id	sid	tid	token	lemma	pos
brj-24265	1	1	peer	peer	NOUN
brj-24265	1	2	-	-	PUNCT
brj-24265	1	3	review	review	NOUN
brj-24265	1	4	article	article	NOUN
brj-24265	1	5	peer	peer	NOUN
brj-24265	1	6	-	-	PUNCT
brj-24265	1	7	reviewed	review	VERB
brj-24265	1	8	article	article	NOUN
brj-24265	1	9	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24265	1	10	lee	lee	PROPN
brj-24265	1	11	et	et	PROPN
brj-24265	1	12	al	al	PROPN
brj-24265	1	13	.	.	PROPN
brj-24265	2	1	(	(	PUNCT
brj-24265	2	2	2025	2025	NUM
brj-24265	2	3	)	)	PUNCT
brj-24265	2	4	.	.	PUNCT
brj-24265	3	1	“	"	PUNCT
brj-24265	3	2	wire	wire	NOUN
brj-24265	3	3	-	-	PUNCT
brj-24265	3	4	mark	mark	NOUN
brj-24265	3	5	analysis	analysis	NOUN
brj-24265	3	6	of	of	ADP
brj-24265	3	7	paper	paper	NOUN
brj-24265	3	8	,	,	PUNCT
brj-24265	3	9	”	"	PUNCT
brj-24265	3	10	bioresources	bioresource	VERB
brj-24265	3	11	20(4	20(4	NOUN
brj-24265	3	12	)	)	PUNCT
brj-24265	3	13	,	,	PUNCT
brj-24265	3	14	9208	9208	NUM
brj-24265	3	15	-	-	SYM
brj-24265	3	16	9225	9225	NUM
brj-24265	3	17	.	.	PUNCT
brj-24265	4	1	9208	9208	NUM
brj-24265	4	2	paper	paper	NOUN
brj-24265	4	3	fingerprint	fingerprint	NOUN
brj-24265	4	4	by	by	ADP
brj-24265	4	5	forming	form	VERB
brj-24265	4	6	fabric	fabric	NOUN
brj-24265	4	7	:	:	PUNCT
brj-24265	4	8	a	a	DET
brj-24265	4	9	univariate	univariate	ADJ
brj-24265	4	10	feature	feature	NOUN
brj-24265	4	11	selection	selection	NOUN
brj-24265	4	12	approach	approach	NOUN
brj-24265	4	13	using	use	VERB
brj-24265	4	14	periodic	periodic	ADJ
brj-24265	4	15	marks	mark	NOUN
brj-24265	4	16	analysis	analysis	NOUN
brj-24265	4	17	yong	yong	PROPN
brj-24265	4	18	ju	ju	PROPN
brj-24265	4	19	lee	lee	PROPN
brj-24265	4	20	,	,	PUNCT
brj-24265	4	21	a	a	DET
brj-24265	4	22	chang	chang	PROPN
brj-24265	4	23	woo	woo	PROPN
brj-24265	4	24	jeong	jeong	PROPN
brj-24265	4	25	,	,	PUNCT
brj-24265	4	26	b	b	PROPN
brj-24265	4	27	,	,	PUNCT
brj-24265	4	28	*	*	PUNCT
brj-24265	4	29	tai	tai	PROPN
brj-24265	4	30	-	-	PUNCT
brj-24265	4	31	ju	ju	PROPN
brj-24265	4	32	lee	lee	PROPN
brj-24265	4	33	,	,	PUNCT
brj-24265	4	34	a	a	DET
brj-24265	4	35	geon	geon	PROPN
brj-24265	4	36	-	-	PUNCT
brj-24265	4	37	woo	woo	PROPN
brj-24265	4	38	kim	kim	PROPN
brj-24265	4	39	,	,	PUNCT
brj-24265	4	40	a	a	PRON
brj-24265	4	41	and	and	CCONJ
brj-24265	4	42	hyoung	hyoung	PROPN
brj-24265	4	43	jin	jin	PROPN
brj-24265	4	44	kim	kim	PROPN
brj-24265	4	45	a	a	PROPN
brj-24265	4	46	,	,	PUNCT
brj-24265	4	47	*	*	PUNCT
brj-24265	4	48	evidence	evidence	NOUN
brj-24265	4	49	by	by	ADP
brj-24265	4	50	which	which	PRON
brj-24265	4	51	to	to	PART
brj-24265	4	52	confirm	confirm	VERB
brj-24265	4	53	the	the	DET
brj-24265	4	54	location	location	NOUN
brj-24265	4	55	and	and	CCONJ
brj-24265	4	56	approximate	approximate	ADJ
brj-24265	4	57	manufacturing	manufacturing	NOUN
brj-24265	4	58	date	date	NOUN
brj-24265	4	59	of	of	ADP
brj-24265	4	60	document	document	NOUN
brj-24265	4	61	paper	paper	NOUN
brj-24265	4	62	is	be	AUX
brj-24265	4	63	a	a	DET
brj-24265	4	64	critical	critical	ADJ
brj-24265	4	65	task	task	NOUN
brj-24265	4	66	in	in	ADP
brj-24265	4	67	forensic	forensic	ADJ
brj-24265	4	68	investigations	investigation	NOUN
brj-24265	4	69	,	,	PUNCT
brj-24265	4	70	particularly	particularly	ADV
brj-24265	4	71	in	in	ADP
brj-24265	4	72	cases	case	NOUN
brj-24265	4	73	involving	involve	VERB
brj-24265	4	74	suspected	suspect	VERB
brj-24265	4	75	forgery	forgery	NOUN
brj-24265	4	76	or	or	CCONJ
brj-24265	4	77	document	document	NOUN
brj-24265	4	78	manipulation	manipulation	NOUN
brj-24265	4	79	.	.	PUNCT
brj-24265	5	1	in	in	ADP
brj-24265	5	2	this	this	DET
brj-24265	5	3	study	study	NOUN
brj-24265	5	4	,	,	PUNCT
brj-24265	5	5	periodic	periodic	ADJ
brj-24265	5	6	marks	mark	NOUN
brj-24265	5	7	formed	form	VERB
brj-24265	5	8	during	during	ADP
brj-24265	5	9	the	the	DET
brj-24265	5	10	papermaking	papermaking	NOUN
brj-24265	5	11	process	process	NOUN
brj-24265	5	12	were	be	AUX
brj-24265	5	13	analyzed	analyze	VERB
brj-24265	5	14	using	use	VERB
brj-24265	5	15	light	light	NOUN
brj-24265	5	16	-	-	PUNCT
brj-24265	5	17	transmitted	transmit	VERB
brj-24265	5	18	images	image	NOUN
brj-24265	5	19	captured	capture	VERB
brj-24265	5	20	by	by	ADP
brj-24265	5	21	a	a	DET
brj-24265	5	22	twodimensional	twodimensional	ADJ
brj-24265	5	23	lab	lab	NOUN
brj-24265	5	24	formation	formation	NOUN
brj-24265	5	25	sensor	sensor	NOUN
brj-24265	5	26	.	.	PUNCT
brj-24265	6	1	step	step	NOUN
brj-24265	6	2	and	and	CCONJ
brj-24265	6	3	angle	angle	NOUN
brj-24265	6	4	data	datum	NOUN
brj-24265	6	5	from	from	ADP
brj-24265	6	6	the	the	DET
brj-24265	6	7	top	top	ADJ
brj-24265	6	8	five	five	NUM
brj-24265	6	9	intensity	intensity	NOUN
brj-24265	6	10	peaks	peak	NOUN
brj-24265	6	11	were	be	AUX
brj-24265	6	12	extracted	extract	VERB
brj-24265	6	13	and	and	CCONJ
brj-24265	6	14	used	use	VERB
brj-24265	6	15	to	to	PART
brj-24265	6	16	train	train	VERB
brj-24265	6	17	tree	tree	NOUN
brj-24265	6	18	-	-	PUNCT
brj-24265	6	19	based	base	VERB
brj-24265	6	20	classification	classification	NOUN
brj-24265	6	21	models	model	NOUN
brj-24265	6	22	.	.	PUNCT
brj-24265	7	1	to	to	PART
brj-24265	7	2	handle	handle	VERB
brj-24265	7	3	directional	directional	ADJ
brj-24265	7	4	symmetry	symmetry	NOUN
brj-24265	7	5	,	,	PUNCT
brj-24265	7	6	a	a	DET
brj-24265	7	7	modulo	modulo	ADJ
brj-24265	7	8	180	180	NUM
brj-24265	7	9	°	°	NOUN
brj-24265	7	10	transformation	transformation	NOUN
brj-24265	7	11	was	be	AUX
brj-24265	7	12	applied	apply	VERB
brj-24265	7	13	to	to	ADP
brj-24265	7	14	the	the	DET
brj-24265	7	15	angle	angle	NOUN
brj-24265	7	16	data	datum	NOUN
brj-24265	7	17	.	.	PUNCT
brj-24265	8	1	the	the	DET
brj-24265	8	2	random	random	ADJ
brj-24265	8	3	forest	forest	NOUN
brj-24265	8	4	(	(	PUNCT
brj-24265	8	5	rf	rf	NOUN
brj-24265	8	6	)	)	PUNCT
brj-24265	8	7	classifier	classifier	NOUN
brj-24265	8	8	outperformed	outperform	VERB
brj-24265	8	9	decision	decision	NOUN
brj-24265	8	10	tree	tree	NOUN
brj-24265	8	11	(	(	PUNCT
brj-24265	8	12	dt	dt	NOUN
brj-24265	8	13	)	)	PUNCT
brj-24265	8	14	and	and	CCONJ
brj-24265	8	15	extreme	extreme	ADJ
brj-24265	8	16	gradient	gradient	NOUN
brj-24265	8	17	boosting	boost	VERB
brj-24265	8	18	(	(	PUNCT
brj-24265	8	19	xgb	xgb	NOUN
brj-24265	8	20	)	)	PUNCT
brj-24265	8	21	models	model	NOUN
brj-24265	8	22	,	,	PUNCT
brj-24265	8	23	achieving	achieve	VERB
brj-24265	8	24	the	the	DET
brj-24265	8	25	highest	high	ADJ
brj-24265	8	26	f1	f1	ADJ
brj-24265	8	27	score	score	NOUN
brj-24265	8	28	.	.	PUNCT
brj-24265	9	1	feature	feature	NOUN
brj-24265	9	2	importance	importance	NOUN
brj-24265	9	3	analysis	analysis	NOUN
brj-24265	9	4	revealed	reveal	VERB
brj-24265	9	5	that	that	SCONJ
brj-24265	9	6	the	the	DET
brj-24265	9	7	step	step	NOUN
brj-24265	9	8	and	and	CCONJ
brj-24265	9	9	angle	angle	NOUN
brj-24265	9	10	at	at	ADP
brj-24265	9	11	the	the	DET
brj-24265	9	12	third	third	ADJ
brj-24265	9	13	intensity	intensity	NOUN
brj-24265	9	14	level	level	NOUN
brj-24265	9	15	were	be	AUX
brj-24265	9	16	the	the	DET
brj-24265	9	17	most	most	ADV
brj-24265	9	18	discriminative	discriminative	NOUN
brj-24265	9	19	features	feature	NOUN
brj-24265	9	20	,	,	PUNCT
brj-24265	9	21	likely	likely	ADV
brj-24265	9	22	reflecting	reflect	VERB
brj-24265	9	23	structural	structural	ADJ
brj-24265	9	24	characteristics	characteristic	NOUN
brj-24265	9	25	of	of	ADP
brj-24265	9	26	forming	form	VERB
brj-24265	9	27	fabrics	fabric	NOUN
brj-24265	9	28	or	or	CCONJ
brj-24265	9	29	drainage	drainage	NOUN
brj-24265	9	30	patterns	pattern	NOUN
brj-24265	9	31	.	.	PUNCT
brj-24265	10	1	a	a	DET
brj-24265	10	2	simplified	simplified	ADJ
brj-24265	10	3	univariate	univariate	ADJ
brj-24265	10	4	strategy	strategy	NOUN
brj-24265	10	5	using	use	VERB
brj-24265	10	6	these	these	DET
brj-24265	10	7	features	feature	NOUN
brj-24265	10	8	also	also	ADV
brj-24265	10	9	showed	show	VERB
brj-24265	10	10	potential	potential	NOUN
brj-24265	10	11	for	for	ADP
brj-24265	10	12	estimating	estimate	VERB
brj-24265	10	13	production	production	NOUN
brj-24265	10	14	periods	period	NOUN
brj-24265	10	15	.	.	PUNCT
brj-24265	11	1	however	however	ADV
brj-24265	11	2	,	,	PUNCT
brj-24265	11	3	differences	difference	NOUN
brj-24265	11	4	between	between	ADP
brj-24265	11	5	the	the	DET
brj-24265	11	6	top	top	ADJ
brj-24265	11	7	and	and	CCONJ
brj-24265	11	8	bottom	bottom	ADJ
brj-24265	11	9	surfaces	surface	NOUN
brj-24265	11	10	—	—	PUNCT
brj-24265	11	11	particularly	particularly	ADV
brj-24265	11	12	in	in	ADP
brj-24265	11	13	twin	twin	ADJ
brj-24265	11	14	-	-	PUNCT
brj-24265	11	15	wire	wire	NOUN
brj-24265	11	16	systems	system	NOUN
brj-24265	11	17	—	—	PUNCT
brj-24265	11	18	introduced	introduce	VERB
brj-24265	11	19	classification	classification	NOUN
brj-24265	11	20	bias	bias	NOUN
brj-24265	11	21	,	,	PUNCT
brj-24265	11	22	highlighting	highlight	VERB
brj-24265	11	23	the	the	DET
brj-24265	11	24	need	need	NOUN
brj-24265	11	25	to	to	PART
brj-24265	11	26	separately	separately	ADV
brj-24265	11	27	classify	classify	VERB
brj-24265	11	28	paper	paper	NOUN
brj-24265	11	29	sides	side	NOUN
brj-24265	11	30	in	in	ADP
brj-24265	11	31	forensic	forensic	ADJ
brj-24265	11	32	datasets	dataset	NOUN
brj-24265	11	33	.	.	PUNCT
brj-24265	12	1	overall	overall	ADV
brj-24265	12	2	,	,	PUNCT
brj-24265	12	3	this	this	DET
brj-24265	12	4	study	study	NOUN
brj-24265	12	5	demonstrates	demonstrate	VERB
brj-24265	12	6	the	the	DET
brj-24265	12	7	feasibility	feasibility	NOUN
brj-24265	12	8	and	and	CCONJ
brj-24265	12	9	limitations	limitation	NOUN
brj-24265	12	10	of	of	ADP
brj-24265	12	11	using	use	VERB
brj-24265	12	12	periodic	periodic	ADJ
brj-24265	12	13	mark	mark	NOUN
brj-24265	12	14	analysis	analysis	NOUN
brj-24265	12	15	for	for	ADP
brj-24265	12	16	document	document	NOUN
brj-24265	12	17	dating	date	VERB
brj-24265	12	18	.	.	PUNCT
brj-24265	13	1	doi	doi	NOUN
brj-24265	13	2	:	:	PUNCT
brj-24265	13	3	10.15376	10.15376	NUM
brj-24265	13	4	/	/	SYM
brj-24265	13	5	biores.20.4.9208	biores.20.4.9208	NOUN
brj-24265	13	6	-	-	PUNCT
brj-24265	13	7	9225	9225	NUM
brj-24265	13	8	keywords	keyword	NOUN
brj-24265	13	9	:	:	PUNCT
brj-24265	13	10	random	random	ADJ
brj-24265	13	11	forest	forest	NOUN
brj-24265	13	12	(	(	PUNCT
brj-24265	13	13	rf	rf	NOUN
brj-24265	13	14	)	)	PUNCT
brj-24265	13	15	;	;	PUNCT
brj-24265	13	16	feature	feature	NOUN
brj-24265	13	17	importance	importance	NOUN
brj-24265	13	18	;	;	PUNCT
brj-24265	13	19	dbscan	dbscan	NOUN
brj-24265	13	20	;	;	PUNCT
brj-24265	13	21	forming	form	VERB
brj-24265	13	22	fabric	fabric	NOUN
brj-24265	13	23	;	;	PUNCT
brj-24265	13	24	light	light	ADJ
brj-24265	13	25	-	-	PUNCT
brj-24265	13	26	transmitted	transmit	VERB
brj-24265	13	27	image	image	NOUN
brj-24265	13	28	contact	contact	NOUN
brj-24265	13	29	information	information	NOUN
brj-24265	13	30	:	:	PUNCT
brj-24265	13	31	a	a	DET
brj-24265	13	32	:	:	PUNCT
brj-24265	13	33	department	department	NOUN
brj-24265	13	34	of	of	ADP
brj-24265	13	35	forest	forest	NOUN
brj-24265	13	36	products	product	NOUN
brj-24265	13	37	and	and	CCONJ
brj-24265	13	38	biotechnology	biotechnology	NOUN
brj-24265	13	39	,	,	PUNCT
brj-24265	13	40	kookmin	kookmin	PROPN
brj-24265	13	41	university	university	PROPN
brj-24265	13	42	,	,	PUNCT
brj-24265	13	43	77	77	NUM
brj-24265	13	44	jeongneung	jeongneung	NOUN
brj-24265	13	45	-	-	PUNCT
brj-24265	13	46	ro	ro	NOUN
brj-24265	13	47	,	,	PUNCT
brj-24265	13	48	seongbuk	seongbuk	NOUN
brj-24265	13	49	-	-	PUNCT
brj-24265	13	50	gu	gu	NOUN
brj-24265	13	51	,	,	PUNCT
brj-24265	13	52	seoul	seoul	PROPN
brj-24265	13	53	02707	02707	NUM
brj-24265	13	54	republic	republic	NOUN
brj-24265	13	55	of	of	ADP
brj-24265	13	56	korea	korea	PROPN
brj-24265	13	57	;	;	PUNCT
brj-24265	13	58	b	b	X
brj-24265	13	59	:	:	PUNCT
brj-24265	13	60	graduate	graduate	NOUN
brj-24265	13	61	school	school	NOUN
brj-24265	13	62	of	of	ADP
brj-24265	13	63	scientific	scientific	ADJ
brj-24265	13	64	criminal	criminal	ADJ
brj-24265	13	65	investigation	investigation	NOUN
brj-24265	13	66	,	,	PUNCT
brj-24265	13	67	chungnam	chungnam	NOUN
brj-24265	13	68	national	national	PROPN
brj-24265	13	69	university	university	PROPN
brj-24265	13	70	,	,	PUNCT
brj-24265	13	71	daejeon	daejeon	PROPN
brj-24265	13	72	34134	34134	NUM
brj-24265	13	73	,	,	PUNCT
brj-24265	13	74	korea	korea	PROPN
brj-24265	13	75	;	;	PUNCT
brj-24265	13	76	*	*	PUNCT
brj-24265	13	77	corresponding	correspond	VERB
brj-24265	13	78	authors	author	NOUN
brj-24265	13	79	:	:	PUNCT
brj-24265	13	80	hyjikim@kookmin.ac.kr	hyjikim@kookmin.ac.kr	X
brj-24265	13	81	;	;	PUNCT
brj-24265	13	82	leetj@kookmin.ac.kr	leetj@kookmin.ac.kr	X
brj-24265	13	83	introduction	introduction	NOUN
brj-24265	13	84	evidence	evidence	NOUN
brj-24265	13	85	related	relate	VERB
brj-24265	13	86	to	to	ADP
brj-24265	13	87	manufacturing	manufacturing	NOUN
brj-24265	13	88	dates	date	NOUN
brj-24265	13	89	and	and	CCONJ
brj-24265	13	90	locations	location	NOUN
brj-24265	13	91	is	be	AUX
brj-24265	13	92	essential	essential	ADJ
brj-24265	13	93	for	for	ADP
brj-24265	13	94	detecting	detect	VERB
brj-24265	13	95	added	add	VERB
brj-24265	13	96	or	or	CCONJ
brj-24265	13	97	substituted	substitute	VERB
brj-24265	13	98	pages	page	NOUN
brj-24265	13	99	in	in	ADP
brj-24265	13	100	forged	forge	VERB
brj-24265	13	101	documents	document	NOUN
brj-24265	13	102	.	.	PUNCT
brj-24265	14	1	determining	determine	VERB
brj-24265	14	2	the	the	DET
brj-24265	14	3	date	date	NOUN
brj-24265	14	4	of	of	ADP
brj-24265	14	5	a	a	DET
brj-24265	14	6	document	document	NOUN
brj-24265	14	7	helps	help	VERB
brj-24265	14	8	establish	establish	VERB
brj-24265	14	9	the	the	DET
brj-24265	14	10	period	period	NOUN
brj-24265	14	11	during	during	ADP
brj-24265	14	12	which	which	PRON
brj-24265	14	13	a	a	DET
brj-24265	14	14	tax	tax	NOUN
brj-24265	14	15	document	document	NOUN
brj-24265	14	16	or	or	CCONJ
brj-24265	14	17	other	other	ADJ
brj-24265	14	18	official	official	ADJ
brj-24265	14	19	document	document	NOUN
brj-24265	14	20	was	be	AUX
brj-24265	14	21	produced	produce	VERB
brj-24265	14	22	.	.	PUNCT
brj-24265	15	1	this	this	PRON
brj-24265	15	2	is	be	AUX
brj-24265	15	3	performed	perform	VERB
brj-24265	15	4	by	by	ADP
brj-24265	15	5	comparing	compare	VERB
brj-24265	15	6	the	the	DET
brj-24265	15	7	date	date	NOUN
brj-24265	15	8	of	of	ADP
brj-24265	15	9	the	the	DET
brj-24265	15	10	document	document	NOUN
brj-24265	15	11	with	with	ADP
brj-24265	15	12	the	the	DET
brj-24265	15	13	earliest	early	ADJ
brj-24265	15	14	availability	availability	NOUN
brj-24265	15	15	of	of	ADP
brj-24265	15	16	the	the	DET
brj-24265	15	17	paper	paper	NOUN
brj-24265	15	18	on	on	ADP
brj-24265	15	19	which	which	PRON
brj-24265	15	20	it	it	PRON
brj-24265	15	21	is	be	AUX
brj-24265	15	22	printed	print	VERB
brj-24265	15	23	.	.	PUNCT
brj-24265	16	1	the	the	DET
brj-24265	16	2	materials	material	NOUN
brj-24265	16	3	used	use	VERB
brj-24265	16	4	in	in	ADP
brj-24265	16	5	the	the	DET
brj-24265	16	6	document	document	NOUN
brj-24265	16	7	must	must	AUX
brj-24265	16	8	have	have	AUX
brj-24265	16	9	been	be	AUX
brj-24265	16	10	available	available	ADJ
brj-24265	16	11	before	before	ADP
brj-24265	16	12	or	or	CCONJ
brj-24265	16	13	on	on	ADP
brj-24265	16	14	the	the	DET
brj-24265	16	15	date	date	NOUN
brj-24265	16	16	of	of	ADP
brj-24265	16	17	the	the	DET
brj-24265	16	18	document	document	NOUN
brj-24265	16	19	;	;	PUNCT
brj-24265	16	20	otherwise	otherwise	ADV
brj-24265	16	21	,	,	PUNCT
brj-24265	16	22	if	if	SCONJ
brj-24265	16	23	the	the	DET
brj-24265	16	24	date	date	NOUN
brj-24265	16	25	of	of	ADP
brj-24265	16	26	the	the	DET
brj-24265	16	27	document	document	NOUN
brj-24265	16	28	is	be	AUX
brj-24265	16	29	earlier	early	ADJ
brj-24265	16	30	than	than	ADP
brj-24265	16	31	the	the	DET
brj-24265	16	32	availability	availability	NOUN
brj-24265	16	33	of	of	ADP
brj-24265	16	34	its	its	PRON
brj-24265	16	35	paper	paper	NOUN
brj-24265	16	36	,	,	PUNCT
brj-24265	16	37	this	this	DET
brj-24265	16	38	anachronism	anachronism	NOUN
brj-24265	16	39	indicates	indicate	VERB
brj-24265	16	40	backdating	backdating	NOUN
brj-24265	16	41	(	(	PUNCT
brj-24265	16	42	ellen	ellen	PROPN
brj-24265	16	43	et	et	PROPN
brj-24265	16	44	al	al	PROPN
brj-24265	16	45	.	.	PROPN
brj-24265	16	46	2018	2018	NUM
brj-24265	16	47	)	)	PUNCT
brj-24265	16	48	.	.	PUNCT
brj-24265	17	1	to	to	PART
brj-24265	17	2	facilitate	facilitate	VERB
brj-24265	17	3	this	this	DET
brj-24265	17	4	analysis	analysis	NOUN
brj-24265	17	5	,	,	PUNCT
brj-24265	17	6	an	an	DET
brj-24265	17	7	accessible	accessible	ADJ
brj-24265	17	8	reference	reference	NOUN
brj-24265	17	9	database	database	NOUN
brj-24265	17	10	is	be	AUX
brj-24265	17	11	required	require	VERB
brj-24265	17	12	(	(	PUNCT
brj-24265	17	13	jeong	jeong	PROPN
brj-24265	17	14	et	et	PROPN
brj-24265	17	15	al	al	PROPN
brj-24265	17	16	.	.	PROPN
brj-24265	17	17	2024a	2024a	NUM
brj-24265	17	18	,	,	PUNCT
brj-24265	17	19	b	b	NOUN
brj-24265	17	20	)	)	PUNCT
brj-24265	17	21	.	.	PUNCT
brj-24265	18	1	peer	peer	NOUN
brj-24265	18	2	-	-	PUNCT
brj-24265	18	3	reviewed	review	VERB
brj-24265	18	4	article	article	NOUN
brj-24265	18	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24265	18	6	lee	lee	PROPN
brj-24265	18	7	et	et	PROPN
brj-24265	18	8	al	al	PROPN
brj-24265	18	9	.	.	PROPN
brj-24265	19	1	(	(	PUNCT
brj-24265	19	2	2025	2025	NUM
brj-24265	19	3	)	)	PUNCT
brj-24265	19	4	.	.	PUNCT
brj-24265	20	1	“	"	PUNCT
brj-24265	20	2	wire	wire	NOUN
brj-24265	20	3	-	-	PUNCT
brj-24265	20	4	mark	mark	NOUN
brj-24265	20	5	analysis	analysis	NOUN
brj-24265	20	6	of	of	ADP
brj-24265	20	7	paper	paper	NOUN
brj-24265	20	8	,	,	PUNCT
brj-24265	20	9	”	"	PUNCT
brj-24265	20	10	bioresources	bioresource	VERB
brj-24265	20	11	20(4	20(4	NOUN
brj-24265	20	12	)	)	PUNCT
brj-24265	20	13	,	,	PUNCT
brj-24265	20	14	9208	9208	NUM
brj-24265	20	15	-	-	SYM
brj-24265	20	16	9225	9225	NUM
brj-24265	20	17	.	.	PUNCT
brj-24265	21	1	9209	9209	NUM
brj-24265	21	2	conventional	conventional	ADJ
brj-24265	21	3	paper	paper	NOUN
brj-24265	21	4	analysis	analysis	NOUN
brj-24265	21	5	methods	method	NOUN
brj-24265	21	6	focus	focus	VERB
brj-24265	21	7	on	on	ADP
brj-24265	21	8	evaluating	evaluate	VERB
brj-24265	21	9	physical	physical	ADJ
brj-24265	21	10	and	and	CCONJ
brj-24265	21	11	optical	optical	ADJ
brj-24265	21	12	characteristics	characteristic	NOUN
brj-24265	21	13	,	,	PUNCT
brj-24265	21	14	such	such	ADJ
brj-24265	21	15	as	as	ADP
brj-24265	21	16	tensile	tensile	NOUN
brj-24265	21	17	strength	strength	NOUN
brj-24265	21	18	,	,	PUNCT
brj-24265	21	19	thickness	thickness	NOUN
brj-24265	21	20	,	,	PUNCT
brj-24265	21	21	basis	basis	NOUN
brj-24265	21	22	weight	weight	NOUN
brj-24265	21	23	,	,	PUNCT
brj-24265	21	24	ash	ash	NOUN
brj-24265	21	25	content	content	NOUN
brj-24265	21	26	,	,	PUNCT
brj-24265	21	27	color	color	NOUN
brj-24265	21	28	,	,	PUNCT
brj-24265	21	29	and	and	CCONJ
brj-24265	21	30	fluorescence	fluorescence	NOUN
brj-24265	21	31	(	(	PUNCT
brj-24265	21	32	grant	grant	NOUN
brj-24265	21	33	1973	1973	NUM
brj-24265	21	34	)	)	PUNCT
brj-24265	21	35	.	.	PUNCT
brj-24265	22	1	in	in	ADP
brj-24265	22	2	addition	addition	NOUN
brj-24265	22	3	,	,	PUNCT
brj-24265	22	4	techniques	technique	NOUN
brj-24265	22	5	such	such	ADJ
brj-24265	22	6	as	as	ADP
brj-24265	22	7	x	x	NOUN
brj-24265	22	8	-	-	NOUN
brj-24265	22	9	ray	ray	NOUN
brj-24265	22	10	diffraction	diffraction	NOUN
brj-24265	22	11	(	(	PUNCT
brj-24265	22	12	foner	foner	NOUN
brj-24265	22	13	and	and	CCONJ
brj-24265	22	14	adan	adan	PROPN
brj-24265	22	15	1983	1983	NUM
brj-24265	22	16	)	)	PUNCT
brj-24265	22	17	,	,	PUNCT
brj-24265	22	18	elemental	elemental	ADJ
brj-24265	22	19	analysis	analysis	NOUN
brj-24265	22	20	(	(	PUNCT
brj-24265	22	21	spence	spence	NOUN
brj-24265	22	22	et	et	PROPN
brj-24265	22	23	al	al	PROPN
brj-24265	22	24	.	.	PROPN
brj-24265	22	25	2002	2002	NUM
brj-24265	22	26	)	)	PUNCT
brj-24265	22	27	,	,	PUNCT
brj-24265	22	28	infrared	infrared	ADJ
brj-24265	22	29	spectroscopy	spectroscopy	NOUN
brj-24265	22	30	(	(	PUNCT
brj-24265	22	31	hwang	hwang	PROPN
brj-24265	22	32	et	et	PROPN
brj-24265	22	33	al	al	PROPN
brj-24265	22	34	.	.	PROPN
brj-24265	22	35	2024	2024	NUM
brj-24265	22	36	;	;	PUNCT
brj-24265	22	37	lee	lee	PROPN
brj-24265	22	38	et	et	PROPN
brj-24265	22	39	al	al	PROPN
brj-24265	22	40	.	.	PROPN
brj-24265	22	41	2024a	2024a	NUM
brj-24265	22	42	,	,	PUNCT
brj-24265	22	43	b	b	X
brj-24265	22	44	;	;	PUNCT
brj-24265	22	45	lee	lee	PROPN
brj-24265	22	46	et	et	PROPN
brj-24265	22	47	al	al	PROPN
brj-24265	22	48	.	.	PROPN
brj-24265	22	49	2025a	2025a	NUM
brj-24265	22	50	)	)	PUNCT
brj-24265	22	51	,	,	PUNCT
brj-24265	22	52	raman	raman	NOUN
brj-24265	22	53	spectroscopy	spectroscopy	NOUN
brj-24265	22	54	(	(	PUNCT
brj-24265	22	55	kuptsov	kuptsov	NOUN
brj-24265	22	56	1994	1994	NUM
brj-24265	22	57	)	)	PUNCT
brj-24265	22	58	,	,	PUNCT
brj-24265	22	59	image	image	NOUN
brj-24265	22	60	analysis	analysis	NOUN
brj-24265	22	61	(	(	PUNCT
brj-24265	22	62	miyata	miyata	NOUN
brj-24265	22	63	et	et	PROPN
brj-24265	22	64	al	al	PROPN
brj-24265	22	65	.	.	PROPN
brj-24265	22	66	2002	2002	NUM
brj-24265	22	67	)	)	PUNCT
brj-24265	22	68	,	,	PUNCT
brj-24265	22	69	and	and	CCONJ
brj-24265	22	70	pyrolysis	pyrolysis	NOUN
brj-24265	22	71	gas	gas	NOUN
brj-24265	22	72	chromatography	chromatography	NOUN
brj-24265	22	73	(	(	PUNCT
brj-24265	22	74	ebara	ebara	PROPN
brj-24265	22	75	et	et	PROPN
brj-24265	22	76	al	al	PROPN
brj-24265	22	77	.	.	PROPN
brj-24265	22	78	1982	1982	NUM
brj-24265	22	79	)	)	PUNCT
brj-24265	22	80	have	have	AUX
brj-24265	22	81	been	be	AUX
brj-24265	22	82	applied	apply	VERB
brj-24265	22	83	.	.	PUNCT
brj-24265	23	1	however	however	ADV
brj-24265	23	2	,	,	PUNCT
brj-24265	23	3	these	these	DET
brj-24265	23	4	methods	method	NOUN
brj-24265	23	5	typically	typically	ADV
brj-24265	23	6	face	face	VERB
brj-24265	23	7	challenges	challenge	NOUN
brj-24265	23	8	in	in	ADP
brj-24265	23	9	accurately	accurately	ADV
brj-24265	23	10	identifying	identify	VERB
brj-24265	23	11	the	the	DET
brj-24265	23	12	manufacturing	manufacturing	NOUN
brj-24265	23	13	date	date	NOUN
brj-24265	23	14	of	of	ADP
brj-24265	23	15	paper	paper	NOUN
brj-24265	23	16	.	.	PUNCT
brj-24265	24	1	for	for	ADP
brj-24265	24	2	example	example	NOUN
brj-24265	24	3	,	,	PUNCT
brj-24265	24	4	physical	physical	ADJ
brj-24265	24	5	testing	testing	NOUN
brj-24265	24	6	methods	method	NOUN
brj-24265	24	7	are	be	AUX
brj-24265	24	8	limited	limit	VERB
brj-24265	24	9	by	by	ADP
brj-24265	24	10	their	their	PRON
brj-24265	24	11	destructive	destructive	ADJ
brj-24265	24	12	nature	nature	NOUN
brj-24265	24	13	,	,	PUNCT
brj-24265	24	14	which	which	PRON
brj-24265	24	15	may	may	AUX
brj-24265	24	16	damage	damage	VERB
brj-24265	24	17	the	the	DET
brj-24265	24	18	documents	document	NOUN
brj-24265	24	19	.	.	PUNCT
brj-24265	25	1	nondestructive	nondestructive	ADJ
brj-24265	25	2	techniques	technique	NOUN
brj-24265	25	3	,	,	PUNCT
brj-24265	25	4	such	such	ADJ
brj-24265	25	5	as	as	ADP
brj-24265	25	6	spectroscopy	spectroscopy	NOUN
brj-24265	25	7	analysis	analysis	NOUN
brj-24265	25	8	,	,	PUNCT
brj-24265	25	9	also	also	ADV
brj-24265	25	10	have	have	VERB
brj-24265	25	11	limitations	limitation	NOUN
brj-24265	25	12	,	,	PUNCT
brj-24265	25	13	for	for	ADP
brj-24265	25	14	example	example	NOUN
brj-24265	25	15	,	,	PUNCT
brj-24265	25	16	documents	document	NOUN
brj-24265	25	17	may	may	AUX
brj-24265	25	18	be	be	AUX
brj-24265	25	19	contaminated	contaminate	VERB
brj-24265	25	20	,	,	PUNCT
brj-24265	25	21	and	and	CCONJ
brj-24265	25	22	the	the	DET
brj-24265	25	23	aging	age	VERB
brj-24265	25	24	characteristics	characteristic	NOUN
brj-24265	25	25	of	of	ADP
brj-24265	25	26	paper	paper	NOUN
brj-24265	25	27	can	can	AUX
brj-24265	25	28	change	change	VERB
brj-24265	25	29	depending	depend	VERB
brj-24265	25	30	on	on	ADP
brj-24265	25	31	storage	storage	NOUN
brj-24265	25	32	conditions	condition	NOUN
brj-24265	25	33	(	(	PUNCT
brj-24265	25	34	havlínová	havlínová	NOUN
brj-24265	25	35	et	et	PROPN
brj-24265	25	36	al	al	PROPN
brj-24265	25	37	.	.	PROPN
brj-24265	25	38	2009	2009	NUM
brj-24265	25	39	;	;	PUNCT
brj-24265	25	40	małachowska	małachowska	PROPN
brj-24265	25	41	et	et	PROPN
brj-24265	25	42	al	al	PROPN
brj-24265	25	43	.	.	PROPN
brj-24265	25	44	2021	2021	NUM
brj-24265	25	45	)	)	PUNCT
brj-24265	25	46	.	.	PUNCT
brj-24265	26	1	to	to	PART
brj-24265	26	2	address	address	VERB
brj-24265	26	3	these	these	DET
brj-24265	26	4	limitations	limitation	NOUN
brj-24265	26	5	,	,	PUNCT
brj-24265	26	6	light	light	ADJ
brj-24265	26	7	-	-	PUNCT
brj-24265	26	8	transmitted	transmit	VERB
brj-24265	26	9	image	image	NOUN
brj-24265	26	10	analysis	analysis	NOUN
brj-24265	26	11	methods	method	NOUN
brj-24265	26	12	based	base	VERB
brj-24265	26	13	on	on	ADP
brj-24265	26	14	fast	fast	ADJ
brj-24265	26	15	fourier	fourier	NOUN
brj-24265	26	16	transformation	transformation	NOUN
brj-24265	26	17	have	have	AUX
brj-24265	26	18	been	be	AUX
brj-24265	26	19	developed	develop	VERB
brj-24265	26	20	(	(	PUNCT
brj-24265	26	21	miyata	miyata	PROPN
brj-24265	26	22	et	et	PROPN
brj-24265	26	23	al	al	PROPN
brj-24265	26	24	.	.	PROPN
brj-24265	26	25	2002	2002	NUM
brj-24265	26	26	;	;	PUNCT
brj-24265	26	27	comte	comte	NOUN
brj-24265	26	28	et	et	PROPN
brj-24265	26	29	al	al	PROPN
brj-24265	26	30	.	.	PROPN
brj-24265	26	31	2006	2006	NUM
brj-24265	26	32	;	;	PUNCT
brj-24265	26	33	berger	berger	PROPN
brj-24265	26	34	and	and	CCONJ
brj-24265	26	35	ramos	ramos	PROPN
brj-24265	26	36	2012	2012	NUM
brj-24265	26	37	)	)	PUNCT
brj-24265	26	38	.	.	PUNCT
brj-24265	27	1	berger	berger	PROPN
brj-24265	27	2	(	(	PUNCT
brj-24265	27	3	2009	2009	NUM
brj-24265	27	4	)	)	PUNCT
brj-24265	27	5	captured	capture	VERB
brj-24265	27	6	light	light	ADJ
brj-24265	27	7	-	-	PUNCT
brj-24265	27	8	transmitted	transmit	VERB
brj-24265	27	9	images	image	NOUN
brj-24265	27	10	of	of	ADP
brj-24265	27	11	office	office	NOUN
brj-24265	27	12	paper	paper	NOUN
brj-24265	27	13	and	and	CCONJ
brj-24265	27	14	then	then	ADV
brj-24265	27	15	performed	perform	VERB
brj-24265	27	16	frequency	frequency	NOUN
brj-24265	27	17	analysis	analysis	NOUN
brj-24265	27	18	using	use	VERB
brj-24265	27	19	the	the	DET
brj-24265	27	20	two	two	NUM
brj-24265	27	21	-	-	PUNCT
brj-24265	27	22	dimensional	dimensional	ADJ
brj-24265	27	23	(	(	PUNCT
brj-24265	27	24	2d	2d	NOUN
brj-24265	27	25	)	)	PUNCT
brj-24265	27	26	power	power	NOUN
brj-24265	27	27	spectrum	spectrum	NOUN
brj-24265	27	28	technique	technique	NOUN
brj-24265	27	29	.	.	PUNCT
brj-24265	28	1	this	this	DET
brj-24265	28	2	method	method	NOUN
brj-24265	28	3	measures	measure	VERB
brj-24265	28	4	similarity	similarity	NOUN
brj-24265	28	5	through	through	ADP
brj-24265	28	6	correlation	correlation	NOUN
brj-24265	28	7	and	and	CCONJ
brj-24265	28	8	shows	show	VERB
brj-24265	28	9	promise	promise	NOUN
brj-24265	28	10	in	in	ADP
brj-24265	28	11	distinguishing	distinguish	VERB
brj-24265	28	12	common	common	ADJ
brj-24265	28	13	office	office	NOUN
brj-24265	28	14	papers	paper	NOUN
brj-24265	28	15	.	.	PUNCT
brj-24265	29	1	jeong	jeong	PROPN
brj-24265	29	2	et	et	PROPN
brj-24265	29	3	al	al	PROPN
brj-24265	29	4	.	.	PROPN
brj-24265	29	5	(	(	PUNCT
brj-24265	29	6	2024a	2024a	NUM
brj-24265	29	7	,	,	PUNCT
brj-24265	29	8	b	b	X
brj-24265	29	9	)	)	PUNCT
brj-24265	29	10	performed	perform	VERB
brj-24265	29	11	classification	classification	NOUN
brj-24265	29	12	analysis	analysis	NOUN
brj-24265	29	13	to	to	PART
brj-24265	29	14	discriminate	discriminate	VERB
brj-24265	29	15	manufacturers	manufacturer	NOUN
brj-24265	29	16	using	use	VERB
brj-24265	29	17	periodic	periodic	ADJ
brj-24265	29	18	marks	mark	NOUN
brj-24265	29	19	from	from	ADP
brj-24265	29	20	the	the	DET
brj-24265	29	21	forming	form	VERB
brj-24265	29	22	fabrics	fabric	NOUN
brj-24265	29	23	used	use	VERB
brj-24265	29	24	during	during	ADP
brj-24265	29	25	the	the	DET
brj-24265	29	26	papermaking	papermaking	NOUN
brj-24265	29	27	process	process	NOUN
brj-24265	29	28	.	.	PUNCT
brj-24265	30	1	light	light	ADJ
brj-24265	30	2	-	-	PUNCT
brj-24265	30	3	transmitted	transmit	VERB
brj-24265	30	4	images	image	NOUN
brj-24265	30	5	were	be	AUX
brj-24265	30	6	captured	capture	VERB
brj-24265	30	7	using	use	VERB
brj-24265	30	8	a	a	DET
brj-24265	30	9	2d	2d	NUM
brj-24265	30	10	lab	lab	NOUN
brj-24265	30	11	formation	formation	NOUN
brj-24265	30	12	sensor	sensor	NOUN
brj-24265	30	13	(	(	PUNCT
brj-24265	30	14	techpap	techpap	PROPN
brj-24265	30	15	,	,	PUNCT
brj-24265	30	16	france	france	PROPN
brj-24265	30	17	)	)	PUNCT
brj-24265	30	18	,	,	PUNCT
brj-24265	30	19	and	and	CCONJ
brj-24265	30	20	the	the	DET
brj-24265	30	21	images	image	NOUN
brj-24265	30	22	were	be	AUX
brj-24265	30	23	then	then	ADV
brj-24265	30	24	transformed	transform	VERB
brj-24265	30	25	into	into	ADP
brj-24265	30	26	fourier	fourier	ADJ
brj-24265	30	27	transformbased	transformbase	VERB
brj-24265	30	28	images	image	NOUN
brj-24265	30	29	.	.	PUNCT
brj-24265	31	1	from	from	ADP
brj-24265	31	2	these	these	DET
brj-24265	31	3	images	image	NOUN
brj-24265	31	4	,	,	PUNCT
brj-24265	31	5	periodic	periodic	ADJ
brj-24265	31	6	marks	mark	NOUN
brj-24265	31	7	were	be	AUX
brj-24265	31	8	derived	derive	VERB
brj-24265	31	9	from	from	ADP
brj-24265	31	10	the	the	DET
brj-24265	31	11	weaving	weaving	NOUN
brj-24265	31	12	patterns	pattern	NOUN
brj-24265	31	13	of	of	ADP
brj-24265	31	14	the	the	DET
brj-24265	31	15	forming	form	VERB
brj-24265	31	16	fabric	fabric	NOUN
brj-24265	31	17	and	and	CCONJ
brj-24265	31	18	drainage	drainage	NOUN
brj-24265	31	19	marks	mark	NOUN
brj-24265	31	20	depending	depend	VERB
brj-24265	31	21	on	on	ADP
brj-24265	31	22	the	the	DET
brj-24265	31	23	paper	paper	NOUN
brj-24265	31	24	machines	machine	NOUN
brj-24265	31	25	.	.	PUNCT
brj-24265	32	1	these	these	DET
brj-24265	32	2	periodic	periodic	ADJ
brj-24265	32	3	patterns	pattern	NOUN
brj-24265	32	4	primarily	primarily	ADV
brj-24265	32	5	originate	originate	VERB
brj-24265	32	6	from	from	ADP
brj-24265	32	7	the	the	DET
brj-24265	32	8	forming	form	VERB
brj-24265	32	9	fabric	fabric	NOUN
brj-24265	32	10	,	,	PUNCT
brj-24265	32	11	an	an	DET
brj-24265	32	12	endless	endless	ADJ
brj-24265	32	13	woven	woven	ADJ
brj-24265	32	14	belt	belt	NOUN
brj-24265	32	15	composed	compose	VERB
brj-24265	32	16	of	of	ADP
brj-24265	32	17	synthetic	synthetic	ADJ
brj-24265	32	18	monofilaments	monofilament	NOUN
brj-24265	32	19	.	.	PUNCT
brj-24265	33	1	it	it	PRON
brj-24265	33	2	has	have	VERB
brj-24265	33	3	two	two	NUM
brj-24265	33	4	distinct	distinct	ADJ
brj-24265	33	5	sides	side	NOUN
brj-24265	33	6	—	—	PUNCT
brj-24265	33	7	a	a	DET
brj-24265	33	8	forming	form	VERB
brj-24265	33	9	surface	surface	NOUN
brj-24265	33	10	and	and	CCONJ
brj-24265	33	11	a	a	DET
brj-24265	33	12	wearing	wear	VERB
brj-24265	33	13	surface	surface	NOUN
brj-24265	33	14	—	—	PUNCT
brj-24265	33	15	with	with	ADP
brj-24265	33	16	typical	typical	ADJ
brj-24265	33	17	filament	filament	NOUN
brj-24265	33	18	spacings	spacing	NOUN
brj-24265	33	19	of	of	ADP
brj-24265	33	20	0.3	0.3	NUM
brj-24265	33	21	to	to	PART
brj-24265	33	22	0.6	0.6	NUM
brj-24265	33	23	mm	mm	NOUN
brj-24265	33	24	(	(	PUNCT
brj-24265	33	25	adanur	adanur	PROPN
brj-24265	33	26	2017	2017	NUM
brj-24265	33	27	)	)	PUNCT
brj-24265	33	28	.	.	PUNCT
brj-24265	34	1	during	during	ADP
brj-24265	34	2	the	the	DET
brj-24265	34	3	paper	paper	NOUN
brj-24265	34	4	formation	formation	NOUN
brj-24265	34	5	process	process	NOUN
brj-24265	34	6	,	,	PUNCT
brj-24265	34	7	the	the	DET
brj-24265	34	8	fiber	fiber	NOUN
brj-24265	34	9	suspension	suspension	NOUN
brj-24265	34	10	(	(	PUNCT
brj-24265	34	11	headbox	headbox	NOUN
brj-24265	34	12	jet	jet	NOUN
brj-24265	34	13	)	)	PUNCT
brj-24265	34	14	is	be	AUX
brj-24265	34	15	delivered	deliver	VERB
brj-24265	34	16	onto	onto	ADP
brj-24265	34	17	the	the	DET
brj-24265	34	18	forming	form	VERB
brj-24265	34	19	surface	surface	NOUN
brj-24265	34	20	,	,	PUNCT
brj-24265	34	21	where	where	SCONJ
brj-24265	34	22	water	water	NOUN
brj-24265	34	23	drainage	drainage	NOUN
brj-24265	34	24	and	and	CCONJ
brj-24265	34	25	fiber	fiber	NOUN
brj-24265	34	26	deposition	deposition	NOUN
brj-24265	34	27	inevitably	inevitably	ADV
brj-24265	34	28	imprint	imprint	VERB
brj-24265	34	29	the	the	DET
brj-24265	34	30	mesh	mesh	NOUN
brj-24265	34	31	structure	structure	NOUN
brj-24265	34	32	onto	onto	ADP
brj-24265	34	33	the	the	DET
brj-24265	34	34	paper	paper	NOUN
brj-24265	34	35	surface	surface	NOUN
brj-24265	34	36	.	.	PUNCT
brj-24265	35	1	these	these	DET
brj-24265	35	2	imprints	imprint	NOUN
brj-24265	35	3	are	be	AUX
brj-24265	35	4	known	know	VERB
brj-24265	35	5	as	as	ADP
brj-24265	35	6	weave	weave	NOUN
brj-24265	35	7	marks	mark	NOUN
brj-24265	35	8	or	or	CCONJ
brj-24265	35	9	wire	wire	NOUN
brj-24265	35	10	marks	mark	NOUN
brj-24265	35	11	.	.	PUNCT
brj-24265	36	1	in	in	ADP
brj-24265	36	2	addition	addition	NOUN
brj-24265	36	3	to	to	ADP
brj-24265	36	4	weave	weave	NOUN
brj-24265	36	5	marks	mark	NOUN
brj-24265	36	6	,	,	PUNCT
brj-24265	36	7	other	other	ADJ
brj-24265	36	8	periodic	periodic	ADJ
brj-24265	36	9	marks	mark	NOUN
brj-24265	36	10	arise	arise	VERB
brj-24265	36	11	throughout	throughout	ADP
brj-24265	36	12	the	the	DET
brj-24265	36	13	papermaking	papermaking	NOUN
brj-24265	36	14	process	process	NOUN
brj-24265	36	15	due	due	ADP
brj-24265	36	16	to	to	ADP
brj-24265	36	17	mechanical	mechanical	ADJ
brj-24265	36	18	interactions	interaction	NOUN
brj-24265	36	19	in	in	ADP
brj-24265	36	20	various	various	ADJ
brj-24265	36	21	machine	machine	NOUN
brj-24265	36	22	sections	section	NOUN
brj-24265	36	23	.	.	PUNCT
brj-24265	37	1	these	these	PRON
brj-24265	37	2	include	include	VERB
brj-24265	37	3	:	:	PUNCT
brj-24265	37	4	(	(	PUNCT
brj-24265	37	5	1	1	X
brj-24265	37	6	)	)	PUNCT
brj-24265	37	7	drainage	drainage	NOUN
brj-24265	37	8	marks	mark	NOUN
brj-24265	37	9	from	from	ADP
brj-24265	37	10	variations	variation	NOUN
brj-24265	37	11	in	in	ADP
brj-24265	37	12	dewatering	dewatere	VERB
brj-24265	37	13	in	in	ADP
brj-24265	37	14	the	the	DET
brj-24265	37	15	wire	wire	NOUN
brj-24265	37	16	section	section	NOUN
brj-24265	37	17	,	,	PUNCT
brj-24265	37	18	(	(	PUNCT
brj-24265	37	19	2	2	X
brj-24265	37	20	)	)	PUNCT
brj-24265	37	21	shadow	shadow	NOUN
brj-24265	37	22	marks	mark	NOUN
brj-24265	37	23	from	from	ADP
brj-24265	37	24	suction	suction	NOUN
brj-24265	37	25	rolls	roll	NOUN
brj-24265	37	26	,	,	PUNCT
brj-24265	37	27	(	(	PUNCT
brj-24265	37	28	3	3	X
brj-24265	37	29	)	)	PUNCT
brj-24265	37	30	press	press	NOUN
brj-24265	37	31	felt	feel	VERB
brj-24265	37	32	marks	mark	NOUN
brj-24265	37	33	from	from	ADP
brj-24265	37	34	the	the	DET
brj-24265	37	35	press	press	NOUN
brj-24265	37	36	section	section	NOUN
brj-24265	37	37	,	,	PUNCT
brj-24265	37	38	(	(	PUNCT
brj-24265	37	39	4	4	X
brj-24265	37	40	)	)	PUNCT
brj-24265	37	41	groove	groove	NOUN
brj-24265	37	42	marks	mark	NOUN
brj-24265	37	43	from	from	ADP
brj-24265	37	44	shoe	shoe	NOUN
brj-24265	37	45	press	press	NOUN
brj-24265	37	46	belts	belt	NOUN
brj-24265	37	47	,	,	PUNCT
brj-24265	37	48	and	and	CCONJ
brj-24265	37	49	(	(	PUNCT
brj-24265	37	50	5	5	X
brj-24265	37	51	)	)	PUNCT
brj-24265	37	52	canvas	canvas	NOUN
brj-24265	37	53	and	and	CCONJ
brj-24265	37	54	dryer	dryer	NOUN
brj-24265	37	55	fabric	fabric	NOUN
brj-24265	37	56	marks	mark	NOUN
brj-24265	37	57	from	from	ADP
brj-24265	37	58	the	the	DET
brj-24265	37	59	drying	dry	VERB
brj-24265	37	60	section	section	NOUN
brj-24265	37	61	.	.	PUNCT
brj-24265	38	1	because	because	SCONJ
brj-24265	38	2	such	such	ADJ
brj-24265	38	3	periodic	periodic	ADJ
brj-24265	38	4	marks	mark	NOUN
brj-24265	38	5	are	be	AUX
brj-24265	38	6	consistently	consistently	ADV
brj-24265	38	7	and	and	CCONJ
brj-24265	38	8	uniquely	uniquely	ADV
brj-24265	38	9	introduced	introduce	VERB
brj-24265	38	10	during	during	ADP
brj-24265	38	11	paper	paper	NOUN
brj-24265	38	12	manufacturing	manufacturing	NOUN
brj-24265	38	13	,	,	PUNCT
brj-24265	38	14	they	they	PRON
brj-24265	38	15	serve	serve	VERB
brj-24265	38	16	as	as	ADP
brj-24265	38	17	valuable	valuable	ADJ
brj-24265	38	18	forensic	forensic	ADJ
brj-24265	38	19	features	feature	NOUN
brj-24265	38	20	.	.	PUNCT
brj-24265	39	1	they	they	PRON
brj-24265	39	2	have	have	AUX
brj-24265	39	3	been	be	AUX
brj-24265	39	4	widely	widely	ADV
brj-24265	39	5	documented	document	VERB
brj-24265	39	6	for	for	ADP
brj-24265	39	7	applications	application	NOUN
brj-24265	39	8	in	in	ADP
brj-24265	39	9	paper	paper	NOUN
brj-24265	39	10	origin	origin	NOUN
brj-24265	39	11	discrimination	discrimination	NOUN
brj-24265	39	12	and	and	CCONJ
brj-24265	39	13	manufacturing	manufacturing	NOUN
brj-24265	39	14	date	date	NOUN
brj-24265	39	15	estimation	estimation	NOUN
brj-24265	39	16	(	(	PUNCT
brj-24265	39	17	berger	berger	PROPN
brj-24265	39	18	2009	2009	NUM
brj-24265	39	19	;	;	PUNCT
brj-24265	39	20	jeong	jeong	PROPN
brj-24265	39	21	et	et	PROPN
brj-24265	39	22	al	al	PROPN
brj-24265	39	23	.	.	PROPN
brj-24265	39	24	2024a	2024a	NUM
brj-24265	39	25	,	,	PUNCT
brj-24265	39	26	b	b	X
brj-24265	39	27	;	;	PUNCT
brj-24265	39	28	lee	lee	PROPN
brj-24265	39	29	et	et	PROPN
brj-24265	39	30	al	al	PROPN
brj-24265	39	31	.	.	PROPN
brj-24265	39	32	2024c	2024c	NUM
brj-24265	39	33	;	;	PUNCT
brj-24265	39	34	lee	lee	PROPN
brj-24265	39	35	et	et	PROPN
brj-24265	39	36	al	al	PROPN
brj-24265	39	37	.	.	PROPN
brj-24265	39	38	2025b	2025b	NUM
brj-24265	39	39	)	)	PUNCT
brj-24265	39	40	.	.	PUNCT
brj-24265	40	1	distinguishing	distinguish	VERB
brj-24265	40	2	paper	paper	NOUN
brj-24265	40	3	manufacturers	manufacturer	NOUN
brj-24265	40	4	and	and	CCONJ
brj-24265	40	5	products	product	NOUN
brj-24265	40	6	can	can	AUX
brj-24265	40	7	support	support	VERB
brj-24265	40	8	forensic	forensic	ADJ
brj-24265	40	9	investigations	investigation	NOUN
brj-24265	40	10	involving	involve	VERB
brj-24265	40	11	document	document	NOUN
brj-24265	40	12	alterations	alteration	NOUN
brj-24265	40	13	,	,	PUNCT
brj-24265	40	14	such	such	ADJ
brj-24265	40	15	as	as	ADP
brj-24265	40	16	detecting	detect	VERB
brj-24265	40	17	substituted	substitute	VERB
brj-24265	40	18	pages	page	NOUN
brj-24265	40	19	or	or	CCONJ
brj-24265	40	20	inserted	insert	VERB
brj-24265	40	21	content	content	NOUN
brj-24265	40	22	in	in	ADP
brj-24265	40	23	multipage	multipage	NOUN
brj-24265	40	24	documents	document	NOUN
brj-24265	40	25	(	(	PUNCT
brj-24265	40	26	berger	berger	PROPN
brj-24265	40	27	and	and	CCONJ
brj-24265	40	28	ramos	ramos	PROPN
brj-24265	40	29	2012	2012	NUM
brj-24265	40	30	;	;	PUNCT
brj-24265	40	31	comte	comte	NOUN
brj-24265	40	32	et	et	PROPN
brj-24265	40	33	al	al	PROPN
brj-24265	40	34	.	.	PROPN
brj-24265	40	35	2006	2006	NUM
brj-24265	40	36	;	;	PUNCT
brj-24265	40	37	miyata	miyata	PROPN
brj-24265	40	38	et	et	PROPN
brj-24265	40	39	al	al	PROPN
brj-24265	40	40	.	.	PROPN
brj-24265	40	41	2002	2002	NUM
brj-24265	40	42	)	)	PUNCT
brj-24265	40	43	.	.	PUNCT
brj-24265	41	1	while	while	SCONJ
brj-24265	41	2	various	various	ADJ
brj-24265	41	3	analytical	analytical	ADJ
brj-24265	41	4	techniques	technique	NOUN
brj-24265	41	5	for	for	ADP
brj-24265	41	6	paper	paper	NOUN
brj-24265	41	7	source	source	NOUN
brj-24265	41	8	identification	identification	NOUN
brj-24265	41	9	have	have	AUX
brj-24265	41	10	been	be	AUX
brj-24265	41	11	extensively	extensively	ADV
brj-24265	41	12	reported	report	VERB
brj-24265	41	13	,	,	PUNCT
brj-24265	41	14	these	these	DET
brj-24265	41	15	approaches	approach	NOUN
brj-24265	41	16	do	do	AUX
brj-24265	41	17	not	not	PART
brj-24265	41	18	offer	offer	VERB
brj-24265	41	19	the	the	DET
