id	sid	tid	token	lemma	pos
ajst-30881	1	1	academic	academic	ADJ
ajst-30881	1	2	journal	journal	NOUN
ajst-30881	1	3	of	of	ADP
ajst-30881	1	4	science	science	NOUN
ajst-30881	1	5	and	and	CCONJ
ajst-30881	1	6	technology	technology	NOUN
ajst-30881	1	7	issn	issn	NOUN
ajst-30881	1	8	:	:	PUNCT
ajst-30881	1	9	2771	2771	NUM
ajst-30881	1	10	-	-	SYM
ajst-30881	1	11	3032	3032	NUM
ajst-30881	1	12	|	|	NOUN
ajst-30881	1	13	vol	vol	NOUN
ajst-30881	1	14	.	.	PROPN
ajst-30881	1	15	15	15	NUM
ajst-30881	1	16	,	,	PUNCT
ajst-30881	1	17	no	no	INTJ
ajst-30881	1	18	.	.	NOUN
ajst-30881	1	19	2	2	NUM
ajst-30881	1	20	,	,	PUNCT
ajst-30881	1	21	2025	2025	NUM
ajst-30881	1	22	22	22	NUM
ajst-30881	1	23	practice	practice	NOUN
ajst-30881	1	24	and	and	CCONJ
ajst-30881	1	25	optimization	optimization	NOUN
ajst-30881	1	26	of	of	ADP
ajst-30881	1	27	image	image	NOUN
ajst-30881	1	28	recognition	recognition	NOUN
ajst-30881	1	29	technology	technology	NOUN
ajst-30881	1	30	for	for	ADP
ajst-30881	1	31	higher	high	ADJ
ajst-30881	1	32	vocational	vocational	ADJ
ajst-30881	1	33	computer	computer	NOUN
ajst-30881	1	34	application	application	NOUN
ajst-30881	1	35	majors	major	NOUN
ajst-30881	1	36	based	base	VERB
ajst-30881	1	37	on	on	ADP
ajst-30881	1	38	deep	deep	ADJ
ajst-30881	1	39	learning	learning	NOUN
ajst-30881	1	40	:	:	PUNCT
ajst-30881	1	41	taking	take	VERB
ajst-30881	1	42	industrial	industrial	ADJ
ajst-30881	1	43	product	product	NOUN
ajst-30881	1	44	defect	defect	NOUN
ajst-30881	1	45	detection	detection	NOUN
ajst-30881	1	46	as	as	ADP
ajst-30881	1	47	an	an	DET
ajst-30881	1	48	example	example	NOUN
ajst-30881	1	49	lian	lian	PROPN
ajst-30881	1	50	dan	dan	PROPN
ajst-30881	1	51	zhejiang	zhejiang	PROPN
ajst-30881	1	52	dongfang	dongfang	PROPN
ajst-30881	1	53	polytechnic	polytechnic	PROPN
ajst-30881	1	54	,	,	PUNCT
ajst-30881	1	55	wenzhou	wenzhou	PROPN
ajst-30881	1	56	,	,	PUNCT
ajst-30881	1	57	zhejiang	zhejiang	PROPN
ajst-30881	1	58	,	,	PUNCT
ajst-30881	1	59	325000	325000	NUM
ajst-30881	1	60	,	,	PUNCT
ajst-30881	1	61	china	china	PROPN
ajst-30881	1	62	abstract	abstract	NOUN
ajst-30881	1	63	:	:	PUNCT
ajst-30881	1	64	this	this	DET
ajst-30881	1	65	article	article	NOUN
ajst-30881	1	66	focuses	focus	VERB
ajst-30881	1	67	on	on	ADP
ajst-30881	1	68	the	the	DET
ajst-30881	1	69	field	field	NOUN
ajst-30881	1	70	of	of	ADP
ajst-30881	1	71	computer	computer	NOUN
ajst-30881	1	72	application	application	NOUN
ajst-30881	1	73	majors	major	NOUN
ajst-30881	1	74	in	in	ADP
ajst-30881	1	75	higher	high	ADJ
ajst-30881	1	76	vocational	vocational	ADJ
ajst-30881	1	77	and	and	CCONJ
ajst-30881	1	78	technical	technical	ADJ
ajst-30881	1	79	colleges	college	NOUN
ajst-30881	1	80	.	.	PUNCT
ajst-30881	2	1	it	it	PRON
ajst-30881	2	2	deeply	deeply	ADV
ajst-30881	2	3	expounds	expound	VERB
ajst-30881	2	4	on	on	ADP
ajst-30881	2	5	the	the	DET
ajst-30881	2	6	case	case	NOUN
ajst-30881	2	7	applications	application	NOUN
ajst-30881	2	8	of	of	ADP
ajst-30881	2	9	deep	deep	ADJ
ajst-30881	2	10	learning	learning	NOUN
ajst-30881	2	11	and	and	CCONJ
ajst-30881	2	12	related	related	ADJ
ajst-30881	2	13	technologies	technology	NOUN
ajst-30881	2	14	in	in	ADP
ajst-30881	2	15	image	image	NOUN
ajst-30881	2	16	recognition	recognition	NOUN
ajst-30881	2	17	technology	technology	NOUN
ajst-30881	2	18	,	,	PUNCT
ajst-30881	2	19	centering	center	VERB
ajst-30881	2	20	around	around	ADP
ajst-30881	2	21	the	the	DET
ajst-30881	2	22	actual	actual	ADJ
ajst-30881	2	23	enterprise	enterprise	NOUN
ajst-30881	2	24	requirements	requirement	NOUN
ajst-30881	2	25	and	and	CCONJ
ajst-30881	2	26	technological	technological	ADJ
ajst-30881	2	27	requirements	requirement	NOUN
ajst-30881	2	28	of	of	ADP
ajst-30881	2	29	industrial	industrial	ADJ
ajst-30881	2	30	product	product	NOUN
ajst-30881	2	31	defect	defect	NOUN
ajst-30881	2	32	detection	detection	NOUN
ajst-30881	2	33	.	.	PUNCT
ajst-30881	3	1	by	by	ADP
ajst-30881	3	2	building	build	VERB
ajst-30881	3	3	different	different	ADJ
ajst-30881	3	4	deep	deep	ADJ
ajst-30881	3	5	learning	learning	NOUN
ajst-30881	3	6	models	model	NOUN
ajst-30881	3	7	and	and	CCONJ
ajst-30881	3	8	related	related	ADJ
ajst-30881	3	9	technologies	technology	NOUN
ajst-30881	3	10	,	,	PUNCT
ajst-30881	3	11	this	this	DET
ajst-30881	3	12	article	article	NOUN
ajst-30881	3	13	collects	collect	VERB
ajst-30881	3	14	product	product	NOUN
ajst-30881	3	15	image	image	NOUN
ajst-30881	3	16	data	datum	NOUN
ajst-30881	3	17	in	in	ADP
ajst-30881	3	18	enterprise	enterprise	NOUN
ajst-30881	3	19	production	production	NOUN
ajst-30881	3	20	,	,	PUNCT
ajst-30881	3	21	thus	thus	ADV
ajst-30881	3	22	completing	complete	VERB
ajst-30881	3	23	training	training	NOUN
ajst-30881	3	24	,	,	PUNCT
ajst-30881	3	25	testing	testing	NOUN
ajst-30881	3	26	,	,	PUNCT
ajst-30881	3	27	and	and	CCONJ
ajst-30881	3	28	evaluation	evaluation	NOUN
ajst-30881	3	29	.	.	PUNCT
ajst-30881	4	1	secondly	secondly	ADV
ajst-30881	4	2	,	,	PUNCT
ajst-30881	4	3	it	it	PRON
ajst-30881	4	4	compares	compare	VERB
ajst-30881	4	5	the	the	DET
ajst-30881	4	6	differences	difference	NOUN
ajst-30881	4	7	of	of	ADP
ajst-30881	4	8	each	each	DET
ajst-30881	4	9	model	model	NOUN
ajst-30881	4	10	in	in	ADP
ajst-30881	4	11	key	key	ADJ
ajst-30881	4	12	indicators	indicator	NOUN
ajst-30881	4	13	such	such	ADJ
ajst-30881	4	14	as	as	ADP
ajst-30881	4	15	detection	detection	NOUN
ajst-30881	4	16	accuracy	accuracy	NOUN
ajst-30881	4	17	and	and	CCONJ
ajst-30881	4	18	recall	recall	NOUN
ajst-30881	4	19	rate	rate	NOUN
ajst-30881	4	20	,	,	PUNCT
ajst-30881	4	21	and	and	CCONJ
ajst-30881	4	22	combines	combine	VERB
ajst-30881	4	23	with	with	ADP
ajst-30881	4	24	chart	chart	NOUN
ajst-30881	4	25	analysis	analysis	NOUN
ajst-30881	4	26	to	to	PART
ajst-30881	4	27	visually	visually	ADV
ajst-30881	4	28	display	display	VERB
ajst-30881	4	29	the	the	DET
ajst-30881	4	30	changes	change	NOUN
ajst-30881	4	31	of	of	ADP
ajst-30881	4	32	the	the	DET
ajst-30881	4	33	loss	loss	NOUN
ajst-30881	4	34	function	function	NOUN
ajst-30881	4	35	and	and	CCONJ
ajst-30881	4	36	the	the	DET
ajst-30881	4	37	accuracy	accuracy	NOUN
ajst-30881	4	38	improvement	improvement	NOUN
ajst-30881	4	39	curve	curve	NOUN
ajst-30881	4	40	during	during	ADP
ajst-30881	4	41	the	the	DET
ajst-30881	4	42	model	model	NOUN
ajst-30881	4	43	training	training	NOUN
ajst-30881	4	44	process	process	NOUN
ajst-30881	4	45	.	.	PUNCT
ajst-30881	5	1	the	the	DET
ajst-30881	5	2	design	design	NOUN
ajst-30881	5	3	and	and	CCONJ
ajst-30881	5	4	analysis	analysis	NOUN
ajst-30881	5	5	of	of	ADP
ajst-30881	5	6	the	the	DET
ajst-30881	5	7	case	case	NOUN
ajst-30881	5	8	can	can	AUX
ajst-30881	5	9	effectively	effectively	ADV
ajst-30881	5	10	enhance	enhance	VERB
ajst-30881	5	11	the	the	DET
ajst-30881	5	12	practical	practical	ADJ
ajst-30881	5	13	operation	operation	NOUN
ajst-30881	5	14	and	and	CCONJ
ajst-30881	5	15	technical	technical	ADJ
ajst-30881	5	16	application	application	NOUN
ajst-30881	5	17	abilities	ability	NOUN
ajst-30881	5	18	of	of	ADP
ajst-30881	5	19	higher	high	ADJ
ajst-30881	5	20	vocational	vocational	ADJ
ajst-30881	5	21	students	student	NOUN
ajst-30881	5	22	in	in	ADP
ajst-30881	5	23	image	image	NOUN
ajst-30881	5	24	recognition	recognition	NOUN
ajst-30881	5	25	technology	technology	NOUN
ajst-30881	5	26	,	,	PUNCT
ajst-30881	5	27	and	and	CCONJ
ajst-30881	5	28	also	also	ADV
ajst-30881	5	29	provide	provide	VERB
ajst-30881	5	30	case	case	NOUN
ajst-30881	5	31	support	support	NOUN
ajst-30881	5	32	for	for	ADP
ajst-30881	5	33	exchanges	exchange	NOUN
ajst-30881	5	34	among	among	ADP
ajst-30881	5	35	industry	industry	NOUN
ajst-30881	5	36	practitioners	practitioner	NOUN
ajst-30881	5	37	.	.	PUNCT
ajst-30881	6	1	keywords	keyword	NOUN
ajst-30881	6	2	:	:	PUNCT
ajst-30881	6	3	deep	deep	ADJ
ajst-30881	6	4	learning	learning	NOUN
ajst-30881	6	5	;	;	PUNCT
ajst-30881	6	6	industrial	industrial	ADJ
ajst-30881	6	7	product	product	NOUN
ajst-30881	6	8	defect	defect	NOUN
ajst-30881	6	9	detection	detection	NOUN
ajst-30881	6	10	;	;	PUNCT
ajst-30881	6	11	higher	high	ADJ
ajst-30881	6	12	vocational	vocational	ADJ
ajst-30881	6	13	computer	computer	NOUN
ajst-30881	6	14	application	application	NOUN
ajst-30881	6	15	;	;	PUNCT
ajst-30881	6	16	image	image	NOUN
ajst-30881	6	17	recognition	recognition	NOUN
ajst-30881	6	18	.	.	PUNCT
ajst-30881	7	1	1	1	X
ajst-30881	7	2	.	.	X
ajst-30881	7	3	introduction	introduction	NOUN
ajst-30881	7	4	in	in	ADP
ajst-30881	7	5	the	the	DET
ajst-30881	7	6	actual	actual	ADJ
ajst-30881	7	7	production	production	NOUN
ajst-30881	7	8	process	process	NOUN
ajst-30881	7	9	,	,	PUNCT
ajst-30881	7	10	quality	quality	NOUN
ajst-30881	7	11	is	be	AUX
ajst-30881	7	12	the	the	DET
ajst-30881	7	13	lifeline	lifeline	NOUN
ajst-30881	7	14	of	of	ADP
ajst-30881	7	15	an	an	DET
ajst-30881	7	16	enterprise	enterprise	NOUN
ajst-30881	7	17	.	.	PUNCT
ajst-30881	8	1	therefore	therefore	ADV
ajst-30881	8	2	,	,	PUNCT
ajst-30881	8	3	every	every	DET
ajst-30881	8	4	enterprise	enterprise	NOUN
ajst-30881	8	5	attaches	attach	VERB
ajst-30881	8	6	great	great	ADJ
ajst-30881	8	7	importance	importance	NOUN
ajst-30881	8	8	to	to	PART
ajst-30881	8	9	product	product	VERB
ajst-30881	8	10	quality	quality	NOUN
ajst-30881	8	11	and	and	CCONJ
ajst-30881	8	12	constantly	constantly	ADV
ajst-30881	8	13	optimizes	optimize	VERB
