id	sid	tid	token	lemma	pos
cet-12815	1	1	cet	cet	PROPN
cet-12815	1	2	-	-	ADJ
cet-12815	1	3	vol95	vol95	PROPN
cet-12815	1	4	doi	doi	NOUN
cet-12815	1	5	:	:	PUNCT
cet-12815	1	6	10.3303	10.3303	NUM
cet-12815	1	7	/	/	SYM
cet-12815	1	8	cet2295016	cet2295016	PROPN
cet-12815	1	9	paper	paper	NOUN
cet-12815	1	10	received	receive	VERB
cet-12815	1	11	:	:	PUNCT
cet-12815	1	12	16	16	NUM
cet-12815	1	13	march	march	NOUN
cet-12815	1	14	2022	2022	NUM
cet-12815	1	15	;	;	PUNCT
cet-12815	1	16	revised	revise	VERB
cet-12815	1	17	:	:	PUNCT
cet-12815	1	18	6	6	NUM
cet-12815	1	19	may	may	PROPN
cet-12815	1	20	2022	2022	NUM
cet-12815	1	21	;	;	PUNCT
cet-12815	1	22	accepted	accept	VERB
cet-12815	1	23	:	:	PUNCT
cet-12815	1	24	21	21	NUM
cet-12815	1	25	june	june	PROPN
cet-12815	1	26	2022	2022	NUM
cet-12815	1	27	please	please	INTJ
cet-12815	1	28	cite	cite	VERB
cet-12815	1	29	this	this	DET
cet-12815	1	30	article	article	NOUN
cet-12815	1	31	as	as	ADP
cet-12815	1	32	:	:	PUNCT
cet-12815	1	33	galang	galang	PROPN
cet-12815	1	34	m.k.g	m.k.g	PROPN
cet-12815	1	35	.	.	PROPN
cet-12815	1	36	,	,	PUNCT
cet-12815	1	37	oliva	oliva	PROPN
cet-12815	1	38	g.	g.	PROPN
cet-12815	1	39	,	,	PUNCT
cet-12815	1	40	belgiorno	belgiorno	PROPN
cet-12815	1	41	v.	v.	PROPN
cet-12815	1	42	,	,	PUNCT
cet-12815	1	43	naddeo	naddeo	PROPN
cet-12815	1	44	v.	v.	PROPN
cet-12815	1	45	,	,	PUNCT
cet-12815	1	46	zarra	zarra	PROPN
cet-12815	1	47	t.	t.	PROPN
cet-12815	1	48	,	,	PUNCT
cet-12815	1	49	2022	2022	NUM
cet-12815	1	50	,	,	PUNCT
cet-12815	1	51	instrumental	instrumental	ADJ
cet-12815	1	52	odour	odour	NOUN
cet-12815	1	53	monitoring	monitoring	NOUN
cet-12815	1	54	system	system	NOUN
cet-12815	1	55	application	application	NOUN
cet-12815	1	56	in	in	ADP
cet-12815	1	57	complex	complex	ADJ
cet-12815	1	58	refinery	refinery	NOUN
cet-12815	1	59	plant	plant	NOUN
cet-12815	1	60	:	:	PUNCT
cet-12815	1	61	comparison	comparison	NOUN
cet-12815	1	62	of	of	ADP
cet-12815	1	63	different	different	ADJ
cet-12815	1	64	pattern	pattern	NOUN
cet-12815	1	65	recognition	recognition	NOUN
cet-12815	1	66	algorithms	algorithm	NOUN
cet-12815	1	67	and	and	CCONJ
cet-12815	1	68	data	datum	NOUN
cet-12815	1	69	features	feature	NOUN
cet-12815	1	70	,	,	PUNCT
cet-12815	1	71	chemical	chemical	ADJ
cet-12815	1	72	engineering	engineering	NOUN
cet-12815	1	73	transactions	transaction	NOUN
cet-12815	1	74	,	,	PUNCT
cet-12815	1	75	95	95	NUM
cet-12815	1	76	,	,	PUNCT
cet-12815	1	77	91	91	NUM
cet-12815	1	78	-	-	SYM
cet-12815	1	79	96	96	NUM
cet-12815	1	80	doi:10.3303	doi:10.3303	NOUN
cet-12815	1	81	/	/	SYM
cet-12815	1	82	cet2295016	cet2295016	PROPN
cet-12815	1	83	chemical	chemical	PROPN
cet-12815	1	84	engineering	engineering	NOUN
cet-12815	1	85	transactions	transaction	NOUN
cet-12815	1	86	vol	vol	NOUN
cet-12815	1	87	.	.	PROPN
cet-12815	2	1	95	95	NUM
cet-12815	2	2	,	,	PUNCT
cet-12815	2	3	2022	2022	NUM
cet-12815	2	4	a	a	DET
cet-12815	2	5	publication	publication	NOUN
cet-12815	2	6	of	of	ADP
cet-12815	2	7	the	the	DET
cet-12815	2	8	italian	italian	ADJ
cet-12815	2	9	association	association	NOUN
cet-12815	2	10	of	of	ADP
cet-12815	2	11	chemical	chemical	PROPN
cet-12815	2	12	engineering	engineering	NOUN
cet-12815	2	13	online	online	ADV
cet-12815	2	14	at	at	ADP
cet-12815	2	15	www.cetjournal.it	www.cetjournal.it	PROPN
cet-12815	2	16	guest	guest	NOUN
cet-12815	2	17	editors	editor	NOUN
cet-12815	2	18	:	:	PUNCT
cet-12815	2	19	selena	selena	PROPN
cet-12815	2	20	sironi	sironi	PROPN
cet-12815	2	21	,	,	PUNCT
cet-12815	2	22	laura	laura	NOUN
cet-12815	2	23	capelli	capelli	PROPN
cet-12815	2	24	copyright	copyright	NOUN
cet-12815	2	25	©	©	PROPN
cet-12815	2	26	2022	2022	NUM
cet-12815	2	27	,	,	PUNCT
cet-12815	2	28	aidic	aidic	ADJ
cet-12815	2	29	servizi	servizi	PROPN
cet-12815	2	30	s.r.l	s.r.l	PROPN
cet-12815	2	31	.	.	PUNCT
cet-12815	3	1	isbn	isbn	ADJ
cet-12815	3	2	978	978	NUM
cet-12815	3	3	-	-	SYM
cet-12815	3	4	88	88	NUM
cet-12815	3	5	-	-	PUNCT
cet-12815	3	6	95608	95608	NUM
cet-12815	3	7	-	-	PUNCT
cet-12815	3	8	94	94	NUM
cet-12815	3	9	-	-	SYM
cet-12815	3	10	5	5	NUM
cet-12815	3	11	;	;	PUNCT
cet-12815	3	12	issn	issn	PROPN
cet-12815	3	13	2283	2283	NUM
cet-12815	3	14	-	-	SYM
cet-12815	3	15	9216	9216	NUM
cet-12815	3	16	instrumental	instrumental	ADJ
cet-12815	3	17	odour	odour	NOUN
cet-12815	3	18	monitoring	monitoring	NOUN
cet-12815	3	19	system	system	NOUN
cet-12815	3	20	application	application	NOUN
cet-12815	3	21	in	in	ADP
cet-12815	3	22	complex	complex	ADJ
cet-12815	3	23	refinery	refinery	NOUN
cet-12815	3	24	plant	plant	NOUN
cet-12815	3	25	:	:	PUNCT
cet-12815	3	26	comparison	comparison	NOUN
cet-12815	3	27	of	of	ADP
cet-12815	3	28	different	different	ADJ
cet-12815	3	29	pattern	pattern	NOUN
cet-12815	3	30	recognition	recognition	NOUN
cet-12815	3	31	algorithms	algorithm	NOUN
cet-12815	3	32	and	and	CCONJ
cet-12815	3	33	data	datum	NOUN
cet-12815	3	34	features	feature	VERB
cet-12815	3	35	mark	mark	PROPN
cet-12815	3	36	k.gino	k.gino	PROPN
cet-12815	3	37	galang	galang	PROPN
cet-12815	3	38	,	,	PUNCT
cet-12815	3	39	giuseppina	giuseppina	PROPN
cet-12815	3	40	oliva	oliva	PROPN
cet-12815	3	41	,	,	PUNCT
cet-12815	3	42	vincenzo	vincenzo	PROPN
cet-12815	3	43	belgiorno	belgiorno	PROPN
cet-12815	3	44	,	,	PUNCT
cet-12815	3	45	vincenzo	vincenzo	PROPN
cet-12815	3	46	naddeo	naddeo	PROPN
cet-12815	3	47	,	,	PUNCT
cet-12815	3	48	tiziano	tiziano	PROPN
cet-12815	3	49	zarra	zarra	PROPN
cet-12815	3	50	sanitary	sanitary	PROPN
cet-12815	3	51	environmental	environmental	ADJ
cet-12815	3	52	engineering	engineering	NOUN
cet-12815	3	53	division	division	NOUN
cet-12815	3	54	(	(	PUNCT
cet-12815	3	55	seed	seed	NOUN
cet-12815	3	56	)	)	PUNCT
cet-12815	3	57	,	,	PUNCT
cet-12815	3	58	department	department	NOUN
cet-12815	3	59	of	of	ADP
cet-12815	3	60	civil	civil	ADJ
cet-12815	3	61	engineering	engineering	NOUN
cet-12815	3	62	,	,	PUNCT
cet-12815	3	63	università	università	PROPN
cet-12815	3	64	degli	degli	PROPN
cet-12815	3	65	studi	studi	PROPN
cet-12815	3	66	di	di	PROPN
cet-12815	3	67	salerno	salerno	PROPN
cet-12815	3	68	,	,	PUNCT
cet-12815	3	69	via	via	ADP
cet-12815	3	70	giovanni	giovanni	PROPN
cet-12815	3	71	paolo	paolo	PROPN
cet-12815	3	72	ii	ii	PROPN
cet-12815	3	73	,	,	PUNCT
cet-12815	3	74	132	132	NUM
cet-12815	3	75	84084	84084	NUM
cet-12815	3	76	fisciano	fisciano	ADJ
cet-12815	3	77	(	(	PUNCT
cet-12815	3	78	sa	sa	PROPN
cet-12815	3	79	)	)	PUNCT
cet-12815	3	80	,	,	PUNCT
cet-12815	3	81	italy	italy	PROPN
cet-12815	3	82	mgalang@unisa.it	mgalang@unisa.it	VERB
cet-12815	3	83	the	the	DET
cet-12815	3	84	paper	paper	NOUN
cet-12815	3	85	presents	present	VERB
cet-12815	3	86	and	and	CCONJ
cet-12815	3	87	discusses	discuss	VERB
cet-12815	3	88	the	the	DET
cet-12815	3	89	development	development	NOUN
cet-12815	3	90	and	and	CCONJ
cet-12815	3	91	application	application	NOUN
cet-12815	3	92	of	of	ADP
cet-12815	3	93	different	different	ADJ
cet-12815	3	94	odour	odour	NOUN
cet-12815	3	95	monitoring	monitoring	NOUN
cet-12815	3	96	models	model	NOUN
cet-12815	3	97	(	(	PUNCT
cet-12815	3	98	omms	omms	NOUN
cet-12815	3	99	)	)	PUNCT
cet-12815	3	100	for	for	ADP
cet-12815	3	101	the	the	DET
cet-12815	3	102	classification	classification	NOUN
cet-12815	3	103	and	and	CCONJ
cet-12815	3	104	quantification	quantification	NOUN
cet-12815	3	105	of	of	ADP
cet-12815	3	106	odour	odour	ADJ
cet-12815	3	107	emissions	emission	NOUN
cet-12815	3	108	with	with	ADP
cet-12815	3	109	instrumental	instrumental	ADJ
cet-12815	3	110	odour	odour	NOUN
cet-12815	3	111	monitoring	monitoring	NOUN
cet-12815	3	112	systems	system	NOUN
cet-12815	3	113	(	(	PUNCT
cet-12815	3	114	iomss	iomss	PROPN
cet-12815	3	115	)	)	PUNCT
cet-12815	3	116	.	.	PUNCT
cet-12815	4	1	feed	feed	NOUN
cet-12815	4	2	-	-	PUNCT
cet-12815	4	3	forward	forward	ADV
cet-12815	4	4	neural	neural	ADJ
cet-12815	4	5	network	network	NOUN
cet-12815	4	6	and	and	CCONJ
cet-12815	4	7	linear	linear	ADJ
cet-12815	4	8	discriminant	discriminant	ADJ
cet-12815	4	9	analysis	analysis	NOUN
cet-12815	4	10	were	be	AUX
cet-12815	4	11	considered	consider	VERB
cet-12815	4	12	for	for	ADP
cet-12815	4	13	the	the	DET
cet-12815	4	14	classification	classification	NOUN
cet-12815	4	15	of	of	ADP
cet-12815	4	16	different	different	ADJ
cet-12815	4	17	type	type	NOUN
cet-12815	4	18	of	of	ADP
cet-12815	4	19	odours	odour	NOUN
cet-12815	4	20	,	,	PUNCT
cet-12815	4	21	while	while	SCONJ
cet-12815	4	22	feed	feed	NOUN
cet-12815	4	23	-	-	PUNCT
cet-12815	4	24	forward	forward	ADV
cet-12815	4	25	neural	neural	ADJ
cet-12815	4	26	network	network	NOUN
cet-12815	4	27	and	and	CCONJ
cet-12815	4	28	partial	partial	ADJ
cet-12815	4	29	least	least	ADJ
cet-12815	4	30	square	square	NOUN
cet-12815	4	31	were	be	AUX
cet-12815	4	32	investigated	investigate	VERB
cet-12815	4	33	for	for	ADP
cet-12815	4	34	the	the	DET
cet-12815	4	35	odour	odour	ADJ
cet-12815	4	36	quantification	quantification	NOUN
cet-12815	4	37	.	.	PUNCT
cet-12815	5	1	the	the	DET
cet-12815	5	2	prediction	prediction	NOUN
cet-12815	5	3	accuracy	accuracy	NOUN
cet-12815	5	4	of	of	ADP
cet-12815	5	5	the	the	DET
cet-12815	5	6	models	model	NOUN
cet-12815	5	7	was	be	AUX
cet-12815	5	8	examined	examine	VERB
cet-12815	5	9	by	by	ADP
cet-12815	5	10	analyzing	analyze	VERB
cet-12815	5	11	different	different	ADJ
cet-12815	5	12	data	datum	NOUN
cet-12815	5	13	extracted	extract	VERB
cet-12815	5	14	from	from	ADP
cet-12815	5	15	the	the	DET
cet-12815	5	16	sensors	sensor	NOUN
cet-12815	5	17	’	'	PUNCT
cet-12815	5	18	response	response	NOUN
cet-12815	5	19	curve	curve	NOUN
cet-12815	5	20	(	(	PUNCT
cet-12815	5	21	at	at	ADP
cet-12815	5	22	rise	rise	NOUN
cet-12815	5	23	,	,	PUNCT
cet-12815	5	24	intermediate	intermediate	ADJ
cet-12815	5	25	and	and	CCONJ
cet-12815	5	26	peak	peak	NOUN
cet-12815	5	27	period	period	NOUN
cet-12815	5	28	)	)	PUNCT
cet-12815	5	29	.	.	PUNCT
cet-12815	6	1	the	the	DET
cet-12815	6	2	application	application	NOUN
cet-12815	6	3	has	have	AUX
cet-12815	6	4	been	be	AUX
cet-12815	6	5	carried	carry	VERB
cet-12815	6	6	out	out	ADP
cet-12815	6	7	in	in	ADP
cet-12815	6	8	a	a	DET
cet-12815	6	9	complex	complex	ADJ
cet-12815	6	10	petroleum	petroleum	NOUN
cet-12815	6	11	refinery	refinery	NOUN
cet-12815	6	12	plant	plant	NOUN
cet-12815	6	13	.	.	PUNCT
cet-12815	7	1	a	a	DET
cet-12815	7	2	total	total	NOUN
cet-12815	7	3	of	of	ADP
cet-12815	7	4	44	44	NUM
cet-12815	7	5	potential	potential	ADJ
cet-12815	7	6	odour	odour	NOUN
cet-12815	7	7	sources	source	NOUN
cet-12815	7	8	were	be	AUX
cet-12815	7	9	monitored	monitor	VERB
cet-12815	7	10	and	and	CCONJ
cet-12815	7	11	grouped	group	VERB
cet-12815	7	12	into	into	ADP
cet-12815	7	13	7	7	NUM
cet-12815	7	14	different	different	ADJ
cet-12815	7	15	classes	class	NOUN
cet-12815	7	16	.	.	PUNCT
cet-12815	8	1	results	result	NOUN
cet-12815	8	2	highlight	highlight	VERB
cet-12815	8	3	that	that	SCONJ
cet-12815	8	4	the	the	DET
cet-12815	8	5	feed	feed	NOUN
cet-12815	8	6	-	-	PUNCT
cet-12815	8	7	forward	forward	ADV
cet-12815	8	8	neural	neural	ADJ
cet-12815	8	9	network	network	NOUN
cet-12815	8	10	prevails	prevail	VERB
cet-12815	8	11	in	in	ADP
cet-12815	8	12	terms	term	NOUN
cet-12815	8	13	of	of	ADP
cet-12815	8	14	high	high	ADJ
cet-12815	8	15	prediction	prediction	NOUN
cet-12815	8	16	capability	capability	NOUN
cet-12815	8	17	having	have	VERB
cet-12815	8	18	an	an	DET
cet-12815	8	19	architecture	architecture	NOUN
cet-12815	8	20	with	with	ADP
cet-12815	8	21	three	three	NUM
cet-12815	8	22	layers	layer	NOUN
cet-12815	8	23	(	(	PUNCT
cet-12815	8	24	input	input	NOUN
cet-12815	8	25	,	,	PUNCT
cet-12815	8	26	hidden	hidden	ADJ
cet-12815	8	27	and	and	CCONJ
cet-12815	8	28	output	output	NOUN
cet-12815	8	29	)	)	PUNCT
cet-12815	8	30	of	of	ADP
cet-12815	8	31	respectively	respectively	ADV
cet-12815	8	32	14	14	NUM
cet-12815	8	33	-	-	SYM
cet-12815	8	34	8	8	NUM
cet-12815	8	35	-	-	SYM
cet-12815	8	36	7	7	NUM
cet-12815	8	37	for	for	ADP
cet-12815	8	38	odour	odour	NOUN
cet-12815	8	39	classification	classification	NOUN
cet-12815	8	40	,	,	PUNCT
cet-12815	8	41	and	and	CCONJ
cet-12815	8	42	of	of	ADP
cet-12815	8	43	14	14	NUM
cet-12815	8	44	-	-	SYM
cet-12815	8	45	8	8	NUM
cet-12815	8	46	-	-	SYM
cet-12815	8	47	1	1	NUM
cet-12815	8	48	for	for	ADP
cet-12815	8	49	odour	odour	ADJ
cet-12815	8	50	quantification	quantification	NOUN
cet-12815	8	51	,	,	PUNCT
cet-12815	8	52	at	at	ADP
cet-12815	8	53	≥0.982	≥0.982	NOUN
cet-12815	8	54	r2	r2	NOUN
cet-12815	8	55	.	.	PUNCT
cet-12815	9	1	meanwhile	meanwhile	ADV
cet-12815	9	2	,	,	PUNCT
cet-12815	9	3	the	the	DET
cet-12815	9	4	most	most	ADV
cet-12815	9	5	useful	useful	ADJ
cet-12815	9	6	data	datum	NOUN
cet-12815	9	7	were	be	AUX
cet-12815	9	8	found	find	VERB
cet-12815	9	9	using	use	VERB
cet-12815	9	10	the	the	DET
cet-12815	9	11	peak	peak	NOUN
cet-12815	9	12	period	period	NOUN
cet-12815	9	13	.	.	PUNCT
cet-12815	10	1	the	the	DET
cet-12815	10	2	research	research	NOUN
cet-12815	10	3	contributes	contribute	VERB
cet-12815	10	4	to	to	ADP
cet-12815	10	5	the	the	DET
cet-12815	10	6	understanding	understanding	NOUN
cet-12815	10	7	of	of	ADP
cet-12815	10	8	ioms	iom	NOUN
cet-12815	10	9	applications	application	NOUN
cet-12815	10	10	,	,	PUNCT
cet-12815	10	11	providing	provide	VERB
cet-12815	10	12	data	datum	NOUN
cet-12815	10	13	on	on	ADP
cet-12815	10	14	refinery	refinery	NOUN
cet-12815	10	15	plant	plant	NOUN
cet-12815	10	16	odour	odour	NOUN
cet-12815	10	17	emissions	emission	NOUN
cet-12815	10	18	and	and	CCONJ
cet-12815	10	19	applicable	applicable	ADJ
cet-12815	10	20	mathematical	mathematical	ADJ
cet-12815	10	21	models	model	NOUN
cet-12815	10	22	to	to	PART
cet-12815	10	23	ensure	ensure	VERB
cet-12815	10	24	great	great	ADJ
cet-12815	10	25	data	datum	NOUN
cet-12815	10	26	reliability	reliability	NOUN
cet-12815	10	27	.	.	PUNCT
cet-12815	11	1	the	the	DET
cet-12815	11	2	study	study	NOUN
cet-12815	11	3	highlights	highlight	VERB
cet-12815	11	4	the	the	DET
cet-12815	11	5	influence	influence	NOUN
cet-12815	11	6	of	of	ADP
cet-12815	11	7	the	the	DET
cet-12815	11	8	pattern	pattern	NOUN
cet-12815	11	9	recognition	recognition	NOUN
cet-12815	11	10	algorithms	algorithm	NOUN
cet-12815	11	11	in	in	ADP
cet-12815	11	12	the	the	DET
cet-12815	11	13	odour	odour	NOUN
cet-12815	11	14	montoring	montore	VERB
cet-12815	11	15	model	model	NOUN
cet-12815	11	16	(	(	PUNCT
cet-12815	11	17	omm	omm	NOUN
cet-12815	11	18	)	)	PUNCT
cet-12815	11	19	elaboration	elaboration	NOUN
cet-12815	11	20	and	and	CCONJ
cet-12815	11	21	suggests	suggest	VERB
cet-12815	11	22	the	the	DET
cet-12815	11	23	utility	utility	NOUN
cet-12815	11	24	of	of	ADP
cet-12815	11	25	promoting	promote	VERB
cet-12815	11	26	the	the	DET
cet-12815	11	27	implementation	implementation	NOUN
cet-12815	11	28	of	of	ADP
cet-12815	11	29	flexible	flexible	ADJ
cet-12815	11	30	and	and	CCONJ
cet-12815	11	31	adaptable	adaptable	ADJ
cet-12815	11	32	ioms	iom	NOUN
cet-12815	11	33	.	.	PUNCT
cet-12815	12	1	1	1	X
cet-12815	12	2	.	.	X
cet-12815	12	3	introduction	introduction	NOUN
cet-12815	12	4	odour	odour	NOUN
cet-12815	12	5	has	have	AUX
cet-12815	12	6	been	be	AUX
cet-12815	12	7	listed	list	VERB
cet-12815	12	8	among	among	ADP
cet-12815	12	9	atmospheric	atmospheric	ADJ
cet-12815	12	10	pollutants	pollutant	NOUN
cet-12815	12	11	(	(	PUNCT
cet-12815	12	12	piccardo	piccardo	PROPN
cet-12815	12	13	et	et	PROPN
cet-12815	12	14	al	al	PROPN
cet-12815	12	15	.	.	PROPN
cet-12815	12	16	,	,	PUNCT
cet-12815	12	17	2022	2022	NUM
cet-12815	12	18	)	)	PUNCT
cet-12815	12	19	,	,	PUNCT
cet-12815	12	20	due	due	ADP
cet-12815	12	21	to	to	ADP
cet-12815	12	22	the	the	DET
cet-12815	12	23	fact	fact	NOUN
cet-12815	12	24	that	that	SCONJ
cet-12815	12	25	they	they	PRON
cet-12815	12	26	can	can	AUX
cet-12815	12	27	be	be	AUX
cet-12815	12	28	an	an	DET
cet-12815	12	29	indicator	indicator	NOUN
cet-12815	12	30	of	of	ADP
cet-12815	12	31	unhealthy	unhealthy	ADJ
cet-12815	12	32	air	air	NOUN
cet-12815	12	33	quality	quality	NOUN
cet-12815	12	34	for	for	ADP
cet-12815	12	35	the	the	DET
cet-12815	12	36	people	people	NOUN
cet-12815	12	37	and	and	CCONJ
cet-12815	12	38	a	a	DET
cet-12815	12	39	source	source	NOUN
cet-12815	12	40	of	of	ADP
cet-12815	12	41	private	private	ADJ
cet-12815	12	42	or	or	CCONJ
cet-12815	12	43	public	public	ADJ
cet-12815	12	44	nuisance	nuisance	NOUN
cet-12815	12	45	resulting	result	VERB
cet-12815	12	46	in	in	ADP
cet-12815	12	47	concerning	concern	VERB
cet-12815	12	48	environmental	environmental	ADJ
cet-12815	12	49	issue	issue	NOUN
cet-12815	12	50	(	(	PUNCT
cet-12815	12	51	full	full	ADJ
cet-12815	12	52	et	et	PROPN
cet-12815	12	53	al	al	PROPN
cet-12815	12	54	.	.	PROPN
cet-12815	12	55	,	,	PUNCT
cet-12815	12	56	2020	2020	NUM
cet-12815	12	57	)	)	PUNCT
cet-12815	12	58	.	.	PUNCT
cet-12815	13	1	among	among	ADP
cet-12815	13	2	all	all	DET
cet-12815	13	3	the	the	DET
cet-12815	13	4	industries	industry	NOUN
cet-12815	13	5	,	,	PUNCT
cet-12815	13	6	petroleum	petroleum	NOUN
cet-12815	13	7	industry	industry	NOUN
cet-12815	13	8	is	be	AUX
cet-12815	13	9	one	one	NUM
cet-12815	13	10	of	of	ADP
cet-12815	13	11	the	the	DET
cet-12815	13	12	contributors	contributor	NOUN
cet-12815	13	13	of	of	ADP
cet-12815	13	14	odour	odour	ADJ
cet-12815	13	15	pollution	pollution	NOUN
cet-12815	13	16	through	through	ADP
cet-12815	13	17	the	the	DET
cet-12815	13	18	emission	emission	NOUN
cet-12815	13	19	of	of	ADP
cet-12815	13	20	different	different	ADJ
cet-12815	13	21	gaseous	gaseous	ADJ
cet-12815	13	22	substances	substance	NOUN
cet-12815	13	23	in	in	ADP
cet-12815	13	24	the	the	DET
cet-12815	13	25	form	form	NOUN
cet-12815	13	26	of	of	ADP
cet-12815	13	27	aromatic	aromatic	ADJ
cet-12815	13	28	compounds	compound	NOUN
cet-12815	13	29	,	,	PUNCT
cet-12815	13	30	specially	specially	ADV
cet-12815	13	31	btex	btex	PROPN
cet-12815	13	32	(	(	PUNCT
cet-12815	13	33	benzene	benzene	NOUN
