id	sid	tid	token	lemma	pos
alkej-733	1	1	al	al	PROPN
alkej-733	1	2	-	-	PUNCT
alkej-733	1	3	khwarizmi	khwarizmi	PROPN
alkej-733	1	4	engineering	engineering	PROPN
alkej-733	1	5	journal	journal	PROPN
alkej-733	1	6	al	al	PROPN
alkej-733	1	7	-	-	PUNCT
alkej-733	1	8	khwarizmi	khwarizmi	PROPN
alkej-733	1	9	engineering	engineering	NOUN
alkej-733	1	10	journal	journal	PROPN
alkej-733	1	11	,	,	PUNCT
alkej-733	1	12	vol	vol	NOUN
alkej-733	1	13	.	.	PROPN
alkej-733	1	14	17	17	NUM
alkej-733	1	15	,	,	PUNCT
alkej-733	1	16	no	no	INTJ
alkej-733	1	17	.	.	NOUN
alkej-733	1	18	1	1	NUM
alkej-733	1	19	,	,	PUNCT
alkej-733	1	20	march	march	NOUN
alkej-733	1	21	,	,	PUNCT
alkej-733	1	22	(	(	PUNCT
alkej-733	1	23	2021	2021	NUM
alkej-733	1	24	)	)	PUNCT
alkej-733	2	1	p.	p.	NOUN
alkej-733	2	2	p.	p.	NOUN
alkej-733	3	1	1	1	NUM
alkej-733	3	2	-	-	SYM
alkej-733	3	3	12	12	NUM
alkej-733	3	4	building	building	NOUN
alkej-733	3	5	a	a	DET
alkej-733	3	6	high	high	ADJ
alkej-733	3	7	accuracy	accuracy	NOUN
alkej-733	3	8	transfer	transfer	NOUN
alkej-733	3	9	learning	learning	NOUN
alkej-733	3	10	-	-	PUNCT
alkej-733	3	11	based	base	VERB
alkej-733	3	12	quality	quality	NOUN
alkej-733	3	13	inspection	inspection	NOUN
alkej-733	3	14	system	system	NOUN
alkej-733	3	15	at	at	ADP
alkej-733	3	16	low	low	ADJ
alkej-733	3	17	costs	cost	NOUN
alkej-733	3	18	ahmed	ahmed	PROPN
alkej-733	3	19	najah	najah	PROPN
alkej-733	3	20	*	*	PROPN
alkej-733	3	21	faiz	faiz	PROPN
alkej-733	3	22	f.	f.	PROPN
alkej-733	3	23	mustafa	mustafa	PROPN
alkej-733	4	1	*	*	PROPN
alkej-733	4	2	*	*	PUNCT
alkej-733	4	3	wisam	wisam	PROPN
alkej-733	4	4	s.	s.	PROPN
alkej-733	4	5	hacham	hacham	PROPN
alkej-733	4	6	*	*	PROPN
alkej-733	4	7	*	*	PUNCT
alkej-733	4	8	*	*	PUNCT
alkej-733	4	9	*	*	PUNCT
alkej-733	5	1	*	*	PUNCT
alkej-733	5	2	,	,	PUNCT
alkej-733	5	3	*	*	PUNCT
alkej-733	5	4	*	*	NOUN
alkej-733	5	5	department	department	NOUN
alkej-733	5	6	of	of	ADP
alkej-733	5	7	automated	automate	VERB
alkej-733	5	8	manufacturing	manufacturing	NOUN
alkej-733	5	9	engineering	engineering	NOUN
alkej-733	5	10	/	/	SYM
alkej-733	5	11	al	al	PROPN
alkej-733	5	12	-	-	PUNCT
alkej-733	5	13	khwarizmi	khwarizmi	PROPN
alkej-733	5	14	college	college	PROPN
alkej-733	5	15	of	of	ADP
alkej-733	5	16	engineering/	engineering/	NUM
alkej-733	5	17	university	university	NOUN
alkej-733	5	18	of	of	ADP
alkej-733	5	19	baghdad	baghdad	PROPN
alkej-733	5	20	*	*	PUNCT
alkej-733	5	21	*	*	PUNCT
alkej-733	5	22	*	*	PUNCT
alkej-733	5	23	department	department	NOUN
alkej-733	5	24	of	of	ADP
alkej-733	5	25	mechatronics	mechatronic	NOUN
alkej-733	5	26	engineering/	engineering/	NUM
alkej-733	5	27	al	al	PROPN
alkej-733	5	28	-	-	PUNCT
alkej-733	5	29	khwarizmi	khwarizmi	PROPN
alkej-733	5	30	college	college	PROPN
alkej-733	5	31	of	of	ADP
alkej-733	5	32	engineering/	engineering/	NUM
alkej-733	5	33	university	university	NOUN
alkej-733	5	34	of	of	ADP
alkej-733	5	35	baghdad	baghdad	PROPN
alkej-733	5	36	*	*	PUNCT
alkej-733	5	37	email	email	NOUN
alkej-733	5	38	:	:	PUNCT
alkej-733	5	39	ahmednajah5049@gmail.com	ahmednajah5049@gmail.com	X
alkej-733	6	1	*	*	PUNCT
alkej-733	6	2	*	*	NOUN
alkej-733	6	3	email	email	NOUN
alkej-733	6	4	:	:	PUNCT
alkej-733	6	5	faizalrawy@yahoo.com	faizalrawy@yahoo.com	X
alkej-733	7	1	*	*	PUNCT
alkej-733	7	2	*	*	PUNCT
alkej-733	7	3	*	*	NOUN
alkej-733	7	4	email	email	NOUN
alkej-733	7	5	:	:	PUNCT
alkej-733	7	6	wisam@kecbu.uobaghdad.edu.iq	wisam@kecbu.uobaghdad.edu.iq	ADJ
alkej-733	7	7	(	(	PUNCT
alkej-733	7	8	received	receive	VERB
alkej-733	7	9	5	5	NUM
alkej-733	7	10	october	october	PROPN
alkej-733	7	11	2020	2020	NUM
alkej-733	7	12	;	;	PUNCT
alkej-733	7	13	accepted	accept	VERB
alkej-733	7	14	6	6	NUM
alkej-733	7	15	december	december	NOUN
alkej-733	7	16	2020	2020	NUM
alkej-733	7	17	)	)	PUNCT
alkej-733	7	18	https://doi.org/10.22153/kej.2021.12.001	https://doi.org/10.22153/kej.2021.12.001	ADJ
alkej-733	7	19	abstract	abstract	ADJ
alkej-733	7	20	products	product	NOUN
alkej-733	7	21	’	'	PUNCT
alkej-733	7	22	quality	quality	NOUN
alkej-733	7	23	inspection	inspection	NOUN
alkej-733	7	24	is	be	AUX
alkej-733	7	25	an	an	DET
alkej-733	7	26	important	important	ADJ
alkej-733	7	27	stage	stage	NOUN
alkej-733	7	28	in	in	ADP
alkej-733	7	29	every	every	DET
alkej-733	7	30	production	production	NOUN
alkej-733	7	31	route	route	NOUN
alkej-733	7	32	,	,	PUNCT
alkej-733	7	33	in	in	ADP
alkej-733	7	34	which	which	PRON
alkej-733	7	35	the	the	DET
alkej-733	7	36	quality	quality	NOUN
alkej-733	7	37	of	of	ADP
alkej-733	7	38	the	the	DET
alkej-733	7	39	produced	produce	VERB
alkej-733	7	40	goods	good	NOUN
alkej-733	7	41	is	be	AUX
alkej-733	7	42	estimated	estimate	VERB
alkej-733	7	43	and	and	CCONJ
alkej-733	7	44	compared	compare	VERB
alkej-733	7	45	with	with	ADP
alkej-733	7	46	the	the	DET
alkej-733	7	47	desired	desire	VERB
alkej-733	7	48	specifications	specification	NOUN
alkej-733	7	49	.	.	PUNCT
alkej-733	8	1	with	with	ADP
alkej-733	8	2	traditional	traditional	ADJ
alkej-733	8	3	inspection	inspection	NOUN
alkej-733	8	4	,	,	PUNCT
alkej-733	8	5	the	the	DET
alkej-733	8	6	process	process	NOUN
alkej-733	8	7	rely	rely	VERB
alkej-733	8	8	on	on	ADP
alkej-733	8	9	manual	manual	ADJ
alkej-733	8	10	methods	method	NOUN
alkej-733	8	11	that	that	PRON
alkej-733	8	12	generates	generate	VERB
alkej-733	8	13	various	various	ADJ
alkej-733	8	14	costs	cost	NOUN
alkej-733	8	15	and	and	CCONJ
alkej-733	8	16	large	large	ADJ
alkej-733	8	17	time	time	NOUN
alkej-733	8	18	consumption	consumption	NOUN
alkej-733	8	19	.	.	PUNCT
alkej-733	9	1	on	on	ADP
alkej-733	9	2	the	the	DET
alkej-733	9	3	contrary	contrary	NOUN
alkej-733	9	4	,	,	PUNCT
alkej-733	9	5	today	today	NOUN
alkej-733	9	6	’s	’s	PART
alkej-733	9	7	inspection	inspection	NOUN
alkej-733	9	8	systems	system	NOUN
alkej-733	9	9	that	that	PRON
alkej-733	9	10	use	use	VERB
alkej-733	9	11	modern	modern	ADJ
alkej-733	9	12	techniques	technique	NOUN
alkej-733	9	13	like	like	ADP
alkej-733	9	14	computer	computer	NOUN
alkej-733	9	15	vision	vision	NOUN
alkej-733	9	16	,	,	PUNCT
alkej-733	9	17	are	be	AUX
alkej-733	9	18	more	more	ADV
alkej-733	9	19	accurate	accurate	ADJ
alkej-733	9	20	and	and	CCONJ
alkej-733	9	21	efficient	efficient	ADJ
alkej-733	9	22	.	.	PUNCT
alkej-733	10	1	however	however	ADV
alkej-733	10	2	,	,	PUNCT
alkej-733	10	3	the	the	DET
alkej-733	10	4	amount	amount	NOUN
alkej-733	10	5	of	of	ADP
alkej-733	10	6	work	work	NOUN
alkej-733	10	7	needed	need	VERB
alkej-733	10	8	to	to	PART
alkej-733	10	9	build	build	VERB
alkej-733	10	10	a	a	DET
alkej-733	10	11	computer	computer	NOUN
alkej-733	10	12	vision	vision	NOUN
alkej-733	10	13	system	system	NOUN
alkej-733	10	14	based	base	VERB
alkej-733	10	15	on	on	ADP
alkej-733	10	16	classic	classic	ADJ
alkej-733	10	17	techniques	technique	NOUN
alkej-733	10	18	is	be	AUX
alkej-733	10	19	relatively	relatively	ADV
alkej-733	10	20	large	large	ADJ
alkej-733	10	21	,	,	PUNCT
alkej-733	10	22	due	due	ADP
alkej-733	10	23	to	to	ADP
alkej-733	10	24	the	the	DET
alkej-733	10	25	issue	issue	NOUN
alkej-733	10	26	of	of	ADP
alkej-733	10	27	manually	manually	ADV
alkej-733	10	28	selecting	select	VERB
alkej-733	10	29	and	and	CCONJ
alkej-733	10	30	extracting	extract	VERB
alkej-733	10	31	features	feature	NOUN
alkej-733	10	32	from	from	ADP
alkej-733	10	33	digital	digital	ADJ
alkej-733	10	34	images	image	NOUN
alkej-733	10	35	,	,	PUNCT
alkej-733	10	36	which	which	PRON
alkej-733	10	37	also	also	ADV
alkej-733	10	38	produces	produce	VERB
alkej-733	10	39	labor	labor	NOUN
alkej-733	10	40	costs	cost	NOUN
alkej-733	10	41	for	for	ADP
alkej-733	10	42	the	the	DET
alkej-733	10	43	system	system	NOUN
alkej-733	10	44	engineers	engineer	NOUN
alkej-733	10	45	.	.	PUNCT
alkej-733	11	1	in	in	ADP
alkej-733	11	2	this	this	DET
alkej-733	11	3	research	research	NOUN
alkej-733	11	4	,	,	PUNCT
alkej-733	11	5	we	we	PRON
alkej-733	11	6	present	present	VERB
alkej-733	11	7	an	an	DET
alkej-733	11	8	adopted	adopt	VERB
alkej-733	11	9	approach	approach	NOUN
alkej-733	11	10	based	base	VERB
alkej-733	11	11	on	on	ADP
alkej-733	11	12	convolutional	convolutional	ADJ
alkej-733	11	13	neural	neural	ADJ
alkej-733	11	14	networks	network	NOUN
alkej-733	11	15	to	to	PART
alkej-733	11	16	design	design	VERB
alkej-733	11	17	a	a	DET
alkej-733	11	18	system	system	NOUN
alkej-733	11	19	for	for	ADP
alkej-733	11	20	quality	quality	NOUN
alkej-733	11	21	inspection	inspection	NOUN
alkej-733	11	22	with	with	ADP
alkej-733	11	23	high	high	ADJ
alkej-733	11	24	level	level	NOUN
alkej-733	11	25	of	of	ADP
alkej-733	11	26	accuracy	accuracy	NOUN
alkej-733	11	27	and	and	CCONJ
alkej-733	11	28	low	low	ADJ
alkej-733	11	29	cost	cost	NOUN
alkej-733	11	30	.	.	PUNCT
alkej-733	12	1	the	the	DET
alkej-733	12	2	system	system	NOUN
alkej-733	12	3	is	be	AUX
alkej-733	12	4	designed	design	VERB
alkej-733	12	5	using	use	VERB
alkej-733	12	6	transfer	transfer	NOUN
alkej-733	12	7	learning	learning	NOUN
alkej-733	12	8	to	to	PART
alkej-733	12	9	transfer	transfer	VERB
alkej-733	12	10	layers	layer	NOUN
alkej-733	12	11	from	from	ADP
alkej-733	12	12	a	a	DET
alkej-733	12	13	previously	previously	ADV
alkej-733	12	14	trained	train	VERB
alkej-733	12	15	model	model	NOUN
alkej-733	12	16	and	and	CCONJ
alkej-733	12	17	a	a	DET
alkej-733	12	18	fully	fully	ADV
alkej-733	12	19	connected	connected	ADJ
alkej-733	12	20	neural	neural	ADJ
alkej-733	12	21	network	network	NOUN
alkej-733	12	22	to	to	PART
alkej-733	12	23	classify	classify	VERB
alkej-733	12	24	the	the	DET
alkej-733	12	25	product	product	NOUN
alkej-733	12	26	’s	’s	PART
alkej-733	12	27	condition	condition	NOUN
alkej-733	12	28	into	into	ADP
alkej-733	12	29	healthy	healthy	ADJ
alkej-733	12	30	or	or	CCONJ
alkej-733	12	31	damaged	damage	VERB
alkej-733	12	32	.	.	PUNCT
alkej-733	13	1	helical	helical	ADJ
alkej-733	13	2	gears	gear	NOUN
alkej-733	13	3	were	be	AUX
alkej-733	13	4	used	use	VERB
alkej-733	13	5	as	as	SCONJ
alkej-733	13	6	the	the	DET
alkej-733	13	7	inspected	inspect	VERB
alkej-733	13	8	object	object	NOUN
alkej-733	13	9	and	and	CCONJ
alkej-733	13	10	three	three	NUM
alkej-733	13	11	cameras	camera	NOUN
alkej-733	13	12	with	with	ADP
alkej-733	13	13	differing	differ	VERB
alkej-733	13	14	resolutions	resolution	NOUN
alkej-733	13	15	were	be	AUX
alkej-733	13	16	used	use	VERB
alkej-733	13	17	to	to	PART
alkej-733	13	18	evaluate	evaluate	VERB
alkej-733	13	19	the	the	DET
alkej-733	13	20	system	system	NOUN
alkej-733	13	21	with	with	ADP
alkej-733	13	22	colored	colored	ADJ
alkej-733	13	23	and	and	CCONJ
alkej-733	13	24	grayscale	grayscale	NOUN
alkej-733	13	25	images	image	NOUN
alkej-733	13	26	.	.	PUNCT
alkej-733	14	1	experimental	experimental	ADJ
alkej-733	14	2	results	result	NOUN
alkej-733	14	3	showed	show	VERB
alkej-733	14	4	high	high	ADJ
alkej-733	14	5	accuracy	accuracy	NOUN
alkej-733	14	6	levels	level	NOUN
alkej-733	14	7	with	with	ADP
alkej-733	14	8	colored	colored	ADJ
alkej-733	14	9	images	image	NOUN
alkej-733	14	10	and	and	CCONJ
alkej-733	14	11	even	even	ADV
alkej-733	14	12	higher	high	ADJ
alkej-733	14	13	accuracies	accuracy	NOUN
alkej-733	14	14	with	with	ADP
alkej-733	14	15	grayscale	grayscale	NOUN
alkej-733	14	16	images	image	NOUN
alkej-733	14	17	at	at	ADP
alkej-733	14	18	every	every	DET
alkej-733	14	19	resolution	resolution	NOUN
alkej-733	14	20	,	,	PUNCT
alkej-733	14	21	emphasizing	emphasize	VERB
alkej-733	14	22	the	the	DET
alkej-733	14	23	ability	ability	NOUN
alkej-733	14	24	to	to	PART
alkej-733	14	25	build	build	VERB
alkej-733	14	26	an	an	DET
alkej-733	14	27	inspection	inspection	NOUN
alkej-733	14	28	system	system	NOUN
alkej-733	14	29	at	at	ADP
alkej-733	14	30	low	low	ADJ
alkej-733	14	31	costs	cost	NOUN
alkej-733	14	32	,	,	PUNCT
alkej-733	14	33	ease	ease	NOUN
alkej-733	14	34	of	of	ADP
alkej-733	14	35	construction	construction	NOUN
alkej-733	14	36	and	and	CCONJ
alkej-733	14	37	automatic	automatic	ADJ
alkej-733	14	38	extraction	extraction	NOUN
alkej-733	14	39	of	of	ADP
alkej-733	14	40	image	image	NOUN
alkej-733	14	41	features	feature	NOUN
alkej-733	14	42	.	.	PUNCT
alkej-733	15	1	keywords	keyword	NOUN
alkej-733	15	2	:	:	PUNCT
alkej-733	15	3	backpropagation	backpropagation	NOUN
alkej-733	15	4	algorithm	algorithm	NOUN
alkej-733	15	5	,	,	PUNCT
alkej-733	15	6	convolutional	convolutional	ADJ
alkej-733	15	7	neural	neural	ADJ
alkej-733	15	8	networks	network	NOUN
alkej-733	15	9	,	,	PUNCT
alkej-733	15	10	computer	computer	NOUN
alkej-733	15	11	vision	vision	NOUN
alkej-733	15	12	,	,	PUNCT
alkej-733	15	13	deep	deep	ADJ
alkej-733	15	14	learning	learning	NOUN
alkej-733	15	15	,	,	PUNCT
alkej-733	15	16	image	image	NOUN
alkej-733	15	17	classification	classification	NOUN
alkej-733	15	18	,	,	PUNCT
alkej-733	15	19	quality	quality	NOUN
alkej-733	15	20	inspection	inspection	NOUN
alkej-733	15	21	,	,	PUNCT
alkej-733	15	22	transfer	transfer	NOUN
alkej-733	15	23	learning	learning	NOUN
alkej-733	15	24	.	.	PUNCT
alkej-733	16	1	1	1	X
alkej-733	16	2	.	.	X
alkej-733	16	3	introduction	introduction	NOUN
alkej-733	16	4	traditional	traditional	ADJ
alkej-733	16	5	layouts	layout	NOUN
alkej-733	16	6	,	,	PUNCT
alkej-733	16	7	has	have	AUX
alkej-733	16	8	consistently	consistently	ADV
alkej-733	16	9	been	be	AUX
alkej-733	16	10	a	a	DET
alkej-733	16	11	drawback	drawback	NOUN
alkej-733	16	12	with	with	ADP
alkej-733	16	13	regards	regard	NOUN
alkej-733	16	14	to	to	ADP
alkej-733	16	15	an	an	DET
alkej-733	16	16	excellent	excellent	ADJ
alkej-733	16	17	product	product	NOUN
alkej-733	16	18	.	.	PUNCT
alkej-733	17	1	manual	manual	ADJ
alkej-733	17	2	inspection	inspection	NOUN
alkej-733	17	3	is	be	AUX
alkej-733	17	4	one	one	NUM
alkej-733	17	5	of	of	ADP
alkej-733	17	6	the	the	DET
alkej-733	17	7	problems	problem	NOUN
alkej-733	17	8	that	that	PRON
alkej-733	17	9	adds	add	VERB
alkej-733	17	10	to	to	ADP
alkej-733	17	11	inferior	inferior	ADJ
alkej-733	17	12	production	production	NOUN
alkej-733	17	13	.	.	PUNCT
alkej-733	18	1	thus	thus	ADV
alkej-733	18	2	,	,	PUNCT
alkej-733	18	3	quality	quality	NOUN
alkej-733	18	4	inspection	inspection	NOUN
alkej-733	18	5	(	(	PUNCT
alkej-733	18	6	qi	qi	NOUN
alkej-733	18	7	)	)	PUNCT
alkej-733	18	8	is	be	AUX
alkej-733	18	9	considered	consider	VERB
alkej-733	18	10	as	as	ADP
alkej-733	18	11	one	one	NUM
alkej-733	18	12	of	of	ADP
alkej-733	18	13	the	the	DET
alkej-733	18	14	most	most	ADV
alkej-733	18	15	important	important	ADJ
alkej-733	18	16	stages	stage	NOUN
alkej-733	18	17	in	in	ADP
alkej-733	18	18	the	the	DET
alkej-733	18	19	flow	flow	NOUN
alkej-733	18	20	of	of	ADP
alkej-733	18	21	production	production	NOUN
alkej-733	18	22	,	,	PUNCT
alkej-733	18	23	which	which	PRON
alkej-733	18	24	decides	decide	VERB
alkej-733	18	25	if	if	SCONJ
alkej-733	18	26	the	the	DET
alkej-733	18	27	item	item	NOUN
alkej-733	18	28	has	have	AUX
alkej-733	18	29	conformed	conform	VERB
alkej-733	18	30	to	to	ADP
alkej-733	18	31	the	the	DET
alkej-733	18	32	ideal	ideal	ADJ
alkej-733	18	33	specifications	specification	NOUN
alkej-733	18	34	,	,	PUNCT
alkej-733	18	35	and	and	CCONJ
alkej-733	18	36	fit	fit	ADJ
alkej-733	18	37	to	to	PART
alkej-733	18	38	be	be	AUX
alkej-733	18	39	packed	pack	VERB
alkej-733	18	40	or	or	CCONJ
alkej-733	18	41	it	it	PRON
alkej-733	18	42	should	should	AUX
alkej-733	18	43	be	be	AUX
alkej-733	18	44	turned	turn	VERB
alkej-733	18	45	into	into	ADP
alkej-733	18	46	scrap	scrap	NOUN
alkej-733	18	47	.	.	PUNCT
alkej-733	19	1	however	however	ADV
alkej-733	19	2	,	,	PUNCT
alkej-733	19	3	sometimes	sometimes	ADV
alkej-733	19	4	an	an	DET
alkej-733	19	5	item	item	NOUN
alkej-733	19	6	can	can	AUX
alkej-733	19	7	be	be	AUX
alkej-733	19	8	reprocessed	reprocess	VERB
alkej-733	19	9	,	,	PUNCT
alkej-733	19	10	in	in	ADP
alkej-733	19	11	which	which	PRON
alkej-733	19	12	the	the	DET
alkej-733	19	13	damage	damage	NOUN
alkej-733	19	14	can	can	AUX
alkej-733	19	15	be	be	AUX
alkej-733	19	16	relatively	relatively	ADV
alkej-733	19	17	small	small	ADJ
alkej-733	19	18	such	such	ADJ
alkej-733	19	19	as	as	ADP
alkej-733	19	20	bad	bad	ADJ
alkej-733	19	21	surface	surface	NOUN
alkej-733	19	22	finish	finish	NOUN
alkej-733	19	23	.	.	PUNCT
alkej-733	20	1	there	there	PRON
alkej-733	20	2	are	be	VERB
alkej-733	20	3	numerous	numerous	ADJ
alkej-733	20	4	devices	device	NOUN
alkej-733	20	5	that	that	PRON
alkej-733	20	6	are	be	AUX
alkej-733	20	7	utilized	utilize	VERB
alkej-733	20	8	for	for	ADP
alkej-733	20	9	qi	qi	NOUN
alkej-733	20	10	,	,	PUNCT
alkej-733	20	11	contingent	contingent	ADJ
alkej-733	20	12	upon	upon	SCONJ
alkej-733	20	13	the	the	DET
alkej-733	20	14	necessary	necessary	ADJ
alkej-733	20	15	inspection	inspection	NOUN
alkej-733	20	16	task	task	NOUN
alkej-733	20	17	.	.	PUNCT
alkej-733	21	1	conventionally	conventionally	ADV
alkej-733	21	2	,	,	PUNCT
alkej-733	21	3	experts	expert	NOUN
alkej-733	21	4	took	take	VERB
alkej-733	21	5	care	care	NOUN
alkej-733	21	6	of	of	ADP
alkej-733	21	7	the	the	DET
alkej-733	21	8	vast	vast	ADJ
alkej-733	21	9	majority	majority	NOUN
alkej-733	21	10	of	of	ADP
alkej-733	21	11	those	those	DET
alkej-733	21	12	assignments	assignment	NOUN
alkej-733	21	13	manually	manually	ADV
alkej-733	21	14	,	,	PUNCT
alkej-733	21	15	yet	yet	CCONJ
alkej-733	21	16	those	those	DET
alkej-733	21	17	techniques	technique	NOUN
alkej-733	21	18	were	be	AUX
alkej-733	21	19	not	not	PART
alkej-733	21	20	proficient	proficient	ADJ
alkej-733	21	21	.	.	PUNCT
alkej-733	22	1	they	they	PRON
alkej-733	22	2	did	do	AUX
alkej-733	22	3	not	not	PART
alkej-733	22	4	just	just	ADV
alkej-733	22	5	increase	increase	VERB
alkej-733	22	6	lead	lead	ADJ
alkej-733	22	7	times	time	NOUN
alkej-733	22	8	,	,	PUNCT
alkej-733	22	9	yet	yet	ADV
alkej-733	22	10	additionally	additionally	ADV
alkej-733	22	11	expanded	expand	VERB
alkej-733	22	12	labor	labor	NOUN
alkej-733	22	13	and	and	CCONJ
alkej-733	22	14	product	product	NOUN
alkej-733	22	15	costs	cost	NOUN
alkej-733	22	16	,	,	PUNCT
alkej-733	22	17	lower	low	ADJ
alkej-733	22	18	rate	rate	NOUN
alkej-733	22	19	of	of	ADP
alkej-733	22	20	production	production	NOUN
alkej-733	22	21	,	,	PUNCT
alkej-733	22	22	and	and	CCONJ
alkej-733	22	23	eventually	eventually	ADV
alkej-733	22	24	prompted	prompt	VERB
alkej-733	22	25	a	a	DET
alkej-733	22	26	decrease	decrease	NOUN
alkej-733	22	27	in	in	ADP
alkej-733	22	28	income	income	NOUN
alkej-733	22	29	.	.	PUNCT
alkej-733	23	1	these	these	DET
alkej-733	23	2	days	day	NOUN
alkej-733	23	3	,	,	PUNCT
alkej-733	23	4	qi	qi	NOUN
alkej-733	23	5	experts	expert	NOUN
alkej-733	23	6	and	and	CCONJ
alkej-733	23	7	designers	designer	NOUN
alkej-733	23	8	,	,	PUNCT
alkej-733	23	9	lean	lean	ADJ
alkej-733	23	10	towards	towards	ADP
alkej-733	23	11	discovering	discover	VERB
alkej-733	23	12	advanced	advanced	ADJ
alkej-733	23	13	solutions	solution	NOUN
alkej-733	23	14	and	and	CCONJ
alkej-733	23	15	new	new	ADJ
alkej-733	23	16	methodologies	methodology	NOUN
alkej-733	23	17	,	,	PUNCT
alkej-733	23	18	to	to	PART
alkej-733	23	19	achieve	achieve	VERB
alkej-733	23	20	the	the	DET
alkej-733	23	21	objective	objective	NOUN
alkej-733	23	22	of	of	ADP
alkej-733	23	23	ideal	ideal	ADJ
alkej-733	23	24	quality	quality	NOUN
alkej-733	23	25	at	at	ADP
alkej-733	23	26	low	low	ADJ
alkej-733	23	27	expenses	expense	NOUN
alkej-733	23	28	,	,	PUNCT
alkej-733	23	29	and	and	CCONJ
alkej-733	23	30	less	less	ADJ
alkej-733	23	31	consumption	consumption	NOUN
alkej-733	23	32	of	of	ADP
alkej-733	23	33	time	time	NOUN
alkej-733	23	34	.	.	PUNCT
alkej-733	24	1	inspection	inspection	NOUN
alkej-733	24	2	is	be	AUX
alkej-733	24	3	considered	consider	VERB
alkej-733	24	4	as	as	ADP
alkej-733	24	5	a	a	DET
alkej-733	24	6	tool	tool	NOUN
alkej-733	24	7	within	within	ADP
alkej-733	24	8	quality	quality	NOUN
alkej-733	24	9	control	control	NOUN
alkej-733	24	10	,	,	PUNCT
alkej-733	24	11	which	which	PRON
alkej-733	24	12	distinguishes	distinguish	VERB
alkej-733	24	13	the	the	DET
alkej-733	24	14	defects	defect	NOUN
alkej-733	25	1	mailto:ahmednajah5049@gmail.com	mailto:ahmednajah5049@gmail.com	PROPN
alkej-733	25	2	mailto:faizalrawy@yahoo.com	mailto:faizalrawy@yahoo.com	PROPN
alkej-733	25	3	mailto:wisam@kecbu.uobaghdad.edu.iq	mailto:wisam@kecbu.uobaghdad.edu.iq	PROPN
alkej-733	25	4	https://doi.org/10.22153/kej.2021.12.001	https://doi.org/10.22153/kej.2021.12.001	PROPN
alkej-733	25	5	ahmed	ahmed	PROPN
alkej-733	25	6	najah	najah	PROPN
alkej-733	25	7	al	al	PROPN
alkej-733	25	8	-	-	PUNCT
alkej-733	25	9	khwarizmi	khwarizmi	PROPN
alkej-733	25	10	engineering	engineering	NOUN
alkej-733	25	11	journal	journal	PROPN
alkej-733	25	12	,	,	PUNCT
alkej-733	25	13	vol	vol	NOUN
alkej-733	25	14	.	.	PROPN
alkej-733	25	15	17	17	NUM
alkej-733	25	16	,	,	PUNCT
alkej-733	25	17	no	no	INTJ
alkej-733	25	18	.	.	NOUN
alkej-733	25	19	1	1	NUM
alkej-733	25	20	,	,	PUNCT
alkej-733	25	21	p.p	p.p	PROPN
alkej-733	25	22	.	.	PROPN
alkej-733	25	23	1118	1118	NUM
alkej-733	25	24	(	(	PUNCT
alkej-733	25	25	2021	2021	NUM
alkej-733	25	26	)	)	PUNCT
alkej-733	25	27	2	2	NUM
alkej-733	25	28	and	and	CCONJ
alkej-733	25	29	assures	assure	VERB
alkej-733	25	30	the	the	DET
alkej-733	25	31	level	level	NOUN
alkej-733	25	32	of	of	ADP
alkej-733	25	33	quality	quality	NOUN
alkej-733	25	34	of	of	ADP
alkej-733	25	35	the	the	DET
alkej-733	25	36	product	product	NOUN
alkej-733	25	37	,	,	PUNCT
alkej-733	25	38	new	new	ADJ
alkej-733	25	39	methodologies	methodology	NOUN
alkej-733	25	40	that	that	PRON
alkej-733	25	41	achieve	achieve	VERB
alkej-733	25	42	this	this	DET
alkej-733	25	43	task	task	NOUN
alkej-733	25	44	comprise	comprise	NOUN
alkej-733	25	45	of	of	ADP
alkej-733	25	46	:	:	PUNCT
alkej-733	25	47	inspection	inspection	NOUN
alkej-733	25	48	systems	system	NOUN
alkej-733	25	49	that	that	PRON
alkej-733	25	50	are	be	AUX
alkej-733	25	51	fully	fully	ADV
alkej-733	25	52	automated	automate	VERB
alkej-733	25	53	rather	rather	ADV
alkej-733	25	54	than	than	ADP
alkej-733	25	55	manual	manual	ADJ
alkej-733	25	56	techniques	technique	NOUN
alkej-733	25	57	,	,	PUNCT
alkej-733	25	58	sensors	sensor	NOUN
alkej-733	25	59	systems	system	NOUN
alkej-733	25	60	to	to	PART
alkej-733	25	61	perform	perform	VERB
alkej-733	25	62	on	on	ADP
alkej-733	25	63	-	-	PUNCT
alkej-733	25	64	line	line	NOUN
alkej-733	25	65	assessment	assessment	NOUN
alkej-733	25	66	rather	rather	ADV
alkej-733	25	67	than	than	ADP
alkej-733	25	68	off	off	ADP
alkej-733	25	69	-	-	PUNCT
alkej-733	25	70	line	line	NOUN
alkej-733	25	71	review	review	NOUN
alkej-733	25	72	[	[	X
alkej-733	25	73	1	1	NUM
alkej-733	25	74	]	]	PUNCT
alkej-733	25	75	.	.	PUNCT
alkej-733	26	1	since	since	SCONJ
alkej-733	26	2	qi	qi	PROPN
alkej-733	26	3	is	be	AUX
alkej-733	26	4	an	an	DET
alkej-733	26	5	important	important	ADJ
alkej-733	26	6	stage	stage	NOUN
alkej-733	26	7	in	in	ADP
alkej-733	26	8	the	the	DET
alkej-733	26	9	production	production	NOUN
alkej-733	26	10	cycle	cycle	NOUN
alkej-733	26	11	,	,	PUNCT
alkej-733	26	12	attention	attention	NOUN
alkej-733	26	13	must	must	AUX
alkej-733	26	14	be	be	AUX
alkej-733	26	15	focused	focus	VERB
alkej-733	26	16	on	on	ADP
alkej-733	26	17	its	its	PRON
alkej-733	26	18	methodological	methodological	ADJ
alkej-733	26	19	improvement	improvement	NOUN
alkej-733	26	20	.	.	PUNCT
alkej-733	27	1	to	to	PART
alkej-733	27	2	satisfy	satisfy	VERB
alkej-733	27	3	this	this	DET
alkej-733	27	4	demand	demand	NOUN
alkej-733	27	5	;	;	PUNCT
alkej-733	27	6	advanced	advanced	ADJ
alkej-733	27	7	technologies	technology	NOUN
alkej-733	27	8	such	such	ADJ
alkej-733	27	9	as	as	ADP
alkej-733	27	10	computer	computer	NOUN
alkej-733	27	11	vision	vision	NOUN
alkej-733	27	12	(	(	PUNCT
alkej-733	27	13	cv	cv	PROPN
alkej-733	27	14	)	)	PUNCT
alkej-733	27	15	,	,	PUNCT
alkej-733	27	16	which	which	PRON
alkej-733	27	17	is	be	AUX
alkej-733	27	18	one	one	NUM
alkej-733	27	19	of	of	ADP
alkej-733	27	20	the	the	DET
alkej-733	27	21	artificial	artificial	ADJ
alkej-733	27	22	intelligence	intelligence	NOUN
alkej-733	27	23	(	(	PUNCT
alkej-733	27	24	ai	ai	NOUN
alkej-733	27	25	)	)	PUNCT
alkej-733	27	26	applications	application	NOUN
alkej-733	27	27	should	should	AUX
alkej-733	27	28	be	be	AUX
alkej-733	27	29	used	use	VERB
alkej-733	27	30	.	.	PUNCT
alkej-733	28	1	this	this	DET
alkej-733	28	2	technology	technology	NOUN
alkej-733	28	3	gives	give	VERB
alkej-733	28	4	frameworks	framework	NOUN
alkej-733	28	5	the	the	DET
alkej-733	28	6	ability	ability	NOUN
alkej-733	28	7	to	to	PART
alkej-733	28	8	interpret	interpret	VERB
alkej-733	28	9	the	the	DET
alkej-733	28	10	visual	visual	ADJ
alkej-733	28	11	world	world	NOUN
alkej-733	28	12	by	by	ADP
alkej-733	28	13	using	use	VERB
alkej-733	28	14	deep	deep	ADJ
alkej-733	28	15	learning	learning	NOUN
alkej-733	28	16	(	(	PUNCT
alkej-733	28	17	dl	dl	NOUN
alkej-733	28	18	)	)	PUNCT
alkej-733	28	19	models	model	NOUN
alkej-733	28	20	and	and	CCONJ
alkej-733	28	21	digital	digital	ADJ
alkej-733	28	22	images	image	NOUN
alkej-733	28	23	,	,	PUNCT
alkej-733	28	24	in	in	ADP
alkej-733	28	25	which	which	PRON
alkej-733	28	26	the	the	DET
alkej-733	28	27	machine	machine	NOUN
alkej-733	28	28	can	can	AUX
alkej-733	28	29	distinguish	distinguish	VERB
alkej-733	28	30	and	and	CCONJ
alkej-733	28	31	classify	classify	VERB
alkej-733	28	32	the	the	DET
alkej-733	28	33	objects	object	NOUN
alkej-733	28	34	.	.	PUNCT
alkej-733	29	1	generally	generally	ADV
alkej-733	29	2	,	,	PUNCT
alkej-733	29	3	gears	gear	NOUN
alkej-733	29	4	are	be	AUX
alkej-733	29	5	recognized	recognize	VERB
alkej-733	29	6	as	as	ADP
alkej-733	29	7	essential	essential	ADJ
alkej-733	29	8	components	component	NOUN
alkej-733	29	9	in	in	ADP
alkej-733	29	10	any	any	DET
alkej-733	29	11	machine	machine	NOUN
alkej-733	29	12	,	,	PUNCT
alkej-733	29	13	they	they	PRON
alkej-733	29	14	can	can	AUX
alkej-733	29	15	be	be	AUX
alkej-733	29	16	found	find	VERB
alkej-733	29	17	separated	separate	VERB
alkej-733	29	18	or	or	CCONJ
alkej-733	29	19	working	work	VERB
alkej-733	29	20	together	together	ADV
alkej-733	29	21	in	in	ADP
alkej-733	29	22	a	a	DET
alkej-733	29	23	gearbox	gearbox	NOUN
alkej-733	29	24	to	to	PART
alkej-733	29	25	manipulate	manipulate	VERB
alkej-733	29	26	the	the	DET
alkej-733	29	27	movement	movement	NOUN
alkej-733	29	28	of	of	ADP
alkej-733	29	29	wheels	wheel	NOUN
alkej-733	29	30	.	.	PUNCT
alkej-733	30	1	since	since	SCONJ
alkej-733	30	2	gears	gear	NOUN
alkej-733	30	3	play	play	VERB
alkej-733	30	4	an	an	DET
alkej-733	30	5	essential	essential	ADJ
alkej-733	30	6	role	role	NOUN
alkej-733	30	7	in	in	ADP
alkej-733	30	8	machinery	machinery	NOUN
alkej-733	30	9	,	,	PUNCT
alkej-733	30	10	they	they	PRON
alkej-733	30	11	must	must	AUX
alkej-733	30	12	be	be	AUX
alkej-733	30	13	manufactured	manufacture	VERB
alkej-733	30	14	carefully	carefully	ADV
alkej-733	30	15	.	.	PUNCT
alkej-733	31	1	therefore	therefore	ADV
alkej-733	31	2	,	,	PUNCT
alkej-733	31	3	optimum	optimum	ADJ
alkej-733	31	4	quality	quality	NOUN
alkej-733	31	5	of	of	ADP
alkej-733	31	6	gears	gear	NOUN
alkej-733	31	7	must	must	AUX
alkej-733	31	8	be	be	AUX
alkej-733	31	9	obtained	obtain	VERB
alkej-733	31	10	and	and	CCONJ
alkej-733	31	11	that	that	PRON
alkej-733	31	12	can	can	AUX
alkej-733	31	13	be	be	AUX
alkej-733	31	14	assured	assure	VERB
alkej-733	31	15	by	by	ADP
alkej-733	31	16	performing	perform	VERB
alkej-733	31	17	inspection	inspection	NOUN
alkej-733	31	18	on	on	ADP
alkej-733	31	19	the	the	DET
alkej-733	31	20	produced	produce	VERB
alkej-733	31	21	gears	gear	NOUN
alkej-733	31	22	.	.	PUNCT
alkej-733	32	1	recent	recent	ADJ
alkej-733	32	2	progressions	progression	NOUN
alkej-733	32	3	that	that	PRON
alkej-733	32	4	are	be	AUX
alkej-733	32	5	concerned	concern	VERB
alkej-733	32	6	with	with	ADP
alkej-733	32	7	the	the	DET
alkej-733	32	8	inspection	inspection	NOUN
alkej-733	32	9	of	of	ADP
alkej-733	32	10	gears	gear	NOUN
alkej-733	32	11	have	have	AUX
alkej-733	32	12	broadly	broadly	ADV
alkej-733	32	13	utilized	utilize	VERB
alkej-733	32	14	mathematical	mathematical	ADJ
alkej-733	32	15	analysis	analysis	NOUN
alkej-733	32	16	strategies	strategy	NOUN
alkej-733	32	17	to	to	PART
alkej-733	32	18	achieve	achieve	VERB
alkej-733	32	19	inspection	inspection	NOUN
alkej-733	32	20	tasks	task	NOUN
alkej-733	32	21	,	,	PUNCT
alkej-733	32	22	for	for	ADP
alkej-733	32	23	example	example	NOUN
alkej-733	32	24	,	,	PUNCT
alkej-733	32	25	detection	detection	NOUN
alkej-733	32	26	of	of	ADP
alkej-733	32	27	plastic	plastic	ADJ
alkej-733	32	28	gear	gear	NOUN
alkej-733	32	29	defects	defect	NOUN
alkej-733	32	30	with	with	ADP
alkej-733	32	31	image	image	NOUN
alkej-733	32	32	processing	processing	NOUN
alkej-733	32	33	[	[	X
alkej-733	32	34	2	2	NUM
alkej-733	32	35	]	]	PUNCT
alkej-733	32	36	,	,	PUNCT
alkej-733	32	37	using	use	VERB
alkej-733	32	38	wavelet	wavelet	NOUN
alkej-733	32	39	transform	transform	NOUN
alkej-733	32	40	for	for	ADP
alkej-733	32	41	fault	fault	NOUN
alkej-733	32	42	detection	detection	NOUN
alkej-733	32	43	of	of	ADP
alkej-733	32	44	planetary	planetary	ADJ
alkej-733	32	45	gears	gear	NOUN
alkej-733	32	46	system	system	NOUN
alkej-733	32	47	[	[	X
alkej-733	32	48	3	3	NUM
alkej-733	32	49	]	]	PUNCT
alkej-733	32	50	,	,	PUNCT
alkej-733	32	51	detection	detection	NOUN
alkej-733	32	52	of	of	ADP
alkej-733	32	53	gear	gear	NOUN
alkej-733	32	54	faults	fault	NOUN
alkej-733	32	55	using	use	VERB
alkej-733	32	56	:	:	PUNCT
alkej-733	32	57	morlet	morlet	ADJ
alkej-733	32	58	-	-	PUNCT
alkej-733	32	59	wavelet	wavelet	NOUN
alkej-733	32	60	filter	filter	NOUN
alkej-733	32	61	[	[	X
alkej-733	32	62	4	4	NUM
alkej-733	32	63	]	]	PUNCT
alkej-733	32	64	,	,	PUNCT
alkej-733	32	65	adaptive	adaptive	ADJ
alkej-733	32	66	wavelet	wavelet	NOUN
alkej-733	32	67	threshold	threshold	NOUN
alkej-733	32	68	de	de	X
alkej-733	32	69	-	-	ADJ
alkej-733	32	70	noising	noising	ADJ
alkej-733	33	1	[	[	X
alkej-733	33	2	5	5	NUM
alkej-733	33	3	]	]	PUNCT
alkej-733	33	4	and	and	CCONJ
alkej-733	33	5	cosine	cosine	NOUN
alkej-733	33	6	similarity	similarity	NOUN
alkej-733	33	7	,	,	PUNCT
alkej-733	33	8	wavelet	wavelet	NOUN
alkej-733	33	9	transform	transform	NOUN
alkej-733	33	10	and	and	CCONJ
alkej-733	33	11	hilbert	hilbert	NOUN
alkej-733	33	12	transform	transform	NOUN
alkej-733	33	13	[	[	X
alkej-733	33	14	6	6	NUM
alkej-733	33	15	]	]	PUNCT
alkej-733	33	16	.	.	PUNCT
alkej-733	34	1	moreover	moreover	ADV
alkej-733	34	2	,	,	PUNCT
alkej-733	34	3	gear	gear	NOUN
alkej-733	34	4	faults	fault	NOUN
alkej-733	34	5	diagnosis	diagnosis	NOUN
alkej-733	34	6	using	use	VERB
alkej-733	34	7	:	:	PUNCT
alkej-733	34	8	adaptive	adaptive	ADJ
alkej-733	34	9	impulsive	impulsive	ADJ
alkej-733	34	10	wavelet	wavelet	NOUN
alkej-733	34	11	transform	transform	NOUN
alkej-733	34	12	[	[	X
alkej-733	34	13	7	7	NUM
alkej-733	34	14	]	]	PUNCT
alkej-733	34	15	,	,	PUNCT
alkej-733	34	16	utilizing	utilize	VERB
alkej-733	34	17	extreme	extreme	ADJ
alkej-733	34	18	learning	learning	NOUN
alkej-733	34	19	machines	machine	NOUN
alkej-733	34	20	and	and	CCONJ
alkej-733	34	21	numerical	numerical	PROPN
alkej-733	34	22	simulation	simulation	NOUN
alkej-733	35	1	[	[	X
alkej-733	35	2	8	8	NUM
alkej-733	35	3	]	]	PUNCT
alkej-733	35	4	,	,	PUNCT
alkej-733	35	5	discrete	discrete	ADJ
alkej-733	35	6	wavelet	wavelet	NOUN
alkej-733	35	7	packet	packet	NOUN
alkej-733	35	8	for	for	ADP
alkej-733	35	9	feature	feature	NOUN
alkej-733	35	10	selection	selection	NOUN
alkej-733	35	11	of	of	ADP
alkej-733	35	12	gear	gear	NOUN
alkej-733	35	13	faults	fault	NOUN
alkej-733	35	14	[	[	X
alkej-733	35	15	9	9	NUM
alkej-733	35	16	]	]	PUNCT
alkej-733	35	17	and	and	CCONJ
alkej-733	35	18	inspection	inspection	NOUN
alkej-733	35	19	of	of	ADP
alkej-733	35	20	polymer	polymer	NOUN
alkej-733	35	21	spur	spur	NOUN
alkej-733	35	22	gears	gear	NOUN
alkej-733	36	1	[	[	X
alkej-733	36	2	10	10	NUM
alkej-733	36	3	]	]	PUNCT
alkej-733	36	4	.	.	PUNCT
