id	sid	tid	token	lemma	pos
brj-22439	1	1	peer	peer	NOUN
brj-22439	1	2	-	-	PUNCT
brj-22439	1	3	review	review	NOUN
brj-22439	1	4	article	article	NOUN
brj-22439	1	5	peer	peer	NOUN
brj-22439	1	6	-	-	PUNCT
brj-22439	1	7	reviewed	review	VERB
brj-22439	1	8	article	article	NOUN
brj-22439	1	9	bioresources.com	bioresources.com	X
brj-22439	1	10	chen	chen	PROPN
brj-22439	1	11	et	et	PROPN
brj-22439	1	12	al	al	PROPN
brj-22439	1	13	.	.	PROPN
brj-22439	1	14	(	(	PUNCT
brj-22439	1	15	2023	2023	NUM
brj-22439	1	16	)	)	PUNCT
brj-22439	1	17	.	.	PUNCT
brj-22439	2	1	“	"	PUNCT
brj-22439	2	2	timber	timber	NOUN
brj-22439	2	3	knot	knot	NOUN
brj-22439	2	4	detector	detector	NOUN
brj-22439	2	5	with	with	ADP
brj-22439	2	6	r	r	NOUN
brj-22439	2	7	-	-	PUNCT
brj-22439	2	8	cnn	cnn	PROPN
brj-22439	2	9	,	,	PUNCT
brj-22439	2	10	”	"	PUNCT
brj-22439	2	11	bioresources	bioresource	NOUN
brj-22439	2	12	18(3	18(3	NUM
brj-22439	2	13	)	)	PUNCT
brj-22439	2	14	,	,	PUNCT
brj-22439	2	15	4964	4964	NUM
brj-22439	2	16	-	-	SYM
brj-22439	2	17	4976	4976	NUM
brj-22439	2	18	.	.	PUNCT
brj-22439	3	1	4964	4964	NUM
brj-22439	3	2	timber	timber	NOUN
brj-22439	3	3	knot	knot	NOUN
brj-22439	3	4	detector	detector	NOUN
brj-22439	3	5	with	with	ADP
brj-22439	3	6	low	low	ADJ
brj-22439	3	7	false	false	ADJ
brj-22439	3	8	-	-	PUNCT
brj-22439	3	9	positive	positive	ADJ
brj-22439	3	10	results	result	NOUN
brj-22439	3	11	by	by	ADP
brj-22439	3	12	integrating	integrate	VERB
brj-22439	3	13	an	an	DET
brj-22439	3	14	overlapping	overlap	VERB
brj-22439	3	15	bounding	bounding	NOUN
brj-22439	3	16	box	box	NOUN
brj-22439	3	17	filter	filter	NOUN
brj-22439	3	18	with	with	ADP
brj-22439	3	19	faster	fast	ADJ
brj-22439	3	20	r	r	NOUN
brj-22439	3	21	-	-	PUNCT
brj-22439	3	22	cnn	cnn	PROPN
brj-22439	3	23	algorithm	algorithm	NOUN
brj-22439	3	24	wenping	wenpe	VERB
brj-22439	3	25	chen	chen	PROPN
brj-22439	3	26	,	,	PUNCT
brj-22439	3	27	a	a	DET
brj-22439	3	28	jing	jing	PROPN
brj-22439	3	29	liu	liu	PROPN
brj-22439	3	30	,	,	PUNCT
brj-22439	3	31	a	a	DET
brj-22439	3	32	yiming	yiming	ADJ
brj-22439	3	33	fang	fang	NOUN
brj-22439	3	34	,	,	PUNCT
brj-22439	3	35	a	a	PRON
brj-22439	3	36	,	,	PUNCT
brj-22439	3	37	*	*	NOUN
brj-22439	3	38	and	and	CCONJ
brj-22439	3	39	jianyong	jianyong	PROPN
brj-22439	3	40	zhao	zhao	PROPN
brj-22439	3	41	b	b	PROPN
brj-22439	3	42	knot	knot	NOUN
brj-22439	3	43	detection	detection	NOUN
brj-22439	3	44	is	be	AUX
brj-22439	3	45	an	an	DET
brj-22439	3	46	important	important	ADJ
brj-22439	3	47	aspect	aspect	NOUN
brj-22439	3	48	of	of	ADP
brj-22439	3	49	timber	timber	NOUN
brj-22439	3	50	grading	grade	VERB
brj-22439	3	51	.	.	PUNCT
brj-22439	4	1	reducing	reduce	VERB
brj-22439	4	2	the	the	DET
brj-22439	4	3	false	false	ADJ
brj-22439	4	4	-	-	PUNCT
brj-22439	4	5	positive	positive	ADJ
brj-22439	4	6	frequency	frequency	NOUN
brj-22439	4	7	of	of	ADP
brj-22439	4	8	knot	knot	ADJ
brj-22439	4	9	detection	detection	NOUN
brj-22439	4	10	will	will	AUX
brj-22439	4	11	improve	improve	VERB
brj-22439	4	12	the	the	DET
brj-22439	4	13	accuracy	accuracy	NOUN
brj-22439	4	14	of	of	ADP
brj-22439	4	15	the	the	DET
brj-22439	4	16	predicted	predict	VERB
brj-22439	4	17	grade	grade	NOUN
brj-22439	4	18	,	,	PUNCT
brj-22439	4	19	as	as	ADV
brj-22439	4	20	well	well	ADV
brj-22439	4	21	as	as	ADP
brj-22439	4	22	the	the	DET
brj-22439	4	23	utilization	utilization	NOUN
brj-22439	4	24	of	of	ADP
brj-22439	4	25	the	the	DET
brj-22439	4	26	graded	grade	VERB
brj-22439	4	27	timber	timber	NOUN
brj-22439	4	28	.	.	PUNCT
brj-22439	5	1	in	in	ADP
brj-22439	5	2	this	this	DET
brj-22439	5	3	study	study	NOUN
brj-22439	5	4	,	,	PUNCT
brj-22439	5	5	a	a	DET
brj-22439	5	6	framework	framework	NOUN
brj-22439	5	7	for	for	ADP
brj-22439	5	8	timber	timber	NOUN
brj-22439	5	9	knot	knot	NOUN
brj-22439	5	10	detection	detection	NOUN
brj-22439	5	11	was	be	AUX
brj-22439	5	12	proposed	propose	VERB
brj-22439	5	13	.	.	PUNCT
brj-22439	6	1	faster	fast	ADJ
brj-22439	6	2	rcnn	rcnn	PROPN
brj-22439	6	3	,	,	PUNCT
brj-22439	6	4	a	a	DET
brj-22439	6	5	state	state	NOUN
brj-22439	6	6	-	-	PUNCT
brj-22439	6	7	of	of	ADP
brj-22439	6	8	-	-	PUNCT
brj-22439	6	9	the	the	DET
brj-22439	6	10	-	-	PUNCT
brj-22439	6	11	art	art	NOUN
brj-22439	6	12	defect	defect	NOUN
brj-22439	6	13	identification	identification	NOUN
brj-22439	6	14	algorithm	algorithm	NOUN
brj-22439	6	15	,	,	PUNCT
brj-22439	6	16	was	be	AUX
brj-22439	6	17	first	first	ADV
brj-22439	6	18	employed	employ	VERB
brj-22439	6	19	to	to	PART
brj-22439	6	20	detect	detect	VERB
brj-22439	6	21	timber	timber	NOUN
brj-22439	6	22	knots	knot	NOUN
brj-22439	6	23	because	because	SCONJ
brj-22439	6	24	of	of	ADP
brj-22439	6	25	its	its	PRON
brj-22439	6	26	high	high	ADJ
brj-22439	6	27	true	true	ADJ
brj-22439	6	28	-	-	PUNCT
brj-22439	6	29	positive	positive	ADJ
brj-22439	6	30	frequency	frequency	NOUN
brj-22439	6	31	.	.	PUNCT
brj-22439	7	1	then	then	ADV
brj-22439	7	2	,	,	PUNCT
brj-22439	7	3	an	an	DET
brj-22439	7	4	overlapping	overlap	VERB
brj-22439	7	5	bounding	bounding	NOUN
brj-22439	7	6	box	box	NOUN
brj-22439	7	7	filter	filter	NOUN
brj-22439	7	8	was	be	AUX
brj-22439	7	9	proposed	propose	VERB
brj-22439	7	10	to	to	PART
brj-22439	7	11	lower	lower	VERB
brj-22439	7	12	the	the	DET
brj-22439	7	13	false	false	ADJ
brj-22439	7	14	positive	positive	ADJ
brj-22439	7	15	frequency	frequency	NOUN
brj-22439	7	16	achieved	achieve	VERB
brj-22439	7	17	by	by	ADP
brj-22439	7	18	faster	fast	ADJ
brj-22439	7	19	r	r	NOUN
brj-22439	7	20	-	-	PUNCT
brj-22439	7	21	cnn	cnn	PROPN
brj-22439	7	22	,	,	PUNCT
brj-22439	7	23	where	where	SCONJ
brj-22439	7	24	a	a	DET
brj-22439	7	25	single	single	ADJ
brj-22439	7	26	knot	knot	NOUN
brj-22439	7	27	is	be	AUX
brj-22439	7	28	sometimes	sometimes	ADV
brj-22439	7	29	marked	mark	VERB
brj-22439	7	30	several	several	ADJ
brj-22439	7	31	times	time	NOUN
brj-22439	7	32	.	.	PUNCT
brj-22439	8	1	the	the	DET
brj-22439	8	2	filter	filter	NOUN
brj-22439	8	3	merges	merge	VERB
brj-22439	8	4	the	the	DET
brj-22439	8	5	overlapping	overlap	VERB
brj-22439	8	6	bounding	bounding	NOUN
brj-22439	8	7	boxes	box	NOUN
brj-22439	8	8	for	for	ADP
brj-22439	8	9	one	one	NUM
brj-22439	8	10	actual	actual	ADJ
brj-22439	8	11	knot	knot	NOUN
brj-22439	8	12	into	into	ADP
brj-22439	8	13	one	one	NUM
brj-22439	8	14	box	box	NOUN
brj-22439	8	15	and	and	CCONJ
brj-22439	8	16	ensures	ensure	VERB
brj-22439	8	17	that	that	SCONJ
brj-22439	8	18	each	each	DET
brj-22439	8	19	knot	knot	NOUN
brj-22439	8	20	is	be	AUX
brj-22439	8	21	marked	mark	VERB
brj-22439	8	22	only	only	ADV
brj-22439	8	23	once	once	ADV
brj-22439	8	24	.	.	PUNCT
brj-22439	9	1	the	the	DET
brj-22439	9	2	main	main	ADJ
brj-22439	9	3	advantage	advantage	NOUN
brj-22439	9	4	of	of	ADP
brj-22439	9	5	this	this	DET
brj-22439	9	6	framework	framework	NOUN
brj-22439	9	7	is	be	AUX
brj-22439	9	8	that	that	SCONJ
brj-22439	9	9	it	it	PRON
brj-22439	9	10	reduces	reduce	VERB
brj-22439	9	11	the	the	DET
brj-22439	9	12	false	false	ADJ
brj-22439	9	13	positive	positive	ADJ
brj-22439	9	14	frequency	frequency	NOUN
brj-22439	9	15	with	with	ADP
brj-22439	9	16	a	a	DET
brj-22439	9	17	small	small	ADJ
brj-22439	9	18	computational	computational	ADJ
brj-22439	9	19	cost	cost	NOUN
brj-22439	9	20	and	and	CCONJ
brj-22439	9	21	a	a	DET
brj-22439	9	22	small	small	ADJ
brj-22439	9	23	impact	impact	NOUN
brj-22439	9	24	on	on	ADP
brj-22439	9	25	the	the	DET
brj-22439	9	26	true	true	ADJ
brj-22439	9	27	positive	positive	ADJ
brj-22439	9	28	frequency	frequency	NOUN
brj-22439	9	29	.	.	PUNCT
brj-22439	10	1	the	the	DET
brj-22439	10	2	experimental	experimental	ADJ
brj-22439	10	3	results	result	NOUN
brj-22439	10	4	showed	show	VERB
brj-22439	10	5	that	that	SCONJ
brj-22439	10	6	the	the	DET
brj-22439	10	7	detection	detection	NOUN
brj-22439	10	8	precision	precision	NOUN
brj-22439	10	9	improved	improve	VERB
brj-22439	10	10	from	from	ADP
brj-22439	10	11	90.9	90.9	NUM
brj-22439	10	12	%	%	NOUN
brj-22439	10	13	to	to	ADP
brj-22439	10	14	97.5	97.5	NUM
brj-22439	10	15	%	%	NOUN
brj-22439	10	16	by	by	ADP
brj-22439	10	17	filtering	filter	VERB
brj-22439	10	18	the	the	DET
brj-22439	10	19	overlapping	overlap	VERB
brj-22439	10	20	bounding	bounding	NOUN
brj-22439	10	21	box	box	NOUN
brj-22439	10	22	.	.	PUNCT
brj-22439	11	1	the	the	DET
brj-22439	11	2	framework	framework	NOUN
brj-22439	11	3	proposed	propose	VERB
brj-22439	11	4	in	in	ADP
brj-22439	11	5	this	this	DET
brj-22439	11	6	study	study	NOUN
brj-22439	11	7	is	be	AUX
brj-22439	11	8	competitive	competitive	ADJ
brj-22439	11	9	and	and	CCONJ
brj-22439	11	10	has	have	VERB
brj-22439	11	11	potential	potential	ADJ
brj-22439	11	12	applications	application	NOUN
brj-22439	11	13	for	for	ADP
brj-22439	11	14	detecting	detect	VERB
brj-22439	11	15	timber	timber	NOUN
brj-22439	11	16	knots	knot	NOUN
brj-22439	11	17	for	for	ADP
brj-22439	11	18	timber	timber	NOUN
brj-22439	11	19	grading	grading	NOUN
brj-22439	11	20	.	.	PUNCT
brj-22439	12	1	doi	doi	NOUN
brj-22439	12	2	:	:	PUNCT
brj-22439	12	3	10.15376	10.15376	NUM
brj-22439	12	4	/	/	SYM
brj-22439	12	5	biores.18.3.4964	biores.18.3.4964	PROPN
brj-22439	12	6	-	-	PUNCT
brj-22439	12	7	4976	4976	NUM
brj-22439	12	8	keywords	keyword	NOUN
brj-22439	12	9	:	:	PUNCT
brj-22439	12	10	timber	timber	NOUN
brj-22439	12	11	knot	knot	NOUN
brj-22439	12	12	detection	detection	NOUN
brj-22439	12	13	;	;	PUNCT
brj-22439	12	14	faster	fast	ADV
brj-22439	12	15	r	r	X
brj-22439	12	16	-	-	PUNCT
brj-22439	12	17	cnn	cnn	NOUN
brj-22439	12	18	;	;	PUNCT
brj-22439	12	19	false	false	ADJ
brj-22439	12	20	positive	positive	ADJ
brj-22439	12	21	results	result	NOUN
brj-22439	12	22	;	;	PUNCT
brj-22439	12	23	overlapping	overlap	VERB
brj-22439	12	24	bounding	bounding	NOUN
brj-22439	12	25	box	box	NOUN
brj-22439	12	26	filter	filter	NOUN
brj-22439	12	27	contact	contact	NOUN
brj-22439	12	28	information	information	NOUN
brj-22439	12	29	:	:	PUNCT
brj-22439	12	30	a	a	X
brj-22439	12	31	:	:	PUNCT
brj-22439	12	32	school	school	NOUN
brj-22439	12	33	of	of	ADP
brj-22439	12	34	mechanical	mechanical	ADJ
brj-22439	12	35	and	and	CCONJ
brj-22439	12	36	electrical	electrical	ADJ
brj-22439	12	37	engineering	engineering	NOUN
brj-22439	12	38	,	,	PUNCT
brj-22439	12	39	shaoxing	shaoxing	PROPN
brj-22439	12	40	university	university	PROPN
brj-22439	12	41	,	,	PUNCT
brj-22439	12	42	shaoxing	shaoxing	PROPN
brj-22439	12	43	312000	312000	NUM
brj-22439	12	44	,	,	PUNCT
brj-22439	12	45	p.	p.	PROPN
brj-22439	12	46	r.	r.	PROPN
brj-22439	12	47	china	china	PROPN
brj-22439	12	48	;	;	PUNCT
brj-22439	12	49	b	b	X
brj-22439	12	50	:	:	PUNCT
brj-22439	12	51	school	school	NOUN
brj-22439	12	52	of	of	ADP
brj-22439	12	53	computer	computer	NOUN
brj-22439	12	54	science	science	NOUN
brj-22439	12	55	and	and	CCONJ
brj-22439	12	56	technology	technology	NOUN
brj-22439	12	57	,	,	PUNCT
brj-22439	12	58	hangzhou	hangzhou	PROPN
brj-22439	12	59	dianzi	dianzi	PROPN
brj-22439	12	60	university	university	PROPN
brj-22439	12	61	,	,	PUNCT
brj-22439	12	62	hangzhou	hangzhou	PROPN
brj-22439	12	63	310037	310037	NUM
brj-22439	12	64	,	,	PUNCT
brj-22439	12	65	p.	p.	PROPN
brj-22439	12	66	r.	r.	PROPN
brj-22439	12	67	china	china	PROPN
brj-22439	12	68	;	;	PUNCT
brj-22439	12	69	*	*	PUNCT
brj-22439	12	70	corresponding	correspond	VERB
brj-22439	12	71	author	author	NOUN
brj-22439	12	72	:	:	PUNCT
brj-22439	12	73	ymfang@usx.edu.cn	ymfang@usx.edu.cn	NOUN
brj-22439	12	74	introduction	introduction	NOUN
brj-22439	12	75	grading	grade	VERB
brj-22439	12	76	is	be	AUX
brj-22439	12	77	one	one	NUM
brj-22439	12	78	of	of	ADP
brj-22439	12	79	the	the	DET
brj-22439	12	80	most	most	ADV
brj-22439	12	81	crucial	crucial	ADJ
brj-22439	12	82	procedures	procedure	NOUN
brj-22439	12	83	in	in	ADP
brj-22439	12	84	timber	timber	NOUN
brj-22439	12	85	manufacturing	manufacturing	NOUN
brj-22439	12	86	process	process	NOUN
brj-22439	12	87	(	(	PUNCT
brj-22439	12	88	gazo	gazo	NOUN
brj-22439	12	89	et	et	PROPN
brj-22439	12	90	al	al	PROPN
brj-22439	12	91	.	.	PROPN
brj-22439	12	92	2018	2018	NUM
brj-22439	12	93	;	;	PUNCT
brj-22439	12	94	olofsson	olofsson	NOUN
brj-22439	12	95	et	et	PROPN
brj-22439	12	96	al	al	PROPN
brj-22439	12	97	.	.	PROPN
brj-22439	12	98	2021	2021	NUM
brj-22439	12	99	)	)	PUNCT
brj-22439	12	100	.	.	PUNCT
brj-22439	13	1	the	the	DET
brj-22439	13	2	assigned	assign	VERB
brj-22439	13	3	grades	grade	NOUN
brj-22439	13	4	provide	provide	VERB
brj-22439	13	5	an	an	DET
brj-22439	13	6	efficient	efficient	ADJ
brj-22439	13	7	way	way	NOUN
brj-22439	13	8	to	to	PART
brj-22439	13	9	define	define	VERB
brj-22439	13	10	the	the	DET
brj-22439	13	11	timber	timber	NOUN
brj-22439	13	12	quality	quality	NOUN
brj-22439	13	13	and	and	CCONJ
brj-22439	13	14	help	help	VERB
brj-22439	13	15	buyers	buyer	NOUN
brj-22439	13	16	estimate	estimate	VERB
brj-22439	13	17	the	the	DET
brj-22439	13	18	cost	cost	NOUN
brj-22439	13	19	and	and	CCONJ
brj-22439	13	20	possible	possible	ADJ
brj-22439	13	21	waste	waste	NOUN
brj-22439	13	22	in	in	ADP
brj-22439	13	23	the	the	DET
brj-22439	13	24	subsequent	subsequent	ADJ
brj-22439	13	25	manufacturing	manufacturing	NOUN
brj-22439	13	26	processes	process	NOUN
brj-22439	13	27	.	.	PUNCT
brj-22439	14	1	in	in	ADP
brj-22439	14	2	many	many	ADJ
brj-22439	14	3	timber	timber	NOUN
brj-22439	14	4	grading	grade	VERB
brj-22439	14	5	rules	rule	NOUN
brj-22439	14	6	,	,	PUNCT
brj-22439	14	7	such	such	ADJ
brj-22439	14	8	as	as	ADP
brj-22439	14	9	en	en	ADP
brj-22439	14	10	14081	14081	NUM
brj-22439	14	11	-	-	SYM
brj-22439	14	12	1	1	NUM
brj-22439	14	13	,	,	PUNCT
brj-22439	14	14	nordic	nordic	ADJ
brj-22439	14	15	timber	timber	NOUN
brj-22439	14	16	grading	grade	VERB
brj-22439	14	17	rules	rule	NOUN
brj-22439	14	18	,	,	PUNCT
brj-22439	14	19	the	the	DET
brj-22439	14	20	number	number	NOUN
brj-22439	14	21	and	and	CCONJ
brj-22439	14	22	size	size	NOUN
brj-22439	14	23	of	of	ADP
brj-22439	14	24	knot	knot	ADJ
brj-22439	14	25	defects	defect	NOUN
brj-22439	14	26	are	be	AUX
brj-22439	14	27	import	import	NOUN
brj-22439	14	28	parameters	parameter	NOUN
brj-22439	14	29	that	that	PRON
brj-22439	14	30	determine	determine	VERB
brj-22439	14	31	the	the	DET
brj-22439	14	32	final	final	ADJ
brj-22439	14	33	results	result	NOUN
brj-22439	14	34	because	because	SCONJ
brj-22439	14	35	knot	knot	ADJ
brj-22439	14	36	defects	defect	NOUN
brj-22439	14	37	reduce	reduce	VERB
brj-22439	14	38	the	the	DET
brj-22439	14	39	usability	usability	NOUN
brj-22439	14	40	of	of	ADP
brj-22439	14	41	timber	timber	NOUN
brj-22439	14	42	(	(	PUNCT
brj-22439	14	43	fang	fang	X
brj-22439	14	44	et	et	PROPN
brj-22439	14	45	al	al	PROPN
brj-22439	14	46	.	.	PROPN
brj-22439	14	47	2021	2021	NUM
brj-22439	14	48	)	)	PUNCT
brj-22439	14	49	.	.	PUNCT
brj-22439	15	1	therefore	therefore	ADV
brj-22439	15	2	,	,	PUNCT
brj-22439	15	3	scientists	scientist	NOUN
brj-22439	15	4	have	have	AUX
brj-22439	15	5	been	be	AUX
brj-22439	15	6	investigating	investigate	VERB
brj-22439	15	7	the	the	DET
brj-22439	15	8	non	non	ADJ
brj-22439	15	9	-	-	ADJ
brj-22439	15	10	destructive	destructive	ADJ
brj-22439	15	11	identification	identification	NOUN
brj-22439	15	12	methods	method	NOUN
brj-22439	15	13	of	of	ADP
brj-22439	15	14	timber	timber	NOUN
brj-22439	15	15	knots	knot	NOUN
brj-22439	15	16	over	over	ADP
brj-22439	15	17	the	the	DET
brj-22439	15	18	past	past	ADJ
brj-22439	15	19	decades	decade	NOUN
brj-22439	15	20	.	.	PUNCT
brj-22439	16	1	this	this	DET
brj-22439	16	2	form	form	NOUN
brj-22439	16	3	of	of	ADP
brj-22439	16	4	identification	identification	NOUN
brj-22439	16	5	provides	provide	VERB
brj-22439	16	6	a	a	DET
brj-22439	16	7	promising	promising	ADJ
brj-22439	16	8	way	way	NOUN
brj-22439	16	9	to	to	PART
brj-22439	16	10	predict	predict	VERB
brj-22439	16	11	the	the	DET
brj-22439	16	12	correct	correct	ADJ
brj-22439	16	13	grade	grade	NOUN
brj-22439	16	14	for	for	ADP
brj-22439	16	15	sawn	sawn	NOUN
brj-22439	16	16	timber	timber	NOUN
brj-22439	16	17	and	and	CCONJ
brj-22439	16	18	enables	enable	VERB
brj-22439	16	19	the	the	DET
brj-22439	16	20	correct	correct	ADJ
brj-22439	16	21	choice	choice	NOUN
brj-22439	16	22	of	of	ADP
brj-22439	16	23	timber	timber	NOUN
brj-22439	16	24	for	for	ADP
brj-22439	16	25	various	various	ADJ
brj-22439	16	26	wooden	wooden	ADJ
brj-22439	16	27	products	product	NOUN
brj-22439	16	28	(	(	PUNCT
brj-22439	16	29	qu	qu	PROPN
brj-22439	16	30	et	et	PROPN
brj-22439	16	31	al	al	PROPN
brj-22439	16	32	.	.	PROPN
brj-22439	16	33	2019	2019	NUM
brj-22439	16	34	)	)	PUNCT
brj-22439	16	35	.	.	PUNCT
brj-22439	17	1	traditionally	traditionally	ADV
brj-22439	17	2	,	,	PUNCT
brj-22439	17	3	non	non	ADJ
brj-22439	17	4	-	-	ADJ
brj-22439	17	5	destructive	destructive	ADJ
brj-22439	17	6	knot	knot	NOUN
brj-22439	17	7	defect	defect	NOUN
brj-22439	17	8	identification	identification	NOUN
brj-22439	17	9	has	have	AUX
brj-22439	17	10	been	be	AUX
brj-22439	17	11	performed	perform	VERB
brj-22439	17	12	manually	manually	ADV
brj-22439	17	13	by	by	ADP
brj-22439	17	14	trained	train	VERB
brj-22439	17	15	inspectors	inspector	NOUN
brj-22439	17	16	,	,	PUNCT
brj-22439	17	17	which	which	PRON
brj-22439	17	18	is	be	AUX
brj-22439	17	19	tedious	tedious	ADJ
brj-22439	17	20	,	,	PUNCT
brj-22439	17	21	time	time	NOUN
brj-22439	17	22	-	-	PUNCT
brj-22439	17	23	consuming	consume	VERB
brj-22439	17	24	,	,	PUNCT
brj-22439	17	25	and	and	CCONJ
brj-22439	17	26	labor	labor	NOUN
brj-22439	17	27	-	-	PUNCT
brj-22439	17	28	intensive	intensive	ADJ
brj-22439	17	29	.	.	PUNCT
brj-22439	18	1	in	in	ADP
brj-22439	18	2	addition	addition	NOUN
brj-22439	18	3	,	,	PUNCT
brj-22439	18	4	detection	detection	NOUN
brj-22439	18	5	with	with	ADP
brj-22439	18	6	high	high	ADJ
brj-22439	18	7	repeatability	repeatability	NOUN
brj-22439	18	8	and	and	CCONJ
brj-22439	18	9	accuracy	accuracy	NOUN
brj-22439	18	10	is	be	AUX
brj-22439	18	11	not	not	PART
brj-22439	18	12	guaranteed	guarantee	VERB
brj-22439	18	13	.	.	PUNCT
brj-22439	19	1	with	with	ADP
brj-22439	19	2	the	the	DET
brj-22439	19	3	development	development	NOUN
brj-22439	19	4	of	of	ADP
brj-22439	19	5	computer	computer	NOUN
brj-22439	19	6	techniques	technique	NOUN
brj-22439	19	7	,	,	PUNCT
brj-22439	19	8	machine	machine	NOUN
brj-22439	19	9	vision	vision	NOUN
brj-22439	19	10	is	be	AUX
brj-22439	19	11	currently	currently	ADV
brj-22439	19	12	becoming	become	VERB
brj-22439	19	13	an	an	DET
brj-22439	19	14	effective	effective	ADJ
brj-22439	19	15	way	way	NOUN
brj-22439	19	16	to	to	PART
brj-22439	19	17	replace	replace	VERB
brj-22439	19	18	manual	manual	ADJ
brj-22439	19	19	inspection	inspection	NOUN
brj-22439	19	20	due	due	ADP
brj-22439	19	21	to	to	ADP
brj-22439	19	22	its	its	PRON
brj-22439	19	23	low	low	ADJ
brj-22439	19	24	cost	cost	NOUN
brj-22439	19	25	and	and	CCONJ
brj-22439	19	26	degree	degree	NOUN
brj-22439	19	27	of	of	ADP
brj-22439	19	28	automation	automation	NOUN
brj-22439	19	29	.	.	PUNCT
brj-22439	20	1	the	the	DET
brj-22439	20	2	peer	peer	NOUN
brj-22439	20	3	-	-	PUNCT
brj-22439	20	4	reviewed	review	VERB
brj-22439	20	5	article	article	NOUN
brj-22439	20	6	bioresources.com	bioresources.com	X
brj-22439	20	7	chen	chen	PROPN
brj-22439	20	8	et	et	PROPN
brj-22439	20	9	al	al	PROPN
brj-22439	20	10	.	.	PROPN
brj-22439	20	11	(	(	PUNCT
brj-22439	20	12	2023	2023	NUM
brj-22439	20	13	)	)	PUNCT
brj-22439	20	14	.	.	PUNCT
brj-22439	21	1	“	"	PUNCT
brj-22439	21	2	timber	timber	NOUN
brj-22439	21	3	knot	knot	NOUN
brj-22439	21	4	detector	detector	NOUN
brj-22439	21	5	with	with	ADP
brj-22439	21	6	r	r	NOUN
brj-22439	21	7	-	-	PUNCT
brj-22439	21	8	cnn	cnn	PROPN
brj-22439	21	9	,	,	PUNCT
brj-22439	21	10	”	"	PUNCT
brj-22439	21	11	bioresources	bioresource	NOUN
brj-22439	21	12	18(3	18(3	NUM
brj-22439	21	13	)	)	PUNCT
brj-22439	21	14	,	,	PUNCT
brj-22439	21	15	4964	4964	NUM
brj-22439	21	16	-	-	SYM
brj-22439	21	17	4976	4976	NUM
brj-22439	21	18	.	.	PUNCT
brj-22439	22	1	4965	4965	NUM
brj-22439	22	2	accuracy	accuracy	NOUN
brj-22439	22	3	of	of	ADP
brj-22439	22	4	this	this	DET
brj-22439	22	5	method	method	NOUN
brj-22439	22	6	depends	depend	VERB
brj-22439	22	7	on	on	ADP
brj-22439	22	8	the	the	DET
brj-22439	22	9	methods	method	NOUN
brj-22439	22	10	that	that	PRON
brj-22439	22	11	are	be	AUX
brj-22439	22	12	employed	employ	VERB
brj-22439	22	13	to	to	PART
brj-22439	22	14	identify	identify	VERB
brj-22439	22	15	knots	knot	NOUN
brj-22439	22	16	from	from	ADP
brj-22439	22	17	the	the	DET
brj-22439	22	18	timber	timber	NOUN
brj-22439	22	19	images	image	NOUN
brj-22439	22	20	.	.	PUNCT
brj-22439	23	1	various	various	ADJ
brj-22439	23	2	algorithms	algorithm	NOUN
brj-22439	23	3	in	in	ADP
brj-22439	23	4	the	the	DET
brj-22439	23	5	field	field	NOUN
brj-22439	23	6	of	of	ADP
brj-22439	23	7	target	target	NOUN
brj-22439	23	8	recognition	recognition	NOUN
brj-22439	23	9	have	have	AUX
brj-22439	23	10	been	be	AUX
brj-22439	23	11	introduced	introduce	VERB
brj-22439	23	12	to	to	PART
brj-22439	23	13	address	address	VERB
brj-22439	23	14	barriers	barrier	NOUN
brj-22439	23	15	to	to	ADP
brj-22439	23	16	improving	improve	VERB
brj-22439	23	17	accuracy	accuracy	NOUN
brj-22439	23	18	.	.	PUNCT
brj-22439	24	1	earlier	early	ADJ
brj-22439	24	2	methods	method	NOUN
brj-22439	24	3	consisted	consist	VERB
brj-22439	24	4	of	of	ADP
brj-22439	24	5	feature	feature	NOUN
brj-22439	24	6	extraction	extraction	NOUN
brj-22439	24	7	and	and	CCONJ
brj-22439	24	8	classifiers	classifier	NOUN
brj-22439	24	9	,	,	PUNCT
brj-22439	24	10	which	which	PRON
brj-22439	24	11	were	be	AUX
brj-22439	24	12	both	both	PRON
brj-22439	24	13	designed	design	VERB
brj-22439	24	14	manually	manually	ADV
brj-22439	24	15	(	(	PUNCT
brj-22439	24	16	hwang	hwang	PROPN
brj-22439	24	17	et	et	PROPN
brj-22439	24	18	al	al	PROPN
brj-22439	24	19	.	.	PROPN
brj-22439	24	20	2021	2021	NUM
brj-22439	24	21	)	)	PUNCT
brj-22439	24	22	.	.	PUNCT
brj-22439	25	1	however	however	ADV
brj-22439	25	2	,	,	PUNCT
brj-22439	25	3	the	the	DET
brj-22439	25	4	performance	performance	NOUN
brj-22439	25	5	of	of	ADP
brj-22439	25	6	these	these	DET
brj-22439	25	7	approaches	approach	NOUN
brj-22439	25	8	was	be	AUX
brj-22439	25	9	affected	affect	VERB
brj-22439	25	10	by	by	ADP
brj-22439	25	11	material	material	NOUN
brj-22439	25	12	variations	variation	NOUN
brj-22439	25	13	.	.	PUNCT
brj-22439	26	1	when	when	SCONJ
brj-22439	26	2	the	the	DET
brj-22439	26	3	tree	tree	NOUN
brj-22439	26	4	species	specie	NOUN
brj-22439	26	5	or	or	CCONJ
brj-22439	26	6	surface	surface	NOUN
brj-22439	26	7	condition	condition	NOUN
brj-22439	26	8	changes	change	NOUN
brj-22439	26	9	,	,	PUNCT
brj-22439	26	10	the	the	DET
brj-22439	26	11	texture	texture	NOUN
brj-22439	26	12	and	and	CCONJ
brj-22439	26	13	color	color	NOUN
brj-22439	26	14	of	of	ADP
brj-22439	26	15	the	the	DET
brj-22439	26	16	timber	timber	NOUN
brj-22439	26	17	vary	vary	VERB
brj-22439	26	18	dramatically	dramatically	ADV
brj-22439	26	19	(	(	PUNCT
brj-22439	26	20	he	he	PRON
brj-22439	26	21	et	et	PROPN
brj-22439	26	22	al	al	PROPN
brj-22439	26	23	.	.	PROPN
brj-22439	26	24	2019	2019	NUM
brj-22439	26	25	)	)	PUNCT
brj-22439	26	26	.	.	PUNCT
brj-22439	27	1	some	some	DET
brj-22439	27	2	methods	method	NOUN
brj-22439	27	3	did	do	AUX
brj-22439	27	4	not	not	PART
brj-22439	27	5	present	present	VERB
brj-22439	27	6	a	a	DET
brj-22439	27	7	universal	universal	ADJ
brj-22439	27	8	and	and	CCONJ
brj-22439	27	9	sufficiently	sufficiently	ADV
brj-22439	27	10	robust	robust	ADJ
brj-22439	27	11	solution	solution	NOUN
brj-22439	27	12	with	with	ADP
brj-22439	27	13	respect	respect	NOUN
brj-22439	27	14	to	to	ADP
brj-22439	27	15	the	the	DET
brj-22439	27	16	number	number	NOUN
brj-22439	27	17	of	of	ADP
brj-22439	27	18	samples	sample	NOUN
brj-22439	27	19	,	,	PUNCT
brj-22439	27	20	along	along	ADP
brj-22439	27	21	with	with	ADP
brj-22439	27	22	the	the	DET
brj-22439	27	23	extent	extent	NOUN
brj-22439	27	24	of	of	ADP
brj-22439	27	25	the	the	DET
brj-22439	27	26	presented	present	VERB
brj-22439	27	27	dataset	dataset	NOUN
brj-22439	27	28	(	(	PUNCT
brj-22439	27	29	kryl	kryl	NOUN
brj-22439	27	30	et	et	PROPN
brj-22439	27	31	al	al	PROPN
brj-22439	27	32	.	.	PROPN
brj-22439	27	33	2020	2020	NUM
brj-22439	27	34	)	)	PUNCT
brj-22439	27	35	.	.	PUNCT
brj-22439	28	1	with	with	ADP
brj-22439	28	2	the	the	DET
brj-22439	28	3	development	development	NOUN
brj-22439	28	4	of	of	ADP
brj-22439	28	5	machine	machine	NOUN
brj-22439	28	6	learning	learning	NOUN
brj-22439	28	7	,	,	PUNCT
brj-22439	28	8	deep	deep	ADJ
brj-22439	28	9	learning	learning	NOUN
brj-22439	28	10	technology	technology	NOUN
brj-22439	28	11	has	have	AUX
brj-22439	28	12	been	be	AUX
brj-22439	28	13	widely	widely	ADV
brj-22439	28	14	used	use	VERB
brj-22439	28	15	because	because	SCONJ
brj-22439	28	16	of	of	ADP
brj-22439	28	17	its	its	PRON
brj-22439	28	18	ability	ability	NOUN
brj-22439	28	19	to	to	PART
brj-22439	28	20	solve	solve	VERB
brj-22439	28	21	image	image	NOUN
brj-22439	28	22	-	-	PUNCT
brj-22439	28	23	classification	classification	NOUN
brj-22439	28	24	problems	problem	NOUN
brj-22439	28	25	(	(	PUNCT
brj-22439	28	26	wang	wang	PROPN
brj-22439	28	27	et	et	PROPN
brj-22439	28	28	al	al	PROPN
brj-22439	28	29	.	.	PROPN
brj-22439	28	30	2021	2021	NUM
brj-22439	28	31	)	)	PUNCT
brj-22439	28	32	.	.	PUNCT
brj-22439	29	1	many	many	ADJ
brj-22439	29	2	convolutional	convolutional	ADJ
brj-22439	29	3	neural	neural	ADJ
brj-22439	29	4	network	network	NOUN
brj-22439	29	5	(	(	PUNCT
brj-22439	29	6	cnn)-based	cnn)-base	VERB
brj-22439	29	7	models	model	NOUN
brj-22439	29	8	have	have	AUX
brj-22439	29	9	been	be	AUX
brj-22439	29	10	proposed	propose	VERB
brj-22439	29	11	in	in	ADP
brj-22439	29	12	recent	recent	ADJ
brj-22439	29	13	years	year	NOUN
brj-22439	29	14	,	,	PUNCT
brj-22439	29	15	such	such	ADJ
brj-22439	29	16	as	as	ADP
brj-22439	29	17	alexnet	alexnet	ADJ
brj-22439	29	18	,	,	PUNCT
brj-22439	29	19	vgg	vgg	ADJ
brj-22439	29	20	,	,	PUNCT
brj-22439	29	21	googlenet	googlenet	NOUN
brj-22439	29	22	,	,	PUNCT
brj-22439	29	23	resnet	resnet	NOUN
brj-22439	29	24	,	,	PUNCT
brj-22439	29	25	densenet	densenet	NOUN
brj-22439	29	26	,	,	PUNCT
brj-22439	29	27	and	and	CCONJ
brj-22439	29	28	efficientnet	efficientnet	NOUN
brj-22439	29	29	(	(	PUNCT
brj-22439	29	30	tulbure	tulbure	NOUN
brj-22439	29	31	et	et	PROPN
brj-22439	29	32	al	al	PROPN
brj-22439	29	33	.	.	PROPN
brj-22439	29	34	2022	2022	NUM
brj-22439	29	35	)	)	PUNCT
brj-22439	29	36	.	.	PUNCT
brj-22439	30	1	further	far	ADV
brj-22439	30	2	,	,	PUNCT
brj-22439	30	3	many	many	ADJ
brj-22439	30	4	of	of	ADP
brj-22439	30	5	these	these	PRON
brj-22439	30	6	have	have	AUX
brj-22439	30	7	been	be	AUX
brj-22439	30	8	utilized	utilize	VERB
brj-22439	30	9	to	to	PART
brj-22439	30	10	inspect	inspect	VERB
brj-22439	30	11	timber	timber	NOUN
brj-22439	30	12	surfaces	surface	NOUN
brj-22439	30	13	(	(	PUNCT
brj-22439	30	14	shi	shi	PROPN
brj-22439	30	15	et	et	PROPN
brj-22439	30	16	al	al	PROPN
brj-22439	30	17	.	.	PROPN
brj-22439	30	18	2020	2020	NUM
brj-22439	30	19	;	;	PUNCT
brj-22439	30	20	anam	anam	X
brj-22439	30	21	2021	2021	NUM
brj-22439	30	22	)	)	PUNCT
brj-22439	30	23	.	.	PUNCT
brj-22439	31	1	in	in	ADP
brj-22439	31	2	a	a	DET
brj-22439	31	3	pioneer	pioneer	NOUN