brj-24265	41	20	same	same	ADJ
brj-24265	41	21	level	level	NOUN
brj-24265	41	22	of	of	ADP
brj-24265	41	23	forensic	forensic	ADJ
brj-24265	41	24	resolution	resolution	NOUN
brj-24265	41	25	as	as	ADP
brj-24265	41	26	methods	method	NOUN
brj-24265	41	27	aimed	aim	VERB
brj-24265	41	28	at	at	ADP
brj-24265	41	29	determining	determine	VERB
brj-24265	41	30	the	the	DET
brj-24265	41	31	manufacturing	manufacturing	NOUN
brj-24265	41	32	date	date	NOUN
brj-24265	41	33	of	of	ADP
brj-24265	41	34	a	a	DET
brj-24265	41	35	document	document	NOUN
brj-24265	41	36	.	.	PUNCT
brj-24265	42	1	in	in	ADP
brj-24265	42	2	contrast	contrast	NOUN
brj-24265	42	3	,	,	PUNCT
brj-24265	42	4	studies	study	NOUN
brj-24265	42	5	focused	focus	VERB
brj-24265	42	6	on	on	ADP
brj-24265	42	7	document	document	NOUN
brj-24265	42	8	dating	date	VERB
brj-24265	42	9	remain	remain	VERB
brj-24265	42	10	relatively	relatively	ADV
brj-24265	42	11	limited	limited	ADJ
brj-24265	42	12	,	,	PUNCT
brj-24265	42	13	primarily	primarily	ADV
brj-24265	42	14	due	due	ADP
brj-24265	42	15	to	to	ADP
brj-24265	42	16	the	the	DET
brj-24265	42	17	inherent	inherent	ADJ
brj-24265	42	18	challenges	challenge	NOUN
brj-24265	42	19	associated	associate	VERB
brj-24265	42	20	with	with	ADP
brj-24265	42	21	such	such	ADJ
brj-24265	42	22	analyses	analysis	NOUN
brj-24265	42	23	.	.	PUNCT
brj-24265	43	1	these	these	DET
brj-24265	43	2	challenges	challenge	NOUN
brj-24265	43	3	include	include	VERB
brj-24265	43	4	potential	potential	ADJ
brj-24265	43	5	contamination	contamination	NOUN
brj-24265	43	6	,	,	PUNCT
brj-24265	43	7	as	as	ADV
brj-24265	43	8	well	well	ADV
brj-24265	43	9	as	as	ADP
brj-24265	43	10	the	the	DET
brj-24265	43	11	fact	fact	NOUN
brj-24265	43	12	that	that	SCONJ
brj-24265	43	13	the	the	DET
brj-24265	43	14	aging	age	VERB
brj-24265	43	15	behavior	behavior	NOUN
brj-24265	43	16	of	of	ADP
brj-24265	43	17	paper	paper	NOUN
brj-24265	43	18	is	be	AUX
brj-24265	43	19	highly	highly	ADV
brj-24265	43	20	sensitive	sensitive	ADJ
brj-24265	43	21	to	to	ADP
brj-24265	43	22	storage	storage	NOUN
brj-24265	43	23	conditions	condition	NOUN
brj-24265	43	24	,	,	PUNCT
brj-24265	43	25	making	make	VERB
brj-24265	43	26	it	it	PRON
brj-24265	43	27	difficult	difficult	ADJ
brj-24265	43	28	to	to	PART
brj-24265	43	29	establish	establish	VERB
brj-24265	43	30	consistent	consistent	ADJ
brj-24265	43	31	chronological	chronological	ADJ
brj-24265	43	32	markers	marker	NOUN
brj-24265	43	33	.	.	PUNCT
brj-24265	44	1	peer	peer	NOUN
brj-24265	44	2	-	-	PUNCT
brj-24265	44	3	reviewed	review	VERB
brj-24265	44	4	article	article	NOUN
brj-24265	44	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24265	44	6	lee	lee	PROPN
brj-24265	44	7	et	et	PROPN
brj-24265	44	8	al	al	PROPN
brj-24265	44	9	.	.	PROPN
brj-24265	45	1	(	(	PUNCT
brj-24265	45	2	2025	2025	NUM
brj-24265	45	3	)	)	PUNCT
brj-24265	45	4	.	.	PUNCT
brj-24265	46	1	“	"	PUNCT
brj-24265	46	2	wire	wire	NOUN
brj-24265	46	3	-	-	PUNCT
brj-24265	46	4	mark	mark	NOUN
brj-24265	46	5	analysis	analysis	NOUN
brj-24265	46	6	of	of	ADP
brj-24265	46	7	paper	paper	NOUN
brj-24265	46	8	,	,	PUNCT
brj-24265	46	9	”	"	PUNCT
brj-24265	46	10	bioresources	bioresource	VERB
brj-24265	46	11	20(4	20(4	NOUN
brj-24265	46	12	)	)	PUNCT
brj-24265	46	13	,	,	PUNCT
brj-24265	46	14	9208	9208	NUM
brj-24265	46	15	-	-	SYM
brj-24265	46	16	9225	9225	NUM
brj-24265	46	17	.	.	PUNCT
brj-24265	47	1	9210	9210	NUM
brj-24265	47	2	in	in	ADP
brj-24265	47	3	the	the	DET
brj-24265	47	4	authors	author	NOUN
brj-24265	47	5	’	’	PART
brj-24265	47	6	previous	previous	ADJ
brj-24265	47	7	studies	study	NOUN
brj-24265	47	8	on	on	ADP
brj-24265	47	9	forensic	forensic	ADJ
brj-24265	47	10	document	document	NOUN
brj-24265	47	11	dating	date	VERB
brj-24265	47	12	,	,	PUNCT
brj-24265	47	13	periodic	periodic	ADJ
brj-24265	47	14	marks	mark	NOUN
brj-24265	47	15	were	be	AUX
brj-24265	47	16	analyzed	analyze	VERB
brj-24265	47	17	using	use	VERB
brj-24265	47	18	a	a	DET
brj-24265	47	19	2d	2d	NUM
brj-24265	47	20	lab	lab	NOUN
brj-24265	47	21	formation	formation	NOUN
brj-24265	47	22	sensor	sensor	NOUN
brj-24265	47	23	(	(	PUNCT
brj-24265	47	24	lee	lee	PROPN
brj-24265	47	25	et	et	PROPN
brj-24265	47	26	al	al	PROPN
brj-24265	47	27	.	.	PROPN
brj-24265	47	28	2024c	2024c	NUM
brj-24265	47	29	)	)	PUNCT
brj-24265	47	30	.	.	PUNCT
brj-24265	48	1	to	to	ADP
brj-24265	48	2	the	the	DET
brj-24265	48	3	best	good	ADJ
brj-24265	48	4	of	of	ADP
brj-24265	48	5	the	the	DET
brj-24265	48	6	authors	author	NOUN
brj-24265	48	7	’	’	PART
brj-24265	48	8	knowledge	knowledge	NOUN
brj-24265	48	9	,	,	PUNCT
brj-24265	48	10	periodic	periodic	ADJ
brj-24265	48	11	marks	mark	NOUN
brj-24265	48	12	and	and	CCONJ
brj-24265	48	13	ash	ash	NOUN
brj-24265	48	14	content	content	NOUN
brj-24265	48	15	are	be	AUX
brj-24265	48	16	intrinsic	intrinsic	ADJ
brj-24265	48	17	characteristics	characteristic	NOUN
brj-24265	48	18	of	of	ADP
brj-24265	48	19	paper	paper	NOUN
brj-24265	48	20	that	that	PRON
brj-24265	48	21	remain	remain	VERB
brj-24265	48	22	stable	stable	ADJ
brj-24265	48	23	under	under	ADP
brj-24265	48	24	environmental	environmental	ADJ
brj-24265	48	25	exposure	exposure	NOUN
brj-24265	48	26	and	and	CCONJ
brj-24265	48	27	are	be	AUX
brj-24265	48	28	resistant	resistant	ADJ
brj-24265	48	29	to	to	ADP
brj-24265	48	30	post	post	ADJ
brj-24265	48	31	-	-	ADJ
brj-24265	48	32	manufacturing	manufacturing	ADJ
brj-24265	48	33	tampering	tampering	NOUN
brj-24265	48	34	,	,	PUNCT
brj-24265	48	35	thereby	thereby	ADV
brj-24265	48	36	serving	serve	VERB
brj-24265	48	37	as	as	ADP
brj-24265	48	38	robust	robust	ADJ
brj-24265	48	39	forensic	forensic	ADJ
brj-24265	48	40	markers	marker	NOUN
brj-24265	48	41	(	(	PUNCT
brj-24265	48	42	choi	choi	PROPN
brj-24265	48	43	et	et	PROPN
brj-24265	48	44	al	al	PROPN
brj-24265	48	45	.	.	PROPN
brj-24265	48	46	2018	2018	NUM
brj-24265	48	47	)	)	PUNCT
brj-24265	48	48	.	.	PUNCT
brj-24265	49	1	nevertheless	nevertheless	ADV
brj-24265	49	2	,	,	PUNCT
brj-24265	49	3	ash	ash	NOUN
brj-24265	49	4	content	content	NOUN
brj-24265	49	5	analysis	analysis	NOUN
brj-24265	49	6	often	often	ADV
brj-24265	49	7	requires	require	VERB
brj-24265	49	8	a	a	DET
brj-24265	49	9	relatively	relatively	ADV
brj-24265	49	10	large	large	ADJ
brj-24265	49	11	sample	sample	NOUN
brj-24265	49	12	size	size	NOUN
brj-24265	49	13	and	and	CCONJ
brj-24265	49	14	may	may	AUX
brj-24265	49	15	involve	involve	VERB
brj-24265	49	16	destructive	destructive	ADJ
brj-24265	49	17	procedures	procedure	NOUN
brj-24265	49	18	(	(	PUNCT
brj-24265	49	19	choi	choi	NOUN
brj-24265	49	20	et	et	PROPN
brj-24265	49	21	al	al	PROPN
brj-24265	49	22	.	.	PROPN
brj-24265	49	23	2018	2018	NUM
brj-24265	49	24	)	)	PUNCT
brj-24265	49	25	.	.	PUNCT
brj-24265	50	1	in	in	ADP
brj-24265	50	2	the	the	DET
brj-24265	50	3	authors	author	NOUN
brj-24265	50	4	’	'	PUNCT
brj-24265	50	5	earlier	early	ADJ
brj-24265	50	6	work	work	NOUN
brj-24265	50	7	,	,	PUNCT
brj-24265	50	8	an	an	DET
brj-24265	50	9	artificial	artificial	ADJ
brj-24265	50	10	neural	neural	ADJ
brj-24265	50	11	network	network	NOUN
brj-24265	50	12	(	(	PUNCT
brj-24265	50	13	ann	ann	PROPN
brj-24265	50	14	)	)	PUNCT
brj-24265	50	15	classifier	classifier	NOUN
brj-24265	50	16	was	be	AUX
brj-24265	50	17	developed	develop	VERB
brj-24265	50	18	using	use	VERB
brj-24265	50	19	features	feature	NOUN
brj-24265	50	20	derived	derive	VERB
brj-24265	50	21	from	from	ADP
brj-24265	50	22	periodic	periodic	ADJ
brj-24265	50	23	surface	surface	NOUN
brj-24265	50	24	patterns	pattern	NOUN
brj-24265	50	25	,	,	PUNCT
brj-24265	50	26	achieving	achieve	VERB
brj-24265	50	27	a	a	DET
brj-24265	50	28	high	high	ADJ
brj-24265	50	29	classification	classification	NOUN
brj-24265	50	30	performance	performance	NOUN
brj-24265	50	31	with	with	ADP
brj-24265	50	32	an	an	DET
brj-24265	50	33	f1	f1	ADJ
brj-24265	50	34	score	score	NOUN
brj-24265	50	35	of	of	ADP
brj-24265	50	36	0.951	0.951	NUM
brj-24265	50	37	.	.	PUNCT
brj-24265	51	1	although	although	SCONJ
brj-24265	51	2	this	this	DET
brj-24265	51	3	analytical	analytical	ADJ
brj-24265	51	4	approach	approach	NOUN
brj-24265	51	5	is	be	AUX
brj-24265	51	6	highly	highly	ADV
brj-24265	51	7	effective	effective	ADJ
brj-24265	51	8	,	,	PUNCT
brj-24265	51	9	ann	ann	PROPN
brj-24265	51	10	models	model	NOUN
brj-24265	51	11	are	be	AUX
brj-24265	51	12	inherently	inherently	ADV
brj-24265	51	13	prone	prone	ADJ
brj-24265	51	14	to	to	ADP
brj-24265	51	15	overfitting	overfitte	VERB
brj-24265	51	16	and	and	CCONJ
brj-24265	51	17	are	be	AUX
brj-24265	51	18	known	know	VERB
brj-24265	51	19	to	to	PART
brj-24265	51	20	exhibit	exhibit	VERB
brj-24265	51	21	limited	limited	ADJ
brj-24265	51	22	extrapolation	extrapolation	NOUN
brj-24265	51	23	capabilities	capability	NOUN
brj-24265	51	24	(	(	PUNCT
brj-24265	51	25	rhein	rhein	NOUN
brj-24265	51	26	et	et	PROPN
brj-24265	51	27	al	al	PROPN
brj-24265	51	28	.	.	PROPN
brj-24265	51	29	2024	2024	NUM
brj-24265	51	30	)	)	PUNCT
brj-24265	51	31	.	.	PUNCT
brj-24265	52	1	furthermore	furthermore	ADV
brj-24265	52	2	,	,	PUNCT
brj-24265	52	3	neural	neural	ADJ
brj-24265	52	4	networks	network	NOUN
brj-24265	52	5	often	often	ADV
brj-24265	52	6	function	function	VERB
brj-24265	52	7	as	as	ADP
brj-24265	52	8	“	"	PUNCT
brj-24265	52	9	black	black	ADJ
brj-24265	52	10	box	box	NOUN
brj-24265	52	11	”	"	PUNCT
brj-24265	52	12	models	model	NOUN
brj-24265	52	13	,	,	PUNCT
brj-24265	52	14	offering	offer	VERB
brj-24265	52	15	little	little	ADJ
brj-24265	52	16	interpretability	interpretability	NOUN
brj-24265	52	17	with	with	ADP
brj-24265	52	18	respect	respect	NOUN
brj-24265	52	19	to	to	ADP
brj-24265	52	20	the	the	DET
brj-24265	52	21	meaning	meaning	NOUN
brj-24265	52	22	or	or	CCONJ
brj-24265	52	23	significance	significance	NOUN
brj-24265	52	24	of	of	ADP
brj-24265	52	25	individual	individual	ADJ
brj-24265	52	26	weights	weight	NOUN
brj-24265	52	27	(	(	PUNCT
brj-24265	52	28	lundberg	lundberg	PROPN
brj-24265	52	29	and	and	CCONJ
brj-24265	52	30	lee	lee	PROPN
brj-24265	52	31	2017	2017	NUM
brj-24265	52	32	)	)	PUNCT
brj-24265	52	33	.	.	PUNCT
brj-24265	53	1	most	most	ADV
brj-24265	53	2	importantly	importantly	ADV
brj-24265	53	3	,	,	PUNCT
brj-24265	53	4	machine	machine	NOUN
brj-24265	53	5	learning	learning	NOUN
brj-24265	53	6	–	–	PUNCT
brj-24265	53	7	based	base	VERB
brj-24265	53	8	training	training	NOUN
brj-24265	53	9	and	and	CCONJ
brj-24265	53	10	prediction	prediction	NOUN
brj-24265	53	11	processes	process	NOUN
brj-24265	53	12	are	be	AUX
brj-24265	53	13	often	often	ADV
brj-24265	53	14	not	not	PART
brj-24265	53	15	user	user	NOUN
brj-24265	53	16	-	-	PUNCT
brj-24265	53	17	friendly	friendly	ADJ
brj-24265	53	18	,	,	PUNCT
brj-24265	53	19	requiring	require	VERB
brj-24265	53	20	specialized	specialized	ADJ
brj-24265	53	21	expertise	expertise	NOUN
brj-24265	53	22	and	and	CCONJ
brj-24265	53	23	computational	computational	ADJ
brj-24265	53	24	resources	resource	NOUN
brj-24265	53	25	that	that	PRON
brj-24265	53	26	may	may	AUX
brj-24265	53	27	limit	limit	VERB
brj-24265	53	28	their	their	PRON
brj-24265	53	29	accessibility	accessibility	NOUN
brj-24265	53	30	in	in	ADP
brj-24265	53	31	practical	practical	ADJ
brj-24265	53	32	forensic	forensic	ADJ
brj-24265	53	33	settings	setting	NOUN
brj-24265	53	34	.	.	PUNCT
brj-24265	54	1	the	the	DET
brj-24265	54	2	objective	objective	NOUN
brj-24265	54	3	of	of	ADP
brj-24265	54	4	this	this	DET
brj-24265	54	5	study	study	NOUN
brj-24265	54	6	was	be	AUX
brj-24265	54	7	to	to	PART
brj-24265	54	8	develop	develop	VERB
brj-24265	54	9	user	user	NOUN
brj-24265	54	10	-	-	PUNCT
brj-24265	54	11	friendly	friendly	ADJ
brj-24265	54	12	methods	method	NOUN
brj-24265	54	13	,	,	PUNCT
brj-24265	54	14	such	such	ADJ
brj-24265	54	15	as	as	ADP
brj-24265	54	16	univariate	univariate	ADJ
brj-24265	54	17	approaches	approach	NOUN
brj-24265	54	18	,	,	PUNCT
brj-24265	54	19	for	for	ADP
brj-24265	54	20	paper	paper	NOUN
brj-24265	54	21	differentiation	differentiation	NOUN
brj-24265	54	22	.	.	PUNCT
brj-24265	55	1	previous	previous	ADJ
brj-24265	55	2	studies	study	NOUN
brj-24265	55	3	have	have	AUX
brj-24265	55	4	primarily	primarily	ADV
brj-24265	55	5	employed	employ	VERB
brj-24265	55	6	multivariate	multivariate	NOUN
brj-24265	55	7	and	and	CCONJ
brj-24265	55	8	ann	ann	PROPN
brj-24265	55	9	-	-	PUNCT
brj-24265	55	10	based	base	VERB
brj-24265	55	11	classification	classification	NOUN
brj-24265	55	12	models	model	NOUN
brj-24265	55	13	.	.	PUNCT
brj-24265	56	1	in	in	ADP
brj-24265	56	2	this	this	DET
brj-24265	56	3	study	study	NOUN
brj-24265	56	4	,	,	PUNCT
brj-24265	56	5	a	a	DET
brj-24265	56	6	2d	2d	NUM
brj-24265	56	7	lab	lab	NOUN
brj-24265	56	8	formation	formation	NOUN
brj-24265	56	9	sensor	sensor	NOUN
brj-24265	56	10	was	be	AUX
brj-24265	56	11	used	use	VERB
brj-24265	56	12	to	to	PART
brj-24265	56	13	extract	extract	VERB
brj-24265	56	14	features	feature	NOUN
brj-24265	56	15	related	relate	VERB
brj-24265	56	16	to	to	ADP
brj-24265	56	17	periodic	periodic	ADJ
brj-24265	56	18	marks	mark	NOUN
brj-24265	56	19	on	on	ADP
brj-24265	56	20	the	the	DET
brj-24265	56	21	paper	paper	NOUN
brj-24265	56	22	surface	surface	NOUN
brj-24265	56	23	.	.	PUNCT
brj-24265	57	1	feature	feature	NOUN
brj-24265	57	2	importance	importance	NOUN
brj-24265	57	3	was	be	AUX
brj-24265	57	4	then	then	ADV
brj-24265	57	5	evaluated	evaluate	VERB
brj-24265	57	6	using	use	VERB
brj-24265	57	7	a	a	DET
brj-24265	57	8	random	random	ADJ
brj-24265	57	9	forest	forest	NOUN
brj-24265	57	10	(	(	PUNCT
brj-24265	57	11	rf	rf	NOUN
brj-24265	57	12	)	)	PUNCT
brj-24265	57	13	model	model	NOUN
brj-24265	57	14	to	to	PART
brj-24265	57	15	identify	identify	VERB
brj-24265	57	16	the	the	DET
brj-24265	57	17	most	most	ADV
brj-24265	57	18	relevant	relevant	ADJ
brj-24265	57	19	periodic	periodic	ADJ
brj-24265	57	20	mark	mark	NOUN
brj-24265	57	21	characteristics	characteristic	NOUN
brj-24265	57	22	.	.	PUNCT
brj-24265	58	1	ultimately	ultimately	ADV
brj-24265	58	2	,	,	PUNCT
brj-24265	58	3	the	the	DET
brj-24265	58	4	aim	aim	NOUN
brj-24265	58	5	is	be	AUX
brj-24265	58	6	to	to	PART
brj-24265	58	7	identify	identify	VERB
brj-24265	58	8	key	key	ADJ
brj-24265	58	9	periodic	periodic	ADJ
brj-24265	58	10	mark	mark	NOUN
brj-24265	58	11	features	feature	NOUN
brj-24265	58	12	that	that	PRON
brj-24265	58	13	are	be	AUX
brj-24265	58	14	critical	critical	ADJ
brj-24265	58	15	for	for	SCONJ
brj-24265	58	16	forensic	forensic	ADJ
brj-24265	58	17	document	document	NOUN
brj-24265	58	18	dating	date	VERB
brj-24265	58	19	and	and	CCONJ
brj-24265	58	20	to	to	PART
brj-24265	58	21	propose	propose	VERB
brj-24265	58	22	a	a	DET
brj-24265	58	23	method	method	NOUN
brj-24265	58	24	for	for	ADP
brj-24265	58	25	constructing	construct	VERB
brj-24265	58	26	a	a	DET
brj-24265	58	27	database	database	NOUN
brj-24265	58	28	that	that	PRON
brj-24265	58	29	integrates	integrate	VERB
brj-24265	58	30	these	these	DET
brj-24265	58	31	features	feature	NOUN
brj-24265	58	32	using	use	VERB
brj-24265	58	33	an	an	DET
brj-24265	58	34	accessible	accessible	ADJ
brj-24265	58	35	,	,	PUNCT
brj-24265	58	36	user	user	NOUN
brj-24265	58	37	-	-	PUNCT
brj-24265	58	38	friendly	friendly	ADJ
brj-24265	58	39	analytical	analytical	ADJ
brj-24265	58	40	approach	approach	NOUN
brj-24265	58	41	.	.	PUNCT
brj-24265	59	1	experimental	experimental	ADJ
brj-24265	59	2	materials	material	NOUN
brj-24265	59	3	the	the	DET
brj-24265	59	4	information	information	NOUN
brj-24265	59	5	on	on	ADP
brj-24265	59	6	the	the	DET
brj-24265	59	7	printing	printing	NOUN
brj-24265	59	8	paper	paper	NOUN
brj-24265	59	9	used	use	VERB
brj-24265	59	10	in	in	ADP
brj-24265	59	11	this	this	DET
brj-24265	59	12	study	study	NOUN
brj-24265	59	13	is	be	AUX
brj-24265	59	14	presented	present	VERB
brj-24265	59	15	in	in	ADP
brj-24265	59	16	table	table	NOUN
brj-24265	59	17	1	1	NUM
brj-24265	59	18	.	.	PUNCT
brj-24265	60	1	for	for	ADP
brj-24265	60	2	document	document	NOUN
brj-24265	60	3	paper	paper	NOUN
brj-24265	60	4	dating	dating	NOUN
brj-24265	60	5	,	,	PUNCT
brj-24265	60	6	12	12	NUM
brj-24265	60	7	products	product	NOUN
brj-24265	60	8	were	be	AUX
brj-24265	60	9	collected	collect	VERB
brj-24265	60	10	,	,	PUNCT
brj-24265	60	11	all	all	ADV
brj-24265	60	12	from	from	ADP
brj-24265	60	13	the	the	DET
brj-24265	60	14	same	same	ADJ
brj-24265	60	15	manufacturer	manufacturer	NOUN
brj-24265	60	16	but	but	CCONJ
brj-24265	60	17	differing	differ	VERB
brj-24265	60	18	by	by	ADP
brj-24265	60	19	production	production	NOUN
brj-24265	60	20	date	date	NOUN
brj-24265	60	21	.	.	PUNCT
brj-24265	61	1	the	the	DET
brj-24265	61	2	“	"	PUNCT
brj-24265	61	3	h	h	NOUN
brj-24265	61	4	”	"	PUNCT
brj-24265	61	5	product	product	NOUN
brj-24265	61	6	was	be	AUX
brj-24265	61	7	typical	typical	ADJ
brj-24265	61	8	office	office	NOUN
brj-24265	61	9	paper	paper	NOUN
brj-24265	61	10	in	in	ADP
brj-24265	61	11	a4	a4	NOUN
brj-24265	61	12	size	size	NOUN
brj-24265	61	13	(	(	PUNCT
brj-24265	61	14	210	210	NUM
brj-24265	61	15	mm	mm	NOUN
brj-24265	61	16	×	×	PROPN
brj-24265	61	17	297	297	NUM
brj-24265	61	18	mm	mm	NOUN
brj-24265	61	19	)	)	PUNCT
brj-24265	61	20	.	.	PUNCT
brj-24265	62	1	table	table	NOUN
brj-24265	62	2	1	1	NUM
brj-24265	62	3	.	.	X
brj-24265	62	4	information	information	NOUN
brj-24265	62	5	on	on	ADP
brj-24265	62	6	printing	print	VERB
brj-24265	62	7	paper	paper	NOUN
brj-24265	62	8	with	with	ADP
brj-24265	62	9	different	different	ADJ
brj-24265	62	10	manufacturing	manufacturing	NOUN
brj-24265	62	11	dates	date	VERB
brj-24265	62	12	no	no	PRON
brj-24265	62	13	.	.	PUNCT
brj-24265	63	1	product	product	NOUN
brj-24265	63	2	code	code	NOUN
brj-24265	63	3	manufacturing	manufacturing	NOUN
brj-24265	63	4	date	date	NOUN
brj-24265	63	5	grammage	grammage	NOUN
brj-24265	63	6	(	(	PUNCT
brj-24265	63	7	g	g	NOUN
brj-24265	63	8	/	/	SYM
brj-24265	63	9	m2	m2	PROPN
brj-24265	63	10	)	)	PUNCT
brj-24265	63	11	1	1	NUM
brj-24265	63	12	“	"	PUNCT
brj-24265	63	13	h	h	NOUN
brj-24265	63	14	”	"	PUNCT
brj-24265	63	15	product	product	NOUN
brj-24265	63	16	from	from	ADP
brj-24265	63	17	a	a	DET
brj-24265	63	18	paper	paper	NOUN
brj-24265	63	19	company	company	NOUN
brj-24265	63	20	h202009	h202009	PROPN
brj-24265	63	21	sep	sep	PROPN
brj-24265	63	22	19th	19th	NOUN
brj-24265	63	23	,	,	PUNCT
brj-24265	63	24	2020	2020	NUM
brj-24265	63	25	80	80	NUM
brj-24265	63	26	2	2	NUM
brj-24265	63	27	h202012	h202012	NOUN
brj-24265	63	28	dec	dec	PROPN
brj-24265	63	29	13th	13th	NOUN
brj-24265	63	30	,	,	PUNCT
brj-24265	63	31	2020	2020	NUM
brj-24265	63	32	3	3	NUM
brj-24265	63	33	h202103	h202103	PROPN
brj-24265	63	34	mar	mar	PROPN
brj-24265	63	35	01st	01st	NOUN
brj-24265	63	36	,	,	PUNCT
brj-24265	63	37	2021	2021	NUM
brj-24265	63	38	4	4	NUM
brj-24265	63	39	h202106	h202106	PROPN
brj-24265	63	40	jun	jun	PROPN
brj-24265	63	41	02nd	02nd	NOUN
brj-24265	63	42	,	,	PUNCT
brj-24265	63	43	2021	2021	NUM
brj-24265	63	44	5	5	NUM
brj-24265	63	45	h202109	h202109	PROPN
brj-24265	63	46	sep	sep	PROPN
brj-24265	63	47	07th	07th	NOUN
brj-24265	63	48	,	,	PUNCT
brj-24265	63	49	2021	2021	NUM
brj-24265	63	50	6	6	NUM
brj-24265	63	51	h202112	h202112	NOUN
brj-24265	63	52	dec	dec	PROPN
brj-24265	63	53	17th	17th	NOUN
brj-24265	63	54	,	,	PUNCT
brj-24265	63	55	2021	2021	NUM
brj-24265	63	56	7	7	NUM
brj-24265	63	57	h202204	h202204	NOUN
brj-24265	63	58	apr	apr	NOUN
brj-24265	63	59	27th	27th	NOUN
brj-24265	63	60	,	,	PUNCT
brj-24265	63	61	2022	2022	NUM
brj-24265	63	62	8	8	NUM
brj-24265	63	63	h202206	h202206	PROPN
brj-24265	63	64	jun	jun	PROPN
brj-24265	63	65	30th	30th	NUM
brj-24265	63	66	,	,	PUNCT
brj-24265	63	67	2022	2022	NUM
brj-24265	63	68	9	9	NUM
brj-24265	63	69	h202210	h202210	ADJ
brj-24265	63	70	oct	oct	PROPN
brj-24265	63	71	18th	18th	NOUN
brj-24265	63	72	,	,	PUNCT
brj-24265	63	73	2022	2022	NUM
brj-24265	63	74	10	10	NUM
brj-24265	63	75	h202301	h202301	NOUN
brj-24265	63	76	jan	jan	PROPN
brj-24265	63	77	28th	28th	NOUN
brj-24265	63	78	,	,	PUNCT
brj-24265	63	79	2023	2023	NUM
brj-24265	63	80	11	11	NUM
brj-24265	63	81	h202304	h202304	PROPN
brj-24265	63	82	apr	apr	NOUN
brj-24265	63	83	10th	10th	NUM
brj-24265	63	84	,	,	PUNCT
brj-24265	63	85	2023	2023	NUM
brj-24265	63	86	12	12	NUM
brj-24265	63	87	h202307	h202307	NOUN
brj-24265	63	88	jul	jul	PROPN
brj-24265	63	89	19th	19th	NOUN
brj-24265	63	90	,	,	PUNCT
brj-24265	63	91	2023	2023	NUM
brj-24265	63	92	peer	peer	NOUN
brj-24265	63	93	-	-	PUNCT
brj-24265	63	94	reviewed	review	VERB
brj-24265	63	95	article	article	NOUN
brj-24265	63	96	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24265	63	97	lee	lee	PROPN
brj-24265	63	98	et	et	PROPN
brj-24265	63	99	al	al	PROPN
brj-24265	63	100	.	.	PROPN
brj-24265	64	1	(	(	PUNCT
brj-24265	64	2	2025	2025	NUM
brj-24265	64	3	)	)	PUNCT
brj-24265	64	4	.	.	PUNCT
brj-24265	65	1	“	"	PUNCT
brj-24265	65	2	wire	wire	NOUN
brj-24265	65	3	-	-	PUNCT
brj-24265	65	4	mark	mark	NOUN
brj-24265	65	5	analysis	analysis	NOUN
brj-24265	65	6	of	of	ADP
brj-24265	65	7	paper	paper	NOUN
brj-24265	65	8	,	,	PUNCT
brj-24265	65	9	”	"	PUNCT
brj-24265	65	10	bioresources	bioresource	VERB
brj-24265	65	11	20(4	20(4	NOUN
brj-24265	65	12	)	)	PUNCT
brj-24265	65	13	,	,	PUNCT
brj-24265	65	14	9208	9208	NUM
brj-24265	65	15	-	-	SYM
brj-24265	65	16	9225	9225	NUM
brj-24265	65	17	.	.	PUNCT
brj-24265	66	1	9211	9211	NUM
brj-24265	66	2	dataset	dataset	VERB
brj-24265	66	3	a	a	DET
brj-24265	66	4	2d	2d	NUM
brj-24265	66	5	lab	lab	NOUN
brj-24265	66	6	formation	formation	NOUN
brj-24265	66	7	sensor	sensor	NOUN
brj-24265	66	8	(	(	PUNCT
brj-24265	66	9	2d	2d	NOUN
brj-24265	66	10	-	-	PUNCT
brj-24265	66	11	f	f	NOUN
brj-24265	66	12	sensor	sensor	NOUN
brj-24265	66	13	)	)	PUNCT
brj-24265	66	14	was	be	AUX
brj-24265	66	15	used	use	VERB
brj-24265	66	16	to	to	PART
brj-24265	66	17	scan	scan	VERB
brj-24265	66	18	the	the	DET
brj-24265	66	19	printing	printing	NOUN
brj-24265	66	20	paper	paper	NOUN
brj-24265	66	21	.	.	PUNCT
brj-24265	67	1	the	the	DET
brj-24265	67	2	data	data	NOUN
brj-24265	67	3	collection	collection	NOUN
brj-24265	67	4	process	process	NOUN
brj-24265	67	5	was	be	AUX
brj-24265	67	6	repeated	repeat	VERB
brj-24265	67	7	,	,	PUNCT
brj-24265	67	8	with	with	ADP
brj-24265	67	9	50	50	NUM
brj-24265	67	10	samples	sample	NOUN
brj-24265	67	11	collected	collect	VERB
brj-24265	67	12	for	for	ADP
brj-24265	67	13	each	each	DET
brj-24265	67	14	product	product	NOUN
brj-24265	67	15	.	.	PUNCT
brj-24265	68	1	in	in	ADP
brj-24265	68	2	addition	addition	NOUN
brj-24265	68	3	,	,	PUNCT
brj-24265	68	4	measurements	measurement	NOUN
brj-24265	68	5	were	be	AUX
brj-24265	68	6	performed	perform	VERB
brj-24265	68	7	randomly	randomly	ADV
brj-24265	68	8	without	without	ADP
brj-24265	68	9	distinguishing	distinguish	VERB
brj-24265	68	10	between	between	ADP
brj-24265	68	11	the	the	DET
brj-24265	68	12	top	top	ADJ
brj-24265	68	13	and	and	CCONJ
brj-24265	68	14	bottom	bottom	ADJ
brj-24265	68	15	sides	side	NOUN
brj-24265	68	16	.	.	PUNCT
brj-24265	69	1	the	the	DET
brj-24265	69	2	2d	2d	PROPN
brj-24265	69	3	-	-	PUNCT
brj-24265	69	4	f	f	NOUN
brj-24265	69	5	sensor	sensor	NOUN
brj-24265	69	6	generated	generate	VERB
brj-24265	69	7	light	light	ADV
brj-24265	69	8	-	-	PUNCT
brj-24265	69	9	transmitted	transmit	VERB
brj-24265	69	10	images	image	NOUN
brj-24265	69	11	automatically	automatically	ADV
brj-24265	69	12	,	,	PUNCT
brj-24265	69	13	which	which	PRON
brj-24265	69	14	were	be	AUX
brj-24265	69	15	then	then	ADV
brj-24265	69	16	analyzed	analyze	VERB
brj-24265	69	17	using	use	VERB
brj-24265	69	18	a	a	DET
brj-24265	69	19	fast	fast	ADJ
brj-24265	69	20	fourier	fourier	NOUN
brj-24265	69	21	transform	transform	NOUN
brj-24265	69	22	algorithm	algorithm	NOUN
brj-24265	69	23	to	to	PART
brj-24265	69	24	examine	examine	VERB
brj-24265	69	25	three	three	NUM
brj-24265	69	26	distinct	distinct	ADJ
brj-24265	69	27	factors	factor	NOUN
brj-24265	69	28	in	in	ADP
brj-24265	69	29	the	the	DET
brj-24265	69	30	images	image	NOUN
brj-24265	69	31	,	,	PUNCT
brj-24265	69	32	i.e.	i.e.	X
brj-24265	69	33	,	,	PUNCT
brj-24265	69	34	intensity	intensity	NOUN
brj-24265	69	35	,	,	PUNCT
brj-24265	69	36	angle	angle	NOUN
brj-24265	69	37	,	,	PUNCT
brj-24265	69	38	and	and	CCONJ
brj-24265	69	39	step	step	NOUN
brj-24265	69	40	(	(	PUNCT
brj-24265	69	41	jeong	jeong	PROPN
brj-24265	69	42	et	et	PROPN
brj-24265	69	43	al	al	PROPN
brj-24265	69	44	.	.	PROPN
brj-24265	69	45	2024a	2024a	NUM
brj-24265	69	46	,	,	PUNCT
brj-24265	69	47	b	b	NOUN
brj-24265	69	48	;	;	PUNCT
brj-24265	69	49	lee	lee	PROPN
brj-24265	69	50	et	et	PROPN
brj-24265	69	51	al	al	PROPN
brj-24265	69	52	.	.	PROPN
brj-24265	69	53	2024c	2024c	NUM
brj-24265	69	54	;	;	PUNCT
brj-24265	69	55	lee	lee	PROPN
brj-24265	69	56	et	et	PROPN
brj-24265	69	57	al	al	PROPN
brj-24265	69	58	.	.	PROPN
brj-24265	69	59	2025b	2025b	NUM
brj-24265	69	60	)	)	PUNCT
brj-24265	69	61	.	.	PUNCT
brj-24265	70	1	figure	figure	NOUN
brj-24265	70	2	1	1	NUM
brj-24265	70	3	illustrates	illustrate	VERB
brj-24265	70	4	the	the	DET
brj-24265	70	5	principles	principle	NOUN
brj-24265	70	6	for	for	ADP
brj-24265	70	7	calculating	calculate	VERB
brj-24265	70	8	the	the	DET
brj-24265	70	9	intensity	intensity	NOUN
brj-24265	70	10	,	,	PUNCT
brj-24265	70	11	step	step	NOUN
brj-24265	70	12	,	,	PUNCT
brj-24265	70	13	and	and	CCONJ
brj-24265	70	14	angle	angle	NOUN
brj-24265	70	15	from	from	ADP
brj-24265	70	16	the	the	DET
brj-24265	70	17	light	light	NOUN
brj-24265	70	18	-	-	PUNCT
brj-24265	70	19	transmitted	transmit	VERB
brj-24265	70	20	images	image	NOUN
brj-24265	70	21	.	.	PUNCT
brj-24265	71	1	the	the	DET
brj-24265	71	2	intensity	intensity	NOUN
brj-24265	71	3	refers	refer	VERB
brj-24265	71	4	to	to	ADP
brj-24265	71	5	the	the	DET
brj-24265	71	6	brightness	brightness	NOUN
brj-24265	71	7	of	of	ADP
brj-24265	71	8	periodic	periodic	ADJ
brj-24265	71	9	marks	mark	NOUN
brj-24265	71	10	on	on	ADP
brj-24265	71	11	paper	paper	NOUN
brj-24265	71	12	.	.	PUNCT
brj-24265	72	1	the	the	DET
brj-24265	72	2	term	term	NOUN
brj-24265	72	3	“	"	PUNCT
brj-24265	72	4	angle	angle	NOUN
brj-24265	72	5	”	"	PUNCT
brj-24265	72	6	indicates	indicate	VERB
brj-24265	72	7	the	the	DET
brj-24265	72	8	orientation	orientation	NOUN
brj-24265	72	9	of	of	ADP
brj-24265	72	10	the	the	DET
brj-24265	72	11	linear	linear	ADJ
brj-24265	72	12	repetitive	repetitive	ADJ
brj-24265	72	13	marks	mark	NOUN
brj-24265	72	14	within	within	ADP
brj-24265	72	15	the	the	DET
brj-24265	72	16	plane	plane	NOUN
brj-24265	72	17	of	of	ADP
brj-24265	72	18	the	the	DET
brj-24265	72	19	paper	paper	NOUN
brj-24265	72	20	,	,	PUNCT
brj-24265	72	21	while	while	SCONJ
brj-24265	72	22	“	"	PUNCT
brj-24265	72	23	step	step	NOUN
brj-24265	72	24	”	"	PUNCT
brj-24265	72	25	refers	refer	VERB
brj-24265	72	26	to	to	ADP
brj-24265	72	27	the	the	DET
brj-24265	72	28	spacing	spacing	NOUN
brj-24265	72	29	between	between	ADP
brj-24265	72	30	these	these	DET
brj-24265	72	31	marks	mark	NOUN
brj-24265	72	32	,	,	PUNCT
brj-24265	72	33	measured	measure	VERB
brj-24265	72	34	in	in	ADP
brj-24265	72	35	millimeters	millimeter	NOUN
brj-24265	72	36	.	.	PUNCT
brj-24265	73	1	fig	fig	NOUN
brj-24265	73	2	.	.	PUNCT
brj-24265	74	1	1	1	X
brj-24265	74	2	.	.	X
brj-24265	74	3	principles	principle	NOUN
brj-24265	74	4	for	for	ADP
brj-24265	74	5	calculating	calculate	VERB
brj-24265	74	6	intensity	intensity	NOUN
brj-24265	74	7	,	,	PUNCT
brj-24265	74	8	step	step	NOUN
brj-24265	74	9	,	,	PUNCT
brj-24265	74	10	and	and	CCONJ
brj-24265	74	11	angle	angle	NOUN
brj-24265	74	12	from	from	ADP
brj-24265	74	13	light	light	ADJ
brj-24265	74	14	-	-	PUNCT
brj-24265	74	15	transmitted	transmit	VERB
brj-24265	74	16	images	image	NOUN
brj-24265	74	17	the	the	DET
brj-24265	74	18	step	step	NOUN
brj-24265	74	19	and	and	CCONJ
brj-24265	74	20	angle	angle	NOUN
brj-24265	74	21	data	datum	NOUN
brj-24265	74	22	of	of	ADP
brj-24265	74	23	the	the	DET
brj-24265	74	24	periodic	periodic	ADJ
brj-24265	74	25	marks	mark	NOUN
brj-24265	74	26	were	be	AUX
brj-24265	74	27	measured	measure	VERB
brj-24265	74	28	at	at	ADP
brj-24265	74	29	the	the	DET
brj-24265	74	30	highest	high	ADJ
brj-24265	74	31	10	10	NUM
brj-24265	74	32	intensities	intensity	NOUN
brj-24265	74	33	,	,	PUNCT
brj-24265	74	34	creating	create	VERB
brj-24265	74	35	a	a	DET
brj-24265	74	36	1	1	NUM
brj-24265	74	37	×	×	NOUN
brj-24265	74	38	30	30	NUM
brj-24265	74	39	array	array	NOUN
brj-24265	74	40	from	from	ADP
brj-24265	74	41	each	each	DET
brj-24265	74	42	measurement	measurement	NOUN
brj-24265	74	43	.	.	PUNCT
brj-24265	75	1	however	however	ADV
brj-24265	75	2	,	,	PUNCT
brj-24265	75	3	the	the	DET
brj-24265	75	4	authors	author	NOUN
brj-24265	75	5	noted	note	VERB
brj-24265	75	6	that	that	SCONJ
brj-24265	75	7	the	the	DET
brj-24265	75	8	intensity	intensity	NOUN
brj-24265	75	9	data	datum	NOUN
brj-24265	75	10	varied	varied	ADJ
brj-24265	75	11	for	for	ADP
brj-24265	75	12	each	each	DET
brj-24265	75	13	measurement	measurement	NOUN
brj-24265	75	14	.	.	PUNCT
brj-24265	76	1	for	for	ADP
brj-24265	76	2	this	this	DET
brj-24265	76	3	reason	reason	NOUN
brj-24265	76	4	,	,	PUNCT
brj-24265	76	5	intensity	intensity	NOUN
brj-24265	76	6	values	value	NOUN
brj-24265	76	7	were	be	AUX
brj-24265	76	8	removed	remove	VERB
brj-24265	76	9	from	from	ADP
brj-24265	76	10	the	the	DET
brj-24265	76	11	dataset	dataset	NOUN
brj-24265	76	12	.	.	PUNCT
brj-24265	77	1	the	the	DET
brj-24265	77	2	data	datum	NOUN
brj-24265	77	3	scanned	scan	VERB
brj-24265	77	4	from	from	ADP
brj-24265	77	5	a	a	DET
brj-24265	77	6	single	single	ADJ
brj-24265	77	7	paper	paper	NOUN
brj-24265	77	8	product	product	NOUN
brj-24265	77	9	were	be	AUX
brj-24265	77	10	represented	represent	VERB
brj-24265	77	11	as	as	ADP
brj-24265	77	12	a	a	DET
brj-24265	77	13	50	50	NUM
brj-24265	77	14	(	(	PUNCT
brj-24265	77	15	samples	sample	NOUN
brj-24265	77	16	)	)	PUNCT
brj-24265	77	17	×	×	NOUN
brj-24265	77	18	20	20	NUM
brj-24265	77	19	(	(	PUNCT
brj-24265	77	20	variables	variable	NOUN
brj-24265	77	21	)	)	PUNCT
brj-24265	77	22	matrix	matrix	NOUN
brj-24265	77	23	,	,	PUNCT
brj-24265	77	24	resulting	result	VERB
brj-24265	77	25	in	in	ADP
brj-24265	77	26	600	600	NUM
brj-24265	77	27	(	(	PUNCT
brj-24265	77	28	50	50	NUM
brj-24265	77	29	(	(	PUNCT
brj-24265	77	30	samples	sample	NOUN
brj-24265	77	31	)	)	PUNCT
brj-24265	77	32	×	×	NOUN
brj-24265	77	33	12	12	NUM
brj-24265	77	34	(	(	PUNCT
brj-24265	77	35	products	product	NOUN
brj-24265	77	36	)	)	PUNCT
brj-24265	77	37	)	)	PUNCT
brj-24265	77	38	data	data	NOUN
brj-24265	77	39	points	point	NOUN
brj-24265	77	40	.	.	PUNCT
brj-24265	78	1	data	datum	NOUN
brj-24265	78	2	preprocessing	preprocesse	VERB
brj-24265	78	3	angles	angle	NOUN
brj-24265	78	4	can	can	AUX
brj-24265	78	5	be	be	AUX
brj-24265	78	6	considered	consider	VERB
brj-24265	78	7	symmetric	symmetric	ADJ
brj-24265	78	8	within	within	ADP
brj-24265	78	9	the	the	DET
brj-24265	78	10	same	same	ADJ
brj-24265	78	11	step	step	NOUN
brj-24265	78	12	(	(	PUNCT
brj-24265	78	13	e.g.	e.g.	ADV
brj-24265	78	14	,	,	PUNCT
brj-24265	78	15	60	60	NUM
brj-24265	78	16	°	°	NUM
brj-24265	78	17	and	and	CCONJ
brj-24265	78	18	240	240	NUM
brj-24265	78	19	°	°	NUM
brj-24265	78	20	)	)	PUNCT
brj-24265	78	21	,	,	PUNCT
brj-24265	78	22	and	and	CCONJ
brj-24265	78	23	they	they	PRON
brj-24265	78	24	are	be	AUX
brj-24265	78	25	treated	treat	VERB
brj-24265	78	26	as	as	ADP
brj-24265	78	27	equivalent	equivalent	ADJ
brj-24265	78	28	.	.	PUNCT
brj-24265	79	1	therefore	therefore	ADV
brj-24265	79	2	,	,	PUNCT
brj-24265	79	3	all	all	DET
brj-24265	79	4	angle	angle	NOUN
brj-24265	79	5	data	datum	NOUN
brj-24265	79	6	were	be	AUX
brj-24265	79	7	converted	convert	VERB
brj-24265	79	8	by	by	ADP
brj-24265	79	9	modulo	modulo	NOUN
brj-24265	79	10	180	180	NUM
brj-24265	79	11	transformation	transformation	NOUN
brj-24265	79	12	,	,	PUNCT
brj-24265	79	13	as	as	SCONJ
brj-24265	79	14	defined	define	VERB
brj-24265	79	15	in	in	ADP
brj-24265	79	16	eq	eq	ADJ
brj-24265	79	17	.	.	PROPN
brj-24265	79	18	1	1	NUM
brj-24265	79	19	.	.	PUNCT
brj-24265	79	20	𝜃′	𝜃′	PUNCT
brj-24265	80	1	=	=	PUNCT
brj-24265	80	2	𝜃	𝜃	NUM
brj-24265	80	3	𝑚𝑜𝑑	𝑚𝑜𝑑	NOUN
brj-24265	80	4	180	180	NUM
brj-24265	80	5	(	(	PUNCT
brj-24265	80	6	1	1	NUM
brj-24265	80	7	)	)	PUNCT
brj-24265	80	8	the	the	DET
brj-24265	80	9	usefulness	usefulness	NOUN
brj-24265	80	10	of	of	ADP
brj-24265	80	11	such	such	ADJ
brj-24265	80	12	angular	angular	ADJ
brj-24265	80	13	transformations	transformation	NOUN
brj-24265	80	14	for	for	ADP
brj-24265	80	15	capturing	capture	VERB
brj-24265	80	16	the	the	DET
brj-24265	80	17	directional	directional	ADJ
brj-24265	80	18	characteristics	characteristic	NOUN
brj-24265	80	19	of	of	ADP
brj-24265	80	20	periodic	periodic	ADJ
brj-24265	80	21	marks	mark	NOUN
brj-24265	80	22	has	have	AUX
brj-24265	80	23	already	already	ADV
brj-24265	80	24	been	be	AUX
brj-24265	80	25	demonstrated	demonstrate	VERB
brj-24265	80	26	in	in	ADP
brj-24265	80	27	prior	prior	ADJ
brj-24265	80	28	studies	study	NOUN
brj-24265	80	29	(	(	PUNCT
brj-24265	80	30	jeong	jeong	PROPN
brj-24265	80	31	et	et	PROPN
brj-24265	80	32	al	al	PROPN
brj-24265	80	33	.	.	PROPN
brj-24265	80	34	2024a	2024a	NUM
brj-24265	80	35	,	,	PUNCT
brj-24265	80	36	b	b	NOUN
brj-24265	80	37	;	;	PUNCT
brj-24265	80	38	lee	lee	PROPN
brj-24265	80	39	et	et	PROPN
brj-24265	80	40	al	al	PROPN
brj-24265	80	41	.	.	PROPN
brj-24265	80	42	2024c	2024c	NUM
brj-24265	80	43	)	)	PUNCT
brj-24265	80	44	,	,	PUNCT
brj-24265	80	45	where	where	SCONJ
brj-24265	80	46	the	the	DET
brj-24265	80	47	absolute	absolute	ADJ
brj-24265	80	48	value	value	NOUN
brj-24265	80	49	of	of	ADP
brj-24265	80	50	the	the	DET
brj-24265	80	51	sine	sine	ADJ
brj-24265	80	52	function	function	NOUN
brj-24265	80	53	,	,	PUNCT
brj-24265	80	54	sin	sin	NOUN
brj-24265	80	55	𝜃	𝜃	PROPN
brj-24265	80	56	,	,	PUNCT
brj-24265	80	57	was	be	AUX
brj-24265	80	58	used	use	VERB
brj-24265	80	59	to	to	PART
brj-24265	80	60	account	account	VERB
brj-24265	80	61	for	for	ADP
brj-24265	80	62	symmetry	symmetry	NOUN
brj-24265	80	63	.	.	PUNCT
brj-24265	81	1	peer	peer	NOUN
brj-24265	81	2	-	-	PUNCT
brj-24265	81	3	reviewed	review	VERB
brj-24265	81	4	article	article	NOUN
brj-24265	81	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24265	81	6	lee	lee	PROPN
brj-24265	81	7	et	et	PROPN
brj-24265	81	8	al	al	PROPN
brj-24265	81	9	.	.	PROPN
brj-24265	82	1	(	(	PUNCT
brj-24265	82	2	2025	2025	NUM
brj-24265	82	3	)	)	PUNCT
brj-24265	82	4	.	.	PUNCT
brj-24265	83	1	“	"	PUNCT
brj-24265	83	2	wire	wire	NOUN
brj-24265	83	3	-	-	PUNCT
brj-24265	83	4	mark	mark	NOUN
brj-24265	83	5	analysis	analysis	NOUN
brj-24265	83	6	of	of	ADP
brj-24265	83	7	paper	paper	NOUN
brj-24265	83	8	,	,	PUNCT
brj-24265	83	9	”	"	PUNCT
brj-24265	83	10	bioresources	bioresource	VERB
brj-24265	83	11	20(4	20(4	NOUN
brj-24265	83	12	)	)	PUNCT
brj-24265	83	13	,	,	PUNCT
brj-24265	83	14	9208	9208	NUM
brj-24265	83	15	-	-	SYM
brj-24265	83	16	9225	9225	NUM
brj-24265	83	17	.	.	PUNCT
brj-24265	84	1	9212	9212	NUM
brj-24265	84	2	pca	pca	PROPN
brj-24265	84	3	of	of	ADP
brj-24265	84	4	step	step	NOUN
brj-24265	84	5	and	and	CCONJ
brj-24265	84	6	angle	angle	NOUN
brj-24265	84	7	data	datum	NOUN
brj-24265	84	8	principal	principal	NOUN
brj-24265	84	9	component	component	NOUN
brj-24265	84	10	analysis	analysis	NOUN
brj-24265	84	11	(	(	PUNCT
brj-24265	84	12	pca	pca	NOUN
brj-24265	84	13	)	)	PUNCT
brj-24265	84	14	was	be	AUX
brj-24265	84	15	performed	perform	VERB
brj-24265	84	16	to	to	PART
brj-24265	84	17	reveal	reveal	VERB
brj-24265	84	18	the	the	DET
brj-24265	84	19	inherent	inherent	ADJ
brj-24265	84	20	patterns	pattern	NOUN
brj-24265	84	21	and	and	CCONJ
brj-24265	84	22	hidden	hidden	ADJ
brj-24265	84	23	features	feature	NOUN
brj-24265	84	24	in	in	ADP
brj-24265	84	25	the	the	DET
brj-24265	84	26	high	high	ADV
brj-24265	84	27	-	-	PUNCT
brj-24265	84	28	dimensional	dimensional	ADJ
brj-24265	84	29	dataset	dataset	NOUN
brj-24265	84	30	.	.	PUNCT
brj-24265	85	1	the	the	DET
brj-24265	85	2	step	step	NOUN
brj-24265	85	3	and	and	CCONJ
brj-24265	85	4	angle	angle	NOUN
brj-24265	85	5	data	datum	NOUN
brj-24265	85	6	of	of	ADP
brj-24265	85	7	the	the	DET
brj-24265	85	8	periodic	periodic	ADJ
brj-24265	85	9	marks	mark	NOUN
brj-24265	85	10	on	on	ADP
brj-24265	85	11	the	the	DET
brj-24265	85	12	paper	paper	NOUN
brj-24265	85	13	comprised	comprise	VERB
brj-24265	85	14	20	20	NUM
brj-24265	85	15	-	-	PUNCT
brj-24265	85	16	dimensional	dimensional	ADJ
brj-24265	85	17	data	datum	NOUN
brj-24265	85	18	.	.	PUNCT
brj-24265	86	1	the	the	DET
brj-24265	86	2	20	20	NUM
brj-24265	86	3	-	-	PUNCT
brj-24265	86	4	dimensional	dimensional	ADJ
brj-24265	86	5	data	datum	NOUN
brj-24265	86	6	were	be	AUX
brj-24265	86	7	projected	project	VERB
brj-24265	86	8	onto	onto	ADP
brj-24265	86	9	a	a	DET
brj-24265	86	10	new	new	ADJ
brj-24265	86	11	seven	seven	NUM
brj-24265	86	12	-	-	PUNCT
brj-24265	86	13	dimensional	dimensional	ADJ
brj-24265	86	14	orthogonal	orthogonal	ADJ
brj-24265	86	15	space	space	NOUN
brj-24265	86	16	.	.	PUNCT
brj-24265	87	1	finally	finally	ADV
brj-24265	87	2	,	,	PUNCT
brj-24265	87	3	the	the	DET
brj-24265	87	4	data	data	NOUN
brj-24265	87	5	structure	structure	NOUN
brj-24265	87	6	was	be	AUX
brj-24265	87	7	visualized	visualize	VERB
brj-24265	87	8	in	in	ADP
brj-24265	87	9	2d	2d	NUM
brj-24265	87	10	space	space	NOUN
brj-24265	87	11	.	.	PUNCT
brj-24265	88	1	the	the	DET
brj-24265	88	2	usefulness	usefulness	NOUN
brj-24265	88	3	of	of	ADP
brj-24265	88	4	pca	pca	NOUN
brj-24265	88	5	based	base	VERB
brj-24265	88	6	on	on	ADP
brj-24265	88	7	features	feature	NOUN
brj-24265	88	8	of	of	ADP
brj-24265	88	9	periodic	periodic	ADJ
brj-24265	88	10	marks	mark	NOUN
brj-24265	88	11	on	on	ADP
brj-24265	88	12	paper	paper	NOUN
brj-24265	88	13	was	be	AUX
brj-24265	88	14	demonstrated	demonstrate	VERB
brj-24265	88	15	in	in	ADP
brj-24265	88	16	our	our	PRON
brj-24265	88	17	previous	previous	ADJ
brj-24265	88	18	research	research	NOUN
brj-24265	88	19	(	(	PUNCT
brj-24265	88	20	lee	lee	PROPN
brj-24265	88	21	et	et	PROPN
brj-24265	88	22	al	al	PROPN
brj-24265	88	23	.	.	PROPN
brj-24265	88	24	2025b	2025b	NUM
brj-24265	88	25	)	)	PUNCT
brj-24265	88	26	.	.	PUNCT
brj-24265	89	1	however	however	ADV
brj-24265	89	2	,	,	PUNCT
brj-24265	89	3	that	that	DET
brj-24265	89	4	study	study	NOUN
brj-24265	89	5	relied	rely	VERB
brj-24265	89	6	on	on	ADP
brj-24265	89	7	intensity	intensity	NOUN
brj-24265	89	8	data	datum	NOUN
brj-24265	89	9	,	,	PUNCT
brj-24265	89	10	which	which	PRON
brj-24265	89	11	can	can	AUX
brj-24265	89	12	be	be	AUX
brj-24265	89	13	variable	variable	ADJ
brj-24265	89	14	,	,	PUNCT
brj-24265	89	15	to	to	PART
brj-24265	89	16	differentiate	differentiate	VERB
brj-24265	89	17	the	the	DET
brj-24265	89	18	paper	paper	NOUN
brj-24265	89	19	origin	origin	NOUN
brj-24265	89	20	.	.	PUNCT
brj-24265	90	1	before	before	ADP
brj-24265	90	2	performing	perform	VERB
brj-24265	90	3	pca	pca	PROPN
brj-24265	90	4	,	,	PUNCT
brj-24265	90	5	the	the	DET
brj-24265	90	6	step	step	NOUN
brj-24265	90	7	and	and	CCONJ
brj-24265	90	8	angle	angle	NOUN
brj-24265	90	9	data	datum	NOUN
brj-24265	90	10	were	be	AUX
brj-24265	90	11	standardized	standardize	VERB
brj-24265	90	12	using	use	VERB
brj-24265	90	13	z	z	NOUN
brj-24265	90	14	-	-	PUNCT
brj-24265	90	15	score	score	NOUN
brj-24265	90	16	normalization	normalization	NOUN
brj-24265	90	17	to	to	PART
brj-24265	90	18	scale	scale	VERB
brj-24265	90	19	each	each	DET
brj-24265	90	20	variable	variable	NOUN
brj-24265	90	21	to	to	PART
brj-24265	90	22	have	have	VERB
brj-24265	90	23	a	a	DET
