id	sid	tid	token	lemma	pos
fcis-32158	1	1	frontiers	frontier	NOUN
fcis-32158	1	2	in	in	ADP
fcis-32158	1	3	computing	computing	NOUN
fcis-32158	1	4	and	and	CCONJ
fcis-32158	1	5	intelligent	intelligent	ADJ
fcis-32158	1	6	systems	system	NOUN
fcis-32158	1	7	issn	issn	VERB
fcis-32158	1	8	:	:	PUNCT
fcis-32158	1	9	2832	2832	NUM
fcis-32158	1	10	-	-	SYM
fcis-32158	1	11	6024	6024	NUM
fcis-32158	1	12	|	|	NOUN
fcis-32158	1	13	vol	vol	NOUN
fcis-32158	1	14	.	.	PUNCT
fcis-32158	2	1	14	14	NUM
fcis-32158	2	2	,	,	PUNCT
fcis-32158	2	3	no	no	INTJ
fcis-32158	2	4	.	.	NOUN
fcis-32158	2	5	1	1	NUM
fcis-32158	2	6	,	,	PUNCT
fcis-32158	2	7	2025	2025	NUM
fcis-32158	2	8	54	54	NUM
fcis-32158	2	9	small	small	ADJ
fcis-32158	2	10	target	target	NOUN
fcis-32158	2	11	defect	defect	NOUN
fcis-32158	2	12	detection	detection	NOUN
fcis-32158	2	13	method	method	NOUN
fcis-32158	2	14	on	on	ADP
fcis-32158	2	15	aluminum	aluminum	NOUN
fcis-32158	2	16	ingot	ingot	NOUN
fcis-32158	2	17	surface	surface	NOUN
fcis-32158	2	18	based	base	VERB
fcis-32158	2	19	on	on	ADP
fcis-32158	2	20	improved	improved	ADJ
fcis-32158	2	21	yolov8n‐simam	yolov8n‐simam	PROPN
fcis-32158	2	22	guangxu	guangxu	NOUN
fcis-32158	2	23	liu	liu	PROPN
fcis-32158	2	24	1	1	NUM
fcis-32158	2	25	,	,	PUNCT
fcis-32158	2	26	batu	batu	PROPN
fcis-32158	2	27	nasheng	nasheng	PROPN
fcis-32158	2	28	2	2	NUM
fcis-32158	2	29	,	,	PUNCT
fcis-32158	2	30	wei	wei	PROPN
fcis-32158	2	31	zheng	zheng	PROPN
fcis-32158	2	32	2	2	NUM
fcis-32158	2	33	,	,	PUNCT
fcis-32158	2	34	liangliang	liangliang	PROPN
fcis-32158	2	35	lv	lv	PROPN
fcis-32158	2	36	2	2	NUM
fcis-32158	2	37	,	,	PUNCT
fcis-32158	2	38	tianhua	tianhua	PROPN
fcis-32158	2	39	zhang	zhang	PROPN
fcis-32158	2	40	2	2	NUM
fcis-32158	2	41	,	,	PUNCT
fcis-32158	2	42	guodong	guodong	ADJ
fcis-32158	2	43	sun	sun	NOUN
fcis-32158	2	44	2	2	NUM
fcis-32158	2	45	1	1	NUM
fcis-32158	2	46	college	college	NOUN
fcis-32158	2	47	of	of	ADP
fcis-32158	2	48	control	control	NOUN
fcis-32158	2	49	science	science	NOUN
fcis-32158	2	50	and	and	CCONJ
fcis-32158	2	51	engineering	engineering	NOUN
fcis-32158	2	52	,	,	PUNCT
fcis-32158	2	53	zhejiang	zhejiang	PROPN
fcis-32158	2	54	university	university	PROPN
fcis-32158	2	55	,	,	PUNCT
fcis-32158	2	56	hangzhou	hangzhou	PROPN
fcis-32158	2	57	,	,	PUNCT
fcis-32158	2	58	zhejiang	zhejiang	PROPN
fcis-32158	2	59	,	,	PUNCT
fcis-32158	2	60	310000	310000	NUM
fcis-32158	2	61	,	,	PUNCT
fcis-32158	2	62	china	china	PROPN
fcis-32158	2	63	2	2	NUM
fcis-32158	2	64	inner	inner	PROPN
fcis-32158	2	65	mongolia	mongolia	PROPN
fcis-32158	2	66	huomei	huomei	PROPN
fcis-32158	2	67	-	-	PUNCT
fcis-32158	2	68	hongjun	hongjun	NOUN
fcis-32158	2	69	aluminum	aluminum	NOUN
fcis-32158	2	70	and	and	CCONJ
fcis-32158	2	71	electricity	electricity	PROPN
fcis-32158	2	72	co.	co.	PROPN
fcis-32158	2	73	,	,	PUNCT
fcis-32158	2	74	ltd	ltd	PROPN
fcis-32158	2	75	.	.	PROPN
fcis-32158	2	76	,	,	PUNCT
fcis-32158	2	77	holingola	holingola	PROPN
fcis-32158	2	78	,	,	PUNCT
fcis-32158	2	79	inner	inner	PROPN
fcis-32158	2	80	mongolia	mongolia	PROPN
fcis-32158	2	81	,	,	PUNCT
fcis-32158	2	82	029200	029200	NUM
fcis-32158	2	83	,	,	PUNCT
fcis-32158	2	84	china	china	PROPN
fcis-32158	2	85	abstract	abstract	NOUN
fcis-32158	2	86	:	:	PUNCT
fcis-32158	2	87	in	in	ADP
fcis-32158	2	88	this	this	DET
fcis-32158	2	89	paper	paper	NOUN
fcis-32158	2	90	,	,	PUNCT
fcis-32158	2	91	an	an	DET
fcis-32158	2	92	intelligent	intelligent	ADJ
fcis-32158	2	93	detection	detection	NOUN
fcis-32158	2	94	solution	solution	NOUN
fcis-32158	2	95	based	base	VERB
fcis-32158	2	96	on	on	ADP
fcis-32158	2	97	the	the	DET
fcis-32158	2	98	improved	improve	VERB
fcis-32158	2	99	yolov8n	yolov8n	NOUN
fcis-32158	2	100	architecture	architecture	NOUN
fcis-32158	2	101	is	be	AUX
fcis-32158	2	102	proposed	propose	VERB
fcis-32158	2	103	to	to	PART
fcis-32158	2	104	address	address	VERB
fcis-32158	2	105	the	the	DET
fcis-32158	2	106	key	key	ADJ
fcis-32158	2	107	challenges	challenge	NOUN
fcis-32158	2	108	in	in	ADP
fcis-32158	2	109	the	the	DET
fcis-32158	2	110	detection	detection	NOUN
fcis-32158	2	111	of	of	ADP
fcis-32158	2	112	surface	surface	NOUN
fcis-32158	2	113	defects	defect	NOUN
fcis-32158	2	114	in	in	ADP
fcis-32158	2	115	aluminum	aluminum	NOUN
fcis-32158	2	116	ingots	ingot	NOUN
fcis-32158	2	117	.	.	PUNCT
fcis-32158	3	1	as	as	ADP
fcis-32158	3	2	an	an	DET
fcis-32158	3	3	important	important	ADJ
fcis-32158	3	4	raw	raw	ADJ
fcis-32158	3	5	material	material	NOUN
fcis-32158	3	6	in	in	ADP
fcis-32158	3	7	modern	modern	ADJ
