id	sid	tid	token	lemma	pos
work_egt7fmczgjgbpjnjxzpgy5npoy	1	1	Deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	1	2	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	1	3	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	1	4	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	5	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	6	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	7	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	1	8	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	9	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	1	10	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	1	12	generation	generation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	13	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	14	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	1	15	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	1	16	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	17	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	18	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	19	Deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	1	20	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	1	21	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	1	22	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	23	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	24	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	25	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	1	26	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	27	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	1	28	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	29	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	1	30	generation	generation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	31	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	32	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	1	33	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	1	34	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	35	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	36	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	37	Antonio	Antonio	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	38	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	39	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	1	40	Domínguez1	Domínguez1	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	41	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	42	*	*	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	43	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	44	Carlos	Carlos	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	45	E.	E.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	46	Galvan	Galvan	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	47	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	1	48	Tejada1	Tejada1	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	49	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	50	*	*	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	51	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	52	Laura	Laura	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	53	A.	a.	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	54	Zanella	Zanella	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	55	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	1	56	Calzada2	Calzada2	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	57	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	58	Hamurabi	Hamurabi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	59	Gamboa1	Gamboa1	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	60	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	61	Jorge	Jorge	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	62	I.	I.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	63	Galván	Galván	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	64	-	-	:
work_egt7fmczgjgbpjnjxzpgy5npoy	1	65	Tejada1	Tejada1	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	66	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	67	José	José	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	68	María	María	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	69	Celaya	Celaya	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	70	Padilla3	Padilla3	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	71	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	72	Huizilopoztli	Huizilopoztli	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	73	Luna	Luna	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	74	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	1	75	García1	García1	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	76	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	77	Jose	Jose	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	78	G.	G.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	79	Arceo	Arceo	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	80	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	1	81	Olague1	Olague1	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	82	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	1	83	Rafael	Rafael	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	84	Magallanes	Magallanes	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	85	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	1	86	Quintanar1	Quintanar1	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	87	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	1	88	Unidad	Unidad	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	89	Académica	Académica	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	90	de	de	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	91	Ingeniería	Ingeniería	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	92	Eléctrica	Eléctrica	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	93	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	94	Universidad	Universidad	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	95	Autónoma	Autónoma	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	96	de	de	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	97	Zacatecas	Zacatecas	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	98	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	99	Zacatecas	Zacatecas	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	100	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	101	Zacatecas	Zacatecas	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	102	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	103	México	México	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	104	2	2	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	1	105	LORIA	LORIA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	106	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	107	Université	Université	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	108	de	de	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	109	Lorraine	Lorraine	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	110	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	111	Nancy	Nancy	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	112	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	113	France	France	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	114	3	3	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	1	115	CONACYT	CONACYT	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	116	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	117	Universidad	Universidad	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	118	Autónoma	Autónoma	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	119	de	de	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	120	Zacatecas	Zacatecas	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	121	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	122	Zacatecas	Zacatecas	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	123	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	124	Zacatecas	Zacatecas	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	125	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	1	126	México	México	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	127	*	*	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	1	128	These	these	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	1	129	authors	author	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	1	130	contributed	contribute	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	1	131	equally	equally	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	1	132	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	133	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	1	134	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	1	135	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	2	1	ABSTRACT	ABSTRACT	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	2	2	Children	Children	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	2	3	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	2	4	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	2	5	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	2	6	CAR	car	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	2	7	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	2	8	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	2	9	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	2	10	subject	subject	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	2	11	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	2	12	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	2	13	numerous	numerous	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	2	14	works	work	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	2	15	have	have	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	2	16	been	be	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	2	17	developed	develop	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	2	18	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	2	19	recent	recent	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	2	20	years	year	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	2	21	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	2	22	most	most	JJS
work_egt7fmczgjgbpjnjxzpgy5npoy	2	23	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	2	24	them	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	2	25	focused	focus	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	2	26	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	2	27	monitoring	monitoring	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	2	28	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	2	29	safety	safety	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	2	30	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	3	1	Commonly	commonly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	3	2	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	3	3	these	these	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	3	4	works	work	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	3	5	use	use	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	3	6	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	3	7	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	3	8	source	source	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	3	9	different	different	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	3	10	types	type	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	3	11	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	3	12	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	3	13	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	3	14	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	3	15	interfere	interfere	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	3	16	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	3	17	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	3	18	natural	natural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	3	19	behavior	behavior	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	3	20	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	3	21	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	3	22	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	3	23	since	since	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	3	24	these	these	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	3	25	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	3	26	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	3	27	embedded	embed	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	3	28	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	3	29	their	-PRON-	PRP$
work_egt7fmczgjgbpjnjxzpgy5npoy	3	30	clothes	clothe	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	3	31	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	4	1	This	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	4	2	article	article	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	4	3	proposes	propose	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	4	4	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	4	5	use	use	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	4	6	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	4	7	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	4	8	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	4	9	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	4	10	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	4	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	4	12	creation	creation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	4	13	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	4	14	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	4	15	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	4	16	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	4	17	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	4	18	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	4	19	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	4	20	through	through	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	4	21	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	4	22	development	development	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	4	23	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	4	24	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	4	25	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	4	26	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	4	27	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	4	28	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	4	29	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	4	30	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	4	31	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	4	32	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	5	1	Initially	initially	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	5	2	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	5	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	5	4	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	5	5	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	5	6	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	5	7	proposed	propose	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	5	8	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	5	9	specifying	specify	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	5	10	its	-PRON-	PRP$
work_egt7fmczgjgbpjnjxzpgy5npoy	5	11	parameters	parameter	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	5	12	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	5	13	defining	define	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	5	14	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	5	15	necessary	necessary	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	5	16	values	value	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	5	17	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	5	18	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	5	19	creation	creation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	5	20	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	5	21	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	5	22	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	5	23	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	5	24	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	6	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	6	2	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	6	3	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	6	4	trained	train	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	6	5	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	6	6	tested	test	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	6	7	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	6	8	two	two	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	6	9	ways	way	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	6	10	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	6	11	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	6	12	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	6	13	70–30	70–30	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	6	14	approach	approach	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	6	15	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	6	16	70	70	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	6	17	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	6	18	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	6	19	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	6	20	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	6	21	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	6	22	training	training	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	6	23	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	6	24	30	30	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	6	25	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	6	26	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	6	27	testing	testing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	6	28	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	6	29	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	6	30	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	6	31	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	6	32	k	k	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	6	33	-	-	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	6	34	fold	fold	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	6	35	cross-	cross-	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	6	36	validation	validation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	6	37	approach	approach	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	6	38	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	7	1	According	accord	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	7	2	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	7	4	results	result	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	7	5	obtained	obtain	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	6	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	7	8	two	two	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	7	9	validation	validation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	10	processes	process	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	7	11	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	7	12	70–30	70–30	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	7	13	splitting	splitting	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	14	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	7	15	k	k	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	16	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	7	17	fold	fold	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	7	18	cross	cross	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	19	validation	validation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	20	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	7	21	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	7	22	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	7	23	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	7	24	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	25	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	7	26	proposed	propose	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	27	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	28	achieves	achieve	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	7	29	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	7	30	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	31	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	32	94.51	94.51	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	7	33	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	34	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	7	35	94.19	94.19	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	7	36	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	37	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	7	38	respectively	respectively	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	7	39	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	7	40	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	7	41	allows	allow	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	7	42	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	7	43	conclude	conclude	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	7	44	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	45	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	7	46	developed	develop	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	47	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	48	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	7	49	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	7	50	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	7	51	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	7	52	its	-PRON-	PRP$
work_egt7fmczgjgbpjnjxzpgy5npoy	7	53	proposed	propose	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	54	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	55	achieves	achieve	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	7	56	significant	significant	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	7	57	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	58	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	59	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	7	60	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	7	61	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	62	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	63	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	64	analyzing	analyze	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	7	65	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	7	66	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	7	67	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	8	1	Subjects	Subjects	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	8	2	Artificial	Artificial	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	8	3	Intelligence	Intelligence	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	8	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	8	5	Data	Data	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	8	6	Mining	Mining	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	8	7	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	8	8	Machine	Machine	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	8	9	Learning	Learning	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	8	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	8	11	Data	Data	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	8	12	Science	Science	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	8	13	Keywords	Keywords	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	8	14	Children	Children	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	8	15	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	16	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	17	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	8	18	Environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	8	19	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	20	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	8	21	Machine	machine	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	22	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	23	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	8	24	Deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	8	25	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	8	26	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	8	27	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	28	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	8	29	Environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	8	30	intelligence	intelligence	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	31	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	8	32	Human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	8	33	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	34	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	35	INTRODUCTION	introduction	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	36	Environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	8	37	intelligence	intelligence	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	38	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	8	39	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	8	40	area	area	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	41	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	42	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	8	43	intelligence	intelligence	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	44	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	8	45	has	have	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	8	46	made	make	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	47	great	great	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	8	48	progress	progress	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	49	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	50	recent	recent	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	8	51	years	year	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	8	52	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	8	53	Cook	Cook	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	8	54	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	8	55	Augusto	Augusto	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	8	56	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	8	57	Jakkula	Jakkula	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	8	58	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	8	59	2009	2009	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	8	60	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	8	61	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	8	62	mainly	mainly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	8	63	driven	drive	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	64	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	65	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	8	66	development	development	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	67	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	68	new	new	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	8	69	devices	device	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	8	70	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	8	71	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	8	72	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	8	73	facilitate	facilitate	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	8	74	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	8	75	capture	capture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	76	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	8	77	processing	processing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	8	78	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	8	79	Stipanicev	Stipanicev	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	8	80	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	8	81	Bodrozic	Bodrozic	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	8	82	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	8	83	Stula	Stula	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	8	84	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	8	85	2007	2007	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	8	86	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	8	87	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	9	1	Advances	advance	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	9	2	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	9	3	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	9	4	area	area	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	9	5	have	have	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	6	gone	go	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	9	7	hand	hand	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	9	8	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	9	9	hand	hand	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	9	10	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	9	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	9	12	development	development	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	9	13	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	9	14	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	9	15	Internet	Internet	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	16	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	9	17	Things	thing	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	9	18	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	9	19	IoT	IoT	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	20	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	9	21	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	9	22	Wortmann	Wortmann	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	23	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	9	24	Flüchter	Flüchter	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	25	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	9	26	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	9	27	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	9	28	Li	Li	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	29	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	9	30	Da	Da	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	31	Xu	Xu	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	32	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	9	33	Zhao	Zhao	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	34	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	9	35	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	9	36	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	9	37	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	9	38	Smart	Smart	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	39	Cities	Cities	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	40	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	9	41	Albino	Albino	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	42	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	9	43	Berardi	Berardi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	44	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	9	45	Dangelico	Dangelico	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	46	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	9	47	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	9	48	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	9	49	Arasteh	Arasteh	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	50	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	51	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	52	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	53	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	9	54	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	9	55	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	9	56	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	9	57	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	9	58	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	9	59	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	9	60	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	9	61	found	find	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	9	62	How	how	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	9	63	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	9	64	cite	cite	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	9	65	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	9	66	article	article	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	9	67	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	68	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	9	69	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	70	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	71	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	9	72	Galvan	Galvan	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	73	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	9	74	Tejada	Tejada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	75	CE	CE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	76	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	9	77	Zanella	Zanella	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	78	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	9	79	Calzada	Calzada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	80	LA	LA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	81	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	9	82	Gamboa	Gamboa	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	83	H	H	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	84	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	9	85	Galván	Galván	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	86	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	9	87	Tejada	Tejada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	88	JI	JI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	89	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	9	90	Celaya	Celaya	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	91	Padilla	Padilla	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	92	JM	JM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	93	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	9	94	Luna	Luna	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	95	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	9	96	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	97	H	H	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	98	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	9	99	Arceo	Arceo	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	100	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	9	101	Olague	Olague	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	102	JG	JG	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	103	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	9	104	Magallanes	Magallanes	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	105	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	9	106	Quintanar	Quintanar	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	107	R.	R.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	9	108	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	9	109	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	10	1	Deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	10	2	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	10	3	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	10	4	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	10	5	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	10	6	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	10	7	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	10	8	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	10	9	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	10	10	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	10	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	10	12	generation	generation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	10	13	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	10	14	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	10	15	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	10	16	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	10	17	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	10	18	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	10	19	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	11	1	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	11	2	Comput	comput	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	11	3	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	12	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	12	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	13	1	6	6	LS
work_egt7fmczgjgbpjnjxzpgy5npoy	13	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	13	3	e308	e308	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	13	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	13	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	13	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	13	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	10	Submitted	Submitted	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	11	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	13	12	May	May	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	13	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	13	14	Accepted	accept	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	13	15	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	13	16	October	October	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	17	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	13	18	Published	publish	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	13	19	9	9	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	13	20	November	November	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	21	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	13	22	Corresponding	Corresponding	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	23	author	author	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	13	24	Antonio	Antonio	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	25	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	26	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	13	27	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	28	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	13	29	antonio.garcia@uaz.edu.mx	antonio.garcia@uaz.edu.mx	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	13	30	Academic	academic	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	13	31	editor	editor	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	13	32	Pinar	Pinar	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	33	Duygulu	Duygulu	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	34	Additional	Additional	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	35	Information	Information	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	36	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	13	37	Declarations	declaration	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	13	38	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	13	39	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	13	40	found	find	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	13	41	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	13	42	page	page	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	13	43	15	15	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	13	44	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	45	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	13	46	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	13	47	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	48	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	13	49	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	50	Copyright	Copyright	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	51	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	13	52	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	53	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	13	54	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	55	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	56	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	13	57	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	14	1	Distributed	distribute	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	14	2	under	under	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	14	3	Creative	Creative	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	14	4	Commons	Commons	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	14	5	CC	CC	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	14	6	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	14	7	BY	BY	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	14	8	4.0	4.0	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	14	9	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	14	10	mailto	mailto	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	14	11	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	14	12	antonio.	antonio.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	14	13	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	14	14	garcia@	garcia@	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	14	15	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	14	16	uaz.	uaz.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	14	17	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	14	18	edu.	edu.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	14	19	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	14	20	mx	mx	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	14	21	https://peerj.com/academic-boards/editors/	https://peerj.com/academic-boards/editors/	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	14	22	https://peerj.com/academic-boards/editors/	https://peerj.com/academic-boards/editors/	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	14	23	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	14	24	http://www.creativecommons.org/licenses/by/4.0/	http://www.creativecommons.org/licenses/by/4.0/	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	14	25	http://www.creativecommons.org/licenses/by/4.0/	http://www.creativecommons.org/licenses/by/4.0/	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	14	26	https://peerj.com/computer-science/	https://peerj.com/computer-science/	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	14	27	different	different	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	14	28	intelligent	intelligent	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	14	29	systems	system	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	14	30	created	create	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	14	31	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	14	32	provide	provide	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	14	33	services	service	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	14	34	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	14	35	population	population	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	14	36	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	15	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	15	2	most	most	RBS
work_egt7fmczgjgbpjnjxzpgy5npoy	15	3	recent	recent	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	15	4	developments	development	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	15	5	have	have	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	6	focused	focus	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	15	7	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	15	8	applications	application	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	15	9	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	15	10	facilitate	facilitate	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	15	12	interaction	interaction	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	15	13	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	15	14	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	15	15	beings	being	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	15	16	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	15	17	their	-PRON-	PRP$
work_egt7fmczgjgbpjnjxzpgy5npoy	15	18	environment	environment	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	15	19	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	20	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	15	21	different	different	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	15	22	areas	area	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	15	23	such	such	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	15	24	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	15	25	engineering	engineering	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	15	26	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	15	27	Gupta	Gupta	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	28	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	15	29	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	30	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	31	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	32	2014	2014	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	15	33	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	15	34	Corno	Corno	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	35	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	15	36	De	De	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	37	Russis	Russis	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	38	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	39	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	15	40	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	15	41	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	42	medicine	medicine	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	15	43	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	15	44	Roda	Roda	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	45	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	46	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	47	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	48	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	49	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	15	50	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	15	51	Ziuziański	Ziuziański	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	52	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	53	Furmankiewicz	Furmankiewicz	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	54	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	15	55	Sołtysik-	Sołtysik-	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	56	Piorunkiewicz	Piorunkiewicz	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	57	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	58	2014	2014	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	15	59	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	15	60	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	61	energy	energy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	15	62	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	15	63	Robinson	Robinson	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	64	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	65	Sanders	Sanders	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	66	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	15	67	Mazharsolook	Mazharsolook	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	68	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	69	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	15	70	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	15	71	Cristani	Cristani	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	72	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	73	Karafili	Karafili	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	74	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	15	75	Tomazzoli	Tomazzoli	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	76	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	77	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	15	78	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	15	79	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	80	ambient	ambient	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	15	81	assisted	assist	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	15	82	living	living	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	15	83	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	15	84	Lloret	Lloret	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	85	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	86	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	87	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	88	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	89	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	15	90	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	15	91	Blasco	Blasco	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	92	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	93	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	94	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	95	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	96	2014	2014	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	15	97	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	15	98	Memon	Memon	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	99	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	100	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	101	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	102	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	103	2014	2014	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	15	104	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	15	105	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	106	among	among	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	15	107	others	other	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	15	108	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	15	109	Al	Al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	110	Nuaimi	Nuaimi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	111	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	15	112	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	113	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	114	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	115	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	15	116	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	15	117	Hu	Hu	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	118	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	15	119	Ni	Ni	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	15	120	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	15	121	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	15	122	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	15	123	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	16	1	Many	many	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	16	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	16	4	projects	project	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	16	5	developed	develop	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	6	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	16	7	implemented	implement	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	8	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	9	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	16	10	area	area	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	11	rely	rely	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	12	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	13	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	16	14	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	15	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	16	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	16	17	HAR	HAR	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	18	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	16	19	systems	system	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	16	20	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	16	21	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	16	22	base	base	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	23	their	-PRON-	PRP$
work_egt7fmczgjgbpjnjxzpgy5npoy	16	24	operation	operation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	25	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	26	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	16	27	use	use	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	28	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	29	different	different	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	16	30	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	16	31	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	32	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	16	33	data	data	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	34	source	source	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	35	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	16	36	determine	determine	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	16	37	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	16	38	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	39	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	16	40	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	16	41	person	person	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	42	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	16	43	group	group	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	44	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	45	people	people	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	16	46	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	47	performing	perform	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	16	48	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	16	49	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	50	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	16	51	information	information	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	52	provide	provide	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	16	53	some	some	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	16	54	kind	kind	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	55	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	56	service	service	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	16	57	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	16	58	Alahi	Alahi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	59	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	16	60	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	61	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	62	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	16	63	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	16	64	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	16	65	Uddin	Uddin	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	66	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	16	67	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	16	68	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	16	69	Cippitelli	Cippitelli	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	70	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	71	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	72	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	73	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	16	74	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	16	75	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	16	76	Burbano	Burbano	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	77	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	16	78	Carrera	Carrera	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	79	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	16	80	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	16	81	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	16	82	Ignatov	Ignatov	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	83	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	16	84	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	16	85	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	16	86	Rafferty	Rafferty	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	87	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	88	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	89	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	16	90	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	16	91	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	16	92	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	16	93	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	17	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	17	2	works	work	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	17	3	related	relate	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	17	4	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	17	5	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	17	6	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	17	7	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	17	8	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	17	9	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	17	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	17	11	different	different	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	17	12	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	17	13	sources	source	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	17	14	have	have	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	17	15	been	be	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	17	16	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	17	17	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	17	18	collect	collect	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	17	19	information	information	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	17	20	about	about	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	17	21	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	17	22	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	17	23	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	17	24	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	17	25	analyzed	analyze	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	17	26	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	18	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	18	2	most	most	RBS
work_egt7fmczgjgbpjnjxzpgy5npoy	18	3	common	common	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	18	4	data	data	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	18	5	sources	source	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	18	6	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	18	7	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	8	video	video	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	18	9	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	18	10	Caba	Caba	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	11	Heilbron	Heilbron	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	12	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	18	13	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	14	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	18	16	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	18	17	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	18	18	Boufama	Boufama	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	19	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	18	20	Habashi	Habashi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	21	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	18	22	Ahmad	Ahmad	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	23	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	18	24	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	18	25	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	18	26	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	18	27	audio	audio	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	28	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	18	29	Liang	Liang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	30	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	18	31	Thomaz	Thomaz	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	32	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	18	33	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	18	34	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	18	35	Galván	Galván	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	36	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	18	37	Tejada	Tejada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	38	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	18	39	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	40	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	41	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	18	42	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	18	43	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	18	44	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	18	45	Radio	Radio	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	46	Frequency	Frequency	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	47	Identification	Identification	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	48	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	18	49	RFID	RFID	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	50	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	18	51	devices	device	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	18	52	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	18	53	Li	Li	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	54	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	18	55	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	56	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	57	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	18	58	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	18	59	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	18	60	Wang	Wang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	61	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	18	62	Zhou	Zhou	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	63	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	18	64	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	18	65	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	18	66	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	18	67	smartphones	smartphone	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	18	68	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	18	69	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	18	70	Wang	Wang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	71	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	72	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	73	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	74	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	18	75	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	18	76	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	18	77	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	18	78	such	such	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	18	79	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	18	80	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	18	81	accelerometer	accelerometer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	18	82	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	18	83	Lee	Lee	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	84	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	18	85	Yoon	Yoon	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	86	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	18	87	Cho	Cho	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	18	88	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	18	89	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	18	90	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	18	91	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	19	1	Another	another	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	19	2	important	important	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	19	3	aspect	aspect	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	19	4	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	19	5	consider	consider	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	19	6	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	19	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	19	8	group	group	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	19	9	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	19	10	people	people	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	19	11	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	19	12	whom	whom	WP
work_egt7fmczgjgbpjnjxzpgy5npoy	19	13	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	19	14	study	study	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	19	15	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	19	16	directed	direct	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	19	17	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	19	18	since	since	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	19	19	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	19	20	type	type	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	19	21	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	19	22	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	19	23	source	source	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	19	24	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	19	25	use	use	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	19	26	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	19	27	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	19	28	techniques	technique	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	19	29	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	19	30	algorithms	algorithm	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	19	31	used	use	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	19	32	depend	depend	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	19	33	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	19	34	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	19	35	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	20	1	Most	Most	JJS
work_egt7fmczgjgbpjnjxzpgy5npoy	20	2	applications	application	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	20	3	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	20	4	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	20	5	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	20	6	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	20	7	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	20	8	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	20	9	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	10	designed	design	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	20	11	considering	consider	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	20	12	adults	adult	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	20	13	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	20	14	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	20	15	group	group	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	20	16	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	20	17	interest	interest	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	20	18	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	20	19	Reyes	Reyes	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	20	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	20	21	Ortiz	Ortiz	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	22	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	23	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	24	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	25	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	20	26	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	20	27	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	20	28	Hammerla	Hammerla	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	29	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	20	30	Halloran	Halloran	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	31	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	20	32	Plötz	Plötz	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	33	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	20	34	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	20	35	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	20	36	Concone	Concone	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	37	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	20	38	Re	Re	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	39	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	20	40	Morana	Morana	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	41	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	20	42	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	20	43	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	20	44	Brophy	Brophy	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	45	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	46	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	47	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	48	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	20	49	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	20	50	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	20	51	Lyu	Lyu	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	52	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	20	53	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	54	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	20	55	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	20	56	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	20	57	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	20	58	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	21	1	Another	another	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	21	2	group	group	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	21	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	21	4	people	people	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	21	5	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	21	6	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	21	7	works	work	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	21	8	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	21	9	commonly	commonly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	21	10	developed	develop	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	21	11	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	21	12	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	21	13	elderly	elderly	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	21	14	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	21	15	especially	especially	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	21	16	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	21	17	automatic	automatic	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	21	18	assisted	assisted	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	21	19	living	living	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	21	20	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	21	21	health	health	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	21	22	care	care	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	21	23	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	21	24	Capela	Capela	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	21	25	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	21	26	Lemaire	Lemaire	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	21	27	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	21	28	Baddour	Baddour	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	21	29	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	21	30	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	21	31	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	21	32	Sebestyen	Sebestyen	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	21	33	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	21	34	Stoica	Stoica	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	21	35	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	21	36	Hangan	Hangan	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	21	37	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	21	38	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	21	39	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	21	40	De	De	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	21	41	la	la	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	21	42	Concepción	Concepción	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	21	43	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	21	44	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	21	45	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	21	46	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	21	47	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	21	48	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	21	49	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	22	1	Children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	22	2	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	22	3	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	22	4	group	group	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	22	5	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	22	6	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	22	7	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	22	8	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	22	9	also	also	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	22	10	common	common	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	22	11	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	22	12	develop	develop	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	22	13	applications	application	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	22	14	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	22	15	monitoring	monitoring	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	22	16	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	22	17	safety	safety	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	22	18	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	22	19	Mannini	Mannini	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	22	20	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	22	21	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	22	22	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	22	23	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	22	24	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	22	25	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	22	26	Kurashima	Kurashima	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	22	27	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	22	28	Suzuki	Suzuki	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	22	29	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	22	30	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	22	31	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	22	32	Trost	Trost	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	22	33	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	22	34	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	22	35	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	22	36	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	22	37	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	22	38	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	22	39	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	23	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	23	2	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	23	3	’s	’s	POS
work_egt7fmczgjgbpjnjxzpgy5npoy	23	4	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	23	5	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	23	6	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	23	7	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	23	8	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	23	9	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	23	10	topic	topic	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	23	11	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	23	12	has	have	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	23	13	attracted	attract	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	23	14	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	23	15	attention	attention	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	23	16	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	23	17	many	many	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	23	18	researchers	researcher	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	23	19	due	due	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	23	20	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	23	21	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	23	22	implications	implication	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	23	23	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	23	24	variables	variable	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	23	25	involved	involve	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	23	26	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	24	1	There	there	EX
work_egt7fmczgjgbpjnjxzpgy5npoy	24	2	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	24	3	several	several	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	24	4	factors	factor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	24	5	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	24	6	consider	consider	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	24	7	such	such	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	24	8	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	24	9	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	24	10	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	24	11	1	1	LS
work_egt7fmczgjgbpjnjxzpgy5npoy	24	12	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	24	13	Number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	24	14	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	24	15	individuals	individual	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	24	16	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	25	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	25	2	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	25	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	25	4	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	25	5	acting	act	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	25	6	simultaneously	simultaneously	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	25	7	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	25	8	undoubtedly	undoubtedly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	25	9	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	25	10	important	important	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	25	11	aspect	aspect	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	25	12	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	25	13	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	25	14	considered	consider	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	25	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	25	16	since	since	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	25	17	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	25	18	complete	complete	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	25	19	design	design	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	25	20	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	25	21	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	25	22	system	system	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	25	23	changes	change	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	25	24	if	if	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	25	25	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	25	26	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	25	27	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	25	28	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	25	29	2	2	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	25	30	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	25	31	3	3	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	25	32	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	25	33	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	25	34	group	group	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	25	35	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	25	36	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	25	37	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	25	38	analyzed	analyze	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	25	39	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	26	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	26	2	2	2	LS
work_egt7fmczgjgbpjnjxzpgy5npoy	26	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	26	4	Age	age	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	26	5	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	26	6	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	26	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	27	1	Because	because	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	27	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	27	3	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	27	4	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	27	5	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	27	6	perform	perform	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	27	7	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	27	8	related	relate	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	27	9	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	27	10	their	-PRON-	PRP$
work_egt7fmczgjgbpjnjxzpgy5npoy	27	11	age	age	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	27	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	27	13	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	27	14	set	set	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	27	15	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	27	16	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	27	17	considered	consider	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	27	18	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	27	19	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	27	20	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	27	21	changes	change	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	27	22	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	27	23	each	each	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	27	24	defined	define	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	27	25	group	group	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	27	26	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	27	27	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	27	28	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	28	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	28	2	3	3	LS
work_egt7fmczgjgbpjnjxzpgy5npoy	28	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	28	4	Place	place	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	28	5	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	28	6	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	28	7	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	28	8	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	28	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	29	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	29	2	environment	environment	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	29	3	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	29	4	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	29	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	29	6	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	29	7	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	29	8	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	29	9	performed	perform	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	29	10	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	29	11	also	also	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	29	12	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	29	13	important	important	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	29	14	factor	factor	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	29	15	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	29	16	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	29	17	considered	consider	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	29	18	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	29	19	since	since	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	29	20	there	there	EX
work_egt7fmczgjgbpjnjxzpgy5npoy	29	21	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	29	22	external	external	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	29	23	factors	factor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	29	24	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	29	25	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	29	26	affect	affect	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	29	27	some	some	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	29	28	processes	process	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	29	29	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	29	30	e.g.	e.g.	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	29	31	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	29	32	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	29	33	noisy	noisy	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	29	34	environment	environment	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	29	35	would	would	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	29	36	affect	affect	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	29	37	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	29	38	data	data	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	29	39	capture	capture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	29	40	process	process	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	29	41	when	when	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	29	42	working	work	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	29	43	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	29	44	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	29	45	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	29	46	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	29	47	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	29	48	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	29	49	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	29	50	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	29	51	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	30	1	And	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	30	2	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	30	3	4	4	LS
work_egt7fmczgjgbpjnjxzpgy5npoy	30	4	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	30	5	Data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	30	6	source	source	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	30	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	31	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	31	2	type	type	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	31	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	31	4	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	31	5	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	31	6	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	31	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	31	8	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	31	9	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	31	10	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	31	11	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	31	12	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	31	13	fundamental	fundamental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	31	14	variable	variable	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	31	15	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	31	16	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	31	17	system	system	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	31	18	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	31	19	since	since	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	31	20	its	-PRON-	PRP$
work_egt7fmczgjgbpjnjxzpgy5npoy	31	21	entire	entire	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	31	22	design	design	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	31	23	depends	depend	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	31	24	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	31	25	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	31	26	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	32	1	If	if	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	32	2	you	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	32	3	work	work	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	32	4	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	32	5	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	32	6	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	32	7	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	32	8	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	32	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	33	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	33	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	33	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	33	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	33	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	33	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	33	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	34	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	34	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	34	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	34	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	34	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	34	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	34	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	34	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	34	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	34	10	2/22	2/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	34	11	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	34	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	ADD
work_egt7fmczgjgbpjnjxzpgy5npoy	34	13	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	34	14	images	image	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	34	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	34	16	audio	audio	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	34	17	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	34	18	video	video	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	34	19	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	34	20	embedded	embed	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	34	21	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	34	22	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	34	23	audio	audio	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	34	24	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	34	25	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	34	26	way	way	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	34	27	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	34	28	act	act	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	34	29	changes	change	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	34	30	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	34	31	each	each	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	34	32	situation	situation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	34	33	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	35	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	35	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	35	3	area	area	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	35	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	35	5	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	35	6	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	35	7	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	35	8	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	35	9	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	35	10	common	common	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	35	11	data	data	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	35	12	sources	source	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	35	13	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	35	14	video	video	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	35	15	cameras	camera	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	35	16	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	35	17	accelerometers	accelerometer	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	35	18	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	35	19	RFID	rfid	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	35	20	devices	device	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	35	21	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	35	22	Westeyn	Westeyn	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	35	23	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	35	24	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	35	25	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	35	26	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	35	27	2011	2011	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	35	28	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	35	29	Boughorbel	Boughorbel	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	35	30	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	35	31	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	35	32	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	35	33	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	35	34	2010	2010	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	35	35	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	35	36	Shoaib	Shoaib	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	35	37	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	35	38	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	35	39	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	35	40	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	35	41	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	35	42	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	35	43	Mannini	Mannini	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	35	44	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	35	45	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	35	46	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	35	47	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	35	48	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	35	49	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	35	50	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	36	1	Most	Most	JJS
work_egt7fmczgjgbpjnjxzpgy5npoy	36	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	36	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	36	4	works	work	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	36	5	presented	present	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	36	6	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	36	7	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	36	8	area	area	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	36	9	perform	perform	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	36	10	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	36	11	data	data	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	36	12	capture	capture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	36	13	process	process	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	36	14	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	36	15	wearable	wearable	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	36	16	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	36	17	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	36	18	making	make	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	36	19	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	36	20	possible	possible	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	36	21	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	36	22	identify	identify	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	36	23	2	2	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	36	24	types	type	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	36	25	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	36	26	disadvantages	disadvantage	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	36	27	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	36	28	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	36	29	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	37	1	Interference	interference	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	37	2	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	37	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	37	4	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	37	5	’s	’s	POS
work_egt7fmczgjgbpjnjxzpgy5npoy	37	6	natural	natural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	37	7	behavior	behavior	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	37	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	38	1	Wearing	wear	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	38	2	wearable	wearable	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	38	3	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	38	4	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	38	5	cause	cause	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	38	6	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	38	7	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	38	8	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	38	9	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	38	10	their	-PRON-	PRP$
work_egt7fmczgjgbpjnjxzpgy5npoy	38	11	curious	curious	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	38	12	instincts	instinct	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	38	13	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	38	14	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	38	15	become	become	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	38	16	distracted	distract	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	38	17	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	38	18	feeling	feel	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	38	19	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	38	20	foreign	foreign	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	38	21	object	object	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	38	22	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	38	23	him	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	38	24	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	38	25	not	not	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	38	26	perform	perform	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	38	27	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	38	28	normally	normally	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	38	29	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	38	30	e.g.	e.g.	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	38	31	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	38	32	crying	cry	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	38	33	because	because	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	38	34	they	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	38	35	want	want	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	38	36	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	38	37	remove	remove	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	38	38	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	38	39	sensor	sensor	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	38	40	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	38	41	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	39	1	This	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	39	2	type	type	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	39	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	39	4	behavior	behavior	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	39	5	would	would	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	39	6	cause	cause	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	39	7	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	39	8	alteration	alteration	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	39	9	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	39	10	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	39	11	captured	capture	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	39	12	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	39	13	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	39	14	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	39	15	these	these	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	39	16	were	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	39	17	not	not	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	39	18	representative	representative	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	39	19	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	39	20	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	39	21	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	39	22	commonly	commonly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	39	23	performed	perform	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	39	24	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	39	25	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	39	26	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	39	27	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	39	28	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	39	29	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	39	30	being	be	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	39	31	subject	subject	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	39	32	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	39	33	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	39	34	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	40	1	2	2	LS
work_egt7fmczgjgbpjnjxzpgy5npoy	40	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	41	1	Possible	possible	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	41	2	physical	physical	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	41	3	damage	damage	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	41	4	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	41	5	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	41	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	42	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	42	2	fact	fact	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	42	3	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	42	4	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	42	5	sensor	sensor	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	42	6	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	42	7	located	locate	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	42	8	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	42	9	one	one	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	42	10	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	42	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	42	12	clothes	clothe	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	42	13	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	42	14	parts	part	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	42	15	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	42	16	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	42	17	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	42	18	’s	’s	POS