cet-12815	13	34	,	,	PUNCT
cet-12815	13	35	c6h6	c6h6	PROPN
cet-12815	13	36	;	;	PUNCT
cet-12815	13	37	toluene	toluene	NOUN
cet-12815	13	38	,	,	PUNCT
cet-12815	13	39	c7h8	c7h8	NOUN
cet-12815	13	40	;	;	PUNCT
cet-12815	13	41	ethylbenzene	ethylbenzene	ADJ
cet-12815	13	42	,	,	PUNCT
cet-12815	13	43	c8h10	c8h10	PROPN
cet-12815	13	44	;	;	PUNCT
cet-12815	13	45	and	and	CCONJ
cet-12815	13	46	xylene	xylene	NOUN
cet-12815	13	47	,	,	PUNCT
cet-12815	13	48	c8h10	c8h10	PROPN
cet-12815	13	49	)	)	PUNCT
cet-12815	13	50	,	,	PUNCT
cet-12815	13	51	and	and	CCONJ
cet-12815	13	52	sulphur	sulphur	NOUN
cet-12815	13	53	(	(	PUNCT
cet-12815	13	54	sox	sox	PROPN
cet-12815	13	55	)	)	PUNCT
cet-12815	13	56	compounds	compound	NOUN
cet-12815	13	57	.	.	PUNCT
cet-12815	14	1	moreover	moreover	ADV
cet-12815	14	2	,	,	PUNCT
cet-12815	14	3	the	the	DET
cet-12815	14	4	emission	emission	NOUN
cet-12815	14	5	from	from	ADP
cet-12815	14	6	these	these	DET
cet-12815	14	7	plants	plant	NOUN
cet-12815	14	8	may	may	AUX
cet-12815	14	9	generate	generate	VERB
cet-12815	14	10	off	off	ADP
cet-12815	14	11	-	-	PUNCT
cet-12815	14	12	site	site	NOUN
cet-12815	14	13	impacts	impact	NOUN
cet-12815	14	14	,	,	PUNCT
cet-12815	14	15	thus	thus	ADV
cet-12815	14	16	,	,	PUNCT
cet-12815	14	17	requiring	require	VERB
cet-12815	14	18	comprehensive	comprehensive	ADJ
cet-12815	14	19	management	management	NOUN
cet-12815	14	20	by	by	ADP
cet-12815	14	21	reliable	reliable	ADJ
cet-12815	14	22	assessment	assessment	NOUN
cet-12815	14	23	(	(	PUNCT
cet-12815	14	24	spinazzè	spinazzè	PROPN
cet-12815	14	25	et	et	PROPN
cet-12815	14	26	al	al	PROPN
cet-12815	14	27	.	.	PROPN
cet-12815	14	28	,	,	PUNCT
cet-12815	14	29	2022	2022	NUM
cet-12815	14	30	)	)	PUNCT
cet-12815	14	31	.	.	PUNCT
cet-12815	15	1	at	at	ADP
cet-12815	15	2	present	present	ADJ
cet-12815	15	3	,	,	PUNCT
cet-12815	15	4	there	there	PRON
cet-12815	15	5	are	be	VERB
cet-12815	15	6	three	three	NUM
cet-12815	15	7	(	(	PUNCT
cet-12815	15	8	3	3	NUM
cet-12815	15	9	)	)	PUNCT
cet-12815	15	10	main	main	ADJ
cet-12815	15	11	strategies	strategy	NOUN
cet-12815	15	12	employed	employ	VERB
cet-12815	15	13	for	for	ADP
cet-12815	15	14	odour	odour	NOUN
cet-12815	15	15	emissions	emission	NOUN
cet-12815	15	16	assessment	assessment	NOUN
cet-12815	15	17	such	such	ADJ
cet-12815	15	18	as	as	ADP
cet-12815	15	19	the	the	DET
cet-12815	15	20	use	use	NOUN
cet-12815	15	21	of	of	ADP
cet-12815	15	22	instrumental	instrumental	ADJ
cet-12815	15	23	techniques	technique	NOUN
cet-12815	15	24	,	,	PUNCT
cet-12815	15	25	design	design	NOUN
cet-12815	15	26	of	of	ADP
cet-12815	15	27	dispersion	dispersion	NOUN
cet-12815	15	28	models	model	NOUN
cet-12815	15	29	,	,	PUNCT
cet-12815	15	30	and	and	CCONJ
cet-12815	15	31	citizens	citizen	NOUN
cet-12815	15	32	active	active	ADJ
cet-12815	15	33	involvement	involvement	NOUN
cet-12815	15	34	(	(	PUNCT
cet-12815	15	35	full	full	ADJ
cet-12815	15	36	et	et	PROPN
cet-12815	15	37	al	al	PROPN
cet-12815	15	38	.	.	PROPN
cet-12815	15	39	,	,	PUNCT
cet-12815	15	40	2020	2020	NUM
cet-12815	15	41	)	)	PUNCT
cet-12815	15	42	.	.	PUNCT
cet-12815	16	1	firstly	firstly	ADV
cet-12815	16	2	,	,	PUNCT
cet-12815	16	3	the	the	DET
cet-12815	16	4	use	use	NOUN
cet-12815	16	5	of	of	ADP
cet-12815	16	6	instrumental	instrumental	ADJ
cet-12815	16	7	techniques	technique	NOUN
cet-12815	16	8	can	can	AUX
cet-12815	16	9	be	be	AUX
cet-12815	16	10	categorized	categorize	VERB
cet-12815	16	11	as	as	ADP
cet-12815	16	12	analytical	analytical	ADJ
cet-12815	16	13	,	,	PUNCT
cet-12815	16	14	sensorial	sensorial	ADJ
cet-12815	16	15	,	,	PUNCT
cet-12815	16	16	and	and	CCONJ
cet-12815	16	17	combined	combined	ADJ
cet-12815	16	18	analyticalsensorial	analyticalsensorial	ADJ
cet-12815	16	19	methods	method	NOUN
cet-12815	16	20	(	(	PUNCT
cet-12815	16	21	giuliani	giuliani	PROPN
cet-12815	16	22	et	et	PROPN
cet-12815	16	23	al	al	PROPN
cet-12815	16	24	.	.	PROPN
cet-12815	16	25	,	,	PUNCT
cet-12815	16	26	2012	2012	NUM
cet-12815	16	27	)	)	PUNCT
cet-12815	16	28	.	.	PUNCT
cet-12815	17	1	analytical	analytical	ADJ
cet-12815	17	2	techniques	technique	NOUN
cet-12815	17	3	are	be	AUX
cet-12815	17	4	usually	usually	ADV
cet-12815	17	5	detectors	detector	NOUN
cet-12815	17	6	and	and	CCONJ
cet-12815	17	7	gases	gas	NOUN
cet-12815	17	8	analysers	analyser	NOUN
cet-12815	17	9	in	in	ADP
cet-12815	17	10	the	the	DET
cet-12815	17	11	laboratory	laboratory	NOUN
cet-12815	17	12	that	that	PRON
cet-12815	17	13	provide	provide	VERB
cet-12815	17	14	information	information	NOUN
cet-12815	17	15	about	about	ADP
cet-12815	17	16	specific	specific	ADJ
cet-12815	17	17	gases	gas	NOUN
cet-12815	17	18	concentration	concentration	NOUN
cet-12815	17	19	in	in	ADP
cet-12815	17	20	the	the	DET
cet-12815	17	21	odorant	odorant	ADJ
cet-12815	17	22	mixture	mixture	NOUN
cet-12815	17	23	(	(	PUNCT
cet-12815	17	24	blanco	blanco	NOUN
cet-12815	17	25	-	-	PUNCT
cet-12815	17	26	rodríguez	rodríguez	NOUN
cet-12815	17	27	et	et	PROPN
cet-12815	17	28	al	al	PROPN
cet-12815	17	29	.	.	PROPN
cet-12815	17	30	,	,	PUNCT
cet-12815	17	31	2018	2018	NUM
cet-12815	17	32	)	)	PUNCT
cet-12815	17	33	.	.	PUNCT
cet-12815	18	1	this	this	DET
cet-12815	18	2	technique	technique	NOUN
cet-12815	18	3	can	can	AUX
cet-12815	18	4	reveal	reveal	VERB
cet-12815	18	5	the	the	DET
cet-12815	18	6	responsible	responsible	ADJ
cet-12815	18	7	gaseous	gaseous	ADJ
cet-12815	18	8	compounds	compound	NOUN
cet-12815	18	9	in	in	ADP
cet-12815	18	10	the	the	DET
cet-12815	18	11	odour	odour	NOUN
cet-12815	18	12	emission	emission	NOUN
cet-12815	18	13	;	;	PUNCT
cet-12815	18	14	however	however	ADV
cet-12815	18	15	,	,	PUNCT
cet-12815	18	16	it	it	PRON
cet-12815	18	17	is	be	AUX
cet-12815	18	18	not	not	PART
cet-12815	18	19	possible	possible	ADJ
cet-12815	18	20	to	to	PART
cet-12815	18	21	quantify	quantify	VERB
cet-12815	18	22	odour	odour	NOUN
cet-12815	18	23	as	as	ADP
cet-12815	18	24	a	a	DET
cet-12815	18	25	single	single	ADJ
cet-12815	18	26	parameter	parameter	NOUN
cet-12815	18	27	.	.	PUNCT
cet-12815	19	1	for	for	ADP
cet-12815	19	2	sensorial	sensorial	ADJ
cet-12815	19	3	methods	method	NOUN
cet-12815	19	4	,	,	PUNCT
cet-12815	19	5	dynamic	dynamic	ADJ
cet-12815	19	6	olfactometry	olfactometry	NOUN
cet-12815	19	7	(	(	PUNCT
cet-12815	19	8	en	en	X
cet-12815	19	9	13725	13725	NUM
cet-12815	19	10	)	)	PUNCT
cet-12815	19	11	and	and	CCONJ
cet-12815	19	12	field	field	NOUN
cet-12815	19	13	inspection	inspection	NOUN
cet-12815	19	14	(	(	PUNCT
cet-12815	19	15	en	en	X
cet-12815	19	16	16841	16841	NUM
cet-12815	19	17	)	)	PUNCT
cet-12815	19	18	are	be	AUX
cet-12815	19	19	the	the	DET
cet-12815	19	20	methods	method	NOUN
cet-12815	19	21	specifically	specifically	ADV
cet-12815	19	22	developed	develop	VERB
cet-12815	19	23	for	for	ADP
cet-12815	19	24	odour	odour	NOUN
cet-12815	19	25	measurement	measurement	NOUN
cet-12815	19	26	,	,	PUNCT
cet-12815	19	27	which	which	PRON
cet-12815	19	28	have	have	AUX
cet-12815	19	29	been	be	AUX
cet-12815	19	30	standardized	standardize	VERB
cet-12815	19	31	at	at	ADP
cet-12815	19	32	the	the	DET
cet-12815	19	33	european	european	ADJ
cet-12815	19	34	level	level	NOUN
cet-12815	19	35	(	(	PUNCT
cet-12815	19	36	bokowa	bokowa	NOUN
cet-12815	19	37	et	et	PROPN
cet-12815	19	38	al	al	PROPN
cet-12815	19	39	.	.	PROPN
cet-12815	19	40	,	,	PUNCT
cet-12815	19	41	2021	2021	NUM
cet-12815	19	42	)	)	PUNCT
cet-12815	19	43	.	.	PUNCT
cet-12815	20	1	for	for	ADP
cet-12815	20	2	combined	combined	ADJ
cet-12815	20	3	analytical	analytical	ADJ
cet-12815	20	4	-	-	PUNCT
cet-12815	20	5	sensorial	sensorial	ADJ
cet-12815	20	6	techniques	technique	NOUN
cet-12815	20	7	,	,	PUNCT
cet-12815	20	8	instrumental	instrumental	ADJ
cet-12815	20	9	odour	odour	NOUN
cet-12815	20	10	monitoring	monitoring	NOUN
cet-12815	20	11	systems	system	NOUN
cet-12815	20	12	(	(	PUNCT
cet-12815	20	13	iomss	iomss	PROPN
cet-12815	20	14	)	)	PUNCT
cet-12815	20	15	are	be	AUX
cet-12815	20	16	applied	apply	VERB
cet-12815	20	17	(	(	PUNCT
cet-12815	20	18	zarra	zarra	PROPN
cet-12815	20	19	et	et	PROPN
cet-12815	20	20	al	al	PROPN
cet-12815	20	21	.	.	PROPN
cet-12815	20	22	,	,	PUNCT
cet-12815	20	23	2021a	2021a	NUM
cet-12815	20	24	)	)	PUNCT
cet-12815	20	25	.	.	PUNCT
cet-12815	21	1	ioms	iom	NOUN
cet-12815	21	2	can	can	AUX
cet-12815	21	3	be	be	AUX
cet-12815	21	4	coupled	couple	VERB
cet-12815	21	5	with	with	ADP
cet-12815	21	6	91	91	NUM
cet-12815	21	7	other	other	ADJ
cet-12815	21	8	instruments	instrument	NOUN
cet-12815	21	9	in	in	ADP
cet-12815	21	10	the	the	DET
cet-12815	21	11	field	field	NOUN
cet-12815	21	12	and	and	CCONJ
cet-12815	21	13	implemented	implement	VERB
cet-12815	21	14	using	use	VERB
cet-12815	21	15	smart	smart	ADJ
cet-12815	21	16	technologies	technology	NOUN
cet-12815	21	17	(	(	PUNCT
cet-12815	21	18	zarra	zarra	PROPN
cet-12815	21	19	et	et	PROPN
cet-12815	21	20	al	al	PROPN
cet-12815	21	21	.	.	PROPN
cet-12815	21	22	,	,	PUNCT
cet-12815	21	23	2019	2019	NUM
cet-12815	21	24	)	)	PUNCT
cet-12815	21	25	,	,	PUNCT
cet-12815	21	26	thus	thus	ADV
cet-12815	21	27	making	make	VERB
cet-12815	21	28	it	it	PRON
cet-12815	21	29	suitable	suitable	ADJ
cet-12815	21	30	to	to	PART
cet-12815	21	31	deploy	deploy	VERB
cet-12815	21	32	on	on	ADP
cet-12815	21	33	-	-	PUNCT
cet-12815	21	34	site	site	NOUN
cet-12815	21	35	,	,	PUNCT
cet-12815	21	36	giving	give	VERB
cet-12815	21	37	real	real	ADJ
cet-12815	21	38	-	-	PUNCT
cet-12815	21	39	time	time	NOUN
cet-12815	21	40	measurements	measurement	NOUN
cet-12815	21	41	,	,	PUNCT
cet-12815	21	42	but	but	CCONJ
cet-12815	21	43	more	more	ADJ
cet-12815	21	44	studies	study	NOUN
cet-12815	21	45	are	be	AUX
cet-12815	21	46	needed	need	VERB
cet-12815	21	47	in	in	ADP
cet-12815	21	48	order	order	NOUN
cet-12815	21	49	to	to	PART
cet-12815	21	50	improve	improve	VERB
cet-12815	21	51	its	its	PRON
cet-12815	21	52	functionality	functionality	NOUN
cet-12815	21	53	.	.	PUNCT
cet-12815	22	1	on	on	ADP
cet-12815	22	2	the	the	DET
cet-12815	22	3	other	other	ADJ
cet-12815	22	4	hand	hand	NOUN
cet-12815	22	5	,	,	PUNCT
cet-12815	22	6	odour	odour	ADJ
cet-12815	22	7	dispersion	dispersion	NOUN
cet-12815	22	8	models	model	NOUN
cet-12815	22	9	are	be	AUX
cet-12815	22	10	able	able	ADJ
cet-12815	22	11	to	to	PART
cet-12815	22	12	predict	predict	VERB
cet-12815	22	13	odour	odour	NOUN
cet-12815	22	14	concentration	concentration	NOUN
cet-12815	22	15	values	value	NOUN
cet-12815	22	16	at	at	ADP
cet-12815	22	17	ground	ground	NOUN
cet-12815	22	18	level	level	NOUN
cet-12815	22	19	in	in	ADP
cet-12815	22	20	the	the	DET
cet-12815	22	21	simulation	simulation	NOUN
cet-12815	22	22	space	space	NOUN
cet-12815	22	23	-	-	PUNCT
cet-12815	22	24	time	time	NOUN
cet-12815	22	25	domain	domain	NOUN
cet-12815	22	26	(	(	PUNCT
cet-12815	22	27	botta	botta	PROPN
cet-12815	22	28	et	et	PROPN
cet-12815	22	29	al	al	PROPN
cet-12815	22	30	.	.	PROPN
cet-12815	22	31	,	,	PUNCT
cet-12815	22	32	2020	2020	NUM
cet-12815	22	33	)	)	PUNCT
cet-12815	22	34	.	.	PUNCT
cet-12815	23	1	lastly	lastly	ADV
cet-12815	23	2	,	,	PUNCT
cet-12815	23	3	citizens	citizen	NOUN
cet-12815	23	4	active	active	ADJ
cet-12815	23	5	involvement	involvement	NOUN
cet-12815	23	6	in	in	ADP
cet-12815	23	7	terms	term	NOUN
cet-12815	23	8	of	of	ADP
cet-12815	23	9	mapping	mapping	NOUN
cet-12815	23	10	and	and	CCONJ
cet-12815	23	11	managing	manage	VERB
cet-12815	23	12	odour	odour	NOUN
cet-12815	23	13	pollution	pollution	NOUN
cet-12815	23	14	problems	problem	NOUN
cet-12815	23	15	,	,	PUNCT
cet-12815	23	16	represents	represent	VERB
cet-12815	23	17	a	a	DET
cet-12815	23	18	proactive	proactive	ADJ
cet-12815	23	19	strategy	strategy	NOUN
cet-12815	23	20	to	to	PART
cet-12815	23	21	address	address	VERB
cet-12815	23	22	socio	socio	NOUN
cet-12815	23	23	-	-	PUNCT
cet-12815	23	24	economic	economic	ADJ
cet-12815	23	25	conflicts	conflict	NOUN
cet-12815	23	26	within	within	ADP
cet-12815	23	27	the	the	DET
cet-12815	23	28	impacted	impact	VERB
cet-12815	23	29	communities	community	NOUN
cet-12815	23	30	(	(	PUNCT
cet-12815	23	31	conti	conti	X
cet-12815	23	32	et	et	PROPN
cet-12815	23	33	al	al	PROPN
cet-12815	23	34	.	.	PROPN
cet-12815	23	35	,	,	PUNCT
cet-12815	23	36	2020	2020	NUM
cet-12815	23	37	)	)	PUNCT
cet-12815	23	38	.	.	PUNCT
cet-12815	24	1	this	this	DET
cet-12815	24	2	approach	approach	NOUN
cet-12815	24	3	is	be	AUX
cet-12815	24	4	not	not	PART
cet-12815	24	5	expensive	expensive	ADJ
cet-12815	24	6	but	but	CCONJ
cet-12815	24	7	takes	take	VERB
cet-12815	24	8	time	time	NOUN
cet-12815	24	9	and	and	CCONJ
cet-12815	24	10	lacks	lack	VERB
cet-12815	24	11	scientific	scientific	ADJ
cet-12815	24	12	stability	stability	NOUN
cet-12815	24	13	due	due	ADP
cet-12815	24	14	to	to	ADP
cet-12815	24	15	the	the	DET
cet-12815	24	16	psychological	psychological	ADJ
cet-12815	24	17	effects	effect	NOUN
cet-12815	24	18	of	of	ADP
cet-12815	24	19	the	the	DET
cet-12815	24	20	people	people	NOUN
cet-12815	24	21	engaged	engage	VERB
cet-12815	24	22	in	in	ADP
cet-12815	24	23	monitoring	monitor	VERB
cet-12815	24	24	the	the	DET
cet-12815	24	25	odours	odour	NOUN
cet-12815	24	26	.	.	PUNCT
cet-12815	25	1	in	in	ADP
cet-12815	25	2	this	this	DET
cet-12815	25	3	study	study	NOUN
cet-12815	25	4	,	,	PUNCT
cet-12815	25	5	the	the	DET
cet-12815	25	6	development	development	NOUN
cet-12815	25	7	and	and	CCONJ
cet-12815	25	8	comparison	comparison	NOUN
cet-12815	25	9	of	of	ADP
cet-12815	25	10	different	different	ADJ
cet-12815	25	11	odour	odour	NOUN
cet-12815	25	12	monitoring	monitoring	NOUN
cet-12815	25	13	models	model	NOUN
cet-12815	25	14	(	(	PUNCT
cet-12815	25	15	omms	omms	NOUN
cet-12815	25	16	)	)	PUNCT
cet-12815	25	17	for	for	ADP
cet-12815	25	18	the	the	DET
cet-12815	25	19	application	application	NOUN
cet-12815	25	20	of	of	ADP
cet-12815	25	21	instrumental	instrumental	ADJ
cet-12815	25	22	odour	odour	NOUN
cet-12815	25	23	monitoring	monitoring	NOUN
cet-12815	25	24	system	system	NOUN
cet-12815	25	25	in	in	ADP
cet-12815	25	26	a	a	DET
cet-12815	25	27	petroleum	petroleum	NOUN
cet-12815	25	28	refinery	refinery	NOUN
cet-12815	25	29	plant	plant	NOUN
cet-12815	25	30	is	be	AUX
cet-12815	25	31	discussed	discuss	VERB
cet-12815	25	32	.	.	PUNCT
cet-12815	26	1	omm	omm	PROPN
cet-12815	26	2	can	can	AUX
cet-12815	26	3	be	be	AUX
cet-12815	26	4	parametric	parametric	ADJ
cet-12815	26	5	or	or	CCONJ
cet-12815	26	6	non	non	ADJ
cet-12815	26	7	-	-	ADJ
cet-12815	26	8	parametric	parametric	ADJ
cet-12815	26	9	depending	depend	VERB
cet-12815	26	10	on	on	ADP
cet-12815	26	11	the	the	DET
cet-12815	26	12	behaviour	behaviour	NOUN
cet-12815	26	13	of	of	ADP
cet-12815	26	14	the	the	DET
cet-12815	26	15	dataset	dataset	NOUN
cet-12815	26	16	(	(	PUNCT
cet-12815	26	17	zarra	zarra	PROPN
cet-12815	26	18	et	et	PROPN
cet-12815	26	19	al	al	PROPN
cet-12815	26	20	.	.	PROPN
cet-12815	26	21	,	,	PUNCT
cet-12815	26	22	2021b	2021b	NUM
cet-12815	26	23	)	)	PUNCT
cet-12815	26	24	,	,	PUNCT
cet-12815	26	25	while	while	SCONJ
cet-12815	26	26	data	datum	NOUN
cet-12815	26	27	reduction	reduction	NOUN
cet-12815	26	28	is	be	AUX
cet-12815	26	29	coupled	couple	VERB
cet-12815	26	30	in	in	ADP
cet-12815	26	31	the	the	DET
cet-12815	26	32	data	data	NOUN
cet-12815	26	33	processing	processing	NOUN
cet-12815	26	34	to	to	PART
cet-12815	26	35	support	support	VERB
cet-12815	26	36	the	the	DET
cet-12815	26	37	omm	omm	NOUN
cet-12815	26	38	’s	’s	PART
cet-12815	26	39	effectiveness	effectiveness	NOUN
cet-12815	26	40	.	.	PUNCT
cet-12815	27	1	in	in	ADP
cet-12815	27	2	this	this	DET
cet-12815	27	3	way	way	NOUN
cet-12815	27	4	,	,	PUNCT
cet-12815	27	5	robust	robust	ADJ
cet-12815	27	6	information	information	NOUN
cet-12815	27	7	from	from	ADP
cet-12815	27	8	the	the	DET
cet-12815	27	9	sensor	sensor	NOUN
cet-12815	27	10	response	response	NOUN
cet-12815	27	11	can	can	AUX
cet-12815	27	12	be	be	AUX
cet-12815	27	13	achieved	achieve	VERB
cet-12815	27	14	with	with	ADP
cet-12815	27	15	less	less	ADJ
cet-12815	27	16	redundancy	redundancy	NOUN
cet-12815	27	17	.	.	PUNCT
cet-12815	28	1	the	the	DET
cet-12815	28	2	research	research	NOUN
cet-12815	28	3	aims	aim	VERB
cet-12815	28	4	to	to	PART
cet-12815	28	5	contribute	contribute	VERB
cet-12815	28	6	to	to	ADP
cet-12815	28	7	the	the	DET
cet-12815	28	8	understanding	understanding	NOUN
cet-12815	28	9	of	of	ADP
cet-12815	28	10	the	the	DET
cet-12815	28	11	methods	method	NOUN
cet-12815	28	12	to	to	PART
cet-12815	28	13	improve	improve	VERB
cet-12815	28	14	the	the	DET
cet-12815	28	15	accuracy	accuracy	NOUN
cet-12815	28	16	of	of	ADP
cet-12815	28	17	odour	odour	ADJ
cet-12815	28	18	classification	classification	NOUN
cet-12815	28	19	monitoring	monitoring	NOUN
cet-12815	28	20	model	model	NOUN
cet-12815	28	21	(	(	PUNCT
cet-12815	28	22	ocmm	ocmm	NOUN
cet-12815	28	23	)	)	PUNCT
cet-12815	28	24	and	and	CCONJ
cet-12815	28	25	odour	odour	NOUN
cet-12815	28	26	quantification	quantification	NOUN
cet-12815	28	27	monitoring	monitoring	NOUN
cet-12815	28	28	model	model	NOUN
cet-12815	28	29	(	(	PUNCT
cet-12815	28	30	oqmm	oqmm	ADJ
cet-12815	28	31	)	)	PUNCT
cet-12815	28	32	using	use	VERB
cet-12815	28	33	the	the	DET
cet-12815	28	34	ioms	iom	NOUN
cet-12815	28	35	,	,	PUNCT
cet-12815	28	36	in	in	ADP
cet-12815	28	37	complex	complex	ADJ
cet-12815	28	38	odorous	odorous	ADJ
cet-12815	28	39	plants	plant	NOUN
cet-12815	28	40	characterized	characterize	VERB
cet-12815	28	41	by	by	ADP
cet-12815	28	42	a	a	DET
cet-12815	28	43	significant	significant	ADJ
cet-12815	28	44	number	number	NOUN
cet-12815	28	45	of	of	ADP
cet-12815	28	46	potential	potential	ADJ
cet-12815	28	47	sources	source	NOUN
cet-12815	28	48	of	of	ADP
cet-12815	28	49	odour	odour	NOUN
cet-12815	28	50	emissions	emission	NOUN
cet-12815	28	51	.	.	PUNCT
cet-12815	29	1	the	the	DET
cet-12815	29	2	investigations	investigation	NOUN
cet-12815	29	3	have	have	AUX
cet-12815	29	4	been	be	AUX