brj-24265	90	24	mean	mean	NOUN
brj-24265	90	25	of	of	ADP
brj-24265	90	26	0	0	NUM
brj-24265	90	27	and	and	CCONJ
brj-24265	90	28	a	a	DET
brj-24265	90	29	variance	variance	NOUN
brj-24265	90	30	of	of	ADP
brj-24265	90	31	1	1	NUM
brj-24265	90	32	.	.	PUNCT
brj-24265	91	1	the	the	DET
brj-24265	91	2	scaled	scale	VERB
brj-24265	91	3	value	value	NOUN
brj-24265	91	4	𝑍𝑖	𝑍𝑖	PROPN
brj-24265	91	5	is	be	AUX
brj-24265	91	6	defined	define	VERB
brj-24265	91	7	as	as	ADP
brj-24265	91	8	in	in	ADP
brj-24265	91	9	eq	eq	NOUN
brj-24265	91	10	.	.	PROPN
brj-24265	91	11	2	2	NUM
brj-24265	91	12	,	,	PUNCT
brj-24265	91	13	𝑍𝑖	𝑍𝑖	PROPN
brj-24265	91	14	=	=	SYM
brj-24265	91	15	𝑥𝑖−𝜇	𝑥𝑖−𝜇	NOUN
brj-24265	91	16	𝜎	𝜎	NOUN
brj-24265	91	17	(	(	PUNCT
brj-24265	91	18	2	2	NUM
brj-24265	91	19	)	)	PUNCT
brj-24265	91	20	where	where	SCONJ
brj-24265	91	21	𝑥𝑖	𝑥𝑖	PROPN
brj-24265	91	22	denotes	denote	VERB
brj-24265	91	23	each	each	DET
brj-24265	91	24	observation	observation	NOUN
brj-24265	91	25	of	of	ADP
brj-24265	91	26	a	a	DET
brj-24265	91	27	variable	variable	ADJ
brj-24265	91	28	𝑥	𝑥	NOUN
brj-24265	91	29	,	,	PUNCT
brj-24265	91	30	μ	μ	PROPN
brj-24265	91	31	denotes	denote	VERB
brj-24265	91	32	the	the	DET
brj-24265	91	33	mean	mean	NOUN
brj-24265	91	34	of	of	ADP
brj-24265	91	35	the	the	DET
brj-24265	91	36	variable	variable	ADJ
brj-24265	91	37	𝑥	𝑥	NOUN
brj-24265	91	38	,	,	PUNCT
brj-24265	91	39	and	and	CCONJ
brj-24265	91	40	𝜎	𝜎	PROPN
brj-24265	91	41	denotes	denote	VERB
brj-24265	91	42	the	the	DET
brj-24265	91	43	standard	standard	ADJ
brj-24265	91	44	deviation	deviation	NOUN
brj-24265	91	45	of	of	ADP
brj-24265	91	46	the	the	DET
brj-24265	91	47	variable	variable	ADJ
brj-24265	91	48	𝑥.	𝑥.	NOUN
brj-24265	91	49	outlier	outlier	NOUN
brj-24265	91	50	detection	detection	NOUN
brj-24265	91	51	in	in	ADP
brj-24265	91	52	dataset	dataset	NOUN
brj-24265	91	53	using	use	VERB
brj-24265	91	54	dbscan	dbscan	NOUN
brj-24265	91	55	the	the	DET
brj-24265	91	56	density	density	NOUN
brj-24265	91	57	-	-	PUNCT
brj-24265	91	58	based	base	VERB
brj-24265	91	59	spatial	spatial	ADJ
brj-24265	91	60	clustering	clustering	NOUN
brj-24265	91	61	of	of	ADP
brj-24265	91	62	applications	application	NOUN
brj-24265	91	63	with	with	ADP
brj-24265	91	64	noise	noise	NOUN
brj-24265	91	65	(	(	PUNCT
brj-24265	91	66	dbscan	dbscan	NOUN
brj-24265	91	67	)	)	PUNCT
brj-24265	91	68	algorithm	algorithm	NOUN
brj-24265	91	69	was	be	AUX
brj-24265	91	70	used	use	VERB
brj-24265	91	71	to	to	PART
brj-24265	91	72	detect	detect	VERB
brj-24265	91	73	outliers	outlier	NOUN
brj-24265	91	74	in	in	ADP
brj-24265	91	75	the	the	DET
brj-24265	91	76	dataset	dataset	NOUN
brj-24265	91	77	(	(	PUNCT
brj-24265	91	78	ester	ester	NOUN
brj-24265	91	79	et	et	PROPN
brj-24265	91	80	al	al	PROPN
brj-24265	91	81	.	.	PROPN
brj-24265	91	82	1996	1996	NUM
brj-24265	91	83	;	;	PUNCT
brj-24265	92	1	campello	campello	PROPN
brj-24265	92	2	et	et	PROPN
brj-24265	92	3	al	al	PROPN
brj-24265	92	4	.	.	PROPN
brj-24265	92	5	2013	2013	NUM
brj-24265	92	6	)	)	PUNCT
brj-24265	92	7	,	,	PUNCT
brj-24265	92	8	which	which	PRON
brj-24265	92	9	were	be	AUX
brj-24265	92	10	projected	project	VERB
brj-24265	92	11	onto	onto	ADP
brj-24265	92	12	the	the	DET
brj-24265	92	13	orthogonal	orthogonal	ADJ
brj-24265	92	14	coordinate	coordinate	NOUN
brj-24265	92	15	system	system	NOUN
brj-24265	92	16	of	of	ADP
brj-24265	92	17	principal	principal	ADJ
brj-24265	92	18	components	component	NOUN
brj-24265	92	19	(	(	PUNCT
brj-24265	92	20	pcs	pc	NOUN
brj-24265	92	21	)	)	PUNCT
brj-24265	92	22	.	.	PUNCT
brj-24265	93	1	the	the	DET
brj-24265	93	2	dbscan	dbscan	PROPN
brj-24265	93	3	parameters	parameter	NOUN
brj-24265	93	4	epsilon	epsilon	PROPN
brj-24265	93	5	(	(	PUNCT
brj-24265	93	6	eps	eps	PROPN
brj-24265	93	7	)	)	PUNCT
brj-24265	93	8	and	and	CCONJ
brj-24265	93	9	minimum	minimum	NOUN
brj-24265	93	10	points	point	NOUN
brj-24265	93	11	(	(	PUNCT
brj-24265	93	12	minpts	minpt	NOUN
brj-24265	93	13	)	)	PUNCT
brj-24265	93	14	were	be	AUX
brj-24265	93	15	empirically	empirically	ADV
brj-24265	93	16	set	set	VERB
brj-24265	93	17	to	to	ADP
brj-24265	93	18	5.0	5.0	NUM
brj-24265	93	19	and	and	CCONJ
brj-24265	93	20	7	7	NUM
brj-24265	93	21	,	,	PUNCT
brj-24265	93	22	respectively	respectively	ADV
brj-24265	93	23	.	.	PUNCT
brj-24265	94	1	here	here	ADV
brj-24265	94	2	,	,	PUNCT
brj-24265	94	3	“	"	PUNCT
brj-24265	94	4	eps	eps	PROPN
brj-24265	94	5	”	"	PUNCT
brj-24265	94	6	represents	represent	VERB
brj-24265	94	7	the	the	DET
brj-24265	94	8	radius	radius	NOUN
brj-24265	94	9	within	within	ADP
brj-24265	94	10	which	which	PRON
brj-24265	94	11	neighboring	neighboring	NOUN
brj-24265	94	12	data	data	NOUN
brj-24265	94	13	points	point	NOUN
brj-24265	94	14	exert	exert	VERB
brj-24265	94	15	mutual	mutual	ADJ
brj-24265	94	16	influence	influence	NOUN
brj-24265	94	17	,	,	PUNCT
brj-24265	94	18	and	and	CCONJ
brj-24265	94	19	“	"	PUNCT
brj-24265	94	20	minpts	minpt	NOUN
brj-24265	94	21	”	"	PUNCT
brj-24265	94	22	specifies	specifie	NOUN
brj-24265	94	23	the	the	DET
brj-24265	94	24	minimum	minimum	ADJ
brj-24265	94	25	number	number	NOUN
brj-24265	94	26	of	of	ADP
brj-24265	94	27	data	datum	NOUN
brj-24265	94	28	points	point	NOUN
brj-24265	94	29	required	require	VERB
brj-24265	94	30	to	to	PART
brj-24265	94	31	form	form	VERB
brj-24265	94	32	a	a	DET
brj-24265	94	33	cluster	cluster	NOUN
brj-24265	94	34	.	.	PUNCT
brj-24265	95	1	a	a	DET
brj-24265	95	2	cluster	cluster	NOUN
brj-24265	95	3	was	be	AUX
brj-24265	95	4	established	establish	VERB
brj-24265	95	5	when	when	SCONJ
brj-24265	95	6	at	at	ADV
brj-24265	95	7	least	least	ADV
brj-24265	95	8	seven	seven	NUM
brj-24265	95	9	consecutive	consecutive	ADJ
brj-24265	95	10	points	point	NOUN
brj-24265	95	11	were	be	AUX
brj-24265	95	12	found	find	VERB
brj-24265	95	13	within	within	ADP
brj-24265	95	14	a	a	DET
brj-24265	95	15	distance	distance	NOUN
brj-24265	95	16	of	of	ADP
brj-24265	95	17	5.0	5.0	NUM
brj-24265	95	18	from	from	ADP
brj-24265	95	19	a	a	DET
brj-24265	95	20	given	give	VERB
brj-24265	95	21	data	data	NOUN
brj-24265	95	22	point	point	NOUN
brj-24265	95	23	.	.	PUNCT
brj-24265	96	1	the	the	DET
brj-24265	96	2	detected	detect	VERB
brj-24265	96	3	outliers	outlier	NOUN
brj-24265	96	4	were	be	AUX
brj-24265	96	5	removed	remove	VERB
brj-24265	96	6	from	from	ADP
brj-24265	96	7	the	the	DET
brj-24265	96	8	dataset	dataset	NOUN
brj-24265	96	9	,	,	PUNCT
brj-24265	96	10	and	and	CCONJ
brj-24265	96	11	the	the	DET
brj-24265	96	12	classification	classification	NOUN
brj-24265	96	13	model	model	NOUN
brj-24265	96	14	was	be	AUX
brj-24265	96	15	then	then	ADV
brj-24265	96	16	trained	train	VERB
brj-24265	96	17	on	on	ADP
brj-24265	96	18	the	the	DET
brj-24265	96	19	imbalanced	imbalanced	ADJ
brj-24265	96	20	dataset	dataset	NOUN
brj-24265	96	21	.	.	PUNCT
brj-24265	97	1	classification	classification	NOUN
brj-24265	97	2	models	model	NOUN
brj-24265	97	3	for	for	ADP
brj-24265	97	4	forensic	forensic	ADJ
brj-24265	97	5	document	document	NOUN
brj-24265	97	6	dating	date	VERB
brj-24265	97	7	for	for	ADP
brj-24265	97	8	the	the	DET
brj-24265	97	9	classification	classification	NOUN
brj-24265	97	10	modeling	modeling	NOUN
brj-24265	97	11	of	of	ADP
brj-24265	97	12	forensic	forensic	ADJ
brj-24265	97	13	document	document	NOUN
brj-24265	97	14	dating	dating	NOUN
brj-24265	97	15	,	,	PUNCT
brj-24265	97	16	tree	tree	NOUN
brj-24265	97	17	-	-	PUNCT
brj-24265	97	18	based	base	VERB
brj-24265	97	19	models	model	NOUN
brj-24265	97	20	were	be	AUX
brj-24265	97	21	employed	employ	VERB
brj-24265	97	22	.	.	PUNCT
brj-24265	98	1	tree	tree	NOUN
brj-24265	98	2	-	-	PUNCT
brj-24265	98	3	based	base	VERB
brj-24265	98	4	models	model	NOUN
brj-24265	98	5	are	be	AUX
brj-24265	98	6	widely	widely	ADV
brj-24265	98	7	recognized	recognize	VERB
brj-24265	98	8	for	for	ADP
brj-24265	98	9	providing	provide	VERB
brj-24265	98	10	a	a	DET
brj-24265	98	11	robust	robust	ADJ
brj-24265	98	12	framework	framework	NOUN
brj-24265	98	13	for	for	ADP
brj-24265	98	14	decision	decision	NOUN
brj-24265	98	15	-	-	PUNCT
brj-24265	98	16	making	make	VERB
brj-24265	98	17	processes	process	NOUN
brj-24265	98	18	.	.	PUNCT
brj-24265	99	1	in	in	ADP
brj-24265	99	2	this	this	DET
brj-24265	99	3	study	study	NOUN
brj-24265	99	4	,	,	PUNCT
brj-24265	99	5	two	two	NUM
brj-24265	99	6	representative	representative	ADJ
brj-24265	99	7	ensemble	ensemble	ADJ
brj-24265	99	8	methods	method	NOUN
brj-24265	99	9	—	—	PUNCT
brj-24265	99	10	random	random	ADJ
brj-24265	99	11	forest	forest	NOUN
brj-24265	99	12	(	(	PUNCT
brj-24265	99	13	rf	rf	NOUN
brj-24265	99	14	)	)	PUNCT
brj-24265	99	15	and	and	CCONJ
brj-24265	99	16	extreme	extreme	ADJ
brj-24265	99	17	gradient	gradient	NOUN
brj-24265	99	18	boosting	boost	VERB
brj-24265	99	19	(	(	PUNCT
brj-24265	99	20	xgboost)—were	xgboost)—were	NOUN
brj-24265	99	21	constructed	construct	VERB
brj-24265	99	22	,	,	PUNCT
brj-24265	99	23	both	both	PRON
brj-24265	99	24	of	of	ADP
brj-24265	99	25	which	which	PRON
brj-24265	99	26	utilize	utilize	VERB
brj-24265	99	27	decision	decision	NOUN
brj-24265	99	28	trees	tree	NOUN
brj-24265	99	29	(	(	PUNCT
brj-24265	99	30	dts	dts	NOUN
brj-24265	99	31	)	)	PUNCT
brj-24265	99	32	as	as	ADP
brj-24265	99	33	base	base	NOUN
brj-24265	99	34	learners	learner	NOUN
brj-24265	99	35	.	.	PUNCT
brj-24265	100	1	all	all	DET
brj-24265	100	2	data	datum	NOUN
brj-24265	100	3	processing	processing	NOUN
brj-24265	100	4	and	and	CCONJ
brj-24265	100	5	classification	classification	NOUN
brj-24265	100	6	were	be	AUX
brj-24265	100	7	carried	carry	VERB
brj-24265	100	8	out	out	ADP
brj-24265	100	9	in	in	ADP
brj-24265	100	10	r	r	NOUN
brj-24265	100	11	(	(	PUNCT
brj-24265	100	12	r	r	NOUN
brj-24265	100	13	core	core	NOUN
brj-24265	100	14	team	team	NOUN
brj-24265	100	15	2023	2023	NUM
brj-24265	100	16	,	,	PUNCT
brj-24265	100	17	version	version	NOUN
brj-24265	100	18	4.5.0	4.5.0	NUM
brj-24265	100	19	,	,	PUNCT
brj-24265	100	20	auckland	auckland	PROPN
brj-24265	100	21	,	,	PUNCT
brj-24265	100	22	new	new	PROPN
brj-24265	100	23	zealand	zealand	PROPN
brj-24265	100	24	)	)	PUNCT
brj-24265	100	25	.	.	PUNCT
brj-24265	101	1	dataset	dataset	NOUN
brj-24265	101	2	splitting	split	VERB
brj-24265	101	3	the	the	DET
brj-24265	101	4	dataset	dataset	NOUN
brj-24265	101	5	was	be	AUX
brj-24265	101	6	divided	divide	VERB
brj-24265	101	7	into	into	ADP
brj-24265	101	8	training	training	NOUN
brj-24265	101	9	and	and	CCONJ
brj-24265	101	10	test	test	NOUN
brj-24265	101	11	sets	set	NOUN
brj-24265	101	12	at	at	ADP
brj-24265	101	13	a	a	DET
brj-24265	101	14	ratio	ratio	NOUN
brj-24265	101	15	of	of	ADP
brj-24265	101	16	7:3	7:3	NUM
brj-24265	101	17	for	for	ADP
brj-24265	101	18	training	training	NOUN
brj-24265	101	19	and	and	CCONJ
brj-24265	101	20	evaluation	evaluation	NOUN
brj-24265	101	21	of	of	ADP
brj-24265	101	22	the	the	DET
brj-24265	101	23	classification	classification	NOUN
brj-24265	101	24	models	model	NOUN
brj-24265	101	25	to	to	PART
brj-24265	101	26	be	be	AUX
brj-24265	101	27	compared	compare	VERB
brj-24265	101	28	.	.	PUNCT
brj-24265	102	1	stratified	stratify	VERB
brj-24265	102	2	random	random	ADJ
brj-24265	102	3	sampling	sampling	NOUN
brj-24265	102	4	was	be	AUX
brj-24265	102	5	used	use	VERB
brj-24265	102	6	to	to	PART
brj-24265	102	7	ensure	ensure	VERB
brj-24265	102	8	that	that	SCONJ
brj-24265	102	9	the	the	DET
brj-24265	102	10	split	split	NOUN
brj-24265	102	11	ratio	ratio	NOUN
brj-24265	102	12	was	be	AUX
brj-24265	102	13	maintained	maintain	VERB
brj-24265	102	14	across	across	ADP
brj-24265	102	15	all	all	DET
brj-24265	102	16	classes	class	NOUN
brj-24265	102	17	.	.	PUNCT
brj-24265	103	1	decision	decision	NOUN
brj-24265	103	2	tree	tree	NOUN
brj-24265	103	3	(	(	PUNCT
brj-24265	103	4	dt	dt	NOUN
brj-24265	103	5	)	)	PUNCT
brj-24265	103	6	single	single	ADJ
brj-24265	103	7	dts	dts	NOUN
brj-24265	103	8	(	(	PUNCT
brj-24265	103	9	breiman	breiman	NOUN
brj-24265	103	10	2017	2017	NUM
brj-24265	103	11	)	)	PUNCT
brj-24265	103	12	were	be	AUX
brj-24265	103	13	tested	test	VERB
brj-24265	103	14	to	to	PART
brj-24265	103	15	compare	compare	VERB
brj-24265	103	16	their	their	PRON
brj-24265	103	17	classification	classification	NOUN
brj-24265	103	18	performance	performance	NOUN
brj-24265	103	19	with	with	ADP
brj-24265	103	20	that	that	PRON
brj-24265	103	21	of	of	ADP
brj-24265	103	22	the	the	DET
brj-24265	103	23	rf	rf	ADJ
brj-24265	103	24	model	model	NOUN
brj-24265	103	25	,	,	PUNCT
brj-24265	103	26	which	which	PRON
brj-24265	103	27	is	be	AUX
brj-24265	103	28	an	an	DET
brj-24265	103	29	ensemble	ensemble	ADJ
brj-24265	103	30	learning	learning	NOUN
brj-24265	103	31	method	method	NOUN
brj-24265	103	32	.	.	PUNCT
brj-24265	104	1	to	to	PART
brj-24265	104	2	optimize	optimize	VERB
brj-24265	104	3	the	the	DET
brj-24265	104	4	dt	dt	PROPN
brj-24265	104	5	model	model	NOUN
brj-24265	104	6	,	,	PUNCT
brj-24265	104	7	the	the	DET
brj-24265	104	8	complexity	complexity	NOUN
brj-24265	104	9	parameter	parameter	NOUN
brj-24265	104	10	(	(	PUNCT
brj-24265	104	11	cp	cp	NOUN
brj-24265	104	12	)	)	PUNCT
brj-24265	104	13	,	,	PUNCT
brj-24265	104	14	which	which	PRON
brj-24265	104	15	controls	control	VERB
brj-24265	104	16	the	the	DET
brj-24265	104	17	tree	tree	NOUN
brj-24265	104	18	size	size	NOUN
brj-24265	104	19	and	and	CCONJ
brj-24265	104	20	complexity	complexity	NOUN
brj-24265	104	21	,	,	PUNCT
brj-24265	104	22	was	be	AUX
brj-24265	104	23	carefully	carefully	ADV
brj-24265	104	24	tuned	tune	VERB
brj-24265	104	25	.	.	PUNCT
brj-24265	105	1	a	a	DET
brj-24265	105	2	grid	grid	NOUN
brj-24265	105	3	search	search	NOUN
brj-24265	105	4	within	within	ADP
brj-24265	105	5	the	the	DET
brj-24265	105	6	range	range	NOUN
brj-24265	105	7	of	of	ADP
brj-24265	105	8	0.001	0.001	NUM
brj-24265	105	9	to	to	PART
brj-24265	105	10	0.1	0.1	NUM
brj-24265	105	11	was	be	AUX
brj-24265	105	12	performed	perform	VERB
brj-24265	105	13	to	to	PART
brj-24265	105	14	identify	identify	VERB
brj-24265	105	15	the	the	DET
brj-24265	105	16	optimal	optimal	ADJ
brj-24265	105	17	cp	cp	NOUN
brj-24265	105	18	value	value	NOUN
brj-24265	105	19	,	,	PUNCT
brj-24265	105	20	thereby	thereby	ADV
brj-24265	105	21	balancing	balance	VERB
brj-24265	105	22	model	model	NOUN
brj-24265	105	23	accuracy	accuracy	NOUN
brj-24265	105	24	and	and	CCONJ
brj-24265	105	25	preventing	prevent	VERB
brj-24265	105	26	overfitting	overfitting	NOUN
brj-24265	105	27	.	.	PUNCT
brj-24265	106	1	the	the	DET
brj-24265	106	2	peer	peer	NOUN
brj-24265	106	3	-	-	PUNCT
brj-24265	106	4	reviewed	review	VERB
brj-24265	106	5	article	article	NOUN
brj-24265	106	6	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24265	106	7	lee	lee	PROPN
brj-24265	106	8	et	et	PROPN
brj-24265	106	9	al	al	PROPN
brj-24265	106	10	.	.	PROPN
brj-24265	107	1	(	(	PUNCT
brj-24265	107	2	2025	2025	NUM
brj-24265	107	3	)	)	PUNCT
brj-24265	107	4	.	.	PUNCT
brj-24265	108	1	“	"	PUNCT
brj-24265	108	2	wire	wire	NOUN
brj-24265	108	3	-	-	PUNCT
brj-24265	108	4	mark	mark	NOUN
brj-24265	108	5	analysis	analysis	NOUN
brj-24265	108	6	of	of	ADP
brj-24265	108	7	paper	paper	NOUN
brj-24265	108	8	,	,	PUNCT
brj-24265	108	9	”	"	PUNCT
brj-24265	108	10	bioresources	bioresource	VERB
brj-24265	108	11	20(4	20(4	NOUN
brj-24265	108	12	)	)	PUNCT
brj-24265	108	13	,	,	PUNCT
brj-24265	108	14	9208	9208	NUM
brj-24265	108	15	-	-	SYM
brj-24265	108	16	9225	9225	NUM
brj-24265	108	17	.	.	PUNCT
brj-24265	109	1	9213	9213	NUM
brj-24265	109	2	final	final	ADJ
brj-24265	109	3	model	model	NOUN
brj-24265	109	4	was	be	AUX
brj-24265	109	5	selected	select	VERB
brj-24265	109	6	based	base	VERB
brj-24265	109	7	on	on	ADP
brj-24265	109	8	the	the	DET
brj-24265	109	9	cp	cp	PROPN
brj-24265	109	10	value	value	NOUN
brj-24265	109	11	that	that	PRON
brj-24265	109	12	achieved	achieve	VERB
brj-24265	109	13	the	the	DET
brj-24265	109	14	highest	high	ADJ
brj-24265	109	15	performance	performance	NOUN
brj-24265	109	16	in	in	ADP
brj-24265	109	17	a	a	DET
brj-24265	109	18	threefold	threefold	ADJ
brj-24265	109	19	cross	cross	NOUN
brj-24265	109	20	-	-	NOUN
brj-24265	109	21	validation	validation	ADJ
brj-24265	109	22	.	.	PUNCT
brj-24265	110	1	random	random	ADJ
brj-24265	110	2	forest	forest	NOUN
brj-24265	110	3	(	(	PUNCT
brj-24265	110	4	rf	rf	NOUN
brj-24265	110	5	)	)	PUNCT
brj-24265	110	6	the	the	DET
brj-24265	110	7	rf	rf	NOUN
brj-24265	110	8	classifier	classifier	NOUN
brj-24265	110	9	(	(	PUNCT
brj-24265	110	10	breiman	breiman	NOUN
brj-24265	110	11	2001	2001	NUM
brj-24265	110	12	)	)	PUNCT
brj-24265	110	13	,	,	PUNCT
brj-24265	110	14	an	an	DET
brj-24265	110	15	ensemble	ensemble	ADJ
brj-24265	110	16	learning	learning	NOUN
brj-24265	110	17	technique	technique	NOUN
brj-24265	110	18	,	,	PUNCT
brj-24265	110	19	helps	help	VERB
brj-24265	110	20	mitigate	mitigate	VERB
brj-24265	110	21	premature	premature	ADJ
brj-24265	110	22	convergence	convergence	NOUN
brj-24265	110	23	to	to	ADP
brj-24265	110	24	some	some	DET
brj-24265	110	25	extent	extent	NOUN
brj-24265	110	26	.	.	PUNCT
brj-24265	111	1	ensemble	ensemble	ADJ
brj-24265	111	2	learning	learning	NOUN
brj-24265	111	3	combines	combine	VERB
brj-24265	111	4	predictions	prediction	NOUN
brj-24265	111	5	from	from	ADP
brj-24265	111	6	multiple	multiple	ADJ
brj-24265	111	7	models	model	NOUN
brj-24265	111	8	to	to	PART
brj-24265	111	9	improve	improve	VERB
brj-24265	111	10	the	the	DET
brj-24265	111	11	accuracy	accuracy	NOUN
brj-24265	111	12	beyond	beyond	ADP
brj-24265	111	13	that	that	PRON
brj-24265	111	14	achievable	achievable	ADJ
brj-24265	111	15	by	by	ADP
brj-24265	111	16	individual	individual	ADJ
brj-24265	111	17	models	model	NOUN
brj-24265	111	18	.	.	PUNCT
brj-24265	112	1	in	in	ADP
brj-24265	112	2	this	this	DET
brj-24265	112	3	study	study	NOUN
brj-24265	112	4	,	,	PUNCT
brj-24265	112	5	dts	dts	NOUN
brj-24265	112	6	(	(	PUNCT
brj-24265	112	7	breiman	breiman	NOUN
brj-24265	112	8	2017	2017	NUM
brj-24265	112	9	)	)	PUNCT
brj-24265	112	10	were	be	AUX
brj-24265	112	11	employed	employ	VERB
brj-24265	112	12	as	as	ADP
brj-24265	112	13	the	the	DET
brj-24265	112	14	base	base	NOUN
brj-24265	112	15	learners	learner	NOUN
brj-24265	112	16	to	to	PART
brj-24265	112	17	construct	construct	VERB
brj-24265	112	18	the	the	DET
brj-24265	112	19	rf	rf	ADJ
brj-24265	112	20	model	model	NOUN
brj-24265	112	21	.	.	PUNCT
brj-24265	113	1	to	to	PART
brj-24265	113	2	increase	increase	VERB
brj-24265	113	3	the	the	DET
brj-24265	113	4	diversity	diversity	NOUN
brj-24265	113	5	among	among	ADP
brj-24265	113	6	the	the	DET
brj-24265	113	7	dts	dts	NOUN
brj-24265	113	8	,	,	PUNCT
brj-24265	113	9	the	the	DET
brj-24265	113	10	rf	rf	NOUN
brj-24265	113	11	model	model	NOUN
brj-24265	113	12	builds	build	VERB
brj-24265	113	13	them	they	PRON
brj-24265	113	14	through	through	ADP
brj-24265	113	15	random	random	ADJ
brj-24265	113	16	subsampling	subsampling	NOUN
brj-24265	113	17	,	,	PUNCT
brj-24265	113	18	without	without	ADP
brj-24265	113	19	using	use	VERB
brj-24265	113	20	all	all	DET
brj-24265	113	21	input	input	NOUN
brj-24265	113	22	variables	variable	NOUN
brj-24265	113	23	,	,	PUNCT
brj-24265	113	24	to	to	PART
brj-24265	113	25	construct	construct	VERB
brj-24265	113	26	independent	independent	ADJ
brj-24265	113	27	trees	tree	NOUN
brj-24265	113	28	.	.	PUNCT
brj-24265	114	1	furthermore	furthermore	ADV
brj-24265	114	2	,	,	PUNCT
brj-24265	114	3	the	the	DET
brj-24265	114	4	rf	rf	NOUN
brj-24265	114	5	model	model	NOUN
brj-24265	114	6	generates	generate	VERB
brj-24265	114	7	bootstrap	bootstrap	NOUN
brj-24265	114	8	samples	sample	NOUN
brj-24265	114	9	from	from	ADP
brj-24265	114	10	the	the	DET
brj-24265	114	11	training	training	NOUN
brj-24265	114	12	dataset	dataset	VERB
brj-24265	114	13	via	via	ADP
brj-24265	114	14	random	random	ADJ
brj-24265	114	15	sampling	sampling	NOUN
brj-24265	114	16	with	with	ADP
brj-24265	114	17	replacement	replacement	NOUN
brj-24265	114	18	.	.	PUNCT
brj-24265	115	1	in	in	ADP
brj-24265	115	2	this	this	DET
brj-24265	115	3	process	process	NOUN
brj-24265	115	4	,	,	PUNCT
brj-24265	115	5	approximately	approximately	ADV
brj-24265	115	6	two	two	NUM
brj-24265	115	7	-	-	PUNCT
brj-24265	115	8	thirds	third	NOUN
brj-24265	115	9	of	of	ADP
brj-24265	115	10	the	the	DET
brj-24265	115	11	training	training	NOUN
brj-24265	115	12	data	datum	NOUN
brj-24265	115	13	(	(	PUNCT
brj-24265	115	14	in	in	ADP
brj-24265	115	15	-	-	PUNCT
brj-24265	115	16	bag	bag	NOUN
brj-24265	115	17	samples	sample	NOUN
brj-24265	115	18	)	)	PUNCT
brj-24265	115	19	are	be	AUX
brj-24265	115	20	used	use	VERB
brj-24265	115	21	to	to	PART
brj-24265	115	22	train	train	VERB
brj-24265	115	23	the	the	DET
brj-24265	115	24	dts	dt	NOUN
brj-24265	115	25	,	,	PUNCT
brj-24265	115	26	and	and	CCONJ
brj-24265	115	27	the	the	DET
brj-24265	115	28	remaining	remain	VERB
brj-24265	115	29	one	one	NUM
brj-24265	115	30	-	-	PUNCT
brj-24265	115	31	third	third	NOUN
brj-24265	115	32	(	(	PUNCT
brj-24265	115	33	outof	outof	PROPN
brj-24265	115	34	-	-	PUNCT
brj-24265	115	35	bag	bag	NOUN
brj-24265	115	36	(	(	PUNCT
brj-24265	115	37	oob	oob	NOUN
brj-24265	115	38	)	)	PUNCT
brj-24265	115	39	samples	sample	NOUN
brj-24265	115	40	)	)	PUNCT
brj-24265	115	41	are	be	AUX
brj-24265	115	42	used	use	VERB
brj-24265	115	43	to	to	PART
brj-24265	115	44	validate	validate	VERB
brj-24265	115	45	the	the	DET
brj-24265	115	46	rf	rf	ADJ
brj-24265	115	47	model	model	NOUN
brj-24265	115	48	.	.	PUNCT
brj-24265	116	1	the	the	DET
brj-24265	116	2	probability	probability	NOUN
brj-24265	116	3	that	that	SCONJ
brj-24265	116	4	a	a	DET
brj-24265	116	5	sample	sample	NOUN
brj-24265	116	6	is	be	AUX
brj-24265	116	7	not	not	PART
brj-24265	116	8	selected	select	VERB
brj-24265	116	9	from	from	ADP
brj-24265	116	10	a	a	DET
brj-24265	116	11	dataset	dataset	NOUN
brj-24265	116	12	of	of	ADP
brj-24265	116	13	size	size	NOUN
brj-24265	116	14	m	m	VERB
brj-24265	116	15	during	during	ADP
brj-24265	116	16	random	random	ADJ
brj-24265	116	17	sampling	sampling	NOUN
brj-24265	116	18	with	with	ADP
brj-24265	116	19	replacement	replacement	NOUN
brj-24265	116	20	is	be	AUX
brj-24265	116	21	represented	represent	VERB
brj-24265	116	22	by	by	ADP
brj-24265	116	23	(	(	PUNCT
brj-24265	116	24	m−1)/m	m−1)/m	NOUN
brj-24265	116	25	.	.	PUNCT
brj-24265	117	1	when	when	SCONJ
brj-24265	117	2	repeated	repeat	VERB
brj-24265	117	3	m	m	PROPN
brj-24265	117	4	times	time	NOUN
brj-24265	117	5	,	,	PUNCT
brj-24265	117	6	the	the	DET
brj-24265	117	7	oob	oob	NOUN
brj-24265	117	8	probability	probability	NOUN
brj-24265	117	9	approaches	approach	VERB
brj-24265	117	10	36.8	36.8	NUM
brj-24265	117	11	%	%	NOUN
brj-24265	117	12	,	,	PUNCT
brj-24265	117	13	as	as	SCONJ
brj-24265	117	14	shown	show	VERB
brj-24265	117	15	in	in	ADP
brj-24265	117	16	eq	eq	ADJ
brj-24265	117	17	.	.	PROPN
brj-24265	118	1	3	3	X
brj-24265	118	2	.	.	X
brj-24265	118	3	𝑂𝑂𝐵	𝑂𝑂𝐵	PROPN
brj-24265	118	4	=	=	SYM
brj-24265	118	5	lim	lim	PROPN
brj-24265	118	6	𝑚→∞	𝑚→∞	X
brj-24265	118	7	(	(	PUNCT
brj-24265	118	8	1	1	NUM
brj-24265	118	9	−	−	NUM
brj-24265	118	10	1	1	NUM
brj-24265	118	11	𝑚	𝑚	NOUN
brj-24265	118	12	)	)	PUNCT
brj-24265	118	13	𝑚	𝑚	PROPN
brj-24265	119	1	=	=	PUNCT
brj-24265	119	2	𝑒−1	𝑒−1	PROPN
brj-24265	119	3	≈	≈	PROPN
brj-24265	119	4	0.3678	0.3678	NUM
brj-24265	119	5	.	.	PUNCT
brj-24265	120	1	(	(	PUNCT
brj-24265	120	2	3	3	X
brj-24265	120	3	)	)	PUNCT
brj-24265	120	4	for	for	ADP
brj-24265	120	5	the	the	DET
brj-24265	120	6	input	input	NOUN
brj-24265	120	7	variable	variable	ADJ
brj-24265	120	8	n_feature	n_feature	NOUN
brj-24265	120	9	used	use	VERB
brj-24265	120	10	in	in	ADP
brj-24265	120	11	dt	dt	PROPN
brj-24265	120	12	generation	generation	NOUN
brj-24265	120	13	,	,	PUNCT
brj-24265	120	14	the	the	DET
brj-24265	120	15	square	square	ADJ
brj-24265	120	16	root	root	NOUN
brj-24265	120	17	(	(	PUNCT
brj-24265	120	18	“	"	PUNCT
brj-24265	120	19	sqrt	sqrt	NOUN
brj-24265	120	20	”	"	PUNCT
brj-24265	120	21	)	)	PUNCT
brj-24265	120	22	,	,	PUNCT
brj-24265	120	23	binary	binary	NOUN
brj-24265	120	24	logarithm	logarithm	PROPN
brj-24265	120	25	(	(	PUNCT
brj-24265	120	26	“	"	PUNCT
brj-24265	120	27	log2	log2	PROPN
brj-24265	120	28	”	"	PUNCT
brj-24265	120	29	)	)	PUNCT
brj-24265	120	30	,	,	PUNCT
brj-24265	120	31	and	and	CCONJ
brj-24265	120	32	one	one	NUM
brj-24265	120	33	-	-	PUNCT
brj-24265	120	34	third	third	NOUN
brj-24265	120	35	(	(	PUNCT
brj-24265	120	36	“	"	PUNCT
brj-24265	120	37	1/3	1/3	NUM
brj-24265	120	38	”	"	PUNCT
brj-24265	120	39	)	)	PUNCT
brj-24265	120	40	of	of	ADP
brj-24265	120	41	all	all	DET
brj-24265	120	42	spectral	spectral	ADJ
brj-24265	120	43	points	point	NOUN
brj-24265	120	44	were	be	AUX
brj-24265	120	45	tested	test	VERB
brj-24265	120	46	.	.	PUNCT
brj-24265	121	1	the	the	DET
brj-24265	121	2	number	number	NOUN
brj-24265	121	3	of	of	ADP
brj-24265	121	4	trees	tree	NOUN
brj-24265	121	5	(	(	PUNCT
brj-24265	121	6	n_tree	n_tree	NOUN
brj-24265	121	7	)	)	PUNCT
brj-24265	121	8	was	be	AUX
brj-24265	121	9	varied	varied	ADJ
brj-24265	121	10	from	from	ADP
brj-24265	121	11	10	10	NUM
brj-24265	121	12	to	to	PART
brj-24265	121	13	150	150	NUM
brj-24265	121	14	,	,	PUNCT
brj-24265	121	15	and	and	CCONJ
brj-24265	121	16	the	the	DET
brj-24265	121	17	optimal	optimal	ADJ
brj-24265	121	18	values	value	NOUN
brj-24265	121	19	for	for	ADP
brj-24265	121	20	n_feature	n_feature	NOUN
brj-24265	121	21	and	and	CCONJ
brj-24265	121	22	n_tree	n_tree	NOUN
brj-24265	121	23	were	be	AUX
brj-24265	121	24	selected	select	VERB
brj-24265	121	25	based	base	VERB
brj-24265	121	26	on	on	ADP
brj-24265	121	27	the	the	DET
brj-24265	121	28	minimum	minimum	ADJ
brj-24265	121	29	oob	oob	NOUN
brj-24265	121	30	error	error	NOUN
brj-24265	121	31	identified	identify	VERB
brj-24265	121	32	through	through	ADP
brj-24265	121	33	the	the	DET
brj-24265	121	34	grid	grid	NOUN
brj-24265	121	35	search	search	NOUN
brj-24265	121	36	.	.	PUNCT
brj-24265	122	1	xgboost	xgboost	PROPN
brj-24265	122	2	(	(	PUNCT
brj-24265	122	3	xgb	xgb	NUM
brj-24265	122	4	)	)	PUNCT
brj-24265	122	5	the	the	DET
brj-24265	122	6	xgb	xgb	PROPN
brj-24265	122	7	algorithm	algorithm	PROPN
brj-24265	122	8	(	(	PUNCT
brj-24265	122	9	chen	chen	PROPN
brj-24265	122	10	and	and	CCONJ
brj-24265	122	11	guestrin	guestrin	PROPN
brj-24265	122	12	2016	2016	NUM
brj-24265	122	13	)	)	PUNCT
brj-24265	122	14	is	be	AUX
brj-24265	122	15	a	a	DET
brj-24265	122	16	tree	tree	NOUN
brj-24265	122	17	-	-	PUNCT
brj-24265	122	18	based	base	VERB
brj-24265	122	19	ensemble	ensemble	ADJ
brj-24265	122	20	learning	learning	NOUN
brj-24265	122	21	method	method	NOUN
brj-24265	122	22	that	that	PRON
brj-24265	122	23	differs	differ	VERB
brj-24265	122	24	fundamentally	fundamentally	ADV
brj-24265	122	25	from	from	ADP
brj-24265	122	26	the	the	DET
brj-24265	122	27	rf	rf	NOUN
brj-24265	122	28	approach	approach	NOUN
brj-24265	122	29	.	.	PUNCT
brj-24265	123	1	while	while	SCONJ
brj-24265	123	2	rf	rf	NOUN
brj-24265	123	3	builds	build	VERB
brj-24265	123	4	multiple	multiple	ADJ
brj-24265	123	5	dts	dt	NOUN
brj-24265	123	6	independently	independently	ADV
brj-24265	123	7	and	and	CCONJ
brj-24265	123	8	aggregates	aggregate	VERB
brj-24265	123	9	their	their	PRON
brj-24265	123	10	outputs	output	NOUN
brj-24265	123	11	through	through	ADP
brj-24265	123	12	majority	majority	NOUN
brj-24265	123	13	voting	voting	NOUN
brj-24265	123	14	,	,	PUNCT
brj-24265	123	15	xgb	xgb	PROPN
brj-24265	123	16	constructs	construct	VERB
brj-24265	123	17	dts	dts	NOUN
brj-24265	123	18	sequentially	sequentially	ADV
brj-24265	123	19	,	,	PUNCT
brj-24265	123	20	where	where	SCONJ
brj-24265	123	21	each	each	DET
brj-24265	123	22	tree	tree	NOUN
brj-24265	123	23	attempts	attempt	VERB
brj-24265	123	24	to	to	PART
brj-24265	123	25	correct	correct	VERB
brj-24265	123	26	the	the	DET
brj-24265	123	27	residual	residual	ADJ
brj-24265	123	28	errors	error	NOUN
brj-24265	123	29	of	of	ADP
brj-24265	123	30	the	the	DET
brj-24265	123	31	previous	previous	ADJ
brj-24265	123	32	trees	tree	NOUN
brj-24265	123	33	through	through	ADP
brj-24265	123	34	gradient	gradient	NOUN
brj-24265	123	35	-	-	PUNCT
brj-24265	123	36	based	base	VERB
brj-24265	123	37	optimization	optimization	NOUN
brj-24265	123	38	.	.	PUNCT
brj-24265	124	1	this	this	DET
brj-24265	124	2	boosting	boost	VERB
brj-24265	124	3	framework	framework	NOUN
brj-24265	124	4	allows	allow	VERB
brj-24265	124	5	xgb	xgb	NOUN
brj-24265	124	6	to	to	PART
brj-24265	124	7	achieve	achieve	VERB
brj-24265	124	8	higher	high	ADJ
brj-24265	124	9	prediction	prediction	NOUN
brj-24265	124	10	accuracy	accuracy	NOUN
brj-24265	124	11	,	,	PUNCT
brj-24265	124	12	especially	especially	ADV
brj-24265	124	13	in	in	ADP
brj-24265	124	14	cases	case	NOUN
brj-24265	124	15	involving	involve	VERB
brj-24265	124	16	complex	complex	ADJ
brj-24265	124	17	,	,	PUNCT
brj-24265	124	18	nonlinear	nonlinear	ADJ
brj-24265	124	19	patterns	pattern	NOUN
brj-24265	124	20	.	.	PUNCT
brj-24265	125	1	in	in	ADP
brj-24265	125	2	this	this	DET
brj-24265	125	3	study	study	NOUN
brj-24265	125	4	,	,	PUNCT
brj-24265	125	5	dts	dt	NOUN
brj-24265	125	6	were	be	AUX
brj-24265	125	7	employed	employ	VERB
brj-24265	125	8	as	as	ADP
brj-24265	125	9	base	base	NOUN
brj-24265	125	10	learners	learner	NOUN
brj-24265	125	11	to	to	PART
brj-24265	125	12	construct	construct	VERB
brj-24265	125	13	the	the	DET
brj-24265	125	14	xgb	xgb	PROPN
brj-24265	125	15	model	model	NOUN
brj-24265	125	16	.	.	PUNCT
brj-24265	126	1	to	to	PART
brj-24265	126	2	enhance	enhance	VERB
brj-24265	126	3	generalization	generalization	NOUN
brj-24265	126	4	performance	performance	NOUN
brj-24265	126	5	and	and	CCONJ
brj-24265	126	6	prevent	prevent	VERB
brj-24265	126	7	overfitting	overfitting	NOUN
brj-24265	126	8	,	,	PUNCT
brj-24265	126	9	xgb	xgb	PRON
brj-24265	126	10	incorporates	incorporate	VERB
brj-24265	126	11	several	several	ADJ
brj-24265	126	12	regularization	regularization	NOUN
brj-24265	126	13	techniques	technique	NOUN
brj-24265	126	14	,	,	PUNCT
brj-24265	126	15	including	include	VERB
brj-24265	126	16	shrinkage	shrinkage	NOUN
brj-24265	126	17	(	(	PUNCT
brj-24265	126	18	learning	learn	VERB
brj-24265	126	19	rate	rate	NOUN
brj-24265	126	20	control	control	PROPN
brj-24265	126	21	)	)	PUNCT
brj-24265	126	22	,	,	PUNCT
brj-24265	126	23	subsampling	subsample	VERB
brj-24265	126	24	of	of	ADP
brj-24265	126	25	rows	row	NOUN
brj-24265	126	26	and	and	CCONJ
brj-24265	126	27	columns	column	NOUN
brj-24265	126	28	,	,	PUNCT
brj-24265	126	29	and	and	CCONJ
brj-24265	126	30	penalties	penalty	NOUN
brj-24265	126	31	on	on	ADP
brj-24265	126	32	tree	tree	NOUN
brj-24265	126	33	complexity	complexity	NOUN
brj-24265	126	34	.	.	PUNCT
brj-24265	127	1	additionally	additionally	ADV
brj-24265	127	2	,	,	PUNCT
brj-24265	127	3	unlike	unlike	ADP
brj-24265	127	4	traditional	traditional	ADJ
brj-24265	127	5	gradient	gradient	NOUN
brj-24265	127	6	boosting	boosting	NOUN
brj-24265	127	7	,	,	PUNCT
brj-24265	127	8	xgb	xgb	NOUN
brj-24265	127	9	leverages	leverage	VERB
brj-24265	127	10	second	second	ADJ
brj-24265	127	11	-	-	PUNCT
brj-24265	127	12	order	order	NOUN
brj-24265	127	13	derivatives	derivative	NOUN
brj-24265	127	14	(	(	PUNCT
brj-24265	127	15	i.e.	i.e.	X
brj-24265	127	16	,	,	PUNCT
brj-24265	127	17	both	both	DET
brj-24265	127	18	gradients	gradient	NOUN
brj-24265	127	19	and	and	CCONJ
brj-24265	127	20	hessians	hessian	NOUN
brj-24265	127	21	)	)	PUNCT
brj-24265	127	22	of	of	ADP
brj-24265	127	23	the	the	DET
brj-24265	127	24	loss	loss	NOUN
brj-24265	127	25	function	function	NOUN
brj-24265	127	26	to	to	PART
brj-24265	127	27	improve	improve	VERB
brj-24265	127	28	convergence	convergence	NOUN
brj-24265	127	29	speed	speed	NOUN
brj-24265	127	30	and	and	CCONJ
brj-24265	127	31	model	model	NOUN
brj-24265	127	32	stability	stability	NOUN
brj-24265	127	33	.	.	PUNCT
brj-24265	128	1	for	for	ADP
brj-24265	128	2	multiclass	multiclass	ADJ
brj-24265	128	3	classification	classification	NOUN
brj-24265	128	4	,	,	PUNCT
brj-24265	128	5	the	the	DET
brj-24265	128	6	number	number	NOUN
brj-24265	128	7	of	of	ADP
brj-24265	128	8	boosting	boost	VERB
brj-24265	128	9	rounds	round	NOUN
brj-24265	128	10	(	(	PUNCT
brj-24265	128	11	n_rounds	n_round	NOUN
brj-24265	128	12	)	)	PUNCT
brj-24265	128	13	was	be	AUX
brj-24265	128	14	varied	varied	ADJ
brj-24265	128	15	from	from	ADP
brj-24265	128	16	10	10	NUM
brj-24265	128	17	to	to	PART
brj-24265	128	18	150	150	NUM
brj-24265	128	19	,	,	PUNCT
brj-24265	128	20	the	the	DET
brj-24265	128	21	maximum	maximum	ADJ
brj-24265	128	22	tree	tree	NOUN
brj-24265	128	23	depth	depth	NOUN
brj-24265	128	24	(	(	PUNCT
brj-24265	128	25	max_depth	max_depth	NOUN
brj-24265	128	26	)	)	PUNCT
brj-24265	128	27	was	be	AUX
brj-24265	128	28	adjusted	adjust	VERB
brj-24265	128	29	between	between	ADP
brj-24265	128	30	3	3	NUM
brj-24265	128	31	and	and	CCONJ
brj-24265	128	32	5	5	NUM
brj-24265	128	33	,	,	PUNCT
brj-24265	128	34	and	and	CCONJ
brj-24265	128	35	the	the	DET
brj-24265	128	36	learning	learning	NOUN
brj-24265	128	37	rate	rate	NOUN
brj-24265	128	38	(	(	PUNCT
brj-24265	128	39	eta	eta	PROPN
brj-24265	128	40	)	)	PUNCT
brj-24265	128	41	was	be	AUX
brj-24265	128	42	tested	test	VERB
brj-24265	128	43	in	in	ADP
brj-24265	128	44	the	the	DET
brj-24265	128	45	range	range	NOUN
brj-24265	128	46	of	of	ADP
brj-24265	128	47	0.001	0.001	NUM
brj-24265	128	48	to	to	ADP
brj-24265	128	49	0.3	0.3	NUM
brj-24265	128	50	.	.	PUNCT
brj-24265	129	1	grid	grid	NOUN
brj-24265	129	2	search	search	NOUN
brj-24265	129	3	was	be	AUX
brj-24265	129	4	used	use	VERB
brj-24265	129	5	to	to	PART
brj-24265	129	6	identify	identify	VERB
brj-24265	129	7	the	the	DET
brj-24265	129	8	optimal	optimal	ADJ
brj-24265	129	9	set	set	NOUN
brj-24265	129	10	of	of	ADP
brj-24265	129	11	hyperparameters	hyperparameter	NOUN
brj-24265	129	12	based	base	VERB
brj-24265	129	13	on	on	ADP
brj-24265	129	14	the	the	DET
brj-24265	129	15	classification	classification	NOUN
brj-24265	129	16	accuracy	accuracy	NOUN
brj-24265	129	17	on	on	ADP
brj-24265	129	18	the	the	DET
brj-24265	129	19	validation	validation	NOUN
brj-24265	129	20	dataset	dataset	NOUN
brj-24265	129	21	.	.	PUNCT
brj-24265	130	1	peer	peer	NOUN
brj-24265	130	2	-	-	PUNCT
brj-24265	130	3	reviewed	review	VERB
brj-24265	130	4	article	article	NOUN
brj-24265	130	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24265	130	6	lee	lee	PROPN
brj-24265	130	7	et	et	PROPN
brj-24265	130	8	al	al	PROPN
brj-24265	130	9	.	.	PROPN
brj-24265	131	1	(	(	PUNCT
brj-24265	131	2	2025	2025	NUM
brj-24265	131	3	)	)	PUNCT
brj-24265	131	4	.	.	PUNCT
brj-24265	132	1	“	"	PUNCT
brj-24265	132	2	wire	wire	NOUN
brj-24265	132	3	-	-	PUNCT
brj-24265	132	4	mark	mark	NOUN
brj-24265	132	5	analysis	analysis	NOUN
brj-24265	132	6	of	of	ADP
brj-24265	132	7	paper	paper	NOUN
brj-24265	132	8	,	,	PUNCT
brj-24265	132	9	”	"	PUNCT
brj-24265	132	10	bioresources	bioresource	VERB
brj-24265	132	11	20(4	20(4	NOUN
brj-24265	132	12	)	)	PUNCT
brj-24265	132	13	,	,	PUNCT
brj-24265	132	14	9208	9208	NUM
brj-24265	132	15	-	-	SYM
brj-24265	132	16	9225	9225	NUM
brj-24265	132	17	.	.	PUNCT
brj-24265	133	1	9214	9214	NUM
brj-24265	133	2	evaluation	evaluation	NOUN
brj-24265	133	3	metric	metric	NOUN
brj-24265	133	4	accurately	accurately	ADV
brj-24265	133	5	evaluating	evaluate	VERB
brj-24265	133	6	the	the	DET
brj-24265	133	7	classification	classification	NOUN
brj-24265	133	8	of	of	ADP
brj-24265	133	9	observations	observation	NOUN
brj-24265	133	10	into	into	ADP
brj-24265	133	11	positive	positive	ADJ
brj-24265	133	12	and	and	CCONJ
brj-24265	133	13	negative	negative	ADJ
brj-24265	133	14	categories	category	NOUN
brj-24265	133	15	is	be	AUX
brj-24265	133	16	essential	essential	ADJ
brj-24265	133	17	in	in	ADP
brj-24265	133	18	classification	classification	NOUN
brj-24265	133	19	tasks	task	NOUN
brj-24265	133	20	.	.	PUNCT
brj-24265	134	1	true	true	ADJ
brj-24265	134	2	positives	positive	NOUN
brj-24265	134	3	represent	represent	VERB
brj-24265	134	4	observations	observation	NOUN
brj-24265	134	5	correctly	correctly	ADV
brj-24265	134	6	classified	classify	VERB
brj-24265	134	7	as	as	ADP
brj-24265	134	8	belonging	belong	VERB
brj-24265	134	9	to	to	ADP
brj-24265	134	10	the	the	DET
brj-24265	134	11	positive	positive	ADJ
brj-24265	134	12	class	class	NOUN
brj-24265	134	13	,	,	PUNCT
brj-24265	134	14	whereas	whereas	SCONJ
brj-24265	134	15	true	true	ADJ
brj-24265	134	16	negatives	negative	NOUN
brj-24265	134	17	denote	denote	VERB
brj-24265	134	18	observations	observation	NOUN
brj-24265	134	19	correctly	correctly	ADV
brj-24265	134	20	classified	classify	VERB
brj-24265	134	21	as	as	ADP
brj-24265	134	22	belonging	belong	VERB
brj-24265	134	23	to	to	ADP
brj-24265	134	24	the	the	DET
brj-24265	134	25	negative	negative	ADJ
brj-24265	134	26	class	class	NOUN
brj-24265	134	27	.	.	PUNCT
brj-24265	135	1	conversely	conversely	ADV
brj-24265	135	2	,	,	PUNCT
brj-24265	135	3	false	false	ADJ
brj-24265	135	4	negatives	negative	NOUN
brj-24265	135	5	occur	occur	VERB
brj-24265	135	6	when	when	SCONJ
brj-24265	135	7	positive	positive	ADJ
brj-24265	135	8	observations	observation	NOUN
brj-24265	135	9	are	be	AUX
brj-24265	135	10	incorrectly	incorrectly	ADV
brj-24265	135	11	classified	classify	VERB
brj-24265	135	12	as	as	ADP
brj-24265	135	13	negative	negative	ADJ
brj-24265	135	14	,	,	PUNCT
brj-24265	135	15	and	and	CCONJ
brj-24265	135	16	false	false	ADJ
brj-24265	135	17	positives	positive	NOUN
brj-24265	135	18	arise	arise	VERB
brj-24265	135	19	when	when	SCONJ
brj-24265	135	20	negative	negative	ADJ
brj-24265	135	21	observations	observation	NOUN
brj-24265	135	22	are	be	AUX
brj-24265	135	23	incorrectly	incorrectly	ADV
brj-24265	135	24	classified	classify	VERB
brj-24265	135	25	as	as	ADP
brj-24265	135	26	positive	positive	ADJ
brj-24265	135	27	.	.	PUNCT
brj-24265	136	1	these	these	DET
brj-24265	136	2	values	value	NOUN
brj-24265	136	3	enable	enable	VERB
brj-24265	136	4	the	the	DET
brj-24265	136	5	calculation	calculation	NOUN
brj-24265	136	6	of	of	ADP
brj-24265	136	7	various	various	ADJ
brj-24265	136	8	performance	performance	NOUN
brj-24265	136	9	metrics	metric	NOUN
brj-24265	136	10	to	to	PART
brj-24265	136	11	assess	assess	VERB
brj-24265	136	12	the	the	DET
brj-24265	136	13	effectiveness	effectiveness	NOUN
brj-24265	136	14	of	of	ADP
brj-24265	136	15	classification	classification	NOUN
brj-24265	136	16	models	model	NOUN
brj-24265	136	17	in	in	ADP
brj-24265	136	18	detecting	detect	VERB
brj-24265	136	19	the	the	DET
brj-24265	136	20	target	target	NOUN
brj-24265	136	21	class	class	NOUN
brj-24265	136	22	.	.	PUNCT
brj-24265	137	1	the	the	DET
brj-24265	137	2	f1	f1	PROPN
brj-24265	137	3	score	score	NOUN
brj-24265	137	4	,	,	PUNCT
brj-24265	137	5	which	which	PRON
brj-24265	137	6	is	be	AUX
brj-24265	137	7	the	the	DET
brj-24265	137	8	harmonic	harmonic	ADJ
brj-24265	137	9	mean	mean	NOUN
brj-24265	137	10	of	of	ADP
brj-24265	137	11	precision	precision	NOUN
brj-24265	137	12	(	(	PUNCT
brj-24265	137	13	eq	eq	NOUN
brj-24265	137	14	.	.	NOUN
brj-24265	137	15	4	4	NUM
brj-24265	137	16	)	)	PUNCT
brj-24265	137	17	and	and	CCONJ
brj-24265	137	18	recall	recall	NOUN
brj-24265	137	19	(	(	PUNCT
brj-24265	137	20	eq	eq	NOUN
brj-24265	137	21	.	.	PROPN
brj-24265	137	22	5	5	NUM
brj-24265	137	23	)	)	PUNCT
brj-24265	137	24	,	,	PUNCT
brj-24265	137	25	is	be	AUX
brj-24265	137	26	a	a	DET
brj-24265	137	27	commonly	commonly	ADV
brj-24265	137	28	used	use	VERB
brj-24265	137	29	performance	performance	NOUN
brj-24265	137	30	metric	metric	ADJ
brj-24265	137	31	in	in	ADP
