id	sid	tid	token	lemma	pos
cana-4451	1	1	communications	communication	NOUN
cana-4451	1	2	on	on	ADP
cana-4451	1	3	applied	apply	VERB
cana-4451	1	4	nonlinear	nonlinear	ADJ
cana-4451	1	5	analysis	analysis	NOUN
cana-4451	1	6	issn	issn	NOUN
cana-4451	1	7	:	:	PUNCT
cana-4451	1	8	1074	1074	NUM
cana-4451	1	9	-	-	PUNCT
cana-4451	1	10	133x	133x	NUM
cana-4451	1	11	vol	vol	NOUN
cana-4451	1	12	32	32	NUM
cana-4451	1	13	no	no	NOUN
cana-4451	1	14	.	.	PUNCT
cana-4451	2	1	9s	9s	NUM
cana-4451	2	2	(	(	PUNCT
cana-4451	2	3	2025	2025	NUM
cana-4451	2	4	)	)	PUNCT
cana-4451	2	5	2100	2100	NUM
cana-4451	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4451	2	7	revolutionizing	revolutionize	VERB
cana-4451	2	8	skull	skull	NOUN
cana-4451	2	9	classification	classification	NOUN
cana-4451	2	10	:	:	PUNCT
cana-4451	2	11	leveraging	leverage	VERB
cana-4451	2	12	digital	digital	ADJ
cana-4451	2	13	forensics	forensic	NOUN
cana-4451	2	14	and	and	CCONJ
cana-4451	2	15	deep	deep	ADJ
cana-4451	2	16	learning	learning	NOUN
cana-4451	2	17	in	in	ADP
cana-4451	2	18	physical	physical	ADJ
cana-4451	2	19	anthropology	anthropology	NOUN
cana-4451	2	20	shashikiran	shashikiran	PROPN
cana-4451	2	21	s1	s1	PROPN
cana-4451	2	22	,	,	PUNCT
cana-4451	2	23	rajani	rajani	PROPN
cana-4451	2	24	n2	n2	PROPN
cana-4451	2	25	,	,	PUNCT
cana-4451	2	26	rashmi	rashmi	PROPN
cana-4451	2	27	nagaraj3	nagaraj3	PROPN
cana-4451	2	28	,	,	PUNCT
cana-4451	2	29	srinivas	srinivas	PROPN
cana-4451	2	30	babu	babu	PROPN
cana-4451	2	31	n4	n4	PROPN
cana-4451	2	32	,	,	PUNCT
cana-4451	2	33	c	c	PROPN
cana-4451	2	34	anjan	anjan	PROPN
cana-4451	2	35	reddy5	reddy5	PROPN
cana-4451	2	36	,	,	PUNCT
cana-4451	2	37	c	c	PROPN
cana-4451	2	38	g	g	PROPN
cana-4451	2	39	prashanth	prashanth	PROPN
cana-4451	2	40	reddy6	reddy6	PROPN
cana-4451	2	41	1,4,5,6	1,4,5,6	NUM
cana-4451	2	42	department	department	NOUN
cana-4451	2	43	of	of	ADP
cana-4451	2	44	electronics	electronic	NOUN
cana-4451	2	45	and	and	CCONJ
cana-4451	2	46	communication	communication	NOUN
cana-4451	2	47	engineering	engineering	NOUN
cana-4451	2	48	,	,	PUNCT
cana-4451	2	49	new	new	ADJ
cana-4451	2	50	horizon	horizon	PROPN
cana-4451	2	51	college	college	PROPN
cana-4451	2	52	of	of	ADP
cana-4451	2	53	engineering	engineering	PROPN
cana-4451	2	54	,	,	PUNCT
cana-4451	2	55	bangalore	bangalore	PROPN
cana-4451	2	56	,	,	PUNCT
cana-4451	2	57	india	india	PROPN
cana-4451	2	58	1shashikiran067@gmail.com	1shashikiran067@gmail.com	PROPN
cana-4451	2	59	,	,	PUNCT
cana-4451	2	60	4sribabu6887@gmail.com	4sribabu6887@gmail.com	NUM
cana-4451	2	61	,	,	PUNCT
cana-4451	2	62	5prashanthreddynani@gmail.com	5prashanthreddynani@gmail.com	NUM
cana-4451	2	63	,	,	PUNCT
cana-4451	2	64	6c.anjan4610@gmail.com	6c.anjan4610@gmail.com	NUM
cana-4451	2	65	2	2	NUM
cana-4451	2	66	department	department	NOUN
cana-4451	2	67	of	of	ADP
cana-4451	2	68	electronics	electronic	NOUN
cana-4451	2	69	and	and	CCONJ
cana-4451	2	70	communication	communication	NOUN
cana-4451	2	71	engineering	engineering	NOUN
cana-4451	2	72	,	,	PUNCT
cana-4451	2	73	nitte	nitte	PROPN
cana-4451	2	74	meenakshi	meenakshi	PROPN
cana-4451	2	75	institute	institute	PROPN
cana-4451	2	76	of	of	ADP
cana-4451	2	77	technology	technology	PROPN
cana-4451	2	78	,	,	PUNCT
cana-4451	2	79	bangalore	bangalore	PROPN
cana-4451	2	80	,	,	PUNCT
cana-4451	2	81	india	india	PROPN
cana-4451	2	82	2rajani.n@nmit.ac.in	2rajani.n@nmit.ac.in	NUM
cana-4451	3	1	3department	3department	NUM
cana-4451	3	2	of	of	ADP
cana-4451	3	3	computer	computer	NOUN
cana-4451	3	4	science	science	NOUN
cana-4451	3	5	engineering	engineering	NOUN
cana-4451	3	6	,	,	PUNCT
cana-4451	3	7	shridevi	shridevi	PROPN
cana-4451	3	8	institute	institute	PROPN
cana-4451	3	9	of	of	ADP
cana-4451	3	10	engineering	engineering	NOUN
cana-4451	3	11	and	and	CCONJ
cana-4451	3	12	technology	technology	NOUN
cana-4451	3	13	,	,	PUNCT
cana-4451	3	14	tumkur	tumkur	PROPN
cana-4451	3	15	,	,	PUNCT
cana-4451	3	16	india	india	PROPN
cana-4451	3	17	3rashmiteju1912@gmail.com	3rashmiteju1912@gmail.com	NUM
cana-4451	3	18	article	article	NOUN
cana-4451	3	19	history	history	NOUN
cana-4451	3	20	:	:	PUNCT
cana-4451	3	21	received	receive	VERB
cana-4451	3	22	:	:	PUNCT
cana-4451	3	23	12	12	NUM
cana-4451	3	24	-	-	SYM
cana-4451	3	25	01	01	NUM
cana-4451	3	26	-	-	PUNCT
cana-4451	3	27	2025	2025	NUM
cana-4451	3	28	revised	revise	VERB
cana-4451	3	29	:	:	PUNCT
cana-4451	3	30	15	15	NUM
cana-4451	3	31	-	-	NUM
cana-4451	3	32	02	02	NUM
cana-4451	3	33	-	-	PUNCT
cana-4451	3	34	2025	2025	NUM
cana-4451	3	35	accepted	accept	VERB
cana-4451	3	36	:	:	PUNCT
cana-4451	3	37	01	01	NUM
cana-4451	3	38	-	-	SYM
cana-4451	3	39	03	03	NUM
cana-4451	3	40	-	-	PUNCT
cana-4451	3	41	2025	2025	NUM
cana-4451	3	42	abstract	abstract	NOUN
cana-4451	3	43	:	:	PUNCT
cana-4451	3	44	the	the	DET
cana-4451	3	45	human	human	PROPN
cana-4451	3	46	skull	skull	NOUN
cana-4451	3	47	's	's	PART
cana-4451	3	48	dimensions	dimension	NOUN
cana-4451	3	49	,	,	PUNCT
cana-4451	3	50	shape	shape	NOUN
cana-4451	3	51	,	,	PUNCT
cana-4451	3	52	and	and	CCONJ
cana-4451	3	53	physical	physical	ADJ
cana-4451	3	54	characteristics	characteristic	NOUN
cana-4451	3	55	differ	differ	VERB
cana-4451	3	56	from	from	ADP
cana-4451	3	57	person	person	NOUN
cana-4451	3	58	to	to	ADP
cana-4451	3	59	person	person	NOUN
cana-4451	3	60	.	.	PUNCT
cana-4451	4	1	skull	skull	NOUN
cana-4451	4	2	collections	collection	NOUN
cana-4451	4	3	need	need	VERB
cana-4451	4	4	to	to	PART
cana-4451	4	5	be	be	AUX
cana-4451	4	6	handled	handle	VERB
cana-4451	4	7	carefully	carefully	ADV
cana-4451	4	8	if	if	SCONJ
cana-4451	4	9	physical	physical	ADJ
cana-4451	4	10	anthropology	anthropology	NOUN
cana-4451	4	11	collections	collection	NOUN
cana-4451	4	12	are	be	AUX
cana-4451	4	13	to	to	PART
cana-4451	4	14	be	be	AUX
cana-4451	4	15	preserved	preserve	VERB
cana-4451	4	16	and	and	CCONJ
cana-4451	4	17	kept	keep	VERB
cana-4451	4	18	affordably	affordably	ADV
cana-4451	4	19	.	.	PUNCT
cana-4451	5	1	for	for	ADP
cana-4451	5	2	example	example	NOUN
cana-4451	5	3	,	,	PUNCT
cana-4451	5	4	the	the	DET
cana-4451	5	5	authenticity	authenticity	NOUN
cana-4451	5	6	of	of	ADP
cana-4451	5	7	collections	collection	NOUN
cana-4451	5	8	may	may	AUX
cana-4451	5	9	be	be	AUX
cana-4451	5	10	jeopardized	jeopardize	VERB
cana-4451	5	11	if	if	SCONJ
cana-4451	5	12	skulls	skull	NOUN
cana-4451	5	13	are	be	AUX
cana-4451	5	14	labelled	label	VERB
cana-4451	5	15	with	with	ADP
cana-4451	5	16	printed	print	VERB
cana-4451	5	17	material	material	NOUN
cana-4451	5	18	or	or	CCONJ
cana-4451	5	19	given	give	VERB
cana-4451	5	20	erroneous	erroneous	ADJ
cana-4451	5	21	names	name	NOUN
cana-4451	5	22	.	.	PUNCT
cana-4451	6	1	as	as	SCONJ
cana-4451	6	2	manual	manual	ADJ
cana-4451	6	3	skull	skull	NOUN
cana-4451	6	4	recognition	recognition	NOUN
cana-4451	6	5	is	be	AUX
cana-4451	6	6	a	a	DET
cana-4451	6	7	tedious	tedious	ADJ
cana-4451	6	8	process	process	NOUN
cana-4451	6	9	,	,	PUNCT
cana-4451	6	10	we	we	PRON
cana-4451	6	11	propose	propose	VERB
cana-4451	6	12	a	a	DET
cana-4451	6	13	deep	deep	ADJ
cana-4451	6	14	learning	learning	NOUN
cana-4451	6	15	(	(	PUNCT
cana-4451	6	16	dl	dl	NOUN
cana-4451	6	17	)	)	PUNCT
cana-4451	6	18	approach	approach	NOUN
cana-4451	6	19	and	and	CCONJ
cana-4451	6	20	various	various	ADJ
cana-4451	6	21	feature	feature	NOUN
cana-4451	6	22	extraction	extraction	NOUN
cana-4451	6	23	techniques(fractal	techniques(fractal	ADJ
cana-4451	6	24	features	feature	NOUN
cana-4451	6	25	)	)	PUNCT
cana-4451	6	26	and	and	CCONJ
cana-4451	6	27	feature	feature	NOUN
cana-4451	6	28	combinations	combination	NOUN
cana-4451	6	29	,	,	PUNCT
cana-4451	6	30	to	to	PART
cana-4451	6	31	classify	classify	VERB
cana-4451	6	32	human	human	ADJ
cana-4451	6	33	skulls	skull	NOUN
cana-4451	6	34	automatically	automatically	ADV
cana-4451	6	35	.	.	PUNCT
cana-4451	7	1	every	every	DET
cana-4451	7	2	existing	exist	VERB
cana-4451	7	3	facial	facial	ADJ
cana-4451	7	4	bone	bone	NOUN
cana-4451	7	5	has	have	VERB
cana-4451	7	6	unique	unique	ADJ
cana-4451	7	7	properties	property	NOUN
cana-4451	7	8	that	that	PRON
cana-4451	7	9	are	be	AUX
cana-4451	7	10	important	important	ADJ
cana-4451	7	11	to	to	ADP
cana-4451	7	12	the	the	DET
cana-4451	7	13	skull	skull	NOUN
cana-4451	7	14	's	's	PART
cana-4451	7	15	physical	physical	ADJ
cana-4451	7	16	composition	composition	NOUN
cana-4451	7	17	and	and	CCONJ
cana-4451	7	18	can	can	AUX
cana-4451	7	19	be	be	AUX
cana-4451	7	20	utilized	utilize	VERB
cana-4451	7	21	to	to	PART
cana-4451	7	22	identify	identify	VERB
cana-4451	7	23	an	an	DET
cana-4451	7	24	individual	individual	NOUN
cana-4451	7	25	.	.	PUNCT
cana-4451	8	1	consequently	consequently	ADV
cana-4451	8	2	,	,	PUNCT
cana-4451	8	3	we	we	PRON
cana-4451	8	4	created	create	VERB
cana-4451	8	5	a	a	DET
cana-4451	8	6	convolutional	convolutional	ADJ
cana-4451	8	7	neural	neural	ADJ
cana-4451	8	8	network	network	NOUN
cana-4451	8	9	(	(	PUNCT
cana-4451	8	10	cnn)-based	cnn)-base	VERB
cana-4451	8	11	system	system	NOUN
cana-4451	8	12	for	for	ADP
cana-4451	8	13	automatically	automatically	ADV
cana-4451	8	14	classifying	classify	VERB
cana-4451	8	15	human	human	ADJ
cana-4451	8	16	skulls	skull	NOUN
cana-4451	8	17	that	that	PRON
cana-4451	8	18	reliably	reliably	ADV
cana-4451	8	19	distinguishes	distinguish	VERB
cana-4451	8	20	them	they	PRON
cana-4451	8	21	more	more	ADV
cana-4451	8	22	accurately	accurately	ADV
cana-4451	8	23	than	than	ADP
cana-4451	8	24	conventional	conventional	ADJ
cana-4451	8	25	classification	classification	NOUN
cana-4451	8	26	methods	method	NOUN
cana-4451	8	27	.	.	PUNCT
cana-4451	9	1	our	our	PRON
cana-4451	9	2	proposed	propose	VERB
cana-4451	9	3	technique	technique	NOUN
cana-4451	9	4	achieved	achieve	VERB
cana-4451	9	5	99.98	99.98	NUM
cana-4451	9	6	%	%	NOUN
cana-4451	9	7	classification	classification	NOUN
cana-4451	9	8	accuracy	accuracy	NOUN
cana-4451	9	9	with	with	ADP
cana-4451	9	10	a	a	DET
cana-4451	9	11	loss	loss	NOUN
cana-4451	9	12	of	of	ADP
cana-4451	9	13	0.01	0.01	NUM
cana-4451	9	14	%	%	NOUN
cana-4451	9	15	for	for	ADP
cana-4451	9	16	skull	skull	NOUN
cana-4451	9	17	classification	classification	NOUN
cana-4451	9	18	.	.	PUNCT
cana-4451	10	1	our	our	PRON
cana-4451	10	2	study	study	NOUN
cana-4451	10	3	contributes	contribute	VERB
cana-4451	10	4	to	to	ADP
cana-4451	10	5	the	the	DET
cana-4451	10	6	development	development	NOUN
cana-4451	10	7	of	of	ADP
cana-4451	10	8	an	an	DET
cana-4451	10	9	autonomous	autonomous	ADJ
cana-4451	10	10	system	system	NOUN
cana-4451	10	11	by	by	ADP
cana-4451	10	12	improving	improve	VERB
cana-4451	10	13	the	the	DET
cana-4451	10	14	collection	collection	NOUN
cana-4451	10	15	of	of	ADP
cana-4451	10	16	skull	skull	NOUN
cana-4451	10	17	pictures	picture	NOUN
cana-4451	10	18	through	through	ADP
cana-4451	10	19	image	image	NOUN
cana-4451	10	20	augmentation	augmentation	NOUN
cana-4451	10	21	using	use	VERB
cana-4451	10	22	preprocessing	preprocesse	VERB
cana-4451	10	23	approaches	approach	NOUN
cana-4451	10	24	for	for	ADP
cana-4451	10	25	classification	classification	NOUN
cana-4451	10	26	.	.	PUNCT
cana-4451	11	1	archaeologists	archaeologist	NOUN
cana-4451	11	2	,	,	PUNCT
cana-4451	11	3	anthropologists	anthropologist	NOUN
cana-4451	11	4	,	,	PUNCT
cana-4451	11	5	and	and	CCONJ
cana-4451	11	6	forensic	forensic	ADJ
cana-4451	11	7	scientists	scientist	NOUN
cana-4451	11	8	may	may	AUX
cana-4451	11	9	manage	manage	VERB
cana-4451	11	10	,	,	PUNCT
cana-4451	11	11	analyze	analyze	VERB
cana-4451	11	12	,	,	PUNCT
cana-4451	11	13	and	and	CCONJ
cana-4451	11	14	preserve	preserve	VERB
cana-4451	11	15	anthropological	anthropological	ADJ
cana-4451	11	16	collections	collection	NOUN
cana-4451	11	17	more	more	ADV
cana-4451	11	18	effectively	effectively	ADV
cana-4451	11	19	with	with	ADP
cana-4451	11	20	the	the	DET
cana-4451	11	21	help	help	NOUN
cana-4451	11	22	of	of	ADP
cana-4451	11	23	this	this	DET
cana-4451	11	24	creative	creative	ADJ
cana-4451	11	25	framework	framework	NOUN
cana-4451	11	26	.	.	PUNCT
cana-4451	12	1	it	it	PRON
cana-4451	12	2	can	can	AUX
cana-4451	12	3	be	be	AUX
cana-4451	12	4	used	use	VERB
cana-4451	12	5	in	in	ADP
cana-4451	12	6	archaeological	archaeological	ADJ
cana-4451	12	7	research	research	NOUN
cana-4451	12	8	,	,	PUNCT
cana-4451	12	9	forensic	forensic	ADJ
cana-4451	12	10	investigations	investigation	NOUN
cana-4451	12	11	,	,	PUNCT
cana-4451	12	12	museum	museum	NOUN
cana-4451	12	13	collections	collection	NOUN
cana-4451	12	14	,	,	PUNCT
cana-4451	12	15	and	and	CCONJ
cana-4451	12	16	medical	medical	ADJ
cana-4451	12	17	studies	study	NOUN
cana-4451	12	18	.	.	PUNCT
cana-4451	13	1	the	the	DET
cana-4451	13	2	results	result	NOUN
cana-4451	13	3	highlight	highlight	VERB
cana-4451	13	4	the	the	DET
cana-4451	13	5	revolutionary	revolutionary	ADJ
cana-4451	13	6	possibilities	possibility	NOUN
cana-4451	13	7	of	of	ADP
cana-4451	13	8	incorporating	incorporate	VERB
cana-4451	13	9	digital	digital	ADJ
cana-4451	13	10	forensics	forensic	NOUN
cana-4451	13	11	and	and	CCONJ
cana-4451	13	12	machine	machine	NOUN
cana-4451	13	13	learning	learn	VERB
cana-4451	13	14	into	into	ADP
cana-4451	13	15	anthropological	anthropological	ADJ
cana-4451	13	16	research	research	NOUN
cana-4451	13	17	,	,	PUNCT
cana-4451	13	18	providing	provide	VERB
cana-4451	13	19	a	a	DET
cana-4451	13	20	powerful	powerful	ADJ
cana-4451	13	21	instrument	instrument	NOUN
cana-4451	13	22	for	for	ADP
cana-4451	13	23	expanding	expand	VERB
cana-4451	13	24	our	our	PRON
cana-4451	13	25	knowledge	knowledge	NOUN
cana-4451	13	26	of	of	ADP
cana-4451	13	27	human	human	ADJ
cana-4451	13	28	evolution	evolution	NOUN
cana-4451	13	29	and	and	CCONJ
cana-4451	13	30	cultural	cultural	ADJ
cana-4451	13	31	legacy	legacy	NOUN
cana-4451	13	32	.	.	PUNCT
cana-4451	14	1	keywords	keyword	NOUN
cana-4451	14	2	:	:	PUNCT
cana-4451	14	3	image	image	NOUN
cana-4451	14	4	augmentation	augmentation	NOUN
cana-4451	14	5	,	,	PUNCT
cana-4451	14	6	deep	deep	ADJ
cana-4451	14	7	learning	learning	NOUN
cana-4451	14	8	,	,	PUNCT
cana-4451	14	9	accuracy	accuracy	NOUN
cana-4451	14	10	,	,	PUNCT
cana-4451	14	11	fractal	fractal	ADJ
cana-4451	14	12	features	feature	NOUN
cana-4451	14	13	,	,	PUNCT
cana-4451	14	14	cnn	cnn	PROPN
cana-4451	14	15	1	1	NUM
cana-4451	14	16	.	.	PUNCT
cana-4451	15	1	introduction	introduction	NOUN
cana-4451	15	2	digital	digital	ADJ
cana-4451	15	3	forensics	forensic	NOUN
cana-4451	15	4	researchers	researcher	NOUN
cana-4451	15	5	frequently	frequently	ADV
cana-4451	15	6	work	work	VERB
cana-4451	15	7	on	on	ADP
cana-4451	15	8	a	a	DET
cana-4451	15	9	number	number	NOUN
cana-4451	15	10	of	of	ADP
cana-4451	15	11	tasks	task	NOUN
cana-4451	15	12	,	,	PUNCT
cana-4451	15	13	such	such	ADJ
cana-4451	15	14	as	as	ADP
cana-4451	15	15	gathering	gathering	NOUN
cana-4451	15	16	,	,	PUNCT
cana-4451	15	17	looking	look	VERB
cana-4451	15	18	over	over	ADV
cana-4451	15	19	,	,	PUNCT
cana-4451	15	20	recognizing	recognize	VERB
cana-4451	15	21	,	,	PUNCT
cana-4451	15	22	and	and	CCONJ
cana-4451	15	23	evaluating	evaluate	VERB
cana-4451	15	24	the	the	DET
cana-4451	15	25	digital	digital	ADJ
cana-4451	15	26	artifacts	artifact	NOUN
cana-4451	15	27	needed	need	VERB
cana-4451	15	28	to	to	PART
cana-4451	15	29	gather	gather	VERB
cana-4451	15	30	proof	proof	NOUN
cana-4451	15	31	of	of	ADP
cana-4451	15	32	the	the	DET
cana-4451	15	33	legitimacy	legitimacy	NOUN
cana-4451	15	34	of	of	ADP
cana-4451	15	35	physical	physical	ADJ
cana-4451	15	36	objects	object	NOUN
cana-4451	15	37	[	[	X
cana-4451	15	38	1	1	NUM
cana-4451	15	39	]	]	PUNCT
cana-4451	15	40	.	.	PUNCT
cana-4451	16	1	the	the	DET
cana-4451	16	2	administration	administration	PROPN
cana-4451	16	3	of	of	ADP
cana-4451	16	4	skull	skull	NOUN
cana-4451	16	5	collections	collection	NOUN
cana-4451	16	6	in	in	ADP
cana-4451	16	7	museums	museum	NOUN
cana-4451	16	8	is	be	AUX
cana-4451	16	9	a	a	DET
cana-4451	16	10	common	common	ADJ
cana-4451	16	11	example	example	NOUN
cana-4451	16	12	that	that	PRON
cana-4451	16	13	will	will	AUX
cana-4451	16	14	help	help	VERB
cana-4451	16	15	with	with	ADP
cana-4451	16	16	future	future	ADJ
cana-4451	16	17	study	study	NOUN
cana-4451	16	18	and	and	CCONJ
cana-4451	16	19	instruction	instruction	NOUN
cana-4451	16	20	.	.	PUNCT
cana-4451	17	1	a	a	DET
cana-4451	17	2	key	key	ADJ
cana-4451	17	3	element	element	NOUN
cana-4451	17	4	of	of	ADP
cana-4451	17	5	managing	manage	VERB
cana-4451	17	6	a	a	DET
cana-4451	17	7	skull	skull	NOUN
cana-4451	17	8	collection	collection	NOUN
cana-4451	17	9	is	be	AUX
cana-4451	17	10	a	a	DET
cana-4451	17	11	method	method	NOUN
cana-4451	17	12	for	for	ADP
cana-4451	17	13	cataloging	catalog	VERB
cana-4451	17	14	and	and	CCONJ
cana-4451	17	15	retrieving	retrieve	VERB
cana-4451	17	16	skulls	skull	NOUN
cana-4451	17	17	.	.	PUNCT
cana-4451	18	1	skulls	skull	NOUN
cana-4451	18	2	in	in	ADP
cana-4451	18	3	this	this	DET
cana-4451	18	4	system	system	NOUN
cana-4451	18	5	that	that	PRON
cana-4451	18	6	have	have	AUX
cana-4451	18	7	lost	lose	VERB
cana-4451	18	8	their	their	PRON
cana-4451	18	9	labels	label	NOUN
cana-4451	18	10	can	can	AUX
cana-4451	18	11	be	be	AUX
cana-4451	18	12	identified	identify	VERB
cana-4451	18	13	using	use	VERB
cana-4451	18	14	mailto:1shashikiran067@gmail.com	mailto:1shashikiran067@gmail.com	X
cana-4451	19	1	mailto:4sribabu6887@gmail.com	mailto:4sribabu6887@gmail.com	X
cana-4451	19	2	mailto:5prashanthreddynani@gmail.com	mailto:5prashanthreddynani@gmail.com	X
cana-4451	19	3	mailto:6c.anjan4610@gmail.com	mailto:6c.anjan4610@gmail.com	X
cana-4451	19	4	communications	communication	NOUN
cana-4451	19	5	on	on	ADP
cana-4451	19	6	applied	apply	VERB
cana-4451	19	7	nonlinear	nonlinear	ADJ
cana-4451	19	8	analysis	analysis	NOUN
cana-4451	19	9	issn	issn	NOUN
cana-4451	19	10	:	:	PUNCT
cana-4451	19	11	1074	1074	NUM
cana-4451	19	12	-	-	PUNCT
cana-4451	19	13	133x	133x	NUM
cana-4451	19	14	vol	vol	NOUN
cana-4451	19	15	32	32	NUM
cana-4451	19	16	no	no	NOUN
cana-4451	19	17	.	.	PUNCT
cana-4451	20	1	9s	9s	NUM
cana-4451	20	2	(	(	PUNCT
cana-4451	20	3	2025	2025	NUM
cana-4451	20	4	)	)	PUNCT
cana-4451	20	5	2101	2101	NUM
cana-4451	20	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4451	21	1	an	an	DET
cana-4451	21	2	investigative	investigative	ADJ
cana-4451	21	3	procedure	procedure	NOUN
cana-4451	21	4	.	.	PUNCT
cana-4451	22	1	as	as	ADP
cana-4451	22	2	part	part	NOUN
cana-4451	22	3	of	of	ADP
cana-4451	22	4	this	this	DET
cana-4451	22	5	procedure	procedure	NOUN
cana-4451	22	6	,	,	PUNCT
cana-4451	22	7	each	each	DET
cana-4451	22	8	skull	skull	NOUN
cana-4451	22	9	is	be	AUX
cana-4451	22	10	given	give	VERB
cana-4451	22	11	a	a	DET
cana-4451	22	12	call	call	NOUN
cana-4451	22	13	number	number	NOUN
cana-4451	22	14	,	,	PUNCT
cana-4451	22	15	which	which	PRON
cana-4451	22	16	serves	serve	VERB
cana-4451	22	17	as	as	ADP
cana-4451	22	18	a	a	DET
cana-4451	22	19	label	label	NOUN
cana-4451	22	20	for	for	ADP
cana-4451	22	21	the	the	DET
cana-4451	22	22	collection	collection	NOUN
cana-4451	22	23	.	.	PUNCT
cana-4451	23	1	this	this	PRON
cana-4451	23	2	makes	make	VERB
cana-4451	23	3	it	it	PRON
cana-4451	23	4	easier	easy	ADJ
cana-4451	23	5	to	to	PART
cana-4451	23	6	identify	identify	VERB
cana-4451	23	7	the	the	DET
cana-4451	23	8	skulls	skull	NOUN
cana-4451	23	9	and	and	CCONJ
cana-4451	23	10	guarantees	guarantee	NOUN
cana-4451	23	11	that	that	SCONJ
cana-4451	23	12	they	they	PRON
cana-4451	23	13	are	be	AUX
cana-4451	23	14	part	part	NOUN
cana-4451	23	15	of	of	ADP
cana-4451	23	16	a	a	DET
cana-4451	23	17	certain	certain	ADJ
cana-4451	23	18	collection	collection	NOUN
cana-4451	23	19	.	.	PUNCT
cana-4451	24	1	for	for	SCONJ
cana-4451	24	2	existing	exist	VERB
cana-4451	24	3	collections	collection	NOUN
cana-4451	24	4	to	to	PART
cana-4451	24	5	be	be	AUX
cana-4451	24	6	properly	properly	ADV
cana-4451	24	7	documented	document	VERB
cana-4451	24	8	,	,	PUNCT
cana-4451	24	9	developed	develop	VERB
cana-4451	24	10	,	,	PUNCT
cana-4451	24	11	maintained	maintain	VERB
cana-4451	24	12	,	,	PUNCT
cana-4451	24	13	and	and	CCONJ
cana-4451	24	14	enhanced	enhance	VERB
cana-4451	24	15	,	,	PUNCT
cana-4451	24	16	as	as	ADV
cana-4451	24	17	well	well	ADV
cana-4451	24	18	as	as	ADP
cana-4451	24	19	made	make	VERB
cana-4451	24	20	accessible	accessible	ADJ
cana-4451	24	21	to	to	ADP
cana-4451	24	22	curators	curator	NOUN
cana-4451	24	23	who	who	PRON
cana-4451	24	24	wish	wish	VERB
cana-4451	24	25	to	to	PART
cana-4451	24	26	use	use	VERB
cana-4451	24	27	them	they	PRON
cana-4451	24	28	in	in	ADP
cana-4451	24	29	accordance	accordance	NOUN
cana-4451	24	30	with	with	ADP
cana-4451	24	31	classification	classification	NOUN
cana-4451	24	32	criteria	criterion	NOUN
cana-4451	24	33	,	,	PUNCT
cana-4451	24	34	this	this	PRON
cana-4451	24	35	is	be	AUX
cana-4451	24	36	equally	equally	ADV
cana-4451	24	37	crucial	crucial	ADJ
cana-4451	24	38	[	[	X
cana-4451	24	39	2	2	NUM
cana-4451	24	40	]	]	PUNCT
cana-4451	24	41	,	,	PUNCT
cana-4451	24	42	[	[	X
cana-4451	24	43	3	3	NUM
cana-4451	24	44	]	]	PUNCT
cana-4451	24	45	.	.	PUNCT
cana-4451	25	1	however	however	ADV
cana-4451	25	2	,	,	PUNCT
cana-4451	25	3	applying	apply	VERB
cana-4451	25	4	an	an	DET
cana-4451	25	5	alphanumeric	alphanumeric	ADJ
cana-4451	25	6	designation	designation	NOUN
cana-4451	25	7	to	to	ADP
cana-4451	25	8	skulls	skull	NOUN
cana-4451	25	9	using	use	VERB
cana-4451	25	10	ink	ink	NOUN
cana-4451	25	11	streaks	streak	NOUN
cana-4451	25	12	can	can	AUX
cana-4451	25	13	compromise	compromise	VERB
cana-4451	25	14	the	the	DET
cana-4451	25	15	skull	skull	NOUN
cana-4451	25	16	's	's	PART
cana-4451	25	17	validity	validity	NOUN
cana-4451	25	18	as	as	ADP
cana-4451	25	19	a	a	DET
cana-4451	25	20	study	study	NOUN
cana-4451	25	21	tool	tool	NOUN
cana-4451	25	22	.	.	PUNCT
cana-4451	26	1	therefore	therefore	ADV
cana-4451	26	2	,	,	PUNCT
cana-4451	26	3	managing	manage	VERB
cana-4451	26	4	a	a	DET
cana-4451	26	5	skull	skull	NOUN
cana-4451	26	6	collection	collection	NOUN
cana-4451	26	7	requires	require	VERB
cana-4451	26	8	a	a	DET
cana-4451	26	9	specific	specific	ADJ
cana-4451	26	10	strategy	strategy	NOUN
cana-4451	26	11	to	to	PART
cana-4451	26	12	preserve	preserve	VERB
cana-4451	26	13	the	the	DET
cana-4451	26	14	collection	collection	NOUN
cana-4451	26	15	's	's	PART
cana-4451	26	16	authenticity	authenticity	NOUN
cana-4451	26	17	and	and	CCONJ
cana-4451	26	18	prevent	prevent	VERB
cana-4451	26	19	harm	harm	NOUN
cana-4451	26	20	through	through	ADP
cana-4451	26	21	the	the	DET
cana-4451	26	22	usage	usage	NOUN
cana-4451	26	23	of	of	ADP
cana-4451	26	24	chemicals	chemical	NOUN
cana-4451	26	25	.	.	PUNCT
cana-4451	27	1	another	another	DET
cana-4451	27	2	option	option	NOUN
cana-4451	27	3	is	be	AUX
cana-4451	27	4	to	to	PART
cana-4451	27	5	affix	affix	NOUN
cana-4451	27	6	stickers	sticker	NOUN
cana-4451	27	7	bearing	bear	VERB
cana-4451	27	8	the	the	DET
cana-4451	27	9	call	call	NOUN
cana-4451	27	10	number	number	NOUN
cana-4451	27	11	.	.	PUNCT
cana-4451	28	1	however	however	ADV
cana-4451	28	2	,	,	PUNCT
cana-4451	28	3	there	there	PRON
cana-4451	28	4	are	be	VERB
cana-4451	28	5	disadvantages	disadvantage	NOUN
cana-4451	28	6	to	to	ADP
cana-4451	28	7	this	this	DET
cana-4451	28	8	approach	approach	NOUN
cana-4451	28	9	as	as	ADV
cana-4451	28	10	well	well	ADV
cana-4451	28	11	because	because	SCONJ
cana-4451	28	12	stickers	sticker	NOUN
cana-4451	28	13	have	have	VERB
cana-4451	28	14	the	the	DET
cana-4451	28	15	potential	potential	NOUN
cana-4451	28	16	to	to	PART
cana-4451	28	17	come	come	VERB
cana-4451	28	18	free	free	ADJ
cana-4451	28	19	,	,	PUNCT
cana-4451	28	20	fall	fall	VERB
cana-4451	28	21	off	off	ADP
cana-4451	28	22	,	,	PUNCT
cana-4451	28	23	and	and	CCONJ
cana-4451	28	24	adhere	adhere	VERB
cana-4451	28	25	to	to	ADP
cana-4451	28	26	other	other	ADJ
cana-4451	28	27	skulls	skull	NOUN
cana-4451	28	28	.	.	PUNCT
cana-4451	29	1	[	[	X
cana-4451	29	2	4	4	NUM
cana-4451	29	3	]	]	PUNCT
cana-4451	29	4	,	,	PUNCT
cana-4451	29	5	[	[	X
cana-4451	29	6	5	5	NUM
cana-4451	29	7	]	]	PUNCT
cana-4451	29	8	.	.	PUNCT
cana-4451	30	1	as	as	ADP
cana-4451	30	2	a	a	DET
cana-4451	30	3	result	result	NOUN
cana-4451	30	4	,	,	PUNCT
cana-4451	30	5	the	the	DET
cana-4451	30	6	challenges	challenge	NOUN
cana-4451	30	7	of	of	ADP
cana-4451	30	8	collecting	collect	VERB
cana-4451	30	9	and	and	CCONJ
cana-4451	30	10	storing	store	VERB
cana-4451	30	11	skulls	skull	NOUN
cana-4451	30	12	make	make	VERB
cana-4451	30	13	it	it	PRON
cana-4451	30	14	impossible	impossible	ADJ
cana-4451	30	15	to	to	PART
cana-4451	30	16	expand	expand	VERB
cana-4451	30	17	the	the	DET
cana-4451	30	18	number	number	NOUN
cana-4451	30	19	of	of	ADP
cana-4451	30	20	new	new	ADJ
cana-4451	30	21	collections	collection	NOUN
cana-4451	30	22	.	.	PUNCT
cana-4451	31	1	skulls	skull	NOUN
cana-4451	31	2	that	that	PRON
cana-4451	31	3	are	be	AUX
cana-4451	31	4	not	not	PART
cana-4451	31	5	attached	attach	VERB
cana-4451	31	6	to	to	ADP
cana-4451	31	7	the	the	DET
cana-4451	31	8	mandible	mandible	NOUN
cana-4451	31	9	can	can	AUX
cana-4451	31	10	be	be	AUX
cana-4451	31	11	included	include	VERB
cana-4451	31	12	.	.	PUNCT
cana-4451	32	1	when	when	SCONJ
cana-4451	32	2	it	it	PRON
cana-4451	32	3	comes	come	VERB
cana-4451	32	4	to	to	ADP
cana-4451	32	5	human	human	ADJ
cana-4451	32	6	skulls	skull	NOUN
cana-4451	32	7	and	and	CCONJ
cana-4451	32	8	other	other	ADJ
cana-4451	32	9	bone	bone	NOUN
cana-4451	32	10	collections	collection	NOUN
cana-4451	32	11	,	,	PUNCT
cana-4451	32	12	labeling	labeling	NOUN
cana-4451	32	13	errors	error	NOUN
cana-4451	32	14	are	be	AUX
cana-4451	32	15	a	a	DET
cana-4451	32	16	significant	significant	ADJ
cana-4451	32	17	issue	issue	NOUN
cana-4451	32	18	.	.	PUNCT
cana-4451	33	1	at	at	ADP
cana-4451	33	2	an	an	DET
cana-4451	33	3	anthropological	anthropological	ADJ
cana-4451	33	4	forensics	forensic	NOUN
cana-4451	33	5	laboratory	laboratory	NOUN
cana-4451	33	6	are	be	AUX
cana-4451	33	7	ink	ink	NOUN
cana-4451	33	8	out	out	ADP
cana-4451	33	9	[	[	X
cana-4451	33	10	6	6	NUM
cana-4451	33	11	]	]	PUNCT
cana-4451	33	12	.	.	PUNCT
cana-4451	34	1	anthropologists	anthropologist	NOUN
cana-4451	34	2	and	and	CCONJ
cana-4451	34	3	other	other	ADJ
cana-4451	34	4	scholars	scholar	NOUN
cana-4451	34	5	are	be	AUX
cana-4451	34	6	currently	currently	ADV
cana-4451	34	7	only	only	ADV
cana-4451	34	8	able	able	ADJ
cana-4451	34	9	to	to	PART
