id	sid	tid	token	lemma	pos
fcis-29385	1	1	frontiers	frontier	NOUN
fcis-29385	1	2	in	in	ADP
fcis-29385	1	3	computing	computing	NOUN
fcis-29385	1	4	and	and	CCONJ
fcis-29385	1	5	intelligent	intelligent	ADJ
fcis-29385	1	6	systems	system	NOUN
fcis-29385	1	7	issn	issn	VERB
fcis-29385	1	8	:	:	PUNCT
fcis-29385	1	9	2832	2832	NUM
fcis-29385	1	10	-	-	SYM
fcis-29385	1	11	6024	6024	NUM
fcis-29385	1	12	|	|	NOUN
fcis-29385	1	13	vol	vol	NOUN
fcis-29385	1	14	.	.	PROPN
fcis-29385	2	1	11	11	NUM
fcis-29385	2	2	,	,	PUNCT
fcis-29385	2	3	no	no	INTJ
fcis-29385	2	4	.	.	NOUN
fcis-29385	2	5	1	1	NUM
fcis-29385	2	6	,	,	PUNCT
fcis-29385	2	7	2025	2025	NUM
fcis-29385	2	8	89	89	NUM
fcis-29385	2	9	rapid	rapid	ADJ
fcis-29385	2	10	textile	textile	NOUN
fcis-29385	2	11	fibers	fiber	NOUN
fcis-29385	2	12	classification	classification	NOUN
fcis-29385	2	13	technology	technology	NOUN
fcis-29385	2	14	based	base	VERB
fcis-29385	2	15	on	on	ADP
fcis-29385	2	16	near‐infrared	near‐infrare	VERB
fcis-29385	2	17	spectroscopy	spectroscopy	NOUN
fcis-29385	2	18	and	and	CCONJ
fcis-29385	2	19	machine	machine	NOUN
fcis-29385	2	20	learning	learn	VERB
fcis-29385	2	21	xingyan	xingyan	PROPN
fcis-29385	2	22	ruan	ruan	PROPN
fcis-29385	2	23	1	1	NUM
fcis-29385	2	24	,	,	PUNCT
fcis-29385	2	25	li	li	PROPN
fcis-29385	2	26	luo	luo	PROPN
fcis-29385	2	27	1	1	NUM
fcis-29385	2	28	,	,	PUNCT
fcis-29385	2	29	*	*	PROPN
fcis-29385	2	30	,	,	PUNCT
fcis-29385	2	31	xiangyang	xiangyang	PROPN
fcis-29385	2	32	yu	yu	PROPN
fcis-29385	2	33	2	2	NUM
fcis-29385	2	34	,	,	PUNCT
fcis-29385	2	35	yefan	yefan	X
fcis-29385	2	36	cai	cai	X
fcis-29385	2	37	3	3	NUM
fcis-29385	2	38	,	,	PUNCT
fcis-29385	2	39	weibin	weibin	X
fcis-29385	2	40	hong	hong	PROPN
fcis-29385	2	41	3	3	NUM
fcis-29385	2	42	1	1	NUM
fcis-29385	2	43	school	school	NOUN
fcis-29385	2	44	of	of	ADP
fcis-29385	2	45	physics	physics	NOUN
fcis-29385	2	46	and	and	CCONJ
fcis-29385	2	47	optoelectronic	optoelectronic	ADJ
fcis-29385	2	48	engineering	engineering	NOUN
fcis-29385	2	49	,	,	PUNCT
fcis-29385	2	50	guangdong	guangdong	PROPN
fcis-29385	2	51	university	university	PROPN
fcis-29385	2	52	of	of	ADP
fcis-29385	2	53	technology	technology	PROPN
fcis-29385	2	54	,	,	PUNCT
fcis-29385	2	55	guangzhou	guangzhou	PROPN
fcis-29385	2	56	,	,	PUNCT
fcis-29385	2	57	guangdong	guangdong	PROPN
fcis-29385	2	58	,	,	PUNCT
fcis-29385	2	59	510006	510006	NUM
fcis-29385	2	60	,	,	PUNCT
fcis-29385	2	61	china	china	PROPN
fcis-29385	2	62	2	2	NUM
fcis-29385	2	63	school	school	NOUN
fcis-29385	2	64	of	of	ADP
fcis-29385	2	65	physics	physics	PROPN
fcis-29385	2	66	,	,	PUNCT
fcis-29385	2	67	state	state	NOUN
fcis-29385	2	68	key	key	ADJ
fcis-29385	2	69	laboratory	laboratory	NOUN
fcis-29385	2	70	of	of	ADP
fcis-29385	2	71	optoelectronic	optoelectronic	ADJ
fcis-29385	2	72	materials	material	NOUN
fcis-29385	2	73	and	and	CCONJ
fcis-29385	2	74	technology	technology	NOUN
fcis-29385	2	75	,	,	PUNCT
fcis-29385	2	76	sun	sun	PROPN
fcis-29385	2	77	yat	yat	PROPN
fcis-29385	2	78	-	-	PUNCT
fcis-29385	2	79	sen	sen	PROPN
fcis-29385	2	80	university	university	PROPN
fcis-29385	2	81	,	,	PUNCT
fcis-29385	2	82	guangzhou	guangzhou	PROPN
fcis-29385	2	83	,	,	PUNCT
fcis-29385	2	84	guangdong	guangdong	PROPN
fcis-29385	2	85	,	,	PUNCT
fcis-29385	2	86	510275	510275	NUM
fcis-29385	2	87	,	,	PUNCT
fcis-29385	2	88	china	china	PROPN
fcis-29385	2	89	3	3	NUM
fcis-29385	2	90	guangzhou	guangzhou	PROPN
fcis-29385	2	91	guangxin	guangxin	PROPN
fcis-29385	2	92	technology	technology	PROPN
fcis-29385	2	93	co.	co.	PROPN
fcis-29385	2	94	,	,	PUNCT
fcis-29385	2	95	ltd	ltd	PROPN
fcis-29385	2	96	.	.	PROPN
fcis-29385	2	97	,	,	PUNCT
fcis-29385	2	98	guangzhou	guangzhou	PROPN
fcis-29385	2	99	,	,	PUNCT
fcis-29385	2	100	guangdong	guangdong	PROPN
fcis-29385	2	101	,	,	PUNCT
fcis-29385	2	102	510300	510300	NUM
fcis-29385	2	103	,	,	PUNCT
fcis-29385	2	104	china	china	PROPN
fcis-29385	2	105	*	*	PUNCT
fcis-29385	2	106	corresponding	correspond	VERB
fcis-29385	2	107	author	author	NOUN
fcis-29385	2	108	:	:	PUNCT
fcis-29385	2	109	li	li	PROPN
fcis-29385	2	110	luo	luo	PROPN
fcis-29385	2	111	abstract	abstract	PROPN
fcis-29385	2	112	:	:	PUNCT
fcis-29385	2	113	the	the	DET
fcis-29385	2	114	accurate	accurate	ADJ
fcis-29385	2	115	identification	identification	NOUN
fcis-29385	2	116	of	of	ADP
fcis-29385	2	117	textile	textile	NOUN
fcis-29385	2	118	materials	material	NOUN
fcis-29385	2	119	plays	play	VERB
fcis-29385	2	120	a	a	DET
fcis-29385	2	121	crucial	crucial	ADJ
fcis-29385	2	122	role	role	NOUN
fcis-29385	2	123	in	in	ADP
fcis-29385	2	124	production	production	NOUN
fcis-29385	2	125	control	control	NOUN
fcis-29385	2	126	,	,	PUNCT
fcis-29385	2	127	quality	quality	NOUN
fcis-29385	2	128	inspection	inspection	NOUN
fcis-29385	2	129	,	,	PUNCT
fcis-29385	2	130	and	and	CCONJ
fcis-29385	2	131	market	market	NOUN
fcis-29385	2	132	regulation	regulation	NOUN
fcis-29385	2	133	.	.	PUNCT
fcis-29385	3	1	in	in	ADP
fcis-29385	3	2	recent	recent	ADJ
fcis-29385	3	3	years	year	NOUN
fcis-29385	3	4	,	,	PUNCT
fcis-29385	3	5	near	near	ADV
fcis-29385	3	6	-	-	PUNCT
fcis-29385	3	7	infrared	infrared	ADJ
fcis-29385	3	8	(	(	PUNCT
fcis-29385	3	9	nir	nir	NOUN
fcis-29385	3	10	)	)	PUNCT
fcis-29385	3	11	spectroscopy	spectroscopy	NOUN
fcis-29385	3	12	has	have	AUX
fcis-29385	3	13	been	be	AUX
fcis-29385	3	14	widely	widely	ADV
fcis-29385	3	15	applied	apply	VERB
fcis-29385	3	16	in	in	ADP
fcis-29385	3	17	the	the	DET
fcis-29385	3	18	identification	identification	NOUN
fcis-29385	3	19	and	and	CCONJ
fcis-29385	3	20	classification	classification	NOUN
fcis-29385	3	21	of	of	ADP
fcis-29385	3	22	textile	textile	NOUN
fcis-29385	3	23	fibers	fiber	NOUN
fcis-29385	3	24	due	due	ADP
fcis-29385	3	25	to	to	ADP
fcis-29385	3	26	its	its	PRON
fcis-29385	3	27	rapid	rapid	ADJ
fcis-29385	3	28	,	,	PUNCT
fcis-29385	3	29	non	non	ADJ
fcis-29385	3	30	-	-	ADJ
fcis-29385	3	31	destructive	destructive	ADJ
fcis-29385	3	32	,	,	PUNCT
fcis-29385	3	33	and	and	CCONJ
fcis-29385	3	34	efficient	efficient	ADJ
fcis-29385	3	35	characteristics	characteristic	NOUN
fcis-29385	3	36	.	.	PUNCT
fcis-29385	4	1	therefore	therefore	ADV
fcis-29385	4	2	,	,	PUNCT
fcis-29385	4	3	this	this	DET
fcis-29385	4	4	study	study	NOUN
fcis-29385	4	5	utilizes	utilize	VERB
fcis-29385	4	6	a	a	DET
fcis-29385	4	7	handheld	handheld	ADJ
fcis-29385	4	8	near	near	ADV
fcis-29385	4	9	-	-	PUNCT
fcis-29385	4	10	infrared	infrared	ADJ
fcis-29385	4	11	spectrometer	spectrometer	NOUN
fcis-29385	4	12	and	and	CCONJ
fcis-29385	4	13	chemometrics	chemometric	NOUN
fcis-29385	4	14	to	to	PART
fcis-29385	4	15	provide	provide	VERB
fcis-29385	4	16	a	a	DET
fcis-29385	4	17	convenient	convenient	ADJ
fcis-29385	4	18	,	,	PUNCT
fcis-29385	4	19	efficient	efficient	ADJ
fcis-29385	4	20	,	,	PUNCT
fcis-29385	4	21	non	non	ADJ
fcis-29385	4	22	-	-	ADJ
fcis-29385	4	23	destructive	destructive	ADJ
fcis-29385	4	24	,	,	PUNCT
fcis-29385	4	25	and	and	CCONJ
fcis-29385	4	26	green	green	ADJ
fcis-29385	4	27	analytical	analytical	ADJ
fcis-29385	4	28	method	method	NOUN
fcis-29385	4	29	for	for	ADP
fcis-29385	4	30	the	the	DET
fcis-29385	4	31	qualitative	qualitative	ADJ
fcis-29385	4	32	analysis	analysis	NOUN
fcis-29385	4	33	of	of	ADP
fcis-29385	4	34	textiles	textile	NOUN
fcis-29385	4	35	.	.	PUNCT
fcis-29385	5	1	the	the	DET
fcis-29385	5	2	article	article	NOUN
fcis-29385	5	3	collects	collect	VERB
fcis-29385	5	4	spectral	spectral	ADJ
fcis-29385	5	5	data	datum	NOUN
fcis-29385	5	6	of	of	ADP
fcis-29385	5	7	fiber	fiber	NOUN
fcis-29385	5	8	samples	sample	NOUN
fcis-29385	5	9	using	use	VERB
fcis-29385	5	10	a	a	DET
fcis-29385	5	11	handheld	handheld	ADJ
fcis-29385	5	12	nir	nir	ADJ
fcis-29385	5	13	spectrometer	spectrometer	NOUN
fcis-29385	5	14	and	and	CCONJ
fcis-29385	5	15	analyzes	analyze	VERB
fcis-29385	5	16	them	they	PRON
fcis-29385	5	17	with	with	ADP
fcis-29385	5	18	chemometric	chemometric	ADJ
fcis-29385	5	19	methods	method	NOUN
fcis-29385	5	20	.	.	PUNCT
fcis-29385	6	1	data	datum	NOUN
fcis-29385	6	2	preprocessing	preprocesse	VERB
fcis-29385	6	3	techniques	technique	NOUN
fcis-29385	6	4	,	,	PUNCT
fcis-29385	6	5	feature	feature	NOUN
fcis-29385	6	6	extraction	extraction	NOUN
fcis-29385	6	7	algorithms	algorithm	NOUN
fcis-29385	6	8	,	,	PUNCT
fcis-29385	6	9	comprehensive	comprehensive	ADJ
fcis-29385	6	10	sampling	sampling	NOUN
fcis-29385	6	11	methods	method	NOUN
fcis-29385	6	12	,	,	PUNCT
fcis-29385	6	13	and	and	CCONJ
fcis-29385	6	14	classification	classification	NOUN
fcis-29385	6	15	algorithms	algorithm	NOUN
fcis-29385	6	16	are	be	AUX
fcis-29385	6	17	employed	employ	VERB
fcis-29385	6	18	to	to	PART
fcis-29385	6	19	establish	establish	VERB
fcis-29385	6	20	classification	classification	NOUN
fcis-29385	6	21	models	model	NOUN
fcis-29385	6	22	.	.	PUNCT
fcis-29385	7	1	after	after	ADP
fcis-29385	7	2	ten	ten	ADJ
fcis-29385	7	3	-	-	ADJ
fcis-29385	7	4	fold	fold	ADJ
fcis-29385	7	5	cross	cross	NOUN
fcis-29385	7	6	-	-	NOUN
fcis-29385	7	7	validation	validation	NOUN
fcis-29385	7	8	,	,	PUNCT
fcis-29385	7	9	the	the	DET
fcis-29385	7	10	optimal	optimal	ADJ
fcis-29385	7	11	sg_rf	sg_rf	NOUN
fcis-29385	7	12	model	model	NOUN
fcis-29385	7	13	is	be	AUX
fcis-29385	7	14	obtained	obtain	VERB
fcis-29385	7	15	,	,	PUNCT
fcis-29385	7	16	with	with	ADP
fcis-29385	7	17	a	a	DET
fcis-29385	7	18	classification	classification	NOUN
fcis-29385	7	19	accuracy	accuracy	NOUN
fcis-29385	7	20	of	of	ADP
fcis-29385	7	21	93.7	93.7	NUM
fcis-29385	7	22	%	%	NOUN
fcis-29385	7	23	on	on	ADP
fcis-29385	7	24	the	the	DET
fcis-29385	7	25	test	test	NOUN
fcis-29385	7	26	set	set	VERB
fcis-29385	7	27	and	and	CCONJ
fcis-29385	7	28	an	an	DET
fcis-29385	7	29	auc_macro	auc_macro	NOUN
fcis-29385	7	30	of	of	ADP
fcis-29385	7	31	0.928	0.928	NUM
fcis-29385	7	32	,	,	PUNCT
fcis-29385	7	33	demonstrating	demonstrate	VERB
fcis-29385	7	34	excellent	excellent	ADJ
fcis-29385	7	35	performance	performance	NOUN
fcis-29385	7	36	.	.	PUNCT
fcis-29385	8	1	the	the	DET
fcis-29385	8	2	article	article	NOUN
fcis-29385	8	3	validates	validate	VERB
fcis-29385	8	4	the	the	DET
fcis-29385	8	5	feasibility	feasibility	NOUN
fcis-29385	8	6	of	of	ADP
fcis-29385	8	7	using	use	VERB
fcis-29385	8	8	near	near	ADV
fcis-29385	8	9	-	-	PUNCT
fcis-29385	8	10	infrared	infrared	ADJ
fcis-29385	8	11	spectroscopy	spectroscopy	NOUN
fcis-29385	8	12	combined	combine	VERB
fcis-29385	8	13	with	with	ADP
fcis-29385	8	14	chemometric	chemometric	ADJ
fcis-29385	8	15	methods	method	NOUN
fcis-29385	8	16	for	for	ADP
fcis-29385	8	17	textile	textile	NOUN
fcis-29385	8	18	fiber	fiber	NOUN
fcis-29385	8	19	classification	classification	NOUN
fcis-29385	8	20	,	,	PUNCT
fcis-29385	8	21	offering	offer	VERB
fcis-29385	8	22	a	a	DET
fcis-29385	8	23	rapid	rapid	ADJ
fcis-29385	8	24	,	,	PUNCT
fcis-29385	8	25	non	non	ADJ
fcis-29385	8	26	-	-	ADJ
fcis-29385	8	27	destructive	destructive	ADJ
fcis-29385	8	28	,	,	PUNCT
fcis-29385	8	29	and	and	CCONJ
fcis-29385	8	30	efficient	efficient	ADJ
fcis-29385	8	31	approach	approach	NOUN
fcis-29385	8	32	for	for	ADP
fcis-29385	8	33	textile	textile	NOUN
fcis-29385	8	34	fiber	fiber	NOUN
fcis-29385	8	35	classification	classification	NOUN
fcis-29385	8	36	.	.	PUNCT
fcis-29385	9	1	keywords	keyword	NOUN
fcis-29385	9	2	:	:	PUNCT
fcis-29385	9	3	near	near	ADV
fcis-29385	9	4	-	-	PUNCT
fcis-29385	9	5	infrared	infrared	ADJ
fcis-29385	9	6	spectroscopy	spectroscopy	NOUN
fcis-29385	9	7	;	;	PUNCT
fcis-29385	9	8	machine	machine	NOUN
fcis-29385	9	9	learning	learning	NOUN
fcis-29385	9	10	;	;	PUNCT
fcis-29385	9	11	fiber	fiber	NOUN
fcis-29385	9	12	classification	classification	NOUN
fcis-29385	9	13	;	;	PUNCT
fcis-29385	9	14	accuracy	accuracy	NOUN
fcis-29385	9	15	;	;	PUNCT
fcis-29385	9	16	auc_macro	auc_macro	X
fcis-29385	9	17	.	.	NOUN
fcis-29385	9	18	1	1	NUM
fcis-29385	9	19	.	.	X
fcis-29385	9	20	introduction	introduction	NOUN
fcis-29385	9	21	the	the	DET
fcis-29385	9	22	accurate	accurate	ADJ
fcis-29385	9	23	identification	identification	NOUN
fcis-29385	9	24	of	of	ADP
fcis-29385	9	25	textile	textile	NOUN
fcis-29385	9	26	materials	material	NOUN
fcis-29385	9	27	is	be	AUX
fcis-29385	9	28	a	a	DET
fcis-29385	9	29	key	key	ADJ
fcis-29385	9	30	process	process	NOUN
fcis-29385	9	31	in	in	ADP
fcis-29385	9	32	production	production	NOUN
fcis-29385	9	33	control	control	NOUN
fcis-29385	9	34	,	,	PUNCT
fcis-29385	9	35	quality	quality	NOUN
fcis-29385	9	36	inspection	inspection	NOUN
fcis-29385	9	37	,	,	PUNCT
fcis-29385	9	38	and	and	CCONJ
fcis-29385	9	39	market	market	NOUN
fcis-29385	9	40	regulation	regulation	NOUN
fcis-29385	9	41	within	within	ADP
fcis-29385	9	42	the	the	DET
fcis-29385	9	43	textile	textile	NOUN
fcis-29385	9	44	industry	industry	NOUN
fcis-29385	9	45	.	.	PUNCT
fcis-29385	10	1	it	it	PRON
fcis-29385	10	2	plays	play	VERB
fcis-29385	10	3	a	a	DET
fcis-29385	10	4	significant	significant	ADJ
fcis-29385	10	5	role	role	NOUN
fcis-29385	10	6	in	in	ADP
fcis-29385	10	7	improving	improve	VERB
fcis-29385	10	8	product	product	NOUN
fcis-29385	10	9	performance	performance	NOUN
fcis-29385	10	10	,	,	PUNCT
fcis-29385	10	11	standardizing	standardize	VERB
fcis-29385	10	12	market	market	NOUN
fcis-29385	10	13	order	order	NOUN
fcis-29385	10	14	,	,	PUNCT
fcis-29385	10	15	and	and	CCONJ
fcis-29385	10	16	protecting	protect	VERB
fcis-29385	10	17	consumer	consumer	NOUN
fcis-29385	10	18	rights	right	NOUN
fcis-29385	10	19	.	.	PUNCT
fcis-29385	11	1	the	the	DET
fcis-29385	11	2	material	material	NOUN
fcis-29385	11	3	of	of	ADP
fcis-29385	11	4	textiles	textile	NOUN
fcis-29385	11	5	directly	directly	ADV
fcis-29385	11	6	influences	influence	VERB
fcis-29385	11	7	their	their	PRON
fcis-29385	11	8	physical	physical	ADJ
fcis-29385	11	9	properties	property	NOUN
fcis-29385	11	10	,	,	PUNCT
fcis-29385	11	11	processing	processing	NOUN
fcis-29385	11	12	methods	method	NOUN
fcis-29385	11	13	,	,	PUNCT
fcis-29385	11	14	and	and	CCONJ
fcis-29385	11	15	market	market	NOUN
fcis-29385	11	16	value	value	NOUN
fcis-29385	11	17	,	,	PUNCT
fcis-29385	11	18	thus	thus	ADV
fcis-29385	11	19	there	there	PRON
fcis-29385	11	20	is	be	VERB
fcis-29385	11	21	a	a	DET
fcis-29385	11	22	broad	broad	ADJ
fcis-29385	11	23	demand	demand	NOUN
fcis-29385	11	24	for	for	ADP
fcis-29385	11	25	the	the	DET
fcis-29385	11	26	rapid	rapid	ADJ
fcis-29385	11	27	and	and	CCONJ
fcis-29385	11	28	accurate	accurate	ADJ
fcis-29385	11	29	identification	identification	NOUN
fcis-29385	11	30	of	of	ADP
fcis-29385	11	31	fiber	fiber	NOUN
fcis-29385	11	32	types	type	NOUN
fcis-29385	11	33	and	and	CCONJ
fcis-29385	11	34	compositions	composition	NOUN
fcis-29385	11	35	.	.	PUNCT
fcis-29385	12	1	traditional	traditional	ADJ
fcis-29385	12	2	fiber	fiber	NOUN
fcis-29385	12	3	identification	identification	NOUN
fcis-29385	12	4	methods	method	NOUN
fcis-29385	12	5	,	,	PUNCT
fcis-29385	12	6	such	such	ADJ
fcis-29385	12	7	as	as	ADP
fcis-29385	12	8	microscopic	microscopic	ADJ
fcis-29385	12	9	observation	observation	NOUN
fcis-29385	12	10	,	,	PUNCT
fcis-29385	12	11	combustion	combustion	NOUN
fcis-29385	12	12	,	,	PUNCT
fcis-29385	12	13	and	and	CCONJ
fcis-29385	12	14	chemical	chemical	ADJ
fcis-29385	12	15	dissolution	dissolution	NOUN
fcis-29385	12	16	methods[1	methods[1	X
fcis-29385	12	17	]	]	X
fcis-29385	12	18	,	,	PUNCT
fcis-29385	12	19	although	although	SCONJ
fcis-29385	12	20	offering	offer	VERB
fcis-29385	12	21	certain	certain	ADJ
fcis-29385	12	22	advantages	advantage	NOUN
fcis-29385	12	23	in	in	ADP
fcis-29385	12	24	terms	term	NOUN
fcis-29385	12	25	of	of	ADP
fcis-29385	12	26	accuracy	accuracy	NOUN
fcis-29385	12	27	,	,	PUNCT
fcis-29385	12	28	are	be	AUX
fcis-29385	12	29	complex	complex	ADJ
fcis-29385	12	30	to	to	PART
fcis-29385	12	31	operate	operate	VERB
fcis-29385	12	32	,	,	PUNCT
fcis-29385	12	33	time	time	NOUN
fcis-29385	12	34	-	-	PUNCT
fcis-29385	12	35	consuming	consume	VERB
fcis-29385	12	36	,	,	PUNCT
fcis-29385	12	37	and	and	CCONJ
fcis-29385	12	38	often	often	ADV
fcis-29385	12	39	involve	involve	VERB
fcis-29385	12	40	destructive	destructive	ADJ
fcis-29385	12	41	testing	testing	NOUN
fcis-29385	12	42	or	or	CCONJ
fcis-29385	12	43	the	the	DET
fcis-29385	12	44	use	use	NOUN
fcis-29385	12	45	of	of	ADP
fcis-29385	12	46	chemical	chemical	ADJ
fcis-29385	12	47	reagents	reagent	NOUN
fcis-29385	12	48	.	.	PUNCT
fcis-29385	13	1	these	these	DET
fcis-29385	13	2	drawbacks	drawback	NOUN
fcis-29385	13	3	hinder	hinder	VERB
fcis-29385	13	4	large	large	ADJ
fcis-29385	13	5	-	-	PUNCT
fcis-29385	13	6	scale	scale	NOUN
fcis-29385	13	7	testing	testing	NOUN
fcis-29385	13	8	and	and	CCONJ
fcis-29385	13	9	are	be	AUX
fcis-29385	13	10	not	not	PART
fcis-29385	13	11	in	in	ADP
fcis-29385	13	12	line	line	NOUN
fcis-29385	13	13	with	with	ADP
fcis-29385	13	14	environmental	environmental	ADJ
fcis-29385	13	15	protection	protection	NOUN
fcis-29385	13	16	requirements	requirement	NOUN
fcis-29385	13	17	.	.	PUNCT
fcis-29385	14	1	near	near	ADV
fcis-29385	14	2	-	-	PUNCT
fcis-29385	14	3	infrared	infrared	ADJ
fcis-29385	14	4	spectroscopy	spectroscopy	NOUN
fcis-29385	14	5	(	(	PUNCT
fcis-29385	14	6	nir	nir	NOUN
fcis-29385	14	7	)	)	PUNCT
fcis-29385	14	8	provides	provide	VERB
fcis-29385	14	9	an	an	DET
fcis-29385	14	10	innovative	innovative	ADJ
fcis-29385	14	11	solution	solution	NOUN
fcis-29385	14	12	for	for	ADP
fcis-29385	14	13	the	the	DET
fcis-29385	14	14	identification	identification	NOUN
fcis-29385	14	15	of	of	ADP
fcis-29385	14	16	textile	textile	NOUN
fcis-29385	14	17	materials	material	NOUN
fcis-29385	14	18	due	due	ADP
fcis-29385	14	19	to	to	ADP
fcis-29385	14	20	its	its	PRON
fcis-29385	14	21	rapid	rapid	ADJ
fcis-29385	14	22	,	,	PUNCT
fcis-29385	14	23	non	non	ADJ
fcis-29385	14	24	-	-	ADJ
fcis-29385	14	25	destructive	destructive	ADJ
fcis-29385	14	26	,	,	PUNCT
fcis-29385	14	27	and	and	CCONJ
fcis-29385	14	28	efficient	efficient	ADJ
fcis-29385	14	29	characteristics	characteristic	NOUN
fcis-29385	14	30	.	.	PUNCT
fcis-29385	15	1	in	in	ADP
fcis-29385	15	2	2009	2009	NUM
fcis-29385	15	3	,	,	PUNCT
fcis-29385	15	4	jinzhou	jinzhou	PROPN
fcis-29385	15	5	cai[2	cai[2	NOUN
fcis-29385	15	6	]	]	PUNCT
fcis-29385	15	7	used	use	VERB
fcis-29385	15	8	nir	nir	ADJ
fcis-29385	15	9	spectroscopy	spectroscopy	NOUN
fcis-29385	15	10	to	to	PART
fcis-29385	15	11	perform	perform	VERB
fcis-29385	15	12	qualitative	qualitative	ADJ
fcis-29385	15	13	clustering	cluster	VERB
fcis-29385	15	14	analysis	analysis	NOUN
fcis-29385	15	15	of	of	ADP
fcis-29385	15	16	75	75	NUM
fcis-29385	15	17	samples	sample	NOUN
fcis-29385	15	18	,	,	PUNCT
fcis-29385	15	19	including	include	VERB
fcis-29385	15	20	pure	pure	ADJ
fcis-29385	15	21	cotton	cotton	NOUN
fcis-29385	15	22	,	,	PUNCT
fcis-29385	15	23	pure	pure	ADJ
fcis-29385	15	24	polyester	polyester	NOUN
fcis-29385	15	25	,	,	PUNCT
fcis-29385	15	26	cotton	cotton	NOUN
fcis-29385	15	27	/	/	SYM
fcis-29385	15	28	polyester	polyester	NOUN
fcis-29385	15	29	,	,	PUNCT
fcis-29385	15	30	and	and	CCONJ
fcis-29385	15	31	cotton	cotton	NOUN
fcis-29385	15	32	/	/	SYM
fcis-29385	15	33	nylon	nylon	NOUN
fcis-29385	15	34	blends	blend	NOUN
fcis-29385	15	35	.	.	PUNCT
fcis-29385	16	1	principal	principal	ADJ
fcis-29385	16	2	component	component	NOUN
fcis-29385	16	3	analysis	analysis	NOUN
fcis-29385	16	4	(	(	PUNCT
fcis-29385	16	5	pca	pca	NOUN
fcis-29385	16	6	)	)	PUNCT
fcis-29385	16	7	was	be	AUX
fcis-29385	16	8	applied	apply	VERB
fcis-29385	16	9	to	to	PART
fcis-29385	16	10	extract	extract	VERB
fcis-29385	16	11	characteristic	characteristic	ADJ
fcis-29385	16	12	spectra	spectra	NOUN
fcis-29385	16	13	,	,	PUNCT
