id	sid	tid	token	lemma	pos
fumecheng-10575	1	1	10575	10575	NUM
fumecheng-10575	1	2	facta	facta	PROPN
fumecheng-10575	1	3	universitatis	universitatis	PROPN
fumecheng-10575	1	4	series	series	NOUN
fumecheng-10575	1	5	:	:	PUNCT
fumecheng-10575	1	6	mechanical	mechanical	ADJ
fumecheng-10575	1	7	engineering	engineering	NOUN
fumecheng-10575	1	8	vol	vol	NOUN
fumecheng-10575	1	9	.	.	PROPN
fumecheng-10575	1	10	20	20	NUM
fumecheng-10575	1	11	,	,	PUNCT
fumecheng-10575	1	12	no	no	DET
fumecheng-10575	1	13	3	3	NUM
fumecheng-10575	1	14	,	,	PUNCT
fumecheng-10575	1	15	2022	2022	NUM
fumecheng-10575	1	16	,	,	PUNCT
fumecheng-10575	1	17	pp	pp	ADV
fumecheng-10575	1	18	.	.	PUNCT
fumecheng-10575	2	1	479	479	NUM
fumecheng-10575	2	2	501	501	NUM
fumecheng-10575	2	3	https://doi.org/10.22190/fume220307022	https://doi.org/10.22190/fume220307022	NOUN
fumecheng-10575	2	4	m	m	NOUN
fumecheng-10575	2	5	©	©	NOUN
fumecheng-10575	2	6	2022	2022	NUM
fumecheng-10575	2	7	by	by	ADP
fumecheng-10575	2	8	university	university	PROPN
fumecheng-10575	2	9	of	of	ADP
fumecheng-10575	2	10	niš	niš	PROPN
fumecheng-10575	2	11	,	,	PUNCT
fumecheng-10575	2	12	serbia	serbia	PROPN
fumecheng-10575	2	13	|	|	ADV
fumecheng-10575	2	14	creative	creative	ADJ
fumecheng-10575	2	15	commons	common	NOUN
fumecheng-10575	2	16	license	license	NOUN
fumecheng-10575	2	17	:	:	PUNCT
fumecheng-10575	2	18	cc	cc	VERB
fumecheng-10575	2	19	by	by	ADP
fumecheng-10575	2	20	-	-	PUNCT
fumecheng-10575	2	21	nc	nc	VERB
fumecheng-10575	2	22	-	-	PUNCT
fumecheng-10575	2	23	nd	nd	ADV
fumecheng-10575	2	24	original	original	ADJ
fumecheng-10575	2	25	scientific	scientific	ADJ
fumecheng-10575	2	26	paper	paper	ADJ
fumecheng-10575	2	27	assessment	assessment	NOUN
fumecheng-10575	2	28	and	and	CCONJ
fumecheng-10575	2	29	performance	performance	NOUN
fumecheng-10575	2	30	analysis	analysis	NOUN
fumecheng-10575	2	31	of	of	ADP
fumecheng-10575	2	32	machine	machine	NOUN
fumecheng-10575	2	33	learning	learn	VERB
fumecheng-10575	2	34	techniques	technique	NOUN
fumecheng-10575	2	35	for	for	ADP
fumecheng-10575	2	36	gas	gas	NOUN
fumecheng-10575	2	37	sensing	sense	VERB
fumecheng-10575	2	38	e	e	NOUN
fumecheng-10575	2	39	-	-	NOUN
fumecheng-10575	2	40	nose	nose	NOUN
fumecheng-10575	2	41	systems	system	NOUN
fumecheng-10575	2	42	lubna	lubna	PROPN
fumecheng-10575	2	43	mahmood1	mahmood1	PROPN
fumecheng-10575	2	44	,	,	PUNCT
fumecheng-10575	2	45	zied	zie	VERB
fumecheng-10575	2	46	bahroun2	bahroun2	PROPN
fumecheng-10575	2	47	,	,	PUNCT
fumecheng-10575	2	48	mehdi	mehdi	PROPN
fumecheng-10575	2	49	ghommem3	ghommem3	PROPN
fumecheng-10575	2	50	,	,	PUNCT
fumecheng-10575	2	51	hussam	hussam	PROPN
fumecheng-10575	2	52	alshraideh2	alshraideh2	PROPN
fumecheng-10575	2	53	1engineering	1engineering	NUM
fumecheng-10575	2	54	systems	system	NOUN
fumecheng-10575	2	55	management	management	NOUN
fumecheng-10575	2	56	graduate	graduate	NOUN
fumecheng-10575	2	57	program	program	NOUN
fumecheng-10575	2	58	,	,	PUNCT
fumecheng-10575	2	59	american	american	PROPN
fumecheng-10575	2	60	university	university	PROPN
fumecheng-10575	2	61	of	of	ADP
fumecheng-10575	2	62	sharjah	sharjah	PROPN
fumecheng-10575	2	63	,	,	PUNCT
fumecheng-10575	2	64	sharjah	sharjah	PROPN
fumecheng-10575	2	65	,	,	PUNCT
fumecheng-10575	2	66	united	united	PROPN
fumecheng-10575	2	67	arab	arab	PROPN
fumecheng-10575	2	68	emirates	emirates	PROPN
fumecheng-10575	3	1	2department	2department	NUM
fumecheng-10575	3	2	of	of	ADP
fumecheng-10575	3	3	industrial	industrial	ADJ
fumecheng-10575	3	4	engineering	engineering	NOUN
fumecheng-10575	3	5	,	,	PUNCT
fumecheng-10575	3	6	american	american	PROPN
fumecheng-10575	3	7	university	university	PROPN
fumecheng-10575	3	8	of	of	ADP
fumecheng-10575	3	9	sharjah	sharjah	PROPN
fumecheng-10575	3	10	,	,	PUNCT
fumecheng-10575	3	11	sharjah	sharjah	PROPN
fumecheng-10575	3	12	,	,	PUNCT
fumecheng-10575	3	13	united	united	PROPN
fumecheng-10575	3	14	arab	arab	PROPN
fumecheng-10575	3	15	emirates	emirates	PROPN
fumecheng-10575	4	1	3department	3department	NUM
fumecheng-10575	4	2	of	of	ADP
fumecheng-10575	4	3	mechanical	mechanical	ADJ
fumecheng-10575	4	4	engineering	engineering	NOUN
fumecheng-10575	4	5	,	,	PUNCT
fumecheng-10575	4	6	american	american	PROPN
fumecheng-10575	4	7	university	university	PROPN
fumecheng-10575	4	8	of	of	ADP
fumecheng-10575	4	9	sharjah	sharjah	PROPN
fumecheng-10575	4	10	,	,	PUNCT
fumecheng-10575	4	11	sharjah	sharjah	PROPN
fumecheng-10575	4	12	,	,	PUNCT
fumecheng-10575	4	13	united	united	PROPN
fumecheng-10575	4	14	arab	arab	PROPN
fumecheng-10575	4	15	emirates	emirates	PROPN
fumecheng-10575	4	16	abstract	abstract	ADJ
fumecheng-10575	4	17	.	.	PUNCT
fumecheng-10575	5	1	e	e	X
fumecheng-10575	5	2	-	-	NOUN
fumecheng-10575	5	3	noses	nose	NOUN
fumecheng-10575	5	4	that	that	PRON
fumecheng-10575	5	5	combine	combine	VERB
fumecheng-10575	5	6	machine	machine	NOUN
fumecheng-10575	5	7	learning	learning	NOUN
fumecheng-10575	5	8	and	and	CCONJ
fumecheng-10575	5	9	gas	gas	NOUN
fumecheng-10575	5	10	sensor	sensor	NOUN
fumecheng-10575	5	11	arrays	array	VERB
fumecheng-10575	5	12	(	(	PUNCT
fumecheng-10575	5	13	gsas	gsa	NOUN
fumecheng-10575	5	14	)	)	PUNCT
fumecheng-10575	5	15	are	be	AUX
fumecheng-10575	5	16	widely	widely	ADV
fumecheng-10575	5	17	used	use	VERB
fumecheng-10575	5	18	for	for	ADP
fumecheng-10575	5	19	the	the	DET
fumecheng-10575	5	20	detection	detection	NOUN
fumecheng-10575	5	21	and	and	CCONJ
fumecheng-10575	5	22	identification	identification	NOUN
fumecheng-10575	5	23	of	of	ADP
fumecheng-10575	5	24	various	various	ADJ
fumecheng-10575	5	25	gases	gas	NOUN
fumecheng-10575	5	26	.	.	PUNCT
fumecheng-10575	6	1	gsas	gsa	NOUN
fumecheng-10575	6	2	produce	produce	VERB
fumecheng-10575	6	3	signals	signal	NOUN
fumecheng-10575	6	4	that	that	PRON
fumecheng-10575	6	5	provide	provide	VERB
fumecheng-10575	6	6	vital	vital	ADJ
fumecheng-10575	6	7	information	information	NOUN
fumecheng-10575	6	8	about	about	ADP
fumecheng-10575	6	9	the	the	DET
fumecheng-10575	6	10	exposed	expose	VERB
fumecheng-10575	6	11	gases	gas	NOUN
fumecheng-10575	6	12	for	for	ADP
fumecheng-10575	6	13	the	the	DET
fumecheng-10575	6	14	machine	machine	NOUN
fumecheng-10575	6	15	learning	learn	VERB
fumecheng-10575	6	16	algorithms	algorithm	NOUN
fumecheng-10575	6	17	,	,	PUNCT
fumecheng-10575	6	18	rendering	render	VERB
fumecheng-10575	6	19	them	they	PRON
fumecheng-10575	6	20	indispensable	indispensable	ADJ
fumecheng-10575	6	21	within	within	ADP
fumecheng-10575	6	22	the	the	DET
fumecheng-10575	6	23	smart	smart	ADJ
fumecheng-10575	6	24	-	-	PUNCT
fumecheng-10575	6	25	gas	gas	NOUN
fumecheng-10575	6	26	sensing	sense	VERB
fumecheng-10575	6	27	arena	arena	NOUN
fumecheng-10575	6	28	.	.	PUNCT
fumecheng-10575	7	1	in	in	ADP
fumecheng-10575	7	2	this	this	DET
fumecheng-10575	7	3	work	work	NOUN
fumecheng-10575	7	4	,	,	PUNCT
fumecheng-10575	7	5	we	we	PRON
fumecheng-10575	7	6	present	present	VERB
fumecheng-10575	7	7	a	a	DET
fumecheng-10575	7	8	detailed	detailed	ADJ
fumecheng-10575	7	9	assessment	assessment	NOUN
fumecheng-10575	7	10	of	of	ADP
fumecheng-10575	7	11	several	several	ADJ
fumecheng-10575	7	12	machine	machine	NOUN
fumecheng-10575	7	13	learning	learn	VERB
fumecheng-10575	7	14	techniques	technique	NOUN
fumecheng-10575	7	15	employed	employ	VERB
fumecheng-10575	7	16	for	for	ADP
fumecheng-10575	7	17	the	the	DET
fumecheng-10575	7	18	detection	detection	NOUN
fumecheng-10575	7	19	of	of	ADP
fumecheng-10575	7	20	gases	gas	NOUN
fumecheng-10575	7	21	and	and	CCONJ
fumecheng-10575	7	22	estimation	estimation	NOUN
fumecheng-10575	7	23	of	of	ADP
fumecheng-10575	7	24	their	their	PRON
fumecheng-10575	7	25	concentrations	concentration	NOUN
fumecheng-10575	7	26	.	.	PUNCT
fumecheng-10575	8	1	the	the	DET
fumecheng-10575	8	2	modeling	modeling	NOUN
fumecheng-10575	8	3	and	and	CCONJ
fumecheng-10575	8	4	predictive	predictive	ADJ
fumecheng-10575	8	5	analysis	analysis	NOUN
fumecheng-10575	8	6	conducted	conduct	VERB
fumecheng-10575	8	7	in	in	ADP
fumecheng-10575	8	8	this	this	DET
fumecheng-10575	8	9	paper	paper	NOUN
fumecheng-10575	8	10	are	be	AUX
fumecheng-10575	8	11	based	base	VERB
fumecheng-10575	8	12	on	on	ADP
fumecheng-10575	8	13	knn	knn	PROPN
fumecheng-10575	8	14	,	,	PUNCT
fumecheng-10575	8	15	ann	ann	PROPN
fumecheng-10575	8	16	,	,	PUNCT
fumecheng-10575	8	17	decision	decision	NOUN
fumecheng-10575	8	18	trees	tree	NOUN
fumecheng-10575	8	19	,	,	PUNCT
fumecheng-10575	8	20	random	random	ADJ
fumecheng-10575	8	21	forests	forest	NOUN
fumecheng-10575	8	22	,	,	PUNCT
fumecheng-10575	8	23	svm	svm	NOUN
fumecheng-10575	8	24	and	and	CCONJ
fumecheng-10575	8	25	other	other	ADJ
fumecheng-10575	8	26	ensembling	ensemble	VERB
fumecheng-10575	8	27	-	-	PUNCT
fumecheng-10575	8	28	based	base	VERB
fumecheng-10575	8	29	techniques	technique	NOUN
fumecheng-10575	8	30	.	.	PUNCT
fumecheng-10575	9	1	predictive	predictive	ADJ
fumecheng-10575	9	2	models	model	NOUN
fumecheng-10575	9	3	are	be	AUX
fumecheng-10575	9	4	implemented	implement	VERB
fumecheng-10575	9	5	and	and	CCONJ
fumecheng-10575	9	6	tested	test	VERB
fumecheng-10575	9	7	on	on	ADP
fumecheng-10575	9	8	three	three	NUM
fumecheng-10575	9	9	different	different	ADJ
fumecheng-10575	9	10	mox	mox	NOUN
fumecheng-10575	9	11	gas	gas	NOUN
fumecheng-10575	9	12	sensor	sensor	NOUN
fumecheng-10575	9	13	-	-	PUNCT
fumecheng-10575	9	14	based	base	VERB
fumecheng-10575	9	15	experimental	experimental	ADJ
fumecheng-10575	9	16	datasets	dataset	NOUN
fumecheng-10575	9	17	as	as	SCONJ
fumecheng-10575	9	18	reported	report	VERB
fumecheng-10575	9	19	in	in	ADP
fumecheng-10575	9	20	the	the	DET
fumecheng-10575	9	21	literature	literature	NOUN
fumecheng-10575	9	22	.	.	PUNCT
fumecheng-10575	10	1	the	the	DET
fumecheng-10575	10	2	assessment	assessment	NOUN
fumecheng-10575	10	3	includes	include	VERB
fumecheng-10575	10	4	a	a	DET
fumecheng-10575	10	5	delineated	delineated	ADJ
fumecheng-10575	10	6	analysis	analysis	NOUN
fumecheng-10575	10	7	of	of	ADP
fumecheng-10575	10	8	the	the	DET
fumecheng-10575	10	9	different	different	ADJ
fumecheng-10575	10	10	models	model	NOUN
fumecheng-10575	10	11	’	'	PUNCT
fumecheng-10575	10	12	performance	performance	NOUN
fumecheng-10575	10	13	followed	follow	VERB
fumecheng-10575	10	14	by	by	ADP
fumecheng-10575	10	15	a	a	DET
fumecheng-10575	10	16	detailed	detailed	ADJ
fumecheng-10575	10	17	comparison	comparison	NOUN
fumecheng-10575	10	18	against	against	ADP
fumecheng-10575	10	19	results	result	NOUN
fumecheng-10575	10	20	found	find	VERB
fumecheng-10575	10	21	in	in	ADP
fumecheng-10575	10	22	the	the	DET
fumecheng-10575	10	23	literature	literature	NOUN
fumecheng-10575	10	24	.	.	PUNCT
fumecheng-10575	11	1	it	it	PRON
fumecheng-10575	11	2	highlights	highlight	VERB
fumecheng-10575	11	3	factors	factor	NOUN
fumecheng-10575	11	4	that	that	PRON
fumecheng-10575	11	5	play	play	VERB
fumecheng-10575	11	6	a	a	DET
fumecheng-10575	11	7	pivotal	pivotal	ADJ
fumecheng-10575	11	8	role	role	NOUN
fumecheng-10575	11	9	in	in	ADP
fumecheng-10575	11	10	machine	machine	NOUN
fumecheng-10575	11	11	learning	learn	VERB
fumecheng-10575	11	12	for	for	ADP
fumecheng-10575	11	13	gas	gas	NOUN
fumecheng-10575	11	14	sensing	sensing	NOUN
fumecheng-10575	11	15	and	and	CCONJ
fumecheng-10575	11	16	sheds	shed	VERB
fumecheng-10575	11	17	light	light	NOUN
fumecheng-10575	11	18	on	on	ADP
fumecheng-10575	11	19	the	the	DET
fumecheng-10575	11	20	predictive	predictive	ADJ
fumecheng-10575	11	21	capability	capability	NOUN
fumecheng-10575	11	22	of	of	ADP
fumecheng-10575	11	23	different	different	ADJ
fumecheng-10575	11	24	machine	machine	NOUN
fumecheng-10575	11	25	learning	learn	VERB
fumecheng-10575	11	26	approaches	approach	NOUN
fumecheng-10575	11	27	applied	apply	VERB
fumecheng-10575	11	28	on	on	ADP
fumecheng-10575	11	29	experimental	experimental	ADJ
fumecheng-10575	11	30	gsa	gsa	PROPN
fumecheng-10575	11	31	datasets	dataset	NOUN
fumecheng-10575	11	32	.	.	PUNCT
fumecheng-10575	12	1	key	key	ADJ
fumecheng-10575	12	2	words	word	NOUN
fumecheng-10575	12	3	:	:	PUNCT
fumecheng-10575	12	4	gas	gas	NOUN
fumecheng-10575	12	5	sensor	sensor	NOUN
fumecheng-10575	12	6	arrays	array	VERB
fumecheng-10575	12	7	,	,	PUNCT
fumecheng-10575	12	8	e	e	NOUN
fumecheng-10575	12	9	-	-	NOUN
fumecheng-10575	12	10	nose	nose	NOUN
fumecheng-10575	12	11	,	,	PUNCT
fumecheng-10575	12	12	machine	machine	NOUN
fumecheng-10575	12	13	learning	learning	NOUN
fumecheng-10575	12	14	,	,	PUNCT
fumecheng-10575	12	15	feature	feature	NOUN
fumecheng-10575	12	16	extraction	extraction	NOUN
fumecheng-10575	12	17	,	,	PUNCT
fumecheng-10575	12	18	feature	feature	NOUN
fumecheng-10575	12	19	selection	selection	NOUN
fumecheng-10575	12	20	,	,	PUNCT
fumecheng-10575	12	21	classification	classification	NOUN
fumecheng-10575	12	22	,	,	PUNCT
fumecheng-10575	12	23	regression	regression	NOUN
fumecheng-10575	12	24	received	receive	VERB
fumecheng-10575	12	25	:	:	PUNCT
fumecheng-10575	12	26	march	march	PROPN
fumecheng-10575	12	27	07	07	NUM
fumecheng-10575	12	28	,	,	PUNCT
fumecheng-10575	12	29	2022	2022	NUM
fumecheng-10575	12	30	/	/	SYM
fumecheng-10575	12	31	accepted	accept	VERB
fumecheng-10575	12	32	may	may	AUX
fumecheng-10575	12	33	10	10	NUM
fumecheng-10575	12	34	,	,	PUNCT
fumecheng-10575	12	35	2022	2022	NUM
fumecheng-10575	12	36	corresponding	correspond	VERB
fumecheng-10575	12	37	author	author	NOUN
fumecheng-10575	12	38	:	:	PUNCT
fumecheng-10575	12	39	mehdi	mehdi	PROPN
fumecheng-10575	12	40	ghommem	ghommem	PROPN
fumecheng-10575	12	41	department	department	PROPN
fumecheng-10575	12	42	of	of	ADP
fumecheng-10575	12	43	mechanical	mechanical	ADJ
fumecheng-10575	12	44	engineering	engineering	NOUN
fumecheng-10575	12	45	,	,	PUNCT
fumecheng-10575	12	46	american	american	PROPN
fumecheng-10575	12	47	university	university	PROPN
fumecheng-10575	12	48	of	of	ADP
fumecheng-10575	12	49	sharjah	sharjah	PROPN
fumecheng-10575	12	50	,	,	PUNCT
fumecheng-10575	12	51	p.o	p.o	PROPN
fumecheng-10575	12	52	.	.	PROPN
fumecheng-10575	12	53	box	box	PROPN
fumecheng-10575	12	54	26666	26666	NUM
fumecheng-10575	12	55	,	,	PUNCT
fumecheng-10575	12	56	sharjah	sharjah	PROPN
fumecheng-10575	12	57	,	,	PUNCT
fumecheng-10575	12	58	united	united	PROPN
fumecheng-10575	12	59	arab	arab	PROPN
fumecheng-10575	12	60	emirates	emirates	PROPN
fumecheng-10575	12	61	.	.	PUNCT
fumecheng-10575	13	1	e	e	X
fumecheng-10575	13	2	-	-	NOUN
fumecheng-10575	13	3	mail	mail	NOUN
fumecheng-10575	13	4	:	:	PUNCT
fumecheng-10575	13	5	mghommem@aus.edu	mghommem@aus.edu	PROPN
fumecheng-10575	13	6	480	480	NUM
fumecheng-10575	13	7	l.	l.	PROPN
fumecheng-10575	13	8	mahmood	mahmood	PROPN
fumecheng-10575	13	9	,	,	PUNCT
fumecheng-10575	13	10	z.	z.	PROPN
fumecheng-10575	13	11	bahroun	bahroun	PROPN
fumecheng-10575	13	12	,	,	PUNCT
fumecheng-10575	13	13	m.	m.	NOUN
fumecheng-10575	13	14	ghommem	ghommem	PROPN
fumecheng-10575	13	15	,	,	PUNCT
fumecheng-10575	13	16	h.	h.	PROPN
fumecheng-10575	13	17	alshraideh	alshraideh	PROPN
fumecheng-10575	13	18	1	1	X
fumecheng-10575	13	19	.	.	PUNCT
fumecheng-10575	14	1	introduction	introduction	NOUN
fumecheng-10575	14	2	gas	gas	NOUN
fumecheng-10575	14	3	sensing	sense	VERB
fumecheng-10575	14	4	technology	technology	NOUN
fumecheng-10575	14	5	which	which	PRON
fumecheng-10575	14	6	now	now	ADV
fumecheng-10575	14	7	encompasses	encompass	VERB
fumecheng-10575	14	8	the	the	DET
fumecheng-10575	14	9	e	e	PROPN
fumecheng-10575	14	10	-	-	NOUN
fumecheng-10575	14	11	nose	nose	NOUN
fumecheng-10575	14	12	systems	system	NOUN
fumecheng-10575	14	13	has	have	AUX
fumecheng-10575	14	14	witnessed	witness	VERB
fumecheng-10575	14	15	tremendous	tremendous	ADJ
fumecheng-10575	14	16	growth	growth	NOUN
fumecheng-10575	14	17	in	in	ADP
fumecheng-10575	14	18	the	the	DET
fumecheng-10575	14	19	past	past	ADJ
fumecheng-10575	14	20	few	few	ADJ
fumecheng-10575	14	21	decades	decade	NOUN
fumecheng-10575	14	22	.	.	PUNCT
fumecheng-10575	15	1	since	since	SCONJ
fumecheng-10575	15	2	the	the	DET
fumecheng-10575	15	3	advent	advent	NOUN
fumecheng-10575	15	4	of	of	ADP
fumecheng-10575	15	5	e	e	NOUN
fumecheng-10575	15	6	-	-	NOUN
fumecheng-10575	15	7	noses	nose	NOUN
fumecheng-10575	15	8	in	in	ADP
fumecheng-10575	15	9	the	the	DET
fumecheng-10575	15	10	late	late	ADJ
fumecheng-10575	15	11	20th	20th	ADJ
fumecheng-10575	15	12	century	century	NOUN
fumecheng-10575	15	13	,	,	PUNCT
fumecheng-10575	15	14	gas	gas	NOUN
fumecheng-10575	15	15	sensing	sense	VERB
fumecheng-10575	15	16	technology	technology	NOUN
fumecheng-10575	15	17	has	have	AUX
fumecheng-10575	15	18	experienced	experience	VERB
fumecheng-10575	15	19	an	an	DET
fumecheng-10575	15	20	accelerating	accelerate	VERB
fumecheng-10575	15	21	trend	trend	NOUN
fumecheng-10575	15	22	in	in	ADP
fumecheng-10575	15	23	the	the	DET
fumecheng-10575	15	24	development	development	NOUN
fumecheng-10575	15	25	of	of	ADP
fumecheng-10575	15	26	different	different	ADJ
fumecheng-10575	15	27	types	type	NOUN
fumecheng-10575	15	28	of	of	ADP
fumecheng-10575	15	29	gsas	gsa	NOUN
fumecheng-10575	15	30	that	that	PRON
fumecheng-10575	15	31	can	can	AUX
fumecheng-10575	15	32	be	be	AUX
fumecheng-10575	15	33	employed	employ	VERB
fumecheng-10575	15	34	in	in	ADP
fumecheng-10575	15	35	e	e	NOUN
fumecheng-10575	15	36	-	-	NOUN
fumecheng-10575	15	37	noses	nose	NOUN
fumecheng-10575	15	38	[	[	X
fumecheng-10575	15	39	1	1	NUM
fumecheng-10575	15	40	-	-	SYM
fumecheng-10575	15	41	3	3	NUM
fumecheng-10575	15	42	]	]	PUNCT
fumecheng-10575	15	43	.	.	PUNCT
fumecheng-10575	16	1	these	these	DET
fumecheng-10575	16	2	developments	development	NOUN
fumecheng-10575	16	3	come	come	VERB
fumecheng-10575	16	4	in	in	ADP
fumecheng-10575	16	5	light	light	NOUN
fumecheng-10575	16	6	of	of	ADP
fumecheng-10575	16	7	different	different	ADJ
fumecheng-10575	16	8	technologies	technology	NOUN
fumecheng-10575	16	9	that	that	PRON
fumecheng-10575	16	10	have	have	AUX
fumecheng-10575	16	11	been	be	AUX
fumecheng-10575	16	12	deployed	deploy	VERB
fumecheng-10575	16	13	for	for	ADP
fumecheng-10575	16	14	manufacturing	manufacture	VERB
fumecheng-10575	16	15	gas	gas	NOUN
fumecheng-10575	16	16	sensors	sensor	NOUN
fumecheng-10575	16	17	.	.	PUNCT
fumecheng-10575	17	1	sensors	sensor	NOUN
fumecheng-10575	17	2	based	base	VERB
fumecheng-10575	17	3	on	on	ADP
fumecheng-10575	17	4	metal	metal	NOUN
fumecheng-10575	17	5	-	-	PUNCT
fumecheng-10575	17	6	oxide	oxide	NOUN
fumecheng-10575	17	7	(	(	PUNCT
fumecheng-10575	17	8	mox	mox	NOUN
fumecheng-10575	17	9	)	)	PUNCT
fumecheng-10575	17	10	semiconductors	semiconductor	NOUN
fumecheng-10575	17	11	[	[	X
fumecheng-10575	17	12	4,5	4,5	NUM
fumecheng-10575	17	13	]	]	PUNCT
fumecheng-10575	17	14	,	,	PUNCT
fumecheng-10575	17	15	carbon	carbon	NOUN
fumecheng-10575	17	16	-	-	PUNCT
fumecheng-10575	17	17	nano	nano	NOUN
fumecheng-10575	17	18	materials	material	NOUN
fumecheng-10575	17	19	[	[	X
fumecheng-10575	17	20	6,7	6,7	NUM
fumecheng-10575	17	21	]	]	PUNCT
fumecheng-10575	17	22	and	and	CCONJ
fumecheng-10575	17	23	polymer	polymer	NOUN
fumecheng-10575	17	24	composites	composite	NOUN
fumecheng-10575	17	25	[	[	X
fumecheng-10575	17	26	8,9	8,9	NUM
fumecheng-10575	17	27	]	]	X
fumecheng-10575	17	28	operate	operate	VERB
fumecheng-10575	17	29	on	on	ADP
fumecheng-10575	17	30	electrochemical	electrochemical	ADJ
fumecheng-10575	17	31	principles	principle	NOUN
fumecheng-10575	17	32	,	,	PUNCT
fumecheng-10575	17	33	whereas	whereas	ADV
fumecheng-10575	17	34	,	,	PUNCT
fumecheng-10575	17	35	acoustic	acoustic	ADJ
fumecheng-10575	17	36	[	[	X
fumecheng-10575	17	37	10	10	NUM
fumecheng-10575	17	38	]	]	PUNCT
fumecheng-10575	17	39	and	and	CCONJ
fumecheng-10575	17	40	infrared	infrare	VERB
fumecheng-10575	17	41	[	[	X
fumecheng-10575	17	42	11	11	NUM
fumecheng-10575	17	43	]	]	PUNCT
fumecheng-10575	17	44	sensors	sensor	NOUN
fumecheng-10575	17	45	focus	focus	VERB
fumecheng-10575	17	46	on	on	ADP
fumecheng-10575	17	47	non	non	ADJ
fumecheng-10575	17	48	-	-	ADJ
fumecheng-10575	17	49	electrochemical	electrochemical	ADJ
fumecheng-10575	17	50	operating	operating	NOUN
fumecheng-10575	17	51	principles	principle	NOUN
fumecheng-10575	17	52	.	.	PUNCT
fumecheng-10575	18	1	as	as	ADP
fumecheng-10575	18	2	a	a	DET
fumecheng-10575	18	3	consequence	consequence	NOUN
fumecheng-10575	18	4	,	,	PUNCT
fumecheng-10575	18	5	e	e	NOUN
fumecheng-10575	18	6	-	-	NOUN
fumecheng-10575	18	7	noses	nose	NOUN
fumecheng-10575	18	8	are	be	AUX
fumecheng-10575	18	9	currently	currently	ADV
fumecheng-10575	18	10	used	use	VERB
fumecheng-10575	18	11	in	in	ADP
fumecheng-10575	18	12	a	a	DET
fumecheng-10575	18	13	plethora	plethora	NOUN
fumecheng-10575	18	14	of	of	ADP
fumecheng-10575	18	15	applications	application	NOUN
fumecheng-10575	18	16	that	that	PRON
fumecheng-10575	18	17	require	require	VERB
fumecheng-10575	18	18	detection	detection	NOUN
fumecheng-10575	18	19	of	of	ADP
fumecheng-10575	18	20	the	the	DET
fumecheng-10575	18	21	gas	gas	NOUN
fumecheng-10575	18	22	type	type	NOUN
fumecheng-10575	18	23	and	and	CCONJ
fumecheng-10575	18	24	in	in	ADP
fumecheng-10575	18	25	many	many	ADJ
fumecheng-10575	18	26	cases	case	NOUN
fumecheng-10575	18	27	,	,	PUNCT
fumecheng-10575	18	28	the	the	DET
fumecheng-10575	18	29	estimation	estimation	NOUN
fumecheng-10575	18	30	of	of	ADP
fumecheng-10575	18	31	the	the	DET
fumecheng-10575	18	32	gas	gas	NOUN
fumecheng-10575	18	33	concentrations	concentration	NOUN
fumecheng-10575	18	34	.	.	PUNCT
fumecheng-10575	19	1	given	give	VERB
fumecheng-10575	19	2	the	the	DET
fumecheng-10575	19	3	correlation	correlation	NOUN
fumecheng-10575	19	4	of	of	ADP
fumecheng-10575	19	5	radon	radon	NOUN
fumecheng-10575	19	6	with	with	ADP
fumecheng-10575	19	7	the	the	DET
fumecheng-10575	19	8	occurrence	occurrence	NOUN
fumecheng-10575	19	9	of	of	ADP
fumecheng-10575	19	10	lung	lung	NOUN
fumecheng-10575	19	11	cancer	cancer	NOUN
fumecheng-10575	19	12	,	,	PUNCT
fumecheng-10575	19	13	blanco	blanco	NOUN
fumecheng-10575	19	14	-	-	PUNCT
fumecheng-10575	19	15	novoa	novoa	NOUN
fumecheng-10575	19	16	et	et	PROPN
fumecheng-10575	19	17	al	al	PROPN
fumecheng-10575	19	18	.	.	PROPN
fumecheng-10575	19	19	proposed	propose	VERB
fumecheng-10575	19	20	an	an	DET
fumecheng-10575	19	21	iot	iot	NOUN
fumecheng-10575	19	22	system	system	NOUN
fumecheng-10575	19	23	for	for	ADP
fumecheng-10575	19	24	estimating	estimate	VERB
fumecheng-10575	19	25	radon	radon	ADJ
fumecheng-10575	19	26	concentrations	concentration	NOUN
fumecheng-10575	19	27	that	that	PRON
fumecheng-10575	19	28	could	could	AUX
fumecheng-10575	19	29	further	far	ADV
fumecheng-10575	19	30	activate	activate	VERB
fumecheng-10575	19	31	mitigation	mitigation	NOUN
fumecheng-10575	19	32	devices	device	NOUN
fumecheng-10575	19	33	to	to	PART
fumecheng-10575	19	34	reduce	reduce	VERB
fumecheng-10575	19	35	its	its	PRON
fumecheng-10575	19	36	concentration	concentration	NOUN
fumecheng-10575	19	37	in	in	ADP
fumecheng-10575	19	38	indoor	indoor	ADJ
fumecheng-10575	19	39	environments	environment	NOUN
fumecheng-10575	20	1	[	[	X
fumecheng-10575	20	2	12	12	NUM
fumecheng-10575	20	3	]	]	PUNCT
fumecheng-10575	20	4	.	.	PUNCT
fumecheng-10575	21	1	besides	besides	SCONJ
fumecheng-10575	21	2	air	air	NOUN
fumecheng-10575	21	3	quality	quality	NOUN
fumecheng-10575	21	4	control	control	NOUN
fumecheng-10575	21	5	,	,	PUNCT
fumecheng-10575	21	6	e	e	NOUN
fumecheng-10575	21	7	-	-	NOUN
fumecheng-10575	21	8	noses	nose	NOUN
fumecheng-10575	21	9	have	have	AUX
fumecheng-10575	21	10	been	be	AUX
fumecheng-10575	21	11	employed	employ	VERB
fumecheng-10575	21	12	for	for	ADP
fumecheng-10575	21	13	detecting	detect	VERB
fumecheng-10575	21	14	the	the	DET
fumecheng-10575	21	15	freshness	freshness	NOUN
fumecheng-10575	21	16	levels	level	NOUN
fumecheng-10575	21	17	of	of	ADP
fumecheng-10575	21	18	different	different	ADJ
fumecheng-10575	21	19	kinds	kind	NOUN
fumecheng-10575	21	20	of	of	ADP
fumecheng-10575	21	21	meat	meat	NOUN
fumecheng-10575	21	22	based	base	VERB
fumecheng-10575	21	23	on	on	ADP
fumecheng-10575	21	24	their	their	PRON
fumecheng-10575	21	25	odor	odor	NOUN
fumecheng-10575	21	26	level	level	NOUN
fumecheng-10575	21	27	,	,	PUNCT
fumecheng-10575	21	28	thereby	thereby	ADV
fumecheng-10575	21	29	,	,	PUNCT
fumecheng-10575	21	30	showing	show	VERB
fumecheng-10575	21	31	promising	promising	ADJ
fumecheng-10575	21	32	results	result	NOUN
fumecheng-10575	21	33	for	for	ADP
fumecheng-10575	21	34	food	food	NOUN
fumecheng-10575	21	35	quality	quality	NOUN
fumecheng-10575	21	36	control	control	NOUN
fumecheng-10575	21	37	[	[	X
fumecheng-10575	21	38	13	13	NUM
fumecheng-10575	21	39	]	]	PUNCT
fumecheng-10575	21	40	.	.	PUNCT
fumecheng-10575	22	1	wireless	wireless	ADJ
fumecheng-10575	22	2	sensor	sensor	NOUN
fumecheng-10575	22	3	networks	network	NOUN
fumecheng-10575	22	4	are	be	AUX
fumecheng-10575	22	5	also	also	ADV
fumecheng-10575	22	6	used	use	VERB
fumecheng-10575	22	7	to	to	PART
fumecheng-10575	22	8	detect	detect	VERB
fumecheng-10575	22	9	and	and	CCONJ
fumecheng-10575	22	10	keep	keep	VERB
fumecheng-10575	22	11	ammonia	ammonia	NOUN
fumecheng-10575	22	12	gas	gas	NOUN
fumecheng-10575	22	13	levels	level	NOUN
fumecheng-10575	22	14	in	in	ADP
fumecheng-10575	22	15	check	check	NOUN
fumecheng-10575	22	16	to	to	PART
fumecheng-10575	22	17	minimize	minimize	VERB
fumecheng-10575	22	18	the	the	DET
fumecheng-10575	22	19	environmental	environmental	ADJ
fumecheng-10575	22	20	hazard	hazard	NOUN
fumecheng-10575	22	21	they	they	PRON
fumecheng-10575	22	22	might	might	AUX
fumecheng-10575	22	23	pose	pose	VERB
fumecheng-10575	22	24	within	within	ADP
fumecheng-10575	22	25	the	the	DET
fumecheng-10575	22	26	livestock	livestock	NOUN
fumecheng-10575	22	27	environment	environment	NOUN
fumecheng-10575	23	1	[	[	X
fumecheng-10575	23	2	14	14	NUM
fumecheng-10575	23	3	]	]	PUNCT
fumecheng-10575	23	4	.	.	PUNCT
fumecheng-10575	24	1	furthermore	furthermore	ADV
fumecheng-10575	24	2	,	,	PUNCT
fumecheng-10575	24	3	the	the	DET
fumecheng-10575	24	4	ability	ability	NOUN
fumecheng-10575	24	5	of	of	ADP
fumecheng-10575	24	6	the	the	DET
fumecheng-10575	24	7	e	e	NOUN
fumecheng-10575	24	8	-	-	NOUN
fumecheng-10575	24	9	noses	nose	NOUN
fumecheng-10575	24	10	to	to	PART
fumecheng-10575	24	11	offer	offer	VERB
fumecheng-10575	24	12	a	a	DET
fumecheng-10575	24	13	relatively	relatively	ADV
fumecheng-10575	24	14	inexpensive	inexpensive	ADJ
fumecheng-10575	24	15	and	and	CCONJ
fumecheng-10575	24	16	fast	fast	ADJ
fumecheng-10575	24	17	mechanism	mechanism	NOUN
fumecheng-10575	24	18	for	for	ADP
fumecheng-10575	24	19	the	the	DET
fumecheng-10575	24	20	detection	detection	NOUN
fumecheng-10575	24	21	of	of	ADP
fumecheng-10575	24	22	various	various	ADJ
fumecheng-10575	24	23	chemical	chemical	NOUN
fumecheng-10575	24	24	compounds	compound	NOUN
fumecheng-10575	24	25	has	have	AUX
fumecheng-10575	24	26	made	make	VERB
fumecheng-10575	24	27	them	they	PRON
fumecheng-10575	24	28	increasingly	increasingly	ADV
fumecheng-10575	24	29	viable	viable	ADJ
fumecheng-10575	24	30	for	for	ADP
fumecheng-10575	24	31	medical	medical	ADJ
fumecheng-10575	24	32	diagnosis	diagnosis	NOUN
fumecheng-10575	24	33	,	,	PUNCT
fumecheng-10575	24	34	for	for	ADP
fumecheng-10575	24	35	example	example	NOUN
fumecheng-10575	24	36	,	,	PUNCT
fumecheng-10575	24	37	monitoring	monitor	VERB
fumecheng-10575	24	38	diabetes	diabetes	NOUN
fumecheng-10575	24	39	based	base	VERB
fumecheng-10575	24	40	on	on	ADP
fumecheng-10575	24	41	exhaled	exhale	VERB
fumecheng-10575	24	42	acetone	acetone	NOUN
fumecheng-10575	24	43	levels	level	NOUN
fumecheng-10575	24	44	[	[	X
fumecheng-10575	24	45	15	15	NUM
fumecheng-10575	24	46	]	]	PUNCT
fumecheng-10575	24	47	.	.	PUNCT
fumecheng-10575	25	1	machine	machine	NOUN
fumecheng-10575	25	2	learning	learn	VERB
fumecheng-10575	25	3	within	within	ADP
fumecheng-10575	25	4	the	the	DET
fumecheng-10575	25	5	e	e	NOUN
fumecheng-10575	25	6	-	-	NOUN
fumecheng-10575	25	7	nose	nose	NOUN
fumecheng-10575	25	8	forms	form	VERB
fumecheng-10575	25	9	a	a	DET
fumecheng-10575	25	10	vital	vital	ADJ
fumecheng-10575	25	11	component	component	NOUN
fumecheng-10575	25	12	of	of	ADP
fumecheng-10575	25	13	the	the	DET
fumecheng-10575	25	14	smart	smart	ADJ
fumecheng-10575	25	15	gas	gas	NOUN
fumecheng-10575	25	16	-	-	PUNCT
fumecheng-10575	25	17	detection	detection	NOUN
fumecheng-10575	25	18	platform	platform	NOUN
fumecheng-10575	25	19	.	.	PUNCT
fumecheng-10575	26	1	the	the	DET
fumecheng-10575	26	2	sensing	sense	VERB
fumecheng-10575	26	3	materials	material	NOUN
fumecheng-10575	26	4	of	of	ADP
fumecheng-10575	26	5	the	the	DET
fumecheng-10575	26	6	gsas	gsa	NOUN
fumecheng-10575	26	7	develop	develop	VERB
fumecheng-10575	26	8	a	a	DET
fumecheng-10575	26	9	sensory	sensory	ADJ
fumecheng-10575	26	10	response	response	NOUN
fumecheng-10575	26	11	,	,	PUNCT
fumecheng-10575	26	12	based	base	VERB
fumecheng-10575	26	13	on	on	ADP
fumecheng-10575	26	14	the	the	DET
fumecheng-10575	26	15	type	type	NOUN
fumecheng-10575	26	16	of	of	ADP
fumecheng-10575	26	17	sensor	sensor	NOUN
fumecheng-10575	26	18	,	,	PUNCT
fumecheng-10575	26	19	to	to	ADP
fumecheng-10575	26	20	the	the	DET
fumecheng-10575	26	21	exposed	expose	VERB
fumecheng-10575	26	22	chemical	chemical	NOUN
fumecheng-10575	26	23	compounds	compound	NOUN
fumecheng-10575	26	24	which	which	PRON
fumecheng-10575	26	25	is	be	AUX
fumecheng-10575	26	26	then	then	ADV
fumecheng-10575	26	27	exploited	exploit	VERB
fumecheng-10575	26	28	by	by	ADP
fumecheng-10575	26	29	machine	machine	NOUN
fumecheng-10575	26	30	learning	learn	VERB
fumecheng-10575	26	31	algorithms	algorithm	NOUN
fumecheng-10575	26	32	for	for	ADP
fumecheng-10575	26	33	their	their	PRON
fumecheng-10575	26	34	identification	identification	NOUN
fumecheng-10575	26	35	[	[	X
fumecheng-10575	26	36	16	16	NUM
fumecheng-10575	26	37	]	]	PUNCT
fumecheng-10575	26	38	.	.	PUNCT
fumecheng-10575	27	1	despite	despite	SCONJ
fumecheng-10575	27	2	their	their	PRON
fumecheng-10575	27	3	supreme	supreme	ADJ
fumecheng-10575	27	4	functionality	functionality	NOUN
fumecheng-10575	27	5	,	,	PUNCT
fumecheng-10575	27	6	gsas	gsa	NOUN
fumecheng-10575	27	7	are	be	AUX
fumecheng-10575	27	8	often	often	ADV
fumecheng-10575	27	9	riddled	riddle	VERB
fumecheng-10575	27	10	with	with	ADP
fumecheng-10575	27	11	challenges	challenge	NOUN
fumecheng-10575	27	12	that	that	PRON
fumecheng-10575	27	13	impact	impact	VERB
fumecheng-10575	27	14	their	their	PRON
fumecheng-10575	27	15	selectivity	selectivity	NOUN
fumecheng-10575	27	16	,	,	PUNCT
fumecheng-10575	27	17	sensitivity	sensitivity	NOUN
fumecheng-10575	27	18	,	,	PUNCT
fumecheng-10575	27	19	stability	stability	NOUN
fumecheng-10575	27	20	and	and	CCONJ
fumecheng-10575	27	21	their	their	PRON
fumecheng-10575	27	22	ability	ability	NOUN
fumecheng-10575	27	23	to	to	PART
fumecheng-10575	27	24	render	render	VERB
fumecheng-10575	27	25	a	a	DET
fumecheng-10575	27	26	viable	viable	ADJ
fumecheng-10575	27	27	sensor	sensor	NOUN
fumecheng-10575	27	28	response	response	NOUN
fumecheng-10575	27	29	[	[	X
fumecheng-10575	27	30	17	17	NUM
fumecheng-10575	27	31	]	]	PUNCT
fumecheng-10575	27	32	.	.	PUNCT
fumecheng-10575	28	1	while	while	SCONJ
fumecheng-10575	28	2	many	many	ADJ
fumecheng-10575	28	3	of	of	ADP
fumecheng-10575	28	4	these	these	DET
fumecheng-10575	28	5	challenges	challenge	NOUN
fumecheng-10575	28	6	are	be	AUX
fumecheng-10575	28	7	influenced	influence	VERB
fumecheng-10575	28	8	by	by	ADP
fumecheng-10575	28	9	the	the	DET
fumecheng-10575	28	10	sensors	sensor	NOUN
fumecheng-10575	28	11	’	'	PUNCT
fumecheng-10575	28	12	external	external	ADJ
fumecheng-10575	28	13	environment	environment	NOUN
fumecheng-10575	28	14	and	and	CCONJ
fumecheng-10575	28	15	have	have	AUX
fumecheng-10575	28	16	been	be	AUX
fumecheng-10575	28	17	tackled	tackle	VERB
fumecheng-10575	28	18	by	by	ADP
fumecheng-10575	28	19	implementing	implement	VERB
fumecheng-10575	28	20	different	different	ADJ
fumecheng-10575	28	21	sensor	sensor	NOUN
fumecheng-10575	28	22	fabrication	fabrication	NOUN
fumecheng-10575	28	23	technologies	technology	NOUN
fumecheng-10575	28	24	,	,	PUNCT
fumecheng-10575	28	25	some	some	DET
fumecheng-10575	28	26	challenges	challenge	NOUN
fumecheng-10575	28	27	such	such	ADJ
fumecheng-10575	28	28	as	as	ADP
fumecheng-10575	28	29	sensor	sensor	NOUN
fumecheng-10575	28	30	drift	drift	NOUN
fumecheng-10575	28	31	[	[	X
fumecheng-10575	28	32	18,19	18,19	NUM
fumecheng-10575	28	33	]	]	PUNCT
fumecheng-10575	28	34	remain	remain	VERB
fumecheng-10575	28	35	widely	widely	ADV
fumecheng-10575	28	36	adverse	adverse	ADJ
fumecheng-10575	28	37	.	.	PUNCT
fumecheng-10575	29	1	the	the	DET
fumecheng-10575	29	2	two	two	NUM
fumecheng-10575	29	3	primary	primary	ADJ
fumecheng-10575	29	4	types	type	NOUN
fumecheng-10575	29	5	of	of	ADP
fumecheng-10575	29	6	drift	drift	NOUN
fumecheng-10575	29	7	include	include	VERB
fumecheng-10575	29	8	the	the	DET
fumecheng-10575	29	9	‘	'	PUNCT
fumecheng-10575	29	10	first	first	ADJ
fumecheng-10575	29	11	-	-	PUNCT
fumecheng-10575	29	12	order	order	NOUN
fumecheng-10575	29	13	’	'	PUNCT
fumecheng-10575	29	14	drift	drift	NOUN
fumecheng-10575	29	15	which	which	PRON
fumecheng-10575	29	16	occurs	occur	VERB
fumecheng-10575	29	17	due	due	ADP
fumecheng-10575	29	18	to	to	ADP
fumecheng-10575	29	19	the	the	DET
fumecheng-10575	29	20	chemical	chemical	NOUN
fumecheng-10575	29	21	interaction	interaction	NOUN
fumecheng-10575	29	22	between	between	ADP
fumecheng-10575	29	23	the	the	DET
fumecheng-10575	29	24	sensor	sensor	NOUN
fumecheng-10575	29	25	surface	surface	NOUN
fumecheng-10575	29	26	and	and	CCONJ
fumecheng-10575	29	27	the	the	DET
fumecheng-10575	29	28	exposed	expose	VERB
fumecheng-10575	29	29	gas	gas	NOUN
fumecheng-10575	29	30	.	.	PUNCT
fumecheng-10575	30	1	this	this	PRON
fumecheng-10575	30	2	could	could	AUX
fumecheng-10575	30	3	result	result	VERB
fumecheng-10575	30	4	in	in	ADP
fumecheng-10575	30	5	aging	aging	NOUN
fumecheng-10575	30	6	and	and	CCONJ
fumecheng-10575	30	7	an	an	DET
fumecheng-10575	30	8	irreversible	irreversible	ADJ
fumecheng-10575	30	9	poisoning	poisoning	NOUN
fumecheng-10575	30	10	of	of	ADP
fumecheng-10575	30	11	the	the	DET
fumecheng-10575	30	12	sensor	sensor	NOUN
fumecheng-10575	30	13	surface	surface	NOUN
fumecheng-10575	30	14	due	due	ADP
fumecheng-10575	30	15	to	to	ADP
fumecheng-10575	30	16	prolonged	prolonged	ADJ
fumecheng-10575	30	17	gas	gas	NOUN
fumecheng-10575	30	18	exposure	exposure	NOUN
fumecheng-10575	30	19	.	.	PUNCT
fumecheng-10575	31	1	‘	'	PUNCT
fumecheng-10575	31	2	second	second	ADJ
fumecheng-10575	31	3	-	-	PUNCT
fumecheng-10575	31	4	order	order	NOUN
fumecheng-10575	31	5	’	'	PUNCT
fumecheng-10575	31	6	drift	drift	NOUN
fumecheng-10575	31	7	,	,	PUNCT
fumecheng-10575	31	8	on	on	ADP
fumecheng-10575	31	9	the	the	DET
fumecheng-10575	31	10	other	other	ADJ
fumecheng-10575	31	11	hand	hand	NOUN
fumecheng-10575	31	12	,	,	PUNCT
fumecheng-10575	31	13	is	be	AUX
fumecheng-10575	31	14	attributed	attribute	VERB
fumecheng-10575	31	15	to	to	ADP
fumecheng-10575	31	16	external	external	ADJ
fumecheng-10575	31	17	factors	factor	NOUN
fumecheng-10575	31	18	such	such	ADJ
fumecheng-10575	31	19	as	as	ADP
fumecheng-10575	31	20	fluctuations	fluctuation	NOUN
fumecheng-10575	31	21	in	in	ADP
fumecheng-10575	31	22	the	the	DET
fumecheng-10575	31	23	environment	environment	NOUN
fumecheng-10575	31	24	or	or	CCONJ
fumecheng-10575	31	25	aberrant	aberrant	ADJ
fumecheng-10575	31	26	changes	change	NOUN
fumecheng-10575	31	27	in	in	ADP
fumecheng-10575	31	28	the	the	DET
fumecheng-10575	31	29	experimental	experimental	ADJ
fumecheng-10575	31	30	conditions	condition	NOUN
fumecheng-10575	31	31	.	.	PUNCT
fumecheng-10575	32	1	to	to	PART
fumecheng-10575	32	2	overcome	overcome	VERB
fumecheng-10575	32	3	the	the	DET
fumecheng-10575	32	4	challenges	challenge	NOUN
fumecheng-10575	32	5	of	of	ADP
fumecheng-10575	32	6	a	a	DET
fumecheng-10575	32	7	single	single	ADJ
fumecheng-10575	32	8	gas	gas	NOUN
fumecheng-10575	32	9	sensor	sensor	NOUN
fumecheng-10575	32	10	,	,	PUNCT
fumecheng-10575	32	11	e	e	NOUN
fumecheng-10575	32	12	-	-	NOUN
fumecheng-10575	32	13	noses	nose	NOUN
fumecheng-10575	32	14	combine	combine	VERB
fumecheng-10575	32	15	gsas	gsa	NOUN
fumecheng-10575	32	16	with	with	ADP
fumecheng-10575	32	17	machine	machine	NOUN
fumecheng-10575	32	18	learning	learn	VERB
fumecheng-10575	32	19	to	to	PART
fumecheng-10575	32	20	mimic	mimic	VERB
fumecheng-10575	32	21	the	the	DET
fumecheng-10575	32	22	human	human	ADJ
fumecheng-10575	32	23	olfactory	olfactory	NOUN
fumecheng-10575	32	24	system	system	NOUN
fumecheng-10575	32	25	in	in	ADP
fumecheng-10575	32	26	detecting	detect	VERB
fumecheng-10575	32	27	/	/	SYM
fumecheng-10575	32	28	identifying	identify	VERB
fumecheng-10575	32	29	various	various	ADJ
fumecheng-10575	32	30	chemical	chemical	NOUN
fumecheng-10575	32	31	compounds	compound	NOUN
fumecheng-10575	32	32	.	.	PUNCT
fumecheng-10575	33	1	machine	machine	NOUN
fumecheng-10575	33	2	learning	learn	VERB
fumecheng-10575	33	3	for	for	ADP
fumecheng-10575	33	4	e	e	NOUN
fumecheng-10575	33	5	-	-	NOUN
fumecheng-10575	33	6	nose	nose	NOUN
fumecheng-10575	33	7	systems	system	NOUN
fumecheng-10575	33	8	generally	generally	ADV
fumecheng-10575	33	9	addresses	address	VERB
fumecheng-10575	33	10	two	two	NUM
fumecheng-10575	33	11	primary	primary	ADJ
fumecheng-10575	33	12	tasks	task	NOUN
fumecheng-10575	33	13	,	,	PUNCT
fumecheng-10575	33	14	classification	classification	NOUN
fumecheng-10575	33	15	in	in	ADP
fumecheng-10575	33	16	which	which	PRON
fumecheng-10575	33	17	the	the	DET
fumecheng-10575	33	18	type	type	NOUN
fumecheng-10575	33	19	of	of	ADP
fumecheng-10575	33	20	chemical	chemical	NOUN
fumecheng-10575	33	21	compound	compound	NOUN
fumecheng-10575	33	22	is	be	AUX
fumecheng-10575	33	23	identified	identify	VERB
fumecheng-10575	33	24	and	and	CCONJ
fumecheng-10575	33	25	regression	regression	NOUN
fumecheng-10575	33	26	in	in	ADP
fumecheng-10575	33	27	which	which	PRON
fumecheng-10575	33	28	chemical	chemical	NOUN
fumecheng-10575	33	29	compound	compound	NOUN
fumecheng-10575	33	30	concentration	concentration	NOUN
fumecheng-10575	33	31	is	be	AUX
fumecheng-10575	33	32	estimated	estimate	VERB
fumecheng-10575	33	33	[	[	X
fumecheng-10575	33	34	20	20	NUM
fumecheng-10575	33	35	]	]	PUNCT
fumecheng-10575	33	36	.	.	PUNCT
fumecheng-10575	34	1	based	base	VERB
fumecheng-10575	34	2	on	on	ADP
fumecheng-10575	34	3	the	the	DET
fumecheng-10575	34	4	sensory	sensory	ADJ
fumecheng-10575	34	5	response	response	NOUN
fumecheng-10575	34	6	to	to	ADP
fumecheng-10575	34	7	a	a	DET
fumecheng-10575	34	8	particular	particular	ADJ
fumecheng-10575	34	9	chemical	chemical	NOUN
fumecheng-10575	34	10	compound	compound	NOUN
fumecheng-10575	34	11	,	,	PUNCT
fumecheng-10575	34	12	which	which	PRON
fumecheng-10575	34	13	represents	represent	VERB
fumecheng-10575	34	14	the	the	DET
fumecheng-10575	34	15	sensor	sensor	NOUN
fumecheng-10575	34	16	signal	signal	NOUN
fumecheng-10575	34	17	,	,	PUNCT
fumecheng-10575	34	18	machine	machine	NOUN
fumecheng-10575	34	19	learning	learn	VERB
fumecheng-10575	34	20	techniques	technique	NOUN
fumecheng-10575	34	21	attempt	attempt	VERB
fumecheng-10575	34	22	to	to	PART
fumecheng-10575	34	23	extract	extract	VERB
fumecheng-10575	34	24	relevant	relevant	ADJ
fumecheng-10575	34	25	characteristics	characteristic	NOUN
fumecheng-10575	34	26	from	from	ADP
fumecheng-10575	34	27	the	the	DET
fumecheng-10575	34	28	sensor	sensor	NOUN
fumecheng-10575	34	29	signals	signal	NOUN
fumecheng-10575	34	30	using	use	VERB
fumecheng-10575	34	31	feature	feature	NOUN
fumecheng-10575	34	32	extraction	extraction	NOUN
fumecheng-10575	34	33	and	and	CCONJ
fumecheng-10575	34	34	feature	feature	NOUN
fumecheng-10575	34	35	selection	selection	NOUN
fumecheng-10575	34	36	[	[	X
fumecheng-10575	34	37	21	21	NUM
fumecheng-10575	34	38	]	]	PUNCT
fumecheng-10575	34	39	.	.	PUNCT
fumecheng-10575	35	1	this	this	DET
fumecheng-10575	35	2	approach	approach	NOUN
fumecheng-10575	35	3	of	of	ADP
fumecheng-10575	35	4	feature	feature	NOUN
fumecheng-10575	35	5	extraction	extraction	NOUN
fumecheng-10575	35	6	was	be	AUX
fumecheng-10575	35	7	implemented	implement	VERB
fumecheng-10575	35	8	by	by	ADP
fumecheng-10575	35	9	vergara	vergara	PROPN
fumecheng-10575	35	10	et	et	PROPN
fumecheng-10575	35	11	al	al	PROPN
fumecheng-10575	35	12	.	.	PUNCT
fumecheng-10575	35	13	to	to	PART
fumecheng-10575	35	14	classify	classify	VERB
fumecheng-10575	35	15	six	six	NUM
fumecheng-10575	35	16	different	different	ADJ
fumecheng-10575	35	17	gases	gas	NOUN
fumecheng-10575	35	18	,	,	PUNCT
fumecheng-10575	35	19	i.e.	i.e.	X
fumecheng-10575	35	20	,	,	PUNCT
fumecheng-10575	35	21	ethylene	ethylene	NOUN
fumecheng-10575	35	22	,	,	PUNCT
fumecheng-10575	35	23	ethanol	ethanol	NOUN
fumecheng-10575	35	24	,	,	PUNCT
fumecheng-10575	35	25	ammonia	ammonia	NOUN
fumecheng-10575	35	26	,	,	PUNCT
fumecheng-10575	35	27	acetaldehyde	acetaldehyde	NOUN
fumecheng-10575	35	28	,	,	PUNCT
fumecheng-10575	35	29	acetone	acetone	NOUN
fumecheng-10575	35	30	and	and	CCONJ
fumecheng-10575	35	31	toluene	toluene	NOUN
fumecheng-10575	35	32	,	,	PUNCT
fumecheng-10575	35	33	keeping	keep	VERB
fumecheng-10575	35	34	in	in	ADP
fumecheng-10575	35	35	mind	mind	NOUN
fumecheng-10575	35	36	the	the	DET
fumecheng-10575	35	37	challenge	challenge	NOUN
fumecheng-10575	35	38	of	of	ADP
fumecheng-10575	35	39	sensor	sensor	NOUN
fumecheng-10575	35	40	drift	drift	NOUN
fumecheng-10575	35	41	[	[	X
fumecheng-10575	35	42	19	19	NUM
fumecheng-10575	35	43	]	]	PUNCT
fumecheng-10575	35	44	.	.	PUNCT
fumecheng-10575	36	1	an	an	DET
fumecheng-10575	36	2	extensive	extensive	ADJ
fumecheng-10575	36	3	dataset	dataset	NOUN
fumecheng-10575	36	4	that	that	PRON
fumecheng-10575	36	5	rendered	render	VERB
fumecheng-10575	36	6	the	the	DET
fumecheng-10575	36	7	gas	gas	NOUN
fumecheng-10575	36	8	type	type	NOUN
fumecheng-10575	36	9	and	and	CCONJ
fumecheng-10575	36	10	concentration	concentration	NOUN
fumecheng-10575	36	11	obtained	obtain	VERB
fumecheng-10575	36	12	from	from	ADP
fumecheng-10575	36	13	16	16	NUM
fumecheng-10575	36	14	mox	mox	NOUN
fumecheng-10575	36	15	sensors	sensor	NOUN
fumecheng-10575	36	16	,	,	PUNCT
fumecheng-10575	36	17	was	be	AUX
fumecheng-10575	36	18	used	use	VERB
fumecheng-10575	36	19	to	to	PART
fumecheng-10575	36	20	implement	implement	VERB
fumecheng-10575	36	21	support	support	NOUN
fumecheng-10575	36	22	vector	vector	NOUN
fumecheng-10575	36	23	machine	machine	NOUN
fumecheng-10575	36	24	(	(	PUNCT
fumecheng-10575	36	25	svm	svm	PROPN
fumecheng-10575	36	26	)	)	PUNCT
fumecheng-10575	36	27	ensemble	ensemble	ADJ
fumecheng-10575	36	28	classifiers	classifier	NOUN
fumecheng-10575	36	29	to	to	PART
fumecheng-10575	36	30	improve	improve	VERB
fumecheng-10575	36	31	gas	gas	NOUN
fumecheng-10575	36	32	detection	detection	NOUN
fumecheng-10575	36	33	and	and	CCONJ
fumecheng-10575	36	34	counteract	counteract	VERB
fumecheng-10575	36	35	assessment	assessment	NOUN
fumecheng-10575	36	36	and	and	CCONJ
fumecheng-10575	36	37	performance	performance	NOUN
fumecheng-10575	36	38	analysis	analysis	NOUN
fumecheng-10575	36	39	of	of	ADP
fumecheng-10575	36	40	machine	machine	NOUN
fumecheng-10575	36	41	learning	learn	VERB
fumecheng-10575	36	42	techniques	technique	NOUN
fumecheng-10575	36	43	for	for	ADP
fumecheng-10575	36	44	gas	gas	NOUN
fumecheng-10575	36	45	sensing	sense	VERB
fumecheng-10575	36	46	e	e	NOUN
fumecheng-10575	36	47	-	-	NOUN
fumecheng-10575	36	48	nose	nose	NOUN
fumecheng-10575	36	49	...	...	PUNCT
fumecheng-10575	36	50	481	481	NUM
fumecheng-10575	36	51	sensor	sensor	NOUN
fumecheng-10575	36	52	drift	drift	NOUN
fumecheng-10575	36	53	simultaneously	simultaneously	ADV
fumecheng-10575	36	54	.	.	PUNCT
fumecheng-10575	37	1	akin	akin	ADJ
fumecheng-10575	37	2	to	to	ADP
fumecheng-10575	37	3	the	the	DET
fumecheng-10575	37	4	work	work	NOUN
fumecheng-10575	37	5	presented	present	VERB
fumecheng-10575	37	6	in	in	ADP
fumecheng-10575	37	7	[	[	X
fumecheng-10575	37	8	19	19	NUM
fumecheng-10575	37	9	]	]	PUNCT
fumecheng-10575	37	10	,	,	PUNCT
fumecheng-10575	37	11	adhikari	adhikari	PROPN
fumecheng-10575	37	12	and	and	CCONJ
fumecheng-10575	37	13	saha	saha	PROPN
fumecheng-10575	37	14	proposed	propose	VERB
fumecheng-10575	37	15	the	the	DET
fumecheng-10575	37	16	use	use	NOUN
fumecheng-10575	37	17	of	of	ADP
fumecheng-10575	37	18	artificial	artificial	ADJ
fumecheng-10575	37	19	neural	neural	ADJ
fumecheng-10575	37	20	network	network	NOUN
fumecheng-10575	37	21	(	(	PUNCT
fumecheng-10575	37	22	ann	ann	PROPN
fumecheng-10575	37	23	)	)	PUNCT
fumecheng-10575	37	24	as	as	ADP
fumecheng-10575	37	25	a	a	DET
fumecheng-10575	37	26	deep	deep	ADJ
fumecheng-10575	37	27	learning	learning	NOUN
fumecheng-10575	37	28	network	network	NOUN
fumecheng-10575	38	1	[	[	X
fumecheng-10575	38	2	22,23	22,23	NOUN
fumecheng-10575	38	3	]	]	X
fumecheng-10575	38	4	and	and	CCONJ
fumecheng-10575	38	5	k	k	NOUN
fumecheng-10575	38	6	-	-	PUNCT
fumecheng-10575	38	7	nearest	near	ADJ
fumecheng-10575	38	8	neighbors	neighbor	NOUN
fumecheng-10575	38	9	(	(	PUNCT
fumecheng-10575	38	10	knn	knn	PROPN
fumecheng-10575	38	11	)	)	PUNCT
fumecheng-10575	38	12	ensembles	ensemble	NOUN
fumecheng-10575	38	13	to	to	PART
fumecheng-10575	38	14	correctly	correctly	ADV
fumecheng-10575	38	15	identify	identify	VERB
fumecheng-10575	38	16	the	the	DET
fumecheng-10575	38	17	six	six	NUM
fumecheng-10575	38	18	gases	gas	NOUN
fumecheng-10575	38	19	in	in	ADP
fumecheng-10575	38	20	the	the	DET
fumecheng-10575	38	21	face	face	NOUN
fumecheng-10575	38	22	of	of	ADP
fumecheng-10575	38	23	drift	drift	NOUN
fumecheng-10575	38	24	[	[	X
fumecheng-10575	38	25	24	24	NUM
fumecheng-10575	38	26	]	]	PUNCT
fumecheng-10575	38	27	.	.	PUNCT
fumecheng-10575	39	1	the	the	DET
fumecheng-10575	39	2	dataset	dataset	NOUN
fumecheng-10575	39	3	consisting	consist	VERB
fumecheng-10575	39	4	of	of	ADP
fumecheng-10575	39	5	six	six	NUM
fumecheng-10575	39	6	gas	gas	NOUN
fumecheng-10575	39	7	classes	class	NOUN
fumecheng-10575	39	8	,	,	PUNCT
fumecheng-10575	39	9	posed	pose	VERB
fumecheng-10575	39	10	a	a	DET
fumecheng-10575	39	11	multi	multi	ADJ
fumecheng-10575	39	12	-	-	ADJ
fumecheng-10575	39	13	class	class	ADJ
fumecheng-10575	39	14	classification	classification	NOUN
fumecheng-10575	39	15	task	task	NOUN
fumecheng-10575	39	16	that	that	PRON
fumecheng-10575	39	17	was	be	AUX
fumecheng-10575	39	18	tackled	tackle	VERB
fumecheng-10575	39	19	using	use	VERB
fumecheng-10575	39	20	ensembles	ensemble	NOUN
fumecheng-10575	39	21	combining	combine	VERB
fumecheng-10575	39	22	several	several	ADJ
fumecheng-10575	39	23	machine	machine	NOUN
fumecheng-10575	39	24	learning	learn	VERB
fumecheng-10575	39	25	algorithms	algorithm	NOUN
fumecheng-10575	39	26	to	to	PART
fumecheng-10575	39	27	render	render	VERB
fumecheng-10575	39	28	the	the	DET
fumecheng-10575	39	29	final	final	ADJ
fumecheng-10575	39	30	classification	classification	NOUN
fumecheng-10575	39	31	result	result	NOUN
fumecheng-10575	39	32	.	.	PUNCT
fumecheng-10575	40	1	in	in	ADP
fumecheng-10575	40	2	addition	addition	NOUN
fumecheng-10575	40	3	to	to	ADP
fumecheng-10575	40	4	being	be	AUX
fumecheng-10575	40	5	used	use	VERB
fumecheng-10575	40	6	for	for	ADP
fumecheng-10575	40	7	classification	classification	NOUN
fumecheng-10575	40	8	,	,	PUNCT
fumecheng-10575	40	9	the	the	DET
fumecheng-10575	40	10	dataset	dataset	NOUN
fumecheng-10575	40	11	was	be	AUX
fumecheng-10575	40	12	employed	employ	VERB
fumecheng-10575	40	13	to	to	PART
fumecheng-10575	40	14	perform	perform	VERB
fumecheng-10575	40	15	regression	regression	NOUN
fumecheng-10575	40	16	to	to	PART
fumecheng-10575	40	17	predict	predict	VERB
fumecheng-10575	40	18	the	the	DET
fumecheng-10575	40	19	gas	gas	NOUN
fumecheng-10575	40	20	concentrations	concentration	NOUN
fumecheng-10575	40	21	.	.	PUNCT
fumecheng-10575	41	1	rehman	rehman	PROPN
fumecheng-10575	41	2	and	and	CCONJ
fumecheng-10575	41	3	bermak	bermak	PROPN
fumecheng-10575	41	4	proposed	propose	VERB
fumecheng-10575	41	5	a	a	DET
fumecheng-10575	41	6	machine	machine	NOUN
fumecheng-10575	41	7	learning	learn	VERB
fumecheng-10575	41	8	algorithm	algorithm	NOUN
fumecheng-10575	41	9	that	that	PRON
fumecheng-10575	41	10	incorporated	incorporate	VERB
fumecheng-10575	41	11	feature	feature	NOUN
fumecheng-10575	41	12	selection	selection	NOUN
fumecheng-10575	41	13	within	within	ADP
fumecheng-10575	41	14	the	the	DET
fumecheng-10575	41	15	regression	regression	NOUN
fumecheng-10575	41	16	model	model	NOUN
fumecheng-10575	41	17	[	[	X
fumecheng-10575	41	18	25	25	NUM
fumecheng-10575	41	19	]	]	PUNCT
fumecheng-10575	41	20	.	.	PUNCT
fumecheng-10575	42	1	through	through	ADP
fumecheng-10575	42	2	feature	feature	NOUN
fumecheng-10575	42	3	selection	selection	NOUN
fumecheng-10575	42	4	,	,	PUNCT
fumecheng-10575	42	5	the	the	DET
fumecheng-10575	42	6	predictive	predictive	ADJ
fumecheng-10575	42	7	model	model	NOUN
fumecheng-10575	42	8	was	be	AUX
fumecheng-10575	42	9	able	able	ADJ
fumecheng-10575	42	10	to	to	PART
fumecheng-10575	42	11	identify	identify	VERB
fumecheng-10575	42	12	relevant	relevant	ADJ
fumecheng-10575	42	13	characteristics	characteristic	NOUN
fumecheng-10575	42	14	from	from	ADP
fumecheng-10575	42	15	the	the	DET
fumecheng-10575	42	16	sensor	sensor	NOUN
fumecheng-10575	42	17	responses	response	NOUN
fumecheng-10575	42	18	to	to	PART
fumecheng-10575	42	19	help	help	VERB
fumecheng-10575	42	20	estimate	estimate	VERB
fumecheng-10575	42	21	the	the	DET
fumecheng-10575	42	22	concentrations	concentration	NOUN
fumecheng-10575	42	23	for	for	ADP
fumecheng-10575	42	24	each	each	PRON
fumecheng-10575	42	25	of	of	ADP
fumecheng-10575	42	26	the	the	DET
fumecheng-10575	42	27	six	six	NUM
fumecheng-10575	42	28	gases	gas	NOUN
fumecheng-10575	42	29	.	.	PUNCT
fumecheng-10575	43	1	using	use	VERB
fumecheng-10575	43	2	predictive	predictive	ADJ
fumecheng-10575	43	3	models	model	NOUN
fumecheng-10575	43	4	,	,	PUNCT
fumecheng-10575	43	5	feature	feature	NOUN
fumecheng-10575	43	6	extraction	extraction	NOUN
fumecheng-10575	43	7	,	,	PUNCT
fumecheng-10575	43	8	and	and	CCONJ
fumecheng-10575	43	9	feature	feature	NOUN
fumecheng-10575	43	10	selection	selection	NOUN
fumecheng-10575	43	11	for	for	SCONJ
fumecheng-10575	43	12	classification	classification	NOUN
fumecheng-10575	43	13	and	and	CCONJ
fumecheng-10575	43	14	regression	regression	NOUN
fumecheng-10575	43	15	using	use	VERB
fumecheng-10575	43	16	different	different	ADJ
fumecheng-10575	43	17	gsa	gsa	PROPN
fumecheng-10575	43	18	datasets	dataset	NOUN
fumecheng-10575	43	19	,	,	PUNCT
fumecheng-10575	43	20	previous	previous	ADJ
fumecheng-10575	43	21	studies	study	NOUN
fumecheng-10575	43	22	have	have	AUX
fumecheng-10575	43	23	worked	work	VERB
fumecheng-10575	43	24	towards	towards	ADP
fumecheng-10575	43	25	improving	improve	VERB
fumecheng-10575	43	26	the	the	DET
fumecheng-10575	43	27	performance	performance	NOUN
fumecheng-10575	43	28	of	of	ADP
fumecheng-10575	43	29	the	the	DET
fumecheng-10575	43	30	e	e	NOUN
fumecheng-10575	43	31	-	-	NOUN
fumecheng-10575	43	32	nose	nose	NOUN
fumecheng-10575	43	33	system	system	NOUN
fumecheng-10575	43	34	.	.	PUNCT
fumecheng-10575	44	1	consequently	consequently	ADV
fumecheng-10575	44	2	,	,	PUNCT
fumecheng-10575	44	3	significant	significant	ADJ
fumecheng-10575	44	4	advancements	advancement	NOUN
fumecheng-10575	44	5	in	in	ADP
fumecheng-10575	44	6	different	different	ADJ
fumecheng-10575	44	7	machine	machine	NOUN
fumecheng-10575	44	8	learning	learn	VERB
fumecheng-10575	44	9	techniques	technique	NOUN
fumecheng-10575	44	10	continue	continue	VERB
fumecheng-10575	44	11	to	to	PART
fumecheng-10575	44	12	help	help	VERB
fumecheng-10575	44	13	tackle	tackle	VERB
fumecheng-10575	44	14	the	the	DET
fumecheng-10575	44	15	challenges	challenge	NOUN
fumecheng-10575	44	16	faced	face	VERB
fumecheng-10575	44	17	by	by	ADP
fumecheng-10575	44	18	gsas	gsa	NOUN
fumecheng-10575	44	19	while	while	SCONJ
fumecheng-10575	44	20	ameliorating	ameliorate	VERB
fumecheng-10575	44	21	their	their	PRON
fumecheng-10575	44	22	performance	performance	NOUN
fumecheng-10575	44	23	for	for	ADP
fumecheng-10575	44	24	different	different	ADJ
fumecheng-10575	44	25	applications	application	NOUN
fumecheng-10575	44	26	.	.	PUNCT
fumecheng-10575	45	1	this	this	DET
fumecheng-10575	45	2	paper	paper	NOUN
fumecheng-10575	45	3	first	first	ADV
fumecheng-10575	45	4	presents	present	VERB
fumecheng-10575	45	5	the	the	DET
fumecheng-10575	45	6	general	general	ADJ
fumecheng-10575	45	7	computational	computational	ADJ
fumecheng-10575	45	8	framework	framework	NOUN
fumecheng-10575	45	9	used	use	VERB
fumecheng-10575	45	10	for	for	ADP
fumecheng-10575	45	11	smart	smart	ADJ
fumecheng-10575	45	12	gas	gas	NOUN
fumecheng-10575	45	13	sensing	sensing	NOUN
fumecheng-10575	45	14	and	and	CCONJ
fumecheng-10575	45	15	discusses	discuss	VERB
fumecheng-10575	45	16	several	several	ADJ
fumecheng-10575	45	17	predictive	predictive	ADJ
fumecheng-10575	45	18	techniques	technique	NOUN
fumecheng-10575	45	19	used	use	VERB
fumecheng-10575	45	20	in	in	ADP
fumecheng-10575	45	21	an	an	DET
fumecheng-10575	45	22	e	e	NOUN
fumecheng-10575	45	23	-	-	NOUN
fumecheng-10575	45	24	nose	nose	NOUN
fumecheng-10575	45	25	system	system	NOUN
fumecheng-10575	45	26	.	.	PUNCT
fumecheng-10575	46	1	the	the	DET
fumecheng-10575	46	2	framework	framework	NOUN
fumecheng-10575	46	3	is	be	AUX
fumecheng-10575	46	4	applied	apply	VERB
fumecheng-10575	46	5	to	to	PART
fumecheng-10575	46	6	assess	assess	VERB
fumecheng-10575	46	7	the	the	DET
fumecheng-10575	46	8	performance	performance	NOUN
fumecheng-10575	46	9	of	of	ADP
fumecheng-10575	46	10	different	different	ADJ
fumecheng-10575	46	11	machine	machine	NOUN
fumecheng-10575	46	12	learning	learn	VERB
fumecheng-10575	46	13	techniques	technique	NOUN
fumecheng-10575	46	14	using	use	VERB
fumecheng-10575	46	15	three	three	NUM
fumecheng-10575	46	16	different	different	ADJ
fumecheng-10575	46	17	experimental	experimental	ADJ
fumecheng-10575	46	18	datasets	dataset	NOUN
fumecheng-10575	46	19	that	that	PRON
fumecheng-10575	46	20	were	be	AUX
fumecheng-10575	46	21	previously	previously	ADV
fumecheng-10575	46	22	obtained	obtain	VERB
fumecheng-10575	46	23	from	from	ADP
fumecheng-10575	46	24	mox	mox	NOUN
fumecheng-10575	46	25	gas	gas	NOUN
fumecheng-10575	46	26	sensors	sensor	NOUN
fumecheng-10575	46	27	.	.	PUNCT
fumecheng-10575	47	1	the	the	DET
fumecheng-10575	47	2	assessment	assessment	NOUN
fumecheng-10575	47	3	entails	entail	VERB
fumecheng-10575	47	4	a	a	DET
fumecheng-10575	47	5	detailed	detailed	ADJ
fumecheng-10575	47	6	analysis	analysis	NOUN
fumecheng-10575	47	7	of	of	ADP
fumecheng-10575	47	8	their	their	PRON
fumecheng-10575	47	9	implementation	implementation	NOUN
fumecheng-10575	47	10	on	on	ADP
fumecheng-10575	47	11	the	the	DET
fumecheng-10575	47	12	selected	select	VERB
fumecheng-10575	47	13	datasets	dataset	NOUN
fumecheng-10575	47	14	and	and	CCONJ
fumecheng-10575	47	15	a	a	DET
fumecheng-10575	47	16	comparison	comparison	NOUN
fumecheng-10575	47	17	of	of	ADP
fumecheng-10575	47	18	their	their	PRON
fumecheng-10575	47	19	results	result	NOUN
fumecheng-10575	47	20	against	against	ADP
fumecheng-10575	47	21	those	those	PRON
fumecheng-10575	47	22	obtained	obtain	VERB
fumecheng-10575	47	23	from	from	ADP
fumecheng-10575	47	24	previously	previously	ADV
fumecheng-10575	47	25	-	-	PUNCT
fumecheng-10575	47	26	published	publish	VERB
fumecheng-10575	47	27	studies	study	NOUN
fumecheng-10575	47	28	.	.	PUNCT
fumecheng-10575	48	1	finally	finally	ADV
fumecheng-10575	48	2	,	,	PUNCT
fumecheng-10575	48	3	we	we	PRON
fumecheng-10575	48	4	summarize	summarize	VERB
fumecheng-10575	48	5	the	the	DET
fumecheng-10575	48	6	main	main	ADJ
fumecheng-10575	48	7	findings	finding	NOUN
fumecheng-10575	48	8	of	of	ADP
fumecheng-10575	48	9	the	the	DET
fumecheng-10575	48	10	present	present	ADJ
fumecheng-10575	48	11	work	work	NOUN
fumecheng-10575	48	12	and	and	CCONJ
fumecheng-10575	48	13	conclude	conclude	VERB
fumecheng-10575	48	14	with	with	ADP
fumecheng-10575	48	15	some	some	DET
fumecheng-10575	48	16	remarks	remark	NOUN
fumecheng-10575	48	17	.	.	PUNCT
fumecheng-10575	49	1	2	2	X
fumecheng-10575	49	2	.	.	X
fumecheng-10575	49	3	machine	machine	NOUN
fumecheng-10575	49	4	learning	learning	NOUN
fumecheng-10575	49	5	-	-	PUNCT
fumecheng-10575	49	6	based	base	VERB
fumecheng-10575	49	7	approach	approach	NOUN
fumecheng-10575	49	8	for	for	ADP
fumecheng-10575	49	9	gas	gas	NOUN
fumecheng-10575	49	10	sensing	sense	VERB
fumecheng-10575	49	11	smart	smart	ADJ
fumecheng-10575	49	12	gas	gas	NOUN
fumecheng-10575	49	13	sensing	sensing	NOUN
fumecheng-10575	49	14	using	use	VERB
fumecheng-10575	49	15	e	e	NOUN
fumecheng-10575	49	16	-	-	NOUN
fumecheng-10575	49	17	noses	nose	NOUN
fumecheng-10575	49	18	for	for	ADP
fumecheng-10575	49	19	classification	classification	NOUN
fumecheng-10575	49	20	and	and	CCONJ
fumecheng-10575	49	21	regression	regression	NOUN
fumecheng-10575	49	22	involves	involve	VERB
fumecheng-10575	49	23	three	three	NUM
fumecheng-10575	49	24	vital	vital	ADJ
fumecheng-10575	49	25	steps	step	NOUN
fumecheng-10575	49	26	as	as	SCONJ
fumecheng-10575	49	27	shown	show	VERB
fumecheng-10575	49	28	in	in	ADP
fumecheng-10575	49	29	fig	fig	NOUN
fumecheng-10575	49	30	.	.	PUNCT
fumecheng-10575	50	1	1	1	X
fumecheng-10575	50	2	.	.	PUNCT
fumecheng-10575	50	3	multiple	multiple	ADJ
fumecheng-10575	50	4	sensors	sensor	NOUN
fumecheng-10575	50	5	in	in	ADP
fumecheng-10575	50	6	the	the	DET
fumecheng-10575	50	7	gsa	gsa	PROPN
fumecheng-10575	50	8	generate	generate	VERB
fumecheng-10575	50	9	a	a	DET
fumecheng-10575	50	10	unique	unique	ADJ
fumecheng-10575	50	11	sensory	sensory	ADJ
fumecheng-10575	50	12	response	response	NOUN
fumecheng-10575	50	13	in	in	ADP
fumecheng-10575	50	14	the	the	DET
fumecheng-10575	50	15	form	form	NOUN
fumecheng-10575	50	16	of	of	ADP
fumecheng-10575	50	17	a	a	DET
fumecheng-10575	50	18	time	time	NOUN
fumecheng-10575	50	19	-	-	PUNCT
fumecheng-10575	50	20	series	series	NOUN
fumecheng-10575	50	21	signal	signal	NOUN
fumecheng-10575	50	22	for	for	ADP
fumecheng-10575	50	23	each	each	DET
fumecheng-10575	50	24	gas	gas	NOUN
fumecheng-10575	50	25	they	they	PRON
fumecheng-10575	50	26	are	be	AUX
fumecheng-10575	50	27	exposed	expose	VERB
fumecheng-10575	50	28	to	to	ADP
fumecheng-10575	50	29	,	,	PUNCT
fumecheng-10575	50	30	depending	depend	VERB
fumecheng-10575	50	31	on	on	ADP
fumecheng-10575	50	32	the	the	DET
fumecheng-10575	50	33	type	type	NOUN
fumecheng-10575	50	34	of	of	ADP
fumecheng-10575	50	35	sensor	sensor	NOUN
fumecheng-10575	50	36	being	be	AUX
fumecheng-10575	50	37	used	use	VERB
fumecheng-10575	50	38	and	and	CCONJ
fumecheng-10575	50	39	its	its	PRON
fumecheng-10575	50	40	operating	operating	NOUN
fumecheng-10575	50	41	principle	principle	NOUN
fumecheng-10575	50	42	.	.	PUNCT
fumecheng-10575	51	1	in	in	ADP
fumecheng-10575	51	2	several	several	ADJ
fumecheng-10575	51	3	cases	case	NOUN
fumecheng-10575	51	4	,	,	PUNCT
fumecheng-10575	51	5	the	the	DET
fumecheng-10575	51	6	sensors	sensor	NOUN
fumecheng-10575	51	7	undergo	undergo	VERB
fumecheng-10575	51	8	a	a	DET
fumecheng-10575	51	9	physical	physical	ADJ
fumecheng-10575	51	10	or	or	CCONJ
fumecheng-10575	51	11	chemical	chemical	NOUN
fumecheng-10575	51	12	change	change	NOUN
fumecheng-10575	51	13	that	that	PRON
fumecheng-10575	51	14	results	result	VERB
fumecheng-10575	51	15	in	in	ADP
fumecheng-10575	51	16	a	a	DET
fumecheng-10575	51	17	measurable	measurable	ADJ
fumecheng-10575	51	18	sensor	sensor	NOUN
fumecheng-10575	51	19	output	output	NOUN
fumecheng-10575	51	20	.	.	PUNCT
fumecheng-10575	52	1	for	for	ADP
fumecheng-10575	52	2	instance	instance	NOUN
fumecheng-10575	52	3	,	,	PUNCT
fumecheng-10575	52	4	the	the	DET
fumecheng-10575	52	5	sensor	sensor	NOUN
fumecheng-10575	52	6	output	output	NOUN
fumecheng-10575	52	7	could	could	AUX
fumecheng-10575	52	8	be	be	AUX
fumecheng-10575	52	9	measured	measure	VERB
fumecheng-10575	52	10	as	as	ADP
