id	sid	tid	token	lemma	pos
brj-24395	1	1	peer	peer	NOUN
brj-24395	1	2	-	-	PUNCT
brj-24395	1	3	review	review	NOUN
brj-24395	1	4	article	article	NOUN
brj-24395	1	5	peer	peer	NOUN
brj-24395	1	6	-	-	PUNCT
brj-24395	1	7	reviewed	review	VERB
brj-24395	1	8	article	article	NOUN
brj-24395	1	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24395	1	10	xin	xin	PROPN
brj-24395	1	11	et	et	PROPN
brj-24395	1	12	al	al	PROPN
brj-24395	1	13	.	.	PROPN
brj-24395	2	1	(	(	PUNCT
brj-24395	2	2	2025	2025	NUM
brj-24395	2	3	)	)	PUNCT
brj-24395	2	4	.	.	PUNCT
brj-24395	3	1	“	"	PUNCT
brj-24395	3	2	wood	wood	NOUN
brj-24395	3	3	species	specie	NOUN
brj-24395	3	4	i	i	NOUN
brj-24395	3	5	d	d	PROPN
brj-24395	3	6	by	by	ADP
brj-24395	3	7	infrared	infrared	NOUN
brj-24395	3	8	,	,	PUNCT
brj-24395	3	9	”	"	PUNCT
brj-24395	3	10	bioresources	bioresource	NOUN
brj-24395	3	11	20(2	20(2	NUM
brj-24395	3	12	)	)	PUNCT
brj-24395	3	13	,	,	PUNCT
brj-24395	3	14	4464	4464	NUM
brj-24395	3	15	-	-	SYM
brj-24395	3	16	4478	4478	NUM
brj-24395	3	17	.	.	PUNCT
brj-24395	4	1	4463	4463	NUM
brj-24395	4	2	application	application	NOUN
brj-24395	4	3	of	of	ADP
brj-24395	4	4	mtf	mtf	NOUN
brj-24395	4	5	-	-	PUNCT
brj-24395	4	6	sknet	sknet	NOUN
brj-24395	4	7	for	for	ADP
brj-24395	4	8	wood	wood	NOUN
brj-24395	4	9	species	specie	NOUN
brj-24395	4	10	classification	classification	NOUN
brj-24395	4	11	using	use	VERB
brj-24395	4	12	mid	mid	ADJ
brj-24395	4	13	-	-	ADJ
brj-24395	4	14	infrared	infrared	ADJ
brj-24395	4	15	spectroscopy	spectroscopy	NOUN
brj-24395	4	16	ying	ying	PROPN
brj-24395	4	17	-	-	PUNCT
brj-24395	4	18	jian	jian	PROPN
brj-24395	4	19	xin	xin	PROPN
brj-24395	4	20	,	,	PUNCT
brj-24395	4	21	a	a	X
brj-24395	4	22	,	,	PUNCT
brj-24395	4	23	c	c	PROPN
brj-24395	4	24	pei	pei	PROPN
brj-24395	4	25	-	-	PUNCT
brj-24395	4	26	pei	pei	PROPN
brj-24395	4	27	fang	fang	PROPN
brj-24395	4	28	,	,	PUNCT
brj-24395	4	29	a	a	DET
brj-24395	4	30	,	,	PUNCT
brj-24395	4	31	b	b	NOUN
brj-24395	4	32	,	,	PUNCT
brj-24395	4	33	c	c	PROPN
brj-24395	4	34	hong	hong	PROPN
brj-24395	4	35	-	-	PUNCT
brj-24395	4	36	peng	peng	PROPN
brj-24395	4	37	wang	wang	PROPN
brj-24395	4	38	,	,	PUNCT
brj-24395	4	39	a	a	PRON
brj-24395	4	40	and	and	CCONJ
brj-24395	4	41	xiong	xiong	PROPN
brj-24395	4	42	wan	wan	PROPN
brj-24395	4	43	,	,	PUNCT
brj-24395	4	44	a	a	PRON
brj-24395	4	45	,	,	PUNCT
brj-24395	4	46	*	*	PUNCT
brj-24395	4	47	*	*	PUNCT
brj-24395	4	48	corresponding	correspond	VERB
brj-24395	4	49	author	author	NOUN
brj-24395	4	50	:	:	PUNCT
brj-24395	4	51	wanxiong@mail.sitp.ac.cn	wanxiong@mail.sitp.ac.cn	PROPN
brj-24395	4	52	doi	doi	PROPN
brj-24395	4	53	:	:	PUNCT
brj-24395	4	54	10.15376	10.15376	NUM
brj-24395	4	55	/	/	SYM
brj-24395	4	56	biores.20.2.4464	biores.20.2.4464	PROPN
brj-24395	4	57	-	-	PUNCT
brj-24395	4	58	4478	4478	NUM
brj-24395	4	59	graphical	graphical	ADJ
brj-24395	4	60	abstract	abstract	NOUN
brj-24395	4	61	https://orcid.org/0000-0003-4163-3982	https://orcid.org/0000-0003-4163-3982	VERB
brj-24395	4	62	peer	peer	NOUN
brj-24395	4	63	-	-	PUNCT
brj-24395	4	64	reviewed	review	VERB
brj-24395	4	65	article	article	NOUN
brj-24395	4	66	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24395	4	67	xin	xin	PROPN
brj-24395	4	68	et	et	PROPN
brj-24395	4	69	al	al	PROPN
brj-24395	4	70	.	.	PROPN
brj-24395	5	1	(	(	PUNCT
brj-24395	5	2	2025	2025	NUM
brj-24395	5	3	)	)	PUNCT
brj-24395	5	4	.	.	PUNCT
brj-24395	6	1	“	"	PUNCT
brj-24395	6	2	wood	wood	NOUN
brj-24395	6	3	species	specie	NOUN
brj-24395	6	4	i	i	NOUN
brj-24395	6	5	d	d	PROPN
brj-24395	6	6	by	by	ADP
brj-24395	6	7	infrared	infrared	NOUN
brj-24395	6	8	,	,	PUNCT
brj-24395	6	9	”	"	PUNCT
brj-24395	6	10	bioresources	bioresource	NOUN
brj-24395	6	11	20(2	20(2	NUM
brj-24395	6	12	)	)	PUNCT
brj-24395	6	13	,	,	PUNCT
brj-24395	6	14	4464	4464	NUM
brj-24395	6	15	-	-	SYM
brj-24395	6	16	4478	4478	NUM
brj-24395	6	17	.	.	PUNCT
brj-24395	7	1	4464	4464	NUM
brj-24395	7	2	application	application	NOUN
brj-24395	7	3	of	of	ADP
brj-24395	7	4	mtf	mtf	NOUN
brj-24395	7	5	-	-	PUNCT
brj-24395	7	6	sknet	sknet	NOUN
brj-24395	7	7	for	for	ADP
brj-24395	7	8	wood	wood	NOUN
brj-24395	7	9	species	specie	NOUN
brj-24395	7	10	classification	classification	NOUN
brj-24395	7	11	using	use	VERB
brj-24395	7	12	mid	mid	ADJ
brj-24395	7	13	-	-	ADJ
brj-24395	7	14	infrared	infrared	ADJ
brj-24395	7	15	spectroscopy	spectroscopy	NOUN
brj-24395	7	16	ying	ying	PROPN
brj-24395	7	17	-	-	PUNCT
brj-24395	7	18	jian	jian	PROPN
brj-24395	7	19	xin	xin	PROPN
brj-24395	7	20	,	,	PUNCT
brj-24395	7	21	a	a	X
brj-24395	7	22	,	,	PUNCT
brj-24395	7	23	c	c	PROPN
brj-24395	7	24	pei	pei	PROPN
brj-24395	7	25	-	-	PUNCT
brj-24395	7	26	pei	pei	PROPN
brj-24395	7	27	fang	fang	PROPN
brj-24395	7	28	,	,	PUNCT
brj-24395	7	29	a	a	DET
brj-24395	7	30	,	,	PUNCT
brj-24395	7	31	b	b	NOUN
brj-24395	7	32	,	,	PUNCT
brj-24395	7	33	c	c	PROPN
brj-24395	7	34	hong	hong	PROPN
brj-24395	7	35	-	-	PUNCT
brj-24395	7	36	peng	peng	PROPN
brj-24395	7	37	wang	wang	PROPN
brj-24395	7	38	,	,	PUNCT
brj-24395	7	39	a	a	PRON
brj-24395	7	40	and	and	CCONJ
brj-24395	7	41	xiong	xiong	PROPN
brj-24395	7	42	wan	wan	PROPN
brj-24395	7	43	,	,	PUNCT
brj-24395	7	44	a	a	PRON
brj-24395	7	45	,	,	PUNCT
brj-24395	7	46	*	*	VERB
brj-24395	7	47	with	with	ADP
brj-24395	7	48	the	the	DET
brj-24395	7	49	recovery	recovery	NOUN
brj-24395	7	50	of	of	ADP
brj-24395	7	51	the	the	DET
brj-24395	7	52	economy	economy	NOUN
brj-24395	7	53	and	and	CCONJ
brj-24395	7	54	growth	growth	NOUN
brj-24395	7	55	of	of	ADP
brj-24395	7	56	living	living	NOUN
brj-24395	7	57	standards	standard	NOUN
brj-24395	7	58	,	,	PUNCT
brj-24395	7	59	the	the	DET
brj-24395	7	60	demand	demand	NOUN
brj-24395	7	61	for	for	ADP
brj-24395	7	62	wood	wood	NOUN
brj-24395	7	63	furniture	furniture	NOUN
brj-24395	7	64	is	be	AUX
brj-24395	7	65	increasing	increase	VERB
brj-24395	7	66	,	,	PUNCT
brj-24395	7	67	leading	lead	VERB
brj-24395	7	68	to	to	ADP
brj-24395	7	69	a	a	DET
brj-24395	7	70	focus	focus	NOUN
brj-24395	7	71	on	on	ADP
brj-24395	7	72	wood	wood	NOUN
brj-24395	7	73	quality	quality	NOUN
brj-24395	7	74	and	and	CCONJ
brj-24395	7	75	market	market	NOUN
brj-24395	7	76	value	value	NOUN
brj-24395	7	77	.	.	PUNCT
brj-24395	8	1	mid	mid	ADJ
brj-24395	8	2	-	-	ADJ
brj-24395	8	3	infrared	infrared	ADJ
brj-24395	8	4	(	(	PUNCT
brj-24395	8	5	mir	mir	NOUN
brj-24395	8	6	)	)	PUNCT
brj-24395	8	7	spectroscopy	spectroscopy	NOUN
brj-24395	8	8	,	,	PUNCT
brj-24395	8	9	which	which	PRON
brj-24395	8	10	characterizes	characterize	VERB
brj-24395	8	11	molecular	molecular	ADJ
brj-24395	8	12	vibrations	vibration	NOUN
brj-24395	8	13	,	,	PUNCT
brj-24395	8	14	is	be	AUX
brj-24395	8	15	well	well	ADV
brj-24395	8	16	-	-	PUNCT
brj-24395	8	17	suited	suit	VERB
brj-24395	8	18	for	for	ADP
brj-24395	8	19	wood	wood	NOUN
brj-24395	8	20	classification	classification	NOUN
brj-24395	8	21	due	due	ADP
brj-24395	8	22	to	to	ADP
brj-24395	8	23	its	its	PRON
brj-24395	8	24	ability	ability	NOUN
brj-24395	8	25	to	to	PART
brj-24395	8	26	identify	identify	VERB
brj-24395	8	27	molecular	molecular	ADJ
brj-24395	8	28	structures	structure	NOUN
brj-24395	8	29	.	.	PUNCT
brj-24395	9	1	this	this	DET
brj-24395	9	2	study	study	NOUN
brj-24395	9	3	utilizes	utilize	VERB
brj-24395	9	4	a	a	DET
brj-24395	9	5	fourier	fourier	NOUN
brj-24395	9	6	transform	transform	NOUN
brj-24395	9	7	infrared	infrared	ADJ
brj-24395	9	8	(	(	PUNCT
brj-24395	9	9	ftir	ftir	NOUN
brj-24395	9	10	)	)	PUNCT
brj-24395	9	11	spectrometer	spectrometer	NOUN
brj-24395	9	12	to	to	PART
brj-24395	9	13	classify	classify	VERB
brj-24395	9	14	31	31	NUM
brj-24395	9	15	wood	wood	NOUN
brj-24395	9	16	species	specie	NOUN
brj-24395	9	17	based	base	VERB
brj-24395	9	18	on	on	ADP
brj-24395	9	19	their	their	PRON
brj-24395	9	20	commercial	commercial	ADJ
brj-24395	9	21	categories	category	NOUN
brj-24395	9	22	.	.	PUNCT
brj-24395	10	1	while	while	SCONJ
brj-24395	10	2	the	the	DET
brj-24395	10	3	basic	basic	ADJ
brj-24395	10	4	composition	composition	NOUN
brj-24395	10	5	of	of	ADP
brj-24395	10	6	wood	wood	NOUN
brj-24395	10	7	species	specie	NOUN
brj-24395	10	8	is	be	AUX
brj-24395	10	9	similar	similar	ADJ
brj-24395	10	10	,	,	PUNCT
brj-24395	10	11	spectral	spectral	ADJ
brj-24395	10	12	data	datum	NOUN
brj-24395	10	13	are	be	AUX
brj-24395	10	14	overall	overall	ADV
brj-24395	10	15	close	close	ADJ
brj-24395	10	16	,	,	PUNCT
brj-24395	10	17	necessitating	necessitate	VERB
brj-24395	10	18	a	a	DET
brj-24395	10	19	robust	robust	ADJ
brj-24395	10	20	approach	approach	NOUN
brj-24395	10	21	for	for	ADP
brj-24395	10	22	accurate	accurate	ADJ
brj-24395	10	23	identification	identification	NOUN
brj-24395	10	24	.	.	PUNCT
brj-24395	11	1	to	to	PART
brj-24395	11	2	address	address	VERB
brj-24395	11	3	this	this	PRON
brj-24395	11	4	,	,	PUNCT
brj-24395	11	5	a	a	DET
brj-24395	11	6	two	two	NUM
brj-24395	11	7	-	-	PUNCT
brj-24395	11	8	dimensional	dimensional	ADJ
brj-24395	11	9	transformation	transformation	NOUN
brj-24395	11	10	of	of	ADP
brj-24395	11	11	the	the	DET
brj-24395	11	12	spectral	spectral	ADJ
brj-24395	11	13	data	data	NOUN
brj-24395	11	14	is	be	AUX
brj-24395	11	15	performed	perform	VERB
brj-24395	11	16	,	,	PUNCT
brj-24395	11	17	to	to	PART
brj-24395	11	18	convert	convert	VERB
brj-24395	11	19	wavenumber	wavenumber	NOUN
brj-24395	11	20	sequence	sequence	NOUN
brj-24395	11	21	and	and	CCONJ
brj-24395	11	22	state	state	NOUN
brj-24395	11	23	transition	transition	NOUN
brj-24395	11	24	probabilities	probability	NOUN
brj-24395	11	25	(	(	PUNCT
brj-24395	11	26	quantized	quantize	VERB
brj-24395	11	27	intensity	intensity	NOUN
brj-24395	11	28	levels	level	NOUN
brj-24395	11	29	)	)	PUNCT
brj-24395	11	30	of	of	ADP
brj-24395	11	31	spectra	spectra	NOUN
brj-24395	11	32	into	into	ADP
brj-24395	11	33	a	a	DET
brj-24395	11	34	matrix	matrix	NOUN
brj-24395	11	35	,	,	PUNCT
brj-24395	11	36	followed	follow	VERB
brj-24395	11	37	by	by	ADP
brj-24395	11	38	deep	deep	ADJ
brj-24395	11	39	learning	learn	VERB
brj-24395	11	40	classification	classification	NOUN
brj-24395	11	41	using	use	VERB
brj-24395	11	42	the	the	DET
brj-24395	11	43	transformed	transform	VERB
brj-24395	11	44	data	datum	NOUN
brj-24395	11	45	.	.	PUNCT
brj-24395	12	1	this	this	PRON
brj-24395	12	2	resulted	result	VERB
brj-24395	12	3	in	in	ADP
brj-24395	12	4	the	the	DET
brj-24395	12	5	development	development	NOUN
brj-24395	12	6	of	of	ADP
brj-24395	12	7	the	the	DET
brj-24395	12	8	mtf	mtf	PROPN
brj-24395	12	9	-	-	PUNCT
brj-24395	12	10	sknet	sknet	NOUN
brj-24395	12	11	model	model	NOUN
brj-24395	12	12	,	,	PUNCT
brj-24395	12	13	achieving	achieve	VERB
brj-24395	12	14	a	a	DET
brj-24395	12	15	classification	classification	NOUN
brj-24395	12	16	accuracy	accuracy	NOUN
brj-24395	12	17	of	of	ADP
brj-24395	12	18	93	93	NUM
brj-24395	12	19	%	%	NOUN
brj-24395	12	20	for	for	ADP
brj-24395	12	21	wood	wood	NOUN
brj-24395	12	22	species	specie	NOUN
brj-24395	12	23	.	.	PUNCT
brj-24395	13	1	the	the	DET
brj-24395	13	2	model	model	NOUN
brj-24395	13	3	demonstrated	demonstrate	VERB
brj-24395	13	4	strong	strong	ADJ
brj-24395	13	5	generalization	generalization	NOUN
brj-24395	13	6	performance	performance	NOUN
brj-24395	13	7	,	,	PUNCT
brj-24395	13	8	reaching	reach	VERB
brj-24395	13	9	96	96	NUM
brj-24395	13	10	%	%	NOUN
brj-24395	13	11	accuracy	accuracy	NOUN
brj-24395	13	12	in	in	ADP
brj-24395	13	13	classifying	classify	VERB
brj-24395	13	14	the	the	DET
brj-24395	13	15	rosewood	rosewood	NOUN
brj-24395	13	16	category	category	NOUN
brj-24395	13	17	of	of	ADP
brj-24395	13	18	woods	wood	NOUN
brj-24395	13	19	.	.	PUNCT
brj-24395	14	1	doi	doi	NOUN
brj-24395	14	2	:	:	PUNCT
brj-24395	14	3	10.15376	10.15376	NUM
brj-24395	14	4	/	/	SYM
brj-24395	14	5	biores.20.2.4464	biores.20.2.4464	PROPN
brj-24395	14	6	-	-	PUNCT
brj-24395	14	7	4478	4478	NUM
brj-24395	14	8	keywords	keyword	NOUN
brj-24395	14	9	:	:	PUNCT
brj-24395	14	10	mid	mid	ADJ
brj-24395	14	11	-	-	ADJ
brj-24395	14	12	infrared	infrared	ADJ
brj-24395	14	13	spectroscopy	spectroscopy	NOUN
brj-24395	14	14	;	;	PUNCT
brj-24395	14	15	wood	wood	NOUN
brj-24395	14	16	classification	classification	NOUN
brj-24395	14	17	;	;	PUNCT
brj-24395	14	18	selective	selective	ADJ
brj-24395	14	19	kernel	kernel	PROPN
brj-24395	14	20	network	network	NOUN
brj-24395	14	21	;	;	PUNCT
brj-24395	14	22	markov	markov	NOUN
brj-24395	14	23	transition	transition	NOUN
brj-24395	14	24	field	field	NOUN
brj-24395	14	25	contact	contact	NOUN
brj-24395	14	26	information	information	NOUN
brj-24395	14	27	:	:	PUNCT
brj-24395	14	28	a	a	DET
brj-24395	14	29	:	:	PUNCT
brj-24395	14	30	key	key	ADJ
brj-24395	14	31	laboratory	laboratory	NOUN
brj-24395	14	32	of	of	ADP
brj-24395	14	33	space	space	NOUN
brj-24395	14	34	active	active	ADJ
brj-24395	14	35	opto	opto	ADJ
brj-24395	14	36	-	-	PUNCT
brj-24395	14	37	electronics	electronic	NOUN
brj-24395	14	38	technology	technology	NOUN
brj-24395	14	39	of	of	ADP
brj-24395	14	40	the	the	DET
brj-24395	14	41	chinese	chinese	PROPN
brj-24395	14	42	academy	academy	PROPN
brj-24395	14	43	of	of	ADP
brj-24395	14	44	sciences	sciences	PROPN
brj-24395	14	45	,	,	PUNCT
brj-24395	14	46	shanghai	shanghai	PROPN
brj-24395	14	47	institute	institute	PROPN
brj-24395	14	48	of	of	ADP
brj-24395	14	49	technical	technical	PROPN
brj-24395	14	50	physics	physics	PROPN
brj-24395	14	51	,	,	PUNCT
brj-24395	14	52	chinese	chinese	PROPN
brj-24395	14	53	academy	academy	PROPN
brj-24395	14	54	of	of	ADP
brj-24395	14	55	sciences	sciences	PROPN
brj-24395	14	56	,	,	PUNCT
brj-24395	14	57	shanghai	shanghai	PROPN
brj-24395	14	58	200083	200083	NUM
brj-24395	14	59	,	,	PUNCT
brj-24395	14	60	china	china	PROPN
brj-24395	14	61	;	;	PUNCT
brj-24395	14	62	b	b	X
brj-24395	14	63	:	:	PUNCT
brj-24395	14	64	key	key	ADJ
brj-24395	14	65	laboratory	laboratory	NOUN
brj-24395	14	66	of	of	ADP
brj-24395	14	67	systems	system	NOUN
brj-24395	14	68	health	health	NOUN
brj-24395	14	69	science	science	NOUN
brj-24395	14	70	of	of	ADP
brj-24395	14	71	zhejiang	zhejiang	PROPN
brj-24395	14	72	province	province	PROPN
brj-24395	14	73	,	,	PUNCT
brj-24395	14	74	school	school	NOUN
brj-24395	14	75	of	of	ADP
brj-24395	14	76	life	life	NOUN
brj-24395	14	77	science	science	NOUN
brj-24395	14	78	,	,	PUNCT
brj-24395	14	79	hangzhou	hangzhou	PROPN
brj-24395	14	80	institute	institute	PROPN
brj-24395	14	81	for	for	ADP
brj-24395	14	82	advanced	advanced	ADJ
brj-24395	14	83	study	study	NOUN
brj-24395	14	84	,	,	PUNCT
brj-24395	14	85	university	university	NOUN
brj-24395	14	86	of	of	ADP
brj-24395	14	87	chinese	chinese	PROPN
brj-24395	14	88	academy	academy	PROPN
brj-24395	14	89	of	of	ADP
brj-24395	14	90	sciences	sciences	PROPN
brj-24395	14	91	,	,	PUNCT
brj-24395	14	92	hangzhou	hangzhou	PROPN
brj-24395	14	93	310024	310024	NUM
brj-24395	14	94	,	,	PUNCT
brj-24395	14	95	china	china	PROPN
brj-24395	14	96	;	;	PUNCT
brj-24395	14	97	c	c	X
brj-24395	14	98	:	:	PUNCT
brj-24395	14	99	university	university	NOUN
brj-24395	14	100	of	of	ADP
brj-24395	14	101	the	the	DET
brj-24395	14	102	chinese	chinese	PROPN
brj-24395	14	103	academy	academy	PROPN
brj-24395	14	104	of	of	ADP
brj-24395	14	105	sciences	sciences	PROPN
brj-24395	14	106	,	,	PUNCT
brj-24395	14	107	beijing	beijing	PROPN
brj-24395	14	108	100049	100049	NUM
brj-24395	14	109	,	,	PUNCT
brj-24395	14	110	china	china	PROPN
brj-24395	14	111	;	;	PUNCT
brj-24395	14	112	*	*	PUNCT
brj-24395	14	113	corresponding	correspond	VERB
brj-24395	14	114	author	author	NOUN
brj-24395	14	115	:	:	PUNCT
brj-24395	14	116	wanxiong@mail.sitp.ac.cn	wanxiong@mail.sitp.ac.cn	NOUN
brj-24395	14	117	introduction	introduction	NOUN
brj-24395	14	118	against	against	ADP
brj-24395	14	119	the	the	DET
brj-24395	14	120	backdrop	backdrop	NOUN
brj-24395	14	121	of	of	ADP
brj-24395	14	122	china	china	PROPN
brj-24395	14	123	’s	’s	PART
brj-24395	14	124	rapid	rapid	ADJ
brj-24395	14	125	economic	economic	ADJ
brj-24395	14	126	growth	growth	NOUN
brj-24395	14	127	,	,	PUNCT
brj-24395	14	128	the	the	DET
brj-24395	14	129	wood	wood	NOUN
brj-24395	14	130	products	product	NOUN
brj-24395	14	131	industry	industry	NOUN
brj-24395	14	132	is	be	AUX
brj-24395	14	133	also	also	ADV
brj-24395	14	134	developing	develop	VERB
brj-24395	14	135	swiftly	swiftly	ADV
brj-24395	14	136	,	,	PUNCT
brj-24395	14	137	leading	lead	VERB
brj-24395	14	138	to	to	ADP
brj-24395	14	139	a	a	DET
brj-24395	14	140	steady	steady	ADJ
brj-24395	14	141	increase	increase	NOUN
brj-24395	14	142	in	in	ADP
brj-24395	14	143	the	the	DET
brj-24395	14	144	demand	demand	NOUN
brj-24395	14	145	for	for	ADP
brj-24395	14	146	timber	timber	NOUN
brj-24395	14	147	.	.	PUNCT
brj-24395	15	1	currently	currently	ADV
brj-24395	15	2	,	,	PUNCT
brj-24395	15	3	china	china	PROPN
brj-24395	15	4	’s	’s	PART
brj-24395	15	5	timber	timber	NOUN
brj-24395	15	6	trade	trade	NOUN
brj-24395	15	7	is	be	AUX
brj-24395	15	8	characterized	characterize	VERB
brj-24395	15	9	by	by	ADP
brj-24395	15	10	supplementary	supplementary	ADJ
brj-24395	15	11	import	import	NOUN
brj-24395	15	12	trade	trade	NOUN
brj-24395	15	13	,	,	PUNCT
brj-24395	15	14	with	with	ADP
brj-24395	15	15	approximately	approximately	ADV
brj-24395	15	16	80	80	NUM
brj-24395	15	17	%	%	NOUN
brj-24395	15	18	of	of	ADP
brj-24395	15	19	the	the	DET
brj-24395	15	20	timber	timber	NOUN
brj-24395	15	21	being	be	AUX
brj-24395	15	22	imported	import	VERB
brj-24395	15	23	(	(	PUNCT
brj-24395	15	24	ding	ding	NOUN
brj-24395	15	25	and	and	CCONJ
brj-24395	15	26	yin	yin	PROPN
brj-24395	15	27	2024	2024	NUM
brj-24395	15	28	)	)	PUNCT
brj-24395	15	29	.	.	PUNCT
brj-24395	16	1	the	the	DET
brj-24395	16	2	variety	variety	NOUN
brj-24395	16	3	of	of	ADP
brj-24395	16	4	imported	import	VERB
brj-24395	16	5	wood	wood	NOUN
brj-24395	16	6	species	specie	NOUN
brj-24395	16	7	is	be	AUX
brj-24395	16	8	vast	vast	ADJ
brj-24395	16	9	,	,	PUNCT
brj-24395	16	10	and	and	CCONJ
brj-24395	16	11	the	the	DET
brj-24395	16	12	sources	source	NOUN
brj-24395	16	13	of	of	ADP
brj-24395	16	14	timber	timber	NOUN
brj-24395	16	15	are	be	AUX
brj-24395	16	16	complex	complex	ADJ
brj-24395	16	17	.	.	PUNCT
brj-24395	17	1	the	the	DET
brj-24395	17	2	large	large	ADJ
brj-24395	17	3	market	market	NOUN
brj-24395	17	4	size	size	NOUN
brj-24395	17	5	makes	make	VERB
brj-24395	17	6	it	it	PRON
brj-24395	17	7	prone	prone	ADJ
brj-24395	17	8	to	to	ADP
brj-24395	17	9	trade	trade	VERB
brj-24395	17	10	frauds	fraud	NOUN
brj-24395	17	11	such	such	ADJ
brj-24395	17	12	as	as	ADP
brj-24395	17	13	tariff	tariff	NOUN
brj-24395	17	14	evasion	evasion	NOUN
brj-24395	17	15	and	and	CCONJ
brj-24395	17	16	the	the	DET
brj-24395	17	17	passing	passing	NOUN
brj-24395	17	18	off	off	ADP
brj-24395	17	19	of	of	ADP
brj-24395	17	20	inferior	inferior	ADJ
brj-24395	17	21	goods	good	NOUN
brj-24395	17	22	as	as	ADV
brj-24395	17	23	superior	superior	ADJ
brj-24395	17	24	.	.	PUNCT
brj-24395	18	1	in	in	ADP
brj-24395	18	2	the	the	DET
brj-24395	18	3	new	new	ADJ
brj-24395	18	4	situation	situation	NOUN
brj-24395	18	5	,	,	PUNCT
brj-24395	18	6	accurately	accurately	ADV
brj-24395	18	7	identifying	identify	VERB
brj-24395	18	8	wood	wood	NOUN
brj-24395	18	9	species	specie	NOUN
brj-24395	18	10	holds	hold	VERB
brj-24395	18	11	practical	practical	ADJ
brj-24395	18	12	significance	significance	NOUN
brj-24395	18	13	for	for	ADP
brj-24395	18	14	stabilizing	stabilize	VERB
brj-24395	18	15	the	the	DET
brj-24395	18	16	market	market	NOUN
brj-24395	18	17	and	and	CCONJ
brj-24395	18	18	protecting	protect	VERB
brj-24395	18	19	consumer	consumer	NOUN
brj-24395	18	20	interests	interest	NOUN
brj-24395	18	21	.	.	PUNCT
brj-24395	19	1	traditional	traditional	ADJ
brj-24395	19	2	methods	method	NOUN
brj-24395	19	3	of	of	ADP
brj-24395	19	4	wood	wood	NOUN
brj-24395	19	5	identification	identification	NOUN
brj-24395	19	6	primarily	primarily	ADV
brj-24395	19	7	include	include	VERB
brj-24395	19	8	morphological	morphological	ADJ
brj-24395	19	9	observation	observation	NOUN
brj-24395	19	10	and	and	CCONJ
brj-24395	19	11	chemical	chemical	NOUN
brj-24395	19	12	composition	composition	NOUN
brj-24395	19	13	analysis	analysis	NOUN
brj-24395	19	14	(	(	PUNCT
brj-24395	19	15	abe	abe	PROPN
brj-24395	19	16	2016	2016	NUM
brj-24395	19	17	)	)	PUNCT
brj-24395	19	18	.	.	PUNCT
brj-24395	20	1	morphological	morphological	ADJ
brj-24395	20	2	observation	observation	NOUN
brj-24395	20	3	relies	rely	VERB
brj-24395	20	4	on	on	ADP
brj-24395	20	5	the	the	DET
brj-24395	20	6	inspection	inspection	NOUN
brj-24395	20	7	of	of	ADP
brj-24395	20	8	the	the	DET
brj-24395	20	9	wood	wood	NOUN
brj-24395	20	10	’s	’s	PART
brj-24395	20	11	macro	macro	NOUN
brj-24395	20	12	and	and	CCONJ
brj-24395	20	13	microstructures	microstructure	NOUN
brj-24395	20	14	,	,	PUNCT
brj-24395	20	15	such	such	ADJ
brj-24395	20	16	as	as	ADP
brj-24395	20	17	ring	ring	NOUN
brj-24395	20	18	width	width	NOUN
brj-24395	20	19	,	,	PUNCT
brj-24395	20	20	vessel	vessel	NOUN
brj-24395	20	21	morphology	morphology	NOUN
brj-24395	20	22	,	,	PUNCT
brj-24395	20	23	and	and	CCONJ
brj-24395	20	24	grain	grain	NOUN
brj-24395	20	25	patterns	pattern	NOUN
brj-24395	20	26	.	.	PUNCT
brj-24395	21	1	while	while	SCONJ
brj-24395	21	2	this	this	DET
brj-24395	21	3	method	method	NOUN
brj-24395	21	4	is	be	AUX
brj-24395	21	5	simple	simple	ADJ
brj-24395	21	6	,	,	PUNCT
brj-24395	21	7	it	it	PRON
brj-24395	21	8	is	be	AUX
brj-24395	21	9	often	often	ADV
brj-24395	21	10	influenced	influence	VERB
brj-24395	21	11	by	by	ADP
brj-24395	21	12	the	the	DET
brj-24395	21	13	observer	observer	NOUN
brj-24395	21	14	’s	’s	PART
brj-24395	21	15	experience	experience	NOUN
brj-24395	21	16	and	and	CCONJ
brj-24395	21	17	technical	technical	ADJ
brj-24395	21	18	level	level	NOUN
brj-24395	21	19	,	,	PUNCT
brj-24395	21	20	with	with	ADP
brj-24395	21	21	a	a	DET
brj-24395	21	22	high	high	ADJ
brj-24395	21	23	degree	degree	NOUN
brj-24395	21	24	of	of	ADP
brj-24395	21	25	subjectivity	subjectivity	NOUN
brj-24395	21	26	and	and	CCONJ
brj-24395	21	27	difficulty	difficulty	NOUN
brj-24395	21	28	in	in	ADP
brj-24395	21	29	distinguishing	distinguish	VERB
brj-24395	21	30	wood	wood	NOUN
brj-24395	21	31	species	specie	NOUN
brj-24395	21	32	with	with	ADP
brj-24395	21	33	similar	similar	ADJ
brj-24395	21	34	appearances	appearance	NOUN
brj-24395	21	35	.	.	PUNCT
brj-24395	22	1	chemical	chemical	ADJ
brj-24395	22	2	composition	composition	NOUN
brj-24395	22	3	analysis	analysis	NOUN
brj-24395	22	4	https://orcid.org/0000-0003-4163-3982	https://orcid.org/0000-0003-4163-3982	ADJ
brj-24395	22	5	peer	peer	NOUN
brj-24395	22	6	-	-	PUNCT
brj-24395	22	7	reviewed	review	VERB
brj-24395	22	8	article	article	NOUN
brj-24395	22	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24395	22	10	xin	xin	PROPN
brj-24395	22	11	et	et	PROPN
brj-24395	22	12	al	al	PROPN
brj-24395	22	13	.	.	PROPN
brj-24395	23	1	(	(	PUNCT
brj-24395	23	2	2025	2025	NUM
brj-24395	23	3	)	)	PUNCT
brj-24395	23	4	.	.	PUNCT
brj-24395	24	1	“	"	PUNCT
brj-24395	24	2	wood	wood	NOUN
brj-24395	24	3	species	specie	NOUN
brj-24395	24	4	i	i	NOUN
brj-24395	24	5	d	d	PROPN
brj-24395	24	6	by	by	ADP
brj-24395	24	7	infrared	infrared	NOUN
brj-24395	24	8	,	,	PUNCT
brj-24395	24	9	”	"	PUNCT
brj-24395	24	10	bioresources	bioresource	NOUN
brj-24395	24	11	20(2	20(2	NUM
brj-24395	24	12	)	)	PUNCT
brj-24395	24	13	,	,	PUNCT
brj-24395	24	14	4464	4464	NUM
brj-24395	24	15	-	-	SYM
brj-24395	24	16	4478	4478	NUM
brj-24395	24	17	.	.	PUNCT
brj-24395	25	1	4465	4465	NUM
brj-24395	25	2	involves	involve	VERB
brj-24395	25	3	qualitative	qualitative	ADJ
brj-24395	25	4	and	and	CCONJ
brj-24395	25	5	quantitative	quantitative	ADJ
brj-24395	25	6	analysis	analysis	NOUN
brj-24395	25	7	of	of	ADP
brj-24395	25	8	the	the	DET
brj-24395	25	9	wood	wood	NOUN
brj-24395	25	10	’s	’s	PART
brj-24395	25	11	chemical	chemical	ADJ
brj-24395	25	12	components	component	NOUN
brj-24395	25	13	using	use	VERB
brj-24395	25	14	chemical	chemical	ADJ
brj-24395	25	15	reagents	reagent	NOUN
brj-24395	25	16	,	,	PUNCT
brj-24395	25	17	such	such	ADJ
brj-24395	25	18	as	as	ADP
brj-24395	25	19	the	the	DET
brj-24395	25	20	determination	determination	NOUN
brj-24395	25	21	of	of	ADP
brj-24395	25	22	cellulose	cellulose	NOUN
brj-24395	25	23	,	,	PUNCT
brj-24395	25	24	hemicellulose	hemicellulose	NOUN
brj-24395	25	25	,	,	PUNCT
brj-24395	25	26	and	and	CCONJ
brj-24395	25	27	lignin	lignin	PROPN
brj-24395	25	28	content	content	NOUN
brj-24395	25	29	.	.	PUNCT
brj-24395	26	1	however	however	ADV
brj-24395	26	2	,	,	PUNCT
brj-24395	26	3	this	this	DET
brj-24395	26	4	method	method	NOUN
brj-24395	26	5	is	be	AUX
brj-24395	26	6	complex	complex	ADJ
brj-24395	26	7	,	,	PUNCT
brj-24395	26	8	requires	require	VERB
brj-24395	26	9	specialized	specialized	ADJ
brj-24395	26	10	equipment	equipment	NOUN
brj-24395	26	11	and	and	CCONJ
brj-24395	26	12	reagents	reagent	NOUN
brj-24395	26	13	,	,	PUNCT
brj-24395	26	14	and	and	CCONJ
brj-24395	26	15	may	may	AUX
brj-24395	26	16	cause	cause	VERB
brj-24395	26	17	damage	damage	NOUN
brj-24395	26	18	during	during	ADP
brj-24395	26	19	sample	sample	NOUN
brj-24395	26	20	processing	processing	NOUN
brj-24395	26	21	,	,	PUNCT
brj-24395	26	22	making	make	VERB
brj-24395	26	23	it	it	PRON
brj-24395	26	24	time	time	NOUN
brj-24395	26	25	-	-	PUNCT
brj-24395	26	26	consuming	consume	VERB
brj-24395	26	27	.	.	PUNCT
brj-24395	27	1	especially	especially	ADV
brj-24395	27	2	when	when	SCONJ
brj-24395	27	3	dealing	deal	VERB
brj-24395	27	4	with	with	ADP
brj-24395	27	5	a	a	DET
brj-24395	27	6	wide	wide	ADJ
brj-24395	27	7	variety	variety	NOUN
brj-24395	27	8	of	of	ADP
brj-24395	27	9	tree	tree	NOUN
brj-24395	27	10	species	specie	NOUN
brj-24395	27	11	,	,	PUNCT
brj-24395	27	12	manual	manual	ADJ
brj-24395	27	13	identification	identification	NOUN
brj-24395	27	14	can	can	AUX
brj-24395	27	15	be	be	AUX
brj-24395	27	16	very	very	ADV
brj-24395	27	17	timeconsuming	timeconsuming	ADJ
brj-24395	27	18	and	and	CCONJ
brj-24395	27	19	labor	labor	NOUN
brj-24395	27	20	-	-	PUNCT
brj-24395	27	21	intensive	intensive	ADJ
brj-24395	27	22	,	,	PUNCT
brj-24395	27	23	necessitating	necessitate	VERB
brj-24395	27	24	an	an	DET
brj-24395	27	25	efficient	efficient	ADJ
brj-24395	27	26	and	and	CCONJ
brj-24395	27	27	non	non	ADJ
brj-24395	27	28	-	-	ADJ
brj-24395	27	29	destructive	destructive	ADJ
brj-24395	27	30	identification	identification	NOUN
brj-24395	27	31	method	method	NOUN
brj-24395	27	32	.	.	PUNCT
brj-24395	28	1	significant	significant	ADJ
brj-24395	28	2	progress	progress	NOUN
brj-24395	28	3	has	have	AUX
brj-24395	28	4	been	be	AUX
brj-24395	28	5	made	make	VERB
brj-24395	28	6	in	in	ADP
brj-24395	28	7	the	the	DET
brj-24395	28	8	use	use	NOUN
brj-24395	28	9	of	of	ADP
brj-24395	28	10	spectroscopy	spectroscopy	NOUN
brj-24395	28	11	for	for	ADP
brj-24395	28	12	wood	wood	NOUN
brj-24395	28	13	analysis	analysis	NOUN
brj-24395	28	14	,	,	PUNCT
brj-24395	28	15	with	with	ADP
brj-24395	28	16	both	both	DET
brj-24395	28	17	mid	mid	ADJ
brj-24395	28	18	-	-	ADJ
brj-24395	28	19	infrared	infrared	ADJ
brj-24395	28	20	(	(	PUNCT
brj-24395	28	21	mir	mir	PROPN
brj-24395	28	22	,	,	PUNCT
brj-24395	28	23	400	400	NUM
brj-24395	28	24	to	to	ADP
brj-24395	28	25	4000	4000	NUM
brj-24395	28	26	cm-1	cm-1	NOUN
brj-24395	28	27	)	)	PUNCT
brj-24395	28	28	and	and	CCONJ
brj-24395	28	29	near	near	ADV
brj-24395	28	30	-	-	PUNCT
brj-24395	28	31	infrared	infrared	ADJ
brj-24395	28	32	(	(	PUNCT
brj-24395	28	33	nir	nir	NOUN
brj-24395	28	34	,	,	PUNCT
brj-24395	28	35	12500	12500	NUM
brj-24395	28	36	to	to	ADP
brj-24395	28	37	4000	4000	NUM
brj-24395	28	38	cm-1	cm-1	NOUN
brj-24395	28	39	)	)	PUNCT
brj-24395	28	40	technologies	technology	NOUN
brj-24395	28	41	demonstrating	demonstrate	VERB
brj-24395	28	42	effectiveness	effectiveness	NOUN
brj-24395	28	43	and	and	CCONJ
brj-24395	28	44	accuracy	accuracy	NOUN
brj-24395	28	45	(	(	PUNCT
brj-24395	28	46	huang	huang	PROPN
brj-24395	28	47	et	et	PROPN
brj-24395	28	48	al	al	PROPN
brj-24395	28	49	.	.	PROPN
brj-24395	28	50	2008	2008	NUM
brj-24395	28	51	;	;	PUNCT
brj-24395	28	52	li	li	PROPN
brj-24395	28	53	et	et	PROPN
brj-24395	28	54	al	al	PROPN
brj-24395	28	55	.	.	PROPN
brj-24395	28	56	2015	2015	NUM
brj-24395	28	57	;	;	PUNCT
brj-24395	28	58	shi	shi	PROPN
brj-24395	28	59	et	et	PROPN
brj-24395	28	60	al	al	PROPN
brj-24395	28	61	.	.	PROPN
brj-24395	28	62	2018	2018	NUM
brj-24395	28	63	;	;	PUNCT
brj-24395	28	64	pan	pan	PROPN
brj-24395	28	65	et	et	PROPN
brj-24395	28	66	al	al	PROPN
brj-24395	28	67	.	.	PROPN
brj-24395	28	68	2023	2023	NUM
brj-24395	28	69	;	;	PUNCT
brj-24395	28	70	das	das	PROPN
brj-24395	28	71	et	et	PROPN
brj-24395	28	72	al	al	PROPN
brj-24395	28	73	.	.	PROPN
brj-24395	28	74	2024	2024	NUM
brj-24395	28	75	;	;	PUNCT
brj-24395	28	76	jesus	jesus	PROPN
brj-24395	28	77	et	et	PROPN
brj-24395	28	78	al	al	PROPN
brj-24395	28	79	.	.	PROPN
brj-24395	28	80	2024	2024	NUM
brj-24395	28	81	)	)	PUNCT
brj-24395	28	82	.	.	PUNCT
brj-24395	29	1	before	before	ADP
brj-24395	29	2	classifying	classify	VERB
brj-24395	29	3	using	use	VERB
brj-24395	29	4	spectral	spectral	ADJ
brj-24395	29	5	data	datum	NOUN
brj-24395	29	6	,	,	PUNCT
brj-24395	29	7	preprocessing	preprocessing	NOUN
brj-24395	29	8	is	be	AUX
brj-24395	29	9	necessary	necessary	ADJ
brj-24395	29	10	to	to	PART
brj-24395	29	11	better	well	ADV
brj-24395	29	12	summarize	summarize	VERB
brj-24395	29	13	features	feature	NOUN
brj-24395	29	14	for	for	ADP
brj-24395	29	15	classification	classification	NOUN
brj-24395	29	16	algorithms	algorithm	NOUN
brj-24395	29	17	and	and	CCONJ
brj-24395	29	18	achieve	achieve	VERB
brj-24395	29	19	better	well	ADJ
brj-24395	29	20	classification	classification	NOUN
brj-24395	29	21	results	result	NOUN
brj-24395	29	22	.	.	PUNCT
brj-24395	30	1	various	various	ADJ
brj-24395	30	2	other	other	ADJ
brj-24395	30	3	algorithms	algorithm	NOUN
brj-24395	30	4	,	,	PUNCT
brj-24395	30	5	such	such	ADJ
brj-24395	30	6	as	as	ADP
brj-24395	30	7	standard	standard	ADJ
brj-24395	30	8	normal	normal	ADJ
brj-24395	30	9	variate	variate	NOUN
brj-24395	30	10	(	(	PUNCT
brj-24395	30	11	snv	snv	PROPN
brj-24395	30	12	)	)	PUNCT
brj-24395	30	13	and	and	CCONJ
brj-24395	30	14	multiplicative	multiplicative	ADJ
brj-24395	30	15	scatter	scatter	NOUN
brj-24395	30	16	correction	correction	NOUN
brj-24395	30	17	(	(	PUNCT
brj-24395	30	18	msc	msc	PROPN
brj-24395	30	19	)	)	PUNCT
brj-24395	30	20	,	,	PUNCT
brj-24395	30	21	have	have	AUX
brj-24395	30	22	been	be	AUX
brj-24395	30	23	applied	apply	VERB
brj-24395	30	24	in	in	ADP
brj-24395	30	25	the	the	DET
brj-24395	30	26	preprocessing	preprocessing	NOUN
