id	sid	tid	token	lemma	pos
cet-12812	1	1	cet	cet	PROPN
cet-12812	1	2	-	-	ADJ
cet-12812	1	3	vol95	vol95	PROPN
cet-12812	1	4	doi	doi	NOUN
cet-12812	1	5	:	:	PUNCT
cet-12812	1	6	10.3303	10.3303	NUM
cet-12812	1	7	/	/	SYM
cet-12812	1	8	cet2295013	cet2295013	ADJ
cet-12812	1	9	paper	paper	NOUN
cet-12812	1	10	received	receive	VERB
cet-12812	1	11	:	:	PUNCT
cet-12812	1	12	15	15	NUM
cet-12812	1	13	april	april	PROPN
cet-12812	1	14	2022	2022	NUM
cet-12812	1	15	;	;	PUNCT
cet-12812	1	16	revised	revise	VERB
cet-12812	1	17	:	:	PUNCT
cet-12812	1	18	15	15	NUM
cet-12812	1	19	june	june	PROPN
cet-12812	1	20	2022	2022	NUM
cet-12812	1	21	;	;	PUNCT
cet-12812	1	22	accepted	accept	VERB
cet-12812	1	23	:	:	PUNCT
cet-12812	1	24	27	27	NUM
cet-12812	1	25	may	may	AUX
cet-12812	1	26	2022	2022	NUM
cet-12812	1	27	please	please	INTJ
cet-12812	1	28	cite	cite	VERB
cet-12812	1	29	this	this	DET
cet-12812	1	30	article	article	NOUN
cet-12812	1	31	as	as	ADP
cet-12812	1	32	:	:	PUNCT
cet-12812	1	33	cruz	cruz	PROPN
cet-12812	1	34	c.	c.	PROPN
cet-12812	1	35	,	,	PUNCT
cet-12812	1	36	aleixandre	aleixandre	NOUN
cet-12812	1	37	m.	m.	NOUN
cet-12812	1	38	,	,	PUNCT
cet-12812	1	39	matatagui	matatagui	PROPN
cet-12812	1	40	d.	d.	PROPN
cet-12812	1	41	,	,	PUNCT
cet-12812	1	42	horrillo	horrillo	PROPN
cet-12812	1	43	m.c	m.c	PROPN
cet-12812	1	44	.	.	PROPN
cet-12812	1	45	,	,	PUNCT
cet-12812	1	46	2022	2022	NUM
cet-12812	1	47	,	,	PUNCT
cet-12812	1	48	an	an	DET
cet-12812	1	49	artificial	artificial	ADJ
cet-12812	1	50	olfactory	olfactory	ADJ
cet-12812	1	51	system	system	NOUN
cet-12812	1	52	for	for	ADP
cet-12812	1	53	toxic	toxic	ADJ
cet-12812	1	54	compounds	compound	NOUN
cet-12812	1	55	classification	classification	NOUN
cet-12812	1	56	using	use	VERB
cet-12812	1	57	machine	machine	NOUN
cet-12812	1	58	learning	learning	NOUN
cet-12812	1	59	techniques	technique	NOUN
cet-12812	1	60	,	,	PUNCT
cet-12812	1	61	chemical	chemical	ADJ
cet-12812	1	62	engineering	engineering	NOUN
cet-12812	1	63	transactions	transaction	NOUN
cet-12812	1	64	,	,	PUNCT
cet-12812	1	65	95	95	NUM
cet-12812	1	66	,	,	PUNCT
cet-12812	1	67	73	73	NUM
cet-12812	1	68	-	-	SYM
cet-12812	1	69	78	78	NUM
cet-12812	1	70	doi:10.3303	doi:10.3303	NOUN
cet-12812	1	71	/	/	SYM
cet-12812	1	72	cet2295013	cet2295013	NOUN
cet-12812	1	73	chemical	chemical	PROPN
cet-12812	1	74	engineering	engineering	NOUN
cet-12812	1	75	transactions	transaction	NOUN
cet-12812	1	76	vol	vol	NOUN
cet-12812	1	77	.	.	PROPN
cet-12812	1	78	95	95	NUM
cet-12812	1	79	,	,	PUNCT
cet-12812	1	80	2022	2022	NUM
cet-12812	1	81	a	a	DET
cet-12812	1	82	publication	publication	NOUN
cet-12812	1	83	of	of	ADP
cet-12812	1	84	the	the	DET
cet-12812	1	85	italian	italian	ADJ
cet-12812	1	86	association	association	NOUN
cet-12812	1	87	of	of	ADP
cet-12812	1	88	chemical	chemical	PROPN
cet-12812	1	89	engineering	engineering	NOUN
cet-12812	1	90	online	online	ADV
cet-12812	1	91	at	at	ADP
cet-12812	1	92	www.cetjournal.it	www.cetjournal.it	PROPN
cet-12812	1	93	guest	guest	NOUN
cet-12812	1	94	editors	editor	NOUN
cet-12812	1	95	:	:	PUNCT
cet-12812	1	96	selena	selena	PROPN
cet-12812	1	97	sironi	sironi	PROPN
cet-12812	1	98	,	,	PUNCT
cet-12812	1	99	laura	laura	NOUN
cet-12812	1	100	capelli	capelli	PROPN
cet-12812	1	101	copyright	copyright	NOUN
cet-12812	1	102	©	©	PROPN
cet-12812	1	103	2022	2022	NUM
cet-12812	1	104	,	,	PUNCT
cet-12812	1	105	aidic	aidic	ADJ
cet-12812	1	106	servizi	servizi	PROPN
cet-12812	1	107	s.r.l	s.r.l	PROPN
cet-12812	1	108	.	.	PUNCT
cet-12812	2	1	isbn	isbn	ADJ
cet-12812	2	2	978	978	NUM
cet-12812	2	3	-	-	SYM
cet-12812	2	4	88	88	NUM
cet-12812	2	5	-	-	PUNCT
cet-12812	2	6	95608	95608	NUM
cet-12812	2	7	-	-	PUNCT
cet-12812	2	8	94	94	NUM
cet-12812	2	9	-	-	SYM
cet-12812	2	10	5	5	NUM
cet-12812	2	11	;	;	PUNCT
cet-12812	2	12	issn	issn	PROPN
cet-12812	2	13	2283	2283	NUM
cet-12812	2	14	-	-	SYM
cet-12812	2	15	9216	9216	NUM
cet-12812	2	16	an	an	DET
cet-12812	2	17	artificial	artificial	ADJ
cet-12812	2	18	olfactory	olfactory	ADJ
cet-12812	2	19	system	system	NOUN
cet-12812	2	20	for	for	ADP
cet-12812	2	21	toxic	toxic	ADJ
cet-12812	2	22	compounds	compound	NOUN
cet-12812	2	23	classification	classification	NOUN
cet-12812	2	24	using	use	VERB
cet-12812	2	25	machine	machine	NOUN
cet-12812	2	26	learning	learning	NOUN
cet-12812	2	27	techniques	technique	NOUN
cet-12812	2	28	carlos	carlos	PROPN
cet-12812	2	29	cruza	cruza	PROPN
cet-12812	2	30	,	,	PUNCT
cet-12812	2	31	manuel	manuel	PROPN
cet-12812	2	32	aleixandreb	aleixandreb	PROPN
cet-12812	2	33	,	,	PUNCT
cet-12812	2	34	daniel	daniel	PROPN
cet-12812	2	35	matataguia	matataguia	PROPN
cet-12812	2	36	,	,	PUNCT
cet-12812	2	37	mari	mari	PROPN
cet-12812	2	38	carmen	carman	NOUN
cet-12812	2	39	horrilloa	horrilloa	NOUN
cet-12812	2	40	*	*	PUNCT
cet-12812	2	41	a	a	DET
cet-12812	2	42	sensavan	sensavan	NOUN
cet-12812	2	43	,	,	PUNCT
cet-12812	2	44	instituto	instituto	PROPN
cet-12812	2	45	de	de	PROPN
cet-12812	2	46	tecnologías	tecnologías	PROPN
cet-12812	2	47	físicas	físicas	PROPN
cet-12812	2	48	y	y	PROPN
cet-12812	2	49	de	de	PROPN
cet-12812	2	50	la	la	PROPN
cet-12812	2	51	información	información	PROPN
cet-12812	2	52	(	(	PUNCT
cet-12812	2	53	itefi	itefi	PROPN
cet-12812	2	54	)	)	PUNCT
cet-12812	2	55	,	,	PUNCT
cet-12812	2	56	csic	csic	PROPN
cet-12812	2	57	,	,	PUNCT
cet-12812	2	58	28006	28006	NUM
cet-12812	2	59	madrid	madrid	PROPN
cet-12812	2	60	,	,	PUNCT
cet-12812	2	61	spain	spain	PROPN
cet-12812	2	62	b	b	PROPN
cet-12812	2	63	institute	institute	PROPN
cet-12812	2	64	of	of	ADP
cet-12812	2	65	innovative	innovative	ADJ
cet-12812	2	66	research	research	NOUN
cet-12812	2	67	,	,	PUNCT
cet-12812	2	68	tokyo	tokyo	PROPN
cet-12812	2	69	institute	institute	PROPN
cet-12812	2	70	of	of	ADP
cet-12812	2	71	technology	technology	PROPN
cet-12812	2	72	,	,	PUNCT
cet-12812	2	73	yokohama	yokohama	PROPN
cet-12812	2	74	226	226	NUM
cet-12812	2	75	-	-	SYM
cet-12812	2	76	8503	8503	NUM
cet-12812	2	77	,	,	PUNCT
cet-12812	2	78	japan	japan	PROPN
cet-12812	2	79	carmen.horrillo.guemes@csic.es	carmen.horrillo.guemes@csic.es	PROPN
cet-12812	2	80	the	the	DET
cet-12812	2	81	long	long	ADJ
cet-12812	2	82	-	-	PUNCT
cet-12812	2	83	term	term	NOUN
cet-12812	2	84	exposure	exposure	NOUN
cet-12812	2	85	to	to	ADP
cet-12812	2	86	nitrogen	nitrogen	NOUN
cet-12812	2	87	dioxide	dioxide	NOUN
cet-12812	2	88	produces	produce	VERB
cet-12812	2	89	harmful	harmful	ADJ
cet-12812	2	90	effects	effect	NOUN
cet-12812	2	91	for	for	ADP
cet-12812	2	92	humans	human	NOUN
cet-12812	2	93	and	and	CCONJ
cet-12812	2	94	any	any	DET
cet-12812	2	95	living	live	VERB
cet-12812	2	96	being	being	NOUN
cet-12812	2	97	.	.	PUNCT
cet-12812	3	1	thus	thus	ADV
cet-12812	3	2	,	,	PUNCT
cet-12812	3	3	in	in	ADP
cet-12812	3	4	security	security	NOUN
cet-12812	3	5	applications	application	NOUN
cet-12812	3	6	,	,	PUNCT
cet-12812	3	7	sensor	sensor	NOUN
cet-12812	3	8	arrays	array	NOUN
cet-12812	3	9	are	be	AUX
cet-12812	3	10	required	require	VERB
cet-12812	3	11	for	for	ADP
cet-12812	3	12	detecting	detect	VERB
cet-12812	3	13	nitrogen	nitrogen	NOUN
cet-12812	3	14	dioxide	dioxide	NOUN
cet-12812	3	15	by	by	ADP
cet-12812	3	16	interfering	interfere	VERB
cet-12812	3	17	gas	gas	NOUN
cet-12812	3	18	classification	classification	NOUN
cet-12812	3	19	.	.	PUNCT
cet-12812	4	1	in	in	ADP
cet-12812	4	2	this	this	DET
cet-12812	4	3	work	work	NOUN
cet-12812	4	4	,	,	PUNCT
cet-12812	4	5	a	a	DET
cet-12812	4	6	compact	compact	ADJ
cet-12812	4	7	and	and	CCONJ
cet-12812	4	8	intelligent	intelligent	ADJ
cet-12812	4	9	electronic	electronic	ADJ
cet-12812	4	10	nose	nose	NOUN
cet-12812	4	11	(	(	PUNCT
cet-12812	4	12	e	e	NOUN
cet-12812	4	13	-	-	NOUN
cet-12812	4	14	nose	nose	NOUN
cet-12812	4	15	)	)	PUNCT
cet-12812	4	16	based	base	VERB
cet-12812	4	17	on	on	ADP
cet-12812	4	18	a	a	DET
cet-12812	4	19	shear	shear	ADJ
cet-12812	4	20	-	-	PUNCT
cet-12812	4	21	horizontal	horizontal	ADJ
cet-12812	4	22	surface	surface	NOUN
cet-12812	4	23	acoustic	acoustic	ADJ
cet-12812	4	24	wave	wave	NOUN
cet-12812	4	25	(	(	PUNCT
cet-12812	4	26	sh	sh	NOUN
cet-12812	4	27	-	-	PUNCT
cet-12812	4	28	saw	saw	NOUN
cet-12812	4	29	)	)	PUNCT
cet-12812	4	30	sensor	sensor	NOUN
cet-12812	4	31	array	array	NOUN
cet-12812	4	32	is	be	AUX
cet-12812	4	33	proposed	propose	VERB
cet-12812	4	34	for	for	ADP
cet-12812	4	35	sensing	sense	VERB
cet-12812	4	36	,	,	PUNCT
cet-12812	4	37	classifying	classify	VERB
cet-12812	4	38	,	,	PUNCT
cet-12812	4	39	and	and	CCONJ
cet-12812	4	40	calibrating	calibrate	VERB
cet-12812	4	41	toxic	toxic	ADJ
cet-12812	4	42	chemicals	chemical	NOUN
cet-12812	4	43	.	.	PUNCT
cet-12812	5	1	different	different	ADJ
cet-12812	5	2	carbon	carbon	NOUN
cet-12812	5	3	-	-	PUNCT
cet-12812	5	4	based	base	VERB
cet-12812	5	5	nanostructured	nanostructure	VERB
cet-12812	5	6	materials	material	NOUN
cet-12812	5	7	are	be	AUX
cet-12812	5	8	deposited	deposit	VERB
cet-12812	5	9	as	as	ADP
cet-12812	5	10	sensitive	sensitive	ADJ
cet-12812	5	11	layers	layer	NOUN
cet-12812	5	12	providing	provide	VERB
cet-12812	5	13	excellent	excellent	ADJ
cet-12812	5	14	outcomes	outcome	NOUN
cet-12812	5	15	by	by	ADP
cet-12812	5	16	mass	mass	NOUN
cet-12812	5	17	and	and	CCONJ
cet-12812	5	18	elastic	elastic	ADJ
cet-12812	5	19	changes	change	NOUN
cet-12812	5	20	in	in	ADP
cet-12812	5	21	this	this	DET
cet-12812	5	22	type	type	NOUN
cet-12812	5	23	of	of	ADP
cet-12812	5	24	sensors	sensor	NOUN
cet-12812	5	25	.	.	PUNCT
cet-12812	6	1	the	the	DET
cet-12812	6	2	hs	hs	NOUN
cet-12812	6	3	-	-	PUNCT
cet-12812	6	4	saw	see	VERB
cet-12812	6	5	sensors	sensor	NOUN
cet-12812	6	6	achieve	achieve	VERB
cet-12812	6	7	a	a	DET
cet-12812	6	8	high	high	ADJ
cet-12812	6	9	sensitivity	sensitivity	NOUN
cet-12812	6	10	,	,	PUNCT
cet-12812	6	11	fast	fast	ADJ
cet-12812	6	12	response	response	NOUN
cet-12812	6	13	,	,	PUNCT
cet-12812	6	14	and	and	CCONJ
cet-12812	6	15	reproducibility	reproducibility	NOUN
cet-12812	6	16	to	to	ADP
cet-12812	6	17	different	different	ADJ
cet-12812	6	18	toxic	toxic	ADJ
cet-12812	6	19	gases	gas	NOUN
cet-12812	6	20	such	such	ADJ
cet-12812	6	21	as	as	ADP
cet-12812	6	22	nitrogen	nitrogen	NOUN
cet-12812	6	23	dioxide	dioxide	NOUN
cet-12812	6	24	,	,	PUNCT
cet-12812	6	25	carbon	carbon	NOUN
cet-12812	6	26	monoxide	monoxide	NOUN
cet-12812	6	27	,	,	PUNCT
cet-12812	6	28	ammonia	ammonia	NOUN
cet-12812	6	29	,	,	PUNCT
cet-12812	6	30	benzene	benzene	NOUN
cet-12812	6	31	and	and	CCONJ
cet-12812	6	32	acetone	acetone	NOUN
cet-12812	6	33	.	.	PUNCT
cet-12812	7	1	the	the	DET
cet-12812	7	2	gas	gas	NOUN
cet-12812	7	3	flows	flow	NOUN
cet-12812	7	4	were	be	AUX
cet-12812	7	5	controlled	control	VERB
cet-12812	7	6	by	by	ADP
cet-12812	7	7	an	an	DET
cet-12812	7	8	automated	automate	VERB
cet-12812	7	9	system	system	NOUN
cet-12812	7	10	that	that	PRON
cet-12812	7	11	consists	consist	VERB
cet-12812	7	12	of	of	ADP
cet-12812	7	13	four	four	NUM
cet-12812	7	14	mass	mass	ADJ
cet-12812	7	15	flow	flow	NOUN
cet-12812	7	16	controllers	controller	NOUN
cet-12812	7	17	to	to	PART
cet-12812	7	18	obtain	obtain	VERB
cet-12812	7	19	the	the	DET
cet-12812	7	20	desired	desire	VERB
cet-12812	7	21	concentrations	concentration	NOUN
cet-12812	7	22	.	.	PUNCT
cet-12812	8	1	the	the	DET
cet-12812	8	2	e	e	NOUN
cet-12812	8	3	-	-	NOUN
cet-12812	8	4	nose	nose	NOUN
cet-12812	8	5	provides	provide	VERB
cet-12812	8	6	an	an	DET
cet-12812	8	7	efficient	efficient	ADJ
cet-12812	8	8	performance	performance	NOUN
cet-12812	8	9	with	with	ADP
cet-12812	8	10	supervised	supervised	ADJ
cet-12812	8	11	machine	machine	NOUN
cet-12812	8	12	learning	learn	VERB
cet-12812	8	13	techniques	technique	NOUN
cet-12812	8	14	.	.	PUNCT
cet-12812	9	1	outcomes	outcome	NOUN
cet-12812	9	2	indicate	indicate	VERB
cet-12812	9	3	that	that	SCONJ
cet-12812	9	4	linear	linear	ADJ
cet-12812	9	5	discrimination	discrimination	NOUN
cet-12812	9	6	analysis	analysis	NOUN
cet-12812	9	7	(	(	PUNCT
cet-12812	9	8	lda	lda	NOUN
cet-12812	9	9	)	)	PUNCT
cet-12812	9	10	performs	perform	VERB
cet-12812	9	11	a	a	DET
cet-12812	9	12	90	90	NUM
cet-12812	9	13	%	%	NOUN
cet-12812	9	14	precise	precise	ADJ
cet-12812	9	15	discrimination	discrimination	NOUN
cet-12812	9	16	on	on	ADP
cet-12812	9	17	test	test	NOUN
cet-12812	9	18	dataset	dataset	VERB
cet-12812	9	19	and	and	CCONJ
cet-12812	9	20	provides	provide	VERB
cet-12812	9	21	a	a	DET
