id	sid	tid	token	lemma	pos
brj-23074	1	1	peer	peer	NOUN
brj-23074	1	2	-	-	PUNCT
brj-23074	1	3	review	review	NOUN
brj-23074	1	4	article	article	NOUN
brj-23074	1	5	peer	peer	NOUN
brj-23074	1	6	-	-	PUNCT
brj-23074	1	7	reviewed	review	VERB
brj-23074	1	8	article	article	NOUN
brj-23074	1	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	1	10	hwang	hwang	PROPN
brj-23074	1	11	et	et	PROPN
brj-23074	1	12	al	al	PROPN
brj-23074	1	13	.	.	PROPN
brj-23074	2	1	(	(	PUNCT
brj-23074	2	2	2024	2024	NUM
brj-23074	2	3	)	)	PUNCT
brj-23074	2	4	.	.	PUNCT
brj-23074	3	1	“	"	PUNCT
brj-23074	3	2	nir	nir	X
brj-23074	3	3	for	for	ADP
brj-23074	3	4	paper	paper	NOUN
brj-23074	3	5	classification	classification	NOUN
brj-23074	3	6	,	,	PUNCT
brj-23074	3	7	”	"	PUNCT
brj-23074	3	8	bioresources	bioresource	NOUN
brj-23074	3	9	19(1	19(1	NUM
brj-23074	3	10	)	)	PUNCT
brj-23074	3	11	,	,	PUNCT
brj-23074	3	12	1633	1633	NUM
brj-23074	3	13	-	-	SYM
brj-23074	3	14	1651	1651	NUM
brj-23074	3	15	.	.	PUNCT
brj-23074	4	1	1633	1633	NUM
brj-23074	4	2	one	one	NUM
brj-23074	4	3	-	-	PUNCT
brj-23074	4	4	dimensional	dimensional	ADJ
brj-23074	4	5	convolutional	convolutional	ADJ
brj-23074	4	6	neural	neural	ADJ
brj-23074	4	7	networks	network	NOUN
brj-23074	4	8	with	with	ADP
brj-23074	4	9	infrared	infrared	ADJ
brj-23074	4	10	spectroscopy	spectroscopy	NOUN
brj-23074	4	11	for	for	ADP
brj-23074	4	12	classifying	classify	VERB
brj-23074	4	13	the	the	DET
brj-23074	4	14	origin	origin	NOUN
brj-23074	4	15	of	of	ADP
brj-23074	4	16	printing	printing	NOUN
brj-23074	4	17	paper	paper	NOUN
brj-23074	4	18	sung	sung	NOUN
brj-23074	4	19	-	-	PUNCT
brj-23074	4	20	wook	wook	NOUN
brj-23074	4	21	hwang	hwang	PROPN
brj-23074	4	22	,	,	PUNCT
brj-23074	4	23	a	a	DET
brj-23074	4	24	geungyong	geungyong	NOUN
brj-23074	4	25	park	park	NOUN
brj-23074	4	26	,	,	PUNCT
brj-23074	4	27	b	b	PROPN
brj-23074	4	28	jinho	jinho	VERB
brj-23074	4	29	kim	kim	PROPN
brj-23074	4	30	,	,	PUNCT
brj-23074	4	31	b	b	PROPN
brj-23074	4	32	kwang	kwang	PROPN
brj-23074	4	33	-	-	PUNCT
brj-23074	4	34	ho	ho	PROPN
brj-23074	4	35	kang	kang	PROPN
brj-23074	4	36	,	,	PUNCT
brj-23074	4	37	c	c	X
brj-23074	4	38	,	,	PUNCT
brj-23074	4	39	*	*	PUNCT
brj-23074	4	40	and	and	CCONJ
brj-23074	4	41	won	win	VERB
brj-23074	4	42	-	-	PUNCT
brj-23074	4	43	hee	hee	NOUN
brj-23074	4	44	lee	lee	PROPN
brj-23074	4	45	b	b	PROPN
brj-23074	4	46	,	,	PUNCT
brj-23074	4	47	*	*	PUNCT
brj-23074	4	48	herein	herein	NOUN
brj-23074	4	49	,	,	PUNCT
brj-23074	4	50	the	the	DET
brj-23074	4	51	challenge	challenge	NOUN
brj-23074	4	52	of	of	ADP
brj-23074	4	53	accurately	accurately	ADV
brj-23074	4	54	classifying	classify	VERB
brj-23074	4	55	the	the	DET
brj-23074	4	56	manufacturing	manufacture	VERB
brj-23074	4	57	origin	origin	NOUN
brj-23074	4	58	of	of	ADP
brj-23074	4	59	printing	printing	NOUN
brj-23074	4	60	paper	paper	NOUN
brj-23074	4	61	,	,	PUNCT
brj-23074	4	62	including	include	VERB
brj-23074	4	63	continent	continent	NOUN
brj-23074	4	64	,	,	PUNCT
brj-23074	4	65	country	country	NOUN
brj-23074	4	66	,	,	PUNCT
brj-23074	4	67	and	and	CCONJ
brj-23074	4	68	specific	specific	ADJ
brj-23074	4	69	product	product	NOUN
brj-23074	4	70	,	,	PUNCT
brj-23074	4	71	was	be	AUX
brj-23074	4	72	addressed	address	VERB
brj-23074	4	73	.	.	PUNCT
brj-23074	5	1	one	one	NUM
brj-23074	5	2	-	-	PUNCT
brj-23074	5	3	dimensional	dimensional	ADJ
brj-23074	5	4	convolutional	convolutional	ADJ
brj-23074	5	5	neural	neural	ADJ
brj-23074	5	6	network	network	NOUN
brj-23074	5	7	(	(	PUNCT
brj-23074	5	8	1d	1d	NUM
brj-23074	5	9	cnn	cnn	PROPN
brj-23074	5	10	)	)	PUNCT
brj-23074	5	11	models	model	NOUN
brj-23074	5	12	trained	train	VERB
brj-23074	5	13	on	on	ADP
brj-23074	5	14	infrared	infrared	PROPN
brj-23074	5	15	(	(	PUNCT
brj-23074	5	16	ir	ir	NOUN
brj-23074	5	17	)	)	PUNCT
brj-23074	5	18	spectrum	spectrum	NOUN
brj-23074	5	19	data	datum	NOUN
brj-23074	5	20	acquired	acquire	VERB
brj-23074	5	21	from	from	ADP
brj-23074	5	22	printing	print	VERB
brj-23074	5	23	paper	paper	NOUN
brj-23074	5	24	samples	sample	NOUN
brj-23074	5	25	were	be	AUX
brj-23074	5	26	used	use	VERB
brj-23074	5	27	for	for	ADP
brj-23074	5	28	the	the	DET
brj-23074	5	29	task	task	NOUN
brj-23074	5	30	.	.	PUNCT
brj-23074	6	1	the	the	DET
brj-23074	6	2	preprocessing	preprocessing	NOUN
brj-23074	6	3	of	of	ADP
brj-23074	6	4	the	the	DET
brj-23074	6	5	ir	ir	PROPN
brj-23074	6	6	spectra	spectra	PROPN
brj-23074	6	7	through	through	ADP
brj-23074	6	8	a	a	DET
brj-23074	6	9	second	second	ADJ
brj-23074	6	10	-	-	PUNCT
brj-23074	6	11	derivative	derivative	ADJ
brj-23074	6	12	transformation	transformation	NOUN
brj-23074	6	13	and	and	CCONJ
brj-23074	6	14	the	the	DET
brj-23074	6	15	restriction	restriction	NOUN
brj-23074	6	16	of	of	ADP
brj-23074	6	17	the	the	DET
brj-23074	6	18	spectral	spectral	ADJ
brj-23074	6	19	range	range	NOUN
brj-23074	6	20	to	to	ADP
brj-23074	6	21	1800	1800	NUM
brj-23074	6	22	to	to	ADP
brj-23074	6	23	1200	1200	NUM
brj-23074	6	24	cm-1	cm-1	NOUN
brj-23074	6	25	improved	improve	VERB
brj-23074	6	26	the	the	DET
brj-23074	6	27	classification	classification	NOUN
brj-23074	6	28	performance	performance	NOUN
brj-23074	6	29	of	of	ADP
brj-23074	6	30	the	the	DET
brj-23074	6	31	model	model	NOUN
brj-23074	6	32	.	.	PUNCT
brj-23074	7	1	the	the	DET
brj-23074	7	2	outcomes	outcome	NOUN
brj-23074	7	3	were	be	AUX
brj-23074	7	4	highly	highly	ADV
brj-23074	7	5	promising	promising	ADJ
brj-23074	7	6	.	.	PUNCT
brj-23074	8	1	models	model	NOUN
brj-23074	8	2	trained	train	VERB
brj-23074	8	3	on	on	ADP
brj-23074	8	4	second	second	ADJ
brj-23074	8	5	-	-	PUNCT
brj-23074	8	6	derivative	derivative	ADJ
brj-23074	8	7	ir	ir	NOUN
brj-23074	8	8	spectra	spectra	NOUN
brj-23074	8	9	in	in	ADP
brj-23074	8	10	the	the	DET
brj-23074	8	11	1800	1800	NUM
brj-23074	8	12	to	to	ADP
brj-23074	8	13	1200	1200	NUM
brj-23074	8	14	-	-	PUNCT
brj-23074	8	15	cm-1	cm-1	NOUN
brj-23074	8	16	range	range	NOUN
brj-23074	8	17	exhibited	exhibit	VERB
brj-23074	8	18	perfect	perfect	ADJ
brj-23074	8	19	classification	classification	NOUN
brj-23074	8	20	for	for	ADP
brj-23074	8	21	the	the	DET
brj-23074	8	22	manufacturing	manufacture	VERB
brj-23074	8	23	continent	continent	NOUN
brj-23074	8	24	and	and	CCONJ
brj-23074	8	25	country	country	NOUN
brj-23074	8	26	,	,	PUNCT
brj-23074	8	27	with	with	ADP
brj-23074	8	28	an	an	DET
brj-23074	8	29	impressive	impressive	ADJ
brj-23074	8	30	f1	f1	NOUN
brj-23074	8	31	score	score	NOUN
brj-23074	8	32	of	of	ADP
brj-23074	8	33	0.980	0.980	NUM
brj-23074	8	34	for	for	ADP
brj-23074	8	35	product	product	NOUN
brj-23074	8	36	classification	classification	NOUN
brj-23074	8	37	.	.	PUNCT
brj-23074	9	1	notably	notably	ADV
brj-23074	9	2	,	,	PUNCT
brj-23074	9	3	the	the	DET
brj-23074	9	4	developed	develop	VERB
brj-23074	9	5	1d	1d	NUM
brj-23074	9	6	cnn	cnn	PROPN
brj-23074	9	7	model	model	NOUN
brj-23074	9	8	outperformed	outperform	VERB
brj-23074	9	9	traditional	traditional	ADJ
brj-23074	9	10	machine	machine	NOUN
brj-23074	9	11	learning	learn	VERB
brj-23074	9	12	classifiers	classifier	NOUN
brj-23074	9	13	,	,	PUNCT
brj-23074	9	14	such	such	ADJ
brj-23074	9	15	as	as	ADP
brj-23074	9	16	support	support	NOUN
brj-23074	9	17	vector	vector	NOUN
brj-23074	9	18	machines	machine	NOUN
brj-23074	9	19	and	and	CCONJ
brj-23074	9	20	feed	feed	NOUN
brj-23074	9	21	-	-	PUNCT
brj-23074	9	22	forward	forward	NOUN
brj-23074	9	23	neural	neural	ADJ
brj-23074	9	24	networks	network	NOUN
brj-23074	9	25	.	.	PUNCT
brj-23074	10	1	in	in	ADP
brj-23074	10	2	addition	addition	NOUN
brj-23074	10	3	,	,	PUNCT
brj-23074	10	4	the	the	DET
brj-23074	10	5	application	application	NOUN
brj-23074	10	6	of	of	ADP
brj-23074	10	7	data	datum	NOUN
brj-23074	10	8	point	point	NOUN
brj-23074	10	9	attribution	attribution	NOUN
brj-23074	10	10	enhanced	enhance	VERB
brj-23074	10	11	the	the	DET
brj-23074	10	12	transparency	transparency	NOUN
brj-23074	10	13	of	of	ADP
brj-23074	10	14	the	the	DET
brj-23074	10	15	decision	decision	NOUN
brj-23074	10	16	-	-	PUNCT
brj-23074	10	17	making	make	VERB
brj-23074	10	18	process	process	NOUN
brj-23074	10	19	of	of	ADP
brj-23074	10	20	the	the	DET
brj-23074	10	21	model	model	NOUN
brj-23074	10	22	,	,	PUNCT
brj-23074	10	23	offering	offer	VERB
brj-23074	10	24	insights	insight	NOUN
brj-23074	10	25	into	into	ADP
brj-23074	10	26	the	the	DET
brj-23074	10	27	spectral	spectral	ADJ
brj-23074	10	28	patterns	pattern	NOUN
brj-23074	10	29	that	that	PRON
brj-23074	10	30	affect	affect	VERB
brj-23074	10	31	classification	classification	NOUN
brj-23074	10	32	.	.	PUNCT
brj-23074	11	1	this	this	DET
brj-23074	11	2	study	study	NOUN
brj-23074	11	3	makes	make	VERB
brj-23074	11	4	a	a	DET
brj-23074	11	5	considerable	considerable	ADJ
brj-23074	11	6	contribution	contribution	NOUN
brj-23074	11	7	to	to	ADP
brj-23074	11	8	printing	print	VERB
brj-23074	11	9	paper	paper	NOUN
brj-23074	11	10	classification	classification	NOUN
brj-23074	11	11	,	,	PUNCT
brj-23074	11	12	with	with	ADP
brj-23074	11	13	potential	potential	ADJ
brj-23074	11	14	implications	implication	NOUN
brj-23074	11	15	for	for	ADP
brj-23074	11	16	accurate	accurate	ADJ
brj-23074	11	17	origin	origin	NOUN
brj-23074	11	18	identification	identification	NOUN
brj-23074	11	19	in	in	ADP
brj-23074	11	20	various	various	ADJ
brj-23074	11	21	fields	field	NOUN
brj-23074	11	22	.	.	PUNCT
brj-23074	12	1	doi	doi	NOUN
brj-23074	12	2	:	:	PUNCT
brj-23074	12	3	10.15376	10.15376	NUM
brj-23074	12	4	/	/	SYM
brj-23074	12	5	biores.19.1.1633	biores.19.1.1633	NOUN
brj-23074	12	6	-	-	PUNCT
brj-23074	12	7	1651	1651	NUM
brj-23074	12	8	keywords	keyword	NOUN
brj-23074	12	9	:	:	PUNCT
brj-23074	12	10	classification	classification	NOUN
brj-23074	12	11	;	;	PUNCT
brj-23074	12	12	convolutional	convolutional	ADJ
brj-23074	12	13	neural	neural	ADJ
brj-23074	12	14	network	network	NOUN
brj-23074	12	15	;	;	PUNCT
brj-23074	12	16	printing	printing	NOUN
brj-23074	12	17	paper	paper	NOUN
brj-23074	12	18	;	;	PUNCT
brj-23074	12	19	infrared	infrared	ADJ
brj-23074	12	20	spectroscopy	spectroscopy	NOUN
brj-23074	12	21	;	;	PUNCT
brj-23074	12	22	data	datum	NOUN
brj-23074	12	23	point	point	NOUN
brj-23074	12	24	attribution	attribution	NOUN
brj-23074	12	25	contact	contact	NOUN
brj-23074	12	26	information	information	NOUN
brj-23074	12	27	:	:	PUNCT
brj-23074	12	28	a	a	X
brj-23074	12	29	:	:	PUNCT
brj-23074	12	30	human	human	ADJ
brj-23074	12	31	resources	resource	NOUN
brj-23074	12	32	development	development	NOUN
brj-23074	12	33	center	center	PROPN
brj-23074	12	34	for	for	ADP
brj-23074	12	35	big	big	ADJ
brj-23074	12	36	data	datum	NOUN
brj-23074	12	37	-	-	PUNCT
brj-23074	12	38	based	base	VERB
brj-23074	12	39	glocal	glocal	ADJ
brj-23074	12	40	forest	forest	NOUN
brj-23074	12	41	science	science	NOUN
brj-23074	12	42	4.0	4.0	NUM
brj-23074	12	43	professionals	professional	NOUN
brj-23074	12	44	,	,	PUNCT
brj-23074	12	45	kyungpook	kyungpook	PROPN
brj-23074	12	46	national	national	PROPN
brj-23074	12	47	university	university	PROPN
brj-23074	12	48	,	,	PUNCT
brj-23074	12	49	80	80	NUM
brj-23074	12	50	daehak	daehak	NOUN
brj-23074	12	51	-	-	PUNCT
brj-23074	12	52	ro	ro	NOUN
brj-23074	12	53	,	,	PUNCT
brj-23074	12	54	buk	buk	PROPN
brj-23074	12	55	-	-	PUNCT
brj-23074	12	56	gu	gu	PROPN
brj-23074	12	57	,	,	PUNCT
brj-23074	12	58	daegu	daegu	NOUN
brj-23074	12	59	41566	41566	NUM
brj-23074	12	60	,	,	PUNCT
brj-23074	12	61	republic	republic	NOUN
brj-23074	12	62	of	of	ADP
brj-23074	12	63	korea	korea	PROPN
brj-23074	12	64	;	;	PUNCT
brj-23074	12	65	b	b	X
brj-23074	12	66	:	:	PUNCT
brj-23074	12	67	department	department	NOUN
brj-23074	12	68	of	of	ADP
brj-23074	12	69	wood	wood	NOUN
brj-23074	12	70	science	science	NOUN
brj-23074	12	71	and	and	CCONJ
brj-23074	12	72	technology	technology	NOUN
brj-23074	12	73	,	,	PUNCT
brj-23074	12	74	college	college	NOUN
brj-23074	12	75	of	of	ADP
brj-23074	12	76	agriculture	agriculture	NOUN
brj-23074	12	77	and	and	CCONJ
brj-23074	12	78	life	life	NOUN
brj-23074	12	79	sciences	science	NOUN
brj-23074	12	80	,	,	PUNCT
brj-23074	12	81	kyungpook	kyungpook	PROPN
brj-23074	12	82	national	national	PROPN
brj-23074	12	83	university	university	PROPN
brj-23074	12	84	,	,	PUNCT
brj-23074	12	85	80	80	NUM
brj-23074	12	86	daehak	daehak	NOUN
brj-23074	12	87	-	-	PUNCT
brj-23074	12	88	ro	ro	NOUN
brj-23074	12	89	,	,	PUNCT
brj-23074	12	90	buk	buk	PROPN
brj-23074	12	91	-	-	PUNCT
brj-23074	12	92	gu	gu	PROPN
brj-23074	12	93	,	,	PUNCT
brj-23074	12	94	daegu	daegu	NOUN
brj-23074	12	95	41566	41566	NUM
brj-23074	12	96	,	,	PUNCT
brj-23074	12	97	republic	republic	NOUN
brj-23074	12	98	of	of	ADP
brj-23074	12	99	korea	korea	PROPN
brj-23074	12	100	;	;	PUNCT
brj-23074	12	101	c	c	X
brj-23074	12	102	:	:	PUNCT
brj-23074	12	103	hp	hp	PROPN
brj-23074	12	104	printing	print	VERB
brj-23074	12	105	korea	korea	PROPN
brj-23074	12	106	,	,	PUNCT
brj-23074	12	107	26	26	NUM
brj-23074	12	108	yeonnaegaeul	yeonnaegaeul	VERB
brj-23074	12	109	-	-	PUNCT
brj-23074	12	110	ro	ro	NOUN
brj-23074	12	111	,	,	PUNCT
brj-23074	12	112	sujeong	sujeong	NOUN
brj-23074	12	113	-	-	PUNCT
brj-23074	12	114	gu	gu	NOUN
brj-23074	12	115	,	,	PUNCT
brj-23074	12	116	seongnam	seongnam	NOUN
brj-23074	12	117	-	-	PUNCT
brj-23074	12	118	si	si	NOUN
brj-23074	12	119	,	,	PUNCT
brj-23074	12	120	gyeonggi	gyeonggi	NOUN
brj-23074	12	121	-	-	PUNCT
brj-23074	12	122	do	do	NOUN
brj-23074	12	123	13105	13105	NUM
brj-23074	12	124	,	,	PUNCT
brj-23074	12	125	republic	republic	NOUN
brj-23074	12	126	of	of	ADP
brj-23074	12	127	korea	korea	PROPN
brj-23074	12	128	;	;	PUNCT
brj-23074	12	129	*	*	PUNCT
brj-23074	12	130	corresponding	correspond	VERB
brj-23074	12	131	authors	author	NOUN
brj-23074	12	132	:	:	PUNCT
brj-23074	12	133	kwangho.kang@hp.com	kwangho.kang@hp.com	X
brj-23074	12	134	;	;	PUNCT
brj-23074	12	135	leewh@knu.ac.kr	leewh@knu.ac.kr	X
brj-23074	12	136	introduction	introduction	NOUN
brj-23074	12	137	the	the	DET
brj-23074	12	138	rapid	rapid	ADJ
brj-23074	12	139	advancement	advancement	NOUN
brj-23074	12	140	of	of	ADP
brj-23074	12	141	modern	modern	ADJ
brj-23074	12	142	technology	technology	NOUN
brj-23074	12	143	has	have	AUX
brj-23074	12	144	been	be	AUX
brj-23074	12	145	expected	expect	VERB
brj-23074	12	146	to	to	PART
brj-23074	12	147	considerably	considerably	ADV
brj-23074	12	148	reduce	reduce	VERB
brj-23074	12	149	paper	paper	NOUN
brj-23074	12	150	consumption	consumption	NOUN
brj-23074	12	151	in	in	ADP
brj-23074	12	152	many	many	ADJ
brj-23074	12	153	fields	field	NOUN
brj-23074	12	154	owing	owe	VERB
brj-23074	12	155	to	to	ADP
brj-23074	12	156	increasing	increase	VERB
brj-23074	12	157	digitalization	digitalization	NOUN
brj-23074	12	158	.	.	PUNCT
brj-23074	13	1	however	however	ADV
brj-23074	13	2	,	,	PUNCT
brj-23074	13	3	in	in	ADP
brj-23074	13	4	reality	reality	NOUN
brj-23074	13	5	,	,	PUNCT
brj-23074	13	6	the	the	DET
brj-23074	13	7	consumption	consumption	NOUN
brj-23074	13	8	of	of	ADP
brj-23074	13	9	paper	paper	NOUN
brj-23074	13	10	has	have	AUX
brj-23074	13	11	been	be	AUX
brj-23074	13	12	increasing	increase	VERB
brj-23074	13	13	owing	owe	VERB
brj-23074	13	14	to	to	ADP
brj-23074	13	15	various	various	ADJ
brj-23074	13	16	complex	complex	ADJ
brj-23074	13	17	factors	factor	NOUN
brj-23074	13	18	such	such	ADJ
brj-23074	13	19	as	as	ADP
brj-23074	13	20	the	the	DET
brj-23074	13	21	need	need	NOUN
brj-23074	13	22	for	for	ADP
brj-23074	13	23	document	document	NOUN
brj-23074	13	24	backup	backup	NOUN
brj-23074	13	25	,	,	PUNCT
brj-23074	13	26	security	security	NOUN
brj-23074	13	27	concerns	concern	NOUN
brj-23074	13	28	,	,	PUNCT
brj-23074	13	29	packaging	packaging	NOUN
brj-23074	13	30	,	,	PUNCT
brj-23074	13	31	technological	technological	ADJ
brj-23074	13	32	disparities	disparity	NOUN
brj-23074	13	33	,	,	PUNCT
brj-23074	13	34	and	and	CCONJ
brj-23074	13	35	user	user	NOUN
brj-23074	13	36	preferences	preference	NOUN
brj-23074	13	37	(	(	PUNCT
brj-23074	13	38	shah	shah	PROPN
brj-23074	13	39	et	et	PROPN
brj-23074	13	40	al	al	PROPN
brj-23074	13	41	.	.	PROPN
brj-23074	13	42	2023	2023	NUM
brj-23074	13	43	)	)	PUNCT
brj-23074	13	44	.	.	PUNCT
brj-23074	14	1	the	the	DET
brj-23074	14	2	development	development	NOUN
brj-23074	14	3	of	of	ADP
brj-23074	14	4	printing	printing	NOUN
brj-23074	14	5	and	and	CCONJ
brj-23074	14	6	output	output	NOUN
brj-23074	14	7	technologies	technology	NOUN
brj-23074	14	8	further	further	ADJ
brj-23074	14	9	highlights	highlight	VERB
brj-23074	14	10	the	the	DET
brj-23074	14	11	significance	significance	NOUN
brj-23074	14	12	of	of	ADP
brj-23074	14	13	paper	paper	NOUN
brj-23074	14	14	.	.	PUNCT
brj-23074	15	1	printing	printing	NOUN
brj-23074	15	2	technology	technology	NOUN
brj-23074	15	3	has	have	AUX
brj-23074	15	4	revolutionized	revolutionize	VERB
brj-23074	15	5	document	document	NOUN
brj-23074	15	6	creation	creation	NOUN
brj-23074	15	7	,	,	PUNCT
brj-23074	15	8	image	image	NOUN
brj-23074	15	9	reproduction	reproduction	NOUN
brj-23074	15	10	,	,	PUNCT
brj-23074	15	11	and	and	CCONJ
brj-23074	15	12	data	datum	NOUN
brj-23074	15	13	storage	storage	NOUN
brj-23074	15	14	,	,	PUNCT
brj-23074	15	15	considerably	considerably	ADV
brj-23074	15	16	affecting	affect	VERB
brj-23074	15	17	business	business	NOUN
brj-23074	15	18	,	,	PUNCT
brj-23074	15	19	education	education	NOUN
brj-23074	15	20	,	,	PUNCT
brj-23074	15	21	and	and	CCONJ
brj-23074	15	22	research	research	NOUN
brj-23074	15	23	domains	domain	NOUN
brj-23074	15	24	.	.	PUNCT
brj-23074	16	1	the	the	DET
brj-23074	16	2	quality	quality	NOUN
brj-23074	16	3	and	and	CCONJ
brj-23074	16	4	characteristics	characteristic	NOUN
brj-23074	16	5	of	of	ADP
brj-23074	16	6	peer	peer	NOUN
brj-23074	16	7	-	-	PUNCT
brj-23074	16	8	reviewed	review	VERB
brj-23074	16	9	article	article	NOUN
brj-23074	16	10	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	16	11	hwang	hwang	PROPN
brj-23074	16	12	et	et	PROPN
brj-23074	16	13	al	al	PROPN
brj-23074	16	14	.	.	PROPN
brj-23074	17	1	(	(	PUNCT
brj-23074	17	2	2024	2024	NUM
brj-23074	17	3	)	)	PUNCT
brj-23074	17	4	.	.	PUNCT
brj-23074	18	1	“	"	PUNCT
brj-23074	18	2	nir	nir	X
brj-23074	18	3	for	for	ADP
brj-23074	18	4	paper	paper	NOUN
brj-23074	18	5	classification	classification	NOUN
brj-23074	18	6	,	,	PUNCT
brj-23074	18	7	”	"	PUNCT
brj-23074	18	8	bioresources	bioresource	NOUN
brj-23074	18	9	19(1	19(1	NUM
brj-23074	18	10	)	)	PUNCT
brj-23074	18	11	,	,	PUNCT
brj-23074	18	12	1633	1633	NUM
brj-23074	18	13	-	-	SYM
brj-23074	18	14	1651	1651	NUM
brj-23074	18	15	.	.	PUNCT
brj-23074	19	1	1634	1634	NUM
brj-23074	19	2	printing	printing	NOUN
brj-23074	19	3	paper	paper	NOUN
brj-23074	19	4	are	be	AUX
brj-23074	19	5	crucial	crucial	ADJ
brj-23074	19	6	components	component	NOUN
brj-23074	19	7	of	of	ADP
brj-23074	19	8	these	these	DET
brj-23074	19	9	technologies	technology	NOUN
brj-23074	19	10	,	,	PUNCT
brj-23074	19	11	and	and	CCONJ
brj-23074	19	12	fine	fine	ADJ
brj-23074	19	13	analysis	analysis	NOUN
brj-23074	19	14	and	and	CCONJ
brj-23074	19	15	distinction	distinction	NOUN
brj-23074	19	16	of	of	ADP
brj-23074	19	17	these	these	DET
brj-23074	19	18	properties	property	NOUN
brj-23074	19	19	represent	represent	VERB
brj-23074	19	20	one	one	NUM
brj-23074	19	21	of	of	ADP
brj-23074	19	22	the	the	DET
brj-23074	19	23	vital	vital	ADJ
brj-23074	19	24	challenges	challenge	NOUN
brj-23074	19	25	in	in	ADP
brj-23074	19	26	this	this	DET
brj-23074	19	27	context	context	NOUN
brj-23074	19	28	.	.	PUNCT
brj-23074	20	1	identifying	identify	VERB
brj-23074	20	2	the	the	DET
brj-23074	20	3	origin	origin	NOUN
brj-23074	20	4	of	of	ADP
brj-23074	20	5	paper	paper	NOUN
brj-23074	20	6	products	product	NOUN
brj-23074	20	7	is	be	AUX
brj-23074	20	8	essential	essential	ADJ
brj-23074	20	9	for	for	ADP
brj-23074	20	10	supporting	support	VERB
brj-23074	20	11	global	global	ADJ
brj-23074	20	12	efforts	effort	NOUN
brj-23074	20	13	to	to	PART
brj-23074	20	14	combat	combat	VERB
brj-23074	20	15	the	the	DET
brj-23074	20	16	illegal	illegal	ADJ
brj-23074	20	17	trade	trade	NOUN
brj-23074	20	18	in	in	ADP
brj-23074	20	19	timber	timber	NOUN
brj-23074	20	20	products	product	NOUN
brj-23074	20	21	and	and	CCONJ
brj-23074	20	22	promote	promote	VERB
brj-23074	20	23	sustainability	sustainability	NOUN
brj-23074	20	24	(	(	PUNCT
brj-23074	20	25	australian	australian	ADJ
brj-23074	20	26	government	government	NOUN
brj-23074	20	27	2012	2012	NUM
brj-23074	20	28	;	;	PUNCT
brj-23074	20	29	korea	korea	PROPN
brj-23074	20	30	legislation	legislation	PROPN
brj-23074	20	31	research	research	PROPN
brj-23074	20	32	institute	institute	PROPN
brj-23074	20	33	2020	2020	NUM
brj-23074	20	34	;	;	PUNCT
brj-23074	20	35	federal	federal	ADJ
brj-23074	20	36	register	register	PROPN
brj-23074	20	37	2021	2021	NUM
brj-23074	20	38	;	;	PUNCT
brj-23074	20	39	european	european	ADJ
brj-23074	20	40	commission	commission	PROPN
brj-23074	20	41	2023	2023	NUM
brj-23074	20	42	)	)	PUNCT
brj-23074	20	43	.	.	PUNCT
brj-23074	21	1	furthermore	furthermore	ADV
brj-23074	21	2	,	,	PUNCT
brj-23074	21	3	ensuring	ensure	VERB
brj-23074	21	4	optimal	optimal	ADJ
brj-23074	21	5	printing	printing	NOUN
brj-23074	21	6	quality	quality	NOUN
brj-23074	21	7	for	for	ADP
brj-23074	21	8	a	a	DET
brj-23074	21	9	particular	particular	ADJ
brj-23074	21	10	printing	printing	NOUN
brj-23074	21	11	device	device	NOUN
brj-23074	21	12	may	may	AUX
brj-23074	21	13	require	require	VERB
brj-23074	21	14	the	the	DET
brj-23074	21	15	identification	identification	NOUN
brj-23074	21	16	of	of	ADP
brj-23074	21	17	paper	paper	NOUN
brj-23074	21	18	products	product	NOUN
brj-23074	21	19	that	that	PRON
brj-23074	21	20	are	be	AUX
brj-23074	21	21	suitable	suitable	ADJ
brj-23074	21	22	or	or	CCONJ
brj-23074	21	23	unsuitable	unsuitable	ADJ
brj-23074	21	24	for	for	ADP
brj-23074	21	25	the	the	DET
brj-23074	21	26	device	device	NOUN
brj-23074	21	27	.	.	PUNCT
brj-23074	22	1	paper	paper	NOUN
brj-23074	22	2	origin	origin	NOUN
brj-23074	22	3	identification	identification	NOUN
brj-23074	22	4	is	be	AUX
brj-23074	22	5	an	an	DET
brj-23074	22	6	advanced	advanced	ADJ
brj-23074	22	7	technology	technology	NOUN
brj-23074	22	8	that	that	PRON
brj-23074	22	9	offers	offer	VERB
brj-23074	22	10	practical	practical	ADJ
brj-23074	22	11	value	value	NOUN
brj-23074	22	12	and	and	CCONJ
brj-23074	22	13	innovations	innovation	NOUN
brj-23074	22	14	in	in	ADP
brj-23074	22	15	various	various	ADJ
brj-23074	22	16	fields	field	NOUN
brj-23074	22	17	,	,	PUNCT
brj-23074	22	18	including	include	VERB
brj-23074	22	19	the	the	DET
brj-23074	22	20	prevention	prevention	NOUN
brj-23074	22	21	of	of	ADP
brj-23074	22	22	document	document	NOUN
brj-23074	22	23	forgery	forgery	NOUN
brj-23074	22	24	and	and	CCONJ
brj-23074	22	25	the	the	DET
brj-23074	22	26	development	development	NOUN
brj-23074	22	27	of	of	ADP
brj-23074	22	28	new	new	ADJ
brj-23074	22	29	materials	material	NOUN
brj-23074	22	30	and	and	CCONJ
brj-23074	22	31	manufacturing	manufacturing	NOUN
brj-23074	22	32	processes	process	NOUN
brj-23074	22	33	.	.	PUNCT
brj-23074	23	1	the	the	DET
brj-23074	23	2	combination	combination	NOUN
brj-23074	23	3	of	of	ADP
brj-23074	23	4	spectroscopy	spectroscopy	NOUN
brj-23074	23	5	and	and	CCONJ
brj-23074	23	6	multivariate	multivariate	NOUN
brj-23074	23	7	analysis	analysis	NOUN
brj-23074	23	8	has	have	AUX
brj-23074	23	9	proven	prove	VERB
brj-23074	23	10	to	to	PART
brj-23074	23	11	be	be	AUX
brj-23074	23	12	a	a	DET
brj-23074	23	13	promising	promising	ADJ
brj-23074	23	14	approach	approach	NOUN
brj-23074	23	15	in	in	ADP
brj-23074	23	16	classification	classification	NOUN
brj-23074	23	17	problems	problem	NOUN
brj-23074	23	18	involving	involve	VERB
brj-23074	23	19	various	various	ADJ
brj-23074	23	20	materials	material	NOUN
brj-23074	23	21	(	(	PUNCT
brj-23074	23	22	soriano	soriano	NOUN
brj-23074	23	23	-	-	PUNCT
brj-23074	23	24	disla	disla	PROPN
brj-23074	24	1	et	et	PROPN
brj-23074	24	2	al	al	PROPN
brj-23074	24	3	.	.	PROPN
brj-23074	24	4	2014	2014	NUM
brj-23074	24	5	;	;	PUNCT
brj-23074	24	6	chang	chang	PROPN
brj-23074	24	7	et	et	PROPN
brj-23074	24	8	al	al	PROPN
brj-23074	24	9	.	.	PROPN
brj-23074	24	10	2015	2015	NUM
brj-23074	24	11	;	;	PUNCT
brj-23074	24	12	hwang	hwang	PROPN
brj-23074	24	13	et	et	PROPN
brj-23074	24	14	al	al	PROPN
brj-23074	24	15	.	.	PROPN
brj-23074	24	16	2016	2016	NUM
brj-23074	24	17	;	;	PUNCT
brj-23074	24	18	horikawa	horikawa	PROPN
brj-23074	24	19	et	et	PROPN
brj-23074	24	20	al	al	PROPN
brj-23074	24	21	.	.	PROPN
brj-23074	24	22	2019	2019	NUM
brj-23074	24	23	;	;	PUNCT
brj-23074	24	24	hwang	hwang	PROPN
brj-23074	24	25	et	et	PROPN
brj-23074	24	26	al	al	PROPN
brj-23074	24	27	.	.	PROPN
brj-23074	24	28	2021	2021	NUM
brj-23074	24	29	)	)	PUNCT
brj-23074	24	30	.	.	PUNCT
brj-23074	25	1	infrared	infrared	PROPN
brj-23074	25	2	(	(	PUNCT
brj-23074	25	3	ir	ir	NOUN
brj-23074	25	4	)	)	PUNCT
brj-23074	25	5	spectra	spectra	NOUN
brj-23074	25	6	are	be	AUX
brj-23074	25	7	used	use	VERB
brj-23074	25	8	to	to	PART
brj-23074	25	9	measure	measure	VERB
brj-23074	25	10	the	the	DET
brj-23074	25	11	ir	ir	NOUN
brj-23074	25	12	emission	emission	NOUN
brj-23074	25	13	of	of	ADP
brj-23074	25	14	objects	object	NOUN
brj-23074	25	15	at	at	ADP
brj-23074	25	16	specific	specific	ADJ
brj-23074	25	17	wavelengths	wavelength	NOUN
brj-23074	25	18	;	;	PUNCT
brj-23074	25	19	these	these	DET
brj-23074	25	20	data	datum	NOUN
brj-23074	25	21	can	can	AUX
brj-23074	25	22	be	be	AUX
brj-23074	25	23	used	use	VERB
brj-23074	25	24	to	to	PART
brj-23074	25	25	discern	discern	VERB
brj-23074	25	26	the	the	DET
brj-23074	25	27	unique	unique	ADJ
brj-23074	25	28	characteristics	characteristic	NOUN
brj-23074	25	29	of	of	ADP
brj-23074	25	30	paper	paper	NOUN
brj-23074	25	31	(	(	PUNCT
brj-23074	25	32	stuart	stuart	PROPN
brj-23074	25	33	2004	2004	NUM
brj-23074	25	34	;	;	PUNCT
brj-23074	25	35	trafela	trafela	NOUN
brj-23074	25	36	et	et	PROPN
brj-23074	25	37	al	al	PROPN
brj-23074	25	38	.	.	PROPN
brj-23074	25	39	2007	2007	NUM
brj-23074	25	40	;	;	PUNCT
brj-23074	25	41	causin	causin	NOUN
brj-23074	25	42	et	et	PROPN
brj-23074	25	43	al	al	PROPN
brj-23074	25	44	.	.	PROPN
brj-23074	25	45	2010	2010	NUM
brj-23074	25	46	)	)	PUNCT
brj-23074	25	47	.	.	PUNCT
brj-23074	26	1	recent	recent	ADJ
brj-23074	26	2	advancements	advancement	NOUN
brj-23074	26	3	in	in	ADP
brj-23074	26	4	machine	machine	NOUN
brj-23074	26	5	learning	learning	NOUN
brj-23074	26	6	have	have	AUX
brj-23074	26	7	further	far	ADV
brj-23074	26	8	improved	improve	VERB
brj-23074	26	9	the	the	DET
brj-23074	26	10	predictive	predictive	ADJ
brj-23074	26	11	performance	performance	NOUN
brj-23074	26	12	of	of	ADP
brj-23074	26	13	models	model	NOUN
brj-23074	26	14	,	,	PUNCT
brj-23074	26	15	making	make	VERB
brj-23074	26	16	them	they	PRON
brj-23074	26	17	more	more	ADV
brj-23074	26	18	accurate	accurate	ADJ
brj-23074	26	19	and	and	CCONJ
brj-23074	26	20	robust	robust	ADJ
brj-23074	26	21	(	(	PUNCT
brj-23074	26	22	coppola	coppola	PROPN
brj-23074	26	23	et	et	PROPN
brj-23074	26	24	al	al	PROPN
brj-23074	26	25	.	.	PROPN
brj-23074	26	26	2023	2023	NUM
brj-23074	26	27	;	;	PUNCT
brj-23074	26	28	hwang	hwang	PROPN
brj-23074	26	29	et	et	PROPN
brj-23074	26	30	al	al	PROPN
brj-23074	26	31	.	.	PROPN
brj-23074	26	32	2023	2023	NUM
brj-23074	26	33	)	)	PUNCT
brj-23074	26	34	.	.	PUNCT
brj-23074	27	1	machine	machine	NOUN
brj-23074	27	2	learning	learn	VERB
brj-23074	27	3	algorithms	algorithm	NOUN
brj-23074	27	4	have	have	AUX
brj-23074	27	5	already	already	ADV
brj-23074	27	6	been	be	AUX
brj-23074	27	7	used	use	VERB
brj-23074	27	8	to	to	PART
brj-23074	27	9	process	process	VERB
brj-23074	27	10	spectral	spectral	ADJ
brj-23074	27	11	data	datum	NOUN
brj-23074	27	12	and	and	CCONJ
brj-23074	27	13	identify	identify	VERB
brj-23074	27	14	the	the	DET
brj-23074	27	15	distinctive	distinctive	ADJ
brj-23074	27	16	signatures	signature	NOUN
brj-23074	27	17	of	of	ADP
brj-23074	27	18	different	different	ADJ
brj-23074	27	19	types	type	NOUN
brj-23074	27	20	of	of	ADP
brj-23074	27	21	paper	paper	NOUN
brj-23074	27	22	through	through	ADP
brj-23074	27	23	pattern	pattern	NOUN
brj-23074	27	24	recognition	recognition	NOUN
brj-23074	27	25	and	and	CCONJ
brj-23074	27	26	feature	feature	NOUN
brj-23074	27	27	extraction	extraction	NOUN
brj-23074	27	28	(	(	PUNCT
brj-23074	27	29	meza	meza	PROPN
brj-23074	27	30	ramirez	ramirez	PROPN
brj-23074	27	31	et	et	PROPN
brj-23074	27	32	al	al	PROPN
brj-23074	27	33	.	.	PROPN
brj-23074	27	34	2021	2021	NUM
brj-23074	27	35	)	)	PUNCT
brj-23074	27	36	.	.	PUNCT
brj-23074	28	1	recent	recent	ADJ
brj-23074	28	2	research	research	NOUN
brj-23074	28	3	combines	combine	VERB
brj-23074	28	4	laser	laser	NOUN
brj-23074	28	5	-	-	PUNCT
brj-23074	28	6	induced	induce	VERB
brj-23074	28	7	breakdown	breakdown	NOUN
brj-23074	28	8	spectroscopy	spectroscopy	NOUN
brj-23074	28	9	(	(	PUNCT
brj-23074	28	10	libs	lib	NOUN
brj-23074	28	11	)	)	PUNCT
brj-23074	28	12	and	and	CCONJ
brj-23074	28	13	machine	machine	NOUN
brj-23074	28	14	learning	learn	VERB
brj-23074	28	15	to	to	PART
brj-23074	28	16	achieve	achieve	VERB
brj-23074	28	17	diverse	diverse	ADJ
brj-23074	28	18	goals	goal	NOUN
brj-23074	28	19	.	.	PUNCT
brj-23074	29	1	one	one	NUM
brj-23074	29	2	aspect	aspect	NOUN
brj-23074	29	3	involves	involve	VERB
brj-23074	29	4	enhancing	enhance	VERB
brj-23074	29	5	judicial	judicial	ADJ
brj-23074	29	6	expertise	expertise	NOUN
brj-23074	29	7	by	by	ADP
brj-23074	29	8	analyzing	analyze	VERB
brj-23074	29	9	ink	ink	NOUN
brj-23074	29	10	marks	mark	NOUN
brj-23074	29	11	in	in	ADP
brj-23074	29	12	handwriting	handwriting	NOUN
brj-23074	29	13	identification	identification	NOUN
brj-23074	29	14	using	use	VERB
brj-23074	29	15	libs	lib	NOUN
brj-23074	29	16	and	and	CCONJ
brj-23074	29	17	machine	machine	NOUN
brj-23074	29	18	learning	learning	NOUN
brj-23074	29	19	(	(	PUNCT
brj-23074	29	20	feng	feng	PROPN
brj-23074	29	21	et	et	PROPN
brj-23074	29	22	al	al	PROPN
brj-23074	29	23	.	.	PROPN
brj-23074	29	24	2023	2023	NUM
brj-23074	29	25	)	)	PUNCT
brj-23074	29	26	.	.	PUNCT
brj-23074	30	1	another	another	DET
brj-23074	30	2	facet	facet	ADJ
brj-23074	30	3	addresses	address	NOUN
brj-23074	30	4	the	the	DET
brj-23074	30	5	misclassification	misclassification	NOUN
brj-23074	30	6	of	of	ADP
brj-23074	30	7	recyclable	recyclable	ADJ
brj-23074	30	8	waste	waste	NOUN
brj-23074	30	9	,	,	PUNCT
brj-23074	30	10	employing	employ	VERB
brj-23074	30	11	libs	lib	NOUN
brj-23074	30	12	and	and	CCONJ
brj-23074	30	13	machine	machine	NOUN
brj-23074	30	14	learning	learn	VERB
brj-23074	30	15	to	to	PART
brj-23074	30	16	create	create	VERB
brj-23074	30	17	an	an	DET
brj-23074	30	18	effective	effective	ADJ
brj-23074	30	19	online	online	ADJ
brj-23074	30	20	source	source	NOUN
brj-23074	30	21	tracing	trace	VERB
brj-23074	30	22	system	system	NOUN
brj-23074	30	23	(	(	PUNCT
brj-23074	30	24	chen	chen	PROPN
brj-23074	30	25	et	et	PROPN
brj-23074	30	26	al	al	PROPN
brj-23074	30	27	.	.	PROPN
brj-23074	30	28	2023	2023	NUM
brj-23074	30	29	)	)	PUNCT
brj-23074	30	30	.	.	PUNCT
brj-23074	31	1	the	the	DET
brj-23074	31	2	system	system	NOUN
brj-23074	31	3	successfully	successfully	ADV
brj-23074	31	4	identifies	identify	VERB
brj-23074	31	5	and	and	CCONJ
brj-23074	31	6	categorizes	categorize	VERB
brj-23074	31	7	smoke	smoke	NOUN
brj-23074	31	8	from	from	ADP
brj-23074	31	9	waste	waste	NOUN
brj-23074	31	10	paper	paper	NOUN
brj-23074	31	11	incineration	incineration	NOUN
brj-23074	31	12	,	,	PUNCT
brj-23074	31	13	demonstrating	demonstrate	VERB
brj-23074	31	14	the	the	DET
brj-23074	31	15	possibility	possibility	NOUN
brj-23074	31	16	of	of	ADP
brj-23074	31	17	tracing	trace	VERB
brj-23074	31	18	the	the	DET
brj-23074	31	19	source	source	NOUN
brj-23074	31	20	of	of	ADP
brj-23074	31	21	waste	waste	NOUN
brj-23074	31	22	paper	paper	NOUN
brj-23074	31	23	.	.	PUNCT
brj-23074	32	1	herein	herein	NOUN
brj-23074	32	2	,	,	PUNCT
brj-23074	32	3	a	a	DET
brj-23074	32	4	one	one	NUM
brj-23074	32	5	-	-	PUNCT
brj-23074	32	6	dimensional	dimensional	ADJ
brj-23074	32	7	convolutional	convolutional	ADJ
brj-23074	32	8	neural	neural	ADJ
brj-23074	32	9	network	network	NOUN
brj-23074	32	10	(	(	PUNCT
brj-23074	32	11	1d	1d	NUM
brj-23074	32	12	cnn	cnn	PROPN
brj-23074	32	13	)	)	PUNCT
brj-23074	32	14	model	model	NOUN
brj-23074	32	15	using	use	VERB
brj-23074	32	16	ir	ir	PROPN
brj-23074	32	17	spectra	spectra	PROPN
brj-23074	32	18	was	be	AUX
brj-23074	32	19	developed	develop	VERB
brj-23074	32	20	to	to	PART
brj-23074	32	21	accurately	accurately	ADV
brj-23074	32	22	classify	classify	VERB
brj-23074	32	23	the	the	DET
brj-23074	32	24	manufacturing	manufacturing	NOUN
brj-23074	32	25	origin	origin	NOUN
brj-23074	32	26	of	of	ADP
brj-23074	32	27	printing	printing	NOUN
brj-23074	32	28	paper	paper	NOUN
brj-23074	32	29	,	,	PUNCT
brj-23074	32	30	including	include	VERB
brj-23074	32	31	the	the	DET
brj-23074	32	32	continent	continent	NOUN
brj-23074	32	33	,	,	PUNCT
brj-23074	32	34	country	country	NOUN
brj-23074	32	35	,	,	PUNCT
brj-23074	32	36	and	and	CCONJ
brj-23074	32	37	product	product	NOUN
brj-23074	32	38	.	.	PUNCT
brj-23074	33	1	this	this	DET
brj-23074	33	2	model	model	NOUN
brj-23074	33	3	processes	process	VERB
brj-23074	33	4	the	the	DET
brj-23074	33	5	spectral	spectral	ADJ
brj-23074	33	6	data	datum	NOUN
brj-23074	33	7	of	of	ADP
brj-23074	33	8	printing	printing	NOUN
brj-23074	33	9	paper	paper	NOUN
brj-23074	33	10	,	,	PUNCT
brj-23074	33	11	learning	learn	VERB
brj-23074	33	12	patterns	pattern	NOUN
brj-23074	33	13	and	and	CCONJ
brj-23074	33	14	features	feature	NOUN
brj-23074	33	15	from	from	ADP
brj-23074	33	16	the	the	DET
brj-23074	33	17	data	datum	NOUN
brj-23074	33	18	.	.	PUNCT
brj-23074	34	1	furthermore	furthermore	ADV
brj-23074	34	2	,	,	PUNCT
brj-23074	34	3	data	datum	NOUN
brj-23074	34	4	point	point	NOUN
brj-23074	34	5	attribution	attribution	NOUN
brj-23074	34	6	analysis	analysis	NOUN
brj-23074	34	7	was	be	AUX
brj-23074	34	8	used	use	VERB
brj-23074	34	9	to	to	PART
brj-23074	34	10	understand	understand	VERB
brj-23074	34	11	how	how	SCONJ
brj-23074	34	12	specific	specific	ADJ
brj-23074	34	13	absorption	absorption	NOUN
brj-23074	34	14	bands	band	NOUN
brj-23074	34	15	in	in	ADP
brj-23074	34	16	the	the	DET
brj-23074	34	17	ir	ir	PROPN
brj-23074	34	18	spectrum	spectrum	NOUN
brj-23074	34	19	contribute	contribute	VERB
brj-23074	34	20	to	to	ADP
brj-23074	34	21	the	the	DET
brj-23074	34	22	classification	classification	NOUN
brj-23074	34	23	decisions	decision	NOUN
brj-23074	34	24	of	of	ADP
brj-23074	34	25	the	the	DET
brj-23074	34	26	model	model	NOUN
brj-23074	34	27	.	.	PUNCT
brj-23074	35	1	this	this	DET
brj-23074	35	2	process	process	NOUN
brj-23074	35	3	enhanced	enhance	VERB
brj-23074	35	4	the	the	DET
brj-23074	35	5	transparency	transparency	NOUN
brj-23074	35	6	of	of	ADP
brj-23074	35	7	the	the	DET
brj-23074	35	8	decision	decision	NOUN
brj-23074	35	9	-	-	PUNCT
brj-23074	35	10	making	make	VERB
brj-23074	35	11	process	process	NOUN
brj-23074	35	12	of	of	ADP
brj-23074	35	13	the	the	DET
brj-23074	35	14	model	model	NOUN
brj-23074	35	15	and	and	CCONJ
brj-23074	35	16	improved	improve	VERB
brj-23074	35	17	its	its	PRON
brj-23074	35	18	interpretability	interpretability	NOUN
brj-23074	35	19	.	.	PUNCT
brj-23074	36	1	this	this	DET
brj-23074	36	2	article	article	NOUN
brj-23074	36	3	presents	present	VERB
brj-23074	36	4	the	the	DET
brj-23074	36	5	results	result	NOUN
brj-23074	36	6	of	of	ADP
brj-23074	36	7	machine	machine	NOUN
brj-23074	36	8	learning	learning	NOUN
brj-23074	36	9	-	-	PUNCT
brj-23074	36	10	based	base	VERB
brj-23074	36	11	classification	classification	NOUN
brj-23074	36	12	of	of	ADP
brj-23074	36	13	the	the	DET
brj-23074	36	14	manufacturing	manufacture	VERB
brj-23074	36	15	origin	origin	NOUN
brj-23074	36	16	of	of	ADP
brj-23074	36	17	printing	printing	NOUN
brj-23074	36	18	paper	paper	NOUN
brj-23074	36	19	,	,	PUNCT
brj-23074	36	20	contributing	contribute	VERB
brj-23074	36	21	to	to	ADP
brj-23074	36	22	the	the	DET
brj-23074	36	23	existing	exist	VERB
brj-23074	36	24	body	body	NOUN
brj-23074	36	25	of	of	ADP
brj-23074	36	26	research	research	NOUN
brj-23074	36	27	in	in	ADP
brj-23074	36	28	this	this	DET
brj-23074	36	29	field	field	NOUN
brj-23074	36	30	.	.	PUNCT
brj-23074	37	1	experimental	experimental	ADJ
brj-23074	37	2	printing	printing	NOUN
brj-23074	37	3	papers	paper	NOUN
brj-23074	37	4	herein	herein	NOUN
brj-23074	37	5	,	,	PUNCT
brj-23074	37	6	65	65	NUM
brj-23074	37	7	commercial	commercial	ADJ
brj-23074	37	8	products	product	NOUN
brj-23074	37	9	from	from	ADP
brj-23074	37	10	24	24	NUM
brj-23074	37	11	different	different	ADJ
brj-23074	37	12	manufacturers	manufacturer	NOUN
brj-23074	37	13	spanning	span	VERB
brj-23074	37	14	11	11	NUM
brj-23074	37	15	countries	country	NOUN
brj-23074	37	16	were	be	AUX
brj-23074	37	17	used	use	VERB
brj-23074	37	18	for	for	ADP
brj-23074	37	19	printing	print	VERB
brj-23074	37	20	paper	paper	NOUN
brj-23074	37	21	classification	classification	NOUN
brj-23074	37	22	(	(	PUNCT
brj-23074	37	23	table	table	NOUN
brj-23074	37	24	1	1	NUM
brj-23074	37	25	)	)	PUNCT
brj-23074	37	26	.	.	PUNCT
brj-23074	38	1	each	each	DET
brj-23074	38	2	product	product	NOUN