fumecheng-10575	52	11	the	the	DET
fumecheng-10575	52	12	change	change	NOUN
fumecheng-10575	52	13	in	in	ADP
fumecheng-10575	52	14	electrical	electrical	ADJ
fumecheng-10575	52	15	resistance	resistance	NOUN
fumecheng-10575	52	16	or	or	CCONJ
fumecheng-10575	52	17	conductance	conductance	NOUN
fumecheng-10575	52	18	of	of	ADP
fumecheng-10575	52	19	a	a	DET
fumecheng-10575	52	20	sensitive	sensitive	ADJ
fumecheng-10575	52	21	material	material	NOUN
fumecheng-10575	52	22	when	when	SCONJ
fumecheng-10575	52	23	exposed	expose	VERB
fumecheng-10575	52	24	to	to	ADP
fumecheng-10575	52	25	a	a	DET
fumecheng-10575	52	26	particular	particular	ADJ
fumecheng-10575	52	27	gas	gas	NOUN
fumecheng-10575	52	28	.	.	PUNCT
fumecheng-10575	53	1	as	as	ADP
fumecheng-10575	53	2	a	a	DET
fumecheng-10575	53	3	result	result	NOUN
fumecheng-10575	53	4	,	,	PUNCT
fumecheng-10575	53	5	the	the	DET
fumecheng-10575	53	6	sensor	sensor	NOUN
fumecheng-10575	53	7	response	response	NOUN
fumecheng-10575	53	8	is	be	AUX
fumecheng-10575	53	9	typically	typically	ADV
fumecheng-10575	53	10	referred	refer	VERB
fumecheng-10575	53	11	to	to	ADP
fumecheng-10575	53	12	as	as	ADP
fumecheng-10575	53	13	a	a	DET
fumecheng-10575	53	14	unique	unique	ADJ
fumecheng-10575	53	15	fingerprint	fingerprint	NOUN
fumecheng-10575	53	16	that	that	PRON
fumecheng-10575	53	17	is	be	AUX
fumecheng-10575	53	18	specific	specific	ADJ
fumecheng-10575	53	19	to	to	ADP
fumecheng-10575	53	20	a	a	DET
fumecheng-10575	53	21	certain	certain	ADJ
fumecheng-10575	53	22	gas	gas	NOUN
fumecheng-10575	53	23	and	and	CCONJ
fumecheng-10575	53	24	a	a	DET
fumecheng-10575	53	25	particular	particular	ADJ
fumecheng-10575	53	26	concentration	concentration	NOUN
fumecheng-10575	53	27	.	.	PUNCT
fumecheng-10575	54	1	once	once	SCONJ
fumecheng-10575	54	2	the	the	DET
fumecheng-10575	54	3	signal	signal	NOUN
fumecheng-10575	54	4	is	be	AUX
fumecheng-10575	54	5	acquired	acquire	VERB
fumecheng-10575	54	6	,	,	PUNCT
fumecheng-10575	54	7	the	the	DET
fumecheng-10575	54	8	next	next	ADJ
fumecheng-10575	54	9	pivotal	pivotal	ADJ
fumecheng-10575	54	10	step	step	NOUN
fumecheng-10575	54	11	of	of	ADP
fumecheng-10575	54	12	signal	signal	ADJ
fumecheng-10575	54	13	pre	pre	ADJ
fumecheng-10575	54	14	-	-	ADJ
fumecheng-10575	54	15	processing	processing	ADJ
fumecheng-10575	54	16	helps	help	NOUN
fumecheng-10575	54	17	in	in	ADP
fumecheng-10575	54	18	the	the	DET
fumecheng-10575	54	19	useful	useful	ADJ
fumecheng-10575	54	20	and	and	CCONJ
fumecheng-10575	54	21	meaningful	meaningful	ADJ
fumecheng-10575	54	22	transformation	transformation	NOUN
fumecheng-10575	54	23	of	of	ADP
fumecheng-10575	54	24	the	the	DET
fumecheng-10575	54	25	original	original	ADJ
fumecheng-10575	54	26	raw	raw	ADJ
fumecheng-10575	54	27	data	datum	NOUN
fumecheng-10575	54	28	into	into	ADP
fumecheng-10575	54	29	representative	representative	ADJ
fumecheng-10575	54	30	features	feature	NOUN
fumecheng-10575	54	31	through	through	ADP
fumecheng-10575	54	32	feature	feature	NOUN
fumecheng-10575	54	33	extraction	extraction	NOUN
fumecheng-10575	54	34	.	.	PUNCT
fumecheng-10575	55	1	this	this	DET
fumecheng-10575	55	2	results	result	VERB
fumecheng-10575	55	3	in	in	ADP
fumecheng-10575	55	4	the	the	DET
fumecheng-10575	55	5	conversion	conversion	NOUN
fumecheng-10575	55	6	of	of	ADP
fumecheng-10575	55	7	the	the	DET
fumecheng-10575	55	8	sensor	sensor	NOUN
fumecheng-10575	55	9	response	response	NOUN
fumecheng-10575	55	10	into	into	ADP
fumecheng-10575	55	11	a	a	DET
fumecheng-10575	55	12	set	set	NOUN
fumecheng-10575	55	13	of	of	ADP
fumecheng-10575	55	14	n	n	NOUN
fumecheng-10575	55	15	features	feature	NOUN
fumecheng-10575	55	16	that	that	PRON
fumecheng-10575	55	17	capture	capture	VERB
fumecheng-10575	55	18	vital	vital	ADJ
fumecheng-10575	55	19	information	information	NOUN
fumecheng-10575	55	20	from	from	ADP
fumecheng-10575	55	21	the	the	DET
fumecheng-10575	55	22	sensor	sensor	NOUN
fumecheng-10575	55	23	response	response	NOUN
fumecheng-10575	55	24	.	.	PUNCT
fumecheng-10575	56	1	in	in	ADP
fumecheng-10575	56	2	many	many	ADJ
fumecheng-10575	56	3	cases	case	NOUN
fumecheng-10575	56	4	,	,	PUNCT
fumecheng-10575	56	5	the	the	DET
fumecheng-10575	56	6	transformation	transformation	NOUN
fumecheng-10575	56	7	can	can	AUX
fumecheng-10575	56	8	render	render	VERB
fumecheng-10575	56	9	a	a	DET
fumecheng-10575	56	10	high	high	ADV
fumecheng-10575	56	11	-	-	PUNCT
fumecheng-10575	56	12	dimensional	dimensional	ADJ
fumecheng-10575	56	13	dataset	dataset	NOUN
fumecheng-10575	56	14	due	due	ADP
fumecheng-10575	56	15	to	to	ADP
fumecheng-10575	56	16	the	the	DET
fumecheng-10575	56	17	large	large	ADJ
fumecheng-10575	56	18	number	number	NOUN
fumecheng-10575	56	19	of	of	ADP
fumecheng-10575	56	20	features	feature	NOUN
fumecheng-10575	56	21	that	that	PRON
fumecheng-10575	56	22	can	can	AUX
fumecheng-10575	56	23	be	be	AUX
fumecheng-10575	56	24	extracted	extract	VERB
fumecheng-10575	56	25	.	.	PUNCT
fumecheng-10575	57	1	this	this	PRON
fumecheng-10575	57	2	might	might	AUX
fumecheng-10575	57	3	cause	cause	VERB
fumecheng-10575	57	4	complexities	complexity	NOUN
fumecheng-10575	57	5	while	while	SCONJ
fumecheng-10575	57	6	implementing	implement	VERB
fumecheng-10575	57	7	machine	machine	NOUN
fumecheng-10575	57	8	learning	learning	NOUN
fumecheng-10575	57	9	models	model	NOUN
fumecheng-10575	57	10	,	,	PUNCT
fumecheng-10575	57	11	thereby	thereby	ADV
fumecheng-10575	57	12	,	,	PUNCT
fumecheng-10575	57	13	resulting	result	VERB
fumecheng-10575	57	14	in	in	ADP
fumecheng-10575	57	15	the	the	DET
fumecheng-10575	57	16	poor	poor	ADJ
fumecheng-10575	57	17	performance	performance	NOUN
fumecheng-10575	57	18	of	of	ADP
fumecheng-10575	57	19	the	the	DET
fumecheng-10575	57	20	overall	overall	ADJ
fumecheng-10575	57	21	e	e	ADJ
fumecheng-10575	57	22	-	-	ADJ
fumecheng-10575	57	23	nose	nose	ADJ
fumecheng-10575	57	24	system	system	NOUN
fumecheng-10575	57	25	[	[	X
fumecheng-10575	57	26	26,27	26,27	NUM
fumecheng-10575	57	27	]	]	PUNCT
fumecheng-10575	57	28	.	.	PUNCT
fumecheng-10575	58	1	this	this	PRON
fumecheng-10575	58	2	can	can	AUX
fumecheng-10575	58	3	be	be	AUX
fumecheng-10575	58	4	encountered	encounter	VERB
fumecheng-10575	58	5	using	use	VERB
fumecheng-10575	58	6	feature	feature	NOUN
fumecheng-10575	58	7	selection	selection	NOUN
fumecheng-10575	58	8	techniques	technique	NOUN
fumecheng-10575	58	9	that	that	PRON
fumecheng-10575	58	10	help	help	AUX
fumecheng-10575	58	11	retain	retain	VERB
fumecheng-10575	58	12	important	important	ADJ
fumecheng-10575	58	13	features	feature	NOUN
fumecheng-10575	58	14	subset	subset	VERB
fumecheng-10575	58	15	from	from	ADP
fumecheng-10575	58	16	the	the	DET
fumecheng-10575	58	17	original	original	ADJ
fumecheng-10575	58	18	feature	feature	NOUN
fumecheng-10575	58	19	set	set	VERB
fumecheng-10575	58	20	to	to	PART
fumecheng-10575	58	21	improve	improve	VERB
fumecheng-10575	58	22	model	model	NOUN
fumecheng-10575	58	23	performance	performance	NOUN
fumecheng-10575	58	24	[	[	X
fumecheng-10575	58	25	20,21,28,29	20,21,28,29	NUM
fumecheng-10575	58	26	]	]	PUNCT
fumecheng-10575	58	27	.	.	PUNCT
fumecheng-10575	59	1	consequently	consequently	ADV
fumecheng-10575	59	2	,	,	PUNCT
fumecheng-10575	59	3	the	the	DET
fumecheng-10575	59	4	generated	generate	VERB
fumecheng-10575	59	5	dataset	dataset	NOUN
fumecheng-10575	59	6	can	can	AUX
fumecheng-10575	59	7	be	be	AUX
fumecheng-10575	59	8	divided	divide	VERB
fumecheng-10575	59	9	into	into	ADP
fumecheng-10575	59	10	training	training	NOUN
fumecheng-10575	59	11	and	and	CCONJ
fumecheng-10575	59	12	testing	testing	NOUN
fumecheng-10575	59	13	datasets	dataset	NOUN
fumecheng-10575	59	14	.	.	PUNCT
fumecheng-10575	60	1	the	the	DET
fumecheng-10575	60	2	training	training	NOUN
fumecheng-10575	60	3	dataset	dataset	NOUN
fumecheng-10575	60	4	is	be	AUX
fumecheng-10575	60	5	used	use	VERB
fumecheng-10575	60	6	for	for	ADP
fumecheng-10575	60	7	model	model	NOUN
fumecheng-10575	60	8	building	building	NOUN
fumecheng-10575	60	9	,	,	PUNCT
fumecheng-10575	60	10	whereas	whereas	SCONJ
fumecheng-10575	60	11	,	,	PUNCT
fumecheng-10575	60	12	the	the	DET
fumecheng-10575	60	13	testing	testing	NOUN
fumecheng-10575	60	14	dataset	dataset	NOUN
fumecheng-10575	60	15	is	be	AUX
fumecheng-10575	60	16	used	use	VERB
fumecheng-10575	60	17	to	to	PART
fumecheng-10575	60	18	test	test	VERB
fumecheng-10575	60	19	for	for	ADP
fumecheng-10575	60	20	the	the	DET
fumecheng-10575	60	21	model	model	NOUN
fumecheng-10575	60	22	performance	performance	NOUN
fumecheng-10575	60	23	.	.	PUNCT
fumecheng-10575	61	1	classification	classification	NOUN
fumecheng-10575	61	2	-	-	PUNCT
fumecheng-10575	61	3	based	base	VERB
fumecheng-10575	61	4	models	model	NOUN
fumecheng-10575	61	5	attempt	attempt	VERB
fumecheng-10575	61	6	to	to	PART
fumecheng-10575	61	7	identify	identify	VERB
fumecheng-10575	61	8	and	and	CCONJ
fumecheng-10575	61	9	segregate	segregate	VERB
fumecheng-10575	61	10	the	the	DET
fumecheng-10575	61	11	different	different	ADJ
fumecheng-10575	61	12	gases	gas	NOUN
fumecheng-10575	61	13	using	use	VERB
fumecheng-10575	61	14	class	class	NOUN
fumecheng-10575	61	15	labels	label	NOUN
fumecheng-10575	61	16	,	,	PUNCT
fumecheng-10575	61	17	for	for	ADP
fumecheng-10575	61	18	example	example	NOUN
fumecheng-10575	61	19	,	,	PUNCT
fumecheng-10575	61	20	segregating	segregate	VERB
fumecheng-10575	61	21	the	the	DET
fumecheng-10575	61	22	quality	quality	NOUN
fumecheng-10575	61	23	of	of	ADP
fumecheng-10575	61	24	wine	wine	NOUN
fumecheng-10575	61	25	482	482	NUM
fumecheng-10575	61	26	l.	l.	PROPN
fumecheng-10575	61	27	mahmood	mahmood	PROPN
fumecheng-10575	61	28	,	,	PUNCT
fumecheng-10575	61	29	z.	z.	PROPN
fumecheng-10575	61	30	bahroun	bahroun	PROPN
fumecheng-10575	61	31	,	,	PUNCT
fumecheng-10575	61	32	m.	m.	NOUN
fumecheng-10575	61	33	ghommem	ghommem	PROPN
fumecheng-10575	61	34	,	,	PUNCT
fumecheng-10575	61	35	h.	h.	PROPN
fumecheng-10575	61	36	alshraideh	alshraideh	PROPN
fumecheng-10575	61	37	using	use	VERB
fumecheng-10575	61	38	wine	wine	NOUN
fumecheng-10575	61	39	odors	odor	NOUN
fumecheng-10575	61	40	as	as	SCONJ
fumecheng-10575	61	41	conducted	conduct	VERB
fumecheng-10575	61	42	in	in	ADP
fumecheng-10575	61	43	[	[	X
fumecheng-10575	61	44	30	30	NUM
fumecheng-10575	61	45	]	]	PUNCT
fumecheng-10575	61	46	,	,	PUNCT
fumecheng-10575	61	47	whereas	whereas	SCONJ
fumecheng-10575	61	48	,	,	PUNCT
fumecheng-10575	61	49	regression	regression	NOUN
fumecheng-10575	61	50	-	-	PUNCT
fumecheng-10575	61	51	based	base	VERB
fumecheng-10575	61	52	models	model	NOUN
fumecheng-10575	61	53	aim	aim	VERB
fumecheng-10575	61	54	to	to	PART
fumecheng-10575	61	55	establish	establish	VERB
fumecheng-10575	61	56	a	a	DET
fumecheng-10575	61	57	relationship	relationship	NOUN
fumecheng-10575	61	58	between	between	ADP
fumecheng-10575	61	59	the	the	DET
fumecheng-10575	61	60	features	feature	NOUN
fumecheng-10575	61	61	and	and	CCONJ
fumecheng-10575	61	62	the	the	DET
fumecheng-10575	61	63	gas	gas	NOUN
fumecheng-10575	61	64	concentration	concentration	NOUN
fumecheng-10575	61	65	as	as	ADP
fumecheng-10575	61	66	a	a	DET
fumecheng-10575	61	67	numeric	numeric	ADJ
fumecheng-10575	61	68	variable	variable	NOUN
fumecheng-10575	61	69	[	[	X
fumecheng-10575	61	70	31	31	NUM
fumecheng-10575	61	71	]	]	PUNCT
fumecheng-10575	61	72	.	.	PUNCT
fumecheng-10575	62	1	fig	fig	NOUN
fumecheng-10575	62	2	.	.	PUNCT
fumecheng-10575	63	1	1	1	NUM
fumecheng-10575	63	2	block	block	NOUN
fumecheng-10575	63	3	diagram	diagram	NOUN
fumecheng-10575	63	4	representation	representation	NOUN
fumecheng-10575	63	5	of	of	ADP
fumecheng-10575	63	6	the	the	DET
fumecheng-10575	63	7	steps	step	NOUN
fumecheng-10575	63	8	involved	involve	VERB
fumecheng-10575	63	9	in	in	ADP
fumecheng-10575	63	10	the	the	DET
fumecheng-10575	63	11	e	e	PROPN
fumecheng-10575	63	12	-	-	NOUN
fumecheng-10575	63	13	nose	nose	NOUN
fumecheng-10575	63	14	operation	operation	NOUN
fumecheng-10575	63	15	given	give	VERB
fumecheng-10575	63	16	the	the	DET
fumecheng-10575	63	17	primary	primary	ADJ
fumecheng-10575	63	18	focus	focus	NOUN
fumecheng-10575	63	19	of	of	ADP
fumecheng-10575	63	20	this	this	DET
fumecheng-10575	63	21	work	work	NOUN
fumecheng-10575	63	22	on	on	ADP
fumecheng-10575	63	23	sensor	sensor	NOUN
fumecheng-10575	63	24	data	datum	NOUN
fumecheng-10575	63	25	obtained	obtain	VERB
fumecheng-10575	63	26	from	from	ADP
fumecheng-10575	63	27	mox	mox	NOUN
fumecheng-10575	63	28	sensors	sensor	NOUN
fumecheng-10575	63	29	,	,	PUNCT
fumecheng-10575	63	30	fig	fig	NOUN
fumecheng-10575	63	31	.	.	PUNCT
fumecheng-10575	64	1	2	2	NUM
fumecheng-10575	64	2	shows	show	VERB
fumecheng-10575	64	3	a	a	DET
fumecheng-10575	64	4	typical	typical	ADJ
fumecheng-10575	64	5	mox	mox	NOUN
fumecheng-10575	64	6	sensor	sensor	NOUN
fumecheng-10575	64	7	response	response	NOUN
fumecheng-10575	64	8	on	on	ADP
fumecheng-10575	64	9	exposure	exposure	NOUN
fumecheng-10575	64	10	to	to	ADP
fumecheng-10575	64	11	a	a	DET
fumecheng-10575	64	12	gas	gas	NOUN
fumecheng-10575	64	13	.	.	PUNCT
fumecheng-10575	65	1	the	the	DET
fumecheng-10575	65	2	response	response	NOUN
fumecheng-10575	65	3	depicts	depict	VERB
fumecheng-10575	65	4	the	the	DET
fumecheng-10575	65	5	change	change	NOUN
fumecheng-10575	65	6	in	in	ADP
fumecheng-10575	65	7	conductance	conductance	NOUN
fumecheng-10575	65	8	over	over	ADP
fumecheng-10575	65	9	time	time	NOUN
fumecheng-10575	65	10	during	during	ADP
fumecheng-10575	65	11	the	the	DET
fumecheng-10575	65	12	gas	gas	NOUN
fumecheng-10575	65	13	exposure	exposure	NOUN
fumecheng-10575	65	14	with	with	ADP
fumecheng-10575	65	15	three	three	NUM
fumecheng-10575	65	16	different	different	ADJ
fumecheng-10575	65	17	phases	phase	NOUN
fumecheng-10575	65	18	;	;	PUNCT
fumecheng-10575	65	19	phase	phase	NOUN
fumecheng-10575	65	20	i	i	PRON
fumecheng-10575	65	21	(	(	PUNCT
fumecheng-10575	65	22	initial	initial	ADJ
fumecheng-10575	65	23	phase	phase	NOUN
fumecheng-10575	65	24	)	)	PUNCT
fumecheng-10575	65	25	,	,	PUNCT
fumecheng-10575	65	26	phase	phase	NOUN
fumecheng-10575	65	27	ii	ii	PROPN
fumecheng-10575	65	28	(	(	PUNCT
fumecheng-10575	65	29	exposure	exposure	NOUN
fumecheng-10575	65	30	phase	phase	NOUN
fumecheng-10575	65	31	)	)	PUNCT
fumecheng-10575	65	32	,	,	PUNCT
fumecheng-10575	65	33	and	and	CCONJ
fumecheng-10575	65	34	phase	phase	NOUN
fumecheng-10575	65	35	iii	iii	NOUN
fumecheng-10575	65	36	(	(	PUNCT
fumecheng-10575	65	37	regeneration	regeneration	NOUN
fumecheng-10575	65	38	phase	phase	NOUN
fumecheng-10575	65	39	)	)	PUNCT
fumecheng-10575	66	1	[	[	X
fumecheng-10575	66	2	32	32	NUM
fumecheng-10575	66	3	]	]	PUNCT
fumecheng-10575	66	4	.	.	PUNCT
fumecheng-10575	67	1	it	it	PRON
fumecheng-10575	67	2	is	be	AUX
fumecheng-10575	67	3	quite	quite	ADV
fumecheng-10575	67	4	evident	evident	ADJ
fumecheng-10575	67	5	that	that	SCONJ
fumecheng-10575	67	6	the	the	DET
fumecheng-10575	67	7	raw	raw	ADJ
fumecheng-10575	67	8	time	time	NOUN
fumecheng-10575	67	9	-	-	PUNCT
fumecheng-10575	67	10	series	series	NOUN
fumecheng-10575	67	11	data	datum	NOUN
fumecheng-10575	67	12	from	from	ADP
fumecheng-10575	67	13	the	the	DET
fumecheng-10575	67	14	sensor	sensor	NOUN
fumecheng-10575	67	15	contains	contain	VERB
fumecheng-10575	67	16	numerous	numerous	ADJ
fumecheng-10575	67	17	data	datum	NOUN
fumecheng-10575	67	18	points	point	NOUN
fumecheng-10575	67	19	.	.	PUNCT
fumecheng-10575	68	1	as	as	ADP
fumecheng-10575	68	2	a	a	DET
fumecheng-10575	68	3	consequence	consequence	NOUN
fumecheng-10575	68	4	,	,	PUNCT
fumecheng-10575	68	5	feature	feature	NOUN
fumecheng-10575	68	6	extraction	extraction	NOUN
fumecheng-10575	68	7	and	and	CCONJ
fumecheng-10575	68	8	feature	feature	NOUN
fumecheng-10575	68	9	selection	selection	NOUN
fumecheng-10575	68	10	that	that	PRON
fumecheng-10575	68	11	form	form	VERB
fumecheng-10575	68	12	a	a	DET
fumecheng-10575	68	13	subset	subset	NOUN
fumecheng-10575	68	14	of	of	ADP
fumecheng-10575	68	15	dimensionality	dimensionality	NOUN
fumecheng-10575	68	16	reduction	reduction	NOUN
fumecheng-10575	68	17	techniques	technique	NOUN
fumecheng-10575	68	18	,	,	PUNCT
fumecheng-10575	68	19	focus	focus	VERB
fumecheng-10575	68	20	on	on	ADP
fumecheng-10575	68	21	extracting	extract	VERB
fumecheng-10575	68	22	/	/	SYM
fumecheng-10575	68	23	selecting	select	VERB
fumecheng-10575	68	24	representative	representative	NOUN
fumecheng-10575	68	25	features	feature	NOUN
fumecheng-10575	68	26	from	from	ADP
fumecheng-10575	68	27	the	the	DET
fumecheng-10575	68	28	sensor	sensor	NOUN
fumecheng-10575	68	29	data	datum	NOUN
fumecheng-10575	68	30	[	[	X
fumecheng-10575	68	31	33	33	NUM
fumecheng-10575	68	32	]	]	PUNCT
fumecheng-10575	68	33	.	.	PUNCT
fumecheng-10575	69	1	the	the	DET
fumecheng-10575	69	2	extracted	extract	VERB
fumecheng-10575	69	3	features	feature	NOUN
fumecheng-10575	69	4	could	could	AUX
fumecheng-10575	69	5	represent	represent	VERB
fumecheng-10575	69	6	information	information	NOUN
fumecheng-10575	69	7	such	such	ADJ
fumecheng-10575	69	8	as	as	ADP
fumecheng-10575	69	9	the	the	DET
fumecheng-10575	69	10	slope	slope	NOUN
fumecheng-10575	69	11	of	of	ADP
fumecheng-10575	69	12	the	the	DET
fumecheng-10575	69	13	signal	signal	NOUN
fumecheng-10575	69	14	in	in	ADP
fumecheng-10575	69	15	each	each	DET
fumecheng-10575	69	16	phase	phase	NOUN
fumecheng-10575	69	17	,	,	PUNCT
fumecheng-10575	69	18	the	the	DET
fumecheng-10575	69	19	rise	rise	NOUN
fumecheng-10575	69	20	time	time	NOUN
fumecheng-10575	69	21	of	of	ADP
fumecheng-10575	69	22	the	the	DET
fumecheng-10575	69	23	signal	signal	NOUN
fumecheng-10575	69	24	,	,	PUNCT
fumecheng-10575	69	25	the	the	DET
fumecheng-10575	69	26	peak	peak	NOUN
fumecheng-10575	69	27	value	value	NOUN
fumecheng-10575	69	28	of	of	ADP
fumecheng-10575	69	29	the	the	DET
fumecheng-10575	69	30	signal	signal	NOUN
fumecheng-10575	69	31	,	,	PUNCT
fumecheng-10575	69	32	the	the	DET
fumecheng-10575	69	33	trough	trough	NOUN
fumecheng-10575	69	34	of	of	ADP
fumecheng-10575	69	35	the	the	DET
fumecheng-10575	69	36	signal	signal	NOUN
fumecheng-10575	69	37	and	and	CCONJ
fumecheng-10575	69	38	the	the	DET
fumecheng-10575	69	39	overall	overall	ADJ
fumecheng-10575	69	40	average	average	ADJ
fumecheng-10575	69	41	value	value	NOUN
fumecheng-10575	69	42	of	of	ADP
fumecheng-10575	69	43	the	the	DET
fumecheng-10575	69	44	signal	signal	NOUN
fumecheng-10575	69	45	.	.	PUNCT
fumecheng-10575	70	1	as	as	ADP
fumecheng-10575	70	2	a	a	DET
fumecheng-10575	70	3	result	result	NOUN
fumecheng-10575	70	4	,	,	PUNCT
fumecheng-10575	70	5	dimensionality	dimensionality	NOUN
fumecheng-10575	70	6	reduction	reduction	NOUN
fumecheng-10575	70	7	techniques	technique	NOUN
fumecheng-10575	70	8	are	be	AUX
fumecheng-10575	70	9	utilized	utilize	VERB
fumecheng-10575	70	10	to	to	PART
fumecheng-10575	70	11	provide	provide	VERB
fumecheng-10575	70	12	characteristic	characteristic	ADJ
fumecheng-10575	70	13	features	feature	NOUN
fumecheng-10575	70	14	that	that	PRON
fumecheng-10575	70	15	summarize	summarize	VERB
fumecheng-10575	70	16	a	a	DET
fumecheng-10575	70	17	major	major	ADJ
fumecheng-10575	70	18	portion	portion	NOUN
fumecheng-10575	70	19	of	of	ADP
fumecheng-10575	70	20	the	the	DET
fumecheng-10575	70	21	information	information	NOUN
fumecheng-10575	70	22	contained	contain	VERB
fumecheng-10575	70	23	in	in	ADP
fumecheng-10575	70	24	the	the	DET
fumecheng-10575	70	25	original	original	ADJ
fumecheng-10575	70	26	raw	raw	ADJ
fumecheng-10575	70	27	data	datum	NOUN
fumecheng-10575	70	28	.	.	PUNCT
fumecheng-10575	71	1	fig	fig	NOUN
fumecheng-10575	71	2	.	.	PUNCT
fumecheng-10575	72	1	2	2	NUM
fumecheng-10575	72	2	typical	typical	ADJ
fumecheng-10575	72	3	response	response	NOUN
fumecheng-10575	72	4	of	of	ADP
fumecheng-10575	72	5	mox	mox	NOUN
fumecheng-10575	72	6	gas	gas	NOUN
fumecheng-10575	72	7	sensor	sensor	NOUN
fumecheng-10575	72	8	on	on	ADP
fumecheng-10575	72	9	exposure	exposure	NOUN
fumecheng-10575	72	10	to	to	ADP
fumecheng-10575	72	11	ethylene	ethylene	NOUN
fumecheng-10575	72	12	.	.	PUNCT
fumecheng-10575	73	1	adapted	adapt	VERB
fumecheng-10575	73	2	from	from	ADP
fumecheng-10575	73	3	[	[	X
fumecheng-10575	73	4	32	32	NUM
fumecheng-10575	73	5	]	]	PUNCT
fumecheng-10575	73	6	assessment	assessment	NOUN
fumecheng-10575	73	7	and	and	CCONJ
fumecheng-10575	73	8	performance	performance	NOUN
fumecheng-10575	73	9	analysis	analysis	NOUN
fumecheng-10575	73	10	of	of	ADP
fumecheng-10575	73	11	machine	machine	NOUN
fumecheng-10575	73	12	learning	learn	VERB
fumecheng-10575	73	13	techniques	technique	NOUN
fumecheng-10575	73	14	for	for	ADP
fumecheng-10575	73	15	gas	gas	NOUN
fumecheng-10575	73	16	sensing	sense	VERB
fumecheng-10575	73	17	e	e	NOUN
fumecheng-10575	73	18	-	-	NOUN
fumecheng-10575	73	19	nose	nose	NOUN
fumecheng-10575	73	20	...	...	PUNCT
fumecheng-10575	73	21	483	483	NUM
fumecheng-10575	73	22	3	3	NUM
fumecheng-10575	73	23	.	.	PUNCT
fumecheng-10575	73	24	assessment	assessment	NOUN
fumecheng-10575	73	25	of	of	ADP
fumecheng-10575	73	26	machine	machine	NOUN
fumecheng-10575	73	27	learning	learn	VERB
fumecheng-10575	73	28	techniques	technique	NOUN
fumecheng-10575	73	29	the	the	DET
fumecheng-10575	73	30	adopted	adopted	ADJ
fumecheng-10575	73	31	e	e	NOUN
fumecheng-10575	73	32	-	-	ADJ
fumecheng-10575	73	33	nose	nose	NOUN
fumecheng-10575	73	34	machine	machine	NOUN
fumecheng-10575	73	35	learning	learning	NOUN
fumecheng-10575	73	36	-	-	PUNCT
fumecheng-10575	73	37	based	base	VERB
fumecheng-10575	73	38	framework	framework	NOUN
fumecheng-10575	73	39	is	be	AUX
fumecheng-10575	73	40	applied	apply	VERB
fumecheng-10575	73	41	to	to	ADP
fumecheng-10575	73	42	three	three	NUM
fumecheng-10575	73	43	mox	mox	NOUN
fumecheng-10575	73	44	gas	gas	NOUN
fumecheng-10575	73	45	sensor	sensor	NOUN
fumecheng-10575	73	46	datasets	dataset	NOUN
fumecheng-10575	73	47	to	to	PART
fumecheng-10575	73	48	assess	assess	VERB
fumecheng-10575	73	49	various	various	ADJ
fumecheng-10575	73	50	machine	machine	NOUN
fumecheng-10575	73	51	learning	learning	NOUN
fumecheng-10575	73	52	models	model	NOUN
fumecheng-10575	73	53	’	'	PUNCT
fumecheng-10575	73	54	performance	performance	NOUN
fumecheng-10575	73	55	.	.	PUNCT
fumecheng-10575	74	1	whenever	whenever	SCONJ
fumecheng-10575	74	2	possible	possible	ADJ
fumecheng-10575	74	3	,	,	PUNCT
fumecheng-10575	74	4	a	a	DET
fumecheng-10575	74	5	comparison	comparison	NOUN
fumecheng-10575	74	6	of	of	ADP
fumecheng-10575	74	7	the	the	DET
fumecheng-10575	74	8	adopted	adopt	VERB
fumecheng-10575	74	9	framework	framework	NOUN
fumecheng-10575	74	10	results	result	NOUN
fumecheng-10575	74	11	with	with	ADP
fumecheng-10575	74	12	previously	previously	ADV
fumecheng-10575	74	13	-	-	PUNCT
fumecheng-10575	74	14	published	publish	VERB
fumecheng-10575	74	15	work	work	NOUN
fumecheng-10575	74	16	is	be	AUX
fumecheng-10575	74	17	presented	present	VERB
fumecheng-10575	74	18	.	.	PUNCT
fumecheng-10575	75	1	each	each	DET
fumecheng-10575	75	2	dataset	dataset	NOUN
fumecheng-10575	75	3	was	be	AUX
fumecheng-10575	75	4	obtained	obtain	VERB
fumecheng-10575	75	5	through	through	ADP
fumecheng-10575	75	6	different	different	ADJ
fumecheng-10575	75	7	experimental	experimental	ADJ
fumecheng-10575	75	8	protocols	protocol	NOUN
fumecheng-10575	75	9	for	for	ADP
fumecheng-10575	75	10	detecting	detect	VERB
fumecheng-10575	75	11	different	different	ADJ
fumecheng-10575	75	12	gases	gas	NOUN
fumecheng-10575	75	13	and	and	CCONJ
fumecheng-10575	75	14	their	their	PRON
fumecheng-10575	75	15	concentrations	concentration	NOUN
fumecheng-10575	76	1	[	[	X
fumecheng-10575	76	2	18,19,25,34,37	18,19,25,34,37	X
fumecheng-10575	76	3	]	]	X
fumecheng-10575	76	4	.	.	PUNCT
fumecheng-10575	77	1	the	the	DET
fumecheng-10575	77	2	experimental	experimental	ADJ
fumecheng-10575	77	3	protocol	protocol	NOUN
fumecheng-10575	77	4	,	,	PUNCT
fumecheng-10575	77	5	assessment	assessment	NOUN
fumecheng-10575	77	6	and	and	CCONJ
fumecheng-10575	77	7	the	the	DET
fumecheng-10575	77	8	results	result	NOUN
fumecheng-10575	77	9	for	for	ADP
fumecheng-10575	77	10	each	each	DET
fumecheng-10575	77	11	dataset	dataset	NOUN
fumecheng-10575	77	12	are	be	AUX
fumecheng-10575	77	13	discussed	discuss	VERB
fumecheng-10575	77	14	in	in	ADP
fumecheng-10575	77	15	the	the	DET
fumecheng-10575	77	16	following	follow	VERB
fumecheng-10575	77	17	sections	section	NOUN
fumecheng-10575	77	18	.	.	PUNCT
fumecheng-10575	78	1	3.1	3.1	NUM
fumecheng-10575	78	2	.	.	PUNCT
fumecheng-10575	78	3	dataset	dataset	VERB
fumecheng-10575	78	4	1experimental	1experimental	ADJ
fumecheng-10575	78	5	dataset	dataset	NOUN
fumecheng-10575	78	6	of	of	ADP
fumecheng-10575	78	7	six	six	NUM
fumecheng-10575	78	8	gases	gas	NOUN
fumecheng-10575	78	9	with	with	ADP
fumecheng-10575	78	10	varying	vary	VERB
fumecheng-10575	78	11	concentrations	concentration	NOUN
fumecheng-10575	78	12	this	this	DET
fumecheng-10575	78	13	dataset	dataset	NOUN
fumecheng-10575	78	14	contains	contain	VERB
fumecheng-10575	78	15	measurements	measurement	NOUN
fumecheng-10575	78	16	collected	collect	VERB
fumecheng-10575	78	17	over	over	ADP
fumecheng-10575	78	18	three	three	NUM
fumecheng-10575	78	19	years	year	NOUN
fumecheng-10575	78	20	for	for	ADP
fumecheng-10575	78	21	the	the	DET
fumecheng-10575	78	22	detection	detection	NOUN
fumecheng-10575	78	23	of	of	ADP
fumecheng-10575	78	24	six	six	NUM
fumecheng-10575	78	25	analytes	analyte	NOUN
fumecheng-10575	78	26	,	,	PUNCT
fumecheng-10575	78	27	namely	namely	ADV
fumecheng-10575	78	28	,	,	PUNCT
fumecheng-10575	78	29	ammonia	ammonia	NOUN
fumecheng-10575	78	30	,	,	PUNCT
fumecheng-10575	78	31	acetaldehyde	acetaldehyde	NOUN
fumecheng-10575	78	32	,	,	PUNCT
fumecheng-10575	78	33	acetone	acetone	NOUN
fumecheng-10575	78	34	,	,	PUNCT
fumecheng-10575	78	35	toluene	toluene	NOUN
fumecheng-10575	78	36	,	,	PUNCT
fumecheng-10575	78	37	ethanol	ethanol	NOUN
fumecheng-10575	78	38	and	and	CCONJ
fumecheng-10575	78	39	ethylene	ethylene	NOUN
fumecheng-10575	78	40	using	use	VERB
fumecheng-10575	78	41	16	16	NUM
fumecheng-10575	78	42	commercial	commercial	ADJ
fumecheng-10575	78	43	mox	mox	NOUN
fumecheng-10575	78	44	sensors	sensor	NOUN
fumecheng-10575	78	45	in	in	ADP
fumecheng-10575	78	46	a	a	DET
fumecheng-10575	78	47	gsa	gsa	PROPN
fumecheng-10575	79	1	[	[	X
fumecheng-10575	79	2	19,25,34	19,25,34	NUM
fumecheng-10575	79	3	]	]	X
fumecheng-10575	79	4	.	.	PUNCT
fumecheng-10575	80	1	the	the	DET
fumecheng-10575	80	2	complete	complete	ADJ
fumecheng-10575	80	3	experimental	experimental	ADJ
fumecheng-10575	80	4	setup	setup	NOUN
fumecheng-10575	80	5	,	,	PUNCT
fumecheng-10575	80	6	fully	fully	ADV
fumecheng-10575	80	7	controlled	control	VERB
fumecheng-10575	80	8	to	to	PART
fumecheng-10575	80	9	provide	provide	VERB
fumecheng-10575	80	10	high	high	ADJ
fumecheng-10575	80	11	reliability	reliability	NOUN
fumecheng-10575	80	12	and	and	CCONJ
fumecheng-10575	80	13	measurement	measurement	NOUN
fumecheng-10575	80	14	reproducibility	reproducibility	NOUN
fumecheng-10575	80	15	,	,	PUNCT
fumecheng-10575	80	16	consisted	consist	VERB
fumecheng-10575	80	17	of	of	ADP
fumecheng-10575	80	18	four	four	NUM
fumecheng-10575	80	19	different	different	ADJ
fumecheng-10575	80	20	types	type	NOUN
fumecheng-10575	80	21	of	of	ADP
fumecheng-10575	80	22	mox	mox	NOUN
fumecheng-10575	80	23	sensors	sensor	NOUN
fumecheng-10575	80	24	(	(	PUNCT
fumecheng-10575	80	25	four	four	NUM
fumecheng-10575	80	26	of	of	ADP
fumecheng-10575	80	27	each	each	DET
fumecheng-10575	80	28	type	type	NOUN
fumecheng-10575	80	29	)	)	PUNCT
fumecheng-10575	80	30	,	,	PUNCT
fumecheng-10575	80	31	thereby	thereby	ADV
fumecheng-10575	80	32	,	,	PUNCT
fumecheng-10575	80	33	resulting	result	VERB
fumecheng-10575	80	34	in	in	ADP
fumecheng-10575	80	35	16	16	NUM
fumecheng-10575	80	36	mox	mox	NOUN
fumecheng-10575	80	37	sensors	sensor	NOUN
fumecheng-10575	80	38	.	.	PUNCT
fumecheng-10575	81	1	each	each	DET
fumecheng-10575	81	2	gas	gas	NOUN
fumecheng-10575	81	3	and	and	CCONJ
fumecheng-10575	81	4	its	its	PRON
fumecheng-10575	81	5	respective	respective	ADJ
fumecheng-10575	81	6	concentration	concentration	NOUN
fumecheng-10575	81	7	was	be	AUX
fumecheng-10575	81	8	exposed	expose	VERB
fumecheng-10575	81	9	to	to	ADP
fumecheng-10575	81	10	the	the	DET
fumecheng-10575	81	11	gsas	gsa	NOUN
fumecheng-10575	81	12	in	in	ADP
fumecheng-10575	81	13	no	no	DET
fumecheng-10575	81	14	particular	particular	ADJ
fumecheng-10575	81	15	order	order	NOUN
fumecheng-10575	81	16	to	to	PART
fumecheng-10575	81	17	yield	yield	VERB
fumecheng-10575	81	18	a	a	DET
fumecheng-10575	81	19	complete	complete	ADJ
fumecheng-10575	81	20	dataset	dataset	NOUN
fumecheng-10575	81	21	of	of	ADP
fumecheng-10575	81	22	13,910	13,910	NUM
fumecheng-10575	81	23	sensor	sensor	NOUN
fumecheng-10575	81	24	signals	signal	NOUN
fumecheng-10575	81	25	,	,	PUNCT
fumecheng-10575	81	26	split	split	VERB
fumecheng-10575	81	27	into	into	ADP
fumecheng-10575	81	28	ten	ten	NUM
fumecheng-10575	81	29	different	different	ADJ
fumecheng-10575	81	30	batches	batch	NOUN
fumecheng-10575	81	31	.	.	PUNCT
fumecheng-10575	82	1	further	further	ADJ
fumecheng-10575	82	2	details	detail	NOUN
fumecheng-10575	82	3	regarding	regard	VERB
fumecheng-10575	82	4	the	the	DET
fumecheng-10575	82	5	experimental	experimental	ADJ
fumecheng-10575	82	6	procedure	procedure	NOUN
fumecheng-10575	82	7	,	,	PUNCT
fumecheng-10575	82	8	various	various	ADJ
fumecheng-10575	82	9	gas	gas	NOUN
fumecheng-10575	82	10	concentrations	concentration	NOUN
fumecheng-10575	82	11	tested	test	VERB
fumecheng-10575	82	12	and	and	CCONJ
fumecheng-10575	82	13	different	different	ADJ
fumecheng-10575	82	14	batches	batch	NOUN
fumecheng-10575	82	15	can	can	AUX
fumecheng-10575	82	16	be	be	AUX
fumecheng-10575	82	17	found	find	VERB
fumecheng-10575	82	18	in	in	ADP
fumecheng-10575	82	19	the	the	DET
fumecheng-10575	82	20	work	work	NOUN
fumecheng-10575	82	21	presented	present	VERB
fumecheng-10575	82	22	by	by	ADP
fumecheng-10575	82	23	vergara	vergara	PROPN
fumecheng-10575	82	24	et	et	PROPN
fumecheng-10575	82	25	al	al	PROPN
fumecheng-10575	82	26	.	.	PUNCT
fumecheng-10575	83	1	[	[	X
fumecheng-10575	83	2	19	19	NUM
fumecheng-10575	83	3	]	]	PUNCT
fumecheng-10575	83	4	.	.	PUNCT
fumecheng-10575	84	1	3.1.1	3.1.1	X
fumecheng-10575	84	2	.	.	PUNCT
fumecheng-10575	84	3	methodology	methodology	NOUN
fumecheng-10575	84	4	following	follow	VERB
fumecheng-10575	84	5	the	the	DET
fumecheng-10575	84	6	signal	signal	NOUN
fumecheng-10575	84	7	acquisition	acquisition	NOUN
fumecheng-10575	84	8	,	,	PUNCT
fumecheng-10575	84	9	fonollosa	fonollosa	PROPN
fumecheng-10575	84	10	et	et	PROPN
fumecheng-10575	84	11	al	al	PROPN
fumecheng-10575	84	12	.	.	PROPN
fumecheng-10575	84	13	resorted	resort	VERB
fumecheng-10575	84	14	to	to	ADP
fumecheng-10575	84	15	extracting	extract	VERB
fumecheng-10575	84	16	two	two	NUM
fumecheng-10575	84	17	types	type	NOUN
fumecheng-10575	84	18	of	of	ADP
fumecheng-10575	84	19	features	feature	NOUN
fumecheng-10575	84	20	from	from	ADP
fumecheng-10575	84	21	the	the	DET
fumecheng-10575	84	22	sensor	sensor	NOUN
fumecheng-10575	84	23	response	response	NOUN
fumecheng-10575	84	24	[	[	X
fumecheng-10575	84	25	19,34	19,34	NUM
fumecheng-10575	84	26	]	]	PUNCT
fumecheng-10575	84	27	.	.	PUNCT
fumecheng-10575	85	1	for	for	ADP
fumecheng-10575	85	2	r[k	r[k	PROPN
fumecheng-10575	85	3	]	]	PUNCT
fumecheng-10575	85	4	,	,	PUNCT
fumecheng-10575	85	5	that	that	PRON
fumecheng-10575	85	6	represents	represent	VERB
fumecheng-10575	85	7	the	the	DET
fumecheng-10575	85	8	sensor	sensor	NOUN
fumecheng-10575	85	9	resistance	resistance	NOUN
fumecheng-10575	85	10	at	at	ADP
fumecheng-10575	85	11	time	time	NOUN
fumecheng-10575	85	12	step	step	NOUN
fumecheng-10575	85	13	k	k	PROPN
fumecheng-10575	85	14	,	,	PUNCT
fumecheng-10575	85	15	the	the	DET
fumecheng-10575	85	16	steady	steady	ADJ
fumecheng-10575	85	17	-	-	PUNCT
fumecheng-10575	85	18	state	state	NOUN
fumecheng-10575	85	19	feature	feature	NOUN
fumecheng-10575	85	20	∆r	∆r	NOUN
fumecheng-10575	85	21	represents	represent	VERB
fumecheng-10575	85	22	the	the	DET
fumecheng-10575	85	23	difference	difference	NOUN
fumecheng-10575	85	24	of	of	ADP
fumecheng-10575	85	25	the	the	DET
fumecheng-10575	85	26	maximum	maximum	ADJ
fumecheng-10575	85	27	resistance	resistance	NOUN
fumecheng-10575	85	28	change	change	NOUN
fumecheng-10575	85	29	and	and	CCONJ
fumecheng-10575	85	30	the	the	DET
fumecheng-10575	85	31	baseline	baseline	ADJ
fumecheng-10575	85	32	resistance	resistance	NOUN
fumecheng-10575	85	33	value	value	NOUN
fumecheng-10575	85	34	,	,	PUNCT
fumecheng-10575	85	35	and	and	CCONJ
fumecheng-10575	85	36	its	its	PRON
fumecheng-10575	85	37	normalized	normalize	VERB
fumecheng-10575	85	38	value	value	NOUN
fumecheng-10575	85	39	‖∆r‖	‖∆r‖	NUM
fumecheng-10575	85	40	is	be	AUX
fumecheng-10575	85	41	depicted	depict	VERB
fumecheng-10575	85	42	as	as	ADP
fumecheng-10575	85	43	the	the	DET
fumecheng-10575	85	44	ratio	ratio	NOUN
fumecheng-10575	85	45	of	of	ADP
fumecheng-10575	85	46	this	this	DET
fumecheng-10575	85	47	difference	difference	NOUN
fumecheng-10575	85	48	with	with	ADP
fumecheng-10575	85	49	respect	respect	NOUN
fumecheng-10575	85	50	to	to	ADP
fumecheng-10575	85	51	the	the	DET
fumecheng-10575	85	52	baseline	baseline	ADJ
fumecheng-10575	85	53	resistance	resistance	NOUN
fumecheng-10575	85	54	value	value	NOUN
fumecheng-10575	85	55	.	.	PUNCT
fumecheng-10575	86	1	the	the	DET
fumecheng-10575	86	2	transient	transient	PROPN
fumecheng-10575	86	3	features	feature	NOUN
fumecheng-10575	86	4	represent	represent	VERB
fumecheng-10575	86	5	the	the	DET
fumecheng-10575	86	6	sensors	sensor	NOUN
fumecheng-10575	86	7	’	'	PUNCT
fumecheng-10575	86	8	dynamic	dynamic	ADJ
fumecheng-10575	86	9	response	response	NOUN
fumecheng-10575	86	10	by	by	ADP
fumecheng-10575	86	11	accounting	account	VERB
fumecheng-10575	86	12	for	for	ADP
fumecheng-10575	86	13	the	the	DET
fumecheng-10575	86	14	rising	rise	VERB
fumecheng-10575	86	15	/	/	SYM
fumecheng-10575	86	16	decaying	decay	VERB
fumecheng-10575	86	17	potion	potion	NOUN
fumecheng-10575	86	18	of	of	ADP
fumecheng-10575	86	19	the	the	DET
fumecheng-10575	86	20	signal	signal	NOUN
fumecheng-10575	86	21	using	use	VERB
fumecheng-10575	86	22	the	the	DET
fumecheng-10575	86	23	exponential	exponential	ADJ
fumecheng-10575	86	24	moving	move	VERB
fumecheng-10575	86	25	average	average	ADJ
fumecheng-10575	86	26	(	(	PUNCT
fumecheng-10575	86	27	ema	ema	PROPN
fumecheng-10575	86	28	)	)	PUNCT
fumecheng-10575	86	29	for	for	ADP
fumecheng-10575	86	30	different	different	ADJ
fumecheng-10575	86	31	smoothing	smoothing	NOUN
fumecheng-10575	86	32	parameter	parameter	NOUN
fumecheng-10575	86	33	values	value	NOUN
fumecheng-10575	86	34	.	.	PUNCT
fumecheng-10575	87	1	the	the	DET
fumecheng-10575	87	2	complete	complete	ADJ
fumecheng-10575	87	3	feature	feature	NOUN
fumecheng-10575	87	4	dataset	dataset	NOUN
fumecheng-10575	87	5	consists	consist	NOUN
fumecheng-10575	87	6	of	of	ADP
fumecheng-10575	87	7	128	128	NUM
fumecheng-10575	87	8	features	feature	NOUN
fumecheng-10575	87	9	(	(	PUNCT
fumecheng-10575	87	10	8	8	NUM
fumecheng-10575	87	11	main	main	ADJ
fumecheng-10575	87	12	features	feature	NOUN
fumecheng-10575	87	13	x	x	PUNCT
fumecheng-10575	87	14	16	16	NUM
fumecheng-10575	87	15	sensors	sensor	NOUN
fumecheng-10575	87	16	)	)	PUNCT
fumecheng-10575	87	17	and	and	CCONJ
fumecheng-10575	87	18	can	can	AUX
fumecheng-10575	87	19	be	be	AUX
fumecheng-10575	87	20	found	find	VERB
fumecheng-10575	87	21	in	in	ADP
fumecheng-10575	87	22	[	[	X
fumecheng-10575	87	23	25	25	NUM
fumecheng-10575	87	24	]	]	PUNCT
fumecheng-10575	87	25	.	.	PUNCT
fumecheng-10575	88	1	prior	prior	ADV
fumecheng-10575	88	2	to	to	ADP
fumecheng-10575	88	3	the	the	DET
fumecheng-10575	88	4	implementation	implementation	NOUN
fumecheng-10575	88	5	of	of	ADP
fumecheng-10575	88	6	machine	machine	NOUN
fumecheng-10575	88	7	learning	learning	NOUN
fumecheng-10575	88	8	models	model	NOUN
fumecheng-10575	88	9	,	,	PUNCT
fumecheng-10575	88	10	the	the	DET
fumecheng-10575	88	11	features	feature	NOUN
fumecheng-10575	88	12	for	for	ADP
fumecheng-10575	88	13	each	each	DET
fumecheng-10575	88	14	sensor	sensor	NOUN
fumecheng-10575	88	15	were	be	AUX
fumecheng-10575	88	16	labeled	label	VERB
fumecheng-10575	88	17	and	and	CCONJ
fumecheng-10575	88	18	numbered	number	VERB
fumecheng-10575	88	19	accordingly	accordingly	ADV
fumecheng-10575	88	20	.	.	PUNCT
fumecheng-10575	89	1	3.1.2	3.1.2	X
fumecheng-10575	89	2	.	.	PUNCT
fumecheng-10575	89	3	part	part	NOUN
fumecheng-10575	89	4	1	1	NUM
fumecheng-10575	89	5	:	:	PUNCT
fumecheng-10575	89	6	machine	machine	NOUN
fumecheng-10575	89	7	learning	learning	NOUN
fumecheng-10575	89	8	–	–	PUNCT
fumecheng-10575	89	9	regression	regression	VERB
fumecheng-10575	89	10	the	the	DET
fumecheng-10575	89	11	main	main	ADJ
fumecheng-10575	89	12	outline	outline	NOUN
fumecheng-10575	89	13	of	of	ADP
fumecheng-10575	89	14	the	the	DET
fumecheng-10575	89	15	regression	regression	NOUN
fumecheng-10575	89	16	performed	perform	VERB
fumecheng-10575	89	17	on	on	ADP
fumecheng-10575	89	18	this	this	DET
fumecheng-10575	89	19	dataset	dataset	NOUN
fumecheng-10575	89	20	followed	follow	VERB
fumecheng-10575	89	21	the	the	DET
fumecheng-10575	89	22	approach	approach	NOUN
fumecheng-10575	89	23	undertaken	undertake	VERB
fumecheng-10575	89	24	by	by	ADP
fumecheng-10575	89	25	rehman	rehman	PROPN
fumecheng-10575	89	26	and	and	CCONJ
fumecheng-10575	89	27	bermak	bermak	PROPN
fumecheng-10575	90	1	[	[	X
fumecheng-10575	90	2	25	25	NUM
fumecheng-10575	90	3	]	]	PUNCT
fumecheng-10575	90	4	for	for	ADP
fumecheng-10575	90	5	a	a	DET
fumecheng-10575	90	6	fair	fair	ADJ
fumecheng-10575	90	7	comparison	comparison	NOUN
fumecheng-10575	90	8	of	of	ADP
fumecheng-10575	90	9	the	the	DET
fumecheng-10575	90	10	implemented	implement	VERB
fumecheng-10575	90	11	models	model	NOUN
fumecheng-10575	90	12	with	with	ADP
fumecheng-10575	90	13	the	the	DET
fumecheng-10575	90	14	models	model	NOUN
fumecheng-10575	90	15	presented	present	VERB
fumecheng-10575	90	16	in	in	ADP
fumecheng-10575	90	17	[	[	X
fumecheng-10575	90	18	25	25	NUM
fumecheng-10575	90	19	]	]	PUNCT
fumecheng-10575	90	20	and	and	CCONJ
fumecheng-10575	90	21	is	be	AUX
fumecheng-10575	90	22	shown	show	VERB
fumecheng-10575	90	23	in	in	ADP
fumecheng-10575	90	24	fig	fig	NOUN
fumecheng-10575	90	25	.	.	PUNCT
fumecheng-10575	91	1	3	3	X
fumecheng-10575	91	2	.	.	X
fumecheng-10575	91	3	for	for	ADP
fumecheng-10575	91	4	this	this	DET
fumecheng-10575	91	5	analysis	analysis	NOUN
fumecheng-10575	91	6	,	,	PUNCT
fumecheng-10575	91	7	we	we	PRON
fumecheng-10575	91	8	used	use	VERB
fumecheng-10575	91	9	data	datum	NOUN
fumecheng-10575	91	10	from	from	ADP
fumecheng-10575	91	11	batch	batch	NOUN
fumecheng-10575	91	12	1	1	NUM
fumecheng-10575	91	13	to	to	PART
fumecheng-10575	91	14	train	train	VERB
fumecheng-10575	91	15	the	the	DET
fumecheng-10575	91	16	machine	machine	NOUN
fumecheng-10575	91	17	learning	learn	VERB
fumecheng-10575	91	18	algorithm	algorithm	NOUN
fumecheng-10575	91	19	and	and	CCONJ
fumecheng-10575	91	20	develop	develop	VERB
fumecheng-10575	91	21	the	the	DET
fumecheng-10575	91	22	model	model	NOUN
fumecheng-10575	91	23	,	,	PUNCT
fumecheng-10575	91	24	whereas	whereas	ADV
fumecheng-10575	91	25	,	,	PUNCT
fumecheng-10575	91	26	batches	batch	VERB
fumecheng-10575	91	27	2	2	NUM
fumecheng-10575	91	28	-	-	SYM
fumecheng-10575	91	29	5	5	NUM
fumecheng-10575	91	30	were	be	AUX
fumecheng-10575	91	31	used	use	VERB
fumecheng-10575	91	32	to	to	PART
fumecheng-10575	91	33	test	test	VERB
fumecheng-10575	91	34	the	the	DET
fumecheng-10575	91	35	model	model	NOUN
fumecheng-10575	91	36	for	for	ADP
fumecheng-10575	91	37	the	the	DET
fumecheng-10575	91	38	final	final	ADJ
fumecheng-10575	91	39	prediction	prediction	NOUN
fumecheng-10575	91	40	results	result	NOUN
fumecheng-10575	91	41	.	.	PUNCT
fumecheng-10575	92	1	the	the	DET
fumecheng-10575	92	2	final	final	ADJ
fumecheng-10575	92	3	results	result	NOUN
fumecheng-10575	92	4	were	be	AUX
fumecheng-10575	92	5	quantified	quantify	VERB
fumecheng-10575	92	6	by	by	ADP
fumecheng-10575	92	7	the	the	DET
fumecheng-10575	92	8	mean	mean	ADJ
fumecheng-10575	92	9	absolute	absolute	ADJ
fumecheng-10575	92	10	percentage	percentage	NOUN
fumecheng-10575	92	11	error	error	NOUN
fumecheng-10575	92	12	(	(	PUNCT
fumecheng-10575	92	13	mape	mape	NOUN
fumecheng-10575	92	14	)	)	PUNCT
fumecheng-10575	92	15	metric	metric	NOUN
fumecheng-10575	92	16	for	for	ADP
fumecheng-10575	92	17	numerical	numerical	ADJ
fumecheng-10575	92	18	predictions	prediction	NOUN
fumecheng-10575	92	19	.	.	PUNCT
fumecheng-10575	93	1	this	this	DET
fumecheng-10575	93	2	process	process	NOUN
fumecheng-10575	93	3	was	be	AUX
fumecheng-10575	93	4	repeated	repeat	VERB
fumecheng-10575	93	5	for	for	ADP
fumecheng-10575	93	6	each	each	PRON
fumecheng-10575	93	7	of	of	ADP
fumecheng-10575	93	8	the	the	DET
fumecheng-10575	93	9	six	six	NUM
fumecheng-10575	93	10	gases	gas	NOUN
fumecheng-10575	93	11	to	to	PART
fumecheng-10575	93	12	estimate	estimate	VERB
fumecheng-10575	93	13	their	their	PRON
fumecheng-10575	93	14	concentrations	concentration	NOUN
fumecheng-10575	93	15	separately	separately	ADV
fumecheng-10575	93	16	.	.	PUNCT
fumecheng-10575	94	1	during	during	ADP
fumecheng-10575	94	2	the	the	DET
fumecheng-10575	94	3	cross	cross	ADJ
fumecheng-10575	94	4	-	-	ADJ
fumecheng-10575	94	5	validation	validation	ADJ
fumecheng-10575	94	6	phase	phase	NOUN
fumecheng-10575	94	7	,	,	PUNCT
fumecheng-10575	94	8	the	the	DET
fumecheng-10575	94	9	model	model	NOUN
fumecheng-10575	94	10	hyperparameters	hyperparameter	NOUN
fumecheng-10575	94	11	were	be	AUX
fumecheng-10575	94	12	tuned	tune	VERB
fumecheng-10575	94	13	through	through	ADP
fumecheng-10575	94	14	parameter	parameter	NOUN
fumecheng-10575	94	15	optimization	optimization	NOUN
fumecheng-10575	94	16	to	to	PART
fumecheng-10575	94	17	avoid	avoid	VERB
fumecheng-10575	94	18	the	the	DET
fumecheng-10575	94	19	occurrence	occurrence	NOUN
fumecheng-10575	94	20	of	of	ADP
fumecheng-10575	94	21	any	any	DET
fumecheng-10575	94	22	model	model	NOUN
fumecheng-10575	94	23	overfitting	overfitting	NOUN
fumecheng-10575	94	24	or	or	CCONJ
fumecheng-10575	94	25	underfitting	underfitting	NOUN
fumecheng-10575	94	26	.	.	PUNCT
fumecheng-10575	95	1	484	484	NUM
fumecheng-10575	95	2	l.	l.	PROPN
fumecheng-10575	95	3	mahmood	mahmood	PROPN
fumecheng-10575	95	4	,	,	PUNCT
fumecheng-10575	95	5	z.	z.	PROPN
fumecheng-10575	95	6	bahroun	bahroun	PROPN
fumecheng-10575	95	7	,	,	PUNCT
fumecheng-10575	95	8	m.	m.	NOUN
fumecheng-10575	95	9	ghommem	ghommem	PROPN
fumecheng-10575	95	10	,	,	PUNCT
fumecheng-10575	95	11	h.	h.	PROPN
fumecheng-10575	95	12	alshraideh	alshraideh	PROPN
fumecheng-10575	95	13	fig	fig	PROPN
fumecheng-10575	95	14	.	.	PUNCT
fumecheng-10575	96	1	3	3	NUM
fumecheng-10575	96	2	methodology	methodology	NOUN
fumecheng-10575	96	3	outline	outline	NOUN
fumecheng-10575	96	4	for	for	ADP
fumecheng-10575	96	5	regression	regression	NOUN
fumecheng-10575	96	6	part	part	NOUN
fumecheng-10575	96	7	1	1	NUM
fumecheng-10575	96	8	the	the	DET
fumecheng-10575	96	9	complete	complete	ADJ
fumecheng-10575	96	10	list	list	NOUN
fumecheng-10575	96	11	of	of	ADP
fumecheng-10575	96	12	algorithms	algorithm	NOUN
fumecheng-10575	96	13	applied	apply	VERB
fumecheng-10575	96	14	in	in	ADP
fumecheng-10575	96	15	the	the	DET
fumecheng-10575	96	16	previous	previous	ADJ
fumecheng-10575	96	17	study	study	NOUN
fumecheng-10575	96	18	[	[	X
fumecheng-10575	96	19	25	25	NUM
fumecheng-10575	96	20	]	]	PUNCT
fumecheng-10575	96	21	and	and	CCONJ
fumecheng-10575	96	22	those	those	PRON
fumecheng-10575	96	23	applied	apply	VERB
fumecheng-10575	96	24	in	in	ADP
fumecheng-10575	96	25	this	this	DET
fumecheng-10575	96	26	work	work	NOUN
fumecheng-10575	96	27	are	be	AUX
fumecheng-10575	96	28	shown	show	VERB
fumecheng-10575	96	29	in	in	ADP
fumecheng-10575	96	30	table	table	NOUN
fumecheng-10575	96	31	1	1	NUM
fumecheng-10575	96	32	.	.	PUNCT
fumecheng-10575	97	1	the	the	DET
fumecheng-10575	97	2	knn	knn	PROPN
fumecheng-10575	97	3	algorithm	algorithm	PROPN
fumecheng-10575	97	4	was	be	AUX
fumecheng-10575	97	5	initially	initially	ADV
fumecheng-10575	97	6	applied	apply	VERB
fumecheng-10575	97	7	to	to	ADP
fumecheng-10575	97	8	the	the	DET
fumecheng-10575	97	9	training	training	NOUN
fumecheng-10575	97	10	dataset	dataset	NOUN
fumecheng-10575	97	11	using	use	VERB
fumecheng-10575	97	12	k	k	PROPN
fumecheng-10575	97	13	as	as	ADP
fumecheng-10575	97	14	5	5	NUM
fumecheng-10575	97	15	and	and	CCONJ
fumecheng-10575	97	16	the	the	DET
fumecheng-10575	97	17	distance	distance	NOUN
fumecheng-10575	97	18	metric	metric	ADJ
fumecheng-10575	97	19	as	as	ADP
fumecheng-10575	97	20	euclidean	euclidean	ADJ
fumecheng-10575	97	21	distance	distance	NOUN
fumecheng-10575	97	22	.	.	PUNCT
fumecheng-10575	98	1	to	to	PART
fumecheng-10575	98	2	optimize	optimize	VERB
fumecheng-10575	98	3	the	the	DET
fumecheng-10575	98	4	model	model	NOUN
fumecheng-10575	98	5	performance	performance	NOUN
fumecheng-10575	98	6	,	,	PUNCT
fumecheng-10575	98	7	these	these	DET
fumecheng-10575	98	8	hyperparameters	hyperparameter	NOUN
fumecheng-10575	98	9	were	be	AUX
fumecheng-10575	98	10	tuned	tune	VERB
fumecheng-10575	98	11	during	during	ADP
fumecheng-10575	98	12	the	the	DET
fumecheng-10575	98	13	training	training	NOUN
fumecheng-10575	98	14	phase	phase	NOUN
fumecheng-10575	98	15	.	.	PUNCT
fumecheng-10575	99	1	prior	prior	ADV
fumecheng-10575	99	2	to	to	ADP
fumecheng-10575	99	3	training	train	VERB
fumecheng-10575	99	4	the	the	DET
fumecheng-10575	99	5	knn	knn	PROPN
fumecheng-10575	99	6	algorithm	algorithm	PROPN
fumecheng-10575	99	7	,	,	PUNCT
fumecheng-10575	99	8	the	the	DET
fumecheng-10575	99	9	training	training	NOUN
fumecheng-10575	99	10	dataset	dataset	NOUN
fumecheng-10575	99	11	was	be	AUX
fumecheng-10575	99	12	normalized	normalize	VERB
fumecheng-10575	99	13	to	to	PART
fumecheng-10575	99	14	minimize	minimize	VERB
fumecheng-10575	99	15	the	the	DET
fumecheng-10575	99	16	impact	impact	NOUN
fumecheng-10575	99	17	of	of	ADP
fumecheng-10575	99	18	the	the	DET
fumecheng-10575	99	19	scale	scale	NOUN
fumecheng-10575	99	20	ranges	range	VERB
fumecheng-10575	99	21	for	for	ADP
fumecheng-10575	99	22	different	different	ADJ
fumecheng-10575	99	23	features	feature	NOUN
fumecheng-10575	99	24	.	.	PUNCT
fumecheng-10575	100	1	for	for	ADP
fumecheng-10575	100	2	both	both	CCONJ
fumecheng-10575	100	3	the	the	DET
fumecheng-10575	100	4	decision	decision	NOUN
fumecheng-10575	100	5	trees	tree	NOUN
fumecheng-10575	100	6	(	(	PUNCT
fumecheng-10575	100	7	dt	dt	PROPN
fumecheng-10575	100	8	)	)	PUNCT
fumecheng-10575	100	9	and	and	CCONJ
fumecheng-10575	100	10	the	the	DET
fumecheng-10575	100	11	random	random	ADJ
fumecheng-10575	100	12	forests	forest	NOUN
fumecheng-10575	100	13	(	(	PUNCT
fumecheng-10575	100	14	rf	rf	NOUN
fumecheng-10575	100	15	)	)	PUNCT
fumecheng-10575	100	16	models	model	NOUN
fumecheng-10575	100	17	,	,	PUNCT
fumecheng-10575	100	18	regression	regression	NOUN
fumecheng-10575	100	19	was	be	AUX
fumecheng-10575	100	20	performed	perform	VERB
fumecheng-10575	100	21	using	use	VERB
fumecheng-10575	100	22	the	the	DET
fumecheng-10575	100	23	least	least	ADJ
fumecheng-10575	100	24	squares	square	NOUN
fumecheng-10575	100	25	regression	regression	VERB
fumecheng-10575	100	26	splitting	splitting	NOUN
fumecheng-10575	100	27	criterion	criterion	NOUN
fumecheng-10575	100	28	.	.	PUNCT
fumecheng-10575	101	1	regression	regression	NOUN
fumecheng-10575	101	2	results	result	NOUN
fumecheng-10575	101	3	of	of	ADP
fumecheng-10575	101	4	the	the	DET
fumecheng-10575	101	5	techniques	technique	NOUN
fumecheng-10575	101	6	used	use	VERB
fumecheng-10575	101	7	in	in	ADP
fumecheng-10575	101	8	this	this	DET
fumecheng-10575	101	9	work	work	NOUN
fumecheng-10575	101	10	for	for	ADP
fumecheng-10575	101	11	all	all	DET
fumecheng-10575	101	12	the	the	DET
fumecheng-10575	101	13	six	six	NUM
fumecheng-10575	101	14	analytes	analyte	NOUN
fumecheng-10575	101	15	is	be	AUX
fumecheng-10575	101	16	shown	show	VERB
fumecheng-10575	101	17	in	in	ADP
fumecheng-10575	101	18	table	table	NOUN
fumecheng-10575	101	19	2	2	NUM
fumecheng-10575	101	20	.	.	PUNCT
fumecheng-10575	101	21	table	table	NOUN
fumecheng-10575	101	22	1	1	NUM
fumecheng-10575	101	23	list	list	NOUN
fumecheng-10575	101	24	of	of	ADP
fumecheng-10575	101	25	machine	machine	NOUN
fumecheng-10575	101	26	learning	learning	NOUN
fumecheng-10575	101	27	models	model	NOUN
fumecheng-10575	101	28	used	use	VERB
fumecheng-10575	101	29	in	in	ADP
fumecheng-10575	101	30	previous	previous	ADJ
fumecheng-10575	101	31	work	work	NOUN
fumecheng-10575	101	32	and	and	CCONJ
fumecheng-10575	101	33	present	present	ADJ
fumecheng-10575	101	34	work	work	NOUN
fumecheng-10575	101	35	machine	machine	NOUN
fumecheng-10575	101	36	learning	learn	VERB
fumecheng-10575	101	37	techniques	technique	NOUN
fumecheng-10575	101	38	previous	previous	ADJ
fumecheng-10575	101	39	work	work	NOUN
fumecheng-10575	101	40	[	[	X
fumecheng-10575	102	1	25	25	NUM
fumecheng-10575	102	2	]	]	X
fumecheng-10575	102	3	present	present	ADJ
fumecheng-10575	102	4	work	work	NOUN
fumecheng-10575	102	5	levenberg	levenberg	PROPN
fumecheng-10575	102	6	marquardt	marquardt	PROPN
fumecheng-10575	102	7	(	(	PUNCT
fumecheng-10575	102	8	lmnn	lmnn	ADJ
fumecheng-10575	102	9	)	)	PUNCT
fumecheng-10575	102	10	bagging	bagging	NOUN
fumecheng-10575	102	11	using	use	VERB
fumecheng-10575	102	12	random	random	ADJ
fumecheng-10575	102	13	forests	forest	NOUN
fumecheng-10575	102	14	:	:	PUNCT
fumecheng-10575	102	15	bagging	bag	VERB
fumecheng-10575	102	16	(	(	PUNCT
fumecheng-10575	102	17	rf	rf	NOUN
fumecheng-10575	102	18	)	)	PUNCT
fumecheng-10575	102	19	scaled	scale	VERB
fumecheng-10575	102	20	conjugate	conjugate	ADJ
fumecheng-10575	102	21	gradient	gradient	NOUN
fumecheng-10575	102	22	(	(	PUNCT
fumecheng-10575	102	23	scgnn	scgnn	NOUN
fumecheng-10575	102	24	)	)	PUNCT
fumecheng-10575	102	25	knn	knn	PROPN
fumecheng-10575	102	26	bayesian	bayesian	NOUN
fumecheng-10575	102	27	regularization	regularization	NOUN
fumecheng-10575	102	28	(	(	PUNCT
fumecheng-10575	102	29	brnn	brnn	NOUN
fumecheng-10575	102	30	)	)	PUNCT
fumecheng-10575	102	31	vote	vote	NOUN
fumecheng-10575	102	32	using	use	VERB
fumecheng-10575	102	33	gradient	gradient	NOUN
fumecheng-10575	102	34	boosted	boost	VERB
fumecheng-10575	102	35	trees	tree	NOUN
fumecheng-10575	102	36	and	and	CCONJ
fumecheng-10575	102	37	rf	rf	NOUN
fumecheng-10575	102	38	:	:	PUNCT
fumecheng-10575	102	39	vote	vote	NOUN
fumecheng-10575	102	40	(	(	PUNCT
fumecheng-10575	102	41	gbt	gbt	NOUN
fumecheng-10575	102	42	,	,	PUNCT
fumecheng-10575	102	43	rf	rf	NOUN
fumecheng-10575	102	44	)	)	PUNCT
fumecheng-10575	102	45	average	average	ADJ
fumecheng-10575	102	46	ensemble	ensemble	ADJ
fumecheng-10575	102	47	(	(	PUNCT
fumecheng-10575	102	48	avgensemble	avgensemble	ADJ
fumecheng-10575	102	49	)	)	PUNCT
fumecheng-10575	102	50	rf(r	rf(r	NOUN
fumecheng-10575	102	51	)	)	PUNCT
fumecheng-10575	102	52	*	*	PUNCT
fumecheng-10575	103	1	support	support	NOUN
fumecheng-10575	103	2	vector	vector	NOUN
fumecheng-10575	103	3	machines	machine	NOUN
fumecheng-10575	103	4	(	(	PUNCT
fumecheng-10575	103	5	svm	svm	PROPN
fumecheng-10575	103	6	)	)	PUNCT
fumecheng-10575	103	7	gbt	gbt	PROPN
fumecheng-10575	103	8	gaussian	gaussian	ADJ
fumecheng-10575	103	9	processes	process	NOUN
fumecheng-10575	103	10	(	(	PUNCT
fumecheng-10575	103	11	gp	gp	NOUN
fumecheng-10575	103	12	)	)	PUNCT
fumecheng-10575	103	13	decision	decision	NOUN
fumecheng-10575	103	14	trees	tree	NOUN
fumecheng-10575	103	15	(	(	PUNCT
fumecheng-10575	103	16	dt	dt	NOUN
fumecheng-10575	103	17	)	)	PUNCT
fumecheng-10575	103	18	random	random	ADJ
fumecheng-10575	103	19	forests	forest	NOUN
fumecheng-10575	103	20	(	(	PUNCT
fumecheng-10575	103	21	rf	rf	NOUN
fumecheng-10575	103	22	)	)	PUNCT
fumecheng-10575	103	23	vote	vote	NOUN
fumecheng-10575	103	24	using	use	VERB
fumecheng-10575	103	25	knn	knn	PROPN
fumecheng-10575	103	26	,	,	PUNCT
fumecheng-10575	103	27	rf	rf	PROPN
fumecheng-10575	103	28	and	and	CCONJ
fumecheng-10575	103	29	dt	dt	ADJ
fumecheng-10575	103	30	:	:	PUNCT
fumecheng-10575	103	31	vote	vote	NOUN
fumecheng-10575	103	32	(	(	PUNCT
fumecheng-10575	103	33	knn	knn	PROPN
fumecheng-10575	103	34	,	,	PUNCT
fumecheng-10575	103	35	rf	rf	PROPN
fumecheng-10575	103	36	,	,	PUNCT
fumecheng-10575	103	37	dt	dt	NOUN
fumecheng-10575	103	38	)	)	PUNCT
fumecheng-10575	103	39	heuristic	heuristic	ADJ
fumecheng-10575	103	40	random	random	ADJ
fumecheng-10575	103	41	forests	forest	NOUN
fumecheng-10575	103	42	(	(	PUNCT
fumecheng-10575	103	43	hrf	hrf	NOUN
fumecheng-10575	103	44	)	)	PUNCT
fumecheng-10575	103	45	*	*	PUNCT
fumecheng-10575	103	46	since	since	SCONJ
fumecheng-10575	103	47	rf	rf	ADJ
fumecheng-10575	103	48	is	be	AUX
fumecheng-10575	103	49	implemented	implement	VERB
fumecheng-10575	103	50	in	in	ADP
fumecheng-10575	103	51	the	the	DET
fumecheng-10575	103	52	previous	previous	ADJ
fumecheng-10575	103	53	and	and	CCONJ
fumecheng-10575	103	54	present	present	ADJ
fumecheng-10575	103	55	work	work	NOUN
fumecheng-10575	103	56	,	,	PUNCT
fumecheng-10575	103	57	the	the	DET
fumecheng-10575	103	58	rf	rf	NOUN
fumecheng-10575	103	59	of	of	ADP
fumecheng-10575	103	60	this	this	DET
fumecheng-10575	103	61	research	research	NOUN
fumecheng-10575	103	62	is	be	AUX
fumecheng-10575	103	63	referred	refer	VERB
fumecheng-10575	103	64	to	to	ADP
fumecheng-10575	103	65	as	as	ADP
fumecheng-10575	103	66	rf(r	rf(r	NOUN
fumecheng-10575	103	67	)	)	PUNCT
fumecheng-10575	103	68	.	.	PUNCT
fumecheng-10575	104	1	as	as	SCONJ
fumecheng-10575	104	2	shown	show	VERB
fumecheng-10575	104	3	in	in	ADP
fumecheng-10575	104	4	table	table	NOUN
fumecheng-10575	104	5	2	2	NUM
fumecheng-10575	104	6	,	,	PUNCT
fumecheng-10575	104	7	in	in	ADP
fumecheng-10575	104	8	the	the	DET
fumecheng-10575	104	9	case	case	NOUN
fumecheng-10575	104	10	of	of	ADP
fumecheng-10575	104	11	ethanol	ethanol	NOUN
fumecheng-10575	104	12	,	,	PUNCT
fumecheng-10575	104	13	when	when	SCONJ
fumecheng-10575	104	14	testing	testing	NOUN
fumecheng-10575	104	15	batch	batch	NOUN
fumecheng-10575	104	16	2	2	NUM
fumecheng-10575	104	17	,	,	PUNCT
fumecheng-10575	104	18	knn	knn	PROPN
fumecheng-10575	104	19	(	(	PUNCT
fumecheng-10575	104	20	mape	mape	NOUN
fumecheng-10575	104	21	of	of	ADP
fumecheng-10575	104	22	35.35	35.35	NUM
fumecheng-10575	104	23	%	%	NOUN
fumecheng-10575	104	24	)	)	PUNCT
fumecheng-10575	104	25	achieved	achieve	VERB
fumecheng-10575	104	26	the	the	DET
fumecheng-10575	104	27	best	good	ADJ
fumecheng-10575	104	28	performance	performance	NOUN
fumecheng-10575	104	29	in	in	ADP
fumecheng-10575	104	30	comparison	comparison	NOUN
fumecheng-10575	104	31	to	to	ADP
fumecheng-10575	104	32	all	all	DET
fumecheng-10575	104	33	the	the	DET
fumecheng-10575	104	34	models	model	NOUN
fumecheng-10575	104	35	reported	report	VERB
fumecheng-10575	104	36	in	in	ADP
fumecheng-10575	104	37	the	the	DET
fumecheng-10575	104	38	previous	previous	ADJ
fumecheng-10575	104	39	study	study	NOUN
fumecheng-10575	104	40	[	[	X
fumecheng-10575	104	41	25	25	NUM
fumecheng-10575	104	42	]	]	PUNCT
fumecheng-10575	104	43	.	.	PUNCT
fumecheng-10575	105	1	despite	despite	SCONJ
fumecheng-10575	105	2	the	the	DET
fumecheng-10575	105	3	lack	lack	NOUN
fumecheng-10575	105	4	of	of	ADP
fumecheng-10575	105	5	high	high	ADJ
fumecheng-10575	105	6	concentrations	concentration	NOUN
fumecheng-10575	105	7	present	present	ADJ
fumecheng-10575	105	8	in	in	ADP
fumecheng-10575	105	9	the	the	DET
fumecheng-10575	105	10	training	training	NOUN
fumecheng-10575	105	11	dataset	dataset	NOUN
fumecheng-10575	105	12	,	,	PUNCT
fumecheng-10575	105	13	the	the	DET
fumecheng-10575	105	14	present	present	ADJ
fumecheng-10575	105	15	implementation	implementation	NOUN
fumecheng-10575	105	16	of	of	ADP
fumecheng-10575	105	17	the	the	DET
fumecheng-10575	105	18	models	model	NOUN
fumecheng-10575	105	19	enabled	enable	VERB
fumecheng-10575	105	20	to	to	PART
fumecheng-10575	105	21	obtain	obtain	VERB
fumecheng-10575	105	22	relatively	relatively	ADV
fumecheng-10575	105	23	lower	low	ADJ
fumecheng-10575	105	24	errors	error	NOUN
fumecheng-10575	105	25	.	.	PUNCT
fumecheng-10575	106	1	this	this	PRON
fumecheng-10575	106	2	can	can	AUX
fumecheng-10575	106	3	be	be	AUX
fumecheng-10575	106	4	supported	support	VERB
fumecheng-10575	106	5	by	by	ADP
fumecheng-10575	106	6	the	the	DET
fumecheng-10575	106	7	performance	performance	NOUN
fumecheng-10575	106	8	of	of	ADP
fumecheng-10575	106	9	dt	dt	PROPN
fumecheng-10575	106	10	(	(	PUNCT
fumecheng-10575	106	11	mape	mape	NOUN
fumecheng-10575	106	12	of	of	ADP
fumecheng-10575	106	13	45.42	45.42	NUM
fumecheng-10575	106	14	%	%	NOUN
fumecheng-10575	106	15	)	)	PUNCT
fumecheng-10575	106	16	,	,	PUNCT
fumecheng-10575	106	17	vote	vote	NOUN
fumecheng-10575	106	18	using	use	VERB
fumecheng-10575	106	19	knn	knn	PROPN
fumecheng-10575	106	20	,	,	PUNCT
fumecheng-10575	106	21	rf	rf	PROPN
fumecheng-10575	106	22	,	,	PUNCT
fumecheng-10575	106	23	dt	dt	X
fumecheng-10575	106	24	(	(	PUNCT
fumecheng-10575	106	25	mape	mape	NOUN
fumecheng-10575	106	26	of	of	ADP
fumecheng-10575	106	27	51.05	51.05	NUM
fumecheng-10575	106	28	%	%	NOUN
fumecheng-10575	106	29	)	)	PUNCT
fumecheng-10575	106	30	and	and	CCONJ
fumecheng-10575	106	31	rf(r	rf(r	NOUN
fumecheng-10575	106	32	)	)	PUNCT
fumecheng-10575	106	33	(	(	PUNCT
fumecheng-10575	106	34	mape	mape	NOUN
fumecheng-10575	106	35	of	of	ADP
fumecheng-10575	106	36	55.02	55.02	NUM
fumecheng-10575	106	37	%	%	NOUN
fumecheng-10575	106	38	)	)	PUNCT
fumecheng-10575	106	39	,	,	PUNCT
fumecheng-10575	106	40	that	that	PRON
fumecheng-10575	106	41	had	have	VERB
fumecheng-10575	106	42	mapes	mape	NOUN
fumecheng-10575	106	43	lower	low	ADJ
fumecheng-10575	106	44	than	than	ADP
fumecheng-10575	106	45	the	the	DET
fumecheng-10575	106	46	hrf	hrf	PROPN
fumecheng-10575	106	47	model	model	NOUN
fumecheng-10575	106	48	[	[	X
fumecheng-10575	106	49	25	25	NUM
fumecheng-10575	106	50	]	]	PUNCT
fumecheng-10575	106	51	.	.	PUNCT
fumecheng-10575	107	1	for	for	ADP
fumecheng-10575	107	2	testing	testing	NOUN
fumecheng-10575	107	3	batches	batch	VERB
fumecheng-10575	107	4	2	2	NUM
fumecheng-10575	107	5	-	-	SYM
fumecheng-10575	107	6	5	5	NUM
fumecheng-10575	107	7	,	,	PUNCT
fumecheng-10575	107	8	knn	knn	PROPN
fumecheng-10575	107	9	provided	provide	VERB
fumecheng-10575	107	10	the	the	DET
fumecheng-10575	107	11	least	least	ADJ
fumecheng-10575	107	12	mape	mape	NOUN
fumecheng-10575	107	13	of	of	ADP
fumecheng-10575	107	14	39.23	39.23	NUM
fumecheng-10575	107	15	%	%	NOUN
fumecheng-10575	107	16	,	,	PUNCT
fumecheng-10575	107	17	that	that	PRON
fumecheng-10575	107	18	was	be	AUX
fumecheng-10575	107	19	comparable	comparable	ADJ
fumecheng-10575	107	20	with	with	ADP
fumecheng-10575	107	21	the	the	DET
fumecheng-10575	107	22	mape	mape	NOUN
fumecheng-10575	107	23	of	of	ADP
fumecheng-10575	107	24	hrf	hrf	PROPN
fumecheng-10575	107	25	.	.	PUNCT
fumecheng-10575	108	1	other	other	ADJ
fumecheng-10575	108	2	models	model	NOUN
fumecheng-10575	108	3	that	that	PRON
fumecheng-10575	108	4	delivered	deliver	VERB
fumecheng-10575	108	5	a	a	DET
fumecheng-10575	108	6	decent	decent	ADJ
fumecheng-10575	108	7	performance	performance	NOUN
fumecheng-10575	108	8	include	include	VERB
fumecheng-10575	108	9	the	the	DET
fumecheng-10575	108	10	vote	vote	NOUN
fumecheng-10575	108	11	using	use	VERB
fumecheng-10575	108	12	knn	knn	PROPN
fumecheng-10575	108	13	,	,	PUNCT
fumecheng-10575	108	14	rf	rf	PROPN
fumecheng-10575	108	15	,	,	PUNCT
fumecheng-10575	108	16	dt	dt	X
fumecheng-10575	108	17	(	(	PUNCT
fumecheng-10575	108	18	mape	mape	NOUN
fumecheng-10575	108	19	of	of	ADP
fumecheng-10575	108	20	52.26	52.26	NUM
fumecheng-10575	108	21	%	%	NOUN
fumecheng-10575	108	22	)	)	PUNCT
fumecheng-10575	108	23	and	and	CCONJ
fumecheng-10575	108	24	rf(r	rf(r	NOUN
fumecheng-10575	108	25	)	)	PUNCT
fumecheng-10575	108	26	(	(	PUNCT