alkej-733	37	1	advanced	advanced	ADJ
alkej-733	37	2	technologies	technology	NOUN
alkej-733	37	3	like	like	ADP
alkej-733	37	4	ai	ai	VERB
alkej-733	37	5	and	and	CCONJ
alkej-733	37	6	cv	cv	PROPN
alkej-733	37	7	are	be	AUX
alkej-733	37	8	also	also	ADV
alkej-733	37	9	employed	employ	VERB
alkej-733	37	10	for	for	ADP
alkej-733	37	11	inspection	inspection	NOUN
alkej-733	37	12	,	,	PUNCT
alkej-733	37	13	such	such	ADJ
alkej-733	37	14	as	as	ADP
alkej-733	37	15	:	:	PUNCT
alkej-733	37	16	using	use	VERB
alkej-733	37	17	machine	machine	NOUN
alkej-733	37	18	vision	vision	NOUN
alkej-733	37	19	for	for	ADP
alkej-733	37	20	spur	spur	NOUN
alkej-733	37	21	gears	gear	NOUN
alkej-733	37	22	parameters	parameter	NOUN
alkej-733	37	23	measurement	measurement	NOUN
alkej-733	38	1	[	[	X
alkej-733	38	2	11	11	NUM
alkej-733	38	3	]	]	PUNCT
alkej-733	38	4	,	,	PUNCT
alkej-733	38	5	using	use	VERB
alkej-733	38	6	cv	cv	PROPN
alkej-733	38	7	to	to	PART
alkej-733	38	8	detect	detect	VERB
alkej-733	38	9	gear	gear	NOUN
alkej-733	38	10	tooth	tooth	NOUN
alkej-733	38	11	number	number	NOUN
alkej-733	38	12	[	[	X
alkej-733	38	13	12	12	NUM
alkej-733	38	14	]	]	PUNCT
alkej-733	38	15	,	,	PUNCT
alkej-733	38	16	using	use	VERB
alkej-733	38	17	artificial	artificial	ADJ
alkej-733	38	18	vision	vision	NOUN
alkej-733	38	19	for	for	ADP
alkej-733	38	20	quality	quality	NOUN
alkej-733	38	21	control	control	NOUN
alkej-733	38	22	of	of	ADP
alkej-733	38	23	spur	spur	NOUN
alkej-733	38	24	gears	gear	NOUN
alkej-733	38	25	[	[	X
alkej-733	38	26	13	13	NUM
alkej-733	38	27	]	]	PUNCT
alkej-733	38	28	,	,	PUNCT
alkej-733	38	29	inspection	inspection	NOUN
alkej-733	38	30	of	of	ADP
alkej-733	38	31	gear	gear	NOUN
alkej-733	38	32	faults	fault	NOUN
alkej-733	38	33	using	use	VERB
alkej-733	38	34	support	support	NOUN
alkej-733	38	35	vector	vector	NOUN
alkej-733	38	36	machines	machine	NOUN
alkej-733	38	37	(	(	PUNCT
alkej-733	38	38	svms	svms	NOUN
alkej-733	38	39	)	)	PUNCT
alkej-733	38	40	and	and	CCONJ
alkej-733	38	41	artificial	artificial	ADJ
alkej-733	38	42	neural	neural	ADJ
alkej-733	38	43	networks	network	NOUN
alkej-733	38	44	(	(	PUNCT
alkej-733	38	45	anns	anns	PROPN
alkej-733	38	46	)	)	PUNCT
alkej-733	39	1	[	[	X
alkej-733	39	2	14	14	NUM
alkej-733	39	3	]	]	PUNCT
alkej-733	39	4	,	,	PUNCT
alkej-733	39	5	determining	determine	VERB
alkej-733	39	6	fine	fine	ADJ
alkej-733	39	7	-	-	PUNCT
alkej-733	39	8	pitch	pitch	NOUN
alkej-733	39	9	gears	gear	NOUN
alkej-733	39	10	centers	center	NOUN
alkej-733	39	11	using	use	VERB
alkej-733	39	12	machine	machine	NOUN
alkej-733	39	13	vision	vision	NOUN
alkej-733	40	1	[	[	X
alkej-733	40	2	15	15	NUM
alkej-733	40	3	]	]	PUNCT
alkej-733	40	4	,	,	PUNCT
alkej-733	40	5	gear	gear	NOUN
alkej-733	40	6	faults	fault	NOUN
alkej-733	40	7	with	with	ADP
alkej-733	40	8	convolutional	convolutional	ADJ
alkej-733	40	9	neural	neural	ADJ
alkej-733	40	10	networks	network	NOUN
alkej-733	40	11	(	(	PUNCT
alkej-733	40	12	cnns	cnns	PROPN
alkej-733	40	13	)	)	PUNCT
alkej-733	41	1	[	[	X
alkej-733	41	2	16	16	NUM
alkej-733	41	3	]	]	PUNCT
alkej-733	41	4	,	,	PUNCT
alkej-733	41	5	gears	gear	VERB
alkej-733	41	6	diagnosis	diagnosis	NOUN
alkej-733	41	7	using	use	VERB
alkej-733	41	8	cnns	cnn	NOUN
alkej-733	42	1	[	[	X
alkej-733	42	2	17	17	NUM
alkej-733	42	3	]	]	PUNCT
alkej-733	42	4	and	and	CCONJ
alkej-733	42	5	inspection	inspection	NOUN
alkej-733	42	6	of	of	ADP
alkej-733	42	7	plastic	plastic	NOUN
alkej-733	42	8	gears	gear	NOUN
alkej-733	42	9	using	use	VERB
alkej-733	42	10	ann	ann	PROPN
alkej-733	42	11	and	and	CCONJ
alkej-733	42	12	svm	svm	PROPN
alkej-733	42	13	based	base	VERB
alkej-733	42	14	method	method	NOUN
alkej-733	42	15	[	[	X
alkej-733	42	16	18	18	NUM
alkej-733	42	17	]	]	PUNCT
alkej-733	42	18	.	.	PUNCT
alkej-733	43	1	ai	ai	PROPN
alkej-733	43	2	and	and	CCONJ
alkej-733	43	3	cv	cv	PROPN
alkej-733	43	4	are	be	AUX
alkej-733	43	5	also	also	ADV
alkej-733	43	6	used	use	VERB
alkej-733	43	7	for	for	ADP
alkej-733	43	8	other	other	ADJ
alkej-733	43	9	ai	ai	PROPN
alkej-733	43	10	inspection	inspection	NOUN
alkej-733	43	11	related	relate	VERB
alkej-733	43	12	application	application	NOUN
alkej-733	43	13	like	like	ADP
alkej-733	43	14	:	:	PUNCT
alkej-733	43	15	dimensions	dimension	NOUN
alkej-733	43	16	inspection	inspection	NOUN
alkej-733	43	17	with	with	ADP
alkej-733	43	18	machine	machine	NOUN
alkej-733	43	19	vision	vision	NOUN
alkej-733	43	20	[	[	X
alkej-733	43	21	19	19	NUM
alkej-733	43	22	]	]	PUNCT
alkej-733	43	23	,	,	PUNCT
alkej-733	43	24	detection	detection	NOUN
alkej-733	43	25	of	of	ADP
alkej-733	43	26	defects	defect	NOUN
alkej-733	43	27	in	in	ADP
alkej-733	43	28	products	product	NOUN
alkej-733	43	29	[	[	X
alkej-733	43	30	20	20	NUM
alkej-733	43	31	]	]	PUNCT
alkej-733	43	32	,	,	PUNCT
alkej-733	43	33	sugarcane	sugarcane	NOUN
alkej-733	43	34	varieties	variety	NOUN
alkej-733	43	35	inspection	inspection	NOUN
alkej-733	44	1	[	[	X
alkej-733	44	2	21	21	NUM
alkej-733	44	3	]	]	PUNCT
alkej-733	44	4	,	,	PUNCT
alkej-733	44	5	welding	weld	VERB
alkej-733	44	6	inspection	inspection	NOUN
alkej-733	44	7	[	[	X
alkej-733	44	8	22	22	NUM
alkej-733	44	9	]	]	SYM
alkej-733	44	10	inspection	inspection	NOUN
alkej-733	44	11	of	of	ADP
alkej-733	44	12	optical	optical	ADJ
alkej-733	44	13	laser	laser	NOUN
alkej-733	44	14	welding	weld	VERB
alkej-733	44	15	[	[	X
alkej-733	44	16	23	23	NUM
alkej-733	44	17	]	]	PUNCT
alkej-733	44	18	and	and	CCONJ
alkej-733	44	19	inspection	inspection	NOUN
alkej-733	44	20	of	of	ADP
alkej-733	44	21	aerospace	aerospace	NOUN
alkej-733	44	22	components	component	NOUN
alkej-733	44	23	[	[	X
alkej-733	44	24	24	24	NUM
alkej-733	44	25	]	]	PUNCT
alkej-733	44	26	.	.	PUNCT
alkej-733	45	1	vibration	vibration	NOUN
alkej-733	45	2	signals	signal	NOUN
alkej-733	45	3	were	be	AUX
alkej-733	45	4	the	the	DET
alkej-733	45	5	source	source	NOUN
alkej-733	45	6	information	information	NOUN
alkej-733	45	7	in	in	ADP
alkej-733	45	8	most	most	ADJ
alkej-733	45	9	of	of	ADP
alkej-733	45	10	the	the	DET
alkej-733	45	11	gears	gear	NOUN
alkej-733	45	12	related	relate	VERB
alkej-733	45	13	literature	literature	NOUN
alkej-733	45	14	mentioned	mention	VERB
alkej-733	45	15	above	above	ADV
alkej-733	45	16	.	.	PUNCT
alkej-733	46	1	therefore	therefore	ADV
alkej-733	46	2	,	,	PUNCT
alkej-733	46	3	to	to	PART
alkej-733	46	4	stay	stay	VERB
alkej-733	46	5	updated	update	VERB
alkej-733	46	6	with	with	ADP
alkej-733	46	7	the	the	DET
alkej-733	46	8	state	state	NOUN
alkej-733	46	9	of	of	ADP
alkej-733	46	10	the	the	DET
alkej-733	46	11	art	art	NOUN
alkej-733	46	12	,	,	PUNCT
alkej-733	46	13	in	in	ADP
alkej-733	46	14	this	this	DET
alkej-733	46	15	research	research	NOUN
alkej-733	46	16	,	,	PUNCT
alkej-733	46	17	we	we	PRON
alkej-733	46	18	present	present	VERB
alkej-733	46	19	a	a	DET
alkej-733	46	20	transfer	transfer	NOUN
alkej-733	46	21	learning	learn	VERB
alkej-733	46	22	approach	approach	NOUN
alkej-733	46	23	that	that	PRON
alkej-733	46	24	is	be	AUX
alkej-733	46	25	based	base	VERB
alkej-733	46	26	on	on	ADP
alkej-733	46	27	cnns	cnn	NOUN
alkej-733	46	28	to	to	PART
alkej-733	46	29	classify	classify	VERB
alkej-733	46	30	helical	helical	ADJ
alkej-733	46	31	gears	gear	NOUN
alkej-733	46	32	into	into	ADP
alkej-733	46	33	healthy	healthy	ADJ
alkej-733	46	34	and	and	CCONJ
alkej-733	46	35	defected	defected	ADJ
alkej-733	46	36	classes	class	NOUN
alkej-733	46	37	in	in	ADP
alkej-733	46	38	attempt	attempt	NOUN
alkej-733	46	39	to	to	PART
alkej-733	46	40	build	build	VERB
alkej-733	46	41	an	an	DET
alkej-733	46	42	accurate	accurate	ADJ
alkej-733	46	43	,	,	PUNCT
alkej-733	46	44	low	low	ADJ
alkej-733	46	45	cost	cost	NOUN
alkej-733	46	46	inspection	inspection	NOUN
alkej-733	46	47	system	system	NOUN
alkej-733	46	48	with	with	ADP
alkej-733	46	49	automatic	automatic	ADJ
alkej-733	46	50	features	feature	NOUN
alkej-733	46	51	extraction	extraction	NOUN
alkej-733	46	52	.	.	PUNCT
alkej-733	47	1	since	since	SCONJ
alkej-733	47	2	this	this	DET
alkej-733	47	3	methodology	methodology	NOUN
alkej-733	47	4	depends	depend	VERB
alkej-733	47	5	on	on	ADP
alkej-733	47	6	neural	neural	ADJ
alkej-733	47	7	networks	network	NOUN
alkej-733	47	8	,	,	PUNCT
alkej-733	47	9	manual	manual	ADJ
alkej-733	47	10	features	feature	NOUN
alkej-733	47	11	extraction	extraction	NOUN
alkej-733	47	12	was	be	AUX
alkej-733	47	13	not	not	PART
alkej-733	47	14	involved	involve	VERB
alkej-733	47	15	.	.	PUNCT
alkej-733	48	1	also	also	ADV
alkej-733	48	2	,	,	PUNCT
alkej-733	48	3	the	the	DET
alkej-733	48	4	issue	issue	NOUN
alkej-733	48	5	of	of	ADP
alkej-733	48	6	lacking	lack	VERB
alkej-733	48	7	data	datum	NOUN
alkej-733	48	8	is	be	AUX
alkej-733	48	9	bypassed	bypass	VERB
alkej-733	48	10	by	by	ADP
alkej-733	48	11	using	use	VERB
alkej-733	48	12	a	a	DET
alkej-733	48	13	deep	deep	ADJ
alkej-733	48	14	neural	neural	ADJ
alkej-733	48	15	network	network	NOUN
alkej-733	48	16	(	(	PUNCT
alkej-733	48	17	dnn	dnn	PROPN
alkej-733	48	18	)	)	PUNCT
alkej-733	48	19	that	that	PRON
alkej-733	48	20	was	be	AUX
alkej-733	48	21	previously	previously	ADV
alkej-733	48	22	trained	train	VERB
alkej-733	48	23	on	on	ADP
alkej-733	48	24	(	(	PUNCT
alkej-733	48	25	1.2	1.2	NUM
alkej-733	48	26	million	million	NUM
alkej-733	48	27	)	)	PUNCT
alkej-733	48	28	pictures	picture	NOUN
alkej-733	48	29	from	from	ADP
alkej-733	48	30	imagenet	imagenet	NOUN
alkej-733	48	31	[	[	X
alkej-733	48	32	25	25	NUM
alkej-733	48	33	]	]	PUNCT
alkej-733	48	34	.	.	PUNCT
alkej-733	49	1	the	the	DET
alkej-733	49	2	parameters	parameter	NOUN
alkej-733	49	3	from	from	ADP
alkej-733	49	4	the	the	DET
alkej-733	49	5	trained	train	VERB
alkej-733	49	6	network	network	NOUN
alkej-733	49	7	are	be	AUX
alkej-733	49	8	imported	import	VERB
alkej-733	49	9	to	to	ADP
alkej-733	49	10	the	the	DET
alkej-733	49	11	new	new	ADJ
alkej-733	49	12	architecture	architecture	NOUN
alkej-733	49	13	as	as	ADP
alkej-733	49	14	the	the	DET
alkej-733	49	15	initial	initial	ADJ
alkej-733	49	16	segment	segment	NOUN
alkej-733	49	17	and	and	CCONJ
alkej-733	49	18	an	an	DET
alkej-733	49	19	undeveloped	undeveloped	ADJ
alkej-733	49	20	neural	neural	ADJ
alkej-733	49	21	network	network	NOUN
alkej-733	49	22	fills	fill	VERB
alkej-733	49	23	in	in	ADV
alkej-733	49	24	as	as	ADP
alkej-733	49	25	the	the	DET
alkej-733	49	26	subsequent	subsequent	ADJ
alkej-733	49	27	part	part	NOUN
alkej-733	49	28	,	,	PUNCT
alkej-733	49	29	which	which	PRON
alkej-733	49	30	accommodates	accommodate	VERB
alkej-733	49	31	the	the	DET
alkej-733	49	32	task	task	NOUN
alkej-733	49	33	of	of	ADP
alkej-733	49	34	gears	gear	NOUN
alkej-733	49	35	faults	fault	NOUN
alkej-733	49	36	identification	identification	NOUN
alkej-733	49	37	.	.	PUNCT
alkej-733	50	1	the	the	DET
alkej-733	50	2	subsequent	subsequent	ADJ
alkej-733	50	3	part	part	NOUN
alkej-733	50	4	is	be	AUX
alkej-733	50	5	trained	train	VERB
alkej-733	50	6	on	on	ADP
alkej-733	50	7	test	test	NOUN
alkej-733	50	8	data	datum	NOUN
alkej-733	50	9	that	that	PRON
alkej-733	50	10	comprised	comprise	VERB
alkej-733	50	11	of	of	ADP
alkej-733	50	12	4000	4000	NUM
alkej-733	50	13	pictures	picture	NOUN
alkej-733	50	14	.	.	PUNCT
alkej-733	51	1	as	as	SCONJ
alkej-733	51	2	will	will	AUX
alkej-733	51	3	be	be	AUX
alkej-733	51	4	demonstrated	demonstrate	VERB
alkej-733	51	5	later	later	ADV
alkej-733	51	6	,	,	PUNCT
alkej-733	51	7	a	a	DET
alkej-733	51	8	high	high	ADJ
alkej-733	51	9	accuracy	accuracy	NOUN
alkej-733	51	10	system	system	NOUN
alkej-733	51	11	can	can	AUX
alkej-733	51	12	be	be	AUX
alkej-733	51	13	established	establish	VERB
alkej-733	51	14	at	at	ADP
alkej-733	51	15	low	low	ADJ
alkej-733	51	16	expenses	expense	NOUN
alkej-733	51	17	and	and	CCONJ
alkej-733	51	18	with	with	ADP
alkej-733	51	19	no	no	DET
alkej-733	51	20	preprocessing	preprocessing	NOUN
alkej-733	51	21	methods	method	NOUN
alkej-733	51	22	for	for	ADP
alkej-733	51	23	the	the	DET
alkej-733	51	24	extraction	extraction	NOUN
alkej-733	51	25	of	of	ADP
alkej-733	51	26	features	feature	NOUN
alkej-733	51	27	.	.	PUNCT
alkej-733	52	1	despite	despite	SCONJ
alkej-733	52	2	the	the	DET
alkej-733	52	3	fact	fact	NOUN
alkej-733	52	4	that	that	SCONJ
alkej-733	52	5	features	feature	VERB
alkej-733	52	6	extraction	extraction	NOUN
alkej-733	52	7	with	with	ADP
alkej-733	52	8	the	the	DET
alkej-733	52	9	empirical	empirical	ADJ
alkej-733	52	10	and	and	CCONJ
alkej-733	52	11	manual	manual	ADJ
alkej-733	52	12	techniques	technique	NOUN
alkej-733	52	13	indicated	indicate	VERB
alkej-733	52	14	success	success	NOUN
alkej-733	52	15	at	at	ADP
alkej-733	52	16	various	various	ADJ
alkej-733	52	17	levels	level	NOUN
alkej-733	52	18	,	,	PUNCT
alkej-733	52	19	evidently	evidently	ADV
alkej-733	52	20	their	their	PRON
alkej-733	52	21	applicability	applicability	NOUN
alkej-733	52	22	depends	depend	VERB
alkej-733	52	23	on	on	ADP
alkej-733	52	24	the	the	DET
alkej-733	52	25	features	feature	NOUN
alkej-733	52	26	that	that	PRON
alkej-733	52	27	are	be	AUX
alkej-733	52	28	extracted	extract	VERB
alkej-733	52	29	from	from	ADP
alkej-733	52	30	the	the	DET
alkej-733	52	31	analysis	analysis	NOUN
alkej-733	52	32	and	and	CCONJ
alkej-733	52	33	may	may	AUX
alkej-733	52	34	not	not	PART
alkej-733	52	35	function	function	VERB
alkej-733	52	36	on	on	ADP
alkej-733	52	37	other	other	ADJ
alkej-733	52	38	systems	system	NOUN
alkej-733	52	39	.	.	PUNCT
alkej-733	53	1	this	this	DET
alkej-733	53	2	method	method	NOUN
alkej-733	53	3	is	be	AUX
alkej-733	53	4	referred	refer	VERB
alkej-733	53	5	to	to	ADP
alkej-733	53	6	as	as	ADP
alkej-733	53	7	a	a	DET
alkej-733	53	8	descriptive	descriptive	ADJ
alkej-733	53	9	analysis	analysis	NOUN
alkej-733	53	10	,	,	PUNCT
alkej-733	53	11	in	in	ADP
alkej-733	53	12	which	which	PRON
alkej-733	53	13	the	the	DET
alkej-733	53	14	analyzer	analyzer	NOUN
alkej-733	53	15	needs	need	VERB
alkej-733	53	16	to	to	PART
alkej-733	53	17	gather	gather	VERB
alkej-733	53	18	process	process	NOUN
alkej-733	53	19	information	information	NOUN
alkej-733	53	20	,	,	PUNCT
alkej-733	53	21	assemble	assemble	VERB
alkej-733	53	22	a	a	DET
alkej-733	53	23	hypotheses	hypothesis	NOUN
alkej-733	53	24	on	on	ADP
alkej-733	53	25	information	information	NOUN
alkej-733	53	26	patterns	pattern	NOUN
alkej-733	53	27	,	,	PUNCT
alkej-733	53	28	and	and	CCONJ
alkej-733	53	29	compare	compare	VERB
alkej-733	53	30	the	the	DET
alkej-733	53	31	results	result	NOUN
alkej-733	53	32	of	of	ADP
alkej-733	53	33	the	the	DET
alkej-733	53	34	descriptive	descriptive	ADJ
alkej-733	53	35	model	model	NOUN
alkej-733	53	36	with	with	ADP
alkej-733	53	37	the	the	DET
alkej-733	53	38	genuine	genuine	ADJ
alkej-733	53	39	results	result	NOUN
alkej-733	53	40	to	to	PART
alkej-733	53	41	verify	verify	VERB
alkej-733	53	42	the	the	DET
alkej-733	53	43	hypotheses	hypothesis	NOUN
alkej-733	53	44	[	[	X
alkej-733	53	45	26	26	NUM
alkej-733	53	46	]	]	PUNCT
alkej-733	53	47	.	.	PUNCT
alkej-733	54	1	however	however	ADV
alkej-733	54	2	,	,	PUNCT
alkej-733	54	3	it	it	PRON
alkej-733	54	4	is	be	AUX
alkej-733	54	5	unsafe	unsafe	ADJ
alkej-733	54	6	to	to	PART
alkej-733	54	7	form	form	VERB
alkej-733	54	8	this	this	DET
alkej-733	54	9	type	type	NOUN
alkej-733	54	10	of	of	ADP
alkej-733	54	11	models	model	NOUN
alkej-733	54	12	,	,	PUNCT
alkej-733	54	13	as	as	SCONJ
alkej-733	54	14	there	there	PRON
alkej-733	54	15	is	be	VERB
alkej-733	54	16	a	a	DET
alkej-733	54	17	risk	risk	NOUN
alkej-733	54	18	of	of	ADP
alkej-733	54	19	not	not	PART
alkej-733	54	20	modeling	model	VERB
alkej-733	54	21	some	some	PRON
alkej-733	54	22	of	of	ADP
alkej-733	54	23	the	the	DET
alkej-733	54	24	variables	variable	NOUN
alkej-733	54	25	that	that	PRON
alkej-733	54	26	scientists	scientist	NOUN
alkej-733	54	27	and	and	CCONJ
alkej-733	54	28	engineers	engineer	NOUN
alkej-733	54	29	do	do	AUX
alkej-733	54	30	not	not	PART
alkej-733	54	31	include	include	VERB
alkej-733	54	32	due	due	ADJ
alkej-733	54	33	to	to	PART
alkej-733	54	34	lack	lack	NOUN
alkej-733	54	35	of	of	ADP
alkej-733	54	36	information	information	NOUN
alkej-733	54	37	or	or	CCONJ
alkej-733	54	38	not	not	PART
alkej-733	54	39	understanding	understand	VERB
alkej-733	54	40	the	the	DET
alkej-733	54	41	problem	problem	NOUN
alkej-733	54	42	[	[	X
alkej-733	54	43	27	27	NUM
alkej-733	54	44	]	]	PUNCT
alkej-733	54	45	.	.	PUNCT
alkej-733	55	1	on	on	ADP
alkej-733	55	2	the	the	DET
alkej-733	55	3	other	other	ADJ
alkej-733	55	4	hand	hand	NOUN
alkej-733	55	5	,	,	PUNCT
alkej-733	55	6	predictive	predictive	ADJ
alkej-733	55	7	analysis	analysis	NOUN
alkej-733	55	8	,	,	PUNCT
alkej-733	55	9	finds	find	VERB
alkej-733	55	10	the	the	DET
alkej-733	55	11	rules	rule	NOUN
alkej-733	55	12	that	that	PRON
alkej-733	55	13	underlie	underlie	VERB
alkej-733	55	14	a	a	DET
alkej-733	55	15	phenomenon	phenomenon	NOUN
alkej-733	55	16	and	and	CCONJ
alkej-733	55	17	establishes	establish	VERB
alkej-733	55	18	a	a	DET
alkej-733	55	19	predictive	predictive	ADJ
alkej-733	55	20	model	model	NOUN
alkej-733	55	21	that	that	PRON
alkej-733	55	22	limits	limit	VERB
alkej-733	55	23	errors	error	NOUN
alkej-733	55	24	between	between	ADP
alkej-733	55	25	the	the	DET
alkej-733	55	26	desired	desire	VERB
alkej-733	55	27	and	and	CCONJ
alkej-733	55	28	the	the	DET
alkej-733	55	29	predicted	predict	VERB
alkej-733	55	30	results	result	NOUN
alkej-733	55	31	,	,	PUNCT
alkej-733	55	32	with	with	ADP
alkej-733	55	33	all	all	DET
alkej-733	55	34	the	the	DET
alkej-733	55	35	involved	involved	ADJ
alkej-733	55	36	factors	factor	NOUN
alkej-733	55	37	taking	take	VERB
alkej-733	55	38	into	into	ADP
alkej-733	55	39	consideration	consideration	NOUN
alkej-733	55	40	[	[	X
alkej-733	55	41	26	26	NUM
alkej-733	55	42	]	]	PUNCT
alkej-733	55	43	.	.	PUNCT
alkej-733	56	1	in	in	ADP
alkej-733	56	2	contrast	contrast	NOUN
alkej-733	56	3	with	with	ADP
alkej-733	56	4	conventional	conventional	ADJ
alkej-733	56	5	cv	cv	PROPN
alkej-733	56	6	techniques	technique	NOUN
alkej-733	56	7	,	,	PUNCT
alkej-733	56	8	predictive	predictive	ADJ
alkej-733	56	9	analysis	analysis	NOUN
alkej-733	56	10	is	be	AUX
alkej-733	56	11	used	use	VERB
alkej-733	56	12	by	by	ADP
alkej-733	56	13	dl	dl	PROPN
alkej-733	56	14	to	to	PART
alkej-733	56	15	solve	solve	VERB
alkej-733	56	16	issues	issue	NOUN
alkej-733	56	17	,	,	PUNCT
alkej-733	56	18	which	which	PRON
alkej-733	56	19	grant	grant	VERB
alkej-733	56	20	dl	dl	ADP
alkej-733	56	21	the	the	DET
alkej-733	56	22	advantage	advantage	NOUN
alkej-733	56	23	of	of	ADP
alkej-733	56	24	reaching	reach	VERB
alkej-733	56	25	high	high	ADJ
alkej-733	56	26	accuracies	accuracy	NOUN
alkej-733	56	27	with	with	ADP
alkej-733	56	28	cv	cv	PROPN
alkej-733	56	29	applications	application	NOUN
alkej-733	56	30	such	such	ADJ
alkej-733	56	31	as	as	ADP
alkej-733	56	32	image	image	NOUN
alkej-733	56	33	classification	classification	NOUN
alkej-733	56	34	,	,	PUNCT
alkej-733	56	35	semantic	semantic	ADJ
alkej-733	56	36	segmentation	segmentation	NOUN
alkej-733	56	37	and	and	CCONJ
alkej-733	56	38	object	object	VERB
alkej-733	56	39	detection	detection	NOUN
alkej-733	56	40	.	.	PUNCT
alkej-733	57	1	since	since	SCONJ
alkej-733	57	2	dl	dl	PROPN
alkej-733	57	3	relies	rely	VERB
alkej-733	57	4	upon	upon	SCONJ
alkej-733	57	5	dnns	dnn	NOUN
alkej-733	57	6	that	that	PRON
alkej-733	57	7	are	be	AUX
alkej-733	57	8	trained	train	VERB
alkej-733	57	9	rather	rather	ADV
alkej-733	57	10	than	than	ADP
alkej-733	57	11	ahmed	ahmed	PROPN
alkej-733	57	12	najah	najah	PROPN
alkej-733	57	13	al	al	PROPN
alkej-733	57	14	-	-	PUNCT
alkej-733	57	15	khwarizmi	khwarizmi	PROPN
alkej-733	57	16	engineering	engineering	NOUN
alkej-733	57	17	journal	journal	PROPN
alkej-733	57	18	,	,	PUNCT
alkej-733	57	19	vol	vol	NOUN
alkej-733	57	20	.	.	PROPN
alkej-733	57	21	17	17	NUM
alkej-733	57	22	,	,	PUNCT
alkej-733	57	23	no	no	INTJ
alkej-733	57	24	.	.	NOUN
alkej-733	57	25	1	1	NUM
alkej-733	57	26	,	,	PUNCT
alkej-733	57	27	p.p	p.p	PROPN
alkej-733	57	28	.	.	PROPN
alkej-733	57	29	1118	1118	NUM
alkej-733	57	30	(	(	PUNCT
alkej-733	57	31	2021	2021	NUM
alkej-733	57	32	)	)	PUNCT
alkej-733	57	33	3	3	NUM
alkej-733	57	34	programmed	program	VERB
alkej-733	57	35	,	,	PUNCT
alkej-733	57	36	applications	application	NOUN
alkej-733	57	37	that	that	PRON
alkej-733	57	38	depend	depend	VERB
alkej-733	57	39	on	on	ADP
alkej-733	57	40	this	this	DET
alkej-733	57	41	strategy	strategy	NOUN
alkej-733	57	42	involves	involve	VERB
alkej-733	57	43	basic	basic	ADJ
alkej-733	57	44	analysis	analysis	NOUN
alkej-733	57	45	,	,	PUNCT
alkej-733	57	46	calibrating	calibrate	VERB
alkej-733	57	47	and	and	CCONJ
alkej-733	57	48	exploit	exploit	VERB
alkej-733	57	49	the	the	DET
alkej-733	57	50	huge	huge	ADJ
alkej-733	57	51	amount	amount	NOUN
alkej-733	57	52	of	of	ADP
alkej-733	57	53	information	information	NOUN
alkej-733	57	54	that	that	PRON
alkej-733	57	55	is	be	AUX
alkej-733	57	56	accessible	accessible	ADJ
alkej-733	57	57	today	today	NOUN
alkej-733	57	58	within	within	ADP
alkej-733	57	59	every	every	DET
alkej-733	57	60	system	system	NOUN
alkej-733	57	61	.	.	PUNCT
alkej-733	58	1	moreover	moreover	ADV
alkej-733	58	2	,	,	PUNCT
alkej-733	58	3	dl	dl	PROPN
alkej-733	58	4	is	be	AUX
alkej-733	58	5	viewed	view	VERB
alkej-733	58	6	as	as	ADP
alkej-733	58	7	a	a	DET
alkej-733	58	8	truly	truly	ADV
alkej-733	58	9	adaptable	adaptable	ADJ
alkej-733	58	10	technique	technique	NOUN
alkej-733	58	11	as	as	SCONJ
alkej-733	58	12	cnns	cnns	ADJ
alkej-733	58	13	structures	structure	NOUN
alkej-733	58	14	can	can	AUX
alkej-733	58	15	be	be	AUX
alkej-733	58	16	re	re	VERB
alkej-733	58	17	-	-	VERB
alkej-733	58	18	employed	employ	VERB
alkej-733	58	19	for	for	ADP
alkej-733	58	20	custom	custom	NOUN
alkej-733	58	21	data	datum	NOUN
alkej-733	58	22	with	with	ADP
alkej-733	58	23	various	various	ADJ
alkej-733	58	24	applications	application	NOUN
alkej-733	58	25	by	by	ADP
alkej-733	58	26	training	train	VERB
alkej-733	58	27	them	they	PRON
alkej-733	58	28	again	again	ADV
alkej-733	58	29	,	,	PUNCT
alkej-733	58	30	unlike	unlike	ADP
alkej-733	58	31	conventional	conventional	ADJ
alkej-733	58	32	algorithms	algorithm	NOUN
alkej-733	58	33	which	which	PRON
alkej-733	58	34	are	be	AUX
alkej-733	58	35	generally	generally	ADV
alkej-733	58	36	intended	intend	VERB
alkej-733	58	37	for	for	ADP
alkej-733	58	38	a	a	DET
alkej-733	58	39	particular	particular	ADJ
alkej-733	58	40	domain	domain	NOUN
alkej-733	58	41	[	[	X
alkej-733	58	42	28	28	NUM
alkej-733	58	43	]	]	PUNCT
alkej-733	58	44	.	.	PUNCT
alkej-733	59	1	the	the	DET
alkej-733	59	2	remainder	remainder	NOUN
alkej-733	59	3	of	of	ADP
alkej-733	59	4	this	this	DET
alkej-733	59	5	paper	paper	NOUN
alkej-733	59	6	is	be	AUX
alkej-733	59	7	organized	organize	VERB
alkej-733	59	8	in	in	ADP
alkej-733	59	9	the	the	DET
alkej-733	59	10	following	follow	VERB
alkej-733	59	11	matter	matter	NOUN
alkej-733	59	12	,	,	PUNCT
alkej-733	59	13	in	in	ADP
alkej-733	59	14	section	section	NOUN
alkej-733	59	15	two	two	NUM
alkej-733	59	16	,	,	PUNCT
alkej-733	59	17	cnns	cnn	NOUN
alkej-733	59	18	are	be	AUX
alkej-733	59	19	briefly	briefly	ADV
alkej-733	59	20	introduced	introduce	VERB
alkej-733	59	21	,	,	PUNCT
alkej-733	59	22	transfer	transfer	NOUN
alkej-733	59	23	learning	learning	NOUN
alkej-733	59	24	and	and	CCONJ
alkej-733	59	25	the	the	DET
alkej-733	59	26	proposed	propose	VERB
alkej-733	59	27	architecture	architecture	NOUN
alkej-733	59	28	,	,	PUNCT
alkej-733	59	29	in	in	ADP
alkej-733	59	30	section	section	NOUN
alkej-733	59	31	three	three	NUM
alkej-733	59	32	experimental	experimental	ADJ
alkej-733	59	33	work	work	NOUN
alkej-733	59	34	with	with	ADP
alkej-733	59	35	training	training	NOUN
alkej-733	59	36	and	and	CCONJ
alkej-733	59	37	evaluation	evaluation	NOUN
alkej-733	59	38	are	be	AUX
alkej-733	59	39	explored	explore	VERB
alkej-733	59	40	,	,	PUNCT
alkej-733	60	1	results	result	NOUN
alkej-733	60	2	and	and	CCONJ
alkej-733	60	3	discussion	discussion	NOUN
alkej-733	60	4	are	be	AUX
alkej-733	60	5	elaborated	elaborate	VERB
alkej-733	60	6	in	in	ADP
alkej-733	60	7	section	section	NOUN
alkej-733	60	8	four	four	NUM
alkej-733	60	9	,	,	PUNCT
alkej-733	60	10	and	and	CCONJ
alkej-733	60	11	finishing	finish	VERB
alkej-733	60	12	with	with	ADP
alkej-733	60	13	sections	section	NOUN
alkej-733	60	14	five	five	NUM
alkej-733	60	15	and	and	CCONJ
alkej-733	60	16	six	six	NUM
alkej-733	60	17	by	by	ADP
alkej-733	60	18	including	include	VERB
alkej-733	60	19	the	the	DET
alkej-733	60	20	conclusions	conclusion	NOUN
alkej-733	60	21	and	and	CCONJ
alkej-733	60	22	the	the	DET
alkej-733	60	23	used	use	VERB
alkej-733	60	24	references	reference	NOUN
alkej-733	60	25	respectively	respectively	ADV
alkej-733	60	26	.	.	PUNCT
alkej-733	61	1	2	2	X
alkej-733	61	2	.	.	X
alkej-733	61	3	convolutional	convolutional	ADJ
alkej-733	61	4	neural	neural	ADJ
alkej-733	61	5	networks	network	NOUN
alkej-733	61	6	a	a	DET
alkej-733	61	7	convolutional	convolutional	ADJ
alkej-733	61	8	neural	neural	ADJ
alkej-733	61	9	network	network	NOUN
alkej-733	61	10	(	(	PUNCT
alkej-733	61	11	or	or	CCONJ
alkej-733	61	12	cnn	cnn	PROPN
alkej-733	61	13	)	)	PUNCT
alkej-733	61	14	is	be	AUX
alkej-733	61	15	one	one	NUM
alkej-733	61	16	of	of	ADP
alkej-733	61	17	the	the	DET
alkej-733	61	18	dl	dl	PROPN
alkej-733	61	19	algorithms	algorithm	NOUN
alkej-733	61	20	that	that	PRON
alkej-733	61	21	is	be	AUX
alkej-733	61	22	similar	similar	ADJ
alkej-733	61	23	to	to	ADP
alkej-733	61	24	the	the	DET
alkej-733	61	25	neurons	neuron	NOUN
alkej-733	61	26	connections	connection	NOUN
alkej-733	61	27	in	in	ADP
alkej-733	61	28	the	the	DET
alkej-733	61	29	visual	visual	ADJ
alkej-733	61	30	cortex	cortex	NOUN
alkej-733	61	31	of	of	ADP
alkej-733	61	32	the	the	DET
alkej-733	61	33	animals	animal	NOUN
alkej-733	61	34	[	[	X
alkej-733	61	35	29	29	NUM
alkej-733	61	36	]	]	PUNCT
alkej-733	61	37	.	.	PUNCT
alkej-733	62	1	the	the	DET
alkej-733	62	2	cnns	cnn	NOUN
alkej-733	62	3	are	be	AUX
alkej-733	62	4	considered	consider	VERB
alkej-733	62	5	as	as	ADP
alkej-733	62	6	a	a	DET
alkej-733	62	7	form	form	NOUN
alkej-733	62	8	of	of	ADP
alkej-733	62	9	dnns	dnn	NOUN
alkej-733	62	10	,	,	PUNCT
alkej-733	62	11	because	because	SCONJ
alkej-733	62	12	they	they	PRON
alkej-733	62	13	are	be	AUX
alkej-733	62	14	consist	consist	ADJ
alkej-733	62	15	of	of	ADP
alkej-733	62	16	many	many	ADJ
alkej-733	62	17	layers	layer	NOUN
alkej-733	62	18	,	,	PUNCT
alkej-733	62	19	as	as	SCONJ
alkej-733	62	20	appeared	appear	VERB
alkej-733	62	21	in	in	ADP
alkej-733	62	22	fig	fig	NOUN
alkej-733	62	23	.	.	PUNCT
alkej-733	63	1	1	1	X
alkej-733	63	2	.	.	X
alkej-733	63	3	cnns	cnns	PROPN
alkej-733	63	4	utilize	utilize	VERB
alkej-733	63	5	a	a	DET
alkej-733	63	6	linear	linear	ADJ
alkej-733	63	7	operation	operation	NOUN
alkej-733	63	8	called	call	VERB
alkej-733	63	9	convolution	convolution	NOUN
alkej-733	63	10	rather	rather	ADV
alkej-733	63	11	than	than	ADP
alkej-733	63	12	general	general	ADJ
alkej-733	63	13	multiplication	multiplication	NOUN
alkej-733	63	14	of	of	ADP
alkej-733	63	15	matrices	matrix	NOUN
alkej-733	63	16	,	,	PUNCT
alkej-733	63	17	which	which	PRON
alkej-733	63	18	is	be	AUX
alkej-733	63	19	used	use	VERB
alkej-733	63	20	by	by	ADP
alkej-733	63	21	standard	standard	ADJ
alkej-733	63	22	anns	ann	NOUN
alkej-733	63	23	[	[	X
alkej-733	63	24	30	30	NUM
alkej-733	63	25	]	]	PUNCT
alkej-733	63	26	.	.	PUNCT
alkej-733	64	1	they	they	PRON
alkej-733	64	2	are	be	AUX
alkej-733	64	3	referred	refer	VERB
alkej-733	64	4	to	to	ADP
alkej-733	64	5	as	as	ADP
alkej-733	64	6	the	the	DET
alkej-733	64	7	most	most	ADV
alkej-733	64	8	accurate	accurate	ADJ
alkej-733	64	9	object	object	NOUN
alkej-733	64	10	detection	detection	NOUN
alkej-733	64	11	/	/	SYM
alkej-733	64	12	recognition	recognition	NOUN
alkej-733	64	13	algorithm	algorithm	NOUN
alkej-733	64	14	,	,	PUNCT
alkej-733	64	15	and	and	CCONJ
alkej-733	64	16	like	like	ADP
alkej-733	64	17	different	different	ADJ
alkej-733	64	18	dnns	dnn	NOUN
alkej-733	64	19	,	,	PUNCT
alkej-733	64	20	they	they	PRON
alkej-733	64	21	rely	rely	VERB
alkej-733	64	22	upon	upon	SCONJ
alkej-733	64	23	substantial	substantial	ADJ
alkej-733	64	24	amounts	amount	NOUN
alkej-733	64	25	of	of	ADP
alkej-733	64	26	data	datum	NOUN
alkej-733	64	27	to	to	PART
alkej-733	64	28	be	be	AUX
alkej-733	64	29	trained	train	VERB
alkej-733	64	30	and	and	CCONJ
alkej-733	64	31	give	give	VERB
alkej-733	64	32	accurate	accurate	ADJ
alkej-733	64	33	results	result	NOUN
alkej-733	64	34	.	.	PUNCT
alkej-733	65	1	this	this	DET
alkej-733	65	2	algorithm	algorithm	NOUN
alkej-733	65	3	learns	learn	VERB
alkej-733	65	4	every	every	DET
alkej-733	65	5	filter	filter	NOUN
alkej-733	65	6	and	and	CCONJ
alkej-733	65	7	extract	extract	NOUN
alkej-733	65	8	features	feature	VERB
alkej-733	65	9	automatically	automatically	ADV
alkej-733	65	10	in	in	ADP
alkej-733	65	11	contrast	contrast	NOUN
alkej-733	65	12	to	to	ADP
alkej-733	65	13	other	other	ADJ
alkej-733	65	14	manual	manual	ADJ
alkej-733	65	15	algorithms	algorithm	NOUN
alkej-733	65	16	.	.	PUNCT
alkej-733	66	1	as	as	SCONJ
alkej-733	66	2	appeared	appear	VERB
alkej-733	66	3	in	in	ADP
alkej-733	66	4	fig	fig	NOUN
alkej-733	66	5	.	.	PUNCT
alkej-733	67	1	1	1	NUM
alkej-733	67	2	,	,	PUNCT
alkej-733	67	3	a	a	DET
alkej-733	67	4	typical	typical	ADJ
alkej-733	67	5	architecture	architecture	NOUN
alkej-733	67	6	for	for	ADP
alkej-733	67	7	a	a	DET
alkej-733	67	8	cnn	cnn	PROPN
alkej-733	67	9	comprises	comprise	NOUN
alkej-733	67	10	of	of	ADP
alkej-733	67	11	convolutional	convolutional	ADJ
alkej-733	67	12	layers	layer	NOUN
alkej-733	67	13	,	,	PUNCT
alkej-733	67	14	an	an	DET
alkej-733	67	15	activation	activation	NOUN
alkej-733	67	16	function	function	NOUN
alkej-733	67	17	(	(	PUNCT
alkej-733	67	18	for	for	ADP
alkej-733	67	19	example	example	NOUN
alkej-733	67	20	relu	relu	NOUN
alkej-733	67	21	)	)	PUNCT
alkej-733	67	22	,	,	PUNCT
alkej-733	67	23	a	a	DET
alkej-733	67	24	pooling	pool	VERB
alkej-733	67	25	layer	layer	NOUN
alkej-733	67	26	(	(	PUNCT
alkej-733	67	27	for	for	ADP
alkej-733	67	28	example	example	NOUN
alkej-733	67	29	max	max	PROPN
alkej-733	67	30	pooling	pooling	PROPN
alkej-733	67	31	)	)	PUNCT
alkej-733	67	32	,	,	PUNCT
alkej-733	67	33	and	and	CCONJ
alkej-733	67	34	a	a	DET
alkej-733	67	35	flattened	flatten	VERB
alkej-733	67	36	layer	layer	NOUN
alkej-733	67	37	.	.	PUNCT
alkej-733	68	1	a	a	DET
alkej-733	68	2	single	single	ADJ
alkej-733	68	3	vector	vector	NOUN
alkej-733	68	4	is	be	AUX
alkej-733	68	5	produced	produce	VERB
alkej-733	68	6	by	by	ADP
alkej-733	68	7	flattening	flatten	VERB
alkej-733	68	8	the	the	DET
alkej-733	68	9	pooled	pool	VERB
alkej-733	68	10	images	image	NOUN
alkej-733	68	11	,	,	PUNCT
alkej-733	68	12	the	the	DET
alkej-733	68	13	vector	vector	NOUN
alkej-733	68	14	is	be	AUX
alkej-733	68	15	then	then	ADV
alkej-733	68	16	used	use	VERB
alkej-733	68	17	as	as	ADP
alkej-733	68	18	an	an	DET
alkej-733	68	19	input	input	NOUN
alkej-733	68	20	for	for	ADP
alkej-733	68	21	a	a	DET
alkej-733	68	22	fully	fully	ADV
alkej-733	68	23	connected	connect	VERB
alkej-733	68	24	ann	ann	PROPN
alkej-733	68	25	for	for	ADP
alkej-733	68	26	the	the	DET
alkej-733	68	27	processing	processing	NOUN
alkej-733	68	28	of	of	ADP
alkej-733	68	29	the	the	DET
alkej-733	68	30	features	feature	NOUN
alkej-733	68	31	.	.	PUNCT
alkej-733	69	1	after	after	ADP
alkej-733	69	2	training	train	VERB
alkej-733	69	3	through	through	ADP
alkej-733	69	4	forward	forward	ADJ
alkej-733	69	5	propagation	propagation	NOUN
alkej-733	69	6	and	and	CCONJ
alkej-733	69	7	backpropagation	backpropagation	NOUN
alkej-733	69	8	with	with	ADP
alkej-733	69	9	a	a	DET
alkej-733	69	10	number	number	NOUN
alkej-733	69	11	of	of	ADP
alkej-733	69	12	epochs	epoch	NOUN
alkej-733	69	13	,	,	PUNCT
alkej-733	69	14	the	the	DET
alkej-733	69	15	last	last	ADJ
alkej-733	69	16	network	network	NOUN