brj-24265	137	32	classification	classification	NOUN
brj-24265	137	33	problems	problem	NOUN
brj-24265	137	34	with	with	ADP
brj-24265	137	35	class	class	NOUN
brj-24265	137	36	imbalance	imbalance	NOUN
brj-24265	137	37	;	;	PUNCT
brj-24265	137	38	it	it	PRON
brj-24265	137	39	is	be	AUX
brj-24265	137	40	defined	define	VERB
brj-24265	137	41	in	in	ADP
brj-24265	137	42	eq	eq	ADJ
brj-24265	137	43	.	.	PROPN
brj-24265	137	44	6	6	NUM
brj-24265	137	45	.	.	PUNCT
brj-24265	138	1	𝑃𝑟𝑒𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑠𝑖𝑜𝑛	PROPN
brj-24265	138	2	=	=	SYM
brj-24265	138	3	𝑇𝑃	𝑇𝑃	PROPN
brj-24265	138	4	𝑇𝑃+𝐹𝑃	𝑇𝑃+𝐹𝑃	NOUN
brj-24265	138	5	,	,	PUNCT
brj-24265	138	6	(	(	PUNCT
brj-24265	138	7	4	4	X
brj-24265	138	8	)	)	PUNCT
brj-24265	138	9	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
brj-24265	138	10	=	=	SYM
brj-24265	138	11	𝑇𝑃	𝑇𝑃	PROPN
brj-24265	138	12	𝑇𝑃+𝐹𝑁	𝑇𝑃+𝐹𝑁	NOUN
brj-24265	138	13	,	,	PUNCT
brj-24265	138	14	(	(	PUNCT
brj-24265	138	15	5	5	X
brj-24265	138	16	)	)	PUNCT
brj-24265	138	17	𝐹1	𝐹1	NOUN
brj-24265	138	18	𝑠𝑐𝑜𝑟𝑒	𝑠𝑐𝑜𝑟𝑒	NOUN
brj-24265	138	19	=	=	SYM
brj-24265	138	20	2	2	NUM
brj-24265	138	21	×	×	NOUN
brj-24265	138	22	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛×𝑅𝑒𝑐𝑎𝑙𝑙	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛×𝑅𝑒𝑐𝑎𝑙𝑙	NOUN
brj-24265	138	23	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛+𝑅𝑒𝑐𝑎𝑙𝑙	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛+𝑅𝑒𝑐𝑎𝑙𝑙	NOUN
brj-24265	138	24	.	.	PUNCT
brj-24265	139	1	(	(	PUNCT
brj-24265	139	2	6	6	X
brj-24265	139	3	)	)	PUNCT
brj-24265	139	4	the	the	DET
brj-24265	139	5	weighted	weight	VERB
brj-24265	139	6	f1	f1	PROPN
brj-24265	139	7	score	score	NOUN
brj-24265	139	8	,	,	PUNCT
brj-24265	139	9	which	which	PRON
brj-24265	139	10	was	be	AUX
brj-24265	139	11	applied	apply	VERB
brj-24265	139	12	to	to	PART
brj-24265	139	13	evaluate	evaluate	VERB
brj-24265	139	14	the	the	DET
brj-24265	139	15	performance	performance	NOUN
brj-24265	139	16	of	of	ADP
brj-24265	139	17	the	the	DET
brj-24265	139	18	rf	rf	ADJ
brj-24265	139	19	model	model	NOUN
brj-24265	139	20	,	,	PUNCT
brj-24265	139	21	accounts	account	VERB
brj-24265	139	22	for	for	ADP
brj-24265	139	23	class	class	NOUN
brj-24265	139	24	imbalance	imbalance	NOUN
brj-24265	139	25	by	by	ADP
brj-24265	139	26	assigning	assign	VERB
brj-24265	139	27	weights	weight	NOUN
brj-24265	139	28	to	to	ADP
brj-24265	139	29	each	each	DET
brj-24265	139	30	class	class	NOUN
brj-24265	139	31	(	(	PUNCT
brj-24265	139	32	eq	eq	NOUN
brj-24265	139	33	.	.	NOUN
brj-24265	139	34	7	7	NUM
brj-24265	139	35	)	)	PUNCT
brj-24265	139	36	and	and	CCONJ
brj-24265	139	37	integrating	integrate	VERB
brj-24265	139	38	these	these	DET
brj-24265	139	39	weights	weight	NOUN
brj-24265	139	40	into	into	ADP
brj-24265	139	41	their	their	PRON
brj-24265	139	42	respective	respective	ADJ
brj-24265	139	43	f1	f1	NOUN
brj-24265	139	44	scores	score	NOUN
brj-24265	139	45	(	(	PUNCT
brj-24265	139	46	eq	eq	NOUN
brj-24265	139	47	.	.	PROPN
brj-24265	139	48	8)	8)	NUM
brj-24265	139	49	.	.	PUNCT
brj-24265	140	1	this	this	DET
brj-24265	140	2	approach	approach	NOUN
brj-24265	140	3	enables	enable	VERB
brj-24265	140	4	the	the	DET
brj-24265	140	5	weighted	weight	VERB
brj-24265	140	6	f1	f1	NOUN
brj-24265	140	7	score	score	NOUN
brj-24265	140	8	to	to	PART
brj-24265	140	9	assess	assess	VERB
brj-24265	140	10	both	both	PRON
brj-24265	140	11	individual	individual	ADJ
brj-24265	140	12	class	class	NOUN
brj-24265	140	13	performance	performance	NOUN
brj-24265	140	14	and	and	CCONJ
brj-24265	140	15	overall	overall	ADJ
brj-24265	140	16	model	model	NOUN
brj-24265	140	17	performance	performance	NOUN
brj-24265	140	18	,	,	PUNCT
brj-24265	140	19	even	even	ADV
brj-24265	140	20	with	with	ADP
brj-24265	140	21	imbalanced	imbalanced	ADJ
brj-24265	140	22	datasets	dataset	NOUN
brj-24265	140	23	(	(	PUNCT
brj-24265	140	24	hwang	hwang	PROPN
brj-24265	140	25	et	et	PROPN
brj-24265	140	26	al	al	PROPN
brj-24265	140	27	.	.	PROPN
brj-24265	140	28	2024	2024	NUM
brj-24265	140	29	)	)	PUNCT
brj-24265	140	30	,	,	PUNCT
brj-24265	140	31	𝑤𝑖	𝑤𝑖	ADP
brj-24265	140	32	=	=	PUNCT
brj-24265	140	33	𝑁𝑖	𝑁𝑖	PROPN
brj-24265	140	34	𝑇𝑖	𝑇𝑖	PROPN
brj-24265	140	35	,	,	PUNCT
brj-24265	140	36	(	(	PUNCT
brj-24265	140	37	7	7	X
brj-24265	140	38	)	)	PUNCT
brj-24265	140	39	where	where	SCONJ
brj-24265	140	40	𝑤𝑖	𝑤𝑖	PRON
brj-24265	140	41	denotes	denote	VERB
brj-24265	140	42	the	the	DET
brj-24265	140	43	weight	weight	NOUN
brj-24265	140	44	of	of	ADP
brj-24265	140	45	class	class	NOUN
brj-24265	140	46	,	,	PUNCT
brj-24265	140	47	𝑁𝑖	𝑁𝑖	PROPN
brj-24265	140	48	denotes	denote	VERB
brj-24265	140	49	the	the	DET
brj-24265	140	50	number	number	NOUN
brj-24265	140	51	of	of	ADP
brj-24265	140	52	samples	sample	NOUN
brj-24265	140	53	in	in	ADP
brj-24265	140	54	the	the	DET
brj-24265	140	55	class	class	NOUN
brj-24265	140	56	,	,	PUNCT
brj-24265	140	57	and	and	CCONJ
brj-24265	140	58	𝑇𝑖	𝑇𝑖	ADP
brj-24265	140	59	denotes	denote	NOUN
brj-24265	140	60	the	the	DET
brj-24265	140	61	total	total	ADJ
brj-24265	140	62	number	number	NOUN
brj-24265	140	63	of	of	ADP
brj-24265	140	64	samples	sample	NOUN
brj-24265	140	65	.	.	PUNCT
brj-24265	141	1	𝑊𝑒𝑖𝑔ℎ𝑡𝑒𝑑	𝑊𝑒𝑖𝑔ℎ𝑡𝑒𝑑	ADJ
brj-24265	141	2	𝐹1𝑖	𝐹1𝑖	PROPN
brj-24265	142	1	=	=	PUNCT
brj-24265	142	2	∑	∑	ADP
brj-24265	142	3	𝑤𝑖	𝑤𝑖	PRON
brj-24265	142	4	×	×	NOUN
brj-24265	142	5	𝐹1𝑖	𝐹1𝑖	PROPN
brj-24265	142	6	𝑁	𝑁	PROPN
brj-24265	142	7	𝑖=1	𝑖=1	PROPN
brj-24265	142	8	.	.	PUNCT
brj-24265	143	1	(	(	PUNCT
brj-24265	143	2	8)	8)	NUM
brj-24265	143	3	feature	feature	NOUN
brj-24265	143	4	importance	importance	NOUN
brj-24265	143	5	measures	measure	NOUN
brj-24265	143	6	from	from	ADP
brj-24265	143	7	the	the	DET
brj-24265	143	8	random	random	ADJ
brj-24265	143	9	forest	forest	NOUN
brj-24265	143	10	model	model	NOUN
brj-24265	143	11	the	the	DET
brj-24265	143	12	importance	importance	NOUN
brj-24265	143	13	of	of	ADP
brj-24265	143	14	order	order	NOUN
brj-24265	143	15	in	in	ADP
brj-24265	143	16	the	the	DET
brj-24265	143	17	step	step	NOUN
brj-24265	143	18	and	and	CCONJ
brj-24265	143	19	angle	angle	NOUN
brj-24265	143	20	data	datum	NOUN
brj-24265	143	21	was	be	AUX
brj-24265	143	22	assessed	assess	VERB
brj-24265	143	23	using	use	VERB
brj-24265	143	24	the	the	DET
brj-24265	143	25	mean	mean	ADJ
brj-24265	143	26	decrease	decrease	NOUN
brj-24265	143	27	impurity	impurity	NOUN
brj-24265	143	28	method	method	NOUN
brj-24265	143	29	(	(	PUNCT
brj-24265	143	30	louppe	louppe	PROPN
brj-24265	143	31	et	et	PROPN
brj-24265	143	32	al	al	PROPN
brj-24265	143	33	.	.	PROPN
brj-24265	143	34	2013	2013	NUM
brj-24265	143	35	)	)	PUNCT
brj-24265	143	36	.	.	PUNCT
brj-24265	144	1	this	this	DET
brj-24265	144	2	approach	approach	NOUN
brj-24265	144	3	identifies	identify	VERB
brj-24265	144	4	variables	variable	NOUN
brj-24265	144	5	that	that	PRON
brj-24265	144	6	are	be	AUX
brj-24265	144	7	significant	significant	ADJ
brj-24265	144	8	in	in	ADP
brj-24265	144	9	the	the	DET
brj-24265	144	10	decision	decision	NOUN
brj-24265	144	11	making	making	NOUN
brj-24265	144	12	of	of	ADP
brj-24265	144	13	the	the	DET
brj-24265	144	14	rf	rf	NOUN
brj-24265	144	15	model	model	NOUN
brj-24265	144	16	to	to	PART
brj-24265	144	17	confirm	confirm	VERB
brj-24265	144	18	the	the	DET
brj-24265	144	19	manufacturing	manufacturing	NOUN
brj-24265	144	20	date	date	NOUN
brj-24265	144	21	and	and	CCONJ
brj-24265	144	22	location	location	NOUN
brj-24265	144	23	of	of	ADP
brj-24265	144	24	printing	printing	NOUN
brj-24265	144	25	paper	paper	NOUN
brj-24265	144	26	.	.	PUNCT
brj-24265	145	1	the	the	DET
brj-24265	145	2	dts	dts	NOUN
brj-24265	145	3	contribute	contribute	VERB
brj-24265	145	4	to	to	ADP
brj-24265	145	5	understanding	understand	VERB
brj-24265	145	6	the	the	DET
brj-24265	145	7	role	role	NOUN
brj-24265	145	8	of	of	ADP
brj-24265	145	9	each	each	DET
brj-24265	145	10	variable	variable	NOUN
brj-24265	145	11	and	and	CCONJ
brj-24265	145	12	offer	offer	VERB
brj-24265	145	13	transparency	transparency	NOUN
brj-24265	145	14	and	and	CCONJ
brj-24265	145	15	insight	insight	NOUN
brj-24265	145	16	into	into	ADP
brj-24265	145	17	the	the	DET
brj-24265	145	18	decision	decision	NOUN
brj-24265	145	19	-	-	PUNCT
brj-24265	145	20	making	make	VERB
brj-24265	145	21	process	process	NOUN
brj-24265	145	22	of	of	ADP
brj-24265	145	23	the	the	DET
brj-24265	145	24	classification	classification	NOUN
brj-24265	145	25	model	model	NOUN
brj-24265	145	26	.	.	PUNCT
brj-24265	146	1	this	this	DET
brj-24265	146	2	process	process	NOUN
brj-24265	146	3	,	,	PUNCT
brj-24265	146	4	called	call	VERB
brj-24265	146	5	feature	feature	NOUN
brj-24265	146	6	importance	importance	NOUN
brj-24265	146	7	measurement	measurement	NOUN
brj-24265	146	8	,	,	PUNCT
brj-24265	146	9	is	be	AUX
brj-24265	146	10	defined	define	VERB
brj-24265	146	11	as	as	ADP
brj-24265	146	12	follows	follow	VERB
brj-24265	146	13	,	,	PUNCT
brj-24265	146	14	𝐼(𝑛𝑗	𝐼(𝑛𝑗	PROPN
brj-24265	146	15	)	)	PUNCT
brj-24265	146	16	=	=	NOUN
brj-24265	147	1	𝑤𝑗𝐶𝑗	𝑤𝑗𝐶𝑗	PROPN
brj-24265	147	2	−	−	PROPN
brj-24265	147	3	𝑤𝐿𝑗	𝑤𝐿𝑗	ADP
brj-24265	147	4	𝐶𝐿𝑗	𝐶𝐿𝑗	NOUN
brj-24265	147	5	−	−	VERB
brj-24265	147	6	𝑤𝑅𝑗	𝑤𝑅𝑗	NOUN
brj-24265	147	7	𝐶𝑅𝑗	𝐶𝑅𝑗	NOUN
brj-24265	147	8	,	,	PUNCT
brj-24265	147	9	(	(	PUNCT
brj-24265	147	10	9	9	X
brj-24265	147	11	)	)	PUNCT
brj-24265	147	12	where	where	SCONJ
brj-24265	147	13	𝑛𝑗	𝑛𝑗	ADP
brj-24265	147	14	denotes	denote	VERB
brj-24265	147	15	the	the	DET
brj-24265	147	16	parent	parent	NOUN
brj-24265	147	17	node	node	NOUN
brj-24265	147	18	,	,	PUNCT
brj-24265	147	19	𝐿𝑗	𝐿𝑗	PROPN
brj-24265	147	20	and	and	CCONJ
brj-24265	147	21	𝑅𝑗	𝑅𝑗	PROPN
brj-24265	147	22	denote	denote	VERB
brj-24265	147	23	the	the	DET
brj-24265	147	24	left	left	ADJ
brj-24265	147	25	and	and	CCONJ
brj-24265	147	26	right	right	ADJ
brj-24265	147	27	child	child	NOUN
brj-24265	147	28	nodes	node	NOUN
brj-24265	147	29	branched	branch	VERB
brj-24265	147	30	from	from	ADP
brj-24265	147	31	𝑛𝑗	𝑛𝑗	ADP
brj-24265	147	32	,	,	PUNCT
brj-24265	147	33	𝑤𝑗	𝑤𝑗	ADP
brj-24265	147	34	denotes	denote	VERB
brj-24265	147	35	the	the	DET
brj-24265	147	36	node	node	ADJ
brj-24265	147	37	weight	weight	NOUN
brj-24265	147	38	or	or	CCONJ
brj-24265	147	39	sample	sample	NOUN
brj-24265	147	40	count	count	NOUN
brj-24265	147	41	,	,	PUNCT
brj-24265	147	42	and	and	CCONJ
brj-24265	147	43	𝐶𝑗	𝐶𝑗	PROPN
brj-24265	147	44	denotes	denote	VERB
brj-24265	147	45	the	the	DET
brj-24265	147	46	impurity	impurity	NOUN
brj-24265	147	47	of	of	ADP
brj-24265	147	48	𝑛𝑗.	𝑛𝑗.	VERB
brj-24265	147	49	the	the	DET
brj-24265	147	50	importance	importance	NOUN
brj-24265	147	51	of	of	ADP
brj-24265	147	52	variable	variable	ADJ
brj-24265	147	53	i	i	PRON
brj-24265	147	54	in	in	ADP
brj-24265	147	55	a	a	DET
brj-24265	147	56	dt	dt	NOUN
brj-24265	147	57	is	be	AUX
brj-24265	147	58	defined	define	VERB
brj-24265	147	59	as	as	ADP
brj-24265	147	60	follows	follow	NOUN
brj-24265	147	61	,	,	PUNCT
brj-24265	147	62	𝐼(𝑓𝑖	𝐼(𝑓𝑖	X
brj-24265	147	63	)	)	PUNCT
brj-24265	147	64	=	=	SYM
brj-24265	148	1	∑	∑	PUNCT
brj-24265	148	2	𝐼(𝑛𝑗)𝑗	𝐼(𝑛𝑗)𝑗	X
brj-24265	148	3	∑	∑	ADV
brj-24265	148	4	𝐼(𝑛𝑘)𝑘∈𝑛𝑎𝑙𝑙	𝐼(𝑛𝑘)𝑘∈𝑛𝑎𝑙𝑙	X
brj-24265	148	5	(	(	PUNCT
brj-24265	148	6	10	10	NUM
brj-24265	148	7	)	)	PUNCT
brj-24265	148	8	where	where	SCONJ
brj-24265	148	9	𝐼(𝑓𝑖	𝐼(𝑓𝑖	NOUN
brj-24265	148	10	)	)	PUNCT
brj-24265	148	11	denotes	denote	VERB
brj-24265	148	12	the	the	DET
brj-24265	148	13	importance	importance	NOUN
brj-24265	148	14	of	of	ADP
brj-24265	148	15	variable	variable	ADJ
brj-24265	148	16	i	i	PRON
brj-24265	148	17	in	in	ADP
brj-24265	148	18	the	the	DET
brj-24265	148	19	tree	tree	NOUN
brj-24265	148	20	model	model	NOUN
brj-24265	148	21	.	.	PUNCT
brj-24265	149	1	in	in	ADP
brj-24265	149	2	the	the	DET
brj-24265	149	3	rf	rf	ADJ
brj-24265	149	4	model	model	NOUN
brj-24265	149	5	,	,	PUNCT
brj-24265	149	6	variable	variable	ADJ
brj-24265	149	7	importance	importance	NOUN
brj-24265	149	8	is	be	AUX
brj-24265	149	9	determined	determine	VERB
brj-24265	149	10	by	by	ADP
brj-24265	149	11	aggregating	aggregate	VERB
brj-24265	149	12	the	the	DET
brj-24265	149	13	importance	importance	NOUN
brj-24265	149	14	values	value	NOUN
brj-24265	149	15	of	of	ADP
brj-24265	149	16	all	all	DET
brj-24265	149	17	dts	dts	NOUN
brj-24265	149	18	.	.	PUNCT
brj-24265	150	1	prior	prior	ADJ
brj-24265	150	2	peer	peer	NOUN
brj-24265	150	3	-	-	PUNCT
brj-24265	150	4	reviewed	review	VERB
brj-24265	150	5	article	article	NOUN
brj-24265	150	6	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24265	150	7	lee	lee	PROPN
brj-24265	150	8	et	et	PROPN
brj-24265	150	9	al	al	PROPN
brj-24265	150	10	.	.	PROPN
brj-24265	151	1	(	(	PUNCT
brj-24265	151	2	2025	2025	NUM
brj-24265	151	3	)	)	PUNCT
brj-24265	151	4	.	.	PUNCT
brj-24265	152	1	“	"	PUNCT
brj-24265	152	2	wire	wire	NOUN
brj-24265	152	3	-	-	PUNCT
brj-24265	152	4	mark	mark	NOUN
brj-24265	152	5	analysis	analysis	NOUN
brj-24265	152	6	of	of	ADP
brj-24265	152	7	paper	paper	NOUN
brj-24265	152	8	,	,	PUNCT
brj-24265	152	9	”	"	PUNCT
brj-24265	152	10	bioresources	bioresource	VERB
brj-24265	152	11	20(4	20(4	NOUN
brj-24265	152	12	)	)	PUNCT
brj-24265	152	13	,	,	PUNCT
brj-24265	152	14	9208	9208	NUM
brj-24265	152	15	-	-	SYM
brj-24265	152	16	9225	9225	NUM
brj-24265	152	17	.	.	PUNCT
brj-24265	153	1	9215	9215	NUM
brj-24265	153	2	to	to	ADP
brj-24265	153	3	aggregation	aggregation	NOUN
brj-24265	153	4	,	,	PUNCT
brj-24265	153	5	the	the	DET
brj-24265	153	6	importance	importance	NOUN
brj-24265	153	7	of	of	ADP
brj-24265	153	8	each	each	DET
brj-24265	153	9	variable	variable	NOUN
brj-24265	153	10	is	be	AUX
brj-24265	153	11	normalized	normalize	VERB
brj-24265	153	12	using	use	VERB
brj-24265	153	13	eq	eq	ADP
brj-24265	153	14	.	.	PROPN
brj-24265	153	15	11	11	NUM
brj-24265	153	16	.	.	PUNCT
brj-24265	154	1	𝑛𝑜𝑟𝑚𝐼(𝑓𝑖	𝑛𝑜𝑟𝑚𝐼(𝑓𝑖	NOUN
brj-24265	154	2	)	)	PUNCT
brj-24265	154	3	=	=	SYM
brj-24265	154	4	𝐼(𝑓𝑖	𝐼(𝑓𝑖	NOUN
brj-24265	154	5	)	)	PUNCT
brj-24265	154	6	∑	∑	PUNCT
brj-24265	154	7	𝐼(𝑓𝑗)𝑗∈𝑓𝑎𝑙𝑙	𝐼(𝑓𝑗)𝑗∈𝑓𝑎𝑙𝑙	X
brj-24265	154	8	(	(	PUNCT
brj-24265	154	9	11	11	NUM
brj-24265	154	10	)	)	PUNCT
brj-24265	154	11	finally	finally	ADV
brj-24265	154	12	,	,	PUNCT
brj-24265	154	13	the	the	DET
brj-24265	154	14	overall	overall	ADJ
brj-24265	154	15	importance	importance	NOUN
brj-24265	154	16	of	of	ADP
brj-24265	154	17	each	each	DET
brj-24265	154	18	variable	variable	NOUN
brj-24265	154	19	in	in	ADP
brj-24265	154	20	the	the	DET
brj-24265	154	21	rf	rf	NOUN
brj-24265	154	22	model	model	NOUN
brj-24265	154	23	is	be	AUX
brj-24265	154	24	averaged	average	VERB
brj-24265	154	25	across	across	ADP
brj-24265	154	26	all	all	DET
brj-24265	154	27	dts	dts	NOUN
brj-24265	154	28	,	,	PUNCT
brj-24265	154	29	as	as	SCONJ
brj-24265	154	30	shown	show	VERB
brj-24265	154	31	in	in	ADP
brj-24265	154	32	eq	eq	PROPN
brj-24265	154	33	.	.	PROPN
brj-24265	154	34	12	12	NUM
brj-24265	154	35	,	,	PUNCT
brj-24265	154	36	𝐼(𝑅𝐹𝑖	𝐼(𝑅𝐹𝑖	PROPN
brj-24265	154	37	)	)	PUNCT
brj-24265	154	38	=	=	PUNCT
brj-24265	155	1	∑	∑	PUNCT
brj-24265	155	2	𝑛𝑜𝑟𝑚𝐼(𝑓𝑖𝑗	𝑛𝑜𝑟𝑚𝐼(𝑓𝑖𝑗	ADJ
brj-24265	155	3	)	)	PUNCT
brj-24265	155	4	𝑗∈𝑡𝑎𝑙𝑙	𝑗∈𝑡𝑎𝑙𝑙	PROPN
brj-24265	155	5	𝑇	𝑇	PROPN
brj-24265	155	6	(	(	PUNCT
brj-24265	155	7	12	12	NUM
brj-24265	155	8	)	)	PUNCT
brj-24265	155	9	where	where	SCONJ
brj-24265	155	10	t	t	PROPN
brj-24265	155	11	represents	represent	VERB
brj-24265	155	12	each	each	DET
brj-24265	155	13	dt	dt	PROPN
brj-24265	155	14	model	model	NOUN
brj-24265	155	15	,	,	PUNCT
brj-24265	155	16	𝑛𝑜𝑟𝑚𝐼(𝑓𝑖𝑗	𝑛𝑜𝑟𝑚𝐼(𝑓𝑖𝑗	PROPN
brj-24265	155	17	)	)	PUNCT
brj-24265	155	18	denotes	denote	VERB
brj-24265	155	19	the	the	DET
brj-24265	155	20	normalized	normalized	ADJ
brj-24265	155	21	importance	importance	NOUN
brj-24265	155	22	of	of	ADP
brj-24265	155	23	variable	variable	ADJ
brj-24265	155	24	i	i	PRON
brj-24265	155	25	in	in	ADP
brj-24265	155	26	the	the	DET
brj-24265	155	27	rf	rf	ADJ
brj-24265	155	28	model	model	NOUN
brj-24265	155	29	,	,	PUNCT
brj-24265	155	30	and	and	CCONJ
brj-24265	155	31	t	t	PROPN
brj-24265	155	32	represents	represent	VERB
brj-24265	155	33	the	the	DET
brj-24265	155	34	total	total	ADJ
brj-24265	155	35	number	number	NOUN
brj-24265	155	36	of	of	ADP
brj-24265	155	37	dts	dts	NOUN
brj-24265	155	38	.	.	PUNCT
brj-24265	156	1	the	the	DET
brj-24265	156	2	selected	select	VERB
brj-24265	156	3	features	feature	NOUN
brj-24265	156	4	related	relate	VERB
brj-24265	156	5	to	to	ADP
brj-24265	156	6	periodic	periodic	ADJ
brj-24265	156	7	marks	mark	NOUN
brj-24265	156	8	,	,	PUNCT
brj-24265	156	9	such	such	ADJ
brj-24265	156	10	as	as	ADP
brj-24265	156	11	their	their	PRON
brj-24265	156	12	angle	angle	NOUN
brj-24265	156	13	and	and	CCONJ
brj-24265	156	14	step	step	NOUN
brj-24265	156	15	(	(	PUNCT
brj-24265	156	16	fig	fig	NOUN
brj-24265	156	17	.	.	PUNCT
brj-24265	156	18	1	1	NUM
brj-24265	156	19	)	)	PUNCT
brj-24265	156	20	,	,	PUNCT
brj-24265	156	21	were	be	AUX
brj-24265	156	22	employed	employ	VERB
brj-24265	156	23	to	to	PART
brj-24265	156	24	develop	develop	VERB
brj-24265	156	25	a	a	DET
brj-24265	156	26	simple	simple	ADJ
brj-24265	156	27	method	method	NOUN
brj-24265	156	28	for	for	ADP
brj-24265	156	29	printing	print	VERB
brj-24265	156	30	paper	paper	NOUN
brj-24265	156	31	dating	date	VERB
brj-24265	156	32	.	.	PUNCT
brj-24265	157	1	results	result	NOUN
brj-24265	157	2	and	and	CCONJ
brj-24265	157	3	discussion	discussion	NOUN
brj-24265	157	4	step	step	NOUN
brj-24265	157	5	and	and	CCONJ
brj-24265	157	6	angle	angle	NOUN
brj-24265	157	7	of	of	ADP
brj-24265	157	8	periodic	periodic	ADJ
brj-24265	157	9	marks	mark	NOUN
brj-24265	157	10	on	on	ADP
brj-24265	157	11	printing	print	VERB
brj-24265	157	12	paper	paper	NOUN
brj-24265	157	13	tables	table	NOUN
brj-24265	157	14	2	2	NUM
brj-24265	157	15	and	and	CCONJ
brj-24265	157	16	3	3	NUM
brj-24265	157	17	present	present	VERB
brj-24265	157	18	the	the	DET
brj-24265	157	19	step	step	NOUN
brj-24265	157	20	and	and	CCONJ
brj-24265	157	21	angle	angle	NOUN
brj-24265	157	22	data	datum	NOUN
brj-24265	157	23	of	of	ADP
brj-24265	157	24	the	the	DET
brj-24265	157	25	periodic	periodic	ADJ
brj-24265	157	26	marks	mark	NOUN
brj-24265	157	27	on	on	ADP
brj-24265	157	28	paper	paper	NOUN
brj-24265	157	29	from	from	ADP
brj-24265	157	30	a	a	DET
brj-24265	157	31	single	single	ADJ
brj-24265	157	32	measurement	measurement	NOUN
brj-24265	157	33	.	.	PUNCT
brj-24265	158	1	for	for	ADP
brj-24265	158	2	the	the	DET
brj-24265	158	3	step	step	NOUN
brj-24265	158	4	and	and	CCONJ
brj-24265	158	5	angle	angle	NOUN
brj-24265	158	6	data	datum	NOUN
brj-24265	158	7	at	at	ADP
brj-24265	158	8	the	the	DET
brj-24265	158	9	first	first	ADJ
brj-24265	158	10	two	two	NUM
brj-24265	158	11	intensity	intensity	NOUN
brj-24265	158	12	levels	level	NOUN
brj-24265	158	13	,	,	PUNCT
brj-24265	158	14	no	no	DET
brj-24265	158	15	differences	difference	NOUN
brj-24265	158	16	were	be	AUX
brj-24265	158	17	observed	observe	VERB
brj-24265	158	18	across	across	ADP
brj-24265	158	19	all	all	DET
brj-24265	158	20	classes	class	NOUN
brj-24265	158	21	,	,	PUNCT
brj-24265	158	22	because	because	SCONJ
brj-24265	158	23	these	these	DET
brj-24265	158	24	marks	mark	NOUN
brj-24265	158	25	were	be	AUX
brj-24265	158	26	derived	derive	VERB
brj-24265	158	27	from	from	ADP
brj-24265	158	28	the	the	DET
brj-24265	158	29	weaving	weaving	NOUN
brj-24265	158	30	patterns	pattern	NOUN
brj-24265	158	31	.	.	PUNCT
brj-24265	159	1	the	the	DET
brj-24265	159	2	weave	weave	NOUN
brj-24265	159	3	marks	mark	NOUN
brj-24265	159	4	in	in	ADP
brj-24265	159	5	the	the	DET
brj-24265	159	6	machine	machine	NOUN
brj-24265	159	7	direction	direction	NOUN
brj-24265	159	8	and	and	CCONJ
brj-24265	159	9	the	the	DET
brj-24265	159	10	cross	cross	NOUN
brj-24265	159	11	direction	direction	NOUN
brj-24265	159	12	of	of	ADP
brj-24265	159	13	the	the	DET
brj-24265	159	14	paper	paper	NOUN
brj-24265	159	15	machine	machine	NOUN
brj-24265	159	16	are	be	AUX
brj-24265	159	17	common	common	ADJ
brj-24265	159	18	features	feature	NOUN
brj-24265	159	19	found	find	VERB
brj-24265	159	20	in	in	ADP
brj-24265	159	21	all	all	DET
brj-24265	159	22	types	type	NOUN
brj-24265	159	23	of	of	ADP
brj-24265	159	24	products	product	NOUN
brj-24265	159	25	,	,	PUNCT
brj-24265	159	26	regardless	regardless	ADV
brj-24265	159	27	of	of	ADP
brj-24265	159	28	the	the	DET
brj-24265	159	29	manufacturer	manufacturer	NOUN
brj-24265	159	30	or	or	CCONJ
brj-24265	159	31	manufacturing	manufacturing	NOUN
brj-24265	159	32	date	date	NOUN
brj-24265	159	33	.	.	PUNCT
brj-24265	160	1	angles	angle	NOUN
brj-24265	160	2	of	of	ADP
brj-24265	160	3	180	180	NUM
brj-24265	160	4	°	°	NOUN
brj-24265	160	5	,	,	PUNCT
brj-24265	160	6	360	360	NUM
brj-24265	160	7	°	°	NOUN
brj-24265	160	8	,	,	PUNCT
brj-24265	160	9	and	and	CCONJ
brj-24265	160	10	90	90	NUM
brj-24265	160	11	°	°	NOUN
brj-24265	160	12	were	be	AUX
brj-24265	160	13	considered	consider	VERB
brj-24265	160	14	in	in	ADP
brj-24265	160	15	these	these	DET
brj-24265	160	16	cases	case	NOUN
brj-24265	160	17	.	.	PUNCT
brj-24265	161	1	however	however	ADV
brj-24265	161	2	,	,	PUNCT
brj-24265	161	3	unique	unique	ADJ
brj-24265	161	4	steps	step	NOUN
brj-24265	161	5	and	and	CCONJ
brj-24265	161	6	angles	angle	NOUN
brj-24265	161	7	,	,	PUNCT
brj-24265	161	8	particularly	particularly	ADV
brj-24265	161	9	at	at	ADP
brj-24265	161	10	the	the	DET
brj-24265	161	11	third	third	ADJ
brj-24265	161	12	intensity	intensity	NOUN
brj-24265	161	13	level	level	NOUN
brj-24265	161	14	,	,	PUNCT
brj-24265	161	15	depend	depend	VERB
brj-24265	161	16	on	on	ADP
brj-24265	161	17	the	the	DET
brj-24265	161	18	forming	form	VERB
brj-24265	161	19	fabrics	fabric	NOUN
brj-24265	161	20	used	use	VERB
brj-24265	161	21	or	or	CCONJ
brj-24265	161	22	the	the	DET
brj-24265	161	23	papermaking	papermaking	NOUN
brj-24265	161	24	process	process	NOUN
brj-24265	161	25	(	(	PUNCT
brj-24265	161	26	jeong	jeong	PROPN
brj-24265	161	27	et	et	PROPN
brj-24265	161	28	al	al	PROPN
brj-24265	161	29	.	.	PROPN
brj-24265	161	30	2024a	2024a	NUM
brj-24265	161	31	,	,	PUNCT
brj-24265	161	32	b	b	NOUN
brj-24265	161	33	;	;	PUNCT
brj-24265	161	34	lee	lee	PROPN
brj-24265	161	35	et	et	PROPN
brj-24265	161	36	al	al	PROPN
brj-24265	161	37	.	.	PROPN
brj-24265	161	38	2024c	2024c	NUM
brj-24265	161	39	)	)	PUNCT
brj-24265	161	40	.	.	PUNCT
brj-24265	162	1	for	for	ADP
brj-24265	162	2	example	example	NOUN
brj-24265	162	3	,	,	PUNCT
brj-24265	162	4	a	a	DET
brj-24265	162	5	step	step	NOUN
brj-24265	162	6	of	of	ADP
brj-24265	162	7	1.60	1.60	NUM
brj-24265	162	8	mm	mm	NOUN
brj-24265	162	9	and	and	CCONJ
brj-24265	162	10	an	an	DET
brj-24265	162	11	angle	angle	NOUN
brj-24265	162	12	of	of	ADP
brj-24265	162	13	132.5	132.5	NUM
brj-24265	162	14	°	°	NOUN
brj-24265	162	15	represent	represent	VERB
brj-24265	162	16	the	the	DET
brj-24265	162	17	distinctive	distinctive	ADJ
brj-24265	162	18	characteristics	characteristic	NOUN
brj-24265	162	19	of	of	ADP
brj-24265	162	20	sample	sample	NOUN
brj-24265	162	21	h202103	h202103	NOUN
brj-24265	162	22	.	.	PROPN
brj-24265	162	23	therefore	therefore	ADV
brj-24265	162	24	,	,	PUNCT
brj-24265	162	25	these	these	DET
brj-24265	162	26	features	feature	NOUN
brj-24265	162	27	are	be	AUX
brj-24265	162	28	considered	consider	VERB
brj-24265	162	29	significant	significant	ADJ
brj-24265	162	30	for	for	ADP
brj-24265	162	31	forensic	forensic	ADJ
brj-24265	162	32	document	document	NOUN
brj-24265	162	33	examination	examination	NOUN
brj-24265	162	34	.	.	PUNCT
brj-24265	163	1	from	from	ADP
brj-24265	163	2	this	this	DET
brj-24265	163	3	perspective	perspective	NOUN
brj-24265	163	4	,	,	PUNCT
brj-24265	163	5	it	it	PRON
brj-24265	163	6	can	can	AUX
brj-24265	163	7	be	be	AUX
brj-24265	163	8	hypothesized	hypothesize	VERB
brj-24265	163	9	that	that	SCONJ
brj-24265	163	10	if	if	SCONJ
brj-24265	163	11	document	document	NOUN
brj-24265	163	12	paper	paper	NOUN
brj-24265	163	13	can	can	AUX
brj-24265	163	14	be	be	AUX
brj-24265	163	15	differentiated	differentiate	VERB
brj-24265	163	16	based	base	VERB
brj-24265	163	17	on	on	ADP
brj-24265	163	18	the	the	DET
brj-24265	163	19	step	step	NOUN
brj-24265	163	20	and	and	CCONJ
brj-24265	163	21	angle	angle	NOUN
brj-24265	163	22	values	value	NOUN
brj-24265	163	23	at	at	ADP
brj-24265	163	24	three	three	NUM
brj-24265	163	25	,	,	PUNCT
brj-24265	163	26	four	four	NUM
brj-24265	163	27	,	,	PUNCT
brj-24265	163	28	or	or	CCONJ
brj-24265	163	29	five	five	NUM
brj-24265	163	30	specific	specific	ADJ
brj-24265	163	31	intensity	intensity	NOUN
brj-24265	163	32	levels	level	NOUN
brj-24265	163	33	,	,	PUNCT
brj-24265	163	34	then	then	ADV
brj-24265	163	35	a	a	DET
brj-24265	163	36	univariate	univariate	ADJ
brj-24265	163	37	method	method	NOUN
brj-24265	163	38	could	could	AUX
brj-24265	163	39	be	be	AUX
brj-24265	163	40	developed	develop	VERB
brj-24265	163	41	.	.	PUNCT
brj-24265	164	1	in	in	ADP
brj-24265	164	2	other	other	ADJ
brj-24265	164	3	words	word	NOUN
brj-24265	164	4	,	,	PUNCT
brj-24265	164	5	paper	paper	NOUN
brj-24265	164	6	samples	sample	NOUN
brj-24265	164	7	may	may	AUX
brj-24265	164	8	be	be	AUX
brj-24265	164	9	distinguishable	distinguishable	ADJ
brj-24265	164	10	by	by	ADP
brj-24265	164	11	simply	simply	ADV
brj-24265	164	12	comparing	compare	VERB
brj-24265	164	13	the	the	DET
brj-24265	164	14	step	step	NOUN
brj-24265	164	15	and	and	CCONJ
brj-24265	164	16	angle	angle	NOUN
brj-24265	164	17	at	at	ADP
brj-24265	164	18	selected	select	VERB
brj-24265	164	19	intensity	intensity	NOUN
brj-24265	164	20	levels	level	NOUN
brj-24265	164	21	.	.	PUNCT
brj-24265	165	1	table	table	NOUN
brj-24265	165	2	2	2	NUM
brj-24265	165	3	.	.	PUNCT
brj-24265	165	4	steps	step	NOUN
brj-24265	165	5	(	(	PUNCT
brj-24265	165	6	mm	mm	NOUN
brj-24265	165	7	)	)	PUNCT
brj-24265	165	8	of	of	ADP
brj-24265	165	9	periodic	periodic	ADJ
brj-24265	165	10	marks	mark	NOUN
brj-24265	165	11	on	on	ADP
brj-24265	165	12	paper	paper	NOUN
brj-24265	165	13	at	at	ADP
brj-24265	165	14	the	the	DET
brj-24265	165	15	top	top	ADJ
brj-24265	165	16	ten	ten	NUM
brj-24265	165	17	intensities	intensity	NOUN
brj-24265	165	18	no	no	INTJ
brj-24265	165	19	.	.	PUNCT
brj-24265	166	1	step	step	NOUN
brj-24265	166	2	1	1	NUM
brj-24265	166	3	step	step	NOUN
brj-24265	166	4	2	2	NUM
brj-24265	166	5	step	step	NOUN
brj-24265	166	6	3	3	NUM
brj-24265	166	7	step	step	NOUN
brj-24265	166	8	4	4	NUM
brj-24265	166	9	step	step	NOUN
brj-24265	166	10	5	5	NUM
brj-24265	166	11	step	step	NOUN
brj-24265	166	12	6	6	NUM
brj-24265	166	13	step	step	NOUN
brj-24265	166	14	7	7	NUM
brj-24265	166	15	step	step	NOUN
brj-24265	166	16	8	8	NUM
brj-24265	166	17	step	step	NOUN
brj-24265	166	18	9	9	NUM
brj-24265	166	19	step	step	NOUN
brj-24265	166	20	10	10	NUM
brj-24265	166	21	1	1	NUM
brj-24265	166	22	1.33	1.33	NUM
brj-24265	166	23	1.33	1.33	NUM
brj-24265	166	24	1.73	1.73	NUM
brj-24265	166	25	1.64	1.64	NUM
brj-24265	166	26	3.27	3.27	NUM
brj-24265	166	27	2.90	2.90	NUM
brj-24265	166	28	2.72	2.72	NUM
brj-24265	166	29	3.18	3.18	NUM
brj-24265	166	30	2.00	2.00	NUM
brj-24265	166	31	2.35	2.35	NUM
brj-24265	166	32	2	2	NUM
brj-24265	166	33	1.32	1.32	NUM
brj-24265	166	34	1.32	1.32	NUM
brj-24265	166	35	1.70	1.70	NUM
brj-24265	166	36	1.72	1.72	NUM
brj-24265	166	37	1.12	1.12	NUM
brj-24265	166	38	1.64	1.64	NUM
brj-24265	166	39	3.34	3.34	NUM
brj-24265	166	40	3.29	3.29	NUM
brj-24265	166	41	2.85	2.85	NUM
brj-24265	166	42	2.60	2.60	NUM
brj-24265	166	43	3	3	NUM
brj-24265	166	44	1.32	1.32	NUM
brj-24265	166	45	1.32	1.32	NUM
brj-24265	166	46	1.60	1.60	NUM
brj-24265	166	47	1.75	1.75	NUM
brj-24265	166	48	1.26	1.26	NUM
brj-24265	166	49	2.86	2.86	NUM
brj-24265	166	50	2.24	2.24	NUM
brj-24265	166	51	2.94	2.94	NUM
brj-24265	166	52	1.84	1.84	NUM
brj-24265	166	53	2.14	2.14	NUM
brj-24265	166	54	4	4	NUM
brj-24265	166	55	1.31	1.31	NUM
brj-24265	166	56	1.31	1.31	NUM
brj-24265	166	57	1.61	1.61	NUM
brj-24265	166	58	3.21	3.21	NUM
brj-24265	166	59	3.04	3.04	NUM
brj-24265	166	60	1.73	1.73	NUM
brj-24265	166	61	3.13	3.13	NUM
brj-24265	166	62	2.90	2.90	NUM
brj-24265	166	63	2.25	2.25	NUM
brj-24265	166	64	3.06	3.06	NUM
brj-24265	166	65	5	5	NUM
brj-24265	166	66	1.32	1.32	NUM
brj-24265	166	67	1.32	1.32	NUM
brj-24265	166	68	1.09	1.09	NUM
brj-24265	166	69	1.27	1.27	NUM
brj-24265	166	70	3.29	3.29	NUM
brj-24265	166	71	2.18	2.18	NUM
brj-24265	166	72	2.80	2.80	NUM
brj-24265	166	73	1.53	1.53	NUM
brj-24265	166	74	1.38	1.38	NUM
brj-24265	166	75	3.01	3.01	NUM
brj-24265	166	76	6	6	NUM
brj-24265	166	77	1.32	1.32	NUM
brj-24265	166	78	1.32	1.32	NUM
brj-24265	166	79	1.66	1.66	NUM
brj-24265	166	80	1.25	1.25	NUM
brj-24265	166	81	1.13	1.13	NUM
brj-24265	166	82	3.30	3.30	NUM
brj-24265	166	83	3.12	3.12	NUM
brj-24265	166	84	3.18	3.18	NUM
brj-24265	166	85	2.59	2.59	NUM
brj-24265	166	86	2.68	2.68	NUM
brj-24265	166	87	7	7	NUM
brj-24265	166	88	1.32	1.32	NUM
brj-24265	166	89	1.32	1.32	NUM
brj-24265	166	90	1.56	1.56	NUM
brj-24265	166	91	2.90	2.90	NUM
brj-24265	166	92	3.26	3.26	NUM
brj-24265	166	93	3.32	3.32	NUM
brj-24265	166	94	2.18	2.18	NUM
brj-24265	166	95	2.76	2.76	NUM
brj-24265	166	96	2.82	2.82	NUM
brj-24265	166	97	3.07	3.07	NUM
brj-24265	166	98	8	8	NUM
brj-24265	166	99	1.31	1.31	NUM
brj-24265	166	100	1.31	1.31	NUM
brj-24265	166	101	1.66	1.66	NUM
brj-24265	166	102	1.73	1.73	NUM
brj-24265	166	103	1.11	1.11	NUM
brj-24265	166	104	3.09	3.09	NUM
brj-24265	166	105	2.29	2.29	NUM
brj-24265	166	106	1.57	1.57	NUM
brj-24265	166	107	2.24	2.24	NUM
brj-24265	166	108	1.77	1.77	NUM
brj-24265	166	109	9	9	NUM
brj-24265	166	110	1.31	1.31	NUM
brj-24265	166	111	1.32	1.32	NUM
brj-24265	166	112	1.76	1.76	NUM
brj-24265	166	113	3.07	3.07	NUM
brj-24265	166	114	1.21	1.21	NUM
brj-24265	166	115	2.41	2.41	NUM
brj-24265	166	116	2.58	2.58	NUM
brj-24265	166	117	2.47	2.47	NUM
brj-24265	166	118	1.13	1.13	NUM
brj-24265	166	119	3.02	3.02	NUM
brj-24265	166	120	10	10	NUM
brj-24265	166	121	1.32	1.32	NUM
brj-24265	166	122	1.32	1.32	NUM
brj-24265	166	123	3.26	3.26	NUM
brj-24265	166	124	2.90	2.90	NUM
brj-24265	166	125	2.83	2.83	NUM
brj-24265	166	126	2.14	2.14	NUM
brj-24265	166	127	2.48	2.48	NUM
brj-24265	166	128	1.61	1.61	NUM
brj-24265	166	129	2.31	2.31	NUM
brj-24265	166	130	2.50	2.50	NUM
brj-24265	166	131	11	11	NUM
brj-24265	166	132	1.31	1.31	NUM
brj-24265	166	133	1.31	1.31	NUM
brj-24265	166	134	1.64	1.64	NUM
brj-24265	166	135	3.16	3.16	NUM
brj-24265	166	136	3.17	3.17	NUM
brj-24265	166	137	1.89	1.89	NUM
brj-24265	166	138	2.35	2.35	NUM
brj-24265	166	139	2.94	2.94	NUM
brj-24265	166	140	2.94	2.94	NUM
brj-24265	166	141	2.61	2.61	NUM
brj-24265	166	142	12	12	NUM
brj-24265	166	143	1.32	1.32	NUM
brj-24265	166	144	1.32	1.32	NUM
brj-24265	166	145	1.64	1.64	NUM
brj-24265	166	146	1.68	1.68	NUM
brj-24265	166	147	3.29	3.29	NUM
brj-24265	166	148	2.94	2.94	NUM
brj-24265	166	149	3.21	3.21	NUM
brj-24265	166	150	3.10	3.10	NUM
brj-24265	166	151	2.88	2.88	NUM
brj-24265	166	152	1.60	1.60	NUM
brj-24265	166	153	1	1	NUM
brj-24265	166	154	,	,	PUNCT
brj-24265	166	155	h202009	h202009	NUM
brj-24265	166	156	;	;	PUNCT
brj-24265	166	157	2	2	NUM
brj-24265	166	158	,	,	PUNCT
brj-24265	166	159	h202012	h202012	PROPN
brj-24265	166	160	;	;	PUNCT
brj-24265	166	161	3	3	NUM
brj-24265	166	162	,	,	PUNCT
brj-24265	166	163	h202103	h202103	PROPN
brj-24265	166	164	;	;	PUNCT
brj-24265	166	165	4	4	NUM
brj-24265	166	166	,	,	PUNCT
brj-24265	166	167	h202106	h202106	NOUN
brj-24265	166	168	;	;	PUNCT
brj-24265	166	169	5	5	NUM
brj-24265	166	170	,	,	PUNCT
brj-24265	166	171	h202109	h202109	ADJ
brj-24265	166	172	;	;	PUNCT
brj-24265	166	173	6	6	NUM
brj-24265	166	174	,	,	PUNCT
brj-24265	166	175	202112	202112	NUM
brj-24265	166	176	;	;	PUNCT
brj-24265	166	177	7	7	NUM
brj-24265	166	178	,	,	PUNCT
brj-24265	166	179	h202204	h202204	NOUN
brj-24265	166	180	;	;	PUNCT
brj-24265	166	181	8	8	NUM
brj-24265	166	182	,	,	PUNCT
brj-24265	166	183	h202206	h202206	NOUN
brj-24265	166	184	;	;	PUNCT
brj-24265	166	185	9	9	NUM
brj-24265	166	186	,	,	PUNCT
brj-24265	166	187	h202210	h202210	PROPN
brj-24265	166	188	;	;	PUNCT
brj-24265	166	189	10	10	NUM
brj-24265	166	190	,	,	PUNCT
brj-24265	166	191	h202301	h202301	NOUN
brj-24265	166	192	;	;	PUNCT
brj-24265	166	193	11	11	NUM
brj-24265	166	194	,	,	PUNCT
brj-24265	166	195	h202304	h202304	PROPN
brj-24265	166	196	;	;	PUNCT
brj-24265	166	197	12	12	NUM
brj-24265	166	198	,	,	PUNCT
brj-24265	166	199	h202307	h202307	PROPN
brj-24265	166	200	peer	peer	NOUN
brj-24265	166	201	-	-	PUNCT
brj-24265	166	202	reviewed	review	VERB
brj-24265	166	203	article	article	NOUN
brj-24265	166	204	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24265	166	205	lee	lee	PROPN
brj-24265	166	206	et	et	PROPN
brj-24265	166	207	al	al	PROPN
brj-24265	166	208	.	.	PROPN
brj-24265	167	1	(	(	PUNCT
brj-24265	167	2	2025	2025	NUM
brj-24265	167	3	)	)	PUNCT
brj-24265	167	4	.	.	PUNCT
brj-24265	168	1	“	"	PUNCT
brj-24265	168	2	wire	wire	NOUN
brj-24265	168	3	-	-	PUNCT
brj-24265	168	4	mark	mark	NOUN
brj-24265	168	5	analysis	analysis	NOUN
brj-24265	168	6	of	of	ADP
brj-24265	168	7	paper	paper	NOUN
brj-24265	168	8	,	,	PUNCT
brj-24265	168	9	”	"	PUNCT
brj-24265	168	10	bioresources	bioresource	VERB
brj-24265	168	11	20(4	20(4	NOUN
brj-24265	168	12	)	)	PUNCT
brj-24265	168	13	,	,	PUNCT
brj-24265	168	14	9208	9208	NUM
brj-24265	168	15	-	-	SYM
brj-24265	168	16	9225	9225	NUM
brj-24265	168	17	.	.	PUNCT
brj-24265	169	1	9216	9216	NUM
brj-24265	169	2	table	table	NOUN
brj-24265	169	3	3	3	NUM
brj-24265	169	4	.	.	PUNCT
brj-24265	170	1	angles	angle	NOUN
brj-24265	170	2	(	(	PUNCT
brj-24265	170	3	°	°	NOUN
brj-24265	170	4	)	)	PUNCT
brj-24265	170	5	of	of	ADP
brj-24265	170	6	periodic	periodic	ADJ
brj-24265	170	7	marks	mark	NOUN
brj-24265	170	8	on	on	ADP
brj-24265	170	9	paper	paper	NOUN
brj-24265	170	10	at	at	ADP
brj-24265	170	11	the	the	DET
brj-24265	170	12	top	top	ADJ
brj-24265	170	13	ten	ten	NUM
brj-24265	170	14	intensities	intensity	NOUN
brj-24265	170	15	no	no	INTJ
brj-24265	170	16	.	.	PUNCT
brj-24265	171	1	angle	angle	NOUN
brj-24265	171	2	1	1	NUM
brj-24265	171	3	angle	angle	NOUN
brj-24265	171	4	2	2	NUM
brj-24265	171	5	angle	angle	NOUN
brj-24265	171	6	3	3	NUM
brj-24265	171	7	angle	angle	NOUN
brj-24265	171	8	4	4	NUM
brj-24265	171	9	angle	angle	NOUN
brj-24265	171	10	5	5	NUM
brj-24265	171	11	angle	angle	NOUN
brj-24265	171	12	6	6	NUM
brj-24265	171	13	angle	angle	NOUN
brj-24265	171	14	7	7	NUM
brj-24265	171	15	angle	angle	NOUN
brj-24265	171	16	8	8	NUM
brj-24265	171	17	angle	angle	NOUN
brj-24265	171	18	9	9	NUM
brj-24265	171	19	angle	angle	NOUN
brj-24265	171	20	10	10	NUM
brj-24265	171	21	1	1	NUM
brj-24265	171	22	179.4	179.4	NUM
brj-24265	171	23	360.0	360.0	NUM
brj-24265	171	24	52.7	52.7	NUM
brj-24265	171	25	130.8	130.8	NUM
brj-24265	171	26	94.4	94.4	NUM
brj-24265	171	27	174.8	174.8	NUM
brj-24265	171	28	128.1	128.1	NUM
brj-24265	171	29	23.4	23.4	NUM
brj-24265	171	30	170.9	170.9	NUM
brj-24265	171	31	166.2	166.2	NUM
brj-24265	171	32	2	2	NUM
brj-24265	171	33	179.4	179.4	NUM
brj-24265	171	34	360.0	360.0	NUM
brj-24265	171	35	130.7	130.7	NUM
brj-24265	171	36	49.9	49.9	NUM
brj-24265	171	37	90.0	90.0	NUM
brj-24265	171	38	175.6	175.6	NUM
brj-24265	171	39	172.5	172.5	NUM
brj-24265	171	40	29.2	29.2	NUM
brj-24265	171	41	129.8	129.8	NUM
brj-24265	171	42	120.6	120.6	NUM
brj-24265	171	43	3	3	NUM
brj-24265	171	44	179.4	179.4	NUM
brj-24265	171	45	360.0	360.0	NUM
brj-24265	171	46	132.5	132.5	NUM
brj-24265	171	47	53.9	53.9	NUM
brj-24265	171	48	100.8	100.8	NUM
brj-24265	171	49	79.7	79.7	NUM
brj-24265	171	50	19.4	19.4	NUM
brj-24265	171	51	147.4	147.4	NUM
brj-24265	171	52	115.3	115.3	NUM
brj-24265	171	53	103.5	103.5	NUM
brj-24265	171	54	4	4	NUM
brj-24265	171	55	179.4	179.4	NUM
brj-24265	171	56	360.0	360.0	NUM
brj-24265	171	57	131.9	131.9	NUM
brj-24265	171	58	162.5	162.5	NUM
brj-24265	171	59	72.8	72.8	NUM
brj-24265	171	60	52.7	52.7	NUM
brj-24265	171	61	94.0	94.0	NUM
brj-24265	171	62	142.4	142.4	NUM
brj-24265	171	63	74.7	74.7	NUM
brj-24265	171	64	92.2	92.2	NUM
brj-24265	171	65	5	5	NUM
brj-24265	171	66	179.4	179.4	NUM
brj-24265	171	67	360.0	360.0	NUM
brj-24265	171	68	95.4	95.4	NUM
brj-24265	171	69	100.9	100.9	NUM
brj-24265	171	70	18.0	18.0	NUM
brj-24265	171	71	115.3	115.3	NUM
brj-24265	171	72	118.8	118.8	NUM
brj-24265	171	73	117.5	117.5	NUM
brj-24265	171	74	103.9	103.9	NUM
brj-24265	171	75	66.5	66.5	NUM
brj-24265	171	76	6	6	NUM
brj-24265	171	77	179.4	179.4	NUM
brj-24265	171	78	360.0	360.0	NUM
brj-24265	171	79	132.4	132.4	NUM
brj-24265	171	80	87.8	87.8	NUM
brj-24265	171	81	93.0	93.0	NUM
brj-24265	171	82	168.1	168.1	NUM
brj-24265	171	83	54.3	54.3	NUM
brj-24265	171	84	35.2	35.2	NUM
brj-24265	172	1	31.8	31.8	NUM
brj-24265	172	2	139.7	139.7	NUM
brj-24265	172	3	7	7	NUM
brj-24265	172	4	179.4	179.4	NUM
brj-24265	172	5	360.0	360.0	NUM
brj-24265	172	6	133.0	133.0	NUM
brj-24265	172	7	5.2	5.2	NUM
brj-24265	172	8	37.8	37.8	NUM
brj-24265	172	9	58.8	58.8	NUM
brj-24265	172	10	148.2	148.2	NUM
brj-24265	172	11	36.8	36.8	NUM
brj-24265	172	12	68.3	68.3	NUM
brj-24265	172	13	110.8	110.8	NUM
brj-24265	172	14	8	8	NUM
brj-24265	172	15	179.4	179.4	NUM
brj-24265	172	16	360.0	360.0	NUM
brj-24265	172	17	47.6	47.6	NUM
brj-24265	172	18	128.4	128.4	NUM
brj-24265	172	19	87.0	87.0	NUM
brj-24265	172	20	15.4	15.4	NUM
brj-24265	172	21	104.5	104.5	NUM
brj-24265	172	22	58.1	58.1	NUM
brj-24265	172	23	94.2	94.2	NUM
brj-24265	172	24	93.6	93.6	NUM
brj-24265	172	25	9	9	NUM
brj-24265	172	26	179.4	179.4	NUM
brj-24265	172	27	360.0	360.0	NUM
brj-24265	172	28	55.7	55.7	NUM
brj-24265	172	29	120.3	120.3	NUM
brj-24265	172	30	102.6	102.6	NUM
brj-24265	172	31	142.3	142.3	NUM
brj-24265	172	32	75.8	75.8	NUM
brj-24265	172	33	109.9	109.9	NUM
brj-24265	172	34	94.3	94.3	NUM
brj-24265	172	35	6.1	6.1	NUM
brj-24265	172	36	10	10	NUM
brj-24265	172	37	179.4	179.4	NUM
brj-24265	172	38	360.0	360.0	NUM
brj-24265	172	39	127.8	127.8	NUM
brj-24265	172	40	95.2	95.2	NUM
brj-24265	172	41	55.2	55.2	NUM
brj-24265	172	42	122.8	122.8	NUM
brj-24265	172	43	89.0	89.0	NUM
brj-24265	172	44	63.1	63.1	NUM
brj-24265	172	45	110.7	110.7	NUM
brj-24265	172	46	174.4	174.4	NUM
brj-24265	172	47	11	11	NUM
brj-24265	172	48	179.4	179.4	NUM
brj-24265	172	49	360.0	360.0	NUM
brj-24265	172	50	129.8	129.8	NUM
brj-24265	172	51	40.0	40.0	NUM
brj-24265	172	52	132.0	132.0	NUM
brj-24265	172	53	90.9	90.9	NUM
brj-24265	172	54	105.3	105.3	NUM
brj-24265	172	55	105.4	105.4	NUM
brj-24265	172	56	56.3	56.3	NUM
brj-24265	172	57	115.7	115.7	NUM
brj-24265	172	58	12	12	NUM
brj-24265	172	59	179.4	179.4	NUM
brj-24265	172	60	360.0	360.0	NUM
brj-24265	172	61	129.8	129.8	NUM
brj-24265	172	62	51.9	51.9	NUM
brj-24265	172	63	72.0	72.0	NUM
brj-24265	172	64	99.3	99.3	NUM
brj-24265	172	65	78.1	78.1	NUM
brj-24265	172	66	102.8	102.8	NUM
brj-24265	172	67	148.8	148.8	NUM
brj-24265	172	68	96.6	96.6	NUM
brj-24265	172	69	1	1	NUM
brj-24265	172	70	,	,	PUNCT
brj-24265	172	71	h202009	h202009	NUM
brj-24265	172	72	;	;	PUNCT
brj-24265	172	73	2	2	NUM
brj-24265	172	74	,	,	PUNCT
brj-24265	172	75	h202012	h202012	PROPN
brj-24265	172	76	;	;	PUNCT
brj-24265	172	77	3	3	NUM
brj-24265	172	78	,	,	PUNCT
brj-24265	172	79	h202103	h202103	PROPN
brj-24265	172	80	;	;	PUNCT
brj-24265	172	81	4	4	NUM
brj-24265	172	82	,	,	PUNCT
brj-24265	172	83	h202106	h202106	NOUN
brj-24265	172	84	;	;	PUNCT
brj-24265	172	85	5	5	NUM
brj-24265	172	86	,	,	PUNCT
brj-24265	172	87	h202109	h202109	ADJ
brj-24265	172	88	;	;	PUNCT
brj-24265	172	89	6	6	NUM
brj-24265	172	90	,	,	PUNCT
brj-24265	172	91	202112	202112	NUM
brj-24265	172	92	;	;	PUNCT
brj-24265	172	93	7	7	NUM
brj-24265	172	94	,	,	PUNCT
brj-24265	172	95	h202204	h202204	NOUN
brj-24265	172	96	;	;	PUNCT