brj-22439	31	4	study	study	NOUN
brj-22439	31	5	,	,	PUNCT
brj-22439	31	6	the	the	DET
brj-22439	31	7	performances	performance	NOUN
brj-22439	31	8	of	of	ADP
brj-22439	31	9	alexnet	alexnet	NOUN
brj-22439	31	10	,	,	PUNCT
brj-22439	31	11	googlenet	googlenet	NOUN
brj-22439	31	12	,	,	PUNCT
brj-22439	31	13	vgg-16	vgg-16	NOUN
brj-22439	31	14	,	,	PUNCT
brj-22439	31	15	and	and	CCONJ
brj-22439	31	16	resnet-50	resnet-50	PROPN
brj-22439	31	17	in	in	ADP
brj-22439	31	18	detecting	detect	VERB
brj-22439	31	19	mechanical	mechanical	ADJ
brj-22439	31	20	damage	damage	NOUN
brj-22439	31	21	in	in	ADP
brj-22439	31	22	sawn	sawn	NOUN
brj-22439	31	23	timbers	timber	NOUN
brj-22439	31	24	were	be	AUX
brj-22439	31	25	compared	compare	VERB
brj-22439	31	26	(	(	PUNCT
brj-22439	31	27	rudakov	rudakov	PROPN
brj-22439	31	28	et	et	PROPN
brj-22439	31	29	al	al	PROPN
brj-22439	31	30	.	.	PROPN
brj-22439	31	31	2018	2018	NUM
brj-22439	31	32	;	;	PUNCT
brj-22439	31	33	anam	anam	X
brj-22439	31	34	2021	2021	NUM
brj-22439	31	35	)	)	PUNCT
brj-22439	31	36	.	.	PUNCT
brj-22439	32	1	hu	hu	PROPN
brj-22439	32	2	et	et	PROPN
brj-22439	32	3	al	al	PROPN
brj-22439	32	4	.	.	PROPN
brj-22439	32	5	(	(	PUNCT
brj-22439	32	6	2020	2020	NUM
brj-22439	32	7	)	)	PUNCT
brj-22439	32	8	employed	employ	VERB
brj-22439	32	9	mask	mask	NOUN
brj-22439	32	10	rcnn	rcnn	PROPN
brj-22439	32	11	to	to	PART
brj-22439	32	12	identify	identify	VERB
brj-22439	32	13	dead	dead	ADJ
brj-22439	32	14	knots	knot	NOUN
brj-22439	32	15	,	,	PUNCT
brj-22439	32	16	live	live	ADJ
brj-22439	32	17	knots	knot	NOUN
brj-22439	32	18	,	,	PUNCT
brj-22439	32	19	and	and	CCONJ
brj-22439	32	20	insect	insect	VERB
brj-22439	32	21	holes	hole	NOUN
brj-22439	32	22	on	on	ADP
brj-22439	32	23	the	the	DET
brj-22439	32	24	surface	surface	NOUN
brj-22439	32	25	of	of	ADP
brj-22439	32	26	poplar	poplar	ADJ
brj-22439	32	27	veneers	veneer	NOUN
brj-22439	32	28	.	.	PUNCT
brj-22439	33	1	liu	liu	PROPN
brj-22439	33	2	et	et	PROPN
brj-22439	33	3	al	al	PROPN
brj-22439	33	4	.	.	PROPN
brj-22439	33	5	(	(	PUNCT
brj-22439	33	6	2020	2020	NUM
brj-22439	33	7	)	)	PUNCT
brj-22439	33	8	tested	test	VERB
brj-22439	33	9	the	the	DET
brj-22439	33	10	validity	validity	NOUN
brj-22439	33	11	and	and	CCONJ
brj-22439	33	12	reliability	reliability	NOUN
brj-22439	33	13	of	of	ADP
brj-22439	33	14	yolo	yolo	PROPN
brj-22439	33	15	-	-	PUNCT
brj-22439	33	16	v3	v3	PROPN
brj-22439	33	17	for	for	ADP
brj-22439	33	18	detecting	detect	VERB
brj-22439	33	19	timber	timber	NOUN
brj-22439	33	20	cracks	crack	NOUN
brj-22439	33	21	.	.	PUNCT
brj-22439	34	1	a	a	DET
brj-22439	34	2	gaussian	gaussian	ADJ
brj-22439	34	3	function	function	NOUN
brj-22439	34	4	to	to	ADP
brj-22439	34	5	yolo	yolo	PROPN
brj-22439	34	6	-	-	PUNCT
brj-22439	34	7	v3	v3	PROPN
brj-22439	34	8	to	to	PART
brj-22439	34	9	model	model	VERB
brj-22439	34	10	the	the	DET
brj-22439	34	11	coordinates	coordinate	NOUN
brj-22439	34	12	of	of	ADP
brj-22439	34	13	bounding	bounding	NOUN
brj-22439	34	14	boxes	box	NOUN
brj-22439	34	15	was	be	AUX
brj-22439	34	16	introduced	introduce	VERB
brj-22439	34	17	and	and	CCONJ
brj-22439	34	18	later	later	ADV
brj-22439	34	19	replaced	replace	VERB
brj-22439	34	20	the	the	DET
brj-22439	34	21	iou	iou	NOUN
brj-22439	34	22	loss	loss	NOUN
brj-22439	34	23	function	function	NOUN
brj-22439	34	24	with	with	ADP
brj-22439	34	25	the	the	DET
brj-22439	34	26	ciou	ciou	NOUN
brj-22439	34	27	loss	loss	NOUN
brj-22439	34	28	function	function	NOUN
brj-22439	34	29	.	.	PUNCT
brj-22439	35	1	then	then	ADV
brj-22439	35	2	,	,	PUNCT
brj-22439	35	3	the	the	DET
brj-22439	35	4	modified	modify	VERB
brj-22439	35	5	yolo	yolo	PROPN
brj-22439	35	6	-	-	PUNCT
brj-22439	35	7	v3	v3	PROPN
brj-22439	35	8	procedure	procedure	NOUN
brj-22439	35	9	was	be	AUX
brj-22439	35	10	applied	apply	VERB
brj-22439	35	11	to	to	ADP
brj-22439	35	12	two	two	NUM
brj-22439	35	13	datasets	dataset	NOUN
brj-22439	35	14	of	of	ADP
brj-22439	35	15	timber	timber	NOUN
brj-22439	35	16	surface	surface	NOUN
brj-22439	35	17	images	image	NOUN
brj-22439	35	18	to	to	PART
brj-22439	35	19	identify	identify	VERB
brj-22439	35	20	timber	timber	NOUN
brj-22439	35	21	surface	surface	NOUN
brj-22439	35	22	defects	defect	NOUN
brj-22439	35	23	(	(	PUNCT
brj-22439	35	24	tu	tu	X
brj-22439	35	25	et	et	PROPN
brj-22439	35	26	al	al	PROPN
brj-22439	35	27	.	.	PROPN
brj-22439	35	28	2021	2021	NUM
brj-22439	35	29	)	)	PUNCT
brj-22439	35	30	.	.	PUNCT
brj-22439	36	1	ding	de	VERB
brj-22439	36	2	et	et	PROPN
brj-22439	36	3	al	al	PROPN
brj-22439	36	4	.	.	PROPN
brj-22439	37	1	(	(	PUNCT
brj-22439	37	2	2020	2020	NUM
brj-22439	37	3	)	)	PUNCT
brj-22439	37	4	replaced	replace	VERB
brj-22439	37	5	the	the	DET
brj-22439	37	6	vgg16	vgg16	NOUN
brj-22439	37	7	network	network	NOUN
brj-22439	37	8	in	in	ADP
brj-22439	37	9	the	the	DET
brj-22439	37	10	ssd	ssd	NOUN
brj-22439	37	11	model	model	NOUN
brj-22439	37	12	with	with	ADP
brj-22439	37	13	densenet121	densenet121	PROPN
brj-22439	37	14	and	and	CCONJ
brj-22439	37	15	used	use	VERB
brj-22439	37	16	the	the	DET
brj-22439	37	17	modified	modify	VERB
brj-22439	37	18	ssd	ssd	NOUN
brj-22439	37	19	framework	framework	NOUN
brj-22439	37	20	to	to	PART
brj-22439	37	21	detect	detect	VERB
brj-22439	37	22	wood	wood	NOUN
brj-22439	37	23	knots	knot	NOUN
brj-22439	37	24	,	,	PUNCT
brj-22439	37	25	dead	dead	ADJ
brj-22439	37	26	knots	knot	NOUN
brj-22439	37	27	,	,	PUNCT
brj-22439	37	28	and	and	CCONJ
brj-22439	37	29	check	check	VERB
brj-22439	37	30	for	for	ADP
brj-22439	37	31	defects	defect	NOUN
brj-22439	37	32	.	.	PUNCT
brj-22439	38	1	through	through	ADP
brj-22439	38	2	constructing	construct	VERB
brj-22439	38	3	a	a	DET
brj-22439	38	4	novel	novel	ADJ
brj-22439	38	5	cnnbased	cnnbase	VERB
brj-22439	38	6	architecture	architecture	NOUN
brj-22439	38	7	(	(	PUNCT
brj-22439	38	8	mix	mix	NOUN
brj-22439	38	9	-	-	PUNCT
brj-22439	38	10	fcn	fcn	NOUN
brj-22439	38	11	)	)	PUNCT
brj-22439	38	12	,	,	PUNCT
brj-22439	38	13	he	he	PRON
brj-22439	38	14	et	et	VERB
brj-22439	38	15	al	al	PROPN
brj-22439	38	16	.	.	PROPN
brj-22439	39	1	(	(	PUNCT
brj-22439	39	2	2019	2019	NUM
brj-22439	39	3	)	)	PUNCT
brj-22439	39	4	located	locate	VERB
brj-22439	39	5	wood	wood	NOUN
brj-22439	39	6	defects	defect	NOUN
brj-22439	39	7	and	and	CCONJ
brj-22439	39	8	identified	identify	VERB
brj-22439	39	9	their	their	PRON
brj-22439	39	10	types	type	NOUN
brj-22439	39	11	from	from	ADP
brj-22439	39	12	wood	wood	NOUN
brj-22439	39	13	surface	surface	NOUN
brj-22439	39	14	images	image	NOUN
brj-22439	39	15	.	.	PUNCT
brj-22439	40	1	all	all	DET
brj-22439	40	2	the	the	DET
brj-22439	40	3	above	above	ADV
brj-22439	40	4	-	-	PUNCT
brj-22439	40	5	mentioned	mention	VERB
brj-22439	40	6	authors	author	NOUN
brj-22439	40	7	claimed	claim	VERB
brj-22439	40	8	that	that	SCONJ
brj-22439	40	9	their	their	PRON
brj-22439	40	10	approaches	approach	NOUN
brj-22439	40	11	achieved	achieve	VERB
brj-22439	40	12	successful	successful	ADJ
brj-22439	40	13	applications	application	NOUN
brj-22439	40	14	.	.	PUNCT
brj-22439	41	1	the	the	DET
brj-22439	41	2	faster	fast	ADJ
brj-22439	41	3	r	r	NOUN
brj-22439	41	4	-	-	PUNCT
brj-22439	41	5	cnn	cnn	PROPN
brj-22439	41	6	model	model	NOUN
brj-22439	41	7	is	be	AUX
brj-22439	41	8	one	one	NUM
brj-22439	41	9	of	of	ADP
brj-22439	41	10	the	the	DET
brj-22439	41	11	most	most	ADV
brj-22439	41	12	popular	popular	ADJ
brj-22439	41	13	methods	method	NOUN
brj-22439	41	14	for	for	ADP
brj-22439	41	15	defect	defect	ADJ
brj-22439	41	16	detection	detection	NOUN
brj-22439	41	17	.	.	PUNCT
brj-22439	42	1	it	it	PRON
brj-22439	42	2	employs	employ	VERB
brj-22439	42	3	the	the	DET
brj-22439	42	4	region	region	NOUN
brj-22439	42	5	proposal	proposal	NOUN
brj-22439	42	6	network	network	NOUN
brj-22439	42	7	(	(	PUNCT
brj-22439	42	8	rpn	rpn	PROPN
brj-22439	42	9	)	)	PUNCT
brj-22439	42	10	method	method	NOUN
brj-22439	42	11	to	to	PART
brj-22439	42	12	identify	identify	VERB
brj-22439	42	13	a	a	DET
brj-22439	42	14	region	region	NOUN
brj-22439	42	15	of	of	ADP
brj-22439	42	16	interest	interest	NOUN
brj-22439	42	17	in	in	ADP
brj-22439	42	18	the	the	DET
brj-22439	42	19	image	image	NOUN
brj-22439	42	20	and	and	CCONJ
brj-22439	42	21	utilizes	utilize	VERB
brj-22439	42	22	a	a	DET
brj-22439	42	23	classifier	classifier	NOUN
brj-22439	42	24	to	to	PART
brj-22439	42	25	identify	identify	VERB
brj-22439	42	26	bounding	bounding	NOUN
brj-22439	42	27	boxes	box	NOUN
brj-22439	42	28	.	.	PUNCT
brj-22439	43	1	it	it	PRON
brj-22439	43	2	provides	provide	VERB
brj-22439	43	3	guidance	guidance	NOUN
brj-22439	43	4	for	for	ADP
brj-22439	43	5	medical	medical	ADJ
brj-22439	43	6	image	image	NOUN
brj-22439	43	7	analysis	analysis	NOUN
brj-22439	43	8	(	(	PUNCT
brj-22439	43	9	su	su	PROPN
brj-22439	43	10	et	et	PROPN
brj-22439	43	11	al	al	PROPN
brj-22439	43	12	.	.	PROPN
brj-22439	43	13	2021	2021	NUM
brj-22439	43	14	)	)	PUNCT
brj-22439	43	15	,	,	PUNCT
brj-22439	43	16	intelligent	intelligent	ADJ
brj-22439	43	17	transport	transport	NOUN
brj-22439	43	18	(	(	PUNCT
brj-22439	43	19	jiang	jiang	PROPN
brj-22439	43	20	and	and	CCONJ
brj-22439	43	21	shi	shi	PROPN
brj-22439	43	22	2021	2021	NUM
brj-22439	43	23	)	)	PUNCT
brj-22439	43	24	,	,	PUNCT
brj-22439	43	25	semantic	semantic	ADJ
brj-22439	43	26	segmentation	segmentation	NOUN
brj-22439	43	27	(	(	PUNCT
brj-22439	43	28	jiang	jiang	PROPN
brj-22439	43	29	et	et	PROPN
brj-22439	43	30	al	al	PROPN
brj-22439	43	31	.	.	PROPN
brj-22439	43	32	2021	2021	NUM
brj-22439	43	33	)	)	PUNCT
brj-22439	43	34	,	,	PUNCT
brj-22439	43	35	and	and	CCONJ
brj-22439	43	36	defect	defect	VERB
brj-22439	43	37	detection	detection	NOUN
brj-22439	43	38	(	(	PUNCT
brj-22439	43	39	chen	chen	PROPN
brj-22439	43	40	et	et	PROPN
brj-22439	43	41	al	al	PROPN
brj-22439	43	42	.	.	PROPN
brj-22439	43	43	2022	2022	NUM
brj-22439	43	44	)	)	PUNCT
brj-22439	43	45	.	.	PUNCT
brj-22439	44	1	faster	fast	ADV
brj-22439	44	2	r	r	X
brj-22439	44	3	-	-	PUNCT
brj-22439	44	4	cnn	cnn	PROPN
brj-22439	44	5	with	with	ADP
brj-22439	44	6	data	datum	NOUN
brj-22439	44	7	augmentation	augmentation	NOUN
brj-22439	44	8	and	and	CCONJ
brj-22439	44	9	transfer	transfer	NOUN
brj-22439	44	10	learning	learning	NOUN
brj-22439	44	11	strategies	strategy	NOUN
brj-22439	44	12	is	be	AUX
brj-22439	44	13	also	also	ADV
brj-22439	44	14	a	a	DET
brj-22439	44	15	state	state	NOUN
brj-22439	44	16	-	-	PUNCT
brj-22439	44	17	of	of	ADP
brj-22439	44	18	-	-	PUNCT
brj-22439	44	19	the	the	DET
brj-22439	44	20	-	-	PUNCT
brj-22439	44	21	art	art	NOUN
brj-22439	44	22	approach	approach	NOUN
brj-22439	44	23	for	for	ADP
brj-22439	44	24	timber	timber	NOUN
brj-22439	44	25	defect	defect	NOUN
brj-22439	44	26	detection	detection	NOUN
brj-22439	44	27	.	.	PUNCT
brj-22439	45	1	urbonas	urbonas	PROPN
brj-22439	45	2	et	et	PROPN
brj-22439	45	3	al	al	PROPN
brj-22439	45	4	.	.	PROPN
brj-22439	46	1	(	(	PUNCT
brj-22439	46	2	2019	2019	NUM
brj-22439	46	3	)	)	PUNCT
brj-22439	46	4	employed	employ	VERB
brj-22439	46	5	faster	fast	ADJ
brj-22439	46	6	r	r	NOUN
brj-22439	46	7	-	-	PUNCT
brj-22439	46	8	cnn	cnn	NOUN
brj-22439	46	9	to	to	PART
brj-22439	46	10	identify	identify	VERB
brj-22439	46	11	four	four	NUM
brj-22439	46	12	types	type	NOUN
brj-22439	46	13	of	of	ADP
brj-22439	46	14	defects	defect	NOUN
brj-22439	46	15	on	on	ADP
brj-22439	46	16	wood	wood	NOUN
brj-22439	46	17	veneer	veneer	NOUN
brj-22439	46	18	surfaces	surface	NOUN
brj-22439	46	19	.	.	PUNCT
brj-22439	47	1	the	the	DET
brj-22439	47	2	authors	author	NOUN
brj-22439	47	3	reported	report	VERB
brj-22439	47	4	that	that	SCONJ
brj-22439	47	5	the	the	DET
brj-22439	47	6	most	most	ADV
brj-22439	47	7	successful	successful	ADJ
brj-22439	47	8	model	model	NOUN
brj-22439	47	9	based	base	VERB
brj-22439	47	10	on	on	ADP
brj-22439	47	11	resnet152	resnet152	PROPN
brj-22439	47	12	achieved	achieve	VERB
brj-22439	47	13	an	an	DET
brj-22439	47	14	accuracy	accuracy	NOUN
brj-22439	47	15	of	of	ADP
brj-22439	47	16	96.1	96.1	NUM
brj-22439	47	17	%	%	NOUN
brj-22439	47	18	.	.	PUNCT
brj-22439	48	1	in	in	ADP
brj-22439	48	2	a	a	DET
brj-22439	48	3	previous	previous	ADJ
brj-22439	48	4	study	study	NOUN
brj-22439	48	5	,	,	PUNCT
brj-22439	48	6	the	the	DET
brj-22439	48	7	authors	author	NOUN
brj-22439	48	8	investigated	investigate	VERB
brj-22439	48	9	the	the	DET
brj-22439	48	10	application	application	NOUN
brj-22439	48	11	of	of	ADP
brj-22439	48	12	faster	fast	ADJ
brj-22439	48	13	r	r	NOUN
brj-22439	48	14	-	-	PUNCT
brj-22439	48	15	cnn	cnn	NOUN
brj-22439	48	16	to	to	PART
brj-22439	48	17	detect	detect	VERB
brj-22439	48	18	timber	timber	NOUN
brj-22439	48	19	knots	knot	NOUN
brj-22439	48	20	and	and	CCONJ
brj-22439	48	21	achieved	achieve	VERB
brj-22439	48	22	a	a	DET
brj-22439	48	23	high	high	ADJ
brj-22439	48	24	true	true	ADJ
brj-22439	48	25	-	-	PUNCT
brj-22439	48	26	positive	positive	ADJ
brj-22439	48	27	frequency	frequency	NOUN
brj-22439	48	28	(	(	PUNCT
brj-22439	48	29	fang	fang	X
brj-22439	48	30	et	et	PROPN
brj-22439	48	31	al	al	PROPN
brj-22439	48	32	.	.	PROPN
brj-22439	48	33	2021	2021	NUM
brj-22439	48	34	)	)	PUNCT
brj-22439	48	35	.	.	PUNCT
brj-22439	49	1	however	however	ADV
brj-22439	49	2	,	,	PUNCT
brj-22439	49	3	there	there	PRON
brj-22439	49	4	was	be	VERB
brj-22439	49	5	a	a	DET
brj-22439	49	6	problem	problem	NOUN
brj-22439	49	7	that	that	SCONJ
brj-22439	49	8	a	a	DET
brj-22439	49	9	small	small	ADJ
brj-22439	49	10	number	number	NOUN
brj-22439	49	11	of	of	ADP
brj-22439	49	12	knots	knot	NOUN
brj-22439	49	13	were	be	AUX
brj-22439	49	14	labelled	label	VERB
brj-22439	49	15	several	several	ADJ
brj-22439	49	16	times	time	NOUN
brj-22439	49	17	,	,	PUNCT
brj-22439	49	18	resulting	result	VERB
brj-22439	49	19	in	in	ADP
brj-22439	49	20	the	the	DET
brj-22439	49	21	increase	increase	NOUN
brj-22439	49	22	of	of	ADP
brj-22439	49	23	the	the	DET
brj-22439	49	24	false	false	ADJ
brj-22439	49	25	positive	positive	ADJ
brj-22439	49	26	results	result	NOUN
brj-22439	49	27	(	(	PUNCT
brj-22439	49	28	fang	fang	X
brj-22439	49	29	et	et	PROPN
brj-22439	49	30	al	al	PROPN
brj-22439	49	31	.	.	PROPN
brj-22439	49	32	2021	2021	NUM
brj-22439	49	33	)	)	PUNCT
brj-22439	49	34	.	.	PUNCT
brj-22439	50	1	in	in	ADP
brj-22439	50	2	fact	fact	NOUN
brj-22439	50	3	,	,	PUNCT
brj-22439	50	4	similar	similar	ADJ
brj-22439	50	5	problems	problem	NOUN
brj-22439	50	6	have	have	AUX
brj-22439	50	7	been	be	AUX
brj-22439	50	8	reported	report	VERB
brj-22439	50	9	by	by	ADP
brj-22439	50	10	many	many	ADJ
brj-22439	50	11	researchers	researcher	NOUN
brj-22439	50	12	in	in	ADP
brj-22439	50	13	the	the	DET
brj-22439	50	14	literature	literature	NOUN
brj-22439	50	15	(	(	PUNCT
brj-22439	50	16	nguyen	nguyen	NOUN
brj-22439	50	17	et	et	PROPN
brj-22439	50	18	al	al	PROPN
brj-22439	50	19	.	.	PROPN
brj-22439	50	20	2021	2021	NUM
brj-22439	50	21	;	;	PUNCT
brj-22439	50	22	trier	tri	ADJ
brj-22439	50	23	et	et	PROPN
brj-22439	50	24	al	al	PROPN
brj-22439	50	25	.	.	PROPN
brj-22439	50	26	2021	2021	NUM
brj-22439	50	27	;	;	PUNCT
brj-22439	50	28	tu	tu	PROPN
brj-22439	50	29	et	et	PROPN
brj-22439	50	30	al	al	PROPN
brj-22439	50	31	.	.	PROPN
brj-22439	50	32	2021	2021	NUM
brj-22439	50	33	)	)	PUNCT
brj-22439	50	34	.	.	PUNCT
brj-22439	51	1	the	the	DET
brj-22439	51	2	number	number	NOUN
brj-22439	51	3	of	of	ADP
brj-22439	51	4	surface	surface	NOUN
brj-22439	51	5	knots	knot	NOUN
brj-22439	51	6	is	be	AUX
brj-22439	51	7	an	an	DET
brj-22439	51	8	important	important	ADJ
brj-22439	51	9	factor	factor	NOUN
brj-22439	51	10	for	for	ADP
brj-22439	51	11	predicting	predict	VERB
brj-22439	51	12	the	the	DET
brj-22439	51	13	timber	timber	NOUN
brj-22439	51	14	grade	grade	NOUN
brj-22439	51	15	in	in	ADP
brj-22439	51	16	automatic	automatic	ADJ
brj-22439	51	17	wood	wood	NOUN
brj-22439	51	18	grading	grading	NOUN
brj-22439	51	19	.	.	PUNCT
brj-22439	52	1	if	if	SCONJ
brj-22439	52	2	a	a	DET
brj-22439	52	3	knot	knot	NOUN
brj-22439	52	4	is	be	AUX
brj-22439	52	5	identified	identify	VERB
brj-22439	52	6	several	several	ADJ
brj-22439	52	7	times	time	NOUN
brj-22439	52	8	,	,	PUNCT
brj-22439	52	9	it	it	PRON
brj-22439	52	10	reduces	reduce	VERB
brj-22439	52	11	the	the	DET
brj-22439	52	12	timber	timber	NOUN
brj-22439	52	13	grade	grade	NOUN
brj-22439	52	14	and	and	CCONJ
brj-22439	52	15	consequently	consequently	ADV
brj-22439	52	16	its	its	PRON
brj-22439	52	17	commercial	commercial	ADJ
brj-22439	52	18	value	value	NOUN
brj-22439	52	19	.	.	PUNCT
brj-22439	53	1	therefore	therefore	ADV
brj-22439	53	2	,	,	PUNCT
brj-22439	53	3	there	there	PRON
brj-22439	53	4	is	be	VERB
brj-22439	53	5	an	an	DET
brj-22439	53	6	urgent	urgent	ADJ
brj-22439	53	7	need	need	NOUN
brj-22439	53	8	to	to	PART
brj-22439	53	9	address	address	VERB
brj-22439	53	10	this	this	DET
brj-22439	53	11	issue	issue	NOUN
brj-22439	53	12	.	.	PUNCT
brj-22439	54	1	nguyen	nguyen	PROPN
brj-22439	54	2	et	et	PROPN
brj-22439	54	3	al	al	PROPN
brj-22439	54	4	.	.	PROPN
brj-22439	55	1	(	(	PUNCT
brj-22439	55	2	2021	2021	NUM
brj-22439	55	3	)	)	PUNCT
brj-22439	55	4	proposed	propose	VERB
brj-22439	55	5	a	a	DET
brj-22439	55	6	resnet	resnet	NOUN
brj-22439	55	7	model	model	NOUN
brj-22439	55	8	to	to	PART
brj-22439	55	9	improve	improve	VERB
brj-22439	55	10	the	the	DET
brj-22439	55	11	performance	performance	NOUN
brj-22439	55	12	of	of	ADP
brj-22439	55	13	faster	fast	ADJ
brj-22439	55	14	r	r	NOUN
brj-22439	55	15	-	-	PUNCT
brj-22439	55	16	cnn	cnn	NOUN
brj-22439	55	17	by	by	ADP
brj-22439	55	18	reducing	reduce	VERB
brj-22439	55	19	the	the	DET
brj-22439	55	20	false	false	ADJ
brj-22439	55	21	positive	positive	ADJ
brj-22439	55	22	frequency	frequency	NOUN
brj-22439	55	23	.	.	PUNCT
brj-22439	56	1	in	in	ADP
brj-22439	56	2	another	another	DET
brj-22439	56	3	investigation	investigation	NOUN
brj-22439	56	4	,	,	PUNCT
brj-22439	56	5	an	an	DET
brj-22439	56	6	image	image	NOUN
brj-22439	56	7	classification	classification	NOUN
brj-22439	56	8	network	network	NOUN
brj-22439	56	9	was	be	AUX
brj-22439	56	10	peer	peer	NOUN
brj-22439	56	11	-	-	PUNCT
brj-22439	56	12	reviewed	review	VERB
brj-22439	56	13	article	article	NOUN
brj-22439	56	14	bioresources.com	bioresources.com	X
brj-22439	56	15	chen	chen	PROPN
brj-22439	56	16	et	et	PROPN
brj-22439	56	17	al	al	PROPN
brj-22439	56	18	.	.	PROPN
brj-22439	57	1	(	(	PUNCT
brj-22439	57	2	2023	2023	NUM
brj-22439	57	3	)	)	PUNCT
brj-22439	57	4	.	.	PUNCT
brj-22439	58	1	“	"	PUNCT
brj-22439	58	2	timber	timber	NOUN
brj-22439	58	3	knot	knot	NOUN
brj-22439	58	4	detector	detector	NOUN
brj-22439	58	5	with	with	ADP
brj-22439	58	6	r	r	NOUN
brj-22439	58	7	-	-	PUNCT
brj-22439	58	8	cnn	cnn	PROPN
brj-22439	58	9	,	,	PUNCT
brj-22439	58	10	”	"	PUNCT
brj-22439	58	11	bioresources	bioresource	NOUN
brj-22439	58	12	18(3	18(3	NUM
brj-22439	58	13	)	)	PUNCT
brj-22439	58	14	,	,	PUNCT
brj-22439	58	15	4964	4964	NUM
brj-22439	58	16	-	-	SYM
brj-22439	58	17	4976	4976	NUM
brj-22439	58	18	.	.	PUNCT
brj-22439	59	1	4966	4966	NUM
brj-22439	59	2	integrated	integrate	VERB
brj-22439	59	3	into	into	ADP
brj-22439	59	4	the	the	DET
brj-22439	59	5	probabilistic	probabilistic	ADJ
brj-22439	59	6	faster	fast	ADJ
brj-22439	59	7	r	r	NOUN
brj-22439	59	8	-	-	PUNCT
brj-22439	59	9	cnn	cnn	NOUN
brj-22439	59	10	to	to	PART
brj-22439	59	11	lower	lower	VERB
brj-22439	59	12	the	the	DET
brj-22439	59	13	false	false	ADJ
brj-22439	59	14	positive	positive	ADJ
brj-22439	59	15	results	result	NOUN
brj-22439	59	16	at	at	ADP
brj-22439	59	17	the	the	DET
brj-22439	59	18	object	object	NOUN
brj-22439	59	19	level	level	NOUN
brj-22439	59	20	(	(	PUNCT
brj-22439	59	21	yi	yi	NOUN
brj-22439	59	22	et	et	PROPN
brj-22439	59	23	al	al	PROPN
brj-22439	59	24	.	.	PROPN
brj-22439	59	25	2021	2021	NUM
brj-22439	59	26	)	)	PUNCT
brj-22439	59	27	.	.	PUNCT
brj-22439	60	1	it	it	PRON
brj-22439	60	2	may	may	AUX
brj-22439	60	3	seem	seem	VERB
brj-22439	60	4	that	that	SCONJ
brj-22439	60	5	all	all	DET
brj-22439	60	6	the	the	DET
brj-22439	60	7	listed	list	VERB
brj-22439	60	8	studies	study	NOUN
brj-22439	60	9	achieved	achieve	VERB
brj-22439	60	10	good	good	ADJ
brj-22439	60	11	results	result	NOUN
brj-22439	60	12	.	.	PUNCT
brj-22439	61	1	however	however	ADV
brj-22439	61	2	,	,	PUNCT
brj-22439	61	3	they	they	PRON
brj-22439	61	4	were	be	AUX
brj-22439	61	5	not	not	PART
brj-22439	61	6	able	able	ADJ
brj-22439	61	7	to	to	PART
brj-22439	61	8	strike	strike	VERB
brj-22439	61	9	a	a	DET
brj-22439	61	10	good	good	ADJ
brj-22439	61	11	balance	balance	NOUN
brj-22439	61	12	between	between	ADP
brj-22439	61	13	detection	detection	NOUN
brj-22439	61	14	speed	speed	NOUN
brj-22439	61	15	and	and	CCONJ
brj-22439	61	16	accuracy	accuracy	NOUN
brj-22439	61	17	.	.	PUNCT
brj-22439	62	1	some	some	DET
brj-22439	62	2	algorithms	algorithm	NOUN
brj-22439	62	3	require	require	VERB
brj-22439	62	4	much	much	ADV
brj-22439	62	5	more	more	ADJ
brj-22439	62	6	computation	computation	NOUN
brj-22439	62	7	than	than	ADP
brj-22439	62	8	the	the	DET
brj-22439	62	9	non	non	ADJ
brj-22439	62	10	-	-	ADJ
brj-22439	62	11	maximum	maximum	ADJ
brj-22439	62	12	suppression	suppression	NOUN
brj-22439	62	13	(	(	PUNCT
brj-22439	62	14	nms	nms	NOUN
brj-22439	62	15	)	)	PUNCT
brj-22439	62	16	algorithm	algorithm	NOUN
brj-22439	62	17	that	that	PRON
brj-22439	62	18	is	be	AUX
brj-22439	62	19	used	use	VERB
brj-22439	62	20	in	in	ADP
brj-22439	62	21	the	the	DET
brj-22439	62	22	standard	standard	NOUN
brj-22439	62	23	faster	fast	ADJ
brj-22439	62	24	r	r	NOUN
brj-22439	62	25	-	-	PUNCT
brj-22439	62	26	cnn	cnn	NOUN
brj-22439	62	27	to	to	PART
brj-22439	62	28	remove	remove	VERB
brj-22439	62	29	the	the	DET
brj-22439	62	30	overlapping	overlap	VERB
brj-22439	62	31	bounding	bounding	NOUN
brj-22439	62	32	boxes	box	NOUN
brj-22439	62	33	.	.	PUNCT
brj-22439	63	1	in	in	ADP
brj-22439	63	2	this	this	DET
brj-22439	63	3	study	study	NOUN
brj-22439	63	4	,	,	PUNCT
brj-22439	63	5	the	the	DET
brj-22439	63	6	spatial	spatial	ADJ
brj-22439	63	7	distribution	distribution	NOUN
brj-22439	63	8	characteristics	characteristic	NOUN
brj-22439	63	9	of	of	ADP
brj-22439	63	10	timber	timber	NOUN
brj-22439	63	11	knots	knot	NOUN
brj-22439	63	12	were	be	AUX
brj-22439	63	13	analyzed	analyze	VERB
brj-22439	63	14	,	,	PUNCT
brj-22439	63	15	and	and	CCONJ
brj-22439	63	16	a	a	DET
brj-22439	63	17	simple	simple	ADJ
brj-22439	63	18	algorithm	algorithm	NOUN
brj-22439	63	19	was	be	AUX
brj-22439	63	20	proposed	propose	VERB
brj-22439	63	21	to	to	PART
brj-22439	63	22	reduce	reduce	VERB
brj-22439	63	23	false	false	ADJ
brj-22439	63	24	positives	positive	NOUN
brj-22439	63	25	in	in	ADP
brj-22439	63	26	the	the	DET
brj-22439	63	27	application	application	NOUN
brj-22439	63	28	of	of	ADP
brj-22439	63	29	faster	fast	ADJ
brj-22439	63	30	r	r	NOUN
brj-22439	63	31	-	-	PUNCT
brj-22439	63	32	cnn	cnn	NOUN
brj-22439	63	33	when	when	SCONJ
brj-22439	63	34	detecting	detect	VERB
brj-22439	63	35	timber	timber	NOUN
brj-22439	63	36	knots	knot	NOUN
brj-22439	63	37	.	.	PUNCT
brj-22439	64	1	the	the	DET
brj-22439	64	2	main	main	ADJ
brj-22439	64	3	advantage	advantage	NOUN
brj-22439	64	4	of	of	ADP
brj-22439	64	5	this	this	DET
brj-22439	64	6	algorithm	algorithm	NOUN
brj-22439	64	7	is	be	AUX
brj-22439	64	8	that	that	SCONJ
brj-22439	64	9	it	it	PRON
brj-22439	64	10	can	can	AUX
brj-22439	64	11	remove	remove	VERB
brj-22439	64	12	repeated	repeat	VERB
brj-22439	64	13	bounding	bounding	NOUN
brj-22439	64	14	boxes	box	NOUN
brj-22439	64	15	at	at	ADP
brj-22439	64	16	a	a	DET
brj-22439	64	17	small	small	ADJ
brj-22439	64	18	computational	computational	ADJ
brj-22439	64	19	cost	cost	NOUN
brj-22439	64	20	and	and	CCONJ
brj-22439	64	21	it	it	PRON
brj-22439	64	22	significantly	significantly	ADV
brj-22439	64	23	improves	improve	VERB
brj-22439	64	24	detection	detection	NOUN
brj-22439	64	25	accuracy	accuracy	NOUN
brj-22439	64	26	.	.	PUNCT
brj-22439	65	1	experimental	experimental	ADJ
brj-22439	65	2	materials	material	NOUN
brj-22439	65	3	a	a	DET
brj-22439	65	4	dataset	dataset	NOUN
brj-22439	65	5	containing	contain	VERB
brj-22439	65	6	305	305	NUM
brj-22439	65	7	timber	timber	NOUN
brj-22439	65	8	images	image	NOUN
brj-22439	65	9	with	with	ADP
brj-22439	65	10	sizes	size	NOUN
brj-22439	65	11	ranging	range	VERB
brj-22439	65	12	from	from	ADP
brj-22439	65	13	70	70	NUM
brj-22439	65	14	kb	kb	PROPN
brj-22439	65	15	to	to	ADP
brj-22439	65	16	3354	3354	NUM
brj-22439	65	17	kb	kb	PROPN
brj-22439	65	18	was	be	AUX
brj-22439	65	19	used	use	VERB
brj-22439	65	20	in	in	ADP
brj-22439	65	21	this	this	DET
brj-22439	65	22	study	study	NOUN
brj-22439	65	23	.	.	PUNCT
brj-22439	66	1	the	the	DET
brj-22439	66	2	images	image	NOUN
brj-22439	66	3	were	be	AUX
brj-22439	66	4	collected	collect	VERB
brj-22439	66	5	from	from	ADP
brj-22439	66	6	sawn	sawn	NOUN
brj-22439	66	7	timber	timber	NOUN
brj-22439	66	8	with	with	ADP
brj-22439	66	9	sanded	sand	VERB
brj-22439	66	10	surfaces	surface	NOUN
brj-22439	66	11	purchased	purchase	VERB
brj-22439	66	12	from	from	ADP
brj-22439	66	13	a	a	DET
brj-22439	66	14	local	local	ADJ
brj-22439	66	15	sawmill	sawmill	NOUN
brj-22439	66	16	.	.	PUNCT
brj-22439	67	1	the	the	DET
brj-22439	67	2	species	specie	NOUN
brj-22439	67	3	of	of	ADP
brj-22439	67	4	some	some	DET
brj-22439	67	5	timbers	timber	NOUN
brj-22439	67	6	was	be	AUX
brj-22439	67	7	metasequoia	metasequoia	PROPN
brj-22439	67	8	glyptostroboides	glyptostroboide	NOUN
brj-22439	67	9	,	,	PUNCT
brj-22439	67	10	and	and	CCONJ
brj-22439	67	11	the	the	DET
brj-22439	67	12	other	other	ADJ
brj-22439	67	13	species	specie	NOUN
brj-22439	67	14	was	be	AUX
brj-22439	67	15	pinus	pinus	NOUN
brj-22439	67	16	koraiensis	koraiensis	NOUN
brj-22439	67	17	.	.	PUNCT
brj-22439	68	1	both	both	PRON
brj-22439	68	2	are	be	AUX
brj-22439	68	3	common	common	ADJ
brj-22439	68	4	and	and	CCONJ
brj-22439	68	5	are	be	AUX
brj-22439	68	6	widely	widely	ADV
brj-22439	68	7	used	use	VERB
brj-22439	68	8	in	in	ADP
brj-22439	68	9	china	china	PROPN
brj-22439	68	10	.	.	PUNCT
brj-22439	69	1	figure	figure	NOUN
brj-22439	69	2	1	1	NUM
brj-22439	69	3	illustrates	illustrate	VERB
brj-22439	69	4	some	some	DET
brj-22439	69	5	typical	typical	ADJ
brj-22439	69	6	timber	timber	NOUN
brj-22439	69	7	images	image	NOUN
brj-22439	69	8	.	.	PUNCT
brj-22439	70	1	fig	fig	NOUN
brj-22439	70	2	.	.	PUNCT
brj-22439	71	1	1	1	X
brj-22439	71	2	.	.	X
brj-22439	72	1	some	some	DET
brj-22439	72	2	typical	typical	ADJ
brj-22439	72	3	images	image	NOUN
brj-22439	72	4	in	in	ADP
brj-22439	72	5	the	the	DET
brj-22439	72	6	image	image	NOUN
brj-22439	72	7	dataset	dataset	VERB
brj-22439	72	8	generally	generally	ADV
brj-22439	72	9	,	,	PUNCT
brj-22439	72	10	timbers	timber	NOUN
brj-22439	72	11	of	of	ADP
brj-22439	72	12	different	different	ADJ
brj-22439	72	13	species	specie	NOUN
brj-22439	72	14	show	show	VERB
brj-22439	72	15	various	various	ADJ
brj-22439	72	16	texture	texture	NOUN
brj-22439	72	17	and	and	CCONJ
brj-22439	72	18	color	color	NOUN
brj-22439	72	19	,	,	PUNCT
brj-22439	72	20	which	which	PRON
brj-22439	72	21	poses	pose	VERB
brj-22439	72	22	a	a	DET
brj-22439	72	23	challenge	challenge	NOUN
brj-22439	72	24	for	for	ADP
brj-22439	72	25	knot	knot	ADJ
brj-22439	72	26	identification	identification	NOUN
brj-22439	72	27	.	.	PUNCT