cet-12812	9	22	clear	clear	ADJ
cet-12812	9	23	discrimination	discrimination	NOUN
cet-12812	9	24	of	of	ADP
cet-12812	9	25	no2	no2	NOUN
cet-12812	9	26	with	with	ADP
cet-12812	9	27	interfering	interfere	VERB
cet-12812	9	28	toxic	toxic	ADJ
cet-12812	9	29	compounds	compound	NOUN
cet-12812	9	30	.	.	PUNCT
cet-12812	10	1	on	on	ADP
cet-12812	10	2	the	the	DET
cet-12812	10	3	other	other	ADJ
cet-12812	10	4	hand	hand	NOUN
cet-12812	10	5	,	,	PUNCT
cet-12812	10	6	k	k	X
cet-12812	10	7	-	-	PUNCT
cet-12812	10	8	nearest	near	ADJ
cet-12812	10	9	neighbors	neighbor	NOUN
cet-12812	10	10	(	(	PUNCT
cet-12812	10	11	knn	knn	PROPN
cet-12812	10	12	)	)	PUNCT
cet-12812	10	13	and	and	CCONJ
cet-12812	10	14	logistic	logistic	ADJ
cet-12812	10	15	regression	regression	NOUN
cet-12812	10	16	(	(	PUNCT
cet-12812	10	17	lr	lr	NOUN
cet-12812	10	18	)	)	PUNCT
cet-12812	10	19	also	also	ADV
cet-12812	10	20	achieve	achieve	VERB
cet-12812	10	21	excellent	excellent	ADJ
cet-12812	10	22	classification	classification	NOUN
cet-12812	10	23	scores	score	NOUN
cet-12812	10	24	(	(	PUNCT
cet-12812	10	25	95	95	NUM
cet-12812	10	26	%	%	NOUN
cet-12812	10	27	and	and	CCONJ
cet-12812	10	28	79	79	NUM
cet-12812	10	29	%	%	NOUN
cet-12812	10	30	respectively	respectively	ADV
cet-12812	10	31	)	)	PUNCT
cet-12812	10	32	.	.	PUNCT
cet-12812	11	1	decision	decision	NOUN
cet-12812	11	2	surface	surface	NOUN
cet-12812	11	3	for	for	ADP
cet-12812	11	4	toxic	toxic	ADJ
cet-12812	11	5	compounds	compound	NOUN
cet-12812	11	6	of	of	ADP
cet-12812	11	7	different	different	ADJ
cet-12812	11	8	classification	classification	NOUN
cet-12812	11	9	algorithms	algorithm	NOUN
cet-12812	11	10	were	be	AUX
cet-12812	11	11	also	also	ADV
cet-12812	11	12	performed	perform	VERB
cet-12812	11	13	achieving	achieve	VERB
cet-12812	11	14	good	good	ADJ
cet-12812	11	15	classification	classification	NOUN
cet-12812	11	16	.	.	PUNCT
cet-12812	12	1	an	an	DET
cet-12812	12	2	evaluation	evaluation	NOUN
cet-12812	12	3	and	and	CCONJ
cet-12812	12	4	comparison	comparison	NOUN
cet-12812	12	5	of	of	ADP
cet-12812	12	6	the	the	DET
cet-12812	12	7	prediction	prediction	NOUN
cet-12812	12	8	methods	method	NOUN
cet-12812	12	9	:	:	PUNCT
cet-12812	12	10	partial	partial	ADJ
cet-12812	12	11	least	least	ADJ
cet-12812	12	12	square	square	ADJ
cet-12812	12	13	(	(	PUNCT
cet-12812	12	14	pls	pls	INTJ
cet-12812	12	15	)	)	PUNCT
cet-12812	12	16	,	,	PUNCT
cet-12812	12	17	artificial	artificial	ADJ
cet-12812	12	18	neural	neural	ADJ
cet-12812	12	19	networks	network	NOUN
cet-12812	12	20	(	(	PUNCT
cet-12812	12	21	anns	anns	NOUN
cet-12812	12	22	)	)	PUNCT
cet-12812	12	23	and	and	CCONJ
cet-12812	12	24	cascade	cascade	NOUN
cet-12812	12	25	of	of	ADP
cet-12812	12	26	anns	ann	NOUN
cet-12812	12	27	are	be	AUX
cet-12812	12	28	accomplished	accomplish	VERB
cet-12812	12	29	.	.	PUNCT
cet-12812	13	1	the	the	DET
cet-12812	13	2	ann	ann	PROPN
cet-12812	13	3	cascade	cascade	NOUN
cet-12812	13	4	results	result	NOUN
cet-12812	13	5	show	show	VERB
cet-12812	13	6	that	that	SCONJ
cet-12812	13	7	this	this	DET
cet-12812	13	8	technique	technique	NOUN
cet-12812	13	9	is	be	AUX
cet-12812	13	10	an	an	DET
cet-12812	13	11	excellent	excellent	ADJ
cet-12812	13	12	candidate	candidate	NOUN
cet-12812	13	13	for	for	ADP
cet-12812	13	14	an	an	DET
cet-12812	13	15	accurate	accurate	ADJ
cet-12812	13	16	prediction	prediction	NOUN
cet-12812	13	17	and	and	CCONJ
cet-12812	13	18	classification	classification	NOUN
cet-12812	13	19	of	of	ADP
cet-12812	13	20	no2	no2	PROPN
cet-12812	13	21	.	.	PUNCT
cet-12812	14	1	therefore	therefore	ADV
cet-12812	14	2	,	,	PUNCT
cet-12812	14	3	the	the	DET
cet-12812	14	4	designed	design	VERB
cet-12812	14	5	and	and	CCONJ
cet-12812	14	6	validated	validated	ADJ
cet-12812	14	7	e	e	NOUN
cet-12812	14	8	-	-	NOUN
cet-12812	14	9	nose	nose	NOUN
cet-12812	14	10	is	be	AUX
cet-12812	14	11	a	a	DET
cet-12812	14	12	promising	promising	ADJ
cet-12812	14	13	on	on	ADP
cet-12812	14	14	-	-	PUNCT
cet-12812	14	15	line	line	NOUN
cet-12812	14	16	tool	tool	NOUN
cet-12812	14	17	of	of	ADP
cet-12812	14	18	analysis	analysis	NOUN
cet-12812	14	19	for	for	ADP
cet-12812	14	20	environmental	environmental	ADJ
cet-12812	14	21	applications	application	NOUN
cet-12812	14	22	.	.	PUNCT
cet-12812	15	1	1	1	X
cet-12812	15	2	.	.	X
cet-12812	15	3	introduction	introduction	NOUN
cet-12812	15	4	the	the	DET
cet-12812	15	5	performance	performance	NOUN
cet-12812	15	6	of	of	ADP
cet-12812	15	7	a	a	DET
cet-12812	15	8	gas	gas	NOUN
cet-12812	15	9	sensor	sensor	NOUN
cet-12812	15	10	depends	depend	VERB
cet-12812	15	11	mainly	mainly	ADV
cet-12812	15	12	on	on	ADP
cet-12812	15	13	the	the	DET
cet-12812	15	14	proper	proper	ADJ
cet-12812	15	15	use	use	NOUN
cet-12812	15	16	of	of	ADP
cet-12812	15	17	sensing	sense	VERB
cet-12812	15	18	materials	material	NOUN
cet-12812	15	19	,	,	PUNCT
cet-12812	15	20	the	the	DET
cet-12812	15	21	low	low	ADJ
cet-12812	15	22	noise	noise	NOUN
cet-12812	15	23	and	and	CCONJ
cet-12812	15	24	high	high	ADJ
cet-12812	15	25	accuracy	accuracy	NOUN
cet-12812	15	26	of	of	ADP
cet-12812	15	27	the	the	DET
cet-12812	15	28	signal	signal	NOUN
cet-12812	15	29	acquisition	acquisition	NOUN
cet-12812	15	30	system	system	NOUN
cet-12812	15	31	(	(	PUNCT
cet-12812	15	32	matatagui	matatagui	NOUN
cet-12812	15	33	et	et	PROPN
cet-12812	15	34	al	al	PROPN
cet-12812	15	35	.	.	PROPN
cet-12812	15	36	,2019	,2019	PROPN
cet-12812	15	37	;	;	PUNCT
cet-12812	15	38	santos	santos	PROPN
cet-12812	15	39	et	et	PROPN
cet-12812	15	40	al	al	PROPN
cet-12812	15	41	.	.	PROPN
cet-12812	15	42	,	,	PUNCT
cet-12812	15	43	2012	2012	NUM
cet-12812	15	44	)	)	PUNCT
cet-12812	15	45	.	.	PUNCT
cet-12812	16	1	in	in	ADP
cet-12812	16	2	this	this	DET
cet-12812	16	3	work	work	NOUN
cet-12812	16	4	,	,	PUNCT
cet-12812	16	5	the	the	DET
cet-12812	16	6	shear	shear	NOUN
cet-12812	16	7	horizontal	horizontal	PROPN
cet-12812	16	8	surface	surface	PROPN
cet-12812	16	9	acoustic	acoustic	ADJ
cet-12812	16	10	wave	wave	NOUN
cet-12812	16	11	(	(	PUNCT
cet-12812	16	12	hs	hs	NOUN
cet-12812	16	13	-	-	PUNCT
cet-12812	16	14	saw	saw	NOUN
cet-12812	16	15	)	)	PUNCT
cet-12812	16	16	sensors	sensor	NOUN
cet-12812	16	17	based	base	VERB
cet-12812	16	18	on	on	ADP
cet-12812	16	19	carbon	carbon	NOUN
cet-12812	16	20	sensing	sense	VERB
cet-12812	16	21	materials	material	NOUN
cet-12812	16	22	exhibit	exhibit	VERB
cet-12812	16	23	excellent	excellent	ADJ
cet-12812	16	24	sensitivity	sensitivity	NOUN
cet-12812	16	25	,	,	PUNCT
cet-12812	16	26	response	response	NOUN
cet-12812	16	27	/	/	SYM
cet-12812	16	28	recovery	recovery	NOUN
cet-12812	16	29	time	time	NOUN
cet-12812	16	30	,	,	PUNCT
cet-12812	16	31	reproducibility	reproducibility	NOUN
cet-12812	16	32	,	,	PUNCT
cet-12812	16	33	and	and	CCONJ
cet-12812	16	34	long	long	ADJ
cet-12812	16	35	-	-	PUNCT
cet-12812	16	36	term	term	NOUN
cet-12812	16	37	stability	stability	NOUN
cet-12812	16	38	(	(	PUNCT
cet-12812	16	39	jha	jha	PROPN
cet-12812	16	40	et	et	PROPN
cet-12812	16	41	al	al	PROPN
cet-12812	16	42	.	.	PROPN
cet-12812	16	43	,	,	PUNCT
cet-12812	16	44	2009	2009	NUM
cet-12812	16	45	;	;	PUNCT
cet-12812	16	46	de	de	X
cet-12812	16	47	la	la	X
cet-12812	16	48	ocuevas	ocuevas	X
cet-12812	16	49	et	et	PROPN
cet-12812	16	50	al	al	PROPN
cet-12812	16	51	.	.	PROPN
cet-12812	16	52	,	,	PUNCT
cet-12812	16	53	2021	2021	NUM
cet-12812	16	54	)	)	PUNCT
cet-12812	16	55	.	.	PUNCT
cet-12812	17	1	in	in	ADP
cet-12812	17	2	addition	addition	NOUN
cet-12812	17	3	,	,	PUNCT
cet-12812	17	4	data	datum	NOUN
cet-12812	17	5	processing	processing	NOUN
cet-12812	17	6	is	be	AUX
cet-12812	17	7	an	an	DET
cet-12812	17	8	important	important	ADJ
cet-12812	17	9	factor	factor	NOUN
cet-12812	17	10	,	,	PUNCT
cet-12812	17	11	as	as	SCONJ
cet-12812	17	12	the	the	DET
cet-12812	17	13	success	success	NOUN
cet-12812	17	14	of	of	ADP
cet-12812	17	15	the	the	DET
cet-12812	17	16	machine	machine	NOUN
cet-12812	17	17	learning	learning	NOUN
cet-12812	17	18	(	(	PUNCT
cet-12812	17	19	ml	ml	NOUN
cet-12812	17	20	)	)	PUNCT
cet-12812	17	21	process	process	NOUN
cet-12812	17	22	relies	rely	VERB
cet-12812	17	23	on	on	ADP
cet-12812	17	24	it	it	PRON
cet-12812	17	25	.	.	PUNCT
cet-12812	18	1	it	it	PRON
cet-12812	18	2	aims	aim	VERB
cet-12812	18	3	at	at	ADP
cet-12812	18	4	extracting	extract	VERB
cet-12812	18	5	robust	robust	ADJ
cet-12812	18	6	feature	feature	NOUN
cet-12812	18	7	information	information	NOUN
cet-12812	18	8	from	from	ADP
cet-12812	18	9	the	the	DET
cet-12812	18	10	dynamic	dynamic	ADJ
cet-12812	18	11	response	response	NOUN
cet-12812	18	12	of	of	ADP
cet-12812	18	13	the	the	DET
cet-12812	18	14	sensors	sensor	NOUN
cet-12812	18	15	,	,	PUNCT
cet-12812	18	16	which	which	PRON
cet-12812	18	17	can	can	AUX
cet-12812	18	18	represent	represent	VERB
cet-12812	18	19	the	the	DET
cet-12812	18	20	unique	unique	ADJ
cet-12812	18	21	"	"	PUNCT
cet-12812	18	22	fingerprint	fingerprint	NOUN
cet-12812	18	23	"	"	PUNCT
cet-12812	18	24	patterns	pattern	NOUN
cet-12812	18	25	for	for	ADP
cet-12812	18	26	a	a	DET
cet-12812	18	27	particular	particular	ADJ
cet-12812	18	28	gas	gas	NOUN
cet-12812	18	29	.	.	PUNCT
cet-12812	19	1	to	to	PART
cet-12812	19	2	ensure	ensure	VERB
cet-12812	19	3	the	the	DET
cet-12812	19	4	effectiveness	effectiveness	NOUN
cet-12812	19	5	of	of	ADP
cet-12812	19	6	the	the	DET
cet-12812	19	7	subsequent	subsequent	ADJ
cet-12812	19	8	pattern	pattern	NOUN
cet-12812	19	9	recognition	recognition	NOUN
cet-12812	19	10	algorithm	algorithm	NOUN
cet-12812	19	11	,	,	PUNCT
cet-12812	19	12	ml	ml	ADP
cet-12812	19	13	techniques	technique	NOUN
cet-12812	19	14	such	such	ADJ
cet-12812	19	15	as	as	ADP
cet-12812	19	16	k	k	NOUN
cet-12812	19	17	-	-	PUNCT
cet-12812	19	18	nearest	near	ADJ
cet-12812	19	19	neighbors	neighbor	NOUN
cet-12812	19	20	(	(	PUNCT
cet-12812	19	21	knn	knn	PROPN
cet-12812	19	22	)	)	PUNCT
cet-12812	19	23	,	,	PUNCT
cet-12812	19	24	partial	partial	ADJ
cet-12812	19	25	least	least	ADJ
cet-12812	19	26	squares	square	NOUN
cet-12812	19	27	(	(	PUNCT
cet-12812	19	28	pls	pls	INTJ
cet-12812	19	29	)	)	PUNCT
cet-12812	19	30	or	or	CCONJ
cet-12812	19	31	artificial	artificial	ADJ
cet-12812	19	32	neural	neural	ADJ
cet-12812	19	33	network	network	NOUN
cet-12812	19	34	(	(	PUNCT
cet-12812	19	35	ann	ann	PROPN
cet-12812	19	36	)	)	PUNCT
cet-12812	19	37	(	(	PUNCT
cet-12812	19	38	aleixandre	aleixandre	NOUN
cet-12812	19	39	et	et	PROPN
cet-12812	19	40	al	al	PROPN
cet-12812	19	41	.	.	PROPN
cet-12812	19	42	2014	2014	NUM
cet-12812	19	43	;	;	PUNCT
cet-12812	19	44	yaqoob	yaqoob	NOUN
cet-12812	19	45	et	et	NOUN
cet-12812	19	46	al	al	PROPN
cet-12812	19	47	.	.	PROPN
cet-12812	19	48	,	,	PUNCT
cet-12812	19	49	2021	2021	NUM
cet-12812	19	50	;	;	PUNCT
cet-12812	19	51	gutierrezosuna	gutierrezosuna	ADV
cet-12812	19	52	et	et	PROPN
cet-12812	19	53	al	al	PROPN
cet-12812	19	54	.	.	PROPN
cet-12812	19	55	,	,	PUNCT
cet-12812	19	56	2002	2002	NUM
cet-12812	19	57	,	,	PUNCT
cet-12812	19	58	covington	covington	PROPN
cet-12812	19	59	et	et	PROPN
cet-12812	19	60	al	al	PROPN
cet-12812	19	61	.	.	PROPN
cet-12812	19	62	,	,	PUNCT
cet-12812	19	63	2021	2021	NUM
cet-12812	19	64	)	)	PUNCT
cet-12812	19	65	have	have	AUX
cet-12812	19	66	been	be	AUX
cet-12812	19	67	widely	widely	ADV
cet-12812	19	68	used	use	VERB
cet-12812	19	69	in	in	ADP
cet-12812	19	70	the	the	DET
cet-12812	19	71	achievement	achievement	NOUN
cet-12812	19	72	of	of	ADP
cet-12812	19	73	highly	highly	ADV
cet-12812	19	74	selective	selective	ADJ
cet-12812	19	75	gas	gas	NOUN
cet-12812	19	76	sensors	sensor	NOUN
cet-12812	19	77	.	.	PUNCT
cet-12812	20	1	it	it	PRON
cet-12812	20	2	is	be	AUX
cet-12812	20	3	therefore	therefore	ADV
cet-12812	20	4	of	of	ADP
cet-12812	20	5	great	great	ADJ
cet-12812	20	6	importance	importance	NOUN
cet-12812	20	7	that	that	PRON
cet-12812	20	8	sensor	sensor	NOUN
cet-12812	20	9	signal	signal	NOUN
cet-12812	20	10	processing	processing	NOUN
cet-12812	20	11	(	(	PUNCT
cet-12812	20	12	e.g.	e.g.	ADV
cet-12812	20	13	,	,	PUNCT
cet-12812	20	14	algorithms	algorithm	NOUN
cet-12812	20	15	)	)	PUNCT
cet-12812	20	16	is	be	AUX
cet-12812	20	17	integrated	integrate	VERB
cet-12812	20	18	into	into	ADP
cet-12812	20	19	implementing	implement	VERB
cet-12812	20	20	electronic	electronic	ADJ
cet-12812	20	21	nose	nose	NOUN
cet-12812	20	22	for	for	ADP
cet-12812	20	23	realistic	realistic	ADJ