fcis-32158	3	8	industry	industry	NOUN
fcis-32158	3	9	,	,	PUNCT
fcis-32158	3	10	the	the	DET
fcis-32158	3	11	surface	surface	NOUN
fcis-32158	3	12	defects	defect	NOUN
fcis-32158	3	13	of	of	ADP
fcis-32158	3	14	aluminum	aluminum	NOUN
fcis-32158	3	15	ingots	ingot	NOUN
fcis-32158	3	16	increase	increase	VERB
fcis-32158	3	17	significantly	significantly	ADV
fcis-32158	3	18	in	in	ADP
fcis-32158	3	19	high	high	ADJ
fcis-32158	3	20	-	-	PUNCT
fcis-32158	3	21	speed	speed	NOUN
fcis-32158	3	22	production	production	NOUN
fcis-32158	3	23	environments	environment	NOUN
fcis-32158	3	24	.	.	PUNCT
fcis-32158	4	1	traditional	traditional	ADJ
fcis-32158	4	2	detection	detection	NOUN
fcis-32158	4	3	methods	method	NOUN
fcis-32158	4	4	have	have	VERB
fcis-32158	4	5	difficulty	difficulty	NOUN
fcis-32158	4	6	dealing	deal	VERB
fcis-32158	4	7	with	with	ADP
fcis-32158	4	8	the	the	DET
fcis-32158	4	9	problems	problem	NOUN
fcis-32158	4	10	of	of	ADP
fcis-32158	4	11	small	small	ADJ
fcis-32158	4	12	targets	target	NOUN
fcis-32158	4	13	and	and	CCONJ
fcis-32158	4	14	morphological	morphological	ADJ
fcis-32158	4	15	diversity	diversity	NOUN
fcis-32158	4	16	.	.	PUNCT
fcis-32158	5	1	this	this	DET
fcis-32158	5	2	study	study	NOUN
fcis-32158	5	3	effectively	effectively	ADV
fcis-32158	5	4	improves	improve	VERB
fcis-32158	5	5	the	the	DET
fcis-32158	5	6	model	model	NOUN
fcis-32158	5	7	's	's	PART
fcis-32158	5	8	ability	ability	NOUN
fcis-32158	5	9	to	to	PART
fcis-32158	5	10	recognize	recognize	VERB
fcis-32158	5	11	multi	multi	ADJ
fcis-32158	5	12	-	-	ADJ
fcis-32158	5	13	morphological	morphological	ADJ
fcis-32158	5	14	small	small	ADJ
fcis-32158	5	15	defects	defect	NOUN
fcis-32158	5	16	by	by	ADP
fcis-32158	5	17	introducing	introduce	VERB
fcis-32158	5	18	the	the	DET
fcis-32158	5	19	parameter	parameter	NOUN
fcis-32158	5	20	-	-	PUNCT
fcis-32158	5	21	free	free	ADJ
fcis-32158	5	22	simam	simam	NOUN
fcis-32158	5	23	three	three	NUM
fcis-32158	5	24	-	-	PUNCT
fcis-32158	5	25	dimensional	dimensional	ADJ
fcis-32158	5	26	attention	attention	NOUN
fcis-32158	5	27	mechanism	mechanism	NOUN
fcis-32158	5	28	.	.	PUNCT
fcis-32158	6	1	the	the	DET
fcis-32158	6	2	innovations	innovation	NOUN
fcis-32158	6	3	include	include	VERB
fcis-32158	6	4	:	:	PUNCT
fcis-32158	6	5	1	1	X
fcis-32158	6	6	)	)	PUNCT
fcis-32158	6	7	constructing	construct	VERB
fcis-32158	6	8	a	a	DET
fcis-32158	6	9	high	high	ADJ
fcis-32158	6	10	-	-	PUNCT
fcis-32158	6	11	definition	definition	NOUN
fcis-32158	6	12	aluminum	aluminum	NOUN
fcis-32158	6	13	ingot	ingot	NOUN
fcis-32158	6	14	defect	defect	NOUN
fcis-32158	6	15	dataset	dataset	NOUN
fcis-32158	6	16	based	base	VERB
fcis-32158	6	17	on	on	ADP
fcis-32158	6	18	an	an	DET
fcis-32158	6	19	actual	actual	ADJ
fcis-32158	6	20	production	production	NOUN
fcis-32158	6	21	line	line	NOUN
fcis-32158	6	22	and	and	CCONJ
fcis-32158	6	23	systematically	systematically	ADV
fcis-32158	6	24	analyzing	analyze	VERB
fcis-32158	6	25	the	the	DET
fcis-32158	6	26	scale	scale	NOUN
fcis-32158	6	27	distribution	distribution	NOUN
fcis-32158	6	28	characteristics	characteristic	NOUN
fcis-32158	6	29	of	of	ADP
fcis-32158	6	30	the	the	DET
fcis-32158	6	31	defects	defect	NOUN
fcis-32158	6	32	;	;	PUNCT
fcis-32158	6	33	2	2	X
fcis-32158	6	34	)	)	PUNCT
fcis-32158	6	35	integrating	integrate	VERB
fcis-32158	6	36	the	the	DET
fcis-32158	6	37	threedimensional	threedimensional	ADJ
fcis-32158	6	38	attention	attention	NOUN
fcis-32158	6	39	mechanism	mechanism	NOUN
fcis-32158	6	40	in	in	ADP
fcis-32158	6	41	the	the	DET
fcis-32158	6	42	network	network	NOUN
fcis-32158	6	43	backbone	backbone	NOUN
fcis-32158	6	44	layer	layer	NOUN
fcis-32158	6	45	to	to	PART
fcis-32158	6	46	enhance	enhance	VERB
fcis-32158	6	47	the	the	DET
fcis-32158	6	48	feature	feature	NOUN
fcis-32158	6	49	extraction	extraction	NOUN
fcis-32158	6	50	capability	capability	NOUN
fcis-32158	6	51	of	of	ADP
fcis-32158	6	52	small	small	ADJ
fcis-32158	6	53	targets	target	NOUN
fcis-32158	6	54	and	and	CCONJ
fcis-32158	6	55	solve	solve	VERB
fcis-32158	6	56	the	the	DET
fcis-32158	6	57	morphological	morphological	ADJ
fcis-32158	6	58	diversity	diversity	NOUN
fcis-32158	6	59	problem	problem	NOUN
fcis-32158	6	60	of	of	ADP
fcis-32158	6	61	burrs	burrs	NOUN
fcis-32158	6	62	and	and	CCONJ
fcis-32158	6	63	slag	slag	NOUN
fcis-32158	6	64	inclusions	inclusion	NOUN
fcis-32158	6	65	;	;	PUNCT
fcis-32158	6	66	3	3	X
fcis-32158	6	67	)	)	PUNCT
fcis-32158	6	68	through	through	ADP
fcis-32158	6	69	comparative	comparative	ADJ
fcis-32158	6	70	experimental	experimental	ADJ