fumecheng-10575	108	27	mape	mape	NOUN
fumecheng-10575	108	28	of	of	ADP
fumecheng-10575	108	29	59.18	59.18	NUM
fumecheng-10575	108	30	%	%	NOUN
fumecheng-10575	108	31	)	)	PUNCT
fumecheng-10575	108	32	.	.	PUNCT
fumecheng-10575	109	1	for	for	ADP
fumecheng-10575	109	2	batch	batch	NOUN
fumecheng-10575	109	3	2	2	NUM
fumecheng-10575	109	4	of	of	ADP
fumecheng-10575	109	5	ethylene	ethylene	NOUN
fumecheng-10575	109	6	,	,	PUNCT
fumecheng-10575	109	7	knn	knn	PROPN
fumecheng-10575	109	8	(	(	PUNCT
fumecheng-10575	109	9	mape	mape	NOUN
fumecheng-10575	109	10	of	of	ADP
fumecheng-10575	109	11	15.66	15.66	NUM
fumecheng-10575	109	12	%	%	NOUN
fumecheng-10575	109	13	)	)	PUNCT
fumecheng-10575	109	14	demonstrated	demonstrate	VERB
fumecheng-10575	109	15	the	the	DET
fumecheng-10575	109	16	best	good	ADJ
fumecheng-10575	109	17	performance	performance	NOUN
fumecheng-10575	109	18	amongst	amongst	ADP
fumecheng-10575	109	19	assessment	assessment	NOUN
fumecheng-10575	109	20	and	and	CCONJ
fumecheng-10575	109	21	performance	performance	NOUN
fumecheng-10575	109	22	analysis	analysis	NOUN
fumecheng-10575	109	23	of	of	ADP
fumecheng-10575	109	24	machine	machine	NOUN
fumecheng-10575	109	25	learning	learn	VERB
fumecheng-10575	109	26	techniques	technique	NOUN
fumecheng-10575	109	27	for	for	ADP
fumecheng-10575	109	28	gas	gas	NOUN
fumecheng-10575	109	29	sensing	sense	VERB
fumecheng-10575	109	30	e	e	NOUN
fumecheng-10575	109	31	-	-	NOUN
fumecheng-10575	109	32	nose	nose	NOUN
fumecheng-10575	109	33	...	...	PUNCT
fumecheng-10575	109	34	485	485	NUM
fumecheng-10575	109	35	the	the	DET
fumecheng-10575	109	36	implemented	implement	VERB
fumecheng-10575	109	37	models	model	NOUN
fumecheng-10575	109	38	and	and	CCONJ
fumecheng-10575	109	39	those	those	PRON
fumecheng-10575	109	40	presented	present	VERB
fumecheng-10575	109	41	in	in	ADP
fumecheng-10575	109	42	the	the	DET
fumecheng-10575	109	43	previous	previous	ADJ
fumecheng-10575	109	44	study	study	NOUN
fumecheng-10575	109	45	[	[	X
fumecheng-10575	109	46	25	25	NUM
fumecheng-10575	109	47	]	]	PUNCT
fumecheng-10575	109	48	.	.	PUNCT
fumecheng-10575	110	1	in	in	ADP
fumecheng-10575	110	2	addition	addition	NOUN
fumecheng-10575	110	3	to	to	ADP
fumecheng-10575	110	4	knn	knn	PROPN
fumecheng-10575	110	5	,	,	PUNCT
fumecheng-10575	110	6	bagging	bag	VERB
fumecheng-10575	110	7	using	use	VERB
fumecheng-10575	110	8	rf	rf	ADJ
fumecheng-10575	110	9	(	(	PUNCT
fumecheng-10575	110	10	mape	mape	NOUN
fumecheng-10575	110	11	of	of	ADP
fumecheng-10575	110	12	21.82	21.82	NUM
fumecheng-10575	110	13	%	%	NOUN
fumecheng-10575	110	14	)	)	PUNCT
fumecheng-10575	110	15	and	and	CCONJ
fumecheng-10575	110	16	rf(r	rf(r	NOUN
fumecheng-10575	110	17	)	)	PUNCT
fumecheng-10575	110	18	(	(	PUNCT
fumecheng-10575	110	19	mape	mape	NOUN
fumecheng-10575	110	20	of	of	ADP
fumecheng-10575	110	21	23.47	23.47	NUM
fumecheng-10575	110	22	%	%	NOUN
fumecheng-10575	110	23	)	)	PUNCT
fumecheng-10575	110	24	also	also	ADV
fumecheng-10575	110	25	delivered	deliver	VERB
fumecheng-10575	110	26	good	good	ADJ
fumecheng-10575	110	27	performances	performance	NOUN
fumecheng-10575	110	28	.	.	PUNCT
fumecheng-10575	111	1	in	in	ADP
fumecheng-10575	111	2	case	case	NOUN
fumecheng-10575	111	3	of	of	ADP
fumecheng-10575	111	4	batches	batch	NOUN
fumecheng-10575	111	5	2	2	NUM
fumecheng-10575	111	6	-	-	SYM
fumecheng-10575	111	7	5	5	NUM
fumecheng-10575	111	8	,	,	PUNCT
fumecheng-10575	111	9	the	the	DET
fumecheng-10575	111	10	lowest	low	ADJ
fumecheng-10575	111	11	achievable	achievable	ADJ
fumecheng-10575	111	12	mape	mape	NOUN
fumecheng-10575	111	13	was	be	AUX
fumecheng-10575	111	14	58.22	58.22	NUM
fumecheng-10575	111	15	%	%	NOUN
fumecheng-10575	111	16	from	from	ADP
fumecheng-10575	111	17	bagging	bag	VERB
fumecheng-10575	111	18	using	use	VERB
fumecheng-10575	111	19	rf	rf	NOUN
fumecheng-10575	111	20	,	,	PUNCT
fumecheng-10575	111	21	wherein	wherein	ADJ
fumecheng-10575	111	22	,	,	PUNCT
fumecheng-10575	111	23	the	the	DET
fumecheng-10575	111	24	high	high	ADJ
fumecheng-10575	111	25	mapes	mapes	PROPN
fumecheng-10575	111	26	can	can	AUX
fumecheng-10575	111	27	be	be	AUX
fumecheng-10575	111	28	attributed	attribute	VERB
fumecheng-10575	111	29	to	to	ADP
fumecheng-10575	111	30	the	the	DET
fumecheng-10575	111	31	sensor	sensor	NOUN
fumecheng-10575	111	32	drift	drift	NOUN
fumecheng-10575	111	33	experienced	experience	VERB
fumecheng-10575	111	34	over	over	ADP
fumecheng-10575	111	35	the	the	DET
fumecheng-10575	111	36	course	course	NOUN
fumecheng-10575	111	37	of	of	ADP
fumecheng-10575	111	38	the	the	DET
fumecheng-10575	111	39	experiment	experiment	NOUN
fumecheng-10575	111	40	.	.	PUNCT
fumecheng-10575	112	1	nevertheless	nevertheless	ADV
fumecheng-10575	112	2	,	,	PUNCT
fumecheng-10575	112	3	bagging	bagging	NOUN
fumecheng-10575	112	4	using	use	VERB
fumecheng-10575	112	5	rf	rf	ADJ
fumecheng-10575	112	6	(	(	PUNCT
fumecheng-10575	112	7	mape	mape	NOUN
fumecheng-10575	112	8	of	of	ADP
fumecheng-10575	112	9	58.22	58.22	NUM
fumecheng-10575	112	10	%	%	NOUN
fumecheng-10575	112	11	)	)	PUNCT
fumecheng-10575	112	12	,	,	PUNCT
fumecheng-10575	112	13	knn	knn	PROPN
fumecheng-10575	112	14	(	(	PUNCT
fumecheng-10575	112	15	mape	mape	NOUN
fumecheng-10575	112	16	of	of	ADP
fumecheng-10575	112	17	64.97	64.97	NUM
fumecheng-10575	112	18	%	%	NOUN
fumecheng-10575	112	19	)	)	PUNCT
fumecheng-10575	112	20	,	,	PUNCT
fumecheng-10575	112	21	dt	dt	X
fumecheng-10575	112	22	(	(	PUNCT
fumecheng-10575	112	23	mape	mape	NOUN
fumecheng-10575	112	24	of	of	ADP
fumecheng-10575	112	25	71.44	71.44	NUM
fumecheng-10575	112	26	%	%	NOUN
fumecheng-10575	112	27	)	)	PUNCT
fumecheng-10575	112	28	and	and	CCONJ
fumecheng-10575	112	29	rf(r	rf(r	NOUN
fumecheng-10575	112	30	)	)	PUNCT
fumecheng-10575	112	31	(	(	PUNCT
fumecheng-10575	112	32	mape	mape	NOUN
fumecheng-10575	112	33	of	of	ADP
fumecheng-10575	112	34	63.03	63.03	NUM
fumecheng-10575	112	35	%	%	NOUN
fumecheng-10575	112	36	)	)	PUNCT
fumecheng-10575	112	37	performed	perform	VERB
fumecheng-10575	112	38	better	well	ADV
fumecheng-10575	112	39	than	than	ADP
fumecheng-10575	112	40	scgnn	scgnn	NOUN
fumecheng-10575	112	41	and	and	CCONJ
fumecheng-10575	112	42	svm	svm	ADJ
fumecheng-10575	112	43	[	[	X
fumecheng-10575	112	44	25	25	NUM
fumecheng-10575	112	45	]	]	PUNCT
fumecheng-10575	112	46	.	.	PUNCT
fumecheng-10575	113	1	table	table	NOUN
fumecheng-10575	113	2	2	2	NUM
fumecheng-10575	113	3	mapes	mape	NOUN
fumecheng-10575	113	4	for	for	ADP
fumecheng-10575	113	5	six	six	NUM
fumecheng-10575	113	6	gases	gas	NOUN
fumecheng-10575	113	7	using	use	VERB
fumecheng-10575	113	8	different	different	ADJ
fumecheng-10575	113	9	machine	machine	NOUN
fumecheng-10575	113	10	learning	learning	NOUN
fumecheng-10575	113	11	models	model	NOUN
fumecheng-10575	113	12	present	present	VERB
fumecheng-10575	113	13	work	work	NOUN
fumecheng-10575	113	14	gas	gas	NOUN
fumecheng-10575	113	15	test	test	NOUN
fumecheng-10575	113	16	batch	batch	NOUN
fumecheng-10575	113	17	machine	machine	NOUN
fumecheng-10575	113	18	learning	learn	VERB
fumecheng-10575	113	19	model	model	PROPN
fumecheng-10575	113	20	/	/	SYM
fumecheng-10575	113	21	mape(%	mape(%	NOUN
fumecheng-10575	113	22	)	)	PUNCT
fumecheng-10575	113	23	bagging	bagging	NOUN
fumecheng-10575	113	24	(	(	PUNCT
fumecheng-10575	113	25	rf	rf	NOUN
fumecheng-10575	113	26	)	)	PUNCT
fumecheng-10575	113	27	knn	knn	NOUN
fumecheng-10575	113	28	vote	vote	NOUN
fumecheng-10575	113	29	(	(	PUNCT
fumecheng-10575	113	30	gbt	gbt	PROPN
fumecheng-10575	113	31	,	,	PUNCT
fumecheng-10575	113	32	rf	rf	NOUN
fumecheng-10575	113	33	)	)	PUNCT
fumecheng-10575	113	34	rf(r	rf(r	NOUN
fumecheng-10575	113	35	)	)	PUNCT
fumecheng-10575	113	36	gbt	gbt	PROPN
fumecheng-10575	113	37	dt	dt	PROPN
fumecheng-10575	113	38	vote	vote	NOUN
fumecheng-10575	113	39	(	(	PUNCT
fumecheng-10575	113	40	knn	knn	PROPN
fumecheng-10575	113	41	,	,	PUNCT
fumecheng-10575	113	42	rf	rf	PROPN
fumecheng-10575	113	43	,	,	PUNCT
fumecheng-10575	113	44	dt	dt	NOUN
fumecheng-10575	113	45	)	)	PUNCT
fumecheng-10575	113	46	1	1	NUM
fumecheng-10575	113	47	batch	batch	NOUN
fumecheng-10575	113	48	2	2	NUM
fumecheng-10575	113	49	61.94	61.94	NUM
fumecheng-10575	113	50	35.35	35.35	NUM
fumecheng-10575	113	51	87.39	87.39	NUM
fumecheng-10575	113	52	55.02	55.02	NUM
fumecheng-10575	113	53	124.39	124.39	NUM
fumecheng-10575	113	54	45.42	45.42	NUM
fumecheng-10575	113	55	51.05	51.05	NUM
fumecheng-10575	113	56	batches	batch	NOUN
fumecheng-10575	113	57	2	2	NUM
fumecheng-10575	113	58	-	-	SYM
fumecheng-10575	113	59	5	5	NUM
fumecheng-10575	113	60	60.35	60.35	NUM
fumecheng-10575	113	61	39.23	39.23	NUM
fumecheng-10575	113	62	72.08	72.08	NUM
fumecheng-10575	113	63	59.18	59.18	NUM
fumecheng-10575	113	64	89.74	89.74	NUM
fumecheng-10575	113	65	72.35	72.35	NUM
fumecheng-10575	113	66	52.26	52.26	NUM
fumecheng-10575	113	67	2	2	NUM
fumecheng-10575	113	68	batch	batch	NOUN
fumecheng-10575	113	69	2	2	NUM
fumecheng-10575	113	70	21.82	21.82	NUM
fumecheng-10575	113	71	15.66	15.66	NUM
fumecheng-10575	113	72	61.29	61.29	NUM
fumecheng-10575	113	73	23.47	23.47	NUM
fumecheng-10575	113	74	102.55	102.55	NUM
fumecheng-10575	113	75	33.16	33.16	NUM
fumecheng-10575	113	76	32.98	32.98	NUM
fumecheng-10575	113	77	batches	batch	NOUN
fumecheng-10575	113	78	2	2	NUM
fumecheng-10575	113	79	-	-	SYM
fumecheng-10575	113	80	5	5	NUM
fumecheng-10575	113	81	58.22	58.22	NUM
fumecheng-10575	113	82	64.97	64.97	NUM
fumecheng-10575	113	83	73.83	73.83	NUM
fumecheng-10575	113	84	63.03	63.03	NUM
fumecheng-10575	113	85	88.34	88.34	NUM
fumecheng-10575	113	86	71.44	71.44	NUM
fumecheng-10575	113	87	89.55	89.55	NUM
fumecheng-10575	113	88	3	3	NUM
fumecheng-10575	113	89	batch	batch	NOUN
fumecheng-10575	113	90	2	2	NUM
fumecheng-10575	113	91	35.06	35.06	NUM
fumecheng-10575	113	92	11.46	11.46	NUM
fumecheng-10575	113	93	59.44	59.44	NUM
fumecheng-10575	113	94	37.93	37.93	NUM
fumecheng-10575	113	95	81.47	81.47	NUM
fumecheng-10575	113	96	18.79	18.79	NUM
fumecheng-10575	113	97	19.93	19.93	NUM
fumecheng-10575	113	98	batches	batch	NOUN
fumecheng-10575	113	99	2	2	NUM
fumecheng-10575	113	100	-	-	SYM
fumecheng-10575	113	101	5	5	NUM
fumecheng-10575	113	102	54.23	54.23	NUM
fumecheng-10575	113	103	38.22	38.22	NUM
fumecheng-10575	113	104	81.15	81.15	NUM
fumecheng-10575	113	105	56.15	56.15	NUM
fumecheng-10575	113	106	106.31	106.31	NUM
fumecheng-10575	113	107	39.79	39.79	NUM
fumecheng-10575	113	108	41.69	41.69	NUM
fumecheng-10575	113	109	4	4	NUM
fumecheng-10575	113	110	batch	batch	NOUN
fumecheng-10575	113	111	2	2	NUM
fumecheng-10575	113	112	22.71	22.71	NUM
fumecheng-10575	113	113	55.05	55.05	NUM
fumecheng-10575	113	114	25.99	25.99	NUM
fumecheng-10575	113	115	20.47	20.47	NUM
fumecheng-10575	113	116	39.74	39.74	NUM
fumecheng-10575	113	117	38.73	38.73	NUM
fumecheng-10575	113	118	37.65	37.65	NUM
fumecheng-10575	113	119	batches	batch	NOUN
fumecheng-10575	113	120	2	2	NUM
fumecheng-10575	113	121	-	-	SYM
fumecheng-10575	113	122	5	5	NUM
fumecheng-10575	113	123	22.14	22.14	NUM
fumecheng-10575	113	124	59.77	59.77	NUM
fumecheng-10575	113	125	26.55	26.55	NUM
fumecheng-10575	113	126	19.8	19.8	NUM
fumecheng-10575	113	127	41.49	41.49	NUM
fumecheng-10575	113	128	49.07	49.07	NUM
fumecheng-10575	113	129	41.81	41.81	NUM
fumecheng-10575	113	130	5	5	NUM
fumecheng-10575	113	131	batch	batch	NOUN
fumecheng-10575	113	132	2	2	NUM
fumecheng-10575	113	133	30.74	30.74	NUM
fumecheng-10575	113	134	25.39	25.39	NUM
fumecheng-10575	113	135	40.26	40.26	NUM
fumecheng-10575	113	136	26.12	26.12	NUM
fumecheng-10575	113	137	57.46	57.46	NUM
fumecheng-10575	113	138	85.76	85.76	NUM
fumecheng-10575	113	139	59.64	59.64	NUM
fumecheng-10575	113	140	batches	batch	NOUN
fumecheng-10575	113	141	2	2	NUM
fumecheng-10575	113	142	-	-	SYM
fumecheng-10575	113	143	5	5	NUM
fumecheng-10575	113	144	33.17	33.17	NUM
fumecheng-10575	113	145	32.54	32.54	NUM
fumecheng-10575	113	146	53.75	53.75	NUM
fumecheng-10575	113	147	32.09	32.09	NUM
fumecheng-10575	113	148	77.3	77.3	NUM
fumecheng-10575	113	149	86.25	86.25	NUM
fumecheng-10575	113	150	58.54	58.54	NUM
fumecheng-10575	113	151	6	6	NUM
fumecheng-10575	113	152	batch	batch	NOUN
fumecheng-10575	113	153	2	2	NUM
fumecheng-10575	113	154	38.2	38.2	NUM
fumecheng-10575	113	155	28.28	28.28	NUM
fumecheng-10575	113	156	41.74	41.74	NUM
fumecheng-10575	113	157	40.02	40.02	NUM
fumecheng-10575	113	158	43.46	43.46	NUM
fumecheng-10575	113	159	52.22	52.22	NUM
fumecheng-10575	113	160	59.00	59.00	NUM
fumecheng-10575	113	161	batches	batch	NOUN
fumecheng-10575	113	162	2	2	NUM
fumecheng-10575	113	163	-	-	SYM
fumecheng-10575	113	164	6	6	NUM
fumecheng-10575	113	165	38.6	38.6	NUM
fumecheng-10575	113	166	64.02	64.02	NUM
fumecheng-10575	113	167	50.66	50.66	NUM
fumecheng-10575	113	168	41.63	41.63	NUM
fumecheng-10575	113	169	59.68	59.68	NUM
fumecheng-10575	113	170	84.83	84.83	NUM
fumecheng-10575	113	171	65.98	65.98	NUM
fumecheng-10575	113	172	gas	gas	NOUN
fumecheng-10575	113	173	1	1	NUM
fumecheng-10575	113	174	–	–	PUNCT
fumecheng-10575	113	175	ethanol	ethanol	NOUN
fumecheng-10575	113	176	,	,	PUNCT
fumecheng-10575	113	177	gas	gas	NOUN
fumecheng-10575	113	178	2	2	NUM
fumecheng-10575	113	179	–	–	PUNCT
fumecheng-10575	113	180	ethylene	ethylene	NOUN
fumecheng-10575	113	181	,	,	PUNCT
fumecheng-10575	113	182	gas	gas	NOUN
fumecheng-10575	113	183	3	3	NUM
fumecheng-10575	113	184	–	–	PUNCT
fumecheng-10575	113	185	ammonia	ammonia	NOUN
fumecheng-10575	113	186	,	,	PUNCT
fumecheng-10575	113	187	gas	gas	NOUN
fumecheng-10575	113	188	4	4	NUM
fumecheng-10575	113	189	–	–	PUNCT
fumecheng-10575	113	190	acetone	acetone	NOUN
fumecheng-10575	113	191	,	,	PUNCT
fumecheng-10575	113	192	gas	gas	NOUN
fumecheng-10575	113	193	5	5	NUM
fumecheng-10575	113	194	–	–	PUNCT
fumecheng-10575	113	195	acetaldehyde	acetaldehyde	NOUN
fumecheng-10575	113	196	,	,	PUNCT
fumecheng-10575	113	197	gas	gas	NOUN
fumecheng-10575	113	198	6	6	NUM
fumecheng-10575	113	199	–	–	PUNCT
fumecheng-10575	113	200	toluene	toluene	NOUN
fumecheng-10575	113	201	when	when	SCONJ
fumecheng-10575	113	202	it	it	PRON
fumecheng-10575	113	203	comes	come	VERB
fumecheng-10575	113	204	to	to	ADP
fumecheng-10575	113	205	ammonia	ammonia	NOUN
fumecheng-10575	113	206	,	,	PUNCT
fumecheng-10575	113	207	the	the	DET
fumecheng-10575	113	208	lowest	low	ADJ
fumecheng-10575	113	209	mape	mape	NOUN
fumecheng-10575	113	210	of	of	ADP
fumecheng-10575	113	211	11.46	11.46	NUM
fumecheng-10575	113	212	%	%	NOUN
fumecheng-10575	113	213	was	be	AUX
fumecheng-10575	113	214	achieved	achieve	VERB
fumecheng-10575	113	215	by	by	ADP
fumecheng-10575	113	216	knn	knn	PROPN
fumecheng-10575	113	217	for	for	ADP
fumecheng-10575	113	218	batch	batch	NOUN
fumecheng-10575	113	219	2	2	NUM
fumecheng-10575	113	220	as	as	SCONJ
fumecheng-10575	113	221	seen	see	VERB
fumecheng-10575	113	222	in	in	ADP
fumecheng-10575	113	223	table	table	NOUN
fumecheng-10575	113	224	2	2	NUM
fumecheng-10575	113	225	,	,	PUNCT
fumecheng-10575	113	226	which	which	PRON
fumecheng-10575	113	227	is	be	AUX
fumecheng-10575	113	228	lower	low	ADJ
fumecheng-10575	113	229	than	than	ADP
fumecheng-10575	113	230	the	the	DET
fumecheng-10575	113	231	error	error	NOUN
fumecheng-10575	113	232	achieved	achieve	VERB
fumecheng-10575	113	233	by	by	ADP
fumecheng-10575	113	234	all	all	DET
fumecheng-10575	113	235	the	the	DET
fumecheng-10575	113	236	models	model	NOUN
fumecheng-10575	113	237	presented	present	VERB
fumecheng-10575	113	238	in	in	ADP
fumecheng-10575	113	239	the	the	DET
fumecheng-10575	113	240	previous	previous	ADJ
fumecheng-10575	113	241	study	study	NOUN
fumecheng-10575	113	242	[	[	X
fumecheng-10575	113	243	25	25	NUM
fumecheng-10575	113	244	]	]	PUNCT
fumecheng-10575	113	245	.	.	PUNCT
fumecheng-10575	114	1	this	this	PRON
fumecheng-10575	114	2	was	be	AUX
fumecheng-10575	114	3	closely	closely	ADV
fumecheng-10575	114	4	followed	follow	VERB
fumecheng-10575	114	5	by	by	ADP
fumecheng-10575	114	6	dt	dt	NOUN
fumecheng-10575	114	7	and	and	CCONJ
fumecheng-10575	114	8	vote	vote	VERB
fumecheng-10575	114	9	using	use	VERB
fumecheng-10575	114	10	knn	knn	PROPN
fumecheng-10575	114	11	,	,	PUNCT
fumecheng-10575	114	12	rf	rf	PROPN
fumecheng-10575	114	13	,	,	PUNCT
fumecheng-10575	114	14	dt	dt	PUNCT
fumecheng-10575	114	15	with	with	ADP
fumecheng-10575	114	16	mapes	mape	NOUN
fumecheng-10575	114	17	of	of	ADP
fumecheng-10575	114	18	18.79	18.79	NUM
fumecheng-10575	114	19	%	%	NOUN
fumecheng-10575	114	20	and	and	CCONJ
fumecheng-10575	114	21	19.93	19.93	NUM
fumecheng-10575	114	22	%	%	NOUN
fumecheng-10575	114	23	respectively	respectively	ADV
fumecheng-10575	114	24	.	.	PUNCT
fumecheng-10575	115	1	as	as	ADP
fumecheng-10575	115	2	a	a	DET
fumecheng-10575	115	3	consequence	consequence	NOUN
fumecheng-10575	115	4	,	,	PUNCT
fumecheng-10575	115	5	knn	knn	PROPN
fumecheng-10575	115	6	,	,	PUNCT
fumecheng-10575	115	7	dt	dt	PUNCT
fumecheng-10575	115	8	and	and	CCONJ
fumecheng-10575	115	9	vote	vote	VERB
fumecheng-10575	115	10	using	use	VERB
fumecheng-10575	115	11	knn	knn	PROPN
fumecheng-10575	115	12	,	,	PUNCT
fumecheng-10575	115	13	rf	rf	PROPN
fumecheng-10575	115	14	,	,	PUNCT
fumecheng-10575	115	15	dt	dt	VERB
fumecheng-10575	115	16	collectively	collectively	ADV
fumecheng-10575	115	17	outperformed	outperform	VERB
fumecheng-10575	115	18	lmnn	lmnn	PROPN
fumecheng-10575	115	19	,	,	PUNCT
fumecheng-10575	115	20	scgnn	scgnn	NOUN
fumecheng-10575	115	21	,	,	PUNCT
fumecheng-10575	115	22	svm	svm	ADJ
fumecheng-10575	115	23	,	,	PUNCT
fumecheng-10575	115	24	gp	gp	NOUN
fumecheng-10575	115	25	and	and	CCONJ
fumecheng-10575	115	26	rf	rf	PRON
fumecheng-10575	116	1	[	[	X
fumecheng-10575	116	2	25	25	NUM
fumecheng-10575	116	3	]	]	PUNCT
fumecheng-10575	116	4	.	.	PUNCT
fumecheng-10575	117	1	on	on	ADP
fumecheng-10575	117	2	the	the	DET
fumecheng-10575	117	3	other	other	ADJ
fumecheng-10575	117	4	hand	hand	NOUN
fumecheng-10575	117	5	,	,	PUNCT
fumecheng-10575	117	6	for	for	ADP
fumecheng-10575	117	7	testing	testing	NOUN
fumecheng-10575	117	8	batches	batch	VERB
fumecheng-10575	117	9	2	2	NUM
fumecheng-10575	117	10	-	-	SYM
fumecheng-10575	117	11	5	5	NUM
fumecheng-10575	117	12	,	,	PUNCT
fumecheng-10575	117	13	the	the	DET
fumecheng-10575	117	14	lowest	low	ADJ
fumecheng-10575	117	15	mapes	mape	NOUN
fumecheng-10575	117	16	were	be	AUX
fumecheng-10575	117	17	achieved	achieve	VERB
fumecheng-10575	117	18	by	by	ADP
fumecheng-10575	117	19	knn	knn	PROPN
fumecheng-10575	117	20	(	(	PUNCT
fumecheng-10575	117	21	mape	mape	NOUN
fumecheng-10575	117	22	of	of	ADP
fumecheng-10575	117	23	38.22	38.22	NUM
fumecheng-10575	117	24	%	%	NOUN
fumecheng-10575	117	25	)	)	PUNCT
fumecheng-10575	117	26	and	and	CCONJ
fumecheng-10575	117	27	dt	dt	X
fumecheng-10575	117	28	(	(	PUNCT
fumecheng-10575	117	29	mape	mape	NOUN
fumecheng-10575	117	30	of	of	ADP
fumecheng-10575	117	31	39.79	39.79	NUM
fumecheng-10575	117	32	%	%	NOUN
fumecheng-10575	117	33	)	)	PUNCT
fumecheng-10575	117	34	.	.	PUNCT
fumecheng-10575	118	1	hyperparameter	hyperparameter	NOUN
fumecheng-10575	118	2	tuning	tuning	NOUN
fumecheng-10575	118	3	of	of	ADP
fumecheng-10575	118	4	knn	knn	PROPN
fumecheng-10575	118	5	(	(	PUNCT
fumecheng-10575	118	6	setting	set	VERB
fumecheng-10575	118	7	k=7	k=7	PROPN
fumecheng-10575	118	8	)	)	PUNCT
fumecheng-10575	118	9	,	,	PUNCT
fumecheng-10575	118	10	helped	help	VERB
fumecheng-10575	118	11	knn	knn	AUX
fumecheng-10575	118	12	achieve	achieve	VERB
fumecheng-10575	118	13	the	the	DET
fumecheng-10575	118	14	lowest	low	ADJ
fumecheng-10575	118	15	mape	mape	NOUN
fumecheng-10575	118	16	in	in	ADP
fumecheng-10575	118	17	comparison	comparison	NOUN
fumecheng-10575	118	18	to	to	ADP
fumecheng-10575	118	19	other	other	ADJ
fumecheng-10575	118	20	models	model	NOUN
fumecheng-10575	118	21	tested	test	VERB
fumecheng-10575	118	22	in	in	ADP
fumecheng-10575	118	23	this	this	DET
fumecheng-10575	118	24	work	work	NOUN
fumecheng-10575	118	25	,	,	PUNCT
fumecheng-10575	118	26	and	and	CCONJ
fumecheng-10575	118	27	those	those	PRON
fumecheng-10575	118	28	in	in	ADP
fumecheng-10575	118	29	the	the	DET
fumecheng-10575	118	30	previous	previous	ADJ
fumecheng-10575	118	31	study	study	NOUN
fumecheng-10575	118	32	[	[	X
fumecheng-10575	118	33	25	25	NUM
fumecheng-10575	118	34	]	]	PUNCT
fumecheng-10575	118	35	.	.	PUNCT
fumecheng-10575	119	1	for	for	ADP
fumecheng-10575	119	2	acetone	acetone	NOUN
fumecheng-10575	119	3	,	,	PUNCT
fumecheng-10575	119	4	rf(r	rf(r	NOUN
fumecheng-10575	119	5	)	)	PUNCT
fumecheng-10575	119	6	provided	provide	VERB
fumecheng-10575	119	7	the	the	DET
fumecheng-10575	119	8	lowest	low	ADJ
fumecheng-10575	119	9	mape	mape	NOUN
fumecheng-10575	119	10	of	of	ADP
fumecheng-10575	119	11	20.47	20.47	NUM
fumecheng-10575	119	12	%	%	NOUN
fumecheng-10575	119	13	amongst	amongst	ADP
fumecheng-10575	119	14	all	all	DET
fumecheng-10575	119	15	the	the	DET
fumecheng-10575	119	16	implemented	implement	VERB
fumecheng-10575	119	17	models	model	NOUN
fumecheng-10575	119	18	.	.	PUNCT
fumecheng-10575	120	1	although	although	SCONJ
fumecheng-10575	120	2	the	the	DET
fumecheng-10575	120	3	best	good	ADJ
fumecheng-10575	120	4	performance	performance	NOUN
fumecheng-10575	120	5	was	be	AUX
fumecheng-10575	120	6	attributed	attribute	VERB
fumecheng-10575	120	7	to	to	ADP
fumecheng-10575	120	8	svm	svm	PROPN
fumecheng-10575	120	9	(	(	PUNCT
fumecheng-10575	120	10	mape	mape	NOUN
fumecheng-10575	120	11	of	of	ADP
fumecheng-10575	120	12	10.16	10.16	NUM
fumecheng-10575	120	13	%	%	NOUN
fumecheng-10575	120	14	)	)	PUNCT
fumecheng-10575	120	15	from	from	ADP
fumecheng-10575	120	16	the	the	DET
fumecheng-10575	120	17	previous	previous	ADJ
fumecheng-10575	120	18	study	study	NOUN
fumecheng-10575	120	19	[	[	X
fumecheng-10575	120	20	25	25	NUM
fumecheng-10575	120	21	]	]	PUNCT
fumecheng-10575	120	22	,	,	PUNCT
fumecheng-10575	120	23	the	the	DET
fumecheng-10575	120	24	performance	performance	NOUN
fumecheng-10575	120	25	of	of	ADP
fumecheng-10575	120	26	rf(r	rf(r	NOUN
fumecheng-10575	120	27	)	)	PUNCT
fumecheng-10575	120	28	was	be	AUX
fumecheng-10575	120	29	comparable	comparable	ADJ
fumecheng-10575	120	30	to	to	ADP
fumecheng-10575	120	31	that	that	PRON
fumecheng-10575	120	32	of	of	ADP
fumecheng-10575	120	33	hrf	hrf	PROPN
fumecheng-10575	120	34	(	(	PUNCT
fumecheng-10575	120	35	mape	mape	NOUN
fumecheng-10575	120	36	of	of	ADP
fumecheng-10575	120	37	20.44	20.44	NUM
fumecheng-10575	120	38	%	%	NOUN
fumecheng-10575	120	39	)	)	PUNCT
fumecheng-10575	120	40	that	that	PRON
fumecheng-10575	120	41	had	have	VERB
fumecheng-10575	120	42	the	the	DET
fumecheng-10575	120	43	second	second	ADV
fumecheng-10575	120	44	-	-	PUNCT
fumecheng-10575	120	45	best	good	ADJ
fumecheng-10575	120	46	performance	performance	NOUN
fumecheng-10575	120	47	.	.	PUNCT
fumecheng-10575	121	1	the	the	DET
fumecheng-10575	121	2	training	training	NOUN
fumecheng-10575	121	3	dataset	dataset	NOUN
fumecheng-10575	121	4	had	have	VERB
fumecheng-10575	121	5	low	low	ADJ
fumecheng-10575	121	6	frequencies	frequency	NOUN
fumecheng-10575	121	7	of	of	ADP
fumecheng-10575	121	8	high	high	ADJ
fumecheng-10575	121	9	concentrations	concentration	NOUN
fumecheng-10575	121	10	,	,	PUNCT
fumecheng-10575	121	11	whereas	whereas	SCONJ
fumecheng-10575	121	12	,	,	PUNCT
fumecheng-10575	121	13	the	the	DET
fumecheng-10575	121	14	testing	testing	NOUN
fumecheng-10575	121	15	dataset	dataset	NOUN
fumecheng-10575	121	16	had	have	VERB
fumecheng-10575	121	17	much	much	ADV
fumecheng-10575	121	18	higher	high	ADJ
fumecheng-10575	121	19	frequencies	frequency	NOUN
fumecheng-10575	121	20	of	of	ADP
fumecheng-10575	121	21	high	high	ADJ
fumecheng-10575	121	22	concentrations	concentration	NOUN
fumecheng-10575	121	23	.	.	PUNCT
fumecheng-10575	122	1	despite	despite	SCONJ
fumecheng-10575	122	2	this	this	DET
fumecheng-10575	122	3	discrepancy	discrepancy	NOUN
fumecheng-10575	122	4	,	,	PUNCT
fumecheng-10575	122	5	rf(r	rf(r	NOUN
fumecheng-10575	122	6	)	)	PUNCT
fumecheng-10575	122	7	rendered	render	VERB
fumecheng-10575	122	8	the	the	DET
fumecheng-10575	122	9	lowest	low	ADJ
fumecheng-10575	122	10	mape	mape	NOUN
fumecheng-10575	122	11	of	of	ADP
fumecheng-10575	122	12	19.8	19.8	NUM
fumecheng-10575	122	13	%	%	NOUN
fumecheng-10575	122	14	for	for	ADP
fumecheng-10575	122	15	testing	testing	NOUN
fumecheng-10575	122	16	batches	batch	NOUN
fumecheng-10575	122	17	2	2	NUM
fumecheng-10575	122	18	-	-	SYM
fumecheng-10575	122	19	5	5	NUM
fumecheng-10575	122	20	in	in	ADP
fumecheng-10575	122	21	this	this	DET
fumecheng-10575	122	22	work	work	NOUN
fumecheng-10575	122	23	.	.	PUNCT
fumecheng-10575	123	1	besides	besides	SCONJ
fumecheng-10575	123	2	rf(r	rf(r	NOUN
fumecheng-10575	123	3	)	)	PUNCT
fumecheng-10575	123	4	,	,	PUNCT
fumecheng-10575	123	5	bagging	bag	VERB
fumecheng-10575	123	6	using	use	VERB
fumecheng-10575	123	7	rf	rf	ADJ
fumecheng-10575	123	8	(	(	PUNCT
fumecheng-10575	123	9	mape	mape	NOUN
fumecheng-10575	123	10	of	of	ADP
fumecheng-10575	123	11	22.14	22.14	NUM
fumecheng-10575	123	12	%	%	NOUN
fumecheng-10575	123	13	)	)	PUNCT
fumecheng-10575	123	14	and	and	CCONJ
fumecheng-10575	123	15	vote	vote	VERB
fumecheng-10575	123	16	using	use	VERB
fumecheng-10575	123	17	gbt	gbt	PROPN
fumecheng-10575	123	18	,	,	PUNCT
fumecheng-10575	123	19	rf	rf	PRON
fumecheng-10575	123	20	(	(	PUNCT
fumecheng-10575	123	21	mape	mape	NOUN
fumecheng-10575	123	22	of	of	ADP
fumecheng-10575	123	23	26.55	26.55	NUM
fumecheng-10575	123	24	%	%	NOUN
fumecheng-10575	123	25	)	)	PUNCT
fumecheng-10575	123	26	also	also	ADV
fumecheng-10575	123	27	delivered	deliver	VERB
fumecheng-10575	123	28	a	a	DET
fumecheng-10575	123	29	good	good	ADJ
fumecheng-10575	123	30	performance	performance	NOUN
fumecheng-10575	123	31	.	.	PUNCT
fumecheng-10575	124	1	for	for	ADP
fumecheng-10575	124	2	testing	testing	NOUN
fumecheng-10575	124	3	batch	batch	NOUN
fumecheng-10575	124	4	2	2	NUM
fumecheng-10575	124	5	of	of	ADP
fumecheng-10575	124	6	acetaldehyde	acetaldehyde	NOUN
fumecheng-10575	124	7	,	,	PUNCT
fumecheng-10575	124	8	knn	knn	PROPN
fumecheng-10575	124	9	demonstrated	demonstrate	VERB
fumecheng-10575	124	10	the	the	DET
fumecheng-10575	124	11	best	good	ADJ
fumecheng-10575	124	12	performance	performance	NOUN
fumecheng-10575	124	13	with	with	ADP
fumecheng-10575	124	14	a	a	DET
fumecheng-10575	124	15	staggering	staggering	ADJ
fumecheng-10575	124	16	low	low	ADJ
fumecheng-10575	124	17	mape	mape	NOUN
fumecheng-10575	124	18	of	of	ADP
fumecheng-10575	124	19	25.39	25.39	NUM
fumecheng-10575	124	20	%	%	NOUN
fumecheng-10575	124	21	,	,	PUNCT
fumecheng-10575	124	22	followed	follow	VERB
fumecheng-10575	124	23	by	by	ADP
fumecheng-10575	124	24	rf(r	rf(r	NOUN
fumecheng-10575	124	25	)	)	PUNCT
fumecheng-10575	124	26	(	(	PUNCT
fumecheng-10575	124	27	mape	mape	NOUN
fumecheng-10575	124	28	of	of	ADP
fumecheng-10575	124	29	26.12	26.12	NUM
fumecheng-10575	124	30	%	%	NOUN
fumecheng-10575	124	31	)	)	PUNCT
fumecheng-10575	124	32	and	and	CCONJ
fumecheng-10575	124	33	bagging	bagging	NOUN
fumecheng-10575	124	34	using	use	VERB
fumecheng-10575	124	35	rf	rf	ADJ
fumecheng-10575	124	36	(	(	PUNCT
fumecheng-10575	124	37	mape	mape	NOUN
fumecheng-10575	124	38	of	of	ADP
fumecheng-10575	124	39	30.74	30.74	NUM
fumecheng-10575	124	40	%	%	NOUN
fumecheng-10575	124	41	)	)	PUNCT
fumecheng-10575	124	42	(	(	PUNCT
fumecheng-10575	124	43	see	see	VERB
fumecheng-10575	124	44	table	table	NOUN
fumecheng-10575	124	45	2	2	NUM
fumecheng-10575	124	46	)	)	PUNCT
fumecheng-10575	124	47	.	.	PUNCT
fumecheng-10575	125	1	on	on	ADP
fumecheng-10575	125	2	the	the	DET
fumecheng-10575	125	3	other	other	ADJ
fumecheng-10575	125	4	hand	hand	NOUN
fumecheng-10575	125	5	,	,	PUNCT
fumecheng-10575	125	6	for	for	ADP
fumecheng-10575	125	7	testing	testing	NOUN
fumecheng-10575	125	8	batches	batch	VERB
fumecheng-10575	125	9	2	2	NUM
fumecheng-10575	125	10	-	-	SYM
fumecheng-10575	125	11	5	5	NUM
fumecheng-10575	125	12	,	,	PUNCT
fumecheng-10575	125	13	the	the	DET
fumecheng-10575	125	14	best	good	ADJ
fumecheng-10575	125	15	performance	performance	NOUN
fumecheng-10575	125	16	was	be	AUX
fumecheng-10575	125	17	observed	observe	VERB
fumecheng-10575	125	18	for	for	ADP
fumecheng-10575	125	19	rf(r	rf(r	NOUN
fumecheng-10575	125	20	)	)	PUNCT
fumecheng-10575	125	21	with	with	ADP
fumecheng-10575	125	22	the	the	DET
fumecheng-10575	125	23	lowest	low	ADJ
fumecheng-10575	125	24	mape	mape	NOUN
fumecheng-10575	125	25	of	of	ADP
fumecheng-10575	125	26	32.09	32.09	NUM
fumecheng-10575	125	27	%	%	NOUN
fumecheng-10575	125	28	,	,	PUNCT
fumecheng-10575	125	29	closely	closely	ADV
fumecheng-10575	125	30	486	486	NUM
fumecheng-10575	125	31	l.	l.	PROPN
fumecheng-10575	125	32	mahmood	mahmood	PROPN
fumecheng-10575	125	33	,	,	PUNCT
fumecheng-10575	125	34	z.	z.	PROPN
fumecheng-10575	125	35	bahroun	bahroun	PROPN
fumecheng-10575	125	36	,	,	PUNCT
fumecheng-10575	125	37	m.	m.	NOUN
fumecheng-10575	125	38	ghommem	ghommem	PROPN
fumecheng-10575	125	39	,	,	PUNCT
fumecheng-10575	125	40	h.	h.	PROPN
fumecheng-10575	125	41	alshraideh	alshraideh	PROPN
fumecheng-10575	125	42	followed	follow	VERB
fumecheng-10575	125	43	by	by	ADP
fumecheng-10575	125	44	knn	knn	PROPN
fumecheng-10575	125	45	(	(	PUNCT
fumecheng-10575	125	46	mape	mape	NOUN
fumecheng-10575	125	47	of	of	ADP
fumecheng-10575	125	48	32.54	32.54	NUM
fumecheng-10575	125	49	%	%	NOUN
fumecheng-10575	125	50	)	)	PUNCT
fumecheng-10575	125	51	and	and	CCONJ
fumecheng-10575	125	52	bagging	bagging	NOUN
fumecheng-10575	125	53	using	use	VERB
fumecheng-10575	125	54	rf	rf	ADJ
fumecheng-10575	125	55	(	(	PUNCT
fumecheng-10575	125	56	mape	mape	NOUN
fumecheng-10575	125	57	of	of	ADP
fumecheng-10575	125	58	33.17	33.17	NUM
fumecheng-10575	125	59	%	%	NOUN
fumecheng-10575	125	60	)	)	PUNCT
fumecheng-10575	125	61	.	.	PUNCT
fumecheng-10575	126	1	for	for	ADP
fumecheng-10575	126	2	toluene	toluene	NOUN
fumecheng-10575	126	3	,	,	PUNCT
fumecheng-10575	126	4	batches	batch	VERB
fumecheng-10575	126	5	2	2	NUM
fumecheng-10575	126	6	-	-	SYM
fumecheng-10575	126	7	6	6	NUM
fumecheng-10575	126	8	were	be	AUX
fumecheng-10575	126	9	tested	test	VERB
fumecheng-10575	126	10	as	as	ADP
fumecheng-10575	126	11	opposed	oppose	VERB
fumecheng-10575	126	12	to	to	ADP
fumecheng-10575	126	13	batches	batch	NOUN
fumecheng-10575	126	14	2	2	NUM
fumecheng-10575	126	15	-	-	SYM
fumecheng-10575	126	16	5	5	NUM
fumecheng-10575	126	17	since	since	SCONJ
fumecheng-10575	126	18	no	no	DET
fumecheng-10575	126	19	measurements	measurement	NOUN
fumecheng-10575	126	20	were	be	AUX
fumecheng-10575	126	21	recorded	record	VERB
fumecheng-10575	126	22	for	for	ADP
fumecheng-10575	126	23	toluene	toluene	NOUN
fumecheng-10575	126	24	in	in	ADP
fumecheng-10575	126	25	batches	batch	NOUN
fumecheng-10575	126	26	3	3	NUM
fumecheng-10575	126	27	,	,	PUNCT
fumecheng-10575	126	28	4	4	NUM
fumecheng-10575	126	29	and	and	CCONJ
fumecheng-10575	126	30	5	5	NUM
fumecheng-10575	126	31	.	.	PUNCT
fumecheng-10575	126	32	based	base	VERB
fumecheng-10575	126	33	on	on	ADP
fumecheng-10575	126	34	the	the	DET
fumecheng-10575	126	35	regression	regression	NOUN
fumecheng-10575	126	36	results	result	NOUN
fumecheng-10575	126	37	,	,	PUNCT
fumecheng-10575	126	38	the	the	DET
fumecheng-10575	126	39	best	well	ADV
fumecheng-10575	126	40	performing	performing	NOUN
fumecheng-10575	126	41	model	model	NOUN
fumecheng-10575	126	42	for	for	ADP
fumecheng-10575	126	43	testing	testing	NOUN
fumecheng-10575	126	44	batch	batch	NOUN
fumecheng-10575	126	45	2	2	NUM
fumecheng-10575	126	46	was	be	AUX
fumecheng-10575	126	47	knn	knn	PROPN
fumecheng-10575	126	48	(	(	PUNCT
fumecheng-10575	126	49	mape	mape	NOUN
fumecheng-10575	126	50	of	of	ADP
fumecheng-10575	126	51	28.28	28.28	NUM
fumecheng-10575	126	52	%	%	NOUN
fumecheng-10575	126	53	)	)	PUNCT
fumecheng-10575	126	54	with	with	ADP
fumecheng-10575	126	55	a	a	DET
fumecheng-10575	126	56	performance	performance	NOUN
fumecheng-10575	126	57	comparable	comparable	ADJ
fumecheng-10575	126	58	to	to	ADP
fumecheng-10575	126	59	hrf	hrf	PROPN
fumecheng-10575	126	60	(	(	PUNCT
fumecheng-10575	126	61	mape	mape	NOUN
fumecheng-10575	126	62	of	of	ADP
fumecheng-10575	126	63	21.48	21.48	NUM
fumecheng-10575	126	64	%	%	NOUN
fumecheng-10575	126	65	)	)	PUNCT
fumecheng-10575	126	66	and	and	CCONJ
fumecheng-10575	126	67	gp	gp	NOUN
fumecheng-10575	126	68	(	(	PUNCT
fumecheng-10575	126	69	mape	mape	NOUN
fumecheng-10575	126	70	of	of	ADP
fumecheng-10575	126	71	26.58	26.58	NUM
fumecheng-10575	126	72	%	%	NOUN
fumecheng-10575	126	73	)	)	PUNCT
fumecheng-10575	126	74	from	from	ADP
fumecheng-10575	126	75	the	the	DET
fumecheng-10575	126	76	previous	previous	ADJ
fumecheng-10575	126	77	study	study	NOUN
fumecheng-10575	126	78	[	[	X
fumecheng-10575	126	79	25	25	NUM
fumecheng-10575	126	80	]	]	PUNCT
fumecheng-10575	126	81	.	.	PUNCT
fumecheng-10575	127	1	other	other	ADJ
fumecheng-10575	127	2	models	model	NOUN
fumecheng-10575	127	3	that	that	PRON
fumecheng-10575	127	4	performed	perform	VERB
fumecheng-10575	127	5	equivalently	equivalently	ADV
fumecheng-10575	127	6	well	well	ADV
fumecheng-10575	127	7	included	include	VERB
fumecheng-10575	127	8	bagging	bagging	NOUN
fumecheng-10575	127	9	using	use	VERB
fumecheng-10575	127	10	rf	rf	ADJ
fumecheng-10575	127	11	(	(	PUNCT
fumecheng-10575	127	12	mape	mape	NOUN
fumecheng-10575	127	13	of	of	ADP
fumecheng-10575	127	14	38.2	38.2	NUM
fumecheng-10575	127	15	%	%	NOUN
fumecheng-10575	127	16	)	)	PUNCT
fumecheng-10575	127	17	and	and	CCONJ
fumecheng-10575	127	18	rf(r	rf(r	NOUN
fumecheng-10575	127	19	)	)	PUNCT
fumecheng-10575	127	20	(	(	PUNCT
fumecheng-10575	127	21	mape	mape	NOUN
fumecheng-10575	127	22	of	of	ADP
fumecheng-10575	127	23	40.02	40.02	NUM
fumecheng-10575	127	24	%	%	NOUN
fumecheng-10575	127	25	)	)	PUNCT
fumecheng-10575	127	26	which	which	PRON
fumecheng-10575	127	27	had	have	VERB
fumecheng-10575	127	28	mapes	mape	NOUN
fumecheng-10575	127	29	lower	low	ADJ
fumecheng-10575	127	30	than	than	ADP
fumecheng-10575	127	31	the	the	DET
fumecheng-10575	127	32	models	model	NOUN
fumecheng-10575	127	33	used	use	VERB
fumecheng-10575	127	34	in	in	ADP
fumecheng-10575	127	35	the	the	DET
fumecheng-10575	127	36	previous	previous	ADJ
fumecheng-10575	127	37	study	study	NOUN
fumecheng-10575	127	38	[	[	X
fumecheng-10575	127	39	25	25	NUM
fumecheng-10575	127	40	]	]	PUNCT
fumecheng-10575	127	41	.	.	PUNCT
fumecheng-10575	128	1	for	for	ADP
fumecheng-10575	128	2	batches	batch	NOUN
fumecheng-10575	128	3	2	2	NUM
fumecheng-10575	128	4	-	-	SYM
fumecheng-10575	128	5	6	6	NUM
fumecheng-10575	128	6	,	,	PUNCT
fumecheng-10575	128	7	the	the	DET
fumecheng-10575	128	8	best	good	ADJ
fumecheng-10575	128	9	results	result	NOUN
fumecheng-10575	128	10	were	be	AUX
fumecheng-10575	128	11	attained	attain	VERB
fumecheng-10575	128	12	using	use	VERB
fumecheng-10575	128	13	bagging	bagging	NOUN
fumecheng-10575	128	14	using	use	VERB
fumecheng-10575	128	15	rf	rf	ADJ
fumecheng-10575	128	16	(	(	PUNCT
fumecheng-10575	128	17	mape	mape	NOUN
fumecheng-10575	128	18	of	of	ADP
fumecheng-10575	128	19	38.6	38.6	NUM
fumecheng-10575	128	20	%	%	NOUN
fumecheng-10575	128	21	)	)	PUNCT
fumecheng-10575	128	22	,	,	PUNCT
fumecheng-10575	128	23	vote	vote	NOUN
fumecheng-10575	128	24	using	use	VERB
fumecheng-10575	128	25	gbt	gbt	PROPN
fumecheng-10575	128	26	,	,	PUNCT
fumecheng-10575	128	27	rf	rf	PRON
fumecheng-10575	128	28	(	(	PUNCT
fumecheng-10575	128	29	mape	mape	NOUN
fumecheng-10575	128	30	of	of	ADP
fumecheng-10575	128	31	50.66	50.66	NUM
fumecheng-10575	128	32	%	%	NOUN
fumecheng-10575	128	33	)	)	PUNCT
fumecheng-10575	128	34	and	and	CCONJ
fumecheng-10575	128	35	rf(r	rf(r	NOUN
fumecheng-10575	128	36	)	)	PUNCT
fumecheng-10575	128	37	(	(	PUNCT
fumecheng-10575	128	38	mape	mape	NOUN
fumecheng-10575	128	39	of	of	ADP
fumecheng-10575	128	40	41.63	41.63	NUM
fumecheng-10575	128	41	%	%	NOUN
fumecheng-10575	128	42	)	)	PUNCT
fumecheng-10575	128	43	,	,	PUNCT
fumecheng-10575	128	44	which	which	PRON
fumecheng-10575	128	45	collectively	collectively	ADV
fumecheng-10575	128	46	had	have	VERB
fumecheng-10575	128	47	errors	error	NOUN
fumecheng-10575	128	48	lower	low	ADJ
fumecheng-10575	128	49	than	than	ADP
fumecheng-10575	128	50	all	all	DET
fumecheng-10575	128	51	the	the	DET
fumecheng-10575	128	52	models	model	NOUN
fumecheng-10575	128	53	except	except	SCONJ
fumecheng-10575	128	54	hrf	hrf	PROPN
fumecheng-10575	128	55	from	from	ADP
fumecheng-10575	128	56	the	the	DET
fumecheng-10575	128	57	previous	previous	ADJ
fumecheng-10575	128	58	study	study	NOUN
fumecheng-10575	128	59	[	[	X
fumecheng-10575	128	60	25	25	NUM
fumecheng-10575	128	61	]	]	PUNCT
fumecheng-10575	128	62	.	.	PUNCT
fumecheng-10575	129	1	going	go	VERB
fumecheng-10575	129	2	a	a	DET
fumecheng-10575	129	3	step	step	NOUN
fumecheng-10575	129	4	further	far	ADV
fumecheng-10575	129	5	,	,	PUNCT
fumecheng-10575	129	6	feature	feature	NOUN
fumecheng-10575	129	7	selection	selection	NOUN
fumecheng-10575	129	8	techniques	technique	NOUN
fumecheng-10575	129	9	of	of	ADP
fumecheng-10575	129	10	sequential	sequential	ADJ
fumecheng-10575	129	11	forward	forward	ADJ
fumecheng-10575	129	12	selection	selection	NOUN
fumecheng-10575	129	13	(	(	PUNCT
fumecheng-10575	129	14	sfs	sfs	NOUN
fumecheng-10575	129	15	)	)	PUNCT
fumecheng-10575	129	16	and	and	CCONJ
fumecheng-10575	129	17	sequential	sequential	ADJ
fumecheng-10575	129	18	backward	backward	ADJ
fumecheng-10575	129	19	elimination	elimination	NOUN
fumecheng-10575	129	20	(	(	PUNCT
fumecheng-10575	129	21	sbe	sbe	PROPN
fumecheng-10575	129	22	)	)	PUNCT
fumecheng-10575	129	23	,	,	PUNCT
fumecheng-10575	129	24	and	and	CCONJ
fumecheng-10575	129	25	the	the	DET
fumecheng-10575	129	26	dimensionality	dimensionality	NOUN
fumecheng-10575	129	27	reduction	reduction	NOUN
fumecheng-10575	129	28	technique	technique	NOUN
fumecheng-10575	129	29	of	of	ADP
fumecheng-10575	129	30	principle	principle	ADJ
fumecheng-10575	129	31	component	component	NOUN
fumecheng-10575	129	32	analysis	analysis	NOUN
fumecheng-10575	129	33	(	(	PUNCT
fumecheng-10575	129	34	pca	pca	NOUN
fumecheng-10575	129	35	)	)	PUNCT
fumecheng-10575	129	36	were	be	AUX
fumecheng-10575	129	37	applied	apply	VERB
fumecheng-10575	129	38	to	to	PART
fumecheng-10575	129	39	investigate	investigate	VERB
fumecheng-10575	129	40	any	any	DET
fumecheng-10575	129	41	potential	potential	ADJ
fumecheng-10575	129	42	change	change	NOUN
fumecheng-10575	129	43	in	in	ADP
fumecheng-10575	129	44	the	the	DET
fumecheng-10575	129	45	regression	regression	NOUN
fumecheng-10575	129	46	performance	performance	NOUN
fumecheng-10575	129	47	.	.	PUNCT
fumecheng-10575	130	1	pca	pca	PROPN
fumecheng-10575	130	2	for	for	ADP
fumecheng-10575	130	3	the	the	DET
fumecheng-10575	130	4	given	give	VERB
fumecheng-10575	130	5	dataset	dataset	NOUN
fumecheng-10575	130	6	resulted	result	VERB
fumecheng-10575	130	7	in	in	ADP
fumecheng-10575	130	8	128	128	NUM
fumecheng-10575	130	9	pcs	pc	NOUN
fumecheng-10575	130	10	as	as	SCONJ
fumecheng-10575	130	11	the	the	DET
fumecheng-10575	130	12	dataset	dataset	NOUN
fumecheng-10575	130	13	contained	contain	VERB
fumecheng-10575	130	14	128	128	NUM
fumecheng-10575	130	15	features	feature	NOUN
fumecheng-10575	130	16	.	.	PUNCT
fumecheng-10575	131	1	to	to	PART
fumecheng-10575	131	2	minimize	minimize	VERB
fumecheng-10575	131	3	dimensionality	dimensionality	NOUN
fumecheng-10575	131	4	while	while	SCONJ
fumecheng-10575	131	5	retaining	retain	VERB
fumecheng-10575	131	6	maximum	maximum	ADJ
fumecheng-10575	131	7	data	datum	NOUN
fumecheng-10575	131	8	variance	variance	NOUN
fumecheng-10575	131	9	,	,	PUNCT
fumecheng-10575	131	10	the	the	DET
fumecheng-10575	131	11	limit	limit	NOUN
fumecheng-10575	131	12	for	for	ADP
fumecheng-10575	131	13	data	datum	NOUN
fumecheng-10575	131	14	variance	variance	NOUN
fumecheng-10575	131	15	was	be	AUX
fumecheng-10575	131	16	set	set	VERB
fumecheng-10575	131	17	to	to	ADP
fumecheng-10575	131	18	95	95	NUM
fumecheng-10575	131	19	%	%	NOUN
fumecheng-10575	131	20	,	,	PUNCT
fumecheng-10575	131	21	where	where	SCONJ
fumecheng-10575	131	22	the	the	DET
fumecheng-10575	131	23	number	number	NOUN
fumecheng-10575	131	24	of	of	ADP
fumecheng-10575	131	25	independent	independent	ADJ
fumecheng-10575	131	26	pcs	pc	NOUN
fumecheng-10575	131	27	that	that	PRON
fumecheng-10575	131	28	yielded	yield	VERB
fumecheng-10575	131	29	94.3	94.3	NUM
fumecheng-10575	131	30	%	%	NOUN
fumecheng-10575	131	31	variance	variance	NOUN
fumecheng-10575	131	32	in	in	ADP
fumecheng-10575	131	33	the	the	DET
fumecheng-10575	131	34	data	datum	NOUN
fumecheng-10575	131	35	was	be	AUX
fumecheng-10575	131	36	found	find	VERB
fumecheng-10575	131	37	to	to	PART
fumecheng-10575	131	38	be	be	AUX
fumecheng-10575	131	39	4	4	NUM
fumecheng-10575	131	40	.	.	PUNCT
fumecheng-10575	132	1	a	a	DET
fumecheng-10575	132	2	summary	summary	NOUN
fumecheng-10575	132	3	of	of	ADP
fumecheng-10575	132	4	the	the	DET
fumecheng-10575	132	5	best	good	ADJ
fumecheng-10575	132	6	performing	performing	NOUN
fumecheng-10575	132	7	models	model	NOUN
fumecheng-10575	132	8	for	for	ADP
fumecheng-10575	132	9	each	each	DET
fumecheng-10575	132	10	gas	gas	NOUN
fumecheng-10575	132	11	and	and	CCONJ
fumecheng-10575	132	12	the	the	DET
fumecheng-10575	132	13	associated	associated	ADJ
fumecheng-10575	132	14	mapes	mapes	PROPN
fumecheng-10575	132	15	is	be	AUX
fumecheng-10575	132	16	shown	show	VERB
fumecheng-10575	132	17	in	in	ADP
fumecheng-10575	132	18	table	table	NOUN
fumecheng-10575	132	19	3	3	NUM
fumecheng-10575	132	20	.	.	PUNCT
fumecheng-10575	132	21	feature	feature	NOUN
fumecheng-10575	132	22	selection	selection	NOUN
fumecheng-10575	132	23	or	or	CCONJ
fumecheng-10575	132	24	pca	pca	NOUN
fumecheng-10575	132	25	helped	help	VERB
fumecheng-10575	132	26	to	to	PART
fumecheng-10575	132	27	minimize	minimize	VERB
fumecheng-10575	132	28	the	the	DET
fumecheng-10575	132	29	redundancy	redundancy	NOUN
fumecheng-10575	132	30	in	in	ADP
fumecheng-10575	132	31	the	the	DET
fumecheng-10575	132	32	feature	feature	NOUN
fumecheng-10575	132	33	datasets	dataset	NOUN
fumecheng-10575	132	34	and	and	CCONJ
fumecheng-10575	132	35	thereby	thereby	ADV
fumecheng-10575	132	36	,	,	PUNCT
fumecheng-10575	132	37	improve	improve	VERB
fumecheng-10575	132	38	the	the	DET
fumecheng-10575	132	39	performance	performance	NOUN
fumecheng-10575	132	40	of	of	ADP
fumecheng-10575	132	41	the	the	DET
fumecheng-10575	132	42	implemented	implement	VERB
fumecheng-10575	132	43	models	model	NOUN
fumecheng-10575	132	44	.	.	PUNCT
fumecheng-10575	133	1	moreover	moreover	ADV
fumecheng-10575	133	2	,	,	PUNCT
fumecheng-10575	133	3	models	model	NOUN
fumecheng-10575	133	4	that	that	PRON
fumecheng-10575	133	5	did	do	AUX
fumecheng-10575	133	6	not	not	PART
fumecheng-10575	133	7	perform	perform	VERB
fumecheng-10575	133	8	well	well	ADV
fumecheng-10575	133	9	earlier	early	ADV
fumecheng-10575	133	10	were	be	AUX
fumecheng-10575	133	11	able	able	ADJ
fumecheng-10575	133	12	to	to	PART
fumecheng-10575	133	13	gain	gain	VERB
fumecheng-10575	133	14	an	an	DET
fumecheng-10575	133	15	advantage	advantage	NOUN
fumecheng-10575	133	16	to	to	ADP
fumecheng-10575	133	17	their	their	PRON
fumecheng-10575	133	18	benefit	benefit	NOUN
fumecheng-10575	133	19	.	.	PUNCT
fumecheng-10575	134	1	in	in	ADP
fumecheng-10575	134	2	case	case	NOUN
fumecheng-10575	134	3	of	of	ADP
fumecheng-10575	134	4	sfs	sfs	NOUN
fumecheng-10575	134	5	,	,	PUNCT
fumecheng-10575	134	6	82.61	82.61	NUM
fumecheng-10575	134	7	%	%	NOUN
fumecheng-10575	134	8	of	of	ADP
fumecheng-10575	134	9	the	the	DET
fumecheng-10575	134	10	features	feature	NOUN
fumecheng-10575	134	11	selected	select	VERB
fumecheng-10575	134	12	represented	represent	VERB
fumecheng-10575	134	13	the	the	DET
fumecheng-10575	134	14	transient	transient	ADJ
fumecheng-10575	134	15	response	response	NOUN
fumecheng-10575	134	16	of	of	ADP
fumecheng-10575	134	17	the	the	DET
fumecheng-10575	134	18	sensors	sensor	NOUN
fumecheng-10575	134	19	,	,	PUNCT
fumecheng-10575	134	20	whereas	whereas	ADV
fumecheng-10575	134	21	,	,	PUNCT
fumecheng-10575	134	22	quite	quite	DET
fumecheng-10575	134	23	a	a	DET
fumecheng-10575	134	24	few	few	ADJ
fumecheng-10575	134	25	pertained	pertain	VERB
fumecheng-10575	134	26	to	to	ADP
fumecheng-10575	134	27	the	the	DET
fumecheng-10575	134	28	steady	steady	ADJ
fumecheng-10575	134	29	-	-	PUNCT
fumecheng-10575	134	30	state	state	NOUN
fumecheng-10575	134	31	response	response	NOUN
fumecheng-10575	134	32	of	of	ADP
fumecheng-10575	134	33	the	the	DET
fumecheng-10575	134	34	sensors	sensor	NOUN
fumecheng-10575	134	35	.	.	PUNCT
fumecheng-10575	135	1	similarly	similarly	ADV
fumecheng-10575	135	2	,	,	PUNCT
fumecheng-10575	135	3	in	in	ADP
fumecheng-10575	135	4	case	case	NOUN
fumecheng-10575	135	5	of	of	ADP
fumecheng-10575	135	6	sbe	sbe	PROPN
fumecheng-10575	135	7	,	,	PUNCT
fumecheng-10575	135	8	the	the	DET
fumecheng-10575	135	9	transient	transient	ADJ
fumecheng-10575	135	10	response	response	NOUN
fumecheng-10575	135	11	of	of	ADP
fumecheng-10575	135	12	the	the	DET
fumecheng-10575	135	13	sensors	sensor	NOUN
fumecheng-10575	135	14	formed	form	VERB
fumecheng-10575	135	15	74.76	74.76	NUM
fumecheng-10575	135	16	%	%	NOUN
fumecheng-10575	135	17	of	of	ADP
fumecheng-10575	135	18	the	the	DET
fumecheng-10575	135	19	remaining	remain	VERB
fumecheng-10575	135	20	features	feature	NOUN
fumecheng-10575	135	21	.	.	PUNCT
fumecheng-10575	136	1	though	though	SCONJ
fumecheng-10575	136	2	more	more	ADJ
fumecheng-10575	136	3	importance	importance	NOUN
fumecheng-10575	136	4	is	be	AUX
fumecheng-10575	136	5	attributed	attribute	VERB
fumecheng-10575	136	6	to	to	ADP
fumecheng-10575	136	7	the	the	DET
fumecheng-10575	136	8	transient	transient	ADJ
fumecheng-10575	136	9	features	feature	NOUN
fumecheng-10575	136	10	,	,	PUNCT
fumecheng-10575	136	11	our	our	PRON
fumecheng-10575	136	12	work	work	NOUN
fumecheng-10575	136	13	implies	imply	VERB
fumecheng-10575	136	14	the	the	DET
fumecheng-10575	136	15	importance	importance	NOUN
fumecheng-10575	136	16	of	of	ADP
fumecheng-10575	136	17	both	both	CCONJ
fumecheng-10575	136	18	steady	steady	ADJ
fumecheng-10575	136	19	-	-	PUNCT
fumecheng-10575	136	20	state	state	NOUN
fumecheng-10575	136	21	and	and	CCONJ
fumecheng-10575	136	22	transient	transient	ADJ
fumecheng-10575	136	23	features	feature	NOUN
fumecheng-10575	136	24	for	for	ADP
fumecheng-10575	136	25	estimating	estimate	VERB
fumecheng-10575	136	26	the	the	DET
fumecheng-10575	136	27	gas	gas	NOUN
fumecheng-10575	136	28	concentrations	concentration	NOUN
fumecheng-10575	136	29	.	.	PUNCT
fumecheng-10575	137	1	table	table	NOUN
fumecheng-10575	137	2	3	3	NUM
fumecheng-10575	137	3	summary	summary	NOUN
fumecheng-10575	137	4	of	of	ADP
fumecheng-10575	137	5	best	good	ADJ
fumecheng-10575	137	6	performing	performing	NOUN
fumecheng-10575	137	7	models	model	NOUN
fumecheng-10575	137	8	and	and	CCONJ
fumecheng-10575	137	9	associated	associate	VERB
fumecheng-10575	137	10	mapes	mapes	PROPN
fumecheng-10575	137	11	present	present	ADJ
fumecheng-10575	137	12	work	work	NOUN
fumecheng-10575	137	13	gas	gas	NOUN
fumecheng-10575	137	14	1	1	NUM
fumecheng-10575	137	15	–	–	PUNCT
fumecheng-10575	137	16	ethanol	ethanol	NOUN
fumecheng-10575	137	17	,	,	PUNCT
fumecheng-10575	137	18	gas	gas	NOUN
fumecheng-10575	137	19	2	2	NUM
fumecheng-10575	137	20	–	–	PUNCT
fumecheng-10575	137	21	ethylene	ethylene	NOUN
fumecheng-10575	137	22	,	,	PUNCT
fumecheng-10575	137	23	gas	gas	NOUN
fumecheng-10575	137	24	3	3	NUM
fumecheng-10575	137	25	–	–	PUNCT
fumecheng-10575	137	26	ammonia	ammonia	NOUN
fumecheng-10575	137	27	,	,	PUNCT
fumecheng-10575	137	28	gas	gas	NOUN
fumecheng-10575	137	29	4	4	NUM
fumecheng-10575	137	30	–	–	PUNCT
fumecheng-10575	137	31	acetone	acetone	NOUN
fumecheng-10575	137	32	,	,	PUNCT
fumecheng-10575	137	33	gas	gas	NOUN
fumecheng-10575	137	34	5	5	NUM
fumecheng-10575	137	35	–	–	PUNCT
fumecheng-10575	137	36	acetaldehyde	acetaldehyde	NOUN
fumecheng-10575	137	37	,	,	PUNCT
fumecheng-10575	137	38	gas	gas	NOUN
fumecheng-10575	137	39	6	6	NUM
fumecheng-10575	137	40	–	–	PUNCT
fumecheng-10575	137	41	toluene	toluene	NOUN
fumecheng-10575	137	42	gas	gas	NOUN
fumecheng-10575	137	43	test	test	NOUN
fumecheng-10575	137	44	batch	batch	NOUN
fumecheng-10575	137	45	machine	machine	NOUN
fumecheng-10575	137	46	learning	learning	NOUN
fumecheng-10575	137	47	model	model	NOUN
fumecheng-10575	137	48	technique	technique	NOUN
fumecheng-10575	137	49	mape	mape	NOUN
fumecheng-10575	137	50	(	(	PUNCT
fumecheng-10575	137	51	%	%	NOUN
fumecheng-10575	137	52	)	)	PUNCT
fumecheng-10575	137	53	1	1	NUM
fumecheng-10575	137	54	batch	batch	NOUN
fumecheng-10575	137	55	2	2	NUM
fumecheng-10575	137	56	rf(r	rf(r	NOUN
fumecheng-10575	137	57	)	)	PUNCT
fumecheng-10575	137	58	sfs	sfs	NOUN
fumecheng-10575	137	59	29.75	29.75	NUM
fumecheng-10575	137	60	batches	batch	NOUN
fumecheng-10575	137	61	2	2	NUM
fumecheng-10575	137	62	-	-	SYM
fumecheng-10575	137	63	5	5	NUM
fumecheng-10575	137	64	dt	dt	NOUN
fumecheng-10575	137	65	pca	pca	PROPN
fumecheng-10575	137	66	36.59	36.59	NUM
fumecheng-10575	137	67	2	2	NUM
fumecheng-10575	137	68	batch	batch	NOUN
fumecheng-10575	137	69	2	2	NUM
fumecheng-10575	137	70	vote	vote	NOUN
fumecheng-10575	137	71	(	(	PUNCT
fumecheng-10575	137	72	knn	knn	PROPN
fumecheng-10575	137	73	,	,	PUNCT
fumecheng-10575	137	74	rf	rf	PROPN
fumecheng-10575	137	75	,	,	PUNCT
fumecheng-10575	137	76	dt	dt	NOUN
fumecheng-10575	137	77	)	)	PUNCT
fumecheng-10575	137	78	sbe	sbe	VERB
fumecheng-10575	137	79	15.31	15.31	NUM
fumecheng-10575	137	80	batches	batch	NOUN
fumecheng-10575	137	81	2	2	NUM
fumecheng-10575	137	82	-	-	SYM
fumecheng-10575	137	83	5	5	NUM
fumecheng-10575	137	84	rf(r	rf(r	NOUN
fumecheng-10575	137	85	)	)	PUNCT
fumecheng-10575	137	86	sfs	sfs	NOUN
fumecheng-10575	137	87	47.69	47.69	NUM
fumecheng-10575	137	88	3	3	NUM
fumecheng-10575	137	89	batch	batch	NOUN
fumecheng-10575	137	90	2	2	NUM
fumecheng-10575	137	91	knn	knn	NOUN
fumecheng-10575	137	92	sbe	sbe	VERB
fumecheng-10575	137	93	8.19	8.19	NUM
fumecheng-10575	137	94	batches	batch	NOUN
fumecheng-10575	137	95	2	2	NUM
fumecheng-10575	137	96	-	-	SYM
fumecheng-10575	137	97	5	5	NUM
fumecheng-10575	137	98	bagging	bagging	NOUN
fumecheng-10575	137	99	(	(	PUNCT
fumecheng-10575	137	100	rf	rf	NOUN
fumecheng-10575	137	101	)	)	PUNCT
fumecheng-10575	137	102	sfs	sfs	NOUN
fumecheng-10575	137	103	11.38	11.38	NUM
fumecheng-10575	138	1	4	4	NUM
fumecheng-10575	138	2	batch	batch	NOUN
fumecheng-10575	138	3	2	2	NUM
fumecheng-10575	138	4	vote	vote	NOUN
fumecheng-10575	138	5	(	(	PUNCT
fumecheng-10575	138	6	gbt	gbt	NOUN
fumecheng-10575	138	7	,	,	PUNCT
fumecheng-10575	138	8	rf	rf	NOUN
fumecheng-10575	138	9	)	)	PUNCT
fumecheng-10575	138	10	pca	pca	NOUN
fumecheng-10575	138	11	13.45	13.45	NUM
fumecheng-10575	138	12	batches	batch	NOUN
fumecheng-10575	138	13	2	2	NUM
fumecheng-10575	138	14	-	-	SYM
fumecheng-10575	138	15	5	5	NUM
fumecheng-10575	138	16	bagging	bagging	NOUN
fumecheng-10575	138	17	(	(	PUNCT
fumecheng-10575	138	18	rf	rf	NOUN
fumecheng-10575	138	19	)	)	PUNCT
fumecheng-10575	138	20	sbe	sbe	VERB
fumecheng-10575	138	21	29.59	29.59	NUM
fumecheng-10575	138	22	5	5	NUM
fumecheng-10575	138	23	batch	batch	NOUN
fumecheng-10575	138	24	2	2	NUM
fumecheng-10575	138	25	rf(r	rf(r	NOUN
fumecheng-10575	138	26	)	)	PUNCT
fumecheng-10575	138	27	sbe	sbe	VERB
fumecheng-10575	138	28	12.94	12.94	NUM
fumecheng-10575	138	29	batches	batch	NOUN
fumecheng-10575	138	30	2	2	NUM
fumecheng-10575	138	31	-	-	SYM
fumecheng-10575	138	32	5	5	NUM
fumecheng-10575	138	33	knn	knn	NOUN
fumecheng-10575	138	34	pca	pca	PROPN
fumecheng-10575	138	35	10.39	10.39	NUM
fumecheng-10575	138	36	6	6	NUM
fumecheng-10575	138	37	batch	batch	NOUN
fumecheng-10575	138	38	2	2	NUM
fumecheng-10575	138	39	vote	vote	NOUN
fumecheng-10575	138	40	(	(	PUNCT
fumecheng-10575	138	41	knn	knn	PROPN
fumecheng-10575	138	42	,	,	PUNCT
fumecheng-10575	138	43	rf	rf	PROPN
fumecheng-10575	138	44	,	,	PUNCT
fumecheng-10575	138	45	dt	dt	NOUN
fumecheng-10575	138	46	)	)	PUNCT
fumecheng-10575	138	47	pca	pca	NOUN
fumecheng-10575	138	48	39.9	39.9	NUM
fumecheng-10575	138	49	batches	batch	NOUN
fumecheng-10575	138	50	2	2	NUM
fumecheng-10575	138	51	-	-	SYM
fumecheng-10575	138	52	6	6	NUM
fumecheng-10575	138	53	bagging	bagging	NOUN
fumecheng-10575	138	54	(	(	PUNCT
fumecheng-10575	138	55	rf	rf	NOUN
fumecheng-10575	138	56	)	)	PUNCT
fumecheng-10575	138	57	sfs	sfs	NOUN
fumecheng-10575	138	58	38.48	38.48	NUM
fumecheng-10575	138	59	assessment	assessment	NOUN
fumecheng-10575	138	60	and	and	CCONJ
fumecheng-10575	138	61	performance	performance	NOUN
fumecheng-10575	138	62	analysis	analysis	NOUN
fumecheng-10575	138	63	of	of	ADP
fumecheng-10575	138	64	machine	machine	NOUN
fumecheng-10575	138	65	learning	learn	VERB
fumecheng-10575	138	66	techniques	technique	NOUN
fumecheng-10575	138	67	for	for	ADP
fumecheng-10575	138	68	gas	gas	NOUN
fumecheng-10575	138	69	sensing	sense	VERB
fumecheng-10575	138	70	e	e	NOUN
fumecheng-10575	138	71	-	-	NOUN
fumecheng-10575	138	72	nose	nose	NOUN
fumecheng-10575	138	73	...	...	PUNCT
fumecheng-10575	138	74	487	487	NUM
fumecheng-10575	138	75	3.1.3	3.1.3	NUM
fumecheng-10575	138	76	.	.	PUNCT
fumecheng-10575	138	77	part	part	NOUN
fumecheng-10575	138	78	2	2	NUM
fumecheng-10575	138	79	:	:	PUNCT
fumecheng-10575	138	80	machine	machine	NOUN
fumecheng-10575	138	81	learning	learning	NOUN
fumecheng-10575	138	82	–	–	PUNCT
fumecheng-10575	138	83	regression	regression	NOUN
fumecheng-10575	138	84	so	so	ADV
fumecheng-10575	138	85	far	far	ADV
fumecheng-10575	138	86	,	,	PUNCT
fumecheng-10575	138	87	we	we	PRON
fumecheng-10575	138	88	focused	focus	VERB
fumecheng-10575	138	89	on	on	ADP
fumecheng-10575	138	90	estimating	estimate	VERB
fumecheng-10575	138	91	concentrations	concentration	NOUN
fumecheng-10575	138	92	of	of	ADP
fumecheng-10575	138	93	the	the	DET
fumecheng-10575	138	94	six	six	NUM
fumecheng-10575	138	95	gases	gas	NOUN
fumecheng-10575	138	96	for	for	ADP
fumecheng-10575	138	97	batch	batch	NOUN
fumecheng-10575	138	98	2	2	NUM
fumecheng-10575	138	99	,	,	PUNCT
fumecheng-10575	138	100	batches	batch	VERB
fumecheng-10575	138	101	25	25	NUM
fumecheng-10575	138	102	(	(	PUNCT
fumecheng-10575	138	103	ethanol	ethanol	NOUN
fumecheng-10575	138	104	,	,	PUNCT
fumecheng-10575	138	105	ethylene	ethylene	NOUN
fumecheng-10575	138	106	,	,	PUNCT
fumecheng-10575	138	107	ammonia	ammonia	NOUN
fumecheng-10575	138	108	,	,	PUNCT
fumecheng-10575	138	109	acetone	acetone	NOUN
fumecheng-10575	138	110	,	,	PUNCT
fumecheng-10575	138	111	acetaldehyde	acetaldehyde	NOUN
fumecheng-10575	138	112	)	)	PUNCT
fumecheng-10575	138	113	and	and	CCONJ
fumecheng-10575	138	114	batches	batch	VERB
fumecheng-10575	138	115	2	2	NUM
fumecheng-10575	138	116	-	-	SYM
fumecheng-10575	138	117	6	6	NUM
fumecheng-10575	138	118	(	(	PUNCT
fumecheng-10575	138	119	toluene	toluene	NOUN
fumecheng-10575	138	120	)	)	PUNCT
fumecheng-10575	138	121	.	.	PUNCT
fumecheng-10575	139	1	for	for	ADP
fumecheng-10575	139	2	the	the	DET
fumecheng-10575	139	3	other	other	ADJ
fumecheng-10575	139	4	batches	batch	NOUN
fumecheng-10575	139	5	of	of	ADP
fumecheng-10575	139	6	data	datum	NOUN
fumecheng-10575	139	7	,	,	PUNCT
fumecheng-10575	139	8	a	a	DET
fumecheng-10575	139	9	different	different	ADJ
fumecheng-10575	139	10	approach	approach	NOUN
fumecheng-10575	139	11	was	be	AUX
fumecheng-10575	139	12	followed	follow	VERB
fumecheng-10575	139	13	,	,	PUNCT
fumecheng-10575	139	14	where	where	SCONJ
fumecheng-10575	139	15	,	,	PUNCT
fumecheng-10575	139	16	the	the	DET
fumecheng-10575	139	17	machine	machine	NOUN
fumecheng-10575	139	18	learning	learn	VERB
fumecheng-10575	139	19	algorithms	algorithm	NOUN
fumecheng-10575	139	20	were	be	AUX
fumecheng-10575	139	21	trained	train	VERB
fumecheng-10575	139	22	on	on	ADP
fumecheng-10575	139	23	batches	batch	NOUN
fumecheng-10575	139	24	1	1	NUM
fumecheng-10575	139	25	to	to	ADP
fumecheng-10575	139	26	(	(	PUNCT
fumecheng-10575	139	27	m-1	m-1	NUM
fumecheng-10575	139	28	)	)	PUNCT
fumecheng-10575	139	29	and	and	CCONJ
fumecheng-10575	139	30	tested	test	VERB
fumecheng-10575	139	31	on	on	ADP
fumecheng-10575	139	32	the	the	DET
fumecheng-10575	139	33	mth	mth	NOUN
fumecheng-10575	139	34	batch	batch	NOUN
fumecheng-10575	139	35	.	.	PUNCT
fumecheng-10575	140	1	to	to	PART
fumecheng-10575	140	2	clarify	clarify	VERB
fumecheng-10575	140	3	further	far	ADV
fumecheng-10575	140	4	,	,	PUNCT
fumecheng-10575	140	5	for	for	ADP
fumecheng-10575	140	6	ethanol	ethanol	NOUN
fumecheng-10575	140	7	,	,	PUNCT
fumecheng-10575	140	8	ethylene	ethylene	NOUN
fumecheng-10575	140	9	,	,	PUNCT
fumecheng-10575	140	10	ammonia	ammonia	NOUN
fumecheng-10575	140	11	,	,	PUNCT
fumecheng-10575	140	12	acetone	acetone	NOUN
fumecheng-10575	140	13	and	and	CCONJ
fumecheng-10575	140	14	acetaldehyde	acetaldehyde	NOUN
fumecheng-10575	140	15	,	,	PUNCT
fumecheng-10575	140	16	m	m	PROPN
fumecheng-10575	140	17	∈	∈	NOUN
fumecheng-10575	140	18	{	{	PUNCT
fumecheng-10575	140	19	6,7,8,9,10	6,7,8,9,10	PROPN
fumecheng-10575	140	20	}	}	PUNCT
fumecheng-10575	140	21	;	;	PUNCT
fumecheng-10575	141	1	whereas	whereas	SCONJ
fumecheng-10575	141	2	,	,	PUNCT
fumecheng-10575	141	3	for	for	ADP
fumecheng-10575	141	4	toluene	toluene	NOUN
fumecheng-10575	141	5	m	m	PROPN
fumecheng-10575	141	6	∈	∈	PROPN
fumecheng-10575	141	7	{	{	PUNCT
fumecheng-10575	141	8	7,8,9,10	7,8,9,10	NUM
fumecheng-10575	141	9	}	}	PUNCT
fumecheng-10575	141	10	.	.	PUNCT
fumecheng-10575	142	1	since	since	SCONJ
fumecheng-10575	142	2	batch	batch	NOUN
fumecheng-10575	142	3	6	6	NUM
fumecheng-10575	142	4	was	be	AUX
fumecheng-10575	142	5	already	already	ADV
fumecheng-10575	142	6	tested	test	VERB
fumecheng-10575	142	7	for	for	ADP
fumecheng-10575	142	8	toluene	toluene	NOUN
fumecheng-10575	142	9	in	in	ADP
fumecheng-10575	142	10	the	the	DET
fumecheng-10575	142	11	previous	previous	ADJ
fumecheng-10575	142	12	analysis	analysis	NOUN
fumecheng-10575	142	13	,	,	PUNCT
fumecheng-10575	142	14	batch	batch	NOUN
fumecheng-10575	142	15	6	6	NUM
fumecheng-10575	142	16	for	for	ADP
fumecheng-10575	142	17	toluene	toluene	NOUN
fumecheng-10575	142	18	was	be	AUX
fumecheng-10575	142	19	not	not	PART
fumecheng-10575	142	20	included	include	VERB
fumecheng-10575	142	21	in	in	ADP
fumecheng-10575	142	22	this	this	DET
fumecheng-10575	142	23	section	section	NOUN
fumecheng-10575	142	24	.	.	PUNCT
fumecheng-10575	143	1	one	one	NUM
fumecheng-10575	143	2	of	of	ADP
fumecheng-10575	143	3	the	the	DET
fumecheng-10575	143	4	main	main	ADJ
fumecheng-10575	143	5	reasons	reason	NOUN
fumecheng-10575	143	6	for	for	ADP
fumecheng-10575	143	7	following	follow	VERB
fumecheng-10575	143	8	this	this	DET
fumecheng-10575	143	9	approach	approach	NOUN
fumecheng-10575	143	10	for	for	ADP
fumecheng-10575	143	11	batches	batch	NOUN
fumecheng-10575	143	12	6	6	NUM
fumecheng-10575	143	13	-	-	SYM
fumecheng-10575	143	14	10	10	NUM
fumecheng-10575	143	15	was	be	AUX
fumecheng-10575	143	16	sensor	sensor	NOUN
fumecheng-10575	143	17	drift	drift	NOUN
fumecheng-10575	143	18	.	.	PUNCT
fumecheng-10575	144	1	the	the	DET
fumecheng-10575	144	2	sensor	sensor	NOUN
fumecheng-10575	144	3	data	datum	NOUN
fumecheng-10575	144	4	was	be	AUX
fumecheng-10575	144	5	collected	collect	VERB
fumecheng-10575	144	6	over	over	ADP
fumecheng-10575	144	7	the	the	DET
fumecheng-10575	144	8	course	course	NOUN
fumecheng-10575	144	9	of	of	ADP
fumecheng-10575	144	10	36	36	NUM
fumecheng-10575	144	11	months	month	NOUN
fumecheng-10575	144	12	,	,	PUNCT
fumecheng-10575	144	13	with	with	ADP
fumecheng-10575	144	14	batch	batch	NOUN
fumecheng-10575	144	15	6	6	NUM
fumecheng-10575	144	16	measurements	measurement	NOUN
fumecheng-10575	144	17	beginning	begin	VERB
fumecheng-10575	144	18	in	in	ADP
fumecheng-10575	144	19	month	month	NOUN
fumecheng-10575	144	20	17	17	NUM
fumecheng-10575	144	21	.	.	PUNCT
fumecheng-10575	145	1	training	training	NOUN
fumecheng-10575	145	2	on	on	ADP
fumecheng-10575	145	3	batch	batch	NOUN
fumecheng-10575	145	4	1	1	NUM
