id	sid	tid	token	lemma	pos
brj-24742	1	1	peer	peer	NOUN
brj-24742	1	2	-	-	PUNCT
brj-24742	1	3	review	review	NOUN
brj-24742	1	4	article	article	NOUN
brj-24742	1	5	peer	peer	NOUN
brj-24742	1	6	-	-	PUNCT
brj-24742	1	7	reviewed	review	VERB
brj-24742	1	8	article	article	NOUN
brj-24742	1	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24742	1	10	tian	tian	PROPN
brj-24742	1	11	et	et	PROPN
brj-24742	1	12	al	al	PROPN
brj-24742	1	13	.	.	PROPN
brj-24742	2	1	(	(	PUNCT
brj-24742	2	2	2026	2026	NUM
brj-24742	2	3	)	)	PUNCT
brj-24742	2	4	.	.	PUNCT
brj-24742	3	1	“	"	PUNCT
brj-24742	3	2	softwood	softwood	NOUN
brj-24742	3	3	classification	classification	NOUN
brj-24742	3	4	for	for	ADP
brj-24742	3	5	design	design	NOUN
brj-24742	3	6	,	,	PUNCT
brj-24742	3	7	”	"	PUNCT
brj-24742	3	8	bioresources	bioresource	NOUN
brj-24742	3	9	21(1	21(1	NUM
brj-24742	3	10	)	)	PUNCT
brj-24742	3	11	,	,	PUNCT
brj-24742	3	12	781	781	NUM
brj-24742	3	13	-	-	SYM
brj-24742	3	14	798	798	NUM
brj-24742	3	15	.	.	PUNCT
brj-24742	4	1	781	781	NUM
brj-24742	4	2	a	a	DET
brj-24742	4	3	classification	classification	NOUN
brj-24742	4	4	method	method	NOUN
brj-24742	4	5	of	of	ADP
brj-24742	4	6	softwood	softwood	NOUN
brj-24742	4	7	species	specie	NOUN
brj-24742	4	8	for	for	ADP
brj-24742	4	9	building	building	NOUN
brj-24742	4	10	and	and	CCONJ
brj-24742	4	11	interior	interior	ADJ
brj-24742	4	12	decoration	decoration	NOUN
brj-24742	4	13	based	base	VERB
brj-24742	4	14	on	on	ADP
brj-24742	4	15	deep	deep	ADJ
brj-24742	4	16	learning	learn	VERB
brj-24742	4	17	zhikang	zhikang	PROPN
brj-24742	4	18	tian	tian	PROPN
brj-24742	4	19	,	,	PUNCT
brj-24742	4	20	a	a	PRON
brj-24742	4	21	,	,	PUNCT
brj-24742	4	22	c	c	PROPN
brj-24742	4	23	xiaotong	xiaotong	PROPN
brj-24742	4	24	liu	liu	PROPN
brj-24742	4	25	,	,	PUNCT
brj-24742	4	26	a	a	DET
brj-24742	4	27	bei	bei	X
brj-24742	4	28	zhang	zhang	PROPN
brj-24742	4	29	,	,	PUNCT
brj-24742	4	30	b	b	PROPN
brj-24742	4	31	zhedong	zhedong	PROPN
brj-24742	4	32	ge	ge	PROPN
brj-24742	4	33	,	,	PUNCT
brj-24742	4	34	a	a	PRON
brj-24742	4	35	and	and	CCONJ
brj-24742	4	36	yucheng	yucheng	NOUN
brj-24742	4	37	zhou	zhou	PROPN
brj-24742	5	1	a	a	PRON
brj-24742	5	2	,	,	PUNCT
brj-24742	5	3	*	*	PUNCT
brj-24742	5	4	the	the	DET
brj-24742	5	5	material	material	NOUN
brj-24742	5	6	properties	property	NOUN
brj-24742	5	7	of	of	ADP
brj-24742	5	8	softwood	softwood	NOUN
brj-24742	5	9	species	specie	NOUN
brj-24742	5	10	affect	affect	VERB
brj-24742	5	11	the	the	DET
brj-24742	5	12	safety	safety	NOUN
brj-24742	5	13	of	of	ADP
brj-24742	5	14	building	building	NOUN
brj-24742	5	15	structures	structure	NOUN
brj-24742	5	16	,	,	PUNCT
brj-24742	5	17	and	and	CCONJ
brj-24742	5	18	wood	wood	NOUN
brj-24742	5	19	identification	identification	NOUN
brj-24742	5	20	is	be	AUX
brj-24742	5	21	a	a	DET
brj-24742	5	22	key	key	ADJ
brj-24742	5	23	factor	factor	NOUN
brj-24742	5	24	in	in	ADP
brj-24742	5	25	material	material	NOUN
brj-24742	5	26	certification	certification	NOUN
brj-24742	5	27	in	in	ADP
brj-24742	5	28	specific	specific	ADJ
brj-24742	5	29	institutions	institution	NOUN
brj-24742	5	30	for	for	ADP
brj-24742	5	31	green	green	ADJ
brj-24742	5	32	building	building	NOUN
brj-24742	5	33	certification	certification	NOUN
brj-24742	5	34	.	.	PUNCT
brj-24742	6	1	this	this	DET
brj-24742	6	2	study	study	NOUN
brj-24742	6	3	investigated	investigate	VERB
brj-24742	6	4	an	an	DET
brj-24742	6	5	efficient	efficient	ADJ
brj-24742	6	6	wood	wood	NOUN
brj-24742	6	7	species	specie	NOUN
brj-24742	6	8	identification	identification	NOUN
brj-24742	6	9	algorithm	algorithm	NOUN
brj-24742	6	10	,	,	PUNCT
brj-24742	6	11	aiming	aim	VERB
brj-24742	6	12	to	to	PART
brj-24742	6	13	provide	provide	VERB
brj-24742	6	14	a	a	DET
brj-24742	6	15	reliable	reliable	ADJ
brj-24742	6	16	method	method	NOUN
brj-24742	6	17	for	for	ADP
brj-24742	6	18	material	material	NOUN
brj-24742	6	19	selection	selection	NOUN
brj-24742	6	20	in	in	ADP
brj-24742	6	21	construction	construction	NOUN
brj-24742	6	22	and	and	CCONJ
brj-24742	6	23	decoration	decoration	NOUN
brj-24742	6	24	industries	industry	NOUN
brj-24742	6	25	.	.	PUNCT
brj-24742	7	1	using	use	VERB
brj-24742	7	2	microscopic	microscopic	ADJ
brj-24742	7	3	cross	cross	ADJ
brj-24742	7	4	-	-	ADJ
brj-24742	7	5	sectional	sectional	ADJ
brj-24742	7	6	images	image	NOUN
brj-24742	7	7	of	of	ADP
brj-24742	7	8	36	36	NUM
brj-24742	7	9	softwood	softwood	NOUN
brj-24742	7	10	species	specie	NOUN
brj-24742	7	11	applied	apply	VERB
brj-24742	7	12	in	in	ADP
brj-24742	7	13	construction	construction	NOUN
brj-24742	7	14	and	and	CCONJ
brj-24742	7	15	decoration	decoration	NOUN
brj-24742	7	16	as	as	ADP
brj-24742	7	17	research	research	NOUN
brj-24742	7	18	objects	object	NOUN
brj-24742	7	19	,	,	PUNCT
brj-24742	7	20	11	11	NUM
brj-24742	7	21	classic	classic	ADJ
brj-24742	7	22	deep	deep	ADJ
brj-24742	7	23	learning	learning	NOUN
brj-24742	7	24	models	model	NOUN
brj-24742	7	25	were	be	AUX
brj-24742	7	26	employed	employ	VERB
brj-24742	7	27	for	for	ADP
brj-24742	7	28	species	specie	NOUN
brj-24742	7	29	classification	classification	NOUN
brj-24742	7	30	,	,	PUNCT
brj-24742	7	31	combined	combine	VERB
brj-24742	7	32	with	with	ADP
brj-24742	7	33	class	class	NOUN
brj-24742	7	34	activation	activation	NOUN
brj-24742	7	35	map	map	VERB
brj-24742	7	36	analysis	analysis	NOUN
brj-24742	7	37	to	to	PART
brj-24742	7	38	examine	examine	VERB
brj-24742	7	39	the	the	DET
brj-24742	7	40	key	key	ADJ
brj-24742	7	41	structural	structural	ADJ
brj-24742	7	42	features	feature	NOUN
brj-24742	7	43	for	for	ADP
brj-24742	7	44	species	species	NOUN
brj-24742	7	45	identification	identification	NOUN
brj-24742	7	46	.	.	PUNCT
brj-24742	8	1	specifically	specifically	ADV
brj-24742	8	2	,	,	PUNCT
brj-24742	8	3	the	the	DET
brj-24742	8	4	model	model	NOUN
brj-24742	8	5	structure	structure	NOUN
brj-24742	8	6	and	and	CCONJ
brj-24742	8	7	advantages	advantage	NOUN
brj-24742	8	8	of	of	ADP
brj-24742	8	9	swin	swin	PROPN
brj-24742	8	10	transformer	transformer	PROPN
brj-24742	8	11	were	be	AUX
brj-24742	8	12	highlighted	highlight	VERB
brj-24742	8	13	,	,	PUNCT
brj-24742	8	14	in	in	ADP
brj-24742	8	15	which	which	PRON
brj-24742	8	16	hierarchical	hierarchical	ADJ
brj-24742	8	17	feature	feature	NOUN
brj-24742	8	18	extraction	extraction	NOUN
brj-24742	8	19	and	and	CCONJ
brj-24742	8	20	shifted	shift	VERB
brj-24742	8	21	window	window	NOUN
brj-24742	8	22	attention	attention	NOUN
brj-24742	8	23	mechanism	mechanism	NOUN
brj-24742	8	24	enable	enable	VERB
brj-24742	8	25	multi	multi	ADJ
brj-24742	8	26	-	-	ADJ
brj-24742	8	27	scale	scale	ADJ
brj-24742	8	28	fusion	fusion	NOUN
brj-24742	8	29	of	of	ADP
brj-24742	8	30	wood	wood	NOUN
brj-24742	8	31	structural	structural	ADJ
brj-24742	8	32	features	feature	NOUN
brj-24742	8	33	,	,	PUNCT
brj-24742	8	34	such	such	ADJ
brj-24742	8	35	as	as	ADP
brj-24742	8	36	tracheids	tracheid	NOUN
brj-24742	8	37	,	,	PUNCT
brj-24742	8	38	within	within	ADP
brj-24742	8	39	global	global	ADJ
brj-24742	8	40	contexts	contexts	NOUN
brj-24742	8	41	,	,	PUNCT
brj-24742	8	42	thereby	thereby	ADV
brj-24742	8	43	improving	improve	VERB
brj-24742	8	44	classification	classification	NOUN
brj-24742	8	45	accuracy	accuracy	NOUN
brj-24742	8	46	for	for	ADP
brj-24742	8	47	wood	wood	NOUN
brj-24742	8	48	cross	cross	ADJ
brj-24742	8	49	-	-	ADJ
brj-24742	8	50	sectional	sectional	ADJ
brj-24742	8	51	images	image	NOUN
brj-24742	8	52	.	.	PUNCT
brj-24742	9	1	experimental	experimental	ADJ
brj-24742	9	2	results	result	NOUN
brj-24742	9	3	showed	show	VERB
brj-24742	9	4	that	that	SCONJ
brj-24742	9	5	the	the	DET
brj-24742	9	6	swin	swin	PROPN
brj-24742	9	7	transformer	transformer	PROPN
brj-24742	9	8	model	model	NOUN
brj-24742	9	9	achieved	achieve	VERB
brj-24742	9	10	the	the	DET
brj-24742	9	11	highest	high	ADJ
brj-24742	9	12	classification	classification	NOUN
brj-24742	9	13	accuracy	accuracy	NOUN
brj-24742	9	14	of	of	ADP
brj-24742	9	15	99.97	99.97	NUM
brj-24742	9	16	%	%	NOUN
brj-24742	9	17	,	,	PUNCT
brj-24742	9	18	with	with	ADP
brj-24742	9	19	both	both	CCONJ
brj-24742	9	20	precision	precision	NOUN
brj-24742	9	21	and	and	CCONJ
brj-24742	9	22	recall	recall	VERB
brj-24742	9	23	exceeding	exceed	VERB
brj-24742	9	24	99	99	NUM
brj-24742	9	25	%	%	NOUN
brj-24742	9	26	and	and	CCONJ
brj-24742	9	27	an	an	DET
brj-24742	9	28	f1	f1	ADJ
brj-24742	9	29	score	score	NOUN
brj-24742	9	30	of	of	ADP
brj-24742	9	31	99	99	NUM
brj-24742	9	32	%	%	NOUN
brj-24742	9	33	.	.	PUNCT
brj-24742	10	1	these	these	DET
brj-24742	10	2	findings	finding	NOUN
brj-24742	10	3	validate	validate	VERB
brj-24742	10	4	that	that	SCONJ
brj-24742	10	5	deep	deep	ADJ
brj-24742	10	6	learning	learning	NOUN
brj-24742	10	7	networks	network	NOUN
brj-24742	10	8	based	base	VERB
brj-24742	10	9	on	on	ADP
brj-24742	10	10	the	the	DET
brj-24742	10	11	transformer	transformer	NOUN
brj-24742	10	12	framework	framework	NOUN
brj-24742	10	13	can	can	AUX
brj-24742	10	14	achieve	achieve	VERB
brj-24742	10	15	reliable	reliable	ADJ
brj-24742	10	16	image	image	NOUN
brj-24742	10	17	classification	classification	NOUN
brj-24742	10	18	performance	performance	NOUN
brj-24742	10	19	in	in	ADP
brj-24742	10	20	wood	wood	NOUN
brj-24742	10	21	research	research	NOUN
brj-24742	10	22	.	.	PUNCT
brj-24742	11	1	doi	doi	NOUN
brj-24742	11	2	:	:	PUNCT
brj-24742	11	3	10.15376	10.15376	NUM
brj-24742	11	4	/	/	SYM
brj-24742	11	5	biores.21.1.781	biores.21.1.781	NUM
brj-24742	11	6	-	-	SYM
brj-24742	11	7	798	798	NUM
brj-24742	11	8	keywords	keyword	NOUN
brj-24742	11	9	:	:	PUNCT
brj-24742	11	10	wood	wood	NOUN
brj-24742	11	11	identification	identification	NOUN
brj-24742	11	12	;	;	PUNCT
brj-24742	11	13	microstructure	microstructure	NOUN
brj-24742	11	14	;	;	PUNCT
brj-24742	11	15	building	building	NOUN
brj-24742	11	16	material	material	NOUN
brj-24742	11	17	;	;	PUNCT
brj-24742	11	18	deep	deep	ADJ
brj-24742	11	19	learning	learn	VERB
brj-24742	11	20	contact	contact	NOUN
brj-24742	11	21	information	information	NOUN
brj-24742	11	22	:	:	PUNCT
brj-24742	11	23	a	a	X
brj-24742	11	24	:	:	PUNCT
brj-24742	11	25	school	school	NOUN
brj-24742	11	26	of	of	ADP
brj-24742	11	27	information	information	NOUN
brj-24742	11	28	and	and	CCONJ
brj-24742	11	29	electrical	electrical	ADJ
brj-24742	11	30	engineering	engineering	NOUN
brj-24742	11	31	,	,	PUNCT
brj-24742	11	32	shandong	shandong	PROPN
brj-24742	11	33	jianzhu	jianzhu	PROPN
brj-24742	11	34	university	university	PROPN
brj-24742	11	35	,	,	PUNCT
brj-24742	11	36	jinan	jinan	PROPN
brj-24742	11	37	,	,	PUNCT
brj-24742	11	38	250101	250101	NUM
brj-24742	11	39	,	,	PUNCT
brj-24742	11	40	shandong	shandong	PROPN
brj-24742	11	41	,	,	PUNCT
brj-24742	11	42	china	china	PROPN
brj-24742	11	43	;	;	PUNCT
brj-24742	11	44	b	b	X
brj-24742	11	45	:	:	PUNCT
brj-24742	11	46	wood	wood	NOUN
brj-24742	11	47	value	value	NOUN
brj-24742	11	48	promotion	promotion	NOUN
brj-24742	11	49	and	and	CCONJ
brj-24742	11	50	sustainable	sustainable	ADJ
brj-24742	11	51	development	development	NOUN
brj-24742	11	52	center	center	NOUN
brj-24742	11	53	,	,	PUNCT
brj-24742	11	54	haidian	haidian	PROPN
brj-24742	11	55	,	,	PUNCT
brj-24742	11	56	100036	100036	NUM
brj-24742	11	57	,	,	PUNCT
brj-24742	11	58	beijing	beijing	PROPN
brj-24742	11	59	,	,	PUNCT
brj-24742	11	60	china	china	PROPN
brj-24742	11	61	;	;	PUNCT
brj-24742	11	62	c	c	X
brj-24742	11	63	:	:	PUNCT
brj-24742	11	64	school	school	NOUN
brj-24742	11	65	of	of	ADP
brj-24742	11	66	computer	computer	NOUN
brj-24742	11	67	and	and	CCONJ
brj-24742	11	68	artificial	artificial	ADJ
brj-24742	11	69	intelligence	intelligence	NOUN
brj-24742	11	70	,	,	PUNCT
brj-24742	11	71	shandong	shandong	PROPN
brj-24742	11	72	jianzhu	jianzhu	PROPN
brj-24742	11	73	university	university	PROPN
brj-24742	11	74	,	,	PUNCT
brj-24742	11	75	jinan	jinan	PROPN
brj-24742	11	76	,	,	PUNCT
brj-24742	11	77	250101	250101	NUM
brj-24742	11	78	,	,	PUNCT
brj-24742	11	79	shandong	shandong	PROPN
brj-24742	11	80	,	,	PUNCT
brj-24742	11	81	china	china	PROPN
brj-24742	11	82	;	;	PUNCT
brj-24742	11	83	*	*	PUNCT
brj-24742	11	84	corresponding	correspond	VERB
brj-24742	11	85	author	author	NOUN
brj-24742	11	86	:	:	PUNCT
brj-24742	11	87	zhouyucheng_2015@163.com	zhouyucheng_2015@163.com	X
brj-24742	11	88	introduction	introduction	NOUN
brj-24742	11	89	softwoods	softwood	NOUN
brj-24742	11	90	have	have	VERB
brj-24742	11	91	a	a	DET
brj-24742	11	92	wide	wide	ADJ
brj-24742	11	93	range	range	NOUN
brj-24742	11	94	of	of	ADP
brj-24742	11	95	applications	application	NOUN
brj-24742	11	96	in	in	ADP
brj-24742	11	97	construction	construction	NOUN
brj-24742	11	98	and	and	CCONJ
brj-24742	11	99	interior	interior	ADJ
brj-24742	11	100	decoration	decoration	NOUN
brj-24742	11	101	due	due	ADP
brj-24742	11	102	to	to	ADP
brj-24742	11	103	their	their	PRON
brj-24742	11	104	structural	structural	ADJ
brj-24742	11	105	properties	property	NOUN
brj-24742	11	106	and	and	CCONJ
brj-24742	11	107	workability	workability	NOUN
brj-24742	11	108	.	.	PUNCT
brj-24742	12	1	they	they	PRON
brj-24742	12	2	are	be	AUX
brj-24742	12	3	commonly	commonly	ADV
brj-24742	12	4	used	use	VERB
brj-24742	12	5	in	in	ADP
brj-24742	12	6	load	load	NOUN
brj-24742	12	7	-	-	PUNCT
brj-24742	12	8	bearing	bear	VERB
brj-24742	12	9	frameworks	framework	NOUN
brj-24742	12	10	such	such	ADJ
brj-24742	12	11	as	as	ADP
brj-24742	12	12	beams	beam	NOUN
brj-24742	12	13	and	and	CCONJ
brj-24742	12	14	columns	column	NOUN
brj-24742	12	15	.	.	PUNCT
brj-24742	13	1	they	they	PRON
brj-24742	13	2	are	be	AUX
brj-24742	13	3	also	also	ADV
brj-24742	13	4	noted	note	VERB
brj-24742	13	5	for	for	ADP
brj-24742	13	6	their	their	PRON
brj-24742	13	7	beautiful	beautiful	ADJ
brj-24742	13	8	texture	texture	NOUN
brj-24742	13	9	in	in	ADP
brj-24742	13	10	wall	wall	NOUN
brj-24742	13	11	panels	panel	NOUN
brj-24742	13	12	,	,	PUNCT
brj-24742	13	13	flooring	flooring	NOUN
brj-24742	13	14	and	and	CCONJ
brj-24742	13	15	furniture	furniture	NOUN
brj-24742	13	16	.	.	PUNCT
brj-24742	14	1	the	the	DET
brj-24742	14	2	properties	property	NOUN
brj-24742	14	3	of	of	ADP
brj-24742	14	4	different	different	ADJ
brj-24742	14	5	softwood	softwood	NOUN
brj-24742	14	6	species	specie	NOUN
brj-24742	14	7	vary	vary	VERB
brj-24742	14	8	significantly	significantly	ADV
brj-24742	14	9	,	,	PUNCT
brj-24742	14	10	and	and	CCONJ
brj-24742	14	11	their	their	PRON
brj-24742	14	12	material	material	NOUN
brj-24742	14	13	characteristics	characteristic	NOUN
brj-24742	14	14	directly	directly	ADV
brj-24742	14	15	affect	affect	VERB
brj-24742	14	16	the	the	DET
brj-24742	14	17	structural	structural	ADJ
brj-24742	14	18	safety	safety	NOUN
brj-24742	14	19	of	of	ADP
brj-24742	14	20	buildings	building	NOUN
brj-24742	14	21	.	.	PUNCT
brj-24742	15	1	some	some	DET
brj-24742	15	2	buildings	building	NOUN
brj-24742	15	3	need	need	VERB
brj-24742	15	4	to	to	PART
brj-24742	15	5	use	use	VERB
brj-24742	15	6	wood	wood	NOUN
brj-24742	15	7	certified	certify	VERB
brj-24742	15	8	by	by	ADP
brj-24742	15	9	the	the	DET
brj-24742	15	10	forest	forest	NOUN
brj-24742	15	11	stewardship	stewardship	NOUN
brj-24742	15	12	council	council	PROPN
brj-24742	15	13	(	(	PUNCT
brj-24742	15	14	fsc	fsc	PROPN
brj-24742	15	15	)	)	PUNCT
brj-24742	15	16	or	or	CCONJ
brj-24742	15	17	relevant	relevant	ADJ
brj-24742	15	18	institutions	institution	NOUN
brj-24742	15	19	when	when	SCONJ
brj-24742	15	20	obtaining	obtain	VERB
brj-24742	15	21	leed	leed	NOUN
brj-24742	15	22	certification	certification	NOUN
brj-24742	15	23	for	for	ADP
brj-24742	15	24	green	green	ADJ
brj-24742	15	25	buildings	building	NOUN
brj-24742	15	26	(	(	PUNCT
brj-24742	15	27	u.s	u.s	PROPN
brj-24742	15	28	.	.	PROPN
brj-24742	15	29	green	green	PROPN
brj-24742	15	30	building	building	PROPN
brj-24742	15	31	council	council	PROPN
brj-24742	15	32	,	,	PUNCT
brj-24742	15	33	2019	2019	NUM
brj-24742	15	34	)	)	PUNCT
brj-24742	15	35	.	.	PUNCT
brj-24742	16	1	such	such	ADJ
brj-24742	16	2	programs	program	NOUN
brj-24742	16	3	require	require	VERB
brj-24742	16	4	wood	wood	NOUN
brj-24742	16	5	identification	identification	NOUN
brj-24742	16	6	as	as	ADP
brj-24742	16	7	a	a	DET
brj-24742	16	8	critical	critical	ADJ
brj-24742	16	9	certification	certification	NOUN
brj-24742	16	10	criterion	criterion	NOUN
brj-24742	16	11	,	,	PUNCT
brj-24742	16	12	which	which	PRON
brj-24742	16	13	involves	involve	VERB
brj-24742	16	14	the	the	DET
brj-24742	16	15	identification	identification	NOUN
brj-24742	16	16	of	of	ADP
brj-24742	16	17	the	the	DET
brj-24742	16	18	type	type	NOUN
brj-24742	16	19	of	of	ADP
brj-24742	16	20	wood	wood	NOUN
brj-24742	16	21	and	and	CCONJ
brj-24742	16	22	the	the	DET
brj-24742	16	23	origin	origin	NOUN
brj-24742	16	24	of	of	ADP
brj-24742	16	25	the	the	DET
brj-24742	16	26	wood	wood	NOUN
brj-24742	16	27	.	.	PUNCT
brj-24742	17	1	therefore	therefore	ADV
brj-24742	17	2	,	,	PUNCT
brj-24742	17	3	accurately	accurately	ADV
brj-24742	17	4	identifying	identify	VERB
brj-24742	17	5	tree	tree	NOUN
brj-24742	17	6	species	specie	NOUN
brj-24742	17	7	not	not	PART
brj-24742	17	8	only	only	ADV
brj-24742	17	9	ensures	ensure	VERB
brj-24742	17	10	that	that	SCONJ
brj-24742	17	11	the	the	DET
brj-24742	17	12	safety	safety	NOUN
brj-24742	17	13	of	of	ADP
brj-24742	17	14	the	the	DET
brj-24742	17	15	material	material	NOUN
brj-24742	17	16	complies	complie	NOUN
brj-24742	17	17	with	with	ADP
brj-24742	17	18	engineering	engineering	NOUN
brj-24742	17	19	specifications	specification	NOUN
brj-24742	17	20	and	and	CCONJ
brj-24742	17	21	building	building	NOUN
brj-24742	17	22	standards	standard	NOUN
brj-24742	17	23	,	,	PUNCT
brj-24742	17	24	but	but	CCONJ
brj-24742	17	25	also	also	ADV
brj-24742	17	26	holds	hold	VERB
brj-24742	17	27	significant	significant	ADJ
brj-24742	17	28	importance	importance	NOUN
brj-24742	17	29	for	for	ADP
brj-24742	17	30	green	green	ADJ
brj-24742	17	31	building	building	NOUN
brj-24742	17	32	certification	certification	NOUN
brj-24742	17	33	.	.	PUNCT
brj-24742	18	1	https://orcid.org/0000-0002-6737-6593	https://orcid.org/0000-0002-6737-6593	PROPN
brj-24742	18	2	https://orcid.org/0009-0005-3534-1942	https://orcid.org/0009-0005-3534-1942	PROPN
brj-24742	18	3	https://orcid.org/0009-0007-0099-1448	https://orcid.org/0009-0007-0099-1448	X
brj-24742	18	4	https://orcid.org/0009-0000-0610-5389	https://orcid.org/0009-0000-0610-5389	PROPN
brj-24742	18	5	https://orcid.org/0009-0007-8087-4590	https://orcid.org/0009-0007-8087-4590	PROPN
brj-24742	18	6	peer	peer	NOUN
brj-24742	18	7	-	-	PUNCT
brj-24742	18	8	reviewed	review	VERB
brj-24742	18	9	article	article	NOUN
brj-24742	18	10	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24742	18	11	tian	tian	PROPN
brj-24742	18	12	et	et	PROPN
brj-24742	18	13	al	al	PROPN
brj-24742	18	14	.	.	PROPN
brj-24742	19	1	(	(	PUNCT
brj-24742	19	2	2026	2026	NUM
brj-24742	19	3	)	)	PUNCT
brj-24742	19	4	.	.	PUNCT
brj-24742	20	1	“	"	PUNCT
brj-24742	20	2	softwood	softwood	NOUN
brj-24742	20	3	classification	classification	NOUN
brj-24742	20	4	for	for	ADP
brj-24742	20	5	design	design	NOUN
brj-24742	20	6	,	,	PUNCT
brj-24742	20	7	”	"	PUNCT
brj-24742	20	8	bioresources	bioresource	NOUN
brj-24742	20	9	21(1	21(1	NUM
brj-24742	20	10	)	)	PUNCT
brj-24742	20	11	,	,	PUNCT
brj-24742	20	12	781	781	NUM
brj-24742	20	13	-	-	SYM
brj-24742	20	14	798	798	NUM
brj-24742	20	15	.	.	PUNCT
brj-24742	21	1	782	782	NUM
brj-24742	21	2	the	the	DET
brj-24742	21	3	differentiation	differentiation	NOUN
brj-24742	21	4	of	of	ADP
brj-24742	21	5	softwood	softwood	NOUN
brj-24742	21	6	remains	remain	VERB
brj-24742	21	7	challenging	challenging	ADJ
brj-24742	21	8	,	,	PUNCT
brj-24742	21	9	as	as	SCONJ
brj-24742	21	10	documented	document	VERB
brj-24742	21	11	in	in	ADP
brj-24742	21	12	studies	study	NOUN
brj-24742	21	13	by	by	ADP
brj-24742	21	14	moulin	moulin	PROPN
brj-24742	21	15	et	et	PROPN
brj-24742	21	16	al	al	PROPN
brj-24742	21	17	.	.	PROPN
brj-24742	22	1	(	(	PUNCT
brj-24742	22	2	2022	2022	NUM
brj-24742	22	3	)	)	PUNCT
brj-24742	22	4	and	and	CCONJ
brj-24742	22	5	gao	gao	PROPN
brj-24742	22	6	et	et	PROPN
brj-24742	22	7	al	al	PROPN
brj-24742	22	8	.	.	PROPN
brj-24742	23	1	(	(	PUNCT
brj-24742	23	2	2023	2023	NUM
brj-24742	23	3	)	)	PUNCT
brj-24742	23	4	,	,	PUNCT
brj-24742	23	5	which	which	PRON
brj-24742	23	6	highlight	highlight	VERB
brj-24742	23	7	that	that	SCONJ
brj-24742	23	8	interspecific	interspecific	NOUN
brj-24742	23	9	similarities	similarity	NOUN
brj-24742	23	10	and	and	CCONJ
brj-24742	23	11	intraspecific	intraspecific	NOUN
brj-24742	23	12	variability	variability	NOUN
brj-24742	23	13	in	in	ADP
brj-24742	23	14	wood	wood	NOUN
brj-24742	23	15	species	specie	NOUN
brj-24742	23	16	often	often	ADV
brj-24742	23	17	induce	induce	VERB
brj-24742	23	18	species	specie	NOUN
brj-24742	23	19	confusion	confusion	NOUN
brj-24742	23	20	.	.	PUNCT
brj-24742	24	1	such	such	ADJ
brj-24742	24	2	misclassification	misclassification	NOUN
brj-24742	24	3	outcomes	outcome	NOUN
brj-24742	24	4	directly	directly	ADV
brj-24742	24	5	lead	lead	VERB
brj-24742	24	6	to	to	ADP
brj-24742	24	7	product	product	NOUN
brj-24742	24	8	quality	quality	NOUN
brj-24742	24	9	deviating	deviate	VERB
brj-24742	24	10	from	from	ADP
brj-24742	24	11	expected	expect	VERB
brj-24742	24	12	standards	standard	NOUN
brj-24742	24	13	.	.	PUNCT
brj-24742	25	1	the	the	DET
brj-24742	25	2	research	research	NOUN
brj-24742	25	3	on	on	ADP
brj-24742	25	4	the	the	DET
brj-24742	25	5	identification	identification	NOUN
brj-24742	25	6	of	of	ADP
brj-24742	25	7	wood	wood	NOUN
brj-24742	25	8	species	specie	NOUN
brj-24742	25	9	has	have	AUX
brj-24742	25	10	continued	continue	VERB
brj-24742	25	11	,	,	PUNCT
brj-24742	25	12	which	which	PRON
brj-24742	25	13	has	have	AUX
brj-24742	25	14	progressed	progress	VERB
brj-24742	25	15	from	from	ADP
brj-24742	25	16	traditional	traditional	ADJ
brj-24742	25	17	expert	expert	NOUN
brj-24742	25	18	assessment	assessment	NOUN
brj-24742	25	19	based	base	VERB
brj-24742	25	20	on	on	ADP
brj-24742	25	21	structural	structural	ADJ
brj-24742	25	22	characteristics	characteristic	NOUN
brj-24742	25	23	to	to	ADP
brj-24742	25	24	modern	modern	ADJ
brj-24742	25	25	computer	computer	NOUN
brj-24742	25	26	vision	vision	NOUN
brj-24742	25	27	techniques	technique	NOUN
brj-24742	25	28	employing	employ	VERB
brj-24742	25	29	large	large	ADJ
brj-24742	25	30	-	-	PUNCT
brj-24742	25	31	scale	scale	NOUN
brj-24742	25	32	image	image	NOUN
brj-24742	25	33	recognition	recognition	NOUN
brj-24742	25	34	.	.	PUNCT
brj-24742	26	1	technological	technological	ADJ
brj-24742	26	2	advances	advance	NOUN
brj-24742	26	3	have	have	AUX
brj-24742	26	4	significantly	significantly	ADV
brj-24742	26	5	enhanced	enhance	VERB
brj-24742	26	6	the	the	DET
brj-24742	26	7	accuracy	accuracy	NOUN
brj-24742	26	8	and	and	CCONJ
brj-24742	26	9	efficiency	efficiency	NOUN
brj-24742	26	10	of	of	ADP
brj-24742	26	11	classification	classification	NOUN
brj-24742	26	12	methods	method	NOUN
brj-24742	26	13	.	.	PUNCT
brj-24742	27	1	oktaria	oktaria	PROPN
brj-24742	27	2	et	et	PROPN
brj-24742	27	3	al	al	PROPN
brj-24742	27	4	.	.	PROPN
brj-24742	28	1	(	(	PUNCT
brj-24742	28	2	2019	2019	NUM
brj-24742	28	3	)	)	PUNCT
brj-24742	28	4	developed	develop	VERB
brj-24742	28	5	a	a	DET
brj-24742	28	6	wood	wood	NOUN
brj-24742	28	7	identification	identification	NOUN
brj-24742	28	8	system	system	NOUN
brj-24742	28	9	that	that	PRON
brj-24742	28	10	classifies	classify	VERB
brj-24742	28	11	wood	wood	NOUN
brj-24742	28	12	species	specie	NOUN
brj-24742	28	13	based	base	VERB
brj-24742	28	14	on	on	ADP
brj-24742	28	15	macroscopic	macroscopic	ADJ
brj-24742	28	16	images	image	NOUN
brj-24742	28	17	and	and	CCONJ
brj-24742	28	18	taxonomic	taxonomic	ADJ
brj-24742	28	19	names	name	NOUN
brj-24742	28	20	.	.	PUNCT
brj-24742	29	1	their	their	PRON
brj-24742	29	2	method	method	NOUN
brj-24742	29	3	employs	employ	VERB
brj-24742	29	4	a	a	DET
brj-24742	29	5	convolutional	convolutional	ADJ
brj-24742	29	6	neural	neural	ADJ
brj-24742	29	7	network	network	NOUN
brj-24742	29	8	(	(	PUNCT
brj-24742	29	9	cnn	cnn	PROPN
brj-24742	29	10	)	)	PUNCT
brj-24742	29	11	model	model	NOUN
brj-24742	29	12	as	as	ADP
brj-24742	29	13	the	the	DET
brj-24742	29	14	classification	classification	NOUN
brj-24742	29	15	algorithm	algorithm	NOUN
brj-24742	29	16	.	.	PUNCT
brj-24742	30	1	comparative	comparative	ADJ
brj-24742	30	2	experiments	experiment	NOUN
brj-24742	30	3	are	be	AUX
brj-24742	30	4	conducted	conduct	VERB
brj-24742	30	5	with	with	ADP
brj-24742	30	6	classical	classical	ADJ
brj-24742	30	7	deep	deep	ADJ
brj-24742	30	8	learning	learning	NOUN
brj-24742	30	9	architectures	architecture	NOUN
brj-24742	30	10	,	,	PUNCT
brj-24742	30	11	including	include	VERB
brj-24742	30	12	alexnet	alexnet	NOUN
brj-24742	30	13	,	,	PUNCT
brj-24742	30	14	resnet	resnet	NOUN
brj-24742	30	15	,	,	PUNCT
brj-24742	30	16	and	and	CCONJ
brj-24742	30	17	googlenet	googlenet	NOUN
brj-24742	30	18	.	.	PUNCT
brj-24742	31	1	the	the	DET
brj-24742	31	2	results	result	NOUN
brj-24742	31	3	demonstrated	demonstrate	VERB
brj-24742	31	4	that	that	SCONJ
brj-24742	31	5	alexnet	alexnet	NOUN
brj-24742	31	6	achieved	achieve	VERB
brj-24742	31	7	optimal	optimal	ADJ
brj-24742	31	8	performance	performance	NOUN
brj-24742	31	9	with	with	ADP
brj-24742	31	10	96.7	96.7	NUM
brj-24742	31	11	%	%	NOUN
brj-24742	31	12	classification	classification	NOUN
brj-24742	31	13	accuracy	accuracy	NOUN
brj-24742	31	14	.	.	PUNCT
brj-24742	32	1	lens	lens	NOUN
brj-24742	32	2	et	et	PROPN
brj-24742	32	3	al	al	PROPN
brj-24742	32	4	.	.	PROPN
brj-24742	33	1	(	(	PUNCT
brj-24742	33	2	2020	2020	NUM
brj-24742	33	3	)	)	PUNCT
brj-24742	33	4	conducted	conduct	VERB
brj-24742	33	5	a	a	DET
brj-24742	33	6	comprehensive	comprehensive	ADJ
brj-24742	33	7	study	study	NOUN
brj-24742	33	8	using	use	VERB
brj-24742	33	9	south	south	ADJ
brj-24742	33	10	american	american	ADJ
brj-24742	33	11	wood	wood	NOUN
brj-24742	33	12	image	image	NOUN
brj-24742	33	13	datasets	dataset	NOUN
brj-24742	33	14	,	,	PUNCT
brj-24742	33	15	achieving	achieve	VERB
brj-24742	33	16	95.6	95.6	NUM
brj-24742	33	17	%	%	NOUN
brj-24742	33	18	classification	classification	NOUN
brj-24742	33	19	accuracy	accuracy	NOUN
brj-24742	33	20	for	for	ADP
brj-24742	33	21	112	112	NUM
brj-24742	33	22	wood	wood	NOUN
brj-24742	33	23	species	specie	NOUN
brj-24742	33	24	through	through	ADP
brj-24742	33	25	a	a	DET
brj-24742	33	26	cnn	cnn	NOUN
brj-24742	33	27	architecture	architecture	NOUN
brj-24742	33	28	integrating	integrate	VERB
brj-24742	33	29	multiple	multiple	ADJ
brj-24742	33	30	feature	feature	NOUN
brj-24742	33	31	descriptors	descriptor	NOUN
brj-24742	33	32	including	include	VERB
brj-24742	33	33	texture	texture	ADJ
brj-24742	33	34	analysis	analysis	NOUN
brj-24742	33	35	,	,	PUNCT
brj-24742	33	36	gabor	gabor	NOUN
brj-24742	33	37	filters	filter	NOUN
brj-24742	33	38	,	,	PUNCT
brj-24742	33	39	and	and	CCONJ
brj-24742	33	40	histogram	histogram	NOUN
brj-24742	33	41	of	of	ADP
brj-24742	33	42	oriented	orient	VERB
brj-24742	33	43	gradients	gradient	NOUN
brj-24742	33	44	(	(	PUNCT
brj-24742	33	45	hog	hog	PROPN
brj-24742	33	46	)	)	PUNCT
brj-24742	33	47	.	.	PUNCT
brj-24742	34	1	he	he	PRON
brj-24742	34	2	et	et	PROPN
brj-24742	34	3	al	al	PROPN
brj-24742	34	4	.	.	PROPN
brj-24742	34	5	(	(	PUNCT
brj-24742	34	6	2021	2021	NUM
brj-24742	34	7	)	)	PUNCT
brj-24742	34	8	proposed	propose	VERB
brj-24742	34	9	an	an	DET
brj-24742	34	10	integration	integration	NOUN
brj-24742	34	11	framework	framework	NOUN
brj-24742	34	12	incorporating	incorporate	VERB
brj-24742	34	13	three	three	NUM
brj-24742	34	14	cnns	cnn	NOUN
brj-24742	34	15	,	,	PUNCT
brj-24742	34	16	which	which	PRON
brj-24742	34	17	was	be	AUX
brj-24742	34	18	trained	train	VERB
brj-24742	34	19	on	on	ADP
brj-24742	34	20	two	two	NUM
brj-24742	34	21	macroscopic	macroscopic	ADJ
brj-24742	34	22	wood	wood	NOUN
brj-24742	34	23	image	image	NOUN
brj-24742	34	24	datasets	dataset	NOUN
brj-24742	34	25	.	.	PUNCT
brj-24742	35	1	after	after	ADP
brj-24742	35	2	evaluating	evaluate	VERB
brj-24742	35	3	9	9	NUM
brj-24742	35	4	distinct	distinct	ADJ
brj-24742	35	5	cnn	cnn	PROPN
brj-24742	35	6	architectures	architecture	NOUN
brj-24742	35	7	,	,	PUNCT
brj-24742	35	8	the	the	DET
brj-24742	35	9	model	model	NOUN
brj-24742	35	10	demonstrated	demonstrate	VERB
brj-24742	35	11	100	100	NUM
brj-24742	35	12	%	%	NOUN
brj-24742	35	13	perfect	perfect	ADJ
brj-24742	35	14	classification	classification	NOUN
brj-24742	35	15	on	on	ADP
brj-24742	35	16	their	their	PRON
brj-24742	35	17	proprietary	proprietary	ADJ
brj-24742	35	18	dataset	dataset	NOUN
brj-24742	35	19	and	and	CCONJ
brj-24742	35	20	98.81	98.81	NUM
brj-24742	35	21	%	%	NOUN
brj-24742	35	22	accuracy	accuracy	NOUN
brj-24742	35	23	on	on	ADP
brj-24742	35	24	external	external	ADJ
brj-24742	35	25	datasets	dataset	NOUN
brj-24742	35	26	.	.	PUNCT
brj-24742	36	1	these	these	DET
brj-24742	36	2	results	result	NOUN
brj-24742	36	3	show	show	VERB
brj-24742	36	4	that	that	SCONJ
brj-24742	36	5	macroscopic	macroscopic	ADJ
brj-24742	36	6	images	image	NOUN
brj-24742	36	7	can	can	AUX
brj-24742	36	8	potentially	potentially	ADV
brj-24742	36	9	replace	replace	VERB
brj-24742	36	10	microscopic	microscopic	ADJ
brj-24742	36	11	analysis	analysis	NOUN
brj-24742	36	12	for	for	ADP
brj-24742	36	13	wood	wood	NOUN
brj-24742	36	14	species	specie	NOUN
brj-24742	36	15	identification	identification	NOUN
brj-24742	36	16	,	,	PUNCT
brj-24742	36	17	while	while	SCONJ
brj-24742	36	18	confirming	confirm	VERB
brj-24742	36	19	the	the	DET
brj-24742	36	20	efficacy	efficacy	NOUN
brj-24742	36	21	of	of	ADP
brj-24742	36	22	deep	deep	ADJ
brj-24742	36	23	cnn	cnn	PROPN
brj-24742	36	24	integration	integration	NOUN
brj-24742	36	25	for	for	ADP
brj-24742	36	26	this	this	DET
brj-24742	36	27	application	application	NOUN
brj-24742	36	28	.	.	PUNCT
brj-24742	37	1	moulin	moulin	PROPN
brj-24742	37	2	et	et	PROPN
brj-24742	37	3	al	al	PROPN
brj-24742	37	4	.	.	PROPN
brj-24742	37	5	(	(	PUNCT
brj-24742	37	6	2022	2022	NUM
brj-24742	37	7	)	)	PUNCT
brj-24742	37	8	developed	develop	VERB
brj-24742	37	9	a	a	DET
brj-24742	37	10	cnn	cnn	PROPN
brj-24742	37	11	-	-	PUNCT
brj-24742	37	12	based	base	VERB
brj-24742	37	13	system	system	NOUN
brj-24742	37	14	that	that	PRON
brj-24742	37	15	achieved	achieve	VERB
brj-24742	37	16	over	over	ADP
brj-24742	37	17	90	90	NUM
brj-24742	37	18	%	%	NOUN
brj-24742	37	19	accuracy	accuracy	NOUN
brj-24742	37	20	in	in	ADP
brj-24742	37	21	classifying	classify	VERB
brj-24742	37	22	23	23	NUM
brj-24742	37	23	brazilian	brazilian	ADJ
brj-24742	37	24	commercial	commercial	ADJ
brj-24742	37	25	wood	wood	NOUN
brj-24742	37	26	samples	sample	NOUN
brj-24742	37	27	from	from	ADP
brj-24742	37	28	2,448	2,448	NUM
brj-24742	37	29	images	image	NOUN
brj-24742	37	30	.	.	PUNCT
brj-24742	38	1	however	however	ADV
brj-24742	38	2	,	,	PUNCT
brj-24742	38	3	the	the	DET
brj-24742	38	4	model	model	NOUN
brj-24742	38	5	showed	show	VERB
brj-24742	38	6	limited	limited	ADJ
brj-24742	38	7	discriminative	discriminative	NOUN
brj-24742	38	8	capability	capability	NOUN
brj-24742	38	9	between	between	ADP
brj-24742	38	10	toona	toona	NOUN
brj-24742	38	11	ciliata	ciliata	NOUN
brj-24742	38	12	and	and	CCONJ
brj-24742	38	13	khaya	khaya	PROPN
brj-24742	38	14	ivorensis	ivorensis	PROPN
brj-24742	38	15	,	,	PUNCT
brj-24742	38	16	primarily	primarily	ADV
brj-24742	38	17	due	due	ADP
brj-24742	38	18	to	to	ADP
brj-24742	38	19	the	the	DET
brj-24742	38	20	high	high	ADJ
brj-24742	38	21	structural	structural	ADJ
brj-24742	38	22	similarity	similarity	NOUN
brj-24742	38	23	,	,	PUNCT
brj-24742	38	24	in	in	ADP
brj-24742	38	25	addition	addition	NOUN
brj-24742	38	26	to	to	ADP
brj-24742	38	27	the	the	DET
brj-24742	38	28	wood	wood	NOUN
brj-24742	38	29	variability	variability	NOUN
brj-24742	38	30	within	within	ADP
brj-24742	38	31	these	these	DET
brj-24742	38	32	species	specie	NOUN
brj-24742	38	33	.	.	PUNCT
brj-24742	39	1	gao	gao	PROPN
brj-24742	39	2	et	et	PROPN
brj-24742	39	3	al	al	PROPN
brj-24742	39	4	.	.	PROPN
brj-24742	39	5	(	(	PUNCT
brj-24742	39	6	2023	2023	NUM
brj-24742	39	7	)	)	PUNCT
brj-24742	39	8	compared	compare	VERB
brj-24742	39	9	four	four	NUM
brj-24742	39	10	cnn	cnn	PROPN
brj-24742	39	11	models	model	NOUN
brj-24742	39	12	for	for	ADP
brj-24742	39	13	tree	tree	NOUN
brj-24742	39	14	species	specie	NOUN
brj-24742	39	15	identification	identification	NOUN
brj-24742	39	16	using	use	VERB
brj-24742	39	17	annual	annual	ADJ
brj-24742	39	18	ring	ring	NOUN
brj-24742	39	19	characteristics	characteristic	NOUN
brj-24742	39	20	.	.	PUNCT
brj-24742	40	1	even	even	ADV
brj-24742	40	2	though	though	SCONJ
brj-24742	40	3	the	the	DET
brj-24742	40	4	googlenet	googlenet	NOUN
brj-24742	40	5	achieved	achieve	VERB
brj-24742	40	6	the	the	DET
brj-24742	40	7	highest	high	ADJ
brj-24742	40	8	accuracy	accuracy	NOUN
brj-24742	40	9	of	of	ADP
brj-24742	40	10	96.7	96.7	NUM
brj-24742	40	11	%	%	NOUN
brj-24742	40	12	,	,	PUNCT
brj-24742	40	13	some	some	PRON
brj-24742	40	14	interspecies	interspecie	VERB
brj-24742	40	15	confusion	confusion	NOUN
brj-24742	40	16	persisted	persist	VERB
brj-24742	40	17	in	in	ADP
brj-24742	40	18	the	the	DET
brj-24742	40	19	classification	classification	NOUN
brj-24742	40	20	results	result	NOUN
brj-24742	40	21	.	.	PUNCT
brj-24742	41	1	the	the	DET
brj-24742	41	2	experiment	experiment	NOUN
brj-24742	41	3	revealed	reveal	VERB
brj-24742	41	4	that	that	SCONJ
brj-24742	41	5	the	the	DET
brj-24742	41	6	recognition	recognition	NOUN
brj-24742	41	7	accuracy	accuracy	NOUN
brj-24742	41	8	at	at	ADP
brj-24742	41	9	the	the	DET
brj-24742	41	10	family	family	NOUN
brj-24742	41	11	and	and	CCONJ
brj-24742	41	12	genus	genus	NOUN
brj-24742	41	13	levels	level	NOUN
brj-24742	41	14	was	be	AUX
brj-24742	41	15	higher	high	ADJ
brj-24742	41	16	than	than	ADP
brj-24742	41	17	that	that	PRON
brj-24742	41	18	at	at	ADP
brj-24742	41	19	the	the	DET
brj-24742	41	20	species	species	NOUN
brj-24742	41	21	level	level	NOUN
brj-24742	41	22	,	,	PUNCT
brj-24742	41	23	and	and	CCONJ
brj-24742	41	24	the	the	DET
brj-24742	41	25	identification	identification	NOUN
brj-24742	41	26	accuracy	accuracy	NOUN
brj-24742	41	27	of	of	ADP
brj-24742	41	28	broad	broad	ADV
brj-24742	41	29	-	-	PUNCT
brj-24742	41	30	leaved	leave	VERB
brj-24742	41	31	tree	tree	NOUN
brj-24742	41	32	species	specie	NOUN
brj-24742	41	33	was	be	AUX
brj-24742	41	34	higher	high	ADJ
brj-24742	41	35	than	than	ADP
brj-24742	41	36	that	that	PRON
brj-24742	41	37	of	of	ADP
brj-24742	41	38	coniferous	coniferous	ADJ
brj-24742	41	39	tree	tree	NOUN
brj-24742	41	40	species	specie	NOUN
brj-24742	41	41	.	.	PUNCT
brj-24742	42	1	similar	similar	ADJ
brj-24742	42	2	research	research	NOUN
brj-24742	42	3	findings	finding	NOUN
brj-24742	42	4	were	be	AUX
brj-24742	42	5	confirmed	confirm	VERB
brj-24742	42	6	in	in	ADP
brj-24742	42	7	the	the	DET
brj-24742	42	8	paper	paper	NOUN
brj-24742	42	9	by	by	ADP
brj-24742	42	10	silva	silva	PROPN
brj-24742	42	11	et	et	PROPN
brj-24742	42	12	al	al	PROPN
brj-24742	42	13	.	.	PROPN
brj-24742	43	1	(	(	PUNCT
brj-24742	43	2	2017	2017	NUM
brj-24742	43	3	)	)	PUNCT
brj-24742	43	4	.	.	PUNCT
brj-24742	44	1	in	in	ADP
brj-24742	44	2	2024	2024	NUM
brj-24742	44	3	,	,	PUNCT
brj-24742	44	4	liu	liu	PROPN
brj-24742	44	5	et	et	PROPN
brj-24742	44	6	al	al	PROPN
brj-24742	44	7	.	.	PROPN
brj-24742	44	8	identified	identify	VERB
brj-24742	44	9	27	27	NUM
brj-24742	44	10	endangered	endangered	ADJ
brj-24742	44	11	wood	wood	NOUN
brj-24742	44	12	species	specie	NOUN
brj-24742	44	13	based	base	VERB
brj-24742	44	14	on	on	ADP
brj-24742	44	15	the	the	DET
brj-24742	44	16	resnet	resnet	NOUN
brj-24742	44	17	model	model	NOUN
brj-24742	44	18	,	,	PUNCT
brj-24742	44	19	achieving	achieve	VERB
brj-24742	44	20	a	a	DET
brj-24742	44	21	recognition	recognition	NOUN
brj-24742	44	22	accuracy	accuracy	NOUN
brj-24742	44	23	of	of	ADP
brj-24742	44	24	98	98	NUM
brj-24742	44	25	%	%	NOUN
brj-24742	44	26	.	.	PUNCT
brj-24742	45	1	also	also	ADV
brj-24742	45	2	in	in	ADP
brj-24742	45	3	2024	2024	NUM
brj-24742	45	4	,	,	PUNCT
brj-24742	45	5	zheng	zheng	PROPN
brj-24742	45	6	et	et	PROPN
brj-24742	45	7	al	al	PROPN
brj-24742	45	8	.	.	PROPN
brj-24742	45	9	proposed	propose	VERB
brj-24742	45	10	the	the	DET
brj-24742	45	11	woodglnet	woodglnet	NOUN
brj-24742	45	12	model	model	NOUN
brj-24742	45	13	based	base	VERB
brj-24742	45	14	on	on	ADP
brj-24742	45	15	a	a	DET
brj-24742	45	16	pyramid	pyramid	NOUN
brj-24742	45	17	attention	attention	NOUN
brj-24742	45	18	mechanism	mechanism	NOUN
brj-24742	45	19	,	,	PUNCT
brj-24742	45	20	with	with	SCONJ
brj-24742	45	21	an	an	DET
brj-24742	45	22	identification	identification	NOUN
brj-24742	45	23	accuracy	accuracy	NOUN
brj-24742	45	24	of	of	ADP
brj-24742	45	25	99	99	NUM
brj-24742	45	26	%	%	NOUN
brj-24742	45	27	on	on	ADP
brj-24742	45	28	20	20	NUM
brj-24742	45	29	types	type	NOUN
brj-24742	45	30	of	of	ADP
brj-24742	45	31	wood	wood	NOUN
brj-24742	45	32	species	specie	NOUN
brj-24742	45	33	ct	ct	PRON
brj-24742	45	34	dataset	dataset	VERB
brj-24742	45	35	.	.	PUNCT
brj-24742	46	1	the	the	DET
brj-24742	46	2	analysis	analysis	NOUN
brj-24742	46	3	shows	show	VERB
brj-24742	46	4	that	that	SCONJ
brj-24742	46	5	the	the	DET
brj-24742	46	6	introduction	introduction	NOUN
brj-24742	46	7	of	of	ADP
brj-24742	46	8	an	an	DET
brj-24742	46	9	attention	attention	NOUN
brj-24742	46	10	mechanism	mechanism	NOUN
brj-24742	46	11	in	in	ADP
brj-24742	46	12	the	the	DET
brj-24742	46	13	deep	deep	ADJ
brj-24742	46	14	learning	learning	NOUN
brj-24742	46	15	model	model	NOUN
brj-24742	46	16	allows	allow	VERB
brj-24742	46	17	for	for	ADP
brj-24742	46	18	greater	great	ADJ
brj-24742	46	19	focus	focus	NOUN
brj-24742	46	20	on	on	ADP
brj-24742	46	21	the	the	DET
brj-24742	46	22	important	important	ADJ
brj-24742	46	23	features	feature	NOUN
brj-24742	46	24	of	of	ADP
brj-24742	46	25	wood	wood	NOUN
brj-24742	46	26	and	and	CCONJ
brj-24742	46	27	flexible	flexible	ADJ
brj-24742	46	28	handling	handling	NOUN
brj-24742	46	29	of	of	ADP
brj-24742	46	30	the	the	DET
brj-24742	46	31	relationship	relationship	NOUN
brj-24742	46	32	between	between	ADP
brj-24742	46	33	wood	wood	NOUN
brj-24742	46	34	species	specie	NOUN
brj-24742	46	35	and	and	CCONJ
brj-24742	46	36	image	image	NOUN
brj-24742	46	37	textures	texture	NOUN
brj-24742	46	38	.	.	PUNCT
brj-24742	47	1	the	the	DET
brj-24742	47	2	transformer	transformer	NOUN
brj-24742	47	3	model	model	NOUN
brj-24742	47	4	,	,	PUNCT
brj-24742	47	5	first	first	ADV
brj-24742	47	6	proposed	propose	VERB
brj-24742	47	7	by	by	ADP
brj-24742	47	8	vaswani	vaswani	PROPN
brj-24742	47	9	et	et	PROPN
brj-24742	47	10	al	al	PROPN
brj-24742	47	11	.	.	PROPN
brj-24742	47	12	(	(	PUNCT
brj-24742	47	13	2017	2017	NUM
brj-24742	47	14	)	)	PUNCT
brj-24742	47	15	,	,	PUNCT
brj-24742	47	16	revolutionized	revolutionize	VERB
brj-24742	47	17	natural	natural	ADJ
brj-24742	47	18	language	language	NOUN
brj-24742	47	19	processing	processing	NOUN
brj-24742	47	20	tasks	task	NOUN
brj-24742	47	21	through	through	ADP
brj-24742	47	22	its	its	PRON
brj-24742	47	23	self	self	NOUN
brj-24742	47	24	-	-	PUNCT
brj-24742	47	25	attention	attention	NOUN
brj-24742	47	26	mechanism	mechanism	NOUN
brj-24742	47	27	,	,	PUNCT
brj-24742	47	28	outperforming	outperform	VERB
brj-24742	47	29	traditional	traditional	ADJ
brj-24742	47	30	deep	deep	ADJ
brj-24742	47	31	learning	learning	NOUN
brj-24742	47	32	models	model	NOUN
brj-24742	47	33	.	.	PUNCT
brj-24742	48	1	subsequently	subsequently	ADV
brj-24742	48	2	,	,	PUNCT
brj-24742	48	3	researchers	researcher	NOUN
brj-24742	48	4	extended	extend	VERB