work_egt7fmczgjgbpjnjxzpgy5npoy	42	19	body	body	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	42	20	makes	make	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	42	21	possible	possible	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	42	22	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	42	23	risk	risk	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	42	24	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	42	25	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	42	26	sensor	sensor	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	42	27	may	may	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	42	28	suffer	suffer	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	42	29	physical	physical	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	42	30	damage	damage	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	42	31	while	while	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	42	32	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	42	33	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	42	34	perform	perform	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	42	35	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	42	36	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	42	37	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	42	38	because	because	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	42	39	they	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	42	40	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	42	41	unpredictable	unpredictable	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	42	42	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	42	43	e.g.	e.g.	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	42	44	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	42	45	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	42	46	wet	wet	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	42	47	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	42	48	hit	hit	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	42	49	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	42	50	smart	smart	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	42	51	watch	watch	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	42	52	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	42	53	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	43	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	43	2	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	43	3	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	43	4	generally	generally	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	43	5	not	not	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	43	6	made	make	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	43	7	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	43	8	rough	rough	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	43	9	use	use	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	43	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	43	11	so	so	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	43	12	improper	improper	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	43	13	use	use	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	43	14	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	43	15	even	even	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	43	16	physical	physical	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	43	17	damage	damage	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	43	18	could	could	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	43	19	represent	represent	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	43	20	inappropriate	inappropriate	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	43	21	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	43	22	capture	capture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	43	23	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	43	24	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	43	25	system	system	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	43	26	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	44	1	To	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	44	2	mitigate	mitigate	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	44	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	44	4	problem	problem	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	44	5	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	44	6	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	44	7	wearable	wearable	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	44	8	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	44	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	44	10	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	44	11	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	44	12	necessary	necessary	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	44	13	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	44	14	use	use	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	44	15	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	44	16	different	different	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	44	17	data	data	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	44	18	source	source	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	44	19	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	44	20	does	do	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	44	21	not	not	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	44	22	interfere	interfere	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	44	23	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	44	24	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	44	25	analyzed	analyze	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	44	26	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	44	27	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	44	28	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	44	29	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	44	30	purpose	purpose	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	44	31	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	44	32	has	have	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	44	33	been	be	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	44	34	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	44	35	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	44	36	some	some	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	44	37	works	work	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	44	38	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	44	39	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	44	40	source	source	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	44	41	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	44	42	Galván	Galván	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	44	43	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	44	44	Tejada	Tejada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	44	45	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	44	46	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	44	47	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	44	48	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	44	49	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	44	50	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	44	51	Sim	Sim	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	44	52	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	44	53	Lee	Lee	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	44	54	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	44	55	Kwon	Kwon	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	44	56	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	44	57	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	44	58	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	44	59	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	45	1	Capturing	capture	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	45	2	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	45	3	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	45	4	has	have	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	45	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	45	6	advantage	advantage	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	45	7	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	45	8	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	45	9	capture	capture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	45	10	device	device	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	45	11	does	do	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	45	12	not	not	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	45	13	necessarily	necessarily	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	45	14	have	have	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	45	15	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	45	16	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	45	17	carried	carry	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	45	18	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	45	19	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	45	20	individual	individual	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	45	21	who	who	WP
work_egt7fmczgjgbpjnjxzpgy5npoy	45	22	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	45	23	performing	perform	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	45	24	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	45	25	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	45	26	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	45	27	but	but	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	45	28	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	45	29	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	45	30	located	locate	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	45	31	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	45	32	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	45	33	nearby	nearby	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	45	34	place	place	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	45	35	where	where	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	45	36	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	45	37	does	do	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	45	38	not	not	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	45	39	interfere	interfere	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	45	40	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	45	41	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	45	42	performed	perform	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	45	43	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	45	44	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	46	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	46	2	addition	addition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	46	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	46	4	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	46	5	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	46	6	not	not	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	46	7	necessary	necessary	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	46	8	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	46	9	use	use	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	46	10	special	special	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	46	11	equipment	equipment	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	46	12	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	46	13	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	46	14	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	46	15	capture	capture	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	46	16	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	46	17	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	46	18	since	since	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	46	19	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	46	20	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	46	21	possible	possible	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	46	22	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	46	23	use	use	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	46	24	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	46	25	microphone	microphone	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	46	26	present	present	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	46	27	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	46	28	smartphones	smartphone	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	46	29	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	47	1	Machine	machine	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	2	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	3	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	47	4	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	47	5	branch	branch	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	6	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	7	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	47	8	intelligence	intelligence	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	9	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	47	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	47	11	since	since	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	12	its	-PRON-	PRP$
work_egt7fmczgjgbpjnjxzpgy5npoy	47	13	appearance	appearance	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	14	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	47	15	has	have	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	47	16	been	be	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	17	applied	apply	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	18	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	19	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	47	20	wide	wide	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	47	21	variety	variety	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	22	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	23	problems	problem	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	47	24	due	due	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	25	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	26	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	47	27	good	good	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	47	28	results	result	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	47	29	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	47	30	has	have	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	47	31	shown	show	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	32	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	33	terms	term	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	47	34	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	35	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	47	36	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	37	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	47	38	especially	especially	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	47	39	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	40	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	41	problems	problem	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	47	42	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	47	43	such	such	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	47	44	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	45	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	47	46	presented	present	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	47	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	48	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	47	49	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	47	50	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	48	1	Machine	machine	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	48	2	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	48	3	has	have	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	48	4	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	48	5	particularity	particularity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	48	6	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	48	7	being	be	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	48	8	able	able	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	48	9	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	48	10	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	48	11	applied	apply	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	48	12	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	48	13	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	48	14	endless	endless	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	48	15	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	48	16	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	48	17	problems	problem	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	48	18	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	48	19	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	48	20	different	different	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	48	21	types	type	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	48	22	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	48	23	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	48	24	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	48	25	analyze	analyze	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	48	26	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	49	1	Different	different	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	49	2	applications	application	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	49	3	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	49	4	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	49	5	machine	machine	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	49	6	learning	learn	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	49	7	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	49	8	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	49	9	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	49	10	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	49	11	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	49	12	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	49	13	have	have	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	14	been	be	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	49	15	developed	develop	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	49	16	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	49	17	among	among	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	49	18	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	49	19	main	main	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	49	20	commercial	commercial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	49	21	applications	application	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	49	22	developed	develop	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	49	23	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	24	voice	voice	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	49	25	assistants	assistant	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	49	26	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	49	27	such	such	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	49	28	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	49	29	Alexa	Alexa	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	30	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	49	31	Hoy	hoy	UH
work_egt7fmczgjgbpjnjxzpgy5npoy	49	32	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	49	33	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	49	34	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	49	35	Kepuska	Kepuska	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	36	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	49	37	Bohouta	Bohouta	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	38	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	49	39	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	49	40	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	49	41	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	49	42	Siri	Siri	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	43	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	49	44	Aron	Aron	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	45	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	49	46	2011	2011	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	49	47	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	49	48	Kepuska	Kepuska	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	49	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	49	50	Bohouta	Bohouta	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	51	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	49	52	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	49	53	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	49	54	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	49	55	Cortana	Cortana	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	56	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	49	57	Bhat	Bhat	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	58	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	49	59	Lone	Lone	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	60	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	49	61	Paul	Paul	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	62	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	49	63	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	49	64	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	49	65	Hoy	Hoy	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	66	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	49	67	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	49	68	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	49	69	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	49	70	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	49	71	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	49	72	Amazon	Amazon	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	73	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	49	74	Apple	Apple	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	75	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	49	76	Microsoft	Microsoft	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	77	companies	company	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	49	78	respectively	respectively	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	49	79	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	49	80	as	as	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	49	81	well	well	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	49	82	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	49	83	Google	Google	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	84	’s	’s	POS
work_egt7fmczgjgbpjnjxzpgy5npoy	49	85	voice	voice	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	49	86	assistant	assistant	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	49	87	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	49	88	López	López	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	89	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	49	90	Quesada	Quesada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	91	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	49	92	Guerrero	Guerrero	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	49	93	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	49	94	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	49	95	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	49	96	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	50	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	50	2	machine	machine	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	50	3	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	50	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	50	5	specifically	specifically	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	50	6	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	50	7	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	50	8	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	50	9	have	have	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	50	10	also	also	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	50	11	been	be	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	50	12	widely	widely	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	50	13	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	50	14	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	50	15	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	50	16	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	50	17	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	50	18	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	50	19	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	50	20	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	50	21	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	50	22	WaveNet	WaveNet	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	50	23	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	50	24	Van	Van	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	50	25	der	der	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	50	26	Oord	Oord	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	50	27	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	50	28	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	50	29	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	50	30	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	50	31	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	50	32	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	50	33	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	50	34	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	50	35	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	50	36	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	50	37	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	50	38	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	50	39	generating	generate	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	50	40	raw	raw	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	50	41	audio	audio	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	50	42	waveforms	waveform	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	50	43	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	51	1	It	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	51	2	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	51	3	also	also	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	51	4	common	common	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	51	5	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	51	6	find	find	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	51	7	works	work	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	51	8	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	51	9	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	51	10	machine	machine	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	51	11	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	51	12	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	51	13	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	51	14	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	51	15	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	51	16	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	52	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	52	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	52	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	52	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	52	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	52	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	52	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	53	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	53	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	53	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	53	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	53	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	10	3/22	3/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	53	11	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	53	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	53	13	learning	learn	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	53	14	focused	focus	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	53	15	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	53	16	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	53	17	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	53	18	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	53	19	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	53	20	Zhang	Zhang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	21	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	53	22	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	23	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	24	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	53	25	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	53	26	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	53	27	Zeng	Zeng	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	28	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	53	29	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	30	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	31	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	53	32	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	53	33	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	53	34	Lu	Lu	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	35	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	53	36	Zhang	Zhang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	37	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	53	38	Nayak	Nayak	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	39	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	53	40	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	53	41	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	53	42	Piczak	Piczak	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	43	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	53	44	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	53	45	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	53	46	Rong	Rong	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	47	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	53	48	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	53	49	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	53	50	Hershey	Hershey	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	51	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	53	52	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	53	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	53	54	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	53	55	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	53	56	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	53	57	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	54	1	For	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	54	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	54	3	generation	generation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	54	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	54	5	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	54	6	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	54	7	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	54	8	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	54	9	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	54	10	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	54	11	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	54	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	54	13	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	54	14	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	54	15	necessary	necessary	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	54	16	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	54	17	implement	implement	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	54	18	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	54	19	machine	machine	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	54	20	learning	learn	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	54	21	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	54	22	algorithm	algorithm	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	54	23	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	54	24	Jordan	Jordan	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	54	25	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	54	26	Mitchell	Mitchell	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	54	27	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	54	28	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	54	29	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	54	30	Nikam	Nikam	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	54	31	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	54	32	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	54	33	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	54	34	Fatima	Fatima	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	54	35	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	54	36	Pasha	Pasha	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	54	37	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	54	38	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	54	39	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	54	40	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	54	41	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	54	42	after	after	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	54	43	being	be	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	54	44	trained	train	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	54	45	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	54	46	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	54	47	set	set	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	54	48	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	54	49	training	training	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	54	50	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	54	51	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	54	52	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	54	53	able	able	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	54	54	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	54	55	classify	classify	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	54	56	new	new	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	54	57	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	54	58	among	among	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	54	59	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	54	60	analyzed	analyze	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	54	61	classes	class	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	54	62	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	55	1	Some	some	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	55	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	55	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	55	4	most	most	RBS
work_egt7fmczgjgbpjnjxzpgy5npoy	55	5	commonly	commonly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	55	6	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	55	7	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	55	8	algorithms	algorithm	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	55	9	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	55	10	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	55	11	area	area	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	55	12	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	13	Support	Support	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	14	Vector	Vector	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	15	Machine	Machine	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	16	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	17	SVM	SVM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	18	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	19	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	20	Chen	Chen	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	21	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	22	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	23	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	24	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	55	25	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	55	26	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	27	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	55	28	k	k	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	29	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	55	30	Nearest	Nearest	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	31	Neighbor	Neighbor	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	32	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	33	knn	knn	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	34	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	35	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	36	Paul	Paul	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	37	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	55	38	George	George	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	39	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	55	40	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	55	41	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	42	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	55	43	Random	Random	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	44	Forests	Forests	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	55	45	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	46	RF	RF	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	47	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	48	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	49	Uddin	Uddin	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	50	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	55	51	Billah	Billah	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	52	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	55	53	Hossain	Hossain	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	54	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	55	55	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	55	56	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	57	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	55	58	Extra	Extra	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	59	Trees	Trees	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	60	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	61	ET	ET	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	62	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	63	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	64	Uddin	Uddin	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	65	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	55	66	Uddiny	Uddiny	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	67	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	55	68	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	55	69	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	70	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	55	71	Artificial	Artificial	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	72	Neural	Neural	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	73	Networks	Networks	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	74	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	75	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	76	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	77	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	78	Ronao	Ronao	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	79	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	55	80	Cho	Cho	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	81	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	55	82	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	55	83	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	55	84	Suto	Suto	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	85	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	55	86	Oniga	Oniga	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	87	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	55	88	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	55	89	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	55	90	Murad	Murad	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	91	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	55	92	Pyun	Pyun	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	55	93	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	55	94	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	55	95	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	55	96	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	56	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	56	2	recent	recent	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	56	3	years	year	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	56	4	there	there	EX
work_egt7fmczgjgbpjnjxzpgy5npoy	56	5	have	have	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	6	been	be	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	56	7	numerous	numerous	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	56	8	works	work	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	56	9	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	56	10	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	56	11	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	12	focused	focus	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	56	13	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	56	14	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	56	15	creation	creation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	56	16	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	56	17	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	56	18	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	56	19	models	model	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	56	20	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	56	21	due	due	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	56	22	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	56	23	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	56	24	performance	performance	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	56	25	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	56	26	efficiency	efficiency	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	56	27	they	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	28	have	have	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	29	shown	show	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	56	30	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	56	31	Ronao	Ronao	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	32	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	56	33	Cho	Cho	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	34	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	56	35	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	56	36	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	56	37	Hassan	Hassan	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	38	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	39	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	40	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	41	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	56	42	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	56	43	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	56	44	Jiang	Jiang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	45	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	56	46	Yin	Yin	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	47	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	56	48	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	56	49	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	56	50	Nweke	Nweke	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	51	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	52	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	53	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	54	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	56	55	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	56	56	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	56	57	Lubina	Lubina	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	58	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	56	59	Rudzki	Rudzki	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	60	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	56	61	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	56	62	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	56	63	Myo	Myo	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	64	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	56	65	Wettayaprasit	Wettayaprasit	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	66	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	56	67	Aiyarak	Aiyarak	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	56	68	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	56	69	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	56	70	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	56	71	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	57	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	57	2	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	57	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	57	4	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	57	5	classifier	classifier	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	57	6	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	57	7	depends	depend	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	57	8	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	57	9	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	57	10	algorithm	algorithm	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	57	11	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	57	12	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	57	13	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	57	14	analyzed	analyze	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	57	15	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	57	16	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	58	1	When	when	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	58	2	working	work	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	58	3	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	58	4	audio	audio	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	58	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	58	6	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	58	7	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	58	8	possible	possible	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	58	9	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	58	10	extract	extract	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	58	11	features	feature	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	58	12	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	58	13	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	58	14	signals	signal	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	58	15	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	58	16	serve	serve	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	58	17	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	58	18	input	input	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	58	19	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	58	20	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	58	21	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	58	22	algorithms	algorithm	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	58	23	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	59	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	59	2	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	59	3	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	59	4	type	type	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	59	5	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	59	6	features	feature	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	59	7	extracted	extract	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	59	8	depends	depend	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	59	9	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	59	10	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	59	11	application	application	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	59	12	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	59	13	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	59	14	type	type	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	59	15	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	59	16	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	59	17	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	59	18	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	59	19	performed	perform	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	59	20	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	60	1	Previously	previously	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	60	2	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	60	3	we	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	60	4	presented	present	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	60	5	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	60	6	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	7	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	60	8	implemented	implement	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	60	9	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	60	10	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	11	algorithms	algorithm	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	60	12	SVM	SVM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	60	13	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	60	14	kNN	knn	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	60	16	Random	Random	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	60	17	Forests	Forests	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	60	18	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	60	19	Extra	Extra	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	60	20	Trees	Trees	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	60	21	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	60	22	Gradient	Gradient	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	60	23	Boosting	Boosting	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	60	24	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	25	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	60	26	generation	generation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	27	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	28	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	60	29	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	60	30	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	31	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	32	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	33	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	60	34	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	60	35	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	36	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	60	37	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	60	38	working	work	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	60	39	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	40	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	60	41	34-feature	34-feature	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	60	42	set	set	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	43	extracted	extract	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	44	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	45	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	60	46	audios	audio	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	60	47	samples	sample	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	60	48	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	60	49	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	60	50	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	60	51	classifier	classifier	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	52	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	60	53	achieves	achieve	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	60	54	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	60	55	higher	high	JJR
work_egt7fmczgjgbpjnjxzpgy5npoy	60	56	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	57	was	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	60	58	kNN	kNN	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	59	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	60	100	100	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	60	61	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	60	62	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	60	63	Blanco	Blanco	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	60	64	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	60	65	Murillo	Murillo	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	60	66	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	60	67	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	60	68	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	60	69	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	60	70	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	60	71	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	60	72	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	61	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	61	2	addition	addition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	61	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	61	4	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	61	5	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	61	6	was	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	61	7	previously	previously	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	61	8	presented	present	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	61	9	where	where	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	61	10	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	61	11	same	same	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	61	12	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	61	13	algorithms	algorithm	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	61	14	mentioned	mention	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	61	15	above	above	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	61	16	were	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	61	17	analyzed	analyze	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	61	18	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	61	19	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	61	20	27-feature	27-feature	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	61	21	subset	subset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	61	22	was	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	61	23	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	61	24	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	61	25	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	61	26	generation	generation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	61	27	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	61	28	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	61	29	models	model	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	61	30	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	61	31	achieving	achieve	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	61	32	accuracies	accuracy	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	61	33	greater	great	JJR
work_egt7fmczgjgbpjnjxzpgy5npoy	61	34	than	than	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	61	35	90	90	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	61	36	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	61	37	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	61	38	Garca	Garca	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	61	39	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	61	40	Domnguez	Domnguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	61	41	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	61	42	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	61	43	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	61	44	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	61	45	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	61	46	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	61	47	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	62	1	Continuing	continue	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	62	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	62	3	previous	previous	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	62	4	works	work	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	62	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	62	6	we	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	62	7	also	also	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	62	8	developed	develop	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	62	9	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	62	10	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	62	11	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	62	12	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	62	13	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	62	14	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	62	15	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	62	16	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	62	17	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	62	18	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	62	19	through	through	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	62	20	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	62	21	5-feature	5-feature	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	62	22	subset	subset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	62	23	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	62	24	chosen	choose	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	62	25	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	62	26	genetic	genetic	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	62	27	algorithms	algorithm	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	62	28	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	63	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	63	2	that	that	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	63	3	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	63	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	63	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	63	6	same	same	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	63	7	classifying	classifying	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	63	8	algorithms	algorithm	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	63	9	mentioned	mention	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	63	10	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	63	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	63	12	previous	previous	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	63	13	works	work	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	63	14	were	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	63	15	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	63	16	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	63	17	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	63	18	maximum	maximum	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	63	19	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	63	20	obteined	obteined	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	63	21	was	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	63	22	92	92	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	63	23	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	63	24	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	63	25	Garca	Garca	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	63	26	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	63	27	Dominguez	Dominguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	63	28	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	63	29	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	63	30	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	63	31	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	63	32	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	63	33	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	63	34	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	64	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	64	3	present	present	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	64	4	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	64	6	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	64	7	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	8	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	9	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	64	10	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	64	11	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	64	12	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	64	13	proposed	propose	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	14	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	15	its	-PRON-	PRP$
work_egt7fmczgjgbpjnjxzpgy5npoy	64	16	implementation	implementation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	17	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	18	machine	machine	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	19	learning	learn	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	64	20	algorithm	algorithm	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	21	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	22	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	64	23	generation	generation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	24	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	25	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	64	26	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	64	27	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	28	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	29	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	30	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	64	31	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	64	32	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	33	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	64	34	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	35	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	64	36	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	64	37	noise	noise	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	38	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	64	39	free	free	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	64	40	environment	environment	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	41	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	64	42	analyzing	analyze	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	64	43	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	64	44	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	64	45	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	64	46	acting	act	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	64	47	individually	individually	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	64	48	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	65	1	A	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	65	2	34-feature	34-feature	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	65	3	set	set	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	65	4	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	65	5	extracted	extract	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	65	6	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	65	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	65	8	analyzed	analyze	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	65	9	dataset	dataset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	65	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	65	11	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	65	12	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	65	13	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	65	14	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	65	15	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	65	16	generation	generation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	65	17	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	65	18	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	65	19	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	65	20	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	66	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	66	2	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	66	3	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	66	4	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	66	5	trained	train	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	66	6	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	66	7	evaluated	evaluate	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	66	8	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	66	9	terms	term	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	66	10	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	66	11	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	66	12	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	66	13	obtain	obtain	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	66	14	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	66	15	performance	performance	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	66	16	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	66	17	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	66	18	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	66	19	algorithm	algorithm	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	66	20	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	67	1	Two	two	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	67	2	validation	validation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	67	3	approaches	approach	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	67	4	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	67	5	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	67	6	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	67	7	70–30	70–30	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	67	8	split	split	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	67	9	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	67	10	70	70	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	67	11	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	67	12	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	67	13	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	67	14	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	67	15	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	67	16	training	training	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	67	17	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	67	18	30	30	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	67	19	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	67	20	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	67	21	testing	testing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	67	22	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	67	23	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	67	24	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	67	25	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	67	26	k	k	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	67	27	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	67	28	fold	fold	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	67	29	cross	cross	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	67	30	validation	validation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	67	31	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	68	1	This	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	68	2	document	document	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	68	3	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	68	4	organized	organize	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	68	5	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	68	6	follows	follow	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	68	7	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	68	8	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	68	9	materials	material	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	68	10	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	68	11	methods	method	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	68	12	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	68	13	described	describe	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	68	14	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	68	15	detail	detail	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	68	16	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	68	17	“	"	``
work_egt7fmczgjgbpjnjxzpgy5npoy	68	18	Materials	Materials	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	68	19	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	68	20	Methods	method	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	68	21	”	"	''
work_egt7fmczgjgbpjnjxzpgy5npoy	68	22	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	69	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	69	2	“	"	``
work_egt7fmczgjgbpjnjxzpgy5npoy	69	3	Experiments	Experiments	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	69	4	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	69	5	Results	result	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	69	6	”	"	''
work_egt7fmczgjgbpjnjxzpgy5npoy	69	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	69	8	experiments	experiment	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	69	9	performed	perform	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	69	10	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	69	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	69	12	results	result	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	69	13	obtained	obtain	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	69	14	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	69	15	reported	report	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	69	16	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	70	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	70	2	discussion	discussion	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	70	3	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	70	4	conclusions	conclusion	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	70	5	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	70	6	described	describe	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	70	7	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	70	8	“	"	``
work_egt7fmczgjgbpjnjxzpgy5npoy	70	9	Conclusions	Conclusions	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	70	10	”	"	''
work_egt7fmczgjgbpjnjxzpgy5npoy	70	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	71	1	Finally	finally	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	71	2	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	71	3	future	future	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	71	4	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	71	5	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	71	6	presented	present	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	71	7	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	71	8	“	"	``
work_egt7fmczgjgbpjnjxzpgy5npoy	71	9	Future	Future	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	71	10	Work	Work	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	71	11	”	"	''
work_egt7fmczgjgbpjnjxzpgy5npoy	71	12	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	72	1	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	72	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	72	3	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	72	4	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	72	5	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	72	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	73	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	73	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	73	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	73	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	73	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	73	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	73	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	74	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	74	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	74	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	74	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	74	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	74	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	74	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	74	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	74	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	74	10	4/22	4/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	74	11	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	74	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	74	13	MATERIALS	material	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	74	14	AND	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	74	15	METHODS	methods	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	74	16	This	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	74	17	section	section	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	74	18	describes	describe	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	74	19	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	74	20	detail	detail	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	74	21	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	74	22	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	74	23	dataset	dataset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	74	24	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	74	25	made	make	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	74	26	up	up	RP
work_egt7fmczgjgbpjnjxzpgy5npoy	74	27	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	74	28	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	74	29	recordings	recording	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	74	30	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	74	31	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	74	32	different	different	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	74	33	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	74	34	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	74	35	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	74	36	analyzed	analyze	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	74	37	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	74	38	as	as	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	74	39	well	well	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	74	40	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	74	41	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	74	42	extracted	extract	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	74	43	features	feature	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	74	44	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	74	45	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	74	46	generate	generate	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	74	47	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	74	48	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	74	49	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	74	50	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	75	1	Likewise	likewise	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	75	2	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	75	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	75	4	methodology	methodology	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	75	5	used	use	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	75	6	throughout	throughout	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	75	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	75	8	experimentation	experimentation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	75	9	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	75	10	described	describe	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	75	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	76	1	For	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	76	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	76	3	design	design	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	76	4	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	76	5	implementation	implementation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	76	6	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	76	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	76	8	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	76	9	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	76	10	presented	present	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	76	11	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	76	12	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	76	13	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	76	14	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	76	15	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	76	16	Python	Python	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	76	17	programming	programming	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	76	18	language	language	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	76	19	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	76	20	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	76	21	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	76	22	Van	Van	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	76	23	Rossum	Rossum	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	76	24	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	76	25	2007	2007	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	76	26	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	76	27	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	76	28	through	through	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	76	29	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	76	30	Keras	Keras	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	76	31	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	76	32	Chollet	Chollet	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	76	33	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	76	34	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	76	35	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	76	36	library	library	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	76	37	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	76	38	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	76	39	API	API	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	76	40	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	76	41	Application	Application	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	76	42	Programming	Programming	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	76	43	Interface	Interface	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	76	44	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	76	45	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	76	46	high	high	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	76	47	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	76	48	level	level	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	76	49	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	76	50	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	76	51	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	76	52	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	76	53	Tensorflow	Tensorflow	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	76	54	Abadi	Abadi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	76	55	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	76	56	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	76	57	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	77	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	77	2	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	77	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	77	4	library	library	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	77	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	77	6	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	77	7	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	77	8	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	77	9	most	most	RBS
work_egt7fmczgjgbpjnjxzpgy5npoy	77	10	widely	widely	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	77	11	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	77	12	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	77	13	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	77	14	platform	platform	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	77	15	today	today	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	77	16	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	78	1	Dataset	Dataset	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	78	2	description	description	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	78	3	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	78	4	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	78	5	set	set	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	78	6	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	78	7	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	78	8	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	78	9	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	78	10	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	78	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	78	12	same	same	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	78	13	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	78	14	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	78	15	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	78	16	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	78	17	previous	previous	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	78	18	works	work	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	78	19	about	about	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	78	20	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	78	21	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	78	22	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	78	23	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	78	24	Garca	Garca	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	78	25	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	78	26	Domnguez	Domnguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	78	27	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	78	28	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	78	29	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	78	30	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	78	31	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	78	32	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	78	33	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	78	34	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	78	35	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	78	36	no	no	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	78	37	extra	extra	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	78	38	processing	processing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	78	39	was	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	78	40	done	do	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	78	41	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	79	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	79	2	audios	audio	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	79	3	analyzed	analyze	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	79	4	belong	belong	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	79	5	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	79	6	four	four	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	79	7	different	different	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	79	8	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	79	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	79	10	shown	show	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	79	11	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	79	12	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	79	13	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	79	14	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	80	1	As	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	80	2	shown	show	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	80	3	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	80	4	Delgado	Delgado	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	80	5	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	80	6	Contreras	Contreras	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	80	7	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	80	8	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	80	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	81	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	81	2	2014	2014	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	81	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	81	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	81	5	Tarzia	Tarzia	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	81	6	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	81	7	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	81	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	82	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	82	2	2011	2011	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	82	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	82	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	82	5	10-s	10-s	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	82	6	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	82	7	clips	clip	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	82	8	seem	seem	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	82	9	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	82	10	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	82	11	long	long	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	82	12	enough	enough	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	82	13	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	82	14	obtain	obtain	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	82	15	potentially	potentially	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	82	16	useful	useful	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	82	17	information	information	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	82	18	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	82	19	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	82	20	process	process	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	82	21	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	82	22	classifying	classify	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	82	23	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	82	24	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	82	25	analyzing	analyze	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	82	26	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	82	27	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	82	28	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	83	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	83	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	83	3	dataset	dataset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	83	4	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	83	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	83	6	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	83	7	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	83	8	recordings	recording	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	83	9	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	83	10	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	83	11	duration	duration	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	83	12	greater	great	JJR
work_egt7fmczgjgbpjnjxzpgy5npoy	83	13	than	than	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	83	14	10	10	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	83	15	s	s	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	83	16	were	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	83	17	divided	divide	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	83	18	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	83	19	generate	generate	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	83	20	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	83	21	greater	great	JJR
work_egt7fmczgjgbpjnjxzpgy5npoy	83	22	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	83	23	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	83	24	samples	sample	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	83	25	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	84	1	For	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	84	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	84	3	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	84	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	84	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	84	6	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	84	7	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	84	8	10-s	10-s	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	84	9	samples	sample	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	84	10	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	84	11	taken	take	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	84	12	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	85	1	Each	each	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	85	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	85	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	85	4	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	85	5	recordings	recording	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	85	6	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	85	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	85	8	dataset	dataset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	85	9	used	use	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	85	10	belongs	belong	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	85	11	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	85	12	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	85	13	single	single	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	85	14	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	85	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	85	16	so	so	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	85	17	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	85	18	produced	produce	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	85	19	10-s	10-s	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	85	20	clips	clip	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	85	21	also	also	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	85	22	belong	belong	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	85	23	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	85	24	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	85	25	single	single	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	85	26	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	85	27	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	86	1	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	86	2	2	2	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	86	3	shows	show	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	86	4	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	86	5	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	86	6	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	86	7	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	86	8	recordings	recording	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	86	9	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	86	10	10-s	10-s	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	86	11	samples	sample	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	86	12	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	86	13	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	86	14	dataset	dataset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	86	15	has	have	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	86	16	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	86	17	each	each	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	86	18	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	86	19	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	86	20	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	86	21	analyzed	analyze	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	86	22	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	87	1	As	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	87	2	shown	show	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	87	3	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	87	4	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	87	5	2	2	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	87	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	87	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	87	8	dataset	dataset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	87	9	used	use	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	87	10	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	87	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	87	12	presented	presented	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	87	13	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	87	14	consists	consist	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	87	15	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	87	16	2,716	2,716	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	87	17	10-s	10-s	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	87	18	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	87	19	clips	clip	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	87	20	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	87	21	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	87	22	amount	amount	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	87	23	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	87	24	audios	audio	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	87	25	per	per	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	87	26	class	class	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	87	27	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	87	28	balanced	balanced	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	87	29	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	87	30	22.23	22.23	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	87	31	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	87	32	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	87	33	25.88	25.88	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	87	34	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	87	35	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	87	36	25.47	25.47	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	87	37	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	87	38	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	87	39	26.39	26.39	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	87	40	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	87	41	crying	crying	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	87	42	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	87	43	playing	play	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	87	44	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	87	45	running	running	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	87	46	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	87	47	walking	walk	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	87	48	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	87	49	respectively	respectively	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	87	50	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	87	51	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	88	1	There	there	EX