fumecheng-10575	145	5	where	where	SCONJ
fumecheng-10575	145	6	measurements	measurement	NOUN
fumecheng-10575	145	7	were	be	AUX
fumecheng-10575	145	8	taken	take	VERB
fumecheng-10575	145	9	in	in	ADP
fumecheng-10575	145	10	months	month	NOUN
fumecheng-10575	145	11	1	1	NUM
fumecheng-10575	145	12	and	and	CCONJ
fumecheng-10575	145	13	2	2	NUM
fumecheng-10575	145	14	,	,	PUNCT
fumecheng-10575	145	15	and	and	CCONJ
fumecheng-10575	145	16	testing	test	VERB
fumecheng-10575	145	17	on	on	ADP
fumecheng-10575	145	18	batches	batch	NOUN
fumecheng-10575	145	19	with	with	ADP
fumecheng-10575	145	20	measurements	measurement	NOUN
fumecheng-10575	145	21	taken	take	VERB
fumecheng-10575	145	22	much	much	ADV
fumecheng-10575	145	23	later	later	ADV
fumecheng-10575	145	24	in	in	ADP
fumecheng-10575	145	25	time	time	NOUN
fumecheng-10575	145	26	could	could	AUX
fumecheng-10575	145	27	result	result	VERB
fumecheng-10575	145	28	in	in	ADP
fumecheng-10575	145	29	inaccurate	inaccurate	ADJ
fumecheng-10575	145	30	prediction	prediction	NOUN
fumecheng-10575	145	31	results	result	NOUN
fumecheng-10575	145	32	due	due	ADP
fumecheng-10575	145	33	to	to	ADP
fumecheng-10575	145	34	changes	change	NOUN
fumecheng-10575	145	35	in	in	ADP
fumecheng-10575	145	36	the	the	DET
fumecheng-10575	145	37	sensor	sensor	NOUN
fumecheng-10575	145	38	response	response	NOUN
fumecheng-10575	145	39	over	over	ADP
fumecheng-10575	145	40	time	time	NOUN
fumecheng-10575	145	41	.	.	PUNCT
fumecheng-10575	146	1	as	as	ADP
fumecheng-10575	146	2	a	a	DET
fumecheng-10575	146	3	consequence	consequence	NOUN
fumecheng-10575	146	4	,	,	PUNCT
fumecheng-10575	146	5	all	all	DET
fumecheng-10575	146	6	the	the	DET
fumecheng-10575	146	7	previous	previous	ADJ
fumecheng-10575	146	8	batches	batch	NOUN
fumecheng-10575	146	9	prior	prior	ADV
fumecheng-10575	146	10	to	to	ADP
fumecheng-10575	146	11	the	the	DET
fumecheng-10575	146	12	testing	testing	NOUN
fumecheng-10575	146	13	batch	batch	NOUN
fumecheng-10575	146	14	were	be	AUX
fumecheng-10575	146	15	included	include	VERB
fumecheng-10575	146	16	in	in	ADP
fumecheng-10575	146	17	the	the	DET
fumecheng-10575	146	18	model	model	NOUN
fumecheng-10575	146	19	training	training	NOUN
fumecheng-10575	146	20	to	to	PART
fumecheng-10575	146	21	estimate	estimate	VERB
fumecheng-10575	146	22	the	the	DET
fumecheng-10575	146	23	gas	gas	NOUN
fumecheng-10575	146	24	concentrations	concentration	NOUN
fumecheng-10575	146	25	.	.	PUNCT
fumecheng-10575	147	1	results	result	NOUN
fumecheng-10575	147	2	of	of	ADP
fumecheng-10575	147	3	the	the	DET
fumecheng-10575	147	4	best	good	ADJ
fumecheng-10575	147	5	performing	performing	NOUN
fumecheng-10575	147	6	regression	regression	NOUN
fumecheng-10575	147	7	models	model	NOUN
fumecheng-10575	147	8	in	in	ADP
fumecheng-10575	147	9	the	the	DET
fumecheng-10575	147	10	present	present	ADJ
fumecheng-10575	147	11	work	work	NOUN
fumecheng-10575	147	12	are	be	AUX
fumecheng-10575	147	13	shown	show	VERB
fumecheng-10575	147	14	in	in	ADP
fumecheng-10575	147	15	table	table	NOUN
fumecheng-10575	147	16	4	4	NUM
fumecheng-10575	147	17	.	.	PUNCT
fumecheng-10575	147	18	akin	akin	ADJ
fumecheng-10575	147	19	to	to	ADP
fumecheng-10575	147	20	the	the	DET
fumecheng-10575	147	21	previous	previous	ADJ
fumecheng-10575	147	22	analysis	analysis	NOUN
fumecheng-10575	147	23	,	,	PUNCT
fumecheng-10575	147	24	the	the	DET
fumecheng-10575	147	25	knn	knn	PROPN
fumecheng-10575	147	26	table	table	NOUN
fumecheng-10575	147	27	4	4	NUM
fumecheng-10575	147	28	mapes	mape	NOUN
fumecheng-10575	147	29	for	for	ADP
fumecheng-10575	147	30	gases	gas	NOUN
fumecheng-10575	147	31	on	on	ADP
fumecheng-10575	147	32	testing	testing	NOUN
fumecheng-10575	147	33	batches	batch	VERB
fumecheng-10575	147	34	6	6	NUM
fumecheng-10575	147	35	-	-	SYM
fumecheng-10575	147	36	10	10	NUM
fumecheng-10575	147	37	present	present	ADJ
fumecheng-10575	147	38	work	work	NOUN
fumecheng-10575	147	39	gas	gas	NOUN
fumecheng-10575	147	40	training	training	NOUN
fumecheng-10575	147	41	batches	batch	NOUN
fumecheng-10575	147	42	test	test	NOUN
fumecheng-10575	147	43	batch	batch	NOUN
fumecheng-10575	147	44	machine	machine	NOUN
fumecheng-10575	147	45	learning	learn	VERB
fumecheng-10575	147	46	model	model	NOUN
fumecheng-10575	147	47	mape	mape	NOUN
fumecheng-10575	147	48	(	(	PUNCT
fumecheng-10575	147	49	%	%	NOUN
fumecheng-10575	147	50	)	)	PUNCT
fumecheng-10575	147	51	1	1	NUM
fumecheng-10575	147	52	batches	batch	VERB
fumecheng-10575	147	53	1	1	NUM
fumecheng-10575	147	54	-	-	SYM
fumecheng-10575	147	55	5	5	NUM
fumecheng-10575	147	56	batch	batch	NOUN
fumecheng-10575	147	57	6	6	NUM
fumecheng-10575	147	58	knn	knn	NOUN
fumecheng-10575	147	59	22.17	22.17	NUM
fumecheng-10575	147	60	batches	batch	NOUN
fumecheng-10575	147	61	1	1	NUM
fumecheng-10575	147	62	-	-	SYM
fumecheng-10575	147	63	6	6	NUM
fumecheng-10575	147	64	batch	batch	NOUN
fumecheng-10575	147	65	7	7	NUM
fumecheng-10575	147	66	rf	rf	NUM
fumecheng-10575	147	67	22.22	22.22	NUM
fumecheng-10575	147	68	batches	batch	NOUN
fumecheng-10575	147	69	1	1	NUM
fumecheng-10575	147	70	-	-	SYM
fumecheng-10575	147	71	7	7	NUM
fumecheng-10575	147	72	batch	batch	NOUN
fumecheng-10575	147	73	8	8	NUM
fumecheng-10575	147	74	rf	rf	NUM
fumecheng-10575	147	75	23.73	23.73	NUM
fumecheng-10575	147	76	batches	batch	NOUN
fumecheng-10575	147	77	1	1	NUM
fumecheng-10575	147	78	-	-	SYM
fumecheng-10575	147	79	8	8	NUM
fumecheng-10575	147	80	batch	batch	NOUN
fumecheng-10575	147	81	9	9	NUM
fumecheng-10575	147	82	dt	dt	PART
fumecheng-10575	147	83	38.14	38.14	NUM
fumecheng-10575	147	84	batches	batch	NOUN
fumecheng-10575	147	85	1	1	NUM
fumecheng-10575	147	86	-	-	SYM
fumecheng-10575	147	87	9	9	NUM
fumecheng-10575	147	88	batch	batch	NOUN
fumecheng-10575	147	89	10	10	NUM
fumecheng-10575	147	90	dt	dt	NOUN
fumecheng-10575	147	91	54.02	54.02	NUM
fumecheng-10575	147	92	2	2	NUM
fumecheng-10575	147	93	batches	batch	NOUN
fumecheng-10575	147	94	1	1	NUM
fumecheng-10575	147	95	-	-	SYM
fumecheng-10575	147	96	5	5	NUM
fumecheng-10575	147	97	batch	batch	NOUN
fumecheng-10575	147	98	6	6	NUM
fumecheng-10575	147	99	dt	dt	NOUN
fumecheng-10575	147	100	20.1	20.1	NUM
fumecheng-10575	147	101	batches	batch	NOUN
fumecheng-10575	147	102	1	1	NUM
fumecheng-10575	147	103	-	-	SYM
fumecheng-10575	147	104	6	6	NUM
fumecheng-10575	147	105	batch	batch	NOUN
fumecheng-10575	147	106	7	7	NUM
fumecheng-10575	147	107	rf	rf	NUM
fumecheng-10575	147	108	54.01	54.01	NUM
fumecheng-10575	147	109	batches	batch	NOUN
fumecheng-10575	147	110	1	1	NUM
fumecheng-10575	147	111	-	-	SYM
fumecheng-10575	147	112	7	7	NUM
fumecheng-10575	147	113	batch	batch	NOUN
fumecheng-10575	147	114	8	8	NUM
fumecheng-10575	147	115	rf	rf	NUM
fumecheng-10575	147	116	29.57	29.57	NUM
fumecheng-10575	147	117	batches	batch	VERB
fumecheng-10575	147	118	1	1	NUM
fumecheng-10575	147	119	-	-	SYM
fumecheng-10575	147	120	8	8	NUM
fumecheng-10575	147	121	batch	batch	NOUN
fumecheng-10575	147	122	9	9	NUM
fumecheng-10575	147	123	rf	rf	NUM
fumecheng-10575	147	124	29.46	29.46	NUM
fumecheng-10575	147	125	batches	batch	NOUN
fumecheng-10575	147	126	1	1	NUM
fumecheng-10575	147	127	-	-	SYM
fumecheng-10575	147	128	9	9	NUM
fumecheng-10575	147	129	batch	batch	NOUN
fumecheng-10575	147	130	10	10	NUM
fumecheng-10575	147	131	rf	rf	NUM
fumecheng-10575	147	132	85.45	85.45	NUM
fumecheng-10575	147	133	3	3	NUM
fumecheng-10575	147	134	batches	batch	NOUN
fumecheng-10575	147	135	1	1	NUM
fumecheng-10575	147	136	-	-	SYM
fumecheng-10575	147	137	5	5	NUM
fumecheng-10575	147	138	batch	batch	NOUN
fumecheng-10575	147	139	6	6	NUM
fumecheng-10575	147	140	dt	dt	PART
fumecheng-10575	147	141	14.58	14.58	NUM
fumecheng-10575	147	142	batches	batch	NOUN
fumecheng-10575	147	143	1	1	NUM
fumecheng-10575	147	144	-	-	SYM
fumecheng-10575	147	145	6	6	NUM
fumecheng-10575	147	146	batch	batch	NOUN
fumecheng-10575	147	147	7	7	NUM
fumecheng-10575	147	148	knn	knn	NOUN
fumecheng-10575	147	149	5.98	5.98	NUM
fumecheng-10575	147	150	batches	batch	NOUN
fumecheng-10575	147	151	1	1	NUM
fumecheng-10575	147	152	-	-	SYM
fumecheng-10575	147	153	7	7	NUM
fumecheng-10575	147	154	batch	batch	NOUN
fumecheng-10575	147	155	8	8	NUM
fumecheng-10575	147	156	knn	knn	NOUN
fumecheng-10575	147	157	58.9	58.9	NUM
fumecheng-10575	147	158	batches	batch	NOUN
fumecheng-10575	147	159	1	1	NUM
fumecheng-10575	147	160	-	-	SYM
fumecheng-10575	147	161	8	8	NUM
fumecheng-10575	147	162	batch	batch	NOUN
fumecheng-10575	147	163	9	9	NUM
fumecheng-10575	147	164	bagging	bagging	NOUN
fumecheng-10575	147	165	(	(	PUNCT
fumecheng-10575	147	166	rf	rf	NOUN
fumecheng-10575	147	167	)	)	PUNCT
fumecheng-10575	147	168	8.89	8.89	NUM
fumecheng-10575	147	169	batches	batch	NOUN
fumecheng-10575	147	170	1	1	NUM
fumecheng-10575	147	171	-	-	SYM
fumecheng-10575	147	172	9	9	NUM
fumecheng-10575	147	173	batch	batch	NOUN
fumecheng-10575	147	174	10	10	NUM
fumecheng-10575	147	175	bagging	bagging	NOUN
fumecheng-10575	147	176	(	(	PUNCT
fumecheng-10575	147	177	rf	rf	NOUN
fumecheng-10575	147	178	)	)	PUNCT
fumecheng-10575	147	179	52.21	52.21	NUM
fumecheng-10575	147	180	4	4	NUM
fumecheng-10575	147	181	batches	batch	NOUN
fumecheng-10575	147	182	1	1	NUM
fumecheng-10575	147	183	-	-	SYM
fumecheng-10575	147	184	5	5	NUM
fumecheng-10575	147	185	batch	batch	NOUN
fumecheng-10575	147	186	6	6	NUM
fumecheng-10575	147	187	rf	rf	NUM
fumecheng-10575	147	188	4.01	4.01	NUM
fumecheng-10575	147	189	batches	batch	NOUN
fumecheng-10575	147	190	1	1	NUM
fumecheng-10575	147	191	-	-	SYM
fumecheng-10575	147	192	6	6	NUM
fumecheng-10575	147	193	batch	batch	NOUN
fumecheng-10575	147	194	7	7	NUM
fumecheng-10575	147	195	rf	rf	NUM
fumecheng-10575	147	196	37.26	37.26	NUM
fumecheng-10575	147	197	batches	batch	NOUN
fumecheng-10575	147	198	1	1	NUM
fumecheng-10575	147	199	-	-	SYM
fumecheng-10575	147	200	7	7	NUM
fumecheng-10575	147	201	batch	batch	NOUN
fumecheng-10575	147	202	8	8	NUM
fumecheng-10575	147	203	rf	rf	NUM
fumecheng-10575	147	204	7.59	7.59	NUM
fumecheng-10575	147	205	batches	batch	NOUN
fumecheng-10575	147	206	1	1	NUM
fumecheng-10575	147	207	-	-	SYM
fumecheng-10575	147	208	8	8	NUM
fumecheng-10575	147	209	batch	batch	NOUN
fumecheng-10575	147	210	9	9	NUM
fumecheng-10575	147	211	bagging	bagging	NOUN
fumecheng-10575	147	212	(	(	PUNCT
fumecheng-10575	147	213	rf	rf	NOUN
fumecheng-10575	147	214	)	)	PUNCT
fumecheng-10575	147	215	17.96	17.96	NUM
fumecheng-10575	147	216	batches	batch	NOUN
fumecheng-10575	147	217	1	1	NUM
fumecheng-10575	147	218	-	-	SYM
fumecheng-10575	147	219	9	9	NUM
fumecheng-10575	147	220	batch	batch	NOUN
fumecheng-10575	147	221	10	10	NUM
fumecheng-10575	147	222	dt	dt	NOUN
fumecheng-10575	147	223	44.87	44.87	NUM
fumecheng-10575	147	224	5	5	NUM
fumecheng-10575	147	225	batches	batch	NOUN
fumecheng-10575	147	226	1	1	NUM
fumecheng-10575	147	227	-	-	SYM
fumecheng-10575	147	228	5	5	NUM
fumecheng-10575	147	229	batch	batch	NOUN
fumecheng-10575	147	230	6	6	NUM
fumecheng-10575	147	231	dt	dt	PART
fumecheng-10575	147	232	19.87	19.87	NUM
fumecheng-10575	147	233	batches	batch	NOUN
fumecheng-10575	147	234	1	1	NUM
fumecheng-10575	147	235	-	-	SYM
fumecheng-10575	147	236	6	6	NUM
fumecheng-10575	147	237	batch	batch	NOUN
fumecheng-10575	147	238	7	7	NUM
fumecheng-10575	147	239	rf	rf	NUM
fumecheng-10575	147	240	18.55	18.55	NUM
fumecheng-10575	147	241	batches	batch	NOUN
fumecheng-10575	147	242	1	1	NUM
fumecheng-10575	147	243	-	-	SYM
fumecheng-10575	147	244	7	7	NUM
fumecheng-10575	147	245	batch	batch	NOUN
fumecheng-10575	147	246	8	8	NUM
fumecheng-10575	147	247	dt	dt	SYM
fumecheng-10575	147	248	30.82	30.82	NUM
fumecheng-10575	147	249	batches	batch	VERB
fumecheng-10575	147	250	1	1	NUM
fumecheng-10575	147	251	-	-	SYM
fumecheng-10575	147	252	8	8	NUM
fumecheng-10575	147	253	batch	batch	NOUN
fumecheng-10575	147	254	9	9	NUM
fumecheng-10575	147	255	rf	rf	NUM
fumecheng-10575	147	256	6.35	6.35	NUM
fumecheng-10575	147	257	batches	batch	NOUN
fumecheng-10575	147	258	1	1	NUM
fumecheng-10575	147	259	-	-	SYM
fumecheng-10575	147	260	9	9	NUM
fumecheng-10575	147	261	batch	batch	NOUN
fumecheng-10575	147	262	10	10	NUM
fumecheng-10575	147	263	dt	dt	NOUN
fumecheng-10575	147	264	59.61	59.61	NUM
fumecheng-10575	147	265	6	6	NUM
fumecheng-10575	147	266	batches	batch	NOUN
fumecheng-10575	147	267	1	1	NUM
fumecheng-10575	147	268	-	-	SYM
fumecheng-10575	147	269	6	6	NUM
fumecheng-10575	147	270	batch	batch	NOUN
fumecheng-10575	147	271	7	7	NUM
fumecheng-10575	147	272	bagging	bagging	NOUN
fumecheng-10575	147	273	(	(	PUNCT
fumecheng-10575	147	274	rf	rf	NOUN
fumecheng-10575	147	275	)	)	PUNCT
fumecheng-10575	147	276	46.72	46.72	NUM
fumecheng-10575	147	277	batches	batch	VERB
fumecheng-10575	147	278	1	1	NUM
fumecheng-10575	147	279	-	-	SYM
fumecheng-10575	147	280	7	7	NUM
fumecheng-10575	147	281	batch	batch	NOUN
fumecheng-10575	147	282	8	8	NUM
fumecheng-10575	147	283	bagging	bagging	NOUN
fumecheng-10575	147	284	(	(	PUNCT
fumecheng-10575	147	285	rf	rf	NOUN
fumecheng-10575	147	286	)	)	PUNCT
fumecheng-10575	147	287	45.62	45.62	NUM
fumecheng-10575	147	288	batches	batch	NOUN
fumecheng-10575	147	289	1	1	NUM
fumecheng-10575	147	290	-	-	SYM
fumecheng-10575	147	291	8	8	NUM
fumecheng-10575	147	292	batch	batch	NOUN
fumecheng-10575	147	293	9	9	NUM
fumecheng-10575	147	294	dt	dt	NOUN
fumecheng-10575	147	295	40.9	40.9	NUM
fumecheng-10575	147	296	batches	batch	NOUN
fumecheng-10575	147	297	1	1	NUM
fumecheng-10575	147	298	-	-	SYM
fumecheng-10575	147	299	9	9	NUM
fumecheng-10575	147	300	batch	batch	NOUN
fumecheng-10575	147	301	10	10	NUM
fumecheng-10575	147	302	bagging	bagging	NOUN
fumecheng-10575	147	303	(	(	PUNCT
fumecheng-10575	147	304	rf	rf	NOUN
fumecheng-10575	147	305	)	)	PUNCT
fumecheng-10575	147	306	24.6	24.6	NUM
fumecheng-10575	147	307	gas	gas	NOUN
fumecheng-10575	147	308	1	1	NUM
fumecheng-10575	147	309	–	–	PUNCT
fumecheng-10575	147	310	ethanol	ethanol	NOUN
fumecheng-10575	147	311	,	,	PUNCT
fumecheng-10575	147	312	gas	gas	NOUN
fumecheng-10575	147	313	2	2	NUM
fumecheng-10575	147	314	–	–	PUNCT
fumecheng-10575	147	315	ethylene	ethylene	NOUN
fumecheng-10575	147	316	,	,	PUNCT
fumecheng-10575	147	317	gas	gas	NOUN
fumecheng-10575	147	318	3	3	NUM
fumecheng-10575	147	319	–	–	PUNCT
fumecheng-10575	147	320	ammonia	ammonia	NOUN
fumecheng-10575	147	321	,	,	PUNCT
fumecheng-10575	147	322	gas	gas	NOUN
fumecheng-10575	147	323	4	4	NUM
fumecheng-10575	147	324	–	–	PUNCT
fumecheng-10575	147	325	acetone	acetone	NOUN
fumecheng-10575	147	326	,	,	PUNCT
fumecheng-10575	147	327	gas	gas	NOUN
fumecheng-10575	147	328	5	5	NUM
fumecheng-10575	147	329	–	–	PUNCT
fumecheng-10575	147	330	acetaldehyde	acetaldehyde	NOUN
fumecheng-10575	147	331	,	,	PUNCT
fumecheng-10575	147	332	gas	gas	NOUN
fumecheng-10575	147	333	6	6	NUM
fumecheng-10575	147	334	–	–	PUNCT
fumecheng-10575	147	335	toluene	toluene	NOUN
fumecheng-10575	147	336	488	488	NUM
fumecheng-10575	147	337	l.	l.	PROPN
fumecheng-10575	147	338	mahmood	mahmood	PROPN
fumecheng-10575	147	339	,	,	PUNCT
fumecheng-10575	147	340	z.	z.	PROPN
fumecheng-10575	147	341	bahroun	bahroun	PROPN
fumecheng-10575	147	342	,	,	PUNCT
fumecheng-10575	147	343	m.	m.	NOUN
fumecheng-10575	147	344	ghommem	ghommem	PROPN
fumecheng-10575	147	345	,	,	PUNCT
fumecheng-10575	147	346	h.	h.	PROPN
fumecheng-10575	147	347	alshraideh	alshraideh	PROPN
fumecheng-10575	147	348	model	model	NOUN
fumecheng-10575	147	349	was	be	AUX
fumecheng-10575	147	350	initially	initially	ADV
fumecheng-10575	147	351	used	use	VERB
fumecheng-10575	147	352	with	with	ADP
fumecheng-10575	147	353	k	k	PROPN
fumecheng-10575	147	354	as	as	ADP
fumecheng-10575	147	355	5	5	NUM
fumecheng-10575	147	356	using	use	VERB
fumecheng-10575	147	357	the	the	DET
fumecheng-10575	147	358	euclidean	euclidean	ADJ
fumecheng-10575	147	359	distance	distance	NOUN
fumecheng-10575	147	360	metric	metric	NOUN
fumecheng-10575	147	361	.	.	PUNCT
fumecheng-10575	148	1	the	the	DET
fumecheng-10575	148	2	mapes	mapes	PROPN
fumecheng-10575	148	3	are	be	AUX
fumecheng-10575	148	4	a	a	DET
fumecheng-10575	148	5	result	result	NOUN
fumecheng-10575	148	6	of	of	ADP
fumecheng-10575	148	7	this	this	DET
fumecheng-10575	148	8	selection	selection	NOUN
fumecheng-10575	148	9	whereas	whereas	SCONJ
fumecheng-10575	148	10	,	,	PUNCT
fumecheng-10575	148	11	in	in	ADP
fumecheng-10575	148	12	some	some	DET
fumecheng-10575	148	13	cases	case	NOUN
fumecheng-10575	148	14	,	,	PUNCT
fumecheng-10575	148	15	the	the	DET
fumecheng-10575	148	16	hyperparameters	hyperparameter	NOUN
fumecheng-10575	148	17	were	be	AUX
fumecheng-10575	148	18	tuned	tune	VERB
fumecheng-10575	148	19	accordingly	accordingly	ADV
fumecheng-10575	148	20	.	.	PUNCT
fumecheng-10575	149	1	as	as	SCONJ
fumecheng-10575	149	2	seen	see	VERB
fumecheng-10575	149	3	in	in	ADP
fumecheng-10575	149	4	table	table	NOUN
fumecheng-10575	149	5	4	4	NUM
fumecheng-10575	149	6	,	,	PUNCT
fumecheng-10575	149	7	some	some	DET
fumecheng-10575	149	8	models	model	NOUN
fumecheng-10575	149	9	rendered	render	VERB
fumecheng-10575	149	10	remarkably	remarkably	ADV
fumecheng-10575	149	11	low	low	ADJ
fumecheng-10575	149	12	mapes	mape	NOUN
fumecheng-10575	149	13	such	such	ADJ
fumecheng-10575	149	14	as	as	ADP
fumecheng-10575	149	15	knn	knn	PROPN
fumecheng-10575	149	16	(	(	PUNCT
fumecheng-10575	149	17	mape	mape	NOUN
fumecheng-10575	149	18	of	of	ADP
fumecheng-10575	149	19	22.17	22.17	NUM
fumecheng-10575	149	20	%	%	NOUN
fumecheng-10575	149	21	)	)	PUNCT
fumecheng-10575	149	22	for	for	ADP
fumecheng-10575	149	23	testing	testing	NOUN
fumecheng-10575	149	24	batch	batch	NOUN
fumecheng-10575	149	25	6	6	NUM
fumecheng-10575	149	26	of	of	ADP
fumecheng-10575	149	27	ethanol	ethanol	NOUN
fumecheng-10575	149	28	,	,	PUNCT
fumecheng-10575	149	29	dt	dt	X
fumecheng-10575	149	30	(	(	PUNCT
fumecheng-10575	149	31	mape	mape	NOUN
fumecheng-10575	149	32	of	of	ADP
fumecheng-10575	149	33	20.1	20.1	NUM
fumecheng-10575	149	34	%	%	NOUN
fumecheng-10575	149	35	)	)	PUNCT
fumecheng-10575	149	36	for	for	ADP
fumecheng-10575	149	37	testing	testing	NOUN
fumecheng-10575	149	38	batch	batch	NOUN
fumecheng-10575	149	39	6	6	NUM
fumecheng-10575	149	40	of	of	ADP
fumecheng-10575	149	41	ethylene	ethylene	NOUN
fumecheng-10575	149	42	,	,	PUNCT
fumecheng-10575	149	43	knn	knn	PROPN
fumecheng-10575	149	44	(	(	PUNCT
fumecheng-10575	149	45	mape	mape	NOUN
fumecheng-10575	149	46	of	of	ADP
fumecheng-10575	149	47	5.98	5.98	NUM
fumecheng-10575	149	48	%	%	NOUN
fumecheng-10575	149	49	)	)	PUNCT
fumecheng-10575	149	50	for	for	ADP
fumecheng-10575	149	51	testing	testing	NOUN
fumecheng-10575	149	52	batch	batch	NOUN
fumecheng-10575	149	53	7	7	NUM
fumecheng-10575	149	54	of	of	ADP
fumecheng-10575	149	55	ammonia	ammonia	NOUN
fumecheng-10575	149	56	,	,	PUNCT
fumecheng-10575	149	57	bagging	bagging	NOUN
fumecheng-10575	149	58	using	use	VERB
fumecheng-10575	149	59	rf	rf	ADJ
fumecheng-10575	149	60	(	(	PUNCT
fumecheng-10575	149	61	mape	mape	NOUN
fumecheng-10575	149	62	of	of	ADP
fumecheng-10575	149	63	8.89	8.89	NUM
fumecheng-10575	149	64	%	%	NOUN
fumecheng-10575	149	65	)	)	PUNCT
fumecheng-10575	149	66	for	for	ADP
fumecheng-10575	149	67	testing	testing	NOUN
fumecheng-10575	149	68	batch	batch	NOUN
fumecheng-10575	149	69	9	9	NUM
fumecheng-10575	149	70	of	of	ADP
fumecheng-10575	149	71	ammonia	ammonia	NOUN
fumecheng-10575	149	72	,	,	PUNCT
fumecheng-10575	149	73	rf	rf	ADJ
fumecheng-10575	149	74	(	(	PUNCT
fumecheng-10575	149	75	mape	mape	NOUN
fumecheng-10575	149	76	of	of	ADP
fumecheng-10575	149	77	4.01	4.01	NUM
fumecheng-10575	149	78	%	%	NOUN
fumecheng-10575	149	79	)	)	PUNCT
fumecheng-10575	149	80	for	for	ADP
fumecheng-10575	149	81	testing	testing	NOUN
fumecheng-10575	149	82	batch	batch	NOUN
fumecheng-10575	149	83	6	6	NUM
fumecheng-10575	149	84	of	of	ADP
fumecheng-10575	149	85	acetaldehyde	acetaldehyde	NOUN
fumecheng-10575	149	86	,	,	PUNCT
fumecheng-10575	149	87	rf	rf	PRON
fumecheng-10575	149	88	(	(	PUNCT
fumecheng-10575	149	89	mape	mape	NOUN
fumecheng-10575	149	90	of	of	ADP
fumecheng-10575	149	91	6.35	6.35	NUM
fumecheng-10575	149	92	%	%	NOUN
fumecheng-10575	149	93	)	)	PUNCT
fumecheng-10575	149	94	for	for	ADP
fumecheng-10575	149	95	testing	testing	NOUN
fumecheng-10575	149	96	batch	batch	NOUN
fumecheng-10575	149	97	9	9	NUM
fumecheng-10575	149	98	of	of	ADP
fumecheng-10575	149	99	acetone	acetone	NOUN
fumecheng-10575	149	100	and	and	CCONJ
fumecheng-10575	149	101	bagging	bagging	NOUN
fumecheng-10575	149	102	using	use	VERB
fumecheng-10575	149	103	rf	rf	ADJ
fumecheng-10575	149	104	(	(	PUNCT
fumecheng-10575	149	105	mape	mape	NOUN
fumecheng-10575	149	106	of	of	ADP
fumecheng-10575	149	107	24.6	24.6	NUM
fumecheng-10575	149	108	%	%	NOUN
fumecheng-10575	149	109	)	)	PUNCT
fumecheng-10575	149	110	for	for	ADP
fumecheng-10575	149	111	testing	testing	NOUN
fumecheng-10575	149	112	batch	batch	NOUN
fumecheng-10575	149	113	10	10	NUM
fumecheng-10575	149	114	of	of	ADP
fumecheng-10575	149	115	toluene	toluene	NOUN
fumecheng-10575	149	116	.	.	PUNCT
fumecheng-10575	150	1	the	the	DET
fumecheng-10575	150	2	low	low	ADJ
fumecheng-10575	150	3	mapes	mapes	PROPN
fumecheng-10575	150	4	in	in	ADP
fumecheng-10575	150	5	majority	majority	NOUN
fumecheng-10575	150	6	of	of	ADP
fumecheng-10575	150	7	the	the	DET
fumecheng-10575	150	8	cases	case	NOUN
fumecheng-10575	150	9	except	except	SCONJ
fumecheng-10575	150	10	for	for	ADP
fumecheng-10575	150	11	when	when	SCONJ
fumecheng-10575	150	12	testing	testing	NOUN
fumecheng-10575	150	13	batch	batch	NOUN
fumecheng-10575	150	14	10	10	NUM
fumecheng-10575	150	15	,	,	PUNCT
fumecheng-10575	150	16	indicated	indicate	VERB
fumecheng-10575	150	17	that	that	SCONJ
fumecheng-10575	150	18	using	use	VERB
fumecheng-10575	150	19	several	several	ADJ
fumecheng-10575	150	20	batches	batch	NOUN
fumecheng-10575	150	21	of	of	ADP
fumecheng-10575	150	22	data	datum	NOUN
fumecheng-10575	150	23	for	for	ADP
fumecheng-10575	150	24	model	model	NOUN
fumecheng-10575	150	25	training	training	NOUN
fumecheng-10575	150	26	helped	help	VERB
fumecheng-10575	150	27	in	in	ADP
fumecheng-10575	150	28	addressing	address	VERB
fumecheng-10575	150	29	sensor	sensor	NOUN
fumecheng-10575	150	30	drift	drift	NOUN
fumecheng-10575	150	31	.	.	PUNCT
fumecheng-10575	151	1	using	use	VERB
fumecheng-10575	151	2	more	more	ADV
fumecheng-10575	151	3	recent	recent	ADJ
fumecheng-10575	151	4	data	data	NOUN
fumecheng-10575	151	5	samples	sample	NOUN
fumecheng-10575	151	6	resulted	result	VERB
fumecheng-10575	151	7	in	in	ADP
fumecheng-10575	151	8	good	good	ADJ
fumecheng-10575	151	9	predictions	prediction	NOUN
fumecheng-10575	151	10	,	,	PUNCT
fumecheng-10575	151	11	with	with	ADP
fumecheng-10575	151	12	rf	rf	PRON
fumecheng-10575	151	13	repeatedly	repeatedly	ADV
fumecheng-10575	151	14	delivering	deliver	VERB
fumecheng-10575	151	15	the	the	DET
fumecheng-10575	151	16	best	good	ADJ
fumecheng-10575	151	17	mapes	mape	NOUN
fumecheng-10575	151	18	,	,	PUNCT
fumecheng-10575	151	19	thereby	thereby	ADV
fumecheng-10575	151	20	,	,	PUNCT
fumecheng-10575	151	21	fortifying	fortify	VERB
fumecheng-10575	151	22	the	the	DET
fumecheng-10575	151	23	ability	ability	NOUN
fumecheng-10575	151	24	of	of	ADP
fumecheng-10575	151	25	ensemble	ensemble	ADJ
fumecheng-10575	151	26	methods	method	NOUN
fumecheng-10575	151	27	to	to	PART
fumecheng-10575	151	28	deliver	deliver	VERB
fumecheng-10575	151	29	good	good	ADJ
fumecheng-10575	151	30	prediction	prediction	NOUN
fumecheng-10575	151	31	results	result	NOUN
fumecheng-10575	151	32	.	.	PUNCT
fumecheng-10575	152	1	furthermore	furthermore	ADV
fumecheng-10575	152	2	,	,	PUNCT
fumecheng-10575	152	3	sfs	sfs	ADJ
fumecheng-10575	152	4	,	,	PUNCT
fumecheng-10575	152	5	sbe	sbe	PROPN
fumecheng-10575	152	6	and	and	CCONJ
fumecheng-10575	152	7	pca	pca	NOUN
fumecheng-10575	152	8	using	use	VERB
fumecheng-10575	152	9	4	4	NUM
fumecheng-10575	152	10	pcs	pc	NOUN
fumecheng-10575	152	11	were	be	AUX
fumecheng-10575	152	12	applied	apply	VERB
fumecheng-10575	152	13	along	along	ADP
fumecheng-10575	152	14	with	with	ADP
fumecheng-10575	152	15	the	the	DET
fumecheng-10575	152	16	machine	machine	NOUN
fumecheng-10575	152	17	learning	learning	NOUN
fumecheng-10575	152	18	models	model	NOUN
fumecheng-10575	152	19	to	to	PART
fumecheng-10575	152	20	improve	improve	VERB
fumecheng-10575	152	21	their	their	PRON
fumecheng-10575	152	22	performance	performance	NOUN
fumecheng-10575	152	23	.	.	PUNCT
fumecheng-10575	153	1	for	for	ADP
fumecheng-10575	153	2	some	some	DET
fumecheng-10575	153	3	models	model	NOUN
fumecheng-10575	153	4	,	,	PUNCT
fumecheng-10575	153	5	the	the	DET
fumecheng-10575	153	6	mapes	mapes	PROPN
fumecheng-10575	153	7	remained	remain	VERB
fumecheng-10575	153	8	the	the	DET
fumecheng-10575	153	9	same	same	ADJ
fumecheng-10575	153	10	despite	despite	SCONJ
fumecheng-10575	153	11	the	the	DET
fumecheng-10575	153	12	use	use	NOUN
fumecheng-10575	153	13	of	of	ADP
fumecheng-10575	153	14	feature	feature	NOUN
fumecheng-10575	153	15	selection	selection	NOUN
fumecheng-10575	153	16	or	or	CCONJ
fumecheng-10575	153	17	dimensionality	dimensionality	NOUN
fumecheng-10575	153	18	reduction	reduction	NOUN
fumecheng-10575	153	19	.	.	PUNCT
fumecheng-10575	154	1	this	this	PRON
fumecheng-10575	154	2	was	be	AUX
fumecheng-10575	154	3	seen	see	VERB
fumecheng-10575	154	4	from	from	ADP
fumecheng-10575	154	5	testing	testing	NOUN
fumecheng-10575	154	6	batch	batch	NOUN
fumecheng-10575	154	7	10	10	NUM
fumecheng-10575	154	8	of	of	ADP
fumecheng-10575	154	9	ethanol	ethanol	NOUN
fumecheng-10575	154	10	using	use	VERB
fumecheng-10575	154	11	dt	dt	X
fumecheng-10575	154	12	and	and	CCONJ
fumecheng-10575	154	13	sfs	sfs	PROPN
fumecheng-10575	154	14	(	(	PUNCT
fumecheng-10575	154	15	mape	mape	NOUN
fumecheng-10575	154	16	of	of	ADP
fumecheng-10575	154	17	54.02	54.02	NUM
fumecheng-10575	154	18	%	%	NOUN
fumecheng-10575	154	19	)	)	PUNCT
fumecheng-10575	154	20	,	,	PUNCT
fumecheng-10575	154	21	batch	batch	VERB
fumecheng-10575	154	22	7	7	NUM
fumecheng-10575	154	23	of	of	ADP
fumecheng-10575	154	24	ammonia	ammonia	NOUN
fumecheng-10575	154	25	using	use	VERB
fumecheng-10575	154	26	knn	knn	PROPN
fumecheng-10575	154	27	and	and	CCONJ
fumecheng-10575	154	28	sbe	sbe	PROPN
fumecheng-10575	154	29	(	(	PUNCT
fumecheng-10575	154	30	mape	mape	NOUN
fumecheng-10575	154	31	of	of	ADP
fumecheng-10575	154	32	5.98	5.98	NUM
fumecheng-10575	154	33	%	%	NOUN
fumecheng-10575	154	34	)	)	PUNCT
fumecheng-10575	154	35	,	,	PUNCT
fumecheng-10575	154	36	batch	batch	VERB
fumecheng-10575	154	37	10	10	NUM
fumecheng-10575	154	38	of	of	ADP
fumecheng-10575	154	39	acetone	acetone	NOUN
fumecheng-10575	154	40	using	use	VERB
fumecheng-10575	154	41	dt	dt	PROPN
fumecheng-10575	154	42	and	and	CCONJ
fumecheng-10575	154	43	sbe	sbe	PROPN
fumecheng-10575	154	44	(	(	PUNCT
fumecheng-10575	154	45	mape	mape	NOUN
fumecheng-10575	154	46	of	of	ADP
fumecheng-10575	154	47	59.61	59.61	NUM
fumecheng-10575	154	48	%	%	NOUN
fumecheng-10575	154	49	)	)	PUNCT
fumecheng-10575	154	50	.	.	PUNCT
fumecheng-10575	155	1	alternatively	alternatively	ADV
fumecheng-10575	155	2	,	,	PUNCT
fumecheng-10575	155	3	in	in	ADP
fumecheng-10575	155	4	cases	case	NOUN
fumecheng-10575	155	5	such	such	ADJ
fumecheng-10575	155	6	as	as	ADP
fumecheng-10575	155	7	testing	testing	NOUN
fumecheng-10575	155	8	batch	batch	NOUN
fumecheng-10575	155	9	6	6	NUM
fumecheng-10575	155	10	of	of	ADP
fumecheng-10575	155	11	ethanol	ethanol	NOUN
fumecheng-10575	155	12	using	use	VERB
fumecheng-10575	155	13	knn	knn	PROPN
fumecheng-10575	155	14	,	,	PUNCT
fumecheng-10575	155	15	sfs	sfs	PROPN
fumecheng-10575	155	16	reduced	reduce	VERB
fumecheng-10575	155	17	the	the	DET
fumecheng-10575	155	18	mape	mape	NOUN
fumecheng-10575	155	19	drastically	drastically	ADV
fumecheng-10575	155	20	from	from	ADP
fumecheng-10575	155	21	22.17	22.17	NUM
fumecheng-10575	155	22	%	%	NOUN
fumecheng-10575	155	23	to	to	PART
fumecheng-10575	155	24	8.15	8.15	NUM
fumecheng-10575	155	25	%	%	NOUN
fumecheng-10575	155	26	and	and	CCONJ
fumecheng-10575	155	27	for	for	ADP
fumecheng-10575	155	28	testing	testing	NOUN
fumecheng-10575	155	29	batch	batch	NOUN
fumecheng-10575	155	30	10	10	NUM
fumecheng-10575	155	31	of	of	ADP
fumecheng-10575	155	32	ethylene	ethylene	NOUN
fumecheng-10575	155	33	using	use	VERB
fumecheng-10575	155	34	rf	rf	NOUN
fumecheng-10575	155	35	,	,	PUNCT
fumecheng-10575	155	36	sbe	sbe	VERB
fumecheng-10575	155	37	reduced	reduce	VERB
fumecheng-10575	155	38	the	the	DET
fumecheng-10575	155	39	mape	mape	NOUN
fumecheng-10575	155	40	from	from	ADP
fumecheng-10575	155	41	85.45	85.45	NUM
fumecheng-10575	155	42	%	%	NOUN
fumecheng-10575	155	43	to	to	ADP
fumecheng-10575	155	44	80.03	80.03	NUM
fumecheng-10575	155	45	%	%	NOUN
fumecheng-10575	155	46	.	.	PUNCT
fumecheng-10575	156	1	testing	testing	NOUN
fumecheng-10575	156	2	batch	batch	NOUN
fumecheng-10575	156	3	8	8	NUM
fumecheng-10575	156	4	of	of	ADP
fumecheng-10575	156	5	acetaldehyde	acetaldehyde	NOUN
fumecheng-10575	156	6	with	with	ADP
fumecheng-10575	156	7	rf	rf	NOUN
fumecheng-10575	156	8	and	and	CCONJ
fumecheng-10575	156	9	pca	pca	PROPN
fumecheng-10575	156	10	reduced	reduce	VERB
fumecheng-10575	156	11	the	the	DET
fumecheng-10575	156	12	mape	mape	NOUN
fumecheng-10575	156	13	from	from	ADP
fumecheng-10575	156	14	7.59	7.59	NUM
fumecheng-10575	156	15	%	%	NOUN
fumecheng-10575	156	16	to	to	ADP
fumecheng-10575	156	17	6.24	6.24	NUM
fumecheng-10575	156	18	%	%	NOUN
fumecheng-10575	156	19	.	.	PUNCT
fumecheng-10575	157	1	consequently	consequently	ADV
fumecheng-10575	157	2	,	,	PUNCT
fumecheng-10575	157	3	the	the	DET
fumecheng-10575	157	4	use	use	NOUN
fumecheng-10575	157	5	of	of	ADP
fumecheng-10575	157	6	either	either	DET
fumecheng-10575	157	7	wrapper	wrapper	NOUN
fumecheng-10575	157	8	-	-	PUNCT
fumecheng-10575	157	9	based	base	VERB
fumecheng-10575	157	10	feature	feature	NOUN
fumecheng-10575	157	11	selection	selection	NOUN
fumecheng-10575	157	12	techniques	technique	NOUN
fumecheng-10575	157	13	or	or	CCONJ
fumecheng-10575	157	14	pca	pca	PROPN
fumecheng-10575	157	15	helped	help	VERB
fumecheng-10575	157	16	to	to	PART
fumecheng-10575	157	17	ameliorate	ameliorate	VERB
fumecheng-10575	157	18	the	the	DET
fumecheng-10575	157	19	performance	performance	NOUN
fumecheng-10575	157	20	of	of	ADP
fumecheng-10575	157	21	the	the	DET
fumecheng-10575	157	22	implemented	implement	VERB
fumecheng-10575	157	23	models	model	NOUN
fumecheng-10575	157	24	.	.	PUNCT
fumecheng-10575	158	1	3.1.4	3.1.4	NUM
fumecheng-10575	158	2	.	.	PUNCT
fumecheng-10575	158	3	machine	machine	NOUN
fumecheng-10575	158	4	learning	learning	NOUN
fumecheng-10575	158	5	–	–	PUNCT
fumecheng-10575	158	6	classification	classification	NOUN
fumecheng-10575	158	7	in	in	ADP
fumecheng-10575	158	8	addition	addition	NOUN
fumecheng-10575	158	9	to	to	ADP
fumecheng-10575	158	10	regression	regression	NOUN
fumecheng-10575	158	11	,	,	PUNCT
fumecheng-10575	158	12	classification	classification	NOUN
fumecheng-10575	158	13	was	be	AUX
fumecheng-10575	158	14	performed	perform	VERB
fumecheng-10575	158	15	to	to	PART
fumecheng-10575	158	16	predict	predict	VERB
fumecheng-10575	158	17	the	the	DET
fumecheng-10575	158	18	gas	gas	NOUN
fumecheng-10575	158	19	type	type	NOUN
fumecheng-10575	158	20	using	use	VERB
fumecheng-10575	158	21	two	two	NUM
fumecheng-10575	158	22	different	different	ADJ
fumecheng-10575	158	23	approaches	approach	NOUN
fumecheng-10575	158	24	:	:	PUNCT
fumecheng-10575	158	25	▪	▪	ADJ
fumecheng-10575	158	26	approach	approach	NOUN
fumecheng-10575	158	27	1	1	NUM
fumecheng-10575	158	28	:	:	PUNCT
fumecheng-10575	158	29	training	train	VERB
fumecheng-10575	158	30	the	the	DET
fumecheng-10575	158	31	algorithm	algorithm	NOUN
fumecheng-10575	158	32	on	on	ADP
fumecheng-10575	158	33	batch	batch	NOUN
fumecheng-10575	158	34	m	m	PRON
fumecheng-10575	158	35	and	and	CCONJ
fumecheng-10575	158	36	testing	test	VERB
fumecheng-10575	158	37	the	the	DET
fumecheng-10575	158	38	model	model	NOUN
fumecheng-10575	158	39	on	on	ADP
fumecheng-10575	158	40	the	the	DET
fumecheng-10575	158	41	remaining	remain	VERB
fumecheng-10575	158	42	consecutive	consecutive	ADJ
fumecheng-10575	158	43	batches	batch	NOUN
fumecheng-10575	158	44	,	,	PUNCT
fumecheng-10575	158	45	where	where	SCONJ
fumecheng-10575	158	46	m	m	VERB
fumecheng-10575	158	47			NOUN
fumecheng-10575	158	48	{	{	PUNCT
fumecheng-10575	158	49	1,2,3,4,5,6,7,8,9	1,2,3,4,5,6,7,8,9	NUM
fumecheng-10575	158	50	}	}	PUNCT
fumecheng-10575	158	51	.	.	PUNCT
fumecheng-10575	159	1	▪	▪	ADJ
fumecheng-10575	159	2	approach	approach	NOUN
fumecheng-10575	159	3	2	2	NUM
fumecheng-10575	159	4	:	:	PUNCT
fumecheng-10575	159	5	training	train	VERB
fumecheng-10575	159	6	the	the	DET
fumecheng-10575	159	7	algorithm	algorithm	NOUN
fumecheng-10575	159	8	on	on	ADP
fumecheng-10575	159	9	batch	batch	NOUN
fumecheng-10575	159	10	(	(	PUNCT
fumecheng-10575	159	11	m-1	m-1	NUM
fumecheng-10575	159	12	)	)	PUNCT
fumecheng-10575	159	13	and	and	CCONJ
fumecheng-10575	159	14	testing	test	VERB
fumecheng-10575	159	15	the	the	DET
fumecheng-10575	159	16	model	model	NOUN
fumecheng-10575	159	17	on	on	ADP
fumecheng-10575	159	18	the	the	DET
fumecheng-10575	159	19	mth	mth	NOUN
fumecheng-10575	159	20	consecutive	consecutive	ADJ
fumecheng-10575	159	21	batch	batch	NOUN
fumecheng-10575	159	22	,	,	PUNCT
fumecheng-10575	159	23	where	where	SCONJ
fumecheng-10575	159	24	m	m	VERB
fumecheng-10575	159	25			NOUN
fumecheng-10575	159	26	{	{	PUNCT
fumecheng-10575	159	27	2,3,4,5,6,7,8,9,10	2,3,4,5,6,7,8,9,10	NUM
fumecheng-10575	159	28	}	}	PUNCT
fumecheng-10575	159	29	.	.	PUNCT
fumecheng-10575	160	1	the	the	DET
fumecheng-10575	160	2	two	two	NUM
fumecheng-10575	160	3	approaches	approach	NOUN
fumecheng-10575	160	4	implemented	implement	VERB
fumecheng-10575	160	5	are	be	AUX
fumecheng-10575	160	6	similar	similar	ADJ
fumecheng-10575	160	7	to	to	ADP
fumecheng-10575	160	8	those	those	PRON
fumecheng-10575	160	9	implemented	implement	VERB
fumecheng-10575	160	10	in	in	ADP
fumecheng-10575	160	11	their	their	PRON
fumecheng-10575	160	12	respective	respective	ADJ
fumecheng-10575	160	13	previously	previously	ADV
fumecheng-10575	160	14	published	publish	VERB
fumecheng-10575	160	15	counterparts	counterpart	NOUN
fumecheng-10575	160	16	in	in	ADP
fumecheng-10575	160	17	[	[	X
fumecheng-10575	160	18	19,24	19,24	X
fumecheng-10575	160	19	]	]	X
fumecheng-10575	160	20	.	.	PUNCT
fumecheng-10575	161	1	this	this	PRON
fumecheng-10575	161	2	was	be	AUX
fumecheng-10575	161	3	done	do	VERB
fumecheng-10575	161	4	to	to	PART
fumecheng-10575	161	5	enable	enable	VERB
fumecheng-10575	161	6	a	a	DET
fumecheng-10575	161	7	fair	fair	ADJ
fumecheng-10575	161	8	comparison	comparison	NOUN
fumecheng-10575	161	9	of	of	ADP
fumecheng-10575	161	10	the	the	DET
fumecheng-10575	161	11	results	result	NOUN
fumecheng-10575	161	12	obtained	obtain	VERB
fumecheng-10575	161	13	.	.	PUNCT
fumecheng-10575	162	1	we	we	PRON
fumecheng-10575	162	2	implemented	implement	VERB
fumecheng-10575	162	3	machine	machine	NOUN
fumecheng-10575	162	4	learning	learning	NOUN
fumecheng-10575	162	5	models	model	NOUN
fumecheng-10575	162	6	such	such	ADJ
fumecheng-10575	162	7	as	as	ADP
fumecheng-10575	162	8	rf	rf	PROPN
fumecheng-10575	162	9	,	,	PUNCT
fumecheng-10575	162	10	ann	ann	PROPN
fumecheng-10575	162	11	,	,	PUNCT
fumecheng-10575	162	12	knn	knn	PROPN
fumecheng-10575	162	13	,	,	PUNCT
fumecheng-10575	162	14	svm	svm	PROPN
fumecheng-10575	162	15	,	,	PUNCT
fumecheng-10575	162	16	dt	dt	X
fumecheng-10575	162	17	,	,	PUNCT
fumecheng-10575	162	18	bagging	bagging	NOUN
fumecheng-10575	162	19	using	use	VERB
fumecheng-10575	162	20	rf	rf	NOUN
fumecheng-10575	162	21	and	and	CCONJ
fumecheng-10575	162	22	vote	vote	VERB
fumecheng-10575	162	23	using	use	VERB
fumecheng-10575	162	24	gbt	gbt	PROPN
fumecheng-10575	162	25	,	,	PUNCT
fumecheng-10575	162	26	rf	rf	ADJ
fumecheng-10575	162	27	for	for	ADP
fumecheng-10575	162	28	both	both	CCONJ
fumecheng-10575	162	29	aforementioned	aforementione	VERB
fumecheng-10575	162	30	approaches	approach	NOUN
fumecheng-10575	162	31	.	.	PUNCT
fumecheng-10575	163	1	for	for	ADP
fumecheng-10575	163	2	ann	ann	PROPN
fumecheng-10575	163	3	,	,	PUNCT
fumecheng-10575	163	4	a	a	DET
fumecheng-10575	163	5	back	back	ADJ
fumecheng-10575	163	6	propagation	propagation	NOUN
fumecheng-10575	163	7	multi	multi	ADJ
fumecheng-10575	163	8	-	-	ADJ
fumecheng-10575	163	9	layer	layer	ADJ
fumecheng-10575	163	10	perceptron	perceptron	NOUN
fumecheng-10575	163	11	(	(	PUNCT
fumecheng-10575	163	12	bp	bp	PROPN
fumecheng-10575	163	13	-	-	PUNCT
fumecheng-10575	163	14	mlp	mlp	NOUN
fumecheng-10575	163	15	)	)	PUNCT
fumecheng-10575	163	16	model	model	NOUN
fumecheng-10575	163	17	with	with	ADP
fumecheng-10575	163	18	2	2	NUM
fumecheng-10575	163	19	hidden	hidden	ADJ
fumecheng-10575	163	20	layers	layer	NOUN
fumecheng-10575	163	21	and	and	CCONJ
fumecheng-10575	163	22	15	15	NUM
fumecheng-10575	163	23	nodes	node	NOUN
fumecheng-10575	163	24	was	be	AUX
fumecheng-10575	163	25	used	use	VERB
fumecheng-10575	163	26	.	.	PUNCT
fumecheng-10575	164	1	moreover	moreover	ADV
fumecheng-10575	164	2	,	,	PUNCT
fumecheng-10575	164	3	to	to	PART
fumecheng-10575	164	4	get	get	VERB
fumecheng-10575	164	5	appropriate	appropriate	ADJ
fumecheng-10575	164	6	results	result	NOUN
fumecheng-10575	164	7	,	,	PUNCT
fumecheng-10575	164	8	the	the	DET
fumecheng-10575	164	9	training	training	NOUN
fumecheng-10575	164	10	datasets	dataset	NOUN
fumecheng-10575	164	11	were	be	AUX
fumecheng-10575	164	12	normalized	normalize	VERB
fumecheng-10575	164	13	to	to	PART
fumecheng-10575	164	14	lie	lie	VERB
fumecheng-10575	164	15	between	between	ADP
fumecheng-10575	164	16	-1	-1	PUNCT
fumecheng-10575	164	17	and	and	CCONJ
fumecheng-10575	164	18	1	1	NUM
fumecheng-10575	164	19	for	for	ADP
fumecheng-10575	164	20	svm	svm	PROPN
fumecheng-10575	164	21	,	,	PUNCT
fumecheng-10575	164	22	ann	ann	PROPN
fumecheng-10575	164	23	and	and	CCONJ
fumecheng-10575	164	24	knn	knn	PROPN
fumecheng-10575	164	25	.	.	PUNCT
fumecheng-10575	165	1	using	use	VERB
fumecheng-10575	165	2	10	10	NUM
fumecheng-10575	165	3	-	-	ADJ
fumecheng-10575	165	4	fold	fold	ADJ
fumecheng-10575	165	5	,	,	PUNCT
fumecheng-10575	165	6	leave	leave	VERB
fumecheng-10575	165	7	-	-	PUNCT
fumecheng-10575	165	8	one	one	NUM
fumecheng-10575	165	9	-	-	PUNCT
fumecheng-10575	165	10	out	out	ADP
fumecheng-10575	165	11	cross	cross	NOUN
fumecheng-10575	165	12	-	-	NOUN
fumecheng-10575	165	13	validation	validation	ADJ
fumecheng-10575	165	14	,	,	PUNCT
fumecheng-10575	165	15	the	the	DET
fumecheng-10575	165	16	classification	classification	NOUN
fumecheng-10575	165	17	accuracies	accuracy	NOUN
fumecheng-10575	165	18	for	for	ADP
fumecheng-10575	165	19	the	the	DET
fumecheng-10575	165	20	machine	machine	NOUN
fumecheng-10575	165	21	learning	learning	NOUN
fumecheng-10575	165	22	models	model	NOUN
fumecheng-10575	165	23	using	use	VERB
fumecheng-10575	165	24	approach	approach	NOUN
fumecheng-10575	165	25	1	1	NUM
fumecheng-10575	165	26	are	be	AUX
fumecheng-10575	165	27	shown	show	VERB
fumecheng-10575	165	28	in	in	ADP
fumecheng-10575	165	29	table	table	NOUN
fumecheng-10575	165	30	5	5	NUM
fumecheng-10575	165	31	.	.	PUNCT
fumecheng-10575	165	32	from	from	ADP
fumecheng-10575	165	33	table	table	NOUN
fumecheng-10575	165	34	5	5	NUM
fumecheng-10575	165	35	,	,	PUNCT
fumecheng-10575	165	36	it	it	PRON
fumecheng-10575	165	37	is	be	AUX
fumecheng-10575	165	38	observed	observe	VERB
fumecheng-10575	165	39	that	that	SCONJ
fumecheng-10575	165	40	training	training	NOUN
fumecheng-10575	165	41	on	on	ADP
fumecheng-10575	165	42	batch	batch	NOUN
fumecheng-10575	165	43	1	1	NUM
fumecheng-10575	165	44	and	and	CCONJ
fumecheng-10575	165	45	testing	testing	NOUN
fumecheng-10575	165	46	on	on	ADP
fumecheng-10575	165	47	all	all	DET
fumecheng-10575	165	48	consecutive	consecutive	ADJ
fumecheng-10575	165	49	batches	batch	NOUN
fumecheng-10575	165	50	results	result	NOUN
fumecheng-10575	165	51	in	in	ADP
fumecheng-10575	165	52	the	the	DET
fumecheng-10575	165	53	highest	high	ADJ
fumecheng-10575	165	54	average	average	ADJ
fumecheng-10575	165	55	classification	classification	NOUN
fumecheng-10575	165	56	accuracy	accuracy	NOUN
fumecheng-10575	165	57	of	of	ADP
fumecheng-10575	165	58	60.75	60.75	NUM
fumecheng-10575	165	59	%	%	NOUN
fumecheng-10575	165	60	using	use	VERB
fumecheng-10575	165	61	svm	svm	PROPN
fumecheng-10575	165	62	.	.	PUNCT
fumecheng-10575	166	1	a	a	DET
fumecheng-10575	166	2	similar	similar	ADJ
fumecheng-10575	166	3	observation	observation	NOUN
fumecheng-10575	166	4	can	can	AUX
fumecheng-10575	166	5	be	be	AUX
fumecheng-10575	166	6	made	make	VERB
fumecheng-10575	166	7	for	for	ADP
fumecheng-10575	166	8	batch	batch	NOUN
fumecheng-10575	166	9	2	2	NUM
fumecheng-10575	166	10	(	(	PUNCT
fumecheng-10575	166	11	accuracy	accuracy	NOUN
fumecheng-10575	166	12	of	of	ADP
fumecheng-10575	166	13	60.31	60.31	NUM
fumecheng-10575	166	14	%	%	NOUN
fumecheng-10575	166	15	)	)	PUNCT
fumecheng-10575	166	16	and	and	CCONJ
fumecheng-10575	166	17	batch	batch	VERB
fumecheng-10575	166	18	3	3	NUM
fumecheng-10575	166	19	(	(	PUNCT
fumecheng-10575	166	20	accuracy	accuracy	NOUN
fumecheng-10575	166	21	of	of	ADP
fumecheng-10575	166	22	63.59	63.59	NUM
fumecheng-10575	166	23	%	%	NOUN
fumecheng-10575	166	24	)	)	PUNCT
fumecheng-10575	166	25	,	,	PUNCT
fumecheng-10575	166	26	which	which	PRON
fumecheng-10575	166	27	rendered	render	VERB
fumecheng-10575	166	28	accuracies	accuracy	NOUN
fumecheng-10575	166	29	in	in	ADP
fumecheng-10575	166	30	the	the	DET
fumecheng-10575	166	31	same	same	ADJ
fumecheng-10575	166	32	range	range	NOUN
fumecheng-10575	166	33	but	but	CCONJ
fumecheng-10575	166	34	using	use	VERB
fumecheng-10575	166	35	knn	knn	PROPN
fumecheng-10575	166	36	.	.	PROPN
fumecheng-10575	167	1	for	for	ADP
fumecheng-10575	167	2	knn	knn	PROPN
fumecheng-10575	167	3	,	,	PUNCT
fumecheng-10575	167	4	the	the	DET
fumecheng-10575	167	5	value	value	NOUN
fumecheng-10575	167	6	of	of	ADP
fumecheng-10575	167	7	k	k	PROPN
fumecheng-10575	167	8	was	be	AUX
fumecheng-10575	167	9	initially	initially	ADV
fumecheng-10575	167	10	set	set	VERB
fumecheng-10575	167	11	to	to	ADP
fumecheng-10575	167	12	5	5	NUM
fumecheng-10575	167	13	,	,	PUNCT
fumecheng-10575	167	14	however	however	ADV
fumecheng-10575	167	15	,	,	PUNCT
fumecheng-10575	167	16	on	on	ADP
fumecheng-10575	167	17	tuning	tune	VERB
fumecheng-10575	167	18	the	the	DET
fumecheng-10575	167	19	model	model	NOUN
fumecheng-10575	167	20	hyperparameters	hyperparameter	NOUN
fumecheng-10575	167	21	,	,	PUNCT
fumecheng-10575	167	22	setting	set	VERB
fumecheng-10575	167	23	the	the	DET
fumecheng-10575	167	24	value	value	NOUN
fumecheng-10575	167	25	of	of	ADP
fumecheng-10575	167	26	k	k	PROPN
fumecheng-10575	167	27	equal	equal	ADJ
fumecheng-10575	167	28	to	to	ADP
fumecheng-10575	167	29	7	7	NUM
fumecheng-10575	167	30	yielded	yield	VERB
fumecheng-10575	167	31	the	the	DET
fumecheng-10575	167	32	best	good	ADJ
fumecheng-10575	167	33	results	result	NOUN
fumecheng-10575	167	34	for	for	ADP
fumecheng-10575	167	35	classification	classification	NOUN
fumecheng-10575	167	36	.	.	PUNCT
fumecheng-10575	168	1	irrespective	irrespective	ADV
fumecheng-10575	168	2	of	of	ADP
fumecheng-10575	168	3	the	the	DET
fumecheng-10575	168	4	technique	technique	NOUN
fumecheng-10575	168	5	that	that	PRON
fumecheng-10575	168	6	rendered	render	VERB
fumecheng-10575	168	7	the	the	DET
fumecheng-10575	168	8	assessment	assessment	NOUN
fumecheng-10575	168	9	and	and	CCONJ
fumecheng-10575	168	10	performance	performance	NOUN
fumecheng-10575	168	11	analysis	analysis	NOUN
fumecheng-10575	168	12	of	of	ADP
fumecheng-10575	168	13	machine	machine	NOUN
fumecheng-10575	168	14	learning	learn	VERB
fumecheng-10575	168	15	techniques	technique	NOUN
fumecheng-10575	168	16	for	for	ADP
fumecheng-10575	168	17	gas	gas	NOUN
fumecheng-10575	168	18	sensing	sense	VERB
fumecheng-10575	168	19	e	e	NOUN
fumecheng-10575	168	20	-	-	NOUN
fumecheng-10575	168	21	nose	nose	NOUN
fumecheng-10575	168	22	...	...	PUNCT
fumecheng-10575	168	23	489	489	NUM
fumecheng-10575	168	24	highest	high	ADJ
fumecheng-10575	168	25	accuracy	accuracy	NOUN
fumecheng-10575	168	26	,	,	PUNCT
fumecheng-10575	168	27	it	it	PRON
fumecheng-10575	168	28	was	be	AUX
fumecheng-10575	168	29	quite	quite	ADV
fumecheng-10575	168	30	evident	evident	ADJ
fumecheng-10575	168	31	that	that	SCONJ
fumecheng-10575	168	32	the	the	DET
fumecheng-10575	168	33	classification	classification	NOUN
fumecheng-10575	168	34	accuracy	accuracy	NOUN
fumecheng-10575	168	35	decreased	decrease	VERB
fumecheng-10575	168	36	on	on	ADP
fumecheng-10575	168	37	going	go	VERB
fumecheng-10575	168	38	from	from	ADP
fumecheng-10575	168	39	training	training	NOUN
fumecheng-10575	168	40	batch	batch	NOUN
fumecheng-10575	168	41	1	1	NUM
fumecheng-10575	168	42	to	to	PART
fumecheng-10575	168	43	batch	batch	VERB
fumecheng-10575	168	44	9	9	NUM
fumecheng-10575	168	45	due	due	ADP
fumecheng-10575	168	46	to	to	ADP
fumecheng-10575	168	47	sensor	sensor	NOUN
fumecheng-10575	168	48	drift	drift	NOUN
fumecheng-10575	168	49	.	.	PUNCT
fumecheng-10575	169	1	despite	despite	SCONJ
fumecheng-10575	169	2	the	the	DET
fumecheng-10575	169	3	occurrence	occurrence	NOUN
fumecheng-10575	169	4	of	of	ADP
fumecheng-10575	169	5	drift	drift	NOUN
fumecheng-10575	169	6	,	,	PUNCT
fumecheng-10575	169	7	the	the	DET
fumecheng-10575	169	8	classification	classification	NOUN
fumecheng-10575	169	9	accuracy	accuracy	NOUN
fumecheng-10575	169	10	of	of	ADP
fumecheng-10575	169	11	60.75	60.75	NUM
fumecheng-10575	169	12	%	%	NOUN
fumecheng-10575	169	13	was	be	AUX
fumecheng-10575	169	14	higher	high	ADJ
fumecheng-10575	169	15	than	than	ADP
fumecheng-10575	169	16	the	the	DET
fumecheng-10575	169	17	accuracies	accuracy	NOUN
fumecheng-10575	169	18	rendered	render	VERB
fumecheng-10575	169	19	by	by	ADP
fumecheng-10575	169	20	ann	ann	PROPN
fumecheng-10575	169	21	(	(	PUNCT
fumecheng-10575	169	22	accuracy	accuracy	NOUN
fumecheng-10575	169	23	of	of	ADP
fumecheng-10575	169	24	42.43	42.43	NUM
fumecheng-10575	169	25	%	%	NOUN
fumecheng-10575	169	26	)	)	PUNCT
fumecheng-10575	169	27	and	and	CCONJ
fumecheng-10575	169	28	knn	knn	PROPN
fumecheng-10575	169	29	(	(	PUNCT
fumecheng-10575	169	30	accuracy	accuracy	NOUN
fumecheng-10575	169	31	of	of	ADP
fumecheng-10575	169	32	45.77	45.77	NUM
fumecheng-10575	169	33	%	%	NOUN
fumecheng-10575	169	34	)	)	PUNCT
fumecheng-10575	169	35	as	as	SCONJ
fumecheng-10575	169	36	reported	report	VERB
fumecheng-10575	169	37	in	in	ADP
fumecheng-10575	169	38	[	[	X
fumecheng-10575	169	39	24	24	NUM
fumecheng-10575	169	40	]	]	PUNCT
fumecheng-10575	169	41	.	.	PUNCT
fumecheng-10575	170	1	our	our	PRON
fumecheng-10575	170	2	results	result	NOUN
fumecheng-10575	170	3	were	be	AUX
fumecheng-10575	170	4	also	also	ADV
fumecheng-10575	170	5	compared	compare	VERB
fumecheng-10575	170	6	to	to	ADP
fumecheng-10575	170	7	those	those	PRON
fumecheng-10575	170	8	presented	present	VERB
fumecheng-10575	170	9	by	by	ADP
fumecheng-10575	170	10	vergara	vergara	PROPN
fumecheng-10575	170	11	et	et	PROPN
fumecheng-10575	170	12	al	al	PROPN
fumecheng-10575	170	13	.	.	PUNCT
fumecheng-10575	171	1	[	[	X
fumecheng-10575	171	2	19	19	NUM
fumecheng-10575	171	3	]	]	PUNCT
fumecheng-10575	171	4	,	,	PUNCT
fumecheng-10575	171	5	who	who	PRON
fumecheng-10575	171	6	used	use	VERB
fumecheng-10575	171	7	an	an	DET
fumecheng-10575	171	8	svm	svm	ADJ
fumecheng-10575	171	9	-	-	PUNCT
fumecheng-10575	171	10	based	base	VERB
fumecheng-10575	171	11	machine	machine	NOUN
fumecheng-10575	171	12	learning	learning	NOUN
fumecheng-10575	171	13	model	model	NOUN
fumecheng-10575	171	14	for	for	ADP
fumecheng-10575	171	15	classification	classification	NOUN
fumecheng-10575	171	16	.	.	PUNCT
fumecheng-10575	172	1	on	on	ADP
fumecheng-10575	172	2	comparing	compare	VERB
fumecheng-10575	172	3	accuracies	accuracy	NOUN
fumecheng-10575	172	4	,	,	PUNCT
fumecheng-10575	172	5	it	it	PRON
fumecheng-10575	172	6	was	be	AUX
fumecheng-10575	172	7	observed	observe	VERB
fumecheng-10575	172	8	that	that	SCONJ
fumecheng-10575	172	9	the	the	DET
fumecheng-10575	172	10	implemented	implement	VERB
fumecheng-10575	172	11	svm	svm	ADJ
fumecheng-10575	172	12	classifier	classifier	NOUN
fumecheng-10575	172	13	(	(	PUNCT
fumecheng-10575	172	14	accuracy	accuracy	NOUN
fumecheng-10575	172	15	of	of	ADP
fumecheng-10575	172	16	60.75	60.75	NUM
fumecheng-10575	172	17	%	%	NOUN
fumecheng-10575	172	18	)	)	PUNCT
fumecheng-10575	172	19	performed	perform	VERB
fumecheng-10575	172	20	better	well	ADV
fumecheng-10575	172	21	than	than	ADP
fumecheng-10575	172	22	the	the	DET
fumecheng-10575	172	23	svm	svm	ADJ
fumecheng-10575	172	24	classifier	classifier	NOUN
fumecheng-10575	172	25	in	in	ADP
fumecheng-10575	172	26	[	[	X
fumecheng-10575	172	27	19	19	NUM
fumecheng-10575	172	28	]	]	PUNCT
fumecheng-10575	172	29	.	.	PUNCT
fumecheng-10575	173	1	besides	besides	SCONJ
fumecheng-10575	173	2	svm	svm	PROPN
fumecheng-10575	173	3	,	,	PUNCT
fumecheng-10575	173	4	knn	knn	PROPN
fumecheng-10575	173	5	also	also	ADV
fumecheng-10575	173	6	provided	provide	VERB
fumecheng-10575	173	7	a	a	DET
fumecheng-10575	173	8	higher	high	ADJ
fumecheng-10575	173	9	accuracy	accuracy	NOUN
fumecheng-10575	173	10	60.31	60.31	NUM
fumecheng-10575	173	11	%	%	NOUN
fumecheng-10575	173	12	when	when	SCONJ
fumecheng-10575	173	13	trained	train	VERB
fumecheng-10575	173	14	on	on	ADP
fumecheng-10575	173	15	batch	batch	NOUN
fumecheng-10575	173	16	2	2	NUM
fumecheng-10575	173	17	and	and	CCONJ
fumecheng-10575	173	18	tested	test	VERB
fumecheng-10575	173	19	on	on	ADP
fumecheng-10575	173	20	batches	batch	NOUN
fumecheng-10575	173	21	3	3	NUM
fumecheng-10575	173	22	-	-	SYM
fumecheng-10575	173	23	10	10	NUM
fumecheng-10575	173	24	in	in	ADP
fumecheng-10575	173	25	comparison	comparison	NOUN
fumecheng-10575	173	26	to	to	ADP
fumecheng-10575	173	27	svm	svm	PROPN
fumecheng-10575	173	28	(	(	PUNCT
fumecheng-10575	173	29	accuracy	accuracy	NOUN
fumecheng-10575	173	30	of	of	ADP
fumecheng-10575	173	31	58.35	58.35	NUM
fumecheng-10575	173	32	%	%	NOUN
fumecheng-10575	173	33	)	)	PUNCT
fumecheng-10575	173	34	in	in	ADP
fumecheng-10575	173	35	[	[	X
fumecheng-10575	173	36	19	19	NUM
fumecheng-10575	173	37	]	]	PUNCT
fumecheng-10575	173	38	.	.	PUNCT
fumecheng-10575	174	1	a	a	DET
fumecheng-10575	174	2	similar	similar	ADJ
fumecheng-10575	174	3	claim	claim	NOUN
fumecheng-10575	174	4	can	can	AUX
fumecheng-10575	174	5	be	be	AUX
fumecheng-10575	174	6	made	make	VERB
fumecheng-10575	174	7	for	for	ADP
fumecheng-10575	174	8	training	training	NOUN
fumecheng-10575	174	9	batch	batch	NOUN
fumecheng-10575	174	10	4	4	NUM
fumecheng-10575	174	11	(	(	PUNCT
fumecheng-10575	174	12	accuracy	accuracy	NOUN
fumecheng-10575	174	13	of	of	ADP
fumecheng-10575	174	14	44.46	44.46	NUM
fumecheng-10575	174	15	%	%	NOUN
fumecheng-10575	174	16	with	with	ADP
fumecheng-10575	174	17	bagging	bagging	NOUN
fumecheng-10575	174	18	using	use	VERB
fumecheng-10575	174	19	rf	rf	NOUN
fumecheng-10575	174	20	)	)	PUNCT
fumecheng-10575	174	21	,	,	PUNCT
fumecheng-10575	174	22	batch	batch	VERB
fumecheng-10575	174	23	5	5	NUM
fumecheng-10575	174	24	(	(	PUNCT
fumecheng-10575	174	25	47.23	47.23	NUM
fumecheng-10575	174	26	%	%	NOUN
fumecheng-10575	174	27	with	with	ADP
fumecheng-10575	174	28	svm	svm	PROPN
fumecheng-10575	174	29	)	)	PUNCT
fumecheng-10575	174	30	and	and	CCONJ
fumecheng-10575	174	31	batch	batch	VERB
fumecheng-10575	174	32	8	8	NUM
fumecheng-10575	174	33	(	(	PUNCT
fumecheng-10575	174	34	56.44	56.44	NUM
fumecheng-10575	174	35	%	%	NOUN
fumecheng-10575	174	36	with	with	ADP
fumecheng-10575	174	37	rf	rf	NOUN
fumecheng-10575	174	38	)	)	PUNCT
fumecheng-10575	174	39	.	.	PUNCT
fumecheng-10575	175	1	as	as	ADP
fumecheng-10575	175	2	a	a	DET
fumecheng-10575	175	3	result	result	NOUN
fumecheng-10575	175	4	,	,	PUNCT
fumecheng-10575	175	5	the	the	DET
fumecheng-10575	175	6	classifiers	classifier	NOUN
fumecheng-10575	175	7	in	in	ADP
fumecheng-10575	175	8	our	our	PRON
fumecheng-10575	175	9	research	research	NOUN
fumecheng-10575	175	10	were	be	AUX
fumecheng-10575	175	11	successful	successful	ADJ
fumecheng-10575	175	12	in	in	ADP
fumecheng-10575	175	13	outperforming	outperform	VERB
fumecheng-10575	175	14	the	the	DET
fumecheng-10575	175	15	svm	svm	ADJ
fumecheng-10575	175	16	classifier	classifier	NOUN
fumecheng-10575	175	17	in	in	ADP
fumecheng-10575	175	18	[	[	X
fumecheng-10575	175	19	19	19	NUM
fumecheng-10575	175	20	]	]	PUNCT
fumecheng-10575	175	21	in	in	ADP
fumecheng-10575	175	22	50	50	NUM
fumecheng-10575	175	23	%	%	NOUN
fumecheng-10575	175	24	of	of	ADP
fumecheng-10575	175	25	the	the	DET
fumecheng-10575	175	26	cases	case	NOUN
fumecheng-10575	175	27	.	.	PUNCT
fumecheng-10575	176	1	using	use	VERB
fumecheng-10575	176	2	the	the	DET
fumecheng-10575	176	3	second	second	ADJ
fumecheng-10575	176	4	approach	approach	NOUN
fumecheng-10575	176	5	,	,	PUNCT
fumecheng-10575	176	6	i.e.	i.e.	X
fumecheng-10575	176	7	,	,	PUNCT
fumecheng-10575	176	8	training	training	NOUN
fumecheng-10575	176	9	classifiers	classifier	NOUN
fumecheng-10575	176	10	using	use	VERB
fumecheng-10575	176	11	only	only	ADV
fumecheng-10575	176	12	the	the	DET
fumecheng-10575	176	13	previous	previous	ADJ
fumecheng-10575	176	14	batch	batch	NOUN
fumecheng-10575	176	15	and	and	CCONJ
fumecheng-10575	176	16	testing	testing	NOUN
fumecheng-10575	176	17	on	on	ADP
fumecheng-10575	176	18	the	the	DET
fumecheng-10575	176	19	next	next	ADJ
fumecheng-10575	176	20	immediate	immediate	ADJ
fumecheng-10575	176	21	consecutive	consecutive	ADJ
fumecheng-10575	176	22	batch	batch	NOUN
fumecheng-10575	176	23	,	,	PUNCT
fumecheng-10575	176	24	we	we	PRON
fumecheng-10575	176	25	set	set	VERB
fumecheng-10575	176	26	the	the	DET
fumecheng-10575	176	27	classifiers	classifier	NOUN
fumecheng-10575	176	28	to	to	ADP
fumecheng-10575	176	29	their	their	PRON
fumecheng-10575	176	30	initial	initial	ADJ
fumecheng-10575	176	31	parameters	parameter	NOUN
fumecheng-10575	176	32	to	to	PART
fumecheng-10575	176	33	perform	perform	VERB
fumecheng-10575	176	34	classification	classification	NOUN
fumecheng-10575	176	35	.	.	PUNCT
fumecheng-10575	177	1	results	result	NOUN
fumecheng-10575	177	2	of	of	ADP
fumecheng-10575	177	3	approach	approach	NOUN
fumecheng-10575	177	4	2	2	NUM
fumecheng-10575	177	5	for	for	ADP
fumecheng-10575	177	6	different	different	ADJ
fumecheng-10575	177	7	models	model	NOUN
fumecheng-10575	177	8	are	be	AUX
fumecheng-10575	177	9	shown	show	VERB
fumecheng-10575	177	10	in	in	ADP
fumecheng-10575	177	11	table	table	NOUN
fumecheng-10575	177	12	6	6	NUM
fumecheng-10575	177	13	.	.	PUNCT
fumecheng-10575	178	1	it	it	PRON
fumecheng-10575	178	2	is	be	AUX
fumecheng-10575	178	3	quite	quite	ADV
fumecheng-10575	178	4	clear	clear	ADJ
fumecheng-10575	178	5	that	that	SCONJ
fumecheng-10575	178	6	the	the	DET
fumecheng-10575	178	7	accuracy	accuracy	NOUN
fumecheng-10575	178	8	for	for	ADP
fumecheng-10575	178	9	each	each	DET
fumecheng-10575	178	10	test	test	NOUN
fumecheng-10575	178	11	batch	batch	NOUN
fumecheng-10575	178	12	reaches	reach	VERB
fumecheng-10575	178	13	its	its	PRON
fumecheng-10575	178	14	highest	high	ADJ
fumecheng-10575	178	15	value	value	NOUN
fumecheng-10575	178	16	when	when	SCONJ
fumecheng-10575	178	17	the	the	DET
fumecheng-10575	178	18	model	model	NOUN
fumecheng-10575	178	19	is	be	AUX
fumecheng-10575	178	20	trained	train	VERB
fumecheng-10575	178	21	with	with	ADP
fumecheng-10575	178	22	a	a	DET
fumecheng-10575	178	23	previous	previous	ADJ
fumecheng-10575	178	24	batch	batch	NOUN
fumecheng-10575	178	25	.	.	PUNCT
fumecheng-10575	179	1	moreover	moreover	ADV
fumecheng-10575	179	2	,	,	PUNCT
fumecheng-10575	179	3	classifiers	classifier	NOUN
fumecheng-10575	179	4	such	such	ADJ
fumecheng-10575	179	5	as	as	ADP
fumecheng-10575	179	6	vote	vote	NOUN
fumecheng-10575	179	7	(	(	PUNCT
fumecheng-10575	179	8	gbt	gbt	NOUN
fumecheng-10575	179	9	,	,	PUNCT
fumecheng-10575	179	10	rf	rf	NOUN
fumecheng-10575	179	11	)	)	PUNCT
fumecheng-10575	179	12	,	,	PUNCT
fumecheng-10575	179	13	rf	rf	NOUN
fumecheng-10575	179	14	,	,	PUNCT
fumecheng-10575	179	15	svm	svm	ADJ
fumecheng-10575	179	16	,	,	PUNCT
fumecheng-10575	179	17	bagging	bagging	NOUN
fumecheng-10575	179	18	(	(	PUNCT
fumecheng-10575	179	19	rf	rf	NOUN
fumecheng-10575	179	20	)	)	PUNCT
fumecheng-10575	179	21	and	and	CCONJ
fumecheng-10575	179	22	rf	rf	VERB
fumecheng-10575	179	23	rendered	render	VERB
fumecheng-10575	179	24	quite	quite	ADV
fumecheng-10575	179	25	high	high	ADJ
fumecheng-10575	179	26	accuracies	accuracy	NOUN
fumecheng-10575	179	27	for	for	ADP
fumecheng-10575	179	28	6	6	NUM
fumecheng-10575	179	29	out	out	ADP
fumecheng-10575	179	30	of	of	ADP
fumecheng-10575	179	31	the	the	DET
fumecheng-10575	179	32	table	table	NOUN
fumecheng-10575	179	33	5	5	NUM
fumecheng-10575	179	34	average	average	ADJ
fumecheng-10575	179	35	classification	classification	NOUN
fumecheng-10575	179	36	accuracies	accuracy	NOUN
fumecheng-10575	179	37	for	for	ADP
fumecheng-10575	179	38	training	training	NOUN
fumecheng-10575	179	39	with	with	ADP
fumecheng-10575	179	40	different	different	ADJ
fumecheng-10575	179	41	batches	batch	NOUN
fumecheng-10575	179	42	–	–	PUNCT
fumecheng-10575	179	43	approach	approach	NOUN
fumecheng-10575	179	44	1	1	NUM
fumecheng-10575	179	45	training	training	NOUN
fumecheng-10575	179	46	batch	batch	NOUN
fumecheng-10575	179	47	test	test	NOUN
fumecheng-10575	179	48	batches	batch	VERB
fumecheng-10575	179	49	average	average	ADJ
fumecheng-10575	179	50	classification	classification	NOUN
fumecheng-10575	179	51	accuracy	accuracy	NOUN
fumecheng-10575	179	52	(	(	PUNCT
fumecheng-10575	179	53	%	%	NOUN
fumecheng-10575	179	54	)	)	PUNCT
fumecheng-10575	179	55	ann	ann	PROPN
fumecheng-10575	179	56	knn	knn	PROPN
fumecheng-10575	179	57	svm	svm	PROPN
fumecheng-10575	180	1	rf	rf	NOUN
fumecheng-10575	181	1	dt	dt	NOUN
fumecheng-10575	181	2	bagging	bag	VERB
fumecheng-10575	181	3	(	(	PUNCT
fumecheng-10575	181	4	rf	rf	NOUN
fumecheng-10575	181	5	)	)	PUNCT
fumecheng-10575	181	6	vote	vote	NOUN
fumecheng-10575	181	7	(	(	PUNCT
fumecheng-10575	181	8	gbt	gbt	NOUN
fumecheng-10575	181	9	,	,	PUNCT
fumecheng-10575	181	10	rf	rf	NOUN
fumecheng-10575	181	11	)	)	PUNCT
fumecheng-10575	181	12	batch	batch	NOUN
fumecheng-10575	181	13	1	1	NUM
fumecheng-10575	181	14	batches	batch	NOUN
fumecheng-10575	181	15	2	2	NUM
fumecheng-10575	181	16	-	-	SYM
fumecheng-10575	181	17	10	10	NUM
fumecheng-10575	181	18	53.19	53.19	NUM
fumecheng-10575	181	19	58.72	58.72	NUM
fumecheng-10575	181	20	60.75	60.75	NUM
fumecheng-10575	181	21	49.25	49.25	NUM
fumecheng-10575	181	22	50.8	50.8	NUM
fumecheng-10575	181	23	44.11	44.11	NUM
fumecheng-10575	181	24	45.32	45.32	NUM
fumecheng-10575	181	25	batch	batch	NOUN
fumecheng-10575	181	26	2	2	NUM
fumecheng-10575	181	27	batches	batch	NOUN
fumecheng-10575	181	28	3	3	NUM
fumecheng-10575	181	29	-	-	SYM
fumecheng-10575	181	30	10	10	NUM
fumecheng-10575	181	31	56.47	56.47	NUM
fumecheng-10575	181	32	60.31	60.31	NUM
fumecheng-10575	181	33	50.97	50.97	NUM
fumecheng-10575	181	34	54.07	54.07	NUM
fumecheng-10575	181	35	49.99	49.99	NUM
fumecheng-10575	181	36	56.36	56.36	NUM
fumecheng-10575	181	37	49.46	49.46	NUM
fumecheng-10575	181	38	batch	batch	NOUN
fumecheng-10575	181	39	3	3	NUM
fumecheng-10575	181	40	batches	batch	NOUN
fumecheng-10575	181	41	4	4	NUM
fumecheng-10575	181	42	-	-	SYM
fumecheng-10575	181	43	10	10	NUM
fumecheng-10575	181	44	54.78	54.78	NUM
fumecheng-10575	181	45	63.59	63.59	NUM
fumecheng-10575	181	46	60.74	60.74	NUM
fumecheng-10575	181	47	58.98	58.98	NUM
fumecheng-10575	181	48	45.5	45.5	NUM
fumecheng-10575	181	49	57.87	57.87	NUM
fumecheng-10575	181	50	51.6	51.6	NUM
fumecheng-10575	181	51	batch	batch	NOUN
fumecheng-10575	181	52	4	4	NUM
fumecheng-10575	181	53	batches	batch	NOUN
fumecheng-10575	181	54	5	5	NUM
fumecheng-10575	181	55	-	-	SYM
fumecheng-10575	181	56	10	10	NUM
fumecheng-10575	181	57	35.03	35.03	NUM
fumecheng-10575	181	58	36.98	36.98	NUM