brj-24395	30	27	process	process	NOUN
brj-24395	30	28	to	to	PART
brj-24395	30	29	obtain	obtain	VERB
brj-24395	30	30	satisfactory	satisfactory	ADJ
brj-24395	30	31	preprocessing	preprocessing	NOUN
brj-24395	30	32	effects	effect	NOUN
brj-24395	30	33	(	(	PUNCT
brj-24395	30	34	mou	mou	PROPN
brj-24395	30	35	et	et	PROPN
brj-24395	30	36	al	al	PROPN
brj-24395	30	37	.	.	PROPN
brj-24395	30	38	2013	2013	NUM
brj-24395	30	39	;	;	PUNCT
brj-24395	30	40	grisanti	grisanti	X
brj-24395	30	41	et	et	PROPN
brj-24395	30	42	al	al	PROPN
brj-24395	30	43	.	.	PROPN
brj-24395	30	44	2018	2018	NUM
brj-24395	30	45	)	)	PUNCT
brj-24395	30	46	.	.	PUNCT
brj-24395	31	1	previous	previous	ADJ
brj-24395	31	2	research	research	NOUN
brj-24395	31	3	has	have	AUX
brj-24395	31	4	focused	focus	VERB
brj-24395	31	5	on	on	ADP
brj-24395	31	6	developing	develop	VERB
brj-24395	31	7	classification	classification	NOUN
brj-24395	31	8	models	model	NOUN
brj-24395	31	9	for	for	ADP
brj-24395	31	10	wood	wood	NOUN
brj-24395	31	11	species	specie	NOUN
brj-24395	31	12	identification	identification	NOUN
brj-24395	31	13	,	,	PUNCT
brj-24395	31	14	using	use	VERB
brj-24395	31	15	machine	machine	NOUN
brj-24395	31	16	learning	learn	VERB
brj-24395	31	17	algorithms	algorithm	NOUN
brj-24395	31	18	such	such	ADJ
brj-24395	31	19	as	as	ADP
brj-24395	31	20	pca	pca	NOUN
brj-24395	31	21	-	-	PUNCT
brj-24395	31	22	svm	svm	PROPN
brj-24395	31	23	,	,	PUNCT
brj-24395	31	24	plsda	plsda	NOUN
brj-24395	31	25	,	,	PUNCT
brj-24395	31	26	and	and	CCONJ
brj-24395	31	27	simca	simca	VERB
brj-24395	31	28	to	to	PART
brj-24395	31	29	directly	directly	ADV
brj-24395	31	30	classify	classify	VERB
brj-24395	31	31	the	the	DET
brj-24395	31	32	basic	basic	ADJ
brj-24395	31	33	types	type	NOUN
brj-24395	31	34	of	of	ADP
brj-24395	31	35	trees	tree	NOUN
brj-24395	31	36	(	(	PUNCT
brj-24395	31	37	jesus	jesus	PROPN
brj-24395	31	38	et	et	PROPN
brj-24395	31	39	al	al	PROPN
brj-24395	31	40	.	.	PROPN
brj-24395	31	41	2024	2024	NUM
brj-24395	31	42	)	)	PUNCT
brj-24395	31	43	.	.	PUNCT
brj-24395	32	1	although	although	SCONJ
brj-24395	32	2	these	these	DET
brj-24395	32	3	existing	exist	VERB
brj-24395	32	4	methods	method	NOUN
brj-24395	32	5	have	have	AUX
brj-24395	32	6	contributed	contribute	VERB
brj-24395	32	7	to	to	ADP
brj-24395	32	8	wood	wood	NOUN
brj-24395	32	9	species	specie	NOUN
brj-24395	32	10	identification	identification	NOUN
brj-24395	32	11	,	,	PUNCT
brj-24395	32	12	they	they	PRON
brj-24395	32	13	often	often	ADV
brj-24395	32	14	lack	lack	VERB
brj-24395	32	15	generalization	generalization	NOUN
brj-24395	32	16	ability	ability	NOUN
brj-24395	32	17	,	,	PUNCT
brj-24395	32	18	especially	especially	ADV
brj-24395	32	19	in	in	ADP
brj-24395	32	20	distinguishing	distinguish	VERB
brj-24395	32	21	between	between	ADP
brj-24395	32	22	high	high	ADJ
brj-24395	32	23	-	-	PUNCT
brj-24395	32	24	value	value	NOUN
brj-24395	32	25	and	and	CCONJ
brj-24395	32	26	low	low	ADJ
brj-24395	32	27	-	-	PUNCT
brj-24395	32	28	value	value	NOUN
brj-24395	32	29	wood	wood	NOUN
brj-24395	32	30	species	specie	NOUN
brj-24395	32	31	,	,	PUNCT
brj-24395	32	32	which	which	PRON
brj-24395	32	33	is	be	AUX
brj-24395	32	34	the	the	DET
brj-24395	32	35	research	research	NOUN
brj-24395	32	36	objective	objective	NOUN
brj-24395	32	37	of	of	ADP
brj-24395	32	38	this	this	DET
brj-24395	32	39	paper	paper	NOUN
brj-24395	32	40	—	—	PUNCT
brj-24395	32	41	to	to	PART
brj-24395	32	42	differentiate	differentiate	VERB
brj-24395	32	43	material	material	NOUN
brj-24395	32	44	value	value	NOUN
brj-24395	32	45	directly	directly	ADV
brj-24395	32	46	based	base	VERB
brj-24395	32	47	on	on	ADP
brj-24395	32	48	features	feature	NOUN
brj-24395	32	49	.	.	PUNCT
brj-24395	33	1	to	to	PART
brj-24395	33	2	enhance	enhance	VERB
brj-24395	33	3	generalization	generalization	NOUN
brj-24395	33	4	ability	ability	NOUN
brj-24395	33	5	,	,	PUNCT
brj-24395	33	6	deep	deep	ADJ
brj-24395	33	7	learning	learning	NOUN
brj-24395	33	8	comes	come	VERB
brj-24395	33	9	to	to	ADP
brj-24395	33	10	mind	mind	NOUN
brj-24395	33	11	,	,	PUNCT
brj-24395	33	12	as	as	SCONJ
brj-24395	33	13	richer	rich	ADJ
brj-24395	33	14	representational	representational	ADJ
brj-24395	33	15	information	information	NOUN
brj-24395	33	16	and	and	CCONJ
brj-24395	33	17	larger	large	ADJ
brj-24395	33	18	neural	neural	ADJ
brj-24395	33	19	networks	network	NOUN
brj-24395	33	20	can	can	AUX
brj-24395	33	21	better	well	ADV
brj-24395	33	22	summarize	summarize	VERB
brj-24395	33	23	the	the	DET
brj-24395	33	24	common	common	ADJ
brj-24395	33	25	characteristics	characteristic	NOUN
brj-24395	33	26	of	of	ADP
brj-24395	33	27	high	high	ADJ
brj-24395	33	28	and	and	CCONJ
brj-24395	33	29	low	low	ADJ
brj-24395	33	30	value	value	NOUN
brj-24395	33	31	between	between	ADP
brj-24395	33	32	different	different	ADJ
brj-24395	33	33	species	specie	NOUN
brj-24395	33	34	.	.	PUNCT
brj-24395	34	1	studies	study	NOUN
brj-24395	34	2	using	use	VERB
brj-24395	34	3	microscopic	microscopic	ADJ
brj-24395	34	4	images	image	NOUN
brj-24395	34	5	have	have	AUX
brj-24395	34	6	confirmed	confirm	VERB
brj-24395	34	7	this	this	PRON
brj-24395	34	8	(	(	PUNCT
brj-24395	34	9	ma	ma	PROPN
brj-24395	34	10	,	,	PUNCT
brj-24395	34	11	kimura	kimura	NOUN
brj-24395	34	12	et	et	PROPN
brj-24395	34	13	al	al	PROPN
brj-24395	34	14	.	.	PROPN
brj-24395	34	15	2024	2024	NUM
brj-24395	34	16	)	)	PUNCT
brj-24395	34	17	.	.	PUNCT
brj-24395	35	1	most	most	ADJ
brj-24395	35	2	current	current	ADJ
brj-24395	35	3	neural	neural	ADJ
brj-24395	35	4	networks	network	NOUN
brj-24395	35	5	use	use	VERB
brj-24395	35	6	two	two	NUM
brj-24395	35	7	-	-	PUNCT
brj-24395	35	8	dimensional	dimensional	ADJ
brj-24395	35	9	data	datum	NOUN
brj-24395	35	10	,	,	PUNCT
brj-24395	35	11	requiring	require	VERB
brj-24395	35	12	two	two	NUM
brj-24395	35	13	-	-	PUNCT
brj-24395	35	14	dimensional	dimensional	ADJ
brj-24395	35	15	input	input	NOUN
brj-24395	35	16	for	for	ADP
brj-24395	35	17	better	well	ADJ
brj-24395	35	18	training	training	NOUN
brj-24395	35	19	effects	effect	NOUN
brj-24395	35	20	.	.	PUNCT
brj-24395	36	1	this	this	PRON
brj-24395	36	2	has	have	AUX
brj-24395	36	3	led	lead	VERB
brj-24395	36	4	to	to	ADP
brj-24395	36	5	the	the	DET
brj-24395	36	6	emergence	emergence	NOUN
brj-24395	36	7	of	of	ADP
brj-24395	36	8	two	two	NUM
brj-24395	36	9	-	-	PUNCT
brj-24395	36	10	dimensional	dimensional	ADJ
brj-24395	36	11	correlation	correlation	NOUN
brj-24395	36	12	spectroscopy	spectroscopy	NOUN
brj-24395	36	13	(	(	PUNCT
brj-24395	36	14	2dcos	2dcos	NUM
brj-24395	36	15	)	)	PUNCT
brj-24395	36	16	,	,	PUNCT
brj-24395	36	17	which	which	PRON
brj-24395	36	18	transforms	transform	VERB
brj-24395	36	19	spectra	spectra	NOUN
brj-24395	36	20	into	into	ADP
brj-24395	36	21	two	two	NUM
brj-24395	36	22	-	-	PUNCT
brj-24395	36	23	dimensional	dimensional	ADJ
brj-24395	36	24	structures	structure	NOUN
brj-24395	36	25	(	(	PUNCT
brj-24395	36	26	jiang	jiang	PROPN
brj-24395	36	27	and	and	CCONJ
brj-24395	36	28	rieppo	rieppo	NOUN
brj-24395	36	29	2006	2006	NUM
brj-24395	36	30	)	)	PUNCT
brj-24395	36	31	.	.	PUNCT
brj-24395	37	1	other	other	ADJ
brj-24395	37	2	twodimensional	twodimensional	ADJ
brj-24395	37	3	methods	method	NOUN
brj-24395	37	4	,	,	PUNCT
brj-24395	37	5	such	such	ADJ
brj-24395	37	6	as	as	ADP
brj-24395	37	7	gramian	gramian	ADJ
brj-24395	37	8	angular	angular	ADJ
brj-24395	37	9	field	field	NOUN
brj-24395	37	10	(	(	PUNCT
brj-24395	37	11	gadf	gadf	PROPN
brj-24395	37	12	)	)	PUNCT
brj-24395	37	13	and	and	CCONJ
brj-24395	37	14	recurrence	recurrence	NOUN
brj-24395	37	15	plots	plot	NOUN
brj-24395	37	16	(	(	PUNCT
brj-24395	37	17	rp	rp	NOUN
brj-24395	37	18	)	)	PUNCT
brj-24395	37	19	,	,	PUNCT
brj-24395	37	20	can	can	AUX
brj-24395	37	21	also	also	ADV
brj-24395	37	22	be	be	AUX
brj-24395	37	23	implemented	implement	VERB
brj-24395	37	24	(	(	PUNCT
brj-24395	37	25	pan	pan	NOUN
brj-24395	37	26	et	et	PROPN
brj-24395	37	27	al	al	PROPN
brj-24395	37	28	.	.	PROPN
brj-24395	37	29	2023	2023	NUM
brj-24395	37	30	;	;	PUNCT
brj-24395	37	31	das	das	PROPN
brj-24395	37	32	et	et	PROPN
brj-24395	37	33	al	al	PROPN
brj-24395	37	34	.	.	PROPN
brj-24395	37	35	2024	2024	NUM
brj-24395	37	36	)	)	PUNCT
brj-24395	37	37	.	.	PUNCT
brj-24395	38	1	however	however	ADV
brj-24395	38	2	,	,	PUNCT
brj-24395	38	3	these	these	DET
brj-24395	38	4	studies	study	NOUN
brj-24395	38	5	have	have	AUX
brj-24395	38	6	not	not	PART
brj-24395	38	7	deeply	deeply	ADV
brj-24395	38	8	investigated	investigate	VERB
brj-24395	38	9	the	the	DET
brj-24395	38	10	intra	intra	ADJ
brj-24395	38	11	-	-	ADJ
brj-24395	38	12	species	species	ADJ
brj-24395	38	13	differences	difference	NOUN
brj-24395	38	14	,	,	PUNCT
brj-24395	38	15	only	only	ADV
brj-24395	38	16	highlighting	highlight	VERB
brj-24395	38	17	the	the	DET
brj-24395	38	18	inter	inter	ADJ
brj-24395	38	19	-	-	ADJ
brj-24395	38	20	species	species	ADJ
brj-24395	38	21	differences	difference	NOUN
brj-24395	38	22	between	between	ADP
brj-24395	38	23	different	different	ADJ
brj-24395	38	24	wood	wood	NOUN
brj-24395	38	25	species	specie	NOUN
brj-24395	38	26	.	.	PUNCT
brj-24395	39	1	addressing	address	VERB
brj-24395	39	2	these	these	DET
brj-24395	39	3	limitations	limitation	NOUN
brj-24395	39	4	is	be	AUX
brj-24395	39	5	crucial	crucial	ADJ
brj-24395	39	6	for	for	ADP
brj-24395	39	7	developing	develop	VERB
brj-24395	39	8	more	more	ADV
brj-24395	39	9	robust	robust	ADJ
brj-24395	39	10	and	and	CCONJ
brj-24395	39	11	comprehensive	comprehensive	ADJ
brj-24395	39	12	wood	wood	NOUN
brj-24395	39	13	analysis	analysis	NOUN
brj-24395	39	14	techniques	technique	NOUN
brj-24395	39	15	.	.	PUNCT
brj-24395	40	1	the	the	DET
brj-24395	40	2	purpose	purpose	NOUN
brj-24395	40	3	of	of	ADP
brj-24395	40	4	this	this	DET
brj-24395	40	5	study	study	NOUN
brj-24395	40	6	is	be	AUX
brj-24395	40	7	to	to	PART
brj-24395	40	8	construct	construct	VERB
brj-24395	40	9	an	an	DET
brj-24395	40	10	algorithm	algorithm	NOUN
brj-24395	40	11	having	have	VERB
brj-24395	40	12	high	high	ADJ
brj-24395	40	13	generalization	generalization	NOUN
brj-24395	40	14	capability	capability	NOUN
brj-24395	40	15	,	,	PUNCT
brj-24395	40	16	which	which	PRON
brj-24395	40	17	combines	combine	VERB
brj-24395	40	18	intraspecific	intraspecific	NOUN
brj-24395	40	19	and	and	CCONJ
brj-24395	40	20	interspecific	interspecific	ADJ
brj-24395	40	21	spectral	spectral	PROPN
brj-24395	40	22	data	data	PROPN
brj-24395	40	23	characteristics	characteristic	NOUN
brj-24395	40	24	,	,	PUNCT
brj-24395	40	25	to	to	PART
brj-24395	40	26	achieve	achieve	VERB
brj-24395	40	27	the	the	DET
brj-24395	40	28	identification	identification	NOUN
brj-24395	40	29	of	of	ADP
brj-24395	40	30	high	high	ADJ
brj-24395	40	31	-	-	PUNCT
brj-24395	40	32	value	value	NOUN
brj-24395	40	33	rosewoods	rosewood	NOUN
brj-24395	40	34	and	and	CCONJ
brj-24395	40	35	non	non	NOUN
brj-24395	40	36	-	-	NOUN
brj-24395	40	37	rosewoods	rosewood	NOUN
brj-24395	40	38	.	.	PUNCT
brj-24395	41	1	the	the	DET
brj-24395	41	2	research	research	NOUN
brj-24395	41	3	utilized	utilize	VERB
brj-24395	41	4	fourier	fourier	NOUN
brj-24395	41	5	transform	transform	VERB
brj-24395	41	6	mid	mid	ADJ
brj-24395	41	7	-	-	ADJ
brj-24395	41	8	infrared	infrared	ADJ
brj-24395	41	9	spectroscopy	spectroscopy	NOUN
brj-24395	41	10	to	to	PART
brj-24395	41	11	collect	collect	VERB
brj-24395	41	12	data	datum	NOUN
brj-24395	41	13	from	from	ADP
brj-24395	41	14	31	31	NUM
brj-24395	41	15	wood	wood	NOUN
brj-24395	41	16	species	specie	NOUN
brj-24395	41	17	,	,	PUNCT
brj-24395	41	18	which	which	PRON
brj-24395	41	19	were	be	AUX
brj-24395	41	20	then	then	ADV
brj-24395	41	21	processed	process	VERB
brj-24395	41	22	with	with	ADP
brj-24395	41	23	multivariate	multivariate	NOUN
brj-24395	41	24	scattering	scatter	VERB
brj-24395	41	25	correction	correction	NOUN
brj-24395	41	26	(	(	PUNCT
brj-24395	41	27	msc	msc	PROPN
brj-24395	41	28	)	)	PUNCT
brj-24395	41	29	.	.	PUNCT
brj-24395	42	1	pearson	pearson	PROPN
brj-24395	42	2	correlation	correlation	PROPN
brj-24395	42	3	coefficient	coefficient	NOUN
brj-24395	42	4	(	(	PUNCT
brj-24395	42	5	matsumoto	matsumoto	NOUN
brj-24395	42	6	et	et	PROPN
brj-24395	42	7	al	al	PROPN
brj-24395	42	8	.	.	PROPN
brj-24395	42	9	2016	2016	NUM
brj-24395	42	10	)	)	PUNCT
brj-24395	42	11	matrix	matrix	NOUN
brj-24395	42	12	calculations	calculation	NOUN
brj-24395	42	13	combined	combine	VERB
brj-24395	42	14	with	with	ADP
brj-24395	42	15	hierarchical	hierarchical	ADJ
brj-24395	42	16	clustering	clustering	ADJ
brj-24395	42	17	analysis	analysis	NOUN
brj-24395	42	18	(	(	PUNCT
brj-24395	42	19	saxena	saxena	PROPN
brj-24395	42	20	et	et	PROPN
brj-24395	42	21	al	al	PROPN
brj-24395	42	22	.	.	PROPN
brj-24395	42	23	2017	2017	NUM
brj-24395	42	24	)	)	PUNCT
brj-24395	42	25	were	be	AUX
brj-24395	42	26	performed	perform	VERB
brj-24395	42	27	on	on	ADP
brj-24395	42	28	the	the	DET
brj-24395	42	29	processed	process	VERB
brj-24395	42	30	data	datum	NOUN
brj-24395	42	31	to	to	PART
brj-24395	42	32	identify	identify	VERB
brj-24395	42	33	the	the	DET
brj-24395	42	34	characteristic	characteristic	ADJ
brj-24395	42	35	positions	position	NOUN
brj-24395	42	36	of	of	ADP
brj-24395	42	37	intraspecific	intraspecific	NOUN
brj-24395	42	38	and	and	CCONJ
brj-24395	42	39	interspecific	interspecific	NOUN
brj-24395	42	40	differences	difference	NOUN
brj-24395	42	41	.	.	PUNCT
brj-24395	43	1	subsequently	subsequently	ADV
brj-24395	43	2	,	,	PUNCT
brj-24395	43	3	an	an	DET
brj-24395	43	4	attempt	attempt	NOUN
brj-24395	43	5	was	be	AUX
brj-24395	43	6	made	make	VERB
brj-24395	43	7	to	to	PART
brj-24395	43	8	convert	convert	VERB
brj-24395	43	9	the	the	DET
brj-24395	43	10	data	datum	NOUN
brj-24395	43	11	into	into	ADP
brj-24395	43	12	state	state	NOUN
brj-24395	43	13	probability	probability	NOUN
brj-24395	43	14	maps	map	NOUN
brj-24395	43	15	using	use	VERB
brj-24395	43	16	markov	markov	NOUN
brj-24395	43	17	transition	transition	NOUN
brj-24395	43	18	fields	field	NOUN
brj-24395	43	19	(	(	PUNCT
brj-24395	43	20	mtf	mtf	NOUN
brj-24395	43	21	)	)	PUNCT
brj-24395	44	1	(	(	PUNCT
brj-24395	44	2	zhao	zhao	PROPN
brj-24395	44	3	et	et	PROPN
brj-24395	44	4	al	al	PROPN
brj-24395	44	5	.	.	PROPN
brj-24395	44	6	2022	2022	NUM
brj-24395	44	7	)	)	PUNCT
brj-24395	44	8	,	,	PUNCT
brj-24395	44	9	which	which	PRON
brj-24395	44	10	served	serve	VERB
brj-24395	44	11	as	as	ADP
brj-24395	44	12	input	input	NOUN
brj-24395	44	13	data	datum	NOUN
brj-24395	44	14	for	for	ADP
brj-24395	44	15	the	the	DET
brj-24395	44	16	optional	optional	ADJ
brj-24395	44	17	convolutional	convolutional	ADJ
brj-24395	44	18	neural	neural	ADJ
brj-24395	44	19	network	network	NOUN
brj-24395	44	20	(	(	PUNCT
brj-24395	44	21	sknet	sknet	NOUN
brj-24395	44	22	)	)	PUNCT
brj-24395	44	23	model	model	NOUN
brj-24395	44	24	training	training	NOUN
brj-24395	44	25	(	(	PUNCT
brj-24395	44	26	li	li	PROPN
brj-24395	44	27	et	et	PROPN
brj-24395	44	28	al	al	PROPN
brj-24395	44	29	.	.	PROPN
brj-24395	44	30	2019	2019	NUM
brj-24395	44	31	)	)	PUNCT
brj-24395	44	32	.	.	PUNCT
brj-24395	45	1	the	the	DET
brj-24395	45	2	classification	classification	NOUN
brj-24395	45	3	results	result	NOUN
brj-24395	45	4	were	be	AUX
brj-24395	45	5	compared	compare	VERB
brj-24395	45	6	with	with	ADP
brj-24395	45	7	other	other	ADJ
brj-24395	45	8	algorithms	algorithm	NOUN
brj-24395	45	9	,	,	PUNCT
brj-24395	45	10	verifying	verify	VERB
brj-24395	45	11	the	the	DET
brj-24395	45	12	effectiveness	effectiveness	NOUN
brj-24395	45	13	of	of	ADP
brj-24395	45	14	the	the	DET
brj-24395	45	15	mtf	mtf	ADJ
brj-24395	45	16	-	-	PUNCT
brj-24395	45	17	sknet	sknet	NOUN
brj-24395	45	18	algorithm	algorithm	NOUN
brj-24395	45	19	and	and	CCONJ
brj-24395	45	20	demonstrating	demonstrate	VERB
brj-24395	45	21	its	its	PRON
brj-24395	45	22	universality	universality	NOUN
brj-24395	45	23	and	and	CCONJ
brj-24395	45	24	scalability	scalability	NOUN
brj-24395	45	25	in	in	ADP
brj-24395	45	26	the	the	DET
brj-24395	45	27	qualitative	qualitative	ADJ
brj-24395	45	28	analysis	analysis	NOUN
brj-24395	45	29	of	of	ADP
brj-24395	45	30	wood	wood	NOUN
brj-24395	45	31	mid	mid	ADJ
brj-24395	45	32	-	-	ADJ
brj-24395	45	33	infrared	infrared	ADJ
brj-24395	45	34	spectra	spectra	NOUN
brj-24395	45	35	.	.	PROPN
brj-24395	45	36	peer	peer	NOUN
brj-24395	45	37	-	-	PUNCT
brj-24395	45	38	reviewed	review	VERB
brj-24395	45	39	article	article	NOUN
brj-24395	45	40	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24395	45	41	xin	xin	PROPN
brj-24395	45	42	et	et	PROPN
brj-24395	45	43	al	al	PROPN
brj-24395	45	44	.	.	PROPN
brj-24395	46	1	(	(	PUNCT
brj-24395	46	2	2025	2025	NUM
brj-24395	46	3	)	)	PUNCT
brj-24395	46	4	.	.	PUNCT
brj-24395	47	1	“	"	PUNCT
brj-24395	47	2	wood	wood	NOUN
brj-24395	47	3	species	specie	NOUN
brj-24395	47	4	i	i	NOUN
brj-24395	47	5	d	d	PROPN
brj-24395	47	6	by	by	ADP
brj-24395	47	7	infrared	infrared	NOUN
brj-24395	47	8	,	,	PUNCT
brj-24395	47	9	”	"	PUNCT
brj-24395	47	10	bioresources	bioresource	NOUN
brj-24395	47	11	20(2	20(2	NUM
brj-24395	47	12	)	)	PUNCT
brj-24395	47	13	,	,	PUNCT
brj-24395	47	14	4464	4464	NUM
brj-24395	47	15	-	-	SYM
brj-24395	47	16	4478	4478	NUM
brj-24395	47	17	.	.	PUNCT
brj-24395	48	1	4466	4466	NUM
brj-24395	49	1	the	the	DET
brj-24395	49	2	innovations	innovation	NOUN
brj-24395	49	3	of	of	ADP
brj-24395	49	4	this	this	DET
brj-24395	49	5	study	study	NOUN
brj-24395	49	6	are	be	AUX
brj-24395	49	7	twofold	twofold	ADJ
brj-24395	49	8	.	.	PUNCT
brj-24395	50	1	the	the	DET
brj-24395	50	2	first	first	ADJ
brj-24395	50	3	lies	lie	VERB
brj-24395	50	4	in	in	ADP
brj-24395	50	5	the	the	DET
brj-24395	50	6	comparison	comparison	NOUN
brj-24395	50	7	of	of	ADP
brj-24395	50	8	the	the	DET
brj-24395	50	9	intraspecific	intraspecific	NOUN
brj-24395	50	10	and	and	CCONJ
brj-24395	50	11	interspecific	interspecific	ADJ
brj-24395	50	12	difference	difference	NOUN
brj-24395	50	13	characteristics	characteristic	NOUN
brj-24395	50	14	of	of	ADP
brj-24395	50	15	wood	wood	NOUN
brj-24395	50	16	using	use	VERB
brj-24395	50	17	pearson	pearson	PROPN
brj-24395	50	18	correlation	correlation	NOUN
brj-24395	50	19	coefficient	coefficient	NOUN
brj-24395	50	20	and	and	CCONJ
brj-24395	50	21	hierarchical	hierarchical	ADJ
brj-24395	50	22	clustering	clustering	ADJ
brj-24395	50	23	analysis	analysis	NOUN
brj-24395	50	24	before	before	ADP
brj-24395	50	25	developing	develop	VERB
brj-24395	50	26	the	the	DET
brj-24395	50	27	algorithm	algorithm	NOUN
brj-24395	50	28	,	,	PUNCT
brj-24395	50	29	whereas	whereas	SCONJ
brj-24395	50	30	other	other	ADJ
brj-24395	50	31	papers	paper	NOUN
brj-24395	50	32	only	only	ADV
brj-24395	50	33	discussed	discuss	VERB
brj-24395	50	34	the	the	DET
brj-24395	50	35	interspecific	interspecific	ADJ
brj-24395	50	36	differences	difference	NOUN
brj-24395	50	37	without	without	ADP
brj-24395	50	38	comparing	compare	VERB
brj-24395	50	39	the	the	DET
brj-24395	50	40	midinfrared	midinfrared	ADJ
brj-24395	50	41	spectral	spectral	ADJ
brj-24395	50	42	characteristic	characteristic	ADJ
brj-24395	50	43	differences	difference	NOUN
brj-24395	50	44	within	within	ADP
brj-24395	50	45	the	the	DET
brj-24395	50	46	same	same	ADJ
brj-24395	50	47	wood	wood	NOUN
brj-24395	50	48	species	specie	NOUN
brj-24395	50	49	.	.	PUNCT
brj-24395	51	1	the	the	DET
brj-24395	51	2	second	second	ADJ
brj-24395	51	3	innovation	innovation	NOUN
brj-24395	51	4	is	be	AUX
brj-24395	51	5	the	the	DET
brj-24395	51	6	development	development	NOUN
brj-24395	51	7	of	of	ADP
brj-24395	51	8	an	an	DET
brj-24395	51	9	algorithm	algorithm	NOUN
brj-24395	51	10	based	base	VERB
brj-24395	51	11	on	on	ADP
brj-24395	51	12	these	these	DET
brj-24395	51	13	characteristics	characteristic	NOUN
brj-24395	51	14	,	,	PUNCT
brj-24395	51	15	which	which	PRON
brj-24395	51	16	can	can	AUX
brj-24395	51	17	simultaneously	simultaneously	ADV
brj-24395	51	18	handle	handle	VERB
brj-24395	51	19	the	the	DET
brj-24395	51	20	distinction	distinction	NOUN
brj-24395	51	21	between	between	ADP
brj-24395	51	22	small	small	ADJ
brj-24395	51	23	tree	tree	NOUN
brj-24395	51	24	species	specie	NOUN
brj-24395	51	25	and	and	CCONJ
brj-24395	51	26	the	the	DET
brj-24395	51	27	broader	broad	ADJ
brj-24395	51	28	classification	classification	NOUN
brj-24395	51	29	of	of	ADP
brj-24395	51	30	rosewoods	rosewood	NOUN
brj-24395	51	31	and	and	CCONJ
brj-24395	51	32	non	non	NOUN
brj-24395	51	33	-	-	ADJ
brj-24395	51	34	rosewoods	rosewood	NOUN
brj-24395	51	35	.	.	PUNCT
brj-24395	52	1	other	other	ADJ
brj-24395	52	2	papers	paper	NOUN
brj-24395	52	3	aim	aim	VERB
brj-24395	52	4	at	at	ADP
brj-24395	52	5	distinguishing	distinguish	VERB
brj-24395	52	6	small	small	ADJ
brj-24395	52	7	tree	tree	NOUN
brj-24395	52	8	species	specie	NOUN
brj-24395	52	9	and	and	CCONJ
brj-24395	52	10	do	do	AUX
brj-24395	52	11	not	not	PART
brj-24395	52	12	focus	focus	VERB
brj-24395	52	13	on	on	ADP
brj-24395	52	14	the	the	DET
brj-24395	52	15	higher	high	ADJ
brj-24395	52	16	-	-	PUNCT
brj-24395	52	17	level	level	NOUN
brj-24395	52	18	categorization	categorization	NOUN
brj-24395	52	19	of	of	ADP
brj-24395	52	20	wood	wood	NOUN
brj-24395	52	21	value	value	NOUN
brj-24395	52	22	,	,	PUNCT
brj-24395	52	23	such	such	ADJ
brj-24395	52	24	as	as	ADP
brj-24395	52	25	whether	whether	SCONJ
brj-24395	52	26	or	or	CCONJ
brj-24395	52	27	not	not	PART
brj-24395	52	28	it	it	PRON
brj-24395	52	29	belongs	belong	VERB
brj-24395	52	30	to	to	ADP
brj-24395	52	31	the	the	DET
brj-24395	52	32	rosewood	rosewood	NOUN
brj-24395	52	33	category	category	NOUN
brj-24395	52	34	.	.	PUNCT
brj-24395	53	1	experimental	experimental	ADJ
brj-24395	53	2	samples	sample	NOUN
brj-24395	53	3	a	a	DET
brj-24395	53	4	total	total	NOUN
brj-24395	53	5	of	of	ADP
brj-24395	53	6	31	31	NUM
brj-24395	53	7	wood	wood	NOUN
brj-24395	53	8	species	specie	NOUN
brj-24395	53	9	were	be	AUX
brj-24395	53	10	used	use	VERB
brj-24395	53	11	in	in	ADP
brj-24395	53	12	the	the	DET
brj-24395	53	13	study	study	NOUN
brj-24395	53	14	,	,	PUNCT
brj-24395	53	15	including	include	VERB
brj-24395	53	16	19	19	NUM
brj-24395	53	17	national	national	ADJ
brj-24395	53	18	standard	standard	ADJ
brj-24395	53	19	rosewood	rosewood	NOUN
brj-24395	53	20	species	specie	NOUN
brj-24395	53	21	and	and	CCONJ
brj-24395	53	22	12	12	NUM
brj-24395	53	23	non	non	ADJ
brj-24395	53	24	-	-	ADJ
brj-24395	53	25	rosewood	rosewood	ADJ
brj-24395	53	26	species	specie	NOUN
brj-24395	53	27	(	(	PUNCT
brj-24395	53	28	table	table	NOUN
brj-24395	53	29	1	1	NUM
brj-24395	53	30	)	)	PUNCT
brj-24395	53	31	.	.	PUNCT
brj-24395	54	1	each	each	DET
brj-24395	54	2	species	specie	NOUN
brj-24395	54	3	had	have	VERB
brj-24395	54	4	two	two	NUM
brj-24395	54	5	samples	sample	NOUN
brj-24395	54	6	with	with	ADP
brj-24395	54	7	dimensions	dimension	NOUN
brj-24395	54	8	of	of	ADP
brj-24395	54	9	approximately	approximately	ADV
brj-24395	54	10	60	60	NUM
brj-24395	54	11	mm	mm	NOUN
brj-24395	54	12	x	x	SYM
brj-24395	54	13	40	40	NUM
brj-24395	54	14	mm	mm	NOUN
brj-24395	54	15	x	x	PROPN
brj-24395	54	16	10	10	NUM
brj-24395	54	17	mm	mm	NOUN
brj-24395	54	18	,	,	PUNCT
brj-24395	54	19	as	as	SCONJ
brj-24395	54	20	shown	show	VERB
brj-24395	54	21	in	in	ADP
brj-24395	54	22	fig	fig	NOUN
brj-24395	54	23	.	.	PUNCT
brj-24395	55	1	1a	1a	PROPN
brj-24395	55	2	.	.	PUNCT
brj-24395	56	1	during	during	ADP
brj-24395	56	2	testing	testing	NOUN
brj-24395	56	3	,	,	PUNCT
brj-24395	56	4	each	each	DET
brj-24395	56	5	wood	wood	NOUN
brj-24395	56	6	sample	sample	NOUN
brj-24395	56	7	was	be	AUX
brj-24395	56	8	divided	divide	VERB
brj-24395	56	9	into	into	ADP
brj-24395	56	10	four	four	NUM
brj-24395	56	11	regions	region	NOUN
brj-24395	56	12	with	with	ADP
brj-24395	56	13	a	a	DET
brj-24395	56	14	cross	cross	NOUN
brj-24395	56	15	shape	shape	NOUN
brj-24395	56	16	on	on	ADP
brj-24395	56	17	both	both	CCONJ
brj-24395	56	18	the	the	DET
brj-24395	56	19	front	front	ADJ
brj-24395	56	20	and	and	CCONJ
brj-24395	56	21	back	back	ADJ
brj-24395	56	22	sides	side	NOUN
brj-24395	56	23	,	,	PUNCT
brj-24395	56	24	and	and	CCONJ
brj-24395	56	25	eight	eight	NUM
brj-24395	56	26	data	datum	NOUN
brj-24395	56	27	points	point	NOUN
brj-24395	56	28	were	be	AUX
brj-24395	56	29	collected	collect	VERB
brj-24395	56	30	from	from	ADP
brj-24395	56	31	the	the	DET
brj-24395	56	32	center	center	NOUN
brj-24395	56	33	of	of	ADP
brj-24395	56	34	each	each	DET
brj-24395	56	35	region	region	NOUN
brj-24395	56	36	,	,	PUNCT
brj-24395	56	37	resulting	result	VERB
brj-24395	56	38	in	in	ADP
brj-24395	56	39	a	a	DET
brj-24395	56	40	total	total	NOUN
brj-24395	56	41	of	of	ADP
brj-24395	56	42	480	480	NUM
brj-24395	56	43	data	datum	NOUN
brj-24395	56	44	points	point	NOUN
brj-24395	56	45	.	.	PUNCT
brj-24395	57	1	the	the	DET
brj-24395	57	2	samples	sample	NOUN
brj-24395	57	3	were	be	AUX
brj-24395	57	4	provided	provide	VERB
brj-24395	57	5	by	by	ADP
brj-24395	57	6	yushan	yushan	PROPN
brj-24395	57	7	town	town	PROPN
brj-24395	57	8	xieqiao	xieqiao	PROPN
brj-24395	57	9	huo	huo	PROPN
brj-24395	57	10	-	-	PUNCT
brj-24395	57	11	men	man	NOUN
brj-24395	57	12	rosewood	rosewood	NOUN
brj-24395	57	13	furniture	furniture	NOUN
brj-24395	57	14	factory	factory	NOUN
brj-24395	57	15	(	(	PUNCT
brj-24395	57	16	changshu	changshu	NOUN
brj-24395	57	17	city	city	PROPN
brj-24395	57	18	,	,	PUNCT
brj-24395	57	19	jiangsu	jiangsu	PROPN
brj-24395	57	20	province	province	PROPN
brj-24395	57	21	,	,	PUNCT
brj-24395	57	22	china	china	PROPN
brj-24395	57	23	)	)	PUNCT
brj-24395	57	24	and	and	CCONJ
brj-24395	57	25	they	they	PRON
brj-24395	57	26	followed	follow	VERB
brj-24395	57	27	industry	industry	NOUN
brj-24395	57	28	-	-	PUNCT
brj-24395	57	29	standard	standard	ADJ
brj-24395	57	30	protocols	protocol	NOUN
brj-24395	57	31	(	(	PUNCT
brj-24395	57	32	air	air	NOUN
brj-24395	57	33	-	-	PUNCT
brj-24395	57	34	dried	dry	VERB
brj-24395	57	35	,	,	PUNCT
brj-24395	57	36	sanded	sand	VERB
brj-24395	57	37	to	to	ADP
brj-24395	57	38	400	400	NUM
brj-24395	57	39	-	-	PUNCT
brj-24395	57	40	grit	grit	NOUN
brj-24395	57	41	)	)	PUNCT
brj-24395	57	42	.	.	PUNCT
brj-24395	58	1	fig	fig	NOUN
brj-24395	58	2	.	.	PUNCT
brj-24395	59	1	1	1	X
brj-24395	59	2	.	.	X
brj-24395	59	3	experimental	experimental	ADJ
brj-24395	59	4	process	process	NOUN
brj-24395	59	5	diagrams	diagram	NOUN
brj-24395	59	6	:	:	PUNCT
brj-24395	59	7	(	(	PUNCT
brj-24395	59	8	a	a	X
brj-24395	59	9	)	)	PUNCT
brj-24395	59	10	sample	sample	NOUN
brj-24395	59	11	,	,	PUNCT
brj-24395	59	12	(	(	PUNCT
brj-24395	59	13	b	b	NOUN
brj-24395	59	14	)	)	PUNCT
brj-24395	59	15	apparatus	apparatus	NOUN
brj-24395	59	16	,	,	PUNCT
brj-24395	59	17	(	(	PUNCT
brj-24395	59	18	c	c	X
brj-24395	59	19	)	)	PUNCT
brj-24395	59	20	spectral	spectral	ADJ
brj-24395	59	21	data	datum	NOUN
brj-24395	59	22	,	,	PUNCT
brj-24395	59	23	(	(	PUNCT
brj-24395	59	24	d	d	X
brj-24395	59	25	)	)	PUNCT
brj-24395	59	26	algorithm	algorithm	NOUN
brj-24395	59	27	structure	structure	NOUN
brj-24395	59	28	peer	peer	NOUN
brj-24395	59	29	-	-	PUNCT
brj-24395	59	30	reviewed	review	VERB
brj-24395	59	31	article	article	NOUN
brj-24395	59	32	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24395	59	33	xin	xin	PROPN
brj-24395	59	34	et	et	PROPN
brj-24395	59	35	al	al	PROPN
brj-24395	59	36	.	.	PROPN
brj-24395	60	1	(	(	PUNCT
brj-24395	60	2	2025	2025	NUM
brj-24395	60	3	)	)	PUNCT
brj-24395	60	4	.	.	PUNCT
brj-24395	61	1	“	"	PUNCT
brj-24395	61	2	wood	wood	NOUN
brj-24395	61	3	species	specie	NOUN
brj-24395	61	4	i	i	NOUN
brj-24395	61	5	d	d	PROPN
brj-24395	61	6	by	by	ADP
brj-24395	61	7	infrared	infrared	NOUN
brj-24395	61	8	,	,	PUNCT
brj-24395	61	9	”	"	PUNCT
brj-24395	61	10	bioresources	bioresource	NOUN
brj-24395	61	11	20(2	20(2	NUM
brj-24395	61	12	)	)	PUNCT
brj-24395	61	13	,	,	PUNCT
brj-24395	61	14	4464	4464	NUM
brj-24395	61	15	-	-	SYM
brj-24395	61	16	4478	4478	NUM
brj-24395	61	17	.	.	PUNCT
brj-24395	62	1	4467	4467	NUM
brj-24395	62	2	table	table	NOUN
brj-24395	62	3	1	1	NUM
brj-24395	62	4	.	.	PUNCT
brj-24395	62	5	sample	sample	NOUN
brj-24395	62	6	list	list	NOUN
brj-24395	62	7	(	(	PUNCT
brj-24395	62	8	species	specie	NOUN
brj-24395	62	9	of	of	ADP
brj-24395	62	10	rosewood	rosewood	NOUN
brj-24395	62	11	;	;	PUNCT
brj-24395	62	12	gb	gb	PROPN
brj-24395	62	13	/	/	SYM
brj-24395	62	14	t	t	NOUN
brj-24395	62	15	18107	18107	NUM
brj-24395	62	16	2017	2017	NUM
brj-24395	62	17	)	)	PUNCT
brj-24395	62	18	species/	species/	NUM
brj-24395	62	19	category	category	NOUN
brj-24395	62	20	rosewood	rosewood	NOUN
brj-24395	62	21	(	(	PUNCT
brj-24395	62	22	latin	latin	ADJ
brj-24395	62	23	name	name	NOUN
brj-24395	62	24	)	)	PUNCT
brj-24395	62	25	non	non	ADJ
brj-24395	62	26	-	-	ADJ
brj-24395	62	27	rosewood	rosewood	ADJ
brj-24395	62	28	dalbergia	dalbergia	NOUN
brj-24395	62	29	melanoxylon	melanoxylon	PROPN
brj-24395	62	30	black	black	ADJ
brj-24395	62	31	walnut	walnut	NOUN
brj-24395	62	32	wood	wood	PROPN
brj-24395	62	33	dalbergia	dalbergia	PROPN
brj-24395	62	34	granadillo	granadillo	PROPN
brj-24395	62	35	north	north	PROPN
brj-24395	62	36	american	american	PROPN
brj-24395	62	37	black	black	ADJ
brj-24395	62	38	walnut	walnut	NOUN
brj-24395	62	39	wood	wood	NOUN
brj-24395	62	40	diospyros	diospyro	VERB
brj-24395	62	41	ebenum	ebenum	ADJ
brj-24395	62	42	polished	polished	ADJ
brj-24395	62	43	north	north	ADJ
brj-24395	62	44	american	american	ADJ
brj-24395	62	45	black	black	ADJ
brj-24395	62	46	walnut	walnut	NOUN
brj-24395	62	47	wood	wood	NOUN
brj-24395	62	48	dalbergia	dalbergia	NOUN
brj-24395	62	49	stevensonii	stevensonii	VERB
brj-24395	62	50	polished	polish	VERB
brj-24395	62	51	northern	northern	ADJ
brj-24395	62	52	walnut	walnut	NOUN
brj-24395	62	53	wood	wood	NOUN
brj-24395	62	54	dalbergia	dalbergia	NOUN
brj-24395	62	55	cultrata	cultrata	VERB
brj-24395	62	56	northern	northern	ADJ
brj-24395	62	57	walnut	walnut	NOUN
brj-24395	62	58	wood	wood	NOUN
brj-24395	62	59	pterocarpus	pterocarpus	PROPN
brj-24395	62	60	erinaceus	erinaceus	PROPN
brj-24395	62	61	southern	southern	PROPN
brj-24395	62	62	walnut	walnut	PROPN
brj-24395	62	63	dalbergia	dalbergia	PROPN
brj-24395	62	64	louvelii	louvelii	VERB
brj-24395	62	65	polished	polish	VERB
brj-24395	62	66	southern	southern	ADJ
brj-24395	62	67	walnut	walnut	NOUN
brj-24395	62	68	pterocarpus	pterocarpus	PROPN
brj-24395	62	69	indicus	indicus	NOUN
brj-24395	62	70	wood	wood	NOUN
brj-24395	62	71	bean	bean	NOUN
brj-24395	62	72	(	(	PUNCT
brj-24395	62	73	pahudia	pahudia	PROPN
brj-24395	62	74	javanica	javanica	PROPN
brj-24395	62	75	)	)	PUNCT
brj-24395	62	76	diospyros	diospyro	NOUN
brj-24395	62	77	crassiflora	crassiflora	VERB