brj-23074	38	3	was	be	AUX
brj-23074	38	4	categorized	categorize	VERB
brj-23074	38	5	based	base	VERB
brj-23074	38	6	on	on	ADP
brj-23074	38	7	its	its	PRON
brj-23074	38	8	country	country	NOUN
brj-23074	38	9	of	of	ADP
brj-23074	38	10	production	production	NOUN
brj-23074	38	11	rather	rather	ADV
brj-23074	38	12	than	than	ADP
brj-23074	38	13	the	the	DET
brj-23074	38	14	manufacturer	manufacturer	NOUN
brj-23074	38	15	’s	’s	PART
brj-23074	38	16	country	country	NOUN
brj-23074	38	17	of	of	ADP
brj-23074	38	18	registration	registration	NOUN
brj-23074	38	19	.	.	PUNCT
brj-23074	39	1	the	the	DET
brj-23074	39	2	products	product	NOUN
brj-23074	39	3	in	in	ADP
brj-23074	39	4	the	the	DET
brj-23074	39	5	sample	sample	NOUN
brj-23074	39	6	exhibited	exhibit	VERB
brj-23074	39	7	considerable	considerable	ADJ
brj-23074	39	8	variation	variation	NOUN
brj-23074	39	9	,	,	PUNCT
brj-23074	39	10	with	with	ADP
brj-23074	39	11	the	the	DET
brj-23074	39	12	majority	majority	NOUN
brj-23074	39	13	peer	peer	NOUN
brj-23074	39	14	-	-	PUNCT
brj-23074	39	15	reviewed	review	VERB
brj-23074	39	16	article	article	NOUN
brj-23074	39	17	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	39	18	hwang	hwang	PROPN
brj-23074	39	19	et	et	PROPN
brj-23074	39	20	al	al	PROPN
brj-23074	39	21	.	.	PROPN
brj-23074	40	1	(	(	PUNCT
brj-23074	40	2	2024	2024	NUM
brj-23074	40	3	)	)	PUNCT
brj-23074	40	4	.	.	PUNCT
brj-23074	41	1	“	"	PUNCT
brj-23074	41	2	nir	nir	X
brj-23074	41	3	for	for	ADP
brj-23074	41	4	paper	paper	NOUN
brj-23074	41	5	classification	classification	NOUN
brj-23074	41	6	,	,	PUNCT
brj-23074	41	7	”	"	PUNCT
brj-23074	41	8	bioresources	bioresource	NOUN
brj-23074	41	9	19(1	19(1	NUM
brj-23074	41	10	)	)	PUNCT
brj-23074	41	11	,	,	PUNCT
brj-23074	41	12	1633	1633	NUM
brj-23074	41	13	-	-	SYM
brj-23074	41	14	1651	1651	NUM
brj-23074	41	15	.	.	PUNCT
brj-23074	42	1	1635	1635	NUM
brj-23074	42	2	originating	originate	VERB
brj-23074	42	3	from	from	ADP
brj-23074	42	4	china	china	PROPN
brj-23074	42	5	(	(	PUNCT
brj-23074	42	6	28	28	NUM
brj-23074	42	7	products	product	NOUN
brj-23074	42	8	)	)	PUNCT
brj-23074	43	1	,	,	PUNCT
brj-23074	43	2	whereas	whereas	SCONJ
brj-23074	43	3	finland	finland	PROPN
brj-23074	43	4	was	be	AUX
brj-23074	43	5	represented	represent	VERB
brj-23074	43	6	by	by	ADP
brj-23074	43	7	only	only	ADV
brj-23074	43	8	one	one	NUM
brj-23074	43	9	product	product	NOUN
brj-23074	43	10	.	.	PUNCT
brj-23074	44	1	the	the	DET
brj-23074	44	2	majority	majority	NOUN
brj-23074	44	3	of	of	ADP
brj-23074	44	4	the	the	DET
brj-23074	44	5	selected	select	VERB
brj-23074	44	6	products	product	NOUN
brj-23074	44	7	were	be	AUX
brj-23074	44	8	typical	typical	ADJ
brj-23074	44	9	office	office	NOUN
brj-23074	44	10	printing	printing	NOUN
brj-23074	44	11	papers	paper	NOUN
brj-23074	44	12	with	with	ADP
brj-23074	44	13	a	a	DET
brj-23074	44	14	weight	weight	NOUN
brj-23074	44	15	range	range	NOUN
brj-23074	44	16	of	of	ADP
brj-23074	44	17	70	70	NUM
brj-23074	44	18	to	to	PART
brj-23074	44	19	90	90	NUM
brj-23074	44	20	grams	gram	NOUN
brj-23074	44	21	per	per	ADP
brj-23074	44	22	square	square	ADJ
brj-23074	44	23	meter	meter	NOUN
brj-23074	44	24	(	(	PUNCT
brj-23074	44	25	gsm	gsm	NOUN
brj-23074	44	26	)	)	PUNCT
brj-23074	44	27	.	.	PUNCT
brj-23074	45	1	some	some	DET
brj-23074	45	2	products	product	NOUN
brj-23074	45	3	exceeded	exceed	VERB
brj-23074	45	4	100	100	NUM
brj-23074	45	5	gsm	gsm	NOUN
brj-23074	45	6	and	and	CCONJ
brj-23074	45	7	were	be	AUX
brj-23074	45	8	intended	intend	VERB
brj-23074	45	9	for	for	ADP
brj-23074	45	10	special	special	ADJ
brj-23074	45	11	documents	document	NOUN
brj-23074	45	12	,	,	PUNCT
brj-23074	45	13	promotional	promotional	ADJ
brj-23074	45	14	materials	material	NOUN
brj-23074	45	15	,	,	PUNCT
brj-23074	45	16	business	business	NOUN
brj-23074	45	17	cards	card	NOUN
brj-23074	45	18	,	,	PUNCT
brj-23074	45	19	and	and	CCONJ
brj-23074	45	20	other	other	ADJ
brj-23074	45	21	similar	similar	ADJ
brj-23074	45	22	applications	application	NOUN
brj-23074	45	23	.	.	PUNCT
brj-23074	46	1	among	among	ADP
brj-23074	46	2	the	the	DET
brj-23074	46	3	28	28	NUM
brj-23074	46	4	products	product	NOUN
brj-23074	46	5	,	,	PUNCT
brj-23074	46	6	those	those	PRON
brj-23074	46	7	of	of	ADP
brj-23074	46	8	chinese	chinese	ADJ
brj-23074	46	9	origin	origin	NOUN
brj-23074	46	10	were	be	AUX
brj-23074	46	11	a4	a4	NUM
brj-23074	46	12	or	or	CCONJ
brj-23074	46	13	a3	a3	NOUN
brj-23074	46	14	-	-	PUNCT
brj-23074	46	15	sized	sized	ADJ
brj-23074	46	16	printing	printing	NOUN
brj-23074	46	17	papers	paper	NOUN
brj-23074	46	18	with	with	ADP
brj-23074	46	19	a	a	DET
brj-23074	46	20	weight	weight	NOUN
brj-23074	46	21	of	of	ADP
brj-23074	46	22	70	70	NUM
brj-23074	46	23	to	to	PART
brj-23074	46	24	80	80	NUM
brj-23074	46	25	gsm	gsm	NOUN
brj-23074	46	26	,	,	PUNCT
brj-23074	46	27	manufactured	manufacture	VERB
brj-23074	46	28	by	by	ADP
brj-23074	46	29	12	12	NUM
brj-23074	46	30	companies	company	NOUN
brj-23074	46	31	.	.	PUNCT
brj-23074	47	1	among	among	ADP
brj-23074	47	2	the	the	DET
brj-23074	47	3	65	65	NUM
brj-23074	47	4	products	product	NOUN
brj-23074	47	5	tested	test	VERB
brj-23074	47	6	,	,	PUNCT
brj-23074	47	7	four	four	NUM
brj-23074	47	8	were	be	AUX
brj-23074	47	9	composed	compose	VERB
brj-23074	47	10	of	of	ADP
brj-23074	47	11	recycled	recycled	ADJ
brj-23074	47	12	paper	paper	NOUN
brj-23074	47	13	,	,	PUNCT
brj-23074	47	14	whereas	whereas	SCONJ
brj-23074	47	15	a	a	DET
brj-23074	47	16	unique	unique	ADJ
brj-23074	47	17	product	product	NOUN
brj-23074	47	18	from	from	ADP
brj-23074	47	19	the	the	DET
brj-23074	47	20	united	united	PROPN
brj-23074	47	21	states	states	PROPN
brj-23074	47	22	was	be	AUX
brj-23074	47	23	produced	produce	VERB
brj-23074	47	24	from	from	ADP
brj-23074	47	25	cotton	cotton	NOUN
brj-23074	47	26	.	.	PUNCT
brj-23074	48	1	in	in	ADP
brj-23074	48	2	addition	addition	NOUN
brj-23074	48	3	,	,	PUNCT
brj-23074	48	4	three	three	NUM
brj-23074	48	5	original	original	ADJ
brj-23074	48	6	equipment	equipment	NOUN
brj-23074	48	7	manufacturer	manufacturer	NOUN
brj-23074	48	8	products	product	NOUN
brj-23074	48	9	with	with	ADP
brj-23074	48	10	unverified	unverified	ADJ
brj-23074	48	11	manufacturer	manufacturer	NOUN
brj-23074	48	12	and	and	CCONJ
brj-23074	48	13	country	country	NOUN
brj-23074	48	14	of	of	ADP
brj-23074	48	15	origin	origin	NOUN
brj-23074	48	16	information	information	NOUN
brj-23074	48	17	were	be	AUX
brj-23074	48	18	included	include	VERB
brj-23074	48	19	in	in	ADP
brj-23074	48	20	the	the	DET
brj-23074	48	21	study	study	NOUN
brj-23074	48	22	.	.	PUNCT
brj-23074	49	1	these	these	DET
brj-23074	49	2	items	item	NOUN
brj-23074	49	3	were	be	AUX
brj-23074	49	4	incorporated	incorporate	VERB
brj-23074	49	5	into	into	ADP
brj-23074	49	6	the	the	DET
brj-23074	49	7	analysis	analysis	NOUN
brj-23074	49	8	to	to	PART
brj-23074	49	9	predict	predict	VERB
brj-23074	49	10	their	their	PRON
brj-23074	49	11	respective	respective	ADJ
brj-23074	49	12	countries	country	NOUN
brj-23074	49	13	of	of	ADP
brj-23074	49	14	origin	origin	NOUN
brj-23074	49	15	.	.	PUNCT
brj-23074	50	1	table	table	NOUN
brj-23074	50	2	1	1	NUM
brj-23074	50	3	.	.	PUNCT
brj-23074	50	4	number	number	NOUN
brj-23074	50	5	of	of	ADP
brj-23074	50	6	papers	paper	NOUN
brj-23074	50	7	analyzed	analyze	VERB
brj-23074	50	8	and	and	CCONJ
brj-23074	50	9	country	country	NOUN
brj-23074	50	10	of	of	ADP
brj-23074	50	11	manufacture	manufacture	NOUN
brj-23074	50	12	no	no	PROPN
brj-23074	50	13	.	.	PUNCT
brj-23074	51	1	country	country	NOUN
brj-23074	51	2	number	number	NOUN
brj-23074	51	3	of	of	ADP
brj-23074	51	4	analyzed	analyze	VERB
brj-23074	51	5	product	product	NOUN
brj-23074	51	6	1	1	NUM
brj-23074	51	7	china	china	PROPN
brj-23074	51	8	28	28	NUM
brj-23074	51	9	2	2	NUM
brj-23074	51	10	india	india	PROPN
brj-23074	51	11	8	8	NUM
brj-23074	51	12	3	3	NUM
brj-23074	51	13	indonesia	indonesia	PROPN
brj-23074	51	14	2	2	NUM
brj-23074	51	15	4	4	NUM
brj-23074	51	16	korea	korea	PROPN
brj-23074	51	17	6	6	NUM
brj-23074	51	18	(	(	PUNCT
brj-23074	51	19	2	2	NUM
brj-23074	51	20	recycled	recycled	ADJ
brj-23074	51	21	products	product	NOUN
brj-23074	51	22	included	include	VERB
brj-23074	51	23	)	)	PUNCT
brj-23074	51	24	5	5	NUM
brj-23074	51	25	thailand	thailand	NOUN
brj-23074	51	26	2	2	NUM
brj-23074	51	27	6	6	NUM
brj-23074	51	28	austria	austria	NOUN
brj-23074	51	29	3	3	NUM
brj-23074	51	30	7	7	NUM
brj-23074	51	31	finland	finland	NOUN
brj-23074	51	32	1	1	NUM
brj-23074	51	33	8	8	NUM
brj-23074	51	34	germany	germany	PROPN
brj-23074	51	35	2	2	NUM
brj-23074	51	36	(	(	PUNCT
brj-23074	51	37	1	1	NUM
brj-23074	51	38	recycled	recycled	ADJ
brj-23074	51	39	product	product	NOUN
brj-23074	51	40	included	include	VERB
brj-23074	51	41	)	)	PUNCT
brj-23074	51	42	9	9	NUM
brj-23074	51	43	canada	canada	PROPN
brj-23074	51	44	2	2	NUM
brj-23074	51	45	10	10	NUM
brj-23074	51	46	usa	usa	PROPN
brj-23074	51	47	9	9	NUM
brj-23074	51	48	(	(	PUNCT
brj-23074	51	49	1	1	NUM
brj-23074	51	50	recycled	recycled	ADJ
brj-23074	51	51	and	and	CCONJ
brj-23074	51	52	1	1	NUM
brj-23074	51	53	cotton	cotton	NOUN
brj-23074	51	54	paper	paper	NOUN
brj-23074	51	55	products	product	NOUN
brj-23074	51	56	included	include	VERB
brj-23074	51	57	)	)	PUNCT
brj-23074	51	58	11	11	NUM
brj-23074	51	59	brazil	brazil	PROPN
brj-23074	51	60	2	2	NUM
brj-23074	51	61	dataset	dataset	VERB
brj-23074	51	62	ir	ir	PROPN
brj-23074	51	63	spectra	spectra	NOUN
brj-23074	51	64	the	the	DET
brj-23074	51	65	ir	ir	PROPN
brj-23074	51	66	spectra	spectra	NOUN
brj-23074	51	67	of	of	ADP
brj-23074	51	68	printing	print	VERB
brj-23074	51	69	paper	paper	NOUN
brj-23074	51	70	samples	sample	NOUN
brj-23074	51	71	spanning	span	VERB
brj-23074	51	72	the	the	DET
brj-23074	51	73	wavenumber	wavenumber	NOUN
brj-23074	51	74	range	range	NOUN
brj-23074	51	75	of	of	ADP
brj-23074	51	76	4000	4000	NUM
brj-23074	51	77	to	to	PART
brj-23074	51	78	400	400	NUM
brj-23074	51	79	cm−1	cm−1	NOUN
brj-23074	51	80	were	be	AUX
brj-23074	51	81	acquired	acquire	VERB
brj-23074	51	82	using	use	VERB
brj-23074	51	83	attenuated	attenuate	VERB
brj-23074	51	84	total	total	ADJ
brj-23074	51	85	reflection	reflection	NOUN
brj-23074	51	86	infrared	infrared	NOUN
brj-23074	51	87	(	(	PUNCT
brj-23074	51	88	atr	atr	PROPN
brj-23074	51	89	-	-	PUNCT
brj-23074	51	90	ir	ir	NOUN
brj-23074	51	91	)	)	PUNCT
brj-23074	51	92	spectroscopy	spectroscopy	NOUN
brj-23074	51	93	(	(	PUNCT
brj-23074	51	94	alpha	alpha	NOUN
brj-23074	51	95	-	-	PUNCT
brj-23074	51	96	p	p	NOUN
brj-23074	51	97	,	,	PUNCT
brj-23074	51	98	bruker	bruker	NOUN
brj-23074	51	99	optics	optic	NOUN
brj-23074	51	100	,	,	PUNCT
brj-23074	51	101	ettlingen	ettlingen	PROPN
brj-23074	51	102	,	,	PUNCT
brj-23074	51	103	germany	germany	PROPN
brj-23074	51	104	)	)	PUNCT
brj-23074	51	105	.	.	PUNCT
brj-23074	52	1	the	the	DET
brj-23074	52	2	spectral	spectral	ADJ
brj-23074	52	3	resolution	resolution	NOUN
brj-23074	52	4	was	be	AUX
brj-23074	52	5	set	set	VERB
brj-23074	52	6	to	to	ADP
brj-23074	52	7	4	4	NUM
brj-23074	52	8	cm−1	cm−1	NOUN
brj-23074	52	9	,	,	PUNCT
brj-23074	52	10	and	and	CCONJ
brj-23074	52	11	average	average	ADJ
brj-23074	52	12	spectra	spectra	NOUN
brj-23074	52	13	derived	derive	VERB
brj-23074	52	14	from	from	ADP
brj-23074	52	15	16	16	NUM
brj-23074	52	16	repeated	repeat	VERB
brj-23074	52	17	scans	scan	NOUN
brj-23074	52	18	were	be	AUX
brj-23074	52	19	obtained	obtain	VERB
brj-23074	52	20	.	.	PUNCT
brj-23074	53	1	atr	atr	PROPN
brj-23074	53	2	-	-	PUNCT
brj-23074	53	3	ir	ir	PROPN
brj-23074	53	4	spectroscopy	spectroscopy	NOUN
brj-23074	53	5	can	can	AUX
brj-23074	53	6	analyze	analyze	VERB
brj-23074	53	7	a	a	DET
brj-23074	53	8	wide	wide	ADJ
brj-23074	53	9	range	range	NOUN
brj-23074	53	10	of	of	ADP
brj-23074	53	11	samples	sample	NOUN
brj-23074	53	12	,	,	PUNCT
brj-23074	53	13	including	include	VERB
brj-23074	53	14	liquids	liquid	NOUN
brj-23074	53	15	,	,	PUNCT
brj-23074	53	16	solids	solid	NOUN
brj-23074	53	17	,	,	PUNCT
brj-23074	53	18	and	and	CCONJ
brj-23074	53	19	powders	powder	NOUN
brj-23074	53	20	.	.	PUNCT
brj-23074	54	1	it	it	PRON
brj-23074	54	2	requires	require	VERB
brj-23074	54	3	minimal	minimal	ADJ
brj-23074	54	4	sample	sample	NOUN
brj-23074	54	5	preparation	preparation	NOUN
brj-23074	54	6	,	,	PUNCT
brj-23074	54	7	allowing	allow	VERB
brj-23074	54	8	for	for	ADP
brj-23074	54	9	quick	quick	ADJ
brj-23074	54	10	and	and	CCONJ
brj-23074	54	11	direct	direct	ADJ
brj-23074	54	12	analysis	analysis	NOUN
brj-23074	54	13	.	.	PUNCT
brj-23074	55	1	for	for	ADP
brj-23074	55	2	each	each	DET
brj-23074	55	3	printing	printing	NOUN
brj-23074	55	4	paper	paper	NOUN
brj-23074	55	5	product	product	NOUN
brj-23074	55	6	,	,	PUNCT
brj-23074	55	7	the	the	DET
brj-23074	55	8	ir	ir	PROPN
brj-23074	55	9	spectra	spectra	NOUN
brj-23074	55	10	from	from	ADP
brj-23074	55	11	5	5	NUM
brj-23074	55	12	samples	sample	NOUN
brj-23074	55	13	were	be	AUX
brj-23074	55	14	collected	collect	VERB
brj-23074	55	15	,	,	PUNCT
brj-23074	55	16	resulting	result	VERB
brj-23074	55	17	in	in	ADP
brj-23074	55	18	a	a	DET
brj-23074	55	19	dataset	dataset	NOUN
brj-23074	55	20	comprising	comprise	VERB
brj-23074	55	21	325	325	NUM
brj-23074	55	22	spectra	spectra	NOUN
brj-23074	55	23	for	for	ADP
brj-23074	55	24	the	the	DET
brj-23074	55	25	classification	classification	NOUN
brj-23074	55	26	model	model	NOUN
brj-23074	55	27	.	.	PUNCT
brj-23074	56	1	data	datum	NOUN
brj-23074	56	2	preprocessing	preprocesse	VERB
brj-23074	56	3	the	the	DET
brj-23074	56	4	ir	ir	PROPN
brj-23074	56	5	spectra	spectra	NOUN
brj-23074	56	6	were	be	AUX
brj-23074	56	7	preprocessed	preprocesse	VERB
brj-23074	56	8	using	use	VERB
brj-23074	56	9	a	a	DET
brj-23074	56	10	savitzky	savitzky	ADJ
brj-23074	56	11	–	–	PUNCT
brj-23074	56	12	golay	golay	NOUN
brj-23074	56	13	filter	filter	NOUN
brj-23074	56	14	(	(	PUNCT
brj-23074	56	15	savitzky	savitzky	NOUN
brj-23074	56	16	and	and	CCONJ
brj-23074	56	17	golay	golay	VERB
brj-23074	56	18	1964	1964	NUM
brj-23074	56	19	)	)	PUNCT
brj-23074	56	20	.	.	PUNCT
brj-23074	57	1	the	the	DET
brj-23074	57	2	original	original	ADJ
brj-23074	57	3	spectra	spectra	NOUN
brj-23074	57	4	were	be	AUX
brj-23074	57	5	transformed	transform	VERB
brj-23074	57	6	into	into	ADP
brj-23074	57	7	second	second	ADJ
brj-23074	57	8	-	-	PUNCT
brj-23074	57	9	derivative	derivative	ADJ
brj-23074	57	10	spectra	spectra	NOUN
brj-23074	57	11	using	use	VERB
brj-23074	57	12	a	a	DET
brj-23074	57	13	third	third	ADJ
brj-23074	57	14	polynomial	polynomial	NOUN
brj-23074	57	15	with	with	ADP
brj-23074	57	16	21	21	NUM
brj-23074	57	17	-	-	PUNCT
brj-23074	57	18	point	point	NOUN
brj-23074	57	19	smoothing	smoothing	NOUN
brj-23074	57	20	.	.	PUNCT
brj-23074	58	1	this	this	DET
brj-23074	58	2	preprocessing	preprocessing	NOUN
brj-23074	58	3	was	be	AUX
brj-23074	58	4	used	use	VERB
brj-23074	58	5	to	to	PART
brj-23074	58	6	consistently	consistently	ADV
brj-23074	58	7	adjust	adjust	VERB
brj-23074	58	8	the	the	DET
brj-23074	58	9	baseline	baseline	NOUN
brj-23074	58	10	of	of	ADP
brj-23074	58	11	the	the	DET
brj-23074	58	12	spectra	spectra	NOUN
brj-23074	58	13	and	and	CCONJ
brj-23074	58	14	amplify	amplify	VERB
brj-23074	58	15	peaks	peak	NOUN
brj-23074	58	16	,	,	PUNCT
brj-23074	58	17	thus	thus	ADV
brj-23074	58	18	emphasizing	emphasize	VERB
brj-23074	58	19	differences	difference	NOUN
brj-23074	58	20	between	between	ADP
brj-23074	58	21	the	the	DET
brj-23074	58	22	spectra	spectra	NOUN
brj-23074	58	23	(	(	PUNCT
brj-23074	58	24	hwang	hwang	PROPN
brj-23074	58	25	et	et	PROPN
brj-23074	58	26	al	al	PROPN
brj-23074	58	27	.	.	PROPN
brj-23074	58	28	2016	2016	NUM
brj-23074	58	29	)	)	PUNCT
brj-23074	58	30	.	.	PUNCT
brj-23074	59	1	the	the	DET
brj-23074	59	2	ir	ir	PROPN
brj-23074	59	3	spectra	spectra	PROPN
brj-23074	59	4	in	in	ADP
brj-23074	59	5	the	the	DET
brj-23074	59	6	range	range	NOUN
brj-23074	59	7	of	of	ADP
brj-23074	59	8	4000	4000	NUM
brj-23074	59	9	to	to	PART
brj-23074	59	10	400	400	NUM
brj-23074	59	11	cm−1	cm−1	NOUN
brj-23074	59	12	comprise	comprise	NOUN
brj-23074	59	13	2545	2545	NUM
brj-23074	59	14	input	input	NOUN
brj-23074	59	15	variables	variable	NOUN
brj-23074	59	16	,	,	PUNCT
brj-23074	59	17	including	include	VERB
brj-23074	59	18	zero	zero	NUM
brj-23074	59	19	-	-	PUNCT
brj-23074	59	20	filled	fill	VERB
brj-23074	59	21	points	point	NOUN
brj-23074	59	22	.	.	PUNCT
brj-23074	60	1	the	the	DET
brj-23074	60	2	ir	ir	PROPN
brj-23074	60	3	spectra	spectra	NOUN
brj-23074	60	4	may	may	AUX
brj-23074	60	5	contain	contain	VERB
brj-23074	60	6	information	information	NOUN
brj-23074	60	7	that	that	PRON
brj-23074	60	8	is	be	AUX
brj-23074	60	9	either	either	CCONJ
brj-23074	60	10	noisy	noisy	ADJ
brj-23074	60	11	or	or	CCONJ
brj-23074	60	12	peer	peer	NOUN
brj-23074	60	13	-	-	PUNCT
brj-23074	60	14	reviewed	review	VERB
brj-23074	60	15	article	article	NOUN
brj-23074	60	16	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	61	1	hwang	hwang	PROPN
brj-23074	61	2	et	et	PROPN
brj-23074	61	3	al	al	PROPN
brj-23074	61	4	.	.	PROPN
brj-23074	61	5	(	(	PUNCT
brj-23074	61	6	2024	2024	NUM
brj-23074	61	7	)	)	PUNCT
brj-23074	61	8	.	.	PUNCT
brj-23074	62	1	“	"	PUNCT
brj-23074	62	2	nir	nir	X
brj-23074	62	3	for	for	ADP
brj-23074	62	4	paper	paper	NOUN
brj-23074	62	5	classification	classification	NOUN
brj-23074	62	6	,	,	PUNCT
brj-23074	62	7	”	"	PUNCT
brj-23074	62	8	bioresources	bioresource	NOUN
brj-23074	62	9	19(1	19(1	NUM
brj-23074	62	10	)	)	PUNCT
brj-23074	62	11	,	,	PUNCT
brj-23074	62	12	1633	1633	NUM
brj-23074	62	13	-	-	SYM
brj-23074	62	14	1651	1651	NUM
brj-23074	62	15	.	.	PUNCT
brj-23074	63	1	1636	1636	NUM
brj-23074	63	2	not	not	PART
brj-23074	63	3	useful	useful	ADJ
brj-23074	63	4	for	for	ADP
brj-23074	63	5	sample	sample	NOUN
brj-23074	63	6	characterization	characterization	NOUN
brj-23074	63	7	.	.	PUNCT
brj-23074	64	1	excess	excess	ADJ
brj-23074	64	2	input	input	NOUN
brj-23074	64	3	variables	variable	NOUN
brj-23074	64	4	are	be	AUX
brj-23074	64	5	a	a	DET
brj-23074	64	6	primary	primary	ADJ
brj-23074	64	7	factor	factor	NOUN
brj-23074	64	8	increasing	increase	VERB
brj-23074	64	9	the	the	DET
brj-23074	64	10	computational	computational	ADJ
brj-23074	64	11	cost	cost	NOUN
brj-23074	64	12	of	of	ADP
brj-23074	64	13	the	the	DET
brj-23074	64	14	model	model	NOUN
brj-23074	64	15	.	.	PUNCT
brj-23074	65	1	therefore	therefore	ADV
brj-23074	65	2	,	,	PUNCT
brj-23074	65	3	herein	herein	NOUN
brj-23074	65	4	,	,	PUNCT
brj-23074	65	5	the	the	DET
brj-23074	65	6	ir	ir	PROPN
brj-23074	65	7	data	datum	NOUN
brj-23074	65	8	from	from	ADP
brj-23074	65	9	two	two	NUM
brj-23074	65	10	regions	region	NOUN
brj-23074	65	11	were	be	AUX
brj-23074	65	12	used	use	VERB
brj-23074	65	13	for	for	ADP
brj-23074	65	14	model	model	NOUN
brj-23074	65	15	training	training	NOUN
brj-23074	65	16	:	:	PUNCT
brj-23074	65	17	4000	4000	NUM
brj-23074	65	18	to	to	PART
brj-23074	65	19	400	400	NUM
brj-23074	65	20	cm−1	cm−1	NOUN
brj-23074	65	21	(	(	PUNCT
brj-23074	65	22	the	the	DET
brj-23074	65	23	entire	entire	ADJ
brj-23074	65	24	range	range	NOUN
brj-23074	65	25	)	)	PUNCT
brj-23074	65	26	and	and	CCONJ
brj-23074	65	27	1800	1800	NUM
brj-23074	65	28	to	to	ADP
brj-23074	65	29	1200	1200	NUM
brj-23074	65	30	cm−1	cm−1	NOUN
brj-23074	65	31	(	(	PUNCT
brj-23074	65	32	the	the	DET
brj-23074	65	33	selected	select	VERB
brj-23074	65	34	range	range	NOUN
brj-23074	65	35	)	)	PUNCT
brj-23074	65	36	.	.	PUNCT
brj-23074	66	1	the	the	DET
brj-23074	66	2	selected	select	VERB
brj-23074	66	3	range	range	NOUN
brj-23074	66	4	is	be	AUX
brj-23074	66	5	suitable	suitable	ADJ
brj-23074	66	6	for	for	ADP
brj-23074	66	7	paper	paper	NOUN
brj-23074	66	8	characterization	characterization	NOUN
brj-23074	66	9	(	(	PUNCT
brj-23074	66	10	kim	kim	PROPN
brj-23074	66	11	and	and	CCONJ
brj-23074	66	12	eom	eom	PROPN
brj-23074	66	13	2016	2016	NUM
brj-23074	66	14	)	)	PUNCT
brj-23074	66	15	,	,	PUNCT
brj-23074	66	16	and	and	CCONJ
brj-23074	66	17	it	it	PRON
brj-23074	66	18	corresponds	correspond	VERB
brj-23074	66	19	to	to	ADP
brj-23074	66	20	425	425	NUM
brj-23074	66	21	input	input	NOUN
brj-23074	66	22	variables	variable	NOUN
brj-23074	66	23	.	.	PUNCT
brj-23074	67	1	through	through	ADP
brj-23074	67	2	data	data	NOUN
brj-23074	67	3	preprocessing	preprocessing	NOUN
brj-23074	67	4	and	and	CCONJ
brj-23074	67	5	selection	selection	NOUN
brj-23074	67	6	,	,	PUNCT
brj-23074	67	7	four	four	NUM
brj-23074	67	8	datasets	dataset	NOUN
brj-23074	67	9	were	be	AUX
brj-23074	67	10	generated	generate	VERB
brj-23074	67	11	from	from	ADP
brj-23074	67	12	the	the	DET
brj-23074	67	13	original	original	ADJ
brj-23074	67	14	ir	ir	PROPN
brj-23074	67	15	spectra	spectra	PROPN
brj-23074	67	16	,	,	PUNCT
brj-23074	67	17	including	include	VERB
brj-23074	67	18	the	the	DET
brj-23074	67	19	entire	entire	ADJ
brj-23074	67	20	range	range	NOUN
brj-23074	67	21	(	(	PUNCT
brj-23074	67	22	dataset	dataset	VERB
brj-23074	67	23	a	a	PRON
brj-23074	67	24	)	)	PUNCT
brj-23074	67	25	and	and	CCONJ
brj-23074	67	26	selected	select	VERB
brj-23074	67	27	range	range	NOUN
brj-23074	67	28	(	(	PUNCT
brj-23074	67	29	dataset	dataset	NOUN
brj-23074	67	30	b	b	NOUN
brj-23074	67	31	)	)	PUNCT
brj-23074	67	32	of	of	ADP
brj-23074	67	33	the	the	DET
brj-23074	67	34	original	original	ADJ
brj-23074	67	35	ir	ir	PROPN
brj-23074	67	36	spectra	spectra	NOUN
brj-23074	67	37	,	,	PUNCT
brj-23074	67	38	as	as	ADV
brj-23074	67	39	well	well	ADV
brj-23074	67	40	as	as	ADP
brj-23074	67	41	the	the	DET
brj-23074	67	42	entire	entire	ADJ
brj-23074	67	43	range	range	NOUN
brj-23074	67	44	(	(	PUNCT
brj-23074	67	45	dataset	dataset	NOUN
brj-23074	67	46	c	c	NOUN
brj-23074	67	47	)	)	PUNCT
brj-23074	67	48	and	and	CCONJ
brj-23074	67	49	selected	select	VERB
brj-23074	67	50	range	range	NOUN
brj-23074	67	51	(	(	PUNCT
brj-23074	67	52	dataset	dataset	NOUN
brj-23074	67	53	d	d	NOUN
brj-23074	67	54	)	)	PUNCT
brj-23074	67	55	of	of	ADP
brj-23074	67	56	the	the	DET
brj-23074	67	57	second	second	ADJ
brj-23074	67	58	-	-	PUNCT
brj-23074	67	59	derivative	derivative	ADJ
brj-23074	67	60	spectra	spectra	NOUN
brj-23074	67	61	.	.	PUNCT
brj-23074	68	1	these	these	DET
brj-23074	68	2	four	four	NUM
brj-23074	68	3	datasets	dataset	NOUN
brj-23074	68	4	were	be	AUX
brj-23074	68	5	then	then	ADV
brj-23074	68	6	used	use	VERB
brj-23074	68	7	to	to	PART
brj-23074	68	8	develop	develop	VERB
brj-23074	68	9	respective	respective	ADJ
brj-23074	68	10	classification	classification	NOUN
brj-23074	68	11	models	model	NOUN
brj-23074	68	12	through	through	ADP
brj-23074	68	13	euclidean	euclidean	ADJ
brj-23074	68	14	(	(	PUNCT
brj-23074	68	15	l2	l2	NOUN
brj-23074	68	16	)	)	PUNCT
brj-23074	68	17	norm	norm	NOUN
brj-23074	68	18	-	-	PUNCT
brj-23074	68	19	based	base	VERB
brj-23074	68	20	vector	vector	NOUN
brj-23074	68	21	normalization	normalization	NOUN
brj-23074	68	22	using	use	VERB
brj-23074	68	23	eq	eq	ADP
brj-23074	68	24	.	.	PROPN
brj-23074	68	25	1	1	NUM
brj-23074	68	26	.	.	PUNCT
brj-23074	69	1	(	(	PUNCT
brj-23074	69	2	fig	fig	NOUN
brj-23074	69	3	.	.	NOUN
brj-23074	70	1	1	1	NUM
brj-23074	70	2	)	)	PUNCT
brj-23074	70	3	,	,	PUNCT
brj-23074	70	4	𝑁𝑜𝑟𝑚𝑎𝑙𝑖𝑧𝑒𝑑	𝑁𝑜𝑟𝑚𝑎𝑙𝑖𝑧𝑒𝑑	PROPN
brj-23074	70	5	𝑣𝑒𝑐𝑡𝑜𝑟	𝑣𝑒𝑐𝑡𝑜𝑟	NOUN
brj-23074	70	6	=	=	PUNCT
brj-23074	70	7	𝑣	𝑣	NOUN
brj-23074	70	8	√∑	√∑	ADV
brj-23074	70	9	|𝑣𝑖|2𝑛	|𝑣𝑖|2𝑛	VERB
brj-23074	70	10	𝑖	𝑖	NOUN
brj-23074	70	11	=	=	SYM
brj-23074	70	12	1	1	NUM
brj-23074	70	13	(	(	PUNCT
brj-23074	70	14	1	1	NUM
brj-23074	70	15	)	)	PUNCT
brj-23074	70	16	where	where	SCONJ
brj-23074	70	17	v	v	NOUN
brj-23074	70	18	is	be	AUX
brj-23074	70	19	the	the	DET
brj-23074	70	20	vector	vector	NOUN
brj-23074	70	21	(	(	PUNCT
brj-23074	70	22	ir	ir	PROPN
brj-23074	70	23	spectrum	spectrum	NOUN
brj-23074	70	24	)	)	PUNCT
brj-23074	70	25	to	to	PART
brj-23074	70	26	be	be	AUX
brj-23074	70	27	normalized	normalize	VERB
brj-23074	70	28	,	,	PUNCT
brj-23074	70	29	vi	vi	PROPN
brj-23074	70	30	is	be	AUX
brj-23074	70	31	ith	ith	PROPN
brj-23074	70	32	element	element	NOUN
brj-23074	70	33	(	(	PUNCT
brj-23074	70	34	data	data	NOUN
brj-23074	70	35	point	point	NOUN
brj-23074	70	36	)	)	PUNCT
brj-23074	70	37	of	of	ADP
brj-23074	70	38	vector	vector	NOUN
brj-23074	70	39	v	v	NOUN
brj-23074	70	40	,	,	PUNCT
brj-23074	70	41	and	and	CCONJ
brj-23074	70	42	n	n	PRON
brj-23074	70	43	is	be	AUX
brj-23074	70	44	the	the	DET
brj-23074	70	45	number	number	NOUN
brj-23074	70	46	of	of	ADP
brj-23074	70	47	vector	vector	NOUN
brj-23074	70	48	elements	element	NOUN
brj-23074	70	49	.	.	PUNCT
brj-23074	71	1	fig	fig	NOUN
brj-23074	71	2	.	.	PUNCT
brj-23074	72	1	1	1	X
brj-23074	72	2	.	.	X
brj-23074	72	3	diagram	diagram	NOUN
brj-23074	72	4	for	for	ADP
brj-23074	72	5	the	the	DET
brj-23074	72	6	classification	classification	NOUN
brj-23074	72	7	of	of	ADP
brj-23074	72	8	printing	print	VERB
brj-23074	72	9	paper	paper	NOUN
brj-23074	72	10	using	use	VERB
brj-23074	72	11	1d	1d	NUM
brj-23074	72	12	cnn	cnn	NOUN
brj-23074	72	13	dataset	dataset	NOUN
brj-23074	72	14	splitting	split	VERB
brj-23074	72	15	the	the	DET
brj-23074	72	16	datasets	dataset	NOUN
brj-23074	72	17	were	be	AUX
brj-23074	72	18	split	split	VERB
brj-23074	72	19	into	into	ADP
brj-23074	72	20	training	training	NOUN
brj-23074	72	21	,	,	PUNCT
brj-23074	72	22	validation	validation	NOUN
brj-23074	72	23	,	,	PUNCT
brj-23074	72	24	and	and	CCONJ
brj-23074	72	25	test	test	NOUN
brj-23074	72	26	sets	set	NOUN
brj-23074	72	27	in	in	ADP
brj-23074	72	28	a	a	DET
brj-23074	72	29	3:1:1	3:1:1	NUM
brj-23074	72	30	ratio	ratio	NOUN
brj-23074	72	31	to	to	PART
brj-23074	72	32	build	build	VERB
brj-23074	72	33	and	and	CCONJ
brj-23074	72	34	evaluate	evaluate	VERB
brj-23074	72	35	the	the	DET
brj-23074	72	36	classification	classification	NOUN
brj-23074	72	37	models	model	NOUN
brj-23074	72	38	.	.	PUNCT
brj-23074	73	1	this	this	DET
brj-23074	73	2	ratio	ratio	NOUN
brj-23074	73	3	represented	represent	VERB
brj-23074	73	4	the	the	DET
brj-23074	73	5	minimum	minimum	ADJ
brj-23074	73	6	requirement	requirement	NOUN
brj-23074	73	7	for	for	ADP
brj-23074	73	8	allocating	allocate	VERB
brj-23074	73	9	data	datum	NOUN
brj-23074	73	10	to	to	ADP
brj-23074	73	11	each	each	DET
brj-23074	73	12	subset	subset	NOUN
brj-23074	73	13	in	in	ADP
brj-23074	73	14	product	product	NOUN
brj-23074	73	15	-	-	PUNCT
brj-23074	73	16	level	level	NOUN
brj-23074	73	17	classification	classification	NOUN
brj-23074	73	18	.	.	PUNCT
brj-23074	74	1	the	the	DET
brj-23074	74	2	data	datum	NOUN
brj-23074	74	3	were	be	AUX
brj-23074	74	4	partitioned	partition	VERB
brj-23074	74	5	using	use	VERB
brj-23074	74	6	stratified	stratify	VERB
brj-23074	74	7	random	random	ADJ
brj-23074	74	8	sampling	sampling	NOUN
brj-23074	74	9	to	to	PART
brj-23074	74	10	maintain	maintain	VERB
brj-23074	74	11	the	the	DET
brj-23074	74	12	specified	specified	ADJ
brj-23074	74	13	split	split	ADJ
brj-23074	74	14	ratio	ratio	NOUN
brj-23074	74	15	for	for	ADP
brj-23074	74	16	all	all	DET
brj-23074	74	17	classes	class	NOUN
brj-23074	74	18	.	.	PUNCT
brj-23074	75	1	principal	principal	ADJ
brj-23074	75	2	component	component	NOUN
brj-23074	75	3	analysis	analysis	NOUN
brj-23074	75	4	(	(	PUNCT
brj-23074	75	5	pca	pca	NOUN
brj-23074	75	6	)	)	PUNCT
brj-23074	75	7	to	to	PART
brj-23074	75	8	analyze	analyze	VERB
brj-23074	75	9	the	the	DET
brj-23074	75	10	ir	ir	PROPN
brj-23074	75	11	spectral	spectral	PROPN
brj-23074	75	12	data	datum	NOUN
brj-23074	75	13	of	of	ADP
brj-23074	75	14	printing	printing	NOUN
brj-23074	75	15	paper	paper	NOUN
brj-23074	75	16	,	,	PUNCT
brj-23074	75	17	pca	pca	PROPN
brj-23074	75	18	was	be	AUX
brj-23074	75	19	conducted	conduct	VERB
brj-23074	75	20	on	on	ADP
brj-23074	75	21	four	four	NUM
brj-23074	75	22	datasets	dataset	NOUN
brj-23074	75	23	.	.	PUNCT
brj-23074	76	1	through	through	ADP
brj-23074	76	2	the	the	DET
brj-23074	76	3	pca	pca	PROPN
brj-23074	76	4	,	,	PUNCT
brj-23074	76	5	the	the	DET
brj-23074	76	6	high	high	ADV
brj-23074	76	7	-	-	PUNCT
brj-23074	76	8	dimensional	dimensional	ADJ
brj-23074	76	9	ir	ir	NOUN
brj-23074	76	10	data	datum	NOUN
brj-23074	76	11	were	be	AUX
brj-23074	76	12	transformed	transform	VERB
brj-23074	76	13	into	into	ADP
brj-23074	76	14	a	a	DET
brj-23074	76	15	new	new	ADJ
brj-23074	76	16	orthogonal	orthogonal	ADJ
brj-23074	76	17	coordinate	coordinate	NOUN
brj-23074	76	18	system	system	NOUN
brj-23074	76	19	with	with	ADP
brj-23074	76	20	six	six	NUM
brj-23074	76	21	principal	principal	ADJ
brj-23074	76	22	components	component	NOUN
brj-23074	76	23	(	(	PUNCT
brj-23074	76	24	pcs	pc	NOUN
brj-23074	76	25	)	)	PUNCT
brj-23074	76	26	.	.	PUNCT
brj-23074	77	1	the	the	DET
brj-23074	77	2	transformed	transform	VERB
brj-23074	77	3	data	datum	NOUN
brj-23074	77	4	peer	peer	NOUN
brj-23074	77	5	-	-	PUNCT
brj-23074	77	6	reviewed	review	VERB
brj-23074	77	7	article	article	NOUN
brj-23074	77	8	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	77	9	hwang	hwang	PROPN
brj-23074	77	10	et	et	PROPN
brj-23074	77	11	al	al	PROPN
brj-23074	77	12	.	.	PROPN
brj-23074	78	1	(	(	PUNCT
brj-23074	78	2	2024	2024	NUM
brj-23074	78	3	)	)	PUNCT
brj-23074	78	4	.	.	PUNCT
brj-23074	79	1	“	"	PUNCT
brj-23074	79	2	nir	nir	X
brj-23074	79	3	for	for	ADP
brj-23074	79	4	paper	paper	NOUN
brj-23074	79	5	classification	classification	NOUN
brj-23074	79	6	,	,	PUNCT
brj-23074	79	7	”	"	PUNCT
brj-23074	79	8	bioresources	bioresource	NOUN
brj-23074	79	9	19(1	19(1	NUM
brj-23074	79	10	)	)	PUNCT
brj-23074	79	11	,	,	PUNCT
brj-23074	79	12	1633	1633	NUM
brj-23074	79	13	-	-	SYM
brj-23074	79	14	1651	1651	NUM
brj-23074	79	15	.	.	PUNCT
brj-23074	80	1	1637	1637	NUM
brj-23074	80	2	were	be	AUX
brj-23074	80	3	subsequently	subsequently	ADV
brj-23074	80	4	visualized	visualize	VERB
brj-23074	80	5	in	in	ADP
brj-23074	80	6	a	a	DET
brj-23074	80	7	two	two	NUM
brj-23074	80	8	-	-	PUNCT
brj-23074	80	9	dimensional	dimensional	ADJ
brj-23074	80	10	(	(	PUNCT
brj-23074	80	11	2d	2d	NOUN
brj-23074	80	12	)	)	PUNCT
brj-23074	80	13	space	space	NOUN
brj-23074	80	14	to	to	PART
brj-23074	80	15	investigate	investigate	VERB
brj-23074	80	16	the	the	DET
brj-23074	80	17	structure	structure	NOUN
brj-23074	80	18	and	and	CCONJ
brj-23074	80	19	patterns	pattern	NOUN
brj-23074	80	20	in	in	ADP
brj-23074	80	21	the	the	DET
brj-23074	80	22	ir	ir	PROPN
brj-23074	80	23	data	datum	NOUN
brj-23074	80	24	for	for	ADP
brj-23074	80	25	printing	printing	NOUN
brj-23074	80	26	paper	paper	NOUN
brj-23074	80	27	.	.	PUNCT
brj-23074	81	1	1d	1d	NUM
brj-23074	81	2	cnn	cnn	PROPN
brj-23074	81	3	classification	classification	NOUN
brj-23074	81	4	model	model	NOUN
brj-23074	81	5	1d	1d	NUM
brj-23074	81	6	cnn	cnn	NOUN
brj-23074	81	7	architecture	architecture	NOUN
brj-23074	81	8	the	the	DET
brj-23074	81	9	cnns	cnn	NOUN
brj-23074	81	10	are	be	AUX
brj-23074	81	11	fundamental	fundamental	ADJ
brj-23074	81	12	for	for	ADP
brj-23074	81	13	deep	deep	ADJ
brj-23074	81	14	learning	learning	NOUN
brj-23074	81	15	;	;	PUNCT
brj-23074	81	16	they	they	PRON
brj-23074	81	17	are	be	AUX
brj-23074	81	18	predominantly	predominantly	ADV
brj-23074	81	19	used	use	VERB
brj-23074	81	20	in	in	ADP
brj-23074	81	21	image	image	NOUN
brj-23074	81	22	processing	processing	NOUN
brj-23074	81	23	,	,	PUNCT
brj-23074	81	24	where	where	SCONJ
brj-23074	81	25	they	they	PRON
brj-23074	81	26	excel	excel	VERB
brj-23074	81	27	in	in	ADP
brj-23074	81	28	feature	feature	NOUN
brj-23074	81	29	extraction	extraction	NOUN
brj-23074	81	30	from	from	ADP
brj-23074	81	31	2d	2d	NUM
brj-23074	81	32	data	datum	NOUN
brj-23074	81	33	to	to	PART
brj-23074	81	34	facilitate	facilitate	VERB
brj-23074	81	35	image	image	NOUN
brj-23074	81	36	recognition	recognition	NOUN
brj-23074	81	37	and	and	CCONJ
brj-23074	81	38	classification	classification	NOUN
brj-23074	81	39	.	.	PUNCT
brj-23074	82	1	similarly	similarly	ADV
brj-23074	82	2	,	,	PUNCT
brj-23074	82	3	1d	1d	NUM
brj-23074	82	4	cnns	cnn	NOUN
brj-23074	82	5	,	,	PUNCT
brj-23074	82	6	operated	operate	VERB
brj-23074	82	7	based	base	VERB
brj-23074	82	8	on	on	ADP
brj-23074	82	9	the	the	DET
brj-23074	82	10	same	same	ADJ
brj-23074	82	11	technical	technical	ADJ
brj-23074	82	12	principles	principle	NOUN
brj-23074	82	13	,	,	PUNCT
brj-23074	82	14	are	be	AUX
brj-23074	82	15	used	use	VERB
brj-23074	82	16	to	to	PART
brj-23074	82	17	extract	extract	VERB
brj-23074	82	18	features	feature	NOUN
brj-23074	82	19	from	from	ADP
brj-23074	82	20	1d	1d	NUM
brj-23074	82	21	data	datum	NOUN
brj-23074	82	22	for	for	ADP
brj-23074	82	23	predictive	predictive	ADJ
brj-23074	82	24	purposes	purpose	NOUN
brj-23074	82	25	.	.	PUNCT
brj-23074	83	1	the	the	DET
brj-23074	83	2	architecture	architecture	NOUN
brj-23074	83	3	of	of	ADP
brj-23074	83	4	the	the	DET
brj-23074	83	5	1d	1d	NUM
brj-23074	83	6	cnn	cnn	NOUN
brj-23074	83	7	models	model	NOUN
brj-23074	83	8	tailored	tailor	VERB
brj-23074	83	9	for	for	ADP
brj-23074	83	10	the	the	DET
brj-23074	83	11	classification	classification	NOUN
brj-23074	83	12	of	of	ADP
brj-23074	83	13	printing	print	VERB
brj-23074	83	14	paper	paper	NOUN
brj-23074	83	15	in	in	ADP
brj-23074	83	16	this	this	DET
brj-23074	83	17	study	study	NOUN
brj-23074	83	18	is	be	AUX
brj-23074	83	19	illustrated	illustrate	VERB
brj-23074	83	20	in	in	ADP
brj-23074	83	21	fig	fig	NOUN
brj-23074	83	22	.	.	PUNCT
brj-23074	84	1	2	2	X
brj-23074	84	2	.	.	X
brj-23074	84	3	the	the	DET
brj-23074	84	4	used	use	VERB
brj-23074	84	5	1d	1d	NUM
brj-23074	84	6	cnn	cnn	PROPN
brj-23074	84	7	networks	network	NOUN
brj-23074	84	8	comprise	comprise	VERB
brj-23074	84	9	two	two	NUM
brj-23074	84	10	convolutional	convolutional	ADJ
brj-23074	84	11	layers	layer	NOUN
brj-23074	84	12	and	and	CCONJ
brj-23074	84	13	two	two	NUM
brj-23074	84	14	fully	fully	ADV
brj-23074	84	15	connected	connected	ADJ
brj-23074	84	16	layers	layer	NOUN
brj-23074	84	17	,	,	PUNCT
brj-23074	84	18	with	with	ADP
brj-23074	84	19	each	each	DET
brj-23074	84	20	convolutional	convolutional	ADJ
brj-23074	84	21	layer	layer	NOUN
brj-23074	84	22	forming	form	VERB
brj-23074	84	23	a	a	DET
brj-23074	84	24	module	module	NOUN
brj-23074	84	25	in	in	ADP
brj-23074	84	26	conjunction	conjunction	NOUN
brj-23074	84	27	with	with	ADP
brj-23074	84	28	a	a	DET
brj-23074	84	29	max	max	NOUN
brj-23074	84	30	-	-	PUNCT
brj-23074	84	31	pooling	pool	VERB
brj-23074	84	32	layer	layer	NOUN
brj-23074	84	33	.	.	PUNCT
brj-23074	85	1	these	these	DET
brj-23074	85	2	modules	module	NOUN
brj-23074	85	3	abstract	abstract	ADJ
brj-23074	85	4	and	and	CCONJ
brj-23074	85	5	extract	extract	VERB
brj-23074	85	6	features	feature	NOUN
brj-23074	85	7	from	from	ADP
brj-23074	85	8	the	the	DET
brj-23074	85	9	input	input	NOUN
brj-23074	85	10	data	datum	NOUN
brj-23074	85	11	,	,	PUNCT
brj-23074	85	12	specifically	specifically	ADV
brj-23074	85	13	from	from	ADP
brj-23074	85	14	the	the	DET
brj-23074	85	15	ir	ir	PROPN
brj-23074	85	16	spectrum	spectrum	NOUN
brj-23074	85	17	,	,	PUNCT
brj-23074	85	18	through	through	ADP
brj-23074	85	19	data	datum	NOUN
brj-23074	85	20	abstraction	abstraction	NOUN
brj-23074	85	21	and	and	CCONJ
brj-23074	85	22	down	down	ADV
brj-23074	85	23	-	-	PUNCT
brj-23074	85	24	sampling	sample	VERB
brj-23074	85	25	.	.	PUNCT
brj-23074	86	1	rectified	rectify	VERB
brj-23074	86	2	linear	linear	PROPN
brj-23074	86	3	unit	unit	NOUN
brj-23074	86	4	(	(	PUNCT
brj-23074	86	5	relu	relu	NOUN
brj-23074	86	6	)	)	PUNCT
brj-23074	86	7	was	be	AUX
brj-23074	86	8	used	use	VERB
brj-23074	86	9	as	as	ADP
brj-23074	86	10	the	the	DET
brj-23074	86	11	activation	activation	NOUN
brj-23074	86	12	function	function	NOUN
brj-23074	86	13	.	.	PUNCT
brj-23074	87	1	the	the	DET
brj-23074	87	2	learned	learn	VERB
brj-23074	87	3	features	feature	NOUN
brj-23074	87	4	from	from	ADP
brj-23074	87	5	the	the	DET
brj-23074	87	6	convolutional	convolutional	ADJ
brj-23074	87	7	modules	module	NOUN
brj-23074	87	8	are	be	AUX
brj-23074	87	9	passed	pass	VERB
brj-23074	87	10	to	to	ADP
brj-23074	87	11	a	a	DET
brj-23074	87	12	network	network	NOUN
brj-23074	87	13	composed	compose	VERB
brj-23074	87	14	of	of	ADP
brj-23074	87	15	one	one	NUM
brj-23074	87	16	flatten	flatten	ADJ
brj-23074	87	17	layer	layer	NOUN
brj-23074	87	18	,	,	PUNCT
brj-23074	87	19	two	two	NUM
brj-23074	87	20	fully	fully	ADV
brj-23074	87	21	connected	connected	ADJ
brj-23074	87	22	layers	layer	NOUN
brj-23074	87	23	,	,	PUNCT
brj-23074	87	24	and	and	CCONJ
brj-23074	87	25	one	one	NUM
brj-23074	87	26	softmax	softmax	NOUN
brj-23074	87	27	layer	layer	NOUN
brj-23074	87	28	for	for	ADP
brj-23074	87	29	training	training	NOUN
brj-23074	87	30	and	and	CCONJ
brj-23074	87	31	performing	perform	VERB
brj-23074	87	32	prediction	prediction	NOUN
brj-23074	87	33	tasks	task	NOUN
brj-23074	87	34	using	use	VERB
brj-23074	87	35	the	the	DET
brj-23074	87	36	input	input	NOUN
brj-23074	87	37	data	datum	NOUN
brj-23074	87	38	.	.	PUNCT
brj-23074	88	1	fig	fig	NOUN
brj-23074	88	2	.	.	PUNCT
brj-23074	89	1	2	2	X
brj-23074	89	2	.	.	X
brj-23074	89	3	architecture	architecture	NOUN
brj-23074	89	4	of	of	ADP
brj-23074	89	5	the	the	DET
brj-23074	89	6	1d	1d	NUM
brj-23074	89	7	cnn	cnn	NOUN
brj-23074	89	8	model	model	NOUN
brj-23074	89	9	for	for	ADP
brj-23074	89	10	printing	print	VERB
brj-23074	89	11	paper	paper	NOUN
brj-23074	89	12	classification	classification	NOUN