cet-12815	29	5	conducted	conduct	VERB
cet-12815	29	6	in	in	ADP
cet-12815	29	7	five	five	NUM
cet-12815	29	8	phases	phase	NOUN
cet-12815	29	9	:	:	PUNCT
cet-12815	29	10	i	i	PRON
cet-12815	29	11	)	)	PUNCT
cet-12815	29	12	collecting	collect	VERB
cet-12815	29	13	samples	sample	NOUN
cet-12815	29	14	at	at	ADP
cet-12815	29	15	a	a	DET
cet-12815	29	16	real	real	ADJ
cet-12815	29	17	refinery	refinery	NOUN
cet-12815	29	18	plant	plant	NOUN
cet-12815	29	19	and	and	CCONJ
cet-12815	29	20	odour	odour	NOUN
cet-12815	29	21	classes	class	NOUN
cet-12815	29	22	definition	definition	NOUN
cet-12815	29	23	;	;	PUNCT
cet-12815	29	24	ii	ii	X
cet-12815	29	25	)	)	PUNCT
cet-12815	29	26	ioms	iom	VERB
cet-12815	29	27	data	datum	NOUN
cet-12815	29	28	acquisition	acquisition	NOUN
cet-12815	29	29	and	and	CCONJ
cet-12815	29	30	dynamic	dynamic	ADJ
cet-12815	29	31	olfactometry	olfactometry	NOUN
cet-12815	29	32	analysis	analysis	NOUN
cet-12815	29	33	;	;	PUNCT
cet-12815	29	34	iii	iii	X
cet-12815	29	35	)	)	PUNCT
cet-12815	29	36	ioms	iom	NOUN
cet-12815	29	37	,	,	PUNCT
cet-12815	29	38	extraction	extraction	NOUN
cet-12815	29	39	of	of	ADP
cet-12815	29	40	the	the	DET
cet-12815	29	41	signals	signal	NOUN
cet-12815	29	42	from	from	ADP
cet-12815	29	43	the	the	DET
cet-12815	29	44	complete	complete	ADJ
cet-12815	29	45	acquired	acquire	VERB
cet-12815	29	46	response	response	NOUN
cet-12815	29	47	curve	curve	NOUN
cet-12815	29	48	from	from	ADP
cet-12815	29	49	the	the	DET
cet-12815	29	50	measurement	measurement	NOUN
cet-12815	29	51	sensors	sensor	NOUN
cet-12815	29	52	,	,	PUNCT
cet-12815	29	53	in	in	ADP
cet-12815	29	54	correspondence	correspondence	NOUN
cet-12815	29	55	with	with	ADP
cet-12815	29	56	the	the	DET
cet-12815	29	57	rise	rise	NOUN
cet-12815	29	58	(	(	PUNCT
cet-12815	29	59	first	first	ADJ
cet-12815	29	60	1	1	NUM
cet-12815	29	61	minute	minute	NOUN
cet-12815	29	62	)	)	PUNCT
cet-12815	29	63	,	,	PUNCT
cet-12815	29	64	intermediate	intermediate	ADJ
cet-12815	29	65	(	(	PUNCT
cet-12815	29	66	mid	mid	ADJ
cet-12815	29	67	1	1	NUM
cet-12815	29	68	minute	minute	NOUN
cet-12815	29	69	)	)	PUNCT
cet-12815	29	70	and	and	CCONJ
cet-12815	29	71	peak	peak	NOUN
cet-12815	29	72	(	(	PUNCT
cet-12815	29	73	last	last	ADJ
cet-12815	29	74	1	1	NUM
cet-12815	29	75	minute	minute	NOUN
cet-12815	29	76	)	)	PUNCT
cet-12815	29	77	periods	period	NOUN
cet-12815	29	78	,	,	PUNCT
cet-12815	29	79	and	and	CCONJ
cet-12815	29	80	(	(	PUNCT
cet-12815	29	81	b	b	NOUN
cet-12815	29	82	)	)	PUNCT
cet-12815	29	83	ioms	iom	NOUN
cet-12815	29	84	,	,	PUNCT
cet-12815	29	85	processing	processing	NOUN
cet-12815	29	86	of	of	ADP
cet-12815	29	87	the	the	DET
cet-12815	29	88	extracted	extract	VERB
cet-12815	29	89	data	datum	NOUN
cet-12815	29	90	for	for	ADP
cet-12815	29	91	the	the	DET
cet-12815	29	92	development	development	NOUN
cet-12815	29	93	of	of	ADP
cet-12815	29	94	the	the	DET
cet-12815	29	95	odour	odour	NOUN
cet-12815	29	96	monitoring	monitoring	NOUN
cet-12815	29	97	models	model	NOUN
cet-12815	29	98	(	(	PUNCT
cet-12815	29	99	omms	omms	NOUN
cet-12815	29	100	)	)	PUNCT
cet-12815	29	101	for	for	ADP
cet-12815	29	102	ocmm	ocmm	NOUN
cet-12815	29	103	and	and	CCONJ
cet-12815	29	104	oqmm	oqmm	ADJ
cet-12815	29	105	application	application	NOUN
cet-12815	29	106	;	;	PUNCT
cet-12815	29	107	v	v	X
cet-12815	29	108	)	)	PUNCT
cet-12815	29	109	comparison	comparison	NOUN
cet-12815	29	110	studies	study	NOUN
cet-12815	29	111	.	.	PUNCT
cet-12815	30	1	2	2	X
cet-12815	30	2	.	.	X
cet-12815	30	3	material	material	NOUN
cet-12815	30	4	and	and	CCONJ
cet-12815	30	5	methods	method	NOUN
cet-12815	30	6	2.1	2.1	NUM
cet-12815	30	7	odour	odour	NOUN
cet-12815	30	8	sampling	sample	VERB
cet-12815	30	9	research	research	NOUN
cet-12815	30	10	studies	study	NOUN
cet-12815	30	11	were	be	AUX
cet-12815	30	12	carried	carry	VERB
cet-12815	30	13	out	out	ADP
cet-12815	30	14	by	by	ADP
cet-12815	30	15	collecting	collect	VERB
cet-12815	30	16	real	real	ADJ
cet-12815	30	17	samples	sample	NOUN
cet-12815	30	18	from	from	ADP
cet-12815	30	19	a	a	DET
cet-12815	30	20	big	big	ADJ
cet-12815	30	21	refinery	refinery	NOUN
cet-12815	30	22	plant	plant	NOUN
cet-12815	30	23	.	.	PUNCT
cet-12815	31	1	a	a	DET
cet-12815	31	2	total	total	NOUN
cet-12815	31	3	of	of	ADP
cet-12815	31	4	135	135	NUM
cet-12815	31	5	gaseous	gaseous	ADJ
cet-12815	31	6	samples	sample	NOUN
cet-12815	31	7	from	from	ADP
cet-12815	31	8	different	different	ADJ
cet-12815	31	9	points	point	NOUN
cet-12815	31	10	,	,	PUNCT
cet-12815	31	11	were	be	AUX
cet-12815	31	12	carried	carry	VERB
cet-12815	31	13	out	out	ADP
cet-12815	31	14	over	over	ADP
cet-12815	31	15	a	a	DET
cet-12815	31	16	period	period	NOUN
cet-12815	31	17	of	of	ADP
cet-12815	31	18	one	one	NUM
cet-12815	31	19	year	year	NOUN
cet-12815	31	20	.	.	PUNCT
cet-12815	32	1	the	the	DET
cet-12815	32	2	collected	collect	VERB
cet-12815	32	3	samples	sample	NOUN
cet-12815	32	4	were	be	AUX
cet-12815	32	5	clustered	cluster	VERB
cet-12815	32	6	into	into	ADP
cet-12815	32	7	seven	seven	NUM
cet-12815	32	8	classes	class	NOUN
cet-12815	32	9	(	(	PUNCT
cet-12815	32	10	s1	s1	PROPN
cet-12815	32	11	–	–	PUNCT
cet-12815	32	12	s7	s7	NOUN
cet-12815	32	13	)	)	PUNCT
cet-12815	32	14	(	(	PUNCT
cet-12815	32	15	figure	figure	NOUN
cet-12815	32	16	1	1	NUM
cet-12815	32	17	)	)	PUNCT
cet-12815	32	18	based	base	VERB
cet-12815	32	19	on	on	ADP
cet-12815	32	20	their	their	PRON
cet-12815	32	21	position	position	NOUN
cet-12815	32	22	and	and	CCONJ
cet-12815	32	23	the	the	DET
cet-12815	32	24	compounds	compound	NOUN
cet-12815	32	25	emitted	emit	VERB
cet-12815	32	26	,	,	PUNCT
cet-12815	32	27	in	in	ADP
cet-12815	32	28	order	order	NOUN
cet-12815	32	29	to	to	PART
cet-12815	32	30	identify	identify	VERB
cet-12815	32	31	the	the	DET
cet-12815	32	32	odour	odour	NOUN
cet-12815	32	33	classes	class	NOUN
cet-12815	32	34	to	to	PART
cet-12815	32	35	be	be	AUX
cet-12815	32	36	investigated	investigate	VERB
cet-12815	32	37	.	.	PUNCT
cet-12815	33	1	the	the	DET
cet-12815	33	2	“	"	PUNCT
cet-12815	33	3	lung	lung	NOUN
cet-12815	33	4	technique	technique	NOUN
cet-12815	33	5	”	"	PUNCT
cet-12815	33	6	was	be	AUX
cet-12815	33	7	employed	employ	VERB
cet-12815	33	8	for	for	ADP
cet-12815	33	9	the	the	DET
cet-12815	33	10	sampling	sampling	NOUN
cet-12815	33	11	by	by	ADP
cet-12815	33	12	withdrawing	withdraw	VERB
cet-12815	33	13	the	the	DET
cet-12815	33	14	inlet	inlet	ADJ
cet-12815	33	15	odorous	odorous	ADJ
cet-12815	33	16	air	air	NOUN
cet-12815	33	17	using	use	VERB
cet-12815	33	18	a	a	DET
cet-12815	33	19	vacuum	vacuum	NOUN
cet-12815	33	20	pump	pump	NOUN
cet-12815	33	21	into	into	ADP
cet-12815	33	22	a	a	DET
cet-12815	33	23	7	7	NUM
cet-12815	33	24	-	-	PUNCT
cet-12815	33	25	l	l	NOUN
cet-12815	33	26	nalophan	nalophan	ADJ
cet-12815	33	27	®	®	NOUN
cet-12815	33	28	bag	bag	NOUN
cet-12815	33	29	.	.	PUNCT
cet-12815	34	1	moreover	moreover	ADV
cet-12815	34	2	,	,	PUNCT
cet-12815	34	3	odourless	odourless	ADJ
cet-12815	34	4	ambient	ambient	ADJ
cet-12815	34	5	air	air	NOUN
cet-12815	34	6	samples	sample	NOUN
cet-12815	34	7	were	be	AUX
cet-12815	34	8	also	also	ADV
cet-12815	34	9	sampled	sample	VERB
cet-12815	34	10	to	to	PART
cet-12815	34	11	build	build	VERB
cet-12815	34	12	the	the	DET
cet-12815	34	13	baseline	baseline	NOUN
cet-12815	34	14	reference	reference	NOUN
cet-12815	34	15	.	.	PUNCT
cet-12815	35	1	figure	figure	NOUN
cet-12815	35	2	1	1	NUM
cet-12815	35	3	:	:	PUNCT
cet-12815	35	4	investigated	investigate	VERB
cet-12815	35	5	petroleum	petroleum	NOUN
cet-12815	35	6	refinery	refinery	NOUN
cet-12815	35	7	plant	plant	NOUN
cet-12815	35	8	,	,	PUNCT
cet-12815	35	9	odour	odour	NOUN
cet-12815	35	10	sources	source	NOUN
cet-12815	35	11	and	and	CCONJ
cet-12815	35	12	classes	class	NOUN
cet-12815	35	13	2.2	2.2	NUM
cet-12815	35	14	ioms	iom	NOUN
cet-12815	35	15	technology	technology	NOUN
cet-12815	35	16	and	and	CCONJ
cet-12815	35	17	dynamic	dynamic	ADJ
cet-12815	35	18	olfactometry	olfactometry	NOUN
cet-12815	35	19	analysis	analysis	NOUN
cet-12815	35	20	the	the	DET
cet-12815	35	21	ioms	iom	NOUN
cet-12815	35	22	presented	present	VERB
cet-12815	35	23	in	in	ADP
cet-12815	35	24	the	the	DET
cet-12815	35	25	study	study	NOUN
cet-12815	35	26	of	of	ADP
cet-12815	35	27	oliva	oliva	PROPN
cet-12815	35	28	et	et	PROPN
cet-12815	35	29	al	al	PROPN
cet-12815	35	30	.	.	PROPN
cet-12815	36	1	(	(	PUNCT
cet-12815	36	2	2021	2021	NUM
cet-12815	36	3	)	)	PUNCT
cet-12815	36	4	has	have	AUX
cet-12815	36	5	been	be	AUX
cet-12815	36	6	employed	employ	VERB
cet-12815	36	7	for	for	ADP
cet-12815	36	8	the	the	DET
cet-12815	36	9	experiments	experiment	NOUN
cet-12815	36	10	.	.	PUNCT
cet-12815	37	1	while	while	SCONJ
cet-12815	37	2	to8	to8	NOUN
cet-12815	37	3	olfactometer	olfactometer	NOUN
cet-12815	37	4	,	,	PUNCT
cet-12815	37	5	with	with	ADP
cet-12815	37	6	4	4	NUM
cet-12815	37	7	panel	panel	NOUN
cet-12815	37	8	and	and	CCONJ
cet-12815	37	9	“	"	PUNCT
cet-12815	37	10	yes	yes	INTJ
cet-12815	37	11	/	/	SYM
cet-12815	37	12	no	no	NOUN
cet-12815	37	13	”	"	PUNCT
cet-12815	37	14	method	method	NOUN
cet-12815	37	15	was	be	AUX
cet-12815	37	16	applied	apply	VERB
cet-12815	37	17	in	in	ADP
cet-12815	37	18	accordance	accordance	NOUN
cet-12815	37	19	with	with	ADP
cet-12815	37	20	en	en	PROPN
cet-12815	37	21	13725	13725	NUM
cet-12815	37	22	,	,	PUNCT
cet-12815	37	23	to	to	PART
cet-12815	37	24	determine	determine	VERB
cet-12815	37	25	the	the	DET
cet-12815	37	26	odour	odour	NOUN
cet-12815	37	27	concentration	concentration	NOUN
cet-12815	37	28	of	of	ADP
cet-12815	37	29	the	the	DET
cet-12815	37	30	collected	collect	VERB
cet-12815	37	31	air	air	NOUN
cet-12815	37	32	samples	sample	NOUN
cet-12815	37	33	,	,	PUNCT
cet-12815	37	34	at	at	ADP
cet-12815	37	35	the	the	DET
cet-12815	37	36	olfactometric	olfactometric	ADJ
cet-12815	37	37	laboratory	laboratory	NOUN
cet-12815	37	38	of	of	ADP
cet-12815	37	39	the	the	DET
cet-12815	37	40	sanitary	sanitary	ADJ
cet-12815	37	41	environmental	environmental	ADJ
cet-12815	37	42	engineering	engineering	NOUN
cet-12815	37	43	division	division	NOUN
cet-12815	37	44	of	of	ADP
cet-12815	37	45	the	the	DET
cet-12815	37	46	university	university	PROPN
cet-12815	37	47	of	of	ADP
cet-12815	37	48	salerno	salerno	PROPN
cet-12815	37	49	.	.	PUNCT
cet-12815	38	1	92	92	NUM
cet-12815	38	2	(	(	PUNCT
cet-12815	38	3	4	4	NUM
cet-12815	38	4	)	)	PUNCT
cet-12815	38	5	(	(	PUNCT
cet-12815	38	6	5	5	X
cet-12815	38	7	)	)	PUNCT
cet-12815	38	8	2.3	2.3	NUM
cet-12815	38	9	feed	feed	NOUN
cet-12815	38	10	-	-	PUNCT
cet-12815	38	11	forward	forward	NOUN
cet-12815	38	12	neural	neural	ADJ
cet-12815	38	13	network	network	NOUN
cet-12815	38	14	feed	feed	NOUN
cet-12815	38	15	-	-	PUNCT
cet-12815	38	16	forward	forward	ADV
cet-12815	38	17	neural	neural	ADJ
cet-12815	38	18	network	network	NOUN
cet-12815	38	19	(	(	PUNCT
cet-12815	38	20	ffnn	ffnn	NOUN
cet-12815	38	21	)	)	PUNCT
cet-12815	38	22	was	be	AUX
cet-12815	38	23	architected	architecte	VERB
cet-12815	38	24	with	with	ADP
cet-12815	38	25	three	three	NUM
cet-12815	38	26	layers	layer	NOUN
cet-12815	38	27	(	(	PUNCT
cet-12815	38	28	input	input	NOUN
cet-12815	38	29	,	,	PUNCT
cet-12815	38	30	hidden	hidden	ADJ
cet-12815	38	31	and	and	CCONJ
cet-12815	38	32	output	output	NOUN
cet-12815	38	33	)	)	PUNCT
cet-12815	38	34	under	under	ADP
cet-12815	38	35	supervised	supervised	ADJ
cet-12815	38	36	learning	learning	NOUN
cet-12815	38	37	by	by	ADP
cet-12815	38	38	using	use	VERB
cet-12815	38	39	back	back	ADV
cet-12815	38	40	-	-	PUNCT
cet-12815	38	41	propagating	propagate	VERB
cet-12815	38	42	algorithm	algorithm	NOUN
cet-12815	38	43	(	(	PUNCT
cet-12815	38	44	e.g.	e.g.	ADV
cet-12815	38	45	,	,	PUNCT
cet-12815	38	46	bayesian	bayesian	NOUN
cet-12815	38	47	regularization	regularization	NOUN
cet-12815	38	48	)	)	PUNCT
cet-12815	38	49	and	and	CCONJ
cet-12815	38	50	tan	tan	PROPN
cet-12815	38	51	-	-	PUNCT
cet-12815	38	52	sigmoid	sigmoid	NOUN
cet-12815	38	53	function	function	NOUN
cet-12815	38	54	[	[	PUNCT
cet-12815	38	55	f(x	f(x	PROPN
cet-12815	38	56	)	)	PUNCT
cet-12815	38	57	=	=	PRON
cet-12815	39	1	(	(	PUNCT
cet-12815	39	2	1+e	1+e	NUM
cet-12815	39	3	-	-	NOUN
cet-12815	39	4	σf)-1	σf)-1	NOUN
cet-12815	39	5	]	]	PUNCT
cet-12815	39	6	to	to	PART
cet-12815	39	7	obtain	obtain	VERB
cet-12815	39	8	the	the	DET
cet-12815	39	9	ideal	ideal	ADJ
cet-12815	39	10	network	network	NOUN
cet-12815	39	11	(	(	PUNCT
cet-12815	39	12	keller	keller	PROPN
cet-12815	39	13	et	et	PROPN
cet-12815	39	14	al	al	PROPN
cet-12815	39	15	.	.	PROPN
cet-12815	39	16	,	,	PUNCT
cet-12815	39	17	2017	2017	NUM
cet-12815	39	18	)	)	PUNCT
cet-12815	39	19	.	.	PUNCT
cet-12815	40	1	the	the	DET
cet-12815	40	2	different	different	ADJ
cet-12815	40	3	electrical	electrical	ADJ
cet-12815	40	4	resistances	resistance	NOUN
cet-12815	40	5	values	value	NOUN
cet-12815	40	6	(	(	PUNCT
cet-12815	40	7	x1	x1	PROPN
cet-12815	40	8	…	…	PUNCT
cet-12815	40	9	xn	xn	X
cet-12815	40	10	)	)	PUNCT
cet-12815	40	11	serve	serve	VERB
cet-12815	40	12	as	as	ADP
cet-12815	40	13	inputs	input	NOUN
cet-12815	40	14	.	.	PUNCT
cet-12815	41	1	7	7	NUM
cet-12815	41	2	output	output	NOUN
cet-12815	41	3	classes	class	NOUN
cet-12815	41	4	(	(	PUNCT
cet-12815	41	5	λ1	λ1	PROPN
cet-12815	41	6	…	…	SYM
cet-12815	41	7	λ7	λ7	PROPN
cet-12815	41	8	)	)	PUNCT
cet-12815	41	9	(	(	PUNCT
cet-12815	41	10	figure	figure	NOUN
cet-12815	41	11	2a	2a	NUM
cet-12815	41	12	)	)	PUNCT
cet-12815	41	13	were	be	AUX
cet-12815	41	14	used	use	VERB
cet-12815	41	15	for	for	ADP
cet-12815	41	16	the	the	DET
cet-12815	41	17	development	development	NOUN
cet-12815	41	18	of	of	ADP
cet-12815	41	19	the	the	DET
cet-12815	41	20	odour	odour	NOUN
cet-12815	41	21	classification	classification	NOUN
cet-12815	41	22	monitoring	monitoring	NOUN
cet-12815	41	23	model	model	NOUN
cet-12815	41	24	(	(	PUNCT
cet-12815	41	25	ocmm	ocmm	NOUN
cet-12815	41	26	)	)	PUNCT
cet-12815	41	27	and	and	CCONJ
cet-12815	41	28	one	one	NUM
cet-12815	41	29	(	(	PUNCT
cet-12815	41	30	δ	δ	PROPN
cet-12815	41	31	,	,	PUNCT
cet-12815	41	32	ou	ou	PROPN
cet-12815	41	33	m-3	m-3	PROPN
cet-12815	41	34	)	)	PUNCT
cet-12815	42	1	(	(	PUNCT
cet-12815	42	2	figure	figure	NOUN
cet-12815	42	3	2b	2b	NOUN
cet-12815	42	4	)	)	PUNCT
cet-12815	42	5	as	as	ADP
cet-12815	42	6	target	target	NOUN
cet-12815	42	7	output	output	NOUN
cet-12815	42	8	for	for	ADP
cet-12815	42	9	the	the	DET
cet-12815	42	10	odour	odour	ADJ
cet-12815	42	11	quantification	quantification	NOUN
cet-12815	42	12	monitoring	monitoring	NOUN
cet-12815	42	13	model	model	NOUN
cet-12815	42	14	(	(	PUNCT
cet-12815	42	15	oqmm	oqmm	ADJ
cet-12815	42	16	)	)	PUNCT
cet-12815	42	17	.	.	PUNCT
cet-12815	43	1	the	the	DET
cet-12815	43	2	ideal	ideal	ADJ
cet-12815	43	3	ffnn	ffnn	NOUN
cet-12815	43	4	is	be	AUX
cet-12815	43	5	based	base	VERB
cet-12815	43	6	on	on	ADP
cet-12815	43	7	the	the	DET
cet-12815	43	8	number	number	NOUN
cet-12815	43	9	of	of	ADP
cet-12815	43	10	nodes	node	NOUN
cet-12815	43	11	in	in	ADP
cet-12815	43	12	the	the	DET
cet-12815	43	13	hidden	hide	VERB
cet-12815	43	14	layer	layer	NOUN
cet-12815	43	15	.	.	PUNCT
cet-12815	44	1	figure	figure	NOUN
cet-12815	44	2	2	2	NUM
cet-12815	44	3	:	:	PUNCT
cet-12815	44	4	target	target	VERB
cet-12815	44	5	ffnn	ffnn	NOUN
cet-12815	44	6	’s	’s	PART
cet-12815	44	7	typology	typology	NOUN
cet-12815	44	8	for	for	ADP
cet-12815	44	9	odour	odour	ADJ
cet-12815	44	10	classification	classification	NOUN
cet-12815	44	11	(	(	PUNCT
cet-12815	44	12	a	a	NOUN
cet-12815	44	13	)	)	PUNCT
cet-12815	44	14	and	and	CCONJ
cet-12815	44	15	odour	odour	ADJ
cet-12815	44	16	quantification	quantification	NOUN
cet-12815	44	17	(	(	PUNCT
cet-12815	44	18	b	b	NOUN
cet-12815	44	19	)	)	PUNCT
cet-12815	44	20	monitoring	monitor	VERB
cet-12815	44	21	model	model	NOUN
cet-12815	44	22	2.4	2.4	NUM
cet-12815	44	23	linear	linear	NOUN
cet-12815	44	24	discriminant	discriminant	ADJ
cet-12815	44	25	analysis	analysis	NOUN
cet-12815	44	26	linear	linear	ADJ
cet-12815	44	27	discriminant	discriminant	ADJ
cet-12815	44	28	analysis	analysis	NOUN
cet-12815	44	29	(	(	PUNCT
cet-12815	44	30	lda	lda	PROPN
cet-12815	44	31	)	)	PUNCT
cet-12815	44	32	was	be	AUX
cet-12815	44	33	used	use	VERB
cet-12815	44	34	to	to	PART
cet-12815	44	35	reduce	reduce	VERB
cet-12815	44	36	the	the	DET
cet-12815	44	37	number	number	NOUN
cet-12815	44	38	of	of	ADP
cet-12815	44	39	features	feature	NOUN
cet-12815	44	40	before	before	ADP
cet-12815	44	41	classification	classification	NOUN
cet-12815	44	42	.	.	PUNCT
cet-12815	45	1	the	the	DET
cet-12815	45	2	consequent	consequent	ADJ
cet-12815	45	3	ocmm	ocmm	NOUN
cet-12815	45	4	seeks	seek	VERB
cet-12815	45	5	a	a	DET
cet-12815	45	6	linear	linear	ADJ
cet-12815	45	7	transformation	transformation	NOUN
cet-12815	45	8	that	that	PRON
cet-12815	45	9	maximizes	maximize	VERB
cet-12815	45	10	the	the	DET
cet-12815	45	11	separation	separation	NOUN
cet-12815	45	12	of	of	ADP
cet-12815	45	13	classes	class	NOUN
cet-12815	45	14	in	in	ADP
cet-12815	45	15	a	a	DET
cet-12815	45	16	reduced	reduced	ADJ
cet-12815	45	17	dimensional	dimensional	ADJ
cet-12815	45	18	space	space	NOUN
cet-12815	45	19	(	(	PUNCT
cet-12815	45	20	zarra	zarra	PROPN
cet-12815	45	21	et	et	PROPN
cet-12815	45	22	al	al	PROPN
cet-12815	45	23	.	.	PROPN
cet-12815	45	24	,	,	PUNCT
cet-12815	45	25	2021a	2021a	NUM
cet-12815	45	26	)	)	PUNCT
cet-12815	45	27	.	.	PUNCT
cet-12815	46	1	during	during	ADP
cet-12815	46	2	the	the	DET
cet-12815	46	3	calibration	calibration	NOUN
cet-12815	46	4	phase	phase	NOUN
cet-12815	46	5	in	in	ADP
cet-12815	46	6	the	the	DET
cet-12815	46	7	lda	lda	PROPN
cet-12815	46	8	method	method	NOUN
cet-12815	46	9	,	,	PUNCT
cet-12815	46	10	the	the	DET
cet-12815	46	11	coefficients	coefficient	NOUN
cet-12815	46	12	are	be	AUX
cet-12815	46	13	calculated	calculate	VERB
cet-12815	46	14	;	;	PUNCT
cet-12815	46	15	in	in	ADP
cet-12815	46	16	our	our	PRON