brj-24265	172	97	8	8	NUM
brj-24265	172	98	,	,	PUNCT
brj-24265	172	99	h202206	h202206	NOUN
brj-24265	172	100	;	;	PUNCT
brj-24265	172	101	9	9	NUM
brj-24265	172	102	,	,	PUNCT
brj-24265	172	103	h202210	h202210	PROPN
brj-24265	172	104	;	;	PUNCT
brj-24265	172	105	10	10	NUM
brj-24265	172	106	,	,	PUNCT
brj-24265	172	107	h202301	h202301	NOUN
brj-24265	172	108	;	;	PUNCT
brj-24265	172	109	11	11	NUM
brj-24265	172	110	,	,	PUNCT
brj-24265	172	111	h202304	h202304	PROPN
brj-24265	172	112	;	;	PUNCT
brj-24265	172	113	12	12	NUM
brj-24265	172	114	,	,	PUNCT
brj-24265	172	115	h202307	h202307	NOUN
brj-24265	172	116	pca	pca	PROPN
brj-24265	172	117	and	and	CCONJ
brj-24265	172	118	outlier	outlier	NOUN
brj-24265	172	119	detection	detection	NOUN
brj-24265	172	120	of	of	ADP
brj-24265	172	121	step	step	NOUN
brj-24265	172	122	and	and	CCONJ
brj-24265	172	123	angle	angle	NOUN
brj-24265	172	124	figure	figure	NOUN
brj-24265	172	125	2	2	NUM
brj-24265	172	126	shows	show	VERB
brj-24265	172	127	pair	pair	NOUN
brj-24265	172	128	plots	plot	NOUN
brj-24265	172	129	of	of	ADP
brj-24265	172	130	pc	pc	NOUN
brj-24265	172	131	scores	score	NOUN
brj-24265	172	132	projected	project	VERB
brj-24265	172	133	by	by	ADP
brj-24265	172	134	clustering	cluster	VERB
brj-24265	172	135	using	use	VERB
brj-24265	172	136	the	the	DET
brj-24265	172	137	dbscan	dbscan	ADJ
brj-24265	172	138	algorithm	algorithm	NOUN
brj-24265	172	139	on	on	ADP
brj-24265	172	140	step	step	NOUN
brj-24265	172	141	and	and	CCONJ
brj-24265	172	142	angle	angle	NOUN
brj-24265	172	143	data	datum	NOUN
brj-24265	172	144	with	with	ADP
brj-24265	172	145	outliers	outlier	NOUN
brj-24265	172	146	.	.	PUNCT
brj-24265	173	1	the	the	DET
brj-24265	173	2	dbscan	dbscan	PROPN
brj-24265	173	3	algorithm	algorithm	PROPN
brj-24265	173	4	detected	detect	VERB
brj-24265	173	5	34	34	NUM
brj-24265	173	6	outlier	outlier	NOUN
brj-24265	173	7	data	datum	NOUN
brj-24265	173	8	points	point	NOUN
brj-24265	173	9	.	.	PUNCT
brj-24265	174	1	as	as	SCONJ
brj-24265	174	2	shown	show	VERB
brj-24265	174	3	in	in	ADP
brj-24265	174	4	the	the	DET
brj-24265	174	5	pair	pair	NOUN
brj-24265	174	6	plots	plot	NOUN
brj-24265	174	7	,	,	PUNCT
brj-24265	174	8	the	the	DET
brj-24265	174	9	detected	detect	VERB
brj-24265	174	10	data	data	NOUN
brj-24265	174	11	points	point	NOUN
brj-24265	174	12	were	be	AUX
brj-24265	174	13	not	not	PART
brj-24265	174	14	grouped	group	VERB
brj-24265	174	15	into	into	ADP
brj-24265	174	16	any	any	DET
brj-24265	174	17	clusters	cluster	NOUN
brj-24265	174	18	and	and	CCONJ
brj-24265	174	19	were	be	AUX
brj-24265	174	20	located	locate	VERB
brj-24265	174	21	far	far	ADV
brj-24265	174	22	away	away	ADV
brj-24265	174	23	.	.	PUNCT
brj-24265	175	1	the	the	DET
brj-24265	175	2	detected	detect	VERB
brj-24265	175	3	outliers	outlier	NOUN
brj-24265	175	4	comprised	comprise	VERB
brj-24265	175	5	four	four	NUM
brj-24265	175	6	from	from	ADP
brj-24265	175	7	h202009	h202009	NUM
brj-24265	175	8	,	,	PUNCT
brj-24265	175	9	six	six	NUM
brj-24265	175	10	from	from	ADP
brj-24265	175	11	h202009	h202009	NUM
brj-24265	175	12	,	,	PUNCT
brj-24265	175	13	one	one	NUM
brj-24265	175	14	from	from	ADP
brj-24265	175	15	h202106	h202106	NOUN
brj-24265	175	16	,	,	PUNCT
brj-24265	175	17	three	three	NUM
brj-24265	175	18	from	from	ADP
brj-24265	175	19	h202112	h202112	PROPN
brj-24265	175	20	,	,	PUNCT
brj-24265	175	21	three	three	NUM
brj-24265	175	22	from	from	ADP
brj-24265	175	23	h202204	h202204	NOUN
brj-24265	175	24	,	,	PUNCT
brj-24265	175	25	two	two	NUM
brj-24265	175	26	from	from	ADP
brj-24265	175	27	h202206	h202206	PROPN
brj-24265	175	28	,	,	PUNCT
brj-24265	175	29	eight	eight	NUM
brj-24265	175	30	from	from	ADP
brj-24265	175	31	h202210	h202210	PROPN
brj-24265	175	32	,	,	PUNCT
brj-24265	175	33	one	one	NUM
brj-24265	175	34	from	from	ADP
brj-24265	175	35	h202301	h202301	PROPN
brj-24265	175	36	,	,	PUNCT
brj-24265	175	37	two	two	NUM
brj-24265	175	38	from	from	ADP
brj-24265	175	39	h202304	h202304	PROPN
brj-24265	175	40	,	,	PUNCT
brj-24265	175	41	and	and	CCONJ
brj-24265	175	42	four	four	NUM
brj-24265	175	43	from	from	ADP
brj-24265	175	44	m202307	m202307	PROPN
brj-24265	175	45	.	.	PUNCT
brj-24265	176	1	the	the	DET
brj-24265	176	2	detected	detect	VERB
brj-24265	176	3	outliers	outlier	NOUN
brj-24265	176	4	were	be	AUX
brj-24265	176	5	removed	remove	VERB
brj-24265	176	6	from	from	ADP
brj-24265	176	7	the	the	DET
brj-24265	176	8	dataset	dataset	NOUN
brj-24265	176	9	.	.	PUNCT
brj-24265	177	1	consequently	consequently	ADV
brj-24265	177	2	,	,	PUNCT
brj-24265	177	3	the	the	DET
brj-24265	177	4	dataset	dataset	NOUN
brj-24265	177	5	became	become	VERB
brj-24265	177	6	an	an	DET
brj-24265	177	7	imbalanced	imbalanced	ADJ
brj-24265	177	8	dataset	dataset	NOUN
brj-24265	177	9	.	.	PUNCT
brj-24265	178	1	the	the	DET
brj-24265	178	2	effect	effect	NOUN
brj-24265	178	3	of	of	ADP
brj-24265	178	4	outliers	outlier	NOUN
brj-24265	178	5	on	on	ADP
brj-24265	178	6	classification	classification	NOUN
brj-24265	178	7	performance	performance	NOUN
brj-24265	178	8	was	be	AUX
brj-24265	178	9	evaluated	evaluate	VERB
brj-24265	178	10	in	in	ADP
brj-24265	178	11	the	the	DET
brj-24265	178	12	classification	classification	NOUN
brj-24265	178	13	modeling	modeling	NOUN
brj-24265	178	14	section	section	NOUN
brj-24265	178	15	.	.	PUNCT
brj-24265	179	1	figure	figure	NOUN
brj-24265	179	2	3	3	NUM
brj-24265	179	3	shows	show	VERB
brj-24265	179	4	the	the	DET
brj-24265	179	5	pc	pc	NOUN
brj-24265	179	6	score	score	NOUN
brj-24265	179	7	plots	plot	NOUN
brj-24265	179	8	of	of	ADP
brj-24265	179	9	the	the	DET
brj-24265	179	10	first	first	ADJ
brj-24265	179	11	two	two	NUM
brj-24265	179	12	pcs	pc	NOUN
brj-24265	179	13	derived	derive	VERB
brj-24265	179	14	from	from	ADP
brj-24265	179	15	the	the	DET
brj-24265	179	16	step	step	NOUN
brj-24265	179	17	and	and	CCONJ
brj-24265	179	18	angle	angle	NOUN
brj-24265	179	19	data	datum	NOUN
brj-24265	179	20	with	with	ADP
brj-24265	179	21	and	and	CCONJ
brj-24265	179	22	without	without	ADP
brj-24265	179	23	outliers	outlier	NOUN
brj-24265	179	24	.	.	PUNCT
brj-24265	180	1	in	in	ADP
brj-24265	180	2	fig	fig	NOUN
brj-24265	180	3	.	.	PUNCT
brj-24265	181	1	3a	3a	NUM
brj-24265	181	2	,	,	PUNCT
brj-24265	181	3	most	most	ADJ
brj-24265	181	4	data	datum	NOUN
brj-24265	181	5	points	point	NOUN
brj-24265	181	6	form	form	VERB
brj-24265	181	7	a	a	DET
brj-24265	181	8	large	large	ADJ
brj-24265	181	9	,	,	PUNCT
brj-24265	181	10	unified	unified	ADJ
brj-24265	181	11	cluster	cluster	NOUN
brj-24265	181	12	,	,	PUNCT
brj-24265	181	13	with	with	ADP
brj-24265	181	14	the	the	DET
brj-24265	181	15	exception	exception	NOUN
brj-24265	181	16	of	of	ADP
brj-24265	181	17	some	some	DET
brj-24265	181	18	data	datum	NOUN
brj-24265	181	19	points	point	NOUN
brj-24265	181	20	in	in	ADP
brj-24265	181	21	the	the	DET
brj-24265	181	22	pc1	pc1	PROPN
brj-24265	181	23	low	low	PROPN
brj-24265	181	24	region	region	NOUN
brj-24265	181	25	.	.	PUNCT
brj-24265	182	1	these	these	DET
brj-24265	182	2	data	datum	NOUN
brj-24265	182	3	points	point	NOUN
brj-24265	182	4	are	be	AUX
brj-24265	182	5	detected	detect	VERB
brj-24265	182	6	as	as	ADP
brj-24265	182	7	outliers	outlier	NOUN
brj-24265	182	8	in	in	ADP
brj-24265	182	9	fig	fig	NOUN
brj-24265	182	10	.	.	PUNCT
brj-24265	183	1	2	2	X
brj-24265	183	2	.	.	X
brj-24265	183	3	outliers	outlier	NOUN
brj-24265	183	4	are	be	AUX
brj-24265	183	5	not	not	PART
brj-24265	183	6	helpful	helpful	ADJ
brj-24265	183	7	relative	relative	NOUN
brj-24265	183	8	to	to	ADP
brj-24265	183	9	model	model	VERB
brj-24265	183	10	construction	construction	NOUN
brj-24265	183	11	because	because	SCONJ
brj-24265	183	12	they	they	PRON
brj-24265	183	13	add	add	VERB
brj-24265	183	14	complexity	complexity	NOUN
brj-24265	183	15	and	and	CCONJ
brj-24265	183	16	introduce	introduce	VERB
brj-24265	183	17	confusion	confusion	NOUN
brj-24265	183	18	to	to	ADP
brj-24265	183	19	the	the	DET
brj-24265	183	20	training	training	NOUN
brj-24265	183	21	process	process	NOUN
brj-24265	183	22	of	of	ADP
brj-24265	183	23	machine	machine	NOUN
brj-24265	183	24	learning	learning	NOUN
brj-24265	183	25	models	model	NOUN
brj-24265	183	26	(	(	PUNCT
brj-24265	183	27	hwang	hwang	PROPN
brj-24265	183	28	et	et	PROPN
brj-24265	183	29	al	al	PROPN
brj-24265	183	30	.	.	PROPN
brj-24265	183	31	2023	2023	NUM
brj-24265	183	32	;	;	PUNCT
brj-24265	183	33	lee	lee	PROPN
brj-24265	183	34	et	et	PROPN
brj-24265	183	35	al	al	PROPN
brj-24265	183	36	.	.	PROPN
brj-24265	183	37	2024a	2024a	NUM
brj-24265	183	38	,	,	PUNCT
brj-24265	183	39	b	b	NOUN
brj-24265	183	40	)	)	PUNCT
brj-24265	183	41	.	.	PUNCT
brj-24265	184	1	in	in	ADP
brj-24265	184	2	preparation	preparation	NOUN
brj-24265	184	3	of	of	ADP
brj-24265	184	4	fig	fig	NOUN
brj-24265	184	5	.	.	PUNCT
brj-24265	185	1	3b	3b	NUM
brj-24265	185	2	,	,	PUNCT
brj-24265	185	3	the	the	DET
brj-24265	185	4	outliers	outlier	NOUN
brj-24265	185	5	had	have	AUX
brj-24265	185	6	been	be	AUX
brj-24265	185	7	removed	remove	VERB
brj-24265	185	8	from	from	ADP
brj-24265	185	9	the	the	DET
brj-24265	185	10	dataset	dataset	NOUN
brj-24265	185	11	prior	prior	ADV
brj-24265	185	12	to	to	ADP
brj-24265	185	13	pca	pca	PROPN
brj-24265	185	14	.	.	PUNCT
brj-24265	186	1	the	the	DET
brj-24265	186	2	characteristics	characteristic	NOUN
brj-24265	186	3	of	of	ADP
brj-24265	186	4	the	the	DET
brj-24265	186	5	forming	form	VERB
brj-24265	186	6	clusters	cluster	NOUN
brj-24265	186	7	changed	change	VERB
brj-24265	186	8	due	due	ADP
brj-24265	186	9	to	to	ADP
brj-24265	186	10	outlier	outlier	NOUN
brj-24265	186	11	removal	removal	NOUN
brj-24265	186	12	.	.	PUNCT
brj-24265	187	1	the	the	DET
brj-24265	187	2	data	data	NOUN
brj-24265	187	3	points	point	NOUN
brj-24265	187	4	were	be	AUX
brj-24265	187	5	separated	separate	VERB
brj-24265	187	6	from	from	ADP
brj-24265	187	7	the	the	DET
brj-24265	187	8	large	large	ADJ
brj-24265	187	9	cluster	cluster	NOUN
brj-24265	187	10	shown	show	VERB
brj-24265	187	11	in	in	ADP
brj-24265	187	12	fig	fig	NOUN
brj-24265	187	13	.	.	PUNCT
brj-24265	188	1	3a	3a	NUM
brj-24265	188	2	and	and	CCONJ
brj-24265	188	3	grouped	group	VERB
brj-24265	188	4	into	into	ADP
brj-24265	188	5	several	several	ADJ
brj-24265	188	6	distinct	distinct	ADJ
brj-24265	188	7	clusters	cluster	NOUN
brj-24265	188	8	.	.	PUNCT
brj-24265	189	1	however	however	ADV
brj-24265	189	2	,	,	PUNCT
brj-24265	189	3	some	some	DET
brj-24265	189	4	data	data	NOUN
brj-24265	189	5	points	point	NOUN
brj-24265	189	6	were	be	AUX
brj-24265	189	7	divided	divide	VERB
brj-24265	189	8	into	into	ADP
brj-24265	189	9	two	two	NUM
brj-24265	189	10	groups	group	NOUN
brj-24265	189	11	even	even	ADV
brj-24265	189	12	though	though	SCONJ
brj-24265	189	13	the	the	DET
brj-24265	189	14	product	product	NOUN
brj-24265	189	15	was	be	AUX
brj-24265	189	16	manufactured	manufacture	VERB
brj-24265	189	17	on	on	ADP
brj-24265	189	18	the	the	DET
brj-24265	189	19	same	same	ADJ
brj-24265	189	20	date	date	NOUN
brj-24265	189	21	.	.	PUNCT
brj-24265	190	1	this	this	PRON
brj-24265	190	2	indicates	indicate	VERB
brj-24265	190	3	that	that	SCONJ
brj-24265	190	4	the	the	DET
brj-24265	190	5	paper	paper	NOUN
brj-24265	190	6	was	be	AUX
brj-24265	190	7	manufactured	manufacture	VERB
brj-24265	190	8	using	use	VERB
brj-24265	190	9	twin	twin	ADJ
brj-24265	190	10	-	-	PUNCT
brj-24265	190	11	wire	wire	NOUN
brj-24265	190	12	systems	system	NOUN
brj-24265	190	13	,	,	PUNCT
brj-24265	190	14	such	such	ADJ
brj-24265	190	15	as	as	ADP
brj-24265	190	16	hybrid	hybrid	NOUN
brj-24265	190	17	or	or	CCONJ
brj-24265	190	18	gap	gap	NOUN
brj-24265	190	19	formers	former	NOUN
brj-24265	190	20	.	.	PUNCT
brj-24265	191	1	in	in	ADP
brj-24265	191	2	the	the	DET
brj-24265	191	3	fourdrinier	fourdrinier	ADJ
brj-24265	191	4	wire	wire	NOUN
brj-24265	191	5	system	system	NOUN
brj-24265	191	6	,	,	PUNCT
brj-24265	191	7	the	the	DET
brj-24265	191	8	headbox	headbox	NOUN
brj-24265	191	9	slice	slice	NOUN
brj-24265	191	10	jet	jet	NOUN
brj-24265	191	11	impinges	impinge	VERB
brj-24265	191	12	on	on	ADP
brj-24265	191	13	a	a	DET
brj-24265	191	14	single	single	ADJ
brj-24265	191	15	forming	form	VERB
brj-24265	191	16	fabric	fabric	NOUN
brj-24265	191	17	.	.	PUNCT
brj-24265	192	1	thus	thus	ADV
brj-24265	192	2	,	,	PUNCT
brj-24265	192	3	the	the	DET
brj-24265	192	4	angle	angle	NOUN
brj-24265	192	5	in	in	ADP
brj-24265	192	6	the	the	DET
brj-24265	192	7	same	same	ADJ
brj-24265	192	8	step	step	NOUN
brj-24265	192	9	is	be	AUX
brj-24265	192	10	observed	observe	VERB
brj-24265	192	11	like	like	ADP
brj-24265	192	12	a	a	DET
brj-24265	192	13	mirror	mirror	NOUN
brj-24265	192	14	image	image	NOUN
brj-24265	192	15	on	on	ADP
brj-24265	192	16	them	they	PRON
brj-24265	192	17	.	.	PUNCT
brj-24265	193	1	such	such	ADJ
brj-24265	193	2	information	information	NOUN
brj-24265	193	3	provides	provide	VERB
brj-24265	193	4	evidence	evidence	NOUN
brj-24265	193	5	that	that	SCONJ
brj-24265	193	6	the	the	DET
brj-24265	193	7	paper	paper	NOUN
brj-24265	193	8	was	be	AUX
brj-24265	193	9	probably	probably	ADV
brj-24265	193	10	manufactured	manufacture	VERB
brj-24265	193	11	using	use	VERB
brj-24265	193	12	a	a	DET
brj-24265	193	13	fourdrinier	fourdrinier	ADJ
brj-24265	193	14	wire	wire	NOUN
brj-24265	193	15	system	system	NOUN
brj-24265	193	16	.	.	PUNCT
brj-24265	194	1	in	in	ADP
brj-24265	194	2	contrast	contrast	NOUN
brj-24265	194	3	,	,	PUNCT
brj-24265	194	4	in	in	ADP
brj-24265	194	5	a	a	DET
brj-24265	194	6	twin	twin	ADJ
brj-24265	194	7	-	-	PUNCT
brj-24265	194	8	wire	wire	NOUN
brj-24265	194	9	system	system	NOUN
brj-24265	194	10	,	,	PUNCT
brj-24265	194	11	the	the	DET
brj-24265	194	12	headbox	headbox	NOUN
brj-24265	194	13	slice	slice	NOUN
brj-24265	194	14	jet	jet	NOUN
brj-24265	194	15	impinges	impinge	VERB
brj-24265	194	16	into	into	ADP
brj-24265	194	17	the	the	DET
brj-24265	194	18	converging	converge	VERB
brj-24265	194	19	gap	gap	NOUN
brj-24265	194	20	between	between	ADP
brj-24265	194	21	the	the	DET
brj-24265	194	22	two	two	NUM
brj-24265	194	23	forming	form	VERB
brj-24265	194	24	fabrics	fabric	NOUN
brj-24265	194	25	(	(	PUNCT
brj-24265	194	26	jeong	jeong	PROPN
brj-24265	194	27	et	et	PROPN
brj-24265	194	28	al	al	PROPN
brj-24265	194	29	.	.	PROPN
brj-24265	194	30	2024a	2024a	NUM
brj-24265	194	31	,	,	PUNCT
brj-24265	194	32	b	b	NOUN
brj-24265	194	33	;	;	PUNCT
brj-24265	194	34	smook	smook	NOUN
brj-24265	194	35	2002	2002	NUM
brj-24265	194	36	)	)	PUNCT
brj-24265	194	37	.	.	PUNCT
brj-24265	195	1	consequently	consequently	ADV
brj-24265	195	2	,	,	PUNCT
brj-24265	195	3	different	different	ADJ
brj-24265	195	4	weave	weave	NOUN
brj-24265	195	5	marks	mark	NOUN
brj-24265	195	6	appear	appear	VERB
brj-24265	195	7	on	on	ADP
brj-24265	195	8	both	both	CCONJ
brj-24265	195	9	the	the	DET
brj-24265	195	10	top	top	ADJ
brj-24265	195	11	and	and	CCONJ
brj-24265	195	12	bottom	bottom	ADJ
brj-24265	195	13	surfaces	surface	NOUN
brj-24265	195	14	of	of	ADP
brj-24265	195	15	the	the	DET
brj-24265	195	16	paper	paper	NOUN
brj-24265	195	17	.	.	PUNCT
brj-24265	196	1	in	in	ADP
brj-24265	196	2	forensic	forensic	ADJ
brj-24265	196	3	document	document	NOUN
brj-24265	196	4	examination	examination	NOUN
brj-24265	196	5	,	,	PUNCT
brj-24265	196	6	documents	document	NOUN
brj-24265	196	7	may	may	AUX
brj-24265	196	8	contain	contain	VERB
brj-24265	196	9	content	content	NOUN
brj-24265	196	10	written	write	VERB
brj-24265	196	11	on	on	ADP
brj-24265	196	12	either	either	CCONJ
brj-24265	196	13	the	the	DET
brj-24265	196	14	top	top	ADJ
brj-24265	196	15	or	or	CCONJ
brj-24265	196	16	bottom	bottom	ADJ
brj-24265	196	17	side	side	NOUN
brj-24265	196	18	.	.	PUNCT
brj-24265	197	1	notably	notably	ADV
brj-24265	197	2	,	,	PUNCT
brj-24265	197	3	for	for	ADP
brj-24265	197	4	papers	paper	NOUN
brj-24265	197	5	manufactured	manufacture	VERB
brj-24265	197	6	using	use	VERB
brj-24265	197	7	twin	twin	ADJ
brj-24265	197	8	-	-	PUNCT
brj-24265	197	9	wire	wire	NOUN
brj-24265	197	10	systems	system	NOUN
brj-24265	197	11	,	,	PUNCT
brj-24265	197	12	such	such	ADJ
brj-24265	197	13	as	as	ADP
brj-24265	197	14	hybrid	hybrid	NOUN
brj-24265	197	15	or	or	CCONJ
brj-24265	197	16	gap	gap	NOUN
brj-24265	197	17	formers	former	NOUN
brj-24265	197	18	,	,	PUNCT
brj-24265	197	19	it	it	PRON
brj-24265	197	20	becomes	become	VERB
brj-24265	197	21	challenging	challenge	VERB
brj-24265	197	22	to	to	PART
brj-24265	197	23	distinguish	distinguish	VERB
brj-24265	197	24	between	between	ADP
brj-24265	197	25	the	the	DET
brj-24265	197	26	wire	wire	NOUN
brj-24265	197	27	and	and	CCONJ
brj-24265	197	28	felt	feel	VERB
brj-24265	197	29	sides	side	NOUN
brj-24265	197	30	.	.	PUNCT
brj-24265	198	1	this	this	PRON
brj-24265	198	2	suggests	suggest	VERB
brj-24265	198	3	that	that	SCONJ
brj-24265	198	4	the	the	DET
brj-24265	198	5	dataset	dataset	NOUN
brj-24265	198	6	should	should	AUX
brj-24265	198	7	be	be	AUX
brj-24265	198	8	composed	compose	VERB
brj-24265	198	9	of	of	ADP
brj-24265	198	10	separate	separate	ADJ
brj-24265	198	11	classes	class	NOUN
brj-24265	198	12	for	for	ADP
brj-24265	198	13	the	the	DET
brj-24265	198	14	top	top	ADJ
brj-24265	198	15	peer	peer	NOUN
brj-24265	198	16	-	-	PUNCT
brj-24265	198	17	reviewed	review	VERB
brj-24265	198	18	article	article	NOUN
brj-24265	198	19	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24265	198	20	lee	lee	PROPN
brj-24265	198	21	et	et	PROPN
brj-24265	198	22	al	al	PROPN
brj-24265	198	23	.	.	PROPN
brj-24265	199	1	(	(	PUNCT
brj-24265	199	2	2025	2025	NUM
brj-24265	199	3	)	)	PUNCT
brj-24265	199	4	.	.	PUNCT
brj-24265	200	1	“	"	PUNCT
brj-24265	200	2	wire	wire	NOUN
brj-24265	200	3	-	-	PUNCT
brj-24265	200	4	mark	mark	NOUN
brj-24265	200	5	analysis	analysis	NOUN
brj-24265	200	6	of	of	ADP
brj-24265	200	7	paper	paper	NOUN
brj-24265	200	8	,	,	PUNCT
brj-24265	200	9	”	"	PUNCT
brj-24265	200	10	bioresources	bioresource	VERB
brj-24265	200	11	20(4	20(4	NOUN
brj-24265	200	12	)	)	PUNCT
brj-24265	200	13	,	,	PUNCT
brj-24265	200	14	9208	9208	NUM
brj-24265	200	15	-	-	SYM
brj-24265	200	16	9225	9225	NUM
brj-24265	200	17	.	.	PUNCT
brj-24265	201	1	9217	9217	NUM
brj-24265	201	2	and	and	CCONJ
brj-24265	201	3	bottom	bottom	ADJ
brj-24265	201	4	sides	side	NOUN
brj-24265	201	5	.	.	PUNCT
brj-24265	202	1	to	to	PART
brj-24265	202	2	address	address	VERB
brj-24265	202	3	this	this	DET
brj-24265	202	4	issue	issue	NOUN
brj-24265	202	5	,	,	PUNCT
brj-24265	202	6	when	when	SCONJ
brj-24265	202	7	constructing	construct	VERB
brj-24265	202	8	a	a	DET
brj-24265	202	9	dataset	dataset	NOUN
brj-24265	202	10	with	with	ADP
brj-24265	202	11	step	step	NOUN
brj-24265	202	12	and	and	CCONJ
brj-24265	202	13	angle	angle	NOUN
brj-24265	202	14	data	datum	NOUN
brj-24265	202	15	using	use	VERB
brj-24265	202	16	a	a	DET
brj-24265	202	17	2d	2d	NUM
brj-24265	202	18	lab	lab	NOUN
brj-24265	202	19	formation	formation	NOUN
brj-24265	202	20	sensor	sensor	NOUN
brj-24265	202	21	,	,	PUNCT
brj-24265	202	22	it	it	PRON
brj-24265	202	23	is	be	AUX
brj-24265	202	24	essential	essential	ADJ
brj-24265	202	25	to	to	PART
brj-24265	202	26	determine	determine	VERB
brj-24265	202	27	whether	whether	SCONJ
brj-24265	202	28	the	the	DET
brj-24265	202	29	patterns	pattern	NOUN
brj-24265	202	30	of	of	ADP
brj-24265	202	31	the	the	DET
brj-24265	202	32	weave	weave	NOUN
brj-24265	202	33	marks	mark	NOUN
brj-24265	202	34	on	on	ADP
brj-24265	202	35	the	the	DET
brj-24265	202	36	top	top	ADJ
brj-24265	202	37	and	and	CCONJ
brj-24265	202	38	bottom	bottom	ADJ
brj-24265	202	39	sides	side	NOUN
brj-24265	202	40	are	be	AUX
brj-24265	202	41	consistent	consistent	ADJ
brj-24265	202	42	.	.	PUNCT
brj-24265	203	1	fig	fig	NOUN
brj-24265	203	2	.	.	PUNCT
brj-24265	204	1	2	2	X
brj-24265	204	2	.	.	X
brj-24265	204	3	pair	pair	NOUN
brj-24265	204	4	plots	plot	NOUN
brj-24265	204	5	of	of	ADP
brj-24265	204	6	pc	pc	NOUN
brj-24265	204	7	scores	score	NOUN
brj-24265	204	8	projected	project	VERB
brj-24265	204	9	by	by	ADP
brj-24265	204	10	clustering	cluster	VERB
brj-24265	204	11	using	use	VERB
brj-24265	204	12	dbscan	dbscan	NOUN
brj-24265	204	13	on	on	ADP
brj-24265	204	14	step	step	NOUN
brj-24265	204	15	and	and	CCONJ
brj-24265	204	16	angle	angle	NOUN
brj-24265	204	17	data	datum	NOUN
brj-24265	204	18	with	with	ADP
brj-24265	204	19	outliers	outlier	NOUN
brj-24265	204	20	peer	peer	NOUN
brj-24265	204	21	-	-	PUNCT
brj-24265	204	22	reviewed	review	VERB
brj-24265	204	23	article	article	NOUN
brj-24265	204	24	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24265	204	25	lee	lee	PROPN
brj-24265	204	26	et	et	PROPN
brj-24265	204	27	al	al	PROPN
brj-24265	204	28	.	.	PROPN
brj-24265	205	1	(	(	PUNCT
brj-24265	205	2	2025	2025	NUM
brj-24265	205	3	)	)	PUNCT
brj-24265	205	4	.	.	PUNCT
brj-24265	206	1	“	"	PUNCT
brj-24265	206	2	wire	wire	NOUN
brj-24265	206	3	-	-	PUNCT
brj-24265	206	4	mark	mark	NOUN
brj-24265	206	5	analysis	analysis	NOUN
brj-24265	206	6	of	of	ADP
brj-24265	206	7	paper	paper	NOUN
brj-24265	206	8	,	,	PUNCT
brj-24265	206	9	”	"	PUNCT
brj-24265	206	10	bioresources	bioresource	VERB
brj-24265	206	11	20(4	20(4	NOUN
brj-24265	206	12	)	)	PUNCT
brj-24265	206	13	,	,	PUNCT
brj-24265	206	14	9208	9208	NUM
brj-24265	206	15	-	-	SYM
brj-24265	206	16	9225	9225	NUM
brj-24265	206	17	.	.	PUNCT
brj-24265	207	1	9218	9218	NUM
brj-24265	207	2	fig	fig	NOUN
brj-24265	207	3	.	.	PUNCT
brj-24265	208	1	3	3	X
brj-24265	208	2	.	.	X
brj-24265	208	3	pc	pc	NOUN
brj-24265	208	4	score	score	NOUN
brj-24265	208	5	plots	plot	NOUN
brj-24265	208	6	depicting	depict	VERB
brj-24265	208	7	the	the	DET
brj-24265	208	8	first	first	ADJ
brj-24265	208	9	two	two	NUM
brj-24265	208	10	pcs	pc	NOUN
brj-24265	208	11	derived	derive	VERB
brj-24265	208	12	from	from	ADP
brj-24265	208	13	the	the	DET
brj-24265	208	14	step	step	NOUN
brj-24265	208	15	and	and	CCONJ
brj-24265	208	16	angle	angle	NOUN
brj-24265	208	17	data	datum	NOUN
brj-24265	208	18	with	with	ADP
brj-24265	208	19	outliers	outlier	NOUN
brj-24265	208	20	(	(	PUNCT
brj-24265	208	21	a	a	X
brj-24265	208	22	)	)	PUNCT
brj-24265	208	23	and	and	CCONJ
brj-24265	208	24	without	without	ADP
brj-24265	208	25	outliers	outlier	NOUN
brj-24265	208	26	(	(	PUNCT
brj-24265	208	27	b	b	NOUN
brj-24265	208	28	)	)	PUNCT
brj-24265	208	29	.	.	PUNCT
brj-24265	209	1	classification	classification	NOUN
brj-24265	209	2	models	model	NOUN
brj-24265	209	3	for	for	ADP
brj-24265	209	4	printing	print	VERB
brj-24265	209	5	paper	paper	NOUN
brj-24265	209	6	dating	date	VERB
brj-24265	209	7	it	it	PRON
brj-24265	209	8	is	be	AUX
brj-24265	209	9	well	well	ADV
brj-24265	209	10	documented	document	VERB
brj-24265	209	11	that	that	SCONJ
brj-24265	209	12	,	,	PUNCT
brj-24265	209	13	when	when	SCONJ
brj-24265	209	14	analyzing	analyze	VERB
brj-24265	209	15	periodic	periodic	ADJ
brj-24265	209	16	marks	mark	NOUN
brj-24265	209	17	using	use	VERB
brj-24265	209	18	a	a	DET
brj-24265	209	19	2d	2d	NUM
brj-24265	209	20	-	-	PUNCT
brj-24265	209	21	f	f	NOUN
brj-24265	209	22	sensor	sensor	NOUN
brj-24265	209	23	,	,	PUNCT
brj-24265	209	24	the	the	DET
brj-24265	209	25	step	step	NOUN
brj-24265	209	26	and	and	CCONJ
brj-24265	209	27	angle	angle	NOUN
brj-24265	209	28	values	value	NOUN
brj-24265	209	29	corresponding	correspond	VERB
brj-24265	209	30	to	to	ADP
brj-24265	209	31	the	the	DET
brj-24265	209	32	top	top	ADJ
brj-24265	209	33	five	five	NUM
brj-24265	209	34	intensity	intensity	NOUN
brj-24265	209	35	levels	level	NOUN
brj-24265	209	36	are	be	AUX
brj-24265	209	37	particularly	particularly	ADV
brj-24265	209	38	significant	significant	ADJ
brj-24265	209	39	(	(	PUNCT
brj-24265	209	40	jeong	jeong	PROPN
brj-24265	209	41	et	et	PROPN
brj-24265	209	42	al	al	PROPN
brj-24265	209	43	.	.	PROPN
brj-24265	209	44	2024a	2024a	NUM
brj-24265	209	45	,	,	PUNCT
brj-24265	209	46	b	b	NOUN
brj-24265	209	47	;	;	PUNCT
brj-24265	209	48	lee	lee	PROPN
brj-24265	209	49	et	et	PROPN
brj-24265	209	50	al	al	PROPN
brj-24265	209	51	.	.	PROPN
brj-24265	209	52	2024c	2024c	NUM
brj-24265	209	53	)	)	PUNCT
brj-24265	209	54	.	.	PUNCT
brj-24265	210	1	in	in	ADP
brj-24265	210	2	this	this	DET
brj-24265	210	3	study	study	NOUN
brj-24265	210	4	,	,	PUNCT
brj-24265	210	5	machine	machine	NOUN
brj-24265	210	6	learning	learning	NOUN
brj-24265	210	7	models	model	NOUN
brj-24265	210	8	were	be	AUX
brj-24265	210	9	constructed	construct	VERB
brj-24265	210	10	using	use	VERB
brj-24265	210	11	two	two	NUM
brj-24265	210	12	types	type	NOUN
brj-24265	210	13	of	of	ADP
brj-24265	210	14	input	input	NOUN
brj-24265	210	15	data	datum	NOUN
brj-24265	210	16	:	:	PUNCT
brj-24265	210	17	step	step	NOUN
brj-24265	210	18	and	and	CCONJ
brj-24265	210	19	angle	angle	NOUN
brj-24265	210	20	values	value	NOUN
brj-24265	210	21	from	from	ADP
brj-24265	210	22	all	all	DET
brj-24265	210	23	intensity	intensity	NOUN
brj-24265	210	24	levels	level	NOUN
brj-24265	210	25	(	(	PUNCT
brj-24265	210	26	unselected	unselected	ADJ
brj-24265	210	27	)	)	PUNCT
brj-24265	210	28	,	,	PUNCT
brj-24265	210	29	and	and	CCONJ
brj-24265	210	30	those	those	PRON
brj-24265	210	31	from	from	ADP
brj-24265	210	32	the	the	DET
brj-24265	210	33	top	top	ADJ
brj-24265	210	34	five	five	NUM
brj-24265	210	35	intensity	intensity	NOUN
brj-24265	210	36	levels	level	NOUN
brj-24265	210	37	only	only	ADV
brj-24265	210	38	(	(	PUNCT
brj-24265	210	39	selected	select	VERB
brj-24265	210	40	)	)	PUNCT
brj-24265	210	41	.	.	PUNCT
brj-24265	211	1	the	the	DET
brj-24265	211	2	classification	classification	NOUN
brj-24265	211	3	performance	performance	NOUN
brj-24265	211	4	and	and	CCONJ
brj-24265	211	5	optimal	optimal	ADJ
brj-24265	211	6	hyperparameters	hyperparameter	NOUN
brj-24265	211	7	of	of	ADP
brj-24265	211	8	the	the	DET
brj-24265	211	9	three	three	NUM
brj-24265	211	10	treebased	treebased	ADJ
brj-24265	211	11	models	model	NOUN
brj-24265	211	12	are	be	AUX
brj-24265	211	13	summarized	summarize	VERB
brj-24265	211	14	in	in	ADP
brj-24265	211	15	table	table	NOUN
brj-24265	211	16	4	4	NUM
brj-24265	211	17	.	.	PUNCT
brj-24265	212	1	for	for	ADP
brj-24265	212	2	models	model	NOUN
brj-24265	212	3	trained	train	VERB
brj-24265	212	4	with	with	ADP
brj-24265	212	5	data	datum	NOUN
brj-24265	212	6	derived	derive	VERB
brj-24265	212	7	from	from	ADP
brj-24265	212	8	periodic	periodic	ADJ
brj-24265	212	9	marks	mark	NOUN
brj-24265	212	10	,	,	PUNCT
brj-24265	212	11	the	the	DET
brj-24265	212	12	angle	angle	NOUN
brj-24265	212	13	values	value	NOUN
brj-24265	212	14	were	be	AUX
brj-24265	212	15	preprocessed	preprocesse	VERB
brj-24265	212	16	using	use	VERB
brj-24265	212	17	the	the	DET
brj-24265	212	18	modulo	modulo	NOUN
brj-24265	212	19	180	180	NUM
brj-24265	212	20	transformation	transformation	NOUN
brj-24265	212	21	described	describe	VERB
brj-24265	212	22	in	in	ADP
brj-24265	212	23	eq	eq	PROPN
brj-24265	212	24	.	.	PROPN
brj-24265	213	1	1	1	X
brj-24265	213	2	.	.	X
brj-24265	214	1	in	in	ADP
brj-24265	214	2	all	all	DET
brj-24265	214	3	cases	case	NOUN
brj-24265	214	4	,	,	PUNCT
brj-24265	214	5	models	model	NOUN
brj-24265	214	6	trained	train	VERB
brj-24265	214	7	with	with	ADP
brj-24265	214	8	selected	select	VERB
brj-24265	214	9	variables	variable	NOUN
brj-24265	214	10	outperformed	outperform	VERB
brj-24265	214	11	those	those	PRON
brj-24265	214	12	trained	train	VERB
brj-24265	214	13	with	with	ADP
brj-24265	214	14	unselected	unselected	ADJ
brj-24265	214	15	variables	variable	NOUN
brj-24265	214	16	.	.	PUNCT
brj-24265	215	1	these	these	DET
brj-24265	215	2	findings	finding	NOUN
brj-24265	215	3	are	be	AUX
brj-24265	215	4	consistent	consistent	ADJ
brj-24265	215	5	with	with	ADP
brj-24265	215	6	previous	previous	ADJ
brj-24265	215	7	reports	report	NOUN
brj-24265	215	8	(	(	PUNCT
brj-24265	215	9	jeong	jeong	PROPN
brj-24265	215	10	et	et	PROPN
brj-24265	215	11	al	al	PROPN
brj-24265	215	12	.	.	PROPN
brj-24265	215	13	2024a	2024a	NUM
brj-24265	215	14	,	,	PUNCT
brj-24265	215	15	b	b	NOUN
brj-24265	215	16	;	;	PUNCT
brj-24265	215	17	lee	lee	PROPN
brj-24265	215	18	et	et	PROPN
brj-24265	215	19	al	al	PROPN
brj-24265	215	20	.	.	PROPN
brj-24265	215	21	2024c	2024c	NUM
brj-24265	215	22	)	)	PUNCT
brj-24265	215	23	.	.	PUNCT
brj-24265	216	1	the	the	DET
brj-24265	216	2	dt	dt	PROPN
brj-24265	216	3	model	model	NOUN
brj-24265	216	4	exhibited	exhibit	VERB
brj-24265	216	5	minimal	minimal	ADJ
brj-24265	216	6	improvement	improvement	NOUN
brj-24265	216	7	with	with	ADP
brj-24265	216	8	variable	variable	ADJ
brj-24265	216	9	selection	selection	NOUN
brj-24265	216	10	(	(	PUNCT
brj-24265	216	11	f1	f1	NOUN
brj-24265	216	12	score	score	NOUN
brj-24265	216	13	of	of	ADP
brj-24265	216	14	0.627	0.627	NUM
brj-24265	216	15	to	to	ADP
brj-24265	216	16	0.629	0.629	NUM
brj-24265	216	17	)	)	PUNCT
brj-24265	216	18	.	.	PUNCT
brj-24265	217	1	the	the	DET
brj-24265	217	2	xgb	xgb	PROPN
brj-24265	217	3	model	model	NOUN
brj-24265	217	4	exhibited	exhibit	VERB
brj-24265	217	5	the	the	DET
brj-24265	217	6	best	good	ADJ
brj-24265	217	7	improvement	improvement	NOUN
brj-24265	217	8	with	with	ADP
brj-24265	217	9	variable	variable	ADJ
brj-24265	217	10	selection	selection	NOUN
brj-24265	217	11	,	,	PUNCT
brj-24265	217	12	increasing	increase	VERB
brj-24265	217	13	its	its	PRON
brj-24265	217	14	f1	f1	ADJ
brj-24265	217	15	score	score	NOUN
brj-24265	217	16	from	from	ADP
brj-24265	217	17	0.657	0.657	NUM
brj-24265	217	18	to	to	ADP
brj-24265	217	19	0.747	0.747	NUM
brj-24265	217	20	,	,	PUNCT
brj-24265	217	21	whereas	whereas	SCONJ
brj-24265	217	22	the	the	DET
brj-24265	217	23	hyperparameters	hyperparameter	NOUN
brj-24265	217	24	remained	remain	VERB
brj-24265	217	25	consistent	consistent	ADJ
brj-24265	217	26	.	.	PUNCT
brj-24265	218	1	table	table	NOUN
brj-24265	218	2	4	4	NUM
brj-24265	218	3	.	.	PUNCT
brj-24265	218	4	model	model	NOUN
brj-24265	218	5	comparison	comparison	NOUN
brj-24265	218	6	for	for	ADP
brj-24265	218	7	printing	print	VERB
brj-24265	218	8	paper	paper	NOUN
brj-24265	218	9	dating	date	VERB
brj-24265	218	10	models	model	NOUN
brj-24265	218	11	variables	variable	VERB
brj-24265	218	12	hyperparameters	hyperparameter	VERB
brj-24265	218	13	f1	f1	NOUN
brj-24265	218	14	score	score	NOUN
brj-24265	218	15	dt	dt	X
brj-24265	218	16	unselecteda	unselecteda	ADJ
brj-24265	218	17	cp	cp	INTJ
brj-24265	218	18	=	=	NOUN
brj-24265	218	19	0.001	0.001	NUM
brj-24265	218	20	0.627	0.627	NUM
brj-24265	218	21	selectedb	selectedb	NOUN
brj-24265	218	22	cp	cp	PROPN
brj-24265	218	23	=	=	NOUN
brj-24265	218	24	0.006	0.006	NUM
brj-24265	218	25	0.629	0.629	NUM
brj-24265	218	26	xgb	xgb	PROPN
brj-24265	218	27	unselecteda	unselecteda	ADJ
brj-24265	218	28	lr	lr	X
brj-24265	218	29	=	=	NOUN
brj-24265	218	30	0.1	0.1	NUM
brj-24265	218	31	,	,	PUNCT
brj-24265	218	32	max_depth	max_depth	NOUN
brj-24265	219	1	=	=	NOUN
brj-24265	219	2	7	7	NUM
brj-24265	219	3	0.657	0.657	NUM
brj-24265	219	4	selectedb	selectedb	NOUN
brj-24265	219	5	lr	lr	NOUN
brj-24265	219	6	=	=	NOUN
brj-24265	219	7	0.1	0.1	NUM
brj-24265	219	8	,	,	PUNCT
brj-24265	219	9	max_depth	max_depth	NOUN
brj-24265	219	10	=	=	NOUN
brj-24265	219	11	7	7	NUM
brj-24265	219	12	0.747	0.747	NUM
brj-24265	219	13	rf	rf	NOUN
brj-24265	219	14	unselecteda	unselecteda	ADJ
brj-24265	219	15	n_feature	n_feature	NOUN
brj-24265	219	16	=	=	SYM
brj-24265	219	17	1/3	1/3	NUM
brj-24265	219	18	,	,	PUNCT
brj-24265	219	19	n_trees	n_tree	NOUN
brj-24265	219	20	=	=	SYM
brj-24265	219	21	91	91	NUM
brj-24265	219	22	0.761	0.761	NUM
brj-24265	219	23	selectedb	selectedb	NOUN
brj-24265	219	24	n_feature	n_feature	NOUN
brj-24265	219	25	=	=	SYM
brj-24265	219	26	1/3	1/3	NUM
brj-24265	219	27	,	,	PUNCT
brj-24265	219	28	n_trees	n_tree	NOUN
brj-24265	219	29	=	=	NOUN
brj-24265	219	30	39	39	NUM
brj-24265	219	31	0.788	0.788	NUM
brj-24265	219	32	definitions	definition	NOUN
brj-24265	219	33	:	:	PUNCT
brj-24265	219	34	a	a	DET
brj-24265	219	35	,	,	PUNCT
brj-24265	219	36	step	step	NOUN
brj-24265	219	37	and	and	CCONJ
brj-24265	219	38	angle	angle	NOUN
brj-24265	219	39	data	datum	NOUN
brj-24265	219	40	at	at	ADP
brj-24265	219	41	all	all	DET
brj-24265	219	42	intensities	intensity	NOUN
brj-24265	219	43	;	;	PUNCT
brj-24265	219	44	b	b	X
brj-24265	219	45	,	,	PUNCT
brj-24265	219	46	step	step	NOUN
brj-24265	219	47	and	and	CCONJ
brj-24265	219	48	angle	angle	NOUN
brj-24265	219	49	data	datum	NOUN
brj-24265	219	50	at	at	ADP
brj-24265	219	51	the	the	DET
brj-24265	219	52	top	top	ADJ
brj-24265	219	53	five	five	NUM
brj-24265	219	54	intensities	intensity	NOUN
brj-24265	219	55	;	;	PUNCT
brj-24265	219	56	cp	cp	NUM
brj-24265	219	57	:	:	PUNCT
brj-24265	219	58	complexity	complexity	NOUN
brj-24265	219	59	parameter	parameter	NOUN
brj-24265	219	60	;	;	PUNCT
brj-24265	219	61	lr	lr	NOUN
brj-24265	219	62	:	:	PUNCT
brj-24265	219	63	learning	learn	VERB
brj-24265	219	64	rate	rate	NOUN
brj-24265	219	65	;	;	PUNCT
brj-24265	219	66	max_depth	max_depth	X
brj-24265	219	67	:	:	PUNCT
brj-24265	219	68	maximum	maximum	ADJ
brj-24265	219	69	depth	depth	NOUN
brj-24265	219	70	of	of	ADP
brj-24265	219	71	the	the	DET
brj-24265	219	72	trees	tree	NOUN
brj-24265	219	73	peer	peer	NOUN
brj-24265	219	74	-	-	PUNCT
brj-24265	219	75	reviewed	review	VERB
brj-24265	219	76	article	article	NOUN
brj-24265	219	77	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24265	219	78	lee	lee	PROPN
brj-24265	219	79	et	et	PROPN
brj-24265	219	80	al	al	PROPN
brj-24265	219	81	.	.	PROPN
brj-24265	219	82	(	(	PUNCT
brj-24265	219	83	2025	2025	NUM
brj-24265	219	84	)	)	PUNCT
brj-24265	219	85	.	.	PUNCT
brj-24265	220	1	“	"	PUNCT
brj-24265	220	2	wire	wire	NOUN
brj-24265	220	3	-	-	PUNCT
brj-24265	220	4	mark	mark	NOUN
brj-24265	220	5	analysis	analysis	NOUN
brj-24265	220	6	of	of	ADP
brj-24265	220	7	paper	paper	NOUN
brj-24265	220	8	,	,	PUNCT
brj-24265	220	9	”	"	PUNCT
brj-24265	220	10	bioresources	bioresource	VERB
brj-24265	220	11	20(4	20(4	NOUN
brj-24265	220	12	)	)	PUNCT
brj-24265	220	13	,	,	PUNCT
brj-24265	220	14	9208	9208	NUM
brj-24265	220	15	-	-	SYM
brj-24265	220	16	9225	9225	NUM
brj-24265	220	17	.	.	PUNCT
brj-24265	221	1	9219	9219	NUM
brj-24265	222	1	the	the	DET
brj-24265	222	2	rf	rf	NOUN
brj-24265	222	3	models	model	NOUN
brj-24265	222	4	outperformed	outperform	VERB
brj-24265	222	5	the	the	DET
brj-24265	222	6	other	other	ADJ
brj-24265	222	7	classifiers	classifier	NOUN
brj-24265	222	8	,	,	PUNCT
brj-24265	222	9	achieving	achieve	VERB
brj-24265	222	10	f1	f1	NOUN
brj-24265	222	11	scores	score	NOUN
brj-24265	222	12	of	of	ADP
brj-24265	222	13	0.761	0.761	NUM
brj-24265	222	14	with	with	ADP
brj-24265	222	15	unselected	unselected	ADJ
brj-24265	222	16	variables	variable	NOUN
brj-24265	222	17	and	and	CCONJ
brj-24265	222	18	0.788	0.788	NUM
brj-24265	222	19	with	with	ADP
brj-24265	222	20	selected	select	VERB
brj-24265	222	21	variables	variable	NOUN
brj-24265	222	22	.	.	PUNCT
brj-24265	223	1	overall	overall	ADV
brj-24265	223	2	,	,	PUNCT
brj-24265	223	3	the	the	DET
brj-24265	223	4	models	model	NOUN
brj-24265	223	5	trained	train	VERB
brj-24265	223	6	on	on	ADP
brj-24265	223	7	the	the	DET
brj-24265	223	8	step	step	NOUN
brj-24265	223	9	and	and	CCONJ
brj-24265	223	10	angle	angle	NOUN
brj-24265	223	11	data	datum	NOUN
brj-24265	223	12	at	at	ADP
brj-24265	223	13	the	the	DET
brj-24265	223	14	top	top	ADJ
brj-24265	223	15	five	five	NUM
brj-24265	223	16	intensities	intensity	NOUN
brj-24265	223	17	exhibited	exhibit	VERB
brj-24265	223	18	increased	increase	VERB
brj-24265	223	19	f1	f1	NOUN
brj-24265	223	20	scores	score	NOUN
brj-24265	223	21	.	.	PUNCT
brj-24265	224	1	thus	thus	ADV
brj-24265	224	2	,	,	PUNCT
brj-24265	224	3	when	when	SCONJ
brj-24265	224	4	analyzing	analyze	VERB
brj-24265	224	5	periodic	periodic	ADJ
brj-24265	224	6	marks	mark	NOUN
brj-24265	224	7	using	use	VERB
brj-24265	224	8	a	a	DET
brj-24265	224	9	2d	2d	NUM
brj-24265	224	10	lab	lab	NOUN
brj-24265	224	11	formation	formation	NOUN
brj-24265	224	12	sensor	sensor	NOUN
brj-24265	224	13	,	,	PUNCT
brj-24265	224	14	the	the	DET
brj-24265	224	15	step	step	NOUN
brj-24265	224	16	and	and	CCONJ
brj-24265	224	17	angle	angle	NOUN
brj-24265	224	18	data	datum	NOUN
brj-24265	224	19	at	at	ADP
brj-24265	224	20	the	the	DET
brj-24265	224	21	top	top	ADJ
brj-24265	224	22	five	five	NUM
brj-24265	224	23	intensities	intensity	NOUN
brj-24265	224	24	are	be	AUX
brj-24265	224	25	significant	significant	ADJ
brj-24265	224	26	.	.	PUNCT
brj-24265	225	1	among	among	ADP
brj-24265	225	2	the	the	DET
brj-24265	225	3	tree	tree	NOUN
brj-24265	225	4	-	-	PUNCT
brj-24265	225	5	based	base	VERB
brj-24265	225	6	algorithms	algorithm	NOUN
brj-24265	225	7	,	,	PUNCT
brj-24265	225	8	rf	rf	NOUN
brj-24265	225	9	,	,	PUNCT
brj-24265	225	10	which	which	PRON
brj-24265	225	11	utilizes	utilize	VERB
brj-24265	225	12	an	an	DET
brj-24265	225	13	ensemble	ensemble	ADJ
brj-24265	225	14	learning	learning	NOUN
brj-24265	225	15	process	process	NOUN
brj-24265	225	16	,	,	PUNCT
brj-24265	225	17	was	be	AUX
brj-24265	225	18	the	the	DET
brj-24265	225	19	most	most	ADV
brj-24265	225	20	effective	effective	ADJ
brj-24265	225	21	model	model	NOUN
brj-24265	225	22	.	.	PUNCT
brj-24265	226	1	thus	thus	ADV
brj-24265	226	2	,	,	PUNCT
brj-24265	226	3	the	the	DET
brj-24265	226	4	rf	rf	NOUN
brj-24265	226	5	model	model	NOUN
brj-24265	226	6	,	,	PUNCT
brj-24265	226	7	which	which	PRON
brj-24265	226	8	achieved	achieve	VERB
brj-24265	226	9	the	the	DET
brj-24265	226	10	highest	high	ADJ
brj-24265	226	11	f1	f1	ADJ
brj-24265	226	12	score	score	NOUN
brj-24265	226	13	among	among	ADP
brj-24265	226	14	the	the	DET
brj-24265	226	15	three	three	NUM
brj-24265	226	16	classifiers	classifier	NOUN
brj-24265	226	17	,	,	PUNCT
brj-24265	226	18	was	be	AUX
brj-24265	226	19	selected	select	VERB
brj-24265	226	20	for	for	ADP
brj-24265	226	21	feature	feature	NOUN
brj-24265	226	22	importance	importance	NOUN
brj-24265	226	23	analysis	analysis	NOUN
brj-24265	226	24	.	.	PUNCT
brj-24265	227	1	feature	feature	NOUN
brj-24265	227	2	importance	importance	NOUN
brj-24265	227	3	measures	measure	NOUN
brj-24265	227	4	from	from	ADP
brj-24265	227	5	rf	rf	ADJ
brj-24265	227	6	figure	figure	NOUN
brj-24265	227	7	4	4	NUM
brj-24265	227	8	shows	show	VERB
brj-24265	227	9	the	the	DET
brj-24265	227	10	progression	progression	NOUN
brj-24265	227	11	of	of	ADP
brj-24265	227	12	oob	oob	NOUN
brj-24265	227	13	errors	error	NOUN
brj-24265	227	14	as	as	SCONJ
brj-24265	227	15	each	each	DET
brj-24265	227	16	classification	classification	NOUN
brj-24265	227	17	tree	tree	NOUN
brj-24265	227	18	is	be	AUX
brj-24265	227	19	incorporated	incorporate	VERB
brj-24265	227	20	during	during	ADP
brj-24265	227	21	the	the	DET
brj-24265	227	22	rf	rf	NOUN
brj-24265	227	23	training	training	NOUN
brj-24265	227	24	process	process	NOUN
brj-24265	227	25	for	for	ADP
brj-24265	227	26	printing	print	VERB
brj-24265	227	27	paper	paper	NOUN
brj-24265	227	28	dating	date	VERB
brj-24265	227	29	.	.	PUNCT
brj-24265	228	1	figures	figure	NOUN
brj-24265	228	2	4(a	4(a	NUM
brj-24265	228	3	)	)	PUNCT
brj-24265	228	4	and	and	CCONJ
brj-24265	228	5	4(b	4(b	NUM
brj-24265	228	6	)	)	PUNCT
brj-24265	228	7	present	present	VERB
brj-24265	228	8	similar	similar	ADJ
brj-24265	228	9	patterns	pattern	NOUN
brj-24265	228	10	in	in	ADP
brj-24265	228	11	oob	oob	NOUN
brj-24265	228	12	error	error	NOUN
brj-24265	228	13	reduction	reduction	NOUN
brj-24265	228	14	.	.	PUNCT
brj-24265	229	1	initially	initially	ADV
brj-24265	229	2	,	,	PUNCT
brj-24265	229	3	as	as	SCONJ
brj-24265	229	4	more	more	ADJ
brj-24265	229	5	trees	tree	NOUN
brj-24265	229	6	are	be	AUX