brj-22439	73	1	a	a	DET
brj-22439	73	2	good	good	ADJ
brj-22439	73	3	knot	knot	NOUN
brj-22439	73	4	identification	identification	NOUN
brj-22439	73	5	method	method	NOUN
brj-22439	73	6	should	should	AUX
brj-22439	73	7	not	not	PART
brj-22439	73	8	be	be	AUX
brj-22439	73	9	influenced	influence	VERB
brj-22439	73	10	by	by	ADP
brj-22439	73	11	the	the	DET
brj-22439	73	12	issue	issue	NOUN
brj-22439	73	13	of	of	ADP
brj-22439	73	14	species	specie	NOUN
brj-22439	73	15	.	.	PUNCT
brj-22439	74	1	in	in	ADP
brj-22439	74	2	the	the	DET
brj-22439	74	3	present	present	ADJ
brj-22439	74	4	work	work	NOUN
brj-22439	74	5	,	,	PUNCT
brj-22439	74	6	like	like	ADP
brj-22439	74	7	many	many	ADJ
brj-22439	74	8	other	other	ADJ
brj-22439	74	9	studies	study	NOUN
brj-22439	74	10	(	(	PUNCT
brj-22439	74	11	hu	hu	PROPN
brj-22439	74	12	et	et	PROPN
brj-22439	74	13	al	al	PROPN
brj-22439	74	14	.	.	PROPN
brj-22439	74	15	2020	2020	NUM
brj-22439	74	16	;	;	PUNCT
brj-22439	74	17	liu	liu	PROPN
brj-22439	74	18	et	et	PROPN
brj-22439	74	19	al	al	PROPN
brj-22439	74	20	.	.	PROPN
brj-22439	74	21	2020	2020	NUM
brj-22439	74	22	;	;	PUNCT
brj-22439	74	23	fang	fang	X
brj-22439	74	24	et	et	PROPN
brj-22439	74	25	al	al	PROPN
brj-22439	74	26	.	.	PROPN
brj-22439	74	27	2021	2021	NUM
brj-22439	74	28	)	)	PUNCT
brj-22439	74	29	,	,	PUNCT
brj-22439	74	30	the	the	DET
brj-22439	74	31	timbers	timber	NOUN
brj-22439	74	32	were	be	AUX
brj-22439	74	33	not	not	PART
brj-22439	74	34	divided	divide	VERB
brj-22439	74	35	into	into	ADP
brj-22439	74	36	different	different	ADJ
brj-22439	74	37	classes	class	NOUN
brj-22439	74	38	in	in	ADP
brj-22439	74	39	terms	term	NOUN
brj-22439	74	40	of	of	ADP
brj-22439	74	41	species	specie	NOUN
brj-22439	74	42	.	.	PUNCT
brj-22439	75	1	first	first	ADV
brj-22439	75	2	,	,	PUNCT
brj-22439	75	3	adobe	adobe	PROPN
brj-22439	75	4	photoshop	photoshop	PROPN
brj-22439	75	5	software	software	PROPN
brj-22439	75	6	(	(	PUNCT
brj-22439	75	7	san	san	PROPN
brj-22439	75	8	jose	jose	PROPN
brj-22439	75	9	,	,	PUNCT
brj-22439	75	10	ca	ca	PROPN
brj-22439	75	11	,	,	PUNCT
brj-22439	75	12	usa	usa	PROPN
brj-22439	75	13	)	)	PUNCT
brj-22439	75	14	was	be	AUX
brj-22439	75	15	used	use	VERB
brj-22439	75	16	to	to	PART
brj-22439	75	17	process	process	VERB
brj-22439	75	18	the	the	DET
brj-22439	75	19	raw	raw	ADJ
brj-22439	75	20	images	image	NOUN
brj-22439	75	21	to	to	PART
brj-22439	75	22	ensure	ensure	VERB
brj-22439	75	23	that	that	SCONJ
brj-22439	75	24	each	each	DET
brj-22439	75	25	image	image	NOUN
brj-22439	75	26	contained	contain	VERB
brj-22439	75	27	at	at	ADP
brj-22439	75	28	least	least	ADJ
brj-22439	75	29	one	one	NUM
brj-22439	75	30	knot	knot	NOUN
brj-22439	75	31	.	.	PUNCT
brj-22439	76	1	experienced	experienced	ADJ
brj-22439	76	2	inspectors	inspector	NOUN
brj-22439	76	3	then	then	ADV
brj-22439	76	4	annotated	annotate	VERB
brj-22439	76	5	all	all	DET
brj-22439	76	6	the	the	DET
brj-22439	76	7	images	image	NOUN
brj-22439	76	8	using	use	VERB
brj-22439	76	9	the	the	DET
brj-22439	76	10	open	open	ADJ
brj-22439	76	11	-	-	PUNCT
brj-22439	76	12	source	source	NOUN
brj-22439	76	13	software	software	NOUN
brj-22439	76	14	labelimg	labelimg	NOUN
brj-22439	76	15	(	(	PUNCT
brj-22439	76	16	https://github.com/tzu	https://github.com/tzu	NOUN
brj-22439	76	17	peer	peer	NOUN
brj-22439	76	18	-	-	PUNCT
brj-22439	76	19	reviewed	review	VERB
brj-22439	76	20	article	article	NOUN
brj-22439	76	21	bioresources.com	bioresources.com	X
brj-22439	76	22	chen	chen	PROPN
brj-22439	76	23	et	et	PROPN
brj-22439	76	24	al	al	PROPN
brj-22439	76	25	.	.	PROPN
brj-22439	76	26	(	(	PUNCT
brj-22439	76	27	2023	2023	NUM
brj-22439	76	28	)	)	PUNCT
brj-22439	76	29	.	.	PUNCT
brj-22439	77	1	“	"	PUNCT
brj-22439	77	2	timber	timber	NOUN
brj-22439	77	3	knot	knot	NOUN
brj-22439	77	4	detector	detector	NOUN
brj-22439	77	5	with	with	ADP
brj-22439	77	6	r	r	NOUN
brj-22439	77	7	-	-	PUNCT
brj-22439	77	8	cnn	cnn	PROPN
brj-22439	77	9	,	,	PUNCT
brj-22439	77	10	”	"	PUNCT
brj-22439	77	11	bioresources	bioresource	NOUN
brj-22439	77	12	18(3	18(3	NUM
brj-22439	77	13	)	)	PUNCT
brj-22439	77	14	,	,	PUNCT
brj-22439	77	15	4964	4964	NUM
brj-22439	77	16	-	-	SYM
brj-22439	77	17	4976	4976	NUM
brj-22439	77	18	.	.	PUNCT
brj-22439	78	1	4967	4967	NUM
brj-22439	78	2	talin	talin	NOUN
brj-22439	78	3	/	/	SYM
brj-22439	78	4	labelimg	labelimg	NOUN
brj-22439	78	5	)	)	PUNCT
brj-22439	78	6	.	.	PUNCT
brj-22439	79	1	all	all	DET
brj-22439	79	2	the	the	DET
brj-22439	79	3	knots	knot	NOUN
brj-22439	79	4	are	be	AUX
brj-22439	79	5	labelled	label	VERB
brj-22439	79	6	with	with	ADP
brj-22439	79	7	red	red	ADJ
brj-22439	79	8	rectangular	rectangular	ADJ
brj-22439	79	9	boxes	box	NOUN
brj-22439	79	10	.	.	PUNCT
brj-22439	80	1	the	the	DET
brj-22439	80	2	annotation	annotation	NOUN
brj-22439	80	3	results	result	NOUN
brj-22439	80	4	are	be	AUX
brj-22439	80	5	also	also	ADV
brj-22439	80	6	depicted	depict	VERB
brj-22439	80	7	in	in	ADP
brj-22439	80	8	fig	fig	NOUN
brj-22439	80	9	.	.	PUNCT
brj-22439	81	1	1	1	X
brj-22439	81	2	.	.	PUNCT
brj-22439	81	3	finally	finally	ADV
brj-22439	81	4	,	,	PUNCT
brj-22439	81	5	annotations	annotation	NOUN
brj-22439	81	6	were	be	AUX
brj-22439	81	7	saved	save	VERB
brj-22439	81	8	as	as	ADP
brj-22439	81	9	xml	xml	NOUN
brj-22439	81	10	files	file	NOUN
brj-22439	81	11	in	in	ADP
brj-22439	81	12	the	the	DET
brj-22439	81	13	pascal	pascal	ADJ
brj-22439	81	14	voc	voc	NOUN
brj-22439	81	15	format	format	NOUN
brj-22439	81	16	.	.	PUNCT
brj-22439	82	1	architecture	architecture	NOUN
brj-22439	82	2	of	of	ADP
brj-22439	82	3	the	the	DET
brj-22439	82	4	method	method	NOUN
brj-22439	82	5	when	when	SCONJ
brj-22439	82	6	a	a	DET
brj-22439	82	7	tree	tree	NOUN
brj-22439	82	8	continues	continue	VERB
brj-22439	82	9	to	to	PART
brj-22439	82	10	grow	grow	VERB
brj-22439	82	11	normally	normally	ADV
brj-22439	82	12	,	,	PUNCT
brj-22439	82	13	the	the	DET
brj-22439	82	14	crown	crown	NOUN
brj-22439	82	15	usually	usually	ADV
brj-22439	82	16	shades	shade	VERB
brj-22439	82	17	the	the	DET
brj-22439	82	18	older	old	ADJ
brj-22439	82	19	and	and	CCONJ
brj-22439	82	20	lower	low	ADJ
brj-22439	82	21	branches	branch	NOUN
brj-22439	82	22	,	,	PUNCT
brj-22439	82	23	which	which	PRON
brj-22439	82	24	tend	tend	VERB
brj-22439	82	25	to	to	PART
brj-22439	82	26	die	die	VERB
brj-22439	82	27	off	off	ADP
brj-22439	82	28	and	and	CCONJ
brj-22439	82	29	are	be	AUX
brj-22439	82	30	overtaken	overtake	VERB
brj-22439	82	31	by	by	ADP
brj-22439	82	32	the	the	DET
brj-22439	82	33	increasing	increase	VERB
brj-22439	82	34	girth	girth	NOUN
brj-22439	82	35	of	of	ADP
brj-22439	82	36	the	the	DET
brj-22439	82	37	trunk	trunk	NOUN
brj-22439	82	38	.	.	PUNCT
brj-22439	83	1	knots	knot	NOUN
brj-22439	83	2	then	then	ADV
brj-22439	83	3	emerge	emerge	VERB
brj-22439	83	4	around	around	ADP
brj-22439	83	5	these	these	DET
brj-22439	83	6	branches	branch	NOUN
brj-22439	83	7	.	.	PUNCT
brj-22439	84	1	in	in	ADP
brj-22439	84	2	other	other	ADJ
brj-22439	84	3	words	word	NOUN
brj-22439	84	4	,	,	PUNCT
brj-22439	84	5	knots	knot	NOUN
brj-22439	84	6	are	be	AUX
brj-22439	84	7	wood	wood	NOUN
brj-22439	84	8	found	find	VERB
brj-22439	84	9	inside	inside	ADP
brj-22439	84	10	the	the	DET
brj-22439	84	11	branches	branch	NOUN
brj-22439	84	12	growing	grow	VERB
brj-22439	84	13	out	out	ADP
brj-22439	84	14	of	of	ADP
brj-22439	84	15	the	the	DET
brj-22439	84	16	tree	tree	NOUN
brj-22439	84	17	trunk	trunk	NOUN
brj-22439	84	18	.	.	PUNCT
brj-22439	85	1	because	because	SCONJ
brj-22439	85	2	only	only	ADV
brj-22439	85	3	one	one	NUM
brj-22439	85	4	branch	branch	NOUN
brj-22439	85	5	can	can	AUX
brj-22439	85	6	grow	grow	VERB
brj-22439	85	7	at	at	ADP
brj-22439	85	8	any	any	DET
brj-22439	85	9	specific	specific	ADJ
brj-22439	85	10	position	position	NOUN
brj-22439	85	11	on	on	ADP
brj-22439	85	12	the	the	DET
brj-22439	85	13	trunk	trunk	NOUN
brj-22439	85	14	,	,	PUNCT
brj-22439	85	15	there	there	PRON
brj-22439	85	16	are	be	VERB
brj-22439	85	17	usually	usually	ADV
brj-22439	85	18	no	no	DET
brj-22439	85	19	overlapping	overlap	VERB
brj-22439	85	20	knots	knot	NOUN
brj-22439	85	21	appearing	appear	VERB
brj-22439	85	22	on	on	ADP
brj-22439	85	23	the	the	DET
brj-22439	85	24	timber	timber	NOUN
brj-22439	85	25	images	image	NOUN
brj-22439	85	26	.	.	PUNCT
brj-22439	86	1	motivated	motivate	VERB
brj-22439	86	2	by	by	ADP
brj-22439	86	3	this	this	PRON
brj-22439	86	4	,	,	PUNCT
brj-22439	86	5	the	the	DET
brj-22439	86	6	authors	author	NOUN
brj-22439	86	7	proposed	propose	VERB
brj-22439	86	8	a	a	DET
brj-22439	86	9	simple	simple	ADJ
brj-22439	86	10	framework	framework	NOUN
brj-22439	86	11	,	,	PUNCT
brj-22439	86	12	as	as	SCONJ
brj-22439	86	13	illustrated	illustrate	VERB
brj-22439	86	14	in	in	ADP
brj-22439	86	15	fig	fig	NOUN
brj-22439	86	16	.	.	PUNCT
brj-22439	87	1	2	2	NUM
brj-22439	87	2	,	,	PUNCT
brj-22439	87	3	to	to	PART
brj-22439	87	4	reduce	reduce	VERB
brj-22439	87	5	false	false	ADJ
brj-22439	87	6	positives	positive	NOUN
brj-22439	87	7	and	and	CCONJ
brj-22439	87	8	improve	improve	VERB
brj-22439	87	9	precision	precision	NOUN
brj-22439	87	10	in	in	ADP
brj-22439	87	11	detecting	detect	VERB
brj-22439	87	12	knots	knot	NOUN
brj-22439	87	13	on	on	ADP
brj-22439	87	14	timber	timber	NOUN
brj-22439	87	15	images	image	NOUN
brj-22439	87	16	.	.	PUNCT
brj-22439	88	1	it	it	PRON
brj-22439	88	2	consists	consist	VERB
brj-22439	88	3	of	of	ADP
brj-22439	88	4	two	two	NUM
brj-22439	88	5	main	main	ADJ
brj-22439	88	6	parts	part	NOUN
brj-22439	88	7	:	:	PUNCT
brj-22439	88	8	the	the	DET
brj-22439	88	9	first	first	ADJ
brj-22439	88	10	is	be	AUX
brj-22439	88	11	faster	fast	ADJ
brj-22439	88	12	r	r	NOUN
brj-22439	88	13	-	-	PUNCT
brj-22439	88	14	cnn	cnn	PROPN
brj-22439	88	15	,	,	PUNCT
brj-22439	88	16	which	which	PRON
brj-22439	88	17	identifies	identify	VERB
brj-22439	88	18	the	the	DET
brj-22439	88	19	knots	knot	NOUN
brj-22439	88	20	and	and	CCONJ
brj-22439	88	21	labels	label	VERB
brj-22439	88	22	them	they	PRON
brj-22439	88	23	with	with	ADP
brj-22439	88	24	bounding	bounding	NOUN
brj-22439	88	25	boxes	box	NOUN
brj-22439	88	26	,	,	PUNCT
brj-22439	88	27	and	and	CCONJ
brj-22439	88	28	the	the	DET
brj-22439	88	29	second	second	NOUN
brj-22439	88	30	is	be	AUX
brj-22439	88	31	a	a	DET
brj-22439	88	32	bounding	bounding	NOUN
brj-22439	88	33	box	box	NOUN
brj-22439	88	34	filter	filter	NOUN
brj-22439	88	35	that	that	PRON
brj-22439	88	36	reduces	reduce	VERB
brj-22439	88	37	the	the	DET
brj-22439	88	38	number	number	NOUN
brj-22439	88	39	of	of	ADP
brj-22439	88	40	false	false	ADJ
brj-22439	88	41	positives	positive	NOUN
brj-22439	88	42	by	by	ADP
brj-22439	88	43	removing	remove	VERB
brj-22439	88	44	overlapping	overlap	VERB
brj-22439	88	45	bounding	bounding	NOUN
brj-22439	88	46	boxes	box	NOUN
brj-22439	88	47	.	.	PUNCT
brj-22439	89	1	fig	fig	NOUN
brj-22439	89	2	.	.	PUNCT
brj-22439	90	1	2	2	X
brj-22439	90	2	.	.	X
brj-22439	90	3	illustration	illustration	NOUN
brj-22439	90	4	of	of	ADP
brj-22439	90	5	the	the	DET
brj-22439	90	6	overall	overall	ADJ
brj-22439	90	7	architecture	architecture	NOUN
brj-22439	90	8	of	of	ADP
brj-22439	90	9	the	the	DET
brj-22439	90	10	proposed	propose	VERB
brj-22439	90	11	framework	framework	NOUN
brj-22439	90	12	faster	fast	ADV
brj-22439	90	13	r	r	NOUN
brj-22439	90	14	-	-	PUNCT
brj-22439	90	15	cnn	cnn	NOUN
brj-22439	90	16	figure	figure	NOUN
brj-22439	90	17	3	3	NUM
brj-22439	90	18	depicts	depict	VERB
brj-22439	90	19	the	the	DET
brj-22439	90	20	scheme	scheme	NOUN
brj-22439	90	21	of	of	ADP
brj-22439	90	22	faster	fast	ADJ
brj-22439	90	23	r	r	NOUN
brj-22439	90	24	-	-	PUNCT
brj-22439	90	25	cnn	cnn	PROPN
brj-22439	90	26	(	(	PUNCT
brj-22439	90	27	hou	hou	PROPN
brj-22439	90	28	et	et	PROPN
brj-22439	90	29	al	al	PROPN
brj-22439	90	30	.	.	PROPN
brj-22439	90	31	2020	2020	NUM
brj-22439	90	32	)	)	PUNCT
brj-22439	90	33	.	.	PUNCT
brj-22439	91	1	it	it	PRON
brj-22439	91	2	consists	consist	VERB
brj-22439	91	3	of	of	ADP
brj-22439	91	4	four	four	NUM
brj-22439	91	5	parts	part	NOUN
brj-22439	91	6	:	:	PUNCT
brj-22439	91	7	a	a	DET
brj-22439	91	8	cnn	cnn	PROPN
brj-22439	91	9	-	-	PUNCT
brj-22439	91	10	based	base	VERB
brj-22439	91	11	feature	feature	NOUN
brj-22439	91	12	extractor	extractor	NOUN
brj-22439	91	13	,	,	PUNCT
brj-22439	91	14	region	region	NOUN
brj-22439	91	15	proposal	proposal	NOUN
brj-22439	91	16	network	network	NOUN
brj-22439	91	17	(	(	PUNCT
brj-22439	91	18	rpn	rpn	PROPN
brj-22439	91	19	)	)	PUNCT
brj-22439	91	20	,	,	PUNCT
brj-22439	91	21	region	region	NOUN
brj-22439	91	22	of	of	ADP
brj-22439	91	23	interest	interest	NOUN
brj-22439	91	24	(	(	PUNCT
brj-22439	91	25	roi	roi	NOUN
brj-22439	91	26	)	)	PUNCT
brj-22439	91	27	pooling	pooling	NOUN
brj-22439	91	28	,	,	PUNCT
brj-22439	91	29	and	and	CCONJ
brj-22439	91	30	classifier	classifier	NOUN
brj-22439	91	31	network	network	NOUN
brj-22439	91	32	.	.	PUNCT
brj-22439	92	1	first	first	ADV
brj-22439	92	2	,	,	PUNCT
brj-22439	92	3	the	the	DET
brj-22439	92	4	input	input	NOUN
brj-22439	92	5	images	image	NOUN
brj-22439	92	6	were	be	AUX
brj-22439	92	7	represented	represent	VERB
brj-22439	92	8	in	in	ADP
brj-22439	92	9	the	the	DET
brj-22439	92	10	form	form	NOUN
brj-22439	92	11	of	of	ADP
brj-22439	92	12	3	3	NUM
brj-22439	92	13	-	-	PUNCT
brj-22439	92	14	dimensional	dimensional	ADJ
brj-22439	92	15	tensors	tensor	NOUN
brj-22439	92	16	with	with	ADP
brj-22439	92	17	shape	shape	NOUN
brj-22439	92	18	(	(	PUNCT
brj-22439	92	19	height	height	NOUN
brj-22439	92	20	,	,	PUNCT
brj-22439	92	21	width	width	ADJ
brj-22439	92	22	,	,	PUNCT
brj-22439	92	23	and	and	CCONJ
brj-22439	92	24	depth	depth	NOUN
brj-22439	92	25	)	)	PUNCT
brj-22439	92	26	and	and	CCONJ
brj-22439	92	27	applied	apply	VERB
brj-22439	92	28	to	to	ADP
brj-22439	92	29	a	a	DET
brj-22439	92	30	pre	pre	ADJ
brj-22439	92	31	-	-	ADJ
brj-22439	92	32	trained	train	VERB
brj-22439	92	33	cnn	cnn	PROPN
brj-22439	92	34	model	model	NOUN
brj-22439	92	35	to	to	PART
brj-22439	92	36	generate	generate	VERB
brj-22439	92	37	condensed	condense	VERB
brj-22439	92	38	feature	feature	NOUN
brj-22439	92	39	maps	map	NOUN
brj-22439	92	40	.	.	PUNCT
brj-22439	93	1	after	after	ADP
brj-22439	93	2	the	the	DET
brj-22439	93	3	feature	feature	NOUN
brj-22439	93	4	extractor	extractor	NOUN
brj-22439	93	5	,	,	PUNCT
brj-22439	93	6	the	the	DET
brj-22439	93	7	rpn	rpn	PROPN
brj-22439	93	8	estimates	estimate	VERB
brj-22439	93	9	the	the	DET
brj-22439	93	10	possible	possible	ADJ
brj-22439	93	11	regions	region	NOUN
brj-22439	93	12	(	(	PUNCT
brj-22439	93	13	bounding	bounding	NOUN
brj-22439	93	14	boxes	box	NOUN
brj-22439	93	15	)	)	PUNCT
brj-22439	93	16	using	use	VERB
brj-22439	93	17	a	a	DET
brj-22439	93	18	sliding	slide	VERB
brj-22439	93	19	window	window	NOUN
brj-22439	93	20	across	across	ADP
brj-22439	93	21	the	the	DET
brj-22439	93	22	feature	feature	NOUN
brj-22439	93	23	map	map	NOUN
brj-22439	93	24	.	.	PUNCT
brj-22439	94	1	bounding	bound	VERB
brj-22439	94	2	boxes	box	NOUN
brj-22439	94	3	are	be	AUX
brj-22439	94	4	often	often	ADV
brj-22439	94	5	called	call	VERB
brj-22439	94	6	region	region	NOUN
brj-22439	94	7	proposals	proposal	NOUN
brj-22439	94	8	or	or	CCONJ
brj-22439	94	9	roi	roi	NOUN
brj-22439	94	10	.	.	PUNCT
brj-22439	95	1	then	then	ADV
brj-22439	95	2	,	,	PUNCT
brj-22439	95	3	roi	roi	NOUN
brj-22439	95	4	pooling	pooling	NOUN
brj-22439	95	5	collects	collect	VERB
brj-22439	95	6	the	the	DET
brj-22439	95	7	feature	feature	NOUN
brj-22439	95	8	maps	map	NOUN
brj-22439	95	9	obtained	obtain	VERB
brj-22439	95	10	from	from	ADP
brj-22439	95	11	the	the	DET
brj-22439	95	12	cnn	cnn	PROPN
brj-22439	95	13	-	-	PUNCT
brj-22439	95	14	based	base	VERB
brj-22439	95	15	feature	feature	NOUN
brj-22439	95	16	extractor	extractor	NOUN
brj-22439	95	17	and	and	CCONJ
brj-22439	95	18	rois	rois	PROPN
brj-22439	95	19	,	,	PUNCT
brj-22439	95	20	synthesizes	synthesize	VERB
brj-22439	95	21	the	the	DET
brj-22439	95	22	image	image	NOUN
brj-22439	95	23	collection	collection	NOUN
brj-22439	95	24	manual	manual	NOUN
brj-22439	95	25	annotation	annotation	NOUN
brj-22439	95	26	faster	fast	ADV
brj-22439	95	27	r	r	PROPN
brj-22439	95	28	-	-	PUNCT
brj-22439	95	29	cnn	cnn	PROPN
brj-22439	95	30	training	training	NOUN
brj-22439	95	31	final	final	ADJ
brj-22439	95	32	result	result	NOUN
brj-22439	95	33	input	input	NOUN
brj-22439	95	34	image	image	NOUN
brj-22439	95	35	trained	train	VERB
brj-22439	95	36	faster	fast	ADV
brj-22439	95	37	r	r	NOUN
brj-22439	95	38	-	-	PUNCT
brj-22439	95	39	cnn	cnn	NOUN
brj-22439	95	40	overlapping	overlap	VERB
brj-22439	95	41	bounding	bounding	NOUN
brj-22439	95	42	boxes	box	NOUN
brj-22439	95	43	filter	filter	NOUN
brj-22439	95	44	output	output	NOUN
brj-22439	95	45	of	of	ADP
brj-22439	95	46	faster	fast	ADJ
brj-22439	95	47	r	r	NOUN
brj-22439	95	48	-	-	PUNCT
brj-22439	95	49	cnn	cnn	NOUN
brj-22439	95	50	peer	peer	NOUN
brj-22439	95	51	-	-	PUNCT
brj-22439	95	52	reviewed	review	VERB
brj-22439	95	53	article	article	NOUN
brj-22439	95	54	bioresources.com	bioresources.com	X
brj-22439	95	55	chen	chen	PROPN
brj-22439	95	56	et	et	PROPN
brj-22439	95	57	al	al	PROPN
brj-22439	95	58	.	.	PROPN
brj-22439	96	1	(	(	PUNCT
brj-22439	96	2	2023	2023	NUM
brj-22439	96	3	)	)	PUNCT
brj-22439	96	4	.	.	PUNCT
brj-22439	97	1	“	"	PUNCT
brj-22439	97	2	timber	timber	NOUN
brj-22439	97	3	knot	knot	NOUN
brj-22439	97	4	detector	detector	NOUN
brj-22439	97	5	with	with	ADP
brj-22439	97	6	r	r	NOUN
brj-22439	97	7	-	-	PUNCT
brj-22439	97	8	cnn	cnn	PROPN
brj-22439	97	9	,	,	PUNCT
brj-22439	97	10	”	"	PUNCT
brj-22439	97	11	bioresources	bioresource	NOUN
brj-22439	97	12	18(3	18(3	NUM
brj-22439	97	13	)	)	PUNCT
brj-22439	97	14	,	,	PUNCT
brj-22439	97	15	4964	4964	NUM
brj-22439	97	16	-	-	SYM
brj-22439	97	17	4976	4976	NUM
brj-22439	97	18	.	.	PUNCT
brj-22439	98	1	4968	4968	NUM
brj-22439	98	2	information	information	NOUN
brj-22439	98	3	,	,	PUNCT
brj-22439	98	4	and	and	CCONJ
brj-22439	98	5	generates	generate	VERB
brj-22439	98	6	proper	proper	ADJ
brj-22439	98	7	feature	feature	NOUN
brj-22439	98	8	maps	map	NOUN
brj-22439	98	9	.	.	PUNCT
brj-22439	99	1	finally	finally	ADV
brj-22439	99	2	,	,	PUNCT
brj-22439	99	3	the	the	DET
brj-22439	99	4	classifier	classifier	NOUN
brj-22439	99	5	network	network	NOUN
brj-22439	99	6	classifies	classify	VERB
brj-22439	99	7	the	the	DET
brj-22439	99	8	(	(	PUNCT
brj-22439	99	9	roi	roi	NOUN
brj-22439	99	10	-	-	PUNCT
brj-22439	99	11	pooled	pooled	ADJ
brj-22439	99	12	)	)	PUNCT
brj-22439	99	13	rois	rois	NOUN
brj-22439	99	14	as	as	ADP
brj-22439	99	15	either	either	CCONJ
brj-22439	99	16	objects	object	NOUN
brj-22439	99	17	or	or	CCONJ
brj-22439	99	18	backgrounds	background	NOUN
brj-22439	99	19	and	and	CCONJ
brj-22439	99	20	generates	generate	VERB
brj-22439	99	21	detection	detection	NOUN
brj-22439	99	22	outputs	output	NOUN
brj-22439	99	23	,	,	PUNCT
brj-22439	99	24	that	that	ADV
brj-22439	99	25	is	is	ADV
brj-22439	99	26	,	,	PUNCT
brj-22439	99	27	bounding	bound	VERB
brj-22439	99	28	boxes	box	NOUN
brj-22439	99	29	and	and	CCONJ
brj-22439	99	30	class	class	NOUN
brj-22439	99	31	probabilities	probability	NOUN
brj-22439	99	32	/	/	SYM
brj-22439	99	33	scores	score	NOUN
brj-22439	99	34	.	.	PUNCT
brj-22439	100	1	fig	fig	NOUN
brj-22439	100	2	.	.	PUNCT
brj-22439	101	1	3	3	X
brj-22439	101	2	.	.	X
brj-22439	101	3	schematic	schematic	ADJ
brj-22439	101	4	representation	representation	NOUN
brj-22439	101	5	of	of	ADP
brj-22439	101	6	faster	fast	ADJ
brj-22439	101	7	r	r	NOUN
brj-22439	101	8	-	-	PUNCT
brj-22439	101	9	cnn	cnn	PROPN
brj-22439	101	10	cnn	cnn	PROPN
brj-22439	101	11	-	-	PUNCT
brj-22439	101	12	based	base	VERB
brj-22439	101	13	feature	feature	NOUN
brj-22439	101	14	extractor	extractor	NOUN
brj-22439	101	15	mobilenet	mobilenet	NOUN
brj-22439	101	16	,	,	PUNCT
brj-22439	101	17	resnet	resnet	NOUN
brj-22439	101	18	,	,	PUNCT
brj-22439	101	19	and	and	CCONJ
brj-22439	101	20	inception	inception	NOUN
brj-22439	101	21	are	be	AUX
brj-22439	101	22	usually	usually	ADV
brj-22439	101	23	employed	employ	VERB
brj-22439	101	24	as	as	ADP
brj-22439	101	25	feature	feature	NOUN
brj-22439	101	26	extractors	extractor	NOUN
brj-22439	101	27	for	for	ADP
brj-22439	101	28	faster	fast	ADJ
brj-22439	101	29	r	r	NOUN
brj-22439	101	30	-	-	PUNCT
brj-22439	101	31	cnn	cnn	PROPN
brj-22439	101	32	(	(	PUNCT
brj-22439	101	33	zhang	zhang	PROPN
brj-22439	101	34	et	et	PROPN
brj-22439	101	35	al	al	PROPN
brj-22439	101	36	.	.	PROPN
brj-22439	101	37	2019	2019	NUM
brj-22439	101	38	)	)	PUNCT
brj-22439	101	39	.	.	PUNCT
brj-22439	102	1	among	among	ADP
brj-22439	102	2	them	they	PRON
brj-22439	102	3	,	,	PUNCT
brj-22439	102	4	resnet	resnet	NOUN
brj-22439	102	5	is	be	AUX
brj-22439	102	6	easier	easy	ADJ
brj-22439	102	7	to	to	PART
brj-22439	102	8	optimize	optimize	VERB
brj-22439	102	9	and	and	CCONJ
brj-22439	102	10	achieves	achieve	VERB
brj-22439	102	11	a	a	DET
brj-22439	102	12	higher	high	ADJ
brj-22439	102	13	accuracy	accuracy	NOUN
brj-22439	102	14	.	.	PUNCT
brj-22439	103	1	additionally	additionally	ADV
brj-22439	103	2	,	,	PUNCT
brj-22439	103	3	the	the	DET
brj-22439	103	4	bottleneck	bottleneck	NOUN
brj-22439	103	5	design	design	NOUN
brj-22439	103	6	utilized	utilize	VERB
brj-22439	103	7	in	in	ADP
brj-22439	103	8	resnet	resnet	NOUN
brj-22439	103	9	is	be	AUX
brj-22439	103	10	an	an	DET
brj-22439	103	11	effective	effective	ADJ
brj-22439	103	12	way	way	NOUN
brj-22439	103	13	to	to	PART
brj-22439	103	14	solve	solve	VERB
brj-22439	103	15	the	the	DET
brj-22439	103	16	vanishing	vanish	VERB
brj-22439	103	17	gradient	gradient	NOUN
brj-22439	103	18	issue	issue	NOUN
brj-22439	103	19	using	use	VERB
brj-22439	103	20	skip	skip	ADJ
brj-22439	103	21	connections	connection	NOUN
brj-22439	103	22	in	in	ADP
brj-22439	103	23	the	the	DET
brj-22439	103	24	network	network	NOUN
brj-22439	103	25	.	.	PUNCT
brj-22439	104	1	the	the	DET
brj-22439	104	2	design	design	NOUN
brj-22439	104	3	also	also	ADV
brj-22439	104	4	reduces	reduce	VERB
brj-22439	104	5	the	the	DET
brj-22439	104	6	time	time	NOUN
brj-22439	104	7	complexity	complexity	NOUN
brj-22439	104	8	of	of	ADP
brj-22439	104	9	the	the	DET
brj-22439	104	10	network	network	NOUN
brj-22439	104	11	caused	cause	VERB
brj-22439	104	12	by	by	ADP
brj-22439	104	13	the	the	DET
brj-22439	104	14	increasing	increase	VERB
brj-22439	104	15	number	number	NOUN
brj-22439	104	16	of	of	ADP
brj-22439	104	17	layers	layer	NOUN
brj-22439	104	18	in	in	ADP
brj-22439	104	19	the	the	DET
brj-22439	104	20	deep	deep	ADJ
brj-22439	104	21	network	network	NOUN
brj-22439	104	22	architecture	architecture	NOUN
brj-22439	104	23	(	(	PUNCT
brj-22439	104	24	elpeltagy	elpeltagy	ADJ
brj-22439	104	25	and	and	CCONJ
brj-22439	104	26	sallam	sallam	NOUN
brj-22439	104	27	2021	2021	NUM
brj-22439	104	28	)	)	PUNCT
brj-22439	104	29	.	.	PUNCT
brj-22439	105	1	therefore	therefore	ADV
brj-22439	105	2	,	,	PUNCT
brj-22439	105	3	the	the	DET
brj-22439	105	4	resnet-50	resnet-50	PROPN
brj-22439	105	5	pre	pre	ADJ
brj-22439	105	6	-	-	ADJ
brj-22439	105	7	trained	train	VERB
brj-22439	105	8	model	model	NOUN
brj-22439	105	9	was	be	AUX
brj-22439	105	10	chosen	choose	VERB
brj-22439	105	11	as	as	ADP
brj-22439	105	12	the	the	DET
brj-22439	105	13	feature	feature	NOUN
brj-22439	105	14	extractor	extractor	NOUN
brj-22439	105	15	of	of	ADP
brj-22439	105	16	faster	fast	ADJ
brj-22439	105	17	r	r	NOUN
brj-22439	105	18	-	-	NOUN
brj-22439	105	19	cnn	cnn	NOUN
brj-22439	105	20	in	in	ADP
brj-22439	105	21	this	this	DET
brj-22439	105	22	study	study	NOUN
brj-22439	105	23	.	.	PUNCT
brj-22439	106	1	figure	figure	NOUN
brj-22439	106	2	4	4	NUM
brj-22439	106	3	shows	show	VERB
brj-22439	106	4	a	a	DET
brj-22439	106	5	detailed	detailed	ADJ
brj-22439	106	6	description	description	NOUN
brj-22439	106	7	of	of	ADP
brj-22439	106	8	the	the	DET
brj-22439	106	9	architecture	architecture	NOUN
brj-22439	106	10	(	(	PUNCT
brj-22439	106	11	kim	kim	PROPN
brj-22439	106	12	et	et	PROPN
brj-22439	106	13	al	al	PROPN
brj-22439	106	14	.	.	PROPN
brj-22439	106	15	2021	2021	NUM
brj-22439	106	16	)	)	PUNCT
brj-22439	106	17	.	.	PUNCT
brj-22439	107	1	fig	fig	NOUN
brj-22439	107	2	.	.	PUNCT
brj-22439	108	1	4	4	X
brj-22439	108	2	.	.	X
brj-22439	108	3	architecture	architecture	NOUN
brj-22439	108	4	of	of	ADP
brj-22439	108	5	resnet-50	resnet-50	PROPN
brj-22439	108	6	employed	employ	VERB
brj-22439	108	7	in	in	ADP
brj-22439	108	8	this	this	DET
brj-22439	108	9	study	study	NOUN
brj-22439	108	10	rpn	rpn	PROPN
brj-22439	108	11	network	network	NOUN
brj-22439	108	12	as	as	SCONJ
brj-22439	108	13	shown	show	VERB
brj-22439	108	14	in	in	ADP
brj-22439	108	15	fig	fig	NOUN
brj-22439	108	16	.	.	PUNCT
brj-22439	109	1	5	5	NUM
brj-22439	109	2	,	,	PUNCT
brj-22439	109	3	the	the	DET
brj-22439	109	4	rpn	rpn	PROPN
brj-22439	109	5	network	network	PROPN
brj-22439	109	6	uses	use	VERB
brj-22439	109	7	the	the	DET
brj-22439	109	8	feature	feature	NOUN
brj-22439	109	9	map	map	NOUN
brj-22439	109	10	output	output	NOUN
brj-22439	109	11	from	from	ADP
brj-22439	109	12	the	the	DET
brj-22439	109	13	cnnbased	cnnbase	VERB
brj-22439	109	14	feature	feature	NOUN
brj-22439	109	15	extractor	extractor	NOUN
brj-22439	109	16	as	as	ADP
brj-22439	109	17	the	the	DET
brj-22439	109	18	input	input	NOUN
brj-22439	109	19	and	and	CCONJ
brj-22439	109	20	scans	scan	VERB
brj-22439	109	21	the	the	DET
brj-22439	109	22	maps	map	NOUN
brj-22439	109	23	using	use	VERB
brj-22439	109	24	a	a	DET
brj-22439	109	25	sliding	slide	VERB
brj-22439	109	26	window	window	NOUN
brj-22439	109	27	approach	approach	NOUN
brj-22439	109	28	(	(	PUNCT
brj-22439	109	29	ren	ren	NOUN
brj-22439	109	30	et	et	PROPN
brj-22439	109	31	al	al	PROPN
brj-22439	109	32	.	.	PROPN
brj-22439	109	33	2017	2017	NUM
brj-22439	109	34	)	)	PUNCT
brj-22439	109	35	.	.	PUNCT
brj-22439	110	1	a	a	DET
brj-22439	110	2	convolution	convolution	NOUN
brj-22439	110	3	with	with	ADP
brj-22439	110	4	a	a	DET
brj-22439	110	5	size	size	NOUN
brj-22439	110	6	of	of	ADP
brj-22439	110	7	3	3	NUM
brj-22439	110	8	×	×	NOUN
brj-22439	110	9	3	3	NUM
brj-22439	110	10	×	×	NOUN
brj-22439	110	11	256	256	NUM
brj-22439	110	12	is	be	AUX
brj-22439	110	13	applied	apply	VERB
brj-22439	110	14	to	to	ADP
brj-22439	110	15	each	each	DET
brj-22439	110	16	window	window	NOUN
brj-22439	110	17	position	position	NOUN
brj-22439	110	18	,	,	PUNCT
brj-22439	110	19	and	and	CCONJ
brj-22439	110	20	the	the	DET
brj-22439	110	21	output	output	NOUN
brj-22439	110	22	lower	lower	ADV
brj-22439	110	23	-	-	PUNCT
brj-22439	110	24	dimensional	dimensional	ADJ
brj-22439	110	25	features	feature	NOUN
brj-22439	110	26	are	be	AUX
brj-22439	110	27	then	then	ADV
brj-22439	110	28	fed	feed	VERB
brj-22439	110	29	into	into	ADP
brj-22439	110	30	two	two	NUM
brj-22439	110	31	sibling	sible	VERB
brj-22439	110	32	1	1	NUM
brj-22439	110	33	×	×	NOUN
brj-22439	110	34	1	1	NUM
brj-22439	110	35	convolutional	convolutional	ADJ
brj-22439	110	36	layers	layer	NOUN
brj-22439	110	37	(	(	PUNCT
brj-22439	110	38	for	for	ADP
brj-22439	110	39	𝑟𝑒𝑔	𝑟𝑒𝑔	NOUN
brj-22439	110	40	and	and	CCONJ
brj-22439	110	41	𝑐𝑙𝑠	𝑐𝑙𝑠	ADV
brj-22439	110	42	,	,	PUNCT
brj-22439	110	43	respectively	respectively	ADV