cet-12815	46	17	case	case	NOUN
cet-12815	46	18	:	:	PUNCT
cet-12815	46	19	k	k	X
cet-12815	46	20	,	,	PUNCT
cet-12815	46	21	a	a	PRON
cet-12815	46	22	,	,	PUNCT
cet-12815	46	23	b	b	NOUN
cet-12815	46	24	…	…	PUNCT
cet-12815	46	25	α	α	NOUN
cet-12815	46	26	of	of	ADP
cet-12815	46	27	the	the	DET
cet-12815	46	28	different	different	ADJ
cet-12815	46	29	discriminant	discriminant	NOUN
cet-12815	46	30	function	function	NOUN
cet-12815	46	31	equations	equation	NOUN
cet-12815	46	32	(	(	PUNCT
cet-12815	46	33	γ	γ	X
cet-12815	46	34	)	)	PUNCT
cet-12815	46	35	(	(	PUNCT
cet-12815	46	36	equation	equation	NOUN
cet-12815	46	37	1	1	NUM
cet-12815	46	38	-	-	SYM
cet-12815	46	39	3	3	NUM
cet-12815	46	40	)	)	PUNCT
cet-12815	46	41	defined	define	VERB
cet-12815	46	42	for	for	ADP
cet-12815	46	43	each	each	DET
cet-12815	46	44	representative	representative	ADJ
cet-12815	46	45	group	group	NOUN
cet-12815	46	46	(	(	PUNCT
cet-12815	46	47	i.e.	i.e.	X
cet-12815	46	48	,	,	PUNCT
cet-12815	46	49	λ	λ	PROPN
cet-12815	46	50	,	,	PUNCT
cet-12815	46	51	β	β	X
cet-12815	46	52	and	and	CCONJ
cet-12815	46	53	nth	nth	NOUN
cet-12815	46	54	)	)	PUNCT
cet-12815	46	55	.	.	PUNCT
cet-12815	47	1	to	to	PART
cet-12815	47	2	do	do	VERB
cet-12815	47	3	this	this	PRON
cet-12815	47	4	,	,	PUNCT
cet-12815	47	5	the	the	DET
cet-12815	47	6	output	output	NOUN
cet-12815	47	7	values	value	NOUN
cet-12815	47	8	of	of	ADP
cet-12815	47	9	the	the	DET
cet-12815	47	10	sensors	sensor	NOUN
cet-12815	47	11	are	be	AUX
cet-12815	47	12	substituted	substitute	VERB
cet-12815	47	13	for	for	ADP
cet-12815	47	14	the	the	DET
cet-12815	47	15	variables	variable	NOUN
cet-12815	47	16	(	(	PUNCT
cet-12815	47	17	x1	x1	PROPN
cet-12815	47	18	,	,	PUNCT
cet-12815	47	19	x2	x2	PROPN
cet-12815	47	20	...	...	PUNCT
cet-12815	48	1	xn	xn	X
cet-12815	48	2	)	)	PUNCT
cet-12815	48	3	γ	γ	X
cet-12815	48	4	λ	λ	NOUN
cet-12815	48	5	=	=	PUNCT
cet-12815	48	6	k	k	PROPN
cet-12815	48	7	1	1	NUM
cet-12815	48	8	+	+	CCONJ
cet-12815	48	9	ax	ax	NOUN
cet-12815	48	10	1	1	NUM
cet-12815	48	11	+	+	CCONJ
cet-12815	48	12	bx	bx	PROPN
cet-12815	48	13	2	2	NUM
cet-12815	48	14	+	+	CCONJ
cet-12815	48	15	…	…	PUNCT
cet-12815	48	16	αx	αx	PRON
cet-12815	48	17	n	n	ADV
cet-12815	48	18	γ	γ	X
cet-12815	48	19	β	β	X
cet-12815	48	20	=	=	SYM
cet-12815	48	21	k	k	PROPN
cet-12815	48	22	2	2	X
cet-12815	49	1	+	+	CCONJ
cet-12815	49	2	ax	ax	NOUN
cet-12815	49	3	1	1	NUM
cet-12815	49	4	+	+	CCONJ
cet-12815	49	5	bx	bx	PROPN
cet-12815	49	6	2	2	NUM
cet-12815	49	7	+	+	CCONJ
cet-12815	49	8	…	…	PUNCT
cet-12815	49	9	αx	αx	PRON
cet-12815	49	10	n	n	NOUN
cet-12815	49	11	γ	γ	X
cet-12815	49	12	nth	nth	NOUN
cet-12815	49	13	=	=	SYM
cet-12815	49	14	k	k	PROPN
cet-12815	49	15	3	3	NUM
cet-12815	49	16	+	+	CCONJ
cet-12815	49	17	ax	ax	NOUN
cet-12815	49	18	1	1	NUM
cet-12815	49	19	+	+	CCONJ
cet-12815	49	20	bx	bx	PROPN
cet-12815	49	21	2	2	NUM
cet-12815	49	22	+	+	CCONJ
cet-12815	49	23	…	…	PUNCT
cet-12815	49	24	αx	αx	PRON
cet-12815	49	25	n	n	CCONJ
cet-12815	49	26	2.5	2.5	NUM
cet-12815	49	27	partial	partial	ADJ
cet-12815	49	28	least	least	ADJ
cet-12815	49	29	square	square	ADJ
cet-12815	49	30	meanwhile	meanwhile	ADV
cet-12815	49	31	the	the	DET
cet-12815	49	32	partial	partial	ADJ
cet-12815	49	33	least	least	ADJ
cet-12815	49	34	square	square	ADJ
cet-12815	49	35	method	method	NOUN
cet-12815	49	36	was	be	AUX
cet-12815	49	37	used	use	VERB
cet-12815	49	38	for	for	ADP
cet-12815	49	39	the	the	DET
cet-12815	49	40	oqmm	oqmm	ADJ
cet-12815	49	41	.	.	PUNCT
cet-12815	50	1	pls	pls	PROPN
cet-12815	50	2	finds	find	VERB
cet-12815	50	3	the	the	DET
cet-12815	50	4	best	good	ADJ
cet-12815	50	5	relationship	relationship	NOUN
cet-12815	50	6	between	between	ADP
cet-12815	50	7	dependent	dependent	ADJ
cet-12815	50	8	variable	variable	NOUN
cet-12815	50	9	(	(	PUNCT
cet-12815	50	10	y	y	NOUN
cet-12815	50	11	)	)	PUNCT
cet-12815	50	12	and	and	CCONJ
cet-12815	50	13	independent	independent	ADJ
cet-12815	50	14	variables	variable	NOUN
cet-12815	50	15	(	(	PUNCT
cet-12815	50	16	xm	xm	NOUN
cet-12815	50	17	)	)	PUNCT
cet-12815	50	18	for	for	ADP
cet-12815	50	19	prediction	prediction	NOUN
cet-12815	50	20	by	by	ADP
cet-12815	50	21	considering	consider	VERB
cet-12815	50	22	the	the	DET
cet-12815	50	23	ideal	ideal	ADJ
cet-12815	50	24	number	number	NOUN
cet-12815	50	25	of	of	ADP
cet-12815	50	26	components	component	NOUN
cet-12815	50	27	.	.	PUNCT
cet-12815	51	1	moreover	moreover	ADV
cet-12815	51	2	,	,	PUNCT
cet-12815	51	3	during	during	ADP
cet-12815	51	4	pls	pls	PROPN
cet-12815	51	5	training	training	NOUN
cet-12815	51	6	,	,	PUNCT
cet-12815	51	7	cumulative	cumulative	ADJ
cet-12815	51	8	(	(	PUNCT
cet-12815	51	9	cum	cum	NOUN
cet-12815	51	10	)	)	PUNCT
cet-12815	51	11	r2	r2	PROPN
cet-12815	51	12	and	and	CCONJ
cet-12815	51	13	q2	q2	NOUN
cet-12815	51	14	are	be	AUX
cet-12815	51	15	considered	consider	VERB
cet-12815	51	16	.	.	PUNCT
cet-12815	52	1	q2	q2	PROPN
cet-12815	52	2	is	be	AUX
cet-12815	52	3	another	another	DET
cet-12815	52	4	r2	r2	NOUN
cet-12815	52	5	when	when	SCONJ
cet-12815	52	6	the	the	DET
cet-12815	52	7	model	model	NOUN
cet-12815	52	8	applied	apply	VERB
cet-12815	52	9	to	to	ADP
cet-12815	52	10	a	a	DET
cet-12815	52	11	test	test	NOUN
cet-12815	52	12	set	set	NOUN
cet-12815	52	13	,	,	PUNCT
cet-12815	52	14	meaning	mean	VERB
cet-12815	52	15	adding	add	VERB
cet-12815	52	16	more	more	ADJ
cet-12815	52	17	variables	variable	NOUN
cet-12815	52	18	can	can	AUX
cet-12815	52	19	increase	increase	VERB
cet-12815	52	20	the	the	DET
cet-12815	52	21	r2	r2	NOUN
cet-12815	52	22	,	,	PUNCT
cet-12815	52	23	but	but	CCONJ
cet-12815	52	24	might	might	AUX
cet-12815	52	25	not	not	PART
cet-12815	52	26	make	make	VERB
cet-12815	52	27	q2	q2	NOUN
cet-12815	52	28	increase	increase	NOUN
cet-12815	52	29	(	(	PUNCT
cet-12815	52	30	wang	wang	PROPN
cet-12815	52	31	et	et	PROPN
cet-12815	52	32	al	al	PROPN
cet-12815	52	33	.	.	PROPN
cet-12815	52	34	,	,	PUNCT
cet-12815	52	35	2019	2019	NUM
cet-12815	52	36	)	)	PUNCT
cet-12815	52	37	.	.	PUNCT
cet-12815	53	1	considering	consider	VERB
cet-12815	53	2	these	these	DET
cet-12815	53	3	components	component	NOUN
cet-12815	53	4	,	,	PUNCT
cet-12815	53	5	the	the	DET
cet-12815	53	6	pls	pls	NOUN
cet-12815	53	7	model	model	NOUN
cet-12815	53	8	can	can	AUX
cet-12815	53	9	be	be	AUX
cet-12815	53	10	expressed	express	VERB
cet-12815	53	11	in	in	ADP
cet-12815	53	12	the	the	DET
cet-12815	53	13	form	form	NOUN
cet-12815	53	14	of	of	ADP
cet-12815	53	15	multiple	multiple	ADJ
cet-12815	53	16	linear	linear	ADJ
cet-12815	53	17	regression	regression	NOUN
cet-12815	53	18	model	model	NOUN
cet-12815	53	19	(	(	PUNCT
cet-12815	53	20	equation	equation	NOUN
cet-12815	53	21	4	4	NUM
cet-12815	53	22	):	):	PUNCT
cet-12815	53	23	𝑌	𝑌	PROPN
cet-12815	53	24	=	=	PUNCT
cet-12815	53	25	𝛽0	𝛽0	PROPN
cet-12815	53	26	+	+	CCONJ
cet-12815	53	27	𝛽1𝑋	𝛽1𝑋	SYM
cet-12815	53	28	1	1	NUM
cet-12815	53	29	+	+	CCONJ
cet-12815	53	30	𝛽2𝑋2	𝛽2𝑋2	PROPN
cet-12815	53	31	+	+	NUM
cet-12815	53	32	.	.	PUNCT
cet-12815	53	33	.	.	PUNCT
cet-12815	53	34	.	.	PUNCT
cet-12815	54	1	+	+	CCONJ
cet-12815	54	2	𝛽𝑛𝑋𝑛	𝛽𝑛𝑋𝑛	NOUN
cet-12815	54	3	where	where	SCONJ
cet-12815	54	4	:	:	PUNCT
cet-12815	54	5	−	−	PROPN
cet-12815	54	6	𝛽𝑖	𝛽𝑖	ADJ
cet-12815	54	7	,	,	PUNCT
cet-12815	54	8	𝑖	𝑖	PROPN
cet-12815	54	9	=	=	SYM
cet-12815	54	10	14	14	NUM
cet-12815	54	11	are	be	AUX
cet-12815	54	12	the	the	DET
cet-12815	54	13	coefficient	coefficient	NOUN
cet-12815	54	14	of	of	ADP
cet-12815	54	15	the	the	DET
cet-12815	54	16	predictive	predictive	ADJ
cet-12815	54	17	variables	variable	NOUN
cet-12815	54	18	(	(	PUNCT
cet-12815	54	19	xn	xn	PROPN
cet-12815	54	20	)	)	PUNCT
cet-12815	54	21	.	.	PUNCT
cet-12815	55	1	2.6	2.6	NUM
cet-12815	55	2	data	datum	NOUN
cet-12815	55	3	reduction	reduction	NOUN
cet-12815	55	4	ioms	iom	VERB
cet-12815	55	5	registered	register	VERB
cet-12815	55	6	signals	signal	NOUN
cet-12815	55	7	given	give	VERB
cet-12815	55	8	in	in	ADP
cet-12815	55	9	kω	kω	PROPN
cet-12815	55	10	(	(	PUNCT
cet-12815	55	11	equation	equation	NOUN
cet-12815	55	12	5	5	NUM
cet-12815	55	13	):	):	PUNCT
cet-12815	55	14	rs	rs	NOUN
cet-12815	55	15	=	=	SYM
cet-12815	55	16	(	(	PUNCT
cet-12815	55	17	r	r	NOUN
cet-12815	55	18	–	–	PUNCT
cet-12815	55	19	ro	ro	NOUN
cet-12815	55	20	)	)	PUNCT
cet-12815	55	21	/	/	SYM
cet-12815	56	1	ro	ro	INTJ
cet-12815	57	1	where	where	SCONJ
cet-12815	57	2	:	:	PUNCT
cet-12815	57	3	−	−	PROPN
cet-12815	57	4	r	r	NOUN
cet-12815	57	5	=	=	NOUN
cet-12815	57	6	resistance	resistance	NOUN
cet-12815	57	7	value	value	NOUN
cet-12815	57	8	after	after	ADP
cet-12815	57	9	the	the	DET
cet-12815	57	10	reaction	reaction	NOUN
cet-12815	57	11	with	with	ADP
cet-12815	57	12	a	a	DET
cet-12815	57	13	gaseous	gaseous	ADJ
cet-12815	57	14	compound	compound	NOUN
cet-12815	57	15	;	;	PUNCT
cet-12815	57	16	−	−	PROPN
cet-12815	57	17	ro	ro	X
cet-12815	57	18	=	=	NOUN
cet-12815	57	19	default	default	NOUN
cet-12815	57	20	resistance	resistance	NOUN
cet-12815	57	21	value	value	NOUN
cet-12815	57	22	of	of	ADP
cet-12815	57	23	the	the	DET
cet-12815	57	24	sensor	sensor	NOUN
cet-12815	57	25	(	(	PUNCT
cet-12815	57	26	baseline	baseline	NOUN
cet-12815	57	27	resistance	resistance	NOUN
cet-12815	57	28	)	)	PUNCT
cet-12815	57	29	.	.	PUNCT
cet-12815	58	1	the	the	DET
cet-12815	58	2	relationship	relationship	NOUN
cet-12815	58	3	between	between	ADP
cet-12815	58	4	resistance	resistance	NOUN
cet-12815	58	5	and	and	CCONJ
cet-12815	58	6	the	the	DET
cet-12815	58	7	gas	gas	NOUN
cet-12815	58	8	concentration	concentration	NOUN
cet-12815	58	9	is	be	AUX
cet-12815	58	10	inversely	inversely	ADV
cet-12815	58	11	proportional	proportional	ADJ
cet-12815	58	12	(	(	PUNCT
cet-12815	58	13	equation	equation	NOUN
cet-12815	58	14	6	6	NUM
cet-12815	58	15	):	):	PUNCT
cet-12815	58	16	(	(	PUNCT
cet-12815	58	17	a	a	X
cet-12815	58	18	)	)	PUNCT
cet-12815	58	19	(	(	PUNCT
cet-12815	58	20	b	b	NOUN
cet-12815	58	21	)	)	PUNCT
cet-12815	58	22	(	(	PUNCT
cet-12815	58	23	1	1	X
cet-12815	58	24	)	)	PUNCT
cet-12815	58	25	(	(	PUNCT
cet-12815	58	26	2	2	NUM
cet-12815	58	27	)	)	PUNCT
cet-12815	58	28	(	(	PUNCT
cet-12815	58	29	3	3	X
cet-12815	58	30	)	)	PUNCT
cet-12815	58	31	93	93	NUM
cet-12815	58	32	r	r	NOUN
cet-12815	58	33	(	(	PUNCT
cet-12815	58	34	kω	kω	NOUN
cet-12815	58	35	)	)	PUNCT
cet-12815	58	36	=	=	NOUN
cet-12815	58	37	a(c)–α	a(c)–α	NOUN
cet-12815	58	38	where	where	SCONJ
cet-12815	58	39	:	:	PUNCT
cet-12815	58	40	−	−	PROPN
cet-12815	58	41	r	r	NOUN
cet-12815	58	42	=	=	SYM
cet-12815	58	43	electrical	electrical	ADJ
cet-12815	58	44	resistance	resistance	NOUN
cet-12815	58	45	supplied	supply	VERB
cet-12815	58	46	by	by	ADP
cet-12815	58	47	the	the	DET
cet-12815	58	48	sensor	sensor	NOUN
cet-12815	58	49	;	;	PUNCT
cet-12815	58	50	−	−	PROPN
cet-12815	58	51	a	a	DET
cet-12815	58	52	=	=	NOUN
cet-12815	58	53	constant	constant	ADJ
cet-12815	58	54	defined	define	VERB
cet-12815	58	55	by	by	ADP
cet-12815	58	56	the	the	DET
cet-12815	58	57	material	material	NOUN
cet-12815	58	58	;	;	PUNCT
cet-12815	58	59	−	−	PROPN
cet-12815	58	60	c	c	NOUN
cet-12815	58	61	=	=	SYM
cet-12815	58	62	concentration	concentration	NOUN
cet-12815	58	63	of	of	ADP
cet-12815	58	64	analyzed	analyze	VERB
cet-12815	58	65	gas	gas	NOUN
cet-12815	58	66	;	;	PUNCT
cet-12815	58	67	−	−	PROPN
cet-12815	58	68	α	α	NOUN
cet-12815	58	69	=	=	NOUN
cet-12815	58	70	slope	slope	NOUN
cet-12815	58	71	(	(	PUNCT
cet-12815	58	72	for	for	ADP
cet-12815	58	73	instance	instance	NOUN
cet-12815	58	74	the	the	DET
cet-12815	58	75	experimental	experimental	ADJ
cet-12815	58	76	quantity	quantity	NOUN
cet-12815	58	77	of	of	ADP
cet-12815	58	78	the	the	DET
cet-12815	58	79	gas	gas	NOUN
cet-12815	58	80	)	)	PUNCT
cet-12815	58	81	.	.	PUNCT
cet-12815	59	1	since	since	SCONJ
cet-12815	59	2	the	the	DET
cet-12815	59	3	acquisition	acquisition	NOUN
cet-12815	59	4	time	time	NOUN
cet-12815	59	5	is	be	AUX
cet-12815	59	6	2	2	NUM
cet-12815	59	7	minutes	minute	NOUN
cet-12815	59	8	,	,	PUNCT
cet-12815	59	9	3	3	NUM
cet-12815	59	10	extracted	extract	VERB
cet-12815	59	11	data	datum	NOUN
cet-12815	59	12	are	be	AUX
cet-12815	59	13	taken	take	VERB
cet-12815	59	14	into	into	ADP
cet-12815	59	15	account	account	NOUN
cet-12815	59	16	:	:	PUNCT
cet-12815	59	17	rise	rise	NOUN
cet-12815	59	18	(	(	PUNCT
cet-12815	59	19	first	first	ADJ
cet-12815	59	20	1	1	NUM
cet-12815	59	21	min	min	NOUN
cet-12815	59	22	)	)	PUNCT
cet-12815	59	23	,	,	PUNCT
cet-12815	59	24	intermediate	intermediate	ADJ
cet-12815	59	25	(	(	PUNCT
cet-12815	59	26	mid	mid	ADJ
cet-12815	59	27	1	1	NUM
cet-12815	59	28	min	min	NOUN
cet-12815	59	29	)	)	PUNCT
cet-12815	59	30	and	and	CCONJ
cet-12815	59	31	peak	peak	NOUN
cet-12815	59	32	(	(	PUNCT
cet-12815	59	33	last	last	ADJ
cet-12815	59	34	1	1	NUM
cet-12815	59	35	min	min	NOUN
cet-12815	59	36	)	)	PUNCT
cet-12815	59	37	.	.	PUNCT
cet-12815	60	1	2.7	2.7	NUM
cet-12815	60	2	statistical	statistical	ADJ
cet-12815	60	3	analysis	analysis	NOUN
cet-12815	60	4	and	and	CCONJ
cet-12815	60	5	comparison	comparison	NOUN
cet-12815	60	6	study	study	NOUN
cet-12815	60	7	microsoft	microsoft	PROPN
cet-12815	60	8	excel	excel	PROPN
cet-12815	60	9	,	,	PUNCT
cet-12815	60	10	statistica	statistica	PROPN
cet-12815	60	11	statsoft	statsoft	VERB
cet-12815	60	12	10	10	NUM
cet-12815	60	13	and	and	CCONJ
cet-12815	60	14	matlab	matlab	PROPN
cet-12815	60	15	r2021a	r2021a	PROPN
cet-12815	60	16	were	be	AUX
cet-12815	60	17	used	use	VERB
cet-12815	60	18	as	as	ADP
cet-12815	60	19	statistical	statistical	ADJ
cet-12815	60	20	software	software	NOUN
cet-12815	60	21	.	.	PUNCT
cet-12815	61	1	while	while	SCONJ
cet-12815	61	2	classification	classification	NOUN
cet-12815	61	3	accuracy	accuracy	NOUN
cet-12815	61	4	rates	rate	NOUN
cet-12815	61	5	(	(	PUNCT
cet-12815	61	6	car	car	NOUN
cet-12815	61	7	,	,	PUNCT
cet-12815	61	8	%	%	NOUN
cet-12815	61	9	)	)	PUNCT
cet-12815	61	10	,	,	PUNCT
cet-12815	61	11	coefficient	coefficient	NOUN
cet-12815	61	12	of	of	ADP
cet-12815	61	13	determination	determination	NOUN
cet-12815	61	14	(	(	PUNCT
cet-12815	61	15	r2	r2	PROPN
cet-12815	61	16	)	)	PUNCT
cet-12815	61	17	and	and	CCONJ
cet-12815	61	18	root	root	NOUN
cet-12815	61	19	-	-	PUNCT
cet-12815	61	20	mean	mean	NOUN
cet-12815	61	21	square	square	ADJ
cet-12815	61	22	errors	error	NOUN
cet-12815	61	23	(	(	PUNCT
cet-12815	61	24	rmse	rmse	NOUN
cet-12815	61	25	)	)	PUNCT
cet-12815	61	26	served	serve	VERB
cet-12815	61	27	as	as	ADP
cet-12815	61	28	criteria	criterion	NOUN
cet-12815	61	29	for	for	ADP
cet-12815	61	30	the	the	DET
cet-12815	61	31	accuracy	accuracy	NOUN
cet-12815	61	32	tests	test	NOUN
cet-12815	61	33	.	.	PUNCT
cet-12815	62	1	comparison	comparison	NOUN
cet-12815	62	2	study	study	NOUN
cet-12815	62	3	was	be	AUX
cet-12815	62	4	based	base	VERB
cet-12815	62	5	on	on	ADP
cet-12815	62	6	which	which	PRON
cet-12815	62	7	of	of	ADP
cet-12815	62	8	the	the	DET
cet-12815	62	9	models	model	NOUN
cet-12815	62	10	provided	provide	VERB
cet-12815	62	11	the	the	DET
cet-12815	62	12	best	good	ADJ
cet-12815	62	13	criteria	criterion	NOUN
cet-12815	62	14	.	.	PUNCT
cet-12815	63	1	3	3	X
cet-12815	63	2	.	.	NOUN
cet-12815	63	3	results	result	VERB
cet-12815	63	4	3.1	3.1	NUM
cet-12815	63	5	odour	odour	NOUN
cet-12815	63	6	emissions	emission	NOUN
cet-12815	63	7	characterization	characterization	NOUN
cet-12815	63	8	in	in	ADP
cet-12815	63	9	terms	term	NOUN
cet-12815	63	10	of	of	ADP
cet-12815	63	11	odour	odour	NOUN
cet-12815	63	12	concentration	concentration	NOUN
cet-12815	63	13	figure	figure	NOUN
cet-12815	63	14	3	3	NUM
cet-12815	63	15	highlights	highlight	NOUN
cet-12815	63	16	the	the	DET
cet-12815	63	17	box	box	NOUN
cet-12815	63	18	-	-	PUNCT
cet-12815	63	19	whisker	whisker	NOUN
cet-12815	63	20	diagram	diagram	NOUN
cet-12815	63	21	of	of	ADP
cet-12815	63	22	all	all	DET
cet-12815	63	23	the	the	DET
cet-12815	63	24	determined	determined	ADJ
cet-12815	63	25	odour	odour	NOUN
cet-12815	63	26	concentrations	concentration	NOUN
cet-12815	63	27	for	for	ADP
cet-12815	63	28	the	the	DET
cet-12815	63	29	overall	overall	ADJ
cet-12815	63	30	monitored	monitored	ADJ
cet-12815	63	31	period	period	NOUN
cet-12815	63	32	.	.	PUNCT
cet-12815	64	1	as	as	SCONJ
cet-12815	64	2	shown	show	VERB
cet-12815	64	3	,	,	PUNCT
cet-12815	64	4	the	the	DET
cet-12815	64	5	minimum	minimum	ADJ
cet-12815	64	6	value	value	NOUN
cet-12815	64	7	was	be	AUX
cet-12815	64	8	found	find	VERB
cet-12815	64	9	to	to	PART
cet-12815	64	10	be	be	AUX
cet-12815	64	11	50	50	NUM
cet-12815	64	12	oue	oue	NOUN
cet-12815	64	13	m-3	m-3	NOUN
cet-12815	64	14	,	,	PUNCT
cet-12815	64	15	while	while	SCONJ
cet-12815	64	16	the	the	DET
cet-12815	64	17	maximum	maximum	ADJ
cet-12815	64	18	value	value	NOUN
cet-12815	64	19	of	of	ADP
cet-12815	64	20	1800	1800	NUM
cet-12815	64	21	oue	oue	NOUN
cet-12815	64	22	m-3	m-3	PROPN
cet-12815	64	23	,	,	PUNCT
cet-12815	64	24	covering	cover	VERB
cet-12815	64	25	a	a	DET
cet-12815	64	26	confined	confine	VERB
cet-12815	64	27	variability	variability	NOUN
cet-12815	64	28	of	of	ADP
cet-12815	64	29	values	value	NOUN
cet-12815	64	30	.	.	PUNCT
cet-12815	65	1	the	the	DET
cet-12815	65	2	average	average	ADJ
cet-12815	65	3	measured	measure	VERB
cet-12815	65	4	odour	odour	NOUN
cet-12815	65	5	concentration	concentration	NOUN
cet-12815	65	6	is	be	AUX
cet-12815	65	7	366	366	NUM
cet-12815	65	8	oue	oue	NOUN
cet-12815	65	9	m-3	m-3	PROPN
cet-12815	65	10	and	and	CCONJ
cet-12815	65	11	the	the	DET
cet-12815	65	12	standard	standard	ADJ
cet-12815	65	13	deviation	deviation	NOUN
cet-12815	65	14	is	be	AUX
cet-12815	65	15	270	270	NUM
cet-12815	65	16	oue	oue	NOUN
cet-12815	65	17	m-3	m-3	X
cet-12815	65	18	.	.	PUNCT
cet-12815	66	1	furthermore	furthermore	ADV
cet-12815	66	2	,	,	PUNCT
cet-12815	66	3	it	it	PRON
cet-12815	66	4	has	have	AUX
cet-12815	66	5	been	be	AUX
cet-12815	66	6	found	find	VERB
cet-12815	66	7	that	that	SCONJ