ajst-30881	8	14	the	the	DET
ajst-30881	8	15	methods	method	NOUN
ajst-30881	8	16	of	of	ADP
ajst-30881	8	17	product	product	NOUN
ajst-30881	8	18	quality	quality	NOUN
ajst-30881	8	19	inspection	inspection	NOUN
ajst-30881	8	20	and	and	CCONJ
ajst-30881	8	21	evaluation	evaluation	NOUN
ajst-30881	8	22	,	,	PUNCT
ajst-30881	8	23	striving	strive	VERB
ajst-30881	8	24	to	to	PART
ajst-30881	8	25	control	control	VERB
ajst-30881	8	26	product	product	NOUN
ajst-30881	8	27	quality	quality	NOUN
ajst-30881	8	28	with	with	ADP
ajst-30881	8	29	high	high	ADJ
ajst-30881	8	30	quality	quality	NOUN
ajst-30881	8	31	and	and	CCONJ
ajst-30881	8	32	high	high	ADJ
ajst-30881	8	33	efficiency	efficiency	NOUN
ajst-30881	8	34	to	to	PART
ajst-30881	8	35	meet	meet	VERB
ajst-30881	8	36	customer	customer	NOUN
ajst-30881	8	37	needs	need	NOUN
ajst-30881	8	38	and	and	CCONJ
ajst-30881	8	39	improve	improve	VERB
ajst-30881	8	40	the	the	DET
ajst-30881	8	41	company	company	NOUN
ajst-30881	8	42	's	's	PART
ajst-30881	8	43	service	service	NOUN
ajst-30881	8	44	quality	quality	NOUN
ajst-30881	8	45	and	and	CCONJ
ajst-30881	8	46	effect	effect	NOUN
ajst-30881	8	47	.	.	PUNCT
ajst-30881	9	1	the	the	DET
ajst-30881	9	2	product	product	NOUN
ajst-30881	9	3	quality	quality	NOUN
ajst-30881	9	4	inspection	inspection	NOUN
ajst-30881	9	5	process	process	NOUN
ajst-30881	9	6	has	have	AUX
ajst-30881	9	7	evolved	evolve	VERB
ajst-30881	9	8	from	from	ADP
ajst-30881	9	9	single	single	ADJ
ajst-30881	9	10	manual	manual	ADJ
ajst-30881	9	11	inspection	inspection	NOUN
ajst-30881	9	12	and	and	CCONJ
ajst-30881	9	13	auxiliary	auxiliary	ADJ
ajst-30881	9	14	equipment	equipment	NOUN
ajst-30881	9	15	inspection	inspection	NOUN
ajst-30881	9	16	in	in	ADP
ajst-30881	9	17	the	the	DET
ajst-30881	9	18	past	past	NOUN
ajst-30881	9	19	to	to	ADP
ajst-30881	9	20	in	in	ADP
ajst-30881	9	21	depth	depth	NOUN
ajst-30881	9	22	inspection	inspection	NOUN
ajst-30881	9	23	using	use	VERB
ajst-30881	9	24	image	image	NOUN
ajst-30881	9	25	recognition	recognition	NOUN
ajst-30881	9	26	technology[1	technology[1	NOUN
ajst-30881	9	27	]	]	PUNCT
ajst-30881	9	28	.	.	PUNCT
ajst-30881	10	1	the	the	DET
ajst-30881	10	2	inspection	inspection	NOUN
ajst-30881	10	3	methods	method	NOUN
ajst-30881	10	4	in	in	ADP
ajst-30881	10	5	the	the	DET
ajst-30881	10	6	past	past	NOUN
ajst-30881	10	7	were	be	AUX
ajst-30881	10	8	costly	costly	ADJ
ajst-30881	10	9	and	and	CCONJ
ajst-30881	10	10	inefficient	inefficient	ADJ
ajst-30881	10	11	,	,	PUNCT
ajst-30881	10	12	and	and	CCONJ
ajst-30881	10	13	to	to	ADP
ajst-30881	10	14	a	a	DET
ajst-30881	10	15	large	large	ADJ
ajst-30881	10	16	extent	extent	NOUN
ajst-30881	10	17	,	,	PUNCT
ajst-30881	10	18	they	they	PRON
ajst-30881	10	19	have	have	AUX
ajst-30881	10	20	been	be	AUX
ajst-30881	10	21	phased	phase	VERB
ajst-30881	10	22	out	out	ADP
ajst-30881	10	23	or	or	CCONJ
ajst-30881	10	24	replaced	replace	VERB
ajst-30881	10	25	.	.	PUNCT
ajst-30881	11	1	currently	currently	ADV
ajst-30881	11	2	,	,	PUNCT
ajst-30881	11	3	the	the	DET
ajst-30881	11	4	main	main	ADJ
ajst-30881	11	5	inspection	inspection	NOUN
ajst-30881	11	6	technology	technology	NOUN
ajst-30881	11	7	is	be	AUX
ajst-30881	11	8	to	to	PART
ajst-30881	11	9	use	use	VERB
ajst-30881	11	10	artificial	artificial	ADJ
ajst-30881	11	11	intelligence	intelligence	NOUN
ajst-30881	11	12	technology	technology	NOUN
ajst-30881	11	13	,	,	PUNCT
ajst-30881	11	14	which	which	PRON
ajst-30881	11	15	shows	show	VERB
ajst-30881	11	16	great	great	ADJ
ajst-30881	11	17	advantages	advantage	NOUN
ajst-30881	11	18	in	in	ADP
ajst-30881	11	19	the	the	DET
ajst-30881	11	20	field	field	NOUN
ajst-30881	11	21	of	of	ADP
ajst-30881	11	22	image	image	NOUN
ajst-30881	11	23	recognition	recognition	NOUN
ajst-30881	11	24	.	.	PUNCT
ajst-30881	12	1	it	it	PRON
ajst-30881	12	2	can	can	AUX
ajst-30881	12	3	automatically	automatically	ADV
ajst-30881	12	4	extract	extract	VERB
ajst-30881	12	5	the	the	DET
ajst-30881	12	6	features	feature	NOUN
ajst-30881	12	7	of	of	ADP
ajst-30881	12	8	images	image	NOUN
ajst-30881	12	9	and	and	CCONJ
ajst-30881	12	10	achieve	achieve	VERB
ajst-30881	12	11	accurate	accurate	ADJ
ajst-30881	12	12	recognition	recognition	NOUN
ajst-30881	12	13	and	and	CCONJ
ajst-30881	12	14	classification	classification	NOUN
ajst-30881	12	15	of	of	ADP
ajst-30881	12	16	target	target	NOUN
ajst-30881	12	17	objects	object	NOUN
ajst-30881	12	18	.	.	PUNCT
ajst-30881	13	1	applying	apply	VERB
ajst-30881	13	2	deep	deep	ADJ
ajst-30881	13	3	learning	learning	NOUN
ajst-30881	13	4	to	to	ADP
ajst-30881	13	5	industrial	industrial	ADJ
ajst-30881	13	6	product	product	NOUN
ajst-30881	13	7	defect	defect	NOUN
ajst-30881	13	8	detection	detection	NOUN
ajst-30881	13	9	provides	provide	VERB
ajst-30881	13	10	a	a	DET
ajst-30881	13	11	new	new	ADJ
ajst-30881	13	12	way	way	NOUN
ajst-30881	13	13	to	to	PART
ajst-30881	13	14	solve	solve	VERB
ajst-30881	13	15	the	the	DET
ajst-30881	13	16	disadvantages	disadvantage	NOUN
ajst-30881	13	17	of	of	ADP
ajst-30881	13	18	traditional	traditional	ADJ
ajst-30881	13	19	inspection	inspection	NOUN
ajst-30881	13	20	methods[2	methods[2	NOUN
ajst-30881	13	21	]	]	PUNCT
ajst-30881	13	22	.	.	PUNCT
ajst-30881	14	1	2	2	X
ajst-30881	14	2	.	.	X
ajst-30881	14	3	introduction	introduction	NOUN
ajst-30881	14	4	to	to	ADP
ajst-30881	14	5	the	the	DET
ajst-30881	14	6	basics	basic	NOUN
ajst-30881	14	7	of	of	ADP
ajst-30881	14	8	deep	deep	ADJ
ajst-30881	14	9	learning	learning	NOUN
ajst-30881	14	10	and	and	CCONJ
ajst-30881	14	11	related	related	ADJ
ajst-30881	14	12	models	model	NOUN
ajst-30881	14	13	2.1	2.1	NUM
ajst-30881	14	14	.	.	PUNCT
ajst-30881	15	1	basic	basic	ADJ
ajst-30881	15	2	principles	principle	NOUN
ajst-30881	15	3	of	of	ADP
ajst-30881	15	4	deep	deep	ADJ
ajst-30881	15	5	learning	learning	NOUN
ajst-30881	15	6	deep	deep	ADJ
ajst-30881	15	7	learning	learning	NOUN
ajst-30881	15	8	has	have	VERB
ajst-30881	15	9	a	a	DET
ajst-30881	15	10	wide	wide	ADJ
ajst-30881	15	11	range	range	NOUN
ajst-30881	15	12	of	of	ADP
ajst-30881	15	13	application	application	NOUN
ajst-30881	15	14	fields	field	NOUN
ajst-30881	15	15	.	.	PUNCT
ajst-30881	16	1	it	it	PRON
ajst-30881	16	2	is	be	AUX
ajst-30881	16	3	a	a	DET
ajst-30881	16	4	machine	machine	NOUN
ajst-30881	16	5	learning	learning	NOUN
ajst-30881	16	6	method	method	NOUN
ajst-30881	16	7	based	base	VERB
ajst-30881	16	8	on	on	ADP
ajst-30881	16	9	artificial	artificial	ADJ
ajst-30881	16	10	neural	neural	ADJ
ajst-30881	16	11	networks	network	NOUN
ajst-30881	16	12	.	.	PUNCT
ajst-30881	17	1	by	by	ADP
ajst-30881	17	2	constructing	construct	VERB
ajst-30881	17	3	a	a	DET
ajst-30881	17	4	multi	multi	ADJ
ajst-30881	17	5	layer	layer	NOUN
ajst-30881	17	6	neural	neural	ADJ
ajst-30881	17	7	network	network	NOUN
ajst-30881	17	8	model	model	NOUN
ajst-30881	17	9	,	,	PUNCT
ajst-30881	17	10	it	it	PRON
ajst-30881	17	11	enables	enable	VERB
ajst-30881	17	12	the	the	DET
ajst-30881	17	13	computer	computer	NOUN
ajst-30881	17	14	to	to	PART
ajst-30881	17	15	automatically	automatically	ADV
ajst-30881	17	16	learn	learn	VERB
ajst-30881	17	17	feature	feature	NOUN
ajst-30881	17	18	representations	representation	NOUN
ajst-30881	17	19	from	from	ADP
ajst-30881	17	20	a	a	DET
ajst-30881	17	21	large	large	ADJ
ajst-30881	17	22	amount	amount	NOUN
ajst-30881	17	23	of	of	ADP
ajst-30881	17	24	data	datum	NOUN
ajst-30881	17	25	.	.	PUNCT
ajst-30881	18	1	in	in	ADP
ajst-30881	18	2	image	image	NOUN
ajst-30881	18	3	recognition	recognition	NOUN
ajst-30881	18	4	tasks	task	NOUN
ajst-30881	18	5	,	,	PUNCT
ajst-30881	18	6	neural	neural	ADJ
ajst-30881	18	7	networks	network	NOUN
ajst-30881	18	8	can	can	AUX
ajst-30881	18	9	extract	extract	VERB
ajst-30881	18	10	the	the	DET
ajst-30881	18	11	key	key	ADJ
ajst-30881	18	12	features	feature	NOUN
ajst-30881	18	13	of	of	ADP
ajst-30881	18	14	objects	object	NOUN
ajst-30881	18	15	in	in	ADP
ajst-30881	18	16	images	image	NOUN
ajst-30881	18	17	by	by	ADP
ajst-30881	18	18	learning	learn	VERB
ajst-30881	18	19	a	a	DET
ajst-30881	18	20	large	large	ADJ
ajst-30881	18	21	number	number	NOUN
ajst-30881	18	22	of	of	ADP
ajst-30881	18	23	image	image	NOUN
ajst-30881	18	24	data	datum	NOUN
ajst-30881	18	25	,	,	PUNCT
ajst-30881	18	26	thus	thus	ADV
ajst-30881	18	27	achieving	achieve	VERB
ajst-30881	18	28	the	the	DET
ajst-30881	18	29	classification	classification	NOUN
ajst-30881	18	30	and	and	CCONJ
ajst-30881	18	31	recognition	recognition	NOUN
ajst-30881	18	32	of	of	ADP
ajst-30881	18	33	image	image	NOUN
ajst-30881	18	34	content[3	content[3	NOUN
ajst-30881	18	35	]	]	PUNCT
ajst-30881	18	36	.	.	PUNCT
ajst-30881	19	1	2.2	2.2	NUM
ajst-30881	19	2	.	.	PUNCT
ajst-30881	20	1	common	common	ADJ
ajst-30881	20	2	deep	deep	ADJ
ajst-30881	20	3	learning	learn	VERB
ajst-30881	20	4	image	image	NOUN
ajst-30881	20	5	recognition	recognition	NOUN
ajst-30881	20	6	models	model	NOUN
ajst-30881	20	7	in	in	ADP
ajst-30881	20	8	the	the	DET
ajst-30881	20	9	field	field	NOUN
ajst-30881	20	10	of	of	ADP
ajst-30881	20	11	deep	deep	ADJ
ajst-30881	20	12	learning	learn	VERB
ajst-30881	20	13	image	image	NOUN
ajst-30881	20	14	recognition	recognition	NOUN
ajst-30881	20	15	,	,	PUNCT
ajst-30881	20	16	common	common	ADJ
ajst-30881	20	17	models	model	NOUN
ajst-30881	20	18	have	have	VERB