cana-4451	34	10	classify	classify	VERB
cana-4451	34	11	human	human	ADJ
cana-4451	34	12	bones	bone	NOUN
cana-4451	34	13	using	use	VERB
cana-4451	34	14	digital	digital	ADJ
cana-4451	34	15	cameras	camera	NOUN
cana-4451	34	16	for	for	ADP
cana-4451	34	17	manual	manual	ADJ
cana-4451	34	18	comparison	comparison	NOUN
cana-4451	34	19	and	and	CCONJ
cana-4451	34	20	inquiry	inquiry	NOUN
cana-4451	34	21	.	.	PUNCT
cana-4451	35	1	while	while	SCONJ
cana-4451	35	2	some	some	DET
cana-4451	35	3	earlier	early	ADJ
cana-4451	35	4	research	research	NOUN
cana-4451	35	5	has	have	AUX
cana-4451	35	6	used	use	VERB
cana-4451	35	7	automated	automate	VERB
cana-4451	35	8	techniques	technique	NOUN
cana-4451	35	9	,	,	PUNCT
cana-4451	35	10	such	such	ADJ
cana-4451	35	11	machine	machine	NOUN
cana-4451	35	12	learning	learning	NOUN
cana-4451	35	13	,	,	PUNCT
cana-4451	35	14	to	to	PART
cana-4451	35	15	recognize	recognize	VERB
cana-4451	35	16	human	human	ADJ
cana-4451	35	17	skulls	skull	NOUN
cana-4451	35	18	,	,	PUNCT
cana-4451	35	19	most	most	ADJ
cana-4451	35	20	computerized	computerized	ADJ
cana-4451	35	21	tomography	tomography	NOUN
cana-4451	35	22	(	(	PUNCT
cana-4451	35	23	ct	ct	NOUN
cana-4451	35	24	)	)	PUNCT
cana-4451	35	25	scans	scan	NOUN
cana-4451	35	26	of	of	ADP
cana-4451	35	27	live	live	ADJ
cana-4451	35	28	subjects	subject	NOUN
cana-4451	35	29	were	be	AUX
cana-4451	35	30	used	use	VERB
cana-4451	35	31	to	to	PART
cana-4451	35	32	collect	collect	VERB
cana-4451	35	33	the	the	DET
cana-4451	35	34	samples	sample	NOUN
cana-4451	35	35	.	.	PUNCT
cana-4451	36	1	these	these	DET
cana-4451	36	2	samples	sample	NOUN
cana-4451	36	3	are	be	AUX
cana-4451	36	4	not	not	PART
cana-4451	36	5	very	very	ADV
cana-4451	36	6	relevant	relevant	ADJ
cana-4451	36	7	to	to	ADP
cana-4451	36	8	the	the	DET
cana-4451	36	9	examination	examination	NOUN
cana-4451	36	10	of	of	ADP
cana-4451	36	11	deceased	deceased	ADJ
cana-4451	36	12	subjects	subject	NOUN
cana-4451	36	13	'	'	PART
cana-4451	36	14	skulls	skull	NOUN
cana-4451	36	15	,	,	PUNCT
cana-4451	36	16	which	which	PRON
cana-4451	36	17	is	be	AUX
cana-4451	36	18	necessary	necessary	ADJ
cana-4451	36	19	for	for	ADP
cana-4451	36	20	physical	physical	ADJ
cana-4451	36	21	anthropology	anthropology	NOUN
cana-4451	36	22	forensics	forensic	NOUN
cana-4451	36	23	[	[	X
cana-4451	36	24	6	6	NUM
cana-4451	36	25	]	]	PUNCT
cana-4451	36	26	.	.	PUNCT
cana-4451	37	1	the	the	DET
cana-4451	37	2	primary	primary	ADJ
cana-4451	37	3	contributions	contribution	NOUN
cana-4451	37	4	of	of	ADP
cana-4451	37	5	this	this	DET
cana-4451	37	6	work	work	NOUN
cana-4451	37	7	:	:	PUNCT
cana-4451	37	8	1	1	X
cana-4451	37	9	.	.	X
cana-4451	37	10	preprocessing	preprocesse	VERB
cana-4451	37	11	techniques	technique	NOUN
cana-4451	37	12	like	like	ADP
cana-4451	37	13	image	image	NOUN
cana-4451	37	14	augmentation	augmentation	NOUN
cana-4451	37	15	,	,	PUNCT
cana-4451	37	16	noise	noise	NOUN
cana-4451	37	17	removal	removal	NOUN
cana-4451	37	18	and	and	CCONJ
cana-4451	37	19	image	image	NOUN
cana-4451	37	20	restoring	restore	VERB
cana-4451	37	21	are	be	AUX
cana-4451	37	22	used	use	VERB
cana-4451	37	23	to	to	PART
cana-4451	37	24	have	have	VERB
cana-4451	37	25	efficient	efficient	ADJ
cana-4451	37	26	feature	feature	NOUN
cana-4451	37	27	extraction	extraction	NOUN
cana-4451	37	28	.	.	PUNCT
cana-4451	38	1	2	2	X
cana-4451	38	2	.	.	X
cana-4451	38	3	feature	feature	NOUN
cana-4451	38	4	extraction	extraction	NOUN
cana-4451	38	5	[	[	X
cana-4451	38	6	7	7	X
cana-4451	38	7	]	]	X
cana-4451	38	8	[	[	X
cana-4451	38	9	8	8	NUM
cana-4451	38	10	]	]	PUNCT
cana-4451	38	11	methods	method	NOUN
cana-4451	38	12	,	,	PUNCT
cana-4451	38	13	such	such	ADJ
cana-4451	38	14	as	as	ADP
cana-4451	38	15	glcm	glcm	NOUN
cana-4451	38	16	-	-	PUNCT
cana-4451	38	17	features	feature	VERB
cana-4451	38	18	[	[	X
cana-4451	38	19	9	9	NUM
cana-4451	38	20	]	]	PUNCT
cana-4451	38	21	,	,	PUNCT
cana-4451	38	22	gabor	gabor	PROPN
cana-4451	38	23	-	-	PUNCT
cana-4451	38	24	features	feature	NOUN
cana-4451	38	25	,	,	PUNCT
cana-4451	38	26	fractal	fractal	NOUN
cana-4451	38	27	-	-	PUNCT
cana-4451	38	28	features	feature	NOUN
cana-4451	38	29	,	,	PUNCT
cana-4451	38	30	and	and	CCONJ
cana-4451	38	31	dwt	dwt	NOUN
cana-4451	38	32	-	-	PUNCT
cana-4451	38	33	features	feature	NOUN
cana-4451	38	34	are	be	AUX
cana-4451	38	35	used	use	VERB
cana-4451	38	36	to	to	PART
cana-4451	38	37	extract	extract	VERB
cana-4451	38	38	the	the	DET
cana-4451	38	39	important	important	ADJ
cana-4451	38	40	features	feature	NOUN
cana-4451	38	41	for	for	ADP
cana-4451	38	42	classification	classification	NOUN
cana-4451	38	43	process	process	NOUN
cana-4451	38	44	.	.	PUNCT
cana-4451	39	1	3	3	X
cana-4451	39	2	.	.	X
cana-4451	39	3	existing	exist	VERB
cana-4451	39	4	classifying	classify	VERB
cana-4451	39	5	method	method	NOUN
cana-4451	39	6	based	base	VERB
cana-4451	39	7	on	on	ADP
cana-4451	39	8	svm	svm	PROPN
cana-4451	39	9	[	[	X
cana-4451	39	10	10	10	NUM
cana-4451	39	11	]	]	PUNCT
cana-4451	39	12	produces	produce	VERB
cana-4451	39	13	a	a	DET
cana-4451	39	14	accuracy	accuracy	NOUN
cana-4451	39	15	of	of	ADP
cana-4451	39	16	83.3	83.3	NUM
cana-4451	39	17	%	%	NOUN
cana-4451	39	18	[	[	X
cana-4451	39	19	11	11	NUM
cana-4451	39	20	]	]	PUNCT
cana-4451	39	21	,	,	PUNCT
cana-4451	39	22	which	which	PRON
cana-4451	39	23	is	be	AUX
cana-4451	39	24	enhanced	enhance	VERB
cana-4451	39	25	by	by	ADP
cana-4451	39	26	using	use	VERB
cana-4451	39	27	cnn	cnn	PROPN
cana-4451	39	28	model	model	NOUN
cana-4451	39	29	up	up	ADP
cana-4451	39	30	to	to	ADP
cana-4451	39	31	96.21	96.21	NUM
cana-4451	39	32	%	%	NOUN
cana-4451	39	33	.	.	PUNCT
cana-4451	40	1	4	4	X
cana-4451	40	2	.	.	X
cana-4451	40	3	integrating	integrate	VERB
cana-4451	40	4	svm	svm	NOUN
cana-4451	40	5	in	in	ADP
cana-4451	40	6	the	the	DET
cana-4451	40	7	last	last	ADJ
cana-4451	40	8	layer	layer	NOUN
cana-4451	40	9	of	of	ADP
cana-4451	40	10	cnn	cnn	PROPN
cana-4451	40	11	[	[	X
cana-4451	40	12	12	12	NUM
cana-4451	40	13	]	]	PUNCT
cana-4451	40	14	architecture	architecture	NOUN
cana-4451	40	15	increases	increase	VERB
cana-4451	40	16	the	the	DET
cana-4451	40	17	accuracy	accuracy	NOUN
cana-4451	40	18	up	up	ADP
cana-4451	40	19	to	to	ADP
cana-4451	40	20	99.98	99.98	NUM
cana-4451	40	21	%	%	NOUN
cana-4451	40	22	.	.	PUNCT
cana-4451	41	1	1.1	1.1	NUM
cana-4451	41	2	motivation	motivation	NOUN
cana-4451	41	3	and	and	CCONJ
cana-4451	41	4	objectives	objective	VERB
cana-4451	41	5	the	the	DET
cana-4451	41	6	main	main	ADJ
cana-4451	41	7	problem	problem	NOUN
cana-4451	41	8	for	for	ADP
cana-4451	41	9	anthropologists	anthropologist	NOUN
cana-4451	41	10	and	and	CCONJ
cana-4451	41	11	forensic	forensic	ADJ
cana-4451	41	12	scientists	scientist	NOUN
cana-4451	41	13	is	be	AUX
cana-4451	41	14	the	the	DET
cana-4451	41	15	time	time	NOUN
cana-4451	41	16	-	-	PUNCT
cana-4451	41	17	consuming	consume	VERB
cana-4451	41	18	manual	manual	ADJ
cana-4451	41	19	classification	classification	NOUN
cana-4451	41	20	of	of	ADP
cana-4451	41	21	skulls	skull	NOUN
cana-4451	41	22	,	,	PUNCT
cana-4451	41	23	especially	especially	ADV
cana-4451	41	24	when	when	SCONJ
cana-4451	41	25	determining	determine	VERB
cana-4451	41	26	which	which	DET
cana-4451	41	27	ones	one	NOUN
cana-4451	41	28	have	have	VERB
cana-4451	41	29	mandibles	mandible	NOUN
cana-4451	41	30	and	and	CCONJ
cana-4451	41	31	which	which	PRON
cana-4451	41	32	do	do	VERB
cana-4451	41	33	not	not	PART
cana-4451	41	34	.	.	PUNCT
cana-4451	42	1	collections	collection	NOUN
cana-4451	42	2	of	of	ADP
cana-4451	42	3	skulls	skull	NOUN
cana-4451	42	4	frequently	frequently	ADV
cana-4451	42	5	fluctuate	fluctuate	VERB
cana-4451	42	6	in	in	ADP
cana-4451	42	7	size	size	NOUN
cana-4451	42	8	,	,	PUNCT
cana-4451	42	9	and	and	CCONJ
cana-4451	42	10	anatomical	anatomical	ADJ
cana-4451	42	11	variations	variation	NOUN
cana-4451	42	12	among	among	ADP
cana-4451	42	13	skulls	skull	NOUN
cana-4451	42	14	can	can	AUX
cana-4451	42	15	be	be	AUX
cana-4451	42	16	subtle	subtle	ADJ
cana-4451	42	17	and	and	CCONJ
cana-4451	42	18	challenging	challenging	ADJ
cana-4451	42	19	to	to	PART
cana-4451	42	20	identify	identify	VERB
cana-4451	42	21	with	with	ADP
cana-4451	42	22	conventional	conventional	ADJ
cana-4451	42	23	techniques	technique	NOUN
cana-4451	42	24	.	.	PUNCT
cana-4451	43	1	additionally	additionally	ADV
cana-4451	43	2	,	,	PUNCT
cana-4451	43	3	when	when	SCONJ
cana-4451	43	4	researchers	researcher	NOUN
cana-4451	43	5	are	be	AUX
cana-4451	43	6	dealing	deal	VERB
cana-4451	43	7	with	with	ADP
cana-4451	43	8	big	big	ADJ
cana-4451	43	9	datasets	dataset	NOUN
cana-4451	43	10	that	that	PRON
cana-4451	43	11	may	may	AUX
cana-4451	43	12	comprise	comprise	VERB
cana-4451	43	13	hundreds	hundred	NOUN
cana-4451	43	14	or	or	CCONJ
cana-4451	43	15	thousands	thousand	NOUN
cana-4451	43	16	of	of	ADP
cana-4451	43	17	skull	skull	NOUN
cana-4451	43	18	pictures	picture	NOUN
cana-4451	43	19	,	,	PUNCT
cana-4451	43	20	manual	manual	ADJ
cana-4451	43	21	inspection	inspection	NOUN
cana-4451	43	22	is	be	AUX
cana-4451	43	23	laborious	laborious	ADJ
cana-4451	43	24	and	and	CCONJ
cana-4451	43	25	prone	prone	ADJ
cana-4451	43	26	to	to	ADP
cana-4451	43	27	mistakes	mistake	NOUN
cana-4451	43	28	.	.	PUNCT
cana-4451	44	1	to	to	PART
cana-4451	44	2	categorize	categorize	VERB
cana-4451	44	3	skulls	skull	NOUN
cana-4451	44	4	according	accord	VERB
cana-4451	44	5	to	to	ADP
cana-4451	44	6	the	the	DET
cana-4451	44	7	presence	presence	NOUN
cana-4451	44	8	of	of	ADP
cana-4451	44	9	the	the	DET
cana-4451	44	10	mandible	mandible	NOUN
cana-4451	44	11	,	,	PUNCT
cana-4451	44	12	an	an	DET
cana-4451	44	13	automated	automate	VERB
cana-4451	44	14	,	,	PUNCT
cana-4451	44	15	high	high	ADJ
cana-4451	44	16	-	-	PUNCT
cana-4451	44	17	performance	performance	NOUN
cana-4451	44	18	system	system	NOUN
cana-4451	44	19	is	be	AUX
cana-4451	44	20	essential	essential	ADJ
cana-4451	44	21	.	.	PUNCT
cana-4451	45	1	this	this	DET
cana-4451	45	2	system	system	NOUN
cana-4451	45	3	should	should	AUX
cana-4451	45	4	be	be	AUX
cana-4451	45	5	able	able	ADJ
cana-4451	45	6	to	to	PART
cana-4451	45	7	classify	classify	VERB
cana-4451	45	8	skull	skull	NOUN
cana-4451	45	9	photos	photo	NOUN
cana-4451	45	10	in	in	ADP
cana-4451	45	11	real	real	ADJ
cana-4451	45	12	time	time	NOUN
cana-4451	45	13	and	and	CCONJ
cana-4451	45	14	analyze	analyze	VERB
cana-4451	45	15	them	they	PRON
cana-4451	45	16	with	with	ADP
cana-4451	45	17	speed	speed	NOUN
cana-4451	45	18	and	and	CCONJ
cana-4451	45	19	accuracy	accuracy	NOUN
cana-4451	45	20	.	.	PUNCT
cana-4451	46	1	additionally	additionally	ADV
cana-4451	46	2	,	,	PUNCT
cana-4451	46	3	it	it	PRON
cana-4451	46	4	should	should	AUX
cana-4451	46	5	be	be	AUX
cana-4451	46	6	user	user	NOUN
cana-4451	46	7	-	-	PUNCT
cana-4451	46	8	friendly	friendly	ADJ
cana-4451	46	9	and	and	CCONJ
cana-4451	46	10	portable	portable	ADJ
cana-4451	46	11	for	for	ADP
cana-4451	46	12	usage	usage	NOUN
cana-4451	46	13	in	in	ADP
cana-4451	46	14	a	a	DET
cana-4451	46	15	variety	variety	NOUN
cana-4451	46	16	of	of	ADP
cana-4451	46	17	communications	communication	NOUN
cana-4451	46	18	on	on	ADP
cana-4451	46	19	applied	apply	VERB
cana-4451	46	20	nonlinear	nonlinear	ADJ
cana-4451	46	21	analysis	analysis	NOUN
cana-4451	46	22	issn	issn	NOUN
cana-4451	46	23	:	:	PUNCT
cana-4451	46	24	1074	1074	NUM
cana-4451	46	25	-	-	PUNCT
cana-4451	46	26	133x	133x	NUM
cana-4451	46	27	vol	vol	NOUN
cana-4451	46	28	32	32	NUM
cana-4451	46	29	no	no	NOUN
cana-4451	46	30	.	.	PUNCT
cana-4451	47	1	9s	9s	NUM
cana-4451	47	2	(	(	PUNCT
cana-4451	47	3	2025	2025	NUM
cana-4451	47	4	)	)	PUNCT
cana-4451	47	5	2102	2102	NUM
cana-4451	47	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4451	47	7	research	research	NOUN
cana-4451	47	8	contexts	contexts	NOUN
cana-4451	47	9	,	,	PUNCT
cana-4451	47	10	including	include	VERB
cana-4451	47	11	lab	lab	NOUN
cana-4451	47	12	and	and	CCONJ
cana-4451	47	13	fieldwork	fieldwork	NOUN
cana-4451	47	14	.	.	PUNCT
cana-4451	48	1	it	it	PRON
cana-4451	48	2	needs	need	VERB
cana-4451	48	3	to	to	PART
cana-4451	48	4	be	be	AUX
cana-4451	48	5	flexible	flexible	ADJ
cana-4451	48	6	enough	enough	ADV
cana-4451	48	7	to	to	PART
cana-4451	48	8	accommodate	accommodate	VERB
cana-4451	48	9	different	different	ADJ
cana-4451	48	10	kinds	kind	NOUN
cana-4451	48	11	of	of	ADP
cana-4451	48	12	skulls	skull	NOUN
cana-4451	48	13	and	and	CCONJ
cana-4451	48	14	tailored	tailor	VERB
cana-4451	48	15	to	to	ADP
cana-4451	48	16	the	the	DET
cana-4451	48	17	particular	particular	ADJ
cana-4451	48	18	needs	need	NOUN
cana-4451	48	19	of	of	ADP
cana-4451	48	20	various	various	ADJ
cana-4451	48	21	research	research	NOUN
cana-4451	48	22	initiatives	initiative	NOUN
cana-4451	48	23	.	.	PUNCT
cana-4451	49	1	the	the	DET
cana-4451	49	2	following	follow	VERB
cana-4451	49	3	are	be	AUX
cana-4451	49	4	important	important	ADJ
cana-4451	49	5	issues	issue	NOUN
cana-4451	49	6	to	to	PART
cana-4451	49	7	address	address	VERB
cana-4451	49	8	:	:	PUNCT
cana-4451	49	9	(	(	PUNCT
cana-4451	49	10	1	1	X
cana-4451	49	11	)	)	PUNCT
cana-4451	49	12	image	image	NOUN
cana-4451	49	13	variability	variability	NOUN
cana-4451	49	14	:	:	PUNCT
cana-4451	49	15	it	it	PRON
cana-4451	49	16	can	can	AUX
cana-4451	49	17	be	be	AUX
cana-4451	49	18	difficult	difficult	ADJ
cana-4451	49	19	to	to	PART
cana-4451	49	20	create	create	VERB
cana-4451	49	21	a	a	DET
cana-4451	49	22	categorization	categorization	NOUN
cana-4451	49	23	system	system	NOUN
cana-4451	49	24	that	that	PRON
cana-4451	49	25	works	work	VERB
cana-4451	49	26	for	for	ADP
cana-4451	49	27	all	all	DET
cana-4451	49	28	skull	skull	NOUN
cana-4451	49	29	photos	photo	NOUN
cana-4451	49	30	due	due	ADJ
cana-4451	49	31	to	to	ADP
cana-4451	49	32	variations	variation	NOUN
cana-4451	49	33	in	in	ADP
cana-4451	49	34	quality	quality	NOUN
cana-4451	49	35	,	,	PUNCT
cana-4451	49	36	orientation	orientation	NOUN
cana-4451	49	37	,	,	PUNCT
cana-4451	49	38	illumination	illumination	NOUN
cana-4451	49	39	,	,	PUNCT
cana-4451	49	40	and	and	CCONJ
cana-4451	49	41	anatomical	anatomical	ADJ
cana-4451	49	42	features	feature	NOUN
cana-4451	49	43	.	.	PUNCT
cana-4451	50	1	(	(	PUNCT
cana-4451	50	2	2	2	X
cana-4451	50	3	)	)	PUNCT
cana-4451	50	4	complexity	complexity	NOUN
cana-4451	50	5	of	of	ADP
cana-4451	50	6	skull	skull	NOUN
cana-4451	50	7	structures	structure	NOUN
cana-4451	50	8	:	:	PUNCT
cana-4451	50	9	skull	skull	NOUN
cana-4451	50	10	characteristics	characteristic	NOUN
cana-4451	50	11	are	be	AUX
cana-4451	50	12	complex	complex	ADJ
cana-4451	50	13	,	,	PUNCT
cana-4451	50	14	and	and	CCONJ
cana-4451	50	15	it	it	PRON
cana-4451	50	16	takes	take	VERB
cana-4451	50	17	meticulous	meticulous	ADJ
cana-4451	50	18	feature	feature	NOUN
cana-4451	50	19	extraction	extraction	NOUN
cana-4451	50	20	from	from	ADP
cana-4451	50	21	the	the	DET
cana-4451	50	22	images	image	NOUN
cana-4451	50	23	to	to	PART
cana-4451	50	24	distinguish	distinguish	VERB
cana-4451	50	25	between	between	ADP
cana-4451	50	26	skulls	skull	NOUN
cana-4451	50	27	with	with	ADP
cana-4451	50	28	and	and	CCONJ
cana-4451	50	29	without	without	ADP
cana-4451	50	30	mandibles	mandible	NOUN
cana-4451	50	31	.	.	PUNCT
cana-4451	51	1	(	(	PUNCT
cana-4451	51	2	3	3	X
cana-4451	51	3	)	)	PUNCT
cana-4451	51	4	scalability	scalability	NOUN
cana-4451	51	5	:	:	PUNCT
cana-4451	51	6	the	the	DET
cana-4451	51	7	system	system	NOUN
cana-4451	51	8	must	must	AUX
cana-4451	51	9	be	be	AUX
cana-4451	51	10	able	able	ADJ
cana-4451	51	11	to	to	PART
cana-4451	51	12	process	process	VERB
cana-4451	51	13	massive	massive	ADJ
cana-4451	51	14	amounts	amount	NOUN
cana-4451	51	15	of	of	ADP
cana-4451	51	16	skull	skull	NOUN
cana-4451	51	17	images	image	NOUN
cana-4451	51	18	quickly	quickly	ADV
cana-4451	51	19	and	and	CCONJ
cana-4451	51	20	accurately	accurately	ADV
cana-4451	51	21	while	while	SCONJ
cana-4451	51	22	handling	handle	VERB
cana-4451	51	23	datasets	dataset	NOUN
cana-4451	51	24	of	of	ADP
cana-4451	51	25	various	various	ADJ
cana-4451	51	26	sizes	size	NOUN
cana-4451	51	27	and	and	CCONJ
cana-4451	51	28	complexity	complexity	NOUN
cana-4451	51	29	.	.	PUNCT
cana-4451	52	1	(	(	PUNCT
cana-4451	52	2	4	4	X
cana-4451	52	3	)	)	PUNCT
cana-4451	52	4	real	real	ADJ
cana-4451	52	5	-	-	PUNCT
cana-4451	52	6	time	time	NOUN
cana-4451	52	7	processing	processing	NOUN
cana-4451	52	8	:	:	PUNCT
cana-4451	52	9	when	when	SCONJ
cana-4451	52	10	working	work	VERB
cana-4451	52	11	on	on	ADP
cana-4451	52	12	forensic	forensic	ADJ
cana-4451	52	13	investigations	investigation	NOUN
cana-4451	52	14	that	that	PRON
cana-4451	52	15	have	have	VERB
cana-4451	52	16	a	a	DET
cana-4451	52	17	tight	tight	ADJ
cana-4451	52	18	timeline	timeline	NOUN
cana-4451	52	19	,	,	PUNCT
cana-4451	52	20	researchers	researcher	NOUN
cana-4451	52	21	require	require	VERB
cana-4451	52	22	results	result	NOUN
cana-4451	52	23	virtually	virtually	ADV
cana-4451	52	24	immediately	immediately	ADV
cana-4451	52	25	.	.	PUNCT
cana-4451	53	1	for	for	SCONJ
cana-4451	53	2	the	the	DET
cana-4451	53	3	system	system	NOUN
cana-4451	53	4	to	to	PART
cana-4451	53	5	facilitate	facilitate	VERB
cana-4451	53	6	prompt	prompt	ADJ
cana-4451	53	7	decision	decision	NOUN
cana-4451	53	8	-	-	PUNCT
cana-4451	53	9	making	making	NOUN
cana-4451	53	10	,	,	PUNCT
cana-4451	53	11	real	real	ADJ
cana-4451	53	12	-	-	PUNCT
cana-4451	53	13	time	time	NOUN
cana-4451	53	14	monitoring	monitoring	NOUN
cana-4451	53	15	must	must	AUX
cana-4451	53	16	be	be	AUX
cana-4451	53	17	possible	possible	ADJ
cana-4451	53	18	.	.	PUNCT
cana-4451	54	1	by	by	ADP
cana-4451	54	2	tackling	tackle	VERB
cana-4451	54	3	these	these	DET
cana-4451	54	4	issues	issue	NOUN
cana-4451	54	5	,	,	PUNCT
cana-4451	54	6	the	the	DET
cana-4451	54	7	suggested	suggest	VERB
cana-4451	54	8	solution	solution	NOUN
cana-4451	54	9	seeks	seek	VERB
cana-4451	54	10	to	to	PART
cana-4451	54	11	get	get	VERB
cana-4451	54	12	beyond	beyond	ADP
cana-4451	54	13	the	the	DET
cana-4451	54	14	drawbacks	drawback	NOUN
cana-4451	54	15	of	of	ADP
cana-4451	54	16	conventional	conventional	ADJ
cana-4451	54	17	techniques	technique	NOUN
cana-4451	54	18	and	and	CCONJ
cana-4451	54	19	provide	provide	VERB
cana-4451	54	20	a	a	DET
cana-4451	54	21	quicker	quick	ADJ
cana-4451	54	22	,	,	PUNCT
cana-4451	54	23	more	more	ADV
cana-4451	54	24	precise	precise	ADJ
cana-4451	54	25	substitute	substitute	NOUN
cana-4451	54	26	.	.	PUNCT
cana-4451	55	1	the	the	DET
cana-4451	55	2	objectives	objective	NOUN
cana-4451	55	3	of	of	ADP
cana-4451	55	4	this	this	DET
cana-4451	55	5	research	research	NOUN
cana-4451	55	6	are	be	AUX
cana-4451	55	7	listed	list	VERB
cana-4451	55	8	below	below	ADP
cana-4451	55	9	:	:	PUNCT
cana-4451	55	10	(	(	PUNCT
cana-4451	55	11	1	1	X
cana-4451	55	12	)	)	PUNCT
cana-4451	55	13	real	real	ADJ
cana-4451	55	14	time	time	NOUN
cana-4451	55	15	monitoring	monitoring	NOUN
cana-4451	55	16	:	:	PUNCT
cana-4451	55	17	to	to	PART
cana-4451	55	18	develop	develop	VERB
cana-4451	55	19	an	an	DET
cana-4451	55	20	automated	automate	VERB
cana-4451	55	21	system	system	NOUN
cana-4451	55	22	[	[	X
cana-4451	55	23	13	13	NUM
cana-4451	55	24	]	]	PUNCT
cana-4451	55	25	that	that	PRON
cana-4451	55	26	can	can	AUX
cana-4451	55	27	identify	identify	VERB
cana-4451	55	28	skulls	skull	NOUN
cana-4451	55	29	in	in	ADP
cana-4451	55	30	real	real	ADJ
cana-4451	55	31	time	time	NOUN
cana-4451	55	32	and	and	CCONJ
cana-4451	55	33	provide	provide	VERB
cana-4451	55	34	prompt	prompt	ADJ
cana-4451	55	35	information	information	NOUN
cana-4451	55	36	on	on	ADP
cana-4451	55	37	whether	whether	SCONJ
cana-4451	55	38	or	or	CCONJ
cana-4451	55	39	not	not	PART
cana-4451	55	40	a	a	DET
cana-4451	55	41	skull	skull	NOUN
cana-4451	55	42	has	have	AUX
cana-4451	55	43	a	a	DET
cana-4451	55	44	mandible	mandible	NOUN
cana-4451	55	45	.	.	PUNCT
cana-4451	56	1	forensic	forensic	ADJ
cana-4451	56	2	scientists	scientist	NOUN
cana-4451	56	3	need	need	VERB
cana-4451	56	4	quick	quick	ADJ
cana-4451	56	5	input	input	NOUN
cana-4451	56	6	in	in	ADP
cana-4451	56	7	order	order	NOUN
cana-4451	56	8	to	to	PART
cana-4451	56	9	make	make	VERB
cana-4451	56	10	conclusions	conclusion	NOUN
cana-4451	56	11	in	in	ADP
cana-4451	56	12	instances	instance	NOUN
cana-4451	56	13	that	that	PRON
cana-4451	56	14	have	have	VERB
cana-4451	56	15	a	a	DET
cana-4451	56	16	tight	tight	ADJ
cana-4451	56	17	deadline	deadline	NOUN
cana-4451	56	18	,	,	PUNCT
cana-4451	56	19	hence	hence	ADV
cana-4451	56	20	this	this	DET
cana-4451	56	21	goal	goal	NOUN
cana-4451	56	22	is	be	AUX
cana-4451	56	23	essential	essential	ADJ
cana-4451	56	24	.	.	PUNCT
cana-4451	57	1	(	(	PUNCT
cana-4451	57	2	2	2	X
cana-4451	57	3	)	)	PUNCT
cana-4451	57	4	portability	portability	NOUN
cana-4451	57	5	:	:	PUNCT
cana-4451	57	6	to	to	PART
cana-4451	57	7	ensure	ensure	VERB
cana-4451	57	8	that	that	SCONJ
cana-4451	57	9	the	the	DET
cana-4451	57	10	system	system	NOUN
cana-4451	57	11	is	be	AUX
cana-4451	57	12	easily	easily	ADV
cana-4451	57	13	deployable	deployable	ADJ
cana-4451	57	14	in	in	ADP
cana-4451	57	15	a	a	DET
cana-4451	57	16	variety	variety	NOUN
cana-4451	57	17	of	of	ADP
cana-4451	57	18	scenarios	scenario	NOUN
cana-4451	57	19	,	,	PUNCT
cana-4451	57	20	including	include	VERB
cana-4451	57	21	fieldwork	fieldwork	NOUN
cana-4451	57	22	and	and	CCONJ
cana-4451	57	23	lab	lab	NOUN
cana-4451	57	24	settings	setting	NOUN
cana-4451	57	25	.	.	PUNCT
cana-4451	58	1	widespread	widespread	ADJ
cana-4451	58	2	use	use	NOUN
cana-4451	58	3	is	be	AUX
cana-4451	58	4	made	make	VERB
cana-4451	58	5	possible	possible	ADJ
cana-4451	58	6	by	by	ADP
cana-4451	58	7	this	this	DET
cana-4451	58	8	goal	goal	NOUN
cana-4451	58	9	,	,	PUNCT
cana-4451	58	10	particularly	particularly	ADV
cana-4451	58	11	in	in	ADP
cana-4451	58	12	places	place	NOUN
cana-4451	58	13	without	without	ADP
cana-4451	58	14	access	access	NOUN
cana-4451	58	15	to	to	ADP
cana-4451	58	16	cutting	cut	VERB
cana-4451	58	17	-	-	PUNCT
cana-4451	58	18	edge	edge	NOUN
cana-4451	58	19	research	research	NOUN
cana-4451	58	20	facilities	facility	NOUN
cana-4451	58	21	.	.	PUNCT
cana-4451	59	1	(	(	PUNCT
cana-4451	59	2	3	3	X
cana-4451	59	3	)	)	PUNCT
cana-4451	59	4	customization	customization	NOUN
cana-4451	59	5	:	:	PUNCT
cana-4451	59	6	to	to	PART
cana-4451	59	7	give	give	VERB
cana-4451	59	8	users	user	NOUN
cana-4451	59	9	freedom	freedom	NOUN
cana-4451	59	10	by	by	ADP
cana-4451	59	11	letting	let	VERB
cana-4451	59	12	them	they	PRON
cana-4451	59	13	alter	alter	VERB
cana-4451	59	14	the	the	DET
cana-4451	59	15	classification	classification	NOUN
cana-4451	59	16	criteria	criterion	NOUN
cana-4451	59	17	to	to	PART
cana-4451	59	18	suit	suit	VERB
cana-4451	59	19	their	their	PRON
cana-4451	59	20	own	own	ADJ
cana-4451	59	21	research	research	NOUN
cana-4451	59	22	requirements	requirement	NOUN
cana-4451	59	23	.	.	PUNCT
cana-4451	60	1	it	it	PRON
cana-4451	60	2	's	be	AUX
cana-4451	60	3	possible	possible	ADJ
cana-4451	60	4	that	that	SCONJ
cana-4451	60	5	various	various	ADJ
cana-4451	60	6	skulls	skull	NOUN
cana-4451	60	7	need	need	VERB
cana-4451	60	8	different	different	ADJ
cana-4451	60	9	traits	trait	NOUN
cana-4451	60	10	to	to	PART
cana-4451	60	11	be	be	AUX
cana-4451	60	12	given	give	VERB
cana-4451	60	13	priority	priority	NOUN
cana-4451	60	14	,	,	PUNCT
cana-4451	60	15	and	and	CCONJ
cana-4451	60	16	the	the	DET
cana-4451	60	17	algorithm	algorithm	NOUN
cana-4451	60	18	should	should	AUX
cana-4451	60	19	account	account	VERB
cana-4451	60	20	for	for	ADP
cana-4451	60	21	these	these	DET
cana-4451	60	22	differences	difference	NOUN
cana-4451	60	23	.	.	PUNCT
cana-4451	61	1	(	(	PUNCT
cana-4451	61	2	4	4	X
cana-4451	61	3	)	)	PUNCT
cana-4451	61	4	sustainability	sustainability	NOUN
cana-4451	61	5	:	:	PUNCT
cana-4451	61	6	enhance	enhance	VERB
cana-4451	61	7	the	the	DET
cana-4451	61	8	classification	classification	NOUN
cana-4451	61	9	procedure	procedure	NOUN
cana-4451	61	10	to	to	PART
cana-4451	61	11	decrease	decrease	VERB
cana-4451	61	12	errors	error	NOUN
cana-4451	61	13	and	and	CCONJ
cana-4451	61	14	lessen	lessen	VERB
cana-4451	61	15	reliance	reliance	NOUN
cana-4451	61	16	on	on	ADP
cana-4451	61	17	human	human	ADJ
cana-4451	61	18	labor	labor	NOUN
cana-4451	61	19	,	,	PUNCT
cana-4451	61	20	supporting	support	VERB
cana-4451	61	21	more	more	ADV
cana-4451	61	22	environmentally	environmentally	ADV
cana-4451	61	23	friendly	friendly	ADJ
cana-4451	61	24	forensic	forensic	ADJ
cana-4451	61	25	and	and	CCONJ
cana-4451	61	26	physical	physical	ADJ
cana-4451	61	27	anthropological	anthropological	ADJ
cana-4451	61	28	research	research	NOUN
cana-4451	61	29	methods	method	NOUN
cana-4451	61	30	.	.	PUNCT
cana-4451	62	1	2	2	X
cana-4451	62	2	.	.	X
cana-4451	62	3	related	relate	VERB
cana-4451	62	4	works	work	VERB
cana-4451	62	5	an	an	DET
cana-4451	62	6	autonomous	autonomous	ADJ
cana-4451	62	7	facial	facial	ADJ
cana-4451	62	8	recognition	recognition	NOUN
cana-4451	62	9	system	system	NOUN
cana-4451	62	10	for	for	ADP
cana-4451	62	11	image	image	NOUN
cana-4451	62	12	classification	classification	NOUN
cana-4451	62	13	[	[	X
cana-4451	62	14	14	14	NUM
cana-4451	62	15	]	]	PUNCT
cana-4451	62	16	is	be	AUX
cana-4451	62	17	becoming	become	VERB
cana-4451	62	18	more	more	ADV
cana-4451	62	19	and	and	CCONJ
cana-4451	62	20	more	more	ADV
cana-4451	62	21	necessary	necessary	ADJ
cana-4451	62	22	.	.	PUNCT
cana-4451	63	1	facial	facial	ADJ
cana-4451	63	2	perception	perception	NOUN
cana-4451	63	3	and	and	CCONJ
cana-4451	63	4	identification	identification	NOUN
cana-4451	63	5	have	have	AUX
cana-4451	63	6	been	be	AUX
cana-4451	63	7	the	the	DET
cana-4451	63	8	subject	subject	NOUN
cana-4451	63	9	of	of	ADP
cana-4451	63	10	several	several	ADJ
cana-4451	63	11	studies	study	NOUN
cana-4451	63	12	.	.	PUNCT
cana-4451	64	1	auto	auto	NOUN
cana-4451	64	2	-	-	PUNCT
cana-4451	64	3	facial	facial	ADJ
cana-4451	64	4	processing	processing	NOUN
cana-4451	64	5	is	be	AUX
cana-4451	64	6	a	a	DET
cana-4451	64	7	useful	useful	ADJ
cana-4451	64	8	method	method	NOUN
cana-4451	64	9	for	for	ADP
cana-4451	64	10	facial	facial	ADJ
cana-4451	64	11	identification	identification	NOUN
cana-4451	64	12	.	.	PUNCT
cana-4451	65	1	with	with	ADP
cana-4451	65	2	these	these	DET
cana-4451	65	3	methods	method	NOUN
cana-4451	65	4	,	,	PUNCT
cana-4451	65	5	low	low	ADJ
cana-4451	65	6	-	-	PUNCT
cana-4451	65	7	cost	cost	NOUN
cana-4451	65	8	digital	digital	ADJ