brj-23074	89	13	.	.	PUNCT
brj-23074	90	1	numbers	number	NOUN
brj-23074	90	2	in	in	ADP
brj-23074	90	3	parentheses	parenthesis	NOUN
brj-23074	90	4	indicate	indicate	VERB
brj-23074	90	5	layer	layer	NOUN
brj-23074	90	6	shapes	shape	NOUN
brj-23074	90	7	.	.	PUNCT
brj-23074	91	1	notes	note	NOUN
brj-23074	91	2	:	:	PUNCT
brj-23074	91	3	conv	conv	ADJ
brj-23074	91	4	,	,	PUNCT
brj-23074	91	5	convolution	convolution	NOUN
brj-23074	91	6	layer	layer	NOUN
brj-23074	91	7	;	;	PUNCT
brj-23074	91	8	fc	fc	INTJ
brj-23074	91	9	,	,	PUNCT
brj-23074	91	10	fully	fully	ADV
brj-23074	91	11	connected	connected	ADJ
brj-23074	91	12	layer	layer	NOUN
brj-23074	91	13	the	the	DET
brj-23074	91	14	details	detail	NOUN
brj-23074	91	15	of	of	ADP
brj-23074	91	16	the	the	DET
brj-23074	91	17	hyperparameters	hyperparameter	NOUN
brj-23074	91	18	tested	test	VERB
brj-23074	91	19	and	and	CCONJ
brj-23074	91	20	their	their	PRON
brj-23074	91	21	application	application	NOUN
brj-23074	91	22	within	within	ADP
brj-23074	91	23	the	the	DET
brj-23074	91	24	network	network	NOUN
brj-23074	91	25	for	for	ADP
brj-23074	91	26	establishing	establish	VERB
brj-23074	91	27	the	the	DET
brj-23074	91	28	1d	1d	NUM
brj-23074	91	29	cnn	cnn	NOUN
brj-23074	91	30	model	model	NOUN
brj-23074	91	31	are	be	AUX
brj-23074	91	32	shown	show	VERB
brj-23074	91	33	in	in	ADP
brj-23074	91	34	table	table	NOUN
brj-23074	91	35	2	2	NUM
brj-23074	91	36	.	.	PUNCT
brj-23074	92	1	these	these	DET
brj-23074	92	2	hyperparameters	hyperparameter	NOUN
brj-23074	92	3	were	be	AUX
brj-23074	92	4	optimized	optimize	VERB
brj-23074	92	5	through	through	ADP
brj-23074	92	6	loop	loop	NOUN
brj-23074	92	7	-	-	PUNCT
brj-23074	92	8	based	base	VERB
brj-23074	92	9	testing	testing	NOUN
brj-23074	92	10	.	.	PUNCT
brj-23074	93	1	each	each	DET
brj-23074	93	2	1d	1d	NUM
brj-23074	93	3	cnn	cnn	PROPN
brj-23074	93	4	model	model	NOUN
brj-23074	93	5	for	for	ADP
brj-23074	93	6	printing	print	VERB
brj-23074	93	7	paper	paper	NOUN
brj-23074	93	8	classification	classification	NOUN
brj-23074	93	9	was	be	AUX
brj-23074	93	10	trained	train	VERB
brj-23074	93	11	for	for	ADP
brj-23074	93	12	700	700	NUM
brj-23074	93	13	epochs	epoch	NOUN
brj-23074	93	14	using	use	VERB
brj-23074	93	15	categorical	categorical	ADJ
brj-23074	93	16	crossentropy	crossentropy	NOUN
brj-23074	93	17	as	as	ADP
brj-23074	93	18	the	the	DET
brj-23074	93	19	loss	loss	NOUN
brj-23074	93	20	function	function	NOUN
brj-23074	93	21	.	.	PUNCT
brj-23074	94	1	evaluation	evaluation	NOUN
brj-23074	94	2	metric	metric	ADJ
brj-23074	94	3	printing	printing	NOUN
brj-23074	94	4	paper	paper	NOUN
brj-23074	94	5	products	product	NOUN
brj-23074	94	6	are	be	AUX
brj-23074	94	7	inequally	inequally	ADV
brj-23074	94	8	distributed	distribute	VERB
brj-23074	94	9	across	across	ADP
brj-23074	94	10	manufacturing	manufacturing	NOUN
brj-23074	94	11	countries	country	NOUN
brj-23074	94	12	;	;	PUNCT
brj-23074	94	13	thus	thus	ADV
brj-23074	94	14	,	,	PUNCT
brj-23074	94	15	the	the	DET
brj-23074	94	16	evaluations	evaluation	NOUN
brj-23074	94	17	of	of	ADP
brj-23074	94	18	the	the	DET
brj-23074	94	19	classification	classification	NOUN
brj-23074	94	20	performance	performance	NOUN
brj-23074	94	21	of	of	ADP
brj-23074	94	22	models	model	NOUN
brj-23074	94	23	using	use	VERB
brj-23074	94	24	accuracy	accuracy	NOUN
brj-23074	94	25	may	may	AUX
brj-23074	94	26	be	be	AUX
brj-23074	94	27	biased	bias	VERB
brj-23074	94	28	because	because	SCONJ
brj-23074	94	29	of	of	ADP
brj-23074	94	30	oversampled	oversample	VERB
brj-23074	94	31	classes	class	NOUN
brj-23074	94	32	.	.	PUNCT
brj-23074	95	1	consequently	consequently	ADV
brj-23074	95	2	,	,	PUNCT
brj-23074	95	3	in	in	ADP
brj-23074	95	4	this	this	DET
brj-23074	95	5	study	study	NOUN
brj-23074	95	6	,	,	PUNCT
brj-23074	95	7	the	the	DET
brj-23074	95	8	weighted	weight	VERB
brj-23074	95	9	f1	f1	NOUN
brj-23074	95	10	score	score	NOUN
brj-23074	95	11	was	be	AUX
brj-23074	95	12	used	use	VERB
brj-23074	95	13	for	for	ADP
brj-23074	95	14	assessing	assess	VERB
brj-23074	95	15	the	the	DET
brj-23074	95	16	classification	classification	NOUN
brj-23074	95	17	performance	performance	NOUN
brj-23074	95	18	of	of	ADP
brj-23074	95	19	the	the	DET
brj-23074	95	20	1d	1d	NUM
brj-23074	95	21	cnn	cnn	NOUN
brj-23074	95	22	models	model	NOUN
brj-23074	95	23	.	.	PUNCT
brj-23074	96	1	the	the	DET
brj-23074	96	2	f1	f1	PROPN
brj-23074	96	3	score	score	NOUN
brj-23074	96	4	,	,	PUNCT
brj-23074	96	5	which	which	PRON
brj-23074	96	6	is	be	AUX
brj-23074	96	7	the	the	DET
brj-23074	96	8	harmonic	harmonic	ADJ
brj-23074	96	9	mean	mean	NOUN
brj-23074	96	10	of	of	ADP
brj-23074	96	11	precision	precision	NOUN
brj-23074	96	12	(	(	PUNCT
brj-23074	96	13	eq	eq	NOUN
brj-23074	96	14	.	.	NOUN
brj-23074	96	15	2	2	NUM
brj-23074	96	16	)	)	PUNCT
brj-23074	96	17	and	and	CCONJ
brj-23074	96	18	recall	recall	NOUN
brj-23074	96	19	(	(	PUNCT
brj-23074	96	20	eq	eq	NOUN
brj-23074	96	21	.	.	NOUN
brj-23074	96	22	3	3	NUM
brj-23074	96	23	)	)	PUNCT
brj-23074	96	24	,	,	PUNCT
brj-23074	96	25	is	be	AUX
brj-23074	96	26	a	a	DET
brj-23074	96	27	commonly	commonly	ADV
brj-23074	96	28	used	use	VERB
brj-23074	96	29	performance	performance	NOUN
brj-23074	96	30	metric	metric	ADJ
brj-23074	96	31	in	in	ADP
brj-23074	96	32	classification	classification	NOUN
brj-23074	96	33	problems	problem	NOUN
brj-23074	96	34	with	with	ADP
brj-23074	96	35	class	class	NOUN
brj-23074	96	36	imbalance	imbalance	NOUN
brj-23074	96	37	;	;	PUNCT
brj-23074	96	38	it	it	PRON
brj-23074	96	39	is	be	AUX
brj-23074	96	40	defined	define	VERB
brj-23074	96	41	in	in	ADP
brj-23074	96	42	eq	eq	ADJ
brj-23074	96	43	.	.	PROPN
brj-23074	96	44	3	3	NUM
brj-23074	96	45	.	.	NOUN
brj-23074	96	46	peer	peer	NOUN
brj-23074	96	47	-	-	PUNCT
brj-23074	96	48	reviewed	review	VERB
brj-23074	96	49	article	article	NOUN
brj-23074	96	50	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	97	1	hwang	hwang	PROPN
brj-23074	97	2	et	et	PROPN
brj-23074	97	3	al	al	PROPN
brj-23074	97	4	.	.	PROPN
brj-23074	97	5	(	(	PUNCT
brj-23074	97	6	2024	2024	NUM
brj-23074	97	7	)	)	PUNCT
brj-23074	97	8	.	.	PUNCT
brj-23074	98	1	“	"	PUNCT
brj-23074	98	2	nir	nir	X
brj-23074	98	3	for	for	ADP
brj-23074	98	4	paper	paper	NOUN
brj-23074	98	5	classification	classification	NOUN
brj-23074	98	6	,	,	PUNCT
brj-23074	98	7	”	"	PUNCT
brj-23074	98	8	bioresources	bioresource	NOUN
brj-23074	98	9	19(1	19(1	NUM
brj-23074	98	10	)	)	PUNCT
brj-23074	98	11	,	,	PUNCT
brj-23074	98	12	1633	1633	NUM
brj-23074	98	13	-	-	SYM
brj-23074	98	14	1651	1651	NUM
brj-23074	98	15	.	.	PUNCT
brj-23074	98	16	1638	1638	NUM
brj-23074	98	17	precision	precision	NOUN
brj-23074	98	18	=	=	PRON
brj-23074	98	19	tp	tp	NOUN
brj-23074	98	20	tp	tp	ADP
brj-23074	98	21	+	+	CCONJ
brj-23074	98	22	fp	fp	X
brj-23074	98	23	(	(	PUNCT
brj-23074	98	24	2	2	NUM
brj-23074	98	25	)	)	PUNCT
brj-23074	98	26	recall	recall	NOUN
brj-23074	98	27	=	=	VERB
brj-23074	98	28	tp	tp	NOUN
brj-23074	98	29	tp	tp	ADP
brj-23074	98	30	+	+	CCONJ
brj-23074	99	1	fn	fn	PROPN
brj-23074	100	1	(	(	PUNCT
brj-23074	100	2	3	3	NUM
brj-23074	100	3	)	)	PUNCT
brj-23074	100	4	where	where	SCONJ
brj-23074	100	5	tp	tp	NOUN
brj-23074	100	6	is	be	AUX
brj-23074	100	7	the	the	DET
brj-23074	100	8	true	true	ADJ
brj-23074	100	9	positives	positive	NOUN
brj-23074	100	10	,	,	PUNCT
brj-23074	100	11	fp	fp	X
brj-23074	100	12	is	be	AUX
brj-23074	100	13	the	the	DET
brj-23074	100	14	false	false	ADJ
brj-23074	100	15	positives	positive	NOUN
brj-23074	100	16	,	,	PUNCT
brj-23074	100	17	and	and	CCONJ
brj-23074	100	18	fn	fn	NOUN
brj-23074	100	19	is	be	AUX
brj-23074	100	20	the	the	DET
brj-23074	100	21	false	false	ADJ
brj-23074	100	22	negatives	negative	NOUN
brj-23074	100	23	.	.	PUNCT
brj-23074	101	1	f1𝑖	f1𝑖	PROPN
brj-23074	101	2	=	=	SYM
brj-23074	101	3	2	2	NUM
brj-23074	101	4	×	×	NOUN
brj-23074	101	5	p𝑖	p𝑖	NOUN
brj-23074	101	6	×	×	NOUN
brj-23074	101	7	r𝑖	r𝑖	ADP
brj-23074	101	8	p𝑖	p𝑖	NOUN
brj-23074	101	9	+	+	CCONJ
brj-23074	101	10	r𝑖	r𝑖	NOUN
brj-23074	101	11	(	(	PUNCT
brj-23074	101	12	4	4	NUM
brj-23074	101	13	)	)	PUNCT
brj-23074	101	14	where	where	SCONJ
brj-23074	101	15	f1i	f1i	PROPN
brj-23074	101	16	,	,	PUNCT
brj-23074	101	17	pi	pi	NOUN
brj-23074	101	18	,	,	PUNCT
brj-23074	101	19	and	and	CCONJ
brj-23074	101	20	ri	ri	PROPN
brj-23074	101	21	are	be	AUX
brj-23074	101	22	the	the	DET
brj-23074	101	23	f1	f1	PROPN
brj-23074	101	24	score	score	NOUN
brj-23074	101	25	,	,	PUNCT
brj-23074	101	26	precision	precision	NOUN
brj-23074	101	27	,	,	PUNCT
brj-23074	101	28	and	and	CCONJ
brj-23074	101	29	recall	recall	VERB
brj-23074	101	30	for	for	ADP
brj-23074	101	31	class	class	NOUN
brj-23074	101	32	i	i	PROPN
brj-23074	101	33	,	,	PUNCT
brj-23074	101	34	respectively	respectively	ADV
brj-23074	101	35	.	.	PUNCT
brj-23074	101	36	table	table	NOUN
brj-23074	101	37	2	2	NUM
brj-23074	101	38	.	.	PUNCT
brj-23074	101	39	detailed	detailed	ADJ
brj-23074	101	40	hyperparameters	hyperparameter	NOUN
brj-23074	101	41	used	use	VERB
brj-23074	101	42	for	for	ADP
brj-23074	101	43	building	build	VERB
brj-23074	101	44	the	the	DET
brj-23074	101	45	1d	1d	NUM
brj-23074	101	46	cnn	cnn	PROPN
brj-23074	101	47	model	model	NOUN
brj-23074	101	48	hyperparameter	hyperparameter	NOUN
brj-23074	101	49	configuration	configuration	NOUN
brj-23074	101	50	•	•	NUM
brj-23074	101	51	kernel_size	kernel_size	PROPN
brj-23074	102	1	=	=	PUNCT
brj-23074	103	1	[	[	X
brj-23074	103	2	3	3	NUM
brj-23074	103	3	,	,	PUNCT
brj-23074	103	4	5	5	NUM
brj-23074	103	5	,	,	PUNCT
brj-23074	103	6	7	7	NUM
brj-23074	103	7	]	]	SYM
brj-23074	103	8	•	•	NUM
brj-23074	103	9	filters	filter	NOUN
brj-23074	103	10	=	=	PUNCT
brj-23074	104	1	[	[	X
brj-23074	104	2	16	16	NUM
brj-23074	104	3	,	,	PUNCT
brj-23074	104	4	32	32	NUM
brj-23074	104	5	,	,	PUNCT
brj-23074	104	6	64	64	NUM
brj-23074	104	7	]	]	SYM
brj-23074	104	8	•	•	NOUN
brj-23074	104	9	pool_size	pool_size	NOUN
brj-23074	104	10	=	=	PUNCT
brj-23074	105	1	[	[	X
brj-23074	105	2	2	2	NUM
brj-23074	105	3	,	,	PUNCT
brj-23074	105	4	4	4	NUM
brj-23074	105	5	]	]	SYM
brj-23074	105	6	•	•	NUM
brj-23074	105	7	dense_units	dense_unit	NOUN
brj-23074	105	8	=	=	PUNCT
brj-23074	106	1	[	[	X
brj-23074	106	2	128	128	NUM
brj-23074	106	3	,	,	PUNCT
brj-23074	106	4	256	256	NUM
brj-23074	106	5	]	]	SYM
brj-23074	106	6	•	•	NUM
brj-23074	106	7	dropout_rate	dropout_rate	ADJ
brj-23074	106	8	=	=	PUNCT
brj-23074	107	1	[	[	X
brj-23074	107	2	0.5	0.5	NUM
brj-23074	107	3	,	,	PUNCT
brj-23074	107	4	0.3	0.3	NUM
brj-23074	107	5	]	]	PUNCT
brj-23074	107	6	•	•	NUM
brj-23074	107	7	learning_rate	learning_rate	PROPN
brj-23074	107	8	=	=	PUNCT
brj-23074	108	1	[	[	X
brj-23074	108	2	0.0001	0.0001	NUM
brj-23074	108	3	,	,	PUNCT
brj-23074	108	4	0.001	0.001	NUM
brj-23074	108	5	,	,	PUNCT
brj-23074	108	6	0.01	0.01	NUM
brj-23074	108	7	,	,	PUNCT
brj-23074	108	8	0.1	0.1	NUM
brj-23074	108	9	]	]	PUNCT
brj-23074	108	10	•	•	NUM
brj-23074	108	11	optimizer	optimizer	NOUN
brj-23074	108	12	=	=	PUNCT
brj-23074	109	1	[	[	X
brj-23074	109	2	sgd	sgd	X
brj-23074	109	3	,	,	PUNCT
brj-23074	109	4	adam	adam	NOUN
brj-23074	109	5	,	,	PUNCT
brj-23074	109	6	rmsprop	rmsprop	NOUN
brj-23074	109	7	]	]	PUNCT
brj-23074	109	8	layer	layer	NOUN
brj-23074	109	9	layer	layer	NOUN
brj-23074	109	10	shape	shape	NOUN
brj-23074	109	11	hyperparameters	hyperparameter	NOUN
brj-23074	109	12	conv_1	conv_1	PROPN
brj-23074	109	13	(	(	PUNCT
brj-23074	109	14	n_features	n_feature	NOUN
brj-23074	109	15	,	,	PUNCT
brj-23074	109	16	filters	filter	NOUN
brj-23074	109	17	)	)	PUNCT
brj-23074	109	18	kernel_size	kernel_size	PROPN
brj-23074	109	19	,	,	PUNCT
brj-23074	109	20	filters	filter	NOUN
brj-23074	109	21	max_pool_1	max_pool_1	ADJ
brj-23074	109	22	(	(	PUNCT
brj-23074	109	23	n_features	n_feature	NOUN
brj-23074	109	24	/	/	SYM
brj-23074	109	25	pool_size	pool_size	PROPN
brj-23074	109	26	,	,	PUNCT
brj-23074	109	27	filters	filter	NOUN
brj-23074	109	28	)	)	PUNCT
brj-23074	109	29	pool_size	pool_size	PROPN
brj-23074	109	30	conv_2	conv_2	NOUN
brj-23074	109	31	(	(	PUNCT
brj-23074	109	32	n_features	n_feature	NOUN
brj-23074	109	33	/	/	SYM
brj-23074	109	34	pool_size	pool_size	PROPN
brj-23074	109	35	,	,	PUNCT
brj-23074	109	36	filters	filter	VERB
brj-23074	109	37	×	×	NOUN
brj-23074	109	38	2	2	NUM
brj-23074	109	39	)	)	PUNCT
brj-23074	109	40	kernel_size	kernel_size	PROPN
brj-23074	109	41	,	,	PUNCT
brj-23074	109	42	filters	filter	NOUN
brj-23074	109	43	max_pool_2	max_pool_2	ADV
brj-23074	109	44	(	(	PUNCT
brj-23074	109	45	(	(	PUNCT
brj-23074	109	46	n_features	n_feature	NOUN
brj-23074	109	47	/	/	SYM
brj-23074	109	48	pool_size	pool_size	PROPN
brj-23074	109	49	)	)	PUNCT
brj-23074	109	50	/	/	SYM
brj-23074	109	51	pool_size	pool_size	NOUN
brj-23074	109	52	)	)	PUNCT
brj-23074	109	53	,	,	PUNCT
brj-23074	109	54	filters	filter	VERB
brj-23074	109	55	×	×	NOUN
brj-23074	109	56	2	2	NUM
brj-23074	109	57	)	)	PUNCT
brj-23074	109	58	pool_size	pool_size	NOUN
brj-23074	109	59	flatten	flatten	NOUN
brj-23074	109	60	(	(	PUNCT
brj-23074	109	61	(	(	PUNCT
brj-23074	109	62	n_features	n_feature	NOUN
brj-23074	109	63	/	/	SYM
brj-23074	109	64	pool_size	pool_size	PROPN
brj-23074	109	65	)	)	PUNCT
brj-23074	109	66	/	/	SYM
brj-23074	109	67	pool_size	pool_size	NOUN
brj-23074	109	68	)	)	PUNCT
brj-23074	109	69	×	×	NOUN
brj-23074	109	70	(	(	PUNCT
brj-23074	109	71	filters	filter	NOUN
brj-23074	109	72	×	×	NOUN
brj-23074	109	73	2	2	NUM
brj-23074	109	74	)	)	PUNCT
brj-23074	109	75	dense_1	dense_1	VERB
brj-23074	109	76	dense_units	dense_unit	NOUN
brj-23074	109	77	dense_units	dense_unit	NOUN
brj-23074	109	78	dropout_1	dropout_1	ADV
brj-23074	109	79	dense_unit	dense_unit	VERB
brj-23074	109	80	dropout_rate	dropout_rate	ADJ
brj-23074	109	81	dense_2	dense_2	NOUN
brj-23074	109	82	dense_units	dense_unit	NOUN
brj-23074	109	83	/	/	SYM
brj-23074	109	84	2	2	NUM
brj-23074	109	85	dense_units	dense_unit	NOUN
brj-23074	109	86	/	/	SYM
brj-23074	109	87	2	2	NUM
brj-23074	109	88	dropout_2	dropout_2	NOUN
brj-23074	109	89	dense_units	dense_unit	NOUN
brj-23074	109	90	/	/	SYM
brj-23074	109	91	2	2	NUM
brj-23074	109	92	dropout_rate	dropout_rate	ADJ
brj-23074	109	93	notes	note	NOUN
brj-23074	109	94	:	:	PUNCT
brj-23074	109	95	kernel_size	kernel_size	PROPN
brj-23074	109	96	,	,	PUNCT
brj-23074	109	97	the	the	DET
brj-23074	109	98	size	size	NOUN
brj-23074	109	99	of	of	ADP
brj-23074	109	100	the	the	DET
brj-23074	109	101	convolutional	convolutional	ADJ
brj-23074	109	102	kernel	kernel	NOUN
brj-23074	109	103	;	;	PUNCT
brj-23074	109	104	filters	filter	NOUN
brj-23074	109	105	:	:	PUNCT
brj-23074	109	106	the	the	DET
brj-23074	109	107	number	number	NOUN
brj-23074	109	108	of	of	ADP
brj-23074	109	109	filters	filter	NOUN
brj-23074	109	110	applied	apply	VERB
brj-23074	109	111	in	in	ADP
brj-23074	109	112	the	the	DET
brj-23074	109	113	convolutional	convolutional	ADJ
brj-23074	109	114	layers	layer	NOUN
brj-23074	109	115	;	;	PUNCT
brj-23074	109	116	pool_size	pool_size	ADV
brj-23074	109	117	:	:	PUNCT
brj-23074	109	118	the	the	DET
brj-23074	109	119	size	size	NOUN
brj-23074	109	120	of	of	ADP
brj-23074	109	121	the	the	DET
brj-23074	109	122	pooling	pool	VERB
brj-23074	109	123	window	window	NOUN
brj-23074	109	124	in	in	ADP
brj-23074	109	125	max	max	PROPN
brj-23074	109	126	pooling	pool	VERB
brj-23074	109	127	layers	layer	NOUN
brj-23074	109	128	;	;	PUNCT
brj-23074	109	129	dense_units	dense_unit	NOUN
brj-23074	109	130	:	:	PUNCT
brj-23074	109	131	the	the	DET
brj-23074	109	132	number	number	NOUN
brj-23074	109	133	of	of	ADP
brj-23074	109	134	nodes	node	NOUN
brj-23074	109	135	in	in	ADP
brj-23074	109	136	the	the	DET
brj-23074	109	137	dense	dense	ADJ
brj-23074	109	138	layers	layer	NOUN
brj-23074	109	139	;	;	PUNCT
brj-23074	109	140	dropout_rate	dropout_rate	NUM
brj-23074	109	141	:	:	PUNCT
brj-23074	109	142	the	the	DET
brj-23074	109	143	rate	rate	NOUN
brj-23074	109	144	at	at	ADP
brj-23074	109	145	which	which	PRON
brj-23074	109	146	dropout	dropout	NOUN
brj-23074	109	147	is	be	AUX
brj-23074	109	148	applied	apply	VERB
brj-23074	109	149	in	in	ADP
brj-23074	109	150	dropout	dropout	NOUN
brj-23074	109	151	layers	layer	NOUN
brj-23074	109	152	;	;	PUNCT
brj-23074	109	153	learning_rate	learning_rate	NUM
brj-23074	109	154	:	:	PUNCT
brj-23074	109	155	the	the	DET
brj-23074	109	156	learning	learning	NOUN
brj-23074	109	157	rate	rate	NOUN
brj-23074	109	158	used	use	VERB
brj-23074	109	159	in	in	ADP
brj-23074	109	160	the	the	DET
brj-23074	109	161	training	training	NOUN
brj-23074	109	162	;	;	PUNCT
brj-23074	109	163	optimizer	optimizer	NOUN
brj-23074	109	164	:	:	PUNCT
brj-23074	109	165	the	the	DET
brj-23074	109	166	optimization	optimization	NOUN
brj-23074	109	167	algorithm	algorithm	NOUN
brj-23074	109	168	chosen	choose	VERB
brj-23074	109	169	for	for	ADP
brj-23074	109	170	training	train	VERB
brj-23074	109	171	the	the	DET
brj-23074	109	172	model	model	NOUN
brj-23074	109	173	;	;	PUNCT
brj-23074	109	174	sgd	sgd	NOUN
brj-23074	109	175	,	,	PUNCT
brj-23074	109	176	stochastic	stochastic	ADJ
brj-23074	109	177	gradient	gradient	ADJ
brj-23074	109	178	descent	descent	NOUN
brj-23074	109	179	;	;	PUNCT
brj-23074	109	180	adam	adam	PROPN
brj-23074	109	181	,	,	PUNCT
brj-23074	109	182	adaptive	adaptive	ADJ
brj-23074	109	183	moment	moment	NOUN
brj-23074	109	184	estimation	estimation	NOUN
brj-23074	109	185	;	;	PUNCT
brj-23074	109	186	rmsprop	rmsprop	NOUN
brj-23074	109	187	,	,	PUNCT
brj-23074	109	188	root	root	NOUN
brj-23074	109	189	mean	mean	VERB
brj-23074	109	190	squared	square	VERB
brj-23074	109	191	propagation	propagation	NOUN
brj-23074	109	192	;	;	PUNCT
brj-23074	109	193	the	the	DET
brj-23074	109	194	values	value	NOUN
brj-23074	109	195	in	in	ADP
brj-23074	109	196	square	square	ADJ
brj-23074	109	197	brackets	bracket	NOUN
brj-23074	109	198	represent	represent	VERB
brj-23074	109	199	the	the	DET
brj-23074	109	200	values	value	NOUN
brj-23074	109	201	of	of	ADP
brj-23074	109	202	each	each	DET
brj-23074	109	203	hyperparameter	hyperparameter	NOUN
brj-23074	109	204	used	use	VERB
brj-23074	109	205	in	in	ADP
brj-23074	109	206	building	build	VERB
brj-23074	109	207	the	the	DET
brj-23074	109	208	model	model	NOUN
brj-23074	109	209	;	;	PUNCT
brj-23074	109	210	layer	layer	NOUN
brj-23074	109	211	,	,	PUNCT
brj-23074	109	212	the	the	DET
brj-23074	109	213	specific	specific	ADJ
brj-23074	109	214	layer	layer	NOUN
brj-23074	109	215	in	in	ADP
brj-23074	109	216	the	the	DET
brj-23074	109	217	network	network	NOUN
brj-23074	109	218	architecture	architecture	NOUN
brj-23074	109	219	;	;	PUNCT
brj-23074	109	220	layer	layer	NOUN
brj-23074	109	221	shape	shape	NOUN
brj-23074	109	222	,	,	PUNCT
brj-23074	109	223	the	the	DET
brj-23074	109	224	shape	shape	NOUN
brj-23074	109	225	or	or	CCONJ
brj-23074	109	226	dimensions	dimension	NOUN
brj-23074	109	227	of	of	ADP
brj-23074	109	228	the	the	DET
brj-23074	109	229	layer	layer	NOUN
brj-23074	109	230	;	;	PUNCT
brj-23074	109	231	hyperparameters	hyperparameter	NOUN
brj-23074	109	232	,	,	PUNCT
brj-23074	109	233	the	the	DET
brj-23074	109	234	hyperparameters	hyperparameter	NOUN
brj-23074	109	235	applied	apply	VERB
brj-23074	109	236	to	to	ADP
brj-23074	109	237	each	each	DET
brj-23074	109	238	layer	layer	NOUN
brj-23074	109	239	;	;	PUNCT
brj-23074	109	240	conv	conv	ADJ
brj-23074	109	241	,	,	PUNCT
brj-23074	109	242	convolution	convolution	NOUN
brj-23074	109	243	layer	layer	NOUN
brj-23074	109	244	;	;	PUNCT
brj-23074	109	245	max_pool	max_pool	NOUN
brj-23074	109	246	,	,	PUNCT
brj-23074	109	247	maximum	maximum	ADJ
brj-23074	109	248	pooling	pool	VERB
brj-23074	109	249	layer	layer	NOUN
brj-23074	109	250	;	;	PUNCT
brj-23074	109	251	dense	dense	ADJ
brj-23074	109	252	,	,	PUNCT
brj-23074	109	253	dense	dense	ADJ
brj-23074	109	254	layer	layer	NOUN
brj-23074	109	255	;	;	PUNCT
brj-23074	109	256	n_features	n_feature	VERB
brj-23074	109	257	,	,	PUNCT
brj-23074	109	258	the	the	DET
brj-23074	109	259	number	number	NOUN
brj-23074	109	260	of	of	ADP
brj-23074	109	261	data	datum	NOUN
brj-23074	109	262	points	point	NOUN
brj-23074	109	263	comprising	comprise	VERB
brj-23074	109	264	the	the	DET
brj-23074	109	265	input	input	NOUN
brj-23074	109	266	data	datum	NOUN
brj-23074	109	267	.	.	PUNCT
brj-23074	110	1	the	the	DET
brj-23074	110	2	weighted	weight	VERB
brj-23074	110	3	f1	f1	NOUN
brj-23074	110	4	score	score	NOUN
brj-23074	110	5	used	use	VERB
brj-23074	110	6	for	for	ADP
brj-23074	110	7	the	the	DET
brj-23074	110	8	assessment	assessment	NOUN
brj-23074	110	9	of	of	ADP
brj-23074	110	10	1d	1d	NUM
brj-23074	110	11	cnn	cnn	PROPN
brj-23074	110	12	model	model	NOUN
brj-23074	110	13	performance	performance	NOUN
brj-23074	110	14	takes	take	VERB
brj-23074	110	15	into	into	ADP
brj-23074	110	16	account	account	NOUN
brj-23074	110	17	class	class	NOUN
brj-23074	110	18	imbalances	imbalance	NOUN
brj-23074	110	19	by	by	ADP
brj-23074	110	20	calculating	calculate	VERB
brj-23074	110	21	the	the	DET
brj-23074	110	22	weights	weight	NOUN
brj-23074	110	23	for	for	ADP
brj-23074	110	24	each	each	DET
brj-23074	110	25	class	class	NOUN
brj-23074	110	26	(	(	PUNCT
brj-23074	110	27	eq	eq	NOUN
brj-23074	110	28	.	.	NOUN
brj-23074	110	29	5	5	NUM
brj-23074	110	30	)	)	PUNCT
brj-23074	110	31	and	and	CCONJ
brj-23074	110	32	incorporates	incorporate	VERB
brj-23074	110	33	them	they	PRON
brj-23074	110	34	into	into	ADP
brj-23074	110	35	their	their	PRON
brj-23074	110	36	respective	respective	ADJ
brj-23074	110	37	f1	f1	NOUN
brj-23074	110	38	scores	score	NOUN
brj-23074	110	39	(	(	PUNCT
brj-23074	110	40	eq	eq	NOUN
brj-23074	110	41	.	.	PROPN
brj-23074	110	42	6	6	NUM
brj-23074	110	43	)	)	PUNCT
brj-23074	110	44	.	.	PUNCT
brj-23074	111	1	through	through	ADP
brj-23074	111	2	this	this	DET
brj-23074	111	3	process	process	NOUN
brj-23074	111	4	,	,	PUNCT
brj-23074	111	5	the	the	DET
brj-23074	111	6	weighted	weight	VERB
brj-23074	111	7	f1	f1	PROPN
brj-23074	111	8	score	score	NOUN
brj-23074	111	9	assesses	assess	VERB
brj-23074	111	10	individual	individual	ADJ
brj-23074	111	11	classes	class	NOUN
brj-23074	111	12	and	and	CCONJ
brj-23074	111	13	the	the	DET
brj-23074	111	14	overall	overall	ADJ
brj-23074	111	15	model	model	NOUN
brj-23074	111	16	performance	performance	NOUN
brj-23074	111	17	even	even	ADV
brj-23074	111	18	for	for	ADP
brj-23074	111	19	imbalanced	imbalanced	ADJ
brj-23074	111	20	datasets	dataset	NOUN
brj-23074	111	21	.	.	PUNCT
brj-23074	112	1	peer	peer	NOUN
brj-23074	112	2	-	-	PUNCT
brj-23074	112	3	reviewed	review	VERB
brj-23074	112	4	article	article	NOUN
brj-23074	112	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	112	6	hwang	hwang	PROPN
brj-23074	112	7	et	et	PROPN
brj-23074	112	8	al	al	PROPN
brj-23074	112	9	.	.	PROPN
brj-23074	112	10	(	(	PUNCT
brj-23074	112	11	2024	2024	NUM
brj-23074	112	12	)	)	PUNCT
brj-23074	112	13	.	.	PUNCT
brj-23074	113	1	“	"	PUNCT
brj-23074	113	2	nir	nir	X
brj-23074	113	3	for	for	ADP
brj-23074	113	4	paper	paper	NOUN
brj-23074	113	5	classification	classification	NOUN
brj-23074	113	6	,	,	PUNCT
brj-23074	113	7	”	"	PUNCT
brj-23074	113	8	bioresources	bioresource	NOUN
brj-23074	113	9	19(1	19(1	NUM
brj-23074	113	10	)	)	PUNCT
brj-23074	113	11	,	,	PUNCT
brj-23074	113	12	1633	1633	NUM
brj-23074	113	13	-	-	SYM
brj-23074	113	14	1651	1651	NUM
brj-23074	113	15	.	.	PUNCT
brj-23074	114	1	1639	1639	NUM
brj-23074	114	2	𝑤𝑖	𝑤𝑖	ADP
brj-23074	115	1	=	=	PUNCT
brj-23074	115	2	𝑁𝑖	𝑁𝑖	PROPN
brj-23074	115	3	𝑇𝑖	𝑇𝑖	PROPN
brj-23074	115	4	(	(	PUNCT
brj-23074	115	5	5	5	NUM
brj-23074	115	6	)	)	PUNCT
brj-23074	115	7	where	where	SCONJ
brj-23074	115	8	wi	wi	PROPN
brj-23074	115	9	is	be	AUX
brj-23074	115	10	the	the	DET
brj-23074	115	11	weight	weight	NOUN
brj-23074	115	12	of	of	ADP
brj-23074	115	13	class	class	NOUN
brj-23074	115	14	i	i	PRON
brj-23074	115	15	;	;	PUNCT
brj-23074	115	16	ni	ni	PROPN
brj-23074	115	17	is	be	AUX
brj-23074	115	18	the	the	DET
brj-23074	115	19	number	number	NOUN
brj-23074	115	20	of	of	ADP
brj-23074	115	21	samples	sample	NOUN
brj-23074	115	22	in	in	ADP
brj-23074	115	23	class	class	NOUN
brj-23074	115	24	i	i	PRON
brj-23074	115	25	;	;	PUNCT
brj-23074	115	26	and	and	CCONJ
brj-23074	115	27	ti	ti	NOUN
brj-23074	115	28	is	be	AUX
brj-23074	115	29	the	the	DET
brj-23074	115	30	total	total	ADJ
brj-23074	115	31	number	number	NOUN
brj-23074	115	32	of	of	ADP
brj-23074	115	33	samples	sample	NOUN
brj-23074	115	34	.	.	PUNCT
brj-23074	116	1	weighted	weight	VERB
brj-23074	116	2	f1𝑖	f1𝑖	PROPN
brj-23074	116	3	=	=	PUNCT
brj-23074	116	4	∑	∑	PUNCT
brj-23074	116	5	w𝑖	w𝑖	ADP
brj-23074	116	6	𝑁	𝑁	PROPN
brj-23074	116	7	𝑖	𝑖	NOUN
brj-23074	116	8	=	=	SYM
brj-23074	116	9	1	1	NUM
brj-23074	116	10	×	×	PROPN
brj-23074	116	11	f1𝑖	f1𝑖	PROPN
brj-23074	116	12	(	(	PUNCT
brj-23074	116	13	6	6	NUM
brj-23074	116	14	)	)	PUNCT
brj-23074	116	15	data	datum	NOUN
brj-23074	116	16	point	point	NOUN
brj-23074	116	17	attribution	attribution	NOUN
brj-23074	116	18	to	to	PART
brj-23074	116	19	assess	assess	VERB
brj-23074	116	20	the	the	DET
brj-23074	116	21	effect	effect	NOUN
brj-23074	116	22	of	of	ADP
brj-23074	116	23	individual	individual	ADJ
brj-23074	116	24	data	datum	NOUN
brj-23074	116	25	points	point	NOUN
brj-23074	116	26	within	within	ADP
brj-23074	116	27	the	the	DET
brj-23074	116	28	given	give	VERB
brj-23074	116	29	input	input	NOUN
brj-23074	116	30	ir	ir	PROPN
brj-23074	116	31	data	datum	NOUN
brj-23074	116	32	on	on	ADP
brj-23074	116	33	the	the	DET
brj-23074	116	34	predictions	prediction	NOUN
brj-23074	116	35	of	of	ADP
brj-23074	116	36	the	the	DET
brj-23074	116	37	1d	1d	NUM
brj-23074	116	38	cnn	cnn	NOUN
brj-23074	116	39	models	model	NOUN
brj-23074	116	40	,	,	PUNCT
brj-23074	116	41	the	the	DET
brj-23074	116	42	gradient	gradient	NOUN
brj-23074	116	43	-	-	PUNCT
brj-23074	116	44	weighted	weight	VERB
brj-23074	116	45	activation	activation	NOUN
brj-23074	116	46	mapping	mapping	NOUN
brj-23074	116	47	(	(	PUNCT
brj-23074	116	48	gradcam	gradcam	PROPN
brj-23074	116	49	)	)	PUNCT
brj-23074	116	50	method	method	NOUN
brj-23074	116	51	was	be	AUX
brj-23074	116	52	used	use	VERB
brj-23074	116	53	for	for	ADP
brj-23074	116	54	data	datum	NOUN
brj-23074	116	55	point	point	NOUN
brj-23074	116	56	attribution	attribution	NOUN
brj-23074	116	57	.	.	PUNCT
brj-23074	117	1	data	datum	NOUN
brj-23074	117	2	point	point	NOUN
brj-23074	117	3	attribution	attribution	NOUN
brj-23074	117	4	is	be	AUX
brj-23074	117	5	a	a	DET
brj-23074	117	6	fundamental	fundamental	ADJ
brj-23074	117	7	tool	tool	NOUN
brj-23074	117	8	for	for	ADP
brj-23074	117	9	interpreting	interpret	VERB
brj-23074	117	10	model	model	NOUN
brj-23074	117	11	predictions	prediction	NOUN
brj-23074	117	12	by	by	ADP
brj-23074	117	13	tracing	trace	VERB
brj-23074	117	14	back	back	ADP
brj-23074	117	15	the	the	DET
brj-23074	117	16	output	output	NOUN
brj-23074	117	17	of	of	ADP
brj-23074	117	18	the	the	DET
brj-23074	117	19	model	model	NOUN
brj-23074	117	20	.	.	PUNCT
brj-23074	118	1	data	datum	NOUN
brj-23074	118	2	point	point	NOUN
brj-23074	118	3	attribution	attribution	NOUN
brj-23074	118	4	involves	involve	VERB
brj-23074	118	5	computing	compute	VERB
brj-23074	118	6	the	the	DET
brj-23074	118	7	gradient	gradient	NOUN
brj-23074	118	8	of	of	ADP
brj-23074	118	9	the	the	DET
brj-23074	118	10	loss	loss	NOUN
brj-23074	118	11	function	function	NOUN
brj-23074	118	12	to	to	PART
brj-23074	118	13	understand	understand	VERB
brj-23074	118	14	its	its	PRON
brj-23074	118	15	sensitivity	sensitivity	NOUN
brj-23074	118	16	to	to	ADP
brj-23074	118	17	each	each	DET
brj-23074	118	18	parameter	parameter	NOUN
brj-23074	118	19	and	and	CCONJ
brj-23074	118	20	input	input	NOUN
brj-23074	118	21	data	datum	NOUN
brj-23074	118	22	point	point	NOUN
brj-23074	118	23	.	.	PUNCT
brj-23074	119	1	the	the	DET
brj-23074	119	2	gradient	gradient	ADJ
brj-23074	119	3	value	value	NOUN
brj-23074	119	4	indicates	indicate	VERB
brj-23074	119	5	the	the	DET
brj-23074	119	6	extent	extent	NOUN
brj-23074	119	7	to	to	PART
brj-23074	119	8	which	which	PRON
brj-23074	119	9	a	a	DET
brj-23074	119	10	given	give	VERB
brj-23074	119	11	data	data	NOUN
brj-23074	119	12	point	point	NOUN
brj-23074	119	13	affects	affect	VERB
brj-23074	119	14	the	the	DET
brj-23074	119	15	loss	loss	NOUN
brj-23074	119	16	function	function	NOUN
brj-23074	119	17	,	,	PUNCT
brj-23074	119	18	with	with	ADP
brj-23074	119	19	a	a	DET
brj-23074	119	20	higher	high	ADJ
brj-23074	119	21	absolute	absolute	ADJ
brj-23074	119	22	gradient	gradient	NOUN
brj-23074	119	23	value	value	NOUN
brj-23074	119	24	signifying	signify	VERB
brj-23074	119	25	a	a	DET
brj-23074	119	26	substantial	substantial	ADJ
brj-23074	119	27	effect	effect	NOUN
brj-23074	119	28	of	of	ADP
brj-23074	119	29	that	that	DET
brj-23074	119	30	data	datum	NOUN
brj-23074	119	31	point	point	NOUN
brj-23074	119	32	on	on	ADP
brj-23074	119	33	the	the	DET
brj-23074	119	34	output	output	NOUN
brj-23074	119	35	of	of	ADP
brj-23074	119	36	the	the	DET
brj-23074	119	37	model	model	NOUN
brj-23074	119	38	.	.	PUNCT
brj-23074	120	1	the	the	DET
brj-23074	120	2	results	result	NOUN
brj-23074	120	3	of	of	ADP
brj-23074	120	4	data	datum	NOUN
brj-23074	120	5	point	point	NOUN
brj-23074	120	6	attribution	attribution	NOUN
brj-23074	120	7	were	be	AUX
brj-23074	120	8	visualized	visualize	VERB
brj-23074	120	9	alongside	alongside	ADP
brj-23074	120	10	the	the	DET
brj-23074	120	11	ir	ir	PROPN
brj-23074	120	12	spectra	spectra	NOUN
brj-23074	120	13	to	to	PART
brj-23074	120	14	quantitatively	quantitatively	ADV
brj-23074	120	15	determine	determine	VERB
brj-23074	120	16	the	the	DET
brj-23074	120	17	importance	importance	NOUN
brj-23074	120	18	of	of	ADP
brj-23074	120	19	each	each	DET
brj-23074	120	20	data	datum	NOUN
brj-23074	120	21	point	point	NOUN
brj-23074	120	22	and	and	CCONJ
brj-23074	120	23	facilitate	facilitate	VERB
brj-23074	120	24	model	model	NOUN
brj-23074	120	25	interpretation	interpretation	NOUN
brj-23074	120	26	.	.	PUNCT
brj-23074	121	1	prediction	prediction	NOUN
brj-23074	121	2	of	of	ADP
brj-23074	121	3	unknown	unknown	ADJ
brj-23074	121	4	products	product	NOUN
brj-23074	121	5	three	three	NUM
brj-23074	121	6	products	product	NOUN
brj-23074	121	7	with	with	ADP
brj-23074	121	8	unknown	unknown	ADJ
brj-23074	121	9	manufacturing	manufacturing	NOUN
brj-23074	121	10	information	information	NOUN
brj-23074	121	11	were	be	AUX
brj-23074	121	12	used	use	VERB
brj-23074	121	13	to	to	PART
brj-23074	121	14	predict	predict	VERB
brj-23074	121	15	their	their	PRON
brj-23074	121	16	origins	origin	NOUN
brj-23074	121	17	using	use	VERB
brj-23074	121	18	the	the	DET
brj-23074	121	19	developed	develop	VERB
brj-23074	121	20	models	model	NOUN
brj-23074	121	21	.	.	PUNCT
brj-23074	122	1	the	the	DET
brj-23074	122	2	pca	pca	PROPN
brj-23074	122	3	was	be	AUX
brj-23074	122	4	performed	perform	VERB
brj-23074	122	5	on	on	ADP
brj-23074	122	6	their	their	PRON
brj-23074	122	7	ir	ir	PROPN
brj-23074	122	8	spectra	spectra	NOUN
brj-23074	122	9	to	to	PART
brj-23074	122	10	analyze	analyze	VERB
brj-23074	122	11	their	their	PRON
brj-23074	122	12	relationships	relationship	NOUN
brj-23074	122	13	with	with	ADP
brj-23074	122	14	existing	exist	VERB
brj-23074	122	15	data	datum	NOUN
brj-23074	122	16	.	.	PUNCT
brj-23074	123	1	subsequently	subsequently	ADV
brj-23074	123	2	,	,	PUNCT
brj-23074	123	3	they	they	PRON
brj-23074	123	4	were	be	AUX
brj-23074	123	5	input	input	VERB
brj-23074	123	6	into	into	ADP
brj-23074	123	7	the	the	DET
brj-23074	123	8	established	establish	VERB
brj-23074	123	9	1d	1d	NUM
brj-23074	123	10	cnn	cnn	NOUN
brj-23074	123	11	models	model	NOUN
brj-23074	123	12	to	to	PART
brj-23074	123	13	calculate	calculate	VERB
brj-23074	123	14	the	the	DET
brj-23074	123	15	prediction	prediction	NOUN
brj-23074	123	16	probabilities	probability	NOUN
brj-23074	123	17	for	for	ADP
brj-23074	123	18	each	each	DET
brj-23074	123	19	class	class	NOUN
brj-23074	123	20	(	(	PUNCT
brj-23074	123	21	fig	fig	NOUN
brj-23074	123	22	.	.	PUNCT
brj-23074	123	23	1	1	NUM
brj-23074	123	24	)	)	PUNCT
brj-23074	123	25	.	.	PUNCT
brj-23074	124	1	when	when	SCONJ
brj-23074	124	2	inputting	inputte	VERB
brj-23074	124	3	the	the	DET
brj-23074	124	4	unknown	unknown	ADJ
brj-23074	124	5	products	product	NOUN
brj-23074	124	6	into	into	ADP
brj-23074	124	7	the	the	DET
brj-23074	124	8	1d	1d	NUM
brj-23074	124	9	cnn	cnn	PROPN
brj-23074	124	10	model	model	NOUN
brj-23074	124	11	,	,	PUNCT
brj-23074	124	12	the	the	DET
brj-23074	124	13	ir	ir	PROPN
brj-23074	124	14	spectra	spectra	PROPN
brj-23074	124	15	were	be	AUX
brj-23074	124	16	preprocessed	preprocesse	VERB
brj-23074	124	17	in	in	ADP
brj-23074	124	18	the	the	DET
brj-23074	124	19	same	same	ADJ
brj-23074	124	20	way	way	NOUN
brj-23074	124	21	as	as	ADP
brj-23074	124	22	those	those	PRON
brj-23074	124	23	used	use	VERB
brj-23074	124	24	in	in	ADP
brj-23074	124	25	model	model	NOUN
brj-23074	124	26	construction	construction	NOUN
brj-23074	124	27	.	.	PUNCT
brj-23074	125	1	model	model	PROPN
brj-23074	125	2	comparison	comparison	NOUN
brj-23074	125	3	the	the	DET
brj-23074	125	4	classification	classification	NOUN
brj-23074	125	5	performance	performance	NOUN
brj-23074	125	6	of	of	ADP
brj-23074	125	7	the	the	DET
brj-23074	125	8	constructed	construct	VERB
brj-23074	125	9	1d	1d	NUM
brj-23074	125	10	cnn	cnn	NOUN
brj-23074	125	11	models	model	NOUN
brj-23074	125	12	was	be	AUX
brj-23074	125	13	compared	compare	VERB
brj-23074	125	14	with	with	ADP
brj-23074	125	15	those	those	PRON
brj-23074	125	16	of	of	ADP
brj-23074	125	17	conventional	conventional	ADJ
brj-23074	125	18	machine	machine	NOUN
brj-23074	125	19	learning	learn	VERB
brj-23074	125	20	classifiers	classifier	NOUN
brj-23074	125	21	:	:	PUNCT
brj-23074	125	22	feed	feed	NOUN
brj-23074	125	23	-	-	PUNCT
brj-23074	125	24	forward	forward	ADV
brj-23074	125	25	neural	neural	ADJ
brj-23074	125	26	network	network	NOUN
brj-23074	125	27	(	(	PUNCT
brj-23074	125	28	fnn	fnn	PROPN
brj-23074	125	29	)	)	PUNCT
brj-23074	125	30	and	and	CCONJ
brj-23074	125	31	support	support	VERB
brj-23074	125	32	vector	vector	NOUN
brj-23074	125	33	machine	machine	NOUN
brj-23074	125	34	(	(	PUNCT
brj-23074	125	35	svm	svm	PROPN
brj-23074	125	36	)	)	PUNCT
brj-23074	125	37	.	.	PUNCT
brj-23074	126	1	they	they	PRON
brj-23074	126	2	were	be	AUX
brj-23074	126	3	trained	train	VERB
brj-23074	126	4	on	on	ADP
brj-23074	126	5	the	the	DET
brj-23074	126	6	same	same	ADJ
brj-23074	126	7	four	four	NUM
brj-23074	126	8	datasets	dataset	NOUN
brj-23074	126	9	used	use	VERB
brj-23074	126	10	to	to	PART
brj-23074	126	11	establish	establish	VERB
brj-23074	126	12	the	the	DET
brj-23074	126	13	1d	1d	NUM
brj-23074	126	14	cnn	cnn	NOUN
brj-23074	126	15	models	model	NOUN
brj-23074	126	16	,	,	PUNCT
brj-23074	126	17	thus	thus	ADV
brj-23074	126	18	constructing	construct	VERB
brj-23074	126	19	their	their	PRON
brj-23074	126	20	respective	respective	ADJ
brj-23074	126	21	classification	classification	NOUN
brj-23074	126	22	models	model	NOUN
brj-23074	126	23	.	.	PUNCT
brj-23074	127	1	fnn	fnn	NOUN
brj-23074	127	2	the	the	DET
brj-23074	127	3	fnn	fnn	NOUN
brj-23074	127	4	with	with	ADP
brj-23074	127	5	a	a	DET
brj-23074	127	6	backpropagation	backpropagation	NOUN
brj-23074	127	7	algorithm	algorithm	NOUN
brj-23074	127	8	was	be	AUX
brj-23074	127	9	used	use	VERB
brj-23074	127	10	as	as	ADP
brj-23074	127	11	a	a	DET
brj-23074	127	12	benchmark	benchmark	NOUN
brj-23074	127	13	method	method	NOUN
brj-23074	127	14	for	for	ADP
brj-23074	127	15	the	the	DET
brj-23074	127	16	1d	1d	NUM
brj-23074	127	17	cnn	cnn	NOUN
brj-23074	127	18	.	.	PUNCT
brj-23074	128	1	when	when	SCONJ
brj-23074	128	2	constructing	construct	VERB
brj-23074	128	3	the	the	DET
brj-23074	128	4	models	model	NOUN
brj-23074	128	5	,	,	PUNCT
brj-23074	128	6	relu	relu	NOUN
brj-23074	128	7	was	be	AUX
brj-23074	128	8	adopted	adopt	VERB
brj-23074	128	9	as	as	SCONJ
brj-23074	128	10	the	the	DET
brj-23074	128	11	activation	activation	NOUN
brj-23074	128	12	function	function	NOUN
brj-23074	128	13	and	and	CCONJ
brj-23074	128	14	crossentropy	crossentropy	NOUN
brj-23074	128	15	was	be	AUX
brj-23074	128	16	used	use	VERB
brj-23074	128	17	as	as	ADP
brj-23074	128	18	the	the	DET
brj-23074	128	19	loss	loss	NOUN
brj-23074	128	20	function	function	NOUN
brj-23074	128	21	.	.	PUNCT
brj-23074	129	1	stochastic	stochastic	ADJ
brj-23074	129	2	gradient	gradient	ADJ
brj-23074	129	3	descent	descent	NOUN
brj-23074	129	4	and	and	CCONJ
brj-23074	129	5	adaptive	adaptive	ADJ
brj-23074	129	6	moment	moment	NOUN
brj-23074	129	7	estimation	estimation	NOUN
brj-23074	129	8	(	(	PUNCT
brj-23074	129	9	adam	adam	PROPN
brj-23074	129	10	)	)	PUNCT
brj-23074	129	11	were	be	AUX
brj-23074	129	12	used	use	VERB
brj-23074	129	13	to	to	PART
brj-23074	129	14	optimize	optimize	VERB
brj-23074	129	15	the	the	DET
brj-23074	129	16	loss	loss	NOUN
brj-23074	129	17	function	function	NOUN
brj-23074	129	18	.	.	PUNCT
brj-23074	130	1	the	the	DET
brj-23074	130	2	initial	initial	ADJ
brj-23074	130	3	learning	learning	NOUN
brj-23074	130	4	rate	rate	NOUN
brj-23074	130	5	ranged	range	VERB
brj-23074	130	6	from	from	ADP
brj-23074	130	7	0.0001	0.0001	NUM
brj-23074	130	8	to	to	ADP
brj-23074	130	9	0.1	0.1	NUM