brj-24742	48	5	its	its	PRON
brj-24742	48	6	application	application	NOUN
brj-24742	48	7	to	to	ADP
brj-24742	48	8	digital	digital	ADJ
brj-24742	48	9	image	image	NOUN
brj-24742	48	10	processing	processing	NOUN
brj-24742	48	11	.	.	PUNCT
brj-24742	49	1	a	a	DET
brj-24742	49	2	pivotal	pivotal	ADJ
brj-24742	49	3	advancement	advancement	NOUN
brj-24742	49	4	occurred	occur	VERB
brj-24742	49	5	in	in	ADP
brj-24742	49	6	2020	2020	NUM
brj-24742	49	7	when	when	SCONJ
brj-24742	49	8	dosovitskiy	dosovitskiy	X
brj-24742	49	9	et	et	PROPN
brj-24742	49	10	al	al	PROPN
brj-24742	49	11	.	.	PROPN
brj-24742	50	1	from	from	ADP
brj-24742	50	2	google	google	PROPN
brj-24742	50	3	introduced	introduce	VERB
brj-24742	50	4	the	the	DET
brj-24742	50	5	vision	vision	NOUN
brj-24742	50	6	transformer	transformer	NOUN
brj-24742	50	7	(	(	PUNCT
brj-24742	50	8	vit	vit	NOUN
brj-24742	50	9	)	)	PUNCT
brj-24742	50	10	,	,	PUNCT
brj-24742	50	11	which	which	PRON
brj-24742	50	12	leveraged	leverage	VERB
brj-24742	50	13	self	self	NOUN
brj-24742	50	14	-	-	PUNCT
brj-24742	50	15	attention	attention	NOUN
brj-24742	50	16	to	to	PART
brj-24742	50	17	capture	capture	VERB
brj-24742	50	18	global	global	ADJ
brj-24742	50	19	image	image	NOUN
brj-24742	50	20	information	information	NOUN
brj-24742	50	21	and	and	CCONJ
brj-24742	50	22	demonstrated	demonstrate	VERB
brj-24742	50	23	exceptional	exceptional	ADJ
brj-24742	50	24	performance	performance	NOUN
brj-24742	50	25	in	in	ADP
brj-24742	50	26	computer	computer	NOUN
brj-24742	50	27	vision	vision	NOUN
brj-24742	50	28	classification	classification	NOUN
brj-24742	50	29	tasks	task	NOUN
brj-24742	50	30	.	.	PUNCT
brj-24742	51	1	peer	peer	NOUN
brj-24742	51	2	-	-	PUNCT
brj-24742	51	3	reviewed	review	VERB
brj-24742	51	4	article	article	NOUN
brj-24742	51	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24742	51	6	tian	tian	PROPN
brj-24742	51	7	et	et	PROPN
brj-24742	51	8	al	al	PROPN
brj-24742	51	9	.	.	PROPN
brj-24742	52	1	(	(	PUNCT
brj-24742	52	2	2026	2026	NUM
brj-24742	52	3	)	)	PUNCT
brj-24742	52	4	.	.	PUNCT
brj-24742	53	1	“	"	PUNCT
brj-24742	53	2	softwood	softwood	NOUN
brj-24742	53	3	classification	classification	NOUN
brj-24742	53	4	for	for	ADP
brj-24742	53	5	design	design	NOUN
brj-24742	53	6	,	,	PUNCT
brj-24742	53	7	”	"	PUNCT
brj-24742	53	8	bioresources	bioresource	NOUN
brj-24742	53	9	21(1	21(1	NUM
brj-24742	53	10	)	)	PUNCT
brj-24742	53	11	,	,	PUNCT
brj-24742	53	12	781	781	NUM
brj-24742	53	13	-	-	SYM
brj-24742	53	14	798	798	NUM
brj-24742	53	15	.	.	PUNCT
brj-24742	53	16	783	783	NUM
brj-24742	53	17	in	in	ADP
brj-24742	53	18	this	this	DET
brj-24742	53	19	study	study	NOUN
brj-24742	53	20	,	,	PUNCT
brj-24742	53	21	36	36	NUM
brj-24742	53	22	softwood	softwood	NOUN
brj-24742	53	23	specimens	specimen	NOUN
brj-24742	53	24	’	'	PUNCT
brj-24742	53	25	images	image	NOUN
brj-24742	53	26	suitable	suitable	ADJ
brj-24742	53	27	for	for	ADP
brj-24742	53	28	construction	construction	NOUN
brj-24742	53	29	and	and	CCONJ
brj-24742	53	30	decoration	decoration	NOUN
brj-24742	53	31	were	be	AUX
brj-24742	53	32	selected	select	VERB
brj-24742	53	33	from	from	ADP
brj-24742	53	34	112	112	NUM
brj-24742	53	35	wood	wood	NOUN
brj-24742	53	36	specimens	specimen	NOUN
brj-24742	53	37	developed	develop	VERB
brj-24742	53	38	by	by	ADP
brj-24742	53	39	martin	martin	PROPN
brj-24742	53	40	et	et	PROPN
brj-24742	53	41	al	al	PROPN
brj-24742	53	42	.	.	PROPN
brj-24742	54	1	(	(	PUNCT
brj-24742	54	2	2023	2023	NUM
brj-24742	54	3	)	)	PUNCT
brj-24742	54	4	as	as	ADP
brj-24742	54	5	the	the	DET
brj-24742	54	6	research	research	NOUN
brj-24742	54	7	objects	object	NOUN
brj-24742	54	8	.	.	PUNCT
brj-24742	55	1	based	base	VERB
brj-24742	55	2	on	on	ADP
brj-24742	55	3	the	the	DET
brj-24742	55	4	transformer	transformer	ADJ
brj-24742	55	5	architecture	architecture	NOUN
brj-24742	55	6	model	model	NOUN
brj-24742	55	7	,	,	PUNCT
brj-24742	55	8	with	with	ADP
brj-24742	55	9	its	its	PRON
brj-24742	55	10	multi	multi	ADJ
brj-24742	55	11	-	-	ADJ
brj-24742	55	12	scale	scale	ADJ
brj-24742	55	13	feature	feature	NOUN
brj-24742	55	14	fusion	fusion	NOUN
brj-24742	55	15	and	and	CCONJ
brj-24742	55	16	attention	attention	NOUN
brj-24742	55	17	mechanism	mechanism	NOUN
brj-24742	55	18	,	,	PUNCT
brj-24742	55	19	it	it	PRON
brj-24742	55	20	overcomes	overcome	VERB
brj-24742	55	21	the	the	DET
brj-24742	55	22	limitations	limitation	NOUN
brj-24742	55	23	of	of	ADP
brj-24742	55	24	the	the	DET
brj-24742	55	25	cnn	cnn	PROPN
brj-24742	55	26	method	method	NOUN
brj-24742	55	27	in	in	ADP
brj-24742	55	28	capturing	capture	VERB
brj-24742	55	29	subtle	subtle	ADJ
brj-24742	55	30	discriminative	discriminative	NOUN
brj-24742	55	31	features	feature	NOUN
brj-24742	55	32	,	,	PUNCT
brj-24742	55	33	achieving	achieve	VERB
brj-24742	55	34	a	a	DET
brj-24742	55	35	high	high	ADJ
brj-24742	55	36	classification	classification	NOUN
brj-24742	55	37	accuracy	accuracy	NOUN
brj-24742	55	38	of	of	ADP
brj-24742	55	39	99.7	99.7	NUM
brj-24742	55	40	%	%	NOUN
brj-24742	55	41	.	.	PUNCT
brj-24742	56	1	contrast	contrast	NOUN
brj-24742	56	2	experiments	experiment	NOUN
brj-24742	56	3	were	be	AUX
brj-24742	56	4	conducted	conduct	VERB
brj-24742	56	5	using	use	VERB
brj-24742	56	6	11	11	NUM
brj-24742	56	7	classic	classic	ADJ
brj-24742	56	8	models	model	NOUN
brj-24742	56	9	from	from	ADP
brj-24742	56	10	recent	recent	ADJ
brj-24742	56	11	years	year	NOUN
brj-24742	56	12	,	,	PUNCT
brj-24742	56	13	aiming	aim	VERB
brj-24742	56	14	to	to	PART
brj-24742	56	15	select	select	VERB
brj-24742	56	16	the	the	DET
brj-24742	56	17	most	most	ADV
brj-24742	56	18	scientific	scientific	ADJ
brj-24742	56	19	classification	classification	NOUN
brj-24742	56	20	model	model	NOUN
brj-24742	56	21	for	for	ADP
brj-24742	56	22	determining	determine	VERB
brj-24742	56	23	the	the	DET
brj-24742	56	24	type	type	NOUN
brj-24742	56	25	of	of	ADP
brj-24742	56	26	softwood	softwood	NOUN
brj-24742	56	27	,	,	PUNCT
brj-24742	56	28	providing	provide	VERB
brj-24742	56	29	a	a	DET
brj-24742	56	30	reliable	reliable	ADJ
brj-24742	56	31	method	method	NOUN
brj-24742	56	32	for	for	ADP
brj-24742	56	33	the	the	DET
brj-24742	56	34	accurate	accurate	ADJ
brj-24742	56	35	application	application	NOUN
brj-24742	56	36	of	of	ADP
brj-24742	56	37	softwood	softwood	NOUN
brj-24742	56	38	species	specie	NOUN
brj-24742	56	39	in	in	ADP
brj-24742	56	40	construction	construction	NOUN
brj-24742	56	41	and	and	CCONJ
brj-24742	56	42	decoration	decoration	NOUN
brj-24742	56	43	.	.	PUNCT
brj-24742	57	1	experimental	experimental	ADJ
brj-24742	57	2	materials	material	NOUN
brj-24742	57	3	the	the	DET
brj-24742	57	4	classification	classification	NOUN
brj-24742	57	5	of	of	ADP
brj-24742	57	6	wood	wood	NOUN
brj-24742	57	7	species	specie	NOUN
brj-24742	57	8	is	be	AUX
brj-24742	57	9	critically	critically	ADV
brj-24742	57	10	important	important	ADJ
brj-24742	57	11	for	for	ADP
brj-24742	57	12	both	both	CCONJ
brj-24742	57	13	architectural	architectural	ADJ
brj-24742	57	14	construction	construction	NOUN
brj-24742	57	15	and	and	CCONJ
brj-24742	57	16	furniture	furniture	NOUN
brj-24742	57	17	manufacturing	manufacturing	NOUN
brj-24742	57	18	,	,	PUNCT
brj-24742	57	19	as	as	SCONJ
brj-24742	57	20	different	different	ADJ
brj-24742	57	21	species	specie	NOUN
brj-24742	57	22	possess	possess	VERB
brj-24742	57	23	distinct	distinct	ADJ
brj-24742	57	24	material	material	NOUN
brj-24742	57	25	properties	property	NOUN
brj-24742	57	26	that	that	PRON
brj-24742	57	27	necessitate	necessitate	ADJ
brj-24742	57	28	selection	selection	NOUN
brj-24742	57	29	based	base	VERB
brj-24742	57	30	on	on	ADP
brj-24742	57	31	specific	specific	ADJ
brj-24742	57	32	applications	application	NOUN
brj-24742	57	33	.	.	PUNCT
brj-24742	58	1	compared	compare	VERB
brj-24742	58	2	to	to	ADP
brj-24742	58	3	hardwood	hardwood	NOUN
brj-24742	58	4	,	,	PUNCT
brj-24742	58	5	softwood	softwood	NOUN
brj-24742	58	6	demonstrates	demonstrate	VERB
brj-24742	58	7	superior	superior	ADJ
brj-24742	58	8	characteristics	characteristic	NOUN
brj-24742	58	9	as	as	ADP
brj-24742	58	10	raw	raw	ADJ
brj-24742	58	11	material	material	NOUN
brj-24742	58	12	for	for	ADP
brj-24742	58	13	manufacturing	manufacture	VERB
brj-24742	58	14	wooden	wooden	ADJ
brj-24742	58	15	structural	structural	ADJ
brj-24742	58	16	building	building	NOUN
brj-24742	58	17	components	component	NOUN
brj-24742	58	18	,	,	PUNCT
brj-24742	58	19	including	include	VERB
brj-24742	58	20	rapid	rapid	ADJ
brj-24742	58	21	growth	growth	NOUN
brj-24742	58	22	rate	rate	NOUN
brj-24742	58	23	,	,	PUNCT
brj-24742	58	24	ease	ease	NOUN
brj-24742	58	25	of	of	ADP
brj-24742	58	26	processing	processing	NOUN
brj-24742	58	27	,	,	PUNCT
brj-24742	58	28	relatively	relatively	ADV
brj-24742	58	29	low	low	ADJ
brj-24742	58	30	density	density	NOUN
brj-24742	58	31	yet	yet	CCONJ
brj-24742	58	32	high	high	ADJ
brj-24742	58	33	strength	strength	NOUN
brj-24742	58	34	,	,	PUNCT
brj-24742	58	35	as	as	ADV
brj-24742	58	36	well	well	ADV
brj-24742	58	37	as	as	ADP
brj-24742	58	38	excellent	excellent	ADJ
brj-24742	58	39	thermal	thermal	ADJ
brj-24742	58	40	and	and	CCONJ
brj-24742	58	41	acoustic	acoustic	ADJ
brj-24742	58	42	insulation	insulation	NOUN
brj-24742	58	43	properties	property	NOUN
brj-24742	58	44	.	.	PUNCT
brj-24742	59	1	this	this	DET
brj-24742	59	2	study	study	NOUN
brj-24742	59	3	therefore	therefore	ADV
brj-24742	59	4	focuses	focus	VERB
brj-24742	59	5	on	on	ADP
brj-24742	59	6	36	36	NUM
brj-24742	59	7	softwood	softwood	NOUN
brj-24742	59	8	species	specie	NOUN
brj-24742	59	9	can	can	AUX
brj-24742	59	10	be	be	AUX
brj-24742	59	11	used	use	VERB
brj-24742	59	12	in	in	ADP
brj-24742	59	13	construction	construction	NOUN
brj-24742	59	14	and	and	CCONJ
brj-24742	59	15	interior	interior	ADJ
brj-24742	59	16	decoration	decoration	NOUN
brj-24742	59	17	as	as	SCONJ
brj-24742	59	18	experimental	experimental	ADJ
brj-24742	59	19	materials	material	NOUN
brj-24742	59	20	to	to	PART
brj-24742	59	21	investigate	investigate	VERB
brj-24742	59	22	species	species	NOUN
brj-24742	59	23	identification	identification	NOUN
brj-24742	59	24	methods	method	NOUN
brj-24742	59	25	.	.	PUNCT
brj-24742	60	1	microscopic	microscopic	ADJ
brj-24742	60	2	examination	examination	NOUN
brj-24742	60	3	of	of	ADP
brj-24742	60	4	softwood	softwood	NOUN
brj-24742	60	5	structures	structure	NOUN
brj-24742	60	6	reveals	reveal	VERB
brj-24742	60	7	the	the	DET
brj-24742	60	8	presence	presence	NOUN
brj-24742	60	9	of	of	ADP
brj-24742	60	10	pores	pore	NOUN
brj-24742	60	11	,	,	PUNCT
brj-24742	60	12	rays	ray	NOUN
brj-24742	60	13	,	,	PUNCT
brj-24742	60	14	and	and	CCONJ
brj-24742	60	15	annual	annual	ADJ
brj-24742	60	16	rings	ring	NOUN
brj-24742	60	17	in	in	ADP
brj-24742	60	18	transverse	transverse	NOUN
brj-24742	60	19	sections	section	NOUN
brj-24742	60	20	.	.	PUNCT
brj-24742	61	1	although	although	SCONJ
brj-24742	61	2	these	these	DET
brj-24742	61	3	anatomical	anatomical	ADJ
brj-24742	61	4	features	feature	NOUN
brj-24742	61	5	exhibit	exhibit	VERB
brj-24742	61	6	high	high	ADJ
brj-24742	61	7	similarity	similarity	NOUN
brj-24742	61	8	across	across	ADP
brj-24742	61	9	different	different	ADJ
brj-24742	61	10	species	specie	NOUN
brj-24742	61	11	,	,	PUNCT
brj-24742	61	12	subtle	subtle	ADJ
brj-24742	61	13	differences	difference	NOUN
brj-24742	61	14	exist	exist	VERB
brj-24742	61	15	in	in	ADP
brj-24742	61	16	pore	pore	ADJ
brj-24742	61	17	diameter	diameter	NOUN
brj-24742	61	18	,	,	PUNCT
brj-24742	61	19	cell	cell	NOUN
brj-24742	61	20	wall	wall	NOUN
brj-24742	61	21	thickness	thickness	PROPN
brj-24742	61	22	,	,	PUNCT
brj-24742	61	23	ray	ray	NOUN
brj-24742	61	24	distribution	distribution	NOUN
brj-24742	61	25	density	density	NOUN
brj-24742	61	26	,	,	PUNCT
brj-24742	61	27	and	and	CCONJ
brj-24742	61	28	resin	resin	NOUN
brj-24742	61	29	canal	canal	NOUN
brj-24742	61	30	characteristics	characteristic	NOUN
brj-24742	61	31	all	all	PRON
brj-24742	61	32	of	of	ADP
brj-24742	61	33	which	which	PRON
brj-24742	61	34	constitute	constitute	VERB
brj-24742	61	35	critical	critical	ADJ
brj-24742	61	36	parameters	parameter	NOUN
brj-24742	61	37	for	for	ADP
brj-24742	61	38	traditional	traditional	ADJ
brj-24742	61	39	wood	wood	NOUN
brj-24742	61	40	species	species	NOUN
brj-24742	61	41	identification	identification	NOUN
brj-24742	61	42	(	(	PUNCT
brj-24742	61	43	phillips	phillip	NOUN
brj-24742	61	44	2008	2008	NUM
brj-24742	61	45	)	)	PUNCT
brj-24742	61	46	.	.	PUNCT
brj-24742	62	1	figure	figure	VERB
brj-24742	62	2	1	1	NUM
brj-24742	62	3	presents	present	VERB
brj-24742	62	4	the	the	DET
brj-24742	62	5	micrographs	micrograph	NOUN
brj-24742	62	6	of	of	ADP
brj-24742	62	7	transverse	transverse	NOUN
brj-24742	62	8	sections	section	NOUN
brj-24742	62	9	from	from	ADP
brj-24742	62	10	the	the	DET
brj-24742	62	11	36	36	NUM
brj-24742	62	12	investigated	investigate	VERB
brj-24742	62	13	wood	wood	NOUN
brj-24742	62	14	species	specie	NOUN
brj-24742	62	15	.	.	PUNCT
brj-24742	63	1	fig	fig	NOUN
brj-24742	63	2	.	.	PUNCT
brj-24742	64	1	1	1	X
brj-24742	64	2	.	.	X
brj-24742	64	3	the	the	DET
brj-24742	64	4	transverse	transverse	NOUN
brj-24742	64	5	section	section	NOUN
brj-24742	64	6	of	of	ADP
brj-24742	64	7	36	36	NUM
brj-24742	64	8	softwood	softwood	NOUN
brj-24742	64	9	species	specie	NOUN
brj-24742	64	10	peer	peer	NOUN
brj-24742	64	11	-	-	PUNCT
brj-24742	64	12	reviewed	review	VERB
brj-24742	64	13	article	article	NOUN
brj-24742	64	14	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24742	64	15	tian	tian	PROPN
brj-24742	64	16	et	et	PROPN
brj-24742	64	17	al	al	PROPN
brj-24742	64	18	.	.	PROPN
brj-24742	65	1	(	(	PUNCT
brj-24742	65	2	2026	2026	NUM
brj-24742	65	3	)	)	PUNCT
brj-24742	65	4	.	.	PUNCT
brj-24742	66	1	“	"	PUNCT
brj-24742	66	2	softwood	softwood	NOUN
brj-24742	66	3	classification	classification	NOUN
brj-24742	66	4	for	for	ADP
brj-24742	66	5	design	design	NOUN
brj-24742	66	6	,	,	PUNCT
brj-24742	66	7	”	"	PUNCT
brj-24742	66	8	bioresources	bioresource	NOUN
brj-24742	66	9	21(1	21(1	NUM
brj-24742	66	10	)	)	PUNCT
brj-24742	66	11	,	,	PUNCT
brj-24742	66	12	781	781	NUM
brj-24742	66	13	-	-	SYM
brj-24742	66	14	798	798	NUM
brj-24742	66	15	.	.	PUNCT
brj-24742	67	1	784	784	NUM
brj-24742	67	2	table	table	NOUN
brj-24742	67	3	1	1	NUM
brj-24742	67	4	.	.	PUNCT
brj-24742	67	5	properties	property	NOUN
brj-24742	67	6	and	and	CCONJ
brj-24742	67	7	uses	use	NOUN
brj-24742	67	8	of	of	ADP
brj-24742	67	9	36	36	NUM
brj-24742	67	10	kinds	kind	NOUN
brj-24742	67	11	of	of	ADP
brj-24742	67	12	softwood	softwood	NOUN
brj-24742	67	13	no	no	PROPN
brj-24742	67	14	.	.	PUNCT
brj-24742	68	1	species	specie	NOUN
brj-24742	68	2	timber	timber	NOUN
brj-24742	68	3	property	property	NOUN
brj-24742	68	4	buildings	building	NOUN
brj-24742	68	5	applications	application	NOUN
brj-24742	68	6	1	1	NUM
brj-24742	68	7	agathis	agathis	PROPN
brj-24742	68	8	beccarii	beccarii	VERB
brj-24742	68	9	low	low	ADV
brj-24742	68	10	to	to	ADP
brj-24742	68	11	moderate	moderate	ADJ
brj-24742	68	12	density	density	NOUN
brj-24742	68	13	,	,	PUNCT
brj-24742	68	14	not	not	PART
brj-24742	68	15	exceptionally	exceptionally	ADV
brj-24742	68	16	strong	strong	ADJ
brj-24742	68	17	in	in	ADP
brj-24742	68	18	strength	strength	NOUN
brj-24742	68	19	joinery	joinery	NOUN
brj-24742	68	20	,	,	PUNCT
brj-24742	68	21	paneling	paneling	NOUN
brj-24742	68	22	,	,	PUNCT
brj-24742	68	23	lightweight	lightweight	ADJ
brj-24742	68	24	frame	frame	NOUN
brj-24742	68	25	2	2	NUM
brj-24742	68	26	araucaria	araucaria	PROPN
brj-24742	68	27	angustifolia	angustifolia	PROPN
brj-24742	68	28	moderate	moderate	ADJ
brj-24742	68	29	density	density	NOUN
brj-24742	68	30	,	,	PUNCT
brj-24742	68	31	heartwood	heartwood	PROPN
brj-24742	68	32	nondurable	nondurable	ADJ
brj-24742	68	33	stair	stair	NOUN
brj-24742	68	34	treads	tread	NOUN
brj-24742	68	35	,	,	PUNCT
brj-24742	68	36	plywood	plywood	NOUN
brj-24742	68	37	,	,	PUNCT
brj-24742	68	38	interior	interior	ADJ
brj-24742	68	39	trim	trim	NOUN
brj-24742	68	40	,	,	PUNCT
brj-24742	68	41	joinery	joinery	NOUN
brj-24742	68	42	3	3	NUM
brj-24742	68	43	cephalotaxus	cephalotaxus	VERB
brj-24742	68	44	drupacea	drupacea	PROPN
brj-24742	68	45	tough	tough	ADJ
brj-24742	68	46	and	and	CCONJ
brj-24742	68	47	resilient	resilient	ADJ
brj-24742	68	48	,	,	PUNCT
brj-24742	68	49	corrosion	corrosion	NOUN
brj-24742	68	50	-	-	PUNCT
brj-24742	68	51	resistant	resistant	ADJ
brj-24742	68	52	ornamental	ornamental	NOUN
brj-24742	68	53	in	in	ADP
brj-24742	68	54	architectural	architectural	ADJ
brj-24742	68	55	and	and	CCONJ
brj-24742	68	56	garden	garden	NOUN
brj-24742	68	57	design	design	NOUN
brj-24742	68	58	;	;	PUNCT
brj-24742	68	59	hedge	hedge	NOUN
brj-24742	68	60	4	4	NUM
brj-24742	68	61	cephalotaxus	cephalotaxus	NOUN
brj-24742	68	62	harringtonia	harringtonia	NOUN
brj-24742	68	63	hard	hard	ADV
brj-24742	68	64	,	,	PUNCT
brj-24742	68	65	moderate	moderate	ADJ
brj-24742	68	66	strength	strength	NOUN
brj-24742	68	67	and	and	CCONJ
brj-24742	68	68	durability	durability	NOUN
brj-24742	68	69	ornamental	ornamental	NOUN
brj-24742	68	70	in	in	ADP
brj-24742	68	71	architectural	architectural	ADJ
brj-24742	68	72	and	and	CCONJ
brj-24742	68	73	garden	garden	NOUN
brj-24742	68	74	design	design	NOUN
brj-24742	68	75	;	;	PUNCT
brj-24742	68	76	decorative	decorative	ADJ
brj-24742	68	77	strips	strip	NOUN
brj-24742	68	78	5	5	NUM
brj-24742	68	79	torreya	torreya	NOUN
brj-24742	68	80	nucifera	nucifera	PROPN
brj-24742	68	81	high	high	ADJ
brj-24742	68	82	density	density	NOUN
brj-24742	68	83	,	,	PUNCT
brj-24742	68	84	hard	hard	ADJ
brj-24742	68	85	,	,	PUNCT
brj-24742	68	86	resistant	resistant	ADJ
brj-24742	68	87	to	to	ADP
brj-24742	68	88	corrosion	corrosion	VERB
brj-24742	68	89	ancient	ancient	ADJ
brj-24742	68	90	architectural	architectural	ADJ
brj-24742	68	91	maintenance	maintenance	NOUN
brj-24742	68	92	6	6	NUM
brj-24742	68	93	calocedrus	calocedrus	NOUN
brj-24742	68	94	decurrens	decurren	NOUN
brj-24742	68	95	moderate	moderate	ADJ
brj-24742	68	96	hardness	hardness	NOUN
brj-24742	68	97	,	,	PUNCT
brj-24742	68	98	soft	soft	ADJ
brj-24742	68	99	,	,	PUNCT
brj-24742	68	100	lightweight	lightweight	ADJ
brj-24742	68	101	,	,	PUNCT
brj-24742	68	102	resistant	resistant	ADJ
brj-24742	68	103	to	to	PART
brj-24742	68	104	decay	decay	VERB
brj-24742	68	105	and	and	CCONJ
brj-24742	68	106	insects	insect	NOUN
brj-24742	68	107	exterior	exterior	ADJ
brj-24742	68	108	construction	construction	NOUN
brj-24742	68	109	,	,	PUNCT
brj-24742	68	110	fencing	fencing	NOUN
brj-24742	68	111	,	,	PUNCT
brj-24742	68	112	interior	interior	ADJ
brj-24742	68	113	and	and	CCONJ
brj-24742	68	114	exterior	exterior	ADJ
brj-24742	68	115	siding	side	VERB
brj-24742	68	116	7	7	NUM
brj-24742	68	117	chamaecyparis	chamaecyparis	NOUN
brj-24742	68	118	formosensis	formosensis	NOUN
brj-24742	68	119	moderate	moderate	ADJ
brj-24742	68	120	to	to	ADP
brj-24742	68	121	high	high	ADJ
brj-24742	68	122	range	range	NOUN
brj-24742	68	123	density	density	NOUN
brj-24742	68	124	,	,	PUNCT
brj-24742	68	125	highly	highly	ADV
brj-24742	68	126	durability	durability	NOUN
brj-24742	68	127	of	of	ADP
brj-24742	68	128	resisting	resist	VERB
brj-24742	68	129	to	to	ADP
brj-24742	68	130	decay	decay	NOUN
brj-24742	68	131	and	and	CCONJ
brj-24742	68	132	insects	insect	NOUN
brj-24742	68	133	temples	temple	NOUN
brj-24742	68	134	;	;	PUNCT
brj-24742	68	135	door	door	NOUN
brj-24742	68	136	,	,	PUNCT
brj-24742	68	137	window	window	NOUN
brj-24742	68	138	frame	frame	NOUN
brj-24742	68	139	8	8	NUM
brj-24742	68	140	chamaecyparis	chamaecyparis	NOUN
brj-24742	68	141	pisifera	pisifera	NOUN
brj-24742	68	142	moderately	moderately	ADV
brj-24742	68	143	dense	dense	ADJ
brj-24742	68	144	,	,	PUNCT
brj-24742	68	145	decay	decay	NOUN
brj-24742	68	146	and	and	CCONJ
brj-24742	68	147	moisture	moisture	NOUN
brj-24742	68	148	resistance	resistance	NOUN
brj-24742	68	149	palace	palace	NOUN
brj-24742	68	150	,	,	PUNCT
brj-24742	68	151	temples	temple	NOUN
brj-24742	68	152	;	;	PUNCT
brj-24742	68	153	joinery	joinery	NOUN
brj-24742	68	154	9	9	NUM
brj-24742	68	155	cupressus	cupressus	NOUN
brj-24742	68	156	arizonica	arizonica	ADP
brj-24742	68	157	medium	medium	ADJ
brj-24742	68	158	density	density	NOUN
brj-24742	68	159	and	and	CCONJ
brj-24742	68	160	strength	strength	NOUN
brj-24742	68	161	,	,	PUNCT
brj-24742	68	162	resilient	resilient	ADJ
brj-24742	68	163	,	,	PUNCT
brj-24742	68	164	resistant	resistant	ADJ
brj-24742	68	165	to	to	PART
brj-24742	68	166	decay	decay	VERB
brj-24742	68	167	fence	fence	NOUN
brj-24742	68	168	posts	post	NOUN
brj-24742	68	169	,	,	PUNCT
brj-24742	68	170	sashes	sash	NOUN
brj-24742	68	171	,	,	PUNCT
brj-24742	68	172	doors	door	NOUN
brj-24742	68	173	,	,	PUNCT
brj-24742	68	174	blinds	blind	VERB
brj-24742	68	175	10	10	NUM
brj-24742	68	176	cupressus	cupressus	NOUN
brj-24742	68	177	lindleyi	lindleyi	VERB
brj-24742	68	178	medium	medium	ADJ
brj-24742	68	179	density	density	NOUN
brj-24742	68	180	,	,	PUNCT
brj-24742	68	181	resistant	resistant	ADJ
brj-24742	68	182	to	to	PART
brj-24742	68	183	moisture	moisture	VERB
brj-24742	68	184	frame	frame	NOUN
brj-24742	68	185	,	,	PUNCT
brj-24742	68	186	general	general	ADJ
brj-24742	68	187	purpose	purpose	NOUN
brj-24742	68	188	in	in	ADP
brj-24742	68	189	constructions	construction	NOUN
brj-24742	68	190	11	11	NUM
brj-24742	68	191	fitzroya	fitzroya	ADJ
brj-24742	68	192	cupressoides	cupressoide	NOUN
brj-24742	68	193	strong	strong	ADJ
brj-24742	68	194	,	,	PUNCT
brj-24742	68	195	moderately	moderately	ADV
brj-24742	68	196	durable	durable	ADJ
brj-24742	68	197	and	and	CCONJ
brj-24742	68	198	resistant	resistant	ADJ
brj-24742	68	199	to	to	PART
brj-24742	68	200	decay	decay	VERB
brj-24742	68	201	interior	interior	ADJ
brj-24742	68	202	trim	trim	NOUN
brj-24742	68	203	,	,	PUNCT
brj-24742	68	204	flooring	flooring	NOUN
brj-24742	68	205	,	,	PUNCT
brj-24742	68	206	decking	decking	NOUN
brj-24742	68	207	,	,	PUNCT
brj-24742	68	208	furniture	furniture	NOUN
brj-24742	68	209	,	,	PUNCT
brj-24742	68	210	joinery	joinery	NOUN
brj-24742	68	211	12	12	NUM
brj-24742	68	212	larix	larix	NOUN
brj-24742	68	213	laricina	laricina	PROPN
brj-24742	68	214	medium	medium	ADJ
brj-24742	68	215	density	density	NOUN
brj-24742	68	216	,	,	PUNCT
brj-24742	68	217	resistance	resistance	NOUN
brj-24742	68	218	to	to	PART
brj-24742	68	219	decay	decay	NOUN
brj-24742	68	220	frame	frame	NOUN
brj-24742	68	221	,	,	PUNCT
brj-24742	68	222	general	general	ADJ
brj-24742	68	223	purpose	purpose	NOUN
brj-24742	68	224	in	in	ADP
brj-24742	68	225	construction	construction	NOUN
brj-24742	68	226	13	13	NUM
brj-24742	68	227	larix	larix	NOUN
brj-24742	68	228	leptolepis	leptolepi	VERB
brj-24742	68	229	moderate	moderate	ADJ
brj-24742	68	230	density	density	NOUN
brj-24742	68	231	and	and	CCONJ
brj-24742	68	232	strength	strength	NOUN
brj-24742	68	233	,	,	PUNCT
brj-24742	68	234	solid	solid	ADJ
brj-24742	68	235	,	,	PUNCT
brj-24742	68	236	resistance	resistance	NOUN
brj-24742	68	237	to	to	PART
brj-24742	68	238	decay	decay	VERB
brj-24742	68	239	and	and	CCONJ
brj-24742	68	240	pests	pest	NOUN
brj-24742	68	241	lumber	lumber	NOUN
brj-24742	68	242	,	,	PUNCT
brj-24742	68	243	material	material	NOUN
brj-24742	68	244	for	for	ADP
brj-24742	68	245	structural	structural	ADJ
brj-24742	68	246	panel	panel	NOUN
brj-24742	68	247	(	(	PUNCT
brj-24742	68	248	e.g.	e.g.	ADV
brj-24742	68	249	brett	brett	PROPN
brj-24742	68	250	stapel	stapel	PROPN
brj-24742	68	251	)	)	PUNCT
brj-24742	68	252	14	14	NUM
brj-24742	68	253	larix	larix	NOUN
brj-24742	68	254	sp	sp	PROPN
brj-24742	68	255	.	.	PROPN
brj-24742	68	256	high	high	ADJ
brj-24742	68	257	strength	strength	NOUN
brj-24742	68	258	,	,	PUNCT
brj-24742	68	259	tough	tough	ADJ
brj-24742	68	260	and	and	CCONJ
brj-24742	68	261	durable	durable	ADJ
brj-24742	68	262	frame	frame	NOUN
brj-24742	68	263	,	,	PUNCT
brj-24742	68	264	general	general	ADJ
brj-24742	68	265	purpose	purpose	NOUN
brj-24742	68	266	in	in	ADP
brj-24742	68	267	construction	construction	NOUN
brj-24742	68	268	15	15	NUM
brj-24742	68	269	tetraclinis	tetraclinis	NOUN
brj-24742	68	270	articulata	articulata	ADJ
brj-24742	68	271	medium	medium	ADJ
brj-24742	68	272	-	-	PUNCT
brj-24742	68	273	density	density	NOUN
brj-24742	68	274	,	,	PUNCT
brj-24742	68	275	good	good	ADJ
brj-24742	68	276	hardness	hardness	NOUN
brj-24742	68	277	,	,	PUNCT
brj-24742	68	278	durable	durable	ADJ
brj-24742	68	279	ancient	ancient	ADJ
brj-24742	68	280	buildings	building	NOUN
brj-24742	68	281	(	(	PUNCT
brj-24742	68	282	e.g.	e.g.	ADV
brj-24742	68	283	beams	beam	NOUN
brj-24742	68	284	,	,	PUNCT
brj-24742	68	285	rafters	rafter	NOUN
brj-24742	68	286	and	and	CCONJ
brj-24742	68	287	pillars	pillar	NOUN
brj-24742	68	288	)	)	PUNCT
brj-24742	68	289	16	16	NUM
brj-24742	68	290	widdringtonia	widdringtonia	NOUN
brj-24742	68	291	cupressoides	cupressoide	VERB
brj-24742	68	292	medium	medium	ADJ
brj-24742	68	293	-	-	PUNCT
brj-24742	68	294	low	low	ADJ
brj-24742	68	295	density	density	NOUN
brj-24742	68	296	,	,	PUNCT
brj-24742	68	297	resistant	resistant	ADJ
brj-24742	68	298	to	to	PART
brj-24742	68	299	decay	decay	VERB
brj-24742	68	300	building	building	NOUN
brj-24742	68	301	material	material	NOUN
brj-24742	68	302	theoretically	theoretically	ADV
brj-24742	68	303	,	,	PUNCT
brj-24742	68	304	but	but	CCONJ
brj-24742	68	305	now	now	ADV
brj-24742	68	306	has	have	AUX
brj-24742	68	307	been	be	AUX
brj-24742	68	308	protected	protect	VERB
brj-24742	68	309	17	17	NUM
brj-24742	68	310	abies	abie	NOUN
brj-24742	68	311	religiosa	religiosa	PROPN
brj-24742	68	312	soft	soft	ADJ
brj-24742	68	313	,	,	PUNCT
brj-24742	68	314	poor	poor	ADJ
brj-24742	68	315	durability	durability	NOUN
brj-24742	68	316	against	against	ADP
brj-24742	68	317	decay	decay	NOUN
brj-24742	68	318	and	and	CCONJ
brj-24742	68	319	insects	insect	NOUN
brj-24742	68	320	decorative	decorative	ADJ
brj-24742	68	321	items	item	NOUN
brj-24742	68	322	,	,	PUNCT
brj-24742	68	323	sheathing	sheathe	VERB
brj-24742	68	324	for	for	ADP
brj-24742	68	325	interiors	interior	NOUN
brj-24742	68	326	,	,	PUNCT
brj-24742	68	327	furniture	furniture	NOUN
brj-24742	68	328	18	18	NUM
brj-24742	68	329	abies	abie	NOUN
brj-24742	68	330	vejarii	vejarii	VERB
brj-24742	68	331	low	low	ADJ
brj-24742	68	332	hardness	hardness	NOUN
brj-24742	68	333	,	,	PUNCT
brj-24742	68	334	poor	poor	ADJ
brj-24742	68	335	resistance	resistance	NOUN
brj-24742	68	336	to	to	PART
brj-24742	68	337	decay	decay	VERB
brj-24742	68	338	and	and	CCONJ
brj-24742	68	339	insect	insect	NOUN
brj-24742	68	340	attacks	attack	NOUN
brj-24742	68	341	building	build	VERB
brj-24742	68	342	material	material	NOUN
brj-24742	68	343	theoretically	theoretically	ADV
brj-24742	68	344	,	,	PUNCT
brj-24742	68	345	but	but	CCONJ
brj-24742	68	346	now	now	ADV
brj-24742	68	347	has	have	AUX
brj-24742	68	348	been	be	AUX
brj-24742	68	349	protected	protect	VERB
brj-24742	68	350	19	19	NUM
brj-24742	68	351	cedrus	cedrus	NOUN
brj-24742	68	352	atlantica	atlantica	NOUN
brj-24742	68	353	very	very	ADV
brj-24742	68	354	durable	durable	ADJ
brj-24742	68	355	,	,	PUNCT
brj-24742	68	356	resistance	resistance	NOUN
brj-24742	68	357	to	to	ADP
brj-24742	68	358	insects	insect	NOUN
brj-24742	68	359	joists	joist	NOUN
brj-24742	68	360	,	,	PUNCT
brj-24742	68	361	scaffolding	scaffolding	NOUN
brj-24742	68	362	,	,	PUNCT
brj-24742	68	363	decorative	decorative	ADJ
brj-24742	68	364	veneers	veneer	NOUN
brj-24742	68	365	,	,	PUNCT
brj-24742	68	366	furniture	furniture	NOUN
brj-24742	68	367	20	20	NUM
brj-24742	68	368	cedrus	cedrus	NOUN
brj-24742	68	369	libani	libani	PROPN
brj-24742	68	370	lightweight	lightweight	NOUN
brj-24742	68	371	,	,	PUNCT
brj-24742	68	372	resistant	resistant	ADJ
brj-24742	68	373	to	to	PART
brj-24742	68	374	decay	decay	VERB
brj-24742	68	375	and	and	CCONJ
brj-24742	68	376	insects	insect	NOUN
brj-24742	68	377	joinery	joinery	NOUN
brj-24742	68	378	,	,	PUNCT
brj-24742	68	379	ancient	ancient	ADJ
brj-24742	68	380	religious	religious	ADJ
brj-24742	68	381	buildings	building	NOUN
brj-24742	68	382	(	(	PUNCT
brj-24742	68	383	e.g.	e.g.	ADV
brj-24742	68	384	beams	beam	NOUN
brj-24742	68	385	,	,	PUNCT
brj-24742	68	386	columns	column	NOUN
brj-24742	68	387	)	)	PUNCT
brj-24742	68	388	21	21	NUM
brj-24742	68	389	cedrus	cedrus	PROPN
brj-24742	68	390	sp	sp	PROPN
brj-24742	68	391	.	.	PROPN
brj-24742	68	392	moderate	moderate	ADJ
brj-24742	68	393	density	density	NOUN
brj-24742	68	394	,	,	PUNCT
brj-24742	68	395	lightweight	lightweight	NOUN
brj-24742	68	396	,	,	PUNCT
brj-24742	68	397	resistance	resistance	NOUN
brj-24742	68	398	to	to	PART
brj-24742	68	399	decay	decay	VERB
brj-24742	68	400	and	and	CCONJ
brj-24742	68	401	insects	insect	NOUN
brj-24742	68	402	constructing	construct	VERB
brj-24742	68	403	raised	raise	VERB
brj-24742	68	404	beds	bed	NOUN
brj-24742	68	405	,	,	PUNCT
brj-24742	68	406	reinforcement	reinforcement	NOUN
brj-24742	68	407	material	material	NOUN
brj-24742	68	408	in	in	ADP
brj-24742	68	409	gypsum	gypsum	NOUN
brj-24742	68	410	boards	board	NOUN
brj-24742	68	411	22	22	NUM
brj-24742	68	412	keteleeria	keteleeria	PROPN
brj-24742	68	413	fortunei	fortunei	VERB
brj-24742	68	414	resistant	resistant	ADJ
brj-24742	68	415	to	to	ADP
brj-24742	68	416	water	water	NOUN
brj-24742	68	417	and	and	CCONJ
brj-24742	68	418	moisture	moisture	NOUN
brj-24742	68	419	,	,	PUNCT
brj-24742	68	420	moderate	moderate	ADJ
brj-24742	68	421	tensile	tensile	NOUN
brj-24742	68	422	and	and	CCONJ
brj-24742	68	423	compressive	compressive	ADJ
brj-24742	68	424	strength	strength	NOUN
brj-24742	68	425	general	general	ADJ
brj-24742	68	426	purpose	purpose	NOUN
brj-24742	68	427	in	in	ADP
brj-24742	68	428	theory	theory	NOUN
brj-24742	68	429	but	but	CCONJ
brj-24742	68	430	now	now	ADV
brj-24742	68	431	it	it	PRON
brj-24742	68	432	has	have	AUX
brj-24742	68	433	been	be	AUX
brj-24742	68	434	protected	protect	VERB
brj-24742	68	435	23	23	NUM
brj-24742	68	436	picea	picea	NOUN
brj-24742	68	437	abies	abie	NOUN
brj-24742	68	438	medium	medium	ADJ
brj-24742	68	439	density	density	NOUN
brj-24742	68	440	,	,	PUNCT
brj-24742	68	441	high	high	ADJ
brj-24742	68	442	strength	strength	NOUN
brj-24742	68	443	,	,	PUNCT
brj-24742	68	444	low	low	ADJ
brj-24742	68	445	to	to	ADP
brj-24742	68	446	medium	medium	ADJ
brj-24742	68	447	durability	durability	NOUN
brj-24742	68	448	lvl	lvl	NOUN
brj-24742	68	449	,	,	PUNCT
brj-24742	68	450	general	general	ADJ
brj-24742	68	451	purpose	purpose	NOUN
brj-24742	68	452	in	in	ADP
brj-24742	68	453	construction	construction	NOUN
brj-24742	68	454	24	24	NUM
brj-24742	68	455	pinus	pinus	NOUN
brj-24742	68	456	arizonica	arizonica	ADP
brj-24742	68	457	medium	medium	ADJ
brj-24742	68	458	texture	texture	NOUN
brj-24742	68	459	,	,	PUNCT
brj-24742	68	460	good	good	ADJ
brj-24742	68	461	strength	strength	NOUN
brj-24742	68	462	and	and	CCONJ
brj-24742	68	463	durability	durability	NOUN
brj-24742	68	464	particleboard	particleboard	NOUN
brj-24742	68	465	,	,	PUNCT
brj-24742	68	466	rafter	rafter	NOUN
brj-24742	68	467	,	,	PUNCT
brj-24742	68	468	joists	joist	NOUN
brj-24742	68	469	,	,	PUNCT
brj-24742	68	470	handicrafts	handicraft	NOUN
brj-24742	68	471	25	25	NUM
brj-24742	68	472	pinus	pinus	NOUN
brj-24742	68	473	caribaea	caribaea	NOUN
brj-24742	68	474	high	high	ADJ
brj-24742	68	475	strength	strength	NOUN
brj-24742	68	476	,	,	PUNCT
brj-24742	68	477	good	good	ADJ
brj-24742	68	478	load	load	NOUN
brj-24742	68	479	-	-	PUNCT
brj-24742	68	480	bearing	bear	VERB
brj-24742	68	481	capacity	capacity	NOUN
brj-24742	68	482	,	,	PUNCT
brj-24742	68	483	durable	durable	ADJ
brj-24742	68	484	building	building	NOUN
brj-24742	68	485	frame	frame	NOUN
brj-24742	68	486	structure	structure	NOUN
brj-24742	68	487	,	,	PUNCT
brj-24742	68	488	floors	floor	NOUN
brj-24742	68	489	,	,	PUNCT
brj-24742	68	490	doors	door	NOUN
brj-24742	68	491	,	,	PUNCT
brj-24742	68	492	plywood	plywood	NOUN
brj-24742	68	493	,	,	PUNCT
brj-24742	68	494	furniture	furniture	NOUN
brj-24742	68	495	26	26	NUM
brj-24742	68	496	pinus	pinus	NOUN
brj-24742	68	497	elliottii	elliottii	VERB
brj-24742	68	498	moderate	moderate	ADJ
brj-24742	68	499	density	density	NOUN
brj-24742	68	500	,	,	PUNCT
brj-24742	68	501	good	good	ADJ
brj-24742	68	502	strength	strength	NOUN
brj-24742	68	503	and	and	CCONJ
brj-24742	68	504	durability	durability	NOUN
brj-24742	68	505	building	building	NOUN
brj-24742	68	506	frame	frame	NOUN
brj-24742	68	507	structure	structure	NOUN
brj-24742	68	508	,	,	PUNCT
brj-24742	68	509	particleboard	particleboard	NOUN
brj-24742	68	510	27	27	NUM
brj-24742	68	511	pinus	pinus	NOUN
brj-24742	68	512	greggii	greggii	NOUN
brj-24742	68	513	low	low	ADJ
brj-24742	68	514	to	to	ADP
brj-24742	68	515	moderate	moderate	ADJ
brj-24742	68	516	density	density	NOUN
brj-24742	68	517	,	,	PUNCT
brj-24742	68	518	low	low	ADJ
brj-24742	68	519	durability	durability	NOUN
brj-24742	68	520	construction	construction	NOUN
brj-24742	68	521	and	and	CCONJ
brj-24742	68	522	fence	fence	NOUN
brj-24742	68	523	posts	post	NOUN
brj-24742	68	524	peer	peer	NOUN
brj-24742	68	525	-	-	PUNCT
brj-24742	68	526	reviewed	review	VERB
brj-24742	68	527	article	article	NOUN
brj-24742	68	528	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24742	69	1	tian	tian	PROPN
brj-24742	69	2	et	et	PROPN
brj-24742	69	3	al	al	PROPN
brj-24742	69	4	.	.	PROPN
brj-24742	70	1	(	(	PUNCT
brj-24742	70	2	2026	2026	NUM
brj-24742	70	3	)	)	PUNCT
brj-24742	70	4	.	.	PUNCT
brj-24742	71	1	“	"	PUNCT
brj-24742	71	2	softwood	softwood	NOUN
brj-24742	71	3	classification	classification	NOUN
brj-24742	71	4	for	for	ADP
brj-24742	71	5	design	design	NOUN
brj-24742	71	6	,	,	PUNCT
brj-24742	71	7	”	"	PUNCT
brj-24742	71	8	bioresources	bioresource	NOUN
brj-24742	71	9	21(1	21(1	NUM
brj-24742	71	10	)	)	PUNCT
brj-24742	71	11	,	,	PUNCT
brj-24742	71	12	781	781	NUM
brj-24742	71	13	-	-	SYM
brj-24742	71	14	798	798	NUM
brj-24742	71	15	.	.	PUNCT
brj-24742	72	1	785	785	NUM
brj-24742	72	2	no	no	NOUN
brj-24742	72	3	.	.	PUNCT
brj-24742	73	1	species	specie	NOUN
brj-24742	73	2	timber	timber	NOUN
brj-24742	73	3	property	property	NOUN
brj-24742	73	4	buildings	building	NOUN
brj-24742	73	5	applications	application	NOUN
brj-24742	73	6	28	28	NUM
brj-24742	73	7	pinus	pinus	NOUN
brj-24742	73	8	maximinoi	maximinoi	NOUN
brj-24742	73	9	moderately	moderately	ADV
brj-24742	73	10	heavy	heavy	ADJ
brj-24742	73	11	,	,	PUNCT
brj-24742	73	12	relatively	relatively	ADV
brj-24742	73	13	high	high	ADJ
brj-24742	73	14	density	density	NOUN
brj-24742	73	15	,	,	PUNCT
brj-24742	73	16	moderately	moderately	ADV
brj-24742	73	17	durable	durable	ADJ
brj-24742	73	18	frame	frame	NOUN
brj-24742	73	19	structure	structure	NOUN
brj-24742	73	20	,	,	PUNCT
brj-24742	73	21	joinery	joinery	NOUN
brj-24742	73	22	,	,	PUNCT
brj-24742	73	23	plywood	plywood	NOUN
brj-24742	73	24	,	,	PUNCT
brj-24742	73	25	general	general	ADJ
brj-24742	73	26	housing	housing	NOUN
brj-24742	73	27	components	component	NOUN
brj-24742	73	28	29	29	NUM
brj-24742	73	29	pinus	pinus	NOUN
brj-24742	73	30	taeda	taeda	PROPN
brj-24742	73	31	density	density	NOUN
brj-24742	73	32	varies	vary	VERB
brj-24742	73	33	with	with	ADP
brj-24742	73	34	tree	tree	NOUN
brj-24742	73	35	age	age	NOUN
brj-24742	73	36	,	,	PUNCT
brj-24742	73	37	moderate	moderate	ADJ
brj-24742	73	38	decay	decay	NOUN
brj-24742	73	39	resistance	resistance	NOUN
brj-24742	73	40	,	,	PUNCT
brj-24742	73	41	excellent	excellent	ADJ
brj-24742	73	42	hardness	hardness	ADJ
brj-24742	73	43	frame	frame	NOUN
brj-24742	73	44	,	,	PUNCT
brj-24742	73	45	general	general	ADJ
brj-24742	73	46	purpose	purpose	NOUN
brj-24742	73	47	in	in	ADP
brj-24742	73	48	construction	construction	NOUN
brj-24742	73	49	30	30	NUM
brj-24742	73	50	pseudotsuga	pseudotsuga	ADJ
brj-24742	73	51	macrolepsis	macrolepsis	NOUN
brj-24742	73	52	hard	hard	ADV
brj-24742	73	53	,	,	PUNCT
brj-24742	73	54	good	good	ADJ
brj-24742	73	55	workability	workability	NOUN
brj-24742	73	56	,	,	PUNCT
brj-24742	73	57	moderate	moderate	ADJ
brj-24742	73	58	resistance	resistance	NOUN
brj-24742	73	59	to	to	PART
brj-24742	73	60	decay	decay	VERB
brj-24742	73	61	general	general	ADJ
brj-24742	73	62	purpose	purpose	NOUN
brj-24742	73	63	theoretically	theoretically	ADV
brj-24742	73	64	,	,	PUNCT
brj-24742	73	65	but	but	CCONJ
brj-24742	73	66	now	now	ADV
brj-24742	73	67	listed	list	VERB
brj-24742	73	68	as	as	ADP
brj-24742	73	69	endangered	endanger	VERB
brj-24742	73	70	31	31	NUM
brj-24742	73	71	tsuga	tsuga	NOUN
brj-24742	73	72	canadensis	canadensis	NOUN
brj-24742	73	73	moderately	moderately	ADV
brj-24742	73	74	dense	dense	ADJ
brj-24742	73	75	,	,	PUNCT
brj-24742	73	76	poor	poor	ADJ
brj-24742	73	77	resistant	resistant	ADJ
brj-24742	73	78	to	to	PART
brj-24742	73	79	decay	decay	VERB
brj-24742	73	80	clt	clt	NOUN
brj-24742	73	81	,	,	PUNCT
brj-24742	73	82	plywood	plywood	NOUN
brj-24742	73	83	,	,	PUNCT
brj-24742	73	84	framing	framing	NOUN
brj-24742	73	85	,	,	PUNCT
brj-24742	73	86	etc	etc	X
brj-24742	73	87	.	.	X
brj-24742	73	88	32	32	NUM
brj-24742	73	89	tsuga	tsuga	PROPN
brj-24742	73	90	sp	sp	NOUN
brj-24742	73	91	.	.	PROPN
brj-24742	73	92	moderate	moderate	ADJ
brj-24742	73	93	density	density	PROPN
brj-24742	73	94	,	,	PUNCT
brj-24742	73	95	moderate	moderate	ADJ
brj-24742	73	96	compressive	compressive	ADJ
brj-24742	73	97	strength	strength	NOUN
brj-24742	73	98	,	,	PUNCT
brj-24742	73	99	low	low	ADJ
brj-24742	73	100	-	-	PUNCT
brj-24742	73	101	durable	durable	ADJ
brj-24742	73	102	for	for	ADP
brj-24742	73	103	decay	decay	NOUN
brj-24742	73	104	resistance	resistance	NOUN
brj-24742	73	105	lightweight	lightweight	ADJ
brj-24742	73	106	framing	framing	NOUN
brj-24742	73	107	,	,	PUNCT
brj-24742	73	108	plywood	plywood	NOUN
brj-24742	73	109	33	33	NUM
brj-24742	73	110	podocarpus	podocarpus	NOUN
brj-24742	73	111	lambertii	lambertii	VERB
brj-24742	73	112	moderate	moderate	ADJ
brj-24742	73	113	strength	strength	NOUN
brj-24742	73	114	,	,	PUNCT
brj-24742	73	115	relatively	relatively	ADV
brj-24742	73	116	hard	hard	ADJ
brj-24742	73	117	,	,	PUNCT
brj-24742	73	118	heartwood	heartwood	NOUN
brj-24742	73	119	not	not	PART
brj-24742	73	120	very	very	ADV
brj-24742	73	121	resistant	resistant	ADJ
brj-24742	73	122	to	to	PART
brj-24742	73	123	decay	decay	VERB
brj-24742	73	124	fence	fence	NOUN
brj-24742	73	125	posts	post	NOUN
brj-24742	73	126	,	,	PUNCT
brj-24742	73	127	joinery	joinery	NOUN
brj-24742	73	128	34	34	NUM
brj-24742	73	129	taxus	taxus	NOUN
brj-24742	73	130	baccata	baccata	VERB
brj-24742	73	131	high	high	ADJ
brj-24742	73	132	density	density	NOUN
brj-24742	73	133	,	,	PUNCT
brj-24742	73	134	strong	strong	ADJ
brj-24742	73	135	and	and	CCONJ
brj-24742	73	136	hard	hard	ADJ
brj-24742	73	137	,	,	PUNCT
brj-24742	73	138	resistance	resistance	NOUN
brj-24742	73	139	to	to	PART
brj-24742	73	140	decay	decay	VERB
brj-24742	73	141	and	and	CCONJ
brj-24742	73	142	insect	insect	VERB
brj-24742	73	143	architectural	architectural	ADJ
brj-24742	73	144	and	and	CCONJ
brj-24742	73	145	garden	garden	NOUN
brj-24742	73	146	design	design	NOUN
brj-24742	73	147	,	,	PUNCT
brj-24742	73	148	ancient	ancient	ADJ
brj-24742	73	149	buildings	building	NOUN
brj-24742	73	150	restoration	restoration	VERB
brj-24742	73	151	35	35	NUM
brj-24742	73	152	sequoia	sequoia	NOUN
brj-24742	73	153	sempervirens	semperviren	NOUN
brj-24742	73	154	moderately	moderately	ADV
brj-24742	73	155	hard	hard	ADV
brj-24742	73	156	,	,	PUNCT
brj-24742	73	157	low	low	ADJ
brj-24742	73	158	to	to	ADP
brj-24742	73	159	medium	medium	ADJ
brj-24742	73	160	density	density	NOUN
brj-24742	73	161	,	,	PUNCT