alkej-733	69	17	will	will	AUX
alkej-733	69	18	be	be	AUX
alkej-733	69	19	prepared	prepare	VERB
alkej-733	69	20	to	to	PART
alkej-733	69	21	give	give	VERB
alkej-733	69	22	the	the	DET
alkej-733	69	23	decision	decision	NOUN
alkej-733	69	24	on	on	ADP
alkej-733	69	25	the	the	DET
alkej-733	69	26	image	image	NOUN
alkej-733	69	27	class	class	NOUN
alkej-733	69	28	that	that	PRON
alkej-733	69	29	is	be	AUX
alkej-733	69	30	intended	intend	VERB
alkej-733	69	31	to	to	PART
alkej-733	69	32	search	search	VERB
alkej-733	69	33	for	for	ADP
alkej-733	69	34	.	.	PUNCT
alkej-733	70	1	fig	fig	NOUN
alkej-733	70	2	.	.	PUNCT
alkej-733	71	1	1	1	X
alkej-733	71	2	.	.	X
alkej-733	71	3	typical	typical	ADJ
alkej-733	71	4	cnn	cnn	PROPN
alkej-733	71	5	architecture	architecture	NOUN
alkej-733	71	6	.	.	PUNCT
alkej-733	72	1	convolutional	convolutional	ADJ
alkej-733	72	2	layer	layer	NOUN
alkej-733	72	3	:	:	PUNCT
alkej-733	72	4	in	in	ADP
alkej-733	72	5	mathematics	mathematic	NOUN
alkej-733	72	6	,	,	PUNCT
alkej-733	72	7	convolution	convolution	NOUN
alkej-733	72	8	is	be	AUX
alkej-733	72	9	an	an	DET
alkej-733	72	10	operation	operation	NOUN
alkej-733	72	11	that	that	PRON
alkej-733	72	12	describes	describe	VERB
alkej-733	72	13	the	the	DET
alkej-733	72	14	mixing	mixing	NOUN
alkej-733	72	15	of	of	ADP
alkej-733	72	16	two	two	NUM
alkej-733	72	17	information	information	NOUN
alkej-733	72	18	sources	source	NOUN
alkej-733	72	19	.	.	PUNCT
alkej-733	73	1	when	when	SCONJ
alkej-733	73	2	images	image	NOUN
alkej-733	73	3	are	be	AUX
alkej-733	73	4	being	be	AUX
alkej-733	73	5	convolved	convolve	VERB
alkej-733	73	6	,	,	PUNCT
alkej-733	73	7	the	the	DET
alkej-733	73	8	two	two	NUM
alkej-733	73	9	information	information	NOUN
alkej-733	73	10	sources	source	NOUN
alkej-733	73	11	are	be	AUX
alkej-733	73	12	the	the	DET
alkej-733	73	13	convolution	convolution	NOUN
alkej-733	73	14	filter	filter	NOUN
alkej-733	73	15	(	(	PUNCT
alkej-733	73	16	kernel	kernel	PROPN
alkej-733	73	17	)	)	PUNCT
alkej-733	73	18	that	that	PRON
alkej-733	73	19	is	be	AUX
alkej-733	73	20	a	a	DET
alkej-733	73	21	matrix	matrix	NOUN
alkej-733	73	22	of	of	ADP
alkej-733	73	23	(	(	PUNCT
alkej-733	73	24	e.g.	e.g.	ADV
alkej-733	73	25	5	5	NUM
alkej-733	73	26	×	×	NOUN
alkej-733	73	27	5	5	NUM
alkej-733	73	28	or	or	CCONJ
alkej-733	73	29	3	3	NUM
alkej-733	73	30	×	×	NOUN
alkej-733	73	31	3	3	NUM
alkej-733	73	32	)	)	PUNCT
alkej-733	73	33	used	use	VERB
alkej-733	73	34	for	for	ADP
alkej-733	73	35	edge	edge	NOUN
alkej-733	73	36	detection	detection	NOUN
alkej-733	73	37	,	,	PUNCT
alkej-733	73	38	sharpening	sharpen	VERB
alkej-733	73	39	or	or	CCONJ
alkej-733	73	40	any	any	DET
alkej-733	73	41	other	other	ADJ
alkej-733	73	42	image	image	NOUN
alkej-733	73	43	processing	processing	NOUN
alkej-733	73	44	algorithm	algorithm	NOUN
alkej-733	73	45	,	,	PUNCT
alkej-733	73	46	and	and	CCONJ
alkej-733	73	47	the	the	DET
alkej-733	73	48	image	image	NOUN
alkej-733	73	49	pixels	pixel	NOUN
alkej-733	73	50	matrices	matrix	NOUN
alkej-733	73	51	,	,	PUNCT
alkej-733	73	52	in	in	ADP
alkej-733	73	53	which	which	PRON
alkej-733	73	54	there	there	PRON
alkej-733	73	55	are	be	VERB
alkej-733	73	56	three	three	NUM
alkej-733	73	57	that	that	PRON
alkej-733	73	58	represent	represent	VERB
alkej-733	73	59	each	each	DET
alkej-733	73	60	color	color	NOUN
alkej-733	73	61	channel	channel	NOUN
alkej-733	73	62	(	(	PUNCT
alkej-733	73	63	rgb	rgb	PROPN
alkej-733	73	64	channels	channel	NOUN
alkej-733	73	65	)	)	PUNCT
alkej-733	73	66	or	or	CCONJ
alkej-733	73	67	one	one	NUM
alkej-733	73	68	if	if	SCONJ
alkej-733	73	69	it	it	PRON
alkej-733	73	70	is	be	AUX
alkej-733	73	71	a	a	DET
alkej-733	73	72	grayscale	grayscale	NOUN
alkej-733	73	73	image	image	NOUN
alkej-733	73	74	.	.	PUNCT
alkej-733	74	1	the	the	DET
alkej-733	74	2	two	two	NUM
alkej-733	74	3	sources	source	NOUN
alkej-733	74	4	convolve	convolve	VERB
alkej-733	74	5	into	into	ADP
alkej-733	74	6	a	a	DET
alkej-733	74	7	map	map	NOUN
alkej-733	74	8	of	of	ADP
alkej-733	74	9	features	feature	NOUN
alkej-733	74	10	after	after	ADP
alkej-733	74	11	applying	apply	VERB
alkej-733	74	12	a	a	DET
alkej-733	74	13	dot	dot	NOUN
alkej-733	74	14	product	product	NOUN
alkej-733	74	15	between	between	ADP
alkej-733	74	16	them	they	PRON
alkej-733	74	17	,	,	PUNCT
alkej-733	74	18	as	as	SCONJ
alkej-733	74	19	illustrated	illustrate	VERB
alkej-733	74	20	in	in	ADP
alkej-733	74	21	fig	fig	NOUN
alkej-733	74	22	.	.	PUNCT
alkej-733	75	1	2	2	X
alkej-733	75	2	.	.	PUNCT
alkej-733	75	3	ahmed	ahmed	PROPN
alkej-733	75	4	najah	najah	PROPN
alkej-733	75	5	al	al	PROPN
alkej-733	75	6	-	-	PUNCT
alkej-733	75	7	khwarizmi	khwarizmi	PROPN
alkej-733	75	8	engineering	engineering	NOUN
alkej-733	75	9	journal	journal	PROPN
alkej-733	75	10	,	,	PUNCT
alkej-733	75	11	vol	vol	NOUN
alkej-733	75	12	.	.	PROPN
alkej-733	75	13	17	17	NUM
alkej-733	75	14	,	,	PUNCT
alkej-733	75	15	no	no	INTJ
alkej-733	75	16	.	.	NOUN
alkej-733	75	17	1	1	NUM
alkej-733	75	18	,	,	PUNCT
alkej-733	75	19	p.p	p.p	PROPN
alkej-733	75	20	.	.	PROPN
alkej-733	75	21	1118	1118	NUM
alkej-733	75	22	(	(	PUNCT
alkej-733	75	23	2021	2021	NUM
alkej-733	75	24	)	)	PUNCT
alkej-733	75	25	4	4	NUM
alkej-733	75	26	fig	fig	NOUN
alkej-733	75	27	.	.	PUNCT
alkej-733	76	1	2	2	X
alkej-733	76	2	.	.	X
alkej-733	76	3	convolution	convolution	NOUN
alkej-733	76	4	operation	operation	NOUN
alkej-733	76	5	.	.	PUNCT
alkej-733	77	1	a	a	DET
alkej-733	77	2	feature	feature	NOUN
alkej-733	77	3	map	map	NOUN
alkej-733	77	4	is	be	AUX
alkej-733	77	5	the	the	DET
alkej-733	77	6	result	result	NOUN
alkej-733	77	7	of	of	ADP
alkej-733	77	8	the	the	DET
alkej-733	77	9	values	value	NOUN
alkej-733	77	10	that	that	PRON
alkej-733	77	11	are	be	AUX
alkej-733	77	12	convolved	convolve	VERB
alkej-733	77	13	,	,	PUNCT
alkej-733	77	14	which	which	PRON
alkej-733	77	15	highlights	highlight	VERB
alkej-733	77	16	an	an	DET
alkej-733	77	17	image	image	NOUN
alkej-733	77	18	feature	feature	NOUN
alkej-733	77	19	,	,	PUNCT
alkej-733	77	20	additionally	additionally	ADV
alkej-733	77	21	multiple	multiple	ADJ
alkej-733	77	22	feature	feature	NOUN
alkej-733	77	23	maps	map	NOUN
alkej-733	77	24	can	can	AUX
alkej-733	77	25	be	be	AUX
alkej-733	77	26	possessed	possess	VERB
alkej-733	77	27	by	by	ADP
alkej-733	77	28	a	a	DET
alkej-733	77	29	convolutional	convolutional	ADJ
alkej-733	77	30	layer	layer	NOUN
alkej-733	77	31	that	that	PRON
alkej-733	77	32	highlight	highlight	VERB
alkej-733	77	33	more	more	ADJ
alkej-733	77	34	than	than	ADP
alkej-733	77	35	one	one	NUM
alkej-733	77	36	feature	feature	NOUN
alkej-733	77	37	.	.	PUNCT
alkej-733	78	1	a	a	DET
alkej-733	78	2	neuron	neuron	NOUN
alkej-733	78	3	's	's	PART
alkej-733	78	4	filter	filter	NOUN
alkej-733	78	5	window	window	NOUN
alkej-733	78	6	(	(	PUNCT
alkej-733	78	7	receptive	receptive	ADJ
alkej-733	78	8	field	field	NOUN
alkej-733	78	9	)	)	PUNCT
alkej-733	78	10	moves	move	VERB
alkej-733	78	11	over	over	ADP
alkej-733	78	12	the	the	DET
alkej-733	78	13	image	image	NOUN
alkej-733	78	14	,	,	PUNCT
alkej-733	78	15	contingent	contingent	ADJ
alkej-733	78	16	upon	upon	SCONJ
alkej-733	78	17	the	the	DET
alkej-733	78	18	size	size	NOUN
alkej-733	78	19	of	of	ADP
alkej-733	78	20	the	the	DET
alkej-733	78	21	stride	stride	NOUN
alkej-733	78	22	.	.	PUNCT
alkej-733	79	1	relu	relu	NOUN
alkej-733	79	2	:	:	PUNCT
alkej-733	79	3	images	image	NOUN
alkej-733	79	4	possesses	possess	VERB
alkej-733	79	5	high	high	ADJ
alkej-733	79	6	non	non	ADJ
alkej-733	79	7	-	-	NOUN
alkej-733	79	8	linearity	linearity	ADJ
alkej-733	79	9	,	,	PUNCT
alkej-733	79	10	and	and	CCONJ
alkej-733	79	11	the	the	DET
alkej-733	79	12	used	use	VERB
alkej-733	79	13	network	network	NOUN
alkej-733	79	14	needs	need	VERB
alkej-733	79	15	to	to	PART
alkej-733	79	16	be	be	AUX
alkej-733	79	17	capable	capable	ADJ
alkej-733	79	18	of	of	ADP
alkej-733	79	19	training	training	NOUN
alkej-733	79	20	on	on	ADP
alkej-733	79	21	that	that	DET
alkej-733	79	22	nature	nature	NOUN
alkej-733	79	23	.	.	PUNCT
alkej-733	80	1	however	however	ADV
alkej-733	80	2	,	,	PUNCT
alkej-733	80	3	when	when	SCONJ
alkej-733	80	4	convolution	convolution	NOUN
alkej-733	80	5	is	be	AUX
alkej-733	80	6	applied	apply	VERB
alkej-733	80	7	,	,	PUNCT
alkej-733	80	8	it	it	PRON
alkej-733	80	9	causes	cause	VERB
alkej-733	80	10	an	an	DET
alkej-733	80	11	expansion	expansion	NOUN
alkej-733	80	12	in	in	ADP
alkej-733	80	13	the	the	DET
alkej-733	80	14	input	input	NOUN
alkej-733	80	15	’s	’s	PART
alkej-733	80	16	linearity	linearity	NOUN
alkej-733	80	17	.	.	PUNCT
alkej-733	81	1	thus	thus	ADV
alkej-733	81	2	,	,	PUNCT
alkej-733	81	3	to	to	PART
alkej-733	81	4	recover	recover	VERB
alkej-733	81	5	the	the	DET
alkej-733	81	6	nonlinearity	nonlinearity	NOUN
alkej-733	81	7	,	,	PUNCT
alkej-733	81	8	an	an	DET
alkej-733	81	9	activation	activation	NOUN
alkej-733	81	10	function	function	NOUN
alkej-733	81	11	must	must	AUX
alkej-733	81	12	be	be	AUX
alkej-733	81	13	used	use	VERB
alkej-733	81	14	to	to	PART
alkej-733	81	15	convert	convert	VERB
alkej-733	81	16	the	the	DET
alkej-733	81	17	values	value	NOUN
alkej-733	81	18	of	of	ADP
alkej-733	81	19	the	the	DET
alkej-733	81	20	input	input	NOUN
alkej-733	81	21	,	,	PUNCT
alkej-733	81	22	as	as	SCONJ
alkej-733	81	23	appeared	appear	VERB
alkej-733	81	24	in	in	ADP
alkej-733	81	25	equation	equation	NOUN
alkej-733	81	26	1	1	NUM
alkej-733	81	27	:	:	PUNCT
alkej-733	81	28	y	y	PROPN
alkej-733	81	29	=	=	PUNCT
alkej-733	81	30	f(∑	f(∑	PROPN
alkej-733	81	31	(	(	PUNCT
alkej-733	81	32	aibi	aibi	NOUN
alkej-733	81	33	)	)	PUNCT
alkej-733	82	1	m	m	VERB
alkej-733	82	2	i=1	i=1	PROPN
alkej-733	83	1	+	+	X
alkej-733	83	2	c	c	X
alkej-733	83	3	)	)	PUNCT
alkej-733	83	4	,	,	PUNCT
alkej-733	83	5	m=	m=	X
alkej-733	83	6	2	2	NUM
alkej-733	83	7	,	,	PUNCT
alkej-733	83	8	3	3	NUM
alkej-733	83	9	,	,	PUNCT
alkej-733	83	10	4	4	NUM
alkej-733	83	11	…	…	PUNCT
alkej-733	83	12	...	...	PUNCT
alkej-733	83	13	(	(	PUNCT
alkej-733	83	14	1	1	X
alkej-733	83	15	)	)	PUNCT
alkej-733	83	16	where	where	SCONJ
alkej-733	83	17	(	(	PUNCT
alkej-733	83	18	f	f	X
alkej-733	83	19	)	)	PUNCT
alkej-733	83	20	is	be	AUX
alkej-733	83	21	an	an	DET
alkej-733	83	22	activation	activation	NOUN
alkej-733	83	23	function	function	NOUN
alkej-733	83	24	and	and	CCONJ
alkej-733	83	25	y	y	PROPN
alkej-733	83	26	is	be	AUX
alkej-733	83	27	the	the	DET
alkej-733	83	28	output	output	NOUN
alkej-733	83	29	of	of	ADP
alkej-733	83	30	the	the	DET
alkej-733	83	31	neuron	neuron	NOUN
alkej-733	83	32	.	.	PUNCT
alkej-733	84	1	the	the	DET
alkej-733	84	2	value	value	NOUN
alkej-733	84	3	of	of	ADP
alkej-733	84	4	the	the	DET
alkej-733	84	5	input	input	NOUN
alkej-733	84	6	in	in	ADP
alkej-733	84	7	this	this	DET
alkej-733	84	8	equation	equation	NOUN
alkej-733	84	9	comprise	comprise	NOUN
alkej-733	84	10	of	of	ADP
alkej-733	84	11	a	a	DET
alkej-733	84	12	single	single	ADJ
alkej-733	84	13	layer	layer	NOUN
alkej-733	84	14	perceptron	perceptron	PROPN
alkej-733	84	15	,	,	PUNCT
alkej-733	84	16	with	with	ADP
alkej-733	84	17	(	(	PUNCT
alkej-733	84	18	ai	ai	AUX
alkej-733	84	19	)	)	PUNCT
alkej-733	84	20	being	be	AUX
alkej-733	84	21	an	an	DET
alkej-733	84	22	input	input	NOUN
alkej-733	84	23	value	value	NOUN
alkej-733	84	24	,	,	PUNCT
alkej-733	84	25	(	(	PUNCT
alkej-733	84	26	bj	bj	NOUN
alkej-733	84	27	)	)	PUNCT
alkej-733	84	28	as	as	ADP
alkej-733	84	29	the	the	DET
alkej-733	84	30	connector	connector	NOUN
alkej-733	84	31	weight	weight	NOUN
alkej-733	84	32	and	and	CCONJ
alkej-733	84	33	c	c	NOUN
alkej-733	84	34	representing	represent	VERB
alkej-733	84	35	the	the	DET
alkej-733	84	36	value	value	NOUN
alkej-733	84	37	of	of	ADP
alkej-733	84	38	the	the	DET
alkej-733	84	39	bias	bias	NOUN
alkej-733	84	40	.	.	PUNCT
alkej-733	85	1	this	this	DET
alkej-733	85	2	function	function	NOUN
alkej-733	85	3	plays	play	VERB
alkej-733	85	4	a	a	DET
alkej-733	85	5	major	major	ADJ
alkej-733	85	6	role	role	NOUN
alkej-733	85	7	as	as	SCONJ
alkej-733	85	8	it	it	PRON
alkej-733	85	9	increases	increase	VERB
alkej-733	85	10	the	the	DET
alkej-733	85	11	non	non	NOUN
alkej-733	85	12	-	-	NOUN
alkej-733	85	13	linearity	linearity	NOUN
alkej-733	85	14	in	in	ADP
alkej-733	85	15	the	the	DET
alkej-733	85	16	network	network	NOUN
alkej-733	85	17	by	by	ADP
alkej-733	85	18	multiplying	multiply	VERB
alkej-733	85	19	it	it	PRON
alkej-733	85	20	with	with	ADP
alkej-733	85	21	the	the	DET
alkej-733	85	22	feature	feature	NOUN
alkej-733	85	23	maps	map	NOUN
alkej-733	85	24	.	.	PUNCT
alkej-733	86	1	this	this	DET
alkej-733	86	2	function	function	NOUN
alkej-733	86	3	was	be	AUX
alkej-733	86	4	utilized	utilize	VERB
alkej-733	86	5	in	in	ADP
alkej-733	86	6	this	this	DET
alkej-733	86	7	research	research	NOUN
alkej-733	86	8	as	as	SCONJ
alkej-733	86	9	it	it	PRON
alkej-733	86	10	is	be	AUX
alkej-733	86	11	capable	capable	ADJ
alkej-733	86	12	of	of	ADP
alkej-733	86	13	training	train	VERB
alkej-733	86	14	the	the	DET
alkej-733	86	15	network	network	NOUN
alkej-733	86	16	at	at	ADP
alkej-733	86	17	a	a	DET
alkej-733	86	18	rate	rate	NOUN
alkej-733	86	19	that	that	PRON
alkej-733	86	20	is	be	AUX
alkej-733	86	21	higher	high	ADJ
alkej-733	86	22	than	than	ADP
alkej-733	86	23	any	any	DET
alkej-733	86	24	activation	activation	NOUN
alkej-733	86	25	function	function	NOUN
alkej-733	86	26	.	.	PUNCT
alkej-733	87	1	with	with	ADP
alkej-733	87	2	relu	relu	NOUN
alkej-733	87	3	function	function	NOUN
alkej-733	87	4	,	,	PUNCT
alkej-733	87	5	the	the	DET
alkej-733	87	6	output	output	NOUN
alkej-733	87	7	value	value	NOUN
alkej-733	87	8	is	be	AUX
alkej-733	87	9	(	(	PUNCT
alkej-733	87	10	z	z	NOUN
alkej-733	87	11	)	)	PUNCT
alkej-733	87	12	if	if	SCONJ
alkej-733	87	13	the	the	DET
alkej-733	87	14	input	input	NOUN
alkej-733	87	15	(	(	PUNCT
alkej-733	87	16	z	z	NOUN
alkej-733	87	17	)	)	PUNCT
alkej-733	87	18	is	be	AUX
alkej-733	87	19	positive	positive	ADJ
alkej-733	87	20	and	and	CCONJ
alkej-733	87	21	0	0	NUM
alkej-733	87	22	if	if	SCONJ
alkej-733	87	23	it	it	PRON
alkej-733	87	24	is	be	AUX
alkej-733	87	25	not	not	PART
alkej-733	87	26	,	,	PUNCT
alkej-733	87	27	as	as	SCONJ
alkej-733	87	28	it	it	PRON
alkej-733	87	29	can	can	AUX
alkej-733	87	30	be	be	AUX
alkej-733	87	31	seen	see	VERB
alkej-733	87	32	in	in	ADP
alkej-733	87	33	equation	equation	NOUN
alkej-733	87	34	2	2	NUM
alkej-733	87	35	:	:	PUNCT
alkej-733	87	36	f(z	f(z	NUM
alkej-733	87	37	)	)	PUNCT
alkej-733	87	38	=	=	SYM
alkej-733	88	1	max⁡(z	max⁡(z	PROPN
alkej-733	88	2	,	,	PUNCT
alkej-733	88	3	0	0	NUM
alkej-733	88	4	)	)	PUNCT
alkej-733	88	5	…	…	PUNCT
alkej-733	88	6	(	(	PUNCT
alkej-733	88	7	2	2	NUM
alkej-733	88	8	)	)	PUNCT
alkej-733	88	9	where	where	SCONJ
alkej-733	88	10	f(z	f(z	NOUN
alkej-733	88	11	)	)	PUNCT
alkej-733	88	12	refers	refer	VERB
alkej-733	88	13	to	to	ADP
alkej-733	88	14	the	the	DET
alkej-733	88	15	output	output	NOUN
alkej-733	88	16	of	of	ADP
alkej-733	88	17	the	the	DET
alkej-733	88	18	activation	activation	NOUN
alkej-733	88	19	function	function	NOUN
alkej-733	88	20	.	.	PUNCT
alkej-733	89	1	pooling	pool	VERB
alkej-733	89	2	:	:	PUNCT
alkej-733	89	3	the	the	DET
alkej-733	89	4	output	output	NOUN
alkej-733	89	5	of	of	ADP
alkej-733	89	6	the	the	DET
alkej-733	89	7	convolutional	convolutional	ADJ
alkej-733	89	8	layer	layer	NOUN
alkej-733	89	9	(	(	PUNCT
alkej-733	89	10	feature	feature	NOUN
alkej-733	89	11	maps	map	NOUN
alkej-733	89	12	)	)	PUNCT
alkej-733	89	13	is	be	AUX
alkej-733	89	14	affected	affect	VERB
alkej-733	89	15	by	by	ADP
alkej-733	89	16	an	an	DET
alkej-733	89	17	operation	operation	NOUN
alkej-733	89	18	called	call	VERB
alkej-733	89	19	pooling	pooling	NOUN
alkej-733	89	20	in	in	ADP
alkej-733	89	21	which	which	PRON
alkej-733	89	22	it	it	PRON
alkej-733	89	23	reduces	reduce	VERB
alkej-733	89	24	its	its	PRON
alkej-733	89	25	dimensionality	dimensionality	NOUN
alkej-733	89	26	by	by	ADP
alkej-733	89	27	decreasing	decrease	VERB
alkej-733	89	28	the	the	DET
alkej-733	89	29	pixels	pixel	NOUN
alkej-733	89	30	count	count	NOUN
alkej-733	89	31	(	(	PUNCT
alkej-733	89	32	as	as	SCONJ
alkej-733	89	33	illustrated	illustrate	VERB
alkej-733	89	34	in	in	ADP
alkej-733	89	35	fig	fig	NOUN
alkej-733	89	36	.	.	PUNCT
alkej-733	90	1	3	3	NUM
alkej-733	90	2	)	)	PUNCT
alkej-733	90	3	.	.	PUNCT
alkej-733	91	1	this	this	DET
alkej-733	91	2	process	process	NOUN
alkej-733	91	3	results	result	VERB
alkej-733	91	4	in	in	ADP
alkej-733	91	5	spatial	spatial	ADJ
alkej-733	91	6	variance	variance	NOUN
alkej-733	91	7	reduction	reduction	NOUN
alkej-733	91	8	as	as	SCONJ
alkej-733	91	9	it	it	PRON
alkej-733	91	10	removes	remove	VERB
alkej-733	91	11	unimportant	unimportant	ADJ
alkej-733	91	12	details	detail	NOUN
alkej-733	91	13	,	,	PUNCT
alkej-733	91	14	and	and	CCONJ
alkej-733	91	15	this	this	PRON
alkej-733	91	16	is	be	AUX
alkej-733	91	17	accomplished	accomplish	VERB
alkej-733	91	18	by	by	ADP
alkej-733	91	19	taking	take	VERB
alkej-733	91	20	the	the	DET
alkej-733	91	21	receptive	receptive	ADJ
alkej-733	91	22	field	field	NOUN
alkej-733	91	23	’s	’s	PART
alkej-733	91	24	maximum	maximum	ADJ
alkej-733	91	25	value	value	NOUN
alkej-733	91	26	in	in	ADP
alkej-733	91	27	case	case	NOUN
alkej-733	91	28	of	of	ADP
alkej-733	91	29	max	max	PROPN
alkej-733	91	30	pooling	pooling	NOUN
alkej-733	91	31	,	,	PUNCT
alkej-733	91	32	or	or	CCONJ
alkej-733	91	33	the	the	DET
alkej-733	91	34	average	average	ADJ
alkej-733	91	35	value	value	NOUN
alkej-733	91	36	in	in	ADP
alkej-733	91	37	case	case	NOUN
alkej-733	91	38	of	of	ADP
alkej-733	91	39	average	average	ADJ
alkej-733	91	40	pooling	pooling	NOUN
alkej-733	91	41	,	,	PUNCT
alkej-733	91	42	in	in	ADP
alkej-733	91	43	which	which	PRON
alkej-733	91	44	both	both	PRON
alkej-733	91	45	of	of	ADP
alkej-733	91	46	those	those	DET
alkej-733	91	47	operations	operation	NOUN
alkej-733	91	48	are	be	AUX
alkej-733	91	49	used	use	VERB
alkej-733	91	50	in	in	ADP
alkej-733	91	51	this	this	DET
alkej-733	91	52	research	research	NOUN
alkej-733	91	53	.	.	PUNCT
alkej-733	92	1	fig	fig	NOUN
alkej-733	92	2	.	.	PUNCT
alkej-733	93	1	3	3	X
alkej-733	93	2	.	.	X
alkej-733	93	3	pooling	pool	VERB
alkej-733	93	4	operation	operation	NOUN
alkej-733	93	5	.	.	PUNCT
alkej-733	94	1	pooling	pool	VERB
alkej-733	94	2	(	(	PUNCT
alkej-733	94	3	equation	equation	NOUN
alkej-733	94	4	3	3	NUM
alkej-733	94	5	)	)	PUNCT
alkej-733	94	6	makes	make	VERB
alkej-733	94	7	objects	object	NOUN
alkej-733	94	8	recognition	recognition	NOUN
alkej-733	94	9	much	much	ADV
alkej-733	94	10	easier	easy	ADJ
alkej-733	94	11	in	in	ADP
alkej-733	94	12	spite	spite	NOUN
alkej-733	94	13	of	of	ADP
alkej-733	94	14	their	their	PRON
alkej-733	94	15	location	location	NOUN
alkej-733	94	16	in	in	ADP
alkej-733	94	17	the	the	DET
alkej-733	94	18	image	image	NOUN
alkej-733	94	19	,	,	PUNCT
alkej-733	94	20	not	not	PART
alkej-733	94	21	to	to	PART
alkej-733	94	22	mention	mention	VERB
alkej-733	94	23	that	that	SCONJ
alkej-733	94	24	diminishing	diminish	VERB
alkej-733	94	25	the	the	DET
alkej-733	94	26	count	count	NOUN
alkej-733	94	27	of	of	ADP
alkej-733	94	28	pixels	pixel	NOUN
alkej-733	94	29	implies	imply	VERB
alkej-733	94	30	there	there	PRON
alkej-733	94	31	are	be	VERB
alkej-733	94	32	less	less	ADJ
alkej-733	94	33	parameters	parameter	NOUN
alkej-733	94	34	to	to	ADP
alkej-733	94	35	tune	tune	NOUN
alkej-733	94	36	,	,	PUNCT
alkej-733	94	37	which	which	PRON
alkej-733	94	38	eliminates	eliminate	VERB
alkej-733	94	39	overfitting	overfitte	VERB
alkej-733	94	40	.	.	PUNCT
alkej-733	95	1	pooling	pool	VERB
alkej-733	95	2	is	be	AUX
alkej-733	95	3	fairly	fairly	ADV
alkej-733	95	4	like	like	ADP
alkej-733	95	5	convolution	convolution	NOUN
alkej-733	95	6	,	,	PUNCT
alkej-733	95	7	in	in	ADP
alkej-733	95	8	the	the	DET
alkej-733	95	9	sense	sense	NOUN
alkej-733	95	10	that	that	SCONJ
alkej-733	95	11	the	the	DET
alkej-733	95	12	size	size	NOUN
alkej-733	95	13	of	of	ADP
alkej-733	95	14	filters	filter	NOUN
alkej-733	95	15	,	,	PUNCT
alkej-733	95	16	the	the	DET
alkej-733	95	17	type	type	NOUN
alkej-733	95	18	of	of	ADP
alkej-733	95	19	padding	padding	NOUN
alkej-733	95	20	and	and	CCONJ
alkej-733	95	21	stride	stride	NOUN
alkej-733	95	22	must	must	AUX
alkej-733	95	23	be	be	AUX
alkej-733	95	24	selected	select	VERB
alkej-733	95	25	.	.	PUNCT
alkej-733	96	1	q(z	q(z	X
alkej-733	96	2	)	)	PUNCT
alkej-733	96	3	=	=	SYM
alkej-733	97	1	maxzab	maxzab	NOUN
alkej-733	97	2	⁡⁡	⁡⁡	NOUN
alkej-733	97	3	,	,	PUNCT
alkej-733	97	4	a	a	DET
alkej-733	97	5	,	,	PUNCT
alkej-733	97	6	b⁡ϵ⁡rij	b⁡ϵ⁡rij	NOUN
alkej-733	97	7	…	…	PUNCT
alkej-733	97	8	(	(	PUNCT
alkej-733	97	9	3	3	NUM
alkej-733	97	10	)	)	PUNCT
alkej-733	97	11	where	where	SCONJ
alkej-733	97	12	q(z	q(z	PROPN
alkej-733	97	13	)	)	PUNCT
alkej-733	97	14	represents	represent	VERB
alkej-733	97	15	the	the	DET
alkej-733	97	16	pooling	pool	VERB
alkej-733	97	17	function	function	NOUN
alkej-733	97	18	and	and	CCONJ
alkej-733	97	19	zab	zab	PROPN
alkej-733	97	20	is	be	AUX
alkej-733	97	21	the	the	DET
alkej-733	97	22	value	value	NOUN
alkej-733	97	23	of	of	ADP
alkej-733	97	24	the	the	DET
alkej-733	97	25	pixel	pixel	NOUN
alkej-733	97	26	on	on	ADP
alkej-733	97	27	the	the	DET
alkej-733	97	28	a	a	DET
alkej-733	97	29	-	-	PUNCT
alkej-733	97	30	th	th	NOUN
alkej-733	97	31	row	row	NOUN
alkej-733	97	32	and	and	CCONJ
alkej-733	97	33	b	b	X
alkej-733	97	34	-	-	PUNCT
alkej-733	97	35	th	th	VERB
alkej-733	97	36	column	column	NOUN
alkej-733	97	37	of	of	ADP
alkej-733	97	38	the	the	DET
alkej-733	97	39	filter	filter	NOUN
alkej-733	97	40	window	window	NOUN
alkej-733	97	41	(	(	PUNCT
alkej-733	97	42	rij	rij	ADJ
alkej-733	97	43	)	)	PUNCT
alkej-733	97	44	.	.	PUNCT
alkej-733	98	1	max	max	PROPN
alkej-733	98	2	ahmed	ahmed	PROPN
alkej-733	98	3	najah	najah	PROPN
alkej-733	98	4	al	al	PROPN
alkej-733	98	5	-	-	PUNCT
alkej-733	98	6	khwarizmi	khwarizmi	PROPN
alkej-733	98	7	engineering	engineering	NOUN
alkej-733	98	8	journal	journal	PROPN
alkej-733	98	9	,	,	PUNCT
alkej-733	98	10	vol	vol	NOUN
alkej-733	98	11	.	.	PROPN
alkej-733	98	12	17	17	NUM
alkej-733	98	13	,	,	PUNCT
alkej-733	98	14	no	no	INTJ
alkej-733	98	15	.	.	NOUN
alkej-733	98	16	1	1	NUM
alkej-733	98	17	,	,	PUNCT
alkej-733	98	18	p.p	p.p	PROPN
alkej-733	98	19	.	.	PROPN
alkej-733	98	20	1118	1118	NUM
alkej-733	98	21	(	(	PUNCT
alkej-733	98	22	2021	2021	NUM
alkej-733	98	23	)	)	PUNCT
alkej-733	98	24	5	5	NUM
alkej-733	98	25	pooling	pooling	NOUN
alkej-733	98	26	focuses	focus	VERB
alkej-733	98	27	on	on	ADP
alkej-733	98	28	the	the	DET
alkej-733	98	29	pixels	pixel	NOUN
alkej-733	98	30	that	that	PRON
alkej-733	98	31	are	be	AUX
alkej-733	98	32	important	important	ADJ
alkej-733	98	33	;	;	PUNCT
alkej-733	98	34	in	in	ADP
alkej-733	98	35	which	which	PRON
alkej-733	98	36	the	the	DET
alkej-733	98	37	pixels	pixel	NOUN
alkej-733	98	38	with	with	ADP
alkej-733	98	39	high	high	ADJ
alkej-733	98	40	values	value	NOUN
alkej-733	98	41	are	be	AUX
alkej-733	98	42	thought	think	VERB
alkej-733	98	43	of	of	ADP
alkej-733	98	44	as	as	ADP
alkej-733	98	45	the	the	DET
alkej-733	98	46	ones	one	NOUN
alkej-733	98	47	that	that	PRON
alkej-733	98	48	are	be	AUX
alkej-733	98	49	highly	highly	ADV
alkej-733	98	50	activated	activate	VERB
alkej-733	98	51	.	.	PUNCT
alkej-733	99	1	according	accord	VERB
alkej-733	99	2	to	to	ADP
alkej-733	99	3	[	[	X
alkej-733	99	4	31	31	NUM
alkej-733	99	5	]	]	PUNCT
alkej-733	99	6	,	,	PUNCT
alkej-733	99	7	max	max	PROPN
alkej-733	99	8	pooling	pooling	NOUN
alkej-733	99	9	showed	show	VERB
alkej-733	99	10	superior	superior	ADJ
alkej-733	99	11	performance	performance	NOUN
alkej-733	99	12	when	when	SCONJ
alkej-733	99	13	compared	compare	VERB
alkej-733	99	14	with	with	ADP
alkej-733	99	15	average	average	ADJ
alkej-733	99	16	pooling	pooling	NOUN
alkej-733	99	17	.	.	PUNCT
alkej-733	100	1	it	it	PRON
alkej-733	100	2	has	have	AUX
alkej-733	100	3	been	be	AUX
alkej-733	100	4	utilized	utilize	VERB
alkej-733	100	5	in	in	ADP
alkej-733	100	6	many	many	ADJ
alkej-733	100	7	advanced	advanced	ADJ
alkej-733	100	8	models	model	NOUN
alkej-733	100	9	[	[	X
alkej-733	100	10	32	32	NUM
alkej-733	100	11	,	,	PUNCT
alkej-733	100	12	33	33	NUM
alkej-733	100	13	,	,	PUNCT
alkej-733	100	14	34	34	NUM
alkej-733	100	15	,	,	PUNCT
alkej-733	100	16	35	35	NUM
alkej-733	100	17	]	]	PUNCT
alkej-733	100	18	.	.	PUNCT
alkej-733	101	1	global	global	ADJ
alkej-733	101	2	average	average	ADJ
alkej-733	101	3	pooling	pooling	NOUN
alkej-733	101	4	:	:	PUNCT
alkej-733	101	5	a	a	DET
alkej-733	101	6	global	global	ADJ
alkej-733	101	7	average	average	ADJ
alkej-733	101	8	pooling	pooling	NOUN
alkej-733	101	9	(	(	PUNCT
alkej-733	101	10	gap	gap	NOUN
alkej-733	101	11	)	)	PUNCT
alkej-733	101	12	is	be	AUX
alkej-733	101	13	a	a	DET
alkej-733	101	14	type	type	NOUN
alkej-733	101	15	of	of	ADP
alkej-733	101	16	pooling	pooling	NOUN
alkej-733	101	17	that	that	PRON
alkej-733	101	18	is	be	AUX
alkej-733	101	19	applied	apply	VERB
alkej-733	101	20	onto	onto	ADP
alkej-733	101	21	the	the	DET
alkej-733	101	22	dimensions	dimension	NOUN
alkej-733	101	23	of	of	ADP
alkej-733	101	24	the	the	DET
alkej-733	101	25	tensor	tensor	NOUN
alkej-733	101	26	until	until	SCONJ
alkej-733	101	27	every	every	DET
alkej-733	101	28	dimension	dimension	NOUN
alkej-733	101	29	is	be	AUX
alkej-733	101	30	converted	convert	VERB
alkej-733	101	31	to	to	ADP
alkej-733	101	32	one	one	NUM
alkej-733	101	33	,	,	PUNCT
alkej-733	101	34	in	in	ADP
alkej-733	101	35	which	which	PRON
alkej-733	101	36	;	;	PUNCT
alkej-733	101	37	this	this	DET
alkej-733	101	38	process	process	NOUN
alkej-733	101	39	decreases	decrease	VERB
alkej-733	101	40	the	the	DET
alkej-733	101	41	trainable	trainable	ADJ
alkej-733	101	42	parameters	parameter	NOUN
alkej-733	101	43	and	and	CCONJ
alkej-733	101	44	reduces	reduce	VERB
alkej-733	101	45	overfitting	overfitte	VERB
alkej-733	101	46	.	.	PUNCT
alkej-733	102	1	a	a	DET
alkej-733	102	2	layer	layer	NOUN
alkej-733	102	3	of	of	ADP
alkej-733	102	4	gap	gap	NOUN
alkej-733	102	5	has	have	AUX
alkej-733	102	6	been	be	AUX
alkej-733	102	7	used	use	VERB
alkej-733	102	8	in	in	ADP
alkej-733	102	9	this	this	DET
alkej-733	102	10	research	research	NOUN
alkej-733	102	11	instead	instead	ADV
alkej-733	102	12	of	of	ADP
alkej-733	102	13	a	a	DET
alkej-733	102	14	flattening	flattening	NOUN
alkej-733	102	15	layer	layer	NOUN
alkej-733	102	16	,	,	PUNCT
alkej-733	102	17	as	as	SCONJ
alkej-733	102	18	it	it	PRON
alkej-733	102	19	showed	show	VERB
alkej-733	102	20	better	well	ADJ
alkej-733	102	21	performance	performance	NOUN
alkej-733	102	22	.	.	PUNCT
alkej-733	103	1	2.1	2.1	NUM
alkej-733	103	2	transfer	transfer	NOUN
alkej-733	103	3	learning	learning	NOUN
alkej-733	103	4	to	to	PART
alkej-733	103	5	upscale	upscale	VERB
alkej-733	103	6	the	the	DET
alkej-733	103	7	performance	performance	NOUN
alkej-733	103	8	of	of	ADP
alkej-733	103	9	a	a	DET
alkej-733	103	10	cnn	cnn	PROPN
alkej-733	103	11	,	,	PUNCT
alkej-733	103	12	a	a	DET
alkej-733	103	13	number	number	NOUN
alkej-733	103	14	of	of	ADP
alkej-733	103	15	modifications	modification	NOUN
alkej-733	103	16	can	can	AUX
alkej-733	103	17	be	be	AUX
alkej-733	103	18	executed	execute	VERB
alkej-733	103	19	like	like	ADP
alkej-733	103	20	increasing	increase	VERB
alkej-733	103	21	the	the	DET
alkej-733	103	22	number	number	NOUN
alkej-733	103	23	of	of	ADP
alkej-733	103	24	hidden	hidden	ADJ
alkej-733	103	25	layers	layer	NOUN
alkej-733	103	26	or	or	CCONJ
alkej-733	103	27	neurons	neuron	NOUN
alkej-733	103	28	.	.	PUNCT
alkej-733	104	1	but	but	CCONJ
alkej-733	104	2	that	that	DET
alkej-733	104	3	action	action	NOUN
alkej-733	104	4	can	can	AUX
alkej-733	104	5	cause	cause	VERB
alkej-733	104	6	an	an	DET
alkej-733	104	7	increase	increase	NOUN
alkej-733	104	8	in	in	ADP
alkej-733	104	9	the	the	DET
alkej-733	104	10	number	number	NOUN
alkej-733	104	11	of	of	ADP
alkej-733	104	12	trainable	trainable	ADJ
alkej-733	104	13	parameters	parameter	NOUN
alkej-733	104	14	,	,	PUNCT
alkej-733	104	15	which	which	PRON
alkej-733	104	16	requires	require	VERB
alkej-733	104	17	more	more	ADJ
alkej-733	104	18	data	datum	NOUN
alkej-733	104	19	.	.	PUNCT
alkej-733	105	1	the	the	DET
alkej-733	105	2	effect	effect	NOUN
alkej-733	105	3	of	of	ADP
alkej-733	105	4	data	datum	NOUN
alkej-733	105	5	amount	amount	NOUN
alkej-733	105	6	on	on	ADP
alkej-733	105	7	the	the	DET
alkej-733	105	8	performance	performance	NOUN
alkej-733	105	9	of	of	ADP
alkej-733	105	10	the	the	DET
alkej-733	105	11	network	network	NOUN
alkej-733	105	12	is	be	AUX
alkej-733	105	13	depicted	depict	VERB
alkej-733	105	14	in	in	ADP
alkej-733	105	15	fig	fig	NOUN
alkej-733	105	16	.	.	PUNCT
alkej-733	106	1	4	4	X
alkej-733	106	2	.	.	X
alkej-733	107	1	although	although	SCONJ
alkej-733	107	2	large	large	ADJ
alkej-733	107	3	-	-	PUNCT
alkej-733	107	4	scale	scale	NOUN
alkej-733	107	5	networks	network	NOUN
alkej-733	107	6	performance	performance	NOUN
alkej-733	107	7	is	be	AUX
alkej-733	107	8	superior	superior	ADJ
alkej-733	107	9	to	to	ADP
alkej-733	107	10	different	different	ADJ
alkej-733	107	11	techniques	technique	NOUN
alkej-733	107	12	,	,	PUNCT
alkej-733	107	13	it	it	PRON
alkej-733	107	14	still	still	ADV
alkej-733	107	15	contingent	contingent	ADJ
alkej-733	107	16	upon	upon	SCONJ
alkej-733	107	17	the	the	DET
alkej-733	107	18	size	size	NOUN
alkej-733	107	19	of	of	ADP
alkej-733	107	20	training	training	NOUN
alkej-733	107	21	data	datum	NOUN
alkej-733	107	22	.	.	PUNCT
alkej-733	108	1	but	but	CCONJ
alkej-733	108	2	,	,	PUNCT
alkej-733	108	3	transfer	transfer	VERB
alkej-733	108	4	learning	learning	NOUN
alkej-733	108	5	on	on	ADP
alkej-733	108	6	the	the	DET
alkej-733	108	7	other	other	ADJ
alkej-733	108	8	hand	hand	NOUN
alkej-733	108	9	can	can	AUX
alkej-733	108	10	achieve	achieve	VERB
alkej-733	108	11	a	a	DET
alkej-733	108	12	remarkable	remarkable	ADJ
alkej-733	108	13	performance	performance	NOUN
alkej-733	108	14	which	which	PRON
alkej-733	108	15	can	can	AUX
alkej-733	108	16	be	be	AUX
alkej-733	108	17	compared	compare	VERB
alkej-733	108	18	custom	custom	NOUN
alkej-733	108	19	cnns	cnn	NOUN
alkej-733	108	20	using	use	VERB
alkej-733	108	21	small	small	ADJ
alkej-733	108	22	datasets	dataset	NOUN
alkej-733	108	23	[	[	X
alkej-733	108	24	36	36	NUM
alkej-733	108	25	,	,	PUNCT
alkej-733	108	26	37	37	NUM
alkej-733	108	27	]	]	PUNCT
alkej-733	108	28	.	.	PUNCT
alkej-733	109	1	by	by	ADP
alkej-733	109	2	utilizing	utilize	VERB
alkej-733	109	3	parameters	parameter	NOUN
alkej-733	109	4	(	(	PUNCT
alkej-733	109	5	knowledge	knowledge	NOUN
alkej-733	109	6	)	)	PUNCT
alkej-733	109	7	gained	gain	VERB
alkej-733	109	8	from	from	ADP
alkej-733	109	9	prior	prior	ADJ
alkej-733	109	10	tasks	task	NOUN
alkej-733	109	11	that	that	PRON
alkej-733	109	12	have	have	VERB
alkej-733	109	13	a	a	DET
alkej-733	109	14	sufficient	sufficient	ADJ
alkej-733	109	15	dataset	dataset	NOUN
alkej-733	109	16	,	,	PUNCT
alkej-733	109	17	transfer	transfer	NOUN
alkej-733	109	18	learning	learning	NOUN
alkej-733	109	19	can	can	AUX
alkej-733	109	20	be	be	AUX
alkej-733	109	21	used	use	VERB
alkej-733	109	22	with	with	ADP
alkej-733	109	23	insufficient	insufficient	ADJ
alkej-733	109	24	data	datum	NOUN
alkej-733	109	25	.	.	PUNCT
alkej-733	110	1	instead	instead	ADV
alkej-733	110	2	of	of	ADP
alkej-733	110	3	using	use	VERB
alkej-733	110	4	a	a	DET
alkej-733	110	5	custom	custom	NOUN
alkej-733	110	6	cnn	cnn	NOUN
alkej-733	110	7	,	,	PUNCT
alkej-733	110	8	which	which	PRON
alkej-733	110	9	would	would	AUX
alkej-733	110	10	result	result	VERB
alkej-733	110	11	in	in	ADP
alkej-733	110	12	issues	issue	NOUN
alkej-733	110	13	with	with	ADP
alkej-733	110	14	its	its	PRON
alkej-733	110	15	performance	performance	NOUN
alkej-733	110	16	.	.	PUNCT
alkej-733	111	1	with	with	ADP
alkej-733	111	2	this	this	DET
alkej-733	111	3	methodology	methodology	NOUN
alkej-733	111	4	,	,	PUNCT