ajst-30881	20	19	their	their	PRON
ajst-30881	20	20	own	own	ADJ
ajst-30881	20	21	characteristics	characteristic	NOUN
ajst-30881	20	22	.	.	PUNCT
ajst-30881	21	1	lenet	lenet	NOUN
ajst-30881	21	2	is	be	AUX
ajst-30881	21	3	an	an	DET
ajst-30881	21	4	early	early	ADJ
ajst-30881	21	5	convolutional	convolutional	ADJ
ajst-30881	21	6	neural	neural	ADJ
ajst-30881	21	7	network	network	NOUN
ajst-30881	21	8	successfully	successfully	ADV
ajst-30881	21	9	used	use	VERB
ajst-30881	21	10	for	for	ADP
ajst-30881	21	11	digit	digit	NOUN
ajst-30881	21	12	recognition	recognition	NOUN
ajst-30881	21	13	.	.	PUNCT
ajst-30881	22	1	it	it	PRON
ajst-30881	22	2	adopts	adopt	VERB
ajst-30881	22	3	an	an	DET
ajst-30881	22	4	architecture	architecture	NOUN
ajst-30881	22	5	of	of	ADP
ajst-30881	22	6	convolutional	convolutional	ADJ
ajst-30881	22	7	layers	layer	NOUN
ajst-30881	22	8	,	,	PUNCT
ajst-30881	22	9	pooling	pool	VERB
ajst-30881	22	10	layers	layer	NOUN
ajst-30881	22	11	,	,	PUNCT
ajst-30881	22	12	and	and	CCONJ
ajst-30881	22	13	fully	fully	ADV
ajst-30881	22	14	connected	connected	ADJ
ajst-30881	22	15	layers	layer	NOUN
ajst-30881	22	16	.	.	PUNCT
ajst-30881	23	1	it	it	PRON
ajst-30881	23	2	has	have	VERB
ajst-30881	23	3	a	a	DET
ajst-30881	23	4	simple	simple	ADJ
ajst-30881	23	5	structure	structure	NOUN
ajst-30881	23	6	and	and	CCONJ
ajst-30881	23	7	fast	fast	ADJ
ajst-30881	23	8	training	training	NOUN
ajst-30881	23	9	speed	speed	NOUN
ajst-30881	23	10	,	,	PUNCT
ajst-30881	23	11	but	but	CCONJ
ajst-30881	23	12	its	its	PRON
ajst-30881	23	13	performance	performance	NOUN
ajst-30881	23	14	is	be	AUX
ajst-30881	23	15	limited	limit	VERB
ajst-30881	23	16	when	when	SCONJ
ajst-30881	23	17	dealing	deal	VERB
ajst-30881	23	18	with	with	ADP
ajst-30881	23	19	complex	complex	ADJ
ajst-30881	23	20	image	image	NOUN
ajst-30881	23	21	tasks	task	NOUN
ajst-30881	23	22	.	.	PUNCT
ajst-30881	24	1	alexnet	alexnet	NOUN
ajst-30881	24	2	is	be	AUX
ajst-30881	24	3	an	an	DET
ajst-30881	24	4	improvement	improvement	NOUN
ajst-30881	24	5	based	base	VERB
ajst-30881	24	6	on	on	ADP
ajst-30881	24	7	lenet	lenet	NOUN
ajst-30881	24	8	.	.	PUNCT
ajst-30881	25	1	it	it	PRON
ajst-30881	25	2	increases	increase	VERB
ajst-30881	25	3	the	the	DET
ajst-30881	25	4	depth	depth	NOUN
ajst-30881	25	5	and	and	CCONJ
ajst-30881	25	6	width	width	NOUN
ajst-30881	25	7	of	of	ADP
ajst-30881	25	8	the	the	DET
ajst-30881	25	9	network	network	NOUN
ajst-30881	25	10	and	and	CCONJ
ajst-30881	25	11	introduces	introduce	VERB
ajst-30881	25	12	innovative	innovative	ADJ
ajst-30881	25	13	methods	method	NOUN
ajst-30881	25	14	such	such	ADJ
ajst-30881	25	15	as	as	ADP
ajst-30881	25	16	the	the	DET
ajst-30881	25	17	relu	relu	NOUN
ajst-30881	25	18	activation	activation	NOUN
ajst-30881	25	19	function	function	NOUN
ajst-30881	25	20	,	,	PUNCT
ajst-30881	25	21	improving	improve	VERB
ajst-30881	25	22	the	the	DET
ajst-30881	25	23	generalization	generalization	NOUN
ajst-30881	25	24	ability	ability	NOUN
ajst-30881	25	25	and	and	CCONJ
ajst-30881	25	26	recognition	recognition	NOUN
ajst-30881	25	27	accuracy	accuracy	NOUN
ajst-30881	25	28	,	,	PUNCT
ajst-30881	25	29	and	and	CCONJ
ajst-30881	25	30	providing	provide	VERB
ajst-30881	25	31	important	important	ADJ
ajst-30881	25	32	references	reference	NOUN
ajst-30881	25	33	for	for	ADP
ajst-30881	25	34	subsequent	subsequent	ADJ
ajst-30881	25	35	models[4	models[4	NOUN
ajst-30881	25	36	]	]	X
ajst-30881	25	37	.	.	PUNCT
ajst-30881	26	1	vggnet	vggnet	PROPN
ajst-30881	26	2	was	be	AUX
ajst-30881	26	3	proposed	propose	VERB
ajst-30881	26	4	by	by	ADP
ajst-30881	26	5	the	the	DET
ajst-30881	26	6	university	university	NOUN
ajst-30881	26	7	of	of	ADP
ajst-30881	26	8	oxford	oxford	PROPN
ajst-30881	26	9	.	.	PUNCT
ajst-30881	27	1	it	it	PRON
ajst-30881	27	2	is	be	AUX
ajst-30881	27	3	characterized	characterize	VERB
ajst-30881	27	4	by	by	ADP
ajst-30881	27	5	small	small	ADJ
ajst-30881	27	6	convolutional	convolutional	ADJ
ajst-30881	27	7	kernels	kernel	NOUN
ajst-30881	27	8	and	and	CCONJ
ajst-30881	27	9	the	the	DET
ajst-30881	27	10	stacking	stacking	NOUN
ajst-30881	27	11	of	of	ADP
ajst-30881	27	12	multiple	multiple	ADJ
ajst-30881	27	13	convolutional	convolutional	ADJ
ajst-30881	27	14	layers	layer	NOUN
ajst-30881	27	15	.	.	PUNCT
ajst-30881	28	1	it	it	PRON
ajst-30881	28	2	has	have	VERB
ajst-30881	28	3	a	a	DET
ajst-30881	28	4	simple	simple	ADJ
ajst-30881	28	5	structure	structure	NOUN
ajst-30881	28	6	,	,	PUNCT
ajst-30881	28	7	is	be	AUX
ajst-30881	28	8	easy	easy	ADJ
ajst-30881	28	9	to	to	PART
ajst-30881	28	10	implement	implement	VERB
ajst-30881	28	11	,	,	PUNCT
ajst-30881	28	12	and	and	CCONJ
ajst-30881	28	13	has	have	AUX
ajst-30881	28	14	strong	strong	ADJ
ajst-30881	28	15	interpretability[5	interpretability[5	NOUN
ajst-30881	28	16	]	]	PUNCT
ajst-30881	28	17	.	.	PUNCT
ajst-30881	29	1	it	it	PRON
ajst-30881	29	2	performs	perform	VERB
ajst-30881	29	3	well	well	ADV
ajst-30881	29	4	in	in	ADP
ajst-30881	29	5	fields	field	NOUN
ajst-30881	29	6	such	such	ADJ
ajst-30881	29	7	as	as	ADP
ajst-30881	29	8	image	image	NOUN
ajst-30881	29	9	classification	classification	NOUN
ajst-30881	29	10	,	,	PUNCT
ajst-30881	29	11	but	but	CCONJ
ajst-30881	29	12	training	training	NOUN
ajst-30881	29	13	consumes	consume	VERB
ajst-30881	29	14	a	a	DET
ajst-30881	29	15	large	large	ADJ
ajst-30881	29	16	amount	amount	NOUN
ajst-30881	29	17	of	of	ADP
ajst-30881	29	18	computing	compute	VERB
ajst-30881	29	19	resources	resource	NOUN
ajst-30881	29	20	and	and	CCONJ
ajst-30881	29	21	time	time	NOUN
ajst-30881	29	22	.	.	PUNCT
ajst-30881	30	1	resnet	resnet	PROPN
ajst-30881	30	2	was	be	AUX
ajst-30881	30	3	designed	design	VERB
ajst-30881	30	4	to	to	PART
ajst-30881	30	5	solve	solve	VERB
ajst-30881	30	6	the	the	DET
ajst-30881	30	7	problems	problem	NOUN
ajst-30881	30	8	of	of	ADP
ajst-30881	30	9	gradient	gradient	ADJ
ajst-30881	30	10	vanishing	vanishing	NOUN
ajst-30881	30	11	and	and	CCONJ
ajst-30881	30	12	explosion	explosion	NOUN
ajst-30881	30	13	.	.	PUNCT
ajst-30881	31	1	by	by	ADP
ajst-30881	31	2	using	use	VERB
ajst-30881	31	3	residual	residual	ADJ
ajst-30881	31	4	connections	connection	NOUN
ajst-30881	31	5	to	to	PART
ajst-30881	31	6	alleviate	alleviate	VERB
ajst-30881	31	7	gradient	gradient	ADJ
ajst-30881	31	8	vanishing	vanishing	NOUN
ajst-30881	31	9	,	,	PUNCT
ajst-30881	31	10	it	it	PRON
ajst-30881	31	11	can	can	AUX
ajst-30881	31	12	be	be	AUX
ajst-30881	31	13	trained	train	VERB
ajst-30881	31	14	to	to	ADP
ajst-30881	31	15	a	a	DET
ajst-30881	31	16	deeper	deep	ADJ
ajst-30881	31	17	level	level	NOUN
ajst-30881	31	18	and	and	CCONJ
ajst-30881	31	19	has	have	VERB
ajst-30881	31	20	excellent	excellent	ADJ
ajst-30881	31	21	performance	performance	NOUN
ajst-30881	31	22	in	in	ADP
ajst-30881	31	23	multiple	multiple	ADJ
ajst-30881	31	24	computer	computer	NOUN
ajst-30881	31	25	vision	vision	NOUN
ajst-30881	31	26	tasks	task	NOUN
ajst-30881	31	27	.	.	PUNCT
ajst-30881	32	1	it	it	PRON
ajst-30881	32	2	is	be	AUX
ajst-30881	32	3	a	a	DET
ajst-30881	32	4	widely	widely	ADV
ajst-30881	32	5	used	use	VERB
ajst-30881	32	6	deep	deep	ADJ
ajst-30881	32	7	learning	learning	NOUN
ajst-30881	32	8	model[6	model[6	NOUN
ajst-30881	32	9	]	]	PUNCT
ajst-30881	32	10	.	.	PUNCT
ajst-30881	33	1	3	3	X
ajst-30881	33	2	.	.	X
ajst-30881	33	3	collection	collection	NOUN
ajst-30881	33	4	and	and	CCONJ
ajst-30881	33	5	preprocessing	preprocessing	NOUN
ajst-30881	33	6	of	of	ADP
ajst-30881	33	7	industrial	industrial	ADJ
ajst-30881	33	8	product	product	NOUN
ajst-30881	33	9	defect	defect	NOUN
ajst-30881	33	10	detection	detection	NOUN
ajst-30881	33	11	datasets	dataset	VERB
ajst-30881	33	12	3.1	3.1	NUM
ajst-30881	33	13	.	.	PUNCT
ajst-30881	33	14	data	datum	NOUN
ajst-30881	33	15	collection	collection	NOUN
ajst-30881	33	16	this	this	DET
ajst-30881	33	17	study	study	NOUN
ajst-30881	33	18	selected	select	VERB
ajst-30881	33	19	metal	metal	NOUN
ajst-30881	33	20	parts	part	NOUN
ajst-30881	33	21	produced	produce	VERB
ajst-30881	33	22	by	by	ADP
ajst-30881	33	23	a	a	DET
ajst-30881	33	24	manufacturing	manufacturing	NOUN
ajst-30881	33	25	enterprise	enterprise	NOUN
ajst-30881	33	26	as	as	SCONJ
ajst-30881	33	27	the	the	DET
ajst-30881	33	28	detection	detection	NOUN
ajst-30881	33	29	objects	object	VERB
ajst-30881	33	30	.	.	PUNCT
ajst-30881	34	1	by	by	ADP
ajst-30881	34	2	installing	instal	VERB
ajst-30881	34	3	high	high	ADJ
ajst-30881	34	4	definition	definition	NOUN
ajst-30881	34	5	cameras	camera	NOUN
ajst-30881	34	6	on	on	ADP
ajst-30881	34	7	the	the	DET
ajst-30881	34	8	production	production	NOUN
ajst-30881	34	9	line	line	NOUN
ajst-30881	34	10	,	,	PUNCT
ajst-30881	34	11	images	image	NOUN
ajst-30881	34	12	of	of	ADP
ajst-30881	34	13	metal	metal	NOUN
ajst-30881	34	14	parts	part	NOUN
ajst-30881	34	15	under	under	ADP
ajst-30881	34	16	different	different	ADJ
ajst-30881	34	17	production	production	NOUN
ajst-30881	34	18	batches	batch	NOUN
ajst-30881	34	19	and	and	CCONJ
ajst-30881	34	20	23	23	NUM
ajst-30881	34	21	production	production	NOUN
ajst-30881	34	22	conditions	condition	NOUN
ajst-30881	34	23	were	be	AUX
ajst-30881	34	24	collected	collect	VERB
ajst-30881	34	25	.	.	PUNCT
ajst-30881	35	1	to	to	PART
ajst-30881	35	2	ensure	ensure	VERB
ajst-30881	35	3	the	the	DET
ajst-30881	35	4	diversity	diversity	NOUN