cana-4451	65	9	cameras	camera	NOUN
cana-4451	65	10	or	or	CCONJ
cana-4451	65	11	video	video	NOUN
cana-4451	65	12	recorders	recorder	NOUN
cana-4451	65	13	generate	generate	VERB
cana-4451	65	14	a	a	DET
cana-4451	65	15	useful	useful	ADJ
cana-4451	65	16	dataset	dataset	NOUN
cana-4451	65	17	.	.	PUNCT
cana-4451	66	1	numerous	numerous	ADJ
cana-4451	66	2	theories	theory	NOUN
cana-4451	66	3	also	also	ADV
cana-4451	66	4	examined	examine	VERB
cana-4451	66	5	human	human	ADJ
cana-4451	66	6	recognition	recognition	NOUN
cana-4451	66	7	using	use	VERB
cana-4451	66	8	different	different	ADJ
cana-4451	66	9	body	body	NOUN
cana-4451	66	10	photos	photo	NOUN
cana-4451	66	11	taken	take	VERB
cana-4451	66	12	by	by	ADP
cana-4451	66	13	cameras	camera	NOUN
cana-4451	66	14	.	.	PUNCT
cana-4451	67	1	in	in	ADP
cana-4451	67	2	recent	recent	ADJ
cana-4451	67	3	works	work	NOUN
cana-4451	67	4	they	they	PRON
cana-4451	67	5	[	[	X
cana-4451	67	6	15	15	NUM
cana-4451	67	7	]	]	X
cana-4451	67	8	used	use	VERB
cana-4451	67	9	similarity	similarity	NOUN
cana-4451	67	10	learning	learn	VERB
cana-4451	67	11	to	to	PART
cana-4451	67	12	re	re	VERB
cana-4451	67	13	-	-	VERB
cana-4451	67	14	identify	identify	VERB
cana-4451	67	15	people	people	NOUN
cana-4451	67	16	based	base	VERB
cana-4451	67	17	on	on	ADP
cana-4451	67	18	several	several	ADJ
cana-4451	67	19	regions	region	NOUN
cana-4451	67	20	by	by	ADP
cana-4451	67	21	describing	describe	VERB
cana-4451	67	22	the	the	DET
cana-4451	67	23	matching	matching	NOUN
cana-4451	67	24	using	use	VERB
cana-4451	67	25	a	a	DET
cana-4451	67	26	polynomial	polynomial	ADJ
cana-4451	67	27	feature	feature	NOUN
cana-4451	67	28	map	map	NOUN
cana-4451	67	29	.	.	PUNCT
cana-4451	68	1	each	each	DET
cana-4451	68	2	feature	feature	NOUN
cana-4451	68	3	map	map	NOUN
cana-4451	68	4	was	be	AUX
cana-4451	68	5	then	then	ADV
cana-4451	68	6	included	include	VERB
cana-4451	68	7	into	into	ADP
cana-4451	68	8	a	a	DET
cana-4451	68	9	single	single	ADJ
cana-4451	68	10	framework	framework	NOUN
cana-4451	68	11	.	.	PUNCT
cana-4451	69	1	this	this	DET
cana-4451	69	2	technique	technique	NOUN
cana-4451	69	3	was	be	AUX
cana-4451	69	4	also	also	ADV
cana-4451	69	5	used	use	VERB
cana-4451	69	6	by	by	ADP
cana-4451	69	7	to	to	PART
cana-4451	69	8	combine	combine	VERB
cana-4451	69	9	deep	deep	ADJ
cana-4451	69	10	cnns	cnn	NOUN
cana-4451	69	11	with	with	ADP
cana-4451	69	12	gait	gait	NOUN
cana-4451	69	13	-	-	PUNCT
cana-4451	69	14	based	base	VERB
cana-4451	69	15	person	person	NOUN
cana-4451	69	16	recognition	recognition	NOUN
cana-4451	69	17	.	.	PUNCT
cana-4451	70	1	numerous	numerous	ADJ
cana-4451	70	2	scenarios	scenario	NOUN
cana-4451	70	3	,	,	PUNCT
cana-4451	70	4	including	include	VERB
cana-4451	70	5	cross	cross	ADJ
cana-4451	70	6	-	-	ADJ
cana-4451	70	7	walking	walking	ADJ
cana-4451	70	8	and	and	CCONJ
cana-4451	70	9	cross	cross	ADJ
cana-4451	70	10	-	-	ADJ
cana-4451	70	11	view	view	ADJ
cana-4451	70	12	scenarios	scenario	NOUN
cana-4451	70	13	with	with	ADP
cana-4451	70	14	various	various	ADJ
cana-4451	70	15	communications	communication	NOUN
cana-4451	70	16	on	on	ADP
cana-4451	70	17	applied	apply	VERB
cana-4451	70	18	nonlinear	nonlinear	ADJ
cana-4451	70	19	analysis	analysis	NOUN
cana-4451	70	20	issn	issn	NOUN
cana-4451	70	21	:	:	PUNCT
cana-4451	70	22	1074	1074	NUM
cana-4451	70	23	-	-	PUNCT
cana-4451	70	24	133x	133x	NUM
cana-4451	70	25	vol	vol	NOUN
cana-4451	70	26	32	32	NUM
cana-4451	70	27	no	no	NOUN
cana-4451	70	28	.	.	PUNCT
cana-4451	71	1	9s	9s	NUM
cana-4451	71	2	(	(	PUNCT
cana-4451	71	3	2025	2025	NUM
cana-4451	71	4	)	)	PUNCT
cana-4451	71	5	2103	2103	NUM
cana-4451	72	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4451	72	2	network	network	NOUN
cana-4451	72	3	designs	design	NOUN
cana-4451	72	4	and	and	CCONJ
cana-4451	72	5	pre	pre	ADJ
cana-4451	72	6	-	-	ADJ
cana-4451	72	7	processing	processing	NOUN
cana-4451	72	8	,	,	PUNCT
cana-4451	72	9	were	be	AUX
cana-4451	72	10	investigated	investigate	VERB
cana-4451	72	11	.	.	PUNCT
cana-4451	73	1	as	as	ADP
cana-4451	73	2	part	part	NOUN
cana-4451	73	3	of	of	ADP
cana-4451	73	4	a	a	DET
cana-4451	73	5	multimodal	multimodal	ADJ
cana-4451	73	6	approach	approach	NOUN
cana-4451	73	7	to	to	ADP
cana-4451	73	8	person	person	NOUN
cana-4451	73	9	recognition	recognition	NOUN
cana-4451	73	10	is	be	AUX
cana-4451	73	11	employed	employ	VERB
cana-4451	73	12	a	a	DET
cana-4451	73	13	deep	deep	ADJ
cana-4451	73	14	cnn	cnn	NOUN
cana-4451	73	15	to	to	PART
cana-4451	73	16	examine	examine	VERB
cana-4451	73	17	the	the	DET
cana-4451	73	18	face	face	NOUN
cana-4451	73	19	and	and	CCONJ
cana-4451	73	20	torso	torso	NOUN
cana-4451	73	21	.	.	PUNCT
cana-4451	74	1	in	in	ADP
cana-4451	74	2	further	further	ADJ
cana-4451	74	3	investigation	investigation	NOUN
cana-4451	74	4	of	of	ADP
cana-4451	74	5	face	face	NOUN
cana-4451	74	6	recognition	recognition	NOUN
cana-4451	74	7	,	,	PUNCT
cana-4451	74	8	rotated	rotate	VERB
cana-4451	74	9	the	the	DET
cana-4451	74	10	cheeks	cheek	NOUN
cana-4451	74	11	,	,	PUNCT
cana-4451	74	12	lips	lip	NOUN
cana-4451	74	13	,	,	PUNCT
cana-4451	74	14	eyes	eye	NOUN
cana-4451	74	15	,	,	PUNCT
cana-4451	74	16	and	and	CCONJ
cana-4451	74	17	nose	nose	NOUN
cana-4451	74	18	in	in	ADP
cana-4451	74	19	addition	addition	NOUN
cana-4451	74	20	to	to	ADP
cana-4451	74	21	employing	employ	VERB
cana-4451	74	22	a	a	DET
cana-4451	74	23	feature	feature	NOUN
cana-4451	74	24	extraction	extraction	NOUN
cana-4451	74	25	and	and	CCONJ
cana-4451	74	26	processing	processing	NOUN
cana-4451	74	27	using	use	VERB
cana-4451	74	28	cnn	cnn	PROPN
cana-4451	74	29	prior	prior	ADV
cana-4451	74	30	to	to	ADP
cana-4451	74	31	svm	svm	VERB
cana-4451	74	32	classification	classification	NOUN
cana-4451	74	33	.	.	PUNCT
cana-4451	75	1	looking	look	VERB
cana-4451	75	2	at	at	ADP
cana-4451	75	3	partial	partial	ADJ
cana-4451	75	4	face	face	NOUN
cana-4451	75	5	analysis	analysis	NOUN
cana-4451	75	6	.	.	PUNCT
cana-4451	76	1	identification	identification	NOUN
cana-4451	76	2	by	by	ADP
cana-4451	76	3	matching	match	VERB
cana-4451	76	4	the	the	DET
cana-4451	76	5	local	local	ADJ
cana-4451	76	6	key	key	ADJ
cana-4451	76	7	points	point	NOUN
cana-4451	76	8	with	with	ADP
cana-4451	76	9	the	the	DET
cana-4451	76	10	gabor	gabor	PROPN
cana-4451	76	11	ternary	ternary	ADJ
cana-4451	76	12	patterns	pattern	NOUN
cana-4451	76	13	utilizing	utilize	VERB
cana-4451	76	14	a	a	DET
cana-4451	76	15	mixture	mixture	NOUN
cana-4451	76	16	of	of	ADP
cana-4451	76	17	robust	robust	ADJ
cana-4451	76	18	points	point	NOUN
cana-4451	76	19	.	.	PUNCT
cana-4451	77	1	in	in	ADP
cana-4451	77	2	several	several	ADJ
cana-4451	77	3	studies	study	NOUN
cana-4451	77	4	,	,	PUNCT
cana-4451	77	5	cnns	cnn	NOUN
cana-4451	77	6	have	have	AUX
cana-4451	77	7	been	be	AUX
cana-4451	77	8	used	use	VERB
cana-4451	77	9	to	to	PART
cana-4451	77	10	create	create	VERB
cana-4451	77	11	face	face	NOUN
cana-4451	77	12	representations	representation	NOUN
cana-4451	77	13	and	and	CCONJ
cana-4451	77	14	extract	extract	VERB
cana-4451	77	15	complementary	complementary	ADJ
cana-4451	77	16	facial	facial	ADJ
cana-4451	77	17	information	information	NOUN
cana-4451	77	18	from	from	ADP
cana-4451	77	19	the	the	DET
cana-4451	77	20	deep	deep	ADJ
cana-4451	77	21	neural	neural	ADJ
cana-4451	77	22	network	network	NOUN
cana-4451	77	23	's	's	PART
cana-4451	77	24	layers	layer	NOUN
cana-4451	77	25	,	,	PUNCT
cana-4451	77	26	producing	produce	VERB
cana-4451	77	27	impressively	impressively	ADV
cana-4451	77	28	accurate	accurate	ADJ
cana-4451	77	29	results	result	NOUN
cana-4451	77	30	[	[	X
cana-4451	77	31	16	16	NUM
cana-4451	77	32	]	]	PUNCT
cana-4451	77	33	.	.	PUNCT
cana-4451	78	1	additionally	additionally	ADV
cana-4451	78	2	,	,	PUNCT
cana-4451	78	3	a	a	DET
cana-4451	78	4	previous	previous	ADJ
cana-4451	78	5	study	study	NOUN
cana-4451	78	6	information	information	NOUN
cana-4451	78	7	of	of	ADP
cana-4451	78	8	facial	facial	ADJ
cana-4451	78	9	recognition	recognition	NOUN
cana-4451	78	10	by	by	ADP
cana-4451	78	11	analysing	analyse	VERB
cana-4451	78	12	skull	skull	NOUN
cana-4451	78	13	-	-	PUNCT
cana-4451	78	14	objects	object	NOUN
cana-4451	78	15	in	in	ADP
cana-4451	78	16	various	various	ADJ
cana-4451	78	17	locations	location	NOUN
cana-4451	78	18	.	.	PUNCT
cana-4451	79	1	in	in	ADP
cana-4451	79	2	cases	case	NOUN
cana-4451	79	3	involving	involve	VERB
cana-4451	79	4	missing	miss	VERB
cana-4451	79	5	persons	person	NOUN
cana-4451	79	6	,	,	PUNCT
cana-4451	79	7	forensic	forensic	ADJ
cana-4451	79	8	experts	expert	NOUN
cana-4451	79	9	use	use	VERB
cana-4451	79	10	skulls	skull	NOUN
cana-4451	79	11	and	and	CCONJ
cana-4451	79	12	bones	bone	NOUN
cana-4451	79	13	to	to	PART
cana-4451	79	14	rebuild	rebuild	VERB
cana-4451	79	15	a	a	DET
cana-4451	79	16	person	person	NOUN
cana-4451	79	17	's	's	PART
cana-4451	79	18	face	face	NOUN
cana-4451	79	19	and	and	CCONJ
cana-4451	79	20	determine	determine	VERB
cana-4451	79	21	their	their	PRON
cana-4451	79	22	sex	sex	NOUN
cana-4451	79	23	.	.	PUNCT
cana-4451	80	1	discovering	discover	VERB
cana-4451	80	2	craniofacial	craniofacial	ADJ
cana-4451	80	3	superimposition	superimposition	NOUN
cana-4451	80	4	can	can	AUX
cana-4451	80	5	yield	yield	VERB
cana-4451	80	6	exact	exact	ADJ
cana-4451	80	7	identification	identification	NOUN
cana-4451	80	8	and	and	CCONJ
cana-4451	80	9	forensic	forensic	ADJ
cana-4451	80	10	proof	proof	NOUN
cana-4451	80	11	of	of	ADP
cana-4451	80	12	a	a	DET
cana-4451	80	13	living	live	VERB
cana-4451	80	14	person	person	NOUN
cana-4451	80	15	's	's	PART
cana-4451	80	16	sex	sex	NOUN
cana-4451	80	17	..	..	PUNCT
cana-4451	80	18	we	we	PRON
cana-4451	80	19	can	can	AUX
cana-4451	80	20	also	also	ADV
cana-4451	80	21	learn	learn	VERB
cana-4451	80	22	about	about	ADP
cana-4451	80	23	the	the	DET
cana-4451	80	24	food	food	NOUN
cana-4451	80	25	we	we	PRON
cana-4451	80	26	eat	eat	VERB
cana-4451	80	27	from	from	ADP
cana-4451	80	28	the	the	DET
cana-4451	80	29	structure	structure	NOUN
cana-4451	80	30	of	of	ADP
cana-4451	80	31	our	our	PRON
cana-4451	80	32	teeth	tooth	NOUN
cana-4451	80	33	.	.	PUNCT
cana-4451	81	1	skeletal	skeletal	ADJ
cana-4451	81	2	residue	residue	NOUN
cana-4451	81	3	serves	serve	VERB
cana-4451	81	4	as	as	ADP
cana-4451	81	5	the	the	DET
cana-4451	81	6	basis	basis	NOUN
cana-4451	81	7	for	for	ADP
cana-4451	81	8	craniofacial	craniofacial	ADJ
cana-4451	81	9	superimposition	superimposition	NOUN
cana-4451	81	10	and	and	CCONJ
cana-4451	81	11	may	may	AUX
cana-4451	81	12	produce	produce	VERB
cana-4451	81	13	forensic	forensic	ADJ
cana-4451	81	14	artifacts	artifact	NOUN
cana-4451	81	15	prior	prior	ADV
cana-4451	81	16	to	to	ADP
cana-4451	81	17	identification	identification	NOUN
cana-4451	81	18	.	.	PUNCT
cana-4451	82	1	professionals	professional	NOUN
cana-4451	82	2	therefore	therefore	ADV
cana-4451	82	3	employ	employ	VERB
cana-4451	82	4	the	the	DET
cana-4451	82	5	aforementioned	aforementioned	ADJ
cana-4451	82	6	techniques	technique	NOUN
cana-4451	82	7	for	for	ADP
cana-4451	82	8	applying	apply	VERB
cana-4451	82	9	the	the	DET
cana-4451	82	10	skull	skull	NOUN
cana-4451	82	11	overlay	overlay	NOUN
cana-4451	82	12	[	[	X
cana-4451	82	13	17	17	NUM
cana-4451	82	14	]	]	PUNCT
cana-4451	82	15	.	.	PUNCT
cana-4451	83	1	the	the	DET
cana-4451	83	2	methodology	methodology	NOUN
cana-4451	83	3	of	of	ADP
cana-4451	83	4	digital	digital	ADJ
cana-4451	83	5	forensic	forensic	ADJ
cana-4451	83	6	anthropology	anthropology	NOUN
cana-4451	83	7	is	be	AUX
cana-4451	83	8	founded	found	VERB
cana-4451	83	9	on	on	ADP
cana-4451	83	10	a	a	DET
cana-4451	83	11	distinct	distinct	ADJ
cana-4451	83	12	computational	computational	ADJ
cana-4451	83	13	approach	approach	NOUN
cana-4451	83	14	bewes	bewes	NOUN
cana-4451	83	15	et	et	NOUN
cana-4451	83	16	al.[18	al.[18	PROPN
cana-4451	83	17	]	]	PUNCT
cana-4451	83	18	employed	employ	VERB
cana-4451	83	19	nn	nn	PART
cana-4451	83	20	to	to	PART
cana-4451	83	21	infer	infer	VERB
cana-4451	83	22	sex	sex	NOUN
cana-4451	83	23	from	from	ADP
cana-4451	83	24	human	human	ADJ
cana-4451	83	25	skulls	skull	NOUN
cana-4451	83	26	[	[	X
cana-4451	83	27	19	19	NUM
cana-4451	83	28	]	]	PUNCT
cana-4451	83	29	.	.	PUNCT
cana-4451	84	1	furthermore	furthermore	ADV
cana-4451	84	2	,	,	PUNCT
cana-4451	84	3	walker	walker	PROPN
cana-4451	85	1	[	[	X
cana-4451	85	2	20	20	NUM
cana-4451	85	3	]	]	PUNCT
cana-4451	85	4	developed	develop	VERB
cana-4451	85	5	an	an	DET
cana-4451	85	6	algorithmic	algorithmic	ADJ
cana-4451	85	7	categorization	categorization	NOUN
cana-4451	85	8	technique	technique	NOUN
cana-4451	85	9	.	.	PUNCT
cana-4451	86	1	the	the	DET
cana-4451	86	2	majority	majority	NOUN
cana-4451	86	3	of	of	ADP
cana-4451	86	4	the	the	DET
cana-4451	86	5	aforementioned	aforementioned	ADJ
cana-4451	86	6	research	research	NOUN
cana-4451	86	7	demonstrate	demonstrate	VERB
cana-4451	86	8	that	that	SCONJ
cana-4451	86	9	automatic	automatic	ADJ
cana-4451	86	10	face	face	NOUN
cana-4451	86	11	recognition	recognition	NOUN
cana-4451	86	12	mostly	mostly	ADV
cana-4451	86	13	concentrates	concentrate	VERB
cana-4451	86	14	on	on	ADP
cana-4451	86	15	evaluating	evaluate	VERB
cana-4451	86	16	data	datum	NOUN
cana-4451	86	17	from	from	ADP
cana-4451	86	18	live	live	ADJ
cana-4451	86	19	individuals	individual	NOUN
cana-4451	86	20	,	,	PUNCT
cana-4451	86	21	whether	whether	SCONJ
cana-4451	86	22	they	they	PRON
cana-4451	86	23	be	be	VERB
cana-4451	86	24	digital	digital	ADJ
cana-4451	86	25	camera	camera	NOUN
cana-4451	86	26	or	or	CCONJ
cana-4451	86	27	ct	ct	NUM
cana-4451	86	28	images	image	NOUN
cana-4451	86	29	[	[	X
cana-4451	86	30	19	19	NUM
cana-4451	86	31	]	]	PUNCT
cana-4451	86	32	,	,	PUNCT
cana-4451	86	33	even	even	ADV
cana-4451	86	34	if	if	SCONJ
cana-4451	86	35	facial	facial	ADJ
cana-4451	86	36	recognition	recognition	NOUN
cana-4451	86	37	and	and	CCONJ
cana-4451	86	38	computational	computational	ADJ
cana-4451	86	39	forensics	forensic	NOUN
cana-4451	86	40	require	require	VERB
cana-4451	86	41	physical	physical	ADJ
cana-4451	86	42	characteristics	characteristic	NOUN
cana-4451	86	43	.	.	PUNCT
cana-4451	87	1	even	even	ADV
cana-4451	87	2	though	though	SCONJ
cana-4451	87	3	anthropology	anthropology	NOUN
cana-4451	87	4	has	have	AUX
cana-4451	87	5	investigated	investigate	VERB
cana-4451	87	6	gender	gender	NOUN
cana-4451	87	7	identification	identification	NOUN
cana-4451	87	8	,	,	PUNCT
cana-4451	87	9	it	it	PRON
cana-4451	87	10	appears	appear	VERB
cana-4451	87	11	that	that	SCONJ
cana-4451	87	12	there	there	PRON
cana-4451	87	13	are	be	VERB
cana-4451	87	14	n't	not	PART
cana-4451	87	15	many	many	ADJ
cana-4451	87	16	automated	automate	VERB
cana-4451	87	17	computer	computer	NOUN
cana-4451	87	18	systems	system	NOUN
cana-4451	87	19	with	with	ADP
cana-4451	87	20	powerful	powerful	ADJ
cana-4451	87	21	facial	facial	ADJ
cana-4451	87	22	recognition	recognition	NOUN
cana-4451	87	23	skills	skill	NOUN
cana-4451	87	24	[	[	X
cana-4451	87	25	21	21	NUM
cana-4451	87	26	]	]	PUNCT
cana-4451	87	27	.	.	PUNCT
cana-4451	88	1	therefore	therefore	ADV
cana-4451	88	2	,	,	PUNCT
cana-4451	88	3	our	our	PRON
cana-4451	88	4	study	study	NOUN
cana-4451	88	5	promotes	promote	VERB
cana-4451	88	6	the	the	DET
cana-4451	88	7	creation	creation	NOUN
cana-4451	88	8	of	of	ADP
cana-4451	88	9	an	an	DET
cana-4451	88	10	automated	automate	VERB
cana-4451	88	11	tool	tool	NOUN
cana-4451	88	12	by	by	ADP
cana-4451	88	13	integrating	integrate	VERB
cana-4451	88	14	expertise	expertise	NOUN
cana-4451	88	15	in	in	ADP
cana-4451	88	16	robust	robust	ADJ
cana-4451	88	17	characteristics	characteristic	NOUN
cana-4451	88	18	with	with	ADP
cana-4451	88	19	machine	machine	NOUN
cana-4451	88	20	learning	learning	NOUN
cana-4451	88	21	.	.	PUNCT
cana-4451	89	1	transfer	transfer	VERB
cana-4451	89	2	learning(tl)approaches	learning(tl)approache	NOUN
cana-4451	89	3	[	[	X
cana-4451	89	4	22	22	NUM
cana-4451	89	5	]	]	PUNCT
cana-4451	89	6	and	and	CCONJ
cana-4451	89	7	modified	modify	VERB
cana-4451	89	8	deep	deep	ADJ
cana-4451	89	9	learning	learn	VERB
cana-4451	89	10	techniques(dlt	techniques(dlt	PROPN
cana-4451	89	11	)	)	PUNCT
cana-4451	90	1	[	[	X
cana-4451	90	2	23	23	NUM
cana-4451	90	3	]	]	PUNCT
cana-4451	90	4	can	can	AUX
cana-4451	90	5	be	be	AUX
cana-4451	90	6	used	use	VERB
cana-4451	90	7	to	to	PART
cana-4451	90	8	improve	improve	VERB
cana-4451	90	9	this	this	DET
cana-4451	90	10	skull	skull	NOUN
cana-4451	90	11	categorization	categorization	NOUN
cana-4451	90	12	procedure[24	procedure[24	NOUN
cana-4451	90	13	]	]	PUNCT
cana-4451	90	14	.	.	PUNCT
cana-4451	91	1	3	3	X
cana-4451	91	2	.	.	X
cana-4451	91	3	method	method	VERB
cana-4451	91	4	the	the	DET
cana-4451	91	5	approach	approach	NOUN
cana-4451	91	6	used	use	VERB
cana-4451	91	7	in	in	ADP
cana-4451	91	8	this	this	DET
cana-4451	91	9	study	study	NOUN
cana-4451	91	10	adheres	adhere	VERB
cana-4451	91	11	to	to	ADP
cana-4451	91	12	a	a	DET
cana-4451	91	13	number	number	NOUN
cana-4451	91	14	of	of	ADP
cana-4451	91	15	crucial	crucial	ADJ
cana-4451	91	16	steps	step	NOUN
cana-4451	91	17	meant	mean	VERB
cana-4451	91	18	to	to	PART
cana-4451	91	19	effectively	effectively	ADV
cana-4451	91	20	categorize	categorize	VERB
cana-4451	91	21	skulls	skull	NOUN
cana-4451	91	22	using	use	VERB
cana-4451	91	23	digital	digital	ADJ
cana-4451	91	24	forensics	forensic	NOUN
cana-4451	91	25	methods	method	NOUN
cana-4451	91	26	.	.	PUNCT
cana-4451	92	1	skull	skull	NOUN
cana-4451	92	2	photos	photo	NOUN
cana-4451	92	3	are	be	AUX
cana-4451	92	4	first	first	ADV
cana-4451	92	5	obtained	obtain	VERB
cana-4451	92	6	from	from	ADP
cana-4451	92	7	physical	physical	ADJ
cana-4451	92	8	anthropology	anthropology	NOUN
cana-4451	92	9	collections	collection	NOUN
cana-4451	92	10	and	and	CCONJ
cana-4451	92	11	subsequently	subsequently	ADV
cana-4451	92	12	preprocessed	preprocesse	VERB
cana-4451	92	13	to	to	PART
cana-4451	92	14	enhance	enhance	VERB
cana-4451	92	15	their	their	PRON
cana-4451	92	16	quality	quality	NOUN
cana-4451	92	17	.	.	PUNCT
cana-4451	93	1	this	this	PRON
cana-4451	93	2	entails	entail	VERB
cana-4451	93	3	using	use	VERB
cana-4451	93	4	median	median	ADJ
cana-4451	93	5	filters	filter	NOUN
cana-4451	93	6	to	to	PART
cana-4451	93	7	minimize	minimize	VERB
cana-4451	93	8	noise	noise	NOUN
cana-4451	93	9	and	and	CCONJ
cana-4451	93	10	shrinking	shrink	VERB
cana-4451	93	11	the	the	DET
cana-4451	93	12	photos	photo	NOUN
cana-4451	93	13	to	to	ADP
cana-4451	93	14	a	a	DET
cana-4451	93	15	consistent	consistent	ADJ
cana-4451	93	16	256x256	256x256	PROPN
cana-4451	93	17	pixel	pixel	PROPN
cana-4451	93	18	size	size	NOUN
cana-4451	93	19	.	.	PUNCT
cana-4451	94	1	following	follow	VERB
cana-4451	94	2	a	a	DET
cana-4451	94	3	cnn	cnn	PROPN
cana-4451	94	4	model	model	NOUN
cana-4451	94	5	is	be	AUX
cana-4451	94	6	created	create	VERB
cana-4451	94	7	as	as	ADP
cana-4451	94	8	part	part	NOUN
cana-4451	94	9	of	of	ADP
cana-4451	94	10	the	the	DET
cana-4451	94	11	pre	pre	ADJ
cana-4451	94	12	-	-	ADJ
cana-4451	94	13	processing	processing	ADJ
cana-4451	94	14	procedure	procedure	NOUN
cana-4451	94	15	to	to	PART
cana-4451	94	16	classify	classify	VERB
cana-4451	94	17	skulls	skull	NOUN
cana-4451	94	18	according	accord	VERB
cana-4451	94	19	to	to	ADP
cana-4451	94	20	their	their	PRON
cana-4451	94	21	morphological	morphological	ADJ
cana-4451	94	22	traits	trait	NOUN
cana-4451	94	23	.	.	PUNCT
cana-4451	95	1	a	a	DET
cana-4451	95	2	number	number	NOUN
cana-4451	95	3	of	of	ADP
cana-4451	95	4	convolutional	convolutional	ADJ
cana-4451	95	5	and	and	CCONJ
cana-4451	95	6	pooling	pool	VERB
cana-4451	95	7	layers	layer	NOUN
cana-4451	95	8	are	be	AUX
cana-4451	95	9	incorporated	incorporate	VERB
cana-4451	95	10	into	into	ADP
cana-4451	95	11	the	the	DET
cana-4451	95	12	cnn	cnn	NOUN
cana-4451	95	13	architecture	architecture	NOUN
cana-4451	95	14	in	in	ADP
cana-4451	95	15	order	order	NOUN
cana-4451	95	16	to	to	PART
cana-4451	95	17	extract	extract	VERB
cana-4451	95	18	significant	significant	ADJ
cana-4451	95	19	characteristics	characteristic	NOUN
cana-4451	95	20	from	from	ADP
cana-4451	95	21	the	the	DET
cana-4451	95	22	images	image	NOUN
cana-4451	95	23	.	.	PUNCT
cana-4451	96	1	on	on	ADP
cana-4451	96	2	the	the	DET
cana-4451	96	3	training	training	NOUN
cana-4451	96	4	dataset	dataset	NOUN
cana-4451	96	5	,	,	PUNCT
cana-4451	96	6	data	datum	NOUN
cana-4451	96	7	augmentation	augmentation	NOUN
cana-4451	96	8	methods	method	NOUN
cana-4451	96	9	like	like	ADP
cana-4451	96	10	rotation	rotation	NOUN
cana-4451	96	11	,	,	PUNCT
cana-4451	96	12	flipping	flipping	NOUN
cana-4451	96	13	,	,	PUNCT
cana-4451	96	14	and	and	CCONJ
cana-4451	96	15	scaling	scaling	NOUN
cana-4451	96	16	are	be	AUX
cana-4451	96	17	applied	apply	VERB
cana-4451	96	18	to	to	PART
cana-4451	96	19	improve	improve	VERB
cana-4451	96	20	the	the	DET
cana-4451	96	21	model	model	NOUN
cana-4451	96	22	's	's	PART
cana-4451	96	23	dependability	dependability	NOUN
cana-4451	96	24	and	and	CCONJ
cana-4451	96	25	avoid	avoid	VERB
cana-4451	96	26	overfitting	overfitte	VERB
cana-4451	96	27	.	.	PUNCT
cana-4451	97	1	stochastic	stochastic	ADJ
cana-4451	97	2	gradient	gradient	ADJ
cana-4451	97	3	descent	descent	NOUN
cana-4451	97	4	with	with	ADP
cana-4451	97	5	momentum	momentum	NOUN
cana-4451	97	6	(	(	PUNCT
cana-4451	97	7	sgdm	sgdm	NOUN
cana-4451	97	8	)	)	PUNCT
cana-4451	97	9	is	be	AUX
cana-4451	97	10	used	use	VERB
cana-4451	97	11	for	for	ADP
cana-4451	97	12	training	training	NOUN
cana-4451	97	13	,	,	PUNCT
cana-4451	97	14	and	and	CCONJ
cana-4451	97	15	the	the	DET
cana-4451	97	16	model	model	NOUN
cana-4451	97	17	is	be	AUX
cana-4451	97	18	optimized	optimize	VERB
cana-4451	97	19	across	across	ADP
cana-4451	97	20	100	100	NUM
cana-4451	97	21	epochs	epoch	NOUN
cana-4451	97	22	at	at	ADP
cana-4451	97	23	a	a	DET
cana-4451	97	24	learning	learn	VERB
cana-4451	97	25	rate	rate	NOUN
cana-4451	97	26	-	-	PUNCT
cana-4451	97	27	lr	lr	NOUN
cana-4451	97	28	of	of	ADP
cana-4451	97	29	0.001	0.001	NUM
cana-4451	97	30	.	.	PUNCT
cana-4451	98	1	a	a	DET
cana-4451	98	2	validation	validation	NOUN
cana-4451	98	3	dataset	dataset	NOUN
cana-4451	98	4	-	-	PUNCT
cana-4451	98	5	vd	vd	NOUN
cana-4451	98	6	is	be	AUX
cana-4451	98	7	used	use	VERB
cana-4451	98	8	to	to	PART
cana-4451	98	9	assess	assess	VERB
cana-4451	98	10	the	the	DET
cana-4451	98	11	system	system	NOUN
cana-4451	98	12	's	's	PART
cana-4451	98	13	performance	performance	NOUN
cana-4451	98	14	,	,	PUNCT
cana-4451	98	15	with	with	ADP
cana-4451	98	16	an	an	DET
cana-4451	98	17	emphasis	emphasis	NOUN
cana-4451	98	18	on	on	ADP
cana-4451	98	19	measures	measure	NOUN
cana-4451	98	20	like	like	ADP
cana-4451	98	21	f1	f1	NOUN
cana-4451	98	22	score	score	NOUN
cana-4451	98	23	,	,	PUNCT
cana-4451	98	24	recall	recall	NOUN
cana-4451	98	25	,	,	PUNCT
cana-4451	98	26	accuracy	accuracy	NOUN
cana-4451	98	27	,	,	PUNCT
cana-4451	98	28	and	and	CCONJ
cana-4451	98	29	precision	precision	NOUN
cana-4451	98	30	.	.	PUNCT
cana-4451	99	1	these	these	DET
cana-4451	99	2	findings	finding	NOUN
cana-4451	99	3	support	support	VERB
cana-4451	99	4	the	the	DET
cana-4451	99	5	efficacy	efficacy	NOUN
cana-4451	99	6	of	of	ADP
cana-4451	99	7	the	the	DET
cana-4451	99	8	suggested	suggest	VERB
cana-4451	99	9	methodology	methodology	NOUN
cana-4451	99	10	shown	show	VERB
cana-4451	99	11	in	in	ADP
cana-4451	99	12	figure	figure	NOUN
cana-4451	99	13	1	1	NUM
cana-4451	99	14	.	.	PUNCT
cana-4451	100	1	show	show	VERB
cana-4451	100	2	communications	communication	NOUN
cana-4451	100	3	on	on	ADP
cana-4451	100	4	applied	apply	VERB
cana-4451	100	5	nonlinear	nonlinear	ADJ
cana-4451	100	6	analysis	analysis	NOUN
cana-4451	100	7	issn	issn	NOUN
cana-4451	100	8	:	:	PUNCT
cana-4451	100	9	1074	1074	NUM
cana-4451	100	10	-	-	PUNCT
cana-4451	100	11	133x	133x	NUM
cana-4451	100	12	vol	vol	NOUN
cana-4451	100	13	32	32	NUM
cana-4451	100	14	no	no	NOUN
cana-4451	100	15	.	.	PUNCT
cana-4451	101	1	9s	9s	NUM
cana-4451	101	2	(	(	PUNCT
cana-4451	101	3	2025	2025	NUM
cana-4451	101	4	)	)	PUNCT
cana-4451	101	5	2104	2104	NUM
cana-4451	102	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4451	103	1	that	that	SCONJ
cana-4451	103	2	it	it	PRON
cana-4451	103	3	has	have	VERB
cana-4451	103	4	the	the	DET
cana-4451	103	5	potential	potential	NOUN
cana-4451	103	6	to	to	PART
cana-4451	103	7	greatly	greatly	ADV
cana-4451	103	8	improve	improve	VERB
cana-4451	103	9	skull	skull	NOUN
cana-4451	103	10	classification	classification	NOUN
cana-4451	103	11	in	in	ADP
cana-4451	103	12	physical	physical	ADJ
cana-4451	103	13	anthropology	anthropology	NOUN
cana-4451	103	14	as	as	ADV
cana-4451	103	15	well	well	ADV
cana-4451	103	16	as	as	ADP
cana-4451	103	17	simplify	simplify	VERB
cana-4451	103	18	the	the	DET
cana-4451	103	19	administration	administration	NOUN
cana-4451	103	20	and	and	CCONJ
cana-4451	103	21	examination	examination	NOUN
cana-4451	103	22	of	of	ADP
cana-4451	103	23	anthropological	anthropological	ADJ
cana-4451	103	24	collections	collection	NOUN
cana-4451	103	25	.	.	PUNCT
cana-4451	104	1	figure	figure	NOUN
cana-4451	104	2	1	1	NUM
cana-4451	104	3	:	:	PUNCT
cana-4451	104	4	block	block	NOUN
cana-4451	104	5	diagram	diagram	NOUN
cana-4451	104	6	of	of	ADP
cana-4451	104	7	proposed	propose	VERB
cana-4451	104	8	method	method	NOUN
cana-4451	104	9	3.1	3.1	NUM
cana-4451	104	10	load	load	NOUN
cana-4451	104	11	data	datum	NOUN
cana-4451	104	12	:	:	PUNCT
cana-4451	104	13	human	human	ADJ
cana-4451	104	14	skulls	skull	NOUN
cana-4451	104	15	were	be	AUX
cana-4451	104	16	grouped	group	VERB
cana-4451	104	17	in	in	ADP
cana-4451	104	18	this	this	DET
cana-4451	104	19	study	study	NOUN
cana-4451	104	20	according	accord	VERB
cana-4451	104	21	to	to	ADP
cana-4451	104	22	their	their	PRON
cana-4451	104	23	mandibles	mandible	NOUN
cana-4451	104	24	.	.	PUNCT
cana-4451	105	1	as	as	SCONJ
cana-4451	105	2	illustrated	illustrate	VERB
cana-4451	105	3	by	by	ADP
cana-4451	105	4	photos	photo	NOUN
cana-4451	105	5	of	of	ADP
cana-4451	105	6	skulls	skull	NOUN
cana-4451	105	7	,	,	PUNCT
cana-4451	105	8	for	for	ADP
cana-4451	105	9	instance	instance	NOUN
cana-4451	105	10	the	the	DET
cana-4451	105	11	distinct	distinct	ADJ
cana-4451	105	12	features	feature	NOUN
cana-4451	105	13	of	of	ADP
cana-4451	105	14	the	the	DET
cana-4451	105	15	samples	sample	NOUN
cana-4451	105	16	(	(	PUNCT
cana-4451	105	17	not	not	PART
cana-4451	105	18	just	just	ADV