cet-12812	20	24	applications	application	NOUN
cet-12812	20	25	.	.	PUNCT
cet-12812	21	1	in	in	ADP
cet-12812	21	2	this	this	DET
cet-12812	21	3	study	study	NOUN
cet-12812	21	4	,	,	PUNCT
cet-12812	21	5	we	we	PRON
cet-12812	21	6	develop	develop	VERB
cet-12812	21	7	a	a	DET
cet-12812	21	8	complete	complete	ADJ
cet-12812	21	9	system	system	NOUN
cet-12812	21	10	of	of	ADP
cet-12812	21	11	carbon	carbon	NOUN
cet-12812	21	12	-	-	PUNCT
cet-12812	21	13	based	base	VERB
cet-12812	21	14	hs	hs	NOUN
cet-12812	21	15	-	-	PUNCT
cet-12812	21	16	saw	saw	NOUN
cet-12812	21	17	sensor	sensor	NOUN
cet-12812	21	18	array	array	VERB
cet-12812	21	19	together	together	ADV
cet-12812	21	20	with	with	ADP
cet-12812	21	21	signal	signal	ADJ
cet-12812	21	22	processing	processing	NOUN
cet-12812	21	23	units	unit	NOUN
cet-12812	21	24	and	and	CCONJ
cet-12812	21	25	ml	ml	ADP
cet-12812	21	26	algorithms	algorithm	NOUN
cet-12812	21	27	in	in	ADP
cet-12812	21	28	a	a	DET
cet-12812	21	29	smart	smart	ADJ
cet-12812	21	30	and	and	CCONJ
cet-12812	21	31	compact	compact	ADJ
cet-12812	21	32	gas	gas	NOUN
cet-12812	21	33	sensor	sensor	NOUN
cet-12812	21	34	system	system	NOUN
cet-12812	21	35	.	.	PUNCT
cet-12812	22	1	the	the	DET
cet-12812	22	2	modular	modular	ADJ
cet-12812	22	3	architecture	architecture	NOUN
cet-12812	22	4	provides	provide	VERB
cet-12812	22	5	a	a	DET
cet-12812	22	6	very	very	ADV
cet-12812	22	7	self	self	NOUN
cet-12812	22	8	-	-	PUNCT
cet-12812	22	9	contained	contain	VERB
cet-12812	22	10	and	and	CCONJ
cet-12812	22	11	versatile	versatile	ADJ
cet-12812	22	12	platform	platform	NOUN
cet-12812	22	13	,	,	PUNCT
cet-12812	22	14	incorporating	incorporate	VERB
cet-12812	22	15	besides	besides	SCONJ
cet-12812	22	16	the	the	DET
cet-12812	22	17	ml	ml	NOUN
cet-12812	22	18	capabilities	capability	NOUN
cet-12812	22	19	for	for	ADP
cet-12812	22	20	gas	gas	NOUN
cet-12812	22	21	sensing	sensing	NOUN
cet-12812	22	22	.	.	PUNCT
cet-12812	23	1	73	73	NUM
cet-12812	24	1	mailto:carmen.horrillo.guemes@csic.es	mailto:carmen.horrillo.guemes@csic.es	NOUN
cet-12812	24	2	2	2	NUM
cet-12812	24	3	.	.	PUNCT
cet-12812	25	1	experimental	experimental	ADJ
cet-12812	25	2	setup	setup	NOUN
cet-12812	25	3	figure	figure	NOUN
cet-12812	25	4	1	1	NUM
cet-12812	25	5	shows	show	VERB
cet-12812	25	6	the	the	DET
cet-12812	25	7	experimental	experimental	ADJ
cet-12812	25	8	design	design	NOUN
cet-12812	25	9	and	and	CCONJ
cet-12812	25	10	the	the	DET
cet-12812	25	11	processing	processing	NOUN
cet-12812	25	12	abilities	ability	NOUN
cet-12812	25	13	we	we	PRON
cet-12812	25	14	have	have	AUX
cet-12812	25	15	employed	employ	VERB
cet-12812	25	16	for	for	ADP
cet-12812	25	17	this	this	DET
cet-12812	25	18	study	study	NOUN
cet-12812	25	19	.	.	PUNCT
cet-12812	26	1	the	the	DET
cet-12812	26	2	experimental	experimental	ADJ
cet-12812	26	3	setup	setup	NOUN
cet-12812	26	4	consisted	consist	VERB
cet-12812	26	5	of	of	ADP
cet-12812	26	6	the	the	DET
cet-12812	26	7	e	e	NOUN
cet-12812	26	8	-	-	NOUN
cet-12812	26	9	nose	nose	NOUN
cet-12812	26	10	(	(	PUNCT
cet-12812	26	11	figure	figure	NOUN
cet-12812	26	12	2a	2a	NUM
cet-12812	26	13	)	)	PUNCT
cet-12812	26	14	,	,	PUNCT
cet-12812	26	15	the	the	DET
cet-12812	26	16	automatic	automatic	ADJ
cet-12812	26	17	gas	gas	NOUN
cet-12812	26	18	line	line	NOUN
cet-12812	26	19	(	(	PUNCT
cet-12812	26	20	figure	figure	NOUN
cet-12812	26	21	2b	2b	NOUN
cet-12812	26	22	)	)	PUNCT
cet-12812	26	23	and	and	CCONJ
cet-12812	26	24	the	the	DET
cet-12812	26	25	signal	signal	ADJ
cet-12812	26	26	processing	processing	NOUN
cet-12812	26	27	system	system	NOUN
cet-12812	26	28	to	to	PART
cet-12812	26	29	evaluate	evaluate	VERB
cet-12812	26	30	the	the	DET
cet-12812	26	31	discrimination	discrimination	NOUN
cet-12812	26	32	and	and	CCONJ
cet-12812	26	33	the	the	DET
cet-12812	26	34	prediction	prediction	NOUN
cet-12812	26	35	of	of	ADP
cet-12812	26	36	the	the	DET
cet-12812	26	37	gas	gas	NOUN
cet-12812	26	38	tested	test	VERB
cet-12812	26	39	.	.	PUNCT
cet-12812	27	1	figure	figure	VERB
cet-12812	27	2	1	1	NUM
cet-12812	27	3	:	:	PUNCT
cet-12812	27	4	experimental	experimental	ADJ
cet-12812	27	5	setup	setup	NOUN
cet-12812	27	6	2.1	2.1	NUM
cet-12812	27	7	electronic	electronic	ADJ
cet-12812	27	8	nose	nose	NOUN
cet-12812	27	9	the	the	DET
cet-12812	27	10	system	system	NOUN
cet-12812	27	11	was	be	AUX
cet-12812	27	12	designed	design	VERB
cet-12812	27	13	using	use	VERB
cet-12812	27	14	1	1	NUM
cet-12812	27	15	)	)	PUNCT
cet-12812	27	16	a	a	DET
cet-12812	27	17	carbon	carbon	NOUN
cet-12812	27	18	-	-	PUNCT
cet-12812	27	19	based	base	VERB
cet-12812	27	20	sensor	sensor	NOUN
cet-12812	27	21	array	array	NOUN
cet-12812	27	22	,	,	PUNCT
cet-12812	27	23	2	2	X
cet-12812	27	24	)	)	PUNCT
cet-12812	27	25	a	a	DET
cet-12812	27	26	data	data	NOUN
cet-12812	27	27	acquisition	acquisition	NOUN
cet-12812	27	28	stage	stage	NOUN
cet-12812	27	29	,	,	PUNCT
cet-12812	27	30	3	3	X
cet-12812	27	31	)	)	PUNCT
cet-12812	27	32	a	a	DET
cet-12812	27	33	signal	signal	ADJ
cet-12812	27	34	conditioning	conditioning	NOUN
cet-12812	27	35	stage	stage	NOUN
cet-12812	27	36	and	and	CCONJ
cet-12812	27	37	4	4	X
cet-12812	27	38	)	)	PUNCT
cet-12812	27	39	data	datum	NOUN
cet-12812	27	40	transmission	transmission	NOUN
cet-12812	27	41	and	and	CCONJ
cet-12812	27	42	software	software	NOUN
cet-12812	27	43	application	application	NOUN
cet-12812	27	44	stages	stage	NOUN
cet-12812	27	45	(	(	PUNCT
cet-12812	27	46	figure	figure	NOUN
cet-12812	27	47	2a	2a	NUM
cet-12812	27	48	)	)	PUNCT
cet-12812	27	49	.	.	PUNCT
cet-12812	28	1	the	the	DET
cet-12812	28	2	sensor	sensor	NOUN
cet-12812	28	3	array	array	NOUN
cet-12812	28	4	was	be	AUX
cet-12812	28	5	developed	develop	VERB
cet-12812	28	6	with	with	ADP
cet-12812	28	7	four	four	NUM
cet-12812	28	8	carbon	carbon	NOUN
cet-12812	28	9	-	-	PUNCT
cet-12812	28	10	based	base	VERB
cet-12812	28	11	nanostructured	nanostructure	VERB
cet-12812	28	12	materials	material	NOUN
cet-12812	28	13	,	,	PUNCT
cet-12812	28	14	such	such	ADJ
cet-12812	28	15	as	as	ADP
cet-12812	28	16	,	,	PUNCT
cet-12812	28	17	mesoporous	mesoporous	ADJ
cet-12812	28	18	carbon	carbon	NOUN
cet-12812	28	19	(	(	PUNCT
cet-12812	28	20	mc	mc	PROPN
cet-12812	28	21	)	)	PUNCT
cet-12812	28	22	,	,	PUNCT
cet-12812	28	23	reduced	reduce	VERB
cet-12812	28	24	graphene	graphene	NOUN
cet-12812	28	25	oxide	oxide	NOUN
cet-12812	28	26	(	(	PUNCT
cet-12812	28	27	rgo	rgo	PROPN
cet-12812	28	28	)	)	PUNCT
cet-12812	28	29	,	,	PUNCT
cet-12812	28	30	graphene	graphene	ADJ
cet-12812	28	31	oxide	oxide	NOUN
cet-12812	28	32	(	(	PUNCT
cet-12812	28	33	go	go	VERB
cet-12812	28	34	)	)	PUNCT
cet-12812	28	35	and	and	CCONJ
cet-12812	28	36	polydopamine	polydopamine	NOUN
cet-12812	28	37	/	/	SYM
cet-12812	28	38	reduced	reduce	VERB
cet-12812	28	39	graphene	graphene	NOUN
cet-12812	28	40	oxide	oxide	NOUN
cet-12812	28	41	(	(	PUNCT
cet-12812	28	42	pda	pda	PROPN
cet-12812	28	43	/	/	SYM
cet-12812	28	44	rgo	rgo	PROPN
cet-12812	28	45	)	)	PUNCT
cet-12812	28	46	.	.	PUNCT
cet-12812	29	1	the	the	DET
cet-12812	29	2	sensors	sensor	NOUN
cet-12812	29	3	and	and	CCONJ
cet-12812	29	4	the	the	DET
cet-12812	29	5	signal	signal	ADJ
cet-12812	29	6	conditioning	conditioning	NOUN
cet-12812	29	7	modules	module	NOUN
cet-12812	29	8	were	be	AUX
cet-12812	29	9	mechanically	mechanically	ADV
cet-12812	29	10	adapted	adapt	VERB
cet-12812	29	11	allowing	allow	VERB
cet-12812	29	12	an	an	DET
cet-12812	29	13	easy	easy	ADJ
cet-12812	29	14	access	access	NOUN
cet-12812	29	15	to	to	PART
cet-12812	29	16	carry	carry	VERB
cet-12812	29	17	out	out	ADP
cet-12812	29	18	changes	change	NOUN
cet-12812	29	19	and	and	CCONJ
cet-12812	29	20	manipulation	manipulation	NOUN
cet-12812	29	21	.	.	PUNCT
cet-12812	30	1	the	the	DET
cet-12812	30	2	signal	signal	ADJ
cet-12812	30	3	conditioning	conditioning	NOUN
cet-12812	30	4	module	module	NOUN
cet-12812	30	5	feeds	feed	VERB
cet-12812	30	6	each	each	DET
cet-12812	30	7	sensor	sensor	NOUN
cet-12812	30	8	into	into	ADP
cet-12812	30	9	a	a	DET
cet-12812	30	10	feedback	feedback	NOUN
cet-12812	30	11	loop	loop	NOUN
cet-12812	30	12	that	that	PRON
cet-12812	30	13	consists	consist	VERB
cet-12812	30	14	of	of	ADP
cet-12812	30	15	two	two	NUM
cet-12812	30	16	amplifier	amplifier	ADJ
cet-12812	30	17	steps	step	NOUN
cet-12812	30	18	and	and	CCONJ
cet-12812	30	19	a	a	DET
cet-12812	30	20	directional	directional	ADJ
cet-12812	30	21	coupler	coupler	NOUN
cet-12812	30	22	.	.	PUNCT
cet-12812	31	1	the	the	DET
cet-12812	31	2	output	output	NOUN
cet-12812	31	3	of	of	ADP
cet-12812	31	4	the	the	DET
cet-12812	31	5	coupler	coupler	NOUN
cet-12812	31	6	was	be	AUX
cet-12812	31	7	used	use	VERB
cet-12812	31	8	to	to	PART
cet-12812	31	9	sample	sample	VERB
cet-12812	31	10	the	the	DET
cet-12812	31	11	oscillator	oscillator	NOUN
cet-12812	31	12	frequency	frequency	NOUN
cet-12812	31	13	.	.	PUNCT
cet-12812	32	1	a	a	DET
cet-12812	32	2	multiplexer	multiplexer	NOUN
cet-12812	32	3	selected	select	VERB
cet-12812	32	4	one	one	NUM
cet-12812	32	5	of	of	ADP
cet-12812	32	6	the	the	DET
cet-12812	32	7	sensor	sensor	NOUN
cet-12812	32	8	-	-	PUNCT
cet-12812	32	9	oscillator	oscillator	NOUN
cet-12812	32	10	signals	signal	NOUN
cet-12812	32	11	as	as	ADP
cet-12812	32	12	a	a	DET
cet-12812	32	13	single	single	ADJ
cet-12812	32	14	output	output	NOUN
cet-12812	32	15	,	,	PUNCT
cet-12812	32	16	which	which	PRON
cet-12812	32	17	is	be	AUX
cet-12812	32	18	mixed	mix	VERB
cet-12812	32	19	with	with	ADP
cet-12812	32	20	the	the	DET
cet-12812	32	21	reference	reference	NOUN
cet-12812	32	22	oscillator	oscillator	NOUN
cet-12812	32	23	signal	signal	NOUN
cet-12812	32	24	.	.	PUNCT
cet-12812	33	1	this	this	DET
cet-12812	33	2	signal	signal	NOUN
cet-12812	33	3	allows	allow	VERB
cet-12812	33	4	the	the	DET
cet-12812	33	5	operating	operate	VERB
cet-12812	33	6	frequency	frequency	NOUN
cet-12812	33	7	to	to	PART
cet-12812	33	8	be	be	AUX
cet-12812	33	9	reduced	reduce	VERB
cet-12812	33	10	and	and	CCONJ
cet-12812	33	11	compensates	compensate	NOUN
cet-12812	33	12	for	for	ADP
cet-12812	33	13	temperature	temperature	NOUN
cet-12812	33	14	and	and	CCONJ
cet-12812	33	15	noise	noise	NOUN
cet-12812	33	16	disturbances	disturbance	NOUN
cet-12812	33	17	.	.	PUNCT
cet-12812	34	1	in	in	ADP
cet-12812	34	2	this	this	DET
cet-12812	34	3	way	way	NOUN
cet-12812	34	4	,	,	PUNCT
cet-12812	34	5	a	a	DET
cet-12812	34	6	difference	difference	NOUN
cet-12812	34	7	signal	signal	NOUN
cet-12812	34	8	is	be	AUX
cet-12812	34	9	obtained	obtain	VERB
cet-12812	34	10	.	.	PUNCT
cet-12812	35	1	the	the	DET
cet-12812	35	2	output	output	NOUN
cet-12812	35	3	signals	signal	NOUN
cet-12812	35	4	are	be	AUX
cet-12812	35	5	processed	process	VERB
cet-12812	35	6	(	(	PUNCT
cet-12812	35	7	filtered	filter	VERB
cet-12812	35	8	and	and	CCONJ
cet-12812	35	9	amplified	amplify	VERB
cet-12812	35	10	ones	one	NOUN
cet-12812	35	11	by	by	ADP
cet-12812	35	12	the	the	DET
cet-12812	35	13	analogue	analogue	NOUN
cet-12812	35	14	-	-	PUNCT
cet-12812	35	15	to	to	ADP
cet-12812	35	16	-	-	PUNCT
cet-12812	35	17	digital	digital	ADJ
cet-12812	35	18	converter	converter	NOUN
cet-12812	35	19	port	port	NOUN
cet-12812	35	20	of	of	ADP
cet-12812	35	21	the	the	DET
cet-12812	35	22	teensy	teensy	NUM
cet-12812	35	23	microcontroller	microcontroller	NOUN
cet-12812	35	24	)	)	PUNCT
cet-12812	35	25	,	,	PUNCT
cet-12812	35	26	and	and	CCONJ
cet-12812	35	27	the	the	DET
cet-12812	35	28	teensy	teensy	NUM
cet-12812	35	29	module	module	NOUN
cet-12812	35	30	was	be	AUX
cet-12812	35	31	used	use	VERB
cet-12812	35	32	as	as	ADP
cet-12812	35	33	a	a	DET
cet-12812	35	34	frequency	frequency	NOUN
cet-12812	35	35	counter	counter	NOUN
cet-12812	35	36	(	(	PUNCT
cet-12812	35	37	matatagui	matatagui	PROPN
cet-12812	35	38	et	et	PROPN
cet-12812	35	39	al	al	PROPN
cet-12812	35	40	.	.	PROPN
cet-12812	35	41	,	,	PUNCT
cet-12812	35	42	2019	2019	NUM
cet-12812	35	43	)	)	PUNCT
cet-12812	35	44	.	.	PUNCT
cet-12812	36	1	2.2	2.2	NUM
cet-12812	36	2	automatic	automatic	ADJ
cet-12812	36	3	gas	gas	NOUN
cet-12812	36	4	line	line	NOUN
cet-12812	36	5	an	an	DET
cet-12812	36	6	automated	automate	VERB
cet-12812	36	7	flow	flow	NOUN
cet-12812	36	8	system	system	NOUN
cet-12812	36	9	controls	control	VERB
cet-12812	36	10	the	the	DET
cet-12812	36	11	flowmeters	flowmeter	NOUN
cet-12812	36	12	and	and	CCONJ
cet-12812	36	13	allows	allow	VERB