brj-24265	229	7	added	add	VERB
brj-24265	229	8	,	,	PUNCT
brj-24265	229	9	the	the	DET
brj-24265	229	10	oob	oob	NOUN
brj-24265	229	11	errors	error	NOUN
brj-24265	229	12	decrease	decrease	VERB
brj-24265	229	13	;	;	PUNCT
brj-24265	229	14	notably	notably	ADV
brj-24265	229	15	,	,	PUNCT
brj-24265	229	16	the	the	DET
brj-24265	229	17	use	use	NOUN
brj-24265	229	18	of	of	ADP
brj-24265	229	19	step	step	NOUN
brj-24265	229	20	and	and	CCONJ
brj-24265	229	21	angle	angle	NOUN
brj-24265	229	22	data	datum	NOUN
brj-24265	229	23	at	at	ADP
brj-24265	229	24	the	the	DET
brj-24265	229	25	top	top	ADJ
brj-24265	229	26	five	five	NUM
brj-24265	229	27	intensities	intensity	NOUN
brj-24265	229	28	accelerates	accelerate	VERB
brj-24265	229	29	this	this	DET
brj-24265	229	30	reduction	reduction	NOUN
brj-24265	229	31	during	during	ADP
brj-24265	229	32	the	the	DET
brj-24265	229	33	early	early	ADJ
brj-24265	229	34	stages	stage	NOUN
brj-24265	229	35	of	of	ADP
brj-24265	229	36	tree	tree	NOUN
brj-24265	229	37	addition	addition	NOUN
brj-24265	229	38	.	.	PUNCT
brj-24265	230	1	subsequently	subsequently	ADV
brj-24265	230	2	,	,	PUNCT
brj-24265	230	3	the	the	DET
brj-24265	230	4	errors	error	NOUN
brj-24265	230	5	stabilize	stabilize	VERB
brj-24265	230	6	at	at	ADP
brj-24265	230	7	a	a	DET
brj-24265	230	8	consistent	consistent	ADJ
brj-24265	230	9	level	level	NOUN
brj-24265	230	10	once	once	SCONJ
brj-24265	230	11	the	the	DET
brj-24265	230	12	number	number	NOUN
brj-24265	230	13	of	of	ADP
brj-24265	230	14	trees	tree	NOUN
brj-24265	230	15	exceeds	exceed	VERB
brj-24265	230	16	100	100	NUM
brj-24265	230	17	in	in	ADP
brj-24265	230	18	fig	fig	NOUN
brj-24265	230	19	.	.	PUNCT
brj-24265	231	1	4a	4a	NOUN
brj-24265	231	2	and	and	CCONJ
brj-24265	231	3	50	50	NUM
brj-24265	231	4	in	in	ADP
brj-24265	231	5	fig	fig	NOUN
brj-24265	231	6	.	.	PUNCT
brj-24265	232	1	4b	4b	PROPN
brj-24265	232	2	.	.	PUNCT
brj-24265	233	1	based	base	VERB
brj-24265	233	2	on	on	ADP
brj-24265	233	3	these	these	DET
brj-24265	233	4	results	result	NOUN
brj-24265	233	5	,	,	PUNCT
brj-24265	233	6	the	the	DET
brj-24265	233	7	optimal	optimal	ADJ
brj-24265	233	8	hyperparameters	hyperparameter	NOUN
brj-24265	233	9	for	for	ADP
brj-24265	233	10	the	the	DET
brj-24265	233	11	rf	rf	NOUN
brj-24265	233	12	models	model	NOUN
brj-24265	233	13	were	be	AUX
brj-24265	233	14	determined	determine	VERB
brj-24265	233	15	(	(	PUNCT
brj-24265	233	16	table	table	NOUN
brj-24265	233	17	4	4	NUM
brj-24265	233	18	)	)	PUNCT
brj-24265	233	19	,	,	PUNCT
brj-24265	233	20	and	and	CCONJ
brj-24265	233	21	the	the	DET
brj-24265	233	22	best	well	ADV
brj-24265	233	23	-	-	PUNCT
brj-24265	233	24	tuned	tune	VERB
brj-24265	233	25	models	model	NOUN
brj-24265	233	26	were	be	AUX
brj-24265	233	27	also	also	ADV
brj-24265	233	28	used	use	VERB
brj-24265	233	29	for	for	ADP
brj-24265	233	30	feature	feature	NOUN
brj-24265	233	31	importance	importance	NOUN
brj-24265	233	32	analysis	analysis	NOUN
brj-24265	233	33	.	.	PUNCT
brj-24265	234	1	notably	notably	ADV
brj-24265	234	2	,	,	PUNCT
brj-24265	234	3	the	the	DET
brj-24265	234	4	minimum	minimum	ADJ
brj-24265	234	5	oob	oob	NOUN
brj-24265	234	6	errors	error	NOUN
brj-24265	234	7	achieved	achieve	VERB
brj-24265	234	8	during	during	ADP
brj-24265	234	9	training	training	NOUN
brj-24265	234	10	and	and	CCONJ
brj-24265	234	11	the	the	DET
brj-24265	234	12	overall	overall	ADJ
brj-24265	234	13	classification	classification	NOUN
brj-24265	234	14	performance	performance	NOUN
brj-24265	234	15	were	be	AUX
brj-24265	234	16	higher	high	ADJ
brj-24265	234	17	when	when	SCONJ
brj-24265	234	18	using	use	VERB
brj-24265	234	19	the	the	DET
brj-24265	234	20	selected	select	VERB
brj-24265	234	21	step	step	NOUN
brj-24265	234	22	and	and	CCONJ
brj-24265	234	23	angle	angle	NOUN
brj-24265	234	24	data	datum	NOUN
brj-24265	234	25	from	from	ADP
brj-24265	234	26	the	the	DET
brj-24265	234	27	top	top	ADJ
brj-24265	234	28	five	five	NUM
brj-24265	234	29	intensities	intensity	NOUN
brj-24265	234	30	compared	compare	VERB
brj-24265	234	31	to	to	ADP
brj-24265	234	32	using	use	VERB
brj-24265	234	33	all	all	DET
brj-24265	234	34	intensity	intensity	NOUN
brj-24265	234	35	levels	level	NOUN
brj-24265	234	36	(	(	PUNCT
brj-24265	234	37	table	table	NOUN
brj-24265	234	38	4	4	NUM
brj-24265	234	39	)	)	PUNCT
brj-24265	234	40	.	.	PUNCT
brj-24265	235	1	fig	fig	NOUN
brj-24265	235	2	.	.	PUNCT
brj-24265	236	1	4	4	X
brj-24265	236	2	.	.	X
brj-24265	236	3	changes	change	NOUN
brj-24265	236	4	in	in	ADP
brj-24265	236	5	out	out	ADP
brj-24265	236	6	-	-	PUNCT
brj-24265	236	7	of	of	ADP
brj-24265	236	8	-	-	PUNCT
brj-24265	236	9	bag	bag	NOUN
brj-24265	236	10	(	(	PUNCT
brj-24265	236	11	oob	oob	NOUN
brj-24265	236	12	)	)	PUNCT
brj-24265	236	13	error	error	NOUN
brj-24265	236	14	rates	rate	NOUN
brj-24265	236	15	with	with	ADP
brj-24265	236	16	increasing	increase	VERB
brj-24265	236	17	number	number	NOUN
brj-24265	236	18	of	of	ADP
brj-24265	236	19	classification	classification	NOUN
brj-24265	236	20	trees	tree	NOUN
brj-24265	236	21	in	in	ADP
brj-24265	236	22	the	the	DET
brj-24265	236	23	dating	dating	NOUN
brj-24265	236	24	of	of	ADP
brj-24265	236	25	printing	printing	NOUN
brj-24265	236	26	paper	paper	NOUN
brj-24265	236	27	.	.	PUNCT
brj-24265	237	1	models	model	NOUN
brj-24265	237	2	trained	train	VERB
brj-24265	237	3	with	with	ADP
brj-24265	237	4	step	step	NOUN
brj-24265	237	5	and	and	CCONJ
brj-24265	237	6	angle	angle	NOUN
brj-24265	237	7	data	datum	NOUN
brj-24265	237	8	at	at	ADP
brj-24265	237	9	all	all	DET
brj-24265	237	10	intensity	intensity	NOUN
brj-24265	237	11	levels	level	NOUN
brj-24265	237	12	(	(	PUNCT
brj-24265	237	13	a	a	X
brj-24265	237	14	)	)	PUNCT
brj-24265	237	15	;	;	PUNCT
brj-24265	237	16	models	model	NOUN
brj-24265	237	17	trained	train	VERB
brj-24265	237	18	with	with	ADP
brj-24265	237	19	step	step	NOUN
brj-24265	237	20	and	and	CCONJ
brj-24265	237	21	angle	angle	NOUN
brj-24265	237	22	data	datum	NOUN
brj-24265	237	23	at	at	ADP
brj-24265	237	24	the	the	DET
brj-24265	237	25	top	top	ADJ
brj-24265	237	26	five	five	NUM
brj-24265	237	27	intensity	intensity	NOUN
brj-24265	237	28	levels	level	NOUN
brj-24265	237	29	(	(	PUNCT
brj-24265	237	30	b	b	NOUN
brj-24265	237	31	)	)	PUNCT
brj-24265	237	32	.	.	PUNCT
brj-24265	238	1	figure	figure	NOUN
brj-24265	238	2	5	5	NUM
brj-24265	238	3	shows	show	VERB
brj-24265	238	4	the	the	DET
brj-24265	238	5	feature	feature	NOUN
brj-24265	238	6	importance	importance	NOUN
brj-24265	238	7	of	of	ADP
brj-24265	238	8	rf	rf	NOUN
brj-24265	238	9	models	model	NOUN
brj-24265	238	10	trained	train	VERB
brj-24265	238	11	on	on	ADP
brj-24265	238	12	step	step	NOUN
brj-24265	238	13	and	and	CCONJ
brj-24265	238	14	angle	angle	NOUN
brj-24265	238	15	data	datum	NOUN
brj-24265	238	16	.	.	PUNCT
brj-24265	239	1	figure	figure	NOUN
brj-24265	239	2	5a	5a	NUM
brj-24265	239	3	shows	show	VERB
brj-24265	239	4	the	the	DET
brj-24265	239	5	feature	feature	NOUN
brj-24265	239	6	importance	importance	NOUN
brj-24265	239	7	of	of	ADP
brj-24265	239	8	the	the	DET
brj-24265	239	9	step	step	NOUN
brj-24265	239	10	and	and	CCONJ
brj-24265	239	11	angle	angle	NOUN
brj-24265	239	12	at	at	ADP
brj-24265	239	13	all	all	DET
brj-24265	239	14	intensities	intensity	NOUN
brj-24265	239	15	.	.	PUNCT
brj-24265	240	1	it	it	PRON
brj-24265	240	2	is	be	AUX
brj-24265	240	3	clearly	clearly	ADV
brj-24265	240	4	confirmed	confirm	VERB
brj-24265	240	5	that	that	SCONJ
brj-24265	240	6	the	the	DET
brj-24265	240	7	step	step	NOUN
brj-24265	240	8	and	and	CCONJ
brj-24265	240	9	angle	angle	NOUN
brj-24265	240	10	data	datum	NOUN
brj-24265	240	11	at	at	ADP
brj-24265	240	12	the	the	DET
brj-24265	240	13	third	third	ADJ
brj-24265	240	14	intensity	intensity	NOUN
brj-24265	240	15	level	level	NOUN
brj-24265	240	16	identified	identify	VERB
brj-24265	240	17	as	as	ADP
brj-24265	240	18	most	most	ADJ
brj-24265	240	19	significant	significant	ADJ
brj-24265	240	20	variable	variable	NOUN
brj-24265	240	21	for	for	ADP
brj-24265	240	22	printing	print	VERB
brj-24265	240	23	paper	paper	NOUN
brj-24265	240	24	dating	date	VERB
brj-24265	240	25	.	.	PUNCT
brj-24265	241	1	in	in	ADP
brj-24265	241	2	general	general	ADJ
brj-24265	241	3	,	,	PUNCT
brj-24265	241	4	the	the	DET
brj-24265	241	5	step	step	NOUN
brj-24265	241	6	and	and	CCONJ
brj-24265	241	7	angle	angle	NOUN
brj-24265	241	8	data	datum	NOUN
brj-24265	241	9	at	at	ADP
brj-24265	241	10	the	the	DET
brj-24265	241	11	first	first	ADJ
brj-24265	241	12	two	two	NUM
brj-24265	241	13	intensities	intensity	NOUN
brj-24265	241	14	were	be	AUX
brj-24265	241	15	measured	measure	VERB
brj-24265	241	16	for	for	ADP
brj-24265	241	17	the	the	DET
brj-24265	241	18	weaving	weaving	NOUN
brj-24265	241	19	patterns	pattern	NOUN
brj-24265	241	20	of	of	ADP
brj-24265	241	21	flat	flat	ADJ
brj-24265	241	22	weaving	weaving	NOUN
brj-24265	241	23	(	(	PUNCT
brj-24265	241	24	jeong	jeong	PROPN
brj-24265	241	25	et	et	PROPN
brj-24265	241	26	al	al	PROPN
brj-24265	241	27	.	.	PROPN
brj-24265	241	28	2024a	2024a	NUM
brj-24265	241	29	,	,	PUNCT
brj-24265	241	30	b	b	X
brj-24265	241	31	;	;	PUNCT
brj-24265	241	32	lee	lee	PROPN
brj-24265	241	33	et	et	PROPN
brj-24265	241	34	al	al	PROPN
brj-24265	241	35	.	.	PROPN
brj-24265	241	36	2024c	2024c	NUM
brj-24265	241	37	)	)	PUNCT
brj-24265	241	38	.	.	PUNCT
brj-24265	242	1	figure	figure	NOUN
brj-24265	242	2	6	6	NUM
brj-24265	242	3	illustrates	illustrate	VERB
brj-24265	242	4	the	the	DET
brj-24265	242	5	design	design	NOUN
brj-24265	242	6	of	of	ADP
brj-24265	242	7	a	a	DET
brj-24265	242	8	simple	simple	ADJ
brj-24265	242	9	forming	form	VERB
brj-24265	242	10	fabric	fabric	NOUN
brj-24265	242	11	.	.	PUNCT
brj-24265	243	1	the	the	DET
brj-24265	243	2	warp	warp	ADJ
brj-24265	243	3	direction	direction	NOUN
brj-24265	243	4	on	on	ADP
brj-24265	243	5	the	the	DET
brj-24265	243	6	weaving	weaving	NOUN
brj-24265	243	7	machine	machine	NOUN
brj-24265	243	8	aligns	align	VERB
brj-24265	243	9	with	with	ADP
brj-24265	243	10	the	the	DET
brj-24265	243	11	machine	machine	NOUN
brj-24265	243	12	direction	direction	NOUN
brj-24265	243	13	on	on	ADP
brj-24265	243	14	the	the	DET
brj-24265	243	15	paper	paper	NOUN
brj-24265	243	16	machine	machine	NOUN
brj-24265	243	17	,	,	PUNCT
brj-24265	243	18	whereas	whereas	SCONJ
brj-24265	243	19	the	the	DET
brj-24265	243	20	filling	filling	NOUN
brj-24265	243	21	(	(	PUNCT
brj-24265	243	22	weft	weft	NOUN
brj-24265	243	23	)	)	PUNCT
brj-24265	243	24	direction	direction	NOUN
brj-24265	243	25	on	on	ADP
brj-24265	243	26	the	the	DET
brj-24265	243	27	weaving	weaving	NOUN
brj-24265	243	28	machine	machine	NOUN
brj-24265	243	29	corresponds	correspond	VERB
brj-24265	243	30	to	to	ADP
brj-24265	243	31	the	the	DET
brj-24265	243	32	crossmachine	crossmachine	NOUN
brj-24265	243	33	direction	direction	NOUN
brj-24265	243	34	(	(	PUNCT
brj-24265	243	35	cd	cd	PROPN
brj-24265	243	36	)	)	PUNCT
brj-24265	243	37	on	on	ADP
brj-24265	243	38	the	the	DET
brj-24265	243	39	paper	paper	NOUN
brj-24265	243	40	machine	machine	NOUN
brj-24265	243	41	(	(	PUNCT
brj-24265	243	42	adanur	adanur	PROPN
brj-24265	243	43	2017	2017	NUM
brj-24265	243	44	)	)	PUNCT
brj-24265	243	45	.	.	PUNCT
brj-24265	244	1	therefore	therefore	ADV
brj-24265	244	2	,	,	PUNCT
brj-24265	244	3	angles	angle	NOUN
brj-24265	244	4	near	near	ADP
brj-24265	244	5	360	360	NUM
brj-24265	244	6	°	°	NOUN
brj-24265	244	7	peer	peer	NOUN
brj-24265	244	8	-	-	PUNCT
brj-24265	244	9	reviewed	review	VERB
brj-24265	244	10	article	article	NOUN
brj-24265	244	11	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24265	244	12	lee	lee	PROPN
brj-24265	244	13	et	et	PROPN
brj-24265	244	14	al	al	PROPN
brj-24265	244	15	.	.	PROPN
brj-24265	245	1	(	(	PUNCT
brj-24265	245	2	2025	2025	NUM
brj-24265	245	3	)	)	PUNCT
brj-24265	245	4	.	.	PUNCT
brj-24265	246	1	“	"	PUNCT
brj-24265	246	2	wire	wire	NOUN
brj-24265	246	3	-	-	PUNCT
brj-24265	246	4	mark	mark	NOUN
brj-24265	246	5	analysis	analysis	NOUN
brj-24265	246	6	of	of	ADP
brj-24265	246	7	paper	paper	NOUN
brj-24265	246	8	,	,	PUNCT
brj-24265	246	9	”	"	PUNCT
brj-24265	246	10	bioresources	bioresource	VERB
brj-24265	246	11	20(4	20(4	NOUN
brj-24265	246	12	)	)	PUNCT
brj-24265	246	13	,	,	PUNCT
brj-24265	246	14	9208	9208	NUM
brj-24265	246	15	-	-	SYM
brj-24265	246	16	9225	9225	NUM
brj-24265	246	17	.	.	PUNCT
brj-24265	246	18	9220	9220	NUM
brj-24265	246	19	and	and	CCONJ
brj-24265	246	20	180	180	NUM
brj-24265	246	21	°	°	NOUN
brj-24265	246	22	(	(	PUNCT
brj-24265	246	23	table	table	NOUN
brj-24265	246	24	3	3	NUM
brj-24265	246	25	)	)	PUNCT
brj-24265	246	26	are	be	AUX
brj-24265	246	27	general	general	ADJ
brj-24265	246	28	features	feature	NOUN
brj-24265	246	29	of	of	ADP
brj-24265	246	30	the	the	DET
brj-24265	246	31	weft	weft	NOUN
brj-24265	246	32	direction	direction	NOUN
brj-24265	246	33	(	(	PUNCT
brj-24265	246	34	cd	cd	PROPN
brj-24265	246	35	)	)	PUNCT
brj-24265	246	36	,	,	PUNCT
brj-24265	246	37	which	which	PRON
brj-24265	246	38	are	be	AUX
brj-24265	246	39	observed	observe	VERB
brj-24265	246	40	for	for	ADP
brj-24265	246	41	all	all	DET
brj-24265	246	42	types	type	NOUN
brj-24265	246	43	of	of	ADP
brj-24265	246	44	products	product	NOUN
brj-24265	246	45	regardless	regardless	ADV
brj-24265	246	46	of	of	ADP
brj-24265	246	47	the	the	DET
brj-24265	246	48	manufacturing	manufacturing	NOUN
brj-24265	246	49	date	date	NOUN
brj-24265	246	50	.	.	PUNCT
brj-24265	247	1	fig	fig	NOUN
brj-24265	247	2	.	.	PUNCT
brj-24265	248	1	5	5	NUM
brj-24265	248	2	.	.	X
brj-24265	248	3	feature	feature	NOUN
brj-24265	248	4	importance	importance	NOUN
brj-24265	248	5	of	of	ADP
brj-24265	248	6	rf	rf	NOUN
brj-24265	248	7	models	model	NOUN
brj-24265	248	8	trained	train	VERB
brj-24265	248	9	on	on	ADP
brj-24265	248	10	step	step	NOUN
brj-24265	248	11	and	and	CCONJ
brj-24265	248	12	angle	angle	NOUN
brj-24265	248	13	data	datum	NOUN
brj-24265	248	14	at	at	ADP
brj-24265	248	15	all	all	DET
brj-24265	248	16	intensities	intensity	NOUN
brj-24265	248	17	(	(	PUNCT
brj-24265	248	18	a	a	NOUN
brj-24265	248	19	)	)	PUNCT
brj-24265	248	20	and	and	CCONJ
brj-24265	248	21	the	the	DET
brj-24265	248	22	top	top	ADJ
brj-24265	248	23	five	five	NUM
brj-24265	248	24	intensities	intensity	NOUN
brj-24265	248	25	(	(	PUNCT
brj-24265	248	26	b	b	NOUN
brj-24265	248	27	)	)	PUNCT
brj-24265	248	28	fig	fig	NOUN
brj-24265	248	29	.	.	PUNCT
brj-24265	249	1	6	6	NUM
brj-24265	249	2	.	.	X
brj-24265	249	3	illustration	illustration	NOUN
brj-24265	249	4	of	of	ADP
brj-24265	249	5	flat	flat	ADJ
brj-24265	249	6	fabric	fabric	NOUN
brj-24265	249	7	weaving	weaving	NOUN
brj-24265	249	8	(	(	PUNCT
brj-24265	249	9	a	a	NOUN
brj-24265	249	10	)	)	PUNCT
brj-24265	249	11	,	,	PUNCT
brj-24265	249	12	profile	profile	NOUN
brj-24265	249	13	of	of	ADP
brj-24265	249	14	fabric	fabric	NOUN
brj-24265	249	15	design	design	NOUN
brj-24265	249	16	(	(	PUNCT
brj-24265	249	17	b	b	NOUN
brj-24265	249	18	)	)	PUNCT
brj-24265	249	19	,	,	PUNCT
brj-24265	249	20	and	and	CCONJ
brj-24265	249	21	top	top	ADJ
brj-24265	249	22	view	view	NOUN
brj-24265	249	23	of	of	ADP
brj-24265	249	24	forming	form	VERB
brj-24265	249	25	fabric	fabric	NOUN
brj-24265	249	26	(	(	PUNCT
brj-24265	249	27	c	c	NOUN
brj-24265	249	28	)	)	PUNCT
brj-24265	249	29	(	(	PUNCT
brj-24265	249	30	inspired	inspire	VERB
brj-24265	249	31	(	(	PUNCT
brj-24265	249	32	adanur	adanur	NOUN
brj-24265	249	33	2017	2017	NUM
brj-24265	249	34	)	)	PUNCT
brj-24265	249	35	)	)	PUNCT
brj-24265	250	1	however	however	ADV
brj-24265	250	2	,	,	PUNCT
brj-24265	250	3	the	the	DET
brj-24265	250	4	step	step	NOUN
brj-24265	250	5	and	and	CCONJ
brj-24265	250	6	angle	angle	NOUN
brj-24265	250	7	data	datum	NOUN
brj-24265	250	8	at	at	ADP
brj-24265	250	9	the	the	DET
brj-24265	250	10	third	third	ADJ
brj-24265	250	11	intensity	intensity	NOUN
brj-24265	250	12	level	level	NOUN
brj-24265	250	13	(	(	PUNCT
brj-24265	250	14	table	table	NOUN
brj-24265	250	15	3	3	NUM
brj-24265	250	16	)	)	PUNCT
brj-24265	250	17	were	be	AUX
brj-24265	250	18	not	not	PART
brj-24265	250	19	associated	associate	VERB
brj-24265	250	20	with	with	ADP
brj-24265	250	21	the	the	DET
brj-24265	250	22	weaving	weaving	NOUN
brj-24265	250	23	patterns	pattern	NOUN
brj-24265	250	24	.	.	PUNCT
brj-24265	251	1	these	these	DET
brj-24265	251	2	data	datum	NOUN
brj-24265	251	3	are	be	AUX
brj-24265	251	4	assumed	assume	VERB
brj-24265	251	5	to	to	PART
brj-24265	251	6	represent	represent	VERB
brj-24265	251	7	the	the	DET
brj-24265	251	8	signatures	signature	NOUN
brj-24265	251	9	of	of	ADP
brj-24265	251	10	the	the	DET
brj-24265	251	11	outer	outer	ADJ
brj-24265	251	12	warp	warp	NOUN
brj-24265	251	13	knuckle	knuckle	PROPN
brj-24265	251	14	(	(	PUNCT
brj-24265	251	15	adanur	adanur	NOUN
brj-24265	251	16	2017	2017	NUM
brj-24265	251	17	)	)	PUNCT
brj-24265	251	18	or	or	CCONJ
brj-24265	251	19	drainage	drainage	NOUN
brj-24265	251	20	marks	mark	NOUN
brj-24265	251	21	(	(	PUNCT
brj-24265	251	22	jeong	jeong	PROPN
brj-24265	251	23	et	et	PROPN
brj-24265	251	24	al	al	PROPN
brj-24265	251	25	.	.	PROPN
brj-24265	251	26	2024a	2024a	NUM
brj-24265	251	27	,	,	PUNCT
brj-24265	251	28	b	b	NOUN
brj-24265	251	29	;	;	PUNCT
brj-24265	251	30	lee	lee	PROPN
brj-24265	251	31	et	et	PROPN
brj-24265	251	32	al	al	PROPN
brj-24265	251	33	.	.	PROPN
brj-24265	251	34	2024c	2024c	NUM
brj-24265	251	35	)	)	PUNCT
brj-24265	251	36	.	.	PUNCT
brj-24265	252	1	these	these	DET
brj-24265	252	2	characteristics	characteristic	NOUN
brj-24265	252	3	depend	depend	VERB
brj-24265	252	4	on	on	ADP
brj-24265	252	5	the	the	DET
brj-24265	252	6	type	type	NOUN
brj-24265	252	7	of	of	ADP
brj-24265	252	8	forming	form	VERB
brj-24265	252	9	fabric	fabric	NOUN
brj-24265	252	10	and	and	CCONJ
brj-24265	252	11	the	the	DET
brj-24265	252	12	operation	operation	NOUN
brj-24265	252	13	of	of	ADP
brj-24265	252	14	the	the	DET
brj-24265	252	15	paper	paper	NOUN
brj-24265	252	16	machine	machine	NOUN
brj-24265	252	17	.	.	PUNCT
brj-24265	253	1	the	the	DET
brj-24265	253	2	remaining	remain	VERB
brj-24265	253	3	variables	variable	NOUN
brj-24265	253	4	likely	likely	ADV
brj-24265	253	5	exhibited	exhibit	VERB
brj-24265	253	6	low	low	ADJ
brj-24265	253	7	importance	importance	NOUN
brj-24265	253	8	(	(	PUNCT
brj-24265	253	9	fig	fig	NOUN
brj-24265	253	10	.	.	PUNCT
brj-24265	253	11	5	5	NUM
brj-24265	253	12	)	)	PUNCT
brj-24265	253	13	,	,	PUNCT
brj-24265	253	14	because	because	SCONJ
brj-24265	253	15	they	they	PRON
brj-24265	253	16	were	be	AUX
brj-24265	253	17	either	either	ADV
brj-24265	253	18	commonly	commonly	ADV
brj-24265	253	19	observed	observe	VERB
brj-24265	253	20	across	across	ADP
brj-24265	253	21	all	all	DET
brj-24265	253	22	paper	paper	NOUN
brj-24265	253	23	samples	sample	NOUN
brj-24265	253	24	,	,	PUNCT
brj-24265	253	25	such	such	ADJ
brj-24265	253	26	as	as	ADP
brj-24265	253	27	warp	warp	NOUN
brj-24265	253	28	patterns	pattern	NOUN
brj-24265	253	29	,	,	PUNCT
brj-24265	253	30	or	or	CCONJ
brj-24265	253	31	they	they	PRON
brj-24265	253	32	exhibited	exhibit	VERB
brj-24265	253	33	indistinct	indistinct	ADJ
brj-24265	253	34	patterns	pattern	NOUN
brj-24265	253	35	due	due	ADP
brj-24265	253	36	to	to	ADP
brj-24265	253	37	lower	low	ADJ
brj-24265	253	38	intensities	intensity	NOUN
brj-24265	253	39	.	.	PUNCT
brj-24265	254	1	therefore	therefore	ADV
brj-24265	254	2	,	,	PUNCT
brj-24265	254	3	the	the	DET
brj-24265	254	4	step	step	NOUN
brj-24265	254	5	and	and	CCONJ
brj-24265	254	6	angle	angle	NOUN
brj-24265	254	7	data	datum	NOUN
brj-24265	254	8	at	at	ADP
brj-24265	254	9	the	the	DET
brj-24265	254	10	third	third	ADJ
brj-24265	254	11	intensity	intensity	NOUN
brj-24265	254	12	level	level	NOUN
brj-24265	254	13	were	be	AUX
brj-24265	254	14	identified	identify	VERB
brj-24265	254	15	as	as	ADP
brj-24265	254	16	the	the	DET
brj-24265	254	17	most	most	ADV
brj-24265	254	18	significant	significant	ADJ
brj-24265	254	19	features	feature	NOUN
brj-24265	254	20	for	for	ADP
brj-24265	254	21	forensic	forensic	ADJ
brj-24265	254	22	document	document	NOUN
brj-24265	254	23	examination	examination	NOUN
brj-24265	254	24	using	use	VERB
brj-24265	254	25	periodic	periodic	ADJ
brj-24265	254	26	marks	mark	NOUN
brj-24265	254	27	on	on	ADP
brj-24265	254	28	the	the	DET
brj-24265	254	29	paper	paper	NOUN
brj-24265	254	30	.	.	PUNCT
brj-24265	255	1	based	base	VERB
brj-24265	255	2	on	on	ADP
brj-24265	255	3	these	these	DET
brj-24265	255	4	results	result	NOUN
brj-24265	255	5	,	,	PUNCT
brj-24265	255	6	it	it	PRON
brj-24265	255	7	can	can	AUX
brj-24265	255	8	be	be	AUX
brj-24265	255	9	hypothesized	hypothesize	VERB
brj-24265	255	10	that	that	SCONJ
brj-24265	255	11	if	if	SCONJ
brj-24265	255	12	representative	representative	ADJ
brj-24265	255	13	values	value	NOUN
brj-24265	255	14	—	—	PUNCT
brj-24265	255	15	such	such	ADJ
brj-24265	255	16	as	as	ADP
brj-24265	255	17	the	the	DET
brj-24265	255	18	step	step	NOUN
brj-24265	255	19	and	and	CCONJ
brj-24265	255	20	angle	angle	NOUN
brj-24265	255	21	data	datum	NOUN
brj-24265	255	22	peer	peer	NOUN
brj-24265	255	23	-	-	PUNCT
brj-24265	255	24	reviewed	review	VERB
brj-24265	255	25	article	article	NOUN
brj-24265	255	26	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24265	255	27	lee	lee	PROPN
brj-24265	255	28	et	et	PROPN
brj-24265	255	29	al	al	PROPN
brj-24265	255	30	.	.	PROPN
brj-24265	256	1	(	(	PUNCT
brj-24265	256	2	2025	2025	NUM
brj-24265	256	3	)	)	PUNCT
brj-24265	256	4	.	.	PUNCT
brj-24265	257	1	“	"	PUNCT
brj-24265	257	2	wire	wire	NOUN
brj-24265	257	3	-	-	PUNCT
brj-24265	257	4	mark	mark	NOUN
brj-24265	257	5	analysis	analysis	NOUN
brj-24265	257	6	of	of	ADP
brj-24265	257	7	paper	paper	NOUN
brj-24265	257	8	,	,	PUNCT
brj-24265	257	9	”	"	PUNCT
brj-24265	257	10	bioresources	bioresource	VERB
brj-24265	257	11	20(4	20(4	NOUN
brj-24265	257	12	)	)	PUNCT
brj-24265	257	13	,	,	PUNCT
brj-24265	257	14	9208	9208	NUM
brj-24265	257	15	-	-	SYM
brj-24265	257	16	9225	9225	NUM
brj-24265	257	17	.	.	PUNCT
brj-24265	258	1	9221	9221	NUM
brj-24265	258	2	at	at	ADP
brj-24265	258	3	the	the	DET
brj-24265	258	4	third	third	ADJ
brj-24265	258	5	intensity	intensity	NOUN
brj-24265	258	6	level	level	NOUN
brj-24265	258	7	—	—	PUNCT
brj-24265	258	8	match	match	NOUN
brj-24265	258	9	across	across	ADP
brj-24265	258	10	samples	sample	NOUN
brj-24265	258	11	with	with	ADP
brj-24265	258	12	different	different	ADJ
brj-24265	258	13	production	production	NOUN
brj-24265	258	14	dates	date	NOUN
brj-24265	258	15	,	,	PUNCT
brj-24265	258	16	it	it	PRON
brj-24265	258	17	may	may	AUX
brj-24265	258	18	indicate	indicate	VERB
brj-24265	258	19	that	that	SCONJ
brj-24265	258	20	the	the	DET
brj-24265	258	21	forming	form	VERB
brj-24265	258	22	fabric	fabric	NOUN
brj-24265	258	23	was	be	AUX
brj-24265	258	24	not	not	PART
brj-24265	258	25	changed	change	VERB
brj-24265	258	26	during	during	ADP
brj-24265	258	27	that	that	DET
brj-24265	258	28	period	period	NOUN
brj-24265	258	29	.	.	PUNCT
brj-24265	259	1	furthermore	furthermore	ADV
brj-24265	259	2	,	,	PUNCT
brj-24265	259	3	a	a	DET
brj-24265	259	4	higher	high	ADJ
brj-24265	259	5	number	number	NOUN
brj-24265	259	6	of	of	ADP
brj-24265	259	7	matching	match	VERB
brj-24265	259	8	representative	representative	ADJ
brj-24265	259	9	values	value	NOUN
brj-24265	259	10	between	between	ADP
brj-24265	259	11	an	an	DET
brj-24265	259	12	unknown	unknown	ADJ
brj-24265	259	13	sample	sample	NOUN
brj-24265	259	14	and	and	CCONJ
brj-24265	259	15	a	a	DET
brj-24265	259	16	specific	specific	ADJ
brj-24265	259	17	manufacturer	manufacturer	NOUN
brj-24265	259	18	's	's	PART
brj-24265	259	19	class	class	NOUN
brj-24265	259	20	increases	increase	VERB
brj-24265	259	21	the	the	DET
brj-24265	259	22	likelihood	likelihood	NOUN
brj-24265	259	23	of	of	ADP
brj-24265	259	24	identifying	identify	VERB
brj-24265	259	25	the	the	DET
brj-24265	259	26	manufacturer	manufacturer	NOUN
brj-24265	259	27	or	or	CCONJ
brj-24265	259	28	approximating	approximate	VERB
brj-24265	259	29	the	the	DET
brj-24265	259	30	production	production	NOUN
brj-24265	259	31	date	date	NOUN
brj-24265	259	32	of	of	ADP
brj-24265	259	33	the	the	DET
brj-24265	259	34	sample	sample	NOUN
brj-24265	259	35	.	.	PUNCT
brj-24265	260	1	misclassified	misclassifie	VERB
brj-24265	260	2	printing	printing	NOUN
brj-24265	260	3	paper	paper	NOUN
brj-24265	260	4	the	the	DET
brj-24265	260	5	final	final	ADJ
brj-24265	260	6	rf	rf	NOUN
brj-24265	260	7	models	model	NOUN
brj-24265	260	8	trained	train	VERB
brj-24265	260	9	on	on	ADP
brj-24265	260	10	the	the	DET
brj-24265	260	11	step	step	NOUN
brj-24265	260	12	and	and	CCONJ
brj-24265	260	13	angle	angle	NOUN
brj-24265	260	14	data	datum	NOUN
brj-24265	260	15	at	at	ADP
brj-24265	260	16	the	the	DET
brj-24265	260	17	top	top	ADJ
brj-24265	260	18	five	five	NUM
brj-24265	260	19	intensities	intensity	NOUN
brj-24265	260	20	exhibit	exhibit	VERB
brj-24265	260	21	low	low	ADJ
brj-24265	260	22	errors	error	NOUN
brj-24265	260	23	and	and	CCONJ
brj-24265	260	24	high	high	ADJ
brj-24265	260	25	f1	f1	NOUN
brj-24265	260	26	scores	score	NOUN
brj-24265	260	27	(	(	PUNCT
brj-24265	260	28	table	table	NOUN
brj-24265	260	29	4	4	NUM
brj-24265	260	30	)	)	PUNCT
brj-24265	260	31	.	.	PUNCT
brj-24265	261	1	these	these	DET
brj-24265	261	2	findings	finding	NOUN
brj-24265	261	3	corresponded	correspond	VERB
brj-24265	261	4	to	to	ADP
brj-24265	261	5	those	those	PRON
brj-24265	261	6	of	of	ADP
brj-24265	261	7	previous	previous	ADJ
brj-24265	261	8	studies	study	NOUN
brj-24265	261	9	(	(	PUNCT
brj-24265	261	10	jeong	jeong	PROPN
brj-24265	261	11	et	et	PROPN
brj-24265	261	12	al	al	PROPN
brj-24265	261	13	.	.	PROPN
brj-24265	261	14	2024a	2024a	NUM
brj-24265	261	15	,	,	PUNCT
brj-24265	261	16	b	b	NOUN
brj-24265	261	17	;	;	PUNCT
brj-24265	261	18	lee	lee	PROPN
brj-24265	261	19	et	et	PROPN
brj-24265	261	20	al	al	PROPN
brj-24265	261	21	.	.	PROPN
brj-24265	261	22	2024c	2024c	NUM
brj-24265	261	23	)	)	PUNCT
brj-24265	261	24	.	.	PUNCT
brj-24265	262	1	however	however	ADV
brj-24265	262	2	,	,	PUNCT
brj-24265	262	3	the	the	DET
brj-24265	262	4	f1	f1	NOUN
brj-24265	262	5	score	score	NOUN
brj-24265	262	6	was	be	AUX
brj-24265	262	7	very	very	ADV
brj-24265	262	8	low	low	ADJ
brj-24265	262	9	,	,	PUNCT
brj-24265	262	10	indicating	indicate	VERB
brj-24265	262	11	that	that	SCONJ
brj-24265	262	12	the	the	DET
brj-24265	262	13	model	model	NOUN
brj-24265	262	14	trained	train	VERB
brj-24265	262	15	without	without	ADP
brj-24265	262	16	intensity	intensity	NOUN
brj-24265	262	17	data	datum	NOUN
brj-24265	262	18	performed	perform	VERB
brj-24265	262	19	poorly	poorly	ADV
brj-24265	262	20	in	in	ADP
brj-24265	262	21	printing	print	VERB
brj-24265	262	22	paper	paper	NOUN
brj-24265	262	23	dating	date	VERB
brj-24265	262	24	.	.	PUNCT
brj-24265	263	1	this	this	DET
brj-24265	263	2	limitation	limitation	NOUN
brj-24265	263	3	can	can	AUX
brj-24265	263	4	be	be	AUX
brj-24265	263	5	attributed	attribute	VERB
brj-24265	263	6	to	to	ADP
brj-24265	263	7	the	the	DET
brj-24265	263	8	structural	structural	ADJ
brj-24265	263	9	characteristics	characteristic	NOUN
brj-24265	263	10	of	of	ADP
brj-24265	263	11	papers	paper	NOUN
brj-24265	263	12	manufactured	manufacture	VERB
brj-24265	263	13	using	use	VERB
brj-24265	263	14	a	a	DET
brj-24265	263	15	twin	twin	ADJ
brj-24265	263	16	-	-	PUNCT
brj-24265	263	17	wire	wire	NOUN
brj-24265	263	18	system	system	NOUN
brj-24265	263	19	,	,	PUNCT
brj-24265	263	20	as	as	SCONJ
brj-24265	263	21	shown	show	VERB
brj-24265	263	22	in	in	ADP
brj-24265	263	23	the	the	DET
brj-24265	263	24	pca	pca	NOUN
brj-24265	263	25	results	result	NOUN
brj-24265	263	26	(	(	PUNCT
brj-24265	263	27	fig	fig	NOUN
brj-24265	263	28	.	.	PUNCT
brj-24265	264	1	3b	3b	NUM
brj-24265	264	2	)	)	PUNCT
brj-24265	264	3	,	,	PUNCT
brj-24265	264	4	where	where	SCONJ
brj-24265	264	5	the	the	DET
brj-24265	264	6	periodic	periodic	ADJ
brj-24265	264	7	marks	mark	NOUN
brj-24265	264	8	on	on	ADP
brj-24265	264	9	the	the	DET
brj-24265	264	10	top	top	ADJ
brj-24265	264	11	and	and	CCONJ
brj-24265	264	12	bottom	bottom	ADJ
brj-24265	264	13	sides	side	NOUN
brj-24265	264	14	are	be	AUX
brj-24265	264	15	distinct	distinct	ADJ
brj-24265	264	16	.	.	PUNCT
brj-24265	265	1	these	these	DET
brj-24265	265	2	findings	finding	NOUN
brj-24265	265	3	indicate	indicate	VERB
brj-24265	265	4	the	the	DET
brj-24265	265	5	need	need	NOUN
brj-24265	265	6	to	to	PART
brj-24265	265	7	treat	treat	VERB
brj-24265	265	8	the	the	DET
brj-24265	265	9	top	top	ADJ
brj-24265	265	10	and	and	CCONJ
brj-24265	265	11	bottom	bottom	ADJ
brj-24265	265	12	sides	side	NOUN
brj-24265	265	13	as	as	ADP
brj-24265	265	14	separate	separate	ADJ
brj-24265	265	15	classes	class	NOUN
brj-24265	265	16	within	within	ADP
brj-24265	265	17	the	the	DET
brj-24265	265	18	dataset	dataset	NOUN
brj-24265	265	19	.	.	PUNCT
brj-24265	266	1	therefore	therefore	ADV
brj-24265	266	2	,	,	PUNCT
brj-24265	266	3	when	when	SCONJ
brj-24265	266	4	constructing	construct	VERB
brj-24265	266	5	a	a	DET
brj-24265	266	6	dataset	dataset	NOUN
brj-24265	266	7	using	use	VERB
brj-24265	266	8	step	step	NOUN
brj-24265	266	9	and	and	CCONJ
brj-24265	266	10	angle	angle	NOUN
brj-24265	266	11	information	information	NOUN
brj-24265	266	12	obtained	obtain	VERB
brj-24265	266	13	from	from	ADP
brj-24265	266	14	a	a	DET
brj-24265	266	15	two	two	NUM
brj-24265	266	16	-	-	PUNCT
brj-24265	266	17	dimensional	dimensional	ADJ
brj-24265	266	18	laboratory	laboratory	NOUN
brj-24265	266	19	formation	formation	NOUN
brj-24265	266	20	sensor	sensor	NOUN
brj-24265	266	21	,	,	PUNCT
brj-24265	266	22	it	it	PRON
brj-24265	266	23	is	be	AUX
brj-24265	266	24	crucial	crucial	ADJ
brj-24265	266	25	to	to	PART
brj-24265	266	26	assess	assess	VERB
brj-24265	266	27	the	the	DET
brj-24265	266	28	consistency	consistency	NOUN
brj-24265	266	29	of	of	ADP
brj-24265	266	30	weave	weave	PROPN
brj-24265	266	31	mark	mark	NOUN
brj-24265	266	32	patterns	pattern	NOUN
brj-24265	266	33	between	between	ADP
brj-24265	266	34	the	the	DET
brj-24265	266	35	top	top	ADJ
brj-24265	266	36	and	and	CCONJ
brj-24265	266	37	bottom	bottom	ADJ
brj-24265	266	38	surfaces	surface	NOUN
brj-24265	266	39	.	.	PUNCT
brj-24265	267	1	figure	figure	NOUN
brj-24265	267	2	7	7	NUM
brj-24265	267	3	shows	show	VERB
brj-24265	267	4	the	the	DET
brj-24265	267	5	confusion	confusion	NOUN
brj-24265	267	6	matrix	matrix	NOUN
brj-24265	267	7	of	of	ADP
brj-24265	267	8	the	the	DET
brj-24265	267	9	random	random	ADJ
brj-24265	267	10	forest	forest	NOUN
brj-24265	267	11	(	(	PUNCT
brj-24265	267	12	rf	rf	NOUN
brj-24265	267	13	)	)	PUNCT
brj-24265	267	14	model	model	NOUN
brj-24265	267	15	trained	train	VERB
brj-24265	267	16	using	use	VERB
brj-24265	267	17	step	step	NOUN
brj-24265	267	18	and	and	CCONJ
brj-24265	267	19	angle	angle	NOUN
brj-24265	267	20	data	datum	NOUN
brj-24265	267	21	at	at	ADP
brj-24265	267	22	the	the	DET
brj-24265	267	23	top	top	ADJ
brj-24265	267	24	five	five	NUM
brj-24265	267	25	intensity	intensity	NOUN
brj-24265	267	26	levels	level	NOUN
brj-24265	267	27	.	.	PUNCT
brj-24265	268	1	based	base	VERB
brj-24265	268	2	on	on	ADP
brj-24265	268	3	the	the	DET
brj-24265	268	4	confusion	confusion	NOUN
brj-24265	268	5	matrix	matrix	NOUN
brj-24265	268	6	,	,	PUNCT
brj-24265	268	7	the	the	DET
brj-24265	268	8	most	most	ADV
brj-24265	268	9	frequently	frequently	ADV
brj-24265	268	10	misclassified	misclassifie	VERB
brj-24265	268	11	classes	class	NOUN
brj-24265	268	12	were	be	AUX
brj-24265	268	13	h202103	h202103	NOUN
brj-24265	268	14	,	,	PUNCT
brj-24265	268	15	h202112	h202112	PROPN
brj-24265	268	16	,	,	PUNCT
brj-24265	268	17	and	and	CCONJ
brj-24265	268	18	h202210	h202210	PROPN
brj-24265	268	19	.	.	PUNCT
brj-24265	269	1	it	it	PRON
brj-24265	269	2	is	be	AUX
brj-24265	269	3	assumed	assume	VERB
brj-24265	269	4	that	that	SCONJ
brj-24265	269	5	periodic	periodic	ADJ
brj-24265	269	6	marks	mark	NOUN
brj-24265	269	7	from	from	ADP
brj-24265	269	8	the	the	DET
brj-24265	269	9	top	top	ADJ
brj-24265	269	10	and	and	CCONJ
brj-24265	269	11	bottom	bottom	ADJ
brj-24265	269	12	sides	side	NOUN
brj-24265	269	13	were	be	AUX
brj-24265	269	14	mixed	mix	VERB
brj-24265	269	15	during	during	ADP
brj-24265	269	16	dataset	dataset	ADJ
brj-24265	269	17	construction	construction	NOUN
brj-24265	269	18	.	.	PUNCT
brj-24265	270	1	in	in	ADP
brj-24265	270	2	a	a	DET
brj-24265	270	3	twin	twin	ADJ
brj-24265	270	4	-	-	PUNCT
brj-24265	270	5	wire	wire	NOUN
brj-24265	270	6	system	system	NOUN
brj-24265	270	7	,	,	PUNCT
brj-24265	270	8	if	if	SCONJ
brj-24265	270	9	different	different	ADJ
brj-24265	270	10	forming	form	VERB
brj-24265	270	11	fabrics	fabric	NOUN
brj-24265	270	12	are	be	AUX
brj-24265	270	13	used	use	VERB
brj-24265	270	14	for	for	ADP
brj-24265	270	15	the	the	DET
brj-24265	270	16	top	top	ADJ
brj-24265	270	17	and	and	CCONJ
brj-24265	270	18	bottom	bottom	ADJ
brj-24265	270	19	wires	wire	NOUN
brj-24265	270	20	,	,	PUNCT
brj-24265	270	21	distinct	distinct	ADJ
brj-24265	270	22	periodic	periodic	ADJ
brj-24265	270	23	mark	mark	NOUN
brj-24265	270	24	patterns	pattern	NOUN
brj-24265	270	25	can	can	AUX
brj-24265	270	26	be	be	AUX
brj-24265	270	27	imprinted	imprint	VERB
brj-24265	270	28	on	on	ADP
brj-24265	270	29	each	each	DET
brj-24265	270	30	side	side	NOUN
brj-24265	270	31	of	of	ADP
brj-24265	270	32	the	the	DET
brj-24265	270	33	paper	paper	NOUN
brj-24265	270	34	surface	surface	NOUN
brj-24265	270	35	.	.	PUNCT
brj-24265	271	1	fig	fig	NOUN
brj-24265	271	2	.	.	PUNCT
brj-24265	272	1	7	7	X
brj-24265	272	2	.	.	X
brj-24265	272	3	confusion	confusion	NOUN
brj-24265	272	4	matrix	matrix	NOUN
brj-24265	272	5	of	of	ADP
brj-24265	272	6	the	the	DET
brj-24265	272	7	rf	rf	NOUN
brj-24265	272	8	model	model	NOUN
brj-24265	272	9	trained	train	VERB
brj-24265	272	10	using	use	VERB
brj-24265	272	11	step	step	NOUN
brj-24265	272	12	and	and	CCONJ
brj-24265	272	13	angle	angle	NOUN
brj-24265	272	14	data	datum	NOUN
brj-24265	272	15	at	at	ADP
brj-24265	272	16	the	the	DET
brj-24265	272	17	top	top	ADJ
brj-24265	272	18	five	five	NUM
brj-24265	272	19	intensity	intensity	NOUN
brj-24265	272	20	levels	level	NOUN
brj-24265	272	21	.	.	PUNCT
brj-24265	273	1	each	each	DET
brj-24265	273	2	cell	cell	NOUN
brj-24265	273	3	represents	represent	VERB
brj-24265	273	4	the	the	DET
brj-24265	273	5	number	number	NOUN
brj-24265	273	6	of	of	ADP
brj-24265	273	7	samples	sample	NOUN
brj-24265	273	8	predicted	predict	VERB
brj-24265	273	9	for	for	ADP
brj-24265	273	10	each	each	DET
brj-24265	273	11	class	class	NOUN
brj-24265	273	12	,	,	PUNCT
brj-24265	273	13	with	with	ADP
brj-24265	273	14	darker	dark	ADJ
brj-24265	273	15	shades	shade	NOUN
brj-24265	273	16	indicating	indicate	VERB
brj-24265	273	17	higher	high	ADJ
brj-24265	273	18	frequencies	frequency	NOUN
brj-24265	273	19	.	.	PUNCT
brj-24265	274	1	peer	peer	NOUN
brj-24265	274	2	-	-	PUNCT
brj-24265	274	3	reviewed	review	VERB
brj-24265	274	4	article	article	NOUN
brj-24265	274	5	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24265	274	6	lee	lee	PROPN
brj-24265	274	7	et	et	PROPN
brj-24265	274	8	al	al	PROPN
brj-24265	274	9	.	.	PROPN
brj-24265	275	1	(	(	PUNCT
brj-24265	275	2	2025	2025	NUM
brj-24265	275	3	)	)	PUNCT
brj-24265	275	4	.	.	PUNCT
brj-24265	276	1	“	"	PUNCT
brj-24265	276	2	wire	wire	NOUN
brj-24265	276	3	-	-	PUNCT
brj-24265	276	4	mark	mark	NOUN
brj-24265	276	5	analysis	analysis	NOUN
brj-24265	276	6	of	of	ADP
brj-24265	276	7	paper	paper	NOUN
brj-24265	276	8	,	,	PUNCT
brj-24265	276	9	”	"	PUNCT
brj-24265	276	10	bioresources	bioresource	VERB
brj-24265	276	11	20(4	20(4	NOUN
brj-24265	276	12	)	)	PUNCT
brj-24265	276	13	,	,	PUNCT
brj-24265	276	14	9208	9208	NUM
brj-24265	276	15	-	-	SYM
brj-24265	276	16	9225	9225	NUM
brj-24265	276	17	.	.	PUNCT
brj-24265	277	1	9222	9222	NUM
brj-24265	277	2	simplified	simplify	VERB
brj-24265	277	3	univariate	univariate	ADJ
brj-24265	277	4	strategy	strategy	NOUN
brj-24265	277	5	for	for	ADP
brj-24265	277	6	printing	print	VERB
brj-24265	277	7	paper	paper	NOUN
brj-24265	277	8	dating	date	VERB
brj-24265	277	9	a	a	DET
brj-24265	277	10	total	total	NOUN
brj-24265	277	11	of	of	ADP
brj-24265	277	12	50	50	NUM
brj-24265	277	13	sheets	sheet	NOUN
brj-24265	277	14	were	be	AUX
brj-24265	277	15	randomly	randomly	ADV
brj-24265	277	16	sampled	sample	VERB
brj-24265	277	17	from	from	ADP
brj-24265	277	18	office	office	NOUN
brj-24265	277	19	paper	paper	NOUN
brj-24265	277	20	produced	produce	VERB
brj-24265	277	21	by	by	ADP
brj-24265	277	22	the	the	DET
brj-24265	277	23	same	same	ADJ
brj-24265	277	24	manufacturer	manufacturer	NOUN
brj-24265	277	25	as	as	ADP
brj-24265	277	26	the	the	DET
brj-24265	277	27	dataset	dataset	NOUN
brj-24265	277	28	,	,	PUNCT
brj-24265	277	29	but	but	CCONJ
brj-24265	277	30	with	with	ADP
brj-24265	277	31	different	different	ADJ
brj-24265	277	32	production	production	NOUN
brj-24265	277	33	dates	date	NOUN
brj-24265	277	34	.	.	PUNCT
brj-24265	278	1	the	the	DET
brj-24265	278	2	step	step	NOUN
brj-24265	278	3	and	and	CCONJ
brj-24265	278	4	angle	angle	NOUN
brj-24265	278	5	values	value	NOUN
brj-24265	278	6	at	at	ADP
brj-24265	278	7	the	the	DET
brj-24265	278	8	third	third	ADJ
brj-24265	278	9	intensity	intensity	NOUN
brj-24265	278	10	peak	peak	NOUN
brj-24265	278	11	were	be	AUX
brj-24265	278	12	measured	measure	VERB
brj-24265	278	13	on	on	ADP
brj-24265	278	14	both	both	CCONJ
brj-24265	278	15	the	the	DET
brj-24265	278	16	top	top	ADJ
brj-24265	278	17	and	and	CCONJ
brj-24265	278	18	bottom	bottom	ADJ
brj-24265	278	19	sides	side	NOUN
brj-24265	278	20	.	.	PUNCT
brj-24265	279	1	among	among	ADP
brj-24265	279	2	the	the	DET
brj-24265	279	3	three	three	NUM
brj-24265	279	4	unknown	unknown	ADJ
brj-24265	279	5	samples	sample	NOUN
brj-24265	279	6	,	,	PUNCT
brj-24265	279	7	unknown	unknown	ADJ
brj-24265	279	8	1	1	NUM
brj-24265	279	9	was	be	AUX
brj-24265	279	10	produced	produce	VERB
brj-24265	279	11	in	in	ADP
brj-24265	279	12	2022	2022	NUM
brj-24265	279	13	and	and	CCONJ
brj-24265	279	14	unknown	unknown	ADJ
brj-24265	279	15	2	2	NUM
brj-24265	279	16	in	in	ADP
brj-24265	279	17	2020	2020	NUM
brj-24265	279	18	,	,	PUNCT
brj-24265	279	19	whereas	whereas	SCONJ
brj-24265	279	20	unknown	unknown	ADJ
brj-24265	279	21	3	3	NUM
brj-24265	279	22	showed	show	VERB
brj-24265	279	23	no	no	DET
brj-24265	279	24	matches	match	NOUN
brj-24265	279	25	with	with	ADP
brj-24265	279	26	any	any	DET
brj-24265	279	27	samples	sample	NOUN
brj-24265	279	28	in	in	ADP
brj-24265	279	29	the	the	DET
brj-24265	279	30	existing	exist	VERB
brj-24265	279	31	dataset	dataset	NOUN
brj-24265	279	32	.	.	PUNCT
brj-24265	280	1	additionally	additionally	ADV
brj-24265	280	2	,	,	PUNCT
brj-24265	280	3	it	it	PRON
brj-24265	280	4	is	be	AUX
brj-24265	280	5	assumed	assume	VERB
brj-24265	280	6	that	that	SCONJ
brj-24265	280	7	the	the	DET
brj-24265	280	8	data	data	NOUN
brj-24265	280	9	points	point	NOUN
brj-24265	280	10	excluded	exclude	VERB
brj-24265	280	11	from	from	ADP
brj-24265	280	12	all	all	DET
brj-24265	280	13	clusters	cluster	NOUN
brj-24265	280	14	may	may	AUX
brj-24265	280	15	have	have	AUX
brj-24265	280	16	been	be	AUX
brj-24265	280	17	influenced	influence	VERB
brj-24265	280	18	by	by	ADP
brj-24265	280	19	fluctuations	fluctuation	NOUN
brj-24265	280	20	in	in	ADP
brj-24265	280	21	intensity	intensity	NOUN
brj-24265	280	22	values	value	NOUN
brj-24265	280	23	,	,	PUNCT
brj-24265	280	24	as	as	SCONJ
brj-24265	280	25	such	such	ADJ
brj-24265	280	26	variations	variation	NOUN
brj-24265	280	27	can	can	AUX
brj-24265	280	28	alter	alter	VERB
brj-24265	280	29	the	the	DET