cet-12815	66	8	most	most	ADJ
cet-12815	66	9	of	of	ADP
cet-12815	66	10	the	the	DET
cet-12815	66	11	measured	measure	VERB
cet-12815	66	12	data	datum	NOUN
cet-12815	66	13	belong	belong	VERB
cet-12815	66	14	to	to	ADP
cet-12815	66	15	the	the	DET
cet-12815	66	16	3	3	NUM
cet-12815	66	17	-	-	PUNCT
cet-12815	66	18	4th	4th	ADJ
cet-12815	66	19	quartile	quartile	NOUN
cet-12815	66	20	,	,	PUNCT
cet-12815	66	21	characterized	characterize	VERB
cet-12815	66	22	by	by	ADP
cet-12815	66	23	an	an	DET
cet-12815	66	24	odour	odour	NOUN
cet-12815	66	25	concentration	concentration	NOUN
cet-12815	66	26	included	include	VERB
cet-12815	66	27	between	between	ADP
cet-12815	66	28	500	500	NUM
cet-12815	66	29	–	–	SYM
cet-12815	66	30	800	800	NUM
cet-12815	66	31	oue	oue	NOUN
cet-12815	66	32	m-3	m-3	X
cet-12815	66	33	.	.	PUNCT
cet-12815	67	1	figure	figure	VERB
cet-12815	67	2	3	3	NUM
cet-12815	67	3	:	:	PUNCT
cet-12815	67	4	odour	odour	NOUN
cet-12815	67	5	concentration	concentration	NOUN
cet-12815	67	6	characterization	characterization	NOUN
cet-12815	67	7	and	and	CCONJ
cet-12815	67	8	distribution	distribution	NOUN
cet-12815	67	9	for	for	ADP
cet-12815	67	10	the	the	DET
cet-12815	67	11	collected	collect	VERB
cet-12815	67	12	samples	sample	NOUN
cet-12815	67	13	3.2	3.2	NUM
cet-12815	67	14	ocmms	ocmms	NOUN
cet-12815	67	15	analysis	analysis	NOUN
cet-12815	67	16	during	during	ADP
cet-12815	67	17	lda	lda	PROPN
cet-12815	67	18	calibration	calibration	NOUN
cet-12815	67	19	,	,	PUNCT
cet-12815	67	20	a	a	DET
cet-12815	67	21	tolerance	tolerance	NOUN
cet-12815	67	22	level	level	NOUN
cet-12815	67	23	of	of	ADP
cet-12815	67	24	0.001	0.001	NUM
cet-12815	67	25	and	and	CCONJ
cet-12815	67	26	step	step	VERB
cet-12815	67	27	wise	wise	ADJ
cet-12815	67	28	analysis	analysis	NOUN
cet-12815	67	29	were	be	AUX
cet-12815	67	30	employed	employ	VERB
cet-12815	67	31	.	.	PUNCT
cet-12815	68	1	the	the	DET
cet-12815	68	2	obtained	obtain	VERB
cet-12815	68	3	calibration	calibration	NOUN
cet-12815	68	4	(	(	PUNCT
cet-12815	68	5	c	c	NOUN
cet-12815	68	6	)	)	PUNCT
cet-12815	68	7	,	,	PUNCT
cet-12815	68	8	validation	validation	NOUN
cet-12815	68	9	(	(	PUNCT
cet-12815	68	10	v	v	NOUN
cet-12815	68	11	)	)	PUNCT
cet-12815	68	12	values	value	NOUN
cet-12815	68	13	were	be	AUX
cet-12815	68	14	respectively	respectively	ADV
cet-12815	68	15	:	:	PUNCT
cet-12815	68	16	i	i	X
cet-12815	68	17	)	)	PUNCT
cet-12815	68	18	for	for	ADP
cet-12815	68	19	the	the	DET
cet-12815	68	20	whole	whole	ADJ
cet-12815	68	21	curve	curve	NOUN
cet-12815	68	22	:	:	PUNCT
cet-12815	68	23	c,76.96	c,76.96	NOUN
cet-12815	68	24	%	%	NOUN
cet-12815	68	25	;	;	PUNCT
cet-12815	68	26	v	v	NOUN
cet-12815	68	27	,	,	PUNCT
cet-12815	68	28	70.35	70.35	NUM
cet-12815	68	29	%	%	NOUN
cet-12815	68	30	;	;	PUNCT
cet-12815	68	31	wilk	wilk	PROPN
cet-12815	68	32	's	's	PART
cet-12815	68	33	lambda	lambda	NOUN
cet-12815	68	34	,	,	PUNCT
cet-12815	68	35	λ	λ	X
cet-12815	68	36	=	=	NOUN
cet-12815	68	37	0.028084	0.028084	NUM
cet-12815	68	38	;	;	PUNCT
cet-12815	68	39	ii	ii	NOUN
cet-12815	68	40	)	)	PUNCT
cet-12815	68	41	for	for	ADP
cet-12815	68	42	the	the	DET
cet-12815	68	43	rise	rise	NOUN
cet-12815	68	44	:	:	PUNCT
cet-12815	68	45	c	c	X
cet-12815	68	46	,	,	PUNCT
cet-12815	68	47	74.54	74.54	NUM
cet-12815	68	48	%	%	NOUN
cet-12815	68	49	;	;	PUNCT
cet-12815	68	50	v	v	NOUN
cet-12815	68	51	,	,	PUNCT
cet-12815	68	52	60.90	60.90	NUM
cet-12815	68	53	%	%	NOUN
cet-12815	68	54	;	;	PUNCT
cet-12815	68	55	wilk	wilk	PROPN
cet-12815	68	56	's	's	PART
cet-12815	68	57	lambda	lambda	NOUN
cet-12815	68	58	,	,	PUNCT
cet-12815	68	59	λ	λ	X
cet-12815	68	60	=	=	NOUN
cet-12815	68	61	0.0304486	0.0304486	NUM
cet-12815	68	62	;	;	PUNCT
cet-12815	68	63	iii	iii	X
cet-12815	68	64	)	)	PUNCT
cet-12815	68	65	for	for	ADP
cet-12815	68	66	the	the	DET
cet-12815	68	67	intermediate	intermediate	ADJ
cet-12815	68	68	:	:	PUNCT
cet-12815	68	69	c	c	X
cet-12815	68	70	,	,	PUNCT
cet-12815	68	71	77.60	77.60	NUM
cet-12815	68	72	%	%	NOUN
cet-12815	68	73	;	;	PUNCT
cet-12815	68	74	v	v	NOUN
cet-12815	68	75	,	,	PUNCT
cet-12815	68	76	64.87	64.87	NUM
cet-12815	68	77	%	%	NOUN
cet-12815	68	78	;	;	PUNCT
cet-12815	68	79	wilk	wilk	PROPN
cet-12815	68	80	's	's	PART
cet-12815	68	81	lambda	lambda	NOUN
cet-12815	68	82	,	,	PUNCT
cet-12815	68	83	λ	λ	X
cet-12815	68	84	=	=	SYM
cet-12815	68	85	0.0261409	0.0261409	NUM
cet-12815	68	86	;	;	PUNCT
cet-12815	68	87	iv	iv	X
cet-12815	68	88	)	)	PUNCT
cet-12815	68	89	for	for	ADP
cet-12815	68	90	the	the	DET
cet-12815	68	91	peak	peak	NOUN
cet-12815	68	92	period	period	NOUN
cet-12815	68	93	:	:	PUNCT
cet-12815	68	94	c	c	X
cet-12815	68	95	,	,	PUNCT
cet-12815	68	96	78.54	78.54	NUM
cet-12815	68	97	%	%	NOUN
cet-12815	68	98	;	;	PUNCT
cet-12815	68	99	v	v	NOUN
cet-12815	68	100	,	,	PUNCT
cet-12815	68	101	73.62	73.62	NUM
cet-12815	68	102	%	%	NOUN
cet-12815	68	103	;	;	PUNCT
cet-12815	68	104	wilk	wilk	PROPN
cet-12815	68	105	's	's	PART
cet-12815	68	106	lambda	lambda	NOUN
cet-12815	68	107	,	,	PUNCT
cet-12815	68	108	λ	λ	X
cet-12815	68	109	=	=	NOUN
cet-12815	68	110	0.0241204	0.0241204	NUM
cet-12815	68	111	.	.	PUNCT
cet-12815	69	1	during	during	ADP
cet-12815	69	2	the	the	DET
cet-12815	69	3	calibration	calibration	NOUN
cet-12815	69	4	phase	phase	NOUN
cet-12815	69	5	,	,	PUNCT
cet-12815	69	6	the	the	DET
cet-12815	69	7	wilk	wilk	NOUN
cet-12815	69	8	’s	’s	PART
cet-12815	69	9	lambda	lambda	NOUN
cet-12815	69	10	which	which	PRON
cet-12815	69	11	signify	signify	VERB
cet-12815	69	12	the	the	DET
cet-12815	69	13	lda	lda	PROPN
cet-12815	69	14	’s	’s	PART
cet-12815	69	15	discriminatory	discriminatory	ADJ
cet-12815	69	16	power	power	NOUN
cet-12815	69	17	,	,	PUNCT
cet-12815	69	18	was	be	AUX
cet-12815	69	19	found	find	VERB
cet-12815	69	20	to	to	PART
cet-12815	69	21	be	be	AUX
cet-12815	69	22	highest	high	ADJ
cet-12815	69	23	for	for	ADP
cet-12815	69	24	the	the	DET
cet-12815	69	25	data	datum	NOUN
cet-12815	69	26	in	in	ADP
cet-12815	69	27	the	the	DET
cet-12815	69	28	peak	peak	NOUN
cet-12815	69	29	period	period	NOUN
cet-12815	69	30	at	at	ADP
cet-12815	69	31	λ	λ	PROPN
cet-12815	69	32	=	=	NOUN
cet-12815	69	33	0.0241204	0.0241204	NUM
cet-12815	69	34	,	,	PUNCT
cet-12815	69	35	and	and	CCONJ
cet-12815	69	36	a	a	DET
cet-12815	69	37	78.54	78.54	NUM
cet-12815	69	38	%	%	NOUN
cet-12815	69	39	accuracy	accuracy	NOUN
cet-12815	69	40	rate	rate	NOUN
cet-12815	69	41	,	,	PUNCT
cet-12815	69	42	while	while	SCONJ
cet-12815	69	43	the	the	DET
cet-12815	69	44	rise	rise	NOUN
cet-12815	69	45	period	period	NOUN
cet-12815	69	46	has	have	VERB
cet-12815	69	47	the	the	DET
cet-12815	69	48	poorest	poor	ADJ
cet-12815	69	49	due	due	ADP
cet-12815	69	50	to	to	ADP
cet-12815	69	51	the	the	DET
cet-12815	69	52	uncertainty	uncertainty	NOUN
cet-12815	69	53	in	in	ADP
cet-12815	69	54	the	the	DET
cet-12815	69	55	dataset	dataset	NOUN
cet-12815	69	56	at	at	ADP
cet-12815	69	57	this	this	DET
cet-12815	69	58	point	point	NOUN
cet-12815	69	59	(	(	PUNCT
cet-12815	69	60	i.e.	i.e.	X
cet-12815	69	61	,	,	PUNCT
cet-12815	69	62	λ	λ	X
cet-12815	69	63	=	=	NOUN
cet-12815	69	64	0.0304486	0.0304486	NUM
cet-12815	69	65	,	,	PUNCT
cet-12815	69	66	%	%	NOUN
cet-12815	69	67	=	=	SYM
cet-12815	69	68	74.54	74.54	NUM
cet-12815	69	69	%	%	NOUN
cet-12815	69	70	)	)	PUNCT
cet-12815	69	71	.	.	PUNCT
cet-12815	70	1	o	o	NOUN
cet-12815	71	1	d	d	X
cet-12815	71	2	o	o	X
cet-12815	71	3	u	u	NOUN
cet-12815	71	4	r	r	NOUN
cet-12815	71	5	c	c	NOUN
cet-12815	71	6	o	o	X
cet-12815	71	7	n	n	X
cet-12815	71	8	ce	ce	PROPN
cet-12815	71	9	n	n	CCONJ
cet-12815	71	10	tr	tr	VERB
cet-12815	71	11	a	a	DET
cet-12815	71	12	ti	ti	NOUN
cet-12815	71	13	o	o	NOUN
cet-12815	71	14	n	n	PROPN
cet-12815	71	15	(	(	PUNCT
cet-12815	71	16	o	o	NOUN
cet-12815	71	17	u	u	NOUN
cet-12815	71	18	m	m	PROPN
cet-12815	71	19	-3	-3	PUNCT
cet-12815	71	20	)	)	PUNCT
cet-12815	71	21	94	94	NUM
cet-12815	72	1	meanwhile	meanwhile	ADV
cet-12815	72	2	,	,	PUNCT
cet-12815	72	3	after	after	ADP
cet-12815	72	4	the	the	DET
cet-12815	72	5	validation	validation	NOUN
cet-12815	72	6	stage	stage	NOUN
cet-12815	72	7	,	,	PUNCT
cet-12815	72	8	the	the	DET
cet-12815	72	9	peak	peak	NOUN
cet-12815	72	10	period	period	NOUN
cet-12815	72	11	still	still	ADV
cet-12815	72	12	shows	show	VERB
cet-12815	72	13	the	the	DET
cet-12815	72	14	best	good	ADJ
cet-12815	72	15	accuracy	accuracy	NOUN
cet-12815	72	16	rates	rate	NOUN
cet-12815	72	17	of	of	ADP
cet-12815	72	18	73.62	73.62	NUM
cet-12815	72	19	%	%	NOUN
cet-12815	72	20	,	,	PUNCT
cet-12815	72	21	promoting	promote	VERB
cet-12815	72	22	the	the	DET
cet-12815	72	23	most	most	ADV
cet-12815	72	24	stable	stable	ADJ
cet-12815	72	25	points	point	NOUN
cet-12815	72	26	in	in	ADP
cet-12815	72	27	this	this	DET
cet-12815	72	28	interval	interval	NOUN
cet-12815	72	29	.	.	PUNCT
cet-12815	73	1	meanwhile	meanwhile	ADV
cet-12815	73	2	,	,	PUNCT
cet-12815	73	3	in	in	ADP
cet-12815	73	4	the	the	DET
cet-12815	73	5	ffnn	ffnn	NOUN
cet-12815	73	6	environment	environment	NOUN
cet-12815	73	7	,	,	PUNCT
cet-12815	73	8	during	during	ADP
cet-12815	73	9	the	the	DET
cet-12815	73	10	training	training	NOUN
cet-12815	73	11	,	,	PUNCT
cet-12815	73	12	the	the	PRON
cet-12815	73	13	higher	high	ADJ
cet-12815	73	14	the	the	DET
cet-12815	73	15	number	number	NOUN
cet-12815	73	16	of	of	ADP
cet-12815	73	17	nodes	node	NOUN
cet-12815	73	18	assigned	assign	VERB
cet-12815	73	19	to	to	ADP
cet-12815	73	20	the	the	DET
cet-12815	73	21	hidden	hide	VERB
cet-12815	73	22	layer	layer	NOUN
cet-12815	73	23	,	,	PUNCT
cet-12815	73	24	the	the	DET
cet-12815	73	25	more	more	ADJ
cet-12815	73	26	chances	chance	NOUN
cet-12815	73	27	for	for	ADP
cet-12815	73	28	the	the	DET
cet-12815	73	29	network	network	NOUN
cet-12815	73	30	to	to	ADP
cet-12815	73	31	over	over	ADP
cet-12815	73	32	-	-	PUNCT
cet-12815	73	33	fit	fit	NOUN
cet-12815	73	34	,	,	PUNCT
cet-12815	73	35	while	while	SCONJ
cet-12815	73	36	few	few	ADJ
cet-12815	73	37	numbers	number	NOUN
cet-12815	73	38	of	of	ADP
cet-12815	73	39	nodes	node	NOUN
cet-12815	73	40	may	may	AUX
cet-12815	73	41	lead	lead	VERB
cet-12815	73	42	to	to	ADP
cet-12815	73	43	an	an	DET
cet-12815	73	44	under	under	ADJ
cet-12815	73	45	-	-	PUNCT
cet-12815	73	46	fit	fit	NOUN
cet-12815	73	47	network	network	NOUN
cet-12815	73	48	(	(	PUNCT
cet-12815	73	49	licen	licen	PROPN
cet-12815	73	50	et	et	PROPN
cet-12815	73	51	al	al	PROPN
cet-12815	73	52	.	.	PROPN
cet-12815	73	53	,	,	PUNCT
cet-12815	73	54	2018	2018	NUM
cet-12815	73	55	;	;	PUNCT
cet-12815	73	56	zarra	zarra	PROPN
cet-12815	73	57	et	et	PROPN
cet-12815	73	58	al	al	PROPN
cet-12815	73	59	.	.	PROPN
cet-12815	73	60	,	,	PUNCT
cet-12815	73	61	2019	2019	NUM
cet-12815	73	62	)	)	PUNCT
cet-12815	73	63	.	.	PUNCT
cet-12815	74	1	in	in	ADP
cet-12815	74	2	the	the	DET
cet-12815	74	3	investigated	investigated	ADJ
cet-12815	74	4	analysis	analysis	NOUN
cet-12815	74	5	,	,	PUNCT
cet-12815	74	6	training	train	VERB
cet-12815	74	7	the	the	DET
cet-12815	74	8	network	network	NOUN
cet-12815	74	9	under	under	ADP
cet-12815	74	10	bayesian	bayesian	NOUN
cet-12815	74	11	regularization	regularization	NOUN
cet-12815	74	12	,	,	PUNCT
cet-12815	74	13	the	the	DET
cet-12815	74	14	optimum	optimum	ADJ
cet-12815	74	15	ffnn	ffnn	NOUN
cet-12815	74	16	typology	typology	NOUN
cet-12815	74	17	was	be	AUX
cet-12815	74	18	found	find	VERB
cet-12815	74	19	as	as	ADP
cet-12815	74	20	14	14	NUM
cet-12815	74	21	-	-	SYM
cet-12815	74	22	8	8	NUM
cet-12815	74	23	-	-	SYM
cet-12815	74	24	7	7	NUM
cet-12815	74	25	.	.	PUNCT
cet-12815	75	1	after	after	ADP
cet-12815	75	2	extracting	extract	VERB
cet-12815	75	3	ffnn	ffnn	NOUN
cet-12815	75	4	14	14	NUM
cet-12815	75	5	-	-	SYM
cet-12815	75	6	8	8	NUM
cet-12815	75	7	-	-	SYM
cet-12815	75	8	7	7	NUM
cet-12815	75	9	,	,	PUNCT
cet-12815	75	10	the	the	DET
cet-12815	75	11	validation	validation	NOUN
cet-12815	75	12	dataset	dataset	NOUN
cet-12815	75	13	was	be	AUX
cet-12815	75	14	fed	feed	VERB
cet-12815	75	15	to	to	ADP
cet-12815	75	16	the	the	DET
cet-12815	75	17	trained	train	VERB
cet-12815	75	18	network	network	NOUN
cet-12815	75	19	to	to	PART
cet-12815	75	20	assess	assess	VERB
cet-12815	75	21	its	its	PRON
cet-12815	75	22	generalizing	generalize	VERB
cet-12815	75	23	capability	capability	NOUN
cet-12815	75	24	.	.	PUNCT
cet-12815	76	1	the	the	DET
cet-12815	76	2	obtained	obtain	VERB
cet-12815	76	3	training	training	NOUN
cet-12815	76	4	(	(	PUNCT
cet-12815	76	5	t	t	NOUN
cet-12815	76	6	)	)	PUNCT
cet-12815	76	7	,	,	PUNCT
cet-12815	76	8	validation	validation	NOUN
cet-12815	76	9	(	(	PUNCT
cet-12815	76	10	v	v	NOUN
cet-12815	76	11	)	)	PUNCT
cet-12815	76	12	values	value	NOUN
cet-12815	76	13	were	be	AUX
cet-12815	76	14	respectively	respectively	ADV
cet-12815	76	15	:	:	PUNCT
cet-12815	76	16	i	i	X
cet-12815	76	17	)	)	PUNCT
cet-12815	76	18	for	for	ADP
cet-12815	76	19	the	the	DET
cet-12815	76	20	whole	whole	ADJ
cet-12815	76	21	curve	curve	NOUN
cet-12815	76	22	:	:	PUNCT
cet-12815	76	23	t	t	PROPN
cet-12815	76	24	,	,	PUNCT
cet-12815	76	25	0.8784	0.8784	NUM
cet-12815	76	26	;	;	PUNCT
cet-12815	76	27	v	v	NOUN
cet-12815	76	28	,	,	PUNCT
cet-12815	76	29	84.43	84.43	NUM
cet-12815	76	30	%	%	NOUN
cet-12815	76	31	;	;	PUNCT
cet-12815	76	32	ii	ii	X
cet-12815	76	33	)	)	PUNCT
cet-12815	76	34	for	for	ADP
cet-12815	76	35	the	the	DET
cet-12815	76	36	rise	rise	NOUN
cet-12815	76	37	:	:	PUNCT
cet-12815	76	38	t	t	X
cet-12815	76	39	,	,	PUNCT
cet-12815	76	40	0.9067	0.9067	NUM
cet-12815	76	41	%	%	NOUN
cet-12815	76	42	;	;	PUNCT
cet-12815	76	43	v	v	NOUN
cet-12815	76	44	,	,	PUNCT
cet-12815	76	45	99.14	99.14	NUM
cet-12815	76	46	%	%	NOUN
cet-12815	76	47	;	;	PUNCT
cet-12815	76	48	iii	iii	X
cet-12815	76	49	)	)	PUNCT
cet-12815	76	50	for	for	ADP
cet-12815	76	51	the	the	DET
cet-12815	76	52	intermediate	intermediate	ADJ
cet-12815	76	53	:	:	PUNCT
cet-12815	76	54	t	t	PROPN
cet-12815	76	55	,	,	PUNCT
cet-12815	76	56	0.9327	0.9327	NUM
cet-12815	76	57	;	;	PUNCT
cet-12815	76	58	v	v	NOUN
cet-12815	76	59	,	,	PUNCT
cet-12815	76	60	99.29	99.29	NUM
cet-12815	76	61	%	%	NOUN
cet-12815	76	62	;	;	PUNCT
cet-12815	76	63	iv	iv	X
cet-12815	76	64	)	)	PUNCT
cet-12815	76	65	for	for	ADP
cet-12815	76	66	the	the	DET
cet-12815	76	67	peak	peak	NOUN
cet-12815	76	68	period	period	NOUN
cet-12815	76	69	:	:	PUNCT
cet-12815	76	70	t	t	X
cet-12815	76	71	,	,	PUNCT
cet-12815	76	72	0.9608	0.9608	NUM
cet-12815	76	73	%	%	NOUN
cet-12815	76	74	;	;	PUNCT
cet-12815	76	75	v	v	NOUN
cet-12815	76	76	,	,	PUNCT
cet-12815	76	77	99.71	99.71	NUM
cet-12815	76	78	%	%	NOUN
cet-12815	76	79	.	.	PUNCT
cet-12815	77	1	consequently	consequently	ADV
cet-12815	77	2	,	,	PUNCT
cet-12815	77	3	the	the	DET
cet-12815	77	4	results	result	NOUN
cet-12815	77	5	show	show	VERB
cet-12815	77	6	that	that	SCONJ
cet-12815	77	7	the	the	DET
cet-12815	77	8	peak	peak	NOUN
cet-12815	77	9	period	period	NOUN
cet-12815	77	10	contains	contain	VERB
cet-12815	77	11	the	the	DET
cet-12815	77	12	most	most	ADV
cet-12815	77	13	useful	useful	ADJ
cet-12815	77	14	data	datum	NOUN
cet-12815	77	15	for	for	ADP
cet-12815	77	16	ffnn	ffnn	NOUN
cet-12815	77	17	as	as	ADP
cet-12815	77	18	ocmm	ocmm	NOUN
cet-12815	77	19	such	such	ADJ
cet-12815	77	20	as	as	ADP
cet-12815	77	21	0.9608	0.9608	NUM
cet-12815	77	22	r2	r2	NOUN
cet-12815	77	23	(	(	PUNCT
cet-12815	77	24	training	training	NOUN
cet-12815	77	25	)	)	PUNCT
cet-12815	77	26	and	and	CCONJ
cet-12815	77	27	99.71	99.71	NUM
cet-12815	77	28	%	%	NOUN
cet-12815	77	29	(	(	PUNCT
cet-12815	77	30	validation	validation	NOUN
cet-12815	77	31	)	)	PUNCT
cet-12815	77	32	.	.	PUNCT
cet-12815	78	1	3.3	3.3	NUM
cet-12815	78	2	oqmms	oqmms	NOUN
cet-12815	78	3	analysis	analysis	NOUN
cet-12815	78	4	pls	pls	NOUN
cet-12815	78	5	results	result	VERB
cet-12815	78	6	show	show	VERB
cet-12815	78	7	that	that	SCONJ
cet-12815	78	8	by	by	ADP
cet-12815	78	9	evaluating	evaluate	VERB
cet-12815	78	10	all	all	DET
cet-12815	78	11	the	the	DET
cet-12815	78	12	piecemeal	piecemeal	ADJ
cet-12815	78	13	signal	signal	NOUN
cet-12815	78	14	values	value	NOUN
cet-12815	78	15	,	,	PUNCT
cet-12815	78	16	all	all	DET
cet-12815	78	17	reduced	reduce	VERB
cet-12815	78	18	data	data	NOUN
cet-12815	78	19	points	point	NOUN
cet-12815	78	20	were	be	AUX
cet-12815	78	21	in	in	ADP
cet-12815	78	22	good	good	ADJ
cet-12815	78	23	agreement	agreement	NOUN
cet-12815	78	24	with	with	ADP
cet-12815	78	25	the	the	DET
cet-12815	78	26	7	7	NUM
cet-12815	78	27	components	component	NOUN
cet-12815	78	28	,	,	PUNCT
cet-12815	78	29	thus	thus	ADV
cet-12815	78	30	considering	consider	VERB
cet-12815	78	31	the	the	DET
cet-12815	78	32	ideal	ideal	ADJ
cet-12815	78	33	number	number	NOUN
cet-12815	78	34	of	of	ADP
cet-12815	78	35	components	component	NOUN
cet-12815	78	36	for	for	ADP
cet-12815	78	37	pls	pls	PROPN
cet-12815	78	38	oqmm	oqmm	PROPN
cet-12815	78	39	.	.	PUNCT
cet-12815	79	1	moreover	moreover	ADV
cet-12815	79	2	,	,	PUNCT
cet-12815	79	3	during	during	ADP
cet-12815	79	4	the	the	DET
cet-12815	79	5	calibration	calibration	NOUN
cet-12815	79	6	of	of	ADP
cet-12815	79	7	pls	pls	INTJ
cet-12815	79	8	,	,	PUNCT
cet-12815	79	9	the	the	DET
cet-12815	79	10	r2	r2	PROPN
cet-12815	79	11	(	(	PUNCT
cet-12815	79	12	cum	cum	NOUN
cet-12815	79	13	)	)	PUNCT
cet-12815	79	14	(	(	PUNCT
cet-12815	79	15	0.973	0.973	NUM
cet-12815	79	16	)	)	PUNCT
cet-12815	79	17	and	and	CCONJ
cet-12815	79	18	q2	q2	NOUN
cet-12815	79	19	(	(	PUNCT
cet-12815	79	20	cum	cum	NOUN
cet-12815	79	21	)	)	PUNCT
cet-12815	79	22	(	(	PUNCT
cet-12815	79	23	0.722	0.722	NUM
cet-12815	79	24	)	)	PUNCT
cet-12815	79	25	show	show	VERB
cet-12815	79	26	only	only	ADV
cet-12815	79	27	a	a	DET
cet-12815	79	28	negligible	negligible	ADJ
cet-12815	79	29	change	change	NOUN
cet-12815	79	30	,	,	PUNCT
cet-12815	79	31	therefore	therefore	ADV
cet-12815	79	32	it	it	PRON
cet-12815	79	33	only	only	ADV
cet-12815	79	34	highlights	highlight	NOUN