brj-24395	62	78	european	european	ADJ
brj-24395	62	79	ash	ash	NOUN
brj-24395	62	80	(	(	PUNCT
brj-24395	62	81	fraxinus	fraxinus	NOUN
brj-24395	62	82	excelsior	excelsior	PROPN
brj-24395	62	83	)	)	PUNCT
brj-24395	62	84	dalbergia	dalbergia	NOUN
brj-24395	62	85	cearensis	cearensis	NOUN
brj-24395	62	86	polished	polish	VERB
brj-24395	62	87	european	european	ADJ
brj-24395	62	88	ash	ash	NOUN
brj-24395	62	89	pterocarpus	pterocarpus	NOUN
brj-24395	62	90	dalbergioides	dalbergioide	VERB
brj-24395	62	91	walnut	walnut	NOUN
brj-24395	62	92	-	-	PUNCT
brj-24395	62	93	colored	color	VERB
brj-24395	62	94	oak	oak	NOUN
brj-24395	62	95	dalbergia	dalbergia	NOUN
brj-24395	62	96	bariensis	bariensis	NOUN
brj-24395	62	97	faded	fade	VERB
brj-24395	62	98	walnut	walnut	NOUN
brj-24395	62	99	-	-	PUNCT
brj-24395	62	100	colored	color	VERB
brj-24395	62	101	oak	oak	NOUN
brj-24395	62	102	diospyros	diospyro	NOUN
brj-24395	62	103	pilosanthera	pilosanthera	NOUN
brj-24395	62	104	diospyros	diospyro	NOUN
brj-24395	62	105	celebica	celebica	VERB
brj-24395	62	106	diospyros	diospyro	NOUN
brj-24395	62	107	philippensis	philippensis	VERB
brj-24395	62	108	cassia	cassia	NOUN
brj-24395	62	109	siamea	siamea	PROPN
brj-24395	62	110	dalbergia	dalbergia	PROPN
brj-24395	62	111	latifolia	latifolia	PROPN
brj-24395	62	112	millettia	millettia	PROPN
brj-24395	62	113	laurentii	laurentii	PROPN
brj-24395	62	114	millettia	millettia	PROPN
brj-24395	62	115	leucantha	leucantha	VERB
brj-24395	62	116	total	total	ADJ
brj-24395	62	117	number	number	NOUN
brj-24395	62	118	19	19	NUM
brj-24395	62	119	12	12	NUM
brj-24395	62	120	equipment	equipment	NOUN
brj-24395	62	121	a	a	DET
brj-24395	62	122	fourier	fourier	NOUN
brj-24395	62	123	transform	transform	NOUN
brj-24395	62	124	infrared	infrared	ADJ
brj-24395	62	125	(	(	PUNCT
brj-24395	62	126	ftir	ftir	NOUN
brj-24395	62	127	)	)	PUNCT
brj-24395	62	128	spectrometer	spectrometer	NOUN
brj-24395	62	129	(	(	PUNCT
brj-24395	62	130	model	model	NOUN
brj-24395	62	131	mb3000	mb3000	PROPN
brj-24395	62	132	,	,	PUNCT
brj-24395	62	133	abb	abb	PROPN
brj-24395	62	134	,	,	PUNCT
brj-24395	62	135	zurich	zurich	PROPN
brj-24395	62	136	,	,	PUNCT
brj-24395	62	137	switzerland	switzerland	PROPN
brj-24395	62	138	)	)	PUNCT
brj-24395	62	139	was	be	AUX
brj-24395	62	140	used	use	VERB
brj-24395	62	141	for	for	ADP
brj-24395	62	142	data	data	NOUN
brj-24395	62	143	acquisition	acquisition	NOUN
brj-24395	62	144	.	.	PUNCT
brj-24395	63	1	the	the	DET
brj-24395	63	2	instrument	instrument	NOUN
brj-24395	63	3	was	be	AUX
brj-24395	63	4	equipped	equip	VERB
brj-24395	63	5	with	with	ADP
brj-24395	63	6	a	a	DET
brj-24395	63	7	laboratorybuilt	laboratorybuilt	ADJ
brj-24395	63	8	internal	internal	ADJ
brj-24395	63	9	gold	gold	NOUN
brj-24395	63	10	-	-	PUNCT
brj-24395	63	11	coated	coat	VERB
brj-24395	63	12	integrating	integrating	NOUN
brj-24395	63	13	sphere	sphere	NOUN
brj-24395	63	14	for	for	ADP
brj-24395	63	15	uniform	uniform	ADJ
brj-24395	63	16	illumination	illumination	NOUN
brj-24395	63	17	and	and	CCONJ
brj-24395	63	18	scattered	scatter	VERB
brj-24395	63	19	light	light	ADJ
brj-24395	63	20	collection	collection	NOUN
brj-24395	63	21	,	,	PUNCT
brj-24395	63	22	as	as	ADV
brj-24395	63	23	well	well	ADV
brj-24395	63	24	as	as	ADP
brj-24395	63	25	a	a	DET
brj-24395	63	26	gold	gold	NOUN
brj-24395	63	27	-	-	PUNCT
brj-24395	63	28	coated	coat	VERB
brj-24395	63	29	reflector	reflector	NOUN
brj-24395	63	30	plate	plate	NOUN
brj-24395	63	31	used	use	VERB
brj-24395	63	32	as	as	ADP
brj-24395	63	33	a	a	DET
brj-24395	63	34	reference	reference	NOUN
brj-24395	63	35	material	material	NOUN
brj-24395	63	36	for	for	ADP
brj-24395	63	37	calibrating	calibrate	VERB
brj-24395	63	38	the	the	DET
brj-24395	63	39	infrared	infrared	ADJ
brj-24395	63	40	light	light	PROPN
brj-24395	63	41	source	source	NOUN
brj-24395	63	42	.	.	PUNCT
brj-24395	64	1	the	the	DET
brj-24395	64	2	system	system	NOUN
brj-24395	64	3	is	be	AUX
brj-24395	64	4	shown	show	VERB
brj-24395	64	5	in	in	ADP
brj-24395	64	6	fig	fig	NOUN
brj-24395	64	7	.	.	PUNCT
brj-24395	65	1	1b	1b	NUM
brj-24395	65	2	.	.	PUNCT
brj-24395	66	1	all	all	DET
brj-24395	66	2	programs	program	NOUN
brj-24395	66	3	were	be	AUX
brj-24395	66	4	run	run	VERB
brj-24395	66	5	on	on	ADP
brj-24395	66	6	a	a	DET
brj-24395	66	7	personal	personal	ADJ
brj-24395	66	8	computer	computer	NOUN
brj-24395	66	9	with	with	ADP
brj-24395	66	10	the	the	DET
brj-24395	66	11	following	follow	VERB
brj-24395	66	12	specifications	specification	NOUN
brj-24395	66	13	:	:	PUNCT
brj-24395	66	14	gtx	gtx	ADJ
brj-24395	66	15	1080	1080	NUM
brj-24395	66	16	ti	ti	NOUN
brj-24395	66	17	graphics	graphic	NOUN
brj-24395	66	18	card	card	NOUN
brj-24395	66	19	,	,	PUNCT
brj-24395	66	20	r5	r5	PROPN
brj-24395	66	21	5600x	5600x	NUM
brj-24395	66	22	cpu	cpu	NOUN
brj-24395	66	23	,	,	PUNCT
brj-24395	66	24	32	32	NUM
brj-24395	66	25	gb	gb	NOUN
brj-24395	66	26	ram	ram	NOUN
brj-24395	66	27	.	.	PUNCT
brj-24395	67	1	software	software	NOUN
brj-24395	67	2	horizon	horizon	PROPN
brj-24395	67	3	-	-	PUNCT
brj-24395	67	4	mb	mb	PROPN
brj-24395	67	5	(	(	PUNCT
brj-24395	67	6	zurich	zurich	PROPN
brj-24395	67	7	,	,	PUNCT
brj-24395	67	8	switzerland	switzerland	PROPN
brj-24395	67	9	)	)	PUNCT
brj-24395	67	10	was	be	AUX
brj-24395	67	11	used	use	VERB
brj-24395	67	12	to	to	PART
brj-24395	67	13	collect	collect	VERB
brj-24395	67	14	all	all	DET
brj-24395	67	15	the	the	DET
brj-24395	67	16	data	datum	NOUN
brj-24395	67	17	from	from	ADP
brj-24395	67	18	ftir	ftir	PROPN
brj-24395	67	19	.	.	PUNCT
brj-24395	68	1	the	the	DET
brj-24395	68	2	spectral	spectral	ADJ
brj-24395	68	3	data	datum	NOUN
brj-24395	68	4	were	be	AUX
brj-24395	68	5	collected	collect	VERB
brj-24395	68	6	within	within	ADP
brj-24395	68	7	the	the	DET
brj-24395	68	8	range	range	NOUN
brj-24395	68	9	of	of	ADP
brj-24395	68	10	460	460	NUM
brj-24395	68	11	to	to	PART
brj-24395	68	12	4000	4000	NUM
brj-24395	68	13	cm-1	cm-1	NOUN
brj-24395	68	14	,	,	PUNCT
brj-24395	68	15	with	with	ADP
brj-24395	68	16	a	a	DET
brj-24395	68	17	resolution	resolution	NOUN
brj-24395	68	18	of	of	ADP
brj-24395	68	19	16	16	NUM
brj-24395	68	20	cm-1	cm-1	NOUN
brj-24395	68	21	,	,	PUNCT
brj-24395	68	22	64	64	NUM
brj-24395	68	23	scans	scan	NOUN
brj-24395	68	24	,	,	PUNCT
brj-24395	68	25	and	and	CCONJ
brj-24395	68	26	an	an	DET
brj-24395	68	27	exposure	exposure	NOUN
brj-24395	68	28	time	time	NOUN
brj-24395	68	29	of	of	ADP
brj-24395	68	30	10	10	NUM
brj-24395	68	31	seconds	second	NOUN
brj-24395	68	32	.	.	PUNCT
brj-24395	69	1	the	the	DET
brj-24395	69	2	data	datum	NOUN
brj-24395	69	3	were	be	AUX
brj-24395	69	4	output	output	NOUN
brj-24395	69	5	as	as	ADP
brj-24395	69	6	absorbance	absorbance	NOUN
brj-24395	69	7	values	value	NOUN
brj-24395	69	8	(	(	PUNCT
brj-24395	69	9	abs	ab	NOUN
brj-24395	69	10	)	)	PUNCT
brj-24395	69	11	.	.	PUNCT
brj-24395	70	1	python	python	NOUN
brj-24395	70	2	(	(	PUNCT
brj-24395	70	3	anaconda	anaconda	PROPN
brj-24395	70	4	,	,	PUNCT
brj-24395	70	5	austin	austin	PROPN
brj-24395	70	6	,	,	PUNCT
brj-24395	70	7	tx	tx	PROPN
brj-24395	70	8	,	,	PUNCT
brj-24395	70	9	usa	usa	PROPN
brj-24395	70	10	)	)	PUNCT
brj-24395	70	11	was	be	AUX
brj-24395	70	12	used	use	VERB
brj-24395	70	13	to	to	PART
brj-24395	70	14	process	process	VERB
brj-24395	70	15	the	the	DET
brj-24395	70	16	data	datum	NOUN
brj-24395	70	17	,	,	PUNCT
brj-24395	70	18	and	and	CCONJ
brj-24395	70	19	draw	draw	VERB
brj-24395	70	20	some	some	PRON
brj-24395	70	21	of	of	ADP
brj-24395	70	22	pictures	picture	NOUN
brj-24395	70	23	.	.	PUNCT
brj-24395	71	1	this	this	DET
brj-24395	71	2	software	software	NOUN
brj-24395	71	3	was	be	AUX
brj-24395	71	4	utilized	utilize	VERB
brj-24395	71	5	for	for	ADP
brj-24395	71	6	data	data	NOUN
brj-24395	71	7	preprocessing	preprocessing	NOUN
brj-24395	71	8	,	,	PUNCT
brj-24395	71	9	feature	feature	NOUN
brj-24395	71	10	extraction	extraction	NOUN
brj-24395	71	11	,	,	PUNCT
brj-24395	71	12	model	model	NOUN
brj-24395	71	13	training	training	NOUN
brj-24395	71	14	,	,	PUNCT
brj-24395	71	15	and	and	CCONJ
brj-24395	71	16	evaluation	evaluation	NOUN
brj-24395	71	17	.	.	PUNCT
brj-24395	72	1	libraries	library	NOUN
brj-24395	72	2	used	use	VERB
brj-24395	72	3	include	include	VERB
brj-24395	72	4	:	:	PUNCT
brj-24395	72	5	numpy	numpy	NOUN
brj-24395	72	6	:	:	PUNCT
brj-24395	72	7	for	for	ADP
brj-24395	72	8	numerical	numerical	PROPN
brj-24395	72	9	computing	computing	NOUN
brj-24395	72	10	.	.	PUNCT
brj-24395	73	1	scipy	scipy	PROPN
brj-24395	73	2	:	:	PUNCT
brj-24395	73	3	for	for	ADP
brj-24395	73	4	scientific	scientific	ADJ
brj-24395	73	5	computing	computing	NOUN
brj-24395	73	6	and	and	CCONJ
brj-24395	73	7	signal	signal	NOUN
brj-24395	73	8	processing	processing	NOUN
brj-24395	73	9	.	.	PUNCT
brj-24395	74	1	pandas	panda	NOUN
brj-24395	74	2	:	:	PUNCT
brj-24395	74	3	for	for	ADP
brj-24395	74	4	data	data	NOUN
brj-24395	74	5	manipulation	manipulation	NOUN
brj-24395	74	6	and	and	CCONJ
brj-24395	74	7	analysis	analysis	NOUN
brj-24395	74	8	.	.	PUNCT
brj-24395	75	1	scikit	scikit	NOUN
brj-24395	75	2	-	-	PUNCT
brj-24395	75	3	learn	learn	VERB
brj-24395	75	4	:	:	PUNCT
brj-24395	75	5	for	for	ADP
brj-24395	75	6	machine	machine	NOUN
brj-24395	75	7	learning	learn	VERB
brj-24395	75	8	algorithms	algorithm	NOUN
brj-24395	75	9	and	and	CCONJ
brj-24395	75	10	preprocessing	preprocessing	NOUN
brj-24395	75	11	.	.	PUNCT
brj-24395	76	1	tensorflow	tensorflow	NOUN
brj-24395	76	2	:	:	PUNCT
brj-24395	76	3	for	for	ADP
brj-24395	76	4	building	building	NOUN
brj-24395	76	5	and	and	CCONJ
brj-24395	76	6	training	train	VERB
brj-24395	76	7	deep	deep	ADJ
brj-24395	76	8	learning	learning	NOUN
brj-24395	76	9	models	model	NOUN
brj-24395	76	10	.	.	PUNCT
brj-24395	77	1	pytorch	pytorch	NOUN
brj-24395	77	2	:	:	PUNCT
brj-24395	77	3	for	for	ADP
brj-24395	77	4	building	building	NOUN
brj-24395	77	5	and	and	CCONJ
brj-24395	77	6	training	train	VERB
brj-24395	77	7	deep	deep	ADJ
brj-24395	77	8	learning	learning	NOUN
brj-24395	77	9	models	model	NOUN
brj-24395	77	10	.	.	PUNCT
brj-24395	78	1	origin	origin	NOUN
brj-24395	78	2	-	-	PUNCT
brj-24395	78	3	pro	pro	ADJ
brj-24395	78	4	(	(	PUNCT
brj-24395	78	5	origin	origin	NOUN
brj-24395	78	6	-	-	PUNCT
brj-24395	78	7	lab	lab	NOUN
brj-24395	78	8	corporation	corporation	NOUN
brj-24395	78	9	,	,	PUNCT
brj-24395	78	10	northampton	northampton	PROPN
brj-24395	78	11	,	,	PUNCT
brj-24395	78	12	ma	ma	PROPN
brj-24395	78	13	,	,	PUNCT
brj-24395	78	14	usa	usa	PROPN
brj-24395	78	15	)	)	PUNCT
brj-24395	78	16	was	be	AUX
brj-24395	78	17	used	use	VERB
brj-24395	78	18	for	for	ADP
brj-24395	78	19	creating	create	VERB
brj-24395	78	20	complex	complex	ADJ
brj-24395	78	21	figures	figure	NOUN
brj-24395	78	22	and	and	CCONJ
brj-24395	78	23	visualizations	visualization	NOUN
brj-24395	78	24	.	.	PUNCT
brj-24395	79	1	peer	peer	NOUN
brj-24395	79	2	-	-	PUNCT
brj-24395	79	3	reviewed	review	VERB
brj-24395	79	4	article	article	NOUN
brj-24395	79	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24395	79	6	xin	xin	PROPN
brj-24395	79	7	et	et	PROPN
brj-24395	79	8	al	al	PROPN
brj-24395	79	9	.	.	PROPN
brj-24395	80	1	(	(	PUNCT
brj-24395	80	2	2025	2025	NUM
brj-24395	80	3	)	)	PUNCT
brj-24395	80	4	.	.	PUNCT
brj-24395	81	1	“	"	PUNCT
brj-24395	81	2	wood	wood	NOUN
brj-24395	81	3	species	specie	NOUN
brj-24395	81	4	i	i	NOUN
brj-24395	81	5	d	d	PROPN
brj-24395	81	6	by	by	ADP
brj-24395	81	7	infrared	infrared	NOUN
brj-24395	81	8	,	,	PUNCT
brj-24395	81	9	”	"	PUNCT
brj-24395	81	10	bioresources	bioresource	NOUN
brj-24395	81	11	20(2	20(2	NUM
brj-24395	81	12	)	)	PUNCT
brj-24395	81	13	,	,	PUNCT
brj-24395	81	14	4464	4464	NUM
brj-24395	81	15	-	-	SYM
brj-24395	81	16	4478	4478	NUM
brj-24395	81	17	.	.	PUNCT
brj-24395	82	1	4468	4468	NUM
brj-24395	82	2	methods	method	NOUN
brj-24395	82	3	pre	pre	NOUN
brj-24395	82	4	-	-	NOUN
brj-24395	82	5	process	process	NOUN
brj-24395	82	6	in	in	ADP
brj-24395	82	7	the	the	DET
brj-24395	82	8	preprocessing	preprocessing	NOUN
brj-24395	82	9	phase	phase	NOUN
brj-24395	82	10	,	,	PUNCT
brj-24395	82	11	signals	signal	NOUN
brj-24395	82	12	were	be	AUX
brj-24395	82	13	identified	identify	VERB
brj-24395	82	14	as	as	ADP
brj-24395	82	15	irrelevant	irrelevant	ADJ
brj-24395	82	16	if	if	SCONJ
brj-24395	82	17	they	they	PRON
brj-24395	82	18	fell	fall	VERB
brj-24395	82	19	outside	outside	ADP
brj-24395	82	20	the	the	DET
brj-24395	82	21	operational	operational	ADJ
brj-24395	82	22	spectral	spectral	ADJ
brj-24395	82	23	wavenumber	wavenumber	NOUN
brj-24395	82	24	range	range	NOUN
brj-24395	82	25	of	of	ADP
brj-24395	82	26	the	the	DET
brj-24395	82	27	light	light	ADJ
brj-24395	82	28	source	source	NOUN
brj-24395	82	29	or	or	CCONJ
brj-24395	82	30	were	be	AUX
brj-24395	82	31	obscured	obscure	VERB
brj-24395	82	32	by	by	ADP
brj-24395	82	33	atmospheric	atmospheric	ADJ
brj-24395	82	34	absorption	absorption	NOUN
brj-24395	82	35	from	from	ADP
brj-24395	82	36	water	water	NOUN
brj-24395	82	37	vapor	vapor	NOUN
brj-24395	82	38	and	and	CCONJ
brj-24395	82	39	carbon	carbon	NOUN
brj-24395	82	40	dioxide	dioxide	NOUN
brj-24395	82	41	.	.	PUNCT
brj-24395	83	1	these	these	DET
brj-24395	83	2	irrelevant	irrelevant	ADJ
brj-24395	83	3	signals	signal	NOUN
brj-24395	83	4	were	be	AUX
brj-24395	83	5	removed	remove	VERB
brj-24395	83	6	to	to	PART
brj-24395	83	7	reduce	reduce	VERB
brj-24395	83	8	interference	interference	NOUN
brj-24395	83	9	and	and	CCONJ
brj-24395	83	10	enhance	enhance	VERB
brj-24395	83	11	data	datum	NOUN
brj-24395	83	12	quality	quality	NOUN
brj-24395	83	13	.	.	PUNCT
brj-24395	84	1	subsequently	subsequently	ADV
brj-24395	84	2	,	,	PUNCT
brj-24395	84	3	noise	noise	NOUN
brj-24395	84	4	reduction	reduction	NOUN
brj-24395	84	5	techniques	technique	NOUN
brj-24395	84	6	were	be	AUX
brj-24395	84	7	applied	apply	VERB
brj-24395	84	8	to	to	PART
brj-24395	84	9	eliminate	eliminate	VERB
brj-24395	84	10	the	the	DET
brj-24395	84	11	impact	impact	NOUN
brj-24395	84	12	of	of	ADP
brj-24395	84	13	noise	noise	NOUN
brj-24395	84	14	on	on	ADP
brj-24395	84	15	the	the	DET
brj-24395	84	16	signals	signal	NOUN
brj-24395	84	17	.	.	PUNCT
brj-24395	85	1	finally	finally	ADV
brj-24395	85	2	,	,	PUNCT
brj-24395	85	3	multivariate	multivariate	NOUN
brj-24395	85	4	scattering	scatter	VERB
brj-24395	85	5	correction	correction	NOUN
brj-24395	85	6	(	(	PUNCT
brj-24395	85	7	msc	msc	PROPN
brj-24395	85	8	)	)	PUNCT
brj-24395	85	9	was	be	AUX
brj-24395	85	10	utilized	utilize	VERB
brj-24395	85	11	to	to	PART
brj-24395	85	12	normalize	normalize	VERB
brj-24395	85	13	the	the	DET
brj-24395	85	14	data	datum	NOUN
brj-24395	85	15	,	,	PUNCT
brj-24395	85	16	which	which	PRON
brj-24395	85	17	helps	help	VERB
brj-24395	85	18	to	to	PART
brj-24395	85	19	eliminate	eliminate	VERB
brj-24395	85	20	the	the	DET
brj-24395	85	21	effects	effect	NOUN
brj-24395	85	22	of	of	ADP
brj-24395	85	23	light	light	ADJ
brj-24395	85	24	scattering	scattering	NOUN
brj-24395	85	25	and	and	CCONJ
brj-24395	85	26	baseline	baseline	NOUN
brj-24395	85	27	drift	drift	NOUN
brj-24395	85	28	,	,	PUNCT
brj-24395	85	29	ensuring	ensure	VERB
brj-24395	85	30	consistency	consistency	NOUN
brj-24395	85	31	and	and	CCONJ
brj-24395	85	32	comparability	comparability	NOUN
brj-24395	85	33	of	of	ADP
brj-24395	85	34	the	the	DET
brj-24395	85	35	spectral	spectral	ADJ
brj-24395	85	36	data	datum	NOUN
brj-24395	85	37	.	.	PUNCT
brj-24395	86	1	this	this	DET
brj-24395	86	2	process	process	NOUN
brj-24395	86	3	made	make	VERB
brj-24395	86	4	the	the	DET
brj-24395	86	5	spectral	spectral	ADJ
brj-24395	86	6	data	datum	NOUN
brj-24395	86	7	more	more	ADV
brj-24395	86	8	suitable	suitable	ADJ
brj-24395	86	9	for	for	ADP
brj-24395	86	10	subsequent	subsequent	ADJ
brj-24395	86	11	analysis	analysis	NOUN
brj-24395	86	12	and	and	CCONJ
brj-24395	86	13	modeling	modeling	NOUN
brj-24395	86	14	.	.	PUNCT
brj-24395	87	1	msc	msc	PROPN
brj-24395	87	2	is	be	AUX
brj-24395	87	3	a	a	DET
brj-24395	87	4	preprocessing	preprocessing	NOUN
brj-24395	87	5	technique	technique	NOUN
brj-24395	87	6	used	use	VERB
brj-24395	87	7	in	in	ADP
brj-24395	87	8	spectroscopy	spectroscopy	NOUN
brj-24395	87	9	to	to	PART
brj-24395	87	10	correct	correct	VERB
brj-24395	87	11	for	for	ADP
brj-24395	87	12	light	light	ADJ
brj-24395	87	13	scattering	scattering	NOUN
brj-24395	87	14	and	and	CCONJ
brj-24395	87	15	baseline	baseline	ADJ
brj-24395	87	16	variations	variation	NOUN
brj-24395	87	17	,	,	PUNCT
brj-24395	87	18	enhancing	enhance	VERB
brj-24395	87	19	the	the	DET
brj-24395	87	20	spectral	spectral	ADJ
brj-24395	87	21	quality	quality	NOUN
brj-24395	87	22	for	for	ADP
brj-24395	87	23	better	well	ADJ
brj-24395	87	24	analysis	analysis	NOUN
brj-24395	87	25	.	.	PUNCT
brj-24395	88	1	it	it	PRON
brj-24395	88	2	is	be	AUX
brj-24395	88	3	commonly	commonly	ADV
brj-24395	88	4	applied	apply	VERB
brj-24395	88	5	to	to	PART
brj-24395	88	6	improve	improve	VERB
brj-24395	88	7	the	the	DET
brj-24395	88	8	accuracy	accuracy	NOUN
brj-24395	88	9	of	of	ADP
brj-24395	88	10	chemical	chemical	ADJ
brj-24395	88	11	composition	composition	NOUN
brj-24395	88	12	determination	determination	NOUN
brj-24395	88	13	in	in	ADP
brj-24395	88	14	samples	sample	NOUN
brj-24395	88	15	by	by	ADP
brj-24395	88	16	normalizing	normalize	VERB
brj-24395	88	17	the	the	DET
brj-24395	88	18	spectra	spectra	NOUN
brj-24395	88	19	to	to	PART
brj-24395	88	20	account	account	VERB
brj-24395	88	21	for	for	ADP
brj-24395	88	22	instrumental	instrumental	ADJ
brj-24395	88	23	and	and	CCONJ
brj-24395	88	24	sample	sample	NOUN
brj-24395	88	25	-	-	PUNCT
brj-24395	88	26	related	relate	VERB
brj-24395	88	27	effects	effect	NOUN
brj-24395	88	28	.	.	PUNCT
brj-24395	89	1	analyze	analyze	VERB
brj-24395	89	2	interspecific	interspecific	NOUN
brj-24395	89	3	and	and	CCONJ
brj-24395	89	4	intraspecific	intraspecific	NOUN
brj-24395	89	5	differences	difference	NOUN
brj-24395	89	6	the	the	DET
brj-24395	89	7	pearson	pearson	PROPN
brj-24395	89	8	correlation	correlation	NOUN
brj-24395	89	9	coefficient	coefficient	NOUN
brj-24395	89	10	and	and	CCONJ
brj-24395	89	11	hierarchical	hierarchical	ADJ
brj-24395	89	12	clustering	clustering	ADJ
brj-24395	89	13	algorithm	algorithm	NOUN
brj-24395	89	14	(	(	PUNCT
brj-24395	89	15	hca	hca	NOUN
brj-24395	89	16	)	)	PUNCT
brj-24395	89	17	were	be	AUX
brj-24395	89	18	used	use	VERB
brj-24395	89	19	to	to	PART
brj-24395	89	20	find	find	VERB
brj-24395	89	21	the	the	DET
brj-24395	89	22	biggest	big	ADJ
brj-24395	89	23	interspecific	interspecific	NOUN
brj-24395	89	24	differences	difference	NOUN
brj-24395	89	25	and	and	CCONJ
brj-24395	89	26	the	the	DET
brj-24395	89	27	smallest	small	ADJ
brj-24395	89	28	intraspecific	intraspecific	NOUN
brj-24395	89	29	differences	difference	NOUN
brj-24395	89	30	.	.	PUNCT
brj-24395	90	1	the	the	DET
brj-24395	90	2	pearson	pearson	PROPN
brj-24395	90	3	correlation	correlation	NOUN
brj-24395	90	4	coefficient	coefficient	NOUN
brj-24395	90	5	measures	measure	VERB
brj-24395	90	6	the	the	DET
brj-24395	90	7	linear	linear	ADJ
brj-24395	90	8	relationship	relationship	NOUN
brj-24395	90	9	between	between	ADP
brj-24395	90	10	two	two	NUM
brj-24395	90	11	signals	signal	NOUN
brj-24395	90	12	,	,	PUNCT
brj-24395	90	13	ranging	range	VERB
brj-24395	90	14	from	from	ADP
brj-24395	90	15	-1	-1	PUNCT
brj-24395	90	16	(	(	PUNCT
brj-24395	90	17	perfect	perfect	ADJ
brj-24395	90	18	negative	negative	ADJ
brj-24395	90	19	correlation	correlation	NOUN
brj-24395	90	20	)	)	PUNCT
brj-24395	90	21	to	to	ADP
brj-24395	90	22	1	1	NUM
brj-24395	90	23	(	(	PUNCT
brj-24395	90	24	perfect	perfect	ADJ
brj-24395	90	25	positive	positive	ADJ
brj-24395	90	26	correlation	correlation	NOUN
brj-24395	90	27	)	)	PUNCT
brj-24395	90	28	(	(	PUNCT
brj-24395	90	29	matsumoto	matsumoto	NOUN
brj-24395	90	30	et	et	PROPN
brj-24395	90	31	al	al	PROPN
brj-24395	90	32	.	.	PROPN
brj-24395	90	33	2016	2016	NUM
brj-24395	90	34	)	)	PUNCT
brj-24395	90	35	.	.	PUNCT
brj-24395	91	1	it	it	PRON
brj-24395	91	2	was	be	AUX
brj-24395	91	3	calculated	calculate	VERB
brj-24395	91	4	as	as	SCONJ
brj-24395	91	5	follows	follow	VERB
brj-24395	91	6	,	,	PUNCT
brj-24395	91	7	𝑟	𝑟	X
brj-24395	91	8	=	=	SYM
brj-24395	91	9	∑(𝑥𝑖−	∑(𝑥𝑖−	NOUN
brj-24395	91	10	�	�	SYM
brj-24395	91	11	̅	̅	NOUN
brj-24395	91	12	�	�	SYM
brj-24395	91	13	)(𝑦𝑖−	)(𝑦𝑖−	NOUN
brj-24395	91	14	�	�	PROPN
brj-24395	91	15	̅	̅	NOUN
brj-24395	91	16	�	�	NOUN
brj-24395	91	17	)	)	PUNCT
brj-24395	91	18	√∑(𝑥𝑖−	√∑(𝑥𝑖−	NOUN
brj-24395	91	19	�	�	PROPN
brj-24395	91	20	̅	̅	NOUN
brj-24395	91	21	�	�	NOUN
brj-24395	91	22	)	)	PUNCT
brj-24395	92	1	2(𝑦𝑖−	2(𝑦𝑖−	NUM
brj-24395	92	2	�	�	SYM
brj-24395	92	3	̅	̅	NOUN
brj-24395	92	4	�	�	NOUN
brj-24395	92	5	)	)	PUNCT
brj-24395	92	6	2	2	NUM
brj-24395	92	7	(	(	PUNCT
brj-24395	92	8	1	1	NUM
brj-24395	92	9	)	)	PUNCT
brj-24395	92	10	where	where	SCONJ
brj-24395	92	11	the	the	DET
brj-24395	92	12	pearson	pearson	PROPN
brj-24395	92	13	correlation	correlation	NOUN
brj-24395	92	14	coefficient	coefficient	NOUN
brj-24395	92	15	is	be	AUX
brj-24395	92	16	represented	represent	VERB
brj-24395	92	17	by	by	ADP
brj-24395	92	18	𝑟	𝑟	NOUN
brj-24395	92	19	,	,	PUNCT
brj-24395	92	20	𝑥𝑖	𝑥𝑖	X
brj-24395	92	21	,	,	PUNCT
brj-24395	92	22	and	and	CCONJ
brj-24395	92	23	𝑦𝑖	𝑦𝑖	INTJ
brj-24395	92	24	,	,	PUNCT
brj-24395	92	25	which	which	PRON
brj-24395	92	26	are	be	AUX
brj-24395	92	27	paired	pair	VERB
brj-24395	92	28	observations	observation	NOUN
brj-24395	92	29	of	of	ADP
brj-24395	92	30	two	two	NUM
brj-24395	92	31	variables	variable	NOUN
brj-24395	92	32	,	,	PUNCT
brj-24395	92	33	and	and	CCONJ
brj-24395	92	34	�	�	PROPN
brj-24395	92	35	̅	̅	NOUN
brj-24395	92	36	�	�	PROPN
brj-24395	92	37	and	and	CCONJ
brj-24395	92	38	�	�	PROPN
brj-24395	92	39	̅	̅	NOUN
brj-24395	92	40	�	�	NOUN
brj-24395	92	41	are	be	AUX
brj-24395	92	42	the	the	DET
brj-24395	92	43	averages	average	NOUN
brj-24395	92	44	of	of	ADP
brj-24395	92	45	these	these	DET
brj-24395	92	46	two	two	NUM
brj-24395	92	47	variables	variable	NOUN
brj-24395	92	48	.	.	PUNCT
brj-24395	93	1	the	the	DET
brj-24395	93	2	hierarchical	hierarchical	ADJ
brj-24395	93	3	clustering	clustering	ADJ
brj-24395	93	4	algorithm	algorithm	NOUN
brj-24395	93	5	is	be	AUX
brj-24395	93	6	a	a	DET
brj-24395	93	7	commonly	commonly	ADV
brj-24395	93	8	used	use	VERB
brj-24395	93	9	clustering	clustering	NOUN
brj-24395	93	10	method	method	NOUN
brj-24395	93	11	that	that	PRON
brj-24395	93	12	constructs	construct	VERB
brj-24395	93	13	a	a	DET
brj-24395	93	14	hierarchical	hierarchical	ADJ
brj-24395	93	15	tree	tree	NOUN
brj-24395	93	16	of	of	ADP
brj-24395	93	17	clusters	cluster	NOUN
brj-24395	93	18	by	by	ADP
brj-24395	93	19	progressively	progressively	ADV
brj-24395	93	20	merging	merge	VERB
brj-24395	93	21	or	or	CCONJ
brj-24395	93	22	splitting	split	VERB
brj-24395	93	23	existing	exist	VERB
brj-24395	93	24	clusters	cluster	NOUN
brj-24395	93	25	(	(	PUNCT
brj-24395	93	26	saxena	saxena	PROPN
brj-24395	93	27	et	et	PROPN
brj-24395	93	28	al	al	PROPN
brj-24395	93	29	.	.	PROPN
brj-24395	93	30	2017	2017	NUM
brj-24395	93	31	)	)	PUNCT
brj-24395	93	32	.	.	PUNCT
brj-24395	94	1	this	this	DET
brj-24395	94	2	method	method	NOUN
brj-24395	94	3	progressively	progressively	ADV
brj-24395	94	4	merges	merge	VERB
brj-24395	94	5	existing	exist	VERB
brj-24395	94	6	clusters	cluster	NOUN
brj-24395	94	7	in	in	ADP
brj-24395	94	8	a	a	DET
brj-24395	94	9	bottom	bottom	ADJ
brj-24395	94	10	-	-	PUNCT
brj-24395	94	11	up	up	ADP
brj-24395	94	12	approach	approach	NOUN
brj-24395	94	13	.	.	PUNCT
brj-24395	95	1	the	the	DET
brj-24395	95	2	agglomerative	agglomerative	ADJ
brj-24395	95	3	direction	direction	NOUN
brj-24395	95	4	and	and	CCONJ
brj-24395	95	5	the	the	DET
brj-24395	95	6	average	average	ADJ
brj-24395	95	7	linkage	linkage	NOUN
brj-24395	95	8	criterion	criterion	NOUN
brj-24395	95	9	were	be	AUX
brj-24395	95	10	utilized	utilize	VERB
brj-24395	95	11	as	as	ADP
brj-24395	95	12	the	the	DET
brj-24395	95	13	method	method	NOUN
brj-24395	95	14	for	for	ADP
brj-24395	95	15	determining	determine	VERB
brj-24395	95	16	the	the	DET
brj-24395	95	17	distance	distance	NOUN
brj-24395	95	18	between	between	ADP
brj-24395	95	19	clusters	cluster	NOUN
brj-24395	95	20	.	.	PUNCT
brj-24395	96	1	the	the	DET
brj-24395	96	2	pearson	pearson	PROPN
brj-24395	96	3	correlation	correlation	NOUN
brj-24395	96	4	coefficient	coefficient	NOUN
brj-24395	96	5	was	be	AUX
brj-24395	96	6	employed	employ	VERB
brj-24395	96	7	to	to	PART
brj-24395	96	8	measure	measure	VERB
brj-24395	96	9	the	the	DET
brj-24395	96	10	similarity	similarity	NOUN
brj-24395	96	11	between	between	ADP
brj-24395	96	12	signals	signal	NOUN
brj-24395	96	13	.	.	PUNCT
brj-24395	97	1	ultimately	ultimately	ADV
brj-24395	97	2	,	,	PUNCT
brj-24395	97	3	this	this	DET
brj-24395	97	4	process	process	NOUN
brj-24395	97	5	results	result	VERB
brj-24395	97	6	in	in	ADP
brj-24395	97	7	a	a	DET
brj-24395	97	8	tree	tree	NOUN
brj-24395	97	9	-	-	PUNCT
brj-24395	97	10	like	like	ADJ
brj-24395	97	11	structure	structure	NOUN
brj-24395	97	12	of	of	ADP
brj-24395	97	13	the	the	DET
brj-24395	97	14	clusters	cluster	NOUN
brj-24395	97	15	.	.	PUNCT
brj-24395	98	1	mtf	mtf	VERB
brj-24395	98	2	the	the	DET
brj-24395	98	3	markov	markov	NOUN
brj-24395	98	4	transition	transition	NOUN
brj-24395	98	5	field	field	NOUN
brj-24395	98	6	(	(	PUNCT
brj-24395	98	7	mtf	mtf	NOUN
brj-24395	98	8	)	)	PUNCT
brj-24395	98	9	method	method	NOUN
brj-24395	98	10	converts	convert	VERB
brj-24395	98	11	one	one	NUM
brj-24395	98	12	-	-	PUNCT
brj-24395	98	13	dimensional	dimensional	ADJ
brj-24395	98	14	spectral	spectral	ADJ
brj-24395	98	15	data	datum	NOUN
brj-24395	98	16	into	into	ADP
brj-24395	98	17	a	a	DET
brj-24395	98	18	two	two	NUM
brj-24395	98	19	-	-	PUNCT
brj-24395	98	20	dimensional	dimensional	ADJ
brj-24395	98	21	representation	representation	NOUN
brj-24395	98	22	by	by	ADP
brj-24395	98	23	encoding	encode	VERB
brj-24395	98	24	temporal	temporal	ADJ
brj-24395	98	25	dependencies	dependency	NOUN
brj-24395	98	26	through	through	ADP
brj-24395	98	27	state	state	NOUN
brj-24395	98	28	transition	transition	NOUN
brj-24395	98	29	probabilities	probability	NOUN
brj-24395	98	30	(	(	PUNCT
brj-24395	98	31	zhao	zhao	X
brj-24395	98	32	et	et	PROPN
brj-24395	98	33	al	al	PROPN
brj-24395	98	34	.	.	PROPN
brj-24395	98	35	2022	2022	NUM
brj-24395	98	36	)	)	PUNCT
brj-24395	98	37	.	.	PUNCT
brj-24395	99	1	this	this	DET
brj-24395	99	2	transformation	transformation	NOUN
brj-24395	99	3	involves	involve	VERB
brj-24395	99	4	three	three	NUM
brj-24395	99	5	key	key	ADJ
brj-24395	99	6	steps	step	NOUN
brj-24395	99	7	:	:	PUNCT
brj-24395	99	8	1	1	X
brj-24395	99	9	.	.	PUNCT
brj-24395	99	10	state	state	NOUN
brj-24395	99	11	quantization	quantization	NOUN
brj-24395	99	12	:	:	PUNCT
brj-24395	99	13	the	the	DET
brj-24395	99	14	spectral	spectral	ADJ
brj-24395	99	15	intensity	intensity	NOUN
brj-24395	99	16	values	value	NOUN
brj-24395	99	17	are	be	AUX
brj-24395	99	18	discretized	discretize	VERB
brj-24395	99	19	into	into	ADP
brj-24395	99	20	n	n	CCONJ
brj-24395	99	21	distinct	distinct	ADJ
brj-24395	99	22	states	state	NOUN
brj-24395	99	23	(	(	PUNCT
brj-24395	99	24	empirically	empirically	ADV
brj-24395	99	25	optimized	optimize	VERB
brj-24395	99	26	to	to	ADP
brj-24395	99	27	n=10	n=10	PRON
brj-24395	99	28	in	in	ADP
brj-24395	99	29	this	this	DET
brj-24395	99	30	study	study	NOUN
brj-24395	99	31	)	)	PUNCT
brj-24395	99	32	based	base	VERB
brj-24395	99	33	on	on	ADP
brj-24395	99	34	intensity	intensity	NOUN
brj-24395	99	35	ranges	range	NOUN
brj-24395	99	36	.	.	PUNCT
brj-24395	100	1	2	2	X
brj-24395	100	2	.	.	X
brj-24395	100	3	transition	transition	NOUN
brj-24395	100	4	probability	probability	NOUN
brj-24395	100	5	calculation	calculation	NOUN
brj-24395	100	6	:	:	PUNCT
brj-24395	100	7	a	a	DET
brj-24395	100	8	markov	markov	NOUN
brj-24395	100	9	transition	transition	NOUN
brj-24395	100	10	matrix	matrix	NOUN
brj-24395	100	11	(	(	PUNCT
brj-24395	100	12	mtm	mtm	PROPN
brj-24395	100	13	)	)	PUNCT
brj-24395	100	14	is	be	AUX
brj-24395	100	15	constructed	construct	VERB
brj-24395	100	16	to	to	PART
brj-24395	100	17	capture	capture	VERB
brj-24395	100	18	the	the	DET
brj-24395	100	19	probability	probability	NOUN
brj-24395	100	20	of	of	ADP
brj-24395	100	21	transitioning	transition	VERB
brj-24395	100	22	between	between	ADP
brj-24395	100	23	adjacent	adjacent	ADJ
brj-24395	100	24	states	state	NOUN
brj-24395	100	25	along	along	ADP
brj-24395	100	26	the	the	DET
brj-24395	100	27	spectral	spectral	ADJ
brj-24395	100	28	sequence	sequence	NOUN
brj-24395	100	29	.	.	PUNCT
brj-24395	101	1	each	each	DET
brj-24395	101	2	element	element	ADJ
brj-24395	101	3	𝑃𝑖,𝑗	𝑃𝑖,𝑗	PROPN
brj-24395	101	4	in	in	ADP
brj-24395	101	5	the	the	DET
brj-24395	101	6	mtm	mtm	PROPN
brj-24395	101	7	represents	represent	VERB
brj-24395	101	8	the	the	DET
brj-24395	101	9	likelihood	likelihood	NOUN
brj-24395	101	10	of	of	ADP
brj-24395	101	11	transitioning	transition	VERB
brj-24395	101	12	from	from	ADP
brj-24395	101	13	state	state	NOUN
brj-24395	101	14	i	i	PRON
brj-24395	101	15	to	to	ADP
brj-24395	101	16	state	state	VERB
brj-24395	101	17	j.	j.	PROPN
brj-24395	101	18	3	3	PROPN
brj-24395	101	19	.	.	PUNCT
brj-24395	101	20	image	image	NOUN
brj-24395	101	21	generation	generation	NOUN
brj-24395	101	22	:	:	PUNCT
brj-24395	101	23	the	the	DET
brj-24395	101	24	mtm	mtm	PROPN
brj-24395	101	25	is	be	AUX
brj-24395	101	26	mapped	map	VERB
brj-24395	101	27	to	to	ADP
brj-24395	101	28	a	a	DET
brj-24395	101	29	grayscale	grayscale	NOUN
brj-24395	101	30	image	image	NOUN
brj-24395	101	31	matrix	matrix	NOUN
brj-24395	101	32	(	(	PUNCT
brj-24395	101	33	fig	fig	NOUN
brj-24395	101	34	.	.	PUNCT
brj-24395	102	1	4a	4a	NUM
brj-24395	102	2	)	)	PUNCT
brj-24395	102	3	,	,	PUNCT
brj-24395	102	4	where	where	SCONJ
brj-24395	102	5	pixel	pixel	PROPN
brj-24395	102	6	intensity	intensity	NOUN
brj-24395	102	7	at	at	ADP
brj-24395	102	8	position	position	NOUN
brj-24395	102	9	(	(	PUNCT
brj-24395	102	10	i	i	PROPN
brj-24395	102	11	,	,	PUNCT
brj-24395	102	12	j	j	PROPN
brj-24395	102	13	)	)	PUNCT
brj-24395	102	14	corresponds	correspond	VERB
brj-24395	102	15	to	to	ADP
brj-24395	102	16	𝑃𝑖,𝑗.	𝑃𝑖,𝑗.	VERB
brj-24395	102	17	this	this	DET
brj-24395	102	18	matrix	matrix	NOUN
brj-24395	102	19	preserves	preserve	VERB
brj-24395	102	20	dynamic	dynamic	ADJ
brj-24395	102	21	peer	peer	NOUN
brj-24395	102	22	-	-	PUNCT
brj-24395	102	23	reviewed	review	VERB
brj-24395	102	24	article	article	NOUN