fumecheng-10575	181	59	40.77	40.77	NUM
fumecheng-10575	181	60	43.88	43.88	NUM
fumecheng-10575	181	61	37.25	37.25	NUM
fumecheng-10575	181	62	44.46	44.46	NUM
fumecheng-10575	181	63	43.65	43.65	NUM
fumecheng-10575	181	64	batch	batch	NOUN
fumecheng-10575	181	65	5	5	NUM
fumecheng-10575	181	66	batches	batch	NOUN
fumecheng-10575	181	67	6	6	NUM
fumecheng-10575	181	68	-	-	SYM
fumecheng-10575	181	69	10	10	NUM
fumecheng-10575	181	70	32.19	32.19	NUM
fumecheng-10575	181	71	32.07	32.07	NUM
fumecheng-10575	181	72	47.23	47.23	NUM
fumecheng-10575	181	73	27.06	27.06	NUM
fumecheng-10575	181	74	19.28	19.28	NUM
fumecheng-10575	181	75	25.1	25.1	NUM
fumecheng-10575	181	76	25.76	25.76	NUM
fumecheng-10575	181	77	batch	batch	NOUN
fumecheng-10575	181	78	6	6	NUM
fumecheng-10575	181	79	batches	batch	NOUN
fumecheng-10575	181	80	7	7	NUM
fumecheng-10575	181	81	-	-	SYM
fumecheng-10575	181	82	10	10	NUM
fumecheng-10575	181	83	48.82	48.82	NUM
fumecheng-10575	181	84	57.53	57.53	NUM
fumecheng-10575	181	85	54.13	54.13	NUM
fumecheng-10575	181	86	54.13	54.13	NUM
fumecheng-10575	181	87	48.7	48.7	NUM
fumecheng-10575	181	88	53.49	53.49	NUM
fumecheng-10575	181	89	53.61	53.61	NUM
fumecheng-10575	181	90	batch	batch	NOUN
fumecheng-10575	181	91	7	7	NUM
fumecheng-10575	181	92	batches	batch	NOUN
fumecheng-10575	181	93	8	8	NUM
fumecheng-10575	181	94	-	-	SYM
fumecheng-10575	181	95	10	10	NUM
fumecheng-10575	181	96	47.82	47.82	NUM
fumecheng-10575	181	97	52.66	52.66	NUM
fumecheng-10575	181	98	64.54	64.54	NUM
fumecheng-10575	181	99	58.77	58.77	NUM
fumecheng-10575	181	100	56.48	56.48	NUM
fumecheng-10575	181	101	57.93	57.93	NUM
fumecheng-10575	181	102	62.4	62.4	NUM
fumecheng-10575	181	103	batch	batch	NOUN
fumecheng-10575	181	104	8	8	NUM
fumecheng-10575	181	105	batches	batch	NOUN
fumecheng-10575	181	106	9	9	NUM
fumecheng-10575	181	107	-	-	SYM
fumecheng-10575	181	108	10	10	NUM
fumecheng-10575	181	109	39.06	39.06	NUM
fumecheng-10575	181	110	36.42	36.42	NUM
fumecheng-10575	181	111	47.76	47.76	NUM
fumecheng-10575	181	112	56.44	56.44	NUM
fumecheng-10575	181	113	47.84	47.84	NUM
fumecheng-10575	181	114	52.44	52.44	NUM
fumecheng-10575	181	115	50.79	50.79	NUM
fumecheng-10575	181	116	batch	batch	NOUN
fumecheng-10575	181	117	9	9	NUM
fumecheng-10575	181	118	batch	batch	NOUN
fumecheng-10575	181	119	10	10	NUM
fumecheng-10575	181	120	17.22	17.22	NUM
fumecheng-10575	181	121	15.36	15.36	NUM
fumecheng-10575	181	122	15.25	15.25	NUM
fumecheng-10575	181	123	13.83	13.83	NUM
fumecheng-10575	181	124	16.83	16.83	NUM
fumecheng-10575	181	125	14.19	14.19	NUM
fumecheng-10575	181	126	11.83	11.83	NUM
fumecheng-10575	181	127	table	table	NOUN
fumecheng-10575	181	128	6	6	NUM
fumecheng-10575	181	129	classification	classification	NOUN
fumecheng-10575	181	130	accuracies	accuracy	NOUN
fumecheng-10575	181	131	when	when	SCONJ
fumecheng-10575	181	132	trained	train	VERB
fumecheng-10575	181	133	on	on	ADP
fumecheng-10575	181	134	a	a	DET
fumecheng-10575	181	135	previous	previous	ADJ
fumecheng-10575	181	136	batch	batch	NOUN
fumecheng-10575	181	137	and	and	CCONJ
fumecheng-10575	181	138	tested	test	VERB
fumecheng-10575	181	139	only	only	ADV
fumecheng-10575	181	140	on	on	ADP
fumecheng-10575	181	141	the	the	DET
fumecheng-10575	181	142	subsequent	subsequent	ADJ
fumecheng-10575	181	143	batch	batch	NOUN
fumecheng-10575	181	144	–	–	PUNCT
fumecheng-10575	181	145	approach	approach	NOUN
fumecheng-10575	181	146	2	2	NUM
fumecheng-10575	181	147	training	training	NOUN
fumecheng-10575	181	148	batch	batch	NOUN
fumecheng-10575	181	149	test	test	NOUN
fumecheng-10575	181	150	batch	batch	NOUN
fumecheng-10575	181	151	classification	classification	NOUN
fumecheng-10575	181	152	accuracy	accuracy	NOUN
fumecheng-10575	181	153	(	(	PUNCT
fumecheng-10575	181	154	%	%	NOUN
fumecheng-10575	181	155	)	)	PUNCT
fumecheng-10575	181	156	ann	ann	PROPN
fumecheng-10575	181	157	knn	knn	PROPN
fumecheng-10575	181	158	svm	svm	PROPN
fumecheng-10575	181	159	rf	rf	NOUN
fumecheng-10575	181	160	bagging	bagging	NOUN
fumecheng-10575	181	161	(	(	PUNCT
fumecheng-10575	181	162	rf	rf	NOUN
fumecheng-10575	181	163	)	)	PUNCT
fumecheng-10575	181	164	vote	vote	NOUN
fumecheng-10575	181	165	(	(	PUNCT
fumecheng-10575	181	166	gbt	gbt	PROPN
fumecheng-10575	181	167	,	,	PUNCT
fumecheng-10575	181	168	rf	rf	NOUN
fumecheng-10575	181	169	)	)	PUNCT
fumecheng-10575	181	170	dt	dt	NOUN
fumecheng-10575	181	171	batch	batch	VERB
fumecheng-10575	181	172	1	1	NUM
fumecheng-10575	181	173	batch	batch	NOUN
fumecheng-10575	181	174	2	2	NUM
fumecheng-10575	181	175	45.42	45.42	NUM
fumecheng-10575	181	176	70.58	70.58	NUM
fumecheng-10575	181	177	53.62	53.62	NUM
fumecheng-10575	181	178	77.25	77.25	NUM
fumecheng-10575	181	179	74.36	74.36	NUM
fumecheng-10575	181	180	77.33	77.33	NUM
fumecheng-10575	181	181	76.29	76.29	NUM
fumecheng-10575	181	182	batch	batch	NOUN
fumecheng-10575	181	183	2	2	NUM
fumecheng-10575	181	184	batch	batch	NOUN
fumecheng-10575	181	185	3	3	NUM
fumecheng-10575	181	186	85.75	85.75	NUM
fumecheng-10575	181	187	91.55	91.55	NUM
fumecheng-10575	181	188	79.07	79.07	NUM
fumecheng-10575	181	189	91.42	91.42	NUM
fumecheng-10575	181	190	94.96	94.96	NUM
fumecheng-10575	181	191	88.91	88.91	NUM
fumecheng-10575	181	192	77.8	77.8	NUM
fumecheng-10575	181	193	batch	batch	NOUN
fumecheng-10575	181	194	3	3	NUM
fumecheng-10575	181	195	batch	batch	NOUN
fumecheng-10575	181	196	4	4	NUM
fumecheng-10575	181	197	61.49	61.49	NUM
fumecheng-10575	181	198	70.19	70.19	NUM
fumecheng-10575	181	199	67.7	67.7	NUM
fumecheng-10575	181	200	83.85	83.85	NUM
fumecheng-10575	181	201	81.99	81.99	NUM
fumecheng-10575	181	202	78.88	78.88	NUM
fumecheng-10575	181	203	80.12	80.12	NUM
fumecheng-10575	181	204	batch	batch	NOUN
fumecheng-10575	181	205	4	4	NUM
fumecheng-10575	181	206	batch	batch	NOUN
fumecheng-10575	181	207	5	5	NUM
fumecheng-10575	181	208	58.88	58.88	NUM
fumecheng-10575	181	209	50.25	50.25	NUM
fumecheng-10575	181	210	54.82	54.82	NUM
fumecheng-10575	181	211	89.34	89.34	NUM
fumecheng-10575	181	212	89.85	89.85	NUM
fumecheng-10575	181	213	93.4	93.4	NUM
fumecheng-10575	181	214	88.32	88.32	NUM
fumecheng-10575	181	215	batch	batch	NOUN
fumecheng-10575	181	216	5	5	NUM
fumecheng-10575	181	217	batch	batch	NOUN
fumecheng-10575	181	218	6	6	NUM
fumecheng-10575	181	219	57.3	57.3	NUM
fumecheng-10575	181	220	37.48	37.48	NUM
fumecheng-10575	181	221	67.96	67.96	NUM
fumecheng-10575	181	222	39.74	39.74	NUM
fumecheng-10575	181	223	38.57	38.57	NUM
fumecheng-10575	181	224	37.96	37.96	NUM
fumecheng-10575	181	225	37	37	NUM
fumecheng-10575	181	226	batch	batch	NOUN
fumecheng-10575	181	227	6	6	NUM
fumecheng-10575	181	228	batch	batch	NOUN
fumecheng-10575	181	229	7	7	NUM
fumecheng-10575	181	230	69.28	69.28	NUM
fumecheng-10575	181	231	74.4	74.4	NUM
fumecheng-10575	181	232	78.19	78.19	NUM
fumecheng-10575	181	233	74.31	74.31	NUM
fumecheng-10575	181	234	74.62	74.62	NUM
fumecheng-10575	181	235	71.52	71.52	NUM
fumecheng-10575	181	236	65.15	65.15	NUM
fumecheng-10575	181	237	batch	batch	NOUN
fumecheng-10575	181	238	7	7	NUM
fumecheng-10575	181	239	batch	batch	NOUN
fumecheng-10575	181	240	8	8	NUM
fumecheng-10575	181	241	89.12	89.12	NUM
fumecheng-10575	181	242	70.07	70.07	NUM
fumecheng-10575	181	243	92.86	92.86	NUM
fumecheng-10575	181	244	86.73	86.73	NUM
fumecheng-10575	181	245	83.33	83.33	NUM
fumecheng-10575	181	246	80.27	80.27	NUM
fumecheng-10575	181	247	66.67	66.67	NUM
fumecheng-10575	181	248	batch	batch	NOUN
fumecheng-10575	181	249	8	8	NUM
fumecheng-10575	181	250	batch	batch	NOUN
fumecheng-10575	181	251	9	9	NUM
fumecheng-10575	181	252	54.04	54.04	NUM
fumecheng-10575	181	253	48.51	48.51	NUM
fumecheng-10575	181	254	72.98	72.98	NUM
fumecheng-10575	181	255	92.98	92.98	NUM
fumecheng-10575	181	256	91.91	91.91	NUM
fumecheng-10575	181	257	86.38	86.38	NUM
fumecheng-10575	181	258	73.62	73.62	NUM
fumecheng-10575	181	259	batch	batch	NOUN
fumecheng-10575	181	260	9	9	NUM
fumecheng-10575	181	261	batch	batch	NOUN
fumecheng-10575	181	262	10	10	NUM
fumecheng-10575	181	263	17.22	17.22	NUM
fumecheng-10575	181	264	15.36	15.36	NUM
fumecheng-10575	181	265	15.25	15.25	NUM
fumecheng-10575	181	266	13.83	13.83	NUM
fumecheng-10575	181	267	14.19	14.19	NUM
fumecheng-10575	181	268	11.83	11.83	NUM
fumecheng-10575	181	269	16.83	16.83	NUM
fumecheng-10575	181	270	490	490	NUM
fumecheng-10575	181	271	l.	l.	PROPN
fumecheng-10575	181	272	mahmood	mahmood	PROPN
fumecheng-10575	181	273	,	,	PUNCT
fumecheng-10575	181	274	z.	z.	PROPN
fumecheng-10575	181	275	bahroun	bahroun	PROPN
fumecheng-10575	181	276	,	,	PUNCT
fumecheng-10575	181	277	m.	m.	NOUN
fumecheng-10575	181	278	ghommem	ghommem	PROPN
fumecheng-10575	181	279	,	,	PUNCT
fumecheng-10575	181	280	h.	h.	PROPN
fumecheng-10575	181	281	alshraideh	alshraideh	PROPN
fumecheng-10575	181	282	9	9	NUM
fumecheng-10575	181	283	cases	case	NOUN
fumecheng-10575	181	284	,	,	PUNCT
fumecheng-10575	181	285	which	which	PRON
fumecheng-10575	181	286	reflects	reflect	VERB
fumecheng-10575	181	287	their	their	PRON
fumecheng-10575	181	288	superior	superior	ADJ
fumecheng-10575	181	289	performance	performance	NOUN
fumecheng-10575	181	290	when	when	SCONJ
fumecheng-10575	181	291	compared	compare	VERB
fumecheng-10575	181	292	to	to	ADP
fumecheng-10575	181	293	the	the	DET
fumecheng-10575	181	294	svm	svm	PROPN
fumecheng-10575	181	295	classifier	classifier	NOUN
fumecheng-10575	181	296	,	,	PUNCT
fumecheng-10575	181	297	svm	svm	ADJ
fumecheng-10575	181	298	-	-	PUNCT
fumecheng-10575	181	299	based	base	VERB
fumecheng-10575	181	300	ensembles	ensemble	NOUN
fumecheng-10575	181	301	and	and	CCONJ
fumecheng-10575	181	302	the	the	DET
fumecheng-10575	181	303	pca	pca	NOUN
fumecheng-10575	181	304	models	model	NOUN
fumecheng-10575	181	305	implemented	implement	VERB
fumecheng-10575	181	306	in	in	ADP
fumecheng-10575	181	307	[	[	X
fumecheng-10575	181	308	19	19	NUM
fumecheng-10575	181	309	]	]	PUNCT
fumecheng-10575	181	310	.	.	PUNCT
fumecheng-10575	182	1	thus	thus	ADV
fumecheng-10575	182	2	,	,	PUNCT
fumecheng-10575	182	3	approach	approach	NOUN
fumecheng-10575	182	4	2	2	NUM
fumecheng-10575	182	5	indicates	indicate	VERB
fumecheng-10575	182	6	that	that	SCONJ
fumecheng-10575	182	7	the	the	DET
fumecheng-10575	182	8	most	most	ADV
fumecheng-10575	182	9	recent	recent	ADJ
fumecheng-10575	182	10	data	data	NOUN
fumecheng-10575	182	11	samples	sample	NOUN
fumecheng-10575	182	12	provide	provide	VERB
fumecheng-10575	182	13	a	a	DET
fumecheng-10575	182	14	better	well	ADJ
fumecheng-10575	182	15	prediction	prediction	NOUN
fumecheng-10575	182	16	for	for	ADP
fumecheng-10575	182	17	the	the	DET
fumecheng-10575	182	18	subsequent	subsequent	ADJ
fumecheng-10575	182	19	data	data	NOUN
fumecheng-10575	182	20	samples	sample	NOUN
fumecheng-10575	182	21	,	,	PUNCT
fumecheng-10575	182	22	thereby	thereby	ADV
fumecheng-10575	182	23	,	,	PUNCT
fumecheng-10575	182	24	helping	help	VERB
fumecheng-10575	182	25	in	in	ADP
fumecheng-10575	182	26	reducing	reduce	VERB
fumecheng-10575	182	27	the	the	DET
fumecheng-10575	182	28	impact	impact	NOUN
fumecheng-10575	182	29	of	of	ADP
fumecheng-10575	182	30	drift	drift	NOUN
fumecheng-10575	182	31	.	.	PUNCT
fumecheng-10575	183	1	as	as	ADP
fumecheng-10575	183	2	the	the	DET
fumecheng-10575	183	3	test	test	NOUN
fumecheng-10575	183	4	batch	batch	NOUN
fumecheng-10575	183	5	number	number	NOUN
fumecheng-10575	183	6	increases	increase	NOUN
fumecheng-10575	183	7	,	,	PUNCT
fumecheng-10575	183	8	impact	impact	NOUN
fumecheng-10575	183	9	of	of	ADP
fumecheng-10575	183	10	drift	drift	NOUN
fumecheng-10575	183	11	also	also	ADV
fumecheng-10575	183	12	increases	increase	VERB
fumecheng-10575	183	13	which	which	PRON
fumecheng-10575	183	14	further	far	ADV
fumecheng-10575	183	15	reduces	reduce	VERB
fumecheng-10575	183	16	the	the	DET
fumecheng-10575	183	17	classification	classification	NOUN
fumecheng-10575	183	18	accuracy	accuracy	NOUN
fumecheng-10575	183	19	.	.	PUNCT
fumecheng-10575	184	1	using	use	VERB
fumecheng-10575	184	2	feature	feature	NOUN
fumecheng-10575	184	3	selection	selection	NOUN
fumecheng-10575	184	4	or	or	CCONJ
fumecheng-10575	184	5	pca	pca	NOUN
fumecheng-10575	184	6	using	use	VERB
fumecheng-10575	184	7	4	4	NUM
fumecheng-10575	184	8	pcs	pc	NOUN
fumecheng-10575	184	9	,	,	PUNCT
fumecheng-10575	184	10	the	the	DET
fumecheng-10575	184	11	average	average	ADJ
fumecheng-10575	184	12	classification	classification	NOUN
fumecheng-10575	184	13	accuracy	accuracy	NOUN
fumecheng-10575	184	14	obtained	obtain	VERB
fumecheng-10575	184	15	for	for	ADP
fumecheng-10575	184	16	the	the	DET
fumecheng-10575	184	17	machine	machine	NOUN
fumecheng-10575	184	18	learning	learning	NOUN
fumecheng-10575	184	19	models	model	NOUN
fumecheng-10575	184	20	,	,	PUNCT
fumecheng-10575	184	21	either	either	CCONJ
fumecheng-10575	184	22	improved	improve	VERB
fumecheng-10575	184	23	slightly	slightly	ADV
fumecheng-10575	184	24	or	or	CCONJ
fumecheng-10575	184	25	remained	remain	VERB
fumecheng-10575	184	26	the	the	DET
fumecheng-10575	184	27	same	same	ADJ
fumecheng-10575	184	28	.	.	PUNCT
fumecheng-10575	185	1	many	many	ADJ
fumecheng-10575	185	2	classification	classification	NOUN
fumecheng-10575	185	3	accuracies	accuracy	NOUN
fumecheng-10575	185	4	especially	especially	ADV
fumecheng-10575	185	5	when	when	SCONJ
fumecheng-10575	185	6	testing	testing	NOUN
fumecheng-10575	185	7	batches	batch	VERB
fumecheng-10575	185	8	9	9	NUM
fumecheng-10575	185	9	-	-	SYM
fumecheng-10575	185	10	10	10	NUM
fumecheng-10575	185	11	and	and	CCONJ
fumecheng-10575	185	12	batch	batch	NOUN
fumecheng-10575	185	13	10	10	NUM
fumecheng-10575	185	14	remained	remain	VERB
fumecheng-10575	185	15	the	the	DET
fumecheng-10575	185	16	same	same	ADJ
fumecheng-10575	185	17	,	,	PUNCT
fumecheng-10575	185	18	indicating	indicate	VERB
fumecheng-10575	185	19	that	that	SCONJ
fumecheng-10575	185	20	their	their	PRON
fumecheng-10575	185	21	optimal	optimal	ADJ
fumecheng-10575	185	22	performance	performance	NOUN
fumecheng-10575	185	23	had	have	AUX
fumecheng-10575	185	24	already	already	ADV
fumecheng-10575	185	25	been	be	AUX
fumecheng-10575	185	26	achieved	achieve	VERB
fumecheng-10575	185	27	prior	prior	ADV
fumecheng-10575	185	28	to	to	ADP
fumecheng-10575	185	29	feature	feature	NOUN
fumecheng-10575	185	30	selection	selection	NOUN
fumecheng-10575	185	31	or	or	CCONJ
fumecheng-10575	185	32	pca	pca	NOUN
fumecheng-10575	185	33	.	.	PUNCT
fumecheng-10575	186	1	just	just	ADV
fumecheng-10575	186	2	like	like	VERB
fumecheng-10575	186	3	for	for	ADP
fumecheng-10575	186	4	regression	regression	NOUN
fumecheng-10575	186	5	,	,	PUNCT
fumecheng-10575	186	6	more	more	ADJ
fumecheng-10575	186	7	transient	transient	ADJ
fumecheng-10575	186	8	features	feature	NOUN
fumecheng-10575	186	9	were	be	AUX
fumecheng-10575	186	10	selected	select	VERB
fumecheng-10575	186	11	in	in	ADP
fumecheng-10575	186	12	sfs	sfs	PROPN
fumecheng-10575	186	13	(	(	PUNCT
fumecheng-10575	186	14	70	70	NUM
fumecheng-10575	186	15	%	%	NOUN
fumecheng-10575	186	16	transient	transient	NOUN
fumecheng-10575	186	17	features	feature	NOUN
fumecheng-10575	186	18	)	)	PUNCT
fumecheng-10575	186	19	,	,	PUNCT
fumecheng-10575	186	20	and	and	CCONJ
fumecheng-10575	186	21	a	a	DET
fumecheng-10575	186	22	higher	high	ADJ
fumecheng-10575	186	23	proportion	proportion	NOUN
fumecheng-10575	186	24	of	of	ADP
fumecheng-10575	186	25	transient	transient	ADJ
fumecheng-10575	186	26	features	feature	NOUN
fumecheng-10575	186	27	remained	remain	VERB
fumecheng-10575	186	28	after	after	ADP
fumecheng-10575	186	29	implementing	implement	VERB
fumecheng-10575	186	30	sbe	sbe	PROPN
fumecheng-10575	186	31	(	(	PUNCT
fumecheng-10575	186	32	76	76	NUM
fumecheng-10575	186	33	%	%	NOUN
fumecheng-10575	186	34	transient	transient	NOUN
fumecheng-10575	186	35	features	feature	NOUN
fumecheng-10575	186	36	)	)	PUNCT
fumecheng-10575	186	37	.	.	PUNCT
fumecheng-10575	187	1	a	a	DET
fumecheng-10575	187	2	similar	similar	ADJ
fumecheng-10575	187	3	observation	observation	NOUN
fumecheng-10575	187	4	was	be	AUX
fumecheng-10575	187	5	made	make	VERB
fumecheng-10575	187	6	by	by	ADP
fumecheng-10575	187	7	using	use	VERB
fumecheng-10575	187	8	filter	filter	NOUN
fumecheng-10575	187	9	-	-	PUNCT
fumecheng-10575	187	10	based	base	VERB
fumecheng-10575	187	11	feature	feature	NOUN
fumecheng-10575	187	12	selection	selection	NOUN
fumecheng-10575	187	13	to	to	PART
fumecheng-10575	187	14	determine	determine	VERB
fumecheng-10575	187	15	feature	feature	NOUN
fumecheng-10575	187	16	importance	importance	NOUN
fumecheng-10575	187	17	using	use	VERB
fumecheng-10575	187	18	weights	weight	NOUN
fumecheng-10575	187	19	.	.	PUNCT
fumecheng-10575	188	1	using	use	VERB
fumecheng-10575	188	2	gini	gini	PROPN
fumecheng-10575	188	3	index	index	PROPN
fumecheng-10575	188	4	,	,	PUNCT
fumecheng-10575	188	5	the	the	DET
fumecheng-10575	188	6	weights	weight	NOUN
fumecheng-10575	188	7	of	of	ADP
fumecheng-10575	188	8	the	the	DET
fumecheng-10575	188	9	top	top	ADJ
fumecheng-10575	188	10	30	30	NUM
fumecheng-10575	188	11	features	feature	NOUN
fumecheng-10575	188	12	are	be	AUX
fumecheng-10575	188	13	shown	show	VERB
fumecheng-10575	188	14	in	in	ADP
fumecheng-10575	188	15	fig	fig	NOUN
fumecheng-10575	188	16	.	.	PUNCT
fumecheng-10575	189	1	4	4	X
fumecheng-10575	189	2	.	.	X
fumecheng-10575	189	3	the	the	DET
fumecheng-10575	189	4	weights	weight	NOUN
fumecheng-10575	189	5	represented	represent	VERB
fumecheng-10575	189	6	in	in	ADP
fumecheng-10575	189	7	fig	fig	NOUN
fumecheng-10575	189	8	.	.	PUNCT
fumecheng-10575	190	1	4	4	NUM
fumecheng-10575	190	2	depict	depict	VERB
fumecheng-10575	190	3	the	the	DET
fumecheng-10575	190	4	decreasing	decrease	VERB
fumecheng-10575	190	5	order	order	NOUN
fumecheng-10575	190	6	of	of	ADP
fumecheng-10575	190	7	importance	importance	NOUN
fumecheng-10575	190	8	for	for	ADP
fumecheng-10575	190	9	the	the	DET
fumecheng-10575	190	10	features	feature	NOUN
fumecheng-10575	190	11	,	,	PUNCT
fumecheng-10575	190	12	where	where	SCONJ
fumecheng-10575	190	13	27	27	NUM
fumecheng-10575	190	14	%	%	NOUN
fumecheng-10575	190	15	of	of	ADP
fumecheng-10575	190	16	the	the	DET
fumecheng-10575	190	17	features	feature	NOUN
fumecheng-10575	190	18	represent	represent	VERB
fumecheng-10575	190	19	steady	steady	ADJ
fumecheng-10575	190	20	-	-	PUNCT
fumecheng-10575	190	21	state	state	NOUN
fumecheng-10575	190	22	features	feature	NOUN
fumecheng-10575	190	23	and	and	CCONJ
fumecheng-10575	190	24	73	73	NUM
fumecheng-10575	190	25	%	%	NOUN
fumecheng-10575	190	26	represent	represent	VERB
fumecheng-10575	190	27	transient	transient	ADJ
fumecheng-10575	190	28	features	feature	NOUN
fumecheng-10575	190	29	.	.	PUNCT
fumecheng-10575	191	1	with	with	ADP
fumecheng-10575	191	2	more	more	ADJ
fumecheng-10575	191	3	importance	importance	NOUN
fumecheng-10575	191	4	given	give	VERB
fumecheng-10575	191	5	to	to	ADP
fumecheng-10575	191	6	the	the	DET
fumecheng-10575	191	7	transient	transient	NOUN
fumecheng-10575	191	8	features	feature	NOUN
fumecheng-10575	191	9	,	,	PUNCT
fumecheng-10575	191	10	these	these	DET
fumecheng-10575	191	11	features	feature	NOUN
fumecheng-10575	191	12	were	be	AUX
fumecheng-10575	191	13	capable	capable	ADJ
fumecheng-10575	191	14	of	of	ADP
fumecheng-10575	191	15	capturing	capture	VERB
fumecheng-10575	191	16	more	more	ADJ
fumecheng-10575	191	17	information	information	NOUN
fumecheng-10575	191	18	from	from	ADP
fumecheng-10575	191	19	the	the	DET
fumecheng-10575	191	20	sensor	sensor	NOUN
fumecheng-10575	191	21	signals	signal	NOUN
fumecheng-10575	191	22	to	to	PART
fumecheng-10575	191	23	yield	yield	VERB
fumecheng-10575	191	24	good	good	ADJ
fumecheng-10575	191	25	prediction	prediction	NOUN
fumecheng-10575	191	26	results	result	NOUN
fumecheng-10575	191	27	.	.	PUNCT
fumecheng-10575	192	1	fig	fig	NOUN
fumecheng-10575	192	2	.	.	PUNCT
fumecheng-10575	193	1	4	4	NUM
fumecheng-10575	193	2	feature	feature	NOUN
fumecheng-10575	193	3	weights	weight	NOUN
fumecheng-10575	193	4	for	for	ADP
fumecheng-10575	193	5	top	top	ADJ
fumecheng-10575	193	6	30	30	NUM
fumecheng-10575	193	7	features	feature	NOUN
fumecheng-10575	193	8	in	in	ADP
fumecheng-10575	193	9	the	the	DET
fumecheng-10575	193	10	dataset	dataset	NOUN
fumecheng-10575	193	11	1	1	NUM
fumecheng-10575	193	12	the	the	DET
fumecheng-10575	193	13	impact	impact	NOUN
fumecheng-10575	193	14	of	of	ADP
fumecheng-10575	193	15	different	different	ADJ
fumecheng-10575	193	16	number	number	NOUN
fumecheng-10575	193	17	of	of	ADP
fumecheng-10575	193	18	features	feature	NOUN
fumecheng-10575	193	19	on	on	ADP
fumecheng-10575	193	20	the	the	DET
fumecheng-10575	193	21	classification	classification	NOUN
fumecheng-10575	193	22	accuracy	accuracy	NOUN
fumecheng-10575	193	23	is	be	AUX
fumecheng-10575	193	24	shown	show	VERB
fumecheng-10575	193	25	in	in	ADP
fumecheng-10575	193	26	fig	fig	NOUN
fumecheng-10575	193	27	.	.	PUNCT
fumecheng-10575	194	1	5	5	NUM
fumecheng-10575	194	2	,	,	PUNCT
fumecheng-10575	194	3	which	which	PRON
fumecheng-10575	194	4	shows	show	VERB
fumecheng-10575	194	5	the	the	DET
fumecheng-10575	194	6	average	average	ADJ
fumecheng-10575	194	7	classification	classification	NOUN
fumecheng-10575	194	8	accuracies	accuracy	NOUN
fumecheng-10575	194	9	for	for	ADP
fumecheng-10575	194	10	the	the	DET
fumecheng-10575	194	11	best	good	ADJ
fumecheng-10575	194	12	performing	performing	NOUN
fumecheng-10575	194	13	models	model	NOUN
fumecheng-10575	194	14	for	for	ADP
fumecheng-10575	194	15	training	training	NOUN
fumecheng-10575	194	16	batch	batch	NOUN
fumecheng-10575	194	17	1	1	NUM
fumecheng-10575	194	18	and	and	CCONJ
fumecheng-10575	194	19	testing	testing	NOUN
fumecheng-10575	194	20	batches	batch	VERB
fumecheng-10575	194	21	2	2	NUM
fumecheng-10575	194	22	-	-	SYM
fumecheng-10575	194	23	10	10	NUM
fumecheng-10575	194	24	.	.	PUNCT
fumecheng-10575	195	1	rf	rf	NOUN
fumecheng-10575	195	2	and	and	CCONJ
fumecheng-10575	195	3	bagging	bagging	NOUN
fumecheng-10575	195	4	using	use	VERB
fumecheng-10575	195	5	rf	rf	NOUN
fumecheng-10575	195	6	reach	reach	VERB
fumecheng-10575	195	7	their	their	PRON
fumecheng-10575	195	8	peak	peak	NOUN
fumecheng-10575	195	9	classification	classification	NOUN
fumecheng-10575	195	10	accuracies	accuracy	NOUN
fumecheng-10575	195	11	at	at	ADP
fumecheng-10575	195	12	the	the	DET
fumecheng-10575	195	13	top	top	ADJ
fumecheng-10575	195	14	40	40	NUM
fumecheng-10575	195	15	features	feature	NOUN
fumecheng-10575	195	16	,	,	PUNCT
fumecheng-10575	195	17	whereas	whereas	ADV
fumecheng-10575	195	18	,	,	PUNCT
fumecheng-10575	195	19	svm	svm	PROPN
fumecheng-10575	195	20	uses	use	VERB
fumecheng-10575	195	21	the	the	DET
fumecheng-10575	195	22	top	top	ADJ
fumecheng-10575	195	23	35	35	NUM
fumecheng-10575	195	24	features	feature	NOUN
fumecheng-10575	195	25	to	to	PART
fumecheng-10575	195	26	attain	attain	VERB
fumecheng-10575	195	27	the	the	DET
fumecheng-10575	195	28	highest	high	ADJ
fumecheng-10575	195	29	classification	classification	NOUN
fumecheng-10575	195	30	accuracy	accuracy	NOUN
fumecheng-10575	195	31	.	.	PUNCT
fumecheng-10575	196	1	on	on	ADP
fumecheng-10575	196	2	the	the	DET
fumecheng-10575	196	3	other	other	ADJ
fumecheng-10575	196	4	hand	hand	NOUN
fumecheng-10575	196	5	.	.	PUNCT
fumecheng-10575	197	1	knn	knn	PROPN
fumecheng-10575	197	2	,	,	PUNCT
fumecheng-10575	197	3	uses	use	VERB
fumecheng-10575	197	4	the	the	DET
fumecheng-10575	197	5	top	top	ADJ
fumecheng-10575	197	6	50	50	NUM
fumecheng-10575	197	7	features	feature	NOUN
fumecheng-10575	197	8	to	to	PART
fumecheng-10575	197	9	reach	reach	VERB
fumecheng-10575	197	10	its	its	PRON
fumecheng-10575	197	11	highest	high	ADJ
fumecheng-10575	197	12	accuracy	accuracy	NOUN
fumecheng-10575	197	13	.	.	PUNCT
fumecheng-10575	198	1	despite	despite	SCONJ
fumecheng-10575	198	2	the	the	DET
fumecheng-10575	198	3	different	different	ADJ
fumecheng-10575	198	4	number	number	NOUN
fumecheng-10575	198	5	of	of	ADP
fumecheng-10575	198	6	features	feature	NOUN
fumecheng-10575	198	7	used	use	VERB
fumecheng-10575	198	8	,	,	PUNCT
fumecheng-10575	198	9	it	it	PRON
fumecheng-10575	198	10	was	be	AUX
fumecheng-10575	198	11	evident	evident	ADJ
fumecheng-10575	198	12	that	that	SCONJ
fumecheng-10575	198	13	once	once	SCONJ
fumecheng-10575	198	14	the	the	DET
fumecheng-10575	198	15	peak	peak	NOUN
fumecheng-10575	198	16	classification	classification	NOUN
fumecheng-10575	198	17	accuracy	accuracy	NOUN
fumecheng-10575	198	18	is	be	AUX
fumecheng-10575	198	19	attained	attain	VERB
fumecheng-10575	198	20	by	by	ADP
fumecheng-10575	198	21	each	each	DET
fumecheng-10575	198	22	model	model	NOUN
fumecheng-10575	198	23	,	,	PUNCT
fumecheng-10575	198	24	the	the	DET
fumecheng-10575	198	25	accuracy	accuracy	NOUN
fumecheng-10575	198	26	begins	begin	VERB
fumecheng-10575	198	27	to	to	PART
fumecheng-10575	198	28	stabilize	stabilize	VERB
fumecheng-10575	198	29	and	and	CCONJ
fumecheng-10575	198	30	maintain	maintain	VERB
fumecheng-10575	198	31	a	a	DET
fumecheng-10575	198	32	nearly	nearly	ADV
fumecheng-10575	198	33	steady	steady	ADJ
fumecheng-10575	198	34	value	value	NOUN
fumecheng-10575	198	35	,	,	PUNCT
fumecheng-10575	198	36	with	with	ADP
fumecheng-10575	198	37	a	a	DET
fumecheng-10575	198	38	minimum	minimum	ADJ
fumecheng-10575	198	39	threshold	threshold	NOUN
fumecheng-10575	198	40	of	of	ADP
fumecheng-10575	198	41	30	30	NUM
fumecheng-10575	198	42	features	feature	NOUN
fumecheng-10575	198	43	.	.	PUNCT
fumecheng-10575	199	1	with	with	ADP
fumecheng-10575	199	2	at	at	ADV
fumecheng-10575	199	3	least	least	ADJ
fumecheng-10575	199	4	top	top	ADJ
fumecheng-10575	199	5	30	30	NUM
fumecheng-10575	199	6	highest	high	ADJ
fumecheng-10575	199	7	weighted	weight	VERB
fumecheng-10575	199	8	features	feature	NOUN
fumecheng-10575	199	9	,	,	PUNCT
fumecheng-10575	199	10	the	the	DET
fumecheng-10575	199	11	classification	classification	NOUN
fumecheng-10575	199	12	accuracy	accuracy	NOUN
fumecheng-10575	199	13	increased	increase	VERB
fumecheng-10575	199	14	,	,	PUNCT
fumecheng-10575	199	15	following	follow	VERB
fumecheng-10575	199	16	which	which	PRON
fumecheng-10575	199	17	it	it	PRON
fumecheng-10575	199	18	slowly	slowly	ADV
fumecheng-10575	199	19	waned	wane	VERB
fumecheng-10575	199	20	off	off	ADP
fumecheng-10575	199	21	to	to	PART
fumecheng-10575	199	22	provide	provide	VERB
fumecheng-10575	199	23	a	a	DET
fumecheng-10575	199	24	steadier	steady	ADJ
fumecheng-10575	199	25	value	value	NOUN
fumecheng-10575	199	26	.	.	PUNCT
fumecheng-10575	200	1	although	although	SCONJ
fumecheng-10575	200	2	,	,	PUNCT
fumecheng-10575	200	3	this	this	DET
fumecheng-10575	200	4	filter	filter	NOUN
fumecheng-10575	200	5	-	-	PUNCT
fumecheng-10575	200	6	based	base	VERB
fumecheng-10575	200	7	feature	feature	NOUN
fumecheng-10575	200	8	selection	selection	NOUN
fumecheng-10575	200	9	technique	technique	NOUN
fumecheng-10575	200	10	used	use	VERB
fumecheng-10575	200	11	a	a	DET
fumecheng-10575	200	12	different	different	ADJ
fumecheng-10575	200	13	approach	approach	NOUN
fumecheng-10575	200	14	to	to	PART
fumecheng-10575	200	15	identify	identify	VERB
fumecheng-10575	200	16	the	the	DET
fumecheng-10575	200	17	most	most	ADV
fumecheng-10575	200	18	relevant	relevant	ADJ
fumecheng-10575	200	19	features	feature	NOUN
fumecheng-10575	200	20	,	,	PUNCT
fumecheng-10575	200	21	the	the	DET
fumecheng-10575	200	22	results	result	NOUN
fumecheng-10575	200	23	remained	remain	VERB
fumecheng-10575	200	24	consistent	consistent	ADJ
fumecheng-10575	200	25	with	with	ADP
fumecheng-10575	200	26	those	those	PRON
fumecheng-10575	200	27	obtained	obtain	VERB
fumecheng-10575	200	28	earlier	early	ADV
fumecheng-10575	200	29	using	use	VERB
fumecheng-10575	200	30	sfs	sfs	PROPN
fumecheng-10575	200	31	and	and	CCONJ
fumecheng-10575	200	32	sbe	sbe	PROPN
fumecheng-10575	200	33	.	.	PROPN
fumecheng-10575	200	34	assessment	assessment	NOUN
fumecheng-10575	200	35	and	and	CCONJ
fumecheng-10575	200	36	performance	performance	NOUN
fumecheng-10575	200	37	analysis	analysis	NOUN
fumecheng-10575	200	38	of	of	ADP
fumecheng-10575	200	39	machine	machine	NOUN
fumecheng-10575	200	40	learning	learn	VERB
fumecheng-10575	200	41	techniques	technique	NOUN
fumecheng-10575	200	42	for	for	ADP
fumecheng-10575	200	43	gas	gas	NOUN
fumecheng-10575	200	44	sensing	sense	VERB
fumecheng-10575	200	45	e	e	NOUN
fumecheng-10575	200	46	-	-	NOUN
fumecheng-10575	200	47	nose	nose	NOUN
fumecheng-10575	200	48	...	...	PUNCT
fumecheng-10575	200	49	491	491	NUM
fumecheng-10575	200	50	fig	fig	NOUN
fumecheng-10575	200	51	.	.	PUNCT
fumecheng-10575	201	1	5	5	NUM
fumecheng-10575	201	2	average	average	ADJ
fumecheng-10575	201	3	classification	classification	NOUN
fumecheng-10575	201	4	accuracy	accuracy	NOUN
fumecheng-10575	201	5	using	use	VERB
fumecheng-10575	201	6	different	different	ADJ
fumecheng-10575	201	7	number	number	NOUN
fumecheng-10575	201	8	of	of	ADP
fumecheng-10575	201	9	features	feature	NOUN
fumecheng-10575	201	10	–	–	PUNCT
fumecheng-10575	201	11	dataset	dataset	VERB
fumecheng-10575	201	12	1	1	NUM
fumecheng-10575	201	13	3.2	3.2	NUM
fumecheng-10575	201	14	.	.	PUNCT
fumecheng-10575	202	1	dataset	dataset	VERB
fumecheng-10575	202	2	2	2	NUM
fumecheng-10575	202	3	–	–	PUNCT
fumecheng-10575	202	4	experimental	experimental	ADJ
fumecheng-10575	202	5	dataset	dataset	NOUN
fumecheng-10575	202	6	of	of	ADP
fumecheng-10575	202	7	four	four	NUM
fumecheng-10575	202	8	gases	gas	NOUN
fumecheng-10575	202	9	with	with	ADP
fumecheng-10575	202	10	varying	vary	VERB
fumecheng-10575	202	11	concentrations	concentration	NOUN
fumecheng-10575	202	12	the	the	DET
fumecheng-10575	202	13	following	follow	VERB
fumecheng-10575	202	14	dataset	dataset	NOUN
fumecheng-10575	202	15	was	be	AUX
fumecheng-10575	202	16	used	use	VERB
fumecheng-10575	202	17	for	for	ADP
fumecheng-10575	202	18	the	the	DET
fumecheng-10575	202	19	detection	detection	NOUN
fumecheng-10575	202	20	of	of	ADP
fumecheng-10575	202	21	four	four	NUM
fumecheng-10575	202	22	gases	gas	NOUN
fumecheng-10575	202	23	:	:	PUNCT
fumecheng-10575	202	24	ethylene	ethylene	NOUN
fumecheng-10575	202	25	(	(	PUNCT
fumecheng-10575	202	26	ey	ey	NOUN
fumecheng-10575	202	27	)	)	PUNCT
fumecheng-10575	202	28	,	,	PUNCT
fumecheng-10575	202	29	ethanol	ethanol	NOUN
fumecheng-10575	202	30	(	(	PUNCT
fumecheng-10575	202	31	ea	ea	NOUN
fumecheng-10575	202	32	)	)	PUNCT
fumecheng-10575	202	33	,	,	PUNCT
fumecheng-10575	202	34	carbon	carbon	NOUN
fumecheng-10575	202	35	monoxide	monoxide	NOUN
fumecheng-10575	202	36	(	(	PUNCT
fumecheng-10575	202	37	co	co	NOUN
fumecheng-10575	202	38	)	)	PUNCT
fumecheng-10575	202	39	and	and	CCONJ
fumecheng-10575	202	40	methane	methane	NOUN
fumecheng-10575	202	41	(	(	PUNCT
fumecheng-10575	202	42	me	i	PRON
fumecheng-10575	202	43	)	)	PUNCT
fumecheng-10575	202	44	.	.	PUNCT
fumecheng-10575	203	1	the	the	DET
fumecheng-10575	203	2	experiment	experiment	NOUN
fumecheng-10575	203	3	involved	involve	VERB
fumecheng-10575	203	4	testing	testing	NOUN
fumecheng-10575	203	5	for	for	ADP
fumecheng-10575	203	6	10	10	NUM
fumecheng-10575	203	7	different	different	ADJ
fumecheng-10575	203	8	concentrations	concentration	NOUN
fumecheng-10575	203	9	of	of	ADP
fumecheng-10575	203	10	each	each	DET
fumecheng-10575	203	11	analyte	analyte	NOUN
fumecheng-10575	203	12	over	over	ADP
fumecheng-10575	203	13	a	a	DET
fumecheng-10575	203	14	course	course	NOUN
fumecheng-10575	203	15	of	of	ADP
fumecheng-10575	203	16	22	22	NUM
fumecheng-10575	203	17	days	day	NOUN
fumecheng-10575	203	18	,	,	PUNCT
fumecheng-10575	203	19	resulting	result	VERB
fumecheng-10575	203	20	in	in	ADP
fumecheng-10575	203	21	a	a	DET
fumecheng-10575	203	22	total	total	NOUN
fumecheng-10575	203	23	of	of	ADP
fumecheng-10575	203	24	40	40	NUM
fumecheng-10575	203	25	different	different	ADJ
fumecheng-10575	203	26	concentrations	concentration	NOUN
fumecheng-10575	203	27	and	and	CCONJ
fumecheng-10575	203	28	640	640	NUM
fumecheng-10575	203	29	measurement	measurement	NOUN
fumecheng-10575	203	30	samples	sample	NOUN
fumecheng-10575	203	31	.	.	PUNCT
fumecheng-10575	204	1	the	the	DET
fumecheng-10575	204	2	experiment	experiment	NOUN
fumecheng-10575	204	3	used	use	VERB
fumecheng-10575	204	4	eight	eight	NUM
fumecheng-10575	204	5	mox	mox	NOUN
fumecheng-10575	204	6	sensors	sensor	NOUN
fumecheng-10575	204	7	in	in	ADP
fumecheng-10575	204	8	the	the	DET
fumecheng-10575	204	9	gsas	gsa	NOUN
fumecheng-10575	204	10	referred	refer	VERB
fumecheng-10575	204	11	to	to	ADP
fumecheng-10575	204	12	as	as	ADP
fumecheng-10575	204	13	chemical	chemical	NOUN
fumecheng-10575	204	14	detection	detection	NOUN
fumecheng-10575	204	15	platforms	platform	NOUN
fumecheng-10575	204	16	(	(	PUNCT
fumecheng-10575	204	17	boards	board	NOUN
fumecheng-10575	204	18	)	)	PUNCT
fumecheng-10575	204	19	.	.	PUNCT
fumecheng-10575	205	1	varying	vary	VERB
fumecheng-10575	205	2	responses	response	NOUN
fumecheng-10575	205	3	for	for	ADP
fumecheng-10575	205	4	each	each	DET
fumecheng-10575	205	5	gas	gas	NOUN
fumecheng-10575	205	6	and	and	CCONJ
fumecheng-10575	205	7	its	its	PRON
fumecheng-10575	205	8	concentration	concentration	NOUN
fumecheng-10575	205	9	were	be	AUX
fumecheng-10575	205	10	obtained	obtain	VERB
fumecheng-10575	205	11	using	use	VERB
fumecheng-10575	205	12	five	five	NUM
fumecheng-10575	205	13	identical	identical	ADJ
fumecheng-10575	205	14	boards	board	NOUN
fumecheng-10575	205	15	,	,	PUNCT
fumecheng-10575	205	16	with	with	ADP
fumecheng-10575	205	17	any	any	DET
fumecheng-10575	205	18	variability	variability	NOUN
fumecheng-10575	205	19	eliminated	eliminate	VERB
fumecheng-10575	205	20	by	by	ADP
fumecheng-10575	205	21	maintaining	maintain	VERB
fumecheng-10575	205	22	the	the	DET
fumecheng-10575	205	23	same	same	ADJ
fumecheng-10575	205	24	configuration	configuration	NOUN
fumecheng-10575	205	25	in	in	ADP
fumecheng-10575	205	26	all	all	DET
fumecheng-10575	205	27	five	five	NUM
fumecheng-10575	205	28	boards	board	NOUN
fumecheng-10575	205	29	.	.	PUNCT
fumecheng-10575	206	1	further	further	ADJ
fumecheng-10575	206	2	details	detail	NOUN
fumecheng-10575	206	3	pertaining	pertain	VERB
fumecheng-10575	206	4	to	to	ADP
fumecheng-10575	206	5	the	the	DET
fumecheng-10575	206	6	experimental	experimental	ADJ
fumecheng-10575	206	7	procedure	procedure	NOUN
fumecheng-10575	206	8	can	can	AUX
fumecheng-10575	206	9	be	be	AUX
fumecheng-10575	206	10	found	find	VERB
fumecheng-10575	206	11	in	in	ADP
fumecheng-10575	206	12	the	the	DET
fumecheng-10575	206	13	work	work	NOUN
fumecheng-10575	206	14	of	of	ADP
fumecheng-10575	206	15	fonollosa	fonollosa	PROPN
fumecheng-10575	206	16	et	et	PROPN
fumecheng-10575	206	17	al	al	PROPN
fumecheng-10575	206	18	.	.	PUNCT
fumecheng-10575	207	1	[	[	X
fumecheng-10575	207	2	18	18	NUM
fumecheng-10575	207	3	]	]	PUNCT
fumecheng-10575	207	4	.	.	PUNCT
fumecheng-10575	208	1	the	the	DET
fumecheng-10575	208	2	signals	signal	NOUN
fumecheng-10575	208	3	acquired	acquire	VERB
fumecheng-10575	208	4	from	from	ADP
fumecheng-10575	208	5	the	the	DET
fumecheng-10575	208	6	eight	eight	NUM
fumecheng-10575	208	7	sensors	sensor	NOUN
fumecheng-10575	208	8	in	in	ADP
fumecheng-10575	208	9	a	a	DET
fumecheng-10575	208	10	given	give	VERB
fumecheng-10575	208	11	board	board	NOUN
fumecheng-10575	208	12	across	across	ADP
fumecheng-10575	208	13	different	different	ADJ
fumecheng-10575	208	14	days	day	NOUN
fumecheng-10575	208	15	,	,	PUNCT
fumecheng-10575	208	16	as	as	SCONJ
fumecheng-10575	208	17	reported	report	VERB
fumecheng-10575	208	18	in	in	ADP
fumecheng-10575	208	19	[	[	X
fumecheng-10575	208	20	18	18	NUM
fumecheng-10575	208	21	]	]	PUNCT
fumecheng-10575	208	22	,	,	PUNCT
fumecheng-10575	208	23	are	be	AUX
fumecheng-10575	208	24	displayed	display	VERB
fumecheng-10575	208	25	in	in	ADP
fumecheng-10575	208	26	fig	fig	NOUN
fumecheng-10575	208	27	.	.	PUNCT
fumecheng-10575	209	1	6	6	NUM
fumecheng-10575	209	2	.	.	X
fumecheng-10575	209	3	all	all	DET
fumecheng-10575	209	4	the	the	DET
fumecheng-10575	209	5	sensors	sensor	NOUN
fumecheng-10575	209	6	follow	follow	VERB
fumecheng-10575	209	7	a	a	DET
fumecheng-10575	209	8	similar	similar	ADJ
fumecheng-10575	209	9	trend	trend	NOUN
fumecheng-10575	209	10	during	during	ADP
fumecheng-10575	209	11	the	the	DET
fumecheng-10575	209	12	initial	initial	ADJ
fumecheng-10575	209	13	phase	phase	NOUN
fumecheng-10575	209	14	(	(	PUNCT
fumecheng-10575	209	15	i	i	NOUN
fumecheng-10575	209	16	)	)	PUNCT
fumecheng-10575	209	17	for	for	ADP
fumecheng-10575	209	18	50s	50	NOUN
fumecheng-10575	209	19	,	,	PUNCT
fumecheng-10575	209	20	exposure	exposure	NOUN
fumecheng-10575	209	21	phase	phase	NOUN
fumecheng-10575	209	22	(	(	PUNCT
fumecheng-10575	209	23	e	e	NOUN
fumecheng-10575	209	24	)	)	PUNCT
fumecheng-10575	209	25	for	for	ADP
fumecheng-10575	209	26	100s	100s	PROPN
fumecheng-10575	209	27	and	and	CCONJ
fumecheng-10575	209	28	the	the	DET
fumecheng-10575	209	29	recovery	recovery	NOUN
fumecheng-10575	209	30	phase	phase	NOUN
fumecheng-10575	209	31	(	(	PUNCT
fumecheng-10575	209	32	r	r	NOUN
fumecheng-10575	209	33	)	)	PUNCT
fumecheng-10575	209	34	for	for	ADP
fumecheng-10575	209	35	450s	450s	PROPN
fumecheng-10575	209	36	.	.	PUNCT
fumecheng-10575	210	1	the	the	DET
fumecheng-10575	210	2	exposure	exposure	NOUN
fumecheng-10575	210	3	phase	phase	NOUN
fumecheng-10575	210	4	can	can	AUX
fumecheng-10575	210	5	be	be	AUX
fumecheng-10575	210	6	easily	easily	ADV
fumecheng-10575	210	7	identified	identify	VERB
fumecheng-10575	210	8	by	by	ADP
fumecheng-10575	210	9	the	the	DET
fumecheng-10575	210	10	dip	dip	NOUN
fumecheng-10575	210	11	in	in	ADP
fumecheng-10575	210	12	the	the	DET
fumecheng-10575	210	13	sensor	sensor	NOUN
fumecheng-10575	210	14	response	response	NOUN
fumecheng-10575	210	15	when	when	SCONJ
fumecheng-10575	210	16	being	be	AUX
fumecheng-10575	210	17	exposed	expose	VERB
fumecheng-10575	210	18	to	to	ADP
fumecheng-10575	210	19	the	the	DET
fumecheng-10575	210	20	target	target	NOUN
fumecheng-10575	210	21	gas	gas	NOUN
fumecheng-10575	210	22	and	and	CCONJ
fumecheng-10575	210	23	it	it	PRON
fumecheng-10575	210	24	is	be	AUX
fumecheng-10575	210	25	quite	quite	ADV
fumecheng-10575	210	26	evident	evident	ADJ
fumecheng-10575	210	27	that	that	SCONJ
fumecheng-10575	210	28	the	the	DET
fumecheng-10575	210	29	sensors	sensor	NOUN
fumecheng-10575	210	30	render	render	VERB
fumecheng-10575	210	31	slightly	slightly	ADV
fumecheng-10575	210	32	varied	varied	ADJ
fumecheng-10575	210	33	responses	response	NOUN
fumecheng-10575	210	34	on	on	ADP
fumecheng-10575	210	35	different	different	ADJ
fumecheng-10575	210	36	days	day	NOUN
fumecheng-10575	210	37	.	.	PUNCT
fumecheng-10575	211	1	this	this	PRON
fumecheng-10575	211	2	can	can	AUX
fumecheng-10575	211	3	be	be	AUX
fumecheng-10575	211	4	seen	see	VERB
fumecheng-10575	211	5	in	in	ADP
fumecheng-10575	211	6	fig	fig	NOUN
fumecheng-10575	211	7	.	.	PUNCT
fumecheng-10575	212	1	6	6	NUM
fumecheng-10575	212	2	,	,	PUNCT
fumecheng-10575	212	3	wherein	wherein	ADJ
fumecheng-10575	212	4	,	,	PUNCT
fumecheng-10575	212	5	the	the	DET
fumecheng-10575	212	6	stable	stable	ADJ
fumecheng-10575	212	7	response	response	NOUN
fumecheng-10575	212	8	of	of	ADP
fumecheng-10575	212	9	each	each	DET
fumecheng-10575	212	10	fig	fig	NOUN
fumecheng-10575	212	11	.	.	PUNCT
fumecheng-10575	213	1	6	6	NUM
fumecheng-10575	213	2	sensor	sensor	NOUN
fumecheng-10575	213	3	signals	signal	NOUN
fumecheng-10575	213	4	acquired	acquire	VERB
fumecheng-10575	213	5	for	for	ADP
fumecheng-10575	213	6	detecting	detect	VERB
fumecheng-10575	213	7	62.5	62.5	NUM
fumecheng-10575	213	8	ppm	ppm	NOUN
fumecheng-10575	213	9	of	of	ADP
fumecheng-10575	213	10	ethylene	ethylene	NOUN
fumecheng-10575	213	11	on	on	ADP
fumecheng-10575	213	12	board	board	NOUN
fumecheng-10575	213	13	1	1	NUM
fumecheng-10575	213	14	,	,	PUNCT
fumecheng-10575	213	15	on	on	ADP
fumecheng-10575	213	16	day	day	NOUN
fumecheng-10575	213	17	4	4	NUM
fumecheng-10575	213	18	and	and	CCONJ
fumecheng-10575	213	19	day	day	NOUN
fumecheng-10575	213	20	21	21	NUM
fumecheng-10575	213	21	492	492	NUM
fumecheng-10575	213	22	l.	l.	PROPN
fumecheng-10575	213	23	mahmood	mahmood	PROPN
fumecheng-10575	213	24	,	,	PUNCT
fumecheng-10575	213	25	z.	z.	PROPN
fumecheng-10575	213	26	bahroun	bahroun	PROPN
fumecheng-10575	213	27	,	,	PUNCT
fumecheng-10575	213	28	m.	m.	NOUN
fumecheng-10575	213	29	ghommem	ghommem	PROPN
fumecheng-10575	213	30	,	,	PUNCT
fumecheng-10575	213	31	h.	h.	PROPN
fumecheng-10575	213	32	alshraideh	alshraideh	PROPN
fumecheng-10575	213	33	sensor	sensor	PROPN
fumecheng-10575	213	34	on	on	ADP
fumecheng-10575	213	35	board	board	NOUN
fumecheng-10575	213	36	1	1	NUM
fumecheng-10575	213	37	varies	vary	VERB
fumecheng-10575	213	38	from	from	ADP
fumecheng-10575	213	39	day	day	NOUN
fumecheng-10575	213	40	4	4	NUM
fumecheng-10575	213	41	to	to	ADP
fumecheng-10575	213	42	day	day	NOUN
fumecheng-10575	213	43	21	21	NUM
fumecheng-10575	213	44	for	for	ADP
fumecheng-10575	213	45	ethylene	ethylene	NOUN
fumecheng-10575	213	46	.	.	PUNCT
fumecheng-10575	214	1	despite	despite	SCONJ
fumecheng-10575	214	2	testing	test	VERB
fumecheng-10575	214	3	the	the	DET
fumecheng-10575	214	4	same	same	ADJ
fumecheng-10575	214	5	board	board	NOUN
fumecheng-10575	214	6	over	over	ADP
fumecheng-10575	214	7	different	different	ADJ
fumecheng-10575	214	8	days	day	NOUN
fumecheng-10575	214	9	,	,	PUNCT
fumecheng-10575	214	10	the	the	DET
fumecheng-10575	214	11	variability	variability	NOUN
fumecheng-10575	214	12	in	in	ADP
fumecheng-10575	214	13	the	the	DET
fumecheng-10575	214	14	sensor	sensor	NOUN
fumecheng-10575	214	15	responses	response	NOUN
fumecheng-10575	214	16	can	can	AUX
fumecheng-10575	214	17	be	be	AUX
fumecheng-10575	214	18	attributed	attribute	VERB
fumecheng-10575	214	19	to	to	ADP
fumecheng-10575	214	20	drift	drift	NOUN
fumecheng-10575	214	21	,	,	PUNCT
fumecheng-10575	214	22	which	which	PRON
fumecheng-10575	214	23	could	could	AUX
fumecheng-10575	214	24	be	be	AUX
fumecheng-10575	214	25	a	a	DET
fumecheng-10575	214	26	consequence	consequence	NOUN
fumecheng-10575	214	27	of	of	ADP
fumecheng-10575	214	28	external	external	ADJ
fumecheng-10575	214	29	factors	factor	NOUN
fumecheng-10575	214	30	.	.	PUNCT
fumecheng-10575	215	1	3.2.1	3.2.1	NUM
fumecheng-10575	215	2	.	.	X
fumecheng-10575	215	3	methodology	methodology	NOUN
fumecheng-10575	215	4	as	as	ADP
fumecheng-10575	215	5	an	an	DET
fumecheng-10575	215	6	initial	initial	ADJ
fumecheng-10575	215	7	step	step	NOUN
fumecheng-10575	215	8	,	,	PUNCT
fumecheng-10575	215	9	signal	signal	VERB
fumecheng-10575	215	10	pre	pre	ADJ
fumecheng-10575	215	11	-	-	ADJ
fumecheng-10575	215	12	processing	processing	ADJ
fumecheng-10575	215	13	using	use	VERB
fumecheng-10575	215	14	weighted	weight	VERB
fumecheng-10575	215	15	moving	move	VERB
fumecheng-10575	215	16	average	average	NOUN
fumecheng-10575	215	17	was	be	AUX
fumecheng-10575	215	18	performed	perform	VERB
fumecheng-10575	215	19	to	to	PART
fumecheng-10575	215	20	eliminate	eliminate	VERB
fumecheng-10575	215	21	noise	noise	NOUN
fumecheng-10575	215	22	levels	level	NOUN
fumecheng-10575	215	23	from	from	ADP
fumecheng-10575	215	24	the	the	DET
fumecheng-10575	215	25	signals	signal	NOUN
fumecheng-10575	215	26	.	.	PUNCT
fumecheng-10575	216	1	weighted	weight	VERB
fumecheng-10575	216	2	moving	move	VERB
fumecheng-10575	216	3	average	average	NOUN
fumecheng-10575	216	4	is	be	AUX
fumecheng-10575	216	5	the	the	DET
fumecheng-10575	216	6	most	most	ADV
fumecheng-10575	216	7	common	common	ADJ
fumecheng-10575	216	8	filter	filter	NOUN
fumecheng-10575	216	9	used	use	VERB
fumecheng-10575	216	10	for	for	ADP
fumecheng-10575	216	11	signal	signal	NOUN
fumecheng-10575	216	12	noise	noise	NOUN
fumecheng-10575	216	13	processing	processing	NOUN
fumecheng-10575	216	14	[	[	X
fumecheng-10575	216	15	35,36	35,36	NUM
fumecheng-10575	216	16	]	]	PUNCT
fumecheng-10575	216	17	,	,	PUNCT
fumecheng-10575	216	18	which	which	PRON
fumecheng-10575	216	19	despite	despite	SCONJ
fumecheng-10575	216	20	its	its	PRON
fumecheng-10575	216	21	simplicity	simplicity	NOUN
fumecheng-10575	216	22	,	,	PUNCT
fumecheng-10575	216	23	renders	render	VERB
fumecheng-10575	216	24	a	a	DET
fumecheng-10575	216	25	highattenuation	highattenuation	NOUN
fumecheng-10575	216	26	ability	ability	NOUN
fumecheng-10575	216	27	,	,	PUNCT
fumecheng-10575	216	28	by	by	ADP
fumecheng-10575	216	29	reducing	reduce	VERB
fumecheng-10575	216	30	noise	noise	NOUN
fumecheng-10575	216	31	while	while	SCONJ
fumecheng-10575	216	32	retaining	retain	VERB
fumecheng-10575	216	33	the	the	DET
fumecheng-10575	216	34	shape	shape	NOUN
fumecheng-10575	216	35	of	of	ADP
fumecheng-10575	216	36	the	the	DET
fumecheng-10575	216	37	signal	signal	NOUN
fumecheng-10575	216	38	.	.	PUNCT
fumecheng-10575	217	1	given	give	VERB
fumecheng-10575	217	2	the	the	DET
fumecheng-10575	217	3	sensor	sensor	NOUN
fumecheng-10575	217	4	responses	response	NOUN
fumecheng-10575	217	5	from	from	ADP
fumecheng-10575	217	6	the	the	DET
fumecheng-10575	217	7	five	five	NUM
fumecheng-10575	217	8	boards	board	NOUN
fumecheng-10575	217	9	,	,	PUNCT
fumecheng-10575	217	10	two	two	NUM
fumecheng-10575	217	11	main	main	ADJ
fumecheng-10575	217	12	window	window	NOUN
fumecheng-10575	217	13	lengths	length	NOUN
fumecheng-10575	217	14	of	of	ADP
fumecheng-10575	217	15	5	5	NUM
fumecheng-10575	217	16	and	and	CCONJ
fumecheng-10575	217	17	10	10	NUM
fumecheng-10575	217	18	were	be	AUX
fumecheng-10575	217	19	used	use	VERB
fumecheng-10575	217	20	for	for	ADP
fumecheng-10575	217	21	noise	noise	NOUN
fumecheng-10575	217	22	removal	removal	NOUN
fumecheng-10575	217	23	,	,	PUNCT
fumecheng-10575	217	24	where	where	SCONJ
fumecheng-10575	217	25	fig	fig	NOUN
fumecheng-10575	217	26	.	.	PUNCT
fumecheng-10575	218	1	7	7	NUM
fumecheng-10575	218	2	shows	show	VERB
fumecheng-10575	218	3	the	the	DET
fumecheng-10575	218	4	impact	impact	NOUN
fumecheng-10575	218	5	of	of	ADP
fumecheng-10575	218	6	using	use	VERB
fumecheng-10575	218	7	weighted	weight	VERB
fumecheng-10575	218	8	moving	move	VERB
fumecheng-10575	218	9	average	average	NOUN
fumecheng-10575	218	10	with	with	ADP
fumecheng-10575	218	11	a	a	DET
fumecheng-10575	218	12	window	window	NOUN
fumecheng-10575	218	13	length	length	NOUN
fumecheng-10575	218	14	of	of	ADP
fumecheng-10575	218	15	5	5	NUM
fumecheng-10575	218	16	on	on	ADP
fumecheng-10575	218	17	sensors	sensor	NOUN
fumecheng-10575	218	18	1	1	NUM
fumecheng-10575	218	19	and	and	CCONJ
fumecheng-10575	218	20	3	3	NUM
fumecheng-10575	218	21	from	from	ADP
fumecheng-10575	218	22	board	board	NOUN
fumecheng-10575	218	23	1	1	NUM
fumecheng-10575	218	24	,	,	PUNCT
fumecheng-10575	218	25	for	for	ADP
fumecheng-10575	218	26	the	the	DET
fumecheng-10575	218	27	detection	detection	NOUN
fumecheng-10575	218	28	of	of	ADP
fumecheng-10575	218	29	12.5ppm	12.5ppm	NUM
fumecheng-10575	218	30	of	of	ADP
fumecheng-10575	218	31	ethanol	ethanol	NOUN
fumecheng-10575	218	32	.	.	PUNCT
fumecheng-10575	219	1	fig	fig	NOUN
fumecheng-10575	219	2	.	.	PUNCT
fumecheng-10575	220	1	7	7	NUM
fumecheng-10575	220	2	implementation	implementation	NOUN
fumecheng-10575	220	3	of	of	ADP
fumecheng-10575	220	4	weighted	weighted	ADJ
fumecheng-10575	220	5	moving	move	VERB
fumecheng-10575	220	6	average	average	NOUN
fumecheng-10575	220	7	on	on	ADP
fumecheng-10575	220	8	sensor	sensor	NOUN
fumecheng-10575	220	9	signals	signal	NOUN
fumecheng-10575	220	10	from	from	ADP
fumecheng-10575	220	11	sensor	sensor	NOUN
fumecheng-10575	220	12	1	1	NUM
fumecheng-10575	220	13	and	and	CCONJ
fumecheng-10575	220	14	3	3	NUM
fumecheng-10575	220	15	on	on	ADP
fumecheng-10575	220	16	board	board	NOUN
fumecheng-10575	220	17	2	2	NUM
fumecheng-10575	220	18	and	and	CCONJ
fumecheng-10575	220	19	day	day	NOUN
fumecheng-10575	220	20	1	1	NUM
fumecheng-10575	220	21	for	for	ADP
fumecheng-10575	220	22	12.5	12.5	NUM
fumecheng-10575	220	23	ppm	ppm	NOUN
fumecheng-10575	220	24	of	of	ADP
fumecheng-10575	220	25	ethanol	ethanol	NOUN
fumecheng-10575	220	26	following	follow	VERB
fumecheng-10575	220	27	the	the	DET
fumecheng-10575	220	28	pre	pre	NOUN
fumecheng-10575	220	29	-	-	ADJ
fumecheng-10575	220	30	processing	processing	ADJ
fumecheng-10575	220	31	,	,	PUNCT
fumecheng-10575	220	32	relevant	relevant	ADJ
fumecheng-10575	220	33	signal	signal	NOUN
fumecheng-10575	220	34	characteristics	characteristic	NOUN
fumecheng-10575	220	35	were	be	AUX
fumecheng-10575	220	36	extracted	extract	VERB
fumecheng-10575	220	37	from	from	ADP
fumecheng-10575	220	38	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	220	39	+	+	CCONJ
fumecheng-10575	220	40	∆𝑥	∆𝑥	NOUN
fumecheng-10575	220	41	]	]	PUNCT
fumecheng-10575	220	42	that	that	PRON
fumecheng-10575	220	43	represents	represent	VERB
fumecheng-10575	220	44	the	the	DET
fumecheng-10575	220	45	sensor	sensor	NOUN
fumecheng-10575	220	46	resistance	resistance	NOUN
fumecheng-10575	220	47	,	,	PUNCT
fumecheng-10575	220	48	with	with	ADP
fumecheng-10575	220	49	𝑘	𝑘	PRON
fumecheng-10575	220	50	as	as	ADP
fumecheng-10575	220	51	the	the	DET
fumecheng-10575	220	52	discrete	discrete	ADJ
fumecheng-10575	220	53	time	time	NOUN
fumecheng-10575	220	54	-	-	PUNCT
fumecheng-10575	220	55	step	step	NOUN
fumecheng-10575	220	56	,	,	PUNCT
fumecheng-10575	220	57	where	where	SCONJ
fumecheng-10575	220	58	𝑘	𝑘	PRON
fumecheng-10575	220	59	∈	∈	PROPN
fumecheng-10575	221	1	[	[	X
fumecheng-10575	221	2	0,600	0,600	NUM
fumecheng-10575	221	3	]	]	PUNCT
fumecheng-10575	221	4	and	and	CCONJ
fumecheng-10575	221	5	∆𝑥	∆𝑥	PROPN
fumecheng-10575	221	6	is	be	AUX
fumecheng-10575	221	7	used	use	VERB
fumecheng-10575	221	8	to	to	PART
fumecheng-10575	221	9	indicate	indicate	VERB
fumecheng-10575	221	10	any	any	DET
fumecheng-10575	221	11	incremental	incremental	ADJ
fumecheng-10575	221	12	change	change	NOUN
fumecheng-10575	221	13	in	in	ADP
fumecheng-10575	221	14	the	the	DET
fumecheng-10575	221	15	time	time	NOUN
fumecheng-10575	221	16	-	-	PUNCT
fumecheng-10575	221	17	step	step	NOUN
fumecheng-10575	221	18	.	.	PUNCT
fumecheng-10575	222	1	the	the	DET
fumecheng-10575	222	2	signal	signal	PROPN
fumecheng-10575	222	3	characteristics	characteristic	NOUN
fumecheng-10575	222	4	extracted	extract	VERB
fumecheng-10575	222	5	from	from	ADP
fumecheng-10575	222	6	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	222	7	+	+	CCONJ
fumecheng-10575	222	8	∆𝑥	∆𝑥	NOUN
fumecheng-10575	222	9	]	]	PUNCT
fumecheng-10575	222	10	in	in	ADP
fumecheng-10575	222	11	this	this	DET
fumecheng-10575	222	12	work	work	NOUN
fumecheng-10575	222	13	are	be	AUX
fumecheng-10575	222	14	discussed	discuss	VERB
fumecheng-10575	222	15	below	below	ADV
fumecheng-10575	222	16	:	:	PUNCT
fumecheng-10575	222	17	drop	drop	VERB
fumecheng-10575	222	18	value	value	NOUN
fumecheng-10575	222	19	as	as	SCONJ
fumecheng-10575	222	20	the	the	DET
fumecheng-10575	222	21	signal	signal	ADJ
fumecheng-10575	222	22	transitions	transition	NOUN
fumecheng-10575	222	23	from	from	ADP
fumecheng-10575	222	24	the	the	DET
fumecheng-10575	222	25	initial	initial	NOUN
fumecheng-10575	222	26	to	to	ADP
fumecheng-10575	222	27	the	the	DET
fumecheng-10575	222	28	exposure	exposure	NOUN
fumecheng-10575	222	29	phase	phase	NOUN
fumecheng-10575	222	30	is	be	AUX
fumecheng-10575	222	31	given	give	VERB
fumecheng-10575	222	32	as	as	ADP
fumecheng-10575	222	33	,	,	PUNCT
fumecheng-10575	222	34	𝒅𝒓𝒐𝒑	𝒅𝒓𝒐𝒑	ADJ
fumecheng-10575	222	35	=	=	PUNCT
fumecheng-10575	222	36	𝑎𝑣𝑔	𝑎𝑣𝑔	VERB
fumecheng-10575	222	37	𝑘=0,1,	𝑘=0,1,	NOUN
fumecheng-10575	222	38	…	…	SYM
fumecheng-10575	222	39	50	50	NUM
fumecheng-10575	222	40	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	222	41	+	+	CCONJ
fumecheng-10575	222	42	∆𝑥	∆𝑥	NOUN
fumecheng-10575	222	43	]	]	X
fumecheng-10575	222	44	−	−	PROPN
fumecheng-10575	222	45	𝑎𝑣𝑔	𝑎𝑣𝑔	VERB
fumecheng-10575	222	46	𝑘=51,52,	𝑘=51,52,	NOUN
fumecheng-10575	222	47	…	…	SYM
fumecheng-10575	222	48	150	150	NUM
fumecheng-10575	222	49	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	222	50	+	+	CCONJ
fumecheng-10575	222	51	∆𝑥	∆𝑥	NOUN
fumecheng-10575	222	52	]	]	X
fumecheng-10575	222	53	(	(	PUNCT
fumecheng-10575	222	54	1	1	NUM
fumecheng-10575	222	55	)	)	PUNCT
fumecheng-10575	222	56	whereas	whereas	ADV
fumecheng-10575	222	57	,	,	PUNCT
fumecheng-10575	222	58	the	the	DET
fumecheng-10575	222	59	transition	transition	NOUN
fumecheng-10575	222	60	rate	rate	NOUN
fumecheng-10575	222	61	is	be	AUX
fumecheng-10575	222	62	given	give	VERB
fumecheng-10575	222	63	by	by	ADP
fumecheng-10575	222	64	the	the	DET
fumecheng-10575	222	65	slope	slope	NOUN
fumecheng-10575	222	66	,	,	PUNCT
fumecheng-10575	222	67	𝒔𝒍𝒐𝒑𝒆	𝒔𝒍𝒐𝒑𝒆	NOUN
fumecheng-10575	222	68	=	=	SYM
fumecheng-10575	222	69	𝑟[𝑘1+∆𝑥1]−𝑟[𝑘2+∆𝑥2	𝑟[𝑘1+∆𝑥1]−𝑟[𝑘2+∆𝑥2	NOUN
fumecheng-10575	222	70	]	]	PUNCT
fumecheng-10575	223	1	∆𝑥2−∆𝑥1	∆𝑥2−∆𝑥1	PROPN
fumecheng-10575	223	2	,	,	PUNCT
fumecheng-10575	223	3	𝑘1	𝑘1	PROPN
fumecheng-10575	223	4	=	=	NOUN
fumecheng-10575	223	5	50	50	NUM
fumecheng-10575	223	6	,	,	PUNCT
fumecheng-10575	223	7	𝑘2	𝑘2	PROPN
fumecheng-10575	223	8	=	=	SYM
fumecheng-10575	223	9	51	51	NUM
fumecheng-10575	223	10	(	(	PUNCT
fumecheng-10575	223	11	2	2	NUM
fumecheng-10575	223	12	)	)	PUNCT
fumecheng-10575	223	13	average	average	ADJ
fumecheng-10575	223	14	exposure	exposure	NOUN
fumecheng-10575	223	15	value	value	NOUN
fumecheng-10575	223	16	attained	attain	VERB
fumecheng-10575	223	17	when	when	SCONJ
fumecheng-10575	223	18	the	the	DET
fumecheng-10575	223	19	target	target	NOUN
fumecheng-10575	223	20	gas	gas	NOUN
fumecheng-10575	223	21	is	be	AUX
fumecheng-10575	223	22	exposed	expose	VERB
fumecheng-10575	223	23	to	to	ADP
fumecheng-10575	223	24	the	the	DET
fumecheng-10575	223	25	sensor	sensor	NOUN
fumecheng-10575	223	26	is	be	AUX
fumecheng-10575	223	27	expressed	express	VERB
fumecheng-10575	223	28	as	as	ADP
fumecheng-10575	223	29	,	,	PUNCT
fumecheng-10575	223	30	𝒂𝒗𝒆𝒓𝒂𝒈𝒆	𝒂𝒗𝒆𝒓𝒂𝒈𝒆	NOUN
fumecheng-10575	223	31	𝒆𝒙𝒑𝒐𝒔𝒖𝒓𝒆	𝒆𝒙𝒑𝒐𝒔𝒖𝒓𝒆	NOUN
fumecheng-10575	223	32	=	=	X
fumecheng-10575	223	33	𝑎𝑣𝑔	𝑎𝑣𝑔	VERB
fumecheng-10575	223	34	𝑘=51,52,	𝑘=51,52,	NOUN
fumecheng-10575	223	35	…	…	SYM
fumecheng-10575	223	36	150	150	NUM
fumecheng-10575	223	37	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	223	38	+	+	CCONJ
fumecheng-10575	223	39	∆𝑥	∆𝑥	NOUN
fumecheng-10575	223	40	]	]	X
fumecheng-10575	223	41	(	(	PUNCT
fumecheng-10575	223	42	3	3	X
fumecheng-10575	223	43	)	)	PUNCT
fumecheng-10575	223	44	assessment	assessment	NOUN
fumecheng-10575	223	45	and	and	CCONJ
fumecheng-10575	223	46	performance	performance	NOUN
fumecheng-10575	223	47	analysis	analysis	NOUN
fumecheng-10575	223	48	of	of	ADP
fumecheng-10575	223	49	machine	machine	NOUN
fumecheng-10575	223	50	learning	learn	VERB
fumecheng-10575	223	51	techniques	technique	NOUN
fumecheng-10575	223	52	for	for	ADP
fumecheng-10575	223	53	gas	gas	NOUN
fumecheng-10575	223	54	sensing	sense	VERB
fumecheng-10575	223	55	e	e	NOUN
fumecheng-10575	223	56	-	-	NOUN
fumecheng-10575	223	57	nose	nose	NOUN
fumecheng-10575	223	58	...	...	PUNCT
fumecheng-10575	223	59	493	493	NUM
fumecheng-10575	223	60	fall	fall	NOUN
fumecheng-10575	223	61	time	time	NOUN
fumecheng-10575	223	62	(	(	PUNCT
fumecheng-10575	223	63	denoted	denote	VERB
fumecheng-10575	223	64	by	by	ADP
fumecheng-10575	223	65	ft	ft	PROPN
fumecheng-10575	223	66	)	)	PUNCT
fumecheng-10575	223	67	from	from	ADP
fumecheng-10575	223	68	10	10	NUM
fumecheng-10575	223	69	%	%	NOUN
fumecheng-10575	223	70	to	to	PART
fumecheng-10575	223	71	90	90	NUM
fumecheng-10575	223	72	%	%	NOUN
fumecheng-10575	223	73	of	of	ADP
fumecheng-10575	223	74	the	the	DET
fumecheng-10575	223	75	signal	signal	NOUN
fumecheng-10575	223	76	while	while	SCONJ
fumecheng-10575	223	77	transitioning	transition	VERB
fumecheng-10575	223	78	from	from	ADP
fumecheng-10575	223	79	the	the	DET
fumecheng-10575	223	80	initial	initial	NOUN
fumecheng-10575	223	81	to	to	ADP
fumecheng-10575	223	82	exposure	exposure	NOUN
fumecheng-10575	223	83	phase	phase	NOUN
fumecheng-10575	223	84	is	be	AUX
fumecheng-10575	223	85	given	give	VERB
fumecheng-10575	223	86	as	as	ADP
fumecheng-10575	223	87	,	,	PUNCT
fumecheng-10575	223	88	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	223	89	+	+	CCONJ
fumecheng-10575	223	90	∆𝑥]10	∆𝑥]10	NOUN
fumecheng-10575	223	91	%	%	NOUN
fumecheng-10575	223	92	=	=	PRON
fumecheng-10575	223	93	𝑎𝑣𝑔	𝑎𝑣𝑔	VERB
fumecheng-10575	223	94	𝑘=0,1,	𝑘=0,1,	NOUN
fumecheng-10575	223	95	…	…	SYM
fumecheng-10575	223	96	50	50	NUM
fumecheng-10575	223	97	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	223	98	+	+	CCONJ
fumecheng-10575	223	99	∆𝑥	∆𝑥	NOUN
fumecheng-10575	223	100	]	]	X
fumecheng-10575	224	1	−	−	PROPN
fumecheng-10575	224	2	−	−	PROPN
fumecheng-10575	225	1	[	[	X
fumecheng-10575	225	2	0.1	0.1	NUM
fumecheng-10575	225	3	×	×	NOUN
fumecheng-10575	225	4	(	(	PUNCT
fumecheng-10575	225	5	𝑎𝑣𝑔	𝑎𝑣𝑔	X
fumecheng-10575	225	6	𝑘=0,1,	𝑘=0,1,	PROPN
fumecheng-10575	225	7	…	…	SYM
fumecheng-10575	225	8	50	50	NUM
fumecheng-10575	225	9	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	225	10	+	+	CCONJ
fumecheng-10575	225	11	∆𝑥	∆𝑥	NOUN
fumecheng-10575	225	12	]	]	X
fumecheng-10575	225	13	−	−	PROPN
fumecheng-10575	225	14	𝑎𝑣𝑔	𝑎𝑣𝑔	VERB
fumecheng-10575	225	15	𝑘=51,52,	𝑘=51,52,	NOUN
fumecheng-10575	225	16	…	…	SYM
fumecheng-10575	225	17	150	150	NUM
fumecheng-10575	225	18	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	225	19	+	+	CCONJ
fumecheng-10575	225	20	∆𝑥	∆𝑥	PROPN
fumecheng-10575	225	21	]	]	PUNCT
fumecheng-10575	225	22	)	)	PUNCT
fumecheng-10575	225	23	]	]	PUNCT
fumecheng-10575	225	24	(	(	PUNCT
fumecheng-10575	225	25	4	4	X
fumecheng-10575	225	26	)	)	PUNCT
fumecheng-10575	225	27	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	225	28	+	+	CCONJ
fumecheng-10575	225	29	∆𝑥]90	∆𝑥]90	ADJ
fumecheng-10575	225	30	%	%	NOUN
fumecheng-10575	225	31	=	=	PRON
fumecheng-10575	225	32	𝑎𝑣𝑔	𝑎𝑣𝑔	VERB
fumecheng-10575	225	33	𝑘=0,1,	𝑘=0,1,	NOUN
fumecheng-10575	225	34	…	…	SYM
fumecheng-10575	225	35	50	50	NUM
fumecheng-10575	225	36	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	225	37	+	+	CCONJ
fumecheng-10575	225	38	∆𝑥	∆𝑥	NOUN
fumecheng-10575	225	39	]	]	X
fumecheng-10575	226	1	−	−	PROPN
fumecheng-10575	226	2	−	−	PROPN
fumecheng-10575	227	1	[	[	X
fumecheng-10575	227	2	0.9	0.9	NUM
fumecheng-10575	227	3	×	×	NOUN
fumecheng-10575	227	4	(	(	PUNCT
fumecheng-10575	227	5	𝑎𝑣𝑔	𝑎𝑣𝑔	X
fumecheng-10575	227	6	𝑘=0,1,	𝑘=0,1,	PROPN
fumecheng-10575	227	7	…	…	SYM
fumecheng-10575	227	8	50	50	NUM
fumecheng-10575	227	9	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	227	10	+	+	CCONJ
fumecheng-10575	227	11	∆𝑥	∆𝑥	NOUN
fumecheng-10575	227	12	]	]	X
fumecheng-10575	227	13	−	−	PROPN
fumecheng-10575	227	14	𝑎𝑣𝑔	𝑎𝑣𝑔	VERB
fumecheng-10575	227	15	𝑘=51,52,	𝑘=51,52,	NOUN
fumecheng-10575	227	16	…	…	SYM
fumecheng-10575	227	17	150	150	NUM
fumecheng-10575	227	18	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	227	19	+	+	CCONJ
fumecheng-10575	227	20	∆𝑥	∆𝑥	PROPN
fumecheng-10575	227	21	]	]	PUNCT
fumecheng-10575	227	22	)	)	PUNCT
fumecheng-10575	227	23	]	]	PUNCT
fumecheng-10575	227	24	(	(	PUNCT
fumecheng-10575	227	25	5	5	X
fumecheng-10575	227	26	)	)	PUNCT
fumecheng-10575	227	27	𝒇𝒕	𝒇𝒕	PROPN
fumecheng-10575	227	28	=	=	PUNCT
fumecheng-10575	227	29	𝑡𝑖𝑚𝑒|(𝑟[𝑘	𝑡𝑖𝑚𝑒|(𝑟[𝑘	PROPN
fumecheng-10575	228	1	+	+	NUM
fumecheng-10575	228	2	∆𝑥	∆𝑥	NOUN
fumecheng-10575	228	3	]	]	X
fumecheng-10575	228	4	=	=	SYM
fumecheng-10575	229	1	𝑟[𝑘	𝑟[𝑘	X
fumecheng-10575	229	2	+	+	CCONJ
fumecheng-10575	229	3	∆𝑥]90	∆𝑥]90	ADJ
fumecheng-10575	229	4	%	%	NOUN
fumecheng-10575	229	5	)	)	PUNCT
fumecheng-10575	230	1	−	−	PROPN
fumecheng-10575	230	2	𝑡𝑖𝑚𝑒|(𝑟[𝑘	𝑡𝑖𝑚𝑒|(𝑟[𝑘	PROPN
fumecheng-10575	231	1	+	+	CCONJ
fumecheng-10575	231	2	∆𝑥	∆𝑥	NOUN
fumecheng-10575	231	3	]	]	X
fumecheng-10575	231	4	=	=	SYM
fumecheng-10575	232	1	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	232	2	+	+	CCONJ
fumecheng-10575	232	3	∆𝑥]10	∆𝑥]10	NOUN
fumecheng-10575	232	4	%	%	NOUN
fumecheng-10575	232	5	)	)	PUNCT
fumecheng-10575	232	6	(	(	PUNCT
fumecheng-10575	232	7	6	6	X
fumecheng-10575	232	8	)	)	PUNCT
fumecheng-10575	232	9	rise	rise	NOUN
fumecheng-10575	232	10	time	time	NOUN