cana-4451	105	19	skulls	skull	NOUN
cana-4451	105	20	with	with	ADP
cana-4451	105	21	mandibles	mandible	NOUN
cana-4451	105	22	,	,	PUNCT
cana-4451	105	23	but	but	CCONJ
cana-4451	105	24	also	also	ADV
cana-4451	105	25	skulls	skull	NOUN
cana-4451	105	26	without	without	ADP
cana-4451	105	27	one	one	NUM
cana-4451	105	28	)	)	PUNCT
cana-4451	105	29	in	in	ADP
cana-4451	105	30	figures	figure	NOUN
cana-4451	105	31	2.a	2.a	NUM
cana-4451	105	32	and	and	CCONJ
cana-4451	105	33	2.b	2.b	NUM
cana-4451	105	34	were	be	AUX
cana-4451	105	35	verified	verify	VERB
cana-4451	105	36	and	and	CCONJ
cana-4451	105	37	contrasted	contrast	VERB
cana-4451	105	38	.	.	PUNCT
cana-4451	106	1	in	in	ADP
cana-4451	106	2	order	order	NOUN
cana-4451	106	3	to	to	PART
cana-4451	106	4	produce	produce	VERB
cana-4451	106	5	unbiased	unbiased	ADJ
cana-4451	106	6	research	research	NOUN
cana-4451	106	7	findings	finding	NOUN
cana-4451	106	8	,	,	PUNCT
cana-4451	106	9	we	we	PRON
cana-4451	106	10	took	take	VERB
cana-4451	106	11	into	into	ADP
cana-4451	106	12	account	account	NOUN
cana-4451	106	13	24	24	NUM
cana-4451	106	14	skulls.twenty	skulls.twenty	NUM
cana-4451	106	15	-	-	PUNCT
cana-4451	106	16	four	four	NUM
cana-4451	106	17	skulls	skull	NOUN
cana-4451	106	18	without	without	ADP
cana-4451	106	19	mandibles	mandible	NOUN
cana-4451	106	20	and	and	CCONJ
cana-4451	106	21	twenty	twenty	NUM
cana-4451	106	22	-	-	PUNCT
cana-4451	106	23	four	four	NUM
cana-4451	106	24	skulls	skull	NOUN
cana-4451	106	25	with	with	ADP
cana-4451	106	26	mandibles	mandible	NOUN
cana-4451	106	27	serve	serve	VERB
cana-4451	106	28	as	as	ADP
cana-4451	106	29	the	the	DET
cana-4451	106	30	basis	basis	NOUN
cana-4451	106	31	for	for	ADP
cana-4451	106	32	our	our	PRON
cana-4451	106	33	classification	classification	NOUN
cana-4451	106	34	target	target	NOUN
cana-4451	106	35	classes	class	NOUN
cana-4451	106	36	.	.	PUNCT
cana-4451	107	1	the	the	DET
cana-4451	107	2	samples	sample	NOUN
cana-4451	107	3	were	be	AUX
cana-4451	107	4	then	then	ADV
cana-4451	107	5	photographed	photograph	VERB
cana-4451	107	6	with	with	ADP
cana-4451	107	7	the	the	DET
cana-4451	107	8	aforementioned	aforementioned	ADJ
cana-4451	107	9	digital	digital	ADJ
cana-4451	107	10	camera	camera	NOUN
cana-4451	107	11	.	.	PUNCT
cana-4451	108	1	the	the	DET
cana-4451	108	2	skulls	skull	NOUN
cana-4451	108	3	were	be	AUX
cana-4451	108	4	from	from	ADP
cana-4451	108	5	airlangga	airlangga	PROPN
cana-4451	108	6	university	university	NOUN
cana-4451	108	7	's	's	PART
cana-4451	108	8	physical	physical	ADJ
cana-4451	108	9	anthropology	anthropology	NOUN
cana-4451	108	10	laboratory	laboratory	NOUN
cana-4451	108	11	.	.	PUNCT
cana-4451	109	1	you	you	PRON
cana-4451	109	2	can	can	AUX
cana-4451	109	3	access	access	VERB
cana-4451	109	4	the	the	DET
cana-4451	109	5	original	original	ADJ
cana-4451	109	6	skull	skull	NOUN
cana-4451	109	7	photos	photo	NOUN
cana-4451	109	8	at	at	ADP
cana-4451	109	9	http://fisip.unair.ac.id/researchdata/skulls/.	http://fisip.unair.ac.id/researchdata/skulls/.	NOUN
cana-4451	109	10	skulls	skull	NOUN
cana-4451	109	11	were	be	AUX
cana-4451	109	12	first	first	ADV
cana-4451	109	13	digitalized	digitalize	VERB
cana-4451	109	14	by	by	ADP
cana-4451	109	15	using	use	VERB
cana-4451	109	16	a	a	DET
cana-4451	109	17	digital	digital	ADJ
cana-4451	109	18	camera	camera	NOUN
cana-4451	109	19	to	to	PART
cana-4451	109	20	take	take	VERB
cana-4451	109	21	pictures	picture	NOUN
cana-4451	109	22	of	of	ADP
cana-4451	109	23	them	they	PRON
cana-4451	109	24	from	from	ADP
cana-4451	109	25	different	different	ADJ
cana-4451	109	26	perspectives	perspective	NOUN
cana-4451	109	27	.	.	PUNCT
cana-4451	110	1	this	this	PRON
cana-4451	110	2	could	could	AUX
cana-4451	110	3	lead	lead	VERB
cana-4451	110	4	to	to	ADP
cana-4451	110	5	pictures	picture	NOUN
cana-4451	110	6	of	of	ADP
cana-4451	110	7	the	the	DET
cana-4451	110	8	face	face	NOUN
cana-4451	110	9	or	or	CCONJ
cana-4451	110	10	the	the	DET
cana-4451	110	11	front	front	NOUN
cana-4451	110	12	,	,	PUNCT
cana-4451	110	13	left	leave	VERB
cana-4451	110	14	,	,	PUNCT
cana-4451	110	15	right	right	INTJ
cana-4451	110	16	,	,	PUNCT
cana-4451	110	17	bottom	bottom	NOUN
cana-4451	110	18	,	,	PUNCT
cana-4451	110	19	and	and	CCONJ
cana-4451	110	20	top	top	ADJ
cana-4451	110	21	regions	region	NOUN
cana-4451	110	22	.	.	PUNCT
cana-4451	111	1	after	after	ADP
cana-4451	111	2	that	that	PRON
cana-4451	111	3	,	,	PUNCT
cana-4451	111	4	the	the	DET
cana-4451	111	5	results	result	NOUN
cana-4451	111	6	were	be	AUX
cana-4451	111	7	photographed	photograph	VERB
cana-4451	111	8	and	and	CCONJ
cana-4451	111	9	stored	store	VERB
cana-4451	111	10	as	as	ADP
cana-4451	111	11	digital	digital	ADJ
cana-4451	111	12	picture	picture	NOUN
cana-4451	111	13	files	file	NOUN
cana-4451	111	14	.	.	PUNCT
cana-4451	112	1	an	an	DET
cana-4451	112	2	image	image	NOUN
cana-4451	112	3	sample	sample	NOUN
cana-4451	112	4	's	's	PART
cana-4451	112	5	region	region	NOUN
cana-4451	112	6	of	of	ADP
cana-4451	112	7	interest	interest	NOUN
cana-4451	112	8	(	(	PUNCT
cana-4451	112	9	roi	roi	NOUN
cana-4451	112	10	)	)	PUNCT
cana-4451	112	11	is	be	AUX
cana-4451	112	12	shown	show	VERB
cana-4451	112	13	in	in	ADP
cana-4451	112	14	figures	figure	NOUN
cana-4451	112	15	2.a	2.a	NUM
cana-4451	112	16	and	and	CCONJ
cana-4451	112	17	2.b	2.b	NUM
cana-4451	112	18	.	.	PUNCT
cana-4451	113	1	a	a	DET
cana-4451	113	2	group	group	NOUN
cana-4451	113	3	of	of	ADP
cana-4451	113	4	pixels	pixel	NOUN
cana-4451	113	5	in	in	ADP
cana-4451	113	6	this	this	DET
cana-4451	113	7	figure	figure	NOUN
cana-4451	113	8	refers	refer	VERB
cana-4451	113	9	to	to	ADP
cana-4451	113	10	the	the	DET
cana-4451	113	11	skull	skull	NOUN
cana-4451	113	12	region	region	NOUN
cana-4451	113	13	,	,	PUNCT
cana-4451	113	14	and	and	CCONJ
cana-4451	113	15	(	(	PUNCT
cana-4451	113	16	i	i	PROPN
cana-4451	113	17	,	,	PUNCT
cana-4451	113	18	j	j	PROPN
cana-4451	113	19	)	)	PUNCT
cana-4451	113	20	indicates	indicate	VERB
cana-4451	113	21	a	a	DET
cana-4451	113	22	spatial	spatial	ADJ
cana-4451	113	23	location	location	NOUN
cana-4451	113	24	index	index	NOUN
cana-4451	113	25	in	in	ADP
cana-4451	113	26	the	the	DET
cana-4451	113	27	image	image	NOUN
cana-4451	113	28	.	.	PUNCT
cana-4451	114	1	figure	figure	VERB
cana-4451	114	2	2.a	2.a	NUM
cana-4451	114	3	:	:	PUNCT
cana-4451	114	4	skull	skull	NOUN
cana-4451	114	5	with	with	ADP
cana-4451	114	6	mandible	mandible	ADJ
cana-4451	114	7	figure	figure	NOUN
cana-4451	114	8	2.b	2.b	NUM
cana-4451	114	9	:	:	PUNCT
cana-4451	114	10	skull	skull	NOUN
cana-4451	114	11	without	without	ADP
cana-4451	114	12	mandilble	mandilble	ADJ
cana-4451	114	13	3.2	3.2	NUM
cana-4451	114	14	image	image	NOUN
cana-4451	114	15	preprocessing	preprocessing	NOUN
cana-4451	114	16	techniques	technique	NOUN
cana-4451	114	17	:	:	PUNCT
cana-4451	114	18	image	image	NOUN
cana-4451	114	19	preprocessing	preprocessing	NOUN
cana-4451	114	20	techniques	technique	NOUN
cana-4451	114	21	include	include	VERB
cana-4451	114	22	the	the	DET
cana-4451	114	23	following	follow	VERB
cana-4451	114	24	techniques	technique	NOUN
cana-4451	114	25	which	which	PRON
cana-4451	114	26	helps	help	VERB
cana-4451	114	27	in	in	ADP
cana-4451	114	28	extracting	extract	VERB
cana-4451	114	29	the	the	DET
cana-4451	114	30	important	important	ADJ
cana-4451	114	31	features	feature	NOUN
cana-4451	114	32	for	for	ADP
cana-4451	114	33	enhancing	enhance	VERB
cana-4451	114	34	the	the	DET
cana-4451	114	35	classification	classification	NOUN
cana-4451	114	36	process	process	NOUN
cana-4451	114	37	.	.	PUNCT
cana-4451	115	1	image	image	NOUN
cana-4451	115	2	acquisition	acquisition	NOUN
cana-4451	115	3	:	:	PUNCT
cana-4451	115	4	high	high	ADJ
cana-4451	115	5	-	-	PUNCT
cana-4451	115	6	resolution	resolution	NOUN
cana-4451	115	7	skull	skull	NOUN
cana-4451	115	8	images	image	NOUN
cana-4451	115	9	in	in	ADP
cana-4451	115	10	common	common	ADJ
cana-4451	115	11	file	file	NOUN
cana-4451	115	12	types	type	NOUN
cana-4451	115	13	like	like	ADP
cana-4451	115	14	png	png	PROPN
cana-4451	115	15	,	,	PUNCT
cana-4451	115	16	jpeg	jpeg	NOUN
cana-4451	115	17	,	,	PUNCT
cana-4451	115	18	or	or	CCONJ
cana-4451	115	19	tiff	tiff	NOUN
cana-4451	115	20	can	can	AUX
cana-4451	115	21	be	be	AUX
cana-4451	115	22	imported	import	VERB
cana-4451	115	23	.	.	PUNCT
cana-4451	116	1	large	large	ADJ
cana-4451	116	2	dataset	dataset	NOUN
cana-4451	116	3	processing	processing	NOUN
cana-4451	116	4	can	can	AUX
cana-4451	116	5	be	be	AUX
cana-4451	116	6	streamlined	streamline	VERB
cana-4451	116	7	with	with	ADP
cana-4451	116	8	support	support	NOUN
cana-4451	116	9	for	for	ADP
cana-4451	116	10	batch	batch	NOUN
cana-4451	116	11	uploads	upload	NOUN
cana-4451	116	12	.	.	PUNCT
cana-4451	117	1	image	image	NOUN
cana-4451	117	2	resizing	resizing	NOUN
cana-4451	117	3	:	:	PUNCT
cana-4451	117	4	use	use	VERB
cana-4451	117	5	python	python	NOUN
cana-4451	117	6	's	's	PART
cana-4451	117	7	imresize	imresize	NOUN
cana-4451	117	8	function	function	NOUN
cana-4451	117	9	to	to	PART
cana-4451	117	10	standardize	standardize	VERB
cana-4451	117	11	image	image	NOUN
cana-4451	117	12	dimensions	dimension	NOUN
cana-4451	117	13	to	to	ADP
cana-4451	117	14	256x256	256x256	PROPN
cana-4451	117	15	pixels	pixel	NOUN
cana-4451	117	16	.	.	PUNCT
cana-4451	118	1	make	make	VERB
cana-4451	118	2	communications	communication	NOUN
cana-4451	118	3	on	on	ADP
cana-4451	118	4	applied	apply	VERB
cana-4451	118	5	nonlinear	nonlinear	ADJ
cana-4451	118	6	analysis	analysis	NOUN
cana-4451	118	7	issn	issn	NOUN
cana-4451	118	8	:	:	PUNCT
cana-4451	118	9	1074	1074	NUM
cana-4451	118	10	-	-	PUNCT
cana-4451	118	11	133x	133x	NUM
cana-4451	118	12	vol	vol	NOUN
cana-4451	118	13	32	32	NUM
cana-4451	118	14	no	no	NOUN
cana-4451	118	15	.	.	PUNCT
cana-4451	119	1	9s	9s	NUM
cana-4451	119	2	(	(	PUNCT
cana-4451	119	3	2025	2025	NUM
cana-4451	119	4	)	)	PUNCT
cana-4451	119	5	2105	2105	NUM
cana-4451	119	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4451	120	1	sure	sure	ADJ
cana-4451	120	2	the	the	DET
cana-4451	120	3	resizing	resizing	NOUN
cana-4451	120	4	process	process	NOUN
cana-4451	120	5	avoids	avoid	VERB
cana-4451	120	6	distortion	distortion	NOUN
cana-4451	120	7	or	or	CCONJ
cana-4451	120	8	artifacts	artifact	NOUN
cana-4451	120	9	while	while	SCONJ
cana-4451	120	10	maintaining	maintain	VERB
cana-4451	120	11	important	important	ADJ
cana-4451	120	12	visual	visual	ADJ
cana-4451	120	13	elements	element	NOUN
cana-4451	120	14	.	.	PUNCT
cana-4451	121	1	reduce	reduce	VERB
cana-4451	121	2	noise	noise	NOUN
cana-4451	121	3	by	by	ADP
cana-4451	121	4	using	use	VERB
cana-4451	121	5	filters	filter	NOUN
cana-4451	121	6	like	like	ADP
cana-4451	121	7	the	the	DET
cana-4451	121	8	median	median	ADJ
cana-4451	121	9	filter	filter	NOUN
cana-4451	121	10	for	for	ADP
cana-4451	121	11	salt	salt	NOUN
cana-4451	121	12	-	-	PUNCT
cana-4451	121	13	and	and	CCONJ
cana-4451	121	14	-	-	PUNCT
cana-4451	121	15	pepper	pepper	NOUN
cana-4451	121	16	noise	noise	NOUN
cana-4451	121	17	.	.	PUNCT
cana-4451	122	1	gaussian	gaussian	ADJ
cana-4451	122	2	filter	filter	NOUN
cana-4451	122	3	for	for	ADP
cana-4451	122	4	edge	edge	NOUN
cana-4451	122	5	preservation	preservation	NOUN
cana-4451	122	6	and	and	CCONJ
cana-4451	122	7	smoothing	smoothing	NOUN
cana-4451	122	8	.	.	PUNCT
cana-4451	123	1	adaptive	adaptive	ADJ
cana-4451	123	2	noise	noise	NOUN
cana-4451	123	3	reduction	reduction	NOUN
cana-4451	123	4	using	use	VERB
cana-4451	123	5	the	the	DET
cana-4451	123	6	wiener	wiener	NOUN
cana-4451	123	7	filter	filter	NOUN
cana-4451	123	8	.	.	PUNCT
cana-4451	124	1	the	the	DET
cana-4451	124	2	capacity	capacity	NOUN
cana-4451	124	3	to	to	PART
cana-4451	124	4	manage	manage	VERB
cana-4451	124	5	different	different	ADJ
cana-4451	124	6	datasets	dataset	NOUN
cana-4451	124	7	noise	noise	NOUN
cana-4451	124	8	levels	level	NOUN
cana-4451	124	9	.	.	PUNCT
cana-4451	125	1	image	image	NOUN
cana-4451	125	2	enhancement	enhancement	NOUN
cana-4451	125	3	:	:	PUNCT
cana-4451	125	4	to	to	PART
cana-4451	125	5	make	make	VERB
cana-4451	125	6	important	important	ADJ
cana-4451	125	7	details	detail	NOUN
cana-4451	125	8	more	more	ADV
cana-4451	125	9	visible	visible	ADJ
cana-4451	125	10	,	,	PUNCT
cana-4451	125	11	use	use	VERB
cana-4451	125	12	python	python	NOUN
cana-4451	125	13	's	's	PART
cana-4451	125	14	imadjust	imadjust	NOUN
cana-4451	125	15	function	function	VERB
cana-4451	125	16	to	to	PART
cana-4451	125	17	increase	increase	VERB
cana-4451	125	18	contrast	contrast	NOUN
cana-4451	125	19	.	.	PUNCT
cana-4451	126	1	to	to	PART
cana-4451	126	2	standardize	standardize	VERB
cana-4451	126	3	orientation	orientation	NOUN
cana-4451	126	4	and	and	CCONJ
cana-4451	126	5	eliminate	eliminate	VERB
cana-4451	126	6	extraneous	extraneous	ADJ
cana-4451	126	7	sections	section	NOUN
cana-4451	126	8	,	,	PUNCT
cana-4451	126	9	rotate	rotate	VERB
cana-4451	126	10	,	,	PUNCT
cana-4451	126	11	flip	flip	NOUN
cana-4451	126	12	,	,	PUNCT
cana-4451	126	13	or	or	CCONJ
cana-4451	126	14	crop	crop	NOUN
cana-4451	126	15	photos	photo	NOUN
cana-4451	126	16	.	.	PUNCT
cana-4451	127	1	a.	a.	NOUN
cana-4451	127	2	image	image	NOUN
cana-4451	127	3	resize	resize	VERB
cana-4451	127	4	in	in	ADP
cana-4451	127	5	image	image	NOUN
cana-4451	127	6	analysis	analysis	NOUN
cana-4451	127	7	,	,	PUNCT
cana-4451	127	8	resizing	resize	VERB
cana-4451	127	9	images	image	NOUN
cana-4451	127	10	is	be	AUX
cana-4451	127	11	an	an	DET
cana-4451	127	12	essential	essential	ADJ
cana-4451	127	13	preprocessing	preprocessing	NOUN
cana-4451	127	14	step	step	NOUN
cana-4451	127	15	,	,	PUNCT
cana-4451	127	16	especially	especially	ADV
cana-4451	127	17	for	for	ADP
cana-4451	127	18	applications	application	NOUN
cana-4451	127	19	like	like	ADP
cana-4451	127	20	feature	feature	NOUN
cana-4451	127	21	extraction	extraction	NOUN
cana-4451	127	22	and	and	CCONJ
cana-4451	127	23	machine	machine	NOUN
cana-4451	127	24	learning	learning	NOUN
cana-4451	127	25	.	.	PUNCT
cana-4451	128	1	the	the	DET
cana-4451	128	2	imresize	imresize	NOUN
cana-4451	128	3	function	function	NOUN
cana-4451	128	4	in	in	ADP
cana-4451	128	5	python	python	PROPN
cana-4451	128	6	allows	allow	VERB
cana-4451	128	7	you	you	PRON
cana-4451	128	8	to	to	PART
cana-4451	128	9	change	change	VERB
cana-4451	128	10	an	an	DET
cana-4451	128	11	image	image	NOUN
cana-4451	128	12	's	's	PART
cana-4451	128	13	size	size	NOUN
cana-4451	128	14	while	while	SCONJ
cana-4451	128	15	maintaining	maintain	VERB
cana-4451	128	16	important	important	ADJ
cana-4451	128	17	visual	visual	ADJ
cana-4451	128	18	elements	element	NOUN
cana-4451	128	19	.	.	PUNCT
cana-4451	129	1	several	several	ADJ
cana-4451	129	2	interpolation	interpolation	NOUN
cana-4451	129	3	techniques	technique	NOUN
cana-4451	129	4	,	,	PUNCT
cana-4451	129	5	such	such	ADJ
cana-4451	129	6	as	as	ADP
cana-4451	129	7	nearest	nearest	ADJ
cana-4451	129	8	-	-	PUNCT
cana-4451	129	9	neighbor	neighbor	NOUN
cana-4451	129	10	,	,	PUNCT
cana-4451	129	11	bilinear	bilinear	NOUN
cana-4451	129	12	,	,	PUNCT
cana-4451	129	13	and	and	CCONJ
cana-4451	129	14	bicubic	bicubic	NOUN
cana-4451	129	15	,	,	PUNCT
cana-4451	129	16	are	be	AUX
cana-4451	129	17	supported	support	VERB
cana-4451	129	18	by	by	ADP
cana-4451	129	19	this	this	DET
cana-4451	129	20	function	function	NOUN
cana-4451	129	21	and	and	CCONJ
cana-4451	129	22	dictate	dictate	VERB
cana-4451	129	23	how	how	SCONJ
cana-4451	129	24	pixel	pixel	ADJ
cana-4451	129	25	values	value	NOUN
cana-4451	129	26	are	be	AUX
cana-4451	129	27	updated	update	VERB
cana-4451	129	28	during	during	ADP
cana-4451	129	29	scaling	scaling	NOUN
cana-4451	129	30	.	.	PUNCT
cana-4451	130	1	bilinear	bilinear	NOUN
cana-4451	130	2	and	and	CCONJ
cana-4451	130	3	bicubic	bicubic	NOUN
cana-4451	130	4	techniques	technique	NOUN
cana-4451	130	5	give	give	VERB
cana-4451	130	6	smoother	smooth	ADJ
cana-4451	130	7	results	result	NOUN
cana-4451	130	8	than	than	ADP
cana-4451	130	9	nearest	near	ADJ
cana-4451	130	10	-	-	PUNCT
cana-4451	130	11	neighbor	neighbor	NOUN
cana-4451	130	12	interpolation	interpolation	NOUN
cana-4451	130	13	,	,	PUNCT
cana-4451	130	14	which	which	PRON
cana-4451	130	15	is	be	AUX
cana-4451	130	16	computationally	computationally	ADV
cana-4451	130	17	efficient	efficient	ADJ
cana-4451	130	18	but	but	CCONJ
cana-4451	130	19	may	may	AUX
cana-4451	130	20	result	result	VERB
cana-4451	130	21	in	in	ADP
cana-4451	130	22	blocky	blocky	ADJ
cana-4451	130	23	artifacts	artifact	NOUN
cana-4451	130	24	.	.	PUNCT
cana-4451	131	1	for	for	ADP
cana-4451	131	2	classification	classification	NOUN
cana-4451	131	3	tasks	task	NOUN
cana-4451	131	4	in	in	ADP
cana-4451	131	5	particular	particular	ADJ
cana-4451	131	6	,	,	PUNCT
cana-4451	131	7	consistent	consistent	ADJ
cana-4451	131	8	resizing	resizing	NOUN
cana-4451	131	9	guarantees	guarantee	NOUN
cana-4451	131	10	consistent	consistent	ADJ
cana-4451	131	11	input	input	NOUN
cana-4451	131	12	dimensions	dimension	NOUN
cana-4451	131	13	across	across	ADP
cana-4451	131	14	datasets	dataset	NOUN
cana-4451	131	15	.	.	PUNCT
cana-4451	132	1	python	python	PROPN
cana-4451	132	2	's	's	PART
cana-4451	132	3	powerful	powerful	ADJ
cana-4451	132	4	scaling	scale	VERB
cana-4451	132	5	capabilities	capability	NOUN
cana-4451	132	6	preserve	preserve	VERB
cana-4451	132	7	the	the	DET
cana-4451	132	8	original	original	ADJ
cana-4451	132	9	images	image	NOUN
cana-4451	132	10	'	'	PART
cana-4451	132	11	key	key	ADJ
cana-4451	132	12	features	feature	NOUN
cana-4451	132	13	and	and	CCONJ
cana-4451	132	14	quality	quality	NOUN
cana-4451	132	15	,	,	PUNCT
cana-4451	132	16	effectively	effectively	ADV
cana-4451	132	17	preparing	prepare	VERB
cana-4451	132	18	them	they	PRON
cana-4451	132	19	for	for	ADP
cana-4451	132	20	further	further	ADJ
cana-4451	132	21	analysis	analysis	NOUN
cana-4451	132	22	.	.	PUNCT
cana-4451	133	1	b.	b.	PROPN
cana-4451	133	2	noise	noise	NOUN
cana-4451	133	3	removal	removal	NOUN
cana-4451	133	4	by	by	ADP
cana-4451	133	5	removing	remove	VERB
cana-4451	133	6	undesired	undesired	ADJ
cana-4451	133	7	distortions	distortion	NOUN
cana-4451	133	8	brought	bring	VERB
cana-4451	133	9	on	on	ADP
cana-4451	133	10	by	by	ADP
cana-4451	133	11	external	external	ADJ
cana-4451	133	12	influences	influence	NOUN
cana-4451	133	13	or	or	CCONJ
cana-4451	133	14	imaging	imaging	NOUN
cana-4451	133	15	settings	setting	NOUN
cana-4451	133	16	,	,	PUNCT
cana-4451	133	17	noise	noise	NOUN
cana-4451	133	18	removal	removal	NOUN
cana-4451	133	19	is	be	AUX
cana-4451	133	20	an	an	DET
cana-4451	133	21	essential	essential	ADJ
cana-4451	133	22	step	step	NOUN
cana-4451	133	23	in	in	ADP
cana-4451	133	24	enhancing	enhance	VERB
cana-4451	133	25	image	image	NOUN
cana-4451	133	26	quality	quality	NOUN
cana-4451	133	27	.	.	PUNCT
cana-4451	134	1	analysis	analysis	NOUN
cana-4451	134	2	and	and	CCONJ
cana-4451	134	3	understanding	understanding	NOUN
cana-4451	134	4	may	may	AUX
cana-4451	134	5	be	be	AUX
cana-4451	134	6	hampered	hamper	VERB
cana-4451	134	7	by	by	ADP
cana-4451	134	8	noise	noise	NOUN
cana-4451	134	9	,	,	PUNCT
cana-4451	134	10	which	which	PRON
cana-4451	134	11	appears	appear	VERB
cana-4451	134	12	as	as	ADP
cana-4451	134	13	erratic	erratic	ADJ
cana-4451	134	14	changes	change	NOUN
cana-4451	134	15	in	in	ADP
cana-4451	134	16	color	color	NOUN
cana-4451	134	17	or	or	CCONJ
cana-4451	134	18	brightness	brightness	NOUN
cana-4451	134	19	.	.	PUNCT
cana-4451	135	1	gaussian	gaussian	ADJ
cana-4451	135	2	,	,	PUNCT
cana-4451	135	3	salt	salt	NOUN
cana-4451	135	4	-	-	PUNCT
cana-4451	135	5	and	and	CCONJ
cana-4451	135	6	-	-	PUNCT
cana-4451	135	7	pepper	pepper	NOUN
cana-4451	135	8	,	,	PUNCT
cana-4451	135	9	and	and	CCONJ
cana-4451	135	10	speckle	speckle	NOUN
cana-4451	135	11	noise	noise	NOUN
cana-4451	135	12	are	be	AUX
cana-4451	135	13	examples	example	NOUN
cana-4451	135	14	of	of	ADP
cana-4451	135	15	common	common	ADJ
cana-4451	135	16	noise	noise	NOUN
cana-4451	135	17	types	type	NOUN
cana-4451	135	18	.	.	PUNCT
cana-4451	136	1	pythin	pythin	PROPN
cana-4451	136	2	offers	offer	VERB
cana-4451	136	3	a	a	DET
cana-4451	136	4	variety	variety	NOUN
cana-4451	136	5	of	of	ADP
cana-4451	136	6	noise	noise	NOUN
cana-4451	136	7	reduction	reduction	NOUN
cana-4451	136	8	techniques	technique	NOUN
cana-4451	136	9	,	,	PUNCT
cana-4451	136	10	including	include	VERB
cana-4451	136	11	gaussian	gaussian	ADJ
cana-4451	136	12	filtering	filtering	NOUN
cana-4451	136	13	,	,	PUNCT
cana-4451	136	14	which	which	PRON
cana-4451	136	15	smoothes	smooth	VERB
cana-4451	136	16	images	image	NOUN
cana-4451	136	17	while	while	SCONJ
cana-4451	136	18	maintaining	maintain	VERB
cana-4451	136	19	edges	edge	NOUN
cana-4451	136	20	,	,	PUNCT
cana-4451	136	21	and	and	CCONJ
cana-4451	136	22	median	median	ADJ
cana-4451	136	23	filtering	filtering	NOUN
cana-4451	136	24	,	,	PUNCT
cana-4451	136	25	which	which	PRON
cana-4451	136	26	successfully	successfully	ADV
cana-4451	136	27	handles	handle	VERB
cana-4451	136	28	salt	salt	NOUN
cana-4451	136	29	-	-	PUNCT
cana-4451	136	30	and	and	CCONJ
cana-4451	136	31	-	-	PUNCT
cana-4451	136	32	pepper	pepper	NOUN
cana-4451	136	33	noise	noise	NOUN
cana-4451	136	34	.	.	PUNCT
cana-4451	137	1	adaptive	adaptive	ADJ
cana-4451	137	2	filters	filter	NOUN
cana-4451	137	3	,	,	PUNCT
cana-4451	137	4	such	such	ADJ
cana-4451	137	5	as	as	ADP
cana-4451	137	6	wiener	wiener	NOUN
cana-4451	137	7	filters	filter	NOUN
cana-4451	137	8	,	,	PUNCT
cana-4451	137	9	balance	balance	NOUN
cana-4451	137	10	noise	noise	NOUN
cana-4451	137	11	reduction	reduction	NOUN
cana-4451	137	12	and	and	CCONJ
cana-4451	137	13	detail	detail	NOUN
cana-4451	137	14	retention	retention	NOUN
cana-4451	137	15	by	by	ADP
cana-4451	137	16	taking	take	VERB
cana-4451	137	17	into	into	ADP
cana-4451	137	18	account	account	NOUN
cana-4451	137	19	local	local	ADJ
cana-4451	137	20	image	image	NOUN
cana-4451	137	21	variance	variance	NOUN
cana-4451	137	22	.	.	PUNCT
cana-4451	138	1	these	these	DET
cana-4451	138	2	methods	method	NOUN
cana-4451	138	3	provide	provide	VERB
cana-4451	138	4	images	image	NOUN
cana-4451	138	5	that	that	PRON
cana-4451	138	6	are	be	AUX
cana-4451	138	7	sharper	sharp	ADJ
cana-4451	138	8	and	and	CCONJ
cana-4451	138	9	more	more	ADV
cana-4451	138	10	accurate	accurate	ADJ
cana-4451	138	11	,	,	PUNCT
cana-4451	138	12	which	which	PRON
cana-4451	138	13	improves	improve	VERB
cana-4451	138	14	the	the	DET
cana-4451	138	15	dependability	dependability	NOUN
cana-4451	138	16	of	of	ADP
cana-4451	138	17	later	later	ADJ
cana-4451	138	18	processes	process	NOUN
cana-4451	138	19	like	like	ADP
cana-4451	138	20	feature	feature	NOUN
cana-4451	138	21	extraction	extraction	NOUN
cana-4451	138	22	and	and	CCONJ
cana-4451	138	23	classification	classification	NOUN
cana-4451	138	24	.	.	PUNCT
cana-4451	139	1	image	image	NOUN
cana-4451	139	2	processing	processing	NOUN
cana-4451	139	3	performance	performance	NOUN
cana-4451	139	4	is	be	AUX
cana-4451	139	5	greatly	greatly	ADV
cana-4451	139	6	improved	improve	VERB
cana-4451	139	7	by	by	ADP
cana-4451	139	8	noise	noise	NOUN
cana-4451	139	9	removal	removal	NOUN
cana-4451	139	10	as	as	SCONJ
cana-4451	139	11	shown	show	VERB
cana-4451	139	12	in	in	ADP
cana-4451	139	13	figure	figure	NOUN
cana-4451	139	14	3.a	3.a	NUM
cana-4451	139	15	.	.	PUNCT
cana-4451	140	1	c.	c.	NOUN
cana-4451	140	2	image	image	NOUN
cana-4451	140	3	enhancement	enhancement	NOUN
cana-4451	140	4	and	and	CCONJ
cana-4451	140	5	augmentation	augmentation	NOUN
cana-4451	140	6	in	in	ADP
cana-4451	140	7	python	python	NOUN
cana-4451	140	8	image	image	NOUN
cana-4451	140	9	processing	processing	NOUN
cana-4451	140	10	,	,	PUNCT
cana-4451	140	11	improving	improve	VERB
cana-4451	140	12	picture	picture	NOUN
cana-4451	140	13	contrast	contrast	NOUN
cana-4451	140	14	is	be	AUX
cana-4451	140	15	a	a	DET
cana-4451	140	16	basic	basic	ADJ
cana-4451	140	17	operation	operation	NOUN
cana-4451	140	18	that	that	PRON
cana-4451	140	19	is	be	AUX
cana-4451	140	20	frequently	frequently	ADV
cana-4451	140	21	accomplished	accomplish	VERB
cana-4451	140	22	with	with	ADP
cana-4451	140	23	the	the	DET
cana-4451	140	24	imadjust	imadjust	NOUN
cana-4451	140	25	function	function	NOUN
cana-4451	140	26	.	.	PUNCT
cana-4451	141	1	this	this	DET
cana-4451	141	2	utility	utility	NOUN
cana-4451	141	3	enhances	enhance	VERB
cana-4451	141	4	the	the	DET
cana-4451	141	5	visual	visual	ADJ
cana-4451	141	6	quality	quality	NOUN
cana-4451	141	7	of	of	ADP
cana-4451	141	8	an	an	DET
cana-4451	141	9	image	image	NOUN
cana-4451	141	10	by	by	ADP
cana-4451	141	11	remapping	remappe	VERB
cana-4451	141	12	pixel	pixel	PROPN
cana-4451	141	13	intensity	intensity	NOUN
cana-4451	141	14	values	value	NOUN
cana-4451	141	15	to	to	ADP
cana-4451	141	16	a	a	DET
cana-4451	141	17	new	new	ADJ
cana-4451	141	18	range	range	NOUN
cana-4451	141	19	.	.	PUNCT
cana-4451	142	1	a	a	DET
cana-4451	142	2	more	more	ADV
cana-4451	142	3	balanced	balanced	ADJ
cana-4451	142	4	and	and	CCONJ
cana-4451	142	5	aesthetically	aesthetically	ADV
cana-4451	142	6	pleasing	pleasing	ADJ
cana-4451	142	7	image	image	NOUN
cana-4451	142	8	is	be	AUX
cana-4451	142	9	produced	produce	VERB
cana-4451	142	10	by	by	ADP
cana-4451	142	11	brightening	brighten	VERB
cana-4451	142	12	low	low	ADJ
cana-4451	142	13	-	-	PUNCT
cana-4451	142	14	intensity	intensity	NOUN
cana-4451	142	15	pixels	pixel	NOUN
cana-4451	142	16	and	and	CCONJ
cana-4451	142	17	stretching	stretch	VERB
cana-4451	142	18	or	or	CCONJ
cana-4451	142	19	compressing	compress	VERB
cana-4451	142	20	high	high	ADJ
cana-4451	142	21	-	-	PUNCT
cana-4451	142	22	intensity	intensity	NOUN
cana-4451	142	23	pixels	pixel	NOUN
cana-4451	142	24	.	.	PUNCT
cana-4451	143	1	the	the	DET
cana-4451	143	2	function	function	NOUN
cana-4451	143	3	enables	enable	VERB
cana-4451	143	4	gamma	gamma	NOUN
cana-4451	143	5	correction	correction	NOUN
cana-4451	143	6	for	for	ADP
cana-4451	143	7	non	non	ADJ
cana-4451	143	8	-	-	ADJ
cana-4451	143	9	linear	linear	ADJ
cana-4451	143	10	changes	change	NOUN
cana-4451	143	11	and	and	CCONJ
cana-4451	143	12	permits	permit	VERB
cana-4451	143	13	configurable	configurable	ADJ
cana-4451	143	14	input	input	NOUN
cana-4451	143	15	and	and	CCONJ
cana-4451	143	16	output	output	NOUN
cana-4451	143	17	intensity	intensity	NOUN
cana-4451	143	18	ranges	range	VERB
cana-4451	143	19	.	.	PUNCT