brj-24742	73	162	resistant	resistant	ADJ
brj-24742	73	163	to	to	PART
brj-24742	73	164	decay	decay	VERB
brj-24742	73	165	and	and	CCONJ
brj-24742	73	166	insect	insect	NOUN
brj-24742	73	167	trim	trim	VERB
brj-24742	73	168	,	,	PUNCT
brj-24742	73	169	veneer	veneer	NOUN
brj-24742	73	170	,	,	PUNCT
brj-24742	73	171	exterior	exterior	ADJ
brj-24742	73	172	furniture	furniture	NOUN
brj-24742	73	173	,	,	PUNCT
brj-24742	73	174	lumber	lumber	VERB
brj-24742	73	175	36	36	NUM
brj-24742	73	176	taxodium	taxodium	NOUN
brj-24742	73	177	distichum	distichum	NOUN
brj-24742	73	178	resistant	resistant	ADJ
brj-24742	73	179	to	to	PART
brj-24742	73	180	rot	rot	VERB
brj-24742	73	181	,	,	PUNCT
brj-24742	73	182	moderately	moderately	ADV
brj-24742	73	183	heavy	heavy	ADJ
brj-24742	73	184	,	,	PUNCT
brj-24742	73	185	moderately	moderately	ADV
brj-24742	73	186	strong	strong	ADJ
brj-24742	73	187	and	and	CCONJ
brj-24742	73	188	hard	hard	ADJ
brj-24742	73	189	.	.	PUNCT
brj-24742	74	1	heavy	heavy	ADJ
brj-24742	74	2	construction	construction	NOUN
brj-24742	74	3	,	,	PUNCT
brj-24742	74	4	siding	siding	NOUN
brj-24742	74	5	,	,	PUNCT
brj-24742	74	6	interior	interior	PROPN
brj-24742	74	7	tri	tri	VERB
brj-24742	74	8	the	the	DET
brj-24742	74	9	36	36	NUM
brj-24742	74	10	wood	wood	NOUN
brj-24742	74	11	species	specie	NOUN
brj-24742	74	12	can	can	AUX
brj-24742	74	13	be	be	AUX
brj-24742	74	14	classified	classify	VERB
brj-24742	74	15	into	into	ADP
brj-24742	74	16	22	22	NUM
brj-24742	74	17	genera	genera	NOUN
brj-24742	74	18	in	in	ADP
brj-24742	74	19	7	7	NUM
brj-24742	74	20	families	family	NOUN
brj-24742	74	21	,	,	PUNCT
brj-24742	74	22	with	with	ADP
brj-24742	74	23	their	their	PRON
brj-24742	74	24	material	material	NOUN
brj-24742	74	25	properties	property	NOUN
brj-24742	74	26	and	and	CCONJ
brj-24742	74	27	representative	representative	ADJ
brj-24742	74	28	applications	application	NOUN
brj-24742	74	29	in	in	ADP
brj-24742	74	30	construction	construction	NOUN
brj-24742	74	31	and	and	CCONJ
brj-24742	74	32	interior	interior	ADJ
brj-24742	74	33	decoration	decoration	NOUN
brj-24742	74	34	summarized	summarize	VERB
brj-24742	74	35	in	in	ADP
brj-24742	74	36	table	table	NOUN
brj-24742	74	37	1	1	NUM
brj-24742	74	38	.	.	PUNCT
brj-24742	75	1	araucariaceae	araucariaceae	PROPN
brj-24742	75	2	wood	wood	NOUN
brj-24742	75	3	exhibits	exhibit	VERB
brj-24742	75	4	moderate	moderate	ADJ
brj-24742	75	5	hardness	hardness	NOUN
brj-24742	75	6	,	,	PUNCT
brj-24742	75	7	typically	typically	ADV
brj-24742	75	8	featuring	feature	VERB
brj-24742	75	9	smooth	smooth	ADJ
brj-24742	75	10	surfaces	surface	NOUN
brj-24742	75	11	,	,	PUNCT
brj-24742	75	12	excellent	excellent	ADJ
brj-24742	75	13	adhesive	adhesive	ADJ
brj-24742	75	14	properties	property	NOUN
brj-24742	75	15	,	,	PUNCT
brj-24742	75	16	and	and	CCONJ
brj-24742	75	17	easy	easy	ADJ
brj-24742	75	18	rotary	rotary	NOUN
brj-24742	75	19	cutting	cutting	NOUN
brj-24742	75	20	,	,	PUNCT
brj-24742	75	21	making	make	VERB
brj-24742	75	22	the	the	DET
brj-24742	75	23	plantation	plantation	NOUN
brj-24742	75	24	timber	timber	NOUN
brj-24742	75	25	a	a	DET
brj-24742	75	26	suitable	suitable	ADJ
brj-24742	75	27	raw	raw	ADJ
brj-24742	75	28	material	material	NOUN
brj-24742	75	29	for	for	ADP
brj-24742	75	30	interior	interior	ADJ
brj-24742	75	31	decorative	decorative	ADJ
brj-24742	75	32	products	product	NOUN
brj-24742	75	33	such	such	ADJ
brj-24742	75	34	as	as	ADP
brj-24742	75	35	plywood	plywood	NOUN
brj-24742	75	36	.	.	PUNCT
brj-24742	76	1	cephalotaxaceae	cephalotaxaceae	PROPN
brj-24742	76	2	species	specie	NOUN
brj-24742	76	3	has	have	VERB
brj-24742	76	4	remarkable	remarkable	ADJ
brj-24742	76	5	density	density	NOUN
brj-24742	76	6	,	,	PUNCT
brj-24742	76	7	toughness	toughness	NOUN
brj-24742	76	8	,	,	PUNCT
brj-24742	76	9	and	and	CCONJ
brj-24742	76	10	elasticity	elasticity	NOUN
brj-24742	76	11	,	,	PUNCT
brj-24742	76	12	making	make	VERB
brj-24742	76	13	it	it	PRON
brj-24742	76	14	an	an	DET
brj-24742	76	15	ideal	ideal	ADJ
brj-24742	76	16	choice	choice	NOUN
brj-24742	76	17	for	for	ADP
brj-24742	76	18	load	load	NOUN
brj-24742	76	19	-	-	PUNCT
brj-24742	76	20	bearing	bear	VERB
brj-24742	76	21	components	component	NOUN
brj-24742	76	22	in	in	ADP
brj-24742	76	23	construction	construction	NOUN
brj-24742	76	24	.	.	PUNCT
brj-24742	77	1	but	but	CCONJ
brj-24742	77	2	due	due	ADP
brj-24742	77	3	to	to	ADP
brj-24742	77	4	resource	resource	NOUN
brj-24742	77	5	conservation	conservation	NOUN
brj-24742	77	6	,	,	PUNCT
brj-24742	77	7	it	it	PRON
brj-24742	77	8	is	be	AUX
brj-24742	77	9	confined	confine	VERB
brj-24742	77	10	to	to	ADP
brj-24742	77	11	the	the	DET
brj-24742	77	12	realm	realm	NOUN
brj-24742	77	13	of	of	ADP
brj-24742	77	14	architectural	architectural	ADJ
brj-24742	77	15	design	design	NOUN
brj-24742	77	16	,	,	PUNCT
brj-24742	77	17	serving	serve	VERB
brj-24742	77	18	as	as	ADP
brj-24742	77	19	decorative	decorative	ADJ
brj-24742	77	20	materials	material	NOUN
brj-24742	77	21	and	and	CCONJ
brj-24742	77	22	elements	element	NOUN
brj-24742	77	23	in	in	ADP
brj-24742	77	24	landscape	landscape	NOUN
brj-24742	77	25	design	design	NOUN
brj-24742	77	26	.	.	PUNCT
brj-24742	78	1	cupressaceae	cupressaceae	PROPN
brj-24742	78	2	timbers	timber	NOUN
brj-24742	78	3	are	be	AUX
brj-24742	78	4	valued	value	VERB
brj-24742	78	5	for	for	ADP
brj-24742	78	6	their	their	PRON
brj-24742	78	7	stable	stable	ADJ
brj-24742	78	8	,	,	PUNCT
brj-24742	78	9	aesthetically	aesthetically	ADV
brj-24742	78	10	pleasing	pleasing	ADJ
brj-24742	78	11	coloration	coloration	NOUN
brj-24742	78	12	and	and	CCONJ
brj-24742	78	13	durable	durable	ADJ
brj-24742	78	14	hardness	hardness	NOUN
brj-24742	78	15	and	and	CCONJ
brj-24742	78	16	moisture	moisture	NOUN
brj-24742	78	17	resistance	resistance	NOUN
brj-24742	78	18	,	,	PUNCT
brj-24742	78	19	commonly	commonly	ADV
brj-24742	78	20	employed	employ	VERB
brj-24742	78	21	in	in	ADP
brj-24742	78	22	traditional	traditional	ADJ
brj-24742	78	23	timberframed	timberframe	VERB
brj-24742	78	24	buildings	building	NOUN
brj-24742	78	25	,	,	PUNCT
brj-24742	78	26	serving	serve	VERB
brj-24742	78	27	as	as	ADP
brj-24742	78	28	load	load	NOUN
brj-24742	78	29	-	-	PUNCT
brj-24742	78	30	bearing	bear	VERB
brj-24742	78	31	components	component	NOUN
brj-24742	78	32	(	(	PUNCT
brj-24742	78	33	e.g.	e.g.	ADV
brj-24742	78	34	beams	beam	NOUN
brj-24742	78	35	and	and	CCONJ
brj-24742	78	36	columns	column	NOUN
brj-24742	78	37	)	)	PUNCT
brj-24742	78	38	and	and	CCONJ
brj-24742	78	39	interior	interior	ADJ
brj-24742	78	40	elements	element	NOUN
brj-24742	78	41	including	include	VERB
brj-24742	78	42	staircases	staircase	NOUN
brj-24742	78	43	,	,	PUNCT
brj-24742	78	44	windows	window	NOUN
brj-24742	78	45	and	and	CCONJ
brj-24742	78	46	panels	panel	NOUN
brj-24742	78	47	.	.	PUNCT
brj-24742	79	1	pinaceae	pinaceae	VERB
brj-24742	79	2	timbers	timber	NOUN
brj-24742	79	3	serve	serve	VERB
brj-24742	79	4	as	as	ADP
brj-24742	79	5	the	the	DET
brj-24742	79	6	preferred	preferred	ADJ
brj-24742	79	7	material	material	NOUN
brj-24742	79	8	in	in	ADP
brj-24742	79	9	the	the	DET
brj-24742	79	10	construction	construction	NOUN
brj-24742	79	11	industry	industry	NOUN
brj-24742	79	12	.	.	PUNCT
brj-24742	80	1	they	they	PRON
brj-24742	80	2	have	have	AUX
brj-24742	80	3	been	be	AUX
brj-24742	80	4	widely	widely	ADV
brj-24742	80	5	used	use	VERB
brj-24742	80	6	in	in	ADP
brj-24742	80	7	various	various	ADJ
brj-24742	80	8	aspects	aspect	NOUN
brj-24742	80	9	of	of	ADP
brj-24742	80	10	construction	construction	NOUN
brj-24742	80	11	and	and	CCONJ
brj-24742	80	12	indoor	indoor	ADJ
brj-24742	80	13	decoration	decoration	NOUN
brj-24742	80	14	due	due	ADP
brj-24742	80	15	to	to	ADP
brj-24742	80	16	their	their	PRON
brj-24742	80	17	high	high	ADJ
brj-24742	80	18	renewability	renewability	NOUN
brj-24742	80	19	,	,	PUNCT
brj-24742	80	20	low	low	ADJ
brj-24742	80	21	cost	cost	NOUN
brj-24742	80	22	,	,	PUNCT
brj-24742	80	23	and	and	CCONJ
brj-24742	80	24	stable	stable	ADJ
brj-24742	80	25	supply	supply	NOUN
brj-24742	80	26	chain	chain	NOUN
brj-24742	80	27	,	,	PUNCT
brj-24742	80	28	and	and	CCONJ
brj-24742	80	29	they	they	PRON
brj-24742	80	30	are	be	AUX
brj-24742	80	31	the	the	DET
brj-24742	80	32	core	core	ADJ
brj-24742	80	33	raw	raw	ADJ
brj-24742	80	34	material	material	NOUN
brj-24742	80	35	for	for	ADP
brj-24742	80	36	modern	modern	ADJ
brj-24742	80	37	structural	structural	ADJ
brj-24742	80	38	wooden	wooden	ADJ
brj-24742	80	39	materials	material	NOUN
brj-24742	80	40	,	,	PUNCT
brj-24742	80	41	such	such	ADJ
brj-24742	80	42	as	as	ADP
brj-24742	80	43	laminated	laminated	ADJ
brj-24742	80	44	veneer	veneer	NOUN
brj-24742	80	45	lumber	lumber	NOUN
brj-24742	80	46	(	(	PUNCT
brj-24742	80	47	lvl	lvl	NOUN
brj-24742	80	48	)	)	PUNCT
brj-24742	80	49	and	and	CCONJ
brj-24742	80	50	crosslaminated	crosslaminate	VERB
brj-24742	80	51	timber	timber	NOUN
brj-24742	80	52	(	(	PUNCT
brj-24742	80	53	clt	clt	NOUN
brj-24742	80	54	)	)	PUNCT
brj-24742	80	55	.	.	PUNCT
brj-24742	81	1	furthermore	furthermore	ADV
brj-24742	81	2	,	,	PUNCT
brj-24742	81	3	these	these	DET
brj-24742	81	4	timbers	timber	NOUN
brj-24742	81	5	feature	feature	VERB
brj-24742	81	6	a	a	DET
brj-24742	81	7	high	high	ADJ
brj-24742	81	8	carbon	carbon	NOUN
brj-24742	81	9	sequestration	sequestration	NOUN
brj-24742	81	10	rate	rate	NOUN
brj-24742	81	11	,	,	PUNCT
brj-24742	81	12	making	make	VERB
brj-24742	81	13	them	they	PRON
brj-24742	81	14	more	more	ADV
brj-24742	81	15	suitable	suitable	ADJ
brj-24742	81	16	for	for	ADP
brj-24742	81	17	application	application	NOUN
brj-24742	81	18	in	in	ADP
brj-24742	81	19	green	green	ADJ
brj-24742	81	20	buildings	building	NOUN
brj-24742	81	21	.	.	PUNCT
brj-24742	82	1	podocarpaceae	podocarpaceae	PROPN
brj-24742	82	2	species	specie	NOUN
brj-24742	82	3	can	can	AUX
brj-24742	82	4	be	be	AUX
brj-24742	82	5	used	use	VERB
brj-24742	82	6	in	in	ADP
brj-24742	82	7	interior	interior	ADJ
brj-24742	82	8	decorations	decoration	NOUN
brj-24742	82	9	such	such	ADJ
brj-24742	82	10	as	as	ADP
brj-24742	82	11	high	high	ADJ
brj-24742	82	12	-	-	PUNCT
brj-24742	82	13	end	end	NOUN
brj-24742	82	14	furniture	furniture	NOUN
brj-24742	82	15	panels	panel	NOUN
brj-24742	82	16	,	,	PUNCT
brj-24742	82	17	premium	premium	NOUN
brj-24742	82	18	flooring	flooring	NOUN
brj-24742	82	19	,	,	PUNCT
brj-24742	82	20	due	due	ADP
brj-24742	82	21	to	to	ADP
brj-24742	82	22	their	their	PRON
brj-24742	82	23	distinctive	distinctive	ADJ
brj-24742	82	24	grain	grain	NOUN
brj-24742	82	25	patterns	pattern	NOUN
brj-24742	82	26	and	and	CCONJ
brj-24742	82	27	stable	stable	ADJ
brj-24742	82	28	coloration	coloration	NOUN
brj-24742	82	29	.	.	PUNCT
brj-24742	83	1	also	also	ADV
brj-24742	83	2	it	it	PRON
brj-24742	83	3	meets	meet	VERB
brj-24742	83	4	the	the	DET
brj-24742	83	5	requirements	requirement	NOUN
brj-24742	83	6	for	for	ADP
brj-24742	83	7	small	small	ADJ
brj-24742	83	8	-	-	PUNCT
brj-24742	83	9	scale	scale	NOUN
brj-24742	83	10	buildings	building	NOUN
brj-24742	83	11	construction	construction	NOUN
brj-24742	83	12	,	,	PUNCT
brj-24742	83	13	but	but	CCONJ
brj-24742	83	14	their	their	PRON
brj-24742	83	15	high	high	ADJ
brj-24742	83	16	cost	cost	NOUN
brj-24742	83	17	restricts	restrict	VERB
brj-24742	83	18	application	application	NOUN
brj-24742	83	19	.	.	PUNCT
brj-24742	84	1	taxaceae	taxaceae	NOUN
brj-24742	84	2	timbers	timber	NOUN
brj-24742	84	3	exhibit	exhibit	VERB
brj-24742	84	4	high	high	ADJ
brj-24742	84	5	decay	decay	NOUN
brj-24742	84	6	resistance	resistance	NOUN
brj-24742	84	7	and	and	CCONJ
brj-24742	84	8	exceptional	exceptional	ADJ
brj-24742	84	9	toughness	toughness	NOUN
brj-24742	84	10	,	,	PUNCT
brj-24742	84	11	making	make	VERB
brj-24742	84	12	them	they	PRON
brj-24742	84	13	theoretically	theoretically	ADV
brj-24742	84	14	suitable	suitable	ADJ
brj-24742	84	15	for	for	ADP
brj-24742	84	16	load	load	NOUN
brj-24742	84	17	-	-	PUNCT
brj-24742	84	18	bearing	bear	VERB
brj-24742	84	19	components	component	NOUN
brj-24742	84	20	,	,	PUNCT
brj-24742	84	21	such	such	ADJ
brj-24742	84	22	as	as	ADP
brj-24742	84	23	beams	beam	NOUN
brj-24742	84	24	.	.	PUNCT
brj-24742	85	1	however	however	ADV
brj-24742	85	2	,	,	PUNCT
brj-24742	85	3	they	they	PRON
brj-24742	85	4	are	be	AUX
brj-24742	85	5	not	not	PART
brj-24742	85	6	mainstream	mainstream	ADJ
brj-24742	85	7	construction	construction	NOUN
brj-24742	85	8	materials	material	NOUN
brj-24742	85	9	even	even	ADV
brj-24742	85	10	though	though	SCONJ
brj-24742	85	11	their	their	PRON
brj-24742	85	12	timber	timber	NOUN
brj-24742	85	13	is	be	AUX
brj-24742	85	14	valued	value	VERB
brj-24742	85	15	for	for	ADP
brj-24742	85	16	strength	strength	NOUN
brj-24742	85	17	and	and	CCONJ
brj-24742	85	18	aesthetic	aesthetic	ADJ
brj-24742	85	19	appeal	appeal	NOUN
brj-24742	85	20	in	in	ADP
brj-24742	85	21	woodworking	woodworking	NOUN
brj-24742	85	22	.	.	PUNCT
brj-24742	86	1	this	this	PRON
brj-24742	86	2	is	be	AUX
brj-24742	86	3	because	because	SCONJ
brj-24742	86	4	most	most	ADJ
brj-24742	86	5	species	specie	NOUN
brj-24742	86	6	in	in	ADP
brj-24742	86	7	this	this	DET
brj-24742	86	8	family	family	NOUN
brj-24742	86	9	are	be	AUX
brj-24742	86	10	endangered	endanger	VERB
brj-24742	86	11	,	,	PUNCT
brj-24742	86	12	and	and	CCONJ
brj-24742	86	13	lawful	lawful	ADJ
brj-24742	86	14	harvesting	harvesting	NOUN
brj-24742	86	15	requires	require	VERB
brj-24742	86	16	fsc	fsc	PROPN
brj-24742	86	17	certification	certification	PROPN
brj-24742	86	18	.	.	PUNCT
brj-24742	87	1	nowadays	nowadays	ADV
brj-24742	87	2	,	,	PUNCT
brj-24742	87	3	they	they	PRON
brj-24742	87	4	are	be	AUX
brj-24742	87	5	peer	peer	NOUN
brj-24742	87	6	-	-	PUNCT
brj-24742	87	7	reviewed	review	VERB
brj-24742	87	8	article	article	NOUN
brj-24742	87	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24742	88	1	tian	tian	PROPN
brj-24742	88	2	et	et	PROPN
brj-24742	88	3	al	al	PROPN
brj-24742	88	4	.	.	PROPN
brj-24742	89	1	(	(	PUNCT
brj-24742	89	2	2026	2026	NUM
brj-24742	89	3	)	)	PUNCT
brj-24742	89	4	.	.	PUNCT
brj-24742	90	1	“	"	PUNCT
brj-24742	90	2	softwood	softwood	NOUN
brj-24742	90	3	classification	classification	NOUN
brj-24742	90	4	for	for	ADP
brj-24742	90	5	design	design	NOUN
brj-24742	90	6	,	,	PUNCT
brj-24742	90	7	”	"	PUNCT
brj-24742	90	8	bioresources	bioresource	NOUN
brj-24742	90	9	21(1	21(1	NUM
brj-24742	90	10	)	)	PUNCT
brj-24742	90	11	,	,	PUNCT
brj-24742	90	12	781	781	NUM
brj-24742	90	13	-	-	SYM
brj-24742	90	14	798	798	NUM
brj-24742	90	15	.	.	PUNCT
brj-24742	90	16	786	786	NUM
brj-24742	90	17	predominantly	predominantly	ADV
brj-24742	90	18	applied	apply	VERB
brj-24742	90	19	in	in	ADP
brj-24742	90	20	architectural	architectural	ADJ
brj-24742	90	21	landscape	landscape	NOUN
brj-24742	90	22	design	design	NOUN
brj-24742	90	23	and	and	CCONJ
brj-24742	90	24	ancient	ancient	ADJ
brj-24742	90	25	architecture	architecture	NOUN
brj-24742	90	26	restoration	restoration	NOUN
brj-24742	90	27	.	.	PUNCT
brj-24742	91	1	taxodiaceae	taxodiaceae	PROPN
brj-24742	91	2	wood	wood	PROPN
brj-24742	91	3	features	feature	VERB
brj-24742	91	4	straight	straight	ADJ
brj-24742	91	5	grain	grain	NOUN
brj-24742	91	6	and	and	CCONJ
brj-24742	91	7	excellent	excellent	ADJ
brj-24742	91	8	workability	workability	NOUN
brj-24742	91	9	,	,	PUNCT
brj-24742	91	10	with	with	ADP
brj-24742	91	11	densities	density	NOUN
brj-24742	91	12	ranging	range	VERB
brj-24742	91	13	from	from	ADP
brj-24742	91	14	low	low	ADJ
brj-24742	91	15	to	to	ADP
brj-24742	91	16	medium	medium	ADJ
brj-24742	91	17	and	and	CCONJ
brj-24742	91	18	moderate	moderate	ADJ
brj-24742	91	19	strength	strength	NOUN
brj-24742	91	20	.	.	PUNCT
brj-24742	92	1	the	the	DET
brj-24742	92	2	heartwood	heartwood	NOUN
brj-24742	92	3	is	be	AUX
brj-24742	92	4	highly	highly	ADV
brj-24742	92	5	resistance	resistance	NOUN
brj-24742	92	6	to	to	ADP
brj-24742	92	7	decay	decay	NOUN
brj-24742	92	8	,	,	PUNCT
brj-24742	92	9	which	which	PRON
brj-24742	92	10	makes	make	VERB
brj-24742	92	11	it	it	PRON
brj-24742	92	12	suitable	suitable	ADJ
brj-24742	92	13	for	for	ADP
brj-24742	92	14	wetland	wetland	NOUN
brj-24742	92	15	construction	construction	NOUN
brj-24742	92	16	.	.	PUNCT
brj-24742	93	1	with	with	ADP
brj-24742	93	2	low	low	ADJ
brj-24742	93	3	economic	economic	ADJ
brj-24742	93	4	costs	cost	NOUN
brj-24742	93	5	,	,	PUNCT
brj-24742	93	6	it	it	PRON
brj-24742	93	7	serves	serve	VERB
brj-24742	93	8	as	as	ADP
brj-24742	93	9	a	a	DET
brj-24742	93	10	favorable	favorable	ADJ
brj-24742	93	11	raw	raw	ADJ
brj-24742	93	12	material	material	NOUN
brj-24742	93	13	for	for	ADP
brj-24742	93	14	non	non	ADJ
brj-24742	93	15	-	-	ADJ
brj-24742	93	16	load	load	NOUN
brj-24742	93	17	-	-	PUNCT
brj-24742	93	18	bearing	bear	VERB
brj-24742	93	19	components	component	NOUN
brj-24742	93	20	and	and	CCONJ
brj-24742	93	21	decorative	decorative	ADJ
brj-24742	93	22	elements	element	NOUN
brj-24742	93	23	.	.	PUNCT
brj-24742	94	1	methodology	methodology	NOUN
brj-24742	94	2	the	the	DET
brj-24742	94	3	experimental	experimental	ADJ
brj-24742	94	4	procedure	procedure	NOUN
brj-24742	94	5	comprises	comprise	VERB
brj-24742	94	6	three	three	NUM
brj-24742	94	7	parts	part	NOUN
brj-24742	94	8	.	.	PUNCT
brj-24742	95	1	a	a	DET
brj-24742	95	2	)	)	PUNCT
brj-24742	95	3	dataset	dataset	NOUN
brj-24742	95	4	creation	creation	NOUN
brj-24742	95	5	:	:	PUNCT
brj-24742	95	6	establishing	establish	VERB
brj-24742	95	7	the	the	DET
brj-24742	95	8	dataset	dataset	NOUN
brj-24742	95	9	of	of	ADP
brj-24742	95	10	the	the	DET
brj-24742	95	11	selected	select	VERB
brj-24742	95	12	36	36	NUM
brj-24742	95	13	softwood	softwood	NOUN
brj-24742	95	14	species	specie	NOUN
brj-24742	95	15	cross	cross	ADJ
brj-24742	95	16	-	-	ADJ
brj-24742	95	17	sectional	sectional	ADJ
brj-24742	95	18	microscopic	microscopic	ADJ
brj-24742	95	19	images	image	NOUN
brj-24742	95	20	.	.	PUNCT
brj-24742	96	1	b	b	X
brj-24742	96	2	)	)	PUNCT
brj-24742	96	3	experimental	experimental	ADJ
brj-24742	96	4	model	model	NOUN
brj-24742	96	5	:	:	PUNCT
brj-24742	96	6	11	11	NUM
brj-24742	96	7	classification	classification	NOUN
brj-24742	96	8	models	model	NOUN
brj-24742	96	9	were	be	AUX
brj-24742	96	10	selected	select	VERB
brj-24742	96	11	for	for	ADP
brj-24742	96	12	training	training	NOUN
brj-24742	96	13	respectively	respectively	ADV
brj-24742	96	14	,	,	PUNCT
brj-24742	96	15	and	and	CCONJ
brj-24742	96	16	the	the	DET
brj-24742	96	17	swin	swin	PROPN
brj-24742	96	18	-	-	PUNCT
brj-24742	96	19	transformer	transformer	NOUN
brj-24742	96	20	model	model	NOUN
brj-24742	96	21	is	be	AUX
brj-24742	96	22	illustrated	illustrate	VERB
brj-24742	96	23	as	as	ADP
brj-24742	96	24	a	a	DET
brj-24742	96	25	sample	sample	NOUN
brj-24742	96	26	.	.	PUNCT
brj-24742	97	1	c	c	X
brj-24742	97	2	)	)	PUNCT
brj-24742	97	3	prediction	prediction	NOUN
brj-24742	97	4	evaluation	evaluation	NOUN
brj-24742	97	5	:	:	PUNCT
brj-24742	97	6	based	base	VERB
brj-24742	97	7	on	on	ADP
brj-24742	97	8	the	the	DET
brj-24742	97	9	prediction	prediction	NOUN
brj-24742	97	10	accuracy	accuracy	NOUN
brj-24742	97	11	of	of	ADP
brj-24742	97	12	each	each	DET
brj-24742	97	13	model	model	NOUN
brj-24742	97	14	,	,	PUNCT
brj-24742	97	15	model	model	NOUN
brj-24742	97	16	performance	performance	NOUN
brj-24742	97	17	is	be	AUX
brj-24742	97	18	evaluated	evaluate	VERB
brj-24742	97	19	against	against	ADP
brj-24742	97	20	ground	ground	NOUN
brj-24742	97	21	truth	truth	NOUN
brj-24742	97	22	labels	label	NOUN
brj-24742	97	23	and	and	CCONJ
brj-24742	97	24	classification	classification	NOUN
brj-24742	97	25	metrics	metric	NOUN
brj-24742	97	26	.	.	PUNCT
brj-24742	98	1	dataset	dataset	NOUN
brj-24742	98	2	construction	construction	NOUN
brj-24742	98	3	the	the	DET
brj-24742	98	4	experimental	experimental	ADJ
brj-24742	98	5	image	image	NOUN
brj-24742	98	6	dataset	dataset	NOUN
brj-24742	98	7	was	be	AUX
brj-24742	98	8	sourced	source	VERB
brj-24742	98	9	from	from	ADP
brj-24742	98	10	the	the	DET
brj-24742	98	11	wood	wood	NOUN
brj-24742	98	12	anatomy	anatomy	NOUN
brj-24742	98	13	laboratory	laboratory	NOUN
brj-24742	98	14	at	at	ADP
brj-24742	98	15	the	the	DET
brj-24742	98	16	federal	federal	ADJ
brj-24742	98	17	university	university	PROPN
brj-24742	98	18	of	of	ADP
brj-24742	98	19	paraná	paraná	PROPN
brj-24742	98	20	,	,	PUNCT
brj-24742	98	21	curitiba	curitiba	PROPN
brj-24742	98	22	,	,	PUNCT
brj-24742	98	23	brazil	brazil	PROPN
brj-24742	98	24	.	.	PUNCT
brj-24742	99	1	the	the	DET
brj-24742	99	2	dataset	dataset	NOUN
brj-24742	99	3	includes	include	VERB
brj-24742	99	4	36	36	NUM
brj-24742	99	5	species	specie	NOUN
brj-24742	99	6	of	of	ADP
brj-24742	99	7	softwood	softwood	NOUN
brj-24742	99	8	,	,	PUNCT
brj-24742	99	9	with	with	ADP
brj-24742	99	10	the	the	DET
brj-24742	99	11	image	image	NOUN
brj-24742	99	12	collection	collection	NOUN
brj-24742	99	13	process	process	NOUN
brj-24742	99	14	consisting	consist	VERB
brj-24742	99	15	of	of	ADP
brj-24742	99	16	three	three	NUM
brj-24742	99	17	steps	step	NOUN
brj-24742	99	18	.	.	PUNCT
brj-24742	100	1	first	first	ADV
brj-24742	100	2	,	,	PUNCT
brj-24742	100	3	the	the	DET
brj-24742	100	4	wood	wood	NOUN
brj-24742	100	5	was	be	AUX
brj-24742	100	6	immersed	immerse	VERB
brj-24742	100	7	in	in	ADP
brj-24742	100	8	boiling	boiling	NOUN
brj-24742	100	9	water	water	NOUN
brj-24742	100	10	for	for	ADP
brj-24742	100	11	an	an	DET
brj-24742	100	12	extended	extended	ADJ
brj-24742	100	13	period	period	NOUN
brj-24742	100	14	to	to	PART
brj-24742	100	15	soften	soften	VERB
brj-24742	100	16	it	it	PRON
brj-24742	100	17	.	.	PUNCT
brj-24742	101	1	it	it	PRON
brj-24742	101	2	was	be	AUX
brj-24742	101	3	subsequently	subsequently	ADV
brj-24742	101	4	sliced	slice	VERB
brj-24742	101	5	into	into	ADP
brj-24742	101	6	thin	thin	ADJ
brj-24742	101	7	sections	section	NOUN
brj-24742	101	8	of	of	ADP
brj-24742	101	9	25	25	NUM
brj-24742	101	10	microns	micron	NOUN
brj-24742	101	11	in	in	ADP
brj-24742	101	12	thickness	thickness	NOUN
brj-24742	101	13	.	.	PUNCT
brj-24742	102	1	the	the	DET
brj-24742	102	2	wood	wood	NOUN
brj-24742	102	3	sections	section	NOUN
brj-24742	102	4	were	be	AUX
brj-24742	102	5	subjected	subject	VERB
brj-24742	102	6	to	to	ADP
brj-24742	102	7	a	a	DET
brj-24742	102	8	triple	triple	ADJ
brj-24742	102	9	staining	stain	VERB
brj-24742	102	10	procedure	procedure	NOUN
brj-24742	102	11	employing	employ	VERB
brj-24742	102	12	astra	astra	PROPN
brj-24742	102	13	blue	blue	PROPN
brj-24742	102	14	,	,	PUNCT
brj-24742	102	15	chrysoidine	chrysoidine	NOUN
brj-24742	102	16	,	,	PUNCT
brj-24742	102	17	and	and	CCONJ
brj-24742	102	18	acridine	acridine	PROPN
brj-24742	102	19	red	red	VERB
brj-24742	102	20	to	to	PART
brj-24742	102	21	differentially	differentially	ADV
brj-24742	102	22	highlight	highlight	VERB
brj-24742	102	23	cellulose	cellulose	NOUN
brj-24742	102	24	and	and	CCONJ
brj-24742	102	25	lignified	lignified	ADJ
brj-24742	102	26	structures	structure	NOUN
brj-24742	102	27	,	,	PUNCT
brj-24742	102	28	then	then	ADV
brj-24742	102	29	dehydrated	dehydrate	VERB
brj-24742	102	30	through	through	ADP
brj-24742	102	31	a	a	DET
brj-24742	102	32	graded	grade	VERB
brj-24742	102	33	ethanol	ethanol	NOUN
brj-24742	102	34	series	series	NOUN
brj-24742	102	35	to	to	PART
brj-24742	102	36	remove	remove	VERB
brj-24742	102	37	moisture	moisture	NOUN
brj-24742	102	38	for	for	ADP
brj-24742	102	39	microscopic	microscopic	ADJ
brj-24742	102	40	observation	observation	NOUN
brj-24742	102	41	.	.	PUNCT
brj-24742	103	1	finally	finally	ADV
brj-24742	103	2	,	,	PUNCT
brj-24742	103	3	high	high	ADJ
brj-24742	103	4	-	-	PUNCT
brj-24742	103	5	resolution	resolution	NOUN
brj-24742	103	6	digital	digital	ADJ
brj-24742	103	7	images	image	NOUN
brj-24742	103	8	of	of	ADP
brj-24742	103	9	the	the	DET
brj-24742	103	10	wood	wood	NOUN
brj-24742	103	11	structure	structure	NOUN
brj-24742	103	12	were	be	AUX
brj-24742	103	13	captured	capture	VERB
brj-24742	103	14	under	under	ADP
brj-24742	103	15	an	an	DET
brj-24742	103	16	olympus	olympus	PROPN
brj-24742	103	17	cx40	cx40	PROPN
brj-24742	103	18	microscope	microscope	NOUN
brj-24742	103	19	and	and	CCONJ
brj-24742	103	20	saved	save	VERB
brj-24742	103	21	in	in	ADP
brj-24742	103	22	png	png	NOUN
brj-24742	103	23	format	format	NOUN
brj-24742	103	24	.	.	PUNCT
brj-24742	104	1	for	for	ADP
brj-24742	104	2	each	each	DET
brj-24742	104	3	species	specie	NOUN
brj-24742	104	4	,	,	PUNCT
brj-24742	104	5	20	20	NUM
brj-24742	104	6	cross	cross	ADJ
brj-24742	104	7	-	-	ADJ
brj-24742	104	8	sectional	sectional	ADJ
brj-24742	104	9	images	image	NOUN
brj-24742	104	10	of	of	ADP
brj-24742	104	11	the	the	DET
brj-24742	104	12	wood	wood	NOUN
brj-24742	104	13	were	be	AUX
brj-24742	104	14	collected	collect	VERB
brj-24742	104	15	,	,	PUNCT
brj-24742	104	16	with	with	ADP
brj-24742	104	17	image	image	NOUN
brj-24742	104	18	dimensions	dimension	NOUN
brj-24742	104	19	of	of	ADP
brj-24742	104	20	1024px	1024px	PROPN
brj-24742	104	21	×	×	PROPN
brj-24742	104	22	768px	768px	NOUN
brj-24742	104	23	.	.	PUNCT
brj-24742	105	1	to	to	PART
brj-24742	105	2	ensure	ensure	VERB
brj-24742	105	3	an	an	DET
brj-24742	105	4	adequate	adequate	ADJ
brj-24742	105	5	number	number	NOUN
brj-24742	105	6	of	of	ADP
brj-24742	105	7	wood	wood	NOUN
brj-24742	105	8	cross	cross	ADJ
brj-24742	105	9	-	-	ADJ
brj-24742	105	10	sectional	sectional	ADJ
brj-24742	105	11	images	image	NOUN
brj-24742	105	12	for	for	ADP
brj-24742	105	13	deep	deep	ADJ
brj-24742	105	14	learning	learning	NOUN
brj-24742	105	15	model	model	NOUN
brj-24742	105	16	training	training	NOUN
brj-24742	105	17	,	,	PUNCT
brj-24742	105	18	data	datum	NOUN
brj-24742	105	19	augmentation	augmentation	NOUN
brj-24742	105	20	was	be	AUX
brj-24742	105	21	performed	perform	VERB
brj-24742	105	22	on	on	ADP
brj-24742	105	23	the	the	DET
brj-24742	105	24	images	image	NOUN
brj-24742	105	25	in	in	ADP
brj-24742	105	26	the	the	DET
brj-24742	105	27	dataset	dataset	NOUN
brj-24742	105	28	.	.	PUNCT
brj-24742	106	1	each	each	DET
brj-24742	106	2	image	image	NOUN
brj-24742	106	3	was	be	AUX
brj-24742	106	4	cropped	crop	VERB
brj-24742	106	5	into	into	ADP
brj-24742	106	6	four	four	NUM
brj-24742	106	7	independent	independent	ADJ
brj-24742	106	8	sub	sub	NOUN
brj-24742	106	9	-	-	NOUN
brj-24742	106	10	images	image	NOUN
brj-24742	106	11	without	without	ADP
brj-24742	106	12	overlapping	overlap	VERB
brj-24742	106	13	pixels	pixel	NOUN
brj-24742	106	14	,	,	PUNCT
brj-24742	106	15	with	with	ADP
brj-24742	106	16	each	each	DET
brj-24742	106	17	sub	sub	ADJ
brj-24742	106	18	-	-	ADJ
brj-24742	106	19	image	image	ADJ
brj-24742	106	20	measuring	measure	VERB
brj-24742	106	21	384px	384px	PROPN
brj-24742	106	22	×	×	PROPN
brj-24742	106	23	384px	384px	PROPN
brj-24742	106	24	.	.	PUNCT
brj-24742	107	1	these	these	DET
brj-24742	107	2	sub	sub	NOUN
brj-24742	107	3	-	-	NOUN
brj-24742	107	4	images	image	NOUN
brj-24742	107	5	were	be	AUX
brj-24742	107	6	then	then	ADV
brj-24742	107	7	proportionally	proportionally	ADV
brj-24742	107	8	resized	resize	VERB
brj-24742	107	9	to	to	ADP
brj-24742	107	10	224px	224px	PROPN
brj-24742	107	11	×	×	PROPN
brj-24742	107	12	224px	224px	PROPN
brj-24742	107	13	.	.	PUNCT
brj-24742	108	1	further	further	ADJ
brj-24742	108	2	augmentation	augmentation	NOUN
brj-24742	108	3	was	be	AUX
brj-24742	108	4	applied	apply	VERB
brj-24742	108	5	by	by	ADP
brj-24742	108	6	rotating	rotate	VERB
brj-24742	108	7	the	the	DET
brj-24742	108	8	images	image	NOUN
brj-24742	108	9	90	90	NUM
brj-24742	108	10	°	°	NOUN
brj-24742	108	11	,	,	PUNCT
brj-24742	108	12	180	180	NUM
brj-24742	108	13	°	°	NOUN
brj-24742	108	14	,	,	PUNCT
brj-24742	108	15	and	and	CCONJ
brj-24742	108	16	270	270	NUM
brj-24742	108	17	°	°	NOUN
brj-24742	108	18	,	,	PUNCT
brj-24742	108	19	as	as	ADV
brj-24742	108	20	well	well	ADV
brj-24742	108	21	as	as	ADP
brj-24742	108	22	flipping	flip	VERB
brj-24742	108	23	them	they	PRON
brj-24742	108	24	vertically	vertically	ADV
brj-24742	108	25	and	and	CCONJ
brj-24742	108	26	horizontally	horizontally	ADV
brj-24742	108	27	.	.	PUNCT
brj-24742	109	1	after	after	ADP
brj-24742	109	2	data	data	NOUN
brj-24742	109	3	augmentation	augmentation	NOUN
brj-24742	109	4	,	,	PUNCT
brj-24742	109	5	the	the	DET
brj-24742	109	6	number	number	NOUN
brj-24742	109	7	of	of	ADP
brj-24742	109	8	images	image	NOUN
brj-24742	109	9	for	for	ADP
brj-24742	109	10	each	each	DET
brj-24742	109	11	species	specie	NOUN
brj-24742	109	12	increased	increase	VERB
brj-24742	109	13	from	from	ADP
brj-24742	109	14	the	the	DET
brj-24742	109	15	original	original	ADJ
brj-24742	109	16	20	20	NUM
brj-24742	109	17	to	to	PART
brj-24742	109	18	480	480	NUM
brj-24742	109	19	,	,	PUNCT
brj-24742	109	20	resulting	result	VERB
brj-24742	109	21	in	in	ADP
brj-24742	109	22	a	a	DET
brj-24742	109	23	total	total	NOUN
brj-24742	109	24	of	of	ADP
brj-24742	109	25	17,280	17,280	NUM
brj-24742	109	26	images	image	NOUN
brj-24742	109	27	across	across	ADP
brj-24742	109	28	the	the	DET
brj-24742	109	29	36	36	NUM
brj-24742	109	30	wood	wood	NOUN
brj-24742	109	31	species	specie	NOUN
brj-24742	109	32	,	,	PUNCT
brj-24742	109	33	as	as	SCONJ
brj-24742	109	34	shown	show	VERB
brj-24742	109	35	in	in	ADP
brj-24742	109	36	fig	fig	NOUN
brj-24742	109	37	.	.	PUNCT
brj-24742	110	1	2	2	X
brj-24742	110	2	.	.	X
brj-24742	110	3	then	then	ADV
brj-24742	110	4	,	,	PUNCT
brj-24742	110	5	the	the	DET
brj-24742	110	6	images	image	NOUN
brj-24742	110	7	were	be	AUX
brj-24742	110	8	randomly	randomly	ADV
brj-24742	110	9	split	split	VERB
brj-24742	110	10	into	into	ADP
brj-24742	110	11	training	training	NOUN
brj-24742	110	12	and	and	CCONJ
brj-24742	110	13	testing	testing	NOUN
brj-24742	110	14	sets	set	NOUN
brj-24742	110	15	in	in	ADP
brj-24742	110	16	an	an	DET
brj-24742	110	17	8:2	8:2	NUM
brj-24742	110	18	ratio	ratio	NOUN
brj-24742	110	19	,	,	PUNCT
brj-24742	110	20	resulting	result	VERB
brj-24742	110	21	in	in	ADP
brj-24742	110	22	13,824	13,824	NUM
brj-24742	110	23	images	image	NOUN
brj-24742	110	24	for	for	ADP
brj-24742	110	25	the	the	DET
brj-24742	110	26	training	training	NOUN
brj-24742	110	27	set	set	NOUN
brj-24742	110	28	and	and	CCONJ
brj-24742	110	29	3,456	3,456	NUM
brj-24742	110	30	images	image	NOUN
brj-24742	110	31	for	for	ADP
brj-24742	110	32	the	the	DET
brj-24742	110	33	testing	testing	NOUN
brj-24742	110	34	set	set	NOUN
brj-24742	110	35	.	.	PUNCT
brj-24742	111	1	because	because	SCONJ
brj-24742	111	2	the	the	DET
brj-24742	111	3	stained	stain	VERB
brj-24742	111	4	wood	wood	NOUN
brj-24742	111	5	cross	cross	ADJ
brj-24742	111	6	-	-	ADJ
brj-24742	111	7	sectional	sectional	ADJ
brj-24742	111	8	images	image	NOUN
brj-24742	111	9	were	be	AUX
brj-24742	111	10	8	8	NUM
brj-24742	111	11	-	-	PUNCT
brj-24742	111	12	bit	bit	NOUN
brj-24742	111	13	,	,	PUNCT
brj-24742	111	14	three	three	NUM
brj-24742	111	15	-	-	PUNCT
brj-24742	111	16	channel	channel	NOUN
brj-24742	111	17	true	true	ADJ
brj-24742	111	18	-	-	PUNCT
brj-24742	111	19	color	color	NOUN
brj-24742	111	20	png	png	NOUN
brj-24742	111	21	images	image	NOUN
brj-24742	111	22	,	,	PUNCT
brj-24742	111	23	to	to	PART
brj-24742	111	24	eliminate	eliminate	VERB
brj-24742	111	25	the	the	DET
brj-24742	111	26	influence	influence	NOUN
brj-24742	111	27	of	of	ADP
brj-24742	111	28	color	color	NOUN
brj-24742	111	29	tone	tone	NOUN
brj-24742	111	30	on	on	ADP
brj-24742	111	31	species	specie	NOUN
brj-24742	111	32	classification	classification	NOUN
brj-24742	111	33	,	,	PUNCT
brj-24742	111	34	the	the	DET
brj-24742	111	35	images	image	NOUN
brj-24742	111	36	were	be	AUX
brj-24742	111	37	converted	convert	VERB
brj-24742	111	38	to	to	ADP
brj-24742	111	39	grayscale	grayscale	NOUN
brj-24742	111	40	to	to	PART
brj-24742	111	41	obtain	obtain	VERB
brj-24742	111	42	single	single	ADJ
brj-24742	111	43	-	-	PUNCT
brj-24742	111	44	channel	channel	NOUN
brj-24742	111	45	8	8	NUM
brj-24742	111	46	-	-	PUNCT
brj-24742	111	47	bit	bit	NOUN
brj-24742	111	48	grayscale	grayscale	NOUN
brj-24742	111	49	images	image	NOUN
brj-24742	111	50	.	.	PUNCT
brj-24742	112	1	the	the	DET
brj-24742	112	2	pixel	pixel	PROPN
brj-24742	112	3	values	value	NOUN
brj-24742	112	4	of	of	ADP
brj-24742	112	5	the	the	DET
brj-24742	112	6	grayscale	grayscale	NOUN
brj-24742	112	7	images	image	NOUN
brj-24742	112	8	were	be	AUX
brj-24742	112	9	replicated	replicate	VERB
brj-24742	112	10	to	to	PART
brj-24742	112	11	generate	generate	VERB
brj-24742	112	12	three	three	NUM
brj-24742	112	13	-	-	PUNCT
brj-24742	112	14	channel	channel	NOUN
brj-24742	112	15	true	true	ADJ
brj-24742	112	16	-	-	PUNCT
brj-24742	112	17	color	color	NOUN
brj-24742	112	18	images	image	NOUN
brj-24742	112	19	,	,	PUNCT
brj-24742	112	20	where	where	SCONJ
brj-24742	112	21	the	the	DET
brj-24742	112	22	rgb	rgb	PROPN
brj-24742	112	23	pixel	pixel	PROPN
brj-24742	112	24	values	value	NOUN
brj-24742	112	25	were	be	AUX
brj-24742	112	26	equal	equal	ADJ
brj-24742	112	27	.	.	PUNCT
brj-24742	113	1	peer	peer	NOUN
brj-24742	113	2	-	-	PUNCT
brj-24742	113	3	reviewed	review	VERB
brj-24742	113	4	article	article	NOUN
brj-24742	113	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24742	113	6	tian	tian	PROPN
brj-24742	113	7	et	et	PROPN
brj-24742	113	8	al	al	PROPN
brj-24742	113	9	.	.	PROPN
brj-24742	114	1	(	(	PUNCT
brj-24742	114	2	2026	2026	NUM
brj-24742	114	3	)	)	PUNCT
brj-24742	114	4	.	.	PUNCT
brj-24742	115	1	“	"	PUNCT
brj-24742	115	2	softwood	softwood	NOUN
brj-24742	115	3	classification	classification	NOUN
brj-24742	115	4	for	for	ADP
brj-24742	115	5	design	design	NOUN
brj-24742	115	6	,	,	PUNCT
brj-24742	115	7	”	"	PUNCT
brj-24742	115	8	bioresources	bioresource	NOUN
brj-24742	115	9	21(1	21(1	NUM
brj-24742	115	10	)	)	PUNCT
brj-24742	115	11	,	,	PUNCT
brj-24742	115	12	781	781	NUM
brj-24742	115	13	-	-	SYM
brj-24742	115	14	798	798	NUM
brj-24742	115	15	.	.	PUNCT
brj-24742	115	16	787	787	NUM
brj-24742	115	17	fig	fig	NOUN
brj-24742	115	18	.	.	PUNCT
brj-24742	116	1	2	2	X
brj-24742	116	2	.	.	X
brj-24742	116	3	the	the	DET
brj-24742	116	4	classification	classification	NOUN
brj-24742	116	5	process	process	NOUN
brj-24742	116	6	for	for	ADP
brj-24742	116	7	36	36	NUM
brj-24742	116	8	softwood	softwood	NOUN
brj-24742	116	9	species	specie	NOUN
brj-24742	116	10	experimental	experimental	ADJ
brj-24742	116	11	procedures	procedure	NOUN
brj-24742	116	12	the	the	DET
brj-24742	116	13	employed	employ	VERB
brj-24742	116	14	model	model	NOUN
brj-24742	116	15	was	be	AUX
brj-24742	116	16	the	the	DET
brj-24742	116	17	swin	swin	NOUN
brj-24742	116	18	-	-	PUNCT
brj-24742	116	19	transformer	transformer	NOUN
brj-24742	116	20	,	,	PUNCT
brj-24742	116	21	which	which	PRON
brj-24742	116	22	consists	consist	VERB
brj-24742	116	23	of	of	ADP
brj-24742	116	24	patch	patch	ADJ
brj-24742	116	25	partition	partition	NOUN
brj-24742	116	26	(	(	PUNCT
brj-24742	116	27	pp	pp	ADJ
brj-24742	116	28	)	)	PUNCT
brj-24742	116	29	,	,	PUNCT
brj-24742	116	30	linear	linear	ADV
brj-24742	116	31	embedding	embed	VERB
brj-24742	116	32	(	(	PUNCT
brj-24742	116	33	le	le	ADJ
brj-24742	116	34	)	)	PUNCT
brj-24742	116	35	,	,	PUNCT
brj-24742	116	36	swin	swin	PROPN
brj-24742	116	37	-	-	PUNCT
brj-24742	116	38	transformer	transformer	NOUN
brj-24742	116	39	block	block	NOUN
brj-24742	116	40	(	(	PUNCT
brj-24742	116	41	stb	stb	NOUN
brj-24742	116	42	)	)	PUNCT
brj-24742	116	43	,	,	PUNCT
brj-24742	116	44	patch	patch	NOUN
brj-24742	116	45	merging	merging	NOUN
brj-24742	116	46	(	(	PUNCT
brj-24742	116	47	pm	pm	NOUN
brj-24742	116	48	)	)	PUNCT
brj-24742	116	49	,	,	PUNCT
brj-24742	116	50	and	and	CCONJ
brj-24742	116	51	a	a	DET
brj-24742	116	52	classifier	classifier	NOUN
brj-24742	116	53	.	.	PUNCT
brj-24742	117	1	patch	patch	PROPN
brj-24742	117	2	partition	partition	NOUN
brj-24742	117	3	divides	divide	VERB
brj-24742	117	4	the	the	DET
brj-24742	117	5	input	input	NOUN
brj-24742	117	6	image	image	NOUN
brj-24742	117	7	into	into	ADP
brj-24742	117	8	non	non	ADJ
brj-24742	117	9	-	-	ADJ
brj-24742	117	10	overlapping	overlapping	ADJ
brj-24742	117	11	patches	patch	NOUN
brj-24742	117	12	,	,	PUNCT
brj-24742	117	13	which	which	PRON
brj-24742	117	14	serve	serve	VERB
brj-24742	117	15	as	as	ADP
brj-24742	117	16	the	the	DET
brj-24742	117	17	input	input	NOUN
brj-24742	117	18	of	of	ADP
brj-24742	117	19	model	model	NOUN
brj-24742	117	20	.	.	PUNCT
brj-24742	118	1	linear	linear	ADJ
brj-24742	118	2	embedding	embed	VERB
brj-24742	118	3	linearly	linearly	ADV
brj-24742	118	4	maps	map	VERB
brj-24742	118	5	each	each	DET
brj-24742	118	6	image	image	NOUN
brj-24742	118	7	patch	patch	VERB
brj-24742	118	8	into	into	ADP
brj-24742	118	9	a	a	DET
brj-24742	118	10	highdimensional	highdimensional	ADJ
brj-24742	118	11	space	space	NOUN
brj-24742	118	12	before	before	ADP
brj-24742	118	13	passing	pass	VERB
brj-24742	118	14	it	it	PRON
brj-24742	118	15	to	to	ADP
brj-24742	118	16	the	the	DET
brj-24742	118	17	stb	stb	PROPN
brj-24742	118	18	.	.	PUNCT
brj-24742	119	1	patch	patch	PROPN
brj-24742	119	2	merging	merging	NOUN
brj-24742	119	3	is	be	AUX
brj-24742	119	4	applied	apply	VERB
brj-24742	119	5	at	at	ADP
brj-24742	119	6	different	different	ADJ
brj-24742	119	7	stages	stage	NOUN
brj-24742	119	8	of	of	ADP
brj-24742	119	9	the	the	DET
brj-24742	119	10	swin	swin	NOUN
brj-24742	119	11	-	-	PUNCT
brj-24742	119	12	transformer	transformer	NOUN
brj-24742	119	13	to	to	PART
brj-24742	119	14	reduce	reduce	VERB
brj-24742	119	15	the	the	DET
brj-24742	119	16	resolution	resolution	NOUN
brj-24742	119	17	of	of	ADP
brj-24742	119	18	the	the	DET
brj-24742	119	19	feature	feature	NOUN
brj-24742	119	20	maps	map	NOUN
brj-24742	119	21	while	while	SCONJ
brj-24742	119	22	increasing	increase	VERB
brj-24742	119	23	the	the	DET
brj-24742	119	24	feature	feature	NOUN
brj-24742	119	25	dimension	dimension	NOUN
brj-24742	119	26	.	.	PUNCT
brj-24742	120	1	this	this	DET
brj-24742	120	2	module	module	NOUN
brj-24742	120	3	involves	involve	VERB
brj-24742	120	4	concatenation	concatenation	ADJ
brj-24742	120	5	,	,	PUNCT
brj-24742	120	6	linear	linear	ADJ
brj-24742	120	7	projection	projection	NOUN
brj-24742	120	8	,	,	PUNCT
brj-24742	120	9	and	and	CCONJ
brj-24742	120	10	pooling	pool	VERB
brj-24742	120	11	operations	operation	NOUN
brj-24742	120	12	.	.	PUNCT
brj-24742	121	1	the	the	DET
brj-24742	121	2	classifier	classifier	NOUN
brj-24742	121	3	,	,	PUNCT
brj-24742	121	4	as	as	ADP
brj-24742	121	5	the	the	DET
brj-24742	121	6	final	final	ADJ
brj-24742	121	7	module	module	NOUN
brj-24742	121	8	of	of	ADP
brj-24742	121	9	the	the	DET
brj-24742	121	10	model	model	NOUN
brj-24742	121	11	,	,	PUNCT
brj-24742	121	12	introduces	introduce	VERB
brj-24742	121	13	a	a	DET
brj-24742	121	14	classification	classification	NOUN
brj-24742	121	15	head	head	NOUN
brj-24742	121	16	to	to	PART
brj-24742	121	17	map	map	VERB
brj-24742	121	18	the	the	DET
brj-24742	121	19	module	module	NOUN
brj-24742	121	20	’s	’s	PART
brj-24742	121	21	output	output	NOUN
brj-24742	121	22	to	to	ADP
brj-24742	121	23	the	the	DET
brj-24742	121	24	final	final	ADJ
brj-24742	121	25	class	class	NOUN
brj-24742	121	26	labels	label	NOUN
brj-24742	121	27	.	.	PUNCT
brj-24742	122	1	among	among	ADP
brj-24742	122	2	these	these	DET
brj-24742	122	3	components	component	NOUN
brj-24742	122	4	,	,	PUNCT
brj-24742	122	5	the	the	DET
brj-24742	122	6	stb	stb	NOUN
brj-24742	122	7	is	be	AUX
brj-24742	122	8	the	the	DET
brj-24742	122	9	core	core	NOUN
brj-24742	122	10	of	of	ADP
brj-24742	122	11	the	the	DET
brj-24742	122	12	model	model	NOUN
brj-24742	122	13	.	.	PUNCT
brj-24742	123	1	it	it	PRON
brj-24742	123	2	includes	include	VERB
brj-24742	123	3	layer	layer	NOUN
brj-24742	123	4	normalization	normalization	NOUN
brj-24742	123	5	(	(	PUNCT