fcis-29385	16	14	and	and	CCONJ
fcis-29385	16	15	mahalanobis	mahalanobis	ADJ
fcis-29385	16	16	distance	distance	NOUN
fcis-29385	16	17	was	be	AUX
fcis-29385	16	18	used	use	VERB
fcis-29385	16	19	for	for	ADP
fcis-29385	16	20	clustering	cluster	VERB
fcis-29385	16	21	analysis	analysis	NOUN
fcis-29385	16	22	,	,	PUNCT
fcis-29385	16	23	yielding	yield	VERB
fcis-29385	16	24	excellent	excellent	ADJ
fcis-29385	16	25	classification	classification	NOUN
fcis-29385	16	26	results	result	NOUN
fcis-29385	16	27	.	.	PUNCT
fcis-29385	17	1	this	this	DET
fcis-29385	17	2	study	study	NOUN
fcis-29385	17	3	verified	verify	VERB
fcis-29385	17	4	the	the	DET
fcis-29385	17	5	feasibility	feasibility	NOUN
fcis-29385	17	6	of	of	ADP
fcis-29385	17	7	using	use	VERB
fcis-29385	17	8	nir	nir	ADJ
fcis-29385	17	9	spectroscopy	spectroscopy	NOUN
fcis-29385	17	10	for	for	ADP
fcis-29385	17	11	qualitative	qualitative	ADJ
fcis-29385	17	12	analysis	analysis	NOUN
fcis-29385	17	13	of	of	ADP
fcis-29385	17	14	textiles	textile	NOUN
fcis-29385	17	15	.	.	PUNCT
fcis-29385	18	1	in	in	ADP
fcis-29385	18	2	the	the	DET
fcis-29385	18	3	same	same	ADJ
fcis-29385	18	4	year	year	NOUN
fcis-29385	18	5	,	,	PUNCT
fcis-29385	18	6	danhong	danhong	ADP
fcis-29385	18	7	wang[3	wang[3	PROPN
fcis-29385	18	8	]	]	PUNCT
fcis-29385	18	9	employed	employ	VERB
fcis-29385	18	10	discriminant	discriminant	ADJ
fcis-29385	18	11	analysis	analysis	NOUN
fcis-29385	18	12	,	,	PUNCT
fcis-29385	18	13	pca	pca	NOUN
fcis-29385	18	14	,	,	PUNCT
fcis-29385	18	15	and	and	CCONJ
fcis-29385	18	16	mahalanobis	mahalanobis	ADJ
fcis-29385	18	17	distance	distance	NOUN
fcis-29385	18	18	to	to	PART
fcis-29385	18	19	rapidly	rapidly	ADV
fcis-29385	18	20	identify	identify	VERB
fcis-29385	18	21	fibers	fiber	NOUN
fcis-29385	18	22	such	such	ADJ
fcis-29385	18	23	as	as	ADP
fcis-29385	18	24	tencel	tencel	NOUN
fcis-29385	18	25	,	,	PUNCT
fcis-29385	18	26	cotton	cotton	NOUN
fcis-29385	18	27	,	,	PUNCT
fcis-29385	18	28	viscose	viscose	NOUN
fcis-29385	18	29	,	,	PUNCT
fcis-29385	18	30	and	and	CCONJ
fcis-29385	18	31	copper	copper	NOUN
fcis-29385	18	32	-	-	NOUN
fcis-29385	18	33	ammonium	ammonium	NOUN
fcis-29385	18	34	.	.	PUNCT
fcis-29385	19	1	the	the	DET
fcis-29385	19	2	results	result	NOUN
fcis-29385	19	3	demonstrated	demonstrate	VERB
fcis-29385	19	4	that	that	SCONJ
fcis-29385	19	5	this	this	DET
fcis-29385	19	6	method	method	NOUN
fcis-29385	19	7	provided	provide	VERB
fcis-29385	19	8	a	a	DET
fcis-29385	19	9	reliable	reliable	ADJ
fcis-29385	19	10	and	and	CCONJ
fcis-29385	19	11	simple	simple	ADJ
fcis-29385	19	12	means	mean	NOUN
fcis-29385	19	13	for	for	ADP
fcis-29385	19	14	classifying	classify	VERB
fcis-29385	19	15	these	these	DET
fcis-29385	19	16	fibers	fiber	NOUN
fcis-29385	19	17	.	.	PUNCT
fcis-29385	20	1	in	in	ADP
fcis-29385	20	2	2016	2016	NUM
fcis-29385	20	3	,	,	PUNCT
fcis-29385	20	4	jianhua	jianhua	PROPN
fcis-29385	20	5	fu[4	fu[4	PROPN
fcis-29385	20	6	]	]	PUNCT
fcis-29385	20	7	analyzed	analyze	VERB
fcis-29385	20	8	892	892	NUM
fcis-29385	20	9	samples	sample	NOUN
fcis-29385	20	10	,	,	PUNCT
fcis-29385	20	11	including	include	VERB
fcis-29385	20	12	polyester	polyester	NOUN
fcis-29385	20	13	,	,	PUNCT
fcis-29385	20	14	linen	linen	NOUN
fcis-29385	20	15	,	,	PUNCT
fcis-29385	20	16	cotton	cotton	NOUN
fcis-29385	20	17	,	,	PUNCT
fcis-29385	20	18	silk	silk	NOUN
fcis-29385	20	19	,	,	PUNCT
fcis-29385	20	20	wool	wool	NOUN
fcis-29385	20	21	,	,	PUNCT
fcis-29385	20	22	polyester	polyester	NOUN
fcis-29385	20	23	-	-	PUNCT
fcis-29385	20	24	cotton	cotton	NOUN
fcis-29385	20	25	blends	blend	NOUN
fcis-29385	20	26	,	,	PUNCT
fcis-29385	20	27	and	and	CCONJ
fcis-29385	20	28	polyester	polyester	NOUN
fcis-29385	20	29	-	-	PUNCT
fcis-29385	20	30	wool	wool	NOUN
fcis-29385	20	31	blends	blend	NOUN
fcis-29385	20	32	,	,	PUNCT
fcis-29385	20	33	and	and	CCONJ
fcis-29385	20	34	explored	explore	VERB
fcis-29385	20	35	the	the	DET
fcis-29385	20	36	application	application	NOUN
fcis-29385	20	37	of	of	ADP
fcis-29385	20	38	short	short	ADJ
fcis-29385	20	39	-	-	PUNCT
fcis-29385	20	40	wave	wave	NOUN
fcis-29385	20	41	and	and	CCONJ
fcis-29385	20	42	medium	medium	ADJ
fcis-29385	20	43	-	-	PUNCT
fcis-29385	20	44	wave	wave	NOUN
fcis-29385	20	45	nir	nir	ADJ
fcis-29385	20	46	spectroscopy	spectroscopy	NOUN
fcis-29385	20	47	in	in	ADP
fcis-29385	20	48	textile	textile	NOUN
fcis-29385	20	49	composition	composition	NOUN
fcis-29385	20	50	detection	detection	NOUN
fcis-29385	20	51	.	.	PUNCT
fcis-29385	21	1	the	the	DET
fcis-29385	21	2	study	study	NOUN
fcis-29385	21	3	examined	examine	VERB
fcis-29385	21	4	the	the	DET
fcis-29385	21	5	impact	impact	NOUN
fcis-29385	21	6	of	of	ADP
fcis-29385	21	7	savitzky	savitzky	NOUN
fcis-29385	21	8	-	-	PUNCT
fcis-29385	21	9	golay	golay	NOUN
fcis-29385	21	10	(	(	PUNCT
fcis-29385	21	11	sg	sg	NOUN
fcis-29385	21	12	)	)	PUNCT
fcis-29385	21	13	smoothing	smooth	VERB
fcis-29385	21	14	on	on	ADP
fcis-29385	21	15	model	model	NOUN
fcis-29385	21	16	performance	performance	NOUN
fcis-29385	21	17	and	and	CCONJ
fcis-29385	21	18	established	establish	VERB
fcis-29385	21	19	a	a	DET
fcis-29385	21	20	model	model	NOUN
fcis-29385	21	21	for	for	ADP
fcis-29385	21	22	textile	textile	NOUN
fcis-29385	21	23	composition	composition	NOUN
fcis-29385	21	24	identification	identification	NOUN
fcis-29385	21	25	and	and	CCONJ
fcis-29385	21	26	content	content	NOUN
fcis-29385	21	27	detection	detection	NOUN
fcis-29385	21	28	based	base	VERB
fcis-29385	21	29	on	on	ADP
fcis-29385	21	30	medium	medium	ADJ
fcis-29385	21	31	-	-	PUNCT
fcis-29385	21	32	wave	wave	NOUN
fcis-29385	21	33	nir	nir	PROPN
fcis-29385	21	34	spectra	spectra	NOUN
fcis-29385	21	35	.	.	PUNCT
fcis-29385	22	1	additionally	additionally	ADV
fcis-29385	22	2	,	,	PUNCT
fcis-29385	22	3	the	the	DET
fcis-29385	22	4	sparse	sparse	ADJ
fcis-29385	22	5	principal	principal	ADJ
fcis-29385	22	6	component	component	NOUN
fcis-29385	22	7	analysis	analysis	NOUN
fcis-29385	22	8	(	(	PUNCT
fcis-29385	22	9	spca	spca	NOUN
fcis-29385	22	10	)	)	PUNCT
fcis-29385	22	11	method	method	NOUN
fcis-29385	22	12	was	be	AUX
fcis-29385	22	13	proposed	propose	VERB
fcis-29385	22	14	to	to	PART
fcis-29385	22	15	overcome	overcome	VERB
fcis-29385	22	16	the	the	DET
fcis-29385	22	17	impact	impact	NOUN
fcis-29385	22	18	of	of	ADP
fcis-29385	22	19	sample	sample	NOUN
fcis-29385	22	20	color	color	NOUN
fcis-29385	22	21	on	on	ADP
fcis-29385	22	22	the	the	DET
fcis-29385	22	23	model	model	NOUN
fcis-29385	22	24	.	.	PUNCT
fcis-29385	23	1	a	a	DET
fcis-29385	23	2	textile	textile	NOUN
fcis-29385	23	3	composition	composition	NOUN
fcis-29385	23	4	analysis	analysis	NOUN
fcis-29385	23	5	and	and	CCONJ
fcis-29385	23	6	identification	identification	NOUN
fcis-29385	23	7	model	model	NOUN
fcis-29385	23	8	based	base	VERB
fcis-29385	23	9	on	on	ADP
fcis-29385	23	10	shortwave	shortwave	NOUN
fcis-29385	23	11	nir	nir	PROPN
fcis-29385	23	12	spectra	spectra	NOUN
fcis-29385	23	13	was	be	AUX
fcis-29385	23	14	also	also	ADV
fcis-29385	23	15	developed	develop	VERB
fcis-29385	23	16	.	.	PUNCT
fcis-29385	24	1	in	in	ADP
fcis-29385	24	2	2022	2022	NUM
fcis-29385	24	3	,	,	PUNCT
fcis-29385	24	4	abdulrahman	abdulrahman	NOUN
fcis-29385	24	5	aljannahi[5	aljannahi[5	ADP
fcis-29385	24	6	]	]	PUNCT
fcis-29385	24	7	and	and	CCONJ
fcis-29385	24	8	others	other	NOUN
fcis-29385	24	9	used	use	VERB
fcis-29385	24	10	fourier	fourier	NOUN
fcis-29385	24	11	transform	transform	NOUN
fcis-29385	24	12	infrared	infrared	ADJ
fcis-29385	24	13	(	(	PUNCT
fcis-29385	24	14	ftir	ftir	NOUN
fcis-29385	24	15	)	)	PUNCT
fcis-29385	24	16	spectroscopy	spectroscopy	VERB
fcis-29385	24	17	to	to	PART
fcis-29385	24	18	classify	classify	VERB
fcis-29385	24	19	138	138	NUM
fcis-29385	24	20	types	type	NOUN
fcis-29385	24	21	of	of	ADP
fcis-29385	24	22	synthetic	synthetic	ADJ
fcis-29385	24	23	textile	textile	NOUN
fcis-29385	24	24	fibers	fiber	NOUN
fcis-29385	24	25	.	.	PUNCT
fcis-29385	25	1	the	the	DET
fcis-29385	25	2	study	study	NOUN
fcis-29385	25	3	analyzed	analyze	VERB
fcis-29385	25	4	preprocessing	preprocessing	NOUN
fcis-29385	25	5	techniques	technique	NOUN
fcis-29385	25	6	,	,	PUNCT
fcis-29385	25	7	including	include	VERB
fcis-29385	25	8	sg	sg	ADP
fcis-29385	25	9	first	first	ADJ
fcis-29385	25	10	derivative	derivative	ADJ
fcis-29385	25	11	and	and	CCONJ
fcis-29385	25	12	standard	standard	ADJ
fcis-29385	25	13	normal	normal	ADJ
fcis-29385	25	14	variate	variate	NOUN
fcis-29385	25	15	(	(	PUNCT
fcis-29385	25	16	snv	snv	PROPN
fcis-29385	25	17	)	)	PUNCT
fcis-29385	25	18	methods	method	NOUN
fcis-29385	25	19	,	,	PUNCT
fcis-29385	25	20	and	and	CCONJ
fcis-29385	25	21	established	establish	VERB
fcis-29385	25	22	principal	principal	ADJ
fcis-29385	25	23	component	component	NOUN
fcis-29385	25	24	analysis	analysis	NOUN
fcis-29385	25	25	(	(	PUNCT
fcis-29385	25	26	pca	pca	NOUN
fcis-29385	25	27	)	)	PUNCT
fcis-29385	25	28	to	to	PART
fcis-29385	25	29	observe	observe	VERB
fcis-29385	25	30	unique	unique	ADJ
fcis-29385	25	31	patterns	pattern	NOUN
fcis-29385	25	32	and	and	CCONJ
fcis-29385	25	33	cluster	cluster	NOUN
fcis-29385	25	34	samples	sample	NOUN
fcis-29385	25	35	.	.	PUNCT
fcis-29385	26	1	a	a	DET
fcis-29385	26	2	wealth	wealth	NOUN
fcis-29385	26	3	of	of	ADP
fcis-29385	26	4	research	research	NOUN
fcis-29385	26	5	has	have	AUX
fcis-29385	26	6	shown	show	VERB
fcis-29385	26	7	that	that	SCONJ
fcis-29385	26	8	nir	nir	ADJ
fcis-29385	26	9	spectroscopy	spectroscopy	NOUN
fcis-29385	26	10	is	be	AUX
fcis-29385	26	11	a	a	DET
fcis-29385	26	12	feasible	feasible	ADJ
fcis-29385	26	13	method	method	NOUN
fcis-29385	26	14	for	for	ADP
fcis-29385	26	15	rapid	rapid	ADJ
fcis-29385	26	16	,	,	PUNCT
fcis-29385	26	17	non	non	ADJ
fcis-29385	26	18	-	-	ADJ
fcis-29385	26	19	destructive	destructive	ADJ
fcis-29385	26	20	identification	identification	NOUN
fcis-29385	26	21	of	of	ADP
fcis-29385	26	22	fibers	fiber	NOUN
fcis-29385	26	23	.	.	PUNCT
fcis-29385	27	1	in	in	ADP
fcis-29385	27	2	recent	recent	ADJ
fcis-29385	27	3	years	year	NOUN
fcis-29385	27	4	,	,	PUNCT
fcis-29385	27	5	with	with	ADP
fcis-29385	27	6	the	the	DET
fcis-29385	27	7	miniaturization	miniaturization	NOUN
fcis-29385	27	8	and	and	CCONJ
fcis-29385	27	9	intelligence	intelligence	NOUN
fcis-29385	27	10	of	of	ADP
fcis-29385	27	11	spectroscopic	spectroscopic	ADJ
fcis-29385	27	12	instruments	instrument	NOUN
fcis-29385	27	13	,	,	PUNCT
fcis-29385	27	14	as	as	ADV
fcis-29385	27	15	well	well	ADV
fcis-29385	27	16	as	as	ADP
fcis-29385	27	17	advancements	advancement	NOUN
fcis-29385	27	18	in	in	ADP
fcis-29385	27	19	data	datum	NOUN
fcis-29385	27	20	analysis	analysis	NOUN
fcis-29385	27	21	algorithms	algorithm	NOUN
fcis-29385	27	22	,	,	PUNCT
fcis-29385	27	23	the	the	DET
fcis-29385	27	24	application	application	NOUN
fcis-29385	27	25	of	of	ADP
fcis-29385	27	26	nir	nir	ADJ
fcis-29385	27	27	spectroscopy	spectroscopy	NOUN
fcis-29385	27	28	has	have	AUX
fcis-29385	27	29	gradually	gradually	ADV
fcis-29385	27	30	expanded	expand	VERB
fcis-29385	27	31	from	from	ADP
fcis-29385	27	32	laboratory	laboratory	NOUN
fcis-29385	27	33	settings	setting	NOUN
fcis-29385	27	34	to	to	ADP
fcis-29385	27	35	field	field	NOUN
fcis-29385	27	36	testing	testing	NOUN
fcis-29385	27	37	.	.	PUNCT
fcis-29385	28	1	portable	portable	ADJ
fcis-29385	28	2	nir	nir	ADJ
fcis-29385	28	3	spectrometers	spectrometer	NOUN
fcis-29385	28	4	offer	offer	VERB
fcis-29385	28	5	advantages	advantage	NOUN
fcis-29385	28	6	such	such	ADJ
fcis-29385	28	7	as	as	ADP
fcis-29385	28	8	ease	ease	NOUN
fcis-29385	28	9	of	of	ADP
fcis-29385	28	10	use	use	NOUN
fcis-29385	28	11	,	,	PUNCT
fcis-29385	28	12	fast	fast	ADJ
fcis-29385	28	13	analysis	analysis	NOUN
fcis-29385	28	14	,	,	PUNCT
fcis-29385	28	15	non	non	ADJ
fcis-29385	28	16	-	-	NOUN
fcis-29385	28	17	destructiveness	destructiveness	NOUN
fcis-29385	28	18	,	,	PUNCT
fcis-29385	28	19	minimal	minimal	ADJ
fcis-29385	28	20	sample	sample	NOUN
fcis-29385	28	21	preparation	preparation	NOUN
fcis-29385	28	22	,	,	PUNCT
fcis-29385	28	23	multi	multi	ADJ
fcis-29385	28	24	-	-	ADJ
fcis-29385	28	25	component	component	ADJ
fcis-29385	28	26	simultaneous	simultaneous	ADJ
fcis-29385	28	27	analysis	analysis	NOUN
fcis-29385	28	28	,	,	PUNCT
fcis-29385	28	29	and	and	CCONJ
fcis-29385	28	30	low	low	ADJ
fcis-29385	28	31	cost[6	cost[6	NOUN
fcis-29385	28	32	]	]	PUNCT
fcis-29385	28	33	.	.	PUNCT
fcis-29385	29	1	they	they	PRON
fcis-29385	29	2	have	have	AUX
fcis-29385	29	3	demonstrated	demonstrate	VERB
fcis-29385	29	4	excellent	excellent	ADJ
fcis-29385	29	5	performance	performance	NOUN
fcis-29385	29	6	in	in	ADP
fcis-29385	29	7	real	real	ADJ
fcis-29385	29	8	-	-	PUNCT
fcis-29385	29	9	time	time	NOUN
fcis-29385	29	10	online	online	ADJ
fcis-29385	29	11	analysis[7	analysis[7	NOUN
fcis-29385	29	12	]	]	PUNCT
fcis-29385	29	13	and	and	CCONJ
fcis-29385	29	14	have	have	AUX
fcis-29385	29	15	been	be	AUX
fcis-29385	29	16	widely	widely	ADV
fcis-29385	29	17	applied	apply	VERB
fcis-29385	29	18	both	both	CCONJ
fcis-29385	29	19	domestically	domestically	ADV
fcis-29385	29	20	and	and	CCONJ
fcis-29385	29	21	internationally[8	internationally[8	NOUN
fcis-29385	29	22	]	]	PUNCT
fcis-29385	29	23	.	.	PUNCT
fcis-29385	30	1	moreover	moreover	ADV
fcis-29385	30	2	,	,	PUNCT
fcis-29385	30	3	the	the	DET
fcis-29385	30	4	integration	integration	NOUN
fcis-29385	30	5	of	of	ADP
fcis-29385	30	6	artificial	artificial	ADJ
fcis-29385	30	7	intelligence	intelligence	NOUN
fcis-29385	30	8	and	and	CCONJ
fcis-29385	30	9	big	big	ADJ
fcis-29385	30	10	data	datum	NOUN
fcis-29385	30	11	analysis	analysis	NOUN
fcis-29385	30	12	provides	provide	VERB
fcis-29385	30	13	strong	strong	ADJ
fcis-29385	30	14	support	support	NOUN
fcis-29385	30	15	for	for	ADP
fcis-29385	30	16	processing	processing	NOUN
fcis-29385	30	17	and	and	CCONJ
fcis-29385	30	18	interpreting	interpret	VERB
fcis-29385	30	19	complex	complex	ADJ
fcis-29385	30	20	spectral	spectral	ADJ
fcis-29385	30	21	data	datum	NOUN
fcis-29385	30	22	,	,	PUNCT
fcis-29385	30	23	further	far	ADV
fcis-29385	30	24	enhancing	enhance	VERB
fcis-29385	30	25	the	the	DET
fcis-29385	30	26	accuracy	accuracy	NOUN
fcis-29385	30	27	and	and	CCONJ
fcis-29385	30	28	applicability	applicability	NOUN
fcis-29385	30	29	of	of	ADP
fcis-29385	30	30	the	the	DET
fcis-29385	30	31	detection	detection	NOUN
fcis-29385	30	32	.	.	PUNCT
fcis-29385	31	1	90	90	NUM
fcis-29385	31	2	this	this	DET
fcis-29385	31	3	study	study	NOUN
fcis-29385	31	4	aims	aim	VERB
fcis-29385	31	5	to	to	PART
fcis-29385	31	6	use	use	VERB
fcis-29385	31	7	a	a	DET
fcis-29385	31	8	handheld	handheld	ADJ
fcis-29385	31	9	nir	nir	ADJ
fcis-29385	31	10	spectrometer	spectrometer	NOUN
fcis-29385	31	11	to	to	PART
fcis-29385	31	12	collect	collect	VERB
fcis-29385	31	13	near	near	ADV
fcis-29385	31	14	-	-	PUNCT
fcis-29385	31	15	infrared	infrared	ADJ
fcis-29385	31	16	spectral	spectral	ADJ
fcis-29385	31	17	data	datum	NOUN
fcis-29385	31	18	from	from	ADP
fcis-29385	31	19	fiber	fiber	NOUN
fcis-29385	31	20	samples	sample	NOUN
fcis-29385	31	21	,	,	PUNCT
fcis-29385	31	22	combined	combine	VERB
fcis-29385	31	23	with	with	ADP
fcis-29385	31	24	chemometric	chemometric	ADJ
fcis-29385	31	25	methods	method	NOUN
fcis-29385	31	26	,	,	PUNCT
fcis-29385	31	27	to	to	PART
fcis-29385	31	28	classify	classify	VERB
fcis-29385	31	29	fiber	fiber	NOUN
fcis-29385	31	30	types	type	NOUN
fcis-29385	31	31	.	.	PUNCT
fcis-29385	32	1	the	the	DET
fcis-29385	32	2	nir	nir	ADJ
fcis-29385	32	3	spectral	spectral	ADJ
fcis-29385	32	4	data	datum	NOUN
fcis-29385	32	5	of	of	ADP
fcis-29385	32	6	the	the	DET
fcis-29385	32	7	samples	sample	NOUN
fcis-29385	32	8	are	be	AUX
fcis-29385	32	9	divided	divide	VERB
fcis-29385	32	10	into	into	ADP
fcis-29385	32	11	training	training	NOUN
fcis-29385	32	12	and	and	CCONJ
fcis-29385	32	13	test	test	NOUN
fcis-29385	32	14	sets	set	NOUN
fcis-29385	32	15	,	,	PUNCT
fcis-29385	32	16	and	and	CCONJ
fcis-29385	32	17	a	a	DET
fcis-29385	32	18	classification	classification	NOUN
fcis-29385	32	19	model	model	NOUN
fcis-29385	32	20	is	be	AUX
fcis-29385	32	21	built	build	VERB
fcis-29385	32	22	using	use	VERB
fcis-29385	32	23	smotetomek	smotetomek	PROPN
fcis-29385	32	24	data	datum	NOUN
fcis-29385	32	25	oversampling	oversample	VERB
fcis-29385	32	26	,	,	PUNCT
fcis-29385	32	27	data	datum	NOUN
fcis-29385	32	28	preprocessing	preprocessing	NOUN
fcis-29385	32	29	algorithms	algorithm	NOUN
fcis-29385	32	30	,	,	PUNCT
fcis-29385	32	31	feature	feature	NOUN
fcis-29385	32	32	processing	processing	NOUN
fcis-29385	32	33	algorithms	algorithm	NOUN
fcis-29385	32	34	,	,	PUNCT
fcis-29385	32	35	and	and	CCONJ
fcis-29385	32	36	classification	classification	NOUN
fcis-29385	32	37	algorithms	algorithm	NOUN
fcis-29385	32	38	.	.	PUNCT
fcis-29385	33	1	ten	ten	NUM
fcis-29385	33	2	-	-	ADJ
fcis-29385	33	3	fold	fold	ADJ
fcis-29385	33	4	cross	cross	NOUN
fcis-29385	33	5	-	-	ADJ
fcis-29385	33	6	validation	validation	NOUN
fcis-29385	33	7	is	be	AUX
fcis-29385	33	8	applied	apply	VERB
fcis-29385	33	9	to	to	ADP
fcis-29385	33	10	the	the	DET
fcis-29385	33	11	training	training	NOUN
fcis-29385	33	12	set	set	NOUN
fcis-29385	33	13	,	,	PUNCT
fcis-29385	33	14	and	and	CCONJ
fcis-29385	33	15	the	the	DET
fcis-29385	33	16	optimal	optimal	ADJ
fcis-29385	33	17	model	model	NOUN
fcis-29385	33	18	is	be	AUX
fcis-29385	33	19	selected	select	VERB
fcis-29385	33	20	based	base	VERB
fcis-29385	33	21	on	on	ADP
fcis-29385	33	22	evaluation	evaluation	NOUN
fcis-29385	33	23	metrics	metric	NOUN
fcis-29385	33	24	.	.	PUNCT
fcis-29385	34	1	the	the	DET
fcis-29385	34	2	selected	select	VERB
fcis-29385	34	3	model	model	NOUN
fcis-29385	34	4	is	be	AUX
fcis-29385	34	5	then	then	ADV
fcis-29385	34	6	applied	apply	VERB
fcis-29385	34	7	to	to	ADP
fcis-29385	34	8	the	the	DET
fcis-29385	34	9	test	test	NOUN
fcis-29385	34	10	set	set	VERB
fcis-29385	34	11	to	to	PART
fcis-29385	34	12	obtain	obtain	VERB
fcis-29385	34	13	the	the	DET
fcis-29385	34	14	evaluation	evaluation	NOUN
fcis-29385	34	15	metrics	metric	NOUN
fcis-29385	34	16	for	for	ADP
fcis-29385	34	17	the	the	DET
fcis-29385	34	18	test	test	NOUN
fcis-29385	34	19	set	set	NOUN
fcis-29385	34	20	.	.	PUNCT
fcis-29385	35	1	the	the	DET
fcis-29385	35	2	evaluation	evaluation	NOUN
fcis-29385	35	3	metrics	metric	NOUN
fcis-29385	35	4	used	use	VERB
fcis-29385	35	5	are	be	AUX
fcis-29385	35	6	classification	classification	NOUN
fcis-29385	35	7	accuracy	accuracy	NOUN
fcis-29385	35	8	and	and	CCONJ
fcis-29385	35	9	auc_macro	auc_macro	X
fcis-29385	35	10	under	under	ADP
fcis-29385	35	11	multi	multi	ADJ
fcis-29385	35	12	-	-	ADJ
fcis-29385	35	13	class	class	ADJ
fcis-29385	35	14	conditions	condition	NOUN
fcis-29385	35	15	.	.	PUNCT
fcis-29385	36	1	in	in	ADP
fcis-29385	36	2	the	the	DET
fcis-29385	36	3	fiber	fiber	NOUN
fcis-29385	36	4	classification	classification	NOUN
fcis-29385	36	5	model	model	NOUN
fcis-29385	36	6	smotetomek_sg_rf	smotetomek_sg_rf	PROPN
fcis-29385	36	7	,	,	PUNCT
fcis-29385	36	8	the	the	DET
fcis-29385	36	9	classification	classification	NOUN
fcis-29385	36	10	accuracy	accuracy	NOUN
fcis-29385	36	11	for	for	ADP
fcis-29385	36	12	the	the	DET
fcis-29385	36	13	test	test	NOUN
fcis-29385	36	14	set	set	VERB
fcis-29385	36	15	is	be	AUX
fcis-29385	36	16	93.7	93.7	NUM
fcis-29385	36	17	%	%	NOUN
fcis-29385	36	18	,	,	PUNCT
fcis-29385	36	19	and	and	CCONJ
fcis-29385	36	20	the	the	DET
fcis-29385	36	21	auc_macro	auc_macro	X
fcis-29385	36	22	is	be	AUX
fcis-29385	36	23	0.928	0.928	NUM
fcis-29385	36	24	.	.	PUNCT
fcis-29385	37	1	additionally	additionally	ADV