work_egt7fmczgjgbpjnjxzpgy5npoy	88	2	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	88	3	no	no	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	88	4	rule	rule	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	88	5	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	88	6	define	define	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	88	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	88	8	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	88	9	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	88	10	General	general	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	88	11	description	description	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	88	12	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	88	13	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	88	14	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	89	1	Activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	2	Description	description	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	3	Crying	cry	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	89	4	Emitting	Emitting	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	89	5	crying	cry	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	89	6	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	7	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	8	reaction	reaction	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	9	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	10	some	some	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	89	11	event	event	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	12	Playing	play	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	89	13	Handling	handle	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	89	14	plastic	plastic	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	15	pieces	piece	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	89	16	Running	run	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	89	17	Moving	move	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	89	18	quickly	quickly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	89	19	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	20	one	one	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	89	21	place	place	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	22	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	23	another	another	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	89	24	Walking	walk	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	89	25	Moving	move	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	89	26	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	27	one	one	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	89	28	place	place	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	29	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	30	another	another	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	89	31	at	at	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	32	medium	medium	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	89	33	speed	speed	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	34	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	35	2	2	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	89	36	Recordings	Recordings	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	89	37	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	89	38	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	89	39	clips	clip	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	89	40	per	per	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	41	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	89	42	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	90	1	Activity	Activity	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	90	2	Generated	Generated	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	90	3	Taken	Taken	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	90	4	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	90	5	Internet	Internet	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	90	6	Total	Total	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	90	7	Recordings	Recordings	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	90	8	Clips	Clips	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	90	9	Recordings	Recordings	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	90	10	Clips	Clips	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	90	11	Recordings	Recordings	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	90	12	Clips	Clips	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	90	13	Crying	cry	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	90	14	8	8	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	15	72	72	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	16	33	33	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	17	532	532	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	18	41	41	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	19	604	604	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	20	Playing	play	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	90	21	9	9	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	22	67	67	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	23	17	17	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	24	636	636	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	25	26	26	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	26	703	703	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	27	Running	run	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	90	28	9	9	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	29	81	81	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	30	30	30	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	31	611	611	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	32	39	39	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	33	692	692	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	34	Walking	walk	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	90	35	10	10	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	36	65	65	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	37	30	30	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	38	652	652	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	39	40	40	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	40	717	717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	90	41	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	90	42	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	90	43	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	90	44	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	90	45	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	90	46	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	91	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	91	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	91	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	91	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	91	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	91	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	91	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	92	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	92	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	92	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	92	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	92	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	92	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	92	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	92	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	92	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	92	10	5/22	5/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	92	11	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	92	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	92	13	minimum	minimum	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	92	14	size	size	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	15	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	16	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	92	17	dataset	dataset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	18	analyzed	analyze	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	19	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	92	20	machine	machine	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	21	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	22	techniques	technique	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	92	23	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	92	24	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	92	25	only	only	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	92	26	general	general	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	92	27	recommendation	recommendation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	28	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	92	29	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	30	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	92	31	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	92	32	as	as	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	92	33	large	large	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	92	34	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	35	possible	possible	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	92	36	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	92	37	but	but	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	92	38	that	that	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	92	39	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	92	40	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	41	particular	particular	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	92	42	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	43	each	each	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	92	44	case	case	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	45	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	92	46	type	type	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	47	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	48	generated	generate	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	49	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	50	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	92	51	e.g.	e.g.	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	92	52	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	92	53	Barbedo	Barbedo	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	92	54	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	92	55	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	92	56	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	92	57	analyzed	analyze	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	92	58	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	92	59	size	size	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	60	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	61	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	92	62	dataset	dataset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	63	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	64	plant	plant	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	65	disease	disease	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	66	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	67	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	92	68	Dutta	Dutta	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	92	69	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	92	70	Gros	Gros	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	92	71	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	92	72	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	92	73	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	92	74	did	do	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	92	75	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	92	76	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	77	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	92	78	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	79	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	80	medical	medical	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	92	81	images	image	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	92	82	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	92	83	Oyedare	Oyedare	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	92	84	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	92	85	Oyedare	Oyedare	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	92	86	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	92	87	Park	Park	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	92	88	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	92	89	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	92	90	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	92	91	did	do	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	92	92	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	92	93	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	94	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	92	95	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	96	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	97	transmitters	transmitter	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	92	98	through	through	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	99	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	92	100	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	92	101	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	92	102	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	93	1	And	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	93	2	precisely	precisely	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	93	3	one	one	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	93	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	93	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	93	6	points	point	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	93	7	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	93	8	perform	perform	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	93	9	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	93	10	future	future	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	93	11	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	93	12	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	93	13	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	93	14	present	present	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	93	15	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	93	16	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	93	17	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	93	18	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	93	19	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	93	20	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	93	21	dataset	dataset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	93	22	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	93	23	consider	consider	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	93	24	expanding	expand	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	93	25	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	93	26	if	if	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	93	27	necessary	necessary	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	93	28	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	94	1	For	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	94	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	94	3	feature	feature	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	94	4	extraction	extraction	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	94	5	process	process	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	94	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	94	7	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	94	8	set	set	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	94	9	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	94	10	numerical	numerical	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	94	11	features	feature	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	94	12	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	94	13	extracted	extract	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	94	14	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	94	15	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	94	16	10-s	10-s	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	94	17	intervals	interval	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	94	18	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	94	19	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	94	20	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	94	21	signals	signal	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	94	22	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	94	23	these	these	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	94	24	features	feature	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	94	25	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	94	26	shown	show	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	94	27	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	94	28	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	94	29	3	3	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	94	30	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	95	1	These	these	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	95	2	34	34	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	95	3	extracted	extract	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	95	4	features	feature	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	95	5	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	6	those	those	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	95	7	commonly	commonly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	95	8	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	95	9	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	95	10	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	95	11	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	95	12	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	95	13	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	95	14	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	95	15	through	through	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	95	16	audio	audio	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	95	17	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	95	18	Scheirer	Scheirer	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	19	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	95	20	1998	1998	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	95	21	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	95	22	Wang	Wang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	23	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	24	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	25	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	26	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	95	27	2003	2003	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	95	28	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	95	29	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	95	30	especially	especially	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	95	31	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	95	32	mel	mel	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	95	33	-	-	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	95	34	frequency	frequency	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	95	35	spectral	spectral	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	95	36	coefficients	coefficient	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	95	37	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	95	38	since	since	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	95	39	many	many	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	95	40	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	95	41	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	95	42	works	work	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	95	43	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	95	44	make	make	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	45	use	use	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	95	46	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	95	47	them	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	48	have	have	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	49	been	be	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	95	50	developed	develop	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	95	51	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	95	52	Galván	Galván	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	53	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	95	54	Tejada	Tejada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	55	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	95	56	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	57	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	58	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	95	59	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	95	60	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	95	61	Stork	Stork	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	62	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	63	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	64	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	65	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	95	66	2012	2012	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	95	67	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	95	68	Mascia	Mascia	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	69	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	70	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	71	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	95	72	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	95	73	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	95	74	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	95	75	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	96	1	This	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	96	2	set	set	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	96	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	96	4	features	feature	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	96	5	was	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	96	6	extracted	extract	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	96	7	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	96	8	Python	Python	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	96	9	programming	programming	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	96	10	language	language	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	96	11	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	96	12	Van	Van	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	96	13	Rossum	Rossum	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	96	14	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	96	15	2007	2007	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	96	16	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	96	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	97	1	Artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	97	2	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	97	3	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	97	4	An	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	97	5	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	97	6	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	97	7	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	97	8	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	97	9	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	97	10	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	97	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	97	12	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	97	13	structure	structure	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	97	14	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	97	15	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	97	16	brain	brain	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	97	17	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	97	18	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	97	19	basically	basically	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	97	20	learns	learn	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	97	21	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	97	22	experience	experience	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	97	23	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	98	1	This	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	98	2	type	type	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	98	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	98	4	models	model	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	98	5	learn	learn	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	98	6	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	98	7	perform	perform	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	98	8	tasks	task	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	98	9	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	98	10	sample	sample	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	98	11	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	98	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	98	13	without	without	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	98	14	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	98	15	need	need	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	98	16	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	98	17	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	98	18	programed	programed	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	98	19	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	98	20	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	98	21	specific	specific	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	98	22	task	task	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	98	23	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	99	1	An	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	99	2	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	99	3	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	99	4	composed	compose	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	99	5	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	99	6	nodes	node	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	99	7	called	call	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	99	8	neurons	neuron	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	99	9	connected	connect	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	99	10	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	99	11	each	each	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	99	12	other	other	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	99	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	100	1	Each	each	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	100	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	100	3	these	these	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	100	4	connections	connection	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	100	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	100	6	called	call	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	100	7	edges	edge	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	100	8	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	100	9	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	100	10	channels	channel	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	100	11	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	100	12	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	100	13	transmit	transmit	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	100	14	information	information	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	100	15	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	100	16	one	one	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	100	17	neuron	neuron	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	100	18	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	100	19	another	another	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	100	20	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	100	21	Monteiro	Monteiro	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	100	22	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	100	23	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	100	24	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	100	25	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	100	26	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	100	27	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	100	28	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	101	1	These	these	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	101	2	edges	edge	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	101	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	101	4	regularly	regularly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	101	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	101	6	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	101	7	associated	associate	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	101	8	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	101	9	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	101	10	real	real	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	101	11	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	101	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	101	13	called	call	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	101	14	weight	weight	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	101	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	101	16	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	101	17	increases	increase	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	101	18	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	101	19	decreases	decrease	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	101	20	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	101	21	signal	signal	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	101	22	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	101	23	passes	pass	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	101	24	through	through	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	101	25	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	101	26	edges	edge	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	101	27	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	101	28	affects	affect	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	101	29	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	101	30	input	input	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	101	31	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	101	32	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	101	33	next	next	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	101	34	neuron	neuron	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	101	35	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	102	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	102	2	way	way	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	102	3	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	102	4	calculate	calculate	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	102	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	102	6	output	output	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	102	7	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	102	8	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	102	9	neurons	neuron	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	102	10	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	102	11	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	102	12	some	some	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	102	13	non	non	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	102	14	-	-	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	102	15	linear	linear	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	102	16	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	102	17	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	102	18	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	102	19	sum	sum	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	102	20	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	102	21	their	-PRON-	PRP$
work_egt7fmczgjgbpjnjxzpgy5npoy	102	22	inputs	input	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	102	23	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	103	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	103	2	Fig	Fig	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	103	3	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	104	1	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	104	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	104	3	parts	part	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	104	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	104	5	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	104	6	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	104	7	neuron	neuron	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	104	8	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	104	9	shown	show	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	104	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	104	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	104	12	inputs	input	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	104	13	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	104	14	represented	represent	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	104	15	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	104	16	Xi	Xi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	104	17	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	104	18	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	104	19	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	104	20	weights	weight	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	104	21	associated	associate	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	104	22	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	104	23	each	each	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	104	24	edge	edge	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	104	25	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	104	26	wi	wi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	104	27	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	104	28	also	also	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	104	29	within	within	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	104	30	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	104	31	neuron	neuron	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	104	32	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	104	33	transfer	transfer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	104	34	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	104	35	activation	activation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	104	36	functions	function	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	104	37	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	104	38	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	104	39	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	104	40	output	output	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	104	41	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	104	42	calculated	calculate	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	104	43	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	104	44	represented	represent	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	104	45	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	105	1	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	105	2	3	3	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	105	3	Extracted	extract	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	105	4	features	feature	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	105	5	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	106	1	Feature	feature	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	106	2	ID	ID	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	106	3	Feature	Feature	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	106	4	name	name	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	106	5	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	106	6	Zero	zero	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	106	7	crossing	crossing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	106	8	rate	rate	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	106	9	2	2	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	106	10	Energy	energy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	106	11	3	3	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	106	12	Entropy	Entropy	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	106	13	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	106	14	energy	energy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	106	15	4	4	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	106	16	Spectral	Spectral	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	106	17	centriod	centriod	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	106	18	5	5	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	106	19	Spectral	Spectral	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	106	20	spread	spread	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	106	21	6	6	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	106	22	Spectral	Spectral	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	106	23	entropy	entropy	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	106	24	7	7	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	106	25	Spectral	Spectral	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	106	26	flux	flux	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	106	27	8	8	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	106	28	Spectral	Spectral	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	106	29	rollof	rollof	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	106	30	9–21	9–21	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	106	31	MFCCs	MFCCs	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	106	32	22–33	22–33	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	106	33	Chroma	Chroma	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	106	34	vector	vector	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	106	35	34	34	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	106	36	Chroma	Chroma	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	106	37	deviation	deviation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	106	38	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	106	39	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	106	40	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	106	41	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	106	42	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	106	43	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	107	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	107	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	107	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	107	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	107	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	107	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	107	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	108	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	108	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	108	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	108	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	108	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	108	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	108	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	108	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	108	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	108	10	6/22	6/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	108	11	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	108	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	108	13	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	108	14	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	108	15	made	make	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	108	16	up	up	RP
work_egt7fmczgjgbpjnjxzpgy5npoy	108	17	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	108	18	layers	layer	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	108	19	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	108	20	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	108	21	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	108	22	have	have	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	108	23	different	different	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	108	24	types	type	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	108	25	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	108	26	transformations	transformation	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	108	27	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	108	28	their	-PRON-	PRP$
work_egt7fmczgjgbpjnjxzpgy5npoy	108	29	inputs	input	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	108	30	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	109	1	There	there	EX
work_egt7fmczgjgbpjnjxzpgy5npoy	109	2	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	109	3	two	two	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	109	4	fully	fully	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	109	5	identified	identify	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	109	6	layers	layer	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	109	7	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	109	8	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	109	9	input	input	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	109	10	layer	layer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	109	11	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	109	12	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	109	13	output	output	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	109	14	layer	layer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	109	15	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	109	16	Kia	Kia	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	109	17	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	109	18	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	109	19	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	109	20	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	109	21	2012	2012	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	109	22	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	109	23	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	110	1	Therefore	therefore	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	110	2	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	110	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	110	4	data	data	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	110	5	travels	travel	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	110	6	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	110	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	110	8	input	input	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	110	9	layer	layer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	110	10	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	110	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	110	12	output	output	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	110	13	layer	layer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	110	14	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	110	15	going	go	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	110	16	through	through	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	110	17	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	110	18	different	different	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	110	19	intermediate	intermediate	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	110	20	layers	layer	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	110	21	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	110	22	called	call	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	110	23	hidden	hide	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	110	24	layers	layer	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	110	25	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	111	1	Figure	figure	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	111	2	2	2	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	111	3	shows	show	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	111	4	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	111	5	example	example	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	111	6	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	111	7	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	111	8	simple	simple	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	111	9	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	111	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	112	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	112	2	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	112	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	112	4	nodes	node	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	112	5	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	112	6	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	112	7	input	input	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	112	8	layer	layer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	112	9	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	112	10	determined	determine	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	112	11	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	112	12	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	112	13	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	112	14	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	112	15	input	input	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	112	16	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	112	17	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	112	18	Monteiro	Monteiro	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	112	19	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	112	20	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	112	21	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	112	22	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	112	23	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	112	24	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	112	25	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	113	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	113	2	data	data	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	113	3	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	113	4	processed	process	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	113	5	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	113	6	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	113	7	hidden	hide	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	113	8	layers	layer	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	113	9	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	113	10	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	113	11	output	output	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	113	12	layer	layer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	113	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	114	1	There	there	EX
work_egt7fmczgjgbpjnjxzpgy5npoy	114	2	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	114	3	no	no	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	114	4	fixed	fix	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	114	5	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	114	6	recommended	recommend	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	114	7	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	114	8	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	114	9	hidden	hide	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	114	10	layers	layer	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	114	11	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	114	12	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	114	13	their	-PRON-	PRP$
work_egt7fmczgjgbpjnjxzpgy5npoy	114	14	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	114	15	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	114	16	nodes	node	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	114	17	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	114	18	they	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	114	19	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	114	20	regularly	regularly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	114	21	tested	test	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	114	22	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	114	23	trial	trial	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	114	24	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	114	25	error	error	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	114	26	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	114	27	depending	depend	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	114	28	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	114	29	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	114	30	application	application	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	114	31	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	114	32	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	114	33	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	114	34	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	114	35	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	114	36	being	be	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	114	37	designed	design	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	114	38	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	115	1	When	when	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	115	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	115	3	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	115	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	115	5	hidden	hide	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	115	6	layers	layer	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	115	7	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	115	8	large	large	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	115	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	115	10	as	as	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	115	11	well	well	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	115	12	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	115	13	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	115	14	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	115	15	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	115	16	nodes	node	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	115	17	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	115	18	them	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	115	19	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	115	20	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	115	21	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	115	22	said	say	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	115	23	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	115	24	there	there	EX
work_egt7fmczgjgbpjnjxzpgy5npoy	115	25	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	115	26	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	115	27	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	115	28	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	115	29	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	116	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	116	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	116	3	same	same	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	116	4	way	way	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	116	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	116	6	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	116	7	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	116	8	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	116	9	nodes	node	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	116	10	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	116	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	116	12	output	output	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	116	13	layer	layer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	116	14	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	116	15	determined	determine	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	116	16	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	116	17	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	116	18	problem	problem	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	116	19	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	116	20	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	116	21	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	116	22	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	116	23	applies	apply	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	116	24	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	116	25	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	116	26	Figure	figure	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	116	27	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	116	28	Parts	part	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	116	29	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	116	30	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	116	31	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	116	32	neuron	neuron	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	116	33	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	116	34	Xi	Xi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	116	35	represents	represent	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	116	36	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	116	37	inputs	input	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	116	38	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	116	39	wi	wi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	116	40	represents	represent	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	116	41	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	116	42	weights	weight	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	116	43	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	116	44	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	117	1	Full	full	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	117	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	117	3	size	size	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	117	4	DOI	doi	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	117	5	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	117	6	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	117	7	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	117	8	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	117	9	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	117	10	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	117	11	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	117	12	fig-1	fig-1	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	117	13	Figure	Figure	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	117	14	2	2	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	117	15	Example	example	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	117	16	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	117	17	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	117	18	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	117	19	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	118	1	Full	full	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	118	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	118	3	size	size	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	118	4	DOI	doi	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	118	5	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	118	6	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	118	7	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	118	8	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	118	9	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	118	10	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	118	11	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	118	12	fig-2	fig-2	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	118	13	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	118	14	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	118	15	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	118	16	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	118	17	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	118	18	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	119	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	119	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	119	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	119	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	119	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	119	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	119	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	120	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	120	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	120	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	120	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	120	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	120	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	120	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	120	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	120	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	120	10	7/22	7/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	120	11	http://dx.doi.org/10.7717/peerj-cs.308/fig-1	http://dx.doi.org/10.7717/peerj-cs.308/fig-1	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	120	12	http://dx.doi.org/10.7717/peerj-cs.308/fig-2	http://dx.doi.org/10.7717/peerj-cs.308/fig-2	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	120	13	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	120	14	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	120	15	multiclass	multiclass	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	120	16	problems	problem	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	120	17	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	120	18	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	120	19	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	120	20	nodes	node	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	120	21	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	120	22	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	120	23	output	output	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	120	24	layer	layer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	120	25	corresponds	correspond	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	120	26	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	120	27	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	120	28	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	120	29	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	120	30	classes	class	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	120	31	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	120	32	predict	predict	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	120	33	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	121	1	Deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	121	2	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	121	3	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	121	4	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	121	5	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	121	6	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	121	7	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	121	8	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	121	9	definition	definition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	121	10	refers	refer	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	121	11	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	121	12	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	121	13	structure	structure	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	121	14	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	121	15	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	121	16	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	121	17	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	121	18	layers	layer	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	121	19	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	121	20	nodes	node	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	121	21	contained	contain	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	121	22	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	122	1	There	there	EX
work_egt7fmczgjgbpjnjxzpgy5npoy	122	2	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	122	3	not	not	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	122	4	strict	strict	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	122	5	rules	rule	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	122	6	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	122	7	define	define	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	122	8	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	122	9	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	122	10	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	122	11	hidden	hide	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	122	12	layers	layer	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	122	13	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	122	14	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	122	15	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	122	16	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	122	17	nodes	node	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	122	18	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	122	19	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	122	20	depends	depend	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	122	21	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	122	22	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	122	23	problem	problem	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	122	24	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	122	25	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	122	26	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	122	27	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	122	28	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	122	29	implemented	implement	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	122	30	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	122	31	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	122	32	data	data	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	122	33	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	122	34	determined	determine	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	122	35	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	122	36	trial	trial	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	122	37	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	122	38	error	error	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	122	39	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	123	1	One	one	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	123	2	way	way	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	3	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	123	4	select	select	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	123	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	123	6	parameters	parameter	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	123	7	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	8	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	123	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	123	10	such	such	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	123	11	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	12	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	123	13	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	14	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	15	nodes	node	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	123	16	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	123	17	hidden	hide	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	18	layers	layer	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	123	19	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	123	20	has	have	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	123	21	been	be	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	22	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	123	23	adjust	adjust	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	123	24	them	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	123	25	manually	manually	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	123	26	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	123	27	relying	rely	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	123	28	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	29	very	very	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	123	30	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	123	31	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	123	32	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	123	33	Simonyan	Simonyan	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	123	34	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	123	35	Zisserman	Zisserman	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	123	36	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	123	37	2014	2014	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	123	38	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	123	39	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	123	40	have	have	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	123	41	proved	prove	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	42	effective	effective	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	123	43	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	44	other	other	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	123	45	applications	application	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	123	46	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	123	47	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	48	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	123	49	disadvantage	disadvantage	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	50	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	51	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	123	52	cost	cost	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	53	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	54	memory	memory	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	55	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	123	56	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	123	57	implies	imply	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	123	58	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	59	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	123	60	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	123	61	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	123	62	not	not	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	123	63	optimized	optimize	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	64	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	65	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	123	66	particular	particular	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	123	67	problem	problem	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	68	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	123	69	some	some	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	123	70	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	123	71	these	these	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	123	72	parameters	parameter	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	123	73	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	123	74	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	123	75	redundant	redundant	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	123	76	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	123	77	Alvarez	Alvarez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	123	78	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	123	79	Salzmann	Salzmann	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	123	80	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	123	81	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	123	82	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	123	83	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	124	1	Neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	124	2	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	124	3	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	124	4	An	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	124	5	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	124	6	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	124	7	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	124	8	composed	compose	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	124	9	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	124	10	four	four	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	124	11	mainly	mainly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	124	12	concepts	concept	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	124	13	described	describe	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	124	14	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	124	15	detail	detail	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	124	16	below	below	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	124	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	125	1	Type	type	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	125	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	125	3	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	125	4	When	when	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	125	5	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	125	6	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	125	7	Keras	Keras	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	125	8	interface	interface	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	125	9	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	125	10	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	125	11	implementation	implementation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	125	12	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	125	13	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	125	14	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	125	15	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	125	16	Python	Python	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	125	17	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	125	18	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	125	19	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	125	20	necessary	necessary	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	125	21	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	125	22	specify	specify	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	125	23	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	125	24	type	type	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	125	25	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	125	26	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	125	27	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	125	28	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	125	29	created	create	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	125	30	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	126	1	There	there	EX
work_egt7fmczgjgbpjnjxzpgy5npoy	126	2	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	126	3	two	two	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	126	4	ways	way	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	126	5	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	126	6	define	define	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	126	7	Keras	Keras	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	126	8	models	model	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	126	9	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	126	10	Sequential	Sequential	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	126	11	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	126	12	Functional	Functional	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	126	13	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	126	14	Ketkar	Ketkar	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	126	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	126	16	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	126	17	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	126	18	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	127	1	A	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	127	2	sequential	sequential	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	127	3	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	127	4	refers	refer	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	127	5	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	127	6	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	127	7	fact	fact	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	127	8	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	127	9	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	127	10	output	output	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	127	11	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	127	12	each	each	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	127	13	layer	layer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	127	14	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	127	15	taken	take	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	127	16	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	127	17	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	127	18	input	input	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	127	19	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	127	20	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	127	21	next	next	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	127	22	layer	layer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	127	23	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	127	24	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	127	25	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	127	26	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	127	27	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	127	28	type	type	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	127	29	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	127	30	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	127	31	developed	develop	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	127	32	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	127	33	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	127	34	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	127	35	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	128	1	Activation	activation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	128	2	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	128	3	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	128	4	activation	activation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	128	5	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	128	6	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	128	7	responsible	responsible	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	128	8	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	128	9	returning	return	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	128	10	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	128	11	output	output	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	128	12	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	128	13	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	128	14	input	input	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	128	15	value	value	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	128	16	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	128	17	usually	usually	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	128	18	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	128	19	set	set	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	128	20	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	128	21	output	output	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	128	22	values	value	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	128	23	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	128	24	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	128	25	given	give	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	128	26	range	range	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	128	27	such	such	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	128	28	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	128	29	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	128	30	0	0	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	128	31	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	128	32	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	128	33	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	128	34	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	128	35	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	128	36	−1	−1	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	128	37	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	128	38	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	128	39	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	128	40	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	129	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	129	2	types	type	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	129	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	129	4	activation	activation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	129	5	functions	function	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	129	6	most	most	RBS
work_egt7fmczgjgbpjnjxzpgy5npoy	129	7	commonly	commonly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	129	8	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	129	9	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	129	10	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	129	11	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	129	12	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	129	13	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	129	14	Sigmoid	sigmoid	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	129	15	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	129	16	This	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	129	17	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	129	18	transforms	transform	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	129	19	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	129	20	values	value	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	129	21	entered	enter	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	129	22	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	129	23	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	129	24	scale	scale	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	129	25	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	129	26	0	0	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	129	27	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	129	28	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	129	29	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	129	30	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	129	31	where	where	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	129	32	high	high	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	129	33	values	value	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	129	34	tend	tend	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	129	35	asymptotically	asymptotically	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	129	36	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	129	37	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	129	38	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	129	39	very	very	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	129	40	low	low	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	129	41	values	value	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	129	42	tend	tend	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	129	43	asymptotically	asymptotically	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	129	44	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	129	45	0	0	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	129	46	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	129	47	Karlik	Karlik	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	129	48	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	129	49	Olgac	Olgac	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	129	50	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	129	51	2011	2011	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	129	52	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	129	53	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	129	54	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	129	55	shown	show	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	129	56	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	129	57	Eq	Eq	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	129	58	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	130	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	130	2	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	130	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	130	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	131	1	f	f	LS
work_egt7fmczgjgbpjnjxzpgy5npoy	131	2	ðxÞ	ðxÞ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	131	3	¼	¼	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	131	4	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	131	5	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	131	6	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	131	7	e	e	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	131	8	�	�	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	131	9	x	x	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	131	10	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	131	11	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	131	12	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	131	13	�	�	.
work_egt7fmczgjgbpjnjxzpgy5npoy	131	14	ReLU	relu	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	131	15	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	131	16	Rectified	rectified	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	131	17	Linear	Linear	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	131	18	Unit	Unit	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	131	19	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	131	20	This	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	131	21	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	131	22	transforms	transform	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	131	23	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	131	24	entered	enter	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	131	25	values	value	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	131	26	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	131	27	canceling	cancel	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	131	28	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	131	29	negative	negative	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	131	30	values	value	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	131	31	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	131	32	leaving	leave	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	131	33	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	131	34	positive	positive	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	131	35	ones	one	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	131	36	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	131	37	they	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	131	38	enter	enter	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	131	39	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	131	40	Yarotsky	Yarotsky	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	131	41	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	131	42	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	131	43	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	131	44	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	131	45	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	131	46	shown	show	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	131	47	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	131	48	Eq	Eq	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	131	49	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	132	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	132	2	2	2	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	132	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	132	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	133	1	f	f	LS
work_egt7fmczgjgbpjnjxzpgy5npoy	133	2	ðxÞ	ðxÞ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	133	3	¼	¼	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	133	4	maxð0	maxð0	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	133	5	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	133	6	xÞ	xÞ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	133	7	¼	¼	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	133	8	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	133	9	0	0	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	133	10	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	133	11	x	x	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	133	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	133	13	0	0	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	133	14	x	x	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	133	15	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	133	16	x	x	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	133	17	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	133	18	0	0	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	133	19	�	�	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	133	20	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	133	21	2	2	LS
work_egt7fmczgjgbpjnjxzpgy5npoy	133	22	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	133	23	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	133	24	Softmax	Softmax	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	133	25	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	133	26	This	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	133	27	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	133	28	transforms	transform	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	133	29	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	133	30	outputs	output	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	133	31	into	into	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	133	32	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	133	33	representation	representation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	133	34	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	133	35	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	133	36	form	form	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	133	37	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	133	38	probabilities	probability	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	133	39	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	133	40	such	such	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	133	41	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	133	42	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	133	43	sum	sum	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	133	44	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	133	45	all	all	PDT
work_egt7fmczgjgbpjnjxzpgy5npoy	133	46	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	133	47	probabilities	probability	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	133	48	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	133	49	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	133	50	outputs	output	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	133	51	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	133	52	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	133	53	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	134	1	It	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	134	2	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	134	3	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	134	4	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	134	5	normalize	normalize	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	134	6	multiclass	multiclass	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	134	7	type	type	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	134	8	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	134	9	Liu	Liu	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	134	10	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	134	11	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	134	12	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	134	13	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	134	14	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	134	15	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	134	16	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	134	17	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	134	18	shown	show	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	134	19	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	134	20	Eq	Eq	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	134	21	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	135	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	135	2	3	3	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	135	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	135	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	136	1	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	136	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	136	3	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	136	4	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	136	5	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	136	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	137	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	137	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	137	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	137	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	137	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	137	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	137	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	138	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	138	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	138	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	138	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	138	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	138	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	138	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	138	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	138	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	138	10	8/22	8/22	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	138	11	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	138	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	138	13	f	f	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	138	14	ðzÞj	ðzÞj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	138	15	¼	¼	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	16	ezjPk	ezjPk	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	138	17	k¼1	k¼1	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	138	18	e	e	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	138	19	zk	zk	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	138	20	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	138	21	3	3	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	138	22	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	138	23	Optimization	optimization	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	24	algorithm	algorithm	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	25	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	138	26	goal	goal	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	27	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	28	optimization	optimization	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	29	algorithms	algorithm	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	138	30	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	138	31	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	138	32	minimize	minimize	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	138	33	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	138	34	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	138	35	maximize	maximize	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	138	36	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	138	37	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	138	38	objective	objective	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	39	E(x	e(x	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	138	40	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	138	41	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	42	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	138	43	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	138	44	simply	simply	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	138	45	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	138	46	mathematical	mathematical	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	138	47	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	48	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	138	49	depends	depend	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	138	50	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	51	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	138	52	internal	internal	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	138	53	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	54	parameters	parameter	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	138	55	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	56	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	138	57	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	58	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	138	59	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	138	60	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	61	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	138	62	calculate	calculate	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	138	63	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	138	64	objective	objective	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	65	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	138	66	Y	y	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	67	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	138	68	values	value	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	138	69	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	70	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	138	71	set	set	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	72	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	73	predictors	predictor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	138	74	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	138	75	X	x	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	76	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	138	77	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	78	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	79	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	138	80	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	138	81	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	139	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	139	2	most	most	RBS
work_egt7fmczgjgbpjnjxzpgy5npoy	139	3	commonly	commonly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	139	4	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	139	5	optimization	optimization	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	139	6	algorithms	algorithm	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	139	7	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	139	8	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	139	9	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	139	10	Gradient	Gradient	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	139	11	Descent	Descent	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	139	12	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	139	13	Adam	Adam	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	139	14	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	139	15	Ruder	Ruder	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	139	16	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	139	17	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	139	18	;	;	:
work_egt7fmczgjgbpjnjxzpgy5npoy	139	19	Kingma	Kingma	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	139	20	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	139	21	Ba	Ba	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	139	22	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	139	23	2014	2014	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	139	24	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	139	25	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	140	1	Loss	loss	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	140	2	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	140	3	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	140	4	loss	loss	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	140	5	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	140	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	140	7	also	also	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	140	8	known	know	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	140	9	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	140	10	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	140	11	cost	cost	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	140	12	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	140	13	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	140	14	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	140	15	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	140	16	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	140	17	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	140	18	indicates	indicate	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	140	19	how	how	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	140	20	good	good	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	140	21	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	140	22	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	140	23	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	140	24	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	141	1	A	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	141	2	high	high	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	141	3	result	result	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	141	4	indicates	indicate	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	141	5	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	141	6	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	141	7	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	141	8	has	have	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	141	9	poor	poor	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	141	10	performance	performance	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	141	11	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	141	12	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	141	13	low	low	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	141	14	result	result	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	141	15	indicates	indicate	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	141	16	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	141	17	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	141	18	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	141	19	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	141	20	performing	perform	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	141	21	positively	positively	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	141	22	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	142	1	This	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	142	2	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	142	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	142	4	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	142	5	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	142	6	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	142	7	optimized	optimize	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	142	8	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	142	9	minimized	minimize	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	142	10	when	when	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	142	11	back	back	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	142	12	propagation	propagation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	142	13	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	142	14	performed	perform	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	142	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	143	1	There	there	EX
work_egt7fmczgjgbpjnjxzpgy5npoy	143	2	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	143	3	several	several	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	143	4	mathematical	mathematical	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	143	5	functions	function	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	143	6	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	143	7	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	143	8	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	143	9	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	143	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	143	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	143	12	choice	choice	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	143	13	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	143	14	one	one	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	143	15	depends	depend	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	143	16	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	143	17	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	143	18	problem	problem	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	143	19	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	143	20	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	143	21	being	be	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	143	22	solved	solve	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	143	23	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	144	1	Some	some	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	144	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	144	3	these	these	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	144	4	functions	function	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	144	5	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	144	6	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	144	7	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	144	8	Cross	Cross	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	144	9	-	-	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	144	10	Entropy	Entropy	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	144	11	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	144	12	Cross	cross	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	144	13	-	-	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	144	14	entropy	entropy	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	144	15	loss	loss	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	144	16	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	144	17	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	144	18	log	log	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	144	19	loss	loss	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	144	20	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	144	21	measures	measure	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	144	22	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	144	23	performance	performance	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	144	24	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	144	25	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	144	26	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	144	27	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	144	28	whose	whose	WP$
work_egt7fmczgjgbpjnjxzpgy5npoy	144	29	output	output	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	144	30	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	144	31	y	y	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	144	32	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	144	33	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	144	34	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	144	35	probability	probability	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	144	36	value	value	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	144	37	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	144	38	p	p	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	144	39	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	144	40	between	between	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	144	41	0	0	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	144	42	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	144	43	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	144	44	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	144	45	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	144	46	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	144	47	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	144	48	calculated	calculate	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	144	49	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	144	50	Eq	Eq	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	144	51	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	145	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	145	2	4	4	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	145	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	145	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	146	1	Cross	cross	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	146	2	-	-	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	146	3	entropy	entropy	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	146	4	loss	loss	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	146	5	increases	increase	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	146	6	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	146	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	146	8	predicted	predict	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	146	9	probability	probability	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	146	10	diverges	diverge	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	146	11	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	146	12	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	146	13	actual	actual	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	146	14	label	label	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	146	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	147	1	This	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	147	2	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	147	3	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	147	4	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	147	5	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	147	6	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	147	7	problems	problem	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	147	8	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	147	9	Rubinstein	Rubinstein	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	147	10	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	147	11	Kroese	Kroese	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	147	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	147	13	2013	2013	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	147	14	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	147	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	148	1	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	148	2	ðy	ðy	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	148	3	logðpÞ	logðpÞ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	148	4	þ	þ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	148	5	ð1	ð1	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	148	6	�	�	.