brj-24742	123	6	ln	ln	ADJ
brj-24742	123	7	)	)	PUNCT
brj-24742	123	8	,	,	PUNCT
brj-24742	123	9	which	which	PRON
brj-24742	123	10	normalizes	normalize	VERB
brj-24742	123	11	the	the	DET
brj-24742	123	12	input	input	NOUN
brj-24742	123	13	,	,	PUNCT
brj-24742	123	14	and	and	CCONJ
brj-24742	123	15	window	window	NOUN
brj-24742	123	16	-	-	PUNCT
brj-24742	123	17	based	base	VERB
brj-24742	123	18	multi	multi	ADJ
brj-24742	123	19	-	-	ADJ
brj-24742	123	20	head	head	ADJ
brj-24742	123	21	self	self	NOUN
brj-24742	123	22	-	-	PUNCT
brj-24742	123	23	attention	attention	NOUN
brj-24742	123	24	(	(	PUNCT
brj-24742	123	25	w	w	NOUN
brj-24742	123	26	-	-	PUNCT
brj-24742	123	27	msa	msa	PROPN
brj-24742	123	28	)	)	PUNCT
brj-24742	123	29	,	,	PUNCT
brj-24742	123	30	which	which	PRON
brj-24742	123	31	applies	apply	VERB
brj-24742	123	32	multi	multi	ADJ
brj-24742	123	33	-	-	ADJ
brj-24742	123	34	head	head	ADJ
brj-24742	123	35	self	self	NOUN
brj-24742	123	36	-	-	PUNCT
brj-24742	123	37	attention	attention	NOUN
brj-24742	123	38	within	within	ADP
brj-24742	123	39	divided	divide	VERB
brj-24742	123	40	windows	window	NOUN
brj-24742	123	41	.	.	PUNCT
brj-24742	124	1	a	a	DET
brj-24742	124	2	multilayer	multilayer	ADJ
brj-24742	124	3	perceptron	perceptron	PROPN
brj-24742	124	4	(	(	PUNCT
brj-24742	124	5	mlp	mlp	NOUN
brj-24742	124	6	)	)	PUNCT
brj-24742	124	7	is	be	AUX
brj-24742	124	8	attached	attach	VERB
brj-24742	124	9	after	after	ADP
brj-24742	124	10	each	each	DET
brj-24742	124	11	attention	attention	NOUN
brj-24742	124	12	layer	layer	NOUN
brj-24742	124	13	.	.	PUNCT
brj-24742	125	1	shifted	shift	VERB
brj-24742	125	2	windowing	windowing	NOUN
brj-24742	125	3	is	be	AUX
brj-24742	125	4	employed	employ	VERB
brj-24742	125	5	to	to	PART
brj-24742	125	6	create	create	VERB
brj-24742	125	7	overlapping	overlap	VERB
brj-24742	125	8	windows	window	NOUN
brj-24742	125	9	by	by	ADP
brj-24742	125	10	shifting	shift	VERB
brj-24742	125	11	the	the	DET
brj-24742	125	12	window	window	NOUN
brj-24742	125	13	positions	position	NOUN
brj-24742	125	14	,	,	PUNCT
brj-24742	125	15	thereby	thereby	ADV
brj-24742	125	16	enhancing	enhance	VERB
brj-24742	125	17	cross	cross	ADJ
brj-24742	125	18	-	-	ADJ
brj-24742	125	19	window	window	ADJ
brj-24742	125	20	interactions	interaction	NOUN
brj-24742	125	21	while	while	SCONJ
brj-24742	125	22	reducing	reduce	VERB
brj-24742	125	23	computation	computation	NOUN
brj-24742	125	24	.	.	PUNCT
brj-24742	126	1	dropout	dropout	NOUN
brj-24742	126	2	is	be	AUX
brj-24742	126	3	used	use	VERB
brj-24742	126	4	for	for	ADP
brj-24742	126	5	regularization	regularization	NOUN
brj-24742	126	6	to	to	PART
brj-24742	126	7	prevent	prevent	VERB
brj-24742	126	8	overfitting	overfitting	NOUN
brj-24742	126	9	.	.	PUNCT
brj-24742	127	1	the	the	DET
brj-24742	127	2	specific	specific	ADJ
brj-24742	127	3	implementation	implementation	NOUN
brj-24742	127	4	is	be	AUX
brj-24742	127	5	illustrated	illustrate	VERB
brj-24742	127	6	in	in	ADP
brj-24742	127	7	fig	fig	NOUN
brj-24742	127	8	.	.	PUNCT
brj-24742	128	1	2(b	2(b	NUM
brj-24742	128	2	)	)	PUNCT
brj-24742	128	3	.	.	PUNCT
brj-24742	129	1	the	the	DET
brj-24742	129	2	swin	swin	PROPN
brj-24742	129	3	-	-	PUNCT
brj-24742	129	4	transformer	transformer	NOUN
brj-24742	129	5	receives	receive	VERB
brj-24742	129	6	a	a	DET
brj-24742	129	7	224px	224px	PROPN
brj-24742	129	8	×	×	PROPN
brj-24742	129	9	224px	224px	PROPN
brj-24742	129	10	,	,	PUNCT
brj-24742	129	11	3	3	NUM
brj-24742	129	12	-	-	PUNCT
brj-24742	129	13	channel	channel	NOUN
brj-24742	129	14	wood	wood	NOUN
brj-24742	129	15	cross	cross	NOUN
brj-24742	129	16	-	-	ADJ
brj-24742	129	17	section	section	ADJ
brj-24742	129	18	image	image	NOUN
brj-24742	129	19	as	as	ADP
brj-24742	129	20	input	input	NOUN
brj-24742	129	21	.	.	PUNCT
brj-24742	130	1	the	the	DET
brj-24742	130	2	component	component	NOUN
brj-24742	130	3	pp	pp	ADP
brj-24742	130	4	utilizes	utilize	VERB
brj-24742	130	5	3	3	NUM
brj-24742	130	6	-	-	PUNCT
brj-24742	130	7	channel	channel	NOUN
brj-24742	130	8	4px	4px	NOUN
brj-24742	130	9	×	×	PROPN
brj-24742	130	10	4px	4px	PROPN
brj-24742	130	11	non	non	ADJ
brj-24742	130	12	-	-	ADJ
brj-24742	130	13	overlapping	overlapping	ADJ
brj-24742	130	14	pixel	pixel	NOUN
brj-24742	130	15	blocks	block	NOUN
brj-24742	130	16	to	to	PART
brj-24742	130	17	divide	divide	VERB
brj-24742	130	18	the	the	DET
brj-24742	130	19	image	image	NOUN
brj-24742	130	20	into	into	ADP
brj-24742	130	21	56	56	NUM
brj-24742	130	22	×	×	NOUN
brj-24742	130	23	56	56	NUM
brj-24742	130	24	tokens	token	NOUN
brj-24742	130	25	.	.	PUNCT
brj-24742	131	1	these	these	DET
brj-24742	131	2	tokens	token	NOUN
brj-24742	131	3	are	be	AUX
brj-24742	131	4	generated	generate	VERB
brj-24742	131	5	by	by	ADP
brj-24742	131	6	transforming	transform	VERB
brj-24742	131	7	the	the	DET
brj-24742	131	8	4px	4px	ADJ
brj-24742	131	9	×	×	PROPN
brj-24742	131	10	4px	4px	PROPN
brj-24742	131	11	pixel	pixel	PROPN
brj-24742	131	12	blocks	block	NOUN
brj-24742	131	13	into	into	ADP
brj-24742	131	14	48	48	NUM
brj-24742	131	15	-	-	PUNCT
brj-24742	131	16	dimensional	dimensional	ADJ
brj-24742	131	17	vectors	vector	NOUN
brj-24742	131	18	,	,	PUNCT
brj-24742	131	19	with	with	ADP
brj-24742	131	20	each	each	DET
brj-24742	131	21	vector	vector	NOUN
brj-24742	131	22	corresponding	correspond	VERB
brj-24742	131	23	to	to	ADP
brj-24742	131	24	a	a	DET
brj-24742	131	25	1px	1px	ADJ
brj-24742	131	26	×	×	NOUN
brj-24742	131	27	1px	1px	ADJ
brj-24742	131	28	patch	patch	PROPN
brj-24742	131	29	’s	’s	PART
brj-24742	131	30	rgb	rgb	PROPN
brj-24742	131	31	channel	channel	PROPN
brj-24742	131	32	pixel	pixel	PROPN
brj-24742	131	33	values	value	NOUN
brj-24742	131	34	.	.	PUNCT
brj-24742	132	1	in	in	ADP
brj-24742	132	2	the	the	DET
brj-24742	132	3	first	first	ADJ
brj-24742	132	4	stage	stage	NOUN
brj-24742	132	5	,	,	PUNCT
brj-24742	132	6	the	the	DET
brj-24742	132	7	downsampling	downsample	VERB
brj-24742	132	8	module	module	NOUN
brj-24742	132	9	employs	employ	VERB
brj-24742	132	10	le	le	NOUN
brj-24742	132	11	to	to	PART
brj-24742	132	12	perform	perform	VERB
brj-24742	132	13	linear	linear	ADJ
brj-24742	132	14	transformations	transformation	NOUN
brj-24742	132	15	on	on	ADP
brj-24742	132	16	the	the	DET
brj-24742	132	17	image	image	NOUN
brj-24742	132	18	patches	patch	NOUN
brj-24742	132	19	after	after	ADP
brj-24742	132	20	partitioning	partition	VERB
brj-24742	132	21	,	,	PUNCT
brj-24742	132	22	mapping	map	VERB
brj-24742	132	23	them	they	PRON
brj-24742	132	24	into	into	ADP
brj-24742	132	25	a	a	DET
brj-24742	132	26	highdimensional	highdimensional	ADJ
brj-24742	132	27	feature	feature	NOUN
brj-24742	132	28	space	space	NOUN
brj-24742	132	29	,	,	PUNCT
brj-24742	132	30	producing	produce	VERB
brj-24742	132	31	feature	feature	NOUN
brj-24742	132	32	vectors	vector	NOUN
brj-24742	132	33	of	of	ADP
brj-24742	132	34	a	a	DET
brj-24742	132	35	certain	certain	ADJ
brj-24742	132	36	dimension	dimension	NOUN
brj-24742	132	37	.	.	PUNCT
brj-24742	133	1	this	this	PRON
brj-24742	133	2	allows	allow	VERB
brj-24742	133	3	the	the	DET
brj-24742	133	4	image	image	NOUN
brj-24742	133	5	patches	patch	VERB
brj-24742	133	6	to	to	PART
brj-24742	133	7	be	be	AUX
brj-24742	133	8	input	input	VERB
brj-24742	133	9	into	into	ADP
brj-24742	133	10	subsequent	subsequent	ADJ
brj-24742	133	11	transformer	transformer	NOUN
brj-24742	133	12	modules	module	NOUN
brj-24742	133	13	in	in	ADP
brj-24742	133	14	a	a	DET
brj-24742	133	15	more	more	ADV
brj-24742	133	16	abstract	abstract	ADJ
brj-24742	133	17	and	and	CCONJ
brj-24742	133	18	representative	representative	ADJ
brj-24742	133	19	form	form	NOUN
brj-24742	133	20	.	.	PUNCT
brj-24742	134	1	in	in	ADP
brj-24742	134	2	stages	stage	NOUN
brj-24742	134	3	2	2	NUM
brj-24742	134	4	to	to	ADP
brj-24742	134	5	4	4	NUM
brj-24742	134	6	,	,	PUNCT
brj-24742	134	7	pm	pm	NOUN
brj-24742	134	8	components	component	NOUN
brj-24742	134	9	are	be	AUX
brj-24742	134	10	used	use	VERB
brj-24742	134	11	to	to	PART
brj-24742	134	12	downsample	downsample	VERB
brj-24742	134	13	the	the	DET
brj-24742	134	14	feature	feature	NOUN
brj-24742	134	15	maps	map	NOUN
brj-24742	134	16	by	by	ADP
brj-24742	134	17	merging	merge	VERB
brj-24742	134	18	adjacent	adjacent	ADJ
brj-24742	134	19	patches	patch	NOUN
brj-24742	134	20	,	,	PUNCT
brj-24742	134	21	doubling	double	VERB
brj-24742	134	22	the	the	DET
brj-24742	134	23	channel	channel	NOUN
brj-24742	134	24	count	count	NOUN
brj-24742	134	25	to	to	PART
brj-24742	134	26	reduce	reduce	VERB
brj-24742	134	27	the	the	DET
brj-24742	134	28	feature	feature	NOUN
brj-24742	134	29	map	map	NOUN
brj-24742	134	30	size	size	NOUN
brj-24742	134	31	.	.	PUNCT
brj-24742	135	1	the	the	DET
brj-24742	135	2	output	output	NOUN
brj-24742	135	3	feature	feature	NOUN
brj-24742	135	4	map	map	NOUN
brj-24742	135	5	’s	’s	PART
brj-24742	135	6	width	width	NOUN
brj-24742	135	7	and	and	CCONJ
brj-24742	135	8	height	height	NOUN
brj-24742	135	9	are	be	AUX
brj-24742	135	10	reduced	reduce	VERB
brj-24742	135	11	to	to	ADP
brj-24742	135	12	half	half	PRON
brj-24742	135	13	of	of	ADP
brj-24742	135	14	their	their	PRON
brj-24742	135	15	original	original	ADJ
brj-24742	135	16	values	value	NOUN
brj-24742	135	17	,	,	PUNCT
brj-24742	135	18	peer	peer	NOUN
brj-24742	135	19	-	-	PUNCT
brj-24742	135	20	reviewed	review	VERB
brj-24742	135	21	article	article	NOUN
brj-24742	135	22	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24742	135	23	tian	tian	PROPN
brj-24742	135	24	et	et	PROPN
brj-24742	135	25	al	al	PROPN
brj-24742	135	26	.	.	PROPN
brj-24742	136	1	(	(	PUNCT
brj-24742	136	2	2026	2026	NUM
brj-24742	136	3	)	)	PUNCT
brj-24742	136	4	.	.	PUNCT
brj-24742	137	1	“	"	PUNCT
brj-24742	137	2	softwood	softwood	NOUN
brj-24742	137	3	classification	classification	NOUN
brj-24742	137	4	for	for	ADP
brj-24742	137	5	design	design	NOUN
brj-24742	137	6	,	,	PUNCT
brj-24742	137	7	”	"	PUNCT
brj-24742	137	8	bioresources	bioresource	NOUN
brj-24742	137	9	21(1	21(1	NUM
brj-24742	137	10	)	)	PUNCT
brj-24742	137	11	,	,	PUNCT
brj-24742	137	12	781	781	NUM
brj-24742	137	13	-	-	SYM
brj-24742	137	14	798	798	NUM
brj-24742	137	15	.	.	PUNCT
brj-24742	137	16	788	788	NUM
brj-24742	137	17	thereby	thereby	ADV
brj-24742	137	18	decreasing	decrease	VERB
brj-24742	137	19	the	the	DET
brj-24742	137	20	computational	computational	ADJ
brj-24742	137	21	complexity	complexity	NOUN
brj-24742	137	22	of	of	ADP
brj-24742	137	23	subsequent	subsequent	ADJ
brj-24742	137	24	layers	layer	NOUN
brj-24742	137	25	while	while	SCONJ
brj-24742	137	26	increasing	increase	VERB
brj-24742	137	27	the	the	DET
brj-24742	137	28	receptive	receptive	ADJ
brj-24742	137	29	field	field	NOUN
brj-24742	137	30	to	to	PART
brj-24742	137	31	capture	capture	VERB
brj-24742	137	32	global	global	ADJ
brj-24742	137	33	information	information	NOUN
brj-24742	137	34	.	.	PUNCT
brj-24742	138	1	the	the	DET
brj-24742	138	2	specific	specific	ADJ
brj-24742	138	3	process	process	NOUN
brj-24742	138	4	is	be	AUX
brj-24742	138	5	as	as	SCONJ
brj-24742	138	6	follows	follow	VERB
brj-24742	138	7	:	:	PUNCT
brj-24742	138	8	the	the	DET
brj-24742	138	9	initial	initial	ADJ
brj-24742	138	10	56	56	NUM
brj-24742	138	11	×	×	NOUN
brj-24742	138	12	56	56	NUM
brj-24742	138	13	×	×	NOUN
brj-24742	138	14	48	48	NUM
brj-24742	138	15	token	token	ADJ
brj-24742	138	16	sequence	sequence	NOUN
brj-24742	138	17	is	be	AUX
brj-24742	138	18	passed	pass	VERB
brj-24742	138	19	through	through	ADP
brj-24742	138	20	stage	stage	NOUN
brj-24742	138	21	1	1	NUM
brj-24742	138	22	,	,	PUNCT
brj-24742	138	23	which	which	PRON
brj-24742	138	24	includes	include	VERB
brj-24742	138	25	le	le	X
brj-24742	138	26	and	and	CCONJ
brj-24742	138	27	two	two	NUM
brj-24742	138	28	stbs	stbs	NOUN
brj-24742	138	29	,	,	PUNCT
brj-24742	138	30	outputting	output	VERB
brj-24742	138	31	a	a	DET
brj-24742	138	32	56	56	NUM
brj-24742	138	33	×	×	NOUN
brj-24742	138	34	56	56	NUM
brj-24742	138	35	×	×	NOUN
brj-24742	138	36	96	96	NUM
brj-24742	138	37	feature	feature	NOUN
brj-24742	138	38	map	map	NOUN
brj-24742	138	39	.	.	PUNCT
brj-24742	139	1	in	in	ADP
brj-24742	139	2	stage	stage	NOUN
brj-24742	139	3	2	2	NUM
brj-24742	139	4	,	,	PUNCT
brj-24742	139	5	which	which	PRON
brj-24742	139	6	includes	include	VERB
brj-24742	139	7	pm	pm	NOUN
brj-24742	139	8	and	and	CCONJ
brj-24742	139	9	two	two	NUM
brj-24742	139	10	stbs	stbs	NOUN
brj-24742	139	11	,	,	PUNCT
brj-24742	139	12	the	the	DET
brj-24742	139	13	output	output	NOUN
brj-24742	139	14	is	be	AUX
brj-24742	139	15	a	a	DET
brj-24742	139	16	28	28	NUM
brj-24742	139	17	×	×	NOUN
brj-24742	139	18	28	28	NUM
brj-24742	139	19	×	×	NOUN
brj-24742	139	20	192	192	NUM
brj-24742	139	21	feature	feature	NOUN
brj-24742	139	22	map	map	NOUN
brj-24742	139	23	.	.	PUNCT
brj-24742	140	1	in	in	ADP
brj-24742	140	2	stage	stage	NOUN
brj-24742	140	3	3	3	NUM
brj-24742	140	4	,	,	PUNCT
brj-24742	140	5	after	after	ADP
brj-24742	140	6	passing	pass	VERB
brj-24742	140	7	through	through	ADP
brj-24742	140	8	pm	pm	NOUN
brj-24742	140	9	and	and	CCONJ
brj-24742	140	10	six	six	NUM
brj-24742	140	11	stbs	stbs	NOUN
brj-24742	140	12	,	,	PUNCT
brj-24742	140	13	the	the	DET
brj-24742	140	14	output	output	NOUN
brj-24742	140	15	becomes	become	VERB
brj-24742	140	16	a	a	DET
brj-24742	140	17	14	14	NUM
brj-24742	140	18	×	×	NOUN
brj-24742	140	19	14	14	NUM
brj-24742	140	20	×	×	NOUN
brj-24742	140	21	384	384	NUM
brj-24742	140	22	feature	feature	NOUN
brj-24742	140	23	map	map	NOUN
brj-24742	140	24	.	.	PUNCT
brj-24742	141	1	finally	finally	ADV
brj-24742	141	2	,	,	PUNCT
brj-24742	141	3	stage	stage	NOUN
brj-24742	141	4	4	4	NUM
brj-24742	141	5	,	,	PUNCT
brj-24742	141	6	with	with	ADP
brj-24742	141	7	pm	pm	NOUN
brj-24742	141	8	and	and	CCONJ
brj-24742	141	9	two	two	NUM
brj-24742	141	10	stbs	stbs	NOUN
brj-24742	141	11	,	,	PUNCT
brj-24742	141	12	outputs	output	VERB
brj-24742	141	13	a	a	DET
brj-24742	141	14	7	7	NUM
brj-24742	141	15	×	×	NOUN
brj-24742	141	16	7	7	NUM
brj-24742	141	17	feature	feature	NOUN
brj-24742	141	18	map	map	NOUN
brj-24742	141	19	with	with	ADP
brj-24742	141	20	768	768	NUM
brj-24742	141	21	channels	channel	NOUN
brj-24742	141	22	.	.	PUNCT
brj-24742	142	1	the	the	DET
brj-24742	142	2	stb	stb	NOUN
brj-24742	142	3	serves	serve	VERB
brj-24742	142	4	as	as	ADP
brj-24742	142	5	the	the	DET
brj-24742	142	6	core	core	NOUN
brj-24742	142	7	of	of	ADP
brj-24742	142	8	the	the	DET
brj-24742	142	9	model	model	NOUN
brj-24742	142	10	and	and	CCONJ
brj-24742	142	11	undergoes	undergo	VERB
brj-24742	142	12	two	two	NUM
brj-24742	142	13	operations	operation	NOUN
brj-24742	142	14	to	to	PART
brj-24742	142	15	enhance	enhance	VERB
brj-24742	142	16	computational	computational	ADJ
brj-24742	142	17	efficiency	efficiency	NOUN
brj-24742	142	18	and	and	CCONJ
brj-24742	142	19	feature	feature	NOUN
brj-24742	142	20	extraction	extraction	NOUN
brj-24742	142	21	capacity	capacity	NOUN
brj-24742	142	22	.	.	PUNCT
brj-24742	143	1	in	in	ADP
brj-24742	143	2	the	the	DET
brj-24742	143	3	first	first	ADJ
brj-24742	143	4	stb	stb	NOUN
brj-24742	143	5	,	,	PUNCT
brj-24742	143	6	the	the	DET
brj-24742	143	7	input	input	NOUN
brj-24742	143	8	feature	feature	NOUN
brj-24742	143	9	map	map	NOUN
brj-24742	143	10	is	be	AUX
brj-24742	143	11	embedded	embed	VERB
brj-24742	143	12	into	into	ADP
brj-24742	143	13	the	the	DET
brj-24742	143	14	le	le	NOUN
brj-24742	143	15	via	via	ADP
brj-24742	143	16	linear	linear	PROPN
brj-24742	143	17	projection	projection	NOUN
brj-24742	143	18	.	.	PUNCT
brj-24742	144	1	after	after	ADP
brj-24742	144	2	embedding	embed	VERB
brj-24742	144	3	,	,	PUNCT
brj-24742	144	4	the	the	DET
brj-24742	144	5	high	high	ADV
brj-24742	144	6	-	-	PUNCT
brj-24742	144	7	dimensional	dimensional	ADJ
brj-24742	144	8	image	image	NOUN
brj-24742	144	9	blocks	block	NOUN
brj-24742	144	10	are	be	AUX
brj-24742	144	11	normalized	normalize	VERB
brj-24742	144	12	by	by	ADP
brj-24742	144	13	ln	ln	ADJ
brj-24742	144	14	and	and	CCONJ
brj-24742	144	15	input	input	NOUN
brj-24742	144	16	into	into	ADP
brj-24742	144	17	the	the	DET
brj-24742	144	18	w	w	PROPN
brj-24742	144	19	-	-	PUNCT
brj-24742	144	20	msa	msa	PROPN
brj-24742	144	21	module	module	NOUN
brj-24742	144	22	,	,	PUNCT
brj-24742	144	23	which	which	PRON
brj-24742	144	24	computes	compute	VERB
brj-24742	144	25	self	self	NOUN
brj-24742	144	26	-	-	PUNCT
brj-24742	144	27	attention	attention	NOUN
brj-24742	144	28	over	over	ADP
brj-24742	144	29	the	the	DET
brj-24742	144	30	window	window	NOUN
brj-24742	144	31	regions	region	NOUN
brj-24742	144	32	of	of	ADP
brj-24742	144	33	the	the	DET
brj-24742	144	34	input	input	NOUN
brj-24742	144	35	feature	feature	NOUN
brj-24742	144	36	map	map	NOUN
brj-24742	144	37	.	.	PUNCT
brj-24742	145	1	the	the	DET
brj-24742	145	2	output	output	NOUN
brj-24742	145	3	is	be	AUX
brj-24742	145	4	then	then	ADV
brj-24742	145	5	combined	combine	VERB
brj-24742	145	6	with	with	ADP
brj-24742	145	7	the	the	DET
brj-24742	145	8	input	input	NOUN
brj-24742	145	9	through	through	ADP
brj-24742	145	10	residual	residual	ADJ
brj-24742	145	11	skip	skip	ADJ
brj-24742	145	12	connections	connection	NOUN
brj-24742	145	13	.	.	PUNCT
brj-24742	146	1	after	after	ADP
brj-24742	146	2	ln	ln	ADJ
brj-24742	146	3	normalization	normalization	NOUN
brj-24742	146	4	and	and	CCONJ
brj-24742	146	5	processing	processing	NOUN
brj-24742	146	6	by	by	ADP
brj-24742	146	7	a	a	DET
brj-24742	146	8	mlp	mlp	NOUN
brj-24742	146	9	,	,	PUNCT
brj-24742	146	10	the	the	DET
brj-24742	146	11	resulting	result	VERB
brj-24742	146	12	feature	feature	NOUN
brj-24742	146	13	map	map	NOUN
brj-24742	146	14	is	be	AUX
brj-24742	146	15	added	add	VERB
brj-24742	146	16	to	to	ADP
brj-24742	146	17	the	the	DET
brj-24742	146	18	original	original	ADJ
brj-24742	146	19	input	input	NOUN
brj-24742	146	20	,	,	PUNCT
brj-24742	146	21	producing	produce	VERB
brj-24742	146	22	the	the	DET
brj-24742	146	23	output	output	NOUN
brj-24742	146	24	feature	feature	NOUN
brj-24742	146	25	map	map	NOUN
brj-24742	146	26	.	.	PUNCT
brj-24742	147	1	the	the	DET
brj-24742	147	2	second	second	ADJ
brj-24742	147	3	stb	stb	NOUN
brj-24742	147	4	is	be	AUX
brj-24742	147	5	similar	similar	ADJ
brj-24742	147	6	to	to	ADP
brj-24742	147	7	the	the	DET
brj-24742	147	8	first	first	ADJ
brj-24742	147	9	,	,	PUNCT
brj-24742	147	10	with	with	ADP
brj-24742	147	11	the	the	DET
brj-24742	147	12	only	only	ADJ
brj-24742	147	13	change	change	NOUN
brj-24742	147	14	being	be	AUX
brj-24742	147	15	the	the	DET
brj-24742	147	16	replacement	replacement	NOUN
brj-24742	147	17	of	of	ADP
brj-24742	147	18	the	the	DET
brj-24742	147	19	w	w	PROPN
brj-24742	147	20	-	-	PUNCT
brj-24742	147	21	msa	msa	PROPN
brj-24742	147	22	module	module	NOUN
brj-24742	147	23	with	with	ADP
brj-24742	147	24	the	the	DET
brj-24742	147	25	sliding	slide	VERB
brj-24742	147	26	window	window	NOUN
brj-24742	147	27	multi	multi	ADJ
brj-24742	147	28	-	-	ADJ
brj-24742	147	29	head	head	ADJ
brj-24742	147	30	self	self	NOUN
brj-24742	147	31	-	-	PUNCT
brj-24742	147	32	attention	attention	NOUN
brj-24742	147	33	(	(	PUNCT
brj-24742	147	34	sw	sw	PROPN
brj-24742	147	35	-	-	PUNCT
brj-24742	147	36	msa	msa	PROPN
brj-24742	147	37	)	)	PUNCT
brj-24742	147	38	module	module	NOUN
brj-24742	147	39	,	,	PUNCT
brj-24742	147	40	which	which	PRON
brj-24742	147	41	calculates	calculate	VERB
brj-24742	147	42	selfattention	selfattention	NOUN
brj-24742	147	43	within	within	ADP
brj-24742	147	44	the	the	DET
brj-24742	147	45	sliding	slide	VERB
brj-24742	147	46	window	window	NOUN
brj-24742	147	47	to	to	PART
brj-24742	147	48	enhance	enhance	VERB
brj-24742	147	49	inter	inter	ADJ
brj-24742	147	50	-	-	ADJ
brj-24742	147	51	window	window	ADJ
brj-24742	147	52	information	information	NOUN
brj-24742	147	53	interaction	interaction	NOUN
brj-24742	147	54	.	.	PUNCT
brj-24742	148	1	other	other	ADJ
brj-24742	148	2	structural	structural	ADJ
brj-24742	148	3	components	component	NOUN
brj-24742	148	4	and	and	CCONJ
brj-24742	148	5	processing	processing	NOUN
brj-24742	148	6	orders	order	NOUN
brj-24742	148	7	remain	remain	VERB
brj-24742	148	8	unchanged	unchanged	ADJ
brj-24742	148	9	.	.	PUNCT
brj-24742	149	1	the	the	DET
brj-24742	149	2	alternating	alternating	NOUN
brj-24742	149	3	wmsa	wmsa	NOUN
brj-24742	149	4	and	and	CCONJ
brj-24742	149	5	sw	sw	PROPN
brj-24742	149	6	-	-	PUNCT
brj-24742	149	7	msa	msa	PROPN
brj-24742	149	8	modules	module	NOUN
brj-24742	149	9	in	in	ADP
brj-24742	149	10	this	this	DET
brj-24742	149	11	design	design	NOUN
brj-24742	149	12	facilitate	facilitate	NOUN
brj-24742	149	13	both	both	CCONJ
brj-24742	149	14	local	local	ADJ
brj-24742	149	15	and	and	CCONJ
brj-24742	149	16	global	global	ADJ
brj-24742	149	17	information	information	NOUN
brj-24742	149	18	interaction	interaction	NOUN
brj-24742	149	19	within	within	ADP
brj-24742	149	20	the	the	DET
brj-24742	149	21	model	model	NOUN
brj-24742	149	22	.	.	PUNCT
brj-24742	150	1	the	the	DET
brj-24742	150	2	feature	feature	NOUN
brj-24742	150	3	map	map	NOUN
brj-24742	150	4	output	output	NOUN
brj-24742	150	5	from	from	ADP
brj-24742	150	6	the	the	DET
brj-24742	150	7	model	model	NOUN
brj-24742	150	8	contains	contain	VERB
brj-24742	150	9	the	the	DET
brj-24742	150	10	key	key	ADJ
brj-24742	150	11	feature	feature	NOUN
brj-24742	150	12	matrix	matrix	NOUN
brj-24742	150	13	of	of	ADP
brj-24742	150	14	tree	tree	NOUN
brj-24742	150	15	species	specie	NOUN
brj-24742	150	16	,	,	PUNCT
brj-24742	150	17	serving	serve	VERB
brj-24742	150	18	as	as	ADP
brj-24742	150	19	input	input	NOUN
brj-24742	150	20	to	to	ADP
brj-24742	150	21	the	the	DET
brj-24742	150	22	classification	classification	NOUN
brj-24742	150	23	module	module	NOUN
brj-24742	150	24	‘	'	PUNCT
brj-24742	150	25	classify	classify	VERB
brj-24742	150	26	output	output	NOUN
brj-24742	150	27	’	'	PUNCT
brj-24742	150	28	for	for	ADP
brj-24742	150	29	wood	wood	NOUN
brj-24742	150	30	species	specie	NOUN
brj-24742	150	31	prediction	prediction	NOUN
brj-24742	150	32	,	,	PUNCT
brj-24742	150	33	as	as	SCONJ
brj-24742	150	34	shown	show	VERB
brj-24742	150	35	in	in	ADP
brj-24742	150	36	fig	fig	NOUN
brj-24742	150	37	.	.	PUNCT
brj-24742	151	1	2(c	2(c	NUM
brj-24742	151	2	)	)	PUNCT
brj-24742	151	3	.	.	PUNCT
brj-24742	152	1	the	the	DET
brj-24742	152	2	ln	ln	ADJ
brj-24742	152	3	processes	process	VERB
brj-24742	152	4	the	the	DET
brj-24742	152	5	feature	feature	NOUN
brj-24742	152	6	map	map	NOUN
brj-24742	152	7	according	accord	VERB
brj-24742	152	8	to	to	ADP
brj-24742	152	9	eq	eq	NOUN
brj-24742	152	10	.	.	PROPN
brj-24742	152	11	1	1	X
brj-24742	152	12	.	.	X
brj-24742	152	13	global	global	ADJ
brj-24742	152	14	average	average	ADJ
brj-24742	152	15	pooling	pooling	NOUN
brj-24742	152	16	(	(	PUNCT
brj-24742	152	17	avgpool	avgpool	PROPN
brj-24742	152	18	)	)	PUNCT
brj-24742	152	19	operates	operate	VERB
brj-24742	152	20	on	on	ADP
brj-24742	152	21	the	the	DET
brj-24742	152	22	768	768	NUM
brj-24742	152	23	-	-	PUNCT
brj-24742	152	24	channel	channel	NOUN
brj-24742	152	25	7	7	NUM
brj-24742	152	26	×	×	NOUN
brj-24742	152	27	7	7	NUM
brj-24742	152	28	feature	feature	NOUN
brj-24742	152	29	map	map	NOUN
brj-24742	152	30	as	as	SCONJ
brj-24742	152	31	defined	define	VERB
brj-24742	152	32	in	in	ADP
brj-24742	152	33	eq	eq	ADJ
brj-24742	152	34	.	.	PROPN
brj-24742	153	1	2	2	X
brj-24742	153	2	.	.	PUNCT
brj-24742	153	3	the	the	DET
brj-24742	153	4	768	768	NUM
brj-24742	153	5	-	-	PUNCT
brj-24742	153	6	channel	channel	NOUN
brj-24742	153	7	1	1	NUM
brj-24742	153	8	×	×	NOUN
brj-24742	153	9	1	1	NUM
brj-24742	153	10	feature	feature	NOUN
brj-24742	153	11	map	map	NOUN
brj-24742	153	12	is	be	AUX
brj-24742	153	13	flattened	flatten	VERB
brj-24742	153	14	into	into	ADP
brj-24742	153	15	a	a	DET
brj-24742	153	16	1	1	NUM
brj-24742	153	17	-	-	PUNCT
brj-24742	153	18	dimensional	dimensional	ADJ
brj-24742	153	19	vector	vector	NOUN
brj-24742	153	20	of	of	ADP
brj-24742	153	21	length	length	NOUN
brj-24742	153	22	768	768	NUM
brj-24742	153	23	,	,	PUNCT
brj-24742	153	24	which	which	PRON
brj-24742	153	25	is	be	AUX
brj-24742	153	26	fed	feed	VERB
brj-24742	153	27	into	into	ADP
brj-24742	153	28	the	the	DET
brj-24742	153	29	linear	linear	ADJ
brj-24742	153	30	classifier	classifier	NOUN
brj-24742	153	31	.	.	PUNCT
brj-24742	154	1	the	the	DET
brj-24742	154	2	outputs	outputs	PROPN
brj-24742	154	3	p1	p1	PROPN
brj-24742	154	4	,	,	PUNCT
brj-24742	154	5	p2	p2	NOUN
brj-24742	154	6	,	,	PUNCT
brj-24742	154	7	p3	p3	PROPN
brj-24742	154	8	...	...	PUNCT
brj-24742	154	9	p36	p36	NOUN
brj-24742	154	10	represent	represent	VERB
brj-24742	154	11	the	the	DET
brj-24742	154	12	class	class	NOUN
brj-24742	154	13	probabilities	probability	NOUN
brj-24742	154	14	for	for	ADP
brj-24742	154	15	each	each	DET
brj-24742	154	16	wood	wood	NOUN
brj-24742	154	17	species	specie	NOUN
brj-24742	154	18	.	.	PUNCT
brj-24742	155	1	equations	equation	NOUN
brj-24742	155	2	1	1	NUM
brj-24742	155	3	and	and	CCONJ
brj-24742	155	4	2	2	NUM
brj-24742	155	5	are	be	AUX
brj-24742	155	6	as	as	SCONJ
brj-24742	155	7	follows	follow	VERB
brj-24742	155	8	:	:	PUNCT
brj-24742	155	9	(	(	PUNCT
brj-24742	155	10	)	)	PUNCT
brj-24742	155	11	,	,	PUNCT
brj-24742	155	12	,	,	PUNCT
brj-24742	155	13	,	,	PUNCT
brj-24742	155	14	,	,	PUNCT
brj-24742	155	15	,	,	PUNCT
brj-24742	155	16	2	2	NUM
brj-24742	155	17	,	,	PUNCT
brj-24742	156	1	c	c	NOUN
brj-24742	156	2	h	h	NOUN
brj-24742	157	1	w	w	PROPN
brj-24742	157	2	h	h	PROPN
brj-24742	157	3	w	w	PROPN
brj-24742	157	4	c	c	PROPN
brj-24742	157	5	h	h	NOUN
brj-24742	158	1	w	w	NOUN
brj-24742	158	2	c	c	NOUN
brj-24742	159	1	c	c	NOUN
brj-24742	159	2	h	h	NOUN
brj-24742	159	3	w	w	NOUN
brj-24742	159	4	x	x	X
brj-24742	159	5	ln	ln	ADJ
brj-24742	159	6	x	x	NOUN
brj-24742	159	7			NOUN
brj-24742	159	8			NUM
brj-24742	159	9			PROPN
brj-24742	159	10			PROPN
brj-24742	159	11			PROPN
brj-24742	159	12	−	−	NOUN
brj-24742	159	13	=	=	SYM
brj-24742	159	14			PROPN
brj-24742	159	15	+	+	CCONJ
brj-24742	159	16	+	+	CCONJ
brj-24742	159	17	(	(	PUNCT
brj-24742	159	18	1	1	NUM
brj-24742	159	19	)	)	PUNCT
brj-24742	159	20	1	1	NUM
brj-24742	159	21	1	1	NUM
brj-24742	159	22	,	,	PUNCT
brj-24742	159	23	,	,	PUNCT
brj-24742	159	24	0	0	NUM
brj-24742	159	25	0	0	NUM
brj-24742	160	1	h	h	NOUN
brj-24742	160	2	w	w	NOUN
brj-24742	160	3	c	c	NOUN
brj-24742	161	1	i	i	PRON
brj-24742	161	2	j	j	PROPN
brj-24742	162	1	i	i	PRON
brj-24742	162	2	j	j	PROPN
brj-24742	163	1	c	c	NOUN
brj-24742	163	2	x	x	SYM
brj-24742	163	3	avgpool	avgpool	NOUN
brj-24742	163	4	h	h	PROPN
brj-24742	163	5	w	w	NOUN
brj-24742	163	6	−	−	NOUN
brj-24742	163	7	−	−	NOUN
brj-24742	164	1	=	=	SYM
brj-24742	164	2	=	=	PUNCT
brj-24742	164	3	=	=	PUNCT
brj-24742	164	4			NUM
brj-24742	164	5			NOUN
brj-24742	164	6	(	(	PUNCT
brj-24742	164	7	2	2	X
brj-24742	164	8	)	)	PUNCT
brj-24742	164	9	experimental	experimental	ADJ
brj-24742	164	10	environment	environment	NOUN
brj-24742	164	11	and	and	CCONJ
brj-24742	164	12	evaluation	evaluation	NOUN
brj-24742	164	13	index	index	NOUN
brj-24742	164	14	a	a	DET
brj-24742	164	15	high	high	ADJ
brj-24742	164	16	-	-	PUNCT
brj-24742	164	17	performance	performance	NOUN
brj-24742	164	18	computing	computing	NOUN
brj-24742	164	19	system	system	NOUN
brj-24742	164	20	was	be	AUX
brj-24742	164	21	employed	employ	VERB
brj-24742	164	22	for	for	ADP
brj-24742	164	23	wood	wood	NOUN
brj-24742	164	24	image	image	NOUN
brj-24742	164	25	classification	classification	NOUN
brj-24742	164	26	tasks	task	NOUN
brj-24742	164	27	,	,	PUNCT
brj-24742	164	28	configured	configure	VERB
brj-24742	164	29	with	with	ADP
brj-24742	164	30	the	the	DET
brj-24742	164	31	following	follow	VERB
brj-24742	164	32	specifications	specification	NOUN
brj-24742	164	33	:	:	PUNCT
brj-24742	164	34	central	central	ADJ
brj-24742	164	35	processing	processing	NOUN
brj-24742	164	36	unit	unit	NOUN
brj-24742	164	37	(	(	PUNCT
brj-24742	164	38	cpu	cpu	PROPN
brj-24742	164	39	):	):	PUNCT
brj-24742	164	40	13th	13th	ADJ
brj-24742	164	41	gen	gen	PROPN
brj-24742	164	42	intel	intel	PROPN
brj-24742	164	43	®	®	NOUN
brj-24742	164	44	core	core	NOUN
brj-24742	164	45	™	™	VERB
brj-24742	164	46	i9	i9	NOUN
brj-24742	164	47	-	-	PUNCT
brj-24742	164	48	13900hx	13900hx	NOUN
brj-24742	164	49	(	(	PUNCT
brj-24742	164	50	2.20	2.20	NUM
brj-24742	164	51	ghz	ghz	NOUN
brj-24742	164	52	)	)	PUNCT
brj-24742	164	53	;	;	PUNCT
brj-24742	164	54	memory	memory	NOUN
brj-24742	164	55	:	:	PUNCT
brj-24742	164	56	32	32	NUM
brj-24742	164	57	gb	gb	NOUN
brj-24742	164	58	ram	ram	NOUN
brj-24742	164	59	;	;	PUNCT
brj-24742	164	60	graphics	graphic	NOUN
brj-24742	164	61	processing	processing	NOUN
brj-24742	164	62	unit	unit	NOUN
brj-24742	164	63	(	(	PUNCT
brj-24742	164	64	gpu	gpu	PROPN
brj-24742	164	65	):	):	PUNCT
brj-24742	164	66	nvidia	nvidia	PROPN
brj-24742	164	67	geforce	geforce	NOUN
brj-24742	164	68	rtx	rtx	PROPN
brj-24742	164	69	4080	4080	NUM
brj-24742	164	70	with	with	ADP
brj-24742	164	71	16	16	NUM
brj-24742	164	72	gb	gb	NOUN
brj-24742	164	73	gddr6x	gddr6x	PROPN
brj-24742	164	74	vram	vram	NOUN
brj-24742	164	75	,	,	PUNCT
brj-24742	164	76	featuring	feature	VERB
brj-24742	164	77	9,728	9,728	NUM
brj-24742	164	78	compute	compute	NOUN
brj-24742	164	79	unified	unified	ADJ
brj-24742	164	80	device	device	NOUN
brj-24742	164	81	architecture	architecture	NOUN
brj-24742	164	82	(	(	PUNCT
brj-24742	164	83	cuda	cuda	NOUN
brj-24742	164	84	)	)	PUNCT
brj-24742	164	85	cores	core	NOUN
brj-24742	164	86	.	.	PUNCT
brj-24742	165	1	the	the	DET
brj-24742	165	2	system	system	NOUN
brj-24742	165	3	operated	operate	VERB
brj-24742	165	4	on	on	ADP
brj-24742	165	5	microsoft	microsoft	PROPN
brj-24742	165	6	windows	windows	PROPN
brj-24742	165	7	11	11	NUM
brj-24742	165	8	,	,	PUNCT
brj-24742	165	9	utilizing	utilize	VERB
brj-24742	165	10	the	the	DET
brj-24742	165	11	pycharm	pycharm	NOUN
brj-24742	165	12	integrated	integrate	VERB
brj-24742	165	13	development	development	NOUN
brj-24742	165	14	environment	environment	NOUN
brj-24742	165	15	.	.	PUNCT
brj-24742	166	1	the	the	DET
brj-24742	166	2	classification	classification	NOUN
brj-24742	166	3	framework	framework	NOUN
brj-24742	166	4	was	be	AUX
brj-24742	166	5	implemented	implement	VERB
brj-24742	166	6	in	in	ADP
brj-24742	166	7	python	python	NOUN
brj-24742	166	8	3.9	3.9	NUM
brj-24742	166	9	,	,	PUNCT
brj-24742	166	10	leveraging	leverage	VERB
brj-24742	166	11	pytorch	pytorch	NOUN
brj-24742	166	12	2.0.1	2.0.1	NUM
brj-24742	166	13	and	and	CCONJ
brj-24742	166	14	cuda	cuda	NOUN
brj-24742	166	15	toolkit	toolkit	NOUN
brj-24742	166	16	v11.8	v11.8	PRON
brj-24742	166	17	for	for	ADP
brj-24742	166	18	deep	deep	ADJ
brj-24742	166	19	learning	learning	NOUN
brj-24742	166	20	model	model	NOUN
brj-24742	166	21	training	training	NOUN
brj-24742	166	22	and	and	CCONJ
brj-24742	166	23	inference	inference	NOUN
brj-24742	166	24	.	.	PUNCT
brj-24742	167	1	to	to	PART
brj-24742	167	2	evaluate	evaluate	VERB
brj-24742	167	3	the	the	DET
brj-24742	167	4	performance	performance	NOUN
brj-24742	167	5	of	of	ADP
brj-24742	167	6	the	the	DET
brj-24742	167	7	wood	wood	NOUN
brj-24742	167	8	species	species	NOUN
brj-24742	167	9	recognition	recognition	NOUN
brj-24742	167	10	models	model	NOUN
brj-24742	167	11	,	,	PUNCT
brj-24742	167	12	the	the	DET
brj-24742	167	13	following	follow	VERB
brj-24742	167	14	metrics	metric	NOUN
brj-24742	167	15	were	be	AUX
brj-24742	167	16	used	use	VERB
brj-24742	167	17	:	:	PUNCT
brj-24742	167	18	accuracy	accuracy	NOUN
brj-24742	167	19	,	,	PUNCT
brj-24742	167	20	precision	precision	NOUN
brj-24742	167	21	,	,	PUNCT
brj-24742	167	22	recall	recall	NOUN
brj-24742	167	23	,	,	PUNCT
brj-24742	167	24	and	and	CCONJ
brj-24742	167	25	f1	f1	PROPN
brj-24742	167	26	score	score	NOUN
brj-24742	167	27	.	.	PUNCT
brj-24742	168	1	accuracy	accuracy	NOUN
brj-24742	168	2	reflects	reflect	VERB
brj-24742	168	3	the	the	DET
brj-24742	168	4	model	model	NOUN
brj-24742	168	5	’s	’s	PART
brj-24742	168	6	overall	overall	ADJ
brj-24742	168	7	ability	ability	NOUN
brj-24742	168	8	to	to	PART
brj-24742	168	9	correctly	correctly	ADV
brj-24742	168	10	identify	identify	VERB
brj-24742	168	11	wood	wood	NOUN
brj-24742	168	12	species	specie	NOUN
brj-24742	168	13	and	and	CCONJ
brj-24742	168	14	is	be	AUX
brj-24742	168	15	an	an	DET
brj-24742	168	16	important	important	ADJ
brj-24742	168	17	evaluation	evaluation	NOUN
brj-24742	168	18	metric	metric	NOUN
brj-24742	168	19	for	for	ADP
brj-24742	168	20	the	the	DET
brj-24742	168	21	recognition	recognition	NOUN
brj-24742	168	22	capability	capability	NOUN
brj-24742	168	23	of	of	ADP
brj-24742	168	24	the	the	DET
brj-24742	168	25	model	model	NOUN
brj-24742	168	26	,	,	PUNCT
brj-24742	168	27	especially	especially	ADV
brj-24742	168	28	for	for	ADP
brj-24742	168	29	identifying	identify	VERB
brj-24742	168	30	unknown	unknown	ADJ
brj-24742	168	31	peer	peer	NOUN
brj-24742	168	32	-	-	PUNCT
brj-24742	168	33	reviewed	review	VERB
brj-24742	168	34	article	article	NOUN
brj-24742	168	35	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24742	168	36	tian	tian	PROPN
brj-24742	168	37	et	et	PROPN
brj-24742	168	38	al	al	PROPN
brj-24742	168	39	.	.	PROPN
brj-24742	169	1	(	(	PUNCT
brj-24742	169	2	2026	2026	NUM
brj-24742	169	3	)	)	PUNCT
brj-24742	169	4	.	.	PUNCT
brj-24742	170	1	“	"	PUNCT
brj-24742	170	2	softwood	softwood	NOUN
brj-24742	170	3	classification	classification	NOUN
brj-24742	170	4	for	for	ADP
brj-24742	170	5	design	design	NOUN
brj-24742	170	6	,	,	PUNCT
brj-24742	170	7	”	"	PUNCT
brj-24742	170	8	bioresources	bioresource	NOUN
brj-24742	170	9	21(1	21(1	NUM
brj-24742	170	10	)	)	PUNCT
brj-24742	170	11	,	,	PUNCT
brj-24742	170	12	781	781	NUM
brj-24742	170	13	-	-	SYM
brj-24742	170	14	798	798	NUM
brj-24742	170	15	.	.	PUNCT
brj-24742	170	16	789	789	NUM
brj-24742	170	17	species	specie	NOUN
brj-24742	170	18	.	.	PUNCT
brj-24742	171	1	precision	precision	NOUN
brj-24742	171	2	refers	refer	VERB
brj-24742	171	3	to	to	ADP
brj-24742	171	4	the	the	DET
brj-24742	171	5	proportion	proportion	NOUN
brj-24742	171	6	of	of	ADP
brj-24742	171	7	samples	sample	NOUN
brj-24742	171	8	predicted	predict	VERB
brj-24742	171	9	as	as	ADP
brj-24742	171	10	positive	positive	ADJ
brj-24742	171	11	that	that	PRON
brj-24742	171	12	are	be	AUX
brj-24742	171	13	actually	actually	ADV
brj-24742	171	14	positive	positive	ADJ
brj-24742	171	15	,	,	PUNCT
brj-24742	171	16	which	which	PRON
brj-24742	171	17	measures	measure	VERB
brj-24742	171	18	the	the	DET
brj-24742	171	19	accuracy	accuracy	NOUN
brj-24742	171	20	of	of	ADP
brj-24742	171	21	the	the	DET
brj-24742	171	22	model	model	NOUN
brj-24742	171	23	when	when	SCONJ
brj-24742	171	24	predicting	predict	VERB
brj-24742	171	25	a	a	DET
brj-24742	171	26	particular	particular	ADJ
brj-24742	171	27	tree	tree	NOUN
brj-24742	171	28	species	specie	NOUN
brj-24742	171	29	category	category	NOUN
brj-24742	171	30	.	.	PUNCT
brj-24742	172	1	this	this	DET
brj-24742	172	2	metric	metric	NOUN
brj-24742	172	3	is	be	AUX
brj-24742	172	4	particularly	particularly	ADV
brj-24742	172	5	important	important	ADJ
brj-24742	172	6	for	for	ADP
brj-24742	172	7	the	the	DET
brj-24742	172	8	correct	correct	ADJ
brj-24742	172	9	identification	identification	NOUN
brj-24742	172	10	of	of	ADP
brj-24742	172	11	softwood	softwood	NOUN
brj-24742	172	12	species	specie	NOUN
brj-24742	172	13	.	.	PUNCT
brj-24742	173	1	recall	recall	PROPN
brj-24742	173	2	indicates	indicate	VERB
brj-24742	173	3	the	the	DET
brj-24742	173	4	proportion	proportion	NOUN
brj-24742	173	5	of	of	ADP
brj-24742	173	6	actual	actual	ADJ
brj-24742	173	7	positive	positive	ADJ
brj-24742	173	8	samples	sample	NOUN
brj-24742	173	9	that	that	PRON
brj-24742	173	10	the	the	DET
brj-24742	173	11	model	model	NOUN
brj-24742	173	12	correctly	correctly	ADV
brj-24742	173	13	identifies	identify	VERB
brj-24742	173	14	,	,	PUNCT
brj-24742	173	15	and	and	CCONJ
brj-24742	173	16	it	it	PRON
brj-24742	173	17	assesses	assess	VERB
brj-24742	173	18	the	the	DET
brj-24742	173	19	model	model	NOUN
brj-24742	173	20	’s	’s	PART
brj-24742	173	21	ability	ability	NOUN
brj-24742	173	22	to	to	PART
brj-24742	173	23	recognize	recognize	VERB
brj-24742	173	24	all	all	DET
brj-24742	173	25	actual	actual	ADJ
brj-24742	173	26	positive	positive	ADJ
brj-24742	173	27	samples	sample	NOUN
brj-24742	173	28	,	,	PUNCT
brj-24742	173	29	serving	serve	VERB
brj-24742	173	30	as	as	ADP
brj-24742	173	31	a	a	DET
brj-24742	173	32	key	key	ADJ
brj-24742	173	33	metric	metric	NOUN
brj-24742	173	34	for	for	ADP
brj-24742	173	35	evaluating	evaluate	VERB
brj-24742	173	36	model	model	NOUN
brj-24742	173	37	sensitivity	sensitivity	NOUN
brj-24742	173	38	.	.	PUNCT
brj-24742	174	1	the	the	DET
brj-24742	174	2	f1	f1	PROPN
brj-24742	174	3	score	score	NOUN
brj-24742	174	4	is	be	AUX
brj-24742	174	5	the	the	DET
brj-24742	174	6	harmonic	harmonic	ADJ
brj-24742	174	7	mean	mean	NOUN
brj-24742	174	8	of	of	ADP
brj-24742	174	9	precision	precision	NOUN
brj-24742	174	10	and	and	CCONJ
brj-24742	174	11	recall	recall	NOUN
brj-24742	174	12	,	,	PUNCT
brj-24742	174	13	offering	offer	VERB
brj-24742	174	14	a	a	DET
brj-24742	174	15	more	more	ADV
brj-24742	174	16	comprehensive	comprehensive	ADJ
brj-24742	174	17	performance	performance	NOUN
brj-24742	174	18	evaluation	evaluation	NOUN
brj-24742	174	19	,	,	PUNCT
brj-24742	174	20	especially	especially	ADV
brj-24742	174	21	in	in	ADP
brj-24742	174	22	the	the	DET
brj-24742	174	23	context	context	NOUN
brj-24742	174	24	of	of	ADP
brj-24742	174	25	the	the	DET
brj-24742	174	26	complexity	complexity	NOUN
brj-24742	174	27	and	and	CCONJ
brj-24742	174	28	imbalance	imbalance	NOUN
brj-24742	174	29	of	of	ADP
brj-24742	174	30	wood	wood	NOUN
brj-24742	174	31	species	specie	NOUN
brj-24742	174	32	classification	classification	NOUN
brj-24742	174	33	.	.	PUNCT
brj-24742	175	1	equations	equation	NOUN
brj-24742	175	2	3	3	NUM
brj-24742	175	3	through	through	ADP
brj-24742	175	4	6	6	NUM
brj-24742	175	5	are	be	AUX
brj-24742	175	6	as	as	SCONJ
brj-24742	175	7	follows	follow	VERB
brj-24742	175	8	:	:	PUNCT
brj-24742	176	1	tp	tp	PART
brj-24742	176	2	tn	tn	NOUN
brj-24742	176	3	accurancy	accurancy	NOUN
brj-24742	176	4	tp	tp	ADP
brj-24742	176	5	tn	tn	PROPN
brj-24742	176	6	fp	fp	PROPN
brj-24742	176	7	fn	fn	NOUN
brj-24742	177	1	+	+	NOUN
brj-24742	177	2	=	=	PUNCT
brj-24742	178	1	+	+	PUNCT
brj-24742	178	2	+	+	PUNCT
brj-24742	178	3	+	+	CCONJ
brj-24742	178	4	(	(	PUNCT
brj-24742	178	5	3	3	X
brj-24742	178	6	)	)	PUNCT
brj-24742	178	7	tp	tp	AUX
brj-24742	178	8	precision	precision	NOUN
brj-24742	178	9	tp	tp	ADP
brj-24742	178	10	fp	fp	PROPN
brj-24742	178	11	=	=	PUNCT
brj-24742	179	1	+	+	CCONJ
brj-24742	179	2	(	(	PUNCT
brj-24742	179	3	4	4	X
brj-24742	179	4	)	)	PUNCT
brj-24742	179	5	tp	tp	PART
brj-24742	179	6	recall	recall	VERB
brj-24742	179	7	tp	tp	ADP
brj-24742	179	8	fn	fn	NOUN
brj-24742	179	9	=	=	PUNCT
brj-24742	180	1	+	+	CCONJ
brj-24742	180	2	(	(	PUNCT
brj-24742	180	3	5	5	NUM
brj-24742	180	4	)	)	SYM
brj-24742	180	5	1	1	NUM
brj-24742	180	6	2precision	2precision	NUM
brj-24742	180	7	recall	recall	NOUN
brj-24742	180	8	f	f	PROPN
brj-24742	180	9	score	score	NOUN
brj-24742	180	10	precision	precision	NOUN
brj-24742	180	11	recall	recall	NOUN
brj-24742	180	12			PROPN
brj-24742	181	1	=	=	PROPN
brj-24742	182	1	+	+	CCONJ
brj-24742	182	2	(	(	PUNCT
brj-24742	182	3	6	6	NUM
brj-24742	182	4	)	)	PUNCT
brj-24742	182	5	the	the	DET
brj-24742	182	6	tp	tp	NOUN
brj-24742	182	7	denotes	denote	VERB
brj-24742	182	8	the	the	DET
brj-24742	182	9	number	number	NOUN
brj-24742	182	10	of	of	ADP
brj-24742	182	11	samples	sample	NOUN
brj-24742	182	12	where	where	SCONJ
brj-24742	182	13	the	the	DET
brj-24742	182	14	model	model	NOUN