fcis-32158	6	71	verification	verification	NOUN
fcis-32158	6	72	,	,	PUNCT
fcis-32158	6	73	the	the	DET
fcis-32158	6	74	improved	improved	ADJ
fcis-32158	6	75	yolov8n	yolov8n	NOUN
fcis-32158	6	76	-	-	PUNCT
fcis-32158	6	77	simam	simam	NOUN
fcis-32158	6	78	model	model	NOUN
fcis-32158	6	79	achieved	achieve	VERB
fcis-32158	6	80	a	a	DET
fcis-32158	6	81	map	map	NOUN
fcis-32158	6	82	of	of	ADP
fcis-32158	6	83	64.5	64.5	NUM
fcis-32158	6	84	%	%	NOUN
fcis-32158	6	85	in	in	ADP
fcis-32158	6	86	aluminum	aluminum	NOUN
fcis-32158	6	87	ingot	ingot	NOUN
fcis-32158	6	88	surface	surface	NOUN
fcis-32158	6	89	defect	defect	NOUN
fcis-32158	6	90	detection	detection	NOUN
fcis-32158	6	91	,	,	PUNCT
fcis-32158	6	92	an	an	DET
fcis-32158	6	93	increase	increase	NOUN
fcis-32158	6	94	of	of	ADP
fcis-32158	6	95	9	9	NUM
fcis-32158	6	96	percentage	percentage	NOUN
fcis-32158	6	97	points	point	NOUN
fcis-32158	6	98	over	over	ADP
fcis-32158	6	99	the	the	DET
fcis-32158	6	100	baseline	baseline	NOUN
fcis-32158	6	101	model	model	NOUN
fcis-32158	6	102	,	,	PUNCT
fcis-32158	6	103	and	and	CCONJ
fcis-32158	6	104	improved	improve	VERB
fcis-32158	6	105	the	the	DET
fcis-32158	6	106	detection	detection	NOUN
fcis-32158	6	107	of	of	ADP
fcis-32158	6	108	burrs	burrs	NOUN
fcis-32158	6	109	and	and	CCONJ
fcis-32158	6	110	slag	slag	NOUN
fcis-32158	6	111	inclusions	inclusion	NOUN
fcis-32158	6	112	by	by	ADP
fcis-32158	6	113	6.3	6.3	NUM
fcis-32158	6	114	%	%	NOUN
fcis-32158	6	115	and	and	CCONJ
fcis-32158	6	116	9.9	9.9	NUM
fcis-32158	6	117	%	%	NOUN
fcis-32158	6	118	in	in	ADP
fcis-32158	6	119	the	the	DET
fcis-32158	6	120	f1	f1	NOUN
fcis-32158	6	121	score	score	NOUN
fcis-32158	6	122	,	,	PUNCT
fcis-32158	6	123	respectively	respectively	ADV
fcis-32158	6	124	.	.	PUNCT
fcis-32158	7	1	experimental	experimental	ADJ
fcis-32158	7	2	results	result	NOUN
fcis-32158	7	3	show	show	VERB
fcis-32158	7	4	that	that	SCONJ
fcis-32158	7	5	this	this	DET
fcis-32158	7	6	method	method	NOUN
fcis-32158	7	7	achieves	achieve	VERB
fcis-32158	7	8	a	a	DET
fcis-32158	7	9	good	good	ADJ
fcis-32158	7	10	balance	balance	NOUN
fcis-32158	7	11	between	between	ADP
fcis-32158	7	12	detection	detection	NOUN
fcis-32158	7	13	accuracy	accuracy	NOUN
fcis-32158	7	14	and	and	CCONJ
fcis-32158	7	15	computational	computational	ADJ
fcis-32158	7	16	efficiency	efficiency	NOUN
fcis-32158	7	17	,	,	PUNCT
fcis-32158	7	18	providing	provide	VERB
fcis-32158	7	19	a	a	DET
fcis-32158	7	20	reliable	reliable	ADJ
fcis-32158	7	21	technical	technical	ADJ
fcis-32158	7	22	solution	solution	NOUN
fcis-32158	7	23	for	for	ADP
fcis-32158	7	24	the	the	DET
fcis-32158	7	25	practical	practical	ADJ
fcis-32158	7	26	application	application	NOUN
fcis-32158	7	27	of	of	ADP
fcis-32158	7	28	intelligent	intelligent	ADJ
fcis-32158	7	29	manufacturing	manufacturing	NOUN
fcis-32158	7	30	quality	quality	NOUN
fcis-32158	7	31	monitoring	monitoring	NOUN
fcis-32158	7	32	systems	system	NOUN
fcis-32158	7	33	for	for	ADP
fcis-32158	7	34	aluminum	aluminum	NOUN
fcis-32158	7	35	ingots	ingot	NOUN
fcis-32158	7	36	.	.	PUNCT
fcis-32158	8	1	keywords	keyword	NOUN
fcis-32158	8	2	:	:	PUNCT
fcis-32158	8	3	surface	surface	NOUN
fcis-32158	8	4	defects	defect	NOUN
fcis-32158	8	5	of	of	ADP
fcis-32158	8	6	aluminum	aluminum	NOUN
fcis-32158	8	7	ingots	ingot	NOUN
fcis-32158	8	8	;	;	PUNCT
fcis-32158	8	9	yolov8n	yolov8n	NOUN
fcis-32158	8	10	;	;	PUNCT
fcis-32158	8	11	simam	simam	ADJ
fcis-32158	8	12	attention	attention	NOUN
fcis-32158	8	13	;	;	PUNCT
fcis-32158	8	14	small	small	ADJ
fcis-32158	8	15	target	target	NOUN
fcis-32158	8	16	detection	detection	NOUN
fcis-32158	8	17	.	.	PUNCT
fcis-32158	9	1	1	1	X
fcis-32158	9	2	.	.	X
fcis-32158	9	3	introduction	introduction	NOUN
fcis-32158	9	4	as	as	ADP
fcis-32158	9	5	a	a	DET
fcis-32158	9	6	key	key	ADJ
fcis-32158	9	7	basic	basic	ADJ
fcis-32158	9	8	raw	raw	ADJ
fcis-32158	9	9	material	material	NOUN
fcis-32158	9	10	for	for	ADP
fcis-32158	9	11	modern	modern	ADJ
fcis-32158	9	12	industry	industry	NOUN
fcis-32158	9	13	,	,	PUNCT
fcis-32158	9	14	the	the	DET
fcis-32158	9	15	quality	quality	NOUN
fcis-32158	9	16	and	and	CCONJ
fcis-32158	9	17	stability	stability	NOUN
fcis-32158	9	18	of	of	ADP
fcis-32158	9	19	aluminum	aluminum	NOUN
fcis-32158	9	20	alloy	alloy	NOUN
fcis-32158	9	21	ingots	ingot	NOUN
fcis-32158	9	22	directly	directly	ADV
fcis-32158	9	23	impacts	impact	VERB
fcis-32158	9	24	the	the	DET
fcis-32158	9	25	performance	performance	NOUN
fcis-32158	9	26	of	of	ADP
fcis-32158	9	27	core	core	ADJ