work_egt7fmczgjgbpjnjxzpgy5npoy	148	7	yÞ	yþ	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	148	8	logð1	logð1	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	148	9	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	148	10	pÞÞ	pÞÞ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	148	11	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	148	12	4	4	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	148	13	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	148	14	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	148	15	Categorical	Categorical	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	148	16	Cross	Cross	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	148	17	-	-	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	148	18	Entropy	Entropy	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	148	19	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	148	20	Also	also	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	148	21	called	call	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	148	22	Softmax	Softmax	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	148	23	Loss	Loss	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	148	24	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	148	25	Koidl	Koidl	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	148	26	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	148	27	2013	2013	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	148	28	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	148	29	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	149	1	It	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	149	2	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	149	3	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	149	4	Softmax	Softmax	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	149	5	activation	activation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	149	6	plus	plus	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	149	7	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	149	8	Cross	cross	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	149	9	-	-	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	149	10	Entropy	entropy	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	149	11	loss	loss	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	149	12	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	149	13	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	149	14	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	149	15	calculated	calculate	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	149	16	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	149	17	Eq	Eq	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	149	18	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	150	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	150	2	5	5	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	150	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	150	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	150	5	where	where	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	150	6	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	150	7	double	double	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	150	8	sum	sum	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	150	9	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	150	10	over	over	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	150	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	150	12	observations	observation	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	150	13	i	i	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	150	14	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	150	15	whose	whose	WP$
work_egt7fmczgjgbpjnjxzpgy5npoy	150	16	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	150	17	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	150	18	N	n	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	150	19	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	150	20	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	150	21	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	150	22	categories	category	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	150	23	c	c	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	150	24	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	150	25	whose	whose	WP$
work_egt7fmczgjgbpjnjxzpgy5npoy	150	26	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	150	27	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	150	28	C.	C.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	150	29	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	150	30	term	term	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	150	31	1yi	1yi	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	150	32	∈	∈	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	150	33	Cc	Cc	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	150	34	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	150	35	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	150	36	indicator	indicator	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	150	37	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	150	38	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	150	39	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	150	40	ith	ith	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	150	41	observation	observation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	150	42	belonging	belong	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	150	43	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	150	44	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	150	45	cth	cth	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	150	46	category	category	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	150	47	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	151	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	151	2	pmodel[yi	pmodel[yi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	151	3	∈	∈	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	151	4	Cc	Cc	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	151	5	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	151	6	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	151	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	151	8	probability	probability	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	151	9	predicted	predict	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	151	10	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	151	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	151	12	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	151	13	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	151	14	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	151	15	ith	ith	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	151	16	observation	observation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	151	17	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	151	18	belong	belong	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	151	19	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	151	20	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	151	21	cth	cth	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	151	22	category	category	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	151	23	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	152	1	When	when	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	152	2	there	there	EX
work_egt7fmczgjgbpjnjxzpgy5npoy	152	3	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	152	4	more	more	JJR
work_egt7fmczgjgbpjnjxzpgy5npoy	152	5	than	than	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	152	6	two	two	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	152	7	categories	category	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	152	8	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	152	9	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	152	10	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	152	11	outputs	output	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	152	12	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	152	13	vector	vector	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	152	14	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	152	15	C	c	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	152	16	probabilities	probability	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	152	17	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	152	18	each	each	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	152	19	giving	give	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	152	20	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	152	21	probability	probability	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	152	22	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	152	23	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	152	24	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	152	25	input	input	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	152	26	should	should	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	152	27	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	152	28	classified	classify	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	152	29	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	152	30	belonging	belong	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	152	31	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	152	32	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	152	33	respective	respective	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	152	34	category	category	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	152	35	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	153	1	When	when	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	153	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	153	3	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	153	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	153	5	categories	category	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	153	6	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	153	7	just	just	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	153	8	two	two	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	153	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	153	10	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	153	11	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	153	12	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	153	13	outputs	output	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	153	14	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	153	15	single	single	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	153	16	probability	probability	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	153	17	ŷi	ŷi	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	153	18	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	153	19	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	153	20	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	153	21	other	other	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	153	22	one	one	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	153	23	being	be	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	153	24	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	153	25	minus	minus	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	153	26	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	153	27	output	output	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	153	28	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	154	1	This	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	154	2	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	154	3	why	why	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	154	4	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	154	5	binary	binary	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	154	6	cross	cross	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	154	7	entropy	entropy	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	154	8	looks	look	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	154	9	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	154	10	bit	bit	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	154	11	different	different	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	154	12	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	154	13	categorical	categorical	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	154	14	cross	cross	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	154	15	entropy	entropy	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	154	16	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	154	17	despite	despite	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	154	18	being	be	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	154	19	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	154	20	special	special	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	154	21	case	case	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	154	22	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	154	23	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	154	24	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	155	1	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	155	2	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	155	3	N	n	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	155	4	XN	XN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	155	5	i¼1	i¼1	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	155	6	XC	XC	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	155	7	c¼1	c¼1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	155	8	1yi2Cc	1yi2cc	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	155	9	log	log	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	155	10	pmodel	pmodel	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	155	11	yi	yi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	155	12	2	2	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	155	13	Cc½	cc½	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	155	14	�	�	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	155	15	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	155	16	5	5	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	155	17	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	155	18	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	155	19	Mean	Mean	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	155	20	Squared	Squared	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	155	21	Error	Error	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	155	22	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	155	23	Mean	Mean	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	155	24	Square	Square	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	155	25	Error	Error	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	155	26	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	155	27	MSE	MSE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	155	28	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	155	29	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	155	30	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	155	31	most	most	RBS
work_egt7fmczgjgbpjnjxzpgy5npoy	155	32	commonly	commonly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	155	33	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	155	34	regression	regression	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	155	35	loss	loss	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	155	36	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	155	37	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	155	38	Christoffersen	Christoffersen	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	155	39	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	155	40	Jacobs	Jacobs	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	155	41	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	155	42	2004	2004	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	155	43	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	155	44	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	156	1	MSE	MSE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	156	2	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	156	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	156	4	sum	sum	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	156	5	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	156	6	squared	square	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	156	7	distances	distance	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	156	8	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	156	9	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	156	10	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	156	11	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	156	12	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	156	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	157	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	157	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	157	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	157	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	157	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	157	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	157	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	158	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	158	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	158	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	158	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	158	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	158	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	158	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	158	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	158	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	158	10	9/22	9/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	158	11	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	158	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	ADD
work_egt7fmczgjgbpjnjxzpgy5npoy	158	13	between	between	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	158	14	our	-PRON-	PRP$
work_egt7fmczgjgbpjnjxzpgy5npoy	158	15	target	target	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	158	16	variable	variable	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	158	17	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	158	18	predicted	predict	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	158	19	values	value	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	158	20	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	158	21	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	158	22	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	158	23	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	158	24	calculated	calculate	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	158	25	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	158	26	Eq	Eq	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	158	27	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	159	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	159	2	6	6	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	159	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	159	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	159	5	where	where	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	159	6	n	n	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	159	7	represents	represent	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	159	8	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	159	9	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	159	10	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	159	11	samples	sample	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	159	12	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	159	13	ŷi	ŷi	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	159	14	represents	represent	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	159	15	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	159	16	predicted	predict	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	159	17	value	value	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	159	18	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	160	1	MSE	MSE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	160	2	¼	¼	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	160	3	Pn	Pn	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	160	4	i¼1	i¼1	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	160	5	ðyi	ðyi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	160	6	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	160	7	ŷiÞ2	ŷiþ2	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	160	8	n	n	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	160	9	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	160	10	6	6	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	160	11	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	160	12	EXPERIMENTS	experiment	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	160	13	AND	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	160	14	RESULTS	results	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	160	15	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	160	16	dataset	dataset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	160	17	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	160	18	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	160	19	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	160	20	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	160	21	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	160	22	contained	contain	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	160	23	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	160	24	2,672	2,672	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	160	25	10-s	10-s	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	160	26	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	160	27	samples	sample	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	160	28	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	160	29	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	160	30	34	34	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	160	31	extracted	extract	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	160	32	features	feature	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	160	33	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	160	34	each	each	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	160	35	sample	sample	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	160	36	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	161	1	Two	two	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	161	2	validation	validation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	161	3	approaches	approach	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	161	4	were	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	161	5	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	161	6	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	161	7	70–30	70–30	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	161	8	split	split	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	161	9	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	161	10	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	161	11	k	k	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	161	12	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	161	13	fold	fold	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	161	14	cross	cross	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	161	15	validation	validation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	161	16	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	162	1	For	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	162	3	70–30	70–30	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	162	4	split	split	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	5	approach	approach	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	162	7	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	162	8	training	training	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	9	subset	subset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	10	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	162	11	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	162	12	testing	testing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	13	subset	subset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	14	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	162	15	randomly	randomly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	162	16	selected	select	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	17	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	162	18	contained	contain	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	19	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	20	70	70	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	162	21	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	22	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	162	23	30	30	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	162	24	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	25	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	26	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	162	27	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	162	28	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	162	29	respectively	respectively	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	162	30	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	162	31	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	162	32	approach	approach	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	33	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	34	70	70	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	162	35	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	36	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	37	training	training	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	38	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	162	39	30	30	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	162	40	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	41	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	42	testing	testing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	43	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	162	44	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	45	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	46	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	162	47	area	area	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	48	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	49	valid	valid	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	162	50	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	162	51	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	52	proposed	propose	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	53	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	162	54	Balli	Balli	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	162	55	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	162	56	Sağbaș	Sağbaș	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	162	57	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	162	58	Peker	Peker	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	162	59	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	162	60	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	162	61	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	162	62	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	162	63	Taylor	Taylor	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	162	64	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	162	65	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	162	66	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	163	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	163	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	163	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	163	4	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	163	5	Sousa	Sousa	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	163	6	Lima	Lima	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	163	7	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	163	8	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	163	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	164	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	164	2	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	164	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	164	4	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	164	5	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	165	1	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	165	2	4	4	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	165	3	shows	show	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	165	4	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	165	5	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	165	6	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	165	7	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	165	8	samples	sample	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	165	9	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	165	10	each	each	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	165	11	subset	subset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	165	12	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	165	13	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	165	14	case	case	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	165	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	166	1	For	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	166	3	k	k	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	4	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	166	5	fold	fold	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	166	6	cross	cross	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	7	-	-	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	8	validation	validation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	166	10	k	k	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	166	11	=	=	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	166	12	10	10	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	166	13	was	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	166	14	selected	select	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	166	16	since	since	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	17	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	166	18	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	166	19	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	166	20	approach	approach	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	21	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	22	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	23	works	work	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	166	24	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	25	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	166	26	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	27	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	28	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	166	29	estimate	estimate	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	166	30	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	166	31	average	average	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	166	32	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	33	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	166	34	evaluate	evaluate	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	166	35	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	166	36	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	37	performance	performance	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	38	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	166	39	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	40	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	41	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	166	42	works	work	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	166	43	presented	present	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	44	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	166	45	Altun	Altun	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	166	46	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	166	47	Barshan	Barshan	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	166	48	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	166	49	2010	2010	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	166	50	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	166	51	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	166	52	Dehghani	Dehghani	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	166	53	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	166	54	Glatard	Glatard	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	166	55	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	166	56	Shihab	Shihab	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	166	57	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	166	58	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	166	59	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	166	60	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	166	61	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	166	62	Jordao	Jordao	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	166	63	et	et	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	166	64	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	166	65	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	167	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	167	2	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	167	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	167	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	168	1	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	168	2	5	5	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	168	3	shows	show	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	168	4	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	168	5	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	168	6	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	168	7	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	168	8	samples	sample	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	168	9	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	168	10	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	168	11	training	training	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	168	12	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	168	13	test	test	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	168	14	subsets	subset	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	168	15	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	168	16	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	168	17	10-fold	10-fold	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	168	18	cross	cross	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	168	19	-	-	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	168	20	validation	validation	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	168	21	approach	approach	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	168	22	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	169	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	169	2	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	169	3	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	169	4	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	169	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	169	6	most	most	RBS
work_egt7fmczgjgbpjnjxzpgy5npoy	169	7	important	important	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	169	8	aspect	aspect	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	169	9	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	169	10	define	define	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	169	11	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	169	12	since	since	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	169	13	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	169	14	directly	directly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	169	15	impacts	impact	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	169	16	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	169	17	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	169	18	achieved	achieve	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	169	19	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	169	20	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	169	21	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	169	22	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	170	1	As	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	170	2	mentioned	mention	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	170	3	earlier	early	RBR
work_egt7fmczgjgbpjnjxzpgy5npoy	170	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	170	5	there	there	EX
work_egt7fmczgjgbpjnjxzpgy5npoy	170	6	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	170	7	no	no	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	170	8	rules	rule	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	170	9	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	170	10	choose	choose	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	170	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	170	12	parameters	parameter	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	170	13	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	170	14	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	170	15	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	170	16	since	since	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	170	17	these	these	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	170	18	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	170	19	conditioned	condition	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	170	20	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	170	21	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	170	22	type	type	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	170	23	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	170	24	application	application	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	170	25	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	170	26	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	170	27	given	give	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	170	28	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	170	29	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	170	30	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	170	31	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	170	32	they	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	170	33	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	170	34	determined	determine	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	170	35	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	170	36	trial	trial	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	170	37	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	170	38	error	error	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	170	39	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	171	1	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	171	2	6	6	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	171	3	shows	show	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	171	4	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	171	5	proposed	propose	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	171	6	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	171	7	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	171	8	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	171	9	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	171	10	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	171	11	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	171	12	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	171	13	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	171	14	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	171	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	172	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	172	2	selected	select	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	3	parameters	parameter	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	172	4	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	172	6	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	172	7	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	8	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	172	9	as	as	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	172	10	well	well	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	172	11	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	12	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	172	13	characteristics	characteristic	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	172	14	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	15	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	172	16	dataset	dataset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	17	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	172	18	classes	class	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	172	19	balanced	balance	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	20	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	21	quantity	quantity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	22	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	172	23	proportion	proportion	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	24	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	25	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	172	26	size	size	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	27	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	28	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	172	29	testing	testing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	30	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	172	31	training	training	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	32	subsets	subset	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	172	33	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	172	34	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	35	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	36	features	feature	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	172	37	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	172	38	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	172	39	ensure	ensure	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	172	40	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	41	no	no	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	172	42	overfitting	overfitting	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	43	appears	appear	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	172	44	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	45	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	172	46	generated	generate	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	47	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	48	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	172	49	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	50	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	51	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	172	52	obtained	obtain	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	53	results	result	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	172	54	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	172	55	so	so	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	172	56	no	no	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	172	57	dropout	dropout	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	58	layers	layer	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	172	59	were	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	172	60	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	172	61	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	173	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	173	2	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	173	3	7	7	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	173	4	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	173	5	selected	select	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	173	6	parameters	parameter	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	173	7	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	173	8	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	173	9	development	development	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	173	10	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	173	11	implementation	implementation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	173	12	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	173	13	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	173	14	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	173	15	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	173	16	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	173	17	Keras	Keras	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	173	18	interface	interface	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	173	19	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	173	20	Python	Python	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	173	21	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	173	22	presented	present	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	173	23	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	174	1	For	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	174	3	choice	choice	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	174	6	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	7	parameters	parameter	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	174	8	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	9	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	174	10	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	11	implementation	implementation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	174	13	those	those	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	174	14	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	174	15	best	well	RBS
work_egt7fmczgjgbpjnjxzpgy5npoy	174	16	adapt	adapt	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	174	17	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	18	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	174	19	type	type	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	20	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	21	problem	problem	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	22	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	23	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	174	24	they	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	174	25	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	174	26	being	be	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	174	27	applied	apply	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	28	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	174	29	multiclass	multiclass	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	30	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	31	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	174	32	were	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	174	33	taken	take	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	34	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	174	35	some	some	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	174	36	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	37	them	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	174	38	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	174	39	present	present	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	174	40	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	41	default	default	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	42	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	43	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	174	44	keras	keras	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	174	45	interface	interface	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	46	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	174	47	considering	consider	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	174	48	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	49	they	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	174	50	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	174	51	generally	generally	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	174	52	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	174	53	ones	one	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	174	54	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	174	55	achieve	achieve	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	174	56	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	174	57	best	good	JJS
work_egt7fmczgjgbpjnjxzpgy5npoy	174	58	performing	performing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	59	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	174	60	e.g.	e.g.	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	174	61	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	174	62	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	174	63	ReLU	relu	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	64	activation	activation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	65	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	66	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	174	67	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	174	68	most	most	RBS
work_egt7fmczgjgbpjnjxzpgy5npoy	174	69	successful	successful	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	174	70	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	174	71	widely	widely	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	174	72	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	73	activation	activation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	74	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	174	75	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	174	76	Ramachandran	Ramachandran	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	174	77	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	174	78	Zoph	Zoph	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	174	79	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	174	80	Le	Le	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	174	81	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	174	82	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	174	83	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	174	84	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	174	85	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	175	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	175	2	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	175	3	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	175	4	created	create	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	175	5	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	175	6	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	175	7	described	describe	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	175	8	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	175	9	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	175	10	parameters	parameter	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	175	11	was	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	175	12	implemented	implement	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	175	13	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	175	14	executed	execute	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	175	15	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	175	16	validated	validate	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	175	17	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	175	18	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	175	19	Python	Python	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	175	20	programming	programming	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	175	21	language	language	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	175	22	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	176	1	As	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	176	2	mentioned	mention	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	176	3	above	above	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	176	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	176	5	two	two	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	176	6	validation	validation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	176	7	approaches	approach	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	176	8	were	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	176	9	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	176	10	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	176	11	evaluate	evaluate	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	176	12	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	176	13	performance	performance	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	176	14	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	176	15	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	176	16	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	176	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	177	1	For	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	177	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	177	3	70–30	70–30	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	177	4	split	split	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	177	5	approach	approach	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	177	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	177	7	Fig	Fig	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	177	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	178	1	3	3	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	178	2	shows	show	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	178	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	178	4	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	178	5	achieved	achieve	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	178	6	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	178	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	178	8	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	178	9	over	over	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	178	10	epochs	epoch	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	178	11	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	178	12	where	where	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	178	13	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	178	14	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	178	15	observed	observe	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	178	16	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	178	17	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	178	18	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	178	19	achieved	achieve	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	178	20	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	178	21	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	178	22	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	178	23	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	178	24	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	178	25	’s	’s	POS
work_egt7fmczgjgbpjnjxzpgy5npoy	178	26	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	178	27	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	178	28	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	178	29	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	178	30	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	178	31	0.9979	0.9979	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	178	32	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	178	33	training	train	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	178	34	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	178	35	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	178	36	0.9451	0.9451	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	178	37	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	178	38	testing	testing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	178	39	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	178	40	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	179	1	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	179	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	179	3	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	179	4	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	179	5	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	179	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	180	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	180	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	180	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	180	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	180	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	180	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	180	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	181	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	181	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	181	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	181	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	181	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	181	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	181	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	181	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	181	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	181	10	10/22	10/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	181	11	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	181	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	ADD
work_egt7fmczgjgbpjnjxzpgy5npoy	181	13	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	181	14	Fig	Fig	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	181	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	182	1	3	3	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	182	2	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	182	3	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	182	4	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	182	5	observed	observe	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	6	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	182	8	curves	curve	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	182	9	representing	represent	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	182	10	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	182	11	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	12	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	13	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	182	14	training	training	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	15	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	182	16	testing	testing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	17	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	18	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	182	19	periodically	periodically	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	182	20	spikes	spike	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	182	21	down	down	RP
work_egt7fmczgjgbpjnjxzpgy5npoy	182	22	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	182	23	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	182	24	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	182	25	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	182	26	consequence	consequence	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	27	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	28	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	182	29	training	training	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	30	process	process	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	31	being	be	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	182	32	stuck	stick	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	33	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	34	local	local	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	182	35	regions	region	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	182	36	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	182	37	due	due	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	38	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	39	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	182	40	optimization	optimization	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	41	parameters	parameter	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	182	42	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	43	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	182	44	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	182	45	Adam	Adam	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	182	46	Table	Table	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	182	47	4	4	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	182	48	Size	size	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	49	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	50	training	training	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	51	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	182	52	test	test	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	53	data	data	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	54	sets	set	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	182	55	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	56	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	182	57	70–30	70–30	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	182	58	validation	validation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	59	approach	approach	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	182	60	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	183	1	Total	total	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	183	2	samples	sample	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	183	3	Training	Training	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	183	4	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	183	5	samples	sample	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	183	6	Test	Test	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	183	7	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	183	8	samples	sample	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	183	9	2,672	2,672	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	183	10	1,870	1,870	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	183	11	802	802	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	183	12	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	183	13	5	5	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	183	14	Size	size	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	183	15	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	183	16	training	training	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	183	17	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	183	18	test	test	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	183	19	data	data	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	183	20	sets	set	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	183	21	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	183	22	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	183	23	10-fold	10-fold	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	183	24	cross	cross	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	183	25	-	-	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	183	26	validation	validation	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	183	27	approach	approach	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	183	28	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	184	1	Total	total	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	184	2	samples	sample	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	184	3	Training	Training	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	184	4	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	184	5	samples	sample	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	184	6	Test	Test	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	184	7	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	184	8	samples	sample	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	184	9	2,672	2,672	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	184	10	2,404	2,404	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	184	11	268	268	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	184	12	Table	Table	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	184	13	6	6	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	184	14	Proposed	propose	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	184	15	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	184	16	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	184	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	185	1	Inputs	Inputs	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	185	2	Hidden	hide	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	185	3	layers	layer	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	185	4	Neurons	neuron	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	185	5	per	per	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	185	6	layer	layer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	185	7	Outputs	Outputs	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	185	8	Batch	Batch	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	185	9	size	size	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	185	10	Epochs	Epochs	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	185	11	34	34	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	185	12	8	8	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	185	13	20	20	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	185	14	4	4	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	185	15	64	64	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	185	16	200	200	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	185	17	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	185	18	7	7	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	185	19	Selected	select	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	185	20	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	185	21	parameters	parameter	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	185	22	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	186	1	Type	type	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	3	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	4	Sequential	Sequential	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	186	5	Input	Input	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	186	6	layer	layer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	7	activation	activation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	8	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	9	Relu	Relu	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	186	10	Hidden	Hidden	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	186	11	layers	layer	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	186	12	activation	activation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	13	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	14	Relu	Relu	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	186	15	Output	Output	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	186	16	layer	layer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	17	activation	activation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	18	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	19	Softmax	Softmax	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	186	20	Loss	Loss	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	186	21	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	22	Categorical	Categorical	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	186	23	crossentropy	crossentropy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	24	Optimization	Optimization	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	186	25	algorithm	algorithm	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	26	Adam	Adam	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	186	27	Figure	Figure	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	186	28	3	3	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	186	29	Accuracy	Accuracy	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	186	30	behavior	behavior	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	31	during	during	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	32	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	186	33	training	training	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	34	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	186	35	testing	testing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	36	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	37	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	186	38	70–30	70–30	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	186	39	split	split	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	40	approach	approach	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	186	41	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	187	1	Full	full	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	187	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	187	3	size	size	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	187	4	DOI	doi	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	187	5	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	187	6	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	187	7	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	187	8	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	187	9	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	187	10	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	187	11	/	/	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	187	12	fig-3	fig-3	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	187	13	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	187	14	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	187	15	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	187	16	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	187	17	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	187	18	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	188	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	188	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	188	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	188	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	188	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	188	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	188	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	189	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	189	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	189	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	189	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	189	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	189	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	189	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	189	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	189	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	189	10	11/22	11/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	189	11	http://dx.doi.org/10.7717/peerj-cs.308/fig-3	http://dx.doi.org/10.7717/peerj-cs.308/fig-3	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	189	12	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	189	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	189	14	optimization	optimization	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	189	15	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	189	16	was	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	189	17	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	189	18	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	189	19	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	189	20	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	189	21	default	default	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	189	22	parameters	parameter	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	189	23	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	189	24	Keras	Keras	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	189	25	Team	Team	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	189	26	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	189	27	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	189	28	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	189	29	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	190	1	Figure	figure	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	190	2	4	4	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	190	3	shows	show	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	190	4	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	190	5	loss	loss	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	190	6	presented	present	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	190	7	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	190	8	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	190	9	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	190	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	190	11	where	where	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	190	12	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	190	13	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	190	14	observed	observe	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	190	15	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	190	16	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	190	17	loss	loss	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	190	18	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	190	19	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	190	20	training	training	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	190	21	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	190	22	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	190	23	0.0018	0.0018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	190	24	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	190	25	while	while	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	190	26	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	190	27	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	190	28	testing	testing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	190	29	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	190	30	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	190	31	0.4070	0.4070	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	190	32	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	190	33	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	190	34	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	190	35	related	relate	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	190	36	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	190	37	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	190	38	general	general	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	190	39	evaluation	evaluation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	190	40	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	190	41	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	190	42	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	190	43	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	190	44	indicates	indicate	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	190	45	how	how	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	190	46	good	good	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	190	47	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	190	48	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	190	49	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	190	50	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	190	51	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	190	52	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	191	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	191	2	Fig	Fig	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	191	3	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	192	1	4	4	LS
work_egt7fmczgjgbpjnjxzpgy5npoy	192	2	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	192	3	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	192	4	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	192	5	observed	observe	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	6	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	192	8	curves	curve	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	192	9	representing	represent	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	192	10	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	192	11	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	12	loss	loss	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	13	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	192	14	training	training	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	15	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	192	16	testing	testing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	17	loss	loss	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	18	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	192	19	present	present	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	192	20	irregular	irregular	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	192	21	spikes	spike	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	192	22	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	192	23	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	192	24	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	192	25	due	due	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	192	26	properly	properly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	192	27	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	28	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	192	29	shape	shape	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	30	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	31	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	192	32	analyzed	analyze	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	33	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	192	34	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	192	35	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	192	36	parameters	parameter	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	192	37	chosen	choose	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	38	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	39	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	192	40	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	41	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	42	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	192	43	specifically	specifically	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	192	44	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	192	45	Adam	Adam	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	192	46	optimization	optimization	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	47	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	48	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	192	49	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	50	mentioned	mention	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	192	51	above	above	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	192	52	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	193	1	From	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	193	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	193	3	results	result	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	193	4	obtained	obtain	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	193	5	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	193	6	executing	execute	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	193	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	193	8	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	193	9	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	193	10	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	193	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	193	12	70–30	70–30	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	193	13	split	split	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	193	14	approach	approach	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	193	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	193	16	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	193	17	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	193	18	also	also	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	193	19	possible	possible	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	193	20	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	193	21	analyze	analyze	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	193	22	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	193	23	behavior	behavior	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	193	24	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	193	25	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	193	26	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	193	27	specifically	specifically	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	193	28	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	193	29	each	each	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	193	30	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	193	31	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	193	32	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	193	33	analyzed	analyze	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	193	34	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	193	35	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	193	36	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	193	37	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	194	1	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	194	2	8	8	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	194	3	shows	show	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	194	4	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	194	5	confusion	confusion	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	194	6	matrix	matrix	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	194	7	generated	generate	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	194	8	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	194	9	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	194	10	execution	execution	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	194	11	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	194	12	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	194	13	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	194	14	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	194	15	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	194	16	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	194	17	testing	testing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	194	18	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	194	19	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	195	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	195	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	195	3	confusion	confusion	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	195	4	matrix	matrix	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	195	5	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	195	6	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	195	7	possible	possible	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	195	8	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	195	9	observe	observe	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	195	10	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	195	11	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	195	12	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	195	13	correctly	correctly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	195	14	classified	classify	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	195	15	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	195	16	samples	sample	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	195	17	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	195	18	each	each	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	195	19	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	195	20	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	195	21	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	195	22	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	195	23	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	195	24	wrongly	wrongly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	195	25	classified	classify	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	195	26	samples	sample	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	195	27	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	196	1	For	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	196	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	196	3	set	set	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	196	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	196	5	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	196	6	analyzed	analyze	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	196	7	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	196	8	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	196	9	crying	crying	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	196	10	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	196	11	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	196	12	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	196	13	one	one	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	196	14	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	196	15	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	196	16	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	196	17	classifies	classifie	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	196	18	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	196	19	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	196	20	best	good	JJS
work_egt7fmczgjgbpjnjxzpgy5npoy	196	21	way	way	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	196	22	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	196	23	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	196	24	97.67	97.67	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	196	25	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	196	26	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	196	27	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	196	28	166	166	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	196	29	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	196	30	170	170	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	196	31	samples	sample	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	196	32	correctly	correctly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	196	33	classified	classified	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	196	34	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	196	35	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	197	1	For	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	197	3	second	second	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	197	4	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	5	validation	validation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	6	approach	approach	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	7	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	197	8	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	197	9	10-fold	10-fold	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	197	10	cross	cross	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	11	-	-	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	12	validation	validation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	13	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	197	14	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	15	9	9	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	197	16	shows	show	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	197	17	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	197	18	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	19	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	197	20	loss	loss	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	21	obtained	obtain	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	22	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	23	each	each	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	197	24	fold	fold	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	197	25	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	197	26	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	27	10	10	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	197	28	shows	show	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	197	29	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	197	30	average	average	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	197	31	scores	score	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	197	32	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	33	all	all	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	197	34	Figure	figure	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	35	4	4	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	197	36	Loss	Loss	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	197	37	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	38	behavior	behavior	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	39	during	during	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	40	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	197	41	training	training	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	42	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	197	43	validation	validation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	197	44	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	198	1	Full	full	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	198	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	198	3	size	size	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	198	4	DOI	doi	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	198	5	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	198	6	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	198	7	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	198	8	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	198	9	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	198	10	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	198	11	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	198	12	fig-4	fig-4	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	198	13	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	198	14	8	8	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	198	15	Confusion	Confusion	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	198	16	matrix	matrix	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	198	17	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	198	18	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	198	19	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	198	20	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	198	21	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	198	22	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	199	1	Cry	cry	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	199	2	Play	Play	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	199	3	Run	run	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	199	4	Walk	Walk	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	199	5	Cry	Cry	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	199	6	166	166	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	199	7	4	4	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	199	8	0	0	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	199	9	0	0	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	199	10	Play	play	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	199	11	7	7	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	199	12	195	195	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	199	13	2	2	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	199	14	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	199	15	Run	run	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	199	16	5	5	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	199	17	10	10	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	199	18	185	185	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	199	19	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	199	20	Walk	walk	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	199	21	0	0	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	199	22	5	5	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	199	23	9	9	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	199	24	212	212	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	199	25	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	199	26	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	199	27	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	199	28	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	199	29	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	199	30	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	200	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	200	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	200	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	200	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	200	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	200	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	200	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	201	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	201	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	201	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	201	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	201	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	201	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	201	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	201	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	201	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	201	10	12/22	12/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	201	11	http://dx.doi.org/10.7717/peerj-cs.308/fig-4	http://dx.doi.org/10.7717/peerj-cs.308/fig-4	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	201	12	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	201	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	201	14	folds	fold	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	201	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	202	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	202	2	both	both	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	202	3	validation	validation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	202	4	processes	process	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	202	5	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	202	6	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	202	7	child	child	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	202	8	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	202	9	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	202	10	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	202	11	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	202	12	70–30	70–30	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	202	13	division	division	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	202	14	approach	approach	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	202	15	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	202	16	10-fold	10-fold	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	202	17	cross	cross	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	202	18	-	-	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	202	19	validation	validation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	202	20	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	202	21	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	202	22	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	202	23	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	202	24	observed	observe	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	202	25	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	202	26	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	202	27	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	202	28	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	202	29	very	very	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	202	30	similar	similar	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	202	31	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	203	1	DISCUSSION	DISCUSSION	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	203	2	Although	although	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	203	4	substantial	substantial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	203	5	contribution	contribution	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	6	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	203	8	present	present	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	203	9	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	10	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	203	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	203	12	presentation	presentation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	13	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	14	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	203	15	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	203	16	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	203	17	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	203	18	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	19	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	20	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	203	21	generation	generation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	22	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	23	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	203	24	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	203	25	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	26	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	27	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	28	through	through	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	29	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	203	30	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	31	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	203	32	there	there	EX
work_egt7fmczgjgbpjnjxzpgy5npoy	203	33	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	203	34	aspects	aspect	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	203	35	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	203	36	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	203	37	considered	consider	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	38	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	203	39	such	such	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	203	40	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	41	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	203	42	fact	fact	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	43	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	44	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	203	45	proposed	propose	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	46	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	47	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	203	48	specific	specific	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	203	49	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	50	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	203	51	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	52	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	203	53	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	203	54	susceptible	susceptible	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	203	55	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	56	being	be	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	203	57	optimized	optimize	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	203	58	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	204	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	204	2	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	204	3	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	204	4	independent	independent	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	204	5	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	204	6	each	each	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	204	7	other	other	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	204	8	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	204	9	that	that	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	204	10	is	is	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	204	11	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	204	12	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	204	13	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	204	14	does	do	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	204	15	not	not	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	204	16	consider	consider	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	204	17	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	204	18	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	204	19	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	204	20	performed	perform	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	204	21	simultaneously	simultaneously	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	204	22	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	205	1	Composite	composite	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	205	2	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	205	3	would	would	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	205	4	thus	thus	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	205	5	require	require	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	205	6	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	205	7	different	different	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	205	8	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	205	9	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	205	10	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	205	11	considered	consider	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	205	12	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	206	1	Another	another	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	206	2	important	important	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	206	3	point	point	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	4	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	206	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	206	6	type	type	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	7	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	8	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	206	9	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	10	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	11	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	206	12	one	one	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	13	works	work	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	206	14	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	206	15	since	since	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	16	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	206	17	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	18	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	206	19	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	20	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	21	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	206	22	fact	fact	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	23	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	24	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	206	25	captured	capture	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	26	audio	audio	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	27	corresponds	correspond	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	206	28	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	29	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	206	30	performed	perform	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	31	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	32	environments	environment	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	206	33	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	34	little	little	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	206	35	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	206	36	no	no	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	206	37	external	external	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	206	38	noise	noise	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	39	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	206	40	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	206	41	where	where	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	206	42	only	only	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	206	43	one	one	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	206	44	individual	individual	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	45	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	206	46	child	child	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	47	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	206	48	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	206	49	performing	perform	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	206	50	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	206	51	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	52	at	at	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	53	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	206	54	same	same	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	206	55	time	time	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	206	56	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	207	1	Environments	environment	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	207	2	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	207	3	considerable	considerable	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	207	4	external	external	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	207	5	noise	noise	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	207	6	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	207	7	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	207	8	several	several	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	207	9	individuals	individual	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	207	10	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	207	11	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	207	12	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	207	13	interacting	interact	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	207	14	at	at	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	207	15	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	207	16	same	same	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	207	17	time	time	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	207	18	would	would	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	207	19	require	require	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	207	20	another	another	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	207	21	type	type	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	207	22	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	207	23	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	207	24	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	208	1	It	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	208	2	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	208	3	also	also	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	208	4	important	important	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	208	5	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	208	6	highlight	highlight	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	208	7	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	208	8	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	208	9	results	result	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	208	10	obtained	obtain	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	208	11	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	208	12	terms	term	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	208	13	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	208	14	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	208	15	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	208	16	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	208	17	two	two	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	208	18	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	208	19	validation	validation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	208	20	approaches	approach	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	208	21	implemented	implement	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	208	22	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	208	23	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	208	24	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	208	25	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	208	26	similar	similar	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	208	27	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	208	28	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	208	29	confirms	confirm	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	208	30	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	208	31	performance	performance	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	208	32	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	208	33	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	208	34	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	208	35	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	208	36	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	208	37	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	208	38	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	208	39	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	208	40	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	208	41	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	208	42	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	208	43	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	209	1	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	209	2	9	9	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	209	3	Scores	score	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	209	4	per	per	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	209	5	fold	fold	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	209	6	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	209	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	209	8	10-fold	10-fold	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	209	9	cross	cross	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	209	10	-	-	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	209	11	validation	validation	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	209	12	approach	approach	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	209	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	210	1	Fold	fold	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	210	2	Accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	210	3	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	210	4	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	210	5	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	210	6	Loss	loss	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	210	7	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	8	92.91	92.91	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	9	0.8315	0.8315	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	10	2	2	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	11	95.14	95.14	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	12	0.1704	0.1704	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	13	3	3	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	14	92.50	92.50	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	15	1.1195	1.1195	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	16	4	4	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	17	95.13	95.13	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	18	0.2525	0.2525	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	19	5	5	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	20	97.00	97.00	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	21	0.1936	0.1936	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	22	6	6	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	23	94.75	94.75	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	24	0.3846	0.3846	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	25	7	7	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	26	94.00	94.00	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	27	0.2480	0.2480	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	28	8	8	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	29	90.63	90.63	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	30	0.3185	0.3185	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	31	9	9	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	32	93.63	93.63	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	33	0.6060	0.6060	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	34	10	10	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	35	96.25	96.25	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	36	0.2308	0.2308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	37	Table	table	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	210	38	10	10	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	39	Average	average	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	210	40	scores	score	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	210	41	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	210	42	all	all	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	210	43	folds	fold	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	210	44	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	210	45	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	210	46	10-fold	10-fold	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	210	47	cross	cross	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	210	48	-	-	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	210	49	validation	validation	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	210	50	approach	approach	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	210	51	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	211	1	Accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	211	2	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	211	3	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	211	4	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	211	5	Loss	loss	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	211	6	94.19	94.19	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	211	7	0.4356	0.4356	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	211	8	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	211	9	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	211	10	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	211	11	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	211	12	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	211	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	212	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	212	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	212	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	212	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	212	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	212	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	212	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	213	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	213	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	213	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	213	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	213	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	213	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	213	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	213	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	213	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	213	10	13/22	13/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	213	11	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	213	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	213	13	CONCLUSIONS	conclusion	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	213	14	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	213	15	aim	aim	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	16	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	17	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	213	18	present	present	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	213	19	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	20	was	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	213	21	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	213	22	create	create	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	213	23	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	213	24	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	213	25	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	26	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	27	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	28	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	213	29	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	213	30	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	31	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	32	data	data	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	33	source	source	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	34	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	213	35	through	through	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	36	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	213	37	design	design	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	38	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	39	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	213	40	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	213	41	ANN	ANN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	213	42	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	213	43	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	213	44	well	well	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	213	45	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	213	46	known	know	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	47	machine	machine	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	48	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	49	technique	technique	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	50	through	through	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	51	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	213	52	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	213	53	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	213	54	possible	possible	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	213	55	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	213	56	generate	generate	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	213	57	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	58	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	59	models	model	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	213	60	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	213	61	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	62	significant	significant	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	213	63	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	213	64	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	214	1	From	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	214	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	214	3	results	result	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	214	4	shown	show	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	214	5	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	214	6	“	"	``
work_egt7fmczgjgbpjnjxzpgy5npoy	214	7	Experiments	Experiments	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	214	8	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	214	9	Results	Results	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	214	10	”	"	''
work_egt7fmczgjgbpjnjxzpgy5npoy	214	11	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	214	12	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	214	13	following	follow	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	214	14	conclusions	conclusion	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	214	15	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	214	16	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	214	17	obtained	obtain	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	214	18	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	214	19	�	�	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	214	20	Environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	214	21	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	214	22	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	214	23	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	214	24	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	214	25	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	214	26	correctly	correctly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	214	27	classify	classify	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	214	28	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	214	29	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	214	30	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	215	1	Environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	215	2	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	215	3	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	215	4	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	215	5	effective	effective	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	215	6	data	data	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	215	7	source	source	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	215	8	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	215	9	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	215	10	generation	generation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	215	11	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	215	12	models	model	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	215	13	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	215	14	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	215	15	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	215	16	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	215	17	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	215	18	since	since	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	215	19	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	215	20	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	215	21	possible	possible	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	215	22	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	215	23	classify	classify	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	215	24	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	215	25	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	215	26	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	215	27	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	215	28	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	215	29	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	215	30	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	215	31	extracted	extracted	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	215	32	features	feature	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	215	33	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	215	34	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	215	35	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	215	36	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	215	37	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	216	1	�	�	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	216	2	Different	different	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	216	3	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	216	4	type	type	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	216	5	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	216	6	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	216	7	correctly	correctly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	216	8	classified	classified	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	216	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	217	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	217	2	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	217	3	correctly	correctly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	217	4	classifies	classify	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	217	5	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	217	6	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	217	7	different	different	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	217	8	types	type	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	217	9	such	such	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	217	10	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	217	11	crying	cry	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	217	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	217	13	playing	play	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	217	14	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	217	15	running	run	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	217	16	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	217	17	walking	walk	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	217	18	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	217	19	unlike	unlike	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	217	20	other	other	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	217	21	models	model	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	217	22	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	217	23	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	217	24	specific	specific	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	217	25	types	type	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	217	26	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	217	27	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	217	28	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	217	29	e.g.	e.g.	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	217	30	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	217	31	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	217	32	accelerometers	accelerometer	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	217	33	only	only	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	217	34	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	217	35	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	217	36	detectable	detectable	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	217	37	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	217	38	movement	movement	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	217	39	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	217	40	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	218	1	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	218	2	Deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	218	3	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	218	4	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	218	5	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	218	6	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	218	7	efficient	efficient	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	218	8	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	218	9	generating	generate	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	218	10	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	218	11	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	218	12	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	218	13	models	model	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	218	14	through	through	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	218	15	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	218	16	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	218	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	219	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	219	2	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	219	3	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	219	4	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	219	5	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	219	6	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	219	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	219	8	proposed	propose	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	219	9	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	219	10	correctly	correctly	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	219	11	classifies	classify	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	219	12	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	219	13	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	219	14	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	219	15	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	219	16	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	219	17	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	219	18	94	94	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	219	19	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	219	20	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	219	21	through	through	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	219	22	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	219	23	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	219	24	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	219	25	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	219	26	extracted	extracted	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	219	27	features	feature	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	219	28	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	219	29	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	219	30	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	219	31	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	219	32	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	220	1	�	�	:
work_egt7fmczgjgbpjnjxzpgy5npoy	220	2	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	220	3	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	220	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	220	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	220	6	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	220	7	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	220	8	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	220	9	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	220	10	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	220	11	similar	similar	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	220	12	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	220	13	other	other	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	220	14	machine	machine	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	220	15	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	220	16	techniques	technique	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	220	17	reported	report	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	220	18	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	221	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	221	2	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	221	3	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	221	4	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	221	5	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	6	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	221	8	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	9	proposed	propose	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	10	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	221	12	present	present	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	221	13	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	14	achieves	achieve	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	221	15	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	221	16	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	17	similar	similar	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	221	18	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	19	that	that	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	221	20	reported	report	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	21	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	22	our	-PRON-	PRP$
work_egt7fmczgjgbpjnjxzpgy5npoy	221	23	previous	previous	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	221	24	works	work	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	221	25	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	221	26	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	27	other	other	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	221	28	machine	machine	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	29	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	30	techniques	technique	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	221	31	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	221	32	100	100	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	221	33	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	34	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	35	kNN	kNN	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	221	36	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	37	34	34	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	221	38	features	feature	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	221	39	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	221	40	Blanco-	Blanco-	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	221	41	Murillo	Murillo	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	221	42	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	221	43	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	221	44	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	221	45	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	221	46	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	221	47	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	221	48	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	221	49	94.25	94.25	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	221	50	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	51	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	52	kNN	kNN	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	221	53	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	221	54	27	27	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	221	55	features	feature	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	221	56	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	221	57	Garca	Garca	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	221	58	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	221	59	Domnguez	Domnguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	221	60	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	221	61	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	221	62	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	221	63	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	221	64	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	221	65	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	221	66	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	222	1	FUTURE	FUTURE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	222	2	WORK	work	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	222	3	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	222	4	present	present	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	222	5	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	222	6	allows	allow	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	222	7	us	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	222	8	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	222	9	demonstrate	demonstrate	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	222	10	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	222	11	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	222	12	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	222	13	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	222	14	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	222	15	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	222	16	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	222	17	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	222	18	efficient	efficient	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	222	19	technique	technique	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	222	20	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	222	21	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	222	22	generation	generation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	222	23	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	222	24	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	222	25	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	222	26	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	222	27	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	222	28	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	222	29	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	222	30	however	however	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	222	31	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	222	32	some	some	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	222	33	aspects	aspect	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	222	34	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	222	35	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	222	36	worked	work	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	222	37	on	on	RP
work_egt7fmczgjgbpjnjxzpgy5npoy	222	38	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	222	39	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	222	40	future	future	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	222	41	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	223	1	Therefore	therefore	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	223	2	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	223	3	we	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	223	4	propose	propose	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	223	5	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	6	part	part	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	7	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	8	future	future	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	9	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	10	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	223	11	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	12	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	13	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	223	14	parameters	parameter	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	223	15	described	describe	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	16	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	17	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	223	18	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	19	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	20	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	223	21	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	223	22	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	23	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	223	24	as	as	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	223	25	well	well	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	223	26	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	27	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	223	28	consideration	consideration	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	29	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	30	feature	feature	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	31	selection	selection	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	32	techniques	technique	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	223	33	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	34	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	223	35	dataset	dataset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	223	36	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	224	1	As	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	224	2	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	224	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	224	4	set	set	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	224	5	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	224	6	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	224	7	analyzed	analyze	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	224	8	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	224	9	we	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	224	10	also	also	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	224	11	propose	propose	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	224	12	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	224	13	future	future	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	224	14	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	224	15	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	224	16	addition	addition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	224	17	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	224	18	more	more	JJR
work_egt7fmczgjgbpjnjxzpgy5npoy	224	19	simple	simple	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	224	20	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	224	21	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	224	22	as	as	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	224	23	well	well	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	224	24	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	224	25	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	224	26	proposal	proposal	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	224	27	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	224	28	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	224	29	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	224	30	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	224	31	compound	compound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	224	32	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	224	33	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	224	34	both	both	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	224	35	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	224	36	controlled	controlled	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	224	37	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	224	38	uncontrolled	uncontrolled	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	224	39	environments	environment	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	224	40	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	225	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	225	2	proposed	propose	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	225	3	future	future	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	225	4	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	225	5	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	225	6	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	225	7	�	�	.