cet-12812	36	14	us	we	PRON
cet-12812	36	15	to	to	PART
cet-12812	36	16	select	select	VERB
cet-12812	36	17	the	the	DET
cet-12812	36	18	gases	gas	NOUN
cet-12812	36	19	that	that	PRON
cet-12812	36	20	enter	enter	VERB
cet-12812	36	21	into	into	ADP
cet-12812	36	22	the	the	DET
cet-12812	36	23	gas	gas	NOUN
cet-12812	36	24	cell	cell	NOUN
cet-12812	36	25	and	and	CCONJ
cet-12812	36	26	the	the	DET
cet-12812	36	27	different	different	ADJ
cet-12812	36	28	tested	test	VERB
cet-12812	36	29	concentrations	concentration	NOUN
cet-12812	36	30	(	(	PUNCT
cet-12812	36	31	figure	figure	NOUN
cet-12812	36	32	2b	2b	NOUN
cet-12812	36	33	)	)	PUNCT
cet-12812	36	34	.	.	PUNCT
cet-12812	37	1	we	we	PRON
cet-12812	37	2	have	have	AUX
cet-12812	37	3	used	use	VERB
cet-12812	37	4	synthetic	synthetic	ADJ
cet-12812	37	5	air	air	NOUN
cet-12812	37	6	as	as	ADP
cet-12812	37	7	carrier	carrier	NOUN
cet-12812	37	8	gas	gas	NOUN
cet-12812	37	9	.	.	PUNCT
cet-12812	38	1	more	more	ADV
cet-12812	38	2	specifically	specifically	ADV
cet-12812	38	3	,	,	PUNCT
cet-12812	38	4	the	the	DET
cet-12812	38	5	gas	gas	NOUN
cet-12812	38	6	control	control	NOUN
cet-12812	38	7	was	be	AUX
cet-12812	38	8	performed	perform	VERB
cet-12812	38	9	by	by	ADP
cet-12812	38	10	three	three	NUM
cet-12812	38	11	bronkhorst	bronkhorst	ADJ
cet-12812	38	12	flowmeters	flowmeter	NOUN
cet-12812	38	13	.	.	PUNCT
cet-12812	39	1	their	their	PRON
cet-12812	39	2	control	control	NOUN
cet-12812	39	3	and	and	CCONJ
cet-12812	39	4	reading	reading	NOUN
cet-12812	39	5	have	have	AUX
cet-12812	39	6	been	be	AUX
cet-12812	39	7	performed	perform	VERB
cet-12812	39	8	by	by	ADP
cet-12812	39	9	two	two	NUM
cet-12812	39	10	acquisition	acquisition	NOUN
cet-12812	39	11	cards	card	NOUN
cet-12812	39	12	adam-4017	adam-4017	NOUN
cet-12812	39	13	and	and	CCONJ
cet-12812	39	14	adam-4024	adam-4024	ADJ
cet-12812	39	15	.	.	PUNCT
cet-12812	40	1	the	the	DET
cet-12812	40	2	configuration	configuration	NOUN
cet-12812	40	3	and	and	CCONJ
cet-12812	40	4	the	the	DET
cet-12812	40	5	reading	reading	NOUN
cet-12812	40	6	of	of	ADP
cet-12812	40	7	the	the	DET
cet-12812	40	8	flowmeters	flowmeter	NOUN
cet-12812	40	9	have	have	AUX
cet-12812	40	10	been	be	AUX
cet-12812	40	11	developed	develop	VERB
cet-12812	40	12	in	in	ADP
cet-12812	40	13	a	a	DET
cet-12812	40	14	labview	labview	NOUN
cet-12812	40	15	acquisition	acquisition	NOUN
cet-12812	40	16	system	system	NOUN
cet-12812	40	17	that	that	PRON
cet-12812	40	18	performs	perform	VERB
cet-12812	40	19	the	the	DET
cet-12812	40	20	pre	pre	NOUN
cet-12812	40	21	-	-	NOUN
cet-12812	40	22	treatment	treatment	NOUN
cet-12812	40	23	and	and	CCONJ
cet-12812	40	24	extraction	extraction	NOUN
cet-12812	40	25	of	of	ADP
cet-12812	40	26	features	feature	NOUN
cet-12812	40	27	of	of	ADP
cet-12812	40	28	the	the	DET
cet-12812	40	29	gas	gas	NOUN
cet-12812	40	30	measurements	measurement	NOUN
cet-12812	40	31	.	.	PUNCT
cet-12812	41	1	(	(	PUNCT
cet-12812	41	2	a	a	X
cet-12812	41	3	)	)	PUNCT
cet-12812	41	4	(	(	PUNCT
cet-12812	41	5	b	b	X
cet-12812	41	6	)	)	PUNCT
cet-12812	41	7	figure	figure	NOUN
cet-12812	41	8	2	2	NUM
cet-12812	41	9	:	:	PUNCT
cet-12812	41	10	sh	sh	PROPN
cet-12812	41	11	-	-	PUNCT
cet-12812	41	12	saw	see	VERB
cet-12812	41	13	e	e	NOUN
cet-12812	41	14	-	-	NOUN
cet-12812	41	15	nose	nose	NOUN
cet-12812	41	16	(	(	PUNCT
cet-12812	41	17	a	a	NOUN
cet-12812	41	18	)	)	PUNCT
cet-12812	41	19	and	and	CCONJ
cet-12812	41	20	implementation	implementation	NOUN
cet-12812	41	21	of	of	ADP
cet-12812	41	22	the	the	DET
cet-12812	41	23	automatic	automatic	ADJ
cet-12812	41	24	gas	gas	NOUN
cet-12812	41	25	line	line	NOUN
cet-12812	41	26	(	(	PUNCT
cet-12812	41	27	b	b	NOUN
cet-12812	41	28	)	)	PUNCT
cet-12812	41	29	.	.	PUNCT
cet-12812	42	1	74	74	NUM
cet-12812	42	2	2.3	2.3	NUM
cet-12812	42	3	processing	processing	NOUN
cet-12812	42	4	system	system	NOUN
cet-12812	42	5	the	the	DET
cet-12812	42	6	e	e	NOUN
cet-12812	42	7	-	-	NOUN
cet-12812	42	8	nose	nose	NOUN
cet-12812	42	9	communication	communication	NOUN
cet-12812	42	10	was	be	AUX
cet-12812	42	11	performed	perform	VERB
cet-12812	42	12	by	by	ADP
cet-12812	42	13	cable	cable	NOUN
cet-12812	42	14	through	through	ADP
cet-12812	42	15	uart	uart	PROPN
cet-12812	42	16	/	/	SYM
cet-12812	42	17	fifo	fifo	ADJ
cet-12812	42	18	controllers	controller	NOUN
cet-12812	42	19	and	and	CCONJ
cet-12812	42	20	by	by	ADP
cet-12812	42	21	wireless	wireless	ADJ
cet-12812	42	22	communication	communication	NOUN
cet-12812	42	23	with	with	ADP
cet-12812	42	24	xbee	xbee	PROPN
cet-12812	42	25	protocol	protocol	PROPN
cet-12812	42	26	.	.	PUNCT
cet-12812	43	1	the	the	DET
cet-12812	43	2	latter	latter	ADJ
cet-12812	43	3	method	method	NOUN
cet-12812	43	4	was	be	AUX
cet-12812	43	5	also	also	ADV
cet-12812	43	6	employed	employ	VERB
cet-12812	43	7	for	for	ADP
cet-12812	43	8	the	the	DET
cet-12812	43	9	control	control	NOUN
cet-12812	43	10	of	of	ADP
cet-12812	43	11	the	the	DET
cet-12812	43	12	gas	gas	NOUN
cet-12812	43	13	line	line	NOUN
cet-12812	43	14	.	.	PUNCT
cet-12812	44	1	the	the	DET
cet-12812	44	2	outcomes	outcome	NOUN
cet-12812	44	3	obtained	obtain	VERB
cet-12812	44	4	have	have	AUX
cet-12812	44	5	been	be	AUX
cet-12812	44	6	processed	process	VERB
cet-12812	44	7	using	use	VERB
cet-12812	44	8	ml	ml	ADP
cet-12812	44	9	techniques	technique	NOUN
cet-12812	44	10	with	with	ADP
cet-12812	44	11	a	a	DET
cet-12812	44	12	pc	pc	NOUN
cet-12812	44	13	using	use	VERB
cet-12812	44	14	the	the	DET
cet-12812	44	15	labview	labview	NOUN
cet-12812	44	16	and	and	CCONJ
cet-12812	44	17	the	the	DET
cet-12812	44	18	matlab	matlab	PROPN
cet-12812	44	19	software	software	NOUN
cet-12812	44	20	.	.	PUNCT
cet-12812	45	1	3	3	X
cet-12812	45	2	.	.	X
cet-12812	45	3	measurements	measurement	VERB
cet-12812	45	4	different	different	ADJ
cet-12812	45	5	concentrations	concentration	NOUN
cet-12812	45	6	of	of	ADP
cet-12812	45	7	toxic	toxic	ADJ
cet-12812	45	8	gases	gas	NOUN
cet-12812	45	9	were	be	AUX
cet-12812	45	10	the	the	DET
cet-12812	45	11	core	core	NOUN
cet-12812	45	12	of	of	ADP
cet-12812	45	13	the	the	DET
cet-12812	45	14	experiments	experiment	NOUN
cet-12812	45	15	to	to	PART
cet-12812	45	16	obtain	obtain	VERB
cet-12812	45	17	the	the	DET
cet-12812	45	18	sensor	sensor	NOUN
cet-12812	45	19	responses	response	NOUN
cet-12812	45	20	:	:	PUNCT
cet-12812	45	21	ammonia	ammonia	NOUN
cet-12812	45	22	(	(	PUNCT
cet-12812	45	23	nh3	nh3	NOUN
cet-12812	45	24	)	)	PUNCT
cet-12812	45	25	,	,	PUNCT
cet-12812	45	26	benzene	benzene	NOUN
cet-12812	45	27	(	(	PUNCT
cet-12812	45	28	c6h6	c6h6	X
cet-12812	45	29	)	)	PUNCT
cet-12812	45	30	and	and	CCONJ
cet-12812	45	31	acetone	acetone	NOUN
cet-12812	45	32	(	(	PUNCT
cet-12812	45	33	c3h6o	c3h6o	NOUN
cet-12812	45	34	)	)	PUNCT
cet-12812	45	35	from	from	ADP
cet-12812	45	36	10	10	NUM
cet-12812	45	37	to	to	PART
cet-12812	45	38	40	40	NUM
cet-12812	45	39	ppm	ppm	NOUN
cet-12812	45	40	;	;	PUNCT
cet-12812	45	41	nitrogen	nitrogen	NOUN
cet-12812	45	42	dioxide	dioxide	NOUN
cet-12812	45	43	(	(	PUNCT
cet-12812	45	44	no2	no2	PROPN
cet-12812	45	45	)	)	PUNCT
cet-12812	45	46	from	from	ADP
cet-12812	45	47	0	0	NUM
cet-12812	45	48	to	to	PART
cet-12812	45	49	1	1	NUM
cet-12812	45	50	ppm	ppm	NOUN
cet-12812	45	51	;	;	PUNCT
cet-12812	45	52	and	and	CCONJ
cet-12812	45	53	carbon	carbon	NOUN
cet-12812	45	54	monoxide	monoxide	NOUN
cet-12812	45	55	(	(	PUNCT
cet-12812	45	56	co	co	NOUN
cet-12812	45	57	)	)	PUNCT
cet-12812	45	58	from	from	ADP
cet-12812	45	59	1	1	NUM
cet-12812	45	60	to	to	PART
cet-12812	45	61	6	6	NUM
cet-12812	45	62	ppm	ppm	NOUN
cet-12812	45	63	.	.	PUNCT
cet-12812	46	1	the	the	DET
cet-12812	46	2	exposure	exposure	NOUN
cet-12812	46	3	time	time	NOUN
cet-12812	46	4	to	to	ADP
cet-12812	46	5	the	the	DET
cet-12812	46	6	gases	gas	NOUN
cet-12812	46	7	was	be	AUX
cet-12812	46	8	2	2	NUM
cet-12812	46	9	minutes	minute	NOUN
cet-12812	46	10	.	.	PUNCT
cet-12812	47	1	the	the	DET
cet-12812	47	2	recovery	recovery	NOUN
cet-12812	47	3	time	time	NOUN
cet-12812	47	4	in	in	ADP
cet-12812	47	5	air	air	NOUN
cet-12812	47	6	,	,	PUNCT
cet-12812	47	7	among	among	ADP
cet-12812	47	8	exposures	exposure	NOUN
cet-12812	47	9	,	,	PUNCT
cet-12812	47	10	was	be	AUX
cet-12812	47	11	20	20	NUM
cet-12812	47	12	minutes	minute	NOUN
cet-12812	47	13	.	.	PUNCT
cet-12812	48	1	figure	figure	VERB
cet-12812	48	2	3	3	NUM
cet-12812	48	3	shows	show	VERB
cet-12812	48	4	the	the	DET
cet-12812	48	5	responses	response	NOUN
cet-12812	48	6	obtained	obtain	VERB
cet-12812	48	7	by	by	ADP
cet-12812	48	8	the	the	DET
cet-12812	48	9	different	different	ADJ
cet-12812	48	10	sensors	sensor	NOUN
cet-12812	48	11	for	for	ADP
cet-12812	48	12	concentrations	concentration	NOUN
cet-12812	48	13	of	of	ADP
cet-12812	48	14	c3h6o	c3h6o	PRON
cet-12812	48	15	,	,	PUNCT
cet-12812	48	16	c6h6	c6h6	VERB
cet-12812	48	17	,	,	PUNCT
cet-12812	48	18	and	and	CCONJ
cet-12812	48	19	nh3	nh3	NUM
cet-12812	48	20	20	20	NUM
cet-12812	48	21	ppm	ppm	NOUN
cet-12812	48	22	,	,	PUNCT
cet-12812	48	23	no2	no2	NOUN
cet-12812	48	24	0.2	0.2	NUM
cet-12812	48	25	ppm	ppm	NOUN
cet-12812	48	26	and	and	CCONJ
cet-12812	48	27	(	(	PUNCT
cet-12812	48	28	co	co	NOUN
cet-12812	48	29	)	)	PUNCT
cet-12812	48	30	2	2	NUM
cet-12812	48	31	ppm	ppm	NOUN
cet-12812	48	32	.	.	PUNCT
cet-12812	49	1	mixtures	mixture	NOUN
cet-12812	49	2	of	of	ADP
cet-12812	49	3	gases	gas	NOUN
cet-12812	49	4	of	of	ADP
cet-12812	49	5	only	only	ADV
cet-12812	49	6	two	two	NUM
cet-12812	49	7	components	component	NOUN
cet-12812	49	8	were	be	AUX
cet-12812	49	9	measured	measure	VERB
cet-12812	49	10	.	.	PUNCT
cet-12812	50	1	no2	no2	NOUN
cet-12812	50	2	with	with	ADP
cet-12812	50	3	each	each	DET
cet-12812	50	4	interfering	interfere	VERB
cet-12812	50	5	gas	gas	NOUN
cet-12812	50	6	,	,	PUNCT
cet-12812	50	7	and	and	CCONJ
cet-12812	50	8	with	with	ADP
cet-12812	50	9	variate	variate	ADJ
cet-12812	50	10	humidity	humidity	NOUN
cet-12812	50	11	(	(	PUNCT
cet-12812	50	12	20	20	NUM
cet-12812	50	13	%	%	NOUN
cet-12812	50	14	and	and	CCONJ
cet-12812	50	15	40	40	NUM
cet-12812	50	16	%	%	NOUN
cet-12812	50	17	of	of	ADP
cet-12812	50	18	relative	relative	ADJ
cet-12812	50	19	humidity	humidity	NOUN
cet-12812	50	20	)	)	PUNCT
cet-12812	50	21	for	for	ADP
cet-12812	50	22	over	over	ADP
cet-12812	50	23	150	150	NUM
cet-12812	50	24	measurements	measurement	NOUN
cet-12812	50	25	.	.	PUNCT
cet-12812	51	1	figure	figure	VERB
cet-12812	51	2	3	3	NUM
cet-12812	51	3	:	:	PUNCT
cet-12812	51	4	response	response	NOUN
cet-12812	51	5	and	and	CCONJ
cet-12812	51	6	recovery	recovery	NOUN
cet-12812	51	7	times	time	NOUN
cet-12812	51	8	of	of	ADP
cet-12812	51	9	a	a	DET
cet-12812	51	10	sh	sh	NOUN
cet-12812	51	11	-	-	PUNCT
cet-12812	51	12	saw	saw	NOUN
cet-12812	51	13	sensor	sensor	NOUN
cet-12812	51	14	array	array	NOUN
cet-12812	51	15	:	:	PUNCT
cet-12812	51	16	go	go	VERB
cet-12812	51	17	,	,	PUNCT
cet-12812	51	18	rgo	rgo	PROPN
cet-12812	51	19	,	,	PUNCT
cet-12812	51	20	mc	mc	PROPN
cet-12812	51	21	and	and	CCONJ
cet-12812	51	22	pda	pda	PROPN
cet-12812	51	23	/	/	SYM
cet-12812	51	24	rgo	rgo	PROPN
cet-12812	51	25	for	for	ADP
cet-12812	51	26	specific	specific	ADJ
cet-12812	51	27	concentrations	concentration	NOUN
cet-12812	51	28	of	of	ADP
cet-12812	51	29	benzene	benzene	NOUN
cet-12812	51	30	,	,	PUNCT
cet-12812	51	31	acetone	acetone	NOUN
cet-12812	51	32	,	,	PUNCT
cet-12812	51	33	ammonia	ammonia	NOUN
cet-12812	51	34	,	,	PUNCT
cet-12812	51	35	carbon	carbon	NOUN
cet-12812	51	36	monoxide	monoxide	NOUN
cet-12812	51	37	and	and	CCONJ
cet-12812	51	38	nitrogen	nitrogen	NOUN
cet-12812	51	39	dioxide	dioxide	NOUN
cet-12812	51	40	.	.	PUNCT
cet-12812	52	1	4	4	X
cet-12812	52	2	.	.	X
cet-12812	52	3	data	datum	NOUN
cet-12812	52	4	analysis	analysis	NOUN
cet-12812	52	5	six	six	NUM
cet-12812	52	6	supervised	supervised	ADJ
cet-12812	52	7	ml	ml	NOUN
cet-12812	52	8	techniques	technique	NOUN
cet-12812	52	9	were	be	AUX
cet-12812	52	10	implemented	implement	VERB
cet-12812	52	11	.	.	PUNCT
cet-12812	53	1	one	one	NUM
cet-12812	53	2	to	to	PART
cet-12812	53	3	discriminate	discriminate	VERB
cet-12812	53	4	the	the	DET
cet-12812	53	5	clustering	clustering	ADJ
cet-12812	53	6	analysis	analysis	NOUN
cet-12812	53	7	and	and	CCONJ
cet-12812	53	8	five	five	NUM
cet-12812	53	9	ones	one	NOUN
cet-12812	53	10	to	to	PART
cet-12812	53	11	validate	validate	VERB