brj-24265	280	30	ranking	ranking	NOUN
brj-24265	280	31	of	of	ADP
brj-24265	280	32	step	step	NOUN
brj-24265	280	33	and	and	CCONJ
brj-24265	280	34	angle	angle	NOUN
brj-24265	280	35	features	feature	NOUN
brj-24265	280	36	based	base	VERB
brj-24265	280	37	on	on	ADP
brj-24265	280	38	intensity	intensity	NOUN
brj-24265	280	39	.	.	PUNCT
brj-24265	281	1	these	these	DET
brj-24265	281	2	results	result	NOUN
brj-24265	281	3	suggest	suggest	VERB
brj-24265	281	4	that	that	SCONJ
brj-24265	281	5	if	if	SCONJ
brj-24265	281	6	a	a	DET
brj-24265	281	7	comprehensive	comprehensive	ADJ
brj-24265	281	8	dataset	dataset	NOUN
brj-24265	281	9	is	be	AUX
brj-24265	281	10	available	available	ADJ
brj-24265	281	11	,	,	PUNCT
brj-24265	281	12	a	a	DET
brj-24265	281	13	simple	simple	ADJ
brj-24265	281	14	univariate	univariate	ADJ
brj-24265	281	15	approach	approach	NOUN
brj-24265	281	16	using	use	VERB
brj-24265	281	17	representative	representative	ADJ
brj-24265	281	18	values	value	NOUN
brj-24265	281	19	such	such	ADJ
brj-24265	281	20	as	as	ADP
brj-24265	281	21	the	the	DET
brj-24265	281	22	step	step	NOUN
brj-24265	281	23	and	and	CCONJ
brj-24265	281	24	angle	angle	NOUN
brj-24265	281	25	at	at	ADP
brj-24265	281	26	the	the	DET
brj-24265	281	27	third	third	ADJ
brj-24265	281	28	intensity	intensity	NOUN
brj-24265	281	29	can	can	AUX
brj-24265	281	30	be	be	AUX
brj-24265	281	31	effectively	effectively	ADV
brj-24265	281	32	applied	apply	VERB
brj-24265	281	33	for	for	ADP
brj-24265	281	34	estimating	estimate	VERB
brj-24265	281	35	the	the	DET
brj-24265	281	36	production	production	NOUN
brj-24265	281	37	period	period	NOUN
brj-24265	281	38	of	of	ADP
brj-24265	281	39	printing	printing	NOUN
brj-24265	281	40	paper	paper	NOUN
brj-24265	281	41	.	.	PUNCT
brj-24265	282	1	furthermore	furthermore	ADV
brj-24265	282	2	,	,	PUNCT
brj-24265	282	3	division	division	NOUN
brj-24265	282	4	into	into	ADP
brj-24265	282	5	two	two	NUM
brj-24265	282	6	subgroups	subgroup	NOUN
brj-24265	282	7	within	within	ADP
brj-24265	282	8	the	the	DET
brj-24265	282	9	same	same	ADJ
brj-24265	282	10	class	class	NOUN
brj-24265	282	11	was	be	AUX
brj-24265	282	12	also	also	ADV
brj-24265	282	13	observed	observe	VERB
brj-24265	282	14	using	use	VERB
brj-24265	282	15	this	this	DET
brj-24265	282	16	method	method	NOUN
brj-24265	282	17	.	.	PUNCT
brj-24265	283	1	this	this	DET
brj-24265	283	2	division	division	NOUN
brj-24265	283	3	may	may	AUX
brj-24265	283	4	be	be	AUX
brj-24265	283	5	attributed	attribute	VERB
brj-24265	283	6	to	to	ADP
brj-24265	283	7	the	the	DET
brj-24265	283	8	appearance	appearance	NOUN
brj-24265	283	9	of	of	ADP
brj-24265	283	10	different	different	ADJ
brj-24265	283	11	weave	weave	NOUN
brj-24265	283	12	marks	mark	NOUN
brj-24265	283	13	on	on	ADP
brj-24265	283	14	the	the	DET
brj-24265	283	15	top	top	ADJ
brj-24265	283	16	and	and	CCONJ
brj-24265	283	17	bottom	bottom	ADJ
brj-24265	283	18	surfaces	surface	NOUN
brj-24265	283	19	of	of	ADP
brj-24265	283	20	the	the	DET
brj-24265	283	21	paper	paper	NOUN
brj-24265	283	22	,	,	PUNCT
brj-24265	283	23	likely	likely	ADJ
brj-24265	283	24	due	due	ADP
brj-24265	283	25	to	to	ADP
brj-24265	283	26	the	the	DET
brj-24265	283	27	use	use	NOUN
brj-24265	283	28	of	of	ADP
brj-24265	283	29	a	a	DET
brj-24265	283	30	twin	twin	ADJ
brj-24265	283	31	-	-	PUNCT
brj-24265	283	32	wire	wire	NOUN
brj-24265	283	33	papermaking	papermaking	NOUN
brj-24265	283	34	system	system	NOUN
brj-24265	283	35	.	.	PUNCT
brj-24265	284	1	from	from	ADP
brj-24265	284	2	another	another	DET
brj-24265	284	3	perspective	perspective	NOUN
brj-24265	284	4	,	,	PUNCT
brj-24265	284	5	when	when	SCONJ
brj-24265	284	6	representative	representative	ADJ
brj-24265	284	7	class	class	NOUN
brj-24265	284	8	values	value	NOUN
brj-24265	284	9	match	match	VERB
brj-24265	284	10	between	between	ADP
brj-24265	284	11	samples	sample	NOUN
brj-24265	284	12	with	with	ADP
brj-24265	284	13	different	different	ADJ
brj-24265	284	14	production	production	NOUN
brj-24265	284	15	dates	date	NOUN
brj-24265	284	16	,	,	PUNCT
brj-24265	284	17	it	it	PRON
brj-24265	284	18	can	can	AUX
brj-24265	284	19	be	be	AUX
brj-24265	284	20	inferred	infer	VERB
brj-24265	284	21	that	that	SCONJ
brj-24265	284	22	the	the	DET
brj-24265	284	23	same	same	ADJ
brj-24265	284	24	forming	form	VERB
brj-24265	284	25	fabric	fabric	NOUN
brj-24265	284	26	was	be	AUX
brj-24265	284	27	used	use	VERB
brj-24265	284	28	during	during	ADP
brj-24265	284	29	that	that	DET
brj-24265	284	30	period	period	NOUN
brj-24265	284	31	.	.	PUNCT
brj-24265	285	1	therefore	therefore	ADV
brj-24265	285	2	,	,	PUNCT
brj-24265	285	3	continuously	continuously	ADV
brj-24265	285	4	updating	update	VERB
brj-24265	285	5	the	the	DET
brj-24265	285	6	representative	representative	ADJ
brj-24265	285	7	value	value	NOUN
brj-24265	285	8	database	database	NOUN
brj-24265	285	9	over	over	ADP
brj-24265	285	10	time	time	NOUN
brj-24265	285	11	can	can	AUX
brj-24265	285	12	help	help	AUX
brj-24265	285	13	identify	identify	VERB
brj-24265	285	14	the	the	DET
brj-24265	285	15	period	period	NOUN
brj-24265	285	16	during	during	ADP
brj-24265	285	17	which	which	PRON
brj-24265	285	18	forming	form	VERB
brj-24265	285	19	fabric	fabric	NOUN
brj-24265	285	20	changes	change	NOUN
brj-24265	285	21	occurred	occur	VERB
brj-24265	285	22	.	.	PUNCT
brj-24265	286	1	this	this	DET
brj-24265	286	2	approach	approach	NOUN
brj-24265	286	3	can	can	AUX
brj-24265	286	4	be	be	AUX
brj-24265	286	5	further	far	ADV
brj-24265	286	6	applied	apply	VERB
brj-24265	286	7	to	to	PART
brj-24265	286	8	estimate	estimate	VERB
brj-24265	286	9	the	the	DET
brj-24265	286	10	date	date	NOUN
brj-24265	286	11	of	of	ADP
brj-24265	286	12	production	production	NOUN
brj-24265	286	13	in	in	ADP
brj-24265	286	14	the	the	DET
brj-24265	286	15	context	context	NOUN
brj-24265	286	16	of	of	ADP
brj-24265	286	17	questioned	question	VERB
brj-24265	286	18	document	document	NOUN
brj-24265	286	19	examination	examination	NOUN
brj-24265	286	20	.	.	PUNCT
brj-24265	287	1	fig	fig	NOUN
brj-24265	287	2	.	.	PUNCT
brj-24265	288	1	8	8	X
brj-24265	288	2	.	.	X
brj-24265	289	1	mapping	map	VERB
brj-24265	289	2	unknown	unknown	ADJ
brj-24265	289	3	samples	sample	NOUN
brj-24265	289	4	with	with	ADP
brj-24265	289	5	known	known	ADJ
brj-24265	289	6	manufacturer	manufacturer	NOUN
brj-24265	289	7	but	but	CCONJ
brj-24265	289	8	different	different	ADJ
brj-24265	289	9	production	production	NOUN
brj-24265	289	10	dates	date	VERB
brj-24265	289	11	using	use	VERB
brj-24265	289	12	step	step	NOUN
brj-24265	289	13	and	and	CCONJ
brj-24265	289	14	angle	angle	NOUN
brj-24265	289	15	values	value	NOUN
brj-24265	289	16	at	at	ADP
brj-24265	289	17	the	the	DET
brj-24265	289	18	third	third	ADJ
brj-24265	289	19	intensity	intensity	NOUN
brj-24265	289	20	.	.	PUNCT
brj-24265	290	1	limitations	limitation	NOUN
brj-24265	290	2	and	and	CCONJ
brj-24265	290	3	future	future	ADJ
brj-24265	290	4	studies	study	NOUN
brj-24265	290	5	this	this	DET
brj-24265	290	6	study	study	NOUN
brj-24265	290	7	considered	consider	VERB
brj-24265	290	8	the	the	DET
brj-24265	290	9	dating	dating	NOUN
brj-24265	290	10	of	of	ADP
brj-24265	290	11	printing	printing	NOUN
brj-24265	290	12	paper	paper	NOUN
brj-24265	290	13	using	use	VERB
brj-24265	290	14	periodic	periodic	ADJ
brj-24265	290	15	marks	mark	NOUN
brj-24265	290	16	on	on	ADP
brj-24265	290	17	its	its	PRON
brj-24265	290	18	paper	paper	NOUN
brj-24265	290	19	surface	surface	NOUN
brj-24265	290	20	for	for	ADP
brj-24265	290	21	forensic	forensic	ADJ
brj-24265	290	22	purposes	purpose	NOUN
brj-24265	290	23	.	.	PUNCT
brj-24265	291	1	the	the	DET
brj-24265	291	2	dataset	dataset	NOUN
brj-24265	291	3	comprised	comprise	VERB
brj-24265	291	4	the	the	DET
brj-24265	291	5	steps	step	NOUN
brj-24265	291	6	and	and	CCONJ
brj-24265	291	7	angles	angle	NOUN
brj-24265	291	8	of	of	ADP
brj-24265	291	9	periodic	periodic	ADJ
brj-24265	291	10	marks	mark	NOUN
brj-24265	291	11	on	on	ADP
brj-24265	291	12	the	the	DET
brj-24265	291	13	paper	paper	NOUN
brj-24265	291	14	surface	surface	NOUN
brj-24265	291	15	.	.	PUNCT
brj-24265	292	1	during	during	ADP
brj-24265	292	2	dataset	dataset	ADJ
brj-24265	292	3	construction	construction	NOUN
brj-24265	292	4	,	,	PUNCT
brj-24265	292	5	the	the	DET
brj-24265	292	6	step	step	NOUN
brj-24265	292	7	and	and	CCONJ
brj-24265	292	8	angle	angle	NOUN
brj-24265	292	9	were	be	AUX
brj-24265	292	10	measured	measure	VERB
brj-24265	292	11	randomly	randomly	ADV
brj-24265	292	12	from	from	ADP
brj-24265	292	13	either	either	CCONJ
brj-24265	292	14	the	the	DET
brj-24265	292	15	top	top	ADJ
brj-24265	292	16	or	or	CCONJ
brj-24265	292	17	bottom	bottom	ADJ
brj-24265	292	18	side	side	NOUN
brj-24265	292	19	of	of	ADP
brj-24265	292	20	the	the	DET
brj-24265	292	21	paper	paper	NOUN
brj-24265	292	22	,	,	PUNCT
brj-24265	292	23	which	which	PRON
brj-24265	292	24	may	may	AUX
brj-24265	292	25	introduce	introduce	VERB
brj-24265	292	26	bias	bias	NOUN
brj-24265	292	27	into	into	ADP
brj-24265	292	28	peer	peer	NOUN
brj-24265	292	29	-	-	PUNCT
brj-24265	292	30	reviewed	review	VERB
brj-24265	292	31	article	article	NOUN
brj-24265	292	32	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24265	292	33	lee	lee	PROPN
brj-24265	292	34	et	et	PROPN
brj-24265	292	35	al	al	PROPN
brj-24265	292	36	.	.	PROPN
brj-24265	293	1	(	(	PUNCT
brj-24265	293	2	2025	2025	NUM
brj-24265	293	3	)	)	PUNCT
brj-24265	293	4	.	.	PUNCT
brj-24265	294	1	“	"	PUNCT
brj-24265	294	2	wire	wire	NOUN
brj-24265	294	3	-	-	PUNCT
brj-24265	294	4	mark	mark	NOUN
brj-24265	294	5	analysis	analysis	NOUN
brj-24265	294	6	of	of	ADP
brj-24265	294	7	paper	paper	NOUN
brj-24265	294	8	,	,	PUNCT
brj-24265	294	9	”	"	PUNCT
brj-24265	294	10	bioresources	bioresource	VERB
brj-24265	294	11	20(4	20(4	NOUN
brj-24265	294	12	)	)	PUNCT
brj-24265	294	13	,	,	PUNCT
brj-24265	294	14	9208	9208	NUM
brj-24265	294	15	-	-	SYM
brj-24265	294	16	9225	9225	NUM
brj-24265	294	17	.	.	PUNCT
brj-24265	295	1	9223	9223	NUM
brj-24265	296	1	the	the	DET
brj-24265	296	2	classification	classification	NOUN
brj-24265	296	3	models	model	NOUN
brj-24265	296	4	.	.	PUNCT
brj-24265	297	1	the	the	DET
brj-24265	297	2	periodic	periodic	ADJ
brj-24265	297	3	marks	mark	NOUN
brj-24265	297	4	on	on	ADP
brj-24265	297	5	the	the	DET
brj-24265	297	6	top	top	ADJ
brj-24265	297	7	and	and	CCONJ
brj-24265	297	8	bottom	bottom	ADJ
brj-24265	297	9	sides	side	NOUN
brj-24265	297	10	of	of	ADP
brj-24265	297	11	the	the	DET
brj-24265	297	12	paper	paper	NOUN
brj-24265	297	13	differ	differ	VERB
brj-24265	297	14	if	if	SCONJ
brj-24265	297	15	manufactured	manufacture	VERB
brj-24265	297	16	in	in	ADP
brj-24265	297	17	a	a	DET
brj-24265	297	18	twin	twin	ADJ
brj-24265	297	19	-	-	PUNCT
brj-24265	297	20	wire	wire	NOUN
brj-24265	297	21	system	system	NOUN
brj-24265	297	22	.	.	PUNCT
brj-24265	298	1	in	in	ADP
brj-24265	298	2	addition	addition	NOUN
brj-24265	298	3	,	,	PUNCT
brj-24265	298	4	if	if	SCONJ
brj-24265	298	5	the	the	DET
brj-24265	298	6	manufacturer	manufacturer	NOUN
brj-24265	298	7	does	do	AUX
brj-24265	298	8	not	not	PART
brj-24265	298	9	change	change	VERB
brj-24265	298	10	the	the	DET
brj-24265	298	11	forming	form	VERB
brj-24265	298	12	fabric	fabric	NOUN
brj-24265	298	13	used	use	VERB
brj-24265	298	14	in	in	ADP
brj-24265	298	15	production	production	NOUN
brj-24265	298	16	,	,	PUNCT
brj-24265	298	17	it	it	PRON
brj-24265	298	18	may	may	AUX
brj-24265	298	19	not	not	PART
brj-24265	298	20	provide	provide	VERB
brj-24265	298	21	clear	clear	ADJ
brj-24265	298	22	evidence	evidence	NOUN
brj-24265	298	23	for	for	ADP
brj-24265	298	24	document	document	NOUN
brj-24265	298	25	dating	date	VERB
brj-24265	298	26	.	.	PUNCT
brj-24265	299	1	it	it	PRON
brj-24265	299	2	is	be	AUX
brj-24265	299	3	also	also	ADV
brj-24265	299	4	common	common	ADJ
brj-24265	299	5	for	for	ADP
brj-24265	299	6	machine	machine	NOUN
brj-24265	299	7	operators	operator	NOUN
brj-24265	299	8	to	to	PART
brj-24265	299	9	either	either	CCONJ
brj-24265	299	10	regularly	regularly	ADV
brj-24265	299	11	purchase	purchase	VERB
brj-24265	299	12	the	the	DET
brj-24265	299	13	same	same	ADJ
brj-24265	299	14	brand	brand	NOUN
brj-24265	299	15	and	and	CCONJ
brj-24265	299	16	model	model	NOUN
brj-24265	299	17	of	of	ADP
brj-24265	299	18	forming	form	VERB
brj-24265	299	19	fabric	fabric	NOUN
brj-24265	299	20	or	or	CCONJ
brj-24265	299	21	temporarily	temporarily	ADV
brj-24265	299	22	switch	switch	VERB
brj-24265	299	23	to	to	ADP
brj-24265	299	24	a	a	DET
brj-24265	299	25	different	different	ADJ
brj-24265	299	26	brand	brand	NOUN
brj-24265	299	27	before	before	ADP
brj-24265	299	28	returning	return	VERB
brj-24265	299	29	to	to	ADP
brj-24265	299	30	the	the	DET
brj-24265	299	31	original	original	NOUN
brj-24265	299	32	.	.	PUNCT
brj-24265	300	1	in	in	ADP
brj-24265	300	2	such	such	ADJ
brj-24265	300	3	cases	case	NOUN
brj-24265	300	4	,	,	PUNCT
brj-24265	300	5	periodic	periodic	ADJ
brj-24265	300	6	mark	mark	NOUN
brj-24265	300	7	analysis	analysis	NOUN
brj-24265	300	8	can	can	AUX
brj-24265	300	9	only	only	ADV
brj-24265	300	10	reveal	reveal	VERB
brj-24265	300	11	whether	whether	SCONJ
brj-24265	300	12	the	the	DET
brj-24265	300	13	same	same	ADJ
brj-24265	300	14	forming	form	VERB
brj-24265	300	15	fabric	fabric	NOUN
brj-24265	300	16	was	be	AUX
brj-24265	300	17	used	use	VERB
brj-24265	300	18	,	,	PUNCT
brj-24265	300	19	rather	rather	ADV
brj-24265	300	20	than	than	ADP
brj-24265	300	21	providing	provide	VERB
brj-24265	300	22	a	a	DET
brj-24265	300	23	precise	precise	ADJ
brj-24265	300	24	production	production	NOUN
brj-24265	300	25	date	date	NOUN
brj-24265	300	26	.	.	PUNCT
brj-24265	301	1	on	on	ADP
brj-24265	301	2	the	the	DET
brj-24265	301	3	other	other	ADJ
brj-24265	301	4	hand	hand	NOUN
brj-24265	301	5	,	,	PUNCT
brj-24265	301	6	if	if	SCONJ
brj-24265	301	7	the	the	DET
brj-24265	301	8	repeated	repeat	VERB
brj-24265	301	9	marks	mark	NOUN
brj-24265	301	10	also	also	ADV
brj-24265	301	11	exhibit	exhibit	VERB
brj-24265	301	12	features	feature	NOUN
brj-24265	301	13	characteristic	characteristic	ADJ
brj-24265	301	14	of	of	ADP
brj-24265	301	15	felts	felt	NOUN
brj-24265	301	16	,	,	PUNCT
brj-24265	301	17	suction	suction	NOUN
brj-24265	301	18	rolls	roll	NOUN
brj-24265	301	19	,	,	PUNCT
brj-24265	301	20	or	or	CCONJ
brj-24265	301	21	dryer	dryer	NOUN
brj-24265	301	22	fabrics	fabric	NOUN
brj-24265	301	23	,	,	PUNCT
brj-24265	301	24	the	the	DET
brj-24265	301	25	term	term	NOUN
brj-24265	301	26	“	"	PUNCT
brj-24265	301	27	fingerprint	fingerprint	NOUN
brj-24265	301	28	”	"	PUNCT
brj-24265	301	29	could	could	AUX
brj-24265	301	30	be	be	AUX
brj-24265	301	31	more	more	ADV
brj-24265	301	32	robustly	robustly	ADV
brj-24265	301	33	justified	justify	VERB
brj-24265	301	34	in	in	ADP
brj-24265	301	35	forensic	forensic	ADJ
brj-24265	301	36	assessments	assessment	NOUN
brj-24265	301	37	of	of	ADP
brj-24265	301	38	common	common	ADJ
brj-24265	301	39	origins	origin	NOUN
brj-24265	301	40	of	of	ADP
brj-24265	301	41	paper	paper	NOUN
brj-24265	301	42	sheets	sheet	NOUN
brj-24265	301	43	.	.	PUNCT
brj-24265	302	1	these	these	DET
brj-24265	302	2	limitations	limitation	NOUN
brj-24265	302	3	should	should	AUX
brj-24265	302	4	be	be	AUX
brj-24265	302	5	addressed	address	VERB
brj-24265	302	6	using	use	VERB
brj-24265	302	7	sampling	sample	VERB
brj-24265	302	8	techniques	technique	NOUN
brj-24265	302	9	and	and	CCONJ
brj-24265	302	10	by	by	ADP
brj-24265	302	11	increasing	increase	VERB
brj-24265	302	12	the	the	DET
brj-24265	302	13	data	data	NOUN
brj-24265	302	14	volume	volume	NOUN
brj-24265	302	15	.	.	PUNCT
brj-24265	303	1	when	when	SCONJ
brj-24265	303	2	constructing	construct	VERB
brj-24265	303	3	a	a	DET
brj-24265	303	4	database	database	NOUN
brj-24265	303	5	,	,	PUNCT
brj-24265	303	6	it	it	PRON
brj-24265	303	7	is	be	AUX
brj-24265	303	8	essential	essential	ADJ
brj-24265	303	9	to	to	PART
brj-24265	303	10	determine	determine	VERB
brj-24265	303	11	whether	whether	SCONJ
brj-24265	303	12	the	the	DET
brj-24265	303	13	periodic	periodic	ADJ
brj-24265	303	14	marks	mark	NOUN
brj-24265	303	15	on	on	ADP
brj-24265	303	16	both	both	DET
brj-24265	303	17	sides	side	NOUN
brj-24265	303	18	are	be	AUX
brj-24265	303	19	consistent	consistent	ADJ
brj-24265	303	20	.	.	PUNCT
brj-24265	304	1	if	if	SCONJ
brj-24265	304	2	differences	difference	NOUN
brj-24265	304	3	exist	exist	VERB
brj-24265	304	4	,	,	PUNCT
brj-24265	304	5	the	the	DET
brj-24265	304	6	dataset	dataset	NOUN
brj-24265	304	7	should	should	AUX
brj-24265	304	8	be	be	AUX
brj-24265	304	9	separated	separate	VERB
brj-24265	304	10	into	into	ADP
brj-24265	304	11	top	top	ADJ
brj-24265	304	12	and	and	CCONJ
brj-24265	304	13	bottom	bottom	ADJ
brj-24265	304	14	sides	side	NOUN
brj-24265	304	15	.	.	PUNCT
brj-24265	305	1	future	future	ADJ
brj-24265	305	2	work	work	NOUN
brj-24265	305	3	will	will	AUX
brj-24265	305	4	focus	focus	VERB
brj-24265	305	5	on	on	ADP
brj-24265	305	6	constructing	construct	VERB
brj-24265	305	7	a	a	DET
brj-24265	305	8	separated	separate	VERB
brj-24265	305	9	dataset	dataset	NOUN
brj-24265	305	10	to	to	PART
brj-24265	305	11	reduce	reduce	VERB
brj-24265	305	12	bias	bias	NOUN
brj-24265	305	13	and	and	CCONJ
brj-24265	305	14	ensure	ensure	VERB
brj-24265	305	15	that	that	SCONJ
brj-24265	305	16	the	the	DET
brj-24265	305	17	model	model	NOUN
brj-24265	305	18	does	do	AUX
brj-24265	305	19	not	not	PART
brj-24265	305	20	incorrectly	incorrectly	ADV
brj-24265	305	21	recognize	recognize	VERB
brj-24265	305	22	the	the	DET
brj-24265	305	23	periodic	periodic	ADJ
brj-24265	305	24	marks	mark	NOUN
brj-24265	305	25	on	on	ADP
brj-24265	305	26	the	the	DET
brj-24265	305	27	top	top	ADJ
brj-24265	305	28	and	and	CCONJ
brj-24265	305	29	bottom	bottom	ADJ
brj-24265	305	30	sides	side	NOUN
brj-24265	305	31	as	as	ADP
brj-24265	305	32	the	the	DET
brj-24265	305	33	same	same	ADJ
brj-24265	305	34	class	class	NOUN
brj-24265	305	35	.	.	PUNCT
brj-24265	306	1	conclusions	conclusion	NOUN
brj-24265	306	2	this	this	DET
brj-24265	306	3	study	study	NOUN
brj-24265	306	4	demonstrated	demonstrate	VERB
brj-24265	306	5	that	that	SCONJ
brj-24265	306	6	periodic	periodic	ADJ
brj-24265	306	7	marks	mark	NOUN
brj-24265	306	8	on	on	ADP
brj-24265	306	9	printing	printing	NOUN
brj-24265	306	10	paper	paper	NOUN
brj-24265	306	11	,	,	PUNCT
brj-24265	306	12	particularly	particularly	ADV
brj-24265	306	13	the	the	DET
brj-24265	306	14	step	step	NOUN
brj-24265	306	15	and	and	CCONJ
brj-24265	306	16	angle	angle	NOUN
brj-24265	306	17	data	datum	NOUN
brj-24265	306	18	from	from	ADP
brj-24265	306	19	light	light	ADJ
brj-24265	306	20	-	-	PUNCT
brj-24265	306	21	transmitted	transmit	VERB
brj-24265	306	22	images	image	NOUN
brj-24265	306	23	,	,	PUNCT
brj-24265	306	24	can	can	AUX
brj-24265	306	25	be	be	AUX
brj-24265	306	26	effectively	effectively	ADV
brj-24265	306	27	used	use	VERB
brj-24265	306	28	for	for	ADP
brj-24265	306	29	forensic	forensic	ADJ
brj-24265	306	30	document	document	NOUN
brj-24265	306	31	dating	date	VERB
brj-24265	306	32	.	.	PUNCT
brj-24265	307	1	the	the	DET
brj-24265	307	2	use	use	NOUN
brj-24265	307	3	of	of	ADP
brj-24265	307	4	step	step	NOUN
brj-24265	307	5	-	-	PUNCT
brj-24265	307	6	angle	angle	NOUN
brj-24265	307	7	features	feature	NOUN
brj-24265	307	8	from	from	ADP
brj-24265	307	9	the	the	DET
brj-24265	307	10	top	top	ADJ
brj-24265	307	11	five	five	NUM
brj-24265	307	12	intensity	intensity	NOUN
brj-24265	307	13	levels	level	NOUN
brj-24265	307	14	significantly	significantly	ADV
brj-24265	307	15	improved	improve	VERB
brj-24265	307	16	classification	classification	NOUN
brj-24265	307	17	performance	performance	NOUN
brj-24265	307	18	in	in	ADP
brj-24265	307	19	tree	tree	NOUN
brj-24265	307	20	-	-	PUNCT
brj-24265	307	21	based	base	VERB
brj-24265	307	22	models	model	NOUN
brj-24265	307	23	.	.	PUNCT
brj-24265	308	1	among	among	ADP
brj-24265	308	2	them	they	PRON
brj-24265	308	3	,	,	PUNCT
brj-24265	308	4	the	the	DET
brj-24265	308	5	random	random	ADJ
brj-24265	308	6	forest	forest	NOUN
brj-24265	308	7	model	model	NOUN
brj-24265	308	8	achieved	achieve	VERB
brj-24265	308	9	the	the	DET
brj-24265	308	10	highest	high	ADJ
brj-24265	308	11	f1	f1	ADJ
brj-24265	308	12	score	score	NOUN
brj-24265	308	13	.	.	PUNCT
brj-24265	309	1	feature	feature	NOUN
brj-24265	309	2	importance	importance	NOUN
brj-24265	309	3	analysis	analysis	NOUN
brj-24265	309	4	identified	identify	VERB
brj-24265	309	5	the	the	DET
brj-24265	309	6	third	third	ADJ
brj-24265	309	7	intensity	intensity	NOUN
brj-24265	309	8	level	level	NOUN
brj-24265	309	9	as	as	ADP
brj-24265	309	10	the	the	DET
brj-24265	309	11	most	most	ADV
brj-24265	309	12	critical	critical	ADJ
brj-24265	309	13	for	for	ADP
brj-24265	309	14	distinguishing	distinguish	VERB
brj-24265	309	15	manufacturing	manufacturing	NOUN
brj-24265	309	16	dates	date	NOUN
brj-24265	309	17	,	,	PUNCT
brj-24265	309	18	likely	likely	ADV
brj-24265	309	19	reflecting	reflect	VERB
brj-24265	309	20	forming	form	VERB
brj-24265	309	21	fabric	fabric	NOUN
brj-24265	309	22	differences	difference	NOUN
brj-24265	309	23	or	or	CCONJ
brj-24265	309	24	machine	machine	NOUN
brj-24265	309	25	-	-	PUNCT
brj-24265	309	26	specific	specific	ADJ
brj-24265	309	27	drainage	drainage	NOUN
brj-24265	309	28	marks	mark	NOUN
brj-24265	309	29	.	.	PUNCT
brj-24265	310	1	a	a	DET
brj-24265	310	2	simplified	simplified	ADJ
brj-24265	310	3	univariate	univariate	ADJ
brj-24265	310	4	strategy	strategy	NOUN
brj-24265	310	5	using	use	VERB
brj-24265	310	6	these	these	DET
brj-24265	310	7	features	feature	NOUN
brj-24265	310	8	further	far	ADV
brj-24265	310	9	supported	support	VERB
brj-24265	310	10	their	their	PRON
brj-24265	310	11	forensic	forensic	ADJ
brj-24265	310	12	value	value	NOUN
brj-24265	310	13	.	.	PUNCT
brj-24265	311	1	however	however	ADV
brj-24265	311	2	,	,	PUNCT
brj-24265	311	3	differences	difference	NOUN
brj-24265	311	4	in	in	ADP
brj-24265	311	5	periodic	periodic	ADJ
brj-24265	311	6	marks	mark	NOUN
brj-24265	311	7	between	between	ADP
brj-24265	311	8	the	the	DET
brj-24265	311	9	top	top	ADJ
brj-24265	311	10	and	and	CCONJ
brj-24265	311	11	bottom	bottom	ADJ
brj-24265	311	12	sides	side	NOUN
brj-24265	311	13	of	of	ADP
brj-24265	311	14	paper	paper	NOUN
brj-24265	311	15	—	—	PUNCT
brj-24265	311	16	common	common	ADJ
brj-24265	311	17	in	in	ADP
brj-24265	311	18	twin	twin	ADJ
brj-24265	311	19	-	-	PUNCT
brj-24265	311	20	wire	wire	NOUN
brj-24265	311	21	systems	system	NOUN
brj-24265	311	22	—	—	PUNCT
brj-24265	311	23	may	may	AUX
brj-24265	311	24	reduce	reduce	VERB
brj-24265	311	25	model	model	NOUN
brj-24265	311	26	reliability	reliability	NOUN
brj-24265	311	27	.	.	PUNCT
brj-24265	312	1	therefore	therefore	ADV
brj-24265	312	2	,	,	PUNCT
brj-24265	312	3	future	future	ADJ
brj-24265	312	4	datasets	dataset	NOUN
brj-24265	312	5	should	should	AUX
brj-24265	312	6	distinguish	distinguish	VERB
brj-24265	312	7	between	between	ADP
brj-24265	312	8	paper	paper	NOUN
brj-24265	312	9	surfaces	surface	NOUN
brj-24265	312	10	to	to	PART
brj-24265	312	11	reduce	reduce	VERB
brj-24265	312	12	bias	bias	NOUN
brj-24265	312	13	and	and	CCONJ
brj-24265	312	14	enhance	enhance	VERB
brj-24265	312	15	interpretability	interpretability	NOUN
brj-24265	312	16	.	.	PUNCT
brj-24265	313	1	this	this	DET
brj-24265	313	2	study	study	NOUN
brj-24265	313	3	provides	provide	VERB
brj-24265	313	4	a	a	DET
brj-24265	313	5	foundation	foundation	NOUN
brj-24265	313	6	for	for	ADP
brj-24265	313	7	the	the	DET
brj-24265	313	8	development	development	NOUN
brj-24265	313	9	of	of	ADP
brj-24265	313	10	user	user	NOUN
brj-24265	313	11	-	-	PUNCT
brj-24265	313	12	friendly	friendly	ADJ
brj-24265	313	13	and	and	CCONJ
brj-24265	313	14	non	non	ADJ
brj-24265	313	15	-	-	ADJ
brj-24265	313	16	destructive	destructive	ADJ
brj-24265	313	17	tools	tool	NOUN
brj-24265	313	18	for	for	ADP
brj-24265	313	19	forensic	forensic	ADJ
brj-24265	313	20	document	document	NOUN
brj-24265	313	21	examination	examination	NOUN
brj-24265	313	22	.	.	PUNCT
brj-24265	314	1	acknowledgments	acknowledgment	NOUN
brj-24265	314	2	the	the	DET
brj-24265	314	3	authors	author	NOUN
brj-24265	314	4	would	would	AUX
brj-24265	314	5	like	like	VERB
brj-24265	314	6	to	to	PART
brj-24265	314	7	acknowledge	acknowledge	VERB
brj-24265	314	8	the	the	DET
brj-24265	314	9	financial	financial	ADJ
brj-24265	314	10	support	support	NOUN
brj-24265	314	11	provided	provide	VERB
brj-24265	314	12	by	by	ADP
brj-24265	314	13	the	the	DET
brj-24265	314	14	ministry	ministry	PROPN
brj-24265	314	15	of	of	ADP
brj-24265	314	16	science	science	PROPN
brj-24265	314	17	and	and	CCONJ
brj-24265	314	18	ict	ict	PROPN
brj-24265	314	19	(	(	PUNCT
brj-24265	314	20	information	information	NOUN
brj-24265	314	21	and	and	CCONJ
brj-24265	314	22	communication	communication	NOUN
brj-24265	314	23	technology	technology	NOUN
brj-24265	314	24	)	)	PUNCT
brj-24265	314	25	of	of	ADP
brj-24265	314	26	the	the	DET
brj-24265	314	27	korean	korean	ADJ
brj-24265	314	28	government	government	NOUN
brj-24265	314	29	and	and	CCONJ
brj-24265	314	30	the	the	DET
brj-24265	314	31	national	national	PROPN
brj-24265	314	32	research	research	PROPN
brj-24265	314	33	foundation	foundation	PROPN
brj-24265	314	34	of	of	ADP
brj-24265	314	35	korea	korea	PROPN
brj-24265	314	36	(	(	PUNCT
brj-24265	314	37	grant	grant	VERB
brj-24265	314	38	no	no	INTJ
brj-24265	314	39	.	.	PUNCT
brj-24265	314	40	rs-202300301889	rs-202300301889	NOUN
brj-24265	314	41	)	)	PUNCT
brj-24265	314	42	.	.	PUNCT
brj-24265	315	1	references	reference	NOUN
brj-24265	315	2	cited	cite	VERB
brj-24265	315	3	adanur	adanur	PROPN
brj-24265	315	4	,	,	PUNCT
brj-24265	315	5	s.	s.	PROPN
brj-24265	315	6	(	(	PUNCT
brj-24265	315	7	2017	2017	NUM
brj-24265	315	8	)	)	PUNCT
brj-24265	315	9	.	.	PUNCT
brj-24265	316	1	paper	paper	NOUN
brj-24265	316	2	machine	machine	NOUN
brj-24265	316	3	clothing	clothing	NOUN
brj-24265	316	4	:	:	PUNCT
brj-24265	316	5	key	key	ADJ
brj-24265	316	6	to	to	ADP
brj-24265	316	7	the	the	DET
brj-24265	316	8	paper	paper	NOUN
brj-24265	316	9	making	making	NOUN
brj-24265	316	10	process	process	NOUN
brj-24265	316	11	,	,	PUNCT
brj-24265	316	12	crc	crc	NOUN
brj-24265	316	13	press	press	PROPN
brj-24265	316	14	,	,	PUNCT
brj-24265	317	1	boca	boca	PROPN
brj-24265	317	2	raton	raton	PROPN
brj-24265	317	3	,	,	PUNCT
brj-24265	317	4	fl	fl	PROPN
brj-24265	317	5	,	,	PUNCT
brj-24265	317	6	usa	usa	PROPN
brj-24265	317	7	.	.	PROPN
brj-24265	317	8	doi	doi	PROPN
brj-24265	317	9	:	:	PUNCT
brj-24265	317	10	10.1201/9780203744499	10.1201/9780203744499	NUM
brj-24265	317	11	berger	berger	PROPN
brj-24265	317	12	,	,	PUNCT
brj-24265	317	13	c.	c.	PROPN
brj-24265	317	14	e.	e.	PROPN
brj-24265	317	15	,	,	PUNCT
brj-24265	317	16	and	and	CCONJ
brj-24265	317	17	ramos	ramos	PROPN
brj-24265	317	18	,	,	PUNCT
brj-24265	317	19	d.	d.	PROPN
brj-24265	317	20	(	(	PUNCT
brj-24265	317	21	2012	2012	NUM
brj-24265	317	22	)	)	PUNCT
brj-24265	317	23	.	.	PUNCT
brj-24265	318	1	“	"	PUNCT
brj-24265	318	2	objective	objective	ADJ
brj-24265	318	3	paper	paper	NOUN
brj-24265	318	4	structure	structure	NOUN
brj-24265	318	5	comparison	comparison	NOUN
brj-24265	318	6	:	:	PUNCT
brj-24265	318	7	assessing	assess	VERB
brj-24265	318	8	peer	peer	NOUN
brj-24265	318	9	-	-	PUNCT
brj-24265	318	10	reviewed	review	VERB
brj-24265	318	11	article	article	NOUN
brj-24265	318	12	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24265	318	13	lee	lee	PROPN
brj-24265	318	14	et	et	PROPN
brj-24265	318	15	al	al	PROPN
brj-24265	318	16	.	.	PROPN
brj-24265	318	17	(	(	PUNCT
brj-24265	318	18	2025	2025	NUM
brj-24265	318	19	)	)	PUNCT
brj-24265	318	20	.	.	PUNCT
brj-24265	319	1	“	"	PUNCT
brj-24265	319	2	wire	wire	NOUN
brj-24265	319	3	-	-	PUNCT
brj-24265	319	4	mark	mark	NOUN
brj-24265	319	5	analysis	analysis	NOUN
brj-24265	319	6	of	of	ADP
brj-24265	319	7	paper	paper	NOUN
brj-24265	319	8	,	,	PUNCT
brj-24265	319	9	”	"	PUNCT
brj-24265	319	10	bioresources	bioresource	VERB
brj-24265	319	11	20(4	20(4	NOUN
brj-24265	319	12	)	)	PUNCT
brj-24265	319	13	,	,	PUNCT
brj-24265	319	14	9208	9208	NUM
brj-24265	319	15	-	-	SYM
brj-24265	319	16	9225	9225	NUM
brj-24265	319	17	.	.	PUNCT
brj-24265	320	1	9224	9224	NUM
brj-24265	320	2	comparison	comparison	NOUN
brj-24265	320	3	algorithms	algorithm	NOUN
brj-24265	320	4	,	,	PUNCT
brj-24265	320	5	”	"	PUNCT
brj-24265	320	6	forensic	forensic	ADJ
brj-24265	320	7	science	science	NOUN
brj-24265	320	8	international	international	ADJ
brj-24265	320	9	222(1	222(1	NUM
brj-24265	320	10	-	-	SYM
brj-24265	320	11	3	3	NUM
brj-24265	320	12	)	)	PUNCT
brj-24265	320	13	,	,	PUNCT
brj-24265	320	14	360	360	NUM
brj-24265	320	15	-	-	SYM
brj-24265	320	16	367	367	NUM
brj-24265	320	17	.	.	PUNCT
brj-24265	321	1	doi	doi	NOUN
brj-24265	321	2	:	:	PUNCT
brj-24265	321	3	10.1016	10.1016	NUM
brj-24265	321	4	/	/	SYM
brj-24265	321	5	j.forsciint.2012.07.018	j.forsciint.2012.07.018	PROPN
brj-24265	321	6	berger	berger	PROPN
brj-24265	321	7	,	,	PUNCT
brj-24265	321	8	c.	c.	PROPN
brj-24265	321	9	e.	e.	PROPN
brj-24265	321	10	j.	j.	PROPN
brj-24265	321	11	(	(	PUNCT
brj-24265	321	12	2009	2009	NUM
brj-24265	321	13	)	)	PUNCT
brj-24265	321	14	.	.	PUNCT
brj-24265	322	1	“	"	PUNCT
brj-24265	322	2	objective	objective	ADJ
brj-24265	322	3	paper	paper	NOUN
brj-24265	322	4	structure	structure	NOUN
brj-24265	322	5	comparison	comparison	NOUN
brj-24265	322	6	through	through	ADP
brj-24265	322	7	processing	processing	NOUN
brj-24265	322	8	of	of	ADP
brj-24265	322	9	transmitted	transmit	VERB
brj-24265	322	10	light	light	ADJ
brj-24265	322	11	images	image	NOUN
brj-24265	322	12	,	,	PUNCT
brj-24265	322	13	”	"	PUNCT
brj-24265	322	14	forensic	forensic	ADJ
brj-24265	322	15	science	science	NOUN
brj-24265	322	16	international	international	ADJ
brj-24265	322	17	192(1	192(1	NUM
brj-24265	322	18	-	-	SYM
brj-24265	322	19	3	3	NUM
brj-24265	322	20	)	)	PUNCT
brj-24265	322	21	,	,	PUNCT
brj-24265	322	22	1	1	NUM
brj-24265	322	23	-	-	SYM
brj-24265	322	24	6	6	NUM
brj-24265	322	25	.	.	PUNCT
brj-24265	323	1	doi	doi	NOUN
brj-24265	323	2	:	:	PUNCT
brj-24265	323	3	10.1016	10.1016	NUM
brj-24265	323	4	/	/	SYM
brj-24265	323	5	j.forsciint.2009.07.004	j.forsciint.2009.07.004	PROPN
brj-24265	323	6	breiman	breiman	PROPN
brj-24265	323	7	,	,	PUNCT
brj-24265	323	8	l.	l.	PROPN
brj-24265	323	9	(	(	PUNCT
brj-24265	323	10	2001	2001	NUM
brj-24265	323	11	)	)	PUNCT
brj-24265	323	12	.	.	PUNCT
brj-24265	324	1	“	"	PUNCT
brj-24265	324	2	random	random	ADJ
brj-24265	324	3	forests	forest	NOUN
brj-24265	324	4	,	,	PUNCT
brj-24265	324	5	”	"	PUNCT
brj-24265	324	6	machine	machine	NOUN
brj-24265	324	7	learning	learning	PROPN
brj-24265	324	8	45(1	45(1	NOUN
brj-24265	324	9	)	)	PUNCT
brj-24265	324	10	,	,	PUNCT
brj-24265	324	11	5	5	NUM
brj-24265	324	12	-	-	SYM
brj-24265	324	13	32	32	NUM
brj-24265	324	14	.	.	PUNCT
brj-24265	325	1	breiman	breiman	NOUN
brj-24265	325	2	,	,	PUNCT
brj-24265	325	3	l.	l.	PROPN
brj-24265	325	4	(	(	PUNCT
brj-24265	325	5	2017	2017	NUM
brj-24265	325	6	)	)	PUNCT
brj-24265	325	7	.	.	PUNCT
brj-24265	326	1	classification	classification	NOUN
brj-24265	326	2	and	and	CCONJ
brj-24265	326	3	regression	regression	NOUN
brj-24265	326	4	trees	tree	NOUN
brj-24265	326	5	,	,	PUNCT
brj-24265	326	6	routledge	routledge	PROPN
brj-24265	326	7	,	,	PUNCT
brj-24265	326	8	abingdon	abingdon	PROPN
brj-24265	326	9	-	-	PUNCT
brj-24265	326	10	onthames	onthames	PROPN
brj-24265	326	11	,	,	PUNCT
brj-24265	326	12	uk	uk	PROPN
brj-24265	326	13	.	.	PROPN
brj-24265	326	14	campello	campello	PROPN
brj-24265	326	15	,	,	PUNCT
brj-24265	326	16	r.	r.	PROPN
brj-24265	326	17	j.	j.	PROPN
brj-24265	326	18	,	,	PUNCT
brj-24265	326	19	moulavi	moulavi	PROPN
brj-24265	326	20	,	,	PUNCT
brj-24265	326	21	d.	d.	NOUN
brj-24265	326	22	,	,	PUNCT
brj-24265	326	23	and	and	CCONJ
brj-24265	326	24	sander	sander	NOUN
brj-24265	326	25	,	,	PUNCT
brj-24265	326	26	j.	j.	PROPN
brj-24265	326	27	(	(	PUNCT
brj-24265	326	28	2013	2013	NUM
brj-24265	326	29	)	)	PUNCT
brj-24265	326	30	.	.	PUNCT
brj-24265	327	1	“	"	PUNCT
brj-24265	327	2	density	density	NOUN
brj-24265	327	3	-	-	PUNCT
brj-24265	327	4	based	base	VERB
brj-24265	327	5	clustering	clustering	NOUN
brj-24265	327	6	based	base	VERB
brj-24265	327	7	on	on	ADP
brj-24265	327	8	hierarchical	hierarchical	ADJ
brj-24265	327	9	density	density	NOUN
brj-24265	327	10	estimates	estimate	NOUN
brj-24265	327	11	,	,	PUNCT
brj-24265	327	12	”	"	PUNCT
brj-24265	327	13	in	in	ADP
brj-24265	327	14	:	:	PUNCT
brj-24265	327	15	pacific	pacific	ADJ
brj-24265	327	16	-	-	PUNCT
brj-24265	327	17	asia	asia	PROPN
brj-24265	327	18	conference	conference	NOUN
brj-24265	327	19	on	on	ADP
brj-24265	327	20	knowledge	knowledge	NOUN
brj-24265	327	21	discovery	discovery	PROPN
brj-24265	327	22	and	and	CCONJ
brj-24265	327	23	data	datum	NOUN
brj-24265	327	24	mining	mining	NOUN
brj-24265	327	25	,	,	PUNCT
brj-24265	327	26	springer	springer	NOUN
brj-24265	327	27	,	,	PUNCT
brj-24265	327	28	berlin	berlin	PROPN
brj-24265	327	29	,	,	PUNCT
brj-24265	327	30	heidelberg	heidelberg	PROPN
brj-24265	327	31	.	.	PUNCT
brj-24265	328	1	doi	doi	NOUN
brj-24265	328	2	:	:	PUNCT
brj-24265	328	3	10.1007/978	10.1007/978	NUM
brj-24265	328	4	-	-	SYM
brj-24265	328	5	3	3	NUM
brj-24265	328	6	-	-	PUNCT
brj-24265	328	7	642	642	NUM
brj-24265	328	8	-	-	PUNCT
brj-24265	328	9	37456	37456	NUM
brj-24265	328	10	-	-	PUNCT
brj-24265	328	11	2_14	2_14	NUM
brj-24265	328	12	chen	chen	PROPN
brj-24265	328	13	,	,	PUNCT
brj-24265	328	14	t.	t.	PROPN
brj-24265	328	15	,	,	PUNCT
brj-24265	328	16	and	and	CCONJ
brj-24265	328	17	guestrin	guestrin	NOUN
brj-24265	328	18	,	,	PUNCT
brj-24265	328	19	c.	c.	PROPN
brj-24265	328	20	(	(	PUNCT
brj-24265	328	21	2016	2016	NUM
brj-24265	328	22	)	)	PUNCT
brj-24265	328	23	.	.	PUNCT
brj-24265	329	1	“	"	PUNCT
brj-24265	329	2	xgboost	xgboost	ADV
brj-24265	329	3	:	:	PUNCT
brj-24265	329	4	a	a	DET
brj-24265	329	5	scalable	scalable	ADJ
brj-24265	329	6	tree	tree	NOUN
brj-24265	329	7	boosting	boost	VERB
brj-24265	329	8	system	system	NOUN
brj-24265	329	9	,	,	PUNCT
brj-24265	329	10	”	"	PUNCT
brj-24265	329	11	in	in	ADP
brj-24265	329	12	:	:	PUNCT
brj-24265	329	13	proceedings	proceeding	NOUN
brj-24265	329	14	of	of	ADP
brj-24265	329	15	the	the	DET
brj-24265	329	16	22nd	22nd	PROPN
brj-24265	329	17	acm	acm	PROPN
brj-24265	329	18	sigkdd	sigkdd	PROPN
brj-24265	329	19	international	international	ADJ
brj-24265	329	20	conference	conference	NOUN
brj-24265	329	21	on	on	ADP
brj-24265	329	22	knowledge	knowledge	NOUN
brj-24265	329	23	discovery	discovery	PROPN
brj-24265	329	24	and	and	CCONJ
brj-24265	329	25	data	datum	NOUN
brj-24265	329	26	mining	mining	NOUN
brj-24265	329	27	,	,	PUNCT
brj-24265	329	28	san	san	PROPN
brj-24265	329	29	francisco	francisco	PROPN
brj-24265	329	30	,	,	PUNCT
brj-24265	329	31	ca	ca	PROPN
brj-24265	329	32	,	,	PUNCT
brj-24265	329	33	usa	usa	PROPN
brj-24265	329	34	.	.	PROPN
brj-24265	329	35	doi	doi	PROPN
brj-24265	329	36	:	:	PUNCT
brj-24265	329	37	10.1145/2939672.2939785	10.1145/2939672.2939785	NUM
brj-24265	329	38	choi	choi	NOUN
brj-24265	329	39	,	,	PUNCT
brj-24265	329	40	k.	k.	PROPN
brj-24265	329	41	h.	h.	PROPN
brj-24265	329	42	,	,	PUNCT
brj-24265	329	43	lee	lee	PROPN
brj-24265	329	44	,	,	PUNCT
brj-24265	329	45	j.	j.	PROPN
brj-24265	329	46	h.	h.	PROPN
brj-24265	329	47	,	,	PUNCT
brj-24265	329	48	and	and	CCONJ
brj-24265	329	49	ryu	ryu	ADJ
brj-24265	329	50	,	,	PUNCT
brj-24265	329	51	j.	j.	PROPN
brj-24265	329	52	y.	y.	PROPN
brj-24265	329	53	(	(	PUNCT
brj-24265	329	54	2018	2018	NUM
brj-24265	329	55	)	)	PUNCT
brj-24265	329	56	.	.	PUNCT
brj-24265	330	1	“	"	PUNCT
brj-24265	330	2	analysis	analysis	NOUN
brj-24265	330	3	of	of	ADP
brj-24265	330	4	modern	modern	ADJ
brj-24265	330	5	document	document	NOUN
brj-24265	330	6	paper	paper	NOUN
brj-24265	330	7	for	for	ADP
brj-24265	330	8	identification	identification	NOUN
brj-24265	330	9	of	of	ADP
brj-24265	330	10	counterfeit	counterfeit	ADJ
brj-24265	330	11	document	document	NOUN
brj-24265	330	12	(	(	PUNCT
brj-24265	330	13	i	i	NOUN
brj-24265	330	14	):	):	PUNCT
brj-24265	330	15	filler	filler	NOUN
brj-24265	330	16	composition	composition	NOUN
brj-24265	330	17	,	,	PUNCT
brj-24265	330	18	”	"	PUNCT
brj-24265	330	19	journal	journal	NOUN
brj-24265	330	20	of	of	ADP
brj-24265	330	21	korea	korea	PROPN
brj-24265	330	22	tappi	tappi	PROPN
brj-24265	330	23	50(3	50(3	PROPN
brj-24265	330	24	)	)	PUNCT
brj-24265	330	25	,	,	PUNCT
brj-24265	330	26	28	28	NUM
brj-24265	330	27	-	-	SYM
brj-24265	330	28	35	35	NUM
brj-24265	330	29	.	.	PUNCT
brj-24265	331	1	doi	doi	NOUN
brj-24265	331	2	:	:	PUNCT
brj-24265	331	3	10.7584	10.7584	NUM
brj-24265	331	4	/	/	SYM
brj-24265	331	5	jktappi.2018.06.50.3.28	jktappi.2018.06.50.3.28	PROPN
brj-24265	331	6	comte	comte	NOUN
brj-24265	331	7	,	,	PUNCT
brj-24265	331	8	o.	o.	NOUN
brj-24265	331	9	,	,	PUNCT
brj-24265	331	10	dessimoz	dessimoz	PROPN
brj-24265	331	11	,	,	PUNCT
brj-24265	331	12	d.	d.	PROPN
brj-24265	331	13	,	,	PUNCT
brj-24265	331	14	lanzi	lanzi	PROPN
brj-24265	331	15	,	,	PUNCT
brj-24265	331	16	l.	l.	PROPN
brj-24265	331	17	,	,	PUNCT
brj-24265	331	18	marquet	marquet	NOUN
brj-24265	331	19	,	,	PUNCT
brj-24265	331	20	s.	s.	PROPN
brj-24265	331	21	,	,	PUNCT
brj-24265	331	22	and	and	CCONJ
brj-24265	331	23	mazzella	mazzella	ADV
brj-24265	331	24	,	,	PUNCT
brj-24265	331	25	w.	w.	PROPN
brj-24265	331	26	j.	j.	PROPN
brj-24265	331	27	p.	p.	PROPN
brj-24265	331	28	(	(	PUNCT
brj-24265	331	29	2006	2006	NUM
brj-24265	331	30	)	)	PUNCT
brj-24265	331	31	.	.	PUNCT
brj-24265	332	1	“	"	PUNCT
brj-24265	332	2	paper	paper	NOUN
brj-24265	332	3	discrimination	discrimination	NOUN
brj-24265	332	4	by	by	ADP
brj-24265	332	5	fast	fast	ADJ
brj-24265	332	6	fourier	fourier	NOUN
brj-24265	332	7	transform	transform	NOUN
brj-24265	332	8	,	,	PUNCT
brj-24265	332	9	”	"	PUNCT
brj-24265	332	10	in	in	ADP
brj-24265	332	11	:	:	PUNCT
brj-24265	332	12	4th	4th	ADJ
brj-24265	332	13	european	european	PROPN
brj-24265	332	14	academy	academy	PROPN
brj-24265	332	15	of	of	ADP
brj-24265	332	16	forensic	forensic	ADJ
brj-24265	332	17	science	science	NOUN
brj-24265	332	18	,	,	PUNCT
brj-24265	332	19	helsinki	helsinki	PROPN
brj-24265	332	20	,	,	PUNCT
brj-24265	332	21	finland	finland	PROPN
brj-24265	332	22	.	.	PUNCT
brj-24265	333	1	ebara	ebara	PROPN
brj-24265	333	2	,	,	PUNCT
brj-24265	333	3	h.	h.	PROPN
brj-24265	333	4	,	,	PUNCT
brj-24265	333	5	kondo	kondo	PROPN
brj-24265	333	6	,	,	PUNCT
brj-24265	333	7	a.	a.	PROPN
brj-24265	333	8	,	,	PUNCT
brj-24265	333	9	and	and	CCONJ
brj-24265	333	10	nishida	nishida	PROPN
brj-24265	333	11	,	,	PUNCT
brj-24265	333	12	s.	s.	PROPN
brj-24265	333	13	j.	j.	PROPN
brj-24265	333	14	(	(	PUNCT
brj-24265	333	15	1982	1982	NUM
brj-24265	333	16	)	)	PUNCT
brj-24265	333	17	.	.	PUNCT
brj-24265	334	1	“	"	PUNCT
brj-24265	334	2	analysis	analysis	NOUN
brj-24265	334	3	of	of	ADP
brj-24265	334	4	coated	coated	ADJ
brj-24265	334	5	and	and	CCONJ
brj-24265	334	6	non	non	ADJ
brj-24265	334	7	-	-	ADJ
brj-24265	334	8	coated	coated	ADJ
brj-24265	334	9	papers	paper	NOUN
brj-24265	334	10	by	by	ADP
brj-24265	334	11	pyrolysis	pyrolysis	NOUN
brj-24265	334	12	gas	gas	NOUN
brj-24265	334	13	-	-	PUNCT
brj-24265	334	14	chromatography	chromatography	NOUN
brj-24265	334	15	,	,	PUNCT
brj-24265	334	16	”	"	PUNCT
brj-24265	334	17	rep	rep	PROPN
brj-24265	334	18	.	.	PROPN
brj-24265	334	19	natl	natl	PROPN
brj-24265	334	20	.	.	PUNCT
brj-24265	335	1	res	res	PROPN
brj-24265	335	2	.	.	PROPN