work_egt7fmczgjgbpjnjxzpgy5npoy	225	8	To	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	225	9	analyze	analyze	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	225	10	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	225	11	parameters	parameter	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	225	12	described	describe	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	225	13	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	225	14	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	225	15	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	225	16	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	225	17	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	225	18	proposed	propose	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	225	19	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	225	20	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	225	21	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	225	22	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	225	23	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	225	24	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	225	25	aim	aim	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	225	26	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	225	27	performing	perform	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	225	28	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	225	29	optimization	optimization	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	225	30	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	225	31	allows	allow	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	225	32	increasing	increase	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	225	33	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	225	34	accuracy	accuracy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	225	35	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	225	36	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	225	37	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	225	38	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	225	39	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	225	40	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	225	41	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	226	1	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	226	2	To	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	226	3	include	include	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	226	4	feature	feature	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	226	5	selection	selection	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	226	6	techniques	technique	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	226	7	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	226	8	reduce	reduce	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	226	9	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	226	10	size	size	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	226	11	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	226	12	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	226	13	dataset	dataset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	226	14	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	226	15	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	226	16	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	226	17	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	226	18	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	226	19	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	226	20	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	226	21	works	work	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	226	22	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	226	23	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	226	24	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	226	25	favorably	favorably	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	226	26	impact	impact	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	226	27	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	226	28	performance	performance	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	226	29	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	226	30	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	226	31	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	226	32	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	226	33	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	226	34	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	227	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	227	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	227	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	227	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	227	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	227	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	227	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	228	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	228	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	228	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	228	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	228	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	228	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	228	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	228	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	228	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	228	10	14/22	14/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	228	11	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	228	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	ADD
work_egt7fmczgjgbpjnjxzpgy5npoy	228	13	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	228	14	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	228	15	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	228	16	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	229	1	This	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	229	2	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	229	3	important	important	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	229	4	especially	especially	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	229	5	when	when	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	229	6	working	work	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	229	7	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	229	8	models	model	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	229	9	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	229	10	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	229	11	implemented	implement	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	229	12	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	229	13	mobile	mobile	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	229	14	devices	device	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	229	15	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	229	16	limited	limited	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	229	17	resources	resource	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	229	18	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	230	1	�	�	:
work_egt7fmczgjgbpjnjxzpgy5npoy	230	2	To	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	230	3	analyze	analyze	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	230	4	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	230	5	dataset	dataset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	230	6	size	size	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	230	7	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	230	8	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	230	9	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	230	10	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	230	11	instances	instance	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	230	12	per	per	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	230	13	class	class	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	230	14	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	230	15	ensure	ensure	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	230	16	optimal	optimal	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	230	17	training	training	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	230	18	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	230	19	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	230	20	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	230	21	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	230	22	expand	expand	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	230	23	it	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	230	24	if	if	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	230	25	necessary	necessary	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	230	26	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	231	1	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	231	2	To	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	231	3	increase	increase	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	231	4	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	231	5	set	set	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	231	6	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	231	7	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	231	8	analyzed	analyze	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	231	9	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	231	10	adding	add	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	231	11	additional	additional	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	231	12	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	231	13	that	that	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	231	14	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	231	15	performed	perform	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	231	16	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	231	17	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	231	18	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	231	19	which	which	WDT
work_egt7fmczgjgbpjnjxzpgy5npoy	231	20	will	will	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	231	21	allow	allow	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	231	22	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	231	23	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	231	24	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	231	25	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	231	26	more	more	RBR
work_egt7fmczgjgbpjnjxzpgy5npoy	231	27	robust	robust	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	231	28	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	232	1	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	232	2	To	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	232	3	propose	propose	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	232	4	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	232	5	type	type	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	232	6	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	232	7	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	232	8	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	232	9	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	232	10	performed	perform	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	232	11	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	232	12	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	232	13	case	case	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	232	14	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	232	15	compound	compound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	232	16	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	232	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	233	1	�	�	:
work_egt7fmczgjgbpjnjxzpgy5npoy	233	2	To	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	233	3	analyze	analyze	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	233	4	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	233	5	methods	method	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	233	6	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	233	7	techniques	technique	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	233	8	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	233	9	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	233	10	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	233	11	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	233	12	classify	classify	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	233	13	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	233	14	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	233	15	through	through	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	233	16	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	233	17	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	233	18	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	233	19	uncontrolled	uncontrolled	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	233	20	environments	environment	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	233	21	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	233	22	outside	outside	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	233	23	noise	noise	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	233	24	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	234	1	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	234	2	To	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	234	3	design	design	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	234	4	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	234	5	practical	practical	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	234	6	application	application	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	234	7	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	234	8	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	234	9	specific	specific	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	234	10	scenario	scenario	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	234	11	where	where	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	234	12	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	234	13	generated	generate	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	234	14	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	234	15	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	234	16	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	234	17	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	234	18	applied	apply	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	234	19	considering	consider	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	234	20	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	234	21	points	point	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	234	22	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	234	23	work	work	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	234	24	mentioned	mention	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	234	25	above	above	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	234	26	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	235	1	ADDITIONAL	additional	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	235	2	INFORMATION	information	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	235	3	AND	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	235	4	DECLARATIONS	declaration	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	235	5	Funding	fund	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	235	6	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	235	7	authors	author	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	235	8	received	receive	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	235	9	no	no	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	235	10	funding	funding	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	235	11	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	235	12	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	235	13	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	235	14	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	236	1	Competing	compete	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	236	2	Interests	interest	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	236	3	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	236	4	authors	author	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	236	5	declare	declare	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	236	6	that	that	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	236	7	they	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	236	8	have	have	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	236	9	no	no	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	236	10	competing	compete	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	236	11	interests	interest	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	236	12	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	237	1	Author	author	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	237	2	Contributions	contribution	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	237	3	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	237	4	Antonio	Antonio	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	237	5	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	237	6	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	237	7	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	237	8	conceived	conceive	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	237	9	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	237	10	designed	design	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	237	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	237	12	experiments	experiment	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	237	13	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	237	14	performed	perform	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	237	15	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	237	16	experiments	experiment	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	237	17	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	237	18	analyzed	analyze	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	237	19	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	237	20	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	237	21	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	237	22	performed	perform	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	237	23	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	237	24	computation	computation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	237	25	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	237	26	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	237	27	prepared	prepare	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	237	28	figures	figure	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	237	29	and/	and/	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	237	30	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	237	31	tables	table	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	237	32	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	237	33	authored	author	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	237	34	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	237	35	reviewed	review	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	237	36	drafts	draft	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	237	37	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	237	38	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	237	39	paper	paper	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	237	40	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	237	41	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	237	42	approved	approve	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	237	43	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	237	44	final	final	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	237	45	draft	draft	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	237	46	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	238	1	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	238	2	Carlos	Carlos	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	238	3	E.	E.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	238	4	Galvan	Galvan	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	238	5	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	238	6	Tejada	Tejada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	238	7	conceived	conceive	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	238	8	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	238	9	designed	design	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	238	10	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	238	11	experiments	experiment	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	238	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	238	13	performed	perform	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	238	14	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	238	15	experiments	experiment	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	238	16	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	238	17	analyzed	analyze	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	238	18	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	238	19	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	238	20	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	238	21	prepared	prepare	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	238	22	figures	figure	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	238	23	and/or	and/or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	238	24	tables	table	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	238	25	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	238	26	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	238	27	approved	approve	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	238	28	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	238	29	final	final	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	238	30	draft	draft	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	238	31	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	239	1	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	239	2	Laura	Laura	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	239	3	A.	a.	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	239	4	Zanella	Zanella	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	239	5	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	239	6	Calzada	Calzada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	239	7	conceived	conceive	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	239	8	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	239	9	designed	design	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	239	10	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	239	11	experiments	experiment	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	239	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	239	13	performed	perform	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	239	14	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	239	15	experiments	experiment	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	239	16	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	239	17	analyzed	analyze	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	239	18	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	239	19	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	239	20	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	239	21	prepared	prepare	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	239	22	figures	figure	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	239	23	and/or	and/or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	239	24	tables	table	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	239	25	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	239	26	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	239	27	approved	approve	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	239	28	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	239	29	final	final	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	239	30	draft	draft	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	239	31	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	240	1	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	240	2	Hamurabi	Hamurabi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	240	3	Gamboa	Gamboa	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	240	4	performed	perform	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	240	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	240	6	experiments	experiment	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	240	7	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	240	8	analyzed	analyze	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	240	9	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	240	10	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	240	11	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	240	12	prepared	prepare	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	240	13	figures	figure	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	240	14	and/	and/	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	240	15	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	240	16	tables	table	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	240	17	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	240	18	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	240	19	approved	approve	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	240	20	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	240	21	final	final	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	240	22	draft	draft	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	240	23	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	241	1	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	241	2	Jorge	Jorge	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	241	3	I.	I.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	241	4	Galván	Galván	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	241	5	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	241	6	Tejada	Tejada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	241	7	analyzed	analyze	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	241	8	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	241	9	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	241	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	241	11	prepared	prepare	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	241	12	figures	figure	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	241	13	and/or	and/or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	241	14	tables	table	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	241	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	241	16	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	241	17	approved	approve	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	241	18	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	241	19	final	final	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	241	20	draft	draft	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	241	21	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	242	1	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	242	2	José	José	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	242	3	María	María	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	242	4	Celaya	Celaya	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	242	5	Padilla	Padilla	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	242	6	analyzed	analyze	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	242	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	242	8	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	242	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	242	10	performed	perform	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	242	11	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	242	12	computation	computation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	242	13	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	242	14	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	242	15	prepared	prepare	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	242	16	figures	figure	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	242	17	and/or	and/or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	242	18	tables	table	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	242	19	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	242	20	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	242	21	approved	approve	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	242	22	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	242	23	final	final	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	242	24	draft	draft	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	242	25	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	243	1	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	243	2	Huizilopoztli	Huizilopoztli	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	243	3	Luna	Luna	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	243	4	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	243	5	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	243	6	performed	perform	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	243	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	243	8	computation	computation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	243	9	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	243	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	243	11	authored	author	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	243	12	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	243	13	reviewed	review	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	243	14	drafts	draft	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	243	15	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	243	16	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	243	17	paper	paper	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	243	18	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	243	19	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	243	20	approved	approve	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	243	21	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	243	22	final	final	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	243	23	draft	draft	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	243	24	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	244	1	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	244	2	Jose	Jose	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	244	3	G.	G.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	244	4	Arceo	Arceo	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	244	5	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	244	6	Olague	Olague	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	244	7	performed	perform	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	244	8	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	244	9	computation	computation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	244	10	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	244	11	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	244	12	authored	author	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	244	13	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	244	14	reviewed	review	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	244	15	drafts	draft	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	244	16	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	244	17	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	244	18	paper	paper	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	244	19	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	244	20	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	244	21	approved	approve	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	244	22	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	244	23	final	final	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	244	24	draft	draft	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	244	25	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	245	1	�	�	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	245	2	Rafael	Rafael	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	245	3	Magallanes	Magallanes	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	245	4	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	245	5	Quintanar	Quintanar	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	245	6	performed	perform	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	245	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	245	8	computation	computation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	245	9	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	245	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	245	11	authored	author	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	245	12	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	245	13	reviewed	review	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	245	14	drafts	draft	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	245	15	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	245	16	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	245	17	paper	paper	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	245	18	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	245	19	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	245	20	approved	approve	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	245	21	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	245	22	final	final	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	245	23	draft	draft	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	245	24	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	246	1	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	246	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	246	3	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	246	4	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	246	5	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	246	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	247	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	247	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	247	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	247	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	247	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	247	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	247	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	248	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	248	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	248	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	248	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	248	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	248	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	248	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	248	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	248	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	248	10	15/22	15/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	248	11	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	248	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	248	13	Data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	248	14	Availability	Availability	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	248	15	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	248	16	following	follow	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	248	17	information	information	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	248	18	was	be	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	248	19	supplied	supply	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	248	20	regarding	regard	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	248	21	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	248	22	availability	availability	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	248	23	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	248	24	Raw	raw	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	248	25	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	248	26	are	be	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	248	27	available	available	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	248	28	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	248	29	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	248	30	Supplemental	Supplemental	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	248	31	Files	Files	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	248	32	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	249	1	Supplemental	supplemental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	249	2	Information	information	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	249	3	Supplemental	supplemental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	249	4	information	information	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	249	5	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	249	6	this	this	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	249	7	article	article	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	249	8	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	249	9	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	249	10	found	find	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	249	11	online	online	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	249	12	at	at	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	249	13	http://dx.doi.org/10.7717/	http://dx.doi.org/10.7717/	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	249	14	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	249	15	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	249	16	cs.308#supplemental	cs.308#supplemental	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	249	17	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	249	18	information	information	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	249	19	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	250	1	REFERENCES	REFERENCES	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	2	Abadi	Abadi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	3	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	5	Barham	Barham	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	6	P	P	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	7	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	8	Chen	Chen	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	9	J	J	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	11	Chen	Chen	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	12	Z	Z	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	13	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	14	Davis	Davis	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	15	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	16	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	17	Dean	Dean	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	18	J	J	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	19	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	20	Devin	Devin	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	21	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	22	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	23	Ghemawat	Ghemawat	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	24	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	25	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	26	Irving	Irving	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	27	G	G	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	28	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	29	Isard	Isard	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	30	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	31	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	32	Kudlur	Kudlur	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	33	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	34	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	35	Levenberg	Levenberg	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	36	J	J	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	37	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	38	Monga	Monga	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	39	R	R	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	40	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	41	Moore	Moore	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	42	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	43	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	44	Murray	Murray	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	45	DG	DG	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	46	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	47	Steiner	Steiner	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	48	B	B	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	49	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	50	Tucker	Tucker	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	51	P	P	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	52	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	53	Vasudevan	Vasudevan	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	54	V	V	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	55	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	56	Warden	Warden	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	57	P	P	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	58	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	59	Wicke	Wicke	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	60	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	61	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	62	Yu	Yu	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	63	Y	Y	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	64	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	65	Zheng	Zheng	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	66	X	X	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	67	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	250	68	Brain	Brain	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	69	G.	G.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	250	70	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	250	71	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	251	1	Tensorflow	tensorflow	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	251	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	251	3	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	251	4	system	system	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	251	5	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	251	6	large	large	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	251	7	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	251	8	scale	scale	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	251	9	machine	machine	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	251	10	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	251	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	252	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	252	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	252	3	12th	12th	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	252	4	USENIX	USENIX	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	252	5	Symposium	Symposium	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	252	6	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	252	7	Operating	operate	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	252	8	Systems	Systems	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	252	9	Design	design	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	252	10	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	252	11	Implementation	implementation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	252	12	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	252	13	OSDI	OSDI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	252	14	16	16	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	252	15	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	252	16	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	252	17	265–283	265–283	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	252	18	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	253	1	Al	Al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	253	2	Nuaimi	Nuaimi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	253	3	E	E	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	253	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	253	5	Al	Al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	253	6	Neyadi	Neyadi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	253	7	H	H	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	253	8	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	253	9	Mohamed	Mohamed	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	253	10	N	N	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	253	11	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	253	12	Al	Al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	253	13	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	253	14	Jaroodi	Jaroodi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	253	15	J.	J.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	254	1	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	254	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	255	1	Applications	application	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	255	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	255	3	big	big	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	255	4	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	255	5	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	255	6	smart	smart	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	255	7	cities	city	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	255	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	256	1	Journal	Journal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	256	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	256	3	Internet	Internet	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	256	4	Services	Services	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	256	5	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	256	6	Applications	Applications	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	256	7	6(1):25	6(1):25	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	256	8	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	256	9	10.1186	10.1186	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	256	10	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	256	11	s13174	s13174	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	256	12	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	256	13	015	015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	256	14	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	256	15	0041	0041	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	256	16	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	256	17	5	5	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	256	18	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	257	1	Alahi	Alahi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	257	2	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	257	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	257	4	Goel	Goel	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	257	5	K	K	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	257	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	257	7	Ramanathan	Ramanathan	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	257	8	V	V	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	257	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	257	10	Robicquet	Robicquet	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	257	11	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	257	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	257	13	Fei	Fei	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	257	14	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	257	15	Fei	Fei	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	257	16	L	L	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	257	17	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	257	18	Savarese	Savarese	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	257	19	S.	S.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	257	20	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	257	21	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	258	1	Social	social	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	258	2	lstm	lstm	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	258	3	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	258	4	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	258	5	trajectory	trajectory	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	258	6	prediction	prediction	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	258	7	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	258	8	crowded	crowded	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	258	9	spaces	space	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	258	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	259	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	259	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	259	3	Proceedings	proceeding	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	259	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	259	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	259	6	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	259	7	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	259	8	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	259	9	Computer	Computer	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	259	10	Vision	Vision	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	259	11	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	259	12	Pattern	Pattern	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	259	13	Recognition	Recognition	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	259	14	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	260	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	260	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	260	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	260	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	260	5	961–971	961–971	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	260	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	261	1	Albino	albino	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	261	2	V	v	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	261	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	261	4	Berardi	Berardi	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	261	5	U	U	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	261	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	261	7	Dangelico	Dangelico	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	261	8	RM	RM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	261	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	262	1	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	262	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	263	1	Smart	smart	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	263	2	cities	city	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	263	3	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	263	4	definitions	definition	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	263	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	263	6	dimensions	dimension	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	263	7	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	263	8	performance	performance	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	263	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	263	10	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	263	11	initiatives	initiative	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	263	12	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	264	1	Journal	Journal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	264	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	264	3	Urban	Urban	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	264	4	Technology	Technology	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	264	5	22(1):3–21	22(1):3–21	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	264	6	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	264	7	10.1080/10630732.2014.942092	10.1080/10630732.2014.942092	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	264	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	265	1	Altun	Altun	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	265	2	K	K	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	265	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	265	4	Barshan	Barshan	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	265	5	B.	B.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	266	1	2010	2010	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	266	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	267	1	Human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	267	2	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	267	3	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	267	4	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	267	5	inertial	inertial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	267	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	267	7	magnetic	magnetic	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	267	8	sensor	sensor	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	267	9	units	unit	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	267	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	268	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	268	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	268	3	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	268	4	Workshop	Workshop	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	268	5	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	268	6	Human	Human	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	268	7	Behavior	Behavior	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	268	8	Understanding	Understanding	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	268	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	268	10	Springer	Springer	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	268	11	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	268	12	38–51	38–51	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	268	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	269	1	Alvarez	Alvarez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	269	2	JM	JM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	269	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	269	4	Salzmann	Salzmann	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	269	5	M.	M.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	269	6	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	269	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	270	1	Learning	learn	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	270	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	270	3	number	number	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	270	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	270	5	neurons	neuron	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	270	6	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	270	7	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	270	8	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	270	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	271	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	271	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	271	3	Advances	advance	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	271	4	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	271	5	Neural	Neural	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	271	6	Information	Information	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	271	7	Processing	Processing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	271	8	Systems	Systems	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	271	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	271	10	2270–2278	2270–2278	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	271	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	272	1	Arasteh	Arasteh	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	272	2	H	H	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	272	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	272	4	Hosseinnezhad	Hosseinnezhad	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	272	5	V	V	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	272	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	272	7	Loia	Loia	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	272	8	V	V	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	272	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	272	10	Tommasetti	Tommasetti	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	272	11	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	272	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	272	13	Troisi	Troisi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	272	14	O	O	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	272	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	272	16	Shafie	shafie	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	272	17	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	272	18	Khah	Khah	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	272	19	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	272	20	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	272	21	Siano	Siano	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	272	22	P.	P.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	272	23	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	272	24	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	273	1	Iot	Iot	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	273	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	273	3	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	273	4	smart	smart	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	273	5	cities	city	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	273	6	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	273	7	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	273	8	survey	survey	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	273	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	274	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	274	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	274	3	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	274	4	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	274	5	16th	16th	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	274	6	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	274	7	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	274	8	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	274	9	Environment	Environment	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	274	10	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	274	11	Electrical	Electrical	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	274	12	Engineering	Engineering	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	274	13	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	274	14	EEEIC	EEEIC	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	274	15	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	274	16	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	275	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	275	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	275	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	275	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	275	5	1–6	1–6	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	275	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	276	1	Aron	Aron	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	276	2	J.	J.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	277	1	2011	2011	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	277	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	278	1	How	how	WRB
work_egt7fmczgjgbpjnjxzpgy5npoy	278	2	innovative	innovative	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	278	3	is	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	278	4	Apple	Apple	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	278	5	’s	’s	POS
work_egt7fmczgjgbpjnjxzpgy5npoy	278	6	new	new	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	278	7	voice	voice	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	278	8	assistant	assistant	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	278	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	278	10	Siri	Siri	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	278	11	?	?	.
work_egt7fmczgjgbpjnjxzpgy5npoy	279	1	New	New	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	279	2	Scientist	Scientist	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	279	3	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	280	1	212(2836):24	212(2836):24	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	280	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	281	1	Balli	Balli	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	281	2	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	281	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	281	4	Sağbaș	Sağbaș	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	281	5	EA	EA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	281	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	281	7	Peker	Peker	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	281	8	M.	M.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	281	9	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	281	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	282	1	Human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	282	2	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	282	3	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	282	4	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	282	5	smart	smart	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	282	6	watch	watch	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	282	7	sensor	sensor	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	282	8	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	282	9	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	282	10	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	282	11	hybrid	hybrid	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	282	12	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	282	13	principal	principal	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	282	14	component	component	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	282	15	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	282	16	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	282	17	random	random	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	282	18	forest	forest	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	282	19	algorithm	algorithm	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	282	20	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	283	1	Measurement	Measurement	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	283	2	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	283	3	Control	Control	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	283	4	52(1–2):37–45	52(1–2):37–45	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	283	5	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	284	1	Barbedo	Barbedo	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	284	2	JGA	JGA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	284	3	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	285	1	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	285	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	286	1	Impact	impact	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	286	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	286	3	dataset	dataset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	286	4	size	size	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	286	5	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	286	6	variety	variety	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	286	7	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	286	8	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	286	9	effectiveness	effectiveness	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	286	10	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	286	11	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	286	12	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	286	13	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	286	14	transfer	transfer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	286	15	learning	learn	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	286	16	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	286	17	plant	plant	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	286	18	disease	disease	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	286	19	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	286	20	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	287	1	Computers	Computers	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	287	2	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	287	3	Electronics	Electronics	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	287	4	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	287	5	Agriculture	Agriculture	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	287	6	153:46–53	153:46–53	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	287	7	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	287	8	10.1016	10.1016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	287	9	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	287	10	j.compag.2018.08.013	j.compag.2018.08.013	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	287	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	288	1	Bhat	Bhat	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	288	2	HR	hr	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	288	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	288	4	Lone	Lone	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	288	5	TA	TA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	288	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	288	7	Paul	Paul	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	288	8	ZM	ZM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	288	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	289	1	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	289	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	290	1	Cortana	Cortana	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	290	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	290	3	intelligent	intelligent	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	290	4	personal	personal	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	290	5	digital	digital	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	290	6	assistant	assistant	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	290	7	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	290	8	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	290	9	review	review	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	290	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	291	1	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	291	2	Journal	Journal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	291	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	291	4	Advanced	Advanced	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	291	5	Research	Research	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	291	6	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	291	7	Computer	Computer	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	291	8	Science	Science	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	291	9	8(7):55–57	8(7):55–57	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	291	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	292	1	Blanco	Blanco	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	292	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	292	3	Murillo	Murillo	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	292	4	DM	DM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	292	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	292	6	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	292	7	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	292	8	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	292	9	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	292	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	292	11	Galván	Galván	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	292	12	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	292	13	Tejada	Tejada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	292	14	CE	CE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	292	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	292	16	Celaya	Celaya	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	292	17	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	292	18	Padilla	Padilla	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	292	19	JM	JM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	292	20	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	293	1	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	293	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	294	1	Comparación	Comparación	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	294	2	del	del	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	294	3	nivel	nivel	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	294	4	de	de	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	294	5	precisión	precisión	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	294	6	de	de	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	294	7	los	los	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	294	8	clasificadores	clasificadore	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	294	9	support	support	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	294	10	vector	vector	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	294	11	machines	machine	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	294	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	294	13	k	k	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	294	14	nearest	near	JJS
work_egt7fmczgjgbpjnjxzpgy5npoy	294	15	neighbors	neighbor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	294	16	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	294	17	random	random	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	294	18	forests	forest	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	294	19	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	294	20	extra	extra	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	294	21	trees	tree	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	294	22	y	y	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	294	23	gradient	gradient	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	294	24	boosting	boost	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	294	25	en	en	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	294	26	el	el	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	294	27	reconocimiento	reconocimiento	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	294	28	de	de	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	294	29	actividades	actividade	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	294	30	infantiles	infantile	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	294	31	utilizando	utilizando	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	294	32	sonido	sonido	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	294	33	ambiental	ambiental	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	294	34	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	295	1	Research	research	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	295	2	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	295	3	Computing	Computing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	295	4	Science	Science	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	295	5	147(5):281–290	147(5):281–290	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	295	6	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	295	7	10.13053	10.13053	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	295	8	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	295	9	rcs-147	rcs-147	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	295	10	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	295	11	5	5	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	295	12	-	-	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	295	13	21	21	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	295	14	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	296	1	Blasco	Blasco	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	296	2	R	R	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	296	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	296	4	Marco	Marco	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	296	5	Á	Á	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	296	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	296	7	Casas	Casas	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	296	8	R	R	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	296	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	296	10	Cirujano	Cirujano	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	296	11	D	D	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	296	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	296	13	Picking	Picking	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	296	14	R.	R.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	296	15	2014	2014	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	296	16	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	297	1	A	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	297	2	smart	smart	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	297	3	kitchen	kitchen	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	297	4	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	297	5	ambient	ambient	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	297	6	assisted	assisted	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	297	7	living	living	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	297	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	298	1	Sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	298	2	14(1):1629–1653	14(1):1629–1653	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	298	3	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	298	4	10.3390	10.3390	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	298	5	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	298	6	s140101629	s140101629	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	298	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	299	1	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	299	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	299	3	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	299	4	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	299	5	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	299	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	300	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	300	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	300	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	300	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	300	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	300	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	300	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	301	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	301	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	301	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	301	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	301	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	10	16/22	16/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	301	11	http://dx.doi.org/10.7717/peerj-cs.308#supplemental-information	http://dx.doi.org/10.7717/peerj-cs.308#supplemental-information	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	12	http://dx.doi.org/10.7717/peerj-cs.308#supplemental-information	http://dx.doi.org/10.7717/peerj-cs.308#supplemental-information	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	13	http://dx.doi.org/10.7717/peerj-cs.308#supplemental-information	http://dx.doi.org/10.7717/peerj-cs.308#supplemental-information	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	14	http://dx.doi.org/10.1186/s13174-015-0041-5	http://dx.doi.org/10.1186/s13174-015-0041-5	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	15	http://dx.doi.org/10.1080/10630732.2014.942092	http://dx.doi.org/10.1080/10630732.2014.942092	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	16	http://dx.doi.org/10.1016/j.compag.2018.08.013	http://dx.doi.org/10.1016/j.compag.2018.08.013	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	17	http://dx.doi.org/10.13053/rcs-147-5-21	http://dx.doi.org/10.13053/rcs-147-5-21	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	18	http://dx.doi.org/10.3390/s140101629	http://dx.doi.org/10.3390/s140101629	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	19	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	20	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	301	21	Boufama	Boufama	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	22	B	B	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	23	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	301	24	Habashi	Habashi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	25	P	P	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	26	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	301	27	Ahmad	Ahmad	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	301	28	IS	be	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	301	29	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	302	1	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	302	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	303	1	Trajectory	Trajectory	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	303	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	303	3	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	303	4	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	303	5	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	303	6	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	303	7	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	303	8	videos	video	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	303	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	304	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	304	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	304	3	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	304	4	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	304	5	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	304	6	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	304	7	Advanced	Advanced	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	304	8	Technologies	Technologies	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	304	9	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	304	10	Signal	Signal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	304	11	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	304	12	Image	Image	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	304	13	Processing	Processing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	304	14	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	304	15	ATSIP	ATSIP	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	304	16	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	304	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	305	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	305	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	305	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	305	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	305	5	1–5	1–5	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	305	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	306	1	Boughorbel	Boughorbel	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	306	2	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	306	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	306	4	Breebaart	Breebaart	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	306	5	J	J	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	306	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	306	7	Bruekers	Bruekers	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	306	8	F	F	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	306	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	306	10	Flinsenberg	Flinsenberg	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	306	11	I	I	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	306	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	306	13	Kate	Kate	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	306	14	WT	WT	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	306	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	307	1	2010	2010	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	307	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	308	1	Child	child	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	308	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	308	3	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	308	4	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	308	5	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	308	6	multi	multi	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	308	7	-	-	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	308	8	sensor	sensor	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	308	9	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	308	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	309	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	309	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	309	3	Proceedings	proceeding	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	309	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	309	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	309	6	7th	7th	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	309	7	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	309	8	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	309	9	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	309	10	Methods	Methods	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	309	11	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	309	12	Techniques	Techniques	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	309	13	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	309	14	Behavioral	Behavioral	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	309	15	Research	Research	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	309	16	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	309	17	MB	MB	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	309	18	10	10	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	309	19	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	310	1	Brophy	Brophy	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	310	2	E	E	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	310	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	310	4	Muehlhausen	Muehlhausen	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	310	5	W	W	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	310	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	310	7	Smeaton	Smeaton	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	310	8	AF	AF	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	310	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	310	10	Ward	Ward	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	310	11	TE	TE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	310	12	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	311	1	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	311	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	312	1	Optimised	optimise	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	312	2	convolutional	convolutional	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	312	3	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	312	4	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	312	5	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	312	6	heart	heart	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	312	7	rate	rate	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	312	8	estimation	estimation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	312	9	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	312	10	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	312	11	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	312	12	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	312	13	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	312	14	wrist	wrist	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	312	15	worn	wear	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	312	16	sensing	sensing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	312	17	applications	application	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	312	18	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	313	1	ArXiv	ArXiv	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	313	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	314	1	Available	available	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	314	2	at	at	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	314	3	https://arxiv.org/abs/2004.00505	https://arxiv.org/abs/2004.00505	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	314	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	315	1	Burbano	burbano	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	315	2	D	d	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	315	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	315	4	Carrera	Carrera	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	315	5	JL	JL	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	315	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	316	1	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	316	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	317	1	Human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	317	2	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	317	3	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	317	4	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	317	5	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	317	6	car	car	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	317	7	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	317	8	embedded	embed	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	317	9	devices	device	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	317	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	318	1	Latin	latin	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	318	2	American	American	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	318	3	Journal	Journal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	318	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	318	5	Computing	Computing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	318	6	Faculty	Faculty	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	318	7	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	318	8	Systems	Systems	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	318	9	Engineering	Engineering	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	318	10	Escuela	Escuela	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	318	11	Politécnica	Politécnica	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	318	12	Nacional	Nacional	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	318	13	Quito	Quito	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	318	14	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	318	15	Ecuador	Ecuador	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	318	16	2(2):33–39	2(2):33–39	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	318	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	319	1	Caba	Caba	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	319	2	Heilbron	Heilbron	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	319	3	F	F	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	319	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	319	5	Escorcia	Escorcia	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	319	6	V	V	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	319	7	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	319	8	Ghanem	Ghanem	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	319	9	B	B	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	319	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	319	11	Carlos	Carlos	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	319	12	Niebles	Niebles	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	319	13	J.	J.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	320	1	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	320	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	321	1	Activitynet	activitynet	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	321	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	321	3	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	321	4	large	large	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	321	5	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	321	6	scale	scale	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	321	7	video	video	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	321	8	benchmark	benchmark	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	321	9	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	321	10	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	321	11	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	321	12	understanding	understanding	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	321	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	322	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	322	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	322	3	Proceedings	proceeding	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	322	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	322	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	322	6	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	322	7	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	322	8	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	322	9	Computer	Computer	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	322	10	Vision	Vision	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	322	11	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	322	12	Pattern	Pattern	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	322	13	Recognition	Recognition	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	322	14	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	323	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	323	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	323	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	323	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	323	5	961–970	961–970	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	323	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	324	1	Capela	Capela	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	324	2	NA	NA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	324	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	324	4	Lemaire	Lemaire	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	324	5	ED	ED	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	324	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	324	7	Baddour	Baddour	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	324	8	N.	N.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	324	9	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	324	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	325	1	Feature	feature	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	325	2	selection	selection	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	325	3	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	325	4	wearable	wearable	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	325	5	smartphone	smartphone	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	325	6	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	325	7	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	325	8	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	325	9	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	325	10	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	325	11	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	325	12	able	able	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	325	13	bodied	bodied	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	325	14	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	325	15	elderly	elderly	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	325	16	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	325	17	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	325	18	stroke	stroke	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	325	19	patients	patient	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	325	20	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	326	1	PLOS	PLOS	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	326	2	ONE	one	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	326	3	10(4	10(4	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	326	4	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	326	5	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	326	6	e0124414	e0124414	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	326	7	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	326	8	10.1371	10.1371	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	326	9	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	326	10	journal.pone.0124414	journal.pone.0124414	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	326	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	327	1	Chen	Chen	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	327	2	Z	Z	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	327	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	327	4	Zhu	Zhu	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	327	5	Q	Q	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	327	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	327	7	Soh	Soh	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	327	8	YC	YC	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	327	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	327	10	Zhang	Zhang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	327	11	L.	L.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	327	12	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	327	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	328	1	Robust	robust	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	328	2	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	328	3	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	328	4	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	328	5	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	328	6	smartphone	smartphone	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	328	7	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	328	8	via	via	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	328	9	CT	CT	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	328	10	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	328	11	PCA	PCA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	328	12	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	328	13	online	online	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	328	14	SVM	SVM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	328	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	329	1	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	329	2	Transactions	transaction	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	329	3	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	329	4	Industrial	Industrial	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	329	5	Informatics	Informatics	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	329	6	13(6):3070	13(6):3070	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	329	7	–	–	:
work_egt7fmczgjgbpjnjxzpgy5npoy	329	8	3080	3080	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	329	9	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	329	10	10.1109	10.1109	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	329	11	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	329	12	TII.2017.2712746	TII.2017.2712746	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	329	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	330	1	Chollet	Chollet	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	330	2	F.	F.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	330	3	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	330	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	331	1	Keras	kera	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	331	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	331	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	331	4	Python	Python	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	331	5	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	331	6	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	331	7	library	library	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	331	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	332	1	Houghton	Houghton	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	332	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	332	3	Astrophysics	Astrophysics	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	332	4	Source	Source	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	332	5	Code	Code	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	332	6	Library	Library	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	332	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	333	1	Christoffersen	Christoffersen	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	333	2	P	P	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	333	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	333	4	Jacobs	Jacobs	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	333	5	K.	K.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	333	6	2004	2004	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	333	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	334	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	334	2	importance	importance	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	334	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	334	4	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	334	5	loss	loss	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	334	6	function	function	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	334	7	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	334	8	option	option	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	334	9	valuation	valuation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	334	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	335	1	Journal	Journal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	335	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	335	3	Financial	Financial	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	335	4	Economics	Economics	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	335	5	72(2):291–318	72(2):291–318	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	335	6	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	335	7	10.1016	10.1016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	335	8	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	335	9	j.jfineco.2003.02.001	j.jfineco.2003.02.001	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	335	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	336	1	Cippitelli	cippitelli	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	336	2	E	E	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	336	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	336	4	Gasparrini	Gasparrini	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	336	5	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	336	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	336	7	Gambi	Gambi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	336	8	E	E	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	336	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	336	10	Spinsante	Spinsante	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	336	11	S.	S.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	336	12	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	336	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	337	1	A	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	337	2	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	337	3	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	337	4	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	337	5	system	system	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	337	6	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	337	7	skeleton	skeleton	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	337	8	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	337	9	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	337	10	rgbd	rgbd	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	337	11	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	337	12	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	338	1	Computational	Computational	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	338	2	Intelligence	Intelligence	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	338	3	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	338	4	Neuroscience	Neuroscience	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	338	5	2016:21	2016:21	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	338	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	339	1	Concone	Concone	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	339	2	F	F	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	339	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	339	4	Re	Re	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	339	5	GL	GL	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	339	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	339	7	Morana	Morana	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	339	8	M.	M.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	339	9	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	339	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	340	1	A	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	340	2	fog	fog	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	340	3	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	340	4	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	340	5	application	application	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	340	6	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	340	7	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	340	8	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	340	9	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	340	10	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	340	11	personal	personal	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	340	12	smart	smart	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	340	13	devices	device	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	340	14	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	341	1	ACM	ACM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	341	2	Transactions	Transactions	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	341	3	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	341	4	Internet	internet	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	341	5	Technology	technology	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	341	6	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	341	7	TOIT	TOIT	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	341	8	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	341	9	19(2):1–20	19(2):1–20	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	341	10	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	341	11	10.1145/3266142	10.1145/3266142	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	341	12	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	342	1	Cook	Cook	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	342	2	DJ	DJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	342	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	342	4	Augusto	Augusto	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	342	5	JC	JC	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	342	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	342	7	Jakkula	Jakkula	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	342	8	VR	VR	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	342	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	343	1	2009	2009	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	343	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	344	1	Ambient	ambient	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	344	2	intelligence	intelligence	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	344	3	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	344	4	technologies	technology	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	344	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	344	6	applications	application	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	344	7	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	344	8	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	344	9	opportunities	opportunity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	344	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	345	1	Pervasive	pervasive	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	345	2	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	345	3	Mobile	Mobile	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	345	4	Computing	Computing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	345	5	5(4):277–298	5(4):277–298	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	345	6	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	345	7	10.1016	10.1016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	345	8	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	345	9	j.pmcj.2009.04.001	j.pmcj.2009.04.001	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	345	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	346	1	Corno	Corno	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	346	2	F	F	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	346	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	346	4	De	De	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	346	5	Russis	Russis	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	346	6	L.	L.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	346	7	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	346	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	347	1	Training	training	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	347	2	engineers	engineer	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	347	3	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	347	4	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	347	5	ambient	ambient	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	347	6	intelligence	intelligence	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	347	7	challenge	challenge	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	347	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	348	1	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	348	2	Transactions	Transactions	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	348	3	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	348	4	Education	Education	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	348	5	60(1):40–49	60(1):40–49	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	348	6	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	348	7	10.1109	10.1109	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	348	8	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	348	9	TE.2016.2608785	TE.2016.2608785	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	348	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	349	1	Cristani	Cristani	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	349	2	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	349	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	349	4	Karafili	Karafili	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	349	5	E	E	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	349	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	349	7	Tomazzoli	Tomazzoli	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	349	8	C.	C.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	349	9	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	349	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	350	1	Improving	improve	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	350	2	energy	energy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	350	3	saving	saving	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	350	4	techniques	technique	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	350	5	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	350	6	ambient	ambient	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	350	7	intelligence	intelligence	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	350	8	scheduling	scheduling	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	350	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	351	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	351	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	351	3	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	351	4	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	351	5	29th	29th	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	351	6	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	351	7	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	351	8	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	351	9	Advanced	Advanced	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	351	10	Information	Information	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	351	11	Networking	Networking	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	351	12	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	351	13	Applications	Applications	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	351	14	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	352	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	352	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	352	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	352	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	352	5	324–331	324–331	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	352	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	353	1	De	De	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	353	2	la	la	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	353	3	Concepción	Concepción	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	353	4	MÁÁ	MÁÁ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	353	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	353	6	Morillo	Morillo	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	353	7	LMS	LMS	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	353	8	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	353	9	Garca	Garca	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	353	10	JAÁ	JAÁ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	353	11	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	353	12	González	González	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	353	13	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	353	14	Abril	Abril	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	353	15	L.	L.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	353	16	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	353	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	354	1	Mobile	mobile	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	354	2	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	354	3	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	354	4	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	354	5	fall	fall	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	354	6	detection	detection	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	354	7	system	system	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	354	8	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	354	9	elderly	elderly	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	354	10	people	people	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	354	11	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	354	12	ameva	ameva	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	354	13	algorithm	algorithm	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	354	14	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	355	1	Pervasive	pervasive	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	355	2	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	355	3	Mobile	Mobile	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	355	4	Computing	Computing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	355	5	34:3–13	34:3–13	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	355	6	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	355	7	10.1016	10.1016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	355	8	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	355	9	j.pmcj.2016.05.002	j.pmcj.2016.05.002	ADD