brj-24395	102	25	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24395	102	26	xin	xin	PROPN
brj-24395	102	27	et	et	PROPN
brj-24395	102	28	al	al	PROPN
brj-24395	102	29	.	.	PROPN
brj-24395	103	1	(	(	PUNCT
brj-24395	103	2	2025	2025	NUM
brj-24395	103	3	)	)	PUNCT
brj-24395	103	4	.	.	PUNCT
brj-24395	104	1	“	"	PUNCT
brj-24395	104	2	wood	wood	NOUN
brj-24395	104	3	species	specie	NOUN
brj-24395	104	4	i	i	NOUN
brj-24395	104	5	d	d	PROPN
brj-24395	104	6	by	by	ADP
brj-24395	104	7	infrared	infrared	NOUN
brj-24395	104	8	,	,	PUNCT
brj-24395	104	9	”	"	PUNCT
brj-24395	104	10	bioresources	bioresource	NOUN
brj-24395	104	11	20(2	20(2	NUM
brj-24395	104	12	)	)	PUNCT
brj-24395	104	13	,	,	PUNCT
brj-24395	104	14	4464	4464	NUM
brj-24395	104	15	-	-	SYM
brj-24395	104	16	4478	4478	NUM
brj-24395	104	17	.	.	PUNCT
brj-24395	105	1	4469	4469	NUM
brj-24395	105	2	features	feature	VERB
brj-24395	105	3	(	(	PUNCT
brj-24395	105	4	e.g.	e.g.	ADV
brj-24395	105	5	,	,	PUNCT
brj-24395	105	6	peak	peak	NOUN
brj-24395	105	7	shifts	shift	NOUN
brj-24395	105	8	,	,	PUNCT
brj-24395	105	9	intensity	intensity	NOUN
brj-24395	105	10	fluctuations	fluctuation	NOUN
brj-24395	105	11	)	)	PUNCT
brj-24395	105	12	while	while	SCONJ
brj-24395	105	13	suppressing	suppress	VERB
brj-24395	105	14	noise	noise	NOUN
brj-24395	105	15	through	through	ADP
brj-24395	105	16	probabilistic	probabilistic	ADJ
brj-24395	105	17	smoothing	smoothing	NOUN
brj-24395	105	18	.	.	PUNCT
brj-24395	106	1	sknet	sknet	PROPN
brj-24395	106	2	the	the	DET
brj-24395	106	3	selective	selective	ADJ
brj-24395	106	4	kernel	kernel	NOUN
brj-24395	106	5	network	network	PROPN
brj-24395	106	6	(	(	PUNCT
brj-24395	106	7	sknet	sknet	NOUN
brj-24395	106	8	)	)	PUNCT
brj-24395	106	9	enhances	enhance	VERB
brj-24395	106	10	feature	feature	NOUN
brj-24395	106	11	extraction	extraction	NOUN
brj-24395	106	12	in	in	ADP
brj-24395	106	13	neural	neural	ADJ
brj-24395	106	14	networks	network	NOUN
brj-24395	106	15	through	through	ADP
brj-24395	106	16	a	a	DET
brj-24395	106	17	multi	multi	ADJ
brj-24395	106	18	-	-	ADJ
brj-24395	106	19	scale	scale	ADJ
brj-24395	106	20	architecture	architecture	NOUN
brj-24395	106	21	and	and	CCONJ
brj-24395	106	22	adaptive	adaptive	ADJ
brj-24395	106	23	attention	attention	NOUN
brj-24395	106	24	mechanisms	mechanism	NOUN
brj-24395	106	25	(	(	PUNCT
brj-24395	106	26	li	li	PROPN
brj-24395	106	27	et	et	PROPN
brj-24395	106	28	al	al	PROPN
brj-24395	106	29	.	.	PROPN
brj-24395	106	30	2019	2019	NUM
brj-24395	106	31	)	)	PUNCT
brj-24395	106	32	.	.	PUNCT
brj-24395	107	1	its	its	PRON
brj-24395	107	2	core	core	NOUN
brj-24395	107	3	design	design	NOUN
brj-24395	107	4	comprises	comprise	VERB
brj-24395	107	5	three	three	NUM
brj-24395	107	6	components	component	NOUN
brj-24395	107	7	(	(	PUNCT
brj-24395	107	8	fig.1.d	fig.1.d	ADJ
brj-24395	107	9	):	):	PUNCT
brj-24395	107	10	1	1	X
brj-24395	107	11	.	.	X
brj-24395	107	12	multi	multi	ADJ
brj-24395	107	13	-	-	ADJ
brj-24395	107	14	scale	scale	ADJ
brj-24395	107	15	convolution	convolution	NOUN
brj-24395	107	16	branches	branch	NOUN
brj-24395	107	17	:	:	PUNCT
brj-24395	107	18	parallel	parallel	ADJ
brj-24395	107	19	branches	branch	NOUN
brj-24395	107	20	with	with	ADP
brj-24395	107	21	varying	vary	VERB
brj-24395	107	22	kernel	kernel	NOUN
brj-24395	107	23	sizes	size	NOUN
brj-24395	107	24	(	(	PUNCT
brj-24395	107	25	e.g.	e.g.	ADV
brj-24395	107	26	,	,	PUNCT
brj-24395	107	27	3×3	3×3	NUM
brj-24395	107	28	and	and	CCONJ
brj-24395	107	29	5×5	5×5	NUM
brj-24395	107	30	)	)	PUNCT
brj-24395	107	31	extract	extract	VERB
brj-24395	107	32	local	local	ADJ
brj-24395	107	33	and	and	CCONJ
brj-24395	107	34	global	global	ADJ
brj-24395	107	35	spectral	spectral	ADJ
brj-24395	107	36	features	feature	NOUN
brj-24395	107	37	.	.	PUNCT
brj-24395	108	1	for	for	ADP
brj-24395	108	2	instance	instance	NOUN
brj-24395	108	3	,	,	PUNCT
brj-24395	108	4	smaller	small	ADJ
brj-24395	108	5	kernels	kernel	NOUN
brj-24395	108	6	capture	capture	VERB
brj-24395	108	7	fine	fine	ADV
brj-24395	108	8	-	-	PUNCT
brj-24395	108	9	grained	grain	VERB
brj-24395	108	10	lignin	lignin	NOUN
brj-24395	108	11	aromatic	aromatic	ADJ
brj-24395	108	12	vibrations	vibration	NOUN
brj-24395	108	13	(	(	PUNCT
brj-24395	108	14	1600	1600	NUM
brj-24395	108	15	to	to	ADP
brj-24395	108	16	1800	1800	NUM
brj-24395	108	17	cm⁻¹	cm⁻¹	NOUN
brj-24395	108	18	)	)	PUNCT
brj-24395	108	19	,	,	PUNCT
brj-24395	108	20	while	while	SCONJ
brj-24395	108	21	larger	large	ADJ
brj-24395	108	22	kernels	kernel	NOUN
brj-24395	108	23	detect	detect	VERB
brj-24395	108	24	broad	broad	ADJ
brj-24395	108	25	cellulose	cellulose	NOUN
brj-24395	108	26	c	c	NOUN
brj-24395	108	27	-	-	PUNCT
brj-24395	108	28	o	o	NOUN
brj-24395	108	29	stretching	stretch	VERB
brj-24395	108	30	patterns	pattern	NOUN
brj-24395	108	31	(	(	PUNCT
brj-24395	108	32	1000	1000	NUM
brj-24395	108	33	to	to	ADP
brj-24395	108	34	1200	1200	NUM
brj-24395	108	35	cm⁻¹	cm⁻¹	NOUN
brj-24395	108	36	)	)	PUNCT
brj-24395	108	37	.	.	PUNCT
brj-24395	109	1	2	2	X
brj-24395	109	2	.	.	X
brj-24395	109	3	feature	feature	NOUN
brj-24395	109	4	fusion	fusion	NOUN
brj-24395	109	5	:	:	PUNCT
brj-24395	109	6	a	a	DET
brj-24395	109	7	squeeze	squeeze	NOUN
brj-24395	109	8	-	-	PUNCT
brj-24395	109	9	and	and	CCONJ
brj-24395	109	10	-	-	PUNCT
brj-24395	109	11	excitation	excitation	NOUN
brj-24395	109	12	module	module	NOUN
brj-24395	109	13	aggregates	aggregate	VERB
brj-24395	109	14	multi	multi	ADJ
brj-24395	109	15	-	-	ADJ
brj-24395	109	16	scale	scale	ADJ
brj-24395	109	17	outputs	output	NOUN
brj-24395	109	18	,	,	PUNCT
brj-24395	109	19	generating	generate	VERB
brj-24395	109	20	channel	channel	NOUN
brj-24395	109	21	-	-	PUNCT
brj-24395	109	22	wise	wise	ADJ
brj-24395	109	23	attention	attention	NOUN
brj-24395	109	24	weights	weight	NOUN
brj-24395	109	25	to	to	PART
brj-24395	109	26	prioritize	prioritize	VERB
brj-24395	109	27	critical	critical	ADJ
brj-24395	109	28	spectral	spectral	ADJ
brj-24395	109	29	regions	region	NOUN
brj-24395	109	30	(	(	PUNCT
brj-24395	109	31	e.g.	e.g.	ADV
brj-24395	109	32	,	,	PUNCT
brj-24395	109	33	lignin	lignin	NOUN
brj-24395	109	34	vs.	vs.	ADP
brj-24395	109	35	cellulose	cellulose	NOUN
brj-24395	109	36	-	-	PUNCT
brj-24395	109	37	dominated	dominate	VERB
brj-24395	109	38	bands	band	NOUN
brj-24395	109	39	)	)	PUNCT
brj-24395	109	40	.	.	PUNCT
brj-24395	110	1	3	3	X
brj-24395	110	2	.	.	X
brj-24395	110	3	dynamic	dynamic	ADJ
brj-24395	110	4	kernel	kernel	PROPN
brj-24395	110	5	selection	selection	NOUN
brj-24395	110	6	:	:	PUNCT
brj-24395	110	7	the	the	DET
brj-24395	110	8	attention	attention	NOUN
brj-24395	110	9	weights	weight	NOUN
brj-24395	110	10	dynamically	dynamically	ADV
brj-24395	110	11	adjust	adjust	VERB
brj-24395	110	12	the	the	DET
brj-24395	110	13	contribution	contribution	NOUN
brj-24395	110	14	of	of	ADP
brj-24395	110	15	each	each	DET
brj-24395	110	16	branch	branch	NOUN
brj-24395	110	17	,	,	PUNCT
brj-24395	110	18	enabling	enable	VERB
brj-24395	110	19	the	the	DET
brj-24395	110	20	model	model	NOUN
brj-24395	110	21	to	to	PART
brj-24395	110	22	adaptively	adaptively	ADV
brj-24395	110	23	focus	focus	VERB
brj-24395	110	24	on	on	ADP
brj-24395	110	25	discriminative	discriminative	NOUN
brj-24395	110	26	features	feature	NOUN
brj-24395	110	27	(	(	PUNCT
brj-24395	110	28	e.g.	e.g.	ADV
brj-24395	110	29	,	,	PUNCT
brj-24395	110	30	subtle	subtle	ADJ
brj-24395	110	31	peak	peak	NOUN
brj-24395	110	32	shifts	shift	NOUN
brj-24395	110	33	in	in	ADP
brj-24395	110	34	rosewood	rosewood	PROPN
brj-24395	110	35	spectra	spectra	PROPN
brj-24395	110	36	)	)	PUNCT
brj-24395	110	37	.	.	PUNCT
brj-24395	111	1	sknet	sknet	PROPN
brj-24395	111	2	,	,	PUNCT
brj-24395	111	3	unlike	unlike	ADP
brj-24395	111	4	standard	standard	ADJ
brj-24395	111	5	cnns	cnn	NOUN
brj-24395	111	6	with	with	ADP
brj-24395	111	7	fixed	fix	VERB
brj-24395	111	8	kernel	kernel	PROPN
brj-24395	111	9	sizes	size	NOUN
brj-24395	111	10	,	,	PUNCT
brj-24395	111	11	employs	employ	VERB
brj-24395	111	12	an	an	DET
brj-24395	111	13	adaptive	adaptive	ADJ
brj-24395	111	14	selection	selection	NOUN
brj-24395	111	15	mechanism	mechanism	NOUN
brj-24395	111	16	that	that	PRON
brj-24395	111	17	dynamically	dynamically	ADV
brj-24395	111	18	adjusts	adjust	VERB
brj-24395	111	19	feature	feature	NOUN
brj-24395	111	20	extraction	extraction	NOUN
brj-24395	111	21	across	across	ADP
brj-24395	111	22	multiple	multiple	ADJ
brj-24395	111	23	kernel	kernel	NOUN
brj-24395	111	24	sizes	size	NOUN
brj-24395	111	25	.	.	PUNCT
brj-24395	112	1	this	this	DET
brj-24395	112	2	attention	attention	NOUN
brj-24395	112	3	-	-	PUNCT
brj-24395	112	4	based	base	VERB
brj-24395	112	5	approach	approach	NOUN
brj-24395	112	6	contrasts	contrast	VERB
brj-24395	112	7	with	with	ADP
brj-24395	112	8	the	the	DET
brj-24395	112	9	static	static	ADJ
brj-24395	112	10	nature	nature	NOUN
brj-24395	112	11	of	of	ADP
brj-24395	112	12	traditional	traditional	ADJ
brj-24395	112	13	cnns	cnn	NOUN
brj-24395	112	14	,	,	PUNCT
brj-24395	112	15	offering	offer	VERB
brj-24395	112	16	a	a	DET
brj-24395	112	17	more	more	ADV
brj-24395	112	18	efficient	efficient	ADJ
brj-24395	112	19	and	and	CCONJ
brj-24395	112	20	focused	focused	ADJ
brj-24395	112	21	feature	feature	NOUN
brj-24395	112	22	representation	representation	NOUN
brj-24395	112	23	with	with	ADP
brj-24395	112	24	only	only	ADV
brj-24395	112	25	a	a	DET
brj-24395	112	26	slight	slight	ADJ
brj-24395	112	27	increase	increase	NOUN
brj-24395	112	28	in	in	ADP
brj-24395	112	29	parameters	parameter	NOUN
brj-24395	112	30	,	,	PUNCT
brj-24395	112	31	making	make	VERB
brj-24395	112	32	it	it	PRON
brj-24395	112	33	particularly	particularly	ADV
brj-24395	112	34	suitable	suitable	ADJ
brj-24395	112	35	for	for	ADP
brj-24395	112	36	complex	complex	ADJ
brj-24395	112	37	data	datum	NOUN
brj-24395	112	38	analysis	analysis	NOUN
brj-24395	112	39	.	.	PUNCT
brj-24395	113	1	result	result	NOUN
brj-24395	113	2	evaluation	evaluation	NOUN
brj-24395	113	3	the	the	DET
brj-24395	113	4	dataset	dataset	NOUN
brj-24395	113	5	was	be	AUX
brj-24395	113	6	divided	divide	VERB
brj-24395	113	7	into	into	ADP
brj-24395	113	8	a	a	DET
brj-24395	113	9	training	training	NOUN
brj-24395	113	10	set	set	NOUN
brj-24395	113	11	and	and	CCONJ
brj-24395	113	12	a	a	DET
brj-24395	113	13	test	test	NOUN
brj-24395	113	14	set	set	VERB
brj-24395	113	15	according	accord	VERB
brj-24395	113	16	to	to	ADP
brj-24395	113	17	a	a	DET
brj-24395	113	18	4:1	4:1	NUM
brj-24395	113	19	ratio	ratio	NOUN
brj-24395	113	20	.	.	PUNCT
brj-24395	114	1	for	for	ADP
brj-24395	114	2	each	each	DET
brj-24395	114	3	small	small	ADJ
brj-24395	114	4	category	category	NOUN
brj-24395	114	5	,	,	PUNCT
brj-24395	114	6	if	if	SCONJ
brj-24395	114	7	the	the	DET
brj-24395	114	8	number	number	NOUN
brj-24395	114	9	of	of	ADP
brj-24395	114	10	individuals	individual	NOUN
brj-24395	114	11	in	in	ADP
brj-24395	114	12	the	the	DET
brj-24395	114	13	test	test	NOUN
brj-24395	114	14	set	set	NOUN
brj-24395	114	15	was	be	AUX
brj-24395	114	16	greater	great	ADJ
brj-24395	114	17	than	than	ADP
brj-24395	114	18	half	half	NOUN
brj-24395	114	19	of	of	ADP
brj-24395	114	20	the	the	DET
brj-24395	114	21	category	category	NOUN
brj-24395	114	22	’s	’s	PART
brj-24395	114	23	individuals	individual	NOUN
brj-24395	114	24	or	or	CCONJ
brj-24395	114	25	equaled	equal	VERB
brj-24395	114	26	zero	zero	NUM
brj-24395	114	27	after	after	SCONJ
brj-24395	114	28	intra	intra	ADJ
brj-24395	114	29	-	-	ADJ
brj-24395	114	30	class	class	ADJ
brj-24395	114	31	division	division	NOUN
brj-24395	114	32	,	,	PUNCT
brj-24395	114	33	a	a	DET
brj-24395	114	34	secondary	secondary	ADJ
brj-24395	114	35	replacement	replacement	NOUN
brj-24395	114	36	and	and	CCONJ
brj-24395	114	37	redivision	redivision	NOUN
brj-24395	114	38	were	be	AUX
brj-24395	114	39	performed	perform	VERB
brj-24395	114	40	.	.	PUNCT
brj-24395	115	1	this	this	PRON
brj-24395	115	2	means	mean	VERB
brj-24395	115	3	adjusting	adjust	VERB
brj-24395	115	4	the	the	DET
brj-24395	115	5	number	number	NOUN
brj-24395	115	6	of	of	ADP
brj-24395	115	7	test	test	NOUN
brj-24395	115	8	sets	set	NOUN
brj-24395	115	9	for	for	ADP
brj-24395	115	10	that	that	DET
brj-24395	115	11	category	category	NOUN
brj-24395	115	12	and	and	CCONJ
brj-24395	115	13	making	make	VERB
brj-24395	115	14	up	up	ADP
brj-24395	115	15	the	the	DET
brj-24395	115	16	difference	difference	NOUN
brj-24395	115	17	with	with	ADP
brj-24395	115	18	the	the	DET
brj-24395	115	19	test	test	NOUN
brj-24395	115	20	sets	set	NOUN
brj-24395	115	21	of	of	ADP
brj-24395	115	22	other	other	ADJ
brj-24395	115	23	categories	category	NOUN
brj-24395	115	24	.	.	PUNCT
brj-24395	116	1	this	this	PRON
brj-24395	116	2	ensured	ensure	VERB
brj-24395	116	3	the	the	DET
brj-24395	116	4	presence	presence	NOUN
brj-24395	116	5	of	of	ADP
brj-24395	116	6	test	test	NOUN
brj-24395	116	7	individuals	individual	NOUN
brj-24395	116	8	without	without	ADP
brj-24395	116	9	being	be	AUX
brj-24395	116	10	too	too	ADV
brj-24395	116	11	numerous	numerous	ADJ
brj-24395	116	12	.	.	PUNCT
brj-24395	117	1	after	after	ADP
brj-24395	117	2	qualitative	qualitative	ADJ
brj-24395	117	3	analysis	analysis	NOUN
brj-24395	117	4	of	of	ADP
brj-24395	117	5	the	the	DET
brj-24395	117	6	dataset	dataset	NOUN
brj-24395	117	7	using	use	VERB
brj-24395	117	8	the	the	DET
brj-24395	117	9	training	training	NOUN
brj-24395	117	10	set	set	NOUN
brj-24395	117	11	,	,	PUNCT
brj-24395	117	12	the	the	DET
brj-24395	117	13	test	test	NOUN
brj-24395	117	14	set	set	NOUN
brj-24395	117	15	was	be	AUX
brj-24395	117	16	used	use	VERB
brj-24395	117	17	to	to	PART
brj-24395	117	18	evaluate	evaluate	VERB
brj-24395	117	19	the	the	DET
brj-24395	117	20	results	result	NOUN
brj-24395	117	21	.	.	PUNCT
brj-24395	118	1	the	the	DET
brj-24395	118	2	accuracy	accuracy	NOUN
brj-24395	118	3	rate	rate	NOUN
brj-24395	118	4	of	of	ADP
brj-24395	118	5	the	the	DET
brj-24395	118	6	actual	actual	ADJ
brj-24395	118	7	test	test	NOUN
brj-24395	118	8	set	set	NOUN
brj-24395	118	9	results	result	NOUN
brj-24395	118	10	was	be	AUX
brj-24395	118	11	compared	compare	VERB
brj-24395	118	12	to	to	ADP
brj-24395	118	13	the	the	DET
brj-24395	118	14	algorithm	algorithm	NOUN
brj-24395	118	15	’s	’s	PART
brj-24395	118	16	predicted	predict	VERB
brj-24395	118	17	results	result	NOUN
brj-24395	118	18	to	to	PART
brj-24395	118	19	assess	assess	VERB
brj-24395	118	20	the	the	DET
brj-24395	118	21	algorithm	algorithm	NOUN
brj-24395	118	22	.	.	PUNCT
brj-24395	119	1	accuracy	accuracy	NOUN
brj-24395	119	2	measures	measure	VERB
brj-24395	119	3	the	the	DET
brj-24395	119	4	performance	performance	NOUN
brj-24395	119	5	of	of	ADP
brj-24395	119	6	a	a	DET
brj-24395	119	7	classification	classification	NOUN
brj-24395	119	8	model	model	NOUN
brj-24395	119	9	and	and	CCONJ
brj-24395	119	10	represents	represent	VERB
brj-24395	119	11	the	the	DET
brj-24395	119	12	proportion	proportion	NOUN
brj-24395	119	13	of	of	ADP
brj-24395	119	14	samples	sample	NOUN
brj-24395	119	15	correctly	correctly	ADV
brj-24395	119	16	predicted	predict	VERB
brj-24395	119	17	by	by	ADP
brj-24395	119	18	the	the	DET
brj-24395	119	19	model	model	NOUN
brj-24395	119	20	out	out	ADP
brj-24395	119	21	of	of	ADP
brj-24395	119	22	all	all	DET
brj-24395	119	23	predicted	predict	VERB
brj-24395	119	24	samples	sample	NOUN
brj-24395	119	25	,	,	PUNCT
brj-24395	119	26	as	as	SCONJ
brj-24395	119	27	follows	follow	VERB
brj-24395	119	28	,	,	PUNCT
brj-24395	119	29	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	PROPN
brj-24395	119	30	=	=	SYM
brj-24395	119	31	𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁	𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁	PUNCT
brj-24395	119	32	𝑇𝑃+𝑇𝑁	𝑇𝑃+𝑇𝑁	X
brj-24395	119	33	(	(	PUNCT
brj-24395	119	34	2	2	NUM
brj-24395	119	35	)	)	PUNCT
brj-24395	119	36	where	where	SCONJ
brj-24395	119	37	tp	tp	X
brj-24395	119	38	(	(	PUNCT
brj-24395	119	39	true	true	ADJ
brj-24395	119	40	positive	positive	ADJ
brj-24395	119	41	)	)	PUNCT
brj-24395	119	42	is	be	AUX
brj-24395	119	43	the	the	DET
brj-24395	119	44	number	number	NOUN
brj-24395	119	45	of	of	ADP
brj-24395	119	46	positive	positive	ADJ
brj-24395	119	47	samples	sample	NOUN
brj-24395	119	48	correctly	correctly	ADV
brj-24395	119	49	predicted	predict	VERB
brj-24395	119	50	,	,	PUNCT
brj-24395	119	51	tn	tn	PROPN
brj-24395	119	52	(	(	PUNCT
brj-24395	119	53	true	true	ADJ
brj-24395	119	54	negative	negative	ADJ
brj-24395	119	55	)	)	PUNCT
brj-24395	119	56	is	be	AUX
brj-24395	119	57	the	the	DET
brj-24395	119	58	number	number	NOUN
brj-24395	119	59	of	of	ADP
brj-24395	119	60	negative	negative	ADJ
brj-24395	119	61	samples	sample	NOUN
brj-24395	119	62	correctly	correctly	ADV
brj-24395	119	63	predicted	predict	VERB
brj-24395	119	64	,	,	PUNCT
brj-24395	119	65	fp	fp	INTJ
brj-24395	119	66	(	(	PUNCT
brj-24395	119	67	false	false	ADJ
brj-24395	119	68	positive	positive	ADJ
brj-24395	119	69	)	)	PUNCT
brj-24395	119	70	is	be	AUX
brj-24395	119	71	the	the	DET
brj-24395	119	72	number	number	NOUN
brj-24395	119	73	of	of	ADP
brj-24395	119	74	negative	negative	ADJ
brj-24395	119	75	samples	sample	NOUN
brj-24395	119	76	incorrectly	incorrectly	ADV
brj-24395	119	77	predicted	predict	VERB
brj-24395	119	78	as	as	ADP
brj-24395	119	79	positive	positive	ADJ
brj-24395	119	80	,	,	PUNCT
brj-24395	119	81	and	and	CCONJ
brj-24395	119	82	fn	fn	INTJ
brj-24395	119	83	(	(	PUNCT
brj-24395	119	84	false	false	ADJ
brj-24395	119	85	negative	negative	NOUN
brj-24395	119	86	)	)	PUNCT
brj-24395	119	87	is	be	AUX
brj-24395	119	88	the	the	DET
brj-24395	119	89	number	number	NOUN
brj-24395	119	90	of	of	ADP
brj-24395	119	91	positive	positive	ADJ
brj-24395	119	92	samples	sample	NOUN
brj-24395	119	93	incorrectly	incorrectly	ADV
brj-24395	119	94	predicted	predict	VERB
brj-24395	119	95	as	as	ADP
brj-24395	119	96	negative	negative	ADJ
brj-24395	119	97	.	.	PUNCT
brj-24395	120	1	results	result	NOUN
brj-24395	120	2	and	and	CCONJ
brj-24395	120	3	discussion	discussion	NOUN
brj-24395	120	4	pre	pre	ADJ
brj-24395	120	5	-	-	VERB
brj-24395	120	6	processing	process	VERB
brj-24395	120	7	the	the	DET
brj-24395	120	8	light	light	ADJ
brj-24395	120	9	source	source	NOUN
brj-24395	120	10	signal	signal	NOUN
brj-24395	120	11	was	be	AUX
brj-24395	120	12	weak	weak	ADJ
brj-24395	120	13	between	between	ADP
brj-24395	120	14	the	the	DET
brj-24395	120	15	wavenumbers	wavenumber	NOUN
brj-24395	120	16	of	of	ADP
brj-24395	120	17	0	0	NUM
brj-24395	120	18	to	to	ADP
brj-24395	120	19	600	600	NUM
brj-24395	120	20	and	and	CCONJ
brj-24395	120	21	2300	2300	NUM
brj-24395	120	22	to	to	ADP
brj-24395	120	23	2400	2400	NUM
brj-24395	120	24	,	,	PUNCT
brj-24395	120	25	with	with	ADP
brj-24395	120	26	strong	strong	ADJ
brj-24395	120	27	signal	signal	NOUN
brj-24395	120	28	fluctuation	fluctuation	NOUN
brj-24395	120	29	between	between	ADP
brj-24395	120	30	2300	2300	NUM
brj-24395	120	31	to	to	ADP
brj-24395	120	32	2400	2400	NUM
brj-24395	120	33	,	,	PUNCT
brj-24395	120	34	which	which	PRON
brj-24395	120	35	is	be	AUX
brj-24395	120	36	attributed	attribute	VERB
brj-24395	120	37	to	to	ADP
brj-24395	120	38	the	the	DET
brj-24395	120	39	mid	mid	ADJ
brj-24395	120	40	-	-	ADJ
brj-24395	120	41	infrared	infrared	ADJ
brj-24395	120	42	absorption	absorption	NOUN
brj-24395	120	43	of	of	ADP
brj-24395	120	44	carbon	carbon	NOUN
brj-24395	120	45	dioxide	dioxide	NOUN
brj-24395	120	46	and	and	CCONJ
brj-24395	120	47	water	water	NOUN
brj-24395	120	48	vapor	vapor	NOUN
brj-24395	120	49	gases	gas	NOUN
brj-24395	120	50	.	.	PUNCT
brj-24395	121	1	typically	typically	ADV
brj-24395	121	2	,	,	PUNCT
brj-24395	121	3	the	the	DET
brj-24395	121	4	method	method	NOUN
brj-24395	121	5	of	of	ADP
brj-24395	121	6	peer	peer	NOUN
brj-24395	121	7	-	-	PUNCT
brj-24395	121	8	reviewed	review	VERB
brj-24395	121	9	article	article	NOUN
brj-24395	121	10	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24395	121	11	xin	xin	PROPN
brj-24395	121	12	et	et	PROPN
brj-24395	121	13	al	al	PROPN
brj-24395	121	14	.	.	PROPN
brj-24395	122	1	(	(	PUNCT
brj-24395	122	2	2025	2025	NUM
brj-24395	122	3	)	)	PUNCT
brj-24395	122	4	.	.	PUNCT
brj-24395	123	1	“	"	PUNCT
brj-24395	123	2	wood	wood	NOUN
brj-24395	123	3	species	specie	NOUN
brj-24395	123	4	i	i	NOUN
brj-24395	123	5	d	d	PROPN
brj-24395	123	6	by	by	ADP
brj-24395	123	7	infrared	infrared	NOUN
brj-24395	123	8	,	,	PUNCT
brj-24395	123	9	”	"	PUNCT
brj-24395	123	10	bioresources	bioresource	NOUN
brj-24395	123	11	20(2	20(2	NUM
brj-24395	123	12	)	)	PUNCT
brj-24395	123	13	,	,	PUNCT
brj-24395	123	14	4464	4464	NUM
brj-24395	123	15	-	-	SYM
brj-24395	123	16	4478	4478	NUM
brj-24395	123	17	.	.	PUNCT
brj-24395	124	1	4470	4470	NUM
brj-24395	125	1	purging	purge	VERB
brj-24395	125	2	with	with	ADP
brj-24395	125	3	nitrogen	nitrogen	NOUN
brj-24395	125	4	is	be	AUX
brj-24395	125	5	used	use	VERB
brj-24395	125	6	to	to	PART
brj-24395	125	7	remove	remove	VERB
brj-24395	125	8	these	these	DET
brj-24395	125	9	effects	effect	NOUN
brj-24395	125	10	.	.	PUNCT
brj-24395	126	1	however	however	ADV
brj-24395	126	2	,	,	PUNCT
brj-24395	126	3	in	in	ADP
brj-24395	126	4	the	the	DET
brj-24395	126	5	course	course	NOUN
brj-24395	126	6	of	of	ADP
brj-24395	126	7	this	this	DET
brj-24395	126	8	study	study	NOUN
brj-24395	126	9	,	,	PUNCT
brj-24395	126	10	nitrogen	nitrogen	NOUN
brj-24395	126	11	purging	purging	NOUN
brj-24395	126	12	was	be	AUX
brj-24395	126	13	not	not	PART
brj-24395	126	14	employed	employ	VERB
brj-24395	126	15	.	.	PUNCT
brj-24395	127	1	consequently	consequently	ADV
brj-24395	127	2	,	,	PUNCT
brj-24395	127	3	during	during	ADP
brj-24395	127	4	preprocessing	preprocessing	NOUN
brj-24395	127	5	,	,	PUNCT
brj-24395	127	6	a	a	DET
brj-24395	127	7	truncation	truncation	NOUN
brj-24395	127	8	from	from	ADP
brj-24395	127	9	460	460	NUM
brj-24395	127	10	to	to	ADP
brj-24395	127	11	600	600	NUM
brj-24395	127	12	wavenumbers	wavenumber	NOUN
brj-24395	127	13	and	and	CCONJ
brj-24395	127	14	a	a	DET
brj-24395	127	15	smoothing	smoothing	NOUN
brj-24395	127	16	from	from	ADP
brj-24395	127	17	2300	2300	NUM
brj-24395	127	18	to	to	ADP
brj-24395	127	19	2450	2450	NUM
brj-24395	127	20	wavenumbers	wavenumber	NOUN
brj-24395	127	21	were	be	AUX
brj-24395	127	22	added	add	VERB
brj-24395	127	23	to	to	PART
brj-24395	127	24	reduce	reduce	VERB
brj-24395	127	25	signal	signal	NOUN
brj-24395	127	26	characteristics	characteristic	NOUN
brj-24395	127	27	caused	cause	VERB
brj-24395	127	28	by	by	ADP
brj-24395	127	29	non	non	ADJ
brj-24395	127	30	-	-	ADJ
brj-24395	127	31	sample	sample	ADJ
brj-24395	127	32	factors	factor	NOUN
brj-24395	127	33	.	.	PUNCT
brj-24395	128	1	the	the	DET
brj-24395	128	2	data	datum	NOUN
brj-24395	128	3	results	result	VERB
brj-24395	128	4	after	after	ADP
brj-24395	128	5	preprocessing	preprocesse	VERB
brj-24395	128	6	for	for	ADP
brj-24395	128	7	one	one	NUM
brj-24395	128	8	sample	sample	NOUN
brj-24395	128	9	are	be	AUX
brj-24395	128	10	shown	show	VERB
brj-24395	128	11	in	in	ADP
brj-24395	128	12	fig	fig	NOUN
brj-24395	128	13	.	.	PUNCT
brj-24395	129	1	2	2	NUM
brj-24395	129	2	.	.	X
brj-24395	129	3	for	for	ADP
brj-24395	129	4	most	most	ADJ
brj-24395	129	5	samples	sample	NOUN
brj-24395	129	6	,	,	PUNCT
brj-24395	129	7	after	after	ADP
brj-24395	129	8	preprocessing	preprocesse	VERB
brj-24395	129	9	,	,	PUNCT
brj-24395	129	10	the	the	DET
brj-24395	129	11	signal	signal	ADJ
brj-24395	129	12	range	range	NOUN
brj-24395	129	13	area	area	NOUN
brj-24395	129	14	became	become	VERB
brj-24395	129	15	smaller	small	ADJ
brj-24395	129	16	,	,	PUNCT
brj-24395	129	17	indicating	indicate	VERB
brj-24395	129	18	smaller	small	ADJ
brj-24395	129	19	intraspecific	intraspecific	NOUN
brj-24395	129	20	differences	difference	NOUN
brj-24395	129	21	,	,	PUNCT
brj-24395	129	22	which	which	PRON
brj-24395	129	23	is	be	AUX
brj-24395	129	24	beneficial	beneficial	ADJ
brj-24395	129	25	for	for	ADP
brj-24395	129	26	clustering	cluster	VERB
brj-24395	129	27	based	base	VERB
brj-24395	129	28	on	on	ADP
brj-24395	129	29	intraspecific	intraspecific	NOUN
brj-24395	129	30	characteristics	characteristic	NOUN
brj-24395	129	31	.	.	PUNCT
brj-24395	130	1	fig	fig	NOUN
brj-24395	130	2	.	.	PUNCT
brj-24395	131	1	2	2	X
brj-24395	131	2	.	.	X
brj-24395	131	3	spectrum	spectrum	NOUN
brj-24395	131	4	data	data	PROPN
brj-24395	131	5	.	.	PUNCT
brj-24395	132	1	a.	a.	NOUN
brj-24395	132	2	reference	reference	PROPN
brj-24395	132	3	light	light	PROPN
brj-24395	132	4	source	source	PROPN
brj-24395	132	5	comparison	comparison	NOUN
brj-24395	132	6	chart	chart	NOUN
brj-24395	132	7	before	before	ADV
brj-24395	132	8	and	and	CCONJ
brj-24395	132	9	after	after	ADP
brj-24395	132	10	preprocessing	preprocesse	VERB
brj-24395	132	11	(	(	PUNCT
brj-24395	132	12	using	use	VERB
brj-24395	132	13	pterocarpus	pterocarpus	NOUN
brj-24395	132	14	erinaceus	erinaceus	NOUN
brj-24395	132	15	as	as	ADP
brj-24395	132	16	an	an	DET
brj-24395	132	17	example	example	NOUN
brj-24395	132	18	)	)	PUNCT
brj-24395	132	19	b.	b.	PROPN
brj-24395	132	20	average	average	ADJ
brj-24395	132	21	pre	pre	ADJ
brj-24395	132	22	-	-	ADJ
brj-24395	132	23	processed	processed	ADJ
brj-24395	132	24	spectrum	spectrum	NOUN
brj-24395	132	25	for	for	ADP
brj-24395	132	26	each	each	DET
brj-24395	132	27	wood	wood	NOUN
brj-24395	132	28	species	specie	NOUN
brj-24395	132	29	analyze	analyze	VERB
brj-24395	132	30	interspecific	interspecific	NOUN
brj-24395	132	31	and	and	CCONJ
brj-24395	132	32	intraspecific	intraspecific	NOUN
brj-24395	132	33	differences	difference	NOUN
brj-24395	132	34	the	the	DET
brj-24395	132	35	pearson	pearson	PROPN
brj-24395	132	36	correlation	correlation	NOUN
brj-24395	132	37	coefficients	coefficient	NOUN
brj-24395	132	38	were	be	AUX
brj-24395	132	39	calculated	calculate	VERB
brj-24395	132	40	to	to	PART
brj-24395	132	41	obtain	obtain	VERB
brj-24395	132	42	the	the	DET
brj-24395	132	43	intraspecific	intraspecific	NOUN
brj-24395	132	44	and	and	CCONJ
brj-24395	132	45	interspecific	interspecific	NOUN
brj-24395	132	46	correlation	correlation	NOUN
brj-24395	132	47	coefficient	coefficient	NOUN
brj-24395	132	48	matrices	matrix	NOUN
brj-24395	132	49	.	.	PUNCT
brj-24395	133	1	using	use	VERB
brj-24395	133	2	these	these	DET
brj-24395	133	3	matrices	matrix	NOUN
brj-24395	133	4	,	,	PUNCT
brj-24395	133	5	hierarchical	hierarchical	ADJ
brj-24395	133	6	clustering	clustering	NOUN
brj-24395	133	7	with	with	ADP
brj-24395	133	8	the	the	DET
brj-24395	133	9	average	average	ADJ
brj-24395	133	10	distance	distance	NOUN
brj-24395	133	11	method	method	NOUN
brj-24395	133	12	was	be	AUX
brj-24395	133	13	performed	perform	VERB
brj-24395	133	14	.	.	PUNCT
brj-24395	134	1	the	the	DET
brj-24395	134	2	resulting	result	VERB
brj-24395	134	3	dendrograms	dendrogram	NOUN
brj-24395	134	4	for	for	ADP
brj-24395	134	5	intraspecific	intraspecific	NOUN
brj-24395	134	6	and	and	CCONJ
brj-24395	134	7	interspecific	interspecific	NOUN
brj-24395	134	8	clustering	clustering	NOUN
brj-24395	134	9	revealed	reveal	VERB
brj-24395	134	10	that	that	SCONJ
brj-24395	134	11	the	the	DET
brj-24395	134	12	two	two	NUM
brj-24395	134	13	wood	wood	NOUN
brj-24395	134	14	species	specie	NOUN
brj-24395	134	15	with	with	ADP
brj-24395	134	16	the	the	DET
brj-24395	134	17	largest	large	ADJ
brj-24395	134	18	intraspecific	intraspecific	NOUN
brj-24395	134	19	distances	distance	NOUN
brj-24395	134	20	were	be	AUX
brj-24395	134	21	dalbergia	dalbergia	NOUN
brj-24395	134	22	latifolia	latifolia	PROPN
brj-24395	134	23	and	and	CCONJ
brj-24395	134	24	dalbergia	dalbergia	PROPN
brj-24395	134	25	louvelii	louvelii	VERB
brj-24395	134	26	.	.	PUNCT
brj-24395	135	1	the	the	DET
brj-24395	135	2	group	group	NOUN
brj-24395	135	3	with	with	ADP
brj-24395	135	4	the	the	DET
brj-24395	135	5	smallest	small	ADJ
brj-24395	135	6	interspecific	interspecific	ADJ
brj-24395	135	7	distance	distance	NOUN
brj-24395	135	8	included	include	VERB
brj-24395	135	9	pterocarpus	pterocarpus	NOUN
brj-24395	135	10	indicus	indicus	NOUN
brj-24395	135	11	,	,	PUNCT
brj-24395	135	12	pterocarpus	pterocarpus	PROPN
brj-24395	135	13	andamanicus	andamanicus	PROPN
brj-24395	135	14	,	,	PUNCT
brj-24395	135	15	dalbergia	dalbergia	NOUN
brj-24395	135	16	cearensis	cearensis	PROPN
brj-24395	135	17	,	,	PUNCT
brj-24395	135	18	juglans	juglan	NOUN
brj-24395	135	19	nigra	nigra	NOUN
brj-24395	135	20	,	,	PUNCT
brj-24395	135	21	and	and	CCONJ
brj-24395	135	22	juglans	juglan	NOUN
brj-24395	135	23	nigra	nigra	NOUN
brj-24395	135	24	from	from	ADP
brj-24395	135	25	north	north	PROPN
brj-24395	135	26	america	america	PROPN
brj-24395	135	27	,	,	PUNCT
brj-24395	135	28	as	as	ADV
brj-24395	135	29	well	well	ADV
brj-24395	135	30	as	as	ADP
brj-24395	135	31	diospyros	diospyro	NOUN
brj-24395	135	32	ebenum	ebenum	NOUN
brj-24395	135	33	,	,	PUNCT
brj-24395	135	34	diospyros	diospyros	NOUN
brj-24395	135	35	crassiflora	crassiflora	NOUN
brj-24395	135	36	,	,	PUNCT
brj-24395	135	37	dalbergia	dalbergia	PROPN
brj-24395	135	38	louvelii	louvelii	VERB
brj-24395	135	39	,	,	PUNCT
brj-24395	135	40	machilus	machilus	ADJ
brj-24395	135	41	thunbergii	thunbergii	NOUN
brj-24395	135	42	,	,	PUNCT
brj-24395	135	43	pahudia	pahudia	PROPN
brj-24395	135	44	javanica	javanica	PROPN
brj-24395	135	45	,	,	PUNCT
brj-24395	135	46	and	and	CCONJ
brj-24395	135	47	fraxinus	fraxinus	PROPN
brj-24395	135	48	mandshurica	mandshurica	PROPN
brj-24395	135	49	.	.	PUNCT
brj-24395	136	1	peer	peer	NOUN
brj-24395	136	2	-	-	PUNCT
brj-24395	136	3	reviewed	review	VERB
brj-24395	136	4	article	article	NOUN
brj-24395	136	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24395	136	6	xin	xin	PROPN
brj-24395	136	7	et	et	PROPN
brj-24395	136	8	al	al	PROPN
brj-24395	136	9	.	.	PROPN
brj-24395	137	1	(	(	PUNCT
brj-24395	137	2	2025	2025	NUM
brj-24395	137	3	)	)	PUNCT
brj-24395	137	4	.	.	PUNCT
brj-24395	138	1	“	"	PUNCT
brj-24395	138	2	wood	wood	NOUN
brj-24395	138	3	species	specie	NOUN
brj-24395	138	4	i	i	NOUN
brj-24395	138	5	d	d	PROPN
brj-24395	138	6	by	by	ADP
brj-24395	138	7	infrared	infrared	NOUN
brj-24395	138	8	,	,	PUNCT
brj-24395	138	9	”	"	PUNCT
brj-24395	138	10	bioresources	bioresource	NOUN
brj-24395	138	11	20(2	20(2	NUM
brj-24395	138	12	)	)	PUNCT
brj-24395	138	13	,	,	PUNCT
brj-24395	138	14	4464	4464	NUM
brj-24395	138	15	-	-	SYM
brj-24395	138	16	4478	4478	NUM
brj-24395	138	17	.	.	PUNCT
brj-24395	138	18	4471	4471	NUM
brj-24395	138	19	as	as	SCONJ
brj-24395	138	20	shown	show	VERB
brj-24395	138	21	in	in	ADP
brj-24395	138	22	fig	fig	NOUN
brj-24395	138	23	.	.	PUNCT
brj-24395	139	1	3	3	NUM