brj-22439	110	44	)	)	PUNCT
brj-22439	110	45	.	.	PUNCT
brj-22439	111	1	suppose	suppose	VERB
brj-22439	111	2	that	that	SCONJ
brj-22439	111	3	𝑘	𝑘	DET
brj-22439	111	4	region	region	NOUN
brj-22439	111	5	proposals	proposal	NOUN
brj-22439	111	6	of	of	ADP
brj-22439	111	7	different	different	ADJ
brj-22439	111	8	shapes	shape	NOUN
brj-22439	111	9	and	and	CCONJ
brj-22439	111	10	sizes	size	NOUN
brj-22439	111	11	are	be	AUX
brj-22439	111	12	generated	generate	VERB
brj-22439	111	13	at	at	ADP
brj-22439	111	14	each	each	DET
brj-22439	111	15	sliding	slide	VERB
brj-22439	111	16	window	window	NOUN
brj-22439	111	17	location	location	NOUN
brj-22439	111	18	,	,	PUNCT
brj-22439	111	19	the	the	DET
brj-22439	111	20	𝑐𝑙𝑠	𝑐𝑙𝑠	ADJ
brj-22439	111	21	layer	layer	NOUN
brj-22439	111	22	estimates	estimate	VERB
brj-22439	111	23	2𝑘	2𝑘	NUM
brj-22439	111	24	probabilities	probability	NOUN
brj-22439	111	25	for	for	ADP
brj-22439	111	26	two	two	NUM
brj-22439	111	27	categories	category	NOUN
brj-22439	111	28	(	(	PUNCT
brj-22439	111	29	object	object	NOUN
brj-22439	111	30	or	or	CCONJ
brj-22439	111	31	not	not	PART
brj-22439	111	32	)	)	PUNCT
brj-22439	111	33	and	and	CCONJ
brj-22439	111	34	the	the	DET
brj-22439	111	35	𝑟𝑒𝑔	𝑟𝑒𝑔	NOUN
brj-22439	111	36	layer	layer	NOUN
brj-22439	111	37	outputs	output	VERB
brj-22439	111	38	4𝑘	4𝑘	NOUN
brj-22439	111	39	coordinates	coordinate	NOUN
brj-22439	111	40	for	for	ADP
brj-22439	111	41	the	the	DET
brj-22439	111	42	𝑘	𝑘	PRON
brj-22439	111	43	bounding	bounding	NOUN
brj-22439	111	44	boxes	box	NOUN
brj-22439	111	45	.	.	PUNCT
brj-22439	112	1	feature	feature	NOUN
brj-22439	112	2	map	map	VERB
brj-22439	112	3	cls	cls	NOUN
brj-22439	112	4	-	-	PUNCT
brj-22439	112	5	pre	pre	NOUN
brj-22439	112	6	bbox	bbox	NOUN
brj-22439	112	7	-	-	PUNCT
brj-22439	112	8	reg	reg	NOUN
brj-22439	112	9	input	input	NOUN
brj-22439	112	10	i	i	PRON
brj-22439	112	11	feature	feature	VERB
brj-22439	112	12	extraction	extraction	NOUN
brj-22439	112	13	feature	feature	NOUN
brj-22439	112	14	rpn	rpn	PROPN
brj-22439	112	15	network	network	NOUN
brj-22439	112	16	roi	roi	PROPN
brj-22439	112	17	poolingfully	poolingfully	ADV
brj-22439	112	18	connected	connect	VERB
brj-22439	112	19	layeroutput	layeroutput	NOUN
brj-22439	112	20	o	o	NOUN
brj-22439	112	21	block	block	NOUN
brj-22439	112	22	1	1	NUM
brj-22439	112	23	7	7	NUM
brj-22439	112	24	×	×	NOUN
brj-22439	112	25	7	7	NUM
brj-22439	112	26	c	c	NOUN
brj-22439	112	27	o	o	NOUN
brj-22439	112	28	n	n	ADP
brj-22439	112	29	v	v	NUM
brj-22439	112	30	3	3	NUM
brj-22439	112	31	×	×	NOUN
brj-22439	112	32	3	3	NUM
brj-22439	112	33	p	p	NOUN
brj-22439	112	34	o	o	NOUN
brj-22439	112	35	o	o	X
brj-22439	112	36	l	l	NOUN
brj-22439	112	37	1×1	1×1	NUM
brj-22439	112	38	,	,	PUNCT
brj-22439	112	39	64	64	NUM
brj-22439	112	40	3×3	3×3	NUM
brj-22439	112	41	,	,	PUNCT
brj-22439	112	42	64	64	NUM
brj-22439	112	43	1×1	1×1	NUM
brj-22439	112	44	,	,	PUNCT
brj-22439	112	45	256	256	NUM
brj-22439	112	46	×3	×3	NOUN
brj-22439	112	47	residual	residual	ADJ
brj-22439	112	48	block	block	NOUN
brj-22439	112	49	1	1	NUM
brj-22439	112	50	1×1	1×1	NUM
brj-22439	112	51	,	,	PUNCT
brj-22439	112	52	128	128	NUM
brj-22439	112	53	3×3	3×3	NUM
brj-22439	112	54	,	,	PUNCT
brj-22439	112	55	128	128	NUM
brj-22439	112	56	1×1	1×1	NUM
brj-22439	112	57	,	,	PUNCT
brj-22439	112	58	512	512	NUM
brj-22439	112	59	×4	×4	NOUN
brj-22439	112	60	residual	residual	ADJ
brj-22439	112	61	block	block	NOUN
brj-22439	112	62	2	2	NUM
brj-22439	112	63	1×1	1×1	NUM
brj-22439	112	64	,	,	PUNCT
brj-22439	112	65	256	256	NUM
brj-22439	112	66	3×3	3×3	NUM
brj-22439	112	67	,	,	PUNCT
brj-22439	112	68	256	256	NUM
brj-22439	112	69	1×1	1×1	NUM
brj-22439	112	70	,	,	PUNCT
brj-22439	112	71	1024	1024	NUM
brj-22439	112	72	×6	×6	ADJ
brj-22439	112	73	residual	residual	ADJ
brj-22439	112	74	block	block	NOUN
brj-22439	112	75	3	3	NUM
brj-22439	112	76	1×1	1×1	NUM
brj-22439	112	77	,	,	PUNCT
brj-22439	112	78	512	512	NUM
brj-22439	112	79	3×3	3×3	NUM
brj-22439	112	80	,	,	PUNCT
brj-22439	112	81	512	512	NUM
brj-22439	112	82	1×1	1×1	NUM
brj-22439	112	83	,	,	PUNCT
brj-22439	112	84	2048	2048	NUM
brj-22439	112	85	×3	×3	NOUN
brj-22439	112	86	residual	residual	ADJ
brj-22439	112	87	block	block	NOUN
brj-22439	112	88	4	4	NUM
brj-22439	112	89	peer	peer	NOUN
brj-22439	112	90	-	-	PUNCT
brj-22439	112	91	reviewed	review	VERB
brj-22439	112	92	article	article	NOUN
brj-22439	112	93	bioresources.com	bioresources.com	X
brj-22439	112	94	chen	chen	PROPN
brj-22439	112	95	et	et	PROPN
brj-22439	112	96	al	al	PROPN
brj-22439	112	97	.	.	PROPN
brj-22439	113	1	(	(	PUNCT
brj-22439	113	2	2023	2023	NUM
brj-22439	113	3	)	)	PUNCT
brj-22439	113	4	.	.	PUNCT
brj-22439	114	1	“	"	PUNCT
brj-22439	114	2	timber	timber	NOUN
brj-22439	114	3	knot	knot	NOUN
brj-22439	114	4	detector	detector	NOUN
brj-22439	114	5	with	with	ADP
brj-22439	114	6	r	r	NOUN
brj-22439	114	7	-	-	PUNCT
brj-22439	114	8	cnn	cnn	PROPN
brj-22439	114	9	,	,	PUNCT
brj-22439	114	10	”	"	PUNCT
brj-22439	114	11	bioresources	bioresource	NOUN
brj-22439	114	12	18(3	18(3	NUM
brj-22439	114	13	)	)	PUNCT
brj-22439	114	14	,	,	PUNCT
brj-22439	114	15	4964	4964	NUM
brj-22439	114	16	-	-	SYM
brj-22439	114	17	4976	4976	NUM
brj-22439	114	18	.	.	PUNCT
brj-22439	115	1	4969	4969	NUM
brj-22439	115	2	roi	roi	NOUN
brj-22439	115	3	pooling	pool	VERB
brj-22439	115	4	roi	roi	NOUN
brj-22439	115	5	pooling	pooling	NOUN
brj-22439	115	6	is	be	AUX
brj-22439	115	7	a	a	DET
brj-22439	115	8	concept	concept	NOUN
brj-22439	115	9	introduced	introduce	VERB
brj-22439	115	10	by	by	ADP
brj-22439	115	11	fast	fast	ADJ
brj-22439	115	12	r	r	NOUN
brj-22439	115	13	-	-	PUNCT
brj-22439	115	14	cnn	cnn	PROPN
brj-22439	115	15	,	,	PUNCT
brj-22439	115	16	an	an	DET
brj-22439	115	17	earlier	early	ADJ
brj-22439	115	18	version	version	NOUN
brj-22439	115	19	of	of	ADP
brj-22439	115	20	faster	fast	ADJ
brj-22439	115	21	rcnn	rcnn	NOUN
brj-22439	115	22	.	.	PUNCT
brj-22439	116	1	it	it	PRON
brj-22439	116	2	functions	function	VERB
brj-22439	116	3	as	as	ADP
brj-22439	116	4	a	a	DET
brj-22439	116	5	data	data	NOUN
brj-22439	116	6	shape	shape	NOUN
brj-22439	116	7	normalizer	normalizer	NOUN
brj-22439	116	8	.	.	PUNCT
brj-22439	117	1	every	every	DET
brj-22439	117	2	roi	roi	NOUN
brj-22439	117	3	from	from	ADP
brj-22439	117	4	the	the	DET
brj-22439	117	5	input	input	NOUN
brj-22439	117	6	list	list	NOUN
brj-22439	117	7	is	be	AUX
brj-22439	117	8	divided	divide	VERB
brj-22439	117	9	into	into	ADP
brj-22439	117	10	equal	equal	ADJ
brj-22439	117	11	-	-	PUNCT
brj-22439	117	12	sized	sized	ADJ
brj-22439	117	13	sections	section	NOUN
brj-22439	117	14	,	,	PUNCT
brj-22439	117	15	standard	standard	ADJ
brj-22439	117	16	mass	mass	ADJ
brj-22439	117	17	pooling	pooling	NOUN
brj-22439	117	18	is	be	AUX
brj-22439	117	19	applied	apply	VERB
brj-22439	117	20	independently	independently	ADV
brj-22439	117	21	to	to	ADP
brj-22439	117	22	each	each	DET
brj-22439	117	23	section	section	NOUN
brj-22439	117	24	,	,	PUNCT
brj-22439	117	25	and	and	CCONJ
brj-22439	117	26	the	the	DET
brj-22439	117	27	maximum	maximum	ADJ
brj-22439	117	28	values	value	NOUN
brj-22439	117	29	are	be	AUX
brj-22439	117	30	copied	copy	VERB
brj-22439	117	31	to	to	ADP
brj-22439	117	32	the	the	DET
brj-22439	117	33	output	output	NOUN
brj-22439	117	34	buffer	buffer	NOUN
brj-22439	117	35	.	.	PUNCT
brj-22439	118	1	the	the	DET
brj-22439	118	2	dimension	dimension	NOUN
brj-22439	118	3	of	of	ADP
brj-22439	118	4	the	the	DET
brj-22439	118	5	roi	roi	NOUN
brj-22439	118	6	pooling	pool	VERB
brj-22439	118	7	output	output	NOUN
brj-22439	118	8	does	do	AUX
brj-22439	118	9	not	not	PART
brj-22439	118	10	rely	rely	VERB
brj-22439	118	11	on	on	ADP
brj-22439	118	12	the	the	DET
brj-22439	118	13	size	size	NOUN
brj-22439	118	14	of	of	ADP
brj-22439	118	15	the	the	DET
brj-22439	118	16	region	region	NOUN
brj-22439	118	17	proposals	proposal	NOUN
brj-22439	118	18	or	or	CCONJ
brj-22439	118	19	the	the	DET
brj-22439	118	20	size	size	NOUN
brj-22439	118	21	of	of	ADP
brj-22439	118	22	the	the	DET
brj-22439	118	23	input	input	NOUN
brj-22439	118	24	feature	feature	NOUN
brj-22439	118	25	map	map	NOUN
brj-22439	118	26	.	.	PUNCT
brj-22439	119	1	the	the	DET
brj-22439	119	2	exclusive	exclusive	ADJ
brj-22439	119	3	determinant	determinant	ADJ
brj-22439	119	4	is	be	AUX
brj-22439	119	5	the	the	DET
brj-22439	119	6	number	number	NOUN
brj-22439	119	7	of	of	ADP
brj-22439	119	8	sections	section	NOUN
brj-22439	119	9	into	into	ADP
brj-22439	119	10	which	which	PRON
brj-22439	119	11	the	the	DET
brj-22439	119	12	proposal	proposal	NOUN
brj-22439	119	13	is	be	AUX
brj-22439	119	14	divided	divide	VERB
brj-22439	119	15	.	.	PUNCT
brj-22439	120	1	fig	fig	NOUN
brj-22439	120	2	.	.	PUNCT
brj-22439	121	1	5	5	X
brj-22439	121	2	.	.	X
brj-22439	121	3	structure	structure	NOUN
brj-22439	121	4	of	of	ADP
brj-22439	121	5	rpn	rpn	PROPN
brj-22439	121	6	overlapping	overlap	VERB
brj-22439	121	7	bounding	bounding	NOUN
brj-22439	121	8	boxes	box	NOUN
brj-22439	121	9	filter	filter	VERB
brj-22439	121	10	the	the	DET
brj-22439	121	11	filter	filter	NOUN
brj-22439	121	12	identifies	identify	VERB
brj-22439	121	13	the	the	DET
brj-22439	121	14	overlapping	overlap	VERB
brj-22439	121	15	bounding	bounding	NOUN
brj-22439	121	16	boxes	box	NOUN
brj-22439	121	17	and	and	CCONJ
brj-22439	121	18	replaces	replace	VERB
brj-22439	121	19	them	they	PRON
brj-22439	121	20	with	with	ADP
brj-22439	121	21	a	a	DET
brj-22439	121	22	maximum	maximum	ADJ
brj-22439	121	23	-	-	PUNCT
brj-22439	121	24	enclosing	enclose	VERB
brj-22439	121	25	rectangle	rectangle	NOUN
brj-22439	121	26	.	.	PUNCT
brj-22439	122	1	assume	assume	VERB
brj-22439	122	2	𝑅𝑖	𝑅𝑖	PROPN
brj-22439	122	3	and	and	CCONJ
brj-22439	122	4	𝑅𝑗	𝑅𝑗	PROPN
brj-22439	122	5	are	be	AUX
brj-22439	122	6	two	two	NUM
brj-22439	122	7	bounding	bounding	NOUN
brj-22439	122	8	boxes	box	NOUN
brj-22439	122	9	output	output	NOUN
brj-22439	122	10	by	by	ADP
brj-22439	122	11	faster	fast	ADJ
brj-22439	122	12	r	r	NOUN
brj-22439	122	13	-	-	PUNCT
brj-22439	122	14	cnn	cnn	PROPN
brj-22439	122	15	model	model	NOUN
brj-22439	122	16	.	.	PUNCT
brj-22439	123	1	they	they	PRON
brj-22439	123	2	are	be	AUX
brj-22439	123	3	said	say	VERB
brj-22439	123	4	to	to	PART
brj-22439	123	5	overlap	overlap	VERB
brj-22439	123	6	if	if	SCONJ
brj-22439	123	7	they	they	PRON
brj-22439	123	8	overlap	overlap	VERB
brj-22439	123	9	in	in	ADP
brj-22439	123	10	both	both	CCONJ
brj-22439	123	11	𝑥	𝑥	NOUN
brj-22439	123	12	and	and	CCONJ
brj-22439	123	13	𝑦	𝑦	NOUN
brj-22439	123	14	directions	direction	NOUN
brj-22439	123	15	.	.	PUNCT
brj-22439	124	1	this	this	PRON
brj-22439	124	2	can	can	AUX
brj-22439	124	3	be	be	AUX
brj-22439	124	4	expressed	express	VERB
brj-22439	124	5	by	by	ADP
brj-22439	124	6	eq	eq	PROPN
brj-22439	124	7	.	.	PROPN
brj-22439	124	8	1	1	NUM
brj-22439	124	9	,	,	PUNCT
brj-22439	124	10	if	if	SCONJ
brj-22439	124	11	max(𝑥𝑖1	max(𝑥𝑖1	NOUN
brj-22439	124	12	,	,	PUNCT
brj-22439	124	13	𝑥𝑗1	𝑥𝑗1	NOUN
brj-22439	124	14	)	)	PUNCT
brj-22439	124	15	<	<	X
brj-22439	125	1	min(𝑥𝑖2	min(𝑥𝑖2	NOUN
brj-22439	125	2	,	,	PUNCT
brj-22439	125	3	𝑥𝑗2	𝑥𝑗2	ADJ
brj-22439	125	4	)	)	PUNCT
brj-22439	125	5	and	and	CCONJ
brj-22439	125	6	max(𝑦𝑖1	max(𝑦𝑖1	ADV
brj-22439	125	7	,	,	PUNCT
brj-22439	125	8	𝑦𝑗1	𝑦𝑗1	NOUN
brj-22439	125	9	)	)	PUNCT
brj-22439	125	10	<	<	X
brj-22439	125	11	min(𝑦𝑖2	min(𝑦𝑖2	NOUN
brj-22439	125	12	,	,	PUNCT
brj-22439	125	13	𝑦𝑗2	𝑦𝑗2	PROPN
brj-22439	125	14	)	)	PUNCT
brj-22439	125	15	then	then	ADV
brj-22439	125	16	𝑅𝑖	𝑅𝑖	PROPN
brj-22439	125	17	∩	∩	ADJ
brj-22439	125	18	𝑅𝑗	𝑅𝑗	PROPN
brj-22439	125	19	(	(	PUNCT
brj-22439	125	20	1	1	NUM
brj-22439	125	21	)	)	PUNCT
brj-22439	125	22	where	where	SCONJ
brj-22439	125	23	(	(	PUNCT
brj-22439	125	24	𝑥𝑖1	𝑥𝑖1	NOUN
brj-22439	125	25	,	,	PUNCT
brj-22439	125	26	𝑦𝑖1	𝑦𝑖1	ADV
brj-22439	125	27	)	)	PUNCT
brj-22439	125	28	is	be	AUX
brj-22439	125	29	the	the	DET
brj-22439	125	30	upper	upper	ADV
brj-22439	125	31	-	-	PUNCT
brj-22439	125	32	left	left	ADJ
brj-22439	125	33	corner	corner	NOUN
brj-22439	125	34	of	of	ADP
brj-22439	125	35	𝑅𝑖	𝑅𝑖	PROPN
brj-22439	125	36	and	and	CCONJ
brj-22439	125	37	(	(	PUNCT
brj-22439	125	38	𝑥𝑖2	𝑥𝑖2	NOUN
brj-22439	125	39	,	,	PUNCT
brj-22439	125	40	𝑦𝑖2	𝑦𝑖2	PROPN
brj-22439	125	41	)	)	PUNCT
brj-22439	125	42	is	be	AUX
brj-22439	125	43	the	the	DET
brj-22439	125	44	lower	low	ADJ
brj-22439	125	45	-	-	PUNCT
brj-22439	125	46	right	right	ADJ
brj-22439	125	47	corner	corner	NOUN
brj-22439	125	48	.	.	PUNCT
brj-22439	126	1	(	(	PUNCT
brj-22439	126	2	𝑥𝑗1	𝑥𝑗1	NOUN
brj-22439	126	3	,	,	PUNCT
brj-22439	126	4	𝑦𝑗1	𝑦𝑗1	NOUN
brj-22439	126	5	)	)	PUNCT
brj-22439	126	6	and	and	CCONJ
brj-22439	126	7	(	(	PUNCT
brj-22439	126	8	𝑥𝑗2	𝑥𝑗2	PROPN
brj-22439	126	9	,	,	PUNCT
brj-22439	126	10	𝑦𝑗2	𝑦𝑗2	PROPN
brj-22439	126	11	)	)	PUNCT
brj-22439	126	12	denote	denote	VERB
brj-22439	126	13	the	the	DET
brj-22439	126	14	corresponding	correspond	VERB
brj-22439	126	15	corners	corner	NOUN
brj-22439	126	16	of	of	ADP
brj-22439	126	17	𝑅𝑗	𝑅𝑗	PROPN
brj-22439	126	18	respectively	respectively	ADV
brj-22439	126	19	.	.	PUNCT
brj-22439	127	1	given	give	VERB
brj-22439	127	2	𝑁	𝑁	NOUN
brj-22439	127	3	overlapping	overlap	VERB
brj-22439	127	4	bounding	bounding	NOUN
brj-22439	127	5	boxes	box	NOUN
brj-22439	127	6	,	,	PUNCT
brj-22439	127	7	the	the	DET
brj-22439	127	8	maximum	maximum	ADJ
brj-22439	127	9	enclosing	enclose	VERB
brj-22439	127	10	rectangle	rectangle	NOUN
brj-22439	127	11	𝑅	𝑅	PROPN
brj-22439	127	12	is	be	AUX
brj-22439	127	13	used	use	VERB
brj-22439	127	14	to	to	PART
brj-22439	127	15	replace	replace	VERB
brj-22439	127	16	them	they	PRON
brj-22439	127	17	.	.	PUNCT
brj-22439	128	1	the	the	DET
brj-22439	128	2	upper	upper	ADJ
brj-22439	128	3	left	left	ADJ
brj-22439	128	4	corners	corner	NOUN
brj-22439	128	5	(	(	PUNCT
brj-22439	128	6	𝑥𝑅1	𝑥𝑅1	PROPN
brj-22439	128	7	,	,	PUNCT
brj-22439	128	8	𝑦𝑅1	𝑦𝑅1	PROPN
brj-22439	128	9	)	)	PUNCT
brj-22439	128	10	of	of	ADP
brj-22439	128	11	𝑅	𝑅	PROPN
brj-22439	128	12	can	can	AUX
brj-22439	128	13	be	be	AUX
brj-22439	128	14	determined	determine	VERB
brj-22439	128	15	using	use	VERB
brj-22439	128	16	eq	eq	ADP
brj-22439	128	17	.	.	PROPN
brj-22439	128	18	2	2	NUM
brj-22439	128	19	:	:	PUNCT
brj-22439	128	20	{	{	PUNCT
brj-22439	128	21	𝑥𝑅1	𝑥𝑅1	PROPN
brj-22439	128	22	=	=	PUNCT
brj-22439	128	23	min{𝑥𝑖1	min{𝑥𝑖1	NOUN
brj-22439	128	24	}	}	PUNCT
brj-22439	128	25	𝑦𝑅1	𝑦𝑅1	PROPN
brj-22439	128	26	=	=	PUNCT
brj-22439	128	27	min{𝑦𝑖1	min{𝑦𝑖1	NOUN
brj-22439	128	28	}	}	PUNCT
brj-22439	128	29	,	,	PUNCT
brj-22439	128	30	𝑖	𝑖	NOUN
brj-22439	128	31	=	=	SYM
brj-22439	128	32	1	1	NUM
brj-22439	128	33	,	,	PUNCT
brj-22439	128	34	2	2	NUM
brj-22439	128	35	,	,	PUNCT
brj-22439	128	36	⋯	⋯	NOUN
brj-22439	128	37	,	,	PUNCT
brj-22439	128	38	𝑁	𝑁	PROPN
brj-22439	128	39	(	(	PUNCT
brj-22439	128	40	2	2	NUM
brj-22439	128	41	)	)	PUNCT
brj-22439	128	42	the	the	DET
brj-22439	128	43	lower	low	ADJ
brj-22439	128	44	-	-	PUNCT
brj-22439	128	45	right	right	ADJ
brj-22439	128	46	corner	corner	NOUN
brj-22439	128	47	(	(	PUNCT
brj-22439	128	48	𝑥𝑅2	𝑥𝑅2	PROPN
brj-22439	128	49	,	,	PUNCT
brj-22439	128	50	𝑦𝑅2	𝑦𝑅2	PROPN
brj-22439	128	51	)	)	PUNCT
brj-22439	128	52	can	can	AUX
brj-22439	128	53	be	be	AUX
brj-22439	128	54	obtained	obtain	VERB
brj-22439	128	55	according	accord	VERB
brj-22439	128	56	to	to	ADP
brj-22439	128	57	eq	eq	PROPN
brj-22439	128	58	.	.	PROPN
brj-22439	129	1	3	3	NUM
brj-22439	129	2	:	:	PUNCT
brj-22439	129	3	{	{	PUNCT
brj-22439	129	4	𝑥𝑅2	𝑥𝑅2	PROPN
brj-22439	129	5	=	=	PUNCT
brj-22439	129	6	max{𝑥𝑖2	max{𝑥𝑖2	PROPN
brj-22439	129	7	}	}	PUNCT
brj-22439	129	8	𝑦𝑅2	𝑦𝑅2	PROPN
brj-22439	129	9	=	=	PUNCT
brj-22439	129	10	max{𝑦𝑖2	max{𝑦𝑖2	NOUN
brj-22439	129	11	}	}	PUNCT
brj-22439	129	12	,	,	PUNCT
brj-22439	129	13	𝑖	𝑖	NOUN
brj-22439	129	14	=	=	SYM
brj-22439	129	15	1	1	NUM
brj-22439	129	16	,	,	PUNCT
brj-22439	129	17	2	2	NUM
brj-22439	129	18	,	,	PUNCT
brj-22439	129	19	⋯	⋯	NOUN
brj-22439	129	20	,	,	PUNCT
brj-22439	129	21	𝑁	𝑁	PROPN
brj-22439	129	22	(	(	PUNCT
brj-22439	129	23	3	3	NUM
brj-22439	129	24	)	)	PUNCT
brj-22439	129	25	sliding	slide	VERB
brj-22439	129	26	window	window	NOUN
brj-22439	129	27	feature	feature	NOUN
brj-22439	129	28	map	map	VERB
brj-22439	129	29	intermediate	intermediate	ADJ
brj-22439	129	30	layer	layer	NOUN
brj-22439	129	31	256	256	NUM
brj-22439	129	32	-	-	SYM
brj-22439	129	33	d	d	X
brj-22439	129	34	4k	4k	NOUN
brj-22439	129	35	coordinates2k	coordinates2k	PROPN
brj-22439	129	36	scores	score	NOUN
brj-22439	129	37	cls	cls	NOUN
brj-22439	129	38	layer	layer	NOUN
brj-22439	129	39	reg	reg	NOUN
brj-22439	129	40	layer	layer	NOUN
brj-22439	129	41	k	k	PROPN
brj-22439	129	42	anchor	anchor	PROPN
brj-22439	129	43	boxes	box	VERB
brj-22439	129	44	peer	peer	NOUN
brj-22439	129	45	-	-	PUNCT
brj-22439	129	46	reviewed	review	VERB
brj-22439	129	47	article	article	NOUN
brj-22439	129	48	bioresources.com	bioresources.com	X
brj-22439	129	49	chen	chen	PROPN
brj-22439	129	50	et	et	PROPN
brj-22439	129	51	al	al	PROPN
brj-22439	129	52	.	.	PROPN
brj-22439	129	53	(	(	PUNCT
brj-22439	129	54	2023	2023	NUM
brj-22439	129	55	)	)	PUNCT
brj-22439	129	56	.	.	PUNCT
brj-22439	130	1	“	"	PUNCT
brj-22439	130	2	timber	timber	NOUN
brj-22439	130	3	knot	knot	NOUN
brj-22439	130	4	detector	detector	NOUN
brj-22439	130	5	with	with	ADP
brj-22439	130	6	r	r	NOUN
brj-22439	130	7	-	-	PUNCT
brj-22439	130	8	cnn	cnn	PROPN
brj-22439	130	9	,	,	PUNCT
brj-22439	130	10	”	"	PUNCT
brj-22439	130	11	bioresources	bioresource	NOUN
brj-22439	130	12	18(3	18(3	NUM
brj-22439	130	13	)	)	PUNCT
brj-22439	130	14	,	,	PUNCT
brj-22439	130	15	4964	4964	NUM
brj-22439	130	16	-	-	SYM
brj-22439	130	17	4976	4976	NUM
brj-22439	130	18	.	.	PUNCT
brj-22439	131	1	4970	4970	NUM
brj-22439	131	2	evaluation	evaluation	NOUN
brj-22439	131	3	metrics	metric	NOUN
brj-22439	131	4	to	to	PART
brj-22439	131	5	quantitatively	quantitatively	ADV
brj-22439	131	6	evaluate	evaluate	VERB
brj-22439	131	7	the	the	DET
brj-22439	131	8	performance	performance	NOUN
brj-22439	131	9	,	,	PUNCT
brj-22439	131	10	the	the	DET
brj-22439	131	11	commonly	commonly	ADV
brj-22439	131	12	used	use	VERB
brj-22439	131	13	metrics	metric	NOUN
brj-22439	131	14	of	of	ADP
brj-22439	131	15	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
brj-22439	131	16	,	,	PUNCT
brj-22439	131	17	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
brj-22439	131	18	𝑅𝑎𝑡𝑒	𝑅𝑎𝑡𝑒	PROPN
brj-22439	131	19	,	,	PUNCT
brj-22439	131	20	and	and	CCONJ
brj-22439	131	21	overall	overall	ADJ
brj-22439	131	22	accuracy	accuracy	NOUN
brj-22439	132	1	𝐹	𝐹	PROPN
brj-22439	132	2	−	−	PROPN
brj-22439	132	3	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
brj-22439	132	4	were	be	AUX
brj-22439	132	5	introduced	introduce	VERB
brj-22439	132	6	in	in	ADP
brj-22439	132	7	this	this	DET
brj-22439	132	8	study	study	NOUN
brj-22439	132	9	.	.	PUNCT
brj-22439	133	1	they	they	PRON
brj-22439	133	2	are	be	AUX
brj-22439	133	3	defined	define	VERB
brj-22439	133	4	as	as	ADP
brj-22439	133	5	follows	follow	VERB
brj-22439	133	6	(	(	PUNCT
brj-22439	133	7	goutte	goutte	NOUN
brj-22439	133	8	and	and	CCONJ
brj-22439	133	9	gaussier	gaussier	NOUN
brj-22439	133	10	2005	2005	NUM
brj-22439	133	11	)	)	PUNCT
brj-22439	133	12	,	,	PUNCT
brj-22439	133	13	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
brj-22439	133	14	(	(	PUNCT
brj-22439	133	15	%	%	INTJ
brj-22439	133	16	)	)	PUNCT
brj-22439	133	17	=	=	SYM
brj-22439	133	18	𝑇𝑃	𝑇𝑃	PROPN
brj-22439	133	19	𝑇𝑃	𝑇𝑃	PROPN
brj-22439	133	20	+	+	CCONJ
brj-22439	133	21	𝐹𝑃	𝐹𝑃	PROPN
brj-22439	133	22	×	×	NOUN
brj-22439	133	23	100	100	NUM
brj-22439	133	24	(	(	PUNCT
brj-22439	133	25	4	4	NUM
brj-22439	133	26	)	)	PUNCT
brj-22439	133	27	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
brj-22439	133	28	𝑅𝑎𝑡𝑒	𝑅𝑎𝑡𝑒	PROPN
brj-22439	133	29	(	(	PUNCT
brj-22439	133	30	%	%	NOUN
brj-22439	133	31	)	)	PUNCT
brj-22439	134	1	=	=	SYM
brj-22439	134	2	𝑇𝑃	𝑇𝑃	PROPN
brj-22439	134	3	𝑇𝑃	𝑇𝑃	PROPN
brj-22439	134	4	+	+	CCONJ
brj-22439	134	5	𝐹𝑁	𝐹𝑁	PROPN
brj-22439	134	6	×	×	NOUN
brj-22439	134	7	100	100	NUM
brj-22439	134	8	(	(	PUNCT
brj-22439	134	9	5	5	NUM
brj-22439	134	10	)	)	PUNCT
brj-22439	134	11	𝐹	𝐹	PROPN
brj-22439	135	1	−	−	PROPN
brj-22439	135	2	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
brj-22439	135	3	(	(	PUNCT
brj-22439	135	4	%	%	NOUN
brj-22439	135	5	)	)	PUNCT
brj-22439	135	6	=	=	SYM
brj-22439	135	7	2	2	NUM
brj-22439	135	8	×	×	NOUN
brj-22439	135	9	(	(	PUNCT
brj-22439	135	10	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
brj-22439	135	11	×	×	NOUN
brj-22439	135	12	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
brj-22439	135	13	𝑅𝑎𝑡𝑒	𝑅𝑎𝑡𝑒	PROPN
brj-22439	135	14	)	)	PUNCT
brj-22439	135	15	(	(	PUNCT
brj-22439	135	16	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
brj-22439	135	17	+	+	CCONJ
brj-22439	135	18	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
brj-22439	135	19	𝑅𝑎𝑡𝑒	𝑅𝑎𝑡𝑒	PROPN
brj-22439	135	20	)	)	PUNCT
brj-22439	135	21	×	×	NOUN
brj-22439	135	22	100	100	NUM
brj-22439	135	23	(	(	PUNCT
brj-22439	135	24	6	6	NUM
brj-22439	135	25	)	)	PUNCT
brj-22439	135	26	where	where	SCONJ
brj-22439	135	27	𝑇𝑃	𝑇𝑃	PROPN
brj-22439	135	28	(	(	PUNCT
brj-22439	135	29	true	true	ADJ
brj-22439	135	30	positive	positive	ADJ
brj-22439	135	31	)	)	PUNCT
brj-22439	135	32	is	be	AUX
brj-22439	135	33	the	the	DET
brj-22439	135	34	number	number	NOUN
brj-22439	135	35	of	of	ADP
brj-22439	135	36	correctly	correctly	ADV
brj-22439	135	37	detected	detect	VERB
brj-22439	135	38	knots	knot	NOUN
brj-22439	135	39	,	,	PUNCT
brj-22439	135	40	𝐹𝑃	𝐹𝑃	PROPN
brj-22439	135	41	(	(	PUNCT
brj-22439	135	42	false	false	ADJ
brj-22439	135	43	positive	positive	ADJ
brj-22439	135	44	)	)	PUNCT
brj-22439	135	45	refers	refer	VERB
brj-22439	135	46	to	to	ADP
brj-22439	135	47	the	the	DET
brj-22439	135	48	number	number	NOUN
brj-22439	135	49	of	of	ADP
brj-22439	135	50	detected	detect	VERB
brj-22439	135	51	results	result	NOUN
brj-22439	135	52	,	,	PUNCT
brj-22439	135	53	which	which	PRON
brj-22439	135	54	were	be	AUX
brj-22439	135	55	marked	mark	VERB
brj-22439	135	56	as	as	ADP
brj-22439	135	57	knots	knot	NOUN
brj-22439	135	58	but	but	CCONJ
brj-22439	135	59	actually	actually	ADV
brj-22439	135	60	did	do	AUX
brj-22439	135	61	not	not	PART
brj-22439	135	62	exist	exist	VERB
brj-22439	135	63	on	on	ADP
brj-22439	135	64	the	the	DET
brj-22439	135	65	timber	timber	NOUN
brj-22439	135	66	surface	surface	NOUN
brj-22439	135	67	,	,	PUNCT
brj-22439	135	68	and	and	CCONJ
brj-22439	135	69	𝐹𝑁	𝐹𝑁	PROPN
brj-22439	135	70	(	(	PUNCT
brj-22439	135	71	false	false	ADJ
brj-22439	135	72	negative	negative	NOUN
brj-22439	135	73	)	)	PUNCT
brj-22439	135	74	indicates	indicate	VERB
brj-22439	135	75	the	the	DET
brj-22439	135	76	number	number	NOUN
brj-22439	135	77	of	of	ADP
brj-22439	135	78	undetected	undetected	ADJ
brj-22439	135	79	knots	knot	NOUN
brj-22439	135	80	(	(	PUNCT
brj-22439	135	81	omission	omission	NOUN
brj-22439	135	82	error	error	NOUN
brj-22439	135	83	)	)	PUNCT
brj-22439	135	84	.	.	PUNCT
brj-22439	136	1	according	accord	VERB
brj-22439	136	2	to	to	ADP
brj-22439	136	3	eq	eq	PROPN
brj-22439	136	4	.	.	PROPN
brj-22439	136	5	4	4	NUM
brj-22439	136	6	,	,	PUNCT
brj-22439	136	7	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
brj-22439	136	8	is	be	AUX
brj-22439	136	9	the	the	DET
brj-22439	136	10	ratio	ratio	NOUN
brj-22439	136	11	of	of	ADP
brj-22439	136	12	correct	correct	ADJ
brj-22439	136	13	detections	detection	NOUN
brj-22439	136	14	to	to	ADP
brj-22439	136	15	all	all	DET
brj-22439	136	16	detection	detection	NOUN
brj-22439	136	17	results	result	NOUN
brj-22439	136	18	.	.	PUNCT
brj-22439	137	1	from	from	ADP
brj-22439	137	2	eq	eq	ADP
brj-22439	137	3	.	.	PROPN
brj-22439	137	4	5	5	NUM
brj-22439	137	5	,	,	PUNCT
brj-22439	137	6	it	it	PRON
brj-22439	137	7	can	can	AUX
brj-22439	137	8	be	be	AUX
brj-22439	137	9	inferred	infer	VERB
brj-22439	137	10	that	that	SCONJ
brj-22439	137	11	the	the	DET
brj-22439	137	12	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
brj-22439	137	13	𝑅𝑎𝑡𝑒	𝑅𝑎𝑡𝑒	PROPN
brj-22439	137	14	is	be	AUX
brj-22439	137	15	an	an	DET
brj-22439	137	16	indication	indication	NOUN
brj-22439	137	17	of	of	ADP
brj-22439	137	18	omission	omission	NOUN
brj-22439	137	19	errors	error	NOUN
brj-22439	137	20	.	.	PUNCT
brj-22439	138	1	𝐹	𝐹	PRON
brj-22439	139	1	−	−	PROPN
brj-22439	139	2	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
brj-22439	139	3	is	be	AUX
brj-22439	139	4	essentially	essentially	ADV
brj-22439	139	5	the	the	DET
brj-22439	139	6	harmonic	harmonic	ADJ
brj-22439	139	7	mean	mean	NOUN
brj-22439	139	8	of	of	ADP
brj-22439	139	9	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
brj-22439	139	10	and	and	CCONJ
brj-22439	139	11	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
brj-22439	139	12	𝑅𝑎𝑡𝑒	𝑅𝑎𝑡𝑒	PROPN
brj-22439	139	13	.	.	PUNCT
brj-22439	140	1	it	it	PRON
brj-22439	140	2	combines	combine	VERB
brj-22439	140	3	the	the	DET
brj-22439	140	4	two	two	NUM
brj-22439	140	5	indicators	indicator	NOUN
brj-22439	140	6	into	into	ADP
brj-22439	140	7	a	a	DET
brj-22439	140	8	single	single	ADJ
brj-22439	140	9	indicator	indicator	NOUN
brj-22439	140	10	that	that	PRON
brj-22439	140	11	captures	capture	VERB
brj-22439	140	12	both	both	DET
brj-22439	140	13	properties	property	NOUN
brj-22439	140	14	.	.	PUNCT
brj-22439	141	1	a	a	DET
brj-22439	141	2	higher	high	ADJ
brj-22439	141	3	𝐹	𝐹	PROPN
brj-22439	141	4	−	−	PROPN
brj-22439	141	5	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
brj-22439	141	6	indicates	indicate	VERB
brj-22439	141	7	a	a	DET
brj-22439	141	8	more	more	ADV
brj-22439	141	9	accurate	accurate	ADJ
brj-22439	141	10	model	model	NOUN
brj-22439	141	11	.	.	PUNCT
brj-22439	142	1	results	result	NOUN
brj-22439	142	2	and	and	CCONJ
brj-22439	142	3	discussion	discussion	NOUN
brj-22439	142	4	experimental	experimental	ADJ
brj-22439	142	5	configuration	configuration	NOUN
brj-22439	142	6	all	all	DET
brj-22439	142	7	the	the	DET
brj-22439	142	8	experiments	experiment	NOUN
brj-22439	142	9	were	be	AUX
brj-22439	142	10	conducted	conduct	VERB
brj-22439	142	11	using	use	VERB
brj-22439	142	12	a	a	DET
brj-22439	142	13	windows	window	NOUN
brj-22439	142	14	10	10	NUM
brj-22439	142	15	64	64	NUM
brj-22439	142	16	-	-	PUNCT
brj-22439	142	17	bit	bit	NOUN
brj-22439	142	18	operation	operation	NOUN
brj-22439	142	19	system	system	NOUN
brj-22439	142	20	,	,	PUNCT
brj-22439	142	21	along	along	ADP
brj-22439	142	22	with	with	ADP
brj-22439	142	23	cuda	cuda	NOUN
brj-22439	142	24	10.2	10.2	NUM
brj-22439	142	25	and	and	CCONJ
brj-22439	142	26	cudnn	cudnn	NOUN
brj-22439	142	27	7.6.5	7.6.5	NUM
brj-22439	142	28	under	under	ADP
brj-22439	142	29	python	python	NOUN
brj-22439	142	30	3.7.6	3.7.6	NUM
brj-22439	142	31	.	.	PUNCT
brj-22439	143	1	the	the	DET
brj-22439	143	2	hardware	hardware	NOUN
brj-22439	143	3	platform	platform	NOUN
brj-22439	143	4	is	be	AUX
brj-22439	143	5	built	build	VERB
brj-22439	143	6	using	use	VERB
brj-22439	143	7	a	a	DET
brj-22439	143	8	server	server	NOUN
brj-22439	143	9	with	with	ADP
brj-22439	143	10	an	an	DET
brj-22439	143	11	intel	intel	PROPN
brj-22439	143	12	i5	i5	PROPN