ajst-30881	35	5	and	and	CCONJ
ajst-30881	35	6	representativeness	representativeness	NOUN
ajst-30881	35	7	of	of	ADP
ajst-30881	35	8	the	the	DET
ajst-30881	35	9	data	datum	NOUN
ajst-30881	35	10	,	,	PUNCT
ajst-30881	35	11	images	image	NOUN
ajst-30881	35	12	containing	contain	VERB
ajst-30881	35	13	normal	normal	ADJ
ajst-30881	35	14	products	product	NOUN
ajst-30881	35	15	,	,	PUNCT
ajst-30881	35	16	surface	surface	NOUN
ajst-30881	35	17	scratches	scratch	NOUN
ajst-30881	35	18	,	,	PUNCT
ajst-30881	35	19	holes	hole	NOUN
ajst-30881	35	20	,	,	PUNCT
ajst-30881	35	21	cracks	crack	NOUN
ajst-30881	35	22	,	,	PUNCT
ajst-30881	35	23	and	and	CCONJ
ajst-30881	35	24	other	other	ADJ
ajst-30881	35	25	defect	defect	ADJ
ajst-30881	35	26	types	type	NOUN
ajst-30881	35	27	were	be	AUX
ajst-30881	35	28	collected	collect	VERB
ajst-30881	35	29	,	,	PUNCT
ajst-30881	35	30	with	with	ADP
ajst-30881	35	31	a	a	DET
ajst-30881	35	32	total	total	NOUN
ajst-30881	35	33	of	of	ADP
ajst-30881	35	34	5,000	5,000	NUM
ajst-30881	35	35	images	image	NOUN
ajst-30881	35	36	.	.	PUNCT
ajst-30881	36	1	among	among	ADP
ajst-30881	36	2	them	they	PRON
ajst-30881	36	3	,	,	PUNCT
ajst-30881	36	4	there	there	PRON
ajst-30881	36	5	were	be	VERB
ajst-30881	36	6	2,500	2,500	NUM
ajst-30881	36	7	images	image	NOUN
ajst-30881	36	8	of	of	ADP
ajst-30881	36	9	normal	normal	ADJ
ajst-30881	36	10	products	product	NOUN
ajst-30881	36	11	,	,	PUNCT
ajst-30881	36	12	and	and	CCONJ
ajst-30881	36	13	500	500	NUM
ajst-30881	36	14	images	image	NOUN
ajst-30881	36	15	of	of	ADP
ajst-30881	36	16	each	each	DET
ajst-30881	36	17	type	type	NOUN
ajst-30881	36	18	of	of	ADP
ajst-30881	36	19	defective	defective	ADJ
ajst-30881	36	20	product	product	NOUN
ajst-30881	36	21	.	.	PUNCT
ajst-30881	37	1	3.2	3.2	NUM
ajst-30881	37	2	.	.	PUNCT
ajst-30881	37	3	data	datum	NOUN
ajst-30881	37	4	preprocessing	preprocesse	VERB
ajst-30881	37	5	the	the	DET
ajst-30881	37	6	collected	collect	VERB
ajst-30881	37	7	original	original	ADJ
ajst-30881	37	8	images	image	NOUN
ajst-30881	37	9	have	have	VERB
ajst-30881	37	10	problems	problem	NOUN
ajst-30881	37	11	such	such	ADJ
ajst-30881	37	12	as	as	ADP
ajst-30881	37	13	uneven	uneven	ADJ
ajst-30881	37	14	illumination	illumination	NOUN
ajst-30881	37	15	and	and	CCONJ
ajst-30881	37	16	inconsistent	inconsistent	ADJ
ajst-30881	37	17	sizes	size	NOUN
ajst-30881	37	18	.	.	PUNCT
ajst-30881	38	1	preprocessing	preprocessing	NOUN
ajst-30881	38	2	is	be	AUX
ajst-30881	38	3	required	require	VERB
ajst-30881	38	4	to	to	PART
ajst-30881	38	5	improve	improve	VERB
ajst-30881	38	6	the	the	DET
ajst-30881	38	7	image	image	NOUN
ajst-30881	38	8	quality	quality	NOUN
ajst-30881	38	9	and	and	CCONJ
ajst-30881	38	10	facilitate	facilitate	VERB
ajst-30881	38	11	the	the	DET
ajst-30881	38	12	subsequent	subsequent	ADJ
ajst-30881	38	13	training	training	NOUN
ajst-30881	38	14	and	and	CCONJ
ajst-30881	38	15	learning	learning	NOUN
ajst-30881	38	16	of	of	ADP
ajst-30881	38	17	the	the	DET
ajst-30881	38	18	model	model	NOUN
ajst-30881	38	19	.	.	PUNCT
ajst-30881	39	1	the	the	DET
ajst-30881	39	2	specific	specific	ADJ
ajst-30881	39	3	preprocessing	preprocessing	NOUN
ajst-30881	39	4	steps	step	NOUN
ajst-30881	39	5	are	be	AUX
ajst-30881	39	6	as	as	SCONJ
ajst-30881	39	7	follows	follow	VERB
ajst-30881	39	8	:	:	PUNCT
ajst-30881	39	9	image	image	NOUN
ajst-30881	39	10	grayscaling	grayscaling	NOUN
ajst-30881	39	11	:	:	PUNCT
ajst-30881	39	12	convert	convert	VERB
ajst-30881	39	13	color	color	NOUN
ajst-30881	39	14	images	image	NOUN
ajst-30881	39	15	to	to	ADP
ajst-30881	39	16	grayscale	grayscale	NOUN
ajst-30881	39	17	images	image	NOUN
ajst-30881	39	18	to	to	PART
ajst-30881	39	19	reduce	reduce	VERB
ajst-30881	39	20	the	the	DET
ajst-30881	39	21	data	data	NOUN
ajst-30881	39	22	dimension	dimension	NOUN
ajst-30881	39	23	and	and	CCONJ
ajst-30881	39	24	computational	computational	ADJ
ajst-30881	39	25	complexity	complexity	NOUN
ajst-30881	39	26	.	.	PUNCT
ajst-30881	40	1	the	the	DET
ajst-30881	40	2	weighted	weight	VERB
ajst-30881	40	3	average	average	ADJ
ajst-30881	40	4	method	method	NOUN
ajst-30881	40	5	is	be	AUX
ajst-30881	40	6	used	use	VERB
ajst-30881	40	7	to	to	PART
ajst-30881	40	8	convert	convert	VERB
ajst-30881	40	9	rgb	rgb	PROPN
ajst-30881	40	10	images	image	NOUN
ajst-30881	40	11	to	to	ADP
ajst-30881	40	12	grayscale	grayscale	NOUN
ajst-30881	40	13	images	image	NOUN
ajst-30881	40	14	.	.	PUNCT
ajst-30881	41	1	the	the	DET
ajst-30881	41	2	calculation	calculation	NOUN
ajst-30881	41	3	formula	formula	NOUN
ajst-30881	41	4	is	be	AUX
ajst-30881	41	5	:	:	PUNCT
ajst-30881	41	6	：	：	PUNCT
ajst-30881	41	7	gray=0.299r+0.587g+0.114b	gray=0.299r+0.587g+0.114b	NOUN
ajst-30881	41	8	,	,	PUNCT
ajst-30881	41	9	where	where	SCONJ
ajst-30881	41	10	r	r	NOUN
ajst-30881	41	11	,	,	PUNCT
ajst-30881	41	12	g	g	NOUN
ajst-30881	41	13	,	,	PUNCT
ajst-30881	41	14	and	and	CCONJ
ajst-30881	41	15	b	b	X
ajst-30881	41	16	are	be	AUX
ajst-30881	41	17	the	the	DET
ajst-30881	41	18	red	red	ADJ
ajst-30881	41	19	,	,	PUNCT
ajst-30881	41	20	green	green	ADJ
ajst-30881	41	21	,	,	PUNCT
ajst-30881	41	22	and	and	CCONJ
ajst-30881	41	23	blue	blue	ADJ
ajst-30881	41	24	channel	channel	NOUN
ajst-30881	41	25	values	value	NOUN
ajst-30881	41	26	of	of	ADP
ajst-30881	41	27	the	the	DET
ajst-30881	41	28	image	image	NOUN
ajst-30881	41	29	,	,	PUNCT
ajst-30881	41	30	respectively	respectively	ADV
ajst-30881	41	31	.	.	PUNCT
ajst-30881	42	1	image	image	NOUN
ajst-30881	42	2	denoising	denoising	NOUN
ajst-30881	42	3	:	:	PUNCT
ajst-30881	42	4	gaussian	gaussian	ADJ
ajst-30881	42	5	filtering	filtering	NOUN
ajst-30881	42	6	is	be	AUX
ajst-30881	42	7	used	use	VERB
ajst-30881	42	8	to	to	PART
ajst-30881	42	9	denoise	denoise	VERB
ajst-30881	42	10	the	the	DET
ajst-30881	42	11	image	image	NOUN
ajst-30881	42	12	,	,	PUNCT
ajst-30881	42	13	removing	remove	VERB
ajst-30881	42	14	noise	noise	NOUN
ajst-30881	42	15	interference	interference	NOUN
ajst-30881	42	16	while	while	SCONJ
ajst-30881	42	17	retaining	retain	VERB
ajst-30881	42	18	the	the	DET
ajst-30881	42	19	edge	edge	NOUN
ajst-30881	42	20	and	and	CCONJ
ajst-30881	42	21	detail	detail	NOUN
ajst-30881	42	22	information	information	NOUN
ajst-30881	42	23	of	of	ADP
ajst-30881	42	24	the	the	DET
ajst-30881	42	25	image	image	NOUN
ajst-30881	42	26	.	.	PUNCT
ajst-30881	43	1	the	the	DET
ajst-30881	43	2	size	size	NOUN
ajst-30881	43	3	of	of	ADP
ajst-30881	43	4	the	the	DET
ajst-30881	43	5	gaussian	gaussian	ADJ
ajst-30881	43	6	filter	filter	NOUN
ajst-30881	43	7	's	's	PART
ajst-30881	43	8	convolution	convolution	NOUN
ajst-30881	43	9	kernel	kernel	NOUN
ajst-30881	43	10	is	be	AUX
ajst-30881	43	11	5x5	5x5	NUM
ajst-30881	43	12	,	,	PUNCT
ajst-30881	43	13	and	and	CCONJ
ajst-30881	43	14	the	the	DET
ajst-30881	43	15	standard	standard	ADJ
ajst-30881	43	16	deviation	deviation	NOUN
ajst-30881	43	17	is	be	AUX
ajst-30881	43	18	1.5	1.5	NUM
ajst-30881	43	19	.	.	PUNCT
ajst-30881	44	1	image	image	NOUN
ajst-30881	44	2	normalization	normalization	NOUN
ajst-30881	44	3	:	:	PUNCT
ajst-30881	44	4	normalize	normalize	VERB
ajst-30881	44	5	the	the	DET
ajst-30881	44	6	pixel	pixel	PROPN
ajst-30881	44	7	values	value	NOUN
ajst-30881	44	8	of	of	ADP
ajst-30881	44	9	the	the	DET
ajst-30881	44	10	image	image	NOUN
ajst-30881	44	11	to	to	ADP
ajst-30881	44	12	the	the	DET
ajst-30881	44	13	interval	interval	NOUN
ajst-30881	44	14	[	[	X
ajst-30881	44	15	0	0	NUM
ajst-30881	44	16	,	,	PUNCT
ajst-30881	44	17	1	1	NUM
ajst-30881	44	18	]	]	PUNCT
ajst-30881	44	19	,	,	PUNCT
ajst-30881	44	20	so	so	SCONJ
ajst-30881	44	21	that	that	SCONJ
ajst-30881	44	22	the	the	DET
ajst-30881	44	23	pixel	pixel	PROPN
ajst-30881	44	24	values	value	NOUN
ajst-30881	44	25	of	of	ADP
ajst-30881	44	26	different	different	ADJ
ajst-30881	44	27	images	image	NOUN
ajst-30881	44	28	have	have	VERB
ajst-30881	44	29	the	the	DET
ajst-30881	44	30	same	same	ADJ
ajst-30881	44	31	scale	scale	NOUN
ajst-30881	44	32	,	,	PUNCT
ajst-30881	44	33	facilitating	facilitate	VERB
ajst-30881	44	34	the	the	DET
ajst-30881	44	35	training	training	NOUN
ajst-30881	44	36	and	and	CCONJ
ajst-30881	44	37	convergence	convergence	NOUN
ajst-30881	44	38	of	of	ADP
ajst-30881	44	39	the	the	DET
ajst-30881	44	40	model	model	NOUN
ajst-30881	44	41	.	.	PUNCT
ajst-30881	45	1	the	the	DET
ajst-30881	45	2	normalization	normalization	NOUN
ajst-30881	45	3	formula	formula	NOUN
ajst-30881	45	4	is	be	AUX
ajst-30881	45	5	:	:	PUNCT
ajst-30881	45	6	where	where	SCONJ
ajst-30881	45	7	x	x	PRON
ajst-30881	45	8	represents	represent	VERB
ajst-30881	45	9	the	the	DET
ajst-30881	45	10	original	original	ADJ
ajst-30881	45	11	pixel	pixel	NOUN
ajst-30881	45	12	value	value	NOUN
ajst-30881	45	13	,	,	PUNCT
ajst-30881	45	14	and	and	CCONJ
ajst-30881	45	15	xmin	xmin	PROPN
ajst-30881	45	16	and	and	CCONJ
ajst-30881	45	17	xmax	xmax	PROPN
ajst-30881	45	18	represent	represent	VERB
ajst-30881	45	19	the	the	DET
ajst-30881	45	20	minimum	minimum	ADJ
ajst-30881	45	21	and	and	CCONJ
ajst-30881	45	22	maximum	maximum	ADJ
ajst-30881	45	23	pixel	pixel	ADJ
ajst-30881	45	24	values	value	NOUN
ajst-30881	45	25	in	in	ADP
ajst-30881	45	26	the	the	DET
ajst-30881	45	27	image	image	NOUN
ajst-30881	45	28	,	,	PUNCT
ajst-30881	45	29	respectively	respectively	ADV
ajst-30881	45	30	.	.	PUNCT