cana-4451	144	1	this	this	PRON
cana-4451	144	2	is	be	AUX
cana-4451	144	3	especially	especially	ADV
cana-4451	144	4	helpful	helpful	ADJ
cana-4451	144	5	for	for	ADP
cana-4451	144	6	repairing	repair	VERB
cana-4451	144	7	photos	photo	NOUN
cana-4451	144	8	that	that	PRON
cana-4451	144	9	have	have	VERB
cana-4451	144	10	low	low	ADJ
cana-4451	144	11	contrast	contrast	NOUN
cana-4451	144	12	because	because	SCONJ
cana-4451	144	13	to	to	PART
cana-4451	144	14	bad	bad	ADJ
cana-4451	144	15	lighting	lighting	NOUN
cana-4451	144	16	or	or	CCONJ
cana-4451	144	17	deterioration	deterioration	NOUN
cana-4451	144	18	over	over	ADP
cana-4451	144	19	time	time	NOUN
cana-4451	144	20	.	.	PUNCT
cana-4451	145	1	applications	application	NOUN
cana-4451	145	2	include	include	VERB
cana-4451	145	3	photographs	photograph	NOUN
cana-4451	145	4	with	with	ADP
cana-4451	145	5	uneven	uneven	ADJ
cana-4451	145	6	illumination	illumination	NOUN
cana-4451	145	7	,	,	PUNCT
cana-4451	145	8	satellite	satellite	NOUN
cana-4451	145	9	imagery	imagery	NOUN
cana-4451	145	10	,	,	PUNCT
cana-4451	145	11	and	and	CCONJ
cana-4451	145	12	medical	medical	ADJ
cana-4451	145	13	imaging	imaging	NOUN
cana-4451	145	14	.	.	PUNCT
cana-4451	146	1	sharper	sharp	ADJ
cana-4451	146	2	and	and	CCONJ
cana-4451	146	3	more	more	ADV
cana-4451	146	4	detailed	detailed	ADJ
cana-4451	146	5	images	image	NOUN
cana-4451	146	6	are	be	AUX
cana-4451	146	7	produced	produce	VERB
cana-4451	146	8	by	by	ADP
cana-4451	146	9	imadjust	imadjust	PROPN
cana-4451	146	10	,	,	PUNCT
cana-4451	146	11	which	which	PRON
cana-4451	146	12	accentuates	accentuate	VERB
cana-4451	146	13	important	important	ADJ
cana-4451	146	14	features	feature	NOUN
cana-4451	146	15	and	and	CCONJ
cana-4451	146	16	improves	improve	VERB
cana-4451	146	17	visibility	visibility	NOUN
cana-4451	146	18	by	by	ADP
cana-4451	146	19	redistributing	redistribute	VERB
cana-4451	146	20	pixel	pixel	ADJ
cana-4451	146	21	values	value	NOUN
cana-4451	146	22	to	to	PART
cana-4451	146	23	make	make	VERB
cana-4451	146	24	the	the	DET
cana-4451	146	25	most	most	ADJ
cana-4451	146	26	of	of	ADP
cana-4451	146	27	the	the	DET
cana-4451	146	28	available	available	ADJ
cana-4451	146	29	intensity	intensity	NOUN
cana-4451	146	30	range	range	NOUN
cana-4451	146	31	as	as	SCONJ
cana-4451	146	32	shown	show	VERB
cana-4451	146	33	in	in	ADP
cana-4451	146	34	figure	figure	NOUN
cana-4451	146	35	3.b	3.b	NUM
cana-4451	146	36	.	.	PUNCT
cana-4451	146	37	image	image	NOUN
cana-4451	146	38	augmentation	augmentation	NOUN
cana-4451	146	39	technique	technique	NOUN
cana-4451	146	40	helps	help	VERB
cana-4451	146	41	in	in	ADP
cana-4451	146	42	creating	create	VERB
cana-4451	146	43	the	the	DET
cana-4451	146	44	images	image	NOUN
cana-4451	146	45	in	in	ADP
cana-4451	146	46	different	different	ADJ
cana-4451	146	47	angles	angle	NOUN
cana-4451	146	48	450	450	NUM
cana-4451	146	49	,	,	PUNCT
cana-4451	146	50	900	900	NUM
cana-4451	146	51	,	,	PUNCT
cana-4451	146	52	communications	communication	NOUN
cana-4451	146	53	on	on	ADP
cana-4451	146	54	applied	apply	VERB
cana-4451	146	55	nonlinear	nonlinear	ADJ
cana-4451	146	56	analysis	analysis	NOUN
cana-4451	146	57	issn	issn	NOUN
cana-4451	146	58	:	:	PUNCT
cana-4451	146	59	1074	1074	NUM
cana-4451	146	60	-	-	PUNCT
cana-4451	146	61	133x	133x	NUM
cana-4451	146	62	vol	vol	NOUN
cana-4451	146	63	32	32	NUM
cana-4451	147	1	no	no	NOUN
cana-4451	147	2	.	.	PUNCT
cana-4451	148	1	9s	9s	NUM
cana-4451	148	2	(	(	PUNCT
cana-4451	148	3	2025	2025	NUM
cana-4451	148	4	)	)	PUNCT
cana-4451	148	5	2106	2106	NUM
cana-4451	148	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4451	148	7	450	450	NUM
cana-4451	148	8	,	,	PUNCT
cana-4451	148	9	-900	-900	PROPN
cana-4451	148	10	,	,	PUNCT
cana-4451	148	11	front	front	NOUN
cana-4451	148	12	and	and	CCONJ
cana-4451	148	13	back	back	ADV
cana-4451	148	14	as	as	SCONJ
cana-4451	148	15	shown	show	VERB
cana-4451	148	16	in	in	ADP
cana-4451	148	17	the	the	DET
cana-4451	148	18	figure	figure	NOUN
cana-4451	148	19	3.c	3.c	NUM
cana-4451	148	20	.	.	PUNCT
cana-4451	149	1	figure	figure	NOUN
cana-4451	149	2	3.a	3.a	NUM
cana-4451	149	3	:	:	PUNCT
cana-4451	149	4	noise	noise	NOUN
cana-4451	149	5	removal	removal	NOUN
cana-4451	149	6	figure	figure	NOUN
cana-4451	149	7	3.b	3.b	NUM
cana-4451	149	8	:	:	PUNCT
cana-4451	149	9	restored	restore	VERB
cana-4451	149	10	image	image	NOUN
cana-4451	149	11	figure	figure	NOUN
cana-4451	149	12	3.c	3.c	NUM
cana-4451	149	13	:	:	PUNCT
cana-4451	149	14	augmented	augment	VERB
cana-4451	149	15	image	image	NOUN
cana-4451	149	16	3.3	3.3	NUM
cana-4451	149	17	convolution	convolution	NOUN
cana-4451	149	18	neural	neural	ADJ
cana-4451	149	19	network	network	NOUN
cana-4451	149	20	:	:	PUNCT
cana-4451	149	21	in	in	ADP
cana-4451	149	22	the	the	DET
cana-4451	149	23	discipline	discipline	NOUN
cana-4451	149	24	of	of	ADP
cana-4451	149	25	deep	deep	ADJ
cana-4451	149	26	learning	learning	NOUN
cana-4451	149	27	,	,	PUNCT
cana-4451	149	28	convolutional	convolutional	ADJ
cana-4451	149	29	neural	neural	ADJ
cana-4451	149	30	networks	network	NOUN
cana-4451	149	31	,	,	PUNCT
cana-4451	149	32	or	or	CCONJ
cana-4451	149	33	cnns	cnn	NOUN
cana-4451	149	34	,	,	PUNCT
cana-4451	149	35	are	be	AUX
cana-4451	149	36	essential	essential	ADJ
cana-4451	149	37	,	,	PUNCT
cana-4451	149	38	particularly	particularly	ADV
cana-4451	149	39	when	when	SCONJ
cana-4451	149	40	processing	process	VERB
cana-4451	149	41	visual	visual	ADJ
cana-4451	149	42	data	datum	NOUN
cana-4451	149	43	.	.	PUNCT
cana-4451	150	1	they	they	PRON
cana-4451	150	2	use	use	VERB
cana-4451	150	3	layers	layer	NOUN
cana-4451	150	4	to	to	PART
cana-4451	150	5	gradually	gradually	ADV
cana-4451	150	6	extract	extract	VERB
cana-4451	150	7	and	and	CCONJ
cana-4451	150	8	learn	learn	VERB
cana-4451	150	9	hierarchical	hierarchical	ADJ
cana-4451	150	10	patterns	pattern	NOUN
cana-4451	150	11	from	from	ADP
cana-4451	150	12	raw	raw	ADJ
cana-4451	150	13	pixel	pixel	PROPN
cana-4451	150	14	data	data	PROPN
cana-4451	150	15	,	,	PUNCT
cana-4451	150	16	simulating	simulate	VERB
cana-4451	150	17	the	the	DET
cana-4451	150	18	organization	organization	NOUN
cana-4451	150	19	of	of	ADP
cana-4451	150	20	the	the	DET
cana-4451	150	21	human	human	ADJ
cana-4451	150	22	visual	visual	ADJ
cana-4451	150	23	brain	brain	NOUN
cana-4451	150	24	.	.	PUNCT
cana-4451	151	1	cnns	cnns	PROPN
cana-4451	151	2	are	be	AUX
cana-4451	151	3	incredibly	incredibly	ADV
cana-4451	151	4	efficient	efficient	ADJ
cana-4451	151	5	at	at	ADP
cana-4451	151	6	tasks	task	NOUN
cana-4451	151	7	like	like	ADP
cana-4451	151	8	object	object	NOUN
cana-4451	151	9	detection	detection	NOUN
cana-4451	151	10	,	,	PUNCT
cana-4451	151	11	picture	picture	NOUN
cana-4451	151	12	classification	classification	NOUN
cana-4451	151	13	,	,	PUNCT
cana-4451	151	14	and	and	CCONJ
cana-4451	151	15	segmentation	segmentation	NOUN
cana-4451	151	16	because	because	SCONJ
cana-4451	151	17	of	of	ADP
cana-4451	151	18	these	these	DET
cana-4451	151	19	features	feature	NOUN
cana-4451	151	20	,	,	PUNCT
cana-4451	151	21	which	which	PRON
cana-4451	151	22	range	range	VERB
cana-4451	151	23	from	from	ADP
cana-4451	151	24	edges	edge	NOUN
cana-4451	151	25	and	and	CCONJ
cana-4451	151	26	textures	texture	NOUN
cana-4451	151	27	to	to	ADP
cana-4451	151	28	complicated	complicated	ADJ
cana-4451	151	29	structures	structure	NOUN
cana-4451	151	30	.	.	PUNCT
cana-4451	152	1	the	the	DET
cana-4451	152	2	deep	deep	ADJ
cana-4451	152	3	learning	learning	NOUN
cana-4451	152	4	toolbox	toolbox	NOUN
cana-4451	152	5	,	,	PUNCT
cana-4451	152	6	which	which	PRON
cana-4451	152	7	offers	offer	VERB
cana-4451	152	8	pre	pre	ADJ
cana-4451	152	9	-	-	ADJ
cana-4451	152	10	defined	define	VERB
cana-4451	152	11	layers	layer	NOUN
cana-4451	152	12	,	,	PUNCT
cana-4451	152	13	data	datum	NOUN
cana-4451	152	14	augmentation	augmentation	NOUN
cana-4451	152	15	tools	tool	NOUN
cana-4451	152	16	,	,	PUNCT
cana-4451	152	17	and	and	CCONJ
cana-4451	152	18	visualization	visualization	NOUN
cana-4451	152	19	features	feature	NOUN
cana-4451	152	20	,	,	PUNCT
cana-4451	152	21	makes	make	VERB
cana-4451	152	22	it	it	PRON
cana-4451	152	23	easy	easy	ADJ
cana-4451	152	24	to	to	PART
cana-4451	152	25	create	create	VERB
cana-4451	152	26	cnns	cnn	NOUN
cana-4451	152	27	in	in	ADP
cana-4451	152	28	python	python	PROPN
cana-4451	152	29	.	.	PUNCT
cana-4451	153	1	python	python	PROPN
cana-4451	153	2	's	's	PART
cana-4451	153	3	environment	environment	NOUN
cana-4451	153	4	is	be	AUX
cana-4451	153	5	quite	quite	ADV
cana-4451	153	6	flexible	flexible	ADJ
cana-4451	153	7	for	for	ADP
cana-4451	153	8	researchers	researcher	NOUN
cana-4451	153	9	and	and	CCONJ
cana-4451	153	10	practitioners	practitioner	NOUN
cana-4451	153	11	alike	alike	ADV
cana-4451	153	12	,	,	PUNCT
cana-4451	153	13	supporting	support	VERB
cana-4451	153	14	preprocessing	preprocessing	NOUN
cana-4451	153	15	,	,	PUNCT
cana-4451	153	16	augmentation	augmentation	NOUN
cana-4451	153	17	,	,	PUNCT
cana-4451	153	18	and	and	CCONJ
cana-4451	153	19	real	real	ADJ
cana-4451	153	20	-	-	PUNCT
cana-4451	153	21	time	time	NOUN
cana-4451	153	22	monitoring	monitoring	NOUN
cana-4451	153	23	.	.	PUNCT
cana-4451	154	1	cnns	cnns	PROPN
cana-4451	154	2	are	be	AUX
cana-4451	154	3	essential	essential	ADJ
cana-4451	154	4	to	to	ADP
cana-4451	154	5	the	the	DET
cana-4451	154	6	development	development	NOUN
cana-4451	154	7	of	of	ADP
cana-4451	154	8	autonomous	autonomous	ADJ
cana-4451	154	9	systems	system	NOUN
cana-4451	154	10	to	to	ADP
cana-4451	154	11	medical	medical	ADJ
cana-4451	154	12	diagnostics	diagnostic	NOUN
cana-4451	154	13	.	.	PUNCT
cana-4451	155	1	the	the	DET
cana-4451	155	2	intricacy	intricacy	NOUN
cana-4451	155	3	of	of	ADP
cana-4451	155	4	the	the	DET
cana-4451	155	5	application	application	NOUN
cana-4451	155	6	and	and	CCONJ
cana-4451	155	7	the	the	DET
cana-4451	155	8	dataset	dataset	NOUN
cana-4451	155	9	can	can	AUX
cana-4451	155	10	affect	affect	VERB
cana-4451	155	11	a	a	DET
cana-4451	155	12	cnn	cnn	PROPN
cana-4451	155	13	's	's	PART
cana-4451	155	14	design	design	NOUN
cana-4451	155	15	.	.	PUNCT
cana-4451	156	1	while	while	SCONJ
cana-4451	156	2	more	more	ADV
cana-4451	156	3	complicated	complicated	ADJ
cana-4451	156	4	designs	design	NOUN
cana-4451	156	5	with	with	ADP
cana-4451	156	6	many	many	ADJ
cana-4451	156	7	layers	layer	NOUN
cana-4451	156	8	are	be	AUX
cana-4451	156	9	required	require	VERB
cana-4451	156	10	for	for	ADP
cana-4451	156	11	huge	huge	ADJ
cana-4451	156	12	,	,	PUNCT
cana-4451	156	13	complex	complex	ADJ
cana-4451	156	14	datasets	dataset	NOUN
cana-4451	156	15	,	,	PUNCT
cana-4451	156	16	simpler	simple	ADJ
cana-4451	156	17	networks	network	NOUN
cana-4451	156	18	with	with	ADP
cana-4451	156	19	a	a	DET
cana-4451	156	20	few	few	ADJ
cana-4451	156	21	convolutional	convolutional	ADJ
cana-4451	156	22	layers	layer	NOUN
cana-4451	156	23	may	may	AUX
cana-4451	156	24	be	be	AUX
cana-4451	156	25	adequate	adequate	ADJ
cana-4451	156	26	for	for	ADP
cana-4451	156	27	grayscale	grayscale	NOUN
cana-4451	156	28	images	image	NOUN
cana-4451	156	29	or	or	CCONJ
cana-4451	156	30	smaller	small	ADJ
cana-4451	156	31	datasets	dataset	NOUN
cana-4451	156	32	.	.	PUNCT
cana-4451	157	1	regression	regression	NOUN
cana-4451	157	2	models	model	NOUN
cana-4451	157	3	need	need	VERB
cana-4451	157	4	a	a	DET
cana-4451	157	5	regression	regression	NOUN
cana-4451	157	6	layer	layer	NOUN
cana-4451	157	7	,	,	PUNCT
cana-4451	157	8	but	but	CCONJ
cana-4451	157	9	a	a	DET
cana-4451	157	10	softmax	softmax	NOUN
cana-4451	157	11	layer	layer	NOUN
cana-4451	157	12	and	and	CCONJ
cana-4451	157	13	a	a	DET
cana-4451	157	14	classification	classification	NOUN
cana-4451	157	15	layer	layer	NOUN
cana-4451	157	16	are	be	AUX
cana-4451	157	17	used	use	VERB
cana-4451	157	18	in	in	ADP
cana-4451	157	19	networks	network	NOUN
cana-4451	157	20	intended	intend	VERB
cana-4451	157	21	for	for	ADP
cana-4451	157	22	classification	classification	NOUN
cana-4451	157	23	.	.	PUNCT
cana-4451	158	1	a.	a.	NOUN
cana-4451	158	2	image	image	NOUN
cana-4451	158	3	input	input	NOUN
cana-4451	158	4	layer	layer	NOUN
cana-4451	158	5	:	:	PUNCT
cana-4451	158	6	a	a	DET
cana-4451	158	7	neural	neural	ADJ
cana-4451	158	8	network	network	NOUN
cana-4451	158	9	's	's	PART
cana-4451	158	10	image	image	NOUN
cana-4451	158	11	input	input	NOUN
cana-4451	158	12	layer	layer	NOUN
cana-4451	158	13	is	be	AUX
cana-4451	158	14	where	where	SCONJ
cana-4451	158	15	picture	picture	NOUN
cana-4451	158	16	data	data	NOUN
cana-4451	158	17	enters	enter	VERB
cana-4451	158	18	the	the	DET
cana-4451	158	19	system	system	NOUN
cana-4451	158	20	.	.	PUNCT
cana-4451	159	1	this	this	DET
cana-4451	159	2	layer	layer	NOUN
cana-4451	159	3	in	in	ADP
cana-4451	159	4	python	python	PROPN
cana-4451	159	5	is	be	AUX
cana-4451	159	6	essential	essential	ADJ
cana-4451	159	7	for	for	ADP
cana-4451	159	8	getting	get	VERB
cana-4451	159	9	input	input	ADJ
cana-4451	159	10	photos	photo	NOUN
cana-4451	159	11	of	of	ADP
cana-4451	159	12	different	different	ADJ
cana-4451	159	13	sizes	size	NOUN
cana-4451	159	14	and	and	CCONJ
cana-4451	159	15	formats	format	NOUN
cana-4451	159	16	ready	ready	ADJ
cana-4451	159	17	for	for	ADP
cana-4451	159	18	training	training	NOUN
cana-4451	159	19	.	.	PUNCT
cana-4451	160	1	it	it	PRON
cana-4451	160	2	guarantees	guarantee	VERB
cana-4451	160	3	compatibility	compatibility	NOUN
cana-4451	160	4	with	with	ADP
cana-4451	160	5	the	the	DET
cana-4451	160	6	network	network	NOUN
cana-4451	160	7	's	's	PART
cana-4451	160	8	structure	structure	NOUN
cana-4451	160	9	and	and	CCONJ
cana-4451	160	10	makes	make	VERB
cana-4451	160	11	it	it	PRON
cana-4451	160	12	easier	easy	ADJ
cana-4451	160	13	to	to	PART
cana-4451	160	14	consume	consume	VERB
cana-4451	160	15	augmented	augment	VERB
cana-4451	160	16	datasets	dataset	NOUN
cana-4451	160	17	.	.	PUNCT
cana-4451	161	1	additionally	additionally	ADV
cana-4451	161	2	,	,	PUNCT
cana-4451	161	3	this	this	DET
cana-4451	161	4	layer	layer	NOUN
cana-4451	161	5	supports	support	VERB
cana-4451	161	6	preprocessing	preprocessing	NOUN
cana-4451	161	7	processes	process	NOUN
cana-4451	161	8	,	,	PUNCT
cana-4451	161	9	which	which	PRON
cana-4451	161	10	improves	improve	VERB
cana-4451	161	11	how	how	SCONJ
cana-4451	161	12	well	well	ADV
cana-4451	161	13	later	late	ADJ
cana-4451	161	14	layers	layer	NOUN
cana-4451	161	15	learn	learn	VERB
cana-4451	161	16	important	important	ADJ
cana-4451	161	17	information	information	NOUN
cana-4451	161	18	.	.	PUNCT
cana-4451	162	1	it	it	PRON
cana-4451	162	2	is	be	AUX
cana-4451	162	3	essential	essential	ADJ
cana-4451	162	4	for	for	ADP
cana-4451	162	5	creating	create	VERB
cana-4451	162	6	python	python	NOUN
cana-4451	162	7	-	-	PUNCT
cana-4451	162	8	based	base	VERB
cana-4451	162	9	deep	deep	ADJ
cana-4451	162	10	learning	learning	NOUN
cana-4451	162	11	models	model	NOUN
cana-4451	162	12	due	due	ADP
cana-4451	162	13	to	to	ADP
cana-4451	162	14	its	its	PRON
cana-4451	162	15	adaptability	adaptability	NOUN
cana-4451	162	16	and	and	CCONJ
cana-4451	162	17	integration	integration	NOUN
cana-4451	162	18	features	feature	NOUN
cana-4451	162	19	,	,	PUNCT
cana-4451	162	20	which	which	PRON
cana-4451	162	21	greatly	greatly	ADV
cana-4451	162	22	streamline	streamline	VERB
cana-4451	162	23	the	the	DET
cana-4451	162	24	management	management	NOUN
cana-4451	162	25	of	of	ADP
cana-4451	162	26	various	various	ADJ
cana-4451	162	27	datasets	dataset	NOUN
cana-4451	162	28	.	.	PUNCT
cana-4451	163	1	b.	b.	PROPN
cana-4451	163	2	convolutional	convolutional	ADJ
cana-4451	163	3	layer	layer	NOUN
cana-4451	163	4	the	the	DET
cana-4451	163	5	important	important	ADJ
cana-4451	163	6	layer	layer	NOUN
cana-4451	163	7	of	of	ADP
cana-4451	163	8	a	a	DET
cana-4451	163	9	cnn	cnn	NOUN
cana-4451	163	10	is	be	AUX
cana-4451	163	11	the	the	DET
cana-4451	163	12	convolutional	convolutional	ADJ
cana-4451	163	13	layer	layer	NOUN
cana-4451	163	14	,	,	PUNCT
cana-4451	163	15	which	which	PRON
cana-4451	163	16	extracts	extract	VERB
cana-4451	163	17	localized	localized	ADJ
cana-4451	163	18	features	feature	NOUN
cana-4451	163	19	from	from	ADP
cana-4451	163	20	2d	2d	NUM
cana-4451	163	21	input	input	NOUN
cana-4451	163	22	data	datum	NOUN
cana-4451	163	23	by	by	ADP
cana-4451	163	24	applying	apply	VERB
cana-4451	163	25	sliding	slide	VERB
cana-4451	163	26	filters	filter	NOUN
cana-4451	163	27	.	.	PUNCT
cana-4451	164	1	every	every	DET
cana-4451	164	2	filter	filter	NOUN
cana-4451	164	3	is	be	AUX
cana-4451	164	4	a	a	DET
cana-4451	164	5	collection	collection	NOUN
cana-4451	164	6	of	of	ADP
cana-4451	164	7	weights	weight	NOUN
cana-4451	164	8	that	that	PRON
cana-4451	164	9	travels	travel	VERB
cana-4451	164	10	across	across	ADP
cana-4451	164	11	the	the	DET
cana-4451	164	12	input	input	NOUN
cana-4451	164	13	image	image	NOUN
cana-4451	164	14	.	.	PUNCT
cana-4451	165	1	a	a	DET
cana-4451	165	2	bias	bias	NOUN
cana-4451	165	3	term	term	NOUN
cana-4451	165	4	is	be	AUX
cana-4451	165	5	then	then	ADV
cana-4451	165	6	added	add	VERB
cana-4451	165	7	when	when	SCONJ
cana-4451	165	8	a	a	DET
cana-4451	165	9	convolution	convolution	NOUN
cana-4451	165	10	operation	operation	NOUN
cana-4451	165	11	is	be	AUX
cana-4451	165	12	completed	complete	VERB
cana-4451	165	13	by	by	ADP
cana-4451	165	14	computing	compute	VERB
cana-4451	165	15	the	the	DET
cana-4451	165	16	dot	dot	NOUN
cana-4451	165	17	communications	communication	NOUN
cana-4451	165	18	on	on	ADP
cana-4451	165	19	applied	apply	VERB
cana-4451	165	20	nonlinear	nonlinear	ADJ
cana-4451	165	21	analysis	analysis	NOUN
cana-4451	165	22	issn	issn	NOUN
cana-4451	165	23	:	:	PUNCT
cana-4451	165	24	1074	1074	NUM
cana-4451	165	25	-	-	PUNCT
cana-4451	165	26	133x	133x	NUM
cana-4451	165	27	vol	vol	NOUN
cana-4451	165	28	32	32	NUM
cana-4451	165	29	no	no	NOUN
cana-4451	165	30	.	.	PUNCT
cana-4451	166	1	9s	9s	NUM
cana-4451	166	2	(	(	PUNCT
cana-4451	166	3	2025	2025	NUM
cana-4451	166	4	)	)	PUNCT
cana-4451	166	5	2107	2107	NUM
cana-4451	166	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4451	166	7	product	product	NOUN
cana-4451	166	8	between	between	ADP
cana-4451	166	9	the	the	DET
cana-4451	166	10	filter	filter	NOUN
cana-4451	166	11	weights	weight	NOUN
cana-4451	166	12	and	and	CCONJ
cana-4451	166	13	the	the	DET
cana-4451	166	14	relevant	relevant	ADJ
cana-4451	166	15	input	input	NOUN
cana-4451	166	16	region	region	NOUN
cana-4451	166	17	.	.	PUNCT
cana-4451	167	1	the	the	DET
cana-4451	167	2	network	network	NOUN
cana-4451	167	3	can	can	AUX
cana-4451	167	4	identify	identify	VERB
cana-4451	167	5	crucial	crucial	ADJ
cana-4451	167	6	patterns	pattern	NOUN
cana-4451	167	7	like	like	ADP
cana-4451	167	8	edges	edge	NOUN
cana-4451	167	9	,	,	PUNCT
cana-4451	167	10	textures	texture	NOUN
cana-4451	167	11	,	,	PUNCT
cana-4451	167	12	and	and	CCONJ
cana-4451	167	13	spatial	spatial	ADJ
cana-4451	167	14	relationships	relationship	NOUN
cana-4451	167	15	thanks	thank	NOUN
cana-4451	167	16	to	to	ADP
cana-4451	167	17	this	this	DET
cana-4451	167	18	mechanism	mechanism	NOUN
cana-4451	167	19	.	.	PUNCT
cana-4451	168	1	filters	filter	NOUN
cana-4451	168	2	and	and	CCONJ
cana-4451	168	3	stride	stride	VERB
cana-4451	168	4	the	the	DET
cana-4451	168	5	size	size	NOUN
cana-4451	168	6	of	of	ADP
cana-4451	168	7	the	the	DET
cana-4451	168	8	area	area	NOUN
cana-4451	168	9	in	in	ADP
cana-4451	168	10	the	the	DET
cana-4451	168	11	input	input	NOUN
cana-4451	168	12	image	image	NOUN
cana-4451	168	13	that	that	PRON
cana-4451	168	14	is	be	AUX
cana-4451	168	15	being	be	AUX
cana-4451	168	16	analyzed	analyze	VERB
cana-4451	168	17	is	be	AUX
cana-4451	168	18	defined	define	VERB
cana-4451	168	19	by	by	ADP
cana-4451	168	20	filters	filter	NOUN
cana-4451	168	21	.	.	PUNCT
cana-4451	169	1	the	the	DET
cana-4451	169	2	step	step	NOUN
cana-4451	169	3	size	size	NOUN
cana-4451	169	4	that	that	PRON
cana-4451	169	5	the	the	DET
cana-4451	169	6	filter	filter	NOUN
cana-4451	169	7	uses	use	VERB
cana-4451	169	8	to	to	PART
cana-4451	169	9	traverse	traverse	VERB
cana-4451	169	10	across	across	ADP
cana-4451	169	11	the	the	DET
cana-4451	169	12	image	image	NOUN
cana-4451	169	13	both	both	CCONJ
cana-4451	169	14	vertically	vertically	ADV
cana-4451	169	15	and	and	CCONJ
cana-4451	169	16	horizontally	horizontally	ADV
cana-4451	169	17	is	be	AUX
cana-4451	169	18	referred	refer	VERB
cana-4451	169	19	to	to	ADP
cana-4451	169	20	as	as	ADP
cana-4451	169	21	stride	stride	NOUN
cana-4451	169	22	.	.	PUNCT
cana-4451	170	1	while	while	SCONJ
cana-4451	170	2	greater	great	ADJ
cana-4451	170	3	strides	stride	NOUN
cana-4451	170	4	give	give	VERB
cana-4451	170	5	faster	fast	ADJ
cana-4451	170	6	processing	processing	NOUN
cana-4451	170	7	at	at	ADP
cana-4451	170	8	the	the	DET
cana-4451	170	9	expense	expense	NOUN
cana-4451	170	10	of	of	ADP
cana-4451	170	11	granularity	granularity	NOUN
cana-4451	170	12	,	,	PUNCT
cana-4451	170	13	smaller	small	ADJ
cana-4451	170	14	strides	stride	NOUN
cana-4451	170	15	allow	allow	VERB
cana-4451	170	16	for	for	ADP
cana-4451	170	17	overlapping	overlap	VERB
cana-4451	170	18	regions	region	NOUN
cana-4451	170	19	,	,	PUNCT
cana-4451	170	20	capturing	capture	VERB
cana-4451	170	21	finer	fine	ADJ
cana-4451	170	22	data	datum	NOUN
cana-4451	170	23	.	.	PUNCT
cana-4451	171	1	the	the	DET
cana-4451	171	2	resolution	resolution	NOUN
cana-4451	171	3	and	and	CCONJ
cana-4451	171	4	richness	richness	NOUN
cana-4451	171	5	of	of	ADP
cana-4451	171	6	the	the	DET
cana-4451	171	7	feature	feature	NOUN
cana-4451	171	8	maps	map	NOUN
cana-4451	171	9	produced	produce	VERB
cana-4451	171	10	are	be	AUX
cana-4451	171	11	determined	determine	VERB
cana-4451	171	12	by	by	ADP
cana-4451	171	13	the	the	DET
cana-4451	171	14	parameters	parameter	NOUN
cana-4451	171	15	of	of	ADP
cana-4451	171	16	the	the	DET
cana-4451	171	17	convolutional	convolutional	ADJ
cana-4451	171	18	layer	layer	NOUN
cana-4451	171	19	,	,	PUNCT
cana-4451	171	20	such	such	ADJ
cana-4451	171	21	as	as	ADP
cana-4451	171	22	the	the	DET
cana-4451	171	23	stride	stride	NOUN
cana-4451	171	24	,	,	PUNCT
cana-4451	171	25	number	number	NOUN
cana-4451	171	26	of	of	ADP
cana-4451	171	27	filters	filter	NOUN
cana-4451	171	28	,	,	PUNCT
cana-4451	171	29	and	and	CCONJ
cana-4451	171	30	filter	filter	NOUN
cana-4451	171	31	size	size	NOUN
cana-4451	171	32	.	.	PUNCT
cana-4451	172	1	the	the	DET
cana-4451	172	2	following	follow	VERB
cana-4451	172	3	layers	layer	NOUN
cana-4451	172	4	,	,	PUNCT
cana-4451	172	5	which	which	PRON
cana-4451	172	6	gradually	gradually	ADV
cana-4451	172	7	hone	hone	NOUN
cana-4451	172	8	and	and	CCONJ
cana-4451	172	9	interpret	interpret	VERB
cana-4451	172	10	the	the	DET
cana-4451	172	11	retrieved	retrieve	VERB
cana-4451	172	12	features	feature	NOUN
cana-4451	172	13	for	for	ADP
cana-4451	172	14	classification	classification	NOUN
cana-4451	172	15	or	or	CCONJ
cana-4451	172	16	other	other	ADJ
cana-4451	172	17	tasks	task	NOUN
cana-4451	172	18	,	,	PUNCT
cana-4451	172	19	are	be	AUX
cana-4451	172	20	built	build	VERB
cana-4451	172	21	upon	upon	SCONJ
cana-4451	172	22	these	these	DET
cana-4451	172	23	maps	map	NOUN
cana-4451	172	24	.	.	PUNCT
cana-4451	173	1	the	the	DET
cana-4451	173	2	step	step	NOUN
cana-4451	173	3	size	size	NOUN
cana-4451	173	4	at	at	ADP
cana-4451	173	5	which	which	PRON
cana-4451	173	6	the	the	DET
cana-4451	173	7	filter	filter	NOUN
cana-4451	173	8	traverses	traverse	VERB
cana-4451	173	9	the	the	DET
cana-4451	173	10	input	input	NOUN
cana-4451	173	11	is	be	AUX
cana-4451	173	12	referred	refer	VERB
cana-4451	173	13	to	to	ADP
cana-4451	173	14	as	as	ADP
cana-4451	173	15	the	the	DET
cana-4451	173	16	stride	stride	NOUN
cana-4451	173	17	.	.	PUNCT
cana-4451	174	1	the	the	DET
cana-4451	174	2	size	size	NOUN
cana-4451	174	3	of	of	ADP
cana-4451	174	4	the	the	DET
cana-4451	174	5	steps	step	NOUN
cana-4451	174	6	the	the	DET
cana-4451	174	7	filter	filter	NOUN
cana-4451	174	8	takes	take	VERB
cana-4451	174	9	while	while	SCONJ
cana-4451	174	10	navigating	navigate	VERB
cana-4451	174	11	the	the	DET
cana-4451	174	12	input	input	NOUN
cana-4451	174	13	is	be	AUX
cana-4451	174	14	known	know	VERB
cana-4451	174	15	as	as	ADP
cana-4451	174	16	the	the	DET
cana-4451	174	17	stride	stride	NOUN
cana-4451	174	18	.	.	PUNCT
cana-4451	175	1	the	the	DET
cana-4451	175	2	local	local	ADJ
cana-4451	175	3	regions	region	NOUN
cana-4451	175	4	to	to	PART
cana-4451	175	5	which	which	PRON
cana-4451	175	6	the	the	DET
cana-4451	175	7	neurons	neuron	NOUN
cana-4451	175	8	are	be	AUX
cana-4451	175	9	linked	link	VERB
cana-4451	175	10	may	may	AUX
cana-4451	175	11	overlap	overlap	VERB
cana-4451	175	12	as	as	ADP
cana-4451	175	13	a	a	DET
cana-4451	175	14	result	result	NOUN
cana-4451	175	15	of	of	ADP
cana-4451	175	16	specific	specific	ADJ
cana-4451	175	17	stride	stride	ADJ
cana-4451	175	18	values	value	NOUN
cana-4451	175	19	and	and	CCONJ
cana-4451	175	20	filter	filter	NOUN
cana-4451	175	21	sizes	size	NOUN
cana-4451	175	22	.	.	PUNCT
cana-4451	176	1	feature	feature	NOUN
cana-4451	176	2	maps	map	NOUN
cana-4451	176	3	as	as	SCONJ
cana-4451	176	4	the	the	DET
cana-4451	176	5	filter	filter	NOUN
cana-4451	176	6	runs	run	VERB
cana-4451	176	7	over	over	ADP
cana-4451	176	8	the	the	DET
cana-4451	176	9	input	input	NOUN
cana-4451	176	10	,	,	PUNCT
cana-4451	176	11	it	it	PRON
cana-4451	176	12	applies	apply	VERB
cana-4451	176	13	the	the	DET
cana-4451	176	14	identical	identical	ADJ
cana-4451	176	15	set	set	NOUN
cana-4451	176	16	of	of	ADP
cana-4451	176	17	weights	weight	NOUN
cana-4451	176	18	and	and	CCONJ
cana-4451	176	19	bias	bias	NOUN
cana-4451	176	20	to	to	ADP
cana-4451	176	21	each	each	DET
cana-4451	176	22	convolution	convolution	NOUN
cana-4451	176	23	,	,	PUNCT
cana-4451	176	24	resulting	result	VERB
cana-4451	176	25	in	in	ADP
cana-4451	176	26	a	a	DET
cana-4451	176	27	feature	feature	NOUN
cana-4451	176	28	map	map	NOUN
cana-4451	176	29	.	.	PUNCT
cana-4451	177	1	each	each	DET
cana-4451	177	2	feature	feature	NOUN
cana-4451	177	3	map	map	NOUN
cana-4451	177	4	represents	represent	VERB
cana-4451	177	5	the	the	DET
cana-4451	177	6	result	result	NOUN
cana-4451	177	7	of	of	ADP
cana-4451	177	8	a	a	DET
cana-4451	177	9	convolution	convolution	NOUN
cana-4451	177	10	with	with	ADP
cana-4451	177	11	a	a	DET
cana-4451	177	12	distinct	distinct	ADJ
cana-4451	177	13	set	set	NOUN
cana-4451	177	14	of	of	ADP