brj-24265	335	3	inst	inst	PROPN
brj-24265	335	4	.	.	PUNCT
brj-24265	336	1	police	police	PROPN
brj-24265	336	2	sci	sci	PROPN
brj-24265	336	3	.	.	PUNCT
brj-24265	336	4	2(35	2(35	NUM
brj-24265	336	5	)	)	PUNCT
brj-24265	336	6	,	,	PUNCT
brj-24265	336	7	88	88	NUM
brj-24265	336	8	-	-	SYM
brj-24265	336	9	98	98	NUM
brj-24265	336	10	.	.	PUNCT
brj-24265	337	1	ellen	ellen	PROPN
brj-24265	337	2	,	,	PUNCT
brj-24265	337	3	d.	d.	PROPN
brj-24265	337	4	,	,	PUNCT
brj-24265	337	5	day	day	PROPN
brj-24265	337	6	,	,	PUNCT
brj-24265	337	7	s.	s.	PROPN
brj-24265	337	8	,	,	PUNCT
brj-24265	337	9	and	and	CCONJ
brj-24265	337	10	davies	davy	NOUN
brj-24265	337	11	,	,	PUNCT
brj-24265	337	12	c.	c.	NOUN
brj-24265	337	13	(	(	PUNCT
brj-24265	337	14	2018	2018	NUM
brj-24265	337	15	)	)	PUNCT
brj-24265	337	16	.	.	PUNCT
brj-24265	338	1	scientific	scientific	ADJ
brj-24265	338	2	examination	examination	NOUN
brj-24265	338	3	of	of	ADP
brj-24265	338	4	documents	document	NOUN
brj-24265	338	5	:	:	PUNCT
brj-24265	338	6	methods	method	NOUN
brj-24265	338	7	and	and	CCONJ
brj-24265	338	8	techniques	technique	NOUN
brj-24265	338	9	,	,	PUNCT
brj-24265	338	10	crc	crc	NOUN
brj-24265	338	11	press	press	PROPN
brj-24265	338	12	,	,	PUNCT
brj-24265	338	13	boca	boca	PROPN
brj-24265	338	14	raton	raton	PROPN
brj-24265	338	15	,	,	PUNCT
brj-24265	338	16	fl	fl	PROPN
brj-24265	338	17	,	,	PUNCT
brj-24265	338	18	usa	usa	PROPN
brj-24265	338	19	.	.	PROPN
brj-24265	338	20	doi	doi	PROPN
brj-24265	338	21	:	:	PUNCT
brj-24265	338	22	10.4324/9780429491917	10.4324/9780429491917	NUM
brj-24265	338	23	ester	ester	NOUN
brj-24265	338	24	,	,	PUNCT
brj-24265	338	25	m.	m.	NOUN
brj-24265	338	26	,	,	PUNCT
brj-24265	338	27	kriegel	kriegel	NOUN
brj-24265	338	28	,	,	PUNCT
brj-24265	338	29	h.-p	h.-p	PROPN
brj-24265	338	30	.	.	PROPN
brj-24265	338	31	,	,	PUNCT
brj-24265	338	32	sander	sander	PROPN
brj-24265	338	33	,	,	PUNCT
brj-24265	338	34	j.	j.	PROPN
brj-24265	338	35	,	,	PUNCT
brj-24265	338	36	and	and	CCONJ
brj-24265	338	37	xu	xu	PROPN
brj-24265	338	38	,	,	PUNCT
brj-24265	338	39	x.	x.	NOUN
brj-24265	338	40	(	(	PUNCT
brj-24265	338	41	1996	1996	NUM
brj-24265	338	42	)	)	PUNCT
brj-24265	338	43	.	.	PUNCT
brj-24265	339	1	“	"	PUNCT
brj-24265	339	2	a	a	DET
brj-24265	339	3	density	density	NOUN
brj-24265	339	4	-	-	PUNCT
brj-24265	339	5	based	base	VERB
brj-24265	339	6	algorithm	algorithm	NOUN
brj-24265	339	7	for	for	ADP
brj-24265	339	8	discovering	discover	VERB
brj-24265	339	9	clusters	cluster	NOUN
brj-24265	339	10	in	in	ADP
brj-24265	339	11	large	large	ADJ
brj-24265	339	12	spatial	spatial	ADJ
brj-24265	339	13	databases	database	NOUN
brj-24265	339	14	with	with	ADP
brj-24265	339	15	noise	noise	NOUN
brj-24265	339	16	,	,	PUNCT
brj-24265	339	17	”	"	PUNCT
brj-24265	339	18	in	in	ADP
brj-24265	339	19	:	:	PUNCT
brj-24265	339	20	kdd	kdd	PROPN
brj-24265	339	21	,	,	PUNCT
brj-24265	339	22	münchen	münchen	NOUN
brj-24265	339	23	,	,	PUNCT
brj-24265	339	24	germany	germany	PROPN
brj-24265	339	25	.	.	PUNCT
brj-24265	340	1	doi	doi	PROPN
brj-24265	340	2	:	:	PUNCT
brj-24265	340	3	10.5555/3001460.3001507	10.5555/3001460.3001507	NUM
brj-24265	340	4	foner	foner	NOUN
brj-24265	340	5	,	,	PUNCT
brj-24265	340	6	h.	h.	PROPN
brj-24265	340	7	a.	a.	PROPN
brj-24265	340	8	,	,	PUNCT
brj-24265	340	9	and	and	CCONJ
brj-24265	340	10	adan	adan	PROPN
brj-24265	340	11	,	,	PUNCT
brj-24265	340	12	n.	n.	PROPN
brj-24265	340	13	(	(	PUNCT
brj-24265	340	14	1983	1983	NUM
brj-24265	340	15	)	)	PUNCT
brj-24265	340	16	.	.	PUNCT
brj-24265	341	1	“	"	PUNCT
brj-24265	341	2	the	the	DET
brj-24265	341	3	characterization	characterization	NOUN
brj-24265	341	4	of	of	ADP
brj-24265	341	5	papers	paper	NOUN
brj-24265	341	6	by	by	ADP
brj-24265	341	7	x	x	ADJ
brj-24265	341	8	-	-	NOUN
brj-24265	341	9	ray	ray	NOUN
brj-24265	341	10	diffraction	diffraction	NOUN
brj-24265	341	11	(	(	PUNCT
brj-24265	341	12	xrd	xrd	PROPN
brj-24265	341	13	):	):	PUNCT
brj-24265	341	14	measurement	measurement	NOUN
brj-24265	341	15	of	of	ADP
brj-24265	341	16	cellulose	cellulose	NOUN
brj-24265	341	17	crystallinity	crystallinity	NOUN
brj-24265	341	18	and	and	CCONJ
brj-24265	341	19	determination	determination	NOUN
brj-24265	341	20	of	of	ADP
brj-24265	341	21	mineral	mineral	NOUN
brj-24265	341	22	composition	composition	NOUN
brj-24265	341	23	,	,	PUNCT
brj-24265	341	24	”	"	PUNCT
brj-24265	341	25	j.	j.	PROPN
brj-24265	341	26	forensic	forensic	PROPN
brj-24265	341	27	sci	sci	PROPN
brj-24265	341	28	.	.	PUNCT
brj-24265	341	29	soc	soc	PROPN
brj-24265	341	30	.	.	PUNCT
brj-24265	342	1	23(4	23(4	VERB
brj-24265	342	2	)	)	PUNCT
brj-24265	342	3	,	,	PUNCT
brj-24265	342	4	313	313	NUM
brj-24265	342	5	-	-	SYM
brj-24265	342	6	321	321	NUM
brj-24265	342	7	.	.	PUNCT
brj-24265	343	1	doi	doi	NOUN
brj-24265	343	2	:	:	PUNCT
brj-24265	343	3	10.1016	10.1016	NUM
brj-24265	343	4	/	/	SYM
brj-24265	343	5	s0015	s0015	PROPN
brj-24265	343	6	-	-	PUNCT
brj-24265	343	7	7368(83)72269	7368(83)72269	NUM
brj-24265	343	8	-	-	PUNCT
brj-24265	343	9	3	3	NUM
brj-24265	343	10	grant	grant	NOUN
brj-24265	343	11	,	,	PUNCT
brj-24265	343	12	j.	j.	PROPN
brj-24265	343	13	j.	j.	PROPN
brj-24265	343	14	(	(	PUNCT
brj-24265	343	15	1973	1973	NUM
brj-24265	343	16	)	)	PUNCT
brj-24265	343	17	.	.	PUNCT
brj-24265	344	1	“	"	PUNCT
brj-24265	344	2	the	the	DET
brj-24265	344	3	role	role	NOUN
brj-24265	344	4	of	of	ADP
brj-24265	344	5	paper	paper	NOUN
brj-24265	344	6	in	in	ADP
brj-24265	344	7	questioned	question	VERB
brj-24265	344	8	document	document	NOUN
brj-24265	344	9	work	work	NOUN
brj-24265	344	10	,	,	PUNCT
brj-24265	344	11	”	"	PUNCT
brj-24265	344	12	j.	j.	PROPN
brj-24265	344	13	forensic	forensic	PROPN
brj-24265	344	14	sci	sci	PROPN
brj-24265	344	15	.	.	PUNCT
brj-24265	344	16	soc	soc	PROPN
brj-24265	344	17	.	.	PUNCT
brj-24265	345	1	13(2	13(2	NOUN
brj-24265	345	2	)	)	PUNCT
brj-24265	345	3	,	,	PUNCT
brj-24265	345	4	91	91	NUM
brj-24265	345	5	-	-	SYM
brj-24265	345	6	95	95	NUM
brj-24265	345	7	.	.	PUNCT
brj-24265	346	1	havlínová	havlínová	PROPN
brj-24265	346	2	,	,	PUNCT
brj-24265	346	3	b.	b.	PROPN
brj-24265	346	4	,	,	PUNCT
brj-24265	346	5	katuščák	katuščák	PROPN
brj-24265	346	6	,	,	PUNCT
brj-24265	346	7	s.	s.	PROPN
brj-24265	346	8	,	,	PUNCT
brj-24265	346	9	petrovičová	petrovičová	PROPN
brj-24265	346	10	,	,	PUNCT
brj-24265	346	11	m.	m.	NOUN
brj-24265	346	12	,	,	PUNCT
brj-24265	346	13	maková	maková	PROPN
brj-24265	346	14	,	,	PUNCT
brj-24265	346	15	a.	a.	NOUN
brj-24265	346	16	,	,	PUNCT
brj-24265	346	17	and	and	CCONJ
brj-24265	346	18	brezová	brezová	NOUN
brj-24265	346	19	,	,	PUNCT
brj-24265	346	20	v.	v.	PROPN
brj-24265	346	21	(	(	PUNCT
brj-24265	346	22	2009	2009	NUM
brj-24265	346	23	)	)	PUNCT
brj-24265	346	24	.	.	PUNCT
brj-24265	347	1	“	"	PUNCT
brj-24265	347	2	a	a	DET
brj-24265	347	3	study	study	NOUN
brj-24265	347	4	of	of	ADP
brj-24265	347	5	mechanical	mechanical	ADJ
brj-24265	347	6	properties	property	NOUN
brj-24265	347	7	of	of	ADP
brj-24265	347	8	papers	paper	NOUN
brj-24265	347	9	exposed	expose	VERB
brj-24265	347	10	to	to	ADP
brj-24265	347	11	various	various	ADJ
brj-24265	347	12	methods	method	NOUN
brj-24265	347	13	of	of	ADP
brj-24265	347	14	accelerated	accelerated	ADJ
brj-24265	347	15	ageing	ageing	NOUN
brj-24265	347	16	.	.	PUNCT
brj-24265	348	1	part	part	NOUN
brj-24265	348	2	i.	i.	PROPN
brj-24265	348	3	the	the	DET
brj-24265	348	4	effect	effect	NOUN
brj-24265	348	5	of	of	ADP
brj-24265	348	6	heat	heat	NOUN
brj-24265	348	7	and	and	CCONJ
brj-24265	348	8	humidity	humidity	NOUN
brj-24265	348	9	on	on	ADP
brj-24265	348	10	original	original	ADJ
brj-24265	348	11	wood	wood	NOUN
brj-24265	348	12	-	-	PUNCT
brj-24265	348	13	pulp	pulp	NOUN
brj-24265	348	14	papers	paper	NOUN
brj-24265	348	15	,	,	PUNCT
brj-24265	348	16	”	"	PUNCT
brj-24265	348	17	journal	journal	NOUN
brj-24265	348	18	of	of	ADP
brj-24265	348	19	cultural	cultural	ADJ
brj-24265	348	20	heritage	heritage	NOUN
brj-24265	348	21	10(2	10(2	NUM
brj-24265	348	22	)	)	PUNCT
brj-24265	348	23	,	,	PUNCT
brj-24265	348	24	222	222	NUM
brj-24265	348	25	-	-	SYM
brj-24265	348	26	231	231	NUM
brj-24265	348	27	.	.	PUNCT
brj-24265	349	1	doi	doi	NOUN
brj-24265	349	2	:	:	PUNCT
brj-24265	349	3	10.1016	10.1016	NUM
brj-24265	349	4	/	/	SYM
brj-24265	349	5	j.culher.2008.07.009	j.culher.2008.07.009	PROPN
brj-24265	349	6	hwang	hwang	PROPN
brj-24265	349	7	,	,	PUNCT
brj-24265	349	8	s.-w	s.-w	PROPN
brj-24265	349	9	.	.	PROPN
brj-24265	349	10	,	,	PUNCT
brj-24265	349	11	chung	chung	PROPN
brj-24265	349	12	,	,	PUNCT
brj-24265	349	13	h.	h.	PROPN
brj-24265	349	14	,	,	PUNCT
brj-24265	349	15	lee	lee	PROPN
brj-24265	349	16	,	,	PUNCT
brj-24265	349	17	t.	t.	PROPN
brj-24265	349	18	,	,	PUNCT
brj-24265	349	19	kwak	kwak	PROPN
brj-24265	349	20	,	,	PUNCT
brj-24265	349	21	h.	h.	PROPN
brj-24265	349	22	w.	w.	PROPN
brj-24265	349	23	,	,	PUNCT
brj-24265	349	24	choi	choi	NOUN
brj-24265	349	25	,	,	PUNCT
brj-24265	349	26	i.-g	i.-g	PROPN
brj-24265	349	27	.	.	PROPN
brj-24265	349	28	,	,	PUNCT
brj-24265	349	29	and	and	CCONJ
brj-24265	349	30	yeo	yeo	PROPN
brj-24265	349	31	,	,	PUNCT
brj-24265	349	32	h.	h.	PROPN
brj-24265	349	33	(	(	PUNCT
brj-24265	349	34	2023	2023	NUM
brj-24265	349	35	)	)	PUNCT
brj-24265	349	36	.	.	PUNCT
brj-24265	350	1	“	"	PUNCT
brj-24265	350	2	investigation	investigation	NOUN
brj-24265	350	3	of	of	ADP
brj-24265	350	4	nir	nir	ADJ
brj-24265	350	5	spectroscopy	spectroscopy	NOUN
brj-24265	350	6	and	and	CCONJ
brj-24265	350	7	electrical	electrical	ADJ
brj-24265	350	8	resistance	resistance	NOUN
brj-24265	350	9	-	-	PUNCT
brj-24265	350	10	based	base	VERB
brj-24265	350	11	approaches	approach	NOUN
brj-24265	350	12	for	for	ADP
brj-24265	350	13	moisture	moisture	NOUN
brj-24265	350	14	determination	determination	NOUN
brj-24265	350	15	of	of	ADP
brj-24265	350	16	logging	log	VERB
brj-24265	350	17	residues	residue	NOUN
brj-24265	350	18	and	and	CCONJ
brj-24265	350	19	sweet	sweet	ADJ
brj-24265	350	20	sorghum	sorghum	NOUN
brj-24265	350	21	,	,	PUNCT
brj-24265	350	22	”	"	PUNCT
brj-24265	350	23	bioresources	bioresource	NOUN
brj-24265	350	24	18(1	18(1	NOUN
brj-24265	350	25	)	)	PUNCT
brj-24265	350	26	,	,	PUNCT
brj-24265	350	27	2064	2064	NUM
brj-24265	350	28	-	-	SYM
brj-24265	350	29	2082	2082	NUM
brj-24265	350	30	.	.	PUNCT
brj-24265	351	1	doi	doi	NOUN
brj-24265	351	2	:	:	PUNCT
brj-24265	351	3	10.15376	10.15376	NUM
brj-24265	351	4	/	/	SYM
brj-24265	351	5	biores.18.1.2064	biores.18.1.2064	NUM
brj-24265	351	6	-	-	PUNCT
brj-24265	351	7	2082	2082	NUM
brj-24265	351	8	hwang	hwang	PROPN
brj-24265	351	9	,	,	PUNCT
brj-24265	351	10	s.-w	s.-w	PROPN
brj-24265	351	11	.	.	PUNCT
brj-24265	351	12	,	,	PUNCT
brj-24265	351	13	park	park	PROPN
brj-24265	351	14	,	,	PUNCT
brj-24265	351	15	g.	g.	PROPN
brj-24265	351	16	,	,	PUNCT
brj-24265	351	17	kim	kim	PROPN
brj-24265	351	18	,	,	PUNCT
brj-24265	351	19	j.	j.	PROPN
brj-24265	351	20	,	,	PUNCT
brj-24265	351	21	kang	kang	PROPN
brj-24265	351	22	,	,	PUNCT
brj-24265	351	23	k.-h	k.-h	PROPN
brj-24265	351	24	.	.	PUNCT
brj-24265	351	25	,	,	PUNCT
brj-24265	351	26	and	and	CCONJ
brj-24265	351	27	lee	lee	PROPN
brj-24265	351	28	,	,	PUNCT
brj-24265	351	29	w.-h	w.-h	NOUN
brj-24265	351	30	.	.	PUNCT
brj-24265	352	1	(	(	PUNCT
brj-24265	352	2	2024	2024	NUM
brj-24265	352	3	)	)	PUNCT
brj-24265	352	4	.	.	PUNCT
brj-24265	353	1	“	"	PUNCT
brj-24265	353	2	one	one	NUM
brj-24265	353	3	-	-	PUNCT
brj-24265	353	4	dimensional	dimensional	ADJ
brj-24265	353	5	convolutional	convolutional	ADJ
brj-24265	353	6	neural	neural	ADJ
brj-24265	353	7	networks	network	NOUN
brj-24265	353	8	with	with	ADP
brj-24265	353	9	infrared	infrared	ADJ
brj-24265	353	10	spectroscopy	spectroscopy	NOUN
brj-24265	353	11	for	for	ADP
brj-24265	353	12	classifying	classify	VERB
brj-24265	353	13	the	the	DET
brj-24265	353	14	origin	origin	NOUN
brj-24265	353	15	of	of	ADP
brj-24265	353	16	printing	printing	NOUN
brj-24265	353	17	paper	paper	NOUN
brj-24265	353	18	,	,	PUNCT
brj-24265	353	19	”	"	PUNCT
brj-24265	353	20	bioresources	bioresource	NOUN
brj-24265	353	21	19(1	19(1	NUM
brj-24265	353	22	)	)	PUNCT
brj-24265	353	23	,	,	PUNCT
brj-24265	353	24	1633	1633	NUM
brj-24265	353	25	-	-	SYM
brj-24265	353	26	1651	1651	NUM
brj-24265	353	27	.	.	PUNCT
brj-24265	354	1	doi	doi	NOUN
brj-24265	354	2	:	:	PUNCT
brj-24265	354	3	10.15376	10.15376	NUM
brj-24265	354	4	/	/	SYM
brj-24265	354	5	biores.19.1.16331651	biores.19.1.16331651	NOUN
brj-24265	354	6	jeong	jeong	PROPN
brj-24265	354	7	,	,	PUNCT
brj-24265	354	8	c.	c.	PROPN
brj-24265	354	9	w.	w.	PROPN
brj-24265	354	10	,	,	PUNCT
brj-24265	354	11	lee	lee	PROPN
brj-24265	354	12	,	,	PUNCT
brj-24265	354	13	y.	y.	PROPN
brj-24265	354	14	j.	j.	PROPN
brj-24265	354	15	,	,	PUNCT
brj-24265	354	16	chang	chang	PROPN
brj-24265	354	17	shin	shin	PROPN
brj-24265	354	18	,	,	PUNCT
brj-24265	354	19	y.	y.	PROPN
brj-24265	354	20	,	,	PUNCT
brj-24265	354	21	choi	choi	NOUN
brj-24265	354	22	,	,	PUNCT
brj-24265	354	23	m.	m.	NOUN
brj-24265	354	24	j.	j.	PROPN
brj-24265	354	25	,	,	PUNCT
brj-24265	354	26	and	and	CCONJ
brj-24265	354	27	kim	kim	PROPN
brj-24265	354	28	,	,	PUNCT
brj-24265	354	29	h.	h.	PROPN
brj-24265	354	30	j.	j.	PROPN
brj-24265	354	31	(	(	PUNCT
brj-24265	354	32	2024a	2024a	NUM
brj-24265	354	33	)	)	PUNCT
brj-24265	354	34	.	.	PUNCT
brj-24265	355	1	“	"	PUNCT
brj-24265	355	2	paper	paper	NOUN
brj-24265	355	3	fingerprint	fingerprint	NOUN
brj-24265	355	4	by	by	ADP
brj-24265	355	5	forming	form	VERB
brj-24265	355	6	fabric	fabric	NOUN
brj-24265	355	7	:	:	PUNCT
brj-24265	355	8	analysis	analysis	NOUN
brj-24265	355	9	of	of	ADP
brj-24265	355	10	periodic	periodic	ADJ
brj-24265	355	11	marks	mark	NOUN
brj-24265	355	12	with	with	ADP
brj-24265	355	13	2d	2d	NUM
brj-24265	355	14	lab	lab	NOUN
brj-24265	355	15	formation	formation	NOUN
brj-24265	355	16	sensor	sensor	NOUN
brj-24265	355	17	and	and	CCONJ
brj-24265	355	18	machine	machine	NOUN
brj-24265	355	19	learning	learning	NOUN
brj-24265	355	20	for	for	ADP
brj-24265	355	21	forensic	forensic	ADJ
brj-24265	355	22	paper	paper	NOUN
brj-24265	355	23	-	-	PUNCT
brj-24265	355	24	identification	identification	NOUN
brj-24265	355	25	,	,	PUNCT
brj-24265	355	26	”	"	PUNCT
brj-24265	355	27	nordic	nordic	ADJ
brj-24265	355	28	pulp	pulp	NOUN
brj-24265	355	29	and	and	CCONJ
brj-24265	355	30	peer	peer	NOUN
brj-24265	355	31	-	-	PUNCT
brj-24265	355	32	reviewed	review	VERB
brj-24265	355	33	article	article	NOUN
brj-24265	355	34	bioresources.cnr.ncsu.edu	bioresources.cnr.ncsu.edu	ADP
brj-24265	355	35	lee	lee	PROPN
brj-24265	355	36	et	et	PROPN
brj-24265	355	37	al	al	PROPN
brj-24265	355	38	.	.	PROPN
brj-24265	356	1	(	(	PUNCT
brj-24265	356	2	2025	2025	NUM
brj-24265	356	3	)	)	PUNCT
brj-24265	356	4	.	.	PUNCT
brj-24265	357	1	“	"	PUNCT
brj-24265	357	2	wire	wire	NOUN
brj-24265	357	3	-	-	PUNCT
brj-24265	357	4	mark	mark	NOUN
brj-24265	357	5	analysis	analysis	NOUN
brj-24265	357	6	of	of	ADP
brj-24265	357	7	paper	paper	NOUN
brj-24265	357	8	,	,	PUNCT
brj-24265	357	9	”	"	PUNCT
brj-24265	357	10	bioresources	bioresource	VERB
brj-24265	357	11	20(4	20(4	NOUN
brj-24265	357	12	)	)	PUNCT
brj-24265	357	13	,	,	PUNCT
brj-24265	357	14	9208	9208	NUM
brj-24265	357	15	-	-	SYM
brj-24265	357	16	9225	9225	NUM
brj-24265	357	17	.	.	PUNCT
brj-24265	358	1	9225	9225	NUM
brj-24265	358	2	paper	paper	NOUN
brj-24265	358	3	research	research	NOUN
brj-24265	358	4	journal	journal	PROPN
brj-24265	358	5	39(4	39(4	NOUN
brj-24265	358	6	)	)	PUNCT
brj-24265	358	7	,	,	PUNCT
brj-24265	358	8	747	747	NUM
brj-24265	358	9	-	-	SYM
brj-24265	358	10	757	757	NUM
brj-24265	358	11	.	.	PUNCT
brj-24265	359	1	doi	doi	NOUN
brj-24265	359	2	:	:	PUNCT
brj-24265	359	3	10.1515	10.1515	NUM
brj-24265	359	4	/	/	SYM
brj-24265	359	5	npprj-2024	npprj-2024	ADJ
brj-24265	359	6	-	-	PUNCT
brj-24265	359	7	0050	0050	NUM
brj-24265	359	8	jeong	jeong	PROPN
brj-24265	359	9	,	,	PUNCT
brj-24265	359	10	c.	c.	PROPN
brj-24265	359	11	w.	w.	PROPN
brj-24265	359	12	,	,	PUNCT
brj-24265	359	13	lee	lee	PROPN
brj-24265	359	14	,	,	PUNCT
brj-24265	359	15	y.	y.	PROPN
brj-24265	359	16	j.	j.	PROPN
brj-24265	359	17	,	,	PUNCT
brj-24265	359	18	and	and	CCONJ
brj-24265	359	19	kim	kim	PROPN
brj-24265	359	20	,	,	PUNCT
brj-24265	359	21	h.	h.	PROPN
brj-24265	359	22	j.	j.	PROPN
brj-24265	359	23	(	(	PUNCT
brj-24265	359	24	2024b	2024b	NUM
brj-24265	359	25	)	)	PUNCT
brj-24265	359	26	.	.	PUNCT
brj-24265	360	1	“	"	PUNCT
brj-24265	360	2	analysis	analysis	NOUN
brj-24265	360	3	of	of	ADP
brj-24265	360	4	periodic	periodic	ADJ
brj-24265	360	5	marks	mark	NOUN
brj-24265	360	6	for	for	ADP
brj-24265	360	7	forensic	forensic	ADJ
brj-24265	360	8	document	document	NOUN
brj-24265	360	9	examination	examination	NOUN
brj-24265	360	10	using	use	VERB
brj-24265	360	11	boosting	boost	VERB
brj-24265	360	12	algorithms	algorithm	NOUN
brj-24265	360	13	,	,	PUNCT
brj-24265	360	14	”	"	PUNCT
brj-24265	360	15	j.	j.	PROPN
brj-24265	360	16	korea	korea	PROPN
brj-24265	360	17	technical	technical	PROPN
brj-24265	360	18	assoc.pulp	assoc.pulp	PROPN
brj-24265	360	19	and	and	CCONJ
brj-24265	360	20	paper	paper	NOUN
brj-24265	360	21	industry	industry	NOUN
brj-24265	360	22	56(4	56(4	PROPN
brj-24265	360	23	)	)	PUNCT
brj-24265	360	24	,	,	PUNCT
brj-24265	360	25	65	65	NUM
brj-24265	360	26	-	-	SYM
brj-24265	360	27	73	73	NUM
brj-24265	360	28	.	.	PUNCT
brj-24265	361	1	doi	doi	NOUN
brj-24265	361	2	:	:	PUNCT
brj-24265	361	3	10.7584	10.7584	NUM
brj-24265	361	4	/	/	SYM
brj-24265	361	5	jktappi.2024.8.56.4.65	jktappi.2024.8.56.4.65	NOUN
brj-24265	361	6	kuptsov	kuptsov	NOUN
brj-24265	361	7	,	,	PUNCT
brj-24265	361	8	a.	a.	PROPN
brj-24265	361	9	h.	h.	PROPN
brj-24265	361	10	(	(	PUNCT
brj-24265	361	11	1994	1994	NUM
brj-24265	361	12	)	)	PUNCT
brj-24265	361	13	.	.	PUNCT
brj-24265	362	1	“	"	PUNCT
brj-24265	362	2	applications	application	NOUN
brj-24265	362	3	of	of	ADP
brj-24265	362	4	fourier	fourier	NOUN
brj-24265	362	5	transform	transform	NOUN
brj-24265	362	6	raman	raman	NOUN
brj-24265	362	7	spectroscopy	spectroscopy	NOUN
brj-24265	362	8	in	in	ADP
brj-24265	362	9	forensic	forensic	ADJ
brj-24265	362	10	science	science	NOUN
brj-24265	362	11	,	,	PUNCT
brj-24265	362	12	”	"	PUNCT
brj-24265	362	13	j.	j.	PROPN
brj-24265	362	14	forensic	forensic	PROPN
brj-24265	362	15	sci	sci	PROPN
brj-24265	362	16	.	.	PUNCT
brj-24265	362	17	39(2	39(2	NUM
brj-24265	362	18	)	)	PUNCT
brj-24265	362	19	,	,	PUNCT
brj-24265	362	20	305	305	NUM
brj-24265	362	21	-	-	SYM
brj-24265	362	22	318	318	NUM
brj-24265	362	23	.	.	PUNCT
brj-24265	363	1	doi	doi	NOUN
brj-24265	363	2	:	:	PUNCT
brj-24265	363	3	10.1520	10.1520	NUM
brj-24265	363	4	/	/	SYM
brj-24265	363	5	jfs13604j	jfs13604j	PROPN
brj-24265	363	6	lee	lee	PROPN
brj-24265	363	7	,	,	PUNCT
brj-24265	363	8	y.	y.	PROPN
brj-24265	363	9	j.	j.	PROPN
brj-24265	363	10	,	,	PUNCT
brj-24265	363	11	lee	lee	PROPN
brj-24265	363	12	,	,	PUNCT
brj-24265	363	13	t.-j	t.-j	PROPN
brj-24265	363	14	.	.	PROPN
brj-24265	363	15	,	,	PUNCT
brj-24265	363	16	and	and	CCONJ
brj-24265	363	17	kim	kim	PROPN
brj-24265	363	18	,	,	PUNCT
brj-24265	363	19	h.	h.	PROPN
brj-24265	363	20	j.	j.	PROPN
brj-24265	363	21	(	(	PUNCT
brj-24265	363	22	2024a	2024a	NUM
brj-24265	363	23	)	)	PUNCT
brj-24265	363	24	.	.	PUNCT
brj-24265	364	1	“	"	PUNCT
brj-24265	364	2	classification	classification	NOUN
brj-24265	364	3	analysis	analysis	NOUN
brj-24265	364	4	of	of	ADP
brj-24265	364	5	copy	copy	NOUN
brj-24265	364	6	papers	paper	NOUN
brj-24265	364	7	using	use	VERB
brj-24265	364	8	infrared	infrared	ADJ
brj-24265	364	9	spectroscopy	spectroscopy	NOUN
brj-24265	364	10	and	and	CCONJ
brj-24265	364	11	machine	machine	NOUN
brj-24265	364	12	learning	learn	VERB
brj-24265	364	13	modeling	modeling	NOUN
brj-24265	364	14	,	,	PUNCT
brj-24265	364	15	”	"	PUNCT
brj-24265	364	16	bioresources	bioresource	NOUN
brj-24265	364	17	19(1	19(1	NUM
brj-24265	364	18	)	)	PUNCT
brj-24265	364	19	.	.	PUNCT
brj-24265	365	1	doi	doi	NOUN
brj-24265	365	2	:	:	PUNCT
brj-24265	365	3	10.15376	10.15376	NUM
brj-24265	365	4	/	/	SYM
brj-24265	365	5	biores.19.1.160	biores.19.1.160	NOUN
brj-24265	365	6	-	-	SYM
brj-24265	365	7	182	182	NUM
brj-24265	365	8	lee	lee	PROPN
brj-24265	365	9	,	,	PUNCT
brj-24265	365	10	y.	y.	PROPN
brj-24265	365	11	j.	j.	PROPN
brj-24265	365	12	,	,	PUNCT
brj-24265	365	13	won	win	VERB
brj-24265	365	14	,	,	PUNCT
brj-24265	365	15	s.	s.	PROPN
brj-24265	365	16	y.	y.	PROPN
brj-24265	365	17	,	,	PUNCT
brj-24265	365	18	park	park	PROPN
brj-24265	365	19	,	,	PUNCT
brj-24265	365	20	s.	s.	PROPN
brj-24265	365	21	b.	b.	PROPN
brj-24265	365	22	,	,	PUNCT
brj-24265	365	23	and	and	CCONJ
brj-24265	365	24	kim	kim	PROPN
brj-24265	365	25	,	,	PUNCT
brj-24265	365	26	h.-j	h.-j	PROPN
brj-24265	365	27	.	.	PUNCT
brj-24265	366	1	(	(	PUNCT
brj-24265	366	2	2024b	2024b	NUM
brj-24265	366	3	)	)	PUNCT
brj-24265	366	4	.	.	PUNCT
brj-24265	367	1	“	"	PUNCT
brj-24265	367	2	chemometric	chemometric	ADJ
brj-24265	367	3	approaches	approach	NOUN
brj-24265	367	4	for	for	ADP
brj-24265	367	5	discriminating	discriminate	VERB
brj-24265	367	6	manufacturers	manufacturer	NOUN
brj-24265	367	7	of	of	ADP
brj-24265	367	8	korean	korean	ADJ
brj-24265	367	9	handmade	handmade	NOUN
brj-24265	367	10	paper	paper	NOUN
brj-24265	367	11	using	use	VERB
brj-24265	367	12	infrared	infrared	ADJ
brj-24265	367	13	spectroscopy	spectroscopy	NOUN
brj-24265	367	14	,	,	PUNCT
brj-24265	367	15	”	"	PUNCT
brj-24265	367	16	heritage	heritage	NOUN
brj-24265	367	17	science	science	NOUN
brj-24265	367	18	12(1	12(1	NUM
brj-24265	367	19	)	)	PUNCT
brj-24265	367	20	,	,	PUNCT
brj-24265	367	21	1	1	NUM
brj-24265	367	22	-	-	SYM
brj-24265	367	23	12	12	NUM
brj-24265	367	24	.	.	PUNCT
brj-24265	368	1	doi	doi	NOUN
brj-24265	368	2	:	:	PUNCT
brj-24265	368	3	10.1186	10.1186	NUM
brj-24265	368	4	/	/	SYM
brj-24265	368	5	s40494	s40494	PROPN
brj-24265	368	6	-	-	PUNCT
brj-24265	368	7	024	024	NUM
brj-24265	368	8	-	-	PUNCT
brj-24265	368	9	01460	01460	NUM
brj-24265	368	10	-	-	SYM
brj-24265	368	11	6	6	NUM
brj-24265	368	12	lee	lee	PROPN
brj-24265	368	13	,	,	PUNCT
brj-24265	368	14	y.	y.	PROPN
brj-24265	368	15	j.	j.	PROPN
brj-24265	368	16	,	,	PUNCT
brj-24265	368	17	jeong	jeong	PROPN
brj-24265	368	18	,	,	PUNCT
brj-24265	368	19	c.	c.	PROPN
brj-24265	368	20	w.	w.	PROPN
brj-24265	368	21	,	,	PUNCT
brj-24265	368	22	and	and	CCONJ
brj-24265	368	23	kim	kim	PROPN
brj-24265	368	24	,	,	PUNCT
brj-24265	368	25	h.	h.	PROPN
brj-24265	368	26	j.	j.	PROPN
brj-24265	368	27	(	(	PUNCT
brj-24265	368	28	2024c	2024c	NUM
brj-24265	368	29	)	)	PUNCT
brj-24265	368	30	.	.	PUNCT
brj-24265	369	1	“	"	PUNCT
brj-24265	369	2	paper	paper	NOUN
brj-24265	369	3	fingerprint	fingerprint	NOUN
brj-24265	369	4	by	by	ADP
brj-24265	369	5	forming	form	VERB
brj-24265	369	6	fabric	fabric	NOUN
brj-24265	369	7	:	:	PUNCT
brj-24265	369	8	analysis	analysis	NOUN
brj-24265	369	9	of	of	ADP
brj-24265	369	10	periodic	periodic	ADJ
brj-24265	369	11	marks	mark	NOUN
brj-24265	369	12	with	with	ADP
brj-24265	369	13	2d	2d	NUM
brj-24265	369	14	lab	lab	NOUN
brj-24265	369	15	formation	formation	NOUN
brj-24265	369	16	sensor	sensor	NOUN
brj-24265	369	17	and	and	CCONJ
brj-24265	369	18	artificial	artificial	ADJ
brj-24265	369	19	neural	neural	ADJ
brj-24265	369	20	network	network	NOUN
brj-24265	369	21	for	for	ADP
brj-24265	369	22	forensic	forensic	ADJ
brj-24265	369	23	document	document	NOUN
brj-24265	369	24	dating	date	VERB
brj-24265	369	25	,	,	PUNCT
brj-24265	369	26	”	"	PUNCT
brj-24265	369	27	bioresources	bioresource	NOUN
brj-24265	369	28	19(4	19(4	NUM
brj-24265	369	29	)	)	PUNCT
brj-24265	369	30	,	,	PUNCT
brj-24265	369	31	7591	7591	NUM
brj-24265	369	32	-	-	SYM
brj-24265	369	33	7605	7605	NUM
brj-24265	369	34	.	.	PUNCT
brj-24265	370	1	doi	doi	NOUN
brj-24265	370	2	:	:	PUNCT
brj-24265	370	3	10.15376	10.15376	NUM
brj-24265	370	4	/	/	SYM
brj-24265	370	5	biores.19.4.7591	biores.19.4.7591	NOUN
brj-24265	370	6	-	-	PUNCT
brj-24265	370	7	7605	7605	NUM
brj-24265	370	8	lee	lee	PROPN
brj-24265	370	9	,	,	PUNCT
brj-24265	370	10	y.	y.	PROPN
brj-24265	370	11	j.	j.	PROPN
brj-24265	370	12	,	,	PUNCT
brj-24265	370	13	kweon	kweon	PROPN
brj-24265	370	14	,	,	PUNCT
brj-24265	370	15	s.	s.	PROPN
brj-24265	370	16	w.	w.	PROPN
brj-24265	370	17	,	,	PUNCT
brj-24265	370	18	jeong	jeong	PROPN
brj-24265	370	19	,	,	PUNCT
brj-24265	370	20	c.	c.	PROPN
brj-24265	370	21	w.	w.	PROPN
brj-24265	370	22	,	,	PUNCT
brj-24265	370	23	and	and	CCONJ
brj-24265	370	24	kim	kim	PROPN
brj-24265	370	25	,	,	PUNCT
brj-24265	370	26	h.	h.	PROPN
brj-24265	370	27	j.	j.	PROPN
brj-24265	370	28	(	(	PUNCT
brj-24265	370	29	2025a	2025a	NUM
brj-24265	370	30	)	)	PUNCT
brj-24265	370	31	.	.	PUNCT
brj-24265	371	1	“	"	PUNCT
brj-24265	371	2	evaluating	evaluate	VERB
brj-24265	371	3	the	the	DET
brj-24265	371	4	performance	performance	NOUN
brj-24265	371	5	of	of	ADP
brj-24265	371	6	machine	machine	NOUN
brj-24265	371	7	learning	learning	NOUN
brj-24265	371	8	and	and	CCONJ
brj-24265	371	9	variable	variable	ADJ
brj-24265	371	10	selection	selection	NOUN
brj-24265	371	11	methods	method	NOUN
brj-24265	371	12	to	to	PART
brj-24265	371	13	identify	identify	VERB
brj-24265	371	14	document	document	NOUN
brj-24265	371	15	paper	paper	NOUN
brj-24265	371	16	using	use	VERB
brj-24265	371	17	infrared	infrared	ADJ
brj-24265	371	18	spectral	spectral	ADJ
brj-24265	371	19	data	datum	NOUN
brj-24265	371	20	,	,	PUNCT
brj-24265	371	21	”	"	PUNCT
brj-24265	371	22	spectrochimica	spectrochimica	NOUN
brj-24265	371	23	acta	acta	PROPN
brj-24265	371	24	part	part	NOUN
brj-24265	371	25	a	a	DET
brj-24265	371	26	:	:	PUNCT
brj-24265	371	27	molecular	molecular	ADJ
brj-24265	371	28	and	and	CCONJ
brj-24265	371	29	biomolecular	biomolecular	ADJ
brj-24265	371	30	spectroscopy	spectroscopy	NOUN
brj-24265	371	31	327	327	NUM
brj-24265	371	32	,	,	PUNCT
brj-24265	371	33	article	article	NOUN
brj-24265	371	34	125299	125299	NUM
brj-24265	371	35	.	.	PUNCT
brj-24265	372	1	doi	doi	NOUN
brj-24265	372	2	:	:	PUNCT
brj-24265	372	3	10.1016	10.1016	NUM
brj-24265	372	4	/	/	SYM
brj-24265	372	5	j.saa.2024.125299	j.saa.2024.125299	PROPN
brj-24265	372	6	lee	lee	PROPN
brj-24265	372	7	,	,	PUNCT
brj-24265	372	8	y.	y.	PROPN
brj-24265	372	9	j.	j.	PROPN
brj-24265	372	10	,	,	PUNCT
brj-24265	372	11	jeong	jeong	PROPN
brj-24265	372	12	,	,	PUNCT
brj-24265	372	13	c.	c.	PROPN
brj-24265	372	14	w.	w.	PROPN
brj-24265	372	15	,	,	PUNCT
brj-24265	372	16	and	and	CCONJ
brj-24265	372	17	kim	kim	PROPN
brj-24265	372	18	,	,	PUNCT
brj-24265	372	19	h.	h.	PROPN
brj-24265	372	20	j.	j.	PROPN
brj-24265	372	21	(	(	PUNCT
brj-24265	372	22	2025b	2025b	NUM
brj-24265	372	23	)	)	PUNCT
brj-24265	372	24	.	.	PUNCT
brj-24265	373	1	“	"	PUNCT
brj-24265	373	2	forensic	forensic	ADJ
brj-24265	373	3	feature	feature	NOUN
brj-24265	373	4	extraction	extraction	NOUN
brj-24265	373	5	of	of	ADP
brj-24265	373	6	document	document	NOUN
brj-24265	373	7	paper	paper	NOUN
brj-24265	373	8	using	use	VERB
brj-24265	373	9	periodic	periodic	ADJ
brj-24265	373	10	marks	mark	NOUN
brj-24265	373	11	:	:	PUNCT
brj-24265	373	12	pca	pca	PROPN
brj-24265	373	13	and	and	CCONJ
brj-24265	373	14	t	t	PROPN
brj-24265	373	15	-	-	PUNCT
brj-24265	373	16	sne	sne	PROPN
brj-24265	373	17	for	for	ADP
brj-24265	373	18	manufacturer	manufacturer	NOUN
brj-24265	373	19	discrimination	discrimination	NOUN
brj-24265	373	20	and	and	CCONJ
brj-24265	373	21	document	document	NOUN
brj-24265	373	22	dating	date	VERB
brj-24265	373	23	,	,	PUNCT
brj-24265	373	24	”	"	PUNCT
brj-24265	373	25	forensic	forensic	ADJ
brj-24265	373	26	science	science	NOUN
brj-24265	373	27	international	international	PROPN
brj-24265	373	28	367	367	NUM
brj-24265	373	29	,	,	PUNCT
brj-24265	373	30	article	article	NOUN
brj-24265	373	31	112348	112348	NUM
brj-24265	373	32	.	.	PUNCT
brj-24265	374	1	doi	doi	NOUN
brj-24265	374	2	:	:	PUNCT
brj-24265	374	3	10.1016	10.1016	NUM
brj-24265	374	4	/	/	SYM
brj-24265	374	5	j.forsciint.2024.112348	j.forsciint.2024.112348	ADJ
brj-24265	374	6	louppe	louppe	PROPN
brj-24265	374	7	,	,	PUNCT
brj-24265	374	8	g.	g.	PROPN
brj-24265	374	9	,	,	PUNCT
brj-24265	374	10	wehenkel	wehenkel	PROPN
brj-24265	374	11	,	,	PUNCT
brj-24265	374	12	l.	l.	PROPN
brj-24265	374	13	,	,	PUNCT
brj-24265	374	14	sutera	sutera	NOUN
brj-24265	374	15	,	,	PUNCT
brj-24265	374	16	a.	a.	NOUN
brj-24265	374	17	,	,	PUNCT
brj-24265	374	18	and	and	CCONJ
brj-24265	374	19	geurts	geurt	NOUN
brj-24265	374	20	,	,	PUNCT
brj-24265	374	21	p.	p.	NOUN
brj-24265	374	22	(	(	PUNCT
brj-24265	374	23	2013	2013	NUM
brj-24265	374	24	)	)	PUNCT
brj-24265	374	25	.	.	PUNCT
brj-24265	375	1	“	"	PUNCT
brj-24265	375	2	understanding	understand	VERB
brj-24265	375	3	variable	variable	ADJ
brj-24265	375	4	importances	importance	NOUN
brj-24265	375	5	in	in	ADP
brj-24265	375	6	forests	forest	NOUN
brj-24265	375	7	of	of	ADP
brj-24265	375	8	randomized	randomized	ADJ
brj-24265	375	9	trees	tree	NOUN
brj-24265	375	10	,	,	PUNCT
brj-24265	375	11	”	"	PUNCT
brj-24265	375	12	in	in	ADP
brj-24265	375	13	:	:	PUNCT
brj-24265	375	14	advances	advance	NOUN
brj-24265	375	15	in	in	ADP
brj-24265	375	16	neural	neural	ADJ
brj-24265	375	17	information	information	NOUN
brj-24265	375	18	processing	processing	NOUN
brj-24265	375	19	systems	system	NOUN
brj-24265	375	20	26	26	NUM
brj-24265	375	21	,	,	PUNCT
brj-24265	375	22	lake	lake	PROPN
brj-24265	375	23	tahoe	tahoe	PROPN
brj-24265	375	24	,	,	PUNCT
brj-24265	375	25	nevada	nevada	PROPN
brj-24265	375	26	,	,	PUNCT
brj-24265	375	27	usa	usa	PROPN
brj-24265	375	28	.	.	PROPN
brj-24265	375	29	lundberg	lundberg	PROPN
brj-24265	375	30	,	,	PUNCT
brj-24265	375	31	s.	s.	PROPN
brj-24265	375	32	m.	m.	PROPN
brj-24265	375	33	,	,	PUNCT
brj-24265	375	34	and	and	CCONJ
brj-24265	375	35	lee	lee	PROPN
brj-24265	375	36	,	,	PUNCT
brj-24265	375	37	s.	s.	PROPN
brj-24265	375	38	i.	i.	PROPN
brj-24265	375	39	(	(	PUNCT
brj-24265	375	40	2017	2017	NUM
brj-24265	375	41	)	)	PUNCT
brj-24265	375	42	.	.	PUNCT
brj-24265	376	1	“	"	PUNCT
brj-24265	376	2	a	a	DET
brj-24265	376	3	unified	unified	ADJ
brj-24265	376	4	approach	approach	NOUN
brj-24265	376	5	to	to	ADP
brj-24265	376	6	interpreting	interpret	VERB
brj-24265	376	7	model	model	NOUN
brj-24265	376	8	predictions	prediction	NOUN
brj-24265	376	9	,	,	PUNCT
brj-24265	376	10	”	"	PUNCT
brj-24265	376	11	in	in	ADP
brj-24265	376	12	:	:	PUNCT
brj-24265	376	13	advances	advance	NOUN
brj-24265	376	14	in	in	ADP
brj-24265	376	15	neural	neural	ADJ
brj-24265	376	16	information	information	NOUN
brj-24265	376	17	processing	processing	NOUN
brj-24265	376	18	systems	system	NOUN
brj-24265	376	19	30	30	NUM
brj-24265	376	20	,	,	PUNCT
brj-24265	376	21	long	long	ADJ
brj-24265	376	22	beach	beach	NOUN
brj-24265	376	23	,	,	PUNCT
brj-24265	376	24	california	california	PROPN
brj-24265	376	25	,	,	PUNCT
brj-24265	376	26	usa	usa	PROPN
brj-24265	376	27	.	.	PROPN
brj-24265	376	28	małachowska	małachowska	PROPN
brj-24265	376	29	,	,	PUNCT
brj-24265	376	30	e.	e.	PROPN
brj-24265	376	31	,	,	PUNCT
brj-24265	376	32	dubowik	dubowik	PROPN
brj-24265	376	33	,	,	PUNCT
brj-24265	376	34	m.	m.	NOUN
brj-24265	376	35	,	,	PUNCT
brj-24265	376	36	boruszewski	boruszewski	NOUN
brj-24265	376	37	,	,	PUNCT
brj-24265	376	38	p.	p.	NOUN
brj-24265	376	39	,	,	PUNCT
brj-24265	376	40	and	and	CCONJ
brj-24265	376	41	przybysz	przybysz	NOUN
brj-24265	376	42	,	,	PUNCT
brj-24265	376	43	p.	p.	NOUN
brj-24265	376	44	(	(	PUNCT
brj-24265	376	45	2021	2021	NUM
brj-24265	376	46	)	)	PUNCT
brj-24265	376	47	.	.	PUNCT
brj-24265	377	1	“	"	PUNCT
brj-24265	377	2	accelerated	accelerate	VERB
brj-24265	377	3	ageing	ageing	NOUN
brj-24265	377	4	of	of	ADP
brj-24265	377	5	paper	paper	NOUN
brj-24265	377	6	:	:	PUNCT
brj-24265	377	7	effect	effect	NOUN
brj-24265	377	8	of	of	ADP
brj-24265	377	9	lignin	lignin	NOUN
brj-24265	377	10	content	content	NOUN
brj-24265	377	11	and	and	CCONJ
brj-24265	377	12	humidity	humidity	NOUN
brj-24265	377	13	on	on	ADP
brj-24265	377	14	tensile	tensile	NOUN
brj-24265	377	15	properties	property	NOUN
brj-24265	377	16	,	,	PUNCT
brj-24265	377	17	”	"	PUNCT
brj-24265	377	18	heritage	heritage	NOUN
brj-24265	377	19	science	science	NOUN
brj-24265	377	20	9	9	NUM
brj-24265	377	21	,	,	PUNCT
brj-24265	377	22	1	1	NUM
brj-24265	377	23	-	-	SYM
brj-24265	377	24	8	8	NUM
brj-24265	377	25	.	.	PUNCT
brj-24265	378	1	doi	doi	NOUN
brj-24265	378	2	:	:	PUNCT
brj-24265	378	3	10.1186	10.1186	NUM
brj-24265	378	4	/	/	SYM
brj-24265	378	5	s40494	s40494	PROPN
brj-24265	378	6	-	-	PUNCT
brj-24265	378	7	021	021	NUM
brj-24265	378	8	-	-	PUNCT
brj-24265	378	9	00611	00611	NUM
brj-24265	378	10	-	-	SYM
brj-24265	378	11	3	3	NUM
brj-24265	378	12	miyata	miyata	NOUN
brj-24265	378	13	,	,	PUNCT
brj-24265	378	14	h.	h.	PROPN
brj-24265	378	15	,	,	PUNCT
brj-24265	378	16	shinozaki	shinozaki	PROPN
brj-24265	378	17	,	,	PUNCT
brj-24265	378	18	m.	m.	NOUN
brj-24265	378	19	,	,	PUNCT
brj-24265	378	20	nakayama	nakayama	PROPN
brj-24265	378	21	,	,	PUNCT
brj-24265	378	22	t.	t.	NOUN
brj-24265	378	23	,	,	PUNCT
brj-24265	378	24	and	and	CCONJ
brj-24265	378	25	enomae	enomae	NOUN
brj-24265	378	26	,	,	PUNCT
brj-24265	378	27	t.	t.	PROPN
brj-24265	378	28	(	(	PUNCT
brj-24265	378	29	2002	2002	NUM
brj-24265	378	30	)	)	PUNCT
brj-24265	378	31	.	.	PUNCT
brj-24265	379	1	“	"	PUNCT
brj-24265	379	2	a	a	DET
brj-24265	379	3	discrimination	discrimination	NOUN
brj-24265	379	4	method	method	NOUN
brj-24265	379	5	for	for	ADP
brj-24265	379	6	paper	paper	NOUN
brj-24265	379	7	by	by	ADP
brj-24265	379	8	fourier	fourier	NOUN
brj-24265	379	9	transform	transform	NOUN
brj-24265	379	10	and	and	CCONJ
brj-24265	379	11	cross	cross	NOUN
brj-24265	379	12	correlation	correlation	NOUN
brj-24265	379	13	,	,	PUNCT
brj-24265	379	14	”	"	PUNCT
brj-24265	379	15	journal	journal	NOUN
brj-24265	379	16	of	of	ADP
brj-24265	379	17	forensic	forensic	ADJ
brj-24265	379	18	sciences	science	NOUN
brj-24265	379	19	47(5	47(5	NOUN
brj-24265	379	20	)	)	PUNCT
brj-24265	379	21	,	,	PUNCT
brj-24265	379	22	1125	1125	NUM
brj-24265	379	23	-	-	SYM
brj-24265	379	24	1132	1132	NUM
brj-24265	379	25	.	.	PUNCT
brj-24265	380	1	doi	doi	NOUN
brj-24265	380	2	:	:	PUNCT
brj-24265	380	3	10.1520	10.1520	NUM
brj-24265	380	4	/	/	SYM
brj-24265	380	5	jfs15491j	jfs15491j	PROPN
brj-24265	380	6	rhein	rhein	NOUN
brj-24265	380	7	,	,	PUNCT
brj-24265	380	8	f.	f.	PROPN
brj-24265	380	9	,	,	PUNCT
brj-24265	380	10	hibbe	hibbe	NOUN
brj-24265	380	11	,	,	PUNCT
brj-24265	380	12	l.	l.	PROPN
brj-24265	380	13	,	,	PUNCT
brj-24265	380	14	and	and	CCONJ
brj-24265	380	15	nirschl	nirschl	PROPN
brj-24265	380	16	,	,	PUNCT
brj-24265	380	17	h.	h.	PROPN
brj-24265	380	18	(	(	PUNCT
brj-24265	380	19	2024	2024	NUM
brj-24265	380	20	)	)	PUNCT
brj-24265	380	21	.	.	PUNCT
brj-24265	381	1	“	"	PUNCT
brj-24265	381	2	hybrid	hybrid	ADJ
brj-24265	381	3	modeling	modeling	NOUN
brj-24265	381	4	of	of	ADP
brj-24265	381	5	hetero	hetero	NOUN
brj-24265	381	6	-	-	PUNCT
brj-24265	381	7	agglomeration	agglomeration	NOUN
brj-24265	381	8	processes	process	NOUN
brj-24265	381	9	:	:	PUNCT
brj-24265	381	10	a	a	DET
brj-24265	381	11	framework	framework	NOUN
brj-24265	381	12	for	for	ADP
brj-24265	381	13	model	model	NOUN
brj-24265	381	14	selection	selection	NOUN
brj-24265	381	15	and	and	CCONJ
brj-24265	381	16	arrangement	arrangement	NOUN
brj-24265	381	17	,	,	PUNCT
brj-24265	381	18	”	"	PUNCT
brj-24265	381	19	engineering	engineering	NOUN
brj-24265	381	20	with	with	ADP
brj-24265	381	21	computers	computer	NOUN
brj-24265	381	22	40(1	40(1	NUM
brj-24265	381	23	)	)	PUNCT
brj-24265	381	24	,	,	PUNCT
brj-24265	381	25	583	583	NUM
brj-24265	381	26	-	-	SYM
brj-24265	381	27	604	604	NUM
brj-24265	381	28	.	.	PUNCT
brj-24265	382	1	doi	doi	NOUN
brj-24265	382	2	:	:	PUNCT
brj-24265	382	3	10.1007	10.1007	NUM
brj-24265	382	4	/	/	SYM
brj-24265	382	5	s00366	s00366	VERB
brj-24265	382	6	-	-	PUNCT
brj-24265	382	7	023	023	NUM
brj-24265	382	8	-	-	PUNCT
brj-24265	382	9	01809	01809	NUM
brj-24265	382	10	-	-	SYM
brj-24265	382	11	8	8	NUM
brj-24265	382	12	smook	smook	NOUN
brj-24265	382	13	,	,	PUNCT
brj-24265	382	14	g.	g.	PROPN
brj-24265	382	15	a.	a.	PROPN
brj-24265	382	16	(	(	PUNCT
brj-24265	382	17	2002	2002	NUM
brj-24265	382	18	)	)	PUNCT
brj-24265	382	19	.	.	PUNCT
brj-24265	383	1	handbook	handbook	NOUN
brj-24265	383	2	for	for	ADP
brj-24265	383	3	pulp	pulp	NOUN
brj-24265	383	4	and	and	CCONJ
brj-24265	383	5	paper	paper	NOUN
brj-24265	383	6	technologists	technologist	NOUN
brj-24265	383	7	,	,	PUNCT
brj-24265	383	8	a.	a.	NOUN
brj-24265	383	9	wilde	wilde	PROPN
brj-24265	383	10	,	,	PUNCT
brj-24265	383	11	vancouver	vancouver	PROPN
brj-24265	383	12	,	,	PUNCT
brj-24265	383	13	canada	canada	PROPN
brj-24265	383	14	,	,	PUNCT
brj-24265	383	15	227	227	NUM
brj-24265	383	16	-	-	SYM
brj-24265	383	17	262	262	NUM
brj-24265	383	18	.	.	PUNCT
brj-24265	384	1	spence	spence	PROPN
brj-24265	384	2	,	,	PUNCT
brj-24265	384	3	l.	l.	PROPN
brj-24265	384	4	d.	d.	PROPN
brj-24265	384	5	,	,	PUNCT
brj-24265	384	6	francis	francis	PROPN
brj-24265	384	7	,	,	PUNCT
brj-24265	384	8	r.	r.	PROPN
brj-24265	384	9	b.	b.	PROPN
brj-24265	384	10	,	,	PUNCT
brj-24265	384	11	and	and	CCONJ
brj-24265	384	12	tinggi	tinggi	PROPN
brj-24265	384	13	,	,	PUNCT
brj-24265	384	14	u.	u.	PROPN
brj-24265	384	15	j.	j.	PROPN
brj-24265	384	16	(	(	PUNCT
brj-24265	384	17	2002	2002	NUM
brj-24265	384	18	)	)	PUNCT
brj-24265	384	19	.	.	PUNCT
brj-24265	385	1	“	"	PUNCT
brj-24265	385	2	comparison	comparison	NOUN
brj-24265	385	3	of	of	ADP
brj-24265	385	4	the	the	DET
brj-24265	385	5	elemental	elemental	ADJ
brj-24265	385	6	composition	composition	NOUN
brj-24265	385	7	of	of	ADP
brj-24265	385	8	office	office	NOUN
brj-24265	385	9	document	document	NOUN
brj-24265	385	10	paper	paper	NOUN
brj-24265	385	11	:	:	PUNCT
brj-24265	385	12	evidence	evidence	NOUN
brj-24265	385	13	in	in	ADP
brj-24265	385	14	a	a	DET
brj-24265	385	15	homicide	homicide	NOUN
brj-24265	385	16	case	case	NOUN
brj-24265	385	17	,	,	PUNCT
brj-24265	385	18	”	"	PUNCT
brj-24265	385	19	journal	journal	NOUN
brj-24265	385	20	of	of	ADP
brj-24265	385	21	forensic	forensic	ADJ
brj-24265	385	22	sciences	science	NOUN
brj-24265	385	23	47(3	47(3	NUM
brj-24265	385	24	)	)	PUNCT
brj-24265	385	25	,	,	PUNCT
brj-24265	385	26	648	648	NUM
brj-24265	385	27	-	-	SYM
brj-24265	385	28	651	651	NUM
brj-24265	385	29	.	.	PUNCT
brj-24265	386	1	article	article	NOUN
brj-24265	386	2	submitted	submit	VERB
brj-24265	386	3	:	:	PUNCT
brj-24265	386	4	december	december	PROPN
brj-24265	386	5	8	8	NUM
brj-24265	386	6	,	,	PUNCT
brj-24265	386	7	2024	2024	NUM
brj-24265	386	8	;	;	PUNCT
brj-24265	386	9	peer	peer	NOUN
brj-24265	386	10	review	review	NOUN
brj-24265	386	11	completed	complete	VERB
brj-24265	386	12	:	:	PUNCT
brj-24265	386	13	april	april	PROPN
brj-24265	386	14	12	12	NUM
brj-24265	386	15	,	,	PUNCT
brj-24265	386	16	2025	2025	NUM
brj-24265	386	17	;	;	PUNCT
brj-24265	386	18	revisions	revision	NOUN
brj-24265	386	19	accepted	accept	VERB
brj-24265	386	20	:	:	PUNCT
brj-24265	386	21	august	august	PROPN
brj-24265	386	22	12	12	NUM
brj-24265	386	23	,	,	PUNCT
brj-24265	386	24	2025	2025	NUM
brj-24265	386	25	;	;	PUNCT
brj-24265	386	26	published	publish	VERB
brj-24265	386	27	:	:	PUNCT
brj-24265	386	28	august	august	PROPN
brj-24265	386	29	28	28	NUM
brj-24265	386	30	.	.	PUNCT
brj-24265	387	1	2025	2025	NUM
brj-24265	387	2	.	.	PUNCT
brj-24265	388	1	doi	doi	NOUN
brj-24265	388	2	:	:	PUNCT
brj-24265	388	3	10.15376	10.15376	NUM
brj-24265	388	4	/	/	SYM
brj-24265	388	5	biores.20.4.9208	biores.20.4.9208	NOUN
brj-24265	388	6	-	-	PUNCT
brj-24265	388	7	9225	9225	NUM