cet-12815	79	35	that	that	PRON
cet-12815	79	36	data	data	NOUN
cet-12815	79	37	reduction	reduction	NOUN
cet-12815	79	38	presumably	presumably	ADV
cet-12815	79	39	it	it	PRON
cet-12815	79	40	does	do	AUX
cet-12815	79	41	not	not	PART
cet-12815	79	42	have	have	VERB
cet-12815	79	43	a	a	DET
cet-12815	79	44	significant	significant	ADJ
cet-12815	79	45	impact	impact	NOUN
cet-12815	79	46	for	for	ADP
cet-12815	79	47	the	the	DET
cet-12815	79	48	calibration	calibration	NOUN
cet-12815	79	49	.	.	PUNCT
cet-12815	80	1	however	however	ADV
cet-12815	80	2	,	,	PUNCT
cet-12815	80	3	the	the	DET
cet-12815	80	4	pls	pls	NOUN
cet-12815	80	5	models	model	NOUN
cet-12815	80	6	were	be	AUX
cet-12815	80	7	verified	verify	VERB
cet-12815	80	8	to	to	PART
cet-12815	80	9	ensure	ensure	VERB
cet-12815	80	10	their	their	PRON
cet-12815	80	11	individual	individual	ADJ
cet-12815	80	12	reliability	reliability	NOUN
cet-12815	80	13	,	,	PUNCT
cet-12815	80	14	thus	thus	ADV
cet-12815	80	15	,	,	PUNCT
cet-12815	80	16	revealing	reveal	VERB
cet-12815	80	17	the	the	DET
cet-12815	80	18	ideal	ideal	ADJ
cet-12815	80	19	pls	pls	PROPN
cet-12815	80	20	oqmm	oqmm	PROPN
cet-12815	80	21	entails	entail	VERB
cet-12815	80	22	the	the	DET
cet-12815	80	23	best	good	ADJ
cet-12815	80	24	data	datum	NOUN
cet-12815	80	25	in	in	ADP
cet-12815	80	26	the	the	DET
cet-12815	80	27	peak	peak	NOUN
cet-12815	80	28	period	period	NOUN
cet-12815	80	29	on	on	ADP
cet-12815	80	30	the	the	DET
cet-12815	80	31	basis	basis	NOUN
cet-12815	80	32	of	of	ADP
cet-12815	80	33	0.9399	0.9399	NUM
cet-12815	80	34	r2	r2	NOUN
cet-12815	80	35	and	and	CCONJ
cet-12815	81	1	136.65	136.65	NUM
cet-12815	81	2	ou	ou	NOUN
cet-12815	81	3	m-3	m-3	X
cet-12815	81	4	during	during	ADP
cet-12815	81	5	validation	validation	NOUN
cet-12815	81	6	.	.	PUNCT
cet-12815	82	1	in	in	ADP
cet-12815	82	2	the	the	DET
cet-12815	82	3	case	case	NOUN
cet-12815	82	4	of	of	ADP
cet-12815	82	5	ffnn	ffnn	NOUN
cet-12815	82	6	,	,	PUNCT
cet-12815	82	7	the	the	DET
cet-12815	82	8	experiment	experiment	NOUN
cet-12815	82	9	was	be	AUX
cet-12815	82	10	carried	carry	VERB
cet-12815	82	11	out	out	ADP
cet-12815	82	12	by	by	ADP
cet-12815	82	13	manually	manually	ADV
cet-12815	82	14	assigning	assign	VERB
cet-12815	82	15	a	a	DET
cet-12815	82	16	specific	specific	ADJ
cet-12815	82	17	number	number	NOUN
cet-12815	82	18	of	of	ADP
cet-12815	82	19	nodes	node	NOUN
cet-12815	82	20	in	in	ADP
cet-12815	82	21	the	the	DET
cet-12815	82	22	hidden	hide	VERB
cet-12815	82	23	layer	layer	NOUN
cet-12815	82	24	from	from	ADP
cet-12815	82	25	5	5	NUM
cet-12815	82	26	–	–	SYM
cet-12815	82	27	22	22	NUM
cet-12815	82	28	.	.	PUNCT
cet-12815	83	1	after	after	ADP
cet-12815	83	2	a	a	DET
cet-12815	83	3	complete	complete	ADJ
cet-12815	83	4	run	run	NOUN
cet-12815	83	5	,	,	PUNCT
cet-12815	83	6	it	it	PRON
cet-12815	83	7	has	have	AUX
cet-12815	83	8	been	be	AUX
cet-12815	83	9	found	find	VERB
cet-12815	83	10	that	that	SCONJ
cet-12815	83	11	the	the	DET
cet-12815	83	12	ffnn	ffnn	NOUN
cet-12815	83	13	typology	typology	NOUN
cet-12815	83	14	is	be	AUX
cet-12815	83	15	14	14	NUM
cet-12815	83	16	-	-	SYM
cet-12815	83	17	8	8	NUM
cet-12815	83	18	-	-	SYM
cet-12815	83	19	1	1	NUM
cet-12815	83	20	.	.	PUNCT
cet-12815	84	1	a	a	DET
cet-12815	84	2	strong	strong	ADJ
cet-12815	84	3	correlation	correlation	NOUN
cet-12815	84	4	(	(	PUNCT
cet-12815	84	5	r	r	NOUN
cet-12815	84	6	≥	≥	NOUN
cet-12815	84	7	0.987	0.987	NUM
cet-12815	84	8	)	)	PUNCT
cet-12815	84	9	,	,	PUNCT
cet-12815	84	10	coefficient	coefficient	NOUN
cet-12815	84	11	of	of	ADP
cet-12815	84	12	determinations	determination	NOUN
cet-12815	84	13	(	(	PUNCT
cet-12815	84	14	r2	r2	PROPN
cet-12815	84	15	≥	≥	NUM
cet-12815	84	16	0.974	0.974	NUM
cet-12815	84	17	)	)	PUNCT
cet-12815	84	18	and	and	CCONJ
cet-12815	84	19	root	root	NOUN
cet-12815	84	20	-	-	PUNCT
cet-12815	84	21	mean	mean	NOUN
cet-12815	84	22	squared	square	VERB
cet-12815	84	23	errors	error	NOUN
cet-12815	84	24	(	(	PUNCT
cet-12815	84	25	rmse	rmse	PROPN
cet-12815	84	26	≥	≥	PROPN
cet-12815	84	27	22.25	22.25	NUM
cet-12815	84	28	ou	ou	NOUN
cet-12815	84	29	m-3	m-3	PROPN
cet-12815	84	30	)	)	PUNCT
cet-12815	84	31	were	be	AUX
cet-12815	84	32	obtained	obtain	VERB
cet-12815	84	33	during	during	ADP
cet-12815	84	34	ffnn	ffnn	NOUN
cet-12815	84	35	training	training	NOUN
cet-12815	84	36	and	and	CCONJ
cet-12815	84	37	validation	validation	NOUN
cet-12815	84	38	,	,	PUNCT
cet-12815	84	39	expressing	express	VERB
cet-12815	84	40	the	the	DET
cet-12815	84	41	reliability	reliability	NOUN
cet-12815	84	42	of	of	ADP
cet-12815	84	43	ffnn	ffnn	NOUN
cet-12815	84	44	as	as	ADP
cet-12815	84	45	oqmm	oqmm	ADJ
cet-12815	84	46	.	.	PUNCT
cet-12815	85	1	in	in	ADP
cet-12815	85	2	fact	fact	NOUN
cet-12815	85	3	,	,	PUNCT
cet-12815	85	4	this	this	DET
cet-12815	85	5	phenomenon	phenomenon	NOUN
cet-12815	85	6	shows	show	VERB
cet-12815	85	7	that	that	SCONJ
cet-12815	85	8	ffnn	ffnn	NOUN
cet-12815	85	9	can	can	AUX
cet-12815	85	10	build	build	VERB
cet-12815	85	11	a	a	DET
cet-12815	85	12	strong	strong	ADJ
cet-12815	85	13	relationship	relationship	NOUN
cet-12815	85	14	based	base	VERB
cet-12815	85	15	on	on	ADP
cet-12815	85	16	the	the	DET
cet-12815	85	17	available	available	ADJ
cet-12815	85	18	data	datum	NOUN
cet-12815	85	19	resources	resource	NOUN
cet-12815	85	20	,	,	PUNCT
cet-12815	85	21	but	but	CCONJ
cet-12815	85	22	only	only	ADV
cet-12815	85	23	varies	vary	VERB
cet-12815	85	24	on	on	ADP
cet-12815	85	25	the	the	DET
cet-12815	85	26	training	training	NOUN
cet-12815	85	27	time	time	NOUN
cet-12815	85	28	(	(	PUNCT
cet-12815	85	29	herrero	herrero	PROPN
cet-12815	85	30	et	et	PROPN
cet-12815	85	31	al	al	PROPN
cet-12815	85	32	.	.	PROPN
cet-12815	85	33	,	,	PUNCT
cet-12815	85	34	2016	2016	NUM
cet-12815	85	35	;	;	PUNCT
cet-12815	85	36	pomponi	pomponi	PROPN
cet-12815	85	37	et	et	PROPN
cet-12815	85	38	al	al	PROPN
cet-12815	85	39	.	.	PROPN
cet-12815	85	40	,	,	PUNCT
cet-12815	85	41	2021	2021	NUM
cet-12815	85	42	)	)	PUNCT
cet-12815	85	43	.	.	PUNCT
cet-12815	86	1	the	the	PRON
cet-12815	86	2	higher	high	ADJ
cet-12815	86	3	the	the	DET
cet-12815	86	4	number	number	NOUN
cet-12815	86	5	of	of	ADP
cet-12815	86	6	nodes	node	NOUN
cet-12815	86	7	in	in	ADP
cet-12815	86	8	the	the	DET
cet-12815	86	9	hidden	hide	VERB
cet-12815	86	10	layer	layer	NOUN
cet-12815	86	11	,	,	PUNCT
cet-12815	86	12	the	the	DET
cet-12815	86	13	more	more	ADV
cet-12815	86	14	complex	complex	ADJ
cet-12815	86	15	the	the	DET
cet-12815	86	16	network	network	NOUN
cet-12815	86	17	,	,	PUNCT
cet-12815	86	18	thus	thus	ADV
cet-12815	86	19	longer	long	ADV
cet-12815	86	20	training	training	NOUN
cet-12815	86	21	time	time	NOUN
cet-12815	86	22	is	be	AUX
cet-12815	86	23	required	require	VERB
cet-12815	86	24	.	.	PUNCT
cet-12815	87	1	3.4	3.4	NUM
cet-12815	87	2	comparison	comparison	NOUN
cet-12815	87	3	study	study	NOUN
cet-12815	87	4	during	during	ADP
cet-12815	87	5	the	the	DET
cet-12815	87	6	training	training	NOUN
cet-12815	87	7	/	/	SYM
cet-12815	87	8	calibration	calibration	NOUN
cet-12815	87	9	phase	phase	NOUN
cet-12815	87	10	,	,	PUNCT
cet-12815	87	11	both	both	PRON
cet-12815	87	12	lda	lda	PROPN
cet-12815	87	13	and	and	CCONJ
cet-12815	87	14	pls	pls	PROPN
cet-12815	87	15	demonstrated	demonstrate	VERB
cet-12815	87	16	simplicity	simplicity	NOUN
cet-12815	87	17	in	in	ADP
cet-12815	87	18	the	the	DET
cet-12815	87	19	execution	execution	NOUN
cet-12815	87	20	and	and	CCONJ
cet-12815	87	21	calibration	calibration	NOUN
cet-12815	87	22	.	.	PUNCT
cet-12815	88	1	their	their	PRON
cet-12815	88	2	mechanisms	mechanism	NOUN
cet-12815	88	3	are	be	AUX
cet-12815	88	4	based	base	VERB
cet-12815	88	5	on	on	ADP
cet-12815	88	6	linear	linear	ADJ
cet-12815	88	7	patterns	pattern	NOUN
cet-12815	88	8	and	and	CCONJ
cet-12815	88	9	assumptions	assumption	NOUN
cet-12815	88	10	(	(	PUNCT
cet-12815	88	11	e.g.	e.g.	ADV
cet-12815	88	12	,	,	PUNCT
cet-12815	88	13	parametric	parametric	ADJ
cet-12815	88	14	)	)	PUNCT
cet-12815	88	15	.	.	PUNCT
cet-12815	89	1	in	in	ADP
cet-12815	89	2	lda	lda	PROPN
cet-12815	89	3	,	,	PUNCT
cet-12815	89	4	it	it	PRON
cet-12815	89	5	has	have	AUX
cet-12815	89	6	been	be	AUX
cet-12815	89	7	found	find	VERB
cet-12815	89	8	the	the	DET
cet-12815	89	9	linear	linear	ADJ
cet-12815	89	10	features	feature	NOUN
cet-12815	89	11	and	and	CCONJ
cet-12815	89	12	combines	combine	VERB
cet-12815	89	13	them	they	PRON
cet-12815	89	14	before	before	ADP
cet-12815	89	15	classification	classification	NOUN
cet-12815	89	16	,	,	PUNCT
cet-12815	89	17	while	while	SCONJ
cet-12815	89	18	pls	pls	PRON
cet-12815	89	19	initially	initially	ADV
cet-12815	89	20	calculate	calculate	VERB
cet-12815	89	21	the	the	DET
cet-12815	89	22	principal	principal	ADJ
cet-12815	89	23	components	component	NOUN
cet-12815	89	24	and	and	CCONJ
cet-12815	89	25	make	make	VERB
cet-12815	89	26	a	a	DET
cet-12815	89	27	regression	regression	NOUN
cet-12815	89	28	model	model	NOUN
cet-12815	89	29	with	with	ADP
cet-12815	89	30	respect	respect	NOUN
cet-12815	89	31	to	to	ADP
cet-12815	89	32	the	the	DET
cet-12815	89	33	response	response	NOUN
cet-12815	89	34	variable	variable	NOUN
cet-12815	89	35	.	.	PUNCT
cet-12815	90	1	meanwhile	meanwhile	ADV
cet-12815	90	2	,	,	PUNCT
cet-12815	90	3	ffnn	ffnn	NOUN
cet-12815	90	4	is	be	AUX
cet-12815	90	5	complex	complex	ADJ
cet-12815	90	6	due	due	ADP
cet-12815	90	7	to	to	ADP
cet-12815	90	8	the	the	DET
cet-12815	90	9	numerous	numerous	ADJ
cet-12815	90	10	configurations	configuration	NOUN
cet-12815	90	11	considered	consider	VERB
cet-12815	90	12	,	,	PUNCT
cet-12815	90	13	and	and	CCONJ
cet-12815	90	14	must	must	AUX
cet-12815	90	15	be	be	AUX
cet-12815	90	16	done	do	VERB
cet-12815	90	17	manually	manually	ADV
cet-12815	90	18	and	and	CCONJ
cet-12815	90	19	carefully	carefully	ADV
cet-12815	90	20	.	.	PUNCT
cet-12815	91	1	it	it	PRON
cet-12815	91	2	can	can	AUX
cet-12815	91	3	establish	establish	VERB
cet-12815	91	4	a	a	DET
cet-12815	91	5	strong	strong	ADJ
cet-12815	91	6	pattern	pattern	NOUN
cet-12815	91	7	independent	independent	ADJ
cet-12815	91	8	of	of	ADP
cet-12815	91	9	linearity	linearity	NOUN
cet-12815	91	10	,	,	PUNCT
cet-12815	91	11	thus	thus	ADV
cet-12815	91	12	providing	provide	VERB
cet-12815	91	13	more	more	ADV
cet-12815	91	14	accurate	accurate	ADJ
cet-12815	91	15	measurements	measurement	NOUN
cet-12815	91	16	,	,	PUNCT
cet-12815	91	17	but	but	CCONJ
cet-12815	91	18	the	the	DET
cet-12815	91	19	main	main	ADJ
cet-12815	91	20	drawback	drawback	NOUN
cet-12815	91	21	to	to	ADP
cet-12815	91	22	researchers	researcher	NOUN
cet-12815	91	23	is	be	AUX
cet-12815	91	24	visualizing	visualize	VERB
cet-12815	91	25	the	the	DET
cet-12815	91	26	variable	variable	ADJ
cet-12815	91	27	interactions	interaction	NOUN
cet-12815	91	28	.	.	PUNCT
cet-12815	92	1	furthermore	furthermore	ADV
cet-12815	92	2	,	,	PUNCT
cet-12815	92	3	during	during	ADP
cet-12815	92	4	the	the	DET
cet-12815	92	5	validation	validation	NOUN
cet-12815	92	6	of	of	ADP
cet-12815	92	7	the	the	DET
cet-12815	92	8	qcmms	qcmms	NOUN
cet-12815	92	9	and	and	CCONJ
cet-12815	92	10	oqmms	oqmms	NOUN
cet-12815	92	11	,	,	PUNCT
cet-12815	92	12	the	the	DET
cet-12815	92	13	ann	ann	PROPN
cet-12815	92	14	revealed	reveal	VERB
cet-12815	92	15	the	the	DET
cet-12815	92	16	highest	high	ADJ
cet-12815	92	17	classification	classification	NOUN
cet-12815	92	18	rates	rate	NOUN
cet-12815	92	19	(	(	PUNCT
cet-12815	92	20	%	%	INTJ
cet-12815	92	21	)	)	PUNCT
cet-12815	92	22	and	and	CCONJ
cet-12815	92	23	coefficient	coefficient	NOUN
cet-12815	92	24	of	of	ADP
cet-12815	92	25	determinations	determination	NOUN
cet-12815	92	26	(	(	PUNCT
cet-12815	92	27	r2	r2	PROPN
cet-12815	92	28	)	)	PUNCT
cet-12815	92	29	,	,	PUNCT
cet-12815	92	30	respectively	respectively	ADV
cet-12815	92	31	.	.	PUNCT
cet-12815	93	1	the	the	DET
cet-12815	93	2	accuracy	accuracy	NOUN
cet-12815	93	3	of	of	ADP
cet-12815	93	4	ffnn	ffnn	NOUN
cet-12815	93	5	application	application	NOUN
cet-12815	93	6	is	be	AUX
cet-12815	93	7	at	at	ADV
cet-12815	93	8	least	least	ADJ
cet-12815	93	9	80	80	NUM
cet-12815	93	10	%	%	NOUN
cet-12815	93	11	.	.	PUNCT
cet-12815	94	1	finally	finally	ADV
cet-12815	94	2	,	,	PUNCT
cet-12815	94	3	the	the	DET
cet-12815	94	4	comparison	comparison	NOUN
cet-12815	94	5	analysis	analysis	NOUN
cet-12815	94	6	highlights	highlight	NOUN
cet-12815	94	7	that	that	SCONJ
cet-12815	94	8	the	the	DET
cet-12815	94	9	best	good	ADJ
cet-12815	94	10	combination	combination	NOUN
cet-12815	94	11	should	should	AUX
cet-12815	94	12	be	be	AUX
cet-12815	94	13	the	the	DET
cet-12815	94	14	peak	peak	NOUN
cet-12815	94	15	data	datum	NOUN
cet-12815	94	16	and	and	CCONJ
cet-12815	94	17	ann	ann	PROPN
cet-12815	94	18	as	as	ADP
cet-12815	94	19	pattern	pattern	NOUN
cet-12815	94	20	-	-	PUNCT
cet-12815	94	21	recognition	recognition	NOUN
cet-12815	94	22	algorithm	algorithm	NOUN
cet-12815	94	23	for	for	ADP
cet-12815	94	24	both	both	CCONJ
cet-12815	94	25	ocmm	ocmm	NOUN
cet-12815	94	26	and	and	CCONJ
cet-12815	94	27	oqmm	oqmm	ADJ
cet-12815	94	28	.	.	PUNCT
cet-12815	95	1	4	4	X
cet-12815	95	2	.	.	X
cet-12815	95	3	conclusions	conclusion	NOUN
cet-12815	95	4	in	in	ADP
cet-12815	95	5	the	the	DET
cet-12815	95	6	study	study	NOUN
cet-12815	95	7	,	,	PUNCT
cet-12815	95	8	the	the	DET
cet-12815	95	9	data	data	NOUN
cet-12815	95	10	processing	processing	NOUN
cet-12815	95	11	system	system	NOUN
cet-12815	95	12	of	of	ADP
cet-12815	95	13	an	an	DET
cet-12815	95	14	advanced	advanced	ADJ
cet-12815	95	15	instrumental	instrumental	ADJ
cet-12815	95	16	odour	odour	NOUN
cet-12815	95	17	monitoring	monitoring	NOUN
cet-12815	95	18	system	system	NOUN
cet-12815	95	19	(	(	PUNCT
cet-12815	95	20	ioms	iom	NOUN
cet-12815	95	21	)	)	PUNCT
cet-12815	95	22	,	,	PUNCT
cet-12815	95	23	was	be	AUX
cet-12815	95	24	studied	study	VERB
cet-12815	95	25	and	and	CCONJ
cet-12815	95	26	implemented	implement	VERB
cet-12815	95	27	with	with	ADP
cet-12815	95	28	reference	reference	NOUN
cet-12815	95	29	to	to	ADP
cet-12815	95	30	odour	odour	VERB
cet-12815	95	31	emissions	emission	NOUN
cet-12815	95	32	from	from	ADP
cet-12815	95	33	a	a	DET
cet-12815	95	34	complex	complex	ADJ
cet-12815	95	35	refinery	refinery	NOUN
cet-12815	95	36	plant	plant	NOUN
cet-12815	95	37	,	,	PUNCT
cet-12815	95	38	characterized	characterize	VERB
cet-12815	95	39	of	of	ADP
cet-12815	95	40	a	a	DET
cet-12815	95	41	high	high	ADJ
cet-12815	95	42	number	number	NOUN
cet-12815	95	43	of	of	ADP
cet-12815	95	44	potential	potential	ADJ
cet-12815	95	45	different	different	ADJ
cet-12815	95	46	odour	odour	NOUN
cet-12815	95	47	sources	source	NOUN
cet-12815	95	48	.	.	PUNCT
cet-12815	96	1	different	different	ADJ
cet-12815	96	2	processing	processing	NOUN
cet-12815	96	3	approaches	approach	NOUN
cet-12815	96	4	were	be	AUX
cet-12815	96	5	used	use	VERB
cet-12815	96	6	such	such	ADJ
cet-12815	96	7	as	as	ADP
cet-12815	96	8	ffnn	ffnn	NOUN
cet-12815	96	9	as	as	ADP
cet-12815	96	10	non	non	ADJ
cet-12815	96	11	-	-	ADJ
cet-12815	96	12	parametric	parametric	ADJ
cet-12815	96	13	technique	technique	NOUN
cet-12815	96	14	,	,	PUNCT
cet-12815	96	15	and	and	CCONJ
cet-12815	96	16	pls	pls	INTJ
cet-12815	96	17	and	and	CCONJ
cet-12815	96	18	lda	lda	VERB
cet-12815	96	19	as	as	ADP
cet-12815	96	20	parametric	parametric	ADJ
cet-12815	96	21	techniques	technique	NOUN
cet-12815	96	22	.	.	PUNCT
cet-12815	97	1	moreover	moreover	ADV
cet-12815	97	2	,	,	PUNCT
cet-12815	97	3	7	7	NUM
cet-12815	97	4	classes	class	NOUN
cet-12815	97	5	were	be	AUX
cet-12815	97	6	identified	identify	VERB
cet-12815	97	7	for	for	ADP
cet-12815	97	8	the	the	DET
cet-12815	97	9	ocmm	ocmm	NOUN
cet-12815	97	10	(	(	PUNCT
cet-12815	97	11	odour	odour	INTJ
cet-12815	97	12	classification	classification	NOUN
cet-12815	97	13	)	)	PUNCT
cet-12815	97	14	,	,	PUNCT
cet-12815	97	15	while	while	SCONJ
cet-12815	97	16	odour	odour	ADJ
cet-12815	97	17	concentration	concentration	NOUN
cet-12815	97	18	serves	serve	VERB
cet-12815	97	19	as	as	ADP
cet-12815	97	20	target	target	NOUN
cet-12815	97	21	output	output	NOUN
cet-12815	97	22	for	for	ADP
cet-12815	97	23	oqmm	oqmm	ADJ
cet-12815	97	24	(	(	PUNCT
cet-12815	97	25	odour	odour	INTJ
cet-12815	97	26	quantification	quantification	NOUN
cet-12815	97	27	)	)	PUNCT
cet-12815	97	28	.	.	PUNCT
cet-12815	98	1	results	result	NOUN
cet-12815	98	2	show	show	VERB
cet-12815	98	3	that	that	SCONJ
cet-12815	98	4	for	for	ADP
cet-12815	98	5	the	the	DET
cet-12815	98	6	investigated	investigate	VERB
cet-12815	98	7	study	study	NOUN
cet-12815	98	8	,	,	PUNCT
cet-12815	98	9	ffnn	ffnn	NOUN
cet-12815	98	10	emerged	emerge	VERB
cet-12815	98	11	as	as	ADP
cet-12815	98	12	the	the	DET
cet-12815	98	13	ideal	ideal	ADJ
cet-12815	98	14	ocmm	ocmm	NOUN
cet-12815	98	15	and	and	CCONJ
cet-12815	98	16	oqmm	oqmm	ADJ
cet-12815	98	17	using	use	VERB
cet-12815	98	18	the	the	DET
cet-12815	98	19	piecemeal	piecemeal	ADJ
cet-12815	98	20	data	datum	NOUN
cet-12815	98	21	in	in	ADP
cet-12815	98	22	the	the	DET
cet-12815	98	23	peak	peak	NOUN
cet-12815	98	24	period	period	NOUN
cet-12815	98	25	.	.	PUNCT
cet-12815	99	1	however	however	ADV
cet-12815	99	2	,	,	PUNCT
cet-12815	99	3	it	it	PRON
cet-12815	99	4	should	should	AUX
cet-12815	99	5	be	be	AUX
cet-12815	99	6	emphasized	emphasize	VERB
cet-12815	99	7	that	that	SCONJ
cet-12815	99	8	the	the	DET
cet-12815	99	9	development	development	NOUN
cet-12815	99	10	of	of	ADP
cet-12815	99	11	ffnn	ffnn	NOUN
cet-12815	99	12	is	be	AUX
cet-12815	99	13	laborious	laborious	ADJ
cet-12815	99	14	and	and	CCONJ
cet-12815	99	15	time	time	NOUN
cet-12815	99	16	-	-	PUNCT
cet-12815	99	17	consuming	consume	VERB
cet-12815	99	18	and	and	CCONJ
cet-12815	99	19	has	have	VERB
cet-12815	99	20	limitations	limitation	NOUN
cet-12815	99	21	on	on	ADP
cet-12815	99	22	exploiting	exploit	VERB
cet-12815	99	23	variables	variable	NOUN