fcis-29385	37	2	,	,	PUNCT
fcis-29385	37	3	the	the	DET
fcis-29385	37	4	impact	impact	NOUN
fcis-29385	37	5	of	of	ADP
fcis-29385	37	6	feature	feature	NOUN
fcis-29385	37	7	processing	processing	NOUN
fcis-29385	37	8	algorithms	algorithm	NOUN
fcis-29385	37	9	such	such	ADJ
fcis-29385	37	10	as	as	ADP
fcis-29385	37	11	pca	pca	NOUN
fcis-29385	37	12	and	and	CCONJ
fcis-29385	37	13	cars	car	NOUN
fcis-29385	37	14	on	on	ADP
fcis-29385	37	15	model	model	NOUN
fcis-29385	37	16	performance	performance	NOUN
fcis-29385	37	17	was	be	AUX
fcis-29385	37	18	also	also	ADV
fcis-29385	37	19	evaluated	evaluate	VERB
fcis-29385	37	20	.	.	PUNCT
fcis-29385	38	1	ultimately	ultimately	ADV
fcis-29385	38	2	,	,	PUNCT
fcis-29385	38	3	the	the	DET
fcis-29385	38	4	research	research	NOUN
fcis-29385	38	5	aims	aim	VERB
fcis-29385	38	6	to	to	PART
fcis-29385	38	7	provide	provide	VERB
fcis-29385	38	8	a	a	DET
fcis-29385	38	9	rapid	rapid	ADJ
fcis-29385	38	10	,	,	PUNCT
fcis-29385	38	11	non	non	ADJ
fcis-29385	38	12	-	-	ADJ
fcis-29385	38	13	destructive	destructive	ADJ
fcis-29385	38	14	method	method	NOUN
fcis-29385	38	15	for	for	ADP
fcis-29385	38	16	textile	textile	NOUN
fcis-29385	38	17	fiber	fiber	NOUN
fcis-29385	38	18	classification	classification	NOUN
fcis-29385	38	19	,	,	PUNCT
fcis-29385	38	20	thereby	thereby	ADV
fcis-29385	38	21	improving	improve	VERB
fcis-29385	38	22	the	the	DET
fcis-29385	38	23	efficiency	efficiency	NOUN
fcis-29385	38	24	and	and	CCONJ
fcis-29385	38	25	value	value	NOUN
fcis-29385	38	26	of	of	ADP
fcis-29385	38	27	fiber	fiber	NOUN
fcis-29385	38	28	identification	identification	NOUN
fcis-29385	38	29	.	.	PUNCT
fcis-29385	39	1	2	2	X
fcis-29385	39	2	.	.	X
fcis-29385	39	3	experiments	experiment	NOUN
fcis-29385	39	4	and	and	CCONJ
fcis-29385	39	5	methods	method	NOUN
fcis-29385	39	6	2.1	2.1	NUM
fcis-29385	39	7	.	.	PUNCT
fcis-29385	40	1	experimental	experimental	ADJ
fcis-29385	40	2	samples	sample	NOUN
fcis-29385	40	3	fibers	fiber	NOUN
fcis-29385	40	4	are	be	AUX
fcis-29385	40	5	defined	define	VERB
fcis-29385	40	6	as	as	ADP
fcis-29385	40	7	slender	slender	ADJ
fcis-29385	40	8	,	,	PUNCT
fcis-29385	40	9	flexible	flexible	ADJ
fcis-29385	40	10	materials	material	NOUN
fcis-29385	40	11	with	with	ADP
fcis-29385	40	12	a	a	DET
fcis-29385	40	13	certain	certain	ADJ
fcis-29385	40	14	length	length	NOUN
fcis-29385	40	15	and	and	CCONJ
fcis-29385	40	16	strength	strength	NOUN
fcis-29385	40	17	,	,	PUNCT
fcis-29385	40	18	and	and	CCONJ
fcis-29385	40	19	they	they	PRON
fcis-29385	40	20	can	can	AUX
fcis-29385	40	21	be	be	AUX
fcis-29385	40	22	classified	classify	VERB
fcis-29385	40	23	based	base	VERB
fcis-29385	40	24	on	on	ADP
fcis-29385	40	25	their	their	PRON
fcis-29385	40	26	origin	origin	NOUN
fcis-29385	40	27	and	and	CCONJ
fcis-29385	40	28	properties[9	properties[9	NOUN
fcis-29385	40	29	]	]	PUNCT
fcis-29385	40	30	.	.	PUNCT
fcis-29385	41	1	according	accord	VERB
fcis-29385	41	2	to	to	ADP
fcis-29385	41	3	the	the	DET
fcis-29385	41	4	source	source	NOUN
fcis-29385	41	5	of	of	ADP
fcis-29385	41	6	the	the	DET
fcis-29385	41	7	fiber	fiber	NOUN
fcis-29385	41	8	,	,	PUNCT
fcis-29385	41	9	samples	sample	NOUN
fcis-29385	41	10	can	can	AUX
fcis-29385	41	11	be	be	AUX
fcis-29385	41	12	divided	divide	VERB
fcis-29385	41	13	into	into	ADP
fcis-29385	41	14	synthetic	synthetic	ADJ
fcis-29385	41	15	fibers	fiber	NOUN
fcis-29385	41	16	and	and	CCONJ
fcis-29385	41	17	natural	natural	ADJ
fcis-29385	41	18	fibers	fiber	NOUN
fcis-29385	41	19	.	.	PUNCT
fcis-29385	42	1	to	to	PART
fcis-29385	42	2	establish	establish	VERB
fcis-29385	42	3	a	a	DET
fcis-29385	42	4	general	general	ADJ
fcis-29385	42	5	methodology	methodology	NOUN
fcis-29385	42	6	,	,	PUNCT
fcis-29385	42	7	this	this	DET
fcis-29385	42	8	experiment	experiment	NOUN
fcis-29385	42	9	uses	use	VERB
fcis-29385	42	10	polyester	polyester	NOUN
fcis-29385	42	11	,	,	PUNCT
fcis-29385	42	12	linen	linen	NOUN
fcis-29385	42	13	-	-	PUNCT
fcis-29385	42	14	silk	silk	NOUN
fcis-29385	42	15	,	,	PUNCT
fcis-29385	42	16	cotton	cotton	NOUN
fcis-29385	42	17	,	,	PUNCT
fcis-29385	42	18	leather	leather	NOUN
fcis-29385	42	19	,	,	PUNCT
fcis-29385	42	20	and	and	CCONJ
fcis-29385	42	21	wool	wool	NOUN
fcis-29385	42	22	as	as	ADP
fcis-29385	42	23	fiber	fiber	NOUN
fcis-29385	42	24	samples	sample	NOUN
fcis-29385	42	25	for	for	ADP
fcis-29385	42	26	classification	classification	NOUN
fcis-29385	42	27	.	.	PUNCT
fcis-29385	43	1	these	these	DET
fcis-29385	43	2	five	five	NUM
fcis-29385	43	3	types	type	NOUN
fcis-29385	43	4	of	of	ADP
fcis-29385	43	5	fibers	fiber	NOUN
fcis-29385	43	6	represent	represent	VERB
fcis-29385	43	7	common	common	ADJ
fcis-29385	43	8	fiber	fiber	NOUN
fcis-29385	43	9	types	type	NOUN
fcis-29385	43	10	in	in	ADP
fcis-29385	43	11	the	the	DET
fcis-29385	43	12	market	market	NOUN
fcis-29385	43	13	,	,	PUNCT
fcis-29385	43	14	covering	cover	VERB
fcis-29385	43	15	natural	natural	ADJ
fcis-29385	43	16	fibers	fiber	NOUN
fcis-29385	43	17	,	,	PUNCT
fcis-29385	43	18	chemical	chemical	NOUN
fcis-29385	43	19	fibers	fiber	NOUN
fcis-29385	43	20	,	,	PUNCT
fcis-29385	43	21	and	and	CCONJ
fcis-29385	43	22	animal	animal	NOUN
fcis-29385	43	23	leather	leather	NOUN
fcis-29385	43	24	.	.	PUNCT
fcis-29385	44	1	each	each	PRON
fcis-29385	44	2	of	of	ADP
fcis-29385	44	3	these	these	DET
fcis-29385	44	4	fibers	fiber	NOUN
fcis-29385	44	5	has	have	VERB
fcis-29385	44	6	unique	unique	ADJ
fcis-29385	44	7	physicochemical	physicochemical	ADJ
fcis-29385	44	8	properties	property	NOUN
fcis-29385	44	9	,	,	PUNCT
fcis-29385	44	10	which	which	PRON
fcis-29385	44	11	reflect	reflect	VERB
fcis-29385	44	12	the	the	DET
fcis-29385	44	13	typical	typical	ADJ
fcis-29385	44	14	characteristics	characteristic	NOUN
fcis-29385	44	15	of	of	ADP
fcis-29385	44	16	different	different	ADJ
fcis-29385	44	17	fiber	fiber	NOUN
fcis-29385	44	18	types	type	NOUN
fcis-29385	44	19	.	.	PUNCT
fcis-29385	45	1	the	the	DET
fcis-29385	45	2	experimental	experimental	ADJ
fcis-29385	45	3	samples	sample	NOUN
fcis-29385	45	4	were	be	AUX
fcis-29385	45	5	provided	provide	VERB
fcis-29385	45	6	by	by	ADP
fcis-29385	45	7	a	a	DET
fcis-29385	45	8	well	well	ADV
fcis-29385	45	9	-	-	PUNCT
fcis-29385	45	10	known	know	VERB
fcis-29385	45	11	domestic	domestic	ADJ
fcis-29385	45	12	textile	textile	NOUN
fcis-29385	45	13	company	company	NOUN
fcis-29385	45	14	,	,	PUNCT
fcis-29385	45	15	consisting	consist	VERB
fcis-29385	45	16	of	of	ADP
fcis-29385	45	17	869	869	NUM
fcis-29385	45	18	samples	sample	NOUN
fcis-29385	45	19	in	in	ADP
fcis-29385	45	20	total	total	NOUN
fcis-29385	45	21	,	,	PUNCT
fcis-29385	45	22	including	include	VERB
fcis-29385	45	23	348	348	NUM
fcis-29385	45	24	polyester	polyester	NOUN
fcis-29385	45	25	,	,	PUNCT
fcis-29385	45	26	102	102	NUM
fcis-29385	45	27	linen	linen	NOUN
fcis-29385	45	28	-	-	PUNCT
fcis-29385	45	29	silk	silk	NOUN
fcis-29385	45	30	,	,	PUNCT
fcis-29385	45	31	226	226	NUM
fcis-29385	45	32	cotton	cotton	NOUN
fcis-29385	45	33	,	,	PUNCT
fcis-29385	45	34	100	100	NUM
fcis-29385	45	35	leather	leather	NOUN
fcis-29385	45	36	,	,	PUNCT
fcis-29385	45	37	and	and	CCONJ
fcis-29385	45	38	93	93	NUM
fcis-29385	45	39	wool	wool	NOUN
fcis-29385	45	40	samples	sample	NOUN
fcis-29385	45	41	.	.	PUNCT
fcis-29385	46	1	each	each	DET
fcis-29385	46	2	sample	sample	NOUN
fcis-29385	46	3	is	be	AUX
fcis-29385	46	4	a	a	DET
fcis-29385	46	5	square	square	ADJ
fcis-29385	46	6	fabric	fabric	NOUN
fcis-29385	46	7	with	with	ADP
fcis-29385	46	8	approximately	approximately	ADV
fcis-29385	46	9	15	15	NUM
fcis-29385	46	10	cm	cm	NOUN
fcis-29385	46	11	sides	side	NOUN
fcis-29385	46	12	,	,	PUNCT
fcis-29385	46	13	containing	contain	VERB
fcis-29385	46	14	a	a	DET
fcis-29385	46	15	variety	variety	NOUN
fcis-29385	46	16	of	of	ADP
fcis-29385	46	17	styles	style	NOUN
fcis-29385	46	18	,	,	PUNCT
fcis-29385	46	19	patterns	pattern	NOUN
fcis-29385	46	20	,	,	PUNCT
fcis-29385	46	21	colors	color	NOUN
fcis-29385	46	22	,	,	PUNCT
fcis-29385	46	23	and	and	CCONJ
fcis-29385	46	24	structures	structure	NOUN
fcis-29385	46	25	.	.	PUNCT
fcis-29385	47	1	figure	figure	NOUN
fcis-29385	47	2	1	1	NUM
fcis-29385	47	3	shows	show	VERB
fcis-29385	47	4	a	a	DET
fcis-29385	47	5	sample	sample	NOUN
fcis-29385	47	6	example	example	NOUN
fcis-29385	47	7	.	.	PUNCT
fcis-29385	48	1	fig	fig	NOUN
fcis-29385	48	2	1	1	NUM
fcis-29385	48	3	.	.	PUNCT
fcis-29385	49	1	example	example	NOUN
fcis-29385	49	2	of	of	ADP
fcis-29385	49	3	a	a	DET
fcis-29385	49	4	fiber	fiber	NOUN
fcis-29385	49	5	sample	sample	NOUN
fcis-29385	49	6	2.2	2.2	NUM
fcis-29385	49	7	.	.	PUNCT
fcis-29385	50	1	experimental	experimental	ADJ
fcis-29385	50	2	setup	setup	NOUN
fcis-29385	50	3	and	and	CCONJ
fcis-29385	50	4	data	datum	NOUN
fcis-29385	50	5	acquisition	acquisition	NOUN
fcis-29385	50	6	we	we	PRON
fcis-29385	50	7	used	use	VERB
fcis-29385	50	8	a	a	DET
fcis-29385	50	9	handheld	handheld	ADJ
fcis-29385	50	10	long	long	ADJ
fcis-29385	50	11	-	-	PUNCT
fcis-29385	50	12	wave	wave	NOUN
fcis-29385	50	13	near	near	ADP
fcis-29385	50	14	-	-	PUNCT
fcis-29385	50	15	infrared	infrared	ADJ
fcis-29385	50	16	reflection	reflection	NOUN
fcis-29385	50	17	spectrometer	spectrometer	NOUN
fcis-29385	50	18	(	(	PUNCT
fcis-29385	50	19	gx	gx	PROPN
fcis-29385	50	20	-	-	PUNCT
fcis-29385	50	21	s1325	s1325	PROPN
fcis-29385	50	22	,	,	PUNCT
fcis-29385	50	23	guangzhou	guangzhou	PROPN
fcis-29385	50	24	guangxin	guangxin	PROPN
fcis-29385	50	25	technology	technology	PROPN
fcis-29385	50	26	co.	co.	PROPN
fcis-29385	50	27	,	,	PUNCT
fcis-29385	50	28	ltd	ltd	PROPN
fcis-29385	50	29	.	.	PROPN
fcis-29385	50	30	,	,	PUNCT
fcis-29385	50	31	china	china	PROPN
fcis-29385	50	32	)	)	PUNCT
fcis-29385	50	33	to	to	PART
fcis-29385	50	34	collect	collect	VERB
fcis-29385	50	35	spectral	spectral	ADJ
fcis-29385	50	36	data	datum	NOUN
fcis-29385	50	37	.	.	PUNCT
fcis-29385	51	1	the	the	DET
fcis-29385	51	2	wavelength	wavelength	NOUN
fcis-29385	51	3	range	range	NOUN
fcis-29385	51	4	was	be	AUX
fcis-29385	51	5	1350	1350	NUM
fcis-29385	51	6	-	-	SYM
fcis-29385	51	7	2500	2500	NUM
fcis-29385	51	8	nm	nm	NOUN
fcis-29385	51	9	,	,	PUNCT
fcis-29385	51	10	with	with	ADP
fcis-29385	51	11	a	a	DET
fcis-29385	51	12	resolution	resolution	NOUN
fcis-29385	51	13	of	of	ADP
fcis-29385	51	14	16	16	NUM
fcis-29385	51	15	nm	nm	NOUN
fcis-29385	51	16	.	.	PUNCT
fcis-29385	52	1	the	the	DET
fcis-29385	52	2	sample	sample	PROPN
fcis-29385	52	3	coverage	coverage	NOUN
fcis-29385	52	4	area	area	NOUN
fcis-29385	52	5	was	be	AUX
fcis-29385	52	6	10	10	NUM
fcis-29385	52	7	mm	mm	NOUN
fcis-29385	52	8	,	,	PUNCT
fcis-29385	52	9	and	and	CCONJ
fcis-29385	52	10	the	the	DET
fcis-29385	52	11	typical	typical	ADJ
fcis-29385	52	12	signal	signal	NOUN
fcis-29385	52	13	-	-	PUNCT
fcis-29385	52	14	tonoise	tonoise	NOUN
fcis-29385	52	15	ratio	ratio	NOUN
fcis-29385	52	16	was	be	AUX
fcis-29385	52	17	2000:1	2000:1	NUM
fcis-29385	52	18	.	.	PUNCT
fcis-29385	53	1	the	the	DET
fcis-29385	53	2	spectrometer	spectrometer	NOUN
fcis-29385	53	3	was	be	AUX
fcis-29385	53	4	placed	place	VERB
fcis-29385	53	5	flat	flat	ADJ
fcis-29385	53	6	on	on	ADP
fcis-29385	53	7	a	a	DET
fcis-29385	53	8	table	table	NOUN
fcis-29385	53	9	,	,	PUNCT
fcis-29385	53	10	and	and	CCONJ
fcis-29385	53	11	the	the	DET
fcis-29385	53	12	fabric	fabric	NOUN
fcis-29385	53	13	sample	sample	NOUN
fcis-29385	53	14	was	be	AUX
fcis-29385	53	15	placed	place	VERB
fcis-29385	53	16	over	over	ADP
fcis-29385	53	17	the	the	DET
fcis-29385	53	18	detector	detector	NOUN
fcis-29385	53	19	opening	opening	NOUN
fcis-29385	53	20	of	of	ADP
fcis-29385	53	21	the	the	DET
fcis-29385	53	22	spectrometer	spectrometer	NOUN
fcis-29385	53	23	,	,	PUNCT
fcis-29385	53	24	followed	follow	VERB
fcis-29385	53	25	by	by	ADP
fcis-29385	53	26	a	a	DET
fcis-29385	53	27	standard	standard	ADJ
fcis-29385	53	28	reflection	reflection	NOUN
fcis-29385	53	29	plate	plate	NOUN
fcis-29385	53	30	to	to	PART
fcis-29385	53	31	shield	shield	VERB
fcis-29385	53	32	ambient	ambient	ADJ
fcis-29385	53	33	light	light	NOUN
fcis-29385	53	34	.	.	PUNCT
fcis-29385	54	1	to	to	PART
fcis-29385	54	2	reduce	reduce	VERB
fcis-29385	54	3	random	random	ADJ
fcis-29385	54	4	noise	noise	NOUN
fcis-29385	54	5	caused	cause	VERB
fcis-29385	54	6	by	by	ADP
fcis-29385	54	7	instrument	instrument	NOUN
fcis-29385	54	8	and	and	CCONJ
fcis-29385	54	9	temperature	temperature	NOUN
fcis-29385	54	10	variations	variation	NOUN
fcis-29385	54	11	during	during	ADP
fcis-29385	54	12	spectral	spectral	ADJ
fcis-29385	54	13	measurements	measurement	NOUN
fcis-29385	54	14	,	,	PUNCT
fcis-29385	54	15	each	each	DET
fcis-29385	54	16	sample	sample	NOUN
fcis-29385	54	17	position	position	NOUN
fcis-29385	54	18	was	be	AUX
fcis-29385	54	19	measured	measure	VERB
fcis-29385	54	20	three	three	NUM
fcis-29385	54	21	times	time	NOUN
fcis-29385	54	22	,	,	PUNCT
fcis-29385	54	23	and	and	CCONJ
fcis-29385	54	24	the	the	DET
fcis-29385	54	25	average	average	NOUN
fcis-29385	54	26	of	of	ADP
fcis-29385	54	27	the	the	DET
fcis-29385	54	28	three	three	NUM
fcis-29385	54	29	spectra	spectra	NOUN
fcis-29385	54	30	was	be	AUX
fcis-29385	54	31	taken	take	VERB
fcis-29385	54	32	as	as	ADP
fcis-29385	54	33	the	the	DET
fcis-29385	54	34	spectral	spectral	ADJ
fcis-29385	54	35	data	datum	NOUN
fcis-29385	54	36	for	for	ADP
fcis-29385	54	37	that	that	DET
fcis-29385	54	38	position	position	NOUN
fcis-29385	54	39	.	.	PUNCT
fcis-29385	55	1	each	each	DET
fcis-29385	55	2	sample	sample	NOUN
fcis-29385	55	3	yielded	yield	VERB
fcis-29385	55	4	one	one	NUM
fcis-29385	55	5	nearinfrared	nearinfrared	ADJ
fcis-29385	55	6	spectrum	spectrum	NOUN
fcis-29385	55	7	,	,	PUNCT
fcis-29385	55	8	resulting	result	VERB
fcis-29385	55	9	in	in	ADP
fcis-29385	55	10	a	a	DET
fcis-29385	55	11	total	total	NOUN
fcis-29385	55	12	of	of	ADP
fcis-29385	55	13	869	869	NUM
fcis-29385	55	14	spectral	spectral	ADJ
fcis-29385	55	15	data	datum	NOUN
fcis-29385	55	16	points	point	NOUN
fcis-29385	55	17	.	.	PUNCT
fcis-29385	56	1	figure	figure	NOUN
fcis-29385	56	2	2	2	NUM
fcis-29385	56	3	shows	show	VERB
fcis-29385	56	4	a	a	DET
fcis-29385	56	5	schematic	schematic	NOUN
fcis-29385	56	6	of	of	ADP
fcis-29385	56	7	the	the	DET
fcis-29385	56	8	near	near	ADV
fcis-29385	56	9	-	-	PUNCT
fcis-29385	56	10	infrared	infrared	ADJ
fcis-29385	56	11	spectral	spectral	ADJ
fcis-29385	56	12	collection	collection	NOUN
fcis-29385	56	13	setup	setup	NOUN
fcis-29385	56	14	.	.	PUNCT
fcis-29385	57	1	fig	fig	NOUN
fcis-29385	57	2	2	2	NUM
fcis-29385	57	3	.	.	PUNCT
fcis-29385	57	4	near	near	ADP
fcis-29385	57	5	infrared	infrared	ADJ
fcis-29385	57	6	spectroscopy	spectroscopy	NOUN
fcis-29385	57	7	data	datum	NOUN
fcis-29385	57	8	acquisition	acquisition	NOUN
fcis-29385	57	9	device	device	NOUN
fcis-29385	57	10	2.3	2.3	NUM
fcis-29385	57	11	.	.	PUNCT
fcis-29385	58	1	data	datum	NOUN
fcis-29385	58	2	analysis	analysis	NOUN
fcis-29385	58	3	methods	method	NOUN
fcis-29385	58	4	the	the	DET
fcis-29385	58	5	data	data	NOUN
fcis-29385	58	6	analysis	analysis	NOUN
fcis-29385	58	7	algorithm	algorithm	NOUN
fcis-29385	58	8	was	be	AUX
fcis-29385	58	9	implemented	implement	VERB
fcis-29385	58	10	under	under	ADP
fcis-29385	58	11	windows	window	NOUN
fcis-29385	58	12	11	11	NUM
fcis-29385	58	13	operating	operating	NOUN
fcis-29385	58	14	system	system	NOUN
fcis-29385	58	15	using	use	VERB
fcis-29385	58	16	visual	visual	ADJ
fcis-29385	58	17	studio	studio	NOUN
fcis-29385	58	18	code	code	NOUN
fcis-29385	58	19	software	software	NOUN
fcis-29385	58	20	and	and	CCONJ
fcis-29385	58	21	the	the	DET
fcis-29385	58	22	programming	programming	NOUN
fcis-29385	58	23	language	language	NOUN
fcis-29385	58	24	was	be	AUX
fcis-29385	58	25	python	python	NOUN
fcis-29385	58	26	3.9	3.9	NUM
fcis-29385	58	27	.	.	PUNCT
fcis-29385	59	1	2.3.1	2.3.1	NUM
fcis-29385	59	2	.	.	PUNCT
fcis-29385	59	3	data	datum	NOUN
fcis-29385	59	4	balance	balance	NOUN
fcis-29385	59	5	processing	processing	NOUN
fcis-29385	59	6	--	--	PUNCT
fcis-29385	59	7	smotetomek	smotetomek	X
fcis-29385	59	8	comprehensive	comprehensive	ADJ
fcis-29385	59	9	sampling	sampling	NOUN
fcis-29385	59	10	in	in	ADP
fcis-29385	59	11	the	the	DET
fcis-29385	59	12	869	869	NUM
fcis-29385	59	13	samples	sample	NOUN
fcis-29385	59	14	tested	test	VERB
fcis-29385	59	15	,	,	PUNCT
fcis-29385	59	16	there	there	PRON
fcis-29385	59	17	were	be	VERB
fcis-29385	59	18	348	348	NUM
fcis-29385	59	19	polyester	polyester	NOUN
fcis-29385	59	20	samples	sample	NOUN
fcis-29385	59	21	,	,	PUNCT
fcis-29385	59	22	102	102	NUM
fcis-29385	59	23	linen	linen	NOUN
fcis-29385	59	24	-	-	PUNCT
fcis-29385	59	25	silk	silk	NOUN
fcis-29385	59	26	samples	sample	NOUN
fcis-29385	59	27	,	,	PUNCT
fcis-29385	59	28	226	226	NUM
fcis-29385	59	29	cotton	cotton	NOUN
fcis-29385	59	30	samples	sample	NOUN
fcis-29385	59	31	,	,	PUNCT
fcis-29385	59	32	100	100	NUM
fcis-29385	59	33	leather	leather	NOUN
fcis-29385	59	34	samples	sample	NOUN
fcis-29385	59	35	,	,	PUNCT
fcis-29385	59	36	and	and	CCONJ
fcis-29385	59	37	93	93	NUM
fcis-29385	59	38	wool	wool	NOUN
fcis-29385	59	39	samples	sample	NOUN
fcis-29385	59	40	,	,	PUNCT
fcis-29385	59	41	resulting	result	VERB
fcis-29385	59	42	in	in	ADP
fcis-29385	59	43	an	an	DET
fcis-29385	59	44	imbalanced	imbalanced	ADJ
fcis-29385	59	45	class	class	NOUN
fcis-29385	59	46	distribution	distribution	NOUN
fcis-29385	59	47	.	.	PUNCT
fcis-29385	60	1	to	to	PART
fcis-29385	60	2	eliminate	eliminate	VERB
fcis-29385	60	3	the	the	DET
fcis-29385	60	4	impact	impact	NOUN
fcis-29385	60	5	of	of	ADP
fcis-29385	60	6	this	this	DET
fcis-29385	60	7	imbalance	imbalance	NOUN
fcis-29385	60	8	,	,	PUNCT
fcis-29385	60	9	we	we	PRON
fcis-29385	60	10	used	use	VERB
fcis-29385	60	11	the	the	DET
fcis-29385	60	12	smotetomek	smotetomek	NOUN
fcis-29385	60	13	combined	combine	VERB
fcis-29385	60	14	sampling	sampling	NOUN
fcis-29385	60	15	method	method	NOUN
fcis-29385	60	16	.	.	PUNCT
fcis-29385	61	1	this	this	DET
fcis-29385	61	2	method	method	NOUN
fcis-29385	61	3	combines	combine	VERB
fcis-29385	61	4	smote	smote	ADJ
fcis-29385	61	5	(	(	PUNCT
fcis-29385	61	6	synthetic	synthetic	ADJ
fcis-29385	61	7	minority	minority	NOUN
fcis-29385	61	8	oversampling	oversample	VERB
fcis-29385	61	9	technique	technique	NOUN
fcis-29385	61	10	)	)	PUNCT
fcis-29385	61	11	oversampling	oversampling	NOUN
fcis-29385	61	12	and	and	CCONJ
fcis-29385	61	13	tomeklink	tomeklink	NOUN
fcis-29385	61	14	undersampling	undersample	VERB
fcis-29385	61	15	to	to	PART
fcis-29385	61	16	obtain	obtain	VERB
fcis-29385	61	17	a	a	DET
fcis-29385	61	18	balanced	balanced	ADJ
fcis-29385	61	19	training	training	NOUN
fcis-29385	61	20	dataset	dataset	NOUN
fcis-29385	61	21	,	,	PUNCT
fcis-29385	61	22	thereby	thereby	ADV
fcis-29385	61	23	improving	improve	VERB
fcis-29385	61	24	the	the	DET
fcis-29385	61	25	performance	performance	NOUN
fcis-29385	61	26	of	of	ADP
fcis-29385	61	27	the	the	DET
fcis-29385	61	28	classification	classification	NOUN
fcis-29385	61	29	model[10	model[10	NOUN
fcis-29385	61	30	]	]	X
fcis-29385	61	31	.	.	PUNCT
fcis-29385	62	1	the	the	DET
fcis-29385	62	2	core	core	NOUN
fcis-29385	62	3	idea	idea	NOUN
fcis-29385	62	4	is	be	AUX
fcis-29385	62	5	to	to	PART
fcis-29385	62	6	first	first	ADV
fcis-29385	62	7	use	use	VERB
fcis-29385	62	8	the	the	DET
fcis-29385	62	9	smote	smote	ADJ
fcis-29385	62	10	oversampling	oversample	VERB
fcis-29385	62	11	method	method	NOUN
fcis-29385	62	12	to	to	PART
fcis-29385	62	13	increase	increase	VERB
fcis-29385	62	14	the	the	DET
fcis-29385	62	15	sample	sample	NOUN
fcis-29385	62	16	data	datum	NOUN
fcis-29385	62	17	,	,	PUNCT