ajst-30881	46	1	image	image	NOUN
ajst-30881	46	2	enhancement	enhancement	NOUN
ajst-30881	46	3	:	:	PUNCT
ajst-30881	46	4	to	to	PART
ajst-30881	46	5	increase	increase	VERB
ajst-30881	46	6	the	the	DET
ajst-30881	46	7	diversity	diversity	NOUN
ajst-30881	46	8	of	of	ADP
ajst-30881	46	9	the	the	DET
ajst-30881	46	10	data	datum	NOUN
ajst-30881	46	11	and	and	CCONJ
ajst-30881	46	12	improve	improve	VERB
ajst-30881	46	13	the	the	DET
ajst-30881	46	14	generalization	generalization	NOUN
ajst-30881	46	15	ability	ability	NOUN
ajst-30881	46	16	of	of	ADP
ajst-30881	46	17	the	the	DET
ajst-30881	46	18	model	model	NOUN
ajst-30881	46	19	,	,	PUNCT
ajst-30881	46	20	image	image	NOUN
ajst-30881	46	21	enhancement	enhancement	NOUN
ajst-30881	46	22	processing	processing	NOUN
ajst-30881	46	23	was	be	AUX
ajst-30881	46	24	carried	carry	VERB
ajst-30881	46	25	out	out	ADP
ajst-30881	46	26	.	.	PUNCT
ajst-30881	47	1	geometric	geometric	ADJ
ajst-30881	47	2	transformation	transformation	NOUN
ajst-30881	47	3	methods	method	NOUN
ajst-30881	47	4	such	such	ADJ
ajst-30881	47	5	as	as	ADP
ajst-30881	47	6	rotation	rotation	NOUN
ajst-30881	47	7	,	,	PUNCT
ajst-30881	47	8	translation	translation	NOUN
ajst-30881	47	9	,	,	PUNCT
ajst-30881	47	10	scaling	scaling	NOUN
ajst-30881	47	11	,	,	PUNCT
ajst-30881	47	12	and	and	CCONJ
ajst-30881	47	13	flipping	flip	VERB
ajst-30881	47	14	,	,	PUNCT
ajst-30881	47	15	as	as	ADV
ajst-30881	47	16	well	well	ADV
ajst-30881	47	17	as	as	ADP
ajst-30881	47	18	gray	gray	ADJ
ajst-30881	47	19	scale	scale	NOUN
ajst-30881	47	20	transformation	transformation	NOUN
ajst-30881	47	21	methods	method	NOUN
ajst-30881	47	22	such	such	ADJ
ajst-30881	47	23	as	as	ADP
ajst-30881	47	24	brightness	brightness	NOUN
ajst-30881	47	25	adjustment	adjustment	NOUN
ajst-30881	47	26	and	and	CCONJ
ajst-30881	47	27	contrast	contrast	NOUN
ajst-30881	47	28	enhancement	enhancement	NOUN
ajst-30881	47	29	were	be	AUX
ajst-30881	47	30	used	use	VERB
ajst-30881	47	31	.	.	PUNCT
ajst-30881	48	1	after	after	ADP
ajst-30881	48	2	data	data	NOUN
ajst-30881	48	3	enhancement	enhancement	NOUN
ajst-30881	48	4	,	,	PUNCT
ajst-30881	48	5	the	the	DET
ajst-30881	48	6	dataset	dataset	NOUN
ajst-30881	48	7	was	be	AUX
ajst-30881	48	8	expanded	expand	VERB
ajst-30881	48	9	to	to	ADP
ajst-30881	48	10	10,000	10,000	NUM
ajst-30881	48	11	images	image	NOUN
ajst-30881	48	12	.	.	PUNCT
ajst-30881	49	1	4	4	X
ajst-30881	49	2	.	.	X
ajst-30881	49	3	building	building	NOUN
ajst-30881	49	4	and	and	CCONJ
ajst-30881	49	5	training	training	NOUN
ajst-30881	49	6	of	of	ADP
ajst-30881	49	7	image	image	NOUN
ajst-30881	49	8	recognition	recognition	NOUN
ajst-30881	49	9	models	model	NOUN
ajst-30881	49	10	based	base	VERB
ajst-30881	49	11	on	on	ADP
ajst-30881	49	12	deep	deep	ADJ
ajst-30881	49	13	learning	learn	VERB
ajst-30881	49	14	4.1	4.1	NUM
ajst-30881	49	15	.	.	PUNCT
ajst-30881	50	1	model	model	NOUN
ajst-30881	50	2	building	building	NOUN
ajst-30881	50	3	based	base	VERB
ajst-30881	50	4	on	on	ADP
ajst-30881	50	5	the	the	DET
ajst-30881	50	6	above	above	ADJ
ajst-30881	50	7	introduced	introduce	VERB
ajst-30881	50	8	deep	deep	ADJ
ajst-30881	50	9	learning	learning	NOUN
ajst-30881	50	10	models	model	NOUN
ajst-30881	50	11	,	,	PUNCT
ajst-30881	50	12	lenet	lenet	NOUN
ajst-30881	50	13	,	,	PUNCT
ajst-30881	50	14	alexnet	alexnet	NOUN
ajst-30881	50	15	,	,	PUNCT
ajst-30881	50	16	vggnet	vggnet	NOUN
ajst-30881	50	17	,	,	PUNCT
ajst-30881	50	18	and	and	CCONJ
ajst-30881	50	19	resnet	resnet	NOUN
ajst-30881	50	20	models	model	NOUN
ajst-30881	50	21	were	be	AUX
ajst-30881	50	22	respectively	respectively	ADV
ajst-30881	50	23	built	build	VERB
ajst-30881	50	24	for	for	ADP
ajst-30881	50	25	industrial	industrial	ADJ
ajst-30881	50	26	product	product	NOUN
ajst-30881	50	27	defect	defect	NOUN
ajst-30881	50	28	detection	detection	NOUN
ajst-30881	50	29	.	.	PUNCT
ajst-30881	51	1	during	during	ADP
ajst-30881	51	2	the	the	DET
ajst-30881	51	3	building	building	NOUN
ajst-30881	51	4	process	process	NOUN
ajst-30881	51	5	,	,	PUNCT
ajst-30881	51	6	the	the	DET
ajst-30881	51	7	parameters	parameter	NOUN
ajst-30881	51	8	of	of	ADP
ajst-30881	51	9	the	the	DET
ajst-30881	51	10	models	model	NOUN
ajst-30881	51	11	were	be	AUX
ajst-30881	51	12	appropriately	appropriately	ADV
ajst-30881	51	13	adjusted	adjust	VERB
ajst-30881	51	14	according	accord	VERB
ajst-30881	51	15	to	to	ADP
ajst-30881	51	16	the	the	DET
ajst-30881	51	17	characteristics	characteristic	NOUN
ajst-30881	51	18	of	of	ADP
ajst-30881	51	19	industrial	industrial	ADJ
ajst-30881	51	20	product	product	NOUN
ajst-30881	51	21	images	image	NOUN
ajst-30881	51	22	and	and	CCONJ
ajst-30881	51	23	the	the	DET
ajst-30881	51	24	scale	scale	NOUN
ajst-30881	51	25	of	of	ADP
ajst-30881	51	26	the	the	DET
ajst-30881	51	27	dataset	dataset	NOUN
ajst-30881	51	28	.	.	PUNCT
ajst-30881	52	1	for	for	ADP
ajst-30881	52	2	example	example	NOUN
ajst-30881	52	3	,	,	PUNCT
ajst-30881	52	4	for	for	ADP
ajst-30881	52	5	the	the	DET
ajst-30881	52	6	lenet	lenet	NOUN
ajst-30881	52	7	model	model	NOUN
ajst-30881	52	8	,	,	PUNCT
ajst-30881	52	9	the	the	DET
ajst-30881	52	10	number	number	NOUN
ajst-30881	52	11	of	of	ADP
ajst-30881	52	12	neurons	neuron	NOUN
ajst-30881	52	13	in	in	ADP
ajst-30881	52	14	the	the	DET
ajst-30881	52	15	convolutional	convolutional	ADJ
ajst-30881	52	16	layer	layer	NOUN
ajst-30881	52	17	and	and	CCONJ
ajst-30881	52	18	the	the	DET
ajst-30881	52	19	fully	fully	ADV
ajst-30881	52	20	connected	connected	ADJ
ajst-30881	52	21	layer	layer	NOUN
ajst-30881	52	22	was	be	AUX
ajst-30881	52	23	adjusted	adjust	VERB
ajst-30881	52	24	;	;	PUNCT
ajst-30881	52	25	for	for	ADP
ajst-30881	52	26	the	the	DET
ajst-30881	52	27	alexnet	alexnet	ADJ
ajst-30881	52	28	model	model	NOUN
ajst-30881	52	29	,	,	PUNCT
ajst-30881	52	30	the	the	DET
ajst-30881	52	31	dropout	dropout	NOUN
ajst-30881	52	32	probability	probability	NOUN
ajst-30881	52	33	and	and	CCONJ
ajst-30881	52	34	the	the	DET
ajst-30881	52	35	size	size	NOUN
ajst-30881	52	36	of	of	ADP
ajst-30881	52	37	the	the	DET
ajst-30881	52	38	convolutional	convolutional	ADJ
ajst-30881	52	39	kernel	kernel	NOUN
ajst-30881	52	40	were	be	AUX
ajst-30881	52	41	adjusted	adjust	VERB
ajst-30881	52	42	;	;	PUNCT
ajst-30881	52	43	for	for	ADP
ajst-30881	52	44	the	the	DET
ajst-30881	52	45	vggnet	vggnet	PROPN
ajst-30881	52	46	model	model	NOUN
ajst-30881	52	47	,	,	PUNCT
ajst-30881	52	48	the	the	DET
ajst-30881	52	49	appropriate	appropriate	ADJ
ajst-30881	52	50	number	number	NOUN
ajst-30881	52	51	of	of	ADP
ajst-30881	52	52	network	network	NOUN
ajst-30881	52	53	layers	layer	NOUN
ajst-30881	52	54	was	be	AUX
ajst-30881	52	55	selected	select	VERB
ajst-30881	52	56	;	;	PUNCT
ajst-30881	52	57	for	for	ADP
ajst-30881	52	58	the	the	DET
ajst-30881	52	59	resnet	resnet	NOUN
ajst-30881	52	60	model	model	NOUN
ajst-30881	52	61	,	,	PUNCT
ajst-30881	52	62	the	the	DET
ajst-30881	52	63	number	number	NOUN
ajst-30881	52	64	and	and	CCONJ
ajst-30881	52	65	structure	structure	NOUN
ajst-30881	52	66	of	of	ADP
ajst-30881	52	67	the	the	DET
ajst-30881	52	68	residual	residual	ADJ
ajst-30881	52	69	blocks	block	NOUN
ajst-30881	52	70	were	be	AUX
ajst-30881	52	71	determined	determine	VERB
ajst-30881	52	72	.	.	PUNCT
ajst-30881	53	1	4.2	4.2	NUM
ajst-30881	53	2	.	.	PUNCT
ajst-30881	53	3	model	model	NOUN
ajst-30881	53	4	training	train	VERB
ajst-30881	53	5	the	the	DET
ajst-30881	53	6	preprocessed	preprocesse	VERB
ajst-30881	53	7	dataset	dataset	NOUN
ajst-30881	53	8	was	be	AUX
ajst-30881	53	9	used	use	VERB
ajst-30881	53	10	to	to	PART
ajst-30881	53	11	train	train	VERB
ajst-30881	53	12	the	the	DET
ajst-30881	53	13	built	build	VERB
ajst-30881	53	14	models	model	NOUN
ajst-30881	53	15	.	.	PUNCT
ajst-30881	54	1	during	during	ADP
ajst-30881	54	2	the	the	DET
ajst-30881	54	3	training	training	NOUN
ajst-30881	54	4	process	process	NOUN
ajst-30881	54	5	,	,	PUNCT
ajst-30881	54	6	the	the	DET
ajst-30881	54	7	cross	cross	NOUN
ajst-30881	54	8	entropy	entropy	PROPN
ajst-30881	54	9	loss	loss	NOUN
ajst-30881	54	10	function	function	NOUN
ajst-30881	54	11	was	be	AUX
ajst-30881	54	12	used	use	VERB
ajst-30881	54	13	to	to	PART
ajst-30881	54	14	measure	measure	VERB
ajst-30881	54	15	the	the	DET
ajst-30881	54	16	difference	difference	NOUN
ajst-30881	54	17	between	between	ADP
ajst-30881	54	18	the	the	DET
ajst-30881	54	19	model	model	NOUN
ajst-30881	54	20	's	's	PART
ajst-30881	54	21	prediction	prediction	NOUN
ajst-30881	54	22	results	result	NOUN
ajst-30881	54	23	and	and	CCONJ
ajst-30881	54	24	the	the	DET
ajst-30881	54	25	true	true	ADJ
ajst-30881	54	26	labels	label	NOUN
ajst-30881	54	27	.	.	PUNCT
ajst-30881	55	1	the	the	DET
ajst-30881	55	2	stochastic	stochastic	ADJ
ajst-30881	55	3	gradient	gradient	ADJ
ajst-30881	55	4	descent	descent	NOUN
ajst-30881	55	5	(	(	PUNCT
ajst-30881	55	6	sgd	sgd	NOUN
ajst-30881	55	7	)	)	PUNCT
ajst-30881	55	8	algorithm	algorithm	NOUN
ajst-30881	55	9	was	be	AUX
ajst-30881	55	10	used	use	VERB
ajst-30881	55	11	as	as	ADP
ajst-30881	55	12	the	the	DET
ajst-30881	55	13	optimizer	optimizer	NOUN
ajst-30881	55	14	,	,	PUNCT
ajst-30881	55	15	with	with	ADP
ajst-30881	55	16	a	a	DET
ajst-30881	55	17	learning	learn	VERB
ajst-30881	55	18	rate	rate	NOUN
ajst-30881	55	19	set	set	VERB
ajst-30881	55	20	to	to	ADP
ajst-30881	55	21	0.001	0.001	NUM