cet-12815	99	24	’	'	PUNCT
cet-12815	99	25	interaction	interaction	NOUN
cet-12815	99	26	.	.	PUNCT
cet-12815	100	1	on	on	ADP
cet-12815	100	2	the	the	DET
cet-12815	100	3	other	other	ADJ
cet-12815	100	4	hand	hand	NOUN
cet-12815	100	5	,	,	PUNCT
cet-12815	100	6	pls	pls	INTJ
cet-12815	100	7	and	and	CCONJ
cet-12815	100	8	lda	lda	PROPN
cet-12815	100	9	,	,	PUNCT
cet-12815	100	10	show	show	VERB
cet-12815	100	11	fast	fast	ADJ
cet-12815	100	12	execution	execution	NOUN
cet-12815	100	13	,	,	PUNCT
cet-12815	100	14	are	be	AUX
cet-12815	100	15	less	less	ADV
cet-12815	100	16	complex	complex	ADJ
cet-12815	100	17	,	,	PUNCT
cet-12815	100	18	and	and	CCONJ
cet-12815	100	19	consist	consist	VERB
cet-12815	100	20	of	of	ADP
cet-12815	100	21	features	feature	NOUN
cet-12815	100	22	that	that	PRON
cet-12815	100	23	reveal	reveal	VERB
cet-12815	100	24	and	and	CCONJ
cet-12815	100	25	independent	independent	ADJ
cet-12815	100	26	and	and	CCONJ
cet-12815	100	27	dependent	dependent	ADJ
cet-12815	100	28	variable	variable	ADJ
cet-12815	100	29	interaction	interaction	NOUN
cet-12815	100	30	.	.	PUNCT
cet-12815	101	1	but	but	CCONJ
cet-12815	101	2	,	,	PUNCT
cet-12815	101	3	pls	pls	INTJ
cet-12815	101	4	and	and	CCONJ
cet-12815	101	5	lda	lda	PROPN
cet-12815	101	6	have	have	VERB
cet-12815	101	7	a	a	DET
cet-12815	101	8	bounded	bounded	ADJ
cet-12815	101	9	prediction	prediction	NOUN
cet-12815	101	10	capability	capability	NOUN
cet-12815	101	11	,	,	PUNCT
cet-12815	101	12	being	be	AUX
cet-12815	101	13	dependent	dependent	ADJ
cet-12815	101	14	to	to	ADP
cet-12815	101	15	linearity	linearity	NOUN
cet-12815	101	16	.	.	PUNCT
cet-12815	102	1	this	this	DET
cet-12815	102	2	issue	issue	NOUN
cet-12815	102	3	could	could	AUX
cet-12815	102	4	only	only	ADV
cet-12815	102	5	be	be	AUX
cet-12815	102	6	overcome	overcome	VERB
cet-12815	102	7	when	when	SCONJ
cet-12815	102	8	supplying	supply	VERB
cet-12815	102	9	more	more	ADJ
cet-12815	102	10	samples	sample	NOUN
cet-12815	102	11	in	in	ADP
cet-12815	102	12	the	the	DET
cet-12815	102	13	dataset	dataset	NOUN
cet-12815	102	14	,	,	PUNCT
cet-12815	102	15	unlike	unlike	ADP
cet-12815	102	16	ann	ann	PROPN
cet-12815	102	17	,	,	PUNCT
cet-12815	102	18	it	it	PRON
cet-12815	102	19	could	could	AUX
cet-12815	102	20	adopt	adopt	VERB
cet-12815	102	21	a	a	DET
cet-12815	102	22	strong	strong	ADJ
cet-12815	102	23	pattern	pattern	NOUN
cet-12815	102	24	based	base	VERB
cet-12815	102	25	on	on	ADP
cet-12815	102	26	the	the	DET
cet-12815	102	27	available	available	ADJ
cet-12815	102	28	data	data	NOUN
cet-12815	102	29	resources	resource	NOUN
cet-12815	102	30	.	.	PUNCT
cet-12815	103	1	furthermore	furthermore	ADV
cet-12815	103	2	,	,	PUNCT
cet-12815	103	3	ffnn	ffnn	VERB
cet-12815	103	4	ocmm	ocmm	NOUN
cet-12815	103	5	and	and	CCONJ
cet-12815	103	6	oqmm	oqmm	ADJ
cet-12815	103	7	typology	typology	NOUN
cet-12815	103	8	was	be	AUX
cet-12815	103	9	found	find	VERB
cet-12815	103	10	to	to	PART
cet-12815	103	11	be	be	AUX
cet-12815	103	12	14	14	NUM
cet-12815	103	13	-	-	SYM
cet-12815	103	14	8	8	NUM
cet-12815	103	15	-	-	SYM
cet-12815	103	16	7	7	NUM
cet-12815	103	17	and	and	CCONJ
cet-12815	103	18	14	14	NUM
cet-12815	103	19	-	-	SYM
cet-12815	103	20	8	8	NUM
cet-12815	103	21	-	-	SYM
cet-12815	103	22	1	1	NUM
cet-12815	103	23	,	,	PUNCT
cet-12815	103	24	respectively	respectively	ADV
cet-12815	103	25	.	.	PUNCT
cet-12815	104	1	for	for	ADP
cet-12815	104	2	pls	pls	PROPN
cet-12815	104	3	,	,	PUNCT
cet-12815	104	4	7	7	NUM
cet-12815	104	5	components	component	NOUN
cet-12815	104	6	are	be	AUX
cet-12815	104	7	ideal	ideal	ADJ
cet-12815	104	8	,	,	PUNCT
cet-12815	104	9	and	and	CCONJ
cet-12815	104	10	7	7	NUM
cet-12815	104	11	discriminant	discriminant	NOUN
cet-12815	104	12	functions	function	NOUN
cet-12815	104	13	for	for	ADP
cet-12815	104	14	lda	lda	PROPN
cet-12815	104	15	.	.	PUNCT
cet-12815	105	1	95	95	NUM
cet-12815	105	2	references	reference	NOUN
cet-12815	105	3	blanco	blanco	PROPN
cet-12815	105	4	-	-	PUNCT
cet-12815	105	5	rodríguez	rodríguez	PROPN
cet-12815	105	6	a.	a.	NOUN
cet-12815	105	7	,	,	PUNCT
cet-12815	105	8	camara	camara	PROPN
cet-12815	105	9	v.f	v.f	PROPN
cet-12815	105	10	.	.	PROPN
cet-12815	105	11	,	,	PUNCT
cet-12815	105	12	campo	campo	PROPN
cet-12815	105	13	f.	f.	PROPN
cet-12815	105	14	,	,	PUNCT
cet-12815	105	15	becherán	becherán	PROPN
cet-12815	105	16	l.	l.	PROPN
cet-12815	105	17	,	,	PUNCT
cet-12815	105	18	durán	durán	PROPN
cet-12815	105	19	a.	a.	PROPN
cet-12815	105	20	,	,	PUNCT
cet-12815	105	21	vieira	vieira	PROPN
cet-12815	105	22	v.d	v.d	PROPN
cet-12815	105	23	.	.	PROPN
cet-12815	105	24	,	,	PUNCT
cet-12815	105	25	de	de	PROPN
cet-12815	105	26	melo	melo	PROPN
cet-12815	105	27	h.	h.	PROPN
cet-12815	105	28	,	,	PUNCT
cet-12815	105	29	garcia	garcia	PROPN
cet-12815	105	30	-	-	PUNCT
cet-12815	105	31	ramirez	ramirez	PROPN
cet-12815	105	32	a.r	a.r	PROPN
cet-12815	105	33	.	.	PROPN
cet-12815	105	34	,	,	PUNCT
cet-12815	105	35	2018	2018	NUM
cet-12815	105	36	.	.	PUNCT
cet-12815	106	1	development	development	NOUN
cet-12815	106	2	of	of	ADP
cet-12815	106	3	an	an	DET
cet-12815	106	4	electronic	electronic	ADJ
cet-12815	106	5	nose	nose	NOUN
cet-12815	106	6	to	to	PART
cet-12815	106	7	characterize	characterize	VERB
cet-12815	106	8	odours	odour	NOUN
cet-12815	106	9	emitted	emit	VERB
cet-12815	106	10	from	from	ADP
cet-12815	106	11	different	different	ADJ
cet-12815	106	12	stages	stage	NOUN
cet-12815	106	13	in	in	ADP
cet-12815	106	14	a	a	DET
cet-12815	106	15	wastewater	wastewater	NOUN
cet-12815	106	16	treatment	treatment	NOUN
cet-12815	106	17	plant	plant	NOUN
cet-12815	106	18	.	.	PUNCT
cet-12815	107	1	water	water	NOUN
cet-12815	107	2	research	research	NOUN
cet-12815	107	3	134	134	NUM
cet-12815	107	4	,	,	PUNCT
cet-12815	107	5	92–100	92–100	NUM
cet-12815	107	6	.	.	PUNCT
cet-12815	108	1	https://doi.org/10.1016/j.watres.2018.01.067	https://doi.org/10.1016/j.watres.2018.01.067	NOUN
cet-12815	108	2	bokowa	bokowa	PROPN
cet-12815	108	3	a.	a.	NOUN
cet-12815	108	4	,	,	PUNCT
cet-12815	108	5	diaz	diaz	PROPN
cet-12815	108	6	c.	c.	PROPN
cet-12815	108	7	,	,	PUNCT
cet-12815	108	8	koziel	koziel	PROPN
cet-12815	108	9	j.a	j.a	PROPN
cet-12815	108	10	.	.	PROPN
cet-12815	108	11	,	,	PUNCT
cet-12815	108	12	mcginley	mcginley	PROPN
cet-12815	108	13	m.	m.	PROPN
cet-12815	108	14	,	,	PUNCT
cet-12815	108	15	barclay	barclay	PROPN
cet-12815	108	16	j.	j.	PROPN
cet-12815	108	17	,	,	PUNCT
cet-12815	108	18	schauberger	schauberger	PROPN
cet-12815	108	19	g.	g.	PROPN
cet-12815	108	20	,	,	PUNCT
cet-12815	108	21	guillot	guillot	ADJ
cet-12815	108	22	j.m	j.m	PROPN
cet-12815	108	23	.	.	PROPN
cet-12815	108	24	,	,	PUNCT
cet-12815	108	25	sneath	sneath	PROPN
cet-12815	108	26	r.	r.	PROPN
cet-12815	108	27	,	,	PUNCT
cet-12815	108	28	capelli	capelli	PROPN
cet-12815	108	29	l.	l.	PROPN
cet-12815	108	30	,	,	PUNCT
cet-12815	108	31	zorich	zorich	PROPN
cet-12815	108	32	v.	v.	PROPN
cet-12815	108	33	,	,	PUNCT
cet-12815	108	34	izquierdo	izquierdo	PROPN
cet-12815	108	35	c.	c.	PROPN
cet-12815	108	36	,	,	PUNCT
cet-12815	108	37	bilsen	bilsen	PROPN
cet-12815	108	38	i.	i.	PROPN
cet-12815	108	39	,	,	PUNCT
cet-12815	108	40	romain	romain	PROPN
cet-12815	108	41	a.c	a.c	PROPN
cet-12815	108	42	.	.	PROPN
cet-12815	108	43	,	,	PUNCT
cet-12815	108	44	del	del	PROPN
cet-12815	108	45	carmen	carmen	PROPN
cet-12815	108	46	cabeza	cabeza	PROPN
cet-12815	108	47	m.	m.	PROPN
cet-12815	108	48	,	,	PUNCT
cet-12815	108	49	liu	liu	PROPN
cet-12815	108	50	d.	d.	PROPN
cet-12815	108	51	,	,	PUNCT
cet-12815	108	52	both	both	DET
cet-12815	108	53	r.	r.	PROPN
cet-12815	108	54	,	,	PUNCT
cet-12815	108	55	van	van	PROPN
cet-12815	108	56	belois	belois	PROPN
cet-12815	108	57	h.	h.	PROPN
cet-12815	108	58	,	,	PUNCT
cet-12815	108	59	higuchi	higuchi	PROPN
cet-12815	108	60	t.	t.	PROPN
cet-12815	108	61	,	,	PUNCT
cet-12815	108	62	wahe	wahe	PROPN
cet-12815	108	63	l.	l.	PROPN
cet-12815	108	64	,	,	PUNCT
cet-12815	108	65	2021	2021	NUM
cet-12815	108	66	.	.	PUNCT
cet-12815	109	1	summary	summary	NOUN
cet-12815	109	2	and	and	CCONJ
cet-12815	109	3	overview	overview	NOUN
cet-12815	109	4	of	of	ADP
cet-12815	109	5	the	the	DET
cet-12815	109	6	odour	odour	NOUN
cet-12815	109	7	regulationsworldwide	regulationsworldwide	NOUN
cet-12815	109	8	.	.	PUNCT
cet-12815	110	1	atmosphere	atmosphere	NOUN
cet-12815	110	2	(	(	PUNCT
cet-12815	110	3	basel	basel	PROPN
cet-12815	110	4	)	)	PUNCT
cet-12815	110	5	.	.	PUNCT
cet-12815	111	1	12	12	NUM
cet-12815	111	2	.	.	PUNCT
cet-12815	112	1	https://doi.org/10.3390/atmos12020206	https://doi.org/10.3390/atmos12020206	PROPN
cet-12815	112	2	botta	botta	PROPN
cet-12815	112	3	s.	s.	PROPN
cet-12815	112	4	,	,	PUNCT
cet-12815	112	5	onofrio	onofrio	PROPN
cet-12815	112	6	m.	m.	PROPN
cet-12815	112	7	,	,	PUNCT
cet-12815	112	8	spataro	spataro	PROPN
cet-12815	112	9	r.	r.	PROPN
cet-12815	112	10	,	,	PUNCT
cet-12815	112	11	2020	2020	NUM
cet-12815	112	12	.	.	PUNCT
cet-12815	113	1	a	a	DET
cet-12815	113	2	review	review	NOUN
cet-12815	113	3	on	on	ADP
cet-12815	113	4	the	the	DET
cet-12815	113	5	use	use	NOUN
cet-12815	113	6	of	of	ADP
cet-12815	113	7	air	air	NOUN
cet-12815	113	8	dispersion	dispersion	NOUN
cet-12815	113	9	models	model	NOUN
cet-12815	113	10	for	for	ADP
cet-12815	113	11	odour	odour	NOUN
cet-12815	113	12	assessment	assessment	NOUN
cet-12815	113	13	.	.	PUNCT
cet-12815	114	1	int	int	NOUN
cet-12815	114	2	.	.	PUNCT
cet-12815	115	1	journal	journal	PROPN
cet-12815	115	2	environmental	environmental	ADJ
cet-12815	115	3	pollution	pollution	NOUN
cet-12815	115	4	67	67	NUM
cet-12815	115	5	,	,	PUNCT
cet-12815	115	6	1	1	NUM
cet-12815	115	7	.	.	PUNCT
cet-12815	116	1	https://doi.org/10.1504/ijep.2020.10030406	https://doi.org/10.1504/ijep.2020.10030406	PROPN
cet-12815	116	2	conti	conti	PROPN
cet-12815	116	3	c.	c.	PROPN
cet-12815	116	4	,	,	PUNCT
cet-12815	116	5	guarino	guarino	PROPN
cet-12815	116	6	m.	m.	NOUN
cet-12815	116	7	,	,	PUNCT
cet-12815	116	8	bacenetti	bacenetti	ADJ
cet-12815	116	9	j.	j.	PROPN
cet-12815	116	10	,	,	PUNCT
cet-12815	116	11	2020	2020	NUM
cet-12815	116	12	.	.	PUNCT
cet-12815	117	1	measurements	measurement	NOUN
cet-12815	117	2	techniques	technique	NOUN
cet-12815	117	3	and	and	CCONJ
cet-12815	117	4	models	model	NOUN
cet-12815	117	5	to	to	PART
cet-12815	117	6	assess	assess	VERB
cet-12815	117	7	odor	odor	NOUN
cet-12815	117	8	annoyance	annoyance	NOUN
cet-12815	117	9	:	:	PUNCT
cet-12815	117	10	a	a	DET
cet-12815	117	11	review	review	NOUN
cet-12815	117	12	.	.	PUNCT
cet-12815	118	1	environmental	environmental	ADJ
cet-12815	118	2	international	international	ADJ
cet-12815	118	3	134	134	NUM
cet-12815	118	4	,	,	PUNCT
cet-12815	118	5	105261	105261	NUM
cet-12815	118	6	.	.	PUNCT
cet-12815	119	1	https://doi.org/10.1016/j.envint.2019.105261	https://doi.org/10.1016/j.envint.2019.105261	PROPN
cet-12815	119	2	full	full	ADJ
cet-12815	119	3	j.	j.	PROPN
cet-12815	119	4	,	,	PUNCT
cet-12815	119	5	delbrück	delbrück	PROPN
cet-12815	119	6	l.	l.	PROPN
cet-12815	119	7	,	,	PUNCT
cet-12815	119	8	sauer	sauer	PROPN
cet-12815	119	9	a.	a.	PROPN
cet-12815	119	10	,	,	PUNCT
cet-12815	119	11	miehe	miehe	PROPN
cet-12815	119	12	r.	r.	PROPN
cet-12815	119	13	,	,	PUNCT
cet-12815	119	14	2020	2020	NUM
cet-12815	119	15	.	.	PUNCT
cet-12815	120	1	systematic	systematic	ADJ
cet-12815	120	2	derivation	derivation	NOUN
cet-12815	120	3	of	of	ADP
cet-12815	120	4	new	new	ADJ
cet-12815	120	5	fields	field	NOUN
cet-12815	120	6	of	of	ADP
cet-12815	120	7	application	application	NOUN
cet-12815	120	8	for	for	ADP
cet-12815	120	9	innovative	innovative	ADJ
cet-12815	120	10	bio	bio	NOUN
cet-12815	120	11	-	-	PUNCT
cet-12815	120	12	based	base	VERB
cet-12815	120	13	odour	odour	NOUN
cet-12815	120	14	sensors	sensor	NOUN
cet-12815	120	15	with	with	ADP
cet-12815	120	16	transfected	transfecte	VERB
cet-12815	120	17	cells	cell	NOUN
cet-12815	120	18	and	and	CCONJ
cet-12815	120	19	analysis	analysis	NOUN
cet-12815	120	20	of	of	ADP
cet-12815	120	21	economic	economic	ADJ
cet-12815	120	22	potentials	potential	NOUN
cet-12815	120	23	7029	7029	NUM
cet-12815	120	24	.	.	PUNCT
cet-12815	121	1	https://doi.org/10.3390/iecb2020-07029	https://doi.org/10.3390/iecb2020-07029	PROPN
cet-12815	121	2	giuliani	giuliani	PROPN
cet-12815	121	3	s.	s.	PROPN
cet-12815	121	4	,	,	PUNCT
cet-12815	121	5	zarra	zarra	PROPN
cet-12815	121	6	t.	t.	PROPN
cet-12815	121	7	,	,	PUNCT
cet-12815	121	8	nicolas	nicolas	PROPN
cet-12815	121	9	j.	j.	PROPN
cet-12815	121	10	,	,	PUNCT
cet-12815	121	11	naddeo	naddeo	PROPN
cet-12815	121	12	v.	v.	PROPN
cet-12815	121	13	,	,	PUNCT
cet-12815	121	14	belgiorno	belgiorno	PROPN
cet-12815	121	15	v.	v.	PROPN
cet-12815	121	16	,	,	PUNCT
cet-12815	121	17	romain	romain	PROPN
cet-12815	121	18	a.c	a.c	PROPN
cet-12815	121	19	.	.	PROPN
cet-12815	121	20	,	,	PUNCT
cet-12815	121	21	2012	2012	NUM
cet-12815	121	22	.	.	PUNCT
cet-12815	122	1	an	an	DET
cet-12815	122	2	alternative	alternative	ADJ
cet-12815	122	3	approach	approach	NOUN
cet-12815	122	4	of	of	ADP
cet-12815	122	5	the	the	DET
cet-12815	122	6	enose	enose	NOUN
cet-12815	122	7	training	training	NOUN
cet-12815	122	8	phase	phase	NOUN
cet-12815	122	9	in	in	ADP
cet-12815	122	10	odour	odour	NOUN
cet-12815	122	11	impact	impact	NOUN
cet-12815	122	12	assessment	assessment	NOUN
cet-12815	122	13	.	.	PUNCT
cet-12815	123	1	chemical	chemical	NOUN
cet-12815	123	2	engineering	engineering	NOUN
cet-12815	123	3	transactions	transaction	NOUN
cet-12815	123	4	30	30	NUM
cet-12815	123	5	,	,	PUNCT
cet-12815	123	6	139–144	139–144	NUM
cet-12815	123	7	.	.	PUNCT
cet-12815	124	1	https://doi.org/10.3303/cet1230024	https://doi.org/10.3303/cet1230024	PROPN
cet-12815	124	2	herrero	herrero	PROPN
cet-12815	124	3	j.l	j.l	PROPN
cet-12815	124	4	.	.	PROPN
cet-12815	124	5	,	,	PUNCT
cet-12815	124	6	lozano	lozano	PROPN
cet-12815	124	7	j.	j.	PROPN
cet-12815	124	8	,	,	PUNCT
cet-12815	124	9	santos	santos	PROPN
cet-12815	124	10	j.p	j.p	PROPN
cet-12815	124	11	.	.	PROPN
cet-12815	124	12	,	,	PUNCT
cet-12815	124	13	suárez	suárez	PROPN
cet-12815	124	14	j.i	j.i	PROPN
cet-12815	124	15	.	.	PROPN
cet-12815	124	16	,	,	PUNCT
cet-12815	124	17	2016	2016	NUM
cet-12815	124	18	.	.	PUNCT
cet-12815	125	1	on	on	ADP
cet-12815	125	2	-	-	PUNCT
cet-12815	125	3	line	line	NOUN
cet-12815	125	4	classification	classification	NOUN
cet-12815	125	5	of	of	ADP
cet-12815	125	6	pollutants	pollutant	NOUN
cet-12815	125	7	in	in	ADP
cet-12815	125	8	water	water	NOUN
cet-12815	125	9	using	use	VERB
cet-12815	125	10	wireless	wireless	ADJ
cet-12815	125	11	portable	portable	ADJ
cet-12815	125	12	electronic	electronic	ADJ
cet-12815	125	13	noses	nose	NOUN
cet-12815	125	14	.	.	PUNCT
cet-12815	126	1	chemosphere	chemosphere	VERB
cet-12815	126	2	152	152	NUM
cet-12815	126	3	,	,	PUNCT
cet-12815	126	4	107–116	107–116	NUM
cet-12815	126	5	.	.	PUNCT
cet-12815	127	1	https://doi.org/https://doi.org/10.1016/j.chemosphere.2016.02.106	https://doi.org/https://doi.org/10.1016/j.chemosphere.2016.02.106	PROPN
cet-12815	127	2	keller	keller	PROPN
cet-12815	127	3	a.	a.	PROPN
cet-12815	127	4	,	,	PUNCT
cet-12815	127	5	gerkin	gerkin	PROPN
cet-12815	127	6	r.c	r.c	PROPN
cet-12815	127	7	.	.	PROPN
cet-12815	127	8	,	,	PUNCT
cet-12815	127	9	guan	guan	PROPN
cet-12815	127	10	y.	y.	PROPN
cet-12815	127	11	,	,	PUNCT
cet-12815	127	12	dhurandhar	dhurandhar	PROPN
cet-12815	127	13	a.	a.	NOUN
cet-12815	127	14	,	,	PUNCT
cet-12815	127	15	turu	turu	CCONJ
cet-12815	127	16	g.	g.	PROPN
cet-12815	127	17	,	,	PUNCT
cet-12815	127	18	szalai	szalai	PROPN
cet-12815	127	19	b.	b.	PROPN
cet-12815	127	20	,	,	PUNCT
cet-12815	127	21	mainland	mainland	NOUN
cet-12815	127	22	j.d	j.d	PROPN
cet-12815	127	23	.	.	PROPN
cet-12815	127	24	,	,	PUNCT
cet-12815	127	25	ihara	ihara	PROPN
cet-12815	127	26	y.	y.	PROPN
cet-12815	127	27	,	,	PUNCT
cet-12815	127	28	yu	yu	PROPN
cet-12815	127	29	c.w	c.w	PROPN
cet-12815	127	30	.	.	PROPN
cet-12815	127	31	,	,	PUNCT
cet-12815	127	32	wolfinger	wolfinger	PROPN
cet-12815	127	33	r.	r.	PROPN
cet-12815	127	34	,	,	PUNCT
cet-12815	127	35	vens	vens	PROPN
cet-12815	127	36	c.	c.	PROPN
cet-12815	127	37	,	,	PUNCT
cet-12815	127	38	schietgat	schietgat	PROPN
cet-12815	127	39	l.	l.	PROPN
cet-12815	127	40	,	,	PUNCT
cet-12815	127	41	de	de	X
cet-12815	127	42	grave	grave	PROPN
cet-12815	127	43	k.	k.	PROPN
cet-12815	127	44	,	,	PUNCT
cet-12815	127	45	norel	norel	PROPN
cet-12815	127	46	r.	r.	PROPN
cet-12815	127	47	,	,	PUNCT
cet-12815	127	48	stolovitzky	stolovitzky	PROPN
cet-12815	127	49	g.	g.	PROPN
cet-12815	127	50	,	,	PUNCT
cet-12815	127	51	cecchi	cecchi	NOUN
cet-12815	127	52	g.a	g.a	PROPN
cet-12815	127	53	.	.	PROPN
cet-12815	127	54	,	,	PUNCT
cet-12815	127	55	vosshall	vosshall	PROPN
cet-12815	127	56	l.b	l.b	PROPN
cet-12815	127	57	.	.	PROPN
cet-12815	127	58	,	,	PUNCT
cet-12815	127	59	meyer	meyer	PROPN
cet-12815	127	60	p.	p.	PROPN
cet-12815	127	61	,	,	PUNCT
cet-12815	127	62	bhondekar	bhondekar	PROPN
cet-12815	127	63	a.p	a.p	PROPN
cet-12815	127	64	.	.	PROPN
cet-12815	127	65	,	,	PUNCT
cet-12815	127	66	boutros	boutros	PROPN
cet-12815	127	67	p.c	p.c	PROPN
cet-12815	127	68	.	.	PROPN
cet-12815	127	69	,	,	PUNCT
cet-12815	127	70	chang	chang	PROPN
cet-12815	127	71	y.c	y.c	PROPN
cet-12815	127	72	.	.	PROPN
cet-12815	127	73	,	,	PUNCT
cet-12815	127	74	chen	chen	PROPN
cet-12815	127	75	c.y	c.y	PROPN
cet-12815	127	76	.	.	PROPN
cet-12815	127	77	,	,	PUNCT
cet-12815	127	78	cherng	cherng	PROPN
cet-12815	127	79	b.w	b.w	PROPN
cet-12815	127	80	.	.	PROPN
cet-12815	127	81	,	,	PUNCT
cet-12815	127	82	dimitriev	dimitriev	PROPN
cet-12815	127	83	a.	a.	NOUN
cet-12815	127	84	,	,	PUNCT
cet-12815	127	85	dolenc	dolenc	PROPN
cet-12815	127	86	a.	a.	PROPN
cet-12815	127	87	,	,	PUNCT
cet-12815	127	88	falcao	falcao	PROPN
cet-12815	127	89	a.o	a.o	PROPN
cet-12815	127	90	.	.	PROPN
cet-12815	127	91	,	,	PUNCT