cet-12812	53	12	for	for	ADP
cet-12812	53	13	classification	classification	NOUN
cet-12812	53	14	and	and	CCONJ
cet-12812	53	15	prediction	prediction	NOUN
cet-12812	53	16	purposes	purpose	NOUN
cet-12812	53	17	,	,	PUNCT
cet-12812	53	18	and	and	CCONJ
cet-12812	53	19	in	in	ADP
cet-12812	53	20	this	this	DET
cet-12812	53	21	way	way	NOUN
cet-12812	53	22	to	to	PART
cet-12812	53	23	determine	determine	VERB
cet-12812	53	24	the	the	DET
cet-12812	53	25	most	most	ADV
cet-12812	53	26	efficient	efficient	ADJ
cet-12812	53	27	method	method	NOUN
cet-12812	53	28	.	.	PUNCT
cet-12812	54	1	4.1	4.1	NUM
cet-12812	54	2	linear	linear	ADJ
cet-12812	54	3	discrimination	discrimination	NOUN
cet-12812	54	4	analysis	analysis	NOUN
cet-12812	54	5	(	(	PUNCT
cet-12812	54	6	lda	lda	PROPN
cet-12812	54	7	)	)	PUNCT
cet-12812	54	8	lda	lda	PROPN
cet-12812	54	9	is	be	AUX
cet-12812	54	10	used	use	VERB
cet-12812	54	11	to	to	PART
cet-12812	54	12	maximise	maximise	VERB
cet-12812	54	13	separation	separation	NOUN
cet-12812	54	14	among	among	ADP
cet-12812	54	15	gases	gas	NOUN
cet-12812	54	16	and	and	CCONJ
cet-12812	54	17	minimise	minimise	NOUN
cet-12812	54	18	variance	variance	NOUN
cet-12812	54	19	.	.	PUNCT
cet-12812	55	1	its	its	PRON
cet-12812	55	2	use	use	NOUN
cet-12812	55	3	is	be	AUX
cet-12812	55	4	focused	focus	VERB
cet-12812	55	5	on	on	ADP
cet-12812	55	6	the	the	DET
cet-12812	55	7	type	type	NOUN
cet-12812	55	8	of	of	ADP
cet-12812	55	9	point	point	NOUN
cet-12812	55	10	and/or	and/or	CCONJ
cet-12812	55	11	feature	feature	NOUN
cet-12812	55	12	and/or	and/or	CCONJ
cet-12812	55	13	subspace	subspace	NOUN
cet-12812	55	14	that	that	PRON
cet-12812	55	15	offers	offer	VERB
cet-12812	55	16	the	the	DET
cet-12812	55	17	most	most	ADJ
cet-12812	55	18	discrimination	discrimination	NOUN
cet-12812	55	19	to	to	PART
cet-12812	55	20	separate	separate	VERB
cet-12812	55	21	the	the	DET
cet-12812	55	22	data	datum	NOUN
cet-12812	55	23	.	.	PUNCT
cet-12812	56	1	thus	thus	ADV
cet-12812	56	2	,	,	PUNCT
cet-12812	56	3	lda	lda	PROPN
cet-12812	56	4	reduces	reduce	VERB
cet-12812	56	5	the	the	DET
cet-12812	56	6	degree	degree	NOUN
cet-12812	56	7	of	of	ADP
cet-12812	56	8	over	over	ADV
cet-12812	56	9	-	-	PUNCT
cet-12812	56	10	fitting	fit	VERB
cet-12812	56	11	due	due	ADJ
cet-12812	56	12	to	to	ADP
cet-12812	56	13	dimensionality	dimensionality	NOUN
cet-12812	56	14	in	in	ADP
cet-12812	56	15	non	non	ADJ
cet-12812	56	16	-	-	ADJ
cet-12812	56	17	regularised	regularised	ADJ
cet-12812	56	18	models	model	NOUN
cet-12812	56	19	.	.	PUNCT
cet-12812	57	1	figure	figure	NOUN
cet-12812	57	2	4	4	NUM
cet-12812	57	3	shows	show	VERB
cet-12812	57	4	the	the	DET
cet-12812	57	5	results	result	NOUN
cet-12812	57	6	obtained	obtain	VERB
cet-12812	57	7	for	for	ADP
cet-12812	57	8	the	the	DET
cet-12812	57	9	no2	no2	NOUN
cet-12812	57	10	and	and	CCONJ
cet-12812	57	11	interferings	interfering	NOUN
cet-12812	57	12	.	.	PUNCT
cet-12812	58	1	the	the	DET
cet-12812	58	2	discrimination	discrimination	NOUN
cet-12812	58	3	accuracy	accuracy	NOUN
cet-12812	58	4	was	be	AUX
cet-12812	58	5	90	90	NUM
cet-12812	58	6	%	%	NOUN
cet-12812	58	7	.	.	PUNCT
cet-12812	59	1	75	75	NUM
cet-12812	59	2	figure.4	figure.4	NOUN
cet-12812	59	3	:	:	PUNCT
cet-12812	59	4	lda	lda	PROPN
cet-12812	59	5	reached	reach	VERB
cet-12812	59	6	an	an	DET
cet-12812	59	7	accuracy	accuracy	NOUN
cet-12812	59	8	of	of	ADP
cet-12812	59	9	around	around	ADV
cet-12812	59	10	90	90	NUM
cet-12812	59	11	%	%	NOUN
cet-12812	59	12	for	for	ADP
cet-12812	59	13	no2	no2	NOUN
cet-12812	59	14	and	and	CCONJ
cet-12812	59	15	interferings	interfering	NOUN
cet-12812	59	16	on	on	ADP
cet-12812	59	17	the	the	DET
cet-12812	59	18	given	give	VERB
cet-12812	59	19	test	test	NOUN
cet-12812	59	20	data	datum	NOUN
cet-12812	59	21	and	and	CCONJ
cet-12812	59	22	classes	class	NOUN
cet-12812	59	23	.	.	PUNCT
cet-12812	60	1	4.2	4.2	NUM
cet-12812	60	2	k	k	ADV
cet-12812	60	3	-	-	PUNCT
cet-12812	60	4	nearest	near	ADJ
cet-12812	60	5	neighbor	neighbor	NOUN
cet-12812	60	6	(	(	PUNCT
cet-12812	60	7	knn	knn	PROPN
cet-12812	60	8	)	)	PUNCT
cet-12812	60	9	knn	knn	PROPN
cet-12812	60	10	is	be	AUX
cet-12812	60	11	a	a	DET
cet-12812	60	12	subset	subset	NOUN
cet-12812	60	13	within	within	ADP
cet-12812	60	14	ml	ml	ADP
cet-12812	60	15	techniques	technique	NOUN
cet-12812	60	16	based	base	VERB
cet-12812	60	17	on	on	ADP
cet-12812	60	18	the	the	DET
cet-12812	60	19	biological	biological	ADJ
cet-12812	60	20	neural	neural	ADJ
cet-12812	60	21	networks	network	NOUN
cet-12812	60	22	of	of	ADP
cet-12812	60	23	the	the	DET
cet-12812	60	24	human	human	ADJ
cet-12812	60	25	brain	brain	NOUN
cet-12812	60	26	.	.	PUNCT
cet-12812	61	1	it	it	PRON
cet-12812	61	2	starts	start	VERB
cet-12812	61	3	with	with	ADP
cet-12812	61	4	an	an	DET
cet-12812	61	5	untrained	untrained	ADJ
cet-12812	61	6	network	network	NOUN
cet-12812	61	7	and	and	CCONJ
cet-12812	61	8	establishes	establish	VERB
cet-12812	61	9	a	a	DET
cet-12812	61	10	training	training	NOUN
cet-12812	61	11	pattern	pattern	NOUN
cet-12812	61	12	in	in	ADP
cet-12812	61	13	the	the	DET
cet-12812	61	14	input	input	NOUN
cet-12812	61	15	layer	layer	NOUN
cet-12812	61	16	.	.	PUNCT
cet-12812	62	1	signals	signal	NOUN
cet-12812	62	2	are	be	AUX
cet-12812	62	3	then	then	ADV
cet-12812	62	4	fed	feed	VERB
cet-12812	62	5	through	through	ADP
cet-12812	62	6	the	the	DET
cet-12812	62	7	network	network	NOUN
cet-12812	62	8	and	and	CCONJ
cet-12812	62	9	the	the	DET
cet-12812	62	10	output	output	NOUN
cet-12812	62	11	is	be	AUX
cet-12812	62	12	determined	determine	VERB
cet-12812	62	13	at	at	ADP
cet-12812	62	14	the	the	DET
cet-12812	62	15	last	last	ADJ
cet-12812	62	16	layer	layer	NOUN
cet-12812	62	17	.	.	PUNCT
cet-12812	63	1	this	this	DET
cet-12812	63	2	technique	technique	NOUN
cet-12812	63	3	takes	take	VERB
cet-12812	63	4	many	many	ADJ
cet-12812	63	5	labelled	label	VERB
cet-12812	63	6	points	point	NOUN
cet-12812	63	7	and	and	CCONJ
cet-12812	63	8	uses	use	VERB
cet-12812	63	9	them	they	PRON
cet-12812	63	10	to	to	PART
cet-12812	63	11	learn	learn	VERB
cet-12812	63	12	how	how	SCONJ
cet-12812	63	13	to	to	PART
cet-12812	63	14	label	label	VERB
cet-12812	63	15	other	other	ADJ
cet-12812	63	16	ones	one	NOUN
cet-12812	63	17	.	.	PUNCT
cet-12812	64	1	figure	figure	VERB
cet-12812	64	2	5	5	NUM
cet-12812	64	3	shows	show	VERB
cet-12812	64	4	a	a	DET
cet-12812	64	5	grid	grid	NOUN
cet-12812	64	6	of	of	ADP
cet-12812	64	7	points	point	NOUN
cet-12812	64	8	spanning	span	VERB
cet-12812	64	9	the	the	DET
cet-12812	64	10	entire	entire	ADJ
cet-12812	64	11	space	space	NOUN
cet-12812	64	12	within	within	ADP
cet-12812	64	13	some	some	DET
cet-12812	64	14	bounds	bound	NOUN
cet-12812	64	15	of	of	ADP
cet-12812	64	16	the	the	DET
cet-12812	64	17	sensor	sensor	NOUN
cet-12812	64	18	responses	response	NOUN
cet-12812	64	19	.	.	PUNCT
cet-12812	65	1	knn	knn	PROPN
cet-12812	65	2	correctly	correctly	ADV
cet-12812	65	3	classified	classify	VERB
cet-12812	65	4	gases	gas	NOUN
cet-12812	65	5	with	with	ADP
cet-12812	65	6	an	an	DET
cet-12812	65	7	accuracy	accuracy	NOUN
cet-12812	65	8	of	of	ADP
cet-12812	65	9	95	95	NUM
cet-12812	65	10	%	%	NOUN
cet-12812	65	11	.	.	PUNCT
cet-12812	66	1	however	however	ADV
cet-12812	66	2	,	,	PUNCT
cet-12812	66	3	there	there	PRON
cet-12812	66	4	is	be	VERB
cet-12812	66	5	not	not	PART
cet-12812	66	6	a	a	DET
cet-12812	66	7	clear	clear	ADJ
cet-12812	66	8	classification	classification	NOUN
cet-12812	66	9	for	for	ADP
cet-12812	66	10	acetone	acetone	NOUN
cet-12812	66	11	and	and	CCONJ
cet-12812	66	12	benzene	benzene	NOUN
cet-12812	66	13	over	over	ADP
cet-12812	66	14	a	a	DET
cet-12812	66	15	3	3	NUM
cet-12812	66	16	-	-	PUNCT
cet-12812	66	17	nearest	near	ADJ
cet-12812	66	18	neighbour	neighbour	NOUN
cet-12812	66	19	classifier	classifier	NOUN
cet-12812	66	20	training	training	NOUN
cet-12812	66	21	.	.	PUNCT
cet-12812	67	1	figure	figure	NOUN
cet-12812	67	2	5	5	NUM
cet-12812	67	3	shows	show	VERB
cet-12812	67	4	how	how	SCONJ
cet-12812	67	5	to	to	PART
cet-12812	67	6	plot	plot	VERB
cet-12812	67	7	the	the	DET
cet-12812	67	8	decision	decision	NOUN
cet-12812	67	9	surface	surface	NOUN
cet-12812	67	10	for	for	ADP
cet-12812	67	11	aive	aive	ADJ
cet-12812	67	12	bayes	bayes	NOUN
cet-12812	67	13	and	and	CCONJ
cet-12812	67	14	classification	classification	NOUN
cet-12812	67	15	tree	tree	NOUN
cet-12812	67	16	,	,	PUNCT
cet-12812	67	17	which	which	PRON
cet-12812	67	18	are	be	AUX
cet-12812	67	19	compared	compare	VERB
cet-12812	67	20	with	with	ADP
cet-12812	67	21	lda	lda	PROPN
cet-12812	67	22	and	and	CCONJ
cet-12812	67	23	knn	knn	VERB
cet-12812	67	24	classification	classification	NOUN
cet-12812	67	25	algorithms	algorithm	NOUN
cet-12812	67	26	.	.	PUNCT
cet-12812	68	1	figure	figure	VERB
cet-12812	68	2	5	5	NUM
cet-12812	68	3	:	:	PUNCT
cet-12812	68	4	classification	classification	NOUN
cet-12812	68	5	algorithms	algorithm	NOUN
cet-12812	68	6	generate	generate	VERB
cet-12812	68	7	a	a	DET
cet-12812	68	8	decision	decision	NOUN
cet-12812	68	9	-	-	PUNCT
cet-12812	68	10	making	make	VERB
cet-12812	68	11	rule	rule	NOUN
cet-12812	68	12	visualized	visualize	VERB
cet-12812	68	13	in	in	ADP
cet-12812	68	14	the	the	DET
cet-12812	68	15	form	form	NOUN
cet-12812	68	16	of	of	ADP
cet-12812	68	17	a	a	DET
cet-12812	68	18	decision	decision	NOUN
cet-12812	68	19	surface	surface	NOUN
cet-12812	68	20	.	.	PUNCT
cet-12812	69	1	3	3	NUM
cet-12812	69	2	repeated	repeat	VERB
cet-12812	69	3	measurements	measurement	NOUN
cet-12812	69	4	are	be	AUX
cet-12812	69	5	performed	perform	VERB
cet-12812	69	6	from	from	ADP
cet-12812	69	7	each	each	PRON
cet-12812	69	8	of	of	ADP
cet-12812	69	9	six	six	NUM
cet-12812	69	10	classes	class	NOUN
cet-12812	69	11	.	.	PUNCT
cet-12812	70	1	4.3	4.3	NUM
cet-12812	70	2	logistic	logistic	ADJ
cet-12812	70	3	regression	regression	NOUN
cet-12812	70	4	(	(	PUNCT
cet-12812	70	5	lr	lr	NOUN
cet-12812	70	6	)	)	PUNCT
cet-12812	70	7	lr	lr	PROPN
cet-12812	70	8	achieves	achieve	VERB
cet-12812	70	9	very	very	ADV
cet-12812	70	10	good	good	ADJ
cet-12812	70	11	performances	performance	NOUN
cet-12812	70	12	with	with	ADP
cet-12812	70	13	linearly	linearly	ADV
cet-12812	70	14	two	two	NUM
cet-12812	70	15	separable	separable	ADJ
cet-12812	70	16	classes	class	NOUN
cet-12812	70	17	.	.	PUNCT
cet-12812	71	1	a	a	DET
cet-12812	71	2	79	79	NUM
cet-12812	71	3	%	%	NOUN
cet-12812	71	4	accuracy	accuracy	NOUN
cet-12812	71	5	in	in	ADP
cet-12812	71	6	the	the	DET
cet-12812	71	7	gas	gas	NOUN
cet-12812	71	8	classification	classification	NOUN
cet-12812	71	9	has	have	AUX
cet-12812	71	10	been	be	AUX
cet-12812	71	11	achieved	achieve	VERB
cet-12812	71	12	to	to	PART
cet-12812	71	13	determine	determine	VERB
cet-12812	71	14	if	if	SCONJ
cet-12812	71	15	a	a	DET
cet-12812	71	16	new	new	ADJ
cet-12812	71	17	sample	sample	NOUN
cet-12812	71	18	fits	fit	VERB
cet-12812	71	19	into	into	ADP
cet-12812	71	20	the	the	DET
cet-12812	71	21	interfering	interfere	VERB
cet-12812	71	22	category	category	NOUN
cet-12812	71	23	.	.	PUNCT
cet-12812	72	1	4.4	4.4	NUM
cet-12812	72	2	partial	partial	ADJ
cet-12812	72	3	least	least	ADJ
cet-12812	72	4	squares	square	NOUN
cet-12812	72	5	(	(	PUNCT
cet-12812	72	6	pls	pls	INTJ
cet-12812	72	7	)	)	PUNCT
cet-12812	72	8	pls	pls	INTJ
cet-12812	72	9	regression	regression	NOUN
cet-12812	72	10	is	be	AUX
cet-12812	72	11	a	a	DET
cet-12812	72	12	quick	quick	ADJ
cet-12812	72	13	,	,	PUNCT
cet-12812	72	14	efficient	efficient	ADJ
cet-12812	72	15	,	,	PUNCT
cet-12812	72	16	and	and	CCONJ
cet-12812	72	17	optimal	optimal	ADJ
cet-12812	72	18	method	method	NOUN
cet-12812	72	19	based	base	VERB
cet-12812	72	20	on	on	ADP
cet-12812	72	21	the	the	DET
cet-12812	72	22	standard	standard	ADJ
cet-12812	72	23	mathematical	mathematical	ADJ
cet-12812	72	24	approach	approach	NOUN
cet-12812	72	25	for	for	ADP
cet-12812	72	26	fitting	fit	VERB
cet-12812	72	27	a	a	DET
cet-12812	72	28	linear	linear	ADJ
cet-12812	72	29	regression	regression	NOUN
cet-12812	72	30	.	.	PUNCT
cet-12812	73	1	the	the	DET
cet-12812	73	2	algorithm	algorithm	NOUN
cet-12812	73	3	returns	return	VERB
cet-12812	73	4	the	the	DET
cet-12812	73	5	relative	relative	ADJ
cet-12812	73	6	mean	mean	NOUN
cet-12812	73	7	absolute	absolute	ADJ
cet-12812	73	8	error	error	NOUN
cet-12812	73	9	(	(	PUNCT
cet-12812	73	10	rmae	rmae	NOUN