ajst-30881	55	22	and	and	CCONJ
ajst-30881	55	23	a	a	DET
ajst-30881	55	24	momentum	momentum	NOUN
ajst-30881	55	25	factor	factor	NOUN
ajst-30881	55	26	set	set	VERB
ajst-30881	55	27	to	to	ADP
ajst-30881	55	28	0.9	0.9	NUM
ajst-30881	55	29	.	.	PUNCT
ajst-30881	56	1	the	the	DET
ajst-30881	56	2	dataset	dataset	NOUN
ajst-30881	56	3	was	be	AUX
ajst-30881	56	4	divided	divide	VERB
ajst-30881	56	5	into	into	ADP
ajst-30881	56	6	a	a	DET
ajst-30881	56	7	training	training	NOUN
ajst-30881	56	8	set	set	NOUN
ajst-30881	56	9	,	,	PUNCT
ajst-30881	56	10	a	a	DET
ajst-30881	56	11	validation	validation	NOUN
ajst-30881	56	12	set	set	NOUN
ajst-30881	56	13	,	,	PUNCT
ajst-30881	56	14	and	and	CCONJ
ajst-30881	56	15	a	a	DET
ajst-30881	56	16	test	test	NOUN
ajst-30881	56	17	set	set	VERB
ajst-30881	56	18	in	in	ADP
ajst-30881	56	19	the	the	DET
ajst-30881	56	20	ratio	ratio	NOUN
ajst-30881	56	21	of	of	ADP
ajst-30881	56	22	70%:15%:15	70%:15%:15	NUM
ajst-30881	56	23	%	%	NOUN
ajst-30881	56	24	.	.	PUNCT
ajst-30881	57	1	during	during	ADP
ajst-30881	57	2	the	the	DET
ajst-30881	57	3	training	training	NOUN
ajst-30881	57	4	process	process	NOUN
ajst-30881	57	5	,	,	PUNCT
ajst-30881	57	6	after	after	ADP
ajst-30881	57	7	each	each	DET
ajst-30881	57	8	epoch	epoch	NOUN
ajst-30881	57	9	of	of	ADP
ajst-30881	57	10	training	training	NOUN
ajst-30881	57	11	,	,	PUNCT
ajst-30881	57	12	validation	validation	NOUN
ajst-30881	57	13	was	be	AUX
ajst-30881	57	14	performed	perform	VERB
ajst-30881	57	15	on	on	ADP
ajst-30881	57	16	the	the	DET
ajst-30881	57	17	validation	validation	NOUN
ajst-30881	57	18	set	set	NOUN
ajst-30881	57	19	.	.	PUNCT
ajst-30881	58	1	the	the	DET
ajst-30881	58	2	parameters	parameter	NOUN
ajst-30881	58	3	of	of	ADP
ajst-30881	58	4	the	the	DET
ajst-30881	58	5	model	model	NOUN
ajst-30881	58	6	were	be	AUX
ajst-30881	58	7	adjusted	adjust	VERB
ajst-30881	58	8	according	accord	VERB
ajst-30881	58	9	to	to	ADP
ajst-30881	58	10	the	the	DET
ajst-30881	58	11	loss	loss	NOUN
ajst-30881	58	12	and	and	CCONJ
ajst-30881	58	13	accuracy	accuracy	NOUN
ajst-30881	58	14	on	on	ADP
ajst-30881	58	15	the	the	DET
ajst-30881	58	16	validation	validation	NOUN
ajst-30881	58	17	set	set	VERB
ajst-30881	58	18	to	to	PART
ajst-30881	58	19	prevent	prevent	VERB
ajst-30881	58	20	overfitting	overfitting	NOUN
ajst-30881	58	21	.	.	PUNCT
ajst-30881	59	1	the	the	DET
ajst-30881	59	2	training	training	NOUN
ajst-30881	59	3	loss	loss	NOUN
ajst-30881	59	4	,	,	PUNCT
ajst-30881	59	5	validation	validation	NOUN
ajst-30881	59	6	loss	loss	NOUN
ajst-30881	59	7	,	,	PUNCT
ajst-30881	59	8	training	training	NOUN
ajst-30881	59	9	accuracy	accuracy	NOUN
ajst-30881	59	10	,	,	PUNCT
ajst-30881	59	11	and	and	CCONJ
ajst-30881	59	12	validation	validation	NOUN
ajst-30881	59	13	accuracy	accuracy	NOUN
ajst-30881	59	14	of	of	ADP
ajst-30881	59	15	each	each	DET
ajst-30881	59	16	epoch	epoch	NOUN
ajst-30881	59	17	were	be	AUX
ajst-30881	59	18	recorded	record	VERB
ajst-30881	59	19	during	during	ADP
ajst-30881	59	20	the	the	DET
ajst-30881	59	21	training	training	NOUN
ajst-30881	59	22	process	process	NOUN
ajst-30881	59	23	,	,	PUNCT
ajst-30881	59	24	and	and	CCONJ
ajst-30881	59	25	the	the	DET
ajst-30881	59	26	loss	loss	NOUN
ajst-30881	59	27	function	function	NOUN
ajst-30881	59	28	change	change	NOUN
ajst-30881	59	29	curve	curve	NOUN
ajst-30881	59	30	and	and	CCONJ
ajst-30881	59	31	the	the	DET
ajst-30881	59	32	accuracy	accuracy	NOUN
ajst-30881	59	33	improvement	improvement	NOUN
ajst-30881	59	34	curve	curve	NOUN
ajst-30881	59	35	were	be	AUX
ajst-30881	59	36	drawn	draw	VERB
ajst-30881	59	37	.	.	PUNCT
ajst-30881	60	1	5	5	X
ajst-30881	60	2	.	.	X
ajst-30881	60	3	experimental	experimental	ADJ
ajst-30881	60	4	results	result	NOUN
ajst-30881	60	5	and	and	CCONJ
ajst-30881	60	6	analysis	analysis	NOUN
ajst-30881	60	7	5.1	5.1	NUM
ajst-30881	60	8	.	.	PUNCT
ajst-30881	61	1	comparison	comparison	NOUN
ajst-30881	61	2	of	of	ADP
ajst-30881	61	3	model	model	NOUN
ajst-30881	61	4	performance	performance	NOUN
ajst-30881	61	5	indicators	indicator	NOUN
ajst-30881	61	6	the	the	DET
ajst-30881	61	7	trained	train	VERB
ajst-30881	61	8	lenet、alexnet、vggnet	lenet、alexnet、vggnet	NOUN
ajst-30881	61	9	and	and	CCONJ
ajst-30881	61	10	resnet	resnet	NOUN
ajst-30881	61	11	models	model	NOUN
ajst-30881	61	12	were	be	AUX
ajst-30881	61	13	tested	test	VERB
ajst-30881	61	14	on	on	ADP
ajst-30881	61	15	the	the	DET
ajst-30881	61	16	test	test	NOUN
ajst-30881	61	17	set	set	NOUN
ajst-30881	61	18	,	,	PUNCT
ajst-30881	61	19	and	and	CCONJ
ajst-30881	61	20	the	the	DET
ajst-30881	61	21	detection	detection	NOUN
ajst-30881	61	22	accuracy	accuracy	NOUN
ajst-30881	61	23	,	,	PUNCT
ajst-30881	61	24	recall	recall	NOUN
ajst-30881	61	25	rate	rate	NOUN
ajst-30881	61	26	,	,	PUNCT
ajst-30881	61	27	and	and	CCONJ
ajst-30881	61	28	f1	f1	NOUN
ajst-30881	61	29	value	value	NOUN
ajst-30881	61	30	of	of	ADP
ajst-30881	61	31	each	each	DET
ajst-30881	61	32	model	model	NOUN
ajst-30881	61	33	were	be	AUX
ajst-30881	61	34	calculated	calculate	VERB
ajst-30881	61	35	.	.	PUNCT
ajst-30881	62	1	the	the	DET
ajst-30881	62	2	results	result	NOUN
ajst-30881	62	3	are	be	AUX
ajst-30881	62	4	shown	show	VERB
ajst-30881	62	5	in	in	ADP
ajst-30881	62	6	table	table	NOUN
ajst-30881	62	7	1	1	NUM
ajst-30881	62	8	:	:	PUNCT
ajst-30881	62	9	|	|	ADV
ajst-30881	62	10	model	model	NOUN
ajst-30881	62	11	|	|	ADV
ajst-30881	62	12	accuracy	accuracy	NOUN
ajst-30881	62	13	(	(	PUNCT
ajst-30881	62	14	%	%	INTJ
ajst-30881	62	15	)	)	PUNCT
ajst-30881	62	16	|	|	ADV
ajst-30881	62	17	recall	recall	NOUN
ajst-30881	62	18	rate	rate	NOUN
ajst-30881	62	19	(	(	PUNCT
ajst-30881	62	20	%	%	INTJ
ajst-30881	62	21	)	)	PUNCT
ajst-30881	62	22	|	|	ADV
ajst-30881	62	23	f1	f1	NOUN
ajst-30881	62	24	value	value	NOUN
ajst-30881	62	25	|	|	NOUN
ajst-30881	62	26	model	model	NOUN
ajst-30881	62	27	accuracy	accuracy	NOUN
ajst-30881	62	28	(	(	PUNCT
ajst-30881	62	29	%	%	INTJ
ajst-30881	62	30	)	)	PUNCT
ajst-30881	62	31	recall	recall	NOUN
ajst-30881	62	32	rate	rate	NOUN
ajst-30881	62	33	(	(	PUNCT
ajst-30881	62	34	%	%	INTJ
ajst-30881	62	35	)	)	PUNCT
ajst-30881	62	36	f1	f1	NOUN
ajst-30881	62	37	score	score	NOUN
ajst-30881	62	38	lenet	lenet	NOUN
ajst-30881	62	39	78.5	78.5	NUM
ajst-30881	62	40	75.3	75.3	NUM
ajst-30881	62	41	76.8	76.8	NUM
ajst-30881	62	42	alexnet	alexnet	NOUN
ajst-30881	62	43	85.2	85.2	NUM
ajst-30881	62	44	82.1	82.1	NUM
ajst-30881	62	45	83.6	83.6	NUM
ajst-30881	62	46	vggnet	vggnet	NOUN
ajst-30881	62	47	88.4	88.4	NUM
ajst-30881	62	48	86.7	86.7	NUM
ajst-30881	62	49	87.5	87.5	NUM
ajst-30881	62	50	resnet	resnet	NOUN
ajst-30881	62	51	92.6	92.6	NUM
ajst-30881	62	52	91.3	91.3	NUM
ajst-30881	62	53	91.9	91.9	NUM
ajst-30881	62	54	it	it	PRON
ajst-30881	62	55	can	can	AUX
ajst-30881	62	56	be	be	AUX
ajst-30881	62	57	seen	see	VERB
ajst-30881	62	58	from	from	ADP
ajst-30881	62	59	table	table	NOUN
ajst-30881	62	60	1	1	NUM
ajst-30881	62	61	that	that	SCONJ
ajst-30881	62	62	the	the	DET
ajst-30881	62	63	resnet	resnet	NOUN
ajst-30881	62	64	model	model	NOUN
ajst-30881	62	65	performs	perform	VERB
ajst-30881	62	66	best	well	ADV
ajst-30881	62	67	in	in	ADP
ajst-30881	62	68	terms	term	NOUN
ajst-30881	62	69	of	of	ADP
ajst-30881	62	70	detection	detection	NOUN
ajst-30881	62	71	accuracy	accuracy	NOUN
ajst-30881	62	72	,	,	PUNCT
ajst-30881	62	73	recall	recall	NOUN
ajst-30881	62	74	rate	rate	NOUN
ajst-30881	62	75	,	,	PUNCT
ajst-30881	62	76	and	and	CCONJ
ajst-30881	62	77	f1	f1	NOUN
ajst-30881	62	78	value	value	NOUN
ajst-30881	62	79	.	.	PUNCT
ajst-30881	63	1	this	this	DET
ajst-30881	63	2	benefits	benefit	NOUN
ajst-30881	63	3	from	from	ADP
ajst-30881	63	4	its	its	PRON
ajst-30881	63	5	unique	unique	ADJ
ajst-30881	63	6	residual	residual	ADJ
ajst-30881	63	7	connection	connection	NOUN
ajst-30881	63	8	structure	structure	NOUN
ajst-30881	63	9	,	,	PUNCT
ajst-30881	63	10	which	which	PRON
ajst-30881	63	11	can	can	AUX
ajst-30881	63	12	effectively	effectively	ADV
ajst-30881	63	13	alleviate	alleviate	VERB
ajst-30881	63	14	the	the	DET
ajst-30881	63	15	problem	problem	NOUN
ajst-30881	63	16	of	of	ADP
ajst-30881	63	17	gradient	gradient	NOUN
ajst-30881	63	18	vanishing	vanishing	NOUN
ajst-30881	63	19	and	and	CCONJ
ajst-30881	63	20	enable	enable	VERB
ajst-30881	63	21	the	the	DET
ajst-30881	63	22	network	network	NOUN
ajst-30881	63	23	to	to	PART
ajst-30881	63	24	learn	learn	VERB
ajst-30881	63	25	richer	rich	ADJ
ajst-30881	63	26	features	feature	NOUN
ajst-30881	63	27	.	.	PUNCT
ajst-30881	64	1	the	the	DET
ajst-30881	64	2	performance	performance	NOUN
ajst-30881	64	3	of	of	ADP
ajst-30881	64	4	the	the	DET
ajst-30881	64	5	vggnet	vggnet	NOUN
ajst-30881	64	6	model	model	NOUN
ajst-30881	64	7	is	be	AUX
ajst-30881	64	8	the	the	DET
ajst-30881	64	9	second	second	ADJ
ajst-30881	64	10	best	good	ADJ
ajst-30881	64	11	.	.	PUNCT
ajst-30881	65	1	it	it	PRON
ajst-30881	65	2	improves	improve	VERB
ajst-30881	65	3	the	the	DET
ajst-30881	65	4	model	model	NOUN
ajst-30881	65	5	's	's	PART
ajst-30881	65	6	expressive	expressive	ADJ
ajst-30881	65	7	ability	ability	NOUN
ajst-30881	65	8	through	through	ADP
ajst-30881	65	9	the	the	DET
ajst-30881	65	10	stacking	stacking	NOUN
ajst-30881	65	11	of	of	ADP
ajst-30881	65	12	multiple	multiple	ADJ
ajst-30881	65	13	convolutional	convolutional	ADJ