brj-22439	143	13	-	-	PUNCT
brj-22439	143	14	7500	7500	NUM
brj-22439	143	15	3.4	3.4	NUM
brj-22439	143	16	ghz	ghz	NOUN
brj-22439	143	17	quad	quad	NOUN
brj-22439	143	18	-	-	PUNCT
brj-22439	143	19	core	core	NOUN
brj-22439	143	20	processor	processor	NOUN
brj-22439	143	21	,	,	PUNCT
brj-22439	143	22	16	16	NUM
brj-22439	143	23	gb	gb	NOUN
brj-22439	143	24	memory	memory	NOUN
brj-22439	143	25	,	,	PUNCT
brj-22439	143	26	and	and	CCONJ
brj-22439	143	27	an	an	DET
brj-22439	143	28	nvidia	nvidia	PROPN
brj-22439	143	29	geforce	geforce	NOUN
brj-22439	143	30	rtx	rtx	PROPN
brj-22439	143	31	2060	2060	NUM
brj-22439	143	32	6	6	NUM
brj-22439	143	33	gb	gb	NOUN
brj-22439	143	34	card	card	NOUN
brj-22439	143	35	.	.	PUNCT
brj-22439	144	1	the	the	DET
brj-22439	144	2	dataset	dataset	NOUN
brj-22439	144	3	was	be	AUX
brj-22439	144	4	randomly	randomly	ADV
brj-22439	144	5	divided	divide	VERB
brj-22439	144	6	into	into	ADP
brj-22439	144	7	three	three	NUM
brj-22439	144	8	parts	part	NOUN
brj-22439	144	9	:	:	PUNCT
brj-22439	144	10	training	training	NOUN
brj-22439	144	11	,	,	PUNCT
brj-22439	144	12	validation	validation	NOUN
brj-22439	144	13	,	,	PUNCT
brj-22439	144	14	and	and	CCONJ
brj-22439	144	15	testing	testing	NOUN
brj-22439	144	16	sets	set	NOUN
brj-22439	144	17	.	.	PUNCT
brj-22439	145	1	the	the	DET
brj-22439	145	2	training	training	NOUN
brj-22439	145	3	set	set	NOUN
brj-22439	145	4	contained	contain	VERB
brj-22439	145	5	80	80	NUM
brj-22439	145	6	%	%	NOUN
brj-22439	145	7	of	of	ADP
brj-22439	145	8	the	the	DET
brj-22439	145	9	images	image	NOUN
brj-22439	145	10	of	of	ADP
brj-22439	145	11	the	the	DET
brj-22439	145	12	dataset	dataset	NOUN
brj-22439	145	13	and	and	CCONJ
brj-22439	145	14	was	be	AUX
brj-22439	145	15	used	use	VERB
brj-22439	145	16	to	to	PART
brj-22439	145	17	train	train	VERB
brj-22439	145	18	faster	fast	ADV
brj-22439	145	19	r	r	NOUN
brj-22439	145	20	-	-	PUNCT
brj-22439	145	21	cnn	cnn	NOUN
brj-22439	145	22	.	.	PUNCT
brj-22439	146	1	the	the	DET
brj-22439	146	2	validation	validation	NOUN
brj-22439	146	3	and	and	CCONJ
brj-22439	146	4	testing	testing	NOUN
brj-22439	146	5	sets	set	NOUN
brj-22439	146	6	each	each	PRON
brj-22439	146	7	contained	contain	VERB
brj-22439	146	8	10	10	NUM
brj-22439	146	9	%	%	NOUN
brj-22439	146	10	of	of	ADP
brj-22439	146	11	the	the	DET
brj-22439	146	12	images	image	NOUN
brj-22439	146	13	and	and	CCONJ
brj-22439	146	14	were	be	AUX
brj-22439	146	15	used	use	VERB
brj-22439	146	16	for	for	ADP
brj-22439	146	17	validation	validation	NOUN
brj-22439	146	18	and	and	CCONJ
brj-22439	146	19	testing	testing	NOUN
brj-22439	146	20	,	,	PUNCT
brj-22439	146	21	respectively	respectively	ADV
brj-22439	146	22	.	.	PUNCT
brj-22439	147	1	the	the	DET
brj-22439	147	2	end	end	NOUN
brj-22439	147	3	-	-	PUNCT
brj-22439	147	4	to	to	ADP
brj-22439	147	5	-	-	PUNCT
brj-22439	147	6	end	end	NOUN
brj-22439	147	7	mode	mode	NOUN
brj-22439	147	8	was	be	AUX
brj-22439	147	9	used	use	VERB
brj-22439	147	10	to	to	PART
brj-22439	147	11	train	train	VERB
brj-22439	147	12	faster	fast	ADV
brj-22439	147	13	r	r	NOUN
brj-22439	147	14	-	-	PUNCT
brj-22439	147	15	cnn	cnn	NOUN
brj-22439	147	16	.	.	PUNCT
brj-22439	148	1	the	the	DET
brj-22439	148	2	batch	batch	NOUN
brj-22439	148	3	size	size	NOUN
brj-22439	148	4	of	of	ADP
brj-22439	148	5	the	the	DET
brj-22439	148	6	training	training	NOUN
brj-22439	148	7	was	be	AUX
brj-22439	148	8	set	set	VERB
brj-22439	148	9	to	to	ADP
brj-22439	148	10	four	four	NUM
brj-22439	148	11	because	because	SCONJ
brj-22439	148	12	of	of	ADP
brj-22439	148	13	the	the	DET
brj-22439	148	14	limitations	limitation	NOUN
brj-22439	148	15	of	of	ADP
brj-22439	148	16	the	the	DET
brj-22439	148	17	gpu	gpu	PROPN
brj-22439	148	18	.	.	PUNCT
brj-22439	148	19	training	training	NOUN
brj-22439	148	20	was	be	AUX
brj-22439	148	21	optimised	optimise	VERB
brj-22439	148	22	using	use	VERB
brj-22439	148	23	a	a	DET
brj-22439	148	24	stochastic	stochastic	ADJ
brj-22439	148	25	gradient	gradient	ADJ
brj-22439	148	26	descent	descent	NOUN
brj-22439	148	27	algorithm	algorithm	NOUN
brj-22439	148	28	.	.	PUNCT
brj-22439	149	1	the	the	DET
brj-22439	149	2	momentum	momentum	NOUN
brj-22439	149	3	was	be	AUX
brj-22439	149	4	set	set	VERB
brj-22439	149	5	to	to	ADP
brj-22439	149	6	0.9	0.9	NUM
brj-22439	149	7	.	.	PUNCT
brj-22439	150	1	a	a	DET
brj-22439	150	2	learning	learning	NOUN
brj-22439	150	3	rate	rate	NOUN
brj-22439	150	4	scheduler	scheduler	NOUN
brj-22439	150	5	is	be	AUX
brj-22439	150	6	employed	employ	VERB
brj-22439	150	7	to	to	PART
brj-22439	150	8	accelerate	accelerate	VERB
brj-22439	150	9	the	the	DET
brj-22439	150	10	convergence	convergence	NOUN
brj-22439	150	11	of	of	ADP
brj-22439	150	12	the	the	DET
brj-22439	150	13	training	training	NOUN
brj-22439	150	14	.	.	PUNCT
brj-22439	151	1	initially	initially	ADV
brj-22439	151	2	,	,	PUNCT
brj-22439	151	3	a	a	DET
brj-22439	151	4	learning	learn	VERB
brj-22439	151	5	rate	rate	NOUN
brj-22439	151	6	of	of	ADP
brj-22439	151	7	0.001	0.001	NUM
brj-22439	151	8	was	be	AUX
brj-22439	151	9	selected	select	VERB
brj-22439	151	10	.	.	PUNCT
brj-22439	152	1	after	after	ADP
brj-22439	152	2	40000	40000	NUM
brj-22439	152	3	iterations	iteration	NOUN
brj-22439	152	4	,	,	PUNCT
brj-22439	152	5	the	the	DET
brj-22439	152	6	learning	learning	NOUN
brj-22439	152	7	rate	rate	NOUN
brj-22439	152	8	was	be	AUX
brj-22439	152	9	changed	change	VERB
brj-22439	152	10	to	to	ADP
brj-22439	152	11	0.0001	0.0001	NUM
brj-22439	152	12	and	and	CCONJ
brj-22439	152	13	was	be	AUX
brj-22439	152	14	further	far	ADV
brj-22439	152	15	adjusted	adjust	VERB
brj-22439	152	16	to	to	ADP
brj-22439	152	17	0.00001	0.00001	NUM
brj-22439	152	18	after	after	ADP
brj-22439	152	19	80000	80000	NUM
brj-22439	152	20	iterations	iteration	NOUN
brj-22439	152	21	.	.	PUNCT
brj-22439	153	1	training	training	NOUN
brj-22439	153	2	was	be	AUX
brj-22439	153	3	complete	complete	ADJ
brj-22439	153	4	after	after	ADP
brj-22439	153	5	100000	100000	NUM
brj-22439	153	6	iterations	iteration	NOUN
brj-22439	153	7	.	.	PUNCT
brj-22439	154	1	the	the	DET
brj-22439	154	2	weights	weight	NOUN
brj-22439	154	3	are	be	AUX
brj-22439	154	4	saved	save	VERB
brj-22439	154	5	and	and	CCONJ
brj-22439	154	6	used	use	VERB
brj-22439	154	7	to	to	PART
brj-22439	154	8	verify	verify	VERB
brj-22439	154	9	the	the	DET
brj-22439	154	10	proposed	propose	VERB
brj-22439	154	11	framework	framework	NOUN
brj-22439	154	12	.	.	PUNCT
brj-22439	155	1	detection	detection	NOUN
brj-22439	155	2	results	result	NOUN
brj-22439	155	3	of	of	ADP
brj-22439	155	4	faster	fast	ADJ
brj-22439	155	5	r	r	NOUN
brj-22439	155	6	-	-	PUNCT
brj-22439	155	7	cnn	cnn	NOUN
brj-22439	155	8	the	the	DET
brj-22439	155	9	images	image	NOUN
brj-22439	155	10	in	in	ADP
brj-22439	155	11	the	the	DET
brj-22439	155	12	testing	testing	NOUN
brj-22439	155	13	set	set	VERB
brj-22439	155	14	were	be	AUX
brj-22439	155	15	applied	apply	VERB
brj-22439	155	16	to	to	ADP
brj-22439	155	17	the	the	DET
brj-22439	155	18	trained	train	VERB
brj-22439	155	19	faster	fast	ADJ
brj-22439	155	20	r	r	NOUN
brj-22439	155	21	-	-	PUNCT
brj-22439	155	22	cnn	cnn	PROPN
brj-22439	155	23	model	model	NOUN
brj-22439	155	24	.	.	PUNCT
brj-22439	156	1	in	in	ADP
brj-22439	156	2	the	the	DET
brj-22439	156	3	output	output	NOUN
brj-22439	156	4	images	image	NOUN
brj-22439	156	5	,	,	PUNCT
brj-22439	156	6	the	the	DET
brj-22439	156	7	detected	detect	VERB
brj-22439	156	8	knots	knot	NOUN
brj-22439	156	9	were	be	AUX
brj-22439	156	10	labelled	label	VERB
brj-22439	156	11	with	with	ADP
brj-22439	156	12	a	a	DET
brj-22439	156	13	bounding	bounding	NOUN
brj-22439	156	14	box	box	NOUN
brj-22439	156	15	.	.	PUNCT
brj-22439	157	1	figure	figure	NOUN
brj-22439	157	2	6	6	NUM
brj-22439	157	3	shows	show	VERB
brj-22439	157	4	the	the	DET
brj-22439	157	5	typical	typical	ADJ
brj-22439	157	6	detection	detection	NOUN
brj-22439	157	7	results	result	VERB
brj-22439	157	8	.	.	PUNCT
brj-22439	158	1	the	the	DET
brj-22439	158	2	confidence	confidence	NOUN
brj-22439	158	3	coefficient	coefficient	NOUN
brj-22439	158	4	is	be	AUX
brj-22439	158	5	shown	show	VERB
brj-22439	158	6	near	near	ADP
brj-22439	158	7	the	the	DET
brj-22439	158	8	box	box	NOUN
brj-22439	158	9	with	with	ADP
brj-22439	158	10	an	an	DET
brj-22439	158	11	arrow	arrow	NOUN
brj-22439	158	12	.	.	PUNCT
brj-22439	159	1	peer	peer	NOUN
brj-22439	159	2	-	-	PUNCT
brj-22439	159	3	reviewed	review	VERB
brj-22439	159	4	article	article	NOUN
brj-22439	159	5	bioresources.com	bioresources.com	X
brj-22439	159	6	chen	chen	PROPN
brj-22439	159	7	et	et	PROPN
brj-22439	159	8	al	al	PROPN
brj-22439	159	9	.	.	PROPN
brj-22439	159	10	(	(	PUNCT
brj-22439	159	11	2023	2023	NUM
brj-22439	159	12	)	)	PUNCT
brj-22439	159	13	.	.	PUNCT
brj-22439	160	1	“	"	PUNCT
brj-22439	160	2	timber	timber	NOUN
brj-22439	160	3	knot	knot	NOUN
brj-22439	160	4	detector	detector	NOUN
brj-22439	160	5	with	with	ADP
brj-22439	160	6	r	r	NOUN
brj-22439	160	7	-	-	PUNCT
brj-22439	160	8	cnn	cnn	PROPN
brj-22439	160	9	,	,	PUNCT
brj-22439	160	10	”	"	PUNCT
brj-22439	160	11	bioresources	bioresource	NOUN
brj-22439	160	12	18(3	18(3	NUM
brj-22439	160	13	)	)	PUNCT
brj-22439	160	14	,	,	PUNCT
brj-22439	160	15	4964	4964	NUM
brj-22439	160	16	-	-	SYM
brj-22439	160	17	4976	4976	NUM
brj-22439	160	18	.	.	PUNCT
brj-22439	161	1	4971	4971	NUM
brj-22439	161	2	evidently	evidently	ADV
brj-22439	161	3	,	,	PUNCT
brj-22439	161	4	most	most	ADJ
brj-22439	161	5	knot	knot	ADJ
brj-22439	161	6	defects	defect	NOUN
brj-22439	161	7	can	can	AUX
brj-22439	161	8	be	be	AUX
brj-22439	161	9	detected	detect	VERB
brj-22439	161	10	accurately	accurately	ADV
brj-22439	161	11	.	.	PUNCT
brj-22439	162	1	some	some	DET
brj-22439	162	2	knots	knot	NOUN
brj-22439	162	3	featured	feature	VERB
brj-22439	162	4	a	a	DET
brj-22439	162	5	distinctly	distinctly	ADV
brj-22439	162	6	different	different	ADJ
brj-22439	162	7	color	color	NOUN
brj-22439	162	8	or	or	CCONJ
brj-22439	162	9	a	a	DET
brj-22439	162	10	different	different	ADJ
brj-22439	162	11	grain	grain	NOUN
brj-22439	162	12	pattern	pattern	NOUN
brj-22439	162	13	,	,	PUNCT
brj-22439	162	14	as	as	SCONJ
brj-22439	162	15	shown	show	VERB
brj-22439	162	16	in	in	ADP
brj-22439	162	17	fig	fig	NOUN
brj-22439	162	18	.	.	PUNCT
brj-22439	163	1	6(a	6(a	NUM
brj-22439	163	2	)	)	PUNCT
brj-22439	163	3	.	.	PUNCT
brj-22439	164	1	faster	fast	ADV
brj-22439	164	2	r	r	X
brj-22439	164	3	-	-	PUNCT
brj-22439	164	4	cnn	cnn	PROPN
brj-22439	164	5	could	could	AUX
brj-22439	164	6	detect	detect	VERB
brj-22439	164	7	them	they	PRON
brj-22439	164	8	with	with	ADP
brj-22439	164	9	high	high	ADJ
brj-22439	164	10	confidence	confidence	NOUN
brj-22439	164	11	coefficients	coefficient	NOUN
brj-22439	164	12	.	.	PUNCT
brj-22439	165	1	moreover	moreover	ADV
brj-22439	165	2	,	,	PUNCT
brj-22439	165	3	faster	fast	ADV
brj-22439	165	4	r	r	NOUN
brj-22439	165	5	-	-	PUNCT
brj-22439	165	6	cnn	cnn	PROPN
brj-22439	165	7	can	can	AUX
brj-22439	165	8	achieve	achieve	VERB
brj-22439	165	9	good	good	ADJ
brj-22439	165	10	performance	performance	NOUN
brj-22439	165	11	in	in	ADP
brj-22439	165	12	detecting	detect	VERB
brj-22439	165	13	sound	sound	ADJ
brj-22439	165	14	knots	knot	NOUN
brj-22439	165	15	,	,	PUNCT
brj-22439	165	16	pin	pin	NOUN
brj-22439	165	17	knots	knot	NOUN
brj-22439	165	18	,	,	PUNCT
brj-22439	165	19	and	and	CCONJ
brj-22439	165	20	edge	edge	NOUN
brj-22439	165	21	knots	knot	NOUN
brj-22439	165	22	,	,	PUNCT
brj-22439	165	23	as	as	SCONJ
brj-22439	165	24	shown	show	VERB
brj-22439	165	25	in	in	ADP
brj-22439	165	26	figs	fig	NOUN
brj-22439	165	27	.	.	PUNCT
brj-22439	166	1	6(b	6(b	NUM
brj-22439	166	2	)	)	PUNCT
brj-22439	166	3	to	to	ADP
brj-22439	166	4	6(e	6(e	NUM
brj-22439	166	5	)	)	PUNCT
brj-22439	166	6	.	.	PUNCT
brj-22439	167	1	(	(	PUNCT
brj-22439	167	2	a	a	X
brj-22439	167	3	)	)	PUNCT
brj-22439	167	4	(	(	PUNCT
brj-22439	167	5	b	b	X
brj-22439	167	6	)	)	PUNCT
brj-22439	167	7	(	(	PUNCT
brj-22439	167	8	c	c	X
brj-22439	167	9	)	)	PUNCT
brj-22439	167	10	(	(	PUNCT
brj-22439	167	11	d	d	X
brj-22439	167	12	)	)	PUNCT
brj-22439	167	13	(	(	PUNCT
brj-22439	167	14	e	e	NOUN
brj-22439	167	15	)	)	PUNCT
brj-22439	167	16	(	(	PUNCT
brj-22439	167	17	f	f	X
brj-22439	167	18	)	)	PUNCT
brj-22439	167	19	(	(	PUNCT
brj-22439	167	20	g	g	NOUN
brj-22439	167	21	)	)	PUNCT
brj-22439	167	22	(	(	PUNCT
brj-22439	167	23	h	h	NOUN
brj-22439	167	24	)	)	PUNCT
brj-22439	167	25	fig	fig	NOUN
brj-22439	167	26	.	.	PUNCT
brj-22439	168	1	6	6	NUM
brj-22439	168	2	.	.	X
brj-22439	169	1	some	some	DET
brj-22439	169	2	typical	typical	ADJ
brj-22439	169	3	detection	detection	NOUN
brj-22439	169	4	results	result	NOUN
brj-22439	169	5	of	of	ADP
brj-22439	169	6	faster	fast	ADJ
brj-22439	169	7	r	r	NOUN
brj-22439	169	8	-	-	PUNCT
brj-22439	169	9	cnn	cnn	PROPN
brj-22439	169	10	however	however	ADV
brj-22439	169	11	,	,	PUNCT
brj-22439	169	12	there	there	PRON
brj-22439	169	13	are	be	VERB
brj-22439	169	14	shortcomings	shortcoming	NOUN
brj-22439	169	15	while	while	SCONJ
brj-22439	169	16	detecting	detect	VERB
brj-22439	169	17	some	some	DET
brj-22439	169	18	special	special	ADJ
brj-22439	169	19	knots	knot	NOUN
brj-22439	169	20	only	only	ADV
brj-22439	169	21	using	use	VERB
brj-22439	169	22	faster	fast	ADJ
brj-22439	169	23	r	r	NOUN
brj-22439	169	24	-	-	PUNCT
brj-22439	169	25	cnn	cnn	NOUN
brj-22439	169	26	.	.	PUNCT
brj-22439	170	1	the	the	DET
brj-22439	170	2	torn	torn	ADJ
brj-22439	170	3	grain	grain	NOUN
brj-22439	170	4	of	of	ADP
brj-22439	170	5	timber	timber	NOUN
brj-22439	170	6	was	be	AUX
brj-22439	170	7	sometimes	sometimes	ADV
brj-22439	170	8	marked	mark	VERB
brj-22439	170	9	as	as	ADP
brj-22439	170	10	a	a	DET
brj-22439	170	11	knot	knot	NOUN
brj-22439	170	12	,	,	PUNCT
brj-22439	170	13	as	as	SCONJ
brj-22439	170	14	illustrated	illustrate	VERB
brj-22439	170	15	in	in	ADP
brj-22439	170	16	fig	fig	NOUN
brj-22439	170	17	.	.	PUNCT
brj-22439	171	1	6(f	6(f	NUM
brj-22439	171	2	)	)	PUNCT
brj-22439	171	3	.	.	PUNCT
brj-22439	172	1	additionally	additionally	ADV
brj-22439	172	2	,	,	PUNCT
brj-22439	172	3	one	one	NUM
brj-22439	172	4	actual	actual	ADJ
brj-22439	172	5	knot	knot	NOUN
brj-22439	172	6	is	be	AUX
brj-22439	172	7	often	often	ADV
brj-22439	172	8	labelled	label	VERB
brj-22439	172	9	two	two	NUM
brj-22439	172	10	or	or	CCONJ
brj-22439	172	11	more	more	ADJ
brj-22439	172	12	times	time	NOUN
brj-22439	172	13	,	,	PUNCT
brj-22439	172	14	as	as	SCONJ
brj-22439	172	15	shown	show	VERB
brj-22439	172	16	in	in	ADP
brj-22439	172	17	figs	fig	NOUN
brj-22439	172	18	.	.	PUNCT
brj-22439	173	1	6(g	6(g	NUM
brj-22439	173	2	)	)	PUNCT
brj-22439	173	3	and	and	CCONJ
brj-22439	173	4	6(h	6(h	NUM
brj-22439	173	5	)	)	PUNCT
brj-22439	173	6	.	.	PUNCT
brj-22439	174	1	the	the	DET
brj-22439	174	2	number	number	NOUN
brj-22439	174	3	of	of	ADP
brj-22439	174	4	surface	surface	NOUN
brj-22439	174	5	knots	knot	NOUN
brj-22439	174	6	is	be	AUX
brj-22439	174	7	an	an	DET
brj-22439	174	8	important	important	ADJ
brj-22439	174	9	factor	factor	NOUN
brj-22439	174	10	for	for	ADP
brj-22439	174	11	predicting	predict	VERB
brj-22439	174	12	the	the	DET
brj-22439	174	13	timber	timber	NOUN
brj-22439	174	14	grade	grade	NOUN
brj-22439	174	15	in	in	ADP
brj-22439	174	16	automatic	automatic	ADJ
brj-22439	174	17	wood	wood	NOUN
brj-22439	174	18	grading	grading	NOUN
brj-22439	174	19	.	.	PUNCT
brj-22439	175	1	if	if	SCONJ
brj-22439	175	2	a	a	DET
brj-22439	175	3	knot	knot	NOUN
brj-22439	175	4	is	be	AUX
brj-22439	175	5	identified	identify	VERB
brj-22439	175	6	several	several	ADJ
brj-22439	175	7	times	time	NOUN
brj-22439	175	8	,	,	PUNCT
brj-22439	175	9	it	it	PRON
brj-22439	175	10	will	will	AUX
brj-22439	175	11	lead	lead	VERB
brj-22439	175	12	to	to	ADP
brj-22439	175	13	a	a	DET
brj-22439	175	14	decline	decline	NOUN
brj-22439	175	15	in	in	ADP
brj-22439	175	16	the	the	DET
brj-22439	175	17	grade	grade	NOUN
brj-22439	175	18	and	and	CCONJ
brj-22439	175	19	commercial	commercial	ADJ
brj-22439	175	20	value	value	NOUN
brj-22439	175	21	of	of	ADP
brj-22439	175	22	the	the	DET
brj-22439	175	23	graded	grade	VERB
brj-22439	175	24	timber	timber	NOUN
brj-22439	175	25	.	.	PUNCT
brj-22439	176	1	table	table	NOUN
brj-22439	176	2	1	1	NUM
brj-22439	176	3	presents	present	VERB
brj-22439	176	4	the	the	DET
brj-22439	176	5	results	result	NOUN
brj-22439	176	6	of	of	ADP
brj-22439	176	7	the	the	DET
brj-22439	176	8	quantitative	quantitative	ADJ
brj-22439	176	9	assessment	assessment	NOUN
brj-22439	176	10	.	.	PUNCT
brj-22439	177	1	consistent	consistent	ADJ
brj-22439	177	2	with	with	ADP
brj-22439	177	3	the	the	DET
brj-22439	177	4	visual	visual	ADJ
brj-22439	177	5	evaluation	evaluation	NOUN
brj-22439	177	6	,	,	PUNCT
brj-22439	177	7	faster	fast	ADV
brj-22439	177	8	r	r	X
brj-22439	177	9	-	-	PUNCT
brj-22439	177	10	cnn	cnn	NOUN
brj-22439	177	11	correctly	correctly	ADV
brj-22439	177	12	identified	identify	VERB
brj-22439	177	13	most	most	ADJ
brj-22439	177	14	knots	knot	NOUN
brj-22439	177	15	.	.	PUNCT
brj-22439	178	1	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
brj-22439	178	2	,	,	PUNCT
brj-22439	178	3	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
brj-22439	178	4	𝑅𝑎𝑡𝑒	𝑅𝑎𝑡𝑒	PROPN
brj-22439	178	5	,	,	PUNCT
brj-22439	178	6	and	and	CCONJ
brj-22439	178	7	𝐹	𝐹	PROPN
brj-22439	178	8	−	−	PROPN
brj-22439	178	9	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
brj-22439	178	10	were	be	AUX
brj-22439	178	11	high	high	ADJ
brj-22439	178	12	for	for	ADP
brj-22439	178	13	all	all	DET
brj-22439	178	14	three	three	NUM
brj-22439	178	15	sets	set	NOUN
brj-22439	178	16	.	.	PUNCT
brj-22439	179	1	however	however	ADV
brj-22439	179	2	,	,	PUNCT
brj-22439	179	3	the	the	DET
brj-22439	179	4	false	false	ADJ
brj-22439	179	5	positives	positive	NOUN
brj-22439	179	6	lead	lead	VERB
brj-22439	179	7	to	to	ADP
brj-22439	179	8	a	a	DET
brj-22439	179	9	significant	significant	ADJ
brj-22439	179	10	performance	performance	NOUN
brj-22439	179	11	drop	drop	NOUN
brj-22439	179	12	in	in	ADP
brj-22439	179	13	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛.	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛.	NOUN
brj-22439	179	14	in	in	ADP
brj-22439	179	15	the	the	DET
brj-22439	179	16	test	test	NOUN
brj-22439	179	17	set	set	VERB
brj-22439	179	18	detection	detection	NOUN
brj-22439	179	19	experiment	experiment	NOUN
brj-22439	179	20	,	,	PUNCT
brj-22439	179	21	four	four	NUM
brj-22439	179	22	false	false	ADJ
brj-22439	179	23	positives	positive	NOUN
brj-22439	179	24	appeared	appear	VERB
brj-22439	179	25	,	,	PUNCT
brj-22439	179	26	and	and	CCONJ
brj-22439	179	27	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
brj-22439	179	28	was	be	AUX
brj-22439	179	29	only	only	ADV
brj-22439	179	30	90.9	90.9	NUM
brj-22439	179	31	%	%	NOUN
brj-22439	179	32	.	.	PUNCT
brj-22439	180	1	as	as	SCONJ
brj-22439	180	2	mentioned	mention	VERB
brj-22439	180	3	before	before	ADV
brj-22439	180	4	,	,	PUNCT
brj-22439	180	5	false	false	ADJ
brj-22439	180	6	positives	positive	NOUN
brj-22439	180	7	have	have	VERB
brj-22439	180	8	a	a	DET
brj-22439	180	9	significant	significant	ADJ
brj-22439	180	10	negative	negative	ADJ
brj-22439	180	11	impact	impact	NOUN
brj-22439	180	12	on	on	ADP
brj-22439	180	13	the	the	DET
brj-22439	180	14	grade	grade	NOUN
brj-22439	180	15	and	and	CCONJ
brj-22439	180	16	commercial	commercial	ADJ
brj-22439	180	17	value	value	NOUN
brj-22439	180	18	of	of	ADP
brj-22439	180	19	the	the	DET
brj-22439	180	20	graded	grade	VERB
brj-22439	180	21	timber	timber	NOUN
brj-22439	180	22	.	.	PUNCT
brj-22439	181	1	therefore	therefore	ADV
brj-22439	181	2	,	,	PUNCT
brj-22439	181	3	reducing	reduce	VERB
brj-22439	181	4	false	false	ADJ
brj-22439	181	5	positives	positive	NOUN
brj-22439	181	6	of	of	ADP
brj-22439	181	7	knot	knot	ADJ
brj-22439	181	8	detection	detection	NOUN
brj-22439	181	9	becomes	become	VERB
brj-22439	181	10	an	an	DET
brj-22439	181	11	urgent	urgent	ADJ
brj-22439	181	12	problem	problem	NOUN
brj-22439	181	13	for	for	ADP
brj-22439	181	14	the	the	DET
brj-22439	181	15	timber	timber	NOUN
brj-22439	181	16	grading	grade	VERB
brj-22439	181	17	.	.	PUNCT
brj-22439	182	1	table	table	NOUN
brj-22439	182	2	1	1	NUM
brj-22439	182	3	.	.	PUNCT
brj-22439	183	1	detection	detection	NOUN
brj-22439	183	2	performance	performance	NOUN
brj-22439	183	3	of	of	ADP
brj-22439	183	4	faster	fast	ADJ
brj-22439	183	5	r	r	NOUN
brj-22439	183	6	-	-	PUNCT
brj-22439	183	7	cnn	cnn	PROPN
brj-22439	183	8	model	model	NOUN
brj-22439	183	9	data	datum	NOUN
brj-22439	183	10	set	set	VERB
brj-22439	183	11	tp	tp	ADP
brj-22439	183	12	fp	fp	PROPN
brj-22439	183	13	fn	fn	NOUN
brj-22439	184	1	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
brj-22439	184	2	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
brj-22439	184	3	𝑅𝑎𝑡𝑒	𝑅𝑎𝑡𝑒	PROPN
brj-22439	184	4	𝐹	𝐹	PROPN
brj-22439	184	5	−	−	PROPN
brj-22439	184	6	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	NOUN
brj-22439	184	7	training	training	NOUN
brj-22439	184	8	set	set	VERB
brj-22439	184	9	285	285	NUM
brj-22439	184	10	20	20	NUM
brj-22439	184	11	2	2	NUM
brj-22439	184	12	93.4	93.4	NUM
brj-22439	184	13	%	%	NOUN
brj-22439	184	14	99.3	99.3	NUM
brj-22439	184	15	%	%	NOUN
brj-22439	184	16	96.3	96.3	NUM
brj-22439	184	17	%	%	NOUN
brj-22439	184	18	validation	validation	NOUN
brj-22439	184	19	set	set	VERB
brj-22439	184	20	42	42	NUM
brj-22439	184	21	2	2	NUM
brj-22439	184	22	5	5	NUM
brj-22439	184	23	95.5	95.5	NUM
brj-22439	184	24	%	%	NOUN
brj-22439	184	25	89.4	89.4	NUM
brj-22439	184	26	%	%	NOUN
brj-22439	184	27	92.3	92.3	NUM
brj-22439	184	28	%	%	NOUN
brj-22439	184	29	testing	testing	NOUN
brj-22439	184	30	set	set	VERB
brj-22439	184	31	40	40	NUM
brj-22439	184	32	4	4	NUM
brj-22439	184	33	4	4	NUM
brj-22439	184	34	90.9	90.9	NUM
brj-22439	184	35	%	%	NOUN
brj-22439	184	36	90.9	90.9	NUM
brj-22439	184	37	%	%	NOUN
brj-22439	184	38	90.9	90.9	NUM
brj-22439	184	39	%	%	NOUN
brj-22439	184	40	1.00	1.00	NUM
brj-22439	184	41	1.00	1.00	NUM
brj-22439	184	42	1.00	1.00	NUM
brj-22439	184	43	1.00	1.00	NUM
brj-22439	184	44	1.00	1.00	NUM
brj-22439	184	45	0.99	0.99	NUM
brj-22439	184	46	0.88	0.88	NUM
brj-22439	184	47	1.00	1.00	NUM
brj-22439	184	48	1.00	1.00	NUM
brj-22439	184	49	0.99	0.99	NUM
brj-22439	184	50	1.00	1.00	NUM
brj-22439	184	51	0.82	0.82	NUM
brj-22439	184	52	0.67	0.67	NUM
brj-22439	184	53	peer	peer	NOUN
brj-22439	184	54	-	-	PUNCT
brj-22439	184	55	reviewed	review	VERB
brj-22439	184	56	article	article	NOUN
brj-22439	184	57	bioresources.com	bioresources.com	X
brj-22439	184	58	chen	chen	PROPN
brj-22439	184	59	et	et	PROPN
brj-22439	184	60	al	al	PROPN
brj-22439	184	61	.	.	PROPN
brj-22439	185	1	(	(	PUNCT
brj-22439	185	2	2023	2023	NUM
brj-22439	185	3	)	)	PUNCT
brj-22439	185	4	.	.	PUNCT
brj-22439	186	1	“	"	PUNCT
brj-22439	186	2	timber	timber	NOUN
brj-22439	186	3	knot	knot	NOUN
brj-22439	186	4	detector	detector	NOUN
brj-22439	186	5	with	with	ADP
brj-22439	186	6	r	r	NOUN
brj-22439	186	7	-	-	PUNCT
brj-22439	186	8	cnn	cnn	PROPN
brj-22439	186	9	,	,	PUNCT
brj-22439	186	10	”	"	PUNCT
brj-22439	186	11	bioresources	bioresource	NOUN
brj-22439	186	12	18(3	18(3	NUM
brj-22439	186	13	)	)	PUNCT
brj-22439	186	14	,	,	PUNCT
brj-22439	186	15	4964	4964	NUM
brj-22439	186	16	-	-	SYM
brj-22439	186	17	4976	4976	NUM
brj-22439	186	18	.	.	PUNCT
brj-22439	187	1	4972	4972	NUM
brj-22439	187	2	results	result	NOUN
brj-22439	187	3	of	of	ADP
brj-22439	187	4	the	the	DET
brj-22439	187	5	overlapping	overlap	VERB
brj-22439	187	6	bounding	bounding	NOUN
brj-22439	187	7	box	box	NOUN
brj-22439	187	8	filter	filter	NOUN
brj-22439	187	9	the	the	DET
brj-22439	187	10	output	output	NOUN
brj-22439	187	11	of	of	ADP
brj-22439	187	12	faster	fast	ADJ
brj-22439	187	13	r	r	NOUN
brj-22439	187	14	-	-	PUNCT
brj-22439	187	15	cnn	cnn	PROPN
brj-22439	187	16	was	be	AUX
brj-22439	187	17	applied	apply	VERB
brj-22439	187	18	to	to	ADP
brj-22439	187	19	the	the	DET
brj-22439	187	20	aforementioned	aforementioned	ADJ
brj-22439	187	21	filter	filter	NOUN
brj-22439	187	22	,	,	PUNCT
brj-22439	187	23	together	together	ADV
brj-22439	187	24	with	with	ADP
brj-22439	187	25	the	the	DET
brj-22439	187	26	original	original	ADJ
brj-22439	187	27	image	image	NOUN
brj-22439	187	28	.	.	PUNCT
brj-22439	188	1	figure	figure	NOUN
brj-22439	188	2	7	7	NUM
brj-22439	188	3	shows	show	VERB
brj-22439	188	4	the	the	DET
brj-22439	188	5	results	result	NOUN
brj-22439	188	6	of	of	ADP
brj-22439	188	7	the	the	DET
brj-22439	188	8	images	image	NOUN
brj-22439	188	9	shown	show	VERB
brj-22439	188	10	in	in	ADP
brj-22439	188	11	figs	fig	NOUN
brj-22439	188	12	.	.	PUNCT
brj-22439	189	1	6(f	6(f	NUM
brj-22439	189	2	)	)	PUNCT
brj-22439	189	3	to	to	ADP
brj-22439	189	4	6(h	6(h	NUM
brj-22439	189	5	)	)	PUNCT
brj-22439	189	6	.	.	PUNCT
brj-22439	190	1	as	as	SCONJ
brj-22439	190	2	expected	expect	VERB
brj-22439	190	3	,	,	PUNCT
brj-22439	190	4	the	the	DET
brj-22439	190	5	overlapping	overlap	VERB
brj-22439	190	6	bounding	bounding	NOUN
brj-22439	190	7	boxes	box	NOUN
brj-22439	190	8	were	be	AUX
brj-22439	190	9	removed	remove	VERB
brj-22439	190	10	.	.	PUNCT
brj-22439	191	1	each	each	DET
brj-22439	191	2	knot	knot	NOUN
brj-22439	191	3	was	be	AUX
brj-22439	191	4	labelled	label	VERB
brj-22439	191	5	once	once	ADV
brj-22439	191	6	.	.	PUNCT
brj-22439	192	1	visual	visual	ADJ
brj-22439	192	2	evaluation	evaluation	NOUN
brj-22439	192	3	indicated	indicate	VERB
brj-22439	192	4	that	that	SCONJ
brj-22439	192	5	the	the	DET
brj-22439	192	6	proposed	propose	VERB
brj-22439	192	7	method	method	NOUN
brj-22439	192	8	is	be	AUX
brj-22439	192	9	effective	effective	ADJ
brj-22439	192	10	.	.	PUNCT
brj-22439	193	1	table	table	NOUN
brj-22439	193	2	2	2	NUM
brj-22439	193	3	lists	list	VERB
brj-22439	193	4	the	the	DET
brj-22439	193	5	quantitative	quantitative	ADJ
brj-22439	193	6	evaluation	evaluation	NOUN
brj-22439	193	7	of	of	ADP
brj-22439	193	8	the	the	DET
brj-22439	193	9	filter	filter	NOUN
brj-22439	193	10	’s	’s	PART
brj-22439	193	11	performance	performance	NOUN
brj-22439	193	12	.	.	PUNCT
brj-22439	194	1	compared	compare	VERB
brj-22439	194	2	with	with	ADP
brj-22439	194	3	table	table	NOUN
brj-22439	194	4	1	1	NUM
brj-22439	194	5	,	,	PUNCT
brj-22439	194	6	the	the	DET
brj-22439	194	7	false	false	ADJ
brj-22439	194	8	positives	positive	NOUN
brj-22439	194	9	were	be	AUX
brj-22439	194	10	reduced	reduce	VERB
brj-22439	194	11	significantly	significantly	ADV
brj-22439	194	12	when	when	SCONJ
brj-22439	194	13	overlapping	overlap	VERB
brj-22439	194	14	boxes	box	NOUN
brj-22439	194	15	were	be	AUX
brj-22439	194	16	merged	merge	VERB
brj-22439	194	17	.	.	PUNCT
brj-22439	195	1	when	when	SCONJ
brj-22439	195	2	the	the	DET
brj-22439	195	3	filter	filter	NOUN
brj-22439	195	4	was	be	AUX
brj-22439	195	5	applied	apply	VERB
brj-22439	195	6	to	to	ADP
brj-22439	195	7	the	the	DET
brj-22439	195	8	intermediate	intermediate	ADJ
brj-22439	195	9	results	result	NOUN
brj-22439	195	10	of	of	ADP
brj-22439	195	11	the	the	DET
brj-22439	195	12	training	training	NOUN
brj-22439	195	13	set	set	NOUN
brj-22439	195	14	,	,	PUNCT
brj-22439	195	15	the	the	DET
brj-22439	195	16	false	false	ADJ
brj-22439	195	17	positives	positive	NOUN