fcis-29385	62	18	and	and	CCONJ
fcis-29385	62	19	then	then	ADV
fcis-29385	62	20	apply	apply	VERB
fcis-29385	62	21	the	the	DET
fcis-29385	62	22	tomeklink	tomeklink	NOUN
fcis-29385	62	23	method	method	NOUN
fcis-29385	62	24	to	to	PART
fcis-29385	62	25	remove	remove	VERB
fcis-29385	62	26	data	datum	NOUN
fcis-29385	62	27	points	point	NOUN
fcis-29385	62	28	that	that	PRON
fcis-29385	62	29	are	be	AUX
fcis-29385	62	30	in	in	ADP
fcis-29385	62	31	a	a	DET
fcis-29385	62	32	borderline	borderline	NOUN
fcis-29385	62	33	state	state	NOUN
fcis-29385	62	34	,	,	PUNCT
fcis-29385	62	35	thereby	thereby	ADV
fcis-29385	62	36	eliminating	eliminate	VERB
fcis-29385	62	37	noise	noise	NOUN
fcis-29385	62	38	and	and	CCONJ
fcis-29385	62	39	boundaries.[11	boundaries.[11	NOUN
fcis-29385	62	40	]	]	X
fcis-29385	62	41	2.3.2	2.3.2	NUM
fcis-29385	62	42	.	.	PUNCT
fcis-29385	62	43	data	datum	NOUN
fcis-29385	62	44	preprocessing	preprocesse	VERB
fcis-29385	62	45	algorithms	algorithm	NOUN
fcis-29385	62	46	near	near	ADV
fcis-29385	62	47	-	-	PUNCT
fcis-29385	62	48	infrared	infrared	ADJ
fcis-29385	62	49	spectral	spectral	ADJ
fcis-29385	62	50	data	datum	NOUN
fcis-29385	62	51	are	be	AUX
fcis-29385	62	52	often	often	ADV
fcis-29385	62	53	affected	affect	VERB
fcis-29385	62	54	by	by	ADP
fcis-29385	62	55	noise	noise	NOUN
fcis-29385	62	56	,	,	PUNCT
fcis-29385	62	57	baseline	baseline	NOUN
fcis-29385	62	58	drift	drift	NOUN
fcis-29385	62	59	,	,	PUNCT
fcis-29385	62	60	sample	sample	NOUN
fcis-29385	62	61	surface	surface	NOUN
fcis-29385	62	62	unevenness	unevenness	NOUN
fcis-29385	62	63	,	,	PUNCT
fcis-29385	62	64	stray	stray	VERB
fcis-29385	62	65	light	light	ADJ
fcis-29385	62	66	interference	interference	NOUN
fcis-29385	62	67	,	,	PUNCT
fcis-29385	62	68	and	and	CCONJ
fcis-29385	62	69	other	other	ADJ
fcis-29385	62	70	factors	factor	NOUN
fcis-29385	62	71	.	.	PUNCT
fcis-29385	63	1	therefore	therefore	ADV
fcis-29385	63	2	,	,	PUNCT
fcis-29385	63	3	data	datum	NOUN
fcis-29385	63	4	preprocessing	preprocessing	NOUN
fcis-29385	63	5	is	be	AUX
fcis-29385	63	6	necessary	necessary	ADJ
fcis-29385	63	7	to	to	PART
fcis-29385	63	8	obtain	obtain	VERB
fcis-29385	63	9	more	more	ADV
fcis-29385	63	10	accurate	accurate	ADJ
fcis-29385	63	11	spectral	spectral	ADJ
fcis-29385	63	12	data	datum	NOUN
fcis-29385	63	13	.	.	PUNCT
fcis-29385	64	1	commonly	commonly	ADV
fcis-29385	64	2	used	use	VERB
fcis-29385	64	3	spectral	spectral	ADJ
fcis-29385	64	4	preprocessing	preprocessing	NOUN
fcis-29385	64	5	methods	method	NOUN
fcis-29385	64	6	include	include	VERB
fcis-29385	64	7	savitzky	savitzky	NOUN
fcis-29385	64	8	-	-	PUNCT
fcis-29385	64	9	golay	golay	PROPN
fcis-29385	64	10	(	(	PUNCT
fcis-29385	64	11	sg	sg	NOUN
fcis-29385	64	12	)	)	PUNCT
fcis-29385	64	13	smoothing	smoothing	NOUN
fcis-29385	64	14	,	,	PUNCT
fcis-29385	64	15	multivariate	multivariate	NOUN
fcis-29385	64	16	scatter	scatter	NOUN
fcis-29385	64	17	correction	correction	NOUN
fcis-29385	64	18	(	(	PUNCT
fcis-29385	64	19	msc	msc	PROPN
fcis-29385	64	20	)	)	PUNCT
fcis-29385	64	21	,	,	PUNCT
fcis-29385	64	22	standard	standard	ADJ
fcis-29385	64	23	normal	normal	ADJ
fcis-29385	64	24	variate	variate	NOUN
fcis-29385	64	25	(	(	PUNCT
fcis-29385	64	26	snv	snv	PROPN
fcis-29385	64	27	)	)	PUNCT
fcis-29385	64	28	transformation	transformation	NOUN
fcis-29385	64	29	,	,	PUNCT
fcis-29385	64	30	first	first	ADJ
fcis-29385	64	31	-	-	PUNCT
fcis-29385	64	32	order	order	NOUN
fcis-29385	64	33	differentiation	differentiation	NOUN
fcis-29385	64	34	(	(	PUNCT
fcis-29385	64	35	fd	fd	PROPN
fcis-29385	64	36	)	)	PUNCT
fcis-29385	64	37	,	,	PUNCT
fcis-29385	64	38	and	and	CCONJ
fcis-29385	64	39	their	their	PRON
fcis-29385	64	40	combined	combined	ADJ
fcis-29385	64	41	use	use	NOUN
fcis-29385	64	42	.	.	PUNCT
fcis-29385	65	1	the	the	DET
fcis-29385	65	2	sg	sg	PROPN
fcis-29385	65	3	algorithm	algorithm	NOUN
fcis-29385	65	4	is	be	AUX
fcis-29385	65	5	typically	typically	ADV
fcis-29385	65	6	used	use	VERB
fcis-29385	65	7	to	to	PART
fcis-29385	65	8	improve	improve	VERB
fcis-29385	65	9	the	the	DET
fcis-29385	65	10	signal	signal	NOUN
fcis-29385	65	11	-	-	PUNCT
fcis-29385	65	12	to	to	ADP
fcis-29385	65	13	-	-	PUNCT
fcis-29385	65	14	noise	noise	NOUN
fcis-29385	65	15	ratio	ratio	NOUN
fcis-29385	65	16	of	of	ADP
fcis-29385	65	17	the	the	DET
fcis-29385	65	18	spectrum[12	spectrum[12	NOUN
fcis-29385	65	19	]	]	X
fcis-29385	65	20	.	.	PUNCT
fcis-29385	66	1	msc	msc	PROPN
fcis-29385	66	2	and	and	CCONJ
fcis-29385	66	3	snv	snv	PROPN
fcis-29385	66	4	methods	method	NOUN
fcis-29385	66	5	can	can	AUX
fcis-29385	66	6	eliminate	eliminate	VERB
fcis-29385	66	7	overlay	overlay	NOUN
fcis-29385	66	8	effects	effect	NOUN
fcis-29385	66	9	and	and	CCONJ
fcis-29385	66	10	multiplicative	multiplicative	ADJ
fcis-29385	66	11	effects	effect	NOUN
fcis-29385	66	12	in	in	ADP
fcis-29385	66	13	the	the	DET
fcis-29385	66	14	spectrum	spectrum	NOUN
fcis-29385	66	15	,	,	PUNCT
fcis-29385	66	16	and	and	CCONJ
fcis-29385	66	17	they	they	PRON
fcis-29385	66	18	are	be	AUX
fcis-29385	66	19	widely	widely	ADV
fcis-29385	66	20	used	use	VERB
fcis-29385	66	21	scattering	scatter	VERB
fcis-29385	66	22	correction	correction	NOUN
fcis-29385	66	23	techniques	technique	NOUN
fcis-29385	66	24	in	in	ADP
fcis-29385	66	25	near	near	ADV
fcis-29385	66	26	-	-	PUNCT
fcis-29385	66	27	infrared	infrared	ADJ
fcis-29385	66	28	spectroscopy[13	spectroscopy[13	NOUN
fcis-29385	66	29	]	]	PUNCT
fcis-29385	66	30	.	.	PUNCT
fcis-29385	67	1	the	the	DET
fcis-29385	67	2	fd	fd	PROPN
fcis-29385	67	3	method	method	NOUN
fcis-29385	67	4	can	can	AUX
fcis-29385	67	5	remove	remove	VERB
fcis-29385	67	6	constant	constant	ADJ
fcis-29385	67	7	baseline	baseline	NOUN
fcis-29385	67	8	drift[14	drift[14	PROPN
fcis-29385	67	9	]	]	PUNCT
fcis-29385	67	10	.	.	PUNCT
fcis-29385	68	1	91	91	NUM
fcis-29385	68	2	2.3.3	2.3.3	NUM
fcis-29385	68	3	.	.	PUNCT
fcis-29385	69	1	feature	feature	NOUN
fcis-29385	69	2	processing	processing	NOUN
fcis-29385	69	3	algorithm	algorithm	NOUN
fcis-29385	69	4	dimensionality	dimensionality	NOUN
fcis-29385	69	5	reduction	reduction	NOUN
fcis-29385	69	6	of	of	ADP
fcis-29385	69	7	the	the	DET
fcis-29385	69	8	original	original	ADJ
fcis-29385	69	9	data	datum	NOUN
fcis-29385	69	10	and	and	CCONJ
fcis-29385	69	11	feature	feature	NOUN
fcis-29385	69	12	band	band	NOUN
fcis-29385	69	13	extraction	extraction	NOUN
fcis-29385	69	14	can	can	AUX
fcis-29385	69	15	reduce	reduce	VERB
fcis-29385	69	16	the	the	DET
fcis-29385	69	17	data	datum	NOUN
fcis-29385	69	18	processing	processing	NOUN
fcis-29385	69	19	workload	workload	NOUN
fcis-29385	69	20	and	and	CCONJ
fcis-29385	69	21	improve	improve	VERB
fcis-29385	69	22	analysis	analysis	NOUN
fcis-29385	69	23	efficiency	efficiency	NOUN
fcis-29385	69	24	while	while	SCONJ
fcis-29385	69	25	ensuring	ensure	VERB
fcis-29385	69	26	good	good	ADJ
fcis-29385	69	27	analytical	analytical	ADJ
fcis-29385	69	28	results	result	NOUN
fcis-29385	69	29	.	.	PUNCT
fcis-29385	70	1	feature	feature	NOUN
fcis-29385	70	2	processing	processing	NOUN
fcis-29385	70	3	algorithms	algorithm	NOUN
fcis-29385	70	4	are	be	AUX
fcis-29385	70	5	primarily	primarily	ADV
fcis-29385	70	6	divided	divide	VERB
fcis-29385	70	7	into	into	ADP
fcis-29385	70	8	two	two	NUM
fcis-29385	70	9	categories	category	NOUN
fcis-29385	70	10	:	:	PUNCT
fcis-29385	70	11	feature	feature	NOUN
fcis-29385	70	12	selection	selection	NOUN
fcis-29385	70	13	and	and	CCONJ
fcis-29385	70	14	feature	feature	NOUN
fcis-29385	70	15	extraction	extraction	NOUN
fcis-29385	70	16	.	.	PUNCT
fcis-29385	71	1	feature	feature	NOUN
fcis-29385	71	2	selection	selection	NOUN
fcis-29385	71	3	directly	directly	ADV
fcis-29385	71	4	selects	select	VERB
fcis-29385	71	5	from	from	ADP
fcis-29385	71	6	the	the	DET
fcis-29385	71	7	original	original	ADJ
fcis-29385	71	8	variables	variable	NOUN
fcis-29385	71	9	to	to	PART
fcis-29385	71	10	obtain	obtain	VERB
fcis-29385	71	11	the	the	DET
fcis-29385	71	12	feature	feature	NOUN
fcis-29385	71	13	variables	variable	NOUN
fcis-29385	71	14	,	,	PUNCT
fcis-29385	71	15	while	while	SCONJ
fcis-29385	71	16	feature	feature	NOUN
fcis-29385	71	17	extraction	extraction	NOUN
fcis-29385	71	18	involves	involve	VERB
fcis-29385	71	19	rearranging	rearrange	VERB
fcis-29385	71	20	and	and	CCONJ
fcis-29385	71	21	recombining	recombine	VERB
fcis-29385	71	22	the	the	DET
fcis-29385	71	23	original	original	ADJ
fcis-29385	71	24	variables	variable	NOUN
fcis-29385	71	25	to	to	PART
fcis-29385	71	26	generate	generate	VERB
fcis-29385	71	27	new	new	ADJ
fcis-29385	71	28	feature	feature	NOUN
fcis-29385	71	29	variables	variable	NOUN
fcis-29385	71	30	.	.	PUNCT
fcis-29385	72	1	in	in	ADP
fcis-29385	72	2	this	this	DET
fcis-29385	72	3	study	study	NOUN
fcis-29385	72	4	,	,	PUNCT
fcis-29385	72	5	the	the	DET
fcis-29385	72	6	cars	car	NOUN
fcis-29385	72	7	[	[	X
fcis-29385	72	8	15]algorithm	15]algorithm	NUM
fcis-29385	72	9	from	from	ADP
fcis-29385	72	10	feature	feature	NOUN
fcis-29385	72	11	selection	selection	NOUN
fcis-29385	72	12	and	and	CCONJ
fcis-29385	72	13	the	the	DET
fcis-29385	72	14	pca[16	pca[16	NOUN
fcis-29385	72	15	]	]	PUNCT
fcis-29385	72	16	algorithm	algorithm	NOUN
fcis-29385	72	17	from	from	ADP
fcis-29385	72	18	feature	feature	NOUN
fcis-29385	72	19	extraction	extraction	NOUN
fcis-29385	72	20	are	be	AUX
fcis-29385	72	21	compared	compare	VERB
fcis-29385	72	22	.	.	PUNCT
fcis-29385	73	1	2.3.4	2.3.4	X
fcis-29385	73	2	.	.	PUNCT
fcis-29385	73	3	classification	classification	NOUN
fcis-29385	73	4	algorithms	algorithm	NOUN
fcis-29385	73	5	support	support	VERB
fcis-29385	73	6	vector	vector	NOUN
fcis-29385	73	7	machine	machine	NOUN
fcis-29385	73	8	(	(	PUNCT
fcis-29385	73	9	svm)[17	svm)[17	PROPN
fcis-29385	73	10	]	]	X
fcis-29385	73	11	,	,	PUNCT
fcis-29385	73	12	k	k	X
fcis-29385	73	13	-	-	PUNCT
fcis-29385	73	14	nearest	near	ADJ
fcis-29385	73	15	neighbors	neighbor	NOUN
fcis-29385	73	16	(	(	PUNCT
fcis-29385	73	17	knn)[18	knn)[18	PROPN
fcis-29385	73	18	]	]	X
fcis-29385	73	19	,	,	PUNCT
fcis-29385	73	20	and	and	CCONJ
fcis-29385	73	21	random	random	ADJ
fcis-29385	73	22	forest	forest	NOUN
fcis-29385	73	23	(	(	PUNCT
fcis-29385	73	24	rf)[19	rf)[19	NOUN
fcis-29385	73	25	]	]	PUNCT
fcis-29385	73	26	are	be	AUX
fcis-29385	73	27	commonly	commonly	ADV
fcis-29385	73	28	used	use	VERB
fcis-29385	73	29	classification	classification	NOUN
fcis-29385	73	30	algorithms	algorithm	NOUN
fcis-29385	73	31	.	.	PUNCT
fcis-29385	74	1	svm	svm	PROPN
fcis-29385	74	2	can	can	AUX
fcis-29385	74	3	achieve	achieve	VERB
fcis-29385	74	4	satisfactory	satisfactory	ADJ
fcis-29385	74	5	classification	classification	NOUN
fcis-29385	74	6	results	result	NOUN
fcis-29385	74	7	by	by	ADP
fcis-29385	74	8	selecting	select	VERB
fcis-29385	74	9	appropriate	appropriate	ADJ
fcis-29385	74	10	kernel	kernel	NOUN
fcis-29385	74	11	functions	function	NOUN
fcis-29385	74	12	and	and	CCONJ
fcis-29385	74	13	parameters	parameter	NOUN
fcis-29385	74	14	.	.	PUNCT
fcis-29385	75	1	the	the	DET
fcis-29385	75	2	knn	knn	PROPN
fcis-29385	75	3	method	method	NOUN
fcis-29385	75	4	is	be	AUX
fcis-29385	75	5	often	often	ADV
fcis-29385	75	6	used	use	VERB
fcis-29385	75	7	to	to	PART
fcis-29385	75	8	solve	solve	VERB
fcis-29385	75	9	supervised	supervised	ADJ
fcis-29385	75	10	classification	classification	NOUN
fcis-29385	75	11	problems	problem	NOUN
fcis-29385	75	12	;	;	PUNCT
fcis-29385	75	13	its	its	PRON
fcis-29385	75	14	principle	principle	NOUN
fcis-29385	75	15	is	be	AUX
fcis-29385	75	16	simple	simple	ADJ
fcis-29385	75	17	,	,	PUNCT
fcis-29385	75	18	and	and	CCONJ
fcis-29385	75	19	the	the	DET
fcis-29385	75	20	results	result	NOUN
fcis-29385	75	21	are	be	AUX
fcis-29385	75	22	closely	closely	ADV
fcis-29385	75	23	related	relate	VERB
fcis-29385	75	24	to	to	ADP
fcis-29385	75	25	the	the	DET
fcis-29385	75	26	choice	choice	NOUN
fcis-29385	75	27	of	of	ADP
fcis-29385	75	28	the	the	DET
fcis-29385	75	29	parameter	parameter	NOUN
fcis-29385	75	30	k.	k.	PROPN
fcis-29385	76	1	rf	rf	PROPN
fcis-29385	76	2	is	be	AUX
fcis-29385	76	3	a	a	DET
fcis-29385	76	4	classification	classification	NOUN
fcis-29385	76	5	method	method	NOUN
fcis-29385	76	6	that	that	PRON
fcis-29385	76	7	trains	train	VERB
fcis-29385	76	8	samples	sample	NOUN
fcis-29385	76	9	using	use	VERB
fcis-29385	76	10	multiple	multiple	ADJ
fcis-29385	76	11	decision	decision	NOUN
fcis-29385	76	12	trees	tree	NOUN
fcis-29385	76	13	and	and	CCONJ
fcis-29385	76	14	makes	make	VERB
fcis-29385	76	15	predictions	prediction	NOUN
fcis-29385	76	16	.	.	PUNCT
fcis-29385	77	1	it	it	PRON
fcis-29385	77	2	introduces	introduce	VERB
fcis-29385	77	3	a	a	DET
fcis-29385	77	4	mechanism	mechanism	NOUN
fcis-29385	77	5	of	of	ADP
fcis-29385	77	6	randomly	randomly	ADV
fcis-29385	77	7	selecting	select	VERB
fcis-29385	77	8	samples	sample	NOUN
fcis-29385	77	9	and	and	CCONJ
fcis-29385	77	10	features	feature	NOUN
fcis-29385	77	11	,	,	PUNCT
fcis-29385	77	12	making	make	VERB
fcis-29385	77	13	rf	rf	PRON
fcis-29385	77	14	less	less	ADV
fcis-29385	77	15	prone	prone	ADJ
fcis-29385	77	16	to	to	ADP
fcis-29385	77	17	overfitting	overfitte	VERB
fcis-29385	77	18	and	and	CCONJ
fcis-29385	77	19	providing	provide	VERB
fcis-29385	77	20	strong	strong	ADJ
fcis-29385	77	21	noise	noise	NOUN
fcis-29385	77	22	resistance	resistance	NOUN
fcis-29385	77	23	.	.	PUNCT
fcis-29385	78	1	2.4	2.4	NUM
fcis-29385	78	2	.	.	PUNCT
fcis-29385	78	3	model	model	NOUN
fcis-29385	78	4	evaluation	evaluation	NOUN
fcis-29385	78	5	the	the	DET
fcis-29385	78	6	confusion	confusion	NOUN
fcis-29385	78	7	matrix[20	matrix[20	PROPN
fcis-29385	78	8	]	]	PUNCT
fcis-29385	78	9	is	be	AUX
fcis-29385	78	10	commonly	commonly	ADV
fcis-29385	78	11	used	use	VERB
fcis-29385	78	12	for	for	ADP
fcis-29385	78	13	visualizing	visualize	VERB
fcis-29385	78	14	the	the	DET
fcis-29385	78	15	results	result	NOUN
fcis-29385	78	16	of	of	ADP
fcis-29385	78	17	a	a	DET
fcis-29385	78	18	classification	classification	NOUN
fcis-29385	78	19	model	model	NOUN
fcis-29385	78	20	.	.	PUNCT
fcis-29385	79	1	in	in	ADP
fcis-29385	79	2	a	a	DET
fcis-29385	79	3	confusion	confusion	NOUN
fcis-29385	79	4	matrix	matrix	NOUN
fcis-29385	79	5	,	,	PUNCT
fcis-29385	79	6	each	each	DET
fcis-29385	79	7	row	row	NOUN
fcis-29385	79	8	represents	represent	VERB
fcis-29385	79	9	the	the	DET
fcis-29385	79	10	true	true	ADJ
fcis-29385	79	11	class	class	NOUN
fcis-29385	79	12	of	of	ADP
fcis-29385	79	13	the	the	DET
fcis-29385	79	14	data	datum	NOUN
fcis-29385	79	15	,	,	PUNCT
fcis-29385	79	16	while	while	SCONJ
fcis-29385	79	17	each	each	DET
fcis-29385	79	18	column	column	NOUN
fcis-29385	79	19	represents	represent	VERB
fcis-29385	79	20	the	the	DET
fcis-29385	79	21	predicted	predict	VERB
fcis-29385	79	22	class	class	NOUN
fcis-29385	79	23	.	.	PUNCT
fcis-29385	80	1	the	the	DET
fcis-29385	80	2	color	color	NOUN
fcis-29385	80	3	blocks	block	NOUN
fcis-29385	80	4	on	on	ADP
fcis-29385	80	5	the	the	DET
fcis-29385	80	6	diagonal	diagonal	NOUN
fcis-29385	80	7	of	of	ADP
fcis-29385	80	8	the	the	DET
fcis-29385	80	9	matrix	matrix	NOUN
fcis-29385	80	10	indicate	indicate	VERB
fcis-29385	80	11	correct	correct	ADJ
fcis-29385	80	12	classifications	classification	NOUN
fcis-29385	80	13	,	,	PUNCT
fcis-29385	80	14	where	where	SCONJ
fcis-29385	80	15	the	the	DET
fcis-29385	80	16	predicted	predict	VERB
fcis-29385	80	17	class	class	NOUN
fcis-29385	80	18	matches	match	VERB
fcis-29385	80	19	the	the	DET
fcis-29385	80	20	true	true	ADJ
fcis-29385	80	21	class	class	NOUN
fcis-29385	80	22	.	.	PUNCT
fcis-29385	81	1	accuracy[21	accuracy[21	PROPN
fcis-29385	81	2	]	]	PUNCT
fcis-29385	81	3	is	be	AUX
fcis-29385	81	4	one	one	NUM
fcis-29385	81	5	of	of	ADP
fcis-29385	81	6	the	the	DET
fcis-29385	81	7	most	most	ADV
fcis-29385	81	8	commonly	commonly	ADV
fcis-29385	81	9	used	use	VERB
fcis-29385	81	10	evaluation	evaluation	NOUN
fcis-29385	81	11	metrics	metric	NOUN
fcis-29385	81	12	in	in	ADP
fcis-29385	81	13	classification	classification	NOUN
fcis-29385	81	14	models	model	NOUN
fcis-29385	81	15	,	,	PUNCT
fcis-29385	81	16	and	and	CCONJ
fcis-29385	81	17	it	it	PRON
fcis-29385	81	18	represents	represent	VERB
fcis-29385	81	19	the	the	DET
fcis-29385	81	20	proportion	proportion	NOUN
fcis-29385	81	21	of	of	ADP
fcis-29385	81	22	correctly	correctly	ADV
fcis-29385	81	23	classified	classify	VERB
fcis-29385	81	24	samples	sample	NOUN
fcis-29385	81	25	to	to	ADP
fcis-29385	81	26	the	the	DET
fcis-29385	81	27	total	total	ADJ
fcis-29385	81	28	number	number	NOUN
fcis-29385	81	29	of	of	ADP
fcis-29385	81	30	samples	sample	NOUN
fcis-29385	81	31	.	.	PUNCT
fcis-29385	82	1	the	the	DET
fcis-29385	82	2	formula	formula	NOUN
fcis-29385	82	3	for	for	ADP
fcis-29385	82	4	calculating	calculate	VERB
fcis-29385	82	5	accuracy	accuracy	NOUN
fcis-29385	82	6	is	be	AUX
fcis-29385	82	7	as	as	SCONJ
fcis-29385	82	8	follows	follow	VERB
fcis-29385	82	9	:	:	PUNCT
fcis-29385	82	10	_	_	PRON
fcis-29385	82	11	where	where	SCONJ
fcis-29385	82	12	tp	tp	NOUN
fcis-29385	82	13	represents	represent	VERB
fcis-29385	82	14	true	true	ADJ
fcis-29385	82	15	positives	positive	NOUN
fcis-29385	82	16	,	,	PUNCT
fcis-29385	82	17	tn	tn	PROPN
fcis-29385	82	18	represents	represent	VERB
fcis-29385	82	19	true	true	ADJ
fcis-29385	82	20	negatives	negative	NOUN
fcis-29385	82	21	,	,	PUNCT
fcis-29385	82	22	fp	fp	X
fcis-29385	82	23	represents	represent	VERB
fcis-29385	82	24	false	false	ADJ
fcis-29385	82	25	positives	positive	NOUN
fcis-29385	82	26	,	,	PUNCT
fcis-29385	82	27	and	and	CCONJ
fcis-29385	82	28	fn	fn	NOUN
fcis-29385	82	29	represents	represent	VERB
fcis-29385	82	30	false	false	ADJ
fcis-29385	82	31	negatives	negative	NOUN
fcis-29385	82	32	.	.	PUNCT
fcis-29385	83	1	when	when	SCONJ
fcis-29385	83	2	the	the	DET
fcis-29385	83	3	class	class	NOUN
fcis-29385	83	4	distribution	distribution	NOUN
fcis-29385	83	5	of	of	ADP
fcis-29385	83	6	sample	sample	NOUN
fcis-29385	83	7	data	datum	NOUN
fcis-29385	83	8	is	be	AUX
fcis-29385	83	9	imbalanced	imbalance	VERB
fcis-29385	83	10	,	,	PUNCT
fcis-29385	83	11	accuracy	accuracy	NOUN
fcis-29385	83	12	may	may	AUX
fcis-29385	83	13	not	not	PART
fcis-29385	83	14	fully	fully	ADV
fcis-29385	83	15	assess	assess	VERB
fcis-29385	83	16	the	the	DET
fcis-29385	83	17	model	model	NOUN
fcis-29385	83	18	's	's	PART
fcis-29385	83	19	performance	performance	NOUN
fcis-29385	83	20	.	.	PUNCT
fcis-29385	84	1	it	it	PRON
fcis-29385	84	2	is	be	AUX
fcis-29385	84	3	possible	possible	ADJ
fcis-29385	84	4	to	to	PART
fcis-29385	84	5	have	have	VERB
fcis-29385	84	6	a	a	DET
fcis-29385	84	7	high	high	ADJ
fcis-29385	84	8	accuracy	accuracy	NOUN
fcis-29385	84	9	,	,	PUNCT
fcis-29385	84	10	but	but	CCONJ
fcis-29385	84	11	still	still	ADV
fcis-29385	84	12	misclassify	misclassify	VERB
fcis-29385	84	13	all	all	DET
fcis-29385	84	14	samples	sample	NOUN
fcis-29385	84	15	of	of	ADP
fcis-29385	84	16	the	the	DET
fcis-29385	84	17	minority	minority	NOUN
fcis-29385	84	18	class	class	NOUN
fcis-29385	84	19	.	.	PUNCT
fcis-29385	85	1	therefore	therefore	ADV
fcis-29385	85	2	,	,	PUNCT
fcis-29385	85	3	other	other	ADJ
fcis-29385	85	4	evaluation	evaluation	NOUN
fcis-29385	85	5	metrics	metric	NOUN
fcis-29385	85	6	should	should	AUX
fcis-29385	85	7	be	be	AUX
fcis-29385	85	8	considered	consider	VERB
fcis-29385	85	9	in	in	ADP
fcis-29385	85	10	combination	combination	NOUN
fcis-29385	85	11	.	.	PUNCT
fcis-29385	86	1	in	in	ADP
fcis-29385	86	2	imbalanced	imbalanced	ADJ
fcis-29385	86	3	classification	classification	NOUN
fcis-29385	86	4	problems	problem	NOUN