brj-23074	130	10	,	,	PUNCT
brj-23074	130	11	with	with	ADP
brj-23074	130	12	a	a	DET
brj-23074	130	13	maximum	maximum	NOUN
brj-23074	130	14	of	of	ADP
brj-23074	130	15	1000	1000	NUM
brj-23074	130	16	iterations	iteration	NOUN
brj-23074	130	17	.	.	PUNCT
brj-23074	131	1	the	the	DET
brj-23074	131	2	fnn	fnn	NOUN
brj-23074	131	3	architecture	architecture	NOUN
brj-23074	131	4	was	be	AUX
brj-23074	131	5	configured	configure	VERB
brj-23074	131	6	with	with	ADP
brj-23074	131	7	either	either	PRON
brj-23074	131	8	one	one	NUM
brj-23074	131	9	or	or	CCONJ
brj-23074	131	10	two	two	NUM
brj-23074	131	11	hidden	hidden	ADJ
brj-23074	131	12	layers	layer	NOUN
brj-23074	131	13	,	,	PUNCT
brj-23074	131	14	each	each	PRON
brj-23074	131	15	containing	contain	VERB
brj-23074	131	16	12	12	NUM
brj-23074	131	17	,	,	PUNCT
brj-23074	131	18	256	256	NUM
brj-23074	131	19	,	,	PUNCT
brj-23074	131	20	or	or	CCONJ
brj-23074	131	21	512	512	NUM
brj-23074	131	22	nodes	node	NOUN
brj-23074	131	23	.	.	PUNCT
brj-23074	132	1	a	a	DET
brj-23074	132	2	grid	grid	NOUN
brj-23074	132	3	search	search	NOUN
brj-23074	132	4	was	be	AUX
brj-23074	132	5	conducted	conduct	VERB
brj-23074	132	6	to	to	PART
brj-23074	132	7	determine	determine	VERB
brj-23074	132	8	the	the	DET
brj-23074	132	9	optimal	optimal	ADJ
brj-23074	132	10	parameters	parameter	NOUN
brj-23074	132	11	and	and	CCONJ
brj-23074	132	12	network	network	NOUN
brj-23074	132	13	structure	structure	NOUN
brj-23074	132	14	for	for	ADP
brj-23074	132	15	the	the	DET
brj-23074	132	16	fnn	fnn	PROPN
brj-23074	132	17	models	model	NOUN
brj-23074	132	18	.	.	PUNCT
brj-23074	133	1	peer	peer	NOUN
brj-23074	133	2	-	-	PUNCT
brj-23074	133	3	reviewed	review	VERB
brj-23074	133	4	article	article	NOUN
brj-23074	133	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	133	6	hwang	hwang	PROPN
brj-23074	133	7	et	et	PROPN
brj-23074	133	8	al	al	PROPN
brj-23074	133	9	.	.	PROPN
brj-23074	133	10	(	(	PUNCT
brj-23074	133	11	2024	2024	NUM
brj-23074	133	12	)	)	PUNCT
brj-23074	133	13	.	.	PUNCT
brj-23074	134	1	“	"	PUNCT
brj-23074	134	2	nir	nir	X
brj-23074	134	3	for	for	ADP
brj-23074	134	4	paper	paper	NOUN
brj-23074	134	5	classification	classification	NOUN
brj-23074	134	6	,	,	PUNCT
brj-23074	134	7	”	"	PUNCT
brj-23074	134	8	bioresources	bioresource	NOUN
brj-23074	134	9	19(1	19(1	NUM
brj-23074	134	10	)	)	PUNCT
brj-23074	134	11	,	,	PUNCT
brj-23074	134	12	1633	1633	NUM
brj-23074	134	13	-	-	SYM
brj-23074	134	14	1651	1651	NUM
brj-23074	134	15	.	.	PUNCT
brj-23074	135	1	1640	1640	NUM
brj-23074	135	2	svm	svm	PROPN
brj-23074	135	3	to	to	PART
brj-23074	135	4	facilitate	facilitate	VERB
brj-23074	135	5	performance	performance	NOUN
brj-23074	135	6	comparison	comparison	NOUN
brj-23074	135	7	,	,	PUNCT
brj-23074	135	8	svm	svm	ADJ
brj-23074	135	9	models	model	NOUN
brj-23074	135	10	were	be	AUX
brj-23074	135	11	constructed	construct	VERB
brj-23074	135	12	using	use	VERB
brj-23074	135	13	the	the	DET
brj-23074	135	14	radial	radial	ADJ
brj-23074	135	15	basis	basis	NOUN
brj-23074	135	16	function	function	NOUN
brj-23074	135	17	kernel	kernel	NOUN
brj-23074	135	18	(	(	PUNCT
brj-23074	135	19	vert	vert	NOUN
brj-23074	135	20	et	et	PROPN
brj-23074	135	21	al	al	PROPN
brj-23074	135	22	.	.	PROPN
brj-23074	135	23	2004	2004	NUM
brj-23074	135	24	)	)	PUNCT
brj-23074	135	25	,	,	PUNCT
brj-23074	135	26	a	a	DET
brj-23074	135	27	technique	technique	NOUN
brj-23074	135	28	that	that	PRON
brj-23074	135	29	projects	project	VERB
brj-23074	135	30	data	datum	NOUN
brj-23074	135	31	into	into	ADP
brj-23074	135	32	a	a	DET
brj-23074	135	33	highdimensional	highdimensional	ADJ
brj-23074	135	34	space	space	NOUN
brj-23074	135	35	to	to	PART
brj-23074	135	36	determine	determine	VERB
brj-23074	135	37	hyperplanes	hyperplane	NOUN
brj-23074	135	38	.	.	PUNCT
brj-23074	136	1	during	during	ADP
brj-23074	136	2	model	model	NOUN
brj-23074	136	3	construction	construction	NOUN
brj-23074	136	4	,	,	PUNCT
brj-23074	136	5	the	the	DET
brj-23074	136	6	parameter	parameter	NOUN
brj-23074	136	7	cost	cost	NOUN
brj-23074	136	8	,	,	PUNCT
brj-23074	136	9	responsible	responsible	ADJ
brj-23074	136	10	for	for	ADP
brj-23074	136	11	regulating	regulate	VERB
brj-23074	136	12	the	the	DET
brj-23074	136	13	misclassification	misclassification	NOUN
brj-23074	136	14	cost	cost	NOUN
brj-23074	136	15	of	of	ADP
brj-23074	136	16	the	the	DET
brj-23074	136	17	training	training	NOUN
brj-23074	136	18	data	datum	NOUN
brj-23074	136	19	,	,	PUNCT
brj-23074	136	20	was	be	AUX
brj-23074	136	21	set	set	VERB
brj-23074	136	22	in	in	ADP
brj-23074	136	23	the	the	DET
brj-23074	136	24	range	range	NOUN
brj-23074	136	25	of	of	ADP
brj-23074	136	26	100	100	NUM
brj-23074	136	27	to	to	PART
brj-23074	136	28	105	105	NUM
brj-23074	136	29	.	.	PUNCT
brj-23074	137	1	in	in	ADP
brj-23074	137	2	addition	addition	NOUN
brj-23074	137	3	,	,	PUNCT
brj-23074	137	4	the	the	DET
brj-23074	137	5	parameter	parameter	NOUN
brj-23074	137	6	gamma	gamma	NOUN
brj-23074	137	7	,	,	PUNCT
brj-23074	137	8	which	which	PRON
brj-23074	137	9	governs	govern	VERB
brj-23074	137	10	the	the	DET
brj-23074	137	11	gaussian	gaussian	ADJ
brj-23074	137	12	kernel	kernel	NOUN
brj-23074	137	13	used	use	VERB
brj-23074	137	14	for	for	ADP
brj-23074	137	15	nonlinear	nonlinear	ADJ
brj-23074	137	16	classification	classification	NOUN
brj-23074	137	17	,	,	PUNCT
brj-23074	137	18	was	be	AUX
brj-23074	137	19	configured	configure	VERB
brj-23074	137	20	within	within	ADP
brj-23074	137	21	the	the	DET
brj-23074	137	22	range	range	NOUN
brj-23074	137	23	of	of	ADP
brj-23074	137	24	10−1	10−1	NUM
brj-23074	137	25	to	to	ADP
brj-23074	137	26	10−6	10−6	NUM
brj-23074	137	27	.	.	PUNCT
brj-23074	138	1	these	these	DET
brj-23074	138	2	parameters	parameter	NOUN
brj-23074	138	3	were	be	AUX
brj-23074	138	4	optimized	optimize	VERB
brj-23074	138	5	via	via	ADP
brj-23074	138	6	a	a	DET
brj-23074	138	7	grid	grid	NOUN
brj-23074	138	8	search	search	NOUN
brj-23074	138	9	.	.	PUNCT
brj-23074	139	1	results	result	NOUN
brj-23074	139	2	and	and	CCONJ
brj-23074	139	3	discussion	discussion	NOUN
brj-23074	139	4	ir	ir	PROPN
brj-23074	139	5	spectral	spectral	ADJ
brj-23074	139	6	characteristics	characteristic	NOUN
brj-23074	139	7	of	of	ADP
brj-23074	139	8	printing	printing	NOUN
brj-23074	139	9	paper	paper	NOUN
brj-23074	139	10	the	the	DET
brj-23074	139	11	ir	ir	PROPN
brj-23074	139	12	spectrum	spectrum	PROPN
brj-23074	139	13	contains	contain	VERB
brj-23074	139	14	valuable	valuable	ADJ
brj-23074	139	15	information	information	NOUN
brj-23074	139	16	for	for	ADP
brj-23074	139	17	capturing	capture	VERB
brj-23074	139	18	and	and	CCONJ
brj-23074	139	19	interpreting	interpret	VERB
brj-23074	139	20	the	the	DET
brj-23074	139	21	characteristics	characteristic	NOUN
brj-23074	139	22	of	of	ADP
brj-23074	139	23	paper	paper	NOUN
brj-23074	139	24	.	.	PUNCT
brj-23074	140	1	figure	figure	VERB
brj-23074	140	2	3	3	NUM
brj-23074	140	3	presents	present	VERB
brj-23074	140	4	the	the	DET
brj-23074	140	5	ir	ir	PROPN
brj-23074	140	6	spectra	spectra	NOUN
brj-23074	140	7	of	of	ADP
brj-23074	140	8	select	select	ADJ
brj-23074	140	9	samples	sample	NOUN
brj-23074	140	10	from	from	ADP
brj-23074	140	11	the	the	DET
brj-23074	140	12	four	four	NUM
brj-23074	140	13	datasets	dataset	NOUN
brj-23074	140	14	.	.	PUNCT
brj-23074	141	1	in	in	ADP
brj-23074	141	2	the	the	DET
brj-23074	141	3	original	original	ADJ
brj-23074	141	4	ir	ir	PROPN
brj-23074	141	5	spectra	spectra	NOUN
brj-23074	141	6	(	(	PUNCT
brj-23074	141	7	fig	fig	NOUN
brj-23074	141	8	.	.	PUNCT
brj-23074	141	9	3a	3a	NUM
brj-23074	141	10	and	and	CCONJ
brj-23074	141	11	3b	3b	NUM
brj-23074	141	12	)	)	PUNCT
brj-23074	141	13	,	,	PUNCT
brj-23074	141	14	distinct	distinct	ADJ
brj-23074	141	15	peaks	peak	NOUN
brj-23074	141	16	at	at	ADP
brj-23074	141	17	3600	3600	NUM
brj-23074	141	18	to	to	ADP
brj-23074	141	19	3000	3000	NUM
brj-23074	141	20	cm−1	cm−1	NOUN
brj-23074	141	21	were	be	AUX
brj-23074	141	22	assigned	assign	VERB
brj-23074	141	23	to	to	ADP
brj-23074	141	24	oh	oh	NUM
brj-23074	141	25	groups	group	NOUN
brj-23074	141	26	(	(	PUNCT
brj-23074	141	27	hofstetter	hofstetter	NOUN
brj-23074	141	28	et	et	PROPN
brj-23074	141	29	al	al	PROPN
brj-23074	141	30	.	.	PROPN
brj-23074	141	31	2006	2006	NUM
brj-23074	141	32	)	)	PUNCT
brj-23074	141	33	,	,	PUNCT
brj-23074	141	34	peaks	peak	NOUN
brj-23074	141	35	at	at	ADP
brj-23074	141	36	2890	2890	NUM
brj-23074	141	37	to	to	ADP
brj-23074	141	38	2780	2780	NUM
brj-23074	141	39	cm−1	cm−1	NOUN
brj-23074	141	40	to	to	ADP
brj-23074	141	41	ch	ch	NOUN
brj-23074	141	42	stretching	stretching	NOUN
brj-23074	141	43	(	(	PUNCT
brj-23074	141	44	xiao	xiao	PROPN
brj-23074	141	45	et	et	PROPN
brj-23074	141	46	al	al	PROPN
brj-23074	141	47	.	.	PROPN
brj-23074	141	48	2015	2015	NUM
brj-23074	141	49	)	)	PUNCT
brj-23074	141	50	,	,	PUNCT
brj-23074	141	51	at	at	ADP
brj-23074	141	52	1647	1647	NUM
brj-23074	141	53	to	to	ADP
brj-23074	141	54	1635	1635	NUM
brj-23074	141	55	cm−1	cm−1	NOUN
brj-23074	141	56	to	to	ADP
brj-23074	141	57	adsorbed	adsorb	VERB
brj-23074	141	58	water	water	NOUN
brj-23074	141	59	(	(	PUNCT
brj-23074	141	60	olsson	olsson	NOUN
brj-23074	141	61	and	and	CCONJ
brj-23074	141	62	salmén	salmén	NOUN
brj-23074	141	63	2004	2004	NUM
brj-23074	141	64	)	)	PUNCT
brj-23074	141	65	,	,	PUNCT
brj-23074	141	66	at	at	ADP
brj-23074	141	67	1430	1430	NUM
brj-23074	141	68	to	to	ADP
brj-23074	141	69	1416	1416	NUM
brj-23074	141	70	cm−1	cm−1	NOUN
brj-23074	141	71	to	to	ADP
brj-23074	141	72	the	the	DET
brj-23074	141	73	ch2	ch2	NOUN
brj-23074	141	74	bending	bending	NOUN
brj-23074	141	75	of	of	ADP
brj-23074	141	76	crystalline	crystalline	NOUN
brj-23074	141	77	cellulose	cellulose	NOUN
brj-23074	141	78	(	(	PUNCT
brj-23074	141	79	schwanninger	schwanninger	PROPN
brj-23074	141	80	et	et	PROPN
brj-23074	141	81	al	al	PROPN
brj-23074	141	82	.	.	PROPN
brj-23074	141	83	2004	2004	NUM
brj-23074	141	84	;	;	PUNCT
brj-23074	141	85	delmotte	delmotte	NOUN
brj-23074	141	86	et	et	PROPN
brj-23074	141	87	al	al	PROPN
brj-23074	141	88	.	.	PROPN
brj-23074	141	89	2008	2008	NUM
brj-23074	141	90	)	)	PUNCT
brj-23074	141	91	,	,	PUNCT
brj-23074	141	92	and	and	CCONJ
brj-23074	141	93	at	at	ADP
brj-23074	141	94	1200	1200	NUM
brj-23074	141	95	to	to	ADP
brj-23074	141	96	900	900	NUM
brj-23074	141	97	cm−1	cm−1	NOUN
brj-23074	141	98	to	to	ADP
brj-23074	141	99	the	the	DET
brj-23074	141	100	fingerprint	fingerprint	NOUN
brj-23074	141	101	peaks	peak	NOUN
brj-23074	141	102	of	of	ADP
brj-23074	141	103	cellulose	cellulose	NOUN
brj-23074	141	104	(	(	PUNCT
brj-23074	141	105	garside	garside	NOUN
brj-23074	141	106	and	and	CCONJ
brj-23074	141	107	wyeth	wyeth	PROPN
brj-23074	141	108	2003	2003	NUM
brj-23074	141	109	)	)	PUNCT
brj-23074	141	110	.	.	PUNCT
brj-23074	142	1	fig	fig	NOUN
brj-23074	142	2	.	.	PUNCT
brj-23074	143	1	3	3	X
brj-23074	143	2	.	.	X
brj-23074	143	3	entire	entire	ADJ
brj-23074	143	4	ir	ir	PROPN
brj-23074	143	5	spectra	spectra	NOUN
brj-23074	143	6	of	of	ADP
brj-23074	143	7	printing	print	VERB
brj-23074	143	8	paper	paper	NOUN
brj-23074	143	9	samples	sample	NOUN
brj-23074	143	10	and	and	CCONJ
brj-23074	143	11	the	the	DET
brj-23074	143	12	selected	select	VERB
brj-23074	143	13	region	region	NOUN
brj-23074	143	14	:	:	PUNCT
brj-23074	143	15	original	original	ADJ
brj-23074	143	16	(	(	PUNCT
brj-23074	143	17	a	a	DET
brj-23074	143	18	,	,	PUNCT
brj-23074	143	19	b	b	NOUN
brj-23074	143	20	)	)	PUNCT
brj-23074	143	21	and	and	CCONJ
brj-23074	143	22	second	second	ADJ
brj-23074	143	23	-	-	PUNCT
brj-23074	143	24	derivative	derivative	ADJ
brj-23074	143	25	data	datum	NOUN
brj-23074	143	26	(	(	PUNCT
brj-23074	143	27	c	c	X
brj-23074	143	28	,	,	PUNCT
brj-23074	143	29	d	d	NOUN
brj-23074	143	30	)	)	PUNCT
brj-23074	143	31	peer	peer	NOUN
brj-23074	143	32	-	-	PUNCT
brj-23074	143	33	reviewed	review	VERB
brj-23074	143	34	article	article	NOUN
brj-23074	143	35	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	144	1	hwang	hwang	PROPN
brj-23074	144	2	et	et	PROPN
brj-23074	144	3	al	al	PROPN
brj-23074	144	4	.	.	PROPN
brj-23074	144	5	(	(	PUNCT
brj-23074	144	6	2024	2024	NUM
brj-23074	144	7	)	)	PUNCT
brj-23074	144	8	.	.	PUNCT
brj-23074	145	1	“	"	PUNCT
brj-23074	145	2	nir	nir	X
brj-23074	145	3	for	for	ADP
brj-23074	145	4	paper	paper	NOUN
brj-23074	145	5	classification	classification	NOUN
brj-23074	145	6	,	,	PUNCT
brj-23074	145	7	”	"	PUNCT
brj-23074	145	8	bioresources	bioresource	NOUN
brj-23074	145	9	19(1	19(1	NUM
brj-23074	145	10	)	)	PUNCT
brj-23074	145	11	,	,	PUNCT
brj-23074	145	12	1633	1633	NUM
brj-23074	145	13	-	-	SYM
brj-23074	145	14	1651	1651	NUM
brj-23074	145	15	.	.	PUNCT
brj-23074	146	1	1641	1641	NUM
brj-23074	146	2	in	in	ADP
brj-23074	146	3	the	the	DET
brj-23074	146	4	second	second	ADJ
brj-23074	146	5	-	-	PUNCT
brj-23074	146	6	derivative	derivative	ADJ
brj-23074	146	7	spectra	spectra	NOUN
brj-23074	146	8	(	(	PUNCT
brj-23074	146	9	fig	fig	NOUN
brj-23074	146	10	.	.	PUNCT
brj-23074	147	1	3c	3c	NUM
brj-23074	147	2	and	and	CCONJ
brj-23074	147	3	3d	3d	NUM
brj-23074	147	4	)	)	PUNCT
brj-23074	147	5	,	,	PUNCT
brj-23074	147	6	peaks	peak	NOUN
brj-23074	147	7	were	be	AUX
brj-23074	147	8	amplified	amplify	VERB
brj-23074	147	9	,	,	PUNCT
brj-23074	147	10	accentuating	accentuate	VERB
brj-23074	147	11	the	the	DET
brj-23074	147	12	distinctions	distinction	NOUN
brj-23074	147	13	between	between	ADP
brj-23074	147	14	spectra	spectra	NOUN
brj-23074	147	15	.	.	PUNCT
brj-23074	148	1	moreover	moreover	ADV
brj-23074	148	2	,	,	PUNCT
brj-23074	148	3	the	the	DET
brj-23074	148	4	1600	1600	NUM
brj-23074	148	5	to	to	ADP
brj-23074	148	6	1200	1200	NUM
brj-23074	148	7	cm−1	cm−1	NOUN
brj-23074	148	8	region	region	NOUN
brj-23074	148	9	,	,	PUNCT
brj-23074	148	10	where	where	SCONJ
brj-23074	148	11	multiple	multiple	ADJ
brj-23074	148	12	peaks	peak	NOUN
brj-23074	148	13	in	in	ADP
brj-23074	148	14	the	the	DET
brj-23074	148	15	original	original	ADJ
brj-23074	148	16	spectra	spectra	ADJ
brj-23074	148	17	overlap	overlap	NOUN
brj-23074	148	18	,	,	PUNCT
brj-23074	148	19	is	be	AUX
brj-23074	148	20	distinctly	distinctly	ADV
brj-23074	148	21	separated	separate	VERB
brj-23074	148	22	through	through	ADP
brj-23074	148	23	the	the	DET
brj-23074	148	24	second	second	ADJ
brj-23074	148	25	-	-	PUNCT
brj-23074	148	26	derivative	derivative	ADJ
brj-23074	148	27	transformation	transformation	NOUN
brj-23074	148	28	(	(	PUNCT
brj-23074	148	29	fig	fig	NOUN
brj-23074	148	30	.	.	PUNCT
brj-23074	148	31	3d	3d	NUM
brj-23074	148	32	)	)	PUNCT
brj-23074	148	33	.	.	PUNCT
brj-23074	149	1	in	in	ADP
brj-23074	149	2	the	the	DET
brj-23074	149	3	second	second	ADJ
brj-23074	149	4	-	-	PUNCT
brj-23074	149	5	derivative	derivative	ADJ
brj-23074	149	6	spectra	spectra	NOUN
brj-23074	149	7	,	,	PUNCT
brj-23074	149	8	several	several	ADJ
brj-23074	149	9	absorption	absorption	NOUN
brj-23074	149	10	bands	band	NOUN
brj-23074	149	11	,	,	PUNCT
brj-23074	149	12	apart	apart	ADV
brj-23074	149	13	from	from	ADP
brj-23074	149	14	those	those	PRON
brj-23074	149	15	prominently	prominently	ADV
brj-23074	149	16	present	present	ADJ
brj-23074	149	17	in	in	ADP
brj-23074	149	18	the	the	DET
brj-23074	149	19	original	original	ADJ
brj-23074	149	20	spectra	spectra	NOUN
brj-23074	149	21	,	,	PUNCT
brj-23074	149	22	are	be	AUX
brj-23074	149	23	enhanced	enhance	VERB
brj-23074	149	24	.	.	PUNCT
brj-23074	150	1	these	these	PRON
brj-23074	150	2	include	include	VERB
brj-23074	150	3	bands	band	NOUN
brj-23074	150	4	assigned	assign	VERB
brj-23074	150	5	to	to	ADP
brj-23074	150	6	carbonyl	carbonyl	NOUN
brj-23074	150	7	groups	group	NOUN
brj-23074	150	8	at	at	ADP
brj-23074	150	9	1740	1740	NUM
brj-23074	150	10	cm−1	cm−1	NOUN
brj-23074	150	11	(	(	PUNCT
brj-23074	150	12	schwanninger	schwanninger	PROPN
brj-23074	150	13	et	et	PROPN
brj-23074	150	14	al	al	PROPN
brj-23074	150	15	.	.	PROPN
brj-23074	150	16	2004	2004	NUM
brj-23074	150	17	)	)	PUNCT
brj-23074	150	18	,	,	PUNCT
brj-23074	150	19	aromatic	aromatic	ADJ
brj-23074	150	20	parts	part	NOUN
brj-23074	150	21	in	in	ADP
brj-23074	150	22	lignin	lignin	NOUN
brj-23074	150	23	at	at	ADP
brj-23074	150	24	1510	1510	NUM
brj-23074	150	25	cm−1	cm−1	NOUN
brj-23074	150	26	(	(	PUNCT
brj-23074	150	27	pandey	pandey	PROPN
brj-23074	150	28	and	and	CCONJ
brj-23074	150	29	pitman	pitman	NOUN
brj-23074	150	30	2003	2003	NUM
brj-23074	150	31	)	)	PUNCT
brj-23074	150	32	and	and	CCONJ
brj-23074	150	33	1244	1244	NUM
brj-23074	150	34	cm−1	cm−1	NOUN
brj-23074	150	35	(	(	PUNCT
brj-23074	150	36	delmotte	delmotte	NOUN
brj-23074	150	37	et	et	NOUN
brj-23074	150	38	al	al	PROPN
brj-23074	150	39	.	.	PROPN
brj-23074	150	40	2008	2008	NUM
brj-23074	150	41	)	)	PUNCT
brj-23074	150	42	,	,	PUNCT
brj-23074	150	43	amorphous	amorphous	ADJ
brj-23074	150	44	cellulose	cellulose	NOUN
brj-23074	150	45	at	at	ADP
brj-23074	150	46	1466	1466	NUM
brj-23074	150	47	to	to	ADP
brj-23074	150	48	1460	1460	NUM
brj-23074	150	49	cm−1	cm−1	NOUN
brj-23074	150	50	(	(	PUNCT
brj-23074	150	51	hajji	hajji	PROPN
brj-23074	150	52	et	et	PROPN
brj-23074	150	53	al	al	PROPN
brj-23074	150	54	.	.	PROPN
brj-23074	150	55	2016	2016	NUM
brj-23074	150	56	)	)	PUNCT
brj-23074	150	57	,	,	PUNCT
brj-23074	150	58	and	and	CCONJ
brj-23074	150	59	crystalline	crystalline	NOUN
brj-23074	150	60	cellulose	cellulose	NOUN
brj-23074	150	61	at	at	ADP
brj-23074	150	62	1315	1315	NUM
brj-23074	150	63	cm−1	cm−1	PROPN
brj-23074	150	64	(	(	PUNCT
brj-23074	150	65	colom	colom	PROPN
brj-23074	150	66	and	and	CCONJ
brj-23074	150	67	carrillo	carrillo	PROPN
brj-23074	150	68	2002	2002	NUM
brj-23074	150	69	)	)	PUNCT
brj-23074	150	70	.	.	PUNCT
brj-23074	151	1	pca	pca	PROPN
brj-23074	151	2	pca	pca	PROPN
brj-23074	151	3	is	be	AUX
brj-23074	151	4	a	a	DET
brj-23074	151	5	useful	useful	ADJ
brj-23074	151	6	technique	technique	NOUN
brj-23074	151	7	for	for	ADP
brj-23074	151	8	extracting	extract	VERB
brj-23074	151	9	and	and	CCONJ
brj-23074	151	10	analyzing	analyze	VERB
brj-23074	151	11	patterns	pattern	NOUN
brj-23074	151	12	and	and	CCONJ
brj-23074	151	13	structures	structure	NOUN
brj-23074	151	14	in	in	ADP
brj-23074	151	15	high	high	ADJ
brj-23074	151	16	-	-	PUNCT
brj-23074	151	17	dimensional	dimensional	ADJ
brj-23074	151	18	data	datum	NOUN
brj-23074	151	19	.	.	PUNCT
brj-23074	152	1	figure	figure	NOUN
brj-23074	152	2	4	4	NUM
brj-23074	152	3	shows	show	VERB
brj-23074	152	4	score	score	NOUN
brj-23074	152	5	plots	plot	NOUN
brj-23074	152	6	depicting	depict	VERB
brj-23074	152	7	the	the	DET
brj-23074	152	8	first	first	ADJ
brj-23074	152	9	two	two	NUM
brj-23074	152	10	pcs	pc	NOUN
brj-23074	152	11	derived	derive	VERB
brj-23074	152	12	from	from	ADP
brj-23074	152	13	the	the	DET
brj-23074	152	14	four	four	NUM
brj-23074	152	15	ir	ir	PROPN
brj-23074	152	16	datasets	dataset	NOUN
brj-23074	152	17	.	.	PUNCT
brj-23074	153	1	fig	fig	NOUN
brj-23074	153	2	.	.	PUNCT
brj-23074	154	1	4	4	X
brj-23074	154	2	.	.	X
brj-23074	154	3	pc	pc	NOUN
brj-23074	154	4	score	score	NOUN
brj-23074	154	5	plots	plot	NOUN
brj-23074	154	6	for	for	ADP
brj-23074	154	7	the	the	DET
brj-23074	154	8	first	first	ADJ
brj-23074	154	9	two	two	NUM
brj-23074	154	10	pcs	pc	NOUN
brj-23074	154	11	in	in	ADP
brj-23074	154	12	the	the	DET
brj-23074	154	13	4000–400	4000–400	NOUN
brj-23074	154	14	cm−1	cm−1	NOUN
brj-23074	154	15	(	(	PUNCT
brj-23074	154	16	a	a	NOUN
brj-23074	154	17	)	)	PUNCT
brj-23074	154	18	and	and	CCONJ
brj-23074	154	19	1800–1200	1800–1200	NUM
brj-23074	154	20	cm−1	cm−1	NOUN
brj-23074	154	21	(	(	PUNCT
brj-23074	154	22	b	b	NOUN
brj-23074	154	23	)	)	PUNCT
brj-23074	154	24	regions	region	NOUN
brj-23074	154	25	of	of	ADP
brj-23074	154	26	the	the	DET
brj-23074	154	27	original	original	ADJ
brj-23074	154	28	ir	ir	PROPN
brj-23074	154	29	spectra	spectra	NOUN
brj-23074	154	30	,	,	PUNCT
brj-23074	154	31	and	and	CCONJ
brj-23074	154	32	score	score	NOUN
brj-23074	154	33	plots	plot	NOUN
brj-23074	154	34	in	in	ADP
brj-23074	154	35	the	the	DET
brj-23074	154	36	4000–400	4000–400	NOUN
brj-23074	154	37	cm−1	cm−1	NOUN
brj-23074	154	38	(	(	PUNCT
brj-23074	154	39	c	c	NOUN
brj-23074	154	40	)	)	PUNCT
brj-23074	154	41	and	and	CCONJ
brj-23074	154	42	1800–1200	1800–1200	NUM
brj-23074	154	43	cm	cm	NOUN
brj-23074	154	44	−1	−1	NOUN
brj-23074	154	45	(	(	PUNCT
brj-23074	154	46	d	d	NOUN
brj-23074	154	47	)	)	PUNCT
brj-23074	154	48	regions	region	NOUN
brj-23074	154	49	of	of	ADP
brj-23074	154	50	second	second	ADJ
brj-23074	154	51	-	-	PUNCT
brj-23074	154	52	derivative	derivative	ADJ
brj-23074	154	53	spectra	spectra	ADJ
brj-23074	154	54	peer	peer	NOUN
brj-23074	154	55	-	-	PUNCT
brj-23074	154	56	reviewed	review	VERB
brj-23074	154	57	article	article	NOUN
brj-23074	154	58	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	155	1	hwang	hwang	PROPN
brj-23074	155	2	et	et	PROPN
brj-23074	155	3	al	al	PROPN
brj-23074	155	4	.	.	PROPN
brj-23074	155	5	(	(	PUNCT
brj-23074	155	6	2024	2024	NUM
brj-23074	155	7	)	)	PUNCT
brj-23074	155	8	.	.	PUNCT
brj-23074	156	1	“	"	PUNCT
brj-23074	156	2	nir	nir	X
brj-23074	156	3	for	for	ADP
brj-23074	156	4	paper	paper	NOUN
brj-23074	156	5	classification	classification	NOUN
brj-23074	156	6	,	,	PUNCT
brj-23074	156	7	”	"	PUNCT
brj-23074	156	8	bioresources	bioresource	NOUN
brj-23074	156	9	19(1	19(1	NUM
brj-23074	156	10	)	)	PUNCT
brj-23074	156	11	,	,	PUNCT
brj-23074	156	12	1633	1633	NUM
brj-23074	156	13	-	-	SYM
brj-23074	156	14	1651	1651	NUM
brj-23074	156	15	.	.	PUNCT
brj-23074	156	16	1642	1642	NUM
brj-23074	156	17	in	in	ADP
brj-23074	156	18	all	all	DET
brj-23074	156	19	the	the	DET
brj-23074	156	20	score	score	NOUN
brj-23074	156	21	plots	plot	NOUN
brj-23074	156	22	,	,	PUNCT
brj-23074	156	23	data	datum	NOUN
brj-23074	156	24	points	point	NOUN
brj-23074	156	25	from	from	ADP
brj-23074	156	26	the	the	DET
brj-23074	156	27	majority	majority	NOUN
brj-23074	156	28	of	of	ADP
brj-23074	156	29	samples	sample	NOUN
brj-23074	156	30	are	be	AUX
brj-23074	156	31	mixed	mixed	ADJ
brj-23074	156	32	,	,	PUNCT
brj-23074	156	33	forming	form	VERB
brj-23074	156	34	a	a	DET
brj-23074	156	35	unified	unified	ADJ
brj-23074	156	36	,	,	PUNCT
brj-23074	156	37	large	large	ADJ
brj-23074	156	38	cluster	cluster	NOUN
brj-23074	156	39	,	,	PUNCT
brj-23074	156	40	whereas	whereas	SCONJ
brj-23074	156	41	some	some	DET
brj-23074	156	42	samples	sample	NOUN
brj-23074	156	43	are	be	AUX
brj-23074	156	44	grouped	group	VERB
brj-23074	156	45	into	into	ADP
brj-23074	156	46	smaller	small	ADJ
brj-23074	156	47	,	,	PUNCT
brj-23074	156	48	distinct	distinct	ADJ
brj-23074	156	49	clusters	cluster	NOUN
brj-23074	156	50	.	.	PUNCT
brj-23074	157	1	notably	notably	ADV
brj-23074	157	2	,	,	PUNCT
brj-23074	157	3	in	in	ADP
brj-23074	157	4	contrast	contrast	NOUN
brj-23074	157	5	to	to	ADP
brj-23074	157	6	other	other	ADJ
brj-23074	157	7	score	score	NOUN
brj-23074	157	8	plots	plot	NOUN
brj-23074	157	9	(	(	PUNCT
brj-23074	157	10	fig	fig	NOUN
brj-23074	157	11	.	.	PUNCT
brj-23074	157	12	4a	4a	NOUN
brj-23074	157	13	,	,	PUNCT
brj-23074	157	14	4b	4b	NOUN
brj-23074	157	15	,	,	PUNCT
brj-23074	157	16	4c	4c	NOUN
brj-23074	157	17	)	)	PUNCT
brj-23074	157	18	,	,	PUNCT
brj-23074	157	19	the	the	DET
brj-23074	157	20	smaller	small	ADJ
brj-23074	157	21	clusters	cluster	NOUN
brj-23074	157	22	are	be	AUX
brj-23074	157	23	more	more	ADV
brj-23074	157	24	prominently	prominently	ADV
brj-23074	157	25	separated	separate	VERB
brj-23074	157	26	from	from	ADP
brj-23074	157	27	the	the	DET
brj-23074	157	28	larger	large	ADJ
brj-23074	157	29	cluster	cluster	NOUN
brj-23074	157	30	in	in	ADP
brj-23074	157	31	the	the	DET
brj-23074	157	32	score	score	NOUN
brj-23074	157	33	plots	plot	NOUN
brj-23074	157	34	of	of	ADP
brj-23074	157	35	second	second	ADJ
brj-23074	157	36	-	-	PUNCT
brj-23074	157	37	derivative	derivative	ADJ
brj-23074	157	38	spectra	spectra	NOUN
brj-23074	157	39	in	in	ADP
brj-23074	157	40	the	the	DET
brj-23074	157	41	1800	1800	NUM
brj-23074	157	42	to	to	ADP
brj-23074	157	43	1200	1200	NUM
brj-23074	157	44	cm−1	cm−1	NOUN
brj-23074	157	45	region	region	NOUN
brj-23074	157	46	(	(	PUNCT
brj-23074	157	47	fig	fig	NOUN
brj-23074	157	48	.	.	PUNCT
brj-23074	158	1	4d	4d	NUM
brj-23074	158	2	)	)	PUNCT
brj-23074	158	3	.	.	PUNCT
brj-23074	159	1	these	these	DET
brj-23074	159	2	clusters	cluster	NOUN
brj-23074	159	3	correspond	correspond	VERB
brj-23074	159	4	to	to	ADP
brj-23074	159	5	products	product	NOUN
brj-23074	159	6	manufactured	manufacture	VERB
brj-23074	159	7	in	in	ADP
brj-23074	159	8	korea	korea	PROPN
brj-23074	159	9	,	,	PUNCT
brj-23074	159	10	germany	germany	PROPN
brj-23074	159	11	,	,	PUNCT
brj-23074	159	12	china	china	PROPN
brj-23074	159	13	,	,	PUNCT
brj-23074	159	14	and	and	CCONJ
brj-23074	159	15	the	the	DET
brj-23074	159	16	united	united	PROPN
brj-23074	159	17	states	states	PROPN
brj-23074	159	18	,	,	PUNCT
brj-23074	159	19	with	with	ADP
brj-23074	159	20	each	each	DET
brj-23074	159	21	cluster	cluster	NOUN
brj-23074	159	22	comprising	comprise	VERB
brj-23074	159	23	data	datum	NOUN
brj-23074	159	24	points	point	NOUN
brj-23074	159	25	from	from	ADP
brj-23074	159	26	the	the	DET
brj-23074	159	27	same	same	ADJ
brj-23074	159	28	product	product	NOUN
brj-23074	159	29	.	.	PUNCT
brj-23074	160	1	korean	korean	ADJ
brj-23074	160	2	and	and	CCONJ
brj-23074	160	3	german	german	ADJ
brj-23074	160	4	products	product	NOUN
brj-23074	160	5	have	have	AUX
brj-23074	160	6	been	be	AUX
brj-23074	160	7	identified	identify	VERB
brj-23074	160	8	as	as	ADP
brj-23074	160	9	recycled	recycled	ADJ
brj-23074	160	10	paper	paper	NOUN
brj-23074	160	11	.	.	PUNCT
brj-23074	161	1	the	the	DET
brj-23074	161	2	second	second	ADJ
brj-23074	161	3	-	-	PUNCT
brj-23074	161	4	derivative	derivative	ADJ
brj-23074	161	5	spectra	spectra	NOUN
brj-23074	161	6	of	of	ADP
brj-23074	161	7	four	four	NUM
brj-23074	161	8	products	product	NOUN
brj-23074	161	9	isolated	isolate	VERB
brj-23074	161	10	from	from	ADP
brj-23074	161	11	the	the	DET
brj-23074	161	12	large	large	ADJ
brj-23074	161	13	cluster	cluster	NOUN
brj-23074	161	14	in	in	ADP
brj-23074	161	15	the	the	DET
brj-23074	161	16	pc	pc	NOUN
brj-23074	161	17	score	score	NOUN
brj-23074	161	18	plot	plot	NOUN
brj-23074	161	19	(	(	PUNCT
brj-23074	161	20	fig	fig	NOUN
brj-23074	161	21	.	.	PUNCT
brj-23074	161	22	4d	4d	NUM
brj-23074	161	23	)	)	PUNCT
brj-23074	161	24	and	and	CCONJ
brj-23074	161	25	the	the	DET
brj-23074	161	26	loading	loading	NOUN
brj-23074	161	27	values	value	NOUN
brj-23074	161	28	of	of	ADP
brj-23074	161	29	the	the	DET
brj-23074	161	30	first	first	ADJ
brj-23074	161	31	two	two	NUM
brj-23074	161	32	pcs	pc	NOUN
brj-23074	161	33	are	be	AUX
brj-23074	161	34	shown	show	VERB
brj-23074	161	35	in	in	ADP
brj-23074	161	36	fig	fig	NOUN
brj-23074	161	37	.	.	PUNCT
brj-23074	162	1	5	5	X
brj-23074	162	2	.	.	X
brj-23074	162	3	the	the	DET
brj-23074	162	4	absorbance	absorbance	NOUN
brj-23074	162	5	bands	band	NOUN
brj-23074	162	6	at	at	ADP
brj-23074	162	7	1510	1510	NUM
brj-23074	162	8	and	and	CCONJ
brj-23074	162	9	1595	1595	NUM
brj-23074	162	10	cm−1	cm−1	PROPN
brj-23074	162	11	(	(	PUNCT
brj-23074	162	12	fig	fig	NOUN
brj-23074	162	13	.	.	PUNCT
brj-23074	163	1	5b	5b	NUM
brj-23074	163	2	)	)	PUNCT
brj-23074	163	3	,	,	PUNCT
brj-23074	163	4	assigned	assign	VERB
brj-23074	163	5	to	to	ADP
brj-23074	163	6	the	the	DET
brj-23074	163	7	aromatic	aromatic	ADJ
brj-23074	163	8	part	part	NOUN
brj-23074	163	9	of	of	ADP
brj-23074	163	10	lignin	lignin	NOUN
brj-23074	163	11	,	,	PUNCT
brj-23074	163	12	contributed	contribute	VERB
brj-23074	163	13	to	to	ADP
brj-23074	163	14	the	the	DET
brj-23074	163	15	positioning	positioning	NOUN
brj-23074	163	16	of	of	ADP
brj-23074	163	17	korean	korean	ADJ
brj-23074	163	18	and	and	CCONJ
brj-23074	163	19	german	german	ADJ
brj-23074	163	20	recycled	recycle	VERB
brj-23074	163	21	products	product	NOUN
brj-23074	163	22	in	in	ADP
brj-23074	163	23	the	the	DET
brj-23074	163	24	high	high	ADJ
brj-23074	163	25	-	-	PUNCT
brj-23074	163	26	pc2	pc2	NOUN
brj-23074	163	27	region	region	NOUN
brj-23074	163	28	of	of	ADP
brj-23074	163	29	the	the	DET
brj-23074	163	30	score	score	NOUN
brj-23074	163	31	plot	plot	NOUN
brj-23074	163	32	.	.	PUNCT
brj-23074	164	1	they	they	PRON
brj-23074	164	2	showed	show	VERB
brj-23074	164	3	stronger	strong	ADJ
brj-23074	164	4	peaks	peak	NOUN
brj-23074	164	5	in	in	ADP
brj-23074	164	6	those	those	DET
brj-23074	164	7	regions	region	NOUN
brj-23074	164	8	than	than	ADP
brj-23074	164	9	in	in	ADP
brj-23074	164	10	the	the	DET
brj-23074	164	11	control	control	NOUN
brj-23074	164	12	ir	ir	PROPN
brj-23074	164	13	spectrum	spectrum	NOUN
brj-23074	164	14	.	.	PUNCT
brj-23074	165	1	these	these	DET
brj-23074	165	2	results	result	NOUN
brj-23074	165	3	suggest	suggest	VERB
brj-23074	165	4	that	that	SCONJ
brj-23074	165	5	unbleached	unbleached	ADJ
brj-23074	165	6	pulp	pulp	NOUN
brj-23074	165	7	was	be	AUX
brj-23074	165	8	possibly	possibly	ADV
brj-23074	165	9	used	use	VERB
brj-23074	165	10	in	in	ADP
brj-23074	165	11	the	the	DET
brj-23074	165	12	manufacturing	manufacturing	NOUN
brj-23074	165	13	of	of	ADP
brj-23074	165	14	the	the	DET
brj-23074	165	15	recycled	recycled	ADJ
brj-23074	165	16	products	product	NOUN
brj-23074	165	17	.	.	PUNCT
brj-23074	166	1	the	the	DET
brj-23074	166	2	characteristics	characteristic	NOUN
brj-23074	166	3	of	of	ADP
brj-23074	166	4	the	the	DET
brj-23074	166	5	ir	ir	PROPN
brj-23074	166	6	spectra	spectra	NOUN
brj-23074	166	7	and	and	CCONJ
brj-23074	166	8	pc	pc	NOUN
brj-23074	166	9	loading	loading	NOUN
brj-23074	166	10	of	of	ADP
brj-23074	166	11	the	the	DET
brj-23074	166	12	chinese	chinese	ADJ
brj-23074	166	13	products	product	NOUN
brj-23074	166	14	,	,	PUNCT
brj-23074	166	15	forming	form	VERB
brj-23074	166	16	a	a	DET
brj-23074	166	17	distinct	distinct	ADJ
brj-23074	166	18	cluster	cluster	NOUN
brj-23074	166	19	,	,	PUNCT
brj-23074	166	20	closely	closely	ADV
brj-23074	166	21	resemble	resemble	VERB
brj-23074	166	22	those	those	PRON
brj-23074	166	23	of	of	ADP
brj-23074	166	24	the	the	DET
brj-23074	166	25	korean	korean	ADJ
brj-23074	166	26	and	and	CCONJ
brj-23074	166	27	german	german	ADJ
brj-23074	166	28	recycled	recycle	VERB
brj-23074	166	29	products	product	NOUN
brj-23074	166	30	.	.	PUNCT
brj-23074	167	1	the	the	DET
brj-23074	167	2	isolated	isolated	ADJ
brj-23074	167	3	cluster	cluster	NOUN
brj-23074	167	4	of	of	ADP
brj-23074	167	5	the	the	DET
brj-23074	167	6	united	united	PROPN
brj-23074	167	7	states	states	PROPN
brj-23074	167	8	products	product	NOUN
brj-23074	167	9	with	with	ADP
brj-23074	167	10	high	high	ADJ
brj-23074	167	11	pc1	pc1	PROPN
brj-23074	167	12	values	value	NOUN
brj-23074	167	13	exhibited	exhibit	VERB
brj-23074	167	14	a	a	DET
brj-23074	167	15	conspicuously	conspicuously	ADV
brj-23074	167	16	strong	strong	ADJ
brj-23074	167	17	peak	peak	NOUN
brj-23074	167	18	at	at	ADP
brj-23074	167	19	1416	1416	NUM
brj-23074	167	20	cm−1	cm−1	NOUN
brj-23074	167	21	(	(	PUNCT
brj-23074	167	22	fig	fig	NOUN
brj-23074	167	23	.	.	PUNCT
brj-23074	168	1	5a	5a	NUM
brj-23074	168	2	)	)	PUNCT
brj-23074	168	3	,	,	PUNCT
brj-23074	168	4	which	which	PRON
brj-23074	168	5	was	be	AUX
brj-23074	168	6	assigned	assign	VERB
brj-23074	168	7	to	to	ADP
brj-23074	168	8	the	the	DET
brj-23074	168	9	crystalline	crystalline	NOUN
brj-23074	168	10	cellulose	cellulose	NOUN
brj-23074	168	11	.	.	PUNCT
brj-23074	169	1	furthermore	furthermore	ADV
brj-23074	169	2	,	,	PUNCT
brj-23074	169	3	the	the	DET
brj-23074	169	4	substantial	substantial	ADJ
brj-23074	169	5	negative	negative	ADJ
brj-23074	169	6	value	value	NOUN
brj-23074	169	7	in	in	ADP
brj-23074	169	8	the	the	DET
brj-23074	169	9	pc1	pc1	PROPN
brj-23074	169	10	loading	loading	NOUN
brj-23074	169	11	for	for	ADP
brj-23074	169	12	this	this	DET
brj-23074	169	13	region	region	NOUN
brj-23074	169	14	indicated	indicate	VERB
brj-23074	169	15	that	that	SCONJ
brj-23074	169	16	it	it	PRON
brj-23074	169	17	was	be	AUX
brj-23074	169	18	a	a	DET
brj-23074	169	19	distinctive	distinctive	ADJ
brj-23074	169	20	feature	feature	NOUN
brj-23074	169	21	of	of	ADP
brj-23074	169	22	these	these	DET
brj-23074	169	23	products	product	NOUN
brj-23074	169	24	.	.	PUNCT
brj-23074	170	1	variations	variation	NOUN
brj-23074	170	2	in	in	ADP
brj-23074	170	3	the	the	DET
brj-23074	170	4	crystallinity	crystallinity	NOUN
brj-23074	170	5	of	of	ADP
brj-23074	170	6	cellulose	cellulose	NOUN
brj-23074	170	7	in	in	ADP
brj-23074	170	8	printing	print	VERB
brj-23074	170	9	paper	paper	NOUN
brj-23074	170	10	samples	sample	NOUN
brj-23074	170	11	were	be	AUX
brj-23074	170	12	attributed	attribute	VERB
brj-23074	170	13	to	to	ADP
brj-23074	170	14	differences	difference	NOUN
brj-23074	170	15	in	in	ADP
brj-23074	170	16	cooking	cooking	NOUN
brj-23074	170	17	methods	method	NOUN
brj-23074	170	18	and	and	CCONJ
brj-23074	170	19	conditions	condition	NOUN
brj-23074	170	20	(	(	PUNCT
brj-23074	170	21	gümüşkaya	gümüşkaya	VERB
brj-23074	170	22	et	et	PROPN
brj-23074	170	23	al	al	PROPN
brj-23074	170	24	.	.	PROPN
brj-23074	170	25	2003	2003	NUM
brj-23074	170	26	)	)	PUNCT
brj-23074	170	27	.	.	PUNCT
brj-23074	171	1	however	however	ADV
brj-23074	171	2	,	,	PUNCT
brj-23074	171	3	given	give	VERB
brj-23074	171	4	that	that	SCONJ
brj-23074	171	5	the	the	DET
brj-23074	171	6	printing	printing	NOUN
brj-23074	171	7	paper	paper	NOUN
brj-23074	171	8	is	be	AUX
brj-23074	171	9	kraft	kraft	NOUN
brj-23074	171	10	pulp	pulp	NOUN
brj-23074	171	11	based	base	VERB
brj-23074	171	12	,	,	PUNCT
brj-23074	171	13	factors	factor	NOUN
brj-23074	171	14	other	other	ADJ
brj-23074	171	15	than	than	ADP
brj-23074	171	16	cooking	cook	VERB
brj-23074	171	17	methods	method	NOUN
brj-23074	171	18	likely	likely	ADV
brj-23074	171	19	contributed	contribute	VERB
brj-23074	171	20	to	to	ADP
brj-23074	171	21	this	this	DET
brj-23074	171	22	effect	effect	NOUN
brj-23074	171	23	because	because	SCONJ
brj-23074	171	24	the	the	DET
brj-23074	171	25	use	use	NOUN
brj-23074	171	26	of	of	ADP
brj-23074	171	27	recycled	recycle	VERB
brj-23074	171	28	pulp	pulp	NOUN
brj-23074	171	29	in	in	ADP
brj-23074	171	30	the	the	DET
brj-23074	171	31	manufacturing	manufacturing	NOUN
brj-23074	171	32	of	of	ADP
brj-23074	171	33	this	this	DET
brj-23074	171	34	product	product	NOUN
brj-23074	171	35	can	can	AUX
brj-23074	171	36	not	not	PART
brj-23074	171	37	be	be	AUX
brj-23074	171	38	discounted	discount	VERB
brj-23074	171	39	(	(	PUNCT
brj-23074	171	40	sheikhi	sheikhi	NOUN
brj-23074	171	41	et	et	PROPN
brj-23074	171	42	al	al	PROPN
brj-23074	171	43	.	.	PROPN
brj-23074	171	44	2010	2010	NUM
brj-23074	171	45	)	)	PUNCT
brj-23074	171	46	.	.	PUNCT
brj-23074	172	1	fig	fig	NOUN
brj-23074	172	2	.	.	PUNCT
brj-23074	173	1	5	5	X
brj-23074	173	2	.	.	X
brj-23074	173	3	loadings	loading	NOUN
brj-23074	173	4	for	for	ADP
brj-23074	173	5	the	the	DET
brj-23074	173	6	first	first	ADJ
brj-23074	173	7	two	two	NUM
brj-23074	173	8	pcs	pc	NOUN
brj-23074	173	9	in	in	ADP
brj-23074	173	10	the	the	DET
brj-23074	173	11	1800	1800	NUM
brj-23074	173	12	to	to	ADP
brj-23074	173	13	1200	1200	NUM
brj-23074	173	14	cm−1	cm−1	NOUN
brj-23074	173	15	region	region	NOUN
brj-23074	173	16	of	of	ADP
brj-23074	173	17	the	the	DET
brj-23074	173	18	second	second	ADJ
brj-23074	173	19	-	-	PUNCT
brj-23074	173	20	derivative	derivative	ADJ
brj-23074	173	21	ir	ir	PROPN
brj-23074	173	22	spectra	spectra	PROPN
brj-23074	173	23	.	.	PUNCT
brj-23074	174	1	numbers	number	NOUN
brj-23074	174	2	in	in	ADP
brj-23074	174	3	parentheses	parenthesis	NOUN
brj-23074	174	4	indicate	indicate	VERB
brj-23074	174	5	product	product	NOUN
brj-23074	174	6	number	number	NOUN
brj-23074	174	7	for	for	ADP
brj-23074	174	8	printing	print	VERB
brj-23074	174	9	paper	paper	NOUN
brj-23074	174	10	samples	sample	NOUN
brj-23074	174	11	.	.	PUNCT
brj-23074	175	1	peer	peer	NOUN
brj-23074	175	2	-	-	PUNCT
brj-23074	175	3	reviewed	review	VERB
brj-23074	175	4	article	article	NOUN
brj-23074	175	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	175	6	hwang	hwang	PROPN
brj-23074	175	7	et	et	PROPN
brj-23074	175	8	al	al	PROPN
brj-23074	175	9	.	.	PROPN
brj-23074	175	10	(	(	PUNCT
brj-23074	175	11	2024	2024	NUM
brj-23074	175	12	)	)	PUNCT
brj-23074	175	13	.	.	PUNCT
brj-23074	176	1	“	"	PUNCT
brj-23074	176	2	nir	nir	X
brj-23074	176	3	for	for	ADP
brj-23074	176	4	paper	paper	NOUN
brj-23074	176	5	classification	classification	NOUN
brj-23074	176	6	,	,	PUNCT
brj-23074	176	7	”	"	PUNCT
brj-23074	176	8	bioresources	bioresource	NOUN
brj-23074	176	9	19(1	19(1	NUM
brj-23074	176	10	)	)	PUNCT
brj-23074	176	11	,	,	PUNCT
brj-23074	176	12	1633	1633	NUM
brj-23074	176	13	-	-	SYM
brj-23074	176	14	1651	1651	NUM
brj-23074	176	15	.	.	PUNCT
brj-23074	177	1	1643	1643	NUM
brj-23074	177	2	classification	classification	NOUN
brj-23074	177	3	of	of	ADP
brj-23074	177	4	printing	printing	NOUN
brj-23074	177	5	papers	paper	NOUN
brj-23074	177	6	1d	1d	NUM
brj-23074	177	7	cnn	cnn	PROPN
brj-23074	177	8	models	model	VERB
brj-23074	177	9	the	the	DET
brj-23074	177	10	1d	1d	NUM
brj-23074	177	11	cnn	cnn	NOUN
brj-23074	177	12	models	model	NOUN
brj-23074	177	13	trained	train	VERB
brj-23074	177	14	on	on	ADP
brj-23074	177	15	the	the	DET
brj-23074	177	16	ir	ir	PROPN