alkej-733	111	5	the	the	DET
alkej-733	111	6	primary	primary	ADJ
alkej-733	111	7	m	m	NOUN
alkej-733	111	8	layers	layer	NOUN
alkej-733	111	9	of	of	ADP
alkej-733	111	10	the	the	DET
alkej-733	111	11	network	network	NOUN
alkej-733	111	12	that	that	PRON
alkej-733	111	13	are	be	AUX
alkej-733	111	14	already	already	ADV
alkej-733	111	15	trained	train	VERB
alkej-733	111	16	,	,	PUNCT
alkej-733	111	17	are	be	AUX
alkej-733	111	18	transferred	transfer	VERB
alkej-733	111	19	to	to	ADP
alkej-733	111	20	another	another	DET
alkej-733	111	21	network	network	NOUN
alkej-733	111	22	with	with	ADP
alkej-733	111	23	untrained	untrained	ADJ
alkej-733	111	24	layers	layer	NOUN
alkej-733	111	25	that	that	PRON
alkej-733	111	26	would	would	AUX
alkej-733	111	27	use	use	VERB
alkej-733	111	28	the	the	DET
alkej-733	111	29	new	new	ADJ
alkej-733	111	30	target	target	NOUN
alkej-733	111	31	’s	’s	PART
alkej-733	111	32	data	datum	NOUN
alkej-733	111	33	to	to	PART
alkej-733	111	34	train	train	VERB
alkej-733	111	35	with	with	ADP
alkej-733	111	36	.	.	PUNCT
alkej-733	112	1	generally	generally	ADV
alkej-733	112	2	,	,	PUNCT
alkej-733	112	3	the	the	DET
alkej-733	112	4	transferred	transfer	VERB
alkej-733	112	5	m	m	NOUN
alkej-733	112	6	layers	layer	NOUN
alkej-733	112	7	are	be	AUX
alkej-733	112	8	trained	train	VERB
alkej-733	112	9	to	to	PART
alkej-733	112	10	be	be	AUX
alkej-733	112	11	features	feature	NOUN
alkej-733	112	12	extractors	extractor	NOUN
alkej-733	112	13	when	when	SCONJ
alkej-733	112	14	applied	apply	VERB
alkej-733	112	15	on	on	ADP
alkej-733	112	16	input	input	NOUN
alkej-733	112	17	data	datum	NOUN
alkej-733	112	18	,	,	PUNCT
alkej-733	112	19	in	in	ADP
alkej-733	112	20	which	which	PRON
alkej-733	112	21	they	they	PRON
alkej-733	112	22	do	do	AUX
alkej-733	112	23	not	not	PART
alkej-733	112	24	depend	depend	VERB
alkej-733	112	25	on	on	ADP
alkej-733	112	26	the	the	DET
alkej-733	112	27	domain	domain	NOUN
alkej-733	112	28	of	of	ADP
alkej-733	112	29	the	the	DET
alkej-733	112	30	application	application	NOUN
alkej-733	112	31	.	.	PUNCT
alkej-733	113	1	transfer	transfer	NOUN
alkej-733	113	2	learning	learning	NOUN
alkej-733	113	3	is	be	AUX
alkej-733	113	4	considered	consider	VERB
alkej-733	113	5	as	as	ADP
alkej-733	113	6	a	a	DET
alkej-733	113	7	solution	solution	NOUN
alkej-733	113	8	to	to	ADP
alkej-733	113	9	the	the	DET
alkej-733	113	10	problem	problem	NOUN
alkej-733	113	11	of	of	ADP
alkej-733	113	12	small	small	ADJ
alkej-733	113	13	datasets	dataset	NOUN
alkej-733	113	14	,	,	PUNCT
alkej-733	113	15	as	as	SCONJ
alkej-733	113	16	recent	recent	ADJ
alkej-733	113	17	studies	study	NOUN
alkej-733	113	18	proved	prove	VERB
alkej-733	113	19	that	that	SCONJ
alkej-733	113	20	the	the	DET
alkej-733	113	21	main	main	ADJ
alkej-733	113	22	layers	layer	NOUN
alkej-733	113	23	(	(	PUNCT
alkej-733	113	24	pooling	pooling	NOUN
alkej-733	113	25	,	,	PUNCT
alkej-733	113	26	relu	relu	NOUN
alkej-733	113	27	and	and	CCONJ
alkej-733	113	28	convolution	convolution	NOUN
alkej-733	113	29	)	)	PUNCT
alkej-733	113	30	for	for	ADP
alkej-733	113	31	a	a	DET
alkej-733	113	32	cnn	cnn	PROPN
alkej-733	113	33	,	,	PUNCT
alkej-733	113	34	serve	serve	VERB
alkej-733	113	35	as	as	ADP
alkej-733	113	36	a	a	DET
alkej-733	113	37	features	feature	NOUN
alkej-733	113	38	extraction	extraction	NOUN
alkej-733	113	39	tool	tool	NOUN
alkej-733	113	40	regardless	regardless	ADV
alkej-733	113	41	of	of	ADP
alkej-733	113	42	the	the	DET
alkej-733	113	43	target	target	NOUN
alkej-733	113	44	task	task	NOUN
alkej-733	113	45	,	,	PUNCT
alkej-733	113	46	as	as	ADP
alkej-733	113	47	for	for	ADP
alkej-733	113	48	the	the	DET
alkej-733	113	49	rest	rest	NOUN
alkej-733	113	50	of	of	ADP
alkej-733	113	51	the	the	DET
alkej-733	113	52	layers	layer	NOUN
alkej-733	113	53	(	(	PUNCT
alkej-733	113	54	classification	classification	NOUN
alkej-733	113	55	and	and	CCONJ
alkej-733	113	56	sigmoid	sigmoid	NOUN
alkej-733	113	57	)	)	PUNCT
alkej-733	113	58	,	,	PUNCT
alkej-733	113	59	they	they	PRON
alkej-733	113	60	are	be	AUX
alkej-733	113	61	associated	associate	VERB
alkej-733	113	62	with	with	ADP
alkej-733	113	63	task	task	NOUN
alkej-733	113	64	[	[	X
alkej-733	113	65	38	38	NUM
alkej-733	113	66	,	,	PUNCT
alkej-733	113	67	39	39	NUM
alkej-733	113	68	]	]	PUNCT
alkej-733	113	69	.	.	PUNCT
alkej-733	114	1	however	however	ADV
alkej-733	114	2	,	,	PUNCT
alkej-733	114	3	there	there	PRON
alkej-733	114	4	were	be	VERB
alkej-733	114	5	insufficient	insufficient	ADJ
alkej-733	114	6	data	datum	NOUN
alkej-733	114	7	to	to	PART
alkej-733	114	8	build	build	VERB
alkej-733	114	9	a	a	DET
alkej-733	114	10	network	network	NOUN
alkej-733	114	11	from	from	ADP
alkej-733	114	12	scratch	scratch	NOUN
alkej-733	114	13	for	for	ADP
alkej-733	114	14	this	this	DET
alkej-733	114	15	research	research	NOUN
alkej-733	114	16	.	.	PUNCT
alkej-733	115	1	therefore	therefore	ADV
alkej-733	115	2	,	,	PUNCT
alkej-733	115	3	transfer	transfer	NOUN
alkej-733	115	4	learning	learning	NOUN
alkej-733	115	5	approach	approach	NOUN
alkej-733	115	6	was	be	AUX
alkej-733	115	7	used	use	VERB
alkej-733	115	8	to	to	PART
alkej-733	115	9	construct	construct	VERB
alkej-733	115	10	a	a	DET
alkej-733	115	11	classifier	classifier	NOUN
alkej-733	115	12	for	for	ADP
alkej-733	115	13	the	the	DET
alkej-733	115	14	purpose	purpose	NOUN
alkej-733	115	15	of	of	ADP
alkej-733	115	16	qi	qi	PROPN
alkej-733	115	17	,	,	PUNCT
alkej-733	115	18	to	to	PART
alkej-733	115	19	classify	classify	VERB
alkej-733	115	20	helical	helical	ADJ
alkej-733	115	21	gears	gear	NOUN
alkej-733	115	22	into	into	ADP
alkej-733	115	23	damaged	damaged	ADJ
alkej-733	115	24	and	and	CCONJ
alkej-733	115	25	healthy	healthy	ADJ
alkej-733	115	26	gears	gear	NOUN
alkej-733	115	27	.	.	PUNCT
alkej-733	116	1	the	the	DET
alkej-733	116	2	used	use	VERB
alkej-733	116	3	trained	train	VERB
alkej-733	116	4	model	model	NOUN
alkej-733	116	5	was	be	AUX
alkej-733	116	6	the	the	DET
alkej-733	116	7	densenet121	densenet121	PROPN
alkej-733	116	8	,	,	PUNCT
alkej-733	116	9	which	which	PRON
alkej-733	116	10	will	will	AUX
alkej-733	116	11	be	be	AUX
alkej-733	116	12	discussed	discuss	VERB
alkej-733	116	13	in	in	ADP
alkej-733	116	14	the	the	DET
alkej-733	116	15	following	follow	VERB
alkej-733	116	16	section	section	NOUN
alkej-733	116	17	.	.	PUNCT
alkej-733	117	1	fig	fig	NOUN
alkej-733	117	2	.	.	PUNCT
alkej-733	118	1	4	4	X
alkej-733	118	2	.	.	X
alkej-733	118	3	performance	performance	NOUN
alkej-733	118	4	of	of	ADP
alkej-733	118	5	learning	learn	VERB
alkej-733	118	6	approaches	approach	NOUN
alkej-733	118	7	vs.	vs.	ADP
alkej-733	118	8	data	datum	NOUN
alkej-733	118	9	size	size	NOUN
alkej-733	118	10	.	.	PUNCT
alkej-733	119	1	2.3	2.3	NUM
alkej-733	119	2	implemented	implement	VERB
alkej-733	119	3	architecture	architecture	NOUN
alkej-733	119	4	densenet	densenet	NOUN
alkej-733	119	5	(	(	PUNCT
alkej-733	119	6	or	or	CCONJ
alkej-733	119	7	dense	dense	ADJ
alkej-733	119	8	convolutional	convolutional	ADJ
alkej-733	119	9	neural	neural	ADJ
alkej-733	119	10	network	network	NOUN
alkej-733	119	11	)	)	PUNCT
alkej-733	119	12	is	be	AUX
alkej-733	119	13	a	a	DET
alkej-733	119	14	huge	huge	ADJ
alkej-733	119	15	cnn	cnn	NOUN
alkej-733	119	16	that	that	PRON
alkej-733	119	17	comprises	comprise	VERB
alkej-733	119	18	121	121	NUM
alkej-733	119	19	layers	layer	NOUN
alkej-733	119	20	,	,	PUNCT
alkej-733	119	21	created	create	VERB
alkej-733	119	22	by	by	ADP
alkej-733	119	23	a	a	DET
alkej-733	119	24	group	group	NOUN
alkej-733	119	25	of	of	ADP
alkej-733	119	26	analysts	analyst	NOUN
alkej-733	119	27	[	[	X
alkej-733	119	28	40	40	NUM
alkej-733	119	29	]	]	PUNCT
alkej-733	119	30	.	.	PUNCT
alkej-733	120	1	the	the	DET
alkej-733	120	2	layers	layer	NOUN
alkej-733	120	3	in	in	ADP
alkej-733	120	4	this	this	DET
alkej-733	120	5	network	network	NOUN
alkej-733	120	6	are	be	AUX
alkej-733	120	7	connected	connect	VERB
alkej-733	120	8	in	in	ADP
alkej-733	120	9	a	a	DET
alkej-733	120	10	feed	feed	NOUN
alkej-733	120	11	forward	forward	ADJ
alkej-733	120	12	arrangement	arrangement	NOUN
alkej-733	120	13	,	,	PUNCT
alkej-733	120	14	in	in	ADP
alkej-733	120	15	order	order	NOUN
alkej-733	120	16	that	that	SCONJ
alkej-733	120	17	each	each	DET
alkej-733	120	18	layer	layer	NOUN
alkej-733	120	19	receives	receive	VERB
alkej-733	120	20	feature	feature	NOUN
alkej-733	120	21	maps	map	NOUN
alkej-733	120	22	as	as	ADP
alkej-733	120	23	inputs	input	NOUN
alkej-733	120	24	that	that	PRON
alkej-733	120	25	came	come	VERB
alkej-733	120	26	from	from	ADP
alkej-733	120	27	previous	previous	ADJ
alkej-733	120	28	layers	layer	NOUN
alkej-733	120	29	.	.	PUNCT
alkej-733	121	1	the	the	DET
alkej-733	121	2	feature	feature	NOUN
alkej-733	121	3	maps	map	NOUN
alkej-733	121	4	from	from	ADP
alkej-733	121	5	this	this	DET
alkej-733	121	6	layer	layer	NOUN
alkej-733	121	7	are	be	AUX
alkej-733	121	8	also	also	ADV
alkej-733	121	9	employed	employ	VERB
alkej-733	121	10	as	as	ADP
alkej-733	121	11	inputs	input	NOUN
alkej-733	121	12	to	to	ADP
alkej-733	121	13	the	the	DET
alkej-733	121	14	following	follow	VERB
alkej-733	121	15	layers	layer	NOUN
alkej-733	121	16	.	.	PUNCT
alkej-733	122	1	regular	regular	ADJ
alkej-733	122	2	cnns	cnn	NOUN
alkej-733	122	3	with	with	ADP
alkej-733	122	4	m	m	NOUN
alkej-733	122	5	layers	layer	NOUN
alkej-733	122	6	have	have	VERB
alkej-733	122	7	just	just	ADV
alkej-733	122	8	m	m	NOUN
alkej-733	122	9	connections	connection	NOUN
alkej-733	122	10	,	,	PUNCT
alkej-733	122	11	in	in	ADP
alkej-733	122	12	which	which	PRON
alkej-733	122	13	there	there	PRON
alkej-733	122	14	is	be	VERB
alkej-733	122	15	one	one	NUM
alkej-733	122	16	connection	connection	NOUN
alkej-733	122	17	between	between	ADP
alkej-733	122	18	every	every	DET
alkej-733	122	19	two	two	NUM
alkej-733	122	20	layers	layer	NOUN
alkej-733	122	21	,	,	PUNCT
alkej-733	122	22	however	however	SCONJ
alkej-733	122	23	densenet	densenet	NOUN
alkej-733	122	24	has	have	VERB
alkej-733	122	25	m(m+1)/2	m(m+1)/2	PROPN
alkej-733	122	26	straight	straight	ADJ
alkej-733	122	27	connections	connection	NOUN
alkej-733	122	28	.	.	PUNCT
alkej-733	123	1	the	the	DET
alkej-733	123	2	design	design	NOUN
alkej-733	123	3	of	of	ADP
alkej-733	123	4	the	the	DET
alkej-733	123	5	network	network	NOUN
alkej-733	123	6	include	include	VERB
alkej-733	123	7	121	121	NUM
alkej-733	123	8	layers	layer	NOUN
alkej-733	123	9	shaped	shape	VERB
alkej-733	123	10	as	as	ADP
alkej-733	123	11	4	4	NUM
alkej-733	123	12	dense	dense	ADJ
alkej-733	123	13	blocks	block	NOUN
alkej-733	123	14	,	,	PUNCT
alkej-733	123	15	comprising	comprise	VERB
alkej-733	123	16	convolutional	convolutional	ADJ
alkej-733	123	17	and	and	CCONJ
alkej-733	123	18	other	other	ADJ
alkej-733	123	19	layers	layer	NOUN
alkej-733	123	20	between	between	ADP
alkej-733	123	21	for	for	ADP
alkej-733	123	22	information	information	NOUN
alkej-733	123	23	flow	flow	NOUN
alkej-733	123	24	improvement	improvement	NOUN
alkej-733	123	25	among	among	ADP
alkej-733	123	26	layers	layer	NOUN
alkej-733	123	27	,	,	PUNCT
alkej-733	123	28	as	as	SCONJ
alkej-733	123	29	illustrated	illustrate	VERB
alkej-733	123	30	in	in	ADP
alkej-733	123	31	table	table	NOUN
alkej-733	123	32	1	1	NUM
alkej-733	123	33	[	[	X
alkej-733	123	34	40	40	NUM
alkej-733	123	35	]	]	PUNCT
alkej-733	123	36	.	.	PUNCT
alkej-733	124	1	the	the	DET
alkej-733	124	2	trainable	trainable	ADJ
alkej-733	124	3	classification	classification	NOUN
alkej-733	124	4	layer	layer	NOUN
alkej-733	124	5	is	be	AUX
alkej-733	124	6	also	also	ADV
alkej-733	124	7	shown	show	VERB
alkej-733	124	8	in	in	ADP
alkej-733	124	9	the	the	DET
alkej-733	124	10	table	table	NOUN
alkej-733	124	11	.	.	PUNCT
alkej-733	125	1	ahmed	ahmed	PROPN
alkej-733	125	2	najah	najah	PROPN
alkej-733	125	3	al	al	PROPN
alkej-733	125	4	-	-	PUNCT
alkej-733	125	5	khwarizmi	khwarizmi	PROPN
alkej-733	125	6	engineering	engineering	NOUN
alkej-733	125	7	journal	journal	PROPN
alkej-733	125	8	,	,	PUNCT
alkej-733	125	9	vol	vol	NOUN
alkej-733	125	10	.	.	PROPN
alkej-733	125	11	17	17	NUM
alkej-733	125	12	,	,	PUNCT
alkej-733	125	13	no	no	INTJ
alkej-733	125	14	.	.	NOUN
alkej-733	125	15	1	1	NUM
alkej-733	125	16	,	,	PUNCT
alkej-733	125	17	p.p	p.p	PROPN
alkej-733	125	18	.	.	PROPN
alkej-733	125	19	1118	1118	NUM
alkej-733	125	20	(	(	PUNCT
alkej-733	125	21	2021	2021	NUM
alkej-733	125	22	)	)	PUNCT
alkej-733	125	23	6	6	NUM
alkej-733	125	24	table	table	NOUN
alkej-733	125	25	1	1	NUM
alkej-733	125	26	,	,	PUNCT
alkej-733	125	27	transferred	transfer	VERB
alkej-733	125	28	and	and	CCONJ
alkej-733	125	29	trainable	trainable	ADJ
alkej-733	125	30	layers	layer	NOUN
alkej-733	125	31	.	.	PUNCT
alkej-733	126	1	stage	stage	NOUN
alkej-733	126	2	layers	layer	NOUN
alkej-733	126	3	transferred	transfer	VERB
alkej-733	126	4	1	1	NUM
alkej-733	126	5	(	(	PUNCT
alkej-733	126	6	conv	conv	ADJ
alkej-733	126	7	.	.	PUNCT
alkej-733	126	8	)	)	PUNCT
alkej-733	127	1	convolution	convolution	NOUN
alkej-733	127	2	transferred	transfer	VERB
alkej-733	127	3	2	2	NUM
alkej-733	127	4	(	(	PUNCT
alkej-733	127	5	pooling	pooling	NOUN
alkej-733	127	6	)	)	PUNCT
alkej-733	127	7	max	max	PROPN
alkej-733	127	8	pooling	pooling	NOUN
alkej-733	127	9	transferred	transfer	VERB
alkej-733	127	10	3	3	NUM
alkej-733	127	11	(	(	PUNCT
alkej-733	127	12	dense	dense	ADJ
alkej-733	127	13	block	block	NOUN
alkej-733	127	14	1	1	NUM
alkej-733	127	15	)	)	PUNCT
alkej-733	127	16	convolution	convolution	NOUN
alkej-733	127	17	×	×	NOUN
alkej-733	127	18	6	6	NUM
alkej-733	127	19	convolution	convolution	NOUN
alkej-733	127	20	transferred	transfer	VERB
alkej-733	127	21	4	4	NUM
alkej-733	127	22	(	(	PUNCT
alkej-733	127	23	transition	transition	NOUN
alkej-733	127	24	1	1	NUM
alkej-733	127	25	)	)	PUNCT
alkej-733	127	26	convolution	convolution	NOUN
alkej-733	127	27	average	average	ADJ
alkej-733	127	28	pooling	pooling	NOUN
alkej-733	127	29	transferred	transfer	VERB
alkej-733	127	30	5	5	NUM
alkej-733	127	31	(	(	PUNCT
alkej-733	127	32	dense	dense	ADJ
alkej-733	127	33	block	block	NOUN
alkej-733	127	34	2	2	NUM
alkej-733	127	35	)	)	PUNCT
alkej-733	127	36	convolution	convolution	NOUN
alkej-733	127	37	×	×	NOUN
alkej-733	127	38	12	12	NUM
alkej-733	127	39	convolution	convolution	NOUN
alkej-733	127	40	transferred	transfer	VERB
alkej-733	127	41	6	6	NUM
alkej-733	127	42	(	(	PUNCT
alkej-733	127	43	transition	transition	NOUN
alkej-733	127	44	2	2	NUM
alkej-733	127	45	)	)	PUNCT
alkej-733	127	46	convolution	convolution	NOUN
alkej-733	127	47	average	average	ADJ
alkej-733	127	48	pooling	pooling	NOUN
alkej-733	127	49	transferred	transfer	VERB
alkej-733	127	50	7	7	NUM
alkej-733	127	51	(	(	PUNCT
alkej-733	127	52	dense	dense	ADJ
alkej-733	127	53	block	block	NOUN
alkej-733	127	54	3	3	NUM
alkej-733	127	55	)	)	PUNCT
alkej-733	127	56	convolution	convolution	NOUN
alkej-733	127	57	×	×	NOUN
alkej-733	127	58	24	24	NUM
alkej-733	127	59	convolution	convolution	NOUN
alkej-733	127	60	transferred	transfer	VERB
alkej-733	127	61	8	8	NUM
alkej-733	127	62	(	(	PUNCT
alkej-733	127	63	transition	transition	NOUN
alkej-733	127	64	3	3	NUM
alkej-733	127	65	)	)	PUNCT
alkej-733	127	66	convolution	convolution	NOUN
alkej-733	127	67	average	average	ADJ
alkej-733	127	68	pooling	pooling	NOUN
alkej-733	127	69	transferred	transfer	VERB
alkej-733	127	70	9	9	NUM
alkej-733	127	71	(	(	PUNCT
alkej-733	127	72	dense	dense	ADJ
alkej-733	127	73	block	block	NOUN
alkej-733	127	74	4	4	NUM
alkej-733	127	75	)	)	PUNCT
alkej-733	127	76	convolution	convolution	NOUN
alkej-733	127	77	×	×	NOUN
alkej-733	127	78	16	16	NUM
alkej-733	127	79	convolution	convolution	NOUN
alkej-733	127	80	transferred	transfer	VERB
alkej-733	127	81	10	10	NUM
alkej-733	127	82	(	(	PUNCT
alkej-733	127	83	classification	classification	NOUN
alkej-733	127	84	)	)	PUNCT
alkej-733	127	85	global	global	ADJ
alkej-733	127	86	average	average	ADJ
alkej-733	127	87	pooling	pooling	NOUN
alkej-733	127	88	fully	fully	ADV
alkej-733	127	89	connected	connect	VERB
alkej-733	127	90	to	to	PART
alkej-733	127	91	be	be	AUX
alkej-733	127	92	trained	train	VERB
alkej-733	127	93	(	(	PUNCT
alkej-733	127	94	classification	classification	NOUN
alkej-733	127	95	)	)	PUNCT
alkej-733	127	96	global	global	ADJ
alkej-733	127	97	average	average	ADJ
alkej-733	127	98	pooling	pool	VERB
alkej-733	127	99	256d	256d	NUM
alkej-733	127	100	fully	fully	ADV
alkej-733	127	101	connected	connect	VERB
alkej-733	127	102	50	50	NUM
alkej-733	127	103	%	%	NOUN
alkej-733	127	104	dropout	dropout	NOUN
alkej-733	127	105	1d	1d	NUM
alkej-733	127	106	sigmoid	sigmoid	NOUN
alkej-733	127	107	3	3	X
alkej-733	127	108	.	.	PUNCT
alkej-733	127	109	experimental	experimental	ADJ
alkej-733	127	110	work	work	NOUN
alkej-733	127	111	to	to	PART
alkej-733	127	112	collect	collect	VERB
alkej-733	127	113	the	the	DET
alkej-733	127	114	data	datum	NOUN
alkej-733	127	115	,	,	PUNCT
alkej-733	127	116	a	a	DET
alkej-733	127	117	phone	phone	NOUN
alkej-733	127	118	camera	camera	NOUN
alkej-733	127	119	was	be	AUX
alkej-733	127	120	used	use	VERB
alkej-733	127	121	to	to	PART
alkej-733	127	122	capture	capture	VERB
alkej-733	127	123	4000	4000	NUM
alkej-733	127	124	images	image	NOUN
alkej-733	127	125	with	with	ADP
alkej-733	127	126	different	different	ADJ
alkej-733	127	127	backgrounds	background	NOUN
alkej-733	127	128	for	for	ADP
alkej-733	127	129	training	training	NOUN
alkej-733	127	130	and	and	CCONJ
alkej-733	127	131	validation	validation	NOUN
alkej-733	127	132	(	(	PUNCT
alkej-733	127	133	fig	fig	NOUN
alkej-733	127	134	.	.	PUNCT
alkej-733	127	135	5	5	NUM
alkej-733	127	136	)	)	PUNCT
alkej-733	127	137	.	.	PUNCT
alkej-733	128	1	the	the	DET
alkej-733	128	2	object	object	NOUN
alkej-733	128	3	(	(	PUNCT
alkej-733	128	4	helical	helical	ADJ
alkej-733	128	5	gear	gear	NOUN
alkej-733	128	6	)	)	PUNCT
alkej-733	128	7	was	be	AUX
alkej-733	128	8	taken	take	VERB
alkej-733	128	9	from	from	ADP
alkej-733	128	10	the	the	DET
alkej-733	128	11	gearbox	gearbox	NOUN
alkej-733	128	12	of	of	ADP
alkej-733	128	13	an	an	DET
alkej-733	128	14	automobile	automobile	NOUN
alkej-733	128	15	’s	’s	PART
alkej-733	128	16	transmission	transmission	NOUN
alkej-733	128	17	unit	unit	NOUN
alkej-733	128	18	.	.	PUNCT
alkej-733	129	1	the	the	DET
alkej-733	129	2	gear	gear	NOUN
alkej-733	129	3	serves	serve	VERB
alkej-733	129	4	as	as	ADP
alkej-733	129	5	an	an	DET
alkej-733	129	6	important	important	ADJ
alkej-733	129	7	part	part	NOUN
alkej-733	129	8	for	for	ADP
alkej-733	129	9	the	the	DET
alkej-733	129	10	gearbox	gearbox	NOUN
alkej-733	129	11	dynamics	dynamic	NOUN
alkej-733	129	12	because	because	SCONJ
alkej-733	129	13	it	it	PRON
alkej-733	129	14	transmits	transmit	VERB
alkej-733	129	15	power	power	NOUN
alkej-733	129	16	between	between	ADP
alkej-733	129	17	axles	axle	NOUN
alkej-733	129	18	.	.	PUNCT
alkej-733	130	1	an	an	DET
alkej-733	130	2	open	open	ADJ
alkej-733	130	3	-	-	PUNCT
alkej-733	130	4	source	source	NOUN
alkej-733	130	5	web	web	NOUN
alkej-733	130	6	based	base	VERB
alkej-733	130	7	development	development	NOUN
alkej-733	130	8	environment	environment	NOUN
alkej-733	130	9	known	know	VERB
alkej-733	130	10	as	as	ADP
alkej-733	130	11	jupyter	jupyter	ADJ
alkej-733	130	12	notebook	notebook	NOUN
alkej-733	130	13	was	be	AUX
alkej-733	130	14	used	use	VERB
alkej-733	130	15	to	to	PART
alkej-733	130	16	develop	develop	VERB
alkej-733	130	17	the	the	DET
alkej-733	130	18	model	model	NOUN
alkej-733	130	19	and	and	CCONJ
alkej-733	130	20	execute	execute	VERB
alkej-733	130	21	different	different	ADJ
alkej-733	130	22	data	datum	NOUN
alkej-733	130	23	manipulation	manipulation	NOUN
alkej-733	130	24	operations	operation	NOUN
alkej-733	130	25	using	use	VERB
alkej-733	130	26	python	python	NOUN
alkej-733	130	27	.	.	PUNCT
alkej-733	131	1	after	after	ADP
alkej-733	131	2	feeding	feed	VERB
alkej-733	131	3	the	the	DET
alkej-733	131	4	images	image	NOUN
alkej-733	131	5	into	into	ADP
alkej-733	131	6	the	the	DET
alkej-733	131	7	notebook	notebook	NOUN
alkej-733	131	8	,	,	PUNCT
alkej-733	131	9	they	they	PRON
alkej-733	131	10	were	be	AUX
alkej-733	131	11	converted	convert	VERB
alkej-733	131	12	to	to	ADP
alkej-733	131	13	pixels	pixel	NOUN
alkej-733	131	14	grids	grid	NOUN
alkej-733	131	15	that	that	PRON
alkej-733	131	16	describe	describe	VERB
alkej-733	131	17	the	the	DET
alkej-733	131	18	red	red	ADJ
alkej-733	131	19	green	green	ADJ
alkej-733	131	20	blue	blue	PROPN
alkej-733	131	21	(	(	PUNCT
alkej-733	131	22	rgb	rgb	PROPN
alkej-733	131	23	)	)	PUNCT
alkej-733	131	24	image	image	NOUN
alkej-733	131	25	,	,	PUNCT
alkej-733	131	26	then	then	ADV
alkej-733	131	27	decoded	decode	VERB
alkej-733	131	28	into	into	ADP
alkej-733	131	29	three	three	NUM
alkej-733	131	30	dimensional	dimensional	ADJ
alkej-733	131	31	matrices	matrix	NOUN
alkej-733	131	32	(	(	PUNCT
alkej-733	131	33	floating	float	VERB
alkej-733	131	34	point	point	NOUN
alkej-733	131	35	tensors	tensor	NOUN
alkej-733	131	36	)	)	PUNCT
alkej-733	131	37	,	,	PUNCT
alkej-733	131	38	because	because	SCONJ
alkej-733	131	39	cnns	cnn	NOUN
alkej-733	131	40	works	work	VERB
alkej-733	131	41	with	with	ADP
alkej-733	131	42	three	three	NUM
alkej-733	131	43	dimensional	dimensional	ADJ
alkej-733	131	44	matrices	matrix	NOUN
alkej-733	131	45	only	only	ADV
alkej-733	131	46	.	.	PUNCT
alkej-733	132	1	since	since	SCONJ
alkej-733	132	2	the	the	DET
alkej-733	132	3	densenet121	densenet121	PROPN
alkej-733	132	4	was	be	AUX
alkej-733	132	5	trained	train	VERB
alkej-733	132	6	with	with	ADP
alkej-733	132	7	images	image	NOUN
alkej-733	132	8	of	of	ADP
alkej-733	132	9	size	size	NOUN
alkej-733	132	10	(	(	PUNCT
alkej-733	132	11	224	224	NUM
alkej-733	132	12	x	x	SYM
alkej-733	132	13	224	224	NUM
alkej-733	132	14	)	)	PUNCT
alkej-733	132	15	pixels	pixel	NOUN
alkej-733	132	16	,	,	PUNCT
alkej-733	132	17	then	then	ADV
alkej-733	132	18	it	it	PRON
alkej-733	132	19	was	be	AUX
alkej-733	132	20	only	only	ADV
alkej-733	132	21	reasonable	reasonable	ADJ
alkej-733	132	22	to	to	PART
alkej-733	132	23	convert	convert	VERB
alkej-733	132	24	the	the	DET
alkej-733	132	25	training	training	NOUN
alkej-733	132	26	images	image	NOUN
alkej-733	132	27	into	into	ADP
alkej-733	132	28	that	that	DET
alkej-733	132	29	size	size	NOUN
alkej-733	132	30	.	.	PUNCT
alkej-733	133	1	the	the	DET
alkej-733	133	2	final	final	ADJ
alkej-733	133	3	step	step	NOUN
alkej-733	133	4	in	in	ADP
alkej-733	133	5	preprocessing	preprocessing	NOUN
alkej-733	133	6	was	be	AUX
alkej-733	133	7	to	to	PART
alkej-733	133	8	rescale	rescale	VERB
alkej-733	133	9	the	the	DET
alkej-733	133	10	values	value	NOUN
alkej-733	133	11	of	of	ADP
alkej-733	133	12	the	the	DET
alkej-733	133	13	pixels	pixel	NOUN
alkej-733	133	14	to	to	ADP
alkej-733	133	15	values	value	NOUN
alkej-733	133	16	between	between	ADP
alkej-733	133	17	0	0	NUM
alkej-733	133	18	and	and	CCONJ
alkej-733	133	19	1	1	NUM
alkej-733	133	20	by	by	ADP
alkej-733	133	21	dividing	divide	VERB
alkej-733	133	22	by	by	ADP
alkej-733	133	23	255	255	PROPN
alkej-733	134	1	.	.	PUNCT
alkej-733	134	2	fig	fig	NOUN
alkej-733	134	3	.	.	PUNCT
alkej-733	135	1	5	5	X
alkej-733	135	2	.	.	PUNCT
alkej-733	135	3	training	training	NOUN
alkej-733	135	4	images	image	NOUN
alkej-733	135	5	.	.	PUNCT
alkej-733	136	1	3.1	3.1	NUM
alkej-733	136	2	model	model	NOUN
alkej-733	136	3	training	training	NOUN
alkej-733	136	4	training	training	NOUN
alkej-733	136	5	refers	refer	VERB
alkej-733	136	6	to	to	ADP
alkej-733	136	7	the	the	DET
alkej-733	136	8	process	process	NOUN
alkej-733	136	9	of	of	ADP
alkej-733	136	10	optimizing	optimize	VERB
alkej-733	136	11	the	the	DET
alkej-733	136	12	weights	weight	NOUN
alkej-733	136	13	and	and	CCONJ
alkej-733	136	14	biases	bias	NOUN
alkej-733	136	15	of	of	ADP
alkej-733	136	16	a	a	DET
alkej-733	136	17	network	network	NOUN
alkej-733	136	18	.	.	PUNCT
alkej-733	137	1	optimizers	optimizer	NOUN
alkej-733	137	2	are	be	AUX
alkej-733	137	3	employed	employ	VERB
alkej-733	137	4	to	to	PART
alkej-733	137	5	update	update	VERB
alkej-733	137	6	the	the	DET
alkej-733	137	7	values	value	NOUN
alkej-733	137	8	of	of	ADP
alkej-733	137	9	those	those	DET
alkej-733	137	10	biases	bias	NOUN
alkej-733	137	11	and	and	CCONJ
alkej-733	137	12	weights	weight	NOUN
alkej-733	137	13	continuously	continuously	ADV
alkej-733	137	14	until	until	SCONJ
alkej-733	137	15	the	the	DET
alkej-733	137	16	global	global	ADJ
alkej-733	137	17	minimum	minimum	NOUN
alkej-733	137	18	point	point	NOUN
alkej-733	137	19	is	be	AUX
alkej-733	137	20	reached	reach	VERB
alkej-733	137	21	.	.	PUNCT
alkej-733	138	1	adam	adam	PROPN
alkej-733	138	2	optimizer	optimizer	NOUN
alkej-733	138	3	was	be	AUX
alkej-733	138	4	the	the	DET
alkej-733	138	5	employed	employ	VERB
alkej-733	138	6	optimizer	optimizer	NOUN
alkej-733	138	7	for	for	ADP
alkej-733	138	8	this	this	DET
alkej-733	138	9	research	research	NOUN
alkej-733	138	10	.	.	PUNCT
alkej-733	139	1	to	to	PART
alkej-733	139	2	estimate	estimate	VERB
alkej-733	139	3	the	the	DET
alkej-733	139	4	error	error	NOUN
alkej-733	139	5	within	within	ADP
alkej-733	139	6	the	the	DET
alkej-733	139	7	network	network	NOUN
alkej-733	139	8	,	,	PUNCT
alkej-733	139	9	binary	binary	PROPN
alkej-733	139	10	cross	cross	NOUN
alkej-733	139	11	-	-	ADJ
alkej-733	139	12	entropy	entropy	ADJ
alkej-733	139	13	function	function	NOUN
alkej-733	139	14	was	be	AUX
alkej-733	139	15	used	use	VERB
alkej-733	139	16	as	as	ADP
alkej-733	139	17	the	the	DET
alkej-733	139	18	cost	cost	NOUN
alkej-733	139	19	function	function	NOUN
alkej-733	139	20	:	:	PUNCT
alkej-733	139	21	error	error	NOUN
alkej-733	139	22	=	=	SYM
alkej-733	139	23	−⁡	−⁡	X
alkej-733	139	24	1	1	NUM
alkej-733	139	25	m	m	NOUN
alkej-733	139	26	⁡∑	⁡∑	NUM
alkej-733	139	27	(	(	PUNCT
alkej-733	139	28	r.	r.	PROPN
alkej-733	139	29	log(y))m	log(y))m	PROPN
alkej-733	139	30	x=1	x=1	PROPN
alkej-733	140	1	…	…	PUNCT
alkej-733	140	2	(	(	PUNCT
alkej-733	140	3	4	4	NUM
alkej-733	140	4	)	)	PUNCT
alkej-733	140	5	where	where	SCONJ
alkej-733	140	6	m	m	PROPN
alkej-733	140	7	refers	refer	VERB
alkej-733	140	8	to	to	ADP
alkej-733	140	9	the	the	DET
alkej-733	140	10	number	number	NOUN
alkej-733	140	11	of	of	ADP
alkej-733	140	12	the	the	DET
alkej-733	140	13	model	model	NOUN
alkej-733	140	14	’s	’s	PART
alkej-733	140	15	training	training	NOUN
alkej-733	140	16	data	datum	NOUN
alkej-733	140	17	,	,	PUNCT
alkej-733	140	18	r	r	NOUN
alkej-733	140	19	is	be	AUX
alkej-733	140	20	the	the	DET
alkej-733	140	21	goal	goal	NOUN
alkej-733	140	22	value	value	NOUN
alkej-733	140	23	and	and	CCONJ
alkej-733	140	24	y	y	PROPN
alkej-733	140	25	is	be	AUX
alkej-733	140	26	the	the	DET
alkej-733	140	27	output	output	NOUN
alkej-733	140	28	value	value	NOUN
alkej-733	140	29	(	(	PUNCT
alkej-733	140	30	prediction	prediction	NOUN
alkej-733	140	31	)	)	PUNCT
alkej-733	140	32	.	.	PUNCT
alkej-733	141	1	a	a	DET
alkej-733	141	2	(	(	PUNCT
alkej-733	141	3	log	log	NOUN
alkej-733	141	4	)	)	PUNCT
alkej-733	141	5	term	term	NOUN
alkej-733	141	6	used	use	VERB
alkej-733	141	7	in	in	ADP
alkej-733	141	8	the	the	DET
alkej-733	141	9	equation	equation	NOUN
alkej-733	141	10	to	to	PART
alkej-733	141	11	provoke	provoke	VERB
alkej-733	141	12	accentuation	accentuation	NOUN
alkej-733	141	13	onto	onto	ADP
alkej-733	141	14	the	the	DET
alkej-733	141	15	right	right	ADJ
alkej-733	141	16	predictions	prediction	NOUN
alkej-733	141	17	.	.	PUNCT
alkej-733	142	1	since	since	SCONJ
alkej-733	142	2	insufficient	insufficient	ADJ
alkej-733	142	3	data	datum	NOUN
alkej-733	142	4	was	be	AUX
alkej-733	142	5	used	use	VERB
alkej-733	142	6	for	for	ADP
alkej-733	142	7	this	this	DET
alkej-733	142	8	research	research	NOUN
alkej-733	142	9	,	,	PUNCT
alkej-733	142	10	hyperparameters	hyperparameter	VERB
alkej-733	142	11	tuning	tune	VERB
alkej-733	142	12	was	be	AUX
alkej-733	142	13	mandatory	mandatory	ADJ
alkej-733	142	14	to	to	PART
alkej-733	142	15	avoid	avoid	VERB
alkej-733	142	16	overfitting	overfitte	VERB
alkej-733	142	17	.	.	PUNCT
alkej-733	143	1	18	18	NUM
alkej-733	143	2	trials	trial	NOUN
alkej-733	143	3	were	be	AUX
alkej-733	143	4	performed	perform	VERB
alkej-733	143	5	using	use	VERB
alkej-733	143	6	an	an	DET
alkej-733	143	7	application	application	NOUN
alkej-733	143	8	programming	programming	NOUN
alkej-733	143	9	interface	interface	NOUN
alkej-733	143	10	called	call	VERB
alkej-733	143	11	keras	keras	PROPN
alkej-733	143	12	,	,	PUNCT
alkej-733	143	13	moreover	moreover	ADV
alkej-733	143	14	,	,	PUNCT
alkej-733	143	15	dummy	dummy	ADJ
alkej-733	143	16	data	datum	NOUN
alkej-733	143	17	was	be	AUX
alkej-733	143	18	added	add	VERB
alkej-733	143	19	to	to	ADP
alkej-733	143	20	the	the	DET
alkej-733	143	21	training	training	NOUN
alkej-733	143	22	dataset	dataset	VERB
alkej-733	143	23	by	by	ADP
alkej-733	143	24	using	use	VERB
alkej-733	143	25	data	datum	NOUN
alkej-733	143	26	augmentation	augmentation	NOUN
alkej-733	143	27	method	method	NOUN
alkej-733	143	28	,	,	PUNCT
alkej-733	143	29	to	to	PART
alkej-733	143	30	upscale	upscale	VERB
alkej-733	143	31	the	the	DET
alkej-733	143	32	data	datum	NOUN
alkej-733	143	33	.	.	PUNCT
alkej-733	144	1	dl	dl	PROPN
alkej-733	144	2	models	model	NOUN
alkej-733	144	3	consist	consist	VERB
alkej-733	144	4	of	of	ADP
alkej-733	144	5	millions	million	NOUN
alkej-733	144	6	of	of	ADP
alkej-733	144	7	parameters	parameter	NOUN
alkej-733	144	8	that	that	PRON
alkej-733	144	9	requires	require	VERB
alkej-733	144	10	a	a	DET
alkej-733	144	11	massive	massive	ADJ
alkej-733	144	12	amount	amount	NOUN
alkej-733	144	13	of	of	ADP
alkej-733	144	14	calculations	calculation	NOUN
alkej-733	144	15	.	.	PUNCT
alkej-733	145	1	so	so	ADV
alkej-733	145	2	,	,	PUNCT
alkej-733	145	3	to	to	PART
alkej-733	145	4	perform	perform	VERB
alkej-733	145	5	those	those	DET
alkej-733	145	6	calculations	calculation	NOUN
alkej-733	145	7	,	,	PUNCT
alkej-733	145	8	a	a	DET
alkej-733	145	9	large	large	ADJ
alkej-733	145	10	computing	computing	NOUN
alkej-733	145	11	power	power	NOUN
alkej-733	145	12	was	be	AUX
alkej-733	145	13	required	require	VERB
alkej-733	145	14	especially	especially	ADV
alkej-733	145	15	gpu	gpu	NOUN
alkej-733	145	16	power	power	NOUN
alkej-733	145	17	,	,	PUNCT
alkej-733	145	18	as	as	SCONJ
alkej-733	145	19	dl	dl	PROPN
alkej-733	145	20	trains	train	NOUN
alkej-733	145	21	faster	fast	ADV
alkej-733	145	22	on	on	ADP
alkej-733	145	23	gpus	gpu	NOUN
alkej-733	145	24	than	than	ADP
alkej-733	145	25	on	on	ADP
alkej-733	145	26	cpus	cpu	NOUN
alkej-733	145	27	,	,	PUNCT
alkej-733	145	28	a	a	DET
alkej-733	145	29	cpu	cpu	NOUN
alkej-733	145	30	was	be	AUX
alkej-733	145	31	also	also	ADV
alkej-733	145	32	needed	need	VERB
alkej-733	145	33	to	to	PART
alkej-733	145	34	perform	perform	VERB
alkej-733	145	35	data	datum	NOUN
alkej-733	145	36	augmentation	augmentation	NOUN
alkej-733	145	37	processes	process	NOUN
alkej-733	145	38	.	.	PUNCT
alkej-733	146	1	the	the	DET
alkej-733	146	2	used	use	VERB
alkej-733	146	3	gpu	gpu	NOUN
alkej-733	146	4	was	be	AUX
alkej-733	146	5	nvidia	nvidia	PROPN
alkej-733	146	6	geforce	geforce	NOUN
alkej-733	146	7	gtx	gtx	PROPN
alkej-733	146	8	1660ti	1660ti	PROPN
alkej-733	146	9	(	(	PUNCT
alkej-733	146	10	6	6	NUM
alkej-733	146	11	gb	gb	NOUN
alkej-733	146	12	)	)	PUNCT
alkej-733	146	13	and	and	CCONJ
alkej-733	146	14	the	the	DET
alkej-733	146	15	cpu	cpu	NOUN
alkej-733	146	16	was	be	AUX
alkej-733	146	17	intel	intel	PROPN
alkej-733	146	18	core	core	NOUN
alkej-733	146	19	i7	i7	NOUN
alkej-733	146	20	-	-	PUNCT
alkej-733	146	21	9750h	9750h	NUM
alkej-733	146	22	.	.	PUNCT
alkej-733	147	1	ahmed	ahmed	PROPN
alkej-733	147	2	najah	najah	PROPN
alkej-733	147	3	al	al	PROPN
alkej-733	147	4	-	-	PUNCT
alkej-733	147	5	khwarizmi	khwarizmi	PROPN
alkej-733	147	6	engineering	engineering	NOUN
alkej-733	147	7	journal	journal	PROPN
alkej-733	147	8	,	,	PUNCT