brj-24742	182	15	predicts	predict	VERB
brj-24742	182	16	a	a	DET
brj-24742	182	17	positive	positive	ADJ
brj-24742	182	18	class	class	NOUN
brj-24742	182	19	and	and	CCONJ
brj-24742	182	20	the	the	DET
brj-24742	182	21	actual	actual	ADJ
brj-24742	182	22	class	class	NOUN
brj-24742	182	23	is	be	AUX
brj-24742	182	24	also	also	ADV
brj-24742	182	25	positive	positive	ADJ
brj-24742	182	26	,	,	PUNCT
brj-24742	182	27	indicating	indicate	VERB
brj-24742	182	28	the	the	DET
brj-24742	182	29	number	number	NOUN
brj-24742	182	30	of	of	ADP
brj-24742	182	31	correctly	correctly	ADV
brj-24742	182	32	identified	identify	VERB
brj-24742	182	33	wood	wood	NOUN
brj-24742	182	34	species	specie	NOUN
brj-24742	182	35	.	.	PUNCT
brj-24742	183	1	the	the	DET
brj-24742	183	2	fp	fp	PROPN
brj-24742	183	3	refers	refer	VERB
brj-24742	183	4	to	to	ADP
brj-24742	183	5	the	the	DET
brj-24742	183	6	number	number	NOUN
brj-24742	183	7	of	of	ADP
brj-24742	183	8	samples	sample	NOUN
brj-24742	183	9	where	where	SCONJ
brj-24742	183	10	the	the	DET
brj-24742	183	11	model	model	NOUN
brj-24742	183	12	predicts	predict	VERB
brj-24742	183	13	a	a	DET
brj-24742	183	14	positive	positive	ADJ
brj-24742	183	15	class	class	NOUN
brj-24742	183	16	but	but	CCONJ
brj-24742	183	17	the	the	DET
brj-24742	183	18	actual	actual	ADJ
brj-24742	183	19	class	class	NOUN
brj-24742	183	20	is	be	AUX
brj-24742	183	21	negative	negative	ADJ
brj-24742	183	22	,	,	PUNCT
brj-24742	183	23	indicating	indicate	VERB
brj-24742	183	24	that	that	SCONJ
brj-24742	183	25	samples	sample	NOUN
brj-24742	183	26	of	of	ADP
brj-24742	183	27	other	other	ADJ
brj-24742	183	28	wood	wood	NOUN
brj-24742	183	29	species	specie	NOUN
brj-24742	183	30	are	be	AUX
brj-24742	183	31	misclassified	misclassifie	VERB
brj-24742	183	32	as	as	ADP
brj-24742	183	33	the	the	DET
brj-24742	183	34	target	target	NOUN
brj-24742	183	35	wood	wood	NOUN
brj-24742	183	36	species	specie	NOUN
brj-24742	183	37	.	.	PUNCT
brj-24742	184	1	the	the	DET
brj-24742	184	2	tn	tn	NOUN
brj-24742	184	3	represents	represent	VERB
brj-24742	184	4	the	the	DET
brj-24742	184	5	number	number	NOUN
brj-24742	184	6	of	of	ADP
brj-24742	184	7	samples	sample	NOUN
brj-24742	184	8	where	where	SCONJ
brj-24742	184	9	the	the	DET
brj-24742	184	10	model	model	NOUN
brj-24742	184	11	predicts	predict	VERB
brj-24742	184	12	a	a	DET
brj-24742	184	13	negative	negative	ADJ
brj-24742	184	14	class	class	NOUN
brj-24742	184	15	and	and	CCONJ
brj-24742	184	16	the	the	DET
brj-24742	184	17	actual	actual	ADJ
brj-24742	184	18	class	class	NOUN
brj-24742	184	19	is	be	AUX
brj-24742	184	20	also	also	ADV
brj-24742	184	21	negative	negative	ADJ
brj-24742	184	22	,	,	PUNCT
brj-24742	184	23	meaning	mean	VERB
brj-24742	184	24	that	that	SCONJ
brj-24742	184	25	samples	sample	NOUN
brj-24742	184	26	of	of	ADP
brj-24742	184	27	non	non	ADJ
brj-24742	184	28	-	-	ADJ
brj-24742	184	29	target	target	ADJ
brj-24742	184	30	wood	wood	NOUN
brj-24742	184	31	species	specie	NOUN
brj-24742	184	32	are	be	AUX
brj-24742	184	33	correctly	correctly	ADV
brj-24742	184	34	identified	identify	VERB
brj-24742	184	35	as	as	ADP
brj-24742	184	36	non	non	NOUN
brj-24742	184	37	-	-	NOUN
brj-24742	184	38	target	target	NOUN
brj-24742	184	39	.	.	PUNCT
brj-24742	185	1	the	the	DET
brj-24742	185	2	fn	fn	NOUN
brj-24742	185	3	signifies	signify	VERB
brj-24742	185	4	the	the	DET
brj-24742	185	5	number	number	NOUN
brj-24742	185	6	of	of	ADP
brj-24742	185	7	samples	sample	NOUN
brj-24742	185	8	where	where	SCONJ
brj-24742	185	9	the	the	DET
brj-24742	185	10	model	model	NOUN
brj-24742	185	11	predicts	predict	VERB
brj-24742	185	12	a	a	DET
brj-24742	185	13	negative	negative	ADJ
brj-24742	185	14	class	class	NOUN
brj-24742	185	15	but	but	CCONJ
brj-24742	185	16	the	the	DET
brj-24742	185	17	actual	actual	ADJ
brj-24742	185	18	class	class	NOUN
brj-24742	185	19	is	be	AUX
brj-24742	185	20	positive	positive	ADJ
brj-24742	185	21	,	,	PUNCT
brj-24742	185	22	i.e.	i.e.	X
brj-24742	185	23	,	,	PUNCT
brj-24742	185	24	samples	sample	NOUN
brj-24742	185	25	of	of	ADP
brj-24742	185	26	the	the	DET
brj-24742	185	27	target	target	NOUN
brj-24742	185	28	wood	wood	NOUN
brj-24742	185	29	species	specie	NOUN
brj-24742	185	30	are	be	AUX
brj-24742	185	31	misclassified	misclassifie	VERB
brj-24742	185	32	as	as	ADP
brj-24742	185	33	other	other	ADJ
brj-24742	185	34	wood	wood	NOUN
brj-24742	185	35	species	specie	NOUN
brj-24742	185	36	.	.	PUNCT
brj-24742	186	1	results	result	NOUN
brj-24742	186	2	and	and	CCONJ
brj-24742	186	3	discussion	discussion	VERB
brj-24742	186	4	the	the	DET
brj-24742	186	5	dataset	dataset	NOUN
brj-24742	186	6	consisting	consist	VERB
brj-24742	186	7	of	of	ADP
brj-24742	186	8	36	36	NUM
brj-24742	186	9	cross	cross	ADJ
brj-24742	186	10	-	-	ADJ
brj-24742	186	11	sectional	sectional	ADJ
brj-24742	186	12	images	image	NOUN
brj-24742	186	13	of	of	ADP
brj-24742	186	14	softwood	softwood	NOUN
brj-24742	186	15	species	specie	NOUN
brj-24742	186	16	was	be	AUX
brj-24742	186	17	used	use	VERB
brj-24742	186	18	to	to	PART
brj-24742	186	19	train	train	VERB
brj-24742	186	20	11	11	NUM
brj-24742	186	21	deep	deep	ADJ
brj-24742	186	22	learning	learning	NOUN
brj-24742	186	23	models	model	NOUN
brj-24742	186	24	:	:	PUNCT
brj-24742	186	25	vgg16	vgg16	PROPN
brj-24742	186	26	,	,	PUNCT
brj-24742	186	27	vgg19	vgg19	PROPN
brj-24742	186	28	,	,	PUNCT
brj-24742	186	29	googlenet	googlenet	NOUN
brj-24742	186	30	,	,	PUNCT
brj-24742	186	31	resnet34	resnet34	NOUN
brj-24742	186	32	,	,	PUNCT
brj-24742	186	33	convnext	convnext	NOUN
brj-24742	186	34	,	,	PUNCT
brj-24742	186	35	starnet	starnet	NOUN
brj-24742	186	36	-	-	PUNCT
brj-24742	186	37	base	base	NOUN
brj-24742	186	38	,	,	PUNCT
brj-24742	186	39	starnet	starnet	NOUN
brj-24742	186	40	-	-	PUNCT
brj-24742	186	41	improved	improve	VERB
brj-24742	186	42	,	,	PUNCT
brj-24742	186	43	efficientnet	efficientnet	NOUN
brj-24742	186	44	,	,	PUNCT
brj-24742	186	45	efficientnetv2	efficientnetv2	NOUN
brj-24742	186	46	,	,	PUNCT
brj-24742	186	47	vit	vit	NOUN
brj-24742	186	48	,	,	PUNCT
brj-24742	186	49	and	and	CCONJ
brj-24742	186	50	swintransformer	swintransformer	NOUN
brj-24742	186	51	.	.	PUNCT
brj-24742	187	1	the	the	DET
brj-24742	187	2	training	training	NOUN
brj-24742	187	3	set	set	NOUN
brj-24742	187	4	was	be	AUX
brj-24742	187	5	employed	employ	VERB
brj-24742	187	6	to	to	PART
brj-24742	187	7	optimize	optimize	VERB
brj-24742	187	8	the	the	DET
brj-24742	187	9	model	model	NOUN
brj-24742	187	10	weights	weight	NOUN
brj-24742	187	11	,	,	PUNCT
brj-24742	187	12	while	while	SCONJ
brj-24742	187	13	the	the	DET
brj-24742	187	14	test	test	NOUN
brj-24742	187	15	set	set	NOUN
brj-24742	187	16	was	be	AUX
brj-24742	187	17	used	use	VERB
brj-24742	187	18	to	to	PART
brj-24742	187	19	evaluate	evaluate	VERB
brj-24742	187	20	the	the	DET
brj-24742	187	21	species	species	NOUN
brj-24742	187	22	classification	classification	NOUN
brj-24742	187	23	ability	ability	NOUN
brj-24742	187	24	of	of	ADP
brj-24742	187	25	the	the	DET
brj-24742	187	26	models	model	NOUN
brj-24742	187	27	.	.	PUNCT
brj-24742	188	1	all	all	DET
brj-24742	188	2	models	model	NOUN
brj-24742	188	3	adopt	adopt	VERB
brj-24742	188	4	the	the	DET
brj-24742	188	5	adam	adam	PROPN
brj-24742	188	6	optimizer	optimizer	NOUN
brj-24742	188	7	,	,	PUNCT
brj-24742	188	8	with	with	ADP
brj-24742	188	9	the	the	DET
brj-24742	188	10	learning	learning	NOUN
brj-24742	188	11	rate	rate	NOUN
brj-24742	188	12	set	set	VERB
brj-24742	188	13	to	to	ADP
brj-24742	188	14	0.0001	0.0001	NUM
brj-24742	188	15	and	and	CCONJ
brj-24742	188	16	the	the	DET
brj-24742	188	17	batch	batch	NOUN
brj-24742	188	18	size	size	NOUN
brj-24742	188	19	set	set	VERB
brj-24742	188	20	to	to	ADP
brj-24742	188	21	32	32	NUM
brj-24742	188	22	.	.	PUNCT
brj-24742	189	1	the	the	DET
brj-24742	189	2	experiment	experiment	NOUN
brj-24742	189	3	was	be	AUX
brj-24742	189	4	conducted	conduct	VERB
brj-24742	189	5	over	over	ADP
brj-24742	189	6	200	200	NUM
brj-24742	189	7	iterations	iteration	NOUN
brj-24742	189	8	,	,	PUNCT
brj-24742	189	9	yielding	yield	VERB
brj-24742	189	10	training	training	NOUN
brj-24742	189	11	curves	curve	NOUN
brj-24742	189	12	,	,	PUNCT
brj-24742	189	13	accuracy	accuracy	NOUN
brj-24742	189	14	,	,	PUNCT
brj-24742	189	15	and	and	CCONJ
brj-24742	189	16	loss	loss	NOUN
brj-24742	189	17	values	value	NOUN
brj-24742	189	18	.	.	PUNCT
brj-24742	190	1	from	from	ADP
brj-24742	190	2	fig	fig	NOUN
brj-24742	190	3	.	.	PUNCT
brj-24742	190	4	3(a	3(a	NUM
brj-24742	190	5	)	)	PUNCT
brj-24742	190	6	,	,	PUNCT
brj-24742	190	7	it	it	PRON
brj-24742	190	8	can	can	AUX
brj-24742	190	9	be	be	AUX
brj-24742	190	10	observed	observe	VERB
brj-24742	190	11	that	that	SCONJ
brj-24742	190	12	,	,	PUNCT
brj-24742	190	13	except	except	SCONJ
brj-24742	190	14	for	for	ADP
brj-24742	190	15	starnet	starnet	NOUN
brj-24742	190	16	-	-	PUNCT
brj-24742	190	17	base	base	NOUN
brj-24742	190	18	and	and	CCONJ
brj-24742	190	19	starnetimproved	starnetimprove	VERB
brj-24742	190	20	,	,	PUNCT
brj-24742	190	21	which	which	PRON
brj-24742	190	22	exhibited	exhibit	VERB
brj-24742	190	23	substantial	substantial	ADJ
brj-24742	190	24	fluctuations	fluctuation	NOUN
brj-24742	190	25	before	before	ADP
brj-24742	190	26	the	the	DET
brj-24742	190	27	25th	25th	ADJ
brj-24742	190	28	iteration	iteration	NOUN
brj-24742	190	29	,	,	PUNCT
brj-24742	190	30	all	all	DET
brj-24742	190	31	other	other	ADJ
brj-24742	190	32	models	model	NOUN
brj-24742	190	33	demonstrated	demonstrate	VERB
brj-24742	190	34	only	only	ADV
brj-24742	190	35	minor	minor	ADJ
brj-24742	190	36	fluctuations	fluctuation	NOUN
brj-24742	190	37	during	during	ADP
brj-24742	190	38	the	the	DET
brj-24742	190	39	early	early	ADJ
brj-24742	190	40	stages	stage	NOUN
brj-24742	190	41	of	of	ADP
brj-24742	190	42	training	training	NOUN
brj-24742	190	43	.	.	PUNCT
brj-24742	191	1	peer	peer	NOUN
brj-24742	191	2	-	-	PUNCT
brj-24742	191	3	reviewed	review	VERB
brj-24742	191	4	article	article	NOUN
brj-24742	191	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24742	191	6	tian	tian	PROPN
brj-24742	191	7	et	et	PROPN
brj-24742	191	8	al	al	PROPN
brj-24742	191	9	.	.	PROPN
brj-24742	192	1	(	(	PUNCT
brj-24742	192	2	2026	2026	NUM
brj-24742	192	3	)	)	PUNCT
brj-24742	192	4	.	.	PUNCT
brj-24742	193	1	“	"	PUNCT
brj-24742	193	2	softwood	softwood	NOUN
brj-24742	193	3	classification	classification	NOUN
brj-24742	193	4	for	for	ADP
brj-24742	193	5	design	design	NOUN
brj-24742	193	6	,	,	PUNCT
brj-24742	193	7	”	"	PUNCT
brj-24742	193	8	bioresources	bioresource	NOUN
brj-24742	193	9	21(1	21(1	NUM
brj-24742	193	10	)	)	PUNCT
brj-24742	193	11	,	,	PUNCT
brj-24742	193	12	781	781	NUM
brj-24742	193	13	-	-	SYM
brj-24742	193	14	798	798	NUM
brj-24742	193	15	.	.	PUNCT
brj-24742	194	1	790	790	NUM
brj-24742	194	2	(	(	PUNCT
brj-24742	194	3	a	a	NOUN
brj-24742	194	4	)	)	PUNCT
brj-24742	194	5	loss	loss	NOUN
brj-24742	194	6	curve	curve	NOUN
brj-24742	194	7	(	(	PUNCT
brj-24742	194	8	b	b	NOUN
brj-24742	194	9	)	)	PUNCT
brj-24742	194	10	accuracy	accuracy	NOUN
brj-24742	194	11	curve	curve	NOUN
brj-24742	194	12	fig	fig	NOUN
brj-24742	194	13	.	.	PUNCT
brj-24742	195	1	3	3	X
brj-24742	195	2	.	.	X
brj-24742	195	3	training	training	NOUN
brj-24742	195	4	loss	loss	NOUN
brj-24742	195	5	and	and	CCONJ
brj-24742	195	6	accuracy	accuracy	NOUN
brj-24742	195	7	curves	curve	NOUN
brj-24742	195	8	for	for	ADP
brj-24742	195	9	each	each	DET
brj-24742	195	10	classification	classification	NOUN
brj-24742	195	11	model	model	NOUN
brj-24742	195	12	table	table	NOUN
brj-24742	195	13	2	2	NUM
brj-24742	195	14	.	.	PUNCT
brj-24742	196	1	the	the	DET
brj-24742	196	2	performance	performance	NOUN
brj-24742	196	3	indicator	indicator	NOUN
brj-24742	196	4	for	for	ADP
brj-24742	196	5	11	11	NUM
brj-24742	196	6	models	model	NOUN
brj-24742	196	7	no	no	DET
brj-24742	196	8	model	model	NOUN
brj-24742	196	9	name	name	NOUN
brj-24742	196	10	input	input	NOUN
brj-24742	196	11	size	size	NOUN
brj-24742	196	12	best	good	ADJ
brj-24742	196	13	accuracy	accuracy	NOUN
brj-24742	196	14	training	training	NOUN
brj-24742	196	15	time	time	NOUN
brj-24742	196	16	(	(	PUNCT
brj-24742	196	17	s	s	NOUN
brj-24742	196	18	)	)	PUNCT
brj-24742	196	19	prediction	prediction	NOUN
brj-24742	196	20	time	time	NOUN
brj-24742	196	21	(	(	PUNCT
brj-24742	196	22	ms	ms	NOUN
brj-24742	196	23	)	)	PUNCT
brj-24742	196	24	#	#	SYM
brj-24742	196	25	params	param	NOUN
brj-24742	196	26	(	(	PUNCT
brj-24742	196	27	m	m	NOUN
brj-24742	196	28	)	)	PUNCT
brj-24742	196	29	#	#	SYM
brj-24742	196	30	flops	flop	NOUN
brj-24742	196	31	(	(	PUNCT
brj-24742	196	32	g	g	NOUN
brj-24742	196	33	)	)	PUNCT
brj-24742	196	34	1	1	NUM
brj-24742	196	35	swintransformer	swintransformer	NOUN
brj-24742	196	36	;	;	PUNCT
brj-24742	196	37	(	(	PUNCT
brj-24742	196	38	liu	liu	PROPN
brj-24742	196	39	et	et	PROPN
brj-24742	196	40	al	al	PROPN
brj-24742	196	41	.	.	PROPN
brj-24742	196	42	2021	2021	NUM
brj-24742	196	43	)	)	PUNCT
brj-24742	196	44	224	224	NUM
brj-24742	196	45	×	×	NOUN
brj-24742	196	46	224	224	NUM
brj-24742	196	47	99.97	99.97	NUM
brj-24742	196	48	%	%	NOUN
brj-24742	196	49	1.826	1.826	NUM
brj-24742	196	50	×	×	NOUN
brj-24742	196	51	104	104	NUM
brj-24742	196	52	154.69	154.69	NUM
brj-24742	196	53	27.55	27.55	NUM
brj-24742	196	54	4.38	4.38	NUM
brj-24742	196	55	2	2	NUM
brj-24742	196	56	efficientnetv2	efficientnetv2	NOUN
brj-24742	196	57	;	;	PUNCT
brj-24742	196	58	(	(	PUNCT
brj-24742	196	59	tan	tan	NOUN
brj-24742	196	60	et	et	PROPN
brj-24742	196	61	al	al	PROPN
brj-24742	196	62	.	.	PROPN
brj-24742	196	63	2021	2021	NUM
brj-24742	196	64	)	)	PUNCT
brj-24742	196	65	224	224	NUM
brj-24742	196	66	×	×	NOUN
brj-24742	196	67	224	224	NUM
brj-24742	196	68	99.94	99.94	NUM
brj-24742	196	69	%	%	NOUN
brj-24742	196	70	2.919	2.919	NUM
brj-24742	196	71	×	×	NOUN
brj-24742	196	72	104	104	NUM
brj-24742	196	73	143.13	143.13	NUM
brj-24742	196	74	20.22	20.22	NUM
brj-24742	196	75	2.88	2.88	NUM
brj-24742	196	76	3	3	NUM
brj-24742	196	77	vit	vit	NOUN
brj-24742	196	78	;	;	PUNCT
brj-24742	196	79	(	(	PUNCT
brj-24742	196	80	dosovitskiy	dosovitskiy	NOUN
brj-24742	196	81	et	et	PROPN
brj-24742	196	82	al	al	PROPN
brj-24742	196	83	.	.	PROPN
brj-24742	196	84	2021	2021	NUM
brj-24742	196	85	)	)	PUNCT
brj-24742	196	86	224	224	NUM
brj-24742	196	87	×	×	NOUN
brj-24742	196	88	224	224	NUM
brj-24742	196	89	99.88	99.88	NUM
brj-24742	196	90	%	%	NOUN
brj-24742	196	91	3.568	3.568	NUM
brj-24742	196	92	×	×	NOUN
brj-24742	196	93	104	104	NUM
brj-24742	196	94	206.77	206.77	NUM
brj-24742	196	95	86.42	86.42	NUM
brj-24742	196	96	16.88	16.88	NUM
brj-24742	196	97	4	4	NUM
brj-24742	196	98	efficientnet	efficientnet	NOUN
brj-24742	196	99	;	;	PUNCT
brj-24742	196	100	(	(	PUNCT
brj-24742	196	101	tan	tan	NOUN
brj-24742	196	102	et	et	PROPN
brj-24742	196	103	al	al	PROPN
brj-24742	196	104	.	.	PROPN
brj-24742	196	105	2019	2019	NUM
brj-24742	196	106	)	)	PUNCT
brj-24742	196	107	224	224	NUM
brj-24742	196	108	×	×	NOUN
brj-24742	196	109	224	224	NUM
brj-24742	196	110	99.79	99.79	NUM
brj-24742	196	111	%	%	NOUN
brj-24742	196	112	1.130	1.130	NUM
brj-24742	196	113	×	×	NOUN
brj-24742	196	114	104	104	NUM
brj-24742	196	115	123.44	123.44	NUM
brj-24742	196	116	4.05	4.05	NUM
brj-24742	196	117	0.41	0.41	NUM
brj-24742	196	118	5	5	NUM
brj-24742	196	119	googlenet	googlenet	NOUN
brj-24742	196	120	;	;	PUNCT
brj-24742	196	121	(	(	PUNCT
brj-24742	196	122	szegedy	szegedy	VERB
brj-24742	196	123	et	et	PROPN
brj-24742	196	124	al	al	PROPN
brj-24742	196	125	.	.	PROPN
brj-24742	196	126	2015	2015	NUM
brj-24742	196	127	)	)	PUNCT
brj-24742	196	128	224	224	NUM
brj-24742	196	129	×	×	NOUN
brj-24742	196	130	224	224	NUM
brj-24742	196	131	99.73	99.73	NUM
brj-24742	196	132	%	%	NOUN
brj-24742	196	133	1.828	1.828	NUM
brj-24742	196	134	×	×	NOUN
brj-24742	196	135	104	104	NUM
brj-24742	196	136	121.88	121.88	NUM
brj-24742	196	137	10.41	10.41	NUM
brj-24742	196	138	1.6	1.6	NUM
brj-24742	196	139	6	6	NUM
brj-24742	196	140	resnet	resnet	NOUN
brj-24742	196	141	;	;	PUNCT
brj-24742	196	142	(	(	PUNCT
brj-24742	196	143	he	he	PRON
brj-24742	196	144	et	et	PROPN
brj-24742	196	145	al	al	PROPN
brj-24742	196	146	.	.	PROPN
brj-24742	196	147	2015	2015	NUM
brj-24742	196	148	)	)	PUNCT
brj-24742	196	149	224	224	NUM
brj-24742	196	150	×	×	NOUN
brj-24742	196	151	224	224	NUM
brj-24742	196	152	99.71	99.71	NUM
brj-24742	196	153	%	%	NOUN
brj-24742	196	154	1.542	1.542	NUM
brj-24742	196	155	×	×	NOUN
brj-24742	196	156	104	104	NUM
brj-24742	196	157	118.44	118.44	NUM
brj-24742	196	158	21.3	21.3	NUM
brj-24742	196	159	3.68	3.68	NUM
brj-24742	196	160	7	7	NUM
brj-24742	196	161	starnet	starnet	NOUN
brj-24742	196	162	-	-	PUNCT
brj-24742	196	163	improved	improve	VERB
brj-24742	196	164	224	224	NUM
brj-24742	196	165	×	×	NOUN
brj-24742	196	166	224	224	NUM
brj-24742	196	167	97.35	97.35	NUM
brj-24742	196	168	%	%	NOUN
brj-24742	196	169	1.024	1.024	NUM
brj-24742	196	170	×	×	NOUN
brj-24742	196	171	104	104	NUM
brj-24742	196	172	112.92	112.92	NUM
brj-24742	196	173	3.45	3.45	NUM
brj-24742	196	174	0.43	0.43	NUM
brj-24742	196	175	8	8	NUM
brj-24742	196	176	starnet	starnet	NOUN
brj-24742	196	177	-	-	PUNCT
brj-24742	196	178	base	base	NOUN
brj-24742	196	179	;	;	PUNCT
brj-24742	196	180	(	(	PUNCT
brj-24742	196	181	ma	ma	PROPN
brj-24742	196	182	et	et	PROPN
brj-24742	196	183	al	al	PROPN
brj-24742	196	184	.	.	PROPN
brj-24742	196	185	2024	2024	NUM
brj-24742	196	186	)	)	PUNCT
brj-24742	196	187	224	224	NUM
brj-24742	196	188	×	×	NOUN
brj-24742	196	189	224	224	NUM
brj-24742	196	190	92.67	92.67	NUM
brj-24742	196	191	%	%	NOUN
brj-24742	196	192	0.940	0.940	NUM
brj-24742	196	193	×	×	NOUN
brj-24742	196	194	104	104	NUM
brj-24742	196	195	110.83	110.83	NUM
brj-24742	196	196	2.68	2.68	NUM
brj-24742	196	197	0.43	0.43	NUM
brj-24742	196	198	9	9	NUM
brj-24742	196	199	vgg16	vgg16	NOUN
brj-24742	196	200	;	;	PUNCT
brj-24742	196	201	(	(	PUNCT
brj-24742	196	202	simonyan	simonyan	PROPN
brj-24742	196	203	et	et	PROPN
brj-24742	196	204	al	al	PROPN
brj-24742	196	205	.	.	PROPN
brj-24742	196	206	2015	2015	NUM
brj-24742	196	207	)	)	PUNCT
brj-24742	196	208	224	224	NUM
brj-24742	196	209	×	×	NOUN
brj-24742	196	210	224	224	NUM
brj-24742	196	211	89.55	89.55	NUM
brj-24742	196	212	%	%	NOUN
brj-24742	196	213	2.387	2.387	NUM
brj-24742	196	214	×	×	NOUN
brj-24742	196	215	104	104	NUM
brj-24742	196	216	151.25	151.25	NUM
brj-24742	196	217	134.41	134.41	NUM
brj-24742	196	218	15.52	15.52	NUM
brj-24742	196	219	10	10	NUM
brj-24742	196	220	vgg19	vgg19	NOUN
brj-24742	196	221	;	;	PUNCT
brj-24742	196	222	(	(	PUNCT
brj-24742	196	223	simonyan	simonyan	PROPN
brj-24742	196	224	et	et	PROPN
brj-24742	196	225	al	al	PROPN
brj-24742	196	226	.	.	PROPN
brj-24742	196	227	2015	2015	NUM
brj-24742	196	228	)	)	PUNCT
brj-24742	196	229	224	224	NUM
brj-24742	196	230	×	×	NOUN
brj-24742	196	231	224	224	NUM
brj-24742	196	232	71.99	71.99	NUM
brj-24742	196	233	%	%	NOUN
brj-24742	196	234	2.749	2.749	NUM
brj-24742	196	235	×	×	NOUN
brj-24742	196	236	104	104	NUM
brj-24742	196	237	167.29	167.29	NUM
brj-24742	196	238	139.72	139.72	NUM
brj-24742	196	239	19.68	19.68	NUM
brj-24742	196	240	11	11	NUM
brj-24742	196	241	convnext	convnext	NOUN
brj-24742	196	242	;	;	PUNCT
brj-24742	196	243	(	(	PUNCT
brj-24742	196	244	liu	liu	PROPN
brj-24742	196	245	et	et	PROPN
brj-24742	196	246	al	al	PROPN
brj-24742	196	247	.	.	PROPN
brj-24742	196	248	2022	2022	NUM
brj-24742	196	249	)	)	PUNCT
brj-24742	196	250	224	224	NUM
brj-24742	196	251	×	×	NOUN
brj-24742	196	252	224	224	NUM
brj-24742	196	253	56.36	56.36	NUM
brj-24742	196	254	%	%	NOUN
brj-24742	196	255	2.567	2.567	NUM
brj-24742	196	256	×	×	NOUN
brj-24742	196	257	104	104	NUM
brj-24742	196	258	130.73	130.73	NUM
brj-24742	196	259	27.85	27.85	NUM
brj-24742	196	260	4.49	4.49	NUM
brj-24742	196	261	after	after	ADP
brj-24742	196	262	the	the	DET
brj-24742	196	263	50th	50th	ADJ
brj-24742	196	264	iteration	iteration	NOUN
brj-24742	196	265	,	,	PUNCT
brj-24742	196	266	the	the	DET
brj-24742	196	267	loss	loss	NOUN
brj-24742	196	268	values	value	NOUN
brj-24742	196	269	of	of	ADP
brj-24742	196	270	all	all	DET
brj-24742	196	271	models	model	NOUN
brj-24742	196	272	stabilized	stabilize	VERB
brj-24742	196	273	and	and	CCONJ
brj-24742	196	274	approached	approach	VERB
brj-24742	196	275	zero	zero	NUM
brj-24742	196	276	,	,	PUNCT
brj-24742	196	277	indicating	indicate	VERB
brj-24742	196	278	fast	fast	ADJ
brj-24742	196	279	convergence	convergence	NOUN
brj-24742	196	280	and	and	CCONJ
brj-24742	196	281	strong	strong	ADJ
brj-24742	196	282	performance	performance	NOUN
brj-24742	196	283	.	.	PUNCT
brj-24742	197	1	figure	figure	NOUN
brj-24742	197	2	3(b	3(b	NUM
brj-24742	197	3	)	)	PUNCT
brj-24742	197	4	presents	present	VERB
brj-24742	197	5	the	the	DET
brj-24742	197	6	classification	classification	NOUN
brj-24742	197	7	accuracy	accuracy	NOUN
brj-24742	197	8	of	of	ADP
brj-24742	197	9	the	the	DET
brj-24742	197	10	11	11	NUM
brj-24742	197	11	models	model	NOUN
brj-24742	197	12	.	.	PUNCT
brj-24742	198	1	vgg19	vgg19	PROPN
brj-24742	198	2	and	and	CCONJ
brj-24742	198	3	convnext	convnext	PROPN
brj-24742	198	4	achieved	achieve	VERB
brj-24742	198	5	accuracy	accuracy	NOUN
brj-24742	198	6	below	below	ADP
brj-24742	198	7	80	80	NUM
brj-24742	198	8	%	%	NOUN
brj-24742	198	9	even	even	ADV
brj-24742	198	10	after	after	ADP
brj-24742	198	11	200	200	NUM
brj-24742	198	12	training	training	NOUN
brj-24742	198	13	epochs	epoch	NOUN
brj-24742	198	14	,	,	PUNCT
brj-24742	198	15	highlighting	highlight	VERB
brj-24742	198	16	their	their	PRON
brj-24742	198	17	poor	poor	ADJ
brj-24742	198	18	classification	classification	NOUN
brj-24742	198	19	performance	performance	NOUN
brj-24742	198	20	for	for	ADP
brj-24742	198	21	wood	wood	NOUN
brj-24742	198	22	species	specie	NOUN
brj-24742	198	23	.	.	PUNCT
brj-24742	199	1	the	the	DET
brj-24742	199	2	reason	reason	NOUN
brj-24742	199	3	for	for	ADP
brj-24742	199	4	this	this	PRON
brj-24742	199	5	could	could	AUX
brj-24742	199	6	be	be	AUX
brj-24742	199	7	attributed	attribute	VERB
brj-24742	199	8	to	to	ADP
brj-24742	199	9	the	the	DET
brj-24742	199	10	high	high	ADJ
brj-24742	199	11	number	number	NOUN
brj-24742	199	12	of	of	ADP
brj-24742	199	13	layers	layer	NOUN
brj-24742	199	14	in	in	ADP
brj-24742	199	15	both	both	DET
brj-24742	199	16	models	model	NOUN
brj-24742	199	17	,	,	PUNCT
brj-24742	199	18	peer	peer	NOUN
brj-24742	199	19	-	-	PUNCT
brj-24742	199	20	reviewed	review	VERB
brj-24742	199	21	article	article	NOUN
brj-24742	199	22	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24742	199	23	tian	tian	PROPN
brj-24742	199	24	et	et	PROPN
brj-24742	199	25	al	al	PROPN
brj-24742	199	26	.	.	PROPN
brj-24742	200	1	(	(	PUNCT
brj-24742	200	2	2026	2026	NUM
brj-24742	200	3	)	)	PUNCT
brj-24742	200	4	.	.	PUNCT
brj-24742	201	1	“	"	PUNCT
brj-24742	201	2	softwood	softwood	NOUN
brj-24742	201	3	classification	classification	NOUN
brj-24742	201	4	for	for	ADP
brj-24742	201	5	design	design	NOUN
brj-24742	201	6	,	,	PUNCT
brj-24742	201	7	”	"	PUNCT
brj-24742	201	8	bioresources	bioresource	NOUN
brj-24742	201	9	21(1	21(1	NUM
brj-24742	201	10	)	)	PUNCT
brj-24742	201	11	,	,	PUNCT
brj-24742	201	12	781	781	NUM
brj-24742	201	13	-	-	SYM
brj-24742	201	14	798	798	NUM
brj-24742	201	15	.	.	PUNCT
brj-24742	201	16	791	791	NUM
brj-24742	201	17	which	which	PRON
brj-24742	201	18	may	may	AUX
brj-24742	201	19	have	have	AUX
brj-24742	201	20	hindered	hinder	VERB
brj-24742	201	21	the	the	DET
brj-24742	201	22	adequate	adequate	ADJ
brj-24742	201	23	training	training	NOUN
brj-24742	201	24	of	of	ADP
brj-24742	201	25	key	key	ADJ
brj-24742	201	26	features	feature	NOUN
brj-24742	201	27	,	,	PUNCT
brj-24742	201	28	resulting	result	VERB
brj-24742	201	29	in	in	ADP
brj-24742	201	30	gradient	gradient	NOUN
brj-24742	201	31	vanishing	vanishing	NOUN
brj-24742	201	32	during	during	ADP
brj-24742	201	33	training	training	NOUN
brj-24742	201	34	and	and	CCONJ
brj-24742	201	35	deteriorating	deteriorate	VERB
brj-24742	201	36	model	model	NOUN
brj-24742	201	37	performance	performance	NOUN
brj-24742	201	38	.	.	PUNCT
brj-24742	202	1	in	in	ADP
brj-24742	202	2	contrast	contrast	NOUN
brj-24742	202	3	,	,	PUNCT
brj-24742	202	4	the	the	DET
brj-24742	202	5	other	other	ADJ
brj-24742	202	6	models	model	NOUN
brj-24742	202	7	exhibited	exhibit	VERB
brj-24742	202	8	good	good	ADJ
brj-24742	202	9	classification	classification	NOUN
brj-24742	202	10	accuracy	accuracy	NOUN
brj-24742	202	11	,	,	PUNCT
brj-24742	202	12	with	with	ADP
brj-24742	202	13	swin	swin	PROPN
brj-24742	202	14	-	-	PUNCT
brj-24742	202	15	transformer	transformer	NOUN
brj-24742	202	16	,	,	PUNCT
brj-24742	202	17	efficientnetv2	efficientnetv2	NOUN
brj-24742	202	18	,	,	PUNCT
brj-24742	202	19	and	and	CCONJ
brj-24742	202	20	vit	vit	NOUN
brj-24742	202	21	maintaining	maintain	VERB
brj-24742	202	22	high	high	ADJ
brj-24742	202	23	accuracy	accuracy	NOUN
brj-24742	202	24	levels	level	NOUN
brj-24742	202	25	after	after	ADP
brj-24742	202	26	approximately	approximately	ADV
brj-24742	202	27	150	150	NUM
brj-24742	202	28	training	training	NOUN
brj-24742	202	29	epochs	epoch	NOUN
brj-24742	202	30	.	.	PUNCT
brj-24742	203	1	to	to	PART
brj-24742	203	2	further	far	ADV
brj-24742	203	3	evaluate	evaluate	VERB
brj-24742	203	4	the	the	DET
brj-24742	203	5	classification	classification	NOUN
brj-24742	203	6	capability	capability	NOUN
brj-24742	203	7	of	of	ADP
brj-24742	203	8	11	11	NUM
brj-24742	203	9	models	model	NOUN
brj-24742	203	10	for	for	ADP
brj-24742	203	11	wood	wood	NOUN
brj-24742	203	12	species	specie	NOUN
brj-24742	203	13	,	,	PUNCT
brj-24742	203	14	five	five	NUM
brj-24742	203	15	evaluation	evaluation	NOUN
brj-24742	203	16	metrics	metric	NOUN
brj-24742	203	17	were	be	AUX
brj-24742	203	18	provided	provide	VERB
brj-24742	203	19	:	:	PUNCT
brj-24742	203	20	maximum	maximum	ADJ
brj-24742	203	21	accuracy	accuracy	NOUN
brj-24742	203	22	,	,	PUNCT
brj-24742	203	23	training	training	NOUN
brj-24742	203	24	time	time	NOUN
brj-24742	203	25	,	,	PUNCT
brj-24742	203	26	inference	inference	NOUN
brj-24742	203	27	time	time	NOUN
brj-24742	203	28	,	,	PUNCT
brj-24742	203	29	model	model	NOUN
brj-24742	203	30	parameters	parameter	NOUN
brj-24742	203	31	,	,	PUNCT
brj-24742	203	32	and	and	CCONJ
brj-24742	203	33	floating	float	VERB
brj-24742	203	34	-	-	PUNCT
brj-24742	203	35	point	point	NOUN
brj-24742	203	36	operations	operation	NOUN
brj-24742	203	37	per	per	ADP
brj-24742	203	38	second	second	NOUN
brj-24742	203	39	.	.	PUNCT
brj-24742	204	1	the	the	DET
brj-24742	204	2	experimental	experimental	ADJ
brj-24742	204	3	results	result	NOUN
brj-24742	204	4	are	be	AUX
brj-24742	204	5	shown	show	VERB
brj-24742	204	6	in	in	ADP
brj-24742	204	7	table	table	NOUN
brj-24742	204	8	2	2	NUM
brj-24742	204	9	.	.	PUNCT
brj-24742	205	1	the	the	DET
brj-24742	205	2	classical	classical	ADJ
brj-24742	205	3	convolutional	convolutional	ADJ
brj-24742	205	4	neural	neural	ADJ
brj-24742	205	5	network	network	NOUN
brj-24742	205	6	classification	classification	NOUN
brj-24742	205	7	methods	method	NOUN
brj-24742	205	8	,	,	PUNCT
brj-24742	205	9	such	such	ADJ
brj-24742	205	10	as	as	ADP
brj-24742	205	11	vgg16	vgg16	NOUN
brj-24742	205	12	and	and	CCONJ
brj-24742	205	13	vgg19	vgg19	PROPN
brj-24742	205	14	recognition	recognition	NOUN
brj-24742	205	15	accuracy	accuracy	NOUN
brj-24742	205	16	of	of	ADP
brj-24742	205	17	89.55	89.55	NUM
brj-24742	205	18	%	%	NOUN
brj-24742	205	19	and	and	CCONJ
brj-24742	205	20	71.99	71.99	NUM
brj-24742	205	21	%	%	NOUN
brj-24742	205	22	respectively	respectively	ADV
brj-24742	205	23	.	.	PUNCT
brj-24742	206	1	this	this	PRON
brj-24742	206	2	indicates	indicate	VERB
brj-24742	206	3	that	that	SCONJ
brj-24742	206	4	the	the	DET
brj-24742	206	5	deeper	deep	ADJ
brj-24742	206	6	vgg19	vgg19	NOUN
brj-24742	206	7	model	model	NOUN
brj-24742	206	8	is	be	AUX
brj-24742	206	9	more	more	ADV
brj-24742	206	10	prone	prone	ADJ
brj-24742	206	11	to	to	ADP
brj-24742	206	12	the	the	DET
brj-24742	206	13	vanishing	vanish	VERB
brj-24742	206	14	gradient	gradient	ADJ
brj-24742	206	15	phenomenon	phenomenon	NOUN
brj-24742	206	16	during	during	ADP
brj-24742	206	17	the	the	DET
brj-24742	206	18	iterative	iterative	NOUN
brj-24742	206	19	update	update	NOUN
brj-24742	206	20	of	of	ADP
brj-24742	206	21	convolutional	convolutional	ADJ
brj-24742	206	22	kernel	kernel	NOUN
brj-24742	206	23	weight	weight	NOUN
brj-24742	206	24	parameters	parameter	NOUN
brj-24742	206	25	in	in	ADP
brj-24742	206	26	the	the	DET
brj-24742	206	27	back	back	ADJ
brj-24742	206	28	-	-	PUNCT
brj-24742	206	29	propagation	propagation	NOUN
brj-24742	206	30	process	process	NOUN
brj-24742	206	31	,	,	PUNCT
brj-24742	206	32	so	so	SCONJ
brj-24742	206	33	that	that	SCONJ
brj-24742	206	34	the	the	DET
brj-24742	206	35	accuracy	accuracy	NOUN
brj-24742	206	36	rate	rate	NOUN
brj-24742	206	37	is	be	AUX
brj-24742	206	38	reduced	reduce	VERB
brj-24742	206	39	.	.	PUNCT
brj-24742	207	1	the	the	DET
brj-24742	207	2	resnet	resnet	NOUN
brj-24742	207	3	model	model	NOUN
brj-24742	207	4	with	with	ADP
brj-24742	207	5	the	the	DET
brj-24742	207	6	introduction	introduction	NOUN
brj-24742	207	7	of	of	ADP
brj-24742	207	8	residual	residual	ADJ
brj-24742	207	9	blocks	block	NOUN
brj-24742	207	10	effectively	effectively	ADV
brj-24742	207	11	solves	solve	VERB
brj-24742	207	12	the	the	DET
brj-24742	207	13	problem	problem	NOUN
brj-24742	207	14	of	of	ADP
brj-24742	207	15	vanishing	vanish	VERB
brj-24742	207	16	gradients	gradient	NOUN
brj-24742	207	17	with	with	ADP
brj-24742	207	18	an	an	DET
brj-24742	207	19	accuracy	accuracy	NOUN
brj-24742	207	20	rate	rate	NOUN
brj-24742	207	21	of	of	ADP
brj-24742	207	22	its	its	PRON
brj-24742	207	23	up	up	ADP
brj-24742	207	24	to	to	ADP
brj-24742	207	25	99.71	99.71	NUM
brj-24742	207	26	%	%	NOUN
brj-24742	207	27	.	.	PUNCT
brj-24742	208	1	however	however	ADV
brj-24742	208	2	,	,	PUNCT
brj-24742	208	3	increasing	increase	VERB
brj-24742	208	4	model	model	NOUN
brj-24742	208	5	depth	depth	NOUN
brj-24742	208	6	is	be	AUX
brj-24742	208	7	not	not	PART
brj-24742	208	8	as	as	ADV
brj-24742	208	9	effective	effective	ADJ
brj-24742	208	10	as	as	ADP
brj-24742	208	11	multi	multi	ADJ
brj-24742	208	12	-	-	ADJ
brj-24742	208	13	scale	scale	ADJ
brj-24742	208	14	feature	feature	NOUN
brj-24742	208	15	fusion	fusion	NOUN
brj-24742	208	16	.	.	PUNCT
brj-24742	209	1	taking	take	VERB
brj-24742	209	2	googlenet	googlenet	NOUN
brj-24742	209	3	as	as	ADP
brj-24742	209	4	an	an	DET
brj-24742	209	5	example	example	NOUN
brj-24742	209	6	,	,	PUNCT
brj-24742	209	7	this	this	DET
brj-24742	209	8	model	model	NOUN
brj-24742	209	9	does	do	AUX
brj-24742	209	10	not	not	PART
brj-24742	209	11	employ	employ	VERB
brj-24742	209	12	residual	residual	ADJ
brj-24742	209	13	blocks	block	NOUN
brj-24742	209	14	but	but	CCONJ
brj-24742	209	15	uses	use	VERB
brj-24742	209	16	the	the	DET
brj-24742	209	17	inception	inception	NOUN
brj-24742	209	18	module	module	NOUN
brj-24742	209	19	as	as	ADP
brj-24742	209	20	the	the	DET
brj-24742	209	21	basic	basic	ADJ
brj-24742	209	22	unit	unit	NOUN
brj-24742	209	23	.	.	PUNCT
brj-24742	210	1	it	it	PRON
brj-24742	210	2	outputs	output	VERB
brj-24742	210	3	feature	feature	NOUN
brj-24742	210	4	maps	map	NOUN
brj-24742	210	5	through	through	ADP
brj-24742	210	6	multi	multi	ADJ
brj-24742	210	7	-	-	ADJ
brj-24742	210	8	scale	scale	ADJ
brj-24742	210	9	convolution	convolution	NOUN
brj-24742	210	10	and	and	CCONJ
brj-24742	210	11	pooling	pool	VERB
brj-24742	210	12	operations	operation	NOUN
brj-24742	210	13	in	in	ADP
brj-24742	210	14	multiple	multiple	ADJ
brj-24742	210	15	parallel	parallel	ADJ
brj-24742	210	16	branches	branch	NOUN
brj-24742	210	17	.	.	PUNCT
brj-24742	211	1	this	this	DET
brj-24742	211	2	design	design	NOUN
brj-24742	211	3	enables	enable	VERB
brj-24742	211	4	the	the	DET
brj-24742	211	5	model	model	NOUN
brj-24742	211	6	to	to	PART
brj-24742	211	7	integrate	integrate	VERB
brj-24742	211	8	feature	feature	NOUN
brj-24742	211	9	information	information	NOUN
brj-24742	211	10	from	from	ADP
brj-24742	211	11	multiple	multiple	ADJ
brj-24742	211	12	receptive	receptive	ADJ
brj-24742	211	13	fields	field	NOUN
brj-24742	211	14	and	and	CCONJ
brj-24742	211	15	perform	perform	VERB
brj-24742	211	16	species	specie	NOUN
brj-24742	211	17	identification	identification	NOUN
brj-24742	211	18	,	,	PUNCT
brj-24742	211	19	which	which	PRON
brj-24742	211	20	results	result	VERB
brj-24742	211	21	in	in	ADP
brj-24742	211	22	a	a	DET
brj-24742	211	23	wood	wood	NOUN
brj-24742	211	24	species	species	NOUN
brj-24742	211	25	classification	classification	NOUN
brj-24742	211	26	accuracy	accuracy	NOUN
brj-24742	211	27	of	of	ADP
brj-24742	211	28	99.73	99.73	NUM
brj-24742	211	29	%	%	NOUN
brj-24742	211	30	.	.	PUNCT
brj-24742	212	1	the	the	DET
brj-24742	212	2	high	high	ADV
brj-24742	212	3	-	-	PUNCT
brj-24742	212	4	dimensional	dimensional	ADJ
brj-24742	212	5	feature	feature	NOUN
brj-24742	212	6	interaction	interaction	NOUN
brj-24742	212	7	in	in	ADP
brj-24742	212	8	the	the	DET
brj-24742	212	9	inverted	inverted	ADJ
brj-24742	212	10	bottleneck	bottleneck	NOUN
brj-24742	212	11	(	(	PUNCT
brj-24742	212	12	ib	ib	NOUN
brj-24742	212	13	)	)	PUNCT
brj-24742	212	14	module	module	NOUN
brj-24742	212	15	of	of	ADP
brj-24742	212	16	efficientnet	efficientnet	NOUN
brj-24742	212	17	and	and	CCONJ
brj-24742	212	18	efficientnetv2	efficientnetv2	PROPN
brj-24742	212	19	,	,	PUNCT
brj-24742	212	20	as	as	ADV
brj-24742	212	21	well	well	ADV
brj-24742	212	22	as	as	ADP
brj-24742	212	23	the	the	DET
brj-24742	212	24	hierarchical	hierarchical	ADJ
brj-24742	212	25	feature	feature	NOUN
brj-24742	212	26	extraction	extraction	NOUN
brj-24742	212	27	of	of	ADP
brj-24742	212	28	the	the	DET
brj-24742	212	29	swin	swin	PROPN
brj-24742	212	30	transformer	transformer	PROPN
brj-24742	212	31	model	model	NOUN
brj-24742	212	32	,	,	PUNCT
brj-24742	212	33	both	both	PRON
brj-24742	212	34	adopt	adopt	VERB
brj-24742	212	35	multi	multi	ADJ
brj-24742	212	36	-	-	ADJ
brj-24742	212	37	scale	scale	ADJ
brj-24742	212	38	feature	feature	NOUN
brj-24742	212	39	fusion	fusion	NOUN
brj-24742	212	40	,	,	PUNCT
brj-24742	212	41	with	with	ADP
brj-24742	212	42	their	their	PRON
brj-24742	212	43	accuracies	accuracy	NOUN
brj-24742	212	44	all	all	PRON
brj-24742	212	45	exceeding	exceed	VERB
brj-24742	212	46	99.79	99.79	NUM
brj-24742	212	47	%	%	NOUN
brj-24742	212	48	.	.	PUNCT
brj-24742	213	1	in	in	ADP
brj-24742	213	2	addition	addition	NOUN
brj-24742	213	3	to	to	ADP
brj-24742	213	4	multi	multi	ADJ
brj-24742	213	5	-	-	ADJ
brj-24742	213	6	scale	scale	ADJ
brj-24742	213	7	feature	feature	NOUN
brj-24742	213	8	fusion	fusion	NOUN
brj-24742	213	9	,	,	PUNCT
brj-24742	213	10	the	the	DET
brj-24742	213	11	spatial	spatial	ADJ
brj-24742	213	12	attention	attention	NOUN
brj-24742	213	13	mechanism	mechanism	NOUN
brj-24742	213	14	is	be	AUX
brj-24742	213	15	also	also	ADV
brj-24742	213	16	a	a	DET
brj-24742	213	17	key	key	ADJ
brj-24742	213	18	module	module	NOUN
brj-24742	213	19	for	for	ADP
brj-24742	213	20	the	the	DET
brj-24742	213	21	model	model	NOUN
brj-24742	213	22	to	to	PART
brj-24742	213	23	identify	identify	VERB
brj-24742	213	24	wood	wood	NOUN
brj-24742	213	25	species	specie	NOUN
brj-24742	213	26	.	.	PUNCT
brj-24742	214	1	to	to	PART
brj-24742	214	2	mitigate	mitigate	VERB
brj-24742	214	3	the	the	DET
brj-24742	214	4	interference	interference	NOUN
brj-24742	214	5	of	of	ADP
brj-24742	214	6	stain	stain	NOUN
brj-24742	214	7	color	color	NOUN
brj-24742	214	8	in	in	ADP
brj-24742	214	9	microscopic	microscopic	ADJ
brj-24742	214	10	cross	cross	ADJ
brj-24742	214	11	-	-	ADJ
brj-24742	214	12	sectional	sectional	ADJ
brj-24742	214	13	wood	wood	NOUN
brj-24742	214	14	images	image	NOUN
brj-24742	214	15	,	,	PUNCT
brj-24742	214	16	this	this	DET
brj-24742	214	17	study	study	NOUN
brj-24742	214	18	employed	employ	VERB
brj-24742	214	19	rgb	rgb	PROPN
brj-24742	214	20	images	image	NOUN
brj-24742	214	21	with	with	ADP
brj-24742	214	22	consistent	consistent	ADJ
brj-24742	214	23	grayscale	grayscale	NOUN
brj-24742	214	24	values	value	NOUN
brj-24742	214	25	for	for	ADP
brj-24742	214	26	corresponding	corresponding	ADJ
brj-24742	214	27	pixels	pixel	NOUN
brj-24742	214	28	across	across	ADP
brj-24742	214	29	three	three	NUM
brj-24742	214	30	channels	channel	NOUN
brj-24742	214	31	during	during	ADP
brj-24742	214	32	dataset	dataset	ADJ
brj-24742	214	33	creation	creation	NOUN
brj-24742	214	34	.	.	PUNCT
brj-24742	215	1	such	such	ADJ
brj-24742	215	2	images	image	NOUN
brj-24742	215	3	can	can	AUX
brj-24742	215	4	render	render	VERB
brj-24742	215	5	the	the	DET
brj-24742	215	6	channel	channel	NOUN
brj-24742	215	7	attention	attention	NOUN
brj-24742	215	8	mechanism	mechanism	NOUN
brj-24742	215	9	in	in	ADP
brj-24742	215	10	models	model	NOUN
brj-24742	215	11	ineffective	ineffective	ADJ
brj-24742	215	12	,	,	PUNCT
brj-24742	215	13	thereby	thereby	ADV
brj-24742	215	14	limiting	limit	VERB
brj-24742	215	15	identification	identification	NOUN
brj-24742	215	16	accuracy	accuracy	NOUN
brj-24742	215	17	.	.	PUNCT
brj-24742	216	1	effectivenet	effectivenet	PROPN
brj-24742	216	2	and	and	CCONJ
brj-24742	216	3	vit	vit	NOUN
brj-24742	216	4	utilized	utilize	VERB
brj-24742	216	5	this	this	DET
brj-24742	216	6	mechanism	mechanism	NOUN
brj-24742	216	7	,	,	PUNCT
brj-24742	216	8	with	with	ADP
brj-24742	216	9	accuracy	accuracy	NOUN
brj-24742	216	10	rates	rate	NOUN
brj-24742	216	11	of	of	ADP
brj-24742	216	12	99.79	99.79	NUM
brj-24742	216	13	%	%	NOUN
brj-24742	216	14	and	and	CCONJ
brj-24742	216	15	99.88	99.88	NUM
brj-24742	216	16	%	%	NOUN
brj-24742	216	17	respectively	respectively	ADV
brj-24742	216	18	.	.	PUNCT
brj-24742	217	1	in	in	ADP
brj-24742	217	2	contrast	contrast	NOUN
brj-24742	217	3	,	,	PUNCT
brj-24742	217	4	the	the	DET
brj-24742	217	5	convolutional	convolutional	ADJ
brj-24742	217	6	computation	computation	NOUN
brj-24742	217	7	in	in	ADP
brj-24742	217	8	efficientnetv2	efficientnetv2	NOUN
brj-24742	217	9	reduced	reduce	VERB
brj-24742	217	10	reliance	reliance	NOUN
brj-24742	217	11	on	on	ADP
brj-24742	217	12	the	the	DET
brj-24742	217	13	channel	channel	NOUN
brj-24742	217	14	attention	attention	NOUN
brj-24742	217	15	mechanism	mechanism	NOUN
brj-24742	217	16	,	,	PUNCT
brj-24742	217	17	boosting	boost	VERB
brj-24742	217	18	accuracy	accuracy	NOUN
brj-24742	217	19	to	to	ADP
brj-24742	217	20	99.94	99.94	NUM
brj-24742	217	21	%	%	NOUN
brj-24742	217	22	.	.	PUNCT
brj-24742	218	1	starnet	starnet	NOUN
brj-24742	218	2	-	-	PUNCT
brj-24742	218	3	base	base	NOUN
brj-24742	218	4	is	be	AUX
brj-24742	218	5	a	a	DET
brj-24742	218	6	lightweight	lightweight	ADJ
brj-24742	218	7	convolutional	convolutional	ADJ
brj-24742	218	8	neural	neural	ADJ
brj-24742	218	9	network	network	NOUN
brj-24742	218	10	with	with	ADP
brj-24742	218	11	the	the	DET
brj-24742	218	12	fewest	few	ADJ
brj-24742	218	13	parameters	parameter	NOUN
brj-24742	218	14	and	and	CCONJ
brj-24742	218	15	the	the	DET
brj-24742	218	16	shortest	short	ADJ
brj-24742	218	17	training	training	NOUN
brj-24742	218	18	time	time	NOUN
brj-24742	218	19	.	.	PUNCT
brj-24742	219	1	the	the	DET
brj-24742	219	2	starnet	starnet	NOUN
brj-24742	219	3	-	-	PUNCT
brj-24742	219	4	improved	improve	VERB
brj-24742	219	5	,	,	PUNCT
brj-24742	219	6	an	an	DET
brj-24742	219	7	enhancement	enhancement	NOUN
brj-24742	219	8	of	of	ADP
brj-24742	219	9	the	the	DET
brj-24742	219	10	starnet	starnet	ADJ
brj-24742	219	11	baseline	baseline	PROPN
brj-24742	219	12	model	model	PROPN
brj-24742	219	13	,	,	PUNCT
brj-24742	219	14	improves	improve	VERB
brj-24742	219	15	the	the	DET