fcis-32158	9	28	components	component	NOUN
fcis-32158	9	29	in	in	ADP
fcis-32158	9	30	high	high	ADJ
fcis-32158	9	31	-	-	PUNCT
fcis-32158	9	32	end	end	NOUN
fcis-32158	9	33	equipment	equipment	NOUN
fcis-32158	9	34	such	such	ADJ
fcis-32158	9	35	as	as	ADP
fcis-32158	9	36	aircraft	aircraft	NOUN
fcis-32158	9	37	and	and	CCONJ
fcis-32158	9	38	electric	electric	ADJ
fcis-32158	9	39	vehicles	vehicle	NOUN
fcis-32158	9	40	.	.	PUNCT
fcis-32158	10	1	amid	amid	ADP
fcis-32158	10	2	the	the	DET
fcis-32158	10	3	rapid	rapid	ADJ
fcis-32158	10	4	development	development	NOUN
fcis-32158	10	5	of	of	ADP
fcis-32158	10	6	intelligent	intelligent	ADJ
fcis-32158	10	7	manufacturing	manufacturing	NOUN
fcis-32158	10	8	technology	technology	NOUN
fcis-32158	10	9	,	,	PUNCT
fcis-32158	10	10	the	the	DET
fcis-32158	10	11	operating	operate	VERB
fcis-32158	10	12	speed	speed	NOUN
fcis-32158	10	13	of	of	ADP
fcis-32158	10	14	continuous	continuous	ADJ
fcis-32158	10	15	casting	casting	NOUN
fcis-32158	10	16	production	production	NOUN
fcis-32158	10	17	lines	line	NOUN
fcis-32158	10	18	for	for	ADP
fcis-32158	10	19	aluminum	aluminum	NOUN
fcis-32158	10	20	ingots	ingot	NOUN
fcis-32158	10	21	has	have	AUX
fcis-32158	10	22	now	now	ADV
fcis-32158	10	23	reached	reach	VERB
fcis-32158	10	24	over	over	ADP
fcis-32158	10	25	100	100	NUM
fcis-32158	10	26	meters	meter	NOUN
fcis-32158	10	27	per	per	ADP
fcis-32158	10	28	minute	minute	NOUN
fcis-32158	10	29	.	.	PUNCT
fcis-32158	11	1	however	however	ADV
fcis-32158	11	2	,	,	PUNCT
fcis-32158	11	3	the	the	DET
fcis-32158	11	4	high	high	ADJ
fcis-32158	11	5	-	-	PUNCT
fcis-32158	11	6	speed	speed	NOUN
fcis-32158	11	7	production	production	NOUN
fcis-32158	11	8	environment	environment	NOUN
fcis-32158	11	9	and	and	CCONJ
fcis-32158	11	10	complex	complex	ADJ
fcis-32158	11	11	process	process	NOUN
fcis-32158	11	12	conditions	condition	NOUN
fcis-32158	11	13	have	have	AUX
fcis-32158	11	14	led	lead	VERB
fcis-32158	11	15	to	to	ADP
fcis-32158	11	16	a	a	DET
fcis-32158	11	17	significant	significant	ADJ
fcis-32158	11	18	increase	increase	NOUN
fcis-32158	11	19	in	in	ADP
fcis-32158	11	20	the	the	DET
fcis-32158	11	21	incidence	incidence	NOUN
fcis-32158	11	22	of	of	ADP
fcis-32158	11	23	surface	surface	NOUN
fcis-32158	11	24	defects	defect	NOUN
fcis-32158	11	25	such	such	ADJ
fcis-32158	11	26	as	as	ADP
fcis-32158	11	27	burrs	burrs	NOUN
fcis-32158	11	28	on	on	ADP
fcis-32158	11	29	the	the	DET
fcis-32158	11	30	edges	edge	NOUN
fcis-32158	11	31	of	of	ADP
fcis-32158	11	32	ingots	ingot	NOUN
fcis-32158	11	33	and	and	CCONJ
fcis-32158	11	34	oxide	oxide	NOUN
fcis-32158	11	35	inclusions	inclusion	NOUN
fcis-32158	11	36	.	.	PUNCT
fcis-32158	12	1	these	these	DET
fcis-32158	12	2	process	process	NOUN
fcis-32158	12	3	defects	defect	NOUN
fcis-32158	12	4	not	not	PART
fcis-32158	12	5	only	only	ADV
fcis-32158	12	6	result	result	VERB
fcis-32158	12	7	in	in	ADP
fcis-32158	12	8	a	a	DET
fcis-32158	12	9	decrease	decrease	NOUN
fcis-32158	12	10	in	in	ADP
fcis-32158	12	11	product	product	NOUN
fcis-32158	12	12	qualification	qualification	NOUN
fcis-32158	12	13	rates	rate	NOUN
fcis-32158	12	14	,	,	PUNCT
fcis-32158	12	15	but	but	CCONJ
fcis-32158	12	16	are	be	AUX
fcis-32158	12	17	also	also	ADV
fcis-32158	12	18	likely	likely	ADJ
fcis-32158	12	19	to	to	PART
fcis-32158	12	20	cause	cause	VERB
fcis-32158	12	21	secondary	secondary	ADJ
fcis-32158	12	22	damage	damage	NOUN
fcis-32158	12	23	during	during	ADP
fcis-32158	12	24	subsequent	subsequent	ADJ
fcis-32158	12	25	deep	deep	ADJ
fcis-32158	12	26	processing	processing	NOUN
fcis-32158	12	27	.	.	PUNCT
fcis-32158	13	1	therefore	therefore	ADV
fcis-32158	13	2	,	,	PUNCT
fcis-32158	13	3	establishing	establish	VERB
fcis-32158	13	4	an	an	DET
fcis-32158	13	5	efficient	efficient	ADJ
fcis-32158	13	6	aluminum	aluminum	NOUN
fcis-32158	13	7	ingot	ingot	NOUN
fcis-32158	13	8	surface	surface	NOUN
fcis-32158	13	9	quality	quality	NOUN
fcis-32158	13	10	inspection	inspection	NOUN
fcis-32158	13	11	system	system	NOUN
fcis-32158	13	12	is	be	AUX
fcis-32158	13	13	of	of	ADP
fcis-32158	13	14	great	great	ADJ
fcis-32158	13	15	significance	significance	NOUN
fcis-32158	13	16	for	for	ADP
fcis-32158	13	17	ensuring	ensure	VERB
fcis-32158	13	18	quality	quality	NOUN
fcis-32158	13	19	control	control	NOUN
fcis-32158	13	20	in	in	ADP
fcis-32158	13	21	the	the	DET
fcis-32158	13	22	industrial	industrial	ADJ
fcis-32158	13	23	chain	chain	NOUN
fcis-32158	13	24	.	.	PUNCT
fcis-32158	14	1	existing	exist	VERB
fcis-32158	14	2	research	research	NOUN
fcis-32158	14	3	on	on	ADP