alkej-733	147	9	vol	vol	NOUN
alkej-733	147	10	.	.	PROPN
alkej-733	147	11	17	17	NUM
alkej-733	147	12	,	,	PUNCT
alkej-733	147	13	no	no	INTJ
alkej-733	147	14	.	.	NOUN
alkej-733	147	15	1	1	NUM
alkej-733	147	16	,	,	PUNCT
alkej-733	147	17	p.p	p.p	PROPN
alkej-733	147	18	.	.	PROPN
alkej-733	147	19	1118	1118	NUM
alkej-733	147	20	(	(	PUNCT
alkej-733	147	21	2021	2021	NUM
alkej-733	147	22	)	)	PUNCT
alkej-733	147	23	7	7	NUM
alkej-733	147	24	3.2	3.2	NUM
alkej-733	147	25	model	model	NOUN
alkej-733	147	26	evaluation	evaluation	NOUN
alkej-733	147	27	following	follow	VERB
alkej-733	147	28	the	the	DET
alkej-733	147	29	training	training	NOUN
alkej-733	147	30	and	and	CCONJ
alkej-733	147	31	validation	validation	NOUN
alkej-733	147	32	stage	stage	NOUN
alkej-733	147	33	,	,	PUNCT
alkej-733	147	34	a	a	DET
alkej-733	147	35	final	final	ADJ
alkej-733	147	36	test	test	NOUN
alkej-733	147	37	stage	stage	NOUN
alkej-733	147	38	is	be	AUX
alkej-733	147	39	mandatory	mandatory	ADJ
alkej-733	147	40	to	to	PART
alkej-733	147	41	confirm	confirm	VERB
alkej-733	147	42	the	the	DET
alkej-733	147	43	success	success	NOUN
alkej-733	147	44	of	of	ADP
alkej-733	147	45	the	the	DET
alkej-733	147	46	training	training	NOUN
alkej-733	147	47	.	.	PUNCT
alkej-733	148	1	the	the	DET
alkej-733	148	2	system	system	NOUN
alkej-733	148	3	had	have	VERB
alkej-733	148	4	to	to	PART
alkej-733	148	5	be	be	AUX
alkej-733	148	6	tested	test	VERB
alkej-733	148	7	to	to	PART
alkej-733	148	8	evaluate	evaluate	VERB
alkej-733	148	9	its	its	PRON
alkej-733	148	10	performance	performance	NOUN
alkej-733	148	11	with	with	ADP
alkej-733	148	12	new	new	ADJ
alkej-733	148	13	data	datum	NOUN
alkej-733	148	14	,	,	PUNCT
alkej-733	148	15	in	in	ADP
alkej-733	148	16	the	the	DET
alkej-733	148	17	sense	sense	NOUN
alkej-733	148	18	that	that	SCONJ
alkej-733	148	19	the	the	DET
alkej-733	148	20	model	model	NOUN
alkej-733	148	21	should	should	AUX
alkej-733	148	22	be	be	AUX
alkej-733	148	23	able	able	ADJ
alkej-733	148	24	to	to	PART
alkej-733	148	25	classify	classify	VERB
alkej-733	148	26	unseen	unseen	ADJ
alkej-733	148	27	gear	gear	NOUN
alkej-733	148	28	images	image	NOUN
alkej-733	148	29	,	,	PUNCT
alkej-733	148	30	as	as	SCONJ
alkej-733	148	31	it	it	PRON
alkej-733	148	32	was	be	AUX
alkej-733	148	33	trained	train	VERB
alkej-733	148	34	to	to	PART
alkej-733	148	35	identify	identify	VERB
alkej-733	148	36	the	the	DET
alkej-733	148	37	damaged	damage	VERB
alkej-733	148	38	gears	gear	NOUN
alkej-733	148	39	from	from	ADP
alkej-733	148	40	the	the	DET
alkej-733	148	41	ones	one	NOUN
alkej-733	148	42	in	in	ADP
alkej-733	148	43	a	a	DET
alkej-733	148	44	healthy	healthy	ADJ
alkej-733	148	45	condition	condition	NOUN
alkej-733	148	46	.	.	PUNCT
alkej-733	149	1	therefore	therefore	ADV
alkej-733	149	2	,	,	PUNCT
alkej-733	149	3	to	to	PART
alkej-733	149	4	perform	perform	VERB
alkej-733	149	5	the	the	DET
alkej-733	149	6	evaluation	evaluation	NOUN
alkej-733	149	7	,	,	PUNCT
alkej-733	149	8	30	30	NUM
alkej-733	149	9	colored	colored	ADJ
alkej-733	149	10	images	image	NOUN
alkej-733	149	11	(	(	PUNCT
alkej-733	149	12	rgb	rgb	PROPN
alkej-733	149	13	)	)	PUNCT
alkej-733	149	14	were	be	AUX
alkej-733	149	15	captured	capture	VERB
alkej-733	149	16	by	by	ADP
alkej-733	149	17	3	3	NUM
alkej-733	149	18	different	different	ADJ
alkej-733	149	19	cameras	camera	NOUN
alkej-733	149	20	with	with	ADP
alkej-733	149	21	differing	differ	VERB
alkej-733	149	22	resolutions	resolution	NOUN
alkej-733	149	23	of	of	ADP
alkej-733	149	24	24	24	NUM
alkej-733	149	25	,	,	PUNCT
alkej-733	149	26	8	8	NUM
alkej-733	149	27	and	and	CCONJ
alkej-733	149	28	5	5	NUM
alkej-733	149	29	mega	mega	NOUN
alkej-733	149	30	-	-	NOUN
alkej-733	149	31	pixels	pixel	NOUN
alkej-733	149	32	,	,	PUNCT
alkej-733	149	33	to	to	PART
alkej-733	149	34	test	test	VERB
alkej-733	149	35	the	the	DET
alkej-733	149	36	model	model	NOUN
alkej-733	149	37	classification	classification	NOUN
alkej-733	149	38	accuracy	accuracy	NOUN
alkej-733	149	39	.	.	PUNCT
alkej-733	150	1	moreover	moreover	ADV
alkej-733	150	2	,	,	PUNCT
alkej-733	150	3	12	12	NUM
alkej-733	150	4	grayscale	grayscale	NOUN
alkej-733	150	5	images	image	NOUN
alkej-733	150	6	were	be	AUX
alkej-733	150	7	also	also	ADV
alkej-733	150	8	tested	test	VERB
alkej-733	150	9	to	to	PART
alkej-733	150	10	explore	explore	VERB
alkej-733	150	11	the	the	DET
alkej-733	150	12	model	model	NOUN
alkej-733	150	13	versatility	versatility	NOUN
alkej-733	150	14	with	with	ADP
alkej-733	150	15	images	image	NOUN
alkej-733	150	16	.	.	PUNCT
alkej-733	151	1	the	the	DET
alkej-733	151	2	whole	whole	ADJ
alkej-733	151	3	process	process	NOUN
alkej-733	151	4	was	be	AUX
alkej-733	151	5	carried	carry	VERB
alkej-733	151	6	out	out	ADP
alkej-733	151	7	in	in	ADP
alkej-733	151	8	the	the	DET
alkej-733	151	9	same	same	ADJ
alkej-733	151	10	“	"	PUNCT
alkej-733	151	11	jupyter	jupyter	ADJ
alkej-733	151	12	notebook	notebook	NOUN
alkej-733	151	13	”	"	PUNCT
alkej-733	151	14	environment	environment	NOUN
alkej-733	151	15	,	,	PUNCT
alkej-733	151	16	using	use	VERB
alkej-733	151	17	python	python	NOUN
alkej-733	151	18	to	to	PART
alkej-733	151	19	upload	upload	VERB
alkej-733	151	20	and	and	CCONJ
alkej-733	151	21	initiate	initiate	VERB
alkej-733	151	22	the	the	DET
alkej-733	151	23	model	model	NOUN
alkej-733	151	24	,	,	PUNCT
alkej-733	151	25	in	in	ADP
alkej-733	151	26	addition	addition	NOUN
alkej-733	151	27	to	to	ADP
alkej-733	151	28	building	build	VERB
alkej-733	151	29	a	a	DET
alkej-733	151	30	function	function	NOUN
alkej-733	151	31	to	to	PART
alkej-733	151	32	convert	convert	VERB
alkej-733	151	33	the	the	DET
alkej-733	151	34	inserted	insert	VERB
alkej-733	151	35	images	image	NOUN
alkej-733	151	36	’	'	PUNCT
alkej-733	151	37	size	size	NOUN
alkej-733	151	38	to	to	ADP
alkej-733	151	39	the	the	DET
alkej-733	151	40	standard	standard	ADJ
alkej-733	151	41	densenet121	densenet121	PROPN
alkej-733	151	42	’s	’s	PART
alkej-733	151	43	(	(	PUNCT
alkej-733	151	44	224	224	NUM
alkej-733	151	45	×	×	NOUN
alkej-733	151	46	224	224	NUM
alkej-733	151	47	)	)	PUNCT
alkej-733	151	48	pixels	pixel	NOUN
alkej-733	151	49	.	.	PUNCT
alkej-733	152	1	4	4	X
alkej-733	152	2	.	.	X
alkej-733	152	3	experimental	experimental	ADJ
alkej-733	152	4	results	result	NOUN
alkej-733	152	5	experiments	experiment	NOUN
alkej-733	152	6	have	have	AUX
alkej-733	152	7	been	be	AUX
alkej-733	152	8	performed	perform	VERB
alkej-733	152	9	to	to	PART
alkej-733	152	10	select	select	VERB
alkej-733	152	11	the	the	DET
alkej-733	152	12	proper	proper	ADJ
alkej-733	152	13	model	model	NOUN
alkej-733	152	14	for	for	ADP
alkej-733	152	15	transfer	transfer	NOUN
alkej-733	152	16	learning	learning	NOUN
alkej-733	152	17	,	,	PUNCT
alkej-733	152	18	and	and	CCONJ
alkej-733	152	19	to	to	PART
alkej-733	152	20	show	show	VERB
alkej-733	152	21	how	how	SCONJ
alkej-733	152	22	it	it	PRON
alkej-733	152	23	is	be	AUX
alkej-733	152	24	more	more	ADV
alkej-733	152	25	suitable	suitable	ADJ
alkej-733	152	26	for	for	ADP
alkej-733	152	27	small	small	ADJ
alkej-733	152	28	datasets	dataset	NOUN
alkej-733	152	29	.	.	PUNCT
alkej-733	153	1	moreover	moreover	ADV
alkej-733	153	2	,	,	PUNCT
alkej-733	153	3	system	system	NOUN
alkej-733	153	4	assessment	assessment	NOUN
alkej-733	153	5	has	have	AUX
alkej-733	153	6	also	also	ADV
alkej-733	153	7	been	be	AUX
alkej-733	153	8	done	do	VERB
alkej-733	153	9	to	to	PART
alkej-733	153	10	explore	explore	VERB
alkej-733	153	11	its	its	PRON
alkej-733	153	12	limitations	limitation	NOUN
alkej-733	153	13	and	and	CCONJ
alkej-733	153	14	are	be	AUX
alkej-733	153	15	all	all	PRON
alkej-733	153	16	shown	show	VERB
alkej-733	153	17	in	in	ADP
alkej-733	153	18	the	the	DET
alkej-733	153	19	following	follow	VERB
alkej-733	153	20	sections	section	NOUN
alkej-733	153	21	.	.	PUNCT
alkej-733	154	1	4.1	4.1	NUM
alkej-733	154	2	training	training	NOUN
alkej-733	154	3	results	result	VERB
alkej-733	154	4	the	the	DET
alkej-733	154	5	trials	trial	NOUN
alkej-733	154	6	results	result	NOUN
alkej-733	154	7	showed	show	VERB
alkej-733	154	8	how	how	SCONJ
alkej-733	154	9	using	use	VERB
alkej-733	154	10	transfer	transfer	NOUN
alkej-733	154	11	learning	learning	NOUN
alkej-733	154	12	can	can	AUX
alkej-733	154	13	achieve	achieve	VERB
alkej-733	154	14	a	a	DET
alkej-733	154	15	better	well	ADJ
alkej-733	154	16	performance	performance	NOUN
alkej-733	154	17	than	than	ADP
alkej-733	154	18	building	build	VERB
alkej-733	154	19	a	a	DET
alkej-733	154	20	model	model	NOUN
alkej-733	154	21	from	from	ADP
alkej-733	154	22	scratch	scratch	NOUN
alkej-733	154	23	,	,	PUNCT
alkej-733	154	24	in	in	ADP
alkej-733	154	25	terms	term	NOUN
alkej-733	154	26	of	of	ADP
alkej-733	154	27	easier	easy	ADJ
alkej-733	154	28	implementation	implementation	NOUN
alkej-733	154	29	.	.	PUNCT
alkej-733	155	1	moreover	moreover	ADV
alkej-733	155	2	,	,	PUNCT
alkej-733	155	3	several	several	ADJ
alkej-733	155	4	encountered	encounter	VERB
alkej-733	155	5	issues	issue	NOUN
alkej-733	155	6	were	be	AUX
alkej-733	155	7	observed	observe	VERB
alkej-733	155	8	from	from	ADP
alkej-733	155	9	the	the	DET
alkej-733	155	10	trials	trial	NOUN
alkej-733	155	11	that	that	PRON
alkej-733	155	12	could	could	AUX
alkej-733	155	13	be	be	AUX
alkej-733	155	14	discussed	discuss	VERB
alkej-733	155	15	.	.	PUNCT
alkej-733	156	1	firstly	firstly	ADV
alkej-733	156	2	,	,	PUNCT
alkej-733	156	3	the	the	DET
alkej-733	156	4	issue	issue	NOUN
alkej-733	156	5	of	of	ADP
alkej-733	156	6	training	training	NOUN
alkej-733	156	7	time	time	NOUN
alkej-733	156	8	,	,	PUNCT
alkej-733	156	9	which	which	PRON
alkej-733	156	10	was	be	AUX
alkej-733	156	11	resolved	resolve	VERB
alkej-733	156	12	using	use	VERB
alkej-733	156	13	more	more	ADV
alkej-733	156	14	powerful	powerful	ADJ
alkej-733	156	15	hardware	hardware	NOUN
alkej-733	156	16	.	.	PUNCT
alkej-733	157	1	and	and	CCONJ
alkej-733	157	2	that	that	PRON
alkej-733	157	3	is	be	AUX
alkej-733	157	4	one	one	NUM
alkej-733	157	5	of	of	ADP
alkej-733	157	6	the	the	DET
alkej-733	157	7	drawbacks	drawback	NOUN
alkej-733	157	8	of	of	ADP
alkej-733	157	9	dl	dl	NOUN
alkej-733	157	10	,	,	PUNCT
alkej-733	157	11	in	in	ADP
alkej-733	157	12	which	which	PRON
alkej-733	157	13	larger	large	ADJ
alkej-733	157	14	systems	system	NOUN
alkej-733	157	15	would	would	AUX
alkej-733	157	16	require	require	VERB
alkej-733	157	17	stronger	strong	ADJ
alkej-733	157	18	gpus	gpu	NOUN
alkej-733	157	19	to	to	PART
alkej-733	157	20	train	train	VERB
alkej-733	157	21	at	at	ADP
alkej-733	157	22	a	a	DET
alkej-733	157	23	reasonable	reasonable	ADJ
alkej-733	157	24	rate	rate	NOUN
alkej-733	157	25	.	.	PUNCT
alkej-733	158	1	but	but	CCONJ
alkej-733	158	2	this	this	DET
alkej-733	158	3	problem	problem	NOUN
alkej-733	158	4	can	can	AUX
alkej-733	158	5	still	still	ADV
alkej-733	158	6	be	be	AUX
alkej-733	158	7	avoided	avoid	VERB
alkej-733	158	8	by	by	ADP
alkej-733	158	9	using	use	VERB
alkej-733	158	10	online	online	ADJ
alkej-733	158	11	cloud	cloud	NOUN
alkej-733	158	12	services	service	NOUN
alkej-733	158	13	like	like	ADP
alkej-733	158	14	(	(	PUNCT
alkej-733	158	15	alibaba	alibaba	PROPN
alkej-733	158	16	,	,	PUNCT
alkej-733	158	17	aws	aws	PROPN
alkej-733	158	18	,	,	PUNCT
alkej-733	158	19	google	google	PROPN
alkej-733	158	20	colab	colab	PROPN
alkej-733	158	21	…	…	SYM
alkej-733	158	22	etc	etc	X
alkej-733	158	23	.	.	X
alkej-733	158	24	)	)	PUNCT
alkej-733	158	25	that	that	PRON
alkej-733	158	26	provide	provide	VERB
alkej-733	158	27	development	development	NOUN
alkej-733	158	28	environments	environment	NOUN
alkej-733	158	29	.	.	PUNCT
alkej-733	159	1	the	the	DET
alkej-733	159	2	second	second	ADJ
alkej-733	159	3	issue	issue	NOUN
alkej-733	159	4	is	be	AUX
alkej-733	159	5	the	the	DET
alkej-733	159	6	high	high	ADJ
alkej-733	159	7	divergence	divergence	NOUN
alkej-733	159	8	between	between	ADP
alkej-733	159	9	the	the	DET
alkej-733	159	10	losses	loss	NOUN
alkej-733	159	11	of	of	ADP
alkej-733	159	12	training	training	NOUN
alkej-733	159	13	and	and	CCONJ
alkej-733	159	14	validation	validation	NOUN
alkej-733	159	15	,	,	PUNCT
alkej-733	159	16	which	which	PRON
alkej-733	159	17	convey	convey	VERB
alkej-733	159	18	the	the	DET
alkej-733	159	19	significance	significance	NOUN
alkej-733	159	20	of	of	ADP
alkej-733	159	21	the	the	DET
alkej-733	159	22	occurring	occur	VERB
alkej-733	159	23	overfitting	overfitting	NOUN
alkej-733	159	24	(	(	PUNCT
alkej-733	159	25	as	as	SCONJ
alkej-733	159	26	shown	show	VERB
alkej-733	159	27	in	in	ADP
alkej-733	159	28	fig	fig	NOUN
alkej-733	159	29	.	.	PUNCT
alkej-733	160	1	6	6	NUM
alkej-733	160	2	)	)	PUNCT
alkej-733	160	3	,	,	PUNCT
alkej-733	160	4	and	and	CCONJ
alkej-733	160	5	also	also	ADV
alkej-733	160	6	that	that	SCONJ
alkej-733	160	7	the	the	DET
alkej-733	160	8	model	model	NOUN
alkej-733	160	9	is	be	AUX
alkej-733	160	10	becoming	becoming	AUX
alkej-733	160	11	stuck	stick	VERB
alkej-733	160	12	at	at	ADP
alkej-733	160	13	local	local	ADJ
alkej-733	160	14	minimum	minimum	ADJ
alkej-733	160	15	points	point	NOUN
alkej-733	160	16	.	.	PUNCT
alkej-733	161	1	this	this	PRON
alkej-733	161	2	is	be	AUX
alkej-733	161	3	a	a	DET
alkej-733	161	4	common	common	ADJ
alkej-733	161	5	issue	issue	NOUN
alkej-733	161	6	when	when	SCONJ
alkej-733	161	7	dealing	deal	VERB
alkej-733	161	8	with	with	ADP
alkej-733	161	9	neural	neural	ADJ
alkej-733	161	10	networks	network	NOUN
alkej-733	161	11	,	,	PUNCT
alkej-733	161	12	especially	especially	ADV
alkej-733	161	13	with	with	ADP
alkej-733	161	14	insufficient	insufficient	ADJ
alkej-733	161	15	data	datum	NOUN
alkej-733	161	16	,	,	PUNCT
alkej-733	161	17	the	the	DET
alkej-733	161	18	network	network	NOUN
alkej-733	161	19	fails	fail	VERB
alkej-733	161	20	to	to	PART
alkej-733	161	21	generalize	generalize	VERB
alkej-733	161	22	to	to	ADP
alkej-733	161	23	the	the	DET
alkej-733	161	24	validation	validation	NOUN
alkej-733	161	25	set	set	NOUN
alkej-733	161	26	which	which	PRON
alkej-733	161	27	means	mean	VERB
alkej-733	161	28	the	the	DET
alkej-733	161	29	model	model	NOUN
alkej-733	161	30	will	will	AUX
alkej-733	161	31	not	not	PART
alkej-733	161	32	be	be	AUX
alkej-733	161	33	able	able	ADJ
alkej-733	161	34	to	to	PART
alkej-733	161	35	identify	identify	VERB
alkej-733	161	36	unseen	unseen	ADJ
alkej-733	161	37	information	information	NOUN
alkej-733	161	38	.	.	PUNCT
alkej-733	162	1	a	a	DET
alkej-733	162	2	bundle	bundle	NOUN
alkej-733	162	3	of	of	ADP
alkej-733	162	4	solutions	solution	NOUN
alkej-733	162	5	distributed	distribute	VERB
alkej-733	162	6	separately	separately	ADV
alkej-733	162	7	and	and	CCONJ
alkej-733	162	8	combined	combine	VERB
alkej-733	162	9	within	within	ADP
alkej-733	162	10	trials	trial	NOUN
alkej-733	162	11	were	be	AUX
alkej-733	162	12	used	use	VERB
alkej-733	162	13	to	to	PART
alkej-733	162	14	prevent	prevent	VERB
alkej-733	162	15	overtraining	overtraining	NOUN
alkej-733	162	16	.	.	PUNCT
alkej-733	163	1	the	the	DET
alkej-733	163	2	effect	effect	NOUN
alkej-733	163	3	of	of	ADP
alkej-733	163	4	the	the	DET
alkej-733	163	5	used	use	VERB
alkej-733	163	6	methods	method	NOUN
alkej-733	163	7	like	like	ADP
alkej-733	163	8	data	datum	NOUN
alkej-733	163	9	augmentation	augmentation	NOUN
alkej-733	163	10	and	and	CCONJ
alkej-733	163	11	dropout	dropout	NOUN
alkej-733	163	12	was	be	AUX
alkej-733	163	13	observed	observe	VERB
alkej-733	163	14	throughout	throughout	ADP
alkej-733	163	15	the	the	DET
alkej-733	163	16	trials	trial	NOUN
alkej-733	163	17	,	,	PUNCT
alkej-733	163	18	as	as	ADP
alkej-733	163	19	the	the	DET
alkej-733	163	20	reduction	reduction	NOUN
alkej-733	163	21	of	of	ADP
alkej-733	163	22	training	training	NOUN
alkej-733	163	23	parameters	parameter	NOUN
alkej-733	163	24	and	and	CCONJ
alkej-733	163	25	the	the	DET
alkej-733	163	26	addition	addition	NOUN
alkej-733	163	27	of	of	ADP
alkej-733	163	28	dummy	dummy	ADJ
alkej-733	163	29	data	datum	NOUN
alkej-733	163	30	contributed	contribute	VERB
alkej-733	163	31	in	in	ADP
alkej-733	163	32	minimizing	minimize	VERB
alkej-733	163	33	the	the	DET
alkej-733	163	34	cost	cost	NOUN
alkej-733	163	35	function	function	NOUN
alkej-733	163	36	.	.	PUNCT
alkej-733	164	1	fig	fig	NOUN
alkej-733	164	2	.	.	PUNCT
alkej-733	165	1	6	6	NUM
alkej-733	165	2	.	.	X
alkej-733	165	3	using	use	VERB
alkej-733	165	4	vgg16	vgg16	NOUN
alkej-733	165	5	model	model	NOUN
alkej-733	165	6	in	in	ADP
alkej-733	165	7	trial	trial	NOUN
alkej-733	165	8	2	2	NUM
alkej-733	165	9	.	.	PUNCT
alkej-733	166	1	last	last	ADJ
alkej-733	166	2	issue	issue	NOUN
alkej-733	166	3	encountered	encounter	VERB
alkej-733	166	4	was	be	AUX
alkej-733	166	5	selecting	select	VERB
alkej-733	166	6	the	the	DET
alkej-733	166	7	proper	proper	ADJ
alkej-733	166	8	architecture	architecture	NOUN
alkej-733	166	9	.	.	PUNCT
alkej-733	167	1	pre	pre	VERB
alkej-733	167	2	-	-	ADJ
alkej-733	167	3	trained	train	VERB
alkej-733	167	4	models	model	NOUN
alkej-733	167	5	that	that	PRON
alkej-733	167	6	were	be	AUX
alkej-733	167	7	used	use	VERB
alkej-733	167	8	like	like	ADP
alkej-733	167	9	xception	xception	NOUN
alkej-733	167	10	,	,	PUNCT
alkej-733	167	11	vgg16	vgg16	NOUN
alkej-733	167	12	and	and	CCONJ
alkej-733	167	13	resnet50	resnet50	NOUN
alkej-733	167	14	failed	fail	VERB
alkej-733	167	15	to	to	PART
alkej-733	167	16	provide	provide	VERB
alkej-733	167	17	the	the	DET
alkej-733	167	18	desired	desire	VERB
alkej-733	167	19	performance	performance	NOUN
alkej-733	167	20	;	;	PUNCT
alkej-733	167	21	as	as	SCONJ
alkej-733	167	22	not	not	PART
alkej-733	167	23	every	every	DET
alkej-733	167	24	pre	pre	ADJ
alkej-733	167	25	-	-	ADJ
alkej-733	167	26	trained	train	VERB
alkej-733	167	27	model	model	NOUN
alkej-733	167	28	can	can	AUX
alkej-733	167	29	be	be	AUX
alkej-733	167	30	used	use	VERB
alkej-733	167	31	in	in	ADP
alkej-733	167	32	transfer	transfer	NOUN
alkej-733	167	33	learning	learning	NOUN
alkej-733	167	34	for	for	ADP
alkej-733	167	35	a	a	DET
alkej-733	167	36	custom	custom	NOUN
alkej-733	167	37	target	target	NOUN
alkej-733	167	38	dataset	dataset	NOUN
alkej-733	167	39	.	.	PUNCT
alkej-733	168	1	the	the	DET
alkej-733	168	2	proper	proper	ADJ
alkej-733	168	3	model	model	NOUN
alkej-733	168	4	can	can	AUX
alkej-733	168	5	either	either	CCONJ
alkej-733	168	6	be	be	AUX
alkej-733	168	7	selected	select	VERB
alkej-733	168	8	by	by	ADP
alkej-733	168	9	tediously	tediously	ADV
alkej-733	168	10	testing	test	VERB
alkej-733	168	11	several	several	ADJ
alkej-733	168	12	architectures	architecture	NOUN
alkej-733	168	13	or	or	CCONJ
alkej-733	168	14	by	by	ADP
alkej-733	168	15	using	use	VERB
alkej-733	168	16	a	a	DET
alkej-733	168	17	selection	selection	NOUN
alkej-733	168	18	technique	technique	NOUN
alkej-733	168	19	like	like	ADP
alkej-733	168	20	the	the	DET
alkej-733	168	21	one	one	NOUN
alkej-733	168	22	proposed	propose	VERB
alkej-733	168	23	in	in	ADP
alkej-733	168	24	[	[	X
alkej-733	168	25	41	41	NUM
alkej-733	168	26	]	]	PUNCT
alkej-733	168	27	.	.	PUNCT
alkej-733	169	1	ahmed	ahmed	PROPN
alkej-733	169	2	najah	najah	PROPN
alkej-733	169	3	al	al	PROPN
alkej-733	169	4	-	-	PUNCT
alkej-733	169	5	khwarizmi	khwarizmi	PROPN
alkej-733	169	6	engineering	engineering	NOUN
alkej-733	169	7	journal	journal	PROPN
alkej-733	169	8	,	,	PUNCT
alkej-733	169	9	vol	vol	NOUN
alkej-733	169	10	.	.	PROPN
alkej-733	169	11	17	17	NUM
alkej-733	169	12	,	,	PUNCT
alkej-733	169	13	no	no	INTJ
alkej-733	169	14	.	.	NOUN
alkej-733	169	15	1	1	NUM
alkej-733	169	16	,	,	PUNCT
alkej-733	169	17	p.p	p.p	PROPN
alkej-733	169	18	.	.	PROPN
alkej-733	169	19	1118	1118	NUM
alkej-733	169	20	(	(	PUNCT
alkej-733	169	21	2021	2021	NUM
alkej-733	169	22	)	)	PUNCT
alkej-733	169	23	8	8	NUM
alkej-733	170	1	it	it	PRON
alkej-733	170	2	was	be	AUX
alkej-733	170	3	observed	observe	VERB
alkej-733	170	4	from	from	ADP
alkej-733	170	5	trial	trial	NOUN
alkej-733	170	6	14	14	NUM
alkej-733	170	7	and	and	CCONJ
alkej-733	170	8	up	up	ADV
alkej-733	170	9	that	that	PRON
alkej-733	170	10	tweaking	tweak	VERB
alkej-733	170	11	the	the	DET
alkej-733	170	12	hyperparameters	hyperparameter	NOUN
alkej-733	170	13	was	be	AUX
alkej-733	170	14	improving	improve	VERB
alkej-733	170	15	the	the	DET
alkej-733	170	16	model	model	NOUN
alkej-733	170	17	,	,	PUNCT
alkej-733	170	18	especially	especially	ADV
alkej-733	170	19	with	with	ADP
alkej-733	170	20	the	the	DET
alkej-733	170	21	densenet121	densenet121	PROPN
alkej-733	170	22	model	model	NOUN
alkej-733	170	23	,	,	PUNCT
alkej-733	170	24	as	as	SCONJ
alkej-733	170	25	the	the	DET
alkej-733	170	26	model	model	NOUN
alkej-733	170	27	showed	show	VERB
alkej-733	170	28	a	a	DET
alkej-733	170	29	noticeable	noticeable	ADJ
alkej-733	170	30	enhancement	enhancement	NOUN
alkej-733	170	31	,	,	PUNCT
alkej-733	170	32	conveying	convey	VERB
alkej-733	170	33	the	the	DET
alkej-733	170	34	effect	effect	NOUN
alkej-733	170	35	of	of	ADP
alkej-733	170	36	the	the	DET
alkej-733	170	37	used	use	VERB
alkej-733	170	38	architecture	architecture	NOUN
alkej-733	170	39	and	and	CCONJ
alkej-733	170	40	the	the	DET
alkej-733	170	41	importance	importance	NOUN
alkej-733	170	42	of	of	ADP
alkej-733	170	43	selecting	select	VERB
alkej-733	170	44	the	the	DET
alkej-733	170	45	proper	proper	ADJ
alkej-733	170	46	one	one	NUM
alkej-733	170	47	.	.	PUNCT
alkej-733	171	1	trial	trial	NOUN
alkej-733	171	2	18	18	NUM
alkej-733	171	3	,	,	PUNCT
alkej-733	171	4	reflected	reflect	VERB
alkej-733	171	5	an	an	DET
alkej-733	171	6	outstanding	outstanding	ADJ
alkej-733	171	7	performance	performance	NOUN
alkej-733	171	8	with	with	ADP
alkej-733	171	9	98.43	98.43	NUM
alkej-733	171	10	%	%	NOUN
alkej-733	171	11	validation	validation	NOUN
alkej-733	171	12	accuracy	accuracy	NOUN
alkej-733	171	13	and	and	CCONJ
alkej-733	171	14	high	high	ADJ
alkej-733	171	15	convergence	convergence	NOUN
alkej-733	171	16	between	between	ADP
alkej-733	171	17	the	the	DET
alkej-733	171	18	training	training	NOUN
alkej-733	171	19	and	and	CCONJ
alkej-733	171	20	the	the	DET
alkej-733	171	21	validations	validation	NOUN
alkej-733	171	22	losses	loss	NOUN
alkej-733	171	23	(	(	PUNCT
alkej-733	171	24	as	as	SCONJ
alkej-733	171	25	shown	show	VERB
alkej-733	171	26	in	in	ADP
alkej-733	171	27	fig	fig	NOUN
alkej-733	171	28	.	.	PUNCT
alkej-733	172	1	7	7	NUM
alkej-733	172	2	)	)	PUNCT
alkej-733	172	3	,	,	PUNCT
alkej-733	172	4	that	that	PRON
alkej-733	172	5	means	mean	VERB
alkej-733	172	6	that	that	SCONJ
alkej-733	172	7	the	the	DET
alkej-733	172	8	network	network	NOUN
alkej-733	172	9	was	be	AUX
alkej-733	172	10	able	able	ADJ
alkej-733	172	11	to	to	PART
alkej-733	172	12	converge	converge	VERB
alkej-733	172	13	towards	towards	ADP
alkej-733	172	14	the	the	DET
alkej-733	172	15	global	global	ADJ
alkej-733	172	16	minimum	minimum	NOUN
alkej-733	172	17	point	point	NOUN
alkej-733	172	18	.	.	PUNCT
alkej-733	173	1	fig	fig	NOUN
alkej-733	173	2	.	.	PUNCT
alkej-733	174	1	7	7	X
alkej-733	174	2	.	.	X
alkej-733	174	3	using	use	VERB
alkej-733	174	4	densenet121	densenet121	PROPN
alkej-733	174	5	model	model	NOUN
alkej-733	174	6	in	in	ADP
alkej-733	174	7	trial	trial	NOUN
alkej-733	174	8	18	18	NUM
alkej-733	174	9	.	.	PUNCT
alkej-733	174	10	4.2	4.2	NUM
alkej-733	174	11	evaluation	evaluation	NOUN
alkej-733	174	12	results	result	VERB
alkej-733	174	13	a.	a.	NOUN
alkej-733	174	14	colored	color	VERB
alkej-733	174	15	images	image	NOUN
alkej-733	174	16	(	(	PUNCT
alkej-733	174	17	rgb	rgb	PROPN
alkej-733	174	18	)	)	PUNCT
alkej-733	174	19	to	to	PART
alkej-733	174	20	evaluate	evaluate	VERB
alkej-733	174	21	the	the	DET
alkej-733	174	22	model	model	NOUN
alkej-733	174	23	,	,	PUNCT
alkej-733	174	24	and	and	CCONJ
alkej-733	174	25	test	test	VERB
alkej-733	174	26	its	its	PRON
alkej-733	174	27	ability	ability	NOUN
alkej-733	174	28	to	to	PART
alkej-733	174	29	distinguish	distinguish	VERB
alkej-733	174	30	the	the	DET
alkej-733	174	31	damaged	damage	VERB
alkej-733	174	32	gears	gear	NOUN
alkej-733	174	33	from	from	ADP
alkej-733	174	34	the	the	DET
alkej-733	174	35	ones	one	NOUN
alkej-733	174	36	in	in	ADP
alkej-733	174	37	a	a	DET
alkej-733	174	38	healthy	healthy	ADJ
alkej-733	174	39	condition	condition	NOUN
alkej-733	174	40	,	,	PUNCT
alkej-733	174	41	it	it	PRON
alkej-733	174	42	was	be	AUX
alkej-733	174	43	mandatory	mandatory	ADJ
alkej-733	174	44	to	to	PART
alkej-733	174	45	be	be	AUX
alkej-733	174	46	tested	test	VERB
alkej-733	174	47	on	on	ADP
alkej-733	174	48	unseen	unseen	ADJ
alkej-733	174	49	images	image	NOUN
alkej-733	174	50	;	;	PUNCT
alkej-733	174	51	and	and	CCONJ
alkej-733	174	52	observe	observe	VERB
alkej-733	174	53	how	how	SCONJ
alkej-733	174	54	accurately	accurately	ADV
alkej-733	174	55	it	it	PRON
alkej-733	174	56	will	will	AUX
alkej-733	174	57	perform	perform	VERB
alkej-733	174	58	.	.	PUNCT
alkej-733	174	59	table	table	NOUN
alkej-733	174	60	2	2	NUM
alkej-733	174	61	,	,	PUNCT
alkej-733	174	62	illustrates	illustrate	VERB
alkej-733	174	63	the	the	DET
alkej-733	174	64	model	model	NOUN
alkej-733	174	65	evaluation	evaluation	NOUN
alkej-733	174	66	results	result	NOUN
alkej-733	174	67	.	.	PUNCT
alkej-733	175	1	no	no	INTJ
alkej-733	175	2	.	.	NOUN
alkej-733	175	3	24	24	NUM
alkej-733	175	4	mega	mega	NOUN
alkej-733	175	5	-	-	NOUN
alkej-733	175	6	pixels	pixel	NOUN
alkej-733	175	7	8	8	NUM
alkej-733	175	8	mega	mega	NOUN
alkej-733	175	9	-	-	NOUN
alkej-733	175	10	pixels	pixel	NOUN
alkej-733	175	11	5	5	NUM
alkej-733	175	12	megapixels	megapixel	NOUN
alkej-733	175	13	1	1	NUM
alkej-733	175	14	0.9988	0.9988	NUM
alkej-733	175	15	0.9961	0.9961	NUM
alkej-733	175	16	0.9770	0.9770	NUM
alkej-733	175	17	2	2	NUM
alkej-733	175	18	0.9786	0.9786	NUM
alkej-733	175	19	0.9763	0.9763	NUM
alkej-733	175	20	0.9957	0.9957	NUM
alkej-733	175	21	3	3	NUM
alkej-733	175	22	0.9974	0.9974	NUM
alkej-733	175	23	0.9697	0.9697	NUM
alkej-733	175	24	0.9422	0.9422	NUM
alkej-733	175	25	4	4	NUM
alkej-733	175	26	0.9951	0.9951	NUM
alkej-733	175	27	0.9907	0.9907	NUM
alkej-733	175	28	0.9602	0.9602	NUM
alkej-733	175	29	5	5	NUM
alkej-733	175	30	0.9854	0.9854	NUM
alkej-733	175	31	0.9936	0.9936	NUM
alkej-733	175	32	0.9343	0.9343	NUM
alkej-733	175	33	6	6	NUM
alkej-733	175	34	1.000	1.000	NUM
alkej-733	175	35	0.9995	0.9995	NUM
alkej-733	175	36	0.9883	0.9883	NUM
alkej-733	175	37	7	7	NUM
alkej-733	175	38	0.9931	0.9931	NUM
alkej-733	175	39	1.000	1.000	NUM
alkej-733	175	40	0.9930	0.9930	NUM
alkej-733	175	41	8	8	NUM
alkej-733	175	42	0.9959	0.9959	NUM
alkej-733	175	43	0.9966	0.9966	NUM
alkej-733	175	44	0.9914	0.9914	NUM
alkej-733	175	45	9	9	NUM
alkej-733	175	46	0.9961	0.9961	NUM
alkej-733	175	47	0.9911	0.9911	NUM
alkej-733	175	48	0.9991	0.9991	NUM
alkej-733	175	49	10	10	NUM
alkej-733	175	50	0.9801	0.9801	NUM
alkej-733	175	51	0.9914	0.9914	NUM
alkej-733	175	52	0.9985	0.9985	NUM
alkej-733	175	53	sum	sum	NOUN
alkej-733	175	54	9.9205	9.9205	NUM
alkej-733	175	55	9.9050	9.9050	NUM
alkej-733	175	56	9.7797	9.7797	NUM
alkej-733	175	57	%	%	NOUN
alkej-733	175	58	99.20	99.20	NUM
alkej-733	175	59	99.05	99.05	NUM
alkej-733	175	60	97.79	97.79	NUM
alkej-733	175	61	the	the	DET
alkej-733	175	62	accuracy	accuracy	NOUN
alkej-733	175	63	results	result	NOUN
alkej-733	175	64	shown	show	VERB
alkej-733	175	65	in	in	ADP
alkej-733	175	66	table	table	NOUN
alkej-733	175	67	2	2	NUM
alkej-733	175	68	,	,	PUNCT
alkej-733	175	69	implies	imply	VERB
alkej-733	175	70	that	that	SCONJ
alkej-733	175	71	the	the	DET
alkej-733	175	72	camera	camera	NOUN
alkej-733	175	73	resolution	resolution	NOUN
alkej-733	175	74	had	have	VERB
alkej-733	175	75	a	a	DET
alkej-733	175	76	very	very	ADV
alkej-733	175	77	small	small	ADJ
alkej-733	175	78	effect	effect	NOUN
alkej-733	175	79	on	on	ADP
alkej-733	175	80	the	the	DET
alkej-733	175	81	system	system	NOUN
alkej-733	175	82	performance	performance	NOUN
alkej-733	175	83	.	.	PUNCT
alkej-733	176	1	moreover	moreover	ADV
alkej-733	176	2	,	,	PUNCT
alkej-733	176	3	the	the	DET
alkej-733	176	4	model	model	NOUN
alkej-733	176	5	memorized	memorize	VERB
alkej-733	176	6	and	and	CCONJ
alkej-733	176	7	identified	identify	VERB
alkej-733	176	8	the	the	DET
alkej-733	176	9	object	object	NOUN
alkej-733	176	10	attributes	attribute	VERB
alkej-733	176	11	with	with	ADP
alkej-733	176	12	high	high	ADJ
alkej-733	176	13	certainty	certainty	NOUN
alkej-733	176	14	,	,	PUNCT
alkej-733	176	15	which	which	PRON
alkej-733	176	16	means	mean	VERB
alkej-733	176	17	low	low	ADJ
alkej-733	176	18	-	-	PUNCT
alkej-733	176	19	resolution	resolution	NOUN
alkej-733	176	20	cameras	camera	NOUN
alkej-733	176	21	can	can	AUX
alkej-733	176	22	be	be	AUX
alkej-733	176	23	used	use	VERB
alkej-733	176	24	for	for	ADP
alkej-733	176	25	qi	qi	NOUN
alkej-733	176	26	systems	system	NOUN
alkej-733	176	27	.	.	PUNCT
alkej-733	177	1	those	those	DET
alkej-733	177	2	cameras	camera	NOUN
alkej-733	177	3	can	can	AUX
alkej-733	177	4	be	be	AUX
alkej-733	177	5	purchased	purchase	VERB
alkej-733	177	6	at	at	ADP
alkej-733	177	7	low	low	ADJ
alkej-733	177	8	costs	cost	NOUN
alkej-733	177	9	.	.	PUNCT
alkej-733	178	1	b.	b.	PROPN
alkej-733	178	2	grayscale	grayscale	PROPN
alkej-733	178	3	images	image	VERB
alkej-733	178	4	more	more	ADJ
alkej-733	178	5	images	image	NOUN
alkej-733	178	6	were	be	AUX
alkej-733	178	7	tested	test	VERB
alkej-733	178	8	for	for	ADP
alkej-733	178	9	evaluation	evaluation	NOUN
alkej-733	178	10	(	(	PUNCT
alkej-733	178	11	table	table	NOUN
alkej-733	178	12	3	3	NUM
alkej-733	178	13	)	)	PUNCT
alkej-733	178	14	,	,	PUNCT
alkej-733	178	15	but	but	CCONJ
alkej-733	178	16	those	those	DET
alkej-733	178	17	images	image	NOUN
alkej-733	178	18	were	be	AUX
alkej-733	178	19	in	in	ADP
alkej-733	178	20	a	a	DET
alkej-733	178	21	black	black	ADJ
alkej-733	178	22	and	and	CCONJ
alkej-733	178	23	white	white	ADJ
alkej-733	178	24	format	format	NOUN
alkej-733	178	25	,	,	PUNCT
alkej-733	178	26	to	to	PART
alkej-733	178	27	see	see	VERB
alkej-733	178	28	if	if	SCONJ
alkej-733	178	29	the	the	DET
alkej-733	178	30	model	model	NOUN
alkej-733	178	31	is	be	AUX
alkej-733	178	32	susceptible	susceptible	ADJ
alkej-733	178	33	to	to	ADP
alkej-733	178	34	color	color	NOUN
alkej-733	178	35	information	information	NOUN
alkej-733	178	36	.	.	PUNCT
alkej-733	179	1	table	table	NOUN
alkej-733	179	2	3	3	NUM
alkej-733	179	3	,	,	PUNCT
alkej-733	179	4	shows	show	VERB
alkej-733	179	5	a	a	DET
alkej-733	179	6	comparison	comparison	NOUN
alkej-733	179	7	between	between	ADP
alkej-733	179	8	grayscale	grayscale	NOUN
alkej-733	179	9	and	and	CCONJ
alkej-733	179	10	rgb	rgb	PROPN
alkej-733	179	11	images	image	NOUN
alkej-733	179	12	.	.	PUNCT
alkej-733	180	1	resolution	resolution	NOUN
alkej-733	180	2	metrics	metric	NOUN
alkej-733	180	3	grayscale	grayscale	NOUN
alkej-733	180	4	(	(	PUNCT
alkej-733	180	5	%	%	INTJ
alkej-733	180	6	)	)	PUNCT
alkej-733	180	7	rgb	rgb	PROPN
alkej-733	180	8	(	(	PUNCT
alkej-733	180	9	%	%	INTJ
alkej-733	180	10	)	)	PUNCT
alkej-733	180	11	24	24	NUM
alkej-733	180	12	megapixels	megapixel	NOUN
alkej-733	180	13	accuracy	accuracy	NOUN
alkej-733	180	14	99.57	99.57	NUM
alkej-733	180	15	91.13	91.13	NUM
alkej-733	180	16	accuracy	accuracy	NOUN
alkej-733	180	17	99.78	99.78	NUM
alkej-733	180	18	99.71	99.71	NUM
alkej-733	180	19	accuracy	accuracy	NOUN
alkej-733	180	20	83.77	83.77	NUM
alkej-733	180	21	73.14	73.14	NUM
alkej-733	180	22	accuracy	accuracy	NOUN
alkej-733	180	23	93.04	93.04	NUM
alkej-733	180	24	90.15	90.15	NUM
alkej-733	180	25	8	8	NUM
alkej-733	180	26	megapixels	megapixel	NOUN
alkej-733	180	27	accuracy	accuracy	NOUN
alkej-733	180	28	99.05	99.05	NUM
alkej-733	180	29	98.46	98.46	NUM
alkej-733	180	30	accuracy	accuracy	NOUN
alkej-733	180	31	95.28	95.28	NUM
alkej-733	180	32	94.69	94.69	NUM
alkej-733	180	33	accuracy	accuracy	NOUN
alkej-733	180	34	99.90	99.90	NUM
alkej-733	180	35	99.88	99.88	NUM
alkej-733	180	36	accuracy	accuracy	NOUN