brj-23074	177	17	spectra	spectra	PROPN
brj-23074	177	18	were	be	AUX
brj-23074	177	19	constructed	construct	VERB
brj-23074	177	20	for	for	ADP
brj-23074	177	21	the	the	DET
brj-23074	177	22	classification	classification	NOUN
brj-23074	177	23	of	of	ADP
brj-23074	177	24	printing	print	VERB
brj-23074	177	25	paper	paper	NOUN
brj-23074	177	26	samples	sample	NOUN
brj-23074	177	27	.	.	PUNCT
brj-23074	178	1	the	the	DET
brj-23074	178	2	learning	learning	NOUN
brj-23074	178	3	curves	curve	NOUN
brj-23074	178	4	of	of	ADP
brj-23074	178	5	the	the	DET
brj-23074	178	6	models	model	NOUN
brj-23074	178	7	for	for	ADP
brj-23074	178	8	classifying	classify	VERB
brj-23074	178	9	the	the	DET
brj-23074	178	10	country	country	NOUN
brj-23074	178	11	of	of	ADP
brj-23074	178	12	manufacturing	manufacturing	NOUN
brj-23074	178	13	shown	show	VERB
brj-23074	178	14	in	in	ADP
brj-23074	178	15	fig	fig	NOUN
brj-23074	178	16	.	.	PUNCT
brj-23074	179	1	6	6	NUM
brj-23074	179	2	demonstrate	demonstrate	VERB
brj-23074	179	3	a	a	DET
brj-23074	179	4	smaller	small	ADJ
brj-23074	179	5	loss	loss	NOUN
brj-23074	179	6	difference	difference	NOUN
brj-23074	179	7	between	between	ADP
brj-23074	179	8	the	the	DET
brj-23074	179	9	training	training	NOUN
brj-23074	179	10	and	and	CCONJ
brj-23074	179	11	validation	validation	NOUN
brj-23074	179	12	curves	curve	NOUN
brj-23074	179	13	in	in	ADP
brj-23074	179	14	the	the	DET
brj-23074	179	15	selected	select	VERB
brj-23074	179	16	range	range	NOUN
brj-23074	179	17	of	of	ADP
brj-23074	179	18	1800	1800	NUM
brj-23074	179	19	to	to	ADP
brj-23074	179	20	1200	1200	NUM
brj-23074	179	21	cm−1	cm−1	NOUN
brj-23074	179	22	(	(	PUNCT
brj-23074	179	23	fig	fig	NOUN
brj-23074	179	24	.	.	PUNCT
brj-23074	179	25	6b	6b	NOUN
brj-23074	179	26	)	)	PUNCT
brj-23074	179	27	,	,	PUNCT
brj-23074	179	28	as	as	SCONJ
brj-23074	179	29	opposed	oppose	VERB
brj-23074	179	30	to	to	ADP
brj-23074	179	31	the	the	DET
brj-23074	179	32	entire	entire	ADJ
brj-23074	179	33	ir	ir	PROPN
brj-23074	179	34	spectra	spectra	NOUN
brj-23074	179	35	(	(	PUNCT
brj-23074	179	36	fig	fig	NOUN
brj-23074	179	37	.	.	PUNCT
brj-23074	179	38	6a	6a	NOUN
brj-23074	179	39	)	)	PUNCT
brj-23074	179	40	.	.	PUNCT
brj-23074	180	1	the	the	DET
brj-23074	180	2	variation	variation	NOUN
brj-23074	180	3	between	between	ADP
brj-23074	180	4	the	the	DET
brj-23074	180	5	training	training	NOUN
brj-23074	180	6	and	and	CCONJ
brj-23074	180	7	validation	validation	NOUN
brj-23074	180	8	curves	curve	NOUN
brj-23074	180	9	can	can	AUX
brj-23074	180	10	provide	provide	VERB
brj-23074	180	11	insights	insight	NOUN
brj-23074	180	12	into	into	ADP
brj-23074	180	13	model	model	NOUN
brj-23074	180	14	overfitting	overfitting	NOUN
brj-23074	180	15	and	and	CCONJ
brj-23074	180	16	generalization	generalization	NOUN
brj-23074	180	17	performance	performance	NOUN
brj-23074	180	18	,	,	PUNCT
brj-23074	180	19	with	with	ADP
brj-23074	180	20	the	the	DET
brj-23074	180	21	smaller	small	ADJ
brj-23074	180	22	difference	difference	NOUN
brj-23074	180	23	in	in	ADP
brj-23074	180	24	the	the	DET
brj-23074	180	25	selected	select	VERB
brj-23074	180	26	range	range	NOUN
brj-23074	180	27	suggesting	suggest	VERB
brj-23074	180	28	that	that	SCONJ
brj-23074	180	29	models	model	NOUN
brj-23074	180	30	trained	train	VERB
brj-23074	180	31	on	on	ADP
brj-23074	180	32	the	the	DET
brj-23074	180	33	ir	ir	PROPN
brj-23074	180	34	data	datum	NOUN
brj-23074	180	35	from	from	ADP
brj-23074	180	36	this	this	DET
brj-23074	180	37	region	region	NOUN
brj-23074	180	38	are	be	AUX
brj-23074	180	39	more	more	ADV
brj-23074	180	40	likely	likely	ADJ
brj-23074	180	41	to	to	PART
brj-23074	180	42	possess	possess	VERB
brj-23074	180	43	predictive	predictive	ADJ
brj-23074	180	44	capabilities	capability	NOUN
brj-23074	180	45	for	for	ADP
brj-23074	180	46	new	new	ADJ
brj-23074	180	47	data	datum	NOUN
brj-23074	180	48	(	(	PUNCT
brj-23074	180	49	anzanello	anzanello	NOUN
brj-23074	180	50	and	and	CCONJ
brj-23074	180	51	fogliatto	fogliatto	ADJ
brj-23074	180	52	2011	2011	NUM
brj-23074	180	53	)	)	PUNCT
brj-23074	180	54	.	.	PUNCT
brj-23074	181	1	fig	fig	NOUN
brj-23074	181	2	.	.	PUNCT
brj-23074	182	1	6	6	X
brj-23074	182	2	.	.	X
brj-23074	183	1	learning	learn	VERB
brj-23074	183	2	curves	curve	NOUN
brj-23074	183	3	of	of	ADP
brj-23074	183	4	the	the	DET
brj-23074	183	5	1d	1d	NUM
brj-23074	183	6	cnns	cnn	NOUN
brj-23074	183	7	for	for	ADP
brj-23074	183	8	the	the	DET
brj-23074	183	9	training	training	NOUN
brj-23074	183	10	on	on	ADP
brj-23074	183	11	ir	ir	PROPN
brj-23074	183	12	spectral	spectral	ADJ
brj-23074	183	13	data	datum	NOUN
brj-23074	183	14	and	and	CCONJ
brj-23074	183	15	model	model	NOUN
brj-23074	183	16	validation	validation	NOUN
brj-23074	183	17	for	for	ADP
brj-23074	183	18	the	the	DET
brj-23074	183	19	classification	classification	NOUN
brj-23074	183	20	of	of	ADP
brj-23074	183	21	the	the	DET
brj-23074	183	22	country	country	NOUN
brj-23074	183	23	of	of	ADP
brj-23074	183	24	manufacturing	manufacturing	NOUN
brj-23074	183	25	for	for	ADP
brj-23074	183	26	printing	print	VERB
brj-23074	183	27	paper	paper	NOUN
brj-23074	183	28	samples	sample	NOUN
brj-23074	183	29	.	.	PUNCT
brj-23074	184	1	learning	learn	VERB
brj-23074	184	2	curve	curve	NOUN
brj-23074	184	3	for	for	ADP
brj-23074	184	4	the	the	DET
brj-23074	184	5	entire	entire	ADJ
brj-23074	184	6	ir	ir	NOUN
brj-23074	184	7	data	datum	NOUN
brj-23074	184	8	from	from	ADP
brj-23074	184	9	4000	4000	NUM
brj-23074	184	10	to	to	PART
brj-23074	184	11	400	400	NUM
brj-23074	184	12	cm−1	cm−1	NOUN
brj-23074	184	13	(	(	PUNCT
brj-23074	184	14	a	a	NOUN
brj-23074	184	15	)	)	PUNCT
brj-23074	184	16	and	and	CCONJ
brj-23074	184	17	learning	learn	VERB
brj-23074	184	18	curve	curve	NOUN
brj-23074	184	19	for	for	ADP
brj-23074	184	20	selected	select	VERB
brj-23074	184	21	data	datum	NOUN
brj-23074	184	22	in	in	ADP
brj-23074	184	23	the	the	DET
brj-23074	184	24	1800	1800	NUM
brj-23074	184	25	to	to	ADP
brj-23074	184	26	1200	1200	NUM
brj-23074	184	27	cm−1	cm−1	NOUN
brj-23074	184	28	range	range	NOUN
brj-23074	184	29	(	(	PUNCT
brj-23074	184	30	b	b	NOUN
brj-23074	184	31	)	)	PUNCT
brj-23074	184	32	figure	figure	NOUN
brj-23074	184	33	7	7	NUM
brj-23074	184	34	presents	present	NOUN
brj-23074	184	35	the	the	DET
brj-23074	184	36	f1	f1	PROPN
brj-23074	184	37	scores	score	NOUN
brj-23074	184	38	for	for	ADP
brj-23074	184	39	the	the	DET
brj-23074	184	40	1d	1d	NUM
brj-23074	184	41	cnn	cnn	NOUN
brj-23074	184	42	models	model	NOUN
brj-23074	184	43	trained	train	VERB
brj-23074	184	44	on	on	ADP
brj-23074	184	45	the	the	DET
brj-23074	184	46	ir	ir	PROPN
brj-23074	184	47	spectral	spectral	PROPN
brj-23074	184	48	data	datum	NOUN
brj-23074	184	49	for	for	ADP
brj-23074	184	50	the	the	DET
brj-23074	184	51	classification	classification	NOUN
brj-23074	184	52	of	of	ADP
brj-23074	184	53	printing	print	VERB
brj-23074	184	54	paper	paper	NOUN
brj-23074	184	55	samples	sample	NOUN
brj-23074	184	56	.	.	PUNCT
brj-23074	185	1	the	the	DET
brj-23074	185	2	hyperparameters	hyperparameter	NOUN
brj-23074	185	3	applied	apply	VERB
brj-23074	185	4	to	to	ADP
brj-23074	185	5	each	each	DET
brj-23074	185	6	model	model	NOUN
brj-23074	185	7	,	,	PUNCT
brj-23074	185	8	determined	determine	VERB
brj-23074	185	9	through	through	ADP
brj-23074	185	10	loop	loop	NOUN
brj-23074	185	11	-	-	PUNCT
brj-23074	185	12	based	base	VERB
brj-23074	185	13	optimization	optimization	NOUN
brj-23074	185	14	,	,	PUNCT
brj-23074	185	15	are	be	AUX
brj-23074	185	16	detailed	detail	VERB
brj-23074	185	17	in	in	ADP
brj-23074	185	18	table	table	NOUN
brj-23074	185	19	3	3	NUM
brj-23074	185	20	.	.	PUNCT
brj-23074	186	1	in	in	ADP
brj-23074	186	2	the	the	DET
brj-23074	186	3	classification	classification	NOUN
brj-23074	186	4	of	of	ADP
brj-23074	186	5	the	the	DET
brj-23074	186	6	continent	continent	NOUN
brj-23074	186	7	of	of	ADP
brj-23074	186	8	manufacturing	manufacturing	NOUN
brj-23074	186	9	,	,	PUNCT
brj-23074	186	10	all	all	DET
brj-23074	186	11	models	model	NOUN
brj-23074	186	12	exhibited	exhibit	VERB
brj-23074	186	13	f1	f1	PROPN
brj-23074	186	14	scores	score	NOUN
brj-23074	186	15	exceeding	exceed	VERB
brj-23074	186	16	0.967	0.967	NUM
brj-23074	186	17	,	,	PUNCT
brj-23074	186	18	confirming	confirm	VERB
brj-23074	186	19	that	that	SCONJ
brj-23074	186	20	printing	print	VERB
brj-23074	186	21	paper	paper	NOUN
brj-23074	186	22	samples	sample	NOUN
brj-23074	186	23	share	share	VERB
brj-23074	186	24	similar	similar	ADJ
brj-23074	186	25	characteristics	characteristic	NOUN
brj-23074	186	26	by	by	ADP
brj-23074	186	27	continent	continent	NOUN
brj-23074	186	28	.	.	PUNCT
brj-23074	187	1	in	in	ADP
brj-23074	187	2	the	the	DET
brj-23074	187	3	classification	classification	NOUN
brj-23074	187	4	of	of	ADP
brj-23074	187	5	the	the	DET
brj-23074	187	6	country	country	NOUN
brj-23074	187	7	of	of	ADP
brj-23074	187	8	manufacturing	manufacturing	NOUN
brj-23074	187	9	,	,	PUNCT
brj-23074	187	10	models	model	NOUN
brj-23074	187	11	trained	train	VERB
brj-23074	187	12	on	on	ADP
brj-23074	187	13	the	the	DET
brj-23074	187	14	ir	ir	PROPN
brj-23074	187	15	data	datum	NOUN
brj-23074	187	16	from	from	ADP
brj-23074	187	17	the	the	DET
brj-23074	187	18	selected	select	VERB
brj-23074	187	19	region	region	NOUN
brj-23074	187	20	of	of	ADP
brj-23074	187	21	1800	1800	NUM
brj-23074	187	22	to	to	ADP
brj-23074	187	23	1200	1200	NUM
brj-23074	187	24	cm−1	cm−1	NOUN
brj-23074	187	25	exhibited	exhibit	VERB
brj-23074	187	26	higher	high	ADJ
brj-23074	187	27	performance	performance	NOUN
brj-23074	187	28	,	,	PUNCT
brj-23074	187	29	with	with	ADP
brj-23074	187	30	all	all	DET
brj-23074	187	31	classes	class	NOUN
brj-23074	187	32	perfectly	perfectly	ADV
brj-23074	187	33	classified	classify	VERB
brj-23074	187	34	regardless	regardless	ADV
brj-23074	187	35	of	of	ADP
brj-23074	187	36	spectral	spectral	ADJ
brj-23074	187	37	preprocessing	preprocessing	NOUN
brj-23074	187	38	.	.	PUNCT
brj-23074	188	1	the	the	DET
brj-23074	188	2	classification	classification	NOUN
brj-23074	188	3	performance	performance	NOUN
brj-23074	188	4	of	of	ADP
brj-23074	188	5	the	the	DET
brj-23074	188	6	1d	1d	NUM
brj-23074	188	7	cnn	cnn	NOUN
brj-23074	188	8	models	model	NOUN
brj-23074	188	9	at	at	ADP
brj-23074	188	10	the	the	DET
brj-23074	188	11	product	product	NOUN
brj-23074	188	12	level	level	NOUN
brj-23074	188	13	was	be	AUX
brj-23074	188	14	lower	low	ADJ
brj-23074	188	15	than	than	ADP
brj-23074	188	16	that	that	PRON
brj-23074	188	17	at	at	ADP
brj-23074	188	18	other	other	ADJ
brj-23074	188	19	classification	classification	NOUN
brj-23074	188	20	levels	level	NOUN
brj-23074	188	21	.	.	PUNCT
brj-23074	189	1	models	model	NOUN
brj-23074	189	2	trained	train	VERB
brj-23074	189	3	on	on	ADP
brj-23074	189	4	the	the	DET
brj-23074	189	5	original	original	ADJ
brj-23074	189	6	and	and	CCONJ
brj-23074	189	7	secondderivative	secondderivative	ADJ
brj-23074	189	8	ir	ir	PROPN
brj-23074	189	9	spectra	spectra	PROPN
brj-23074	189	10	encompassing	encompass	VERB
brj-23074	189	11	the	the	DET
brj-23074	189	12	entire	entire	ADJ
brj-23074	189	13	spectra	spectra	NOUN
brj-23074	189	14	(	(	PUNCT
brj-23074	189	15	4000	4000	NUM
brj-23074	189	16	to	to	PART
brj-23074	189	17	400	400	NUM
brj-23074	189	18	cm−1	cm−1	NOUN
brj-23074	189	19	)	)	PUNCT
brj-23074	189	20	showed	show	VERB
brj-23074	189	21	the	the	DET
brj-23074	189	22	f1	f1	NOUN
brj-23074	189	23	scores	score	NOUN
brj-23074	189	24	of	of	ADP
brj-23074	189	25	0.788	0.788	NUM
brj-23074	189	26	and	and	CCONJ
brj-23074	189	27	0.818	0.818	NUM
brj-23074	189	28	,	,	PUNCT
brj-23074	189	29	respectively	respectively	ADV
brj-23074	189	30	.	.	PUNCT
brj-23074	190	1	these	these	DET
brj-23074	190	2	findings	finding	NOUN
brj-23074	190	3	were	be	AUX
brj-23074	190	4	attributed	attribute	VERB
brj-23074	190	5	to	to	ADP
brj-23074	190	6	the	the	DET
brj-23074	190	7	inherent	inherent	ADJ
brj-23074	190	8	challenges	challenge	NOUN
brj-23074	190	9	associated	associate	VERB
brj-23074	190	10	with	with	ADP
brj-23074	190	11	product	product	NOUN
brj-23074	190	12	-	-	PUNCT
brj-23074	190	13	level	level	NOUN
brj-23074	190	14	classification	classification	NOUN
brj-23074	190	15	,	,	PUNCT
brj-23074	190	16	which	which	PRON
brj-23074	190	17	involves	involve	VERB
brj-23074	190	18	a	a	DET
brj-23074	190	19	considerable	considerable	ADJ
brj-23074	190	20	number	number	NOUN
brj-23074	190	21	of	of	ADP
brj-23074	190	22	classes	class	NOUN
brj-23074	190	23	(	(	PUNCT
brj-23074	190	24	65	65	NUM
brj-23074	190	25	)	)	PUNCT
brj-23074	190	26	,	,	PUNCT
brj-23074	190	27	where	where	SCONJ
brj-23074	190	28	each	each	DET
brj-23074	190	29	class	class	NOUN
brj-23074	190	30	is	be	AUX
brj-23074	190	31	represented	represent	VERB
brj-23074	190	32	by	by	ADP
brj-23074	190	33	only	only	ADV
brj-23074	190	34	5	5	NUM
brj-23074	190	35	samples	sample	NOUN
brj-23074	190	36	.	.	PUNCT
brj-23074	191	1	this	this	DET
brj-23074	191	2	limitation	limitation	NOUN
brj-23074	191	3	prevented	prevent	VERB
brj-23074	191	4	the	the	DET
brj-23074	191	5	models	model	NOUN
brj-23074	191	6	from	from	ADP
brj-23074	191	7	adequately	adequately	ADV
brj-23074	191	8	learning	learn	VERB
brj-23074	191	9	the	the	DET
brj-23074	191	10	distinctive	distinctive	ADJ
brj-23074	191	11	features	feature	NOUN
brj-23074	191	12	of	of	ADP
brj-23074	191	13	each	each	DET
brj-23074	191	14	individual	individual	ADJ
brj-23074	191	15	class	class	NOUN
brj-23074	191	16	.	.	PUNCT
brj-23074	192	1	however	however	ADV
brj-23074	192	2	,	,	PUNCT
brj-23074	192	3	the	the	DET
brj-23074	192	4	use	use	NOUN
brj-23074	192	5	of	of	ADP
brj-23074	192	6	spectral	spectral	ADJ
brj-23074	192	7	data	datum	NOUN
brj-23074	192	8	from	from	ADP
brj-23074	192	9	the	the	DET
brj-23074	192	10	selected	select	VERB
brj-23074	192	11	region	region	NOUN
brj-23074	192	12	(	(	PUNCT
brj-23074	192	13	1800	1800	NUM
brj-23074	192	14	to	to	ADP
brj-23074	192	15	1200	1200	NUM
brj-23074	192	16	cm−1	cm−1	NOUN
brj-23074	192	17	)	)	PUNCT
brj-23074	192	18	,	,	PUNCT
brj-23074	192	19	notably	notably	ADV
brj-23074	192	20	improved	improve	VERB
brj-23074	192	21	the	the	DET
brj-23074	192	22	f1	f1	PROPN
brj-23074	192	23	scores	score	NOUN
brj-23074	192	24	,	,	PUNCT
brj-23074	192	25	which	which	PRON
brj-23074	192	26	reached	reach	VERB
brj-23074	192	27	0.939	0.939	NUM
brj-23074	192	28	and	and	CCONJ
brj-23074	192	29	0.980	0.980	NUM
brj-23074	192	30	,	,	PUNCT
brj-23074	192	31	respectively	respectively	ADV
brj-23074	192	32	.	.	PUNCT
brj-23074	193	1	these	these	PRON
brj-23074	193	2	results	result	VERB
brj-23074	193	3	peer	peer	NOUN
brj-23074	193	4	-	-	PUNCT
brj-23074	193	5	reviewed	review	VERB
brj-23074	193	6	article	article	NOUN
brj-23074	193	7	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	194	1	hwang	hwang	PROPN
brj-23074	194	2	et	et	PROPN
brj-23074	194	3	al	al	PROPN
brj-23074	194	4	.	.	PROPN
brj-23074	194	5	(	(	PUNCT
brj-23074	194	6	2024	2024	NUM
brj-23074	194	7	)	)	PUNCT
brj-23074	194	8	.	.	PUNCT
brj-23074	195	1	“	"	PUNCT
brj-23074	195	2	nir	nir	X
brj-23074	195	3	for	for	ADP
brj-23074	195	4	paper	paper	NOUN
brj-23074	195	5	classification	classification	NOUN
brj-23074	195	6	,	,	PUNCT
brj-23074	195	7	”	"	PUNCT
brj-23074	195	8	bioresources	bioresource	NOUN
brj-23074	195	9	19(1	19(1	NUM
brj-23074	195	10	)	)	PUNCT
brj-23074	195	11	,	,	PUNCT
brj-23074	195	12	1633	1633	NUM
brj-23074	195	13	-	-	SYM
brj-23074	195	14	1651	1651	NUM
brj-23074	195	15	.	.	PUNCT
brj-23074	196	1	1644	1644	NUM
brj-23074	196	2	suggest	suggest	VERB
brj-23074	196	3	that	that	SCONJ
brj-23074	196	4	the	the	DET
brj-23074	196	5	selected	select	VERB
brj-23074	196	6	spectral	spectral	ADJ
brj-23074	196	7	region	region	NOUN
brj-23074	196	8	is	be	AUX
brj-23074	196	9	well	well	ADV
brj-23074	196	10	-	-	PUNCT
brj-23074	196	11	suited	suit	VERB
brj-23074	196	12	for	for	ADP
brj-23074	196	13	the	the	DET
brj-23074	196	14	characterization	characterization	NOUN
brj-23074	196	15	of	of	ADP
brj-23074	196	16	printing	print	VERB
brj-23074	196	17	paper	paper	NOUN
brj-23074	196	18	samples	sample	NOUN
brj-23074	196	19	.	.	PUNCT
brj-23074	197	1	fig	fig	NOUN
brj-23074	197	2	.	.	PUNCT
brj-23074	198	1	7	7	X
brj-23074	198	2	.	.	NUM
brj-23074	198	3	weighted	weight	VERB
brj-23074	198	4	f1	f1	PROPN
brj-23074	198	5	scores	score	NOUN
brj-23074	198	6	of	of	ADP
brj-23074	198	7	the	the	DET
brj-23074	198	8	1d	1d	NUM
brj-23074	198	9	cnn	cnn	NOUN
brj-23074	198	10	models	model	NOUN
brj-23074	198	11	for	for	ADP
brj-23074	198	12	the	the	DET
brj-23074	198	13	classification	classification	NOUN
brj-23074	198	14	of	of	ADP
brj-23074	198	15	printing	printing	NOUN
brj-23074	198	16	paper	paper	NOUN
brj-23074	198	17	manufacturing	manufacture	VERB
brj-23074	198	18	continents	continent	NOUN
brj-23074	198	19	(	(	PUNCT
brj-23074	198	20	a	a	X
brj-23074	198	21	)	)	PUNCT
brj-23074	198	22	,	,	PUNCT
brj-23074	198	23	countries	country	NOUN
brj-23074	198	24	(	(	PUNCT
brj-23074	198	25	b	b	NOUN
brj-23074	198	26	)	)	PUNCT
brj-23074	198	27	,	,	PUNCT
brj-23074	198	28	and	and	CCONJ
brj-23074	198	29	products	product	NOUN
brj-23074	198	30	(	(	PUNCT
brj-23074	198	31	c	c	NOUN
brj-23074	198	32	)	)	PUNCT
brj-23074	198	33	table	table	NOUN
brj-23074	198	34	3	3	NUM
brj-23074	198	35	.	.	PUNCT
brj-23074	198	36	performance	performance	NOUN
brj-23074	198	37	of	of	ADP
brj-23074	198	38	the	the	DET
brj-23074	198	39	1d	1d	NUM
brj-23074	198	40	cnn	cnn	NOUN
brj-23074	198	41	models	model	NOUN
brj-23074	198	42	in	in	ADP
brj-23074	198	43	printing	print	VERB
brj-23074	198	44	paper	paper	NOUN
brj-23074	198	45	classification	classification	NOUN
brj-23074	198	46	and	and	CCONJ
brj-23074	198	47	their	their	PRON
brj-23074	198	48	optimal	optimal	ADJ
brj-23074	198	49	hyperparameter	hyperparameter	NOUN
brj-23074	198	50	combinations	combination	NOUN
brj-23074	198	51	cls	cls	NOUN
brj-23074	198	52	level	level	NOUN
brj-23074	198	53	ir	ir	PROPN
brj-23074	198	54	spectrum	spectrum	NOUN
brj-23074	198	55	f1	f1	PROPN
brj-23074	198	56	score	score	NOUN
brj-23074	198	57	hyperparameters	hyperparameter	NOUN
brj-23074	198	58	wn	wn	INTJ
brj-23074	198	59	(	(	PUNCT
brj-23074	198	60	cm−1	cm−1	NOUN
brj-23074	198	61	)	)	PUNCT
brj-23074	198	62	preproc	preproc	NOUN
brj-23074	198	63	.	.	PUNCT
brj-23074	199	1	kernel	kernel	PROPN
brj-23074	199	2	size	size	NOUN
brj-23074	199	3	filter	filter	NOUN
brj-23074	199	4	pool	pool	NOUN
brj-23074	199	5	size	size	NOUN
brj-23074	199	6	dense	dense	ADJ
brj-23074	199	7	units	unit	NOUN
brj-23074	199	8	dropout	dropout	ADP
brj-23074	199	9	rate	rate	NOUN
brj-23074	199	10	learning	learning	NOUN
brj-23074	199	11	rate	rate	NOUN
brj-23074	199	12	optimizer	optimizer	NOUN
brj-23074	199	13	continent	continent	NOUN
brj-23074	199	14	4000	4000	NUM
brj-23074	199	15	–	–	PUNCT
brj-23074	199	16	400	400	NUM
brj-23074	199	17	original	original	ADJ
brj-23074	199	18	0.967	0.967	NUM
brj-23074	199	19	3	3	NUM
brj-23074	199	20	16	16	NUM
brj-23074	199	21	2	2	NUM
brj-23074	199	22	128	128	NUM
brj-23074	199	23	0.5	0.5	NUM
brj-23074	199	24	0.0001	0.0001	NUM
brj-23074	199	25	rmsprop	rmsprop	NOUN
brj-23074	199	26	second	second	ADJ
brj-23074	199	27	deriv	deriv	NOUN
brj-23074	199	28	.	.	PUNCT
brj-23074	200	1	0.984	0.984	NUM
brj-23074	200	2	3	3	NUM
brj-23074	200	3	16	16	NUM
brj-23074	200	4	2	2	NUM
brj-23074	200	5	256	256	NUM
brj-23074	200	6	0.3	0.3	NUM
brj-23074	200	7	0.01	0.01	NUM
brj-23074	200	8	rmsprop	rmsprop	NOUN
brj-23074	200	9	1800	1800	NUM
brj-23074	200	10	–	–	PUNCT
brj-23074	200	11	1200	1200	NUM
brj-23074	200	12	original	original	ADJ
brj-23074	200	13	0.967	0.967	NUM
brj-23074	200	14	3	3	NUM
brj-23074	200	15	16	16	NUM
brj-23074	200	16	2	2	NUM
brj-23074	200	17	128	128	NUM
brj-23074	200	18	0.3	0.3	NUM
brj-23074	200	19	0.0001	0.0001	NUM
brj-23074	200	20	rmsprop	rmsprop	NOUN
brj-23074	200	21	second	second	ADJ
brj-23074	200	22	deriv	deriv	NOUN
brj-23074	200	23	.	.	PUNCT
brj-23074	201	1	1.000	1.000	NUM
brj-23074	201	2	3	3	NUM
brj-23074	201	3	16	16	NUM
brj-23074	201	4	2	2	NUM
brj-23074	201	5	128	128	NUM
brj-23074	201	6	0.5	0.5	NUM
brj-23074	201	7	0.0001	0.0001	NUM
brj-23074	201	8	adam	adam	PROPN
brj-23074	201	9	country	country	NOUN
brj-23074	201	10	4000	4000	NUM
brj-23074	201	11	–	–	PUNCT
brj-23074	201	12	400	400	NUM
brj-23074	201	13	original	original	ADJ
brj-23074	201	14	0.970	0.970	NUM
brj-23074	201	15	7	7	NUM
brj-23074	201	16	32	32	NUM
brj-23074	201	17	4	4	NUM
brj-23074	201	18	128	128	NUM
brj-23074	201	19	0.3	0.3	NUM
brj-23074	201	20	0.0001	0.0001	NUM
brj-23074	201	21	adam	adam	PROPN
brj-23074	201	22	second	second	ADJ
brj-23074	201	23	deriv	deriv	NOUN
brj-23074	201	24	.	.	PUNCT
brj-23074	202	1	0.984	0.984	NUM
brj-23074	202	2	5	5	NUM
brj-23074	202	3	16	16	NUM
brj-23074	202	4	4	4	NUM
brj-23074	202	5	256	256	NUM
brj-23074	202	6	0.3	0.3	NUM
brj-23074	202	7	0.0001	0.0001	NUM
brj-23074	202	8	rmsprop	rmsprop	NOUN
brj-23074	202	9	1800	1800	NUM
brj-23074	202	10	–	–	PUNCT
brj-23074	202	11	1200	1200	NUM
brj-23074	202	12	original	original	ADJ
brj-23074	202	13	1.000	1.000	NUM
brj-23074	202	14	7	7	NUM
brj-23074	202	15	16	16	NUM
brj-23074	202	16	2	2	NUM
brj-23074	202	17	128	128	NUM
brj-23074	202	18	0.5	0.5	NUM
brj-23074	202	19	0.001	0.001	NUM
brj-23074	202	20	rmsprop	rmsprop	NOUN
brj-23074	202	21	second	second	ADJ
brj-23074	202	22	deriv	deriv	NOUN
brj-23074	202	23	.	.	PUNCT
brj-23074	203	1	1.000	1.000	NUM
brj-23074	203	2	3	3	NUM
brj-23074	203	3	16	16	NUM
brj-23074	203	4	2	2	NUM
brj-23074	203	5	128	128	NUM
brj-23074	203	6	0.5	0.5	NUM
brj-23074	203	7	0.0001	0.0001	NUM
brj-23074	203	8	rmsprop	rmsprop	NOUN
brj-23074	203	9	product	product	NOUN
brj-23074	203	10	4000	4000	NUM
brj-23074	203	11	–	–	PUNCT
brj-23074	203	12	400	400	NUM
brj-23074	203	13	original	original	ADJ
brj-23074	203	14	0.788	0.788	NUM
brj-23074	203	15	3	3	NUM
brj-23074	203	16	64	64	NUM
brj-23074	203	17	2	2	NUM
brj-23074	203	18	256	256	NUM
brj-23074	203	19	0.5	0.5	NUM
brj-23074	203	20	0.0001	0.0001	NUM
brj-23074	203	21	adam	adam	PROPN
brj-23074	203	22	second	second	ADJ
brj-23074	203	23	deriv	deriv	NOUN
brj-23074	203	24	.	.	PUNCT
brj-23074	204	1	0.818	0.818	NUM
brj-23074	204	2	7	7	NUM
brj-23074	204	3	32	32	NUM
brj-23074	204	4	4	4	NUM
brj-23074	204	5	256	256	NUM
brj-23074	204	6	0.5	0.5	NUM
brj-23074	204	7	0.001	0.001	NUM
brj-23074	204	8	rmsprop	rmsprop	NOUN
brj-23074	204	9	1800	1800	NUM
brj-23074	204	10	–	–	PUNCT
brj-23074	204	11	1200	1200	NUM
brj-23074	204	12	original	original	ADJ
brj-23074	204	13	0.939	0.939	NUM
brj-23074	204	14	7	7	NUM
brj-23074	204	15	32	32	NUM
brj-23074	204	16	4	4	NUM
brj-23074	204	17	256	256	NUM
brj-23074	204	18	0.3	0.3	NUM
brj-23074	204	19	0.001	0.001	NUM
brj-23074	204	20	rmsprop	rmsprop	NOUN
brj-23074	204	21	second	second	ADJ
brj-23074	204	22	deriv	deriv	NOUN
brj-23074	204	23	.	.	PUNCT
brj-23074	205	1	0.980	0.980	NUM
brj-23074	205	2	5	5	NUM
brj-23074	205	3	64	64	NUM
brj-23074	205	4	4	4	NUM
brj-23074	205	5	256	256	NUM
brj-23074	205	6	0.5	0.5	NUM
brj-23074	205	7	0.0001	0.0001	NUM
brj-23074	205	8	rmsprop	rmsprop	NOUN
brj-23074	205	9	notes	note	NOUN
brj-23074	205	10	:	:	PUNCT
brj-23074	205	11	cls	cls	NOUN
brj-23074	205	12	,	,	PUNCT
brj-23074	205	13	classification	classification	NOUN
brj-23074	205	14	;	;	PUNCT
brj-23074	205	15	ir	ir	PROPN
brj-23074	205	16	,	,	PUNCT
brj-23074	205	17	infrared	infrare	VERB
brj-23074	205	18	;	;	PUNCT
brj-23074	205	19	wn	wn	PROPN
brj-23074	205	20	,	,	PUNCT
brj-23074	205	21	wavenumber	wavenumber	NOUN
brj-23074	205	22	;	;	PUNCT
brj-23074	205	23	preproc	preproc	NOUN
brj-23074	205	24	.	.	PROPN
brj-23074	205	25	,	,	PUNCT
brj-23074	205	26	preprocessing	preprocessing	NOUN
brj-23074	205	27	;	;	PUNCT
brj-23074	205	28	second	second	ADJ
brj-23074	205	29	deriv	deriv	NOUN
brj-23074	205	30	.	.	PUNCT
brj-23074	205	31	,	,	PUNCT
brj-23074	205	32	second	second	ADJ
brj-23074	205	33	derivative	derivative	NOUN
brj-23074	205	34	;	;	PUNCT
brj-23074	205	35	adam	adam	PROPN
brj-23074	205	36	,	,	PUNCT
brj-23074	205	37	adaptive	adaptive	ADJ
brj-23074	205	38	moment	moment	NOUN
brj-23074	205	39	estimation	estimation	NOUN
brj-23074	205	40	;	;	PUNCT
brj-23074	205	41	rmsprop	rmsprop	NOUN
brj-23074	205	42	,	,	PUNCT
brj-23074	205	43	root	root	NOUN
brj-23074	205	44	mean	mean	VERB
brj-23074	205	45	squared	square	VERB
brj-23074	205	46	propagation	propagation	NOUN
brj-23074	205	47	.	.	PUNCT
brj-23074	206	1	in	in	ADP
brj-23074	206	2	the	the	DET
brj-23074	206	3	classification	classification	NOUN
brj-23074	206	4	across	across	ADP
brj-23074	206	5	all	all	DET
brj-23074	206	6	tested	test	VERB
brj-23074	206	7	levels	level	NOUN
brj-23074	206	8	,	,	PUNCT
brj-23074	206	9	the	the	DET
brj-23074	206	10	application	application	NOUN
brj-23074	206	11	of	of	ADP
brj-23074	206	12	the	the	DET
brj-23074	206	13	second	second	ADJ
brj-23074	206	14	derivative	derivative	NOUN
brj-23074	206	15	and	and	CCONJ
brj-23074	206	16	narrowing	narrowing	NOUN
brj-23074	206	17	of	of	ADP
brj-23074	206	18	the	the	DET
brj-23074	206	19	spectral	spectral	ADJ
brj-23074	206	20	region	region	NOUN
brj-23074	206	21	improved	improve	VERB
brj-23074	206	22	the	the	DET
brj-23074	206	23	classification	classification	NOUN
brj-23074	206	24	performance	performance	NOUN
brj-23074	206	25	of	of	ADP
brj-23074	206	26	the	the	DET
brj-23074	206	27	1d	1d	NUM
brj-23074	206	28	cnn	cnn	NOUN
brj-23074	206	29	models	model	NOUN
brj-23074	206	30	.	.	PUNCT
brj-23074	207	1	these	these	DET
brj-23074	207	2	preprocessing	preprocesse	VERB
brj-23074	207	3	techniques	technique	NOUN
brj-23074	207	4	,	,	PUNCT
brj-23074	207	5	particularly	particularly	ADV
brj-23074	207	6	the	the	DET
brj-23074	207	7	narrowing	narrowing	NOUN
brj-23074	207	8	of	of	ADP
brj-23074	207	9	the	the	DET
brj-23074	207	10	spectral	spectral	ADJ
brj-23074	207	11	peer	peer	NOUN
brj-23074	207	12	-	-	PUNCT
brj-23074	207	13	reviewed	review	VERB
brj-23074	207	14	article	article	NOUN
brj-23074	207	15	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	207	16	hwang	hwang	PROPN
brj-23074	207	17	et	et	PROPN
brj-23074	207	18	al	al	PROPN
brj-23074	207	19	.	.	PROPN
brj-23074	208	1	(	(	PUNCT
brj-23074	208	2	2024	2024	NUM
brj-23074	208	3	)	)	PUNCT
brj-23074	208	4	.	.	PUNCT
brj-23074	209	1	“	"	PUNCT
brj-23074	209	2	nir	nir	X
brj-23074	209	3	for	for	ADP
brj-23074	209	4	paper	paper	NOUN
brj-23074	209	5	classification	classification	NOUN
brj-23074	209	6	,	,	PUNCT
brj-23074	209	7	”	"	PUNCT
brj-23074	209	8	bioresources	bioresource	NOUN
brj-23074	209	9	19(1	19(1	NUM
brj-23074	209	10	)	)	PUNCT
brj-23074	209	11	,	,	PUNCT
brj-23074	209	12	1633	1633	NUM
brj-23074	209	13	-	-	SYM
brj-23074	209	14	1651	1651	NUM
brj-23074	209	15	.	.	PUNCT
brj-23074	210	1	1645	1645	NUM
brj-23074	210	2	region	region	NOUN
brj-23074	210	3	,	,	PUNCT
brj-23074	210	4	improved	improve	VERB
brj-23074	210	5	the	the	DET
brj-23074	210	6	performance	performance	NOUN
brj-23074	210	7	of	of	ADP
brj-23074	210	8	the	the	DET
brj-23074	210	9	models	model	NOUN
brj-23074	210	10	in	in	ADP
brj-23074	210	11	various	various	ADJ
brj-23074	210	12	classification	classification	NOUN
brj-23074	210	13	problems	problem	NOUN
brj-23074	210	14	for	for	ADP
brj-23074	210	15	materials	material	NOUN
brj-23074	210	16	such	such	ADJ
brj-23074	210	17	as	as	ADP
brj-23074	210	18	paper	paper	NOUN
brj-23074	210	19	and	and	CCONJ
brj-23074	210	20	wood	wood	NOUN
brj-23074	210	21	.	.	PUNCT
brj-23074	211	1	the	the	DET
brj-23074	211	2	effectiveness	effectiveness	NOUN
brj-23074	211	3	of	of	ADP
brj-23074	211	4	these	these	DET
brj-23074	211	5	preprocessing	preprocessing	NOUN
brj-23074	211	6	techniques	technique	NOUN
brj-23074	211	7	was	be	AUX
brj-23074	211	8	reaffirmed	reaffirm	VERB
brj-23074	211	9	in	in	ADP
brj-23074	211	10	this	this	DET
brj-23074	211	11	study	study	NOUN
brj-23074	211	12	.	.	PUNCT
brj-23074	212	1	misclassified	misclassifie	VERB
brj-23074	212	2	class	class	NOUN
brj-23074	212	3	in	in	ADP
brj-23074	212	4	the	the	DET
brj-23074	212	5	classification	classification	NOUN
brj-23074	212	6	of	of	ADP
brj-23074	212	7	the	the	DET
brj-23074	212	8	continent	continent	NOUN
brj-23074	212	9	of	of	ADP
brj-23074	212	10	manufacturing	manufacturing	NOUN
brj-23074	212	11	,	,	PUNCT
brj-23074	212	12	some	some	DET
brj-23074	212	13	samples	sample	NOUN
brj-23074	212	14	from	from	ADP
brj-23074	212	15	europe	europe	PROPN
brj-23074	212	16	were	be	AUX
brj-23074	212	17	incorrectly	incorrectly	ADV
brj-23074	212	18	classified	classify	VERB
brj-23074	212	19	as	as	ADP
brj-23074	212	20	originating	originate	VERB
brj-23074	212	21	from	from	ADP
brj-23074	212	22	asia	asia	PROPN
brj-23074	212	23	or	or	CCONJ
brj-23074	212	24	north	north	PROPN
brj-23074	212	25	america	america	PROPN
brj-23074	212	26	.	.	PUNCT
brj-23074	213	1	regarding	regard	VERB
brj-23074	213	2	country	country	NOUN
brj-23074	213	3	classification	classification	NOUN
brj-23074	213	4	,	,	PUNCT
brj-23074	213	5	models	model	NOUN
brj-23074	213	6	trained	train	VERB
brj-23074	213	7	on	on	ADP
brj-23074	213	8	the	the	DET
brj-23074	213	9	original	original	ADJ
brj-23074	213	10	ir	ir	PROPN
brj-23074	213	11	spectra	spectra	NOUN
brj-23074	213	12	misclassified	misclassifie	VERB
brj-23074	213	13	certain	certain	ADJ
brj-23074	213	14	samples	sample	NOUN
brj-23074	213	15	from	from	ADP
brj-23074	213	16	brazil	brazil	PROPN
brj-23074	213	17	and	and	CCONJ
brj-23074	213	18	the	the	DET
brj-23074	213	19	united	united	PROPN
brj-23074	213	20	states	states	PROPN
brj-23074	213	21	as	as	ADP
brj-23074	213	22	originating	originate	VERB
brj-23074	213	23	from	from	ADP
brj-23074	213	24	austria	austria	PROPN
brj-23074	213	25	and	and	CCONJ
brj-23074	213	26	finland	finland	PROPN
brj-23074	213	27	,	,	PUNCT
brj-23074	213	28	respectively	respectively	ADV
brj-23074	213	29	.	.	PUNCT
brj-23074	214	1	in	in	ADP
brj-23074	214	2	the	the	DET
brj-23074	214	3	case	case	NOUN
brj-23074	214	4	of	of	ADP
brj-23074	214	5	the	the	DET
brj-23074	214	6	second	second	ADJ
brj-23074	214	7	-	-	PUNCT
brj-23074	214	8	derivative	derivative	ADJ
brj-23074	214	9	spectra	spectra	NOUN
brj-23074	214	10	,	,	PUNCT
brj-23074	214	11	one	one	NUM
brj-23074	214	12	sample	sample	NOUN
brj-23074	214	13	from	from	ADP
brj-23074	214	14	korea	korea	PROPN
brj-23074	214	15	was	be	AUX
brj-23074	214	16	misclassified	misclassifie	VERB
brj-23074	214	17	as	as	ADP
brj-23074	214	18	originating	originate	VERB
brj-23074	214	19	from	from	ADP
brj-23074	214	20	china	china	PROPN
brj-23074	214	21	.	.	PUNCT
brj-23074	215	1	in	in	ADP
brj-23074	215	2	the	the	DET
brj-23074	215	3	score	score	NOUN
brj-23074	215	4	plots	plot	NOUN
brj-23074	215	5	(	(	PUNCT
brj-23074	215	6	fig	fig	NOUN
brj-23074	215	7	.	.	PUNCT
brj-23074	215	8	4	4	NUM
brj-23074	215	9	)	)	PUNCT
brj-23074	215	10	,	,	PUNCT
brj-23074	215	11	misclassified	misclassifie	VERB
brj-23074	215	12	samples	sample	NOUN
brj-23074	215	13	are	be	AUX
brj-23074	215	14	positioned	position	VERB
brj-23074	215	15	close	close	ADV
brj-23074	215	16	to	to	ADP
brj-23074	215	17	the	the	DET
brj-23074	215	18	samples	sample	NOUN
brj-23074	215	19	of	of	ADP
brj-23074	215	20	the	the	DET
brj-23074	215	21	countries	country	NOUN
brj-23074	215	22	to	to	PART
brj-23074	215	23	which	which	PRON
brj-23074	215	24	they	they	PRON
brj-23074	215	25	were	be	AUX
brj-23074	215	26	erroneously	erroneously	ADV
brj-23074	215	27	assigned	assign	VERB
brj-23074	215	28	,	,	PUNCT
brj-23074	215	29	suggesting	suggest	VERB
brj-23074	215	30	their	their	PRON
brj-23074	215	31	spectral	spectral	ADJ
brj-23074	215	32	similarities	similarity	NOUN
brj-23074	215	33	.	.	PUNCT
brj-23074	216	1	model	model	PROPN
brj-23074	216	2	comparison	comparison	NOUN
brj-23074	216	3	the	the	DET
brj-23074	216	4	classification	classification	NOUN
brj-23074	216	5	performance	performance	NOUN
brj-23074	216	6	of	of	ADP
brj-23074	216	7	the	the	DET
brj-23074	216	8	1d	1d	NUM
brj-23074	216	9	cnn	cnn	NOUN
brj-23074	216	10	models	model	NOUN
brj-23074	216	11	for	for	ADP
brj-23074	216	12	printing	print	VERB
brj-23074	216	13	paper	paper	NOUN
brj-23074	216	14	classification	classification	NOUN
brj-23074	216	15	was	be	AUX
brj-23074	216	16	compared	compare	VERB
brj-23074	216	17	with	with	ADP
brj-23074	216	18	that	that	PRON
brj-23074	216	19	of	of	ADP
brj-23074	216	20	the	the	DET
brj-23074	216	21	fnn	fnn	NOUN
brj-23074	216	22	and	and	CCONJ
brj-23074	216	23	svm	svm	ADJ
brj-23074	216	24	models	model	NOUN
brj-23074	216	25	(	(	PUNCT
brj-23074	216	26	table	table	NOUN
brj-23074	216	27	4	4	NUM
brj-23074	216	28	)	)	PUNCT
brj-23074	216	29	.	.	PUNCT
brj-23074	217	1	across	across	ADP
brj-23074	217	2	all	all	DET
brj-23074	217	3	tested	test	VERB
brj-23074	217	4	classification	classification	NOUN
brj-23074	217	5	levels	level	NOUN
brj-23074	217	6	and	and	CCONJ
brj-23074	217	7	datasets	dataset	NOUN
brj-23074	217	8	,	,	PUNCT
brj-23074	217	9	the	the	DET
brj-23074	217	10	1d	1d	NUM
brj-23074	217	11	cnn	cnn	NOUN
brj-23074	217	12	models	model	NOUN
brj-23074	217	13	outperformed	outperform	VERB
brj-23074	217	14	the	the	DET
brj-23074	217	15	reference	reference	NOUN
brj-23074	217	16	models	model	NOUN
brj-23074	217	17	.	.	PUNCT
brj-23074	218	1	among	among	ADP
brj-23074	218	2	the	the	DET
brj-23074	218	3	studied	study	VERB
brj-23074	218	4	models	model	NOUN
brj-23074	218	5	,	,	PUNCT
brj-23074	218	6	the	the	DET
brj-23074	218	7	svm	svm	ADJ
brj-23074	218	8	models	model	NOUN
brj-23074	218	9	exhibited	exhibit	VERB
brj-23074	218	10	the	the	DET
brj-23074	218	11	lowest	low	ADJ
brj-23074	218	12	classification	classification	NOUN
brj-23074	218	13	performance	performance	NOUN
brj-23074	218	14	.	.	PUNCT
brj-23074	219	1	although	although	SCONJ
brj-23074	219	2	the	the	DET
brj-23074	219	3	fnn	fnn	PROPN
brj-23074	219	4	models	model	NOUN
brj-23074	219	5	showed	show	VERB
brj-23074	219	6	performance	performance	NOUN
brj-23074	219	7	close	close	ADV
brj-23074	219	8	to	to	ADP
brj-23074	219	9	that	that	PRON
brj-23074	219	10	of	of	ADP
brj-23074	219	11	the	the	DET
brj-23074	219	12	1d	1d	NUM
brj-23074	219	13	cnn	cnn	NOUN
brj-23074	219	14	models	model	NOUN
brj-23074	219	15	in	in	ADP
brj-23074	219	16	the	the	DET
brj-23074	219	17	continent	continent	NOUN
brj-23074	219	18	-	-	PUNCT
brj-23074	219	19	level	level	NOUN
brj-23074	219	20	classification	classification	NOUN
brj-23074	219	21	,	,	PUNCT
brj-23074	219	22	as	as	SCONJ
brj-23074	219	23	the	the	DET
brj-23074	219	24	classification	classification	NOUN
brj-23074	219	25	level	level	NOUN
brj-23074	219	26	became	become	VERB
brj-23074	219	27	more	more	ADV
brj-23074	219	28	granular	granular	ADJ
brj-23074	219	29	,	,	PUNCT
brj-23074	219	30	the	the	DET
brj-23074	219	31	performance	performance	NOUN
brj-23074	219	32	gap	gap	NOUN
brj-23074	219	33	between	between	ADP
brj-23074	219	34	the	the	DET
brj-23074	219	35	two	two	NUM
brj-23074	219	36	model	model	NOUN
brj-23074	219	37	types	type	NOUN
brj-23074	219	38	widened	widen	VERB
brj-23074	219	39	.	.	PUNCT
brj-23074	220	1	table	table	NOUN
brj-23074	220	2	4	4	NUM
brj-23074	220	3	.	.	PUNCT
brj-23074	221	1	performance	performance	NOUN
brj-23074	221	2	comparison	comparison	NOUN
brj-23074	221	3	for	for	ADP
brj-23074	221	4	the	the	DET
brj-23074	221	5	1d	1d	NUM
brj-23074	221	6	cnn	cnn	PROPN
brj-23074	221	7	,	,	PUNCT
brj-23074	221	8	fnn	fnn	NOUN
brj-23074	221	9	,	,	PUNCT
brj-23074	221	10	and	and	CCONJ
brj-23074	221	11	svm	svm	ADJ
brj-23074	221	12	models	model	NOUN
brj-23074	221	13	in	in	ADP
brj-23074	221	14	printing	print	VERB
brj-23074	221	15	paper	paper	NOUN
brj-23074	221	16	classification	classification	NOUN
brj-23074	221	17	classification	classification	NOUN
brj-23074	221	18	level	level	NOUN
brj-23074	221	19	wavenumber	wavenumber	NOUN
brj-23074	221	20	(	(	PUNCT
brj-23074	221	21	cm−1	cm−1	NOUN
brj-23074	221	22	)	)	PUNCT
brj-23074	221	23	preprocessing	preprocessing	NOUN
brj-23074	221	24	f1	f1	NOUN
brj-23074	221	25	score	score	NOUN
brj-23074	221	26	1d	1d	NUM
brj-23074	221	27	cnn	cnn	PROPN
brj-23074	221	28	fnn	fnn	PROPN
brj-23074	221	29	svm	svm	PROPN
brj-23074	221	30	continent	continent	PROPN
brj-23074	221	31	4000–400	4000–400	PROPN
brj-23074	221	32	original	original	VERB
brj-23074	221	33	0.967	0.967	NUM
brj-23074	221	34	0.903	0.903	NUM
brj-23074	221	35	0.592	0.592	NUM
brj-23074	221	36	second	second	ADJ
brj-23074	221	37	derivative	derivative	NOUN
brj-23074	221	38	0.984	0.984	NUM
brj-23074	221	39	0.923	0.923	NUM
brj-23074	221	40	0.592	0.592	NUM
brj-23074	221	41	1800–1200	1800–1200	NUM
brj-23074	221	42	original	original	ADJ
brj-23074	221	43	0.967	0.967	NUM
brj-23074	221	44	0.949	0.949	NUM
brj-23074	221	45	0.934	0.934	NUM
brj-23074	221	46	second	second	ADJ
brj-23074	221	47	derivative	derivative	ADJ
brj-23074	221	48	1.000	1.000	NUM
brj-23074	221	49	1.000	1.000	NUM
brj-23074	221	50	0.920	0.920	NUM
brj-23074	221	51	country	country	NOUN
brj-23074	221	52	4000–400	4000–400	NOUN
brj-23074	221	53	original	original	ADJ
brj-23074	221	54	0.970	0.970	NUM
brj-23074	221	55	0.837	0.837	NUM
brj-23074	221	56	0.268	0.268	NUM
brj-23074	221	57	second	second	ADJ
brj-23074	221	58	derivative	derivative	NOUN
brj-23074	221	59	0.984	0.984	NUM
brj-23074	221	60	0.872	0.872	NUM