work_egt7fmczgjgbpjnjxzpgy5npoy	355	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	356	1	Dehghani	Dehghani	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	356	2	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	356	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	356	4	Glatard	Glatard	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	356	5	T	T	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	356	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	356	7	Shihab	Shihab	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	356	8	E.	E.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	356	9	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	356	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	357	1	Subject	subject	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	357	2	cross	cross	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	357	3	validation	validation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	357	4	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	357	5	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	357	6	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	357	7	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	357	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	358	1	ArXiv	ArXiv	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	358	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	359	1	Available	available	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	359	2	at	at	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	359	3	http://arxiv.org/abs/1904.02666	http://arxiv.org/abs/1904.02666	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	359	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	360	1	Delgado	Delgado	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	360	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	360	3	Contreras	Contreras	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	360	4	JR	JR	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	360	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	360	6	Garća	Garća	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	360	7	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	360	8	Vázquez	Vázquez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	360	9	JP	JP	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	360	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	360	11	Brena	Brena	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	360	12	RF	RF	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	360	13	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	360	14	Galván	Galván	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	360	15	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	360	16	Tejada	Tejada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	360	17	CE	CE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	360	18	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	360	19	Galván	Galván	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	360	20	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	360	21	Tejada	Tejada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	360	22	JI	JI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	360	23	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	361	1	2014	2014	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	361	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	362	1	Feature	feature	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	362	2	selection	selection	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	362	3	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	362	4	place	place	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	362	5	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	362	6	through	through	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	362	7	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	362	8	sounds	sound	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	362	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	363	1	Procedia	Procedia	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	363	2	Computer	Computer	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	363	3	Science	Science	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	363	4	37:40–47	37:40–47	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	363	5	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	364	1	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	364	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	364	3	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	364	4	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	364	5	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	364	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	365	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	365	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	365	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	365	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	365	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	365	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	365	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	366	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	366	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	366	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	366	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	366	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	366	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	366	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	366	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	366	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	366	10	17/22	17/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	366	11	https://arxiv.org/abs/2004.00505	https://arxiv.org/abs/2004.00505	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	366	12	http://dx.doi.org/10.1371/journal.pone.0124414	http://dx.doi.org/10.1371/journal.pone.0124414	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	366	13	http://dx.doi.org/10.1109/TII.2017.2712746	http://dx.doi.org/10.1109/tii.2017.2712746	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	366	14	http://dx.doi.org/10.1016/j.jfineco.2003.02.001	http://dx.doi.org/10.1016/j.jfineco.2003.02.001	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	366	15	http://dx.doi.org/10.1145/3266142	http://dx.doi.org/10.1145/3266142	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	366	16	http://dx.doi.org/10.1016/j.pmcj.2009.04.001	http://dx.doi.org/10.1016/j.pmcj.2009.04.001	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	366	17	http://dx.doi.org/10.1109/TE.2016.2608785	http://dx.doi.org/10.1109/TE.2016.2608785	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	366	18	http://dx.doi.org/10.1016/j.pmcj.2016.05.002	http://dx.doi.org/10.1016/j.pmcj.2016.05.002	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	366	19	http://arxiv.org/abs/1904.02666	http://arxiv.org/abs/1904.02666	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	366	20	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	366	21	https://peerj.com/computer-science/	https://peerj.com/computer-science/	ADD
work_egt7fmczgjgbpjnjxzpgy5npoy	366	22	Dutta	Dutta	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	366	23	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	366	24	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	366	25	Gros	Gros	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	366	26	E.	E.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	366	27	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	366	28	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	367	1	Evaluation	evaluation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	367	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	367	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	367	4	impact	impact	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	367	5	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	367	6	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	367	7	learning	learning	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	367	8	architectural	architectural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	367	9	components	component	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	367	10	selection	selection	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	367	11	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	367	12	dataset	dataset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	367	13	size	size	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	367	14	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	367	15	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	367	16	medical	medical	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	367	17	imaging	imaging	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	367	18	task	task	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	367	19	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	368	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	368	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	368	3	Medical	Medical	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	368	4	Imaging	Imaging	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	368	5	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	368	6	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	368	7	Imaging	Imaging	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	368	8	Informatics	Informatics	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	368	9	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	368	10	Healthcare	Healthcare	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	368	11	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	368	12	Research	Research	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	368	13	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	368	14	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	368	15	Applications	Applications	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	368	16	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	368	17	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	368	18	Society	Society	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	368	19	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	368	20	Optics	Optics	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	368	21	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	368	22	Photonics	Photonics	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	368	23	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	368	24	10579:1057911	10579:1057911	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	368	25	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	369	1	Fatima	Fatima	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	369	2	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	369	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	369	4	Pasha	Pasha	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	369	5	M.	M.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	369	6	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	369	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	370	1	Survey	survey	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	370	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	370	3	machine	machine	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	370	4	learning	learn	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	370	5	algorithms	algorithm	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	370	6	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	370	7	disease	disease	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	370	8	diagnostic	diagnostic	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	370	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	371	1	Journal	Journal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	371	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	371	3	Intelligent	Intelligent	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	371	4	Learning	Learning	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	371	5	Systems	Systems	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	371	6	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	371	7	Applications	Applications	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	371	8	9(1):1–16	9(1):1–16	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	371	9	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	371	10	10.4236	10.4236	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	371	11	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	371	12	jilsa.2017.91001	jilsa.2017.91001	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	371	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	372	1	Galván	Galván	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	372	3	Tejada	Tejada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	4	CE	CE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	372	6	Galván	Galván	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	7	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	372	8	Tejada	Tejada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	9	JI	JI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	372	11	Celaya	Celaya	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	12	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	372	13	Padilla	Padilla	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	14	JM	JM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	372	16	Delgado	Delgado	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	17	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	372	18	Contreras	Contreras	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	19	JR	JR	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	20	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	372	21	Magallanes	Magallanes	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	22	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	372	23	Quintanar	Quintanar	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	24	R	R	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	25	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	372	26	Martinez	Martinez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	27	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	372	28	Fierro	Fierro	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	29	ML	ML	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	30	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	372	31	Garza	Garza	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	32	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	372	33	Veloz	Veloz	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	34	I	I	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	35	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	372	36	López	López	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	37	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	372	38	Hernández	Hernández	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	39	Y	Y	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	40	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	372	41	Gamboa	Gamboa	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	42	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	372	43	Rosales	Rosales	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	44	H.	H.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	372	45	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	372	46	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	373	1	An	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	373	2	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	373	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	373	4	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	373	5	features	feature	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	373	6	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	373	7	develop	develop	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	373	8	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	373	9	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	373	10	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	373	11	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	373	12	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	373	13	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	373	14	genetic	genetic	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	373	15	algorithms	algorithm	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	373	16	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	373	17	random	random	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	373	18	forests	forest	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	373	19	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	373	20	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	373	21	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	373	22	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	373	23	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	374	1	Mobile	Mobile	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	374	2	Information	Information	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	374	3	Systems	Systems	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	374	4	2016:1784101	2016:1784101	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	374	5	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	374	6	10.1155/2016/1784101	10.1155/2016/1784101	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	374	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	375	1	Garca	Garca	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	375	3	Dominguez	Dominguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	4	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	375	6	Galván	Galván	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	7	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	375	8	Tejada	Tejada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	9	CE	CE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	375	11	Zanella	Zanella	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	12	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	375	13	Calzada	Calzada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	14	LA	LA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	375	16	Gamboa	Gamboa	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	17	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	375	18	Rosales	Rosales	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	19	H	H	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	20	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	375	21	Galván	Galván	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	22	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	375	23	Tejada	Tejada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	24	JI	JI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	25	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	375	26	Celaya	Celaya	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	27	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	375	28	Padilla	Padilla	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	29	JM	JM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	30	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	375	31	Luna	Luna	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	32	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	375	33	Garca	Garca	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	34	H	H	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	35	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	375	36	Magallanes	Magallanes	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	37	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	375	38	Quintanar	Quintanar	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	39	R.	R.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	375	40	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	375	41	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	376	1	Feature	feature	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	376	2	selection	selection	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	376	3	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	376	4	genetic	genetic	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	376	5	algorithms	algorithm	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	376	6	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	376	7	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	376	8	generation	generation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	376	9	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	376	10	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	376	11	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	376	12	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	376	13	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	376	14	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	376	15	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	376	16	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	376	17	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	376	18	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	376	19	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	376	20	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	376	21	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	377	1	Mobile	Mobile	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	377	2	Information	Information	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	377	3	Systems	Systems	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	377	4	2020:8617430	2020:8617430	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	377	5	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	377	6	10.1155/2020/8617430	10.1155/2020/8617430	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	377	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	378	1	Garca	Garca	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	378	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	378	3	Domnguez	Domnguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	378	4	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	378	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	378	6	Zanella	Zanella	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	378	7	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	378	8	Calzada	Calzada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	378	9	LA	LA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	378	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	378	11	Galván	Galván	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	378	12	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	378	13	Tejada	Tejada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	378	14	CE	CE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	378	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	378	16	Galván	Galván	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	378	17	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	378	18	Tejada	Tejada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	378	19	JI	JI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	378	20	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	378	21	Celaya	Celaya	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	378	22	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	378	23	Padilla	Padilla	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	378	24	JM	JM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	378	25	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	379	1	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	379	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	380	1	Evaluation	evaluation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	380	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	380	3	five	five	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	380	4	classifiers	classifier	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	380	5	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	380	6	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	380	7	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	380	8	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	380	9	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	380	10	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	380	11	as	as	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	380	12	information	information	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	380	13	source	source	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	380	14	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	380	15	akaike	akaike	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	380	16	criterion	criterion	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	380	17	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	380	18	feature	feature	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	380	19	selection	selection	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	380	20	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	381	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	381	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	381	3	Mexican	Mexican	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	381	4	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	381	5	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	381	6	Pattern	Pattern	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	381	7	Recognition	Recognition	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	381	8	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	381	9	Berlin	Berlin	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	381	10	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	381	11	Springer	Springer	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	381	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	381	13	398–407	398–407	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	381	14	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	382	1	Gupta	Gupta	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	382	2	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	382	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	382	4	Pandey	Pandey	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	382	5	OJ	OJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	382	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	382	7	Shukla	Shukla	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	382	8	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	382	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	382	10	Dadhich	Dadhich	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	382	11	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	382	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	382	13	Ingle	Ingle	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	382	14	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	382	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	382	16	Gawande	Gawande	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	382	17	P.	P.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	382	18	2014	2014	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	382	19	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	383	1	Towards	towards	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	383	2	context	context	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	383	3	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	383	4	aware	aware	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	383	5	smart	smart	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	383	6	mechatronics	mechatronic	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	383	7	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	383	8	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	383	9	integrating	integrate	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	383	10	swarm	swarm	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	383	11	intelligence	intelligence	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	383	12	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	383	13	ambient	ambient	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	383	14	intelligence	intelligence	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	383	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	384	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	384	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	384	3	2014	2014	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	384	4	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	384	5	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	384	6	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	384	7	Issues	Issues	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	384	8	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	384	9	Challenges	Challenges	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	384	10	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	384	11	Intelligent	intelligent	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	384	12	Computing	Computing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	384	13	Techniques	Techniques	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	384	14	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	384	15	ICICT	ICICT	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	384	16	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	384	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	385	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	385	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	385	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	385	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	385	5	64–69	64–69	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	385	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	386	1	Hammerla	Hammerla	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	386	2	NY	NY	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	386	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	386	4	Halloran	Halloran	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	386	5	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	386	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	386	7	Plötz	Plötz	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	386	8	T.	T.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	386	9	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	386	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	387	1	Deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	387	2	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	387	3	convolutional	convolutional	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	387	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	387	5	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	387	6	recurrent	recurrent	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	387	7	models	model	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	387	8	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	387	9	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	387	10	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	387	11	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	387	12	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	387	13	wearables	wearable	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	387	14	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	388	1	Available	available	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	388	2	at	at	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	388	3	https://arxiv.org/abs/1604.08880	https://arxiv.org/abs/1604.08880	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	388	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	389	1	Hassan	Hassan	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	389	2	MM	MM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	389	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	389	4	Uddin	Uddin	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	389	5	MZ	MZ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	389	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	389	7	Mohamed	Mohamed	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	389	8	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	389	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	389	10	Almogren	Almogren	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	389	11	A.	a.	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	390	1	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	390	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	391	1	A	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	391	2	robust	robust	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	391	3	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	391	4	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	391	5	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	391	6	system	system	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	391	7	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	391	8	smartphone	smartphone	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	391	9	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	391	10	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	391	11	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	391	12	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	391	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	392	1	Future	Future	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	392	2	Generation	Generation	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	392	3	Computer	Computer	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	392	4	Systems	Systems	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	392	5	81:307–313	81:307–313	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	392	6	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	392	7	10.1016	10.1016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	392	8	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	392	9	j.future.2017.11.029	j.future.2017.11.029	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	392	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	393	1	Hershey	Hershey	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	2	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	393	4	Chaudhuri	Chaudhuri	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	5	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	393	7	Ellis	Ellis	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	8	DP	DP	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	393	10	Gemmeke	Gemmeke	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	11	JF	JF	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	393	13	Jansen	Jansen	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	14	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	393	16	Moore	Moore	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	17	RC	RC	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	18	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	393	19	Plakal	Plakal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	20	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	21	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	393	22	Platt	Platt	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	23	D	D	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	24	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	393	25	Saurous	saurous	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	393	26	RA	RA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	27	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	393	28	Seybold	Seybold	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	29	B	B	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	30	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	393	31	Slaney	Slaney	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	32	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	33	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	393	34	Weiss	Weiss	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	35	RJ	RJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	36	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	393	37	Wilson	Wilson	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	38	K.	K.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	393	39	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	393	40	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	394	1	Cnn	Cnn	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	394	2	architectures	architecture	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	394	3	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	394	4	large	large	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	394	5	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	394	6	scale	scale	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	394	7	audio	audio	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	394	8	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	394	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	395	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	395	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	395	3	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	395	4	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	395	5	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	395	6	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	395	7	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	395	8	Acoustics	Acoustics	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	395	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	395	10	Speech	Speech	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	395	11	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	395	12	Signal	Signal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	395	13	Processing	Processing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	395	14	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	395	15	ICASSP	ICASSP	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	395	16	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	395	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	396	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	396	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	396	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	396	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	396	5	131–135	131–135	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	396	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	397	1	Hoy	Hoy	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	397	2	MB	mb	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	397	3	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	398	1	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	398	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	399	1	Alexa	Alexa	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	399	2	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	399	3	siri	siri	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	399	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	399	5	cortana	cortana	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	399	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	399	7	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	399	8	more	more	JJR
work_egt7fmczgjgbpjnjxzpgy5npoy	399	9	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	399	10	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	399	11	introduction	introduction	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	399	12	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	399	13	voice	voice	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	399	14	assistants	assistant	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	399	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	400	1	Medical	Medical	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	400	2	Reference	Reference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	400	3	Services	Services	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	400	4	Quarterly	Quarterly	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	400	5	37(1):81–88	37(1):81–88	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	400	6	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	400	7	10.1080/02763869.2018.1404391	10.1080/02763869.2018.1404391	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	400	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	401	1	Hu	Hu	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	401	2	L	L	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	401	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	401	4	Ni	Ni	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	401	5	Q.	Q.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	402	1	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	402	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	403	1	Iot	Iot	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	403	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	403	3	driven	drive	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	403	4	automated	automate	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	403	5	object	object	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	403	6	detection	detection	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	403	7	algorithm	algorithm	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	403	8	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	403	9	urban	urban	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	403	10	surveillance	surveillance	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	403	11	systems	system	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	403	12	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	403	13	smart	smart	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	403	14	cities	city	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	403	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	404	1	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	404	2	Internet	internet	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	404	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	404	4	Things	Things	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	404	5	Journal	Journal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	404	6	5(2):747–754	5(2):747–754	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	404	7	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	404	8	10.1109	10.1109	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	404	9	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	404	10	JIOT.2017.2705560	JIOT.2017.2705560	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	404	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	405	1	Ignatov	Ignatov	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	405	2	A.	a.	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	406	1	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	406	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	407	1	Real	real	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	407	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	407	3	time	time	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	407	4	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	407	5	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	407	6	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	407	7	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	407	8	accelerometer	accelerometer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	407	9	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	407	10	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	407	11	convolutional	convolutional	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	407	12	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	407	13	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	407	14	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	408	1	Applied	Applied	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	408	2	Soft	Soft	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	408	3	Computing	Computing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	408	4	62:915–922	62:915–922	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	408	5	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	408	6	10.1016	10.1016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	408	7	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	408	8	j.asoc.2017.09.027	j.asoc.2017.09.027	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	408	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	409	1	Jiang	Jiang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	409	2	W	W	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	409	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	409	4	Yin	Yin	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	409	5	Z.	Z.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	410	1	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	410	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	411	1	Human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	411	2	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	411	3	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	411	4	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	411	5	wearable	wearable	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	411	6	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	411	7	by	by	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	411	8	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	411	9	convolutional	convolutional	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	411	10	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	411	11	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	411	12	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	412	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	412	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	412	3	Proceedings	proceeding	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	412	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	412	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	412	6	23rd	23rd	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	412	7	ACM	ACM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	412	8	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	412	9	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	412	10	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	412	11	Multimedia	Multimedia	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	412	12	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	413	1	New	New	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	413	2	York	York	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	413	3	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	413	4	ACM	ACM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	413	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	413	6	1307–1310	1307–1310	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	413	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	414	1	Jordan	Jordan	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	414	2	MI	MI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	414	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	414	4	Mitchell	Mitchell	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	414	5	TM	TM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	414	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	415	1	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	415	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	416	1	Machine	machine	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	416	2	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	416	3	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	416	4	trends	trend	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	416	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	416	6	perspectives	perspective	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	416	7	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	416	8	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	416	9	prospects	prospect	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	416	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	417	1	Science	Science	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	417	2	349(6245):255–260	349(6245):255–260	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	417	3	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	417	4	10.1126	10.1126	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	417	5	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	417	6	science.aaa8415	science.aaa8415	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	417	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	418	1	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	418	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	418	3	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	418	4	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	418	5	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	418	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	419	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	419	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	419	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	419	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	419	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	419	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	419	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	420	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	420	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	420	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	420	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	420	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	10	18/22	18/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	420	11	http://dx.doi.org/10.4236/jilsa.2017.91001	http://dx.doi.org/10.4236/jilsa.2017.91001	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	12	http://dx.doi.org/10.1155/2016/1784101	http://dx.doi.org/10.1155/2016/1784101	ADD
work_egt7fmczgjgbpjnjxzpgy5npoy	420	13	http://dx.doi.org/10.1155/2020/8617430	http://dx.doi.org/10.1155/2020/8617430	ADD
work_egt7fmczgjgbpjnjxzpgy5npoy	420	14	https://arxiv.org/abs/1604.08880	https://arxiv.org/abs/1604.08880	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	15	http://dx.doi.org/10.1016/j.future.2017.11.029	http://dx.doi.org/10.1016/j.future.2017.11.029	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	420	16	http://dx.doi.org/10.1080/02763869.2018.1404391	http://dx.doi.org/10.1080/02763869.2018.1404391	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	420	17	http://dx.doi.org/10.1109/JIOT.2017.2705560	http://dx.doi.org/10.1109/jiot.2017.2705560	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	18	http://dx.doi.org/10.1016/j.asoc.2017.09.027	http://dx.doi.org/10.1016/j.asoc.2017.09.027	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	19	http://dx.doi.org/10.1126/science.aaa8415	http://dx.doi.org/10.1126/science.aaa8415	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	20	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	21	https://peerj.com/computer-science/	https://peerj.com/computer-science/	ADD
work_egt7fmczgjgbpjnjxzpgy5npoy	420	22	Jordao	Jordao	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	23	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	24	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	420	25	Nazare	Nazare	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	26	AC	AC	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	27	Jr	Jr	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	28	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	420	29	Sena	Sena	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	30	J	J	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	31	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	420	32	Schwartz	Schwartz	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	33	WR	WR	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	420	34	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	421	1	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	421	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	422	1	Human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	422	2	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	422	3	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	422	4	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	422	5	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	422	6	wearable	wearable	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	422	7	sensor	sensor	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	422	8	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	422	9	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	422	10	A	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	422	11	standardization	standardization	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	422	12	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	422	13	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	422	14	state	state	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	422	15	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	422	16	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	422	17	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	422	18	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	422	19	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	422	20	art	art	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	422	21	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	423	1	ArXiv	ArXiv	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	423	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	424	1	Available	available	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	424	2	at	at	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	424	3	https://arxiv.org/abs/1806.05226	https://arxiv.org/abs/1806.05226	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	424	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	425	1	Karlik	Karlik	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	425	2	B	B	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	425	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	425	4	Olgac	Olgac	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	425	5	AV	av	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	425	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	426	1	2011	2011	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	426	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	427	1	Performance	performance	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	427	2	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	427	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	427	4	various	various	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	427	5	activation	activation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	427	6	functions	function	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	427	7	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	427	8	generalized	generalized	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	427	9	mlp	mlp	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	427	10	architectures	architecture	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	427	11	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	427	12	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	427	13	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	427	14	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	428	1	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	428	2	Journal	Journal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	428	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	428	4	Artificial	Artificial	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	428	5	Intelligence	Intelligence	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	428	6	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	428	7	Expert	Expert	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	428	8	Systems	Systems	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	428	9	1(4):111–122	1(4):111–122	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	428	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	429	1	Kepuska	Kepuska	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	429	2	V	V	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	429	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	429	4	Bohouta	Bohouta	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	429	5	G.	G.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	429	6	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	429	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	430	1	Next	next	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	430	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	430	3	generation	generation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	430	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	430	5	virtual	virtual	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	430	6	personal	personal	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	430	7	assistants	assistant	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	430	8	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	430	9	microsoft	microsoft	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	430	10	cortana	cortana	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	430	11	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	430	12	apple	apple	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	430	13	siri	siri	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	430	14	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	430	15	amazon	amazon	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	430	16	alexa	alexa	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	430	17	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	430	18	google	google	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	430	19	home	home	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	430	20	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	430	21	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	431	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	431	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	431	3	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	431	4	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	431	5	8th	8th	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	431	6	Annual	Annual	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	431	7	Computing	Computing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	431	8	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	431	9	Communication	Communication	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	431	10	Workshop	Workshop	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	431	11	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	431	12	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	431	13	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	431	14	CCWC	CCWC	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	431	15	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	431	16	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	432	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	432	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	432	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	432	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	432	5	99–103	99–103	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	432	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	433	1	Keras	Keras	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	433	2	Team	Team	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	433	3	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	434	1	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	434	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	435	1	Keras	Keras	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	435	2	documentation	documentation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	435	3	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	435	4	Adam	Adam	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	435	5	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	436	1	Available	available	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	436	2	at	at	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	436	3	https://keras.io/api/optimizers/adam/	https://keras.io/api/optimizers/adam/	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	436	4	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	436	5	accessed	access	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	436	6	8	8	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	436	7	September	September	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	436	8	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	436	9	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	436	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	437	1	Ketkar	Ketkar	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	437	2	N.	N.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	437	3	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	437	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	438	1	Introduction	introduction	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	438	2	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	438	3	Keras	Keras	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	438	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	439	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	439	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	439	3	Deep	Deep	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	439	4	Learning	Learning	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	439	5	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	439	6	Python	Python	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	439	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	440	1	Berlin	Berlin	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	440	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	440	3	Springer	Springer	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	440	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	440	5	97–111	97–111	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	440	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	441	1	Kia	Kia	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	441	2	MB	MB	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	441	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	441	4	Pirasteh	Pirasteh	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	441	5	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	441	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	441	7	Pradhan	Pradhan	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	441	8	B	B	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	441	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	441	10	Mahmud	Mahmud	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	441	11	AR	AR	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	441	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	441	13	Sulaiman	Sulaiman	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	441	14	WNA	WNA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	441	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	441	16	Moradi	Moradi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	441	17	A.	a.	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	442	1	2012	2012	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	442	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	443	1	An	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	443	2	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	443	3	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	443	4	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	443	5	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	443	6	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	443	7	flood	flood	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	443	8	simulation	simulation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	443	9	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	443	10	gis	gis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	443	11	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	443	12	Johor	Johor	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	443	13	river	river	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	443	14	basin	basin	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	443	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	443	16	Malaysia	Malaysia	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	443	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	444	1	Environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	444	2	Earth	Earth	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	444	3	Sciences	Sciences	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	444	4	67(1):251–264	67(1):251–264	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	444	5	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	444	6	10.1007	10.1007	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	444	7	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	444	8	s12665	s12665	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	444	9	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	444	10	011	011	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	444	11	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	444	12	1504-z	1504-z	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	444	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	445	1	Kingma	Kingma	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	445	2	DP	DP	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	445	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	445	4	Ba	Ba	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	445	5	J.	J.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	446	1	2014	2014	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	446	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	447	1	Adam	Adam	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	447	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	447	3	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	447	4	method	method	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	447	5	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	447	6	stochastic	stochastic	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	447	7	optimization	optimization	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	447	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	448	1	ArXiv	ArXiv	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	448	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	449	1	Available	available	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	449	2	at	at	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	449	3	https://arxiv.org/abs/1412.6980	https://arxiv.org/abs/1412.6980	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	449	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	450	1	Koidl	Koidl	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	450	2	K.	K.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	450	3	2013	2013	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	450	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	451	1	Loss	loss	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	451	2	functions	function	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	451	3	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	451	4	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	451	5	tasks	task	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	451	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	452	1	Dublin	Dublin	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	452	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	452	3	School	School	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	452	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	452	5	Computer	Computer	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	452	6	Science	Science	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	452	7	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	452	8	Statistic	Statistic	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	452	9	Trinity	Trinity	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	452	10	College	College	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	452	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	453	1	Kurashima	Kurashima	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	453	2	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	453	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	453	4	Suzuki	Suzuki	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	453	5	S.	S.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	453	6	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	453	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	454	1	Improvement	improvement	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	454	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	454	3	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	454	4	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	454	5	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	454	6	child	child	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	454	7	growth	growth	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	454	8	monitoring	monitoring	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	454	9	system	system	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	454	10	at	at	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	454	11	kindergarten	kindergarten	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	454	12	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	455	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	455	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	455	3	IECON	IECON	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	455	4	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	455	5	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	455	6	41st	41st	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	455	7	Annual	Annual	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	455	8	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	455	9	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	455	10	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	455	11	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	455	12	Industrial	Industrial	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	455	13	Electronics	Electronics	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	455	14	Society	Society	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	455	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	456	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	456	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	456	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	456	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	456	5	002596–002601	002596–002601	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	456	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	457	1	Lee	Lee	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	457	2	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	457	3	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	457	4	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	457	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	457	6	Yoon	Yoon	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	457	7	SM	SM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	457	8	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	457	9	Cho	Cho	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	457	10	H.	H.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	457	11	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	457	12	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	458	1	Human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	458	2	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	458	3	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	458	4	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	458	5	accelerometer	accelerometer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	458	6	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	458	7	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	458	8	convolutional	convolutional	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	458	9	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	458	10	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	458	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	459	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	459	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	459	3	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	459	4	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	459	5	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	459	6	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	459	7	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	459	8	Big	Big	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	459	9	Data	Data	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	459	10	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	459	11	Smart	Smart	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	459	12	Computing	Computing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	459	13	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	459	14	BigComp	BigComp	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	459	15	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	459	16	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	460	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	460	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	460	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	460	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	460	5	131–134	131–134	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	460	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	461	1	Li	Li	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	461	2	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	461	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	461	4	Da	Da	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	461	5	Xu	Xu	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	461	6	L	L	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	461	7	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	461	8	Zhao	Zhao	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	461	9	S.	S.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	461	10	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	461	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	462	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	462	2	internet	internet	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	462	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	462	4	things	thing	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	462	5	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	462	6	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	462	7	survey	survey	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	462	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	463	1	Information	Information	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	463	2	Systems	Systems	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	463	3	Frontiers	frontier	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	463	4	17(2):243–259	17(2):243–259	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	463	5	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	463	6	10.1007	10.1007	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	463	7	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	463	8	s10796	s10796	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	463	9	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	463	10	014	014	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	463	11	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	463	12	9492	9492	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	463	13	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	463	14	7	7	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	463	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	464	1	Li	Li	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	464	2	X	X	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	464	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	464	4	Zhang	Zhang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	464	5	Y	Y	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	464	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	464	7	Marsic	Marsic	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	464	8	I	I	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	464	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	464	10	Sarcevic	Sarcevic	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	464	11	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	464	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	464	13	Burd	Burd	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	464	14	RS	RS	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	464	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	465	1	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	465	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	466	1	Deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	466	2	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	466	3	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	466	4	rfid	rfid	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	466	5	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	466	6	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	466	7	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	466	8	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	466	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	467	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	467	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	467	3	Proceedings	proceeding	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	467	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	467	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	467	6	14th	14th	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	467	7	ACM	ACM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	467	8	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	467	9	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	467	10	Embedded	Embedded	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	467	11	Network	Network	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	467	12	Sensor	Sensor	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	467	13	Systems	Systems	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	467	14	CD	CD	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	467	15	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	467	16	ROM	rom	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	467	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	468	1	New	New	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	468	2	York	York	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	468	3	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	468	4	ACM	ACM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	468	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	468	6	164–175	164–175	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	468	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	469	1	Liang	Liang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	469	2	D	D	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	469	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	469	4	Thomaz	Thomaz	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	469	5	E.	E.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	469	6	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	469	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	470	1	Audio	audio	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	470	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	470	3	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	470	4	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	470	5	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	470	6	daily	daily	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	470	7	living	living	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	470	8	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	470	9	adl	adl	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	470	10	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	470	11	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	470	12	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	470	13	large	large	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	470	14	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	470	15	scale	scale	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	470	16	acoustic	acoustic	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	470	17	embeddings	embedding	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	470	18	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	470	19	online	online	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	470	20	videos	video	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	470	21	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	471	1	Proceedings	proceeding	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	471	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	471	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	471	4	ACM	ACM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	471	5	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	471	6	Interactive	Interactive	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	471	7	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	471	8	Mobile	Mobile	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	471	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	471	10	Wearable	Wearable	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	471	11	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	471	12	Ubiquitous	Ubiquitous	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	471	13	Technologies	Technologies	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	471	14	3(1):17–18	3(1):17–18	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	471	15	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	471	16	10.1145/3314404	10.1145/3314404	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	471	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	472	1	Liu	Liu	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	472	2	W	W	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	472	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	472	4	Wen	Wen	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	472	5	Y	Y	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	472	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	472	7	Yu	Yu	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	472	8	Z	Z	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	472	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	472	10	Yang	Yang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	472	11	M.	M.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	472	12	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	472	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	473	1	Large	large	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	473	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	473	3	margin	margin	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	473	4	softmax	softmax	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	473	5	loss	loss	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	473	6	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	473	7	convolutional	convolutional	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	473	8	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	473	9	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	473	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	474	1	ICML	ICML	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	474	2	2:7	2:7	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	474	3	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	475	1	Lloret	Lloret	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	475	2	J	J	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	475	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	475	4	Canovas	Canovas	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	475	5	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	475	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	475	7	Sendra	Sendra	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	475	8	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	475	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	475	10	Parra	Parra	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	475	11	L.	L.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	475	12	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	475	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	476	1	A	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	476	2	smart	smart	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	476	3	communication	communication	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	476	4	architecture	architecture	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	476	5	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	476	6	ambient	ambient	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	476	7	assisted	assist	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	476	8	living	living	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	476	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	477	1	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	477	2	Communications	Communications	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	477	3	Magazine	Magazine	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	477	4	53(1):26–33	53(1):26–33	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	477	5	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	477	6	10.1109	10.1109	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	477	7	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	477	8	MCOM.2015.7010512	MCOM.2015.7010512	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	477	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	478	1	López	López	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	478	2	G	G	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	478	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	478	4	Quesada	Quesada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	478	5	L	L	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	478	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	478	7	Guerrero	Guerrero	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	478	8	LA	LA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	478	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	479	1	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	479	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	480	1	Alexa	Alexa	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	480	2	vs.	vs.	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	480	3	Siri	Siri	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	480	4	vs.	vs.	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	480	5	Cortana	Cortana	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	480	6	vs.	vs.	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	480	7	Google	Google	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	480	8	Assistant	Assistant	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	480	9	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	480	10	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	480	11	comparison	comparison	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	480	12	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	480	13	speech	speech	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	480	14	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	480	15	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	480	16	natural	natural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	480	17	user	user	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	480	18	interfaces	interface	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	480	19	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	481	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	481	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	481	3	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	481	4	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	481	5	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	481	6	Applied	Applied	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	481	7	Human	Human	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	481	8	Factors	Factors	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	481	9	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	481	10	Ergonomics	Ergonomics	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	481	11	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	481	12	Berlin	Berlin	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	481	13	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	481	14	Springer	Springer	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	481	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	481	16	241–250	241–250	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	481	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	482	1	Lu	Lu	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	482	2	H	H	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	482	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	482	4	Zhang	Zhang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	482	5	H	H	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	482	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	482	7	Nayak	Nayak	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	482	8	A.	A.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	483	1	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	483	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	484	1	A	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	484	2	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	484	3	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	484	4	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	484	5	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	484	6	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	484	7	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	484	8	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	484	9	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	484	10	classifier	classifier	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	484	11	attention	attention	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	484	12	mechanism	mechanism	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	484	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	485	1	ArXiv	ArXiv	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	485	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	486	1	Available	available	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	486	2	at	at	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	486	3	https://arxiv.org/abs/2006.09815	https://arxiv.org/abs/2006.09815	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	486	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	487	1	Lubina	Lubina	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	487	2	P	P	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	487	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	487	4	Rudzki	Rudzki	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	487	5	M.	M.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	487	6	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	487	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	488	1	Artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	488	2	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	488	3	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	488	4	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	488	5	accelerometer	accelerometer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	488	6	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	488	7	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	488	8	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	488	9	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	488	10	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	488	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	489	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	489	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	489	3	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	489	4	22nd	22nd	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	489	5	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	489	6	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	489	7	Mixed	Mixed	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	489	8	Design	Design	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	489	9	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	489	10	Integrated	Integrated	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	489	11	Circuits	Circuits	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	489	12	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	489	13	Systems	Systems	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	489	14	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	489	15	MIXDES	MIXDES	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	489	16	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	489	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	490	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	490	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	490	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	490	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	490	5	63–68	63–68	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	490	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	491	1	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	491	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	491	3	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	491	4	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	491	5	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	491	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	492	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	492	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	492	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	492	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	492	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	492	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	492	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	493	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	493	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	493	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	493	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	493	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	493	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	493	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	493	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	493	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	493	10	19/22	19/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	493	11	https://arxiv.org/abs/1806.05226	https://arxiv.org/abs/1806.05226	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	493	12	https://keras.io/api/optimizers/adam/	https://keras.io/api/optimizers/adam/	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	493	13	http://dx.doi.org/10.1007/s12665-011-1504-z	http://dx.doi.org/10.1007/s12665-011-1504-z	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	493	14	https://arxiv.org/abs/1412.6980	https://arxiv.org/abs/1412.6980	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	493	15	http://dx.doi.org/10.1007/s10796-014-9492-7	http://dx.doi.org/10.1007/s10796-014-9492-7	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	493	16	http://dx.doi.org/10.1145/3314404	http://dx.doi.org/10.1145/3314404	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	493	17	http://dx.doi.org/10.1109/MCOM.2015.7010512	http://dx.doi.org/10.1109/MCOM.2015.7010512	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	493	18	https://arxiv.org/abs/2006.09815	https://arxiv.org/abs/2006.09815	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	493	19	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	493	20	https://peerj.com/computer-science/	https://peerj.com/computer-science/	,
work_egt7fmczgjgbpjnjxzpgy5npoy	493	21	Lyu	Lyu	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	493	22	L	L	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	493	23	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	493	24	He	-PRON-	PRP