alkej-733	180	37	98.12	98.12	NUM
alkej-733	180	38	97.63	97.63	NUM
alkej-733	180	39	5	5	NUM
alkej-733	180	40	megapixels	megapixel	NOUN
alkej-733	180	41	accuracy	accuracy	NOUN
alkej-733	180	42	98.84	98.84	NUM
alkej-733	180	43	92.89	92.89	NUM
alkej-733	180	44	accuracy	accuracy	NOUN
alkej-733	180	45	95.42	95.42	NUM
alkej-733	180	46	84.82	84.82	NUM
alkej-733	180	47	accuracy	accuracy	NOUN
alkej-733	180	48	70.74	70.74	NUM
alkej-733	180	49	54.21	54.21	NUM
alkej-733	180	50	accuracy	accuracy	NOUN
alkej-733	180	51	78.46	78.46	NUM
alkej-733	180	52	61.08	61.08	NUM
alkej-733	180	53	evaluation	evaluation	NOUN
alkej-733	180	54	of	of	ADP
alkej-733	180	55	the	the	DET
alkej-733	180	56	grayscale	grayscale	NOUN
alkej-733	180	57	images	image	NOUN
alkej-733	180	58	showed	show	VERB
alkej-733	180	59	outstanding	outstanding	ADJ
alkej-733	180	60	results	result	NOUN
alkej-733	180	61	in	in	ADP
alkej-733	180	62	the	the	DET
alkej-733	180	63	accuracy	accuracy	NOUN
alkej-733	180	64	measures	measure	NOUN
alkej-733	180	65	,	,	PUNCT
alkej-733	180	66	as	as	SCONJ
alkej-733	180	67	it	it	PRON
alkej-733	180	68	can	can	AUX
alkej-733	180	69	be	be	AUX
alkej-733	180	70	seen	see	VERB
alkej-733	180	71	from	from	ADP
alkej-733	180	72	table	table	NOUN
alkej-733	180	73	3	3	NUM
alkej-733	180	74	,	,	PUNCT
alkej-733	180	75	when	when	SCONJ
alkej-733	180	76	compared	compare	VERB
alkej-733	180	77	with	with	ADP
alkej-733	180	78	the	the	DET
alkej-733	180	79	exact	exact	ADJ
alkej-733	180	80	image	image	NOUN
alkej-733	180	81	but	but	CCONJ
alkej-733	180	82	in	in	ADP
alkej-733	180	83	rgb	rgb	PROPN
alkej-733	180	84	format	format	NOUN
alkej-733	180	85	.	.	PUNCT
alkej-733	181	1	the	the	DET
alkej-733	181	2	accuracy	accuracy	NOUN
alkej-733	181	3	ahmed	ahmed	PROPN
alkej-733	181	4	najah	najah	PROPN
alkej-733	181	5	al	al	PROPN
alkej-733	181	6	-	-	PUNCT
alkej-733	181	7	khwarizmi	khwarizmi	PROPN
alkej-733	181	8	engineering	engineering	NOUN
alkej-733	181	9	journal	journal	PROPN
alkej-733	181	10	,	,	PUNCT
alkej-733	181	11	vol	vol	NOUN
alkej-733	181	12	.	.	PROPN
alkej-733	181	13	17	17	NUM
alkej-733	181	14	,	,	PUNCT
alkej-733	181	15	no	no	INTJ
alkej-733	181	16	.	.	NOUN
alkej-733	181	17	1	1	NUM
alkej-733	181	18	,	,	PUNCT
alkej-733	181	19	p.p	p.p	PROPN
alkej-733	181	20	.	.	PROPN
alkej-733	181	21	1118	1118	NUM
alkej-733	181	22	(	(	PUNCT
alkej-733	181	23	2021	2021	NUM
alkej-733	181	24	)	)	PUNCT
alkej-733	181	25	9	9	NUM
alkej-733	181	26	of	of	ADP
alkej-733	181	27	the	the	DET
alkej-733	181	28	model	model	NOUN
alkej-733	181	29	increased	increase	VERB
alkej-733	181	30	with	with	ADP
alkej-733	181	31	the	the	DET
alkej-733	181	32	black	black	ADJ
alkej-733	181	33	and	and	CCONJ
alkej-733	181	34	white	white	ADJ
alkej-733	181	35	format	format	NOUN
alkej-733	181	36	with	with	ADP
alkej-733	181	37	an	an	DET
alkej-733	181	38	average	average	NOUN
alkej-733	181	39	of	of	ADP
alkej-733	181	40	(	(	PUNCT
alkej-733	181	41	5.5	5.5	NUM
alkej-733	181	42	%	%	NOUN
alkej-733	181	43	for	for	ADP
alkej-733	181	44	the	the	DET
alkej-733	181	45	24	24	NUM
alkej-733	181	46	megapixels	megapixel	NOUN
alkej-733	181	47	,	,	PUNCT
alkej-733	181	48	0.42	0.42	NUM
alkej-733	181	49	%	%	NOUN
alkej-733	181	50	for	for	ADP
alkej-733	181	51	the	the	DET
alkej-733	181	52	8	8	NUM
alkej-733	181	53	mega	mega	NOUN
alkej-733	181	54	-	-	NOUN
alkej-733	181	55	pixels	pixel	NOUN
alkej-733	181	56	and	and	CCONJ
alkej-733	181	57	12.61	12.61	NUM
alkej-733	181	58	%	%	NOUN
alkej-733	181	59	for	for	ADP
alkej-733	181	60	the	the	DET
alkej-733	181	61	5	5	NUM
alkej-733	181	62	mega	mega	NOUN
alkej-733	181	63	-	-	NOUN
alkej-733	181	64	pixels	pixel	NOUN
alkej-733	181	65	)	)	PUNCT
alkej-733	181	66	.	.	PUNCT
alkej-733	182	1	moreover	moreover	ADV
alkej-733	182	2	,	,	PUNCT
alkej-733	182	3	with	with	ADP
alkej-733	182	4	the	the	DET
alkej-733	182	5	last	last	ADJ
alkej-733	182	6	image	image	NOUN
alkej-733	182	7	in	in	ADP
alkej-733	182	8	the	the	DET
alkej-733	182	9	5	5	NUM
alkej-733	182	10	mega	mega	ADJ
alkej-733	182	11	-	-	ADJ
alkej-733	182	12	pixel	pixel	ADJ
alkej-733	182	13	images	image	NOUN
alkej-733	182	14	’	'	PUNCT
alkej-733	182	15	set	set	NOUN
alkej-733	182	16	,	,	PUNCT
alkej-733	182	17	the	the	DET
alkej-733	182	18	model	model	NOUN
alkej-733	182	19	made	make	VERB
alkej-733	182	20	a	a	DET
alkej-733	182	21	wrong	wrong	ADJ
alkej-733	182	22	prediction	prediction	NOUN
alkej-733	182	23	with	with	ADP
alkej-733	182	24	the	the	DET
alkej-733	182	25	colored	colored	ADJ
alkej-733	182	26	image	image	NOUN
alkej-733	182	27	,	,	PUNCT
alkej-733	182	28	but	but	CCONJ
alkej-733	182	29	when	when	SCONJ
alkej-733	182	30	the	the	DET
alkej-733	182	31	same	same	ADJ
alkej-733	182	32	image	image	NOUN
alkej-733	182	33	was	be	AUX
alkej-733	182	34	tested	test	VERB
alkej-733	182	35	in	in	ADP
alkej-733	182	36	the	the	DET
alkej-733	182	37	grayscale	grayscale	NOUN
alkej-733	182	38	format	format	NOUN
alkej-733	182	39	,	,	PUNCT
alkej-733	182	40	the	the	DET
alkej-733	182	41	model	model	NOUN
alkej-733	182	42	was	be	AUX
alkej-733	182	43	able	able	ADJ
alkej-733	182	44	to	to	PART
alkej-733	182	45	make	make	VERB
alkej-733	182	46	the	the	DET
alkej-733	182	47	right	right	ADJ
alkej-733	182	48	prediction	prediction	NOUN
alkej-733	182	49	with	with	ADP
alkej-733	182	50	a	a	DET
alkej-733	182	51	rather	rather	ADV
alkej-733	182	52	higher	high	ADJ
alkej-733	182	53	accuracy	accuracy	NOUN
alkej-733	182	54	.	.	PUNCT
alkej-733	183	1	according	accord	VERB
alkej-733	183	2	to	to	ADP
alkej-733	183	3	[	[	X
alkej-733	183	4	42	42	NUM
alkej-733	183	5	]	]	PUNCT
alkej-733	183	6	those	those	DET
alkej-733	183	7	results	result	NOUN
alkej-733	183	8	make	make	VERB
alkej-733	183	9	good	good	ADJ
alkej-733	183	10	sense	sense	NOUN
alkej-733	183	11	,	,	PUNCT
alkej-733	183	12	as	as	SCONJ
alkej-733	183	13	the	the	DET
alkej-733	183	14	classification	classification	NOUN
alkej-733	183	15	accuracy	accuracy	NOUN
alkej-733	183	16	of	of	ADP
alkej-733	183	17	a	a	DET
alkej-733	183	18	cnn	cnn	PROPN
alkej-733	183	19	model	model	NOUN
alkej-733	183	20	depends	depend	VERB
alkej-733	183	21	largely	largely	ADV
alkej-733	183	22	on	on	ADP
alkej-733	183	23	the	the	DET
alkej-733	183	24	image	image	NOUN
alkej-733	183	25	lighting	lighting	NOUN
alkej-733	183	26	,	,	PUNCT
alkej-733	183	27	and	and	CCONJ
alkej-733	183	28	colored	colored	ADJ
alkej-733	183	29	images	image	NOUN
alkej-733	183	30	are	be	AUX
alkej-733	183	31	susceptible	susceptible	ADJ
alkej-733	183	32	to	to	ADP
alkej-733	183	33	lighting	lighting	NOUN
alkej-733	183	34	.	.	PUNCT
alkej-733	184	1	the	the	DET
alkej-733	184	2	effect	effect	NOUN
alkej-733	184	3	of	of	ADP
alkej-733	184	4	the	the	DET
alkej-733	184	5	lighting	lighting	NOUN
alkej-733	184	6	intensity	intensity	NOUN
alkej-733	184	7	can	can	AUX
alkej-733	184	8	be	be	AUX
alkej-733	184	9	seen	see	VERB
alkej-733	184	10	in	in	ADP
alkej-733	184	11	[	[	X
alkej-733	184	12	43	43	NUM
alkej-733	184	13	]	]	PUNCT
alkej-733	184	14	where	where	SCONJ
alkej-733	184	15	it	it	PRON
alkej-733	184	16	was	be	AUX
alkej-733	184	17	studied	study	VERB
alkej-733	184	18	thoroughly	thoroughly	ADV
alkej-733	184	19	along	along	ADV
alkej-733	184	20	with	with	ADP
alkej-733	184	21	other	other	ADJ
alkej-733	184	22	factors	factor	NOUN
alkej-733	184	23	.	.	PUNCT
alkej-733	185	1	5	5	X
alkej-733	185	2	.	.	X
alkej-733	185	3	conclusions	conclusion	NOUN
alkej-733	185	4	in	in	ADP
alkej-733	185	5	this	this	DET
alkej-733	185	6	work	work	NOUN
alkej-733	185	7	,	,	PUNCT
alkej-733	185	8	a	a	DET
alkej-733	185	9	quality	quality	NOUN
alkej-733	185	10	inspection	inspection	NOUN
alkej-733	185	11	system	system	NOUN
alkej-733	185	12	based	base	VERB
alkej-733	185	13	on	on	ADP
alkej-733	185	14	deep	deep	ADJ
alkej-733	185	15	convolutional	convolutional	ADJ
alkej-733	185	16	neural	neural	ADJ
alkej-733	185	17	networks	network	NOUN
alkej-733	185	18	was	be	AUX
alkej-733	185	19	proposed	propose	VERB
alkej-733	185	20	to	to	PART
alkej-733	185	21	study	study	VERB
alkej-733	185	22	the	the	DET
alkej-733	185	23	effect	effect	NOUN
alkej-733	185	24	of	of	ADP
alkej-733	185	25	utilizing	utilize	VERB
alkej-733	185	26	dl	dl	PROPN
alkej-733	185	27	with	with	ADP
alkej-733	185	28	cv	cv	PROPN
alkej-733	185	29	as	as	ADP
alkej-733	185	30	an	an	DET
alkej-733	185	31	easier	easy	ADJ
alkej-733	185	32	way	way	NOUN
alkej-733	185	33	to	to	PART
alkej-733	185	34	build	build	VERB
alkej-733	185	35	an	an	DET
alkej-733	185	36	inspection	inspection	NOUN
alkej-733	185	37	system	system	NOUN
alkej-733	185	38	and	and	CCONJ
alkej-733	185	39	more	more	ADV
alkej-733	185	40	accurate	accurate	ADJ
alkej-733	185	41	way	way	NOUN
alkej-733	185	42	to	to	PART
alkej-733	185	43	classify	classify	VERB
alkej-733	185	44	objects	object	NOUN
alkej-733	185	45	at	at	ADP
alkej-733	185	46	a	a	DET
alkej-733	185	47	low	low	ADJ
alkej-733	185	48	cost	cost	NOUN
alkej-733	185	49	.	.	PUNCT
alkej-733	186	1	the	the	DET
alkej-733	186	2	used	use	VERB
alkej-733	186	3	object	object	NOUN
alkej-733	186	4	to	to	PART
alkej-733	186	5	be	be	AUX
alkej-733	186	6	classified	classify	VERB
alkej-733	186	7	was	be	AUX
alkej-733	186	8	a	a	DET
alkej-733	186	9	helical	helical	ADJ
alkej-733	186	10	gear	gear	NOUN
alkej-733	186	11	.	.	PUNCT
alkej-733	187	1	it	it	PRON
alkej-733	187	2	was	be	AUX
alkej-733	187	3	planned	plan	VERB
alkej-733	187	4	to	to	PART
alkej-733	187	5	train	train	VERB
alkej-733	187	6	the	the	DET
alkej-733	187	7	network	network	NOUN
alkej-733	187	8	to	to	PART
alkej-733	187	9	classify	classify	VERB
alkej-733	187	10	it	it	PRON
alkej-733	187	11	according	accord	VERB
alkej-733	187	12	to	to	ADP
alkej-733	187	13	its	its	PRON
alkej-733	187	14	shape	shape	NOUN
alkej-733	187	15	state	state	NOUN
alkej-733	187	16	,	,	PUNCT
alkej-733	187	17	whether	whether	SCONJ
alkej-733	187	18	being	be	AUX
alkej-733	187	19	damaged	damage	VERB
alkej-733	187	20	or	or	CCONJ
alkej-733	187	21	not	not	PART
alkej-733	187	22	.	.	PUNCT
alkej-733	188	1	the	the	DET
alkej-733	188	2	system	system	NOUN
alkej-733	188	3	was	be	AUX
alkej-733	188	4	built	build	VERB
alkej-733	188	5	using	use	VERB
alkej-733	188	6	keras	keras	PROPN
alkej-733	188	7	framework	framework	NOUN
alkej-733	188	8	.	.	PUNCT
alkej-733	189	1	a	a	DET
alkej-733	189	2	dataset	dataset	NOUN
alkej-733	189	3	consisted	consist	VERB
alkej-733	189	4	of	of	ADP
alkej-733	189	5	images	image	NOUN
alkej-733	189	6	of	of	ADP
alkej-733	189	7	the	the	DET
alkej-733	189	8	gears	gear	NOUN
alkej-733	189	9	in	in	ADP
alkej-733	189	10	a	a	DET
alkej-733	189	11	healthy	healthy	ADJ
alkej-733	189	12	and	and	CCONJ
alkej-733	189	13	defected	defected	ADJ
alkej-733	189	14	state	state	NOUN
alkej-733	189	15	,	,	PUNCT
alkej-733	189	16	were	be	AUX
alkej-733	189	17	used	use	VERB
alkej-733	189	18	as	as	ADP
alkej-733	189	19	input	input	NOUN
alkej-733	189	20	for	for	ADP
alkej-733	189	21	the	the	DET
alkej-733	189	22	system	system	NOUN
alkej-733	189	23	.	.	PUNCT
alkej-733	190	1	eighteen	eighteen	NUM
alkej-733	190	2	experiments	experiment	NOUN
alkej-733	190	3	were	be	AUX
alkej-733	190	4	conducted	conduct	VERB
alkej-733	190	5	using	use	VERB
alkej-733	190	6	transfer	transfer	NOUN
alkej-733	190	7	learning	learning	NOUN
alkej-733	190	8	and	and	CCONJ
alkej-733	190	9	custom	custom	NOUN
alkej-733	190	10	cnns	cnn	NOUN
alkej-733	190	11	to	to	PART
alkej-733	190	12	build	build	VERB
alkej-733	190	13	a	a	DET
alkej-733	190	14	highperformance	highperformance	NOUN
alkej-733	190	15	system	system	NOUN
alkej-733	190	16	.	.	PUNCT
alkej-733	191	1	employing	employ	VERB
alkej-733	191	2	densenet121	densenet121	PROPN
alkej-733	191	3	with	with	ADP
alkej-733	191	4	transfer	transfer	NOUN
alkej-733	191	5	learning	learning	NOUN
alkej-733	191	6	yielded	yield	VERB
alkej-733	191	7	a	a	DET
alkej-733	191	8	high	high	ADJ
alkej-733	191	9	accuracy	accuracy	NOUN
alkej-733	191	10	model	model	NOUN
alkej-733	191	11	.	.	PUNCT
alkej-733	192	1	the	the	DET
alkej-733	192	2	model	model	NOUN
alkej-733	192	3	was	be	AUX
alkej-733	192	4	trained	train	VERB
alkej-733	192	5	on	on	ADP
alkej-733	192	6	the	the	DET
alkej-733	192	7	gpu	gpu	NOUN
alkej-733	192	8	of	of	ADP
alkej-733	192	9	the	the	DET
alkej-733	192	10	computer	computer	NOUN
alkej-733	192	11	and	and	CCONJ
alkej-733	192	12	took	take	VERB
alkej-733	192	13	an	an	DET
alkej-733	192	14	average	average	NOUN
alkej-733	192	15	of	of	ADP
alkej-733	192	16	4	4	NUM
alkej-733	192	17	hours	hour	NOUN
alkej-733	192	18	for	for	ADP
alkej-733	192	19	each	each	DET
alkej-733	192	20	experiment	experiment	NOUN
alkej-733	192	21	.	.	PUNCT
alkej-733	193	1	the	the	DET
alkej-733	193	2	system	system	NOUN
alkej-733	193	3	performance	performance	NOUN
alkej-733	193	4	was	be	AUX
alkej-733	193	5	evaluated	evaluate	VERB
alkej-733	193	6	on	on	ADP
alkej-733	193	7	30	30	NUM
alkej-733	193	8	images	image	NOUN
alkej-733	193	9	dataset	dataset	NOUN
alkej-733	193	10	.	.	PUNCT
alkej-733	194	1	they	they	PRON
alkej-733	194	2	were	be	AUX
alkej-733	194	3	captured	capture	VERB
alkej-733	194	4	at	at	ADP
alkej-733	194	5	3	3	NUM
alkej-733	194	6	different	different	ADJ
alkej-733	194	7	resolutions	resolution	NOUN
alkej-733	194	8	(	(	PUNCT
alkej-733	194	9	24	24	NUM
alkej-733	194	10	,	,	PUNCT
alkej-733	194	11	8	8	NUM
alkej-733	194	12	and	and	CCONJ
alkej-733	194	13	5	5	NUM
alkej-733	194	14	mega	mega	NOUN
alkej-733	194	15	-	-	NOUN
alkej-733	194	16	pixels	pixel	NOUN
alkej-733	194	17	)	)	PUNCT
alkej-733	194	18	.	.	PUNCT
alkej-733	195	1	the	the	DET
alkej-733	195	2	system	system	NOUN
alkej-733	195	3	showed	show	VERB
alkej-733	195	4	high	high	ADJ
alkej-733	195	5	accuracies	accuracy	NOUN
alkej-733	195	6	of	of	ADP
alkej-733	195	7	99.20	99.20	NUM
alkej-733	195	8	%	%	NOUN
alkej-733	195	9	,	,	PUNCT
alkej-733	195	10	99.05	99.05	NUM
alkej-733	195	11	%	%	NOUN
alkej-733	195	12	and	and	CCONJ
alkej-733	195	13	97.79	97.79	NUM
alkej-733	195	14	%	%	NOUN
alkej-733	195	15	respectively	respectively	ADV
alkej-733	195	16	.	.	PUNCT
alkej-733	196	1	in	in	ADP
alkej-733	196	2	addition	addition	NOUN
alkej-733	196	3	,	,	PUNCT
alkej-733	196	4	it	it	PRON
alkej-733	196	5	was	be	AUX
alkej-733	196	6	evaluated	evaluate	VERB
alkej-733	196	7	with	with	ADP
alkej-733	196	8	12	12	NUM
alkej-733	196	9	grayscale	grayscale	NOUN
alkej-733	196	10	images	image	NOUN
alkej-733	196	11	which	which	PRON
alkej-733	196	12	showed	show	VERB
alkej-733	196	13	results	result	NOUN
alkej-733	196	14	that	that	PRON
alkej-733	196	15	were	be	AUX
alkej-733	196	16	superior	superior	ADJ
alkej-733	196	17	to	to	ADP
alkej-733	196	18	their	their	PRON
alkej-733	196	19	exact	exact	ADJ
alkej-733	196	20	colored	colored	ADJ
alkej-733	196	21	copies	copy	NOUN
alkej-733	196	22	.	.	PUNCT
alkej-733	197	1	experimental	experimental	ADJ
alkej-733	197	2	results	result	NOUN
alkej-733	197	3	concluded	conclude	VERB
alkej-733	197	4	that	that	SCONJ
alkej-733	197	5	using	use	VERB
alkej-733	197	6	cnns	cnn	NOUN
alkej-733	197	7	in	in	ADP
alkej-733	197	8	quality	quality	NOUN
alkej-733	197	9	inspection	inspection	NOUN
alkej-733	197	10	tasks	task	NOUN
alkej-733	197	11	produced	produce	VERB
alkej-733	197	12	some	some	DET
alkej-733	197	13	advantages	advantage	NOUN
alkej-733	197	14	over	over	ADP
alkej-733	197	15	traditional	traditional	ADJ
alkej-733	197	16	computer	computer	NOUN
alkej-733	197	17	vision	vision	NOUN
alkej-733	197	18	techniques	technique	NOUN
alkej-733	197	19	regarding	regard	VERB
alkej-733	197	20	accuracy	accuracy	NOUN
alkej-733	197	21	,	,	PUNCT
alkej-733	197	22	cost	cost	NOUN
alkej-733	197	23	,	,	PUNCT
alkej-733	197	24	feature	feature	NOUN
alkej-733	197	25	extraction	extraction	NOUN
alkej-733	197	26	and	and	CCONJ
alkej-733	197	27	implementation	implementation	NOUN
alkej-733	197	28	difficulty	difficulty	NOUN
alkej-733	197	29	,	,	PUNCT
alkej-733	197	30	in	in	ADP
alkej-733	197	31	which	which	PRON
alkej-733	197	32	high	high	ADJ
alkej-733	197	33	accuracy	accuracy	NOUN
alkej-733	197	34	was	be	AUX
alkej-733	197	35	achieved	achieve	VERB
alkej-733	197	36	at	at	ADP
alkej-733	197	37	low	low	ADJ
alkej-733	197	38	costs	cost	NOUN
alkej-733	197	39	with	with	ADP
alkej-733	197	40	automatic	automatic	ADJ
alkej-733	197	41	feature	feature	NOUN
alkej-733	197	42	extraction	extraction	NOUN
alkej-733	197	43	ability	ability	NOUN
alkej-733	197	44	and	and	CCONJ
alkej-733	197	45	ease	ease	NOUN
alkej-733	197	46	of	of	ADP
alkej-733	197	47	implementation	implementation	NOUN
alkej-733	197	48	.	.	PUNCT
alkej-733	198	1	at	at	ADP
alkej-733	198	2	the	the	DET
alkej-733	198	3	same	same	ADJ
alkej-733	198	4	time	time	NOUN
alkej-733	198	5	,	,	PUNCT
alkej-733	198	6	a	a	DET
alkej-733	198	7	disadvantage	disadvantage	NOUN
alkej-733	198	8	was	be	AUX
alkej-733	198	9	also	also	ADV
alkej-733	198	10	noticed	notice	VERB
alkej-733	198	11	about	about	ADP
alkej-733	198	12	the	the	DET
alkej-733	198	13	cnns	cnn	NOUN
alkej-733	198	14	,	,	PUNCT
alkej-733	198	15	as	as	SCONJ
alkej-733	198	16	they	they	PRON
alkej-733	198	17	require	require	VERB
alkej-733	198	18	large	large	ADJ
alkej-733	198	19	datasets	dataset	NOUN
alkej-733	198	20	,	,	PUNCT
alkej-733	198	21	but	but	CCONJ
alkej-733	198	22	that	that	DET
alkej-733	198	23	issue	issue	NOUN
alkej-733	198	24	was	be	AUX
alkej-733	198	25	avoided	avoid	VERB
alkej-733	198	26	by	by	ADP
alkej-733	198	27	using	use	VERB
alkej-733	198	28	transfer	transfer	NOUN
alkej-733	198	29	learning	learning	NOUN
alkej-733	198	30	.	.	PUNCT
alkej-733	199	1	nomenclature	nomenclature	NOUN
alkej-733	199	2	ai	ai	VERB
alkej-733	199	3	artificial	artificial	ADJ
alkej-733	199	4	intelligence	intelligence	NOUN
alkej-733	199	5	ai	ai	PROPN
alkej-733	199	6	neuron	neuron	PROPN
alkej-733	199	7	input	input	PROPN
alkej-733	199	8	value	value	PROPN
alkej-733	199	9	ann	ann	PROPN
alkej-733	199	10	artificial	artificial	ADJ
alkej-733	199	11	neural	neural	ADJ
alkej-733	199	12	network	network	NOUN
alkej-733	199	13	bj	bj	VERB
alkej-733	199	14	connector	connector	NOUN
alkej-733	199	15	weight	weight	NOUN
alkej-733	199	16	c	c	NOUN
alkej-733	199	17	bias	bias	NOUN
alkej-733	199	18	value	value	NOUN
alkej-733	199	19	cnn	cnn	PROPN
alkej-733	199	20	convolutional	convolutional	ADJ
alkej-733	199	21	neural	neural	ADJ
alkej-733	199	22	network	network	NOUN
alkej-733	199	23	cv	cv	PROPN
alkej-733	199	24	computer	computer	NOUN
alkej-733	199	25	vision	vision	NOUN
alkej-733	199	26	cpu	cpu	VERB
alkej-733	199	27	central	central	ADJ
alkej-733	199	28	processing	processing	NOUN
alkej-733	199	29	unit	unit	NOUN
alkej-733	199	30	dl	dl	AUX
alkej-733	199	31	deep	deep	PROPN
alkej-733	199	32	learning	learn	VERB
alkej-733	199	33	dnn	dnn	PROPN
alkej-733	199	34	deep	deep	ADJ
alkej-733	199	35	neural	neural	ADJ
alkej-733	199	36	network	network	NOUN
alkej-733	199	37	f	f	PROPN
alkej-733	199	38	activation	activation	NOUN
alkej-733	199	39	function	function	NOUN
alkej-733	199	40	f(z	f(z	NOUN
alkej-733	199	41	)	)	PUNCT
alkej-733	199	42	activation	activation	NOUN
alkej-733	199	43	function	function	NOUN
alkej-733	199	44	output	output	NOUN
alkej-733	199	45	y	y	PROPN
alkej-733	199	46	neuron	neuron	PROPN
alkej-733	199	47	output	output	PROPN
alkej-733	199	48	rgb	rgb	PROPN
alkej-733	199	49	red	red	PROPN
alkej-733	199	50	green	green	PROPN
alkej-733	199	51	blue	blue	ADJ
alkej-733	199	52	gap	gap	NOUN
alkej-733	199	53	global	global	ADJ
alkej-733	199	54	average	average	ADJ
alkej-733	199	55	pooling	pool	VERB
alkej-733	199	56	gpu	gpu	PRON
alkej-733	199	57	graphic	graphic	ADJ
alkej-733	199	58	processing	processing	NOUN
alkej-733	199	59	unit	unit	NOUN
alkej-733	199	60	m	m	PROPN
alkej-733	199	61	number	number	NOUN
alkej-733	199	62	of	of	ADP
alkej-733	199	63	training	training	NOUN
alkej-733	199	64	data	datum	NOUN
alkej-733	199	65	qi	qi	PROPN
alkej-733	199	66	quality	quality	NOUN
alkej-733	199	67	inspection	inspection	NOUN
alkej-733	199	68	q(z	q(z	PROPN
alkej-733	199	69	)	)	PUNCT
alkej-733	199	70	pooling	pool	VERB
alkej-733	199	71	function	function	NOUN
alkej-733	199	72	r	r	NOUN
alkej-733	199	73	goal	goal	NOUN
alkej-733	199	74	value	value	NOUN
alkej-733	199	75	relu	relu	NOUN
alkej-733	199	76	rectified	rectify	VERB
alkej-733	199	77	linear	linear	PROPN
alkej-733	199	78	unit	unit	NOUN
alkej-733	199	79	rij	rij	ADJ
alkej-733	199	80	filter	filter	NOUN
alkej-733	199	81	window	window	NOUN
alkej-733	199	82	svm	svm	PROPN
alkej-733	199	83	support	support	NOUN
alkej-733	199	84	vector	vector	NOUN
alkej-733	199	85	machine	machine	NOUN
alkej-733	199	86	y	y	PROPN
alkej-733	199	87	model	model	NOUN
alkej-733	199	88	prediction	prediction	NOUN
alkej-733	199	89	z	z	NOUN
alkej-733	199	90	activation	activation	NOUN
alkej-733	199	91	function	function	NOUN
alkej-733	199	92	input	input	NOUN
alkej-733	199	93	zab	zab	PROPN
alkej-733	199	94	pixel	pixel	PROPN
alkej-733	199	95	value	value	PROPN
alkej-733	199	96	6	6	NUM
alkej-733	199	97	.	.	PUNCT
alkej-733	200	1	references	reference	NOUN
alkej-733	200	2	[	[	X
alkej-733	200	3	1	1	NUM
alkej-733	200	4	]	]	PUNCT
alkej-733	200	5	m.	m.	NOUN
alkej-733	200	6	p.	p.	PROPN
alkej-733	200	7	groover	groover	PROPN
alkej-733	200	8	,	,	PUNCT
alkej-733	200	9	“	"	PUNCT
alkej-733	200	10	inspection	inspection	NOUN
alkej-733	200	11	principles	principle	NOUN
alkej-733	200	12	and	and	CCONJ
alkej-733	200	13	practices	practice	NOUN
alkej-733	200	14	”	"	PUNCT
alkej-733	200	15	,	,	PUNCT
alkej-733	200	16	in	in	ADP
alkej-733	200	17	automation	automation	NOUN
alkej-733	200	18	,	,	PUNCT
alkej-733	200	19	production	production	NOUN
alkej-733	200	20	systems	system	NOUN
alkej-733	200	21	and	and	CCONJ
alkej-733	200	22	computer	computer	NOUN
alkej-733	200	23	integrated	integrate	VERB
alkej-733	200	24	manufacturing	manufacturing	NOUN
alkej-733	200	25	,	,	PUNCT
alkej-733	200	26	2nd	2nd	ADJ
alkej-733	200	27	ed	ed	NOUN
alkej-733	200	28	.	.	PUNCT
alkej-733	201	1	m.	m.	PROPN
alkej-733	201	2	p.	p.	PROPN
alkej-733	201	3	groover	groover	PROPN
alkej-733	201	4	,	,	PUNCT
alkej-733	201	5	eds	eds	PROPN
alkej-733	201	6	.	.	PROPN
alkej-733	201	7	harlow	harlow	PROPN
alkej-733	201	8	:	:	PUNCT
alkej-733	201	9	prentice	prentice	PROPN
alkej-733	201	10	hall	hall	PROPN
alkej-733	201	11	,	,	PUNCT
alkej-733	201	12	2001	2001	NUM
alkej-733	201	13	,	,	PUNCT
alkej-733	201	14	pp	pp	ADJ
alkej-733	201	15	.	.	PUNCT
alkej-733	202	1	681	681	NUM
alkej-733	202	2	-	-	SYM
alkej-733	202	3	682	682	NUM
alkej-733	202	4	.	.	PUNCT
alkej-733	203	1	[	[	X
alkej-733	203	2	2	2	X
alkej-733	203	3	]	]	X
alkej-733	203	4	u.	u.	PROPN
alkej-733	203	5	mane	mane	PROPN
alkej-733	203	6	,	,	PUNCT
alkej-733	203	7	a.	a.	PROPN
alkej-733	203	8	mahajan	mahajan	PROPN
alkej-733	203	9	,	,	PUNCT
alkej-733	203	10	e.	e.	PROPN
alkej-733	203	11	kargutkar	kargutkar	PROPN
alkej-733	203	12	and	and	CCONJ
alkej-733	203	13	k.	k.	PROPN
alkej-733	203	14	dhuri	dhuri	PROPN
alkej-733	203	15	,	,	PUNCT
alkej-733	203	16	“	"	PUNCT
alkej-733	203	17	detection	detection	NOUN
alkej-733	203	18	of	of	ADP
alkej-733	203	19	defects	defect	NOUN
alkej-733	203	20	in	in	ADP
alkej-733	203	21	plastic	plastic	ADJ
alkej-733	203	22	gears	gear	NOUN
alkej-733	203	23	using	use	VERB
alkej-733	203	24	image	image	NOUN
alkej-733	203	25	processing	processing	NOUN
alkej-733	203	26	”	"	PUNCT
alkej-733	203	27	,	,	PUNCT
alkej-733	203	28	ijisrt	ijisrt	NOUN
alkej-733	203	29	,	,	PUNCT
alkej-733	203	30	vol	vol	NOUN
alkej-733	203	31	.	.	PROPN
alkej-733	203	32	2	2	NUM
alkej-733	203	33	,	,	PUNCT
alkej-733	203	34	issue	issue	NOUN
alkej-733	203	35	7	7	NUM
alkej-733	203	36	,	,	PUNCT
alkej-733	203	37	pp	pp	ADJ
alkej-733	203	38	.	.	PUNCT
alkej-733	204	1	2456	2456	NUM
alkej-733	204	2	-	-	SYM
alkej-733	204	3	2165	2165	NUM
alkej-733	204	4	,	,	PUNCT
alkej-733	204	5	2017	2017	NUM
alkej-733	204	6	.	.	PUNCT
alkej-733	205	1	[	[	X
alkej-733	205	2	3	3	X
alkej-733	205	3	]	]	X
alkej-733	205	4	y.	y.	PROPN
alkej-733	205	5	qin	qin	PROPN
alkej-733	205	6	,	,	PUNCT
alkej-733	205	7	y.	y.	PROPN
alkej-733	205	8	mao	mao	PROPN
alkej-733	205	9	,	,	PUNCT
alkej-733	205	10	b.	b.	PROPN
alkej-733	205	11	tang	tang	PROPN
alkej-733	205	12	,	,	PUNCT
alkej-733	205	13	y.	y.	PROPN
alkej-733	205	14	wang	wang	PROPN
alkej-733	205	15	and	and	CCONJ
alkej-733	205	16	h.	h.	PROPN
alkej-733	205	17	chen	chen	PROPN
alkej-733	205	18	,	,	PUNCT
alkej-733	205	19	“	"	PUNCT
alkej-733	205	20	m	m	ADJ
alkej-733	205	21	-	-	ADJ
alkej-733	205	22	band	band	NOUN
alkej-733	205	23	flexible	flexible	ADJ
alkej-733	205	24	wavelet	wavelet	NOUN
alkej-733	205	25	transform	transform	NOUN
alkej-733	205	26	and	and	CCONJ
alkej-733	205	27	its	its	PRON
alkej-733	205	28	application	application	NOUN
alkej-733	205	29	to	to	ADP
alkej-733	205	30	the	the	DET
alkej-733	205	31	fault	fault	NOUN
alkej-733	205	32	diagnosis	diagnosis	NOUN
alkej-733	205	33	of	of	ADP
alkej-733	205	34	planetary	planetary	ADJ
alkej-733	205	35	gear	gear	NOUN
alkej-733	205	36	transmission	transmission	NOUN
alkej-733	205	37	systems	system	NOUN
alkej-733	205	38	”	"	PUNCT
alkej-733	205	39	,	,	PUNCT
alkej-733	205	40	mechanical	mechanical	ADJ
alkej-733	205	41	systems	system	NOUN
alkej-733	205	42	and	and	CCONJ
alkej-733	205	43	signal	signal	NOUN
alkej-733	205	44	processing	processing	NOUN
alkej-733	205	45	,	,	PUNCT
alkej-733	205	46	vol	vol	NOUN
alkej-733	205	47	.	.	PROPN
alkej-733	205	48	134	134	NUM
alkej-733	205	49	,	,	PUNCT
alkej-733	205	50	issue	issue	NOUN
alkej-733	205	51	0888	0888	NUM
alkej-733	205	52	-	-	SYM
alkej-733	205	53	3270	3270	NUM
alkej-733	205	54	,	,	PUNCT
alkej-733	205	55	2019	2019	NUM
alkej-733	205	56	.	.	PUNCT
alkej-733	206	1	[	[	X
alkej-733	206	2	4	4	X
alkej-733	206	3	]	]	X
alkej-733	206	4	m.	m.	NOUN
alkej-733	206	5	gao	gao	PROPN
alkej-733	206	6	,	,	PUNCT
alkej-733	206	7	g.	g.	PROPN
alkej-733	206	8	yu	yu	PROPN
alkej-733	206	9	and	and	CCONJ
alkej-733	206	10	t.	t.	PROPN
alkej-733	206	11	wang	wang	PROPN
alkej-733	206	12	,	,	PUNCT
alkej-733	206	13	"	"	PUNCT
alkej-733	206	14	impulsive	impulsive	ADJ
alkej-733	206	15	gear	gear	NOUN
alkej-733	206	16	fault	fault	NOUN
alkej-733	206	17	diagnosis	diagnosis	NOUN
alkej-733	206	18	using	use	VERB
alkej-733	206	19	adaptive	adaptive	ADJ
alkej-733	206	20	morlet	morlet	NOUN
alkej-733	206	21	wavelet	wavelet	NOUN
alkej-733	206	22	filter	filter	NOUN
alkej-733	206	23	based	base	VERB
alkej-733	206	24	on	on	ADP
alkej-733	206	25	alpha	alpha	ADJ
alkej-733	206	26	-	-	PUNCT
alkej-733	206	27	stable	stable	ADJ
alkej-733	206	28	distribution	distribution	NOUN
alkej-733	206	29	and	and	CCONJ
alkej-733	206	30	ahmed	ahmed	PROPN
alkej-733	206	31	najah	najah	PROPN
alkej-733	206	32	al	al	PROPN
alkej-733	206	33	-	-	PUNCT
alkej-733	206	34	khwarizmi	khwarizmi	PROPN
alkej-733	206	35	engineering	engineering	NOUN
alkej-733	206	36	journal	journal	PROPN
alkej-733	206	37	,	,	PUNCT
alkej-733	206	38	vol	vol	NOUN
alkej-733	206	39	.	.	PROPN
alkej-733	206	40	17	17	NUM
alkej-733	206	41	,	,	PUNCT
alkej-733	206	42	no	no	INTJ
alkej-733	206	43	.	.	NOUN
alkej-733	206	44	1	1	NUM
alkej-733	206	45	,	,	PUNCT
alkej-733	206	46	p.p	p.p	PROPN
alkej-733	206	47	.	.	PROPN
alkej-733	206	48	1118	1118	NUM
alkej-733	206	49	(	(	PUNCT
alkej-733	206	50	2021	2021	NUM
alkej-733	206	51	)	)	PUNCT
alkej-733	206	52	10	10	NUM
alkej-733	206	53	kurtogram	kurtogram	NOUN
alkej-733	206	54	,	,	PUNCT
alkej-733	206	55	"	"	PUNCT
alkej-733	206	56	in	in	ADP
alkej-733	206	57	ieee	ieee	NOUN
alkej-733	206	58	access	access	NOUN
alkej-733	206	59	,	,	PUNCT
alkej-733	206	60	vol	vol	NOUN
alkej-733	206	61	.	.	PROPN
alkej-733	206	62	7	7	NUM
alkej-733	206	63	,	,	PUNCT
alkej-733	206	64	pp	pp	ADJ
alkej-733	206	65	.	.	PUNCT
alkej-733	207	1	72283	72283	NUM
alkej-733	207	2	-	-	SYM
alkej-733	207	3	72296	72296	NUM
alkej-733	207	4	,	,	PUNCT
alkej-733	207	5	2019	2019	NUM
alkej-733	207	6	.	.	PUNCT
alkej-733	208	1	[	[	X
alkej-733	208	2	5	5	X
alkej-733	208	3	]	]	PUNCT
alkej-733	208	4	j.	j.	PROPN
alkej-733	208	5	cai	cai	PROPN
alkej-733	208	6	,	,	PUNCT
alkej-733	208	7	"	"	PUNCT
alkej-733	208	8	gear	gear	NOUN
alkej-733	208	9	fault	fault	NOUN
alkej-733	208	10	diagnosis	diagnosis	NOUN
alkej-733	208	11	based	base	VERB
alkej-733	208	12	on	on	ADP
alkej-733	208	13	a	a	DET
alkej-733	208	14	new	new	ADJ
alkej-733	208	15	wavelet	wavelet	NOUN
alkej-733	208	16	adaptive	adaptive	ADJ
alkej-733	208	17	threshold	threshold	NOUN
alkej-733	208	18	de	de	ADJ
alkej-733	208	19	-	-	ADJ
alkej-733	208	20	noising	noising	ADJ
alkej-733	208	21	method	method	NOUN
alkej-733	208	22	"	"	PUNCT
alkej-733	208	23	,	,	PUNCT
alkej-733	208	24	industrial	industrial	ADJ
alkej-733	208	25	lubrication	lubrication	NOUN
alkej-733	208	26	and	and	CCONJ
alkej-733	208	27	tribology	tribology	NOUN
alkej-733	208	28	,	,	PUNCT
alkej-733	208	29	vol	vol	NOUN
alkej-733	208	30	.	.	PUNCT
alkej-733	209	1	71	71	NUM
alkej-733	209	2	no	no	NOUN
alkej-733	209	3	.	.	NOUN
alkej-733	209	4	1	1	NUM
alkej-733	209	5	,	,	PUNCT
alkej-733	209	6	pp	pp	ADJ
alkej-733	209	7	.	.	PUNCT
alkej-733	210	1	40	40	NUM
alkej-733	210	2	-	-	SYM
alkej-733	210	3	47	47	NUM
alkej-733	210	4	,	,	PUNCT
alkej-733	210	5	2019	2019	NUM
alkej-733	210	6	.	.	PUNCT
alkej-733	211	1	[	[	X
alkej-733	211	2	6	6	NUM
alkej-733	211	3	]	]	PUNCT
alkej-733	211	4	t.	t.	NOUN
alkej-733	211	5	bettahar	bettahar	PROPN
alkej-733	211	6	,	,	PUNCT
alkej-733	211	7	c.	c.	PROPN
alkej-733	211	8	rahmoune	rahmoune	PROPN
alkej-733	211	9	,	,	PUNCT
alkej-733	211	10	d.	d.	PROPN
alkej-733	211	11	benazzouz	benazzouz	PROPN
alkej-733	211	12	,	,	PUNCT
alkej-733	211	13	b.	b.	PROPN
alkej-733	211	14	merainani	merainani	PROPN
alkej-733	211	15	,	,	PUNCT
alkej-733	211	16	“	"	PUNCT
alkej-733	211	17	new	new	ADJ
alkej-733	211	18	method	method	NOUN
alkej-733	211	19	for	for	ADP
alkej-733	211	20	gear	gear	NOUN
alkej-733	211	21	fault	fault	NOUN
alkej-733	211	22	diagnosis	diagnosis	NOUN
alkej-733	211	23	using	use	VERB
alkej-733	211	24	empirical	empirical	ADJ
alkej-733	211	25	wavelet	wavelet	NOUN
alkej-733	211	26	transform	transform	NOUN
alkej-733	211	27	,	,	PUNCT
alkej-733	211	28	hilbert	hilbert	NOUN
alkej-733	211	29	transform	transform	NOUN
alkej-733	211	30	,	,	PUNCT
alkej-733	211	31	and	and	CCONJ
alkej-733	211	32	cosine	cosine	NOUN
alkej-733	211	33	similarity	similarity	NOUN
alkej-733	211	34	metric	metric	NOUN
alkej-733	211	35	”	"	PUNCT
alkej-733	211	36	,	,	PUNCT
alkej-733	211	37	advances	advance	NOUN
alkej-733	211	38	in	in	ADP
alkej-733	211	39	mechanical	mechanical	ADJ
alkej-733	211	40	engineering	engineering	NOUN
alkej-733	211	41	,	,	PUNCT
alkej-733	211	42	vol	vol	NOUN
alkej-733	211	43	.	.	PROPN
alkej-733	211	44	12	12	NUM
alkej-733	211	45	,	,	PUNCT
alkej-733	211	46	issue	issue	NOUN
alkej-733	211	47	6	6	NUM
alkej-733	211	48	,	,	PUNCT
alkej-733	211	49	2020	2020	NUM
alkej-733	211	50	.	.	PUNCT
alkej-733	212	1	[	[	X
alkej-733	212	2	7	7	X
alkej-733	212	3	]	]	X
alkej-733	212	4	g.	g.	PROPN
alkej-733	212	5	yu	yu	PROPN
alkej-733	212	6	,	,	PUNCT
alkej-733	212	7	m.	m.	NOUN
alkej-733	212	8	gao	gao	PROPN
alkej-733	212	9	and	and	CCONJ
alkej-733	212	10	c.	c.	PROPN
alkej-733	212	11	jia	jia	PROPN
alkej-733	212	12	,	,	PUNCT
alkej-733	212	13	“	"	PUNCT
alkej-733	212	14	a	a	DET
alkej-733	212	15	fast	fast	ADJ
alkej-733	212	16	filtering	filtering	NOUN
alkej-733	212	17	method	method	NOUN
alkej-733	212	18	based	base	VERB
alkej-733	212	19	on	on	ADP
alkej-733	212	20	adaptive	adaptive	ADJ
alkej-733	212	21	impulsive	impulsive	ADJ
alkej-733	212	22	wavelet	wavelet	NOUN
alkej-733	212	23	for	for	ADP
alkej-733	212	24	the	the	DET
alkej-733	212	25	gear	gear	NOUN
alkej-733	212	26	fault	fault	NOUN
alkej-733	212	27	diagnosis	diagnosis	NOUN
alkej-733	212	28	”	"	PUNCT
alkej-733	212	29	,	,	PUNCT
alkej-733	212	30	proceedings	proceeding	NOUN
alkej-733	212	31	of	of	ADP
alkej-733	212	32	the	the	DET
alkej-733	212	33	institution	institution	NOUN