brj-24395	139	2	-	-	SYM
brj-24395	139	3	a	a	PRON
brj-24395	139	4	,	,	PUNCT
brj-24395	139	5	b	b	NOUN
brj-24395	139	6	after	after	ADP
brj-24395	139	7	preprocessing	preprocessing	NOUN
brj-24395	139	8	,	,	PUNCT
brj-24395	139	9	the	the	DET
brj-24395	139	10	two	two	NUM
brj-24395	139	11	species	specie	NOUN
brj-24395	139	12	still	still	ADV
brj-24395	139	13	exhibited	exhibit	VERB
brj-24395	139	14	significant	significant	ADJ
brj-24395	139	15	intraspecific	intraspecific	NOUN
brj-24395	139	16	differences	difference	NOUN
brj-24395	139	17	,	,	PUNCT
brj-24395	139	18	primarily	primarily	ADV
brj-24395	139	19	concentrated	concentrate	VERB
brj-24395	139	20	in	in	ADP
brj-24395	139	21	two	two	NUM
brj-24395	139	22	wave	wave	NOUN
brj-24395	139	23	number	number	NOUN
brj-24395	139	24	ranges	range	NOUN
brj-24395	139	25	.	.	PUNCT
brj-24395	140	1	the	the	DET
brj-24395	140	2	first	first	ADJ
brj-24395	140	3	range	range	NOUN
brj-24395	140	4	is	be	AUX
brj-24395	140	5	between	between	ADP
brj-24395	140	6	600	600	NUM
brj-24395	140	7	to	to	PART
brj-24395	140	8	1100	1100	NUM
brj-24395	140	9	cm-1	cm-1	NOUN
brj-24395	140	10	,	,	PUNCT
brj-24395	140	11	where	where	SCONJ
brj-24395	140	12	generally	generally	ADV
brj-24395	140	13	,	,	PUNCT
brj-24395	140	14	vibrations	vibration	NOUN
brj-24395	140	15	reflecting	reflect	VERB
brj-24395	140	16	cellulose	cellulose	NOUN
brj-24395	140	17	c	c	NOUN
brj-24395	140	18	-	-	PUNCT
brj-24395	140	19	h	h	NOUN
brj-24395	140	20	deformation	deformation	NOUN
brj-24395	140	21	occur	occur	VERB
brj-24395	140	22	,	,	PUNCT
brj-24395	140	23	with	with	ADP
brj-24395	140	24	an	an	DET
brj-24395	140	25	appearance	appearance	NOUN
brj-24395	140	26	near	near	ADP
brj-24395	140	27	900	900	NUM
brj-24395	140	28	cm-1	cm-1	NOUN
brj-24395	140	29	.	.	PUNCT
brj-24395	141	1	the	the	DET
brj-24395	141	2	absorption	absorption	NOUN
brj-24395	141	3	peak	peak	NOUN
brj-24395	141	4	near	near	ADP
brj-24395	141	5	1050	1050	NUM
brj-24395	141	6	cm-1	cm-1	NOUN
brj-24395	141	7	corresponds	correspond	NOUN
brj-24395	141	8	to	to	ADP
brj-24395	141	9	the	the	DET
brj-24395	141	10	c	c	NOUN
brj-24395	141	11	-	-	PUNCT
brj-24395	141	12	o	o	NOUN
brj-24395	141	13	stretching	stretch	VERB
brj-24395	141	14	vibration	vibration	NOUN
brj-24395	141	15	in	in	ADP
brj-24395	141	16	cellulose	cellulose	NOUN
brj-24395	141	17	and	and	CCONJ
brj-24395	141	18	hemicellulose	hemicellulose	NOUN
brj-24395	141	19	.	.	PUNCT
brj-24395	142	1	the	the	DET
brj-24395	142	2	fluctuations	fluctuation	NOUN
brj-24395	142	3	in	in	ADP
brj-24395	142	4	the	the	DET
brj-24395	142	5	fingerprint	fingerprint	NOUN
brj-24395	142	6	region	region	NOUN
brj-24395	142	7	below	below	ADP
brj-24395	142	8	900	900	NUM
brj-24395	142	9	cm-1	cm-1	NOUN
brj-24395	142	10	are	be	AUX
brj-24395	142	11	often	often	ADV
brj-24395	142	12	influenced	influence	VERB
brj-24395	142	13	by	by	ADP
brj-24395	142	14	c	c	PROPN
brj-24395	142	15	-	-	PUNCT
brj-24395	142	16	h	h	NOUN
brj-24395	142	17	bonds	bond	NOUN
brj-24395	142	18	in	in	ADP
brj-24395	142	19	special	special	ADJ
brj-24395	142	20	structures	structure	NOUN
brj-24395	142	21	,	,	PUNCT
brj-24395	142	22	such	such	ADJ
brj-24395	142	23	as	as	ADP
brj-24395	142	24	the	the	DET
brj-24395	142	25	aromatic	aromatic	ADJ
brj-24395	142	26	ring	ring	NOUN
brj-24395	142	27	c	c	NOUN
brj-24395	142	28	-	-	PUNCT
brj-24395	142	29	h	h	NOUN
brj-24395	142	30	stretching	stretching	NOUN
brj-24395	142	31	near	near	ADP
brj-24395	142	32	850	850	NUM
brj-24395	142	33	cm-1	cm-1	NOUN
brj-24395	142	34	.	.	PUNCT
brj-24395	143	1	the	the	DET
brj-24395	143	2	second	second	ADJ
brj-24395	143	3	range	range	NOUN
brj-24395	143	4	is	be	AUX
brj-24395	143	5	between	between	ADP
brj-24395	143	6	1850	1850	NUM
brj-24395	143	7	and	and	CCONJ
brj-24395	143	8	2800	2800	NUM
brj-24395	143	9	cm-1	cm-1	NOUN
brj-24395	143	10	,	,	PUNCT
brj-24395	143	11	where	where	SCONJ
brj-24395	143	12	the	the	DET
brj-24395	143	13	spectrum	spectrum	NOUN
brj-24395	143	14	is	be	AUX
brj-24395	143	15	relatively	relatively	ADV
brj-24395	143	16	smooth	smooth	ADJ
brj-24395	143	17	with	with	ADP
brj-24395	143	18	fewer	few	ADJ
brj-24395	143	19	absorption	absorption	NOUN
brj-24395	143	20	peaks	peak	NOUN
brj-24395	143	21	.	.	PUNCT
brj-24395	144	1	there	there	PRON
brj-24395	144	2	is	be	VERB
brj-24395	144	3	a	a	DET
brj-24395	144	4	fixed	fix	VERB
brj-24395	144	5	envelope	envelope	NOUN
brj-24395	144	6	near	near	ADP
brj-24395	144	7	2100	2100	NUM
brj-24395	144	8	cm-1	cm-1	NOUN
brj-24395	144	9	,	,	PUNCT
brj-24395	144	10	which	which	PRON
brj-24395	144	11	,	,	PUNCT
brj-24395	144	12	as	as	SCONJ
brj-24395	144	13	it	it	PRON
brj-24395	144	14	is	be	AUX
brj-24395	144	15	not	not	PART
brj-24395	144	16	mentioned	mention	VERB
brj-24395	144	17	in	in	ADP
brj-24395	144	18	other	other	ADJ
brj-24395	144	19	wood	wood	NOUN
brj-24395	144	20	-	-	PUNCT
brj-24395	144	21	related	relate	VERB
brj-24395	144	22	studies	study	NOUN
brj-24395	144	23	,	,	PUNCT
brj-24395	144	24	is	be	AUX
brj-24395	144	25	speculated	speculate	VERB
brj-24395	144	26	to	to	PART
brj-24395	144	27	be	be	AUX
brj-24395	144	28	due	due	ADJ
brj-24395	144	29	to	to	PART
brj-24395	144	30	c	c	NOUN
brj-24395	144	31	=	=	NOUN
brj-24395	144	32	o	o	X
brj-24395	144	33	(	(	PUNCT
brj-24395	144	34	carbonyl	carbonyl	NOUN
brj-24395	144	35	)	)	PUNCT
brj-24395	144	36	from	from	ADP
brj-24395	144	37	the	the	DET
brj-24395	144	38	benzene	benzene	NOUN
brj-24395	144	39	ring	ring	NOUN
brj-24395	144	40	of	of	ADP
brj-24395	144	41	specific	specific	ADJ
brj-24395	144	42	lignin	lignin	NOUN
brj-24395	144	43	monomers	monomer	NOUN
brj-24395	144	44	(	(	PUNCT
brj-24395	144	45	such	such	ADJ
brj-24395	144	46	as	as	ADP
brj-24395	144	47	p	p	NOUN
brj-24395	144	48	-	-	PUNCT
brj-24395	144	49	coumaric	coumaric	ADJ
brj-24395	144	50	acid	acid	NOUN
brj-24395	144	51	)	)	PUNCT
brj-24395	144	52	or	or	CCONJ
brj-24395	144	53	the	the	DET
brj-24395	144	54	carbonyl	carbonyl	NOUN
brj-24395	144	55	on	on	ADP
brj-24395	144	56	the	the	DET
brj-24395	144	57	pyran	pyran	ADJ
brj-24395	144	58	ring	ring	NOUN
brj-24395	144	59	in	in	ADP
brj-24395	144	60	cellulose	cellulose	NOUN
brj-24395	144	61	carbonyl	carbonyl	NOUN
brj-24395	144	62	.	.	PUNCT
brj-24395	145	1	this	this	PRON
brj-24395	145	2	deviates	deviate	VERB
brj-24395	145	3	from	from	ADP
brj-24395	145	4	the	the	DET
brj-24395	145	5	original	original	ADJ
brj-24395	145	6	position	position	NOUN
brj-24395	145	7	.	.	PUNCT
brj-24395	146	1	as	as	SCONJ
brj-24395	146	2	shown	show	VERB
brj-24395	146	3	in	in	ADP
brj-24395	146	4	fig	fig	NOUN
brj-24395	146	5	.	.	PUNCT
brj-24395	147	1	3	3	NUM
brj-24395	147	2	-	-	SYM
brj-24395	147	3	c	c	NOUN
brj-24395	147	4	,	,	PUNCT
brj-24395	147	5	d	d	PROPN
brj-24395	147	6	,	,	PUNCT
brj-24395	147	7	the	the	DET
brj-24395	147	8	interspecific	interspecific	ADJ
brj-24395	147	9	differences	difference	NOUN
brj-24395	147	10	between	between	ADP
brj-24395	147	11	different	different	ADJ
brj-24395	147	12	species	specie	NOUN
brj-24395	147	13	were	be	AUX
brj-24395	147	14	relatively	relatively	ADV
brj-24395	147	15	small	small	ADJ
brj-24395	147	16	after	after	ADP
brj-24395	147	17	preprocessing	preprocesse	VERB
brj-24395	147	18	,	,	PUNCT
brj-24395	147	19	mainly	mainly	ADV
brj-24395	147	20	concentrated	concentrate	VERB
brj-24395	147	21	in	in	ADP
brj-24395	147	22	two	two	NUM
brj-24395	147	23	wave	wave	NOUN
brj-24395	147	24	number	number	NOUN
brj-24395	147	25	ranges	range	NOUN
brj-24395	147	26	.	.	PUNCT
brj-24395	148	1	the	the	DET
brj-24395	148	2	first	first	ADJ
brj-24395	148	3	range	range	NOUN
brj-24395	148	4	is	be	AUX
brj-24395	148	5	between	between	ADP
brj-24395	148	6	1100	1100	NUM
brj-24395	148	7	and	and	CCONJ
brj-24395	148	8	1600	1600	NUM
brj-24395	148	9	cm-1	cm-1	NOUN
brj-24395	148	10	,	,	PUNCT
brj-24395	148	11	where	where	SCONJ
brj-24395	148	12	there	there	PRON
brj-24395	148	13	are	be	VERB
brj-24395	148	14	more	more	ADV
brj-24395	148	15	complex	complex	ADJ
brj-24395	148	16	molecular	molecular	ADJ
brj-24395	148	17	bond	bond	NOUN
brj-24395	148	18	vibrations	vibration	NOUN
brj-24395	148	19	,	,	PUNCT
brj-24395	148	20	including	include	VERB
brj-24395	148	21	c	c	NOUN
brj-24395	148	22	=	=	SYM
brj-24395	148	23	o	o	NOUN
brj-24395	148	24	,	,	PUNCT
brj-24395	148	25	aromatic	aromatic	ADJ
brj-24395	148	26	,	,	PUNCT
brj-24395	148	27	and	and	CCONJ
brj-24395	148	28	c	c	X
brj-24395	148	29	-	-	PUNCT
brj-24395	148	30	o	o	NOUN
brj-24395	148	31	stretching	stretch	VERB
brj-24395	148	32	vibrations	vibration	NOUN
brj-24395	148	33	,	,	PUNCT
brj-24395	148	34	as	as	ADV
brj-24395	148	35	well	well	ADV
brj-24395	148	36	as	as	ADP
brj-24395	148	37	alkyl	alkyl	ADJ
brj-24395	148	38	vibrations	vibration	NOUN
brj-24395	148	39	on	on	ADP
brj-24395	148	40	different	different	ADJ
brj-24395	148	41	carbon	carbon	NOUN
brj-24395	148	42	chains	chain	NOUN
brj-24395	148	43	.	.	PUNCT
brj-24395	149	1	the	the	DET
brj-24395	149	2	1100	1100	NUM
brj-24395	149	3	to	to	ADP
brj-24395	149	4	1600	1600	NUM
brj-24395	149	5	cm-1	cm-1	NOUN
brj-24395	149	6	range	range	NOUN
brj-24395	149	7	mainly	mainly	ADV
brj-24395	149	8	involves	involve	VERB
brj-24395	149	9	lignin	lignin	NOUN
brj-24395	149	10	aromatic	aromatic	ADJ
brj-24395	149	11	ring	ring	NOUN
brj-24395	149	12	skeleton	skeleton	NOUN
brj-24395	149	13	stretching	stretch	VERB
brj-24395	149	14	vibrations	vibration	NOUN
brj-24395	149	15	and	and	CCONJ
brj-24395	149	16	c	c	NOUN
brj-24395	149	17	=	=	SYM
brj-24395	149	18	o	o	NOUN
brj-24395	149	19	,	,	PUNCT
brj-24395	149	20	c	c	NOUN
brj-24395	149	21	-	-	PUNCT
brj-24395	149	22	o	o	NOUN
brj-24395	149	23	-	-	NOUN
brj-24395	149	24	c	c	NOUN
brj-24395	149	25	,	,	PUNCT
brj-24395	149	26	methyl	methyl	NOUN
brj-24395	149	27	c	c	X
brj-24395	149	28	-	-	PUNCT
brj-24395	149	29	h	h	NOUN
brj-24395	149	30	stretching	stretch	VERB
brj-24395	149	31	deformation	deformation	NOUN
brj-24395	149	32	vibrations	vibration	NOUN
brj-24395	149	33	in	in	ADP
brj-24395	149	34	lignin	lignin	NOUN
brj-24395	149	35	and	and	CCONJ
brj-24395	149	36	cellulose	cellulose	NOUN
brj-24395	149	37	.	.	PUNCT
brj-24395	150	1	the	the	DET
brj-24395	150	2	peak	peak	NOUN
brj-24395	150	3	segment	segment	NOUN
brj-24395	150	4	between	between	ADP
brj-24395	150	5	1032	1032	NUM
brj-24395	150	6	and	and	CCONJ
brj-24395	150	7	1037	1037	NUM
brj-24395	150	8	cm-1	cm-1	VERB
brj-24395	150	9	is	be	AUX
brj-24395	150	10	primarily	primarily	ADV
brj-24395	150	11	due	due	ADJ
brj-24395	150	12	to	to	ADP
brj-24395	150	13	lignin	lignin	NOUN
brj-24395	150	14	aromatic	aromatic	ADJ
brj-24395	150	15	c	c	NOUN
brj-24395	150	16	-	-	NOUN
brj-24395	150	17	h	h	NOUN
brj-24395	150	18	in	in	ADP
brj-24395	150	19	-	-	PUNCT
brj-24395	150	20	plane	plane	NOUN
brj-24395	150	21	deformation	deformation	NOUN
brj-24395	150	22	,	,	PUNCT
brj-24395	150	23	in	in	ADP
brj-24395	150	24	-	-	PUNCT
brj-24395	150	25	plane	plane	NOUN
brj-24395	150	26	bending	bending	NOUN
brj-24395	150	27	,	,	PUNCT
brj-24395	150	28	c	c	NOUN
brj-24395	150	29	-	-	PUNCT
brj-24395	150	30	o	o	NOUN
brj-24395	150	31	deformation	deformation	NOUN
brj-24395	150	32	in	in	ADP
brj-24395	150	33	primary	primary	ADJ
brj-24395	150	34	alcohols	alcohol	NOUN
brj-24395	150	35	,	,	PUNCT
brj-24395	150	36	and	and	CCONJ
brj-24395	150	37	non	non	ADJ
brj-24395	150	38	-	-	ADJ
brj-24395	150	39	conjugated	conjugated	ADJ
brj-24395	150	40	c	c	NOUN
brj-24395	150	41	=	=	NOUN
brj-24395	150	42	o	o	NOUN
brj-24395	150	43	stretching	stretching	NOUN
brj-24395	150	44	.	.	PUNCT
brj-24395	151	1	the	the	DET
brj-24395	151	2	1245	1245	NUM
brj-24395	151	3	cm-1	cm-1	NOUN
brj-24395	151	4	corresponds	correspond	NOUN
brj-24395	151	5	to	to	ADP
brj-24395	151	6	lignin	lignin	NOUN
brj-24395	151	7	syringyl	syringyl	NOUN
brj-24395	151	8	ring	ring	NOUN
brj-24395	151	9	vibration	vibration	NOUN
brj-24395	151	10	,	,	PUNCT
brj-24395	151	11	and	and	CCONJ
brj-24395	151	12	1266	1266	NUM
brj-24395	151	13	cm-1	cm-1	VERB
brj-24395	151	14	is	be	AUX
brj-24395	151	15	the	the	DET
brj-24395	151	16	guaiacyl	guaiacyl	NOUN
brj-24395	151	17	ring	ring	NOUN
brj-24395	151	18	plus	plus	CCONJ
brj-24395	151	19	c	c	NOUN
brj-24395	151	20	-	-	PUNCT
brj-24395	151	21	o	o	NOUN
brj-24395	151	22	stretching	stretch	VERB
brj-24395	151	23	vibration	vibration	NOUN
brj-24395	151	24	.	.	PUNCT
brj-24395	152	1	the	the	DET
brj-24395	152	2	1630	1630	NUM
brj-24395	152	3	to	to	ADP
brj-24395	152	4	1660	1660	NUM
brj-24395	152	5	cm-1	cm-1	NOUN
brj-24395	152	6	range	range	NOUN
brj-24395	152	7	corresponds	correspond	NOUN
brj-24395	152	8	to	to	ADP
brj-24395	152	9	the	the	DET
brj-24395	152	10	vibration	vibration	NOUN
brj-24395	152	11	of	of	ADP
brj-24395	152	12	amino	amino	ADJ
brj-24395	152	13	compounds	compound	NOUN
brj-24395	152	14	in	in	ADP
brj-24395	152	15	protein	protein	NOUN
brj-24395	152	16	peptides	peptide	NOUN
brj-24395	152	17	.	.	PUNCT
brj-24395	153	1	the	the	DET
brj-24395	153	2	second	second	ADJ
brj-24395	153	3	range	range	NOUN
brj-24395	153	4	is	be	AUX
brj-24395	153	5	at	at	ADP
brj-24395	153	6	3000	3000	NUM
brj-24395	153	7	cm-1	cm-1	NOUN
brj-24395	153	8	.	.	PUNCT
brj-24395	153	9	table	table	NOUN
brj-24395	153	10	2	2	NUM
brj-24395	153	11	.	.	PUNCT
brj-24395	153	12	wood	wood	NOUN
brj-24395	153	13	ir	ir	PROPN
brj-24395	153	14	vibrational	vibrational	PROPN
brj-24395	153	15	spectrum	spectrum	NOUN
brj-24395	153	16	and	and	CCONJ
brj-24395	153	17	wavenumber	wavenumber	NOUN
brj-24395	153	18	reference	reference	NOUN
brj-24395	153	19	table	table	NOUN
brj-24395	154	1	no	no	INTJ
brj-24395	154	2	.	.	PUNCT
brj-24395	154	3	wavenumber	wavenumber	PROPN
brj-24395	154	4	(	(	PUNCT
brj-24395	154	5	cm-1	cm-1	NOUN
brj-24395	154	6	)	)	PUNCT
brj-24395	154	7	vibration	vibration	NOUN
brj-24395	154	8	1	1	NUM
brj-24395	154	9	835	835	NUM
brj-24395	154	10	cellulose	cellulose	NOUN
brj-24395	154	11	β	β	NOUN
brj-24395	154	12	-	-	NOUN
brj-24395	154	13	chain	chain	NOUN
brj-24395	154	14	,	,	PUNCT
brj-24395	154	15	stretching	stretch	VERB
brj-24395	154	16	of	of	ADP
brj-24395	154	17	c	c	NOUN
brj-24395	154	18	-	-	PUNCT
brj-24395	154	19	h	h	NOUN
brj-24395	154	20	bonds	bond	NOUN
brj-24395	154	21	extending	extend	VERB
brj-24395	154	22	out	out	ADP
brj-24395	154	23	of	of	ADP
brj-24395	154	24	the	the	DET
brj-24395	154	25	aromatic	aromatic	ADJ
brj-24395	154	26	ring	ring	NOUN
brj-24395	154	27	plane	plane	NOUN
brj-24395	154	28	2	2	NUM
brj-24395	154	29	898	898	NUM
brj-24395	154	30	cellulose	cellulose	NOUN
brj-24395	154	31	p	p	NOUN
brj-24395	154	32	-	-	PUNCT
brj-24395	154	33	chain	chain	NOUN
brj-24395	154	34	,	,	PUNCT
brj-24395	154	35	stretching	stretch	VERB
brj-24395	154	36	of	of	ADP
brj-24395	154	37	c	c	NOUN
brj-24395	154	38	-	-	PUNCT
brj-24395	154	39	h	h	NOUN
brj-24395	154	40	bonds	bond	NOUN
brj-24395	154	41	extending	extend	VERB
brj-24395	154	42	out	out	ADP
brj-24395	154	43	of	of	ADP
brj-24395	154	44	the	the	DET
brj-24395	154	45	aromatic	aromatic	ADJ
brj-24395	154	46	ring	ring	NOUN
brj-24395	154	47	plane	plane	NOUN
brj-24395	154	48	3	3	NUM
brj-24395	154	49	1030	1030	NUM
brj-24395	154	50	c	c	NOUN
brj-24395	154	51	-	-	PUNCT
brj-24395	154	52	o	o	NOUN
brj-24395	154	53	vibration	vibration	NOUN
brj-24395	154	54	in	in	ADP
brj-24395	154	55	secondary	secondary	ADJ
brj-24395	154	56	alcohols	alcohol	NOUN
brj-24395	154	57	and	and	CCONJ
brj-24395	154	58	fatty	fatty	NOUN
brj-24395	154	59	ethers	ether	NOUN
brj-24395	154	60	4	4	NUM
brj-24395	154	61	1160	1160	NUM
brj-24395	154	62	c	c	NOUN
brj-24395	154	63	-	-	PUNCT
brj-24395	154	64	o	o	NOUN
brj-24395	154	65	-	-	NOUN
brj-24395	154	66	c	c	NOUN
brj-24395	154	67	stretching	stretching	NOUN
brj-24395	154	68	in	in	ADP
brj-24395	154	69	the	the	DET
brj-24395	154	70	pyran	pyran	ADJ
brj-24395	154	71	ring	ring	NOUN
brj-24395	154	72	,	,	PUNCT
brj-24395	154	73	c	c	PROPN
brj-24395	154	74	=	=	X
brj-24395	154	75	o	o	X
brj-24395	154	76	stretching	stretch	VERB
brj-24395	154	77	in	in	ADP
brj-24395	154	78	aliphatic	aliphatic	ADJ
brj-24395	154	79	groups	group	NOUN
brj-24395	154	80	5	5	NUM
brj-24395	154	81	1230	1230	NUM
brj-24395	154	82	c	c	NOUN
brj-24395	154	83	-	-	PUNCT
brj-24395	154	84	o	o	NOUN
brj-24395	154	85	-	-	NOUN
brj-24395	154	86	c	c	ADJ
brj-24395	154	87	stretching	stretching	NOUN
brj-24395	154	88	of	of	ADP
brj-24395	154	89	phenol	phenol	ADJ
brj-24395	154	90	ether	ether	NOUN
brj-24395	154	91	bonds	bond	NOUN
brj-24395	154	92	in	in	ADP
brj-24395	154	93	lignin	lignin	PROPN
brj-24395	154	94	6	6	NUM
brj-24395	154	95	1260	1260	NUM
brj-24395	154	96	guaiacol	guaiacol	NOUN
brj-24395	154	97	ring	ring	NOUN
brj-24395	154	98	c	c	NOUN
brj-24395	154	99	–	–	PUNCT
brj-24395	154	100	n	n	CCONJ
brj-24395	154	101	–	–	PUNCT
brj-24395	154	102	h	h	NOUN
brj-24395	154	103	stretching	stretch	VERB
brj-24395	154	104	vibration	vibration	NOUN
brj-24395	154	105	in	in	ADP
brj-24395	154	106	lignin	lignin	PROPN
brj-24395	154	107	7	7	NUM
brj-24395	154	108	1270	1270	NUM
brj-24395	154	109	stretching	stretching	NOUN
brj-24395	154	110	of	of	ADP
brj-24395	154	111	guaiacyl	guaiacyl	NOUN
brj-24395	154	112	unit	unit	NOUN
brj-24395	154	113	g	g	PROPN
brj-24395	154	114	ring	ring	NOUN
brj-24395	154	115	and	and	CCONJ
brj-24395	154	116	o	o	NOUN
brj-24395	154	117	-	-	ADJ
brj-24395	154	118	c	c	NOUN
brj-24395	154	119	-	-	PUNCT
brj-24395	154	120	o	o	NOUN
brj-24395	154	121	8	8	NUM
brj-24395	154	122	1317	1317	NUM
brj-24395	154	123	connecting	connect	VERB
brj-24395	154	124	bond	bond	NOUN
brj-24395	154	125	between	between	ADP
brj-24395	154	126	guaiacyl	guaiacyl	NOUN
brj-24395	154	127	unit	unit	NOUN
brj-24395	154	128	and	and	CCONJ
brj-24395	154	129	coniferyl	coniferyl	PROPN
brj-24395	154	130	unit	unit	NOUN
brj-24395	154	131	,	,	PUNCT
brj-24395	154	132	bending	bend	VERB
brj-24395	154	133	and	and	CCONJ
brj-24395	154	134	stretching	stretching	NOUN
brj-24395	154	135	of	of	ADP
brj-24395	154	136	coniferyl	coniferyl	NOUN
brj-24395	154	137	unit	unit	NOUN
brj-24395	154	138	and	and	CCONJ
brj-24395	154	139	ch2	ch2	PROPN
brj-24395	154	140	9	9	NUM
brj-24395	154	141	1375	1375	NUM
brj-24395	154	142	o	o	NOUN
brj-24395	154	143	-	-	NOUN
brj-24395	154	144	h	h	NOUN
brj-24395	154	145	in	in	ADP
brj-24395	154	146	methyl	methyl	NOUN
brj-24395	154	147	and	and	CCONJ
brj-24395	154	148	phenol	phenol	NOUN
brj-24395	154	149	,	,	PUNCT
brj-24395	154	150	and	and	CCONJ
brj-24395	154	151	aliphatic	aliphatic	ADJ
brj-24395	154	152	c	c	NOUN
brj-24395	154	153	-	-	PUNCT
brj-24395	154	154	h	h	NOUN
brj-24395	154	155	stretching	stretch	VERB
brj-24395	154	156	vibration	vibration	NOUN
brj-24395	154	157	10	10	NUM
brj-24395	154	158	1425	1425	NUM
brj-24395	154	159	stretching	stretch	VERB
brj-24395	154	160	vibration	vibration	NOUN
brj-24395	154	161	of	of	ADP
brj-24395	154	162	c	c	NOUN
brj-24395	154	163	-	-	PUNCT
brj-24395	154	164	h	h	NOUN
brj-24395	154	165	in	in	ADP
brj-24395	154	166	-	-	PUNCT
brj-24395	154	167	plane	plane	NOUN
brj-24395	154	168	bound	bind	VERB
brj-24395	154	169	to	to	ADP
brj-24395	154	170	the	the	DET
brj-24395	154	171	aromatic	aromatic	ADJ
brj-24395	154	172	skeleton	skeleton	NOUN
brj-24395	154	173	11	11	NUM
brj-24395	154	174	1463	1463	NUM
brj-24395	154	175	stretching	stretch	VERB
brj-24395	154	176	vibration	vibration	NOUN
brj-24395	154	177	of	of	ADP
brj-24395	154	178	ch2	ch2	PROPN
brj-24395	154	179	in	in	ADP
brj-24395	154	180	lignin	lignin	PROPN
brj-24395	154	181	and	and	CCONJ
brj-24395	154	182	xylan	xylan	NOUN
brj-24395	154	183	12	12	NUM
brj-24395	154	184	1510	1510	NUM
brj-24395	154	185	aromatic	aromatic	ADJ
brj-24395	154	186	skeleton	skeleton	NOUN
brj-24395	154	187	stretching	stretch	VERB
brj-24395	154	188	13	13	NUM
brj-24395	154	189	1619	1619	NUM
brj-24395	154	190	/	/	SYM
brj-24395	154	191	1640	1640	NUM
brj-24395	154	192	c	c	X
brj-24395	154	193	=	=	NOUN
brj-24395	154	194	o	o	NOUN
brj-24395	154	195	stretching	stretch	VERB
brj-24395	154	196	vibration	vibration	NOUN
brj-24395	154	197	in	in	ADP
brj-24395	154	198	coumarin	coumarin	NOUN
brj-24395	154	199	14	14	NUM
brj-24395	154	200	1740	1740	NUM
brj-24395	154	201	c	c	X
brj-24395	154	202	=	=	X
brj-24395	154	203	o	o	NOUN
brj-24395	154	204	stretching	stretch	VERB
brj-24395	154	205	vibration	vibration	NOUN
brj-24395	154	206	in	in	ADP
brj-24395	154	207	unconjugated	unconjugated	ADJ
brj-24395	154	208	ketones	ketone	NOUN
brj-24395	154	209	,	,	PUNCT
brj-24395	154	210	carbonyls	carbonyls	NOUN
brj-24395	154	211	,	,	PUNCT
brj-24395	154	212	and	and	CCONJ
brj-24395	154	213	aliphatic	aliphatic	ADJ
brj-24395	154	214	groups	group	NOUN
brj-24395	154	215	(	(	PUNCT
brj-24395	154	216	xylan	xylan	NOUN
brj-24395	154	217	)	)	PUNCT
brj-24395	154	218	15	15	NUM
brj-24395	154	219	2930	2930	NUM
brj-24395	154	220	c	c	NOUN
brj-24395	154	221	-	-	PUNCT
brj-24395	154	222	h	h	NOUN
brj-24395	154	223	stretching	stretch	VERB
brj-24395	154	224	vibration	vibration	NOUN
brj-24395	154	225	in	in	ADP
brj-24395	154	226	methyl	methyl	NOUN
brj-24395	154	227	and	and	CCONJ
brj-24395	154	228	methylene	methylene	NOUN
brj-24395	154	229	groups	group	NOUN
brj-24395	154	230	16	16	NUM
brj-24395	154	231	3400	3400	NUM
brj-24395	155	1	o	o	NOUN
brj-24395	155	2	-	-	ADJ
brj-24395	155	3	h	h	ADJ
brj-24395	155	4	stretching	stretch	VERB
brj-24395	155	5	vibration	vibration	NOUN
brj-24395	155	6	in	in	ADP
brj-24395	155	7	hydroxyl	hydroxyl	NOUN
brj-24395	155	8	groups	group	NOUN
brj-24395	155	9	peer	peer	NOUN
brj-24395	155	10	-	-	PUNCT
brj-24395	155	11	reviewed	review	VERB
brj-24395	155	12	article	article	NOUN
brj-24395	155	13	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24395	155	14	xin	xin	PROPN
brj-24395	155	15	et	et	PROPN
brj-24395	155	16	al	al	PROPN
brj-24395	155	17	.	.	PROPN
brj-24395	156	1	(	(	PUNCT
brj-24395	156	2	2025	2025	NUM
brj-24395	156	3	)	)	PUNCT
brj-24395	156	4	.	.	PUNCT
brj-24395	157	1	“	"	PUNCT
brj-24395	157	2	wood	wood	NOUN
brj-24395	157	3	species	specie	NOUN
brj-24395	157	4	i	i	NOUN
brj-24395	157	5	d	d	PROPN
brj-24395	157	6	by	by	ADP
brj-24395	157	7	infrared	infrared	NOUN
brj-24395	157	8	,	,	PUNCT
brj-24395	157	9	”	"	PUNCT
brj-24395	157	10	bioresources	bioresource	NOUN
brj-24395	157	11	20(2	20(2	NUM
brj-24395	157	12	)	)	PUNCT
brj-24395	157	13	,	,	PUNCT
brj-24395	157	14	4464	4464	NUM
brj-24395	157	15	-	-	SYM
brj-24395	157	16	4478	4478	NUM
brj-24395	157	17	.	.	PUNCT
brj-24395	157	18	4472	4472	NUM
brj-24395	157	19	by	by	ADP
brj-24395	157	20	synthesizing	synthesize	VERB
brj-24395	157	21	the	the	DET
brj-24395	157	22	display	display	NOUN
brj-24395	157	23	of	of	ADP
brj-24395	157	24	both	both	DET
brj-24395	157	25	interspecific	interspecific	NOUN
brj-24395	157	26	and	and	CCONJ
brj-24395	157	27	intraspecific	intraspecific	NOUN
brj-24395	157	28	differences	difference	NOUN
brj-24395	157	29	above	above	ADV
brj-24395	157	30	,	,	PUNCT
brj-24395	157	31	one	one	PRON
brj-24395	157	32	can	can	AUX
brj-24395	157	33	observe	observe	VERB
brj-24395	157	34	that	that	SCONJ
brj-24395	157	35	these	these	DET
brj-24395	157	36	differences	difference	NOUN
brj-24395	157	37	mostly	mostly	ADV
brj-24395	157	38	do	do	AUX
brj-24395	157	39	not	not	PART
brj-24395	157	40	overlap	overlap	VERB
brj-24395	157	41	.	.	PUNCT
brj-24395	158	1	therefore	therefore	ADV
brj-24395	158	2	,	,	PUNCT
brj-24395	158	3	it	it	PRON
brj-24395	158	4	is	be	AUX
brj-24395	158	5	not	not	PART
brj-24395	158	6	difficult	difficult	ADJ
brj-24395	158	7	to	to	PART
brj-24395	158	8	distinguish	distinguish	VERB
brj-24395	158	9	different	different	ADJ
brj-24395	158	10	types	type	NOUN
brj-24395	158	11	of	of	ADP
brj-24395	158	12	wood	wood	NOUN
brj-24395	158	13	using	use	VERB
brj-24395	158	14	spectroscopy	spectroscopy	NOUN
brj-24395	158	15	.	.	PUNCT
brj-24395	159	1	as	as	ADV
brj-24395	159	2	long	long	ADV
brj-24395	159	3	as	as	SCONJ
brj-24395	159	4	the	the	DET
brj-24395	159	5	model	model	NOUN
brj-24395	159	6	training	training	NOUN
brj-24395	159	7	process	process	NOUN
brj-24395	159	8	focuses	focus	VERB
brj-24395	159	9	on	on	ADP
brj-24395	159	10	the	the	DET
brj-24395	159	11	characteristic	characteristic	ADJ
brj-24395	159	12	information	information	NOUN
brj-24395	159	13	of	of	ADP
brj-24395	159	14	the	the	DET
brj-24395	159	15	corresponding	corresponding	ADJ
brj-24395	159	16	wavebands	waveband	NOUN
brj-24395	159	17	and	and	CCONJ
brj-24395	159	18	uses	use	VERB
brj-24395	159	19	it	it	PRON
brj-24395	159	20	as	as	ADP
brj-24395	159	21	a	a	DET
brj-24395	159	22	basis	basis	NOUN
brj-24395	159	23	,	,	PUNCT
brj-24395	159	24	the	the	DET
brj-24395	159	25	accuracy	accuracy	NOUN
brj-24395	159	26	of	of	ADP
brj-24395	159	27	the	the	DET
brj-24395	159	28	classification	classification	NOUN
brj-24395	159	29	results	result	NOUN
brj-24395	159	30	can	can	AUX
brj-24395	159	31	be	be	AUX
brj-24395	159	32	ensured	ensure	VERB
brj-24395	159	33	.	.	PUNCT
brj-24395	160	1	this	this	PRON
brj-24395	160	2	also	also	ADV
brj-24395	160	3	provides	provide	VERB
brj-24395	160	4	a	a	DET
brj-24395	160	5	basis	basis	NOUN
brj-24395	160	6	for	for	ADP
brj-24395	160	7	the	the	DET
brj-24395	160	8	subsequent	subsequent	ADJ
brj-24395	160	9	use	use	NOUN
brj-24395	160	10	of	of	ADP
brj-24395	160	11	the	the	DET
brj-24395	160	12	sknet	sknet	NOUN
brj-24395	160	13	network	network	NOUN
brj-24395	160	14	with	with	ADP
brj-24395	160	15	a	a	DET
brj-24395	160	16	self	self	NOUN
brj-24395	160	17	-	-	PUNCT
brj-24395	160	18	attention	attention	NOUN
brj-24395	160	19	mechanism	mechanism	NOUN
brj-24395	160	20	.	.	PUNCT
brj-24395	161	1	all	all	DET
brj-24395	161	2	observed	observed	ADJ
brj-24395	161	3	signal	signal	NOUN
brj-24395	161	4	peaks	peak	NOUN
brj-24395	161	5	wavenumber	wavenumber	NOUN
brj-24395	161	6	and	and	CCONJ
brj-24395	161	7	their	their	PRON
brj-24395	161	8	corresponding	correspond	VERB
brj-24395	161	9	positions	position	NOUN
brj-24395	161	10	are	be	AUX
brj-24395	161	11	recorded	record	VERB
brj-24395	161	12	in	in	ADP
brj-24395	161	13	table	table	NOUN
brj-24395	161	14	1	1	NUM
brj-24395	161	15	(	(	PUNCT
brj-24395	161	16	huang	huang	PROPN
brj-24395	161	17	et	et	PROPN
brj-24395	161	18	al	al	PROPN
brj-24395	161	19	.	.	PROPN
brj-24395	161	20	2008	2008	NUM
brj-24395	161	21	;	;	PUNCT
brj-24395	161	22	li	li	PROPN
brj-24395	161	23	et	et	PROPN
brj-24395	161	24	al	al	PROPN
brj-24395	161	25	.	.	PROPN
brj-24395	161	26	2015	2015	NUM
brj-24395	161	27	;	;	PUNCT
brj-24395	161	28	shi	shi	PROPN
brj-24395	161	29	et	et	PROPN
brj-24395	161	30	al	al	PROPN
brj-24395	161	31	.	.	PROPN
brj-24395	161	32	2018	2018	NUM
brj-24395	161	33	;	;	PUNCT
brj-24395	161	34	liu	liu	PROPN
brj-24395	161	35	et	et	PROPN
brj-24395	161	36	al	al	PROPN
brj-24395	161	37	.	.	PROPN
brj-24395	161	38	2024	2024	NUM
brj-24395	161	39	)	)	PUNCT
brj-24395	161	40	.	.	PUNCT
brj-24395	162	1	fig	fig	NOUN
brj-24395	162	2	.	.	PUNCT
brj-24395	163	1	3	3	X
brj-24395	163	2	.	.	X
brj-24395	163	3	ft	ft	PROPN
brj-24395	163	4	-	-	PUNCT
brj-24395	163	5	ir	ir	NOUN
brj-24395	163	6	interspecific	interspecific	NOUN
brj-24395	163	7	and	and	CCONJ
brj-24395	163	8	intraspecific	intraspecific	NOUN
brj-24395	163	9	signal	signal	NOUN
brj-24395	163	10	difference	difference	NOUN
brj-24395	163	11	comparison	comparison	NOUN
brj-24395	163	12	chart	chart	NOUN
brj-24395	163	13	mtf	mtf	PROPN
brj-24395	163	14	four	four	NUM
brj-24395	163	15	common	common	ADJ
brj-24395	163	16	methods	method	NOUN
brj-24395	163	17	for	for	ADP
brj-24395	163	18	transforming	transform	VERB
brj-24395	163	19	one	one	NUM
brj-24395	163	20	-	-	PUNCT
brj-24395	163	21	dimensional	dimensional	ADJ
brj-24395	163	22	mid	mid	ADJ
brj-24395	163	23	-	-	ADJ
brj-24395	163	24	infrared	infrared	ADJ
brj-24395	163	25	data	datum	NOUN
brj-24395	163	26	into	into	ADP
brj-24395	163	27	two	two	NUM
brj-24395	163	28	dimensions	dimension	NOUN
brj-24395	163	29	were	be	AUX
brj-24395	163	30	compared	compare	VERB
brj-24395	163	31	:	:	PUNCT
brj-24395	163	32	gramian	gramian	ADJ
brj-24395	163	33	angular	angular	ADJ
brj-24395	163	34	field	field	NOUN
brj-24395	163	35	(	(	PUNCT
brj-24395	163	36	gaf	gaf	PROPN
brj-24395	163	37	)	)	PUNCT
brj-24395	163	38	,	,	PUNCT
brj-24395	163	39	markov	markov	NOUN
brj-24395	163	40	transition	transition	NOUN
brj-24395	163	41	field	field	NOUN
brj-24395	163	42	(	(	PUNCT
brj-24395	163	43	mtf	mtf	NOUN
brj-24395	163	44	)	)	PUNCT
brj-24395	163	45	,	,	PUNCT
brj-24395	163	46	recurrence	recurrence	NOUN
brj-24395	163	47	plot	plot	NOUN
brj-24395	163	48	(	(	PUNCT
brj-24395	163	49	rp	rp	NOUN
brj-24395	163	50	)	)	PUNCT
brj-24395	163	51	,	,	PUNCT
brj-24395	163	52	and	and	CCONJ
brj-24395	163	53	two	two	NUM
brj-24395	163	54	-	-	PUNCT
brj-24395	163	55	dimensional	dimensional	ADJ
brj-24395	163	56	correlation	correlation	NOUN
brj-24395	163	57	spectroscopy	spectroscopy	NOUN
brj-24395	163	58	(	(	PUNCT
brj-24395	163	59	2dcos	2dcos	NUM
brj-24395	163	60	)	)	PUNCT
brj-24395	163	61	.	.	PUNCT
brj-24395	164	1	peer	peer	NOUN
brj-24395	164	2	-	-	PUNCT
brj-24395	164	3	reviewed	review	VERB
brj-24395	164	4	article	article	NOUN
brj-24395	164	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24395	164	6	xin	xin	PROPN
brj-24395	164	7	et	et	PROPN
brj-24395	164	8	al	al	PROPN
brj-24395	164	9	.	.	PROPN
brj-24395	165	1	(	(	PUNCT
brj-24395	165	2	2025	2025	NUM
brj-24395	165	3	)	)	PUNCT
brj-24395	165	4	.	.	PUNCT
brj-24395	166	1	“	"	PUNCT
brj-24395	166	2	wood	wood	NOUN
brj-24395	166	3	species	specie	NOUN
brj-24395	166	4	i	i	NOUN
brj-24395	166	5	d	d	PROPN
brj-24395	166	6	by	by	ADP
brj-24395	166	7	infrared	infrared	NOUN
brj-24395	166	8	,	,	PUNCT
brj-24395	166	9	”	"	PUNCT
brj-24395	166	10	bioresources	bioresource	NOUN
brj-24395	166	11	20(2	20(2	NUM
brj-24395	166	12	)	)	PUNCT
brj-24395	166	13	,	,	PUNCT
brj-24395	166	14	4464	4464	NUM
brj-24395	166	15	-	-	SYM
brj-24395	166	16	4478	4478	NUM
brj-24395	166	17	.	.	PUNCT
brj-24395	167	1	4473	4473	NUM
brj-24395	167	2	the	the	DET
brj-24395	167	3	two	two	NUM
brj-24395	167	4	-	-	PUNCT
brj-24395	167	5	dimensional	dimensional	ADJ
brj-24395	167	6	images	image	NOUN
brj-24395	167	7	obtained	obtain	VERB
brj-24395	167	8	through	through	ADP
brj-24395	167	9	these	these	DET
brj-24395	167	10	four	four	NUM
brj-24395	167	11	methods	method	NOUN
brj-24395	167	12	are	be	AUX
brj-24395	167	13	shown	show	VERB
brj-24395	167	14	in	in	ADP
brj-24395	167	15	fig	fig	NOUN
brj-24395	167	16	.	.	PUNCT
brj-24395	168	1	4	4	X
brj-24395	168	2	.	.	X
brj-24395	168	3	the	the	DET
brj-24395	168	4	recurrence	recurrence	NOUN
brj-24395	168	5	plot	plot	NOUN
brj-24395	168	6	retained	retain	VERB
brj-24395	168	7	the	the	DET
brj-24395	168	8	best	good	ADJ