brj-24742	219	16	original	original	ADJ
brj-24742	219	17	architecture	architecture	NOUN
brj-24742	219	18	by	by	ADP
brj-24742	219	19	focusing	focus	VERB
brj-24742	219	20	on	on	ADP
brj-24742	219	21	its	its	PRON
brj-24742	219	22	third	third	ADJ
brj-24742	219	23	stage	stage	NOUN
brj-24742	219	24	.	.	PUNCT
brj-24742	220	1	in	in	ADP
brj-24742	220	2	this	this	DET
brj-24742	220	3	stage	stage	NOUN
brj-24742	220	4	,	,	PUNCT
brj-24742	220	5	each	each	DET
brj-24742	220	6	even	even	ADV
brj-24742	220	7	-	-	PUNCT
brj-24742	220	8	numbered	number	VERB
brj-24742	220	9	demo	demo	NOUN
brj-24742	220	10	block	block	NOUN
brj-24742	220	11	incorporates	incorporate	VERB
brj-24742	220	12	a	a	DET
brj-24742	220	13	depthwise	depthwise	NOUN
brj-24742	220	14	convolution	convolution	NOUN
brj-24742	220	15	following	follow	VERB
brj-24742	220	16	the	the	DET
brj-24742	220	17	star	star	NOUN
brj-24742	220	18	operation	operation	NOUN
brj-24742	220	19	.	.	PUNCT
brj-24742	221	1	specifically	specifically	ADV
brj-24742	221	2	,	,	PUNCT
brj-24742	221	3	a	a	DET
brj-24742	221	4	spatial	spatial	ADJ
brj-24742	221	5	attention	attention	NOUN
brj-24742	221	6	mechanism	mechanism	NOUN
brj-24742	221	7	is	be	AUX
brj-24742	221	8	inserted	insert	VERB
brj-24742	221	9	immediately	immediately	ADV
brj-24742	221	10	before	before	ADP
brj-24742	221	11	the	the	DET
brj-24742	221	12	depthwise	depthwise	NOUN
brj-24742	221	13	convolution	convolution	NOUN
brj-24742	221	14	to	to	PART
brj-24742	221	15	enhance	enhance	VERB
brj-24742	221	16	feature	feature	NOUN
brj-24742	221	17	extraction	extraction	NOUN
brj-24742	221	18	efficiency	efficiency	NOUN
brj-24742	221	19	.	.	PUNCT
brj-24742	222	1	compared	compare	VERB
brj-24742	222	2	to	to	ADP
brj-24742	222	3	starnet	starnet	NOUN
brj-24742	222	4	-	-	PUNCT
brj-24742	222	5	base	base	NOUN
brj-24742	222	6	,	,	PUNCT
brj-24742	222	7	the	the	DET
brj-24742	222	8	training	training	NOUN
brj-24742	222	9	time	time	NOUN
brj-24742	222	10	of	of	ADP
brj-24742	222	11	starnet	starnet	NOUN
brj-24742	222	12	-	-	PUNCT
brj-24742	222	13	improved	improve	VERB
brj-24742	222	14	increased	increase	VERB
brj-24742	222	15	nearly	nearly	ADV
brj-24742	222	16	9	9	NUM
brj-24742	222	17	%	%	NOUN
brj-24742	222	18	,	,	PUNCT
brj-24742	222	19	but	but	CCONJ
brj-24742	222	20	its	its	PRON
brj-24742	222	21	accuracy	accuracy	NOUN
brj-24742	222	22	improved	improve	VERB
brj-24742	222	23	4.68	4.68	NUM
brj-24742	222	24	%	%	NOUN
brj-24742	222	25	,	,	PUNCT
brj-24742	222	26	demonstrating	demonstrate	VERB
brj-24742	222	27	that	that	SCONJ
brj-24742	222	28	the	the	DET
brj-24742	222	29	spatial	spatial	ADJ
brj-24742	222	30	attention	attention	NOUN
brj-24742	222	31	mechanism	mechanism	NOUN
brj-24742	222	32	plays	play	VERB
brj-24742	222	33	a	a	DET
brj-24742	222	34	crucial	crucial	ADJ
brj-24742	222	35	role	role	NOUN
brj-24742	222	36	in	in	ADP
brj-24742	222	37	enhancing	enhance	VERB
brj-24742	222	38	the	the	DET
brj-24742	222	39	model	model	NOUN
brj-24742	222	40	’s	’s	PART
brj-24742	222	41	ability	ability	NOUN
brj-24742	222	42	to	to	PART
brj-24742	222	43	distinguish	distinguish	VERB
brj-24742	222	44	wood	wood	NOUN
brj-24742	222	45	species	specie	NOUN
brj-24742	222	46	.	.	PUNCT
brj-24742	223	1	the	the	DET
brj-24742	223	2	self	self	NOUN
brj-24742	223	3	-	-	PUNCT
brj-24742	223	4	attention	attention	NOUN
brj-24742	223	5	mechanism	mechanism	NOUN
brj-24742	223	6	established	establish	VERB
brj-24742	223	7	by	by	ADP
brj-24742	223	8	vit	vit	NOUN
brj-24742	223	9	directs	direct	VERB
brj-24742	223	10	the	the	DET
brj-24742	223	11	model	model	NOUN
brj-24742	223	12	to	to	PART
brj-24742	223	13	consider	consider	VERB
brj-24742	223	14	the	the	DET
brj-24742	223	15	dependencies	dependency	NOUN
brj-24742	223	16	between	between	ADP
brj-24742	223	17	image	image	NOUN
brj-24742	223	18	regions	region	NOUN
brj-24742	223	19	both	both	CCONJ
brj-24742	223	20	spatially	spatially	ADV
brj-24742	223	21	and	and	CCONJ
brj-24742	223	22	across	across	ADP
brj-24742	223	23	channels	channel	NOUN
brj-24742	223	24	.	.	PUNCT
brj-24742	224	1	through	through	ADP
brj-24742	224	2	training	training	NOUN
brj-24742	224	3	,	,	PUNCT
brj-24742	224	4	the	the	DET
brj-24742	224	5	model	model	NOUN
brj-24742	224	6	’s	’s	PART
brj-24742	224	7	discrimination	discrimination	NOUN
brj-24742	224	8	mechanism	mechanism	NOUN
brj-24742	224	9	learned	learn	VERB
brj-24742	224	10	the	the	DET
brj-24742	224	11	feature	feature	NOUN
brj-24742	224	12	distribution	distribution	NOUN
brj-24742	224	13	of	of	ADP
brj-24742	224	14	wood	wood	NOUN
brj-24742	224	15	species	specie	NOUN
brj-24742	224	16	via	via	ADP
brj-24742	224	17	spatial	spatial	ADJ
brj-24742	224	18	attention	attention	NOUN
brj-24742	224	19	,	,	PUNCT
brj-24742	224	20	resulting	result	VERB
brj-24742	224	21	in	in	ADP
brj-24742	224	22	a	a	DET
brj-24742	224	23	high	high	ADJ
brj-24742	224	24	classification	classification	NOUN
brj-24742	224	25	accuracy	accuracy	NOUN
brj-24742	224	26	of	of	ADP
brj-24742	224	27	99.88	99.88	NUM
brj-24742	224	28	%	%	NOUN
brj-24742	224	29	.	.	PUNCT
brj-24742	225	1	swin	swin	PROPN
brj-24742	225	2	transformer	transformer	PROPN
brj-24742	225	3	achieved	achieve	VERB
brj-24742	225	4	the	the	DET
brj-24742	225	5	highest	high	ADJ
brj-24742	225	6	wood	wood	NOUN
brj-24742	225	7	species	specie	NOUN
brj-24742	225	8	classification	classification	NOUN
brj-24742	225	9	accuracy	accuracy	NOUN
brj-24742	225	10	,	,	PUNCT
brj-24742	225	11	reaching	reach	VERB
brj-24742	225	12	99.97	99.97	NUM
brj-24742	225	13	%	%	NOUN
brj-24742	225	14	.	.	PUNCT
brj-24742	226	1	in	in	ADP
brj-24742	226	2	contrast	contrast	NOUN
brj-24742	226	3	to	to	ADP
brj-24742	226	4	vit	vit	PROPN
brj-24742	226	5	’s	’s	PART
brj-24742	226	6	self	self	NOUN
brj-24742	226	7	-	-	PUNCT
brj-24742	226	8	attention	attention	NOUN
brj-24742	226	9	mechanism	mechanism	NOUN
brj-24742	226	10	,	,	PUNCT
brj-24742	226	11	swin	swin	PROPN
brj-24742	226	12	transformer	transformer	PROPN
brj-24742	226	13	uses	use	VERB
brj-24742	226	14	a	a	DET
brj-24742	226	15	sw	sw	PROPN
brj-24742	226	16	-	-	PUNCT
brj-24742	226	17	msa	msa	PROPN
brj-24742	226	18	,	,	PUNCT
brj-24742	226	19	which	which	PRON
brj-24742	226	20	enables	enable	VERB
brj-24742	226	21	communication	communication	NOUN
brj-24742	226	22	between	between	ADP
brj-24742	226	23	windows	window	NOUN
brj-24742	226	24	by	by	ADP
brj-24742	226	25	exchanging	exchange	VERB
brj-24742	226	26	information	information	NOUN
brj-24742	226	27	across	across	ADP
brj-24742	226	28	shifts	shift	NOUN
brj-24742	226	29	,	,	PUNCT
brj-24742	226	30	allowing	allow	VERB
brj-24742	226	31	the	the	DET
brj-24742	226	32	multi	multi	ADJ
brj-24742	226	33	-	-	ADJ
brj-24742	226	34	head	head	ADJ
brj-24742	226	35	attention	attention	NOUN
brj-24742	226	36	to	to	PART
brj-24742	226	37	monitor	monitor	VERB
brj-24742	226	38	changes	change	NOUN
brj-24742	226	39	in	in	ADP
brj-24742	226	40	features	feature	NOUN
brj-24742	226	41	such	such	ADJ
brj-24742	226	42	as	as	ADP
brj-24742	226	43	tracheid	tracheid	ADJ
brj-24742	226	44	distribution	distribution	NOUN
brj-24742	226	45	,	,	PUNCT
brj-24742	226	46	ray	ray	NOUN
brj-24742	226	47	peer	peer	NOUN
brj-24742	226	48	-	-	PUNCT
brj-24742	226	49	reviewed	review	VERB
brj-24742	226	50	article	article	NOUN
brj-24742	226	51	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24742	227	1	tian	tian	PROPN
brj-24742	227	2	et	et	PROPN
brj-24742	227	3	al	al	PROPN
brj-24742	227	4	.	.	PROPN
brj-24742	228	1	(	(	PUNCT
brj-24742	228	2	2026	2026	NUM
brj-24742	228	3	)	)	PUNCT
brj-24742	228	4	.	.	PUNCT
brj-24742	229	1	“	"	PUNCT
brj-24742	229	2	softwood	softwood	NOUN
brj-24742	229	3	classification	classification	NOUN
brj-24742	229	4	for	for	ADP
brj-24742	229	5	design	design	NOUN
brj-24742	229	6	,	,	PUNCT
brj-24742	229	7	”	"	PUNCT
brj-24742	229	8	bioresources	bioresource	NOUN
brj-24742	229	9	21(1	21(1	NUM
brj-24742	229	10	)	)	PUNCT
brj-24742	229	11	,	,	PUNCT
brj-24742	229	12	781	781	NUM
brj-24742	229	13	-	-	SYM
brj-24742	229	14	798	798	NUM
brj-24742	229	15	.	.	PUNCT
brj-24742	230	1	792	792	NUM
brj-24742	230	2	density	density	NOUN
brj-24742	230	3	,	,	PUNCT
brj-24742	230	4	and	and	CCONJ
brj-24742	230	5	cell	cell	NOUN
brj-24742	230	6	wall	wall	NOUN
brj-24742	230	7	thickness	thickness	PROPN
brj-24742	230	8	.	.	PUNCT
brj-24742	231	1	this	this	DET
brj-24742	231	2	mechanism	mechanism	NOUN
brj-24742	231	3	plays	play	VERB
brj-24742	231	4	a	a	DET
brj-24742	231	5	critical	critical	ADJ
brj-24742	231	6	role	role	NOUN
brj-24742	231	7	in	in	ADP
brj-24742	231	8	tracking	track	VERB
brj-24742	231	9	continuous	continuous	ADJ
brj-24742	231	10	wood	wood	NOUN
brj-24742	231	11	anatomical	anatomical	ADJ
brj-24742	231	12	features	feature	NOUN
brj-24742	231	13	,	,	PUNCT
brj-24742	231	14	and	and	CCONJ
brj-24742	231	15	sw	sw	PROPN
brj-24742	231	16	-	-	PUNCT
brj-24742	231	17	msa	msa	PROPN
brj-24742	231	18	also	also	ADV
brj-24742	231	19	enhances	enhance	VERB
brj-24742	231	20	the	the	DET
brj-24742	231	21	edge	edge	NOUN
brj-24742	231	22	detection	detection	NOUN
brj-24742	231	23	of	of	ADP
brj-24742	231	24	growth	growth	NOUN
brj-24742	231	25	ring	ring	NOUN
brj-24742	231	26	boundaries	boundary	NOUN
brj-24742	231	27	in	in	ADP
brj-24742	231	28	the	the	DET
brj-24742	231	29	microscopic	microscopic	ADJ
brj-24742	231	30	images	image	NOUN
brj-24742	231	31	of	of	ADP
brj-24742	231	32	wood	wood	NOUN
brj-24742	231	33	species	specie	NOUN
brj-24742	231	34	.	.	PUNCT
brj-24742	232	1	moreover	moreover	ADV
brj-24742	232	2	,	,	PUNCT
brj-24742	232	3	the	the	DET
brj-24742	232	4	model	model	NOUN
brj-24742	232	5	only	only	ADV
brj-24742	232	6	utilized	utilize	VERB
brj-24742	232	7	spatial	spatial	ADJ
brj-24742	232	8	attention	attention	NOUN
brj-24742	232	9	,	,	PUNCT
brj-24742	232	10	without	without	ADP
brj-24742	232	11	the	the	DET
brj-24742	232	12	interference	interference	NOUN
brj-24742	232	13	of	of	ADP
brj-24742	232	14	channel	channel	NOUN
brj-24742	232	15	attention	attention	NOUN
brj-24742	232	16	,	,	PUNCT
brj-24742	232	17	effectively	effectively	ADV
brj-24742	232	18	addressing	address	VERB
brj-24742	232	19	the	the	DET
brj-24742	232	20	issue	issue	NOUN
brj-24742	232	21	of	of	ADP
brj-24742	232	22	wood	wood	NOUN
brj-24742	232	23	species	specie	NOUN
brj-24742	232	24	classification	classification	NOUN
brj-24742	232	25	based	base	VERB
brj-24742	232	26	on	on	ADP
brj-24742	232	27	microscopic	microscopic	ADJ
brj-24742	232	28	images	image	NOUN
brj-24742	232	29	of	of	ADP
brj-24742	232	30	wood	wood	NOUN
brj-24742	232	31	cross	cross	NOUN
brj-24742	232	32	-	-	NOUN
brj-24742	232	33	sections	section	NOUN
brj-24742	232	34	.	.	PUNCT
brj-24742	233	1	convnext	convnext	PROPN
brj-24742	233	2	achieved	achieve	VERB
brj-24742	233	3	an	an	DET
brj-24742	233	4	accuracy	accuracy	NOUN
brj-24742	233	5	of	of	ADP
brj-24742	233	6	only	only	ADV
brj-24742	233	7	56	56	NUM
brj-24742	233	8	%	%	NOUN
brj-24742	233	9	,	,	PUNCT
brj-24742	233	10	the	the	DET
brj-24742	233	11	lowest	low	ADJ
brj-24742	233	12	among	among	ADP
brj-24742	233	13	the	the	DET
brj-24742	233	14	11	11	NUM
brj-24742	233	15	models	model	NOUN
brj-24742	233	16	.	.	PUNCT
brj-24742	234	1	the	the	DET
brj-24742	234	2	authors	author	NOUN
brj-24742	234	3	tried	try	VERB
brj-24742	234	4	various	various	ADJ
brj-24742	234	5	optimizers	optimizer	NOUN
brj-24742	234	6	for	for	ADP
brj-24742	234	7	convnext	convnext	NOUN
brj-24742	234	8	but	but	CCONJ
brj-24742	234	9	still	still	ADV
brj-24742	234	10	failed	fail	VERB
brj-24742	234	11	to	to	PART
brj-24742	234	12	achieve	achieve	VERB
brj-24742	234	13	satisfactory	satisfactory	ADJ
brj-24742	234	14	results	result	NOUN
brj-24742	234	15	.	.	PUNCT
brj-24742	235	1	the	the	DET
brj-24742	235	2	primary	primary	ADJ
brj-24742	235	3	cause	cause	NOUN
brj-24742	235	4	of	of	ADP
brj-24742	235	5	this	this	DET
brj-24742	235	6	phenomenon	phenomenon	NOUN
brj-24742	235	7	lies	lie	VERB
brj-24742	235	8	in	in	ADP
brj-24742	235	9	the	the	DET
brj-24742	235	10	4×4	4×4	NUM
brj-24742	235	11	downsampling	downsample	VERB
brj-24742	235	12	operation	operation	NOUN
brj-24742	235	13	of	of	ADP
brj-24742	235	14	the	the	DET
brj-24742	235	15	“	"	PUNCT
brj-24742	235	16	patchify	patchify	NOUN
brj-24742	235	17	”	"	PUNCT
brj-24742	235	18	layer	layer	NOUN
brj-24742	235	19	,	,	PUNCT
brj-24742	235	20	which	which	PRON
brj-24742	235	21	induces	induce	VERB
brj-24742	235	22	the	the	DET
brj-24742	235	23	loss	loss	NOUN
brj-24742	235	24	of	of	ADP
brj-24742	235	25	low	low	ADJ
brj-24742	235	26	-	-	PUNCT
brj-24742	235	27	level	level	NOUN
brj-24742	235	28	texture	texture	NOUN
brj-24742	235	29	features	feature	NOUN
brj-24742	235	30	.	.	PUNCT
brj-24742	236	1	this	this	DET
brj-24742	236	2	mechanism	mechanism	NOUN
brj-24742	236	3	impedes	impede	VERB
brj-24742	236	4	the	the	DET
brj-24742	236	5	model	model	NOUN
brj-24742	236	6	’s	’s	PART
brj-24742	236	7	capacity	capacity	NOUN
brj-24742	236	8	to	to	PART
brj-24742	236	9	acquire	acquire	VERB
brj-24742	236	10	critical	critical	ADJ
brj-24742	236	11	characteristics	characteristic	NOUN
brj-24742	236	12	,	,	PUNCT
brj-24742	236	13	including	include	VERB
brj-24742	236	14	wood	wood	NOUN
brj-24742	236	15	speciesspecific	speciesspecific	ADJ
brj-24742	236	16	texture	texture	NOUN
brj-24742	236	17	patterns	pattern	NOUN
brj-24742	236	18	and	and	CCONJ
brj-24742	236	19	tracheid	tracheid	ADJ
brj-24742	236	20	morphology	morphology	NOUN
brj-24742	236	21	.	.	PUNCT
brj-24742	237	1	this	this	PRON
brj-24742	237	2	indicates	indicate	VERB
brj-24742	237	3	that	that	SCONJ
brj-24742	237	4	convnext	convnext	NOUN
brj-24742	237	5	is	be	AUX
brj-24742	237	6	illsuited	illsuite	VERB
brj-24742	237	7	for	for	ADP
brj-24742	237	8	the	the	DET
brj-24742	237	9	classification	classification	NOUN
brj-24742	237	10	of	of	ADP
brj-24742	237	11	wood	wood	NOUN
brj-24742	237	12	cross	cross	ADJ
brj-24742	237	13	-	-	ADJ
brj-24742	237	14	sectional	sectional	ADJ
brj-24742	237	15	images	image	NOUN
brj-24742	237	16	.	.	PUNCT
brj-24742	238	1	fig	fig	NOUN
brj-24742	238	2	.	.	PUNCT
brj-24742	239	1	4	4	X
brj-24742	239	2	.	.	X
brj-24742	239	3	confusion	confusion	NOUN
brj-24742	239	4	matrix	matrix	NOUN
brj-24742	239	5	of	of	ADP
brj-24742	239	6	the	the	DET
brj-24742	239	7	36	36	NUM
brj-24742	239	8	softwood	softwood	NOUN
brj-24742	239	9	species	specie	NOUN
brj-24742	239	10	test	test	NOUN
brj-24742	239	11	set	set	VERB
brj-24742	239	12	using	use	VERB
brj-24742	239	13	swin	swin	PROPN
brj-24742	239	14	-	-	PUNCT
brj-24742	239	15	transformer	transformer	NOUN
brj-24742	239	16	peer	peer	NOUN
brj-24742	239	17	-	-	PUNCT
brj-24742	239	18	reviewed	review	VERB
brj-24742	239	19	article	article	NOUN
brj-24742	239	20	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24742	240	1	tian	tian	PROPN
brj-24742	240	2	et	et	PROPN
brj-24742	240	3	al	al	PROPN
brj-24742	240	4	.	.	PROPN
brj-24742	241	1	(	(	PUNCT
brj-24742	241	2	2026	2026	NUM
brj-24742	241	3	)	)	PUNCT
brj-24742	241	4	.	.	PUNCT
brj-24742	242	1	“	"	PUNCT
brj-24742	242	2	softwood	softwood	NOUN
brj-24742	242	3	classification	classification	NOUN
brj-24742	242	4	for	for	ADP
brj-24742	242	5	design	design	NOUN
brj-24742	242	6	,	,	PUNCT
brj-24742	242	7	”	"	PUNCT
brj-24742	242	8	bioresources	bioresource	NOUN
brj-24742	242	9	21(1	21(1	NUM
brj-24742	242	10	)	)	PUNCT
brj-24742	242	11	,	,	PUNCT
brj-24742	242	12	781	781	NUM
brj-24742	242	13	-	-	SYM
brj-24742	242	14	798	798	NUM
brj-24742	242	15	.	.	PUNCT
brj-24742	243	1	793	793	NUM
brj-24742	243	2	wood	wood	NOUN
brj-24742	243	3	species	specie	NOUN
brj-24742	243	4	identification	identification	NOUN
brj-24742	243	5	was	be	AUX
brj-24742	243	6	investigated	investigate	VERB
brj-24742	243	7	using	use	VERB
brj-24742	243	8	36	36	NUM
brj-24742	243	9	wood	wood	NOUN
brj-24742	243	10	specimens	specimen	NOUN
brj-24742	243	11	,	,	PUNCT
brj-24742	243	12	with	with	ADP
brj-24742	243	13	each	each	DET
brj-24742	243	14	specimen	speciman	NOUN
brj-24742	243	15	in	in	ADP
brj-24742	243	16	the	the	DET
brj-24742	243	17	test	test	NOUN
brj-24742	243	18	set	set	NOUN
brj-24742	243	19	represented	represent	VERB
brj-24742	243	20	by	by	ADP
brj-24742	243	21	96	96	NUM
brj-24742	243	22	images	image	NOUN
brj-24742	243	23	,	,	PUNCT
brj-24742	243	24	totaling	total	VERB
brj-24742	243	25	3,456	3,456	NUM
brj-24742	243	26	images	image	NOUN
brj-24742	243	27	.	.	PUNCT
brj-24742	244	1	figure	figure	VERB
brj-24742	244	2	4	4	NUM
brj-24742	244	3	presents	present	VERB
brj-24742	244	4	the	the	DET
brj-24742	244	5	classification	classification	NOUN
brj-24742	244	6	performance	performance	NOUN
brj-24742	244	7	of	of	ADP
brj-24742	244	8	swin	swin	PROPN
brj-24742	244	9	-	-	PUNCT
brj-24742	244	10	transformer	transformer	NOUN
brj-24742	244	11	on	on	ADP
brj-24742	244	12	the	the	DET
brj-24742	244	13	test	test	NOUN
brj-24742	244	14	set	set	VERB
brj-24742	244	15	using	use	VERB
brj-24742	244	16	a	a	DET
brj-24742	244	17	confusion	confusion	NOUN
brj-24742	244	18	matrix	matrix	NOUN
brj-24742	244	19	.	.	PUNCT
brj-24742	245	1	the	the	DET
brj-24742	245	2	numerical	numerical	ADJ
brj-24742	245	3	labels	label	NOUN
brj-24742	245	4	on	on	ADP
brj-24742	245	5	the	the	DET
brj-24742	245	6	x	x	NOUN
brj-24742	245	7	-	-	NOUN
brj-24742	245	8	axis	axis	NOUN
brj-24742	245	9	of	of	ADP
brj-24742	245	10	the	the	DET
brj-24742	245	11	confusion	confusion	NOUN
brj-24742	245	12	matrix	matrix	NOUN
brj-24742	245	13	correspond	correspond	VERB
brj-24742	245	14	to	to	ADP
brj-24742	245	15	the	the	DET
brj-24742	245	16	true	true	ADJ
brj-24742	245	17	species	specie	NOUN
brj-24742	245	18	categories	category	NOUN
brj-24742	245	19	,	,	PUNCT
brj-24742	245	20	while	while	SCONJ
brj-24742	245	21	the	the	DET
brj-24742	245	22	y	y	NOUN
brj-24742	245	23	-	-	PUNCT
brj-24742	245	24	axis	axis	NOUN
brj-24742	245	25	represents	represent	VERB
brj-24742	245	26	the	the	DET
brj-24742	245	27	predicted	predict	VERB
brj-24742	245	28	species	species	NOUN
brj-24742	245	29	categories	category	NOUN
brj-24742	245	30	.	.	PUNCT
brj-24742	246	1	the	the	DET
brj-24742	246	2	numbers	number	NOUN
brj-24742	246	3	along	along	ADP
brj-24742	246	4	the	the	DET
brj-24742	246	5	diagonal	diagonal	NOUN
brj-24742	246	6	of	of	ADP
brj-24742	246	7	the	the	DET
brj-24742	246	8	confusion	confusion	NOUN
brj-24742	246	9	matrix	matrix	NOUN
brj-24742	246	10	,	,	PUNCT
brj-24742	246	11	from	from	ADP
brj-24742	246	12	the	the	DET
brj-24742	246	13	top	top	NOUN
brj-24742	246	14	left	leave	VERB
brj-24742	246	15	to	to	ADP
brj-24742	246	16	the	the	DET
brj-24742	246	17	bottom	bottom	ADJ
brj-24742	246	18	right	right	NOUN
brj-24742	246	19	,	,	PUNCT
brj-24742	246	20	represent	represent	VERB
brj-24742	246	21	the	the	DET
brj-24742	246	22	number	number	NOUN
brj-24742	246	23	of	of	ADP
brj-24742	246	24	images	image	NOUN
brj-24742	246	25	of	of	ADP
brj-24742	246	26	a	a	DET
brj-24742	246	27	particular	particular	ADJ
brj-24742	246	28	wood	wood	NOUN
brj-24742	246	29	species	specie	NOUN
brj-24742	246	30	that	that	PRON
brj-24742	246	31	were	be	AUX
brj-24742	246	32	correctly	correctly	ADV
brj-24742	246	33	classified	classified	ADJ
brj-24742	246	34	,	,	PUNCT
brj-24742	246	35	where	where	SCONJ
brj-24742	246	36	a	a	DET
brj-24742	246	37	value	value	NOUN
brj-24742	246	38	of	of	ADP
brj-24742	246	39	96	96	NUM
brj-24742	246	40	signifies	signifie	NOUN
brj-24742	246	41	that	that	SCONJ
brj-24742	246	42	all	all	DET
brj-24742	246	43	test	test	NOUN
brj-24742	246	44	images	image	NOUN
brj-24742	246	45	of	of	ADP
brj-24742	246	46	that	that	DET
brj-24742	246	47	species	specie	NOUN
brj-24742	246	48	were	be	AUX
brj-24742	246	49	accurately	accurately	ADV
brj-24742	246	50	identified	identify	VERB
brj-24742	246	51	.	.	PUNCT
brj-24742	247	1	the	the	DET
brj-24742	247	2	offdiagonal	offdiagonal	ADJ
brj-24742	247	3	entries	entry	NOUN
brj-24742	247	4	,	,	PUNCT
brj-24742	247	5	marked	mark	VERB
brj-24742	247	6	in	in	ADP
brj-24742	247	7	red	red	ADJ
brj-24742	247	8	,	,	PUNCT
brj-24742	247	9	denote	denote	VERB
brj-24742	247	10	misclassified	misclassifie	VERB
brj-24742	247	11	images	image	NOUN
brj-24742	247	12	.	.	PUNCT
brj-24742	248	1	the	the	DET
brj-24742	248	2	prediction	prediction	NOUN
brj-24742	248	3	results	result	VERB
brj-24742	248	4	for	for	ADP
brj-24742	248	5	species	specie	NOUN
brj-24742	248	6	no	no	NOUN
brj-24742	248	7	.	.	NOUN
brj-24742	248	8	15	15	NUM
brj-24742	248	9	(	(	PUNCT
brj-24742	248	10	tetraclinis	tetraclinis	NOUN
brj-24742	248	11	articulata	articulata	NOUN
brj-24742	248	12	)	)	PUNCT
brj-24742	248	13	show	show	VERB
brj-24742	248	14	that	that	SCONJ
brj-24742	248	15	95	95	NUM
brj-24742	248	16	images	image	NOUN
brj-24742	248	17	were	be	AUX
brj-24742	248	18	correctly	correctly	ADV
brj-24742	248	19	classified	classified	ADJ
brj-24742	248	20	,	,	PUNCT
brj-24742	248	21	while	while	SCONJ
brj-24742	248	22	one	one	NUM
brj-24742	248	23	image	image	NOUN
brj-24742	248	24	was	be	AUX
brj-24742	248	25	misclassified	misclassifie	VERB
brj-24742	248	26	as	as	ADP
brj-24742	248	27	species	species	NOUN
brj-24742	248	28	no	no	NOUN
brj-24742	248	29	.	.	NOUN
brj-24742	248	30	27	27	NUM
brj-24742	248	31	(	(	PUNCT
brj-24742	248	32	pinus	pinus	NOUN
brj-24742	248	33	greggii	greggii	PROPN
brj-24742	248	34	)	)	PUNCT
brj-24742	248	35	.	.	PUNCT
brj-24742	249	1	to	to	PART
brj-24742	249	2	evaluate	evaluate	VERB
brj-24742	249	3	the	the	DET
brj-24742	249	4	performance	performance	NOUN
brj-24742	249	5	of	of	ADP
brj-24742	249	6	the	the	DET
brj-24742	249	7	swin	swin	PROPN
brj-24742	249	8	-	-	PUNCT
brj-24742	249	9	transformer	transformer	NOUN
brj-24742	249	10	model	model	NOUN
brj-24742	249	11	,	,	PUNCT
brj-24742	249	12	this	this	DET
brj-24742	249	13	study	study	NOUN
brj-24742	249	14	employed	employ	VERB
brj-24742	249	15	accuracy	accuracy	NOUN
brj-24742	249	16	,	,	PUNCT
brj-24742	249	17	precision	precision	NOUN
brj-24742	249	18	,	,	PUNCT
brj-24742	249	19	recall	recall	NOUN
brj-24742	249	20	,	,	PUNCT
brj-24742	249	21	and	and	CCONJ
brj-24742	249	22	f1	f1	NOUN
brj-24742	249	23	-	-	PUNCT
brj-24742	249	24	score	score	NOUN
brj-24742	249	25	as	as	ADP
brj-24742	249	26	metrics	metric	NOUN
brj-24742	249	27	.	.	PUNCT
brj-24742	250	1	the	the	DET
brj-24742	250	2	model	model	NOUN
brj-24742	250	3	achieved	achieve	VERB
brj-24742	250	4	the	the	DET
brj-24742	250	5	highest	high	ADJ
brj-24742	250	6	accuracy	accuracy	NOUN
brj-24742	250	7	,	,	PUNCT
brj-24742	250	8	with	with	ADP
brj-24742	250	9	detailed	detailed	ADJ
brj-24742	250	10	results	result	NOUN
brj-24742	250	11	presented	present	VERB
brj-24742	250	12	in	in	ADP
brj-24742	250	13	table	table	NOUN
brj-24742	250	14	3	3	NUM
brj-24742	250	15	.	.	PUNCT
brj-24742	250	16	table	table	NOUN
brj-24742	250	17	3	3	NUM
brj-24742	250	18	.	.	PUNCT
brj-24742	250	19	wood	wood	NOUN
brj-24742	250	20	classification	classification	NOUN
brj-24742	250	21	indicators	indicator	NOUN
brj-24742	250	22	for	for	ADP
brj-24742	250	23	the	the	DET
brj-24742	250	24	best	good	ADJ
brj-24742	250	25	accurate	accurate	ADJ
brj-24742	250	26	model	model	NOUN
brj-24742	250	27	species	specie	NOUN
brj-24742	250	28	(	(	PUNCT
brj-24742	250	29	no	no	INTJ
brj-24742	250	30	.	.	PUNCT
brj-24742	250	31	)	)	PUNCT
brj-24742	251	1	accuracy	accuracy	NOUN
brj-24742	251	2	precision	precision	NOUN
brj-24742	251	3	recall	recall	NOUN
brj-24742	251	4	f1	f1	PROPN
brj-24742	251	5	score	score	NOUN
brj-24742	251	6	agathis	agathis	PROPN
brj-24742	251	7	beccarii	beccarii	VERB
brj-24742	251	8	(	(	PUNCT
brj-24742	251	9	1	1	NUM
brj-24742	251	10	)	)	PUNCT
brj-24742	251	11	;	;	PUNCT
brj-24742	251	12	araucaria	araucaria	PROPN
brj-24742	251	13	angustifolia	angustifolia	PROPN
brj-24742	251	14	(	(	PUNCT
brj-24742	251	15	2	2	NUM
brj-24742	251	16	)	)	PUNCT
brj-24742	251	17	;	;	PUNCT
brj-24742	251	18	cephalotaxus	cephalotaxus	VERB
brj-24742	251	19	drupacea	drupacea	NOUN
brj-24742	251	20	(	(	PUNCT
brj-24742	251	21	3	3	NUM
brj-24742	251	22	)	)	PUNCT
brj-24742	251	23	;	;	PUNCT
brj-24742	251	24	cephalotaxus	cephalotaxus	VERB
brj-24742	251	25	harringtonia	harringtonia	NOUN
brj-24742	251	26	(	(	PUNCT
brj-24742	251	27	4	4	NUM
brj-24742	251	28	)	)	PUNCT
brj-24742	251	29	;	;	PUNCT
brj-24742	251	30	torreya	torreya	PROPN
brj-24742	251	31	nucifera	nucifera	NOUN
brj-24742	251	32	(	(	PUNCT
brj-24742	251	33	5	5	NUM
brj-24742	251	34	)	)	PUNCT
brj-24742	251	35	;	;	PUNCT
brj-24742	251	36	calocedrus	calocedrus	NOUN
brj-24742	251	37	decurrens	decurren	NOUN
brj-24742	251	38	(	(	PUNCT
brj-24742	251	39	6	6	NUM
brj-24742	251	40	)	)	PUNCT
brj-24742	251	41	;	;	PUNCT
brj-24742	251	42	chamaecyparis	chamaecyparis	PROPN
brj-24742	251	43	formosensis(7	formosensis(7	PROPN
brj-24742	251	44	)	)	PUNCT
brj-24742	251	45	;	;	PUNCT
brj-24742	251	46	chamaecyparis	chamaecyparis	PROPN
brj-24742	251	47	pisifera	pisifera	NOUN
brj-24742	251	48	(	(	PUNCT
brj-24742	251	49	8)	8)	NUM
brj-24742	251	50	;	;	PUNCT
brj-24742	251	51	cupressus	cupressus	NOUN
brj-24742	251	52	arizonica	arizonica	ADV
brj-24742	251	53	(	(	PUNCT
brj-24742	251	54	9	9	NUM
brj-24742	251	55	)	)	PUNCT
brj-24742	251	56	;	;	PUNCT
brj-24742	251	57	cupressus	cupressus	NOUN
brj-24742	251	58	lindleyi	lindleyi	X
brj-24742	251	59	(	(	PUNCT
brj-24742	251	60	10	10	NUM
brj-24742	251	61	)	)	PUNCT
brj-24742	251	62	;	;	PUNCT
brj-24742	251	63	fitzroya	fitzroya	ADJ
brj-24742	251	64	cupressoides	cupressoide	NOUN
brj-24742	251	65	(	(	PUNCT
brj-24742	251	66	11	11	NUM
brj-24742	251	67	)	)	PUNCT
brj-24742	251	68	;	;	PUNCT
brj-24742	251	69	larix	larix	NOUN
brj-24742	251	70	laricina	laricina	PROPN
brj-24742	251	71	(	(	PUNCT
brj-24742	251	72	12	12	NUM
brj-24742	251	73	)	)	PUNCT
brj-24742	251	74	;	;	PUNCT
brj-24742	251	75	larix	larix	NOUN
brj-24742	251	76	leptolepis	leptolepis	PROPN
brj-24742	251	77	(	(	PUNCT
brj-24742	251	78	13	13	NUM
brj-24742	251	79	)	)	PUNCT
brj-24742	251	80	;	;	PUNCT
brj-24742	251	81	larix	larix	PROPN
brj-24742	251	82	sp	sp	PROPN
brj-24742	251	83	.	.	PUNCT
brj-24742	251	84	(	(	PUNCT
brj-24742	251	85	14	14	NUM
brj-24742	251	86	)	)	PUNCT
brj-24742	251	87	;	;	PUNCT
brj-24742	251	88	widdringtonia	widdringtonia	NOUN
brj-24742	251	89	cupressoides	cupressoide	NOUN
brj-24742	251	90	(	(	PUNCT
brj-24742	251	91	16	16	NUM
brj-24742	251	92	)	)	PUNCT
brj-24742	251	93	;	;	PUNCT
brj-24742	251	94	abies	abie	NOUN
brj-24742	251	95	religiosa	religiosa	NOUN
brj-24742	251	96	(	(	PUNCT
brj-24742	251	97	17	17	NUM
brj-24742	251	98	)	)	PUNCT
brj-24742	251	99	;	;	PUNCT
brj-24742	251	100	abies	abie	NOUN
brj-24742	251	101	vejarii	vejarii	NOUN
brj-24742	251	102	(	(	PUNCT
brj-24742	251	103	18	18	NUM
brj-24742	251	104	)	)	PUNCT
brj-24742	251	105	;	;	PUNCT
brj-24742	251	106	cedrus	cedrus	PROPN
brj-24742	251	107	atlantica	atlantica	PROPN
brj-24742	251	108	(	(	PUNCT
brj-24742	251	109	19	19	NUM
brj-24742	251	110	)	)	PUNCT
brj-24742	251	111	;	;	PUNCT
brj-24742	251	112	cedrus	cedrus	PROPN
brj-24742	251	113	libani	libani	NOUN
brj-24742	251	114	(	(	PUNCT
brj-24742	251	115	20	20	NUM
brj-24742	251	116	)	)	PUNCT
brj-24742	251	117	;	;	PUNCT
brj-24742	251	118	cedrus	cedrus	PROPN
brj-24742	251	119	sp	sp	PROPN
brj-24742	251	120	.	.	PROPN
brj-24742	252	1	(	(	PUNCT
brj-24742	252	2	21	21	NUM
brj-24742	252	3	)	)	PUNCT
brj-24742	252	4	;	;	PUNCT
brj-24742	252	5	keteleeria	keteleeria	PROPN
brj-24742	252	6	fortune	fortune	NOUN
brj-24742	252	7	(	(	PUNCT
brj-24742	252	8	22	22	NUM
brj-24742	252	9	)	)	PUNCT
brj-24742	252	10	;	;	PUNCT
brj-24742	252	11	picea	picea	NOUN
brj-24742	252	12	abies	abie	NOUN
brj-24742	252	13	(	(	PUNCT
brj-24742	252	14	23	23	NUM
brj-24742	252	15	)	)	PUNCT
brj-24742	252	16	;	;	PUNCT
brj-24742	252	17	pinus	pinus	NOUN
brj-24742	252	18	arizonica	arizonica	ADV
brj-24742	252	19	(	(	PUNCT
brj-24742	252	20	24	24	NUM
brj-24742	252	21	)	)	PUNCT
brj-24742	252	22	;	;	PUNCT
brj-24742	252	23	pinus	pinus	NOUN
brj-24742	252	24	caribaea	caribaea	NOUN
brj-24742	252	25	(	(	PUNCT
brj-24742	252	26	25	25	NUM
brj-24742	252	27	)	)	PUNCT
brj-24742	252	28	;	;	PUNCT
brj-24742	252	29	pinus	pinus	NOUN
brj-24742	252	30	elliottii	elliottii	NOUN
brj-24742	252	31	(	(	PUNCT
brj-24742	252	32	26);pinus	26);pinus	NUM
brj-24742	252	33	maximinoi	maximinoi	NOUN
brj-24742	252	34	(	(	PUNCT
brj-24742	252	35	28	28	NUM
brj-24742	252	36	)	)	PUNCT
brj-24742	252	37	;	;	PUNCT
brj-24742	252	38	pinus	pinus	NOUN
brj-24742	252	39	taeda	taeda	PROPN
brj-24742	252	40	(	(	PUNCT
brj-24742	252	41	29	29	NUM
brj-24742	252	42	)	)	PUNCT
brj-24742	252	43	;	;	PUNCT
brj-24742	252	44	pseudotsuga	pseudotsuga	PROPN
brj-24742	252	45	macrolepsis	macrolepsis	NOUN
brj-24742	252	46	(	(	PUNCT
brj-24742	252	47	30	30	NUM
brj-24742	252	48	)	)	PUNCT
brj-24742	252	49	;	;	PUNCT
brj-24742	252	50	tsuga	tsuga	ADJ
brj-24742	252	51	canadensis	canadensis	NOUN
brj-24742	252	52	(	(	PUNCT
brj-24742	252	53	31	31	NUM
brj-24742	252	54	)	)	PUNCT
brj-24742	252	55	;	;	PUNCT
brj-24742	252	56	tsuga	tsuga	PROPN
brj-24742	252	57	sp	sp	NOUN
brj-24742	252	58	.	.	PROPN
brj-24742	252	59	(	(	PUNCT
brj-24742	252	60	32	32	NUM
brj-24742	252	61	)	)	PUNCT
brj-24742	252	62	;	;	PUNCT
brj-24742	252	63	podocarpus	podocarpus	PROPN
brj-24742	252	64	lambertii	lambertii	NOUN
brj-24742	252	65	(	(	PUNCT
brj-24742	252	66	33	33	NUM
brj-24742	252	67	)	)	PUNCT
brj-24742	252	68	;	;	PUNCT
brj-24742	252	69	taxus	taxus	NOUN
brj-24742	252	70	baccata	baccata	NOUN
brj-24742	252	71	(	(	PUNCT
brj-24742	252	72	34	34	NUM
brj-24742	252	73	)	)	PUNCT
brj-24742	252	74	;	;	PUNCT
brj-24742	252	75	sequoia	sequoia	NOUN
brj-24742	252	76	sempervirens	semperviren	NOUN
brj-24742	252	77	(	(	PUNCT
brj-24742	252	78	35	35	NUM
brj-24742	252	79	)	)	PUNCT
brj-24742	252	80	;	;	PUNCT
brj-24742	252	81	taxodium	taxodium	NOUN
brj-24742	252	82	distichum	distichum	NOUN
brj-24742	252	83	(	(	PUNCT
brj-24742	252	84	36	36	NUM
brj-24742	252	85	)	)	PUNCT
brj-24742	252	86	;	;	PUNCT
brj-24742	252	87	1.00	1.00	NUM
brj-24742	252	88	1.00	1.00	NUM
brj-24742	252	89	1.00	1.00	NUM
brj-24742	252	90	1.00	1.00	NUM
brj-24742	252	91	tetraclinis	tetraclinis	NOUN
brj-24742	252	92	articulata	articulata	NOUN
brj-24742	252	93	(	(	PUNCT
brj-24742	252	94	15	15	NUM
brj-24742	252	95	)	)	PUNCT
brj-24742	252	96	1.00	1.00	NUM
brj-24742	252	97	1.00	1.00	NUM
brj-24742	252	98	0.99	0.99	NUM
brj-24742	252	99	0.99	0.99	NUM
brj-24742	252	100	pinus	pinus	NOUN
brj-24742	252	101	greggii	greggii	NOUN
brj-24742	252	102	(	(	PUNCT
brj-24742	252	103	27	27	NUM
brj-24742	252	104	)	)	PUNCT
brj-24742	252	105	0.99	0.99	NUM
brj-24742	252	106	0.99	0.99	NUM
brj-24742	252	107	1.00	1.00	NUM
brj-24742	252	108	0.99	0.99	NUM
brj-24742	252	109	the	the	DET
brj-24742	252	110	swin	swin	PROPN
brj-24742	252	111	-	-	PUNCT
brj-24742	252	112	transformer	transformer	NOUN
brj-24742	252	113	model	model	NOUN
brj-24742	252	114	achieved	achieve	VERB
brj-24742	252	115	an	an	DET
brj-24742	252	116	accuracy	accuracy	NOUN
brj-24742	252	117	of	of	ADP
brj-24742	252	118	99.97	99.97	NUM
brj-24742	252	119	%	%	NOUN
brj-24742	252	120	in	in	ADP
brj-24742	252	121	classifying	classify	VERB
brj-24742	252	122	the	the	DET
brj-24742	252	123	cross	cross	ADJ
brj-24742	252	124	-	-	ADJ
brj-24742	252	125	sectional	sectional	ADJ
brj-24742	252	126	microscopic	microscopic	ADJ
brj-24742	252	127	images	image	NOUN
brj-24742	252	128	of	of	ADP
brj-24742	252	129	36	36	NUM
brj-24742	252	130	types	type	NOUN
brj-24742	252	131	of	of	ADP
brj-24742	252	132	softwood	softwood	NOUN
brj-24742	252	133	,	,	PUNCT
brj-24742	252	134	with	with	ADP
brj-24742	252	135	both	both	DET
brj-24742	252	136	precision	precision	NOUN
brj-24742	252	137	and	and	CCONJ
brj-24742	252	138	recall	recall	VERB
brj-24742	252	139	exceeding	exceed	VERB
brj-24742	252	140	99	99	NUM
brj-24742	252	141	%	%	NOUN
brj-24742	252	142	,	,	PUNCT
brj-24742	252	143	and	and	CCONJ
brj-24742	252	144	an	an	DET
brj-24742	252	145	f1	f1	ADJ
brj-24742	252	146	score	score	NOUN
brj-24742	252	147	of	of	ADP
brj-24742	252	148	99	99	NUM
brj-24742	252	149	%	%	NOUN
brj-24742	252	150	.	.	PUNCT
brj-24742	253	1	with	with	ADP
brj-24742	253	2	the	the	DET
brj-24742	253	3	exception	exception	NOUN
brj-24742	253	4	of	of	ADP
brj-24742	253	5	species	specie	NOUN
brj-24742	253	6	no	no	NOUN
brj-24742	253	7	.	.	NOUN
brj-24742	253	8	15	15	NUM
brj-24742	253	9	,	,	PUNCT
brj-24742	253	10	all	all	DET
brj-24742	253	11	other	other	ADJ
brj-24742	253	12	35	35	NUM
brj-24742	253	13	species	specie	NOUN
brj-24742	253	14	achieved	achieve	VERB
brj-24742	253	15	an	an	DET
brj-24742	253	16	accuracy	accuracy	NOUN
brj-24742	253	17	of	of	ADP
brj-24742	253	18	1	1	NUM
brj-24742	253	19	.	.	PUNCT
brj-24742	253	20	out	out	ADP
brj-24742	253	21	of	of	ADP
brj-24742	253	22	3,456	3,456	NUM
brj-24742	253	23	images	image	NOUN
brj-24742	253	24	,	,	PUNCT
brj-24742	253	25	3,455	3,455	NUM
brj-24742	253	26	were	be	AUX
brj-24742	253	27	correctly	correctly	ADV
brj-24742	253	28	identified	identify	VERB
brj-24742	253	29	,	,	PUNCT
brj-24742	253	30	with	with	ADP
brj-24742	253	31	only	only	ADV
brj-24742	253	32	one	one	NUM
brj-24742	253	33	image	image	NOUN
brj-24742	253	34	being	be	AUX
brj-24742	253	35	misclassified	misclassifie	VERB
brj-24742	253	36	.	.	PUNCT
brj-24742	254	1	upon	upon	SCONJ
brj-24742	254	2	analyzing	analyze	VERB
brj-24742	254	3	the	the	DET
brj-24742	254	4	misclassification	misclassification	NOUN
brj-24742	254	5	of	of	ADP
brj-24742	254	6	species	specie	NOUN
brj-24742	254	7	no	no	NOUN
brj-24742	254	8	.	.	NOUN
brj-24742	254	9	15	15	NUM
brj-24742	254	10	(	(	PUNCT
brj-24742	254	11	tetraclinis	tetraclinis	NOUN
brj-24742	254	12	articulata	articulata	PROPN
brj-24742	254	13	)	)	PUNCT
brj-24742	254	14	,	,	PUNCT
brj-24742	254	15	it	it	PRON
brj-24742	254	16	was	be	AUX
brj-24742	254	17	found	find	VERB
brj-24742	254	18	that	that	SCONJ
brj-24742	254	19	the	the	DET
brj-24742	254	20	wood	wood	NOUN
brj-24742	254	21	texture	texture	NOUN
brj-24742	254	22	closely	closely	ADV
brj-24742	254	23	resembled	resemble	VERB
brj-24742	254	24	the	the	DET
brj-24742	254	25	image	image	NOUN
brj-24742	254	26	features	feature	NOUN
brj-24742	254	27	of	of	ADP
brj-24742	254	28	species	specie	NOUN
brj-24742	254	29	no	no	NOUN
brj-24742	254	30	.	.	NOUN
brj-24742	254	31	27	27	NUM
brj-24742	254	32	(	(	PUNCT
brj-24742	254	33	pinus	pinus	NOUN
brj-24742	254	34	greggii	greggii	NOUN
brj-24742	254	35	)	)	PUNCT
brj-24742	254	36	in	in	ADP
brj-24742	254	37	the	the	DET
brj-24742	254	38	training	training	NOUN
brj-24742	254	39	set	set	NOUN
brj-24742	254	40	.	.	PUNCT
brj-24742	255	1	the	the	DET
brj-24742	255	2	w	w	PROPN
brj-24742	255	3	-	-	PUNCT
brj-24742	255	4	mas	mas	ADJ
brj-24742	255	5	and	and	CCONJ
brj-24742	255	6	swmas	swmas	ADJ
brj-24742	255	7	mechanisms	mechanism	NOUN
brj-24742	255	8	in	in	ADP
brj-24742	255	9	swin	swin	PROPN
brj-24742	255	10	-	-	PUNCT
brj-24742	255	11	transformer	transformer	NOUN
brj-24742	255	12	are	be	AUX
brj-24742	255	13	capable	capable	ADJ
brj-24742	255	14	of	of	ADP
brj-24742	255	15	capturing	capture	VERB
brj-24742	255	16	low	low	ADJ
brj-24742	255	17	-	-	PUNCT
brj-24742	255	18	dimensional	dimensional	ADJ
brj-24742	255	19	structures	structure	NOUN
brj-24742	255	20	,	,	PUNCT
brj-24742	255	21	such	such	ADJ
brj-24742	255	22	as	as	ADP
brj-24742	255	23	the	the	DET
brj-24742	255	24	wood	wood	NOUN
brj-24742	255	25	texture	texture	NOUN
brj-24742	255	26	,	,	PUNCT
brj-24742	255	27	tracheids	tracheid	NOUN
brj-24742	255	28	,	,	PUNCT
brj-24742	255	29	and	and	CCONJ
brj-24742	255	30	rays	ray	NOUN
brj-24742	255	31	,	,	PUNCT
brj-24742	255	32	in	in	ADP
brj-24742	255	33	the	the	DET
brj-24742	255	34	cross	cross	ADJ
brj-24742	255	35	-	-	ADJ
brj-24742	255	36	sectional	sectional	ADJ
brj-24742	255	37	images	image	NOUN
brj-24742	255	38	,	,	PUNCT
brj-24742	255	39	while	while	SCONJ
brj-24742	255	40	also	also	ADV
brj-24742	255	41	integrating	integrate	VERB
brj-24742	255	42	contextual	contextual	ADJ
brj-24742	255	43	semantic	semantic	ADJ
brj-24742	255	44	information	information	NOUN
brj-24742	255	45	at	at	ADP
brj-24742	255	46	higher	high	ADJ
brj-24742	255	47	dimensions	dimension	NOUN
brj-24742	255	48	to	to	PART
brj-24742	255	49	extract	extract	VERB
brj-24742	255	50	features	feature	NOUN
brj-24742	255	51	for	for	ADP
brj-24742	255	52	classification	classification	NOUN
brj-24742	255	53	.	.	PUNCT
brj-24742	256	1	peer	peer	NOUN
brj-24742	256	2	-	-	PUNCT
brj-24742	256	3	reviewed	review	VERB
brj-24742	256	4	article	article	NOUN
brj-24742	256	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24742	256	6	tian	tian	PROPN
brj-24742	256	7	et	et	PROPN
brj-24742	256	8	al	al	PROPN
brj-24742	256	9	.	.	PROPN
brj-24742	257	1	(	(	PUNCT
brj-24742	257	2	2026	2026	NUM
brj-24742	257	3	)	)	PUNCT
brj-24742	257	4	.	.	PUNCT
brj-24742	258	1	“	"	PUNCT
brj-24742	258	2	softwood	softwood	NOUN
brj-24742	258	3	classification	classification	NOUN
brj-24742	258	4	for	for	ADP
brj-24742	258	5	design	design	NOUN
brj-24742	258	6	,	,	PUNCT
brj-24742	258	7	”	"	PUNCT
brj-24742	258	8	bioresources	bioresource	NOUN
brj-24742	258	9	21(1	21(1	NUM
brj-24742	258	10	)	)	PUNCT
brj-24742	258	11	,	,	PUNCT
brj-24742	258	12	781	781	NUM
brj-24742	258	13	-	-	SYM
brj-24742	258	14	798	798	NUM
brj-24742	258	15	.	.	PUNCT
brj-24742	259	1	794	794	NUM
brj-24742	259	2	in	in	ADP
brj-24742	259	3	view	view	NOUN
brj-24742	259	4	of	of	ADP
brj-24742	259	5	the	the	DET
brj-24742	259	6	misclassification	misclassification	NOUN
brj-24742	259	7	phenomenon	phenomenon	NOUN
brj-24742	259	8	when	when	SCONJ
brj-24742	259	9	species	species	NOUN
brj-24742	259	10	no	no	NOUN
brj-24742	259	11	.	.	NOUN
brj-24742	259	12	15	15	NUM
brj-24742	259	13	were	be	AUX
brj-24742	259	14	classified	classify	VERB
brj-24742	259	15	by	by	ADP
brj-24742	259	16	swin	swin	PROPN
brj-24742	259	17	transformer	transformer	PROPN
brj-24742	259	18	method	method	NOUN
brj-24742	259	19	,	,	PUNCT
brj-24742	259	20	the	the	DET
brj-24742	259	21	authors	author	NOUN
brj-24742	259	22	randomly	randomly	ADV
brj-24742	259	23	selected	select	VERB
brj-24742	259	24	the	the	DET
brj-24742	259	25	cross	cross	ADJ
brj-24742	259	26	-	-	ADJ
brj-24742	259	27	section	section	ADJ
brj-24742	259	28	images	image	NOUN
brj-24742	259	29	of	of	ADP
brj-24742	259	30	species	specie	NOUN
brj-24742	259	31	no	no	NOUN
brj-24742	259	32	.	.	NOUN
brj-24742	259	33	15	15	NUM
brj-24742	259	34	and	and	CCONJ
brj-24742	259	35	species	specie	NOUN
brj-24742	259	36	no	no	NOUN
brj-24742	259	37	.	.	NOUN
brj-24742	259	38	27	27	NUM
brj-24742	259	39	and	and	CCONJ
brj-24742	259	40	used	use	VERB
brj-24742	259	41	gradient	gradient	NOUN
brj-24742	259	42	-	-	PUNCT
brj-24742	259	43	weighted	weight	VERB
brj-24742	259	44	class	class	NOUN
brj-24742	259	45	activation	activation	NOUN
brj-24742	259	46	mapping	mapping	NOUN
brj-24742	259	47	(	(	PUNCT
brj-24742	259	48	grad	grad	PROPN
brj-24742	259	49	cam	cam	PROPN
brj-24742	259	50	)	)	PUNCT
brj-24742	259	51	to	to	PART
brj-24742	259	52	generate	generate	VERB
brj-24742	259	53	class	class	NOUN
brj-24742	259	54	activation	activation	NOUN
brj-24742	259	55	maps	map	NOUN
brj-24742	259	56	.	.	PUNCT
brj-24742	260	1	the	the	DET
brj-24742	260	2	distribution	distribution	NOUN
brj-24742	260	3	of	of	ADP
brj-24742	260	4	model	model	NOUN
brj-24742	260	5	-	-	PUNCT
brj-24742	260	6	activated	activate	VERB
brj-24742	260	7	regions	region	NOUN
brj-24742	260	8	in	in	ADP
brj-24742	260	9	the	the	DET
brj-24742	260	10	image	image	NOUN
brj-24742	260	11	is	be	AUX
brj-24742	260	12	shown	show	VERB
brj-24742	260	13	in	in	ADP
brj-24742	260	14	fig	fig	NOUN
brj-24742	260	15	.	.	PUNCT
brj-24742	261	1	5	5	NUM
brj-24742	261	2	,	,	PUNCT