brj-22439	195	18	reduced	reduce	VERB
brj-22439	195	19	from	from	ADP
brj-22439	195	20	20	20	NUM
brj-22439	195	21	to	to	PART
brj-22439	195	22	1	1	NUM
brj-22439	195	23	.	.	PUNCT
brj-22439	195	24	similar	similar	ADJ
brj-22439	195	25	phenomena	phenomenon	NOUN
brj-22439	195	26	can	can	AUX
brj-22439	195	27	be	be	AUX
brj-22439	195	28	observed	observe	VERB
brj-22439	195	29	in	in	ADP
brj-22439	195	30	the	the	DET
brj-22439	195	31	experiments	experiment	NOUN
brj-22439	195	32	on	on	ADP
brj-22439	195	33	the	the	DET
brj-22439	195	34	other	other	ADJ
brj-22439	195	35	two	two	NUM
brj-22439	195	36	sets	set	NOUN
brj-22439	195	37	.	.	PUNCT
brj-22439	196	1	as	as	ADP
brj-22439	196	2	a	a	DET
brj-22439	196	3	result	result	NOUN
brj-22439	196	4	,	,	PUNCT
brj-22439	196	5	the	the	DET
brj-22439	196	6	values	value	NOUN
brj-22439	196	7	of	of	ADP
brj-22439	196	8	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
brj-22439	196	9	and	and	CCONJ
brj-22439	196	10	𝐹	𝐹	PROPN
brj-22439	196	11	−	−	PROPN
brj-22439	196	12	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
brj-22439	196	13	on	on	ADP
brj-22439	196	14	three	three	NUM
brj-22439	196	15	data	datum	NOUN
brj-22439	196	16	sets	set	NOUN
brj-22439	196	17	were	be	AUX
brj-22439	196	18	improved	improve	VERB
brj-22439	196	19	significantly	significantly	ADV
brj-22439	196	20	.	.	PUNCT
brj-22439	197	1	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
brj-22439	197	2	for	for	ADP
brj-22439	197	3	the	the	DET
brj-22439	197	4	training	training	NOUN
brj-22439	197	5	,	,	PUNCT
brj-22439	197	6	validation	validation	NOUN
brj-22439	197	7	,	,	PUNCT
brj-22439	197	8	and	and	CCONJ
brj-22439	197	9	test	test	NOUN
brj-22439	197	10	sets	set	NOUN
brj-22439	197	11	increased	increase	VERB
brj-22439	197	12	6.75	6.75	NUM
brj-22439	197	13	%	%	NOUN
brj-22439	197	14	,	,	PUNCT
brj-22439	197	15	4.71	4.71	NUM
brj-22439	197	16	%	%	NOUN
brj-22439	197	17	,	,	PUNCT
brj-22439	197	18	and	and	CCONJ
brj-22439	197	19	7.26	7.26	NUM
brj-22439	197	20	%	%	NOUN
brj-22439	197	21	,	,	PUNCT
brj-22439	197	22	respectively	respectively	ADV
brj-22439	197	23	.	.	PUNCT
brj-22439	198	1	(	(	PUNCT
brj-22439	198	2	a	a	DET
brj-22439	198	3	)	)	PUNCT
brj-22439	198	4	figure	figure	NOUN
brj-22439	198	5	6(f	6(f	NUM
brj-22439	198	6	)	)	PUNCT
brj-22439	198	7	(	(	PUNCT
brj-22439	198	8	b	b	X
brj-22439	198	9	)	)	PUNCT
brj-22439	198	10	figure	figure	NOUN
brj-22439	198	11	6(g	6(g	NOUN
brj-22439	198	12	)	)	PUNCT
brj-22439	198	13	(	(	PUNCT
brj-22439	198	14	c	c	X
brj-22439	198	15	)	)	PUNCT
brj-22439	198	16	figure	figure	NOUN
brj-22439	198	17	6(h	6(h	NUM
brj-22439	198	18	)	)	PUNCT
brj-22439	198	19	fig	fig	NOUN
brj-22439	198	20	.	.	PUNCT
brj-22439	199	1	7	7	X
brj-22439	199	2	.	.	X
brj-22439	199	3	three	three	NUM
brj-22439	199	4	typical	typical	ADJ
brj-22439	199	5	results	result	NOUN
brj-22439	199	6	of	of	ADP
brj-22439	199	7	the	the	DET
brj-22439	199	8	overlapping	overlap	VERB
brj-22439	199	9	bounding	bounding	NOUN
brj-22439	199	10	box	box	NOUN
brj-22439	199	11	filter	filter	NOUN
brj-22439	199	12	table	table	NOUN
brj-22439	199	13	2	2	NUM
brj-22439	199	14	.	.	PUNCT
brj-22439	199	15	detection	detection	NOUN
brj-22439	199	16	performance	performance	NOUN
brj-22439	199	17	of	of	ADP
brj-22439	199	18	the	the	DET
brj-22439	199	19	overlapping	overlap	VERB
brj-22439	199	20	bounding	bounding	NOUN
brj-22439	199	21	box	box	NOUN
brj-22439	199	22	filter	filter	NOUN
brj-22439	199	23	data	datum	NOUN
brj-22439	199	24	set	set	VERB
brj-22439	199	25	tp	tp	ADP
brj-22439	199	26	fp	fp	PROPN
brj-22439	199	27	fn	fn	NOUN
brj-22439	200	1	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
brj-22439	200	2	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
brj-22439	200	3	𝑅𝑎𝑡𝑒	𝑅𝑎𝑡𝑒	PROPN
brj-22439	200	4	𝐹	𝐹	PROPN
brj-22439	200	5	−	−	PROPN
brj-22439	200	6	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	NOUN
brj-22439	200	7	training	training	NOUN
brj-22439	200	8	set	set	VERB
brj-22439	200	9	285	285	NUM
brj-22439	200	10	1	1	NUM
brj-22439	200	11	2	2	NUM
brj-22439	200	12	99.7	99.7	NUM
brj-22439	200	13	%	%	NOUN
brj-22439	200	14	99.3	99.3	NUM
brj-22439	200	15	%	%	NOUN
brj-22439	200	16	99.5	99.5	NUM
brj-22439	200	17	%	%	NOUN
brj-22439	200	18	validation	validation	NOUN
brj-22439	200	19	set	set	VERB
brj-22439	200	20	42	42	NUM
brj-22439	200	21	0	0	NUM
brj-22439	200	22	5	5	NUM
brj-22439	200	23	100	100	NUM
brj-22439	200	24	%	%	NOUN
brj-22439	200	25	89.4	89.4	NUM
brj-22439	200	26	%	%	NOUN
brj-22439	200	27	94.4	94.4	NUM
brj-22439	200	28	%	%	NOUN
brj-22439	200	29	testing	testing	NOUN
brj-22439	200	30	set	set	VERB
brj-22439	200	31	39	39	NUM
brj-22439	200	32	1	1	NUM
brj-22439	200	33	5	5	NUM
brj-22439	200	34	97.5	97.5	NUM
brj-22439	200	35	%	%	NOUN
brj-22439	200	36	88.6	88.6	NUM
brj-22439	200	37	%	%	NOUN
brj-22439	200	38	92.8	92.8	NUM
brj-22439	200	39	%	%	NOUN
brj-22439	200	40	however	however	ADV
brj-22439	200	41	,	,	PUNCT
brj-22439	200	42	the	the	DET
brj-22439	200	43	number	number	NOUN
brj-22439	200	44	of	of	ADP
brj-22439	200	45	false	false	ADJ
brj-22439	200	46	positives	positive	NOUN
brj-22439	200	47	presented	present	VERB
brj-22439	200	48	in	in	ADP
brj-22439	200	49	table	table	NOUN
brj-22439	200	50	2	2	NUM
brj-22439	200	51	was	be	AUX
brj-22439	200	52	still	still	ADV
brj-22439	200	53	not	not	PART
brj-22439	200	54	equal	equal	ADJ
brj-22439	200	55	to	to	ADP
brj-22439	200	56	zero	zero	NUM
brj-22439	200	57	.	.	PUNCT
brj-22439	201	1	this	this	PRON
brj-22439	201	2	means	mean	VERB
brj-22439	201	3	that	that	SCONJ
brj-22439	201	4	the	the	DET
brj-22439	201	5	proposed	propose	VERB
brj-22439	201	6	filter	filter	NOUN
brj-22439	201	7	was	be	AUX
brj-22439	201	8	not	not	PART
brj-22439	201	9	able	able	ADJ
brj-22439	201	10	to	to	PART
brj-22439	201	11	eliminate	eliminate	VERB
brj-22439	201	12	all	all	DET
brj-22439	201	13	false	false	ADJ
brj-22439	201	14	positives	positive	NOUN
brj-22439	201	15	even	even	ADV
brj-22439	201	16	though	though	SCONJ
brj-22439	201	17	it	it	PRON
brj-22439	201	18	can	can	AUX
brj-22439	201	19	effectively	effectively	ADV
brj-22439	201	20	reduce	reduce	VERB
brj-22439	201	21	the	the	DET
brj-22439	201	22	number	number	NOUN
brj-22439	201	23	.	.	PUNCT
brj-22439	202	1	the	the	DET
brj-22439	202	2	filter	filter	NOUN
brj-22439	202	3	proposed	propose	VERB
brj-22439	202	4	in	in	ADP
brj-22439	202	5	this	this	DET
brj-22439	202	6	study	study	NOUN
brj-22439	202	7	is	be	AUX
brj-22439	202	8	not	not	PART
brj-22439	202	9	effective	effective	ADJ
brj-22439	202	10	for	for	ADP
brj-22439	202	11	false	false	ADJ
brj-22439	202	12	positives	positive	NOUN
brj-22439	202	13	that	that	PRON
brj-22439	202	14	are	be	AUX
brj-22439	202	15	caused	cause	VERB
brj-22439	202	16	by	by	ADP
brj-22439	202	17	grain	grain	NOUN
brj-22439	202	18	distortion	distortion	NOUN
brj-22439	202	19	or	or	CCONJ
brj-22439	202	20	rough	rough	ADJ
brj-22439	202	21	surfaces	surface	NOUN
brj-22439	202	22	,	,	PUNCT
brj-22439	202	23	because	because	SCONJ
brj-22439	202	24	these	these	DET
brj-22439	202	25	false	false	ADJ
brj-22439	202	26	positives	positive	NOUN
brj-22439	202	27	have	have	VERB
brj-22439	202	28	no	no	DET
brj-22439	202	29	bounding	bounding	NOUN
brj-22439	202	30	boxes	box	NOUN
brj-22439	202	31	intersecting	intersect	VERB
brj-22439	202	32	with	with	ADP
brj-22439	202	33	other	other	ADJ
brj-22439	202	34	real	real	ADJ
brj-22439	202	35	knots	knot	NOUN
brj-22439	202	36	.	.	PUNCT
brj-22439	203	1	for	for	ADP
brj-22439	203	2	example	example	NOUN
brj-22439	203	3	,	,	PUNCT
brj-22439	203	4	the	the	DET
brj-22439	203	5	boxes	box	NOUN
brj-22439	203	6	on	on	ADP
brj-22439	203	7	the	the	DET
brj-22439	203	8	left	left	NOUN
brj-22439	203	9	and	and	CCONJ
brj-22439	203	10	right	right	ADJ
brj-22439	203	11	in	in	ADP
brj-22439	203	12	the	the	DET
brj-22439	203	13	image	image	NOUN
brj-22439	203	14	shown	show	VERB
brj-22439	203	15	in	in	ADP
brj-22439	203	16	fig	fig	NOUN
brj-22439	203	17	.	.	PUNCT
brj-22439	204	1	8	8	NUM
brj-22439	204	2	can	can	AUX
brj-22439	204	3	not	not	PART
brj-22439	204	4	be	be	AUX
brj-22439	204	5	removed	remove	VERB
brj-22439	204	6	,	,	PUNCT
brj-22439	204	7	even	even	ADV
brj-22439	204	8	when	when	SCONJ
brj-22439	204	9	they	they	PRON
brj-22439	204	10	are	be	AUX
brj-22439	204	11	applied	apply	VERB
brj-22439	204	12	to	to	ADP
brj-22439	204	13	the	the	DET
brj-22439	204	14	proposed	propose	VERB
brj-22439	204	15	filter	filter	NOUN
brj-22439	204	16	with	with	ADP
brj-22439	204	17	the	the	DET
brj-22439	204	18	original	original	ADJ
brj-22439	204	19	image	image	NOUN
brj-22439	204	20	.	.	PUNCT
brj-22439	205	1	it	it	PRON
brj-22439	205	2	also	also	ADV
brj-22439	205	3	can	can	AUX
brj-22439	205	4	be	be	AUX
brj-22439	205	5	seen	see	VERB
brj-22439	205	6	that	that	SCONJ
brj-22439	205	7	the	the	DET
brj-22439	205	8	number	number	NOUN
brj-22439	205	9	of	of	ADP
brj-22439	205	10	false	false	ADJ
brj-22439	205	11	negatives	negative	NOUN
brj-22439	205	12	on	on	ADP
brj-22439	205	13	the	the	DET
brj-22439	205	14	testing	testing	NOUN
brj-22439	205	15	set	set	NOUN
brj-22439	205	16	changed	change	VERB
brj-22439	205	17	to	to	ADP
brj-22439	205	18	five	five	NUM
brj-22439	205	19	after	after	ADP
brj-22439	205	20	the	the	DET
brj-22439	205	21	filter	filter	NOUN
brj-22439	205	22	process	process	NOUN
brj-22439	205	23	.	.	PUNCT
brj-22439	206	1	this	this	PRON
brj-22439	206	2	implies	imply	VERB
brj-22439	206	3	that	that	SCONJ
brj-22439	206	4	the	the	DET
brj-22439	206	5	filter	filter	NOUN
brj-22439	206	6	may	may	AUX
brj-22439	206	7	omit	omit	VERB
brj-22439	206	8	more	more	ADJ
brj-22439	206	9	real	real	ADJ
brj-22439	206	10	knots	knot	NOUN
brj-22439	206	11	.	.	PUNCT
brj-22439	207	1	if	if	SCONJ
brj-22439	207	2	two	two	NUM
brj-22439	207	3	knots	knot	NOUN
brj-22439	207	4	are	be	AUX
brj-22439	207	5	sufficiently	sufficiently	ADV
brj-22439	207	6	close	close	ADJ
brj-22439	207	7	,	,	PUNCT
brj-22439	207	8	their	their	PRON
brj-22439	207	9	faster	fast	ADJ
brj-22439	207	10	r	r	NOUN
brj-22439	207	11	-	-	PUNCT
brj-22439	207	12	cnn	cnn	NOUN
brj-22439	207	13	bounding	bounding	NOUN
brj-22439	207	14	boxes	box	NOUN
brj-22439	207	15	may	may	AUX
brj-22439	207	16	overlap	overlap	VERB
brj-22439	207	17	,	,	PUNCT
brj-22439	207	18	as	as	SCONJ
brj-22439	207	19	shown	show	VERB
brj-22439	207	20	in	in	ADP
brj-22439	207	21	fig	fig	NOUN
brj-22439	207	22	.	.	PUNCT
brj-22439	208	1	9	9	X
brj-22439	208	2	.	.	X
brj-22439	209	1	the	the	DET
brj-22439	209	2	filter	filter	NOUN
brj-22439	209	3	merges	merge	VERB
brj-22439	209	4	the	the	DET
brj-22439	209	5	two	two	NUM
brj-22439	209	6	overlapping	overlap	VERB
brj-22439	209	7	bounding	bounding	NOUN
brj-22439	209	8	boxes	box	NOUN
brj-22439	209	9	.	.	PUNCT
brj-22439	210	1	this	this	DET
brj-22439	210	2	merging	merging	NOUN
brj-22439	210	3	decreased	decrease	VERB
brj-22439	210	4	the	the	DET
brj-22439	210	5	recall	recall	NOUN
brj-22439	210	6	rate	rate	NOUN
brj-22439	210	7	from	from	ADP
brj-22439	210	8	90.9	90.9	NUM
brj-22439	210	9	%	%	NOUN
brj-22439	210	10	to	to	ADP
brj-22439	210	11	88.6	88.6	NUM
brj-22439	210	12	%	%	NOUN
brj-22439	210	13	when	when	SCONJ
brj-22439	210	14	the	the	DET
brj-22439	210	15	experiment	experiment	NOUN
brj-22439	210	16	was	be	AUX
brj-22439	210	17	conducted	conduct	VERB
brj-22439	210	18	on	on	ADP
brj-22439	210	19	the	the	DET
brj-22439	210	20	test	test	NOUN
brj-22439	210	21	set	set	NOUN
brj-22439	210	22	.	.	PUNCT
brj-22439	211	1	however	however	ADV
brj-22439	211	2	,	,	PUNCT
brj-22439	211	3	because	because	SCONJ
brj-22439	211	4	the	the	DET
brj-22439	211	5	filter	filter	NOUN
brj-22439	211	6	removed	remove	VERB
brj-22439	211	7	many	many	ADJ
brj-22439	211	8	false	false	ADJ
brj-22439	211	9	positives	positive	NOUN
brj-22439	211	10	,	,	PUNCT
brj-22439	211	11	the	the	DET
brj-22439	211	12	𝐹	𝐹	PROPN
brj-22439	211	13	−	−	PROPN
brj-22439	211	14	𝑠𝑐𝑜𝑟𝑒	𝑠𝑐𝑜𝑟𝑒	NOUN
brj-22439	211	15	increased	increase	VERB
brj-22439	211	16	from	from	ADP
brj-22439	211	17	90.9	90.9	NUM
brj-22439	211	18	%	%	NOUN
brj-22439	211	19	to	to	ADP
brj-22439	211	20	92.8	92.8	NUM
brj-22439	211	21	%	%	NOUN
brj-22439	211	22	.	.	PUNCT
brj-22439	212	1	peer	peer	NOUN
brj-22439	212	2	-	-	PUNCT
brj-22439	212	3	reviewed	review	VERB
brj-22439	212	4	article	article	NOUN
brj-22439	212	5	bioresources.com	bioresources.com	X
brj-22439	212	6	chen	chen	PROPN
brj-22439	212	7	et	et	PROPN
brj-22439	212	8	al	al	PROPN
brj-22439	212	9	.	.	PROPN
brj-22439	212	10	(	(	PUNCT
brj-22439	212	11	2023	2023	NUM
brj-22439	212	12	)	)	PUNCT
brj-22439	212	13	.	.	PUNCT
brj-22439	213	1	“	"	PUNCT
brj-22439	213	2	timber	timber	NOUN
brj-22439	213	3	knot	knot	NOUN
brj-22439	213	4	detector	detector	NOUN
brj-22439	213	5	with	with	ADP
brj-22439	213	6	r	r	NOUN
brj-22439	213	7	-	-	PUNCT
brj-22439	213	8	cnn	cnn	PROPN
brj-22439	213	9	,	,	PUNCT
brj-22439	213	10	”	"	PUNCT
brj-22439	213	11	bioresources	bioresource	NOUN
brj-22439	213	12	18(3	18(3	NUM
brj-22439	213	13	)	)	PUNCT
brj-22439	213	14	,	,	PUNCT
brj-22439	213	15	4964	4964	NUM
brj-22439	213	16	-	-	SYM
brj-22439	213	17	4976	4976	NUM
brj-22439	213	18	.	.	PUNCT
brj-22439	214	1	4973	4973	NUM
brj-22439	214	2	fig	fig	NOUN
brj-22439	214	3	.	.	PUNCT
brj-22439	215	1	8	8	X
brj-22439	215	2	.	.	X
brj-22439	215	3	illustration	illustration	NOUN
brj-22439	215	4	of	of	ADP
brj-22439	215	5	false	false	ADJ
brj-22439	215	6	positives	positive	NOUN
brj-22439	215	7	caused	cause	VERB
brj-22439	215	8	by	by	ADP
brj-22439	215	9	texture	texture	ADJ
brj-22439	215	10	distortion	distortion	NOUN
brj-22439	215	11	or	or	CCONJ
brj-22439	215	12	rough	rough	ADJ
brj-22439	215	13	surface	surface	NOUN
brj-22439	215	14	fig	fig	NOUN
brj-22439	215	15	.	.	PUNCT
brj-22439	216	1	9	9	X
brj-22439	216	2	.	.	X
brj-22439	216	3	illustration	illustration	NOUN
brj-22439	216	4	of	of	ADP
brj-22439	216	5	false	false	ADJ
brj-22439	216	6	negative	negative	ADJ
brj-22439	216	7	caused	cause	VERB
brj-22439	216	8	by	by	ADP
brj-22439	216	9	two	two	NUM
brj-22439	216	10	close	close	ADJ
brj-22439	216	11	knots	knot	NOUN
brj-22439	216	12	comparisons	comparison	NOUN
brj-22439	216	13	with	with	ADP
brj-22439	216	14	yolo	yolo	ADJ
brj-22439	216	15	models	model	NOUN
brj-22439	216	16	the	the	DET
brj-22439	216	17	results	result	NOUN
brj-22439	216	18	of	of	ADP
brj-22439	216	19	the	the	DET
brj-22439	216	20	proposed	propose	VERB
brj-22439	216	21	approach	approach	NOUN
brj-22439	216	22	were	be	AUX
brj-22439	216	23	also	also	ADV
brj-22439	216	24	compared	compare	VERB
brj-22439	216	25	with	with	ADP
brj-22439	216	26	the	the	DET
brj-22439	216	27	results	result	NOUN
brj-22439	216	28	of	of	ADP
brj-22439	216	29	two	two	NUM
brj-22439	216	30	state	state	NOUN
brj-22439	216	31	-	-	PUNCT
brj-22439	216	32	of	of	ADP
brj-22439	216	33	-	-	PUNCT
brj-22439	216	34	the	the	DET
brj-22439	216	35	-	-	PUNCT
brj-22439	216	36	art	art	NOUN
brj-22439	216	37	methods	method	NOUN
brj-22439	216	38	,	,	PUNCT
brj-22439	216	39	yolo	yolo	PROPN
brj-22439	216	40	-	-	PUNCT
brj-22439	216	41	v3	v3	NOUN
brj-22439	216	42	spp	spp	NOUN
brj-22439	216	43	and	and	CCONJ
brj-22439	216	44	yolo	yolo	PROPN
brj-22439	216	45	-	-	PUNCT
brj-22439	216	46	v5	v5	PROPN
brj-22439	216	47	m	m	PROPN
brj-22439	216	48	(	(	PUNCT
brj-22439	216	49	fang	fang	X
brj-22439	216	50	et	et	PROPN
brj-22439	216	51	al	al	PROPN
brj-22439	216	52	.	.	PROPN
brj-22439	216	53	2021	2021	NUM
brj-22439	216	54	)	)	PUNCT
brj-22439	216	55	.	.	PUNCT
brj-22439	217	1	table	table	NOUN
brj-22439	217	2	3	3	NUM
brj-22439	217	3	lists	list	VERB
brj-22439	217	4	their	their	PRON
brj-22439	217	5	results	result	NOUN
brj-22439	217	6	in	in	ADP
brj-22439	217	7	terms	term	NOUN
brj-22439	217	8	of	of	ADP
brj-22439	217	9	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
brj-22439	217	10	,	,	PUNCT
brj-22439	217	11	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
brj-22439	217	12	𝑅𝑎𝑡𝑒	𝑅𝑎𝑡𝑒	PROPN
brj-22439	217	13	,	,	PUNCT
brj-22439	217	14	and	and	CCONJ
brj-22439	217	15	𝐹	𝐹	PROPN
brj-22439	217	16	−	−	PROPN
brj-22439	217	17	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
brj-22439	217	18	of	of	ADP
brj-22439	217	19	the	the	DET
brj-22439	217	20	detection	detection	NOUN
brj-22439	217	21	experiments	experiment	NOUN
brj-22439	217	22	conducted	conduct	VERB
brj-22439	217	23	on	on	ADP
brj-22439	217	24	the	the	DET
brj-22439	217	25	testing	testing	NOUN
brj-22439	217	26	set	set	NOUN
brj-22439	217	27	.	.	PUNCT
brj-22439	218	1	evidently	evidently	ADV
brj-22439	218	2	,	,	PUNCT
brj-22439	218	3	the	the	DET
brj-22439	218	4	performance	performance	NOUN
brj-22439	218	5	of	of	ADP
brj-22439	218	6	yolo	yolo	PROPN
brj-22439	218	7	-	-	PUNCT
brj-22439	218	8	v5	v5	NOUN
brj-22439	218	9	m	m	NOUN
brj-22439	218	10	was	be	AUX
brj-22439	218	11	better	well	ADJ
brj-22439	218	12	than	than	ADP
brj-22439	218	13	that	that	PRON
brj-22439	218	14	of	of	ADP
brj-22439	218	15	yolo	yolo	PROPN
brj-22439	218	16	-	-	PUNCT
brj-22439	218	17	v3	v3	NOUN
brj-22439	218	18	spp	spp	NOUN
brj-22439	218	19	and	and	CCONJ
brj-22439	218	20	faster	fast	ADJ
brj-22439	218	21	r	r	NOUN
brj-22439	218	22	-	-	PUNCT
brj-22439	218	23	cnn	cnn	NOUN
brj-22439	218	24	.	.	PUNCT
brj-22439	219	1	yolo	yolo	PROPN
brj-22439	219	2	-	-	PUNCT
brj-22439	219	3	v3	v3	PROPN
brj-22439	219	4	spp	spp	NOUN
brj-22439	219	5	achieved	achieve	VERB
brj-22439	219	6	performance	performance	NOUN
brj-22439	219	7	similar	similar	ADJ
brj-22439	219	8	to	to	ADP
brj-22439	219	9	that	that	PRON
brj-22439	219	10	of	of	ADP
brj-22439	219	11	faster	fast	ADJ
brj-22439	219	12	r	r	NOUN
brj-22439	219	13	-	-	PUNCT
brj-22439	219	14	cnn	cnn	NOUN
brj-22439	219	15	.	.	PUNCT
brj-22439	220	1	the	the	DET
brj-22439	220	2	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
brj-22439	220	3	of	of	ADP
brj-22439	220	4	faster	fast	ADJ
brj-22439	220	5	r	r	NOUN
brj-22439	220	6	-	-	PUNCT
brj-22439	220	7	cnn	cnn	PROPN
brj-22439	220	8	was	be	AUX
brj-22439	220	9	slightly	slightly	ADV
brj-22439	220	10	lower	low	ADJ
brj-22439	220	11	than	than	ADP
brj-22439	220	12	that	that	PRON
brj-22439	220	13	of	of	ADP
brj-22439	220	14	yolo	yolo	PROPN
brj-22439	220	15	-	-	PUNCT
brj-22439	220	16	v3	v3	PROPN
brj-22439	220	17	spp	spp	NOUN
brj-22439	220	18	,	,	PUNCT
brj-22439	220	19	but	but	CCONJ
brj-22439	220	20	the	the	DET
brj-22439	220	21	values	value	NOUN
brj-22439	220	22	of	of	ADP
brj-22439	220	23	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
brj-22439	220	24	𝑅𝑎𝑡𝑒	𝑅𝑎𝑡𝑒	PROPN
brj-22439	220	25	and	and	CCONJ
brj-22439	220	26	𝐹	𝐹	PROPN
brj-22439	220	27	−	−	PROPN
brj-22439	220	28	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
brj-22439	220	29	were	be	AUX
brj-22439	220	30	higher	high	ADJ
brj-22439	220	31	than	than	ADP
brj-22439	220	32	those	those	PRON
brj-22439	220	33	of	of	ADP
brj-22439	220	34	yolo	yolo	PROPN
brj-22439	220	35	-	-	PUNCT
brj-22439	220	36	v3	v3	PROPN
brj-22439	220	37	spp	spp	NOUN
brj-22439	220	38	.	.	PUNCT
brj-22439	221	1	when	when	SCONJ
brj-22439	221	2	the	the	DET
brj-22439	221	3	algorithm	algorithm	NOUN
brj-22439	221	4	of	of	ADP
brj-22439	221	5	the	the	DET
brj-22439	221	6	overlapping	overlap	VERB
brj-22439	221	7	bounding	bounding	NOUN
brj-22439	221	8	boxes	box	NOUN
brj-22439	221	9	filter	filter	NOUN
brj-22439	221	10	was	be	AUX
brj-22439	221	11	applied	apply	VERB
brj-22439	221	12	,	,	PUNCT
brj-22439	221	13	the	the	DET
brj-22439	221	14	metrics	metric	NOUN
brj-22439	221	15	changed	change	VERB
brj-22439	221	16	significantly	significantly	ADV
brj-22439	221	17	.	.	PUNCT
brj-22439	222	1	the	the	DET
brj-22439	222	2	value	value	NOUN
brj-22439	222	3	of	of	ADP
brj-22439	222	4	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
brj-22439	222	5	reached	reach	VERB
brj-22439	222	6	97.5	97.5	NUM
brj-22439	222	7	%	%	NOUN
brj-22439	222	8	,	,	PUNCT
brj-22439	222	9	which	which	PRON
brj-22439	222	10	was	be	AUX
brj-22439	222	11	higher	high	ADJ
brj-22439	222	12	than	than	ADP
brj-22439	222	13	those	those	PRON
brj-22439	222	14	of	of	ADP
brj-22439	222	15	yolo	yolo	PROPN
brj-22439	222	16	-	-	PUNCT
brj-22439	222	17	v3	v3	PROPN
brj-22439	222	18	spp	spp	NOUN
brj-22439	222	19	and	and	CCONJ
brj-22439	222	20	yolo	yolo	PROPN
brj-22439	222	21	-	-	PUNCT
brj-22439	222	22	v5	v5	PROPN
brj-22439	222	23	m.	m.	NOUN
brj-22439	222	24	at	at	ADP
brj-22439	222	25	the	the	DET
brj-22439	222	26	same	same	ADJ
brj-22439	222	27	time	time	NOUN
brj-22439	222	28	,	,	PUNCT
brj-22439	222	29	the	the	DET
brj-22439	222	30	𝐹	𝐹	PROPN
brj-22439	222	31	−	−	PROPN
brj-22439	222	32	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
brj-22439	222	33	was	be	AUX
brj-22439	222	34	also	also	ADV
brj-22439	222	35	the	the	DET
brj-22439	222	36	highest	high	ADJ
brj-22439	222	37	among	among	ADP
brj-22439	222	38	the	the	DET
brj-22439	222	39	three	three	NUM
brj-22439	222	40	methods	method	NOUN
brj-22439	222	41	,	,	PUNCT
brj-22439	222	42	even	even	ADV
brj-22439	222	43	though	though	SCONJ
brj-22439	222	44	the	the	DET
brj-22439	222	45	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
brj-22439	222	46	𝑅𝑎𝑡𝑒	𝑅𝑎𝑡𝑒	PROPN
brj-22439	222	47	was	be	AUX
brj-22439	222	48	slightly	slightly	ADV
brj-22439	222	49	lower	low	ADJ
brj-22439	222	50	than	than	ADP
brj-22439	222	51	those	those	PRON
brj-22439	222	52	of	of	ADP
brj-22439	222	53	the	the	DET
brj-22439	222	54	other	other	ADJ
brj-22439	222	55	two	two	NUM
brj-22439	222	56	yolo	yolo	ADV
brj-22439	222	57	-	-	PUNCT
brj-22439	222	58	based	base	VERB
brj-22439	222	59	methods	method	NOUN
brj-22439	222	60	.	.	PUNCT
brj-22439	223	1	table	table	NOUN
brj-22439	223	2	3	3	NUM
brj-22439	223	3	.	.	PUNCT
brj-22439	223	4	results	result	NOUN
brj-22439	223	5	of	of	ADP
brj-22439	223	6	yolo	yolo	PROPN
brj-22439	223	7	-	-	PUNCT
brj-22439	223	8	v3	v3	PROPN
brj-22439	223	9	spp	spp	NOUN
brj-22439	223	10	and	and	CCONJ
brj-22439	223	11	yolo	yolo	PROPN
brj-22439	223	12	-	-	PUNCT
brj-22439	223	13	v5	v5	PROPN
brj-22439	223	14	m	m	PROPN
brj-22439	223	15	data	datum	NOUN
brj-22439	223	16	set	set	VERB
brj-22439	223	17	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
brj-22439	223	18	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
brj-22439	223	19	𝑅𝑎𝑡𝑒	𝑅𝑎𝑡𝑒	PROPN
brj-22439	223	20	𝐹	𝐹	PROPN
brj-22439	223	21	−	−	PROPN
brj-22439	223	22	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
brj-22439	223	23	yolo	yolo	PROPN
brj-22439	223	24	-	-	PUNCT
brj-22439	223	25	v3	v3	PROPN
brj-22439	223	26	spp	spp	NOUN
brj-22439	223	27	91.7	91.7	NUM
brj-22439	223	28	%	%	NOUN
brj-22439	223	29	89.2	89.2	NUM
brj-22439	223	30	%	%	NOUN
brj-22439	223	31	90.4	90.4	NUM
brj-22439	223	32	%	%	NOUN
brj-22439	223	33	yolo	yolo	PROPN
brj-22439	223	34	-	-	PUNCT
brj-22439	223	35	v5	v5	PROPN
brj-22439	223	36	m	m	NOUN
brj-22439	223	37	91.7	91.7	NUM
brj-22439	223	38	%	%	NOUN
brj-22439	223	39	91.7	91.7	NUM
brj-22439	223	40	%	%	NOUN
brj-22439	223	41	91.7	91.7	NUM
brj-22439	223	42	%	%	NOUN
brj-22439	223	43	peer	peer	NOUN
brj-22439	223	44	-	-	PUNCT
brj-22439	223	45	reviewed	review	VERB
brj-22439	223	46	article	article	NOUN
brj-22439	223	47	bioresources.com	bioresources.com	X
brj-22439	223	48	chen	chen	PROPN
brj-22439	223	49	et	et	PROPN
brj-22439	223	50	al	al	PROPN
brj-22439	223	51	.	.	PROPN
brj-22439	224	1	(	(	PUNCT
brj-22439	224	2	2023	2023	NUM
brj-22439	224	3	)	)	PUNCT
brj-22439	224	4	.	.	PUNCT
brj-22439	225	1	“	"	PUNCT
brj-22439	225	2	timber	timber	NOUN
brj-22439	225	3	knot	knot	NOUN
brj-22439	225	4	detector	detector	NOUN
brj-22439	225	5	with	with	ADP
brj-22439	225	6	r	r	NOUN
brj-22439	225	7	-	-	PUNCT
brj-22439	225	8	cnn	cnn	PROPN
brj-22439	225	9	,	,	PUNCT
brj-22439	225	10	”	"	PUNCT
brj-22439	225	11	bioresources	bioresource	NOUN
brj-22439	225	12	18(3	18(3	NUM
brj-22439	225	13	)	)	PUNCT
brj-22439	225	14	,	,	PUNCT
brj-22439	225	15	4964	4964	NUM
brj-22439	225	16	-	-	SYM
brj-22439	225	17	4976	4976	NUM
brj-22439	225	18	.	.	PUNCT
brj-22439	226	1	4974	4974	NUM
brj-22439	226	2	conclusions	conclusion	NOUN
brj-22439	226	3	1	1	NUM
brj-22439	226	4	.	.	PUNCT
brj-22439	226	5	through	through	ADP
brj-22439	226	6	introducing	introduce	VERB
brj-22439	226	7	the	the	DET
brj-22439	226	8	proposed	propose	VERB
brj-22439	226	9	overlapping	overlap	VERB
brj-22439	226	10	bounding	bounding	NOUN
brj-22439	226	11	box	box	NOUN
brj-22439	226	12	filter	filter	NOUN
brj-22439	226	13	to	to	ADP
brj-22439	226	14	faster	fast	ADJ
brj-22439	226	15	r	r	NOUN
brj-22439	226	16	-	-	PUNCT
brj-22439	226	17	cnn	cnn	PROPN
brj-22439	226	18	,	,	PUNCT
brj-22439	226	19	knot	knot	VERB
brj-22439	226	20	defects	defect	NOUN
brj-22439	226	21	detection	detection	NOUN
brj-22439	226	22	is	be	AUX
brj-22439	226	23	achieved	achieve	VERB
brj-22439	226	24	with	with	ADP
brj-22439	226	25	low	low	ADJ
brj-22439	226	26	false	false	ADJ
brj-22439	226	27	positives	positive	NOUN
brj-22439	226	28	,	,	PUNCT
brj-22439	226	29	which	which	PRON
brj-22439	226	30	then	then	ADV
brj-22439	226	31	tackles	tackle	VERB
brj-22439	226	32	the	the	DET
brj-22439	226	33	drop	drop	NOUN
brj-22439	226	34	in	in	ADP
brj-22439	226	35	the	the	DET
brj-22439	226	36	precision	precision	NOUN
brj-22439	226	37	of	of	ADP
brj-22439	226	38	the	the	DET
brj-22439	226	39	detection	detection	NOUN
brj-22439	226	40	and	and	CCONJ
brj-22439	226	41	the	the	DET
brj-22439	226	42	commercial	commercial	ADJ
brj-22439	226	43	value	value	NOUN
brj-22439	226	44	of	of	ADP
brj-22439	226	45	timbers	timber	NOUN
brj-22439	226	46	.	.	PUNCT
brj-22439	227	1	the	the	DET
brj-22439	227	2	experimental	experimental	ADJ
brj-22439	227	3	results	result	NOUN
brj-22439	227	4	showed	show	VERB
brj-22439	227	5	that	that	SCONJ
brj-22439	227	6	the	the	DET
brj-22439	227	7	proposed	propose	VERB
brj-22439	227	8	framework	framework	NOUN
brj-22439	227	9	can	can	AUX
brj-22439	227	10	improve	improve	VERB
brj-22439	227	11	the	the	DET
brj-22439	227	12	detection	detection	NOUN
brj-22439	227	13	precision	precision	NOUN
brj-22439	227	14	of	of	ADP
brj-22439	227	15	faster	fast	ADJ
brj-22439	227	16	r	r	NOUN
brj-22439	227	17	-	-	NOUN
brj-22439	227	18	cnn	cnn	NOUN
brj-22439	227	19	from	from	ADP
brj-22439	227	20	90.9	90.9	NUM
brj-22439	227	21	%	%	NOUN
brj-22439	227	22	to	to	ADP
brj-22439	227	23	97.5	97.5	NUM
brj-22439	227	24	%	%	NOUN
brj-22439	227	25	.	.	PUNCT
brj-22439	228	1	in	in	ADP
brj-22439	228	2	comparison	comparison	NOUN
brj-22439	228	3	with	with	ADP
brj-22439	228	4	yolo	yolo	PROPN
brj-22439	228	5	-	-	PUNCT
brj-22439	228	6	v3	v3	PROPN
brj-22439	228	7	spp	spp	NOUN
brj-22439	228	8	and	and	CCONJ
brj-22439	228	9	yolov5	yolov5	NOUN
brj-22439	228	10	m	m	NOUN
brj-22439	228	11	models	model	NOUN
brj-22439	228	12	,	,	PUNCT
brj-22439	228	13	the	the	DET
brj-22439	228	14	proposed	propose	VERB
brj-22439	228	15	method	method	NOUN
brj-22439	228	16	also	also	ADV
brj-22439	228	17	achieved	achieve	VERB
brj-22439	228	18	the	the	DET
brj-22439	228	19	best	good	ADJ
brj-22439	228	20	performance	performance	NOUN
brj-22439	228	21	.	.	PUNCT
brj-22439	229	1	2	2	X
brj-22439	229	2	.	.	X
brj-22439	229	3	the	the	DET
brj-22439	229	4	advantage	advantage	NOUN
brj-22439	229	5	of	of	ADP
brj-22439	229	6	this	this	DET