work_egt7fmczgjgbpjnjxzpgy5npoy	493	25	X	X	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	493	26	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	493	27	Law	Law	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	493	28	YW	YW	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	493	29	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	493	30	Palaniswami	Palaniswami	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	493	31	M.	M.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	493	32	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	493	33	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	494	1	Privacy	privacy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	494	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	494	3	preserving	preserve	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	494	4	collaborative	collaborative	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	494	5	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	494	6	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	494	7	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	494	8	application	application	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	494	9	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	494	10	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	494	11	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	494	12	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	494	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	495	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	495	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	495	3	Proceedings	proceeding	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	495	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	495	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	495	6	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	495	7	ACM	ACM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	495	8	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	495	9	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	495	10	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	495	11	Information	Information	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	495	12	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	495	13	Knowledge	Knowledge	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	495	14	Management	Management	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	495	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	496	1	New	New	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	496	2	York	York	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	496	3	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	496	4	ACM	ACM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	496	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	496	6	1219–1228	1219–1228	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	496	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	497	1	Mannini	Mannini	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	497	2	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	497	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	497	4	Rosenberger	Rosenberger	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	497	5	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	497	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	497	7	Haskell	Haskell	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	497	8	WL	WL	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	497	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	497	10	Sabatini	Sabatini	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	497	11	AM	am	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	497	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	497	13	Intille	Intille	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	497	14	SS	SS	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	497	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	498	1	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	498	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	499	1	Activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	499	2	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	499	3	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	499	4	youth	youth	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	499	5	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	499	6	single	single	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	499	7	accelerometer	accelerometer	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	499	8	placed	place	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	499	9	at	at	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	499	10	wrist	wrist	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	499	11	or	or	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	499	12	ankle	ankle	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	499	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	500	1	Medicine	Medicine	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	500	2	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	500	3	Science	Science	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	500	4	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	500	5	Sports	Sports	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	500	6	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	500	7	Exercise	Exercise	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	500	8	49(4):801–812	49(4):801–812	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	500	9	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	500	10	10.1249	10.1249	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	500	11	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	500	12	MSS.0000000000001144	MSS.0000000000001144	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	500	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	501	1	Mascia	Mascia	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	501	2	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	501	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	501	4	Canclini	Canclini	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	501	5	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	501	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	501	7	Antonacci	Antonacci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	501	8	F	F	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	501	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	501	10	Tagliasacchi	Tagliasacchi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	501	11	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	501	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	501	13	Sarti	Sarti	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	501	14	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	501	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	501	16	Tubaro	Tubaro	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	501	17	S.	S.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	501	18	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	501	19	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	502	1	Forensic	forensic	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	502	2	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	502	3	anti-	anti-	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	502	4	forensic	forensic	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	502	5	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	502	6	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	502	7	indoor	indoor	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	502	8	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	502	9	outdoor	outdoor	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	502	10	classifiers	classifier	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	502	11	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	502	12	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	502	13	acoustic	acoustic	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	502	14	clues	clue	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	502	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	503	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	503	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	503	3	23rd	23rd	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	503	4	European	European	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	503	5	Signal	Signal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	503	6	Processing	Processing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	503	7	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	503	8	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	503	9	EUSIPCO	EUSIPCO	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	503	10	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	503	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	504	1	Memon	Memon	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	504	2	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	504	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	504	4	Wagner	Wagner	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	504	5	SR	SR	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	504	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	504	7	Pedersen	Pedersen	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	504	8	CF	CF	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	504	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	504	10	Beevi	Beevi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	504	11	FHA	FHA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	504	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	504	13	Hansen	Hansen	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	504	14	FO	FO	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	504	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	505	1	2014	2014	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	505	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	506	1	Ambient	ambient	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	506	2	assisted	assist	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	506	3	living	live	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	506	4	healthcare	healthcare	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	506	5	frameworks	framework	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	506	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	506	7	platforms	platform	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	506	8	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	506	9	standards	standard	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	506	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	506	11	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	506	12	quality	quality	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	506	13	attributes	attribute	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	506	14	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	507	1	Sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	507	2	14(3):4312–4341	14(3):4312–4341	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	507	3	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	507	4	10.3390	10.3390	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	507	5	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	507	6	s140304312	s140304312	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	507	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	508	1	Monteiro	Monteiro	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	508	2	J	J	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	508	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	508	4	Granada	Granada	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	508	5	R	R	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	508	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	508	7	Barros	Barros	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	508	8	RC	RC	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	508	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	508	10	Meneguzzi	Meneguzzi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	508	11	F.	F.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	508	12	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	508	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	509	1	Deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	509	2	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	509	3	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	509	4	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	509	5	kitchen	kitchen	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	509	6	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	509	7	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	509	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	510	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	510	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	510	3	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	510	4	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	510	5	Joint	Joint	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	510	6	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	510	7	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	510	8	Neural	Neural	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	510	9	Networks	Networks	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	510	10	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	510	11	IJCNN	IJCNN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	510	12	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	510	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	511	1	Murad	Murad	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	511	2	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	511	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	511	4	Pyun	Pyun	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	511	5	J	J	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	511	6	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	511	7	Y.	Y.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	512	1	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	512	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	513	1	Deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	513	2	recurrent	recurrent	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	513	3	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	513	4	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	513	5	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	513	6	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	513	7	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	513	8	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	513	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	514	1	Sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	514	2	17(11):2556	17(11):2556	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	514	3	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	514	4	10.3390	10.3390	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	514	5	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	514	6	s17112556	s17112556	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	514	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	515	1	Myo	Myo	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	515	2	WW	WW	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	515	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	515	4	Wettayaprasit	Wettayaprasit	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	515	5	W	W	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	515	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	515	7	Aiyarak	Aiyarak	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	515	8	P.	P.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	515	9	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	515	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	516	1	Designing	designing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	516	2	classifier	classifier	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	516	3	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	516	4	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	516	5	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	516	6	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	516	7	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	516	8	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	516	9	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	516	10	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	516	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	517	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	517	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	517	3	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	517	4	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	517	5	4th	4th	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	517	6	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	517	7	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	517	8	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	517	9	Computer	Computer	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	517	10	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	517	11	Communication	Communication	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	517	12	Systems	Systems	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	517	13	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	517	14	ICCCS	ICCCS	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	517	15	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	517	16	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	518	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	518	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	518	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	518	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	518	5	81–85	81–85	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	518	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	519	1	Nikam	Nikam	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	519	2	SS	SS	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	519	3	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	520	1	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	520	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	521	1	A	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	521	2	comparative	comparative	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	521	3	study	study	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	521	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	521	5	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	521	6	techniques	technique	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	521	7	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	521	8	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	521	9	mining	mining	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	521	10	algorithms	algorithm	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	521	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	522	1	Oriental	Oriental	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	522	2	Journal	Journal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	522	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	522	4	Computer	Computer	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	522	5	Science	Science	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	522	6	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	522	7	Technology	Technology	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	522	8	8(1):13–19	8(1):13–19	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	522	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	523	1	Nweke	Nweke	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	523	2	HF	HF	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	523	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	523	4	Teh	Teh	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	523	5	YW	YW	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	523	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	523	7	Al	Al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	523	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	523	9	Garadi	Garadi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	523	10	MA	MA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	523	11	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	523	12	Alo	Alo	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	523	13	UR	UR	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	523	14	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	524	1	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	524	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	525	1	Deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	525	2	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	525	3	algorithms	algorithm	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	525	4	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	525	5	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	525	6	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	525	7	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	525	8	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	525	9	mobile	mobile	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	525	10	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	525	11	wearable	wearable	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	525	12	sensor	sensor	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	525	13	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	525	14	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	525	15	state	state	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	525	16	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	525	17	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	525	18	art	art	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	525	19	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	525	20	research	research	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	525	21	challenges	challenge	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	525	22	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	526	1	Expert	expert	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	526	2	Systems	system	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	526	3	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	526	4	Applications	Applications	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	526	5	105:233–261	105:233–261	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	526	6	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	526	7	10.1016	10.1016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	526	8	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	526	9	j.eswa.2018.03.056	j.eswa.2018.03.056	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	526	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	527	1	Oyedare	Oyedare	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	527	2	T	T	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	527	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	527	4	Park	Park	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	527	5	J	J	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	527	6	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	527	7	MJ	MJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	527	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	528	1	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	528	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	529	1	Estimating	estimate	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	529	2	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	529	3	required	require	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	529	4	training	training	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	529	5	dataset	dataset	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	529	6	size	size	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	529	7	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	529	8	transmitter	transmitter	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	529	9	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	529	10	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	529	11	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	529	12	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	529	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	530	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	530	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	530	3	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	530	4	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	530	5	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	530	6	Symposium	Symposium	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	530	7	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	530	8	Dynamic	Dynamic	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	530	9	Spectrum	Spectrum	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	530	10	Access	Access	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	530	11	Networks	Networks	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	530	12	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	530	13	DySPAN	DySPAN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	530	14	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	530	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	531	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	531	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	531	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	531	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	531	5	1–10	1–10	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	531	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	532	1	Paul	Paul	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	532	2	P	P	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	532	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	532	4	George	George	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	532	5	T.	T.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	532	6	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	532	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	533	1	An	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	533	2	effective	effective	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	533	3	approach	approach	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	533	4	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	533	5	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	533	6	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	533	7	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	533	8	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	533	9	smartphone	smartphone	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	533	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	534	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	534	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	534	3	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	534	4	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	534	5	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	534	6	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	534	7	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	534	8	Engineering	Engineering	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	534	9	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	534	10	Technology	Technology	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	534	11	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	534	12	Icetech	Icetech	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	534	13	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	534	14	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	535	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	535	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	535	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	535	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	535	5	1–3	1–3	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	535	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	536	1	Piczak	Piczak	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	536	2	KJ	KJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	536	3	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	537	1	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	537	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	538	1	Environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	538	2	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	538	3	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	538	4	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	538	5	convolutional	convolutional	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	538	6	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	538	7	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	538	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	539	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	539	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	539	3	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	539	4	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	539	5	25th	25th	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	539	6	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	539	7	Workshop	Workshop	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	539	8	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	539	9	Machine	Machine	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	539	10	Learning	Learning	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	539	11	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	539	12	Signal	Signal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	539	13	Processing	Processing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	539	14	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	539	15	MLSP	MLSP	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	539	16	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	539	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	540	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	540	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	540	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	540	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	540	5	1–6	1–6	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	540	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	541	1	Rafferty	Rafferty	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	541	2	J	J	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	541	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	541	4	Nugent	Nugent	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	541	5	CD	CD	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	541	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	541	7	Liu	Liu	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	541	8	J	J	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	541	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	541	10	Chen	Chen	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	541	11	L.	L.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	541	12	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	541	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	542	1	From	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	542	2	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	542	3	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	542	4	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	542	5	intention	intention	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	542	6	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	542	7	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	542	8	assisted	assist	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	542	9	living	live	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	542	10	within	within	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	542	11	smart	smart	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	542	12	homes	home	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	542	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	543	1	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	543	2	Transactions	transaction	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	543	3	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	543	4	Human	Human	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	543	5	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	543	6	Machine	Machine	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	543	7	Systems	Systems	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	543	8	47(3):368–379	47(3):368–379	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	543	9	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	543	10	10.1109	10.1109	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	543	11	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	543	12	THMS.2016.2641388	THMS.2016.2641388	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	543	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	544	1	Ramachandran	Ramachandran	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	544	2	P	P	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	544	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	544	4	Zoph	Zoph	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	544	5	B	B	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	544	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	544	7	Le	Le	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	544	8	QV	QV	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	544	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	545	1	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	545	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	546	1	Searching	search	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	546	2	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	546	3	activation	activation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	546	4	functions	function	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	546	5	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	547	1	ArXiv	ArXiv	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	547	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	548	1	Available	available	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	548	2	at	at	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	548	3	https://arxiv.org/abs/1710.05941	https://arxiv.org/abs/1710.05941	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	548	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	549	1	Reyes	Reyes	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	549	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	549	3	Ortiz	Ortiz	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	549	4	J	J	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	549	5	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	549	6	L	L	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	549	7	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	549	8	Oneto	Oneto	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	549	9	L	L	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	549	10	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	549	11	Samà	Samà	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	549	12	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	549	13	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	549	14	Parra	Parra	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	549	15	X	X	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	549	16	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	549	17	Anguita	Anguita	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	549	18	D.	D.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	549	19	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	549	20	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	550	1	Transition	transition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	550	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	550	3	aware	aware	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	550	4	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	550	5	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	550	6	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	550	7	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	550	8	smartphones	smartphone	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	550	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	551	1	Neurocomputing	neurocompute	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	551	2	171:754–767	171:754–767	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	551	3	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	551	4	10.1016	10.1016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	551	5	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	551	6	j.neucom.2015.07.085	j.neucom.2015.07.085	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	551	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	552	1	Robinson	Robinson	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	552	2	DC	DC	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	552	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	552	4	Sanders	Sanders	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	552	5	DA	DA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	552	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	552	7	Mazharsolook	Mazharsolook	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	552	8	E.	E.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	552	9	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	552	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	553	1	Ambient	ambient	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	553	2	intelligence	intelligence	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	553	3	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	553	4	optimal	optimal	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	553	5	manufacturing	manufacturing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	553	6	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	553	7	energy	energy	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	553	8	efficiency	efficiency	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	553	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	554	1	Assembly	Assembly	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	554	2	Automation	Automation	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	554	3	35(3):234–248	35(3):234–248	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	554	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	554	5	10.1108	10.1108	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	554	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	554	7	AA-11	AA-11	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	554	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	554	9	2014	2014	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	554	10	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	554	11	087	087	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	554	12	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	555	1	Roda	Roda	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	555	2	C	C	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	555	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	555	4	Rodrguez	Rodrguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	555	5	AC	AC	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	555	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	555	7	López	López	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	555	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	555	9	Jaquero	Jaquero	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	555	10	V	V	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	555	11	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	555	12	Navarro	Navarro	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	555	13	E	E	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	555	14	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	555	15	González	González	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	555	16	P.	P.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	555	17	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	555	18	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	556	1	A	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	556	2	multi	multi	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	556	3	-	-	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	556	4	agent	agent	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	556	5	system	system	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	556	6	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	556	7	acquired	acquire	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	556	8	brain	brain	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	556	9	injury	injury	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	556	10	rehabilitation	rehabilitation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	556	11	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	556	12	ambient	ambient	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	556	13	intelligence	intelligence	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	556	14	environments	environment	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	556	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	557	1	Neurocomputing	neurocompute	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	557	2	231:11–18	231:11–18	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	557	3	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	557	4	10.1016	10.1016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	557	5	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	557	6	j.neucom.2016.04.066	j.neucom.2016.04.066	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	557	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	558	1	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	558	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	558	3	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	558	4	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	558	5	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	558	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	559	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	559	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	559	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	559	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	559	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	559	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	559	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	560	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	560	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	560	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	560	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	560	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	560	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	560	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	560	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	560	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	560	10	20/22	20/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	560	11	http://dx.doi.org/10.1249/MSS.0000000000001144	http://dx.doi.org/10.1249/MSS.0000000000001144	:
work_egt7fmczgjgbpjnjxzpgy5npoy	560	12	http://dx.doi.org/10.3390/s140304312	http://dx.doi.org/10.3390/s140304312	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	560	13	http://dx.doi.org/10.3390/s17112556	http://dx.doi.org/10.3390/s17112556	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	560	14	http://dx.doi.org/10.1016/j.eswa.2018.03.056	http://dx.doi.org/10.1016/j.eswa.2018.03.056	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	560	15	http://dx.doi.org/10.1109/THMS.2016.2641388	http://dx.doi.org/10.1109/THMS.2016.2641388	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	560	16	https://arxiv.org/abs/1710.05941	https://arxiv.org/abs/1710.05941	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	560	17	http://dx.doi.org/10.1016/j.neucom.2015.07.085	http://dx.doi.org/10.1016/j.neucom.2015.07.085	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	560	18	http://dx.doi.org/10.1108/AA-11-2014-087	http://dx.doi.org/10.1108/aa-11-2014-087	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	560	19	http://dx.doi.org/10.1016/j.neucom.2016.04.066	http://dx.doi.org/10.1016/j.neucom.2016.04.066	UH
work_egt7fmczgjgbpjnjxzpgy5npoy	560	20	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	560	21	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	560	22	Ronao	Ronao	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	560	23	CA	CA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	560	24	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	560	25	Cho	Cho	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	560	26	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	560	27	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	560	28	B.	B.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	561	1	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	561	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	562	1	Human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	562	2	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	562	3	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	562	4	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	562	5	smartphone	smartphone	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	562	6	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	562	7	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	562	8	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	562	9	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	562	10	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	562	11	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	562	12	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	563	1	Expert	expert	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	563	2	Systems	system	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	563	3	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	563	4	Applications	Applications	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	563	5	59:235–244	59:235–244	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	563	6	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	563	7	10.1016	10.1016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	563	8	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	563	9	j.eswa.2016.04.032	j.eswa.2016.04.032	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	563	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	564	1	Rong	Rong	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	564	2	F.	F.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	564	3	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	564	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	565	1	Audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	565	2	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	565	3	method	method	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	565	4	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	565	5	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	565	6	machine	machine	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	565	7	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	565	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	566	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	566	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	566	3	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	566	4	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	566	5	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	566	6	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	566	7	Intelligent	Intelligent	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	566	8	Transportation	Transportation	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	566	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	566	10	Big	Big	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	566	11	Data	Data	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	566	12	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	566	13	Smart	Smart	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	566	14	City	City	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	566	15	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	566	16	ICITBS	ICITBS	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	566	17	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	566	18	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	567	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	567	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	567	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	567	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	567	5	81–84	81–84	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	567	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	568	1	Rubinstein	Rubinstein	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	568	2	RY	RY	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	568	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	568	4	Kroese	Kroese	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	568	5	DP	DP	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	568	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	569	1	2013	2013	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	569	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	570	1	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	570	2	cross	cross	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	570	3	-	-	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	570	4	entropy	entropy	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	570	5	method	method	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	570	6	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	570	7	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	570	8	unified	unified	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	570	9	approach	approach	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	570	10	to	to	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	570	11	combinatorial	combinatorial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	570	12	optimization	optimization	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	570	13	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	570	14	Monte	Monte	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	570	15	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	570	16	Carlo	Carlo	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	570	17	simulation	simulation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	570	18	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	570	19	machine	machine	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	570	20	learning	learning	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	570	21	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	571	1	Berlin	Berlin	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	571	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	571	3	Springer	Springer	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	571	4	Science	Science	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	571	5	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	571	6	Business	Business	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	571	7	Media	Media	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	571	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	572	1	Ruder	Ruder	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	572	2	S.	S.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	572	3	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	572	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	573	1	An	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	573	2	overview	overview	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	573	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	573	4	gradient	gradient	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	573	5	descent	descent	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	573	6	optimization	optimization	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	573	7	algorithms	algorithm	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	573	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	574	1	ArXiv	ArXiv	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	574	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	575	1	Available	available	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	575	2	at	at	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	575	3	https://arxiv.org/abs/1609.04747	https://arxiv.org/abs/1609.04747	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	575	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	576	1	Scheirer	Scheirer	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	576	2	ED	ED	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	576	3	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	577	1	1998	1998	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	577	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	578	1	Tempo	Tempo	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	578	2	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	578	3	beat	beat	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	578	4	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	578	5	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	578	6	acoustic	acoustic	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	578	7	musical	musical	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	578	8	signals	signal	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	578	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	579	1	Journal	Journal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	579	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	579	3	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	579	4	Acoustical	Acoustical	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	579	5	Society	Society	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	579	6	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	579	7	America	America	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	579	8	103(1):588–601	103(1):588–601	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	579	9	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	579	10	10.1121/1.421129	10.1121/1.421129	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	579	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	580	1	Sebestyen	Sebestyen	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	580	2	G	G	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	580	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	580	4	Stoica	Stoica	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	580	5	I	I	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	580	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	580	7	Hangan	Hangan	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	580	8	A.	A.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	581	1	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	581	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	582	1	Human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	582	2	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	582	3	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	582	4	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	582	5	monitoring	monitoring	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	582	6	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	582	7	elderly	elderly	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	582	8	people	people	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	582	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	583	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	583	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	583	3	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	583	4	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	583	5	12th	12th	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	583	6	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	583	7	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	583	8	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	583	9	Intelligent	Intelligent	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	583	10	Computer	Computer	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	583	11	Communication	Communication	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	583	12	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	583	13	Processing	Processing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	583	14	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	583	15	ICCP	ICCP	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	583	16	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	583	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	584	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	584	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	584	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	584	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	584	5	341–347	341–347	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	584	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	585	1	Shoaib	Shoaib	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	585	2	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	585	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	585	4	Bosch	Bosch	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	585	5	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	585	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	585	7	Incel	Incel	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	585	8	OD	OD	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	585	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	585	10	Scholten	Scholten	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	585	11	H	h	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	585	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	585	13	Havinga	Havinga	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	585	14	PJ	PJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	585	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	586	1	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	586	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	587	1	A	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	587	2	survey	survey	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	587	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	587	4	online	online	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	587	5	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	587	6	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	587	7	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	587	8	mobile	mobile	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	587	9	phones	phone	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	587	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	588	1	Sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	588	2	15(1):2059–2085	15(1):2059–2085	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	588	3	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	588	4	10.3390	10.3390	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	588	5	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	588	6	s150102059	s150102059	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	588	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	589	1	Sim	Sim	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	589	2	JM	JM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	589	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	589	4	Lee	Lee	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	589	5	Y	Y	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	589	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	589	7	Kwon	Kwon	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	589	8	O.	O.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	590	1	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	590	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	591	1	Acoustic	acoustic	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	591	2	sensor	sensor	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	591	3	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	591	4	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	591	5	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	591	6	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	591	7	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	591	8	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	591	9	everyday	everyday	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	591	10	life	life	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	591	11	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	591	12	smart	smart	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	591	13	home	home	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	591	14	services	service	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	591	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	592	1	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	592	2	Journal	Journal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	592	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	592	4	Distributed	Distributed	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	592	5	Sensor	Sensor	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	592	6	Networks	Networks	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	592	7	11(9):679123	11(9):679123	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	592	8	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	592	9	10.1155/2015/679123	10.1155/2015/679123	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	592	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	593	1	Simonyan	Simonyan	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	593	2	K	K	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	593	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	593	4	Zisserman	Zisserman	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	593	5	A.	a.	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	594	1	2014	2014	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	594	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	595	1	Very	very	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	595	2	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	595	3	convolutional	convolutional	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	595	4	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	595	5	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	595	6	large	large	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	595	7	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	595	8	scale	scale	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	595	9	image	image	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	595	10	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	595	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	596	1	ArXiv	ArXiv	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	596	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	597	1	Available	available	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	597	2	at	at	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	597	3	https://arxiv.org/abs/1409.1556	https://arxiv.org/abs/1409.1556	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	597	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	598	1	Sousa	Sousa	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	598	2	Lima	Lima	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	598	3	W	W	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	598	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	598	5	Souto	Souto	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	598	6	E	E	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	598	7	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	598	8	El	El	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	598	9	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	598	10	Khatib	Khatib	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	598	11	K	K	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	598	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	598	13	Jalali	Jalali	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	598	14	R	R	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	598	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	598	16	Gama	Gama	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	598	17	J.	J.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	599	1	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	599	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	600	1	Human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	600	2	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	600	3	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	600	4	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	600	5	inertial	inertial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	600	6	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	600	7	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	600	8	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	600	9	smartphone	smartphone	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	600	10	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	600	11	an	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	600	12	overview	overview	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	600	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	601	1	Sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	601	2	19(14):3213	19(14):3213	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	601	3	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	601	4	10.3390	10.3390	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	601	5	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	601	6	s19143213	s19143213	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	601	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	602	1	Stipanicev	stipanicev	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	602	2	D	d	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	602	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	602	4	Bodrozic	Bodrozic	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	602	5	L	L	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	602	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	602	7	Stula	Stula	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	602	8	M.	M.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	602	9	2007	2007	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	602	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	603	1	Environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	603	2	intelligence	intelligence	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	603	3	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	603	4	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	603	5	advanced	advanced	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	603	6	sensor	sensor	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	603	7	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	603	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	604	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	604	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	604	3	2007	2007	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	604	4	14th	14th	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	604	5	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	604	6	Workshop	Workshop	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	604	7	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	604	8	Systems	Systems	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	604	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	604	10	Signals	Signals	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	604	11	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	604	12	Image	Image	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	604	13	Processing	Processing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	604	14	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	604	15	6th	6th	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	604	16	EURASIP	EURASIP	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	604	17	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	604	18	Focused	focus	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	604	19	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	604	20	Speech	Speech	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	604	21	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	604	22	Image	Image	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	604	23	Processing	Processing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	604	24	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	604	25	Multimedia	Multimedia	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	604	26	Communications	Communications	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	604	27	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	604	28	Services	Services	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	604	29	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	605	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	605	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	605	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	605	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	605	5	209–212	209–212	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	605	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	606	1	Stork	Stork	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	606	2	JA	JA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	606	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	606	4	Spinello	Spinello	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	606	5	L	L	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	606	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	606	7	Silva	Silva	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	606	8	J	J	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	606	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	606	10	Arras	Arras	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	606	11	KO	KO	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	606	12	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	607	1	2012	2012	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	607	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	608	1	Audio	audio	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	608	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	608	3	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	608	4	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	608	5	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	608	6	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	608	7	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	608	8	non	non	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	608	9	-	-	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	608	10	markovian	markovian	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	608	11	ensemble	ensemble	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	608	12	voting	voting	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	608	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	609	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	609	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	609	3	2012	2012	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	609	4	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	609	5	RO	RO	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	609	6	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	609	7	MAN	MAN	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	609	8	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	609	9	The	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	609	10	21st	21st	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	609	11	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	609	12	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	609	13	Symposium	Symposium	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	609	14	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	609	15	Robot	Robot	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	609	16	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	609	17	Human	Human	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	609	18	Interactive	Interactive	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	609	19	Communication	Communication	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	609	20	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	610	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	610	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	610	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	610	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	611	1	Suto	Suto	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	611	2	J	J	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	611	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	611	4	Oniga	Oniga	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	611	5	S.	S.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	611	6	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	611	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	612	1	Efficiency	efficiency	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	612	2	investigation	investigation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	612	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	612	4	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	612	5	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	612	6	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	612	7	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	612	8	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	612	9	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	612	10	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	612	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	613	1	Journal	Journal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	613	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	613	3	Ambient	Ambient	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	613	4	Intelligence	Intelligence	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	613	5	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	613	6	Humanized	Humanized	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	613	7	Computing	Computing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	613	8	9(4):1049–1060	9(4):1049–1060	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	613	9	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	613	10	10.1007	10.1007	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	613	11	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	613	12	s12652	s12652	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	613	13	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	613	14	017	017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	613	15	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	613	16	0513	0513	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	613	17	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	613	18	5	5	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	613	19	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	614	1	Tarzia	Tarzia	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	614	2	SP	SP	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	614	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	614	4	Dinda	Dinda	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	614	5	PA	PA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	614	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	614	7	Dick	Dick	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	614	8	RP	RP	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	614	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	614	10	Memik	Memik	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	614	11	G.	G.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	614	12	2011	2011	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	614	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	615	1	Indoor	indoor	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	615	2	localization	localization	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	615	3	without	without	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	615	4	infrastructure	infrastructure	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	615	5	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	615	6	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	615	7	acoustic	acoustic	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	615	8	background	background	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	615	9	spectrum	spectrum	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	615	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	616	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	616	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	616	3	Proceedings	proceeding	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	616	4	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	616	5	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	616	6	9th	9th	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	616	7	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	616	8	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	616	9	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	616	10	Mobile	Mobile	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	616	11	Systems	Systems	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	616	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	616	13	Applications	Applications	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	616	14	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	616	15	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	616	16	Services	Services	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	616	17	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	616	18	155–168	155–168	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	616	19	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	617	1	Taylor	Taylor	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	617	2	W	W	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	617	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	617	4	Shah	Shah	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	617	5	SA	SA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	617	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	617	7	Dashtipour	Dashtipour	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	617	8	K	K	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	617	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	617	10	Zahid	Zahid	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	617	11	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	617	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	617	13	Abbasi	Abbasi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	617	14	QH	QH	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	617	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	617	16	Imran	Imran	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	617	17	MA	MA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	617	18	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	618	1	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	618	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	619	1	An	an	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	619	2	intelligent	intelligent	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	619	3	non-	non-	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	619	4	invasive	invasive	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	619	5	real	real	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	619	6	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	619	7	time	time	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	619	8	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	619	9	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	619	10	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	619	11	system	system	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	619	12	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	619	13	next	next	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	619	14	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	619	15	generation	generation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	619	16	healthcare	healthcare	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	619	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	620	1	Sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	620	2	20(9):2653	20(9):2653	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	620	3	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	620	4	10.3390	10.3390	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	620	5	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	620	6	s20092653	s20092653	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	620	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	621	1	Trost	Trost	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	621	2	SG	SG	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	621	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	621	4	Cliff	Cliff	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	621	5	D	D	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	621	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	621	7	Ahmadi	Ahmadi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	621	8	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	621	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	621	10	Van	Van	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	621	11	Tuc	Tuc	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	621	12	N	N	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	621	13	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	621	14	Hagenbuchner	Hagenbuchner	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	621	15	M.	M.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	621	16	2018	2018	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	621	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	622	1	Sensor	sensor	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	622	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	622	3	enabled	enable	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	622	4	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	622	5	class	class	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	622	6	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	622	7	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	622	8	preschoolers	preschooler	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	622	9	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	622	10	hip	hip	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	622	11	versus	versus	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	622	12	wrist	wrist	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	622	13	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	622	14	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	623	1	Medicine	Medicine	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	623	2	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	623	3	Science	Science	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	623	4	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	623	5	Sports	Sports	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	623	6	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	623	7	Exercise	Exercise	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	623	8	50(3):634–641	50(3):634–641	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	623	9	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	623	10	10.1249	10.1249	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	623	11	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	623	12	MSS.0000000000001460	MSS.0000000000001460	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	623	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	624	1	Uddin	Uddin	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	624	2	MT	MT	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	624	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	624	4	Billah	Billah	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	624	5	MM	MM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	624	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	624	7	Hossain	Hossain	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	624	8	MF	MF	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	624	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	625	1	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	625	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	626	1	Random	random	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	626	2	forests	forest	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	626	3	based	base	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	626	4	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	626	5	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	626	6	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	626	7	activities	activity	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	626	8	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	626	9	postural	postural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	626	10	transitions	transition	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	626	11	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	626	12	smartphone	smartphone	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	626	13	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	627	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	627	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	627	3	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	627	4	5th	5th	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	627	5	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	627	6	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	627	7	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	627	8	Informatics	Informatics	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	627	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	627	10	Electronics	Electronics	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	627	11	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	627	12	Vision	Vision	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	627	13	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	627	14	ICIEV	ICIEV	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	627	15	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	627	16	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	628	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	628	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	628	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	628	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	628	5	250–255	250–255	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	628	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	629	1	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	629	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	629	3	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	629	4	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	629	5	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	629	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	630	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	630	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	630	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	630	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	630	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	630	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	630	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	631	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	631	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	631	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	631	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	631	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	631	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	631	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	631	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	631	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	631	10	21/22	21/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	631	11	http://dx.doi.org/10.1016/j.eswa.2016.04.032	http://dx.doi.org/10.1016/j.eswa.2016.04.032	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	631	12	https://arxiv.org/abs/1609.04747	https://arxiv.org/abs/1609.04747	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	631	13	http://dx.doi.org/10.1121/1.421129	http://dx.doi.org/10.1121/1.421129	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	631	14	http://dx.doi.org/10.3390/s150102059	http://dx.doi.org/10.3390/s150102059	ADD
work_egt7fmczgjgbpjnjxzpgy5npoy	631	15	http://dx.doi.org/10.1155/2015/679123	http://dx.doi.org/10.1155/2015/679123	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	631	16	https://arxiv.org/abs/1409.1556	https://arxiv.org/abs/1409.1556	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	631	17	http://dx.doi.org/10.3390/s19143213	http://dx.doi.org/10.3390/s19143213	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	631	18	http://dx.doi.org/10.1007/s12652-017-0513-5	http://dx.doi.org/10.1007/s12652-017-0513-5	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	631	19	http://dx.doi.org/10.3390/s20092653	http://dx.doi.org/10.3390/s20092653	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	631	20	http://dx.doi.org/10.1249/MSS.0000000000001460	http://dx.doi.org/10.1249/MSS.0000000000001460	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	631	21	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	631	22	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	631	23	Uddin	Uddin	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	631	24	MT	MT	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	631	25	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	631	26	Uddiny	Uddiny	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	631	27	MA	MA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	631	28	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	632	1	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	632	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	633	1	Human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	633	2	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	633	3	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	633	4	from	from	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	633	5	wearable	wearable	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	633	6	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	633	7	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	633	8	extremely	extremely	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	633	9	randomized	randomized	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	633	10	trees	tree	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	633	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	634	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	634	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	634	3	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	634	4	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	634	5	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	634	6	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	634	7	Electrical	Electrical	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	634	8	Engineering	Engineering	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	634	9	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	634	10	Information	Information	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	634	11	Communication	Communication	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	634	12	Technology	Technology	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	634	13	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	634	14	ICEEICT	ICEEICT	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	634	15	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	634	16	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	635	1	Piscataway	piscataway	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	635	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	635	3	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	635	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	635	5	1–6	1–6	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	635	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	636	1	Uddin	Uddin	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	636	2	MZ	MZ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	636	3	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	637	1	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	637	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	638	1	A	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	638	2	wearable	wearable	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	638	3	sensor	sensor	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	638	4	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	638	5	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	638	6	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	638	7	prediction	prediction	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	638	8	system	system	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	638	9	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	638	10	facilitate	facilitate	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	638	11	edge	edge	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	638	12	computing	computing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	638	13	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	638	14	smart	smart	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	638	15	healthcare	healthcare	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	638	16	system	system	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	638	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	639	1	Journal	Journal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	639	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	639	3	Parallel	Parallel	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	639	4	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	639	5	Distributed	Distributed	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	639	6	Computing	Computing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	639	7	123:46–53	123:46–53	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	639	8	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	639	9	10.1016	10.1016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	639	10	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	639	11	j.jpdc.2018.08.010	j.jpdc.2018.08.010	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	639	12	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	640	1	Van	Van	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	640	2	der	der	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	640	3	Oord	Oord	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	640	4	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	640	5	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	640	6	Dieleman	Dieleman	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	640	7	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	640	8	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	640	9	Zen	Zen	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	640	10	H	H	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	640	11	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	640	12	Simonyan	Simonyan	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	640	13	K	K	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	640	14	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	640	15	Vinyals	Vinyals	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	640	16	O	o	UH
work_egt7fmczgjgbpjnjxzpgy5npoy	640	17	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	640	18	Graves	Graves	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	640	19	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	640	20	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	640	21	Kalchbrenner	Kalchbrenner	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	640	22	N	N	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	640	23	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	640	24	Senior	Senior	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	640	25	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	640	26	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	640	27	Kavukcuoglu	Kavukcuoglu	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	640	28	K.	K.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	640	29	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	640	30	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	641	1	Wavenet	wavenet	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	641	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	641	3	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	641	4	generative	generative	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	641	5	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	641	6	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	641	7	raw	raw	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	641	8	audio	audio	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	641	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	642	1	ArXiv	ArXiv	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	642	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	643	1	Available	available	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	643	2	at	at	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	643	3	https://arxiv.org/abs/1609.03499	https://arxiv.org/abs/1609.03499	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	643	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	644	1	Van	Van	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	644	2	Rossum	Rossum	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	644	3	G.	G.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	644	4	2007	2007	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	644	5	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	645	1	Python	python	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	645	2	programming	programming	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	645	3	language	language	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	645	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	646	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	646	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	646	3	USENIX	USENIX	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	646	4	Annual	Annual	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	646	5	Technical	Technical	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	646	6	Conference	Conference	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	646	7	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	646	8	41:36	41:36	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	646	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	647	1	Wang	Wang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	647	2	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	647	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	647	4	Chen	Chen	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	647	5	G	G	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	647	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	647	7	Yang	Yang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	647	8	J	J	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	647	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	647	10	Zhao	Zhao	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	647	11	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	647	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	647	13	Chang	Chang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	647	14	C	C	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	647	15	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	647	16	Y.	Y.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	648	1	2016	2016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	648	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	649	1	A	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	649	2	comparative	comparative	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	649	3	study	study	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	649	4	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	649	5	human	human	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	649	6	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	649	7	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	649	8	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	649	9	inertial	inertial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	649	10	sensors	sensor	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	649	11	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	649	12	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	649	13	smartphone	smartphone	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	649	14	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	650	1	IEEE	IEEE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	650	2	Sensors	Sensors	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	650	3	Journal	Journal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	650	4	16(11):4566–4578	16(11):4566–4578	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	650	5	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	650	6	10.1109	10.1109	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	650	7	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	650	8	JSEN.2016.2545708	JSEN.2016.2545708	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	650	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	651	1	Wang	Wang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	651	2	H	H	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	651	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	651	4	Divakaran	Divakaran	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	651	5	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	651	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	651	7	Vetro	Vetro	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	651	8	A	A	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	651	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	651	10	Chang	Chang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	651	11	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	651	12	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	651	13	F	F	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	651	14	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	651	15	Sun	Sun	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	651	16	H.	H.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	651	17	2003	2003	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	651	18	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	652	1	Survey	survey	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	652	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	652	3	compressed	compress	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	652	4	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	652	5	domain	domain	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	652	6	features	feature	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	652	7	used	use	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	652	8	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	652	9	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	652	10	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	652	11	visual	visual	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	652	12	indexing	indexing	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	652	13	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	652	14	analysis	analysis	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	652	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	653	1	Journal	Journal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	653	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	653	3	Visual	Visual	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	653	4	Communication	Communication	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	653	5	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	653	6	Image	Image	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	653	7	Representation	Representation	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	653	8	14(2):150–183	14(2):150–183	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	653	9	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	653	10	10.1016	10.1016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	653	11	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	653	12	S1047	S1047	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	653	13	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	653	14	3203(03)00019	3203(03)00019	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	653	15	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	653	16	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	653	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	654	1	Wang	Wang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	654	2	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	654	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	654	4	Zhou	Zhou	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	654	5	G.	G.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	654	6	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	654	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	655	1	A	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	655	2	review	review	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	655	3	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	655	4	radio	radio	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	655	5	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	655	6	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	655	7	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	655	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	656	1	Digital	Digital	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	656	2	Communications	Communications	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	656	3	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	656	4	Networks	Networks	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	656	5	1(1):20–29	1(1):20–29	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	656	6	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	656	7	10.1016	10.1016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	656	8	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	656	9	j.dcan.2015.02.006	j.dcan.2015.02.006	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	656	10	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	657	1	Westeyn	Westeyn	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	657	2	TL	TL	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	657	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	657	4	Abowd	Abowd	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	657	5	GD	GD	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	657	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	657	7	Starner	Starner	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	657	8	TE	TE	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	657	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	657	10	Johnson	Johnson	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	657	11	JM	JM	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	657	12	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	657	13	Presti	Presti	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	657	14	PW	PW	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	657	15	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	657	16	Weaver	Weaver	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	657	17	KA	KA	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	657	18	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	658	1	2011	2011	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	658	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	659	1	Monitoring	monitor	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	659	2	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	659	3	’s	’s	POS
work_egt7fmczgjgbpjnjxzpgy5npoy	659	4	developmental	developmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	659	5	progress	progress	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	659	6	using	use	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	659	7	augmented	augment	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	659	8	toys	toy	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	659	9	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	659	10	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	659	11	recognition	recognition	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	659	12	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	660	1	Personal	personal	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	660	2	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	660	3	Ubiquitous	ubiquitous	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	660	4	Computing	Computing	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	660	5	16(2):169–191	16(2):169–191	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	660	6	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	660	7	10.1007	10.1007	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	660	8	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	660	9	s00779	s00779	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	660	10	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	660	11	011	011	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	660	12	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	660	13	0386	0386	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	660	14	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	660	15	0	0	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	660	16	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	661	1	Wortmann	Wortmann	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	661	2	F	F	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	661	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	661	4	Flüchter	Flüchter	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	661	5	K.	K.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	661	6	2015	2015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	661	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	662	1	Internet	internet	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	662	2	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	662	3	things	thing	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	662	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	663	1	Business	Business	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	663	2	&	&	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	663	3	Information	Information	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	663	4	Systems	Systems	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	663	5	Engineering	Engineering	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	663	6	57(3):221–224	57(3):221–224	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	663	7	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	663	8	10.1007	10.1007	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	663	9	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	663	10	s12599	s12599	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	663	11	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	663	12	015	015	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	663	13	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	663	14	0383	0383	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	663	15	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	663	16	3	3	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	663	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	664	1	Yarotsky	Yarotsky	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	664	2	D.	D.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	664	3	2017	2017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	664	4	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	665	1	Error	error	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	665	2	bounds	bound	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	665	3	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	665	4	approximations	approximation	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	665	5	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	665	6	deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	665	7	relu	relu	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	665	8	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	665	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	666	1	Neural	Neural	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	666	2	Networks	Networks	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	666	3	94:103–114	94:103–114	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	666	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	666	5	10.1016	10.1016	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	666	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	666	7	j.neunet.2017.07.002	j.neunet.2017.07.002	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	666	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	667	1	Zeng	Zeng	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	667	2	Y	Y	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	667	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	667	4	Mao	Mao	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	667	5	H	H	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	667	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	667	7	Peng	Peng	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	667	8	D	D	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	667	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	667	10	Yi	Yi	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	667	11	Z.	Z.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	668	1	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	668	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	669	1	Spectrogram	Spectrogram	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	669	2	based	base	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	669	3	multi	multi	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	669	4	-	-	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	669	5	task	task	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	669	6	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	669	7	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	669	8	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	670	1	Multimedia	Multimedia	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	670	2	Tools	Tools	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	670	3	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	670	4	Applications	Applications	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	670	5	78(3):3705–3722	78(3):3705–3722	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	670	6	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	670	7	10.1007	10.1007	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	670	8	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	670	9	s11042	s11042	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	670	10	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	670	11	017	017	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	670	12	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	670	13	5539	5539	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	670	14	-	-	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	670	15	3	3	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	670	16	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	671	1	Zhang	Zhang	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	671	2	S	S	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	671	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	671	4	Qin	Qin	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	671	5	Y	Y	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	671	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	671	7	Sun	Sun	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	671	8	K	K	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	671	9	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	671	10	Lin	Lin	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	671	11	Y.	Y.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	672	1	2019	2019	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	672	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	673	1	Few	few	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	673	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	673	3	shot	shoot	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	673	4	audio	audio	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	673	5	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	673	6	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	673	7	attentional	attentional	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	673	8	graph	graph	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	673	9	neural	neural	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	673	10	networks	network	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	673	11	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	674	1	In	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	674	2	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	674	3	INTERSPEECH	INTERSPEECH	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	674	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	674	5	3649–3653	3649–3653	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	674	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	675	1	Ziuziański	Ziuziański	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	675	2	P	P	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	675	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	675	4	Furmankiewicz	Furmankiewicz	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	675	5	M	M	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	675	6	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	675	7	Sołtysik	Sołtysik	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	675	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	675	9	Piorunkiewicz	Piorunkiewicz	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	675	10	A.	a.	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	676	1	2014	2014	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	676	2	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	677	1	E	e	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	677	2	-	-	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	677	3	health	health	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	677	4	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	677	5	intelligence	intelligence	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	677	6	system	system	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	677	7	implementation	implementation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	677	8	:	:	:
work_egt7fmczgjgbpjnjxzpgy5npoy	677	9	case	case	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	677	10	study	study	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	677	11	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	677	12	knowledge	knowledge	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	677	13	management	management	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	677	14	dashboard	dashboard	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	677	15	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	677	16	epidemiological	epidemiological	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	677	17	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	677	18	in	in	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	677	19	Poland	Poland	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	677	20	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	678	1	International	International	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	678	2	Journal	Journal	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	678	3	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	678	4	Biology	Biology	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	678	5	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	678	6	Biomedical	Biomedical	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	678	7	Engineering	Engineering	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	678	8	8:164–171	8:164–171	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	678	9	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	679	1	García	García	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	679	2	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	679	3	Domínguez	Domínguez	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	679	4	et	et	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	679	5	al	al	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	679	6	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	680	1	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	680	2	2020	2020	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	680	3	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	680	4	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	680	5	PeerJ	PeerJ	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	680	6	Comput	Comput	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	680	7	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	681	1	Sci	Sci	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	681	2	.	.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	681	3	,	,	,
work_egt7fmczgjgbpjnjxzpgy5npoy	681	4	DOI	DOI	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	681	5	10.7717	10.7717	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	681	6	/	/	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	681	7	peerj	peerj	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	681	8	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	681	9	cs.308	cs.308	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	681	10	22/22	22/22	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	681	11	http://dx.doi.org/10.1016/j.jpdc.2018.08.010	http://dx.doi.org/10.1016/j.jpdc.2018.08.010	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	681	12	https://arxiv.org/abs/1609.03499	https://arxiv.org/abs/1609.03499	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	681	13	http://dx.doi.org/10.1109/JSEN.2016.2545708	http://dx.doi.org/10.1109/jsen.2016.2545708	UH
work_egt7fmczgjgbpjnjxzpgy5npoy	681	14	http://dx.doi.org/10.1016/S1047-3203(03)00019-1	http://dx.doi.org/10.1016/s1047-3203(03)00019-1	UH
work_egt7fmczgjgbpjnjxzpgy5npoy	681	15	http://dx.doi.org/10.1016/j.dcan.2015.02.006	http://dx.doi.org/10.1016/j.dcan.2015.02.006	UH
work_egt7fmczgjgbpjnjxzpgy5npoy	681	16	http://dx.doi.org/10.1007/s00779-011-0386-0	http://dx.doi.org/10.1007/s00779-011-0386-0	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	681	17	http://dx.doi.org/10.1007/s12599-015-0383-3	http://dx.doi.org/10.1007/s12599-015-0383-3	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	681	18	http://dx.doi.org/10.1016/j.neunet.2017.07.002	http://dx.doi.org/10.1016/j.neunet.2017.07.002	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	681	19	http://dx.doi.org/10.1007/s11042-017-5539-3	http://dx.doi.org/10.1007/s11042-017-5539-3	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	681	20	http://dx.doi.org/10.7717/peerj-cs.308	http://dx.doi.org/10.7717/peerj-cs.308	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	681	21	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	681	22	Deep	deep	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	681	23	artificial	artificial	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	681	24	neural	neural	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	681	25	network	network	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	681	26	based	base	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	681	27	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	681	28	environmental	environmental	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	681	29	sound	sound	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	681	30	data	datum	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	681	31	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	681	32	the	the	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	681	33	generation	generation	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	681	34	of	of	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	681	35	a	a	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	681	36	children	child	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	681	37	activity	activity	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	681	38	classification	classification	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	681	39	model	model	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	681	40	Introduction	introduction	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	681	41	Materials	Materials	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	681	42	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	681	43	Methods	Methods	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	681	44	Experiments	Experiments	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	681	45	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	681	46	results	result	VBZ
work_egt7fmczgjgbpjnjxzpgy5npoy	681	47	Discussion	Discussion	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	681	48	Conclusions	Conclusions	NNPS
work_egt7fmczgjgbpjnjxzpgy5npoy	681	49	Future	Future	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	681	50	work	work	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	681	51	References	reference	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	681	52	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	681	53	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	681	54	/ASCII85EncodePages	/ASCII85EncodePages	,
work_egt7fmczgjgbpjnjxzpgy5npoy	681	55	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	681	56	/AllowTransparency	/allowtransparency	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	681	57	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	681	58	/AutoPositionEPSFiles	/AutoPositionEPSFiles	.