fcis-32158	14	4	aluminum	aluminum	NOUN
fcis-32158	14	5	alloy	alloy	NOUN
fcis-32158	14	6	defect	defect	NOUN
fcis-32158	14	7	detection	detection	NOUN
fcis-32158	14	8	primarily	primarily	ADV
fcis-32158	14	9	focuses	focus	VERB
fcis-32158	14	10	on	on	ADP
fcis-32158	14	11	two	two	NUM
fcis-32158	14	12	scenarios	scenario	NOUN
fcis-32158	14	13	:	:	PUNCT
fcis-32158	14	14	geometric	geometric	ADJ
fcis-32158	14	15	dimension	dimension	NOUN
fcis-32158	14	16	inspection	inspection	NOUN
fcis-32158	14	17	of	of	ADP
fcis-32158	14	18	finished	finished	ADJ
fcis-32158	14	19	workpieces[1	workpieces[1	NOUN
fcis-32158	14	20	]	]	PUNCT
fcis-32158	14	21	,	,	PUNCT
fcis-32158	14	22	and	and	CCONJ
fcis-32158	14	23	composition	composition	NOUN
fcis-32158	14	24	analysis	analysis	NOUN
fcis-32158	14	25	of	of	ADP
fcis-32158	14	26	alloy	alloy	NOUN
fcis-32158	14	27	materials[3	materials[3	NOUN
fcis-32158	14	28	]	]	PUNCT
fcis-32158	14	29	.	.	PUNCT
fcis-32158	15	1	however	however	ADV
fcis-32158	15	2	,	,	PUNCT
fcis-32158	15	3	at	at	ADP
fcis-32158	15	4	the	the	DET
fcis-32158	15	5	initial	initial	ADJ
fcis-32158	15	6	stage	stage	NOUN
fcis-32158	15	7	of	of	ADP
fcis-32158	15	8	the	the	DET
fcis-32158	15	9	casting	casting	NOUN
fcis-32158	15	10	process	process	NOUN
fcis-32158	15	11	,	,	PUNCT
fcis-32158	15	12	the	the	DET
fcis-32158	15	13	detection	detection	NOUN
fcis-32158	15	14	of	of	ADP
fcis-32158	15	15	surface	surface	NOUN
fcis-32158	15	16	defects	defect	NOUN
fcis-32158	15	17	in	in	ADP
fcis-32158	15	18	aluminum	aluminum	NOUN
fcis-32158	15	19	ingots	ingot	NOUN
fcis-32158	15	20	still	still	ADV
fcis-32158	15	21	faces	face	VERB
fcis-32158	15	22	the	the	DET
fcis-32158	15	23	dual	dual	ADJ
fcis-32158	15	24	challenges	challenge	NOUN
fcis-32158	15	25	of	of	ADP
fcis-32158	15	26	basic	basic	ADJ
fcis-32158	15	27	theory	theory	NOUN
fcis-32158	15	28	and	and	CCONJ
fcis-32158	15	29	technical	technical	ADJ
fcis-32158	15	30	application	application	NOUN
fcis-32158	15	31	.	.	PUNCT
fcis-32158	16	1	current	current	ADJ
fcis-32158	16	2	detection	detection	NOUN
fcis-32158	16	3	technologies	technology	NOUN
fcis-32158	16	4	face	face	VERB
fcis-32158	16	5	the	the	DET
fcis-32158	16	6	following	follow	VERB
fcis-32158	16	7	core	core	NOUN
fcis-32158	16	8	challenges	challenge	NOUN
fcis-32158	16	9	:	:	PUNCT
fcis-32158	16	10	first	first	ADV
fcis-32158	16	11	,	,	PUNCT
fcis-32158	16	12	surface	surface	NOUN
fcis-32158	16	13	defects	defect	NOUN
fcis-32158	16	14	in	in	ADP
fcis-32158	16	15	aluminum	aluminum	NOUN
fcis-32158	16	16	ingots	ingot	NOUN
fcis-32158	16	17	appear	appear	VERB
fcis-32158	16	18	as	as	ADP
fcis-32158	16	19	distinct	distinct	ADJ
fcis-32158	16	20	,	,	PUNCT
fcis-32158	16	21	tiny	tiny	ADJ
fcis-32158	16	22	target	target	NOUN
fcis-32158	16	23	features	feature	NOUN
fcis-32158	16	24	in	in	ADP
fcis-32158	16	25	industrial	industrial	ADJ
fcis-32158	16	26	camera	camera	NOUN
fcis-32158	16	27	imaging	imaging	NOUN
fcis-32158	16	28	(	(	PUNCT
fcis-32158	16	29	the	the	DET
fcis-32158	16	30	pixel	pixel	PROPN
fcis-32158	16	31	ratio	ratio	NOUN
fcis-32158	16	32	of	of	ADP
fcis-32158	16	33	the	the	DET
fcis-32158	16	34	defect	defect	NOUN
fcis-32158	16	35	area	area	NOUN
fcis-32158	16	36	is	be	AUX
fcis-32158	16	37	typically	typically	ADV
fcis-32158	16	38	less	less	ADJ
fcis-32158	16	39	than	than	ADP
fcis-32158	16	40	5	5	NUM
fcis-32158	16	41	%	%	NOUN
fcis-32158	16	42	)	)	PUNCT
fcis-32158	16	43	,	,	PUNCT
fcis-32158	16	44	and	and	CCONJ
fcis-32158	16	45	they	they	PRON
fcis-32158	16	46	often	often	ADV
fcis-32158	16	47	appear	appear	VERB
fcis-32158	16	48	densely	densely	ADV
fcis-32158	16	49	clustered	cluster	VERB
fcis-32158	16	50	.	.	PUNCT
fcis-32158	17	1	second	second	ADJ
fcis-32158	17	2	,	,	PUNCT
fcis-32158	17	3	defect	defect	ADJ
fcis-32158	17	4	morphology	morphology	NOUN
fcis-32158	17	5	is	be	AUX
fcis-32158	17	6	highly	highly	ADV
fcis-32158	17	7	diverse	diverse	ADJ
fcis-32158	17	8	,	,	PUNCT
fcis-32158	17	9	with	with	ADP
fcis-32158	17	10	significant	significant	ADJ
fcis-32158	17	11	visual	visual	ADJ
fcis-32158	17	12	differences	difference	NOUN
fcis-32158	17	13	between	between	ADP
fcis-32158	17	14	different	different	ADJ
fcis-32158	17	15	types	type	NOUN
fcis-32158	17	16	of	of	ADP
fcis-32158	17	17	defects	defect	NOUN
fcis-32158	17	18	,	,	PUNCT
fcis-32158	17	19	and	and	CCONJ
fcis-32158	17	20	even	even	ADV
fcis-32158	17	21	within	within	ADP
fcis-32158	17	22	the	the	DET
fcis-32158	17	23	same	same	ADJ
fcis-32158	17	24	defect	defect	NOUN
fcis-32158	17	25	,	,	PUNCT