brj-24742	261	3	where	where	SCONJ
brj-24742	261	4	the	the	DET
brj-24742	261	5	red	red	ADJ
brj-24742	261	6	color	color	NOUN
brj-24742	261	7	is	be	AUX
brj-24742	261	8	the	the	DET
brj-24742	261	9	region	region	NOUN
brj-24742	261	10	activated	activate	VERB
brj-24742	261	11	by	by	ADP
brj-24742	261	12	the	the	DET
brj-24742	261	13	model	model	NOUN
brj-24742	261	14	(	(	PUNCT
brj-24742	261	15	i.e.	i.e.	X
brj-24742	261	16	,	,	PUNCT
brj-24742	261	17	the	the	DET
brj-24742	261	18	high	high	ADJ
brj-24742	261	19	correlation	correlation	NOUN
brj-24742	261	20	region	region	NOUN
brj-24742	261	21	)	)	PUNCT
brj-24742	261	22	,	,	PUNCT
brj-24742	261	23	which	which	PRON
brj-24742	261	24	represents	represent	VERB
brj-24742	261	25	the	the	DET
brj-24742	261	26	key	key	ADJ
brj-24742	261	27	focus	focus	NOUN
brj-24742	261	28	structure	structure	NOUN
brj-24742	261	29	of	of	ADP
brj-24742	261	30	interest	interest	NOUN
brj-24742	261	31	to	to	ADP
brj-24742	261	32	the	the	DET
brj-24742	261	33	model	model	NOUN
brj-24742	261	34	;	;	PUNCT
brj-24742	261	35	and	and	CCONJ
brj-24742	261	36	the	the	DET
brj-24742	261	37	blue	blue	ADJ
brj-24742	261	38	color	color	NOUN
brj-24742	261	39	is	be	AUX
brj-24742	261	40	the	the	DET
brj-24742	261	41	non	non	ADJ
brj-24742	261	42	-	-	ADJ
brj-24742	261	43	interested	interested	ADJ
brj-24742	261	44	structure	structure	NOUN
brj-24742	261	45	(	(	PUNCT
brj-24742	261	46	i.e.	i.e.	X
brj-24742	261	47	,	,	PUNCT
brj-24742	261	48	the	the	DET
brj-24742	261	49	low	low	ADJ
brj-24742	261	50	correlation	correlation	NOUN
brj-24742	261	51	region	region	NOUN
brj-24742	261	52	)	)	PUNCT
brj-24742	261	53	,	,	PUNCT
brj-24742	261	54	to	to	PART
brj-24742	261	55	which	which	PRON
brj-24742	261	56	the	the	DET
brj-24742	261	57	model	model	NOUN
brj-24742	261	58	pays	pay	VERB
brj-24742	261	59	less	less	ADJ
brj-24742	261	60	attention	attention	NOUN
brj-24742	261	61	.	.	PUNCT
brj-24742	262	1	it	it	PRON
brj-24742	262	2	can	can	AUX
brj-24742	262	3	be	be	AUX
brj-24742	262	4	noted	note	VERB
brj-24742	262	5	that	that	SCONJ
brj-24742	262	6	the	the	DET
brj-24742	262	7	high	high	ADJ
brj-24742	262	8	-	-	PUNCT
brj-24742	262	9	correlation	correlation	NOUN
brj-24742	262	10	regions	region	NOUN
brj-24742	262	11	are	be	AUX
brj-24742	262	12	mainly	mainly	ADV
brj-24742	262	13	concentrated	concentrate	VERB
brj-24742	262	14	in	in	ADP
brj-24742	262	15	wood	wood	NOUN
brj-24742	262	16	rays	ray	NOUN
brj-24742	262	17	and	and	CCONJ
brj-24742	262	18	tracheids	tracheid	NOUN
brj-24742	262	19	,	,	PUNCT
brj-24742	262	20	especially	especially	ADV
brj-24742	262	21	focusing	focus	VERB
brj-24742	262	22	on	on	ADP
brj-24742	262	23	the	the	DET
brj-24742	262	24	structure	structure	NOUN
brj-24742	262	25	of	of	ADP
brj-24742	262	26	that	that	PRON
brj-24742	262	27	of	of	ADP
brj-24742	262	28	the	the	DET
brj-24742	262	29	earlywood	earlywood	NOUN
brj-24742	262	30	,	,	PUNCT
brj-24742	262	31	indicating	indicate	VERB
brj-24742	262	32	that	that	SCONJ
brj-24742	262	33	they	they	PRON
brj-24742	262	34	are	be	AUX
brj-24742	262	35	an	an	DET
brj-24742	262	36	important	important	ADJ
brj-24742	262	37	basis	basis	NOUN
brj-24742	262	38	for	for	ADP
brj-24742	262	39	judging	judge	VERB
brj-24742	262	40	the	the	DET
brj-24742	262	41	tree	tree	NOUN
brj-24742	262	42	species	specie	NOUN
brj-24742	262	43	category	category	NOUN
brj-24742	262	44	.	.	PUNCT
brj-24742	263	1	fig	fig	NOUN
brj-24742	263	2	.	.	PUNCT
brj-24742	264	1	5	5	X
brj-24742	264	2	.	.	X
brj-24742	264	3	class	class	NOUN
brj-24742	264	4	activation	activation	NOUN
brj-24742	264	5	map	map	NOUN
brj-24742	264	6	of	of	ADP
brj-24742	264	7	tetraclinis	tetraclinis	NOUN
brj-24742	264	8	articulata	articulata	NOUN
brj-24742	264	9	(	(	PUNCT
brj-24742	264	10	no	no	INTJ
brj-24742	264	11	.	.	NOUN
brj-24742	264	12	15	15	NUM
brj-24742	264	13	)	)	PUNCT
brj-24742	264	14	and	and	CCONJ
brj-24742	264	15	pinus	pinus	NOUN
brj-24742	264	16	greggii	greggii	NOUN
brj-24742	264	17	(	(	PUNCT
brj-24742	264	18	no	no	INTJ
brj-24742	264	19	.	.	NOUN
brj-24742	264	20	27	27	NUM
brj-24742	264	21	)	)	PUNCT
brj-24742	264	22	to	to	PART
brj-24742	264	23	further	far	ADV
brj-24742	264	24	investigate	investigate	VERB
brj-24742	264	25	the	the	DET
brj-24742	264	26	cause	cause	NOUN
brj-24742	264	27	of	of	ADP
brj-24742	264	28	the	the	DET
brj-24742	264	29	misclassification	misclassification	NOUN
brj-24742	264	30	,	,	PUNCT
brj-24742	264	31	a	a	DET
brj-24742	264	32	comparison	comparison	NOUN
brj-24742	264	33	was	be	AUX
brj-24742	264	34	made	make	VERB
brj-24742	264	35	between	between	ADP
brj-24742	264	36	the	the	DET
brj-24742	264	37	cross	cross	ADJ
brj-24742	264	38	-	-	ADJ
brj-24742	264	39	sectional	sectional	ADJ
brj-24742	264	40	texture	texture	ADJ
brj-24742	264	41	structures	structure	NOUN
brj-24742	264	42	of	of	ADP
brj-24742	264	43	species	specie	NOUN
brj-24742	264	44	no	no	NOUN
brj-24742	264	45	.	.	NOUN
brj-24742	264	46	15	15	NUM
brj-24742	264	47	and	and	CCONJ
brj-24742	264	48	the	the	DET
brj-24742	264	49	misclassified	misclassifie	VERB
brj-24742	264	50	species	specie	NOUN
brj-24742	264	51	no	no	NOUN
brj-24742	264	52	.	.	NOUN
brj-24742	265	1	27	27	NUM
brj-24742	265	2	.	.	PUNCT
brj-24742	266	1	as	as	SCONJ
brj-24742	266	2	shown	show	VERB
brj-24742	266	3	in	in	ADP
brj-24742	266	4	fig	fig	NOUN
brj-24742	266	5	.	.	PUNCT
brj-24742	267	1	6	6	NUM
brj-24742	267	2	,	,	PUNCT
brj-24742	267	3	the	the	DET
brj-24742	267	4	upper	upper	ADJ
brj-24742	267	5	row	row	NOUN
brj-24742	267	6	displays	display	VERB
brj-24742	267	7	images	image	NOUN
brj-24742	267	8	of	of	ADP
brj-24742	267	9	tetraclinis	tetraclinis	NOUN
brj-24742	267	10	articulata	articulata	NOUN
brj-24742	267	11	from	from	ADP
brj-24742	267	12	the	the	DET
brj-24742	267	13	test	test	NOUN
brj-24742	267	14	set	set	NOUN
brj-24742	267	15	,	,	PUNCT
brj-24742	267	16	while	while	SCONJ
brj-24742	267	17	the	the	DET
brj-24742	267	18	lower	low	ADJ
brj-24742	267	19	row	row	NOUN
brj-24742	267	20	shows	show	VERB
brj-24742	267	21	images	image	NOUN
brj-24742	267	22	of	of	ADP
brj-24742	267	23	pinus	pinus	NOUN
brj-24742	267	24	greggii	greggii	NOUN
brj-24742	267	25	from	from	ADP
brj-24742	267	26	the	the	DET
brj-24742	267	27	training	training	NOUN
brj-24742	267	28	set	set	NOUN
brj-24742	267	29	.	.	PUNCT
brj-24742	268	1	the	the	DET
brj-24742	268	2	textures	texture	NOUN
brj-24742	268	3	of	of	ADP
brj-24742	268	4	these	these	DET
brj-24742	268	5	images	image	NOUN
brj-24742	268	6	are	be	AUX
brj-24742	268	7	strikingly	strikingly	ADV
brj-24742	268	8	similar	similar	ADJ
brj-24742	268	9	,	,	PUNCT
brj-24742	268	10	indicating	indicate	VERB
brj-24742	268	11	that	that	SCONJ
brj-24742	268	12	the	the	DET
brj-24742	268	13	cross	cross	ADJ
brj-24742	268	14	-	-	ADJ
brj-24742	268	15	sectional	sectional	ADJ
brj-24742	268	16	image	image	NOUN
brj-24742	268	17	features	feature	NOUN
brj-24742	268	18	of	of	ADP
brj-24742	268	19	these	these	DET
brj-24742	268	20	two	two	NUM
brj-24742	268	21	species	specie	NOUN
brj-24742	268	22	are	be	AUX
brj-24742	268	23	highly	highly	ADV
brj-24742	268	24	prone	prone	ADJ
brj-24742	268	25	to	to	ADP
brj-24742	268	26	confusion	confusion	NOUN
brj-24742	268	27	.	.	PUNCT
brj-24742	269	1	fig	fig	NOUN
brj-24742	269	2	.	.	PUNCT
brj-24742	270	1	6	6	NUM
brj-24742	270	2	.	.	NUM
brj-24742	270	3	images	image	NOUN
brj-24742	270	4	of	of	ADP
brj-24742	270	5	tetraclinis	tetraclinis	NOUN
brj-24742	270	6	articulata	articulata	NOUN
brj-24742	270	7	(	(	PUNCT
brj-24742	270	8	no	no	INTJ
brj-24742	270	9	.	.	NOUN
brj-24742	270	10	15	15	NUM
brj-24742	270	11	)	)	PUNCT
brj-24742	270	12	and	and	CCONJ
brj-24742	270	13	pinus	pinus	NOUN
brj-24742	270	14	greggii	greggii	NOUN
brj-24742	270	15	(	(	PUNCT
brj-24742	270	16	no	no	INTJ
brj-24742	270	17	.	.	NOUN
brj-24742	270	18	27	27	NUM
brj-24742	270	19	)	)	PUNCT
brj-24742	270	20	a	a	DET
brj-24742	270	21	detailed	detailed	ADJ
brj-24742	270	22	analysis	analysis	NOUN
brj-24742	270	23	revealed	reveal	VERB
brj-24742	270	24	that	that	SCONJ
brj-24742	270	25	the	the	DET
brj-24742	270	26	ray	ray	NOUN
brj-24742	270	27	cell	cell	NOUN
brj-24742	270	28	walls	wall	NOUN
brj-24742	270	29	of	of	ADP
brj-24742	270	30	tetraclinis	tetraclinis	NOUN
brj-24742	270	31	articulata	articulata	NOUN
brj-24742	270	32	are	be	AUX
brj-24742	270	33	thin	thin	ADJ
brj-24742	270	34	,	,	PUNCT
brj-24742	270	35	with	with	ADP
brj-24742	270	36	earlywood	earlywood	NOUN
brj-24742	270	37	tracheid	tracheid	NOUN
brj-24742	270	38	diameters	diameter	NOUN
brj-24742	270	39	ranging	range	VERB
brj-24742	270	40	from	from	ADP
brj-24742	270	41	18	18	NUM
brj-24742	270	42	to	to	PART
brj-24742	270	43	30	30	NUM
brj-24742	270	44	μm	μm	NOUN
brj-24742	270	45	.	.	PUNCT
brj-24742	271	1	the	the	DET
brj-24742	271	2	cross	cross	ADJ
brj-24742	271	3	-	-	ADJ
brj-24742	271	4	sectional	sectional	ADJ
brj-24742	271	5	shape	shape	NOUN
brj-24742	271	6	of	of	ADP
brj-24742	271	7	the	the	DET
brj-24742	271	8	tracheid	tracheid	NOUN
brj-24742	271	9	is	be	AUX
brj-24742	271	10	polygonal	polygonal	ADJ
brj-24742	271	11	,	,	PUNCT
brj-24742	271	12	rectangular	rectangular	ADJ
brj-24742	271	13	,	,	PUNCT
brj-24742	271	14	and	and	CCONJ
brj-24742	271	15	square	square	ADJ
brj-24742	271	16	,	,	PUNCT
brj-24742	271	17	while	while	SCONJ
brj-24742	271	18	the	the	DET
brj-24742	271	19	cross	cross	ADJ
brj-24742	271	20	-	-	ADJ
brj-24742	271	21	sectional	sectional	ADJ
brj-24742	271	22	shape	shape	NOUN
brj-24742	271	23	of	of	ADP
brj-24742	271	24	latewood	latewood	PROPN
brj-24742	271	25	tracheid	tracheid	PROPN
brj-24742	271	26	is	be	AUX
brj-24742	271	27	oval	oval	NOUN
brj-24742	271	28	and	and	CCONJ
brj-24742	271	29	square	square	ADJ
brj-24742	271	30	.	.	PUNCT
brj-24742	272	1	in	in	ADP
brj-24742	272	2	contrast	contrast	NOUN
brj-24742	272	3	,	,	PUNCT
brj-24742	272	4	the	the	DET
brj-24742	272	5	ray	ray	NOUN
brj-24742	272	6	cell	cell	NOUN
brj-24742	272	7	walls	wall	NOUN
brj-24742	272	8	of	of	ADP
brj-24742	272	9	pinus	pinus	NOUN
brj-24742	272	10	greggii	greggii	NOUN
brj-24742	272	11	are	be	AUX
brj-24742	272	12	peer	peer	NOUN
brj-24742	272	13	-	-	PUNCT
brj-24742	272	14	reviewed	review	VERB
brj-24742	272	15	article	article	NOUN
brj-24742	272	16	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24742	273	1	tian	tian	PROPN
brj-24742	273	2	et	et	PROPN
brj-24742	273	3	al	al	PROPN
brj-24742	273	4	.	.	PROPN
brj-24742	274	1	(	(	PUNCT
brj-24742	274	2	2026	2026	NUM
brj-24742	274	3	)	)	PUNCT
brj-24742	274	4	.	.	PUNCT
brj-24742	275	1	“	"	PUNCT
brj-24742	275	2	softwood	softwood	NOUN
brj-24742	275	3	classification	classification	NOUN
brj-24742	275	4	for	for	ADP
brj-24742	275	5	design	design	NOUN
brj-24742	275	6	,	,	PUNCT
brj-24742	275	7	”	"	PUNCT
brj-24742	275	8	bioresources	bioresource	NOUN
brj-24742	275	9	21(1	21(1	NUM
brj-24742	275	10	)	)	PUNCT
brj-24742	275	11	,	,	PUNCT
brj-24742	275	12	781	781	NUM
brj-24742	275	13	-	-	SYM
brj-24742	275	14	798	798	NUM
brj-24742	275	15	.	.	NOUN
brj-24742	275	16	795	795	NUM
brj-24742	275	17	also	also	ADV
brj-24742	275	18	thin	thin	ADJ
brj-24742	275	19	,	,	PUNCT
brj-24742	275	20	with	with	ADP
brj-24742	275	21	earlywood	earlywood	NOUN
brj-24742	275	22	tracheid	tracheid	NOUN
brj-24742	275	23	diameters	diameter	NOUN
brj-24742	275	24	similar	similar	ADJ
brj-24742	275	25	to	to	ADP
brj-24742	275	26	those	those	PRON
brj-24742	275	27	of	of	ADP
brj-24742	275	28	tetraclinis	tetraclinis	NOUN
brj-24742	275	29	articulata	articulata	NOUN
brj-24742	275	30	.	.	PUNCT
brj-24742	276	1	the	the	DET
brj-24742	276	2	cross	cross	ADJ
brj-24742	276	3	-	-	ADJ
brj-24742	276	4	sectional	sectional	ADJ
brj-24742	276	5	shape	shape	NOUN
brj-24742	276	6	of	of	ADP
brj-24742	276	7	the	the	DET
brj-24742	276	8	tracheid	tracheid	NOUN
brj-24742	276	9	is	be	AUX
brj-24742	276	10	predominantly	predominantly	ADV
brj-24742	276	11	oval	oval	ADJ
brj-24742	276	12	or	or	CCONJ
brj-24742	276	13	circular	circular	ADJ
brj-24742	276	14	,	,	PUNCT
brj-24742	276	15	with	with	ADP
brj-24742	276	16	some	some	PRON
brj-24742	276	17	being	be	AUX
brj-24742	276	18	polygonal	polygonal	ADJ
brj-24742	276	19	,	,	PUNCT
brj-24742	276	20	while	while	SCONJ
brj-24742	276	21	the	the	DET
brj-24742	276	22	latewood	latewood	PROPN
brj-24742	276	23	tracheid	tracheid	PROPN
brj-24742	276	24	cross	cross	PROPN
brj-24742	276	25	-	-	NOUN
brj-24742	276	26	sections	section	NOUN
brj-24742	276	27	are	be	AUX
brj-24742	276	28	elongated	elongate	VERB
brj-24742	276	29	oval	oval	NOUN
brj-24742	276	30	or	or	CCONJ
brj-24742	276	31	rectangular	rectangular	ADJ
brj-24742	276	32	.	.	PUNCT
brj-24742	277	1	upon	upon	SCONJ
brj-24742	277	2	examining	examine	VERB
brj-24742	277	3	these	these	DET
brj-24742	277	4	images	image	NOUN
brj-24742	277	5	,	,	PUNCT
brj-24742	277	6	three	three	NUM
brj-24742	277	7	common	common	ADJ
brj-24742	277	8	features	feature	NOUN
brj-24742	277	9	were	be	AUX
brj-24742	277	10	identified	identify	VERB
brj-24742	277	11	.	.	PUNCT
brj-24742	278	1	the	the	DET
brj-24742	278	2	left	left	ADJ
brj-24742	278	3	half	half	NOUN
brj-24742	278	4	of	of	ADP
brj-24742	278	5	the	the	DET
brj-24742	278	6	image	image	NOUN
brj-24742	278	7	contains	contain	VERB
brj-24742	278	8	one	one	NUM
brj-24742	278	9	annual	annual	ADJ
brj-24742	278	10	ring	ring	NOUN
brj-24742	278	11	,	,	PUNCT
brj-24742	278	12	exhibiting	exhibit	VERB
brj-24742	278	13	curved	curved	ADJ
brj-24742	278	14	diagonal	diagonal	ADJ
brj-24742	278	15	lines	line	NOUN
brj-24742	278	16	.	.	PUNCT
brj-24742	279	1	three	three	NUM
brj-24742	279	2	rays	ray	NOUN
brj-24742	279	3	traverse	traverse	VERB
brj-24742	279	4	the	the	DET
brj-24742	279	5	image	image	NOUN
brj-24742	279	6	horizontally	horizontally	ADV
brj-24742	279	7	,	,	PUNCT
brj-24742	279	8	with	with	ADP
brj-24742	279	9	uniform	uniform	ADJ
brj-24742	279	10	spacing	spacing	NOUN
brj-24742	279	11	.	.	PUNCT
brj-24742	280	1	the	the	DET
brj-24742	280	2	tracheid	tracheid	NOUN
brj-24742	280	3	diameters	diameter	NOUN
brj-24742	280	4	around	around	ADP
brj-24742	280	5	the	the	DET
brj-24742	280	6	annual	annual	ADJ
brj-24742	280	7	ring	ring	NOUN
brj-24742	280	8	are	be	AUX
brj-24742	280	9	smaller	small	ADJ
brj-24742	280	10	,	,	PUNCT
brj-24742	280	11	and	and	CCONJ
brj-24742	280	12	the	the	DET
brj-24742	280	13	size	size	NOUN
brj-24742	280	14	and	and	CCONJ
brj-24742	280	15	shape	shape	NOUN
brj-24742	280	16	in	in	ADP
brj-24742	280	17	the	the	DET
brj-24742	280	18	other	other	ADJ
brj-24742	280	19	regions	region	NOUN
brj-24742	280	20	are	be	AUX
brj-24742	280	21	similar	similar	ADJ
brj-24742	280	22	.	.	PUNCT
brj-24742	281	1	these	these	DET
brj-24742	281	2	features	feature	NOUN
brj-24742	281	3	were	be	AUX
brj-24742	281	4	also	also	ADV
brj-24742	281	5	observed	observe	VERB
brj-24742	281	6	in	in	ADP
brj-24742	281	7	the	the	DET
brj-24742	281	8	misclassified	misclassifie	VERB
brj-24742	281	9	images	image	NOUN
brj-24742	281	10	,	,	PUNCT
brj-24742	281	11	and	and	CCONJ
brj-24742	281	12	the	the	DET
brj-24742	281	13	ray	ray	NOUN
brj-24742	281	14	arrangement	arrangement	NOUN
brj-24742	281	15	of	of	ADP
brj-24742	281	16	the	the	DET
brj-24742	281	17	two	two	NUM
brj-24742	281	18	species	specie	NOUN
brj-24742	281	19	was	be	AUX
brj-24742	281	20	identical	identical	ADJ
brj-24742	281	21	.	.	PUNCT
brj-24742	282	1	although	although	SCONJ
brj-24742	282	2	the	the	DET
brj-24742	282	3	swin	swin	PROPN
brj-24742	282	4	-	-	PUNCT
brj-24742	282	5	transformer	transformer	NOUN
brj-24742	282	6	model	model	NOUN
brj-24742	282	7	did	do	AUX
brj-24742	282	8	not	not	PART
brj-24742	282	9	achieve	achieve	VERB
brj-24742	282	10	perfect	perfect	ADJ
brj-24742	282	11	accuracy	accuracy	NOUN
brj-24742	282	12	in	in	ADP
brj-24742	282	13	classifying	classify	VERB
brj-24742	282	14	the	the	DET
brj-24742	282	15	36	36	NUM
brj-24742	282	16	softwood	softwood	NOUN
brj-24742	282	17	species	specie	NOUN
brj-24742	282	18	,	,	PUNCT
brj-24742	282	19	its	its	PRON
brj-24742	282	20	classification	classification	NOUN
brj-24742	282	21	accuracy	accuracy	NOUN
brj-24742	282	22	was	be	AUX
brj-24742	282	23	already	already	ADV
brj-24742	282	24	exceptionally	exceptionally	ADV
brj-24742	282	25	high	high	ADJ
brj-24742	282	26	,	,	PUNCT
brj-24742	282	27	demonstrating	demonstrate	VERB
brj-24742	282	28	outstanding	outstanding	ADJ
brj-24742	282	29	performance	performance	NOUN
brj-24742	282	30	.	.	PUNCT
brj-24742	283	1	conclusions	conclusion	NOUN
brj-24742	283	2	1	1	X
brj-24742	283	3	.	.	PUNCT
brj-24742	284	1	this	this	DET
brj-24742	284	2	paper	paper	NOUN
brj-24742	284	3	describes	describe	VERB
brj-24742	284	4	the	the	DET
brj-24742	284	5	application	application	NOUN
brj-24742	284	6	background	background	NOUN
brj-24742	284	7	of	of	ADP
brj-24742	284	8	softwood	softwood	NOUN
brj-24742	284	9	in	in	ADP
brj-24742	284	10	the	the	DET
brj-24742	284	11	construction	construction	NOUN
brj-24742	284	12	and	and	CCONJ
brj-24742	284	13	decoration	decoration	NOUN
brj-24742	284	14	fields	field	NOUN
brj-24742	284	15	,	,	PUNCT
brj-24742	284	16	and	and	CCONJ
brj-24742	284	17	presents	present	VERB
brj-24742	284	18	cross	cross	ADJ
brj-24742	284	19	-	-	ADJ
brj-24742	284	20	sectional	sectional	ADJ
brj-24742	284	21	images	image	NOUN
brj-24742	284	22	of	of	ADP
brj-24742	284	23	36	36	NUM
brj-24742	284	24	softwood	softwood	NOUN
brj-24742	284	25	species	specie	NOUN
brj-24742	284	26	.	.	PUNCT
brj-24742	285	1	it	it	PRON
brj-24742	285	2	proposes	propose	VERB
brj-24742	285	3	the	the	DET
brj-24742	285	4	use	use	NOUN
brj-24742	285	5	of	of	ADP
brj-24742	285	6	deep	deep	ADJ
brj-24742	285	7	learning	learning	NOUN
brj-24742	285	8	methods	method	NOUN
brj-24742	285	9	to	to	PART
brj-24742	285	10	classify	classify	VERB
brj-24742	285	11	softwood	softwood	NOUN
brj-24742	285	12	,	,	PUNCT
brj-24742	285	13	providing	provide	VERB
brj-24742	285	14	an	an	DET
brj-24742	285	15	effective	effective	ADJ
brj-24742	285	16	approach	approach	NOUN
brj-24742	285	17	for	for	ADP
brj-24742	285	18	the	the	DET
brj-24742	285	19	identification	identification	NOUN
brj-24742	285	20	of	of	ADP
brj-24742	285	21	softwood	softwood	NOUN
brj-24742	285	22	species	specie	NOUN
brj-24742	285	23	in	in	ADP
brj-24742	285	24	the	the	DET
brj-24742	285	25	construction	construction	NOUN
brj-24742	285	26	and	and	CCONJ
brj-24742	285	27	decoration	decoration	NOUN
brj-24742	285	28	industries	industry	NOUN
brj-24742	285	29	.	.	PUNCT
brj-24742	286	1	2	2	X
brj-24742	286	2	.	.	X
brj-24742	286	3	the	the	DET
brj-24742	286	4	experiment	experiment	NOUN
brj-24742	286	5	applied	apply	VERB
brj-24742	286	6	11	11	NUM
brj-24742	286	7	kinds	kind	NOUN
brj-24742	286	8	of	of	ADP
brj-24742	286	9	image	image	NOUN
brj-24742	286	10	classification	classification	NOUN
brj-24742	286	11	models	model	NOUN
brj-24742	286	12	proposed	propose	VERB
brj-24742	286	13	in	in	ADP
brj-24742	286	14	recent	recent	ADJ
brj-24742	286	15	years	year	NOUN
brj-24742	286	16	for	for	ADP
brj-24742	286	17	comparative	comparative	ADJ
brj-24742	286	18	study	study	NOUN
brj-24742	286	19	.	.	PUNCT
brj-24742	287	1	data	datum	NOUN
brj-24742	287	2	enhancement	enhancement	NOUN
brj-24742	287	3	techniques	technique	NOUN
brj-24742	287	4	were	be	AUX
brj-24742	287	5	used	use	VERB
brj-24742	287	6	,	,	PUNCT
brj-24742	287	7	including	include	VERB
brj-24742	287	8	rotating	rotate	VERB
brj-24742	287	9	,	,	PUNCT
brj-24742	287	10	flipping	flipping	NOUN
brj-24742	287	11	,	,	PUNCT
brj-24742	287	12	and	and	CCONJ
brj-24742	287	13	non	non	ADJ
brj-24742	287	14	-	-	ADJ
brj-24742	287	15	overlapping	overlapping	ADJ
brj-24742	287	16	cropping	cropping	NOUN
brj-24742	287	17	to	to	PART
brj-24742	287	18	enlarge	enlarge	VERB
brj-24742	287	19	the	the	DET
brj-24742	287	20	dataset	dataset	NOUN
brj-24742	287	21	,	,	PUNCT
brj-24742	287	22	to	to	PART
brj-24742	287	23	explore	explore	VERB
brj-24742	287	24	the	the	DET
brj-24742	287	25	classification	classification	NOUN
brj-24742	287	26	performance	performance	NOUN
brj-24742	287	27	of	of	ADP
brj-24742	287	28	these	these	DET
brj-24742	287	29	models	model	NOUN
brj-24742	287	30	on	on	ADP
brj-24742	287	31	the	the	DET
brj-24742	287	32	36	36	NUM
brj-24742	287	33	kinds	kind	NOUN
brj-24742	287	34	of	of	ADP
brj-24742	287	35	architectural	architectural	ADJ
brj-24742	287	36	softwood	softwood	NOUN
brj-24742	287	37	microscopic	microscopic	ADJ
brj-24742	287	38	cross	cross	ADJ
brj-24742	287	39	-	-	ADJ
brj-24742	287	40	sectional	sectional	ADJ
brj-24742	287	41	image	image	NOUN
brj-24742	287	42	dataset	dataset	NOUN
brj-24742	287	43	.	.	PUNCT
brj-24742	288	1	experimental	experimental	ADJ
brj-24742	288	2	results	result	NOUN
brj-24742	288	3	showed	show	VERB
brj-24742	288	4	that	that	SCONJ
brj-24742	288	5	6	6	NUM
brj-24742	288	6	models	model	NOUN
brj-24742	288	7	achieved	achieve	VERB
brj-24742	288	8	over	over	ADP
brj-24742	288	9	99.0	99.0	NUM
brj-24742	288	10	%	%	NOUN
brj-24742	288	11	classification	classification	NOUN
brj-24742	288	12	accuracy	accuracy	NOUN
brj-24742	288	13	,	,	PUNCT
brj-24742	288	14	verifying	verify	VERB
brj-24742	288	15	the	the	DET
brj-24742	288	16	approach	approach	NOUN
brj-24742	288	17	of	of	ADP
brj-24742	288	18	deep	deep	ADJ
brj-24742	288	19	learning	learn	VERB
brj-24742	288	20	neural	neural	ADJ
brj-24742	288	21	network	network	NOUN
brj-24742	288	22	can	can	AUX
brj-24742	288	23	be	be	AUX
brj-24742	288	24	applied	apply	VERB
brj-24742	288	25	to	to	ADP
brj-24742	288	26	the	the	DET
brj-24742	288	27	identification	identification	NOUN
brj-24742	288	28	of	of	ADP
brj-24742	288	29	softwood	softwood	NOUN
brj-24742	288	30	species	specie	NOUN
brj-24742	288	31	.	.	PUNCT
brj-24742	289	1	among	among	ADP
brj-24742	289	2	them	they	PRON
brj-24742	289	3	,	,	PUNCT
brj-24742	289	4	swin	swin	PROPN
brj-24742	289	5	transformer	transformer	PROPN
brj-24742	289	6	achieved	achieve	VERB
brj-24742	289	7	the	the	DET
brj-24742	289	8	highest	high	ADJ
brj-24742	289	9	accuracy	accuracy	NOUN
brj-24742	289	10	of	of	ADP
brj-24742	289	11	99.7	99.7	NUM
brj-24742	289	12	%	%	NOUN
brj-24742	289	13	,	,	PUNCT
brj-24742	289	14	with	with	ADP
brj-24742	289	15	only	only	ADV
brj-24742	289	16	1	1	NUM
brj-24742	289	17	misclassification	misclassification	NOUN
brj-24742	289	18	in	in	ADP
brj-24742	289	19	3,456	3,456	NUM
brj-24742	289	20	test	test	NOUN
brj-24742	289	21	images	image	NOUN
brj-24742	289	22	.	.	PUNCT
brj-24742	290	1	the	the	DET
brj-24742	290	2	misidentification	misidentification	NOUN
brj-24742	290	3	was	be	AUX
brj-24742	290	4	attributed	attribute	VERB
brj-24742	290	5	to	to	ADP
brj-24742	290	6	the	the	DET
brj-24742	290	7	morphological	morphological	ADJ
brj-24742	290	8	similarity	similarity	NOUN
brj-24742	290	9	of	of	ADP
brj-24742	290	10	ray	ray	NOUN
brj-24742	290	11	cells	cell	NOUN
brj-24742	290	12	and	and	CCONJ
brj-24742	290	13	tracheids	tracheid	NOUN
brj-24742	290	14	between	between	ADP
brj-24742	290	15	tetraclinis	tetraclinis	NOUN
brj-24742	290	16	articulata	articulata	NOUN
brj-24742	290	17	and	and	CCONJ
brj-24742	290	18	pinus	pinus	NOUN
brj-24742	290	19	greggii	greggii	PROPN
brj-24742	290	20	.	.	PUNCT
brj-24742	291	1	class	class	NOUN
brj-24742	291	2	activation	activation	NOUN
brj-24742	291	3	maps	map	NOUN
brj-24742	291	4	generated	generate	VERB
brj-24742	291	5	by	by	ADP
brj-24742	291	6	grad	grad	NOUN
brj-24742	291	7	-	-	PUNCT
brj-24742	291	8	cam	cam	PROPN
brj-24742	291	9	revealed	reveal	VERB
brj-24742	291	10	that	that	SCONJ
brj-24742	291	11	the	the	DET
brj-24742	291	12	swin	swin	PROPN
brj-24742	291	13	transformer	transformer	PROPN
brj-24742	291	14	model	model	NOUN
brj-24742	291	15	primarily	primarily	ADV
brj-24742	291	16	focused	focus	VERB
brj-24742	291	17	on	on	ADP
brj-24742	291	18	tracheid	tracheid	NOUN
brj-24742	291	19	and	and	CCONJ
brj-24742	291	20	ray	ray	NOUN
brj-24742	291	21	structures	structure	NOUN
brj-24742	291	22	,	,	PUNCT
brj-24742	291	23	confirming	confirm	VERB
brj-24742	291	24	their	their	PRON
brj-24742	291	25	critical	critical	ADJ
brj-24742	291	26	role	role	NOUN
brj-24742	291	27	in	in	ADP
brj-24742	291	28	wood	wood	NOUN
brj-24742	291	29	identification	identification	NOUN
brj-24742	291	30	.	.	PUNCT
brj-24742	292	1	3	3	X
brj-24742	292	2	.	.	X
brj-24742	292	3	the	the	DET
brj-24742	292	4	swin	swin	PROPN
brj-24742	292	5	transformer	transformer	PROPN
brj-24742	292	6	model	model	NOUN
brj-24742	292	7	incorporates	incorporate	VERB
brj-24742	292	8	hierarchical	hierarchical	ADJ
brj-24742	292	9	feature	feature	NOUN
brj-24742	292	10	extraction	extraction	NOUN
brj-24742	292	11	and	and	CCONJ
brj-24742	292	12	a	a	DET
brj-24742	292	13	shifted	shift	VERB
brj-24742	292	14	window	window	NOUN
brj-24742	292	15	attention	attention	NOUN
brj-24742	292	16	mechanism	mechanism	NOUN
brj-24742	292	17	.	.	PUNCT
brj-24742	293	1	the	the	DET
brj-24742	293	2	former	former	ADJ
brj-24742	293	3	fuses	fuse	NOUN
brj-24742	293	4	feature	feature	VERB
brj-24742	293	5	at	at	ADP
brj-24742	293	6	different	different	ADJ
brj-24742	293	7	scales	scale	NOUN
brj-24742	293	8	,	,	PUNCT
brj-24742	293	9	while	while	SCONJ
brj-24742	293	10	the	the	DET
brj-24742	293	11	latter	latter	NOUN
brj-24742	293	12	organizes	organize	VERB
brj-24742	293	13	feature	feature	NOUN
brj-24742	293	14	information	information	NOUN
brj-24742	293	15	in	in	ADP
brj-24742	293	16	regions	region	NOUN
brj-24742	293	17	of	of	ADP
brj-24742	293	18	interest	interest	NOUN
brj-24742	293	19	within	within	ADP
brj-24742	293	20	the	the	DET
brj-24742	293	21	global	global	ADJ
brj-24742	293	22	context	context	NOUN
brj-24742	293	23	of	of	ADP
brj-24742	293	24	input	input	NOUN
brj-24742	293	25	data	datum	NOUN
brj-24742	293	26	,	,	PUNCT
brj-24742	293	27	enabling	enable	VERB
brj-24742	293	28	model	model	NOUN
brj-24742	293	29	training	training	NOUN
brj-24742	293	30	to	to	PART
brj-24742	293	31	achieve	achieve	VERB
brj-24742	293	32	high	high	ADJ
brj-24742	293	33	identification	identification	NOUN
brj-24742	293	34	accuracy	accuracy	NOUN
brj-24742	293	35	.	.	PUNCT
brj-24742	294	1	by	by	ADP
brj-24742	294	2	analyzing	analyze	VERB
brj-24742	294	3	the	the	DET
brj-24742	294	4	classification	classification	NOUN
brj-24742	294	5	mechanisms	mechanism	NOUN
brj-24742	294	6	and	and	CCONJ
brj-24742	294	7	experimental	experimental	ADJ
brj-24742	294	8	results	result	NOUN
brj-24742	294	9	of	of	ADP
brj-24742	294	10	each	each	DET
brj-24742	294	11	model	model	NOUN
brj-24742	294	12	,	,	PUNCT
brj-24742	294	13	it	it	PRON
brj-24742	294	14	was	be	AUX
brj-24742	294	15	found	find	VERB
brj-24742	294	16	that	that	SCONJ
brj-24742	294	17	introducing	introduce	VERB
brj-24742	294	18	multi	multi	ADJ
brj-24742	294	19	-	-	ADJ
brj-24742	294	20	scale	scale	ADJ
brj-24742	294	21	feature	feature	NOUN
brj-24742	294	22	fusion	fusion	NOUN
brj-24742	294	23	and	and	CCONJ
brj-24742	294	24	spatial	spatial	ADJ
brj-24742	294	25	attention	attention	NOUN
brj-24742	294	26	mechanisms	mechanism	NOUN
brj-24742	294	27	enhances	enhance	VERB
brj-24742	294	28	the	the	DET
brj-24742	294	29	ability	ability	NOUN
brj-24742	294	30	to	to	PART
brj-24742	294	31	capture	capture	VERB
brj-24742	294	32	critical	critical	ADJ
brj-24742	294	33	structural	structural	ADJ
brj-24742	294	34	information	information	NOUN
brj-24742	294	35	in	in	ADP
brj-24742	294	36	wood	wood	NOUN
brj-24742	294	37	microscopic	microscopic	NOUN
brj-24742	294	38	images	image	NOUN
brj-24742	294	39	,	,	PUNCT
brj-24742	294	40	effectively	effectively	ADV
brj-24742	294	41	improving	improve	VERB
brj-24742	294	42	model	model	NOUN
brj-24742	294	43	identification	identification	NOUN
brj-24742	294	44	accuracy	accuracy	NOUN
brj-24742	294	45	.	.	PUNCT
brj-24742	295	1	this	this	PRON
brj-24742	295	2	will	will	AUX
brj-24742	295	3	provide	provide	VERB
brj-24742	295	4	research	research	NOUN
brj-24742	295	5	directions	direction	NOUN
brj-24742	295	6	for	for	ADP
brj-24742	295	7	further	far	ADV
brj-24742	295	8	improving	improve	VERB
brj-24742	295	9	deep	deep	ADJ
brj-24742	295	10	learning	learning	NOUN
brj-24742	295	11	-	-	PUNCT
brj-24742	295	12	based	base	VERB
brj-24742	295	13	wood	wood	NOUN
brj-24742	295	14	classification	classification	NOUN
brj-24742	295	15	methods	method	NOUN
brj-24742	295	16	.	.	PUNCT
brj-24742	296	1	peer	peer	NOUN
brj-24742	296	2	-	-	PUNCT
brj-24742	296	3	reviewed	review	VERB
brj-24742	296	4	article	article	NOUN
brj-24742	296	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24742	296	6	tian	tian	PROPN
brj-24742	296	7	et	et	PROPN
brj-24742	296	8	al	al	PROPN
brj-24742	296	9	.	.	PROPN
brj-24742	297	1	(	(	PUNCT
brj-24742	297	2	2026	2026	NUM
brj-24742	297	3	)	)	PUNCT
brj-24742	297	4	.	.	PUNCT
brj-24742	298	1	“	"	PUNCT
brj-24742	298	2	softwood	softwood	NOUN
brj-24742	298	3	classification	classification	NOUN
brj-24742	298	4	for	for	ADP
brj-24742	298	5	design	design	NOUN
brj-24742	298	6	,	,	PUNCT
brj-24742	298	7	”	"	PUNCT
brj-24742	298	8	bioresources	bioresource	NOUN
brj-24742	298	9	21(1	21(1	NUM
brj-24742	298	10	)	)	PUNCT
brj-24742	298	11	,	,	PUNCT
brj-24742	298	12	781	781	NUM
brj-24742	298	13	-	-	SYM
brj-24742	298	14	798	798	NUM
brj-24742	298	15	.	.	PUNCT
brj-24742	299	1	796	796	NUM
brj-24742	299	2	acknowledgments	acknowledgment	NOUN
brj-24742	299	3	the	the	DET
brj-24742	299	4	authors	author	NOUN
brj-24742	299	5	are	be	AUX
brj-24742	299	6	grateful	grateful	ADJ
brj-24742	299	7	for	for	ADP
brj-24742	299	8	the	the	DET
brj-24742	299	9	support	support	NOUN
brj-24742	299	10	of	of	ADP
brj-24742	299	11	the	the	DET
brj-24742	299	12	three	three	NUM
brj-24742	299	13	projects	project	NOUN
brj-24742	299	14	,	,	PUNCT
brj-24742	299	15	as	as	SCONJ
brj-24742	299	16	listed	list	VERB
brj-24742	299	17	below	below	ADV
brj-24742	299	18	.	.	PUNCT
brj-24742	300	1	the	the	DET
brj-24742	300	2	natural	natural	ADJ
brj-24742	300	3	science	science	PROPN
brj-24742	300	4	foundation	foundation	PROPN
brj-24742	300	5	of	of	ADP
brj-24742	300	6	shandong	shandong	PROPN
brj-24742	300	7	province	province	PROPN
brj-24742	300	8	,	,	PUNCT
brj-24742	300	9	china	china	PROPN
brj-24742	300	10	(	(	PUNCT
brj-24742	300	11	zr2024mc185	zr2024mc185	PROPN
brj-24742	300	12	)	)	PUNCT
brj-24742	300	13	,	,	PUNCT
brj-24742	300	14	funded	fund	VERB
brj-24742	300	15	project	project	NOUN
brj-24742	300	16	under	under	ADP
brj-24742	300	17	the	the	DET
brj-24742	300	18	open	open	ADJ
brj-24742	300	19	fund	fund	NOUN
brj-24742	300	20	of	of	ADP
brj-24742	300	21	key	key	ADJ
brj-24742	300	22	research	research	NOUN
brj-24742	300	23	bases	basis	NOUN
brj-24742	300	24	(	(	PUNCT
brj-24742	300	25	xtyc202401	xtyc202401	PROPN
brj-24742	300	26	)	)	PUNCT
brj-24742	300	27	,	,	PUNCT
brj-24742	300	28	and	and	CCONJ
brj-24742	300	29	the	the	DET
brj-24742	300	30	taishan	taishan	ADJ
brj-24742	300	31	scholar	scholar	NOUN
brj-24742	300	32	advantage	advantage	NOUN
brj-24742	300	33	characteristic	characteristic	ADJ
brj-24742	300	34	discipline	discipline	NOUN
brj-24742	300	35	talent	talent	NOUN
brj-24742	300	36	team	team	NOUN
brj-24742	300	37	project	project	NOUN
brj-24742	300	38	of	of	ADP
brj-24742	300	39	shandong	shandong	PROPN
brj-24742	300	40	province	province	PROPN
brj-24742	300	41	of	of	ADP
brj-24742	300	42	china	china	PROPN
brj-24742	300	43	(	(	PUNCT
brj-24742	300	44	2015162	2015162	NUM
brj-24742	300	45	)	)	PUNCT
brj-24742	300	46	.	.	PUNCT
brj-24742	301	1	in	in	ADP
brj-24742	301	2	particular	particular	ADJ
brj-24742	301	3	,	,	PUNCT
brj-24742	301	4	we	we	PRON
brj-24742	301	5	would	would	AUX
brj-24742	301	6	like	like	VERB
brj-24742	301	7	to	to	PART
brj-24742	301	8	thank	thank	VERB
brj-24742	301	9	dr	dr	PROPN
brj-24742	301	10	.	.	PROPN
brj-24742	301	11	jefferson	jefferson	PROPN
brj-24742	301	12	martins	martins	PROPN
brj-24742	301	13	,	,	PUNCT
brj-24742	301	14	with	with	ADP
brj-24742	301	15	the	the	DET
brj-24742	301	16	laboratory	laboratory	NOUN
brj-24742	301	17	of	of	ADP
brj-24742	301	18	wood	wood	NOUN
brj-24742	301	19	anatomy	anatomy	NOUN
brj-24742	301	20	and	and	CCONJ
brj-24742	301	21	the	the	DET
brj-24742	301	22	laboratory	laboratory	NOUN
brj-24742	301	23	of	of	ADP
brj-24742	301	24	vision	vision	NOUN
brj-24742	301	25	robotics	robotic	NOUN
brj-24742	301	26	and	and	CCONJ
brj-24742	301	27	imaging	imaging	NOUN
brj-24742	301	28	at	at	ADP
brj-24742	301	29	the	the	DET
brj-24742	301	30	federal	federal	ADJ
brj-24742	301	31	university	university	PROPN
brj-24742	301	32	of	of	ADP
brj-24742	301	33	parana	parana	PROPN
brj-24742	301	34	in	in	ADP
brj-24742	301	35	curitiba	curitiba	PROPN
brj-24742	301	36	,	,	PUNCT
brj-24742	301	37	brazil	brazil	PROPN
brj-24742	301	38	,	,	PUNCT
brj-24742	301	39	for	for	ADP
brj-24742	301	40	providing	provide	VERB
brj-24742	301	41	wood	wood	NOUN
brj-24742	301	42	specimens	specimen	NOUN
brj-24742	301	43	images	image	NOUN
brj-24742	301	44	used	use	VERB
brj-24742	301	45	to	to	PART
brj-24742	301	46	carry	carry	VERB
brj-24742	301	47	out	out	ADP
brj-24742	301	48	research	research	NOUN
brj-24742	301	49	.	.	PUNCT
brj-24742	302	1	conflicts	conflict	NOUN
brj-24742	302	2	of	of	ADP
brj-24742	302	3	interest	interest	NOUN
brj-24742	302	4	the	the	DET
brj-24742	302	5	authors	author	NOUN
brj-24742	302	6	declares	declare	VERB
brj-24742	302	7	that	that	SCONJ
brj-24742	302	8	there	there	PRON
brj-24742	302	9	is	be	VERB
brj-24742	302	10	no	no	DET
brj-24742	302	11	competing	compete	VERB
brj-24742	302	12	interest	interest	NOUN
brj-24742	302	13	.	.	PUNCT
brj-24742	303	1	references	reference	NOUN
brj-24742	303	2	cited	cite	VERB
brj-24742	303	3	dosovitskiy	dosovitskiy	NOUN
brj-24742	303	4	,	,	PUNCT
brj-24742	303	5	a.	a.	NOUN
brj-24742	303	6	,	,	PUNCT
brj-24742	303	7	beyer	beyer	PROPN
brj-24742	303	8	,	,	PUNCT
brj-24742	303	9	l.	l.	PROPN
brj-24742	303	10	,	,	PUNCT
brj-24742	303	11	kolesnikov	kolesnikov	PROPN
brj-24742	303	12	,	,	PUNCT
brj-24742	303	13	a.	a.	NOUN
brj-24742	303	14	,	,	PUNCT
brj-24742	303	15	weissenborn	weissenborn	ADJ
brj-24742	303	16	,	,	PUNCT
brj-24742	303	17	d.	d.	PROPN
brj-24742	303	18	,	,	PUNCT
brj-24742	303	19	zhai	zhai	PROPN
brj-24742	303	20	,	,	PUNCT
brj-24742	303	21	x.	x.	PROPN
brj-24742	303	22	h.	h.	PROPN
brj-24742	303	23	,	,	PUNCT
brj-24742	303	24	unterthiner	unterthiner	PROPN
brj-24742	303	25	,	,	PUNCT
brj-24742	303	26	t.	t.	PROPN
brj-24742	303	27	,	,	PUNCT
brj-24742	303	28	dehghani	dehghani	PROPN
brj-24742	303	29	,	,	PUNCT
brj-24742	303	30	m.	m.	NOUN
brj-24742	303	31	,	,	PUNCT
brj-24742	303	32	minderer	minderer	NOUN
brj-24742	303	33	,	,	PUNCT
brj-24742	303	34	m.	m.	NOUN
brj-24742	303	35	,	,	PUNCT
brj-24742	303	36	heigold	heigold	PROPN
brj-24742	303	37	,	,	PUNCT
brj-24742	303	38	g.	g.	PROPN
brj-24742	303	39	,	,	PUNCT
brj-24742	303	40	gelly	gelly	ADV
brj-24742	303	41	,	,	PUNCT
brj-24742	303	42	s.	s.	PROPN
brj-24742	303	43	,	,	PUNCT
brj-24742	303	44	et	et	PROPN
brj-24742	303	45	al	al	PROPN
brj-24742	303	46	.	.	PUNCT
brj-24742	304	1	(	(	PUNCT
brj-24742	304	2	2021	2021	NUM
brj-24742	304	3	)	)	PUNCT
brj-24742	304	4	.	.	PUNCT
brj-24742	305	1	“	"	PUNCT
brj-24742	305	2	an	an	DET
brj-24742	305	3	image	image	NOUN
brj-24742	305	4	is	be	AUX
brj-24742	305	5	worth	worth	ADJ
brj-24742	305	6	16x16	16x16	NUM
brj-24742	305	7	words	word	NOUN
brj-24742	305	8	:	:	PUNCT
brj-24742	305	9	transformers	transformer	NOUN
brj-24742	305	10	for	for	ADP
brj-24742	305	11	image	image	NOUN
brj-24742	305	12	recognition	recognition	NOUN
brj-24742	305	13	at	at	ADP
brj-24742	305	14	scale	scale	NOUN
brj-24742	305	15	,	,	PUNCT
brj-24742	305	16	”	"	PUNCT
brj-24742	305	17	in	in	ADP
brj-24742	305	18	:	:	PUNCT
brj-24742	305	19	international	international	ADJ
brj-24742	305	20	conference	conference	NOUN
brj-24742	305	21	on	on	ADP
brj-24742	305	22	learning	learn	VERB
brj-24742	305	23	representations	representation	NOUN
brj-24742	305	24	(	(	PUNCT
brj-24742	305	25	iclr	iclr	NOUN
brj-24742	305	26	2021	2021	NUM
brj-24742	305	27	)	)	PUNCT
brj-24742	305	28	,	,	PUNCT
brj-24742	305	29	vienna	vienna	PROPN
brj-24742	305	30	,	,	PUNCT
brj-24742	305	31	austria	austria	PROPN
brj-24742	305	32	,	,	PUNCT
brj-24742	305	33	pp	pp	ADJ
brj-24742	305	34	.	.	PUNCT
brj-24742	306	1	1	1	NUM
brj-24742	306	2	-	-	SYM
brj-24742	306	3	22	22	NUM
brj-24742	306	4	.	.	PUNCT
brj-24742	307	1	https://doi.org/10.48550/arxiv.2010.11929	https://doi.org/10.48550/arxiv.2010.11929	NOUN
brj-24742	307	2	gao	gao	PROPN
brj-24742	307	3	,	,	PUNCT
brj-24742	307	4	x.	x.	PROPN
brj-24742	307	5	,	,	PUNCT
brj-24742	307	6	yang	yang	PROPN
brj-24742	307	7	,	,	PUNCT
brj-24742	307	8	l.	l.	PROPN
brj-24742	307	9	x.	x.	PROPN
brj-24742	307	10	,	,	PUNCT
brj-24742	307	11	and	and	CCONJ
brj-24742	307	12	chen	chen	PROPN
brj-24742	307	13	,	,	PUNCT
brj-24742	307	14	z.	z.	PROPN
brj-24742	307	15	j.	j.	PROPN
brj-24742	307	16	(	(	PUNCT
brj-24742	307	17	2023	2023	NUM
brj-24742	307	18	)	)	PUNCT
brj-24742	307	19	.	.	PUNCT
brj-24742	308	1	“	"	PUNCT
brj-24742	308	2	convolutional	convolutional	ADJ
brj-24742	308	3	neural	neural	ADJ
brj-24742	308	4	network	network	NOUN
brj-24742	308	5	tree	tree	NOUN
brj-24742	308	6	species	specie	NOUN
brj-24742	308	7	identification	identification	NOUN
brj-24742	308	8	based	base	VERB
brj-24742	308	9	on	on	ADP
brj-24742	308	10	tree	tree	NOUN
brj-24742	308	11	-	-	PUNCT
brj-24742	308	12	ring	ring	NOUN
brj-24742	308	13	radial	radial	ADJ
brj-24742	308	14	section	section	NOUN
brj-24742	308	15	image	image	NOUN
brj-24742	308	16	features	feature	NOUN
brj-24742	308	17	,	,	PUNCT
brj-24742	308	18	”	"	PUNCT
brj-24742	308	19	chinese	chinese	ADJ
brj-24742	308	20	journal	journal	NOUN
brj-24742	308	21	of	of	ADP
brj-24742	308	22	applied	applied	ADJ
brj-24742	308	23	ecology	ecology	NOUN
brj-24742	308	24	34(01	34(01	NUM
brj-24742	308	25	)	)	PUNCT
brj-24742	308	26	,	,	PUNCT
brj-24742	308	27	47	47	NUM
brj-24742	308	28	-	-	SYM
brj-24742	308	29	57	57	NUM
brj-24742	308	30	.	.	PUNCT
brj-24742	309	1	https://doi.org/10.13287/j.1001-9332.202301.001	https://doi.org/10.13287/j.1001-9332.202301.001	VERB
brj-24742	309	2	he	he	PRON
brj-24742	309	3	,	,	PUNCT
brj-24742	309	4	k.	k.	PROPN
brj-24742	309	5	m.	m.	PROPN
brj-24742	309	6	,	,	PUNCT
brj-24742	309	7	zhang	zhang	PROPN
brj-24742	309	8	,	,	PUNCT
brj-24742	309	9	x.	x.	PROPN
brj-24742	309	10	y.	y.	PROPN
brj-24742	309	11	,	,	PUNCT
brj-24742	309	12	ren	ren	PROPN
brj-24742	309	13	,	,	PUNCT
brj-24742	309	14	s.	s.	PROPN
brj-24742	309	15	q.	q.	PROPN
brj-24742	309	16	,	,	PUNCT
brj-24742	309	17	and	and	CCONJ
brj-24742	309	18	sun	sun	NOUN
brj-24742	309	19	,	,	PUNCT
brj-24742	309	20	j.	j.	PROPN
brj-24742	309	21	(	(	PUNCT
brj-24742	309	22	2016	2016	NUM
brj-24742	309	23	)	)	PUNCT
brj-24742	309	24	“	"	PUNCT
brj-24742	309	25	deep	deep	ADJ
brj-24742	309	26	residual	residual	ADJ
brj-24742	309	27	learning	learning	NOUN
brj-24742	309	28	for	for	ADP
brj-24742	309	29	image	image	NOUN
brj-24742	309	30	recognition	recognition	NOUN
brj-24742	309	31	,	,	PUNCT
brj-24742	309	32	”	"	PUNCT
brj-24742	309	33	in	in	ADP
brj-24742	309	34	:	:	PUNCT
brj-24742	309	35	2016	2016	NUM
brj-24742	309	36	ieee	ieee	NOUN
brj-24742	309	37	conference	conference	NOUN
brj-24742	309	38	on	on	ADP
brj-24742	309	39	computer	computer	NOUN
brj-24742	309	40	vision	vision	NOUN
brj-24742	309	41	and	and	CCONJ
brj-24742	309	42	pattern	pattern	NOUN
brj-24742	309	43	recognition	recognition	NOUN
brj-24742	309	44	(	(	PUNCT
brj-24742	309	45	cvpr	cvpr	NOUN
brj-24742	309	46	)	)	PUNCT
brj-24742	309	47	.	.	PUNCT
brj-24742	310	1	https://doi.org/10.1109/cvpr.2016.90	https://doi.org/10.1109/cvpr.2016.90	PROPN
brj-24742	310	2	he	he	PRON
brj-24742	310	3	,	,	PUNCT
brj-24742	310	4	t.	t.	PROPN
brj-24742	310	5	,	,	PUNCT
brj-24742	310	6	mu	mu	PROPN