fcis-29385	86	5	,	,	PUNCT
fcis-29385	86	6	the	the	DET
fcis-29385	86	7	area	area	NOUN
fcis-29385	86	8	under	under	ADP
fcis-29385	86	9	the	the	DET
fcis-29385	86	10	receiver	receiver	NOUN
fcis-29385	86	11	operating	operate	VERB
fcis-29385	86	12	characteristic	characteristic	NOUN
fcis-29385	86	13	(	(	PUNCT
fcis-29385	86	14	roc	roc	PROPN
fcis-29385	86	15	)	)	PUNCT
fcis-29385	86	16	curve	curve	NOUN
fcis-29385	86	17	(	(	PUNCT
fcis-29385	86	18	auc	auc	NOUN
fcis-29385	86	19	)	)	PUNCT
fcis-29385	86	20	is	be	AUX
fcis-29385	86	21	a	a	DET
fcis-29385	86	22	widely	widely	ADV
fcis-29385	86	23	used	use	VERB
fcis-29385	86	24	method	method	NOUN
fcis-29385	86	25	for	for	ADP
fcis-29385	86	26	evaluating	evaluate	VERB
fcis-29385	86	27	the	the	DET
fcis-29385	86	28	performance	performance	NOUN
fcis-29385	86	29	of	of	ADP
fcis-29385	86	30	classification	classification	NOUN
fcis-29385	86	31	models	model	NOUN
fcis-29385	86	32	,	,	PUNCT
fcis-29385	86	33	as	as	SCONJ
fcis-29385	86	34	it	it	PRON
fcis-29385	86	35	is	be	AUX
fcis-29385	86	36	not	not	PART
fcis-29385	86	37	affected	affect	VERB
fcis-29385	86	38	by	by	ADP
fcis-29385	86	39	the	the	DET
fcis-29385	86	40	distribution	distribution	NOUN
fcis-29385	86	41	of	of	ADP
fcis-29385	86	42	positive	positive	ADJ
fcis-29385	86	43	and	and	CCONJ
fcis-29385	86	44	negative	negative	ADJ
fcis-29385	86	45	samples[22	samples[22	NOUN
fcis-29385	86	46	]	]	PUNCT
fcis-29385	86	47	.	.	PUNCT
fcis-29385	87	1	the	the	DET
fcis-29385	87	2	roc	roc	PROPN
fcis-29385	87	3	curve	curve	NOUN
fcis-29385	87	4	plots	plot	VERB
fcis-29385	87	5	the	the	DET
fcis-29385	87	6	false	false	ADJ
fcis-29385	87	7	positive	positive	ADJ
fcis-29385	87	8	rate	rate	NOUN
fcis-29385	87	9	(	(	PUNCT
fcis-29385	87	10	fpr	fpr	NOUN
fcis-29385	87	11	)	)	PUNCT
fcis-29385	87	12	on	on	ADP
fcis-29385	87	13	the	the	DET
fcis-29385	87	14	x	x	NOUN
fcis-29385	87	15	-	-	NOUN
fcis-29385	87	16	axis	axis	NOUN
fcis-29385	87	17	and	and	CCONJ
fcis-29385	87	18	the	the	DET
fcis-29385	87	19	true	true	ADJ
fcis-29385	87	20	positive	positive	ADJ
fcis-29385	87	21	rate	rate	NOUN
fcis-29385	87	22	(	(	PUNCT
fcis-29385	87	23	tpr	tpr	NOUN
fcis-29385	87	24	)	)	PUNCT
fcis-29385	87	25	on	on	ADP
fcis-29385	87	26	the	the	DET
fcis-29385	87	27	y	y	NOUN
fcis-29385	87	28	-	-	PUNCT
fcis-29385	87	29	axis	axis	NOUN
fcis-29385	87	30	,	,	PUNCT
fcis-29385	87	31	providing	provide	VERB
fcis-29385	87	32	a	a	DET
fcis-29385	87	33	visual	visual	ADJ
fcis-29385	87	34	representation	representation	NOUN
fcis-29385	87	35	of	of	ADP
fcis-29385	87	36	the	the	DET
fcis-29385	87	37	model	model	NOUN
fcis-29385	87	38	's	's	PART
fcis-29385	87	39	performance	performance	NOUN
fcis-29385	87	40	at	at	ADP
fcis-29385	87	41	different	different	ADJ
fcis-29385	87	42	thresholds	threshold	NOUN
fcis-29385	87	43	.	.	PUNCT
fcis-29385	88	1	the	the	PRON
fcis-29385	88	2	closer	close	ADV
fcis-29385	88	3	the	the	DET
fcis-29385	88	4	auc	auc	NOUN
fcis-29385	88	5	value	value	NOUN
fcis-29385	88	6	is	be	AUX
fcis-29385	88	7	to	to	ADP
fcis-29385	88	8	1	1	NUM
fcis-29385	88	9	,	,	PUNCT
fcis-29385	88	10	the	the	PRON
fcis-29385	88	11	better	well	ADJ
fcis-29385	88	12	the	the	DET
fcis-29385	88	13	classification	classification	NOUN
fcis-29385	88	14	model	model	NOUN
fcis-29385	88	15	's	's	PART
fcis-29385	88	16	performance	performance	NOUN
fcis-29385	88	17	.	.	PUNCT
fcis-29385	89	1	3	3	X
fcis-29385	89	2	.	.	X
fcis-29385	89	3	results	result	NOUN
fcis-29385	89	4	and	and	CCONJ
fcis-29385	89	5	discussion	discussion	NOUN
fcis-29385	89	6	3.1	3.1	NUM
fcis-29385	89	7	.	.	PUNCT
fcis-29385	90	1	spectral	spectral	ADJ
fcis-29385	90	2	features	feature	NOUN
fcis-29385	90	3	we	we	PRON
fcis-29385	90	4	plot	plot	VERB
fcis-29385	90	5	the	the	DET
fcis-29385	90	6	data	datum	NOUN
fcis-29385	90	7	exported	export	VERB
fcis-29385	90	8	from	from	ADP
fcis-29385	90	9	the	the	DET
fcis-29385	90	10	spectrometer	spectrometer	NOUN
fcis-29385	90	11	as	as	ADP
fcis-29385	90	12	raw	raw	ADJ
fcis-29385	90	13	spectra	spectra	NOUN
fcis-29385	90	14	.	.	PUNCT
fcis-29385	91	1	to	to	PART
fcis-29385	91	2	eliminate	eliminate	VERB
fcis-29385	91	3	the	the	DET
fcis-29385	91	4	absolute	absolute	ADJ
fcis-29385	91	5	intensity	intensity	NOUN
fcis-29385	91	6	differences	difference	NOUN
fcis-29385	91	7	and	and	CCONJ
fcis-29385	91	8	highlight	highlight	VERB
fcis-29385	91	9	the	the	DET
fcis-29385	91	10	relative	relative	ADJ
fcis-29385	91	11	variations	variation	NOUN
fcis-29385	91	12	in	in	ADP
fcis-29385	91	13	the	the	DET
fcis-29385	91	14	data	datum	NOUN
fcis-29385	91	15	,	,	PUNCT
fcis-29385	91	16	we	we	PRON
fcis-29385	91	17	choose	choose	VERB
fcis-29385	91	18	to	to	PART
fcis-29385	91	19	normalize	normalize	VERB
fcis-29385	91	20	the	the	DET
fcis-29385	91	21	raw	raw	ADJ
fcis-29385	91	22	spectra	spectra	NOUN
fcis-29385	91	23	using	use	VERB
fcis-29385	91	24	the	the	DET
fcis-29385	91	25	maximum	maximum	ADJ
fcis-29385	91	26	value	value	NOUN
fcis-29385	91	27	normalization	normalization	NOUN
fcis-29385	91	28	method	method	NOUN
fcis-29385	91	29	.	.	PUNCT
fcis-29385	92	1	figure	figure	NOUN
fcis-29385	92	2	3	3	NUM
fcis-29385	92	3	shows	show	VERB
fcis-29385	92	4	the	the	DET
fcis-29385	92	5	spectral	spectral	ADJ
fcis-29385	92	6	diagram	diagram	NOUN
fcis-29385	92	7	obtained	obtain	VERB
fcis-29385	92	8	after	after	ADP
fcis-29385	92	9	normalizing	normalize	VERB
fcis-29385	92	10	all	all	DET
fcis-29385	92	11	spectral	spectral	ADJ
fcis-29385	92	12	data	datum	NOUN
fcis-29385	92	13	.	.	PUNCT
fcis-29385	93	1	figure	figure	NOUN
fcis-29385	93	2	4	4	NUM
fcis-29385	93	3	shows	show	VERB
fcis-29385	93	4	the	the	DET
fcis-29385	93	5	average	average	ADJ
fcis-29385	93	6	spectrum	spectrum	NOUN
fcis-29385	93	7	for	for	ADP
fcis-29385	93	8	each	each	DET
fcis-29385	93	9	fiber	fiber	NOUN
fcis-29385	93	10	type	type	NOUN
fcis-29385	93	11	.	.	PUNCT
fcis-29385	94	1	fig	fig	NOUN
fcis-29385	94	2	3	3	NUM
fcis-29385	94	3	.	.	PUNCT
fcis-29385	94	4	normalized	normalize	VERB
fcis-29385	94	5	spectra	spectra	NOUN
fcis-29385	94	6	of	of	ADP
fcis-29385	94	7	different	different	ADJ
fcis-29385	94	8	fiber	fiber	NOUN
fcis-29385	94	9	types	type	NOUN
fcis-29385	94	10	fig	fig	VERB
fcis-29385	94	11	4	4	NUM
fcis-29385	94	12	.	.	PUNCT
fcis-29385	95	1	average	average	ADJ
fcis-29385	95	2	spectra	spectra	NOUN
fcis-29385	95	3	of	of	ADP
fcis-29385	95	4	different	different	ADJ
fcis-29385	95	5	fiber	fiber	NOUN
fcis-29385	95	6	types	type	NOUN
fcis-29385	95	7	92	92	NUM
fcis-29385	95	8	from	from	ADP
fcis-29385	95	9	the	the	DET
fcis-29385	95	10	raw	raw	ADJ
fcis-29385	95	11	spectral	spectral	ADJ
fcis-29385	95	12	curves	curve	NOUN
fcis-29385	95	13	,	,	PUNCT
fcis-29385	95	14	it	it	PRON
fcis-29385	95	15	can	can	AUX
fcis-29385	95	16	be	be	AUX
fcis-29385	95	17	observed	observe	VERB
fcis-29385	95	18	that	that	SCONJ
fcis-29385	95	19	the	the	DET
fcis-29385	95	20	baseline	baseline	NOUN
fcis-29385	95	21	drift	drift	NOUN
fcis-29385	95	22	in	in	ADP
fcis-29385	95	23	the	the	DET
fcis-29385	95	24	fiber	fiber	NOUN
fcis-29385	95	25	sample	sample	NOUN
fcis-29385	95	26	spectra	spectra	NOUN
fcis-29385	95	27	is	be	AUX
fcis-29385	95	28	quite	quite	ADV
fcis-29385	95	29	significant	significant	ADJ
fcis-29385	95	30	,	,	PUNCT
fcis-29385	95	31	and	and	CCONJ
fcis-29385	95	32	the	the	DET
fcis-29385	95	33	spectral	spectral	ADJ
fcis-29385	95	34	fluctuations	fluctuation	NOUN
fcis-29385	95	35	for	for	ADP
fcis-29385	95	36	samples	sample	NOUN
fcis-29385	95	37	with	with	ADP
fcis-29385	95	38	the	the	DET
fcis-29385	95	39	same	same	ADJ
fcis-29385	95	40	composition	composition	NOUN
fcis-29385	95	41	are	be	AUX
fcis-29385	95	42	large	large	ADJ
fcis-29385	95	43	.	.	PUNCT
fcis-29385	96	1	although	although	SCONJ
fcis-29385	96	2	these	these	DET
fcis-29385	96	3	issues	issue	NOUN
fcis-29385	96	4	increase	increase	VERB
fcis-29385	96	5	the	the	DET
fcis-29385	96	6	difficulty	difficulty	NOUN
fcis-29385	96	7	of	of	ADP
fcis-29385	96	8	sample	sample	NOUN
fcis-29385	96	9	classification	classification	NOUN
fcis-29385	96	10	,	,	PUNCT
fcis-29385	96	11	properly	properly	ADV
fcis-29385	96	12	handling	handle	VERB
fcis-29385	96	13	spectral	spectral	ADJ
fcis-29385	96	14	drift	drift	NOUN
fcis-29385	96	15	and	and	CCONJ
fcis-29385	96	16	fluctuations	fluctuation	NOUN
fcis-29385	96	17	can	can	AUX
fcis-29385	96	18	enhance	enhance	VERB
fcis-29385	96	19	the	the	DET
fcis-29385	96	20	robustness	robustness	NOUN
fcis-29385	96	21	of	of	ADP
fcis-29385	96	22	the	the	DET
fcis-29385	96	23	classification	classification	NOUN
fcis-29385	96	24	model	model	NOUN
fcis-29385	96	25	,	,	PUNCT
fcis-29385	96	26	reduce	reduce	VERB
fcis-29385	96	27	noise	noise	NOUN
fcis-29385	96	28	interference	interference	NOUN
fcis-29385	96	29	,	,	PUNCT
fcis-29385	96	30	and	and	CCONJ
fcis-29385	96	31	uncover	uncover	VERB
fcis-29385	96	32	potential	potential	ADJ
fcis-29385	96	33	information	information	NOUN
fcis-29385	96	34	,	,	PUNCT
fcis-29385	96	35	thereby	thereby	ADV
fcis-29385	96	36	improving	improve	VERB
fcis-29385	96	37	the	the	DET
fcis-29385	96	38	scientific	scientific	ADJ
fcis-29385	96	39	validity	validity	NOUN
fcis-29385	96	40	and	and	CCONJ
fcis-29385	96	41	accuracy	accuracy	NOUN
fcis-29385	96	42	of	of	ADP
fcis-29385	96	43	the	the	DET
fcis-29385	96	44	classification	classification	NOUN
fcis-29385	96	45	.	.	PUNCT
fcis-29385	97	1	from	from	ADP
fcis-29385	97	2	the	the	DET
fcis-29385	97	3	average	average	ADJ
fcis-29385	97	4	spectral	spectral	ADJ
fcis-29385	97	5	curves	curve	NOUN
fcis-29385	97	6	,	,	PUNCT
fcis-29385	97	7	it	it	PRON
fcis-29385	97	8	is	be	AUX
fcis-29385	97	9	evident	evident	ADJ
fcis-29385	97	10	that	that	SCONJ
fcis-29385	97	11	the	the	DET
fcis-29385	97	12	spectra	spectra	NOUN
fcis-29385	97	13	of	of	ADP
fcis-29385	97	14	different	different	ADJ
fcis-29385	97	15	fiber	fiber	NOUN
fcis-29385	97	16	samples	sample	NOUN
fcis-29385	97	17	show	show	VERB
fcis-29385	97	18	variability	variability	NOUN
fcis-29385	97	19	,	,	PUNCT
fcis-29385	97	20	which	which	PRON
fcis-29385	97	21	lays	lay	VERB
fcis-29385	97	22	the	the	DET
fcis-29385	97	23	foundation	foundation	NOUN
fcis-29385	97	24	for	for	ADP
fcis-29385	97	25	the	the	DET
fcis-29385	97	26	classification	classification	NOUN
fcis-29385	97	27	model	model	NOUN
fcis-29385	97	28	.	.	PUNCT
fcis-29385	98	1	3.2	3.2	NUM
fcis-29385	98	2	.	.	X
fcis-29385	99	1	10	10	NUM
fcis-29385	99	2	-	-	ADJ
fcis-29385	99	3	fold	fold	ADJ
fcis-29385	99	4	cross	cross	NOUN
fcis-29385	99	5	-	-	NOUN
fcis-29385	99	6	validation	validation	NOUN
fcis-29385	99	7	to	to	PART
fcis-29385	99	8	evaluate	evaluate	VERB
fcis-29385	99	9	the	the	DET
fcis-29385	99	10	performance	performance	NOUN
fcis-29385	99	11	of	of	ADP
fcis-29385	99	12	different	different	ADJ
fcis-29385	99	13	data	datum	NOUN
fcis-29385	99	14	preprocessing	preprocesse	VERB
fcis-29385	99	15	algorithms	algorithm	NOUN
fcis-29385	99	16	(	(	PUNCT
fcis-29385	99	17	sg	sg	PROPN
fcis-29385	99	18	,	,	PUNCT
fcis-29385	99	19	msc	msc	PROPN
fcis-29385	99	20	,	,	PUNCT
fcis-29385	99	21	snv	snv	PROPN
fcis-29385	99	22	,	,	PUNCT
fcis-29385	99	23	sgfd	sgfd	NOUN
fcis-29385	99	24	,	,	PUNCT
fcis-29385	99	25	mscfd	mscfd	NOUN
fcis-29385	99	26	,	,	PUNCT
fcis-29385	99	27	snvfd	snvfd	PROPN
fcis-29385	99	28	)	)	PUNCT
fcis-29385	99	29	and	and	CCONJ
fcis-29385	99	30	classification	classification	NOUN
fcis-29385	99	31	algorithms	algorithm	NOUN
fcis-29385	99	32	(	(	PUNCT
fcis-29385	99	33	svm	svm	PROPN
fcis-29385	99	34	,	,	PUNCT
fcis-29385	99	35	knn	knn	PROPN
fcis-29385	99	36	,	,	PUNCT
fcis-29385	99	37	rf	rf	PROPN
fcis-29385	99	38	)	)	PUNCT
fcis-29385	99	39	,	,	PUNCT
fcis-29385	100	1	the	the	DET
fcis-29385	100	2	869	869	NUM
fcis-29385	100	3	spectral	spectral	ADJ
fcis-29385	100	4	data	data	NOUN
fcis-29385	100	5	samples	sample	NOUN
fcis-29385	100	6	of	of	ADP
fcis-29385	100	7	the	the	DET
fcis-29385	100	8	five	five	NUM
fcis-29385	100	9	categories	category	NOUN
fcis-29385	100	10	were	be	AUX
fcis-29385	100	11	randomly	randomly	ADV
fcis-29385	100	12	split	split	VERB
fcis-29385	100	13	into	into	ADP
fcis-29385	100	14	training	training	NOUN
fcis-29385	100	15	and	and	CCONJ
fcis-29385	100	16	test	test	NOUN
fcis-29385	100	17	sets	set	NOUN
fcis-29385	100	18	,	,	PUNCT
fcis-29385	100	19	with	with	ADP
fcis-29385	100	20	a	a	DET
fcis-29385	100	21	training	training	NOUN
fcis-29385	100	22	-	-	PUNCT
fcis-29385	100	23	to	to	ADP
fcis-29385	100	24	-	-	PUNCT
fcis-29385	100	25	test	test	NOUN
fcis-29385	100	26	ratio	ratio	NOUN
fcis-29385	100	27	of	of	ADP
fcis-29385	100	28	8:2	8:2	NUM
fcis-29385	100	29	for	for	ADP
fcis-29385	100	30	each	each	DET
fcis-29385	100	31	category	category	NOUN
fcis-29385	100	32	.	.	PUNCT
fcis-29385	101	1	to	to	PART
fcis-29385	101	2	address	address	VERB
fcis-29385	101	3	the	the	DET
fcis-29385	101	4	issue	issue	NOUN
fcis-29385	101	5	of	of	ADP
fcis-29385	101	6	class	class	NOUN
fcis-29385	101	7	imbalance	imbalance	NOUN
fcis-29385	101	8	,	,	PUNCT
fcis-29385	101	9	the	the	DET
fcis-29385	101	10	smotetomek	smotetomek	NOUN
fcis-29385	101	11	combined	combine	VERB
fcis-29385	101	12	sampling	sampling	NOUN
fcis-29385	101	13	method	method	NOUN
fcis-29385	101	14	was	be	AUX
fcis-29385	101	15	used	use	VERB
fcis-29385	101	16	.	.	PUNCT
fcis-29385	102	1	after	after	ADP
fcis-29385	102	2	applying	apply	VERB
fcis-29385	102	3	the	the	DET
fcis-29385	102	4	method	method	NOUN
fcis-29385	102	5	,	,	PUNCT
fcis-29385	102	6	the	the	DET
fcis-29385	102	7	number	number	NOUN
fcis-29385	102	8	of	of	ADP
fcis-29385	102	9	samples	sample	NOUN
fcis-29385	102	10	for	for	ADP
fcis-29385	102	11	each	each	DET
fcis-29385	102	12	fiber	fiber	NOUN
fcis-29385	102	13	type	type	NOUN
fcis-29385	102	14	became	become	VERB
fcis-29385	102	15	:	:	PUNCT
fcis-29385	102	16	342	342	NUM
fcis-29385	102	17	polyester	polyester	NOUN
fcis-29385	102	18	,	,	PUNCT
fcis-29385	102	19	348	348	NUM
fcis-29385	102	20	linen	linen	NOUN
fcis-29385	102	21	-	-	PUNCT
fcis-29385	102	22	silk	silk	NOUN
fcis-29385	102	23	,	,	PUNCT
fcis-29385	102	24	344	344	NUM
fcis-29385	102	25	cotton	cotton	NOUN
fcis-29385	102	26	,	,	PUNCT
fcis-29385	102	27	346	346	NUM
fcis-29385	102	28	leather	leather	NOUN
fcis-29385	102	29	,	,	PUNCT
fcis-29385	102	30	and	and	CCONJ
fcis-29385	102	31	348	348	NUM
fcis-29385	102	32	wools	wool	NOUN
fcis-29385	102	33	.	.	PUNCT
fcis-29385	103	1	the	the	DET
fcis-29385	103	2	results	result	NOUN
fcis-29385	103	3	of	of	ADP
fcis-29385	103	4	10	10	NUM
fcis-29385	103	5	-	-	ADJ
fcis-29385	103	6	fold	fold	ADJ
fcis-29385	103	7	cross	cross	NOUN
fcis-29385	103	8	-	-	NOUN
fcis-29385	103	9	validation	validation	NOUN
fcis-29385	103	10	with	with	ADP
fcis-29385	103	11	and	and	CCONJ
fcis-29385	103	12	without	without	ADP
fcis-29385	103	13	sampling	sample	VERB
fcis-29385	103	14	,	,	PUNCT
fcis-29385	103	15	before	before	ADP
fcis-29385	103	16	and	and	CCONJ
fcis-29385	103	17	after	after	ADP
fcis-29385	103	18	data	data	NOUN
fcis-29385	103	19	preprocessing	preprocessing	NOUN
fcis-29385	103	20	,	,	PUNCT
fcis-29385	103	21	were	be	AUX
fcis-29385	103	22	compared	compare	VERB
fcis-29385	103	23	.	.	PUNCT
fcis-29385	104	1	the	the	DET
fcis-29385	104	2	specific	specific	ADJ
fcis-29385	104	3	results	result	NOUN
fcis-29385	104	4	are	be	AUX
fcis-29385	104	5	shown	show	VERB
fcis-29385	104	6	in	in	ADP
fcis-29385	104	7	tables	table	NOUN
fcis-29385	104	8	1	1	NUM
fcis-29385	104	9	,	,	PUNCT
fcis-29385	104	10	2	2	NUM
fcis-29385	104	11	,	,	PUNCT
fcis-29385	104	12	and	and	CCONJ
fcis-29385	104	13	3	3	X
fcis-29385	104	14	.	.	X
fcis-29385	105	1	the	the	DET
fcis-29385	105	2	classification	classification	NOUN
fcis-29385	105	3	algorithms	algorithm	NOUN
fcis-29385	105	4	were	be	AUX
fcis-29385	105	5	experimentally	experimentally	ADV
fcis-29385	105	6	tuned	tune	VERB
fcis-29385	105	7	to	to	PART
fcis-29385	105	8	obtain	obtain	VERB
fcis-29385	105	9	the	the	DET
fcis-29385	105	10	optimal	optimal	ADJ
fcis-29385	105	11	parameter	parameter	NOUN
fcis-29385	105	12	settings	setting	NOUN
fcis-29385	105	13	.	.	PUNCT
fcis-29385	106	1	generally	generally	ADV
fcis-29385	106	2	,	,	PUNCT
fcis-29385	106	3	traditional	traditional	ADJ
fcis-29385	106	4	auc	auc	NOUN
fcis-29385	106	5	calculation	calculation	NOUN
fcis-29385	106	6	methods	method	NOUN
fcis-29385	106	7	are	be	AUX
fcis-29385	106	8	applicable	applicable	ADJ
fcis-29385	106	9	to	to	ADP
fcis-29385	106	10	binary	binary	ADJ
fcis-29385	106	11	classification	classification	NOUN
fcis-29385	106	12	problems	problem	NOUN
fcis-29385	106	13	.	.	PUNCT
fcis-29385	107	1	however	however	ADV
fcis-29385	107	2	,	,	PUNCT
fcis-29385	107	3	in	in	ADP
fcis-29385	107	4	the	the	DET
fcis-29385	107	5	fiber	fiber	NOUN
fcis-29385	107	6	classification	classification	NOUN
fcis-29385	107	7	analysis	analysis	NOUN
fcis-29385	107	8	experiment	experiment	NOUN
fcis-29385	107	9	,	,	PUNCT
fcis-29385	107	10	there	there	PRON
fcis-29385	107	11	are	be	VERB
fcis-29385	107	12	five	five	NUM
fcis-29385	107	13	categories	category	NOUN
fcis-29385	107	14	.	.	PUNCT
fcis-29385	108	1	to	to	PART
fcis-29385	108	2	handle	handle	VERB
fcis-29385	108	3	this	this	DET
fcis-29385	108	4	multi	multi	ADJ
fcis-29385	108	5	-	-	ADJ
fcis-29385	108	6	class	class	ADJ
fcis-29385	108	7	scenario	scenario	NOUN
fcis-29385	108	8	,	,	PUNCT
fcis-29385	108	9	the	the	DET
fcis-29385	108	10	following	follow	VERB
fcis-29385	108	11	method	method	NOUN
fcis-29385	108	12	was	be	AUX
fcis-29385	108	13	adopted	adopt	VERB
fcis-29385	108	14	:	:	PUNCT
fcis-29385	108	15	each	each	DET
fcis-29385	108	16	category	category	NOUN
fcis-29385	108	17	was	be	AUX
fcis-29385	108	18	treated	treat	VERB
fcis-29385	108	19	as	as	ADP
fcis-29385	108	20	a	a	DET
fcis-29385	108	21	separate	separate	ADJ
fcis-29385	108	22	positive	positive	ADJ
fcis-29385	108	23	class	class	NOUN
fcis-29385	108	24	,	,	PUNCT
fcis-29385	108	25	while	while	SCONJ
fcis-29385	108	26	the	the	DET
fcis-29385	108	27	other	other	ADJ
fcis-29385	108	28	categories	category	NOUN
fcis-29385	108	29	were	be	AUX
fcis-29385	108	30	treated	treat	VERB
fcis-29385	108	31	as	as	ADP
fcis-29385	108	32	negative	negative	ADJ
fcis-29385	108	33	classes	class	NOUN
fcis-29385	108	34	,	,	PUNCT
fcis-29385	108	35	and	and	CCONJ
fcis-29385	108	36	the	the	DET
fcis-29385	108	37	auc	auc	NOUN
fcis-29385	108	38	for	for	ADP
fcis-29385	108	39	each	each	DET
fcis-29385	108	40	category	category	NOUN
fcis-29385	108	41	was	be	AUX
fcis-29385	108	42	calculated	calculate	VERB
fcis-29385	108	43	.	.	PUNCT
fcis-29385	109	1	this	this	DET
fcis-29385	109	2	results	result	NOUN
fcis-29385	109	3	in	in	ADP
fcis-29385	109	4	five	five	NUM
fcis-29385	109	5	roc	roc	PROPN
fcis-29385	109	6	curves	curve	NOUN
fcis-29385	109	7	,	,	PUNCT
fcis-29385	109	8	and	and	CCONJ
fcis-29385	109	9	the	the	DET
fcis-29385	109	10	average	average	NOUN
fcis-29385	109	11	of	of	ADP
fcis-29385	109	12	these	these	DET
fcis-29385	109	13	curves	curve	NOUN
fcis-29385	109	14	is	be	AUX
fcis-29385	109	15	used	use	VERB
fcis-29385	109	16	to	to	PART
fcis-29385	109	17	obtain	obtain	VERB
fcis-29385	109	18	the	the	DET
fcis-29385	109	19	final	final	ADJ
fcis-29385	109	20	roc	roc	PROPN
fcis-29385	109	21	curve	curve	NOUN
fcis-29385	109	22	.	.	PUNCT
fcis-29385	110	1	the	the	DET
fcis-29385	110	2	area	area	NOUN
fcis-29385	110	3	under	under	ADP
fcis-29385	110	4	this	this	DET
fcis-29385	110	5	final	final	ADJ
fcis-29385	110	6	roc	roc	PROPN
fcis-29385	110	7	curve	curve	NOUN
fcis-29385	110	8	is	be	AUX
fcis-29385	110	9	the	the	DET
fcis-29385	110	10	auc_macro	auc_macro	NOUN