work_egt7fmczgjgbpjnjxzpgy5npoy	681	59	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	681	60	/AutoRotatePages	/AutoRotatePages	.
work_egt7fmczgjgbpjnjxzpgy5npoy	681	61	/None	/None	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	681	62	/Binding	/Binding	.
work_egt7fmczgjgbpjnjxzpgy5npoy	681	63	/Left	/Left	.
work_egt7fmczgjgbpjnjxzpgy5npoy	681	64	/CalGrayProfile	/CalGrayProfile	.
work_egt7fmczgjgbpjnjxzpgy5npoy	681	65	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	681	66	Dot	dot	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	681	67	Gain	Gain	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	681	68	20	20	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	681	69	%	%	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	681	70	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	681	71	/CalRGBProfile	/CalRGBProfile	.
work_egt7fmczgjgbpjnjxzpgy5npoy	681	72	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	681	73	sRGB	srgb	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	681	74	IEC61966	IEC61966	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	681	75	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	681	76	2.1	2.1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	681	77	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	681	78	/CalCMYKProfile	/CalCMYKProfile	.
work_egt7fmczgjgbpjnjxzpgy5npoy	681	79	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	681	80	U.S.	U.S.	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	1	Web	web	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	2	Coated	Coated	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	3	\050SWOP\051	\050SWOP\051	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	4	v2	v2	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	5	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	6	/sRGBProfile	/sRGBProfile	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	7	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	8	sRGB	srgb	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	9	IEC61966	IEC61966	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	10	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	682	11	2.1	2.1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	12	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	13	/CannotEmbedFontPolicy	/CannotEmbedFontPolicy	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	14	/Warning	/Warning	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	15	/CompatibilityLevel	/compatibilitylevel	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	16	1.4	1.4	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	17	/CompressObjects	/CompressObjects	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	18	/Off	/Off	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	19	/CompressPages	/CompressPages	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	20	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	21	/ConvertImagesToIndexed	/ConvertImagesToIndexed	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	22	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	23	/PassThroughJPEGImages	/PassThroughJPEGImages	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	24	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	25	/CreateJobTicket	/createjobticket	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	26	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	27	/DefaultRenderingIntent	/DefaultRenderingIntent	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	28	/Default	/Default	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	29	/DetectBlends	/DetectBlends	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	30	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	31	/DetectCurves	/DetectCurves	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	32	0.0000	0.0000	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	33	/ColorConversionStrategy	/ColorConversionStrategy	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	34	/LeaveColorUnchanged	/LeaveColorUnchanged	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	35	/DoThumbnails	/DoThumbnails	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	36	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	37	/EmbedAllFonts	/embedallfont	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	682	38	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	39	/EmbedOpenType	/EmbedOpenType	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	40	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	41	/ParseICCProfilesInComments	/ParseICCProfilesInComments	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	42	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	43	/EmbedJobOptions	/embedjoboption	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	682	44	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	45	/DSCReportingLevel	/DSCReportingLevel	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	46	0	0	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	47	/EmitDSCWarnings	/EmitDSCWarnings	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	48	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	49	/EndPage	/endpage	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	50	-1	-1	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	51	/ImageMemory	/imagememory	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	52	1048576	1048576	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	53	/LockDistillerParams	/lockdistillerparams	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	54	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	55	/MaxSubsetPct	/MaxSubsetPct	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	56	100	100	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	57	/Optimize	/optimize	VBP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	58	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	59	/OPM	/OPM	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	60	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	61	/ParseDSCComments	/ParseDSCComments	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	62	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	63	/ParseDSCCommentsForDocInfo	/ParseDSCCommentsForDocInfo	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	64	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	65	/PreserveCopyPage	/PreserveCopyPage	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	66	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	67	/PreserveDICMYKValues	/PreserveDICMYKValues	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	68	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	69	/PreserveEPSInfo	/PreserveEPSInfo	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	70	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	71	/PreserveFlatness	/PreserveFlatness	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	72	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	73	/PreserveHalftoneInfo	/preservehalftoneinfo	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	74	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	75	/PreserveOPIComments	/PreserveOPIComments	,
work_egt7fmczgjgbpjnjxzpgy5npoy	682	76	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	77	/PreserveOverprintSettings	/PreserveOverprintSettings	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	78	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	79	/StartPage	/StartPage	:
work_egt7fmczgjgbpjnjxzpgy5npoy	682	80	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	81	/SubsetFonts	/subsetfonts	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	82	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	83	/TransferFunctionInfo	/TransferFunctionInfo	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	84	/Apply	/apply	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	85	/UCRandBGInfo	/UCRandBGInfo	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	86	/Preserve	/Preserve	:
work_egt7fmczgjgbpjnjxzpgy5npoy	682	87	/UsePrologue	/UsePrologue	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	88	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	89	/ColorSettingsFile	/ColorSettingsFile	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	90	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	91	None	none	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	92	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	93	/AlwaysEmbed	/alwaysembed	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	682	94	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	95	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	96	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	97	/NeverEmbed	/neverembe	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	98	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	99	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	100	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	101	/AntiAliasColorImages	/AntiAliasColorImages	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	102	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	103	/CropColorImages	/cropcolorimage	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	682	104	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	105	/ColorImageMinResolution	/colorimageminresolution	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	106	300	300	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	107	/ColorImageMinResolutionPolicy	/colorimageminresolutionpolicy	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	682	108	/OK	/OK	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	109	/DownsampleColorImages	/DownsampleColorImages	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	110	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	111	/ColorImageDownsampleType	/ColorImageDownsampleType	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	682	112	/Average	/Average	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	113	/ColorImageResolution	/ColorImageResolution	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	114	300	300	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	115	/ColorImageDepth	/colorimagedepth	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	682	116	8	8	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	117	/ColorImageMinDownsampleDepth	/colorimagemindownsampledepth	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	682	118	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	119	/ColorImageDownsampleThreshold	/colorimagedownsamplethreshold	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	682	120	1.50000	1.50000	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	121	/EncodeColorImages	/EncodeColorImages	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	122	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	123	/ColorImageFilter	/ColorImageFilter	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	124	/FlateEncode	/FlateEncode	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	125	/AutoFilterColorImages	/AutoFilterColorImages	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	126	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	127	/ColorImageAutoFilterStrategy	/ColorImageAutoFilterStrategy	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	128	/JPEG	/JPEG	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	129	/ColorACSImageDict	/ColorACSImageDict	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	130	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	131	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	132	/QFactor	/qfactor	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	133	0.15	0.15	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	134	/HSamples	/HSamples	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	135	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	136	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	137	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	138	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	139	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	140	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	141	/VSamples	/VSamples	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	142	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	143	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	144	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	145	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	146	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	147	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	148	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	149	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	150	/ColorImageDict	/ColorImageDict	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	151	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	152	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	153	/QFactor	/qfactor	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	154	0.15	0.15	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	155	/HSamples	/HSamples	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	156	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	157	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	158	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	159	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	160	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	161	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	162	/VSamples	/VSamples	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	163	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	164	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	165	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	166	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	167	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	168	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	169	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	170	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	171	/JPEG2000ColorACSImageDict	/JPEG2000ColorACSImageDict	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	172	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	173	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	174	/TileWidth	/TileWidth	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	175	256	256	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	176	/TileHeight	/tileheight	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	682	177	256	256	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	178	/Quality	/quality	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	682	179	30	30	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	180	>	>	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	181	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	182	/JPEG2000ColorImageDict	/JPEG2000ColorImageDict	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	183	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	184	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	185	/TileWidth	/TileWidth	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	186	256	256	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	187	/TileHeight	/tileheight	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	682	188	256	256	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	189	/Quality	/quality	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	682	190	30	30	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	191	>	>	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	192	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	193	/AntiAliasGrayImages	/AntiAliasGrayImages	:
work_egt7fmczgjgbpjnjxzpgy5npoy	682	194	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	195	/CropGrayImages	/CropGrayImages	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	196	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	197	/GrayImageMinResolution	/GrayImageMinResolution	:
work_egt7fmczgjgbpjnjxzpgy5npoy	682	198	300	300	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	199	/GrayImageMinResolutionPolicy	/grayimageminresolutionpolicy	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	200	/OK	/OK	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	201	/DownsampleGrayImages	/DownsampleGrayImages	,
work_egt7fmczgjgbpjnjxzpgy5npoy	682	202	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	203	/GrayImageDownsampleType	/GrayImageDownsampleType	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	204	/Average	/average	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	205	/GrayImageResolution	/GrayImageResolution	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	206	300	300	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	207	/GrayImageDepth	/grayimagedepth	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	682	208	8	8	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	209	/GrayImageMinDownsampleDepth	/grayimagemindownsampledepth	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	682	210	2	2	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	211	/GrayImageDownsampleThreshold	/grayimagedownsamplethreshold	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	682	212	1.50000	1.50000	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	213	/EncodeGrayImages	/encodegrayimages	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	214	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	215	/GrayImageFilter	/GrayImageFilter	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	216	/FlateEncode	/flateencode	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	217	/AutoFilterGrayImages	/AutoFilterGrayImages	,
work_egt7fmczgjgbpjnjxzpgy5npoy	682	218	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	219	/GrayImageAutoFilterStrategy	/grayimageautofilterstrategy	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	220	/JPEG	/JPEG	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	221	/GrayACSImageDict	/GrayACSImageDict	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	222	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	223	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	224	/QFactor	/qfactor	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	225	0.15	0.15	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	226	/HSamples	/HSamples	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	227	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	228	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	229	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	230	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	231	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	232	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	233	/VSamples	/VSamples	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	234	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	235	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	236	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	237	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	238	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	239	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	240	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	241	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	242	/GrayImageDict	/GrayImageDict	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	243	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	244	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	245	/QFactor	/qfactor	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	246	0.15	0.15	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	247	/HSamples	/HSamples	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	248	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	249	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	250	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	251	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	252	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	253	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	254	/VSamples	/VSamples	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	255	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	256	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	257	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	258	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	259	1	1	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	260	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	261	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	262	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	263	/JPEG2000GrayACSImageDict	/JPEG2000GrayACSImageDict	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	264	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	265	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	266	/TileWidth	/TileWidth	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	267	256	256	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	268	/TileHeight	/tileheight	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	682	269	256	256	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	270	/Quality	/quality	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	682	271	30	30	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	272	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	273	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	274	/JPEG2000GrayImageDict	/JPEG2000GrayImageDict	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	275	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	276	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	277	/TileWidth	/TileWidth	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	278	256	256	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	279	/TileHeight	/tileheight	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	682	280	256	256	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	281	/Quality	/quality	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	682	282	30	30	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	283	>	>	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	284	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	285	/AntiAliasMonoImages	/AntiAliasMonoImages	:
work_egt7fmczgjgbpjnjxzpgy5npoy	682	286	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	287	/CropMonoImages	/CropMonoImages	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	288	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	289	/MonoImageMinResolution	/MonoImageMinResolution	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	290	1200	1200	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	291	/MonoImageMinResolutionPolicy	/MonoImageMinResolutionPolicy	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	292	/OK	/OK	,
work_egt7fmczgjgbpjnjxzpgy5npoy	682	293	/DownsampleMonoImages	/DownsampleMonoImages	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	294	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	295	/MonoImageDownsampleType	/MonoImageDownsampleType	,
work_egt7fmczgjgbpjnjxzpgy5npoy	682	296	/Average	/average	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	297	/MonoImageResolution	/MonoImageResolution	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	298	1200	1200	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	299	/MonoImageDepth	/monoimagedepth	SYM
work_egt7fmczgjgbpjnjxzpgy5npoy	682	300	-1	-1	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	301	/MonoImageDownsampleThreshold	/MonoImageDownsampleThreshold	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	302	1.50000	1.50000	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	303	/EncodeMonoImages	/EncodeMonoImages	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	304	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	305	/MonoImageFilter	/MonoImageFilter	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	306	/CCITTFaxEncode	/CCITTFaxEncode	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	307	/MonoImageDict	/MonoImageDict	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	308	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	309	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	310	/K	/K	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	311	-1	-1	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	312	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	313	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	314	/AllowPSXObjects	/AllowPSXObjects	:
work_egt7fmczgjgbpjnjxzpgy5npoy	682	315	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	316	/CheckCompliance	/CheckCompliance	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	317	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	318	/None	/None	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	319	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	320	/PDFX1aCheck	/PDFX1aCheck	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	321	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	322	/PDFX3Check	/PDFX3Check	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	323	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	324	/PDFXCompliantPDFOnly	/PDFXCompliantPDFOnly	,
work_egt7fmczgjgbpjnjxzpgy5npoy	682	325	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	326	/PDFXNoTrimBoxError	/PDFXNoTrimBoxError	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	327	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	328	/PDFXTrimBoxToMediaBoxOffset	/PDFXTrimBoxToMediaBoxOffset	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	329	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	330	0.00000	0.00000	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	331	0.00000	0.00000	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	332	0.00000	0.00000	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	333	0.00000	0.00000	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	334	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	335	/PDFXSetBleedBoxToMediaBox	/PDFXSetBleedBoxToMediaBox	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	336	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	337	/PDFXBleedBoxToTrimBoxOffset	/PDFXBleedBoxToTrimBoxOffset	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	338	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	339	0.00000	0.00000	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	340	0.00000	0.00000	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	341	0.00000	0.00000	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	342	0.00000	0.00000	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	682	343	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	344	/PDFXOutputIntentProfile	/PDFXOutputIntentProfile	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	345	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	346	None	none	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	347	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	348	/PDFXOutputConditionIdentifier	/PDFXOutputConditionIdentifier	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	349	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	350	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	351	/PDFXOutputCondition	/PDFXOutputCondition	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	352	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	353	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	354	/PDFXRegistryName	/PDFXRegistryName	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	355	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	356	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	357	/PDFXTrapped	/PDFXTrapped	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	358	/False	/False	:
work_egt7fmczgjgbpjnjxzpgy5npoy	682	359	/CreateJDFFile	/CreateJDFFile	,
work_egt7fmczgjgbpjnjxzpgy5npoy	682	360	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	361	/Description	/description	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	362	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	363	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	364	/CHS	/CHS	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	365	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	366	FEFF4f7f75288fd94e9b8bbe5b9a521b5efa7684002000500044004600206587686353ef901a8fc7684c976262535370673a548c002000700072006f006f00660065007200208fdb884c9ad88d2891cf62535370300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c676562535f00521b5efa768400200050004400460020658768633002	FEFF4f7f75288fd94e9b8bbe5b9a521b5efa7684002000500044004600206587686353ef901a8fc7684c976262535370673a548c002000700072006f006f00660065007200208fdb884c9ad88d2891cf62535370300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c676562535f00521b5efa768400200050004400460020658768633002	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	367	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	368	/CHT	/CHT	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	369	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	370	FEFF4f7f752890194e9b8a2d7f6e5efa7acb7684002000410064006f006200650020005000440046002065874ef653ef5728684c9762537088686a5f548c002000700072006f006f00660065007200204e0a73725f979ad854c18cea7684521753706548679c300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c4f86958b555f5df25efa7acb76840020005000440046002065874ef63002	FEFF4f7f752890194e9b8a2d7f6e5efa7acb7684002000410064006f006200650020005000440046002065874ef653ef5728684c9762537088686a5f548c002000700072006f006f00660065007200204e0a73725f979ad854c18cea7684521753706548679c300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c4f86958b555f5df25efa7acb76840020005000440046002065874ef63002	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	371	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	372	/DAN	/DAN	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	373	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	374	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	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	375	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	376	/DEU	/DEU	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	377	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	378	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	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	379	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	380	/ESP	/ESP	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	381	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	382	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	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	383	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	384	/FRA	/FRA	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	385	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	386	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	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	387	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	388	/ITA	/ITA	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	389	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	390	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	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	391	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	392	/JPN	/JPN	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	393	<	<	XX
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work_egt7fmczgjgbpjnjxzpgy5npoy	682	395	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	396	/KOR	/KOR	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	397	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	398	FEFFc7740020c124c815c7440020c0acc6a9d558c5ec0020b370c2a4d06cd0d10020d504b9b0d1300020bc0f0020ad50c815ae30c5d0c11c0020ace0d488c9c8b85c0020c778c1c4d560002000410064006f0062006500200050004400460020bb38c11cb97c0020c791c131d569b2c8b2e4002e0020c774b807ac8c0020c791c131b41c00200050004400460020bb38c11cb2940020004100630072006f0062006100740020bc0f002000410064006f00620065002000520065006100640065007200200035002e00300020c774c0c1c5d0c11c0020c5f40020c2180020c788c2b5b2c8b2e4002e	FEFFc7740020c124c815c7440020c0acc6a9d558c5ec0020b370c2a4d06cd0d10020d504b9b0d1300020bc0f0020ad50c815ae30c5d0c11c0020ace0d488c9c8b85c0020c778c1c4d560002000410064006f0062006500200050004400460020bb38c11cb97c0020c791c131d569b2c8b2e4002e0020c774b807ac8c0020c791c131b41c00200050004400460020bb38c11cb2940020004100630072006f0062006100740020bc0f002000410064006f00620065002000520065006100640065007200200035002e00300020c774c0c1c5d0c11c0020c5f40020c2180020c788c2b5b2c8b2e4002e	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	399	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	682	400	/NLD	/NLD	.
work_egt7fmczgjgbpjnjxzpgy5npoy	682	401	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	682	402	Gebruik	Gebruik	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	403	deze	deze	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	682	404	instellingen	instellingen	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	405	om	om	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	406	Adobe	Adobe	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	407	PDF	PDF	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	408	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	682	409	documenten	documenten	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	410	te	te	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	411	maken	maken	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	412	voor	voor	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	413	kwaliteitsafdrukken	kwaliteitsafdrukken	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	682	414	op	op	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	415	desktopprinters	desktopprinter	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	682	416	en	en	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	682	417	proofers	proofer	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	682	418	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	683	1	De	De	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	683	2	gemaakte	gemaakte	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	683	3	PDF	PDF	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	683	4	-	-	HYPH
work_egt7fmczgjgbpjnjxzpgy5npoy	683	5	documenten	documenten	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	683	6	kunnen	kunnen	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	683	7	worden	worden	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	683	8	geopend	geopend	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	683	9	met	meet	VBD
work_egt7fmczgjgbpjnjxzpgy5npoy	683	10	Acrobat	Acrobat	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	683	11	en	en	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	683	12	Adobe	Adobe	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	683	13	Reader	Reader	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	683	14	5.0	5.0	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	683	15	en	en	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	683	16	hoger	hoger	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	683	17	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	683	18	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	684	1	/NOR	/NOR	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	684	2	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	684	3	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	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	684	4	>	>	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	684	5	/PTB	/PTB	.
work_egt7fmczgjgbpjnjxzpgy5npoy	684	6	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	684	7	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	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	684	8	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	684	9	/SUO	/suo	FW
work_egt7fmczgjgbpjnjxzpgy5npoy	684	10	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	684	11	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	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	684	12	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	684	13	/SVE	/SVE	.
work_egt7fmczgjgbpjnjxzpgy5npoy	684	14	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	684	15	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	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	684	16	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	684	17	/ENU	/ENU	.
work_egt7fmczgjgbpjnjxzpgy5npoy	684	18	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	684	19	Use	use	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	684	20	these	these	DT
work_egt7fmczgjgbpjnjxzpgy5npoy	684	21	settings	setting	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	684	22	to	to	TO
work_egt7fmczgjgbpjnjxzpgy5npoy	684	23	create	create	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	684	24	Adobe	Adobe	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	684	25	PDF	PDF	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	684	26	documents	document	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	684	27	for	for	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	684	28	quality	quality	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	684	29	printing	print	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	684	30	on	on	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	684	31	desktop	desktop	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	684	32	printers	printer	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	684	33	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	684	34	proofers	proofer	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	684	35	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	685	1	Created	create	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	685	2	PDF	PDF	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	685	3	documents	document	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	685	4	can	can	MD
work_egt7fmczgjgbpjnjxzpgy5npoy	685	5	be	be	VB
work_egt7fmczgjgbpjnjxzpgy5npoy	685	6	opened	open	VBN
work_egt7fmczgjgbpjnjxzpgy5npoy	685	7	with	with	IN
work_egt7fmczgjgbpjnjxzpgy5npoy	685	8	Acrobat	Acrobat	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	685	9	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	685	10	Adobe	Adobe	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	685	11	Reader	Reader	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	685	12	5.0	5.0	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	685	13	and	and	CC
work_egt7fmczgjgbpjnjxzpgy5npoy	685	14	later	later	RB
work_egt7fmczgjgbpjnjxzpgy5npoy	685	15	.	.	.
work_egt7fmczgjgbpjnjxzpgy5npoy	685	16	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	1	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	2	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	3	/Namespace	/namespace	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	4	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	5	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	6	Adobe	Adobe	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	686	7	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	8	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	9	Common	Common	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	686	10	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	11	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	12	1.0	1.0	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	686	13	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	14	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	15	/OtherNamespaces	/OtherNamespaces	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	686	16	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	17	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	18	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	19	/AsReaderSpreads	/AsReaderSpreads	,
work_egt7fmczgjgbpjnjxzpgy5npoy	686	20	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	21	/CropImagesToFrames	/CropImagesToFrames	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	686	22	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	23	/ErrorControl	/ErrorControl	.
work_egt7fmczgjgbpjnjxzpgy5npoy	686	24	/WarnAndContinue	/WarnAndContinue	.
work_egt7fmczgjgbpjnjxzpgy5npoy	686	25	/FlattenerIgnoreSpreadOverrides	/FlattenerIgnoreSpreadOverrides	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	686	26	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	27	/IncludeGuidesGrids	/IncludeGuidesGrids	,
work_egt7fmczgjgbpjnjxzpgy5npoy	686	28	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	29	/IncludeNonPrinting	/includenonprinte	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	686	30	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	31	/IncludeSlug	/IncludeSlug	,
work_egt7fmczgjgbpjnjxzpgy5npoy	686	32	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	33	/Namespace	/namespace	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	686	34	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	35	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	36	Adobe	Adobe	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	686	37	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	38	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	39	InDesign	InDesign	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	686	40	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	41	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	42	4.0	4.0	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	686	43	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	44	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	45	/OmitPlacedBitmaps	/OmitPlacedBitmaps	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	686	46	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	47	/OmitPlacedEPS	/OmitPlacedEPS	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	686	48	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	49	/OmitPlacedPDF	/OmitPlacedPDF	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	686	50	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	51	/SimulateOverprint	/SimulateOverprint	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	686	52	/Legacy	/Legacy	.
work_egt7fmczgjgbpjnjxzpgy5npoy	686	53	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	54	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	55	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	56	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	57	/AddBleedMarks	/AddBleedMarks	,
work_egt7fmczgjgbpjnjxzpgy5npoy	686	58	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	59	/AddColorBars	/AddColorBars	:
work_egt7fmczgjgbpjnjxzpgy5npoy	686	60	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	61	/AddCropMarks	/AddCropMarks	,
work_egt7fmczgjgbpjnjxzpgy5npoy	686	62	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	63	/AddPageInfo	/AddPageInfo	,
work_egt7fmczgjgbpjnjxzpgy5npoy	686	64	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	65	/AddRegMarks	/AddRegMarks	,
work_egt7fmczgjgbpjnjxzpgy5npoy	686	66	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	67	/ConvertColors	/convertcolors	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	686	68	/NoConversion	/NoConversion	,
work_egt7fmczgjgbpjnjxzpgy5npoy	686	69	/DestinationProfileName	/DestinationProfileName	.
work_egt7fmczgjgbpjnjxzpgy5npoy	686	70	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	71	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	72	/DestinationProfileSelector	/DestinationProfileSelector	NFP
work_egt7fmczgjgbpjnjxzpgy5npoy	686	73	/NA	/NA	.
work_egt7fmczgjgbpjnjxzpgy5npoy	686	74	/Downsample16BitImages	/Downsample16BitImages	,
work_egt7fmczgjgbpjnjxzpgy5npoy	686	75	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	76	/FlattenerPreset	/FlattenerPreset	.
work_egt7fmczgjgbpjnjxzpgy5npoy	686	77	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	78	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	79	/PresetSelector	/presetselector	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	686	80	/MediumResolution	/MediumResolution	.
work_egt7fmczgjgbpjnjxzpgy5npoy	686	81	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	82	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	83	/FormElements	/formelement	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	686	84	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	85	/GenerateStructure	/generatestructure	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	686	86	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	87	/IncludeBookmarks	/IncludeBookmarks	.
work_egt7fmczgjgbpjnjxzpgy5npoy	686	88	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	89	/IncludeHyperlinks	/includehyperlinks	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	686	90	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	91	/IncludeInteractive	/includeinteractive	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	92	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	93	/IncludeLayers	/IncludeLayers	,
work_egt7fmczgjgbpjnjxzpgy5npoy	686	94	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	95	/IncludeProfiles	/IncludeProfiles	.
work_egt7fmczgjgbpjnjxzpgy5npoy	686	96	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	97	/MultimediaHandling	/multimediahandling	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	686	98	/UseObjectSettings	/UseObjectSettings	.
work_egt7fmczgjgbpjnjxzpgy5npoy	686	99	/Namespace	/Namespace	.
work_egt7fmczgjgbpjnjxzpgy5npoy	686	100	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	101	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	102	Adobe	Adobe	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	686	103	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	104	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	105	CreativeSuite	CreativeSuite	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	686	106	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	107	(	(	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	108	2.0	2.0	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	686	109	)	)	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	110	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	111	/PDFXOutputIntentProfileSelector	/pdfxoutputintentprofileselector	NN
work_egt7fmczgjgbpjnjxzpgy5npoy	686	112	/NA	/NA	.
work_egt7fmczgjgbpjnjxzpgy5npoy	686	113	/PreserveEditing	/preserveedite	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	686	114	true	true	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	115	/UntaggedCMYKHandling	/untaggedcmykhandling	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	116	/LeaveUntagged	/leaveuntagged	PRP$
work_egt7fmczgjgbpjnjxzpgy5npoy	686	117	/UntaggedRGBHandling	/untaggedrgbhandle	VBG
work_egt7fmczgjgbpjnjxzpgy5npoy	686	118	/LeaveUntagged	/leaveuntagged	UH
work_egt7fmczgjgbpjnjxzpgy5npoy	686	119	/UseDocumentBleed	/UseDocumentBleed	,
work_egt7fmczgjgbpjnjxzpgy5npoy	686	120	false	false	JJ
work_egt7fmczgjgbpjnjxzpgy5npoy	686	121	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	122	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	123	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	124	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	125	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	126	setdistillerparams	setdistillerparam	NNS
work_egt7fmczgjgbpjnjxzpgy5npoy	686	127	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	128	<	<	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	129	/HWResolution	/HWResolution	NNP
work_egt7fmczgjgbpjnjxzpgy5npoy	686	130	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	131	2400	2400	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	686	132	2400	2400	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	686	133	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	134	/PageSize	/PageSize	.
work_egt7fmczgjgbpjnjxzpgy5npoy	686	135	[	[	-LRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	136	612.000	612.000	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	686	137	792.000	792.000	CD
work_egt7fmczgjgbpjnjxzpgy5npoy	686	138	]	]	-RRB-
work_egt7fmczgjgbpjnjxzpgy5npoy	686	139	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	140	>	>	XX
work_egt7fmczgjgbpjnjxzpgy5npoy	686	141	setpagedevice	setpagedevice	NN