alkej-733	212	34	of	of	ADP
alkej-733	212	35	mechanical	mechanical	ADJ
alkej-733	212	36	engineers	engineer	NOUN
alkej-733	212	37	,	,	PUNCT
alkej-733	212	38	part	part	NOUN
alkej-733	212	39	c	c	NOUN
alkej-733	212	40	:	:	PUNCT
alkej-733	212	41	journal	journal	NOUN
alkej-733	212	42	of	of	ADP
alkej-733	212	43	mechanical	mechanical	ADJ
alkej-733	212	44	engineering	engineering	NOUN
alkej-733	212	45	science	science	NOUN
alkej-733	212	46	.	.	PUNCT
alkej-733	213	1	february	february	PROPN
alkej-733	213	2	2020	2020	NUM
alkej-733	213	3	.	.	PUNCT
alkej-733	214	1	[	[	X
alkej-733	214	2	8	8	NUM
alkej-733	214	3	]	]	PUNCT
alkej-733	214	4	x.	x.	NOUN
alkej-733	214	5	liu	liu	PROPN
alkej-733	214	6	,	,	PUNCT
alkej-733	214	7	h.	h.	PROPN
alkej-733	214	8	huang	huang	PROPN
alkej-733	214	9	and	and	CCONJ
alkej-733	214	10	j.	j.	PROPN
alkej-733	214	11	xiang	xiang	PROPN
alkej-733	214	12	,	,	PUNCT
alkej-733	214	13	“	"	PUNCT
alkej-733	214	14	a	a	DET
alkej-733	214	15	personalized	personalized	ADJ
alkej-733	214	16	diagnosis	diagnosis	NOUN
alkej-733	214	17	method	method	NOUN
alkej-733	214	18	to	to	PART
alkej-733	214	19	detect	detect	VERB
alkej-733	214	20	faults	fault	NOUN
alkej-733	214	21	in	in	ADP
alkej-733	214	22	gears	gear	NOUN
alkej-733	214	23	using	use	VERB
alkej-733	214	24	numerical	numerical	ADJ
alkej-733	214	25	simulation	simulation	NOUN
alkej-733	214	26	and	and	CCONJ
alkej-733	214	27	extreme	extreme	ADJ
alkej-733	214	28	learning	learning	NOUN
alkej-733	214	29	machine	machine	NOUN
alkej-733	214	30	”	"	PUNCT
alkej-733	214	31	,	,	PUNCT
alkej-733	214	32	knowledgebased	knowledgebased	ADJ
alkej-733	214	33	systems	system	NOUN
alkej-733	214	34	,	,	PUNCT
alkej-733	214	35	vol	vol	NOUN
alkej-733	214	36	.	.	PROPN
alkej-733	214	37	195	195	NUM
alkej-733	214	38	,	,	PUNCT
alkej-733	214	39	issue	issue	NOUN
alkej-733	214	40	0950	0950	NUM
alkej-733	214	41	-	-	SYM
alkej-733	214	42	7051	7051	NUM
alkej-733	214	43	,	,	PUNCT
alkej-733	214	44	2020	2020	NUM
alkej-733	214	45	.	.	PUNCT
alkej-733	215	1	[	[	X
alkej-733	215	2	9	9	NUM
alkej-733	215	3	]	]	PUNCT
alkej-733	215	4	p.	p.	NOUN
alkej-733	215	5	ong	ong	PROPN
alkej-733	215	6	,	,	PUNCT
alkej-733	215	7	t.h.c	t.h.c	PROPN
alkej-733	215	8	.	.	PUNCT
alkej-733	215	9	tieh	tieh	PROPN
alkej-733	215	10	,	,	PUNCT
alkej-733	215	11	k.	k.	PROPN
alkej-733	215	12	h.	h.	PROPN
alkej-733	215	13	lai	lai	PROPN
alkej-733	215	14	,	,	PUNCT
alkej-733	215	15	et	et	PROPN
alkej-733	215	16	al	al	PROPN
alkej-733	215	17	.	.	PUNCT
alkej-733	216	1	“	"	PUNCT
alkej-733	216	2	efficient	efficient	ADJ
alkej-733	216	3	gear	gear	NOUN
alkej-733	216	4	fault	fault	NOUN
alkej-733	216	5	feature	feature	NOUN
alkej-733	216	6	selection	selection	NOUN
alkej-733	216	7	based	base	VERB
alkej-733	216	8	on	on	ADP
alkej-733	216	9	moth	moth	NOUN
alkej-733	216	10	-	-	PUNCT
alkej-733	216	11	flame	flame	NOUN
alkej-733	216	12	optimisation	optimisation	NOUN
alkej-733	216	13	in	in	ADP
alkej-733	216	14	discrete	discrete	ADJ
alkej-733	216	15	wavelet	wavelet	NOUN
alkej-733	216	16	packet	packet	NOUN
alkej-733	216	17	analysis	analysis	NOUN
alkej-733	216	18	domain	domain	NOUN
alkej-733	216	19	”	"	PUNCT
alkej-733	216	20	,	,	PUNCT
alkej-733	217	1	j	j	PROPN
alkej-733	217	2	braz	braz	PROPN
alkej-733	217	3	.	.	PUNCT
alkej-733	217	4	soc	soc	PROPN
alkej-733	217	5	.	.	PUNCT
alkej-733	218	1	mech	mech	PROPN
alkej-733	218	2	.	.	PUNCT
alkej-733	219	1	sci	sci	PROPN
alkej-733	219	2	.	.	PUNCT
alkej-733	220	1	eng	eng	PROPN
alkej-733	220	2	.	.	PROPN
alkej-733	220	3	,	,	PUNCT
alkej-733	220	4	vol	vol	NOUN
alkej-733	220	5	.	.	PROPN
alkej-733	220	6	41	41	NUM
alkej-733	220	7	,	,	PUNCT
alkej-733	220	8	issue	issue	NOUN
alkej-733	220	9	266	266	NUM
alkej-733	220	10	,	,	PUNCT
alkej-733	220	11	2019	2019	NUM
alkej-733	220	12	.	.	PUNCT
alkej-733	221	1	[	[	X
alkej-733	221	2	10	10	NUM
alkej-733	221	3	]	]	X
alkej-733	221	4	u.	u.	NOUN
alkej-733	221	5	urbas	urbas	PROPN
alkej-733	221	6	,	,	PUNCT
alkej-733	221	7	d.	d.	PROPN
alkej-733	221	8	zorko	zorko	PROPN
alkej-733	221	9	,	,	PUNCT
alkej-733	221	10	b.	b.	PROPN
alkej-733	221	11	černe	černe	PROPN
alkej-733	221	12	,	,	PUNCT
alkej-733	221	13	j.	j.	PROPN
alkej-733	221	14	tavčar	tavčar	PROPN
alkej-733	221	15	and	and	CCONJ
alkej-733	221	16	n.	n.	PROPN
alkej-733	221	17	vukašinović	vukašinović	NOUN
alkej-733	221	18	,	,	PUNCT
alkej-733	221	19	“	"	PUNCT
alkej-733	221	20	a	a	DET
alkej-733	221	21	method	method	NOUN
alkej-733	221	22	for	for	ADP
alkej-733	221	23	enhanced	enhanced	ADJ
alkej-733	221	24	polymer	polymer	NOUN
alkej-733	221	25	spur	spur	NOUN
alkej-733	221	26	gear	gear	NOUN
alkej-733	221	27	inspection	inspection	NOUN
alkej-733	221	28	based	base	VERB
alkej-733	221	29	on	on	ADP
alkej-733	221	30	3d	3d	NUM
alkej-733	221	31	optical	optical	ADJ
alkej-733	221	32	metrology	metrology	NOUN
alkej-733	221	33	”	"	PUNCT
alkej-733	221	34	,	,	PUNCT
alkej-733	221	35	measurement	measurement	NOUN
alkej-733	221	36	,	,	PUNCT
alkej-733	221	37	issue	issue	NOUN
alkej-733	221	38	02632241	02632241	NUM
alkej-733	221	39	,	,	PUNCT
alkej-733	221	40	2020	2020	NUM
alkej-733	221	41	.	.	PUNCT
alkej-733	222	1	[	[	X
alkej-733	222	2	11	11	NUM
alkej-733	222	3	]	]	PUNCT
alkej-733	222	4	k.	k.	PROPN
alkej-733	222	5	joshi	joshi	PROPN
alkej-733	222	6	,	,	PUNCT
alkej-733	222	7	b.	b.	PROPN
alkej-733	222	8	patil	patil	PROPN
alkej-733	222	9	,	,	PUNCT
alkej-733	222	10	“	"	PUNCT
alkej-733	222	11	measurement	measurement	NOUN
alkej-733	222	12	of	of	ADP
alkej-733	222	13	spur	spur	NOUN
alkej-733	222	14	gear	gear	NOUN
alkej-733	222	15	parameters	parameter	NOUN
alkej-733	222	16	using	use	VERB
alkej-733	222	17	machine	machine	NOUN
alkej-733	222	18	vision	vision	NOUN
alkej-733	222	19	,	,	PUNCT
alkej-733	222	20	”	"	PUNCT
alkej-733	222	21	proceedings	proceeding	NOUN
alkej-733	222	22	of	of	ADP
alkej-733	222	23	international	international	ADJ
alkej-733	222	24	conference	conference	NOUN
alkej-733	222	25	on	on	ADP
alkej-733	222	26	intelligent	intelligent	ADJ
alkej-733	222	27	manufacturing	manufacturing	NOUN
alkej-733	222	28	and	and	CCONJ
alkej-733	222	29	automation	automation	NOUN
alkej-733	222	30	.	.	PUNCT
alkej-733	223	1	lecture	lecture	NOUN
alkej-733	223	2	notes	note	NOUN
alkej-733	223	3	in	in	ADP
alkej-733	223	4	mechanical	mechanical	ADJ
alkej-733	223	5	engineering	engineering	NOUN
alkej-733	223	6	.	.	PUNCT
alkej-733	224	1	springer	springer	PROPN
alkej-733	224	2	,	,	PUNCT
alkej-733	224	3	singapore	singapore	PROPN
alkej-733	224	4	,	,	PUNCT
alkej-733	224	5	2020	2020	NUM
alkej-733	224	6	.	.	PUNCT
alkej-733	225	1	[	[	X
alkej-733	225	2	12	12	NUM
alkej-733	225	3	]	]	X
alkej-733	225	4	y.	y.	PROPN
alkej-733	225	5	wu	wu	PROPN
alkej-733	225	6	et	et	PROPN
alkej-733	225	7	al	al	PROPN
alkej-733	225	8	.	.	PROPN
alkej-733	225	9	,	,	PUNCT
alkej-733	225	10	"	"	PUNCT
alkej-733	225	11	detection	detection	NOUN
alkej-733	225	12	of	of	ADP
alkej-733	225	13	gear	gear	ADJ
alkej-733	225	14	tooth	tooth	NOUN
alkej-733	225	15	number	number	NOUN
alkej-733	225	16	and	and	CCONJ
alkej-733	225	17	common	common	ADJ
alkej-733	225	18	normal	normal	ADJ
alkej-733	225	19	length	length	NOUN
alkej-733	225	20	change	change	NOUN
alkej-733	225	21	based	base	VERB
alkej-733	225	22	on	on	ADP
alkej-733	225	23	computer	computer	NOUN
alkej-733	225	24	vision	vision	NOUN
alkej-733	225	25	"	"	PUNCT
alkej-733	225	26	,	,	PUNCT
alkej-733	225	27	2019	2019	NUM
alkej-733	225	28	international	international	ADJ
alkej-733	225	29	conference	conference	NOUN
alkej-733	225	30	on	on	ADP
alkej-733	225	31	artificial	artificial	ADJ
alkej-733	225	32	intelligence	intelligence	NOUN
alkej-733	225	33	and	and	CCONJ
alkej-733	225	34	advanced	advanced	ADJ
alkej-733	225	35	manufacturing	manufacturing	NOUN
alkej-733	225	36	(	(	PUNCT
alkej-733	225	37	aiam	aiam	PROPN
alkej-733	225	38	)	)	PUNCT
alkej-733	225	39	,	,	PUNCT
alkej-733	225	40	dublin	dublin	PROPN
alkej-733	225	41	,	,	PUNCT
alkej-733	225	42	ireland	ireland	PROPN
alkej-733	225	43	,	,	PUNCT
alkej-733	225	44	2019	2019	NUM
alkej-733	225	45	,	,	PUNCT
alkej-733	225	46	pp	pp	ADJ
alkej-733	225	47	.	.	PUNCT
alkej-733	226	1	618	618	NUM
alkej-733	226	2	-	-	SYM
alkej-733	226	3	621	621	NUM
alkej-733	226	4	.	.	PUNCT
alkej-733	227	1	[	[	X
alkej-733	227	2	13	13	NUM
alkej-733	227	3	]	]	PUNCT
alkej-733	227	4	f.	f.	PROPN
alkej-733	227	5	i.	i.	PROPN
alkej-733	227	6	j.	j.	PROPN
alkej-733	227	7	ramírez	ramírez	PROPN
alkej-733	227	8	and	and	CCONJ
alkej-733	227	9	j.	j.	PROPN
alkej-733	227	10	m.	m.	PROPN
alkej-733	227	11	j.	j.	PROPN
alkej-733	227	12	barrionuevo	barrionuevo	PROPN
alkej-733	227	13	,	,	PUNCT
alkej-733	227	14	"	"	PUNCT
alkej-733	227	15	cyber	cyber	ADJ
alkej-733	227	16	-	-	PUNCT
alkej-733	227	17	physical	physical	ADJ
alkej-733	227	18	system	system	NOUN
alkej-733	227	19	for	for	ADP
alkej-733	227	20	quality	quality	NOUN
alkej-733	227	21	control	control	NOUN
alkej-733	227	22	of	of	ADP
alkej-733	227	23	spur	spur	NOUN
alkej-733	227	24	gears	gear	NOUN
alkej-733	227	25	through	through	ADP
alkej-733	227	26	artificial	artificial	ADJ
alkej-733	227	27	vision	vision	NOUN
alkej-733	227	28	techniques	technique	NOUN
alkej-733	227	29	"	"	PUNCT
alkej-733	227	30	,	,	PUNCT
alkej-733	227	31	2019	2019	NUM
alkej-733	227	32	ieee	ieee	NOUN
alkej-733	227	33	fourth	fourth	PROPN
alkej-733	227	34	ecuador	ecuador	PROPN
alkej-733	227	35	technical	technical	ADJ
alkej-733	227	36	chapters	chapter	NOUN
alkej-733	227	37	meeting	meeting	NOUN
alkej-733	227	38	(	(	PUNCT
alkej-733	227	39	etcm	etcm	PROPN
alkej-733	227	40	)	)	PUNCT
alkej-733	227	41	,	,	PUNCT
alkej-733	227	42	guayaquil	guayaquil	PROPN
alkej-733	227	43	,	,	PUNCT
alkej-733	227	44	ecuador	ecuador	NOUN
alkej-733	227	45	,	,	PUNCT
alkej-733	227	46	2019	2019	NUM
alkej-733	227	47	,	,	PUNCT
alkej-733	227	48	pp	pp	ADJ
alkej-733	227	49	.	.	PUNCT
alkej-733	228	1	1	1	NUM
alkej-733	228	2	-	-	SYM
alkej-733	228	3	6	6	NUM
alkej-733	228	4	.	.	PUNCT
alkej-733	229	1	[	[	X
alkej-733	229	2	14	14	NUM
alkej-733	229	3	]	]	PUNCT
alkej-733	229	4	p.	p.	NOUN
alkej-733	229	5	kane	kane	PROPN
alkej-733	229	6	and	and	CCONJ
alkej-733	229	7	a.	a.	NOUN
alkej-733	229	8	andhare	andhare	NOUN
alkej-733	229	9	,	,	PUNCT
alkej-733	229	10	“	"	PUNCT
alkej-733	229	11	end	end	NOUN
alkej-733	229	12	of	of	ADP
alkej-733	229	13	the	the	DET
alkej-733	229	14	assembly	assembly	NOUN
alkej-733	229	15	line	line	NOUN
alkej-733	229	16	gearbox	gearbox	NOUN
alkej-733	229	17	fault	fault	NOUN
alkej-733	229	18	inspection	inspection	NOUN
alkej-733	229	19	using	use	VERB
alkej-733	229	20	artificial	artificial	ADJ
alkej-733	229	21	neural	neural	ADJ
alkej-733	229	22	network	network	NOUN
alkej-733	229	23	and	and	CCONJ
alkej-733	229	24	support	support	VERB
alkej-733	229	25	vector	vector	NOUN
alkej-733	229	26	machines	machine	NOUN
alkej-733	229	27	”	"	PUNCT
alkej-733	229	28	,	,	PUNCT
alkej-733	229	29	international	international	ADJ
alkej-733	229	30	journal	journal	NOUN
alkej-733	229	31	of	of	ADP
alkej-733	229	32	acoustics	acoustic	NOUN
alkej-733	229	33	and	and	CCONJ
alkej-733	229	34	vibrations	vibration	NOUN
alkej-733	229	35	,	,	PUNCT
alkej-733	229	36	vol	vol	NOUN
alkej-733	229	37	.	.	PROPN
alkej-733	229	38	24	24	NUM
alkej-733	229	39	,	,	PUNCT
alkej-733	229	40	issue	issue	NOUN
alkej-733	229	41	1	1	NUM
alkej-733	229	42	,	,	PUNCT
alkej-733	229	43	pp	pp	ADJ
alkej-733	229	44	.	.	PUNCT
alkej-733	230	1	68	68	NUM
alkej-733	230	2	-	-	SYM
alkej-733	230	3	84	84	NUM
alkej-733	230	4	,	,	PUNCT
alkej-733	230	5	mar	mar	PROPN
alkej-733	230	6	2019	2019	NUM
alkej-733	230	7	.	.	PUNCT
alkej-733	231	1	[	[	X
alkej-733	231	2	15	15	NUM
alkej-733	231	3	]	]	PUNCT
alkej-733	231	4	x.	x.	NOUN
alkej-733	231	5	zuo	zuo	PROPN
alkej-733	231	6	,	,	PUNCT
alkej-733	231	7	x.	x.	PROPN
alkej-733	231	8	lei	lei	PROPN
alkej-733	231	9	and	and	CCONJ
alkej-733	231	10	x.	x.	NOUN
alkej-733	231	11	wang	wang	PROPN
alkej-733	231	12	,	,	PUNCT
alkej-733	231	13	"	"	PUNCT
alkej-733	231	14	research	research	NOUN
alkej-733	231	15	on	on	ADP
alkej-733	231	16	machine	machine	NOUN
alkej-733	231	17	vision	vision	NOUN
alkej-733	231	18	measuring	measure	VERB
alkej-733	231	19	method	method	NOUN
alkej-733	231	20	for	for	ADP
alkej-733	231	21	finepitch	finepitch	NOUN
alkej-733	231	22	gears	gear	NOUN
alkej-733	231	23	"	"	PUNCT
alkej-733	231	24	,	,	PUNCT
alkej-733	231	25	proc	proc	NOUN
alkej-733	231	26	.	.	PUNCT
alkej-733	232	1	spie	spie	PROPN
alkej-733	232	2	11343	11343	NUM
alkej-733	232	3	,	,	PUNCT
alkej-733	232	4	ninth	ninth	ADJ
alkej-733	232	5	international	international	ADJ
alkej-733	232	6	symposium	symposium	NOUN
alkej-733	232	7	on	on	ADP
alkej-733	232	8	precision	precision	NOUN
alkej-733	232	9	mechanical	mechanical	ADJ
alkej-733	232	10	measurements	measurement	NOUN
alkej-733	232	11	,	,	PUNCT
alkej-733	232	12	2019	2019	NUM
alkej-733	232	13	.	.	PUNCT
alkej-733	233	1	[	[	X
alkej-733	233	2	16	16	NUM
alkej-733	233	3	]	]	PUNCT
alkej-733	233	4	p.	p.	PROPN
alkej-733	233	5	cao	cao	PROPN
alkej-733	233	6	,	,	PUNCT
alkej-733	233	7	s.	s.	PROPN
alkej-733	233	8	zhang	zhang	PROPN
alkej-733	233	9	and	and	CCONJ
alkej-733	233	10	j.	j.	PROPN
alkej-733	233	11	tang	tang	PROPN
alkej-733	233	12	,	,	PUNCT
alkej-733	233	13	“	"	PUNCT
alkej-733	233	14	preprocessingfree	preprocessingfree	ADJ
alkej-733	233	15	gear	gear	NOUN
alkej-733	233	16	fault	fault	NOUN
alkej-733	233	17	diagnosis	diagnosis	NOUN
alkej-733	233	18	using	use	VERB
alkej-733	233	19	small	small	ADJ
alkej-733	233	20	datasets	dataset	NOUN
alkej-733	233	21	with	with	ADP
alkej-733	233	22	deep	deep	ADJ
alkej-733	233	23	convolutional	convolutional	ADJ
alkej-733	233	24	neural	neural	ADJ
alkej-733	233	25	network	network	NOUN
alkej-733	233	26	-	-	PUNCT
alkej-733	233	27	based	base	VERB
alkej-733	233	28	transfer	transfer	NOUN
alkej-733	233	29	learning	learning	NOUN
alkej-733	233	30	”	"	PUNCT
alkej-733	233	31	,	,	PUNCT
alkej-733	233	32	ieee	ieee	NOUN
alkej-733	233	33	access	access	NOUN
alkej-733	233	34	,	,	PUNCT
alkej-733	233	35	vol	vol	NOUN
alkej-733	233	36	.	.	PROPN
alkej-733	233	37	6	6	NUM
alkej-733	233	38	,	,	PUNCT
alkej-733	233	39	pp	pp	ADJ
alkej-733	233	40	.	.	PUNCT
alkej-733	234	1	26241	26241	NUM
alkej-733	234	2	-	-	SYM
alkej-733	234	3	26253	26253	NUM
alkej-733	234	4	,	,	PUNCT
alkej-733	234	5	may	may	AUX
alkej-733	234	6	2018	2018	NUM
alkej-733	234	7	.	.	PUNCT
alkej-733	235	1	[	[	X
alkej-733	235	2	17	17	NUM
alkej-733	235	3	]	]	PUNCT
alkej-733	235	4	l.	l.	PROPN
alkej-733	235	5	yu	yu	PROPN
alkej-733	235	6	,	,	PUNCT
alkej-733	235	7	x.	x.	PROPN
alkej-733	235	8	yao	yao	PROPN
alkej-733	235	9	,	,	PUNCT
alkej-733	235	10	j.	j.	PROPN
alkej-733	235	11	yang	yang	PROPN
alkej-733	235	12	and	and	CCONJ
alkej-733	235	13	c.	c.	PROPN
alkej-733	235	14	li	li	PROPN
alkej-733	235	15	,	,	PUNCT
alkej-733	235	16	“	"	PUNCT
alkej-733	235	17	gear	gear	NOUN
alkej-733	235	18	fault	fault	NOUN
alkej-733	235	19	diagnosis	diagnosis	NOUN
alkej-733	235	20	through	through	ADP
alkej-733	235	21	vibration	vibration	NOUN
alkej-733	235	22	and	and	CCONJ
alkej-733	235	23	acoustic	acoustic	ADJ
alkej-733	235	24	signal	signal	NOUN
alkej-733	235	25	combination	combination	NOUN
alkej-733	235	26	based	base	VERB
alkej-733	235	27	on	on	ADP
alkej-733	235	28	convolutional	convolutional	ADJ
alkej-733	235	29	neural	neural	ADJ
alkej-733	235	30	network	network	NOUN
alkej-733	235	31	,	,	PUNCT
alkej-733	235	32	”	"	PUNCT
alkej-733	235	33	information	information	NOUN
alkej-733	235	34	,	,	PUNCT
alkej-733	235	35	vol	vol	NOUN
alkej-733	235	36	.	.	PROPN
alkej-733	235	37	11	11	NUM
alkej-733	235	38	,	,	PUNCT
alkej-733	235	39	issue	issue	NOUN
alkej-733	235	40	6	6	NUM
alkej-733	235	41	,	,	PUNCT
alkej-733	235	42	pp	pp	ADJ
alkej-733	235	43	.	.	PUNCT
alkej-733	235	44	266	266	NUM
alkej-733	235	45	,	,	PUNCT
alkej-733	235	46	2020	2020	NUM
alkej-733	235	47	.	.	PUNCT
alkej-733	236	1	[	[	X
alkej-733	236	2	18	18	NUM
alkej-733	236	3	]	]	PUNCT
alkej-733	236	4	k.	k.	PROPN
alkej-733	236	5	d.	d.	PROPN
alkej-733	236	6	joshi	joshi	PROPN
alkej-733	236	7	,	,	PUNCT
alkej-733	236	8	v.	v.	ADP
alkej-733	236	9	chauhan	chauhan	PROPN
alkej-733	236	10	and	and	CCONJ
alkej-733	236	11	b.	b.	PROPN
alkej-733	236	12	surgenor	surgenor	PROPN
alkej-733	236	13	,	,	PUNCT
alkej-733	236	14	“	"	PUNCT
alkej-733	236	15	a	a	DET
alkej-733	236	16	flexible	flexible	ADJ
alkej-733	236	17	machine	machine	NOUN
alkej-733	236	18	vision	vision	NOUN
alkej-733	236	19	system	system	NOUN
alkej-733	236	20	for	for	ADP
alkej-733	236	21	small	small	ADJ
alkej-733	236	22	part	part	NOUN
alkej-733	236	23	inspection	inspection	NOUN
alkej-733	236	24	based	base	VERB
alkej-733	236	25	on	on	ADP
alkej-733	236	26	a	a	DET
alkej-733	236	27	hybrid	hybrid	ADJ
alkej-733	236	28	svm	svm	PROPN
alkej-733	236	29	/	/	SYM
alkej-733	236	30	ann	ann	PROPN
alkej-733	236	31	approach	approach	NOUN
alkej-733	236	32	”	"	PUNCT
alkej-733	236	33	,	,	PUNCT
alkej-733	236	34	j	j	PROPN
alkej-733	236	35	intell	intell	PROPN
alkej-733	236	36	manuf	manuf	PROPN
alkej-733	236	37	,	,	PUNCT
alkej-733	236	38	vol	vol	NOUN
alkej-733	236	39	.	.	PROPN
alkej-733	236	40	31	31	NUM
alkej-733	236	41	,	,	PUNCT
alkej-733	236	42	pp	pp	ADJ
alkej-733	236	43	.	.	PUNCT
alkej-733	236	44	103	103	NUM
alkej-733	236	45	–	–	PUNCT
alkej-733	236	46	125	125	NUM
alkej-733	236	47	,	,	PUNCT
alkej-733	236	48	2020	2020	NUM
alkej-733	236	49	.	.	PUNCT
alkej-733	237	1	[	[	X
alkej-733	237	2	19	19	NUM
alkej-733	237	3	]	]	PUNCT
alkej-733	237	4	m.	m.	NOUN
alkej-733	237	5	y.	y.	PROPN
alkej-733	237	6	sallom	sallom	PROPN
alkej-733	237	7	,	,	PUNCT
alkej-733	237	8	“	"	PUNCT
alkej-733	237	9	machine	machine	NOUN
alkej-733	237	10	vision	vision	NOUN
alkej-733	237	11	application	application	NOUN
alkej-733	237	12	in	in	ADP
alkej-733	237	13	manufacturing	manufacturing	NOUN
alkej-733	237	14	:	:	PUNCT
alkej-733	237	15	inspection	inspection	NOUN
alkej-733	237	16	of	of	ADP
alkej-733	237	17	dimensions	dimension	NOUN
alkej-733	237	18	,	,	PUNCT
alkej-733	237	19	”	"	PUNCT
alkej-733	237	20	the	the	DET
alkej-733	237	21	iraqi	iraqi	ADJ
alkej-733	237	22	journal	journal	NOUN
alkej-733	237	23	for	for	ADP
alkej-733	237	24	mechanical	mechanical	ADJ
alkej-733	237	25	and	and	CCONJ
alkej-733	237	26	material	material	NOUN
alkej-733	237	27	engineering	engineering	NOUN
alkej-733	237	28	,	,	PUNCT
alkej-733	237	29	vol	vol	NOUN
alkej-733	237	30	.	.	PROPN
alkej-733	237	31	16	16	NUM
alkej-733	237	32	,	,	PUNCT
alkej-733	237	33	issue	issue	NOUN
alkej-733	237	34	3	3	NUM
alkej-733	237	35	,	,	PUNCT
alkej-733	237	36	2016	2016	NUM
alkej-733	237	37	.	.	PUNCT
alkej-733	238	1	[	[	X
alkej-733	238	2	20	20	NUM
alkej-733	238	3	]	]	PUNCT
alkej-733	238	4	j.	j.	PROPN
alkej-733	238	5	wang	wang	PROPN
alkej-733	238	6	,	,	PUNCT
alkej-733	238	7	p.	p.	NOUN
alkej-733	238	8	fu	fu	PROPN
alkej-733	238	9	and	and	CCONJ
alkej-733	238	10	r.	r.	PROPN
alkej-733	238	11	x.	x.	PROPN
alkej-733	238	12	gao	gao	PROPN
alkej-733	238	13	,	,	PUNCT
alkej-733	238	14	“	"	PUNCT
alkej-733	238	15	machine	machine	NOUN
alkej-733	238	16	vision	vision	NOUN
alkej-733	238	17	intelligence	intelligence	NOUN
alkej-733	238	18	for	for	ADP
alkej-733	238	19	product	product	NOUN
alkej-733	238	20	defect	defect	NOUN
alkej-733	238	21	inspection	inspection	NOUN
alkej-733	238	22	based	base	VERB
alkej-733	238	23	on	on	ADP
alkej-733	238	24	deep	deep	ADJ
alkej-733	238	25	learning	learning	NOUN
alkej-733	238	26	and	and	CCONJ
alkej-733	238	27	hough	hough	PROPN
alkej-733	238	28	transform	transform	PROPN
alkej-733	238	29	”	"	PUNCT
alkej-733	238	30	,	,	PUNCT
alkej-733	238	31	journal	journal	NOUN
alkej-733	238	32	of	of	ADP
alkej-733	238	33	manufacturing	manufacturing	NOUN
alkej-733	238	34	systems	system	NOUN
alkej-733	238	35	,	,	PUNCT
alkej-733	238	36	vol	vol	NOUN
alkej-733	238	37	.	.	PROPN
alkej-733	239	1	51	51	NUM
alkej-733	239	2	,	,	PUNCT
alkej-733	239	3	pp	pp	ADJ
alkej-733	239	4	.	.	PUNCT
alkej-733	240	1	52	52	NUM
alkej-733	240	2	-	-	SYM
alkej-733	240	3	60	60	NUM
alkej-733	240	4	,	,	PUNCT
alkej-733	240	5	2019	2019	NUM
alkej-733	240	6	.	.	PUNCT
alkej-733	241	1	[	[	X
alkej-733	241	2	21	21	NUM
alkej-733	241	3	]	]	PUNCT
alkej-733	241	4	m.	m.	NOUN
alkej-733	241	5	alencastre	alencastre	PROPN
alkej-733	241	6	-	-	PUNCT
alkej-733	241	7	miranda	miranda	PROPN
alkej-733	241	8	,	,	PUNCT
alkej-733	241	9	r.	r.	PROPN
alkej-733	241	10	r.	r.	PROPN
alkej-733	241	11	johnson	johnson	PROPN
alkej-733	241	12	and	and	CCONJ
alkej-733	241	13	h.	h.	PROPN
alkej-733	241	14	i.	i.	PROPN
alkej-733	241	15	krebs	krebs	PROPN
alkej-733	241	16	,	,	PUNCT
alkej-733	241	17	“	"	PUNCT
alkej-733	241	18	convolutional	convolutional	ADJ
alkej-733	241	19	neural	neural	ADJ
alkej-733	241	20	networks	network	NOUN
alkej-733	241	21	and	and	CCONJ
alkej-733	241	22	transfer	transfer	NOUN
alkej-733	241	23	learning	learning	NOUN
alkej-733	241	24	for	for	ADP
alkej-733	241	25	quality	quality	NOUN
alkej-733	241	26	inspection	inspection	NOUN
alkej-733	241	27	of	of	ADP
alkej-733	241	28	different	different	ADJ
alkej-733	241	29	sugarcane	sugarcane	NOUN
alkej-733	241	30	varieties	variety	NOUN
alkej-733	241	31	”	"	PUNCT
alkej-733	241	32	,	,	PUNCT
alkej-733	241	33	ieee	ieee	NOUN
alkej-733	241	34	transactions	transaction	NOUN
alkej-733	241	35	on	on	ADP
alkej-733	241	36	industrial	industrial	ADJ
alkej-733	241	37	informatics	informatic	NOUN
alkej-733	241	38	,	,	PUNCT
alkej-733	241	39	issue	issue	NOUN
alkej-733	241	40	1941	1941	NUM
alkej-733	241	41	-	-	SYM
alkej-733	241	42	0050	0050	NUM
alkej-733	241	43	,	,	PUNCT
alkej-733	241	44	pp	pp	ADJ
alkej-733	241	45	.	.	PUNCT
alkej-733	242	1	1	1	NUM
alkej-733	242	2	-	-	SYM
alkej-733	242	3	1	1	NUM
alkej-733	242	4	,	,	PUNCT
alkej-733	242	5	2020	2020	NUM
alkej-733	242	6	.	.	PUNCT
alkej-733	243	1	[	[	X
alkej-733	243	2	22	22	NUM
alkej-733	243	3	]	]	X
alkej-733	243	4	y.j	y.j	PROPN
alkej-733	243	5	.	.	PROPN
alkej-733	243	6	cruz	cruz	PROPN
alkej-733	243	7	,	,	PUNCT
alkej-733	243	8	m.	m.	PROPN
alkej-733	243	9	rivas	rivas	PROPN
alkej-733	243	10	,	,	PUNCT
alkej-733	243	11	r.	r.	PROPN
alkej-733	243	12	quiza	quiza	PROPN
alkej-733	243	13	,	,	PUNCT
alkej-733	243	14	g.	g.	PROPN
alkej-733	243	15	beruvides	beruvides	PROPN
alkej-733	243	16	and	and	CCONJ
alkej-733	243	17	r.	r.	PROPN
alkej-733	243	18	e.	e.	PROPN
alkej-733	243	19	haber	haber	PROPN
alkej-733	243	20	,	,	PUNCT
alkej-733	243	21	“	"	PUNCT
alkej-733	243	22	computer	computer	NOUN
alkej-733	243	23	vision	vision	NOUN
alkej-733	243	24	system	system	NOUN
alkej-733	243	25	for	for	ADP
alkej-733	243	26	welding	welding	NOUN
alkej-733	243	27	inspection	inspection	NOUN
alkej-733	243	28	of	of	ADP
alkej-733	243	29	liquefied	liquefy	VERB
alkej-733	243	30	petroleum	petroleum	NOUN
alkej-733	243	31	gas	gas	NOUN
alkej-733	243	32	pressure	pressure	NOUN
alkej-733	243	33	vessels	vessel	NOUN
alkej-733	243	34	based	base	VERB
alkej-733	243	35	on	on	ADP
alkej-733	243	36	combined	combine	VERB
alkej-733	243	37	digital	digital	ADJ
alkej-733	243	38	image	image	NOUN
alkej-733	243	39	processing	processing	NOUN
alkej-733	243	40	and	and	CCONJ
alkej-733	243	41	deep	deep	ADJ
alkej-733	243	42	learning	learning	NOUN
alkej-733	243	43	techniques	technique	NOUN
alkej-733	243	44	”	"	PUNCT
alkej-733	243	45	,	,	PUNCT
alkej-733	243	46	sensors	sensor	NOUN
alkej-733	243	47	,	,	PUNCT
alkej-733	243	48	vol	vol	NOUN
alkej-733	243	49	.	.	PROPN
alkej-733	243	50	20	20	NUM
alkej-733	243	51	,	,	PUNCT
alkej-733	243	52	issue	issue	NOUN
alkej-733	243	53	16	16	NUM
alkej-733	243	54	,	,	PUNCT
alkej-733	243	55	pp	pp	ADJ
alkej-733	243	56	.	.	PUNCT
alkej-733	244	1	4505	4505	NUM
alkej-733	244	2	,	,	PUNCT
alkej-733	244	3	2020	2020	NUM
alkej-733	244	4	.	.	PUNCT
alkej-733	245	1	[	[	X
alkej-733	245	2	23	23	NUM
alkej-733	245	3	]	]	X
alkej-733	245	4	y.	y.	PROPN
alkej-733	245	5	yang	yang	PROPN
alkej-733	245	6	,	,	PUNCT
alkej-733	245	7	l.	l.	PROPN
alkej-733	245	8	pan	pan	PROPN
alkej-733	245	9	,	,	PUNCT
alkej-733	245	10	j.	j.	PROPN
alkej-733	245	11	ma	ma	PROPN
alkej-733	245	12	,	,	PUNCT
alkej-733	245	13	r.	r.	PROPN
alkej-733	245	14	yang	yang	PROPN
alkej-733	245	15	,	,	PUNCT
alkej-733	245	16	y.	y.	PROPN
alkej-733	245	17	zhu	zhu	PROPN
alkej-733	245	18	,	,	PUNCT
alkej-733	245	19	y.	y.	PROPN
alkej-733	245	20	yang	yang	PROPN
alkej-733	245	21	and	and	CCONJ
alkej-733	245	22	l.	l.	PROPN
alkej-733	245	23	zhang	zhang	PROPN
alkej-733	245	24	,	,	PUNCT
alkej-733	245	25	“	"	PUNCT
alkej-733	245	26	a	a	DET
alkej-733	245	27	high	high	ADJ
alkej-733	245	28	-	-	PUNCT
alkej-733	245	29	performance	performance	NOUN
alkej-733	245	30	deep	deep	ADJ
alkej-733	245	31	learning	learning	NOUN
alkej-733	245	32	algorithm	algorithm	NOUN
alkej-733	245	33	for	for	ADP
alkej-733	245	34	the	the	DET
alkej-733	245	35	automated	automate	VERB
alkej-733	245	36	optical	optical	ADJ
alkej-733	245	37	inspection	inspection	NOUN
alkej-733	245	38	of	of	ADP
alkej-733	245	39	laser	laser	NOUN
alkej-733	245	40	welding	welding	NOUN
alkej-733	245	41	,	,	PUNCT
alkej-733	245	42	”	"	PUNCT
alkej-733	245	43	appl	appl	NOUN
alkej-733	245	44	.	.	PUNCT
alkej-733	246	1	sci	sci	PROPN
alkej-733	246	2	.	.	PROPN
alkej-733	246	3	,	,	PUNCT
alkej-733	246	4	vol	vol	NOUN
alkej-733	246	5	.	.	PROPN
alkej-733	246	6	10	10	NUM
alkej-733	246	7	,	,	PUNCT
alkej-733	246	8	issue	issue	NOUN
alkej-733	246	9	3	3	NUM
alkej-733	246	10	,	,	PUNCT
alkej-733	246	11	pp	pp	ADJ
alkej-733	246	12	.	.	PUNCT
alkej-733	246	13	933	933	NUM
alkej-733	246	14	,	,	PUNCT
alkej-733	246	15	2020	2020	NUM
alkej-733	246	16	.	.	PUNCT
alkej-733	247	1	[	[	X
alkej-733	247	2	24	24	NUM
alkej-733	247	3	]	]	X
alkej-733	247	4	c.	c.	PROPN
alkej-733	247	5	beltr´an	beltr´an	PROPN
alkej-733	247	6	-	-	PUNCT
alkej-733	247	7	gonz´alez	gonz´alez	NOUN
alkej-733	247	8	,	,	PUNCT
alkej-733	247	9	m.	m.	NOUN
alkej-733	247	10	bustero	bustero	PROPN
alkej-733	247	11	and	and	CCONJ
alkej-733	247	12	a.	a.	PROPN
alkej-733	247	13	del	del	PROPN
alkej-733	247	14	bue	bue	PROPN
alkej-733	247	15	,	,	PUNCT
alkej-733	247	16	“	"	PUNCT
alkej-733	247	17	external	external	ADJ
alkej-733	247	18	and	and	CCONJ
alkej-733	247	19	internal	internal	ADJ
alkej-733	247	20	quality	quality	NOUN
alkej-733	247	21	inspection	inspection	NOUN
alkej-733	247	22	of	of	ADP
alkej-733	247	23	aerospace	aerospace	NOUN
alkej-733	247	24	components	component	NOUN
alkej-733	247	25	”	"	PUNCT
alkej-733	247	26	,	,	PUNCT
alkej-733	247	27	ieee	ieee	NOUN
alkej-733	247	28	7th	7th	ADJ
alkej-733	247	29	international	international	ADJ
alkej-733	247	30	workshop	workshop	NOUN
alkej-733	247	31	on	on	ADP
alkej-733	247	32	metrology	metrology	NOUN
alkej-733	247	33	for	for	ADP
alkej-733	247	34	aerospace	aerospace	NOUN
alkej-733	247	35	(	(	PUNCT
alkej-733	247	36	metroaerospace	metroaerospace	NOUN
alkej-733	247	37	)	)	PUNCT
alkej-733	247	38	,	,	PUNCT
alkej-733	247	39	pisa	pisa	PROPN
alkej-733	247	40	,	,	PUNCT
alkej-733	247	41	italy	italy	PROPN
alkej-733	247	42	,	,	PUNCT
alkej-733	247	43	2020	2020	NUM
alkej-733	247	44	,	,	PUNCT
alkej-733	247	45	pp	pp	ADV
alkej-733	247	46	.	.	PUNCT
alkej-733	247	47	351	351	NUM
alkej-733	247	48	-	-	SYM
alkej-733	247	49	355	355	NUM
alkej-733	247	50	.	.	PUNCT
alkej-733	248	1	ahmed	ahmed	PROPN
alkej-733	248	2	najah	najah	PROPN
alkej-733	248	3	al	al	PROPN
alkej-733	248	4	-	-	PUNCT
alkej-733	248	5	khwarizmi	khwarizmi	PROPN
alkej-733	248	6	engineering	engineering	NOUN
alkej-733	248	7	journal	journal	PROPN
alkej-733	248	8	,	,	PUNCT
alkej-733	248	9	vol	vol	NOUN
alkej-733	248	10	.	.	PROPN
alkej-733	248	11	17	17	NUM
alkej-733	248	12	,	,	PUNCT
alkej-733	248	13	no	no	INTJ
alkej-733	248	14	.	.	NOUN
alkej-733	248	15	1	1	NUM
alkej-733	248	16	,	,	PUNCT
alkej-733	248	17	p.p	p.p	PROPN
alkej-733	248	18	.	.	PROPN
alkej-733	248	19	1118	1118	NUM
alkej-733	248	20	(	(	PUNCT
alkej-733	248	21	2021	2021	NUM
alkej-733	248	22	)	)	PUNCT
alkej-733	248	23	11	11	NUM
alkej-733	249	1	[	[	X
alkej-733	249	2	25	25	NUM
alkej-733	249	3	]	]	PUNCT
alkej-733	249	4	j.	j.	PROPN
alkej-733	249	5	deng	deng	PROPN
alkej-733	249	6	,	,	PUNCT
alkej-733	249	7	w.	w.	PROPN
alkej-733	249	8	dong	dong	PROPN
alkej-733	249	9	,	,	PUNCT
alkej-733	249	10	r.	r.	PROPN
alkej-733	249	11	socher	socher	PROPN
alkej-733	249	12	,	,	PUNCT
alkej-733	249	13	l.j	l.j	PROPN
alkej-733	249	14	.	.	PROPN
alkej-733	249	15	li	li	PROPN
alkej-733	249	16	,	,	PUNCT
alkej-733	249	17	k.	k.	PROPN
alkej-733	249	18	li	li	PROPN
alkej-733	249	19	,	,	PUNCT
alkej-733	249	20	and	and	CCONJ
alkej-733	249	21	l.	l.	PROPN
alkej-733	249	22	feifei	feifei	PROPN
alkej-733	249	23	,	,	PUNCT
alkej-733	249	24	“	"	PUNCT
alkej-733	249	25	imagenet	imagenet	NOUN
alkej-733	249	26	:	:	PUNCT
alkej-733	249	27	a	a	DET
alkej-733	249	28	large	large	ADJ
alkej-733	249	29	-	-	PUNCT
alkej-733	249	30	scale	scale	NOUN
alkej-733	249	31	hierarchical	hierarchical	ADJ
alkej-733	249	32	image	image	NOUN
alkej-733	249	33	database	database	NOUN
alkej-733	249	34	”	"	PUNCT
alkej-733	249	35	,	,	PUNCT
alkej-733	249	36	ieee	ieee	NOUN
alkej-733	249	37	conference	conference	NOUN
alkej-733	249	38	on	on	ADP
alkej-733	249	39	computer	computer	NOUN
alkej-733	249	40	vision	vision	NOUN
alkej-733	249	41	and	and	CCONJ
alkej-733	249	42	pattern	pattern	NOUN
alkej-733	249	43	recognition	recognition	NOUN
alkej-733	249	44	(	(	PUNCT
alkej-733	249	45	cvpr	cvpr	NOUN
alkej-733	249	46	)	)	PUNCT
alkej-733	249	47	,	,	PUNCT
alkej-733	249	48	florida	florida	PROPN
alkej-733	249	49	,	,	PUNCT
alkej-733	249	50	2009	2009	NUM
alkej-733	249	51	,	,	PUNCT
alkej-733	249	52	pp	pp	ADJ
alkej-733	249	53	.	.	PUNCT
alkej-733	249	54	248255	248255	NUM
alkej-733	249	55	.	.	PUNCT
alkej-733	250	1	[	[	X
alkej-733	250	2	26	26	NUM
alkej-733	250	3	]	]	X
alkej-733	250	4	g.	g.	PROPN
alkej-733	250	5	bonaccorso	bonaccorso	PROPN
alkej-733	250	6	,	,	PUNCT
alkej-733	250	7	machine	machine	NOUN
alkej-733	250	8	learning	learning	NOUN
alkej-733	250	9	algorithms	algorithm	NOUN
alkej-733	250	10	:	:	PUNCT
alkej-733	250	11	popular	popular	ADJ
alkej-733	250	12	algorithms	algorithm	NOUN
alkej-733	250	13	for	for	ADP
alkej-733	250	14	data	data	NOUN
alkej-733	250	15	science	science	NOUN
alkej-733	250	16	and	and	CCONJ
alkej-733	250	17	machine	machine	NOUN
alkej-733	250	18	learning	learning	NOUN
alkej-733	250	19	,	,	PUNCT
alkej-733	250	20	2nd	2nd	ADJ
alkej-733	250	21	ed	ed	NOUN
alkej-733	250	22	.	.	PUNCT
alkej-733	251	1	birmingham	birmingham	PROPN
alkej-733	251	2	:	:	PUNCT
alkej-733	251	3	packt	packt	PROPN
alkej-733	251	4	publishing	publishing	NOUN
alkej-733	251	5	,	,	PUNCT
alkej-733	251	6	2018	2018	NUM
alkej-733	251	7	.	.	PUNCT
alkej-733	252	1	[	[	X
alkej-733	252	2	27	27	NUM
alkej-733	252	3	]	]	X
alkej-733	252	4	n.	n.	PROPN
alkej-733	252	5	mahony	mahony	PROPN
alkej-733	252	6	,	,	PUNCT
alkej-733	252	7	t.	t.	PROPN
alkej-733	252	8	murphy	murphy	PROPN
alkej-733	252	9	,	,	PUNCT
alkej-733	252	10	k.	k.	PROPN
alkej-733	252	11	panduru	panduru	PROPN
alkej-733	252	12	,	,	PUNCT
alkej-733	252	13	d.	d.	PROPN
alkej-733	252	14	riordan	riordan	PROPN
alkej-733	252	15	and	and	CCONJ
alkej-733	252	16	j.	j.	PROPN
alkej-733	252	17	walsh	walsh	PROPN
alkej-733	252	18	.	.	PUNCT
alkej-733	253	1	“	"	PUNCT
alkej-733	253	2	improving	improve	VERB
alkej-733	253	3	controller	controller	NOUN
alkej-733	253	4	performance	performance	NOUN
alkej-733	253	5	in	in	ADP
alkej-733	253	6	a	a	DET
alkej-733	253	7	powder	powder	NOUN
alkej-733	253	8	blending	blend	VERB
alkej-733	253	9	process	process	NOUN
alkej-733	253	10	using	use	VERB
alkej-733	253	11	predictive	predictive	ADJ
alkej-733	253	12	control	control	NOUN
alkej-733	253	13	”	"	PUNCT
alkej-733	253	14	,	,	PUNCT
alkej-733	253	15	irish	irish	ADJ
alkej-733	253	16	signals	signal	NOUN
alkej-733	253	17	and	and	CCONJ
alkej-733	253	18	systems	system	NOUN
alkej-733	253	19	conference	conference	NOUN