fcis-29385	110	11	,	,	PUNCT
fcis-29385	110	12	which	which	PRON
fcis-29385	110	13	is	be	AUX
fcis-29385	110	14	used	use	VERB
fcis-29385	110	15	as	as	ADP
fcis-29385	110	16	an	an	DET
fcis-29385	110	17	indicator	indicator	NOUN
fcis-29385	110	18	to	to	PART
fcis-29385	110	19	measure	measure	VERB
fcis-29385	110	20	the	the	DET
fcis-29385	110	21	performance	performance	NOUN
fcis-29385	110	22	of	of	ADP
fcis-29385	110	23	multi	multi	ADJ
fcis-29385	110	24	-	-	ADJ
fcis-29385	110	25	class	class	ADJ
fcis-29385	110	26	models	model	NOUN
fcis-29385	110	27	.	.	PUNCT
fcis-29385	111	1	in	in	ADP
fcis-29385	111	2	different	different	ADJ
fcis-29385	111	3	sampling	sampling	NOUN
fcis-29385	111	4	methods	method	NOUN
fcis-29385	111	5	and	and	CCONJ
fcis-29385	111	6	data	datum	NOUN
fcis-29385	111	7	processing	processing	NOUN
fcis-29385	111	8	scenarios	scenario	NOUN
fcis-29385	111	9	,	,	PUNCT
fcis-29385	111	10	using	use	VERB
fcis-29385	111	11	the	the	DET
fcis-29385	111	12	sg	sg	NOUN
fcis-29385	111	13	preprocessing	preprocesse	VERB
fcis-29385	111	14	algorithm	algorithm	NOUN
fcis-29385	111	15	and	and	CCONJ
fcis-29385	111	16	rf	rf	NOUN
fcis-29385	111	17	classification	classification	NOUN
fcis-29385	111	18	algorithm	algorithm	NOUN
fcis-29385	111	19	,	,	PUNCT
fcis-29385	111	20	the	the	DET
fcis-29385	111	21	smotetomek	smotetomek	NOUN
fcis-29385	111	22	combined	combine	VERB
fcis-29385	111	23	sampling	sampling	NOUN
fcis-29385	111	24	method	method	NOUN
fcis-29385	111	25	before	before	SCONJ
fcis-29385	111	26	data	data	NOUN
fcis-29385	111	27	preprocessing	preprocessing	NOUN
fcis-29385	111	28	achieved	achieve	VERB
fcis-29385	111	29	the	the	DET
fcis-29385	111	30	highest	high	ADJ
fcis-29385	111	31	10	10	NUM
fcis-29385	111	32	-	-	ADJ
fcis-29385	111	33	fold	fold	ADJ
fcis-29385	111	34	cross	cross	ADJ
fcis-29385	111	35	-	-	ADJ
fcis-29385	111	36	validation	validation	ADJ
fcis-29385	111	37	average	average	NOUN
fcis-29385	111	38	auc_macro	auc_macro	NOUN
fcis-29385	111	39	of	of	ADP
fcis-29385	111	40	0.9885	0.9885	NUM
fcis-29385	111	41	,	,	PUNCT
fcis-29385	111	42	along	along	ADP
fcis-29385	111	43	with	with	ADP
fcis-29385	111	44	a	a	DET
fcis-29385	111	45	91.37	91.37	NUM
fcis-29385	111	46	%	%	NOUN
fcis-29385	111	47	average	average	ADJ
fcis-29385	111	48	10	10	NUM
fcis-29385	111	49	-	-	ADJ
fcis-29385	111	50	fold	fold	ADJ
fcis-29385	111	51	cross	cross	ADJ
fcis-29385	111	52	-	-	ADJ
fcis-29385	111	53	validation	validation	ADJ
fcis-29385	111	54	accuracy	accuracy	NOUN
fcis-29385	111	55	.	.	PUNCT
fcis-29385	111	56	table	table	NOUN
fcis-29385	111	57	1	1	NUM
fcis-29385	111	58	.	.	PUNCT
fcis-29385	112	1	the	the	DET
fcis-29385	112	2	10	10	NUM
fcis-29385	112	3	-	-	ADJ
fcis-29385	112	4	fold	fold	ADJ
fcis-29385	112	5	cross	cross	ADJ
fcis-29385	112	6	-	-	ADJ
fcis-29385	112	7	validation	validation	ADJ
fcis-29385	112	8	results	result	NOUN
fcis-29385	112	9	without	without	ADP
fcis-29385	112	10	sampling	sample	VERB
fcis-29385	112	11	preprocessing	preprocesse	VERB
fcis-29385	112	12	algorithm	algorithm	NOUN
fcis-29385	112	13	classification	classification	NOUN
fcis-29385	112	14	algorithms	algorithm	NOUN
fcis-29385	112	15	10	10	NUM
fcis-29385	112	16	-	-	ADJ
fcis-29385	112	17	fold	fold	ADJ
fcis-29385	112	18	cross	cross	ADJ
fcis-29385	112	19	-	-	ADJ
fcis-29385	112	20	validation	validation	ADJ
fcis-29385	112	21	-	-	PUNCT
fcis-29385	112	22	average	average	NOUN
fcis-29385	112	23	accuracy	accuracy	NOUN
fcis-29385	112	24	(	(	PUNCT
fcis-29385	112	25	%	%	NOUN
fcis-29385	112	26	)	)	PUNCT
fcis-29385	112	27	10	10	NUM
fcis-29385	112	28	-	-	ADJ
fcis-29385	112	29	fold	fold	ADJ
fcis-29385	112	30	cross	cross	ADJ
fcis-29385	112	31	-	-	ADJ
fcis-29385	112	32	validation	validation	ADJ
fcis-29385	112	33	-	-	PUNCT
fcis-29385	112	34	average	average	NOUN
fcis-29385	112	35	auc_macro	auc_macro	PUNCT
fcis-29385	112	36	none	none	NOUN
fcis-29385	112	37	svm	svm	VERB
fcis-29385	112	38	72.09	72.09	NUM
fcis-29385	112	39	0.9289	0.9289	NUM
fcis-29385	112	40	knn	knn	NOUN
fcis-29385	112	41	75.26	75.26	NUM
fcis-29385	112	42	0.9063	0.9063	NUM
fcis-29385	112	43	rf	rf	NUM
fcis-29385	112	44	79.86	79.86	NUM
fcis-29385	112	45	0.9300	0.9300	NUM
fcis-29385	112	46	sg	sg	AUX
fcis-29385	112	47	svm	svm	VERB
fcis-29385	112	48	80.86	80.86	NUM
fcis-29385	112	49	0.9679	0.9679	NUM
fcis-29385	112	50	knn	knn	PROPN
fcis-29385	112	51	86.76	86.76	NUM
fcis-29385	112	52	0.9724	0.9724	NUM
fcis-29385	112	53	rf	rf	NUM
fcis-29385	112	54	90.79	90.79	NUM
fcis-29385	112	55	0.9821	0.9821	NUM
fcis-29385	112	56	msc	msc	PROPN
fcis-29385	112	57	svm	svm	PROPN
fcis-29385	112	58	62.16	62.16	NUM
fcis-29385	112	59	0.9246	0.9246	NUM
fcis-29385	112	60	knn	knn	PROPN
fcis-29385	112	61	84.17	84.17	NUM
fcis-29385	112	62	0.9580	0.9580	NUM
fcis-29385	113	1	rf	rf	NUM
fcis-29385	113	2	62.88	62.88	NUM
fcis-29385	113	3	0.9053	0.9053	NUM
fcis-29385	113	4	snv	snv	PROPN
fcis-29385	113	5	svm	svm	VERB
fcis-29385	113	6	73.81	73.81	NUM
fcis-29385	113	7	0.9336	0.9336	NUM
fcis-29385	113	8	knn	knn	PROPN
fcis-29385	113	9	75.40	75.40	NUM
fcis-29385	113	10	0.9000	0.9000	NUM
fcis-29385	113	11	rf	rf	NUM
fcis-29385	113	12	77.76	77.76	NUM
fcis-29385	113	13	0.9389	0.9389	NUM
fcis-29385	113	14	sgfd	sgfd	NOUN
fcis-29385	113	15	fd	fd	AUX
fcis-29385	113	16	svm	svm	VERB
fcis-29385	113	17	79.71	79.71	NUM
fcis-29385	113	18	0.9656	0.9656	NUM
fcis-29385	113	19	knn	knn	NOUN
fcis-29385	113	20	85.61	85.61	NUM
fcis-29385	113	21	0.9685	0.9685	NUM
fcis-29385	113	22	rf	rf	VERB
fcis-29385	113	23	90.50	90.50	NUM
fcis-29385	113	24	0.9814	0.9814	NUM
fcis-29385	113	25	mscfd	mscfd	NOUN
fcis-29385	113	26	fd	fd	AUX
fcis-29385	113	27	svm	svm	VERB
fcis-29385	113	28	59.71	59.71	NUM
fcis-29385	113	29	0.9328	0.9328	NUM
fcis-29385	113	30	knn	knn	VERB
fcis-29385	113	31	84.31	84.31	NUM
fcis-29385	113	32	0.9517	0.9517	NUM
fcis-29385	114	1	rf	rf	NUM
fcis-29385	114	2	90.21	90.21	NUM
fcis-29385	114	3	0.9847	0.9847	NUM
fcis-29385	114	4	snvfd	snvfd	PROPN
fcis-29385	114	5	fdfd	fdfd	INTJ
fcis-29385	114	6	svm	svm	PROPN
fcis-29385	114	7	83.17	83.17	NUM
fcis-29385	114	8	0.9731	0.9731	NUM
fcis-29385	114	9	knn	knn	NOUN
fcis-29385	114	10	85.61	85.61	NUM
fcis-29385	114	11	0.9688	0.9688	NUM
fcis-29385	114	12	rf	rf	NUM
fcis-29385	114	13	88.49	88.49	NUM
fcis-29385	114	14	0.9797	0.9797	NUM
fcis-29385	114	15	93	93	NUM
fcis-29385	114	16	table	table	NOUN
fcis-29385	114	17	2	2	NUM
fcis-29385	114	18	.	.	NOUN
fcis-29385	114	19	10	10	NUM
fcis-29385	114	20	-	-	ADJ
fcis-29385	114	21	fold	fold	ADJ
fcis-29385	114	22	cross	cross	ADJ
fcis-29385	114	23	-	-	ADJ
fcis-29385	114	24	validation	validation	ADJ
fcis-29385	114	25	results	result	NOUN
fcis-29385	114	26	of	of	ADP
fcis-29385	114	27	smotetomek	smotetomek	ADV
fcis-29385	114	28	combined	combine	VERB
fcis-29385	114	29	sampling	sample	VERB
fcis-29385	114	30	before	before	ADP
fcis-29385	114	31	data	data	NOUN
fcis-29385	114	32	preprocessing	preprocesse	VERB
fcis-29385	114	33	preprocessing	preprocessing	NOUN
fcis-29385	114	34	algorithm	algorithm	NOUN
fcis-29385	114	35	classification	classification	NOUN
fcis-29385	114	36	algorithms	algorithm	NOUN
fcis-29385	114	37	10	10	NUM
fcis-29385	114	38	-	-	ADJ
fcis-29385	114	39	fold	fold	ADJ
fcis-29385	114	40	cross	cross	ADJ
fcis-29385	114	41	-	-	ADJ
fcis-29385	114	42	validation	validation	ADJ
fcis-29385	114	43	-	-	PUNCT
fcis-29385	114	44	average	average	NOUN
fcis-29385	114	45	accuracy	accuracy	NOUN
fcis-29385	114	46	(	(	PUNCT
fcis-29385	114	47	%	%	NOUN
fcis-29385	114	48	)	)	PUNCT
fcis-29385	114	49	10	10	NUM
fcis-29385	114	50	-	-	ADJ
fcis-29385	114	51	fold	fold	ADJ
fcis-29385	114	52	cross	cross	ADJ
fcis-29385	114	53	-	-	ADJ
fcis-29385	114	54	validation	validation	ADJ
fcis-29385	114	55	-	-	PUNCT
fcis-29385	114	56	average	average	NOUN
fcis-29385	114	57	auc_macro	auc_macro	PUNCT
fcis-29385	114	58	none	none	NOUN
fcis-29385	114	59	svm	svm	VERB
fcis-29385	114	60	72.09	72.09	NUM
fcis-29385	114	61	0.9272	0.9272	NUM
fcis-29385	114	62	knn	knn	PROPN
fcis-29385	114	63	75.26	75.26	NUM
fcis-29385	114	64	0.9063	0.9063	NUM
fcis-29385	114	65	rf	rf	NUM
fcis-29385	114	66	79.86	79.86	NUM
fcis-29385	114	67	0.9335	0.9335	NUM
fcis-29385	114	68	sg	sg	PROPN
fcis-29385	114	69	svm	svm	PROPN
fcis-29385	114	70	80.86	80.86	NUM
fcis-29385	114	71	0.9684	0.9684	NUM
fcis-29385	114	72	knn	knn	PROPN
fcis-29385	114	73	86.76	86.76	NUM
fcis-29385	114	74	0.9725	0.9725	NUM
fcis-29385	114	75	rf	rf	NUM
fcis-29385	114	76	91.37	91.37	NUM
fcis-29385	114	77	0.9885	0.9885	NUM
fcis-29385	114	78	msc	msc	PROPN
fcis-29385	114	79	svm	svm	PROPN
fcis-29385	114	80	62.16	62.16	NUM
fcis-29385	114	81	0.9222	0.9222	NUM
fcis-29385	114	82	knn	knn	NOUN
fcis-29385	114	83	84.17	84.17	NUM
fcis-29385	114	84	0.9580	0.9580	NUM
fcis-29385	114	85	rf	rf	NUM
fcis-29385	114	86	66.47	66.47	NUM
fcis-29385	114	87	0.9196	0.9196	NUM
fcis-29385	114	88	snv	snv	NOUN
fcis-29385	114	89	svm	svm	VERB
fcis-29385	114	90	73.81	73.81	NUM
fcis-29385	114	91	0.9336	0.9336	NUM
fcis-29385	114	92	knn	knn	PROPN
fcis-29385	115	1	75.40	75.40	NUM
fcis-29385	115	2	0.9000	0.9000	NUM
fcis-29385	115	3	rf	rf	NUM
fcis-29385	115	4	77.27	77.27	NUM
fcis-29385	115	5	0.9377	0.9377	NUM
fcis-29385	115	6	sgfd	sgfd	NOUN
fcis-29385	115	7	fd	fd	AUX
fcis-29385	115	8	svm	svm	VERB
fcis-29385	115	9	79.71	79.71	NUM
fcis-29385	115	10	0.9653	0.9653	NUM
fcis-29385	115	11	knn	knn	NOUN
fcis-29385	115	12	85.61	85.61	NUM
fcis-29385	115	13	0.9684	0.9684	NUM
fcis-29385	115	14	rf	rf	NUM
fcis-29385	115	15	90.35	90.35	NUM
fcis-29385	115	16	0.9833	0.9833	NUM
fcis-29385	115	17	mscfd	mscfd	NOUN
fcis-29385	115	18	fd	fd	AUX
fcis-29385	115	19	svm	svm	VERB
fcis-29385	115	20	59.71	59.71	NUM
fcis-29385	115	21	0.9338	0.9338	NUM
fcis-29385	115	22	knn	knn	PROPN
fcis-29385	116	1	84.31	84.31	NUM
fcis-29385	116	2	0.9518	0.9518	NUM
fcis-29385	116	3	rf	rf	NUM
fcis-29385	116	4	89.79	89.79	NUM
fcis-29385	116	5	0.9862	0.9862	NUM
fcis-29385	116	6	snvfd	snvfd	ADP
fcis-29385	116	7	fdfd	fdfd	PROPN
fcis-29385	116	8	svm	svm	PROPN
fcis-29385	116	9	83.16	83.16	NUM
fcis-29385	116	10	0.9734	0.9734	NUM
fcis-29385	116	11	knn	knn	PROPN
fcis-29385	116	12	85.61	85.61	NUM
fcis-29385	116	13	0.9688	0.9688	NUM
fcis-29385	116	14	rf	rf	NUM
fcis-29385	116	15	88.78	88.78	NUM
fcis-29385	116	16	0.9789	0.9789	NUM
fcis-29385	116	17	table	table	NOUN
fcis-29385	116	18	3	3	NUM
fcis-29385	116	19	.	.	NOUN
fcis-29385	116	20	10	10	NUM
fcis-29385	116	21	-	-	ADJ
fcis-29385	116	22	fold	fold	ADJ
fcis-29385	116	23	cross	cross	ADJ
fcis-29385	116	24	-	-	ADJ
fcis-29385	116	25	validation	validation	ADJ
fcis-29385	116	26	results	result	NOUN
fcis-29385	116	27	of	of	ADP
fcis-29385	116	28	smotetomek	smotetomek	NOUN
fcis-29385	116	29	combined	combine	VERB
fcis-29385	116	30	sampling	sample	VERB
fcis-29385	116	31	after	after	ADP
fcis-29385	116	32	data	data	NOUN
fcis-29385	116	33	preprocessing	preprocesse	VERB
fcis-29385	116	34	preprocessing	preprocessing	NOUN
fcis-29385	116	35	algorithm	algorithm	NOUN
fcis-29385	116	36	classification	classification	NOUN
fcis-29385	116	37	algorithms	algorithm	NOUN
fcis-29385	116	38	10	10	NUM
fcis-29385	116	39	-	-	ADJ
fcis-29385	116	40	fold	fold	ADJ
fcis-29385	116	41	cross	cross	ADJ
fcis-29385	116	42	-	-	ADJ
fcis-29385	116	43	validation	validation	ADJ
fcis-29385	116	44	-	-	PUNCT
fcis-29385	116	45	average	average	NOUN
fcis-29385	116	46	accuracy	accuracy	NOUN
fcis-29385	116	47	(	(	PUNCT
fcis-29385	116	48	%	%	NOUN
fcis-29385	116	49	)	)	PUNCT
fcis-29385	116	50	10	10	NUM
fcis-29385	116	51	-	-	ADJ
fcis-29385	116	52	fold	fold	ADJ
fcis-29385	116	53	cross	cross	ADJ
fcis-29385	116	54	-	-	ADJ
fcis-29385	116	55	validation	validation	ADJ
fcis-29385	116	56	-	-	PUNCT
fcis-29385	116	57	average	average	NOUN
fcis-29385	116	58	auc_macro	auc_macro	PUNCT
fcis-29385	116	59	none	none	NOUN
fcis-29385	116	60	svm	svm	VERB
fcis-29385	116	61	76.26	76.26	NUM
fcis-29385	116	62	0.9371	0.9371	NUM
fcis-29385	116	63	knn	knn	PROPN
fcis-29385	116	64	74.68	74.68	NUM
fcis-29385	116	65	0.9064	0.9064	NUM
fcis-29385	116	66	rf	rf	NUM
fcis-29385	116	67	79.28	79.28	NUM
fcis-29385	116	68	0.9374	0.9374	NUM
fcis-29385	116	69	sg	sg	AUX
fcis-29385	116	70	svm	svm	VERB
fcis-29385	116	71	84.90	84.90	NUM
fcis-29385	116	72	0.9684	0.9684	NUM
fcis-29385	116	73	knn	knn	PROPN
fcis-29385	116	74	87.20	87.20	NUM
fcis-29385	116	75	0.9667	0.9667	NUM
fcis-29385	116	76	rf	rf	PRON
fcis-29385	116	77	91.08	91.08	NUM
fcis-29385	116	78	0.9835	0.9835	NUM
fcis-29385	116	79	msc	msc	PROPN
fcis-29385	116	80	svm	svm	PROPN
fcis-29385	116	81	78.85	78.85	NUM
fcis-29385	116	82	0.9394	0.9394	NUM
fcis-29385	116	83	knn	knn	NOUN
fcis-29385	116	84	85.61	85.61	NUM
fcis-29385	116	85	0.9535	0.9535	NUM
fcis-29385	116	86	rf	rf	VERB
fcis-29385	116	87	64.33	64.33	NUM
fcis-29385	116	88	0.9017	0.9017	NUM
fcis-29385	116	89	snv	snv	NOUN
fcis-29385	116	90	svm	svm	VERB
fcis-29385	116	91	76.55	76.55	NUM
fcis-29385	116	92	0.9380	0.9380	NUM
fcis-29385	116	93	knn	knn	NOUN
fcis-29385	116	94	76.26	76.26	NUM
fcis-29385	116	95	0.9074	0.9074	NUM
fcis-29385	116	96	rf	rf	NUM
fcis-29385	116	97	78.27	78.27	NUM
fcis-29385	116	98	0.9372	0.9372	NUM
fcis-29385	116	99	sgfd	sgfd	NOUN
fcis-29385	116	100	fd	fd	VERB
fcis-29385	116	101	svm	svm	VERB
fcis-29385	116	102	83.75	83.75	NUM
fcis-29385	116	103	0.9669	0.9669	NUM
fcis-29385	116	104	knn	knn	NOUN
fcis-29385	116	105	86.90	86.90	NUM
fcis-29385	116	106	0.9650	0.9650	NUM
fcis-29385	116	107	rf	rf	NUM
fcis-29385	116	108	90.79	90.79	NUM
fcis-29385	116	109	0.9842	0.9842	NUM
fcis-29385	116	110	mscfd	mscfd	NOUN
fcis-29385	116	111	fd	fd	AUX
fcis-29385	116	112	svm	svm	VERB
fcis-29385	116	113	78.85	78.85	NUM
fcis-29385	116	114	0.9406	0.9406	NUM
fcis-29385	116	115	knn	knn	NOUN
fcis-29385	116	116	84.46	84.46	NUM
fcis-29385	116	117	0.9532	0.9532	NUM
fcis-29385	116	118	rf	rf	NUM
fcis-29385	116	119	91.08	91.08	NUM
fcis-29385	116	120	0.9865	0.9865	NUM
fcis-29385	116	121	snvfd	snvfd	ADV
fcis-29385	116	122	fdfd	fdfd	PROPN
fcis-29385	116	123	svm	svm	PROPN
fcis-29385	116	124	87.78	87.78	NUM
fcis-29385	116	125	0.9697	0.9697	NUM
fcis-29385	116	126	knn	knn	PROPN
fcis-29385	116	127	86.33	86.33	NUM
fcis-29385	116	128	0.9630	0.9630	NUM
fcis-29385	116	129	rf	rf	NUM
fcis-29385	116	130	89.06	89.06	NUM
fcis-29385	116	131	0.9794	0.9794	NUM
fcis-29385	116	132	94	94	NUM
fcis-29385	116	133	3.3	3.3	NUM
fcis-29385	116	134	.	.	PUNCT
fcis-29385	117	1	test	test	NOUN
fcis-29385	117	2	set	set	VERB
fcis-29385	117	3	analysis	analysis	NOUN
fcis-29385	117	4	fig	fig	NOUN
fcis-29385	117	5	5	5	NUM
fcis-29385	117	6	.	.	PUNCT
fcis-29385	117	7	confusion	confusion	NOUN
fcis-29385	117	8	matrix	matrix	NOUN
fcis-29385	117	9	of	of	ADP
fcis-29385	117	10	the	the	DET
fcis-29385	117	11	sg_fr	sg_fr	PROPN
fcis-29385	117	12	model	model	NOUN
fcis-29385	117	13	predicting	predict	VERB
fcis-29385	117	14	the	the	DET
fcis-29385	117	15	test	test	NOUN
fcis-29385	117	16	set	set	VERB
fcis-29385	117	17	based	base	VERB
fcis-29385	117	18	on	on	ADP
fcis-29385	117	19	the	the	DET
fcis-29385	117	20	10	10	NUM
fcis-29385	117	21	-	-	ADJ
fcis-29385	117	22	fold	fold	ADJ
fcis-29385	117	23	cross	cross	ADJ
fcis-29385	117	24	-	-	ADJ
fcis-29385	117	25	validation	validation	ADJ
fcis-29385	117	26	results	result	NOUN
fcis-29385	117	27	,	,	PUNCT
fcis-29385	117	28	smotetomek	smotetomek	ADV
fcis-29385	117	29	combined	combine	VERB
fcis-29385	117	30	sampling	sample	VERB
fcis-29385	117	31	before	before	ADP
fcis-29385	117	32	data	data	NOUN
fcis-29385	117	33	preprocessing	preprocessing	NOUN
fcis-29385	117	34	and	and	CCONJ
fcis-29385	117	35	the	the	DET
fcis-29385	117	36	sg_rf	sg_rf	ADJ
fcis-29385	117	37	model	model	NOUN
fcis-29385	117	38	were	be	AUX
fcis-29385	117	39	selected	select	VERB
fcis-29385	117	40	to	to	PART
fcis-29385	117	41	analyze	analyze	VERB
fcis-29385	117	42	the	the	DET
fcis-29385	117	43	test	test	NOUN
fcis-29385	117	44	set	set	VERB
fcis-29385	117	45	.	.	PUNCT
fcis-29385	118	1	the	the	DET
fcis-29385	118	2	classification	classification	NOUN
fcis-29385	118	3	confusion	confusion	NOUN
fcis-29385	118	4	matrix	matrix	NOUN
fcis-29385	118	5	of	of	ADP
fcis-29385	118	6	the	the	DET
fcis-29385	118	7	test	test	NOUN
fcis-29385	118	8	set	set	NOUN
fcis-29385	118	9	is	be	AUX
fcis-29385	118	10	shown	show	VERB
fcis-29385	118	11	in	in	ADP
fcis-29385	118	12	figure	figure	NOUN
fcis-29385	118	13	5	5	NUM
fcis-29385	118	14	.	.	PUNCT
fcis-29385	119	1	the	the	DET
fcis-29385	119	2	test	test	NOUN
fcis-29385	119	3	set	set	NOUN
fcis-29385	119	4	contains	contain	VERB
fcis-29385	119	5	70	70	NUM
fcis-29385	119	6	polyester	polyester	NOUN
fcis-29385	119	7	,	,	PUNCT
fcis-29385	119	8	20	20	NUM
fcis-29385	119	9	linen	linen	NOUN
fcis-29385	119	10	-	-	PUNCT
fcis-29385	119	11	silk	silk	NOUN
fcis-29385	119	12	,	,	PUNCT
fcis-29385	119	13	45	45	NUM
fcis-29385	119	14	cotton	cotton	NOUN
fcis-29385	119	15	,	,	PUNCT
fcis-29385	119	16	20	20	NUM
fcis-29385	119	17	leather	leather	NOUN
fcis-29385	119	18	,	,	PUNCT
fcis-29385	119	19	and	and	CCONJ
fcis-29385	119	20	19	19	NUM
fcis-29385	119	21	wool	wool	NOUN
fcis-29385	119	22	spectral	spectral	ADJ
fcis-29385	119	23	data	datum	NOUN
fcis-29385	119	24	.	.	PUNCT
fcis-29385	120	1	the	the	DET
fcis-29385	120	2	results	result	NOUN
fcis-29385	120	3	show	show	VERB
fcis-29385	120	4	that	that	SCONJ
fcis-29385	120	5	68	68	NUM
fcis-29385	120	6	polyester	polyester	NOUN
fcis-29385	120	7	samples	sample	NOUN
fcis-29385	120	8	were	be	AUX
fcis-29385	120	9	correctly	correctly	ADV
fcis-29385	120	10	classified	classified	ADJ
fcis-29385	120	11	,	,	PUNCT
fcis-29385	120	12	with	with	ADP
fcis-29385	120	13	1	1	NUM
fcis-29385	120	14	polyester	polyester	NOUN
fcis-29385	120	15	classified	classify	VERB
fcis-29385	120	16	as	as	ADP
fcis-29385	120	17	leather	leather	NOUN
fcis-29385	120	18	and	and	CCONJ
fcis-29385	120	19	2	2	NUM
fcis-29385	120	20	polyester	polyester	NOUN
fcis-29385	120	21	classified	classify	VERB
fcis-29385	120	22	as	as	ADP
fcis-29385	120	23	wool	wool	NOUN
fcis-29385	120	24	;	;	PUNCT
fcis-29385	120	25	18	18	NUM
fcis-29385	120	26	linen	linen	NOUN
fcis-29385	120	27	-	-	PUNCT
fcis-29385	120	28	silk	silk	NOUN
fcis-29385	120	29	samples	sample	NOUN
fcis-29385	120	30	were	be	AUX
fcis-29385	120	31	correctly	correctly	ADV
fcis-29385	120	32	classified	classified	ADJ
fcis-29385	120	33	,	,	PUNCT
fcis-29385	120	34	with	with	SCONJ
fcis-29385	120	35	1	1	NUM
fcis-29385	120	36	linen	linen	NOUN
fcis-29385	120	37	-	-	PUNCT
fcis-29385	120	38	silk	silk	NOUN
fcis-29385	120	39	classified	classify	VERB
fcis-29385	120	40	as	as	ADP
fcis-29385	120	41	polyester	polyester	NOUN
fcis-29385	120	42	and	and	CCONJ
fcis-29385	120	43	1	1	NUM
fcis-29385	120	44	linen	linen	NOUN
fcis-29385	120	45	-	-	PUNCT
fcis-29385	120	46	silk	silk	NOUN
fcis-29385	120	47	classified	classify	VERB
fcis-29385	120	48	as	as	ADP
fcis-29385	120	49	cotton	cotton	NOUN
fcis-29385	120	50	;	;	PUNCT
fcis-29385	120	51	39	39	NUM
fcis-29385	120	52	cotton	cotton	NOUN
fcis-29385	120	53	samples	sample	NOUN
fcis-29385	120	54	were	be	AUX
fcis-29385	120	55	correctly	correctly	ADV
fcis-29385	120	56	classified	classified	ADJ
fcis-29385	120	57	,	,	PUNCT
fcis-29385	120	58	with	with	ADP
fcis-29385	120	59	4	4	NUM
fcis-29385	120	60	cotton	cotton	NOUN
fcis-29385	120	61	samples	sample	NOUN
fcis-29385	120	62	classified	classify	VERB
fcis-29385	120	63	as	as	ADP
fcis-29385	120	64	polyester	polyester	NOUN
fcis-29385	120	65	and	and	CCONJ
fcis-29385	120	66	2	2	NUM
fcis-29385	120	67	cotton	cotton	NOUN