cana-4451	177	15	weights	weight	NOUN
cana-4451	177	16	and	and	CCONJ
cana-4451	177	17	a	a	DET
cana-4451	177	18	different	different	ADJ
cana-4451	177	19	bias	bias	NOUN
cana-4451	177	20	.	.	PUNCT
cana-4451	178	1	a	a	DET
cana-4451	178	2	convolutional	convolutional	ADJ
cana-4451	178	3	layer	layer	NOUN
cana-4451	178	4	's	's	PART
cana-4451	178	5	total	total	ADJ
cana-4451	178	6	number	number	NOUN
cana-4451	178	7	of	of	ADP
cana-4451	178	8	parameters	parameter	NOUN
cana-4451	178	9	is	be	AUX
cana-4451	178	10	determined	determine	VERB
cana-4451	178	11	by	by	ADP
cana-4451	178	12	(	(	PUNCT
cana-4451	178	13	h∗w∗c+1	h∗w∗c+1	NOUN
cana-4451	178	14	)	)	PUNCT
cana-4451	178	15	,	,	PUNCT
cana-4451	178	16	where	where	SCONJ
cana-4451	178	17	the	the	DET
cana-4451	178	18	bias	bias	NOUN
cana-4451	178	19	term	term	NOUN
cana-4451	178	20	is	be	AUX
cana-4451	178	21	1	1	NUM
cana-4451	178	22	.	.	PUNCT
cana-4451	179	1	the	the	DET
cana-4451	179	2	filter	filter	NOUN
cana-4451	179	3	height	height	NOUN
cana-4451	179	4	is	be	AUX
cana-4451	179	5	denoted	denote	VERB
cana-4451	179	6	by	by	ADP
cana-4451	179	7	h	h	NOUN
cana-4451	179	8	,	,	PUNCT
cana-4451	179	9	the	the	DET
cana-4451	179	10	width	width	NOUN
cana-4451	179	11	by	by	ADP
cana-4451	179	12	w	w	PROPN
cana-4451	179	13	,	,	PUNCT
cana-4451	179	14	and	and	CCONJ
cana-4451	179	15	the	the	DET
cana-4451	179	16	number	number	NOUN
cana-4451	179	17	of	of	ADP
cana-4451	179	18	channels	channel	NOUN
cana-4451	179	19	by	by	ADP
cana-4451	179	20	c.	c.	NOUN
cana-4451	179	21	padding	padding	NOUN
cana-4451	179	22	both	both	CCONJ
cana-4451	179	23	vertical	vertical	ADJ
cana-4451	179	24	and	and	CCONJ
cana-4451	179	25	horizontal	horizontal	ADJ
cana-4451	179	26	padding	padding	NOUN
cana-4451	179	27	of	of	ADP
cana-4451	179	28	the	the	DET
cana-4451	179	29	input	input	NOUN
cana-4451	179	30	image	image	NOUN
cana-4451	179	31	's	's	PART
cana-4451	179	32	borders	border	NOUN
cana-4451	179	33	can	can	AUX
cana-4451	179	34	be	be	AUX
cana-4451	179	35	applied	apply	VERB
cana-4451	179	36	using	use	VERB
cana-4451	179	37	the	the	DET
cana-4451	179	38	'	'	PUNCT
cana-4451	179	39	padding	padding	NOUN
cana-4451	179	40	'	'	PUNCT
cana-4451	179	41	name	name	NOUN
cana-4451	179	42	-	-	PUNCT
cana-4451	179	43	value	value	NOUN
cana-4451	179	44	pair	pair	NOUN
cana-4451	179	45	option	option	NOUN
cana-4451	179	46	.	.	PUNCT
cana-4451	180	1	in	in	ADP
cana-4451	180	2	order	order	NOUN
cana-4451	180	3	to	to	PART
cana-4451	180	4	enhance	enhance	VERB
cana-4451	180	5	the	the	DET
cana-4451	180	6	input	input	NOUN
cana-4451	180	7	's	's	PART
cana-4451	180	8	dimensions	dimension	NOUN
cana-4451	180	9	,	,	PUNCT
cana-4451	180	10	padding	padding	NOUN
cana-4451	180	11	inserts	insert	NOUN
cana-4451	180	12	additional	additional	ADJ
cana-4451	180	13	values	value	NOUN
cana-4451	180	14	around	around	ADP
cana-4451	180	15	it	it	PRON
cana-4451	180	16	.	.	PUNCT
cana-4451	181	1	the	the	DET
cana-4451	181	2	size	size	NOUN
cana-4451	181	3	of	of	ADP
cana-4451	181	4	the	the	DET
cana-4451	181	5	output	output	NOUN
cana-4451	181	6	that	that	PRON
cana-4451	181	7	the	the	DET
cana-4451	181	8	layer	layer	NOUN
cana-4451	181	9	produces	produce	VERB
cana-4451	181	10	can	can	AUX
cana-4451	181	11	be	be	AUX
cana-4451	181	12	controlled	control	VERB
cana-4451	181	13	by	by	ADP
cana-4451	181	14	varying	vary	VERB
cana-4451	181	15	the	the	DET
cana-4451	181	16	amount	amount	NOUN
cana-4451	181	17	of	of	ADP
cana-4451	181	18	padding	padding	NOUN
cana-4451	181	19	.	.	PUNCT
cana-4451	182	1	the	the	DET
cana-4451	182	2	input	input	NOUN
cana-4451	182	3	in	in	ADP
cana-4451	182	4	the	the	DET
cana-4451	182	5	sample	sample	NOUN
cana-4451	182	6	image	image	NOUN
cana-4451	182	7	is	be	AUX
cana-4451	182	8	scanned	scan	VERB
cana-4451	182	9	by	by	ADP
cana-4451	182	10	a	a	DET
cana-4451	182	11	3x3	3x3	NUM
cana-4451	182	12	filter	filter	NOUN
cana-4451	182	13	with	with	ADP
cana-4451	182	14	size	size	NOUN
cana-4451	182	15	1	1	NUM
cana-4451	182	16	padding	padding	NOUN
cana-4451	182	17	.	.	PUNCT
cana-4451	183	1	the	the	DET
cana-4451	183	2	upper	upper	ADJ
cana-4451	183	3	map	map	NOUN
cana-4451	183	4	displays	display	VERB
cana-4451	183	5	the	the	DET
cana-4451	183	6	result	result	NOUN
cana-4451	183	7	,	,	PUNCT
cana-4451	183	8	and	and	CCONJ
cana-4451	183	9	the	the	DET
cana-4451	183	10	lower	low	ADJ
cana-4451	183	11	map	map	NOUN
cana-4451	183	12	displays	display	VERB
cana-4451	183	13	the	the	DET
cana-4451	183	14	input	input	NOUN
cana-4451	183	15	.	.	PUNCT
cana-4451	184	1	c.	c.	NOUN
cana-4451	184	2	batch	batch	NOUN
cana-4451	184	3	normalization	normalization	NOUN
cana-4451	184	4	layer	layer	NOUN
cana-4451	184	5	these	these	DET
cana-4451	184	6	layers	layer	NOUN
cana-4451	184	7	are	be	AUX
cana-4451	184	8	often	often	ADV
cana-4451	184	9	placed	place	VERB
cana-4451	184	10	between	between	ADP
cana-4451	184	11	nonlinear	nonlinear	ADJ
cana-4451	184	12	layers	layer	NOUN
cana-4451	184	13	such	such	ADJ
cana-4451	184	14	as	as	ADP
cana-4451	184	15	relu	relu	NOUN
cana-4451	184	16	and	and	CCONJ
cana-4451	184	17	convolutional	convolutional	ADJ
cana-4451	184	18	layers	layer	NOUN
cana-4451	184	19	.	.	PUNCT
cana-4451	185	1	the	the	DET
cana-4451	185	2	input	input	NOUN
cana-4451	185	3	is	be	AUX
cana-4451	185	4	shifted	shift	VERB
cana-4451	185	5	by	by	ADP
cana-4451	185	6	a	a	DET
cana-4451	185	7	learnable	learnable	ADJ
cana-4451	185	8	offset	offset	NOUN
cana-4451	185	9	β\betaβ	β\betaβ	PUNCT
cana-4451	185	10	and	and	CCONJ
cana-4451	185	11	scaled	scale	VERB
cana-4451	185	12	by	by	ADP
cana-4451	185	13	a	a	DET
cana-4451	185	14	learnable	learnable	ADJ
cana-4451	185	15	scale	scale	NOUN
cana-4451	185	16	factor	factor	NOUN
cana-4451	185	17	,	,	PUNCT
cana-4451	185	18	both	both	PRON
cana-4451	185	19	of	of	ADP
cana-4451	185	20	which	which	PRON
cana-4451	185	21	are	be	AUX
cana-4451	185	22	changed	change	VERB
cana-4451	185	23	during	during	ADP
cana-4451	185	24	training	training	NOUN
cana-4451	185	25	.	.	PUNCT
cana-4451	186	1	batch	batch	NOUN
cana-4451	186	2	normalization	normalization	NOUN
cana-4451	186	3	helps	help	VERB
cana-4451	186	4	with	with	ADP
cana-4451	186	5	optimization	optimization	NOUN
cana-4451	186	6	by	by	ADP
cana-4451	186	7	normalizing	normalize	VERB
cana-4451	186	8	activations	activation	NOUN
cana-4451	186	9	and	and	CCONJ
cana-4451	186	10	gradients	gradient	NOUN
cana-4451	186	11	during	during	ADP
cana-4451	186	12	training	training	NOUN
cana-4451	186	13	.	.	PUNCT
cana-4451	187	1	higher	high	ADJ
cana-4451	187	2	learning	learning	NOUN
cana-4451	187	3	rates	rate	NOUN
cana-4451	187	4	,	,	PUNCT
cana-4451	187	5	quicker	quick	ADJ
cana-4451	187	6	convergence	convergence	NOUN
cana-4451	187	7	,	,	PUNCT
cana-4451	187	8	and	and	CCONJ
cana-4451	187	9	a	a	DET
cana-4451	187	10	decreased	decrease	VERB
cana-4451	187	11	requirement	requirement	NOUN
cana-4451	187	12	for	for	ADP
cana-4451	187	13	regularization	regularization	NOUN
cana-4451	187	14	techniques	technique	NOUN
cana-4451	187	15	like	like	ADP
cana-4451	187	16	l2	l2	NOUN
cana-4451	187	17	or	or	CCONJ
cana-4451	187	18	dropout	dropout	NOUN
cana-4451	187	19	may	may	AUX
cana-4451	187	20	result	result	VERB
cana-4451	187	21	from	from	ADP
cana-4451	187	22	this	this	PRON
cana-4451	187	23	.	.	PUNCT
cana-4451	188	1	to	to	PART
cana-4451	188	2	fully	fully	ADV
cana-4451	188	3	benefit	benefit	VERB
cana-4451	188	4	from	from	ADP
cana-4451	188	5	the	the	DET
cana-4451	188	6	regularizing	regularize	VERB
cana-4451	188	7	effect	effect	NOUN
cana-4451	188	8	of	of	ADP
cana-4451	188	9	batch	batch	NOUN
cana-4451	188	10	normalization	normalization	NOUN
cana-4451	188	11	,	,	PUNCT
cana-4451	188	12	it	it	PRON
cana-4451	188	13	is	be	AUX
cana-4451	188	14	advised	advise	VERB
cana-4451	188	15	to	to	PART
cana-4451	188	16	shuffle	shuffle	VERB
cana-4451	188	17	the	the	DET
cana-4451	188	18	training	training	NOUN
cana-4451	188	19	data	datum	NOUN
cana-4451	188	20	prior	prior	ADV
cana-4451	188	21	to	to	ADP
cana-4451	188	22	each	each	DET
cana-4451	188	23	epoch	epoch	NOUN
cana-4451	188	24	for	for	ADP
cana-4451	188	25	best	good	ADJ
cana-4451	188	26	results	result	NOUN
cana-4451	188	27	.	.	PUNCT
cana-4451	189	1	d.	d.	NOUN
cana-4451	189	2	relu	relu	PROPN
cana-4451	189	3	layer	layer	NOUN
cana-4451	189	4	a	a	DET
cana-4451	189	5	relu	relu	NOUN
cana-4451	189	6	(	(	PUNCT
cana-4451	189	7	rectified	rectified	ADJ
cana-4451	189	8	linear	linear	NOUN
cana-4451	189	9	unit	unit	NOUN
cana-4451	189	10	)	)	PUNCT
cana-4451	189	11	layer	layer	NOUN
cana-4451	189	12	applies	apply	VERB
cana-4451	189	13	a	a	DET
cana-4451	189	14	threshold	threshold	NOUN
cana-4451	189	15	operation	operation	NOUN
cana-4451	189	16	to	to	ADP
cana-4451	189	17	each	each	DET
cana-4451	189	18	input	input	NOUN
cana-4451	189	19	element	element	NOUN
cana-4451	189	20	,	,	PUNCT
cana-4451	189	21	setting	set	VERB
cana-4451	189	22	all	all	DET
cana-4451	189	23	negative	negative	ADJ
cana-4451	189	24	values	value	NOUN
cana-4451	189	25	to	to	ADP
cana-4451	189	26	zero	zero	NUM
cana-4451	189	27	.	.	PUNCT
cana-4451	190	1	to	to	PART
cana-4451	190	2	add	add	VERB
cana-4451	190	3	nonlinearity	nonlinearity	NOUN
cana-4451	190	4	,	,	PUNCT
cana-4451	190	5	a	a	DET
cana-4451	190	6	relu	relu	NOUN
cana-4451	190	7	layer	layer	NOUN
cana-4451	190	8	is	be	AUX
cana-4451	190	9	usually	usually	ADV
cana-4451	190	10	added	add	VERB
cana-4451	190	11	after	after	ADP
cana-4451	190	12	a	a	DET
cana-4451	190	13	convolutional	convolutional	ADJ
cana-4451	190	14	or	or	CCONJ
cana-4451	190	15	batch	batch	VERB
cana-4451	190	16	normalizing	normalizing	ADJ
cana-4451	190	17	layer	layer	NOUN
cana-4451	190	18	.	.	PUNCT
cana-4451	191	1	the	the	DET
cana-4451	191	2	relu	relu	NOUN
cana-4451	191	3	layer	layer	NOUN
cana-4451	191	4	improves	improve	VERB
cana-4451	191	5	the	the	DET
cana-4451	191	6	model	model	NOUN
cana-4451	191	7	's	's	PART
cana-4451	191	8	capacity	capacity	NOUN
cana-4451	191	9	to	to	PART
cana-4451	191	10	recognize	recognize	VERB
cana-4451	191	11	intricate	intricate	ADJ
cana-4451	191	12	patterns	pattern	NOUN
cana-4451	191	13	by	by	ADP
cana-4451	191	14	guaranteeing	guarantee	VERB
cana-4451	191	15	that	that	SCONJ
cana-4451	191	16	every	every	DET
cana-4451	191	17	input	input	NOUN
cana-4451	191	18	value	value	NOUN
cana-4451	191	19	that	that	PRON
cana-4451	191	20	is	be	AUX
cana-4451	191	21	less	less	ADJ
cana-4451	191	22	than	than	ADP
cana-4451	191	23	0	0	NUM
cana-4451	191	24	is	be	AUX
cana-4451	191	25	assigned	assign	VERB
cana-4451	191	26	to	to	ADP
cana-4451	191	27	0	0	NUM
cana-4451	191	28	.	.	PUNCT
cana-4451	192	1	𝑓(𝑥	𝑓(𝑥	NOUN
cana-4451	192	2	)	)	PUNCT
cana-4451	193	1	=	=	PRON
cana-4451	193	2	{	{	PUNCT
cana-4451	193	3	𝑥	𝑥	NOUN
cana-4451	193	4	,	,	PUNCT
cana-4451	193	5	𝑥	𝑥	PRON
cana-4451	193	6	≥	≥	NOUN
cana-4451	193	7	0	0	NUM
cana-4451	193	8	0	0	NUM
cana-4451	193	9	,	,	PUNCT
cana-4451	193	10	𝑥	𝑥	X
cana-4451	193	11	<	<	X
cana-4451	193	12	0	0	PUNCT
cana-4451	193	13	(	(	PUNCT
cana-4451	193	14	1	1	NUM
cana-4451	193	15	)	)	PUNCT
cana-4451	193	16	the	the	DET
cana-4451	193	17	relu	relu	NOUN
cana-4451	193	18	layer	layer	NOUN
cana-4451	193	19	does	do	AUX
cana-4451	193	20	not	not	PART
cana-4451	193	21	alter	alter	VERB
cana-4451	193	22	the	the	DET
cana-4451	193	23	input	input	NOUN
cana-4451	193	24	's	's	PART
cana-4451	193	25	size	size	NOUN
cana-4451	193	26	.	.	PUNCT
cana-4451	194	1	positive	positive	ADJ
cana-4451	194	2	numbers	number	NOUN
cana-4451	194	3	remain	remain	VERB
cana-4451	194	4	constant	constant	ADJ
cana-4451	194	5	while	while	SCONJ
cana-4451	194	6	any	any	DET
cana-4451	194	7	input	input	NOUN
cana-4451	194	8	value	value	NOUN
cana-4451	194	9	below	below	ADP
cana-4451	194	10	zero	zero	NUM
cana-4451	194	11	is	be	AUX
cana-4451	194	12	set	set	VERB
cana-4451	194	13	to	to	ADP
cana-4451	194	14	zero	zero	NUM
cana-4451	194	15	when	when	SCONJ
cana-4451	194	16	it	it	PRON
cana-4451	194	17	performs	perform	VERB
cana-4451	194	18	a	a	DET
cana-4451	194	19	threshold	threshold	NOUN
cana-4451	194	20	action	action	NOUN
cana-4451	194	21	.	.	PUNCT
cana-4451	195	1	e.	e.	PROPN
cana-4451	195	2	softmax	softmax	PROPN
cana-4451	195	3	layer	layer	NOUN
cana-4451	195	4	a	a	DET
cana-4451	195	5	softmax	softmax	NOUN
cana-4451	195	6	layer	layer	NOUN
cana-4451	195	7	applies	apply	VERB
cana-4451	195	8	a	a	DET
cana-4451	195	9	softmax	softmax	NOUN
cana-4451	195	10	function	function	NOUN
cana-4451	195	11	to	to	ADP
cana-4451	195	12	the	the	DET
cana-4451	195	13	input	input	NOUN
cana-4451	195	14	.	.	PUNCT
cana-4451	196	1	to	to	PART
cana-4451	196	2	construct	construct	VERB
cana-4451	196	3	a	a	DET
cana-4451	196	4	softmax	softmax	NOUN
cana-4451	196	5	layer	layer	NOUN
cana-4451	196	6	,	,	PUNCT
cana-4451	196	7	use	use	VERB
cana-4451	196	8	softmax	softmax	ADJ
cana-4451	196	9	layer	layer	NOUN
cana-4451	196	10	.	.	PUNCT
cana-4451	197	1	a	a	DET
cana-4451	197	2	classification	classification	NOUN
cana-4451	197	3	layer	layer	NOUN
cana-4451	197	4	computes	compute	VERB
cana-4451	197	5	the	the	DET
cana-4451	197	6	cross	cross	ADJ
cana-4451	197	7	-	-	ADJ
cana-4451	197	8	entropy	entropy	ADJ
cana-4451	197	9	loss	loss	NOUN
cana-4451	197	10	for	for	ADP
cana-4451	197	11	classification	classification	NOUN
cana-4451	197	12	and	and	CCONJ
cana-4451	197	13	communications	communication	NOUN
cana-4451	197	14	on	on	ADP
cana-4451	197	15	applied	apply	VERB
cana-4451	197	16	nonlinear	nonlinear	ADJ
cana-4451	197	17	analysis	analysis	NOUN
cana-4451	197	18	issn	issn	NOUN
cana-4451	197	19	:	:	PUNCT
cana-4451	197	20	1074	1074	NUM
cana-4451	197	21	-	-	PUNCT
cana-4451	197	22	133x	133x	NUM
cana-4451	197	23	vol	vol	NOUN
cana-4451	197	24	32	32	NUM
cana-4451	197	25	no	no	NOUN
cana-4451	197	26	.	.	PUNCT
cana-4451	198	1	9s	9s	NUM
cana-4451	198	2	(	(	PUNCT
cana-4451	198	3	2025	2025	NUM
cana-4451	198	4	)	)	PUNCT
cana-4451	198	5	2108	2108	NUM
cana-4451	199	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4451	199	2	weighted	weight	VERB
cana-4451	199	3	classification	classification	NOUN
cana-4451	199	4	problems	problem	NOUN
cana-4451	199	5	with	with	ADP
cana-4451	199	6	mutually	mutually	ADV
cana-4451	199	7	exclusive	exclusive	ADJ
cana-4451	199	8	classes	class	NOUN
cana-4451	199	9	.	.	PUNCT
cana-4451	200	1	to	to	PART
cana-4451	200	2	create	create	VERB
cana-4451	200	3	a	a	DET
cana-4451	200	4	classification	classification	NOUN
cana-4451	200	5	layer	layer	NOUN
cana-4451	200	6	,	,	PUNCT
cana-4451	200	7	use	use	NOUN
cana-4451	200	8	classificationlayer	classificationlayer	NOUN
cana-4451	200	9	.	.	PUNCT
cana-4451	201	1	for	for	ADP
cana-4451	201	2	classification	classification	NOUN
cana-4451	201	3	tasks	task	NOUN
cana-4451	201	4	,	,	PUNCT
cana-4451	201	5	a	a	DET
cana-4451	201	6	softmax	softmax	NOUN
cana-4451	201	7	layer	layer	NOUN
cana-4451	201	8	and	and	CCONJ
cana-4451	201	9	a	a	DET
cana-4451	201	10	classification	classification	NOUN
cana-4451	201	11	layer	layer	NOUN
cana-4451	201	12	usually	usually	ADV
cana-4451	201	13	come	come	VERB
cana-4451	201	14	after	after	ADP
cana-4451	201	15	the	the	DET
cana-4451	201	16	last	last	ADJ
cana-4451	201	17	fully	fully	ADV
cana-4451	201	18	linked	link	VERB
cana-4451	201	19	layer	layer	NOUN
cana-4451	201	20	.	.	PUNCT
cana-4451	202	1	the	the	DET
cana-4451	202	2	output	output	NOUN
cana-4451	202	3	unit	unit	NOUN
cana-4451	202	4	's	's	PART
cana-4451	202	5	activation	activation	NOUN
cana-4451	202	6	function	function	NOUN
cana-4451	202	7	is	be	AUX
cana-4451	202	8	the	the	DET
cana-4451	202	9	softmax	softmax	NOUN
cana-4451	202	10	function	function	NOUN
cana-4451	202	11	:	:	PUNCT
cana-4451	202	12	𝑦𝑟(𝑥	𝑦𝑟(𝑥	NOUN
cana-4451	202	13	)	)	PUNCT
cana-4451	202	14	=	=	SYM
cana-4451	202	15	𝑒𝑎𝑟(𝑥	𝑒𝑎𝑟(𝑥	NOUN
cana-4451	202	16	)	)	PUNCT
cana-4451	202	17	∑	∑	NOUN
cana-4451	202	18	𝑒	𝑒	X
cana-4451	202	19	𝑎𝑗(𝑥)𝑘	𝑎𝑗(𝑥)𝑘	X
cana-4451	202	20	𝑗=1	𝑗=1	X
cana-4451	202	21	(	(	PUNCT
cana-4451	202	22	2	2	X
cana-4451	202	23	)	)	PUNCT
cana-4451	202	24	the	the	DET
cana-4451	202	25	activation	activation	NOUN
cana-4451	202	26	function	function	VERB
cana-4451	202	27	in	in	ADP
cana-4451	202	28	output	output	NOUN
cana-4451	202	29	unit	unit	NOUN
cana-4451	202	30	that	that	PRON
cana-4451	202	31	comes	come	VERB
cana-4451	202	32	at	at	ADP
cana-4451	202	33	last	last	ADJ
cana-4451	202	34	is	be	AUX
cana-4451	202	35	completely	completely	ADV
cana-4451	202	36	linked	link	VERB
cana-4451	202	37	layer	layer	NOUN
cana-4451	202	38	in	in	ADP
cana-4451	202	39	multi	multi	ADJ
cana-4451	202	40	-	-	ADJ
cana-4451	202	41	class	class	ADJ
cana-4451	202	42	classification	classification	NOUN
cana-4451	202	43	scenarios	scenario	NOUN
cana-4451	202	44	is	be	AUX
cana-4451	202	45	referred	refer	VERB
cana-4451	202	46	to	to	ADP
cana-4451	202	47	as	as	ADP
cana-4451	202	48	the	the	DET
cana-4451	202	49	softmax	softmax	NOUN
cana-4451	202	50	function	function	NOUN
cana-4451	202	51	.	.	PUNCT
cana-4451	203	1	f.	f.	PROPN
cana-4451	203	2	fully	fully	ADV
cana-4451	203	3	connected	connect	VERB
cana-4451	203	4	layer	layer	NOUN
cana-4451	203	5	a	a	DET
cana-4451	203	6	fully	fully	ADV
cana-4451	203	7	connected	connect	VERB
cana-4451	203	8	layer	layer	NOUN
cana-4451	203	9	multiplies	multiply	VERB
cana-4451	203	10	the	the	DET
cana-4451	203	11	input	input	NOUN
cana-4451	203	12	by	by	ADP
cana-4451	203	13	a	a	DET
cana-4451	203	14	weight	weight	NOUN
cana-4451	203	15	matrix	matrix	NOUN
cana-4451	203	16	and	and	CCONJ
cana-4451	203	17	then	then	ADV
cana-4451	203	18	adds	add	VERB
cana-4451	203	19	a	a	DET
cana-4451	203	20	bias	bias	NOUN
cana-4451	203	21	vector	vector	NOUN
cana-4451	203	22	.	.	PUNCT
cana-4451	204	1	the	the	DET
cana-4451	204	2	convolutional	convolutional	ADJ
cana-4451	204	3	(	(	PUNCT
cana-4451	204	4	and	and	CCONJ
cana-4451	204	5	down	down	ADV
cana-4451	204	6	-	-	PUNCT
cana-4451	204	7	sampling	sampling	NOUN
cana-4451	204	8	)	)	PUNCT
cana-4451	204	9	layers	layer	NOUN
cana-4451	204	10	are	be	AUX
cana-4451	204	11	followed	follow	VERB
cana-4451	204	12	by	by	ADP
cana-4451	204	13	one	one	NUM
cana-4451	204	14	or	or	CCONJ
cana-4451	204	15	more	more	ADV
cana-4451	204	16	fully	fully	ADV
cana-4451	204	17	linked	link	VERB
cana-4451	204	18	layers	layer	NOUN
cana-4451	204	19	.	.	PUNCT
cana-4451	205	1	the	the	DET
cana-4451	205	2	last	last	ADJ
cana-4451	205	3	fully	fully	ADV
cana-4451	205	4	linked	link	VERB
cana-4451	205	5	layer	layer	NOUN
cana-4451	205	6	incorporates	incorporate	VERB
cana-4451	205	7	the	the	DET
cana-4451	205	8	attributes	attribute	NOUN
cana-4451	205	9	to	to	PART
cana-4451	205	10	classify	classify	VERB
cana-4451	205	11	the	the	DET
cana-4451	205	12	images	image	NOUN
cana-4451	205	13	.	.	PUNCT
cana-4451	206	1	this	this	PRON
cana-4451	206	2	explains	explain	VERB
cana-4451	206	3	why	why	SCONJ
cana-4451	206	4	the	the	DET
cana-4451	206	5	output	output	NOUN
cana-4451	206	6	size	size	NOUN
cana-4451	206	7	argument	argument	NOUN
cana-4451	206	8	of	of	ADP
cana-4451	206	9	the	the	DET
cana-4451	206	10	network	network	NOUN
cana-4451	206	11	's	's	PART
cana-4451	206	12	last	last	ADJ
cana-4451	206	13	fully	fully	ADV
cana-4451	206	14	linked	link	VERB
cana-4451	206	15	layer	layer	NOUN
cana-4451	206	16	equals	equal	VERB
cana-4451	206	17	the	the	DET
cana-4451	206	18	number	number	NOUN
cana-4451	206	19	of	of	ADP
cana-4451	206	20	classes	class	NOUN
cana-4451	206	21	in	in	ADP
cana-4451	206	22	the	the	DET
cana-4451	206	23	data	datum	NOUN
cana-4451	206	24	set	set	VERB
cana-4451	206	25	.	.	PUNCT
cana-4451	207	1	additionally	additionally	ADV
cana-4451	207	2	,	,	PUNCT
cana-4451	207	3	you	you	PRON
cana-4451	207	4	may	may	AUX
cana-4451	207	5	modify	modify	VERB
cana-4451	207	6	the	the	DET
cana-4451	207	7	regularization	regularization	NOUN
cana-4451	207	8	parameters	parameter	NOUN
cana-4451	207	9	and	and	CCONJ
cana-4451	207	10	learning	learn	VERB
cana-4451	207	11	rate	rate	NOUN
cana-4451	207	12	for	for	ADP
cana-4451	207	13	the	the	DET
cana-4451	207	14	fully	fully	ADV
cana-4451	207	15	connected	connect	VERB
cana-4451	207	16	layer	layer	NOUN
cana-4451	207	17	by	by	ADP
cana-4451	207	18	using	use	VERB
cana-4451	207	19	the	the	DET
cana-4451	207	20	corresponding	correspond	VERB
cana-4451	207	21	name	name	NOUN
cana-4451	207	22	-	-	PUNCT
cana-4451	207	23	value	value	NOUN
cana-4451	207	24	pair	pair	NOUN
cana-4451	207	25	arguments	argument	NOUN
cana-4451	207	26	when	when	SCONJ
cana-4451	207	27	creating	create	VERB
cana-4451	207	28	it	it	PRON
cana-4451	207	29	.	.	PUNCT
cana-4451	208	1	if	if	SCONJ
cana-4451	208	2	you	you	PRON
cana-4451	208	3	choose	choose	VERB
cana-4451	208	4	not	not	PART
cana-4451	208	5	to	to	PART
cana-4451	208	6	change	change	VERB
cana-4451	208	7	the	the	DET
cana-4451	208	8	global	global	ADJ
cana-4451	208	9	training	training	NOUN
cana-4451	208	10	parameters	parameter	NOUN
cana-4451	208	11	,	,	PUNCT
cana-4451	208	12	trainnetwork	trainnetwork	NOUN
cana-4451	208	13	uses	use	VERB
cana-4451	208	14	the	the	DET
cana-4451	208	15	ones	one	NOUN
cana-4451	208	16	that	that	PRON
cana-4451	208	17	are	be	AUX
cana-4451	208	18	supplied	supply	VERB
cana-4451	208	19	by	by	ADP
cana-4451	208	20	the	the	DET
cana-4451	208	21	training	training	NOUN
cana-4451	208	22	options	option	NOUN
cana-4451	208	23	function	function	NOUN
cana-4451	208	24	.	.	PUNCT
cana-4451	209	1	for	for	ADP
cana-4451	209	2	more	more	ADJ
cana-4451	209	3	on	on	ADP
cana-4451	209	4	global	global	ADJ
cana-4451	209	5	and	and	CCONJ
cana-4451	209	6	layer	layer	NOUN
cana-4451	209	7	training	training	NOUN
cana-4451	209	8	options	option	NOUN
cana-4451	209	9	.	.	PUNCT
cana-4451	210	1	3.4	3.4	NUM
cana-4451	210	2	experimentation	experimentation	NOUN
cana-4451	210	3	as	as	SCONJ
cana-4451	210	4	previously	previously	ADV
cana-4451	210	5	mentioned	mention	VERB
cana-4451	210	6	,	,	PUNCT
cana-4451	210	7	we	we	PRON
cana-4451	210	8	looked	look	VERB
cana-4451	210	9	at	at	ADP
cana-4451	210	10	two	two	NUM
cana-4451	210	11	distinct	distinct	ADJ
cana-4451	210	12	digital	digital	ADJ
cana-4451	210	13	pictures	picture	NOUN
cana-4451	210	14	of	of	ADP
cana-4451	210	15	skulls	skull	NOUN
cana-4451	210	16	:	:	PUNCT
cana-4451	210	17	one	one	NUM
cana-4451	210	18	with	with	ADP
cana-4451	210	19	mandibles	mandible	NOUN
cana-4451	210	20	and	and	CCONJ
cana-4451	210	21	one	one	NUM
cana-4451	210	22	without	without	ADP
cana-4451	210	23	.	.	PUNCT
cana-4451	211	1	we	we	PRON
cana-4451	211	2	first	first	ADV
cana-4451	211	3	used	use	VERB
cana-4451	211	4	each	each	DET
cana-4451	211	5	feature	feature	NOUN
cana-4451	211	6	extraction	extraction	NOUN
cana-4451	211	7	filter	filter	NOUN
cana-4451	211	8	separately	separately	ADV
cana-4451	211	9	in	in	ADP
cana-4451	211	10	order	order	NOUN
cana-4451	211	11	to	to	PART
cana-4451	211	12	have	have	AUX
cana-4451	211	13	a	a	DET
cana-4451	211	14	thorough	thorough	ADJ
cana-4451	211	15	grasp	grasp	NOUN
cana-4451	211	16	of	of	ADP
cana-4451	211	17	the	the	DET
cana-4451	211	18	factors	factor	NOUN
cana-4451	211	19	influencing	influence	VERB
cana-4451	211	20	the	the	DET
cana-4451	211	21	trial	trial	NOUN
cana-4451	211	22	results	result	NOUN
cana-4451	211	23	.	.	PUNCT
cana-4451	212	1	after	after	ADP
cana-4451	212	2	that	that	PRON
cana-4451	212	3	,	,	PUNCT
cana-4451	212	4	all	all	PRON
cana-4451	212	5	of	of	ADP
cana-4451	212	6	the	the	DET
cana-4451	212	7	feature	feature	NOUN
cana-4451	212	8	extraction	extraction	NOUN
cana-4451	212	9	filters	filter	NOUN
cana-4451	212	10	were	be	AUX
cana-4451	212	11	combined	combine	VERB
cana-4451	212	12	.	.	PUNCT
cana-4451	213	1	the	the	DET
cana-4451	213	2	steps	step	NOUN
cana-4451	213	3	in	in	ADP
cana-4451	213	4	using	use	VERB
cana-4451	213	5	cnn	cnn	PROPN
cana-4451	213	6	for	for	ADP
cana-4451	213	7	classification	classification	NOUN
cana-4451	213	8	can	can	AUX
cana-4451	213	9	be	be	AUX
cana-4451	213	10	seen	see	VERB
cana-4451	213	11	below	below	ADV
cana-4451	213	12	:	:	PUNCT
cana-4451	214	1	step1	step1	PROPN
cana-4451	214	2	.	.	PUNCT
cana-4451	215	1	preparing	prepare	VERB
cana-4451	215	2	the	the	DET
cana-4451	215	3	data	datum	NOUN
cana-4451	215	4	:	:	PUNCT
cana-4451	215	5	first	first	ADV
cana-4451	215	6	,	,	PUNCT
cana-4451	215	7	a	a	DET
cana-4451	215	8	dataset	dataset	NOUN
cana-4451	215	9	of	of	ADP
cana-4451	215	10	pictures	picture	NOUN
cana-4451	215	11	of	of	ADP
cana-4451	215	12	skulls	skull	NOUN
cana-4451	215	13	with	with	ADP
cana-4451	215	14	and	and	CCONJ
cana-4451	215	15	without	without	ADP
cana-4451	215	16	mandibles	mandible	NOUN
cana-4451	215	17	must	must	AUX
cana-4451	215	18	be	be	AUX
cana-4451	215	19	created	create	VERB
cana-4451	215	20	.	.	PUNCT
cana-4451	216	1	to	to	PART
cana-4451	216	2	make	make	VERB
cana-4451	216	3	sure	sure	ADJ
cana-4451	216	4	the	the	DET
cana-4451	216	5	photos	photo	NOUN
cana-4451	216	6	are	be	AUX
cana-4451	216	7	in	in	ADP
cana-4451	216	8	a	a	DET
cana-4451	216	9	format	format	NOUN
cana-4451	216	10	that	that	PRON
cana-4451	216	11	works	work	VERB
cana-4451	216	12	with	with	ADP
cana-4451	216	13	the	the	DET
cana-4451	216	14	model	model	NOUN
cana-4451	216	15	,	,	PUNCT
cana-4451	216	16	they	they	PRON
cana-4451	216	17	are	be	AUX
cana-4451	216	18	pre	pre	ADJ
cana-4451	216	19	-	-	VERB
cana-4451	216	20	processed	processed	ADJ
cana-4451	216	21	and	and	CCONJ
cana-4451	216	22	given	give	VERB
cana-4451	216	23	the	the	DET
cana-4451	216	24	appropriate	appropriate	ADJ
cana-4451	216	25	labels	label	NOUN
cana-4451	216	26	.	.	PUNCT
cana-4451	217	1	this	this	PRON
cana-4451	217	2	entails	entail	VERB
cana-4451	217	3	normalizing	normalize	VERB
cana-4451	217	4	pixel	pixel	ADJ
cana-4451	217	5	values	value	NOUN
cana-4451	217	6	for	for	ADP
cana-4451	217	7	consistent	consistent	ADJ
cana-4451	217	8	input	input	NOUN
cana-4451	217	9	and	and	CCONJ
cana-4451	217	10	scaling	scale	VERB
cana-4451	217	11	all	all	DET
cana-4451	217	12	photos	photo	NOUN
cana-4451	217	13	to	to	ADP
cana-4451	217	14	a	a	DET
cana-4451	217	15	given	give	VERB
cana-4451	217	16	dimension	dimension	NOUN
cana-4451	217	17	.	.	PUNCT
cana-4451	218	1	the	the	DET
cana-4451	218	2	pre	pre	ADJ
cana-4451	218	3	-	-	ADJ
cana-4451	218	4	processing	processing	ADJ
cana-4451	218	5	techniques	technique	NOUN
cana-4451	218	6	used	use	VERB
cana-4451	218	7	are	be	AUX
cana-4451	218	8	image	image	NOUN
cana-4451	218	9	noise	noise	NOUN
cana-4451	218	10	removal	removal	NOUN
cana-4451	218	11	,	,	PUNCT