fumecheng-10575	232	11	(	(	PUNCT
fumecheng-10575	232	12	denoted	denote	VERB
fumecheng-10575	232	13	by	by	ADP
fumecheng-10575	232	14	rt	rt	PROPN
fumecheng-10575	232	15	)	)	PUNCT
fumecheng-10575	232	16	from	from	ADP
fumecheng-10575	232	17	10	10	NUM
fumecheng-10575	232	18	%	%	NOUN
fumecheng-10575	232	19	to	to	PART
fumecheng-10575	232	20	90	90	NUM
fumecheng-10575	232	21	%	%	NOUN
fumecheng-10575	232	22	of	of	ADP
fumecheng-10575	232	23	the	the	DET
fumecheng-10575	232	24	signal	signal	NOUN
fumecheng-10575	232	25	while	while	SCONJ
fumecheng-10575	232	26	transitioning	transition	VERB
fumecheng-10575	232	27	from	from	ADP
fumecheng-10575	232	28	the	the	DET
fumecheng-10575	232	29	exposure	exposure	NOUN
fumecheng-10575	232	30	to	to	ADP
fumecheng-10575	232	31	recovery	recovery	NOUN
fumecheng-10575	232	32	phase	phase	NOUN
fumecheng-10575	232	33	is	be	AUX
fumecheng-10575	232	34	expressed	express	VERB
fumecheng-10575	232	35	as	as	ADP
fumecheng-10575	232	36	,	,	PUNCT
fumecheng-10575	232	37	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	232	38	+	+	CCONJ
fumecheng-10575	232	39	∆𝑥]10	∆𝑥]10	NOUN
fumecheng-10575	232	40	%	%	NOUN
fumecheng-10575	232	41	=	=	X
fumecheng-10575	232	42	𝑎𝑣𝑔	𝑎𝑣𝑔	VERB
fumecheng-10575	232	43	𝑘=151,152,	𝑘=151,152,	PROPN
fumecheng-10575	232	44	…	…	NUM
fumecheng-10575	232	45	600	600	NUM
fumecheng-10575	232	46	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	232	47	+	+	CCONJ
fumecheng-10575	232	48	∆𝑥	∆𝑥	NOUN
fumecheng-10575	232	49	]	]	X
fumecheng-10575	232	50	−	−	PROPN
fumecheng-10575	233	1	[	[	X
fumecheng-10575	233	2	0.1	0.1	NUM
fumecheng-10575	233	3	×	×	NOUN
fumecheng-10575	233	4	(	(	PUNCT
fumecheng-10575	233	5	𝑎𝑣𝑔	𝑎𝑣𝑔	VERB
fumecheng-10575	233	6	𝑘=151,152,	𝑘=151,152,	PROPN
fumecheng-10575	233	7	…	…	NUM
fumecheng-10575	233	8	600	600	NUM
fumecheng-10575	233	9	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	233	10	+	+	CCONJ
fumecheng-10575	233	11	∆𝑥	∆𝑥	NOUN
fumecheng-10575	233	12	]	]	X
fumecheng-10575	233	13	−	−	PROPN
fumecheng-10575	233	14	𝑎𝑣𝑔	𝑎𝑣𝑔	VERB
fumecheng-10575	233	15	𝑘=51,52,	𝑘=51,52,	NOUN
fumecheng-10575	233	16	…	…	SYM
fumecheng-10575	233	17	150	150	NUM
fumecheng-10575	233	18	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	233	19	+	+	CCONJ
fumecheng-10575	233	20	∆𝑥	∆𝑥	PROPN
fumecheng-10575	233	21	]	]	PUNCT
fumecheng-10575	233	22	)	)	PUNCT
fumecheng-10575	233	23	]	]	PUNCT
fumecheng-10575	234	1	(	(	PUNCT
fumecheng-10575	234	2	7	7	X
fumecheng-10575	234	3	)	)	PUNCT
fumecheng-10575	234	4	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	234	5	+	+	CCONJ
fumecheng-10575	234	6	∆𝑥]90	∆𝑥]90	ADJ
fumecheng-10575	234	7	%	%	NOUN
fumecheng-10575	234	8	=	=	PRON
fumecheng-10575	234	9	𝑎𝑣𝑔	𝑎𝑣𝑔	VERB
fumecheng-10575	234	10	𝑘=151,152,	𝑘=151,152,	PROPN
fumecheng-10575	234	11	…	…	NUM
fumecheng-10575	234	12	600	600	NUM
fumecheng-10575	234	13	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	234	14	+	+	CCONJ
fumecheng-10575	234	15	∆𝑥	∆𝑥	NOUN
fumecheng-10575	234	16	]	]	X
fumecheng-10575	234	17	−	−	PROPN
fumecheng-10575	235	1	[	[	X
fumecheng-10575	235	2	0.9	0.9	NUM
fumecheng-10575	235	3	×	×	NOUN
fumecheng-10575	235	4	(	(	PUNCT
fumecheng-10575	235	5	𝑎𝑣𝑔	𝑎𝑣𝑔	VERB
fumecheng-10575	235	6	𝑘=151,152,	𝑘=151,152,	PROPN
fumecheng-10575	235	7	…	…	NUM
fumecheng-10575	235	8	600	600	NUM
fumecheng-10575	235	9	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	235	10	+	+	CCONJ
fumecheng-10575	235	11	∆𝑥	∆𝑥	NOUN
fumecheng-10575	235	12	]	]	X
fumecheng-10575	235	13	−	−	PROPN
fumecheng-10575	235	14	𝑎𝑣𝑔	𝑎𝑣𝑔	VERB
fumecheng-10575	235	15	𝑘=51,52,	𝑘=51,52,	NOUN
fumecheng-10575	235	16	…	…	SYM
fumecheng-10575	235	17	150	150	NUM
fumecheng-10575	235	18	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	235	19	+	+	CCONJ
fumecheng-10575	235	20	∆𝑥	∆𝑥	PROPN
fumecheng-10575	235	21	]	]	PUNCT
fumecheng-10575	235	22	)	)	PUNCT
fumecheng-10575	235	23	]	]	PUNCT
fumecheng-10575	235	24	(	(	PUNCT
fumecheng-10575	235	25	8)	8)	NUM
fumecheng-10575	235	26	𝒓𝒕	𝒓𝒕	ADP
fumecheng-10575	235	27	=	=	PUNCT
fumecheng-10575	235	28	𝑡𝑖𝑚𝑒|(𝑟[𝑘	𝑡𝑖𝑚𝑒|(𝑟[𝑘	PROPN
fumecheng-10575	236	1	+	+	NUM
fumecheng-10575	236	2	∆𝑥	∆𝑥	NOUN
fumecheng-10575	236	3	]	]	X
fumecheng-10575	236	4	=	=	SYM
fumecheng-10575	237	1	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	237	2	+	+	CCONJ
fumecheng-10575	237	3	∆𝑥]10	∆𝑥]10	NOUN
fumecheng-10575	237	4	%	%	NOUN
fumecheng-10575	237	5	)	)	PUNCT
fumecheng-10575	237	6	−	−	PROPN
fumecheng-10575	238	1	𝑡𝑖𝑚𝑒|(𝑟[𝑘	𝑡𝑖𝑚𝑒|(𝑟[𝑘	PROPN
fumecheng-10575	238	2	+	+	CCONJ
fumecheng-10575	238	3	∆𝑥	∆𝑥	NOUN
fumecheng-10575	238	4	]	]	X
fumecheng-10575	238	5	=	=	SYM
fumecheng-10575	239	1	𝑟[𝑘	𝑟[𝑘	X
fumecheng-10575	239	2	+	+	CCONJ
fumecheng-10575	239	3	∆𝑥]90	∆𝑥]90	ADJ
fumecheng-10575	239	4	%	%	NOUN
fumecheng-10575	239	5	)	)	PUNCT
fumecheng-10575	239	6	(	(	PUNCT
fumecheng-10575	239	7	9	9	X
fumecheng-10575	239	8	)	)	PUNCT
fumecheng-10575	239	9	fig	fig	NOUN
fumecheng-10575	239	10	.	.	PUNCT
fumecheng-10575	239	11	8	8	NUM
fumecheng-10575	239	12	illustrates	illustrate	VERB
fumecheng-10575	239	13	the	the	DET
fumecheng-10575	239	14	five	five	NUM
fumecheng-10575	239	15	different	different	ADJ
fumecheng-10575	239	16	features	feature	NOUN
fumecheng-10575	239	17	in	in	ADP
fumecheng-10575	239	18	eqs	eqs	PROPN
fumecheng-10575	239	19	.	.	PUNCT
fumecheng-10575	240	1	(	(	PUNCT
fumecheng-10575	240	2	1)-(3	1)-(3	NUM
fumecheng-10575	240	3	)	)	PUNCT
fumecheng-10575	240	4	,	,	PUNCT
fumecheng-10575	240	5	(	(	PUNCT
fumecheng-10575	240	6	6	6	NUM
fumecheng-10575	240	7	)	)	PUNCT
fumecheng-10575	240	8	and	and	CCONJ
fumecheng-10575	240	9	(	(	PUNCT
fumecheng-10575	240	10	9	9	X
fumecheng-10575	240	11	)	)	PUNCT
fumecheng-10575	240	12	extracted	extract	VERB
fumecheng-10575	240	13	from	from	ADP
fumecheng-10575	240	14	sensor	sensor	NOUN
fumecheng-10575	240	15	4	4	NUM
fumecheng-10575	240	16	of	of	ADP
fumecheng-10575	240	17	board	board	NOUN
fumecheng-10575	240	18	1	1	NUM
fumecheng-10575	240	19	for	for	ADP
fumecheng-10575	240	20	the	the	DET
fumecheng-10575	240	21	detection	detection	NOUN
fumecheng-10575	240	22	of	of	ADP
fumecheng-10575	240	23	12.5ppm	12.5ppm	NUM
fumecheng-10575	240	24	of	of	ADP
fumecheng-10575	240	25	ethanol	ethanol	NOUN
fumecheng-10575	240	26	.	.	PUNCT
fumecheng-10575	241	1	the	the	DET
fumecheng-10575	241	2	five	five	NUM
fumecheng-10575	241	3	features	feature	NOUN
fumecheng-10575	241	4	ensure	ensure	VERB
fumecheng-10575	241	5	that	that	SCONJ
fumecheng-10575	241	6	fig	fig	NOUN
fumecheng-10575	241	7	.	.	PUNCT
fumecheng-10575	241	8	8	8	NUM
fumecheng-10575	241	9	visual	visual	ADJ
fumecheng-10575	241	10	depiction	depiction	NOUN
fumecheng-10575	241	11	of	of	ADP
fumecheng-10575	241	12	the	the	DET
fumecheng-10575	241	13	five	five	NUM
fumecheng-10575	241	14	features	feature	NOUN
fumecheng-10575	241	15	extracted	extract	VERB
fumecheng-10575	241	16	from	from	ADP
fumecheng-10575	241	17	sensor	sensor	NOUN
fumecheng-10575	241	18	signal	signal	NOUN
fumecheng-10575	241	19	of	of	ADP
fumecheng-10575	241	20	sensor	sensor	NOUN
fumecheng-10575	241	21	4	4	NUM
fumecheng-10575	241	22	on	on	ADP
fumecheng-10575	241	23	board	board	NOUN
fumecheng-10575	241	24	1	1	NUM
fumecheng-10575	241	25	and	and	CCONJ
fumecheng-10575	241	26	day	day	NOUN
fumecheng-10575	241	27	1	1	NUM
fumecheng-10575	241	28	for	for	ADP
fumecheng-10575	241	29	12.5	12.5	NUM
fumecheng-10575	241	30	ppm	ppm	NOUN
fumecheng-10575	241	31	of	of	ADP
fumecheng-10575	241	32	ethanol	ethanol	NOUN
fumecheng-10575	241	33	494	494	NUM
fumecheng-10575	241	34	l.	l.	PROPN
fumecheng-10575	241	35	mahmood	mahmood	PROPN
fumecheng-10575	241	36	,	,	PUNCT
fumecheng-10575	241	37	z.	z.	PROPN
fumecheng-10575	241	38	bahroun	bahroun	PROPN
fumecheng-10575	241	39	,	,	PUNCT
fumecheng-10575	241	40	m.	m.	NOUN
fumecheng-10575	241	41	ghommem	ghommem	PROPN
fumecheng-10575	241	42	,	,	PUNCT
fumecheng-10575	241	43	h.	h.	PROPN
fumecheng-10575	241	44	alshraideh	alshraideh	NOUN
fumecheng-10575	241	45	they	they	PRON
fumecheng-10575	241	46	cover	cover	VERB
fumecheng-10575	241	47	all	all	DET
fumecheng-10575	241	48	the	the	DET
fumecheng-10575	241	49	three	three	NUM
fumecheng-10575	241	50	phases	phase	NOUN
fumecheng-10575	241	51	of	of	ADP
fumecheng-10575	241	52	the	the	DET
fumecheng-10575	241	53	signal	signal	NOUN
fumecheng-10575	241	54	and	and	CCONJ
fumecheng-10575	241	55	are	be	AUX
fumecheng-10575	241	56	able	able	ADJ
fumecheng-10575	241	57	to	to	PART
fumecheng-10575	241	58	extract	extract	VERB
fumecheng-10575	241	59	relevant	relevant	ADJ
fumecheng-10575	241	60	information	information	NOUN
fumecheng-10575	241	61	from	from	ADP
fumecheng-10575	241	62	the	the	DET
fumecheng-10575	241	63	raw	raw	ADJ
fumecheng-10575	241	64	signal	signal	NOUN
fumecheng-10575	241	65	.	.	PUNCT
fumecheng-10575	242	1	the	the	DET
fumecheng-10575	242	2	pre	pre	ADJ
fumecheng-10575	242	3	-	-	ADJ
fumecheng-10575	242	4	processing	processing	ADJ
fumecheng-10575	242	5	and	and	CCONJ
fumecheng-10575	242	6	feature	feature	NOUN
fumecheng-10575	242	7	extraction	extraction	NOUN
fumecheng-10575	242	8	was	be	AUX
fumecheng-10575	242	9	achieved	achieve	VERB
fumecheng-10575	242	10	for	for	ADP
fumecheng-10575	242	11	eight	eight	NUM
fumecheng-10575	242	12	sensors	sensor	NOUN
fumecheng-10575	242	13	on	on	ADP
fumecheng-10575	242	14	all	all	DET
fumecheng-10575	242	15	five	five	NUM
fumecheng-10575	242	16	boards	board	NOUN
fumecheng-10575	242	17	,	,	PUNCT
fumecheng-10575	242	18	for	for	ADP
fumecheng-10575	242	19	all	all	DET
fumecheng-10575	242	20	the	the	DET
fumecheng-10575	242	21	four	four	NUM
fumecheng-10575	242	22	gases	gas	NOUN
fumecheng-10575	242	23	,	,	PUNCT
fumecheng-10575	242	24	thereby	thereby	ADV
fumecheng-10575	242	25	,	,	PUNCT
fumecheng-10575	242	26	resulting	result	VERB
fumecheng-10575	242	27	in	in	ADP
fumecheng-10575	242	28	a	a	DET
fumecheng-10575	242	29	total	total	NOUN
fumecheng-10575	242	30	of	of	ADP
fumecheng-10575	242	31	40	40	NUM
fumecheng-10575	242	32	features	feature	NOUN
fumecheng-10575	242	33	(	(	PUNCT
fumecheng-10575	242	34	5	5	NUM
fumecheng-10575	242	35	main	main	ADJ
fumecheng-10575	242	36	features	feature	NOUN
fumecheng-10575	242	37	x	x	SYM
fumecheng-10575	242	38	8	8	NUM
fumecheng-10575	242	39	sensors	sensor	NOUN
fumecheng-10575	242	40	)	)	PUNCT
fumecheng-10575	242	41	to	to	PART
fumecheng-10575	242	42	be	be	AUX
fumecheng-10575	242	43	used	use	VERB
fumecheng-10575	242	44	for	for	ADP
fumecheng-10575	242	45	classification	classification	NOUN
fumecheng-10575	242	46	and	and	CCONJ
fumecheng-10575	242	47	regression	regression	NOUN
fumecheng-10575	242	48	.	.	PUNCT
fumecheng-10575	243	1	the	the	DET
fumecheng-10575	243	2	summary	summary	NOUN
fumecheng-10575	243	3	of	of	ADP
fumecheng-10575	243	4	the	the	DET
fumecheng-10575	243	5	complete	complete	ADJ
fumecheng-10575	243	6	feature	feature	NOUN
fumecheng-10575	243	7	dataset	dataset	NOUN
fumecheng-10575	243	8	is	be	AUX
fumecheng-10575	243	9	shown	show	VERB
fumecheng-10575	243	10	in	in	ADP
fumecheng-10575	243	11	table	table	NOUN
fumecheng-10575	243	12	7	7	NUM
fumecheng-10575	243	13	.	.	PUNCT
fumecheng-10575	243	14	table	table	NOUN
fumecheng-10575	243	15	7	7	NUM
fumecheng-10575	243	16	summary	summary	NOUN
fumecheng-10575	243	17	of	of	ADP
fumecheng-10575	243	18	the	the	DET
fumecheng-10575	243	19	complete	complete	ADJ
fumecheng-10575	243	20	feature	feature	NOUN
fumecheng-10575	243	21	set	set	VERB
fumecheng-10575	243	22	dataset	dataset	NOUN
fumecheng-10575	243	23	2	2	NUM
fumecheng-10575	243	24	sensor	sensor	NOUN
fumecheng-10575	243	25	no	no	NOUN
fumecheng-10575	243	26	.	.	PUNCT
fumecheng-10575	244	1	feature	feature	NOUN
fumecheng-10575	244	2	name	name	NOUN
fumecheng-10575	244	3	/	/	SYM
fumecheng-10575	244	4	feature	feature	NOUN
fumecheng-10575	244	5	number	number	NOUN
fumecheng-10575	244	6	drop	drop	NOUN
fumecheng-10575	244	7	value	value	NOUN
fumecheng-10575	244	8	average	average	ADJ
fumecheng-10575	244	9	exposure	exposure	NOUN
fumecheng-10575	244	10	value	value	NOUN
fumecheng-10575	244	11	slope	slope	NOUN
fumecheng-10575	244	12	value	value	NOUN
fumecheng-10575	244	13	in	in	ADP
fumecheng-10575	244	14	the	the	DET
fumecheng-10575	244	15	ie	ie	ADJ
fumecheng-10575	244	16	fall	fall	NOUN
fumecheng-10575	244	17	time	time	NOUN
fumecheng-10575	244	18	from	from	ADP
fumecheng-10575	244	19	10	10	NUM
fumecheng-10575	244	20	%	%	NOUN
fumecheng-10575	244	21	to	to	PART
fumecheng-10575	244	22	90	90	NUM
fumecheng-10575	244	23	%	%	NOUN
fumecheng-10575	244	24	in	in	ADP
fumecheng-10575	244	25	the	the	DET
fumecheng-10575	244	26	ie	ie	X
fumecheng-10575	244	27	rise	rise	NOUN
fumecheng-10575	244	28	time	time	NOUN
fumecheng-10575	244	29	from	from	ADP
fumecheng-10575	244	30	10	10	NUM
fumecheng-10575	244	31	%	%	NOUN
fumecheng-10575	244	32	to	to	PART
fumecheng-10575	244	33	90	90	NUM
fumecheng-10575	244	34	%	%	NOUN
fumecheng-10575	244	35	in	in	ADP
fumecheng-10575	244	36	the	the	DET
fumecheng-10575	244	37	er	er	INTJ
fumecheng-10575	244	38	1	1	NUM
fumecheng-10575	244	39	f1	f1	NOUN
fumecheng-10575	244	40	f2	f2	PROPN
fumecheng-10575	244	41	f3	f3	VERB
fumecheng-10575	244	42	f4	f4	NUM
fumecheng-10575	244	43	f5	f5	NOUN
fumecheng-10575	244	44	2	2	NUM
fumecheng-10575	244	45	f6	f6	PROPN
fumecheng-10575	244	46	f7	f7	PROPN
fumecheng-10575	244	47	f8	f8	PROPN
fumecheng-10575	244	48	f9	f9	PROPN
fumecheng-10575	244	49	f10	f10	PROPN
fumecheng-10575	244	50	3	3	NUM
fumecheng-10575	244	51	f11	f11	PROPN
fumecheng-10575	244	52	f12	f12	NOUN
fumecheng-10575	244	53	f13	f13	PROPN
fumecheng-10575	244	54	f14	f14	PROPN
fumecheng-10575	244	55	f15	f15	PROPN
fumecheng-10575	244	56	4	4	NUM
fumecheng-10575	244	57	f16	f16	PROPN
fumecheng-10575	244	58	f17	f17	PROPN
fumecheng-10575	244	59	f18	f18	PROPN
fumecheng-10575	244	60	f19	f19	PROPN
fumecheng-10575	244	61	f20	f20	PROPN
fumecheng-10575	244	62	5	5	NUM
fumecheng-10575	244	63	f21	f21	NOUN
fumecheng-10575	244	64	f22	f22	NOUN
fumecheng-10575	244	65	f23	f23	PROPN
fumecheng-10575	244	66	f24	f24	PROPN
fumecheng-10575	244	67	f25	f25	PROPN
fumecheng-10575	244	68	6	6	NUM
fumecheng-10575	244	69	f26	f26	PUNCT
fumecheng-10575	244	70	f27	f27	PROPN
fumecheng-10575	244	71	f28	f28	PROPN
fumecheng-10575	244	72	f29	f29	PROPN
fumecheng-10575	244	73	f30	f30	NOUN
fumecheng-10575	244	74	7	7	NUM
fumecheng-10575	244	75	f31	f31	PROPN
fumecheng-10575	244	76	f32	f32	NOUN
fumecheng-10575	244	77	f33	f33	PROPN
fumecheng-10575	244	78	f34	f34	PROPN
fumecheng-10575	244	79	f35	f35	NOUN
fumecheng-10575	244	80	8	8	NUM
fumecheng-10575	244	81	f36	f36	NOUN
fumecheng-10575	244	82	f37	f37	PROPN
fumecheng-10575	244	83	f38	f38	PROPN
fumecheng-10575	244	84	f39	f39	PROPN
fumecheng-10575	244	85	f40	f40	PROPN
fumecheng-10575	244	86	3.2.2	3.2.2	NUM
fumecheng-10575	244	87	.	.	PUNCT
fumecheng-10575	245	1	machine	machine	NOUN
fumecheng-10575	245	2	learning	learn	VERB
fumecheng-10575	245	3	classification	classification	NOUN
fumecheng-10575	245	4	the	the	DET
fumecheng-10575	245	5	complete	complete	ADJ
fumecheng-10575	245	6	feature	feature	NOUN
fumecheng-10575	245	7	dataset	dataset	NOUN
fumecheng-10575	245	8	of	of	ADP
fumecheng-10575	245	9	40	40	NUM
fumecheng-10575	245	10	features	feature	NOUN
fumecheng-10575	245	11	was	be	AUX
fumecheng-10575	245	12	subjected	subject	VERB
fumecheng-10575	245	13	to	to	ADP
fumecheng-10575	245	14	machine	machine	NOUN
fumecheng-10575	245	15	learning	learn	VERB
fumecheng-10575	245	16	for	for	ADP
fumecheng-10575	245	17	classification	classification	NOUN
fumecheng-10575	245	18	.	.	PUNCT
fumecheng-10575	246	1	480	480	NUM
fumecheng-10575	246	2	measurements	measurement	NOUN
fumecheng-10575	246	3	(	(	PUNCT
fumecheng-10575	246	4	75	75	NUM
fumecheng-10575	246	5	%	%	NOUN
fumecheng-10575	246	6	of	of	ADP
fumecheng-10575	246	7	the	the	DET
fumecheng-10575	246	8	dataset	dataset	NOUN
fumecheng-10575	246	9	)	)	PUNCT
fumecheng-10575	246	10	from	from	ADP
fumecheng-10575	246	11	boards	board	NOUN
fumecheng-10575	246	12	1	1	NUM
fumecheng-10575	246	13	,	,	PUNCT
fumecheng-10575	246	14	2	2	NUM
fumecheng-10575	246	15	and	and	CCONJ
fumecheng-10575	246	16	3	3	NUM
fumecheng-10575	246	17	were	be	AUX
fumecheng-10575	246	18	used	use	VERB
fumecheng-10575	246	19	to	to	PART
fumecheng-10575	246	20	train	train	VERB
fumecheng-10575	246	21	the	the	DET
fumecheng-10575	246	22	machine	machine	NOUN
fumecheng-10575	246	23	learning	learning	NOUN
fumecheng-10575	246	24	models	model	NOUN
fumecheng-10575	246	25	,	,	PUNCT
fumecheng-10575	246	26	whereas	whereas	SCONJ
fumecheng-10575	246	27	,	,	PUNCT
fumecheng-10575	246	28	160	160	NUM
fumecheng-10575	246	29	measurements	measurement	NOUN
fumecheng-10575	246	30	(	(	PUNCT
fumecheng-10575	246	31	25	25	NUM
fumecheng-10575	246	32	%	%	NOUN
fumecheng-10575	246	33	of	of	ADP
fumecheng-10575	246	34	the	the	DET
fumecheng-10575	246	35	dataset	dataset	NOUN
fumecheng-10575	246	36	)	)	PUNCT
fumecheng-10575	246	37	from	from	ADP
fumecheng-10575	246	38	boards	board	NOUN
fumecheng-10575	246	39	4	4	NUM
fumecheng-10575	246	40	and	and	CCONJ
fumecheng-10575	246	41	5	5	NUM
fumecheng-10575	246	42	were	be	AUX
fumecheng-10575	246	43	used	use	VERB
fumecheng-10575	246	44	for	for	ADP
fumecheng-10575	246	45	model	model	NOUN
fumecheng-10575	246	46	testing	testing	NOUN
fumecheng-10575	246	47	.	.	PUNCT
fumecheng-10575	247	1	the	the	DET
fumecheng-10575	247	2	training	training	NOUN
fumecheng-10575	247	3	data	datum	NOUN
fumecheng-10575	247	4	was	be	AUX
fumecheng-10575	247	5	subjected	subject	VERB
fumecheng-10575	247	6	to	to	ADP
fumecheng-10575	247	7	10	10	NUM
fumecheng-10575	247	8	-	-	NOUN
fumecheng-10575	247	9	fold	fold	ADJ
fumecheng-10575	247	10	,	,	PUNCT
fumecheng-10575	247	11	leave	leave	VERB
fumecheng-10575	247	12	-	-	PUNCT
fumecheng-10575	247	13	one	one	NUM
fumecheng-10575	247	14	-	-	PUNCT
fumecheng-10575	247	15	out	out	ADP
fumecheng-10575	247	16	cross	cross	NOUN
fumecheng-10575	247	17	-	-	NOUN
fumecheng-10575	247	18	validation	validation	NOUN
fumecheng-10575	247	19	to	to	PART
fumecheng-10575	247	20	minimize	minimize	VERB
fumecheng-10575	247	21	the	the	DET
fumecheng-10575	247	22	possibility	possibility	NOUN
fumecheng-10575	247	23	of	of	ADP
fumecheng-10575	247	24	any	any	DET
fumecheng-10575	247	25	model	model	NOUN
fumecheng-10575	247	26	underfitting	underfitting	NOUN
fumecheng-10575	247	27	or	or	CCONJ
fumecheng-10575	247	28	overfitting	overfitting	NOUN
fumecheng-10575	247	29	.	.	PUNCT
fumecheng-10575	248	1	classification	classification	NOUN
fumecheng-10575	248	2	models	model	NOUN
fumecheng-10575	248	3	such	such	ADJ
fumecheng-10575	248	4	as	as	ADP
fumecheng-10575	248	5	the	the	DET
fumecheng-10575	248	6	knn	knn	PROPN
fumecheng-10575	248	7	,	,	PUNCT
fumecheng-10575	248	8	svm	svm	PROPN
fumecheng-10575	248	9	,	,	PUNCT
fumecheng-10575	248	10	dt	dt	PUNCT
fumecheng-10575	248	11	and	and	CCONJ
fumecheng-10575	248	12	rf	rf	PRON
fumecheng-10575	248	13	were	be	AUX
fumecheng-10575	248	14	implemented	implement	VERB
fumecheng-10575	248	15	and	and	CCONJ
fumecheng-10575	248	16	the	the	DET
fumecheng-10575	248	17	corresponding	corresponding	ADJ
fumecheng-10575	248	18	results	result	NOUN
fumecheng-10575	248	19	are	be	AUX
fumecheng-10575	248	20	shown	show	VERB
fumecheng-10575	248	21	in	in	ADP
fumecheng-10575	248	22	fig	fig	NOUN
fumecheng-10575	248	23	.	.	PUNCT
fumecheng-10575	249	1	9	9	X
fumecheng-10575	249	2	.	.	X
fumecheng-10575	249	3	using	use	VERB
fumecheng-10575	249	4	k	k	PRON
fumecheng-10575	249	5	as	as	ADP
fumecheng-10575	249	6	5	5	NUM
fumecheng-10575	249	7	with	with	ADP
fumecheng-10575	249	8	the	the	DET
fumecheng-10575	249	9	manhattan	manhattan	PROPN
fumecheng-10575	249	10	distance	distance	PROPN
fumecheng-10575	249	11	metric	metric	NOUN
fumecheng-10575	249	12	,	,	PUNCT
fumecheng-10575	249	13	the	the	DET
fumecheng-10575	249	14	classification	classification	NOUN
fumecheng-10575	249	15	accuracy	accuracy	NOUN
fumecheng-10575	249	16	was	be	AUX
fumecheng-10575	249	17	found	find	VERB
fumecheng-10575	249	18	to	to	PART
fumecheng-10575	249	19	be	be	AUX
fumecheng-10575	249	20	96.25	96.25	NUM
fumecheng-10575	249	21	%	%	NOUN
fumecheng-10575	249	22	.	.	PUNCT
fumecheng-10575	250	1	it	it	PRON
fumecheng-10575	250	2	was	be	AUX
fumecheng-10575	250	3	observed	observe	VERB
fumecheng-10575	250	4	that	that	SCONJ
fumecheng-10575	250	5	changing	change	VERB
fumecheng-10575	250	6	the	the	DET
fumecheng-10575	250	7	value	value	NOUN
fumecheng-10575	250	8	of	of	ADP
fumecheng-10575	250	9	k	k	PROPN
fumecheng-10575	250	10	beyond	beyond	ADP
fumecheng-10575	250	11	5	5	NUM
fumecheng-10575	250	12	and	and	CCONJ
fumecheng-10575	250	13	lower	low	ADJ
fumecheng-10575	250	14	than	than	ADP
fumecheng-10575	250	15	3	3	NUM
fumecheng-10575	250	16	reduced	reduce	VERB
fumecheng-10575	250	17	the	the	DET
fumecheng-10575	250	18	classification	classification	NOUN
fumecheng-10575	250	19	accuracy	accuracy	NOUN
fumecheng-10575	250	20	,	,	PUNCT
fumecheng-10575	250	21	as	as	ADP
fumecheng-10575	250	22	a	a	DET
fumecheng-10575	250	23	result	result	NOUN
fumecheng-10575	250	24	,	,	PUNCT
fumecheng-10575	250	25	the	the	DET
fumecheng-10575	250	26	tested	test	VERB
fumecheng-10575	250	27	k	k	PROPN
fumecheng-10575	250	28	values	value	NOUN
fumecheng-10575	250	29	were	be	AUX
fumecheng-10575	250	30	limited	limit	VERB
fumecheng-10575	250	31	to	to	ADP
fumecheng-10575	250	32	5,4	5,4	NUM
fumecheng-10575	250	33	,	,	PUNCT
fumecheng-10575	250	34	and	and	CCONJ
fumecheng-10575	250	35	3	3	X
fumecheng-10575	250	36	.	.	X
fumecheng-10575	250	37	for	for	ADP
fumecheng-10575	250	38	both	both	CCONJ
fumecheng-10575	250	39	knn	knn	PROPN
fumecheng-10575	250	40	and	and	CCONJ
fumecheng-10575	250	41	svm	svm	PROPN
fumecheng-10575	250	42	,	,	PUNCT
fumecheng-10575	250	43	the	the	DET
fumecheng-10575	250	44	features	feature	NOUN
fumecheng-10575	250	45	were	be	AUX
fumecheng-10575	250	46	normalized	normalize	VERB
fumecheng-10575	250	47	to	to	PART
fumecheng-10575	250	48	attain	attain	VERB
fumecheng-10575	250	49	the	the	DET
fumecheng-10575	250	50	same	same	ADJ
fumecheng-10575	250	51	scale	scale	NOUN
fumecheng-10575	250	52	range	range	NOUN
fumecheng-10575	250	53	following	follow	VERB
fumecheng-10575	250	54	which	which	DET
fumecheng-10575	250	55	svm	svm	PROPN
fumecheng-10575	250	56	rendered	render	VERB
fumecheng-10575	250	57	an	an	DET
fumecheng-10575	250	58	accuracy	accuracy	NOUN
fumecheng-10575	250	59	of	of	ADP
fumecheng-10575	250	60	99.38	99.38	NUM
fumecheng-10575	250	61	%	%	NOUN
fumecheng-10575	250	62	.	.	PUNCT
fumecheng-10575	251	1	besides	besides	SCONJ
fumecheng-10575	251	2	svm	svm	PROPN
fumecheng-10575	251	3	,	,	PUNCT
fumecheng-10575	251	4	the	the	DET
fumecheng-10575	251	5	rf	rf	NOUN
fumecheng-10575	251	6	model	model	NOUN
fumecheng-10575	251	7	using	use	VERB
fumecheng-10575	251	8	100	100	NUM
fumecheng-10575	251	9	decision	decision	NOUN
fumecheng-10575	251	10	trees	tree	NOUN
fumecheng-10575	251	11	,	,	PUNCT
fumecheng-10575	251	12	a	a	DET
fumecheng-10575	251	13	tree	tree	NOUN
fumecheng-10575	251	14	depth	depth	NOUN
fumecheng-10575	251	15	of	of	ADP
fumecheng-10575	251	16	10	10	NUM
fumecheng-10575	251	17	and	and	CCONJ
fumecheng-10575	251	18	the	the	DET
fumecheng-10575	251	19	information	information	NOUN
fumecheng-10575	251	20	gain	gain	VERB
fumecheng-10575	251	21	splitting	splitting	NOUN
fumecheng-10575	251	22	criterion	criterion	NOUN
fumecheng-10575	251	23	rendered	render	VERB
fumecheng-10575	251	24	a	a	DET
fumecheng-10575	251	25	good	good	ADJ
fumecheng-10575	251	26	performance	performance	NOUN
fumecheng-10575	251	27	with	with	ADP
fumecheng-10575	251	28	99.38	99.38	NUM
fumecheng-10575	251	29	%	%	NOUN
fumecheng-10575	251	30	accuracy	accuracy	NOUN
fumecheng-10575	251	31	.	.	PUNCT
fumecheng-10575	252	1	fig	fig	NOUN
fumecheng-10575	252	2	.	.	PUNCT
fumecheng-10575	253	1	9	9	NUM
fumecheng-10575	253	2	classification	classification	NOUN
fumecheng-10575	253	3	accuracies	accuracy	NOUN
fumecheng-10575	253	4	of	of	ADP
fumecheng-10575	253	5	machine	machine	NOUN
fumecheng-10575	253	6	learning	learning	NOUN
fumecheng-10575	253	7	models	model	NOUN
fumecheng-10575	253	8	–	–	PUNCT
fumecheng-10575	253	9	dataset	dataset	VERB
fumecheng-10575	253	10	2	2	NUM
fumecheng-10575	253	11	assessment	assessment	NOUN
fumecheng-10575	253	12	and	and	CCONJ
fumecheng-10575	253	13	performance	performance	NOUN
fumecheng-10575	253	14	analysis	analysis	NOUN
fumecheng-10575	253	15	of	of	ADP
fumecheng-10575	253	16	machine	machine	NOUN
fumecheng-10575	253	17	learning	learn	VERB
fumecheng-10575	253	18	techniques	technique	NOUN
fumecheng-10575	253	19	for	for	ADP
fumecheng-10575	253	20	gas	gas	NOUN
fumecheng-10575	253	21	sensing	sense	VERB
fumecheng-10575	253	22	e	e	NOUN
fumecheng-10575	253	23	-	-	NOUN
fumecheng-10575	253	24	nose	nose	NOUN
fumecheng-10575	253	25	...	...	PUNCT
fumecheng-10575	253	26	495	495	NUM
fumecheng-10575	253	27	for	for	ADP
fumecheng-10575	253	28	knn	knn	PROPN
fumecheng-10575	253	29	,	,	PUNCT
fumecheng-10575	253	30	sbe	sbe	VERB
fumecheng-10575	253	31	improved	improve	VERB
fumecheng-10575	253	32	the	the	DET
fumecheng-10575	253	33	performance	performance	NOUN
fumecheng-10575	253	34	of	of	ADP
fumecheng-10575	253	35	the	the	DET
fumecheng-10575	253	36	model	model	NOUN
fumecheng-10575	253	37	from	from	ADP
fumecheng-10575	253	38	96.25	96.25	NUM
fumecheng-10575	253	39	%	%	NOUN
fumecheng-10575	253	40	to	to	ADP
fumecheng-10575	253	41	98.75	98.75	NUM
fumecheng-10575	253	42	%	%	NOUN
fumecheng-10575	253	43	using	use	VERB
fumecheng-10575	253	44	38	38	NUM
fumecheng-10575	253	45	features	feature	NOUN
fumecheng-10575	253	46	.	.	PUNCT
fumecheng-10575	254	1	on	on	ADP
fumecheng-10575	254	2	the	the	DET
fumecheng-10575	254	3	other	other	ADJ
fumecheng-10575	254	4	hand	hand	NOUN
fumecheng-10575	254	5	,	,	PUNCT
fumecheng-10575	254	6	using	use	VERB
fumecheng-10575	254	7	pca	pca	NOUN
fumecheng-10575	254	8	with	with	ADP
fumecheng-10575	254	9	15	15	NUM
fumecheng-10575	254	10	pcs	pc	NOUN
fumecheng-10575	254	11	along	along	ADP
fumecheng-10575	254	12	with	with	ADP
fumecheng-10575	254	13	dt	dt	PROPN
fumecheng-10575	254	14	enhanced	enhance	VERB
fumecheng-10575	254	15	the	the	DET
fumecheng-10575	254	16	performance	performance	NOUN
fumecheng-10575	254	17	of	of	ADP
fumecheng-10575	254	18	the	the	DET
fumecheng-10575	254	19	model	model	NOUN
fumecheng-10575	254	20	from	from	ADP
fumecheng-10575	254	21	77.5	77.5	NUM
fumecheng-10575	254	22	%	%	NOUN
fumecheng-10575	254	23	to	to	PART
fumecheng-10575	254	24	90	90	NUM
fumecheng-10575	254	25	%	%	NOUN
fumecheng-10575	254	26	.	.	PUNCT
fumecheng-10575	255	1	amongst	amongst	ADP
fumecheng-10575	255	2	the	the	DET
fumecheng-10575	255	3	top	top	ADJ
fumecheng-10575	255	4	20	20	NUM
fumecheng-10575	255	5	features	feature	NOUN
fumecheng-10575	255	6	shown	show	VERB
fumecheng-10575	255	7	in	in	ADP
fumecheng-10575	255	8	fig	fig	NOUN
fumecheng-10575	255	9	.	.	PUNCT
fumecheng-10575	256	1	10	10	NUM
fumecheng-10575	256	2	,	,	PUNCT
fumecheng-10575	256	3	drop	drop	NOUN
fumecheng-10575	256	4	value	value	NOUN
fumecheng-10575	256	5	features	feature	NOUN
fumecheng-10575	256	6	accounted	account	VERB
fumecheng-10575	256	7	for	for	ADP
fumecheng-10575	256	8	35	35	NUM
fumecheng-10575	256	9	%	%	NOUN
fumecheng-10575	256	10	and	and	CCONJ
fumecheng-10575	256	11	slope	slope	NOUN
fumecheng-10575	256	12	value	value	NOUN
fumecheng-10575	256	13	features	feature	NOUN
fumecheng-10575	256	14	accounted	account	VERB
fumecheng-10575	256	15	for	for	ADP
fumecheng-10575	256	16	30	30	NUM
fumecheng-10575	256	17	%	%	NOUN
fumecheng-10575	256	18	.	.	PUNCT
fumecheng-10575	257	1	this	this	PRON
fumecheng-10575	257	2	clearly	clearly	ADV
fumecheng-10575	257	3	shows	show	VERB
fumecheng-10575	257	4	that	that	SCONJ
fumecheng-10575	257	5	although	although	SCONJ
fumecheng-10575	257	6	drop	drop	NOUN
fumecheng-10575	257	7	value	value	NOUN
fumecheng-10575	257	8	features	feature	NOUN
fumecheng-10575	257	9	accounted	account	VERB
fumecheng-10575	257	10	for	for	ADP
fumecheng-10575	257	11	a	a	DET
fumecheng-10575	257	12	higher	high	ADJ
fumecheng-10575	257	13	percentage	percentage	NOUN
fumecheng-10575	257	14	,	,	PUNCT
fumecheng-10575	257	15	ample	ample	ADJ
fumecheng-10575	257	16	importance	importance	NOUN
fumecheng-10575	257	17	was	be	AUX
fumecheng-10575	257	18	given	give	VERB
fumecheng-10575	257	19	to	to	ADP
fumecheng-10575	257	20	the	the	DET
fumecheng-10575	257	21	features	feature	NOUN
fumecheng-10575	257	22	from	from	ADP
fumecheng-10575	257	23	the	the	DET
fumecheng-10575	257	24	other	other	ADJ
fumecheng-10575	257	25	phases	phase	NOUN
fumecheng-10575	257	26	of	of	ADP
fumecheng-10575	257	27	the	the	DET
fumecheng-10575	257	28	signal	signal	ADJ
fumecheng-10575	257	29	response	response	NOUN
fumecheng-10575	257	30	as	as	ADV
fumecheng-10575	257	31	well	well	ADV
fumecheng-10575	257	32	.	.	PUNCT
fumecheng-10575	258	1	fig	fig	NOUN
fumecheng-10575	258	2	.	.	PUNCT
fumecheng-10575	259	1	10	10	NUM
fumecheng-10575	259	2	feature	feature	NOUN
fumecheng-10575	259	3	weights	weight	NOUN
fumecheng-10575	259	4	for	for	ADP
fumecheng-10575	259	5	top	top	ADJ
fumecheng-10575	259	6	20	20	NUM
fumecheng-10575	259	7	features	feature	NOUN
fumecheng-10575	259	8	in	in	ADP
fumecheng-10575	259	9	the	the	DET
fumecheng-10575	259	10	dataset	dataset	NOUN
fumecheng-10575	259	11	dataset	dataset	NOUN
fumecheng-10575	259	12	2	2	NUM
fumecheng-10575	259	13	on	on	ADP
fumecheng-10575	259	14	implementing	implement	VERB
fumecheng-10575	259	15	the	the	DET
fumecheng-10575	259	16	machine	machine	NOUN
fumecheng-10575	259	17	learning	learning	NOUN
fumecheng-10575	259	18	models	model	NOUN
fumecheng-10575	259	19	with	with	ADP
fumecheng-10575	259	20	different	different	ADJ
fumecheng-10575	259	21	number	number	NOUN
fumecheng-10575	259	22	of	of	ADP
fumecheng-10575	259	23	features	feature	NOUN
fumecheng-10575	259	24	based	base	VERB
fumecheng-10575	259	25	on	on	ADP
fumecheng-10575	259	26	their	their	PRON
fumecheng-10575	259	27	gini	gini	NOUN
fumecheng-10575	259	28	index	index	NOUN
fumecheng-10575	259	29	weights	weight	NOUN
fumecheng-10575	259	30	,	,	PUNCT
fumecheng-10575	259	31	for	for	ADP
fumecheng-10575	259	32	all	all	DET
fumecheng-10575	259	33	the	the	DET
fumecheng-10575	259	34	four	four	NUM
fumecheng-10575	259	35	models	model	NOUN
fumecheng-10575	259	36	,	,	PUNCT
fumecheng-10575	259	37	the	the	DET
fumecheng-10575	259	38	accuracy	accuracy	NOUN
fumecheng-10575	259	39	steadily	steadily	ADV
fumecheng-10575	259	40	increased	increase	VERB
fumecheng-10575	259	41	until	until	SCONJ
fumecheng-10575	259	42	the	the	DET
fumecheng-10575	259	43	top	top	ADJ
fumecheng-10575	259	44	20	20	NUM
fumecheng-10575	259	45	highest	high	ADJ
fumecheng-10575	259	46	weighted	weight	VERB
fumecheng-10575	259	47	features	feature	NOUN
fumecheng-10575	259	48	were	be	AUX
fumecheng-10575	259	49	used	use	VERB
fumecheng-10575	259	50	,	,	PUNCT
fumecheng-10575	259	51	following	follow	VERB
fumecheng-10575	259	52	which	which	PRON
fumecheng-10575	259	53	it	it	PRON
fumecheng-10575	259	54	maintained	maintain	VERB
fumecheng-10575	259	55	a	a	DET
fumecheng-10575	259	56	steady	steady	ADJ
fumecheng-10575	259	57	value	value	NOUN
fumecheng-10575	259	58	(	(	PUNCT
fumecheng-10575	259	59	see	see	VERB
fumecheng-10575	259	60	fig	fig	NOUN
fumecheng-10575	259	61	.	.	PUNCT
fumecheng-10575	260	1	11	11	NUM
fumecheng-10575	260	2	)	)	PUNCT
fumecheng-10575	260	3	.	.	PUNCT
fumecheng-10575	261	1	this	this	PRON
fumecheng-10575	261	2	shows	show	VERB
fumecheng-10575	261	3	that	that	SCONJ
fumecheng-10575	261	4	the	the	DET
fumecheng-10575	261	5	top	top	ADJ
fumecheng-10575	261	6	20	20	NUM
fumecheng-10575	261	7	features	feature	NOUN
fumecheng-10575	261	8	are	be	AUX
fumecheng-10575	261	9	capable	capable	ADJ
fumecheng-10575	261	10	of	of	ADP
fumecheng-10575	261	11	providing	provide	VERB
fumecheng-10575	261	12	a	a	DET
fumecheng-10575	261	13	steadily	steadily	ADV
fumecheng-10575	261	14	increasing	increase	VERB
fumecheng-10575	261	15	accuracy	accuracy	NOUN
fumecheng-10575	261	16	and	and	CCONJ
fumecheng-10575	261	17	attaining	attain	VERB
fumecheng-10575	261	18	a	a	DET
fumecheng-10575	261	19	more	more	ADV
fumecheng-10575	261	20	stable	stable	ADJ
fumecheng-10575	261	21	value	value	NOUN
fumecheng-10575	261	22	requires	require	VERB
fumecheng-10575	261	23	the	the	DET
fumecheng-10575	261	24	use	use	NOUN
fumecheng-10575	261	25	of	of	ADP
fumecheng-10575	261	26	at	at	ADV
fumecheng-10575	261	27	least	least	ADV
fumecheng-10575	261	28	20	20	NUM
fumecheng-10575	261	29	features	feature	NOUN
fumecheng-10575	261	30	.	.	PUNCT
fumecheng-10575	262	1	fig	fig	NOUN
fumecheng-10575	262	2	.	.	PUNCT
fumecheng-10575	263	1	11	11	NUM
fumecheng-10575	263	2	classification	classification	NOUN
fumecheng-10575	263	3	accuracy	accuracy	NOUN
fumecheng-10575	263	4	using	use	VERB
fumecheng-10575	263	5	different	different	ADJ
fumecheng-10575	263	6	number	number	NOUN
fumecheng-10575	263	7	of	of	ADP
fumecheng-10575	263	8	features	feature	NOUN
fumecheng-10575	263	9	–	–	PUNCT
fumecheng-10575	263	10	dataset	dataset	VERB
fumecheng-10575	263	11	2	2	NUM
fumecheng-10575	263	12	496	496	NUM
fumecheng-10575	263	13	l.	l.	PROPN
fumecheng-10575	263	14	mahmood	mahmood	PROPN
fumecheng-10575	263	15	,	,	PUNCT
fumecheng-10575	263	16	z.	z.	PROPN
fumecheng-10575	263	17	bahroun	bahroun	PROPN
fumecheng-10575	263	18	,	,	PUNCT
fumecheng-10575	263	19	m.	m.	NOUN
fumecheng-10575	263	20	ghommem	ghommem	PROPN
fumecheng-10575	263	21	,	,	PUNCT
fumecheng-10575	263	22	h.	h.	PROPN
fumecheng-10575	263	23	alshraideh	alshraideh	PROPN
fumecheng-10575	263	24	3.3	3.3	NUM
fumecheng-10575	263	25	.	.	PUNCT
fumecheng-10575	264	1	dataset	dataset	VERB
fumecheng-10575	264	2	3	3	NUM
fumecheng-10575	264	3	–	–	PUNCT
fumecheng-10575	264	4	experimental	experimental	ADJ
fumecheng-10575	264	5	dataset	dataset	NOUN
fumecheng-10575	264	6	of	of	ADP
fumecheng-10575	264	7	co	co	NOUN
fumecheng-10575	264	8	with	with	ADP
fumecheng-10575	264	9	varying	vary	VERB
fumecheng-10575	264	10	concentrations	concentration	NOUN
fumecheng-10575	264	11	this	this	DET
fumecheng-10575	264	12	dataset	dataset	NOUN
fumecheng-10575	264	13	was	be	AUX
fumecheng-10575	264	14	collected	collect	VERB
fumecheng-10575	264	15	through	through	ADP
fumecheng-10575	264	16	the	the	DET
fumecheng-10575	264	17	detection	detection	NOUN
fumecheng-10575	264	18	of	of	ADP
fumecheng-10575	264	19	different	different	ADJ
fumecheng-10575	264	20	carbon	carbon	NOUN
fumecheng-10575	264	21	monoxide	monoxide	NOUN
fumecheng-10575	264	22	(	(	PUNCT
fumecheng-10575	264	23	co	co	NOUN
fumecheng-10575	264	24	)	)	PUNCT
fumecheng-10575	264	25	levels	level	NOUN
fumecheng-10575	264	26	using	use	VERB
fumecheng-10575	264	27	fourteen	fourteen	NUM
fumecheng-10575	264	28	mox	mox	NOUN
fumecheng-10575	264	29	sensors	sensor	NOUN
fumecheng-10575	264	30	under	under	ADP
fumecheng-10575	264	31	fluctuating	fluctuate	VERB
fumecheng-10575	264	32	humidity	humidity	NOUN
fumecheng-10575	264	33	conditions	condition	NOUN
fumecheng-10575	264	34	[	[	X
fumecheng-10575	264	35	37	37	NUM
fumecheng-10575	264	36	]	]	PUNCT
fumecheng-10575	264	37	.	.	PUNCT
fumecheng-10575	265	1	the	the	DET
fumecheng-10575	265	2	experiment	experiment	NOUN
fumecheng-10575	265	3	employed	employ	VERB
fumecheng-10575	265	4	seven	seven	NUM
fumecheng-10575	265	5	different	different	ADJ
fumecheng-10575	265	6	mox	mox	NOUN
fumecheng-10575	265	7	sensors	sensor	NOUN
fumecheng-10575	265	8	(	(	PUNCT
fumecheng-10575	265	9	2	2	NUM
fumecheng-10575	265	10	sensors	sensor	NOUN
fumecheng-10575	265	11	of	of	ADP
fumecheng-10575	265	12	each	each	DET
fumecheng-10575	265	13	type	type	NOUN
fumecheng-10575	265	14	)	)	PUNCT
fumecheng-10575	265	15	,	,	PUNCT
fumecheng-10575	265	16	resulting	result	VERB
fumecheng-10575	265	17	in	in	ADP
fumecheng-10575	265	18	a	a	DET
fumecheng-10575	265	19	total	total	NOUN
fumecheng-10575	265	20	of	of	ADP
fumecheng-10575	265	21	14	14	NUM
fumecheng-10575	265	22	mox	mox	NOUN
fumecheng-10575	265	23	sensors	sensor	NOUN
fumecheng-10575	265	24	for	for	ADP
fumecheng-10575	265	25	detecting	detect	VERB
fumecheng-10575	265	26	10	10	NUM
fumecheng-10575	265	27	different	different	ADJ
fumecheng-10575	265	28	concentrations	concentration	NOUN
fumecheng-10575	265	29	.	.	PUNCT
fumecheng-10575	266	1	each	each	DET
fumecheng-10575	266	2	concentration	concentration	NOUN
fumecheng-10575	266	3	was	be	AUX
fumecheng-10575	266	4	tested	test	VERB
fumecheng-10575	266	5	10	10	NUM
fumecheng-10575	266	6	times	time	NOUN
fumecheng-10575	266	7	,	,	PUNCT
fumecheng-10575	266	8	yielding	yield	VERB
fumecheng-10575	266	9	a	a	DET
fumecheng-10575	266	10	complete	complete	ADJ
fumecheng-10575	266	11	dataset	dataset	NOUN
fumecheng-10575	266	12	of	of	ADP
fumecheng-10575	266	13	1,300	1,300	NUM
fumecheng-10575	266	14	measurement	measurement	NOUN
fumecheng-10575	266	15	samples	sample	NOUN
fumecheng-10575	266	16	.	.	PUNCT
fumecheng-10575	267	1	more	more	ADJ
fumecheng-10575	267	2	details	detail	NOUN
fumecheng-10575	267	3	regarding	regard	VERB
fumecheng-10575	267	4	the	the	DET
fumecheng-10575	267	5	experimental	experimental	ADJ
fumecheng-10575	267	6	procedure	procedure	NOUN
fumecheng-10575	267	7	can	can	AUX
fumecheng-10575	267	8	be	be	AUX
fumecheng-10575	267	9	found	find	VERB
fumecheng-10575	267	10	in	in	ADP
fumecheng-10575	267	11	the	the	DET
fumecheng-10575	267	12	work	work	NOUN
fumecheng-10575	267	13	presented	present	VERB
fumecheng-10575	267	14	by	by	ADP
fumecheng-10575	267	15	burgués	burgués	PROPN
fumecheng-10575	267	16	et	et	PROPN
fumecheng-10575	267	17	al	al	PROPN
fumecheng-10575	267	18	.	.	PUNCT
fumecheng-10575	268	1	[	[	X
fumecheng-10575	268	2	37	37	NUM
fumecheng-10575	268	3	]	]	PUNCT
fumecheng-10575	268	4	.	.	PUNCT
fumecheng-10575	269	1	each	each	DET
fumecheng-10575	269	2	sample	sample	NOUN
fumecheng-10575	269	3	of	of	ADP
fumecheng-10575	269	4	co	co	PROPN
fumecheng-10575	269	5	was	be	AUX
fumecheng-10575	269	6	measured	measure	VERB
fumecheng-10575	269	7	for	for	ADP
fumecheng-10575	269	8	900s	900	NOUN
fumecheng-10575	269	9	,	,	PUNCT
fumecheng-10575	269	10	during	during	ADP
fumecheng-10575	269	11	which	which	PRON
fumecheng-10575	269	12	the	the	DET
fumecheng-10575	269	13	sensor	sensor	NOUN
fumecheng-10575	269	14	heater	heater	NOUN
fumecheng-10575	269	15	voltage	voltage	NOUN
fumecheng-10575	269	16	levels	level	NOUN
fumecheng-10575	269	17	were	be	AUX
fumecheng-10575	269	18	fluctuated	fluctuate	VERB
fumecheng-10575	269	19	to	to	PART
fumecheng-10575	269	20	generate	generate	VERB
fumecheng-10575	269	21	high	high	ADJ
fumecheng-10575	269	22	and	and	CCONJ
fumecheng-10575	269	23	low	low	ADJ
fumecheng-10575	269	24	sensor	sensor	NOUN
fumecheng-10575	269	25	temperatures	temperature	NOUN
fumecheng-10575	269	26	in	in	ADP
fumecheng-10575	269	27	cycles	cycle	NOUN
fumecheng-10575	269	28	of	of	ADP
fumecheng-10575	269	29	25s	25s	NUM
fumecheng-10575	269	30	.	.	PUNCT
fumecheng-10575	270	1	as	as	ADP
fumecheng-10575	270	2	a	a	DET
fumecheng-10575	270	3	result	result	NOUN
fumecheng-10575	270	4	,	,	PUNCT
fumecheng-10575	270	5	the	the	DET
fumecheng-10575	270	6	duration	duration	NOUN
fumecheng-10575	270	7	of	of	ADP
fumecheng-10575	270	8	each	each	DET
fumecheng-10575	270	9	measurement	measurement	NOUN
fumecheng-10575	270	10	being	be	AUX
fumecheng-10575	270	11	900s	900	NOUN
fumecheng-10575	270	12	,	,	PUNCT
fumecheng-10575	270	13	with	with	ADP
fumecheng-10575	270	14	one	one	NUM
fumecheng-10575	270	15	cycle	cycle	NOUN
fumecheng-10575	270	16	of	of	ADP
fumecheng-10575	270	17	25s	25s	NUM
fumecheng-10575	270	18	,	,	PUNCT
fumecheng-10575	270	19	resulted	result	VERB
fumecheng-10575	270	20	in	in	ADP
fumecheng-10575	270	21	approximately	approximately	ADV
fumecheng-10575	270	22	36	36	NUM
fumecheng-10575	270	23	complete	complete	ADJ
fumecheng-10575	270	24	cycles	cycle	NOUN
fumecheng-10575	270	25	during	during	ADP
fumecheng-10575	270	26	each	each	DET
fumecheng-10575	270	27	measurement	measurement	NOUN
fumecheng-10575	270	28	taken	take	VERB
fumecheng-10575	270	29	by	by	ADP
fumecheng-10575	270	30	burgués	burgués	PROPN
fumecheng-10575	270	31	et	et	PROPN
fumecheng-10575	270	32	al	al	PROPN
fumecheng-10575	270	33	.	.	PUNCT
fumecheng-10575	271	1	[	[	X
fumecheng-10575	271	2	37	37	NUM
fumecheng-10575	271	3	]	]	PUNCT
fumecheng-10575	271	4	,	,	PUNCT
fumecheng-10575	271	5	as	as	SCONJ
fumecheng-10575	271	6	shown	show	VERB
fumecheng-10575	271	7	in	in	ADP
fumecheng-10575	271	8	fig	fig	NOUN
fumecheng-10575	271	9	.	.	PUNCT
fumecheng-10575	272	1	12	12	NUM
fumecheng-10575	272	2	.	.	PUNCT
fumecheng-10575	272	3	fig	fig	NOUN
fumecheng-10575	272	4	.	.	PUNCT
fumecheng-10575	273	1	12	12	NUM
fumecheng-10575	273	2	sensor	sensor	NOUN
fumecheng-10575	273	3	response	response	NOUN
fumecheng-10575	273	4	from	from	ADP
fumecheng-10575	273	5	sensor	sensor	NOUN
fumecheng-10575	273	6	1	1	NUM
fumecheng-10575	273	7	and	and	CCONJ
fumecheng-10575	273	8	2	2	NUM
fumecheng-10575	273	9	to	to	ADP
fumecheng-10575	273	10	20ppm	20ppm	NUM
fumecheng-10575	273	11	of	of	ADP
fumecheng-10575	273	12	co	co	ADJ
fumecheng-10575	273	13	3.3.1	3.3.1	PROPN
fumecheng-10575	273	14	.	.	PUNCT
fumecheng-10575	273	15	methodology	methodology	NOUN
fumecheng-10575	273	16	based	base	VERB
fumecheng-10575	273	17	on	on	ADP
fumecheng-10575	273	18	the	the	DET
fumecheng-10575	273	19	sensor	sensor	NOUN
fumecheng-10575	273	20	responses	response	NOUN
fumecheng-10575	273	21	,	,	PUNCT
fumecheng-10575	273	22	the	the	DET
fumecheng-10575	273	23	three	three	NUM
fumecheng-10575	273	24	main	main	ADJ
fumecheng-10575	273	25	features	feature	NOUN
fumecheng-10575	273	26	were	be	AUX
fumecheng-10575	273	27	extracted	extract	VERB
fumecheng-10575	273	28	from	from	ADP
fumecheng-10575	273	29	𝑟[𝑘	𝑟[𝑘	NUM
fumecheng-10575	273	30	+	+	CCONJ
fumecheng-10575	273	31	∆𝑥	∆𝑥	NOUN
fumecheng-10575	273	32	]	]	PUNCT
fumecheng-10575	273	33	that	that	PRON
fumecheng-10575	273	34	represents	represent	VERB
fumecheng-10575	273	35	the	the	DET
fumecheng-10575	273	36	sensor	sensor	NOUN
fumecheng-10575	273	37	resistance	resistance	NOUN
fumecheng-10575	273	38	,	,	PUNCT
fumecheng-10575	273	39	with	with	ADP
fumecheng-10575	273	40	𝑘	𝑘	PRON
fumecheng-10575	273	41	as	as	ADP
fumecheng-10575	273	42	the	the	DET
fumecheng-10575	273	43	discrete	discrete	ADJ
fumecheng-10575	273	44	time	time	NOUN
fumecheng-10575	273	45	-	-	PUNCT
fumecheng-10575	273	46	step	step	NOUN
fumecheng-10575	273	47	,	,	PUNCT
fumecheng-10575	273	48	where	where	SCONJ
fumecheng-10575	273	49	𝑘	𝑘	PRON
fumecheng-10575	273	50	∈	∈	PROPN
fumecheng-10575	274	1	[	[	X
fumecheng-10575	274	2	0,900	0,900	NUM
fumecheng-10575	274	3	]	]	PUNCT
fumecheng-10575	274	4	and	and	CCONJ
fumecheng-10575	274	5	∆𝑥	∆𝑥	PROPN
fumecheng-10575	274	6	is	be	AUX
fumecheng-10575	274	7	used	use	VERB
fumecheng-10575	274	8	to	to	PART
fumecheng-10575	274	9	indicate	indicate	VERB
fumecheng-10575	274	10	any	any	DET
fumecheng-10575	274	11	incremental	incremental	ADJ
fumecheng-10575	274	12	change	change	NOUN
fumecheng-10575	274	13	in	in	ADP
fumecheng-10575	274	14	the	the	DET
fumecheng-10575	274	15	time	time	NOUN
fumecheng-10575	274	16	-	-	PUNCT
fumecheng-10575	274	17	step	step	NOUN
fumecheng-10575	274	18	as	as	SCONJ
fumecheng-10575	274	19	shown	show	VERB
fumecheng-10575	274	20	below	below	ADP
fumecheng-10575	274	21	:	:	PUNCT
fumecheng-10575	274	22	the	the	DET
fumecheng-10575	274	23	maximum	maximum	ADJ
fumecheng-10575	274	24	value	value	NOUN
fumecheng-10575	274	25	of	of	ADP
fumecheng-10575	274	26	the	the	DET
fumecheng-10575	274	27	signal	signal	NOUN
fumecheng-10575	274	28	amongst	amongst	ADP
fumecheng-10575	274	29	all	all	DET
fumecheng-10575	274	30	the	the	DET
fumecheng-10575	274	31	36	36	NUM
fumecheng-10575	274	32	cycles	cycle	NOUN
fumecheng-10575	274	33	for	for	ADP
fumecheng-10575	274	34	a	a	DET
fumecheng-10575	274	35	given	give	VERB
fumecheng-10575	274	36	gas	gas	NOUN
fumecheng-10575	274	37	is	be	AUX
fumecheng-10575	274	38	given	give	VERB
fumecheng-10575	274	39	as	as	ADP
fumecheng-10575	274	40	,	,	PUNCT
fumecheng-10575	274	41	maximum	maximum	ADJ
fumecheng-10575	274	42	peak	peak	NOUN
fumecheng-10575	274	43	=	=	SYM
fumecheng-10575	274	44	abs	ab	NOUN
fumecheng-10575	274	45	.	.	PUNCT
fumecheng-10575	275	1	max	max	PROPN
fumecheng-10575	275	2	k=0,1,	k=0,1,	PROPN
fumecheng-10575	275	3	…	…	SYM
fumecheng-10575	275	4	900	900	NUM
fumecheng-10575	275	5	(	(	PUNCT
fumecheng-10575	275	6	r[k	r[k	PROPN
fumecheng-10575	275	7	+	+	CCONJ
fumecheng-10575	275	8	∆x	∆x	PROPN
fumecheng-10575	275	9	]	]	X
fumecheng-10575	275	10	)	)	PUNCT
fumecheng-10575	275	11	(	(	PUNCT
fumecheng-10575	275	12	10	10	NUM
fumecheng-10575	275	13	)	)	PUNCT
fumecheng-10575	275	14	and	and	CCONJ
fumecheng-10575	275	15	the	the	DET
fumecheng-10575	275	16	time	time	NOUN
fumecheng-10575	275	17	-	-	PUNCT
fumecheng-10575	275	18	step	step	NOUN
fumecheng-10575	275	19	at	at	ADP
fumecheng-10575	275	20	which	which	PRON
fumecheng-10575	275	21	the	the	DET
fumecheng-10575	275	22	maximum	maximum	ADJ
fumecheng-10575	275	23	peak	peak	NOUN
fumecheng-10575	275	24	occurs	occur	VERB
fumecheng-10575	275	25	is	be	AUX
fumecheng-10575	275	26	defined	define	VERB
fumecheng-10575	275	27	as	as	ADP
fumecheng-10575	275	28	,	,	PUNCT
fumecheng-10575	275	29	timemax	timemax	NOUN
fumecheng-10575	275	30	.	.	PUNCT
fumecheng-10575	276	1	peak	peak	NOUN
fumecheng-10575	276	2	=	=	SYM
fumecheng-10575	276	3	k	k	PROPN
fumecheng-10575	277	1	+	+	PROPN
fumecheng-10575	277	2	∆x	∆x	PROPN
fumecheng-10575	277	3	(	(	PUNCT
fumecheng-10575	277	4	11	11	NUM
fumecheng-10575	277	5	)	)	PUNCT
fumecheng-10575	277	6	drop	drop	NOUN
fumecheng-10575	277	7	value	value	NOUN
fumecheng-10575	277	8	as	as	SCONJ
fumecheng-10575	277	9	the	the	DET
fumecheng-10575	277	10	signal	signal	ADJ
fumecheng-10575	277	11	transitions	transition	NOUN
fumecheng-10575	277	12	from	from	ADP
fumecheng-10575	277	13	the	the	DET
fumecheng-10575	277	14	peak	peak	NOUN
fumecheng-10575	277	15	value	value	NOUN
fumecheng-10575	277	16	to	to	ADP
fumecheng-10575	277	17	the	the	DET
fumecheng-10575	277	18	lowest	low	ADJ
fumecheng-10575	277	19	value	value	NOUN
fumecheng-10575	277	20	in	in	ADP
fumecheng-10575	277	21	that	that	DET
fumecheng-10575	277	22	cycle	cycle	NOUN
fumecheng-10575	277	23	is	be	AUX
fumecheng-10575	277	24	given	give	VERB
fumecheng-10575	277	25	as	as	ADP
fumecheng-10575	277	26	,	,	PUNCT
fumecheng-10575	277	27	drop	drop	NOUN
fumecheng-10575	277	28	=	=	SYM
fumecheng-10575	277	29	maximum	maximum	ADJ
fumecheng-10575	277	30	peaklocal	peaklocal	ADJ
fumecheng-10575	277	31	min	min	NOUN
fumecheng-10575	277	32	k=0,1,	k=0,1,	NOUN
fumecheng-10575	277	33	…	…	PUNCT
fumecheng-10575	277	34	900	900	NUM
fumecheng-10575	277	35	(	(	PUNCT
fumecheng-10575	277	36	r[k	r[k	PROPN
fumecheng-10575	277	37	+	+	CCONJ
fumecheng-10575	277	38	∆x	∆x	PROPN
fumecheng-10575	277	39	]	]	X
fumecheng-10575	277	40	)	)	PUNCT
fumecheng-10575	277	41	(	(	PUNCT
fumecheng-10575	277	42	12	12	NUM
fumecheng-10575	277	43	)	)	PUNCT
fumecheng-10575	277	44	here	here	ADV
fumecheng-10575	277	45	,	,	PUNCT
fumecheng-10575	277	46	𝑘	𝑘	X
fumecheng-10575	277	47	<	<	X
fumecheng-10575	277	48	𝑡𝑖𝑚𝑒𝑚𝑎𝑥.	𝑡𝑖𝑚𝑒𝑚𝑎𝑥.	NOUN
fumecheng-10575	277	49	𝑝𝑒𝑎𝑘.	𝑝𝑒𝑎𝑘.	NOUN
fumecheng-10575	277	50	on	on	ADP
fumecheng-10575	277	51	the	the	DET
fumecheng-10575	277	52	other	other	ADJ
fumecheng-10575	277	53	hand	hand	NOUN
fumecheng-10575	277	54	,	,	PUNCT
fumecheng-10575	277	55	the	the	DET
fumecheng-10575	277	56	transition	transition	NOUN
fumecheng-10575	277	57	rate	rate	NOUN
fumecheng-10575	277	58	is	be	AUX
fumecheng-10575	277	59	determined	determine	VERB
fumecheng-10575	277	60	through	through	ADP
fumecheng-10575	277	61	the	the	DET
fumecheng-10575	277	62	slope	slope	NOUN
fumecheng-10575	277	63	as	as	SCONJ
fumecheng-10575	277	64	follows	follow	VERB
fumecheng-10575	277	65	:	:	PUNCT
fumecheng-10575	277	66	assessment	assessment	NOUN
fumecheng-10575	277	67	and	and	CCONJ
fumecheng-10575	277	68	performance	performance	NOUN
fumecheng-10575	277	69	analysis	analysis	NOUN
fumecheng-10575	277	70	of	of	ADP
fumecheng-10575	277	71	machine	machine	NOUN
fumecheng-10575	277	72	learning	learn	VERB
fumecheng-10575	277	73	techniques	technique	NOUN
fumecheng-10575	277	74	for	for	ADP
fumecheng-10575	277	75	gas	gas	NOUN
fumecheng-10575	277	76	sensing	sense	VERB
fumecheng-10575	277	77	e	e	NOUN
fumecheng-10575	277	78	-	-	NOUN
fumecheng-10575	277	79	nose	nose	NOUN
fumecheng-10575	277	80	...	...	PUNCT
fumecheng-10575	277	81	497	497	NUM
fumecheng-10575	277	82	minimum	minimum	NOUN
fumecheng-10575	277	83	value	value	NOUN
fumecheng-10575	277	84	=	=	SYM
fumecheng-10575	277	85	local	local	ADJ
fumecheng-10575	277	86	min	min	NOUN
fumecheng-10575	277	87	k=0,1,	k=0,1,	NOUN
fumecheng-10575	277	88	…	…	PUNCT
fumecheng-10575	277	89	900	900	NUM
fumecheng-10575	277	90	(	(	PUNCT
fumecheng-10575	277	91	r[k	r[k	PROPN
fumecheng-10575	277	92	+	+	CCONJ
fumecheng-10575	277	93	∆x	∆x	PROPN
fumecheng-10575	277	94	]	]	X
fumecheng-10575	277	95	)	)	PUNCT
fumecheng-10575	277	96	(	(	PUNCT
fumecheng-10575	277	97	13	13	NUM
fumecheng-10575	277	98	)	)	PUNCT
fumecheng-10575	277	99	here	here	ADV
fumecheng-10575	277	100	,	,	PUNCT
fumecheng-10575	277	101	𝑘	𝑘	PROPN
fumecheng-10575	277	102	>	>	X
fumecheng-10575	277	103	𝑡𝑖𝑚𝑒𝑚𝑎𝑥.	𝑡𝑖𝑚𝑒𝑚𝑎𝑥.	PROPN
fumecheng-10575	277	104	𝑝𝑒𝑎𝑘	𝑝𝑒𝑎𝑘	PROPN
fumecheng-10575	277	105	and	and	CCONJ
fumecheng-10575	277	106	the	the	DET
fumecheng-10575	277	107	time	time	NOUN
fumecheng-10575	277	108	-	-	PUNCT
fumecheng-10575	277	109	step	step	NOUN
fumecheng-10575	277	110	at	at	ADP
fumecheng-10575	277	111	which	which	PRON
fumecheng-10575	277	112	the	the	DET
fumecheng-10575	277	113	minimum	minimum	NOUN
fumecheng-10575	277	114	value	value	NOUN
fumecheng-10575	277	115	occurs	occur	VERB
fumecheng-10575	277	116	is	be	AUX
fumecheng-10575	277	117	defined	define	VERB
fumecheng-10575	277	118	as	as	ADP
fumecheng-10575	277	119	,	,	PUNCT
fumecheng-10575	277	120	timemin	timemin	NOUN
fumecheng-10575	277	121	.	.	PUNCT
fumecheng-10575	277	122	value	value	NOUN
fumecheng-10575	278	1	=	=	PUNCT
fumecheng-10575	278	2	k	k	PROPN
fumecheng-10575	279	1	+	+	PROPN
fumecheng-10575	279	2	∆x	∆x	PROPN
fumecheng-10575	279	3	(	(	PUNCT
fumecheng-10575	279	4	14	14	NUM
fumecheng-10575	279	5	)	)	PUNCT
fumecheng-10575	279	6	consequently	consequently	ADV
fumecheng-10575	279	7	,	,	PUNCT
fumecheng-10575	279	8	𝒔𝒍𝒐𝒑𝒆	𝒔𝒍𝒐𝒑𝒆	PROPN
fumecheng-10575	279	9	=	=	PUNCT
fumecheng-10575	279	10	𝑚𝑎𝑥𝑖𝑚𝑢𝑚	𝑚𝑎𝑥𝑖𝑚𝑢𝑚	ADJ
fumecheng-10575	279	11	𝑝𝑒𝑎𝑘	𝑝𝑒𝑎𝑘	NOUN
fumecheng-10575	279	12	–	–	PUNCT
fumecheng-10575	279	13	𝑚𝑖𝑛𝑖𝑚𝑢𝑚	𝑚𝑖𝑛𝑖𝑚𝑢𝑚	NOUN
fumecheng-10575	279	14	𝑣𝑎𝑙𝑢𝑒	𝑣𝑎𝑙𝑢𝑒	VERB
fumecheng-10575	279	15	𝑡𝑖𝑚𝑒𝑚𝑎𝑥.𝑝𝑒𝑎𝑘	𝑡𝑖𝑚𝑒𝑚𝑎𝑥.𝑝𝑒𝑎𝑘	NOUN
fumecheng-10575	279	16	–	–	PUNCT
fumecheng-10575	279	17	𝑡𝑖𝑚𝑒𝑚𝑖𝑛.𝑣𝑎𝑙𝑢𝑒	𝑡𝑖𝑚𝑒𝑚𝑖𝑛.𝑣𝑎𝑙𝑢𝑒	NUM
fumecheng-10575	279	18	(	(	PUNCT
fumecheng-10575	279	19	15	15	NUM
fumecheng-10575	279	20	)	)	PUNCT
fumecheng-10575	279	21	fig	fig	NOUN
fumecheng-10575	279	22	.	.	PUNCT
fumecheng-10575	280	1	13	13	NUM
fumecheng-10575	280	2	illustrates	illustrate	VERB
fumecheng-10575	280	3	the	the	DET
fumecheng-10575	280	4	three	three	NUM
fumecheng-10575	280	5	different	different	ADJ
fumecheng-10575	280	6	features	feature	NOUN
fumecheng-10575	280	7	extracted	extract	VERB
fumecheng-10575	280	8	as	as	SCONJ
fumecheng-10575	280	9	shown	show	VERB
fumecheng-10575	280	10	in	in	ADP
fumecheng-10575	280	11	eqs	eqs	PROPN
fumecheng-10575	280	12	.	.	PUNCT
fumecheng-10575	281	1	(	(	PUNCT
fumecheng-10575	281	2	10	10	NUM
fumecheng-10575	281	3	)	)	PUNCT
fumecheng-10575	281	4	,	,	PUNCT
fumecheng-10575	281	5	(	(	PUNCT
fumecheng-10575	281	6	12	12	NUM
fumecheng-10575	281	7	)	)	PUNCT
fumecheng-10575	281	8	and	and	CCONJ
fumecheng-10575	281	9	(	(	PUNCT
fumecheng-10575	281	10	15	15	NUM
fumecheng-10575	281	11	)	)	PUNCT
fumecheng-10575	281	12	from	from	ADP
fumecheng-10575	281	13	sensor	sensor	NOUN
fumecheng-10575	281	14	1	1	NUM
fumecheng-10575	281	15	for	for	ADP
fumecheng-10575	281	16	the	the	DET
fumecheng-10575	281	17	detection	detection	NOUN
fumecheng-10575	281	18	of	of	ADP
fumecheng-10575	281	19	20ppm	20ppm	NUM
fumecheng-10575	281	20	of	of	ADP
fumecheng-10575	281	21	co.	co.	PROPN
fumecheng-10575	281	22	this	this	PRON
fumecheng-10575	281	23	was	be	AUX
fumecheng-10575	281	24	done	do	VERB
fumecheng-10575	281	25	for	for	ADP
fumecheng-10575	281	26	the	the	DET
fumecheng-10575	281	27	responses	response	NOUN
fumecheng-10575	281	28	from	from	ADP
fumecheng-10575	281	29	all	all	DET
fumecheng-10575	281	30	14	14	NUM
fumecheng-10575	281	31	sensors	sensor	NOUN
fumecheng-10575	281	32	for	for	ADP
fumecheng-10575	281	33	each	each	PRON
fumecheng-10575	281	34	of	of	ADP
fumecheng-10575	281	35	the	the	DET
fumecheng-10575	281	36	co	co	NOUN
fumecheng-10575	281	37	concentrations	concentration	NOUN
fumecheng-10575	281	38	,	,	PUNCT
fumecheng-10575	281	39	thereby	thereby	ADV
fumecheng-10575	281	40	,	,	PUNCT
fumecheng-10575	281	41	resulting	result	VERB
fumecheng-10575	281	42	in	in	ADP
fumecheng-10575	281	43	42	42	NUM
fumecheng-10575	281	44	features	feature	NOUN
fumecheng-10575	281	45	(	(	PUNCT
fumecheng-10575	281	46	3	3	NUM
fumecheng-10575	281	47	main	main	ADJ
fumecheng-10575	281	48	features	feature	NOUN
fumecheng-10575	281	49	x	x	NOUN
fumecheng-10575	281	50	14	14	NUM
fumecheng-10575	281	51	sensors	sensor	NOUN
fumecheng-10575	281	52	)	)	PUNCT
fumecheng-10575	281	53	to	to	PART
fumecheng-10575	281	54	be	be	AUX
fumecheng-10575	281	55	used	use	VERB
fumecheng-10575	281	56	for	for	ADP
fumecheng-10575	281	57	regression	regression	NOUN
fumecheng-10575	281	58	.	.	PUNCT
fumecheng-10575	282	1	the	the	DET
fumecheng-10575	282	2	feature	feature	NOUN
fumecheng-10575	282	3	and	and	CCONJ
fumecheng-10575	282	4	the	the	DET
fumecheng-10575	282	5	feature	feature	NOUN
fumecheng-10575	282	6	number	number	NOUN
fumecheng-10575	282	7	associated	associate	VERB
fumecheng-10575	282	8	with	with	ADP
fumecheng-10575	282	9	each	each	DET
fumecheng-10575	282	10	sensor	sensor	NOUN
fumecheng-10575	282	11	is	be	AUX
fumecheng-10575	282	12	shown	show	VERB
fumecheng-10575	282	13	in	in	ADP
fumecheng-10575	282	14	table	table	NOUN
fumecheng-10575	282	15	8	8	NUM
fumecheng-10575	283	1	.	.	PUNCT
fumecheng-10575	283	2	fig	fig	NOUN
fumecheng-10575	283	3	.	.	PUNCT
fumecheng-10575	284	1	13	13	NUM
fumecheng-10575	284	2	visual	visual	ADJ
fumecheng-10575	284	3	depiction	depiction	NOUN
fumecheng-10575	284	4	of	of	ADP
fumecheng-10575	284	5	the	the	DET
fumecheng-10575	284	6	three	three	NUM
fumecheng-10575	284	7	features	feature	NOUN
fumecheng-10575	284	8	extracted	extract	VERB
fumecheng-10575	284	9	from	from	ADP
fumecheng-10575	284	10	sensor	sensor	NOUN
fumecheng-10575	284	11	signal	signal	NOUN
fumecheng-10575	284	12	of	of	ADP
fumecheng-10575	284	13	sensor	sensor	NOUN
fumecheng-10575	284	14	1	1	NUM
fumecheng-10575	284	15	for	for	ADP
fumecheng-10575	284	16	20ppm	20ppm	NUM
fumecheng-10575	284	17	of	of	ADP
fumecheng-10575	284	18	co	co	NOUN
fumecheng-10575	284	19	table	table	NOUN
fumecheng-10575	284	20	8	8	NUM
fumecheng-10575	284	21	summary	summary	NOUN
fumecheng-10575	284	22	of	of	ADP
fumecheng-10575	284	23	the	the	DET
fumecheng-10575	284	24	complete	complete	ADJ
fumecheng-10575	284	25	feature	feature	NOUN
fumecheng-10575	284	26	set	set	VERB
fumecheng-10575	284	27	dataset	dataset	NOUN
fumecheng-10575	284	28	3	3	NUM
fumecheng-10575	284	29	sensor	sensor	NOUN
fumecheng-10575	284	30	no	no	NOUN
fumecheng-10575	284	31	.	.	PUNCT
fumecheng-10575	285	1	feature	feature	NOUN
fumecheng-10575	285	2	name	name	NOUN
fumecheng-10575	285	3	/	/	SYM
fumecheng-10575	285	4	feature	feature	NOUN
fumecheng-10575	285	5	number	number	NOUN
fumecheng-10575	285	6	sensor	sensor	NOUN
fumecheng-10575	285	7	no	no	PROPN
fumecheng-10575	285	8	.	.	PUNCT
fumecheng-10575	285	9	feature	feature	NOUN
fumecheng-10575	285	10	name	name	NOUN
fumecheng-10575	285	11	/	/	SYM
fumecheng-10575	285	12	feature	feature	NOUN
fumecheng-10575	285	13	number	number	NOUN
fumecheng-10575	285	14	maximum	maximum	ADJ
fumecheng-10575	285	15	peak	peak	NOUN
fumecheng-10575	285	16	value	value	NOUN
fumecheng-10575	285	17	drop	drop	NOUN
fumecheng-10575	285	18	value	value	NOUN
fumecheng-10575	285	19	slope	slope	NOUN
fumecheng-10575	285	20	value	value	NOUN
fumecheng-10575	285	21	maximum	maximum	ADJ
fumecheng-10575	285	22	peak	peak	NOUN
fumecheng-10575	285	23	value	value	NOUN
fumecheng-10575	285	24	drop	drop	NOUN
fumecheng-10575	285	25	value	value	NOUN
fumecheng-10575	285	26	slope	slope	NOUN
fumecheng-10575	285	27	value	value	NOUN
fumecheng-10575	285	28	1	1	NUM
fumecheng-10575	285	29	f1	f1	NOUN
fumecheng-10575	285	30	f2	f2	PROPN
fumecheng-10575	285	31	f3	f3	PROPN
fumecheng-10575	285	32	8	8	NUM
fumecheng-10575	285	33	f22	f22	NOUN
fumecheng-10575	285	34	f23	f23	PROPN
fumecheng-10575	285	35	f24	f24	PROPN
fumecheng-10575	285	36	2	2	NUM
fumecheng-10575	285	37	f4	f4	NOUN
fumecheng-10575	285	38	f5	f5	NOUN
fumecheng-10575	285	39	f6	f6	NOUN
fumecheng-10575	285	40	9	9	NUM
fumecheng-10575	285	41	f25	f25	PROPN
fumecheng-10575	285	42	f26	f26	PROPN
fumecheng-10575	285	43	f27	f27	NOUN
fumecheng-10575	285	44	3	3	NUM
fumecheng-10575	285	45	f7	f7	PROPN
fumecheng-10575	285	46	f8	f8	PROPN
fumecheng-10575	285	47	f9	f9	PROPN
fumecheng-10575	285	48	10	10	NUM
fumecheng-10575	285	49	f28	f28	PROPN
fumecheng-10575	285	50	f29	f29	NOUN
fumecheng-10575	285	51	f30	f30	NOUN
fumecheng-10575	285	52	4	4	NUM
fumecheng-10575	285	53	f10	f10	NOUN
fumecheng-10575	285	54	f11	f11	X
fumecheng-10575	285	55	f12	f12	NOUN
fumecheng-10575	285	56	11	11	NUM
fumecheng-10575	285	57	f31	f31	PROPN
fumecheng-10575	285	58	f32	f32	NOUN
fumecheng-10575	285	59	f33	f33	PROPN
fumecheng-10575	285	60	5	5	NUM
fumecheng-10575	285	61	f13	f13	PROPN
fumecheng-10575	285	62	f14	f14	PROPN
fumecheng-10575	285	63	f15	f15	PROPN
fumecheng-10575	285	64	12	12	NUM
fumecheng-10575	285	65	f34	f34	NOUN
fumecheng-10575	285	66	f35	f35	NOUN
fumecheng-10575	285	67	f36	f36	PROPN
fumecheng-10575	285	68	6	6	NUM
fumecheng-10575	285	69	f16	f16	PROPN
fumecheng-10575	285	70	f17	f17	PROPN
fumecheng-10575	285	71	f18	f18	PROPN
fumecheng-10575	285	72	13	13	NUM
fumecheng-10575	285	73	f37	f37	NOUN
fumecheng-10575	285	74	f38	f38	NOUN
fumecheng-10575	285	75	f39	f39	VERB
fumecheng-10575	285	76	7	7	NUM
fumecheng-10575	285	77	f19	f19	PROPN
fumecheng-10575	285	78	f20	f20	NOUN
fumecheng-10575	285	79	f21	f21	PROPN
fumecheng-10575	285	80	14	14	NUM
fumecheng-10575	285	81	f40	f40	PROPN
fumecheng-10575	285	82	f41	f41	NOUN
fumecheng-10575	285	83	f42	f42	PROPN
fumecheng-10575	285	84	498	498	NUM
fumecheng-10575	285	85	l.	l.	PROPN
fumecheng-10575	285	86	mahmood	mahmood	PROPN
fumecheng-10575	285	87	,	,	PUNCT
fumecheng-10575	285	88	z.	z.	PROPN
fumecheng-10575	285	89	bahroun	bahroun	PROPN
fumecheng-10575	285	90	,	,	PUNCT
fumecheng-10575	285	91	m.	m.	NOUN
fumecheng-10575	285	92	ghommem	ghommem	PROPN
fumecheng-10575	285	93	,	,	PUNCT
fumecheng-10575	285	94	h.	h.	PROPN
fumecheng-10575	285	95	alshraideh	alshraideh	PROPN
fumecheng-10575	285	96	3.3.2	3.3.2	X
fumecheng-10575	285	97	.	.	PUNCT
fumecheng-10575	286	1	machine	machine	NOUN
fumecheng-10575	286	2	learning	learning	NOUN
fumecheng-10575	286	3	–	–	PUNCT
fumecheng-10575	286	4	regression	regression	VERB
fumecheng-10575	286	5	the	the	DET
fumecheng-10575	286	6	complete	complete	ADJ
fumecheng-10575	286	7	dataset	dataset	NOUN
fumecheng-10575	286	8	of	of	ADP
fumecheng-10575	286	9	42	42	NUM
fumecheng-10575	286	10	features	feature	NOUN
fumecheng-10575	286	11	with	with	ADP
fumecheng-10575	286	12	1,300	1,300	NUM
fumecheng-10575	286	13	measurement	measurement	NOUN
fumecheng-10575	286	14	samples	sample	NOUN
fumecheng-10575	286	15	was	be	AUX
fumecheng-10575	286	16	used	use	VERB
fumecheng-10575	286	17	for	for	ADP
fumecheng-10575	286	18	regression	regression	NOUN
fumecheng-10575	286	19	.	.	PUNCT
fumecheng-10575	287	1	the	the	DET