brj-24395	168	9	details	detail	NOUN
brj-24395	168	10	,	,	PUNCT
brj-24395	168	11	but	but	CCONJ
brj-24395	168	12	it	it	PRON
brj-24395	168	13	lacked	lack	VERB
brj-24395	168	14	image	image	NOUN
brj-24395	168	15	blocks	block	NOUN
brj-24395	168	16	of	of	ADP
brj-24395	168	17	varying	vary	VERB
brj-24395	168	18	sizes	size	NOUN
brj-24395	168	19	,	,	PUNCT
brj-24395	168	20	which	which	PRON
brj-24395	168	21	is	be	AUX
brj-24395	168	22	not	not	PART
brj-24395	168	23	conducive	conducive	ADJ
brj-24395	168	24	to	to	PART
brj-24395	168	25	feature	feature	VERB
brj-24395	168	26	extraction	extraction	NOUN
brj-24395	168	27	.	.	PUNCT
brj-24395	169	1	the	the	DET
brj-24395	169	2	gramian	gramian	ADJ
brj-24395	169	3	angular	angular	ADJ
brj-24395	169	4	field	field	NOUN
brj-24395	169	5	had	have	VERB
brj-24395	169	6	a	a	DET
brj-24395	169	7	low	low	ADJ
brj-24395	169	8	redundancy	redundancy	NOUN
brj-24395	169	9	of	of	ADP
brj-24395	169	10	information	information	NOUN
brj-24395	169	11	,	,	PUNCT
brj-24395	169	12	with	with	ADP
brj-24395	169	13	detailed	detailed	ADJ
brj-24395	169	14	differences	difference	NOUN
brj-24395	169	15	distributed	distribute	VERB
brj-24395	169	16	at	at	ADP
brj-24395	169	17	the	the	DET
brj-24395	169	18	edges	edge	NOUN
brj-24395	169	19	of	of	ADP
brj-24395	169	20	the	the	DET
brj-24395	169	21	image	image	NOUN
brj-24395	169	22	,	,	PUNCT
brj-24395	169	23	which	which	PRON
brj-24395	169	24	is	be	AUX
brj-24395	169	25	beneficial	beneficial	ADJ
brj-24395	169	26	for	for	ADP
brj-24395	169	27	information	information	NOUN
brj-24395	169	28	retention	retention	NOUN
brj-24395	169	29	.	.	PUNCT
brj-24395	170	1	however	however	ADV
brj-24395	170	2	,	,	PUNCT
brj-24395	170	3	the	the	DET
brj-24395	170	4	details	detail	NOUN
brj-24395	170	5	were	be	AUX
brj-24395	170	6	concentrated	concentrate	VERB
brj-24395	170	7	,	,	PUNCT
brj-24395	170	8	which	which	PRON
brj-24395	170	9	can	can	AUX
brj-24395	170	10	lead	lead	VERB
brj-24395	170	11	to	to	ADP
brj-24395	170	12	blurred	blurred	ADJ
brj-24395	170	13	features	feature	NOUN
brj-24395	170	14	.	.	PUNCT
brj-24395	171	1	2dcos	2dcos	NUM
brj-24395	171	2	,	,	PUNCT
brj-24395	171	3	typically	typically	ADV
brj-24395	171	4	used	use	VERB
brj-24395	171	5	for	for	ADP
brj-24395	171	6	analyzing	analyze	VERB
brj-24395	171	7	coherent	coherent	ADJ
brj-24395	171	8	peaks	peak	NOUN
brj-24395	171	9	between	between	ADP
brj-24395	171	10	different	different	ADJ
brj-24395	171	11	signals	signal	NOUN
brj-24395	171	12	,	,	PUNCT
brj-24395	171	13	resulted	result	VERB
brj-24395	171	14	in	in	ADP
brj-24395	171	15	feature	feature	NOUN
brj-24395	171	16	overlapping	overlap	VERB
brj-24395	171	17	due	due	ADP
brj-24395	171	18	to	to	ADP
brj-24395	171	19	the	the	DET
brj-24395	171	20	calculation	calculation	NOUN
brj-24395	171	21	of	of	ADP
brj-24395	171	22	the	the	DET
brj-24395	171	23	autocorrelation	autocorrelation	NOUN
brj-24395	171	24	matrix	matrix	NOUN
brj-24395	171	25	.	.	PUNCT
brj-24395	172	1	the	the	DET
brj-24395	172	2	markov	markov	NOUN
brj-24395	172	3	transition	transition	NOUN
brj-24395	172	4	field	field	NOUN
brj-24395	172	5	selectively	selectively	ADV
brj-24395	172	6	retains	retain	VERB
brj-24395	172	7	or	or	CCONJ
brj-24395	172	8	discards	discard	VERB
brj-24395	172	9	local	local	ADJ
brj-24395	172	10	information	information	NOUN
brj-24395	172	11	based	base	VERB
brj-24395	172	12	on	on	ADP
brj-24395	172	13	state	state	NOUN
brj-24395	172	14	definitions	definition	NOUN
brj-24395	172	15	,	,	PUNCT
brj-24395	172	16	allowing	allow	VERB
brj-24395	172	17	for	for	ADP
brj-24395	172	18	the	the	DET
brj-24395	172	19	focus	focus	NOUN
brj-24395	172	20	on	on	ADP
brj-24395	172	21	feature	feature	NOUN
brj-24395	172	22	information	information	NOUN
brj-24395	172	23	relevant	relevant	ADJ
brj-24395	172	24	to	to	ADP
brj-24395	172	25	the	the	DET
brj-24395	172	26	algorithm	algorithm	NOUN
brj-24395	172	27	’s	’s	PART
brj-24395	172	28	objectives	objective	NOUN
brj-24395	172	29	as	as	ADP
brj-24395	172	30	the	the	DET
brj-24395	172	31	screening	screening	NOUN
brj-24395	172	32	criterion	criterion	NOUN
brj-24395	172	33	.	.	PUNCT
brj-24395	173	1	as	as	SCONJ
brj-24395	173	2	shown	show	VERB
brj-24395	173	3	in	in	ADP
brj-24395	173	4	fig	fig	NOUN
brj-24395	173	5	.	.	PUNCT
brj-24395	174	1	4e	4e	NOUN
brj-24395	174	2	,	,	PUNCT
brj-24395	174	3	for	for	ADP
brj-24395	174	4	the	the	DET
brj-24395	174	5	1850	1850	NUM
brj-24395	174	6	to	to	ADP
brj-24395	174	7	2800	2800	NUM
brj-24395	174	8	cm-1	cm-1	NOUN
brj-24395	174	9	region	region	NOUN
brj-24395	174	10	,	,	PUNCT
brj-24395	174	11	which	which	PRON
brj-24395	174	12	is	be	AUX
brj-24395	174	13	not	not	PART
brj-24395	174	14	of	of	ADP
brj-24395	174	15	interest	interest	NOUN
brj-24395	174	16	in	in	ADP
brj-24395	174	17	classification	classification	NOUN
brj-24395	174	18	,	,	PUNCT
brj-24395	174	19	most	most	ADJ
brj-24395	174	20	images	image	NOUN
brj-24395	174	21	exhibited	exhibit	VERB
brj-24395	174	22	convergence	convergence	NOUN
brj-24395	174	23	,	,	PUNCT
brj-24395	174	24	corresponding	correspond	VERB
brj-24395	174	25	to	to	ADP
brj-24395	174	26	no	no	DET
brj-24395	174	27	features	feature	NOUN
brj-24395	174	28	being	be	AUX
brj-24395	174	29	extracted	extract	VERB
brj-24395	174	30	.	.	PUNCT
brj-24395	175	1	however	however	ADV
brj-24395	175	2	,	,	PUNCT
brj-24395	175	3	at	at	ADP
brj-24395	175	4	the	the	DET
brj-24395	175	5	more	more	ADV
brj-24395	175	6	significant	significant	ADJ
brj-24395	175	7	glycosidic	glycosidic	ADJ
brj-24395	175	8	bond	bond	NOUN
brj-24395	175	9	response	response	NOUN
brj-24395	175	10	position	position	NOUN
brj-24395	175	11	(	(	PUNCT
brj-24395	175	12	1160	1160	NUM
brj-24395	175	13	cm-1	cm-1	NOUN
brj-24395	175	14	)	)	PUNCT
brj-24395	175	15	and	and	CCONJ
brj-24395	175	16	the	the	DET
brj-24395	175	17	position	position	NOUN
brj-24395	175	18	of	of	ADP
brj-24395	175	19	the	the	DET
brj-24395	175	20	aromaticrelated	aromaticrelate	VERB
brj-24395	175	21	c	c	PROPN
brj-24395	175	22	-	-	PUNCT
brj-24395	175	23	h	h	NOUN
brj-24395	175	24	bonds	bond	NOUN
brj-24395	175	25	(	(	PUNCT
brj-24395	175	26	1850	1850	NUM
brj-24395	175	27	cm-1	cm-1	NOUN
brj-24395	175	28	)	)	PUNCT
brj-24395	175	29	,	,	PUNCT
brj-24395	175	30	more	more	ADJ
brj-24395	175	31	signals	signal	NOUN
brj-24395	175	32	were	be	AUX
brj-24395	175	33	extracted	extract	VERB
brj-24395	175	34	,	,	PUNCT
brj-24395	175	35	and	and	CCONJ
brj-24395	175	36	the	the	DET
brj-24395	175	37	features	feature	NOUN
brj-24395	175	38	were	be	AUX
brj-24395	175	39	more	more	ADV
brj-24395	175	40	pronounced	pronounced	ADJ
brj-24395	175	41	.	.	PUNCT
brj-24395	176	1	more	more	ADJ
brj-24395	176	2	states	state	NOUN
brj-24395	176	3	result	result	VERB
brj-24395	176	4	in	in	ADP
brj-24395	176	5	richer	rich	ADJ
brj-24395	176	6	information	information	NOUN
brj-24395	176	7	about	about	ADP
brj-24395	176	8	the	the	DET
brj-24395	176	9	details	detail	NOUN
brj-24395	176	10	obtained	obtain	VERB
brj-24395	176	11	,	,	PUNCT
brj-24395	176	12	but	but	CCONJ
brj-24395	176	13	they	they	PRON
brj-24395	176	14	are	be	AUX
brj-24395	176	15	more	more	ADV
brj-24395	176	16	susceptible	susceptible	ADJ
brj-24395	176	17	to	to	ADP
brj-24395	176	18	noise	noise	NOUN
brj-24395	176	19	.	.	PUNCT
brj-24395	177	1	therefore	therefore	ADV
brj-24395	177	2	,	,	PUNCT
brj-24395	177	3	it	it	PRON
brj-24395	177	4	is	be	AUX
brj-24395	177	5	necessary	necessary	ADJ
brj-24395	177	6	to	to	PART
brj-24395	177	7	determine	determine	VERB
brj-24395	177	8	the	the	DET
brj-24395	177	9	specific	specific	ADJ
brj-24395	177	10	number	number	NOUN
brj-24395	177	11	of	of	ADP
brj-24395	177	12	states	state	NOUN
brj-24395	177	13	for	for	ADP
brj-24395	177	14	the	the	DET
brj-24395	177	15	mtf	mtf	PROPN
brj-24395	177	16	algorithm	algorithm	NOUN
brj-24395	177	17	.	.	PUNCT
brj-24395	178	1	fig	fig	NOUN
brj-24395	178	2	.	.	PUNCT
brj-24395	179	1	4	4	X
brj-24395	179	2	.	.	X
brj-24395	179	3	spectral	spectral	ADJ
brj-24395	179	4	data	datum	NOUN
brj-24395	179	5	after	after	ADP
brj-24395	179	6	the	the	DET
brj-24395	179	7	two	two	NUM
brj-24395	179	8	-	-	PUNCT
brj-24395	179	9	dimensional	dimensional	ADJ
brj-24395	179	10	transformation:(a	transformation:(a	NOUN
brj-24395	179	11	)	)	PUNCT
brj-24395	179	12	markov	markov	NOUN
brj-24395	179	13	transition	transition	NOUN
brj-24395	179	14	field	field	NOUN
brj-24395	179	15	(	(	PUNCT
brj-24395	179	16	b	b	NOUN
brj-24395	179	17	)	)	PUNCT
brj-24395	179	18	recurrence	recurrence	NOUN
brj-24395	179	19	plot	plot	NOUN
brj-24395	179	20	(	(	PUNCT
brj-24395	179	21	c	c	NOUN
brj-24395	179	22	)	)	PUNCT
brj-24395	179	23	gramian	gramian	ADJ
brj-24395	179	24	angular	angular	ADJ
brj-24395	179	25	field	field	NOUN
brj-24395	179	26	(	(	PUNCT
brj-24395	179	27	d	d	NOUN
brj-24395	179	28	)	)	PUNCT
brj-24395	179	29	two	two	NUM
brj-24395	179	30	-	-	PUNCT
brj-24395	179	31	dimensional	dimensional	ADJ
brj-24395	179	32	autocorrelation	autocorrelation	NOUN
brj-24395	179	33	spectroscopy	spectroscopy	NOUN
brj-24395	179	34	(	(	PUNCT
brj-24395	179	35	e	e	NOUN
brj-24395	179	36	)	)	PUNCT
brj-24395	179	37	spectral	spectral	ADJ
brj-24395	179	38	and	and	CCONJ
brj-24395	179	39	matrix	matrix	NOUN
brj-24395	179	40	correlation	correlation	NOUN
brj-24395	179	41	diagram	diagram	NOUN
brj-24395	179	42	for	for	ADP
brj-24395	179	43	the	the	DET
brj-24395	179	44	mtf	mtf	PROPN
brj-24395	179	45	algorithm	algorithm	NOUN
brj-24395	179	46	,	,	PUNCT
brj-24395	179	47	it	it	PRON
brj-24395	179	48	is	be	AUX
brj-24395	179	49	necessary	necessary	ADJ
brj-24395	179	50	to	to	PART
brj-24395	179	51	determine	determine	VERB
brj-24395	179	52	the	the	DET
brj-24395	179	53	algorithm	algorithm	NOUN
brj-24395	179	54	parameters	parameter	NOUN
brj-24395	179	55	,	,	PUNCT
brj-24395	179	56	with	with	ADP
brj-24395	179	57	the	the	DET
brj-24395	179	58	most	most	ADV
brj-24395	179	59	critical	critical	ADJ
brj-24395	179	60	parameter	parameter	NOUN
brj-24395	179	61	being	be	AUX
brj-24395	179	62	the	the	DET
brj-24395	179	63	number	number	NOUN
brj-24395	179	64	of	of	ADP
brj-24395	179	65	states	state	NOUN
brj-24395	179	66	.	.	PUNCT
brj-24395	180	1	the	the	PRON
brj-24395	180	2	greater	great	ADJ
brj-24395	180	3	the	the	DET
brj-24395	180	4	number	number	NOUN
brj-24395	180	5	of	of	ADP
brj-24395	180	6	states	state	NOUN
brj-24395	180	7	,	,	PUNCT
brj-24395	180	8	the	the	PRON
brj-24395	180	9	stronger	strong	ADJ
brj-24395	180	10	the	the	DET
brj-24395	180	11	information	information	NOUN
brj-24395	180	12	extraction	extraction	NOUN
brj-24395	180	13	capability	capability	NOUN
brj-24395	180	14	of	of	ADP
brj-24395	180	15	the	the	DET
brj-24395	180	16	markov	markov	NOUN
brj-24395	180	17	transition	transition	NOUN
brj-24395	180	18	field	field	NOUN
brj-24395	180	19	,	,	PUNCT
brj-24395	180	20	and	and	CCONJ
brj-24395	180	21	the	the	DET
brj-24395	180	22	more	more	ADJ
brj-24395	180	23	details	detail	NOUN
brj-24395	180	24	are	be	AUX
brj-24395	180	25	preserved	preserve	VERB
brj-24395	180	26	.	.	PUNCT
brj-24395	181	1	however	however	ADV
brj-24395	181	2	,	,	PUNCT
brj-24395	181	3	the	the	DET
brj-24395	181	4	corresponding	correspond	VERB
brj-24395	181	5	two	two	NUM
brj-24395	181	6	-	-	PUNCT
brj-24395	181	7	dimensional	dimensional	ADJ
brj-24395	181	8	image	image	NOUN
brj-24395	181	9	becomes	become	VERB
brj-24395	181	10	more	more	ADV
brj-24395	181	11	complex	complex	ADJ
brj-24395	181	12	,	,	PUNCT
brj-24395	181	13	leading	lead	VERB
brj-24395	181	14	to	to	ADP
brj-24395	181	15	poorer	poor	ADJ
brj-24395	181	16	clustering	clustering	ADJ
brj-24395	181	17	results	result	NOUN
brj-24395	181	18	.	.	PUNCT
brj-24395	182	1	the	the	DET
brj-24395	182	2	aim	aim	NOUN
brj-24395	182	3	is	be	AUX
brj-24395	182	4	to	to	PART
brj-24395	182	5	retain	retain	VERB
brj-24395	182	6	the	the	DET
brj-24395	182	7	features	feature	NOUN
brj-24395	182	8	representing	represent	VERB
brj-24395	182	9	inter	inter	ADJ
brj-24395	182	10	-	-	ADJ
brj-24395	182	11	species	species	ADJ
brj-24395	182	12	differences	difference	NOUN
brj-24395	182	13	while	while	SCONJ
brj-24395	182	14	filtering	filter	VERB
brj-24395	182	15	out	out	ADP
brj-24395	182	16	the	the	DET
brj-24395	182	17	intra	intra	ADJ
brj-24395	182	18	-	-	ADJ
brj-24395	182	19	species	species	ADJ
brj-24395	182	20	difference	difference	NOUN
brj-24395	182	21	peer	peer	NOUN
brj-24395	182	22	-	-	PUNCT
brj-24395	182	23	reviewed	review	VERB
brj-24395	182	24	article	article	NOUN
brj-24395	182	25	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24395	182	26	xin	xin	PROPN
brj-24395	182	27	et	et	PROPN
brj-24395	182	28	al	al	PROPN
brj-24395	182	29	.	.	PROPN
brj-24395	183	1	(	(	PUNCT
brj-24395	183	2	2025	2025	NUM
brj-24395	183	3	)	)	PUNCT
brj-24395	183	4	.	.	PUNCT
brj-24395	184	1	“	"	PUNCT
brj-24395	184	2	wood	wood	NOUN
brj-24395	184	3	species	specie	NOUN
brj-24395	184	4	i	i	NOUN
brj-24395	184	5	d	d	PROPN
brj-24395	184	6	by	by	ADP
brj-24395	184	7	infrared	infrared	NOUN
brj-24395	184	8	,	,	PUNCT
brj-24395	184	9	”	"	PUNCT
brj-24395	184	10	bioresources	bioresource	NOUN
brj-24395	184	11	20(2	20(2	NUM
brj-24395	184	12	)	)	PUNCT
brj-24395	184	13	,	,	PUNCT
brj-24395	184	14	4464	4464	NUM
brj-24395	184	15	-	-	SYM
brj-24395	184	16	4478	4478	NUM
brj-24395	184	17	.	.	PUNCT
brj-24395	185	1	4474	4474	NUM
brj-24395	185	2	features	feature	VERB
brj-24395	185	3	.	.	PUNCT
brj-24395	186	1	by	by	ADP
brj-24395	186	2	comparing	compare	VERB
brj-24395	186	3	the	the	DET
brj-24395	186	4	image	image	NOUN
brj-24395	186	5	transformation	transformation	NOUN
brj-24395	186	6	results	result	NOUN
brj-24395	186	7	with	with	ADP
brj-24395	186	8	state	state	NOUN
brj-24395	186	9	numbers	number	NOUN
brj-24395	186	10	of	of	ADP
brj-24395	186	11	5	5	NUM
brj-24395	186	12	,	,	PUNCT
brj-24395	186	13	10	10	NUM
brj-24395	186	14	,	,	PUNCT
brj-24395	186	15	25	25	NUM
brj-24395	186	16	,	,	PUNCT
brj-24395	186	17	50	50	NUM
brj-24395	186	18	,	,	PUNCT
brj-24395	186	19	and	and	CCONJ
brj-24395	186	20	100	100	NUM
brj-24395	186	21	,	,	PUNCT
brj-24395	186	22	as	as	SCONJ
brj-24395	186	23	shown	show	VERB
brj-24395	186	24	in	in	ADP
brj-24395	186	25	fig	fig	NOUN
brj-24395	186	26	.	.	PUNCT
brj-24395	187	1	5	5	NUM
brj-24395	187	2	,	,	PUNCT
brj-24395	187	3	it	it	PRON
brj-24395	187	4	was	be	AUX
brj-24395	187	5	determined	determine	VERB
brj-24395	187	6	that	that	SCONJ
brj-24395	187	7	a	a	DET
brj-24395	187	8	state	state	NOUN
brj-24395	187	9	number	number	NOUN
brj-24395	187	10	of	of	ADP
brj-24395	187	11	10	10	NUM
brj-24395	187	12	best	well	ADV
brj-24395	187	13	met	meet	VERB
brj-24395	187	14	the	the	DET
brj-24395	187	15	computational	computational	ADJ
brj-24395	187	16	expectations	expectation	NOUN
brj-24395	187	17	.	.	PUNCT
brj-24395	188	1	fig	fig	NOUN
brj-24395	188	2	.	.	PUNCT
brj-24395	189	1	5	5	X
brj-24395	189	2	.	.	NUM
brj-24395	189	3	images	image	NOUN
brj-24395	189	4	of	of	ADP
brj-24395	189	5	markov	markov	NOUN
brj-24395	189	6	transformation	transformation	NOUN
brj-24395	189	7	fields	field	NOUN
brj-24395	189	8	with	with	ADP
brj-24395	189	9	different	different	ADJ
brj-24395	189	10	numbers	number	NOUN
brj-24395	189	11	of	of	ADP
brj-24395	189	12	states	state	NOUN
brj-24395	189	13	evaluation	evaluation	NOUN
brj-24395	189	14	the	the	DET
brj-24395	189	15	comparative	comparative	ADJ
brj-24395	189	16	qualitative	qualitative	NOUN
brj-24395	189	17	analysis	analysis	NOUN
brj-24395	189	18	methods	method	NOUN
brj-24395	189	19	include	include	VERB
brj-24395	189	20	the	the	DET
brj-24395	189	21	following	following	NOUN
brj-24395	189	22	:	:	PUNCT
brj-24395	189	23	method	method	NOUN
brj-24395	189	24	one	one	NUM
brj-24395	189	25	:	:	PUNCT
brj-24395	189	26	directly	directly	ADV
brj-24395	189	27	input	input	VERB
brj-24395	189	28	the	the	DET
brj-24395	189	29	preprocessed	preprocesse	VERB
brj-24395	189	30	data	datum	NOUN
brj-24395	189	31	into	into	ADP
brj-24395	189	32	the	the	DET
brj-24395	189	33	support	support	NOUN
brj-24395	189	34	vector	vector	NOUN
brj-24395	189	35	machine	machine	NOUN
brj-24395	189	36	(	(	PUNCT
brj-24395	189	37	svc	svc	NOUN
brj-24395	189	38	)	)	PUNCT
brj-24395	189	39	.	.	PUNCT
brj-24395	190	1	support	support	NOUN
brj-24395	190	2	vector	vector	NOUN
brj-24395	190	3	machine	machine	NOUN
brj-24395	190	4	is	be	AUX
brj-24395	190	5	a	a	DET
brj-24395	190	6	classification	classification	NOUN
brj-24395	190	7	method	method	NOUN
brj-24395	190	8	based	base	VERB
brj-24395	190	9	on	on	ADP
brj-24395	190	10	the	the	DET
brj-24395	190	11	maximum	maximum	ADJ
brj-24395	190	12	margin	margin	NOUN
brj-24395	190	13	principle	principle	NOUN
brj-24395	190	14	,	,	PUNCT
brj-24395	190	15	which	which	PRON
brj-24395	190	16	is	be	AUX
brj-24395	190	17	simple	simple	ADJ
brj-24395	190	18	and	and	CCONJ
brj-24395	190	19	efficient	efficient	ADJ
brj-24395	190	20	,	,	PUNCT
brj-24395	190	21	suitable	suitable	ADJ
brj-24395	190	22	for	for	ADP
brj-24395	190	23	medium	medium	ADJ
brj-24395	190	24	and	and	CCONJ
brj-24395	190	25	small	small	ADJ
brj-24395	190	26	-	-	PUNCT
brj-24395	190	27	scale	scale	NOUN
brj-24395	190	28	classification	classification	NOUN
brj-24395	190	29	problems	problem	NOUN
brj-24395	190	30	.	.	PUNCT
brj-24395	191	1	by	by	ADP
brj-24395	191	2	introducing	introduce	VERB
brj-24395	191	3	a	a	DET
brj-24395	191	4	kernel	kernel	NOUN
brj-24395	191	5	function	function	NOUN
brj-24395	191	6	,	,	PUNCT
brj-24395	191	7	svc	svc	PROPN
brj-24395	191	8	can	can	AUX
brj-24395	191	9	effectively	effectively	ADV
brj-24395	191	10	solve	solve	VERB
brj-24395	191	11	nonlinear	nonlinear	ADJ
brj-24395	191	12	classification	classification	NOUN
brj-24395	191	13	problems	problem	NOUN
brj-24395	191	14	and	and	CCONJ
brj-24395	191	15	is	be	AUX
brj-24395	191	16	applicable	applicable	ADJ
brj-24395	191	17	to	to	ADP
brj-24395	191	18	this	this	DET
brj-24395	191	19	classification	classification	NOUN
brj-24395	191	20	problem	problem	NOUN
brj-24395	191	21	.	.	PUNCT
brj-24395	192	1	method	method	PROPN
brj-24395	192	2	two	two	NUM
brj-24395	192	3	:	:	PUNCT
brj-24395	192	4	use	use	VERB
brj-24395	192	5	principal	principal	ADJ
brj-24395	192	6	component	component	NOUN
brj-24395	192	7	analysis	analysis	NOUN
brj-24395	192	8	(	(	PUNCT
brj-24395	192	9	pca	pca	NOUN
brj-24395	192	10	)	)	PUNCT
brj-24395	192	11	to	to	PART
brj-24395	192	12	reduce	reduce	VERB
brj-24395	192	13	the	the	DET
brj-24395	192	14	dimensionality	dimensionality	NOUN
brj-24395	192	15	of	of	ADP
brj-24395	192	16	the	the	DET
brj-24395	192	17	preprocessed	preprocesse	VERB
brj-24395	192	18	data	datum	NOUN
brj-24395	192	19	and	and	CCONJ
brj-24395	192	20	then	then	ADV
brj-24395	192	21	classify	classify	VERB
brj-24395	192	22	using	use	VERB
brj-24395	192	23	svc	svc	PROPN
brj-24395	192	24	(	(	PUNCT
brj-24395	192	25	pca	pca	PROPN
brj-24395	192	26	-	-	PUNCT
brj-24395	192	27	svc	svc	PROPN
brj-24395	192	28	)	)	PUNCT
brj-24395	192	29	.	.	PUNCT
brj-24395	193	1	by	by	ADP
brj-24395	193	2	reducing	reduce	VERB
brj-24395	193	3	the	the	DET
brj-24395	193	4	dimensionality	dimensionality	NOUN
brj-24395	193	5	with	with	ADP
brj-24395	193	6	pca	pca	PROPN
brj-24395	193	7	,	,	PUNCT
brj-24395	193	8	the	the	DET
brj-24395	193	9	data	data	NOUN
brj-24395	193	10	dimensionality	dimensionality	NOUN
brj-24395	193	11	is	be	AUX
brj-24395	193	12	reduced	reduce	VERB
brj-24395	193	13	,	,	PUNCT
brj-24395	193	14	the	the	DET
brj-24395	193	15	computational	computational	ADJ
brj-24395	193	16	complexity	complexity	NOUN
brj-24395	193	17	is	be	AUX
brj-24395	193	18	lowered	lower	VERB
brj-24395	193	19	,	,	PUNCT
brj-24395	193	20	noise	noise	NOUN
brj-24395	193	21	and	and	CCONJ
brj-24395	193	22	redundant	redundant	ADJ
brj-24395	193	23	information	information	NOUN
brj-24395	193	24	are	be	AUX
brj-24395	193	25	removed	remove	VERB
brj-24395	193	26	,	,	PUNCT
brj-24395	193	27	which	which	PRON
brj-24395	193	28	helps	help	VERB
brj-24395	193	29	to	to	PART
brj-24395	193	30	improve	improve	VERB
brj-24395	193	31	the	the	DET
brj-24395	193	32	classification	classification	NOUN
brj-24395	193	33	accuracy	accuracy	NOUN
brj-24395	193	34	of	of	ADP
brj-24395	193	35	svc	svc	PROPN
brj-24395	193	36	.	.	PUNCT
brj-24395	194	1	method	method	PROPN
brj-24395	194	2	three	three	NUM
brj-24395	194	3	:	:	PUNCT
brj-24395	194	4	generate	generate	VERB
brj-24395	194	5	two	two	NUM
brj-24395	194	6	-	-	PUNCT
brj-24395	194	7	dimensional	dimensional	ADJ
brj-24395	194	8	data	datum	NOUN
brj-24395	194	9	using	use	VERB
brj-24395	194	10	the	the	DET
brj-24395	194	11	markov	markov	NOUN
brj-24395	194	12	transition	transition	NOUN
brj-24395	194	13	field	field	NOUN
brj-24395	194	14	and	and	CCONJ
brj-24395	194	15	then	then	ADV
brj-24395	194	16	classify	classify	VERB
brj-24395	194	17	using	use	VERB
brj-24395	194	18	a	a	DET
brj-24395	194	19	convolutional	convolutional	ADJ
brj-24395	194	20	neural	neural	ADJ
brj-24395	194	21	network	network	NOUN
brj-24395	194	22	(	(	PUNCT
brj-24395	194	23	mtf	mtf	PROPN
brj-24395	194	24	-	-	PUNCT
brj-24395	194	25	cnn	cnn	PROPN
brj-24395	194	26	)	)	PUNCT
brj-24395	194	27	.	.	PUNCT
brj-24395	195	1	mtf	mtf	PROPN
brj-24395	195	2	can	can	AUX
brj-24395	195	3	generate	generate	VERB
brj-24395	195	4	two	two	NUM
brj-24395	195	5	-	-	PUNCT
brj-24395	195	6	dimensional	dimensional	ADJ
brj-24395	195	7	data	datum	NOUN
brj-24395	195	8	with	with	ADP
brj-24395	195	9	local	local	ADJ
brj-24395	195	10	correlations	correlation	NOUN
brj-24395	195	11	,	,	PUNCT
brj-24395	195	12	which	which	PRON
brj-24395	195	13	is	be	AUX
brj-24395	195	14	beneficial	beneficial	ADJ
brj-24395	195	15	for	for	SCONJ
brj-24395	195	16	cnn	cnn	PROPN
brj-24395	195	17	to	to	PART
brj-24395	195	18	extract	extract	VERB
brj-24395	195	19	local	local	ADJ
brj-24395	195	20	features	feature	NOUN
brj-24395	195	21	.	.	PUNCT
brj-24395	196	1	cnn	cnn	PROPN
brj-24395	196	2	has	have	VERB
brj-24395	196	3	superior	superior	ADJ
brj-24395	196	4	performance	performance	NOUN
brj-24395	196	5	in	in	ADP
brj-24395	196	6	the	the	DET
brj-24395	196	7	field	field	NOUN
brj-24395	196	8	of	of	ADP
brj-24395	196	9	image	image	NOUN
brj-24395	196	10	recognition	recognition	NOUN
brj-24395	196	11	and	and	CCONJ
brj-24395	196	12	is	be	AUX
brj-24395	196	13	suitable	suitable	ADJ
brj-24395	196	14	for	for	ADP
brj-24395	196	15	complex	complex	ADJ
brj-24395	196	16	classification	classification	NOUN
brj-24395	196	17	problems	problem	NOUN
brj-24395	196	18	.	.	PUNCT
brj-24395	197	1	method	method	PROPN
brj-24395	197	2	four	four	NUM
brj-24395	197	3	:	:	PUNCT
brj-24395	197	4	generate	generate	VERB
brj-24395	197	5	two	two	NUM
brj-24395	197	6	-	-	PUNCT
brj-24395	197	7	dimensional	dimensional	ADJ
brj-24395	197	8	data	datum	NOUN
brj-24395	197	9	using	use	VERB
brj-24395	197	10	the	the	DET
brj-24395	197	11	markov	markov	NOUN
brj-24395	197	12	transition	transition	NOUN
brj-24395	197	13	field	field	NOUN
brj-24395	197	14	and	and	CCONJ
brj-24395	197	15	then	then	ADV
brj-24395	197	16	classify	classify	VERB
brj-24395	197	17	using	use	VERB
brj-24395	197	18	the	the	DET
brj-24395	197	19	selective	selective	ADJ
brj-24395	197	20	kernel	kernel	NOUN
brj-24395	197	21	network	network	PROPN
brj-24395	197	22	(	(	PUNCT
brj-24395	197	23	mtf	mtf	NOUN
brj-24395	197	24	-	-	PUNCT
brj-24395	197	25	sknet	sknet	NOUN
brj-24395	197	26	)	)	PUNCT
brj-24395	197	27	.	.	PUNCT
brj-24395	198	1	sknet	sknet	NOUN
brj-24395	198	2	can	can	AUX
brj-24395	198	3	dynamically	dynamically	ADV
brj-24395	198	4	select	select	VERB
brj-24395	198	5	the	the	DET
brj-24395	198	6	appropriate	appropriate	ADJ
brj-24395	198	7	convolution	convolution	NOUN
brj-24395	198	8	kernels	kernel	NOUN
brj-24395	198	9	based	base	VERB
brj-24395	198	10	on	on	ADP
brj-24395	198	11	the	the	DET
brj-24395	198	12	features	feature	NOUN
brj-24395	198	13	of	of	ADP
brj-24395	198	14	the	the	DET
brj-24395	198	15	input	input	NOUN
brj-24395	198	16	data	datum	NOUN
brj-24395	198	17	,	,	PUNCT
brj-24395	198	18	improving	improve	VERB
brj-24395	198	19	classification	classification	NOUN
brj-24395	198	20	performance	performance	NOUN
brj-24395	198	21	.	.	PUNCT
brj-24395	199	1	by	by	ADP
brj-24395	199	2	processing	process	VERB
brj-24395	199	3	data	datum	NOUN
brj-24395	199	4	with	with	ADP
brj-24395	199	5	different	different	ADJ
brj-24395	199	6	features	feature	NOUN
brj-24395	199	7	in	in	ADP
brj-24395	199	8	parallel	parallel	NOUN
brj-24395	199	9	with	with	ADP
brj-24395	199	10	convolution	convolution	NOUN
brj-24395	199	11	kernels	kernel	NOUN
brj-24395	199	12	,	,	PUNCT
brj-24395	199	13	it	it	PRON
brj-24395	199	14	has	have	VERB
brj-24395	199	15	strong	strong	ADJ
brj-24395	199	16	adaptability	adaptability	NOUN
brj-24395	199	17	.	.	PUNCT
brj-24395	200	1	most	most	ADV
brj-24395	200	2	importantly	importantly	ADV
brj-24395	200	3	,	,	PUNCT
brj-24395	200	4	it	it	PRON
brj-24395	200	5	maintains	maintain	VERB
brj-24395	200	6	a	a	DET
brj-24395	200	7	high	high	ADJ
brj-24395	200	8	classification	classification	NOUN
brj-24395	200	9	accuracy	accuracy	NOUN
brj-24395	200	10	while	while	SCONJ
brj-24395	200	11	reducing	reduce	VERB
brj-24395	200	12	computational	computational	ADJ
brj-24395	200	13	complexity	complexity	NOUN
brj-24395	200	14	,	,	PUNCT
brj-24395	200	15	which	which	PRON
brj-24395	200	16	is	be	AUX
brj-24395	200	17	conducive	conducive	ADJ
brj-24395	200	18	to	to	ADP
brj-24395	200	19	the	the	DET
brj-24395	200	20	application	application	NOUN
brj-24395	200	21	of	of	ADP
brj-24395	200	22	practical	practical	ADJ
brj-24395	200	23	problems	problem	NOUN
brj-24395	200	24	.	.	PUNCT
brj-24395	201	1	method	method	PROPN
brj-24395	201	2	five	five	NUM
brj-24395	201	3	:	:	PUNCT
brj-24395	201	4	generate	generate	VERB
brj-24395	201	5	two	two	NUM
brj-24395	201	6	-	-	PUNCT
brj-24395	201	7	dimensional	dimensional	ADJ
brj-24395	201	8	data	datum	NOUN
brj-24395	201	9	using	use	VERB
brj-24395	201	10	the	the	DET
brj-24395	201	11	random	random	ADJ
brj-24395	201	12	projection	projection	NOUN
brj-24395	201	13	(	(	PUNCT
brj-24395	201	14	rp	rp	NOUN
brj-24395	201	15	)	)	PUNCT
brj-24395	201	16	method	method	NOUN
brj-24395	201	17	,	,	PUNCT
brj-24395	201	18	and	and	CCONJ
brj-24395	201	19	then	then	ADV
brj-24395	201	20	classify	classify	VERB
brj-24395	201	21	using	use	VERB
brj-24395	201	22	cnn	cnn	PROPN
brj-24395	201	23	(	(	PUNCT
brj-24395	201	24	rp	rp	NOUN
brj-24395	201	25	-	-	PUNCT
brj-24395	201	26	cnn	cnn	PROPN
brj-24395	201	27	)	)	PUNCT
brj-24395	201	28	.	.	PUNCT
brj-24395	202	1	rp	rp	NOUN
brj-24395	202	2	transforms	transform	VERB
brj-24395	202	3	data	datum	NOUN
brj-24395	202	4	into	into	ADP
brj-24395	202	5	a	a	DET
brj-24395	202	6	lowerdimensional	lowerdimensional	ADJ
brj-24395	202	7	space	space	NOUN
brj-24395	202	8	,	,	PUNCT
brj-24395	202	9	preserving	preserve	VERB
brj-24395	202	10	the	the	DET
brj-24395	202	11	structure	structure	NOUN
brj-24395	202	12	for	for	ADP
brj-24395	202	13	cnn	cnn	PROPN
brj-24395	202	14	to	to	ADP
brj-24395	202	15	process	process	NOUN
brj-24395	202	16	.	.	PUNCT
brj-24395	203	1	method	method	PROPN
brj-24395	203	2	six	six	NUM
brj-24395	203	3	:	:	PUNCT
brj-24395	203	4	generate	generate	VERB
brj-24395	203	5	two	two	NUM
brj-24395	203	6	-	-	PUNCT
brj-24395	203	7	dimensional	dimensional	ADJ
brj-24395	203	8	data	datum	NOUN
brj-24395	203	9	using	use	VERB
brj-24395	203	10	the	the	DET
brj-24395	203	11	gramian	gramian	ADJ
brj-24395	203	12	angular	angular	ADJ
brj-24395	203	13	field	field	NOUN
brj-24395	203	14	(	(	PUNCT
brj-24395	203	15	gaf	gaf	PROPN
brj-24395	203	16	)	)	PUNCT
brj-24395	203	17	and	and	CCONJ
brj-24395	203	18	then	then	ADV
brj-24395	203	19	classify	classify	VERB
brj-24395	203	20	using	use	VERB
brj-24395	203	21	cnn	cnn	PROPN
brj-24395	203	22	(	(	PUNCT
brj-24395	203	23	gaf	gaf	PROPN
brj-24395	203	24	-	-	PUNCT
brj-24395	203	25	cnn	cnn	PROPN
brj-24395	203	26	)	)	PUNCT
brj-24395	203	27	.	.	PUNCT
brj-24395	204	1	gaf	gaf	PROPN
brj-24395	204	2	captures	capture	VERB
brj-24395	204	3	temporal	temporal	ADJ
brj-24395	204	4	relationships	relationship	NOUN
brj-24395	204	5	,	,	PUNCT
brj-24395	204	6	converting	convert	VERB
brj-24395	204	7	them	they	PRON
brj-24395	204	8	into	into	ADP
brj-24395	204	9	a	a	DET
brj-24395	204	10	format	format	NOUN
brj-24395	204	11	that	that	SCONJ
brj-24395	204	12	cnn	cnn	PROPN
brj-24395	204	13	can	can	AUX
brj-24395	204	14	effectively	effectively	ADV
brj-24395	204	15	analyze	analyze	VERB
brj-24395	204	16	for	for	ADP
brj-24395	204	17	classification	classification	NOUN
brj-24395	204	18	.	.	PUNCT
brj-24395	205	1	peer	peer	NOUN
brj-24395	205	2	-	-	PUNCT
brj-24395	205	3	reviewed	review	VERB
brj-24395	205	4	article	article	NOUN
brj-24395	205	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24395	205	6	xin	xin	PROPN
brj-24395	205	7	et	et	PROPN
brj-24395	205	8	al	al	PROPN
brj-24395	205	9	.	.	PROPN
brj-24395	206	1	(	(	PUNCT
brj-24395	206	2	2025	2025	NUM
brj-24395	206	3	)	)	PUNCT
brj-24395	206	4	.	.	PUNCT
brj-24395	207	1	“	"	PUNCT
brj-24395	207	2	wood	wood	NOUN
brj-24395	207	3	species	specie	NOUN
brj-24395	207	4	i	i	NOUN
brj-24395	207	5	d	d	PROPN
brj-24395	207	6	by	by	ADP
brj-24395	207	7	infrared	infrared	NOUN
brj-24395	207	8	,	,	PUNCT
brj-24395	207	9	”	"	PUNCT
brj-24395	207	10	bioresources	bioresource	NOUN
brj-24395	207	11	20(2	20(2	NUM
brj-24395	207	12	)	)	PUNCT
brj-24395	207	13	,	,	PUNCT
brj-24395	207	14	4464	4464	NUM
brj-24395	207	15	-	-	SYM
brj-24395	207	16	4478	4478	NUM
brj-24395	207	17	.	.	PUNCT
brj-24395	208	1	4475	4475	NUM
brj-24395	208	2	table	table	NOUN
brj-24395	208	3	3	3	NUM
brj-24395	208	4	.	.	PUNCT
brj-24395	208	5	comparison	comparison	NOUN
brj-24395	208	6	of	of	ADP
brj-24395	208	7	classification	classification	NOUN
brj-24395	208	8	accuracy	accuracy	NOUN
brj-24395	208	9	results	result	NOUN
brj-24395	208	10	for	for	ADP
brj-24395	208	11	wood	wood	NOUN
brj-24395	208	12	species	specie	NOUN
brj-24395	208	13	method	method	NOUN
brj-24395	208	14	svc	svc	PROPN
brj-24395	208	15	pca	pca	PROPN
brj-24395	208	16	-	-	PUNCT
brj-24395	208	17	svc	svc	PROPN
brj-24395	208	18	mtf	mtf	PROPN
brj-24395	208	19	-	-	PUNCT
brj-24395	208	20	cnn	cnn	PROPN
brj-24395	208	21	mtf	mtf	PROPN
brj-24395	208	22	-	-	PUNCT
brj-24395	208	23	sknet	sknet	NOUN
brj-24395	208	24	gaf	gaf	PROPN
brj-24395	208	25	-	-	PROPN
brj-24395	208	26	cnn	cnn	PROPN
brj-24395	208	27	rp	rp	PROPN
brj-24395	208	28	-	-	PUNCT
brj-24395	208	29	cnn	cnn	PROPN
brj-24395	208	30	train	train	NOUN
brj-24395	208	31	accuracy	accuracy	NOUN
brj-24395	208	32	61.2	61.2	NUM
brj-24395	208	33	%	%	NOUN