brj-23074	221	61	0.268	0.268	NUM
brj-23074	221	62	1800–1200	1800–1200	NUM
brj-23074	221	63	original	original	ADJ
brj-23074	221	64	1.000	1.000	NUM
brj-23074	221	65	0.910	0.910	NUM
brj-23074	221	66	0.917	0.917	NUM
brj-23074	221	67	second	second	ADJ
brj-23074	221	68	derivative	derivative	ADJ
brj-23074	221	69	1.000	1.000	NUM
brj-23074	221	70	0.985	0.985	NUM
brj-23074	221	71	0.888	0.888	NUM
brj-23074	221	72	product	product	NOUN
brj-23074	221	73	4000–400	4000–400	NOUN
brj-23074	221	74	original	original	ADJ
brj-23074	221	75	0.788	0.788	NUM
brj-23074	221	76	0.654	0.654	NUM
brj-23074	221	77	0.551	0.551	NUM
brj-23074	221	78	second	second	ADJ
brj-23074	221	79	derivative	derivative	NOUN
brj-23074	221	80	0.818	0.818	NUM
brj-23074	221	81	0.616	0.616	NUM
brj-23074	221	82	0.507	0.507	NUM
brj-23074	221	83	1800–1200	1800–1200	NUM
brj-23074	221	84	original	original	ADJ
brj-23074	221	85	0.939	0.939	NUM
brj-23074	221	86	0.813	0.813	NUM
brj-23074	221	87	0.788	0.788	NUM
brj-23074	221	88	second	second	ADJ
brj-23074	221	89	derivative	derivative	ADJ
brj-23074	221	90	0.980	0.980	NUM
brj-23074	221	91	0.904	0.904	NUM
brj-23074	221	92	0.914	0.914	NUM
brj-23074	221	93	1d	1d	NUM
brj-23074	221	94	cnn	cnn	NOUN
brj-23074	221	95	,	,	PUNCT
brj-23074	221	96	one	one	NUM
brj-23074	221	97	-	-	PUNCT
brj-23074	221	98	dimensional	dimensional	ADJ
brj-23074	221	99	convolutional	convolutional	ADJ
brj-23074	221	100	neural	neural	ADJ
brj-23074	221	101	network	network	NOUN
brj-23074	221	102	;	;	PUNCT
brj-23074	221	103	fnn	fnn	NOUN
brj-23074	221	104	,	,	PUNCT
brj-23074	221	105	feed	feed	NOUN
brj-23074	221	106	-	-	PUNCT
brj-23074	221	107	forward	forward	NOUN
brj-23074	221	108	neural	neural	ADJ
brj-23074	221	109	network	network	NOUN
brj-23074	221	110	;	;	PUNCT
brj-23074	221	111	svm	svm	PROPN
brj-23074	221	112	,	,	PUNCT
brj-23074	221	113	support	support	NOUN
brj-23074	221	114	vector	vector	NOUN
brj-23074	221	115	machine	machine	NOUN
brj-23074	221	116	.	.	PUNCT
brj-23074	222	1	peer	peer	NOUN
brj-23074	222	2	-	-	PUNCT
brj-23074	222	3	reviewed	review	VERB
brj-23074	222	4	article	article	NOUN
brj-23074	222	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	222	6	hwang	hwang	PROPN
brj-23074	222	7	et	et	PROPN
brj-23074	222	8	al	al	PROPN
brj-23074	222	9	.	.	PROPN
brj-23074	222	10	(	(	PUNCT
brj-23074	222	11	2024	2024	NUM
brj-23074	222	12	)	)	PUNCT
brj-23074	222	13	.	.	PUNCT
brj-23074	223	1	“	"	PUNCT
brj-23074	223	2	nir	nir	X
brj-23074	223	3	for	for	ADP
brj-23074	223	4	paper	paper	NOUN
brj-23074	223	5	classification	classification	NOUN
brj-23074	223	6	,	,	PUNCT
brj-23074	223	7	”	"	PUNCT
brj-23074	223	8	bioresources	bioresource	NOUN
brj-23074	223	9	19(1	19(1	NUM
brj-23074	223	10	)	)	PUNCT
brj-23074	223	11	,	,	PUNCT
brj-23074	223	12	1633	1633	NUM
brj-23074	223	13	-	-	SYM
brj-23074	223	14	1651	1651	NUM
brj-23074	223	15	.	.	PUNCT
brj-23074	224	1	1646	1646	NUM
brj-23074	224	2	the	the	DET
brj-23074	224	3	second	second	ADJ
brj-23074	224	4	-	-	PUNCT
brj-23074	224	5	derivative	derivative	ADJ
brj-23074	224	6	transformation	transformation	NOUN
brj-23074	224	7	and	and	CCONJ
brj-23074	224	8	spectral	spectral	ADJ
brj-23074	224	9	region	region	NOUN
brj-23074	224	10	selection	selection	NOUN
brj-23074	224	11	of	of	ADP
brj-23074	224	12	the	the	DET
brj-23074	224	13	ir	ir	PROPN
brj-23074	224	14	data	datum	NOUN
brj-23074	224	15	also	also	ADV
brj-23074	224	16	contributed	contribute	VERB
brj-23074	224	17	to	to	PART
brj-23074	224	18	improve	improve	VERB
brj-23074	224	19	the	the	DET
brj-23074	224	20	classification	classification	NOUN
brj-23074	224	21	performance	performance	NOUN
brj-23074	224	22	of	of	ADP
brj-23074	224	23	the	the	DET
brj-23074	224	24	fnn	fnn	NOUN
brj-23074	224	25	and	and	CCONJ
brj-23074	224	26	svm	svm	ADJ
brj-23074	224	27	models	model	NOUN
brj-23074	224	28	.	.	PUNCT
brj-23074	225	1	however	however	ADV
brj-23074	225	2	,	,	PUNCT
brj-23074	225	3	for	for	ADP
brj-23074	225	4	some	some	DET
brj-23074	225	5	svm	svm	ADJ
brj-23074	225	6	models	model	NOUN
brj-23074	225	7	,	,	PUNCT
brj-23074	225	8	the	the	DET
brj-23074	225	9	application	application	NOUN
brj-23074	225	10	of	of	ADP
brj-23074	225	11	second	second	ADJ
brj-23074	225	12	-	-	PUNCT
brj-23074	225	13	derivative	derivative	ADJ
brj-23074	225	14	preprocessing	preprocessing	NOUN
brj-23074	225	15	decreased	decrease	VERB
brj-23074	225	16	f1	f1	NOUN
brj-23074	225	17	scores	score	NOUN
brj-23074	225	18	.	.	PUNCT
brj-23074	226	1	this	this	PRON
brj-23074	226	2	indicates	indicate	VERB
brj-23074	226	3	that	that	SCONJ
brj-23074	226	4	the	the	DET
brj-23074	226	5	optimal	optimal	ADJ
brj-23074	226	6	preprocessing	preprocessing	NOUN
brj-23074	226	7	technique	technique	NOUN
brj-23074	226	8	varies	vary	VERB
brj-23074	226	9	among	among	ADP
brj-23074	226	10	the	the	DET
brj-23074	226	11	models	model	NOUN
brj-23074	226	12	.	.	PUNCT
brj-23074	227	1	these	these	DET
brj-23074	227	2	findings	finding	NOUN
brj-23074	227	3	confirm	confirm	VERB
brj-23074	227	4	the	the	DET
brj-23074	227	5	superior	superior	ADJ
brj-23074	227	6	classification	classification	NOUN
brj-23074	227	7	performance	performance	NOUN
brj-23074	227	8	of	of	ADP
brj-23074	227	9	the	the	DET
brj-23074	227	10	1d	1d	NUM
brj-23074	227	11	cnn	cnn	NOUN
brj-23074	227	12	model	model	NOUN
brj-23074	227	13	for	for	ADP
brj-23074	227	14	printing	print	VERB
brj-23074	227	15	paper	paper	NOUN
brj-23074	227	16	classification	classification	NOUN
brj-23074	227	17	.	.	PUNCT
brj-23074	228	1	prediction	prediction	NOUN
brj-23074	228	2	of	of	ADP
brj-23074	228	3	unknown	unknown	ADJ
brj-23074	228	4	products	product	NOUN
brj-23074	228	5	the	the	DET
brj-23074	228	6	established	establish	VERB
brj-23074	228	7	1d	1d	NUM
brj-23074	228	8	cnn	cnn	NOUN
brj-23074	228	9	model	model	NOUN
brj-23074	228	10	was	be	AUX
brj-23074	228	11	used	use	VERB
brj-23074	228	12	to	to	PART
brj-23074	228	13	predict	predict	VERB
brj-23074	228	14	the	the	DET
brj-23074	228	15	country	country	NOUN
brj-23074	228	16	of	of	ADP
brj-23074	228	17	manufacturing	manufacturing	NOUN
brj-23074	228	18	for	for	ADP
brj-23074	228	19	products	product	NOUN
brj-23074	228	20	with	with	ADP
brj-23074	228	21	undisclosed	undisclosed	ADJ
brj-23074	228	22	origins	origin	NOUN
brj-23074	228	23	.	.	PUNCT
brj-23074	229	1	table	table	NOUN
brj-23074	229	2	5	5	NUM
brj-23074	229	3	presents	present	VERB
brj-23074	229	4	the	the	DET
brj-23074	229	5	predicted	predict	VERB
brj-23074	229	6	probabilities	probability	NOUN
brj-23074	229	7	for	for	ADP
brj-23074	229	8	these	these	DET
brj-23074	229	9	unknown	unknown	ADJ
brj-23074	229	10	products	product	NOUN
brj-23074	229	11	,	,	PUNCT
brj-23074	229	12	derived	derive	VERB
brj-23074	229	13	from	from	ADP
brj-23074	229	14	the	the	DET
brj-23074	229	15	softmax	softmax	NOUN
brj-23074	229	16	classifier	classifier	NOUN
brj-23074	229	17	within	within	ADP
brj-23074	229	18	the	the	DET
brj-23074	229	19	1d	1d	NUM
brj-23074	229	20	cnn	cnn	NOUN
brj-23074	229	21	.	.	PUNCT
brj-23074	230	1	the	the	DET
brj-23074	230	2	model	model	NOUN
brj-23074	230	3	assigned	assign	VERB
brj-23074	230	4	an	an	DET
brj-23074	230	5	80	80	NUM
brj-23074	230	6	%	%	NOUN
brj-23074	230	7	probability	probability	NOUN
brj-23074	230	8	to	to	ADP
brj-23074	230	9	product	product	NOUN
brj-23074	230	10	1	1	NUM
brj-23074	230	11	of	of	ADP
brj-23074	230	12	korean	korean	ADJ
brj-23074	230	13	origin	origin	NOUN
brj-23074	230	14	and	and	CCONJ
brj-23074	230	15	predicted	predict	VERB
brj-23074	230	16	that	that	SCONJ
brj-23074	230	17	unknown	unknown	ADJ
brj-23074	230	18	products	product	NOUN
brj-23074	230	19	2	2	NUM
brj-23074	230	20	and	and	CCONJ
brj-23074	230	21	3	3	NUM
brj-23074	230	22	were	be	AUX
brj-23074	230	23	of	of	ADP
brj-23074	230	24	chinese	chinese	ADJ
brj-23074	230	25	origin	origin	NOUN
brj-23074	230	26	with	with	ADP
brj-23074	230	27	probabilities	probability	NOUN
brj-23074	230	28	of	of	ADP
brj-23074	230	29	69	69	NUM
brj-23074	230	30	%	%	NOUN
brj-23074	230	31	and	and	CCONJ
brj-23074	230	32	45	45	NUM
brj-23074	230	33	%	%	NOUN
brj-23074	230	34	,	,	PUNCT
brj-23074	230	35	respectively	respectively	ADV
brj-23074	230	36	.	.	PUNCT
brj-23074	230	37	table	table	NOUN
brj-23074	230	38	5	5	NUM
brj-23074	230	39	.	.	PUNCT
brj-23074	231	1	predicted	predict	VERB
brj-23074	231	2	probabilities	probability	NOUN
brj-23074	231	3	for	for	ADP
brj-23074	231	4	the	the	DET
brj-23074	231	5	country	country	NOUN
brj-23074	231	6	-	-	PUNCT
brj-23074	231	7	level	level	NOUN
brj-23074	231	8	classification	classification	NOUN
brj-23074	231	9	of	of	ADP
brj-23074	231	10	unknown	unknown	ADJ
brj-23074	231	11	samples	sample	NOUN
brj-23074	231	12	by	by	ADP
brj-23074	231	13	the	the	DET
brj-23074	231	14	1d	1d	NUM
brj-23074	231	15	cnn	cnn	PROPN
brj-23074	231	16	model	model	NOUN
brj-23074	231	17	product	product	PROPN
brj-23074	231	18	aut	aut	NOUN
brj-23074	231	19	bra	bra	NOUN
brj-23074	231	20	can	can	AUX
brj-23074	231	21	chn	chn	VERB
brj-23074	231	22	fin	fin	NOUN
brj-23074	231	23	ger	ger	NOUN
brj-23074	231	24	ind	ind	PROPN
brj-23074	231	25	idn	idn	PROPN
brj-23074	231	26	kor	kor	PROPN
brj-23074	232	1	tha	tha	PROPN
brj-23074	232	2	usa	usa	PROPN
brj-23074	232	3	unknown	unknown	ADJ
brj-23074	232	4	1	1	NUM
brj-23074	232	5	0.00	0.00	NUM
brj-23074	232	6	0.00	0.00	NUM
brj-23074	232	7	0.00	0.00	NUM
brj-23074	232	8	0.20	0.20	NUM
brj-23074	232	9	0.00	0.00	NUM
brj-23074	232	10	0.00	0.00	NUM
brj-23074	232	11	0.00	0.00	NUM
brj-23074	232	12	0.00	0.00	NUM
brj-23074	232	13	0.80	0.80	NUM
brj-23074	232	14	0.00	0.00	NUM
brj-23074	232	15	0.00	0.00	NUM
brj-23074	232	16	unknown	unknown	ADJ
brj-23074	232	17	2	2	NUM
brj-23074	232	18	0.00	0.00	NUM
brj-23074	232	19	0.00	0.00	NUM
brj-23074	232	20	0.00	0.00	NUM
brj-23074	232	21	0.69	0.69	NUM
brj-23074	232	22	0.00	0.00	NUM
brj-23074	232	23	0.00	0.00	NUM
brj-23074	232	24	0.00	0.00	NUM
brj-23074	232	25	0.00	0.00	NUM
brj-23074	232	26	0.00	0.00	NUM
brj-23074	232	27	0.00	0.00	NUM
brj-23074	232	28	0.31	0.31	NUM
brj-23074	232	29	unknown	unknown	ADJ
brj-23074	232	30	3	3	NUM
brj-23074	232	31	0.00	0.00	NUM
brj-23074	232	32	0.01	0.01	NUM
brj-23074	232	33	0.03	0.03	NUM
brj-23074	232	34	0.45	0.45	NUM
brj-23074	232	35	0.00	0.00	NUM
brj-23074	232	36	0.00	0.00	NUM
brj-23074	232	37	0.00	0.00	NUM
brj-23074	232	38	0.27	0.27	NUM
brj-23074	232	39	0.01	0.01	NUM
brj-23074	232	40	0.02	0.02	NUM
brj-23074	232	41	0.21	0.21	NUM
brj-23074	232	42	notes	note	NOUN
brj-23074	232	43	:	:	PUNCT
brj-23074	232	44	aut	aut	PROPN
brj-23074	232	45	,	,	PUNCT
brj-23074	232	46	austria	austria	PROPN
brj-23074	232	47	;	;	PUNCT
brj-23074	232	48	bra	bra	NOUN
brj-23074	232	49	,	,	PUNCT
brj-23074	232	50	brazil	brazil	PROPN
brj-23074	232	51	;	;	PUNCT
brj-23074	232	52	can	can	AUX
brj-23074	232	53	,	,	PUNCT
brj-23074	232	54	canada	canada	PROPN
brj-23074	232	55	;	;	PUNCT
brj-23074	232	56	chn	chn	PROPN
brj-23074	232	57	,	,	PUNCT
brj-23074	232	58	china	china	PROPN
brj-23074	232	59	;	;	PUNCT
brj-23074	232	60	fin	fin	PROPN
brj-23074	232	61	,	,	PUNCT
brj-23074	232	62	finland	finland	PROPN
brj-23074	232	63	;	;	PUNCT
brj-23074	232	64	ger	ger	PROPN
brj-23074	232	65	,	,	PUNCT
brj-23074	232	66	germany	germany	PROPN
brj-23074	232	67	;	;	PUNCT
brj-23074	232	68	ind	ind	PROPN
brj-23074	232	69	,	,	PUNCT
brj-23074	232	70	india	india	PROPN
brj-23074	232	71	;	;	PUNCT
brj-23074	232	72	idn	idn	PROPN
brj-23074	232	73	,	,	PUNCT
brj-23074	232	74	indonesia	indonesia	PROPN
brj-23074	232	75	;	;	PUNCT
brj-23074	232	76	kor	kor	PROPN
brj-23074	232	77	,	,	PUNCT
brj-23074	232	78	korea	korea	PROPN
brj-23074	232	79	;	;	PUNCT
brj-23074	232	80	tha	tha	PROPN
brj-23074	232	81	,	,	PUNCT
brj-23074	232	82	thailand	thailand	PROPN
brj-23074	232	83	;	;	PUNCT
brj-23074	232	84	usa	usa	PROPN
brj-23074	232	85	,	,	PUNCT
brj-23074	232	86	united	united	PROPN
brj-23074	232	87	states	states	PROPN
brj-23074	232	88	;	;	PUNCT
brj-23074	232	89	the	the	DET
brj-23074	232	90	1d	1d	NUM
brj-23074	232	91	cnn	cnn	NOUN
brj-23074	232	92	model	model	NOUN
brj-23074	232	93	was	be	AUX
brj-23074	232	94	trained	train	VERB
brj-23074	232	95	with	with	ADP
brj-23074	232	96	the	the	DET
brj-23074	232	97	second	second	ADJ
brj-23074	232	98	-	-	PUNCT
brj-23074	232	99	derivative	derivative	ADJ
brj-23074	232	100	ir	ir	NOUN
brj-23074	232	101	spectra	spectra	NOUN
brj-23074	232	102	in	in	ADP
brj-23074	232	103	the	the	DET
brj-23074	232	104	1800–1200	1800–1200	NUM
brj-23074	232	105	cm−1	cm−1	NOUN
brj-23074	232	106	region	region	NOUN
brj-23074	232	107	figure	figure	NOUN
brj-23074	232	108	8	8	NUM
brj-23074	232	109	shows	show	VERB
brj-23074	232	110	unknown	unknown	ADJ
brj-23074	232	111	products	product	NOUN
brj-23074	232	112	on	on	ADP
brj-23074	232	113	the	the	DET
brj-23074	232	114	pc	pc	NOUN
brj-23074	232	115	score	score	NOUN
brj-23074	232	116	plot	plot	NOUN
brj-23074	232	117	with	with	ADP
brj-23074	232	118	other	other	ADJ
brj-23074	232	119	products	product	NOUN
brj-23074	232	120	used	use	VERB
brj-23074	232	121	in	in	ADP
brj-23074	232	122	model	model	NOUN
brj-23074	232	123	construction	construction	NOUN
brj-23074	232	124	.	.	PUNCT
brj-23074	233	1	fig	fig	NOUN
brj-23074	233	2	.	.	PUNCT
brj-23074	234	1	8	8	NUM
brj-23074	234	2	.	.	X
brj-23074	234	3	pc	pc	NOUN
brj-23074	234	4	score	score	NOUN
brj-23074	234	5	plot	plot	NOUN
brj-23074	234	6	for	for	ADP
brj-23074	234	7	two	two	NUM
brj-23074	234	8	pcs	pc	NOUN
brj-23074	234	9	in	in	ADP
brj-23074	234	10	second	second	ADJ
brj-23074	234	11	-	-	PUNCT
brj-23074	234	12	derivative	derivative	ADJ
brj-23074	234	13	ir	ir	NOUN
brj-23074	234	14	spectra	spectra	NOUN
brj-23074	234	15	in	in	ADP
brj-23074	234	16	the	the	DET
brj-23074	234	17	range	range	NOUN
brj-23074	234	18	of	of	ADP
brj-23074	234	19	4000	4000	NUM
brj-23074	234	20	to	to	PART
brj-23074	234	21	400	400	NUM
brj-23074	234	22	cm−1	cm−1	NOUN
brj-23074	234	23	peer	peer	NOUN
brj-23074	234	24	-	-	PUNCT
brj-23074	234	25	reviewed	review	VERB
brj-23074	234	26	article	article	NOUN
brj-23074	234	27	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	235	1	hwang	hwang	PROPN
brj-23074	235	2	et	et	PROPN
brj-23074	235	3	al	al	PROPN
brj-23074	235	4	.	.	PROPN
brj-23074	235	5	(	(	PUNCT
brj-23074	235	6	2024	2024	NUM
brj-23074	235	7	)	)	PUNCT
brj-23074	235	8	.	.	PUNCT
brj-23074	236	1	“	"	PUNCT
brj-23074	236	2	nir	nir	X
brj-23074	236	3	for	for	ADP
brj-23074	236	4	paper	paper	NOUN
brj-23074	236	5	classification	classification	NOUN
brj-23074	236	6	,	,	PUNCT
brj-23074	236	7	”	"	PUNCT
brj-23074	236	8	bioresources	bioresource	NOUN
brj-23074	236	9	19(1	19(1	NUM
brj-23074	236	10	)	)	PUNCT
brj-23074	236	11	,	,	PUNCT
brj-23074	236	12	1633	1633	NUM
brj-23074	236	13	-	-	SYM
brj-23074	236	14	1651	1651	NUM
brj-23074	236	15	.	.	PUNCT
brj-23074	237	1	1647	1647	NUM
brj-23074	237	2	unknown	unknown	ADJ
brj-23074	237	3	product	product	NOUN
brj-23074	237	4	1	1	NUM
brj-23074	237	5	,	,	PUNCT
brj-23074	237	6	predicted	predict	VERB
brj-23074	237	7	to	to	PART
brj-23074	237	8	be	be	AUX
brj-23074	237	9	of	of	ADP
brj-23074	237	10	korean	korean	ADJ
brj-23074	237	11	origin	origin	NOUN
brj-23074	237	12	,	,	PUNCT
brj-23074	237	13	is	be	AUX
brj-23074	237	14	positioned	position	VERB
brj-23074	237	15	close	close	ADV
brj-23074	237	16	to	to	ADP
brj-23074	237	17	a	a	DET
brj-23074	237	18	specific	specific	ADJ
brj-23074	237	19	korean	korean	ADJ
brj-23074	237	20	product	product	NOUN
brj-23074	237	21	on	on	ADP
brj-23074	237	22	the	the	DET
brj-23074	237	23	score	score	NOUN
brj-23074	237	24	plot	plot	NOUN
brj-23074	237	25	but	but	CCONJ
brj-23074	237	26	forms	form	VERB
brj-23074	237	27	an	an	DET
brj-23074	237	28	independent	independent	ADJ
brj-23074	237	29	cluster	cluster	NOUN
brj-23074	237	30	.	.	PUNCT
brj-23074	238	1	the	the	DET
brj-23074	238	2	presence	presence	NOUN
brj-23074	238	3	of	of	ADP
brj-23074	238	4	this	this	DET
brj-23074	238	5	cluster	cluster	NOUN
brj-23074	238	6	with	with	ADP
brj-23074	238	7	a	a	DET
brj-23074	238	8	high	high	ADJ
brj-23074	238	9	pc2	pc2	NOUN
brj-23074	238	10	value	value	NOUN
brj-23074	238	11	suggests	suggest	VERB
brj-23074	238	12	the	the	DET
brj-23074	238	13	possibility	possibility	NOUN
brj-23074	238	14	that	that	SCONJ
brj-23074	238	15	unbleached	unbleached	ADJ
brj-23074	238	16	pulp	pulp	NOUN
brj-23074	238	17	may	may	AUX
brj-23074	238	18	have	have	AUX
brj-23074	238	19	been	be	AUX
brj-23074	238	20	used	use	VERB
brj-23074	238	21	in	in	ADP
brj-23074	238	22	the	the	DET
brj-23074	238	23	manufacturing	manufacturing	NOUN
brj-23074	238	24	of	of	ADP
brj-23074	238	25	this	this	DET
brj-23074	238	26	product	product	NOUN
brj-23074	238	27	.	.	PUNCT
brj-23074	239	1	unknown	unknown	ADJ
brj-23074	239	2	product	product	NOUN
brj-23074	239	3	2	2	NUM
brj-23074	239	4	,	,	PUNCT
brj-23074	239	5	predicted	predict	VERB
brj-23074	239	6	to	to	PART
brj-23074	239	7	be	be	AUX
brj-23074	239	8	of	of	ADP
brj-23074	239	9	chinese	chinese	ADJ
brj-23074	239	10	origin	origin	NOUN
brj-23074	239	11	,	,	PUNCT
brj-23074	239	12	was	be	AUX
brj-23074	239	13	positioned	position	VERB
brj-23074	239	14	in	in	ADP
brj-23074	239	15	a	a	DET
brj-23074	239	16	large	large	ADJ
brj-23074	239	17	cluster	cluster	NOUN
brj-23074	239	18	among	among	ADP
brj-23074	239	19	the	the	DET
brj-23074	239	20	points	point	NOUN
brj-23074	239	21	of	of	ADP
brj-23074	239	22	many	many	ADJ
brj-23074	239	23	other	other	ADJ
brj-23074	239	24	chinese	chinese	ADJ
brj-23074	239	25	products	product	NOUN
brj-23074	239	26	.	.	PUNCT
brj-23074	240	1	although	although	SCONJ
brj-23074	240	2	unknown	unknown	ADJ
brj-23074	240	3	product	product	NOUN
brj-23074	240	4	3	3	NUM
brj-23074	240	5	was	be	AUX
brj-23074	240	6	also	also	ADV
brj-23074	240	7	predicted	predict	VERB
brj-23074	240	8	to	to	PART
brj-23074	240	9	be	be	AUX
brj-23074	240	10	of	of	ADP
brj-23074	240	11	chinese	chinese	ADJ
brj-23074	240	12	origin	origin	NOUN
brj-23074	240	13	,	,	PUNCT
brj-23074	240	14	in	in	ADP
brj-23074	240	15	the	the	DET
brj-23074	240	16	graph	graph	NOUN
brj-23074	240	17	,	,	PUNCT
brj-23074	240	18	it	it	PRON
brj-23074	240	19	is	be	AUX
brj-23074	240	20	close	close	ADJ
brj-23074	240	21	not	not	PART
brj-23074	240	22	only	only	ADV
brj-23074	240	23	to	to	ADP
brj-23074	240	24	chinese	chinese	ADJ
brj-23074	240	25	products	product	NOUN
brj-23074	240	26	but	but	CCONJ
brj-23074	240	27	also	also	ADV
brj-23074	240	28	to	to	ADP
brj-23074	240	29	products	product	NOUN
brj-23074	240	30	originating	originate	VERB
brj-23074	240	31	from	from	ADP
brj-23074	240	32	the	the	DET
brj-23074	240	33	united	united	PROPN
brj-23074	240	34	states	states	PROPN
brj-23074	240	35	and	and	CCONJ
brj-23074	240	36	india	india	PROPN
brj-23074	240	37	.	.	PUNCT
brj-23074	241	1	notably	notably	ADV
brj-23074	241	2	,	,	PUNCT
brj-23074	241	3	the	the	DET
brj-23074	241	4	predicted	predict	VERB
brj-23074	241	5	probabilities	probability	NOUN
brj-23074	241	6	for	for	ADP
brj-23074	241	7	this	this	DET
brj-23074	241	8	product	product	NOUN
brj-23074	241	9	are	be	AUX
brj-23074	241	10	relatively	relatively	ADV
brj-23074	241	11	high	high	ADJ
brj-23074	241	12	for	for	ADP
brj-23074	241	13	american	american	ADJ
brj-23074	241	14	and	and	CCONJ
brj-23074	241	15	indian	indian	ADJ
brj-23074	241	16	origins	origin	NOUN
brj-23074	241	17	,	,	PUNCT
brj-23074	241	18	amounting	amount	VERB
brj-23074	241	19	to	to	ADP
brj-23074	241	20	21	21	NUM
brj-23074	241	21	%	%	NOUN
brj-23074	241	22	and	and	CCONJ
brj-23074	241	23	27	27	NUM
brj-23074	241	24	%	%	NOUN
brj-23074	241	25	,	,	PUNCT
brj-23074	241	26	respectively	respectively	ADV
brj-23074	241	27	(	(	PUNCT
brj-23074	241	28	table	table	NOUN
brj-23074	241	29	6	6	NUM
brj-23074	241	30	)	)	PUNCT
brj-23074	241	31	.	.	PUNCT
brj-23074	242	1	thus	thus	ADV
brj-23074	242	2	,	,	PUNCT
brj-23074	242	3	the	the	DET
brj-23074	242	4	score	score	NOUN
brj-23074	242	5	plot	plot	NOUN
brj-23074	242	6	provides	provide	VERB
brj-23074	242	7	interpretive	interpretive	ADJ
brj-23074	242	8	support	support	NOUN
brj-23074	242	9	for	for	ADP
brj-23074	242	10	the	the	DET
brj-23074	242	11	predictions	prediction	NOUN
brj-23074	242	12	generated	generate	VERB
brj-23074	242	13	by	by	ADP
brj-23074	242	14	the	the	DET
brj-23074	242	15	1d	1d	NUM
brj-23074	242	16	cnn	cnn	PROPN
brj-23074	242	17	model	model	NOUN
brj-23074	242	18	.	.	PUNCT
brj-23074	243	1	data	datum	NOUN
brj-23074	243	2	point	point	NOUN
brj-23074	243	3	attribution	attribution	NOUN
brj-23074	243	4	data	datum	NOUN
brj-23074	243	5	point	point	NOUN
brj-23074	243	6	attributions	attribution	NOUN
brj-23074	243	7	were	be	AUX
brj-23074	243	8	implemented	implement	VERB
brj-23074	243	9	using	use	VERB
brj-23074	243	10	grad	grad	NOUN
brj-23074	243	11	-	-	PUNCT
brj-23074	243	12	cam	cam	NOUN
brj-23074	243	13	from	from	ADP
brj-23074	243	14	the	the	DET
brj-23074	243	15	1d	1d	NUM
brj-23074	243	16	cnn	cnn	NOUN
brj-23074	243	17	models	model	NOUN
brj-23074	243	18	to	to	PART
brj-23074	243	19	analyze	analyze	VERB
brj-23074	243	20	the	the	DET
brj-23074	243	21	differences	difference	NOUN
brj-23074	243	22	in	in	ADP
brj-23074	243	23	spectral	spectral	ADJ
brj-23074	243	24	regions	region	NOUN
brj-23074	243	25	contributing	contribute	VERB
brj-23074	243	26	to	to	ADP
brj-23074	243	27	the	the	DET
brj-23074	243	28	classification	classification	NOUN
brj-23074	243	29	(	(	PUNCT
brj-23074	243	30	fig	fig	NOUN
brj-23074	243	31	.	.	PUNCT
brj-23074	244	1	9	9	NUM
brj-23074	244	2	)	)	PUNCT
brj-23074	244	3	.	.	PUNCT
brj-23074	245	1	figure	figure	NOUN
brj-23074	245	2	9a	9a	NOUN
brj-23074	245	3	shows	show	VERB
brj-23074	245	4	the	the	DET
brj-23074	245	5	second	second	ADJ
brj-23074	245	6	-	-	PUNCT
brj-23074	245	7	derivative	derivative	ADJ
brj-23074	245	8	ir	ir	PROPN
brj-23074	245	9	spectra	spectra	NOUN
brj-23074	245	10	of	of	ADP
brj-23074	245	11	paper	paper	NOUN
brj-23074	245	12	products	product	NOUN
brj-23074	245	13	from	from	ADP
brj-23074	245	14	the	the	DET
brj-23074	245	15	united	united	PROPN
brj-23074	245	16	states	states	PROPN
brj-23074	245	17	and	and	CCONJ
brj-23074	245	18	korea	korea	PROPN
brj-23074	245	19	in	in	ADP
brj-23074	245	20	the	the	DET
brj-23074	245	21	range	range	NOUN
brj-23074	245	22	of	of	ADP
brj-23074	245	23	1800	1800	NUM
brj-23074	245	24	to	to	ADP
brj-23074	245	25	1200	1200	NUM
brj-23074	245	26	cm−1	cm−1	NOUN
brj-23074	245	27	,	,	PUNCT
brj-23074	245	28	alongside	alongside	ADP
brj-23074	245	29	their	their	PRON
brj-23074	245	30	corresponding	corresponding	ADJ
brj-23074	245	31	spectral	spectral	ADJ
brj-23074	245	32	point	point	NOUN
brj-23074	245	33	attributions	attribution	NOUN
brj-23074	245	34	.	.	PUNCT
brj-23074	246	1	fig	fig	NOUN
brj-23074	246	2	.	.	PUNCT
brj-23074	247	1	9	9	X
brj-23074	247	2	.	.	X
brj-23074	247	3	visualization	visualization	NOUN
brj-23074	247	4	of	of	ADP
brj-23074	247	5	spectral	spectral	ADJ
brj-23074	247	6	point	point	NOUN
brj-23074	247	7	attribution	attribution	NOUN
brj-23074	247	8	for	for	ADP
brj-23074	247	9	1d	1d	NUM
brj-23074	247	10	cnn	cnn	PROPN
brj-23074	247	11	models	model	NOUN
brj-23074	247	12	trained	train	VERB
brj-23074	247	13	with	with	ADP
brj-23074	247	14	secondderivative	secondderivative	ADJ
brj-23074	247	15	ir	ir	PROPN
brj-23074	247	16	spectra	spectra	NOUN
brj-23074	247	17	in	in	ADP
brj-23074	247	18	the	the	DET
brj-23074	247	19	range	range	NOUN
brj-23074	247	20	of	of	ADP
brj-23074	247	21	1800	1800	NUM
brj-23074	247	22	to	to	ADP
brj-23074	247	23	1200	1200	NUM
brj-23074	247	24	cm−1	cm−1	NOUN
brj-23074	247	25	for	for	ADP
brj-23074	247	26	classification	classification	NOUN
brj-23074	247	27	at	at	ADP
brj-23074	247	28	the	the	DET
brj-23074	247	29	product	product	NOUN
brj-23074	247	30	(	(	PUNCT
brj-23074	247	31	a	a	X
brj-23074	247	32	)	)	PUNCT
brj-23074	247	33	,	,	PUNCT
brj-23074	247	34	manufacturing	manufacture	VERB
brj-23074	247	35	continent	continent	NOUN
brj-23074	247	36	(	(	PUNCT
brj-23074	247	37	b	b	NOUN
brj-23074	247	38	)	)	PUNCT
brj-23074	247	39	,	,	PUNCT
brj-23074	247	40	and	and	CCONJ
brj-23074	247	41	manufacturing	manufacture	VERB
brj-23074	247	42	country	country	NOUN
brj-23074	247	43	(	(	PUNCT
brj-23074	247	44	c	c	NOUN
brj-23074	247	45	)	)	PUNCT
brj-23074	247	46	levels	level	NOUN
brj-23074	247	47	.	.	PUNCT
brj-23074	248	1	notes	note	NOUN
brj-23074	248	2	:	:	PUNCT
brj-23074	248	3	prod	prod	NOUN
brj-23074	248	4	.	.	PUNCT
brj-23074	248	5	,	,	PUNCT
brj-23074	248	6	printing	print	VERB
brj-23074	248	7	paper	paper	NOUN
brj-23074	248	8	products	product	NOUN
brj-23074	248	9	;	;	PUNCT
brj-23074	248	10	as	as	ADP
brj-23074	248	11	,	,	PUNCT
brj-23074	248	12	asia	asia	PROPN
brj-23074	248	13	;	;	PUNCT
brj-23074	248	14	eu	eu	PROPN
brj-23074	248	15	,	,	PUNCT
brj-23074	248	16	europe	europe	PROPN
brj-23074	248	17	;	;	PUNCT
brj-23074	248	18	na	na	PART
brj-23074	248	19	,	,	PUNCT
brj-23074	248	20	north	north	PROPN
brj-23074	248	21	america	america	PROPN
brj-23074	248	22	;	;	PUNCT
brj-23074	248	23	sa	sa	PROPN
brj-23074	248	24	,	,	PUNCT
brj-23074	248	25	south	south	PROPN
brj-23074	248	26	america	america	PROPN
brj-23074	248	27	;	;	PUNCT
brj-23074	248	28	aut	aut	PROPN
brj-23074	248	29	,	,	PUNCT
brj-23074	248	30	austria	austria	PROPN
brj-23074	248	31	;	;	PUNCT
brj-23074	248	32	bra	bra	NOUN
brj-23074	248	33	,	,	PUNCT
brj-23074	248	34	brazil	brazil	PROPN
brj-23074	248	35	;	;	PUNCT
brj-23074	248	36	can	can	AUX
brj-23074	248	37	,	,	PUNCT
brj-23074	248	38	canada	canada	PROPN
brj-23074	248	39	;	;	PUNCT
brj-23074	248	40	chn	chn	PROPN
brj-23074	248	41	,	,	PUNCT
brj-23074	248	42	china	china	PROPN
brj-23074	248	43	;	;	PUNCT
brj-23074	248	44	fin	fin	PROPN
brj-23074	248	45	,	,	PUNCT
brj-23074	248	46	finland	finland	PROPN
brj-23074	248	47	;	;	PUNCT
brj-23074	248	48	ger	ger	PROPN
brj-23074	248	49	,	,	PUNCT
brj-23074	248	50	germany	germany	PROPN
brj-23074	248	51	;	;	PUNCT
brj-23074	248	52	ind	ind	PROPN
brj-23074	248	53	,	,	PUNCT
brj-23074	248	54	india	india	PROPN
brj-23074	248	55	;	;	PUNCT
brj-23074	248	56	idn	idn	PROPN
brj-23074	248	57	,	,	PUNCT
brj-23074	248	58	indonesia	indonesia	PROPN
brj-23074	248	59	;	;	PUNCT
brj-23074	248	60	kor	kor	PROPN
brj-23074	248	61	,	,	PUNCT
brj-23074	248	62	korea	korea	PROPN
brj-23074	248	63	;	;	PUNCT
brj-23074	248	64	tha	tha	PROPN
brj-23074	248	65	,	,	PUNCT
brj-23074	248	66	thailand	thailand	PROPN
brj-23074	248	67	;	;	PUNCT
brj-23074	248	68	usa	usa	PROPN
brj-23074	248	69	,	,	PUNCT
brj-23074	248	70	united	united	PROPN
brj-23074	248	71	states	states	PROPN
brj-23074	248	72	peer	peer	NOUN
brj-23074	248	73	-	-	PUNCT
brj-23074	248	74	reviewed	review	VERB
brj-23074	248	75	article	article	NOUN
brj-23074	248	76	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	249	1	hwang	hwang	PROPN
brj-23074	249	2	et	et	PROPN
brj-23074	249	3	al	al	PROPN
brj-23074	249	4	.	.	PROPN
brj-23074	249	5	(	(	PUNCT
brj-23074	249	6	2024	2024	NUM
brj-23074	249	7	)	)	PUNCT
brj-23074	249	8	.	.	PUNCT
brj-23074	250	1	“	"	PUNCT
brj-23074	250	2	nir	nir	X
brj-23074	250	3	for	for	ADP
brj-23074	250	4	paper	paper	NOUN
brj-23074	250	5	classification	classification	NOUN
brj-23074	250	6	,	,	PUNCT
brj-23074	250	7	”	"	PUNCT
brj-23074	250	8	bioresources	bioresource	NOUN
brj-23074	250	9	19(1	19(1	NUM
brj-23074	250	10	)	)	PUNCT
brj-23074	250	11	,	,	PUNCT
brj-23074	250	12	1633	1633	NUM
brj-23074	250	13	-	-	SYM
brj-23074	250	14	1651	1651	NUM
brj-23074	250	15	.	.	PUNCT
brj-23074	251	1	1648	1648	NUM
brj-23074	251	2	in	in	ADP
brj-23074	251	3	the	the	DET
brj-23074	251	4	classification	classification	NOUN
brj-23074	251	5	of	of	ADP
brj-23074	251	6	the	the	DET
brj-23074	251	7	american	american	ADJ
brj-23074	251	8	product	product	NOUN
brj-23074	251	9	,	,	PUNCT
brj-23074	251	10	notable	notable	ADJ
brj-23074	251	11	contributions	contribution	NOUN
brj-23074	251	12	were	be	AUX
brj-23074	251	13	identified	identify	VERB
brj-23074	251	14	at	at	ADP
brj-23074	251	15	1685	1685	NUM
brj-23074	251	16	and	and	CCONJ
brj-23074	251	17	1558	1558	NUM
brj-23074	251	18	cm−1	cm−1	NOUN
brj-23074	251	19	,	,	PUNCT
brj-23074	251	20	assigned	assign	VERB
brj-23074	251	21	to	to	ADP
brj-23074	251	22	c	c	NOUN
brj-23074	251	23	=	=	NOUN
brj-23074	251	24	o	o	X
brj-23074	251	25	stretching	stretching	NOUN
brj-23074	251	26	,	,	PUNCT
brj-23074	251	27	and	and	CCONJ
brj-23074	251	28	at	at	ADP
brj-23074	251	29	1430	1430	NUM
brj-23074	251	30	to	to	ADP
brj-23074	251	31	1416	1416	NUM
brj-23074	251	32	and	and	CCONJ
brj-23074	251	33	1315	1315	NUM
brj-23074	251	34	cm−1	cm−1	NOUN
brj-23074	251	35	,	,	PUNCT
brj-23074	251	36	ascribed	ascribe	VERB
brj-23074	251	37	to	to	ADP
brj-23074	251	38	crystalline	crystalline	ADJ
brj-23074	251	39	cellulose	cellulose	NOUN
brj-23074	251	40	.	.	PUNCT
brj-23074	252	1	conversely	conversely	ADV
brj-23074	252	2	,	,	PUNCT
brj-23074	252	3	in	in	ADP
brj-23074	252	4	the	the	DET
brj-23074	252	5	classification	classification	NOUN
brj-23074	252	6	of	of	ADP
brj-23074	252	7	the	the	DET
brj-23074	252	8	korean	korean	ADJ
brj-23074	252	9	product	product	NOUN
brj-23074	252	10	,	,	PUNCT
brj-23074	252	11	a	a	DET
brj-23074	252	12	substantial	substantial	ADJ
brj-23074	252	13	contribution	contribution	NOUN
brj-23074	252	14	was	be	AUX
brj-23074	252	15	observed	observe	VERB
brj-23074	252	16	in	in	ADP
brj-23074	252	17	the	the	DET
brj-23074	252	18	1375	1375	NUM
brj-23074	252	19	to	to	ADP
brj-23074	252	20	1466	1466	NUM
brj-23074	252	21	cm−1	cm−1	NOUN
brj-23074	252	22	region	region	NOUN
brj-23074	252	23	,	,	PUNCT
brj-23074	252	24	assigned	assign	VERB
brj-23074	252	25	to	to	ADP
brj-23074	252	26	ch2	ch2	NOUN
brj-23074	252	27	bending	bend	VERB
brj-23074	252	28	in	in	ADP
brj-23074	252	29	crystalline	crystalline	NOUN
brj-23074	252	30	and	and	CCONJ
brj-23074	252	31	amorphous	amorphous	ADJ
brj-23074	252	32	cellulose	cellulose	NOUN
brj-23074	252	33	.	.	PUNCT
brj-23074	253	1	these	these	DET
brj-23074	253	2	results	result	NOUN
brj-23074	253	3	highlight	highlight	VERB
brj-23074	253	4	the	the	DET
brj-23074	253	5	variation	variation	NOUN
brj-23074	253	6	in	in	ADP
brj-23074	253	7	the	the	DET
brj-23074	253	8	spectral	spectral	ADJ
brj-23074	253	9	contributions	contribution	NOUN
brj-23074	253	10	to	to	ADP
brj-23074	253	11	the	the	DET
brj-23074	253	12	classification	classification	NOUN
brj-23074	253	13	of	of	ADP
brj-23074	253	14	each	each	DET
brj-23074	253	15	product	product	NOUN
brj-23074	253	16	.	.	PUNCT
brj-23074	254	1	figure	figure	NOUN
brj-23074	254	2	9b	9b	PROPN
brj-23074	254	3	illustrates	illustrate	VERB
brj-23074	254	4	the	the	DET
brj-23074	254	5	spectral	spectral	ADJ
brj-23074	254	6	attribution	attribution	NOUN
brj-23074	254	7	for	for	ADP
brj-23074	254	8	classification	classification	NOUN
brj-23074	254	9	at	at	ADP
brj-23074	254	10	the	the	DET
brj-23074	254	11	continent	continent	NOUN
brj-23074	254	12	level	level	NOUN
brj-23074	254	13	,	,	PUNCT
brj-23074	254	14	highlighting	highlight	VERB
brj-23074	254	15	the	the	DET
brj-23074	254	16	variations	variation	NOUN
brj-23074	254	17	in	in	ADP
brj-23074	254	18	absorption	absorption	NOUN
brj-23074	254	19	bands	band	NOUN
brj-23074	254	20	contributing	contribute	VERB
brj-23074	254	21	to	to	ADP
brj-23074	254	22	classification	classification	NOUN
brj-23074	254	23	across	across	ADP
brj-23074	254	24	continents	continent	NOUN
brj-23074	254	25	.	.	PUNCT
brj-23074	255	1	for	for	ADP
brj-23074	255	2	asian	asian	ADJ
brj-23074	255	3	products	product	NOUN
brj-23074	255	4	,	,	PUNCT
brj-23074	255	5	relatively	relatively	ADV
brj-23074	255	6	high	high	ADJ
brj-23074	255	7	contributions	contribution	NOUN
brj-23074	255	8	were	be	AUX
brj-23074	255	9	observed	observe	VERB
brj-23074	255	10	in	in	ADP
brj-23074	255	11	the	the	DET
brj-23074	255	12	broad	broad	ADJ
brj-23074	255	13	region	region	NOUN
brj-23074	255	14	of	of	ADP
brj-23074	255	15	1500	1500	NUM
brj-23074	255	16	to	to	ADP
brj-23074	255	17	1800	1800	NUM
brj-23074	255	18	cm−1	cm−1	NOUN
brj-23074	255	19	,	,	PUNCT
brj-23074	255	20	assigned	assign	VERB
brj-23074	255	21	to	to	ADP
brj-23074	255	22	c	c	NOUN
brj-23074	255	23	=	=	NOUN
brj-23074	255	24	o	o	NOUN
brj-23074	255	25	stretching	stretching	NOUN
brj-23074	255	26	.	.	PUNCT
brj-23074	256	1	regarding	regard	VERB
brj-23074	256	2	european	european	ADJ
brj-23074	256	3	products	product	NOUN
brj-23074	256	4	,	,	PUNCT
brj-23074	256	5	a	a	DET
brj-23074	256	6	notable	notable	ADJ
brj-23074	256	7	contribution	contribution	NOUN
brj-23074	256	8	was	be	AUX
brj-23074	256	9	observed	observe	VERB
brj-23074	256	10	near	near	ADP
brj-23074	256	11	1277	1277	NUM
brj-23074	256	12	cm−1	cm−1	NOUN
brj-23074	256	13	,	,	PUNCT
brj-23074	256	14	assigned	assign	VERB
brj-23074	256	15	to	to	ADP
brj-23074	256	16	c	c	NOUN
brj-23074	256	17	–	–	PUNCT
brj-23074	256	18	h	h	NOUN
brj-23074	256	19	deformation	deformation	NOUN
brj-23074	256	20	.	.	PUNCT
brj-23074	257	1	distinct	distinct	ADJ
brj-23074	257	2	regions	region	NOUN
brj-23074	257	3	were	be	AUX
brj-23074	257	4	noted	note	VERB
brj-23074	257	5	for	for	ADP
brj-23074	257	6	north	north	ADJ
brj-23074	257	7	american	american	ADJ
brj-23074	257	8	products	product	NOUN
brj-23074	257	9	,	,	PUNCT
brj-23074	257	10	with	with	ADP
brj-23074	257	11	prominent	prominent	ADJ
brj-23074	257	12	color	color	NOUN
brj-23074	257	13	at	at	ADP
brj-23074	257	14	1740	1740	NUM
brj-23074	257	15	,	,	PUNCT
brj-23074	257	16	1685	1685	NUM
brj-23074	257	17	to	to	ADP
brj-23074	257	18	1660	1660	NUM
brj-23074	257	19	,	,	PUNCT
brj-23074	257	20	and	and	CCONJ
brj-23074	257	21	1315	1315	NUM
brj-23074	257	22	cm−1	cm−1	NOUN
brj-23074	257	23	,	,	PUNCT
brj-23074	257	24	assigned	assign	VERB
brj-23074	257	25	to	to	ADP
brj-23074	257	26	c	c	NOUN
brj-23074	257	27	=	=	NOUN
brj-23074	257	28	o	o	NOUN
brj-23074	257	29	of	of	ADP
brj-23074	257	30	carbonyl	carbonyl	NOUN
brj-23074	257	31	groups	group	NOUN
brj-23074	257	32	,	,	PUNCT
brj-23074	257	33	c	c	NOUN
brj-23074	257	34	=	=	NOUN
brj-23074	257	35	o	o	NOUN
brj-23074	257	36	stretching	stretching	NOUN
brj-23074	257	37	,	,	PUNCT
brj-23074	257	38	and	and	CCONJ
brj-23074	257	39	crystalline	crystalline	ADJ
brj-23074	257	40	cellulose	cellulose	NOUN
brj-23074	257	41	,	,	PUNCT
brj-23074	257	42	respectively	respectively	ADV
brj-23074	257	43	.	.	PUNCT
brj-23074	258	1	for	for	ADP
brj-23074	258	2	south	south	ADJ
brj-23074	258	3	american	american	ADJ
brj-23074	258	4	products	product	NOUN
brj-23074	258	5	,	,	PUNCT
brj-23074	258	6	high	high	ADJ
brj-23074	258	7	contributions	contribution	NOUN
brj-23074	258	8	are	be	AUX
brj-23074	258	9	observed	observe	VERB
brj-23074	258	10	at	at	ADP
brj-23074	258	11	1560	1560	NUM
brj-23074	258	12	and	and	CCONJ
brj-23074	258	13	1466	1466	NUM
brj-23074	258	14	cm−1	cm−1	NOUN
brj-23074	258	15	,	,	PUNCT
brj-23074	258	16	assigned	assign	VERB
brj-23074	258	17	to	to	ADP
brj-23074	258	18	c	c	NOUN
brj-23074	258	19	=	=	NOUN
brj-23074	258	20	o	o	X
brj-23074	258	21	and	and	CCONJ
brj-23074	258	22	amorphous	amorphous	ADJ
brj-23074	258	23	cellulose	cellulose	NOUN
brj-23074	258	24	,	,	PUNCT
brj-23074	258	25	respectively	respectively	ADV
brj-23074	258	26	.	.	PUNCT
brj-23074	259	1	in	in	ADP
brj-23074	259	2	the	the	DET
brj-23074	259	3	case	case	NOUN
brj-23074	259	4	of	of	ADP
brj-23074	259	5	classification	classification	NOUN
brj-23074	259	6	at	at	ADP
brj-23074	259	7	the	the	DET
brj-23074	259	8	country	country	NOUN
brj-23074	259	9	level	level	NOUN
brj-23074	259	10	,	,	PUNCT
brj-23074	259	11	the	the	DET
brj-23074	259	12	contributions	contribution	NOUN
brj-23074	259	13	of	of	ADP
brj-23074	259	14	key	key	ADJ
brj-23074	259	15	ir	ir	PROPN
brj-23074	259	16	absorption	absorption	NOUN
brj-23074	259	17	bands	band	NOUN
brj-23074	259	18	for	for	ADP
brj-23074	259	19	paper	paper	NOUN
brj-23074	259	20	exhibit	exhibit	VERB
brj-23074	259	21	diverse	diverse	ADJ
brj-23074	259	22	patterns	pattern	NOUN
brj-23074	259	23	among	among	ADP
brj-23074	259	24	different	different	ADJ
brj-23074	259	25	countries	country	NOUN
brj-23074	259	26	(	(	PUNCT
brj-23074	259	27	fig	fig	NOUN
brj-23074	259	28	.	.	PUNCT
brj-23074	260	1	9c	9c	NUM
brj-23074	260	2	)	)	PUNCT
brj-23074	260	3	.	.	PUNCT
brj-23074	261	1	furthermore	furthermore	ADV
brj-23074	261	2	,	,	PUNCT
brj-23074	261	3	the	the	DET
brj-23074	261	4	spectral	spectral	ADJ
brj-23074	261	5	attribution	attribution	NOUN
brj-23074	261	6	in	in	ADP
brj-23074	261	7	country	country	NOUN
brj-23074	261	8	-	-	PUNCT
brj-23074	261	9	based	base	VERB
brj-23074	261	10	classification	classification	NOUN
brj-23074	261	11	differs	differ	VERB
brj-23074	261	12	from	from	ADP
brj-23074	261	13	that	that	PRON
brj-23074	261	14	in	in	ADP
brj-23074	261	15	the	the	DET
brj-23074	261	16	continent	continent	NOUN
brj-23074	261	17	classification	classification	NOUN
brj-23074	261	18	.	.	PUNCT
brj-23074	262	1	these	these	DET
brj-23074	262	2	findings	finding	NOUN
brj-23074	262	3	emphasize	emphasize	VERB
brj-23074	262	4	that	that	SCONJ
brj-23074	262	5	the	the	DET
brj-23074	262	6	ir	ir	PROPN
brj-23074	262	7	absorption	absorption	NOUN
brj-23074	262	8	bands	band	NOUN
brj-23074	262	9	contributing	contribute	VERB
brj-23074	262	10	to	to	ADP
brj-23074	262	11	classification	classification	NOUN