fcis-32158	17	26	there	there	PRON
fcis-32158	17	27	is	be	VERB
fcis-32158	17	28	significant	significant	ADJ
fcis-32158	17	29	variation	variation	NOUN
fcis-32158	17	30	in	in	ADP
fcis-32158	17	31	shape	shape	NOUN
fcis-32158	17	32	,	,	PUNCT
fcis-32158	17	33	texture	texture	NOUN
fcis-32158	17	34	,	,	PUNCT
fcis-32158	17	35	and	and	CCONJ
fcis-32158	17	36	spatial	spatial	ADJ
fcis-32158	17	37	distribution	distribution	NOUN
fcis-32158	17	38	.	.	PUNCT
fcis-32158	18	1	to	to	PART
fcis-32158	18	2	address	address	VERB
fcis-32158	18	3	the	the	DET
fcis-32158	18	4	above	above	ADJ
fcis-32158	18	5	problems	problem	NOUN
fcis-32158	18	6	,	,	PUNCT
fcis-32158	18	7	this	this	DET
fcis-32158	18	8	study	study	NOUN
fcis-32158	18	9	developed	develop	VERB
fcis-32158	18	10	an	an	DET
fcis-32158	18	11	intelligent	intelligent	ADJ
fcis-32158	18	12	detection	detection	NOUN
fcis-32158	18	13	solution	solution	NOUN
fcis-32158	18	14	for	for	ADP
fcis-32158	18	15	aluminum	aluminum	NOUN
fcis-32158	18	16	ingot	ingot	NOUN
fcis-32158	18	17	surface	surface	NOUN
fcis-32158	18	18	defects	defect	NOUN
fcis-32158	18	19	based	base	VERB
fcis-32158	18	20	on	on	ADP
fcis-32158	18	21	an	an	DET
fcis-32158	18	22	improved	improved	ADJ
fcis-32158	18	23	yolov8n	yolov8n	NOUN
fcis-32158	18	24	architecture	architecture	NOUN
fcis-32158	18	25	.	.	PUNCT
fcis-32158	19	1	by	by	ADP
fcis-32158	19	2	introducing	introduce	VERB
fcis-32158	19	3	the	the	DET
fcis-32158	19	4	parameter	parameter	NOUN
fcis-32158	19	5	-	-	PUNCT
fcis-32158	19	6	free	free	ADJ
fcis-32158	19	7	simam	simam	ADJ
fcis-32158	19	8	attention	attention	NOUN
fcis-32158	19	9	mechanism	mechanism	NOUN
fcis-32158	19	10	,	,	PUNCT
fcis-32158	19	11	the	the	DET
fcis-32158	19	12	model	model	NOUN
fcis-32158	19	13	's	's	PART
fcis-32158	19	14	ability	ability	NOUN
fcis-32158	19	15	to	to	PART
fcis-32158	19	16	recognize	recognize	VERB
fcis-32158	19	17	tiny	tiny	ADJ
fcis-32158	19	18	multi	multi	ADJ
fcis-32158	19	19	-	-	ADJ
fcis-32158	19	20	morphological	morphological	ADJ
fcis-32158	19	21	defects	defect	NOUN
fcis-32158	19	22	was	be	AUX
fcis-32158	19	23	effectively	effectively	ADV
fcis-32158	19	24	improved	improve	VERB
fcis-32158	19	25	.	.	PUNCT
fcis-32158	20	1	the	the	DET
fcis-32158	20	2	innovative	innovative	ADJ
fcis-32158	20	3	work	work	NOUN
fcis-32158	20	4	of	of	ADP
fcis-32158	20	5	this	this	DET
fcis-32158	20	6	study	study	NOUN
fcis-32158	20	7	is	be	AUX
fcis-32158	20	8	mainly	mainly	ADV
fcis-32158	20	9	reflected	reflect	VERB
fcis-32158	20	10	in	in	ADP
fcis-32158	20	11	the	the	DET
fcis-32158	20	12	following	follow	VERB
fcis-32158	20	13	aspects	aspect	NOUN
fcis-32158	20	14	:	:	PUNCT
fcis-32158	20	15	in	in	ADP
fcis-32158	20	16	response	response	NOUN
fcis-32158	20	17	to	to	ADP
fcis-32158	20	18	the	the	DET
fcis-32158	20	19	scarcity	scarcity	NOUN
fcis-32158	20	20	of	of	ADP
fcis-32158	20	21	aluminum	aluminum	NOUN
fcis-32158	20	22	ingot	ingot	NOUN
fcis-32158	20	23	defect	defect	NOUN
fcis-32158	20	24	data	datum	NOUN
fcis-32158	20	25	,	,	PUNCT
fcis-32158	20	26	a	a	DET
fcis-32158	20	27	highdefinition	highdefinition	NOUN
fcis-32158	20	28	image	image	NOUN
fcis-32158	20	29	dataset	dataset	NOUN
fcis-32158	20	30	based	base	VERB
fcis-32158	20	31	on	on	ADP
fcis-32158	20	32	actual	actual	ADJ
fcis-32158	20	33	production	production	NOUN
fcis-32158	20	34	lines	line	NOUN
fcis-32158	20	35	was	be	AUX
fcis-32158	20	36	constructed	construct	VERB
fcis-32158	20	37	,	,	PUNCT
fcis-32158	20	38	and	and	CCONJ
fcis-32158	20	39	the	the	DET
fcis-32158	20	40	scale	scale	NOUN
fcis-32158	20	41	distribution	distribution	NOUN
fcis-32158	20	42	characteristics	characteristic	NOUN
fcis-32158	20	43	of	of	ADP
fcis-32158	20	44	defects	defect	NOUN
fcis-32158	20	45	were	be	AUX
fcis-32158	20	46	systematically	systematically	ADV
fcis-32158	20	47	analyzed	analyze	VERB
fcis-32158	20	48	;	;	PUNCT
fcis-32158	20	49	a	a	DET
fcis-32158	20	50	three	three	NUM
fcis-32158	20	51	-	-	PUNCT
fcis-32158	20	52	dimensional	dimensional	ADJ
fcis-32158	20	53	attention	attention	NOUN
fcis-32158	20	54	mechanism	mechanism	NOUN
fcis-32158	20	55	was	be	AUX
fcis-32158	20	56	integrated	integrate	VERB
fcis-32158	20	57	into	into	ADP
fcis-32158	20	58	the	the	DET
fcis-32158	20	59	network	network	NOUN
fcis-32158	20	60	backbone	backbone	NOUN
fcis-32158	20	61	layer	layer	NOUN
fcis-32158	20	62	to	to	PART
fcis-32158	20	63	enhance	enhance	VERB
fcis-32158	20	64	the	the	DET
fcis-32158	20	65	feature	feature	NOUN
fcis-32158	20	66	extraction	extraction	NOUN