cana-4451	218	12	image	image	NOUN
cana-4451	218	13	restoration	restoration	NOUN
cana-4451	218	14	and	and	CCONJ
cana-4451	218	15	image	image	NOUN
cana-4451	218	16	augmentation	augmentation	NOUN
cana-4451	218	17	.	.	PUNCT
cana-4451	219	1	step2	step2	PROPN
cana-4451	219	2	.	.	PUNCT
cana-4451	219	3	design	design	NOUN
cana-4451	219	4	of	of	ADP
cana-4451	219	5	the	the	DET
cana-4451	219	6	cnn	cnn	PROPN
cana-4451	219	7	model	model	NOUN
cana-4451	219	8	:	:	PUNCT
cana-4451	219	9	a	a	DET
cana-4451	219	10	cnn	cnn	PROPN
cana-4451	219	11	model	model	NOUN
cana-4451	219	12	is	be	AUX
cana-4451	219	13	made	make	VERB
cana-4451	219	14	to	to	PART
cana-4451	219	15	automatically	automatically	ADV
cana-4451	219	16	extract	extract	VERB
cana-4451	219	17	features	feature	NOUN
cana-4451	219	18	from	from	ADP
cana-4451	219	19	pictures	picture	NOUN
cana-4451	219	20	.	.	PUNCT
cana-4451	220	1	several	several	ADJ
cana-4451	220	2	convolutional	convolutional	ADJ
cana-4451	220	3	layers	layer	NOUN
cana-4451	220	4	and	and	CCONJ
cana-4451	220	5	pooling	pool	VERB
cana-4451	220	6	layers	layer	NOUN
cana-4451	220	7	,	,	PUNCT
cana-4451	220	8	which	which	PRON
cana-4451	220	9	lower	lower	VERB
cana-4451	220	10	the	the	DET
cana-4451	220	11	spatial	spatial	ADJ
cana-4451	220	12	dimensions	dimension	NOUN
cana-4451	220	13	while	while	SCONJ
cana-4451	220	14	preserving	preserve	VERB
cana-4451	220	15	crucial	crucial	ADJ
cana-4451	220	16	information	information	NOUN
cana-4451	220	17	,	,	PUNCT
cana-4451	220	18	are	be	AUX
cana-4451	220	19	commonly	commonly	ADV
cana-4451	220	20	included	include	VERB
cana-4451	220	21	in	in	ADP
cana-4451	220	22	the	the	DET
cana-4451	220	23	architecture	architecture	NOUN
cana-4451	220	24	.	.	PUNCT
cana-4451	221	1	the	the	DET
cana-4451	221	2	edges	edge	NOUN
cana-4451	221	3	,	,	PUNCT
cana-4451	221	4	forms	form	NOUN
cana-4451	221	5	,	,	PUNCT
cana-4451	221	6	and	and	CCONJ
cana-4451	221	7	textures	texture	NOUN
cana-4451	221	8	of	of	ADP
cana-4451	221	9	the	the	DET
cana-4451	221	10	skull	skull	NOUN
cana-4451	221	11	and	and	CCONJ
cana-4451	221	12	mandible	mandible	ADJ
cana-4451	221	13	regions	region	NOUN
cana-4451	221	14	are	be	AUX
cana-4451	221	15	captured	capture	VERB
cana-4451	221	16	by	by	ADP
cana-4451	221	17	these	these	DET
cana-4451	221	18	layers	layer	NOUN
cana-4451	221	19	.	.	PUNCT
cana-4451	222	1	following	follow	VERB
cana-4451	222	2	feature	feature	NOUN
cana-4451	222	3	extraction	extraction	NOUN
cana-4451	222	4	,	,	PUNCT
cana-4451	222	5	the	the	DET
cana-4451	222	6	model	model	NOUN
cana-4451	222	7	classifies	classify	VERB
cana-4451	222	8	the	the	DET
cana-4451	222	9	images	image	NOUN
cana-4451	222	10	as	as	ADP
cana-4451	222	11	either	either	CCONJ
cana-4451	222	12	"	"	PUNCT
cana-4451	222	13	with	with	ADP
cana-4451	222	14	mandible	mandible	NOUN
cana-4451	222	15	"	"	PUNCT
cana-4451	222	16	or	or	CCONJ
cana-4451	222	17	"	"	PUNCT
cana-4451	222	18	without	without	ADP
cana-4451	222	19	mandible	mandible	NOUN
cana-4451	222	20	"	"	PUNCT
cana-4451	222	21	using	use	VERB
cana-4451	222	22	fully	fully	ADV
cana-4451	222	23	connected	connected	ADJ
cana-4451	222	24	layers	layer	NOUN
cana-4451	222	25	.	.	PUNCT
cana-4451	223	1	the	the	DET
cana-4451	223	2	features	feature	NOUN
cana-4451	223	3	extracted	extract	VERB
cana-4451	223	4	are	be	AUX
cana-4451	223	5	glcm	glcm	NOUN
cana-4451	223	6	features	feature	NOUN
cana-4451	223	7	,	,	PUNCT
cana-4451	223	8	wavelet	wavelet	NOUN
cana-4451	223	9	feature	feature	NOUN
cana-4451	223	10	,	,	PUNCT
cana-4451	223	11	gabor	gabor	PROPN
cana-4451	223	12	features	feature	NOUN
cana-4451	223	13	and	and	CCONJ
cana-4451	223	14	fractal	fractal	ADJ
cana-4451	223	15	features	feature	NOUN
cana-4451	223	16	.	.	PUNCT
cana-4451	224	1	step3	step3	PROPN
cana-4451	224	2	.	.	PUNCT
cana-4451	225	1	training	training	NOUN
cana-4451	225	2	:	:	PUNCT
cana-4451	225	3	using	use	VERB
cana-4451	225	4	optimizers	optimizer	NOUN
cana-4451	225	5	such	such	ADJ
cana-4451	225	6	as	as	ADP
cana-4451	225	7	adam	adam	PROPN
cana-4451	225	8	,	,	PUNCT
cana-4451	225	9	the	the	DET
cana-4451	225	10	cnn	cnn	PROPN
cana-4451	225	11	is	be	AUX
cana-4451	225	12	trained	train	VERB
cana-4451	225	13	on	on	ADP
cana-4451	225	14	a	a	DET
cana-4451	225	15	labelled	label	VERB
cana-4451	225	16	dataset	dataset	NOUN
cana-4451	225	17	with	with	ADP
cana-4451	225	18	binary	binary	PROPN
cana-4451	225	19	cross	cross	PROPN
cana-4451	225	20	-	-	ADJ
cana-4451	225	21	entropy	entropy	ADJ
cana-4451	225	22	loss	loss	NOUN
cana-4451	225	23	.	.	PUNCT
cana-4451	226	1	to	to	PART
cana-4451	226	2	make	make	VERB
cana-4451	226	3	the	the	DET
cana-4451	226	4	model	model	NOUN
cana-4451	226	5	more	more	ADV
cana-4451	226	6	robust	robust	ADJ
cana-4451	226	7	,	,	PUNCT
cana-4451	226	8	data	datum	NOUN
cana-4451	226	9	augmentation	augmentation	NOUN
cana-4451	226	10	methods	method	NOUN
cana-4451	226	11	like	like	ADP
cana-4451	226	12	flipping	flip	VERB
cana-4451	226	13	and	and	CCONJ
cana-4451	226	14	rotation	rotation	NOUN
cana-4451	226	15	are	be	AUX
cana-4451	226	16	applied	apply	VERB
cana-4451	226	17	.	.	PUNCT
cana-4451	227	1	step4	step4	PROPN
cana-4451	227	2	.	.	PUNCT
cana-4451	228	1	evaluation	evaluation	NOUN
cana-4451	228	2	:	:	PUNCT
cana-4451	228	3	after	after	ADP
cana-4451	228	4	training	training	NOUN
cana-4451	228	5	,	,	PUNCT
cana-4451	228	6	the	the	DET
cana-4451	228	7	model	model	NOUN
cana-4451	228	8	's	's	PART
cana-4451	228	9	ability	ability	NOUN
cana-4451	228	10	to	to	PART
cana-4451	228	11	classify	classify	VERB
cana-4451	228	12	skulls	skull	NOUN
cana-4451	228	13	is	be	AUX
cana-4451	228	14	evaluated	evaluate	VERB
cana-4451	228	15	on	on	ADP
cana-4451	228	16	a	a	DET
cana-4451	228	17	validation	validation	NOUN
cana-4451	228	18	set	set	NOUN
cana-4451	228	19	using	use	VERB
cana-4451	228	20	metrics	metric	NOUN
cana-4451	228	21	like	like	ADP
cana-4451	228	22	as	as	ADP
cana-4451	228	23	recall	recall	NOUN
cana-4451	228	24	,	,	PUNCT
cana-4451	228	25	accuracy	accuracy	NOUN
cana-4451	228	26	,	,	PUNCT
cana-4451	228	27	and	and	CCONJ
cana-4451	228	28	precision	precision	NOUN
cana-4451	228	29	.	.	PUNCT
cana-4451	229	1	by	by	ADP
cana-4451	229	2	using	use	VERB
cana-4451	229	3	this	this	DET
cana-4451	229	4	method	method	NOUN
cana-4451	229	5	,	,	PUNCT
cana-4451	229	6	cnns	cnn	NOUN
cana-4451	229	7	can	can	AUX
cana-4451	229	8	efficiently	efficiently	ADV
cana-4451	229	9	categorize	categorize	VERB
cana-4451	229	10	photos	photo	NOUN
cana-4451	229	11	of	of	ADP
cana-4451	229	12	skulls	skull	NOUN
cana-4451	229	13	according	accord	VERB
cana-4451	229	14	to	to	ADP
cana-4451	229	15	whether	whether	SCONJ
cana-4451	229	16	the	the	DET
cana-4451	229	17	mandible	mandible	NOUN
cana-4451	229	18	is	be	AUX
cana-4451	229	19	present	present	ADJ
cana-4451	229	20	or	or	CCONJ
cana-4451	229	21	not	not	PART
cana-4451	229	22	.	.	PUNCT
cana-4451	230	1	communications	communication	NOUN
cana-4451	230	2	on	on	ADP
cana-4451	230	3	applied	apply	VERB
cana-4451	230	4	nonlinear	nonlinear	ADJ
cana-4451	230	5	analysis	analysis	NOUN
cana-4451	230	6	issn	issn	NOUN
cana-4451	230	7	:	:	PUNCT
cana-4451	230	8	1074	1074	NUM
cana-4451	230	9	-	-	PUNCT
cana-4451	230	10	133x	133x	NUM
cana-4451	230	11	vol	vol	NOUN
cana-4451	230	12	32	32	NUM
cana-4451	230	13	no	no	NOUN
cana-4451	230	14	.	.	PUNCT
cana-4451	231	1	9s	9s	NUM
cana-4451	231	2	(	(	PUNCT
cana-4451	231	3	2025	2025	NUM
cana-4451	231	4	)	)	PUNCT
cana-4451	231	5	2109	2109	NUM
cana-4451	231	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4451	231	7	4	4	X
cana-4451	231	8	.	.	NOUN
cana-4451	231	9	results	result	NOUN
cana-4451	231	10	and	and	CCONJ
cana-4451	231	11	discussions	discussion	NOUN
cana-4451	231	12	accuracy	accuracy	NOUN
cana-4451	231	13	of	of	ADP
cana-4451	231	14	the	the	DET
cana-4451	231	15	cnn	cnn	PROPN
cana-4451	231	16	model	model	NOUN
cana-4451	231	17	is	be	AUX
cana-4451	231	18	calculated	calculate	VERB
cana-4451	231	19	using	use	VERB
cana-4451	231	20	below	below	ADP
cana-4451	231	21	equation	equation	NOUN
cana-4451	231	22	.	.	PUNCT
cana-4451	232	1	the	the	DET
cana-4451	232	2	sum	sum	NOUN
cana-4451	232	3	of	of	ADP
cana-4451	232	4	true	true	ADJ
cana-4451	232	5	negative	negative	ADJ
cana-4451	232	6	-	-	PUNCT
cana-4451	232	7	tn	tn	NOUN
cana-4451	232	8	and	and	CCONJ
cana-4451	232	9	true	true	ADJ
cana-4451	232	10	positive	positive	ADJ
cana-4451	232	11	-	-	PUNCT
cana-4451	232	12	tp	tp	NOUN
cana-4451	232	13	,	,	PUNCT
cana-4451	232	14	classification	classification	NOUN
cana-4451	232	15	ratio	ratio	NOUN
cana-4451	232	16	to	to	ADP
cana-4451	232	17	the	the	DET
cana-4451	232	18	total	total	ADJ
cana-4451	232	19	instants	instant	NOUN
cana-4451	232	20	.	.	PUNCT
cana-4451	233	1	accuracy	accuracy	NOUN
cana-4451	233	2	=	=	SYM
cana-4451	233	3	𝑇𝑟𝑢𝑒𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑇𝑟𝑢𝑒𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
cana-4451	233	4	+	+	PROPN
cana-4451	233	5	𝑇𝑟𝑢𝑒𝑛𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	𝑇𝑟𝑢𝑒𝑛𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	PROPN
cana-4451	233	6	𝑇𝑟𝑢𝑒𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	𝑇𝑟𝑢𝑒𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠	PROPN
cana-4451	233	7	+	+	CCONJ
cana-4451	233	8	𝐹𝑎𝑙𝑠𝑒𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠+𝑇𝑟𝑢𝑒𝑛𝑒𝑎𝑔𝑡𝑖𝑣𝑒𝑠+	𝐹𝑎𝑙𝑠𝑒𝑝𝑜𝑠𝑖𝑡𝑖𝑣𝑒𝑠+𝑇𝑟𝑢𝑒𝑛𝑒𝑎𝑔𝑡𝑖𝑣𝑒𝑠+	PROPN
cana-4451	233	9	𝐹𝑎𝑙𝑠𝑒𝑛𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	𝐹𝑎𝑙𝑠𝑒𝑛𝑒𝑔𝑎𝑡𝑖𝑣𝑒𝑠	PROPN
cana-4451	233	10	(	(	PUNCT
cana-4451	233	11	2	2	X
cana-4451	233	12	)	)	PUNCT
cana-4451	233	13	accuracy	accuracy	NOUN
cana-4451	233	14	is	be	AUX
cana-4451	233	15	evaluated	evaluate	VERB
cana-4451	233	16	for	for	ADP
cana-4451	233	17	testing	testing	NOUN
cana-4451	233	18	data	datum	NOUN
cana-4451	233	19	using	use	VERB
cana-4451	233	20	svm	svm	ADJ
cana-4451	233	21	algorithm	algorithm	NOUN
cana-4451	233	22	and	and	CCONJ
cana-4451	233	23	cnn	cnn	PROPN
cana-4451	233	24	algorithm	algorithm	NOUN
cana-4451	233	25	and	and	CCONJ
cana-4451	233	26	also	also	ADV
cana-4451	233	27	for	for	ADP
cana-4451	233	28	different	different	ADJ
cana-4451	233	29	number	number	NOUN
cana-4451	233	30	of	of	ADP
cana-4451	233	31	test	test	NOUN
cana-4451	233	32	images	image	NOUN
cana-4451	233	33	.	.	PUNCT
cana-4451	234	1	and	and	CCONJ
cana-4451	234	2	its	its	PRON
cana-4451	234	3	different	different	ADJ
cana-4451	234	4	instances	instance	NOUN
cana-4451	234	5	are	be	AUX
cana-4451	234	6	discussed	discuss	VERB
cana-4451	234	7	below	below	ADV
cana-4451	234	8	.	.	PUNCT
cana-4451	235	1	the	the	DET
cana-4451	235	2	confusion	confusion	NOUN
cana-4451	235	3	matrix(cm	matrix(cm	NOUN
cana-4451	235	4	)	)	PUNCT
cana-4451	235	5	for	for	ADP
cana-4451	235	6	classification	classification	NOUN
cana-4451	235	7	of	of	ADP
cana-4451	235	8	skulls	skull	NOUN
cana-4451	235	9	with	with	ADP
cana-4451	235	10	and	and	CCONJ
cana-4451	235	11	without	without	ADP
cana-4451	235	12	mandibles	mandible	NOUN
cana-4451	235	13	using	use	VERB
cana-4451	235	14	svm	svm	PROPN
cana-4451	235	15	is	be	AUX
cana-4451	235	16	given	give	VERB
cana-4451	235	17	in	in	ADP
cana-4451	235	18	figure.4	figure.4	PROPN
cana-4451	235	19	with	with	ADP
cana-4451	235	20	an	an	DET
cana-4451	235	21	accuracy0.8333	accuracy0.8333	NOUN
cana-4451	235	22	.	.	PUNCT
cana-4451	236	1	the	the	DET
cana-4451	236	2	cm	cm	NOUN
cana-4451	236	3	for	for	ADP
cana-4451	236	4	classification	classification	NOUN
cana-4451	236	5	of	of	ADP
cana-4451	236	6	skulls	skull	NOUN
cana-4451	236	7	with	with	ADP
cana-4451	236	8	and	and	CCONJ
cana-4451	236	9	without	without	ADP
cana-4451	236	10	mandibles	mandible	NOUN
cana-4451	236	11	using	use	VERB
cana-4451	236	12	svm	svm	PROPN
cana-4451	236	13	is	be	AUX
cana-4451	236	14	given	give	VERB
cana-4451	236	15	in	in	ADP
cana-4451	236	16	figure.5	figure.5	PROPN
cana-4451	236	17	with	with	ADP
cana-4451	236	18	an	an	DET
cana-4451	236	19	accuracy-0.1	accuracy-0.1	ADJ
cana-4451	236	20	figure	figure	NOUN
cana-4451	236	21	4	4	NUM
cana-4451	236	22	.	.	NOUN
cana-4451	236	23	cm	cm	NOUN
cana-4451	236	24	for	for	ADP
cana-4451	236	25	svm	svm	PROPN
cana-4451	236	26	.	.	PROPN
cana-4451	236	27	figure	figure	NOUN
cana-4451	236	28	5	5	NUM
cana-4451	236	29	.	.	PUNCT
cana-4451	236	30	cm	cm	PROPN
cana-4451	236	31	for	for	ADP
cana-4451	236	32	cnn	cnn	PROPN
cana-4451	236	33	.	.	PUNCT
cana-4451	237	1	the	the	DET
cana-4451	237	2	accuracy	accuracy	NOUN
cana-4451	237	3	and	and	CCONJ
cana-4451	237	4	loss	loss	NOUN
cana-4451	237	5	plot	plot	NOUN
cana-4451	237	6	for	for	ADP
cana-4451	237	7	classification	classification	NOUN
cana-4451	237	8	of	of	ADP
cana-4451	237	9	skulls	skull	NOUN
cana-4451	237	10	with	with	ADP
cana-4451	237	11	and	and	CCONJ
cana-4451	237	12	without	without	ADP
cana-4451	237	13	mandibles	mandible	NOUN
cana-4451	237	14	using	use	VERB
cana-4451	237	15	cnn	cnn	PROPN
cana-4451	237	16	is	be	AUX
cana-4451	237	17	given	give	VERB
cana-4451	237	18	in	in	ADP
cana-4451	237	19	fig.6	fig.6	PROPN
cana-4451	237	20	with	with	ADP
cana-4451	237	21	an	an	DET
cana-4451	237	22	accuracy-0.1	accuracy-0.1	ADJ
cana-4451	237	23	and	and	CCONJ
cana-4451	237	24	loss	loss	NOUN
cana-4451	237	25	-0.0	-0.0	NOUN
cana-4451	237	26	for	for	ADP
cana-4451	237	27	100	100	NUM
cana-4451	237	28	epochs	epoch	NOUN
cana-4451	237	29	on	on	ADP
cana-4451	237	30	testing	test	VERB
cana-4451	237	31	data	datum	NOUN
cana-4451	237	32	figure	figure	NOUN
cana-4451	237	33	6	6	NUM
cana-4451	237	34	.	.	PUNCT
cana-4451	237	35	accuracy	accuracy	NOUN
cana-4451	237	36	and	and	CCONJ
cana-4451	237	37	loss	loss	NOUN
cana-4451	237	38	plot	plot	NOUN
cana-4451	237	39	for	for	ADP
cana-4451	237	40	testing	test	VERB
cana-4451	237	41	data	datum	NOUN
cana-4451	237	42	communications	communication	NOUN
cana-4451	237	43	on	on	ADP
cana-4451	237	44	applied	apply	VERB
cana-4451	237	45	nonlinear	nonlinear	ADJ
cana-4451	237	46	analysis	analysis	NOUN
cana-4451	237	47	issn	issn	NOUN
cana-4451	237	48	:	:	PUNCT
cana-4451	237	49	1074	1074	NUM
cana-4451	237	50	-	-	PUNCT
cana-4451	237	51	133x	133x	NUM
cana-4451	237	52	vol	vol	NOUN
cana-4451	237	53	32	32	NUM
cana-4451	237	54	no	no	NOUN
cana-4451	237	55	.	.	PUNCT
cana-4451	238	1	9s	9s	NUM
cana-4451	238	2	(	(	PUNCT
cana-4451	238	3	2025	2025	NUM
cana-4451	238	4	)	)	PUNCT
cana-4451	238	5	2110	2110	NUM
cana-4451	238	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4451	239	1	the	the	DET
cana-4451	239	2	performance	performance	NOUN
cana-4451	239	3	of	of	ADP
cana-4451	239	4	proposed	propose	VERB
cana-4451	239	5	model	model	NOUN
cana-4451	239	6	with	with	ADP
cana-4451	239	7	its	its	PRON
cana-4451	239	8	objective	objective	NOUN
cana-4451	239	9	,	,	PUNCT
cana-4451	239	10	method	method	NOUN
cana-4451	239	11	approached	approach	VERB
cana-4451	239	12	and	and	CCONJ
cana-4451	239	13	accuracy	accuracy	NOUN
cana-4451	239	14	rate	rate	NOUN
cana-4451	239	15	is	be	AUX
cana-4451	239	16	compared	compare	VERB
cana-4451	239	17	with	with	ADP
cana-4451	239	18	previous	previous	ADJ
cana-4451	239	19	existing	exist	VERB
cana-4451	239	20	works	work	NOUN
cana-4451	239	21	and	and	CCONJ
cana-4451	239	22	it	it	PRON
cana-4451	239	23	is	be	AUX
cana-4451	239	24	detailed	detail	VERB
cana-4451	239	25	in	in	ADP
cana-4451	239	26	the	the	DET
cana-4451	239	27	table	table	NOUN
cana-4451	239	28	,	,	PUNCT
cana-4451	239	29	table.1	table.1	PROPN
cana-4451	239	30	table.1	table.1	PROPN
cana-4451	239	31	.	.	PUNCT
cana-4451	240	1	comparison	comparison	NOUN
cana-4451	240	2	with	with	ADP
cana-4451	240	3	the	the	DET
cana-4451	240	4	previous	previous	ADJ
cana-4451	240	5	works	work	NOUN
cana-4451	240	6	:	:	PUNCT
cana-4451	240	7	previous	previous	ADJ
cana-4451	240	8	work	work	NOUN
cana-4451	240	9	objective	objective	ADJ
cana-4451	240	10	method	method	NOUN
cana-4451	240	11	approached	approach	VERB
cana-4451	240	12	accuracy	accuracy	NOUN
cana-4451	240	13	%	%	NOUN
cana-4451	241	1	[	[	X
cana-4451	241	2	3	3	X
cana-4451	241	3	]	]	X
cana-4451	241	4	live	live	ADJ
cana-4451	241	5	human	human	ADJ
cana-4451	241	6	face[lhf	face[lhf	PROPN
cana-4451	241	7	]	]	PUNCT
cana-4451	241	8	pca(principle	pca(principle	PROPN
cana-4451	241	9	component	component	NOUN
cana-4451	241	10	analysis	analysis	NOUN
cana-4451	241	11	)	)	PUNCT
cana-4451	241	12	97.60	97.60	NUM
cana-4451	242	1	[	[	X
cana-4451	242	2	4	4	NUM
cana-4451	242	3	]	]	PUNCT
cana-4451	242	4	lhf	lhf	NOUN
cana-4451	242	5	dual	dual	ADJ
cana-4451	242	6	-	-	PUNCT
cana-4451	242	7	tree	tree	NOUN
cana-4451	242	8	complex	complex	ADJ
cana-4451	242	9	wavelet	wavelet	NOUN
cana-4451	242	10	transform(dt	transform(dt	PROPN
cana-4451	242	11	-	-	PUNCT
cana-4451	242	12	cwt	cwt	NOUN
cana-4451	242	13	)	)	PUNCT
cana-4451	242	14	94.67	94.67	NUM
cana-4451	242	15	[	[	X
cana-4451	242	16	5	5	NUM
cana-4451	242	17	]	]	PUNCT
cana-4451	242	18	lhf	lhf	PROPN
cana-4451	242	19	pca	pca	PROPN
cana-4451	242	20	,	,	PUNCT
cana-4451	242	21	pso(practical	pso(practical	ADJ
cana-4451	242	22	swarm	swarm	NOUN
cana-4451	242	23	optimization	optimization	NOUN
cana-4451	242	24	)	)	PUNCT
cana-4451	242	25	–	–	PUNCT
cana-4451	242	26	svm	svm	VERB
cana-4451	242	27	98.0	98.0	NUM
cana-4451	242	28	[	[	X
cana-4451	242	29	7	7	X
cana-4451	242	30	]	]	PUNCT
cana-4451	242	31	lhf	lhf	PROPN
cana-4451	242	32	euclidean	euclidean	PROPN
cana-4451	242	33	gaussian	gaussian	PROPN
cana-4451	242	34	mixture	mixture	NOUN
cana-4451	242	35	-	-	PUNCT
cana-4451	242	36	egm	egm	NOUN
cana-4451	242	37	97.04	97.04	NUM
cana-4451	243	1	[	[	X
cana-4451	243	2	8	8	NUM
cana-4451	243	3	]	]	PUNCT
cana-4451	243	4	lhf	lhf	PROPN
cana-4451	243	5	cnn	cnn	PROPN
cana-4451	243	6	98.43	98.43	NUM
cana-4451	243	7	[	[	X
cana-4451	243	8	6	6	NUM
cana-4451	243	9	]	]	PUNCT
cana-4451	243	10	dead	dead	ADJ
cana-4451	243	11	human	human	ADJ
cana-4451	243	12	skull	skull	NOUN
cana-4451	243	13	svm	svm	PROPN
cana-4451	243	14	&	&	CCONJ
cana-4451	243	15	cnn	cnn	PROPN
cana-4451	243	16	83.33	83.33	NUM
cana-4451	243	17	&	&	CCONJ
cana-4451	243	18	99.50	99.50	NUM
cana-4451	243	19	our	our	PRON
cana-4451	243	20	research	research	NOUN
cana-4451	243	21	dead	dead	ADJ
cana-4451	243	22	human	human	PROPN
cana-4451	243	23	skull	skull	PROPN
cana-4451	243	24	cnn	cnn	PROPN
cana-4451	243	25	with	with	ADP
cana-4451	243	26	4	4	NUM
cana-4451	243	27	specific	specific	ADJ
cana-4451	243	28	features	feature	NOUN
cana-4451	243	29	99.98	99.98	NUM
cana-4451	243	30	the	the	DET
cana-4451	243	31	accuracy	accuracy	NOUN
cana-4451	243	32	of	of	ADP
cana-4451	243	33	predictions	prediction	NOUN
cana-4451	243	34	is	be	AUX
cana-4451	243	35	influenced	influence	VERB
cana-4451	243	36	by	by	ADP
cana-4451	243	37	the	the	DET
cana-4451	243	38	quantity	quantity	NOUN
cana-4451	243	39	of	of	ADP
cana-4451	243	40	training	training	NOUN
cana-4451	243	41	and	and	CCONJ
cana-4451	243	42	testing	testing	NOUN
cana-4451	243	43	data	datum	NOUN
cana-4451	243	44	.	.	PUNCT
cana-4451	244	1	for	for	ADP
cana-4451	244	2	instance	instance	NOUN
cana-4451	244	3	,	,	PUNCT
cana-4451	244	4	we	we	PRON
cana-4451	244	5	achieved	achieve	VERB
cana-4451	244	6	an	an	DET
cana-4451	244	7	accuracy	accuracy	NOUN
cana-4451	244	8	rate	rate	NOUN
cana-4451	244	9	of	of	ADP
cana-4451	244	10	83.33	83.33	NUM
cana-4451	244	11	%	%	NOUN
cana-4451	244	12	using	use	VERB
cana-4451	244	13	the	the	DET
cana-4451	244	14	glcm	glcm	NOUN
cana-4451	244	15	filter	filter	NOUN
cana-4451	244	16	using	use	VERB
cana-4451	244	17	just	just	ADV
cana-4451	244	18	one	one	NUM
cana-4451	244	19	training	training	NOUN
cana-4451	244	20	data	datum	NOUN
cana-4451	244	21	item	item	NOUN
cana-4451	244	22	.	.	PUNCT
cana-4451	245	1	on	on	ADP
cana-4451	245	2	testing	test	VERB
cana-4451	245	3	data	datum	NOUN
cana-4451	245	4	,	,	PUNCT
cana-4451	245	5	however	however	ADV
cana-4451	245	6	,	,	PUNCT
cana-4451	245	7	the	the	DET
cana-4451	245	8	accuracy	accuracy	NOUN
cana-4451	245	9	rate	rate	NOUN
cana-4451	245	10	was	be	AUX
cana-4451	245	11	99.98	99.98	NUM
cana-4451	245	12	%	%	NOUN
cana-4451	245	13	when	when	SCONJ
cana-4451	245	14	we	we	PRON
cana-4451	245	15	employed	employ	VERB
cana-4451	245	16	100	100	NUM
cana-4451	245	17	epochs	epoch	NOUN
cana-4451	245	18	.	.	PUNCT
cana-4451	246	1	therefore	therefore	ADV
cana-4451	246	2	,	,	PUNCT
cana-4451	246	3	a	a	DET
cana-4451	246	4	higher	high	ADJ
cana-4451	246	5	accuracy	accuracy	NOUN
cana-4451	246	6	will	will	AUX
cana-4451	246	7	be	be	AUX
cana-4451	246	8	obtained	obtain	VERB
cana-4451	246	9	with	with	ADP
cana-4451	246	10	more	more	ADV
cana-4451	246	11	used	use	VERB
cana-4451	246	12	training	training	NOUN
cana-4451	246	13	data	datum	NOUN
cana-4451	246	14	.	.	PUNCT
cana-4451	247	1	accuracy	accuracy	NOUN
cana-4451	247	2	rate	rate	NOUN
cana-4451	247	3	for	for	ADP
cana-4451	247	4	when	when	SCONJ
cana-4451	247	5	1,2,3,4	1,2,3,4	NUM
cana-4451	247	6	&	&	CCONJ
cana-4451	247	7	5	5	NUM
cana-4451	247	8	number	number	NOUN
cana-4451	247	9	of	of	ADP
cana-4451	247	10	images	image	NOUN
cana-4451	247	11	used	use	VERB
cana-4451	247	12	for	for	ADP
cana-4451	247	13	testing	testing	NOUN
cana-4451	247	14	is	be	AUX
cana-4451	247	15	detailed	detail	VERB
cana-4451	247	16	in	in	ADP
cana-4451	247	17	table.2	table.2	PROPN
cana-4451	247	18	.	.	PUNCT
cana-4451	248	1	and	and	CCONJ
cana-4451	248	2	visualized	visualize	VERB
cana-4451	248	3	in	in	ADP
cana-4451	248	4	figure.7	figure.7	NOUN
cana-4451	248	5	.	.	PUNCT
cana-4451	249	1	table.2	table.2	PROPN
cana-4451	249	2	.	.	PUNCT
cana-4451	249	3	svm	svm	PROPN
cana-4451	249	4	vs	vs	ADP
cana-4451	249	5	cnn	cnn	PROPN
cana-4451	249	6	accuracy	accuracy	NOUN
cana-4451	249	7	rate	rate	NOUN
cana-4451	249	8	for	for	ADP
cana-4451	249	9	different	different	ADJ
cana-4451	249	10	number	number	NOUN
cana-4451	249	11	of	of	ADP
cana-4451	249	12	test	test	NOUN
cana-4451	249	13	images	image	NOUN
cana-4451	249	14	no	no	INTJ
cana-4451	249	15	.	.	PUNCT
cana-4451	250	1	of	of	ADP
cana-4451	250	2	images	image	NOUN
cana-4451	250	3	1	1	NUM
cana-4451	250	4	2	2	NUM
cana-4451	250	5	3	3	NUM
cana-4451	250	6	4	4	NUM
cana-4451	250	7	5	5	NUM
cana-4451	250	8	svm	svm	NOUN
cana-4451	250	9	83.3	83.3	NUM
cana-4451	250	10	3	3	NUM
cana-4451	250	11	83.33	83.33	NUM
cana-4451	250	12	83.33	83.33	NUM
cana-4451	250	13	83.33	83.33	NUM
cana-4451	250	14	83.33	83.33	NUM
cana-4451	250	15	cnn	cnn	PROPN
cana-4451	250	16	99.6	99.6	NUM
cana-4451	250	17	8	8	NUM
cana-4451	250	18	99.98	99.98	NUM
cana-4451	250	19	99.72	99.72	NUM
cana-4451	250	20	99.98	99.98	NUM
cana-4451	250	21	99.01	99.01	NUM
cana-4451	250	22	communications	communication	NOUN
cana-4451	250	23	on	on	ADP
cana-4451	250	24	applied	apply	VERB
cana-4451	250	25	nonlinear	nonlinear	ADJ
cana-4451	250	26	analysis	analysis	NOUN
cana-4451	250	27	issn	issn	NOUN
cana-4451	250	28	:	:	PUNCT
cana-4451	250	29	1074	1074	NUM
cana-4451	250	30	-	-	PUNCT
cana-4451	250	31	133x	133x	NUM
cana-4451	250	32	vol	vol	NOUN
cana-4451	250	33	32	32	NUM
cana-4451	251	1	no	no	NOUN
cana-4451	251	2	.	.	PUNCT
cana-4451	252	1	9s	9s	NUM
cana-4451	252	2	(	(	PUNCT
cana-4451	252	3	2025	2025	NUM
cana-4451	252	4	)	)	PUNCT
cana-4451	252	5	2111	2111	NUM
cana-4451	252	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4451	252	7	figure.7	figure.7	NOUN
cana-4451	252	8	.	.	PUNCT
cana-4451	253	1	accuracy	accuracy	NOUN
cana-4451	253	2	rate	rate	NOUN
cana-4451	253	3	svm	svm	PROPN
cana-4451	253	4	(	(	PUNCT
cana-4451	253	5	blue	blue	ADJ
cana-4451	253	6	)	)	PUNCT
cana-4451	253	7	and	and	CCONJ
cana-4451	253	8	cnn	cnn	PROPN
cana-4451	253	9	(	(	PUNCT
cana-4451	253	10	red	red	PROPN
cana-4451	253	11	)	)	PUNCT
cana-4451	253	12	.	.	PUNCT
cana-4451	254	1	5	5	X
cana-4451	254	2	.	.	X
cana-4451	254	3	conclusion	conclusion	NOUN
cana-4451	254	4	using	use	VERB
cana-4451	254	5	feature	feature	NOUN
cana-4451	254	6	extraction	extraction	NOUN
cana-4451	254	7	in	in	ADP
cana-4451	254	8	conjunction	conjunction	NOUN
cana-4451	254	9	with	with	ADP
cana-4451	254	10	a	a	DET
cana-4451	254	11	cnn	cnn	NOUN
cana-4451	254	12	,	,	PUNCT
cana-4451	254	13	we	we	PRON
cana-4451	254	14	created	create	VERB
cana-4451	254	15	an	an	DET
cana-4451	254	16	automated	automate	VERB
cana-4451	254	17	computerized	computerized	ADJ
cana-4451	254	18	digital	digital	ADJ
cana-4451	254	19	forensics	forensic	NOUN
cana-4451	254	20	method	method	NOUN
cana-4451	254	21	for	for	ADP
cana-4451	254	22	identifying	identify	VERB
cana-4451	254	23	human	human	ADJ
cana-4451	254	24	skulls	skull	NOUN
cana-4451	254	25	.	.	PUNCT
cana-4451	255	1	we	we	PRON
cana-4451	255	2	classified	classify	VERB
cana-4451	255	3	human	human	ADJ
cana-4451	255	4	skulls	skull	NOUN
cana-4451	255	5	with	with	ADP
cana-4451	255	6	and	and	CCONJ
cana-4451	255	7	without	without	ADP
cana-4451	255	8	mandibles	mandible	NOUN
cana-4451	255	9	using	use	VERB
cana-4451	255	10	a	a	DET
cana-4451	255	11	digital	digital	ADJ
cana-4451	255	12	forensics	forensic	NOUN
cana-4451	255	13	framework	framework	NOUN
cana-4451	255	14	.	.	PUNCT
cana-4451	256	1	four	four	NUM
cana-4451	256	2	distinct	distinct	ADJ
cana-4451	256	3	feature	feature	NOUN
cana-4451	256	4	extraction	extraction	NOUN
cana-4451	256	5	filters	filter	NOUN
cana-4451	256	6	were	be	AUX
cana-4451	256	7	examined	examine	VERB
cana-4451	256	8	,	,	PUNCT
cana-4451	256	9	and	and	CCONJ
cana-4451	256	10	the	the	DET
cana-4451	256	11	results	result	NOUN
cana-4451	256	12	showed	show	VERB
cana-4451	256	13	varying	vary	VERB
cana-4451	256	14	classification	classification	NOUN
cana-4451	256	15	accuracies	accuracy	NOUN
cana-4451	256	16	.	.	PUNCT
cana-4451	257	1	using	use	VERB
cana-4451	257	2	gabor	gabor	PROPN
cana-4451	257	3	and	and	CCONJ
cana-4451	257	4	fractal	fractal	ADJ
cana-4451	257	5	feature	feature	NOUN
cana-4451	257	6	-	-	PUNCT
cana-4451	257	7	derived	derive	VERB
cana-4451	257	8	characteristics	characteristic	NOUN
cana-4451	257	9	,	,	PUNCT
cana-4451	257	10	gclm	gclm	PROPN
cana-4451	257	11	obtained	obtain	VERB
cana-4451	257	12	the	the	DET
cana-4451	257	13	highest	high	ADJ
cana-4451	257	14	accuracy	accuracy	NOUN
cana-4451	257	15	(	(	PUNCT
cana-4451	257	16	>	>	X
cana-4451	257	17	99.98	99.98	NUM
cana-4451	257	18	%	%	NOUN
cana-4451	257	19	)	)	PUNCT
cana-4451	257	20	.	.	PUNCT
cana-4451	258	1	conversely	conversely	ADV
cana-4451	258	2	,	,	PUNCT
cana-4451	258	3	dwt	dwt	PROPN
cana-4451	258	4	characteristics	characteristic	NOUN
cana-4451	258	5	produced	produce	VERB