ajst-30881	65	14	layers	layer	NOUN
ajst-30881	65	15	.	.	PUNCT
ajst-30881	66	1	the	the	DET
ajst-30881	66	2	performance	performance	NOUN
ajst-30881	66	3	of	of	ADP
ajst-30881	66	4	the	the	DET
ajst-30881	66	5	alexnet	alexnet	ADJ
ajst-30881	66	6	model	model	NOUN
ajst-30881	66	7	and	and	CCONJ
ajst-30881	66	8	the	the	DET
ajst-30881	66	9	lenet	lenet	NOUN
ajst-30881	66	10	model	model	NOUN
ajst-30881	66	11	is	be	AUX
ajst-30881	66	12	relatively	relatively	ADV
ajst-30881	66	13	low	low	ADJ
ajst-30881	66	14	,	,	PUNCT
ajst-30881	66	15	mainly	mainly	ADV
ajst-30881	66	16	because	because	SCONJ
ajst-30881	66	17	their	their	PRON
ajst-30881	66	18	network	network	NOUN
ajst-30881	66	19	structures	structure	NOUN
ajst-30881	66	20	are	be	AUX
ajst-30881	66	21	relatively	relatively	ADV
ajst-30881	66	22	simple	simple	ADJ
ajst-30881	66	23	.	.	PUNCT
ajst-30881	67	1	when	when	SCONJ
ajst-30881	67	2	dealing	deal	VERB
ajst-30881	67	3	with	with	ADP
ajst-30881	67	4	complex	complex	ADJ
ajst-30881	67	5	industrial	industrial	ADJ
ajst-30881	67	6	product	product	NOUN
ajst-30881	67	7	defect	defect	NOUN
ajst-30881	67	8	detection	detection	NOUN
ajst-30881	67	9	tasks	task	NOUN
ajst-30881	67	10	,	,	PUNCT
ajst-30881	67	11	it	it	PRON
ajst-30881	67	12	is	be	AUX
ajst-30881	67	13	difficult	difficult	ADJ
ajst-30881	67	14	for	for	SCONJ
ajst-30881	67	15	them	they	PRON
ajst-30881	67	16	to	to	PART
ajst-30881	67	17	learn	learn	VERB
ajst-30881	67	18	sufficient	sufficient	ADJ
ajst-30881	67	19	features	feature	NOUN
ajst-30881	67	20	.	.	PUNCT
ajst-30881	68	1	5.2	5.2	NUM
ajst-30881	68	2	.	.	PUNCT
ajst-30881	69	1	analysis	analysis	NOUN
ajst-30881	69	2	of	of	ADP
ajst-30881	69	3	the	the	DET
ajst-30881	69	4	model	model	NOUN
ajst-30881	69	5	training	training	NOUN
ajst-30881	69	6	process	process	NOUN
ajst-30881	69	7	figure	figure	NOUN
ajst-30881	69	8	1	1	NUM
ajst-30881	69	9	shows	show	VERB
ajst-30881	69	10	the	the	DET
ajst-30881	69	11	change	change	NOUN
ajst-30881	69	12	curves	curve	NOUN
ajst-30881	69	13	of	of	ADP
ajst-30881	69	14	the	the	DET
ajst-30881	69	15	loss	loss	NOUN
ajst-30881	69	16	functions	function	NOUN
ajst-30881	69	17	of	of	ADP
ajst-30881	69	18	the	the	DET
ajst-30881	69	19	lenet	lenet	NOUN
ajst-30881	69	20	,	,	PUNCT
ajst-30881	69	21	alexnet	alexnet	NOUN
ajst-30881	69	22	,	,	PUNCT
ajst-30881	69	23	vggnet	vggnet	NOUN
ajst-30881	69	24	,	,	PUNCT
ajst-30881	69	25	and	and	CCONJ
ajst-30881	69	26	resnet	resnet	NOUN
ajst-30881	69	27	models	model	NOUN
ajst-30881	69	28	during	during	ADP
ajst-30881	69	29	the	the	DET
ajst-30881	69	30	training	training	NOUN
ajst-30881	69	31	process	process	NOUN
ajst-30881	69	32	.	.	PUNCT
ajst-30881	70	1	minmax	minmax	PROPN
ajst-30881	70	2	minx	minx	PROPN
ajst-30881	70	3	xx	xx	NUM
ajst-30881	70	4	xx	xx	NUM
ajst-30881	70	5	norm	norm	PROPN
ajst-30881	70	6			PROPN
ajst-30881	70	7			PROPN
ajst-30881	70	8			NOUN
ajst-30881	70	9	24	24	NUM
ajst-30881	70	10	figure	figure	NOUN
ajst-30881	70	11	1	1	NUM
ajst-30881	70	12	.	.	PUNCT
ajst-30881	71	1	change	change	VERB
ajst-30881	71	2	curves	curve	NOUN
ajst-30881	71	3	of	of	ADP
ajst-30881	71	4	the	the	DET
ajst-30881	71	5	loss	loss	NOUN
ajst-30881	71	6	function	function	NOUN
ajst-30881	71	7	during	during	ADP
ajst-30881	71	8	model	model	NOUN
ajst-30881	71	9	training	training	NOUN
ajst-30881	71	10	it	it	PRON
ajst-30881	71	11	can	can	AUX
ajst-30881	71	12	be	be	AUX
ajst-30881	71	13	seen	see	VERB
ajst-30881	71	14	from	from	ADP
ajst-30881	71	15	figure	figure	NOUN
ajst-30881	71	16	1	1	NUM
ajst-30881	71	17	that	that	SCONJ
ajst-30881	71	18	in	in	ADP
ajst-30881	71	19	the	the	DET
ajst-30881	71	20	initial	initial	ADJ
ajst-30881	71	21	stage	stage	NOUN
ajst-30881	71	22	of	of	ADP
ajst-30881	71	23	training	training	NOUN
ajst-30881	71	24	,	,	PUNCT
ajst-30881	71	25	the	the	DET
ajst-30881	71	26	loss	loss	NOUN
ajst-30881	71	27	values	value	NOUN
ajst-30881	71	28	of	of	ADP
ajst-30881	71	29	the	the	DET
ajst-30881	71	30	four	four	NUM
ajst-30881	71	31	models	model	NOUN
ajst-30881	71	32	all	all	PRON
ajst-30881	71	33	decrease	decrease	VERB
ajst-30881	71	34	rapidly	rapidly	ADV
ajst-30881	71	35	with	with	ADP
ajst-30881	71	36	the	the	DET
ajst-30881	71	37	increase	increase	NOUN
ajst-30881	71	38	of	of	ADP
ajst-30881	71	39	the	the	DET
ajst-30881	71	40	training	training	NOUN
ajst-30881	71	41	epoch	epoch	NOUN
ajst-30881	71	42	.	.	PUNCT
ajst-30881	72	1	as	as	SCONJ
ajst-30881	72	2	the	the	DET
ajst-30881	72	3	training	training	NOUN
ajst-30881	72	4	progresses	progress	VERB
ajst-30881	72	5	,	,	PUNCT
ajst-30881	72	6	the	the	DET
ajst-30881	72	7	loss	loss	NOUN
ajst-30881	72	8	value	value	NOUN
ajst-30881	72	9	of	of	ADP
ajst-30881	72	10	the	the	DET
ajst-30881	72	11	resnet	resnet	NOUN
ajst-30881	72	12	model	model	NOUN
ajst-30881	72	13	decreases	decrease	VERB
ajst-30881	72	14	the	the	DET
ajst-30881	72	15	fastest	fast	ADJ
ajst-30881	72	16	,	,	PUNCT
ajst-30881	72	17	and	and	CCONJ
ajst-30881	72	18	it	it	PRON
ajst-30881	72	19	can	can	AUX
ajst-30881	72	20	maintain	maintain	VERB
ajst-30881	72	21	a	a	DET
ajst-30881	72	22	relatively	relatively	ADV
ajst-30881	72	23	low	low	ADJ
ajst-30881	72	24	loss	loss	NOUN
ajst-30881	72	25	value	value	NOUN
ajst-30881	72	26	in	in	ADP
ajst-30881	72	27	the	the	DET
ajst-30881	72	28	later	later	ADJ
ajst-30881	72	29	stage	stage	NOUN
ajst-30881	72	30	of	of	ADP
ajst-30881	72	31	training	training	NOUN
ajst-30881	72	32	,	,	PUNCT
ajst-30881	72	33	indicating	indicate	VERB
ajst-30881	72	34	that	that	SCONJ
ajst-30881	72	35	the	the	DET
ajst-30881	72	36	resnet	resnet	NOUN
ajst-30881	72	37	model	model	NOUN
ajst-30881	72	38	converges	converge	VERB
ajst-30881	72	39	quickly	quickly	ADV
ajst-30881	72	40	and	and	CCONJ
ajst-30881	72	41	can	can	AUX
ajst-30881	72	42	fit	fit	VERB
ajst-30881	72	43	the	the	DET
ajst-30881	72	44	data	datum	NOUN
ajst-30881	72	45	better	well	ADV
ajst-30881	72	46	.	.	PUNCT
ajst-30881	73	1	the	the	DET
ajst-30881	73	2	loss	loss	NOUN
ajst-30881	73	3	value	value	NOUN
ajst-30881	73	4	of	of	ADP
ajst-30881	73	5	the	the	DET
ajst-30881	73	6	lenet	lenet	NOUN
ajst-30881	73	7	model	model	NOUN
ajst-30881	73	8	decreases	decrease	VERB
ajst-30881	73	9	relatively	relatively	ADV
ajst-30881	73	10	slowly	slowly	ADV
ajst-30881	73	11	,	,	PUNCT
ajst-30881	73	12	and	and	CCONJ
ajst-30881	73	13	it	it	PRON
ajst-30881	73	14	fluctuates	fluctuate	VERB
ajst-30881	73	15	in	in	ADP
ajst-30881	73	16	the	the	DET
ajst-30881	73	17	later	later	ADJ
ajst-30881	73	18	stage	stage	NOUN
ajst-30881	73	19	of	of	ADP
ajst-30881	73	20	training	training	NOUN
ajst-30881	73	21	,	,	PUNCT
ajst-30881	73	22	indicating	indicate	VERB
ajst-30881	73	23	that	that	SCONJ
ajst-30881	73	24	the	the	DET
ajst-30881	73	25	training	training	NOUN
ajst-30881	73	26	effect	effect	NOUN
ajst-30881	73	27	of	of	ADP
ajst-30881	73	28	the	the	DET
ajst-30881	73	29	lenet	lenet	NOUN
ajst-30881	73	30	model	model	NOUN
ajst-30881	73	31	is	be	AUX
ajst-30881	73	32	relatively	relatively	ADV
ajst-30881	73	33	poor	poor	ADJ
ajst-30881	73	34	.	.	PUNCT
ajst-30881	74	1	figure	figure	NOUN
ajst-30881	74	2	2	2	NUM
ajst-30881	74	3	.	.	PUNCT
ajst-30881	74	4	accuracy	accuracy	NOUN
ajst-30881	74	5	improvement	improvement	NOUN
ajst-30881	74	6	curves	curve	NOUN
ajst-30881	74	7	during	during	ADP
ajst-30881	74	8	model	model	NOUN
ajst-30881	74	9	training	training	NOUN
ajst-30881	74	10	it	it	PRON
ajst-30881	74	11	can	can	AUX
ajst-30881	74	12	be	be	AUX
ajst-30881	74	13	seen	see	VERB
ajst-30881	74	14	from	from	ADP
ajst-30881	74	15	figure	figure	NOUN
ajst-30881	74	16	2	2	NUM
ajst-30881	74	17	that	that	SCONJ
ajst-30881	74	18	the	the	DET
ajst-30881	74	19	accuracy	accuracy	NOUN
ajst-30881	74	20	of	of	ADP
ajst-30881	74	21	the	the	DET
ajst-30881	74	22	resnet	resnet	NOUN
ajst-30881	74	23	model	model	NOUN
ajst-30881	74	24	improves	improve	VERB
ajst-30881	74	25	the	the	DET
ajst-30881	74	26	fastest	fast	ADJ
ajst-30881	74	27	.	.	PUNCT
ajst-30881	75	1	after	after	ADP
ajst-30881	75	2	20	20	NUM
ajst-30881	75	3	epochs	epoch	NOUN
ajst-30881	75	4	of	of	ADP
ajst-30881	75	5	training	training	NOUN
ajst-30881	75	6	,	,	PUNCT
ajst-30881	75	7	the	the	DET
ajst-30881	75	8	accuracy	accuracy	NOUN
ajst-30881	75	9	reaches	reach	VERB
ajst-30881	75	10	more	more	ADJ
ajst-30881	75	11	than	than	ADP
ajst-30881	75	12	90	90	NUM
ajst-30881	75	13	%	%	NOUN
ajst-30881	75	14	.	.	PUNCT
ajst-30881	76	1	the	the	DET
ajst-30881	76	2	accuracy	accuracy	NOUN
ajst-30881	76	3	improvement	improvement	NOUN
ajst-30881	76	4	speeds	speed	NOUN
ajst-30881	76	5	of	of	ADP
ajst-30881	76	6	the	the	DET
ajst-30881	76	7	vggnet	vggnet	NOUN
ajst-30881	76	8	model	model	NOUN
ajst-30881	76	9	and	and	CCONJ
ajst-30881	76	10	the	the	DET
ajst-30881	76	11	alexnet	alexnet	ADJ
ajst-30881	76	12	model	model	NOUN
ajst-30881	76	13	are	be	AUX
ajst-30881	76	14	the	the	DET
ajst-30881	76	15	second	second	ADJ
ajst-30881	76	16	,	,	PUNCT
ajst-30881	76	17	and	and	CCONJ
ajst-30881	76	18	the	the	DET
ajst-30881	76	19	accuracy	accuracy	NOUN
ajst-30881	76	20	improvement	improvement	NOUN
ajst-30881	76	21	speed	speed	NOUN
ajst-30881	76	22	of	of	ADP
ajst-30881	76	23	the	the	DET
ajst-30881	76	24	lenet	lenet	NOUN
ajst-30881	76	25	model	model	NOUN
ajst-30881	76	26	is	be	AUX
ajst-30881	76	27	the	the	DET
ajst-30881	76	28	slowest	slow	ADJ
ajst-30881	76	29	.	.	PUNCT