fcis-32158	20	67	capability	capability	NOUN
fcis-32158	20	68	of	of	ADP
fcis-32158	20	69	tiny	tiny	ADJ
fcis-32158	20	70	targets	target	NOUN
fcis-32158	20	71	and	and	CCONJ
fcis-32158	20	72	successfully	successfully	ADV
fcis-32158	20	73	solve	solve	VERB
fcis-32158	20	74	the	the	DET
fcis-32158	20	75	morphological	morphological	ADJ
fcis-32158	20	76	diversity	diversity	NOUN
fcis-32158	20	77	problem	problem	NOUN
fcis-32158	20	78	of	of	ADP
fcis-32158	20	79	burrs	burrs	NOUN
fcis-32158	20	80	and	and	CCONJ
fcis-32158	20	81	slag	slag	NOUN
fcis-32158	20	82	inclusions	inclusion	NOUN
fcis-32158	20	83	;	;	PUNCT
fcis-32158	20	84	through	through	ADP
fcis-32158	20	85	systematic	systematic	ADJ
fcis-32158	20	86	comparative	comparative	ADJ
fcis-32158	20	87	experiments	experiment	NOUN
fcis-32158	20	88	,	,	PUNCT
fcis-32158	20	89	it	it	PRON
fcis-32158	20	90	was	be	AUX
fcis-32158	20	91	proved	prove	VERB
fcis-32158	20	92	that	that	SCONJ
fcis-32158	20	93	the	the	DET
fcis-32158	20	94	proposed	propose	VERB
fcis-32158	20	95	method	method	NOUN
fcis-32158	20	96	achieved	achieve	VERB
fcis-32158	20	97	a	a	DET
fcis-32158	20	98	good	good	ADJ
fcis-32158	20	99	balance	balance	NOUN
fcis-32158	20	100	between	between	ADP
fcis-32158	20	101	detection	detection	NOUN
fcis-32158	20	102	accuracy	accuracy	NOUN
fcis-32158	20	103	and	and	CCONJ
fcis-32158	20	104	computational	computational	ADJ
fcis-32158	20	105	efficiency	efficiency	NOUN
fcis-32158	20	106	,	,	PUNCT
fcis-32158	20	107	providing	provide	VERB
fcis-32158	20	108	a	a	DET
fcis-32158	20	109	reliable	reliable	ADJ
fcis-32158	20	110	technical	technical	ADJ
fcis-32158	20	111	solution	solution	NOUN
fcis-32158	20	112	for	for	ADP
fcis-32158	20	113	the	the	DET
fcis-32158	20	114	practical	practical	ADJ
fcis-32158	20	115	application	application	NOUN
fcis-32158	20	116	of	of	ADP
fcis-32158	20	117	intelligent	intelligent	ADJ
fcis-32158	20	118	manufacturing	manufacturing	NOUN
fcis-32158	20	119	quality	quality	NOUN
fcis-32158	20	120	monitoring	monitoring	NOUN
fcis-32158	20	121	systems	system	NOUN
fcis-32158	20	122	for	for	ADP
fcis-32158	20	123	aluminum	aluminum	NOUN
fcis-32158	20	124	ingots	ingot	NOUN
fcis-32158	20	125	.	.	PUNCT
fcis-32158	21	1	2	2	X
fcis-32158	21	2	.	.	X
fcis-32158	21	3	related	relate	VERB
fcis-32158	21	4	work	work	NOUN
fcis-32158	21	5	the	the	DET
fcis-32158	21	6	development	development	NOUN
fcis-32158	21	7	of	of	ADP
fcis-32158	21	8	industrial	industrial	ADJ
fcis-32158	21	9	surface	surface	NOUN
fcis-32158	21	10	defect	defect	NOUN
fcis-32158	21	11	inspection	inspection	NOUN
fcis-32158	21	12	technology	technology	NOUN
fcis-32158	21	13	has	have	AUX
fcis-32158	21	14	consistently	consistently	ADV
fcis-32158	21	15	kept	keep	VERB
fcis-32158	21	16	pace	pace	NOUN
fcis-32158	21	17	with	with	ADP
fcis-32158	21	18	the	the	DET
fcis-32158	21	19	evolution	evolution	NOUN
fcis-32158	21	20	of	of	ADP
fcis-32158	21	21	inspection	inspection	NOUN
fcis-32158	21	22	targets	target	NOUN
fcis-32158	21	23	and	and	CCONJ
fcis-32158	21	24	the	the	DET
fcis-32158	21	25	advancement	advancement	NOUN
fcis-32158	21	26	of	of	ADP
fcis-32158	21	27	automation	automation	NOUN
fcis-32158	21	28	.	.	PUNCT
fcis-32158	22	1	throughout	throughout	ADP
fcis-32158	22	2	the	the	DET
fcis-32158	22	3	historical	historical	ADJ
fcis-32158	22	4	evolution	evolution	NOUN
fcis-32158	22	5	of	of	ADP
fcis-32158	22	6	inspection	inspection	NOUN
fcis-32158	22	7	methods	method	NOUN
fcis-32158	22	8	,	,	PUNCT
fcis-32158	22	9	we	we	PRON
fcis-32158	22	10	observe	observe	VERB
fcis-32158	22	11	three	three	NUM
fcis-32158	22	12	distinct	distinct	ADJ
fcis-32158	22	13	phases	phase	NOUN
fcis-32158	22	14	:	:	PUNCT
fcis-32158	22	15	the	the	DET
fcis-32158	22	16	early	early	ADJ
fcis-32158	22	17	reliance	reliance	NOUN
fcis-32158	22	18	on	on	ADP
fcis-32158	22	19	manual	manual	ADJ
fcis-32158	22	20	visual	visual	ADJ
fcis-32158	22	21	inspection	inspection	NOUN
fcis-32158	22	22	and	and	CCONJ
fcis-32158	22	23	the	the	DET
fcis-32158	22	24	current	current	ADJ
fcis-32158	22	25	intelligent	intelligent	ADJ
fcis-32158	22	26	phase	phase	NOUN
fcis-32158	22	27	based	base	VERB
fcis-32158	22	28	on	on	ADP
fcis-32158	22	29	machine	machine	NOUN
fcis-32158	22	30	vision	vision	NOUN
fcis-32158	22	31	.	.	PUNCT
fcis-32158	23	1	this	this	DET
fcis-32158	23	2	study	study	NOUN
fcis-32158	23	3	will	will	AUX
fcis-32158	23	4	focus	focus	VERB
fcis-32158	23	5	on	on	ADP
fcis-32158	23	6	the	the	DET
fcis-32158	23	7	application	application	NOUN
fcis-32158	23	8	of	of	ADP