alkej-733	253	20	(	(	PUNCT
alkej-733	253	21	issc	issc	NOUN
alkej-733	253	22	)	)	PUNCT
alkej-733	253	23	,	,	PUNCT
alkej-733	253	24	killarney	killarney	NOUN
alkej-733	253	25	,	,	PUNCT
alkej-733	253	26	2017	2017	NUM
alkej-733	253	27	,	,	PUNCT
alkej-733	253	28	pp	pp	ADJ
alkej-733	253	29	.	.	PUNCT
alkej-733	254	1	1	1	NUM
alkej-733	254	2	-	-	SYM
alkej-733	254	3	6	6	NUM
alkej-733	254	4	.	.	PUNCT
alkej-733	255	1	[	[	X
alkej-733	255	2	28	28	NUM
alkej-733	255	3	]	]	X
alkej-733	255	4	j.	j.	PROPN
alkej-733	255	5	walsh	walsh	PROPN
alkej-733	255	6	,	,	PUNCT
alkej-733	255	7	n.	n.	PROPN
alkej-733	255	8	mahony	mahony	PROPN
alkej-733	255	9	,	,	PUNCT
alkej-733	255	10	s.	s.	PROPN
alkej-733	255	11	campbell	campbell	PROPN
alkej-733	255	12	,	,	PUNCT
alkej-733	255	13	a.	a.	PROPN
alkej-733	255	14	carvalho	carvalho	PROPN
alkej-733	255	15	,	,	PUNCT
alkej-733	255	16	l.	l.	PROPN
alkej-733	255	17	krpalkova	krpalkova	PROPN
alkej-733	255	18	,	,	PUNCT
alkej-733	255	19	g.	g.	PROPN
alkej-733	255	20	velascohernandez	velascohernandez	PROPN
alkej-733	255	21	,	,	PUNCT
alkej-733	255	22	et	et	PROPN
alkej-733	255	23	al	al	PROPN
alkej-733	255	24	.	.	PUNCT
alkej-733	256	1	“	"	PUNCT
alkej-733	256	2	deep	deep	ADJ
alkej-733	256	3	learning	learning	NOUN
alkej-733	256	4	vs.	vs.	ADP
alkej-733	256	5	traditional	traditional	ADJ
alkej-733	256	6	computer	computer	NOUN
alkej-733	256	7	vision	vision	NOUN
alkej-733	256	8	”	"	PUNCT
alkej-733	256	9	,	,	PUNCT
alkej-733	256	10	computer	computer	NOUN
alkej-733	256	11	vision	vision	NOUN
alkej-733	256	12	conference	conference	PROPN
alkej-733	256	13	(	(	PUNCT
alkej-733	256	14	cvc	cvc	NOUN
alkej-733	256	15	)	)	PUNCT
alkej-733	256	16	,	,	PUNCT
alkej-733	256	17	nevada	nevada	PROPN
alkej-733	256	18	,	,	PUNCT
alkej-733	256	19	2019	2019	NUM
alkej-733	256	20	,	,	PUNCT
alkej-733	256	21	pp	pp	ADJ
alkej-733	256	22	.	.	PUNCT
alkej-733	257	1	128	128	NUM
alkej-733	257	2	-	-	SYM
alkej-733	257	3	144	144	NUM
alkej-733	257	4	.	.	PUNCT
alkej-733	258	1	[	[	X
alkej-733	258	2	29	29	NUM
alkej-733	258	3	]	]	PUNCT
alkej-733	258	4	k.	k.	PROPN
alkej-733	258	5	fukushima	fukushima	PROPN
alkej-733	258	6	,	,	PUNCT
alkej-733	258	7	“	"	PUNCT
alkej-733	258	8	neocognitron	neocognitron	PROPN
alkej-733	258	9	:	:	PUNCT
alkej-733	258	10	a	a	DET
alkej-733	258	11	selforganizing	selforganize	VERB
alkej-733	258	12	neural	neural	ADJ
alkej-733	258	13	network	network	NOUN
alkej-733	258	14	model	model	NOUN
alkej-733	258	15	for	for	ADP
alkej-733	258	16	a	a	DET
alkej-733	258	17	mechanism	mechanism	NOUN
alkej-733	258	18	of	of	ADP
alkej-733	258	19	pattern	pattern	NOUN
alkej-733	258	20	recognition	recognition	NOUN
alkej-733	258	21	unaffected	unaffected	ADJ
alkej-733	258	22	by	by	ADP
alkej-733	258	23	shift	shift	NOUN
alkej-733	258	24	in	in	ADP
alkej-733	258	25	position	position	NOUN
alkej-733	258	26	”	"	PUNCT
alkej-733	258	27	,	,	PUNCT
alkej-733	258	28	biol	biol	PROPN
alkej-733	258	29	.	.	PUNCT
alkej-733	259	1	cybernetics	cybernetic	NOUN
alkej-733	259	2	,	,	PUNCT
alkej-733	259	3	vol	vol	NOUN
alkej-733	259	4	.	.	PROPN
alkej-733	259	5	36	36	NUM
alkej-733	259	6	,	,	PUNCT
alkej-733	259	7	pp	pp	ADJ
alkej-733	259	8	.	.	PUNCT
alkej-733	260	1	193	193	NUM
alkej-733	260	2	-	-	SYM
alkej-733	260	3	202	202	NUM
alkej-733	260	4	,	,	PUNCT
alkej-733	260	5	apr	apr	PROPN
alkej-733	260	6	1980	1980	NUM
alkej-733	260	7	.	.	PUNCT
alkej-733	261	1	[	[	X
alkej-733	261	2	30	30	NUM
alkej-733	261	3	]	]	X
alkej-733	261	4	i.	i.	PROPN
alkej-733	261	5	goodfellow	goodfellow	PROPN
alkej-733	261	6	,	,	PUNCT
alkej-733	261	7	y.	y.	PROPN
alkej-733	261	8	bengio	bengio	PROPN
alkej-733	261	9	and	and	CCONJ
alkej-733	261	10	a.	a.	NOUN
alkej-733	261	11	courville	courville	NOUN
alkej-733	261	12	,	,	PUNCT
alkej-733	261	13	deep	deep	ADJ
alkej-733	261	14	learning	learning	NOUN
alkej-733	261	15	,	,	PUNCT
alkej-733	261	16	ma	ma	PROPN
alkej-733	261	17	:	:	PUNCT
alkej-733	261	18	mit	mit	PROPN
alkej-733	261	19	press	press	NOUN
alkej-733	261	20	,	,	PUNCT
alkej-733	261	21	2016	2016	NUM
alkej-733	261	22	.	.	PUNCT
alkej-733	262	1	[	[	X
alkej-733	262	2	31	31	NUM
alkej-733	262	3	]	]	X
alkej-733	262	4	d.	d.	PROPN
alkej-733	262	5	scherer	scherer	PROPN
alkej-733	262	6	,	,	PUNCT
alkej-733	262	7	a.	a.	NOUN
alkej-733	262	8	muller	muller	PROPN
alkej-733	262	9	and	and	CCONJ
alkej-733	262	10	s.	s.	PROPN
alkej-733	262	11	behnke	behnke	PROPN
alkej-733	262	12	,	,	PUNCT
alkej-733	262	13	“	"	PUNCT
alkej-733	262	14	evaluation	evaluation	NOUN
alkej-733	262	15	of	of	ADP
alkej-733	262	16	pooling	pool	VERB
alkej-733	262	17	operations	operation	NOUN
alkej-733	262	18	in	in	ADP
alkej-733	262	19	convolutional	convolutional	ADJ
alkej-733	262	20	architectures	architecture	NOUN
alkej-733	262	21	for	for	ADP
alkej-733	262	22	object	object	NOUN
alkej-733	262	23	recognition	recognition	NOUN
alkej-733	262	24	”	"	PUNCT
alkej-733	262	25	,	,	PUNCT
alkej-733	262	26	icann’10	icann’10	ADJ
alkej-733	262	27	proceedings	proceeding	NOUN
alkej-733	262	28	of	of	ADP
alkej-733	262	29	the	the	DET
alkej-733	262	30	20th	20th	ADJ
alkej-733	262	31	international	international	ADJ
alkej-733	262	32	conference	conference	NOUN
alkej-733	262	33	on	on	ADP
alkej-733	262	34	artificial	artificial	ADJ
alkej-733	262	35	neural	neural	ADJ
alkej-733	262	36	networks	network	NOUN
alkej-733	262	37	:	:	PUNCT
alkej-733	262	38	part	part	NOUN
alkej-733	262	39	iii	iii	PROPN
alkej-733	262	40	,	,	PUNCT
alkej-733	262	41	greece	greece	PROPN
alkej-733	262	42	,	,	PUNCT
alkej-733	262	43	2010	2010	NUM
alkej-733	262	44	,	,	PUNCT
alkej-733	262	45	pp	pp	ADP
alkej-733	262	46	.	.	PUNCT
alkej-733	263	1	92–101	92–101	NUM
alkej-733	263	2	.	.	PUNCT
alkej-733	264	1	[	[	X
alkej-733	264	2	32	32	NUM
alkej-733	264	3	]	]	X
alkej-733	264	4	m.d	m.d	PROPN
alkej-733	264	5	.	.	PROPN
alkej-733	264	6	zeiler	zeiler	PROPN
alkej-733	264	7	and	and	CCONJ
alkej-733	264	8	r.	r.	PROPN
alkej-733	264	9	fergus	fergus	PROPN
alkej-733	264	10	,	,	PUNCT
alkej-733	264	11	“	"	PUNCT
alkej-733	264	12	visualizing	visualize	VERB
alkej-733	264	13	and	and	CCONJ
alkej-733	264	14	understanding	understand	VERB
alkej-733	264	15	convolutional	convolutional	ADJ
alkej-733	264	16	networks	network	NOUN
alkej-733	264	17	,	,	PUNCT
alkej-733	264	18	”	"	PUNCT
alkej-733	264	19	european	european	ADJ
alkej-733	264	20	conference	conference	NOUN
alkej-733	264	21	on	on	ADP
alkej-733	264	22	computer	computer	NOUN
alkej-733	264	23	vision	vision	PROPN
alkej-733	264	24	,	,	PUNCT
alkej-733	264	25	switzerland	switzerland	PROPN
alkej-733	264	26	,	,	PUNCT
alkej-733	264	27	2014	2014	NUM
alkej-733	264	28	,	,	PUNCT
alkej-733	264	29	pp	pp	ADV
alkej-733	264	30	.	.	PUNCT
alkej-733	264	31	818	818	NUM
alkej-733	264	32	-	-	SYM
alkej-733	264	33	833	833	NUM
alkej-733	264	34	.	.	PUNCT
alkej-733	265	1	[	[	X
alkej-733	265	2	33	33	NUM
alkej-733	265	3	]	]	PUNCT
alkej-733	265	4	a.	a.	NOUN
alkej-733	265	5	krizhevsky	krizhevsky	PROPN
alkej-733	265	6	,	,	PUNCT
alkej-733	265	7	i.	i.	PROPN
alkej-733	265	8	sutskever	sutskever	PROPN
alkej-733	265	9	and	and	CCONJ
alkej-733	265	10	g.e	g.e	PROPN
alkej-733	265	11	.	.	PROPN
alkej-733	265	12	hinton	hinton	PROPN
alkej-733	265	13	,	,	PUNCT
alkej-733	265	14	“	"	PUNCT
alkej-733	265	15	imagenet	imagenet	NOUN
alkej-733	265	16	classification	classification	NOUN
alkej-733	265	17	with	with	ADP
alkej-733	265	18	deep	deep	ADJ
alkej-733	265	19	convolutional	convolutional	ADJ
alkej-733	265	20	neural	neural	ADJ
alkej-733	265	21	networks	network	NOUN
alkej-733	265	22	”	"	PUNCT
alkej-733	265	23	,	,	PUNCT
alkej-733	265	24	advances	advance	NOUN
alkej-733	265	25	in	in	ADP
alkej-733	265	26	neural	neural	ADJ
alkej-733	265	27	information	information	NOUN
alkej-733	265	28	processing	processing	NOUN
alkej-733	265	29	systems	system	NOUN
alkej-733	265	30	,	,	PUNCT
alkej-733	265	31	vol	vol	NOUN
alkej-733	265	32	.	.	PROPN
alkej-733	265	33	25	25	NUM
alkej-733	265	34	,	,	PUNCT
alkej-733	265	35	issue	issue	NOUN
alkej-733	265	36	2	2	NUM
alkej-733	265	37	,	,	PUNCT
alkej-733	265	38	pp.1097–1105	pp.1097–1105	PROPN
alkej-733	265	39	,	,	PUNCT
alkej-733	265	40	jan	jan	PROPN
alkej-733	265	41	2012	2012	NUM
alkej-733	265	42	.	.	PUNCT
alkej-733	266	1	[	[	X
alkej-733	266	2	34	34	NUM
alkej-733	266	3	]	]	PUNCT
alkej-733	266	4	a.	a.	NOUN
alkej-733	266	5	krizhevsky	krizhevsky	NOUN
alkej-733	266	6	,	,	PUNCT
alkej-733	266	7	“	"	PUNCT
alkej-733	266	8	convolutional	convolutional	ADJ
alkej-733	266	9	deep	deep	ADJ
alkej-733	266	10	belief	belief	NOUN
alkej-733	266	11	networks	network	NOUN
alkej-733	266	12	on	on	ADP
alkej-733	266	13	cifar-10	cifar-10	PROPN
alkej-733	266	14	,	,	PUNCT
alkej-733	266	15	”	"	PUNCT
alkej-733	266	16	may	may	PROPN
alkej-733	266	17	2010	2010	NUM
alkej-733	266	18	.	.	PUNCT
alkej-733	267	1	[	[	X
alkej-733	267	2	35	35	NUM
alkej-733	267	3	]	]	SYM
alkej-733	267	4	y.lecun	y.lecun	PROPN
alkej-733	267	5	,	,	PUNCT
alkej-733	267	6	l.d	l.d	PROPN
alkej-733	267	7	.	.	PROPN
alkej-733	267	8	jackel	jackel	PROPN
alkej-733	267	9	,	,	PUNCT
alkej-733	267	10	l.	l.	PROPN
alkej-733	267	11	bottou	bottou	PROPN
alkej-733	267	12	,	,	PUNCT
alkej-733	267	13	c.	c.	PROPN
alkej-733	267	14	cortes	cortes	PROPN
alkej-733	267	15	,	,	PUNCT
alkej-733	267	16	j.	j.	PROPN
alkej-733	267	17	denker	denker	PROPN
alkej-733	267	18	,	,	PUNCT
alkej-733	267	19	h.	h.	PROPN
alkej-733	267	20	drucker	drucker	PROPN
alkej-733	267	21	et	et	PROPN
alkej-733	267	22	al	al	PROPN
alkej-733	267	23	.	.	PUNCT
alkej-733	268	1	“	"	PUNCT
alkej-733	268	2	learning	learn	VERB
alkej-733	268	3	algorithms	algorithm	NOUN
alkej-733	268	4	for	for	ADP
alkej-733	268	5	classification	classification	NOUN
alkej-733	268	6	:	:	PUNCT
alkej-733	268	7	a	a	DET
alkej-733	268	8	comparison	comparison	NOUN
alkej-733	268	9	on	on	ADP
alkej-733	268	10	handwritten	handwritten	ADJ
alkej-733	268	11	digit	digit	NOUN
alkej-733	268	12	recognition	recognition	NOUN
alkej-733	268	13	”	"	PUNCT
alkej-733	268	14	,	,	PUNCT
alkej-733	268	15	proc	proc	NOUN
alkej-733	268	16	.	.	PUNCT
alkej-733	269	1	12th	12th	ADJ
alkej-733	269	2	int	int	NOUN
alkej-733	269	3	.	.	PUNCT
alkej-733	270	1	conf	conf	NOUN
alkej-733	270	2	.	.	PUNCT
alkej-733	271	1	pattern	pattern	NOUN
alkej-733	271	2	recognition	recognition	NOUN
alkej-733	271	3	and	and	CCONJ
alkej-733	271	4	neural	neural	ADJ
alkej-733	271	5	networks	network	NOUN
alkej-733	271	6	,	,	PUNCT
alkej-733	271	7	singapore	singapore	PROPN
alkej-733	271	8	,	,	PUNCT
alkej-733	271	9	1995	1995	NUM
alkej-733	271	10	,	,	PUNCT
alkej-733	271	11	page	page	NOUN
alkej-733	271	12	261	261	NUM
alkej-733	271	13	-	-	SYM
alkej-733	271	14	276	276	NUM
alkej-733	271	15	.	.	PUNCT
alkej-733	272	1	[	[	X
alkej-733	272	2	36	36	NUM
alkej-733	272	3	]	]	X
alkej-733	272	4	c.k	c.k	PROPN
alkej-733	272	5	.	.	PROPN
alkej-733	272	6	shie	shie	PROPN
alkej-733	272	7	,	,	PUNCT
alkej-733	272	8	c.h	c.h	PROPN
alkej-733	272	9	.	.	PROPN
alkej-733	272	10	chuang	chuang	PROPN
alkej-733	272	11	,	,	PUNCT
alkej-733	272	12	c.n	c.n	PROPN
alkej-733	272	13	.	.	PROPN
alkej-733	272	14	chou	chou	PROPN
alkej-733	272	15	,	,	PUNCT
alkej-733	272	16	m.h	m.h	PROPN
alkej-733	272	17	.	.	PROPN
alkej-733	272	18	wu	wu	PROPN
alkej-733	272	19	and	and	CCONJ
alkej-733	272	20	e.y	e.y	PROPN
alkej-733	272	21	.	.	PROPN
alkej-733	272	22	chang	chang	PROPN
alkej-733	272	23	,	,	PUNCT
alkej-733	272	24	2015	2015	NUM
alkej-733	272	25	,	,	PUNCT
alkej-733	272	26	august	august	PROPN
alkej-733	272	27	.	.	PUNCT
alkej-733	273	1	“	"	PUNCT
alkej-733	273	2	transfer	transfer	NOUN
alkej-733	273	3	representation	representation	NOUN
alkej-733	273	4	learning	learning	NOUN
alkej-733	273	5	for	for	ADP
alkej-733	273	6	medical	medical	ADJ
alkej-733	273	7	image	image	NOUN
alkej-733	273	8	analysis	analysis	NOUN
alkej-733	273	9	”	"	PUNCT
alkej-733	273	10	,	,	PUNCT
alkej-733	273	11	37th	37th	ADJ
alkej-733	273	12	annual	annual	ADJ
alkej-733	273	13	international	international	ADJ
alkej-733	273	14	conference	conference	NOUN
alkej-733	273	15	of	of	ADP
alkej-733	273	16	the	the	DET
alkej-733	273	17	ieee	ieee	PROPN
alkej-733	273	18	,	,	PUNCT
alkej-733	273	19	milan	milan	PROPN
alkej-733	273	20	,	,	PUNCT
alkej-733	273	21	2015	2015	NUM
alkej-733	273	22	,	,	PUNCT
alkej-733	273	23	pp	pp	ADJ
alkej-733	273	24	.	.	PUNCT
alkej-733	274	1	711	711	NUM
alkej-733	274	2	-	-	SYM
alkej-733	274	3	714	714	NUM
alkej-733	274	4	.	.	PUNCT
alkej-733	275	1	[	[	X
alkej-733	275	2	37	37	NUM
alkej-733	275	3	]	]	PUNCT
alkej-733	275	4	r.	r.	PROPN
alkej-733	275	5	zhang	zhang	PROPN
alkej-733	275	6	,	,	PUNCT
alkej-733	275	7	h.	h.	PROPN
alkej-733	275	8	tao	tao	PROPN
alkej-733	275	9	,	,	PUNCT
alkej-733	275	10	l.	l.	PROPN
alkej-733	275	11	wu	wu	PROPN
alkej-733	275	12	and	and	CCONJ
alkej-733	275	13	y.	y.	PROPN
alkej-733	275	14	guan	guan	PROPN
alkej-733	275	15	,	,	PUNCT
alkej-733	275	16	“	"	PUNCT
alkej-733	275	17	transfer	transfer	NOUN
alkej-733	275	18	learning	learning	NOUN
alkej-733	275	19	with	with	ADP
alkej-733	275	20	neural	neural	ADJ
alkej-733	275	21	networks	network	NOUN
alkej-733	275	22	for	for	ADP
alkej-733	275	23	bearing	bear	VERB
alkej-733	275	24	fault	fault	NOUN
alkej-733	275	25	diagnosis	diagnosis	NOUN
alkej-733	275	26	in	in	ADP
alkej-733	275	27	changing	change	VERB
alkej-733	275	28	working	work	VERB
alkej-733	275	29	conditions	condition	NOUN
alkej-733	275	30	”	"	PUNCT
alkej-733	275	31	,	,	PUNCT
alkej-733	275	32	ieee	ieee	NOUN
alkej-733	275	33	access	access	NOUN
alkej-733	275	34	,	,	PUNCT
alkej-733	275	35	vol	vol	NOUN
alkej-733	275	36	.	.	PROPN
alkej-733	275	37	5	5	NUM
alkej-733	275	38	,	,	PUNCT
alkej-733	275	39	pp.1434714357	pp.1434714357	PROPN
alkej-733	275	40	,	,	PUNCT
alkej-733	275	41	june	june	PROPN
alkej-733	275	42	2017	2017	NUM
alkej-733	275	43	.	.	PUNCT
alkej-733	276	1	[	[	X
alkej-733	276	2	38	38	NUM
alkej-733	276	3	]	]	PUNCT
alkej-733	276	4	m.	m.	NOUN
alkej-733	276	5	d.	d.	PROPN
alkej-733	276	6	zeiler	zeiler	PROPN
alkej-733	276	7	and	and	CCONJ
alkej-733	276	8	r.	r.	PROPN
alkej-733	276	9	fergus	fergus	PROPN
alkej-733	276	10	,	,	PUNCT
alkej-733	276	11	“	"	PUNCT
alkej-733	276	12	stochastic	stochastic	ADJ
alkej-733	276	13	pooling	pooling	NOUN
alkej-733	276	14	for	for	ADP
alkej-733	276	15	regularization	regularization	NOUN
alkej-733	276	16	of	of	ADP
alkej-733	276	17	deep	deep	ADJ
alkej-733	276	18	convolutional	convolutional	ADJ
alkej-733	276	19	neural	neural	ADJ
alkej-733	276	20	networks	network	NOUN
alkej-733	276	21	”	"	PUNCT
alkej-733	276	22	,	,	PUNCT
alkej-733	276	23	1st	1st	ADJ
alkej-733	276	24	international	international	ADJ
alkej-733	276	25	conference	conference	NOUN
alkej-733	276	26	on	on	ADP
alkej-733	276	27	learning	learn	VERB
alkej-733	276	28	representations	representation	NOUN
alkej-733	276	29	,	,	PUNCT
alkej-733	276	30	scottsdale	scottsdale	NOUN
alkej-733	276	31	,	,	PUNCT
alkej-733	276	32	2013	2013	NUM
alkej-733	276	33	.	.	PUNCT
alkej-733	277	1	[	[	X
alkej-733	277	2	39	39	NUM
alkej-733	277	3	]	]	PUNCT
alkej-733	277	4	p.	p.	NOUN
alkej-733	277	5	sermanet	sermanet	NOUN
alkej-733	277	6	,	,	PUNCT
alkej-733	277	7	d.	d.	PROPN
alkej-733	277	8	eigen	eigen	PROPN
alkej-733	277	9	,	,	PUNCT
alkej-733	277	10	x.	x.	PROPN
alkej-733	277	11	zhang	zhang	PROPN
alkej-733	277	12	,	,	PUNCT
alkej-733	277	13	m.	m.	PROPN
alkej-733	277	14	mathieu	mathieu	PROPN
alkej-733	277	15	,	,	PUNCT
alkej-733	277	16	r.	r.	PROPN
alkej-733	277	17	fergus	fergus	PROPN
alkej-733	277	18	and	and	CCONJ
alkej-733	277	19	y.	y.	PROPN
alkej-733	277	20	lecun	lecun	PROPN
alkej-733	277	21	,	,	PUNCT
alkej-733	277	22	“	"	PUNCT
alkej-733	277	23	overfeat	overfeat	ADJ
alkej-733	277	24	:	:	PUNCT
alkej-733	277	25	integrated	integrated	ADJ
alkej-733	277	26	recognition	recognition	NOUN
alkej-733	277	27	,	,	PUNCT
alkej-733	277	28	localization	localization	NOUN
alkej-733	277	29	and	and	CCONJ
alkej-733	277	30	detection	detection	NOUN
alkej-733	277	31	using	use	VERB
alkej-733	277	32	convolutional	convolutional	ADJ
alkej-733	277	33	networks	network	NOUN
alkej-733	277	34	,	,	PUNCT
alkej-733	277	35	”	"	PUNCT
alkej-733	277	36	2nd	2nd	ADJ
alkej-733	277	37	international	international	ADJ
alkej-733	277	38	conference	conference	NOUN
alkej-733	277	39	on	on	ADP
alkej-733	277	40	learning	learn	VERB
alkej-733	277	41	representations	representation	NOUN
alkej-733	277	42	,	,	PUNCT
alkej-733	277	43	banff	banff	NOUN
alkej-733	277	44	,	,	PUNCT
alkej-733	277	45	2014	2014	NUM
alkej-733	277	46	.	.	PUNCT
alkej-733	278	1	[	[	X
alkej-733	278	2	40	40	NUM
alkej-733	278	3	]	]	X
alkej-733	278	4	g.	g.	PROPN
alkej-733	278	5	huang	huang	PROPN
alkej-733	278	6	,	,	PUNCT
alkej-733	278	7	z.	z.	PROPN
alkej-733	278	8	liu	liu	PROPN
alkej-733	278	9	,	,	PUNCT
alkej-733	278	10	l.	l.	PROPN
alkej-733	278	11	van	van	PROPN
alkej-733	278	12	der	der	PROPN
alkej-733	278	13	maaten	maaten	VERB
alkej-733	278	14	and	and	CCONJ
alkej-733	278	15	k.	k.	PROPN
alkej-733	278	16	q.	q.	PROPN
alkej-733	278	17	weinberger	weinberger	PROPN
alkej-733	278	18	,	,	PUNCT
alkej-733	278	19	“	"	PUNCT
alkej-733	278	20	densely	densely	ADV
alkej-733	278	21	connected	connected	ADJ
alkej-733	278	22	convolutional	convolutional	ADJ
alkej-733	278	23	networks	network	NOUN
alkej-733	278	24	”	"	PUNCT
alkej-733	278	25	,	,	PUNCT
alkej-733	278	26	ieee	ieee	NOUN
alkej-733	278	27	conference	conference	NOUN
alkej-733	278	28	on	on	ADP
alkej-733	278	29	computer	computer	NOUN
alkej-733	278	30	vision	vision	NOUN
alkej-733	278	31	and	and	CCONJ
alkej-733	278	32	pattern	pattern	NOUN
alkej-733	278	33	recognition	recognition	NOUN
alkej-733	278	34	(	(	PUNCT
alkej-733	278	35	cvpr	cvpr	NOUN
alkej-733	278	36	)	)	PUNCT
alkej-733	278	37	,	,	PUNCT
alkej-733	278	38	hawaii	hawaii	PROPN
alkej-733	278	39	,	,	PUNCT
alkej-733	278	40	2017	2017	NUM
alkej-733	278	41	,	,	PUNCT
alkej-733	278	42	pp	pp	ADJ
alkej-733	278	43	.	.	PUNCT
alkej-733	279	1	2261	2261	NUM
alkej-733	279	2	-	-	SYM
alkej-733	279	3	2269	2269	NUM
alkej-733	279	4	.	.	PUNCT
alkej-733	280	1	[	[	X
alkej-733	280	2	41	41	NUM
alkej-733	280	3	]	]	PUNCT
alkej-733	280	4	a.	a.	NOUN
alkej-733	280	5	meiseles	meisele	NOUN
alkej-733	280	6	and	and	CCONJ
alkej-733	280	7	l.	l.	PROPN
alkej-733	280	8	rokach	rokach	PROPN
alkej-733	280	9	,	,	PUNCT
alkej-733	280	10	“	"	PUNCT
alkej-733	280	11	source	source	NOUN
alkej-733	280	12	model	model	NOUN
alkej-733	280	13	selection	selection	NOUN
alkej-733	280	14	for	for	ADP
alkej-733	280	15	deep	deep	ADJ
alkej-733	280	16	learning	learning	NOUN
alkej-733	280	17	in	in	ADP
alkej-733	280	18	the	the	DET
alkej-733	280	19	time	time	NOUN
alkej-733	280	20	series	series	PROPN
alkej-733	280	21	domain	domain	PROPN
alkej-733	280	22	”	"	PUNCT
alkej-733	280	23	,	,	PUNCT
alkej-733	280	24	ieee	ieee	NOUN
alkej-733	280	25	access	access	NOUN
alkej-733	280	26	,	,	PUNCT
alkej-733	280	27	vol	vol	NOUN
alkej-733	280	28	.	.	PROPN
alkej-733	280	29	8	8	NUM
alkej-733	280	30	,	,	PUNCT
alkej-733	280	31	pp	pp	ADJ
alkej-733	280	32	.	.	PUNCT
alkej-733	280	33	6190	6190	NUM
alkej-733	280	34	-	-	SYM
alkej-733	280	35	6200	6200	NUM
alkej-733	280	36	,	,	PUNCT
alkej-733	280	37	jan	jan	PROPN
alkej-733	280	38	2020	2020	NUM
alkej-733	280	39	.	.	PUNCT
alkej-733	281	1	[	[	X
alkej-733	281	2	42	42	NUM
alkej-733	281	3	]	]	X
alkej-733	281	4	h.	h.	PROPN
alkej-733	281	5	m.	m.	PROPN
alkej-733	281	6	bui	bui	PROPN
alkej-733	281	7	,	,	PUNCT
alkej-733	281	8	m.	m.	NOUN
alkej-733	281	9	lech	lech	PROPN
alkej-733	281	10	,	,	PUNCT
alkej-733	281	11	e.	e.	PROPN
alkej-733	281	12	cheng	cheng	PROPN
alkej-733	281	13	,	,	PUNCT
alkej-733	281	14	k.	k.	PROPN
alkej-733	281	15	neville	neville	PROPN
alkej-733	281	16	and	and	CCONJ
alkej-733	281	17	i.	i.	PROPN
alkej-733	281	18	s.	s.	PROPN
alkej-733	281	19	burnett	burnett	PROPN
alkej-733	281	20	,	,	PUNCT
alkej-733	281	21	"	"	PUNCT
alkej-733	281	22	using	use	VERB
alkej-733	281	23	grayscale	grayscale	NOUN
alkej-733	281	24	images	image	NOUN
alkej-733	281	25	for	for	ADP
alkej-733	281	26	object	object	NOUN
alkej-733	281	27	recognition	recognition	NOUN
alkej-733	281	28	with	with	ADP
alkej-733	281	29	convolutionalrecursive	convolutionalrecursive	ADJ
alkej-733	281	30	neural	neural	ADJ
alkej-733	281	31	network	network	NOUN
alkej-733	281	32	,	,	PUNCT
alkej-733	281	33	"	"	PUNCT
alkej-733	281	34	2016	2016	NUM
alkej-733	281	35	ieee	ieee	NOUN
alkej-733	281	36	sixth	sixth	ADJ
alkej-733	281	37	international	international	ADJ
alkej-733	281	38	conference	conference	NOUN
alkej-733	281	39	on	on	ADP
alkej-733	281	40	communications	communication	NOUN
alkej-733	281	41	and	and	CCONJ
alkej-733	281	42	electronics	electronic	NOUN
alkej-733	281	43	(	(	PUNCT
alkej-733	281	44	icce	icce	NOUN
alkej-733	281	45	)	)	PUNCT
alkej-733	281	46	,	,	PUNCT
alkej-733	281	47	ha	ha	INTJ
alkej-733	281	48	long	long	ADJ
alkej-733	281	49	,	,	PUNCT
alkej-733	281	50	2016	2016	NUM
alkej-733	281	51	,	,	PUNCT
alkej-733	281	52	pp	pp	ADP
alkej-733	281	53	.	.	PUNCT
alkej-733	281	54	321	321	NUM
alkej-733	281	55	-	-	SYM
alkej-733	281	56	325	325	NUM
alkej-733	281	57	.	.	PUNCT
alkej-733	282	1	[	[	X
alkej-733	282	2	43	43	NUM
alkej-733	282	3	]	]	PUNCT
alkej-733	282	4	a.	a.	NOUN
alkej-733	282	5	najah	najah	PROPN
alkej-733	282	6	,	,	PUNCT
alkej-733	282	7	f.	f.	PROPN
alkej-733	282	8	f.	f.	PROPN
alkej-733	282	9	mustafa	mustafa	PROPN
alkej-733	282	10	and	and	CCONJ
alkej-733	282	11	w.	w.	PROPN
alkej-733	282	12	s.	s.	PROPN
alkej-733	282	13	hacham	hacham	PROPN
alkej-733	282	14	,	,	PUNCT
alkej-733	282	15	“	"	PUNCT
alkej-733	282	16	effect	effect	NOUN
alkej-733	282	17	of	of	ADP
alkej-733	282	18	environmental	environmental	ADJ
alkej-733	282	19	factors	factor	NOUN
alkej-733	282	20	on	on	ADP
alkej-733	282	21	the	the	DET
alkej-733	282	22	accuracy	accuracy	NOUN
alkej-733	282	23	of	of	ADP
alkej-733	282	24	a	a	DET
alkej-733	282	25	quality	quality	NOUN
alkej-733	282	26	inspection	inspection	NOUN
alkej-733	282	27	system	system	NOUN
alkej-733	282	28	based	base	VERB
alkej-733	282	29	on	on	ADP
alkej-733	282	30	transfer	transfer	NOUN
alkej-733	282	31	learning	learning	NOUN
alkej-733	282	32	”	"	PUNCT
alkej-733	282	33	,	,	PUNCT
alkej-733	282	34	submitted	submit	VERB
alkej-733	282	35	to	to	ADP
alkej-733	282	36	alkhwarizmi	alkhwarizmi	NOUN
alkej-733	282	37	engineering	engineering	NOUN
alkej-733	282	38	journal	journal	PROPN
alkej-733	282	39	.	.	PUNCT
alkej-733	283	1	(	(	PUNCT
alkej-733	283	2	2021	2021	NUM
alkej-733	283	3	)	)	PUNCT
alkej-733	283	4	112	112	NUM
alkej-733	283	5	،	،	NOUN
alkej-733	283	6	صفحة	صفحة	PROPN
alkej-733	283	7	1	1	PROPN
alkej-733	283	8	،	،	PROPN
alkej-733	283	9	العدد17دجلة	العدد17دجلة	PROPN
alkej-733	283	10	الخوارزمي	الخوارزمي	VERB
alkej-733	283	11	الهندسية	الهندسية	PROPN
alkej-733	283	12	المجلم	المجلم	PROPN
alkej-733	283	13	احمد	احمد	PROPN
alkej-733	283	14	نجاح	نجاح	PROPN
alkej-733	283	15	النقل	النقل	PROPN
alkej-733	283	16	بكلف	بكلف	ADP
alkej-733	283	17	قليلة	قليلة	PROPN
alkej-733	283	18	بتعلم	بتعلم	PROPN
alkej-733	283	19	البناء	البناء	PROPN
alkej-733	283	20	نظام	نظام	PROPN
alkej-733	283	21	فحص	فحص	PROPN
alkej-733	283	22	نوعية	نوعية	PROPN
alkej-733	283	23	عالي	عالي	PROPN
alkej-733	283	24	الدقة	الدقة	PROPN
alkej-733	283	25	مبني	مبني	NOUN
alkej-733	283	26	على	على	NOUN
alkej-733	283	27	*	*	PUNCT
alkej-733	283	28	*	*	PUNCT
alkej-733	283	29	*	*	NOUN
alkej-733	283	30	حجام	حجام	PROPN
alkej-733	283	31	خضير	خضير	PROPN
alkej-733	283	32	وسام	وسام	PROPN
alkej-733	284	1	سعدي	سعدي	PROPN
alkej-733	284	2	*	*	PROPN
alkej-733	284	3	*	*	PROPN
alkej-733	284	4	فائز	فائز	PROPN
alkej-733	284	5	فوزي	فوزي	PROPN
alkej-733	284	6	مصطفى	مصطفى	PROPN
alkej-733	284	7	*	*	PROPN
alkej-733	284	8	نجاحاحمد	نجاحاحمد	NOUN
alkej-733	284	9	|	|	ADV
alkej-733	284	10	كلية	كلية	NOUN
alkej-733	284	11	الهندسة	الهندسة	NOUN
alkej-733	284	12	الخوارزمي|	الخوارزمي|	VERB
alkej-733	284	13	جامعة	جامعة	PROPN
alkej-733	284	14	بغداد	بغداد	PROPN
alkej-733	284	15	*	*	SYM
alkej-733	284	16	،	،	PROPN
alkej-733	284	17	*	*	PROPN
alkej-733	284	18	*	*	PUNCT
alkej-733	284	19	قسم	قسم	PROPN
alkej-733	284	20	هندسة	هندسة	PROPN
alkej-733	284	21	التصنيع	التصنيع	PROPN
alkej-733	284	22	المؤتمت	المؤتمت	PROPN
alkej-733	284	23	*	*	PUNCT
alkej-733	284	24	*	*	PUNCT
alkej-733	284	25	قسم	قسم	PROPN
alkej-733	284	26	هندسة	هندسة	NOUN
alkej-733	284	27	الميكاترونكس|	الميكاترونكس|	NUM
alkej-733	284	28	كلية	كلية	NOUN
alkej-733	284	29	الهندسة	الهندسة	NOUN
alkej-733	284	30	الخوارزمي|	الخوارزمي|	VERB
alkej-733	284	31	جامعة	جامعة	PROPN
alkej-733	284	32	بغداد	بغداد	PROPN
alkej-733	284	33	*	*	SYM
alkej-733	284	34	faizalrawy@yahoo.comالبريد	faizalrawy@yahoo.comالبريد	PROPN
alkej-733	284	35	االلكتروني	االلكتروني	NOUN
alkej-733	284	36	:	:	PUNCT
alkej-733	284	37	ahmednajah5049@gmail.com	ahmednajah5049@gmail.com	X
alkej-733	285	1	:	:	PUNCT
alkej-733	285	2	البريد	البريد	VERB
alkej-733	285	3	االلكتروني	االلكتروني	NOUN
alkej-733	285	4	wisam@kecbu.uobaghdad.edu.iq	wisam@kecbu.uobaghdad.edu.iq	NOUN
alkej-733	285	5	:	:	PUNCT
alkej-733	285	6	البريد	البريد	VERB
alkej-733	285	7	االلكتروني	االلكتروني	NOUN
alkej-733	285	8	الخالصة	الخالصة	NOUN
alkej-733	285	9	ة	ة	PRON
alkej-733	285	10	القياسيصفات	القياسيصفات	NOUN
alkej-733	285	11	ها	ها	ADP
alkej-733	285	12	بالمواتقدير	بالمواتقدير	ADJ
alkej-733	285	13	جودة	جودة	PROPN
alkej-733	285	14	البضائع	البضائع	PROPN
alkej-733	285	15	المنتجة	المنتجة	PROPN
alkej-733	285	16	ومقارنتفيها	ومقارنتفيها	PROPN
alkej-733	285	17	،	،	PROPN
alkej-733	285	18	حيث	حيث	PROPN
alkej-733	285	19	يتم	يتم	PROPN
alkej-733	285	20	يكل	يكل	PROPN
alkej-733	285	21	مسار	مسار	PROPN
alkej-733	285	22	إنتاج	إنتاج	PROPN
alkej-733	285	23	تعتبر	تعتبر	PROPN
alkej-733	285	24	مرحلة	مرحلة	PROPN
alkej-733	285	25	فحص	فحص	PROPN
alkej-733	285	26	جودة	جودة	PROPN
alkej-733	285	27	المنتجات	المنتجات	NOUN
alkej-733	286	1	من	من	INTJ
alkej-733	286	2	اهم	اهم	NOUN
alkej-733	286	3	المراحل	المراحل	NOUN
alkej-733	286	4	في	في	SCONJ
alkej-733	286	5	بية	بية	PROPN
alkej-733	286	6	التي	التي	PROPN
alkej-733	286	7	تتطلرق	تتطلرق	PROPN
alkej-733	286	8	اليدويدية	اليدويدية	VERB
alkej-733	286	9	على	على	PROPN
alkej-733	286	10	الطوسائل	الطوسائل	PROPN
alkej-733	286	11	الفحص	الفحص	PROPN
alkej-733	286	12	التقلالمطلوبة	التقلالمطلوبة	PROPN
alkej-733	286	13	.	.	PUNCT
alkej-733	287	1	تحدد	تحدد	VERB
alkej-733	287	2	األدوات	األدوات	PROPN
alkej-733	287	3	المستخدمة	المستخدمة	VERB
alkej-733	287	4	في	في	DET
alkej-733	287	5	الفحص	الفحص	PROPN
alkej-733	287	6	وكيفية	وكيفية	PROPN
alkej-733	287	7	إجراء	إجراء	PROPN
alkej-733	287	8	الفحص	الفحص	PROPN
alkej-733	287	9	مدى	مدى	PROPN
alkej-733	287	10	تعقيد	تعقيد	PROPN
alkej-733	287	11	النظام	النظام	PROPN
alkej-733	287	12	.	.	PUNCT
alkej-733	288	1	تعتمد	تعتمد	PROPN
alkej-733	288	2	أكثر	أكثر	PROPN
alkej-733	288	3	تكون	تكون	VERB
alkej-733	288	4	،	،	PROPN
alkej-733	288	5	ية	ية	PROPN
alkej-733	288	6	الكمبيوترة	الكمبيوترة	PROPN
alkej-733	288	7	مثل	مثل	PROPN
alkej-733	288	8	رؤحديثال	رؤحديثال	PROPN
alkej-733	288	9	الفحص	الفحص	PROPN
alkej-733	288	10	الحالية	الحالية	ADP
alkej-733	288	11	التي	التي	PROPN
alkej-733	288	12	تستخدم	تستخدم	PROPN
alkej-733	288	13	التقنيات	التقنيات	PROPN
alkej-733	288	14	الذكيةفإن	الذكيةفإن	PROPN
alkej-733	288	15	أنظمة	أنظمة	PROPN
alkej-733	288	16	،	،	PROPN
alkej-733	288	17	تكاليف	تكاليف	PROPN
alkej-733	288	18	مختلفة	مختلفة	PROPN
alkej-733	288	19	واستهالًكا	واستهالًكا	PROPN
alkej-733	288	20	كبيًرا	كبيًرا	PROPN
alkej-733	288	21	للوقت	للوقت	PROPN
alkej-733	288	22	،	،	PROPN
alkej-733	288	23	على	على	PROPN
alkej-733	288	24	العكس	العكس	PROPN
alkej-733	288	25	من	من	DET
alkej-733	288	26	ذلك	ذلك	PROPN
alkej-733	288	27	خراج	خراج	PROPN
alkej-733	288	28	الخصائصختيار	الخصائصختيار	NOUN
alkej-733	288	29	واستتقليدي	واستتقليدي	PROPN
alkej-733	288	30	قائم	قائم	PROPN
alkej-733	289	1	على	على	NOUN
alkej-733	289	2	رؤية	رؤية	NOUN
alkej-733	289	3	الكمبيوتر	الكمبيوتر	NOUN
alkej-733	290	1	كبير	كبير	PROPN
alkej-733	291	1	جدًا	جدًا	PROPN
alkej-733	291	2	،	،	PROPN
alkej-733	291	3	نظًرا	نظًرا	PROPN
alkej-733	291	4	لمشكلة	لمشكلة	ADJ
alkej-733	291	5	احجم	احجم	PROPN
alkej-733	291	6	العمل	العمل	PROPN
alkej-733	291	7	المطلوب	المطلوب	PROPN
alkej-733	291	8	لبناء	لبناء	PROPN
alkej-733	291	9	نظام	نظام	PROPN
alkej-733	291	10	فحص	فحص	PROPN
alkej-733	292	1	فأن	فأن	PROPN
alkej-733	292	2	ومع	ومع	PROPN
alkej-733	292	3	ذلك	ذلك	PROPN
alkej-733	292	4	،	،	PROPN
alkej-733	292	5	،	،	PROPN
alkej-733	292	6	دقة	دقة	NOUN
alkej-733	292	7	وكفاءة	وكفاءة	NOUN
alkej-733	293	1	يدويًا	يدويًا	PROPN
alkej-733	293	2	من	من	INTJ
alkej-733	293	3	الصور	الصور	PROPN
alkej-733	293	4	الرقمية	الرقمية	PROPN
alkej-733	293	5	،	،	X
alkej-733	293	6	مما	مما	PROPN
alkej-733	293	7	ينتج	ينتج	PROPN
alkej-733	293	8	عنه	عنه	PROPN
alkej-733	293	9	أيًضا	أيًضا	PROPN
alkej-733	293	10	تكاليف	تكاليف	PROPN
alkej-733	293	11	العمالة	العمالة	PROPN
alkej-733	293	12	لمهندسي	لمهندسي	PROPN
alkej-733	293	13	النظام	النظام	PROPN
alkej-733	293	14	.	.	PUNCT
alkej-733	294	1	تم	تم	PROPN
alkej-733	294	2	تصميم	تصميم	PROPN
alkej-733	294	3	كلفة	كلفة	PROPN
alkej-733	294	4	منخفضة.تبقة	منخفضة.تبقة	PROPN
alkej-733	294	5	وعاٍل	وعاٍل	VERB
alkej-733	294	6	من	من	DET
alkej-733	294	7	الد	الد	PROPN
alkej-733	294	8	نهًجا	نهًجا	NOUN
alkej-733	294	9	متبنى	متبنى	VERB
alkej-733	294	10	يعتمد	يعتمد	NOUN
alkej-733	294	11	على	على	PROPN
alkej-733	294	12	الشبكات	الشبكات	PROPN
alkej-733	294	13	العصبية	العصبية	PROPN
alkej-733	294	14	التالفيفية	التالفيفية	PROPN
alkej-733	294	15	لتصميم	لتصميم	PROPN
alkej-733	295	1	نظام	نظام	PROPN
alkej-733	295	2	لفحص	لفحص	PROPN
alkej-733	295	3	الجودة	الجودة	NOUN
alkej-733	295	4	بمستوى	بمستوى	NOUN
alkej-733	295	5	في	في	ADP
alkej-733	295	6	هذا	هذا	NOUN
alkej-733	295	7	البحث	البحث	NOUN
alkej-733	295	8	،	،	PROPN
alkej-733	295	9	تم	تم	PROPN
alkej-733	295	10	تقديم	تقديم	PROPN
alkej-733	295	11	لفة	لفة	PROPN
alkej-733	295	12	.	.	PUNCT
alkej-733	296	1	تم	تم	NOUN
alkej-733	296	2	صالحة	صالحة	NOUN
alkej-733	296	3	أو	أو	PRON
alkej-733	296	4	تا	تا	INTJ
alkej-733	296	5	لى	لى	PROPN
alkej-733	296	6	حالةإالنظام	حالةإالنظام	ADJ
alkej-733	296	7	باستخدام	باستخدام	NOUN
alkej-733	296	8	التعلم	التعلم	VERB
alkej-733	296	9	بالنقل	بالنقل	ADJ
alkej-733	296	10	لنقل	لنقل	PROPN
alkej-733	296	11	الطبقات	الطبقات	PROPN
alkej-733	297	1	من	من	PRON
alkej-733	297	2	نموذج	نموذج	PROPN
alkej-733	297	3	تم	تم	AUX
alkej-733	297	4	تدريبه	تدريبه	PROPN
alkej-733	297	5	مسبقًا	مسبقًا	PROPN
alkej-733	297	6	وشبكة	وشبكة	NOUN
alkej-733	297	7	عصبية	عصبية	NOUN
alkej-733	297	8	متصلة	متصلة	PROPN
alkej-733	297	9	بالكامل	بالكامل	PROPN
alkej-733	297	10	لتصنيف	لتصنيف	PROPN
alkej-733	297	11	حالة	حالة	PROPN
alkej-733	297	12	المنتج	المنتج	PROPN
alkej-733	297	13	اليف	اليف	PROPN
alkej-733	298	1	قة	قة	PROPN
alkej-733	298	2	عالية	عالية	PROPN
alkej-733	298	3	بتكدستويات	بتكدستويات	PROPN
alkej-733	298	4	ملتقييم	ملتقييم	PROPN
alkej-733	298	5	النظام	النظام	PROPN
alkej-733	298	6	.	.	PUNCT
alkej-733	299	1	أظهرت	أظهرت	PROPN
alkej-733	299	2	النتائج	النتائج	PROPN
alkej-733	299	3	التجريبية	التجريبية	PROPN
alkej-733	299	4	وتم	وتم	PROPN
alkej-733	299	5	استخدام	استخدام	PROPN
alkej-733	299	6	ثالث	ثالث	PROPN
alkej-733	299	7	كاميرات	كاميرات	PROPN
alkej-733	299	8	بدقة	بدقة	PROPN
alkej-733	299	9	مختلفة	مختلفة	PROPN
alkej-733	299	10	دام	دام	PROPN
alkej-733	299	11	التروس	التروس	PROPN
alkej-733	299	12	الحلزونية	الحلزونية	PROPN
alkej-733	299	13	كحالة	كحالة	PROPN
alkej-733	299	14	دراسيةاستخ	دراسيةاستخ	NOUN
alkej-733	299	15	منخفضة	منخفضة	PROPN
alkej-733	299	16	واستخراج	واستخراج	NOUN
alkej-733	299	17	تلقائي	تلقائي	NOUN
alkej-733	299	18	للميزات	للميزات	PROPN
alkej-733	299	19	.	.	PUNCT
alkej-733	300	1	mailto:faizalrawy@yahoo.com	mailto:faizalrawy@yahoo.com	X
alkej-733	300	2	mailto:ahmednajah5049@gmail.com	mailto:ahmednajah5049@gmail.com	PROPN
alkej-733	300	3	mailto:wisam@kecbu.uobaghdad.edu.iq	mailto:wisam@kecbu.uobaghdad.edu.iq	PROPN