cet-12815	127	92	golińska	golińska	PROPN
cet-12815	127	93	a.k	a.k	PROPN
cet-12815	127	94	.	.	PROPN
cet-12815	127	95	,	,	PUNCT
cet-12815	127	96	hong	hong	PROPN
cet-12815	127	97	m.y	m.y	PROPN
cet-12815	127	98	.	.	PROPN
cet-12815	127	99	,	,	PUNCT
cet-12815	127	100	hsieh	hsieh	PROPN
cet-12815	127	101	p.h	p.h	PROPN
cet-12815	127	102	.	.	PROPN
cet-12815	127	103	,	,	PUNCT
cet-12815	127	104	huang	huang	PROPN
cet-12815	127	105	b.f	b.f	PROPN
cet-12815	127	106	.	.	PROPN
cet-12815	127	107	,	,	PUNCT
cet-12815	127	108	hunyady	hunyady	PROPN
cet-12815	127	109	l.	l.	PROPN
cet-12815	127	110	,	,	PUNCT
cet-12815	127	111	kaur	kaur	PROPN
cet-12815	127	112	r.	r.	PROPN
cet-12815	127	113	,	,	PUNCT
cet-12815	127	114	kazanov	kazanov	PROPN
cet-12815	127	115	m.d	m.d	PROPN
cet-12815	127	116	.	.	PROPN
cet-12815	127	117	,	,	PUNCT
cet-12815	127	118	kumar	kumar	PROPN
cet-12815	127	119	r.	r.	PROPN
cet-12815	127	120	,	,	PUNCT
cet-12815	127	121	lesiński	lesiński	PROPN
cet-12815	127	122	w.	w.	PROPN
cet-12815	127	123	,	,	PUNCT
cet-12815	127	124	lin	lin	PROPN
cet-12815	127	125	x.	x.	PROPN
cet-12815	127	126	,	,	PUNCT
cet-12815	127	127	matteson	matteson	PROPN
cet-12815	127	128	a.	a.	PROPN
cet-12815	127	129	,	,	PUNCT
cet-12815	127	130	oyang	oyang	PROPN
cet-12815	127	131	y.j	y.j	PROPN
cet-12815	127	132	.	.	PROPN
cet-12815	127	133	,	,	PUNCT
cet-12815	127	134	panwar	panwar	PROPN
cet-12815	127	135	b.	b.	PROPN
cet-12815	127	136	,	,	PUNCT
cet-12815	127	137	piliszek	piliszek	PROPN
cet-12815	127	138	r.	r.	PROPN
cet-12815	127	139	,	,	PUNCT
cet-12815	127	140	polewko	polewko	NOUN
cet-12815	127	141	-	-	PUNCT
cet-12815	127	142	klim	klim	NOUN
cet-12815	127	143	a.	a.	PROPN
cet-12815	127	144	,	,	PUNCT
cet-12815	127	145	raghava	raghava	ADJ
cet-12815	127	146	g.p.s	g.p.s	PROPN
cet-12815	127	147	.	.	PROPN
cet-12815	127	148	,	,	PUNCT
cet-12815	127	149	rudnicki	rudnicki	PROPN
cet-12815	127	150	w.r	w.r	PROPN
cet-12815	127	151	.	.	PROPN
cet-12815	127	152	,	,	PUNCT
cet-12815	127	153	saiz	saiz	PROPN
cet-12815	127	154	l.	l.	PROPN
cet-12815	127	155	,	,	PUNCT
cet-12815	127	156	sun	sun	PROPN
cet-12815	127	157	r.x	r.x	PROPN
cet-12815	127	158	.	.	PROPN
cet-12815	127	159	,	,	PUNCT
cet-12815	127	160	toplak	toplak	ADJ
cet-12815	127	161	m.	m.	NOUN
cet-12815	127	162	,	,	PUNCT
cet-12815	127	163	tung	tung	PROPN
cet-12815	127	164	y.a	y.a	PROPN
cet-12815	127	165	.	.	PROPN
cet-12815	127	166	,	,	PUNCT
cet-12815	127	167	us	us	PROPN
cet-12815	127	168	p.	p.	NOUN
cet-12815	127	169	,	,	PUNCT
cet-12815	127	170	várnai	várnai	PROPN
cet-12815	127	171	p.	p.	NOUN
cet-12815	127	172	,	,	PUNCT
cet-12815	127	173	vilar	vilar	PROPN
cet-12815	127	174	j.	j.	PROPN
cet-12815	127	175	,	,	PUNCT
cet-12815	127	176	xie	xie	PROPN
cet-12815	127	177	m.	m.	PROPN
cet-12815	127	178	,	,	PUNCT
cet-12815	127	179	yao	yao	PROPN
cet-12815	127	180	d.	d.	PROPN
cet-12815	127	181	,	,	PUNCT
cet-12815	127	182	zitnik	zitnik	PROPN
cet-12815	127	183	m.	m.	PROPN
cet-12815	127	184	,	,	PUNCT
cet-12815	127	185	zupan	zupan	PROPN
cet-12815	127	186	b.	b.	PROPN
cet-12815	127	187	,	,	PUNCT
cet-12815	127	188	2017	2017	NUM
cet-12815	127	189	.	.	PUNCT
cet-12815	128	1	predicting	predict	VERB
cet-12815	128	2	human	human	ADJ
cet-12815	128	3	olfactory	olfactory	ADJ
cet-12815	128	4	perception	perception	NOUN
cet-12815	128	5	from	from	ADP
cet-12815	128	6	chemical	chemical	ADJ
cet-12815	128	7	features	feature	NOUN
cet-12815	128	8	of	of	ADP
cet-12815	128	9	odor	odor	NOUN
cet-12815	128	10	molecules	molecule	NOUN
cet-12815	128	11	.	.	PUNCT
cet-12815	129	1	science	science	NOUN
cet-12815	129	2	.	.	PUNCT
cet-12815	130	1	355	355	NUM
cet-12815	130	2	,	,	PUNCT
cet-12815	130	3	820–826	820–826	NUM
cet-12815	130	4	.	.	PUNCT
cet-12815	131	1	https://doi.org/10.1126/science.aal2014	https://doi.org/10.1126/science.aal2014	PROPN
cet-12815	131	2	licen	licen	PROPN
cet-12815	131	3	s.	s.	PROPN
cet-12815	131	4	,	,	PUNCT
cet-12815	131	5	barbieri	barbieri	PROPN
cet-12815	131	6	g.	g.	PROPN
cet-12815	131	7	,	,	PUNCT
cet-12815	131	8	fabbris	fabbris	PROPN
cet-12815	131	9	a.	a.	NOUN
cet-12815	131	10	,	,	PUNCT
cet-12815	131	11	briguglio	briguglio	PROPN
cet-12815	131	12	s.c	s.c	PROPN
cet-12815	131	13	.	.	PROPN
cet-12815	131	14	,	,	PUNCT
cet-12815	131	15	pillon	pillon	NOUN
cet-12815	131	16	a.	a.	PROPN
cet-12815	131	17	,	,	PUNCT
cet-12815	131	18	stel	stel	PROPN
cet-12815	131	19	f.	f.	PROPN
cet-12815	131	20	,	,	PUNCT
cet-12815	131	21	barbieri	barbieri	PROPN
cet-12815	131	22	p.	p.	PROPN
cet-12815	131	23	,	,	PUNCT
cet-12815	131	24	2018	2018	NUM
cet-12815	131	25	.	.	PUNCT
cet-12815	132	1	odor	odor	NOUN
cet-12815	132	2	control	control	NOUN
cet-12815	132	3	map	map	NOUN
cet-12815	132	4	:	:	PUNCT
cet-12815	132	5	self	self	NOUN
cet-12815	132	6	organizing	organizing	NOUN
cet-12815	132	7	map	map	NOUN
cet-12815	132	8	built	build	VERB
cet-12815	132	9	from	from	ADP
cet-12815	132	10	electronic	electronic	ADJ
cet-12815	132	11	nose	nose	NOUN
cet-12815	132	12	signals	signal	NOUN
cet-12815	132	13	and	and	CCONJ
cet-12815	132	14	integrated	integrate	VERB
cet-12815	132	15	by	by	ADP
cet-12815	132	16	different	different	ADJ
cet-12815	132	17	instrumental	instrumental	ADJ
cet-12815	132	18	and	and	CCONJ
cet-12815	132	19	sensorial	sensorial	ADJ
cet-12815	132	20	data	datum	NOUN
cet-12815	132	21	to	to	PART
cet-12815	132	22	obtain	obtain	VERB
cet-12815	132	23	an	an	DET
cet-12815	132	24	assessment	assessment	NOUN
cet-12815	132	25	tool	tool	NOUN
cet-12815	132	26	for	for	ADP
cet-12815	132	27	real	real	ADJ
cet-12815	132	28	environmental	environmental	ADJ
cet-12815	132	29	scenarios	scenario	NOUN
cet-12815	132	30	.	.	PUNCT
cet-12815	133	1	sensors	sensor	NOUN
cet-12815	133	2	actuators	actuator	NOUN
cet-12815	133	3	,	,	PUNCT
cet-12815	133	4	b	b	NOUN
cet-12815	133	5	chem	chem	NOUN
cet-12815	133	6	.	.	PUNCT
cet-12815	133	7	263	263	NUM
cet-12815	133	8	,	,	PUNCT
cet-12815	133	9	476–485	476–485	NUM
cet-12815	133	10	.	.	PUNCT
cet-12815	134	1	https://doi.org/10.1016/j.snb.2018.02.144	https://doi.org/10.1016/j.snb.2018.02.144	PROPN
cet-12815	134	2	oliva	oliva	PROPN
cet-12815	134	3	g.	g.	PROPN
cet-12815	134	4	,	,	PUNCT
cet-12815	134	5	zarra	zarra	PROPN
cet-12815	134	6	t.	t.	PROPN
cet-12815	134	7	,	,	PUNCT
cet-12815	134	8	pittoni	pittoni	PROPN
cet-12815	134	9	g.	g.	PROPN
cet-12815	134	10	,	,	PUNCT
cet-12815	134	11	senatore	senatore	PROPN
cet-12815	134	12	v.	v.	PROPN
cet-12815	134	13	,	,	PUNCT
cet-12815	134	14	galang	galang	PROPN
cet-12815	134	15	m.g	m.g	PROPN
cet-12815	134	16	.	.	PROPN
cet-12815	134	17	,	,	PUNCT
cet-12815	134	18	castellani	castellani	PROPN
cet-12815	134	19	m.	m.	PROPN
cet-12815	134	20	,	,	PUNCT
cet-12815	134	21	belgiorno	belgiorno	PROPN
cet-12815	134	22	v.	v.	PROPN
cet-12815	134	23	,	,	PUNCT
cet-12815	134	24	naddeo	naddeo	NOUN
cet-12815	134	25	v.	v.	ADP
cet-12815	134	26	,	,	PUNCT
cet-12815	134	27	2021	2021	NUM
cet-12815	134	28	.	.	PUNCT
cet-12815	135	1	nextgeneration	nextgeneration	NOUN
cet-12815	135	2	of	of	ADP
cet-12815	135	3	instrumental	instrumental	ADJ
cet-12815	135	4	odour	odour	NOUN
cet-12815	135	5	monitoring	monitoring	NOUN
cet-12815	135	6	system	system	NOUN
cet-12815	135	7	(	(	PUNCT
cet-12815	135	8	ioms	iom	NOUN
cet-12815	135	9	)	)	PUNCT
cet-12815	135	10	for	for	ADP
cet-12815	135	11	the	the	DET
cet-12815	135	12	gaseous	gaseous	ADJ
cet-12815	135	13	emissions	emission	NOUN
cet-12815	135	14	control	control	NOUN
cet-12815	135	15	in	in	ADP
cet-12815	135	16	complex	complex	ADJ
cet-12815	135	17	industrial	industrial	ADJ
cet-12815	135	18	plants	plant	NOUN
cet-12815	135	19	.	.	PUNCT
cet-12815	136	1	chemosphere	chemosphere	PROPN
cet-12815	136	2	271	271	NUM
cet-12815	136	3	,	,	PUNCT
cet-12815	136	4	129768	129768	NUM
cet-12815	136	5	.	.	PUNCT
cet-12815	137	1	https://doi.org/10.1016/j.chemosphere.2021.129768	https://doi.org/10.1016/j.chemosphere.2021.129768	PROPN
cet-12815	137	2	piccardo	piccardo	PROPN
cet-12815	137	3	m.t	m.t	PROPN
cet-12815	137	4	.	.	PROPN
cet-12815	137	5	,	,	PUNCT
cet-12815	137	6	geretto	geretto	ADJ
cet-12815	137	7	m.	m.	NOUN
cet-12815	137	8	,	,	PUNCT
cet-12815	137	9	pulliero	pulliero	NOUN
cet-12815	137	10	a.	a.	NOUN
cet-12815	137	11	,	,	PUNCT
cet-12815	137	12	izzotti	izzotti	NOUN
cet-12815	137	13	a.	a.	NOUN
cet-12815	137	14	,	,	PUNCT
cet-12815	137	15	2022	2022	NUM
cet-12815	137	16	.	.	PUNCT
cet-12815	138	1	odour	odour	NOUN
cet-12815	138	2	emissions	emission	NOUN
cet-12815	138	3	:	:	PUNCT
cet-12815	138	4	a	a	DET
cet-12815	138	5	public	public	ADJ
cet-12815	138	6	health	health	NOUN
cet-12815	138	7	concern	concern	NOUN
cet-12815	138	8	for	for	ADP
cet-12815	138	9	health	health	NOUN
cet-12815	138	10	risk	risk	NOUN
cet-12815	138	11	perception	perception	NOUN
cet-12815	138	12	.	.	PUNCT
cet-12815	139	1	environmental	environmental	ADJ
cet-12815	139	2	research	research	NOUN
cet-12815	139	3	204	204	NUM
cet-12815	139	4	,	,	PUNCT
cet-12815	139	5	112121	112121	NUM
cet-12815	139	6	.	.	PUNCT
cet-12815	140	1	https://doi.org/https://doi.org/10.1016/j.envres.2021.112121	https://doi.org/https://doi.org/10.1016/j.envres.2021.112121	PROPN
cet-12815	140	2	pomponi	pomponi	PROPN
cet-12815	140	3	j.	j.	PROPN
cet-12815	140	4	,	,	PUNCT
cet-12815	140	5	scardapane	scardapane	PROPN
cet-12815	140	6	s.	s.	PROPN
cet-12815	140	7	,	,	PUNCT
cet-12815	140	8	uncini	uncini	ADJ
cet-12815	140	9	a.	a.	NOUN
cet-12815	140	10	,	,	PUNCT
cet-12815	140	11	2021	2021	NUM
cet-12815	140	12	.	.	PUNCT
cet-12815	141	1	bayesian	bayesian	NOUN
cet-12815	141	2	neural	neural	ADJ
cet-12815	141	3	networks	network	NOUN
cet-12815	141	4	with	with	ADP
cet-12815	141	5	maximum	maximum	ADJ
cet-12815	141	6	mean	mean	NOUN
cet-12815	141	7	discrepancy	discrepancy	NOUN
cet-12815	141	8	regularization	regularization	NOUN
cet-12815	141	9	.	.	PUNCT
cet-12815	142	1	neurocomputing	neurocompute	VERB
cet-12815	142	2	453	453	NUM
cet-12815	142	3	,	,	PUNCT
cet-12815	142	4	428–437	428–437	NUM
cet-12815	142	5	.	.	PUNCT
cet-12815	143	1	https://doi.org/10.1016/j.neucom.2021.01.090	https://doi.org/10.1016/j.neucom.2021.01.090	PROPN
cet-12815	143	2	spinazzè	spinazzè	PROPN
cet-12815	143	3	a.	a.	NOUN
cet-12815	143	4	,	,	PUNCT
cet-12815	143	5	polvara	polvara	PROPN
cet-12815	143	6	e.	e.	PROPN
cet-12815	143	7	,	,	PUNCT
cet-12815	143	8	cattaneo	cattaneo	PROPN
cet-12815	143	9	a.	a.	PROPN
cet-12815	143	10	,	,	PUNCT
cet-12815	143	11	invernizzi	invernizzi	ADJ
cet-12815	143	12	m.	m.	NOUN
cet-12815	143	13	,	,	PUNCT
cet-12815	143	14	cavallo	cavallo	NOUN
cet-12815	143	15	d.m	d.m	PROPN
cet-12815	143	16	.	.	PROPN
cet-12815	143	17	,	,	PUNCT
cet-12815	143	18	sironi	sironi	PROPN
cet-12815	143	19	s.	s.	PROPN
cet-12815	143	20	,	,	PUNCT
cet-12815	143	21	2022	2022	NUM
cet-12815	143	22	.	.	PUNCT
cet-12815	143	23	dynamic	dynamic	ADJ
cet-12815	143	24	olfactometry	olfactometry	NOUN
cet-12815	143	25	and	and	CCONJ
cet-12815	143	26	oil	oil	NOUN
cet-12815	143	27	refinery	refinery	NOUN
cet-12815	143	28	odour	odour	NOUN
cet-12815	143	29	samples	sample	NOUN
cet-12815	143	30	:	:	PUNCT
cet-12815	143	31	application	application	NOUN
cet-12815	143	32	of	of	ADP
cet-12815	143	33	a	a	DET
cet-12815	143	34	new	new	ADJ
cet-12815	143	35	method	method	NOUN
cet-12815	143	36	for	for	ADP
cet-12815	143	37	occupational	occupational	ADJ
cet-12815	143	38	risk	risk	NOUN
cet-12815	143	39	assessment	assessment	NOUN
cet-12815	143	40	.	.	PUNCT
cet-12815	144	1	toxics	toxic	NOUN
cet-12815	144	2	10	10	NUM
cet-12815	144	3	.	.	PUNCT
cet-12815	145	1	https://doi.org/10.3390/toxics10050202	https://doi.org/10.3390/toxics10050202	PROPN
cet-12815	145	2	wang	wang	PROPN
cet-12815	145	3	h.	h.	PROPN
cet-12815	145	4	,	,	PUNCT
cet-12815	145	5	gu	gu	PROPN
cet-12815	145	6	j.	j.	PROPN
cet-12815	145	7	,	,	PUNCT
cet-12815	145	8	wang	wang	PROPN
cet-12815	145	9	s.	s.	PROPN
cet-12815	145	10	,	,	PUNCT
cet-12815	145	11	saporta	saporta	PROPN
cet-12815	145	12	g.	g.	PROPN
cet-12815	145	13	,	,	PUNCT
cet-12815	145	14	2019	2019	NUM
cet-12815	145	15	.	.	PUNCT
cet-12815	146	1	spatial	spatial	ADJ
cet-12815	146	2	partial	partial	ADJ
cet-12815	146	3	least	least	ADJ
cet-12815	146	4	squares	square	NOUN
cet-12815	146	5	autoregression	autoregression	NOUN
cet-12815	146	6	:	:	PUNCT
cet-12815	146	7	algorithm	algorithm	NOUN
cet-12815	146	8	and	and	CCONJ
cet-12815	146	9	applications	application	NOUN
cet-12815	146	10	.	.	PUNCT
cet-12815	147	1	chemometrics	chemometric	NOUN
cet-12815	147	2	and	and	CCONJ
cet-12815	147	3	intelligent	intelligent	ADJ
cet-12815	147	4	laboratory	laboratory	NOUN
cet-12815	147	5	systems	system	NOUN
cet-12815	147	6	.	.	PUNCT
cet-12815	148	1	184	184	NUM
cet-12815	148	2	,	,	PUNCT
cet-12815	148	3	123–131	123–131	NUM
cet-12815	148	4	.	.	PUNCT
cet-12815	149	1	https://doi.org/10.1016/j.chemolab.2018.12.001	https://doi.org/10.1016/j.chemolab.2018.12.001	PROPN
cet-12815	149	2	zarra	zarra	PROPN
cet-12815	149	3	t.	t.	PROPN
cet-12815	149	4	,	,	PUNCT
cet-12815	149	5	galang	galang	PROPN
cet-12815	149	6	m.g	m.g	PROPN
cet-12815	149	7	.	.	PROPN
cet-12815	149	8	,	,	PUNCT
cet-12815	149	9	ballesteros	ballesteros	PROPN
cet-12815	149	10	f.	f.	PROPN
cet-12815	149	11	,	,	PUNCT
cet-12815	149	12	belgiorno	belgiorno	PROPN
cet-12815	149	13	v.	v.	PROPN
cet-12815	149	14	,	,	PUNCT
cet-12815	149	15	naddeo	naddeo	NOUN
cet-12815	149	16	v.	v.	PROPN
cet-12815	149	17	,	,	PUNCT
cet-12815	149	18	2019	2019	NUM
cet-12815	149	19	.	.	PUNCT
cet-12815	150	1	environmental	environmental	ADJ
cet-12815	150	2	odour	odour	NOUN
cet-12815	150	3	management	management	NOUN
cet-12815	150	4	by	by	ADP
cet-12815	150	5	artificial	artificial	ADJ
cet-12815	150	6	neural	neural	ADJ
cet-12815	150	7	network	network	NOUN
cet-12815	150	8	–	–	PUNCT
cet-12815	150	9	a	a	DET
cet-12815	150	10	review	review	NOUN
cet-12815	150	11	.	.	PUNCT
cet-12815	151	1	environ	environ	PROPN
cet-12815	151	2	.	.	PUNCT
cet-12815	152	1	int	int	NOUN
cet-12815	152	2	.	.	PUNCT
cet-12815	153	1	133	133	NUM
cet-12815	153	2	,	,	PUNCT
cet-12815	153	3	105189	105189	NUM
cet-12815	153	4	.	.	PUNCT
cet-12815	154	1	https://doi.org/10.1016/j.envint.2019.105189	https://doi.org/10.1016/j.envint.2019.105189	PROPN
cet-12815	154	2	zarra	zarra	PROPN
cet-12815	154	3	t.	t.	PROPN
cet-12815	154	4	,	,	PUNCT
cet-12815	154	5	galang	galang	PROPN
cet-12815	154	6	m.g.k	m.g.k	PROPN
cet-12815	154	7	.	.	PROPN
cet-12815	154	8	,	,	PUNCT
cet-12815	154	9	ballesteros	ballesteros	PROPN
cet-12815	154	10	f.c	f.c	PROPN
cet-12815	154	11	.	.	PROPN
cet-12815	154	12	,	,	PUNCT
cet-12815	154	13	belgiorno	belgiorno	PROPN
cet-12815	154	14	v.	v.	PROPN
cet-12815	154	15	,	,	PUNCT
cet-12815	154	16	naddeo	naddeo	NOUN
cet-12815	154	17	v.	v.	PROPN
cet-12815	154	18	,	,	PUNCT
cet-12815	154	19	2021a	2021a	NUM
cet-12815	154	20	.	.	PUNCT
cet-12815	155	1	instrumental	instrumental	ADJ
cet-12815	155	2	odour	odour	ADJ
cet-12815	155	3	monitoring	monitoring	NOUN
cet-12815	155	4	system	system	NOUN
cet-12815	155	5	classification	classification	NOUN
cet-12815	155	6	performance	performance	NOUN
cet-12815	155	7	optimization	optimization	NOUN
cet-12815	155	8	by	by	ADP
cet-12815	155	9	analysis	analysis	NOUN
cet-12815	155	10	of	of	ADP
cet-12815	155	11	different	different	ADJ
cet-12815	155	12	pattern	pattern	NOUN
cet-12815	155	13	-	-	PUNCT
cet-12815	155	14	recognition	recognition	NOUN
cet-12815	155	15	and	and	CCONJ
cet-12815	155	16	feature	feature	NOUN
cet-12815	155	17	extraction	extraction	NOUN
cet-12815	155	18	techniques	technique	NOUN
cet-12815	155	19	.	.	PUNCT
cet-12815	156	1	sensors	sensor	NOUN
cet-12815	156	2	(	(	PUNCT
cet-12815	156	3	switzerland	switzerland	PROPN
cet-12815	156	4	)	)	PUNCT
cet-12815	156	5	21	21	NUM
cet-12815	156	6	,	,	PUNCT
cet-12815	156	7	1–16	1–16	PROPN
cet-12815	156	8	.	.	PUNCT
cet-12815	157	1	https://doi.org/10.3390/s21010114	https://doi.org/10.3390/s21010114	NUM
cet-12815	157	2	zarra	zarra	PROPN
cet-12815	157	3	t.	t.	PROPN
cet-12815	157	4	,	,	PUNCT
cet-12815	157	5	galang	galang	PROPN
cet-12815	157	6	m.g.k	m.g.k	PROPN
cet-12815	157	7	.	.	PROPN
cet-12815	157	8	,	,	PUNCT
cet-12815	157	9	belgiorno	belgiorno	PROPN
cet-12815	157	10	v.	v.	PROPN
cet-12815	157	11	,	,	PUNCT
cet-12815	157	12	naddeo	naddeo	NOUN
cet-12815	157	13	v.	v.	ADP
cet-12815	157	14	,	,	PUNCT
cet-12815	157	15	2021b	2021b	NUM
cet-12815	157	16	.	.	PUNCT
cet-12815	158	1	environmental	environmental	ADJ
cet-12815	158	2	odour	odour	NOUN
cet-12815	158	3	quantification	quantification	NOUN
cet-12815	158	4	by	by	ADP
cet-12815	158	5	ioms	iom	NOUN
cet-12815	158	6	:	:	PUNCT
cet-12815	158	7	parametric	parametric	ADJ
cet-12815	158	8	vs.	vs.	ADP
cet-12815	158	9	non	non	ADJ
cet-12815	158	10	-	-	ADJ
cet-12815	158	11	parametric	parametric	ADJ
cet-12815	158	12	prediction	prediction	NOUN
cet-12815	158	13	techniques	technique	NOUN
cet-12815	158	14	.	.	PUNCT
cet-12815	159	1	chemosensors	chemosensor	NOUN
cet-12815	159	2	9	9	NUM
cet-12815	159	3	.	.	PUNCT
cet-12815	160	1	https://doi.org/10.3390/chemosensors9070183	https://doi.org/10.3390/chemosensors9070183	PROPN
cet-12815	160	2	96	96	NUM
cet-12815	160	3	24galang.pdf	24galang.pdf	PROPN
cet-12815	160	4	instrumental	instrumental	ADJ
cet-12815	160	5	odour	odour	NOUN
cet-12815	160	6	monitoring	monitoring	NOUN
cet-12815	160	7	system	system	NOUN
cet-12815	160	8	application	application	NOUN
cet-12815	160	9	in	in	ADP
cet-12815	160	10	complex	complex	ADJ
cet-12815	160	11	refinery	refinery	NOUN
cet-12815	160	12	plant	plant	NOUN
cet-12815	160	13	:	:	PUNCT
cet-12815	160	14	comparison	comparison	NOUN
cet-12815	160	15	of	of	ADP
cet-12815	160	16	different	different	ADJ
cet-12815	160	17	pattern	pattern	NOUN
cet-12815	160	18	recognition	recognition	NOUN
cet-12815	160	19	algorithms	algorithm	NOUN
cet-12815	160	20	and	and	CCONJ
cet-12815	160	21	data	datum	NOUN
cet-12815	160	22	features	feature	VERB