fcis-29385	120	68	samples	sample	NOUN
fcis-29385	120	69	classified	classify	VERB
fcis-29385	120	70	as	as	ADP
fcis-29385	120	71	linen	linen	NOUN
fcis-29385	120	72	-	-	PUNCT
fcis-29385	120	73	silk	silk	NOUN
fcis-29385	120	74	;	;	PUNCT
fcis-29385	120	75	all	all	DET
fcis-29385	120	76	20	20	NUM
fcis-29385	120	77	leather	leather	NOUN
fcis-29385	120	78	samples	sample	NOUN
fcis-29385	120	79	were	be	AUX
fcis-29385	120	80	correctly	correctly	ADV
fcis-29385	120	81	classified	classified	ADJ
fcis-29385	120	82	;	;	PUNCT
fcis-29385	120	83	all	all	DET
fcis-29385	120	84	19	19	NUM
fcis-29385	120	85	wool	wool	NOUN
fcis-29385	120	86	samples	sample	NOUN
fcis-29385	120	87	were	be	AUX
fcis-29385	120	88	correctly	correctly	ADV
fcis-29385	120	89	classified	classify	VERB
fcis-29385	120	90	,	,	PUNCT
fcis-29385	120	91	resulting	result	VERB
fcis-29385	120	92	in	in	ADP
fcis-29385	120	93	a	a	DET
fcis-29385	120	94	classification	classification	NOUN
fcis-29385	120	95	accuracy	accuracy	NOUN
fcis-29385	120	96	of	of	ADP
fcis-29385	120	97	93.7	93.7	NUM
fcis-29385	120	98	%	%	NOUN
fcis-29385	120	99	.	.	PUNCT
fcis-29385	121	1	the	the	DET
fcis-29385	121	2	roc	roc	PROPN
fcis-29385	121	3	curve	curve	NOUN
fcis-29385	121	4	is	be	AUX
fcis-29385	121	5	shown	show	VERB
fcis-29385	121	6	in	in	ADP
fcis-29385	121	7	figure	figure	NOUN
fcis-29385	121	8	6	6	NUM
fcis-29385	121	9	,	,	PUNCT
fcis-29385	121	10	with	with	ADP
fcis-29385	121	11	an	an	DET
fcis-29385	121	12	auc_macro	auc_macro	NOUN
fcis-29385	121	13	of	of	ADP
fcis-29385	121	14	0.928	0.928	NUM
fcis-29385	121	15	.	.	PUNCT
fcis-29385	122	1	fig	fig	NOUN
fcis-29385	122	2	6	6	NUM
fcis-29385	122	3	.	.	PUNCT
fcis-29385	123	1	roc	roc	PROPN
fcis-29385	123	2	curve	curve	NOUN
fcis-29385	123	3	of	of	ADP
fcis-29385	123	4	the	the	DET
fcis-29385	123	5	sg_fr	sg_fr	PROPN
fcis-29385	123	6	model	model	NOUN
fcis-29385	123	7	predicting	predict	VERB
fcis-29385	123	8	the	the	DET
fcis-29385	123	9	test	test	NOUN
fcis-29385	123	10	set	set	VERB
fcis-29385	123	11	3.4	3.4	NUM
fcis-29385	123	12	.	.	PUNCT
fcis-29385	124	1	feature	feature	NOUN
fcis-29385	124	2	processing	process	VERB
fcis-29385	124	3	the	the	DET
fcis-29385	124	4	pca	pca	NOUN
fcis-29385	124	5	algorithm	algorithm	NOUN
fcis-29385	124	6	was	be	AUX
fcis-29385	124	7	used	use	VERB
fcis-29385	124	8	for	for	ADP
fcis-29385	124	9	feature	feature	NOUN
fcis-29385	124	10	extraction	extraction	NOUN
fcis-29385	124	11	on	on	ADP
fcis-29385	124	12	the	the	DET
fcis-29385	124	13	fiber	fiber	NOUN
fcis-29385	124	14	spectral	spectral	ADJ
fcis-29385	124	15	data	datum	NOUN
fcis-29385	124	16	.	.	PUNCT
fcis-29385	125	1	we	we	PRON
fcis-29385	125	2	reduced	reduce	VERB
fcis-29385	125	3	the	the	DET
fcis-29385	125	4	spectral	spectral	ADJ
fcis-29385	125	5	dimensionality	dimensionality	NOUN
fcis-29385	125	6	to	to	ADP
fcis-29385	125	7	1	1	NUM
fcis-29385	125	8	-	-	SYM
fcis-29385	125	9	20	20	NUM
fcis-29385	125	10	dimensions	dimension	NOUN
fcis-29385	125	11	and	and	CCONJ
fcis-29385	125	12	analyzed	analyze	VERB
fcis-29385	125	13	the	the	DET
fcis-29385	125	14	classification	classification	NOUN
fcis-29385	125	15	accuracy	accuracy	NOUN
fcis-29385	125	16	and	and	CCONJ
fcis-29385	125	17	auc_macro	auc_macro	X
fcis-29385	125	18	of	of	ADP
fcis-29385	125	19	the	the	DET
fcis-29385	125	20	test	test	NOUN
fcis-29385	125	21	set	set	VERB
fcis-29385	125	22	data	datum	NOUN
fcis-29385	125	23	after	after	ADP
fcis-29385	125	24	combining	combine	VERB
fcis-29385	125	25	smotetomek	smotetomek	NOUN
fcis-29385	125	26	sampling	sampling	NOUN
fcis-29385	125	27	and	and	CCONJ
fcis-29385	125	28	the	the	DET
fcis-29385	125	29	sg_rf	sg_rf	PROPN
fcis-29385	125	30	model	model	NOUN
fcis-29385	125	31	.	.	PUNCT
fcis-29385	126	1	the	the	DET
fcis-29385	126	2	results	result	NOUN
fcis-29385	126	3	are	be	AUX
fcis-29385	126	4	shown	show	VERB
fcis-29385	126	5	in	in	ADP
fcis-29385	126	6	figure	figure	NOUN
fcis-29385	126	7	7	7	NUM
fcis-29385	126	8	.	.	PUNCT
fcis-29385	127	1	as	as	SCONJ
fcis-29385	127	2	the	the	DET
fcis-29385	127	3	dimensionality	dimensionality	NOUN
fcis-29385	127	4	increased	increase	VERB
fcis-29385	127	5	,	,	PUNCT
fcis-29385	127	6	both	both	CCONJ
fcis-29385	127	7	the	the	DET
fcis-29385	127	8	classification	classification	NOUN
fcis-29385	127	9	accuracy	accuracy	NOUN
fcis-29385	127	10	and	and	CCONJ
fcis-29385	127	11	auc_macro	auc_macro	NOUN
fcis-29385	127	12	initially	initially	ADV
fcis-29385	127	13	increased	increase	VERB
fcis-29385	127	14	,	,	PUNCT
fcis-29385	127	15	reaching	reach	VERB
fcis-29385	127	16	a	a	DET
fcis-29385	127	17	maximum	maximum	NOUN
fcis-29385	127	18	at	at	ADP
fcis-29385	127	19	9	9	NUM
fcis-29385	127	20	dimensions	dimension	NOUN
fcis-29385	127	21	,	,	PUNCT
fcis-29385	127	22	after	after	ADP
fcis-29385	127	23	which	which	PRON
fcis-29385	127	24	they	they	PRON
fcis-29385	127	25	stabilized	stabilize	VERB
fcis-29385	127	26	.	.	PUNCT
fcis-29385	128	1	this	this	PRON
fcis-29385	128	2	indicates	indicate	VERB
fcis-29385	128	3	that	that	SCONJ
fcis-29385	128	4	increasing	increase	VERB
fcis-29385	128	5	the	the	DET
fcis-29385	128	6	dimensionality	dimensionality	NOUN
fcis-29385	128	7	no	no	ADV
fcis-29385	128	8	longer	long	ADV
fcis-29385	128	9	captures	capture	VERB
fcis-29385	128	10	additional	additional	ADJ
fcis-29385	128	11	spectral	spectral	ADJ
fcis-29385	128	12	information	information	NOUN
fcis-29385	128	13	to	to	PART
fcis-29385	128	14	improve	improve	VERB
fcis-29385	128	15	the	the	DET
fcis-29385	128	16	classification	classification	NOUN
fcis-29385	128	17	results	result	NOUN
fcis-29385	128	18	.	.	PUNCT
fcis-29385	129	1	at	at	ADP
fcis-29385	129	2	9	9	NUM
fcis-29385	129	3	dimensions	dimension	NOUN
fcis-29385	129	4	,	,	PUNCT
fcis-29385	129	5	the	the	DET
fcis-29385	129	6	classification	classification	NOUN
fcis-29385	129	7	accuracy	accuracy	NOUN
fcis-29385	129	8	was	be	AUX
fcis-29385	129	9	0.902	0.902	NUM
fcis-29385	129	10	and	and	CCONJ
fcis-29385	129	11	the	the	DET
fcis-29385	129	12	auc_macro	auc_macro	X
fcis-29385	129	13	was	be	AUX
fcis-29385	129	14	0.927	0.927	NUM
fcis-29385	129	15	.	.	PUNCT
fcis-29385	130	1	both	both	DET
fcis-29385	130	2	values	value	NOUN
fcis-29385	130	3	were	be	AUX
fcis-29385	130	4	lower	low	ADJ
fcis-29385	130	5	than	than	ADP
fcis-29385	130	6	the	the	DET
fcis-29385	130	7	classification	classification	NOUN
fcis-29385	130	8	results	result	NOUN
fcis-29385	130	9	of	of	ADP
fcis-29385	130	10	the	the	DET
fcis-29385	130	11	test	test	NOUN
fcis-29385	130	12	set	set	VERB
fcis-29385	130	13	without	without	ADP
fcis-29385	130	14	feature	feature	NOUN
fcis-29385	130	15	extraction	extraction	NOUN
fcis-29385	130	16	.	.	PUNCT
fcis-29385	131	1	these	these	DET
fcis-29385	131	2	results	result	NOUN
fcis-29385	131	3	suggest	suggest	VERB
fcis-29385	131	4	that	that	SCONJ
fcis-29385	131	5	the	the	DET
fcis-29385	131	6	pca	pca	PROPN
fcis-29385	131	7	feature	feature	NOUN
fcis-29385	131	8	extraction	extraction	NOUN
fcis-29385	131	9	method	method	NOUN
fcis-29385	131	10	is	be	AUX
fcis-29385	131	11	not	not	PART
fcis-29385	131	12	well	well	ADV
fcis-29385	131	13	-	-	PUNCT
fcis-29385	131	14	suited	suit	VERB
fcis-29385	131	15	for	for	ADP
fcis-29385	131	16	this	this	DET
fcis-29385	131	17	set	set	NOUN
fcis-29385	131	18	of	of	ADP
fcis-29385	131	19	spectra	spectra	PROPN
fcis-29385	131	20	.	.	PROPN
fcis-29385	131	21	fig	fig	PROPN
fcis-29385	131	22	7	7	NUM
fcis-29385	131	23	.	.	PUNCT
fcis-29385	131	24	relationship	relationship	NOUN
fcis-29385	131	25	between	between	ADP
fcis-29385	131	26	pca	pca	PROPN
fcis-29385	131	27	algorithm	algorithm	NOUN
fcis-29385	131	28	dimensionality	dimensionality	NOUN
fcis-29385	131	29	reduction	reduction	NOUN
fcis-29385	131	30	,	,	PUNCT
fcis-29385	131	31	accuracy	accuracy	NOUN
fcis-29385	131	32	,	,	PUNCT
fcis-29385	131	33	and	and	CCONJ
fcis-29385	131	34	auc_macro	auc_macro	ADP
fcis-29385	131	35	the	the	DET
fcis-29385	131	36	cars	car	NOUN
fcis-29385	131	37	algorithm	algorithm	NOUN
fcis-29385	131	38	was	be	AUX
fcis-29385	131	39	used	use	VERB
fcis-29385	131	40	for	for	ADP
fcis-29385	131	41	feature	feature	NOUN
fcis-29385	131	42	extraction	extraction	NOUN
fcis-29385	131	43	on	on	ADP
fcis-29385	131	44	the	the	DET
fcis-29385	131	45	fiber	fiber	NOUN
fcis-29385	131	46	spectral	spectral	ADJ
fcis-29385	131	47	data	datum	NOUN
fcis-29385	131	48	.	.	PUNCT
fcis-29385	132	1	we	we	PRON
fcis-29385	132	2	set	set	VERB
fcis-29385	132	3	the	the	DET
fcis-29385	132	4	number	number	NOUN
fcis-29385	132	5	of	of	ADP
fcis-29385	132	6	selected	select	VERB
fcis-29385	132	7	features	feature	NOUN
fcis-29385	132	8	to	to	PART
fcis-29385	132	9	range	range	VERB
fcis-29385	132	10	from	from	ADP
fcis-29385	132	11	1	1	NUM
fcis-29385	132	12	to	to	PART
fcis-29385	132	13	20	20	NUM
fcis-29385	132	14	and	and	CCONJ
fcis-29385	132	15	analyzed	analyze	VERB
fcis-29385	132	16	the	the	DET
fcis-29385	132	17	classification	classification	NOUN
fcis-29385	132	18	accuracy	accuracy	NOUN
fcis-29385	132	19	and	and	CCONJ
fcis-29385	132	20	auc_macro	auc_macro	X
fcis-29385	132	21	of	of	ADP
fcis-29385	132	22	the	the	DET
fcis-29385	132	23	test	test	NOUN
fcis-29385	132	24	set	set	VERB
fcis-29385	132	25	data	datum	NOUN
fcis-29385	132	26	after	after	ADP
fcis-29385	132	27	combining	combine	VERB
fcis-29385	132	28	smotetomek	smotetomek	NOUN
fcis-29385	132	29	sampling	sampling	NOUN
fcis-29385	132	30	and	and	CCONJ
fcis-29385	132	31	the	the	DET
fcis-29385	132	32	sg_rf	sg_rf	PROPN
fcis-29385	132	33	model	model	NOUN
fcis-29385	132	34	.	.	PUNCT
fcis-29385	133	1	the	the	DET
fcis-29385	133	2	results	result	NOUN
fcis-29385	133	3	are	be	AUX
fcis-29385	133	4	shown	show	VERB
fcis-29385	133	5	in	in	ADP
fcis-29385	133	6	figure	figure	NOUN
fcis-29385	133	7	8	8	NUM
fcis-29385	133	8	.	.	PUNCT
fcis-29385	134	1	as	as	SCONJ
fcis-29385	134	2	the	the	DET
fcis-29385	134	3	number	number	NOUN
fcis-29385	134	4	of	of	ADP
fcis-29385	134	5	selected	select	VERB
fcis-29385	134	6	features	feature	NOUN
fcis-29385	134	7	increased	increase	VERB
fcis-29385	134	8	,	,	PUNCT
fcis-29385	134	9	both	both	DET
fcis-29385	134	10	classification	classification	NOUN
fcis-29385	134	11	accuracy	accuracy	NOUN
fcis-29385	134	12	and	and	CCONJ
fcis-29385	134	13	auc_macro	auc_macro	NOUN
fcis-29385	134	14	initially	initially	ADV
fcis-29385	134	15	increased	increase	VERB
fcis-29385	134	16	,	,	PUNCT
fcis-29385	134	17	then	then	ADV
fcis-29385	134	18	stabilized	stabilize	VERB
fcis-29385	134	19	.	.	PUNCT
fcis-29385	135	1	this	this	PRON
fcis-29385	135	2	indicates	indicate	VERB
fcis-29385	135	3	that	that	SCONJ
fcis-29385	135	4	further	further	ADJ
fcis-29385	135	5	95	95	NUM
fcis-29385	135	6	feature	feature	NOUN
fcis-29385	135	7	selection	selection	NOUN
fcis-29385	135	8	no	no	ADV
fcis-29385	135	9	longer	long	ADV
fcis-29385	135	10	captured	capture	VERB
fcis-29385	135	11	additional	additional	ADJ
fcis-29385	135	12	spectral	spectral	ADJ
fcis-29385	135	13	information	information	NOUN
fcis-29385	135	14	to	to	PART
fcis-29385	135	15	improve	improve	VERB
fcis-29385	135	16	classification	classification	NOUN
fcis-29385	135	17	results	result	NOUN
fcis-29385	135	18	.	.	PUNCT
fcis-29385	136	1	when	when	SCONJ
fcis-29385	136	2	the	the	DET
fcis-29385	136	3	number	number	NOUN
fcis-29385	136	4	of	of	ADP
fcis-29385	136	5	selected	select	VERB
fcis-29385	136	6	features	feature	NOUN
fcis-29385	136	7	was	be	AUX
fcis-29385	136	8	5	5	NUM
fcis-29385	136	9	,	,	PUNCT
fcis-29385	136	10	the	the	DET
fcis-29385	136	11	accuracy	accuracy	NOUN
fcis-29385	136	12	reached	reach	VERB
fcis-29385	136	13	93.9	93.9	NUM
fcis-29385	136	14	%	%	NOUN
fcis-29385	136	15	,	,	PUNCT
fcis-29385	136	16	and	and	CCONJ
fcis-29385	136	17	the	the	DET
fcis-29385	136	18	auc_macro	auc_macro	NOUN
fcis-29385	136	19	exceeded	exceed	VERB
fcis-29385	136	20	0.938	0.938	NUM
fcis-29385	136	21	,	,	PUNCT
fcis-29385	136	22	both	both	PRON
fcis-29385	136	23	of	of	ADP
fcis-29385	136	24	which	which	PRON
fcis-29385	136	25	were	be	AUX
fcis-29385	136	26	better	well	ADJ
fcis-29385	136	27	than	than	ADP
fcis-29385	136	28	the	the	DET
fcis-29385	136	29	classification	classification	NOUN
fcis-29385	136	30	results	result	NOUN
fcis-29385	136	31	of	of	ADP
fcis-29385	136	32	the	the	DET
fcis-29385	136	33	test	test	NOUN
fcis-29385	136	34	set	set	VERB
fcis-29385	136	35	without	without	ADP
fcis-29385	136	36	feature	feature	NOUN
fcis-29385	136	37	extraction	extraction	NOUN
fcis-29385	136	38	.	.	PUNCT
fcis-29385	137	1	additionally	additionally	ADV
fcis-29385	137	2	,	,	PUNCT
fcis-29385	137	3	compared	compare	VERB
fcis-29385	137	4	to	to	ADP
fcis-29385	137	5	the	the	DET
fcis-29385	137	6	pca	pca	PROPN
fcis-29385	137	7	algorithm	algorithm	NOUN
fcis-29385	137	8	,	,	PUNCT
fcis-29385	137	9	both	both	DET
fcis-29385	137	10	classification	classification	NOUN
fcis-29385	137	11	accuracy	accuracy	NOUN
fcis-29385	137	12	and	and	CCONJ
fcis-29385	137	13	auc_macro	auc_macro	X
fcis-29385	137	14	were	be	AUX
fcis-29385	137	15	slightly	slightly	ADV
fcis-29385	137	16	higher	high	ADJ
fcis-29385	137	17	after	after	ADP
fcis-29385	137	18	feature	feature	NOUN
fcis-29385	137	19	extraction	extraction	NOUN
fcis-29385	137	20	with	with	ADP
fcis-29385	137	21	cars	car	NOUN
fcis-29385	137	22	.	.	PUNCT
fcis-29385	138	1	these	these	DET
fcis-29385	138	2	results	result	NOUN
fcis-29385	138	3	indicate	indicate	VERB
fcis-29385	138	4	that	that	SCONJ
fcis-29385	138	5	the	the	DET
fcis-29385	138	6	cars	car	NOUN
fcis-29385	138	7	feature	feature	VERB
fcis-29385	138	8	extraction	extraction	NOUN
fcis-29385	138	9	method	method	NOUN
fcis-29385	138	10	is	be	AUX
fcis-29385	138	11	effective	effective	ADJ
fcis-29385	138	12	in	in	ADP
fcis-29385	138	13	improving	improve	VERB
fcis-29385	138	14	classification	classification	NOUN
fcis-29385	138	15	performance	performance	NOUN
fcis-29385	138	16	and	and	CCONJ
fcis-29385	138	17	slightly	slightly	ADV
fcis-29385	138	18	outperforms	outperform	VERB
fcis-29385	138	19	the	the	DET
fcis-29385	138	20	pca	pca	NOUN
fcis-29385	138	21	feature	feature	NOUN
fcis-29385	138	22	extraction	extraction	NOUN
fcis-29385	138	23	method	method	NOUN
fcis-29385	138	24	.	.	PUNCT
fcis-29385	139	1	fig	fig	NOUN
fcis-29385	139	2	8	8	NUM
fcis-29385	139	3	.	.	PUNCT
fcis-29385	140	1	relationship	relationship	NOUN
fcis-29385	140	2	between	between	ADP
fcis-29385	140	3	the	the	DET
fcis-29385	140	4	number	number	NOUN
fcis-29385	140	5	of	of	ADP
fcis-29385	140	6	features	feature	NOUN
fcis-29385	140	7	selected	select	VERB
fcis-29385	140	8	by	by	ADP
fcis-29385	140	9	the	the	DET
fcis-29385	140	10	cars	car	NOUN
fcis-29385	140	11	algorithm	algorithm	NOUN
fcis-29385	140	12	and	and	CCONJ
fcis-29385	140	13	accuracy	accuracy	NOUN
fcis-29385	140	14	and	and	CCONJ
fcis-29385	140	15	auc_macro	auc_macro	X
fcis-29385	140	16	4	4	X
fcis-29385	140	17	.	.	PUNCT
fcis-29385	141	1	summary	summary	NOUN
fcis-29385	141	2	this	this	DET
fcis-29385	141	3	study	study	NOUN
fcis-29385	141	4	demonstrates	demonstrate	VERB
fcis-29385	141	5	the	the	DET
fcis-29385	141	6	feasibility	feasibility	NOUN
fcis-29385	141	7	of	of	ADP
fcis-29385	141	8	using	use	VERB
fcis-29385	141	9	a	a	DET
fcis-29385	141	10	handheld	handheld	NOUN
fcis-29385	141	11	near	near	ADV
fcis-29385	141	12	-	-	PUNCT
fcis-29385	141	13	infrared	infrare	VERB
fcis-29385	141	14	spectrometer	spectrometer	NOUN
fcis-29385	141	15	combined	combine	VERB
fcis-29385	141	16	with	with	ADP
fcis-29385	141	17	smotetomek	smotetomek	PROPN
fcis-29385	141	18	combined	combine	VERB
fcis-29385	141	19	data	datum	NOUN
fcis-29385	141	20	sampling	sampling	NOUN
fcis-29385	141	21	,	,	PUNCT
fcis-29385	141	22	data	datum	NOUN
fcis-29385	141	23	preprocessing	preprocessing	NOUN
fcis-29385	141	24	algorithms	algorithm	NOUN
fcis-29385	141	25	,	,	PUNCT
fcis-29385	141	26	feature	feature	NOUN
fcis-29385	141	27	processing	processing	NOUN
fcis-29385	141	28	algorithms	algorithm	NOUN
fcis-29385	141	29	,	,	PUNCT
fcis-29385	141	30	and	and	CCONJ
fcis-29385	141	31	classification	classification	NOUN
fcis-29385	141	32	algorithms	algorithm	NOUN
fcis-29385	141	33	for	for	ADP
fcis-29385	141	34	fiber	fiber	NOUN
fcis-29385	141	35	classification	classification	NOUN
fcis-29385	141	36	.	.	PUNCT
fcis-29385	142	1	by	by	ADP
fcis-29385	142	2	using	use	VERB
fcis-29385	142	3	the	the	DET
fcis-29385	142	4	handheld	handheld	NOUN
fcis-29385	142	5	near	near	ADV
fcis-29385	142	6	-	-	PUNCT
fcis-29385	142	7	infrared	infrared	ADJ
fcis-29385	142	8	spectrometer	spectrometer	NOUN
fcis-29385	142	9	to	to	PART
fcis-29385	142	10	collect	collect	VERB
fcis-29385	142	11	spectral	spectral	ADJ
fcis-29385	142	12	data	datum	NOUN
fcis-29385	142	13	from	from	ADP
fcis-29385	142	14	fiber	fiber	NOUN
fcis-29385	142	15	samples	sample	NOUN
fcis-29385	142	16	,	,	PUNCT
fcis-29385	142	17	a	a	DET
fcis-29385	142	18	fiber	fiber	NOUN
fcis-29385	142	19	classification	classification	NOUN
fcis-29385	142	20	model	model	NOUN
fcis-29385	142	21	was	be	AUX
fcis-29385	142	22	established	establish	VERB
fcis-29385	142	23	.	.	PUNCT
fcis-29385	143	1	in	in	ADP
fcis-29385	143	2	fiber	fiber	NOUN
fcis-29385	143	3	classification	classification	NOUN
fcis-29385	143	4	analysis	analysis	NOUN
fcis-29385	143	5	,	,	PUNCT
fcis-29385	143	6	due	due	ADP
fcis-29385	143	7	to	to	ADP
fcis-29385	143	8	the	the	DET
fcis-29385	143	9	imbalance	imbalance	NOUN
fcis-29385	143	10	in	in	ADP
fcis-29385	143	11	fiber	fiber	NOUN
fcis-29385	143	12	sample	sample	NOUN
fcis-29385	143	13	data	datum	NOUN
fcis-29385	143	14	,	,	PUNCT
fcis-29385	143	15	smotetomek	smotetomek	X
fcis-29385	143	16	combined	combine	VERB
fcis-29385	143	17	data	datum	NOUN
fcis-29385	143	18	sampling	sampling	NOUN
fcis-29385	143	19	was	be	AUX
fcis-29385	143	20	used	use	VERB
fcis-29385	143	21	to	to	PART
fcis-29385	143	22	obtain	obtain	VERB
fcis-29385	143	23	a	a	DET
fcis-29385	143	24	balanced	balanced	ADJ
fcis-29385	143	25	training	training	NOUN
fcis-29385	143	26	dataset	dataset	NOUN
fcis-29385	143	27	,	,	PUNCT
fcis-29385	143	28	and	and	CCONJ
fcis-29385	143	29	auc_macro	auc_macro	NOUN
fcis-29385	143	30	and	and	CCONJ
fcis-29385	143	31	classification	classification	NOUN
fcis-29385	143	32	accuracy	accuracy	NOUN
fcis-29385	143	33	were	be	AUX
fcis-29385	143	34	employed	employ	VERB
fcis-29385	143	35	to	to	PART
fcis-29385	143	36	evaluate	evaluate	VERB
fcis-29385	143	37	the	the	DET
fcis-29385	143	38	model	model	NOUN
fcis-29385	143	39	’s	’s	PART
fcis-29385	143	40	performance	performance	NOUN
fcis-29385	143	41	.	.	PUNCT
fcis-29385	144	1	10	10	NUM
fcis-29385	144	2	-	-	ADJ
fcis-29385	144	3	fold	fold	ADJ
fcis-29385	144	4	cross	cross	NOUN
fcis-29385	144	5	-	-	ADJ
fcis-29385	144	6	validation	validation	NOUN
fcis-29385	144	7	was	be	AUX
fcis-29385	144	8	used	use	VERB
fcis-29385	144	9	to	to	PART
fcis-29385	144	10	determine	determine	VERB
fcis-29385	144	11	the	the	DET
fcis-29385	144	12	optimal	optimal	ADJ
fcis-29385	144	13	preprocessing	preprocessing	NOUN
fcis-29385	144	14	algorithm	algorithm	NOUN
fcis-29385	144	15	,	,	PUNCT
fcis-29385	144	16	classification	classification	NOUN
fcis-29385	144	17	algorithm	algorithm	NOUN
fcis-29385	144	18	,	,	PUNCT
fcis-29385	144	19	and	and	CCONJ
fcis-29385	144	20	sampling	sample	VERB
fcis-29385	144	21	sequence	sequence	NOUN
fcis-29385	144	22	.	.	PUNCT
fcis-29385	145	1	finally	finally	ADV
fcis-29385	145	2	,	,	PUNCT
fcis-29385	145	3	smotetomek	smotetomek	X
fcis-29385	145	4	combined	combine	VERB
fcis-29385	145	5	sampling	sampling	NOUN