cet-12812	73	11	)	)	PUNCT
cet-12812	73	12	metric	metric	NOUN
cet-12812	73	13	for	for	ADP
cet-12812	73	14	its	its	PRON
cet-12812	73	15	evaluation	evaluation	NOUN
cet-12812	73	16	and	and	CCONJ
cet-12812	73	17	response	response	NOUN
cet-12812	73	18	loadings	loading	NOUN
cet-12812	73	19	of	of	ADP
cet-12812	73	20	the	the	DET
cet-12812	73	21	gas	gas	NOUN
cet-12812	73	22	responses	response	NOUN
cet-12812	73	23	.	.	PUNCT
cet-12812	74	1	76	76	NUM
cet-12812	74	2	4.5	4.5	NUM
cet-12812	74	3	artificial	artificial	ADJ
cet-12812	74	4	neural	neural	ADJ
cet-12812	74	5	network	network	NOUN
cet-12812	74	6	(	(	PUNCT
cet-12812	74	7	ann	ann	PROPN
cet-12812	74	8	)	)	PUNCT
cet-12812	74	9	ann	ann	PROPN
cet-12812	74	10	is	be	AUX
cet-12812	74	11	a	a	DET
cet-12812	74	12	highly	highly	ADV
cet-12812	74	13	capable	capable	ADJ
cet-12812	74	14	ml	ml	NOUN
cet-12812	74	15	technique	technique	NOUN
cet-12812	74	16	to	to	PART
cet-12812	74	17	perform	perform	VERB
cet-12812	74	18	nonlinear	nonlinear	ADJ
cet-12812	74	19	and	and	CCONJ
cet-12812	74	20	complex	complex	ADJ
cet-12812	74	21	tasks	task	NOUN
cet-12812	74	22	with	with	ADP
cet-12812	74	23	a	a	DET
cet-12812	74	24	high	high	ADJ
cet-12812	74	25	accuracy	accuracy	NOUN
cet-12812	74	26	degree	degree	NOUN
cet-12812	74	27	.	.	PUNCT
cet-12812	75	1	the	the	DET
cet-12812	75	2	anns	anns	NOUN
cet-12812	75	3	were	be	AUX
cet-12812	75	4	structured	structure	VERB
cet-12812	75	5	into	into	ADP
cet-12812	75	6	ensembles	ensemble	NOUN
cet-12812	75	7	consisting	consist	VERB
cet-12812	75	8	of	of	ADP
cet-12812	75	9	10	10	NUM
cet-12812	75	10	feed	feed	NOUN
cet-12812	75	11	-	-	PUNCT
cet-12812	75	12	forward	forward	NOUN
cet-12812	75	13	networks	network	NOUN
cet-12812	75	14	evaluated	evaluate	VERB
cet-12812	75	15	with	with	ADP
cet-12812	75	16	the	the	DET
cet-12812	75	17	same	same	ADJ
cet-12812	75	18	trained	train	VERB
cet-12812	75	19	dataset	dataset	NOUN
cet-12812	75	20	of	of	ADP
cet-12812	75	21	the	the	DET
cet-12812	75	22	normalized	normalize	VERB
cet-12812	75	23	sensor	sensor	NOUN
cet-12812	75	24	responses	response	NOUN
cet-12812	75	25	.	.	PUNCT
cet-12812	76	1	the	the	DET
cet-12812	76	2	output	output	NOUN
cet-12812	76	3	of	of	ADP
cet-12812	76	4	the	the	DET
cet-12812	76	5	ensembles	ensemble	NOUN
cet-12812	76	6	was	be	AUX
cet-12812	76	7	the	the	DET
cet-12812	76	8	robust	robust	ADJ
cet-12812	76	9	mean	mean	NOUN
cet-12812	76	10	(	(	PUNCT
cet-12812	76	11	removing	remove	VERB
cet-12812	76	12	the	the	DET
cet-12812	76	13	lowest	low	ADJ
cet-12812	76	14	and	and	CCONJ
cet-12812	76	15	highest	high	ADJ
cet-12812	76	16	outputs	output	NOUN
cet-12812	76	17	of	of	ADP
cet-12812	76	18	the	the	DET
cet-12812	76	19	prediction	prediction	NOUN
cet-12812	76	20	)	)	PUNCT
cet-12812	76	21	.	.	PUNCT
cet-12812	77	1	the	the	DET
cet-12812	77	2	ann	ann	PROPN
cet-12812	77	3	ensembles	ensemble	NOUN
cet-12812	77	4	make	make	VERB
cet-12812	77	5	the	the	DET
cet-12812	77	6	possibility	possibility	NOUN
cet-12812	77	7	of	of	ADP
cet-12812	77	8	deviations	deviation	NOUN
cet-12812	77	9	is	be	AUX
cet-12812	77	10	less	less	ADV
cet-12812	77	11	likely	likely	ADJ
cet-12812	77	12	fora	fora	ADJ
cet-12812	77	13	robust	robust	ADJ
cet-12812	77	14	prediction	prediction	NOUN
cet-12812	77	15	.	.	PUNCT
cet-12812	78	1	4.6	4.6	NUM
cet-12812	78	2	cascade	cascade	NOUN
cet-12812	78	3	of	of	ADP
cet-12812	78	4	ann	ann	PROPN
cet-12812	78	5	cascade	cascade	NOUN
cet-12812	78	6	of	of	ADP
cet-12812	78	7	ann	ann	PROPN
cet-12812	78	8	is	be	AUX
cet-12812	78	9	a	a	DET
cet-12812	78	10	useful	useful	ADJ
cet-12812	78	11	tool	tool	NOUN
cet-12812	78	12	to	to	PART
cet-12812	78	13	improve	improve	VERB
cet-12812	78	14	the	the	DET
cet-12812	78	15	learning	learning	NOUN
cet-12812	78	16	since	since	SCONJ
cet-12812	78	17	new	new	ADJ
cet-12812	78	18	information	information	NOUN
cet-12812	78	19	is	be	AUX
cet-12812	78	20	added	add	VERB
cet-12812	78	21	to	to	ADP
cet-12812	78	22	an	an	DET
cet-12812	78	23	already	already	ADV
cet-12812	78	24	-	-	PUNCT
cet-12812	78	25	trained	train	VERB
cet-12812	78	26	network	network	NOUN
cet-12812	78	27	.	.	PUNCT
cet-12812	79	1	we	we	PRON
cet-12812	79	2	built	build	VERB
cet-12812	79	3	and	and	CCONJ
cet-12812	79	4	trained	train	VERB
cet-12812	79	5	three	three	NUM
cet-12812	79	6	ann	ann	PROPN
cet-12812	79	7	ensembles	ensemble	NOUN
cet-12812	79	8	(	(	PUNCT
cet-12812	79	9	no2	no2	NOUN
cet-12812	79	10	,	,	PUNCT
cet-12812	79	11	interfering	interfere	VERB
cet-12812	79	12	gases	gas	NOUN
cet-12812	79	13	and	and	CCONJ
cet-12812	79	14	humidity	humidity	NOUN
cet-12812	79	15	)	)	PUNCT
cet-12812	79	16	.	.	PUNCT
cet-12812	80	1	initially	initially	ADV
cet-12812	80	2	,	,	PUNCT
cet-12812	80	3	we	we	PRON
cet-12812	80	4	trained	train	VERB
cet-12812	80	5	two	two	NUM
cet-12812	80	6	ensembles	ensemble	NOUN
cet-12812	80	7	for	for	ADP
cet-12812	80	8	the	the	DET
cet-12812	80	9	no2	no2	NOUN
cet-12812	80	10	and	and	CCONJ
cet-12812	80	11	the	the	DET
cet-12812	80	12	interfering	interfere	VERB
cet-12812	80	13	gases	gas	NOUN
cet-12812	80	14	.	.	PUNCT
cet-12812	81	1	the	the	DET
cet-12812	81	2	process	process	NOUN
cet-12812	81	3	was	be	AUX
cet-12812	81	4	repeated	repeat	VERB
cet-12812	81	5	with	with	ADP
cet-12812	81	6	a	a	DET
cet-12812	81	7	third	third	ADJ
cet-12812	81	8	ensemble	ensemble	ADJ
cet-12812	81	9	for	for	ADP
cet-12812	81	10	only	only	ADV
cet-12812	81	11	no2	no2	NOUN
cet-12812	81	12	.	.	PUNCT
cet-12812	82	1	two	two	NUM
cet-12812	82	2	additional	additional	ADJ
cet-12812	82	3	entries	entry	NOUN
cet-12812	82	4	were	be	AUX
cet-12812	82	5	introduced	introduce	VERB
cet-12812	82	6	into	into	ADP
cet-12812	82	7	this	this	DET
cet-12812	82	8	step	step	NOUN
cet-12812	82	9	,	,	PUNCT
cet-12812	82	10	which	which	PRON
cet-12812	82	11	corresponded	correspond	VERB
cet-12812	82	12	to	to	ADP
cet-12812	82	13	the	the	DET
cet-12812	82	14	results	result	NOUN
cet-12812	82	15	of	of	ADP
cet-12812	82	16	the	the	DET
cet-12812	82	17	two	two	NUM
cet-12812	82	18	gases	gas	NOUN
cet-12812	82	19	previously	previously	ADV
cet-12812	82	20	obtained	obtain	VERB
cet-12812	82	21	.	.	PUNCT
cet-12812	83	1	next	next	ADV
cet-12812	83	2	,	,	PUNCT
cet-12812	83	3	we	we	PRON
cet-12812	83	4	trained	train	VERB
cet-12812	83	5	a	a	DET
cet-12812	83	6	new	new	ADJ
cet-12812	83	7	ensemble	ensemble	NOUN
cet-12812	83	8	with	with	ADP
cet-12812	83	9	the	the	DET
cet-12812	83	10	humidity	humidity	NOUN
cet-12812	83	11	responses	response	NOUN
cet-12812	83	12	.	.	PUNCT
cet-12812	84	1	the	the	DET
cet-12812	84	2	lowest	low	ADJ
cet-12812	84	3	error	error	NOUN
cet-12812	84	4	to	to	PART
cet-12812	84	5	predict	predict	VERB
cet-12812	84	6	concentrations	concentration	NOUN
cet-12812	84	7	was	be	AUX
cet-12812	84	8	the	the	DET
cet-12812	84	9	obtained	obtain	VERB
cet-12812	84	10	one	one	NUM
cet-12812	84	11	from	from	ADP
cet-12812	84	12	this	this	DET
cet-12812	84	13	ensemble	ensemble	NOUN
cet-12812	84	14	.	.	PUNCT
cet-12812	85	1	rmae	rmae	PROPN
cet-12812	85	2	is	be	AUX
cet-12812	85	3	a	a	DET
cet-12812	85	4	valuable	valuable	ADJ
cet-12812	85	5	precision	precision	NOUN
cet-12812	85	6	metric	metric	ADJ
cet-12812	85	7	if	if	SCONJ
cet-12812	85	8	large	large	ADJ
cet-12812	85	9	errors	error	NOUN
cet-12812	85	10	with	with	ADP
cet-12812	85	11	high	high	ADJ
cet-12812	85	12	consequences	consequence	NOUN
cet-12812	85	13	are	be	AUX
cet-12812	85	14	obtained	obtain	VERB
cet-12812	85	15	.	.	PUNCT
cet-12812	86	1	this	this	DET
cet-12812	86	2	score	score	NOUN
cet-12812	86	3	describes	describe	VERB
cet-12812	86	4	the	the	DET
cet-12812	86	5	average	average	NOUN
cet-12812	86	6	of	of	ADP
cet-12812	86	7	the	the	DET
cet-12812	86	8	differences	difference	NOUN
cet-12812	86	9	among	among	ADP
cet-12812	86	10	predicted	predict	VERB
cet-12812	86	11	and	and	CCONJ
cet-12812	86	12	observed	observed	ADJ
cet-12812	86	13	values	value	NOUN
cet-12812	86	14	.	.	PUNCT
cet-12812	87	1	table	table	NOUN
cet-12812	87	2	1	1	NUM
cet-12812	87	3	summarize	summarize	VERB
cet-12812	87	4	the	the	DET
cet-12812	87	5	results	result	NOUN
cet-12812	87	6	of	of	ADP
cet-12812	87	7	this	this	DET
cet-12812	87	8	type	type	NOUN
cet-12812	87	9	of	of	ADP
cet-12812	87	10	error	error	NOUN
cet-12812	87	11	for	for	ADP
cet-12812	87	12	the	the	DET
cet-12812	87	13	newest	new	ADJ
cet-12812	87	14	ml	ml	ADP
cet-12812	87	15	techniques	technique	NOUN
cet-12812	87	16	used	use	VERB
cet-12812	87	17	.	.	PUNCT
cet-12812	88	1	the	the	DET
cet-12812	88	2	ann	ann	PROPN
cet-12812	88	3	technique	technique	NOUN
cet-12812	88	4	showed	show	VERB
cet-12812	88	5	a	a	DET
cet-12812	88	6	clear	clear	ADJ
cet-12812	88	7	improvement	improvement	NOUN
cet-12812	88	8	over	over	ADP
cet-12812	88	9	pls	pls	INTJ
cet-12812	88	10	.	.	PUNCT
cet-12812	89	1	the	the	DET
cet-12812	89	2	ann	ann	PROPN
cet-12812	89	3	cascade	cascade	NOUN
cet-12812	89	4	showed	show	VERB
cet-12812	89	5	many	many	ADJ
cet-12812	89	6	better	well	ADJ
cet-12812	89	7	accuracy	accuracy	NOUN
cet-12812	89	8	levels	level	NOUN
cet-12812	89	9	than	than	ADP
cet-12812	89	10	pls	pls	NOUN
cet-12812	89	11	and	and	CCONJ
cet-12812	89	12	anns	ann	NOUN
cet-12812	89	13	.	.	PUNCT
cet-12812	90	1	figure	figure	NOUN
cet-12812	90	2	6	6	NUM
cet-12812	90	3	shows	show	VERB
cet-12812	90	4	the	the	DET
cet-12812	90	5	results	result	NOUN
cet-12812	90	6	of	of	ADP
cet-12812	90	7	the	the	DET
cet-12812	90	8	ann	ann	PROPN
cet-12812	90	9	cascade	cascade	NOUN
cet-12812	90	10	.	.	PUNCT
cet-12812	91	1	however	however	ADV
cet-12812	91	2	,	,	PUNCT
cet-12812	91	3	the	the	DET
cet-12812	91	4	training	training	NOUN
cet-12812	91	5	and	and	CCONJ
cet-12812	91	6	processing	processing	NOUN
cet-12812	91	7	times	time	NOUN
cet-12812	91	8	increase	increase	VERB
cet-12812	91	9	considerably	considerably	ADV
cet-12812	91	10	(	(	PUNCT
cet-12812	91	11	179	179	NUM
cet-12812	91	12	s	s	NOUN
cet-12812	91	13	)	)	PUNCT
cet-12812	91	14	if	if	SCONJ
cet-12812	91	15	compared	compare	VERB
cet-12812	91	16	with	with	ADP
cet-12812	91	17	pls	pls	PROPN
cet-12812	91	18	(	(	PUNCT
cet-12812	91	19	9	9	NUM
cet-12812	91	20	s	s	NOUN
cet-12812	91	21	)	)	PUNCT
cet-12812	91	22	and	and	CCONJ
cet-12812	91	23	ann	ann	PROPN
cet-12812	91	24	(	(	PUNCT
cet-12812	91	25	16	16	NUM
cet-12812	91	26	s	s	NOUN
cet-12812	91	27	)	)	PUNCT
cet-12812	91	28	as	as	ADP
cet-12812	91	29	the	the	DET
cet-12812	91	30	need	need	NOUN
cet-12812	91	31	to	to	PART
cet-12812	91	32	train	train	VERB
cet-12812	91	33	and	and	CCONJ
cet-12812	91	34	the	the	DET
cet-12812	91	35	evaluation	evaluation	NOUN
cet-12812	91	36	of	of	ADP
cet-12812	91	37	several	several	ADJ
cet-12812	91	38	networks	network	NOUN
cet-12812	91	39	increase	increase	VERB
cet-12812	91	40	their	their	PRON
cet-12812	91	41	complexity	complexity	NOUN
cet-12812	91	42	with	with	ADP
cet-12812	91	43	the	the	DET
cet-12812	91	44	number	number	NOUN
cet-12812	91	45	of	of	ADP
cet-12812	91	46	interferings	interfering	NOUN
cet-12812	91	47	.	.	PUNCT
cet-12812	92	1	table	table	NOUN
cet-12812	92	2	1	1	NUM
cet-12812	92	3	:	:	PUNCT
cet-12812	92	4	metric	metric	NOUN
cet-12812	92	5	of	of	ADP
cet-12812	92	6	the	the	DET
cet-12812	92	7	error	error	NOUN
cet-12812	92	8	prediction	prediction	NOUN
cet-12812	92	9	obtained	obtain	VERB
cet-12812	92	10	for	for	ADP
cet-12812	92	11	the	the	DET
cet-12812	92	12	different	different	ADJ
cet-12812	92	13	gases	gas	NOUN
cet-12812	92	14	measured	measure	VERB
cet-12812	92	15	through	through	ADP
cet-12812	92	16	pls	pls	PROPN
cet-12812	92	17	,	,	PUNCT
cet-12812	92	18	anns	ann	NOUN
cet-12812	92	19	,	,	PUNCT
cet-12812	92	20	and	and	CCONJ
cet-12812	92	21	ann	ann	PROPN
cet-12812	92	22	cascade	cascade	NOUN
cet-12812	92	23	.	.	PUNCT
cet-12812	93	1	rmae	rmae	VERB
cet-12812	93	2	for	for	SCONJ
cet-12812	93	3	no2	no2	PROPN
cet-12812	93	4	(	(	PUNCT
cet-12812	93	5	%	%	INTJ
cet-12812	93	6	)	)	PUNCT
cet-12812	93	7	rmae	rmae	VERB
cet-12812	93	8	for	for	ADP
cet-12812	93	9	interferings	interfering	NOUN
cet-12812	93	10	(	(	PUNCT
cet-12812	93	11	%	%	INTJ
cet-12812	93	12	)	)	PUNCT
cet-12812	93	13	rmae	rmae	VERB
cet-12812	93	14	for	for	ADP
cet-12812	93	15	humidity	humidity	NOUN
cet-12812	93	16	(	(	PUNCT
cet-12812	93	17	%	%	INTJ
cet-12812	93	18	)	)	PUNCT
cet-12812	93	19	time	time	NOUN
cet-12812	93	20	(	(	PUNCT
cet-12812	93	21	s	s	X
cet-12812	93	22	)	)	PUNCT
cet-12812	93	23	pls	pls	NOUN