brj-24395	208	34	92.4	92.4	NUM
brj-24395	208	35	%	%	NOUN
brj-24395	208	36	91.6	91.6	NUM
brj-24395	208	37	%	%	NOUN
brj-24395	208	38	93.5	93.5	NUM
brj-24395	208	39	%	%	NOUN
brj-24395	208	40	71.4	71.4	NUM
brj-24395	208	41	%	%	NOUN
brj-24395	208	42	80.3	80.3	NUM
brj-24395	208	43	%	%	NOUN
brj-24395	208	44	test	test	NOUN
brj-24395	208	45	accuracy	accuracy	NOUN
brj-24395	208	46	55.6	55.6	NUM
brj-24395	208	47	%	%	NOUN
brj-24395	208	48	92.6	92.6	NUM
brj-24395	208	49	%	%	NOUN
brj-24395	208	50	86.2	86.2	NUM
brj-24395	208	51	%	%	NOUN
brj-24395	208	52	93.2	93.2	NUM
brj-24395	208	53	%	%	NOUN
brj-24395	208	54	70.1	70.1	NUM
brj-24395	208	55	%	%	NOUN
brj-24395	208	56	76.3	76.3	NUM
brj-24395	208	57	%	%	NOUN
brj-24395	208	58	comparing	compare	VERB
brj-24395	208	59	mtf	mtf	PROPN
brj-24395	208	60	-	-	PUNCT
brj-24395	208	61	cnn	cnn	PROPN
brj-24395	208	62	,	,	PUNCT
brj-24395	208	63	gaf	gaf	PROPN
brj-24395	208	64	-	-	PUNCT
brj-24395	208	65	cnn	cnn	PROPN
brj-24395	208	66	,	,	PUNCT
brj-24395	208	67	and	and	CCONJ
brj-24395	208	68	rp	rp	NOUN
brj-24395	208	69	-	-	PUNCT
brj-24395	208	70	cnn	cnn	PROPN
brj-24395	208	71	,	,	PUNCT
brj-24395	208	72	a	a	DET
brj-24395	208	73	clear	clear	ADJ
brj-24395	208	74	difference	difference	NOUN
brj-24395	208	75	becomes	become	VERB
brj-24395	208	76	evident	evident	ADJ
brj-24395	208	77	.	.	PUNCT
brj-24395	209	1	mtf	mtf	PROPN
brj-24395	209	2	is	be	AUX
brj-24395	209	3	key	key	ADJ
brj-24395	209	4	for	for	ADP
brj-24395	209	5	feature	feature	NOUN
brj-24395	209	6	extraction	extraction	NOUN
brj-24395	209	7	and	and	CCONJ
brj-24395	209	8	noise	noise	NOUN
brj-24395	209	9	reduction	reduction	NOUN
brj-24395	209	10	.	.	PUNCT
brj-24395	210	1	it	it	PRON
brj-24395	210	2	boosted	boost	VERB
brj-24395	210	3	classification	classification	NOUN
brj-24395	210	4	accuracy	accuracy	NOUN
brj-24395	210	5	by	by	ADP
brj-24395	210	6	about	about	ADV
brj-24395	210	7	10	10	NUM
brj-24395	210	8	%	%	NOUN
brj-24395	210	9	compared	compare	VERB
brj-24395	210	10	to	to	ADP
brj-24395	210	11	gaf	gaf	PROPN
brj-24395	210	12	and	and	CCONJ
brj-24395	210	13	rp	rp	NOUN
brj-24395	210	14	.	.	PROPN
brj-24395	210	15	mtf	mtf	PROPN
brj-24395	210	16	-	-	PUNCT
brj-24395	210	17	cnn	cnn	PROPN
brj-24395	210	18	vs.	vs.	ADP
brj-24395	210	19	mtf	mtf	PROPN
brj-24395	210	20	-	-	PUNCT
brj-24395	210	21	sknet	sknet	NOUN
brj-24395	210	22	showed	show	VERB
brj-24395	210	23	another	another	DET
brj-24395	210	24	layer	layer	NOUN
brj-24395	210	25	of	of	ADP
brj-24395	210	26	difference	difference	NOUN
brj-24395	210	27	.	.	PUNCT
brj-24395	211	1	sknet	sknet	NOUN
brj-24395	211	2	excels	excel	NOUN
brj-24395	211	3	in	in	ADP
brj-24395	211	4	selecting	select	VERB
brj-24395	211	5	and	and	CCONJ
brj-24395	211	6	extracting	extract	VERB
brj-24395	211	7	feature	feature	NOUN
brj-24395	211	8	scales	scale	NOUN
brj-24395	211	9	.	.	PUNCT
brj-24395	212	1	this	this	PRON
brj-24395	212	2	is	be	AUX
brj-24395	212	3	vital	vital	ADJ
brj-24395	212	4	for	for	ADP
brj-24395	212	5	complex	complex	ADJ
brj-24395	212	6	2d	2d	NUM
brj-24395	212	7	images	image	NOUN
brj-24395	212	8	.	.	PUNCT
brj-24395	213	1	it	it	PRON
brj-24395	213	2	improved	improve	VERB
brj-24395	213	3	accuracy	accuracy	NOUN
brj-24395	213	4	by	by	ADP
brj-24395	213	5	around	around	ADV
brj-24395	213	6	2	2	NUM
brj-24395	213	7	to	to	PART
brj-24395	213	8	5	5	NUM
brj-24395	213	9	%	%	NOUN
brj-24395	213	10	.	.	PUNCT
brj-24395	214	1	the	the	DET
brj-24395	214	2	mtf	mtf	PROPN
brj-24395	214	3	-	-	PUNCT
brj-24395	214	4	sknet	sknet	NOUN
brj-24395	214	5	algorithm	algorithm	NOUN
brj-24395	214	6	exhibited	exhibit	VERB
brj-24395	214	7	a	a	DET
brj-24395	214	8	marginally	marginally	ADV
brj-24395	214	9	higher	high	ADJ
brj-24395	214	10	accuracy	accuracy	NOUN
brj-24395	214	11	in	in	ADP
brj-24395	214	12	comparisons	comparison	NOUN
brj-24395	214	13	,	,	PUNCT
brj-24395	214	14	with	with	ADP
brj-24395	214	15	pca	pca	PROPN
brj-24395	214	16	-	-	PUNCT
brj-24395	214	17	svc	svc	PROPN
brj-24395	214	18	also	also	ADV
brj-24395	214	19	achieving	achieve	VERB
brj-24395	214	20	a	a	DET
brj-24395	214	21	commendable	commendable	ADJ
brj-24395	214	22	accuracy	accuracy	NOUN
brj-24395	214	23	rate	rate	NOUN
brj-24395	214	24	of	of	ADP
brj-24395	214	25	92.6	92.6	NUM
brj-24395	214	26	%	%	NOUN
brj-24395	214	27	.	.	PUNCT
brj-24395	215	1	the	the	DET
brj-24395	215	2	slight	slight	ADJ
brj-24395	215	3	difference	difference	NOUN
brj-24395	215	4	in	in	ADP
brj-24395	215	5	accuracy	accuracy	NOUN
brj-24395	215	6	between	between	ADP
brj-24395	215	7	mtf	mtf	NOUN
brj-24395	215	8	-	-	PUNCT
brj-24395	215	9	sknet	sknet	NOUN
brj-24395	215	10	and	and	CCONJ
brj-24395	215	11	pca	pca	PROPN
brj-24395	215	12	-	-	PUNCT
brj-24395	215	13	svc	svc	PROPN
brj-24395	215	14	,	,	PUNCT
brj-24395	215	15	with	with	ADP
brj-24395	215	16	mtf	mtf	NOUN
brj-24395	215	17	-	-	PUNCT
brj-24395	215	18	sknet	sknet	NOUN
brj-24395	215	19	scoring	scoring	NOUN
brj-24395	215	20	93.2	93.2	NUM
brj-24395	215	21	%	%	NOUN
brj-24395	215	22	,	,	PUNCT
brj-24395	215	23	underscores	underscore	VERB
brj-24395	215	24	the	the	DET
brj-24395	215	25	importance	importance	NOUN
brj-24395	215	26	of	of	ADP
brj-24395	215	27	sophisticated	sophisticated	ADJ
brj-24395	215	28	feature	feature	NOUN
brj-24395	215	29	extraction	extraction	NOUN
brj-24395	215	30	techniques	technique	NOUN
brj-24395	215	31	in	in	ADP
brj-24395	215	32	high	high	ADV
brj-24395	215	33	-	-	PUNCT
brj-24395	215	34	dimensional	dimensional	ADJ
brj-24395	215	35	mid	mid	ADJ
brj-24395	215	36	-	-	ADJ
brj-24395	215	37	infrared	infrared	ADJ
brj-24395	215	38	spectral	spectral	ADJ
brj-24395	215	39	data	datum	NOUN
brj-24395	215	40	.	.	PUNCT
brj-24395	216	1	svc	svc	PROPN
brj-24395	216	2	’s	’s	PART
brj-24395	216	3	lower	low	ADJ
brj-24395	216	4	accuracy	accuracy	NOUN
brj-24395	216	5	can	can	AUX
brj-24395	216	6	be	be	AUX
brj-24395	216	7	attributed	attribute	VERB
brj-24395	216	8	to	to	ADP
brj-24395	216	9	the	the	DET
brj-24395	216	10	lack	lack	NOUN
brj-24395	216	11	of	of	ADP
brj-24395	216	12	effective	effective	ADJ
brj-24395	216	13	feature	feature	NOUN
brj-24395	216	14	extraction	extraction	NOUN
brj-24395	216	15	in	in	ADP
brj-24395	216	16	high	high	ADV
brj-24395	216	17	-	-	PUNCT
brj-24395	216	18	dimensional	dimensional	ADJ
brj-24395	216	19	mid	mid	ADJ
brj-24395	216	20	-	-	ADJ
brj-24395	216	21	infrared	infrared	ADJ
brj-24395	216	22	spectral	spectral	ADJ
brj-24395	216	23	data	data	PROPN
brj-24395	216	24	,	,	PUNCT
brj-24395	216	25	leading	lead	VERB
brj-24395	216	26	to	to	ADP
brj-24395	216	27	poor	poor	ADJ
brj-24395	216	28	classification	classification	NOUN
brj-24395	216	29	.	.	PUNCT
brj-24395	217	1	this	this	DET
brj-24395	217	2	highlights	highlight	VERB
brj-24395	217	3	the	the	DET
brj-24395	217	4	significance	significance	NOUN
brj-24395	217	5	of	of	ADP
brj-24395	217	6	feature	feature	NOUN
brj-24395	217	7	extraction	extraction	NOUN
brj-24395	217	8	and	and	CCONJ
brj-24395	217	9	dimension	dimension	NOUN
brj-24395	217	10	reduction	reduction	NOUN
brj-24395	217	11	.	.	PUNCT
brj-24395	218	1	sknet	sknet	NOUN
brj-24395	218	2	’s	’s	PART
brj-24395	218	3	adaptability	adaptability	NOUN
brj-24395	218	4	in	in	ADP
brj-24395	218	5	extracting	extract	VERB
brj-24395	218	6	features	feature	NOUN
brj-24395	218	7	of	of	ADP
brj-24395	218	8	different	different	ADJ
brj-24395	218	9	sizes	size	NOUN
brj-24395	218	10	was	be	AUX
brj-24395	218	11	demonstrated	demonstrate	VERB
brj-24395	218	12	by	by	ADP
brj-24395	218	13	its	its	PRON
brj-24395	218	14	performance	performance	NOUN
brj-24395	218	15	compared	compare	VERB
brj-24395	218	16	to	to	ADP
brj-24395	218	17	mtf	mtf	PROPN
brj-24395	218	18	-	-	PUNCT
brj-24395	218	19	cnn	cnn	PROPN
brj-24395	218	20	,	,	PUNCT
brj-24395	218	21	ensuring	ensure	VERB
brj-24395	218	22	accurate	accurate	ADJ
brj-24395	218	23	predictions	prediction	NOUN
brj-24395	218	24	.	.	PUNCT
brj-24395	219	1	the	the	DET
brj-24395	219	2	experiment	experiment	NOUN
brj-24395	219	3	confirmed	confirm	VERB
brj-24395	219	4	sknet	sknet	NOUN
brj-24395	219	5	’s	’s	PART
brj-24395	219	6	suitability	suitability	NOUN
brj-24395	219	7	for	for	ADP
brj-24395	219	8	mtf	mtf	NOUN
brj-24395	219	9	-	-	PUNCT
brj-24395	219	10	generated	generate	VERB
brj-24395	219	11	two	two	NUM
brj-24395	219	12	-	-	PUNCT
brj-24395	219	13	dimensional	dimensional	ADJ
brj-24395	219	14	data	datum	NOUN
brj-24395	219	15	,	,	PUNCT
brj-24395	219	16	with	with	ADP
brj-24395	219	17	the	the	DET
brj-24395	219	18	confusion	confusion	NOUN
brj-24395	219	19	matrix	matrix	NOUN
brj-24395	219	20	for	for	ADP
brj-24395	219	21	the	the	DET
brj-24395	219	22	predicted	predict	VERB
brj-24395	219	23	results	result	NOUN
brj-24395	219	24	shown	show	VERB
brj-24395	219	25	in	in	ADP
brj-24395	219	26	fig	fig	NOUN
brj-24395	219	27	.	.	PUNCT
brj-24395	220	1	6	6	NUM
brj-24395	220	2	.	.	X
brj-24395	220	3	fig	fig	NOUN
brj-24395	220	4	.	.	PUNCT
brj-24395	221	1	6	6	NUM
brj-24395	221	2	.	.	X
brj-24395	221	3	confusion	confusion	NOUN
brj-24395	221	4	matrix	matrix	NOUN
brj-24395	221	5	of	of	ADP
brj-24395	221	6	the	the	DET
brj-24395	221	7	mtf	mtf	ADJ
brj-24395	221	8	-	-	PUNCT
brj-24395	221	9	sknet	sknet	NOUN
brj-24395	221	10	algorithm	algorithm	NOUN
brj-24395	221	11	the	the	DET
brj-24395	221	12	label	label	NOUN
brj-24395	221	13	is	be	AUX
brj-24395	221	14	simplified	simplify	VERB
brj-24395	221	15	to	to	ADP
brj-24395	221	16	“	"	PUNCT
brj-24395	221	17	rosewood	rosewood	NOUN
brj-24395	221	18	”	"	PUNCT
brj-24395	221	19	and	and	CCONJ
brj-24395	221	20	“	"	PUNCT
brj-24395	221	21	non	non	ADJ
brj-24395	221	22	-	-	NOUN
brj-24395	221	23	rosewood	rosewood	ADJ
brj-24395	221	24	,	,	PUNCT
brj-24395	221	25	”	"	PUNCT
brj-24395	221	26	thus	thus	ADV
brj-24395	221	27	turning	turn	VERB
brj-24395	221	28	the	the	DET
brj-24395	221	29	prediction	prediction	NOUN
brj-24395	221	30	results	result	NOUN
brj-24395	221	31	into	into	ADP
brj-24395	221	32	a	a	DET
brj-24395	221	33	binary	binary	ADJ
brj-24395	221	34	classification	classification	NOUN
brj-24395	221	35	for	for	ADP
brj-24395	221	36	the	the	DET
brj-24395	221	37	model	model	NOUN
brj-24395	221	38	.	.	PUNCT
brj-24395	222	1	after	after	ADP
brj-24395	222	2	retraining	retrain	VERB
brj-24395	222	3	the	the	DET
brj-24395	222	4	model	model	NOUN
brj-24395	222	5	,	,	PUNCT
brj-24395	222	6	an	an	DET
brj-24395	222	7	peer	peer	NOUN
brj-24395	222	8	-	-	PUNCT
brj-24395	222	9	reviewed	review	VERB
brj-24395	222	10	article	article	NOUN
brj-24395	222	11	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24395	222	12	xin	xin	PROPN
brj-24395	222	13	et	et	PROPN
brj-24395	222	14	al	al	PROPN
brj-24395	222	15	.	.	PROPN
brj-24395	223	1	(	(	PUNCT
brj-24395	223	2	2025	2025	NUM
brj-24395	223	3	)	)	PUNCT
brj-24395	223	4	.	.	PUNCT
brj-24395	224	1	“	"	PUNCT
brj-24395	224	2	wood	wood	NOUN
brj-24395	224	3	species	specie	NOUN
brj-24395	224	4	i	i	NOUN
brj-24395	224	5	d	d	PROPN
brj-24395	224	6	by	by	ADP
brj-24395	224	7	infrared	infrared	NOUN
brj-24395	224	8	,	,	PUNCT
brj-24395	224	9	”	"	PUNCT
brj-24395	224	10	bioresources	bioresource	NOUN
brj-24395	224	11	20(2	20(2	NUM
brj-24395	224	12	)	)	PUNCT
brj-24395	224	13	,	,	PUNCT
brj-24395	224	14	4464	4464	NUM
brj-24395	224	15	-	-	SYM
brj-24395	224	16	4478	4478	NUM
brj-24395	224	17	.	.	PUNCT
brj-24395	225	1	4476	4476	NUM
brj-24395	225	2	independent	independent	ADJ
brj-24395	225	3	dataset	dataset	NOUN
brj-24395	225	4	was	be	AUX
brj-24395	225	5	employed	employ	VERB
brj-24395	225	6	that	that	PRON
brj-24395	225	7	had	have	AUX
brj-24395	225	8	been	be	AUX
brj-24395	225	9	collected	collect	VERB
brj-24395	225	10	from	from	ADP
brj-24395	225	11	separately	separately	ADV
brj-24395	225	12	purchased	purchase	VERB
brj-24395	225	13	samples	sample	NOUN
brj-24395	225	14	,	,	PUNCT
brj-24395	225	15	which	which	PRON
brj-24395	225	16	underwent	undergo	VERB
brj-24395	225	17	the	the	DET
brj-24395	225	18	same	same	ADJ
brj-24395	225	19	processing	processing	NOUN
brj-24395	225	20	methods	method	NOUN
brj-24395	225	21	as	as	ADP
brj-24395	225	22	the	the	DET
brj-24395	225	23	previous	previous	ADJ
brj-24395	225	24	samples	sample	NOUN
brj-24395	225	25	.	.	PUNCT
brj-24395	226	1	the	the	DET
brj-24395	226	2	dataset	dataset	NOUN
brj-24395	226	3	consisted	consist	VERB
brj-24395	226	4	of	of	ADP
brj-24395	226	5	six	six	NUM
brj-24395	226	6	species	specie	NOUN
brj-24395	226	7	:	:	PUNCT
brj-24395	226	8	three	three	NUM
brj-24395	226	9	types	type	NOUN
brj-24395	226	10	of	of	ADP
brj-24395	226	11	rosewood	rosewood	NOUN
brj-24395	226	12	(	(	PUNCT
brj-24395	226	13	dalbergia	dalbergia	NOUN
brj-24395	226	14	cochinchinensis	cochinchinensis	NOUN
brj-24395	226	15	,	,	PUNCT
brj-24395	226	16	dalbergia	dalbergia	NOUN
brj-24395	226	17	sissoo	sissoo	NOUN
brj-24395	226	18	,	,	PUNCT
brj-24395	226	19	and	and	CCONJ
brj-24395	226	20	dalbergia	dalbergia	PROPN
brj-24395	226	21	melanoxylon	melanoxylon	PROPN
brj-24395	226	22	)	)	PUNCT
brj-24395	226	23	and	and	CCONJ
brj-24395	226	24	three	three	NUM
brj-24395	226	25	types	type	NOUN
brj-24395	226	26	of	of	ADP
brj-24395	226	27	non	non	ADJ
brj-24395	226	28	-	-	ADJ
brj-24395	226	29	rosewood	rosewood	ADJ
brj-24395	226	30	(	(	PUNCT
brj-24395	226	31	pinus	pinus	NOUN
brj-24395	226	32	sylvestris	sylvestris	NOUN
brj-24395	226	33	,	,	PUNCT
brj-24395	226	34	populus	populus	NOUN
brj-24395	226	35	adenopoda	adenopoda	NOUN
brj-24395	226	36	,	,	PUNCT
brj-24395	226	37	and	and	CCONJ
brj-24395	226	38	quercus	quercus	ADJ
brj-24395	226	39	alba	alba	NOUN
brj-24395	226	40	)	)	PUNCT
brj-24395	226	41	,	,	PUNCT
brj-24395	226	42	with	with	ADP
brj-24395	226	43	five	five	NUM
brj-24395	226	44	samples	sample	NOUN
brj-24395	226	45	of	of	ADP
brj-24395	226	46	each	each	DET
brj-24395	226	47	species	specie	NOUN
brj-24395	226	48	,	,	PUNCT
brj-24395	226	49	totaling	total	VERB
brj-24395	226	50	30	30	NUM
brj-24395	226	51	samples	sample	NOUN
brj-24395	226	52	.	.	PUNCT
brj-24395	227	1	this	this	DET
brj-24395	227	2	dataset	dataset	NOUN
brj-24395	227	3	was	be	AUX
brj-24395	227	4	not	not	PART
brj-24395	227	5	involved	involve	VERB
brj-24395	227	6	in	in	ADP
brj-24395	227	7	the	the	DET
brj-24395	227	8	model	model	NOUN
brj-24395	227	9	training	training	NOUN
brj-24395	227	10	process	process	NOUN
brj-24395	227	11	,	,	PUNCT
brj-24395	227	12	ensuring	ensure	VERB
brj-24395	227	13	the	the	DET
brj-24395	227	14	independence	independence	NOUN
brj-24395	227	15	of	of	ADP
brj-24395	227	16	the	the	DET
brj-24395	227	17	validation	validation	NOUN
brj-24395	227	18	data	datum	NOUN
brj-24395	227	19	.	.	PUNCT
brj-24395	228	1	the	the	DET
brj-24395	228	2	accuracy	accuracy	NOUN
brj-24395	228	3	rates	rate	NOUN
brj-24395	228	4	of	of	ADP
brj-24395	228	5	the	the	DET
brj-24395	228	6	algorithms	algorithm	NOUN
brj-24395	228	7	are	be	AUX
brj-24395	228	8	compared	compare	VERB
brj-24395	228	9	as	as	SCONJ
brj-24395	228	10	follows	follow	VERB
brj-24395	228	11	:	:	PUNCT
brj-24395	228	12	table	table	NOUN
brj-24395	228	13	4	4	NUM
brj-24395	228	14	.	.	PUNCT
brj-24395	228	15	comparison	comparison	NOUN
brj-24395	228	16	of	of	ADP
brj-24395	228	17	classification	classification	NOUN
brj-24395	228	18	accuracy	accuracy	NOUN
brj-24395	228	19	rates	rate	NOUN
brj-24395	228	20	for	for	ADP
brj-24395	228	21	wood	wood	NOUN
brj-24395	228	22	category	category	NOUN
brj-24395	228	23	method	method	NOUN
brj-24395	228	24	svc	svc	PROPN
brj-24395	228	25	pca	pca	PROPN
brj-24395	228	26	-	-	PUNCT
brj-24395	228	27	svc	svc	PROPN
brj-24395	228	28	mtf	mtf	PROPN
brj-24395	228	29	-	-	PUNCT
brj-24395	228	30	cnn	cnn	PROPN
brj-24395	228	31	mtf	mtf	PROPN
brj-24395	228	32	-	-	PUNCT
brj-24395	228	33	sknet	sknet	NOUN
brj-24395	228	34	rp	rp	PROPN
brj-24395	228	35	-	-	PUNCT
brj-24395	228	36	cnn	cnn	PROPN
brj-24395	228	37	gaf	gaf	PROPN
brj-24395	228	38	-	-	PROPN
brj-24395	228	39	cnn	cnn	PROPN
brj-24395	228	40	accuracy	accuracy	NOUN
brj-24395	228	41	42.6	42.6	NUM
brj-24395	228	42	%	%	NOUN
brj-24395	228	43	85.6	85.6	NUM
brj-24395	228	44	%	%	NOUN
brj-24395	228	45	83.2	83.2	NUM
brj-24395	228	46	%	%	NOUN
brj-24395	228	47	96.0	96.0	NUM
brj-24395	228	48	%	%	NOUN
brj-24395	228	49	90.4	90.4	NUM
brj-24395	228	50	%	%	NOUN
brj-24395	228	51	79.7	79.7	NUM
brj-24395	228	52	%	%	NOUN
brj-24395	228	53	for	for	ADP
brj-24395	228	54	directly	directly	ADV
brj-24395	228	55	representing	represent	VERB
brj-24395	228	56	binary	binary	ADJ
brj-24395	228	57	classification	classification	NOUN
brj-24395	228	58	,	,	PUNCT
brj-24395	228	59	the	the	DET
brj-24395	228	60	mtf	mtf	NOUN
brj-24395	228	61	-	-	PUNCT
brj-24395	228	62	sknet	sknet	NOUN
brj-24395	228	63	algorithm	algorithm	NOUN
brj-24395	228	64	reduces	reduce	VERB
brj-24395	228	65	data	datum	NOUN
brj-24395	228	66	details	detail	NOUN
brj-24395	228	67	,	,	PUNCT
brj-24395	228	68	extracts	extract	VERB
brj-24395	228	69	data	datum	NOUN
brj-24395	228	70	features	feature	NOUN
brj-24395	228	71	,	,	PUNCT
brj-24395	228	72	and	and	CCONJ
brj-24395	228	73	improves	improve	VERB
brj-24395	228	74	accuracy	accuracy	NOUN
brj-24395	228	75	.	.	PUNCT
brj-24395	229	1	therefore	therefore	ADV
brj-24395	229	2	,	,	PUNCT
brj-24395	229	3	it	it	PRON
brj-24395	229	4	has	have	VERB
brj-24395	229	5	a	a	DET
brj-24395	229	6	higher	high	ADJ
brj-24395	229	7	resistance	resistance	NOUN
brj-24395	229	8	to	to	ADP
brj-24395	229	9	label	label	NOUN
brj-24395	229	10	ambiguity	ambiguity	NOUN
brj-24395	229	11	compared	compare	VERB
brj-24395	229	12	to	to	ADP
brj-24395	229	13	the	the	DET
brj-24395	229	14	pca	pca	PROPN
brj-24395	229	15	-	-	PUNCT
brj-24395	229	16	svc	svc	PROPN
brj-24395	229	17	algorithm	algorithm	NOUN
brj-24395	229	18	.	.	PUNCT
brj-24395	230	1	this	this	DET
brj-24395	230	2	data	datum	NOUN
brj-24395	230	3	reflects	reflect	VERB
brj-24395	230	4	the	the	DET
brj-24395	230	5	stronger	strong	ADJ
brj-24395	230	6	generalization	generalization	NOUN
brj-24395	230	7	ability	ability	NOUN
brj-24395	230	8	of	of	ADP
brj-24395	230	9	the	the	DET
brj-24395	230	10	mtf	mtf	ADJ
brj-24395	230	11	-	-	PUNCT
brj-24395	230	12	sknet	sknet	NOUN
brj-24395	230	13	algorithm	algorithm	NOUN
brj-24395	230	14	.	.	PUNCT
brj-24395	231	1	conclusions	conclusion	NOUN
brj-24395	231	2	1	1	X
brj-24395	231	3	.	.	PUNCT
brj-24395	232	1	the	the	DET
brj-24395	232	2	mtf	mtf	PROPN
brj-24395	232	3	-	-	PUNCT
brj-24395	232	4	sknet	sknet	NOUN
brj-24395	232	5	algorithm	algorithm	NOUN
brj-24395	232	6	demonstrated	demonstrate	VERB
brj-24395	232	7	robust	robust	ADJ
brj-24395	232	8	performance	performance	NOUN
brj-24395	232	9	in	in	ADP
brj-24395	232	10	differentiating	differentiate	VERB
brj-24395	232	11	wood	wood	NOUN
brj-24395	232	12	species	specie	NOUN
brj-24395	232	13	and	and	CCONJ
brj-24395	232	14	broader	broad	ADJ
brj-24395	232	15	commercial	commercial	ADJ
brj-24395	232	16	categories	category	NOUN
brj-24395	232	17	,	,	PUNCT
brj-24395	232	18	achieving	achieve	VERB
brj-24395	232	19	93.2	93.2	NUM
brj-24395	232	20	%	%	NOUN
brj-24395	232	21	accuracy	accuracy	NOUN
brj-24395	232	22	with	with	ADP
brj-24395	232	23	strong	strong	ADJ
brj-24395	232	24	generalization	generalization	NOUN
brj-24395	232	25	(	(	PUNCT
brj-24395	232	26	96.0	96.0	NUM
brj-24395	232	27	%	%	NOUN
brj-24395	232	28	for	for	ADP
brj-24395	232	29	rosewood	rosewood	ADJ
brj-24395	232	30	classification	classification	NOUN
brj-24395	232	31	with	with	ADP
brj-24395	232	32	new	new	ADJ
brj-24395	232	33	samples	sample	NOUN
brj-24395	232	34	)	)	PUNCT
brj-24395	232	35	.	.	PUNCT
brj-24395	233	1	2	2	X
brj-24395	233	2	.	.	X
brj-24395	233	3	the	the	DET
brj-24395	233	4	hierarchical	hierarchical	ADJ
brj-24395	233	5	clustering	clustering	ADJ
brj-24395	233	6	analysis	analysis	NOUN
brj-24395	233	7	revealed	reveal	VERB
brj-24395	233	8	that	that	SCONJ
brj-24395	233	9	the	the	DET
brj-24395	233	10	spectral	spectral	ADJ
brj-24395	233	11	differences	difference	NOUN
brj-24395	233	12	between	between	ADP
brj-24395	233	13	species	specie	NOUN
brj-24395	233	14	and	and	CCONJ
brj-24395	233	15	within	within	ADP
brj-24395	233	16	species	specie	NOUN
brj-24395	233	17	are	be	AUX
brj-24395	233	18	localized	localize	VERB
brj-24395	233	19	in	in	ADP
brj-24395	233	20	distinct	distinct	ADJ
brj-24395	233	21	mid	mid	ADJ
brj-24395	233	22	-	-	ADJ
brj-24395	233	23	infrared	infrared	ADJ
brj-24395	233	24	spectral	spectral	ADJ
brj-24395	233	25	regions	region	NOUN
brj-24395	233	26	,	,	PUNCT
brj-24395	233	27	indicative	indicative	ADJ
brj-24395	233	28	of	of	ADP
brj-24395	233	29	unique	unique	ADJ
brj-24395	233	30	material	material	NOUN
brj-24395	233	31	composition	composition	NOUN
brj-24395	233	32	variations	variation	NOUN
brj-24395	233	33	among	among	ADP
brj-24395	233	34	the	the	DET
brj-24395	233	35	tree	tree	NOUN
brj-24395	233	36	samples	sample	NOUN
brj-24395	233	37	studied	study	VERB
brj-24395	233	38	.	.	PUNCT
brj-24395	234	1	3	3	X
brj-24395	234	2	.	.	X
brj-24395	234	3	the	the	DET
brj-24395	234	4	manual	manual	ADJ
brj-24395	234	5	definition	definition	NOUN
brj-24395	234	6	of	of	ADP
brj-24395	234	7	state	state	NOUN
brj-24395	234	8	positions	position	NOUN
brj-24395	234	9	in	in	ADP
brj-24395	234	10	the	the	DET
brj-24395	234	11	mtf	mtf	NOUN
brj-24395	234	12	two	two	NUM
brj-24395	234	13	-	-	PUNCT
brj-24395	234	14	dimensional	dimensional	ADJ
brj-24395	234	15	method	method	NOUN
brj-24395	234	16	allows	allow	VERB
brj-24395	234	17	for	for	ADP
brj-24395	234	18	the	the	DET
brj-24395	234	19	leveraging	leveraging	NOUN
brj-24395	234	20	of	of	ADP
brj-24395	234	21	prior	prior	ADJ
brj-24395	234	22	knowledge	knowledge	NOUN
brj-24395	234	23	,	,	PUNCT
brj-24395	234	24	which	which	PRON
brj-24395	234	25	is	be	AUX
brj-24395	234	26	instrumental	instrumental	ADJ
brj-24395	234	27	in	in	ADP
brj-24395	234	28	the	the	DET
brj-24395	234	29	selective	selective	ADJ
brj-24395	234	30	filtering	filtering	NOUN
brj-24395	234	31	and	and	CCONJ
brj-24395	234	32	extraction	extraction	NOUN
brj-24395	234	33	of	of	ADP
brj-24395	234	34	discriminative	discriminative	NOUN
brj-24395	234	35	features	feature	NOUN
brj-24395	234	36	from	from	ADP
brj-24395	234	37	the	the	DET
brj-24395	234	38	spectral	spectral	ADJ
brj-24395	234	39	data	datum	NOUN
brj-24395	234	40	.	.	PUNCT
brj-24395	235	1	4	4	X
brj-24395	235	2	.	.	X
brj-24395	235	3	the	the	DET
brj-24395	235	4	research	research	NOUN
brj-24395	235	5	underscores	underscore	VERB
brj-24395	235	6	the	the	DET
brj-24395	235	7	potential	potential	NOUN
brj-24395	235	8	of	of	ADP
brj-24395	235	9	advanced	advanced	ADJ
brj-24395	235	10	machine	machine	NOUN
brj-24395	235	11	learning	learn	VERB
brj-24395	235	12	techniques	technique	NOUN
brj-24395	235	13	,	,	PUNCT
brj-24395	235	14	such	such	ADJ
brj-24395	235	15	as	as	ADP
brj-24395	235	16	the	the	DET
brj-24395	235	17	mtf	mtf	PROPN
brj-24395	235	18	-	-	PUNCT
brj-24395	235	19	sknet	sknet	NOUN
brj-24395	235	20	algorithm	algorithm	NOUN
brj-24395	235	21	,	,	PUNCT
brj-24395	235	22	for	for	ADP
brj-24395	235	23	the	the	DET
brj-24395	235	24	accurate	accurate	ADJ
brj-24395	235	25	and	and	CCONJ
brj-24395	235	26	efficient	efficient	ADJ
brj-24395	235	27	identification	identification	NOUN
brj-24395	235	28	of	of	ADP
brj-24395	235	29	wood	wood	NOUN
brj-24395	235	30	species	specie	NOUN
brj-24395	235	31	,	,	PUNCT
brj-24395	235	32	which	which	PRON
brj-24395	235	33	could	could	AUX
brj-24395	235	34	have	have	VERB
brj-24395	235	35	significant	significant	ADJ
brj-24395	235	36	implications	implication	NOUN
brj-24395	235	37	for	for	ADP
brj-24395	235	38	the	the	DET
brj-24395	235	39	timber	timber	NOUN
brj-24395	235	40	industry	industry	NOUN
brj-24395	235	41	,	,	PUNCT
brj-24395	235	42	conservation	conservation	NOUN
brj-24395	235	43	efforts	effort	NOUN
brj-24395	235	44	,	,	PUNCT
brj-24395	235	45	and	and	CCONJ
brj-24395	235	46	regulatory	regulatory	ADJ
brj-24395	235	47	compliance	compliance	NOUN
brj-24395	235	48	.	.	PUNCT
brj-24395	236	1	5	5	X
brj-24395	236	2	.	.	PUNCT
brj-24395	236	3	the	the	DET
brj-24395	236	4	findings	finding	NOUN
brj-24395	236	5	of	of	ADP
brj-24395	236	6	this	this	DET
brj-24395	236	7	study	study	NOUN
brj-24395	236	8	contribute	contribute	VERB
brj-24395	236	9	to	to	ADP
brj-24395	236	10	the	the	DET
brj-24395	236	11	broader	broad	ADJ
brj-24395	236	12	understanding	understanding	NOUN
brj-24395	236	13	of	of	ADP
brj-24395	236	14	the	the	DET
brj-24395	236	15	spectral	spectral	ADJ
brj-24395	236	16	characteristics	characteristic	NOUN
brj-24395	236	17	of	of	ADP
brj-24395	236	18	wood	wood	NOUN
brj-24395	236	19	and	and	CCONJ
brj-24395	236	20	the	the	DET
brj-24395	236	21	development	development	NOUN
brj-24395	236	22	of	of	ADP
brj-24395	236	23	analytical	analytical	ADJ
brj-24395	236	24	methods	method	NOUN
brj-24395	236	25	that	that	PRON
brj-24395	236	26	can	can	AUX
brj-24395	236	27	be	be	AUX
brj-24395	236	28	applied	apply	VERB
brj-24395	236	29	to	to	ADP
brj-24395	236	30	a	a	DET
brj-24395	236	31	wide	wide	ADJ
brj-24395	236	32	range	range	NOUN
brj-24395	236	33	of	of	ADP
brj-24395	236	34	forensic	forensic	ADJ
brj-24395	236	35	,	,	PUNCT
brj-24395	236	36	ecological	ecological	ADJ
brj-24395	236	37	,	,	PUNCT
brj-24395	236	38	and	and	CCONJ
brj-24395	236	39	industrial	industrial	ADJ
brj-24395	236	40	challenges	challenge	NOUN
brj-24395	236	41	.	.	PUNCT
brj-24395	237	1	acknowledgments	acknowledgment	NOUN
brj-24395	237	2	the	the	DET
brj-24395	237	3	authors	author	NOUN
brj-24395	237	4	are	be	AUX
brj-24395	237	5	grateful	grateful	ADJ
brj-24395	237	6	for	for	ADP
brj-24395	237	7	the	the	DET
brj-24395	237	8	support	support	NOUN
brj-24395	237	9	of	of	ADP
brj-24395	237	10	the	the	DET
brj-24395	237	11	national	national	ADJ
brj-24395	237	12	key	key	ADJ
brj-24395	237	13	r&d	r&d	NOUN
brj-24395	237	14	program	program	NOUN
brj-24395	237	15	of	of	ADP
brj-24395	237	16	china	china	PROPN
brj-24395	237	17	grant	grant	VERB
brj-24395	237	18	no	no	PRON
brj-24395	237	19	.	.	PROPN
brj-24395	237	20	2021yff0601201	2021yff0601201	NUM
brj-24395	237	21	,	,	PUNCT
brj-24395	237	22	2021yff0601202	2021yff0601202	NUM
brj-24395	237	23	,	,	PUNCT
brj-24395	237	24	2021yff0601200	2021yff0601200	NUM
brj-24395	237	25	and	and	CCONJ
brj-24395	237	26	the	the	DET
brj-24395	237	27	national	national	ADJ
brj-24395	237	28	natural	natural	PROPN
brj-24395	237	29	science	science	PROPN
brj-24395	237	30	foundation	foundation	PROPN
brj-24395	237	31	of	of	ADP
brj-24395	237	32	china	china	PROPN
brj-24395	237	33	grant	grant	VERB
brj-24395	237	34	no	no	NOUN
brj-24395	237	35	.	.	NOUN
brj-24395	237	36	42074210	42074210	NUM
brj-24395	237	37	.	.	PUNCT
brj-24395	238	1	peer	peer	NOUN
brj-24395	238	2	-	-	PUNCT
brj-24395	238	3	reviewed	review	VERB
brj-24395	238	4	article	article	NOUN
brj-24395	238	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24395	238	6	xin	xin	PROPN
brj-24395	238	7	et	et	PROPN
brj-24395	238	8	al	al	PROPN
brj-24395	238	9	.	.	PROPN
brj-24395	239	1	(	(	PUNCT
brj-24395	239	2	2025	2025	NUM
brj-24395	239	3	)	)	PUNCT
brj-24395	239	4	.	.	PUNCT
brj-24395	240	1	“	"	PUNCT
brj-24395	240	2	wood	wood	NOUN
brj-24395	240	3	species	specie	NOUN
brj-24395	240	4	i	i	NOUN
brj-24395	240	5	d	d	PROPN
brj-24395	240	6	by	by	ADP
brj-24395	240	7	infrared	infrared	NOUN
brj-24395	240	8	,	,	PUNCT
brj-24395	240	9	”	"	PUNCT
brj-24395	240	10	bioresources	bioresource	NOUN
brj-24395	240	11	20(2	20(2	NUM
brj-24395	240	12	)	)	PUNCT
brj-24395	240	13	,	,	PUNCT
brj-24395	240	14	4464	4464	NUM
brj-24395	240	15	-	-	SYM
brj-24395	240	16	4478	4478	NUM
brj-24395	240	17	.	.	PUNCT
brj-24395	241	1	4477	4477	NUM
brj-24395	241	2	references	reference	NOUN
brj-24395	241	3	cited	cite	VERB
brj-24395	241	4	abe	abe	PROPN
brj-24395	241	5	,	,	PUNCT
brj-24395	241	6	h.	h.	PROPN
brj-24395	241	7	(	(	PUNCT
brj-24395	241	8	2016	2016	NUM
brj-24395	241	9	)	)	PUNCT
brj-24395	241	10	.	.	PUNCT
brj-24395	242	1	“	"	PUNCT
brj-24395	242	2	importance	importance	NOUN
brj-24395	242	3	and	and	CCONJ
brj-24395	242	4	techniques	technique	NOUN
brj-24395	242	5	of	of	ADP
brj-24395	242	6	wood	wood	NOUN
brj-24395	242	7	species	specie	NOUN
brj-24395	242	8	identification	identification	NOUN
brj-24395	242	9	,	,	PUNCT
brj-24395	242	10	”	"	PUNCT
brj-24395	242	11	mokuzai	mokuzai	NOUN
brj-24395	242	12	gakkaishi	gakkaishi	PROPN
brj-24395	242	13	journal	journal	PROPN
brj-24395	242	14	62(6	62(6	PROPN
brj-24395	242	15	)	)	PUNCT
brj-24395	242	16	,	,	PUNCT
brj-24395	242	17	240	240	NUM
brj-24395	242	18	-	-	SYM
brj-24395	242	19	249	249	NUM
brj-24395	242	20	.	.	PUNCT
brj-24395	243	1	doi	doi	NOUN
brj-24395	243	2	:	:	PUNCT
brj-24395	243	3	10.2488	10.2488	NUM
brj-24395	243	4	/	/	SYM
brj-24395	243	5	jwrs.62.240	jwrs.62.240	PROPN
brj-24395	243	6	das	das	PROPN
brj-24395	243	7	,	,	PUNCT
brj-24395	243	8	s.	s.	PROPN
brj-24395	243	9	,	,	PUNCT
brj-24395	243	10	paramane	paramane	ADJ
brj-24395	243	11	,	,	PUNCT
brj-24395	243	12	a.	a.	NOUN
brj-24395	243	13	,	,	PUNCT
brj-24395	243	14	chatterjee	chatterjee	PROPN
brj-24395	243	15	,	,	PUNCT
brj-24395	243	16	s.	s.	PROPN
brj-24395	243	17	,	,	PUNCT
brj-24395	243	18	and	and	CCONJ
brj-24395	243	19	mishra	mishra	PROPN
brj-24395	243	20	,	,	PUNCT
brj-24395	243	21	p.	p.	NOUN
brj-24395	243	22	(	(	PUNCT
brj-24395	243	23	2024	2024	NUM
brj-24395	243	24	)	)	PUNCT
brj-24395	243	25	.	.	PUNCT
brj-24395	244	1	“	"	PUNCT
brj-24395	244	2	recurrence	recurrence	NOUN
brj-24395	244	3	plot	plot	NOUN
brj-24395	244	4	-	-	PUNCT
brj-24395	244	5	aided	aid	VERB
brj-24395	244	6	deep	deep	ADJ
brj-24395	244	7	learning	learning	NOUN
brj-24395	244	8	framework	framework	NOUN
brj-24395	244	9	for	for	ADP
brj-24395	244	10	condition	condition	NOUN
brj-24395	244	11	monitoring	monitoring	NOUN
brj-24395	244	12	of	of	ADP
brj-24395	244	13	transformer	transformer	NOUN
brj-24395	244	14	insulation	insulation	NOUN
brj-24395	244	15	using	use	VERB
brj-24395	244	16	fourier	fourier	NOUN
brj-24395	244	17	transform	transform	NOUN
brj-24395	244	18	infrared	infrared	ADJ
brj-24395	244	19	spectroscopy	spectroscopy	NOUN
brj-24395	244	20	,	,	PUNCT
brj-24395	244	21	”	"	PUNCT
brj-24395	244	22	ieee	ieee	NOUN
brj-24395	244	23	transactions	transaction	NOUN
brj-24395	244	24	on	on	ADP
brj-24395	244	25	industry	industry	NOUN
brj-24395	244	26	applications	application	NOUN
brj-24395	244	27	pp	pp	ADP
brj-24395	244	28	:	:	PUNCT
brj-24395	244	29	110	110	NUM
brj-24395	244	30	.	.	X
brj-24395	245	1	doi	doi	NOUN
brj-24395	245	2	:	:	PUNCT
brj-24395	245	3	10.1109	10.1109	NUM
brj-24395	245	4	/	/	SYM
brj-24395	245	5	tia.2024.3430254	tia.2024.3430254	PRON