cana-4451	258	6	identification	identification	NOUN
cana-4451	258	7	prediction	prediction	NOUN
cana-4451	258	8	accuracies	accuracy	NOUN
cana-4451	258	9	of	of	ADP
cana-4451	258	10	less	less	ADJ
cana-4451	258	11	than	than	ADP
cana-4451	258	12	99.72	99.72	NUM
cana-4451	258	13	%	%	NOUN
cana-4451	258	14	.	.	PUNCT
cana-4451	259	1	for	for	ADP
cana-4451	259	2	skulls	skull	NOUN
cana-4451	259	3	with	with	ADP
cana-4451	259	4	and	and	CCONJ
cana-4451	259	5	without	without	ADP
cana-4451	259	6	mandibles	mandible	NOUN
cana-4451	259	7	as	as	ADP
cana-4451	259	8	accuracy	accuracy	NOUN
cana-4451	259	9	of	of	ADP
cana-4451	259	10	>	>	PRON
cana-4451	259	11	99.98	99.98	NUM
cana-4451	259	12	%	%	NOUN
cana-4451	259	13	.	.	PUNCT
cana-4451	260	1	as	as	ADP
cana-4451	260	2	a	a	DET
cana-4451	260	3	result	result	NOUN
cana-4451	260	4	,	,	PUNCT
cana-4451	260	5	each	each	DET
cana-4451	260	6	human	human	ADJ
cana-4451	260	7	skull	skull	NOUN
cana-4451	260	8	has	have	VERB
cana-4451	260	9	distinct	distinct	ADJ
cana-4451	260	10	characteristics	characteristic	NOUN
cana-4451	260	11	that	that	PRON
cana-4451	260	12	can	can	AUX
cana-4451	260	13	be	be	AUX
cana-4451	260	14	utilized	utilize	VERB
cana-4451	260	15	to	to	PART
cana-4451	260	16	identify	identify	VERB
cana-4451	260	17	it	it	PRON
cana-4451	260	18	in	in	ADP
cana-4451	260	19	forensic	forensic	ADJ
cana-4451	260	20	applications	application	NOUN
cana-4451	260	21	,	,	PUNCT
cana-4451	260	22	particularly	particularly	ADV
cana-4451	260	23	in	in	ADP
cana-4451	260	24	the	the	DET
cana-4451	260	25	management	management	NOUN
cana-4451	260	26	of	of	ADP
cana-4451	260	27	physical	physical	ADJ
cana-4451	260	28	anthropological	anthropological	ADJ
cana-4451	260	29	collections	collection	NOUN
cana-4451	260	30	.	.	PUNCT
cana-4451	261	1	future	future	ADJ
cana-4451	261	2	study	study	NOUN
cana-4451	261	3	on	on	ADP
cana-4451	261	4	skull	skull	NOUN
cana-4451	261	5	identification	identification	NOUN
cana-4451	261	6	can	can	AUX
cana-4451	261	7	go	go	VERB
cana-4451	261	8	in	in	ADP
cana-4451	261	9	a	a	DET
cana-4451	261	10	number	number	NOUN
cana-4451	261	11	of	of	ADP
cana-4451	261	12	areas	area	NOUN
cana-4451	261	13	.	.	PUNCT
cana-4451	262	1	future	future	ADJ
cana-4451	262	2	studies	study	NOUN
cana-4451	262	3	must	must	AUX
cana-4451	262	4	refine	refine	VERB
cana-4451	262	5	the	the	DET
cana-4451	262	6	combined	combine	VERB
cana-4451	262	7	feature	feature	NOUN
cana-4451	262	8	extraction	extraction	NOUN
cana-4451	262	9	and	and	CCONJ
cana-4451	262	10	classification	classification	NOUN
cana-4451	262	11	approach	approach	NOUN
cana-4451	262	12	and	and	CCONJ
cana-4451	262	13	explore	explore	VERB
cana-4451	262	14	other	other	ADJ
cana-4451	262	15	feature	feature	NOUN
cana-4451	262	16	extraction	extraction	NOUN
cana-4451	262	17	and	and	CCONJ
cana-4451	262	18	classification	classification	NOUN
cana-4451	262	19	strategies	strategy	NOUN
cana-4451	262	20	for	for	ADP
cana-4451	262	21	performance	performance	NOUN
cana-4451	262	22	comparisons	comparison	NOUN
cana-4451	262	23	.	.	PUNCT
cana-4451	263	1	the	the	DET
cana-4451	263	2	primary	primary	ADJ
cana-4451	263	3	goal	goal	NOUN
cana-4451	263	4	of	of	ADP
cana-4451	263	5	such	such	ADJ
cana-4451	263	6	future	future	ADJ
cana-4451	263	7	studies	study	NOUN
cana-4451	263	8	may	may	AUX
cana-4451	263	9	be	be	AUX
cana-4451	263	10	to	to	PART
cana-4451	263	11	use	use	VERB
cana-4451	263	12	more	more	ADJ
cana-4451	263	13	skull	skull	NOUN
cana-4451	263	14	data	datum	NOUN
cana-4451	263	15	while	while	SCONJ
cana-4451	263	16	applying	apply	VERB
cana-4451	263	17	the	the	DET
cana-4451	263	18	transfer	transfer	NOUN
cana-4451	263	19	learning	learning	NOUN
cana-4451	263	20	approach	approach	NOUN
cana-4451	263	21	.	.	PUNCT
cana-4451	264	1	additionally	additionally	ADV
cana-4451	264	2	,	,	PUNCT
cana-4451	264	3	figuring	figure	VERB
cana-4451	264	4	out	out	ADP
cana-4451	264	5	the	the	DET
cana-4451	264	6	age	age	NOUN
cana-4451	264	7	and	and	CCONJ
cana-4451	264	8	gender	gender	NOUN
cana-4451	264	9	of	of	ADP
cana-4451	264	10	the	the	DET
cana-4451	264	11	human	human	NOUN
cana-4451	264	12	-	-	PUNCT
cana-4451	264	13	skulls	skull	NOUN
cana-4451	264	14	will	will	AUX
cana-4451	264	15	be	be	AUX
cana-4451	264	16	very	very	ADV
cana-4451	264	17	helpful	helpful	ADJ
cana-4451	264	18	to	to	ADP
cana-4451	264	19	researchers	researcher	NOUN
cana-4451	264	20	in	in	ADP
cana-4451	264	21	identifying	identify	VERB
cana-4451	264	22	people	people	NOUN
cana-4451	264	23	who	who	PRON
cana-4451	264	24	vanished	vanish	VERB
cana-4451	264	25	as	as	ADP
cana-4451	264	26	a	a	DET
cana-4451	264	27	result	result	NOUN
cana-4451	264	28	of	of	ADP
cana-4451	264	29	natural	natural	ADJ
cana-4451	264	30	catastrophes	catastrophe	NOUN
cana-4451	264	31	or	or	CCONJ
cana-4451	264	32	who	who	PRON
cana-4451	264	33	were	be	AUX
cana-4451	264	34	the	the	DET
cana-4451	264	35	targets	target	NOUN
cana-4451	264	36	of	of	ADP
cana-4451	264	37	criminal	criminal	ADJ
cana-4451	264	38	activity	activity	NOUN
cana-4451	264	39	.	.	PUNCT
cana-4451	265	1	refrences	refrence	VERB
cana-4451	266	1	[	[	X
cana-4451	266	2	1	1	X
cana-4451	266	3	]	]	PUNCT
cana-4451	266	4	m.	m.	NOUN
cana-4451	266	5	pollitt	pollitt	NOUN
cana-4451	266	6	,	,	PUNCT
cana-4451	266	7	m.	m.	NOUN
cana-4451	266	8	caloyannides	caloyannide	NOUN
cana-4451	266	9	,	,	PUNCT
cana-4451	266	10	j.	j.	PROPN
cana-4451	266	11	novotny	novotny	PROPN
cana-4451	266	12	,	,	PUNCT
cana-4451	266	13	and	and	CCONJ
cana-4451	266	14	s.	s.	PROPN
cana-4451	266	15	shenoi	shenoi	PROPN
cana-4451	266	16	,	,	PUNCT
cana-4451	266	17	“	"	PUNCT
cana-4451	266	18	digital	digital	ADJ
cana-4451	266	19	forensics	forensic	NOUN
cana-4451	266	20	:	:	PUNCT
cana-4451	266	21	operational	operational	ADJ
cana-4451	266	22	,	,	PUNCT
cana-4451	266	23	legal	legal	ADJ
cana-4451	266	24	and	and	CCONJ
cana-4451	266	25	research	research	NOUN
cana-4451	266	26	issues	issue	NOUN
cana-4451	266	27	,	,	PUNCT
cana-4451	266	28	”	"	PUNCT
cana-4451	266	29	2004	2004	NUM
cana-4451	266	30	,	,	PUNCT
cana-4451	266	31	pp	pp	ADV
cana-4451	266	32	.	.	PUNCT
cana-4451	267	1	393–403	393–403	NUM
cana-4451	267	2	.	.	PUNCT
cana-4451	268	1	doi	doi	NOUN
cana-4451	268	2	:	:	PUNCT
cana-4451	268	3	10.1007/1	10.1007/1	NUM
cana-4451	268	4	-	-	PUNCT
cana-4451	268	5	4020	4020	NUM
cana-4451	268	6	-	-	PUNCT
cana-4451	268	7	8070	8070	NUM
cana-4451	268	8	-	-	PUNCT
cana-4451	268	9	0_28	0_28	NOUN
cana-4451	268	10	.	.	PUNCT
cana-4451	269	1	[	[	X
cana-4451	269	2	2	2	X
cana-4451	269	3	]	]	PUNCT
cana-4451	269	4	j.	j.	PROPN
cana-4451	269	5	wei	wei	PROPN
cana-4451	269	6	,	,	PUNCT
cana-4451	269	7	z.	z.	PROPN
cana-4451	269	8	jian	jian	PROPN
cana-4451	269	9	-	-	PUNCT
cana-4451	269	10	qi	qi	PROPN
cana-4451	269	11	,	,	PUNCT
cana-4451	269	12	and	and	CCONJ
cana-4451	269	13	z.	z.	PROPN
cana-4451	269	14	xiang	xiang	PROPN
cana-4451	269	15	,	,	PUNCT
cana-4451	269	16	“	"	PUNCT
cana-4451	269	17	face	face	NOUN
cana-4451	269	18	recognition	recognition	NOUN
cana-4451	269	19	method	method	NOUN
cana-4451	269	20	based	base	VERB
cana-4451	269	21	on	on	ADP
cana-4451	269	22	support	support	NOUN
cana-4451	269	23	vector	vector	NOUN
cana-4451	269	24	machine	machine	NOUN
cana-4451	269	25	and	and	CCONJ
cana-4451	269	26	particle	particle	NOUN
cana-4451	269	27	swarm	swarm	NOUN
cana-4451	269	28	optimization	optimization	NOUN
cana-4451	269	29	,	,	PUNCT
cana-4451	269	30	”	"	PUNCT
cana-4451	269	31	expert	expert	NOUN
cana-4451	269	32	syst	syst	PROPN
cana-4451	269	33	appl	appl	PROPN
cana-4451	269	34	,	,	PUNCT
cana-4451	269	35	vol	vol	NOUN
cana-4451	269	36	.	.	PROPN
cana-4451	270	1	38	38	NUM
cana-4451	270	2	,	,	PUNCT
cana-4451	270	3	no	no	INTJ
cana-4451	270	4	.	.	NOUN
cana-4451	270	5	4	4	NUM
cana-4451	270	6	,	,	PUNCT
cana-4451	270	7	pp	pp	ADJ
cana-4451	270	8	.	.	PUNCT
cana-4451	271	1	4390–4393	4390–4393	NUM
cana-4451	271	2	,	,	PUNCT
cana-4451	271	3	apr	apr	PROPN
cana-4451	271	4	.	.	PROPN
cana-4451	272	1	2011	2011	NUM
cana-4451	272	2	,	,	PUNCT
cana-4451	272	3	doi	doi	NOUN
cana-4451	272	4	:	:	PUNCT
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cana-4451	272	6	/	/	SYM
cana-4451	272	7	j.eswa.2010.09.108	j.eswa.2010.09.108	PROPN
cana-4451	272	8	.	.	PUNCT
cana-4451	273	1	[	[	X
cana-4451	273	2	3	3	X
cana-4451	273	3	]	]	X
cana-4451	273	4	g.	g.	PROPN
cana-4451	273	5	benitez	benitez	PROPN
cana-4451	273	6	-	-	PUNCT
cana-4451	273	7	garcia	garcia	PROPN
cana-4451	273	8	,	,	PUNCT
cana-4451	273	9	j.	j.	PROPN
cana-4451	273	10	olivares	olivares	PROPN
cana-4451	273	11	-	-	PUNCT
cana-4451	273	12	mercado	mercado	NOUN
cana-4451	273	13	,	,	PUNCT
cana-4451	273	14	g.	g.	PROPN
cana-4451	273	15	sanchez	sanchez	PROPN
cana-4451	273	16	-	-	PUNCT
cana-4451	273	17	perez	perez	PROPN
cana-4451	273	18	,	,	PUNCT
cana-4451	273	19	m.	m.	NOUN
cana-4451	273	20	nakano	nakano	NOUN
cana-4451	273	21	-	-	PUNCT
cana-4451	273	22	miyatake	miyatake	NOUN
cana-4451	273	23	,	,	PUNCT
cana-4451	273	24	and	and	CCONJ
cana-4451	273	25	h.	h.	PROPN
cana-4451	273	26	perezmeana	perezmeana	PROPN
cana-4451	273	27	,	,	PUNCT
cana-4451	273	28	“	"	PUNCT
cana-4451	273	29	a	a	DET
cana-4451	273	30	sub	sub	ADJ
cana-4451	273	31	-	-	ADJ
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cana-4451	273	33	-	-	PUNCT
cana-4451	273	34	based	base	VERB
cana-4451	273	35	eigenphases	eigenphase	NOUN
cana-4451	273	36	algorithm	algorithm	VERB
cana-4451	273	37	with	with	ADP
cana-4451	273	38	optimum	optimum	ADJ
cana-4451	273	39	sub	sub	ADJ
cana-4451	273	40	-	-	ADJ
cana-4451	273	41	block	block	ADJ
cana-4451	273	42	size	size	NOUN
cana-4451	273	43	,	,	PUNCT
cana-4451	273	44	”	"	PUNCT
cana-4451	273	45	knowl	knowl	PROPN
cana-4451	273	46	based	base	VERB
cana-4451	273	47	syst	syst	NOUN
cana-4451	273	48	,	,	PUNCT
cana-4451	273	49	vol	vol	NOUN
cana-4451	273	50	.	.	PROPN
cana-4451	274	1	37	37	NUM
cana-4451	274	2	,	,	PUNCT
cana-4451	274	3	pp	pp	ADJ
cana-4451	274	4	.	.	PUNCT
cana-4451	275	1	415–426	415–426	NUM
cana-4451	275	2	,	,	PUNCT
cana-4451	275	3	jan	jan	PROPN
cana-4451	275	4	.	.	PROPN
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cana-4451	275	6	,	,	PUNCT
cana-4451	275	7	doi	doi	NOUN
cana-4451	275	8	:	:	PUNCT
cana-4451	275	9	10.1016	10.1016	NUM
cana-4451	275	10	/	/	SYM
cana-4451	275	11	j.knosys.2012.08.023	j.knosys.2012.08.023	PROPN
cana-4451	275	12	.	.	PUNCT
cana-4451	276	1	[	[	X
cana-4451	276	2	4	4	X
cana-4451	276	3	]	]	X
cana-4451	276	4	h.	h.	PROPN
cana-4451	276	5	hu	hu	PROPN
cana-4451	276	6	,	,	PUNCT
cana-4451	276	7	“	"	PUNCT
cana-4451	276	8	variable	variable	ADJ
cana-4451	276	9	lighting	lighting	NOUN
cana-4451	276	10	face	face	NOUN
cana-4451	276	11	recognition	recognition	NOUN
cana-4451	276	12	using	use	VERB
cana-4451	276	13	discrete	discrete	ADJ
cana-4451	276	14	wavelet	wavelet	NOUN
cana-4451	276	15	transform	transform	NOUN
cana-4451	276	16	,	,	PUNCT
cana-4451	276	17	”	"	PUNCT
cana-4451	276	18	pattern	pattern	NOUN
cana-4451	276	19	recognit	recognit	VERB
cana-4451	276	20	lett	lett	PROPN
cana-4451	276	21	,	,	PUNCT
cana-4451	276	22	vol	vol	NOUN
cana-4451	276	23	.	.	PROPN
cana-4451	276	24	32	32	NUM
cana-4451	276	25	,	,	PUNCT
cana-4451	276	26	no	no	INTJ
cana-4451	276	27	.	.	NOUN
cana-4451	276	28	13	13	NUM
cana-4451	276	29	,	,	PUNCT
cana-4451	276	30	pp	pp	ADJ
cana-4451	276	31	.	.	PUNCT
cana-4451	276	32	1526–1534	1526–1534	NUM
cana-4451	276	33	,	,	PUNCT
cana-4451	276	34	oct	oct	PROPN
cana-4451	276	35	.	.	PROPN
cana-4451	276	36	2011	2011	NUM
cana-4451	276	37	,	,	PUNCT
cana-4451	276	38	doi	doi	NOUN
cana-4451	276	39	:	:	PUNCT
cana-4451	276	40	10.1016	10.1016	NUM
cana-4451	276	41	/	/	SYM
cana-4451	276	42	j.patrec.2011.06.009	j.patrec.2011.06.009	PROPN
cana-4451	276	43	.	.	PUNCT
cana-4451	277	1	communications	communication	NOUN
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cana-4451	277	6	issn	issn	NOUN
cana-4451	277	7	:	:	PUNCT
cana-4451	277	8	1074	1074	NUM
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cana-4451	277	10	133x	133x	NUM
cana-4451	277	11	vol	vol	NOUN
cana-4451	277	12	32	32	NUM
cana-4451	277	13	no	no	NOUN
cana-4451	277	14	.	.	PUNCT
cana-4451	278	1	9s	9s	NUM
cana-4451	278	2	(	(	PUNCT
cana-4451	278	3	2025	2025	NUM
cana-4451	278	4	)	)	PUNCT
cana-4451	278	5	2112	2112	NUM
cana-4451	278	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4451	279	1	[	[	X
cana-4451	279	2	5	5	NUM
cana-4451	279	3	]	]	PUNCT
cana-4451	279	4	k.	k.	PROPN
cana-4451	279	5	gautam	gautam	PROPN
cana-4451	279	6	,	,	PUNCT
cana-4451	279	7	n.	n.	PROPN
cana-4451	279	8	quadri	quadri	PROPN
cana-4451	279	9	,	,	PUNCT
cana-4451	279	10	a.	a.	NOUN
cana-4451	279	11	pareek	pareek	NOUN
cana-4451	279	12	,	,	PUNCT
cana-4451	279	13	and	and	CCONJ
cana-4451	279	14	s.	s.	PROPN
cana-4451	279	15	s.	s.	PROPN
cana-4451	279	16	choudhary	choudhary	PROPN
cana-4451	279	17	,	,	PUNCT
cana-4451	279	18	“	"	PUNCT
cana-4451	279	19	a	a	DET
cana-4451	279	20	face	face	NOUN
cana-4451	279	21	recognition	recognition	NOUN
cana-4451	279	22	system	system	NOUN
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cana-4451	279	24	on	on	ADP
cana-4451	279	25	back	back	ADJ
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cana-4451	279	27	neural	neural	ADJ
cana-4451	279	28	network	network	NOUN
cana-4451	279	29	using	use	VERB
cana-4451	279	30	haar	haar	X
cana-4451	279	31	wavelet	wavelet	NOUN
cana-4451	279	32	transform	transform	NOUN
cana-4451	279	33	and	and	CCONJ
cana-4451	279	34	morphology	morphology	NOUN
cana-4451	279	35	,	,	PUNCT
cana-4451	279	36	”	"	PUNCT
cana-4451	279	37	2014	2014	NUM
cana-4451	279	38	,	,	PUNCT
cana-4451	279	39	pp	pp	ADV
cana-4451	279	40	.	.	PUNCT
cana-4451	280	1	87–94	87–94	X
cana-4451	280	2	.	.	PUNCT
cana-4451	281	1	doi	doi	NOUN
cana-4451	281	2	:	:	PUNCT
cana-4451	281	3	10.1007/978	10.1007/978	NUM
cana-4451	281	4	-	-	SYM
cana-4451	281	5	81	81	NUM
cana-4451	281	6	-	-	PUNCT
cana-4451	281	7	322	322	NUM
cana-4451	281	8	-	-	PUNCT
cana-4451	281	9	1817	1817	NUM
cana-4451	281	10	-	-	PUNCT
cana-4451	281	11	3_10	3_10	NUM
cana-4451	281	12	.	.	PUNCT
cana-4451	282	1	[	[	X
cana-4451	282	2	6	6	NUM
cana-4451	282	3	]	]	PUNCT
cana-4451	282	4	i.	i.	NOUN
cana-4451	282	5	yuadi	yuadi	PROPN
cana-4451	282	6	,	,	PUNCT
cana-4451	282	7	m.	m.	PROPN
cana-4451	282	8	d.	d.	PROPN
cana-4451	282	9	artaria	artaria	PROPN
cana-4451	282	10	,	,	PUNCT
cana-4451	282	11	sakina	sakina	PROPN
cana-4451	282	12	,	,	PUNCT
cana-4451	282	13	and	and	CCONJ
cana-4451	282	14	a.	a.	PROPN
cana-4451	282	15	taufiq	taufiq	PROPN
cana-4451	282	16	asyhari	asyhari	PROPN
cana-4451	282	17	,	,	PUNCT
cana-4451	282	18	“	"	PUNCT
cana-4451	282	19	digital	digital	ADJ
cana-4451	282	20	forensics	forensic	NOUN
cana-4451	282	21	for	for	ADP
cana-4451	282	22	skulls	skull	NOUN
cana-4451	282	23	classification	classification	NOUN
cana-4451	282	24	in	in	ADP
cana-4451	282	25	physical	physical	ADJ
cana-4451	282	26	anthropology	anthropology	NOUN
cana-4451	282	27	collection	collection	NOUN
cana-4451	282	28	management	management	NOUN
cana-4451	282	29	,	,	PUNCT
cana-4451	282	30	”	"	PUNCT
cana-4451	282	31	computers	computer	NOUN
cana-4451	282	32	,	,	PUNCT
cana-4451	282	33	materials	material	NOUN
cana-4451	282	34	&	&	CCONJ
cana-4451	282	35	continua	continua	PROPN
cana-4451	282	36	,	,	PUNCT
cana-4451	282	37	vol	vol	NOUN
cana-4451	282	38	.	.	PROPN
cana-4451	282	39	68	68	NUM
cana-4451	282	40	,	,	PUNCT
cana-4451	282	41	no	no	INTJ
cana-4451	282	42	.	.	NOUN
cana-4451	282	43	3	3	NUM
cana-4451	282	44	,	,	PUNCT
cana-4451	282	45	pp	pp	ADJ
cana-4451	282	46	.	.	PUNCT
cana-4451	282	47	3979–3995	3979–3995	NUM
cana-4451	282	48	,	,	PUNCT
cana-4451	282	49	2021	2021	NUM
cana-4451	282	50	,	,	PUNCT
cana-4451	282	51	doi	doi	NOUN
cana-4451	282	52	:	:	PUNCT
cana-4451	282	53	10.32604	10.32604	NUM
cana-4451	282	54	/	/	SYM
cana-4451	282	55	cmc.2021.015417	cmc.2021.015417	NUM
cana-4451	282	56	.	.	PUNCT
cana-4451	283	1	[	[	X
cana-4451	283	2	7	7	X
cana-4451	283	3	]	]	X
cana-4451	283	4	j.	j.	PROPN
cana-4451	283	5	olivares	olivares	PROPN
cana-4451	283	6	-	-	PUNCT
cana-4451	283	7	mercado	mercado	NOUN
cana-4451	283	8	,	,	PUNCT
cana-4451	283	9	k.	k.	PROPN
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cana-4451	283	11	-	-	PROPN
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cana-4451	283	13	,	,	PUNCT
cana-4451	283	14	g.	g.	PROPN
cana-4451	283	15	sánchez	sánchez	PROPN
cana-4451	283	16	-	-	PUNCT
cana-4451	283	17	pérez	pérez	NOUN
cana-4451	283	18	,	,	PUNCT
cana-4451	283	19	m.	m.	NOUN
cana-4451	283	20	nakano	nakano	NOUN
cana-4451	283	21	-	-	PUNCT
cana-4451	283	22	miyatake	miyatake	NOUN
cana-4451	283	23	,	,	PUNCT
cana-4451	283	24	and	and	CCONJ
cana-4451	283	25	h.	h.	PROPN
cana-4451	283	26	pérez	pérez	PROPN
cana-4451	283	27	-	-	PUNCT
cana-4451	283	28	meana	meana	PROPN
cana-4451	283	29	,	,	PUNCT
cana-4451	283	30	“	"	PUNCT
cana-4451	283	31	modifications	modification	NOUN
cana-4451	283	32	to	to	ADP
cana-4451	283	33	the	the	DET
cana-4451	283	34	eigenphases	eigenphase	NOUN
cana-4451	283	35	method	method	VERB
cana-4451	283	36	for	for	ADP
cana-4451	283	37	face	face	NOUN
cana-4451	283	38	recognition	recognition	NOUN
cana-4451	283	39	based	base	VERB
cana-4451	283	40	on	on	ADP
cana-4451	283	41	svm	svm	PROPN
cana-4451	283	42	,	,	PUNCT
cana-4451	283	43	”	"	PUNCT
cana-4451	283	44	ingeniería	ingeniería	PROPN
cana-4451	283	45	,	,	PUNCT
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cana-4451	284	1	119–129	119–129	NUM
cana-4451	284	2	,	,	PUNCT
cana-4451	284	3	jan	jan	PROPN
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cana-4451	284	5	2016	2016	NUM
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cana-4451	285	10	“	"	PUNCT
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cana-4451	285	20	”	"	PUNCT
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cana-4451	285	34	.	.	PUNCT
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cana-4451	286	2	,	,	PUNCT
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cana-4451	286	6	,	,	PUNCT
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cana-4451	286	8	:	:	PUNCT
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cana-4451	286	10	/	/	SYM
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cana-4451	286	12	.	.	PUNCT
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cana-4451	287	2	9	9	NUM
cana-4451	287	3	]	]	PUNCT
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cana-4451	287	11	.	.	PUNCT
cana-4451	288	1	junno	junno	PROPN
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cana-4451	288	4	oettlé	oettlé	NOUN
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cana-4451	288	6	and	and	CCONJ
cana-4451	288	7	p.	p.	PROPN
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cana-4451	288	16	from	from	ADP
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cana-4451	288	18	human	human	ADJ
cana-4451	288	19	mandible	mandible	NOUN
cana-4451	288	20	using	use	VERB
cana-4451	288	21	the	the	DET
cana-4451	288	22	human	human	ADJ
cana-4451	288	23	osteological	osteological	ADJ
cana-4451	288	24	research	research	NOUN
cana-4451	288	25	collection	collection	NOUN
cana-4451	288	26	,	,	PUNCT
cana-4451	288	27	”	"	PUNCT
cana-4451	288	28	leg	leg	NOUN
cana-4451	288	29	med	med	ADJ
cana-4451	288	30	,	,	PUNCT
cana-4451	288	31	vol	vol	NOUN
cana-4451	288	32	.	.	PROPN
cana-4451	288	33	70	70	NUM
cana-4451	288	34	,	,	PUNCT
cana-4451	288	35	p.	p.	NOUN
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cana-4451	288	45	/	/	SYM
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cana-4451	289	39	,	,	PUNCT
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cana-4451	291	10	b.	b.	PROPN
cana-4451	291	11	chen	chen	PROPN
cana-4451	291	12	,	,	PUNCT
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cana-4451	291	23	for	for	ADP
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cana-4451	291	34	on	on	ADP
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cana-4451	291	36	vision	vision	NOUN
cana-4451	291	37	and	and	CCONJ
cana-4451	291	38	pattern	pattern	NOUN
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cana-4451	291	40	(	(	PUNCT
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cana-4451	291	42	)	)	PUNCT
cana-4451	291	43	,	,	PUNCT
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cana-4451	291	49	,	,	PUNCT
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cana-4451	291	51	.	.	PUNCT
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cana-4451	292	2	.	.	PUNCT
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cana-4451	299	10	/	/	SYM
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cana-4451	304	12	specific	specific	ADJ
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cana-4451	304	47	,	,	PUNCT
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cana-4451	305	7	:	:	PUNCT
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cana-4451	305	10	133x	133x	NUM
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cana-4451	306	2	(	(	PUNCT
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cana-4451	306	4	)	)	PUNCT
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cana-4451	307	3	]	]	X
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cana-4451	308	2	,	,	PUNCT
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cana-4451	309	39	.	.	PUNCT
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cana-4451	309	45	,	,	PUNCT
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cana-4451	309	47	:	:	PUNCT
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cana-4451	311	10	/	/	SYM
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cana-4451	312	1	[	[	X
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cana-4451	312	47	:	:	PUNCT
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cana-4451	317	26	for	for	ADP
cana-4451	317	27	devicefree	devicefree	ADJ
cana-4451	317	28	human	human	ADJ
cana-4451	317	29	activity	activity	NOUN
cana-4451	317	30	recognition	recognition	NOUN
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cana-4451	317	33	survey	survey	NOUN
cana-4451	317	34	,	,	PUNCT
cana-4451	317	35	”	"	PUNCT
cana-4451	317	36	journal	journal	NOUN
cana-4451	317	37	of	of	ADP
cana-4451	317	38	automation	automation	NOUN
cana-4451	317	39	and	and	CCONJ
cana-4451	317	40	intelligence	intelligence	NOUN
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cana-4451	317	45	,	,	PUNCT
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cana-4451	317	48	1	1	NUM
cana-4451	317	49	,	,	PUNCT
cana-4451	317	50	p.	p.	NOUN
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cana-4451	317	52	,	,	PUNCT
cana-4451	317	53	dec	dec	PROPN
cana-4451	317	54	.	.	PROPN
cana-4451	317	55	2022	2022	NUM
cana-4451	317	56	,	,	PUNCT
cana-4451	317	57	doi	doi	NOUN
cana-4451	317	58	:	:	PUNCT
cana-4451	317	59	10.1016	10.1016	NUM
cana-4451	317	60	/	/	SYM
cana-4451	317	61	j.jai.2022.100007	j.jai.2022.100007	ADJ
cana-4451	317	62	.	.	PUNCT
cana-4451	318	1	[	[	X
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cana-4451	318	3	]	]	PUNCT
cana-4451	318	4	a.	a.	PROPN
cana-4451	318	5	de	de	PROPN
cana-4451	318	6	rosa	rosa	PROPN
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cana-4451	318	9	.	.	PROPN
cana-4451	318	10	,	,	PUNCT
cana-4451	318	11	“	"	PUNCT
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cana-4451	318	13	learning	learning	NOUN
cana-4451	318	14	algorithms	algorithm	NOUN
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cana-4451	318	16	the	the	DET
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cana-4451	318	20	movements	movement	NOUN
cana-4451	318	21	in	in	ADP
cana-4451	318	22	work	work	NOUN
cana-4451	318	23	activities	activity	NOUN
cana-4451	318	24	,	,	PUNCT
cana-4451	318	25	”	"	PUNCT
cana-4451	318	26	gait	gait	ADJ
cana-4451	318	27	posture	posture	NOUN
cana-4451	318	28	,	,	PUNCT
cana-4451	318	29	vol	vol	NOUN
cana-4451	318	30	.	.	PROPN
cana-4451	318	31	114	114	NUM
cana-4451	318	32	,	,	PUNCT
cana-4451	318	33	pp	pp	PROPN
cana-4451	318	34	.	.	PUNCT
cana-4451	319	1	s20	s20	PROPN
cana-4451	319	2	–	–	PUNCT
cana-4451	319	3	s21	s21	NOUN
cana-4451	319	4	,	,	PUNCT
cana-4451	319	5	oct	oct	PROPN
cana-4451	319	6	.	.	PROPN
cana-4451	319	7	2024	2024	NUM
cana-4451	319	8	,	,	PUNCT
cana-4451	319	9	doi	doi	NOUN
cana-4451	319	10	:	:	PUNCT
cana-4451	319	11	10.1016	10.1016	NUM
cana-4451	319	12	/	/	SYM
cana-4451	319	13	j.gaitpost.2024.08.040	j.gaitpost.2024.08.040	ADP
cana-4451	319	14	.	.	PUNCT
cana-4451	320	1	[	[	X
cana-4451	320	2	24	24	NUM
cana-4451	320	3	]	]	PUNCT
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cana-4451	320	8	j.	j.	PROPN
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cana-4451	320	10	,	,	PUNCT
cana-4451	320	11	and	and	CCONJ
cana-4451	320	12	l.	l.	PROPN
cana-4451	320	13	ebert	ebert	PROPN
cana-4451	320	14	,	,	PUNCT
cana-4451	320	15	“	"	PUNCT
cana-4451	320	16	classification	classification	NOUN
cana-4451	320	17	based	base	VERB
cana-4451	320	18	on	on	ADP
cana-4451	320	19	the	the	DET
cana-4451	320	20	presence	presence	NOUN
cana-4451	320	21	of	of	ADP
cana-4451	320	22	skull	skull	NOUN
cana-4451	320	23	fractures	fracture	NOUN
cana-4451	320	24	on	on	ADP
cana-4451	320	25	curved	curved	ADJ
cana-4451	320	26	maximum	maximum	ADJ
cana-4451	320	27	intensity	intensity	NOUN
cana-4451	320	28	skull	skull	NOUN
cana-4451	320	29	projections	projection	NOUN
cana-4451	320	30	by	by	ADP
cana-4451	320	31	means	mean	NOUN
cana-4451	320	32	of	of	ADP
cana-4451	320	33	deep	deep	ADJ
cana-4451	320	34	learning	learning	NOUN
cana-4451	320	35	,	,	PUNCT
cana-4451	320	36	”	"	PUNCT
cana-4451	320	37	journal	journal	NOUN
cana-4451	320	38	of	of	ADP
cana-4451	320	39	forensic	forensic	ADJ
cana-4451	320	40	radiology	radiology	NOUN
cana-4451	320	41	and	and	CCONJ
cana-4451	320	42	imaging	imaging	NOUN
cana-4451	320	43	,	,	PUNCT
cana-4451	320	44	vol	vol	NOUN
cana-4451	320	45	.	.	PROPN
cana-4451	320	46	14	14	NUM
cana-4451	320	47	,	,	PUNCT
cana-4451	320	48	pp	pp	ADJ
cana-4451	320	49	.	.	PUNCT
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cana-4451	320	51	,	,	PUNCT
cana-4451	320	52	sep	sep	PROPN
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cana-4451	320	55	,	,	PUNCT
cana-4451	320	56	doi	doi	NOUN
cana-4451	320	57	:	:	PUNCT
cana-4451	320	58	10.1016	10.1016	NUM
cana-4451	320	59	/	/	SYM
cana-4451	320	60	j.jofri.2018.08.001	j.jofri.2018.08.001	PROPN
cana-4451	320	61	.	.	PUNCT