fcis-29385	145	6	was	be	AUX
fcis-29385	145	7	performed	perform	VERB
fcis-29385	145	8	before	before	ADP
fcis-29385	145	9	data	data	NOUN
fcis-29385	145	10	preprocessing	preprocessing	NOUN
fcis-29385	145	11	.	.	PUNCT
fcis-29385	146	1	after	after	ADP
fcis-29385	146	2	applying	apply	VERB
fcis-29385	146	3	the	the	DET
fcis-29385	146	4	determined	determined	ADJ
fcis-29385	146	5	sg_rf	sg_rf	NOUN
fcis-29385	146	6	analysis	analysis	NOUN
fcis-29385	146	7	model	model	NOUN
fcis-29385	146	8	,	,	PUNCT
fcis-29385	146	9	the	the	DET
fcis-29385	146	10	classification	classification	NOUN
fcis-29385	146	11	accuracy	accuracy	NOUN
fcis-29385	146	12	of	of	ADP
fcis-29385	146	13	the	the	DET
fcis-29385	146	14	test	test	NOUN
fcis-29385	146	15	set	set	VERB
fcis-29385	146	16	data	datum	NOUN
fcis-29385	146	17	reached	reach	VERB
fcis-29385	146	18	93.7	93.7	NUM
fcis-29385	146	19	%	%	NOUN
fcis-29385	146	20	,	,	PUNCT
fcis-29385	146	21	with	with	ADP
fcis-29385	146	22	an	an	DET
fcis-29385	146	23	auc_macro	auc_macro	NOUN
fcis-29385	146	24	of	of	ADP
fcis-29385	146	25	0.928	0.928	NUM
fcis-29385	146	26	.	.	PUNCT
fcis-29385	147	1	when	when	SCONJ
fcis-29385	147	2	cars	car	NOUN
fcis-29385	147	3	feature	feature	VERB
fcis-29385	147	4	extraction	extraction	NOUN
fcis-29385	147	5	was	be	AUX
fcis-29385	147	6	applied	apply	VERB
fcis-29385	147	7	with	with	ADP
fcis-29385	147	8	5	5	NUM
fcis-29385	147	9	selected	select	VERB
fcis-29385	147	10	features	feature	NOUN
fcis-29385	147	11	,	,	PUNCT
fcis-29385	147	12	the	the	DET
fcis-29385	147	13	classification	classification	NOUN
fcis-29385	147	14	accuracy	accuracy	NOUN
fcis-29385	147	15	of	of	ADP
fcis-29385	147	16	the	the	DET
fcis-29385	147	17	test	test	NOUN
fcis-29385	147	18	set	set	VERB
fcis-29385	147	19	increased	increase	VERB
fcis-29385	147	20	to	to	ADP
fcis-29385	147	21	93.9	93.9	NUM
fcis-29385	147	22	%	%	NOUN
fcis-29385	147	23	,	,	PUNCT
fcis-29385	147	24	and	and	CCONJ
fcis-29385	147	25	the	the	DET
fcis-29385	147	26	auc_macro	auc_macro	NOUN
fcis-29385	147	27	improved	improve	VERB
fcis-29385	147	28	to	to	ADP
fcis-29385	147	29	0.938	0.938	NUM
fcis-29385	147	30	.	.	PUNCT
fcis-29385	148	1	when	when	SCONJ
fcis-29385	148	2	the	the	DET
fcis-29385	148	3	number	number	NOUN
fcis-29385	148	4	of	of	ADP
fcis-29385	148	5	selected	select	VERB
fcis-29385	148	6	features	feature	NOUN
fcis-29385	148	7	was	be	AUX
fcis-29385	148	8	increased	increase	VERB
fcis-29385	148	9	to	to	ADP
fcis-29385	148	10	20	20	NUM
fcis-29385	148	11	,	,	PUNCT
fcis-29385	148	12	the	the	DET
fcis-29385	148	13	classification	classification	NOUN
fcis-29385	148	14	accuracy	accuracy	NOUN
fcis-29385	148	15	of	of	ADP
fcis-29385	148	16	the	the	DET
fcis-29385	148	17	test	test	NOUN
fcis-29385	148	18	set	set	NOUN
fcis-29385	148	19	reached	reach	VERB
fcis-29385	148	20	94.5	94.5	NUM
fcis-29385	148	21	%	%	NOUN
fcis-29385	148	22	,	,	PUNCT
fcis-29385	148	23	with	with	ADP
fcis-29385	148	24	an	an	DET
fcis-29385	148	25	auc_macro	auc_macro	NOUN
fcis-29385	148	26	of	of	ADP
fcis-29385	148	27	0.940	0.940	NUM
fcis-29385	148	28	.	.	PUNCT
fcis-29385	149	1	in	in	ADP
fcis-29385	149	2	conclusion	conclusion	NOUN
fcis-29385	149	3	,	,	PUNCT
fcis-29385	149	4	our	our	PRON
fcis-29385	149	5	research	research	NOUN
fcis-29385	149	6	results	result	NOUN
fcis-29385	149	7	show	show	VERB
fcis-29385	149	8	that	that	SCONJ
fcis-29385	149	9	the	the	DET
fcis-29385	149	10	handheld	handheld	NOUN
fcis-29385	149	11	nearinfrared	nearinfrare	VERB
fcis-29385	149	12	spectrometer	spectrometer	NOUN
fcis-29385	149	13	,	,	PUNCT
fcis-29385	149	14	combined	combine	VERB
fcis-29385	149	15	with	with	ADP
fcis-29385	149	16	relevant	relevant	ADJ
fcis-29385	149	17	chemometric	chemometric	ADJ
fcis-29385	149	18	applications	application	NOUN
fcis-29385	149	19	,	,	PUNCT
fcis-29385	149	20	can	can	AUX
fcis-29385	149	21	achieve	achieve	VERB
fcis-29385	149	22	a	a	DET
fcis-29385	149	23	classification	classification	NOUN
fcis-29385	149	24	accuracy	accuracy	NOUN
fcis-29385	149	25	exceeding	exceed	VERB
fcis-29385	149	26	94	94	NUM
fcis-29385	149	27	%	%	NOUN
fcis-29385	149	28	and	and	CCONJ
fcis-29385	149	29	an	an	DET
fcis-29385	149	30	auc_macro	auc_macro	NOUN
fcis-29385	149	31	value	value	NOUN
fcis-29385	149	32	over	over	ADP
fcis-29385	149	33	0.940	0.940	NUM
fcis-29385	149	34	in	in	ADP
fcis-29385	149	35	fiber	fiber	NOUN
fcis-29385	149	36	classification	classification	NOUN
fcis-29385	149	37	.	.	PUNCT
fcis-29385	150	1	this	this	PRON
fcis-29385	150	2	provides	provide	VERB
fcis-29385	150	3	fast	fast	ADJ
fcis-29385	150	4	,	,	PUNCT
fcis-29385	150	5	convenient	convenient	ADJ
fcis-29385	150	6	,	,	PUNCT
fcis-29385	150	7	and	and	CCONJ
fcis-29385	150	8	nondestructive	nondestructive	ADJ
fcis-29385	150	9	technical	technical	ADJ
fcis-29385	150	10	support	support	NOUN
fcis-29385	150	11	for	for	ADP
fcis-29385	150	12	the	the	DET
fcis-29385	150	13	classification	classification	NOUN
fcis-29385	150	14	of	of	ADP
fcis-29385	150	15	fibers	fiber	NOUN
fcis-29385	150	16	.	.	PUNCT
fcis-29385	151	1	references	reference	NOUN
fcis-29385	151	2	[	[	X
fcis-29385	151	3	1	1	NUM
fcis-29385	151	4	]	]	PUNCT
fcis-29385	151	5	zhang	zhang	PROPN
fcis-29385	151	6	jingwen	jingwen	PROPN
fcis-29385	151	7	yuan	yuan	PROPN
fcis-29385	151	8	bingnian	bingnian	PROPN
fcis-29385	151	9	,	,	PUNCT
fcis-29385	151	10	“	"	PUNCT
fcis-29385	151	11	a	a	DET
fcis-29385	151	12	review	review	NOUN
fcis-29385	151	13	of	of	ADP
fcis-29385	151	14	the	the	DET
fcis-29385	151	15	application	application	NOUN
fcis-29385	151	16	of	of	ADP
fcis-29385	151	17	qualitative	qualitative	ADJ
fcis-29385	151	18	analysis	analysis	NOUN
fcis-29385	151	19	methods	method	NOUN
fcis-29385	151	20	for	for	ADP
fcis-29385	151	21	fiber	fiber	NOUN
fcis-29385	151	22	content	content	NOUN
fcis-29385	151	23	in	in	ADP
fcis-29385	151	24	textiles	textile	NOUN
fcis-29385	151	25	”	"	PUNCT
fcis-29385	151	26	.	.	PUNCT
fcis-29385	152	1	[	[	X
fcis-29385	152	2	2	2	NUM
fcis-29385	152	3	]	]	PUNCT
fcis-29385	152	4	chai	chai	NOUN
fcis-29385	152	5	jinchao	jinchao	PROPN
fcis-29385	152	6	,	,	PUNCT
fcis-29385	152	7	jin	jin	PROPN
fcis-29385	152	8	shangzhong	shangzhong	PROPN
fcis-29385	152	9	,	,	PUNCT
fcis-29385	152	10	“	"	PUNCT
fcis-29385	152	11	application	application	NOUN
fcis-29385	152	12	of	of	ADP
fcis-29385	152	13	near	near	ADJ
fcis-29385	152	14	infrared	infrared	ADJ
fcis-29385	152	15	spectroscopy	spectroscopy	NOUN
fcis-29385	152	16	in	in	ADP
fcis-29385	152	17	qualitative	qualitative	ADJ
fcis-29385	152	18	testing	testing	NOUN
fcis-29385	152	19	of	of	ADP
fcis-29385	152	20	textiles	textile	NOUN
fcis-29385	152	21	”	"	PUNCT
fcis-29385	152	22	.	.	PUNCT
fcis-29385	153	1	[	[	X
fcis-29385	153	2	3	3	X
fcis-29385	153	3	]	]	X
fcis-29385	153	4	wang	wang	PROPN
fcis-29385	153	5	danhong	danhong	PROPN
fcis-29385	153	6	,	,	PUNCT
fcis-29385	153	7	wu	wu	PROPN
fcis-29385	153	8	wenxi	wenxi	PROPN
fcis-29385	153	9	,	,	PUNCT
fcis-29385	153	10	lin	lin	PROPN
fcis-29385	153	11	zhiwu	zhiwu	PROPN
fcis-29385	153	12	,	,	PUNCT
fcis-29385	153	13	tu	tu	PROPN
fcis-29385	153	14	mandi	mandi	PROPN
fcis-29385	153	15	,	,	PUNCT
fcis-29385	153	16	“	"	PUNCT
fcis-29385	153	17	identification	identification	NOUN
fcis-29385	153	18	of	of	ADP
fcis-29385	153	19	four	four	NUM
fcis-29385	153	20	types	type	NOUN
fcis-29385	153	21	of	of	ADP
fcis-29385	153	22	fibers	fiber	NOUN
fcis-29385	153	23	including	include	VERB
fcis-29385	153	24	tencel	tencel	NOUN
fcis-29385	153	25	by	by	ADP
fcis-29385	153	26	near	near	ADP
fcis-29385	153	27	infrared	infrared	ADJ
fcis-29385	153	28	spectroscopy	spectroscopy	NOUN
fcis-29385	153	29	”	"	PUNCT
fcis-29385	153	30	.	.	PUNCT
fcis-29385	154	1	[	[	X
fcis-29385	154	2	4	4	NUM
fcis-29385	154	3	]	]	X
fcis-29385	154	4	fu	fu	PROPN
fcis-29385	154	5	jianhua	jianhua	NOUN
fcis-29385	154	6	,	,	PUNCT
fcis-29385	154	7	“	"	PUNCT
fcis-29385	154	8	application	application	NOUN
fcis-29385	154	9	of	of	ADP
fcis-29385	154	10	near	near	ADJ
fcis-29385	154	11	infrared	infrared	ADJ
fcis-29385	154	12	spectroscopy	spectroscopy	NOUN
fcis-29385	154	13	in	in	ADP
fcis-29385	154	14	textile	textile	NOUN
fcis-29385	154	15	testing	testing	NOUN
fcis-29385	154	16	”	"	PUNCT
fcis-29385	154	17	.	.	PUNCT
fcis-29385	155	1	[	[	X
fcis-29385	155	2	5	5	NUM
fcis-29385	155	3	]	]	PUNCT
fcis-29385	155	4	a.	a.	NOUN
fcis-29385	155	5	aljannahi	aljannahi	ADP
fcis-29385	155	6	et	et	PROPN
fcis-29385	155	7	al	al	PROPN
fcis-29385	155	8	.	.	PROPN
fcis-29385	155	9	,	,	PUNCT
fcis-29385	155	10	“	"	PUNCT
fcis-29385	155	11	forensic	forensic	ADJ
fcis-29385	155	12	analysis	analysis	NOUN
fcis-29385	155	13	of	of	ADP
fcis-29385	155	14	textile	textile	NOUN
fcis-29385	155	15	synthetic	synthetic	ADJ
fcis-29385	155	16	fibers	fiber	NOUN
fcis-29385	155	17	using	use	VERB
fcis-29385	155	18	a	a	DET
fcis-29385	155	19	ft	ft	NOUN
fcis-29385	155	20	-	-	PUNCT
fcis-29385	155	21	ir	ir	PROPN
fcis-29385	155	22	spectroscopy	spectroscopy	NOUN
fcis-29385	155	23	approach	approach	NOUN
fcis-29385	155	24	,	,	PUNCT
fcis-29385	155	25	”	"	PUNCT
fcis-29385	155	26	molecules	molecule	NOUN
fcis-29385	155	27	,	,	PUNCT
fcis-29385	155	28	vol	vol	NOUN
fcis-29385	155	29	.	.	PROPN
fcis-29385	155	30	27	27	NUM
fcis-29385	155	31	,	,	PUNCT
fcis-29385	155	32	no	no	INTJ
fcis-29385	155	33	.	.	NOUN
fcis-29385	155	34	13	13	NUM
fcis-29385	155	35	,	,	PUNCT
fcis-29385	155	36	p.	p.	NOUN
fcis-29385	155	37	4281	4281	NUM
fcis-29385	155	38	,	,	PUNCT
fcis-29385	155	39	jul	jul	PROPN
fcis-29385	155	40	.	.	PROPN
fcis-29385	155	41	2022	2022	NUM
fcis-29385	155	42	,	,	PUNCT
fcis-29385	155	43	doi	doi	NOUN
fcis-29385	155	44	:	:	PUNCT
fcis-29385	155	45	10.3390	10.3390	NUM
fcis-29385	155	46	/	/	SYM
fcis-29385	155	47	molecules	molecule	NOUN
fcis-29385	155	48	2713	2713	NUM
fcis-29385	155	49	4281	4281	NUM
fcis-29385	155	50	.	.	PUNCT
fcis-29385	156	1	[	[	X
fcis-29385	156	2	6	6	NUM
fcis-29385	156	3	]	]	PUNCT
fcis-29385	156	4	p.	p.	NOUN
fcis-29385	156	5	chapanya	chapanya	PROPN
fcis-29385	156	6	,	,	PUNCT
fcis-29385	156	7	p.	p.	PROPN
fcis-29385	156	8	ritthiruangdej	ritthiruangdej	NOUN
fcis-29385	156	9	,	,	PUNCT
fcis-29385	156	10	r.	r.	PROPN
fcis-29385	156	11	mueangmontri	mueangmontri	PROPN
fcis-29385	156	12	,	,	PUNCT
fcis-29385	156	13	a.	a.	NOUN
fcis-29385	156	14	pattamasuwan	pattamasuwan	NOUN
fcis-29385	156	15	,	,	PUNCT
fcis-29385	156	16	and	and	CCONJ
fcis-29385	156	17	w.	w.	PROPN
fcis-29385	156	18	vanichsriratana	vanichsriratana	PROPN
fcis-29385	156	19	,	,	PUNCT
fcis-29385	156	20	“	"	PUNCT
fcis-29385	156	21	temperature	temperature	NOUN
fcis-29385	156	22	compensation	compensation	NOUN
fcis-29385	156	23	on	on	ADP
fcis-29385	156	24	sugar	sugar	NOUN
fcis-29385	156	25	content	content	NOUN
fcis-29385	156	26	prediction	prediction	NOUN
fcis-29385	156	27	of	of	ADP
fcis-29385	156	28	molasses	molasse	NOUN
fcis-29385	156	29	by	by	ADP
fcis-29385	156	30	near	near	ADV
fcis-29385	156	31	-	-	PUNCT
fcis-29385	156	32	infrared	infrared	ADJ
fcis-29385	156	33	spectroscopy	spectroscopy	NOUN
fcis-29385	156	34	(	(	PUNCT
fcis-29385	156	35	nir	nir	NOUN
fcis-29385	156	36	)	)	PUNCT
fcis-29385	156	37	,	,	PUNCT
fcis-29385	156	38	”	"	PUNCT
fcis-29385	156	39	sugar	sugar	NOUN
fcis-29385	156	40	tech	tech	NOUN
fcis-29385	156	41	,	,	PUNCT
fcis-29385	156	42	vol	vol	NOUN
fcis-29385	156	43	.	.	PROPN
fcis-29385	156	44	21	21	NUM
fcis-29385	156	45	,	,	PUNCT
fcis-29385	156	46	no	no	INTJ
fcis-29385	156	47	.	.	NOUN
fcis-29385	156	48	1	1	NUM
fcis-29385	156	49	,	,	PUNCT
fcis-29385	156	50	pp	pp	ADJ
fcis-29385	156	51	.	.	PUNCT
fcis-29385	157	1	162–169	162–169	NUM
fcis-29385	157	2	,	,	PUNCT
fcis-29385	157	3	feb	feb	PROPN
fcis-29385	157	4	.	.	PROPN
fcis-29385	157	5	2019	2019	NUM
fcis-29385	157	6	,	,	PUNCT
fcis-29385	157	7	doi	doi	NOUN
fcis-29385	157	8	:	:	PUNCT
fcis-29385	157	9	10.1007	10.1007	NUM
fcis-29385	157	10	/	/	SYM
fcis-29385	157	11	s12355	s12355	NOUN
fcis-29385	157	12	-	-	PUNCT
fcis-29385	157	13	018	018	NUM
fcis-29385	157	14	-	-	PUNCT
fcis-29385	157	15	0635	0635	NUM
fcis-29385	157	16	-	-	PUNCT
fcis-29385	157	17	x.	x.	NOUN
fcis-29385	158	1	[	[	X
fcis-29385	158	2	7	7	X
fcis-29385	158	3	]	]	X
fcis-29385	158	4	q.	q.	PROPN
fcis-29385	158	5	du	du	PROPN
fcis-29385	158	6	et	et	PROPN
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fcis-29385	158	20	sunflower	sunflower	NOUN
fcis-29385	158	21	oil	oil	NOUN
fcis-29385	158	22	in	in	ADP
fcis-29385	158	23	camellia	camellia	NOUN
fcis-29385	158	24	oil	oil	NOUN
fcis-29385	158	25	by	by	ADP
fcis-29385	158	26	in	in	ADP
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fcis-29385	158	28	diffuse	diffuse	NOUN
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fcis-29385	158	33	spectroscopy	spectroscopy	NOUN
fcis-29385	158	34	and	and	CCONJ
fcis-29385	158	35	chemometrics	chemometric	NOUN
fcis-29385	158	36	,	,	PUNCT
fcis-29385	158	37	”	"	PUNCT
fcis-29385	158	38	food	food	NOUN
fcis-29385	158	39	control	control	NOUN
fcis-29385	158	40	,	,	PUNCT
fcis-29385	158	41	vol	vol	NOUN
fcis-29385	158	42	.	.	PROPN
fcis-29385	158	43	121	121	NUM
fcis-29385	158	44	,	,	PUNCT
fcis-29385	158	45	p.	p.	NOUN
fcis-29385	158	46	107577	107577	NUM
fcis-29385	158	47	,	,	PUNCT
fcis-29385	158	48	mar	mar	PROPN
fcis-29385	158	49	.	.	PROPN
fcis-29385	158	50	2021	2021	NUM
fcis-29385	158	51	,	,	PUNCT
fcis-29385	158	52	doi	doi	NOUN
fcis-29385	158	53	:	:	PUNCT
fcis-29385	158	54	10.1016	10.1016	NUM
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fcis-29385	158	56	j.	j.	PROPN
fcis-29385	158	57	foodcont	foodcont	PROPN
fcis-29385	158	58	.	.	PUNCT
fcis-29385	159	1	2020	2020	NUM
fcis-29385	159	2	.	.	PUNCT
fcis-29385	160	1	107577	107577	NUM
fcis-29385	160	2	.	.	PUNCT
fcis-29385	161	1	[	[	X
fcis-29385	161	2	8	8	X
fcis-29385	161	3	]	]	X
fcis-29385	161	4	h.	h.	PROPN
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fcis-29385	161	6	and	and	CCONJ
fcis-29385	161	7	h.	h.	PROPN
fcis-29385	161	8	w.	w.	PROPN
fcis-29385	161	9	siesler	siesler	PROPN
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fcis-29385	161	11	“	"	PUNCT
fcis-29385	161	12	identification	identification	NOUN
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fcis-29385	161	16	types	type	NOUN
fcis-29385	161	17	of	of	ADP
fcis-29385	161	18	handheld	handheld	ADJ
fcis-29385	161	19	near	near	ADV
fcis-29385	161	20	-	-	PUNCT
fcis-29385	161	21	infrared	infrared	ADJ
fcis-29385	161	22	(	(	PUNCT
fcis-29385	161	23	nir	nir	NOUN
fcis-29385	161	24	)	)	PUNCT
fcis-29385	161	25	spectrometers	spectrometer	NOUN
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fcis-29385	161	27	the	the	DET
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fcis-29385	161	29	of	of	ADP
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fcis-29385	161	31	commodities	commodity	NOUN
fcis-29385	161	32	,	,	PUNCT
fcis-29385	161	33	”	"	PUNCT
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fcis-29385	161	37	.	.	PUNCT
fcis-29385	161	38	,	,	PUNCT
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fcis-29385	161	40	.	.	PROPN
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fcis-29385	161	42	,	,	PUNCT
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fcis-29385	161	44	.	.	NOUN
fcis-29385	161	45	9	9	NUM
fcis-29385	161	46	,	,	PUNCT
fcis-29385	161	47	pp	pp	ADJ
fcis-29385	161	48	.	.	PUNCT
fcis-29385	162	1	1362–1370	1362–1370	NUM
fcis-29385	162	2	,	,	PUNCT
fcis-29385	162	3	sep	sep	PROPN
fcis-29385	162	4	.	.	PROPN
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fcis-29385	163	2	,	,	PUNCT
fcis-29385	163	3	doi	doi	NOUN
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fcis-29385	163	5	10	10	NUM
fcis-29385	163	6	.	.	PUNCT
fcis-29385	164	1	1177/0003702818777260	1177/0003702818777260	NUM
fcis-29385	164	2	.	.	PUNCT
fcis-29385	165	1	[	[	X
fcis-29385	165	2	9	9	NUM
fcis-29385	165	3	]	]	PUNCT
fcis-29385	165	4	ye	ye	NUM
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fcis-29385	165	6	,	,	PUNCT
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fcis-29385	165	10	yang	yang	PROPN
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fcis-29385	165	12	,	,	PUNCT
fcis-29385	165	13	chen	chen	PROPN
fcis-29385	165	14	chaohong	chaohong	PROPN
fcis-29385	165	15	,	,	PUNCT
fcis-29385	165	16	wang	wang	PROPN
fcis-29385	165	17	zhenhua	zhenhua	PROPN
fcis-29385	165	18	,	,	PUNCT
fcis-29385	165	19	huo	huo	PROPN
fcis-29385	165	20	zhengtong	zhengtong	PROPN
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fcis-29385	165	22	qu	qu	PROPN
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fcis-29385	165	24	,	,	PUNCT
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fcis-29385	165	28	“	"	PUNCT
fcis-29385	165	29	multifeature	multifeature	NOUN
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fcis-29385	165	35	on	on	ADP
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fcis-29385	165	40	.	.	PUNCT
fcis-29385	166	1	[	[	X
fcis-29385	166	2	10	10	NUM
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fcis-29385	166	4	d.	d.	PROPN
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fcis-29385	166	10	p.	p.	PROPN
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fcis-29385	166	21	“	"	PUNCT
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fcis-29385	166	38	”	"	PUNCT
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fcis-29385	166	40	.	.	PUNCT
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fcis-29385	167	2	,	,	PUNCT
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fcis-29385	167	4	.	.	PROPN
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fcis-29385	167	6	,	,	PUNCT
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fcis-29385	167	9	5	5	NUM
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fcis-29385	168	6	,	,	PUNCT
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fcis-29385	169	19	“	"	PUNCT
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fcis-29385	169	21	-	-	PUNCT
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fcis-29385	170	3	]	]	PUNCT
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fcis-29385	174	9	.	.	PUNCT
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fcis-29385	175	2	,	,	PUNCT
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fcis-29385	176	31	transformation	transformation	NOUN
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fcis-29385	176	33	”	"	PUNCT
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fcis-29385	177	1	chim	chim	PROPN
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fcis-29385	178	1	acta	acta	PROPN
fcis-29385	178	2	,	,	PUNCT
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fcis-29385	178	4	.	.	PROPN
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fcis-29385	179	2	,	,	PUNCT
fcis-29385	179	3	pp	pp	ADJ
fcis-29385	179	4	.	.	PUNCT
fcis-29385	180	1	30–40	30–40	NUM
fcis-29385	180	2	,	,	PUNCT
fcis-29385	180	3	feb	feb	PROPN
fcis-29385	180	4	.	.	PROPN
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fcis-29385	180	6	,	,	PUNCT
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fcis-29385	181	46	,	,	PUNCT
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fcis-29385	185	44	.	.	PUNCT
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fcis-29385	186	2	,	,	PUNCT
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fcis-29385	187	11	“	"	PUNCT
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fcis-29385	193	1	[	[	X
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fcis-29385	194	1	[	[	X
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