fumecheng-10575	287	2	dataset	dataset	NOUN
fumecheng-10575	287	3	was	be	AUX
fumecheng-10575	287	4	split	split	VERB
fumecheng-10575	287	5	using	use	VERB
fumecheng-10575	287	6	the	the	DET
fumecheng-10575	287	7	70:30	70:30	NUM
fumecheng-10575	287	8	ratio	ratio	NOUN
fumecheng-10575	287	9	,	,	PUNCT
fumecheng-10575	287	10	where	where	SCONJ
fumecheng-10575	287	11	70	70	NUM
fumecheng-10575	287	12	%	%	NOUN
fumecheng-10575	287	13	of	of	ADP
fumecheng-10575	287	14	the	the	DET
fumecheng-10575	287	15	original	original	ADJ
fumecheng-10575	287	16	dataset	dataset	NOUN
fumecheng-10575	287	17	was	be	AUX
fumecheng-10575	287	18	reserved	reserve	VERB
fumecheng-10575	287	19	for	for	ADP
fumecheng-10575	287	20	training	training	NOUN
fumecheng-10575	287	21	and	and	CCONJ
fumecheng-10575	287	22	the	the	DET
fumecheng-10575	287	23	remaining	remain	VERB
fumecheng-10575	287	24	30	30	NUM
fumecheng-10575	287	25	%	%	NOUN
fumecheng-10575	287	26	was	be	AUX
fumecheng-10575	287	27	used	use	VERB
fumecheng-10575	287	28	for	for	ADP
fumecheng-10575	287	29	testing	test	VERB
fumecheng-10575	287	30	the	the	DET
fumecheng-10575	287	31	machine	machine	NOUN
fumecheng-10575	287	32	learning	learning	NOUN
fumecheng-10575	287	33	models	model	NOUN
fumecheng-10575	287	34	.	.	PUNCT
fumecheng-10575	288	1	both	both	DET
fumecheng-10575	288	2	,	,	PUNCT
fumecheng-10575	288	3	classical	classical	ADJ
fumecheng-10575	288	4	models	model	NOUN
fumecheng-10575	288	5	such	such	ADJ
fumecheng-10575	288	6	as	as	ADP
fumecheng-10575	288	7	dt	dt	PROPN
fumecheng-10575	288	8	,	,	PUNCT
fumecheng-10575	288	9	knn	knn	PROPN
fumecheng-10575	288	10	,	,	PUNCT
fumecheng-10575	288	11	svm	svm	PROPN
fumecheng-10575	288	12	,	,	PUNCT
fumecheng-10575	288	13	ann	ann	PROPN
fumecheng-10575	288	14	and	and	CCONJ
fumecheng-10575	288	15	ensemble	ensemble	ADJ
fumecheng-10575	288	16	machine	machine	NOUN
fumecheng-10575	288	17	learning	learning	NOUN
fumecheng-10575	288	18	models	model	NOUN
fumecheng-10575	288	19	such	such	ADJ
fumecheng-10575	288	20	as	as	ADP
fumecheng-10575	288	21	rf	rf	NOUN
fumecheng-10575	288	22	,	,	PUNCT
fumecheng-10575	288	23	voting	voting	NOUN
fumecheng-10575	288	24	and	and	CCONJ
fumecheng-10575	288	25	bagging	bagging	NOUN
fumecheng-10575	288	26	were	be	AUX
fumecheng-10575	288	27	used	use	VERB
fumecheng-10575	288	28	to	to	PART
fumecheng-10575	288	29	perform	perform	VERB
fumecheng-10575	288	30	the	the	DET
fumecheng-10575	288	31	regression	regression	NOUN
fumecheng-10575	288	32	,	,	PUNCT
fumecheng-10575	288	33	wherein	wherein	ADJ
fumecheng-10575	288	34	,	,	PUNCT
fumecheng-10575	288	35	the	the	DET
fumecheng-10575	288	36	performance	performance	NOUN
fumecheng-10575	288	37	of	of	ADP
fumecheng-10575	288	38	the	the	DET
fumecheng-10575	288	39	models	model	NOUN
fumecheng-10575	288	40	was	be	AUX
fumecheng-10575	288	41	compared	compare	VERB
fumecheng-10575	288	42	using	use	VERB
fumecheng-10575	288	43	the	the	DET
fumecheng-10575	288	44	symmetric	symmetric	ADJ
fumecheng-10575	288	45	mean	mean	ADJ
fumecheng-10575	288	46	absolute	absolute	ADJ
fumecheng-10575	288	47	percentage	percentage	NOUN
fumecheng-10575	288	48	error	error	NOUN
fumecheng-10575	288	49	(	(	PUNCT
fumecheng-10575	288	50	smape	smape	NOUN
fumecheng-10575	288	51	)	)	PUNCT
fumecheng-10575	288	52	to	to	PART
fumecheng-10575	288	53	account	account	VERB
fumecheng-10575	288	54	for	for	ADP
fumecheng-10575	288	55	0ppm	0ppm	NUM
fumecheng-10575	288	56	concentrations	concentration	NOUN
fumecheng-10575	288	57	present	present	ADJ
fumecheng-10575	288	58	in	in	ADP
fumecheng-10575	288	59	the	the	DET
fumecheng-10575	288	60	dataset	dataset	NOUN
fumecheng-10575	288	61	.	.	PUNCT
fumecheng-10575	289	1	results	result	NOUN
fumecheng-10575	289	2	of	of	ADP
fumecheng-10575	289	3	regression	regression	NOUN
fumecheng-10575	289	4	are	be	AUX
fumecheng-10575	289	5	shown	show	VERB
fumecheng-10575	289	6	in	in	ADP
fumecheng-10575	289	7	fig	fig	NOUN
fumecheng-10575	289	8	.	.	PUNCT
fumecheng-10575	290	1	14	14	NUM
fumecheng-10575	290	2	,	,	PUNCT
fumecheng-10575	290	3	where	where	SCONJ
fumecheng-10575	290	4	the	the	DET
fumecheng-10575	290	5	smapes	smape	NOUN
fumecheng-10575	290	6	for	for	ADP
fumecheng-10575	290	7	all	all	DET
fumecheng-10575	290	8	the	the	DET
fumecheng-10575	290	9	models	model	NOUN
fumecheng-10575	290	10	hovered	hover	VERB
fumecheng-10575	290	11	around	around	ADV
fumecheng-10575	290	12	60	60	NUM
fumecheng-10575	290	13	%	%	NOUN
fumecheng-10575	290	14	.	.	PUNCT
fumecheng-10575	291	1	however	however	ADV
fumecheng-10575	291	2	,	,	PUNCT
fumecheng-10575	291	3	the	the	DET
fumecheng-10575	291	4	lowest	low	ADJ
fumecheng-10575	291	5	smape	smape	NOUN
fumecheng-10575	291	6	was	be	AUX
fumecheng-10575	291	7	attained	attain	VERB
fumecheng-10575	291	8	by	by	ADP
fumecheng-10575	291	9	rf	rf	ADJ
fumecheng-10575	291	10	(	(	PUNCT
fumecheng-10575	291	11	smape	smape	NOUN
fumecheng-10575	291	12	of	of	ADP
fumecheng-10575	291	13	58.82	58.82	NUM
fumecheng-10575	291	14	%	%	NOUN
fumecheng-10575	291	15	)	)	PUNCT
fumecheng-10575	291	16	,	,	PUNCT
fumecheng-10575	291	17	followed	follow	VERB
fumecheng-10575	291	18	by	by	ADP
fumecheng-10575	291	19	bagging	bag	VERB
fumecheng-10575	291	20	using	use	VERB
fumecheng-10575	291	21	rf	rf	ADJ
fumecheng-10575	291	22	(	(	PUNCT
fumecheng-10575	291	23	smape	smape	NOUN
fumecheng-10575	291	24	of	of	ADP
fumecheng-10575	291	25	60.28	60.28	NUM
fumecheng-10575	291	26	%	%	NOUN
fumecheng-10575	291	27	)	)	PUNCT
fumecheng-10575	291	28	.	.	PUNCT
fumecheng-10575	292	1	hyperparameter	hyperparameter	NOUN
fumecheng-10575	292	2	tuning	tune	VERB
fumecheng-10575	292	3	for	for	ADP
fumecheng-10575	292	4	rf	rf	NUM
fumecheng-10575	292	5	resulted	result	VERB
fumecheng-10575	292	6	in	in	ADP
fumecheng-10575	292	7	an	an	DET
fumecheng-10575	292	8	optimal	optimal	ADJ
fumecheng-10575	292	9	value	value	NOUN
fumecheng-10575	292	10	of	of	ADP
fumecheng-10575	292	11	48	48	NUM
fumecheng-10575	292	12	trees	tree	NOUN
fumecheng-10575	292	13	,	,	PUNCT
fumecheng-10575	292	14	whereas	whereas	SCONJ
fumecheng-10575	292	15	,	,	PUNCT
fumecheng-10575	292	16	the	the	DET
fumecheng-10575	292	17	hyperparameters	hyperparameter	NOUN
fumecheng-10575	292	18	for	for	ADP
fumecheng-10575	292	19	ann	ann	PROPN
fumecheng-10575	292	20	were	be	AUX
fumecheng-10575	292	21	tuned	tune	VERB
fumecheng-10575	292	22	to	to	ADP
fumecheng-10575	292	23	2	2	NUM
fumecheng-10575	292	24	hidden	hidden	ADJ
fumecheng-10575	292	25	layers	layer	NOUN
fumecheng-10575	292	26	with	with	ADP
fumecheng-10575	292	27	2	2	NUM
fumecheng-10575	292	28	neurons	neuron	NOUN
fumecheng-10575	292	29	each	each	PRON
fumecheng-10575	292	30	.	.	PUNCT
fumecheng-10575	293	1	for	for	ADP
fumecheng-10575	293	2	knn	knn	PROPN
fumecheng-10575	293	3	,	,	PUNCT
fumecheng-10575	293	4	the	the	DET
fumecheng-10575	293	5	optimal	optimal	ADJ
fumecheng-10575	293	6	value	value	NOUN
fumecheng-10575	293	7	of	of	ADP
fumecheng-10575	293	8	k	k	PROPN
fumecheng-10575	293	9	was	be	AUX
fumecheng-10575	293	10	found	find	VERB
fumecheng-10575	293	11	to	to	PART
fumecheng-10575	293	12	be	be	AUX
fumecheng-10575	293	13	7	7	NUM
fumecheng-10575	293	14	with	with	ADP
fumecheng-10575	293	15	manhattan	manhattan	PROPN
fumecheng-10575	293	16	distance	distance	NOUN
fumecheng-10575	293	17	.	.	PUNCT
fumecheng-10575	294	1	the	the	DET
fumecheng-10575	294	2	dataset	dataset	NOUN
fumecheng-10575	294	3	contains	contain	VERB
fumecheng-10575	294	4	10	10	NUM
fumecheng-10575	294	5	repetitions	repetition	NOUN
fumecheng-10575	294	6	for	for	ADP
fumecheng-10575	294	7	each	each	DET
fumecheng-10575	294	8	concentration	concentration	NOUN
fumecheng-10575	294	9	of	of	ADP
fumecheng-10575	294	10	co	co	NOUN
fumecheng-10575	294	11	with	with	ADP
fumecheng-10575	294	12	varying	vary	VERB
fumecheng-10575	294	13	levels	level	NOUN
fumecheng-10575	294	14	of	of	ADP
fumecheng-10575	294	15	humidity	humidity	NOUN
fumecheng-10575	294	16	for	for	ADP
fumecheng-10575	294	17	each	each	DET
fumecheng-10575	294	18	repetition	repetition	NOUN
fumecheng-10575	294	19	.	.	PUNCT
fumecheng-10575	295	1	as	as	ADP
fumecheng-10575	295	2	a	a	DET
fumecheng-10575	295	3	result	result	NOUN
fumecheng-10575	295	4	,	,	PUNCT
fumecheng-10575	295	5	the	the	DET
fumecheng-10575	295	6	high	high	ADJ
fumecheng-10575	295	7	smapes	smape	NOUN
fumecheng-10575	295	8	can	can	AUX
fumecheng-10575	295	9	be	be	AUX
fumecheng-10575	295	10	attributed	attribute	VERB
fumecheng-10575	295	11	to	to	ADP
fumecheng-10575	295	12	the	the	DET
fumecheng-10575	295	13	lack	lack	NOUN
fumecheng-10575	295	14	of	of	ADP
fumecheng-10575	295	15	repeatability	repeatability	NOUN
fumecheng-10575	295	16	in	in	ADP
fumecheng-10575	295	17	the	the	DET
fumecheng-10575	295	18	sensor	sensor	NOUN
fumecheng-10575	295	19	responses	response	NOUN
fumecheng-10575	295	20	due	due	ADJ
fumecheng-10575	295	21	to	to	ADP
fumecheng-10575	295	22	fluctuating	fluctuate	VERB
fumecheng-10575	295	23	humidity	humidity	NOUN
fumecheng-10575	295	24	levels	level	NOUN
fumecheng-10575	295	25	.	.	PUNCT
fumecheng-10575	296	1	when	when	SCONJ
fumecheng-10575	296	2	determining	determine	VERB
fumecheng-10575	296	3	the	the	DET
fumecheng-10575	296	4	weights	weight	NOUN
fumecheng-10575	296	5	of	of	ADP
fumecheng-10575	296	6	the	the	DET
fumecheng-10575	296	7	features	feature	NOUN
fumecheng-10575	296	8	using	use	VERB
fumecheng-10575	296	9	correlation	correlation	NOUN
fumecheng-10575	296	10	,	,	PUNCT
fumecheng-10575	296	11	each	each	DET
fumecheng-10575	296	12	type	type	NOUN
fumecheng-10575	296	13	of	of	ADP
fumecheng-10575	296	14	feature	feature	NOUN
fumecheng-10575	296	15	,	,	PUNCT
fumecheng-10575	296	16	i.e.	i.e.	X
fumecheng-10575	296	17	,	,	PUNCT
fumecheng-10575	296	18	the	the	DET
fumecheng-10575	296	19	drop	drop	NOUN
fumecheng-10575	296	20	value	value	NOUN
fumecheng-10575	296	21	,	,	PUNCT
fumecheng-10575	296	22	the	the	DET
fumecheng-10575	296	23	slope	slope	NOUN
fumecheng-10575	296	24	value	value	NOUN
fumecheng-10575	296	25	and	and	CCONJ
fumecheng-10575	296	26	the	the	DET
fumecheng-10575	296	27	peak	peak	NOUN
fumecheng-10575	296	28	value	value	NOUN
fumecheng-10575	296	29	accounted	account	VERB
fumecheng-10575	296	30	for	for	ADP
fumecheng-10575	296	31	an	an	DET
fumecheng-10575	296	32	equal	equal	ADJ
fumecheng-10575	296	33	portion	portion	NOUN
fumecheng-10575	296	34	of	of	ADP
fumecheng-10575	296	35	the	the	DET
fumecheng-10575	296	36	top	top	ADJ
fumecheng-10575	296	37	21	21	NUM
fumecheng-10575	296	38	features	feature	NOUN
fumecheng-10575	296	39	(	(	PUNCT
fumecheng-10575	296	40	33.3	33.3	NUM
fumecheng-10575	296	41	%	%	NOUN
fumecheng-10575	296	42	each	each	PRON
fumecheng-10575	296	43	)	)	PUNCT
fumecheng-10575	296	44	,	,	PUNCT
fumecheng-10575	296	45	which	which	PRON
fumecheng-10575	296	46	highlights	highlight	VERB
fumecheng-10575	296	47	their	their	PRON
fumecheng-10575	296	48	equal	equal	ADJ
fumecheng-10575	296	49	importance	importance	NOUN
fumecheng-10575	296	50	for	for	ADP
fumecheng-10575	296	51	regression	regression	NOUN
fumecheng-10575	296	52	.	.	PUNCT
fumecheng-10575	297	1	furthermore	furthermore	ADV
fumecheng-10575	297	2	,	,	PUNCT
fumecheng-10575	297	3	to	to	PART
fumecheng-10575	297	4	alleviate	alleviate	VERB
fumecheng-10575	297	5	the	the	DET
fumecheng-10575	297	6	impact	impact	NOUN
fumecheng-10575	297	7	of	of	ADP
fumecheng-10575	297	8	high	high	ADJ
fumecheng-10575	297	9	smapes	smape	NOUN
fumecheng-10575	297	10	,	,	PUNCT
fumecheng-10575	297	11	sfs	sfs	PROPN
fumecheng-10575	297	12	and	and	CCONJ
fumecheng-10575	297	13	sbe	sbe	PROPN
fumecheng-10575	297	14	were	be	AUX
fumecheng-10575	297	15	implemented	implement	VERB
fumecheng-10575	297	16	to	to	PART
fumecheng-10575	297	17	reflect	reflect	VERB
fumecheng-10575	297	18	on	on	ADP
fumecheng-10575	297	19	any	any	DET
fumecheng-10575	297	20	performance	performance	NOUN
fumecheng-10575	297	21	improvement	improvement	NOUN
fumecheng-10575	297	22	that	that	PRON
fumecheng-10575	297	23	could	could	AUX
fumecheng-10575	297	24	be	be	AUX
fumecheng-10575	297	25	achieved	achieve	VERB
fumecheng-10575	297	26	.	.	PUNCT
fumecheng-10575	298	1	the	the	DET
fumecheng-10575	298	2	results	result	NOUN
fumecheng-10575	298	3	of	of	ADP
fumecheng-10575	298	4	using	use	VERB
fumecheng-10575	298	5	sfs	sfs	PROPN
fumecheng-10575	298	6	and	and	CCONJ
fumecheng-10575	298	7	sbe	sbe	PROPN
fumecheng-10575	298	8	indicated	indicate	VERB
fumecheng-10575	298	9	that	that	SCONJ
fumecheng-10575	298	10	feature	feature	NOUN
fumecheng-10575	298	11	selection	selection	NOUN
fumecheng-10575	298	12	proved	prove	VERB
fumecheng-10575	298	13	to	to	PART
fumecheng-10575	298	14	be	be	AUX
fumecheng-10575	298	15	successful	successful	ADJ
fumecheng-10575	298	16	in	in	ADP
fumecheng-10575	298	17	reducing	reduce	VERB
fumecheng-10575	298	18	the	the	DET
fumecheng-10575	298	19	smape	smape	NOUN
fumecheng-10575	298	20	for	for	ADP
fumecheng-10575	298	21	all	all	DET
fumecheng-10575	298	22	the	the	DET
fumecheng-10575	298	23	models	model	NOUN
fumecheng-10575	298	24	.	.	PUNCT
fumecheng-10575	299	1	for	for	ADP
fumecheng-10575	299	2	some	some	DET
fumecheng-10575	299	3	models	model	NOUN
fumecheng-10575	299	4	such	such	ADJ
fumecheng-10575	299	5	as	as	ADP
fumecheng-10575	299	6	bagging	bagging	NOUN
fumecheng-10575	299	7	using	use	VERB
fumecheng-10575	299	8	rf	rf	NOUN
fumecheng-10575	299	9	,	,	PUNCT
fumecheng-10575	299	10	the	the	DET
fumecheng-10575	299	11	smape	smape	NOUN
fumecheng-10575	299	12	reduced	reduce	VERB
fumecheng-10575	299	13	significantly	significantly	ADV
fumecheng-10575	299	14	from	from	ADP
fumecheng-10575	299	15	60.28	60.28	NUM
fumecheng-10575	299	16	%	%	NOUN
fumecheng-10575	299	17	to	to	ADP
fumecheng-10575	299	18	55.73	55.73	NUM
fumecheng-10575	299	19	%	%	NOUN
fumecheng-10575	299	20	and	and	CCONJ
fumecheng-10575	299	21	rf	rf	NOUN
fumecheng-10575	299	22	,	,	PUNCT
fumecheng-10575	299	23	where	where	SCONJ
fumecheng-10575	299	24	the	the	DET
fumecheng-10575	299	25	smape	smape	NOUN
fumecheng-10575	299	26	reduced	reduce	VERB
fumecheng-10575	299	27	to	to	ADP
fumecheng-10575	299	28	52.71	52.71	NUM
fumecheng-10575	299	29	%	%	NOUN
fumecheng-10575	299	30	from	from	ADP
fumecheng-10575	299	31	58.82	58.82	NUM
fumecheng-10575	299	32	%	%	NOUN
fumecheng-10575	299	33	.	.	PUNCT
fumecheng-10575	300	1	however	however	ADV
fumecheng-10575	300	2	,	,	PUNCT
fumecheng-10575	300	3	for	for	ADP
fumecheng-10575	300	4	some	some	DET
fumecheng-10575	300	5	models	model	NOUN
fumecheng-10575	300	6	such	such	ADJ
fumecheng-10575	300	7	as	as	ADP
fumecheng-10575	300	8	svm	svm	ADJ
fumecheng-10575	300	9	,	,	PUNCT
fumecheng-10575	300	10	the	the	DET
fumecheng-10575	300	11	smape	smape	NOUN
fumecheng-10575	300	12	remained	remain	VERB
fumecheng-10575	300	13	almost	almost	ADV
fumecheng-10575	300	14	the	the	DET
fumecheng-10575	300	15	same	same	ADJ
fumecheng-10575	300	16	irrespective	irrespective	ADV
fumecheng-10575	300	17	of	of	ADP
fumecheng-10575	300	18	feature	feature	NOUN
fumecheng-10575	300	19	selection	selection	NOUN
fumecheng-10575	300	20	.	.	PUNCT
fumecheng-10575	301	1	in	in	ADP
fumecheng-10575	301	2	any	any	DET
fumecheng-10575	301	3	case	case	NOUN
fumecheng-10575	301	4	,	,	PUNCT
fumecheng-10575	301	5	the	the	DET
fumecheng-10575	301	6	best	well	ADV
fumecheng-10575	301	7	performing	performing	NOUN
fumecheng-10575	301	8	models	model	NOUN
fumecheng-10575	301	9	were	be	AUX
fumecheng-10575	301	10	found	find	VERB
fumecheng-10575	301	11	to	to	PART
fumecheng-10575	301	12	be	be	AUX
fumecheng-10575	301	13	the	the	DET
fumecheng-10575	301	14	rf	rf	NOUN
fumecheng-10575	301	15	,	,	PUNCT
fumecheng-10575	301	16	bagging	bagging	NOUN
fumecheng-10575	301	17	using	use	VERB
fumecheng-10575	301	18	rf	rf	NOUN
fumecheng-10575	301	19	,	,	PUNCT
fumecheng-10575	301	20	knn	knn	PROPN
fumecheng-10575	301	21	and	and	CCONJ
fumecheng-10575	301	22	ann	ann	PROPN
fumecheng-10575	301	23	models	model	NOUN
fumecheng-10575	301	24	.	.	PUNCT
fumecheng-10575	302	1	using	use	VERB
fumecheng-10575	302	2	sfs	sfs	PROPN
fumecheng-10575	302	3	,	,	PUNCT
fumecheng-10575	302	4	the	the	DET
fumecheng-10575	302	5	three	three	NUM
fumecheng-10575	302	6	types	type	NOUN
fumecheng-10575	302	7	of	of	ADP
fumecheng-10575	302	8	features	feature	NOUN
fumecheng-10575	302	9	in	in	ADP
fumecheng-10575	302	10	the	the	DET
fumecheng-10575	302	11	dataset	dataset	NOUN
fumecheng-10575	302	12	were	be	AUX
fumecheng-10575	302	13	equally	equally	ADV
fumecheng-10575	302	14	present	present	ADJ
fumecheng-10575	302	15	in	in	ADP
fumecheng-10575	302	16	most	most	ADJ
fumecheng-10575	302	17	of	of	ADP
fumecheng-10575	302	18	the	the	DET
fumecheng-10575	302	19	cases	case	NOUN
fumecheng-10575	302	20	,	,	PUNCT
fumecheng-10575	302	21	whereas	whereas	ADV
fumecheng-10575	302	22	,	,	PUNCT
fumecheng-10575	302	23	for	for	ADP
fumecheng-10575	302	24	sbe	sbe	PROPN
fumecheng-10575	302	25	,	,	PUNCT
fumecheng-10575	302	26	an	an	DET
fumecheng-10575	302	27	equal	equal	ADJ
fumecheng-10575	302	28	number	number	NOUN
fumecheng-10575	302	29	of	of	ADP
fumecheng-10575	302	30	all	all	DET
fumecheng-10575	302	31	the	the	DET
fumecheng-10575	302	32	three	three	NUM
fumecheng-10575	302	33	features	feature	NOUN
fumecheng-10575	302	34	were	be	AUX
fumecheng-10575	302	35	dropped	drop	VERB
fumecheng-10575	302	36	while	while	SCONJ
fumecheng-10575	302	37	training	train	VERB
fumecheng-10575	302	38	the	the	DET
fumecheng-10575	302	39	models	model	NOUN
fumecheng-10575	302	40	.	.	PUNCT
fumecheng-10575	303	1	fig	fig	NOUN
fumecheng-10575	303	2	.	.	PUNCT
fumecheng-10575	304	1	14	14	NUM
fumecheng-10575	304	2	regression	regression	NOUN
fumecheng-10575	304	3	performance	performance	NOUN
fumecheng-10575	304	4	of	of	ADP
fumecheng-10575	304	5	machine	machine	NOUN
fumecheng-10575	304	6	learning	learning	NOUN
fumecheng-10575	304	7	models	model	NOUN
fumecheng-10575	304	8	–	–	PUNCT
fumecheng-10575	304	9	dataset	dataset	VERB
fumecheng-10575	304	10	3	3	NUM
fumecheng-10575	304	11	assessment	assessment	NOUN
fumecheng-10575	304	12	and	and	CCONJ
fumecheng-10575	304	13	performance	performance	NOUN
fumecheng-10575	304	14	analysis	analysis	NOUN
fumecheng-10575	304	15	of	of	ADP
fumecheng-10575	304	16	machine	machine	NOUN
fumecheng-10575	304	17	learning	learn	VERB
fumecheng-10575	304	18	techniques	technique	NOUN
fumecheng-10575	304	19	for	for	ADP
fumecheng-10575	304	20	gas	gas	NOUN
fumecheng-10575	304	21	sensing	sense	VERB
fumecheng-10575	304	22	e	e	NOUN
fumecheng-10575	304	23	-	-	NOUN
fumecheng-10575	304	24	nose	nose	NOUN
fumecheng-10575	304	25	...	...	PUNCT
fumecheng-10575	304	26	499	499	NUM
fumecheng-10575	304	27	using	use	VERB
fumecheng-10575	304	28	pca	pca	NOUN
fumecheng-10575	304	29	,	,	PUNCT
fumecheng-10575	304	30	19	19	NUM
fumecheng-10575	304	31	pcs	pc	NOUN
fumecheng-10575	304	32	were	be	AUX
fumecheng-10575	304	33	used	use	VERB
fumecheng-10575	304	34	along	along	ADP
fumecheng-10575	304	35	with	with	ADP
fumecheng-10575	304	36	the	the	DET
fumecheng-10575	304	37	models	model	NOUN
fumecheng-10575	304	38	to	to	PART
fumecheng-10575	304	39	achieve	achieve	VERB
fumecheng-10575	304	40	a	a	DET
fumecheng-10575	304	41	95	95	NUM
fumecheng-10575	304	42	%	%	NOUN
fumecheng-10575	304	43	variance	variance	NOUN
fumecheng-10575	304	44	,	,	PUNCT
fumecheng-10575	304	45	where	where	SCONJ
fumecheng-10575	304	46	models	model	NOUN
fumecheng-10575	304	47	of	of	ADP
fumecheng-10575	304	48	rf	rf	ADJ
fumecheng-10575	304	49	(	(	PUNCT
fumecheng-10575	304	50	smape	smape	NOUN
fumecheng-10575	304	51	of	of	ADP
fumecheng-10575	304	52	51.82	51.82	NUM
fumecheng-10575	304	53	%	%	NOUN
fumecheng-10575	304	54	)	)	PUNCT
fumecheng-10575	304	55	,	,	PUNCT
fumecheng-10575	304	56	knn	knn	PROPN
fumecheng-10575	304	57	(	(	PUNCT
fumecheng-10575	304	58	smape	smape	NOUN
fumecheng-10575	304	59	of	of	ADP
fumecheng-10575	304	60	56.81	56.81	NUM
fumecheng-10575	304	61	%	%	NOUN
fumecheng-10575	304	62	)	)	PUNCT
fumecheng-10575	304	63	and	and	CCONJ
fumecheng-10575	304	64	bagging	bagging	NOUN
fumecheng-10575	304	65	using	use	VERB
fumecheng-10575	304	66	rf	rf	ADJ
fumecheng-10575	304	67	(	(	PUNCT
fumecheng-10575	304	68	smape	smape	NOUN
fumecheng-10575	304	69	of	of	ADP
fumecheng-10575	304	70	54.12	54.12	NUM
fumecheng-10575	304	71	%	%	NOUN
fumecheng-10575	304	72	)	)	PUNCT
fumecheng-10575	304	73	provided	provide	VERB
fumecheng-10575	304	74	the	the	DET
fumecheng-10575	304	75	lowest	low	ADJ
fumecheng-10575	304	76	smapes	smape	NOUN
fumecheng-10575	304	77	.	.	PUNCT
fumecheng-10575	305	1	in	in	ADP
fumecheng-10575	305	2	other	other	ADJ
fumecheng-10575	305	3	cases	case	NOUN
fumecheng-10575	305	4	,	,	PUNCT
fumecheng-10575	305	5	the	the	DET
fumecheng-10575	305	6	error	error	NOUN
fumecheng-10575	305	7	remained	remain	VERB
fumecheng-10575	305	8	the	the	DET
fumecheng-10575	305	9	same	same	ADJ
fumecheng-10575	305	10	or	or	CCONJ
fumecheng-10575	305	11	slightly	slightly	ADV
fumecheng-10575	305	12	decreased	decrease	VERB
fumecheng-10575	305	13	.	.	PUNCT
fumecheng-10575	306	1	this	this	PRON
fumecheng-10575	306	2	shows	show	VERB
fumecheng-10575	306	3	that	that	SCONJ
fumecheng-10575	306	4	for	for	ADP
fumecheng-10575	306	5	rf	rf	NOUN
fumecheng-10575	306	6	,	,	PUNCT
fumecheng-10575	306	7	knn	knn	PROPN
fumecheng-10575	306	8	and	and	CCONJ
fumecheng-10575	306	9	bagging	bagging	NOUN
fumecheng-10575	306	10	using	use	VERB
fumecheng-10575	306	11	rf	rf	NOUN
fumecheng-10575	306	12	,	,	PUNCT
fumecheng-10575	306	13	a	a	DET
fumecheng-10575	306	14	linear	linear	ADJ
fumecheng-10575	306	15	combination	combination	NOUN
fumecheng-10575	306	16	of	of	ADP
fumecheng-10575	306	17	the	the	DET
fumecheng-10575	306	18	features	feature	NOUN
fumecheng-10575	306	19	through	through	ADP
fumecheng-10575	306	20	pca	pca	PROPN
fumecheng-10575	306	21	could	could	AUX
fumecheng-10575	306	22	be	be	AUX
fumecheng-10575	306	23	used	use	VERB
fumecheng-10575	306	24	to	to	PART
fumecheng-10575	306	25	obtain	obtain	VERB
fumecheng-10575	306	26	a	a	DET
fumecheng-10575	306	27	better	well	ADJ
fumecheng-10575	306	28	performance	performance	NOUN
fumecheng-10575	306	29	,	,	PUNCT
fumecheng-10575	306	30	whereas	whereas	SCONJ
fumecheng-10575	306	31	,	,	PUNCT
fumecheng-10575	306	32	the	the	DET
fumecheng-10575	306	33	remaining	remain	VERB
fumecheng-10575	306	34	models	model	NOUN
fumecheng-10575	306	35	relied	rely	VERB
fumecheng-10575	306	36	on	on	ADP
fumecheng-10575	306	37	the	the	DET
fumecheng-10575	306	38	original	original	ADJ
fumecheng-10575	306	39	feature	feature	NOUN
fumecheng-10575	306	40	dataset	dataset	VERB
fumecheng-10575	306	41	to	to	PART
fumecheng-10575	306	42	estimate	estimate	VERB
fumecheng-10575	306	43	the	the	DET
fumecheng-10575	306	44	concentrations	concentration	NOUN
fumecheng-10575	306	45	of	of	ADP
fumecheng-10575	306	46	co.	co.	PROPN
fumecheng-10575	306	47	on	on	ADP
fumecheng-10575	306	48	further	further	ADJ
fumecheng-10575	306	49	observation	observation	NOUN
fumecheng-10575	306	50	,	,	PUNCT
fumecheng-10575	306	51	our	our	PRON
fumecheng-10575	306	52	results	result	NOUN
fumecheng-10575	306	53	indicate	indicate	VERB
fumecheng-10575	306	54	the	the	DET
fumecheng-10575	306	55	ability	ability	NOUN
fumecheng-10575	306	56	of	of	ADP
fumecheng-10575	306	57	the	the	DET
fumecheng-10575	306	58	implemented	implement	VERB
fumecheng-10575	306	59	models	model	NOUN
fumecheng-10575	306	60	to	to	PART
fumecheng-10575	306	61	be	be	AUX
fumecheng-10575	306	62	applied	apply	VERB
fumecheng-10575	306	63	to	to	ADP
fumecheng-10575	306	64	regression	regression	NOUN
fumecheng-10575	306	65	tasks	task	NOUN
fumecheng-10575	306	66	.	.	PUNCT
fumecheng-10575	307	1	they	they	PRON
fumecheng-10575	307	2	also	also	ADV
fumecheng-10575	307	3	highlight	highlight	VERB
fumecheng-10575	307	4	the	the	DET
fumecheng-10575	307	5	importance	importance	NOUN
fumecheng-10575	307	6	of	of	ADP
fumecheng-10575	307	7	feature	feature	NOUN
fumecheng-10575	307	8	selection	selection	NOUN
fumecheng-10575	307	9	and	and	CCONJ
fumecheng-10575	307	10	pca	pca	NOUN
fumecheng-10575	307	11	in	in	ADP
fumecheng-10575	307	12	reducing	reduce	VERB
fumecheng-10575	307	13	computational	computational	ADJ
fumecheng-10575	307	14	time	time	NOUN
fumecheng-10575	307	15	to	to	PART
fumecheng-10575	307	16	improve	improve	VERB
fumecheng-10575	307	17	the	the	DET
fumecheng-10575	307	18	model	model	NOUN
fumecheng-10575	307	19	performance	performance	NOUN
fumecheng-10575	307	20	.	.	PUNCT
fumecheng-10575	308	1	consequently	consequently	ADV
fumecheng-10575	308	2	,	,	PUNCT
fumecheng-10575	308	3	other	other	ADJ
fumecheng-10575	308	4	factors	factor	NOUN
fumecheng-10575	308	5	that	that	PRON
fumecheng-10575	308	6	might	might	AUX
fumecheng-10575	308	7	have	have	AUX
fumecheng-10575	308	8	played	play	VERB
fumecheng-10575	308	9	a	a	DET
fumecheng-10575	308	10	crucial	crucial	ADJ
fumecheng-10575	308	11	role	role	NOUN
fumecheng-10575	308	12	could	could	AUX
fumecheng-10575	308	13	be	be	AUX
fumecheng-10575	308	14	the	the	DET
fumecheng-10575	308	15	sensor	sensor	NOUN
fumecheng-10575	308	16	data	data	VERB
fumecheng-10575	308	17	itself	itself	PRON
fumecheng-10575	308	18	.	.	PUNCT
fumecheng-10575	309	1	the	the	DET
fumecheng-10575	309	2	inability	inability	NOUN
fumecheng-10575	309	3	of	of	ADP
fumecheng-10575	309	4	sensors	sensor	NOUN
fumecheng-10575	309	5	to	to	PART
fumecheng-10575	309	6	reproduce	reproduce	VERB
fumecheng-10575	309	7	the	the	DET
fumecheng-10575	309	8	same	same	ADJ
fumecheng-10575	309	9	sensor	sensor	NOUN
fumecheng-10575	309	10	response	response	NOUN
fumecheng-10575	309	11	owing	owe	VERB
fumecheng-10575	309	12	to	to	ADP
fumecheng-10575	309	13	external	external	ADJ
fumecheng-10575	309	14	factors	factor	NOUN
fumecheng-10575	309	15	such	such	ADJ
fumecheng-10575	309	16	as	as	ADP
fumecheng-10575	309	17	humidity	humidity	NOUN
fumecheng-10575	309	18	can	can	AUX
fumecheng-10575	309	19	easily	easily	ADV
fumecheng-10575	309	20	compromise	compromise	VERB
fumecheng-10575	309	21	the	the	DET
fumecheng-10575	309	22	performance	performance	NOUN
fumecheng-10575	309	23	of	of	ADP
fumecheng-10575	309	24	the	the	DET
fumecheng-10575	309	25	machine	machine	NOUN
fumecheng-10575	309	26	learning	learn	VERB
fumecheng-10575	309	27	model	model	NOUN
fumecheng-10575	309	28	for	for	ADP
fumecheng-10575	309	29	either	either	DET
fumecheng-10575	309	30	classification	classification	NOUN
fumecheng-10575	309	31	,	,	PUNCT
fumecheng-10575	309	32	regression	regression	NOUN
fumecheng-10575	309	33	or	or	CCONJ
fumecheng-10575	309	34	both	both	PRON
fumecheng-10575	309	35	.	.	PUNCT
fumecheng-10575	310	1	4	4	X
fumecheng-10575	310	2	.	.	X
fumecheng-10575	310	3	conclusion	conclusion	NOUN
fumecheng-10575	310	4	e	e	NOUN
fumecheng-10575	310	5	-	-	NOUN
fumecheng-10575	310	6	noses	nose	NOUN
fumecheng-10575	310	7	are	be	AUX
fumecheng-10575	310	8	used	use	VERB
fumecheng-10575	310	9	profusely	profusely	ADV
fumecheng-10575	310	10	for	for	ADP
fumecheng-10575	310	11	smart	smart	ADJ
fumecheng-10575	310	12	gas	gas	NOUN
fumecheng-10575	310	13	sensing	sense	VERB
fumecheng-10575	310	14	applications	application	NOUN
fumecheng-10575	310	15	such	such	ADJ
fumecheng-10575	310	16	as	as	ADP
fumecheng-10575	310	17	medical	medical	ADJ
fumecheng-10575	310	18	diagnosis	diagnosis	NOUN
fumecheng-10575	310	19	,	,	PUNCT
fumecheng-10575	310	20	environmental	environmental	ADJ
fumecheng-10575	310	21	monitoring	monitoring	NOUN
fumecheng-10575	310	22	and	and	CCONJ
fumecheng-10575	310	23	food	food	NOUN
fumecheng-10575	310	24	quality	quality	NOUN
fumecheng-10575	310	25	control	control	NOUN
fumecheng-10575	310	26	.	.	PUNCT
fumecheng-10575	311	1	their	their	PRON
fumecheng-10575	311	2	ability	ability	NOUN
fumecheng-10575	311	3	to	to	PART
fumecheng-10575	311	4	identify	identify	VERB
fumecheng-10575	311	5	different	different	ADJ
fumecheng-10575	311	6	gases	gas	NOUN
fumecheng-10575	311	7	and	and	CCONJ
fumecheng-10575	311	8	estimate	estimate	VERB
fumecheng-10575	311	9	their	their	PRON
fumecheng-10575	311	10	concentrations	concentration	NOUN
fumecheng-10575	311	11	makes	make	VERB
fumecheng-10575	311	12	them	they	PRON
fumecheng-10575	311	13	extremely	extremely	ADV
fumecheng-10575	311	14	viable	viable	ADJ
fumecheng-10575	311	15	for	for	ADP
fumecheng-10575	311	16	gas	gas	NOUN
fumecheng-10575	311	17	sensing	sensing	NOUN
fumecheng-10575	311	18	.	.	PUNCT
fumecheng-10575	312	1	in	in	ADP
fumecheng-10575	312	2	this	this	DET
fumecheng-10575	312	3	work	work	NOUN
fumecheng-10575	312	4	,	,	PUNCT
fumecheng-10575	312	5	we	we	PRON
fumecheng-10575	312	6	provided	provide	VERB
fumecheng-10575	312	7	a	a	DET
fumecheng-10575	312	8	detailed	detailed	ADJ
fumecheng-10575	312	9	assessment	assessment	NOUN
fumecheng-10575	312	10	of	of	ADP
fumecheng-10575	312	11	different	different	ADJ
fumecheng-10575	312	12	machine	machine	NOUN
fumecheng-10575	312	13	learning	learn	VERB
fumecheng-10575	312	14	techniques	technique	NOUN
fumecheng-10575	312	15	used	use	VERB
fumecheng-10575	312	16	in	in	ADP
fumecheng-10575	312	17	e	e	NOUN
fumecheng-10575	312	18	-	-	NOUN
fumecheng-10575	312	19	noses	nose	NOUN
fumecheng-10575	312	20	for	for	ADP
fumecheng-10575	312	21	the	the	DET
fumecheng-10575	312	22	purpose	purpose	NOUN
fumecheng-10575	312	23	of	of	ADP
fumecheng-10575	312	24	classification	classification	NOUN
fumecheng-10575	312	25	and	and	CCONJ
fumecheng-10575	312	26	regression	regression	NOUN
fumecheng-10575	312	27	using	use	VERB
fumecheng-10575	312	28	three	three	NUM
fumecheng-10575	312	29	different	different	ADJ
fumecheng-10575	312	30	experimental	experimental	ADJ
fumecheng-10575	312	31	gsa	gsa	PROPN
fumecheng-10575	312	32	datasets	dataset	NOUN
fumecheng-10575	312	33	.	.	PUNCT
fumecheng-10575	313	1	the	the	DET
fumecheng-10575	313	2	present	present	ADJ
fumecheng-10575	313	3	analysis	analysis	NOUN
fumecheng-10575	313	4	discusses	discuss	VERB
fumecheng-10575	313	5	concepts	concept	NOUN
fumecheng-10575	313	6	of	of	ADP
fumecheng-10575	313	7	signal	signal	ADJ
fumecheng-10575	313	8	pre	pre	ADJ
fumecheng-10575	313	9	-	-	ADJ
fumecheng-10575	313	10	processing	processing	ADJ
fumecheng-10575	313	11	,	,	PUNCT
fumecheng-10575	313	12	feature	feature	NOUN
fumecheng-10575	313	13	extraction	extraction	NOUN
fumecheng-10575	313	14	,	,	PUNCT
fumecheng-10575	313	15	feature	feature	NOUN
fumecheng-10575	313	16	selection	selection	NOUN
fumecheng-10575	313	17	followed	follow	VERB
fumecheng-10575	313	18	by	by	ADP
fumecheng-10575	313	19	classification	classification	NOUN
fumecheng-10575	313	20	and	and	CCONJ
fumecheng-10575	313	21	regression	regression	NOUN
fumecheng-10575	313	22	using	use	VERB
fumecheng-10575	313	23	machine	machine	NOUN
fumecheng-10575	313	24	-	-	PUNCT
fumecheng-10575	313	25	learning	learn	VERB
fumecheng-10575	313	26	techniques	technique	NOUN
fumecheng-10575	313	27	.	.	PUNCT
fumecheng-10575	314	1	feature	feature	NOUN
fumecheng-10575	314	2	selection	selection	NOUN
fumecheng-10575	314	3	using	use	VERB
fumecheng-10575	314	4	wrapper	wrapper	NOUN
fumecheng-10575	314	5	-	-	PUNCT
fumecheng-10575	314	6	based	base	VERB
fumecheng-10575	314	7	techniques	technique	NOUN
fumecheng-10575	314	8	of	of	ADP
fumecheng-10575	314	9	sfs	sfs	NOUN
fumecheng-10575	314	10	and	and	CCONJ
fumecheng-10575	314	11	sbs	sbs	NOUN
fumecheng-10575	314	12	,	,	PUNCT
fumecheng-10575	314	13	and	and	CCONJ
fumecheng-10575	314	14	filter	filter	NOUN
fumecheng-10575	314	15	-	-	PUNCT
fumecheng-10575	314	16	based	base	VERB
fumecheng-10575	314	17	techniques	technique	NOUN
fumecheng-10575	314	18	accounting	account	VERB
fumecheng-10575	314	19	for	for	ADP
fumecheng-10575	314	20	gini	gini	PROPN
fumecheng-10575	314	21	index	index	NOUN
fumecheng-10575	314	22	and	and	CCONJ
fumecheng-10575	314	23	correlation	correlation	NOUN
fumecheng-10575	314	24	to	to	PART
fumecheng-10575	314	25	determine	determine	VERB
fumecheng-10575	314	26	feature	feature	NOUN
fumecheng-10575	314	27	importance	importance	NOUN
fumecheng-10575	314	28	is	be	AUX
fumecheng-10575	314	29	studied	study	VERB
fumecheng-10575	314	30	in	in	ADP
fumecheng-10575	314	31	detail	detail	NOUN
fumecheng-10575	314	32	to	to	PART
fumecheng-10575	314	33	investigate	investigate	VERB
fumecheng-10575	314	34	the	the	DET
fumecheng-10575	314	35	predictive	predictive	ADJ
fumecheng-10575	314	36	capability	capability	NOUN
fumecheng-10575	314	37	of	of	ADP
fumecheng-10575	314	38	the	the	DET
fumecheng-10575	314	39	developed	develop	VERB
fumecheng-10575	314	40	models	model	NOUN
fumecheng-10575	314	41	.	.	PUNCT
fumecheng-10575	315	1	in	in	ADP
fumecheng-10575	315	2	addition	addition	NOUN
fumecheng-10575	315	3	,	,	PUNCT
fumecheng-10575	315	4	the	the	DET
fumecheng-10575	315	5	machine	machine	NOUN
fumecheng-10575	315	6	learning	learn	VERB
fumecheng-10575	315	7	techniques	technique	NOUN
fumecheng-10575	315	8	employed	employ	VERB
fumecheng-10575	315	9	were	be	AUX
fumecheng-10575	315	10	not	not	PART
fumecheng-10575	315	11	limited	limit	VERB
fumecheng-10575	315	12	to	to	ADP
fumecheng-10575	315	13	classical	classical	ADJ
fumecheng-10575	315	14	models	model	NOUN
fumecheng-10575	315	15	such	such	ADJ
fumecheng-10575	315	16	as	as	ADP
fumecheng-10575	315	17	dt	dt	PROPN
fumecheng-10575	315	18	,	,	PUNCT
fumecheng-10575	315	19	knn	knn	PROPN
fumecheng-10575	315	20	and	and	CCONJ
fumecheng-10575	315	21	svm	svm	PROPN
fumecheng-10575	315	22	but	but	CCONJ
fumecheng-10575	315	23	also	also	ADV
fumecheng-10575	315	24	incorporated	incorporate	VERB
fumecheng-10575	315	25	ensemble	ensemble	ADJ
fumecheng-10575	315	26	techniques	technique	NOUN
fumecheng-10575	315	27	of	of	ADP
fumecheng-10575	315	28	voting	voting	NOUN
fumecheng-10575	315	29	,	,	PUNCT
fumecheng-10575	315	30	bagging	bagging	NOUN
fumecheng-10575	315	31	and	and	CCONJ
fumecheng-10575	315	32	rf	rf	NOUN
fumecheng-10575	315	33	to	to	PART
fumecheng-10575	315	34	offer	offer	VERB
fumecheng-10575	315	35	a	a	DET
fumecheng-10575	315	36	more	more	ADV
fumecheng-10575	315	37	comprehensive	comprehensive	ADJ
fumecheng-10575	315	38	discussion	discussion	NOUN
fumecheng-10575	315	39	.	.	PUNCT
fumecheng-10575	316	1	the	the	DET
fumecheng-10575	316	2	performance	performance	NOUN
fumecheng-10575	316	3	of	of	ADP
fumecheng-10575	316	4	the	the	DET
fumecheng-10575	316	5	models	model	NOUN
fumecheng-10575	316	6	was	be	AUX
fumecheng-10575	316	7	assessed	assess	VERB
fumecheng-10575	316	8	using	use	VERB
fumecheng-10575	316	9	classification	classification	NOUN
fumecheng-10575	316	10	accuracies	accuracy	NOUN
fumecheng-10575	316	11	and	and	CCONJ
fumecheng-10575	316	12	regression	regression	NOUN
fumecheng-10575	316	13	errors	error	NOUN
fumecheng-10575	316	14	,	,	PUNCT
fumecheng-10575	316	15	followed	follow	VERB
fumecheng-10575	316	16	by	by	ADP
fumecheng-10575	316	17	a	a	DET
fumecheng-10575	316	18	comparison	comparison	NOUN
fumecheng-10575	316	19	of	of	ADP
fumecheng-10575	316	20	the	the	DET
fumecheng-10575	316	21	results	result	NOUN
fumecheng-10575	316	22	obtained	obtain	VERB
fumecheng-10575	316	23	from	from	ADP
fumecheng-10575	316	24	models	model	NOUN
fumecheng-10575	316	25	presented	present	VERB
fumecheng-10575	316	26	in	in	ADP
fumecheng-10575	316	27	previously	previously	ADV
fumecheng-10575	316	28	published	publish	VERB
fumecheng-10575	316	29	studies	study	NOUN
fumecheng-10575	316	30	.	.	PUNCT
fumecheng-10575	317	1	in	in	ADP
fumecheng-10575	317	2	most	most	ADJ
fumecheng-10575	317	3	cases	case	NOUN
fumecheng-10575	317	4	,	,	PUNCT
fumecheng-10575	317	5	classical	classical	ADJ
fumecheng-10575	317	6	models	model	NOUN
fumecheng-10575	317	7	such	such	ADJ
fumecheng-10575	317	8	as	as	ADP
fumecheng-10575	317	9	knn	knn	PROPN
fumecheng-10575	317	10	,	,	PUNCT
fumecheng-10575	317	11	dt	dt	PUNCT
fumecheng-10575	317	12	and	and	CCONJ
fumecheng-10575	317	13	svm	svm	PROPN
fumecheng-10575	317	14	showed	show	VERB
fumecheng-10575	317	15	great	great	ADJ
fumecheng-10575	317	16	capability	capability	NOUN
fumecheng-10575	317	17	for	for	ADP
fumecheng-10575	317	18	classification	classification	NOUN
fumecheng-10575	317	19	problems	problem	NOUN
fumecheng-10575	317	20	as	as	SCONJ
fumecheng-10575	317	21	demonstrated	demonstrate	VERB
fumecheng-10575	317	22	by	by	ADP
fumecheng-10575	317	23	the	the	DET
fumecheng-10575	317	24	obtained	obtain	VERB
fumecheng-10575	317	25	high	high	ADJ
fumecheng-10575	317	26	level	level	NOUN
fumecheng-10575	317	27	of	of	ADP
fumecheng-10575	317	28	accuracies	accuracy	NOUN
fumecheng-10575	317	29	.	.	PUNCT
fumecheng-10575	318	1	ensemble	ensemble	ADJ
fumecheng-10575	318	2	techniques	technique	NOUN
fumecheng-10575	318	3	such	such	ADJ
fumecheng-10575	318	4	as	as	ADP
fumecheng-10575	318	5	bagging	bagging	NOUN
fumecheng-10575	318	6	(	(	PUNCT
fumecheng-10575	318	7	rf	rf	NOUN
fumecheng-10575	318	8	)	)	PUNCT
fumecheng-10575	318	9	and	and	CCONJ
fumecheng-10575	318	10	rf	rf	PRON
fumecheng-10575	318	11	outperformed	outperform	VERB
fumecheng-10575	318	12	their	their	PRON
fumecheng-10575	318	13	classical	classical	ADJ
fumecheng-10575	318	14	counterparts	counterpart	NOUN
fumecheng-10575	318	15	presented	present	VERB
fumecheng-10575	318	16	in	in	ADP
fumecheng-10575	318	17	this	this	DET
fumecheng-10575	318	18	work	work	NOUN
fumecheng-10575	318	19	and	and	CCONJ
fumecheng-10575	318	20	published	publish	VERB
fumecheng-10575	318	21	in	in	ADP
fumecheng-10575	318	22	previous	previous	ADJ
fumecheng-10575	318	23	works	work	NOUN
fumecheng-10575	318	24	.	.	PUNCT
fumecheng-10575	319	1	the	the	DET
fumecheng-10575	319	2	pivotal	pivotal	ADJ
fumecheng-10575	319	3	role	role	NOUN
fumecheng-10575	319	4	of	of	ADP
fumecheng-10575	319	5	feature	feature	NOUN
fumecheng-10575	319	6	extraction	extraction	NOUN
fumecheng-10575	319	7	was	be	AUX
fumecheng-10575	319	8	demonstrated	demonstrate	VERB
fumecheng-10575	319	9	by	by	ADP
fumecheng-10575	319	10	the	the	DET
fumecheng-10575	319	11	good	good	ADJ
fumecheng-10575	319	12	performance	performance	NOUN
fumecheng-10575	319	13	of	of	ADP
fumecheng-10575	319	14	models	model	NOUN
fumecheng-10575	319	15	.	.	PUNCT
fumecheng-10575	320	1	moreover	moreover	ADV
fumecheng-10575	320	2	,	,	PUNCT
fumecheng-10575	320	3	the	the	DET
fumecheng-10575	320	4	models	model	NOUN
fumecheng-10575	320	5	implemented	implement	VERB
fumecheng-10575	320	6	in	in	ADP
fumecheng-10575	320	7	this	this	DET
fumecheng-10575	320	8	work	work	NOUN
fumecheng-10575	320	9	were	be	AUX
fumecheng-10575	320	10	able	able	ADJ
fumecheng-10575	320	11	to	to	PART
fumecheng-10575	320	12	offer	offer	VERB
fumecheng-10575	320	13	more	more	ADV
fumecheng-10575	320	14	accurate	accurate	ADJ
fumecheng-10575	320	15	prediction	prediction	NOUN
fumecheng-10575	320	16	than	than	ADP
fumecheng-10575	320	17	most	most	ADJ
fumecheng-10575	320	18	of	of	ADP
fumecheng-10575	320	19	the	the	DET
fumecheng-10575	320	20	reported	report	VERB
fumecheng-10575	320	21	results	result	NOUN
fumecheng-10575	320	22	obtained	obtain	VERB
fumecheng-10575	320	23	from	from	ADP
fumecheng-10575	320	24	the	the	DET
fumecheng-10575	320	25	same	same	ADJ
fumecheng-10575	320	26	datasets	dataset	NOUN
fumecheng-10575	320	27	.	.	PUNCT
fumecheng-10575	321	1	in	in	ADP
fumecheng-10575	321	2	terms	term	NOUN
fumecheng-10575	321	3	of	of	ADP
fumecheng-10575	321	4	dimensionality	dimensionality	NOUN
fumecheng-10575	321	5	reduction	reduction	NOUN
fumecheng-10575	321	6	,	,	PUNCT
fumecheng-10575	321	7	pca	pca	PROPN
fumecheng-10575	321	8	demonstrated	demonstrate	VERB
fumecheng-10575	321	9	improvement	improvement	NOUN
fumecheng-10575	321	10	in	in	ADP
fumecheng-10575	321	11	the	the	DET
fumecheng-10575	321	12	performance	performance	NOUN
fumecheng-10575	321	13	of	of	ADP
fumecheng-10575	321	14	the	the	DET
fumecheng-10575	321	15	machine	machine	NOUN
fumecheng-10575	321	16	learning	learn	VERB
fumecheng-10575	321	17	algorithms	algorithm	NOUN
fumecheng-10575	321	18	.	.	PUNCT
fumecheng-10575	322	1	however	however	ADV
fumecheng-10575	322	2	,	,	PUNCT
fumecheng-10575	322	3	linear	linear	ADJ
fumecheng-10575	322	4	discriminant	discriminant	ADJ
fumecheng-10575	322	5	analysis	analysis	NOUN
fumecheng-10575	322	6	,	,	PUNCT
fumecheng-10575	322	7	a	a	DET
fumecheng-10575	322	8	technique	technique	NOUN
fumecheng-10575	322	9	widely	widely	ADV
fumecheng-10575	322	10	used	use	VERB
fumecheng-10575	322	11	for	for	ADP
fumecheng-10575	322	12	feature	feature	NOUN
fumecheng-10575	322	13	extraction	extraction	NOUN
fumecheng-10575	322	14	and	and	CCONJ
fumecheng-10575	322	15	classification	classification	NOUN
fumecheng-10575	322	16	,	,	PUNCT
fumecheng-10575	322	17	also	also	ADV
fumecheng-10575	322	18	helps	help	VERB
fumecheng-10575	322	19	minimize	minimize	VERB
fumecheng-10575	322	20	data	datum	NOUN
fumecheng-10575	322	21	dimensionality	dimensionality	NOUN
fumecheng-10575	322	22	and	and	CCONJ
fumecheng-10575	322	23	can	can	AUX
fumecheng-10575	322	24	be	be	AUX
fumecheng-10575	322	25	used	use	VERB
fumecheng-10575	322	26	with	with	ADP
fumecheng-10575	322	27	gsa	gsa	PROPN
fumecheng-10575	322	28	datasets	dataset	NOUN
fumecheng-10575	322	29	.	.	PUNCT
fumecheng-10575	323	1	in	in	ADP
fumecheng-10575	323	2	addition	addition	NOUN
fumecheng-10575	323	3	,	,	PUNCT
fumecheng-10575	323	4	regression	regression	NOUN
fumecheng-10575	323	5	results	result	NOUN
fumecheng-10575	323	6	revealed	reveal	VERB
fumecheng-10575	323	7	the	the	DET
fumecheng-10575	323	8	impact	impact	NOUN
fumecheng-10575	323	9	of	of	ADP
fumecheng-10575	323	10	several	several	ADJ
fumecheng-10575	323	11	factors	factor	NOUN
fumecheng-10575	323	12	that	that	PRON
fumecheng-10575	323	13	come	come	VERB
fumecheng-10575	323	14	into	into	ADP
fumecheng-10575	323	15	play	play	NOUN
fumecheng-10575	323	16	when	when	SCONJ
fumecheng-10575	323	17	applying	apply	VERB
fumecheng-10575	323	18	machine	machine	NOUN
fumecheng-10575	323	19	-	-	PUNCT
fumecheng-10575	323	20	learning	learn	VERB
fumecheng-10575	323	21	techniques	technique	NOUN
fumecheng-10575	323	22	.	.	PUNCT
fumecheng-10575	324	1	these	these	DET
fumecheng-10575	324	2	factors	factor	NOUN
fumecheng-10575	324	3	include	include	VERB
fumecheng-10575	324	4	the	the	DET
fumecheng-10575	324	5	size	size	NOUN
fumecheng-10575	324	6	of	of	ADP
fumecheng-10575	324	7	the	the	DET
fumecheng-10575	324	8	training	training	NOUN
fumecheng-10575	324	9	datasets	dataset	NOUN
fumecheng-10575	324	10	,	,	PUNCT
fumecheng-10575	324	11	where	where	SCONJ
fumecheng-10575	324	12	it	it	PRON
fumecheng-10575	324	13	is	be	AUX
fumecheng-10575	324	14	crucial	crucial	ADJ
fumecheng-10575	324	15	to	to	PART
fumecheng-10575	324	16	pay	pay	VERB
fumecheng-10575	324	17	heed	heed	NOUN
fumecheng-10575	324	18	to	to	ADP
fumecheng-10575	324	19	the	the	DET
fumecheng-10575	324	20	size	size	NOUN
fumecheng-10575	324	21	of	of	ADP
fumecheng-10575	324	22	the	the	DET
fumecheng-10575	324	23	dataset	dataset	NOUN
fumecheng-10575	324	24	,	,	PUNCT
fumecheng-10575	324	25	so	so	SCONJ
fumecheng-10575	324	26	as	as	SCONJ
fumecheng-10575	324	27	to	to	PART
fumecheng-10575	324	28	avoid	avoid	VERB
fumecheng-10575	324	29	model	model	NOUN
fumecheng-10575	324	30	underfitting	underfitting	NOUN
fumecheng-10575	324	31	or	or	CCONJ
fumecheng-10575	324	32	overfitting	overfitte	VERB
fumecheng-10575	324	33	to	to	PART
fumecheng-10575	324	34	reduce	reduce	VERB
fumecheng-10575	324	35	their	their	PRON
fumecheng-10575	324	36	impact	impact	NOUN
fumecheng-10575	324	37	on	on	ADP
fumecheng-10575	324	38	the	the	DET
fumecheng-10575	324	39	models	model	NOUN
fumecheng-10575	324	40	’	'	PUNCT
fumecheng-10575	324	41	performance	performance	NOUN
fumecheng-10575	324	42	.	.	PUNCT
fumecheng-10575	325	1	moreover	moreover	ADV
fumecheng-10575	325	2	,	,	PUNCT
fumecheng-10575	325	3	a	a	DET
fumecheng-10575	325	4	large	large	ADJ
fumecheng-10575	325	5	number	number	NOUN
fumecheng-10575	325	6	of	of	ADP
fumecheng-10575	325	7	features	feature	NOUN
fumecheng-10575	325	8	,	,	PUNCT
fumecheng-10575	325	9	non	non	ADJ
fumecheng-10575	325	10	-	-	ADJ
fumecheng-10575	325	11	representative	representative	ADJ
fumecheng-10575	325	12	features	feature	NOUN
fumecheng-10575	325	13	and	and	CCONJ
fumecheng-10575	325	14	poor	poor	ADJ
fumecheng-10575	325	15	quality	quality	NOUN
fumecheng-10575	325	16	of	of	ADP
fumecheng-10575	325	17	data	datum	NOUN
fumecheng-10575	325	18	for	for	ADP
fumecheng-10575	325	19	training	train	VERB
fumecheng-10575	325	20	the	the	DET
fumecheng-10575	325	21	models	model	NOUN
fumecheng-10575	325	22	can	can	AUX
fumecheng-10575	325	23	be	be	AUX
fumecheng-10575	325	24	a	a	DET
fumecheng-10575	325	25	massive	massive	ADJ
fumecheng-10575	325	26	challenge	challenge	NOUN
fumecheng-10575	325	27	for	for	ADP
fumecheng-10575	325	28	both	both	CCONJ
fumecheng-10575	325	29	classification	classification	NOUN
fumecheng-10575	325	30	and	and	CCONJ
fumecheng-10575	325	31	regression	regression	NOUN
fumecheng-10575	325	32	.	.	PUNCT
fumecheng-10575	326	1	500	500	NUM
fumecheng-10575	326	2	l.	l.	PROPN
fumecheng-10575	326	3	mahmood	mahmood	PROPN
fumecheng-10575	326	4	,	,	PUNCT
fumecheng-10575	326	5	z.	z.	PROPN
fumecheng-10575	326	6	bahroun	bahroun	PROPN
fumecheng-10575	326	7	,	,	PUNCT
fumecheng-10575	326	8	m.	m.	NOUN
fumecheng-10575	326	9	ghommem	ghommem	PROPN
fumecheng-10575	326	10	,	,	PUNCT
fumecheng-10575	326	11	h.	h.	PROPN
fumecheng-10575	326	12	alshraideh	alshraideh	PROPN
fumecheng-10575	326	13	despite	despite	SCONJ
fumecheng-10575	326	14	the	the	DET
fumecheng-10575	326	15	lack	lack	NOUN
fumecheng-10575	326	16	of	of	ADP
fumecheng-10575	326	17	publicly	publicly	ADV
fumecheng-10575	326	18	available	available	ADJ
fumecheng-10575	326	19	gsa	gsa	PROPN
fumecheng-10575	326	20	datasets	dataset	NOUN
fumecheng-10575	326	21	,	,	PUNCT
fumecheng-10575	326	22	this	this	DET
fumecheng-10575	326	23	work	work	NOUN
fumecheng-10575	326	24	was	be	AUX
fumecheng-10575	326	25	able	able	ADJ
fumecheng-10575	326	26	to	to	PART
fumecheng-10575	326	27	identify	identify	VERB
fumecheng-10575	326	28	three	three	NUM
fumecheng-10575	326	29	mox	mox	NOUN
fumecheng-10575	326	30	sensor	sensor	NOUN
fumecheng-10575	326	31	-	-	PUNCT
fumecheng-10575	326	32	based	base	VERB
fumecheng-10575	326	33	gsa	gsa	PROPN
fumecheng-10575	326	34	datasets	dataset	NOUN
fumecheng-10575	326	35	to	to	PART
fumecheng-10575	326	36	provide	provide	VERB
fumecheng-10575	326	37	a	a	DET
fumecheng-10575	326	38	delineated	delineated	ADJ
fumecheng-10575	326	39	assessment	assessment	NOUN
fumecheng-10575	326	40	of	of	ADP
fumecheng-10575	326	41	different	different	ADJ
fumecheng-10575	326	42	machine	machine	NOUN
fumecheng-10575	326	43	learning	learning	NOUN
fumecheng-10575	326	44	models	model	NOUN
fumecheng-10575	326	45	for	for	ADP
fumecheng-10575	326	46	classification	classification	NOUN
fumecheng-10575	326	47	and	and	CCONJ
fumecheng-10575	326	48	regression	regression	NOUN
fumecheng-10575	326	49	.	.	PUNCT
fumecheng-10575	327	1	diverse	diverse	ADJ
fumecheng-10575	327	2	machine	machine	NOUN
fumecheng-10575	327	3	learning	learn	VERB
fumecheng-10575	327	4	algorithms	algorithm	NOUN
fumecheng-10575	327	5	and	and	CCONJ
fumecheng-10575	327	6	techniques	technique	NOUN
fumecheng-10575	327	7	with	with	ADP
fumecheng-10575	327	8	different	different	ADJ
fumecheng-10575	327	9	working	work	VERB
fumecheng-10575	327	10	principles	principle	NOUN
fumecheng-10575	327	11	were	be	AUX
fumecheng-10575	327	12	selected	select	VERB
fumecheng-10575	327	13	to	to	PART
fumecheng-10575	327	14	perform	perform	VERB
fumecheng-10575	327	15	classification	classification	NOUN
fumecheng-10575	327	16	and	and	CCONJ
fumecheng-10575	327	17	regression	regression	NOUN
fumecheng-10575	327	18	to	to	PART
fumecheng-10575	327	19	provide	provide	VERB
fumecheng-10575	327	20	a	a	DET
fumecheng-10575	327	21	holistic	holistic	ADJ
fumecheng-10575	327	22	discussion	discussion	NOUN
fumecheng-10575	327	23	of	of	ADP
fumecheng-10575	327	24	machine	machine	NOUN
fumecheng-10575	327	25	learning	learn	VERB
fumecheng-10575	327	26	in	in	ADP
fumecheng-10575	327	27	gas	gas	NOUN
fumecheng-10575	327	28	sensing	sensing	NOUN
fumecheng-10575	327	29	.	.	PUNCT
fumecheng-10575	328	1	in	in	ADP
fumecheng-10575	328	2	all	all	DET
fumecheng-10575	328	3	the	the	DET
fumecheng-10575	328	4	three	three	NUM
fumecheng-10575	328	5	case	case	NOUN
fumecheng-10575	328	6	studies	study	NOUN
fumecheng-10575	328	7	,	,	PUNCT
fumecheng-10575	328	8	feature	feature	NOUN
fumecheng-10575	328	9	selection	selection	NOUN
fumecheng-10575	328	10	and	and	CCONJ
fumecheng-10575	328	11	dimensionality	dimensionality	NOUN
fumecheng-10575	328	12	reduction	reduction	NOUN
fumecheng-10575	328	13	were	be	AUX
fumecheng-10575	328	14	able	able	ADJ
fumecheng-10575	328	15	to	to	PART
fumecheng-10575	328	16	improve	improve	VERB
fumecheng-10575	328	17	the	the	DET
fumecheng-10575	328	18	predictive	predictive	ADJ
fumecheng-10575	328	19	capability	capability	NOUN
fumecheng-10575	328	20	of	of	ADP
fumecheng-10575	328	21	machine	machine	NOUN
fumecheng-10575	328	22	learning	learning	NOUN
fumecheng-10575	328	23	models	model	NOUN
fumecheng-10575	328	24	.	.	PUNCT
fumecheng-10575	329	1	in	in	ADP
fumecheng-10575	329	2	many	many	ADJ
fumecheng-10575	329	3	cases	case	NOUN
fumecheng-10575	329	4	,	,	PUNCT
fumecheng-10575	329	5	the	the	DET
fumecheng-10575	329	6	approach	approach	NOUN
fumecheng-10575	329	7	undertaken	undertake	VERB
fumecheng-10575	329	8	was	be	AUX
fumecheng-10575	329	9	also	also	ADV
fumecheng-10575	329	10	capable	capable	ADJ
fumecheng-10575	329	11	of	of	ADP
fumecheng-10575	329	12	producing	produce	VERB
fumecheng-10575	329	13	good	good	ADJ
fumecheng-10575	329	14	results	result	NOUN
fumecheng-10575	329	15	in	in	ADP
fumecheng-10575	329	16	the	the	DET
fumecheng-10575	329	17	face	face	NOUN
fumecheng-10575	329	18	of	of	ADP
fumecheng-10575	329	19	sensor	sensor	NOUN
fumecheng-10575	329	20	drift	drift	NOUN
fumecheng-10575	329	21	.	.	PUNCT
fumecheng-10575	330	1	as	as	ADP
fumecheng-10575	330	2	a	a	DET
fumecheng-10575	330	3	result	result	NOUN
fumecheng-10575	330	4	,	,	PUNCT
fumecheng-10575	330	5	models	model	NOUN
fumecheng-10575	330	6	in	in	ADP
fumecheng-10575	330	7	this	this	DET
fumecheng-10575	330	8	work	work	NOUN
fumecheng-10575	330	9	provided	provide	VERB
fumecheng-10575	330	10	promising	promise	VERB
fumecheng-10575	330	11	results	result	NOUN
fumecheng-10575	330	12	with	with	ADP
fumecheng-10575	330	13	mox	mox	NOUN
fumecheng-10575	330	14	sensor	sensor	NOUN
fumecheng-10575	330	15	datasets	dataset	NOUN
fumecheng-10575	330	16	and	and	CCONJ
fumecheng-10575	330	17	showed	show	VERB
fumecheng-10575	330	18	great	great	ADJ
fumecheng-10575	330	19	predictive	predictive	ADJ
fumecheng-10575	330	20	capability	capability	NOUN
fumecheng-10575	330	21	to	to	PART
fumecheng-10575	330	22	be	be	AUX
fumecheng-10575	330	23	applied	apply	VERB
fumecheng-10575	330	24	to	to	ADP
fumecheng-10575	330	25	datasets	dataset	NOUN
fumecheng-10575	330	26	from	from	ADP
fumecheng-10575	330	27	other	other	ADJ
fumecheng-10575	330	28	gas	gas	NOUN
fumecheng-10575	330	29	sensors	sensor	NOUN
fumecheng-10575	330	30	such	such	ADJ
fumecheng-10575	330	31	as	as	ADP
fumecheng-10575	330	32	carbon	carbon	NOUN
fumecheng-10575	330	33	nanotube	nanotube	NOUN
fumecheng-10575	330	34	-	-	PUNCT
fumecheng-10575	330	35	based	base	VERB
fumecheng-10575	330	36	,	,	PUNCT
fumecheng-10575	330	37	polymer	polymer	NOUN
fumecheng-10575	330	38	-	-	PUNCT
fumecheng-10575	330	39	based	base	VERB
fumecheng-10575	330	40	or	or	CCONJ
fumecheng-10575	330	41	acoustic	acoustic	ADJ
fumecheng-10575	330	42	sensors	sensor	NOUN
fumecheng-10575	330	43	.	.	PUNCT
fumecheng-10575	331	1	references	reference	NOUN
fumecheng-10575	331	2	1	1	NUM
fumecheng-10575	331	3	.	.	PUNCT
fumecheng-10575	332	1	miller	miller	PROPN
fumecheng-10575	332	2	,	,	PUNCT
fumecheng-10575	332	3	d.r	d.r	PROPN
fumecheng-10575	332	4	.	.	PROPN
fumecheng-10575	332	5	,	,	PUNCT
fumecheng-10575	332	6	akbar	akbar	PROPN
fumecheng-10575	332	7	,	,	PUNCT
fumecheng-10575	332	8	s.a	s.a	PROPN
fumecheng-10575	332	9	.	.	PROPN
fumecheng-10575	332	10	,	,	PUNCT
fumecheng-10575	332	11	morris	morris	PROPN
fumecheng-10575	332	12	,	,	PUNCT
fumecheng-10575	332	13	p.a	p.a	PROPN
fumecheng-10575	332	14	.	.	PROPN
fumecheng-10575	332	15	,	,	PUNCT
fumecheng-10575	332	16	2014	2014	NUM
fumecheng-10575	332	17	,	,	PUNCT
fumecheng-10575	332	18	nanoscale	nanoscale	NOUN
fumecheng-10575	332	19	metal	metal	NOUN
fumecheng-10575	332	20	oxide	oxide	NOUN
fumecheng-10575	332	21	-	-	PUNCT
fumecheng-10575	332	22	based	base	VERB
fumecheng-10575	332	23	heterojunctions	heterojunction	NOUN
fumecheng-10575	332	24	for	for	ADP
fumecheng-10575	332	25	gas	gas	NOUN
fumecheng-10575	332	26	sensing	sensing	NOUN
fumecheng-10575	332	27	:	:	PUNCT
fumecheng-10575	332	28	a	a	DET
fumecheng-10575	332	29	review	review	NOUN
fumecheng-10575	332	30	,	,	PUNCT
fumecheng-10575	332	31	sensors	sensor	NOUN
fumecheng-10575	332	32	and	and	CCONJ
fumecheng-10575	332	33	actuators	actuator	NOUN
fumecheng-10575	332	34	b	b	X
fumecheng-10575	332	35	:	:	PUNCT
fumecheng-10575	332	36	chemical	chemical	NOUN
fumecheng-10575	332	37	,	,	PUNCT
fumecheng-10575	332	38	204	204	NUM
fumecheng-10575	332	39	,	,	PUNCT
fumecheng-10575	332	40	pp	pp	ADJ
fumecheng-10575	332	41	.	.	PUNCT
fumecheng-10575	333	1	250	250	NUM
fumecheng-10575	333	2	-	-	SYM
fumecheng-10575	333	3	272	272	NUM
fumecheng-10575	333	4	.	.	NOUN
fumecheng-10575	334	1	2	2	NUM
fumecheng-10575	334	2	.	.	X
fumecheng-10575	335	1	chen	chen	PROPN
fumecheng-10575	335	2	,	,	PUNCT
fumecheng-10575	335	3	x.	x.	PROPN
fumecheng-10575	335	4	,	,	PUNCT
fumecheng-10575	335	5	wong	wong	PROPN
fumecheng-10575	335	6	,	,	PUNCT
fumecheng-10575	335	7	c.k.y	c.k.y	PROPN
fumecheng-10575	335	8	.	.	PROPN
fumecheng-10575	335	9	,	,	PUNCT
fumecheng-10575	335	10	yuan	yuan	PROPN
fumecheng-10575	335	11	,	,	PUNCT
fumecheng-10575	335	12	c.a	c.a	PROPN
fumecheng-10575	335	13	.	.	PROPN
fumecheng-10575	335	14	,	,	PUNCT
fumecheng-10575	335	15	zhang	zhang	PROPN
fumecheng-10575	335	16	,	,	PUNCT
fumecheng-10575	335	17	g.	g.	PROPN
fumecheng-10575	335	18	,	,	PUNCT
fumecheng-10575	335	19	2013	2013	NUM
fumecheng-10575	335	20	,	,	PUNCT
fumecheng-10575	335	21	nanowire	nanowire	NOUN
fumecheng-10575	335	22	-	-	PUNCT
fumecheng-10575	335	23	based	base	VERB
fumecheng-10575	335	24	gas	gas	NOUN
fumecheng-10575	335	25	sensors	sensor	NOUN
fumecheng-10575	335	26	,	,	PUNCT
fumecheng-10575	335	27	sensors	sensor	NOUN
fumecheng-10575	335	28	and	and	CCONJ
fumecheng-10575	335	29	actuators	actuator	NOUN
fumecheng-10575	335	30	b	b	X
fumecheng-10575	335	31	:	:	PUNCT
fumecheng-10575	335	32	chemical	chemical	NOUN
fumecheng-10575	335	33	,	,	PUNCT
fumecheng-10575	335	34	177	177	NUM
fumecheng-10575	335	35	,	,	PUNCT
fumecheng-10575	335	36	pp	pp	ADJ
fumecheng-10575	335	37	.	.	PUNCT
fumecheng-10575	336	1	178–195	178–195	NUM
fumecheng-10575	336	2	.	.	NOUN
fumecheng-10575	336	3	3	3	NUM
fumecheng-10575	336	4	.	.	X
fumecheng-10575	336	5	park	park	PROPN
fumecheng-10575	336	6	,	,	PUNCT
fumecheng-10575	336	7	h.j	h.j	PROPN
fumecheng-10575	336	8	.	.	PROPN
fumecheng-10575	336	9	,	,	PUNCT
fumecheng-10575	336	10	kim	kim	PROPN
fumecheng-10575	336	11	,	,	PUNCT
fumecheng-10575	336	12	w.	w.	PROPN
fumecheng-10575	336	13	,	,	PUNCT
fumecheng-10575	336	14	lee	lee	PROPN
fumecheng-10575	336	15	,	,	PUNCT
fumecheng-10575	336	16	h.	h.	PROPN
fumecheng-10575	336	17	,	,	PUNCT
fumecheng-10575	336	18	lee	lee	PROPN
fumecheng-10575	336	19	,	,	PUNCT
fumecheng-10575	336	20	d.	d.	PROPN
fumecheng-10575	336	21	,	,	PUNCT
fumecheng-10575	336	22	shin	shin	PROPN
fumecheng-10575	336	23	,	,	PUNCT
fumecheng-10575	336	24	j.	j.	PROPN
fumecheng-10575	336	25	,	,	PUNCT
fumecheng-10575	336	26	jun	jun	PROPN
fumecheng-10575	336	27	,	,	PUNCT
fumecheng-10575	336	28	y.	y.	PROPN
fumecheng-10575	336	29	,	,	PUNCT
fumecheng-10575	336	30	yun	yun	PROPN
fumecheng-10575	336	31	,	,	PUNCT
fumecheng-10575	336	32	y.	y.	NOUN
fumecheng-10575	336	33	,	,	PUNCT
fumecheng-10575	336	34	2018	2018	NUM
fumecheng-10575	336	35	,	,	PUNCT
fumecheng-10575	336	36	highly	highly	ADV
fumecheng-10575	336	37	flexible	flexible	ADJ
fumecheng-10575	336	38	,	,	PUNCT
fumecheng-10575	336	39	mechanically	mechanically	ADV
fumecheng-10575	336	40	stable	stable	ADJ
fumecheng-10575	336	41	,	,	PUNCT
fumecheng-10575	336	42	and	and	CCONJ
fumecheng-10575	336	43	sensitive	sensitive	ADJ
fumecheng-10575	336	44	no2	no2	NOUN
fumecheng-10575	336	45	gas	gas	NOUN
fumecheng-10575	336	46	sensors	sensor	NOUN
fumecheng-10575	336	47	based	base	VERB
fumecheng-10575	336	48	on	on	ADP
fumecheng-10575	336	49	reduced	reduced	ADJ
fumecheng-10575	336	50	graphene	graphene	NOUN
fumecheng-10575	336	51	oxide	oxide	NOUN
fumecheng-10575	336	52	nanofibrous	nanofibrous	ADJ
fumecheng-10575	336	53	mesh	mesh	NOUN
fumecheng-10575	336	54	fabric	fabric	NOUN
fumecheng-10575	336	55	for	for	ADP
fumecheng-10575	336	56	flexible	flexible	ADJ
fumecheng-10575	336	57	electronics	electronic	NOUN
fumecheng-10575	336	58	,	,	PUNCT
fumecheng-10575	336	59	sensors	sensor	NOUN
fumecheng-10575	336	60	and	and	CCONJ
fumecheng-10575	336	61	actuators	actuator	NOUN
fumecheng-10575	337	1	b	b	X
fumecheng-10575	337	2	:	:	PUNCT
fumecheng-10575	337	3	chemical	chemical	NOUN
fumecheng-10575	337	4	,	,	PUNCT
fumecheng-10575	337	5	257	257	NUM
fumecheng-10575	337	6	,	,	PUNCT
fumecheng-10575	337	7	pp	pp	ADJ
fumecheng-10575	337	8	.	.	PUNCT
fumecheng-10575	337	9	846	846	NUM
fumecheng-10575	337	10	-	-	SYM
fumecheng-10575	337	11	852	852	NUM
fumecheng-10575	337	12	.	.	PUNCT
fumecheng-10575	338	1	4	4	NUM
fumecheng-10575	338	2	.	.	X
fumecheng-10575	338	3	fois	fois	PROPN
fumecheng-10575	338	4	,	,	PUNCT
fumecheng-10575	338	5	m.	m.	NOUN
fumecheng-10575	338	6	,	,	PUNCT
fumecheng-10575	338	7	cox	cox	PROPN
fumecheng-10575	338	8	,	,	PUNCT
fumecheng-10575	338	9	t.	t.	PROPN
fumecheng-10575	338	10	,	,	PUNCT
fumecheng-10575	338	11	ratcliffe	ratcliffe	PROPN
fumecheng-10575	338	12	,	,	PUNCT
fumecheng-10575	338	13	n.	n.	PROPN
fumecheng-10575	338	14	,	,	PUNCT
fumecheng-10575	338	15	costello	costello	PROPN
fumecheng-10575	338	16	,	,	PUNCT
fumecheng-10575	338	17	b.	b.	PROPN
fumecheng-10575	338	18	,	,	PUNCT
fumecheng-10575	338	19	2021	2021	NUM
fumecheng-10575	338	20	,	,	PUNCT
fumecheng-10575	338	21	rare	rare	ADJ
fumecheng-10575	338	22	earth	earth	NOUN
fumecheng-10575	338	23	doped	dope	VERB
fumecheng-10575	338	24	metal	metal	NOUN
fumecheng-10575	338	25	oxide	oxide	NOUN
fumecheng-10575	338	26	sensor	sensor	NOUN
fumecheng-10575	338	27	for	for	ADP
fumecheng-10575	338	28	the	the	DET
fumecheng-10575	338	29	multimodal	multimodal	ADJ
fumecheng-10575	338	30	detection	detection	NOUN
fumecheng-10575	338	31	of	of	ADP
fumecheng-10575	338	32	volatile	volatile	ADJ
fumecheng-10575	338	33	organic	organic	ADJ
fumecheng-10575	338	34	compounds	compound	NOUN
fumecheng-10575	338	35	(	(	PUNCT
fumecheng-10575	338	36	vocs	vocs	PROPN
fumecheng-10575	338	37	)	)	PUNCT
fumecheng-10575	338	38	,	,	PUNCT
fumecheng-10575	338	39	sensors	sensor	NOUN
fumecheng-10575	338	40	and	and	CCONJ
fumecheng-10575	338	41	actuators	actuator	NOUN
fumecheng-10575	338	42	b	b	X
fumecheng-10575	338	43	:	:	PUNCT
fumecheng-10575	338	44	chemical	chemical	NOUN
fumecheng-10575	338	45	,	,	PUNCT
fumecheng-10575	338	46	330	330	NUM
fumecheng-10575	338	47	,	,	PUNCT
fumecheng-10575	338	48	129264	129264	NUM
fumecheng-10575	338	49	.	.	PUNCT
fumecheng-10575	339	1	5	5	NUM
fumecheng-10575	339	2	.	.	X
fumecheng-10575	339	3	kazemi	kazemi	PROPN
fumecheng-10575	339	4	,	,	PUNCT
fumecheng-10575	339	5	e.	e.	PROPN
fumecheng-10575	339	6	,	,	PUNCT
fumecheng-10575	339	7	zadeh	zadeh	PROPN
fumecheng-10575	339	8	,	,	PUNCT
fumecheng-10575	339	9	d.s	d.s	PROPN
fumecheng-10575	339	10	.	.	PROPN
fumecheng-10575	339	11	,	,	PUNCT
fumecheng-10575	339	12	moshiri	moshiri	PROPN
fumecheng-10575	339	13	,	,	PUNCT
fumecheng-10575	339	14	b.	b.	PROPN
fumecheng-10575	339	15	,	,	PUNCT
fumecheng-10575	339	16	2021	2021	NUM
fumecheng-10575	339	17	,	,	PUNCT