cet-12812	93	24	13.12	13.12	NUM
cet-12812	93	25	17.90	17.90	NUM
cet-12812	93	26	2.01	2.01	NUM
cet-12812	93	27	9	9	NUM
cet-12812	93	28	ann	ann	PROPN
cet-12812	93	29	9.92	9.92	NUM
cet-12812	93	30	15.15	15.15	NUM
cet-12812	93	31	0.30	0.30	NUM
cet-12812	93	32	16	16	NUM
cet-12812	93	33	cascade	cascade	NOUN
cet-12812	93	34	of	of	ADP
cet-12812	93	35	ann	ann	PROPN
cet-12812	93	36	7.62	7.62	NUM
cet-12812	93	37	11.16	11.16	NUM
cet-12812	93	38	0.04	0.04	NUM
cet-12812	93	39	188	188	NUM
cet-12812	93	40	figure	figure	NOUN
cet-12812	93	41	6	6	NUM
cet-12812	93	42	:	:	PUNCT
cet-12812	93	43	prediction	prediction	NOUN
cet-12812	93	44	of	of	ADP
cet-12812	93	45	the	the	DET
cet-12812	93	46	interferings	interfering	NOUN
cet-12812	93	47	and	and	CCONJ
cet-12812	93	48	no2	no2	NOUN
cet-12812	93	49	using	use	VERB
cet-12812	93	50	the	the	DET
cet-12812	93	51	cascade	cascade	NOUN
cet-12812	93	52	of	of	ADP
cet-12812	93	53	ann	ann	PROPN
cet-12812	93	54	ensemble	ensemble	PROPN
cet-12812	93	55	.	.	PUNCT
cet-12812	94	1	we	we	PRON
cet-12812	94	2	have	have	AUX
cet-12812	94	3	presented	present	VERB
cet-12812	94	4	an	an	DET
cet-12812	94	5	innovative	innovative	ADJ
cet-12812	94	6	neural	neural	ADJ
cet-12812	94	7	network	network	NOUN
cet-12812	94	8	structure	structure	NOUN
cet-12812	94	9	that	that	PRON
cet-12812	94	10	uses	use	VERB
cet-12812	94	11	the	the	DET
cet-12812	94	12	parts	part	NOUN
cet-12812	94	13	that	that	PRON
cet-12812	94	14	are	be	AUX
cet-12812	94	15	easiest	easy	ADJ
cet-12812	94	16	to	to	ADP
cet-12812	94	17	regress	regress	NOUN
cet-12812	94	18	and	and	CCONJ
cet-12812	94	19	to	to	PART
cet-12812	94	20	assist	assist	VERB
cet-12812	94	21	the	the	DET
cet-12812	94	22	prediction	prediction	NOUN
cet-12812	94	23	of	of	ADP
cet-12812	94	24	the	the	DET
cet-12812	94	25	other	other	ADJ
cet-12812	94	26	parts	part	NOUN
cet-12812	94	27	.	.	PUNCT
cet-12812	95	1	since	since	SCONJ
cet-12812	95	2	the	the	DET
cet-12812	95	3	measurement	measurement	NOUN
cet-12812	95	4	space	space	NOUN
cet-12812	95	5	has	have	VERB
cet-12812	95	6	no	no	DET
cet-12812	95	7	priory	priory	NOUN
cet-12812	95	8	information	information	NOUN
cet-12812	95	9	from	from	ADP
cet-12812	95	10	the	the	DET
cet-12812	95	11	combination	combination	NOUN
cet-12812	95	12	of	of	ADP
cet-12812	95	13	gases	gas	NOUN
cet-12812	95	14	,	,	PUNCT
cet-12812	95	15	the	the	DET
cet-12812	95	16	improvement	improvement	NOUN
cet-12812	95	17	must	must	AUX
cet-12812	95	18	be	be	AUX
cet-12812	95	19	due	due	ADJ
cet-12812	95	20	to	to	ADP
cet-12812	95	21	the	the	DET
cet-12812	95	22	added	add	VERB
cet-12812	95	23	information	information	NOUN
cet-12812	95	24	from	from	ADP
cet-12812	95	25	the	the	DET
cet-12812	95	26	prediction	prediction	NOUN
cet-12812	95	27	at	at	ADP
cet-12812	95	28	each	each	DET
cet-12812	95	29	step	step	NOUN
cet-12812	95	30	.	.	PUNCT
cet-12812	96	1	an	an	DET
cet-12812	96	2	increasing	increasing	NOUN
cet-12812	96	3	in	in	ADP
cet-12812	96	4	the	the	DET
cet-12812	96	5	number	number	NOUN
cet-12812	96	6	of	of	ADP
cet-12812	96	7	neurons	neuron	NOUN
cet-12812	96	8	does	do	AUX
cet-12812	96	9	not	not	PART
cet-12812	96	10	optimize	optimize	VERB
cet-12812	96	11	the	the	DET
cet-12812	96	12	result	result	NOUN
cet-12812	96	13	.	.	PUNCT
cet-12812	97	1	in	in	ADP
cet-12812	97	2	addition	addition	NOUN
cet-12812	97	3	,	,	PUNCT
cet-12812	97	4	an	an	DET
cet-12812	97	5	increase	increase	NOUN
cet-12812	97	6	of	of	ADP
cet-12812	97	7	step	step	NOUN
cet-12812	97	8	number	number	NOUN
cet-12812	97	9	in	in	ADP
cet-12812	97	10	the	the	DET
cet-12812	97	11	ann	ann	PROPN
cet-12812	97	12	cascade	cascade	NOUN
cet-12812	97	13	would	would	AUX
cet-12812	97	14	increase	increase	VERB
cet-12812	97	15	the	the	DET
cet-12812	97	16	complexity	complexity	NOUN
cet-12812	97	17	of	of	ADP
cet-12812	97	18	the	the	DET
cet-12812	97	19	system	system	NOUN
cet-12812	97	20	and	and	CCONJ
cet-12812	97	21	would	would	AUX
cet-12812	97	22	make	make	VERB
cet-12812	97	23	a	a	DET
cet-12812	97	24	training	training	NOUN
cet-12812	97	25	more	more	ADV
cet-12812	97	26	complex	complex	ADJ
cet-12812	97	27	and	and	CCONJ
cet-12812	97	28	difficult	difficult	ADJ
cet-12812	97	29	by	by	ADP
cet-12812	97	30	increasing	increase	VERB
cet-12812	97	31	the	the	DET
cet-12812	97	32	processing	processing	NOUN
cet-12812	97	33	time	time	NOUN
cet-12812	97	34	required	require	VERB
cet-12812	97	35	.	.	PUNCT
cet-12812	98	1	by	by	ADP
cet-12812	98	2	contrast	contrast	NOUN
cet-12812	98	3	,	,	PUNCT
cet-12812	98	4	a	a	DET
cet-12812	98	5	higher	high	ADJ
cet-12812	98	6	statistic	statistic	NOUN
cet-12812	98	7	will	will	AUX
cet-12812	98	8	help	help	VERB
cet-12812	98	9	to	to	PART
cet-12812	98	10	reduce	reduce	VERB
cet-12812	98	11	the	the	DET
cet-12812	98	12	prediction	prediction	NOUN
cet-12812	98	13	error	error	NOUN
cet-12812	98	14	.	.	PUNCT
cet-12812	99	1	77	77	NUM
cet-12812	99	2	5	5	NUM
cet-12812	99	3	.	.	PUNCT
cet-12812	99	4	conclusions	conclusion	NOUN
cet-12812	99	5	in	in	ADP
cet-12812	99	6	this	this	DET
cet-12812	99	7	work	work	NOUN
cet-12812	99	8	,	,	PUNCT
cet-12812	99	9	an	an	DET
cet-12812	99	10	electronic	electronic	ADJ
cet-12812	99	11	nose	nose	NOUN
cet-12812	99	12	has	have	AUX
cet-12812	99	13	been	be	AUX
cet-12812	99	14	presented	present	VERB
cet-12812	99	15	to	to	PART
cet-12812	99	16	classify	classify	VERB
cet-12812	99	17	,	,	PUNCT
cet-12812	99	18	discriminate	discriminate	VERB
cet-12812	99	19	no2	no2	NOUN
cet-12812	99	20	with	with	ADP
cet-12812	99	21	respect	respect	NOUN
cet-12812	99	22	to	to	ADP
cet-12812	99	23	interferings	interfering	NOUN
cet-12812	99	24	and	and	CCONJ
cet-12812	99	25	humidity	humidity	NOUN
cet-12812	99	26	.	.	PUNCT
cet-12812	100	1	after	after	SCONJ
cet-12812	100	2	sensors	sensor	NOUN
cet-12812	100	3	’	'	PUNCT
cet-12812	100	4	responses	response	NOUN
cet-12812	100	5	treatment	treatment	NOUN
cet-12812	100	6	,	,	PUNCT
cet-12812	100	7	final	final	ADJ
cet-12812	100	8	results	result	NOUN
cet-12812	100	9	showed	show	VERB
cet-12812	100	10	that	that	SCONJ
cet-12812	100	11	lda	lda	PROPN
cet-12812	100	12	,	,	PUNCT
cet-12812	100	13	knn	knn	PROPN
cet-12812	100	14	are	be	AUX
cet-12812	100	15	excellent	excellent	ADJ
cet-12812	100	16	candidates	candidate	NOUN
cet-12812	100	17	with	with	ADP
cet-12812	100	18	an	an	DET
cet-12812	100	19	accuracy	accuracy	NOUN
cet-12812	100	20	of	of	ADP
cet-12812	100	21	more	more	ADJ
cet-12812	100	22	than	than	ADP
cet-12812	100	23	90	90	NUM
cet-12812	100	24	%	%	NOUN
cet-12812	100	25	.	.	PUNCT
cet-12812	101	1	in	in	ADP
cet-12812	101	2	addition	addition	NOUN
cet-12812	101	3	,	,	PUNCT
cet-12812	101	4	three	three	NUM
cet-12812	101	5	different	different	ADJ
cet-12812	101	6	methods	method	NOUN
cet-12812	101	7	have	have	AUX
cet-12812	101	8	been	be	AUX
cet-12812	101	9	used	use	VERB
cet-12812	101	10	for	for	ADP
cet-12812	101	11	no2	no2	NOUN
cet-12812	101	12	,	,	PUNCT
cet-12812	101	13	interferings	interfering	NOUN
cet-12812	101	14	and	and	CCONJ
cet-12812	101	15	moisture	moisture	NOUN
cet-12812	101	16	prediction	prediction	NOUN
cet-12812	101	17	:	:	PUNCT
cet-12812	101	18	pls	pls	INTJ
cet-12812	101	19	,	,	PUNCT
cet-12812	101	20	ann	ann	PROPN
cet-12812	101	21	and	and	CCONJ
cet-12812	101	22	cascade	cascade	NOUN
cet-12812	101	23	of	of	ADP
cet-12812	101	24	ann	ann	PROPN
cet-12812	101	25	.	.	PUNCT
cet-12812	102	1	all	all	DET
cet-12812	102	2	the	the	DET
cet-12812	102	3	ml	ml	NOUN
cet-12812	102	4	techniques	technique	NOUN
cet-12812	102	5	provided	provide	VERB
cet-12812	102	6	excellent	excellent	ADJ
cet-12812	102	7	results	result	NOUN
cet-12812	102	8	.	.	PUNCT
cet-12812	103	1	for	for	ADP
cet-12812	103	2	instance	instance	NOUN
cet-12812	103	3	,	,	PUNCT
cet-12812	103	4	the	the	DET
cet-12812	103	5	error	error	NOUN
cet-12812	103	6	is	be	AUX
cet-12812	103	7	reduced	reduce	VERB
cet-12812	103	8	in	in	ADP
cet-12812	103	9	the	the	DET
cet-12812	103	10	ann	ann	PROPN
cet-12812	103	11	implementation	implementation	NOUN
cet-12812	103	12	if	if	SCONJ
cet-12812	103	13	compared	compare	VERB
cet-12812	103	14	to	to	ADP
cet-12812	103	15	the	the	DET
cet-12812	103	16	pls	pls	NOUN
cet-12812	103	17	technique	technique	NOUN
cet-12812	103	18	.	.	PUNCT
cet-12812	104	1	the	the	DET
cet-12812	104	2	cascade	cascade	NOUN
cet-12812	104	3	of	of	ADP
cet-12812	104	4	ann	ann	PROPN
cet-12812	104	5	ensemble	ensemble	PROPN
cet-12812	104	6	can	can	AUX
cet-12812	104	7	improve	improve	VERB
cet-12812	104	8	the	the	DET
cet-12812	104	9	prediction	prediction	NOUN
cet-12812	104	10	error	error	NOUN
cet-12812	104	11	by	by	ADP
cet-12812	104	12	more	more	ADJ
cet-12812	104	13	than	than	ADP
cet-12812	104	14	50	50	NUM
cet-12812	104	15	%	%	NOUN
cet-12812	104	16	for	for	ADP
cet-12812	104	17	no2	no2	NOUN
cet-12812	104	18	and	and	CCONJ
cet-12812	104	19	interferings	interfering	NOUN
cet-12812	104	20	compared	compare	VERB
cet-12812	104	21	to	to	ADP
cet-12812	104	22	the	the	DET
cet-12812	104	23	results	result	NOUN
cet-12812	104	24	obtained	obtain	VERB
cet-12812	104	25	for	for	ADP
cet-12812	104	26	a	a	DET
cet-12812	104	27	simple	simple	ADJ
cet-12812	104	28	ann	ann	PROPN
cet-12812	104	29	network	network	NOUN
cet-12812	104	30	.	.	PUNCT
cet-12812	105	1	this	this	PRON
cet-12812	105	2	is	be	AUX
cet-12812	105	3	probably	probably	ADV
cet-12812	105	4	since	since	SCONJ
cet-12812	105	5	the	the	DET
cet-12812	105	6	networks	network	NOUN
cet-12812	105	7	optimize	optimize	VERB
cet-12812	105	8	their	their	PRON
cet-12812	105	9	results	result	NOUN
cet-12812	105	10	more	more	ADV
cet-12812	105	11	efficiently	efficiently	ADV
cet-12812	105	12	with	with	ADP
cet-12812	105	13	only	only	ADV
cet-12812	105	14	one	one	NUM
cet-12812	105	15	class	class	NOUN
cet-12812	105	16	at	at	ADP
cet-12812	105	17	a	a	DET
cet-12812	105	18	time	time	NOUN
cet-12812	105	19	due	due	ADP
cet-12812	105	20	to	to	ADP
cet-12812	105	21	a	a	DET
cet-12812	105	22	smaller	small	ADJ
cet-12812	105	23	number	number	NOUN
cet-12812	105	24	of	of	ADP
cet-12812	105	25	possible	possible	ADJ
cet-12812	105	26	combinations	combination	NOUN
cet-12812	105	27	.	.	PUNCT
cet-12812	106	1	once	once	SCONJ
cet-12812	106	2	gases	gas	NOUN
cet-12812	106	3	exhibit	exhibit	VERB
cet-12812	106	4	a	a	DET
cet-12812	106	5	well	well	ADV
cet-12812	106	6	-	-	PUNCT
cet-12812	106	7	differentiated	differentiate	VERB
cet-12812	106	8	response	response	NOUN
cet-12812	106	9	and	and	CCONJ
cet-12812	106	10	their	their	PRON
cet-12812	106	11	prediction	prediction	NOUN
cet-12812	106	12	is	be	AUX
cet-12812	106	13	calculated	calculate	VERB
cet-12812	106	14	,	,	PUNCT
cet-12812	106	15	this	this	DET
cet-12812	106	16	information	information	NOUN
cet-12812	106	17	is	be	AUX
cet-12812	106	18	better	well	ADV
cet-12812	106	19	incorporated	incorporate	VERB
cet-12812	106	20	into	into	ADP
cet-12812	106	21	the	the	DET
cet-12812	106	22	network	network	NOUN
cet-12812	106	23	as	as	ADP
cet-12812	106	24	an	an	DET
cet-12812	106	25	independent	independent	ADJ
cet-12812	106	26	input	input	NOUN
cet-12812	106	27	.	.	PUNCT
cet-12812	107	1	as	as	ADP
cet-12812	107	2	a	a	DET
cet-12812	107	3	result	result	NOUN
cet-12812	107	4	,	,	PUNCT
cet-12812	107	5	lda	lda	PROPN
cet-12812	107	6	is	be	AUX
cet-12812	107	7	an	an	DET
cet-12812	107	8	excellent	excellent	ADJ
cet-12812	107	9	method	method	NOUN
cet-12812	107	10	for	for	ADP
cet-12812	107	11	discriminating	discriminate	VERB
cet-12812	107	12	no2	no2	NOUN
cet-12812	107	13	and	and	CCONJ
cet-12812	107	14	the	the	DET
cet-12812	107	15	cascade	cascade	NOUN
cet-12812	107	16	of	of	ADP
cet-12812	107	17	ann	ann	PROPN
cet-12812	107	18	ensemble	ensemble	PROPN
cet-12812	107	19	is	be	AUX
cet-12812	107	20	a	a	DET
cet-12812	107	21	novel	novel	ADJ
cet-12812	107	22	method	method	NOUN
cet-12812	107	23	for	for	ADP
cet-12812	107	24	gas	gas	NOUN
cet-12812	107	25	prediction	prediction	NOUN
cet-12812	107	26	through	through	ADP
cet-12812	107	27	a	a	DET
cet-12812	107	28	portable	portable	ADJ
cet-12812	107	29	electronic	electronic	ADJ
cet-12812	107	30	nose	nose	NOUN
cet-12812	107	31	.	.	PUNCT
cet-12812	108	1	acknowledgments	acknowledgment	NOUN
cet-12812	108	2	funding	funding	PROPN
cet-12812	108	3	:	:	PUNCT
cet-12812	108	4	spanish	spanish	PROPN
cet-12812	108	5	ministry	ministry	PROPN
cet-12812	108	6	of	of	ADP
cet-12812	108	7	science	science	NOUN