brj-23074	262	12	vary	vary	NOUN
brj-23074	262	13	depending	depend	VERB
brj-23074	262	14	on	on	ADP
brj-23074	262	15	the	the	DET
brj-23074	262	16	classification	classification	NOUN
brj-23074	262	17	level	level	NOUN
brj-23074	262	18	,	,	PUNCT
brj-23074	262	19	and	and	CCONJ
brj-23074	262	20	they	they	PRON
brj-23074	262	21	demonstrate	demonstrate	VERB
brj-23074	262	22	that	that	SCONJ
brj-23074	262	23	the	the	DET
brj-23074	262	24	1d	1d	NUM
brj-23074	262	25	cnn	cnn	NOUN
brj-23074	262	26	model	model	NOUN
brj-23074	262	27	has	have	AUX
brj-23074	262	28	been	be	AUX
brj-23074	262	29	established	establish	VERB
brj-23074	262	30	by	by	ADP
brj-23074	262	31	learning	learn	VERB
brj-23074	262	32	comprehensive	comprehensive	ADJ
brj-23074	262	33	information	information	NOUN
brj-23074	262	34	from	from	ADP
brj-23074	262	35	critical	critical	ADJ
brj-23074	262	36	spectral	spectral	ADJ
brj-23074	262	37	regions	region	NOUN
brj-23074	262	38	.	.	PUNCT
brj-23074	263	1	thus	thus	ADV
brj-23074	263	2	,	,	PUNCT
brj-23074	263	3	spectral	spectral	ADJ
brj-23074	263	4	attribution	attribution	NOUN
brj-23074	263	5	analysis	analysis	NOUN
brj-23074	263	6	enhanced	enhance	VERB
brj-23074	263	7	interpretability	interpretability	NOUN
brj-23074	263	8	for	for	ADP
brj-23074	263	9	printing	print	VERB
brj-23074	263	10	paper	paper	NOUN
brj-23074	263	11	classification	classification	NOUN
brj-23074	263	12	,	,	PUNCT
brj-23074	263	13	providing	provide	VERB
brj-23074	263	14	a	a	DET
brj-23074	263	15	comprehensive	comprehensive	ADJ
brj-23074	263	16	understanding	understanding	NOUN
brj-23074	263	17	of	of	ADP
brj-23074	263	18	the	the	DET
brj-23074	263	19	impact	impact	NOUN
brj-23074	263	20	of	of	ADP
brj-23074	263	21	ir	ir	PROPN
brj-23074	263	22	data	datum	NOUN
brj-23074	263	23	on	on	ADP
brj-23074	263	24	the	the	DET
brj-23074	263	25	classification	classification	NOUN
brj-23074	263	26	process	process	NOUN
brj-23074	263	27	of	of	ADP
brj-23074	263	28	the	the	DET
brj-23074	263	29	1d	1d	NUM
brj-23074	263	30	cnn	cnn	PROPN
brj-23074	263	31	models	model	NOUN
brj-23074	263	32	.	.	PUNCT
brj-23074	264	1	conclusions	conclusion	NOUN
brj-23074	264	2	1	1	NUM
brj-23074	264	3	.	.	X
brj-23074	264	4	one	one	NUM
brj-23074	264	5	-	-	PUNCT
brj-23074	264	6	dimensional	dimensional	ADJ
brj-23074	264	7	convolutional	convolutional	ADJ
brj-23074	264	8	neural	neural	ADJ
brj-23074	264	9	network	network	NOUN
brj-23074	264	10	(	(	PUNCT
brj-23074	264	11	cnn	cnn	PROPN
brj-23074	264	12	)	)	PUNCT
brj-23074	264	13	models	model	NOUN
brj-23074	264	14	trained	train	VERB
brj-23074	264	15	on	on	ADP
brj-23074	264	16	the	the	DET
brj-23074	264	17	infrared	infrared	NOUN
brj-23074	264	18	(	(	PUNCT
brj-23074	264	19	ir	ir	NOUN
brj-23074	264	20	)	)	PUNCT
brj-23074	264	21	spectral	spectral	ADJ
brj-23074	264	22	data	datum	NOUN
brj-23074	264	23	of	of	ADP
brj-23074	264	24	printing	printing	NOUN
brj-23074	264	25	paper	paper	NOUN
brj-23074	264	26	samples	sample	NOUN
brj-23074	264	27	exhibited	exhibit	VERB
brj-23074	264	28	high	high	ADJ
brj-23074	264	29	performance	performance	NOUN
brj-23074	264	30	in	in	ADP
brj-23074	264	31	classifying	classify	VERB
brj-23074	264	32	the	the	DET
brj-23074	264	33	origin	origin	NOUN
brj-23074	264	34	of	of	ADP
brj-23074	264	35	printing	printing	NOUN
brj-23074	264	36	paper	paper	NOUN
brj-23074	264	37	,	,	PUNCT
brj-23074	264	38	including	include	VERB
brj-23074	264	39	the	the	DET
brj-23074	264	40	continent	continent	NOUN
brj-23074	264	41	,	,	PUNCT
brj-23074	264	42	country	country	NOUN
brj-23074	264	43	,	,	PUNCT
brj-23074	264	44	and	and	CCONJ
brj-23074	264	45	product	product	NOUN
brj-23074	264	46	name	name	NOUN
brj-23074	264	47	.	.	PUNCT
brj-23074	265	1	2	2	X
brj-23074	265	2	.	.	X
brj-23074	265	3	the	the	DET
brj-23074	265	4	preprocessing	preprocessing	NOUN
brj-23074	265	5	of	of	ADP
brj-23074	265	6	the	the	DET
brj-23074	265	7	ir	ir	PROPN
brj-23074	265	8	spectra	spectra	PROPN
brj-23074	265	9	through	through	ADP
brj-23074	265	10	a	a	DET
brj-23074	265	11	second	second	ADJ
brj-23074	265	12	-	-	PUNCT
brj-23074	265	13	derivative	derivative	ADJ
brj-23074	265	14	transformation	transformation	NOUN
brj-23074	265	15	improved	improve	VERB
brj-23074	265	16	the	the	DET
brj-23074	265	17	classification	classification	NOUN
brj-23074	265	18	performance	performance	NOUN
brj-23074	265	19	of	of	ADP
brj-23074	265	20	1d	1d	NUM
brj-23074	265	21	cnn	cnn	NOUN
brj-23074	265	22	models	model	NOUN
brj-23074	265	23	.	.	PUNCT
brj-23074	266	1	in	in	ADP
brj-23074	266	2	addition	addition	NOUN
brj-23074	266	3	,	,	PUNCT
brj-23074	266	4	narrowing	narrow	VERB
brj-23074	266	5	the	the	DET
brj-23074	266	6	ir	ir	PROPN
brj-23074	266	7	spectral	spectral	PROPN
brj-23074	266	8	data	datum	NOUN
brj-23074	266	9	to	to	ADP
brj-23074	266	10	the	the	DET
brj-23074	266	11	range	range	NOUN
brj-23074	266	12	of	of	ADP
brj-23074	266	13	1800	1800	NUM
brj-23074	266	14	to	to	ADP
brj-23074	266	15	1200	1200	NUM
brj-23074	266	16	cm−1	cm−1	NOUN
brj-23074	266	17	proved	prove	VERB
brj-23074	266	18	to	to	PART
brj-23074	266	19	be	be	AUX
brj-23074	266	20	effective	effective	ADJ
brj-23074	266	21	for	for	ADP
brj-23074	266	22	enhancing	enhance	VERB
brj-23074	266	23	the	the	DET
brj-23074	266	24	model	model	NOUN
brj-23074	266	25	performance	performance	NOUN
brj-23074	266	26	.	.	PUNCT
brj-23074	267	1	3	3	X
brj-23074	267	2	.	.	X
brj-23074	267	3	the	the	DET
brj-23074	267	4	model	model	NOUN
brj-23074	267	5	trained	train	VERB
brj-23074	267	6	with	with	ADP
brj-23074	267	7	the	the	DET
brj-23074	267	8	second	second	ADJ
brj-23074	267	9	-	-	PUNCT
brj-23074	267	10	derivative	derivative	ADJ
brj-23074	267	11	ir	ir	NOUN
brj-23074	267	12	spectra	spectra	NOUN
brj-23074	267	13	in	in	ADP
brj-23074	267	14	the	the	DET
brj-23074	267	15	range	range	NOUN
brj-23074	267	16	of	of	ADP
brj-23074	267	17	1800	1800	NUM
brj-23074	267	18	to	to	ADP
brj-23074	267	19	1200	1200	NUM
brj-23074	267	20	cm−1	cm−1	NOUN
brj-23074	267	21	achieved	achieve	VERB
brj-23074	267	22	perfect	perfect	ADJ
brj-23074	267	23	classification	classification	NOUN
brj-23074	267	24	for	for	ADP
brj-23074	267	25	the	the	DET
brj-23074	267	26	continent	continent	NOUN
brj-23074	267	27	and	and	CCONJ
brj-23074	267	28	country	country	NOUN
brj-23074	267	29	of	of	ADP
brj-23074	267	30	manufacturing	manufacturing	NOUN
brj-23074	267	31	,	,	PUNCT
brj-23074	267	32	with	with	ADP
brj-23074	267	33	an	an	DET
brj-23074	267	34	f1	f1	ADJ
brj-23074	267	35	score	score	NOUN
brj-23074	267	36	of	of	ADP
brj-23074	267	37	0.980	0.980	NUM
brj-23074	267	38	in	in	ADP
brj-23074	267	39	product	product	NOUN
brj-23074	267	40	classification	classification	NOUN
brj-23074	267	41	.	.	PUNCT
brj-23074	268	1	the	the	DET
brj-23074	268	2	1d	1d	NUM
brj-23074	268	3	cnn	cnn	PROPN
brj-23074	268	4	model	model	NOUN
brj-23074	268	5	outperformed	outperform	VERB
brj-23074	268	6	the	the	DET
brj-23074	268	7	support	support	NOUN
brj-23074	268	8	vector	vector	NOUN
brj-23074	268	9	machine	machine	NOUN
brj-23074	268	10	(	(	PUNCT
brj-23074	268	11	svm	svm	PROPN
brj-23074	268	12	)	)	PUNCT
brj-23074	268	13	and	and	CCONJ
brj-23074	268	14	feed	feed	NOUN
brj-23074	268	15	-	-	PUNCT
brj-23074	268	16	forward	forward	ADV
brj-23074	268	17	neural	neural	ADJ
brj-23074	268	18	network	network	NOUN
brj-23074	268	19	(	(	PUNCT
brj-23074	268	20	fnn	fnn	PROPN
brj-23074	268	21	)	)	PUNCT
brj-23074	268	22	models	model	NOUN
brj-23074	268	23	trained	train	VERB
brj-23074	268	24	on	on	ADP
brj-23074	268	25	the	the	DET
brj-23074	268	26	same	same	ADJ
brj-23074	268	27	dataset	dataset	NOUN
brj-23074	268	28	.	.	PUNCT
brj-23074	269	1	4	4	X
brj-23074	269	2	.	.	X
brj-23074	269	3	spectral	spectral	ADJ
brj-23074	269	4	point	point	NOUN
brj-23074	269	5	attribution	attribution	NOUN
brj-23074	269	6	using	use	VERB
brj-23074	269	7	gradient	gradient	NOUN
brj-23074	269	8	-	-	PUNCT
brj-23074	269	9	weighted	weight	VERB
brj-23074	269	10	activation	activation	NOUN
brj-23074	269	11	mapping	mapping	NOUN
brj-23074	269	12	(	(	PUNCT
brj-23074	269	13	grad	grad	NOUN
brj-23074	269	14	-	-	PUNCT
brj-23074	269	15	cam	cam	NOUN
brj-23074	269	16	)	)	PUNCT
brj-23074	269	17	demonstrated	demonstrate	VERB
brj-23074	269	18	that	that	SCONJ
brj-23074	269	19	the	the	DET
brj-23074	269	20	pattern	pattern	NOUN
brj-23074	269	21	of	of	ADP
brj-23074	269	22	ir	ir	PROPN
brj-23074	269	23	absorbance	absorbance	NOUN
brj-23074	269	24	bands	band	NOUN
brj-23074	269	25	contributing	contribute	VERB
brj-23074	269	26	to	to	ADP
brj-23074	269	27	the	the	DET
brj-23074	269	28	decisions	decision	NOUN
brj-23074	269	29	of	of	ADP
brj-23074	269	30	the	the	DET
brj-23074	269	31	1d	1d	NUM
brj-23074	269	32	cnn	cnn	PROPN
brj-23074	269	33	model	model	NOUN
brj-23074	269	34	varies	vary	VERB
brj-23074	269	35	depending	depend	VERB
brj-23074	269	36	on	on	ADP
brj-23074	269	37	the	the	DET
brj-23074	269	38	classification	classification	NOUN
brj-23074	269	39	level	level	NOUN
brj-23074	269	40	and	and	CCONJ
brj-23074	269	41	provided	provide	VERB
brj-23074	269	42	insight	insight	NOUN
brj-23074	269	43	into	into	ADP
brj-23074	269	44	the	the	DET
brj-23074	269	45	classification	classification	NOUN
brj-23074	269	46	decisions	decision	NOUN
brj-23074	269	47	of	of	ADP
brj-23074	269	48	the	the	DET
brj-23074	269	49	1d	1d	NUM
brj-23074	269	50	cnn	cnn	PROPN
brj-23074	269	51	model	model	NOUN
brj-23074	269	52	.	.	PUNCT
brj-23074	270	1	peer	peer	NOUN
brj-23074	270	2	-	-	PUNCT
brj-23074	270	3	reviewed	review	VERB
brj-23074	270	4	article	article	NOUN
brj-23074	270	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	270	6	hwang	hwang	PROPN
brj-23074	270	7	et	et	PROPN
brj-23074	270	8	al	al	PROPN
brj-23074	270	9	.	.	PROPN
brj-23074	270	10	(	(	PUNCT
brj-23074	270	11	2024	2024	NUM
brj-23074	270	12	)	)	PUNCT
brj-23074	270	13	.	.	PUNCT
brj-23074	271	1	“	"	PUNCT
brj-23074	271	2	nir	nir	X
brj-23074	271	3	for	for	ADP
brj-23074	271	4	paper	paper	NOUN
brj-23074	271	5	classification	classification	NOUN
brj-23074	271	6	,	,	PUNCT
brj-23074	271	7	”	"	PUNCT
brj-23074	271	8	bioresources	bioresource	NOUN
brj-23074	271	9	19(1	19(1	NUM
brj-23074	271	10	)	)	PUNCT
brj-23074	271	11	,	,	PUNCT
brj-23074	271	12	1633	1633	NUM
brj-23074	271	13	-	-	SYM
brj-23074	271	14	1651	1651	NUM
brj-23074	271	15	.	.	PUNCT
brj-23074	272	1	1649	1649	NUM
brj-23074	272	2	acknowledgements	acknowledgement	NOUN
brj-23074	272	3	this	this	DET
brj-23074	272	4	study	study	NOUN
brj-23074	272	5	was	be	AUX
brj-23074	272	6	conducted	conduct	VERB
brj-23074	272	7	with	with	ADP
brj-23074	272	8	the	the	DET
brj-23074	272	9	support	support	NOUN
brj-23074	272	10	of	of	ADP
brj-23074	272	11	the	the	DET
brj-23074	272	12	‘	'	PUNCT
brj-23074	272	13	r&d	r&d	NOUN
brj-23074	272	14	program	program	NOUN
brj-23074	272	15	for	for	ADP
brj-23074	272	16	forest	forest	NOUN
brj-23074	272	17	science	science	NOUN
brj-23074	272	18	technology	technology	NOUN
brj-23074	272	19	(	(	PUNCT
brj-23074	272	20	project	project	NOUN
brj-23074	272	21	no	no	INTJ
brj-23074	272	22	.	.	PUNCT
brj-23074	273	1	ftis-2019149c10	ftis-2019149c10	NUM
brj-23074	273	2	-	-	SYM
brj-23074	273	3	2323	2323	NUM
brj-23074	273	4	-	-	PUNCT
brj-23074	273	5	0301	0301	NUM
brj-23074	273	6	)	)	PUNCT
brj-23074	273	7	’	'	PUNCT
brj-23074	274	1	provided	provide	VERB
brj-23074	274	2	by	by	ADP
brj-23074	274	3	the	the	DET
brj-23074	274	4	korea	korea	PROPN
brj-23074	274	5	forest	forest	PROPN
brj-23074	274	6	service	service	PROPN
brj-23074	274	7	(	(	PUNCT
brj-23074	274	8	korea	korea	PROPN
brj-23074	274	9	forestry	forestry	PROPN
brj-23074	274	10	promotion	promotion	PROPN
brj-23074	274	11	institute	institute	PROPN
brj-23074	274	12	)	)	PUNCT
brj-23074	274	13	and	and	CCONJ
brj-23074	274	14	the	the	DET
brj-23074	274	15	basic	basic	ADJ
brj-23074	274	16	science	science	NOUN
brj-23074	274	17	research	research	NOUN
brj-23074	274	18	program	program	NOUN
brj-23074	274	19	through	through	ADP
brj-23074	274	20	the	the	DET
brj-23074	274	21	national	national	PROPN
brj-23074	274	22	research	research	PROPN
brj-23074	274	23	foundation	foundation	PROPN
brj-23074	274	24	of	of	ADP
brj-23074	274	25	korea	korea	PROPN
brj-23074	274	26	(	(	PUNCT
brj-23074	274	27	nrf	nrf	NOUN
brj-23074	274	28	)	)	PUNCT
brj-23074	274	29	funded	fund	VERB
brj-23074	274	30	by	by	ADP
brj-23074	274	31	the	the	DET
brj-23074	274	32	ministry	ministry	PROPN
brj-23074	274	33	of	of	ADP
brj-23074	274	34	education	education	PROPN
brj-23074	274	35	(	(	PUNCT
brj-23074	274	36	nrf	nrf	NUM
brj-23074	274	37	-	-	PUNCT
brj-23074	274	38	rs-2023	rs-2023	NOUN
brj-23074	274	39	-	-	PUNCT
brj-23074	274	40	00246356	00246356	NUM
brj-23074	274	41	)	)	PUNCT
brj-23074	274	42	.	.	PUNCT
brj-23074	275	1	references	reference	NOUN
brj-23074	275	2	cited	cite	VERB
brj-23074	275	3	anzanello	anzanello	PROPN
brj-23074	275	4	,	,	PUNCT
brj-23074	275	5	m.	m.	NOUN
brj-23074	275	6	j.	j.	PROPN
brj-23074	275	7	,	,	PUNCT
brj-23074	275	8	and	and	CCONJ
brj-23074	275	9	fogliatto	fogliatto	ADJ
brj-23074	275	10	,	,	PUNCT
brj-23074	275	11	f.	f.	PROPN
brj-23074	275	12	s.	s.	PROPN
brj-23074	275	13	(	(	PUNCT
brj-23074	275	14	2011	2011	NUM
brj-23074	275	15	)	)	PUNCT
brj-23074	275	16	.	.	PUNCT
brj-23074	276	1	“	"	PUNCT
brj-23074	276	2	learning	learn	VERB
brj-23074	276	3	curve	curve	NOUN
brj-23074	276	4	models	model	NOUN
brj-23074	276	5	and	and	CCONJ
brj-23074	276	6	applications	application	NOUN
brj-23074	276	7	:	:	PUNCT
brj-23074	276	8	literature	literature	NOUN
brj-23074	276	9	review	review	NOUN
brj-23074	276	10	and	and	CCONJ
brj-23074	276	11	research	research	NOUN
brj-23074	276	12	directions	direction	NOUN
brj-23074	276	13	,	,	PUNCT
brj-23074	276	14	”	"	PUNCT
brj-23074	276	15	international	international	ADJ
brj-23074	276	16	journal	journal	NOUN
brj-23074	276	17	of	of	ADP
brj-23074	276	18	industrial	industrial	ADJ
brj-23074	276	19	ergonomics	ergonomic	NOUN
brj-23074	276	20	41(5	41(5	NUM
brj-23074	276	21	)	)	PUNCT
brj-23074	276	22	,	,	PUNCT
brj-23074	276	23	573	573	NUM
brj-23074	276	24	-	-	SYM
brj-23074	276	25	583	583	NUM
brj-23074	276	26	.	.	PUNCT
brj-23074	277	1	doi	doi	NOUN
brj-23074	277	2	:	:	PUNCT
brj-23074	277	3	10.1016	10.1016	NUM
brj-23074	277	4	/	/	SYM
brj-23074	277	5	j.ergon.2011.05.001	j.ergon.2011.05.001	NOUN
brj-23074	277	6	australian	australian	ADJ
brj-23074	277	7	government	government	NOUN
brj-23074	277	8	.	.	PUNCT
brj-23074	278	1	(	(	PUNCT
brj-23074	278	2	2012	2012	NUM
brj-23074	278	3	)	)	PUNCT
brj-23074	278	4	.	.	PUNCT
brj-23074	279	1	“	"	PUNCT
brj-23074	279	2	illegal	illegal	ADJ
brj-23074	279	3	logging	log	VERB
brj-23074	279	4	prohibition	prohibition	NOUN
brj-23074	279	5	regulation	regulation	NOUN
brj-23074	279	6	2012	2012	NUM
brj-23074	279	7	,	,	PUNCT
brj-23074	279	8	”	"	PUNCT
brj-23074	279	9	federal	federal	ADJ
brj-23074	279	10	register	register	NOUN
brj-23074	279	11	of	of	ADP
brj-23074	279	12	legislation	legislation	NOUN
brj-23074	279	13	,	,	PUNCT
brj-23074	279	14	australian	australian	ADJ
brj-23074	279	15	government	government	NOUN
brj-23074	279	16	,	,	PUNCT
brj-23074	279	17	(	(	PUNCT
brj-23074	279	18	https://www.legislation.gov.au/details/f2022c00209	https://www.legislation.gov.au/details/f2022c00209	PROPN
brj-23074	279	19	)	)	PUNCT
brj-23074	279	20	,	,	PUNCT
brj-23074	279	21	accessed	access	VERB
brj-23074	279	22	30	30	NUM
brj-23074	279	23	oct	oct	NOUN
brj-23074	279	24	2023	2023	NUM
brj-23074	279	25	.	.	PUNCT
brj-23074	280	1	causin	causin	NOUN
brj-23074	280	2	,	,	PUNCT
brj-23074	280	3	v.	v.	PROPN
brj-23074	280	4	,	,	PUNCT
brj-23074	280	5	marega	marega	PROPN
brj-23074	280	6	,	,	PUNCT
brj-23074	280	7	c.	c.	PROPN
brj-23074	280	8	,	,	PUNCT
brj-23074	280	9	marigo	marigo	PROPN
brj-23074	280	10	,	,	PUNCT
brj-23074	280	11	a.	a.	PROPN
brj-23074	280	12	,	,	PUNCT
brj-23074	280	13	casamassima	casamassima	PROPN
brj-23074	280	14	,	,	PUNCT
brj-23074	280	15	r.	r.	PROPN
brj-23074	280	16	,	,	PUNCT
brj-23074	280	17	peluso	peluso	PROPN
brj-23074	280	18	,	,	PUNCT
brj-23074	280	19	g.	g.	PROPN
brj-23074	280	20	,	,	PUNCT
brj-23074	280	21	and	and	CCONJ
brj-23074	280	22	ripani	ripani	PROPN
brj-23074	280	23	,	,	PUNCT
brj-23074	280	24	l.	l.	PROPN
brj-23074	280	25	(	(	PUNCT
brj-23074	280	26	2010	2010	NUM
brj-23074	280	27	)	)	PUNCT
brj-23074	280	28	.	.	PUNCT
brj-23074	281	1	“	"	PUNCT
brj-23074	281	2	forensic	forensic	ADJ
brj-23074	281	3	differentiation	differentiation	NOUN
brj-23074	281	4	of	of	ADP
brj-23074	281	5	paper	paper	NOUN
brj-23074	281	6	by	by	ADP
brj-23074	281	7	x	x	ADJ
brj-23074	281	8	-	-	NOUN
brj-23074	281	9	ray	ray	NOUN
brj-23074	281	10	diffraction	diffraction	NOUN
brj-23074	281	11	and	and	CCONJ
brj-23074	281	12	infrared	infrared	ADJ
brj-23074	281	13	spectroscopy	spectroscopy	NOUN
brj-23074	281	14	,	,	PUNCT
brj-23074	281	15	”	"	PUNCT
brj-23074	281	16	forensic	forensic	ADJ
brj-23074	281	17	science	science	NOUN
brj-23074	281	18	international	international	ADJ
brj-23074	281	19	197(1	197(1	NUM
brj-23074	281	20	-	-	SYM
brj-23074	281	21	3	3	NUM
brj-23074	281	22	)	)	PUNCT
brj-23074	281	23	,	,	PUNCT
brj-23074	281	24	70	70	NUM
brj-23074	281	25	-	-	SYM
brj-23074	281	26	74	74	NUM
brj-23074	281	27	.	.	PUNCT
brj-23074	282	1	doi	doi	NOUN
brj-23074	282	2	:	:	PUNCT
brj-23074	282	3	10.1016	10.1016	NUM
brj-23074	282	4	/	/	SYM
brj-23074	282	5	j.forsciint.2009.12.056	j.forsciint.2009.12.056	PROPN
brj-23074	282	6	chang	chang	PROPN
brj-23074	282	7	,	,	PUNCT
brj-23074	282	8	y.	y.	PROPN
brj-23074	282	9	s.	s.	PROPN
brj-23074	282	10	,	,	PUNCT
brj-23074	282	11	yang	yang	PROPN
brj-23074	282	12	,	,	PUNCT
brj-23074	282	13	s.	s.	PROPN
brj-23074	282	14	y.	y.	PROPN
brj-23074	282	15	,	,	PUNCT
brj-23074	282	16	chung	chung	PROPN
brj-23074	282	17	,	,	PUNCT
brj-23074	282	18	h.	h.	PROPN
brj-23074	282	19	,	,	PUNCT
brj-23074	282	20	kang	kang	PROPN
brj-23074	282	21	,	,	PUNCT
brj-23074	282	22	k.	k.	PROPN
brj-23074	282	23	y.	y.	PROPN
brj-23074	282	24	,	,	PUNCT
brj-23074	282	25	choi	choi	PROPN
brj-23074	282	26	,	,	PUNCT
brj-23074	282	27	j.	j.	PROPN
brj-23074	282	28	w.	w.	PROPN
brj-23074	282	29	,	,	PUNCT
brj-23074	282	30	choi	choi	PROPN
brj-23074	282	31	,	,	PUNCT
brj-23074	282	32	i.	i.	PROPN
brj-23074	282	33	g.	g.	PROPN
brj-23074	282	34	,	,	PUNCT
brj-23074	282	35	and	and	CCONJ
brj-23074	282	36	yeo	yeo	PROPN
brj-23074	282	37	,	,	PUNCT
brj-23074	282	38	h.	h.	PROPN
brj-23074	282	39	(	(	PUNCT
brj-23074	282	40	2015	2015	NUM
brj-23074	282	41	)	)	PUNCT
brj-23074	282	42	.	.	PUNCT
brj-23074	283	1	“	"	PUNCT
brj-23074	283	2	development	development	NOUN
brj-23074	283	3	of	of	ADP
brj-23074	283	4	moisture	moisture	NOUN
brj-23074	283	5	content	content	NOUN
brj-23074	283	6	prediction	prediction	NOUN
brj-23074	283	7	model	model	NOUN
brj-23074	283	8	for	for	ADP
brj-23074	283	9	larix	larix	PROPN
brj-23074	283	10	kaempferi	kaempferi	PROPN
brj-23074	283	11	sawdust	sawdust	NOUN
brj-23074	283	12	using	use	VERB
brj-23074	283	13	near	near	ADP
brj-23074	283	14	infrared	infrared	ADJ
brj-23074	283	15	spectroscopy	spectroscopy	NOUN
brj-23074	283	16	,	,	PUNCT
brj-23074	283	17	”	"	PUNCT
brj-23074	283	18	journal	journal	NOUN
brj-23074	283	19	of	of	ADP
brj-23074	283	20	the	the	DET
brj-23074	283	21	korean	korean	ADJ
brj-23074	283	22	wood	wood	NOUN
brj-23074	283	23	science	science	NOUN
brj-23074	283	24	and	and	CCONJ
brj-23074	283	25	technology	technology	NOUN
brj-23074	283	26	43(3	43(3	NUM
brj-23074	283	27	)	)	PUNCT
brj-23074	283	28	,	,	PUNCT
brj-23074	283	29	304	304	NUM
brj-23074	283	30	-	-	SYM
brj-23074	283	31	310	310	NUM
brj-23074	283	32	.	.	PUNCT
brj-23074	284	1	doi	doi	NOUN
brj-23074	284	2	:	:	PUNCT
brj-23074	284	3	10.5658	10.5658	NUM
brj-23074	284	4	/	/	SYM
brj-23074	284	5	wood.2015.43.3.304	wood.2015.43.3.304	PROPN
brj-23074	284	6	chen	chen	PROPN
brj-23074	284	7	,	,	PUNCT
brj-23074	284	8	z.	z.	PROPN
brj-23074	284	9	,	,	PUNCT
brj-23074	284	10	zhai	zhai	PROPN
brj-23074	284	11	,	,	PUNCT
brj-23074	284	12	r.	r.	PROPN
brj-23074	284	13	,	,	PUNCT
brj-23074	284	14	cai	cai	PROPN
brj-23074	284	15	,	,	PUNCT
brj-23074	284	16	y.	y.	PROPN
brj-23074	284	17	,	,	PUNCT
brj-23074	284	18	ye	ye	PRON
brj-23074	284	19	,	,	PUNCT
brj-23074	284	20	y.	y.	NOUN
brj-23074	284	21	,	,	PUNCT
brj-23074	284	22	sun	sun	PROPN
brj-23074	284	23	,	,	PUNCT
brj-23074	284	24	z.	z.	PROPN
brj-23074	284	25	,	,	PUNCT
brj-23074	284	26	and	and	CCONJ
brj-23074	284	27	liu	liu	PROPN
brj-23074	284	28	,	,	PUNCT
brj-23074	284	29	y.	y.	PROPN
brj-23074	284	30	(	(	PUNCT
brj-23074	284	31	2023	2023	NUM
brj-23074	284	32	)	)	PUNCT
brj-23074	284	33	.	.	PUNCT
brj-23074	285	1	“	"	PUNCT
brj-23074	285	2	online	online	ADJ
brj-23074	285	3	source	source	NOUN
brj-23074	285	4	tracing	trace	VERB
brj-23074	285	5	of	of	ADP
brj-23074	285	6	waste	waste	NOUN
brj-23074	285	7	paper	paper	NOUN
brj-23074	285	8	by	by	ADP
brj-23074	285	9	smoke	smoke	NOUN
brj-23074	285	10	based	base	VERB
brj-23074	285	11	on	on	ADP
brj-23074	285	12	laser	laser	NOUN
brj-23074	285	13	-	-	PUNCT
brj-23074	285	14	induced	induce	VERB
brj-23074	285	15	breakdown	breakdown	NOUN
brj-23074	285	16	spectroscopy	spectroscopy	NOUN
brj-23074	285	17	,	,	PUNCT
brj-23074	285	18	”	"	PUNCT
brj-23074	285	19	journal	journal	NOUN
brj-23074	285	20	of	of	ADP
brj-23074	285	21	laser	laser	NOUN
brj-23074	285	22	applications	application	NOUN
brj-23074	285	23	35	35	NUM
brj-23074	285	24	,	,	PUNCT
brj-23074	285	25	article	article	NOUN
brj-23074	285	26	042031	042031	NUM
brj-23074	285	27	.	.	PUNCT
brj-23074	286	1	doi	doi	NOUN
brj-23074	286	2	:	:	PUNCT
brj-23074	286	3	10.2351/7.0001226	10.2351/7.0001226	NUM
brj-23074	286	4	colom	colom	PROPN
brj-23074	286	5	,	,	PUNCT
brj-23074	286	6	x.	x.	NOUN
brj-23074	286	7	,	,	PUNCT
brj-23074	286	8	and	and	CCONJ
brj-23074	286	9	carrillo	carrillo	PROPN
brj-23074	286	10	,	,	PUNCT
brj-23074	286	11	f.	f.	PROPN
brj-23074	286	12	(	(	PUNCT
brj-23074	286	13	2002	2002	NUM
brj-23074	286	14	)	)	PUNCT
brj-23074	286	15	.	.	PUNCT
brj-23074	287	1	“	"	PUNCT
brj-23074	287	2	crystallinity	crystallinity	NOUN
brj-23074	287	3	changes	change	NOUN
brj-23074	287	4	in	in	ADP
brj-23074	287	5	lyocell	lyocell	NOUN
brj-23074	287	6	and	and	CCONJ
brj-23074	287	7	viscose	viscose	NOUN
brj-23074	287	8	-	-	PUNCT
brj-23074	287	9	type	type	NOUN
brj-23074	287	10	fibres	fibre	NOUN
brj-23074	287	11	by	by	ADP
brj-23074	287	12	caustic	caustic	ADJ
brj-23074	287	13	treatment	treatment	NOUN
brj-23074	287	14	,	,	PUNCT
brj-23074	287	15	”	"	PUNCT
brj-23074	287	16	european	european	ADJ
brj-23074	287	17	polymer	polymer	NOUN
brj-23074	287	18	journal	journal	NOUN
brj-23074	287	19	38(11	38(11	NUM
brj-23074	287	20	)	)	PUNCT
brj-23074	287	21	,	,	PUNCT
brj-23074	287	22	2225	2225	NUM
brj-23074	287	23	-	-	SYM
brj-23074	287	24	2230	2230	NUM
brj-23074	287	25	.	.	PUNCT
brj-23074	288	1	doi	doi	NOUN
brj-23074	288	2	:	:	PUNCT
brj-23074	288	3	10.1016	10.1016	NUM
brj-23074	288	4	/	/	SYM
brj-23074	288	5	s0014	s0014	PROPN
brj-23074	288	6	-	-	PUNCT
brj-23074	288	7	3057(02)00132	3057(02)00132	NUM
brj-23074	288	8	-	-	SYM
brj-23074	288	9	5	5	NUM
brj-23074	288	10	coppola	coppola	PROPN
brj-23074	288	11	,	,	PUNCT
brj-23074	288	12	f.	f.	PROPN
brj-23074	288	13	,	,	PUNCT
brj-23074	288	14	frigau	frigau	PROPN
brj-23074	288	15	,	,	PUNCT
brj-23074	288	16	l.	l.	PROPN
brj-23074	288	17	,	,	PUNCT
brj-23074	288	18	markelj	markelj	NOUN
brj-23074	288	19	,	,	PUNCT
brj-23074	288	20	j.	j.	PROPN
brj-23074	288	21	,	,	PUNCT
brj-23074	288	22	malešič	malešič	PROPN
brj-23074	288	23	,	,	PUNCT
brj-23074	288	24	j.	j.	PROPN
brj-23074	288	25	,	,	PUNCT
brj-23074	288	26	conversano	conversano	PROPN
brj-23074	288	27	,	,	PUNCT
brj-23074	288	28	c.	c.	PROPN
brj-23074	288	29	,	,	PUNCT
brj-23074	288	30	and	and	CCONJ
brj-23074	288	31	strlič	strlič	NOUN
brj-23074	288	32	,	,	PUNCT
brj-23074	288	33	m.	m.	NOUN
brj-23074	288	34	(	(	PUNCT
brj-23074	288	35	2023	2023	NUM
brj-23074	288	36	)	)	PUNCT
brj-23074	288	37	.	.	PUNCT
brj-23074	289	1	“	"	PUNCT
brj-23074	289	2	near	near	ADV
brj-23074	289	3	-	-	PUNCT
brj-23074	289	4	infrared	infrared	ADJ
brj-23074	289	5	spectroscopy	spectroscopy	NOUN
brj-23074	289	6	and	and	CCONJ
brj-23074	289	7	machine	machine	NOUN
brj-23074	289	8	learning	learn	VERB
brj-23074	289	9	for	for	ADP
brj-23074	289	10	accurate	accurate	ADJ
brj-23074	289	11	dating	dating	NOUN
brj-23074	289	12	of	of	ADP
brj-23074	289	13	historical	historical	ADJ
brj-23074	289	14	books	book	NOUN
brj-23074	289	15	.	.	PUNCT
brj-23074	289	16	”	"	PUNCT
brj-23074	289	17	journal	journal	NOUN
brj-23074	289	18	of	of	ADP
brj-23074	289	19	the	the	DET
brj-23074	289	20	american	american	PROPN
brj-23074	289	21	chemical	chemical	PROPN
brj-23074	289	22	society	society	PROPN
brj-23074	289	23	145	145	NUM
brj-23074	289	24	,	,	PUNCT
brj-23074	289	25	12305	12305	NUM
brj-23074	289	26	-	-	SYM
brj-23074	289	27	12314	12314	NUM
brj-23074	289	28	.	.	PUNCT
brj-23074	290	1	doi	doi	NOUN
brj-23074	290	2	:	:	PUNCT
brj-23074	290	3	10.1021	10.1021	NUM
brj-23074	290	4	/	/	SYM
brj-23074	290	5	jacs.3c02835	jacs.3c02835	NOUN
brj-23074	290	6	delmotte	delmotte	NOUN
brj-23074	290	7	,	,	PUNCT
brj-23074	290	8	l.	l.	PROPN
brj-23074	290	9	,	,	PUNCT
brj-23074	290	10	ganne	ganne	NOUN
brj-23074	290	11	-	-	PUNCT
brj-23074	290	12	chedeville	chedeville	NOUN
brj-23074	290	13	,	,	PUNCT
brj-23074	290	14	c.	c.	NOUN
brj-23074	290	15	,	,	PUNCT
brj-23074	290	16	leban	leban	PROPN
brj-23074	290	17	,	,	PUNCT
brj-23074	290	18	j.	j.	PROPN
brj-23074	290	19	m.	m.	PROPN
brj-23074	290	20	,	,	PUNCT
brj-23074	290	21	pizzi	pizzi	PROPN
brj-23074	290	22	,	,	PUNCT
brj-23074	290	23	a.	a.	NOUN
brj-23074	290	24	,	,	PUNCT
brj-23074	290	25	and	and	CCONJ
brj-23074	290	26	pichelin	pichelin	PROPN
brj-23074	290	27	,	,	PUNCT
brj-23074	290	28	f.	f.	PROPN
brj-23074	290	29	(	(	PUNCT
brj-23074	290	30	2008	2008	NUM
brj-23074	290	31	)	)	PUNCT
brj-23074	290	32	.	.	PUNCT
brj-23074	291	1	“	"	PUNCT
brj-23074	291	2	cpmas	cpma	NOUN
brj-23074	291	3	13c	13c	NOUN
brj-23074	291	4	nmr	nmr	NOUN
brj-23074	291	5	and	and	CCONJ
brj-23074	291	6	ft	ft	PROPN
brj-23074	291	7	-	-	PUNCT
brj-23074	291	8	ir	ir	NOUN
brj-23074	291	9	investigation	investigation	NOUN
brj-23074	291	10	of	of	ADP
brj-23074	291	11	the	the	DET
brj-23074	291	12	degradation	degradation	NOUN
brj-23074	291	13	reactions	reaction	NOUN
brj-23074	291	14	of	of	ADP
brj-23074	291	15	polymer	polymer	NOUN
brj-23074	291	16	constituents	constituent	NOUN
brj-23074	291	17	in	in	ADP
brj-23074	291	18	wood	wood	NOUN
brj-23074	291	19	welding	welding	NOUN
brj-23074	291	20	,	,	PUNCT
brj-23074	291	21	”	"	PUNCT
brj-23074	291	22	polymer	polymer	NOUN
brj-23074	291	23	degradation	degradation	NOUN
brj-23074	291	24	and	and	CCONJ
brj-23074	291	25	stability	stability	NOUN
brj-23074	291	26	93(2	93(2	NOUN
brj-23074	291	27	)	)	PUNCT
brj-23074	291	28	,	,	PUNCT
brj-23074	291	29	406	406	NUM
brj-23074	291	30	-	-	SYM
brj-23074	291	31	412	412	NUM
brj-23074	291	32	.	.	PUNCT
brj-23074	291	33	doi	doi	NOUN
brj-23074	291	34	:	:	PUNCT
brj-23074	291	35	10.1016	10.1016	NUM
brj-23074	291	36	/	/	SYM
brj-23074	291	37	j.polymdegradstab.2007.11.020	j.polymdegradstab.2007.11.020	PROPN
brj-23074	291	38	european	european	PROPN
brj-23074	291	39	commission	commission	PROPN
brj-23074	291	40	.	.	PUNCT
brj-23074	292	1	(	(	PUNCT
brj-23074	292	2	2023	2023	NUM
brj-23074	292	3	)	)	PUNCT
brj-23074	292	4	.	.	PUNCT
brj-23074	293	1	“	"	PUNCT
brj-23074	293	2	eu	eu	PROPN
brj-23074	293	3	timber	timber	NOUN
brj-23074	293	4	regulation	regulation	NOUN
brj-23074	293	5	,	,	PUNCT
brj-23074	293	6	”	"	PUNCT
brj-23074	293	7	european	european	PROPN
brj-23074	293	8	commission	commission	PROPN
brj-23074	293	9	,	,	PUNCT
brj-23074	293	10	(	(	PUNCT
brj-23074	293	11	https://environment.ec.europa.eu/topics/forests/deforestation/illegal-logging/timberregulation_en	https://environment.ec.europa.eu/topics/forests/deforestation/illegal-logging/timberregulation_en	PROPN
brj-23074	293	12	)	)	PUNCT
brj-23074	293	13	,	,	PUNCT
brj-23074	293	14	accessed	access	VERB
brj-23074	293	15	20	20	NUM
brj-23074	293	16	oct	oct	NOUN
brj-23074	293	17	2023	2023	NUM
brj-23074	293	18	.	.	PUNCT
brj-23074	294	1	federal	federal	ADJ
brj-23074	294	2	register	register	NOUN
brj-23074	294	3	.	.	PUNCT
brj-23074	295	1	(	(	PUNCT
brj-23074	295	2	2021	2021	NUM
brj-23074	295	3	)	)	PUNCT
brj-23074	295	4	.	.	PUNCT
brj-23074	296	1	“	"	PUNCT
brj-23074	296	2	implementation	implementation	NOUN
brj-23074	296	3	of	of	ADP
brj-23074	296	4	revised	revise	VERB
brj-23074	296	5	lacey	lacey	PROPN
brj-23074	296	6	act	act	PROPN
brj-23074	296	7	provisions	provision	NOUN
brj-23074	296	8	,	,	PUNCT
brj-23074	296	9	”	"	PUNCT
brj-23074	296	10	the	the	DET
brj-23074	296	11	daily	daily	ADJ
brj-23074	296	12	jounal	jounal	NOUN
brj-23074	296	13	of	of	ADP
brj-23074	296	14	the	the	DET
brj-23074	296	15	united	united	PROPN
brj-23074	296	16	states	states	PROPN
brj-23074	296	17	government	government	NOUN
brj-23074	296	18	,	,	PUNCT
brj-23074	296	19	federal	federal	ADJ
brj-23074	296	20	register	register	NOUN
brj-23074	296	21	,	,	PUNCT
brj-23074	296	22	(	(	PUNCT
brj-23074	296	23	https://www.federalregister.gov/documents/2021/07/02/2021-14155/implementationof-revised-lacey-act-provisions	https://www.federalregister.gov/documents/2021/07/02/2021-14155/implementationof-revised-lacey-act-provision	NOUN
brj-23074	296	24	)	)	PUNCT
brj-23074	296	25	,	,	PUNCT
brj-23074	296	26	accessed	access	VERB
brj-23074	296	27	20	20	NUM
brj-23074	296	28	oct	oct	NOUN
brj-23074	296	29	2023	2023	NUM
brj-23074	296	30	.	.	PUNCT
brj-23074	297	1	feng	feng	PROPN
brj-23074	297	2	,	,	PUNCT
brj-23074	297	3	j.	j.	PROPN
brj-23074	297	4	,	,	PUNCT
brj-23074	297	5	wan	wan	PROPN
brj-23074	297	6	,	,	PUNCT
brj-23074	297	7	e.	e.	PROPN
brj-23074	297	8	,	,	PUNCT
brj-23074	297	9	han	han	PROPN
brj-23074	297	10	,	,	PUNCT
brj-23074	297	11	b.	b.	PROPN
brj-23074	297	12	,	,	PUNCT
brj-23074	297	13	chen	chen	PROPN
brj-23074	297	14	,	,	PUNCT
brj-23074	297	15	z.	z.	PROPN
brj-23074	297	16	,	,	PUNCT
brj-23074	297	17	liu	liu	PROPN
brj-23074	297	18	,	,	PUNCT
brj-23074	297	19	x.	x.	NOUN
brj-23074	297	20	,	,	PUNCT
brj-23074	297	21	and	and	CCONJ
brj-23074	297	22	liu	liu	PROPN
brj-23074	297	23	,	,	PUNCT
brj-23074	297	24	y.	y.	PROPN
brj-23074	297	25	(	(	PUNCT
brj-23074	297	26	2023	2023	NUM
brj-23074	297	27	)	)	PUNCT
brj-23074	297	28	.	.	PUNCT
brj-23074	298	1	“	"	PUNCT
brj-23074	298	2	research	research	NOUN
brj-23074	298	3	on	on	ADP
brj-23074	298	4	identification	identification	NOUN
brj-23074	298	5	of	of	ADP
brj-23074	298	6	ink	ink	NOUN
brj-23074	298	7	marks	mark	NOUN
brj-23074	298	8	based	base	VERB
brj-23074	298	9	on	on	ADP
brj-23074	298	10	machine	machine	NOUN
brj-23074	298	11	learning	learning	NOUN
brj-23074	298	12	and	and	CCONJ
brj-23074	298	13	laser	laser	NOUN
brj-23074	298	14	-	-	PUNCT
brj-23074	298	15	induced	induce	VERB
brj-23074	298	16	breakdown	breakdown	ADJ
brj-23074	298	17	peer	peer	NOUN
brj-23074	298	18	-	-	PUNCT
brj-23074	298	19	reviewed	review	VERB
brj-23074	298	20	article	article	NOUN
brj-23074	298	21	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	298	22	hwang	hwang	PROPN
brj-23074	298	23	et	et	PROPN
brj-23074	298	24	al	al	PROPN
brj-23074	298	25	.	.	PROPN
brj-23074	299	1	(	(	PUNCT
brj-23074	299	2	2024	2024	NUM
brj-23074	299	3	)	)	PUNCT
brj-23074	299	4	.	.	PUNCT
brj-23074	300	1	“	"	PUNCT
brj-23074	300	2	nir	nir	X
brj-23074	300	3	for	for	ADP
brj-23074	300	4	paper	paper	NOUN
brj-23074	300	5	classification	classification	NOUN
brj-23074	300	6	,	,	PUNCT
brj-23074	300	7	”	"	PUNCT
brj-23074	300	8	bioresources	bioresource	NOUN
brj-23074	300	9	19(1	19(1	NUM
brj-23074	300	10	)	)	PUNCT
brj-23074	300	11	,	,	PUNCT
brj-23074	300	12	1633	1633	NUM
brj-23074	300	13	-	-	SYM
brj-23074	300	14	1651	1651	NUM
brj-23074	300	15	.	.	PUNCT
brj-23074	301	1	1650	1650	NUM
brj-23074	301	2	spectroscopy	spectroscopy	NOUN
brj-23074	301	3	,	,	PUNCT
brj-23074	301	4	”	"	PUNCT
brj-23074	301	5	journal	journal	NOUN
brj-23074	301	6	of	of	ADP
brj-23074	301	7	laser	laser	NOUN
brj-23074	301	8	applications	application	NOUN
brj-23074	301	9	35	35	NUM
brj-23074	301	10	,	,	PUNCT
brj-23074	301	11	article	article	NOUN
brj-23074	301	12	012017	012017	NUM
brj-23074	301	13	.	.	PUNCT
brj-23074	302	1	doi	doi	NOUN
brj-23074	302	2	:	:	PUNCT
brj-23074	302	3	10.2351/7.0000895	10.2351/7.0000895	NUM
brj-23074	302	4	garside	garside	NOUN
brj-23074	302	5	,	,	PUNCT
brj-23074	302	6	p.	p.	NOUN
brj-23074	302	7	,	,	PUNCT
brj-23074	302	8	and	and	CCONJ
brj-23074	302	9	wyeth	wyeth	PROPN
brj-23074	302	10	,	,	PUNCT
brj-23074	302	11	p.	p.	NOUN
brj-23074	302	12	(	(	PUNCT
brj-23074	302	13	2003	2003	NUM
brj-23074	302	14	)	)	PUNCT
brj-23074	302	15	.	.	PUNCT
brj-23074	303	1	“	"	PUNCT
brj-23074	303	2	identification	identification	NOUN
brj-23074	303	3	of	of	ADP
brj-23074	303	4	cellulosic	cellulosic	NOUN
brj-23074	303	5	fibres	fibre	NOUN
brj-23074	303	6	by	by	ADP
brj-23074	303	7	ftir	ftir	PROPN
brj-23074	303	8	spectroscopy	spectroscopy	NOUN
brj-23074	303	9	-	-	PUNCT
brj-23074	303	10	thread	thread	NOUN
brj-23074	303	11	and	and	CCONJ
brj-23074	303	12	single	single	ADJ
brj-23074	303	13	fibre	fibre	NOUN
brj-23074	303	14	analysis	analysis	NOUN
brj-23074	303	15	by	by	ADP
brj-23074	303	16	attenuated	attenuated	ADJ
brj-23074	303	17	total	total	ADJ
brj-23074	303	18	reflectance	reflectance	NOUN
brj-23074	303	19	,	,	PUNCT
brj-23074	303	20	”	"	PUNCT
brj-23074	303	21	studies	study	NOUN
brj-23074	303	22	in	in	ADP
brj-23074	303	23	conservation	conservation	NOUN
brj-23074	303	24	48(4	48(4	PROPN
brj-23074	303	25	)	)	PUNCT
brj-23074	303	26	,	,	PUNCT
brj-23074	303	27	269	269	NUM
brj-23074	303	28	-	-	SYM
brj-23074	303	29	275	275	NUM
brj-23074	303	30	.	.	PUNCT
brj-23074	304	1	doi	doi	NOUN
brj-23074	304	2	:	:	PUNCT
brj-23074	304	3	10.1179	10.1179	NUM
brj-23074	304	4	/	/	SYM
brj-23074	304	5	sic.2003.48.4.269	sic.2003.48.4.269	PROPN
brj-23074	304	6	gümüskaya	gümüskaya	PROPN
brj-23074	304	7	,	,	PUNCT
brj-23074	304	8	e.	e.	PROPN
brj-23074	304	9	,	,	PUNCT
brj-23074	304	10	usta	usta	PROPN
brj-23074	304	11	,	,	PUNCT
brj-23074	304	12	m.	m.	NOUN
brj-23074	304	13	,	,	PUNCT
brj-23074	304	14	and	and	CCONJ
brj-23074	304	15	kirci	kirci	PROPN
brj-23074	304	16	,	,	PUNCT
brj-23074	304	17	h.	h.	PROPN
brj-23074	304	18	(	(	PUNCT
brj-23074	304	19	2003	2003	NUM
brj-23074	304	20	)	)	PUNCT
brj-23074	304	21	.	.	PUNCT
brj-23074	305	1	“	"	PUNCT
brj-23074	305	2	the	the	DET
brj-23074	305	3	effects	effect	NOUN
brj-23074	305	4	of	of	ADP
brj-23074	305	5	various	various	ADJ
brj-23074	305	6	pulping	pulp	VERB
brj-23074	305	7	conditions	condition	NOUN
brj-23074	305	8	on	on	ADP
brj-23074	305	9	crystalline	crystalline	ADJ
brj-23074	305	10	structure	structure	NOUN
brj-23074	305	11	of	of	ADP
brj-23074	305	12	cellulose	cellulose	NOUN
brj-23074	305	13	in	in	ADP
brj-23074	305	14	cotton	cotton	NOUN
brj-23074	305	15	linters	linter	NOUN
brj-23074	305	16	,	,	PUNCT
brj-23074	305	17	”	"	PUNCT
brj-23074	305	18	polymer	polymer	NOUN
brj-23074	305	19	degradation	degradation	NOUN
brj-23074	305	20	and	and	CCONJ
brj-23074	305	21	stability	stability	NOUN
brj-23074	305	22	81(3	81(3	NUM
brj-23074	305	23	)	)	PUNCT
brj-23074	305	24	,	,	PUNCT
brj-23074	305	25	559	559	NUM
brj-23074	305	26	-	-	SYM
brj-23074	305	27	564	564	NUM
brj-23074	305	28	.	.	PUNCT
brj-23074	306	1	doi	doi	NOUN
brj-23074	306	2	:	:	PUNCT
brj-23074	306	3	10.1016	10.1016	NUM
brj-23074	306	4	/	/	SYM
brj-23074	306	5	s0141	s0141	PROPN
brj-23074	306	6	-	-	ADJ
brj-23074	306	7	3910(03)00157	3910(03)00157	NUM
brj-23074	306	8	-	-	SYM
brj-23074	306	9	5	5	NUM
brj-23074	306	10	hajji	hajji	NOUN
brj-23074	306	11	,	,	PUNCT
brj-23074	306	12	l.	l.	PROPN
brj-23074	306	13	,	,	PUNCT
brj-23074	306	14	boukir	boukir	PROPN
brj-23074	306	15	,	,	PUNCT
brj-23074	306	16	a.	a.	NOUN
brj-23074	306	17	,	,	PUNCT
brj-23074	306	18	assouik	assouik	NOUN
brj-23074	306	19	,	,	PUNCT
brj-23074	306	20	j.	j.	PROPN
brj-23074	306	21	,	,	PUNCT
brj-23074	306	22	pessanha	pessanha	NOUN
brj-23074	306	23	,	,	PUNCT
brj-23074	306	24	s.	s.	PROPN
brj-23074	306	25	,	,	PUNCT
brj-23074	306	26	figueirinhas	figueirinhas	PROPN
brj-23074	306	27	,	,	PUNCT
brj-23074	306	28	j.	j.	PROPN
brj-23074	306	29	l.	l.	PROPN
brj-23074	306	30	,	,	PUNCT
brj-23074	306	31	and	and	CCONJ
brj-23074	306	32	carvalho	carvalho	NOUN
brj-23074	306	33	,	,	PUNCT
brj-23074	306	34	m.	m.	NOUN
brj-23074	306	35	l.	l.	PROPN
brj-23074	306	36	(	(	PUNCT
brj-23074	306	37	2016	2016	NUM
brj-23074	306	38	)	)	PUNCT
brj-23074	306	39	.	.	PUNCT
brj-23074	307	1	“	"	PUNCT
brj-23074	307	2	artificial	artificial	ADJ
brj-23074	307	3	aging	age	VERB
brj-23074	307	4	paper	paper	NOUN
brj-23074	307	5	to	to	PART
brj-23074	307	6	assess	assess	VERB
brj-23074	307	7	long	long	ADJ
brj-23074	307	8	-	-	PUNCT
brj-23074	307	9	term	term	NOUN
brj-23074	307	10	effects	effect	NOUN
brj-23074	307	11	of	of	ADP
brj-23074	307	12	conservative	conservative	ADJ
brj-23074	307	13	treatment	treatment	NOUN
brj-23074	307	14	.	.	PUNCT
brj-23074	308	1	monitoring	monitoring	NOUN
brj-23074	308	2	by	by	ADP
brj-23074	308	3	infrared	infrared	ADJ
brj-23074	308	4	spectroscopy	spectroscopy	NOUN
brj-23074	308	5	(	(	PUNCT