fumecheng-10575	339	18	metal	metal	NOUN
fumecheng-10575	339	19	-	-	PUNCT
fumecheng-10575	339	20	oxide	oxide	NOUN
fumecheng-10575	339	21	-	-	PUNCT
fumecheng-10575	339	22	semiconductor	semiconductor	NOUN
fumecheng-10575	339	23	sensors	sensor	NOUN
fumecheng-10575	339	24	modeling	modeling	NOUN
fumecheng-10575	339	25	using	use	VERB
fumecheng-10575	339	26	ordered	order	VERB
fumecheng-10575	339	27	weighted	weight	VERB
fumecheng-10575	339	28	averaging	average	VERB
fumecheng-10575	339	29	(	(	PUNCT
fumecheng-10575	339	30	owa	owa	ADJ
fumecheng-10575	339	31	)	)	PUNCT
fumecheng-10575	339	32	operators	operator	NOUN
fumecheng-10575	339	33	in	in	ADP
fumecheng-10575	339	34	electronic	electronic	ADJ
fumecheng-10575	339	35	nose	nose	NOUN
fumecheng-10575	339	36	,	,	PUNCT
fumecheng-10575	339	37	measurement	measurement	NOUN
fumecheng-10575	339	38	,	,	PUNCT
fumecheng-10575	339	39	184	184	NUM
fumecheng-10575	339	40	,	,	PUNCT
fumecheng-10575	339	41	109932	109932	NUM
fumecheng-10575	339	42	.	.	PUNCT
fumecheng-10575	340	1	6	6	NUM
fumecheng-10575	340	2	.	.	X
fumecheng-10575	340	3	el	el	PROPN
fumecheng-10575	340	4	-	-	PUNCT
fumecheng-10575	340	5	shamy	shamy	PROPN
fumecheng-10575	340	6	,	,	PUNCT
fumecheng-10575	340	7	a.g	a.g	PROPN
fumecheng-10575	340	8	.	.	PROPN
fumecheng-10575	340	9	,	,	PUNCT
fumecheng-10575	340	10	2021	2021	NUM
fumecheng-10575	340	11	,	,	PUNCT
fumecheng-10575	340	12	new	new	ADJ
fumecheng-10575	340	13	nano	nano	NOUN
fumecheng-10575	340	14	-	-	PUNCT
fumecheng-10575	340	15	composite	composite	NOUN
fumecheng-10575	340	16	based	base	VERB
fumecheng-10575	340	17	on	on	ADP
fumecheng-10575	340	18	carbon	carbon	NOUN
fumecheng-10575	340	19	dots	dot	NOUN
fumecheng-10575	340	20	(	(	PUNCT
fumecheng-10575	340	21	cdots	cdot	NOUN
fumecheng-10575	340	22	)	)	PUNCT
fumecheng-10575	340	23	decorated	decorate	VERB
fumecheng-10575	340	24	magnesium	magnesium	NOUN
fumecheng-10575	340	25	oxide	oxide	NOUN
fumecheng-10575	340	26	(	(	PUNCT
fumecheng-10575	340	27	mgo	mgo	NOUN
fumecheng-10575	340	28	)	)	PUNCT
fumecheng-10575	340	29	nano	nano	NOUN
fumecheng-10575	340	30	-	-	PUNCT
fumecheng-10575	340	31	particles	particle	NOUN
fumecheng-10575	340	32	(	(	PUNCT
fumecheng-10575	340	33	cdots@mgo	cdots@mgo	NOUN
fumecheng-10575	340	34	)	)	PUNCT
fumecheng-10575	340	35	sensor	sensor	NOUN
fumecheng-10575	340	36	for	for	ADP
fumecheng-10575	340	37	high	high	ADJ
fumecheng-10575	340	38	h2s	h2s	NOUN
fumecheng-10575	340	39	gas	gas	NOUN
fumecheng-10575	340	40	sensitivity	sensitivity	NOUN
fumecheng-10575	340	41	performance	performance	NOUN
fumecheng-10575	340	42	,	,	PUNCT
fumecheng-10575	340	43	sensors	sensor	NOUN
fumecheng-10575	340	44	and	and	CCONJ
fumecheng-10575	340	45	actuators	actuator	NOUN
fumecheng-10575	340	46	b	b	X
fumecheng-10575	340	47	:	:	PUNCT
fumecheng-10575	340	48	chemical	chemical	NOUN
fumecheng-10575	340	49	,	,	PUNCT
fumecheng-10575	340	50	329	329	NUM
fumecheng-10575	340	51	,	,	PUNCT
fumecheng-10575	340	52	129154	129154	NUM
fumecheng-10575	340	53	.	.	PUNCT
fumecheng-10575	341	1	7	7	X
fumecheng-10575	341	2	.	.	X
fumecheng-10575	341	3	yoo	yoo	PROPN
fumecheng-10575	341	4	,	,	PUNCT
fumecheng-10575	341	5	r.	r.	PROPN
fumecheng-10575	341	6	,	,	PUNCT
fumecheng-10575	341	7	kim	kim	PROPN
fumecheng-10575	341	8	,	,	PUNCT
fumecheng-10575	341	9	j.	j.	PROPN
fumecheng-10575	341	10	,	,	PUNCT
fumecheng-10575	341	11	song	song	NOUN
fumecheng-10575	341	12	,	,	PUNCT
fumecheng-10575	341	13	m.j	m.j	PROPN
fumecheng-10575	341	14	.	.	PROPN
fumecheng-10575	341	15	,	,	PUNCT
fumecheng-10575	341	16	lee	lee	PROPN
fumecheng-10575	341	17	,	,	PUNCT
fumecheng-10575	341	18	w.	w.	PROPN
fumecheng-10575	341	19	,	,	PUNCT
fumecheng-10575	341	20	noh	noh	PROPN
fumecheng-10575	341	21	,	,	PUNCT
fumecheng-10575	341	22	j.s	j.s	PROPN
fumecheng-10575	341	23	.	.	PROPN
fumecheng-10575	341	24	,	,	PUNCT
fumecheng-10575	341	25	2015	2015	NUM
fumecheng-10575	341	26	,	,	PUNCT
fumecheng-10575	341	27	nano	nano	NOUN
fumecheng-10575	341	28	-	-	PUNCT
fumecheng-10575	341	29	composite	composite	ADJ
fumecheng-10575	341	30	sensors	sensor	NOUN
fumecheng-10575	341	31	composed	compose	VERB
fumecheng-10575	341	32	of	of	ADP
fumecheng-10575	341	33	singlewalled	singlewalle	VERB
fumecheng-10575	341	34	carbon	carbon	NOUN
fumecheng-10575	341	35	nanotubes	nanotube	NOUN
fumecheng-10575	341	36	and	and	CCONJ
fumecheng-10575	341	37	polyaniline	polyaniline	NOUN
fumecheng-10575	341	38	for	for	ADP
fumecheng-10575	341	39	the	the	DET
fumecheng-10575	341	40	detection	detection	NOUN
fumecheng-10575	341	41	of	of	ADP
fumecheng-10575	341	42	a	a	DET
fumecheng-10575	341	43	nerve	nerve	NOUN
fumecheng-10575	341	44	agent	agent	NOUN
fumecheng-10575	341	45	simulant	simulant	ADJ
fumecheng-10575	341	46	gas	gas	NOUN
fumecheng-10575	341	47	,	,	PUNCT
fumecheng-10575	341	48	sensors	sensor	NOUN
fumecheng-10575	341	49	and	and	CCONJ
fumecheng-10575	341	50	actuators	actuator	NOUN
fumecheng-10575	341	51	b	b	X
fumecheng-10575	341	52	:	:	PUNCT
fumecheng-10575	341	53	chemical	chemical	NOUN
fumecheng-10575	341	54	,	,	PUNCT
fumecheng-10575	341	55	209	209	NUM
fumecheng-10575	341	56	,	,	PUNCT
fumecheng-10575	341	57	pp	pp	ADJ
fumecheng-10575	341	58	.	.	PUNCT
fumecheng-10575	342	1	444	444	NUM
fumecheng-10575	342	2	-	-	SYM
fumecheng-10575	342	3	448	448	NUM
fumecheng-10575	342	4	.	.	NOUN
fumecheng-10575	343	1	8	8	NUM
fumecheng-10575	343	2	.	.	PUNCT
fumecheng-10575	343	3	matindoust	matindoust	PROPN
fumecheng-10575	343	4	,	,	PUNCT
fumecheng-10575	343	5	s.	s.	PROPN
fumecheng-10575	343	6	,	,	PUNCT
fumecheng-10575	343	7	farzi	farzi	NOUN
fumecheng-10575	343	8	,	,	PUNCT
fumecheng-10575	343	9	g.	g.	PROPN
fumecheng-10575	343	10	,	,	PUNCT
fumecheng-10575	343	11	nejad	nejad	PROPN
fumecheng-10575	343	12	,	,	PUNCT
fumecheng-10575	343	13	m.b	m.b	PROPN
fumecheng-10575	343	14	.	.	PROPN
fumecheng-10575	343	15	,	,	PUNCT
fumecheng-10575	343	16	shahrokhabadi	shahrokhabadi	PROPN
fumecheng-10575	343	17	,	,	PUNCT
fumecheng-10575	343	18	m.h	m.h	PROPN
fumecheng-10575	343	19	.	.	PROPN
fumecheng-10575	343	20	,	,	PUNCT
fumecheng-10575	343	21	2021	2021	NUM
fumecheng-10575	343	22	,	,	PUNCT
fumecheng-10575	343	23	polymer	polymer	NOUN
fumecheng-10575	343	24	-	-	PUNCT
fumecheng-10575	343	25	based	base	VERB
fumecheng-10575	343	26	gas	gas	NOUN
fumecheng-10575	343	27	sensors	sensor	NOUN
fumecheng-10575	343	28	to	to	PART
fumecheng-10575	343	29	detect	detect	VERB
fumecheng-10575	343	30	meat	meat	NOUN
fumecheng-10575	343	31	spoilage	spoilage	NOUN
fumecheng-10575	343	32	:	:	PUNCT
fumecheng-10575	343	33	a	a	DET
fumecheng-10575	343	34	review	review	NOUN
fumecheng-10575	343	35	,	,	PUNCT
fumecheng-10575	343	36	reactive	reactive	ADJ
fumecheng-10575	343	37	and	and	CCONJ
fumecheng-10575	343	38	functional	functional	ADJ
fumecheng-10575	343	39	polymers	polymer	NOUN
fumecheng-10575	343	40	,	,	PUNCT
fumecheng-10575	343	41	165	165	NUM
fumecheng-10575	343	42	,	,	PUNCT
fumecheng-10575	343	43	104962	104962	NUM
fumecheng-10575	343	44	.	.	PUNCT
fumecheng-10575	344	1	9	9	NUM
fumecheng-10575	344	2	.	.	X
fumecheng-10575	344	3	zhou	zhou	PROPN
fumecheng-10575	344	4	,	,	PUNCT
fumecheng-10575	344	5	z.	z.	PROPN
fumecheng-10575	344	6	,	,	PUNCT
fumecheng-10575	344	7	xu	xu	PROPN
fumecheng-10575	344	8	,	,	PUNCT
fumecheng-10575	344	9	y.	y.	PROPN
fumecheng-10575	344	10	,	,	PUNCT
fumecheng-10575	344	11	qiao	qiao	PROPN
fumecheng-10575	344	12	,	,	PUNCT
fumecheng-10575	344	13	c.	c.	PROPN
fumecheng-10575	344	14	,	,	PUNCT
fumecheng-10575	344	15	liu	liu	PROPN
fumecheng-10575	344	16	,	,	PUNCT
fumecheng-10575	344	17	l.	l.	PROPN
fumecheng-10575	344	18	,	,	PUNCT
fumecheng-10575	344	19	jia	jia	PROPN
fumecheng-10575	344	20	,	,	PUNCT
fumecheng-10575	344	21	y.	y.	PROPN
fumecheng-10575	344	22	,	,	PUNCT
fumecheng-10575	344	23	2021	2021	NUM
fumecheng-10575	344	24	,	,	PUNCT
fumecheng-10575	344	25	a	a	DET
fumecheng-10575	344	26	novel	novel	ADJ
fumecheng-10575	344	27	low	low	ADJ
fumecheng-10575	344	28	-	-	PUNCT
fumecheng-10575	344	29	cost	cost	NOUN
fumecheng-10575	344	30	gas	gas	NOUN
fumecheng-10575	344	31	sensor	sensor	NOUN
fumecheng-10575	344	32	for	for	ADP
fumecheng-10575	344	33	co2	co2	NOUN
fumecheng-10575	344	34	detection	detection	NOUN
fumecheng-10575	344	35	using	use	VERB
fumecheng-10575	344	36	polymer	polymer	NOUN
fumecheng-10575	344	37	-	-	PUNCT
fumecheng-10575	344	38	coated	coat	VERB
fumecheng-10575	344	39	fiber	fiber	NOUN
fumecheng-10575	344	40	bragg	bragg	PROPN
fumecheng-10575	344	41	grating	grating	PROPN
fumecheng-10575	344	42	,	,	PUNCT
fumecheng-10575	344	43	sensors	sensor	NOUN
fumecheng-10575	344	44	and	and	CCONJ
fumecheng-10575	344	45	actuators	actuator	NOUN
fumecheng-10575	344	46	b	b	X
fumecheng-10575	344	47	:	:	PUNCT
fumecheng-10575	344	48	chemical	chemical	NOUN
fumecheng-10575	344	49	,	,	PUNCT
fumecheng-10575	344	50	332	332	NUM
fumecheng-10575	344	51	,	,	PUNCT
fumecheng-10575	344	52	129482	129482	NUM
fumecheng-10575	344	53	.	.	PUNCT
fumecheng-10575	345	1	10	10	NUM
fumecheng-10575	345	2	.	.	X
fumecheng-10575	346	1	jakubik	jakubik	PROPN
fumecheng-10575	346	2	,	,	PUNCT
fumecheng-10575	346	3	w.p	w.p	PROPN
fumecheng-10575	346	4	.	.	PROPN
fumecheng-10575	346	5	,	,	PUNCT
fumecheng-10575	346	6	2011	2011	NUM
fumecheng-10575	346	7	,	,	PUNCT
fumecheng-10575	346	8	surface	surface	NOUN
fumecheng-10575	346	9	acoustic	acoustic	ADJ
fumecheng-10575	346	10	wave	wave	NOUN
fumecheng-10575	346	11	-	-	PUNCT
fumecheng-10575	346	12	based	base	VERB
fumecheng-10575	346	13	gas	gas	NOUN
fumecheng-10575	346	14	sensors	sensor	NOUN
fumecheng-10575	346	15	,	,	PUNCT
fumecheng-10575	346	16	thin	thin	ADJ
fumecheng-10575	346	17	solid	solid	ADJ
fumecheng-10575	346	18	films	film	NOUN
fumecheng-10575	346	19	,	,	PUNCT
fumecheng-10575	346	20	520	520	NUM
fumecheng-10575	346	21	,	,	PUNCT
fumecheng-10575	346	22	pp	pp	ADJ
fumecheng-10575	346	23	.	.	PUNCT
fumecheng-10575	347	1	986	986	NUM
fumecheng-10575	347	2	-	-	SYM
fumecheng-10575	347	3	993	993	NUM
fumecheng-10575	347	4	.	.	PUNCT
fumecheng-10575	348	1	11	11	NUM
fumecheng-10575	348	2	.	.	X
fumecheng-10575	348	3	nitzsche	nitzsche	NOUN
fumecheng-10575	348	4	,	,	PUNCT
fumecheng-10575	348	5	l.	l.	PROPN
fumecheng-10575	348	6	,	,	PUNCT
fumecheng-10575	348	7	goldschmidt	goldschmidt	PROPN
fumecheng-10575	348	8	,	,	PUNCT
fumecheng-10575	348	9	j.	j.	PROPN
fumecheng-10575	348	10	,	,	PUNCT
fumecheng-10575	348	11	lambrecht	lambrecht	PROPN
fumecheng-10575	348	12	,	,	PUNCT
fumecheng-10575	348	13	a.	a.	NOUN
fumecheng-10575	348	14	,	,	PUNCT
fumecheng-10575	348	15	wöllenstein	wöllenstein	PROPN
fumecheng-10575	348	16	,	,	PUNCT
fumecheng-10575	348	17	j.	j.	PROPN
fumecheng-10575	348	18	,	,	PUNCT
fumecheng-10575	348	19	2021	2021	NUM
fumecheng-10575	348	20	,	,	PUNCT
fumecheng-10575	348	21	two	two	NUM
fumecheng-10575	348	22	-	-	PUNCT
fumecheng-10575	348	23	component	component	NOUN
fumecheng-10575	348	24	gas	gas	NOUN
fumecheng-10575	348	25	sensing	sense	VERB
fumecheng-10575	348	26	with	with	ADP
fumecheng-10575	348	27	mir	mir	NOUN
fumecheng-10575	348	28	dual	dual	ADJ
fumecheng-10575	348	29	comb	comb	NOUN
fumecheng-10575	348	30	spectroscopy	spectroscopy	NOUN
fumecheng-10575	348	31	,	,	PUNCT
fumecheng-10575	348	32	tm	tm	PROPN
fumecheng-10575	348	33	technisches	technische	VERB
fumecheng-10575	348	34	messen	messen	PROPN
fumecheng-10575	348	35	,	,	PUNCT
fumecheng-10575	348	36	89	89	NUM
fumecheng-10575	348	37	,	,	PUNCT
fumecheng-10575	348	38	pp	pp	ADJ
fumecheng-10575	348	39	.	.	PUNCT
fumecheng-10575	349	1	50	50	NUM
fumecheng-10575	349	2	-	-	SYM
fumecheng-10575	349	3	59	59	NUM
fumecheng-10575	349	4	.	.	PUNCT
fumecheng-10575	350	1	12	12	NUM
fumecheng-10575	350	2	.	.	PUNCT
fumecheng-10575	351	1	blanco	blanco	NOUN
fumecheng-10575	351	2	-	-	PUNCT
fumecheng-10575	351	3	novoa	novoa	ADJ
fumecheng-10575	351	4	,	,	PUNCT
fumecheng-10575	351	5	o.	o.	PROPN
fumecheng-10575	351	6	,	,	PUNCT
fumecheng-10575	351	7	fernández	fernández	PROPN
fumecheng-10575	351	8	-	-	PUNCT
fumecheng-10575	351	9	caramés	caramés	PROPN
fumecheng-10575	351	10	,	,	PUNCT
fumecheng-10575	351	11	t.m	t.m	PROPN
fumecheng-10575	351	12	.	.	PROPN
fumecheng-10575	351	13	,	,	PUNCT
fumecheng-10575	351	14	fraga	fraga	NOUN
fumecheng-10575	351	15	-	-	PUNCT
fumecheng-10575	351	16	lamas	lama	NOUN
fumecheng-10575	351	17	,	,	PUNCT
fumecheng-10575	351	18	p.	p.	NOUN
fumecheng-10575	351	19	,	,	PUNCT
fumecheng-10575	351	20	castedo	castedo	PROPN
fumecheng-10575	351	21	,	,	PUNCT
fumecheng-10575	351	22	l.	l.	PROPN
fumecheng-10575	351	23	,	,	PUNCT
fumecheng-10575	351	24	2018	2018	NUM
fumecheng-10575	351	25	,	,	PUNCT
fumecheng-10575	351	26	a	a	DET
fumecheng-10575	351	27	cost	cost	NOUN
fumecheng-10575	351	28	-	-	PUNCT
fumecheng-10575	351	29	effective	effective	ADJ
fumecheng-10575	351	30	iot	iot	NOUN
fumecheng-10575	351	31	system	system	NOUN
fumecheng-10575	351	32	for	for	ADP
fumecheng-10575	351	33	monitoring	monitor	VERB
fumecheng-10575	351	34	indoor	indoor	ADJ
fumecheng-10575	351	35	radon	radon	PROPN
fumecheng-10575	351	36	gas	gas	NOUN
fumecheng-10575	351	37	concentration	concentration	NOUN
fumecheng-10575	351	38	,	,	PUNCT
fumecheng-10575	351	39	sensors	sensor	NOUN
fumecheng-10575	351	40	(	(	PUNCT
fumecheng-10575	351	41	switzerland	switzerland	PROPN
fumecheng-10575	351	42	)	)	PUNCT
fumecheng-10575	351	43	,	,	PUNCT
fumecheng-10575	351	44	18	18	NUM
fumecheng-10575	351	45	,	,	PUNCT
fumecheng-10575	351	46	2198	2198	NUM
fumecheng-10575	351	47	.	.	PUNCT
fumecheng-10575	352	1	13	13	NUM
fumecheng-10575	352	2	.	.	PUNCT
fumecheng-10575	353	1	chen	chen	PROPN
fumecheng-10575	353	2	,	,	PUNCT
fumecheng-10575	353	3	j.	j.	PROPN
fumecheng-10575	353	4	,	,	PUNCT
fumecheng-10575	353	5	gu	gu	PROPN
fumecheng-10575	353	6	,	,	PUNCT
fumecheng-10575	353	7	j.	j.	PROPN
fumecheng-10575	353	8	,	,	PUNCT
fumecheng-10575	353	9	zhang	zhang	PROPN
fumecheng-10575	353	10	,	,	PUNCT
fumecheng-10575	353	11	r.	r.	PROPN
fumecheng-10575	353	12	,	,	PUNCT
fumecheng-10575	353	13	mao	mao	PROPN
fumecheng-10575	353	14	,	,	PUNCT
fumecheng-10575	353	15	y.	y.	PROPN
fumecheng-10575	353	16	,	,	PUNCT
fumecheng-10575	353	17	tian	tian	PROPN
fumecheng-10575	353	18	,	,	PUNCT
fumecheng-10575	353	19	s.	s.	PROPN
fumecheng-10575	353	20	,	,	PUNCT
fumecheng-10575	353	21	2019	2019	NUM
fumecheng-10575	353	22	,	,	PUNCT
fumecheng-10575	353	23	freshness	freshness	NOUN
fumecheng-10575	353	24	evaluation	evaluation	NOUN
fumecheng-10575	353	25	of	of	ADP
fumecheng-10575	353	26	three	three	NUM
fumecheng-10575	353	27	kinds	kind	NOUN
fumecheng-10575	353	28	of	of	ADP
fumecheng-10575	353	29	meats	meat	NOUN
fumecheng-10575	353	30	based	base	VERB
fumecheng-10575	353	31	on	on	ADP
fumecheng-10575	353	32	the	the	DET
fumecheng-10575	353	33	electronic	electronic	ADJ
fumecheng-10575	353	34	nose	nose	NOUN
fumecheng-10575	353	35	,	,	PUNCT
fumecheng-10575	353	36	sensors	sensor	NOUN
fumecheng-10575	353	37	(	(	PUNCT
fumecheng-10575	353	38	switzerland	switzerland	PROPN
fumecheng-10575	353	39	)	)	PUNCT
fumecheng-10575	353	40	,	,	PUNCT
fumecheng-10575	353	41	19	19	NUM
fumecheng-10575	353	42	,	,	PUNCT
fumecheng-10575	353	43	605	605	NUM
fumecheng-10575	353	44	.	.	PUNCT
fumecheng-10575	353	45	14	14	NUM
fumecheng-10575	353	46	.	.	PUNCT
fumecheng-10575	354	1	ashari	ashari	PROPN
fumecheng-10575	354	2	,	,	PUNCT
fumecheng-10575	354	3	i.a	i.a	PROPN
fumecheng-10575	354	4	.	.	PROPN
fumecheng-10575	354	5	,	,	PUNCT
fumecheng-10575	354	6	widodo	widodo	PROPN
fumecheng-10575	354	7	,	,	PUNCT
fumecheng-10575	354	8	a.p	a.p	PROPN
fumecheng-10575	354	9	.	.	PROPN
fumecheng-10575	354	10	,	,	PUNCT
fumecheng-10575	354	11	suryono	suryono	PROPN
fumecheng-10575	354	12	,	,	PUNCT
fumecheng-10575	354	13	s.	s.	PROPN
fumecheng-10575	354	14	,	,	PUNCT
fumecheng-10575	354	15	2019	2019	NUM
fumecheng-10575	354	16	,	,	PUNCT
fumecheng-10575	354	17	the	the	DET
fumecheng-10575	354	18	monitoring	monitoring	NOUN
fumecheng-10575	354	19	system	system	NOUN
fumecheng-10575	354	20	for	for	ADP
fumecheng-10575	354	21	ammonia	ammonia	ADJ
fumecheng-10575	354	22	gas	gas	NOUN
fumecheng-10575	354	23	(	(	PUNCT
fumecheng-10575	354	24	nh3	nh3	NOUN
fumecheng-10575	354	25	)	)	PUNCT
fumecheng-10575	354	26	hazard	hazard	NOUN
fumecheng-10575	354	27	detection	detection	NOUN
fumecheng-10575	354	28	in	in	ADP
fumecheng-10575	354	29	the	the	DET
fumecheng-10575	354	30	livestock	livestock	NOUN
fumecheng-10575	354	31	environment	environment	NOUN
fumecheng-10575	354	32	uses	use	VERB
fumecheng-10575	354	33	inverse	inverse	NOUN
fumecheng-10575	354	34	distance	distance	NOUN
fumecheng-10575	354	35	weight	weight	NOUN
fumecheng-10575	354	36	method	method	NOUN
fumecheng-10575	354	37	,	,	PUNCT
fumecheng-10575	354	38	2019	2019	NUM
fumecheng-10575	354	39	fourth	fourth	ADJ
fumecheng-10575	354	40	international	international	ADJ
fumecheng-10575	354	41	conference	conference	NOUN
fumecheng-10575	354	42	on	on	ADP
fumecheng-10575	354	43	informatics	informatic	NOUN
fumecheng-10575	354	44	and	and	CCONJ
fumecheng-10575	354	45	computing	computing	NOUN
fumecheng-10575	354	46	(	(	PUNCT
fumecheng-10575	354	47	icic	icic	PROPN
fumecheng-10575	354	48	)	)	PUNCT
fumecheng-10575	354	49	,	,	PUNCT
fumecheng-10575	354	50	pp	pp	PROPN
fumecheng-10575	354	51	.	.	PUNCT
fumecheng-10575	355	1	1	1	NUM
fumecheng-10575	355	2	-	-	SYM
fumecheng-10575	355	3	6	6	NUM
fumecheng-10575	355	4	.	.	NOUN
fumecheng-10575	355	5	15	15	NUM
fumecheng-10575	355	6	.	.	PUNCT
fumecheng-10575	356	1	kao	kao	PROPN
fumecheng-10575	356	2	,	,	PUNCT
fumecheng-10575	356	3	k.a	k.a	PROPN
fumecheng-10575	356	4	.	.	PROPN
fumecheng-10575	356	5	,	,	PUNCT
fumecheng-10575	356	6	cheng	cheng	PROPN
fumecheng-10575	356	7	,	,	PUNCT
fumecheng-10575	356	8	c.	c.	PROPN
fumecheng-10575	356	9	,	,	PUNCT
fumecheng-10575	356	10	gwo	gwo	PROPN
fumecheng-10575	356	11	,	,	PUNCT
fumecheng-10575	356	12	s.	s.	PROPN
fumecheng-10575	356	13	,	,	PUNCT
fumecheng-10575	356	14	yeh	yeh	PROPN
fumecheng-10575	356	15	,	,	PUNCT
fumecheng-10575	356	16	j.a	j.a	PROPN
fumecheng-10575	356	17	.	.	PROPN
fumecheng-10575	356	18	,	,	PUNCT
fumecheng-10575	356	19	2015	2015	NUM
fumecheng-10575	356	20	,	,	PUNCT
fumecheng-10575	356	21	a	a	DET
fumecheng-10575	356	22	semiconductor	semiconductor	NOUN
fumecheng-10575	356	23	gas	gas	NOUN
fumecheng-10575	356	24	system	system	NOUN
fumecheng-10575	356	25	of	of	ADP
fumecheng-10575	356	26	healthcare	healthcare	NOUN
fumecheng-10575	356	27	for	for	ADP
fumecheng-10575	356	28	liver	liver	NOUN
fumecheng-10575	356	29	disease	disease	NOUN
fumecheng-10575	356	30	detection	detection	NOUN
fumecheng-10575	356	31	using	use	VERB
fumecheng-10575	356	32	ultrathin	ultrathin	PROPN
fumecheng-10575	356	33	inn	inn	PROPN
fumecheng-10575	356	34	-	-	PUNCT
fumecheng-10575	356	35	based	base	VERB
fumecheng-10575	356	36	sensor	sensor	NOUN
fumecheng-10575	356	37	,	,	PUNCT
fumecheng-10575	356	38	ecs	ec	NOUN
fumecheng-10575	356	39	transactions	transaction	NOUN
fumecheng-10575	356	40	,	,	PUNCT
fumecheng-10575	356	41	66	66	NUM
fumecheng-10575	356	42	,	,	PUNCT
fumecheng-10575	356	43	pp	pp	ADJ
fumecheng-10575	356	44	.	.	PUNCT
fumecheng-10575	357	1	151	151	NUM
fumecheng-10575	357	2	-	-	SYM
fumecheng-10575	357	3	157	157	NUM
fumecheng-10575	357	4	.	.	PUNCT
fumecheng-10575	358	1	16	16	NUM
fumecheng-10575	358	2	.	.	PUNCT
fumecheng-10575	359	1	chen	chen	PROPN
fumecheng-10575	359	2	,	,	PUNCT
fumecheng-10575	359	3	z.	z.	PROPN
fumecheng-10575	359	4	,	,	PUNCT
fumecheng-10575	359	5	chen	chen	PROPN
fumecheng-10575	359	6	,	,	PUNCT
fumecheng-10575	359	7	z.	z.	PROPN
fumecheng-10575	359	8	,	,	PUNCT
fumecheng-10575	359	9	song	song	PROPN
fumecheng-10575	359	10	,	,	PUNCT
fumecheng-10575	359	11	z.	z.	PROPN
fumecheng-10575	359	12	,	,	PUNCT
fumecheng-10575	359	13	ye	ye	PROPN
fumecheng-10575	359	14	,	,	PUNCT
fumecheng-10575	359	15	w.	w.	PROPN
fumecheng-10575	359	16	,	,	PUNCT
fumecheng-10575	359	17	fan	fan	PROPN
fumecheng-10575	359	18	,	,	PUNCT
fumecheng-10575	359	19	z.	z.	PROPN
fumecheng-10575	359	20	,	,	PUNCT
fumecheng-10575	359	21	2019	2019	NUM
fumecheng-10575	359	22	,	,	PUNCT
fumecheng-10575	359	23	smart	smart	ADJ
fumecheng-10575	359	24	gas	gas	NOUN
fumecheng-10575	359	25	sensor	sensor	NOUN
fumecheng-10575	359	26	arrays	array	VERB
fumecheng-10575	359	27	powered	power	VERB
fumecheng-10575	359	28	by	by	ADP
fumecheng-10575	359	29	artificial	artificial	ADJ
fumecheng-10575	359	30	intelligence	intelligence	NOUN
fumecheng-10575	359	31	,	,	PUNCT
fumecheng-10575	359	32	journal	journal	NOUN
fumecheng-10575	359	33	of	of	ADP
fumecheng-10575	359	34	semiconductors	semiconductor	NOUN
fumecheng-10575	359	35	,	,	PUNCT
fumecheng-10575	359	36	40	40	NUM
fumecheng-10575	359	37	,	,	PUNCT
fumecheng-10575	359	38	111601	111601	NUM
fumecheng-10575	359	39	.	.	PUNCT
fumecheng-10575	360	1	17	17	NUM
fumecheng-10575	360	2	.	.	PUNCT
fumecheng-10575	360	3	hunter	hunter	NOUN
fumecheng-10575	360	4	,	,	PUNCT
fumecheng-10575	360	5	g.w	g.w	PROPN
fumecheng-10575	360	6	.	.	PROPN
fumecheng-10575	360	7	,	,	PUNCT
fumecheng-10575	360	8	akbar	akbar	PROPN
fumecheng-10575	360	9	,	,	PUNCT
fumecheng-10575	360	10	s.	s.	PROPN
fumecheng-10575	360	11	,	,	PUNCT
fumecheng-10575	360	12	bhansali	bhansali	PROPN
fumecheng-10575	360	13	,	,	PUNCT
fumecheng-10575	360	14	s.	s.	PROPN
fumecheng-10575	360	15	,	,	PUNCT
fumecheng-10575	360	16	daniele	daniele	PROPN
fumecheng-10575	360	17	,	,	PUNCT
fumecheng-10575	360	18	m.	m.	NOUN
fumecheng-10575	360	19	,	,	PUNCT
fumecheng-10575	360	20	erb	erb	NOUN
fumecheng-10575	360	21	,	,	PUNCT
fumecheng-10575	360	22	p.d	p.d	PROPN
fumecheng-10575	360	23	.	.	PROPN
fumecheng-10575	360	24	,	,	PUNCT
fumecheng-10575	360	25	johnson	johnson	PROPN
fumecheng-10575	360	26	,	,	PUNCT
fumecheng-10575	360	27	k.	k.	PROPN
fumecheng-10575	360	28	,	,	PUNCT
fumecheng-10575	360	29	liu	liu	PROPN
fumecheng-10575	360	30	,	,	PUNCT
fumecheng-10575	360	31	c.	c.	PROPN
fumecheng-10575	360	32	,	,	PUNCT
fumecheng-10575	360	33	miller	miller	PROPN
fumecheng-10575	360	34	,	,	PUNCT
fumecheng-10575	360	35	d.	d.	PROPN
fumecheng-10575	360	36	,	,	PUNCT
fumecheng-10575	360	37	oralkan	oralkan	ADJ
fumecheng-10575	360	38	,	,	PUNCT
fumecheng-10575	360	39	o.	o.	PROPN
fumecheng-10575	360	40	,	,	PUNCT
fumecheng-10575	360	41	hesketh	hesketh	PROPN
fumecheng-10575	360	42	,	,	PUNCT
fumecheng-10575	360	43	p.j	p.j	PROPN
fumecheng-10575	360	44	.	.	PROPN
fumecheng-10575	360	45	,	,	PUNCT
fumecheng-10575	360	46	2020	2020	NUM
fumecheng-10575	360	47	,	,	PUNCT
fumecheng-10575	360	48	editors	editor	NOUN
fumecheng-10575	360	49	’	'	PUNCT
fumecheng-10575	360	50	choice	choice	NOUN
fumecheng-10575	360	51	—	—	PUNCT
fumecheng-10575	360	52	critical	critical	ADJ
fumecheng-10575	360	53	review	review	NOUN
fumecheng-10575	360	54	—	—	PUNCT
fumecheng-10575	360	55	a	a	DET
fumecheng-10575	360	56	critical	critical	ADJ
fumecheng-10575	360	57	review	review	NOUN
fumecheng-10575	360	58	of	of	ADP
fumecheng-10575	360	59	solid	solid	ADJ
fumecheng-10575	360	60	state	state	NOUN
fumecheng-10575	360	61	gas	gas	NOUN
fumecheng-10575	360	62	sensors	sensor	NOUN
fumecheng-10575	360	63	,	,	PUNCT
fumecheng-10575	360	64	journal	journal	NOUN
fumecheng-10575	360	65	of	of	ADP
fumecheng-10575	360	66	the	the	DET
fumecheng-10575	360	67	electrochemical	electrochemical	ADJ
fumecheng-10575	360	68	society	society	NOUN
fumecheng-10575	360	69	,	,	PUNCT
fumecheng-10575	360	70	167	167	NUM
fumecheng-10575	360	71	,	,	PUNCT
fumecheng-10575	360	72	037570	037570	NUM
fumecheng-10575	360	73	.	.	PUNCT
fumecheng-10575	361	1	assessment	assessment	NOUN
fumecheng-10575	361	2	and	and	CCONJ
fumecheng-10575	361	3	performance	performance	NOUN
fumecheng-10575	361	4	analysis	analysis	NOUN
fumecheng-10575	361	5	of	of	ADP
fumecheng-10575	361	6	machine	machine	NOUN
fumecheng-10575	361	7	learning	learn	VERB
fumecheng-10575	361	8	techniques	technique	NOUN
fumecheng-10575	361	9	for	for	ADP
fumecheng-10575	361	10	gas	gas	NOUN
fumecheng-10575	361	11	sensing	sense	VERB
fumecheng-10575	361	12	e	e	NOUN
fumecheng-10575	361	13	-	-	NOUN
fumecheng-10575	361	14	nose	nose	NOUN
fumecheng-10575	361	15	...	...	PUNCT
fumecheng-10575	361	16	501	501	NUM
fumecheng-10575	361	17	18	18	NUM
fumecheng-10575	361	18	.	.	PUNCT
fumecheng-10575	361	19	fonollosa	fonollosa	PROPN
fumecheng-10575	361	20	,	,	PUNCT
fumecheng-10575	361	21	j.	j.	PROPN
fumecheng-10575	361	22	,	,	PUNCT
fumecheng-10575	361	23	fernández	fernández	PROPN
fumecheng-10575	361	24	,	,	PUNCT
fumecheng-10575	361	25	l.	l.	PROPN
fumecheng-10575	361	26	,	,	PUNCT
fumecheng-10575	361	27	gutiérrez	gutiérrez	NOUN
fumecheng-10575	361	28	-	-	PUNCT
fumecheng-10575	361	29	gálvez	gálvez	NOUN
fumecheng-10575	361	30	,	,	PUNCT
fumecheng-10575	361	31	a.	a.	PROPN
fumecheng-10575	361	32	,	,	PUNCT
fumecheng-10575	361	33	huerta	huerta	PROPN
fumecheng-10575	361	34	,	,	PUNCT
fumecheng-10575	361	35	r.	r.	PROPN
fumecheng-10575	361	36	,	,	PUNCT
fumecheng-10575	361	37	marco	marco	PROPN
fumecheng-10575	361	38	,	,	PUNCT
fumecheng-10575	361	39	s.	s.	PROPN
fumecheng-10575	361	40	,	,	PUNCT
fumecheng-10575	361	41	2016	2016	NUM
fumecheng-10575	361	42	,	,	PUNCT
fumecheng-10575	361	43	calibration	calibration	NOUN
fumecheng-10575	361	44	transfer	transfer	NOUN
fumecheng-10575	361	45	and	and	CCONJ
fumecheng-10575	361	46	drift	drift	NOUN
fumecheng-10575	361	47	counteraction	counteraction	NOUN
fumecheng-10575	361	48	in	in	ADP
fumecheng-10575	361	49	chemical	chemical	ADJ
fumecheng-10575	361	50	sensor	sensor	NOUN
fumecheng-10575	361	51	arrays	array	VERB
fumecheng-10575	361	52	using	use	VERB
fumecheng-10575	361	53	direct	direct	ADJ
fumecheng-10575	361	54	standardization	standardization	NOUN
fumecheng-10575	361	55	,	,	PUNCT
fumecheng-10575	361	56	sensors	sensor	NOUN
fumecheng-10575	361	57	and	and	CCONJ
fumecheng-10575	361	58	actuators	actuator	NOUN
fumecheng-10575	361	59	b	b	X
fumecheng-10575	361	60	:	:	PUNCT
fumecheng-10575	361	61	chemical	chemical	NOUN
fumecheng-10575	361	62	,	,	PUNCT
fumecheng-10575	361	63	236	236	NUM
fumecheng-10575	361	64	,	,	PUNCT
fumecheng-10575	361	65	pp	pp	ADJ
fumecheng-10575	361	66	.	.	PUNCT
fumecheng-10575	362	1	1044	1044	NUM
fumecheng-10575	362	2	-	-	SYM
fumecheng-10575	362	3	1053	1053	NUM
fumecheng-10575	362	4	.	.	PUNCT
fumecheng-10575	363	1	19	19	NUM
fumecheng-10575	363	2	.	.	PUNCT
fumecheng-10575	364	1	vergara	vergara	PROPN
fumecheng-10575	364	2	,	,	PUNCT
fumecheng-10575	364	3	a.	a.	PROPN
fumecheng-10575	364	4	,	,	PUNCT
fumecheng-10575	364	5	vembu	vembu	NOUN
fumecheng-10575	364	6	,	,	PUNCT
fumecheng-10575	364	7	s.	s.	PROPN
fumecheng-10575	364	8	,	,	PUNCT
fumecheng-10575	364	9	ayhan	ayhan	PROPN
fumecheng-10575	364	10	,	,	PUNCT
fumecheng-10575	364	11	t.	t.	PROPN
fumecheng-10575	364	12	,	,	PUNCT
fumecheng-10575	364	13	ryan	ryan	PROPN
fumecheng-10575	364	14	,	,	PUNCT
fumecheng-10575	364	15	m.a	m.a	PROPN
fumecheng-10575	364	16	.	.	PROPN
fumecheng-10575	364	17	,	,	PUNCT
fumecheng-10575	364	18	homer	homer	NOUN
fumecheng-10575	364	19	,	,	PUNCT
fumecheng-10575	365	1	m.l	m.l	PROPN
fumecheng-10575	365	2	.	.	PROPN
fumecheng-10575	365	3	,	,	PUNCT
fumecheng-10575	365	4	huerta	huerta	PROPN
fumecheng-10575	365	5	,	,	PUNCT
fumecheng-10575	365	6	r.	r.	PROPN
fumecheng-10575	365	7	,	,	PUNCT
fumecheng-10575	365	8	2012	2012	NUM
fumecheng-10575	365	9	,	,	PUNCT
fumecheng-10575	365	10	chemical	chemical	NOUN
fumecheng-10575	365	11	gas	gas	NOUN
fumecheng-10575	365	12	sensor	sensor	NOUN
fumecheng-10575	365	13	drift	drift	NOUN
fumecheng-10575	365	14	compensation	compensation	NOUN
fumecheng-10575	365	15	using	use	VERB
fumecheng-10575	365	16	classifier	classifier	NOUN
fumecheng-10575	365	17	ensembles	ensemble	NOUN
fumecheng-10575	365	18	,	,	PUNCT
fumecheng-10575	365	19	sensors	sensor	NOUN
fumecheng-10575	365	20	and	and	CCONJ
fumecheng-10575	365	21	actuators	actuator	NOUN
fumecheng-10575	365	22	b	b	X
fumecheng-10575	365	23	:	:	PUNCT
fumecheng-10575	365	24	chemical	chemical	NOUN
fumecheng-10575	365	25	,	,	PUNCT
fumecheng-10575	365	26	166	166	NUM
fumecheng-10575	365	27	-	-	SYM
fumecheng-10575	365	28	167	167	NUM
fumecheng-10575	365	29	,	,	PUNCT
fumecheng-10575	365	30	pp	pp	ADJ
fumecheng-10575	365	31	.	.	PUNCT
fumecheng-10575	365	32	320	320	NUM
fumecheng-10575	365	33	-	-	SYM
fumecheng-10575	365	34	329	329	NUM
fumecheng-10575	365	35	.	.	NOUN
fumecheng-10575	366	1	20	20	NUM
fumecheng-10575	366	2	.	.	PUNCT
fumecheng-10575	366	3	deng	deng	PROPN
fumecheng-10575	366	4	,	,	PUNCT
fumecheng-10575	366	5	c.	c.	PROPN
fumecheng-10575	366	6	,	,	PUNCT
fumecheng-10575	366	7	lv	lv	PROPN
fumecheng-10575	366	8	,	,	PUNCT
fumecheng-10575	366	9	k.	k.	PROPN
fumecheng-10575	366	10	,	,	PUNCT
fumecheng-10575	366	11	shi	shi	PROPN
fumecheng-10575	366	12	,	,	PUNCT
fumecheng-10575	366	13	d.	d.	PROPN
fumecheng-10575	366	14	,	,	PUNCT
fumecheng-10575	366	15	yang	yang	PROPN
fumecheng-10575	366	16	,	,	PUNCT
fumecheng-10575	366	17	b.	b.	PROPN
fumecheng-10575	366	18	,	,	PUNCT
fumecheng-10575	366	19	yu	yu	PROPN
fumecheng-10575	366	20	,	,	PUNCT
fumecheng-10575	366	21	s.	s.	PROPN
fumecheng-10575	366	22	,	,	PUNCT
fumecheng-10575	366	23	he	he	PRON
fumecheng-10575	366	24	,	,	PUNCT
fumecheng-10575	366	25	z.	z.	PROPN
fumecheng-10575	366	26	,	,	PUNCT
fumecheng-10575	366	27	yan	yan	PROPN
fumecheng-10575	366	28	,	,	PUNCT
fumecheng-10575	366	29	j.	j.	PROPN
fumecheng-10575	366	30	,	,	PUNCT
fumecheng-10575	366	31	2018	2018	NUM
fumecheng-10575	366	32	,	,	PUNCT
fumecheng-10575	366	33	enhancing	enhance	VERB
fumecheng-10575	366	34	the	the	DET
fumecheng-10575	366	35	discrimination	discrimination	NOUN
fumecheng-10575	366	36	ability	ability	NOUN
fumecheng-10575	366	37	of	of	ADP
fumecheng-10575	366	38	a	a	DET
fumecheng-10575	366	39	gas	gas	NOUN
fumecheng-10575	366	40	sensor	sensor	NOUN
fumecheng-10575	366	41	array	array	NOUN
fumecheng-10575	366	42	based	base	VERB
fumecheng-10575	366	43	on	on	ADP
fumecheng-10575	366	44	a	a	DET
fumecheng-10575	366	45	novel	novel	ADJ
fumecheng-10575	366	46	feature	feature	NOUN
fumecheng-10575	366	47	selection	selection	NOUN
fumecheng-10575	366	48	and	and	CCONJ
fumecheng-10575	366	49	fusion	fusion	NOUN
fumecheng-10575	366	50	framework	framework	NOUN
fumecheng-10575	366	51	,	,	PUNCT
fumecheng-10575	366	52	sensors	sensor	NOUN
fumecheng-10575	366	53	(	(	PUNCT
fumecheng-10575	366	54	switzerland	switzerland	PROPN
fumecheng-10575	366	55	)	)	PUNCT
fumecheng-10575	366	56	,	,	PUNCT
fumecheng-10575	366	57	18	18	NUM
fumecheng-10575	366	58	,	,	PUNCT
fumecheng-10575	366	59	1909	1909	NUM
fumecheng-10575	366	60	.	.	PUNCT
fumecheng-10575	367	1	21	21	NUM
fumecheng-10575	367	2	.	.	PUNCT
fumecheng-10575	368	1	hira	hira	PROPN
fumecheng-10575	368	2	,	,	PUNCT
fumecheng-10575	368	3	z.m	z.m	PROPN
fumecheng-10575	368	4	.	.	PROPN
fumecheng-10575	368	5	,	,	PUNCT
fumecheng-10575	368	6	gillies	gillie	NOUN
fumecheng-10575	368	7	,	,	PUNCT
fumecheng-10575	368	8	d.f	d.f	PROPN
fumecheng-10575	368	9	.	.	PROPN
fumecheng-10575	368	10	,	,	PUNCT
fumecheng-10575	368	11	2015	2015	NUM
fumecheng-10575	368	12	,	,	PUNCT
fumecheng-10575	368	13	a	a	DET
fumecheng-10575	368	14	review	review	NOUN
fumecheng-10575	368	15	of	of	ADP
fumecheng-10575	368	16	feature	feature	NOUN
fumecheng-10575	368	17	selection	selection	NOUN
fumecheng-10575	368	18	and	and	CCONJ
fumecheng-10575	368	19	feature	feature	NOUN
fumecheng-10575	368	20	extraction	extraction	NOUN
fumecheng-10575	368	21	methods	method	NOUN
fumecheng-10575	368	22	applied	apply	VERB
fumecheng-10575	368	23	on	on	ADP
fumecheng-10575	368	24	microarray	microarray	NOUN
fumecheng-10575	368	25	data	datum	NOUN
fumecheng-10575	368	26	,	,	PUNCT
fumecheng-10575	368	27	advances	advance	NOUN
fumecheng-10575	368	28	in	in	ADP
fumecheng-10575	368	29	bioinformatics	bioinformatics	NOUN
fumecheng-10575	368	30	,	,	PUNCT
fumecheng-10575	368	31	2015	2015	NUM
fumecheng-10575	368	32	,	,	PUNCT
fumecheng-10575	368	33	198363	198363	NUM
fumecheng-10575	368	34	.	.	PUNCT
fumecheng-10575	369	1	22	22	NUM
fumecheng-10575	369	2	.	.	PUNCT
fumecheng-10575	370	1	geng	geng	PROPN
fumecheng-10575	370	2	,	,	PUNCT
fumecheng-10575	370	3	a.	a.	PROPN
fumecheng-10575	370	4	,	,	PUNCT
fumecheng-10575	370	5	moghiseh	moghiseh	PROPN
fumecheng-10575	370	6	,	,	PUNCT
fumecheng-10575	370	7	a.	a.	NOUN
fumecheng-10575	370	8	,	,	PUNCT
fumecheng-10575	370	9	redenbach	redenbach	NOUN
fumecheng-10575	370	10	,	,	PUNCT
fumecheng-10575	370	11	c.	c.	PROPN
fumecheng-10575	370	12	,	,	PUNCT
fumecheng-10575	370	13	schladitz	schladitz	PROPN
fumecheng-10575	370	14	,	,	PUNCT
fumecheng-10575	370	15	k.	k.	PROPN
fumecheng-10575	370	16	,	,	PUNCT
fumecheng-10575	370	17	2021	2021	NUM
fumecheng-10575	370	18	,	,	PUNCT
fumecheng-10575	370	19	comparing	compare	VERB
fumecheng-10575	370	20	optimization	optimization	NOUN
fumecheng-10575	370	21	methods	method	NOUN
fumecheng-10575	370	22	for	for	ADP
fumecheng-10575	370	23	deep	deep	ADJ
fumecheng-10575	370	24	learning	learning	NOUN
fumecheng-10575	370	25	in	in	ADP
fumecheng-10575	370	26	image	image	NOUN
fumecheng-10575	370	27	processing	processing	NOUN
fumecheng-10575	370	28	applications	application	NOUN
fumecheng-10575	370	29	,	,	PUNCT
fumecheng-10575	370	30	tm	tm	PROPN
fumecheng-10575	370	31	technisches	technische	VERB
fumecheng-10575	370	32	messen	messen	PROPN
fumecheng-10575	370	33	,	,	PUNCT
fumecheng-10575	370	34	88	88	NUM
fumecheng-10575	370	35	,	,	PUNCT
fumecheng-10575	370	36	pp	pp	ADJ
fumecheng-10575	370	37	.	.	PUNCT
fumecheng-10575	371	1	443	443	NUM
fumecheng-10575	371	2	-	-	SYM
fumecheng-10575	371	3	453	453	NUM
fumecheng-10575	371	4	.	.	NOUN
fumecheng-10575	372	1	23	23	NUM
fumecheng-10575	372	2	.	.	PUNCT
fumecheng-10575	373	1	hoffmann	hoffmann	PROPN
fumecheng-10575	373	2	,	,	PUNCT
fumecheng-10575	373	3	l.	l.	PROPN
fumecheng-10575	373	4	,	,	PUNCT
fumecheng-10575	373	5	fortmeier	fortmeier	NOUN
fumecheng-10575	373	6	,	,	PUNCT
fumecheng-10575	373	7	i.	i.	NOUN
fumecheng-10575	373	8	,	,	PUNCT
fumecheng-10575	373	9	elster	elster	PROPN
fumecheng-10575	373	10	,	,	PUNCT
fumecheng-10575	373	11	c.	c.	PROPN
fumecheng-10575	373	12	,	,	PUNCT
fumecheng-10575	373	13	2021	2021	NUM
fumecheng-10575	373	14	,	,	PUNCT
fumecheng-10575	373	15	deep	deep	ADJ
fumecheng-10575	373	16	learning	learning	NOUN
fumecheng-10575	373	17	for	for	ADP
fumecheng-10575	373	18	tilted	tilt	VERB
fumecheng-10575	373	19	-	-	PUNCT
fumecheng-10575	373	20	wave	wave	NOUN
fumecheng-10575	373	21	interferometry	interferometry	NOUN
fumecheng-10575	373	22	,	,	PUNCT
fumecheng-10575	373	23	tm	tm	PROPN
fumecheng-10575	373	24	technisches	technische	VERB
fumecheng-10575	373	25	messen	messen	PROPN
fumecheng-10575	373	26	,	,	PUNCT
fumecheng-10575	373	27	89	89	NUM
fumecheng-10575	373	28	,	,	PUNCT
fumecheng-10575	373	29	pp	pp	ADJ
fumecheng-10575	373	30	.	.	PUNCT
fumecheng-10575	374	1	33	33	NUM
fumecheng-10575	374	2	-	-	SYM
fumecheng-10575	374	3	42	42	NUM
fumecheng-10575	374	4	.	.	PUNCT
fumecheng-10575	375	1	24	24	NUM
fumecheng-10575	375	2	.	.	PUNCT
fumecheng-10575	376	1	adhikari	adhikari	PROPN
fumecheng-10575	376	2	,	,	PUNCT
fumecheng-10575	376	3	s.	s.	PROPN
fumecheng-10575	376	4	,	,	PUNCT
fumecheng-10575	376	5	saha	saha	PROPN
fumecheng-10575	376	6	,	,	PUNCT
fumecheng-10575	376	7	s.	s.	PROPN
fumecheng-10575	376	8	,	,	PUNCT
fumecheng-10575	376	9	2014	2014	NUM
fumecheng-10575	376	10	,	,	PUNCT
fumecheng-10575	376	11	multiple	multiple	ADJ
fumecheng-10575	376	12	classifier	classifier	NOUN
fumecheng-10575	376	13	combination	combination	NOUN
fumecheng-10575	376	14	technique	technique	NOUN
fumecheng-10575	376	15	for	for	ADP
fumecheng-10575	376	16	sensor	sensor	NOUN
fumecheng-10575	376	17	drift	drift	NOUN
fumecheng-10575	376	18	compensation	compensation	NOUN
fumecheng-10575	376	19	using	use	VERB
fumecheng-10575	376	20	ann	ann	PROPN
fumecheng-10575	376	21	&	&	CCONJ
fumecheng-10575	376	22	knn	knn	PROPN
fumecheng-10575	376	23	,	,	PUNCT
fumecheng-10575	376	24	2014	2014	NUM
fumecheng-10575	376	25	ieee	ieee	NOUN
fumecheng-10575	376	26	international	international	ADJ
fumecheng-10575	376	27	advance	advance	NOUN
fumecheng-10575	376	28	computing	compute	VERB
fumecheng-10575	376	29	conference	conference	NOUN
fumecheng-10575	376	30	(	(	PUNCT
fumecheng-10575	376	31	iacc	iacc	PROPN
fumecheng-10575	376	32	)	)	PUNCT
fumecheng-10575	376	33	,	,	PUNCT
fumecheng-10575	376	34	pp	pp	ADP
fumecheng-10575	376	35	.	.	PUNCT
fumecheng-10575	377	1	1184	1184	NUM
fumecheng-10575	377	2	-	-	SYM
fumecheng-10575	377	3	1189	1189	NUM
fumecheng-10575	377	4	.	.	PUNCT
fumecheng-10575	378	1	25	25	NUM
fumecheng-10575	378	2	.	.	PUNCT
fumecheng-10575	379	1	rehman	rehman	PROPN
fumecheng-10575	379	2	,	,	PUNCT
fumecheng-10575	379	3	a.u	a.u	PROPN
fumecheng-10575	379	4	.	.	PROPN
fumecheng-10575	379	5	,	,	PUNCT
fumecheng-10575	379	6	bermak	bermak	PROPN
fumecheng-10575	379	7	,	,	PUNCT
fumecheng-10575	379	8	a.	a.	NOUN
fumecheng-10575	379	9	,	,	PUNCT
fumecheng-10575	379	10	2019	2019	NUM
fumecheng-10575	379	11	,	,	PUNCT
fumecheng-10575	379	12	heuristic	heuristic	ADJ
fumecheng-10575	379	13	random	random	ADJ
fumecheng-10575	379	14	forests	forest	NOUN
fumecheng-10575	379	15	(	(	PUNCT
fumecheng-10575	379	16	hrf	hrf	PROPN
fumecheng-10575	379	17	)	)	PUNCT
fumecheng-10575	379	18	for	for	ADP
fumecheng-10575	379	19	drift	drift	NOUN
fumecheng-10575	379	20	compensation	compensation	NOUN
fumecheng-10575	379	21	in	in	ADP
fumecheng-10575	379	22	electronic	electronic	ADJ
fumecheng-10575	379	23	nose	nose	NOUN
fumecheng-10575	379	24	applications	application	NOUN
fumecheng-10575	379	25	,	,	PUNCT
fumecheng-10575	379	26	ieee	ieee	NOUN
fumecheng-10575	379	27	sensors	sensor	NOUN
fumecheng-10575	379	28	journal	journal	PROPN
fumecheng-10575	379	29	,	,	PUNCT
fumecheng-10575	379	30	19	19	NUM
fumecheng-10575	379	31	,	,	PUNCT
fumecheng-10575	379	32	pp	pp	ADJ
fumecheng-10575	379	33	.	.	PUNCT
fumecheng-10575	379	34	1443–1453	1443–1453	NUM
fumecheng-10575	379	35	.	.	PUNCT
fumecheng-10575	380	1	26	26	NUM
fumecheng-10575	380	2	.	.	PUNCT
fumecheng-10575	381	1	ma	ma	PROPN
fumecheng-10575	381	2	,	,	PUNCT
fumecheng-10575	381	3	d.	d.	PROPN
fumecheng-10575	381	4	,	,	PUNCT
fumecheng-10575	381	5	gao	gao	PROPN
fumecheng-10575	381	6	,	,	PUNCT
fumecheng-10575	381	7	j.	j.	PROPN
fumecheng-10575	381	8	,	,	PUNCT
fumecheng-10575	381	9	zhang	zhang	PROPN
fumecheng-10575	381	10	,	,	PUNCT
fumecheng-10575	381	11	z.	z.	PROPN
fumecheng-10575	381	12	,	,	PUNCT
fumecheng-10575	381	13	zhao	zhao	PROPN
fumecheng-10575	381	14	,	,	PUNCT
fumecheng-10575	381	15	h.	h.	PROPN
fumecheng-10575	381	16	,	,	PUNCT
fumecheng-10575	381	17	2021	2021	NUM
fumecheng-10575	381	18	,	,	PUNCT
fumecheng-10575	381	19	gas	gas	NOUN
fumecheng-10575	381	20	recognition	recognition	NOUN
fumecheng-10575	381	21	method	method	NOUN
fumecheng-10575	381	22	based	base	VERB
fumecheng-10575	381	23	on	on	ADP
fumecheng-10575	381	24	the	the	DET
fumecheng-10575	381	25	deep	deep	ADJ
fumecheng-10575	381	26	learning	learning	NOUN
fumecheng-10575	381	27	model	model	NOUN
fumecheng-10575	381	28	of	of	ADP
fumecheng-10575	381	29	sensor	sensor	NOUN
fumecheng-10575	381	30	array	array	VERB
fumecheng-10575	381	31	response	response	NOUN
fumecheng-10575	381	32	map	map	NOUN
fumecheng-10575	381	33	,	,	PUNCT
fumecheng-10575	381	34	sensors	sensor	NOUN
fumecheng-10575	381	35	and	and	CCONJ
fumecheng-10575	381	36	actuators	actuator	NOUN
fumecheng-10575	381	37	b	b	X
fumecheng-10575	381	38	:	:	PUNCT
fumecheng-10575	381	39	chemical	chemical	NOUN
fumecheng-10575	381	40	,	,	PUNCT
fumecheng-10575	381	41	330	330	NUM
fumecheng-10575	381	42	,	,	PUNCT
fumecheng-10575	381	43	129349	129349	NUM
fumecheng-10575	381	44	.	.	PUNCT
fumecheng-10575	382	1	27	27	NUM
fumecheng-10575	382	2	.	.	PUNCT
fumecheng-10575	383	1	fu	fu	PROPN
fumecheng-10575	383	2	,	,	PUNCT
fumecheng-10575	383	3	x.	x.	PROPN
fumecheng-10575	383	4	,	,	PUNCT
fumecheng-10575	383	5	wang	wang	PROPN
fumecheng-10575	383	6	,	,	PUNCT
fumecheng-10575	383	7	l.	l.	PROPN
fumecheng-10575	383	8	,	,	PUNCT
fumecheng-10575	383	9	2003	2003	NUM
fumecheng-10575	383	10	,	,	PUNCT
fumecheng-10575	383	11	data	datum	NOUN
fumecheng-10575	383	12	dimensionality	dimensionality	NOUN
fumecheng-10575	383	13	reduction	reduction	NOUN
fumecheng-10575	383	14	with	with	ADP
fumecheng-10575	383	15	application	application	NOUN
fumecheng-10575	383	16	to	to	ADP
fumecheng-10575	383	17	simplifying	simplify	VERB
fumecheng-10575	383	18	rbf	rbf	PROPN
fumecheng-10575	383	19	network	network	NOUN
fumecheng-10575	383	20	structure	structure	NOUN
fumecheng-10575	383	21	and	and	CCONJ
fumecheng-10575	383	22	improving	improve	VERB
fumecheng-10575	383	23	classification	classification	NOUN
fumecheng-10575	383	24	performance	performance	NOUN
fumecheng-10575	383	25	,	,	PUNCT
fumecheng-10575	383	26	ieee	ieee	NOUN
fumecheng-10575	383	27	transactions	transaction	NOUN
fumecheng-10575	383	28	on	on	ADP
fumecheng-10575	383	29	systems	system	NOUN
fumecheng-10575	383	30	,	,	PUNCT
fumecheng-10575	383	31	man	man	NOUN
fumecheng-10575	383	32	,	,	PUNCT
fumecheng-10575	383	33	and	and	CCONJ
fumecheng-10575	383	34	cybernetics	cybernetic	NOUN
fumecheng-10575	383	35	part	part	NOUN
fumecheng-10575	383	36	b	b	NOUN
fumecheng-10575	383	37	:	:	PUNCT
fumecheng-10575	383	38	cybernetics	cybernetic	NOUN
fumecheng-10575	383	39	,	,	PUNCT
fumecheng-10575	383	40	33	33	NUM
fumecheng-10575	383	41	,	,	PUNCT
fumecheng-10575	383	42	pp	pp	ADJ
fumecheng-10575	383	43	.	.	PUNCT
fumecheng-10575	384	1	399–409	399–409	NUM
fumecheng-10575	384	2	.	.	NOUN
fumecheng-10575	385	1	28	28	NUM
fumecheng-10575	385	2	.	.	PUNCT
fumecheng-10575	386	1	xue	xue	PROPN
fumecheng-10575	386	2	,	,	PUNCT
fumecheng-10575	386	3	x.	x.	PROPN
fumecheng-10575	386	4	,	,	PUNCT
fumecheng-10575	386	5	zhang	zhang	PROPN
fumecheng-10575	386	6	,	,	PUNCT
fumecheng-10575	386	7	m.	m.	NOUN
fumecheng-10575	386	8	,	,	PUNCT
fumecheng-10575	386	9	browne	browne	PROPN
fumecheng-10575	386	10	,	,	PUNCT
fumecheng-10575	386	11	w.n	w.n	PROPN
fumecheng-10575	386	12	.	.	PROPN
fumecheng-10575	386	13	,	,	PUNCT
fumecheng-10575	386	14	yao	yao	PROPN
fumecheng-10575	386	15	,	,	PUNCT
fumecheng-10575	386	16	x.	x.	NOUN
fumecheng-10575	386	17	,	,	PUNCT
fumecheng-10575	386	18	2016	2016	NUM
fumecheng-10575	386	19	,	,	PUNCT
fumecheng-10575	386	20	a	a	DET
fumecheng-10575	386	21	survey	survey	NOUN
fumecheng-10575	386	22	on	on	ADP
fumecheng-10575	386	23	evolutionary	evolutionary	ADJ
fumecheng-10575	386	24	computation	computation	NOUN
fumecheng-10575	386	25	approaches	approach	NOUN
fumecheng-10575	386	26	to	to	ADP
fumecheng-10575	386	27	feature	feature	NOUN
fumecheng-10575	386	28	selection	selection	NOUN
fumecheng-10575	386	29	,	,	PUNCT
fumecheng-10575	386	30	ieee	ieee	NOUN
fumecheng-10575	386	31	transactions	transaction	NOUN
fumecheng-10575	386	32	on	on	ADP
fumecheng-10575	386	33	evolutionary	evolutionary	ADJ
fumecheng-10575	386	34	computation	computation	NOUN
fumecheng-10575	386	35	,	,	PUNCT
fumecheng-10575	386	36	20	20	NUM
fumecheng-10575	386	37	,	,	PUNCT
fumecheng-10575	386	38	pp	pp	ADJ
fumecheng-10575	386	39	.	.	PUNCT
fumecheng-10575	387	1	606–626	606–626	NUM
fumecheng-10575	387	2	.	.	PUNCT
fumecheng-10575	388	1	29	29	NUM
fumecheng-10575	388	2	.	.	PUNCT
fumecheng-10575	388	3	sánchez	sánchez	NOUN
fumecheng-10575	388	4	-	-	PUNCT
fumecheng-10575	388	5	maroño	maroño	PROPN
fumecheng-10575	388	6	,	,	PUNCT
fumecheng-10575	388	7	n.	n.	NOUN
fumecheng-10575	388	8	,	,	PUNCT
fumecheng-10575	388	9	alonso	alonso	NOUN
fumecheng-10575	388	10	-	-	PUNCT
fumecheng-10575	388	11	betanzos	betanzo	NOUN
fumecheng-10575	388	12	,	,	PUNCT
fumecheng-10575	388	13	a.	a.	NOUN
fumecheng-10575	388	14	,	,	PUNCT
fumecheng-10575	388	15	tombilla	tombilla	NOUN
fumecheng-10575	388	16	-	-	PUNCT
fumecheng-10575	388	17	sanrománm	sanrománm	NOUN
fumecheng-10575	388	18	m.	m.	NOUN
fumecheng-10575	388	19	,	,	PUNCT
fumecheng-10575	388	20	2007	2007	NUM
fumecheng-10575	388	21	,	,	PUNCT
fumecheng-10575	388	22	filter	filter	NOUN
fumecheng-10575	388	23	methods	method	NOUN
fumecheng-10575	388	24	for	for	ADP
fumecheng-10575	388	25	feature	feature	NOUN
fumecheng-10575	388	26	selection	selection	NOUN
fumecheng-10575	388	27	a	a	DET
fumecheng-10575	388	28	comparative	comparative	ADJ
fumecheng-10575	388	29	study	study	NOUN
fumecheng-10575	388	30	,	,	PUNCT
fumecheng-10575	388	31	lecture	lecture	NOUN
fumecheng-10575	388	32	notes	note	NOUN
fumecheng-10575	388	33	in	in	ADP
fumecheng-10575	388	34	computer	computer	NOUN
fumecheng-10575	388	35	science	science	NOUN
fumecheng-10575	388	36	(	(	PUNCT
fumecheng-10575	388	37	including	include	VERB
fumecheng-10575	388	38	subseries	subserie	NOUN
fumecheng-10575	388	39	lecture	lecture	VERB
fumecheng-10575	388	40	notes	note	NOUN
fumecheng-10575	388	41	in	in	ADP
fumecheng-10575	388	42	artificial	artificial	ADJ
fumecheng-10575	388	43	intelligence	intelligence	NOUN
fumecheng-10575	388	44	and	and	CCONJ
fumecheng-10575	388	45	lecture	lecture	NOUN
fumecheng-10575	388	46	notes	note	NOUN
fumecheng-10575	388	47	in	in	ADP
fumecheng-10575	388	48	bioinformatics	bioinformatics	NOUN
fumecheng-10575	388	49	)	)	PUNCT
fumecheng-10575	388	50	,	,	PUNCT
fumecheng-10575	388	51	4881	4881	NUM
fumecheng-10575	388	52	,	,	PUNCT
fumecheng-10575	388	53	pp	pp	ADJ
fumecheng-10575	388	54	.	.	PUNCT
fumecheng-10575	389	1	178–187	178–187	NUM
fumecheng-10575	389	2	.	.	NOUN
fumecheng-10575	389	3	30	30	NUM
fumecheng-10575	389	4	.	.	PUNCT
fumecheng-10575	390	1	borowik	borowik	PROPN
fumecheng-10575	390	2	,	,	PUNCT
fumecheng-10575	390	3	p.	p.	NOUN
fumecheng-10575	390	4	,	,	PUNCT
fumecheng-10575	390	5	adamowicz	adamowicz	PROPN
fumecheng-10575	390	6	,	,	PUNCT
fumecheng-10575	390	7	l.	l.	PROPN
fumecheng-10575	390	8	,	,	PUNCT
fumecheng-10575	390	9	tarakowski	tarakowski	PROPN
fumecheng-10575	390	10	,	,	PUNCT
fumecheng-10575	390	11	r.	r.	PROPN
fumecheng-10575	390	12	,	,	PUNCT
fumecheng-10575	390	13	siwek	siwek	NOUN
fumecheng-10575	390	14	,	,	PUNCT
fumecheng-10575	390	15	k.	k.	PROPN
fumecheng-10575	390	16	,	,	PUNCT
fumecheng-10575	390	17	grzywacz	grzywacz	NOUN
fumecheng-10575	390	18	,	,	PUNCT
fumecheng-10575	390	19	t.	t.	PROPN
fumecheng-10575	390	20	,	,	PUNCT
fumecheng-10575	390	21	2020	2020	NUM
fumecheng-10575	390	22	,	,	PUNCT
fumecheng-10575	390	23	odor	odor	NOUN
fumecheng-10575	390	24	detection	detection	NOUN
fumecheng-10575	390	25	using	use	VERB
fumecheng-10575	390	26	an	an	DET
fumecheng-10575	390	27	enose	enose	NOUN
fumecheng-10575	390	28	with	with	ADP
fumecheng-10575	390	29	a	a	DET
fumecheng-10575	390	30	reduced	reduce	VERB
fumecheng-10575	390	31	sensor	sensor	NOUN
fumecheng-10575	390	32	array	array	NOUN
fumecheng-10575	390	33	,	,	PUNCT
fumecheng-10575	390	34	sensors	sensor	NOUN
fumecheng-10575	390	35	(	(	PUNCT
fumecheng-10575	390	36	switzerland	switzerland	PROPN
fumecheng-10575	390	37	)	)	PUNCT
fumecheng-10575	390	38	,	,	PUNCT
fumecheng-10575	390	39	20	20	NUM
fumecheng-10575	390	40	,	,	PUNCT
fumecheng-10575	390	41	3542	3542	NUM
fumecheng-10575	390	42	.	.	PUNCT
fumecheng-10575	391	1	31	31	NUM
fumecheng-10575	391	2	.	.	PUNCT
fumecheng-10575	392	1	vito	vito	PROPN
fumecheng-10575	392	2	,	,	PUNCT
fumecheng-10575	392	3	s.d	s.d	PROPN
fumecheng-10575	392	4	.	.	PROPN
fumecheng-10575	392	5	,	,	PUNCT
fumecheng-10575	392	6	massera	massera	NOUN
fumecheng-10575	392	7	,	,	PUNCT
fumecheng-10575	392	8	e.	e.	PROPN
fumecheng-10575	392	9	,	,	PUNCT
fumecheng-10575	392	10	piga	piga	PROPN
fumecheng-10575	392	11	,	,	PUNCT
fumecheng-10575	392	12	m.	m.	NOUN
fumecheng-10575	392	13	,	,	PUNCT
fumecheng-10575	392	14	martinotto	martinotto	PROPN
fumecheng-10575	392	15	,	,	PUNCT
fumecheng-10575	392	16	l.	l.	PROPN
fumecheng-10575	392	17	,	,	PUNCT
fumecheng-10575	392	18	francia	francia	PROPN
fumecheng-10575	392	19	,	,	PUNCT
fumecheng-10575	392	20	g.d	g.d	NOUN
fumecheng-10575	392	21	.	.	PROPN
fumecheng-10575	392	22	,	,	PUNCT
fumecheng-10575	392	23	2008	2008	NUM
fumecheng-10575	392	24	,	,	PUNCT
fumecheng-10575	392	25	on	on	ADP
fumecheng-10575	392	26	field	field	NOUN
fumecheng-10575	392	27	calibration	calibration	NOUN
fumecheng-10575	392	28	of	of	ADP
fumecheng-10575	392	29	an	an	DET
fumecheng-10575	392	30	electronic	electronic	ADJ
fumecheng-10575	392	31	nose	nose	NOUN
fumecheng-10575	392	32	for	for	ADP
fumecheng-10575	392	33	benzene	benzene	NOUN
fumecheng-10575	392	34	estimation	estimation	NOUN
fumecheng-10575	392	35	in	in	ADP
fumecheng-10575	392	36	an	an	DET
fumecheng-10575	392	37	urban	urban	ADJ
fumecheng-10575	392	38	pollution	pollution	NOUN
fumecheng-10575	392	39	monitoring	monitoring	NOUN
fumecheng-10575	392	40	scenario	scenario	NOUN
fumecheng-10575	392	41	,	,	PUNCT
fumecheng-10575	392	42	sensors	sensor	NOUN
fumecheng-10575	392	43	and	and	CCONJ
fumecheng-10575	392	44	actuators	actuator	NOUN
fumecheng-10575	392	45	b	b	X
fumecheng-10575	392	46	:	:	PUNCT
fumecheng-10575	392	47	chemical	chemical	NOUN
fumecheng-10575	392	48	,	,	PUNCT
fumecheng-10575	392	49	129	129	NUM
fumecheng-10575	392	50	,	,	PUNCT
fumecheng-10575	392	51	pp	pp	ADJ
fumecheng-10575	392	52	.	.	PUNCT
fumecheng-10575	393	1	750	750	NUM
fumecheng-10575	393	2	-	-	SYM
fumecheng-10575	393	3	757	757	NOUN
fumecheng-10575	393	4	.	.	PUNCT
fumecheng-10575	394	1	32	32	NUM
fumecheng-10575	394	2	.	.	X
fumecheng-10575	395	1	pashami	pashami	NOUN
fumecheng-10575	395	2	,	,	PUNCT
fumecheng-10575	395	3	s.	s.	PROPN
fumecheng-10575	395	4	,	,	PUNCT
fumecheng-10575	395	5	lilienthal	lilienthal	PROPN
fumecheng-10575	395	6	,	,	PUNCT
fumecheng-10575	395	7	a.j	a.j	PROPN
fumecheng-10575	395	8	.	.	PROPN
fumecheng-10575	395	9	,	,	PUNCT
fumecheng-10575	395	10	schaffernicht	schaffernicht	PROPN
fumecheng-10575	395	11	,	,	PUNCT
fumecheng-10575	395	12	e.	e.	PROPN
fumecheng-10575	395	13	,	,	PUNCT
fumecheng-10575	395	14	trincavelli	trincavelli	PROPN
fumecheng-10575	395	15	,	,	PUNCT
fumecheng-10575	395	16	m.	m.	NOUN
fumecheng-10575	395	17	,	,	PUNCT
fumecheng-10575	395	18	2013	2013	NUM
fumecheng-10575	395	19	,	,	PUNCT
fumecheng-10575	395	20	trefex	trefex	NOUN
fumecheng-10575	395	21	:	:	PUNCT
fumecheng-10575	395	22	trend	trend	NOUN
fumecheng-10575	395	23	estimation	estimation	NOUN
fumecheng-10575	395	24	and	and	CCONJ
fumecheng-10575	395	25	change	change	NOUN
fumecheng-10575	395	26	detection	detection	NOUN
fumecheng-10575	395	27	in	in	ADP
fumecheng-10575	395	28	the	the	DET
fumecheng-10575	395	29	response	response	NOUN
fumecheng-10575	395	30	of	of	ADP
fumecheng-10575	395	31	mox	mox	NOUN
fumecheng-10575	395	32	gas	gas	NOUN
fumecheng-10575	395	33	sensors	sensor	NOUN
fumecheng-10575	395	34	,	,	PUNCT
fumecheng-10575	395	35	sensors	sensor	NOUN
fumecheng-10575	395	36	(	(	PUNCT
fumecheng-10575	395	37	switzerland	switzerland	PROPN
fumecheng-10575	395	38	)	)	PUNCT
fumecheng-10575	395	39	,	,	PUNCT
fumecheng-10575	395	40	13	13	NUM
fumecheng-10575	395	41	,	,	PUNCT
fumecheng-10575	395	42	pp	pp	ADJ
fumecheng-10575	395	43	.	.	PUNCT
fumecheng-10575	396	1	7323	7323	NUM
fumecheng-10575	396	2	-	-	SYM
fumecheng-10575	396	3	7344	7344	NUM
fumecheng-10575	396	4	.	.	PUNCT
fumecheng-10575	397	1	33	33	NUM
fumecheng-10575	397	2	.	.	X
fumecheng-10575	398	1	zhang	zhang	PROPN
fumecheng-10575	398	2	,	,	PUNCT
fumecheng-10575	398	3	s.	s.	PROPN
fumecheng-10575	398	4	,	,	PUNCT
fumecheng-10575	398	5	xie	xie	PROPN
fumecheng-10575	398	6	,	,	PUNCT
fumecheng-10575	398	7	c.	c.	PROPN
fumecheng-10575	398	8	,	,	PUNCT
fumecheng-10575	398	9	hu	hu	PROPN
fumecheng-10575	398	10	,	,	PUNCT
fumecheng-10575	398	11	m.	m.	NOUN
fumecheng-10575	398	12	,	,	PUNCT
fumecheng-10575	398	13	li	li	PROPN
fumecheng-10575	398	14	,	,	PUNCT
fumecheng-10575	398	15	h.	h.	PROPN
fumecheng-10575	398	16	,	,	PUNCT
fumecheng-10575	398	17	bai	bai	PROPN
fumecheng-10575	398	18	,	,	PUNCT
fumecheng-10575	398	19	z.	z.	PROPN
fumecheng-10575	398	20	,	,	PUNCT
fumecheng-10575	398	21	zeng	zeng	PROPN
fumecheng-10575	398	22	,	,	PUNCT
fumecheng-10575	398	23	d.	d.	PROPN
fumecheng-10575	398	24	,	,	PUNCT
fumecheng-10575	398	25	2008	2008	NUM
fumecheng-10575	398	26	,	,	PUNCT
fumecheng-10575	398	27	an	an	DET
fumecheng-10575	398	28	entire	entire	ADJ
fumecheng-10575	398	29	feature	feature	NOUN
fumecheng-10575	398	30	extraction	extraction	NOUN
fumecheng-10575	398	31	method	method	NOUN
fumecheng-10575	398	32	of	of	ADP
fumecheng-10575	398	33	metal	metal	NOUN
fumecheng-10575	398	34	oxide	oxide	NOUN
fumecheng-10575	398	35	gas	gas	NOUN
fumecheng-10575	398	36	sensors	sensor	NOUN
fumecheng-10575	398	37	,	,	PUNCT
fumecheng-10575	398	38	sensors	sensor	NOUN
fumecheng-10575	398	39	and	and	CCONJ
fumecheng-10575	398	40	actuators	actuator	NOUN
fumecheng-10575	398	41	b	b	X
fumecheng-10575	398	42	:	:	PUNCT
fumecheng-10575	398	43	chemical	chemical	NOUN
fumecheng-10575	398	44	,	,	PUNCT
fumecheng-10575	398	45	132	132	NUM
fumecheng-10575	398	46	,	,	PUNCT
fumecheng-10575	398	47	pp	pp	ADJ
fumecheng-10575	398	48	.	.	PUNCT
fumecheng-10575	398	49	81–89	81–89	NUM
fumecheng-10575	398	50	.	.	PUNCT
fumecheng-10575	399	1	34	34	NUM
fumecheng-10575	399	2	.	.	PUNCT
fumecheng-10575	399	3	fonollosa	fonollosa	PROPN
fumecheng-10575	399	4	,	,	PUNCT
fumecheng-10575	399	5	j.	j.	PROPN
fumecheng-10575	399	6	,	,	PUNCT
fumecheng-10575	399	7	rodríguez	rodríguez	NOUN
fumecheng-10575	399	8	-	-	PUNCT
fumecheng-10575	399	9	luján	luján	PROPN
fumecheng-10575	399	10	,	,	PUNCT
fumecheng-10575	399	11	i.	i.	PROPN
fumecheng-10575	399	12	,	,	PUNCT
fumecheng-10575	399	13	huerta	huerta	PROPN
fumecheng-10575	399	14	,	,	PUNCT
fumecheng-10575	399	15	r.	r.	PROPN
fumecheng-10575	399	16	,	,	PUNCT
fumecheng-10575	399	17	2015	2015	NUM
fumecheng-10575	399	18	,	,	PUNCT
fumecheng-10575	399	19	chemical	chemical	ADJ
fumecheng-10575	399	20	gas	gas	NOUN
fumecheng-10575	399	21	sensor	sensor	NOUN
fumecheng-10575	399	22	array	array	VERB
fumecheng-10575	399	23	dataset	dataset	NOUN
fumecheng-10575	399	24	,	,	PUNCT
fumecheng-10575	399	25	data	datum	NOUN
fumecheng-10575	399	26	in	in	ADP
fumecheng-10575	399	27	brief	brief	ADJ
fumecheng-10575	399	28	,	,	PUNCT
fumecheng-10575	399	29	3	3	NUM
fumecheng-10575	399	30	,	,	PUNCT
fumecheng-10575	399	31	pp	pp	ADJ
fumecheng-10575	399	32	.	.	PUNCT
fumecheng-10575	400	1	85–89	85–89	NUM
fumecheng-10575	400	2	.	.	PUNCT
fumecheng-10575	400	3	35	35	NUM
fumecheng-10575	400	4	.	.	PUNCT
fumecheng-10575	400	5	destro	destro	PROPN
fumecheng-10575	400	6	,	,	PUNCT
fumecheng-10575	400	7	r.	r.	PROPN
fumecheng-10575	400	8	,	,	PUNCT
fumecheng-10575	400	9	matakas	matakas	PROPN
fumecheng-10575	400	10	,	,	PUNCT
fumecheng-10575	400	11	l.	l.	PROPN
fumecheng-10575	400	12	,	,	PUNCT
fumecheng-10575	400	13	komatsu	komatsu	PROPN
fumecheng-10575	400	14	,	,	PUNCT
fumecheng-10575	400	15	w.	w.	PROPN
fumecheng-10575	400	16	,	,	PUNCT
fumecheng-10575	400	17	ama	ama	PROPN
fumecheng-10575	400	18	,	,	PUNCT
fumecheng-10575	400	19	n.r.n	n.r.n	PROPN
fumecheng-10575	400	20	.	.	PROPN
fumecheng-10575	400	21	,	,	PUNCT
fumecheng-10575	400	22	2013	2013	NUM
fumecheng-10575	400	23	,	,	PUNCT
fumecheng-10575	400	24	implementation	implementation	NOUN
fumecheng-10575	400	25	aspects	aspect	NOUN
fumecheng-10575	400	26	of	of	ADP
fumecheng-10575	400	27	adaptive	adaptive	ADJ
fumecheng-10575	400	28	window	window	NOUN
fumecheng-10575	400	29	moving	move	VERB
fumecheng-10575	400	30	average	average	ADJ
fumecheng-10575	400	31	filter	filter	NOUN
fumecheng-10575	400	32	applied	apply	VERB
fumecheng-10575	400	33	to	to	ADP
fumecheng-10575	400	34	plls	pll	NOUN
fumecheng-10575	400	35	comparative	comparative	ADJ
fumecheng-10575	400	36	study	study	NOUN
fumecheng-10575	400	37	,	,	PUNCT
fumecheng-10575	400	38	2013	2013	NUM
fumecheng-10575	400	39	brazilian	brazilian	ADJ
fumecheng-10575	400	40	power	power	NOUN
fumecheng-10575	400	41	electronics	electronic	NOUN
fumecheng-10575	400	42	conference	conference	NOUN
fumecheng-10575	400	43	,	,	PUNCT
fumecheng-10575	400	44	cobep	cobep	NOUN
fumecheng-10575	400	45	2013	2013	NUM
fumecheng-10575	400	46	–	–	PUNCT
fumecheng-10575	400	47	proceedings	proceeding	NOUN
fumecheng-10575	400	48	,	,	PUNCT
fumecheng-10575	400	49	pp	pp	ADP
fumecheng-10575	400	50	.	.	PUNCT
fumecheng-10575	401	1	730–736	730–736	NUM
fumecheng-10575	401	2	.	.	PUNCT
fumecheng-10575	402	1	36	36	NUM
fumecheng-10575	402	2	.	.	X
fumecheng-10575	403	1	zhao	zhao	PROPN
fumecheng-10575	403	2	,	,	PUNCT
fumecheng-10575	403	3	y.	y.	PROPN
fumecheng-10575	403	4	,	,	PUNCT
fumecheng-10575	403	5	he	he	PRON
fumecheng-10575	403	6	,	,	PUNCT
fumecheng-10575	403	7	x.	x.	PROPN
fumecheng-10575	403	8	,	,	PUNCT
fumecheng-10575	403	9	pecht	pecht	PROPN
fumecheng-10575	403	10	,	,	PUNCT
fumecheng-10575	403	11	m.g	m.g	PROPN
fumecheng-10575	403	12	.	.	PROPN
fumecheng-10575	403	13	,	,	PUNCT
fumecheng-10575	403	14	zhang	zhang	PROPN
fumecheng-10575	403	15	,	,	PUNCT
fumecheng-10575	403	16	j.	j.	PROPN
fumecheng-10575	403	17	,	,	PUNCT
fumecheng-10575	403	18	zhou	zhou	PROPN
fumecheng-10575	403	19	,	,	PUNCT
fumecheng-10575	403	20	d.	d.	PROPN
fumecheng-10575	403	21	,	,	PUNCT
fumecheng-10575	403	22	2020	2020	NUM
fumecheng-10575	403	23	,	,	PUNCT
fumecheng-10575	403	24	detection	detection	NOUN
fumecheng-10575	403	25	and	and	CCONJ
fumecheng-10575	403	26	detectability	detectability	NOUN
fumecheng-10575	403	27	of	of	ADP
fumecheng-10575	403	28	intermittent	intermittent	ADJ
fumecheng-10575	403	29	faults	fault	NOUN
fumecheng-10575	403	30	based	base	VERB
fumecheng-10575	403	31	on	on	ADP
fumecheng-10575	403	32	moving	move	VERB
fumecheng-10575	403	33	average	average	ADJ
fumecheng-10575	403	34	t2	t2	NOUN
fumecheng-10575	403	35	control	control	NOUN
fumecheng-10575	403	36	charts	chart	NOUN
fumecheng-10575	403	37	with	with	ADP
fumecheng-10575	403	38	multiple	multiple	ADJ
fumecheng-10575	403	39	window	window	NOUN
fumecheng-10575	403	40	lengths	length	NOUN
fumecheng-10575	403	41	,	,	PUNCT
fumecheng-10575	403	42	journal	journal	NOUN
fumecheng-10575	403	43	of	of	ADP
fumecheng-10575	403	44	process	process	NOUN
fumecheng-10575	403	45	control	control	NOUN
fumecheng-10575	403	46	,	,	PUNCT
fumecheng-10575	403	47	92	92	NUM
fumecheng-10575	403	48	,	,	PUNCT
fumecheng-10575	403	49	pp	pp	ADJ
fumecheng-10575	403	50	.	.	PUNCT
fumecheng-10575	404	1	296–309	296–309	NUM
fumecheng-10575	404	2	.	.	PUNCT
fumecheng-10575	405	1	37	37	NUM
fumecheng-10575	405	2	.	.	PUNCT
fumecheng-10575	405	3	burgués	burgués	PROPN
fumecheng-10575	405	4	,	,	PUNCT
fumecheng-10575	405	5	j.	j.	PROPN
fumecheng-10575	405	6	,	,	PUNCT
fumecheng-10575	405	7	jiménez	jiménez	PROPN
fumecheng-10575	405	8	-	-	PUNCT
fumecheng-10575	405	9	soto	soto	PROPN
fumecheng-10575	405	10	,	,	PUNCT
fumecheng-10575	405	11	j.m	j.m	PROPN
fumecheng-10575	405	12	.	.	PROPN
fumecheng-10575	405	13	,	,	PUNCT
fumecheng-10575	405	14	marco	marco	PROPN
fumecheng-10575	405	15	,	,	PUNCT
fumecheng-10575	405	16	s.	s.	PROPN
fumecheng-10575	405	17	,	,	PUNCT
fumecheng-10575	405	18	2018	2018	NUM
fumecheng-10575	405	19	,	,	PUNCT
fumecheng-10575	405	20	estimation	estimation	NOUN
fumecheng-10575	405	21	of	of	ADP
fumecheng-10575	405	22	the	the	DET
fumecheng-10575	405	23	limit	limit	NOUN
fumecheng-10575	405	24	of	of	ADP
fumecheng-10575	405	25	detection	detection	NOUN
fumecheng-10575	405	26	in	in	ADP
fumecheng-10575	405	27	semiconductor	semiconductor	NOUN
fumecheng-10575	405	28	gas	gas	NOUN
fumecheng-10575	405	29	sensors	sensor	NOUN
fumecheng-10575	405	30	through	through	ADP
fumecheng-10575	405	31	linearized	linearize	VERB
fumecheng-10575	405	32	calibration	calibration	NOUN
fumecheng-10575	405	33	models	model	NOUN
fumecheng-10575	405	34	,	,	PUNCT
fumecheng-10575	405	35	analytica	analytica	PROPN
fumecheng-10575	405	36	chimica	chimica	PROPN
fumecheng-10575	405	37	acta	acta	PROPN
fumecheng-10575	405	38	,	,	PUNCT
fumecheng-10575	405	39	1013	1013	NUM
fumecheng-10575	405	40	,	,	PUNCT
fumecheng-10575	405	41	pp	pp	ADJ
fumecheng-10575	405	42	.	.	PUNCT
fumecheng-10575	406	1	13–25	13–25	NUM
fumecheng-10575	406	2	.	.	PUNCT