brj-22439	229	7	approach	approach	NOUN
brj-22439	229	8	is	be	AUX
brj-22439	229	9	that	that	SCONJ
brj-22439	229	10	it	it	PRON
brj-22439	229	11	can	can	AUX
brj-22439	229	12	remove	remove	VERB
brj-22439	229	13	repeated	repeat	VERB
brj-22439	229	14	bounding	bounding	NOUN
brj-22439	229	15	boxes	box	NOUN
brj-22439	229	16	at	at	ADP
brj-22439	229	17	a	a	DET
brj-22439	229	18	small	small	ADJ
brj-22439	229	19	computational	computational	ADJ
brj-22439	229	20	cost	cost	NOUN
brj-22439	229	21	and	and	CCONJ
brj-22439	229	22	significantly	significantly	ADV
brj-22439	229	23	improves	improve	VERB
brj-22439	229	24	the	the	DET
brj-22439	229	25	detection	detection	NOUN
brj-22439	229	26	accuracy	accuracy	NOUN
brj-22439	229	27	.	.	PUNCT
brj-22439	230	1	several	several	ADJ
brj-22439	230	2	comparison	comparison	NOUN
brj-22439	230	3	operations	operation	NOUN
brj-22439	230	4	are	be	AUX
brj-22439	230	5	needed	need	VERB
brj-22439	230	6	rather	rather	ADV
brj-22439	230	7	than	than	ADP
brj-22439	230	8	additional	additional	ADJ
brj-22439	230	9	training	training	NOUN
brj-22439	230	10	,	,	PUNCT
brj-22439	230	11	which	which	PRON
brj-22439	230	12	is	be	AUX
brj-22439	230	13	timeconsuming	timeconsuming	ADJ
brj-22439	230	14	and	and	CCONJ
brj-22439	230	15	needs	need	VERB
brj-22439	230	16	more	more	ADJ
brj-22439	230	17	hardware	hardware	NOUN
brj-22439	230	18	support	support	NOUN
brj-22439	230	19	.	.	PUNCT
brj-22439	231	1	3	3	X
brj-22439	231	2	.	.	X
brj-22439	231	3	a	a	DET
brj-22439	231	4	disadvantage	disadvantage	NOUN
brj-22439	231	5	of	of	ADP
brj-22439	231	6	this	this	DET
brj-22439	231	7	method	method	NOUN
brj-22439	231	8	is	be	AUX
brj-22439	231	9	that	that	SCONJ
brj-22439	231	10	the	the	DET
brj-22439	231	11	filter	filter	NOUN
brj-22439	231	12	can	can	AUX
brj-22439	231	13	not	not	PART
brj-22439	231	14	remove	remove	VERB
brj-22439	231	15	commission	commission	NOUN
brj-22439	231	16	errors	error	NOUN
brj-22439	231	17	caused	cause	VERB
brj-22439	231	18	by	by	ADP
brj-22439	231	19	the	the	DET
brj-22439	231	20	torn	torn	ADJ
brj-22439	231	21	grain	grain	NOUN
brj-22439	231	22	or	or	CCONJ
brj-22439	231	23	rough	rough	ADJ
brj-22439	231	24	surface	surface	NOUN
brj-22439	231	25	.	.	PUNCT
brj-22439	232	1	more	more	ADJ
brj-22439	232	2	efforts	effort	NOUN
brj-22439	232	3	are	be	AUX
brj-22439	232	4	needed	need	VERB
brj-22439	232	5	to	to	PART
brj-22439	232	6	address	address	VERB
brj-22439	232	7	this	this	DET
brj-22439	232	8	problem	problem	NOUN
brj-22439	232	9	by	by	ADP
brj-22439	232	10	investigating	investigate	VERB
brj-22439	232	11	transformed	transform	VERB
brj-22439	232	12	-	-	PUNCT
brj-22439	232	13	based	base	VERB
brj-22439	232	14	networks	network	NOUN
brj-22439	232	15	,	,	PUNCT
brj-22439	232	16	which	which	PRON
brj-22439	232	17	are	be	AUX
brj-22439	232	18	reported	report	VERB
brj-22439	232	19	to	to	PART
brj-22439	232	20	have	have	VERB
brj-22439	232	21	the	the	DET
brj-22439	232	22	ability	ability	NOUN
brj-22439	232	23	to	to	PART
brj-22439	232	24	achieve	achieve	VERB
brj-22439	232	25	better	well	ADJ
brj-22439	232	26	performance	performance	NOUN
brj-22439	232	27	than	than	ADP
brj-22439	232	28	the	the	DET
brj-22439	232	29	cnn	cnn	PROPN
brj-22439	232	30	-	-	PUNCT
brj-22439	232	31	based	base	VERB
brj-22439	232	32	models	model	NOUN
brj-22439	232	33	.	.	PUNCT
brj-22439	233	1	4	4	X
brj-22439	233	2	.	.	X
brj-22439	233	3	if	if	SCONJ
brj-22439	233	4	knots	knot	NOUN
brj-22439	233	5	are	be	AUX
brj-22439	233	6	spatially	spatially	ADV
brj-22439	233	7	close	close	ADJ
brj-22439	233	8	to	to	ADP
brj-22439	233	9	each	each	DET
brj-22439	233	10	other	other	ADJ
brj-22439	233	11	,	,	PUNCT
brj-22439	233	12	the	the	DET
brj-22439	233	13	filter	filter	NOUN
brj-22439	233	14	may	may	AUX
brj-22439	233	15	merge	merge	VERB
brj-22439	233	16	the	the	DET
brj-22439	233	17	overlapping	overlap	VERB
brj-22439	233	18	bounding	bounding	NOUN
brj-22439	233	19	boxes	box	NOUN
brj-22439	233	20	output	output	NOUN
brj-22439	233	21	by	by	ADP
brj-22439	233	22	faster	fast	ADJ
brj-22439	233	23	r	r	NOUN
brj-22439	233	24	-	-	PUNCT
brj-22439	233	25	cnn	cnn	NOUN
brj-22439	233	26	.	.	PUNCT
brj-22439	234	1	this	this	PRON
brj-22439	234	2	leads	lead	VERB
brj-22439	234	3	to	to	ADP
brj-22439	234	4	omission	omission	NOUN
brj-22439	234	5	errors	error	NOUN
brj-22439	234	6	and	and	CCONJ
brj-22439	234	7	a	a	DET
brj-22439	234	8	decrease	decrease	NOUN
brj-22439	234	9	in	in	ADP
brj-22439	234	10	the	the	DET
brj-22439	234	11	recall	recall	NOUN
brj-22439	234	12	rate	rate	NOUN
brj-22439	234	13	.	.	PUNCT
brj-22439	235	1	in	in	ADP
brj-22439	235	2	the	the	DET
brj-22439	235	3	future	future	NOUN
brj-22439	235	4	,	,	PUNCT
brj-22439	235	5	the	the	DET
brj-22439	235	6	authors	author	NOUN
brj-22439	235	7	plan	plan	VERB
brj-22439	235	8	to	to	PART
brj-22439	235	9	introduce	introduce	VERB
brj-22439	235	10	object	object	NOUN
brj-22439	235	11	identification	identification	NOUN
brj-22439	235	12	algorithms	algorithm	NOUN
brj-22439	235	13	to	to	ADP
brj-22439	235	14	the	the	DET
brj-22439	235	15	image	image	NOUN
brj-22439	235	16	within	within	ADP
brj-22439	235	17	the	the	DET
brj-22439	235	18	maximum	maximum	ADJ
brj-22439	235	19	enclosing	enclosing	NOUN
brj-22439	235	20	rectangle	rectangle	NOUN
brj-22439	235	21	to	to	PART
brj-22439	235	22	determine	determine	VERB
brj-22439	235	23	the	the	DET
brj-22439	235	24	actual	actual	ADJ
brj-22439	235	25	number	number	NOUN
brj-22439	235	26	of	of	ADP
brj-22439	235	27	knots	knot	NOUN
brj-22439	235	28	.	.	PUNCT
brj-22439	236	1	acknowledgments	acknowledgment	NOUN
brj-22439	236	2	the	the	DET
brj-22439	236	3	authors	author	NOUN
brj-22439	236	4	are	be	AUX
brj-22439	236	5	grateful	grateful	ADJ
brj-22439	236	6	for	for	ADP
brj-22439	236	7	the	the	DET
brj-22439	236	8	support	support	NOUN
brj-22439	236	9	of	of	ADP
brj-22439	236	10	the	the	DET
brj-22439	236	11	key	key	ADJ
brj-22439	236	12	research	research	NOUN
brj-22439	236	13	and	and	CCONJ
brj-22439	236	14	development	development	NOUN
brj-22439	236	15	program	program	NOUN
brj-22439	236	16	of	of	ADP
brj-22439	236	17	zhejiang	zhejiang	PROPN
brj-22439	236	18	province	province	PROPN
brj-22439	236	19	(	(	PUNCT
brj-22439	236	20	grant	grant	VERB
brj-22439	236	21	no	no	NOUN
brj-22439	236	22	.	.	PUNCT
brj-22439	237	1	2020c01031	2020c01031	NUM
brj-22439	237	2	)	)	PUNCT
brj-22439	237	3	and	and	CCONJ
brj-22439	237	4	moe	moe	NOUN
brj-22439	237	5	(	(	PUNCT
brj-22439	237	6	ministry	ministry	NOUN
brj-22439	237	7	of	of	ADP
brj-22439	237	8	education	education	PROPN
brj-22439	237	9	in	in	ADP
brj-22439	237	10	china	china	PROPN
brj-22439	237	11	)	)	PUNCT
brj-22439	237	12	project	project	NOUN
brj-22439	237	13	of	of	ADP
brj-22439	237	14	humanities	humanity	NOUN
brj-22439	237	15	and	and	CCONJ
brj-22439	237	16	social	social	ADJ
brj-22439	237	17	sciences	science	NOUN
brj-22439	237	18	(	(	PUNCT
brj-22439	237	19	grant	grant	VERB
brj-22439	237	20	no	no	INTJ
brj-22439	237	21	.	.	PUNCT
brj-22439	238	1	22yjazh017	22yjazh017	NUM
brj-22439	238	2	)	)	PUNCT
brj-22439	238	3	.	.	PUNCT
brj-22439	239	1	references	reference	NOUN
brj-22439	239	2	cited	cite	VERB
brj-22439	239	3	anam	anam	PROPN
brj-22439	239	4	,	,	PUNCT
brj-22439	239	5	m.	m.	NOUN
brj-22439	239	6	(	(	PUNCT
brj-22439	239	7	2021	2021	NUM
brj-22439	239	8	)	)	PUNCT
brj-22439	239	9	"	"	PUNCT
brj-22439	239	10	evaluate	evaluate	VERB
brj-22439	239	11	machine	machine	NOUN
brj-22439	239	12	learning	learning	NOUN
brj-22439	239	13	model	model	NOUN
brj-22439	239	14	to	to	PART
brj-22439	239	15	better	well	ADV
brj-22439	239	16	understand	understand	VERB
brj-22439	239	17	cutting	cut	VERB
brj-22439	239	18	in	in	ADP
brj-22439	239	19	wood	wood	NOUN
brj-22439	239	20	,	,	PUNCT
brj-22439	239	21	"	"	PUNCT
brj-22439	239	22	uppsala	uppsala	PROPN
brj-22439	239	23	univeristy	univeristy	PROPN
brj-22439	239	24	,	,	PUNCT
brj-22439	239	25	url	url	PROPN
brj-22439	239	26	:	:	PUNCT
brj-22439	239	27	https://www.essays.se/essay/fb993bc5c9/	https://www.essays.se/essay/fb993bc5c9/	PROPN
brj-22439	239	28	chen	chen	PROPN
brj-22439	239	29	,	,	PUNCT
brj-22439	239	30	m.	m.	NOUN
brj-22439	239	31	,	,	PUNCT
brj-22439	239	32	yu	yu	PROPN
brj-22439	239	33	,	,	PUNCT
brj-22439	239	34	l.	l.	PROPN
brj-22439	239	35	,	,	PUNCT
brj-22439	239	36	zhi	zhi	PROPN
brj-22439	239	37	,	,	PUNCT
brj-22439	239	38	c.	c.	PROPN
brj-22439	239	39	,	,	PUNCT
brj-22439	239	40	sun	sun	PROPN
brj-22439	239	41	,	,	PUNCT
brj-22439	239	42	r.	r.	PROPN
brj-22439	239	43	,	,	PUNCT
brj-22439	239	44	zhu	zhu	PROPN
brj-22439	239	45	,	,	PUNCT
brj-22439	239	46	s.	s.	PROPN
brj-22439	239	47	,	,	PUNCT
brj-22439	239	48	gao	gao	PROPN
brj-22439	239	49	,	,	PUNCT
brj-22439	239	50	z.	z.	PROPN
brj-22439	239	51	,	,	PUNCT
brj-22439	239	52	ke	ke	PROPN
brj-22439	239	53	,	,	PUNCT
brj-22439	239	54	z.	z.	PROPN
brj-22439	239	55	,	,	PUNCT
brj-22439	239	56	zhu	zhu	PROPN
brj-22439	239	57	,	,	PUNCT
brj-22439	239	58	m.	m.	NOUN
brj-22439	239	59	,	,	PUNCT
brj-22439	239	60	and	and	CCONJ
brj-22439	239	61	zhang	zhang	PROPN
brj-22439	239	62	,	,	PUNCT
brj-22439	239	63	y.	y.	PROPN
brj-22439	239	64	(	(	PUNCT
brj-22439	239	65	2022	2022	NUM
brj-22439	239	66	)	)	PUNCT
brj-22439	239	67	.	.	PUNCT
brj-22439	240	1	"	"	PUNCT
brj-22439	240	2	improved	improve	VERB
brj-22439	240	3	faster	fast	ADV
brj-22439	240	4	r	r	NOUN
brj-22439	240	5	-	-	PUNCT
brj-22439	240	6	cnn	cnn	PROPN
brj-22439	240	7	for	for	ADP
brj-22439	240	8	fabric	fabric	NOUN
brj-22439	240	9	defect	defect	NOUN
brj-22439	240	10	detection	detection	NOUN
brj-22439	240	11	based	base	VERB
brj-22439	240	12	on	on	ADP
brj-22439	240	13	gabor	gabor	PROPN
brj-22439	240	14	filter	filter	NOUN
brj-22439	240	15	with	with	ADP
brj-22439	240	16	genetic	genetic	ADJ
brj-22439	240	17	algorithm	algorithm	NOUN
brj-22439	240	18	optimization	optimization	NOUN
brj-22439	240	19	,	,	PUNCT
brj-22439	240	20	"	"	PUNCT
brj-22439	240	21	computers	computer	NOUN
brj-22439	240	22	in	in	ADP
brj-22439	240	23	industry	industry	NOUN
brj-22439	240	24	134	134	NUM
brj-22439	240	25	,	,	PUNCT
brj-22439	240	26	article	article	NOUN
brj-22439	240	27	103551	103551	NUM
brj-22439	240	28	.	.	PUNCT
brj-22439	241	1	doi	doi	NOUN
brj-22439	241	2	:	:	PUNCT
brj-22439	241	3	10.1016	10.1016	NUM
brj-22439	241	4	/	/	SYM
brj-22439	241	5	j.compind.2021.103551	j.compind.2021.103551	PROPN
brj-22439	241	6	ding	ding	PROPN
brj-22439	241	7	,	,	PUNCT
brj-22439	241	8	f.	f.	PROPN
brj-22439	241	9	,	,	PUNCT
brj-22439	241	10	zhuang	zhuang	PROPN
brj-22439	241	11	,	,	PUNCT
brj-22439	241	12	z.	z.	PROPN
brj-22439	241	13	,	,	PUNCT
brj-22439	241	14	liu	liu	PROPN
brj-22439	241	15	,	,	PUNCT
brj-22439	241	16	y.	y.	PROPN
brj-22439	241	17	,	,	PUNCT
brj-22439	241	18	jiang	jiang	PROPN
brj-22439	241	19	,	,	PUNCT
brj-22439	241	20	d.	d.	PROPN
brj-22439	241	21	,	,	PUNCT
brj-22439	241	22	yan	yan	PROPN
brj-22439	241	23	,	,	PUNCT
brj-22439	241	24	x.	x.	NOUN
brj-22439	241	25	,	,	PUNCT
brj-22439	241	26	and	and	CCONJ
brj-22439	241	27	wang	wang	PROPN
brj-22439	241	28	,	,	PUNCT
brj-22439	241	29	z.	z.	PROPN
brj-22439	241	30	(	(	PUNCT
brj-22439	241	31	2020	2020	NUM
brj-22439	241	32	)	)	PUNCT
brj-22439	241	33	.	.	PUNCT
brj-22439	242	1	"	"	PUNCT
brj-22439	242	2	detecting	detect	VERB
brj-22439	242	3	defects	defect	NOUN
brj-22439	242	4	on	on	ADP
brj-22439	242	5	solid	solid	ADJ
brj-22439	242	6	wood	wood	NOUN
brj-22439	242	7	panels	panel	NOUN
brj-22439	242	8	based	base	VERB
brj-22439	242	9	on	on	ADP
brj-22439	242	10	an	an	DET
brj-22439	242	11	improved	improved	ADJ
brj-22439	242	12	ssd	ssd	NOUN
brj-22439	242	13	algorithm	algorithm	NOUN
brj-22439	242	14	,	,	PUNCT
brj-22439	242	15	"	"	PUNCT
brj-22439	242	16	sensors	sensor	NOUN
brj-22439	242	17	20	20	NUM
brj-22439	242	18	,	,	PUNCT
brj-22439	242	19	article	article	NOUN
brj-22439	242	20	5315	5315	NUM
brj-22439	242	21	.	.	PUNCT
brj-22439	243	1	doi	doi	NOUN
brj-22439	243	2	:	:	PUNCT
brj-22439	243	3	10.3390	10.3390	NUM
brj-22439	243	4	/	/	SYM
brj-22439	243	5	s20185315	s20185315	PROPN
brj-22439	243	6	elpeltagy	elpeltagy	ADJ
brj-22439	243	7	,	,	PUNCT
brj-22439	243	8	m.	m.	NOUN
brj-22439	243	9	,	,	PUNCT
brj-22439	243	10	and	and	CCONJ
brj-22439	243	11	sallam	sallam	NOUN
brj-22439	243	12	,	,	PUNCT
brj-22439	243	13	h.	h.	PROPN
brj-22439	243	14	(	(	PUNCT
brj-22439	243	15	2021	2021	NUM
brj-22439	243	16	)	)	PUNCT
brj-22439	243	17	.	.	PUNCT
brj-22439	244	1	"	"	PUNCT
brj-22439	244	2	automatic	automatic	ADJ
brj-22439	244	3	prediction	prediction	NOUN
brj-22439	244	4	of	of	ADP
brj-22439	244	5	covid−19	covid−19	PROPN
brj-22439	244	6	from	from	ADP
brj-22439	244	7	chest	chest	NOUN
brj-22439	244	8	images	image	NOUN
brj-22439	244	9	using	use	VERB
brj-22439	244	10	modified	modified	ADJ
brj-22439	244	11	resnet50	resnet50	NOUN
brj-22439	244	12	,	,	PUNCT
brj-22439	244	13	"	"	PUNCT
brj-22439	244	14	multimedia	multimedia	NOUN
brj-22439	244	15	tools	tool	NOUN
brj-22439	244	16	and	and	CCONJ
brj-22439	244	17	applications	application	NOUN
brj-22439	244	18	80	80	NUM
brj-22439	244	19	,	,	PUNCT
brj-22439	244	20	2645126463	2645126463	NUM
brj-22439	244	21	.	.	PUNCT
brj-22439	245	1	doi	doi	NOUN
brj-22439	245	2	:	:	PUNCT
brj-22439	245	3	10.1007	10.1007	NUM
brj-22439	245	4	/	/	SYM
brj-22439	245	5	s11042	s11042	PROPN
brj-22439	245	6	-	-	PUNCT
brj-22439	245	7	021	021	NUM
brj-22439	245	8	-	-	PUNCT
brj-22439	245	9	10783	10783	NUM
brj-22439	245	10	-	-	SYM
brj-22439	245	11	6	6	NUM
brj-22439	245	12	fang	fang	NOUN
brj-22439	245	13	,	,	PUNCT
brj-22439	245	14	y.	y.	PROPN
brj-22439	245	15	,	,	PUNCT
brj-22439	245	16	guo	guo	PROPN
brj-22439	245	17	,	,	PUNCT
brj-22439	245	18	x.	x.	PROPN
brj-22439	245	19	,	,	PUNCT
brj-22439	245	20	chen	chen	PROPN
brj-22439	245	21	,	,	PUNCT
brj-22439	245	22	k.	k.	PROPN
brj-22439	245	23	,	,	PUNCT
brj-22439	245	24	zhou	zhou	PROPN
brj-22439	245	25	,	,	PUNCT
brj-22439	245	26	z.	z.	PROPN
brj-22439	245	27	,	,	PUNCT
brj-22439	245	28	and	and	CCONJ
brj-22439	245	29	ye	ye	NOUN
brj-22439	245	30	,	,	PUNCT
brj-22439	245	31	q.	q.	PROPN
brj-22439	245	32	(	(	PUNCT
brj-22439	245	33	2021	2021	NUM
brj-22439	245	34	)	)	PUNCT
brj-22439	245	35	.	.	PUNCT
brj-22439	246	1	"	"	PUNCT
brj-22439	246	2	accurate	accurate	ADJ
brj-22439	246	3	and	and	CCONJ
brj-22439	246	4	automated	automate	VERB
brj-22439	246	5	detection	detection	NOUN
brj-22439	246	6	of	of	ADP
brj-22439	246	7	surface	surface	NOUN
brj-22439	246	8	knots	knot	NOUN
brj-22439	246	9	on	on	ADP
brj-22439	246	10	sawn	sawn	NOUN
brj-22439	246	11	timbers	timber	NOUN
brj-22439	246	12	using	use	VERB
brj-22439	246	13	yolo	yolo	PROPN
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brj-22439	246	18	"	"	PUNCT
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brj-22439	246	21	-	-	PUNCT
brj-22439	246	22	reviewed	review	VERB
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brj-22439	246	31	)	)	PUNCT
brj-22439	246	32	.	.	PUNCT
brj-22439	247	1	“	"	PUNCT
brj-22439	247	2	timber	timber	NOUN
brj-22439	247	3	knot	knot	NOUN
brj-22439	247	4	detector	detector	NOUN
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brj-22439	247	7	-	-	PUNCT
brj-22439	247	8	cnn	cnn	PROPN
brj-22439	247	9	,	,	PUNCT
brj-22439	247	10	”	"	PUNCT
brj-22439	247	11	bioresources	bioresource	NOUN
brj-22439	247	12	18(3	18(3	NUM
brj-22439	247	13	)	)	PUNCT
brj-22439	247	14	,	,	PUNCT
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brj-22439	247	16	-	-	SYM
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brj-22439	248	1	4975	4975	NUM
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brj-22439	248	3	)	)	PUNCT
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brj-22439	249	7	5406	5406	NUM
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brj-22439	249	9	,	,	PUNCT
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brj-22439	249	13	,	,	PUNCT
brj-22439	249	14	l.	l.	PROPN
brj-22439	249	15	,	,	PUNCT
brj-22439	249	16	krs	krs	PROPN
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brj-22439	249	22	,	,	PUNCT
brj-22439	249	23	b.	b.	PROPN
brj-22439	249	24	(	(	PUNCT
brj-22439	249	25	2018	2018	NUM
brj-22439	249	26	)	)	PUNCT
brj-22439	249	27	.	.	PUNCT
brj-22439	250	1	"	"	PUNCT
brj-22439	250	2	validation	validation	NOUN
brj-22439	250	3	of	of	ADP
brj-22439	250	4	automated	automate	VERB
brj-22439	250	5	hardwood	hardwood	NOUN
brj-22439	250	6	lumber	lumber	NOUN
brj-22439	250	7	grading	grade	VERB
brj-22439	250	8	system	system	NOUN
brj-22439	250	9	,	,	PUNCT
brj-22439	250	10	"	"	PUNCT
brj-22439	250	11	computers	computer	NOUN
brj-22439	250	12	and	and	CCONJ
brj-22439	250	13	electronics	electronic	NOUN
brj-22439	250	14	in	in	ADP
brj-22439	250	15	agriculture	agriculture	NOUN
brj-22439	250	16	155	155	NUM
brj-22439	250	17	,	,	PUNCT
brj-22439	250	18	496	496	NUM
brj-22439	250	19	-	-	SYM
brj-22439	250	20	500	500	NUM
brj-22439	250	21	.	.	PUNCT
brj-22439	251	1	doi	doi	NOUN
brj-22439	251	2	:	:	PUNCT
brj-22439	251	3	10.1016	10.1016	NUM
brj-22439	251	4	/	/	SYM
brj-22439	251	5	j.compag.2018.06.041	j.compag.2018.06.041	PROPN
brj-22439	251	6	goutte	goutte	PROPN
brj-22439	251	7	,	,	PUNCT
brj-22439	251	8	c.	c.	PROPN
brj-22439	251	9	,	,	PUNCT
brj-22439	251	10	and	and	CCONJ
brj-22439	251	11	gaussier	gaussier	NOUN
brj-22439	251	12	,	,	PUNCT
brj-22439	251	13	e.	e.	PROPN
brj-22439	251	14	(	(	PUNCT
brj-22439	251	15	2005	2005	NUM
brj-22439	251	16	)	)	PUNCT
brj-22439	251	17	.	.	PUNCT
brj-22439	252	1	"	"	PUNCT
brj-22439	252	2	a	a	DET
brj-22439	252	3	probabilistic	probabilistic	ADJ
brj-22439	252	4	interpretation	interpretation	NOUN
brj-22439	252	5	of	of	ADP
brj-22439	252	6	precision	precision	NOUN
brj-22439	252	7	,	,	PUNCT
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brj-22439	252	10	f	f	NOUN
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brj-22439	252	12	score	score	NOUN
brj-22439	252	13	,	,	PUNCT
brj-22439	252	14	with	with	ADP
brj-22439	252	15	implication	implication	NOUN
brj-22439	252	16	for	for	ADP
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brj-22439	252	18	,	,	PUNCT
brj-22439	252	19	"	"	PUNCT
brj-22439	252	20	in	in	ADP
brj-22439	252	21	:	:	PUNCT
brj-22439	252	22	proceedings	proceeding	NOUN
brj-22439	252	23	of	of	ADP
brj-22439	252	24	27th	27th	ADJ
brj-22439	252	25	european	european	ADJ
brj-22439	252	26	conference	conference	NOUN
brj-22439	252	27	on	on	ADP
brj-22439	252	28	information	information	NOUN
brj-22439	252	29	retrieval	retrieval	NOUN
brj-22439	252	30	research	research	NOUN
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brj-22439	252	32	de	de	PROPN
brj-22439	252	33	compostela	compostela	PROPN
brj-22439	252	34	,	,	PUNCT
brj-22439	252	35	spain	spain	PROPN
brj-22439	252	36	,	,	PUNCT
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brj-22439	252	38	.	.	PUNCT
brj-22439	253	1	345	345	NUM
brj-22439	253	2	-	-	SYM
brj-22439	253	3	359	359	NUM
brj-22439	253	4	.	.	PUNCT
brj-22439	254	1	doi	doi	NOUN
brj-22439	254	2	:	:	PUNCT
brj-22439	254	3	10.1007/978	10.1007/978	NUM
brj-22439	254	4	-	-	SYM
brj-22439	254	5	3	3	NUM
brj-22439	254	6	-	-	PUNCT
brj-22439	254	7	540	540	NUM
brj-22439	254	8	-	-	PUNCT
brj-22439	254	9	31865	31865	NUM
brj-22439	254	10	-	-	SYM
brj-22439	254	11	1_25	1_25	NUM
brj-22439	254	12	he	he	PRON
brj-22439	254	13	,	,	PUNCT
brj-22439	254	14	t.	t.	PROPN
brj-22439	254	15	,	,	PUNCT
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brj-22439	254	17	,	,	PUNCT
brj-22439	254	18	y.	y.	PROPN
brj-22439	254	19	,	,	PUNCT
brj-22439	254	20	xu	xu	PROPN
brj-22439	254	21	,	,	PUNCT
brj-22439	254	22	c.	c.	PROPN
brj-22439	254	23	,	,	PUNCT
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brj-22439	254	25	,	,	PUNCT
brj-22439	254	26	x.	x.	PROPN
brj-22439	254	27	,	,	PUNCT
brj-22439	254	28	hu	hu	PROPN
brj-22439	254	29	,	,	PUNCT
brj-22439	254	30	z.	z.	PROPN
brj-22439	254	31	,	,	PUNCT
brj-22439	254	32	and	and	CCONJ
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brj-22439	254	34	,	,	PUNCT
brj-22439	254	35	j.	j.	PROPN
brj-22439	254	36	(	(	PUNCT
brj-22439	254	37	2019	2019	NUM
brj-22439	254	38	)	)	PUNCT
brj-22439	254	39	.	.	PUNCT
brj-22439	255	1	"	"	PUNCT
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brj-22439	255	4	convolutional	convolutional	ADJ
brj-22439	255	5	neural	neural	ADJ
brj-22439	255	6	network	network	NOUN
brj-22439	255	7	for	for	ADP
brj-22439	255	8	wood	wood	NOUN
brj-22439	255	9	defect	defect	NOUN
brj-22439	255	10	location	location	NOUN
brj-22439	255	11	and	and	CCONJ
brj-22439	255	12	identification	identification	NOUN
brj-22439	255	13	,	,	PUNCT
brj-22439	255	14	"	"	PUNCT
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brj-22439	255	17	7	7	NUM
brj-22439	255	18	,	,	PUNCT
brj-22439	255	19	123453123462	123453123462	NUM
brj-22439	255	20	.	.	PUNCT
brj-22439	256	1	doi	doi	NOUN
brj-22439	256	2	:	:	PUNCT
brj-22439	256	3	10.1109	10.1109	NUM
brj-22439	256	4	/	/	SYM
brj-22439	256	5	access.2019.2937461	access.2019.2937461	NUM
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brj-22439	256	7	,	,	PUNCT
brj-22439	256	8	z.	z.	PROPN
brj-22439	256	9	,	,	PUNCT
brj-22439	256	10	liu	liu	PROPN
brj-22439	256	11	,	,	PUNCT
brj-22439	256	12	x.	x.	NOUN
brj-22439	256	13	,	,	PUNCT
brj-22439	256	14	and	and	CCONJ
brj-22439	256	15	chen	chen	PROPN
brj-22439	256	16	l.	l.	PROPN
brj-22439	256	17	(	(	PUNCT
brj-22439	256	18	2020	2020	NUM
brj-22439	256	19	)	)	PUNCT
brj-22439	256	20	.	.	PUNCT
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brj-22439	257	12	"	"	PUNCT
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brj-22439	257	14	:	:	PUNCT
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brj-22439	257	23	conference	conference	NOUN
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brj-22439	257	25	communication	communication	NOUN
brj-22439	257	26	,	,	PUNCT
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brj-22439	257	41	.	.	PUNCT
brj-22439	258	1	doi	doi	NOUN
brj-22439	258	2	:	:	PUNCT
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brj-22439	258	4	-	-	PUNCT
brj-22439	258	5	899x/790/1/012062	899x/790/1/012062	NUM
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brj-22439	258	8	k.	k.	PROPN
brj-22439	258	9	,	,	PUNCT
brj-22439	258	10	wang	wang	PROPN
brj-22439	258	11	,	,	PUNCT
brj-22439	258	12	b.	b.	PROPN
brj-22439	258	13	,	,	PUNCT
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brj-22439	258	15	,	,	PUNCT
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brj-22439	258	20	j.	j.	PROPN
brj-22439	258	21	,	,	PUNCT
brj-22439	258	22	and	and	CCONJ
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brj-22439	258	28	)	)	PUNCT
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brj-22439	260	1	doi	doi	NOUN
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brj-22439	260	18	h.	h.	PROPN
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brj-22439	260	34	)	)	PUNCT
brj-22439	260	35	.	.	PUNCT
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brj-22439	261	12	and	and	CCONJ
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brj-22439	261	23	,	,	PUNCT
brj-22439	261	24	1	1	NUM
brj-22439	261	25	-	-	SYM
brj-22439	261	26	13	13	NUM
brj-22439	261	27	.	.	PUNCT
brj-22439	262	1	doi	doi	NOUN
brj-22439	262	2	:	:	PUNCT
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brj-22439	262	7	0051	0051	NUM
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brj-22439	262	10	d.	d.	PROPN
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brj-22439	262	18	c.	c.	PROPN
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brj-22439	262	26	y.	y.	PROPN
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brj-22439	262	28	and	and	CCONJ
brj-22439	262	29	kong	kong	PROPN
brj-22439	262	30	,	,	PUNCT
brj-22439	262	31	j.	j.	PROPN
brj-22439	262	32	(	(	PUNCT
brj-22439	262	33	2021	2021	NUM
brj-22439	262	34	)	)	PUNCT
brj-22439	262	35	.	.	PUNCT
brj-22439	263	1	"	"	PUNCT
brj-22439	263	2	semantic	semantic	ADJ
brj-22439	263	3	segmentation	segmentation	NOUN
brj-22439	263	4	for	for	ADP
brj-22439	263	5	multiscale	multiscale	ADJ
brj-22439	263	6	target	target	NOUN
brj-22439	263	7	based	base	VERB
brj-22439	263	8	on	on	ADP
brj-22439	263	9	object	object	NOUN
brj-22439	263	10	recognition	recognition	NOUN
brj-22439	263	11	using	use	VERB
brj-22439	263	12	the	the	DET
brj-22439	263	13	improved	improved	ADJ
brj-22439	263	14	faster	fast	ADJ
brj-22439	263	15	-	-	PUNCT
brj-22439	263	16	rcnn	rcnn	NOUN
brj-22439	263	17	model	model	NOUN
brj-22439	263	18	,	,	PUNCT
brj-22439	263	19	"	"	PUNCT
brj-22439	263	20	future	future	ADJ
brj-22439	263	21	generation	generation	NOUN
brj-22439	263	22	computer	computer	NOUN
brj-22439	263	23	systems	system	NOUN
brj-22439	263	24	123	123	NUM
brj-22439	263	25	,	,	PUNCT
brj-22439	263	26	94	94	NUM
brj-22439	263	27	-	-	SYM
brj-22439	263	28	104	104	NUM
brj-22439	263	29	.	.	PUNCT
brj-22439	264	1	doi	doi	NOUN
brj-22439	264	2	:	:	PUNCT
brj-22439	264	3	10.1016	10.1016	NUM
brj-22439	264	4	/	/	SYM
brj-22439	264	5	j.future.2021.04.019	j.future.2021.04.019	PROPN
brj-22439	264	6	jiang	jiang	PROPN
brj-22439	264	7	,	,	PUNCT
brj-22439	264	8	z.	z.	PROPN
brj-22439	264	9	,	,	PUNCT
brj-22439	264	10	and	and	CCONJ
brj-22439	264	11	shi	shi	PROPN
brj-22439	264	12	,	,	PUNCT
brj-22439	264	13	x.	x.	NOUN
brj-22439	264	14	(	(	PUNCT
brj-22439	264	15	2021	2021	NUM
brj-22439	264	16	)	)	PUNCT
brj-22439	264	17	.	.	PUNCT
brj-22439	265	1	"	"	PUNCT
brj-22439	265	2	application	application	NOUN
brj-22439	265	3	research	research	NOUN
brj-22439	265	4	of	of	ADP
brj-22439	265	5	key	key	ADJ
brj-22439	265	6	frames	frame	NOUN
brj-22439	265	7	extraction	extraction	NOUN
brj-22439	265	8	technology	technology	NOUN
brj-22439	265	9	combined	combine	VERB
brj-22439	265	10	with	with	ADP
brj-22439	265	11	optimized	optimize	VERB
brj-22439	265	12	faster	fast	ADJ
brj-22439	265	13	r	r	NOUN
brj-22439	265	14	-	-	PUNCT
brj-22439	265	15	cnn	cnn	PROPN
brj-22439	265	16	algorithm	algorithm	NOUN
brj-22439	265	17	in	in	ADP
brj-22439	265	18	traffic	traffic	NOUN
brj-22439	265	19	video	video	NOUN
brj-22439	265	20	analysis	analysis	NOUN
brj-22439	265	21	,	,	PUNCT
brj-22439	265	22	"	"	PUNCT
brj-22439	265	23	complexity	complexity	NOUN
brj-22439	265	24	2021	2021	NUM
brj-22439	265	25	,	,	PUNCT
brj-22439	265	26	article	article	NOUN
brj-22439	265	27	i	i	PROPN
brj-22439	265	28	d	d	PROPN
brj-22439	265	29	6620425	6620425	NUM
brj-22439	265	30	.	.	PUNCT
brj-22439	266	1	doi	doi	NOUN
brj-22439	266	2	:	:	PUNCT
brj-22439	266	3	10.1155/2021/6620425	10.1155/2021/6620425	NUM
brj-22439	266	4	kim	kim	PROPN
brj-22439	266	5	,	,	PUNCT
brj-22439	266	6	m.	m.	NOUN
brj-22439	266	7	,	,	PUNCT
brj-22439	266	8	kim	kim	PROPN
brj-22439	266	9	,	,	PUNCT
brj-22439	266	10	h.	h.	PROPN
brj-22439	266	11	,	,	PUNCT
brj-22439	266	12	lee	lee	PROPN
brj-22439	266	13	,	,	PUNCT
brj-22439	266	14	c.	c.	PROPN
brj-22439	266	15	,	,	PUNCT
brj-22439	266	16	and	and	CCONJ
brj-22439	266	17	kang	kang	PROPN
brj-22439	266	18	b.	b.	PROPN
brj-22439	266	19	(	(	PUNCT
brj-22439	266	20	2021	2021	NUM
brj-22439	266	21	)	)	PUNCT
brj-22439	266	22	.	.	PUNCT
brj-22439	267	1	"	"	PUNCT
brj-22439	267	2	detection	detection	NOUN