brj-23074	308	6	atr	atr	NOUN
brj-23074	308	7	-	-	PUNCT
brj-23074	308	8	ftir	ftir	NOUN
brj-23074	308	9	)	)	PUNCT
brj-23074	308	10	,	,	PUNCT
brj-23074	308	11	x	x	X
brj-23074	308	12	-	-	NOUN
brj-23074	308	13	ray	ray	NOUN
brj-23074	308	14	diffraction	diffraction	NOUN
brj-23074	308	15	(	(	PUNCT
brj-23074	308	16	xrd	xrd	NOUN
brj-23074	308	17	)	)	PUNCT
brj-23074	308	18	,	,	PUNCT
brj-23074	308	19	and	and	CCONJ
brj-23074	308	20	energy	energy	NOUN
brj-23074	308	21	dispersive	dispersive	ADJ
brj-23074	308	22	x	x	ADJ
brj-23074	308	23	-	-	NOUN
brj-23074	308	24	ray	ray	NOUN
brj-23074	308	25	fluorescence	fluorescence	NOUN
brj-23074	308	26	(	(	PUNCT
brj-23074	308	27	edxrf	edxrf	NOUN
brj-23074	308	28	)	)	PUNCT
brj-23074	308	29	,	,	PUNCT
brj-23074	308	30	”	"	PUNCT
brj-23074	308	31	microchemical	microchemical	ADJ
brj-23074	308	32	journal	journal	PROPN
brj-23074	308	33	124	124	NUM
brj-23074	308	34	,	,	PUNCT
brj-23074	308	35	646656	646656	NUM
brj-23074	308	36	.	.	PUNCT
brj-23074	309	1	doi	doi	NOUN
brj-23074	309	2	:	:	PUNCT
brj-23074	309	3	10.1016	10.1016	NUM
brj-23074	309	4	/	/	SYM
brj-23074	309	5	j.microc.2015.10.015	j.microc.2015.10.015	PROPN
brj-23074	309	6	hofstetter	hofstetter	PROPN
brj-23074	309	7	,	,	PUNCT
brj-23074	309	8	k.	k.	PROPN
brj-23074	309	9	,	,	PUNCT
brj-23074	309	10	hinterstoisser	hinterstoisser	PROPN
brj-23074	309	11	,	,	PUNCT
brj-23074	309	12	b.	b.	PROPN
brj-23074	309	13	,	,	PUNCT
brj-23074	309	14	and	and	CCONJ
brj-23074	309	15	salmén	salmén	NOUN
brj-23074	309	16	,	,	PUNCT
brj-23074	309	17	l.	l.	PROPN
brj-23074	309	18	(	(	PUNCT
brj-23074	309	19	2006	2006	NUM
brj-23074	309	20	)	)	PUNCT
brj-23074	309	21	.	.	PUNCT
brj-23074	310	1	“	"	PUNCT
brj-23074	310	2	moisture	moisture	VERB
brj-23074	310	3	uptake	uptake	ADJ
brj-23074	310	4	in	in	ADP
brj-23074	310	5	native	native	ADJ
brj-23074	310	6	cellulose	cellulose	NOUN
brj-23074	310	7	–	–	PUNCT
brj-23074	310	8	the	the	DET
brj-23074	310	9	roles	role	NOUN
brj-23074	310	10	of	of	ADP
brj-23074	310	11	different	different	ADJ
brj-23074	310	12	hydrogen	hydrogen	NOUN
brj-23074	310	13	bonds	bond	NOUN
brj-23074	310	14	:	:	PUNCT
brj-23074	310	15	a	a	DET
brj-23074	310	16	dynamic	dynamic	ADJ
brj-23074	310	17	ft	ft	NOUN
brj-23074	310	18	-	-	PUNCT
brj-23074	310	19	ir	ir	NOUN
brj-23074	310	20	study	study	NOUN
brj-23074	310	21	using	use	VERB
brj-23074	310	22	deuterium	deuterium	NOUN
brj-23074	310	23	exchange	exchange	NOUN
brj-23074	310	24	,	,	PUNCT
brj-23074	310	25	”	"	PUNCT
brj-23074	310	26	cellulose	cellulose	NOUN
brj-23074	310	27	13	13	NUM
brj-23074	310	28	,	,	PUNCT
brj-23074	310	29	131	131	NUM
brj-23074	310	30	-	-	SYM
brj-23074	310	31	145	145	NUM
brj-23074	310	32	.	.	PUNCT
brj-23074	311	1	doi	doi	NOUN
brj-23074	311	2	:	:	PUNCT
brj-23074	311	3	10.1007	10.1007	NUM
brj-23074	311	4	/	/	SYM
brj-23074	311	5	s10570	s10570	NOUN
brj-23074	311	6	-	-	PUNCT
brj-23074	311	7	006	006	NUM
brj-23074	311	8	-	-	PUNCT
brj-23074	311	9	9055	9055	NUM
brj-23074	311	10	-	-	SYM
brj-23074	311	11	2	2	NUM
brj-23074	311	12	horikawa	horikawa	NOUN
brj-23074	311	13	,	,	PUNCT
brj-23074	311	14	y.	y.	PROPN
brj-23074	311	15	,	,	PUNCT
brj-23074	311	16	hirano	hirano	PROPN
brj-23074	311	17	,	,	PUNCT
brj-23074	311	18	s.	s.	PROPN
brj-23074	311	19	,	,	PUNCT
brj-23074	311	20	mihashi	mihashi	NOUN
brj-23074	311	21	,	,	PUNCT
brj-23074	311	22	a.	a.	PROPN
brj-23074	311	23	,	,	PUNCT
brj-23074	311	24	kobayashi	kobayashi	PROPN
brj-23074	311	25	,	,	PUNCT
brj-23074	311	26	y.	y.	PROPN
brj-23074	311	27	,	,	PUNCT
brj-23074	311	28	zhai	zhai	PROPN
brj-23074	311	29	,	,	PUNCT
brj-23074	311	30	s.	s.	PROPN
brj-23074	311	31	,	,	PUNCT
brj-23074	311	32	and	and	CCONJ
brj-23074	311	33	sugiyama	sugiyama	NOUN
brj-23074	311	34	,	,	PUNCT
brj-23074	311	35	j.	j.	PROPN
brj-23074	311	36	(	(	PUNCT
brj-23074	311	37	2019	2019	NUM
brj-23074	311	38	)	)	PUNCT
brj-23074	311	39	.	.	PUNCT
brj-23074	312	1	“	"	PUNCT
brj-23074	312	2	prediction	prediction	NOUN
brj-23074	312	3	of	of	ADP
brj-23074	312	4	lignin	lignin	ADJ
brj-23074	312	5	contents	content	NOUN
brj-23074	312	6	from	from	ADP
brj-23074	312	7	infrared	infrared	ADJ
brj-23074	312	8	spectroscopy	spectroscopy	NOUN
brj-23074	312	9	:	:	PUNCT
brj-23074	312	10	chemical	chemical	NOUN
brj-23074	312	11	digestion	digestion	NOUN
brj-23074	312	12	and	and	CCONJ
brj-23074	312	13	lignin	lignin	NOUN
brj-23074	312	14	/	/	SYM
brj-23074	312	15	biomass	biomass	NOUN
brj-23074	312	16	ratios	ratio	NOUN
brj-23074	312	17	of	of	ADP
brj-23074	312	18	cryptomeria	cryptomeria	PROPN
brj-23074	312	19	japonica	japonica	PROPN
brj-23074	312	20	,	,	PUNCT
brj-23074	312	21	”	"	PUNCT
brj-23074	312	22	applied	apply	VERB
brj-23074	312	23	biochemistry	biochemistry	NOUN
brj-23074	312	24	and	and	CCONJ
brj-23074	312	25	biotechnology	biotechnology	NOUN
brj-23074	312	26	188	188	NUM
brj-23074	312	27	,	,	PUNCT
brj-23074	312	28	1066	1066	NUM
brj-23074	312	29	-	-	SYM
brj-23074	312	30	1076	1076	NUM
brj-23074	312	31	.	.	PUNCT
brj-23074	313	1	doi	doi	NOUN
brj-23074	313	2	:	:	PUNCT
brj-23074	313	3	10.1007	10.1007	NUM
brj-23074	313	4	/	/	SYM
brj-23074	313	5	s12010	s12010	NOUN
brj-23074	313	6	-	-	PUNCT
brj-23074	313	7	019	019	NUM
brj-23074	313	8	-	-	PUNCT
brj-23074	313	9	02965	02965	NUM
brj-23074	313	10	-	-	SYM
brj-23074	313	11	8	8	NUM
brj-23074	313	12	hwang	hwang	PROPN
brj-23074	313	13	,	,	PUNCT
brj-23074	313	14	s.	s.	PROPN
brj-23074	313	15	w.	w.	PROPN
brj-23074	313	16	,	,	PUNCT
brj-23074	313	17	horikawa	horikawa	PROPN
brj-23074	313	18	,	,	PUNCT
brj-23074	313	19	y.	y.	PROPN
brj-23074	313	20	,	,	PUNCT
brj-23074	313	21	lee	lee	PROPN
brj-23074	313	22	,	,	PUNCT
brj-23074	313	23	w.	w.	PROPN
brj-23074	313	24	h.	h.	PROPN
brj-23074	313	25	,	,	PUNCT
brj-23074	313	26	and	and	CCONJ
brj-23074	313	27	sugiyama	sugiyama	NOUN
brj-23074	313	28	,	,	PUNCT
brj-23074	313	29	j.	j.	PROPN
brj-23074	313	30	(	(	PUNCT
brj-23074	313	31	2016	2016	NUM
brj-23074	313	32	)	)	PUNCT
brj-23074	313	33	.	.	PUNCT
brj-23074	314	1	“	"	PUNCT
brj-23074	314	2	identification	identification	NOUN
brj-23074	314	3	of	of	ADP
brj-23074	314	4	pinus	pinus	NOUN
brj-23074	314	5	species	specie	NOUN
brj-23074	314	6	related	relate	VERB
brj-23074	314	7	to	to	ADP
brj-23074	314	8	historic	historic	ADJ
brj-23074	314	9	architecture	architecture	NOUN
brj-23074	314	10	in	in	ADP
brj-23074	314	11	korea	korea	PROPN
brj-23074	314	12	using	use	VERB
brj-23074	314	13	nir	nir	ADJ
brj-23074	314	14	chemometric	chemometric	ADJ
brj-23074	314	15	approaches	approach	NOUN
brj-23074	314	16	,	,	PUNCT
brj-23074	314	17	”	"	PUNCT
brj-23074	314	18	journal	journal	NOUN
brj-23074	314	19	of	of	ADP
brj-23074	314	20	wood	wood	NOUN
brj-23074	314	21	science	science	NOUN
brj-23074	314	22	62(2	62(2	NOUN
brj-23074	314	23	)	)	PUNCT
brj-23074	314	24	,	,	PUNCT
brj-23074	314	25	156	156	NUM
brj-23074	314	26	-	-	SYM
brj-23074	314	27	167	167	NUM
brj-23074	314	28	.	.	PUNCT
brj-23074	315	1	doi	doi	NOUN
brj-23074	315	2	:	:	PUNCT
brj-23074	315	3	10.1007	10.1007	NUM
brj-23074	315	4	/	/	SYM
brj-23074	315	5	s10086	s10086	NUM
brj-23074	315	6	-	-	PUNCT
brj-23074	315	7	0161540	0161540	NUM
brj-23074	315	8	-	-	SYM
brj-23074	315	9	0	0	NUM
brj-23074	315	10	hwang	hwang	PROPN
brj-23074	315	11	,	,	PUNCT
brj-23074	315	12	s.	s.	PROPN
brj-23074	315	13	w.	w.	PROPN
brj-23074	315	14	,	,	PUNCT
brj-23074	315	15	hwang	hwang	PROPN
brj-23074	315	16	,	,	PUNCT
brj-23074	315	17	u.	u.	PROPN
brj-23074	315	18	t.	t.	PROPN
brj-23074	315	19	,	,	PUNCT
brj-23074	315	20	jo	jo	PROPN
brj-23074	315	21	,	,	PUNCT
brj-23074	315	22	k.	k.	PROPN
brj-23074	315	23	,	,	PUNCT
brj-23074	315	24	lee	lee	PROPN
brj-23074	315	25	,	,	PUNCT
brj-23074	315	26	t.	t.	PROPN
brj-23074	315	27	,	,	PUNCT
brj-23074	315	28	park	park	PROPN
brj-23074	315	29	,	,	PUNCT
brj-23074	315	30	j.	j.	PROPN
brj-23074	315	31	,	,	PUNCT
brj-23074	315	32	kim	kim	PROPN
brj-23074	315	33	,	,	PUNCT
brj-23074	315	34	j.	j.	PROPN
brj-23074	315	35	c.	c.	PROPN
brj-23074	315	36	,	,	PUNCT
brj-23074	315	37	kwak	kwak	PROPN
brj-23074	315	38	,	,	PUNCT
brj-23074	315	39	h.	h.	PROPN
brj-23074	315	40	w.	w.	PROPN
brj-23074	315	41	,	,	PUNCT
brj-23074	315	42	choi	choi	PROPN
brj-23074	315	43	,	,	PUNCT
brj-23074	315	44	i.	i.	PROPN
brj-23074	315	45	g.	g.	PROPN
brj-23074	315	46	,	,	PUNCT
brj-23074	315	47	and	and	CCONJ
brj-23074	315	48	yeo	yeo	PROPN
brj-23074	315	49	,	,	PUNCT
brj-23074	315	50	h.	h.	PROPN
brj-23074	315	51	(	(	PUNCT
brj-23074	315	52	2021	2021	NUM
brj-23074	315	53	)	)	PUNCT
brj-23074	315	54	.	.	PUNCT
brj-23074	316	1	“	"	PUNCT
brj-23074	316	2	nir	nir	ADJ
brj-23074	316	3	-	-	PUNCT
brj-23074	316	4	chemometric	chemometric	ADJ
brj-23074	316	5	approaches	approach	NOUN
brj-23074	316	6	for	for	ADP
brj-23074	316	7	evaluating	evaluate	VERB
brj-23074	316	8	carbonization	carbonization	NOUN
brj-23074	316	9	characteristics	characteristic	NOUN
brj-23074	316	10	of	of	ADP
brj-23074	316	11	hydrothermally	hydrothermally	ADV
brj-23074	316	12	carbonized	carbonize	VERB
brj-23074	316	13	lignin	lignin	NOUN
brj-23074	316	14	,	,	PUNCT
brj-23074	316	15	”	"	PUNCT
brj-23074	316	16	scientific	scientific	ADJ
brj-23074	316	17	reports	report	NOUN
brj-23074	316	18	11(1	11(1	NUM
brj-23074	316	19	)	)	PUNCT
brj-23074	316	20	,	,	PUNCT
brj-23074	316	21	article	article	NOUN
brj-23074	316	22	16979	16979	NUM
brj-23074	316	23	.	.	PUNCT
brj-23074	317	1	doi	doi	NOUN
brj-23074	317	2	:	:	PUNCT
brj-23074	317	3	10.1038	10.1038	NUM
brj-23074	317	4	/	/	SYM
brj-23074	317	5	s41598	s41598	NOUN
brj-23074	317	6	-	-	PUNCT
brj-23074	317	7	021	021	NUM
brj-23074	317	8	-	-	PUNCT
brj-23074	317	9	96461	96461	NUM
brj-23074	317	10	-	-	PUNCT
brj-23074	317	11	x	x	SYM
brj-23074	317	12	hwang	hwang	PROPN
brj-23074	317	13	,	,	PUNCT
brj-23074	317	14	s.	s.	PROPN
brj-23074	317	15	w.	w.	PROPN
brj-23074	317	16	,	,	PUNCT
brj-23074	317	17	chung	chung	PROPN
brj-23074	317	18	,	,	PUNCT
brj-23074	317	19	h.	h.	PROPN
brj-23074	317	20	,	,	PUNCT
brj-23074	317	21	lee	lee	PROPN
brj-23074	317	22	,	,	PUNCT
brj-23074	317	23	t.	t.	PROPN
brj-23074	317	24	,	,	PUNCT
brj-23074	317	25	kim	kim	PROPN
brj-23074	317	26	,	,	PUNCT
brj-23074	317	27	j.	j.	PROPN
brj-23074	317	28	,	,	PUNCT
brj-23074	317	29	kim	kim	PROPN
brj-23074	317	30	,	,	PUNCT
brj-23074	317	31	y.	y.	PROPN
brj-23074	317	32	,	,	PUNCT
brj-23074	317	33	kim	kim	PROPN
brj-23074	317	34	,	,	PUNCT
brj-23074	317	35	j.	j.	PROPN
brj-23074	317	36	c.	c.	PROPN
brj-23074	317	37	,	,	PUNCT
brj-23074	317	38	kwak	kwak	PROPN
brj-23074	317	39	,	,	PUNCT
brj-23074	317	40	h.	h.	PROPN
brj-23074	317	41	w.	w.	PROPN
brj-23074	317	42	,	,	PUNCT
brj-23074	317	43	choi	choi	PROPN
brj-23074	317	44	,	,	PUNCT
brj-23074	317	45	i.	i.	PROPN
brj-23074	317	46	g.	g.	PROPN
brj-23074	317	47	,	,	PUNCT
brj-23074	317	48	and	and	CCONJ
brj-23074	317	49	yeo	yeo	PROPN
brj-23074	317	50	,	,	PUNCT
brj-23074	317	51	h.	h.	PROPN
brj-23074	317	52	(	(	PUNCT
brj-23074	317	53	2023	2023	NUM
brj-23074	317	54	)	)	PUNCT
brj-23074	317	55	.	.	PUNCT
brj-23074	318	1	“	"	PUNCT
brj-23074	318	2	feature	feature	VERB
brj-23074	318	3	importance	importance	NOUN
brj-23074	318	4	measures	measure	NOUN
brj-23074	318	5	from	from	ADP
brj-23074	318	6	random	random	ADJ
brj-23074	318	7	forest	forest	NOUN
brj-23074	318	8	regressor	regressor	NOUN
brj-23074	318	9	using	use	VERB
brj-23074	318	10	near	near	ADV
brj-23074	318	11	-	-	PUNCT
brj-23074	318	12	infrared	infrared	ADJ
brj-23074	318	13	spectra	spectra	NOUN
brj-23074	318	14	for	for	ADP
brj-23074	318	15	predicting	predict	VERB
brj-23074	318	16	carbonization	carbonization	NOUN
brj-23074	318	17	characteristics	characteristic	NOUN
brj-23074	318	18	of	of	ADP
brj-23074	318	19	kraft	kraft	NOUN
brj-23074	318	20	ligninderived	ligninderive	VERB
brj-23074	318	21	hydrochar	hydrochar	PROPN
brj-23074	318	22	,	,	PUNCT
brj-23074	318	23	”	"	PUNCT
brj-23074	318	24	journal	journal	NOUN
brj-23074	318	25	of	of	ADP
brj-23074	318	26	wood	wood	NOUN
brj-23074	318	27	science	science	NOUN
brj-23074	318	28	69(1	69(1	NUM
brj-23074	318	29	)	)	PUNCT
brj-23074	318	30	,	,	PUNCT
brj-23074	318	31	1	1	X
brj-23074	318	32	.	.	X
brj-23074	318	33	doi	doi	NOUN
brj-23074	318	34	:	:	PUNCT
brj-23074	318	35	10.1186	10.1186	NUM
brj-23074	318	36	/	/	SYM
brj-23074	318	37	s10086	s10086	PROPN
brj-23074	318	38	-	-	PUNCT
brj-23074	318	39	02202073	02202073	NUM
brj-23074	318	40	-	-	PUNCT
brj-23074	318	41	y	y	PROPN
brj-23074	318	42	kim	kim	PROPN
brj-23074	318	43	,	,	PUNCT
brj-23074	318	44	k.	k.	PROPN
brj-23074	318	45	j.	j.	PROPN
brj-23074	318	46	,	,	PUNCT
brj-23074	318	47	and	and	CCONJ
brj-23074	318	48	eom	eom	PROPN
brj-23074	318	49	,	,	PUNCT
brj-23074	318	50	t.	t.	PROPN
brj-23074	318	51	j.	j.	PROPN
brj-23074	318	52	(	(	PUNCT
brj-23074	318	53	2016	2016	NUM
brj-23074	318	54	)	)	PUNCT
brj-23074	318	55	.	.	PUNCT
brj-23074	319	1	“	"	PUNCT
brj-23074	319	2	study	study	VERB
brj-23074	319	3	on	on	ADP
brj-23074	319	4	the	the	DET
brj-23074	319	5	aging	age	VERB
brj-23074	319	6	characteristics	characteristic	NOUN
brj-23074	319	7	of	of	ADP
brj-23074	319	8	paper	paper	NOUN
brj-23074	319	9	with	with	ADP
brj-23074	319	10	principal	principal	ADJ
brj-23074	319	11	component	component	NOUN
brj-23074	319	12	analysis	analysis	NOUN
brj-23074	319	13	,	,	PUNCT
brj-23074	319	14	”	"	PUNCT
brj-23074	319	15	journal	journal	NOUN
brj-23074	319	16	of	of	ADP
brj-23074	319	17	korea	korea	PROPN
brj-23074	319	18	tappi	tappi	PROPN
brj-23074	319	19	48(6	48(6	PROPN
brj-23074	319	20	)	)	PUNCT
brj-23074	319	21	,	,	PUNCT
brj-23074	319	22	144	144	NUM
brj-23074	319	23	-	-	SYM
brj-23074	319	24	149	149	NUM
brj-23074	319	25	.	.	PUNCT
brj-23074	320	1	doi	doi	NOUN
brj-23074	320	2	:	:	PUNCT
brj-23074	320	3	10.7584	10.7584	NUM
brj-23074	320	4	/	/	SYM
brj-23074	320	5	jktappi.2016.12.48.6.144	jktappi.2016.12.48.6.144	PROPN
brj-23074	320	6	korea	korea	PROPN
brj-23074	320	7	legislation	legislation	PROPN
brj-23074	320	8	research	research	PROPN
brj-23074	320	9	institute	institute	PROPN
brj-23074	320	10	.	.	PUNCT
brj-23074	321	1	(	(	PUNCT
brj-23074	321	2	2020	2020	NUM
brj-23074	321	3	)	)	PUNCT
brj-23074	321	4	“	"	PUNCT
brj-23074	321	5	act	act	VERB
brj-23074	321	6	on	on	ADP
brj-23074	321	7	the	the	DET
brj-23074	321	8	sustainable	sustainable	ADJ
brj-23074	321	9	use	use	NOUN
brj-23074	321	10	of	of	ADP
brj-23074	321	11	timbers	timber	NOUN
brj-23074	321	12	,	,	PUNCT
brj-23074	321	13	”	"	PUNCT
brj-23074	321	14	korea	korea	PROPN
brj-23074	321	15	law	law	PROPN
brj-23074	321	16	translation	translation	NOUN
brj-23074	321	17	center	center	PROPN
brj-23074	321	18	,	,	PUNCT
brj-23074	321	19	korea	korea	PROPN
brj-23074	321	20	legislation	legislation	PROPN
brj-23074	321	21	research	research	PROPN
brj-23074	321	22	institute	institute	PROPN
brj-23074	321	23	,	,	PUNCT
brj-23074	321	24	(	(	PUNCT
brj-23074	321	25	https://elaw.klri.re.kr/kor_service/lawview.do?hseq=53257&lang=eng	https://elaw.klri.re.kr/kor_service/lawview.do?hseq=53257&lang=eng	PROPN
brj-23074	321	26	)	)	PUNCT
brj-23074	321	27	,	,	PUNCT
brj-23074	321	28	accessed	access	VERB
brj-23074	321	29	20	20	NUM
brj-23074	321	30	oct	oct	NOUN
brj-23074	321	31	2023	2023	NUM
brj-23074	321	32	.	.	PUNCT
brj-23074	322	1	meza	meza	PROPN
brj-23074	322	2	ramirez	ramirez	PROPN
brj-23074	322	3	,	,	PUNCT
brj-23074	322	4	c.	c.	PROPN
brj-23074	322	5	a.	a.	PROPN
brj-23074	322	6	,	,	PUNCT
brj-23074	322	7	greenop	greenop	NOUN
brj-23074	322	8	,	,	PUNCT
brj-23074	322	9	m.	m.	NOUN
brj-23074	322	10	,	,	PUNCT
brj-23074	322	11	ashton	ashton	PROPN
brj-23074	322	12	,	,	PUNCT
brj-23074	322	13	l.	l.	PROPN
brj-23074	322	14	,	,	PUNCT
brj-23074	322	15	and	and	CCONJ
brj-23074	322	16	rehman	rehman	PROPN
brj-23074	322	17	,	,	PUNCT
brj-23074	322	18	i.	i.	PROPN
brj-23074	322	19	u.	u.	PROPN
brj-23074	322	20	(	(	PUNCT
brj-23074	322	21	2021	2021	NUM
brj-23074	322	22	)	)	PUNCT
brj-23074	322	23	.	.	PUNCT
brj-23074	323	1	“	"	PUNCT
brj-23074	323	2	applications	application	NOUN
brj-23074	323	3	of	of	ADP
brj-23074	323	4	machine	machine	NOUN
brj-23074	323	5	learning	learn	VERB
brj-23074	323	6	in	in	ADP
brj-23074	323	7	spectroscopy	spectroscopy	NOUN
brj-23074	323	8	,	,	PUNCT
brj-23074	323	9	”	"	PUNCT
brj-23074	323	10	applied	apply	VERB
brj-23074	323	11	spectroscopy	spectroscopy	NOUN
brj-23074	323	12	reviews	review	NOUN
brj-23074	323	13	56	56	NUM
brj-23074	323	14	,	,	PUNCT
brj-23074	323	15	733	733	NUM
brj-23074	323	16	-	-	SYM
brj-23074	323	17	763	763	NUM
brj-23074	323	18	.	.	PUNCT
brj-23074	324	1	doi	doi	NOUN
brj-23074	324	2	:	:	PUNCT
brj-23074	324	3	10.1080/05704928.2020.1859525	10.1080/05704928.2020.1859525	NUM
brj-23074	324	4	olsson	olsson	NOUN
brj-23074	324	5	,	,	PUNCT
brj-23074	324	6	a.	a.	NOUN
brj-23074	324	7	m.	m.	NOUN
brj-23074	324	8	,	,	PUNCT
brj-23074	324	9	and	and	CCONJ
brj-23074	324	10	salmén	salmén	NOUN
brj-23074	324	11	,	,	PUNCT
brj-23074	324	12	l.	l.	PROPN
brj-23074	324	13	(	(	PUNCT
brj-23074	324	14	2004	2004	NUM
brj-23074	324	15	)	)	PUNCT
brj-23074	324	16	.	.	PUNCT
brj-23074	325	1	“	"	PUNCT
brj-23074	325	2	the	the	DET
brj-23074	325	3	association	association	NOUN
brj-23074	325	4	of	of	ADP
brj-23074	325	5	water	water	NOUN
brj-23074	325	6	to	to	PART
brj-23074	325	7	cellulose	cellulose	NOUN
brj-23074	325	8	and	and	CCONJ
brj-23074	325	9	hemicellulose	hemicellulose	NOUN
brj-23074	325	10	in	in	ADP
brj-23074	325	11	paper	paper	NOUN
brj-23074	325	12	examined	examine	VERB
brj-23074	325	13	by	by	ADP
brj-23074	325	14	ftir	ftir	PROPN
brj-23074	325	15	spectroscopy	spectroscopy	NOUN
brj-23074	325	16	,	,	PUNCT
brj-23074	325	17	”	"	PUNCT
brj-23074	325	18	carbohydrate	carbohydrate	NOUN
brj-23074	325	19	research	research	NOUN
brj-23074	325	20	339(4	339(4	NUM
brj-23074	325	21	)	)	PUNCT
brj-23074	325	22	,	,	PUNCT
brj-23074	325	23	813	813	NUM
brj-23074	325	24	-	-	SYM
brj-23074	325	25	818	818	NUM
brj-23074	325	26	.	.	PUNCT
brj-23074	326	1	doi	doi	NOUN
brj-23074	326	2	:	:	PUNCT
brj-23074	326	3	10.1016	10.1016	NUM
brj-23074	326	4	/	/	SYM
brj-23074	326	5	j.carres.2004.01.005	j.carres.2004.01.005	PROPN
brj-23074	326	6	peer	peer	NOUN
brj-23074	326	7	-	-	PUNCT
brj-23074	326	8	reviewed	review	VERB
brj-23074	326	9	article	article	NOUN
brj-23074	326	10	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-23074	327	1	hwang	hwang	PROPN
brj-23074	327	2	et	et	PROPN
brj-23074	327	3	al	al	PROPN
brj-23074	327	4	.	.	PROPN
brj-23074	327	5	(	(	PUNCT
brj-23074	327	6	2024	2024	NUM
brj-23074	327	7	)	)	PUNCT
brj-23074	327	8	.	.	PUNCT
brj-23074	328	1	“	"	PUNCT
brj-23074	328	2	nir	nir	X
brj-23074	328	3	for	for	ADP
brj-23074	328	4	paper	paper	NOUN
brj-23074	328	5	classification	classification	NOUN
brj-23074	328	6	,	,	PUNCT
brj-23074	328	7	”	"	PUNCT
brj-23074	328	8	bioresources	bioresource	NOUN
brj-23074	328	9	19(1	19(1	NUM
brj-23074	328	10	)	)	PUNCT
brj-23074	328	11	,	,	PUNCT
brj-23074	328	12	1633	1633	NUM
brj-23074	328	13	-	-	SYM
brj-23074	328	14	1651	1651	NUM
brj-23074	328	15	.	.	PUNCT
brj-23074	329	1	1651	1651	NUM
brj-23074	329	2	pandey	pandey	PROPN
brj-23074	329	3	,	,	PUNCT
brj-23074	329	4	k.	k.	PROPN
brj-23074	329	5	k.	k.	PROPN
brj-23074	329	6	,	,	PUNCT
brj-23074	329	7	and	and	CCONJ
brj-23074	329	8	pitman	pitman	NOUN
brj-23074	329	9	,	,	PUNCT
brj-23074	329	10	a.	a.	PROPN
brj-23074	329	11	j.	j.	PROPN
brj-23074	329	12	(	(	PUNCT
brj-23074	329	13	2003	2003	NUM
brj-23074	329	14	)	)	PUNCT
brj-23074	329	15	.	.	PUNCT
brj-23074	330	1	“	"	PUNCT
brj-23074	330	2	ftir	ftir	VERB
brj-23074	330	3	studies	study	NOUN
brj-23074	330	4	of	of	ADP
brj-23074	330	5	the	the	DET
brj-23074	330	6	changes	change	NOUN
brj-23074	330	7	in	in	ADP
brj-23074	330	8	wood	wood	NOUN
brj-23074	330	9	chemistry	chemistry	NOUN
brj-23074	330	10	following	follow	VERB
brj-23074	330	11	decay	decay	NOUN
brj-23074	330	12	by	by	ADP
brj-23074	330	13	brown	brown	NOUN
brj-23074	330	14	-	-	PUNCT
brj-23074	330	15	rot	rot	NOUN
brj-23074	330	16	and	and	CCONJ
brj-23074	330	17	white	white	ADJ
brj-23074	330	18	-	-	PUNCT
brj-23074	330	19	rot	rot	NOUN
brj-23074	330	20	fungi	fungus	NOUN
brj-23074	330	21	,	,	PUNCT
brj-23074	330	22	”	"	PUNCT
brj-23074	330	23	international	international	ADJ
brj-23074	330	24	biodeterioration	biodeterioration	NOUN
brj-23074	330	25	&	&	CCONJ
brj-23074	330	26	biodegradation	biodegradation	NOUN
brj-23074	330	27	52(3	52(3	NUM
brj-23074	330	28	)	)	PUNCT
brj-23074	330	29	,	,	PUNCT
brj-23074	330	30	151	151	NUM
brj-23074	330	31	-	-	SYM
brj-23074	330	32	160	160	NUM
brj-23074	330	33	.	.	PUNCT
brj-23074	331	1	doi	doi	NOUN
brj-23074	331	2	:	:	PUNCT
brj-23074	331	3	10.1016	10.1016	NUM
brj-23074	331	4	/	/	SYM
brj-23074	331	5	s0964	s0964	PROPN
brj-23074	331	6	-	-	PUNCT
brj-23074	331	7	8305(03)00052	8305(03)00052	NUM
brj-23074	331	8	-	-	PUNCT
brj-23074	331	9	0	0	NUM
brj-23074	331	10	savitzky	savitzky	NOUN
brj-23074	331	11	,	,	PUNCT
brj-23074	331	12	a.	a.	NOUN
brj-23074	331	13	,	,	PUNCT
brj-23074	331	14	and	and	CCONJ
brj-23074	331	15	golay	golay	NOUN
brj-23074	331	16	,	,	PUNCT
brj-23074	331	17	m.	m.	NOUN
brj-23074	331	18	j.	j.	PROPN
brj-23074	331	19	(	(	PUNCT
brj-23074	331	20	1964	1964	NUM
brj-23074	331	21	)	)	PUNCT
brj-23074	331	22	.	.	PUNCT
brj-23074	332	1	“	"	PUNCT
brj-23074	332	2	smoothing	smoothing	NOUN
brj-23074	332	3	and	and	CCONJ
brj-23074	332	4	differentiation	differentiation	NOUN
brj-23074	332	5	of	of	ADP
brj-23074	332	6	data	datum	NOUN
brj-23074	332	7	by	by	ADP
brj-23074	332	8	simplified	simplified	ADJ
brj-23074	332	9	least	least	ADJ
brj-23074	332	10	squares	square	NOUN
brj-23074	332	11	procedures	procedure	NOUN
brj-23074	332	12	,	,	PUNCT
brj-23074	332	13	”	"	PUNCT
brj-23074	332	14	analytical	analytical	ADJ
brj-23074	332	15	chemistry	chemistry	NOUN
brj-23074	332	16	36(8	36(8	NOUN
brj-23074	332	17	)	)	PUNCT
brj-23074	332	18	,	,	PUNCT
brj-23074	332	19	1627	1627	NUM
brj-23074	332	20	-	-	SYM
brj-23074	332	21	1639	1639	NUM
brj-23074	332	22	.	.	PUNCT
brj-23074	333	1	schwanninger	schwanninger	PROPN
brj-23074	333	2	,	,	PUNCT
brj-23074	333	3	m.	m.	PROPN
brj-23074	333	4	j.	j.	PROPN
brj-23074	333	5	c.	c.	PROPN
brj-23074	333	6	r.	r.	PROPN
brj-23074	333	7	,	,	PUNCT
brj-23074	333	8	rodrigues	rodrigues	PROPN
brj-23074	333	9	,	,	PUNCT
brj-23074	333	10	j.	j.	PROPN
brj-23074	333	11	c.	c.	PROPN
brj-23074	333	12	,	,	PUNCT
brj-23074	333	13	pereira	pereira	PROPN
brj-23074	333	14	,	,	PUNCT
brj-23074	333	15	h.	h.	PROPN
brj-23074	333	16	,	,	PUNCT
brj-23074	333	17	and	and	CCONJ
brj-23074	333	18	hinterstoisser	hinterstoisser	PROPN
brj-23074	333	19	,	,	PUNCT
brj-23074	333	20	b.	b.	PROPN
brj-23074	333	21	(	(	PUNCT
brj-23074	333	22	2004	2004	NUM
brj-23074	333	23	)	)	PUNCT
brj-23074	333	24	.	.	PUNCT
brj-23074	334	1	“	"	PUNCT
brj-23074	334	2	effects	effect	NOUN
brj-23074	334	3	of	of	ADP
brj-23074	334	4	short	short	ADJ
brj-23074	334	5	-	-	PUNCT
brj-23074	334	6	time	time	NOUN
brj-23074	334	7	vibratory	vibratory	NOUN
brj-23074	334	8	ball	ball	NOUN
brj-23074	334	9	milling	milling	NOUN
brj-23074	334	10	on	on	ADP
brj-23074	334	11	the	the	DET
brj-23074	334	12	shape	shape	NOUN
brj-23074	334	13	of	of	ADP
brj-23074	334	14	ft	ft	PROPN
brj-23074	334	15	-	-	PUNCT
brj-23074	334	16	ir	ir	NOUN
brj-23074	334	17	spectra	spectra	NOUN
brj-23074	334	18	of	of	ADP
brj-23074	334	19	wood	wood	NOUN
brj-23074	334	20	and	and	CCONJ
brj-23074	334	21	cellulose	cellulose	NOUN
brj-23074	334	22	,	,	PUNCT
brj-23074	334	23	”	"	PUNCT
brj-23074	334	24	vibrational	vibrational	ADJ
brj-23074	334	25	spectroscopy	spectroscopy	NOUN
brj-23074	334	26	36(1	36(1	NUM
brj-23074	334	27	)	)	PUNCT
brj-23074	334	28	,	,	PUNCT
brj-23074	334	29	23	23	NUM
brj-23074	334	30	-	-	SYM
brj-23074	334	31	40	40	NUM
brj-23074	334	32	.	.	PUNCT
brj-23074	335	1	doi	doi	NOUN
brj-23074	335	2	:	:	PUNCT
brj-23074	335	3	10.1016	10.1016	NUM
brj-23074	335	4	/	/	SYM
brj-23074	335	5	j.vibspec.2004.02.003	j.vibspec.2004.02.003	PROPN
brj-23074	335	6	shah	shah	PROPN
brj-23074	335	7	,	,	PUNCT
brj-23074	335	8	p.	p.	NOUN
brj-23074	335	9	,	,	PUNCT
brj-23074	335	10	choi	choi	NOUN
brj-23074	335	11	,	,	PUNCT
brj-23074	335	12	h.	h.	PROPN
brj-23074	335	13	k.	k.	PROPN
brj-23074	335	14	,	,	PUNCT
brj-23074	335	15	and	and	CCONJ
brj-23074	335	16	kwon	kwon	PROPN
brj-23074	335	17	,	,	PUNCT
brj-23074	335	18	j.	j.	PROPN
brj-23074	335	19	s.	s.	PROPN
brj-23074	335	20	i.	i.	PROPN
brj-23074	335	21	(	(	PUNCT
brj-23074	335	22	2023	2023	NUM
brj-23074	335	23	)	)	PUNCT
brj-23074	335	24	.	.	PUNCT
brj-23074	336	1	“	"	PUNCT
brj-23074	336	2	achieving	achieve	VERB
brj-23074	336	3	optimal	optimal	ADJ
brj-23074	336	4	paper	paper	NOUN
brj-23074	336	5	properties	property	NOUN
brj-23074	336	6	:	:	PUNCT
brj-23074	336	7	a	a	DET
brj-23074	336	8	layered	layered	ADJ
brj-23074	336	9	multiscale	multiscale	ADJ
brj-23074	336	10	kmc	kmc	PROPN
brj-23074	336	11	and	and	CCONJ
brj-23074	336	12	lstm	lstm	PROPN
brj-23074	336	13	-	-	PUNCT
brj-23074	336	14	ann	ann	NOUN
brj-23074	336	15	-	-	PUNCT
brj-23074	336	16	based	base	VERB
brj-23074	336	17	control	control	NOUN
brj-23074	336	18	approach	approach	NOUN
brj-23074	336	19	for	for	ADP
brj-23074	336	20	kraft	kraft	NOUN
brj-23074	336	21	pulping	pulping	NOUN
brj-23074	336	22	,	,	PUNCT
brj-23074	336	23	”	"	PUNCT
brj-23074	336	24	processes	process	NOUN
brj-23074	336	25	11(3	11(3	NUM
brj-23074	336	26	)	)	PUNCT
brj-23074	336	27	,	,	PUNCT
brj-23074	336	28	809	809	NUM
brj-23074	336	29	.	.	PUNCT
brj-23074	337	1	doi	doi	NOUN
brj-23074	337	2	:	:	PUNCT
brj-23074	337	3	10.3390	10.3390	NUM
brj-23074	337	4	/	/	SYM
brj-23074	337	5	pr11030809	pr11030809	PROPN
brj-23074	337	6	sheikhi	sheikhi	PROPN
brj-23074	337	7	,	,	PUNCT
brj-23074	337	8	p.	p.	PROPN
brj-23074	337	9	,	,	PUNCT
brj-23074	337	10	talaeipour	talaeipour	PROPN
brj-23074	337	11	,	,	PUNCT
brj-23074	337	12	m.	m.	NOUN
brj-23074	337	13	,	,	PUNCT
brj-23074	337	14	hemasi	hemasi	PROPN
brj-23074	337	15	,	,	PUNCT
brj-23074	337	16	a.	a.	PROPN
brj-23074	337	17	h.	h.	PROPN
brj-23074	337	18	,	,	PUNCT
brj-23074	337	19	eslam	eslam	PROPN
brj-23074	337	20	,	,	PUNCT
brj-23074	337	21	h.	h.	PROPN
brj-23074	337	22	k.	k.	PROPN
brj-23074	337	23	,	,	PUNCT
brj-23074	337	24	and	and	CCONJ
brj-23074	337	25	gumuskaya	gumuskaya	PROPN
brj-23074	337	26	,	,	PUNCT
brj-23074	337	27	e.	e.	PROPN
brj-23074	337	28	(	(	PUNCT
brj-23074	337	29	2010	2010	NUM
brj-23074	337	30	)	)	PUNCT
brj-23074	337	31	.	.	PUNCT
brj-23074	338	1	“	"	PUNCT
brj-23074	338	2	effect	effect	NOUN
brj-23074	338	3	of	of	ADP
brj-23074	338	4	drying	dry	VERB
brj-23074	338	5	and	and	CCONJ
brj-23074	338	6	chemical	chemical	ADJ
brj-23074	338	7	treatment	treatment	NOUN
brj-23074	338	8	on	on	ADP
brj-23074	338	9	bagasse	bagasse	NOUN
brj-23074	338	10	soda	soda	NOUN
brj-23074	338	11	pulp	pulp	NOUN
brj-23074	338	12	properties	property	NOUN
brj-23074	338	13	during	during	ADP
brj-23074	338	14	recycling	recycling	NOUN
brj-23074	338	15	,	,	PUNCT
brj-23074	338	16	”	"	PUNCT
brj-23074	338	17	bioresources	bioresource	NOUN
brj-23074	338	18	5(3	5(3	NUM
brj-23074	338	19	)	)	PUNCT
brj-23074	338	20	,	,	PUNCT
brj-23074	338	21	1702	1702	NUM
brj-23074	338	22	-	-	SYM
brj-23074	338	23	1716	1716	NUM
brj-23074	338	24	.	.	PUNCT
brj-23074	339	1	soriano	soriano	NOUN
brj-23074	339	2	-	-	PUNCT
brj-23074	339	3	disla	disla	PROPN
brj-23074	339	4	,	,	PUNCT
brj-23074	339	5	j.	j.	PROPN
brj-23074	339	6	m.	m.	PROPN
brj-23074	339	7	,	,	PUNCT
brj-23074	339	8	janik	janik	X
brj-23074	339	9	,	,	PUNCT
brj-23074	339	10	l.	l.	PROPN
brj-23074	339	11	j.	j.	PROPN
brj-23074	339	12	,	,	PUNCT
brj-23074	339	13	viscarra	viscarra	PROPN
brj-23074	339	14	rossel	rossel	NOUN
brj-23074	339	15	,	,	PUNCT
brj-23074	339	16	r.	r.	PROPN
brj-23074	339	17	a.	a.	PROPN
brj-23074	339	18	,	,	PUNCT
brj-23074	339	19	macdonald	macdonald	PROPN
brj-23074	339	20	,	,	PUNCT
brj-23074	339	21	l.	l.	PROPN
brj-23074	339	22	m.	m.	PROPN
brj-23074	339	23	,	,	PUNCT
brj-23074	339	24	and	and	CCONJ
brj-23074	339	25	mclaughlin	mclaughlin	PROPN
brj-23074	339	26	,	,	PUNCT
brj-23074	339	27	m.	m.	NOUN
brj-23074	339	28	j.	j.	PROPN
brj-23074	339	29	(	(	PUNCT
brj-23074	339	30	2014	2014	NUM
brj-23074	339	31	)	)	PUNCT
brj-23074	339	32	.	.	PUNCT
brj-23074	340	1	“	"	PUNCT
brj-23074	340	2	the	the	DET
brj-23074	340	3	performance	performance	NOUN
brj-23074	340	4	of	of	ADP
brj-23074	340	5	visible	visible	ADJ
brj-23074	340	6	,	,	PUNCT
brj-23074	340	7	near-	near-	X
brj-23074	340	8	,	,	PUNCT
brj-23074	340	9	and	and	CCONJ
brj-23074	340	10	mid	mid	ADJ
brj-23074	340	11	-	-	ADJ
brj-23074	340	12	infrared	infrared	ADJ
brj-23074	340	13	reflectance	reflectance	NOUN
brj-23074	340	14	spectroscopy	spectroscopy	VERB
brj-23074	340	15	for	for	ADP
brj-23074	340	16	prediction	prediction	NOUN
brj-23074	340	17	of	of	ADP
brj-23074	340	18	soil	soil	NOUN
brj-23074	340	19	physical	physical	ADJ
brj-23074	340	20	,	,	PUNCT
brj-23074	340	21	chemical	chemical	NOUN
brj-23074	340	22	,	,	PUNCT
brj-23074	340	23	and	and	CCONJ
brj-23074	340	24	biological	biological	ADJ
brj-23074	340	25	properties	property	NOUN
brj-23074	340	26	,	,	PUNCT
brj-23074	340	27	”	"	PUNCT
brj-23074	340	28	applied	apply	VERB
brj-23074	340	29	spectroscopy	spectroscopy	NOUN
brj-23074	340	30	reviews	review	NOUN
brj-23074	340	31	49(2	49(2	NUM
brj-23074	340	32	)	)	PUNCT
brj-23074	340	33	,	,	PUNCT
brj-23074	340	34	139	139	NUM
brj-23074	340	35	-	-	SYM
brj-23074	340	36	186	186	NUM
brj-23074	340	37	.	.	PUNCT
brj-23074	341	1	doi	doi	NOUN
brj-23074	341	2	:	:	PUNCT
brj-23074	341	3	10.1080/05704928.2013.811081	10.1080/05704928.2013.811081	PROPN
brj-23074	341	4	stuart	stuart	PROPN
brj-23074	341	5	,	,	PUNCT
brj-23074	341	6	b.	b.	PROPN
brj-23074	341	7	h.	h.	PROPN
brj-23074	341	8	(	(	PUNCT
brj-23074	341	9	2004	2004	NUM
brj-23074	341	10	)	)	PUNCT
brj-23074	341	11	.	.	PUNCT
brj-23074	342	1	infrared	infrared	ADJ
brj-23074	342	2	spectroscopy	spectroscopy	NOUN
brj-23074	342	3	:	:	PUNCT
brj-23074	342	4	fundamentals	fundamental	NOUN
brj-23074	342	5	and	and	CCONJ
brj-23074	342	6	applications	application	NOUN
brj-23074	342	7	,	,	PUNCT
brj-23074	342	8	john	john	PROPN
brj-23074	342	9	wiley	wiley	PROPN
brj-23074	342	10	&	&	CCONJ
brj-23074	342	11	sons	sons	PROPN
brj-23074	342	12	,	,	PUNCT
brj-23074	342	13	hoboken	hoboken	PROPN
brj-23074	342	14	,	,	PUNCT
brj-23074	342	15	nj	nj	PROPN
brj-23074	342	16	.	.	PUNCT
brj-23074	342	17	trafela	trafela	PROPN
brj-23074	342	18	,	,	PUNCT
brj-23074	342	19	t.	t.	PROPN
brj-23074	342	20	,	,	PUNCT
brj-23074	342	21	strlic	strlic	ADJ
brj-23074	342	22	,	,	PUNCT
brj-23074	342	23	m.	m.	NOUN
brj-23074	342	24	,	,	PUNCT
brj-23074	342	25	kolar	kolar	PROPN
brj-23074	342	26	,	,	PUNCT
brj-23074	342	27	j.	j.	PROPN
brj-23074	342	28	,	,	PUNCT
brj-23074	342	29	lichtblau	lichtblau	PROPN
brj-23074	342	30	,	,	PUNCT
brj-23074	342	31	d.	d.	PROPN
brj-23074	342	32	a.	a.	PROPN
brj-23074	342	33	,	,	PUNCT
brj-23074	342	34	anders	ander	NOUN
brj-23074	342	35	,	,	PUNCT
brj-23074	342	36	m.	m.	NOUN
brj-23074	342	37	,	,	PUNCT
brj-23074	342	38	mencigar	mencigar	NOUN
brj-23074	342	39	,	,	PUNCT
brj-23074	342	40	d.	d.	PROPN
brj-23074	342	41	p.	p.	PROPN
brj-23074	342	42	,	,	PUNCT
brj-23074	342	43	and	and	CCONJ
brj-23074	342	44	pihlar	pihlar	VERB
brj-23074	342	45	,	,	PUNCT
brj-23074	342	46	b.	b.	PROPN
brj-23074	342	47	(	(	PUNCT
brj-23074	342	48	2007	2007	NUM
brj-23074	342	49	)	)	PUNCT
brj-23074	342	50	.	.	PUNCT
brj-23074	343	1	“	"	PUNCT
brj-23074	343	2	nondestructive	nondestructive	ADJ
brj-23074	343	3	analysis	analysis	NOUN
brj-23074	343	4	and	and	CCONJ
brj-23074	343	5	dating	date	VERB
brj-23074	343	6	of	of	ADP
brj-23074	343	7	historical	historical	ADJ
brj-23074	343	8	paper	paper	NOUN
brj-23074	343	9	based	base	VERB
brj-23074	343	10	on	on	ADP
brj-23074	343	11	ir	ir	PROPN
brj-23074	343	12	spectroscopy	spectroscopy	NOUN
brj-23074	343	13	and	and	CCONJ
brj-23074	343	14	chemometric	chemometric	ADJ
brj-23074	343	15	data	datum	NOUN
brj-23074	343	16	evaluation	evaluation	NOUN
brj-23074	343	17	,	,	PUNCT
brj-23074	343	18	”	"	PUNCT
brj-23074	343	19	analytical	analytical	ADJ
brj-23074	343	20	chemistry	chemistry	NOUN
brj-23074	343	21	79(16	79(16	NUM
brj-23074	343	22	)	)	PUNCT
brj-23074	343	23	,	,	PUNCT
brj-23074	343	24	63196323	63196323	NUM
brj-23074	343	25	.	.	PUNCT
brj-23074	344	1	doi	doi	NOUN
brj-23074	344	2	:	:	PUNCT
brj-23074	344	3	10.1021	10.1021	NUM
brj-23074	344	4	/	/	SYM
brj-23074	344	5	ac070392	ac070392	PROPN
brj-23074	344	6	t	t	PROPN
brj-23074	344	7	vert	vert	PROPN
brj-23074	344	8	,	,	PUNCT
brj-23074	344	9	j.	j.	PROPN
brj-23074	344	10	p.	p.	PROPN
brj-23074	344	11	,	,	PUNCT
brj-23074	344	12	tsuda	tsuda	NOUN
brj-23074	344	13	,	,	PUNCT
brj-23074	344	14	k.	k.	PROPN
brj-23074	344	15	,	,	PUNCT
brj-23074	344	16	and	and	CCONJ
brj-23074	344	17	schölkopf	schölkopf	VERB
brj-23074	344	18	,	,	PUNCT
brj-23074	344	19	b.	b.	PROPN
brj-23074	344	20	(	(	PUNCT
brj-23074	344	21	2004	2004	NUM
brj-23074	344	22	)	)	PUNCT
brj-23074	344	23	.	.	PUNCT
brj-23074	345	1	“	"	PUNCT
brj-23074	345	2	a	a	DET
brj-23074	345	3	primer	primer	NOUN
brj-23074	345	4	on	on	ADP
brj-23074	345	5	kernel	kernel	PROPN
brj-23074	345	6	methods	method	NOUN
brj-23074	345	7	,	,	PUNCT
brj-23074	345	8	”	"	PUNCT
brj-23074	345	9	in	in	ADP
brj-23074	345	10	:	:	PUNCT
brj-23074	345	11	kernel	kernel	NOUN
brj-23074	345	12	methods	method	NOUN
brj-23074	345	13	in	in	ADP
brj-23074	345	14	computational	computational	ADJ
brj-23074	345	15	biology	biology	NOUN
brj-23074	345	16	,	,	PUNCT
brj-23074	345	17	b.	b.	PROPN
brj-23074	345	18	schölkopf	schölkopf	PROPN
brj-23074	345	19	,	,	PUNCT
brj-23074	345	20	j.	j.	PROPN
brj-23074	345	21	p.	p.	PROPN
brj-23074	345	22	vert	vert	PROPN
brj-23074	345	23	,	,	PUNCT
brj-23074	345	24	and	and	CCONJ
brj-23074	345	25	k.	k.	PROPN
brj-23074	345	26	tsuda	tsuda	NOUN
brj-23074	345	27	(	(	PUNCT
brj-23074	345	28	eds	ed	NOUN
brj-23074	345	29	.	.	PUNCT
brj-23074	345	30	)	)	PUNCT
brj-23074	345	31	,	,	PUNCT
brj-23074	345	32	mit	mit	PROPN
brj-23074	345	33	press	press	PROPN
brj-23074	345	34	,	,	PUNCT
brj-23074	345	35	cambridge	cambridge	PROPN
brj-23074	345	36	,	,	PUNCT
brj-23074	345	37	ma	ma	PROPN
brj-23074	345	38	.	.	PROPN
brj-23074	345	39	xiao	xiao	PROPN
brj-23074	345	40	,	,	PUNCT
brj-23074	345	41	s.	s.	PROPN
brj-23074	345	42	,	,	PUNCT
brj-23074	345	43	gao	gao	PROPN
brj-23074	345	44	,	,	PUNCT
brj-23074	345	45	r.	r.	PROPN
brj-23074	345	46	,	,	PUNCT
brj-23074	345	47	lu	lu	PROPN
brj-23074	345	48	,	,	PUNCT
brj-23074	345	49	y.	y.	PROPN
brj-23074	345	50	,	,	PUNCT
brj-23074	345	51	li	li	PROPN
brj-23074	345	52	,	,	PUNCT
brj-23074	345	53	j.	j.	PROPN
brj-23074	345	54	,	,	PUNCT
brj-23074	345	55	and	and	CCONJ
brj-23074	345	56	sun	sun	NOUN
brj-23074	345	57	,	,	PUNCT
brj-23074	345	58	q.	q.	PROPN
brj-23074	345	59	(	(	PUNCT
brj-23074	345	60	2015	2015	NUM
brj-23074	345	61	)	)	PUNCT
brj-23074	345	62	.	.	PUNCT
brj-23074	346	1	“	"	PUNCT
brj-23074	346	2	fabrication	fabrication	NOUN
brj-23074	346	3	and	and	CCONJ
brj-23074	346	4	characterization	characterization	NOUN
brj-23074	346	5	of	of	ADP
brj-23074	346	6	nanofibrillated	nanofibrillate	VERB
brj-23074	346	7	cellulose	cellulose	NOUN
brj-23074	346	8	and	and	CCONJ
brj-23074	346	9	its	its	PRON
brj-23074	346	10	aerogels	aerogel	NOUN
brj-23074	346	11	from	from	ADP
brj-23074	346	12	natural	natural	ADJ
brj-23074	346	13	pine	pine	ADJ
brj-23074	346	14	needles	needle	NOUN
brj-23074	346	15	,	,	PUNCT
brj-23074	346	16	”	"	PUNCT
brj-23074	346	17	carbohydrate	carbohydrate	NOUN
brj-23074	346	18	polymers	polymer	NOUN
brj-23074	346	19	119	119	NUM
brj-23074	346	20	,	,	PUNCT
brj-23074	346	21	202	202	NUM
brj-23074	346	22	-	-	SYM
brj-23074	346	23	209	209	NUM
brj-23074	346	24	.	.	PUNCT
brj-23074	347	1	doi	doi	NOUN
brj-23074	347	2	:	:	PUNCT
brj-23074	347	3	10.1016	10.1016	NUM
brj-23074	347	4	/	/	SYM
brj-23074	347	5	j.carbpol.2014.11.041	j.carbpol.2014.11.041	NOUN
brj-23074	347	6	article	article	NOUN
brj-23074	347	7	submitted	submit	VERB
brj-23074	347	8	:	:	PUNCT
brj-23074	347	9	october	october	PROPN
brj-23074	347	10	23	23	NUM
brj-23074	347	11	,	,	PUNCT
brj-23074	347	12	2023	2023	NUM
brj-23074	347	13	;	;	PUNCT
brj-23074	347	14	peer	peer	NOUN
brj-23074	347	15	review	review	NOUN
brj-23074	347	16	completed	complete	VERB
brj-23074	347	17	:	:	PUNCT
brj-23074	347	18	november	november	PROPN
brj-23074	347	19	11	11	NUM
brj-23074	347	20	,	,	PUNCT
brj-23074	347	21	2023	2023	NUM
brj-23074	347	22	;	;	PUNCT
brj-23074	347	23	revised	revise	VERB
brj-23074	347	24	version	version	NOUN
brj-23074	347	25	received	receive	VERB
brj-23074	347	26	and	and	CCONJ
brj-23074	347	27	accepted	accept	VERB
brj-23074	347	28	:	:	PUNCT
brj-23074	347	29	november	november	PROPN
brj-23074	347	30	20	20	NUM
brj-23074	347	31	,	,	PUNCT
brj-23074	347	32	2023	2023	NUM
brj-23074	347	33	;	;	PUNCT
brj-23074	347	34	published	publish	VERB
brj-23074	347	35	:	:	PUNCT
brj-23074	347	36	january	january	PROPN
brj-23074	347	37	24	24	NUM
brj-23074	347	38	,	,	PUNCT
brj-23074	347	39	2024	2024	NUM
brj-23074	347	40	.	.	PUNCT
brj-23074	348	1	doi	doi	NOUN
brj-23074	348	2	:	:	PUNCT
brj-23074	348	3	10.15376	10.15376	NUM
brj-23074	348	4	/	/	SYM
brj-23074	348	5	biores.19.1.1633	biores.19.1.1633	NOUN
brj-23074	348	6	-	-	PUNCT
brj-23074	348	7	1651	1651	NUM