cet-12812	108	8	and	and	CCONJ
cet-12812	108	9	innovation	innovation	NOUN
cet-12812	108	10	for	for	ADP
cet-12812	108	11	financing	finance	VERB
cet-12812	108	12	the	the	DET
cet-12812	108	13	project	project	NOUN
cet-12812	108	14	rti2018	rti2018	NOUN
cet-12812	108	15	-	-	PUNCT
cet-12812	108	16	095856	095856	NUM
cet-12812	108	17	-	-	PUNCT
cet-12812	108	18	b	b	NOUN
cet-12812	108	19	-	-	PUNCT
cet-12812	108	20	c22	c22	NOUN
cet-12812	108	21	(	(	PUNCT
cet-12812	108	22	aei	aei	X
cet-12812	108	23	/	/	SYM
cet-12812	108	24	feder	feder	PROPN
cet-12812	108	25	)	)	PUNCT
cet-12812	108	26	.	.	PUNCT
cet-12812	109	1	references	reference	NOUN
cet-12812	109	2	aleixandre	aleixandre	PROPN
cet-12812	109	3	m.	m.	NOUN
cet-12812	109	4	,	,	PUNCT
cet-12812	109	5	matatagui	matatagui	PROPN
cet-12812	109	6	d.	d.	PROPN
cet-12812	109	7	,	,	PUNCT
cet-12812	109	8	santos	santos	PROPN
cet-12812	109	9	j.	j.	PROPN
cet-12812	109	10	p.	p.	PROPN
cet-12812	109	11	,	,	PUNCT
cet-12812	109	12	horrillo	horrillo	PROPN
cet-12812	109	13	m.	m.	NOUN
cet-12812	109	14	carmen	carman	NOUN
cet-12812	109	15	.	.	PUNCT
cet-12812	109	16	,	,	PUNCT
cet-12812	109	17	2014	2014	NUM
cet-12812	109	18	,	,	PUNCT
cet-12812	109	19	cascade	cascade	NOUN
cet-12812	109	20	of	of	ADP
cet-12812	109	21	artificial	artificial	ADJ
cet-12812	109	22	neural	neural	ADJ
cet-12812	109	23	network	network	NOUN
cet-12812	109	24	committees	committee	NOUN
cet-12812	109	25	for	for	ADP
cet-12812	109	26	the	the	DET
cet-12812	109	27	calibration	calibration	NOUN
cet-12812	109	28	of	of	ADP
cet-12812	109	29	small	small	ADJ
cet-12812	109	30	gas	gas	NOUN
cet-12812	109	31	commercial	commercial	ADJ
cet-12812	109	32	sensors	sensor	NOUN
cet-12812	109	33	for	for	ADP
cet-12812	109	34	no2	no2	PROPN
cet-12812	109	35	,	,	PUNCT
cet-12812	109	36	nh3	nh3	NOUN
cet-12812	109	37	and	and	CCONJ
cet-12812	109	38	co	co	NOUN
cet-12812	109	39	,	,	PUNCT
cet-12812	109	40	sensors	sensor	NOUN
cet-12812	109	41	,	,	PUNCT
cet-12812	109	42	ieee	ieee	NOUN
cet-12812	109	43	,	,	PUNCT
cet-12812	109	44	pp	pp	ADJ
cet-12812	109	45	.	.	PUNCT
cet-12812	110	1	1803	1803	NUM
cet-12812	110	2	-	-	SYM
cet-12812	110	3	1806	1806	NUM
cet-12812	110	4	,	,	PUNCT
cet-12812	110	5	doi	doi	NOUN
cet-12812	110	6	:	:	PUNCT
cet-12812	110	7	10.1109	10.1109	NUM
cet-12812	110	8	/	/	SYM
cet-12812	110	9	icsens.2014.6985376	icsens.2014.6985376	NOUN
cet-12812	110	10	.	.	PUNCT
cet-12812	111	1	covington	covington	PROPN
cet-12812	111	2	a.	a.	PROPN
cet-12812	111	3	,	,	PUNCT
cet-12812	111	4	marco	marco	PROPN
cet-12812	111	5	s.	s.	PROPN
cet-12812	111	6	,	,	PUNCT
cet-12812	111	7	persaud	persaud	PROPN
cet-12812	111	8	k.	k.	PROPN
cet-12812	111	9	c.	c.	PROPN
cet-12812	111	10	,	,	PUNCT
cet-12812	111	11	schiffman	schiffman	NOUN
cet-12812	111	12	s.	s.	PROPN
cet-12812	111	13	s.	s.	PROPN
cet-12812	111	14	,	,	PUNCT
cet-12812	111	15	nagle	nagle	PROPN
cet-12812	111	16	h	h	PROPN
cet-12812	111	17	t.	t.	PROPN
cet-12812	111	18	,	,	PUNCT
cet-12812	111	19	2021	2021	NUM
cet-12812	111	20	,	,	PUNCT
cet-12812	111	21	artificial	artificial	ADJ
cet-12812	111	22	olfaction	olfaction	NOUN
cet-12812	111	23	in	in	ADP
cet-12812	111	24	the	the	DET
cet-12812	111	25	21st	21st	ADJ
cet-12812	111	26	century	century	NOUN
cet-12812	111	27	,	,	PUNCT
cet-12812	111	28	in	in	ADP
cet-12812	111	29	ieee	ieee	NOUN
cet-12812	111	30	sensors	sensor	NOUN
cet-12812	111	31	journal	journal	PROPN
cet-12812	111	32	,	,	PUNCT
cet-12812	111	33	vol	vol	NOUN
cet-12812	111	34	.	.	PROPN
cet-12812	111	35	21	21	NUM
cet-12812	111	36	,	,	PUNCT
cet-12812	111	37	no	no	INTJ
cet-12812	111	38	.	.	NOUN
cet-12812	111	39	11	11	NUM
cet-12812	111	40	,	,	PUNCT
cet-12812	111	41	pp	pp	ADJ
cet-12812	111	42	.	.	PUNCT
cet-12812	112	1	12969	12969	NUM
cet-12812	112	2	-	-	SYM
cet-12812	112	3	12990	12990	NUM
cet-12812	112	4	,	,	PUNCT
cet-12812	112	5	doi	doi	NOUN
cet-12812	112	6	:	:	PUNCT
cet-12812	112	7	10.1109	10.1109	NUM
cet-12812	112	8	/	/	SYM
cet-12812	112	9	jsen.2021.307641	jsen.2021.307641	NOUN
cet-12812	112	10	.	.	PUNCT
cet-12812	112	11	de	de	PROPN
cet-12812	112	12	la	la	PROPN
cet-12812	112	13	o	o	PROPN
cet-12812	112	14	-	-	PROPN
cet-12812	112	15	cuevas	cuevas	PROPN
cet-12812	112	16	e.	e.	PROPN
cet-12812	112	17	,	,	PUNCT
cet-12812	112	18	alvarez	alvarez	PROPN
cet-12812	112	19	-	-	PUNCT
cet-12812	112	20	venicio	venicio	PROPN
cet-12812	113	1	v.	v.	PROPN
cet-12812	113	2	,	,	PUNCT
cet-12812	113	3	badillo	badillo	NOUN
cet-12812	113	4	-	-	PUNCT
cet-12812	113	5	ramírez	ramírez	PROPN
cet-12812	113	6	i.	i.	NOUN
cet-12812	113	7	,	,	PUNCT
cet-12812	113	8	islas	islas	PROPN
cet-12812	113	9	s.	s.	PROPN
cet-12812	113	10	r.	r.	PROPN
cet-12812	113	11	,	,	PUNCT
cet-12812	113	12	del	del	PROPN
cet-12812	113	13	pilar	pilar	PROPN
cet-12812	113	14	carreón	carreón	PROPN
cet-12812	113	15	-	-	PUNCT
cet-12812	113	16	castro	castro	PROPN
cet-12812	113	17	m.	m.	NOUN
cet-12812	113	18	,	,	PUNCT
cet-12812	113	19	saniger	saniger	PROPN
cet-12812	113	20	j.	j.	PROPN
cet-12812	113	21	m.	m.	PROPN
cet-12812	113	22	,	,	PUNCT
cet-12812	113	23	2021	2021	NUM
cet-12812	113	24	,	,	PUNCT
cet-12812	113	25	graphenic	graphenic	ADJ
cet-12812	113	26	substrates	substrate	NOUN
cet-12812	113	27	as	as	ADP
cet-12812	113	28	modifiers	modifier	NOUN
cet-12812	113	29	of	of	ADP
cet-12812	113	30	the	the	DET
cet-12812	113	31	emission	emission	NOUN
cet-12812	113	32	and	and	CCONJ
cet-12812	113	33	vibrational	vibrational	ADJ
cet-12812	113	34	responses	response	NOUN
cet-12812	113	35	of	of	ADP
cet-12812	113	36	interacting	interact	VERB
cet-12812	113	37	molecules	molecule	NOUN
cet-12812	113	38	:	:	PUNCT
cet-12812	113	39	the	the	DET
cet-12812	113	40	case	case	NOUN
cet-12812	113	41	of	of	ADP
cet-12812	113	42	bodipy	bodipy	NOUN
cet-12812	113	43	dyes	dye	NOUN
cet-12812	113	44	.	.	PUNCT
cet-12812	114	1	spectrochimica	spectrochimica	PROPN
cet-12812	114	2	acta	acta	PROPN
cet-12812	114	3	part	part	PROPN
cet-12812	114	4	a	a	DET
cet-12812	114	5	:	:	PUNCT
cet-12812	114	6	molecular	molecular	ADJ
cet-12812	114	7	and	and	CCONJ
cet-12812	114	8	biomolecular	biomolecular	ADJ
cet-12812	114	9	spectroscopy	spectroscopy	NOUN
cet-12812	114	10	,	,	PUNCT
cet-12812	114	11	246	246	NUM
cet-12812	114	12	,	,	PUNCT
cet-12812	114	13	119020	119020	NUM
cet-12812	114	14	.	.	PUNCT
cet-12812	115	1	gutierrez	gutierrez	PROPN
cet-12812	115	2	-	-	PUNCT
cet-12812	115	3	osuna	osuna	PROPN
cet-12812	115	4	r.	r.	PROPN
cet-12812	115	5	,	,	PUNCT
cet-12812	115	6	2002	2002	NUM
cet-12812	115	7	,	,	PUNCT
cet-12812	115	8	pattern	pattern	VERB
cet-12812	115	9	analysis	analysis	NOUN
cet-12812	115	10	for	for	ADP
cet-12812	115	11	machine	machine	NOUN
cet-12812	115	12	olfaction	olfaction	NOUN
cet-12812	115	13	:	:	PUNCT
cet-12812	115	14	a	a	DET
cet-12812	115	15	review	review	NOUN
cet-12812	115	16	.	.	PUNCT
cet-12812	116	1	ieee	ieee	NOUN
cet-12812	116	2	sensors	sensor	NOUN
cet-12812	116	3	journal	journal	PROPN
cet-12812	116	4	,	,	PUNCT
cet-12812	116	5	2(3	2(3	NUM
cet-12812	116	6	)	)	PUNCT
cet-12812	116	7	,	,	PUNCT
cet-12812	116	8	189202	189202	NUM
cet-12812	116	9	.	.	PUNCT
cet-12812	117	1	matatagui	matatagui	PROPN
cet-12812	117	2	d.	d.	PROPN
cet-12812	117	3	,	,	PUNCT
cet-12812	117	4	bahos	bahos	PROPN
cet-12812	117	5	f.	f.	PROPN
cet-12812	117	6	a.	a.	PROPN
cet-12812	117	7	,	,	PUNCT
cet-12812	117	8	gràcia	gràcia	PROPN
cet-12812	117	9	i.	i.	PROPN
cet-12812	117	10	,	,	PUNCT
cet-12812	117	11	horrillo	horrillo	PROPN
cet-12812	117	12	m.	m.	NOUN
cet-12812	117	13	carmen	carman	NOUN
cet-12812	117	14	.	.	PUNCT
cet-12812	117	15	,	,	PUNCT
cet-12812	117	16	2019	2019	NUM
cet-12812	117	17	.	.	PUNCT
cet-12812	118	1	portable	portable	ADJ
cet-12812	118	2	low	low	ADJ
cet-12812	118	3	-	-	PUNCT
cet-12812	118	4	cost	cost	NOUN
cet-12812	118	5	electronic	electronic	ADJ
cet-12812	118	6	nose	nose	NOUN
cet-12812	118	7	based	base	VERB
cet-12812	118	8	on	on	ADP
cet-12812	118	9	surface	surface	NOUN
cet-12812	118	10	acoustic	acoustic	ADJ
cet-12812	118	11	wave	wave	NOUN
cet-12812	118	12	sensors	sensor	NOUN
cet-12812	118	13	for	for	ADP
cet-12812	118	14	the	the	DET
cet-12812	118	15	detection	detection	NOUN
cet-12812	118	16	of	of	ADP
cet-12812	118	17	btx	btx	PROPN
cet-12812	118	18	vapors	vapor	NOUN
cet-12812	118	19	in	in	ADP
cet-12812	118	20	air	air	NOUN
cet-12812	118	21	.	.	PUNCT
cet-12812	119	1	sensors	sensor	NOUN
cet-12812	119	2	,	,	PUNCT
cet-12812	119	3	19(24	19(24	PROPN
cet-12812	119	4	)	)	PUNCT
cet-12812	119	5	,	,	PUNCT
cet-12812	119	6	5406	5406	NUM
cet-12812	119	7	.	.	PUNCT
cet-12812	120	1	jha	jha	PROPN
cet-12812	120	2	s.	s.	PROPN
cet-12812	120	3	k.	k.	PROPN
cet-12812	120	4	,	,	PUNCT
cet-12812	120	5	yadava	yadava	PROPN
cet-12812	120	6	r.	r.	PROPN
cet-12812	120	7	d.	d.	PROPN
cet-12812	120	8	s.	s.	PROPN
cet-12812	120	9	,	,	PUNCT
cet-12812	120	10	2009	2009	NUM
cet-12812	120	11	,	,	PUNCT
cet-12812	120	12	preprocessing	preprocesse	VERB
cet-12812	120	13	of	of	ADP
cet-12812	120	14	saw	see	VERB
cet-12812	120	15	sensor	sensor	NOUN
cet-12812	120	16	array	array	VERB
cet-12812	120	17	data	datum	NOUN
cet-12812	120	18	and	and	CCONJ
cet-12812	120	19	pattern	pattern	NOUN
cet-12812	120	20	recognition	recognition	NOUN
cet-12812	120	21	,	,	PUNCT
cet-12812	120	22	in	in	ADP
cet-12812	120	23	ieee	ieee	NOUN
cet-12812	120	24	sensors	sensor	NOUN
cet-12812	120	25	journal	journal	PROPN
cet-12812	120	26	,	,	PUNCT
cet-12812	120	27	vol	vol	NOUN
cet-12812	120	28	.	.	PROPN
cet-12812	120	29	9	9	NUM
cet-12812	120	30	,	,	PUNCT
cet-12812	120	31	no	no	INTJ
cet-12812	120	32	.	.	NOUN
cet-12812	120	33	10	10	NUM
cet-12812	120	34	,	,	PUNCT
cet-12812	120	35	pp	pp	ADJ
cet-12812	120	36	.	.	PUNCT
cet-12812	121	1	1202	1202	NUM
cet-12812	121	2	-	-	PUNCT
cet-12812	121	3	1208	1208	NUM
cet-12812	121	4	.	.	PUNCT
cet-12812	122	1	santos	santos	PROPN
cet-12812	122	2	,	,	PUNCT
cet-12812	122	3	j.	j.	PROPN
cet-12812	122	4	p.	p.	PROPN
cet-12812	122	5	,	,	PUNCT
cet-12812	122	6	aleixandre	aleixandre	PROPN
cet-12812	122	7	,	,	PUNCT
cet-12812	122	8	m.	m.	NOUN
cet-12812	122	9	,	,	PUNCT
cet-12812	122	10	&	&	CCONJ
cet-12812	122	11	cruz	cruz	PROPN
cet-12812	122	12	,	,	PUNCT
cet-12812	122	13	c.	c.	PROPN
cet-12812	122	14	,	,	PUNCT
cet-12812	122	15	2012	2012	NUM
cet-12812	122	16	.	.	PUNCT
cet-12812	123	1	hand	hand	NOUN
cet-12812	123	2	held	hold	VERB
cet-12812	123	3	electronic	electronic	ADJ
cet-12812	123	4	nose	nose	NOUN
cet-12812	123	5	for	for	ADP
cet-12812	123	6	voc	voc	NOUN
cet-12812	123	7	detection	detection	NOUN
cet-12812	123	8	.	.	PUNCT
cet-12812	124	1	chemical	chemical	ADJ
cet-12812	124	2	engineering	engineering	NOUN
cet-12812	124	3	,	,	PUNCT
cet-12812	124	4	30	30	NUM
cet-12812	124	5	.	.	PUNCT
cet-12812	125	1	yaqoob	yaqoob	NOUN
cet-12812	125	2	u.	u.	PROPN
cet-12812	125	3	,	,	PUNCT
cet-12812	125	4	younis	younis	PROPN
cet-12812	125	5	m.	m.	PROPN
cet-12812	125	6	i.	i.	PROPN
cet-12812	125	7	,	,	PUNCT
cet-12812	125	8	2021	2021	NUM
cet-12812	125	9	,	,	PUNCT
cet-12812	125	10	chemical	chemical	ADJ
cet-12812	125	11	gas	gas	NOUN
cet-12812	125	12	sensors	sensor	NOUN
cet-12812	125	13	:	:	PUNCT
cet-12812	125	14	recent	recent	ADJ
cet-12812	125	15	developments	development	NOUN
cet-12812	125	16	,	,	PUNCT
cet-12812	125	17	challenges	challenge	NOUN
cet-12812	125	18	,	,	PUNCT
cet-12812	125	19	and	and	CCONJ
cet-12812	125	20	the	the	DET
cet-12812	125	21	potential	potential	NOUN
cet-12812	125	22	of	of	ADP
cet-12812	125	23	machine	machine	NOUN
cet-12812	125	24	learning	learning	NOUN
cet-12812	125	25	—	—	PUNCT
cet-12812	125	26	a	a	DET
cet-12812	125	27	review	review	NOUN
cet-12812	125	28	.	.	PUNCT
cet-12812	126	1	sensors	sensor	NOUN
cet-12812	126	2	,	,	PUNCT
cet-12812	126	3	21(8	21(8	NUM
cet-12812	126	4	)	)	PUNCT
cet-12812	126	5	,	,	PUNCT
cet-12812	126	6	2877	2877	NUM
cet-12812	126	7	.	.	PUNCT
cet-12812	127	1	78	78	NUM
cet-12812	127	2	18cruz.pdf	18cruz.pdf	NUM
cet-12812	127	3	an	an	DET
cet-12812	127	4	artificial	artificial	ADJ
cet-12812	127	5	olfactory	olfactory	ADJ
cet-12812	127	6	system	system	NOUN
cet-12812	127	7	for	for	ADP
cet-12812	127	8	toxic	toxic	ADJ
cet-12812	127	9	compounds	compound	NOUN
cet-12812	127	10	classification	classification	NOUN
cet-12812	127	11	using	use	VERB
cet-12812	127	12	machine	machine	NOUN
cet-12812	127	13	learning	learn	VERB
cet-12812	127	14	techniques	technique	NOUN