brj-24742	310	7	,	,	PUNCT
brj-24742	310	8	s.	s.	PROPN
brj-24742	310	9	b.	b.	PROPN
brj-24742	310	10	,	,	PUNCT
brj-24742	310	11	zhou	zhou	PROPN
brj-24742	310	12	,	,	PUNCT
brj-24742	310	13	h.	h.	PROPN
brj-24742	310	14	k.	k.	PROPN
brj-24742	310	15	,	,	PUNCT
brj-24742	310	16	and	and	CCONJ
brj-24742	310	17	hu	hu	PROPN
brj-24742	310	18	,	,	PUNCT
brj-24742	310	19	j.	j.	PROPN
brj-24742	310	20	g.	g.	PROPN
brj-24742	310	21	(	(	PUNCT
brj-24742	310	22	2021	2021	NUM
brj-24742	310	23	)	)	PUNCT
brj-24742	310	24	.	.	PUNCT
brj-24742	311	1	“	"	PUNCT
brj-24742	311	2	wood	wood	NOUN
brj-24742	311	3	species	species	NOUN
brj-24742	311	4	identification	identification	NOUN
brj-24742	311	5	based	base	VERB
brj-24742	311	6	on	on	ADP
brj-24742	311	7	an	an	DET
brj-24742	311	8	ensemble	ensemble	NOUN
brj-24742	311	9	of	of	ADP
brj-24742	311	10	deep	deep	ADJ
brj-24742	311	11	convolution	convolution	NOUN
brj-24742	311	12	neural	neural	ADJ
brj-24742	311	13	networks	network	NOUN
brj-24742	311	14	,	,	PUNCT
brj-24742	311	15	”	"	PUNCT
brj-24742	311	16	wood	wood	NOUN
brj-24742	311	17	research	research	NOUN
brj-24742	311	18	66(01	66(01	NOUN
brj-24742	311	19	)	)	PUNCT
brj-24742	311	20	,	,	PUNCT
brj-24742	311	21	01	01	NUM
brj-24742	311	22	-	-	SYM
brj-24742	311	23	14	14	NUM
brj-24742	311	24	.	.	PUNCT
brj-24742	312	1	https://doi.org/10.37763/66.1.0114	https://doi.org/10.37763/66.1.0114	PROPN
brj-24742	312	2	lens	lens	PROPN
brj-24742	312	3	,	,	PUNCT
brj-24742	312	4	f.	f.	PROPN
brj-24742	312	5	,	,	PUNCT
brj-24742	312	6	liang	liang	PROPN
brj-24742	312	7	,	,	PUNCT
brj-24742	312	8	c.	c.	PROPN
brj-24742	312	9	,	,	PUNCT
brj-24742	312	10	guo	guo	PROPN
brj-24742	312	11	,	,	PUNCT
brj-24742	312	12	y.	y.	PROPN
brj-24742	312	13	h.	h.	PROPN
brj-24742	312	14	,	,	PUNCT
brj-24742	312	15	tang	tang	PROPN
brj-24742	312	16	,	,	PUNCT
brj-24742	312	17	x.	x.	NOUN
brj-24742	312	18	q.	q.	PROPN
brj-24742	312	19	,	,	PUNCT
brj-24742	312	20	jahanbanifard	jahanbanifard	PROPN
brj-24742	312	21	,	,	PUNCT
brj-24742	312	22	m.	m.	NOUN
brj-24742	312	23	,	,	PUNCT
brj-24742	312	24	silva	silva	PROPN
brj-24742	312	25	,	,	PUNCT
brj-24742	312	26	f.	f.	PROPN
brj-24742	312	27	s.	s.	PROPN
brj-24742	312	28	c.	c.	PROPN
brj-24742	312	29	,	,	PUNCT
brj-24742	312	30	ceccantini	ceccantini	PROPN
brj-24742	312	31	,	,	PUNCT
brj-24742	312	32	g.	g.	PROPN
brj-24742	312	33	,	,	PUNCT
brj-24742	312	34	and	and	CCONJ
brj-24742	312	35	verbeek	verbeek	NOUN
brj-24742	312	36	,	,	PUNCT
brj-24742	312	37	f.	f.	PROPN
brj-24742	312	38	j.	j.	PROPN
brj-24742	312	39	(	(	PUNCT
brj-24742	312	40	2020	2020	NUM
brj-24742	312	41	)	)	PUNCT
brj-24742	312	42	.	.	PUNCT
brj-24742	313	1	“	"	PUNCT
brj-24742	313	2	computer	computer	NOUN
brj-24742	313	3	-	-	PUNCT
brj-24742	313	4	assisted	assist	VERB
brj-24742	313	5	timber	timber	NOUN
brj-24742	313	6	identification	identification	NOUN
brj-24742	313	7	based	base	VERB
brj-24742	313	8	on	on	ADP
brj-24742	313	9	features	feature	NOUN
brj-24742	313	10	extracted	extract	VERB
brj-24742	313	11	from	from	ADP
brj-24742	313	12	microscopic	microscopic	ADJ
brj-24742	313	13	wood	wood	NOUN
brj-24742	313	14	sections	section	NOUN
brj-24742	313	15	,	,	PUNCT
brj-24742	313	16	”	"	PUNCT
brj-24742	313	17	iawa	iawa	PROPN
brj-24742	313	18	journal	journal	PROPN
brj-24742	313	19	41(04	41(04	NOUN
brj-24742	313	20	)	)	PUNCT
brj-24742	313	21	,	,	PUNCT
brj-24742	313	22	1	1	NUM
brj-24742	313	23	-	-	SYM
brj-24742	313	24	21	21	NUM
brj-24742	313	25	.	.	PUNCT
brj-24742	314	1	https://doi.org/10.1163/22941932-bja10029	https://doi.org/10.1163/22941932-bja10029	PROPN
brj-24742	314	2	liu	liu	PROPN
brj-24742	314	3	,	,	PUNCT
brj-24742	314	4	s.	s.	PROPN
brj-24742	314	5	j.	j.	PROPN
brj-24742	314	6	,	,	PUNCT
brj-24742	314	7	zheng	zheng	PROPN
brj-24742	314	8	,	,	PUNCT
brj-24742	314	9	c.	c.	PROPN
brj-24742	314	10	,	,	PUNCT
brj-24742	314	11	wang	wang	PROPN
brj-24742	314	12	,	,	PUNCT
brj-24742	314	13	j.	j.	PROPN
brj-24742	314	14	j.	j.	PROPN
brj-24742	314	15	,	,	PUNCT
brj-24742	314	16	lu	lu	PROPN
brj-24742	314	17	,	,	PUNCT
brj-24742	314	18	y.	y.	PROPN
brj-24742	314	19	,	,	PUNCT
brj-24742	314	20	yao	yao	PROPN
brj-24742	314	21	,	,	PUNCT
brj-24742	314	22	j.	j.	PROPN
brj-24742	314	23	,	,	PUNCT
brj-24742	314	24	zou	zou	PROPN
brj-24742	314	25	,	,	PUNCT
brj-24742	314	26	z.	z.	PROPN
brj-24742	314	27	y.	y.	PROPN
brj-24742	314	28	,	,	PUNCT
brj-24742	314	29	yin	yin	PROPN
brj-24742	314	30	,	,	PUNCT
brj-24742	314	31	y.	y.	PROPN
brj-24742	314	32	f.	f.	PROPN
brj-24742	314	33	,	,	PUNCT
brj-24742	314	34	and	and	CCONJ
brj-24742	314	35	he	he	PRON
brj-24742	314	36	,	,	PUNCT
brj-24742	314	37	t.	t.	PROPN
brj-24742	314	38	(	(	PUNCT
brj-24742	314	39	2024	2024	NUM
brj-24742	314	40	)	)	PUNCT
brj-24742	314	41	.	.	PUNCT
brj-24742	315	1	“	"	PUNCT
brj-24742	315	2	how	how	SCONJ
brj-24742	315	3	to	to	PART
brj-24742	315	4	discriminate	discriminate	VERB
brj-24742	315	5	wood	wood	NOUN
brj-24742	315	6	of	of	ADP
brj-24742	315	7	cites	cite	NOUN
brj-24742	315	8	-	-	PUNCT
brj-24742	315	9	listed	list	VERB
brj-24742	315	10	tree	tree	NOUN
brj-24742	315	11	species	specie	NOUN
brj-24742	315	12	from	from	ADP
brj-24742	315	13	their	their	PRON
brj-24742	315	14	look	look	NOUN
brj-24742	315	15	-	-	PUNCT
brj-24742	315	16	alikes	alike	NOUN
brj-24742	315	17	:	:	PUNCT
brj-24742	315	18	using	use	VERB
brj-24742	315	19	an	an	DET
brj-24742	315	20	attention	attention	NOUN
brj-24742	315	21	mechanism	mechanism	NOUN
brj-24742	315	22	with	with	ADP
brj-24742	315	23	the	the	DET
brj-24742	315	24	resnet	resnet	NOUN
brj-24742	315	25	model	model	NOUN
brj-24742	315	26	on	on	ADP
brj-24742	315	27	an	an	DET
brj-24742	315	28	enhanced	enhanced	ADJ
brj-24742	315	29	macroscopic	macroscopic	ADJ
brj-24742	315	30	image	image	NOUN
brj-24742	315	31	dataset	dataset	NOUN
brj-24742	315	32	,	,	PUNCT
brj-24742	315	33	”	"	PUNCT
brj-24742	315	34	frontiers	frontier	NOUN
brj-24742	315	35	in	in	ADP
brj-24742	315	36	plant	plant	NOUN
brj-24742	315	37	science	science	NOUN
brj-24742	315	38	15	15	NUM
brj-24742	315	39	,	,	PUNCT
brj-24742	315	40	1567	1567	NUM
brj-24742	315	41	-	-	SYM
brj-24742	315	42	1583	1583	NUM
brj-24742	315	43	.	.	PUNCT
brj-24742	316	1	https://doi.org/10.3389/fpls.2024.1368885	https://doi.org/10.3389/fpls.2024.1368885	PROPN
brj-24742	316	2	liu	liu	PROPN
brj-24742	316	3	,	,	PUNCT
brj-24742	316	4	z.	z.	PROPN
brj-24742	316	5	,	,	PUNCT
brj-24742	316	6	lin	lin	PROPN
brj-24742	316	7	,	,	PUNCT
brj-24742	316	8	y.	y.	PROPN
brj-24742	316	9	t.	t.	PROPN
brj-24742	316	10	,	,	PUNCT
brj-24742	316	11	cao	cao	PROPN
brj-24742	316	12	,	,	PUNCT
brj-24742	316	13	y.	y.	PROPN
brj-24742	316	14	,	,	PUNCT
brj-24742	316	15	hu	hu	PROPN
brj-24742	316	16	,	,	PUNCT
brj-24742	316	17	h.	h.	PROPN
brj-24742	316	18	,	,	PUNCT
brj-24742	316	19	wei	wei	PROPN
brj-24742	316	20	,	,	PUNCT
brj-24742	316	21	y.	y.	PROPN
brj-24742	316	22	x.	x.	PROPN
brj-24742	316	23	,	,	PUNCT
brj-24742	316	24	zhang	zhang	PROPN
brj-24742	316	25	,	,	PUNCT
brj-24742	316	26	z.	z.	PROPN
brj-24742	316	27	,	,	PUNCT
brj-24742	316	28	lin	lin	PROPN
brj-24742	316	29	,	,	PUNCT
brj-24742	316	30	s.	s.	PROPN
brj-24742	316	31	,	,	PUNCT
brj-24742	316	32	and	and	CCONJ
brj-24742	316	33	guo	guo	PROPN
brj-24742	316	34	,	,	PUNCT
brj-24742	316	35	b.	b.	PROPN
brj-24742	316	36	n.	n.	PROPN
brj-24742	316	37	(	(	PUNCT
brj-24742	316	38	2021	2021	NUM
brj-24742	316	39	)	)	PUNCT
brj-24742	316	40	.	.	PUNCT
brj-24742	317	1	“	"	PUNCT
brj-24742	317	2	swin	swin	PROPN
brj-24742	317	3	transformer	transformer	PROPN
brj-24742	317	4	:	:	PUNCT
brj-24742	317	5	hierarchical	hierarchical	ADJ
brj-24742	317	6	vision	vision	NOUN
brj-24742	317	7	transformer	transformer	NOUN
brj-24742	317	8	using	use	VERB
brj-24742	317	9	shifted	shift	VERB
brj-24742	317	10	windows	window	NOUN
brj-24742	317	11	,	,	PUNCT
brj-24742	317	12	”	"	PUNCT
brj-24742	317	13	in	in	ADP
brj-24742	317	14	:	:	PUNCT
brj-24742	317	15	2021	2021	NUM
brj-24742	317	16	ieee	ieee	NOUN
brj-24742	317	17	/	/	SYM
brj-24742	317	18	cvf	cvf	NOUN
brj-24742	317	19	international	international	ADJ
brj-24742	317	20	conference	conference	NOUN
brj-24742	317	21	on	on	ADP
brj-24742	317	22	computer	computer	NOUN
brj-24742	317	23	vision	vision	NOUN
brj-24742	317	24	,	,	PUNCT
brj-24742	317	25	montreal	montreal	PROPN
brj-24742	317	26	,	,	PUNCT
brj-24742	317	27	canada	canada	PROPN
brj-24742	317	28	,	,	PUNCT
brj-24742	317	29	pp	pp	ADP
brj-24742	317	30	.	.	PUNCT
brj-24742	318	1	9992	9992	NUM
brj-24742	318	2	-	-	SYM
brj-24742	318	3	10002	10002	NUM
brj-24742	318	4	.	.	PUNCT
brj-24742	319	1	https://doi.org/10.1109/iccv48922.2021.00986	https://doi.org/10.1109/iccv48922.2021.00986	PROPN
brj-24742	319	2	liu	liu	PROPN
brj-24742	319	3	,	,	PUNCT
brj-24742	319	4	z.	z.	PROPN
brj-24742	319	5	,	,	PUNCT
brj-24742	319	6	mao	mao	PROPN
brj-24742	319	7	,	,	PUNCT
brj-24742	319	8	h.	h.	PROPN
brj-24742	319	9	z.	z.	PROPN
brj-24742	319	10	,	,	PUNCT
brj-24742	319	11	wu	wu	PROPN
brj-24742	319	12	,	,	PUNCT
brj-24742	319	13	c.	c.	PROPN
brj-24742	319	14	y.	y.	PROPN
brj-24742	319	15	,	,	PUNCT
brj-24742	319	16	feichtenhofer	feichtenhofer	NOUN
brj-24742	319	17	,	,	PUNCT
brj-24742	319	18	c.	c.	PROPN
brj-24742	319	19	,	,	PUNCT
brj-24742	319	20	darrell	darrell	PROPN
brj-24742	319	21	,	,	PUNCT
brj-24742	319	22	t.	t.	PROPN
brj-24742	319	23	,	,	PUNCT
brj-24742	319	24	and	and	CCONJ
brj-24742	319	25	xie	xie	PROPN
brj-24742	319	26	,	,	PUNCT
brj-24742	319	27	s.	s.	PROPN
brj-24742	319	28	n.	n.	PROPN
brj-24742	319	29	(	(	PUNCT
brj-24742	319	30	2022	2022	NUM
brj-24742	319	31	)	)	PUNCT
brj-24742	319	32	.	.	PUNCT
brj-24742	320	1	“	"	PUNCT
brj-24742	320	2	a	a	DET
brj-24742	320	3	convnet	convnet	NOUN
brj-24742	320	4	for	for	ADP
brj-24742	320	5	the	the	DET
brj-24742	320	6	2020s	2020	NOUN
brj-24742	320	7	,	,	PUNCT
brj-24742	320	8	”	"	PUNCT
brj-24742	320	9	in	in	ADP
brj-24742	320	10	:	:	PUNCT
brj-24742	320	11	2022	2022	NUM
brj-24742	320	12	ieee	ieee	NOUN
brj-24742	320	13	/	/	SYM
brj-24742	320	14	cvf	cvf	NOUN
brj-24742	320	15	conference	conference	NOUN
brj-24742	320	16	on	on	ADP
brj-24742	320	17	computer	computer	NOUN
brj-24742	320	18	vision	vision	NOUN
brj-24742	320	19	and	and	CCONJ
brj-24742	320	20	https://doi.org/10.48550/arxiv.2010.11929	https://doi.org/10.48550/arxiv.2010.11929	PROPN
brj-24742	320	21	https://doi.org/10.13287/j.1001-9332.202301.001	https://doi.org/10.13287/j.1001-9332.202301.001	VERB
brj-24742	320	22	https://doi.org/10.1109/cvpr.2016.90	https://doi.org/10.1109/cvpr.2016.90	PROPN
brj-24742	320	23	https://doi.org/10.37763/66.1.0114	https://doi.org/10.37763/66.1.0114	NOUN
brj-24742	320	24	https://doi.org/10.1163/22941932-bja10029	https://doi.org/10.1163/22941932-bja10029	PROPN
brj-24742	320	25	https://doi.org/10.3389/fpls.2024.1368885	https://doi.org/10.3389/fpls.2024.1368885	PROPN
brj-24742	320	26	https://doi.org/10.1109/iccv48922.2021.00986	https://doi.org/10.1109/iccv48922.2021.00986	NUM
brj-24742	320	27	peer	peer	NOUN
brj-24742	320	28	-	-	PUNCT
brj-24742	320	29	reviewed	review	VERB
brj-24742	320	30	article	article	NOUN
brj-24742	320	31	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24742	320	32	tian	tian	PROPN
brj-24742	320	33	et	et	PROPN
brj-24742	320	34	al	al	PROPN
brj-24742	320	35	.	.	PROPN
brj-24742	321	1	(	(	PUNCT
brj-24742	321	2	2026	2026	NUM
brj-24742	321	3	)	)	PUNCT
brj-24742	321	4	.	.	PUNCT
brj-24742	322	1	“	"	PUNCT
brj-24742	322	2	softwood	softwood	NOUN
brj-24742	322	3	classification	classification	NOUN
brj-24742	322	4	for	for	ADP
brj-24742	322	5	design	design	NOUN
brj-24742	322	6	,	,	PUNCT
brj-24742	322	7	”	"	PUNCT
brj-24742	322	8	bioresources	bioresource	NOUN
brj-24742	322	9	21(1	21(1	NUM
brj-24742	322	10	)	)	PUNCT
brj-24742	322	11	,	,	PUNCT
brj-24742	322	12	781	781	NUM
brj-24742	322	13	-	-	SYM
brj-24742	322	14	798	798	NUM
brj-24742	322	15	.	.	PUNCT
brj-24742	323	1	797	797	NUM
brj-24742	323	2	pattern	pattern	NOUN
brj-24742	323	3	recognition	recognition	NOUN
brj-24742	323	4	(	(	PUNCT
brj-24742	323	5	cvpr	cvpr	NOUN
brj-24742	323	6	)	)	PUNCT
brj-24742	323	7	,	,	PUNCT
brj-24742	323	8	new	new	PROPN
brj-24742	323	9	orleans	orleans	PROPN
brj-24742	323	10	,	,	PUNCT
brj-24742	323	11	la	la	PROPN
brj-24742	323	12	,	,	PUNCT
brj-24742	323	13	usa	usa	PROPN
brj-24742	323	14	,	,	PUNCT
brj-24742	323	15	pp	pp	ADJ
brj-24742	323	16	.	.	PUNCT
brj-24742	323	17	11966	11966	NUM
brj-24742	323	18	-	-	SYM
brj-24742	323	19	11976	11976	NUM
brj-24742	323	20	.	.	PUNCT
brj-24742	324	1	https://doi.org/10.1109/cvpr52688.2022.01167	https://doi.org/10.1109/cvpr52688.2022.01167	PROPN
brj-24742	324	2	ma	ma	PROPN
brj-24742	324	3	,	,	PUNCT
brj-24742	324	4	x.	x.	PROPN
brj-24742	324	5	,	,	PUNCT
brj-24742	324	6	dai	dai	PROPN
brj-24742	324	7	,	,	PUNCT
brj-24742	324	8	x.	x.	PROPN
brj-24742	324	9	y.	y.	PROPN
brj-24742	324	10	,	,	PUNCT
brj-24742	324	11	bai	bai	PROPN
brj-24742	324	12	,	,	PUNCT
brj-24742	324	13	y.	y.	PROPN
brj-24742	324	14	,	,	PUNCT
brj-24742	324	15	wang	wang	PROPN
brj-24742	324	16	,	,	PUNCT
brj-24742	324	17	y.	y.	PROPN
brj-24742	324	18	z.	z.	PROPN
brj-24742	324	19	,	,	PUNCT
brj-24742	324	20	and	and	CCONJ
brj-24742	324	21	fu	fu	ADJ
brj-24742	324	22	,	,	PUNCT
brj-24742	324	23	y.	y.	PROPN
brj-24742	324	24	(	(	PUNCT
brj-24742	324	25	2024	2024	NUM
brj-24742	324	26	)	)	PUNCT
brj-24742	324	27	.	.	PUNCT
brj-24742	325	1	“	"	PUNCT
brj-24742	325	2	rewrite	rewrite	VERB
brj-24742	325	3	the	the	DET
brj-24742	325	4	stars	star	NOUN
brj-24742	325	5	,	,	PUNCT
brj-24742	325	6	”	"	PUNCT
brj-24742	325	7	in	in	ADP
brj-24742	325	8	:	:	PUNCT
brj-24742	325	9	proceedings	proceeding	NOUN
brj-24742	325	10	of	of	ADP
brj-24742	325	11	the	the	DET
brj-24742	325	12	ieee	ieee	NOUN
brj-24742	325	13	computer	computer	NOUN
brj-24742	325	14	society	society	PROPN
brj-24742	325	15	conference	conference	NOUN
brj-24742	325	16	on	on	ADP
brj-24742	325	17	computer	computer	NOUN
brj-24742	325	18	vision	vision	NOUN
brj-24742	325	19	and	and	CCONJ
brj-24742	325	20	pattern	pattern	NOUN
brj-24742	325	21	recognition	recognition	NOUN
brj-24742	325	22	,	,	PUNCT
brj-24742	325	23	seattle	seattle	PROPN
brj-24742	325	24	,	,	PUNCT
brj-24742	325	25	wa	wa	PROPN
brj-24742	325	26	,	,	PUNCT
brj-24742	325	27	usa	usa	PROPN
brj-24742	325	28	,	,	PUNCT
brj-24742	325	29	pp	pp	X
brj-24742	325	30	.	.	PUNCT
brj-24742	326	1	5694	5694	NUM
brj-24742	326	2	-	-	SYM
brj-24742	326	3	5703	5703	NUM
brj-24742	326	4	.	.	PUNCT
brj-24742	327	1	https://doi.org/10.1109/cvpr52733.2024.00544	https://doi.org/10.1109/cvpr52733.2024.00544	PROPN
brj-24742	327	2	martins	martins	PROPN
brj-24742	327	3	,	,	PUNCT
brj-24742	327	4	j.	j.	PROPN
brj-24742	327	5	,	,	PUNCT
brj-24742	327	6	oliveira	oliveira	PROPN
brj-24742	327	7	,	,	PUNCT
brj-24742	327	8	l.	l.	PROPN
brj-24742	327	9	s.	s.	PROPN
brj-24742	327	10	,	,	PUNCT
brj-24742	327	11	nisgoski	nisgoski	PROPN
brj-24742	327	12	,	,	PUNCT
brj-24742	327	13	s.	s.	PROPN
brj-24742	327	14	,	,	PUNCT
brj-24742	327	15	and	and	CCONJ
brj-24742	327	16	sabourin	sabourin	PROPN
brj-24742	327	17	,	,	PUNCT
brj-24742	327	18	r.	r.	PROPN
brj-24742	327	19	(	(	PUNCT
brj-24742	327	20	2013	2013	NUM
brj-24742	327	21	)	)	PUNCT
brj-24742	327	22	.	.	PUNCT
brj-24742	328	1	“	"	PUNCT
brj-24742	328	2	a	a	DET
brj-24742	328	3	database	database	NOUN
brj-24742	328	4	for	for	ADP
brj-24742	328	5	automatic	automatic	ADJ
brj-24742	328	6	classification	classification	NOUN
brj-24742	328	7	of	of	ADP
brj-24742	328	8	forest	forest	NOUN
brj-24742	328	9	species	specie	NOUN
brj-24742	328	10	,	,	PUNCT
brj-24742	328	11	”	"	PUNCT
brj-24742	328	12	machine	machine	NOUN
brj-24742	328	13	vision	vision	NOUN
brj-24742	328	14	and	and	CCONJ
brj-24742	328	15	applications	application	NOUN
brj-24742	328	16	24(3	24(3	NOUN
brj-24742	328	17	)	)	PUNCT
brj-24742	328	18	,	,	PUNCT
brj-24742	328	19	567	567	NUM
brj-24742	328	20	-	-	SYM
brj-24742	328	21	578	578	NUM
brj-24742	328	22	.	.	PUNCT
brj-24742	329	1	https://doi.org/10.1007/s00138-012-0417-5	https://doi.org/10.1007/s00138-012-0417-5	NUM
brj-24742	329	2	moulin	moulin	PROPN
brj-24742	329	3	,	,	PUNCT
brj-24742	329	4	j.	j.	PROPN
brj-24742	329	5	c.	c.	PROPN
brj-24742	329	6	,	,	PUNCT
brj-24742	329	7	lopes	lopes	PROPN
brj-24742	329	8	,	,	PUNCT
brj-24742	329	9	d.	d.	PROPN
brj-24742	329	10	j.	j.	PROPN
brj-24742	329	11	v.	v.	PROPN
brj-24742	329	12	,	,	PUNCT
brj-24742	329	13	mulin	mulin	PROPN
brj-24742	329	14	,	,	PUNCT
brj-24742	329	15	l.	l.	PROPN
brj-24742	329	16	b.	b.	PROPN
brj-24742	329	17	,	,	PUNCT
brj-24742	329	18	bobadilha	bobadilha	NOUN
brj-24742	329	19	,	,	PUNCT
brj-24742	329	20	g.	g.	PROPN
brj-24742	329	21	s.	s.	PROPN
brj-24742	329	22	,	,	PUNCT
brj-24742	329	23	and	and	CCONJ
brj-24742	329	24	oliveira	oliveira	PROPN
brj-24742	329	25	r.	r.	PROPN
brj-24742	329	26	f.	f.	PROPN
brj-24742	329	27	(	(	PUNCT
brj-24742	329	28	2022	2022	NUM
brj-24742	329	29	)	)	PUNCT
brj-24742	329	30	.	.	PUNCT
brj-24742	330	1	“	"	PUNCT
brj-24742	330	2	microscopic	microscopic	ADJ
brj-24742	330	3	identification	identification	NOUN
brj-24742	330	4	of	of	ADP
brj-24742	330	5	brazilian	brazilian	ADJ
brj-24742	330	6	commercial	commercial	ADJ
brj-24742	330	7	wood	wood	NOUN
brj-24742	330	8	species	specie	NOUN
brj-24742	330	9	via	via	ADP
brj-24742	330	10	machinelearning	machinelearning	NOUN
brj-24742	330	11	,	,	PUNCT
brj-24742	330	12	”	"	PUNCT
brj-24742	330	13	cerne	cerne	NOUN
brj-24742	330	14	28(01	28(01	NUM
brj-24742	330	15	)	)	PUNCT
brj-24742	330	16	,	,	PUNCT
brj-24742	330	17	article	article	NOUN
brj-24742	330	18	2978	2978	NUM
brj-24742	330	19	.	.	PUNCT
brj-24742	331	1	https://doi.org/10.1590/01047760202228012978	https://doi.org/10.1590/01047760202228012978	PROPN
brj-24742	331	2	oktaria	oktaria	PROPN
brj-24742	331	3	,	,	PUNCT
brj-24742	331	4	a.	a.	PROPN
brj-24742	331	5	s.	s.	PROPN
brj-24742	331	6	,	,	PUNCT
brj-24742	331	7	prakasa	prakasa	PROPN
brj-24742	331	8	,	,	PUNCT
brj-24742	331	9	e.	e.	PROPN
brj-24742	331	10	,	,	PUNCT
brj-24742	331	11	suhartono	suhartono	PROPN
brj-24742	331	12	,	,	PUNCT
brj-24742	331	13	e.	e.	PROPN
brj-24742	331	14	,	,	PUNCT
brj-24742	331	15	sugiarto	sugiarto	PROPN
brj-24742	331	16	,	,	PUNCT
brj-24742	331	17	b.	b.	PROPN
brj-24742	331	18	,	,	PUNCT
brj-24742	331	19	prajitno	prajitno	PROPN
brj-24742	331	20	,	,	PUNCT
brj-24742	331	21	d.	d.	PROPN
brj-24742	331	22	r.	r.	PROPN
brj-24742	331	23	,	,	PUNCT
brj-24742	331	24	and	and	CCONJ
brj-24742	331	25	wardoyo	wardoyo	PROPN
brj-24742	331	26	,	,	PUNCT
brj-24742	331	27	r.	r.	PROPN
brj-24742	331	28	(	(	PUNCT
brj-24742	331	29	2019	2019	NUM
brj-24742	331	30	)	)	PUNCT
brj-24742	331	31	.	.	PUNCT
brj-24742	332	1	“	"	PUNCT
brj-24742	332	2	wood	wood	NOUN
brj-24742	332	3	species	species	NOUN
brj-24742	332	4	identification	identification	NOUN
brj-24742	332	5	using	use	VERB
brj-24742	332	6	convolutional	convolutional	ADJ
brj-24742	332	7	neural	neural	ADJ
brj-24742	332	8	network	network	NOUN
brj-24742	332	9	(	(	PUNCT
brj-24742	332	10	cnn	cnn	PROPN
brj-24742	332	11	)	)	PUNCT
brj-24742	332	12	architectures	architecture	NOUN
brj-24742	332	13	on	on	ADP
brj-24742	332	14	macroscopic	macroscopic	ADJ
brj-24742	332	15	images	image	NOUN
brj-24742	332	16	,	,	PUNCT
brj-24742	332	17	”	"	PUNCT
brj-24742	332	18	information	information	NOUN
brj-24742	332	19	technology	technology	NOUN
brj-24742	332	20	and	and	CCONJ
brj-24742	332	21	computer	computer	NOUN
brj-24742	332	22	science	science	NOUN
brj-24742	332	23	04(03	04(03	PROPN
brj-24742	332	24	)	)	PUNCT
brj-24742	332	25	,	,	PUNCT
brj-24742	332	26	274	274	NUM
brj-24742	332	27	-	-	SYM
brj-24742	332	28	283	283	NUM
brj-24742	332	29	.	.	PUNCT
brj-24742	333	1	https://doi.org/10.25126/jitecs.201943155	https://doi.org/10.25126/jitecs.201943155	PROPN
brj-24742	333	2	phillips	phillips	PROPN
brj-24742	333	3	,	,	PUNCT
brj-24742	333	4	e.	e.	PROPN
brj-24742	333	5	w.	w.	PROPN
brj-24742	333	6	j.	j.	PROPN
brj-24742	333	7	(	(	PUNCT
brj-24742	333	8	2008	2008	NUM
brj-24742	333	9	)	)	PUNCT
brj-24742	333	10	.	.	PUNCT
brj-24742	334	1	“	"	PUNCT
brj-24742	334	2	the	the	DET
brj-24742	334	3	identification	identification	NOUN
brj-24742	334	4	of	of	ADP
brj-24742	334	5	coniferous	coniferous	ADJ
brj-24742	334	6	woods	wood	NOUN
brj-24742	334	7	by	by	ADP
brj-24742	334	8	their	their	PRON
brj-24742	334	9	microscopic	microscopic	ADJ
brj-24742	334	10	structure	structure	NOUN
brj-24742	334	11	,	,	PUNCT
brj-24742	334	12	”	"	PUNCT
brj-24742	334	13	journal	journal	NOUN
brj-24742	334	14	of	of	ADP
brj-24742	334	15	the	the	DET
brj-24742	334	16	linnean	linnean	ADJ
brj-24742	334	17	society	society	NOUN
brj-24742	334	18	of	of	ADP
brj-24742	334	19	london	london	PROPN
brj-24742	334	20	52	52	NUM
brj-24742	334	21	,	,	PUNCT
brj-24742	334	22	259	259	NUM
brj-24742	334	23	-	-	SYM
brj-24742	334	24	320	320	NUM
brj-24742	334	25	.	.	PUNCT
brj-24742	335	1	https://doi.org/10.1111/j.1095-8339.1941.tb01390.x	https://doi.org/10.1111/j.1095-8339.1941.tb01390.x	PROPN
brj-24742	335	2	silva	silva	PROPN
brj-24742	335	3	,	,	PUNCT
brj-24742	335	4	n.	n.	PROPN
brj-24742	335	5	r.	r.	PROPN
brj-24742	335	6	,	,	PUNCT
brj-24742	335	7	ridder	ridder	PROPN
brj-24742	335	8	,	,	PUNCT
brj-24742	335	9	m.	m.	PROPN
brj-24742	335	10	d.	d.	PROPN
brj-24742	335	11	,	,	PUNCT
brj-24742	335	12	baetens	baeten	NOUN
brj-24742	335	13	,	,	PUNCT
brj-24742	335	14	j.	j.	PROPN
brj-24742	335	15	m.	m.	PROPN
brj-24742	335	16	,	,	PUNCT
brj-24742	335	17	bulcke	bulcke	PROPN
brj-24742	335	18	,	,	PUNCT
brj-24742	335	19	j.	j.	PROPN
brj-24742	335	20	v.	v.	PROPN
brj-24742	335	21	,	,	PUNCT
brj-24742	335	22	rousseau	rousseau	PROPN
brj-24742	335	23	,	,	PUNCT
brj-24742	335	24	m.	m.	NOUN
brj-24742	335	25	,	,	PUNCT
brj-24742	335	26	bruno	bruno	PROPN
brj-24742	335	27	,	,	PUNCT
brj-24742	335	28	o.	o.	PROPN
brj-24742	335	29	m.	m.	NOUN
brj-24742	335	30	,	,	PUNCT
brj-24742	335	31	beeckman	beeckman	PROPN
brj-24742	335	32	,	,	PUNCT
brj-24742	335	33	h.	h.	PROPN
brj-24742	335	34	,	,	PUNCT
brj-24742	335	35	acker	acker	PROPN
brj-24742	335	36	,	,	PUNCT
brj-24742	335	37	j.	j.	PROPN
brj-24742	335	38	v.	v.	PROPN
brj-24742	335	39	,	,	PUNCT
brj-24742	335	40	and	and	CCONJ
brj-24742	335	41	baets	baet	NOUN
brj-24742	335	42	,	,	PUNCT
brj-24742	335	43	b.	b.	PROPN
brj-24742	335	44	d.	d.	PROPN
brj-24742	335	45	(	(	PUNCT
brj-24742	335	46	2017	2017	NUM
brj-24742	335	47	)	)	PUNCT
brj-24742	335	48	.	.	PUNCT
brj-24742	336	1	“	"	PUNCT
brj-24742	336	2	automated	automate	VERB
brj-24742	336	3	classification	classification	NOUN
brj-24742	336	4	of	of	ADP
brj-24742	336	5	wood	wood	NOUN
brj-24742	336	6	transverse	transverse	NOUN
brj-24742	336	7	cross	cross	ADJ
brj-24742	336	8	-	-	NOUN
brj-24742	336	9	section	section	ADJ
brj-24742	336	10	micro	micro	NOUN
brj-24742	336	11	-	-	NOUN
brj-24742	336	12	imagery	imagery	NOUN
brj-24742	336	13	from	from	ADP
brj-24742	336	14	77	77	NUM
brj-24742	336	15	commercial	commercial	ADJ
brj-24742	336	16	central	central	ADJ
brj-24742	336	17	-	-	PUNCT
brj-24742	336	18	african	african	ADJ
brj-24742	336	19	timber	timber	NOUN
brj-24742	336	20	species	specie	NOUN
brj-24742	336	21	,	,	PUNCT
brj-24742	336	22	”	"	PUNCT
brj-24742	336	23	annals	annals	NOUN
brj-24742	336	24	of	of	ADP
brj-24742	336	25	forest	forest	NOUN
brj-24742	336	26	science	science	NOUN
brj-24742	336	27	74(30	74(30	NUM
brj-24742	336	28	)	)	PUNCT
brj-24742	336	29	,	,	PUNCT
brj-24742	336	30	1	1	NUM
brj-24742	336	31	-	-	SYM
brj-24742	336	32	14	14	NUM
brj-24742	336	33	.	.	PUNCT
brj-24742	337	1	https://doi.org/10.1007/s13595-017-0619-0	https://doi.org/10.1007/s13595-017-0619-0	NUM
brj-24742	337	2	simonyan	simonyan	PROPN
brj-24742	337	3	,	,	PUNCT
brj-24742	337	4	k.	k.	PROPN
brj-24742	337	5	,	,	PUNCT
brj-24742	337	6	and	and	CCONJ
brj-24742	337	7	zisserman	zisserman	NOUN
brj-24742	337	8	,	,	PUNCT
brj-24742	337	9	a.	a.	NOUN
brj-24742	337	10	(	(	PUNCT
brj-24742	337	11	2015	2015	NUM
brj-24742	337	12	)	)	PUNCT
brj-24742	337	13	.	.	PUNCT
brj-24742	338	1	“	"	PUNCT
brj-24742	338	2	very	very	ADV
brj-24742	338	3	deep	deep	ADJ
brj-24742	338	4	convolutional	convolutional	ADJ
brj-24742	338	5	networks	network	NOUN
brj-24742	338	6	for	for	ADP
brj-24742	338	7	largescale	largescale	ADJ
brj-24742	338	8	image	image	NOUN
brj-24742	338	9	recognition	recognition	NOUN
brj-24742	338	10	,	,	PUNCT
brj-24742	338	11	”	"	PUNCT
brj-24742	338	12	in	in	ADP
brj-24742	338	13	:	:	PUNCT
brj-24742	338	14	3rd	3rd	ADJ
brj-24742	338	15	international	international	ADJ
brj-24742	338	16	conference	conference	NOUN
brj-24742	338	17	on	on	ADP
brj-24742	338	18	learning	learn	VERB
brj-24742	338	19	representations	representation	NOUN
brj-24742	338	20	(	(	PUNCT
brj-24742	338	21	iclr	iclr	NOUN
brj-24742	338	22	)	)	PUNCT
brj-24742	338	23	,	,	PUNCT
brj-24742	338	24	san	san	PROPN
brj-24742	338	25	diego	diego	PROPN
brj-24742	338	26	,	,	PUNCT
brj-24742	338	27	ca	ca	PROPN
brj-24742	338	28	,	,	PUNCT
brj-24742	338	29	usa	usa	PROPN
brj-24742	338	30	,	,	PUNCT
brj-24742	338	31	pp	pp	ADJ
brj-24742	338	32	.	.	PUNCT
brj-24742	339	1	1	1	NUM
brj-24742	339	2	-	-	SYM
brj-24742	339	3	14	14	NUM
brj-24742	339	4	.	.	PUNCT
brj-24742	340	1	https://doi.org/10.48550/arxiv.1409.1556	https://doi.org/10.48550/arxiv.1409.1556	PROPN
brj-24742	340	2	szegedy	szegedy	PROPN
brj-24742	340	3	,	,	PUNCT
brj-24742	340	4	c.	c.	PROPN
brj-24742	340	5	,	,	PUNCT
brj-24742	340	6	liu	liu	PROPN
brj-24742	340	7	,	,	PUNCT
brj-24742	340	8	w.	w.	PROPN
brj-24742	340	9	,	,	PUNCT
brj-24742	340	10	jia	jia	PROPN
brj-24742	340	11	,	,	PUNCT
brj-24742	340	12	y.	y.	PROPN
brj-24742	340	13	q.	q.	PROPN
brj-24742	340	14	,	,	PUNCT
brj-24742	340	15	sermanet	sermanet	NOUN
brj-24742	340	16	,	,	PUNCT
brj-24742	340	17	p.	p.	PROPN
brj-24742	340	18	,	,	PUNCT
brj-24742	340	19	reed	reed	PROPN
brj-24742	340	20	,	,	PUNCT
brj-24742	340	21	s.	s.	PROPN
brj-24742	340	22	,	,	PUNCT
brj-24742	340	23	anguelov	anguelov	PROPN
brj-24742	340	24	,	,	PUNCT
brj-24742	340	25	d.	d.	PROPN
brj-24742	340	26	,	,	PUNCT
brj-24742	340	27	erhan	erhan	PROPN
brj-24742	340	28	,	,	PUNCT
brj-24742	340	29	d.	d.	PROPN
brj-24742	340	30	,	,	PUNCT
brj-24742	340	31	vanhoucke	vanhoucke	PROPN
brj-24742	340	32	,	,	PUNCT
brj-24742	340	33	v.	v.	ADV
brj-24742	340	34	,	,	PUNCT
brj-24742	340	35	and	and	CCONJ
brj-24742	340	36	rabinovich	rabinovich	NOUN
brj-24742	340	37	,	,	PUNCT
brj-24742	340	38	a.	a.	NOUN
brj-24742	340	39	(	(	PUNCT
brj-24742	340	40	2015	2015	NUM
brj-24742	340	41	)	)	PUNCT
brj-24742	340	42	.	.	PUNCT
brj-24742	341	1	“	"	PUNCT
brj-24742	341	2	going	go	VERB
brj-24742	341	3	deeper	deeply	ADV
brj-24742	341	4	with	with	ADP
brj-24742	341	5	convolutions	convolution	NOUN
brj-24742	341	6	,	,	PUNCT
brj-24742	341	7	”	"	PUNCT
brj-24742	341	8	in	in	ADP
brj-24742	341	9	:	:	PUNCT
brj-24742	341	10	2015	2015	NUM
brj-24742	341	11	ieee	ieee	NOUN
brj-24742	341	12	conference	conference	NOUN
brj-24742	341	13	on	on	ADP
brj-24742	341	14	computer	computer	NOUN
brj-24742	341	15	vision	vision	NOUN
brj-24742	341	16	and	and	CCONJ
brj-24742	341	17	pattern	pattern	NOUN
brj-24742	341	18	recognition	recognition	NOUN
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brj-24742	341	20	cvpr	cvpr	NOUN
brj-24742	341	21	)	)	PUNCT
brj-24742	341	22	,	,	PUNCT
brj-24742	341	23	boston	boston	PROPN
brj-24742	341	24	,	,	PUNCT
brj-24742	341	25	ma	ma	PROPN
brj-24742	341	26	,	,	PUNCT
brj-24742	341	27	usa	usa	PROPN
brj-24742	341	28	,	,	PUNCT
brj-24742	341	29	pp	pp	ADJ
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brj-24742	342	2	-	-	SYM
brj-24742	342	3	9	9	NUM
brj-24742	342	4	.	.	PUNCT
brj-24742	342	5	https://doi.org/	https://doi.org/	NOUN
brj-24742	342	6	10.1109	10.1109	NUM
brj-24742	342	7	/	/	SYM
brj-24742	342	8	cvpr.2015.7298594	cvpr.2015.7298594	PROPN
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brj-24742	342	11	m.	m.	NOUN
brj-24742	342	12	x.	x.	NOUN
brj-24742	342	13	,	,	PUNCT
brj-24742	342	14	and	and	CCONJ
brj-24742	342	15	le	le	X
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brj-24742	342	17	q.	q.	PROPN
brj-24742	342	18	v.	v.	PROPN
brj-24742	342	19	(	(	PUNCT
brj-24742	342	20	2019	2019	NUM
brj-24742	342	21	)	)	PUNCT
brj-24742	342	22	.	.	PUNCT
brj-24742	343	1	“	"	PUNCT
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brj-24742	343	4	rethinking	rethink	VERB
brj-24742	343	5	model	model	NOUN
brj-24742	343	6	scaling	scale	VERB
brj-24742	343	7	for	for	ADP
brj-24742	343	8	convolutional	convolutional	ADJ
brj-24742	343	9	neural	neural	ADJ
brj-24742	343	10	networks	network	NOUN
brj-24742	343	11	,	,	PUNCT
brj-24742	343	12	”	"	PUNCT
brj-24742	343	13	in	in	ADP
brj-24742	343	14	:	:	PUNCT
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brj-24742	343	17	the	the	DET
brj-24742	343	18	36th	36th	ADJ
brj-24742	343	19	international	international	ADJ
brj-24742	343	20	conference	conference	NOUN
brj-24742	343	21	on	on	ADP
brj-24742	343	22	machine	machine	NOUN
brj-24742	343	23	learning	learning	NOUN
brj-24742	343	24	(	(	PUNCT
brj-24742	343	25	icml	icml	PROPN
brj-24742	343	26	)	)	PUNCT
brj-24742	343	27	,	,	PUNCT
brj-24742	343	28	long	long	ADJ
brj-24742	343	29	beach	beach	NOUN
brj-24742	343	30	,	,	PUNCT
brj-24742	343	31	ca	ca	PROPN
brj-24742	343	32	,	,	PUNCT
brj-24742	343	33	usa	usa	PROPN
brj-24742	343	34	,	,	PUNCT
brj-24742	343	35	pp	pp	ADJ
brj-24742	343	36	.	.	PUNCT
brj-24742	344	1	6105	6105	NUM
brj-24742	344	2	-	-	PUNCT
brj-24742	344	3	6114	6114	NUM
brj-24742	344	4	.	.	PUNCT
brj-24742	345	1	https://doi.org/10.48550/arxiv.1905.11946	https://doi.org/10.48550/arxiv.1905.11946	PROPN
brj-24742	345	2	tan	tan	PROPN
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brj-24742	345	4	m.	m.	NOUN
brj-24742	345	5	x.	x.	NOUN
brj-24742	345	6	,	,	PUNCT
brj-24742	345	7	and	and	CCONJ
brj-24742	345	8	le	le	X
brj-24742	345	9	,	,	PUNCT
brj-24742	345	10	q.	q.	PROPN
brj-24742	345	11	v.	v.	PROPN
brj-24742	345	12	(	(	PUNCT
brj-24742	345	13	2021	2021	NUM
brj-24742	345	14	)	)	PUNCT
brj-24742	345	15	.	.	PUNCT
brj-24742	346	1	“	"	PUNCT
brj-24742	346	2	efficientnetv2	efficientnetv2	NOUN
brj-24742	346	3	:	:	PUNCT
brj-24742	346	4	smaller	small	ADJ
brj-24742	346	5	models	model	NOUN
brj-24742	346	6	and	and	CCONJ
brj-24742	346	7	faster	fast	ADJ
brj-24742	346	8	training	training	NOUN
brj-24742	346	9	,	,	PUNCT
brj-24742	346	10	”	"	PUNCT
brj-24742	346	11	in	in	ADP
brj-24742	346	12	:	:	PUNCT
brj-24742	346	13	proceedings	proceeding	NOUN
brj-24742	346	14	of	of	ADP
brj-24742	346	15	the	the	DET
brj-24742	346	16	38th	38th	ADJ
brj-24742	346	17	international	international	ADJ
brj-24742	346	18	conference	conference	NOUN
brj-24742	346	19	on	on	ADP
brj-24742	346	20	machine	machine	NOUN
brj-24742	346	21	learning	learning	NOUN
brj-24742	346	22	(	(	PUNCT
brj-24742	346	23	icml	icml	PROPN
brj-24742	346	24	)	)	PUNCT
brj-24742	346	25	,	,	PUNCT
brj-24742	346	26	vienna	vienna	PROPN
brj-24742	346	27	,	,	PUNCT
brj-24742	346	28	austria	austria	PROPN
brj-24742	346	29	,	,	PUNCT
brj-24742	346	30	pp	pp	ADJ
brj-24742	346	31	.	.	PUNCT
brj-24742	346	32	10096	10096	NUM
brj-24742	346	33	-	-	SYM
brj-24742	346	34	10106	10106	NUM
brj-24742	346	35	.	.	PUNCT
brj-24742	347	1	https://doi.org/10.48550/arxiv.2104.00298	https://doi.org/10.48550/arxiv.2104.00298	PROPN
brj-24742	347	2	u.s	u.s	PROPN
brj-24742	347	3	.	.	PROPN
brj-24742	347	4	green	green	PROPN
brj-24742	347	5	building	building	PROPN
brj-24742	347	6	council	council	PROPN
brj-24742	347	7	.	.	PUNCT
brj-24742	348	1	(	(	PUNCT
brj-24742	348	2	2019	2019	NUM
brj-24742	348	3	)	)	PUNCT
brj-24742	348	4	.	.	PUNCT
brj-24742	349	1	leed	leed	PROPN
brj-24742	349	2	v4	v4	PROPN
brj-24742	349	3	reference	reference	NOUN
brj-24742	349	4	guide	guide	NOUN
brj-24742	349	5	for	for	ADP
brj-24742	349	6	building	build	VERB
brj-24742	349	7	design	design	NOUN
brj-24742	349	8	and	and	CCONJ
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brj-24742	349	10	,	,	PUNCT
brj-24742	349	11	u.s	u.s	PROPN
brj-24742	349	12	.	.	PROPN
brj-24742	349	13	green	green	PROPN
brj-24742	349	14	building	building	PROPN
brj-24742	349	15	council	council	PROPN
brj-24742	349	16	,	,	PUNCT
brj-24742	349	17	washington	washington	PROPN
brj-24742	349	18	,	,	PUNCT
brj-24742	349	19	dc	dc	PROPN
brj-24742	349	20	,	,	PUNCT
brj-24742	349	21	usa	usa	PROPN
brj-24742	349	22	vaswani	vaswani	PROPN
brj-24742	349	23	,	,	PUNCT
brj-24742	349	24	a.	a.	NOUN
brj-24742	349	25	,	,	PUNCT
brj-24742	349	26	shazeer	shazeer	NOUN
brj-24742	349	27	,	,	PUNCT
brj-24742	349	28	n.	n.	NOUN
brj-24742	349	29	,	,	PUNCT
brj-24742	349	30	parmar	parmar	PROPN
brj-24742	349	31	,	,	PUNCT
brj-24742	349	32	n.	n.	NOUN
brj-24742	349	33	,	,	PUNCT
brj-24742	349	34	uszkoreit	uszkoreit	PROPN
brj-24742	349	35	,	,	PUNCT
brj-24742	349	36	j.	j.	PROPN
brj-24742	349	37	,	,	PUNCT
brj-24742	349	38	jones	jones	PROPN
brj-24742	349	39	,	,	PUNCT
brj-24742	349	40	l.	l.	PROPN
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brj-24742	349	42	gomez	gomez	PROPN
brj-24742	349	43	,	,	PUNCT
brj-24742	349	44	a.	a.	NOUN
brj-24742	349	45	n.	n.	PROPN
brj-24742	349	46	,	,	PUNCT
brj-24742	349	47	kaiser	kaiser	PROPN
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brj-24742	349	50	,	,	PUNCT
brj-24742	349	51	and	and	CCONJ
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brj-24742	349	53	,	,	PUNCT
brj-24742	349	54	i.	i.	NOUN
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brj-24742	349	56	2017	2017	NUM
brj-24742	349	57	)	)	PUNCT
brj-24742	349	58	.	.	PUNCT
brj-24742	350	1	“	"	PUNCT
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brj-24742	350	3	is	be	AUX
brj-24742	350	4	all	all	PRON
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brj-24742	350	7	,	,	PUNCT
brj-24742	350	8	”	"	PUNCT
brj-24742	350	9	advances	advance	NOUN
brj-24742	350	10	in	in	ADP
brj-24742	350	11	neural	neural	ADJ
brj-24742	350	12	information	information	NOUN
brj-24742	350	13	processing	processing	NOUN
brj-24742	350	14	systems	system	NOUN
brj-24742	350	15	(	(	PUNCT
brj-24742	350	16	nips	nip	NOUN
brj-24742	350	17	2017	2017	NUM
brj-24742	350	18	)	)	PUNCT
brj-24742	350	19	,	,	PUNCT
brj-24742	350	20	long	long	ADJ
brj-24742	350	21	beach	beach	NOUN
brj-24742	350	22	,	,	PUNCT
brj-24742	350	23	ca	ca	PROPN
brj-24742	350	24	,	,	PUNCT
brj-24742	350	25	usa	usa	PROPN
brj-24742	350	26	,	,	PUNCT
brj-24742	350	27	pp	pp	X
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brj-24742	351	1	5998	5998	NUM
brj-24742	351	2	-	-	SYM
brj-24742	351	3	6008	6008	NUM
brj-24742	351	4	.	.	PUNCT
brj-24742	352	1	https://doi.org/10.48550/arxiv.1706.03762	https://doi.org/10.48550/arxiv.1706.03762	PROPN
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brj-24742	352	7	https://doi.org/10.1111/j.1095-8339.1941.tb01390.x	https://doi.org/10.1111/j.1095-8339.1941.tb01390.x	NOUN
brj-24742	352	8	https://doi.org/10.1007/s13595-017-0619-0	https://doi.org/10.1007/s13595-017-0619-0	PROPN
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brj-24742	352	10	https://doi.org/	https://doi.org/	NOUN
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brj-24742	352	12	https://doi.org/10.48550/arxiv.2104.00298	https://doi.org/10.48550/arxiv.2104.00298	PROPN
brj-24742	353	1	https://doi.org/10.48550/arxiv.1706.03762	https://doi.org/10.48550/arxiv.1706.03762	PROPN
brj-24742	353	2	peer	peer	NOUN
brj-24742	353	3	-	-	PUNCT
brj-24742	353	4	reviewed	review	VERB
brj-24742	353	5	article	article	NOUN
brj-24742	353	6	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	X
brj-24742	353	7	tian	tian	PROPN
brj-24742	353	8	et	et	PROPN
brj-24742	353	9	al	al	PROPN
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brj-24742	353	12	2026	2026	NUM
brj-24742	353	13	)	)	PUNCT
brj-24742	353	14	.	.	PUNCT
brj-24742	354	1	“	"	PUNCT
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brj-24742	354	3	classification	classification	NOUN
brj-24742	354	4	for	for	ADP
brj-24742	354	5	design	design	NOUN
brj-24742	354	6	,	,	PUNCT
brj-24742	354	7	”	"	PUNCT
brj-24742	354	8	bioresources	bioresource	NOUN
brj-24742	354	9	21(1	21(1	NUM
brj-24742	354	10	)	)	PUNCT
brj-24742	354	11	,	,	PUNCT
brj-24742	354	12	781	781	NUM
brj-24742	354	13	-	-	SYM
brj-24742	354	14	798	798	NUM
brj-24742	354	15	.	.	PUNCT
brj-24742	355	1	798	798	NUM
brj-24742	355	2	zheng	zheng	PROPN
brj-24742	355	3	,	,	PUNCT
brj-24742	355	4	z.	z.	PROPN
brj-24742	355	5	z.	z.	PROPN
brj-24742	355	6	,	,	PUNCT
brj-24742	355	7	ge	ge	PROPN
brj-24742	355	8	,	,	PUNCT
brj-24742	355	9	z.	z.	PROPN
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brj-24742	355	11	,	,	PUNCT
brj-24742	355	12	tian	tian	PROPN
brj-24742	355	13	,	,	PUNCT
brj-24742	355	14	z.	z.	PROPN
brj-24742	355	15	k.	k.	PROPN
brj-24742	355	16	,	,	PUNCT
brj-24742	355	17	yang	yang	PROPN
brj-24742	355	18	,	,	PUNCT
brj-24742	355	19	x.	x.	PROPN
brj-24742	355	20	x.	x.	PROPN
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brj-24742	355	22	and	and	CCONJ
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brj-24742	355	25	y.	y.	PROPN
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brj-24742	355	28	2024	2024	NUM
brj-24742	355	29	)	)	PUNCT
brj-24742	355	30	.	.	PUNCT
brj-24742	356	1	“	"	PUNCT
brj-24742	356	2	woodglnet	woodglnet	NOUN
brj-24742	356	3	:	:	PUNCT
brj-24742	356	4	a	a	DET
brj-24742	356	5	multi	multi	ADJ
brj-24742	356	6	-	-	ADJ
brj-24742	356	7	scale	scale	ADJ
brj-24742	356	8	network	network	NOUN
brj-24742	356	9	integrating	integrate	VERB
brj-24742	356	10	global	global	ADJ
brj-24742	356	11	and	and	CCONJ
brj-24742	356	12	local	local	ADJ
brj-24742	356	13	information	information	NOUN
brj-24742	356	14	for	for	ADP
brj-24742	356	15	real	real	ADJ
brj-24742	356	16	-	-	PUNCT
brj-24742	356	17	time	time	NOUN
brj-24742	356	18	classification	classification	NOUN
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brj-24742	356	27	-	-	PUNCT
brj-24742	356	28	time	time	NOUN
brj-24742	356	29	image	image	NOUN
brj-24742	356	30	processing	process	VERB
brj-24742	356	31	21(04	21(04	NOUN
brj-24742	356	32	)	)	PUNCT
brj-24742	356	33	,	,	PUNCT
brj-24742	356	34	1	1	NUM
brj-24742	356	35	-	-	SYM
brj-24742	356	36	15	15	NUM
brj-24742	356	37	.	.	PUNCT
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brj-24742	357	2	article	article	NOUN
brj-24742	357	3	submitted	submit	VERB
brj-24742	357	4	:	:	PUNCT
brj-24742	357	5	april	april	PROPN
brj-24742	357	6	29	29	NUM
brj-24742	357	7	,	,	PUNCT
brj-24742	357	8	2025	2025	NUM
brj-24742	357	9	;	;	PUNCT
brj-24742	357	10	peer	peer	NOUN
brj-24742	357	11	review	review	NOUN
brj-24742	357	12	completed	complete	VERB
brj-24742	357	13	:	:	PUNCT
brj-24742	357	14	may	may	AUX
brj-24742	357	15	30	30	NUM
brj-24742	357	16	,	,	PUNCT
brj-24742	357	17	2025	2025	NUM
brj-24742	357	18	;	;	PUNCT
brj-24742	357	19	revised	revise	VERB
brj-24742	357	20	version	version	NOUN
brj-24742	357	21	received	receive	VERB
brj-24742	357	22	:	:	PUNCT
brj-24742	357	23	june	june	PROPN
brj-24742	357	24	30	30	NUM
brj-24742	357	25	,	,	PUNCT
brj-24742	357	26	2025	2025	NUM
brj-24742	357	27	;	;	PUNCT
brj-24742	357	28	accepted	accept	VERB
brj-24742	357	29	:	:	PUNCT
brj-24742	357	30	november	november	PROPN
brj-24742	357	31	18	18	NUM
brj-24742	357	32	,	,	PUNCT
brj-24742	357	33	2025	2025	NUM
brj-24742	357	34	;	;	PUNCT
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brj-24742	357	36	:	:	PUNCT
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brj-24742	357	38	9	9	NUM
brj-24742	357	39	,	,	PUNCT
brj-24742	357	40	2025	2025	NUM
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brj-24742	358	6	-	-	SYM
brj-24742	358	7	798	798	NUM
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