brj-24395	245	6	ding	ding	NOUN
brj-24395	245	7	,	,	PUNCT
brj-24395	245	8	y.	y.	NOUN
brj-24395	245	9	,	,	PUNCT
brj-24395	245	10	and	and	CCONJ
brj-24395	245	11	yin	yin	PROPN
brj-24395	245	12	,	,	PUNCT
brj-24395	245	13	z.	z.	PROPN
brj-24395	245	14	(	(	PUNCT
brj-24395	245	15	2024	2024	NUM
brj-24395	245	16	)	)	PUNCT
brj-24395	245	17	.	.	PUNCT
brj-24395	246	1	“	"	PUNCT
brj-24395	246	2	the	the	DET
brj-24395	246	3	study	study	NOUN
brj-24395	246	4	on	on	ADP
brj-24395	246	5	the	the	DET
brj-24395	246	6	effect	effect	NOUN
brj-24395	246	7	of	of	ADP
brj-24395	246	8	restrictive	restrictive	ADJ
brj-24395	246	9	rosewood	rosewood	NOUN
brj-24395	246	10	trade	trade	NOUN
brj-24395	246	11	policies	policy	NOUN
brj-24395	246	12	on	on	ADP
brj-24395	246	13	china	china	PROPN
brj-24395	246	14	’s	’s	PART
brj-24395	246	15	rosewood	rosewood	PROPN
brj-24395	246	16	import	import	NOUN
brj-24395	246	17	prices	price	NOUN
brj-24395	246	18	,	,	PUNCT
brj-24395	246	19	”	"	PUNCT
brj-24395	246	20	forestry	forestry	NOUN
brj-24395	246	21	economics	economic	NOUN
brj-24395	246	22	review	review	VERB
brj-24395	246	23	6	6	NUM
brj-24395	246	24	.	.	PUNCT
brj-24395	246	25	doi	doi	NOUN
brj-24395	246	26	:	:	PUNCT
brj-24395	246	27	10.1108	10.1108	NUM
brj-24395	246	28	/	/	SYM
brj-24395	246	29	fer-11	fer-11	NUM
brj-24395	246	30	-	-	PUNCT
brj-24395	246	31	2023	2023	NUM
brj-24395	246	32	-	-	PUNCT
brj-24395	246	33	0011	0011	NUM
brj-24395	246	34	grisanti	grisanti	PROPN
brj-24395	246	35	,	,	PUNCT
brj-24395	246	36	e.	e.	PROPN
brj-24395	246	37	,	,	PUNCT
brj-24395	246	38	totska	totska	PROPN
brj-24395	246	39	,	,	PUNCT
brj-24395	246	40	m.	m.	NOUN
brj-24395	246	41	,	,	PUNCT
brj-24395	246	42	huber	huber	PROPN
brj-24395	246	43	,	,	PUNCT
brj-24395	246	44	s.	s.	PROPN
brj-24395	246	45	,	,	PUNCT
brj-24395	246	46	calderon	calderon	PROPN
brj-24395	246	47	,	,	PUNCT
brj-24395	246	48	c.	c.	PROPN
brj-24395	246	49	,	,	PUNCT
brj-24395	246	50	hohmann	hohmann	NOUN
brj-24395	246	51	,	,	PUNCT
brj-24395	246	52	m.	m.	NOUN
brj-24395	246	53	,	,	PUNCT
brj-24395	246	54	lingenfelser	lingenfelser	PROPN
brj-24395	246	55	,	,	PUNCT
brj-24395	246	56	d.	d.	PROPN
brj-24395	246	57	,	,	PUNCT
brj-24395	246	58	and	and	CCONJ
brj-24395	246	59	otto	otto	PROPN
brj-24395	246	60	m.	m.	NOUN
brj-24395	246	61	(	(	PUNCT
brj-24395	246	62	2018	2018	NUM
brj-24395	246	63	)	)	PUNCT
brj-24395	246	64	.	.	PUNCT
brj-24395	247	1	“	"	PUNCT
brj-24395	247	2	dynamic	dynamic	ADJ
brj-24395	247	3	localized	localized	ADJ
brj-24395	247	4	snv	snv	NOUN
brj-24395	247	5	,	,	PUNCT
brj-24395	247	6	peak	peak	NOUN
brj-24395	247	7	snv	snv	NOUN
brj-24395	247	8	,	,	PUNCT
brj-24395	247	9	and	and	CCONJ
brj-24395	247	10	partial	partial	ADJ
brj-24395	247	11	peak	peak	NOUN
brj-24395	247	12	snv	snv	NOUN
brj-24395	247	13	:	:	PUNCT
brj-24395	247	14	novel	novel	ADJ
brj-24395	247	15	standardization	standardization	NOUN
brj-24395	247	16	methods	method	NOUN
brj-24395	247	17	for	for	ADP
brj-24395	247	18	preprocessing	preprocessing	NOUN
brj-24395	247	19	of	of	ADP
brj-24395	247	20	spectroscopic	spectroscopic	ADJ
brj-24395	247	21	data	datum	NOUN
brj-24395	247	22	used	use	VERB
brj-24395	247	23	in	in	ADP
brj-24395	247	24	predictive	predictive	ADJ
brj-24395	247	25	modeling	modeling	NOUN
brj-24395	247	26	,	,	PUNCT
brj-24395	247	27	”	"	PUNCT
brj-24395	247	28	journal	journal	NOUN
brj-24395	247	29	of	of	ADP
brj-24395	247	30	spectroscopy	spectroscopy	NOUN
brj-24395	247	31	2018	2018	NUM
brj-24395	247	32	,	,	PUNCT
brj-24395	247	33	1	1	NUM
brj-24395	247	34	-	-	SYM
brj-24395	247	35	14	14	NUM
brj-24395	247	36	.	.	PUNCT
brj-24395	248	1	doi	doi	NOUN
brj-24395	248	2	:	:	PUNCT
brj-24395	248	3	10.1155/2018/5037572	10.1155/2018/5037572	NUM
brj-24395	248	4	huang	huang	PROPN
brj-24395	248	5	,	,	PUNCT
brj-24395	248	6	a.	a.	PROPN
brj-24395	248	7	,	,	PUNCT
brj-24395	248	8	zhou	zhou	PROPN
brj-24395	248	9	,	,	PUNCT
brj-24395	248	10	q.	q.	PROPN
brj-24395	248	11	,	,	PUNCT
brj-24395	248	12	liu	liu	PROPN
brj-24395	248	13	,	,	PUNCT
brj-24395	248	14	j.	j.	PROPN
brj-24395	248	15	,	,	PUNCT
brj-24395	248	16	fei	fei	PROPN
brj-24395	248	17	,	,	PUNCT
brj-24395	248	18	b.	b.	PROPN
brj-24395	248	19	,	,	PUNCT
brj-24395	248	20	and	and	CCONJ
brj-24395	248	21	sun	sun	PROPN
brj-24395	248	22	s.	s.	PROPN
brj-24395	248	23	(	(	PUNCT
brj-24395	248	24	2008	2008	NUM
brj-24395	248	25	)	)	PUNCT
brj-24395	248	26	.	.	PUNCT
brj-24395	249	1	“	"	PUNCT
brj-24395	249	2	distinction	distinction	NOUN
brj-24395	249	3	of	of	ADP
brj-24395	249	4	three	three	NUM
brj-24395	249	5	wood	wood	NOUN
brj-24395	249	6	species	specie	NOUN
brj-24395	249	7	by	by	ADP
brj-24395	249	8	fourier	fourier	NOUN
brj-24395	249	9	transform	transform	NOUN
brj-24395	249	10	infrared	infrared	ADJ
brj-24395	249	11	spectroscopy	spectroscopy	NOUN
brj-24395	249	12	and	and	CCONJ
brj-24395	249	13	two	two	NUM
brj-24395	249	14	-	-	PUNCT
brj-24395	249	15	dimensional	dimensional	ADJ
brj-24395	249	16	correlation	correlation	NOUN
brj-24395	249	17	ir	ir	NOUN
brj-24395	249	18	spectroscopy	spectroscopy	NOUN
brj-24395	249	19	,	,	PUNCT
brj-24395	249	20	”	"	PUNCT
brj-24395	249	21	journal	journal	NOUN
brj-24395	249	22	of	of	ADP
brj-24395	249	23	molecular	molecular	ADJ
brj-24395	249	24	structure	structure	NOUN
brj-24395	249	25	883	883	NUM
brj-24395	249	26	-	-	SYM
brj-24395	249	27	884	884	NUM
brj-24395	249	28	,	,	PUNCT
brj-24395	249	29	160	160	NUM
brj-24395	249	30	-	-	SYM
brj-24395	249	31	166	166	NUM
brj-24395	249	32	.	.	PUNCT
brj-24395	250	1	doi	doi	NOUN
brj-24395	250	2	:	:	PUNCT
brj-24395	250	3	10.1016	10.1016	NUM
brj-24395	250	4	/	/	SYM
brj-24395	250	5	j.molstruc.2007.11.061	j.molstruc.2007.11.061	PROPN
brj-24395	250	6	jesus	jesus	PROPN
brj-24395	250	7	,	,	PUNCT
brj-24395	250	8	e.	e.	PROPN
brj-24395	250	9	,	,	PUNCT
brj-24395	250	10	franca	franca	NOUN
brj-24395	250	11	,	,	PUNCT
brj-24395	250	12	t.	t.	PROPN
brj-24395	250	13	,	,	PUNCT
brj-24395	250	14	calvani	calvani	PROPN
brj-24395	250	15	,	,	PUNCT
brj-24395	250	16	c.	c.	PROPN
brj-24395	250	17	,	,	PUNCT
brj-24395	250	18	lacerda	lacerda	PROPN
brj-24395	250	19	,	,	PUNCT
brj-24395	250	20	m.	m.	NOUN
brj-24395	250	21	,	,	PUNCT
brj-24395	250	22	gonçalves	gonçalves	PROPN
brj-24395	250	23	,	,	PUNCT
brj-24395	250	24	d.	d.	PROPN
brj-24395	250	25	,	,	PUNCT
brj-24395	250	26	oliveira	oliveira	PROPN
brj-24395	250	27	,	,	PUNCT
brj-24395	250	28	s.	s.	PROPN
brj-24395	250	29	,	,	PUNCT
brj-24395	250	30	marangoni	marangoni	NOUN
brj-24395	250	31	,	,	PUNCT
brj-24395	250	32	b.	b.	PROPN
brj-24395	250	33	,	,	PUNCT
brj-24395	250	34	and	and	CCONJ
brj-24395	250	35	cena	cena	PROPN
brj-24395	250	36	,	,	PUNCT
brj-24395	250	37	c.	c.	PROPN
brj-24395	250	38	(	(	PUNCT
brj-24395	250	39	2024	2024	NUM
brj-24395	250	40	)	)	PUNCT
brj-24395	250	41	.	.	PUNCT
brj-24395	251	1	"	"	PUNCT
brj-24395	251	2	making	make	VERB
brj-24395	251	3	wood	wood	NOUN
brj-24395	251	4	inspection	inspection	NOUN
brj-24395	251	5	easier	easy	ADJ
brj-24395	251	6	:	:	PUNCT
brj-24395	251	7	ftir	ftir	VERB
brj-24395	251	8	spectroscopy	spectroscopy	NOUN
brj-24395	251	9	and	and	CCONJ
brj-24395	251	10	machine	machine	NOUN
brj-24395	251	11	learning	learn	VERB
brj-24395	251	12	for	for	ADP
brj-24395	251	13	brazilian	brazilian	ADJ
brj-24395	251	14	native	native	ADJ
brj-24395	251	15	commercial	commercial	ADJ
brj-24395	251	16	wood	wood	NOUN
brj-24395	251	17	species	specie	NOUN
brj-24395	251	18	identification	identification	NOUN
brj-24395	251	19	,	,	PUNCT
brj-24395	251	20	”	"	PUNCT
brj-24395	251	21	rsc	rsc	PROPN
brj-24395	251	22	advances	advance	VERB
brj-24395	251	23	14	14	NUM
brj-24395	251	24	,	,	PUNCT
brj-24395	251	25	7283	7283	NUM
brj-24395	251	26	-	-	SYM
brj-24395	251	27	7289	7289	NUM
brj-24395	251	28	.	.	PUNCT
brj-24395	252	1	doi	doi	NOUN
brj-24395	252	2	:	:	PUNCT
brj-24395	252	3	10.1039	10.1039	NUM
brj-24395	252	4	/	/	SYM
brj-24395	252	5	d4ra00174e	d4ra00174e	PROPN
brj-24395	252	6	jiang	jiang	PROPN
brj-24395	252	7	,	,	PUNCT
brj-24395	252	8	e.	e.	PROPN
brj-24395	252	9	y.	y.	PROPN
brj-24395	252	10	,	,	PUNCT
brj-24395	252	11	and	and	CCONJ
brj-24395	252	12	rieppo	rieppo	NOUN
brj-24395	252	13	,	,	PUNCT
brj-24395	252	14	j.	j.	PROPN
brj-24395	252	15	(	(	PUNCT
brj-24395	252	16	2006	2006	NUM
brj-24395	252	17	)	)	PUNCT
brj-24395	252	18	.	.	PUNCT
brj-24395	253	1	“	"	PUNCT
brj-24395	253	2	enhancing	enhance	VERB
brj-24395	253	3	ftir	ftir	NOUN
brj-24395	253	4	imaging	imaging	NOUN
brj-24395	253	5	capabilities	capability	NOUN
brj-24395	253	6	with	with	ADP
brj-24395	253	7	twodimensional	twodimensional	ADJ
brj-24395	253	8	correlation	correlation	NOUN
brj-24395	253	9	spectroscopy	spectroscopy	NOUN
brj-24395	253	10	(	(	PUNCT
brj-24395	253	11	2dcos	2dcos	NUM
brj-24395	253	12	):	):	PUNCT
brj-24395	253	13	a	a	DET
brj-24395	253	14	study	study	NOUN
brj-24395	253	15	of	of	ADP
brj-24395	253	16	concentration	concentration	NOUN
brj-24395	253	17	gradients	gradient	NOUN
brj-24395	253	18	of	of	ADP
brj-24395	253	19	collagen	collagen	NOUN
brj-24395	253	20	and	and	CCONJ
brj-24395	253	21	proteoglycans	proteoglycan	NOUN
brj-24395	253	22	in	in	ADP
brj-24395	253	23	human	human	ADJ
brj-24395	253	24	patellar	patellar	ADJ
brj-24395	253	25	cartilage	cartilage	NOUN
brj-24395	253	26	,	,	PUNCT
brj-24395	253	27	”	"	PUNCT
brj-24395	253	28	journal	journal	NOUN
brj-24395	253	29	of	of	ADP
brj-24395	253	30	molecular	molecular	ADJ
brj-24395	253	31	structure	structure	NOUN
brj-24395	253	32	799(1	799(1	NUM
brj-24395	253	33	)	)	PUNCT
brj-24395	253	34	,	,	PUNCT
brj-24395	253	35	196	196	NUM
brj-24395	253	36	-	-	SYM
brj-24395	253	37	203	203	NUM
brj-24395	253	38	.	.	PUNCT
brj-24395	254	1	doi	doi	NOUN
brj-24395	254	2	:	:	PUNCT
brj-24395	254	3	10.1016	10.1016	NUM
brj-24395	254	4	/	/	SYM
brj-24395	254	5	j.molstruc.2006.03.069	j.molstruc.2006.03.069	PROPN
brj-24395	254	6	li	li	PROPN
brj-24395	254	7	,	,	PUNCT
brj-24395	254	8	m.-y	m.-y	PROPN
brj-24395	254	9	.	.	PUNCT
brj-24395	254	10	,	,	PUNCT
brj-24395	254	11	cheng	cheng	PROPN
brj-24395	254	12	s.-c	s.-c	PROPN
brj-24395	254	13	.	.	PROPN
brj-24395	254	14	,	,	PUNCT
brj-24395	254	15	li	li	PROPN
brj-24395	254	16	d.	d.	PROPN
brj-24395	254	17	,	,	PUNCT
brj-24395	254	18	wang	wang	PROPN
brj-24395	254	19	s.-n	s.-n	PROPN
brj-24395	254	20	.	.	PROPN
brj-24395	254	21	,	,	PUNCT
brj-24395	254	22	huang	huang	PROPN
brj-24395	254	23	a.-m	a.-m	PROPN
brj-24395	254	24	.	.	PUNCT
brj-24395	254	25	,	,	PUNCT
brj-24395	254	26	and	and	CCONJ
brj-24395	254	27	sun	sun	NOUN
brj-24395	254	28	,	,	PUNCT
brj-24395	254	29	s.-q	s.-q	PROPN
brj-24395	254	30	.	.	PUNCT
brj-24395	255	1	(	(	PUNCT
brj-24395	255	2	2015	2015	NUM
brj-24395	255	3	)	)	PUNCT
brj-24395	255	4	.	.	PUNCT
brj-24395	256	1	“	"	PUNCT
brj-24395	256	2	structural	structural	ADJ
brj-24395	256	3	characterization	characterization	NOUN
brj-24395	256	4	of	of	ADP
brj-24395	256	5	steam	steam	NOUN
brj-24395	256	6	-	-	PUNCT
brj-24395	256	7	heat	heat	NOUN
brj-24395	256	8	treated	treat	VERB
brj-24395	256	9	tectona	tectona	NOUN
brj-24395	256	10	grandis	grandis	PROPN
brj-24395	256	11	wood	wood	NOUN
brj-24395	256	12	analyzed	analyze	VERB
brj-24395	256	13	by	by	ADP
brj-24395	256	14	ft	ft	PROPN
brj-24395	256	15	-	-	PUNCT
brj-24395	256	16	ir	ir	NOUN
brj-24395	256	17	and	and	CCONJ
brj-24395	256	18	2d	2d	PROPN
brj-24395	256	19	-	-	PUNCT
brj-24395	256	20	ir	ir	NOUN
brj-24395	256	21	correlation	correlation	NOUN
brj-24395	256	22	spectroscopy	spectroscopy	NOUN
brj-24395	256	23	,	,	PUNCT
brj-24395	256	24	”	"	PUNCT
brj-24395	256	25	chinese	chinese	ADJ
brj-24395	256	26	chemical	chemical	NOUN
brj-24395	256	27	letters	letter	NOUN
brj-24395	256	28	26(2	26(2	NUM
brj-24395	256	29	)	)	PUNCT
brj-24395	256	30	,	,	PUNCT
brj-24395	256	31	221225	221225	NUM
brj-24395	256	32	.	.	PUNCT
brj-24395	257	1	doi	doi	NOUN
brj-24395	257	2	:	:	PUNCT
brj-24395	257	3	10.1016	10.1016	NUM
brj-24395	257	4	/	/	SYM
brj-24395	257	5	j.cclet.2014.11.024	j.cclet.2014.11.024	PROPN
brj-24395	257	6	li	li	PROPN
brj-24395	257	7	,	,	PUNCT
brj-24395	257	8	x.	x.	PROPN
brj-24395	257	9	,	,	PUNCT
brj-24395	257	10	wang	wang	PROPN
brj-24395	257	11	,	,	PUNCT
brj-24395	257	12	w.	w.	PROPN
brj-24395	257	13	h.	h.	PROPN
brj-24395	257	14	,	,	PUNCT
brj-24395	257	15	hu	hu	PROPN
brj-24395	257	16	,	,	PUNCT
brj-24395	257	17	x.	x.	PROPN
brj-24395	257	18	l.	l.	PROPN
brj-24395	257	19	,	,	PUNCT
brj-24395	257	20	yang	yang	PROPN
brj-24395	257	21	,	,	PUNCT
brj-24395	257	22	j.	j.	PROPN
brj-24395	257	23	,	,	PUNCT
brj-24395	257	24	and	and	CCONJ
brj-24395	257	25	soc	soc	NOUN
brj-24395	257	26	,	,	PUNCT
brj-24395	257	27	i.	i.	PROPN
brj-24395	257	28	c.	c.	PROPN
brj-24395	257	29	(	(	PUNCT
brj-24395	257	30	2019	2019	NUM
brj-24395	257	31	)	)	PUNCT
brj-24395	257	32	.	.	PUNCT
brj-24395	258	1	“	"	PUNCT
brj-24395	258	2	selective	selective	ADJ
brj-24395	258	3	kernel	kernel	NOUN
brj-24395	258	4	networks	network	NOUN
brj-24395	258	5	,	,	PUNCT
brj-24395	258	6	”	"	PUNCT
brj-24395	258	7	32nd	32nd	ADJ
brj-24395	258	8	ieee	ieee	NOUN
brj-24395	258	9	/	/	SYM
brj-24395	258	10	cvf	cvf	NOUN
brj-24395	258	11	conference	conference	NOUN
brj-24395	258	12	on	on	ADP
brj-24395	258	13	computer	computer	NOUN
brj-24395	258	14	vision	vision	NOUN
brj-24395	258	15	and	and	CCONJ
brj-24395	258	16	pattern	pattern	NOUN
brj-24395	258	17	recognition	recognition	NOUN
brj-24395	258	18	(	(	PUNCT
brj-24395	258	19	cvpr	cvpr	NOUN
brj-24395	258	20	)	)	PUNCT
brj-24395	258	21	,	,	PUNCT
brj-24395	258	22	long	long	ADJ
brj-24395	258	23	beach	beach	NOUN
brj-24395	258	24	,	,	PUNCT
brj-24395	258	25	ca	can	AUX
brj-24395	258	26	,	,	PUNCT
brj-24395	258	27	ieee	ieee	NOUN
brj-24395	258	28	computer	computer	NOUN
brj-24395	258	29	soc	soc	NOUN
brj-24395	258	30	.	.	PUNCT
brj-24395	259	1	doi	doi	NOUN
brj-24395	259	2	:	:	PUNCT
brj-24395	259	3	10.1109	10.1109	NUM
brj-24395	259	4	/	/	SYM
brj-24395	259	5	cvpr.2019.00060	cvpr.2019.00060	PROPN
brj-24395	259	6	.	.	PUNCT
brj-24395	260	1	ma	ma	PROPN
brj-24395	260	2	,	,	PUNCT
brj-24395	260	3	t.	t.	PROPN
brj-24395	260	4	,	,	PUNCT
brj-24395	260	5	kimura	kimura	PROPN
brj-24395	260	6	,	,	PUNCT
brj-24395	260	7	f.	f.	PROPN
brj-24395	260	8	,	,	PUNCT
brj-24395	260	9	tsuchikawa	tsuchikawa	PROPN
brj-24395	260	10	,	,	PUNCT
brj-24395	260	11	s.	s.	PROPN
brj-24395	260	12	,	,	PUNCT
brj-24395	260	13	kojima	kojima	PROPN
brj-24395	260	14	,	,	PUNCT
brj-24395	260	15	m.	m.	NOUN
brj-24395	260	16	,	,	PUNCT
brj-24395	260	17	and	and	CCONJ
brj-24395	260	18	inagaki	inagaki	ADV
brj-24395	260	19	,	,	PUNCT
brj-24395	260	20	t.	t.	PROPN
brj-24395	260	21	(	(	PUNCT
brj-24395	260	22	2024	2024	NUM
brj-24395	260	23	)	)	PUNCT
brj-24395	260	24	.	.	PUNCT
brj-24395	261	1	"	"	PUNCT
brj-24395	261	2	validation	validation	NOUN
brj-24395	261	3	study	study	NOUN
brj-24395	261	4	on	on	ADP
brj-24395	261	5	the	the	DET
brj-24395	261	6	practical	practical	ADJ
brj-24395	261	7	accuracy	accuracy	NOUN
brj-24395	261	8	of	of	ADP
brj-24395	261	9	wood	wood	NOUN
brj-24395	261	10	species	species	NOUN
brj-24395	261	11	identification	identification	NOUN
brj-24395	261	12	via	via	ADP
brj-24395	261	13	deep	deep	ADJ
brj-24395	261	14	learning	learning	NOUN
brj-24395	261	15	from	from	ADP
brj-24395	261	16	visible	visible	ADJ
brj-24395	261	17	microscopic	microscopic	ADJ
brj-24395	261	18	images	image	NOUN
brj-24395	261	19	,	,	PUNCT
brj-24395	261	20	”	"	PUNCT
brj-24395	261	21	bioresources	bioresource	NOUN
brj-24395	261	22	19(3	19(3	NUM
brj-24395	261	23	)	)	PUNCT
brj-24395	261	24	,	,	PUNCT
brj-24395	261	25	4838	4838	NUM
brj-24395	261	26	-	-	SYM
brj-24395	261	27	4851	4851	NUM
brj-24395	261	28	.	.	PUNCT
brj-24395	262	1	doi	doi	NOUN
brj-24395	262	2	:	:	PUNCT
brj-24395	262	3	10.15376	10.15376	NUM
brj-24395	262	4	/	/	SYM
brj-24395	262	5	biores.19.3.4838	biores.19.3.4838	PROPN
brj-24395	262	6	-	-	PUNCT
brj-24395	262	7	4851	4851	NUM
brj-24395	262	8	.	.	PUNCT
brj-24395	263	1	matsumoto	matsumoto	PROPN
brj-24395	263	2	,	,	PUNCT
brj-24395	263	3	t.	t.	PROPN
brj-24395	263	4	,	,	PUNCT
brj-24395	263	5	fuchita	fuchita	NOUN
brj-24395	263	6	,	,	PUNCT
brj-24395	263	7	y.	y.	PROPN
brj-24395	263	8	,	,	PUNCT
brj-24395	263	9	ichikawa	ichikawa	PROPN
brj-24395	263	10	,	,	PUNCT
brj-24395	263	11	k.	k.	PROPN
brj-24395	263	12	,	,	PUNCT
brj-24395	263	13	fukuda	fukuda	PROPN
brj-24395	263	14	,	,	PUNCT
brj-24395	263	15	y.	y.	PROPN
brj-24395	263	16	,	,	PUNCT
brj-24395	263	17	takemura	takemura	ADV
brj-24395	263	18	,	,	PUNCT
brj-24395	263	19	n.	n.	NOUN
brj-24395	263	20	,	,	PUNCT
brj-24395	263	21	and	and	CCONJ
brj-24395	263	22	sakatani	sakatani	PROPN
brj-24395	263	23	,	,	PUNCT
brj-24395	263	24	k.	k.	PROPN
brj-24395	263	25	(	(	PUNCT
brj-24395	263	26	2016	2016	NUM
brj-24395	263	27	)	)	PUNCT
brj-24395	263	28	.	.	PUNCT
brj-24395	264	1	“	"	PUNCT
brj-24395	264	2	gender	gender	NOUN
brj-24395	264	3	and	and	CCONJ
brj-24395	264	4	age	age	NOUN
brj-24395	264	5	analyses	analysis	NOUN
brj-24395	264	6	of	of	ADP
brj-24395	264	7	nirs	nirs	PROPN
brj-24395	264	8	/	/	SYM
brj-24395	264	9	stai	stai	PROPN
brj-24395	264	10	pearson	pearson	PROPN
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brj-24395	264	12	coefficients	coefficient	NOUN
brj-24395	264	13	at	at	ADP
brj-24395	264	14	resting	rest	VERB
brj-24395	264	15	state	state	NOUN
brj-24395	264	16	,	,	PUNCT
brj-24395	264	17	”	"	PUNCT
brj-24395	264	18	adv	adv	PROPN
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brj-24395	264	22	.	.	PUNCT
brj-24395	265	1	876	876	NUM
brj-24395	265	2	,	,	PUNCT
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brj-24395	265	4	-	-	SYM
brj-24395	265	5	287	287	NUM
brj-24395	265	6	.	.	PUNCT
brj-24395	266	1	doi	doi	NOUN
brj-24395	266	2	:	:	PUNCT
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brj-24395	266	4	-	-	SYM
brj-24395	266	5	1	1	NUM
brj-24395	266	6	-	-	PUNCT
brj-24395	266	7	4939	4939	NUM
brj-24395	266	8	-	-	PUNCT
brj-24395	266	9	30234_35	30234_35	NUM
brj-24395	266	10	.	.	PUNCT
brj-24395	267	1	mou	mou	PROPN
brj-24395	267	2	,	,	PUNCT
brj-24395	267	3	y.	y.	PROPN
brj-24395	267	4	,	,	PUNCT
brj-24395	267	5	you	you	PRON
brj-24395	267	6	,	,	PUNCT
brj-24395	267	7	x.	x.	PROPN
brj-24395	267	8	,	,	PUNCT
brj-24395	267	9	xu	xu	PROPN
brj-24395	267	10	,	,	PUNCT
brj-24395	267	11	d.	d.	PROPN
brj-24395	267	12	,	,	PUNCT
brj-24395	267	13	yu	yu	PROPN
brj-24395	267	14	,	,	PUNCT
brj-24395	267	15	s.	s.	PROPN
brj-24395	267	16	,	,	PUNCT
brj-24395	267	17	zhou	zhou	PROPN
brj-24395	267	18	,	,	PUNCT
brj-24395	267	19	l.	l.	PROPN
brj-24395	267	20	,	,	PUNCT
brj-24395	267	21	and	and	CCONJ
brj-24395	267	22	zeng	zeng	PROPN
brj-24395	267	23	,	,	PUNCT
brj-24395	267	24	w.	w.	PROPN
brj-24395	267	25	(	(	PUNCT
brj-24395	267	26	2013	2013	NUM
brj-24395	267	27	)	)	PUNCT
brj-24395	267	28	.	.	PUNCT
brj-24395	268	1	“	"	PUNCT
brj-24395	268	2	regularized	regularize	VERB
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brj-24395	268	7	”	"	PUNCT
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brj-24395	268	11	laboratory	laboratory	NOUN
brj-24395	268	12	systems	system	NOUN
brj-24395	268	13	132	132	NUM
brj-24395	268	14	.	.	PUNCT
brj-24395	269	1	doi	doi	NOUN
brj-24395	269	2	:	:	PUNCT
brj-24395	269	3	10.1016	10.1016	NUM
brj-24395	269	4	/	/	SYM
brj-24395	269	5	j.chemolab.2013.12.004	j.chemolab.2013.12.004	PROPN
brj-24395	269	6	pan	pan	PROPN
brj-24395	269	7	,	,	PUNCT
brj-24395	269	8	x.	x.	PROPN
brj-24395	269	9	,	,	PUNCT
brj-24395	269	10	yu	yu	PROPN
brj-24395	269	11	,	,	PUNCT
brj-24395	269	12	z.	z.	PROPN
brj-24395	269	13	m.	m.	PROPN
brj-24395	269	14	,	,	PUNCT
brj-24395	269	15	and	and	CCONJ
brj-24395	269	16	yang	yang	PROPN
brj-24395	269	17	,	,	PUNCT
brj-24395	269	18	z.	z.	PROPN
brj-24395	269	19	(	(	PUNCT
brj-24395	269	20	2023	2023	NUM
brj-24395	269	21	)	)	PUNCT
brj-24395	269	22	.	.	PUNCT
brj-24395	270	1	“	"	PUNCT
brj-24395	270	2	a	a	DET
brj-24395	270	3	deep	deep	ADJ
brj-24395	270	4	learning	learn	VERB
brj-24395	270	5	multimodal	multimodal	NOUN
brj-24395	270	6	fusion	fusion	NOUN
brj-24395	270	7	framework	framework	NOUN
brj-24395	270	8	for	for	ADP
brj-24395	270	9	wood	wood	NOUN
brj-24395	270	10	species	specie	NOUN
brj-24395	270	11	identification	identification	NOUN
brj-24395	270	12	using	use	VERB
brj-24395	270	13	near	near	ADV
brj-24395	270	14	-	-	PUNCT
brj-24395	270	15	infrared	infrared	ADJ
brj-24395	270	16	spectroscopy	spectroscopy	NOUN
brj-24395	270	17	gadf	gadf	NOUN
brj-24395	270	18	and	and	CCONJ
brj-24395	270	19	rgb	rgb	PROPN
brj-24395	270	20	image	image	NOUN
brj-24395	270	21	,	,	PUNCT
brj-24395	270	22	”	"	PUNCT
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brj-24395	270	24	77(11	77(11	NUM
brj-24395	270	25	-	-	PUNCT
brj-24395	270	26	12	12	NUM
brj-24395	270	27	)	)	PUNCT
brj-24395	270	28	,	,	PUNCT
brj-24395	270	29	816	816	NUM
brj-24395	270	30	-	-	SYM
brj-24395	270	31	827	827	NUM
brj-24395	270	32	.	.	PUNCT
brj-24395	271	1	doi	doi	NOUN
brj-24395	271	2	:	:	PUNCT
brj-24395	271	3	10.1515	10.1515	NUM
brj-24395	271	4	/	/	SYM
brj-24395	271	5	hf-2023	hf-2023	NOUN
brj-24395	271	6	-	-	PUNCT
brj-24395	271	7	0062	0062	NUM
brj-24395	271	8	peer	peer	NOUN
brj-24395	271	9	-	-	PUNCT
brj-24395	271	10	reviewed	review	VERB
brj-24395	271	11	article	article	NOUN
brj-24395	271	12	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	VERB
brj-24395	271	13	xin	xin	PROPN
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brj-24395	271	15	al	al	PROPN
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brj-24395	272	2	2025	2025	NUM
brj-24395	272	3	)	)	PUNCT
brj-24395	272	4	.	.	PUNCT
brj-24395	273	1	“	"	PUNCT
brj-24395	273	2	wood	wood	NOUN
brj-24395	273	3	species	specie	NOUN
brj-24395	273	4	i	i	NOUN
brj-24395	273	5	d	d	PROPN
brj-24395	273	6	by	by	ADP
brj-24395	273	7	infrared	infrared	NOUN
brj-24395	273	8	,	,	PUNCT
brj-24395	273	9	”	"	PUNCT
brj-24395	273	10	bioresources	bioresource	NOUN
brj-24395	273	11	20(2	20(2	NUM
brj-24395	273	12	)	)	PUNCT
brj-24395	273	13	,	,	PUNCT
brj-24395	273	14	4464	4464	NUM
brj-24395	273	15	-	-	SYM
brj-24395	273	16	4478	4478	NUM
brj-24395	273	17	.	.	PUNCT
brj-24395	274	1	4478	4478	NUM
brj-24395	274	2	saxena	saxena	PROPN
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brj-24395	274	4	a.	a.	PROPN
brj-24395	274	5	,	,	PUNCT
brj-24395	274	6	prasad	prasad	PROPN
brj-24395	274	7	,	,	PUNCT
brj-24395	274	8	m.	m.	NOUN
brj-24395	274	9	,	,	PUNCT
brj-24395	274	10	gupta	gupta	PROPN
brj-24395	274	11	,	,	PUNCT
brj-24395	274	12	a.	a.	NOUN
brj-24395	274	13	,	,	PUNCT
brj-24395	274	14	bharill	bharill	NOUN
brj-24395	274	15	,	,	PUNCT
brj-24395	274	16	n.	n.	NOUN
brj-24395	274	17	,	,	PUNCT
brj-24395	274	18	patel	patel	PROPN
brj-24395	274	19	,	,	PUNCT
brj-24395	274	20	o.	o.	PROPN
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brj-24395	274	23	tiwari	tiwari	PROPN
brj-24395	274	24	,	,	PUNCT
brj-24395	274	25	a.	a.	NOUN
brj-24395	274	26	,	,	PUNCT
brj-24395	274	27	er	er	INTJ
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brj-24395	274	29	m.	m.	NOUN
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brj-24395	274	32	ding	ding	PROPN
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brj-24395	274	34	w.	w.	PROPN
brj-24395	274	35	,	,	PUNCT
brj-24395	274	36	and	and	CCONJ
brj-24395	274	37	lin	lin	PROPN
brj-24395	274	38	,	,	PUNCT
brj-24395	274	39	c.-t	c.-t	PROPN
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brj-24395	275	1	(	(	PUNCT
brj-24395	275	2	2017	2017	NUM
brj-24395	275	3	)	)	PUNCT
brj-24395	275	4	.	.	PUNCT
brj-24395	276	1	“	"	PUNCT
brj-24395	276	2	a	a	DET
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brj-24395	276	8	developments	development	NOUN
brj-24395	276	9	,	,	PUNCT
brj-24395	276	10	”	"	PUNCT
brj-24395	276	11	neurocomputing	neurocompute	VERB
brj-24395	276	12	267	267	NUM
brj-24395	276	13	,	,	PUNCT
brj-24395	276	14	664	664	NUM
brj-24395	276	15	-	-	SYM
brj-24395	276	16	681	681	NUM
brj-24395	276	17	.	.	PUNCT
brj-24395	277	1	doi	doi	NOUN
brj-24395	277	2	:	:	PUNCT
brj-24395	277	3	10.1016	10.1016	NUM
brj-24395	277	4	/	/	SYM
brj-24395	277	5	j.neucom.2017.06.053	j.neucom.2017.06.053	PROPN
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brj-24395	277	7	,	,	PUNCT
brj-24395	277	8	j.	j.	PROPN
brj-24395	277	9	,	,	PUNCT
brj-24395	277	10	lu	lu	PROPN
brj-24395	277	11	,	,	PUNCT
brj-24395	277	12	y.	y.	PROPN
brj-24395	277	13	,	,	PUNCT
brj-24395	277	14	zhang	zhang	PROPN
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brj-24395	277	16	y.	y.	PROPN
brj-24395	277	17	,	,	PUNCT
brj-24395	277	18	cai	cai	PROPN
brj-24395	277	19	,	,	PUNCT
brj-24395	277	20	l.	l.	PROPN
brj-24395	277	21	,	,	PUNCT
brj-24395	277	22	and	and	CCONJ
brj-24395	277	23	shi	shi	PROPN
brj-24395	277	24	,	,	PUNCT
brj-24395	277	25	s.	s.	PROPN
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brj-24395	277	27	(	(	PUNCT
brj-24395	277	28	2018	2018	NUM
brj-24395	277	29	)	)	PUNCT
brj-24395	277	30	.	.	PUNCT
brj-24395	278	1	“	"	PUNCT
brj-24395	278	2	effect	effect	NOUN
brj-24395	278	3	of	of	ADP
brj-24395	278	4	thermal	thermal	ADJ
brj-24395	278	5	treatment	treatment	NOUN
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brj-24395	278	7	water	water	NOUN
brj-24395	278	8	,	,	PUNCT
brj-24395	278	9	h2so4	h2so4	PROPN
brj-24395	278	10	and	and	CCONJ
brj-24395	278	11	naoh	naoh	ADJ
brj-24395	278	12	aqueous	aqueous	ADJ
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brj-24395	278	14	on	on	ADP
brj-24395	278	15	color	color	NOUN
brj-24395	278	16	,	,	PUNCT
brj-24395	278	17	cell	cell	NOUN
brj-24395	278	18	wall	wall	NOUN
brj-24395	278	19	and	and	CCONJ
brj-24395	278	20	chemical	chemical	NOUN
brj-24395	278	21	structure	structure	NOUN
brj-24395	278	22	of	of	ADP
brj-24395	278	23	poplar	poplar	ADJ
brj-24395	278	24	wood	wood	NOUN
brj-24395	278	25	,	,	PUNCT
brj-24395	278	26	”	"	PUNCT
brj-24395	278	27	scientific	scientific	ADJ
brj-24395	278	28	reports	report	NOUN
brj-24395	278	29	8(1	8(1	NOUN
brj-24395	278	30	)	)	PUNCT
brj-24395	278	31	,	,	PUNCT
brj-24395	278	32	article	article	NOUN
brj-24395	278	33	17735	17735	NUM
brj-24395	278	34	.	.	PUNCT
brj-24395	279	1	doi	doi	NOUN
brj-24395	279	2	:	:	PUNCT
brj-24395	279	3	10.1038	10.1038	NUM
brj-24395	279	4	/	/	SYM
brj-24395	279	5	s41598	s41598	NOUN
brj-24395	279	6	-	-	PUNCT
brj-24395	279	7	018	018	NUM
brj-24395	279	8	-	-	PUNCT
brj-24395	279	9	36086	36086	NUM
brj-24395	279	10	-	-	SYM
brj-24395	279	11	9	9	NUM
brj-24395	279	12	zhao	zhao	NOUN
brj-24395	279	13	,	,	PUNCT
brj-24395	279	14	x.	x.	PROPN
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brj-24395	279	16	,	,	PUNCT
brj-24395	279	17	sun	sun	PROPN
brj-24395	279	18	,	,	PUNCT
brj-24395	279	19	h.	h.	PROPN
brj-24395	279	20	b.	b.	PROPN
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brj-24395	279	22	lin	lin	PROPN
brj-24395	279	23	,	,	PUNCT
brj-24395	279	24	b.	b.	PROPN
brj-24395	279	25	,	,	PUNCT
brj-24395	279	26	zhao	zhao	PROPN
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brj-24395	279	28	h.	h.	PROPN
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brj-24395	279	31	niu	niu	PROPN
brj-24395	279	32	,	,	PUNCT
brj-24395	279	33	y.	y.	PROPN
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brj-24395	279	36	zhong	zhong	PROPN
brj-24395	279	37	,	,	PUNCT
brj-24395	279	38	x.	x.	PROPN
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brj-24395	279	40	wang	wang	PROPN
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brj-24395	279	42	y.	y.	PROPN
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brj-24395	279	44	,	,	PUNCT
brj-24395	279	45	zhao	zhao	PROPN
brj-24395	279	46	,	,	PUNCT
brj-24395	279	47	y.	y.	PROPN
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brj-24395	279	49	,	,	PUNCT
brj-24395	279	50	meng	meng	PROPN
brj-24395	279	51	,	,	PUNCT
brj-24395	279	52	f.	f.	PROPN
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brj-24395	279	57	j.	j.	PROPN
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brj-24395	279	62	x.	x.	PROPN
brj-24395	279	63	h.	h.	PROPN
brj-24395	279	64	,	,	PUNCT
brj-24395	279	65	dong	dong	PROPN
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brj-24395	279	67	l.	l.	PROPN
brj-24395	279	68	,	,	PUNCT
brj-24395	279	69	and	and	CCONJ
brj-24395	279	70	liang	liang	PROPN
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brj-24395	279	72	s.	s.	PROPN
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brj-24395	279	75	)	)	PUNCT
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brj-24395	280	1	“	"	PUNCT
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brj-24395	280	14	vibrationfrequency	vibrationfrequency	NOUN
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brj-24395	280	18	-	-	PUNCT
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brj-24395	280	20	,	,	PUNCT
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brj-24395	280	25	22(4	22(4	PROPN
brj-24395	280	26	)	)	PUNCT
brj-24395	280	27	,	,	PUNCT
brj-24395	280	28	3348	3348	NUM
brj-24395	280	29	-	-	SYM
brj-24395	280	30	3357	3357	NUM
brj-24395	280	31	.	.	PUNCT
brj-24395	281	1	doi	doi	NOUN
brj-24395	281	2	:	:	PUNCT
brj-24395	281	3	10.1109	10.1109	NUM
brj-24395	281	4	/	/	SYM
brj-24395	281	5	jsen.2021.3137006	jsen.2021.3137006	ADJ
brj-24395	281	6	article	article	NOUN
brj-24395	281	7	submitted	submit	VERB
brj-24395	281	8	:	:	PUNCT
brj-24395	281	9	january	january	PROPN
brj-24395	281	10	27	27	NUM
brj-24395	281	11	,	,	PUNCT
brj-24395	281	12	2025	2025	NUM
brj-24395	281	13	;	;	PUNCT
brj-24395	281	14	peer	peer	NOUN
brj-24395	281	15	review	review	NOUN
brj-24395	281	16	completed	complete	VERB
brj-24395	281	17	:	:	PUNCT
brj-24395	281	18	february	february	PROPN
brj-24395	281	19	22	22	NUM
brj-24395	281	20	,	,	PUNCT
brj-24395	281	21	2025	2025	NUM
brj-24395	281	22	;	;	PUNCT
brj-24395	281	23	revised	revise	VERB
brj-24395	281	24	version	version	NOUN
brj-24395	281	25	received	receive	VERB
brj-24395	281	26	and	and	CCONJ
brj-24395	281	27	accepted	accept	VERB
brj-24395	281	28	:	:	PUNCT
brj-24395	281	29	march	march	PROPN
brj-24395	281	30	4	4	NUM
brj-24395	281	31	,	,	PUNCT
brj-24395	281	32	2025	2025	NUM
brj-24395	281	33	;	;	PUNCT
brj-24395	281	34	published	publish	VERB
brj-24395	281	35	:	:	PUNCT
brj-24395	281	36	april	april	PROPN
brj-24395	281	37	28	28	NUM
brj-24395	281	38	,	,	PUNCT
brj-24395	281	39	2025	2025	NUM
brj-24395	281	40	.	.	PUNCT
brj-24395	282	1	doi	doi	NOUN
brj-24395	282	2	:	:	PUNCT
brj-24395	282	3	10.15376	10.15376	NUM
brj-24395	282	4	/	/	SYM
brj-24395	282	5	biores.20.2.4464	biores.20.2.4464	PROPN
brj-24395	282	6	-	-	PUNCT
brj-24395	282	7	4478	4478	NUM