brj-22439	267	3	of	of	ADP
brj-22439	267	4	pneumoperitoneum	pneumoperitoneum	NOUN
brj-22439	267	5	in	in	ADP
brj-22439	267	6	the	the	DET
brj-22439	267	7	abdominal	abdominal	ADJ
brj-22439	267	8	radiograph	radiograph	NOUN
brj-22439	267	9	images	image	NOUN
brj-22439	267	10	using	use	VERB
brj-22439	267	11	artificial	artificial	ADJ
brj-22439	267	12	neural	neural	ADJ
brj-22439	267	13	networks	network	NOUN
brj-22439	267	14	,	,	PUNCT
brj-22439	267	15	"	"	PUNCT
brj-22439	267	16	european	european	ADJ
brj-22439	267	17	journal	journal	PROPN
brj-22439	267	18	of	of	ADP
brj-22439	267	19	radiology	radiology	NOUN
brj-22439	267	20	open	open	ADJ
brj-22439	267	21	8	8	NUM
brj-22439	267	22	,	,	PUNCT
brj-22439	267	23	article	article	NOUN
brj-22439	267	24	i	i	PROPN
brj-22439	267	25	d	d	PROPN
brj-22439	267	26	100316	100316	NUM
brj-22439	267	27	.	.	PUNCT
brj-22439	268	1	doi	doi	NOUN
brj-22439	268	2	:	:	PUNCT
brj-22439	268	3	10.1016	10.1016	NUM
brj-22439	268	4	/	/	SYM
brj-22439	268	5	j.ejro.2020.100316	j.ejro.2020.100316	PROPN
brj-22439	268	6	kryl	kryl	PROPN
brj-22439	268	7	,	,	PUNCT
brj-22439	268	8	m.	m.	NOUN
brj-22439	268	9	,	,	PUNCT
brj-22439	268	10	danys	danys	PROPN
brj-22439	268	11	,	,	PUNCT
brj-22439	268	12	l.	l.	PROPN
brj-22439	268	13	,	,	PUNCT
brj-22439	268	14	jaros	jaros	PROPN
brj-22439	268	15	,	,	PUNCT
brj-22439	268	16	r.	r.	PROPN
brj-22439	268	17	,	,	PUNCT
brj-22439	268	18	martinek	martinek	ADJ
brj-22439	268	19	,	,	PUNCT
brj-22439	268	20	r.	r.	PROPN
brj-22439	268	21	,	,	PUNCT
brj-22439	268	22	kodytek	kodytek	PROPN
brj-22439	268	23	,	,	PUNCT
brj-22439	268	24	p.	p.	NOUN
brj-22439	268	25	,	,	PUNCT
brj-22439	268	26	and	and	CCONJ
brj-22439	268	27	bilik	bilik	NOUN
brj-22439	268	28	,	,	PUNCT
brj-22439	268	29	p.	p.	NOUN
brj-22439	268	30	(	(	PUNCT
brj-22439	268	31	2020	2020	NUM
brj-22439	268	32	)	)	PUNCT
brj-22439	268	33	.	.	PUNCT
brj-22439	269	1	"	"	PUNCT
brj-22439	269	2	wood	wood	NOUN
brj-22439	269	3	recognition	recognition	NOUN
brj-22439	269	4	and	and	CCONJ
brj-22439	269	5	quality	quality	NOUN
brj-22439	269	6	imaging	imaging	NOUN
brj-22439	269	7	inspection	inspection	NOUN
brj-22439	269	8	systems	system	NOUN
brj-22439	269	9	,	,	PUNCT
brj-22439	269	10	"	"	PUNCT
brj-22439	269	11	journal	journal	NOUN
brj-22439	269	12	of	of	ADP
brj-22439	269	13	sensors	sensor	NOUN
brj-22439	269	14	2020	2020	NUM
brj-22439	269	15	,	,	PUNCT
brj-22439	269	16	article	article	NOUN
brj-22439	269	17	i	i	PROPN
brj-22439	269	18	d	d	PROPN
brj-22439	269	19	3217126	3217126	NUM
brj-22439	269	20	.	.	PUNCT
brj-22439	270	1	doi	doi	NOUN
brj-22439	270	2	:	:	PUNCT
brj-22439	270	3	10.1155/2020/3217126	10.1155/2020/3217126	NUM
brj-22439	270	4	liu	liu	PROPN
brj-22439	270	5	,	,	PUNCT
brj-22439	270	6	y.	y.	PROPN
brj-22439	270	7	,	,	PUNCT
brj-22439	270	8	hou	hou	PROPN
brj-22439	270	9	,	,	PUNCT
brj-22439	270	10	m.	m.	NOUN
brj-22439	270	11	,	,	PUNCT
brj-22439	270	12	li	li	PROPN
brj-22439	270	13	,	,	PUNCT
brj-22439	270	14	a.	a.	PROPN
brj-22439	270	15	,	,	PUNCT
brj-22439	270	16	dong	dong	PROPN
brj-22439	270	17	,	,	PUNCT
brj-22439	270	18	y.	y.	PROPN
brj-22439	270	19	,	,	PUNCT
brj-22439	270	20	xie	xie	PROPN
brj-22439	270	21	,	,	PUNCT
brj-22439	270	22	l.	l.	PROPN
brj-22439	270	23	,	,	PUNCT
brj-22439	270	24	and	and	CCONJ
brj-22439	270	25	ji	ji	PROPN
brj-22439	270	26	,	,	PUNCT
brj-22439	270	27	y.	y.	PROPN
brj-22439	270	28	(	(	PUNCT
brj-22439	270	29	2020	2020	NUM
brj-22439	270	30	)	)	PUNCT
brj-22439	270	31	.	.	PUNCT
brj-22439	271	1	"	"	PUNCT
brj-22439	271	2	automatic	automatic	ADJ
brj-22439	271	3	detection	detection	NOUN
brj-22439	271	4	of	of	ADP
brj-22439	271	5	timber	timber	NOUN
brj-22439	271	6	-	-	PUNCT
brj-22439	271	7	cracks	crack	NOUN
brj-22439	271	8	in	in	ADP
brj-22439	271	9	wooden	wooden	ADJ
brj-22439	271	10	architectural	architectural	ADJ
brj-22439	271	11	heritage	heritage	NOUN
brj-22439	271	12	using	use	VERB
brj-22439	271	13	yolov3	yolov3	PROPN
brj-22439	271	14	algorithm	algorithm	PROPN
brj-22439	271	15	,	,	PUNCT
brj-22439	271	16	"	"	PUNCT
brj-22439	271	17	in	in	ADP
brj-22439	271	18	:	:	PUNCT
brj-22439	271	19	proceedings	proceeding	NOUN
brj-22439	271	20	of	of	ADP
brj-22439	271	21	international	international	ADJ
brj-22439	271	22	archives	archive	NOUN
brj-22439	271	23	of	of	ADP
brj-22439	271	24	the	the	DET
brj-22439	271	25	photogrammetry	photogrammetry	NOUN
brj-22439	271	26	,	,	PUNCT
brj-22439	271	27	remote	remote	ADJ
brj-22439	271	28	sensing	sensing	NOUN
brj-22439	271	29	and	and	CCONJ
brj-22439	271	30	spatial	spatial	ADJ
brj-22439	271	31	information	information	NOUN
brj-22439	271	32	sciences	science	NOUN
brj-22439	271	33	,	,	PUNCT
brj-22439	271	34	safranbolu	safranbolu	ADV
brj-22439	271	35	,	,	PUNCT
brj-22439	271	36	turkey	turkey	PROPN
brj-22439	271	37	,	,	PUNCT
brj-22439	271	38	pp	pp	ADJ
brj-22439	271	39	.	.	PUNCT
brj-22439	272	1	1471	1471	NUM
brj-22439	272	2	-	-	SYM
brj-22439	272	3	1476	1476	NUM
brj-22439	272	4	.	.	PUNCT
brj-22439	273	1	doi	doi	NOUN
brj-22439	273	2	:	:	PUNCT
brj-22439	273	3	10.5194	10.5194	NUM
brj-22439	273	4	/	/	SYM
brj-22439	273	5	isprs	isprs	NOUN
brj-22439	273	6	-	-	PUNCT
brj-22439	273	7	archives	archive	NOUN
brj-22439	273	8	-	-	PUNCT
brj-22439	273	9	xliii	xliii	NOUN
brj-22439	273	10	-	-	PUNCT
brj-22439	273	11	b2	b2	NOUN
brj-22439	273	12	-	-	PUNCT
brj-22439	273	13	2020	2020	NUM
brj-22439	273	14	-	-	PUNCT
brj-22439	273	15	1471	1471	NUM
brj-22439	273	16	-	-	SYM
brj-22439	273	17	2020	2020	NUM
brj-22439	273	18	nguyen	nguyen	NOUN
brj-22439	273	19	,	,	PUNCT
brj-22439	273	20	c.	c.	PROPN
brj-22439	273	21	c.	c.	PROPN
brj-22439	273	22	,	,	PUNCT
brj-22439	273	23	tran	tran	PROPN
brj-22439	273	24	,	,	PUNCT
brj-22439	273	25	g.	g.	PROPN
brj-22439	273	26	s.	s.	PROPN
brj-22439	273	27	,	,	PUNCT
brj-22439	273	28	nguyen	nguyen	PROPN
brj-22439	273	29	,	,	PUNCT
brj-22439	273	30	v.	v.	PROPN
brj-22439	273	31	t.	t.	PROPN
brj-22439	273	32	,	,	PUNCT
brj-22439	273	33	burie	burie	ADJ
brj-22439	273	34	,	,	PUNCT
brj-22439	273	35	j.-c	j.-c	PROPN
brj-22439	273	36	.	.	PUNCT
brj-22439	273	37	,	,	PUNCT
brj-22439	273	38	and	and	CCONJ
brj-22439	273	39	nghiem	nghiem	NOUN
brj-22439	273	40	,	,	PUNCT
brj-22439	273	41	t.	t.	PROPN
brj-22439	273	42	p.	p.	PROPN
brj-22439	273	43	(	(	PUNCT
brj-22439	273	44	2021	2021	NUM
brj-22439	273	45	)	)	PUNCT
brj-22439	273	46	.	.	PUNCT
brj-22439	274	1	"	"	PUNCT
brj-22439	274	2	pulmonary	pulmonary	ADJ
brj-22439	274	3	nodule	nodule	NOUN
brj-22439	274	4	detection	detection	NOUN
brj-22439	274	5	based	base	VERB
brj-22439	274	6	on	on	ADP
brj-22439	274	7	faster	fast	ADJ
brj-22439	274	8	r	r	NOUN
brj-22439	274	9	-	-	PUNCT
brj-22439	274	10	cnn	cnn	PROPN
brj-22439	274	11	with	with	ADP
brj-22439	274	12	adaptive	adaptive	ADJ
brj-22439	274	13	anchor	anchor	NOUN
brj-22439	274	14	box	box	NOUN
brj-22439	274	15	,	,	PUNCT
brj-22439	274	16	"	"	PUNCT
brj-22439	274	17	ieee	ieee	NOUN
brj-22439	274	18	access	access	NOUN
brj-22439	274	19	9	9	NUM
brj-22439	274	20	,	,	PUNCT
brj-22439	274	21	154740	154740	NUM
brj-22439	274	22	-	-	SYM
brj-22439	274	23	154751	154751	NUM
brj-22439	274	24	.	.	PUNCT
brj-22439	275	1	doi	doi	NOUN
brj-22439	275	2	:	:	PUNCT
brj-22439	275	3	10.1109	10.1109	NUM
brj-22439	275	4	/	/	SYM
brj-22439	275	5	access.2021.3128942	access.2021.3128942	ADJ
brj-22439	275	6	olofsson	olofsson	PROPN
brj-22439	275	7	,	,	PUNCT
brj-22439	275	8	l.	l.	PROPN
brj-22439	275	9	,	,	PUNCT
brj-22439	275	10	broman	broman	NOUN
brj-22439	275	11	,	,	PUNCT
brj-22439	275	12	o.	o.	PROPN
brj-22439	275	13	,	,	PUNCT
brj-22439	275	14	oja	oja	PROPN
brj-22439	275	15	,	,	PUNCT
brj-22439	275	16	j.	j.	PROPN
brj-22439	275	17	,	,	PUNCT
brj-22439	275	18	and	and	CCONJ
brj-22439	275	19	sandberg	sandberg	PROPN
brj-22439	275	20	,	,	PUNCT
brj-22439	275	21	d.	d.	PROPN
brj-22439	275	22	(	(	PUNCT
brj-22439	275	23	2021	2021	NUM
brj-22439	275	24	)	)	PUNCT
brj-22439	275	25	.	.	PUNCT
brj-22439	276	1	"	"	PUNCT
brj-22439	276	2	product	product	NOUN
brj-22439	276	3	-	-	PUNCT
brj-22439	276	4	adapted	adapt	VERB
brj-22439	276	5	grading	grading	NOUN
brj-22439	276	6	of	of	ADP
brj-22439	276	7	scots	scot	NOUN
brj-22439	276	8	pine	pine	ADJ
brj-22439	276	9	sawn	sawn	NOUN
brj-22439	276	10	timber	timber	NOUN
brj-22439	276	11	by	by	ADP
brj-22439	276	12	an	an	DET
brj-22439	276	13	industrial	industrial	ADJ
brj-22439	276	14	ct	ct	NOUN
brj-22439	276	15	-	-	PUNCT
brj-22439	276	16	scanner	scanner	NOUN
brj-22439	276	17	using	use	VERB
brj-22439	276	18	a	a	DET
brj-22439	276	19	visually	visually	ADV
brj-22439	276	20	trained	train	VERB
brj-22439	276	21	machinelearning	machinelearning	NOUN
brj-22439	276	22	method	method	NOUN
brj-22439	276	23	,	,	PUNCT
brj-22439	276	24	"	"	PUNCT
brj-22439	276	25	wood	wood	NOUN
brj-22439	276	26	material	material	NOUN
brj-22439	276	27	science	science	NOUN
brj-22439	276	28	&	&	CCONJ
brj-22439	276	29	engineering	engineering	PROPN
brj-22439	276	30	16(4	16(4	PROPN
brj-22439	276	31	)	)	PUNCT
brj-22439	276	32	,	,	PUNCT
brj-22439	276	33	279	279	NUM
brj-22439	276	34	-	-	SYM
brj-22439	276	35	286	286	NUM
brj-22439	276	36	.	.	PUNCT
brj-22439	277	1	doi	doi	NOUN
brj-22439	277	2	:	:	PUNCT
brj-22439	277	3	10.1080/17480272.2021.1955298	10.1080/17480272.2021.1955298	NUM
brj-22439	277	4	peer	peer	NOUN
brj-22439	277	5	-	-	PUNCT
brj-22439	277	6	reviewed	review	VERB
brj-22439	277	7	article	article	NOUN
brj-22439	277	8	bioresources.com	bioresources.com	X
brj-22439	277	9	chen	chen	PROPN
brj-22439	277	10	et	et	PROPN
brj-22439	277	11	al	al	PROPN
brj-22439	277	12	.	.	PROPN
brj-22439	277	13	(	(	PUNCT
brj-22439	277	14	2023	2023	NUM
brj-22439	277	15	)	)	PUNCT
brj-22439	277	16	.	.	PUNCT
brj-22439	278	1	“	"	PUNCT
brj-22439	278	2	timber	timber	NOUN
brj-22439	278	3	knot	knot	NOUN
brj-22439	278	4	detector	detector	NOUN
brj-22439	278	5	with	with	ADP
brj-22439	278	6	r	r	NOUN
brj-22439	278	7	-	-	PUNCT
brj-22439	278	8	cnn	cnn	PROPN
brj-22439	278	9	,	,	PUNCT
brj-22439	278	10	”	"	PUNCT
brj-22439	278	11	bioresources	bioresource	NOUN
brj-22439	278	12	18(3	18(3	NUM
brj-22439	278	13	)	)	PUNCT
brj-22439	278	14	,	,	PUNCT
brj-22439	278	15	4964	4964	NUM
brj-22439	278	16	-	-	SYM
brj-22439	278	17	4976	4976	NUM
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brj-22439	279	19	2019	2019	NUM
brj-22439	279	20	)	)	PUNCT
brj-22439	279	21	.	.	PUNCT
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brj-22439	280	16	:	:	PUNCT
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brj-22439	280	28	-	-	PUNCT
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brj-22439	280	32	:	:	PUNCT
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brj-22439	280	45	.	.	PUNCT
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brj-22439	281	2	:	:	PUNCT
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brj-22439	281	4	-	-	PUNCT
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brj-22439	281	11	,	,	PUNCT
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brj-22439	281	19	sun	sun	PROPN
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brj-22439	281	22	2017	2017	NUM
brj-22439	281	23	)	)	PUNCT
brj-22439	281	24	.	.	PUNCT
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brj-22439	282	4	-	-	PUNCT
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brj-22439	282	6	:	:	PUNCT
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brj-22439	282	9	-	-	PUNCT
brj-22439	282	10	time	time	NOUN
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brj-22439	282	15	proposal	proposal	NOUN
brj-22439	282	16	networks	network	NOUN
brj-22439	282	17	.	.	PUNCT
brj-22439	282	18	"	"	PUNCT
brj-22439	282	19	ieee	ieee	NOUN
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brj-22439	282	21	on	on	ADP
brj-22439	282	22	pattern	pattern	NOUN
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brj-22439	282	24	and	and	CCONJ
brj-22439	282	25	machine	machine	NOUN
brj-22439	282	26	intelligence	intelligence	NOUN
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brj-22439	282	28	,	,	PUNCT
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brj-22439	282	30	-	-	SYM
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brj-22439	282	32	.	.	PUNCT
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brj-22439	283	14	,	,	PUNCT
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brj-22439	283	16	,	,	PUNCT
brj-22439	283	17	l.	l.	PROPN
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brj-22439	283	21	h.	h.	PROPN
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brj-22439	283	23	and	and	CCONJ
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brj-22439	283	26	h.	h.	PROPN
brj-22439	283	27	(	(	PUNCT
brj-22439	283	28	2018	2018	NUM
brj-22439	283	29	)	)	PUNCT
brj-22439	283	30	.	.	PUNCT
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brj-22439	284	11	neural	neural	ADJ
brj-22439	284	12	networks	network	NOUN
brj-22439	284	13	,	,	PUNCT
brj-22439	284	14	"	"	PUNCT
brj-22439	284	15	in	in	ADP
brj-22439	284	16	:	:	PUNCT
brj-22439	284	17	proceedings	proceeding	NOUN
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brj-22439	284	25	,	,	PUNCT
brj-22439	284	26	germany	germany	PROPN
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brj-22439	284	29	.	.	PUNCT
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brj-22439	285	2	-	-	SYM
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brj-22439	285	4	.	.	PUNCT
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brj-22439	286	4	-	-	SYM
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brj-22439	286	6	-	-	PUNCT
brj-22439	286	7	030	030	NUM
brj-22439	286	8	-	-	PUNCT
brj-22439	286	9	12939	12939	NUM
brj-22439	286	10	-	-	PUNCT
brj-22439	286	11	2_9	2_9	NUM
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brj-22439	286	13	,	,	PUNCT
brj-22439	286	14	j.	j.	PROPN
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brj-22439	286	17	,	,	PUNCT
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brj-22439	286	21	,	,	PUNCT
brj-22439	286	22	t.	t.	PROPN
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brj-22439	286	34	)	)	PUNCT
brj-22439	286	35	.	.	PUNCT
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brj-22439	287	16	r	r	NOUN
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brj-22439	287	28	.	.	PUNCT
brj-22439	288	1	doi	doi	NOUN
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brj-22439	288	16	,	,	PUNCT
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brj-22439	288	19	2021	2021	NUM
brj-22439	288	20	)	)	PUNCT
brj-22439	288	21	.	.	PUNCT
brj-22439	289	1	"	"	PUNCT
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brj-22439	289	9	-	-	PUNCT
brj-22439	289	10	cnn	cnn	PROPN
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brj-22439	289	13	"	"	PUNCT
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brj-22439	289	21	,	,	PUNCT
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brj-22439	289	24	d	d	PROPN
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brj-22439	289	26	.	.	PUNCT
brj-22439	290	1	doi	doi	NOUN
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brj-22439	290	22	2021	2021	NUM
brj-22439	290	23	)	)	PUNCT
brj-22439	290	24	.	.	PUNCT
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brj-22439	291	12	data	datum	NOUN
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brj-22439	291	16	-	-	PUNCT
brj-22439	291	17	cnn	cnn	PROPN
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brj-22439	291	19	"	"	PUNCT
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brj-22439	291	22	of	of	ADP
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brj-22439	291	25	observation	observation	NOUN
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brj-22439	291	34	.	.	PUNCT
brj-22439	292	1	doi	doi	NOUN
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brj-22439	292	4	/	/	SYM
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brj-22439	292	13	,	,	PUNCT
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brj-22439	292	15	,	,	PUNCT
brj-22439	292	16	s.	s.	PROPN
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brj-22439	292	18	and	and	CCONJ
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brj-22439	292	24	)	)	PUNCT
brj-22439	292	25	.	.	PUNCT
brj-22439	293	1	"	"	PUNCT
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brj-22439	293	6	-	-	PUNCT
brj-22439	293	7	time	time	NOUN
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brj-22439	293	16	"	"	PUNCT
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brj-22439	293	24	,	,	PUNCT
brj-22439	293	25	article	article	NOUN
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brj-22439	293	28	2501911	2501911	NUM
brj-22439	293	29	.	.	PUNCT
brj-22439	294	1	doi	doi	NOUN
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brj-22439	294	10	,	,	PUNCT
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brj-22439	294	12	,	,	PUNCT
brj-22439	294	13	a.-a	a.-a	PROPN
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brj-22439	294	15	,	,	PUNCT
brj-22439	294	16	and	and	CCONJ
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brj-22439	294	19	e.-h	e.-h	PROPN
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brj-22439	295	2	2022	2022	NUM
brj-22439	295	3	)	)	PUNCT
brj-22439	295	4	.	.	PUNCT
brj-22439	296	1	"	"	PUNCT
brj-22439	296	2	a	a	DET
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brj-22439	296	5	modern	modern	ADJ
brj-22439	296	6	defect	defect	NOUN
brj-22439	296	7	detection	detection	NOUN
brj-22439	296	8	models	model	NOUN
brj-22439	296	9	using	use	VERB
brj-22439	296	10	dcnns	dcnns	ADJ
brj-22439	296	11	deep	deep	ADJ
brj-22439	296	12	convolutional	convolutional	ADJ
brj-22439	296	13	neural	neural	ADJ
brj-22439	296	14	networks	network	NOUN
brj-22439	296	15	,	,	PUNCT
brj-22439	296	16	"	"	PUNCT
brj-22439	296	17	journal	journal	NOUN
brj-22439	296	18	of	of	ADP
brj-22439	296	19	advanced	advanced	ADJ
brj-22439	296	20	research	research	NOUN
brj-22439	296	21	35	35	NUM
brj-22439	296	22	,	,	PUNCT
brj-22439	296	23	33	33	NUM
brj-22439	296	24	-	-	SYM
brj-22439	296	25	48	48	NUM
brj-22439	296	26	.	.	PUNCT
brj-22439	297	1	doi	doi	NOUN
brj-22439	297	2	:	:	PUNCT
brj-22439	297	3	10.1016	10.1016	NUM
brj-22439	297	4	/	/	SYM
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brj-22439	297	6	urbonas	urbonas	PROPN
brj-22439	297	7	,	,	PUNCT
brj-22439	297	8	a.	a.	NOUN
brj-22439	297	9	,	,	PUNCT
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brj-22439	297	11	,	,	PUNCT
brj-22439	297	12	v.	v.	ADV
brj-22439	297	13	,	,	PUNCT
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brj-22439	297	15	,	,	PUNCT
brj-22439	297	16	r.	r.	PROPN
brj-22439	297	17	,	,	PUNCT
brj-22439	297	18	and	and	CCONJ
brj-22439	297	19	damaševičius	damaševičius	ADJ
brj-22439	297	20	,	,	PUNCT
brj-22439	297	21	r.	r.	PROPN
brj-22439	297	22	(	(	PUNCT
brj-22439	297	23	2019	2019	NUM
brj-22439	297	24	)	)	PUNCT
brj-22439	297	25	.	.	PUNCT
brj-22439	298	1	"	"	PUNCT
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brj-22439	298	3	identification	identification	NOUN
brj-22439	298	4	of	of	ADP
brj-22439	298	5	wood	wood	NOUN
brj-22439	298	6	veneer	veneer	NOUN
brj-22439	298	7	surface	surface	NOUN
brj-22439	298	8	defects	defect	NOUN
brj-22439	298	9	using	use	VERB
brj-22439	298	10	faster	fast	ADJ
brj-22439	298	11	region	region	NOUN
brj-22439	298	12	-	-	PUNCT
brj-22439	298	13	based	base	VERB
brj-22439	298	14	convolutional	convolutional	ADJ
brj-22439	298	15	neural	neural	ADJ
brj-22439	298	16	network	network	NOUN
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brj-22439	298	18	data	datum	NOUN
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brj-22439	298	20	and	and	CCONJ
brj-22439	298	21	transfer	transfer	NOUN
brj-22439	298	22	learning	learning	NOUN
brj-22439	298	23	,	,	PUNCT
brj-22439	298	24	"	"	PUNCT
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brj-22439	298	26	sciences	science	NOUN
brj-22439	298	27	9(22	9(22	NUM
brj-22439	298	28	)	)	PUNCT
brj-22439	298	29	,	,	PUNCT
brj-22439	298	30	4898	4898	NUM
brj-22439	298	31	-	-	SYM
brj-22439	298	32	4918	4918	NUM
brj-22439	298	33	.	.	PUNCT
brj-22439	299	1	doi	doi	NOUN
brj-22439	299	2	:	:	PUNCT
brj-22439	299	3	10.3390	10.3390	NUM
brj-22439	299	4	/	/	SYM
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brj-22439	299	6	wang	wang	PROPN
brj-22439	299	7	,	,	PUNCT
brj-22439	299	8	y.	y.	PROPN
brj-22439	299	9	,	,	PUNCT
brj-22439	299	10	zhang	zhang	PROPN
brj-22439	299	11	,	,	PUNCT
brj-22439	299	12	w.	w.	PROPN
brj-22439	299	13	,	,	PUNCT
brj-22439	299	14	gao	gao	PROPN
brj-22439	299	15	,	,	PUNCT
brj-22439	299	16	r.	r.	PROPN
brj-22439	299	17	,	,	PUNCT
brj-22439	299	18	jin	jin	PROPN
brj-22439	299	19	,	,	PUNCT
brj-22439	299	20	z.	z.	PROPN
brj-22439	299	21	,	,	PUNCT
brj-22439	299	22	and	and	CCONJ
brj-22439	299	23	wang	wang	PROPN
brj-22439	299	24	,	,	PUNCT
brj-22439	299	25	x.	x.	NOUN
brj-22439	299	26	(	(	PUNCT
brj-22439	299	27	2021	2021	NUM
brj-22439	299	28	)	)	PUNCT
brj-22439	299	29	.	.	PUNCT
brj-22439	300	1	"	"	PUNCT
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brj-22439	300	3	advances	advance	NOUN
brj-22439	300	4	in	in	ADP
brj-22439	300	5	the	the	DET
brj-22439	300	6	application	application	NOUN
brj-22439	300	7	of	of	ADP
brj-22439	300	8	deep	deep	ADJ
brj-22439	300	9	learning	learning	NOUN
brj-22439	300	10	methods	method	NOUN
brj-22439	300	11	to	to	PART
brj-22439	300	12	forestry	forestry	VERB
brj-22439	300	13	,	,	PUNCT
brj-22439	300	14	"	"	PUNCT
brj-22439	300	15	wood	wood	NOUN
brj-22439	300	16	science	science	NOUN
brj-22439	300	17	and	and	CCONJ
brj-22439	300	18	technology	technology	NOUN
brj-22439	300	19	55	55	NUM
brj-22439	300	20	,	,	PUNCT
brj-22439	300	21	1171–1202	1171–1202	NOUN
brj-22439	300	22	.	.	PUNCT
brj-22439	301	1	doi	doi	NOUN
brj-22439	301	2	:	:	PUNCT
brj-22439	301	3	10.1007	10.1007	NUM
brj-22439	301	4	/	/	SYM
brj-22439	301	5	s00226	s00226	PROPN
brj-22439	301	6	-	-	PUNCT
brj-22439	301	7	021	021	NUM
brj-22439	301	8	-	-	PUNCT
brj-22439	301	9	01309	01309	NUM
brj-22439	301	10	-	-	PUNCT
brj-22439	301	11	2	2	NUM
brj-22439	301	12	yi	yi	NOUN
brj-22439	301	13	,	,	PUNCT
brj-22439	301	14	d.	d.	PROPN
brj-22439	301	15	,	,	PUNCT
brj-22439	301	16	su	su	PROPN
brj-22439	301	17	,	,	PUNCT
brj-22439	301	18	j.	j.	PROPN
brj-22439	301	19	,	,	PUNCT
brj-22439	301	20	and	and	CCONJ
brj-22439	301	21	chen	chen	PROPN
brj-22439	301	22	,	,	PUNCT
brj-22439	301	23	w.	w.	PROPN
brj-22439	301	24	(	(	PUNCT
brj-22439	301	25	2021	2021	NUM
brj-22439	301	26	)	)	PUNCT
brj-22439	301	27	.	.	PUNCT
brj-22439	302	1	"	"	PUNCT
brj-22439	302	2	probabilistic	probabilistic	VERB
brj-22439	302	3	faster	fast	ADJ
brj-22439	302	4	r	r	NOUN
brj-22439	302	5	-	-	PUNCT
brj-22439	302	6	cnn	cnn	PROPN
brj-22439	302	7	with	with	ADP
brj-22439	302	8	stochastic	stochastic	ADJ
brj-22439	302	9	region	region	NOUN
brj-22439	302	10	proposing	propose	VERB
brj-22439	302	11	:	:	PUNCT
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brj-22439	302	13	object	object	VERB
brj-22439	302	14	detection	detection	NOUN
brj-22439	302	15	and	and	CCONJ
brj-22439	302	16	recognition	recognition	NOUN
brj-22439	302	17	in	in	ADP
brj-22439	302	18	remote	remote	ADJ
brj-22439	302	19	sensing	sensing	NOUN
brj-22439	302	20	imagery	imagery	NOUN
brj-22439	302	21	,	,	PUNCT
brj-22439	302	22	"	"	PUNCT
brj-22439	302	23	neurocomputing	neurocompute	VERB
brj-22439	302	24	459	459	NUM
brj-22439	302	25	,	,	PUNCT
brj-22439	302	26	290	290	NUM
brj-22439	302	27	-	-	SYM
brj-22439	302	28	301	301	NUM
brj-22439	302	29	.	.	PUNCT
brj-22439	302	30	doi	doi	NOUN
brj-22439	302	31	:	:	PUNCT
brj-22439	302	32	10.1016	10.1016	NUM
brj-22439	302	33	/	/	SYM
brj-22439	302	34	j.neucom.2021.06.072	j.neucom.2021.06.072	PROPN
brj-22439	302	35	zhang	zhang	PROPN
brj-22439	302	36	,	,	PUNCT
brj-22439	302	37	z.	z.	PROPN
brj-22439	302	38	,	,	PUNCT
brj-22439	302	39	wang	wang	PROPN
brj-22439	302	40	,	,	PUNCT
brj-22439	302	41	y.	y.	PROPN
brj-22439	302	42	,	,	PUNCT
brj-22439	302	43	zhang	zhang	PROPN
brj-22439	302	44	,	,	PUNCT
brj-22439	302	45	j.	j.	PROPN
brj-22439	302	46	,	,	PUNCT
brj-22439	302	47	and	and	CCONJ
brj-22439	302	48	mu	mu	PROPN
brj-22439	302	49	,	,	PUNCT
brj-22439	302	50	x.	x.	NOUN
brj-22439	302	51	(	(	PUNCT
brj-22439	302	52	2019	2019	NUM
brj-22439	302	53	)	)	PUNCT
brj-22439	302	54	.	.	PUNCT
brj-22439	303	1	"	"	PUNCT
brj-22439	303	2	comparison	comparison	NOUN
brj-22439	303	3	of	of	ADP
brj-22439	303	4	multiple	multiple	ADJ
brj-22439	303	5	feature	feature	NOUN
brj-22439	303	6	extractors	extractor	NOUN
brj-22439	303	7	on	on	ADP
brj-22439	303	8	faster	fast	ADJ
brj-22439	303	9	rcnn	rcnn	NOUN
brj-22439	303	10	for	for	ADP
brj-22439	303	11	breast	breast	NOUN
brj-22439	303	12	tumor	tumor	NOUN
brj-22439	303	13	detection	detection	NOUN
brj-22439	303	14	,	,	PUNCT
brj-22439	303	15	"	"	PUNCT
brj-22439	303	16	in	in	ADP
brj-22439	303	17	:	:	PUNCT
brj-22439	303	18	proceedings	proceeding	NOUN
brj-22439	303	19	of	of	ADP
brj-22439	303	20	8th	8th	ADJ
brj-22439	303	21	ieee	ieee	NOUN
brj-22439	303	22	international	international	ADJ
brj-22439	303	23	symposium	symposium	NOUN
brj-22439	303	24	on	on	ADP
brj-22439	303	25	next	next	ADJ
brj-22439	303	26	-	-	PUNCT
brj-22439	303	27	generation	generation	NOUN
brj-22439	303	28	electronics	electronic	NOUN
brj-22439	303	29	zhenzhou	zhenzhou	PROPN
brj-22439	303	30	,	,	PUNCT
brj-22439	303	31	china	china	PROPN
brj-22439	303	32	,	,	PUNCT
brj-22439	303	33	pp	pp	ADJ
brj-22439	303	34	.	.	PUNCT
brj-22439	304	1	1	1	NUM
brj-22439	304	2	-	-	SYM
brj-22439	304	3	4	4	NUM
brj-22439	304	4	.	.	PUNCT
brj-22439	304	5	doi	doi	NOUN
brj-22439	304	6	:	:	PUNCT
brj-22439	304	7	10.1109	10.1109	NUM
brj-22439	304	8	/	/	SYM
brj-22439	304	9	isne.2019.8896490	isne.2019.8896490	ADJ
brj-22439	304	10	article	article	NOUN
brj-22439	304	11	submitted	submit	VERB
brj-22439	304	12	:	:	PUNCT
brj-22439	304	13	january	january	PROPN
brj-22439	304	14	31	31	NUM
brj-22439	304	15	,	,	PUNCT
brj-22439	304	16	2023	2023	NUM
brj-22439	304	17	;	;	PUNCT
brj-22439	304	18	peer	peer	NOUN
brj-22439	304	19	review	review	NOUN
brj-22439	304	20	completed	complete	VERB
brj-22439	304	21	:	:	PUNCT
brj-22439	304	22	april	april	PROPN
brj-22439	304	23	21	21	NUM
brj-22439	304	24	,	,	PUNCT
brj-22439	304	25	2023	2023	NUM
brj-22439	304	26	;	;	PUNCT
brj-22439	304	27	revised	revise	VERB
brj-22439	304	28	version	version	NOUN
brj-22439	304	29	received	receive	VERB
brj-22439	304	30	and	and	CCONJ
brj-22439	304	31	accepted	accept	VERB
brj-22439	304	32	:	:	PUNCT
brj-22439	304	33	may	may	AUX
brj-22439	304	34	1	1	NUM
brj-22439	304	35	,	,	PUNCT
brj-22439	304	36	2023	2023	NUM
brj-22439	304	37	;	;	PUNCT
brj-22439	304	38	published	publish	VERB
brj-22439	304	39	:	:	PUNCT
brj-22439	304	40	may	may	AUX
brj-22439	304	41	26	26	NUM
brj-22439	304	42	,	,	PUNCT
brj-22439	304	43	2023	2023	NUM
brj-22439	304	44	.	.	PUNCT
brj-22439	305	1	doi	doi	NOUN
brj-22439	305	2	:	:	PUNCT
brj-22439	305	3	10.15376	10.15376	NUM
brj-22439	305	4	/	/	SYM
brj-22439	305	5	biores.18.3.4964	biores.18.3.4964	PROPN
brj-22439	305	6	-	-	PUNCT
brj-22439	305	7	4976	4976	NUM