ajst-30881	77	1	this	this	PRON
ajst-30881	77	2	further	far	ADV
ajst-30881	77	3	proves	prove	VERB
ajst-30881	77	4	the	the	DET
ajst-30881	77	5	advantages	advantage	NOUN
ajst-30881	77	6	of	of	ADP
ajst-30881	77	7	the	the	DET
ajst-30881	77	8	resnet	resnet	NOUN
ajst-30881	77	9	model	model	NOUN
ajst-30881	77	10	in	in	ADP
ajst-30881	77	11	industrial	industrial	ADJ
ajst-30881	77	12	product	product	NOUN
ajst-30881	77	13	defect	defect	NOUN
ajst-30881	77	14	detection	detection	NOUN
ajst-30881	77	15	tasks	task	NOUN
ajst-30881	77	16	.	.	PUNCT
ajst-30881	78	1	6	6	X
ajst-30881	78	2	.	.	X
ajst-30881	78	3	conclusion	conclusion	NOUN
ajst-30881	78	4	this	this	DET
ajst-30881	78	5	study	study	NOUN
ajst-30881	78	6	applied	apply	VERB
ajst-30881	78	7	deep	deep	ADJ
ajst-30881	78	8	learning	learning	NOUN
ajst-30881	78	9	technology	technology	NOUN
ajst-30881	78	10	to	to	ADP
ajst-30881	78	11	industrial	industrial	ADJ
ajst-30881	78	12	product	product	NOUN
ajst-30881	78	13	defect	defect	NOUN
ajst-30881	78	14	detection	detection	NOUN
ajst-30881	78	15	.	.	PUNCT
ajst-30881	79	1	it	it	PRON
ajst-30881	79	2	collected	collect	VERB
ajst-30881	79	3	actual	actual	ADJ
ajst-30881	79	4	production	production	NOUN
ajst-30881	79	5	data	datum	NOUN
ajst-30881	79	6	to	to	PART
ajst-30881	79	7	build	build	VERB
ajst-30881	79	8	and	and	CCONJ
ajst-30881	79	9	train	train	NOUN
ajst-30881	79	10	models	model	NOUN
ajst-30881	79	11	such	such	ADJ
ajst-30881	79	12	as	as	ADP
ajst-30881	79	13	lenet	lenet	NOUN
ajst-30881	79	14	,	,	PUNCT
ajst-30881	79	15	alexnet	alexnet	NOUN
ajst-30881	79	16	,	,	PUNCT
ajst-30881	79	17	vggnet	vggnet	NOUN
ajst-30881	79	18	,	,	PUNCT
ajst-30881	79	19	and	and	CCONJ
ajst-30881	79	20	resnet	resnet	NOUN
ajst-30881	79	21	,	,	PUNCT
ajst-30881	79	22	and	and	CCONJ
ajst-30881	79	23	compared	compare	VERB
ajst-30881	79	24	and	and	CCONJ
ajst-30881	79	25	analyzed	analyze	VERB
ajst-30881	79	26	their	their	PRON
ajst-30881	79	27	performance	performance	NOUN
ajst-30881	79	28	indicators	indicator	NOUN
ajst-30881	79	29	and	and	CCONJ
ajst-30881	79	30	training	training	NOUN
ajst-30881	79	31	processes	process	NOUN
ajst-30881	79	32	.	.	PUNCT
ajst-30881	80	1	it	it	PRON
ajst-30881	80	2	was	be	AUX
ajst-30881	80	3	found	find	VERB
ajst-30881	80	4	that	that	SCONJ
ajst-30881	80	5	the	the	DET
ajst-30881	80	6	resnet	resnet	NOUN
ajst-30881	80	7	model	model	NOUN
ajst-30881	80	8	performed	perform	VERB
ajst-30881	80	9	best	well	ADV
ajst-30881	80	10	,	,	PUNCT
ajst-30881	80	11	providing	provide	VERB
ajst-30881	80	12	an	an	DET
ajst-30881	80	13	efficient	efficient	ADJ
ajst-30881	80	14	solution	solution	NOUN
ajst-30881	80	15	for	for	ADP
ajst-30881	80	16	industrial	industrial	ADJ
ajst-30881	80	17	product	product	NOUN
ajst-30881	80	18	quality	quality	NOUN
ajst-30881	80	19	inspection	inspection	NOUN
ajst-30881	80	20	and	and	CCONJ
ajst-30881	80	21	also	also	ADV
ajst-30881	80	22	enhancing	enhance	VERB
ajst-30881	80	23	the	the	DET
ajst-30881	80	24	practical	practical	ADJ
ajst-30881	80	25	operation	operation	NOUN
ajst-30881	80	26	ability	ability	NOUN
ajst-30881	80	27	of	of	ADP
ajst-30881	80	28	higher	high	ADJ
ajst-30881	80	29	vocational	vocational	ADJ
ajst-30881	80	30	computer	computer	NOUN
ajst-30881	80	31	application	application	NOUN
ajst-30881	80	32	majors	major	NOUN
ajst-30881	80	33	.	.	PUNCT
ajst-30881	81	1	however	however	ADV
ajst-30881	81	2	,	,	PUNCT
ajst-30881	81	3	there	there	PRON
ajst-30881	81	4	are	be	VERB
ajst-30881	81	5	still	still	ADV
ajst-30881	81	6	some	some	DET
ajst-30881	81	7	shortcomings	shortcoming	NOUN
ajst-30881	81	8	in	in	ADP
ajst-30881	81	9	this	this	DET
ajst-30881	81	10	study	study	NOUN
ajst-30881	81	11	.	.	PUNCT
ajst-30881	82	1	in	in	ADP
ajst-30881	82	2	the	the	DET
ajst-30881	82	3	future	future	NOUN
ajst-30881	82	4	,	,	PUNCT
ajst-30881	82	5	research	research	NOUN
ajst-30881	82	6	can	can	AUX
ajst-30881	82	7	be	be	AUX
ajst-30881	82	8	carried	carry	VERB
ajst-30881	82	9	out	out	ADP
ajst-30881	82	10	from	from	ADP
ajst-30881	82	11	aspects	aspect	NOUN
ajst-30881	82	12	such	such	ADJ
ajst-30881	82	13	as	as	ADP
ajst-30881	82	14	optimizing	optimize	VERB
ajst-30881	82	15	model	model	NOUN
ajst-30881	82	16	structure	structure	NOUN
ajst-30881	82	17	parameters	parameter	NOUN
ajst-30881	82	18	,	,	PUNCT
ajst-30881	82	19	exploring	explore	VERB
ajst-30881	82	20	advanced	advanced	ADJ
ajst-30881	82	21	compression	compression	NOUN
ajst-30881	82	22	and	and	CCONJ
ajst-30881	82	23	acceleration	acceleration	NOUN
ajst-30881	82	24	technologies	technology	NOUN
ajst-30881	82	25	,	,	PUNCT
ajst-30881	82	26	introducing	introduce	VERB
ajst-30881	82	27	multi	multi	ADJ
ajst-30881	82	28	modal	modal	NOUN
ajst-30881	82	29	data	datum	NOUN
ajst-30881	82	30	,	,	PUNCT
ajst-30881	82	31	and	and	CCONJ
ajst-30881	82	32	strengthening	strengthen	VERB
ajst-30881	82	33	school	school	NOUN
ajst-30881	82	34	enterprise	enterprise	NOUN
ajst-30881	82	35	cooperation	cooperation	NOUN
ajst-30881	82	36	to	to	PART
ajst-30881	82	37	improve	improve	VERB
ajst-30881	82	38	the	the	DET
ajst-30881	82	39	detection	detection	NOUN
ajst-30881	82	40	speed	speed	NOUN
ajst-30881	82	41	,	,	PUNCT
ajst-30881	82	42	accuracy	accuracy	NOUN
ajst-30881	82	43	,	,	PUNCT
ajst-30881	82	44	and	and	CCONJ
ajst-30881	82	45	robustness	robustness	NOUN
ajst-30881	82	46	of	of	ADP
ajst-30881	82	47	the	the	DET
ajst-30881	82	48	model	model	NOUN
ajst-30881	82	49	,	,	PUNCT
ajst-30881	82	50	and	and	CCONJ
ajst-30881	82	51	to	to	PART
ajst-30881	82	52	improve	improve	VERB
ajst-30881	82	53	the	the	DET
ajst-30881	82	54	technical	technical	ADJ
ajst-30881	82	55	solution	solution	NOUN
ajst-30881	82	56	,	,	PUNCT
ajst-30881	82	57	providing	provide	VERB
ajst-30881	82	58	more	more	ADV
ajst-30881	82	59	reliable	reliable	ADJ
ajst-30881	82	60	support	support	NOUN
ajst-30881	82	61	for	for	ADP
ajst-30881	82	62	industrial	industrial	ADJ
ajst-30881	82	63	product	product	NOUN
ajst-30881	82	64	quality	quality	NOUN
ajst-30881	82	65	inspection	inspection	NOUN
ajst-30881	82	66	.	.	PUNCT
ajst-30881	83	1	references	reference	NOUN
ajst-30881	83	2	[	[	X
ajst-30881	83	3	1	1	X
ajst-30881	83	4	]	]	PUNCT
ajst-30881	83	5	wang	wang	PROPN
ajst-30881	83	6	xingqiang	xingqiang	PROPN
ajst-30881	83	7	.	.	PUNCT
ajst-30881	84	1	research	research	NOUN
ajst-30881	84	2	on	on	ADP
ajst-30881	84	3	anti	anti	ADJ
ajst-30881	84	4	counterfeiting	counterfeit	VERB
ajst-30881	84	5	image	image	NOUN
ajst-30881	84	6	recognition	recognition	NOUN
ajst-30881	84	7	system	system	NOUN
ajst-30881	84	8	based	base	VERB
ajst-30881	84	9	on	on	ADP
ajst-30881	84	10	artificial	artificial	ADJ
ajst-30881	84	11	intelligence	intelligence	NOUN
ajst-30881	85	1	[	[	X
ajst-30881	85	2	j	j	X
ajst-30881	85	3	]	]	X
ajst-30881	85	4	.	.	PUNCT
ajst-30881	86	1	china	china	PROPN
ajst-30881	86	2	brand	brand	PROPN
ajst-30881	86	3	and	and	CCONJ
ajst-30881	86	4	anti	anti	ADJ
ajst-30881	86	5	counterfeiting	counterfeiting	NOUN
ajst-30881	86	6	,	,	PUNCT
ajst-30881	86	7	2025	2025	NUM
ajst-30881	86	8	,	,	PUNCT
ajst-30881	86	9	(	(	PUNCT
ajst-30881	86	10	05):5	05):5	NOUN
ajst-30881	86	11	7	7	NUM
ajst-30881	86	12	.	.	PUNCT
ajst-30881	87	1	[	[	X
ajst-30881	87	2	2	2	X
ajst-30881	87	3	]	]	PUNCT
ajst-30881	87	4	wang	wang	PROPN
ajst-30881	87	5	maozhen	maozhen	PROPN
ajst-30881	87	6	,	,	PUNCT
ajst-30881	87	7	mao	mao	PROPN
ajst-30881	87	8	changjun	changjun	PROPN
ajst-30881	87	9	,	,	PUNCT
ajst-30881	87	10	zheng	zheng	PROPN
ajst-30881	87	11	changyun	changyun	PROPN
ajst-30881	87	12	,	,	PUNCT
ajst-30881	87	13	et	et	PROPN
ajst-30881	87	14	al	al	PROPN
ajst-30881	87	15	.	.	PUNCT
ajst-30881	88	1	design	design	NOUN
ajst-30881	88	2	of	of	ADP
ajst-30881	88	3	an	an	DET
ajst-30881	88	4	unsupervised	unsupervised	ADJ
ajst-30881	88	5	training	training	NOUN
ajst-30881	88	6	framework	framework	NOUN
ajst-30881	88	7	for	for	ADP
ajst-30881	88	8	industrial	industrial	ADJ
ajst-30881	88	9	radiographic	radiographic	ADJ
ajst-30881	88	10	inspection	inspection	NOUN
ajst-30881	88	11	image	image	NOUN
ajst-30881	88	12	recognition	recognition	NOUN
ajst-30881	89	1	[	[	X
ajst-30881	89	2	j	j	X
ajst-30881	89	3	]	]	X
ajst-30881	89	4	.	.	PUNCT
ajst-30881	90	1	electronic	electronic	ADJ
ajst-30881	90	2	design	design	NOUN
ajst-30881	90	3	engineering	engineering	NOUN
ajst-30881	90	4	,	,	PUNCT
ajst-30881	90	5	2025	2025	NUM
ajst-30881	90	6	,	,	PUNCT
ajst-30881	90	7	33(08	33(08	NUM
ajst-30881	90	8	):	):	PUNCT
ajst-30881	90	9	22	22	NUM
ajst-30881	90	10	26	26	NUM
ajst-30881	90	11	.	.	PUNCT
ajst-30881	91	1	doi:10.14022	doi:10.14022	NOUN
ajst-30881	91	2	/	/	SYM
ajst-30881	91	3	j.issn1674	j.issn1674	ADJ
ajst-30881	91	4	6236.2025.08.005	6236.2025.08.005	ADJ
ajst-30881	91	5	.	.	PUNCT
ajst-30881	92	1	[	[	X
ajst-30881	92	2	3	3	X
ajst-30881	92	3	]	]	X
ajst-30881	92	4	zhang	zhang	PROPN
ajst-30881	92	5	junying	junying	PROPN
ajst-30881	92	6	,	,	PUNCT
ajst-30881	92	7	lin	lin	PROPN
ajst-30881	92	8	yanbing	yanbing	PROPN
ajst-30881	92	9	,	,	PUNCT
ajst-30881	92	10	wang	wang	PROPN
ajst-30881	92	11	yongjie	yongjie	PROPN
ajst-30881	92	12	,	,	PUNCT
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ajst-30881	97	17	.	.	PUNCT
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ajst-30881	103	4	.	.	PUNCT
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