fcis-32158	23	9	machine	machine	NOUN
fcis-32158	23	10	vision	vision	NOUN
fcis-32158	23	11	technology	technology	NOUN
fcis-32158	23	12	in	in	ADP
fcis-32158	23	13	surface	surface	NOUN
fcis-32158	23	14	defect	defect	NOUN
fcis-32158	23	15	inspection	inspection	NOUN
fcis-32158	23	16	in	in	ADP
fcis-32158	23	17	complex	complex	ADJ
fcis-32158	23	18	industrial	industrial	ADJ
fcis-32158	23	19	scenarios	scenario	NOUN
fcis-32158	23	20	.	.	PUNCT
fcis-32158	24	1	in	in	ADP
fcis-32158	24	2	recent	recent	ADJ
fcis-32158	24	3	years	year	NOUN
fcis-32158	24	4	,	,	PUNCT
fcis-32158	24	5	deep	deep	ADJ
fcis-32158	24	6	learning[4	learning[4	PROPN
fcis-32158	24	7	]	]	X
fcis-32158	24	8	as	as	ADP
fcis-32158	24	9	an	an	DET
fcis-32158	24	10	efficient	efficient	ADJ
fcis-32158	24	11	machine	machine	NOUN
fcis-32158	24	12	learning	learning	NOUN
fcis-32158	24	13	method	method	NOUN
fcis-32158	24	14	,	,	PUNCT
fcis-32158	24	15	has	have	AUX
fcis-32158	24	16	achieved	achieve	VERB
fcis-32158	24	17	remarkable	remarkable	ADJ
fcis-32158	24	18	results	result	NOUN
fcis-32158	24	19	in	in	ADP
fcis-32158	24	20	target	target	NOUN
fcis-32158	24	21	detection	detection	NOUN
fcis-32158	24	22	tasks	task	NOUN
fcis-32158	24	23	.	.	PUNCT
fcis-32158	25	1	ma	ma	PROPN
fcis-32158	25	2	et	et	PROPN
fcis-32158	25	3	al.[5	al.[5	PROPN
fcis-32158	25	4	]	]	PUNCT
fcis-32158	25	5	proposed	propose	VERB
fcis-32158	25	6	a	a	DET
fcis-32158	25	7	lightweight	lightweight	ADJ
fcis-32158	25	8	aluminum	aluminum	NOUN
fcis-32158	25	9	55	55	NUM
fcis-32158	25	10	strip	strip	NOUN
fcis-32158	25	11	surface	surface	NOUN
fcis-32158	25	12	defect	defect	NOUN
fcis-32158	25	13	detection	detection	NOUN
fcis-32158	25	14	method	method	VERB
fcis-32158	25	15	yolo	yolo	PROPN
fcis-32158	25	16	-	-	PUNCT
fcis-32158	25	17	dcsam	dcsam	NOUN
fcis-32158	25	18	based	base	VERB
fcis-32158	25	19	on	on	ADP
fcis-32158	25	20	the	the	DET
fcis-32158	25	21	improved	improved	ADJ
fcis-32158	25	22	yolov4	yolov4	PROPN
fcis-32158	25	23	.	.	PUNCT
fcis-32158	26	1	by	by	ADP
fcis-32158	26	2	optimizing	optimize	VERB
fcis-32158	26	3	the	the	DET
fcis-32158	26	4	network	network	NOUN
fcis-32158	26	5	structure	structure	NOUN
fcis-32158	26	6	through	through	ADP
fcis-32158	26	7	deep	deep	ADJ
fcis-32158	26	8	separable	separable	ADJ
fcis-32158	26	9	convolution	convolution	NOUN
fcis-32158	26	10	and	and	CCONJ
fcis-32158	26	11	dualchannel	dualchannel	NOUN
fcis-32158	26	12	attention	attention	NOUN
fcis-32158	26	13	modules	module	NOUN
fcis-32158	26	14	,	,	PUNCT
fcis-32158	26	15	the	the	DET
fcis-32158	26	16	detection	detection	NOUN
fcis-32158	26	17	speed	speed	NOUN
fcis-32158	26	18	was	be	AUX
fcis-32158	26	19	increased	increase	VERB
fcis-32158	26	20	by	by	ADP
fcis-32158	26	21	3	3	NUM
fcis-32158	26	22	times	time	NOUN
fcis-32158	26	23	while	while	SCONJ
fcis-32158	26	24	maintaining	maintain	VERB
fcis-32158	26	25	high	high	ADJ
fcis-32158	26	26	detection	detection	NOUN
fcis-32158	26	27	accuracy	accuracy	NOUN
fcis-32158	26	28	,	,	PUNCT
fcis-32158	26	29	significantly	significantly	ADV
fcis-32158	26	30	improving	improve	VERB
fcis-32158	26	31	the	the	DET
fcis-32158	26	32	applicability	applicability	NOUN
fcis-32158	26	33	of	of	ADP
fcis-32158	26	34	real	real	ADJ
fcis-32158	26	35	-	-	PUNCT
fcis-32158	26	36	time	time	NOUN
fcis-32158	26	37	detection	detection	NOUN
fcis-32158	26	38	in	in	ADP
fcis-32158	26	39	industrial	industrial	ADJ
fcis-32158	26	40	sites	site	NOUN
fcis-32158	26	41	.	.	PUNCT
fcis-32158	27	1	zhu	zhu	PROPN
fcis-32158	27	2	et	et	PROPN
fcis-32158	27	3	al.[6	al.[6	PROPN
fcis-32158	27	4	]	]	PUNCT
fcis-32158	27	5	proposed	propose	VERB
fcis-32158	27	6	an	an	DET
fcis-32158	27	7	improved	improved	ADJ
fcis-32158	27	8	yolov5s	yolov5s	PROPN
fcis-32158	27	9	algorithm	algorithm	NOUN
fcis-32158	27	10	,	,	PUNCT
fcis-32158	27	11	which	which	PRON
fcis-32158	27	12	optimized	optimize	VERB
fcis-32158	27	13	the	the	DET
fcis-32158	27	14	samescale	samescale	NOUN
fcis-32158	27	15	feature	feature	NOUN
fcis-32158	27	16	fusion	fusion	NOUN
fcis-32158	27	17	capability	capability	NOUN
fcis-32158	27	18	by	by	ADP
fcis-32158	27	19	introducing	introduce	VERB
fcis-32158	27	20	crossconvolution	crossconvolution	NOUN
fcis-32158	27	21	feature	feature	NOUN
fcis-32158	27	22	enhanced	enhance	VERB
fcis-32158	27	23	connection	connection	NOUN
fcis-32158	27	24	,	,	PUNCT
fcis-32158	27	25	enhanced	enhance	VERB
fcis-32158	27	26	feature	feature	NOUN
fcis-32158	27	27	concat	concat	NOUN
fcis-32158	27	28	module	module	NOUN
fcis-32158	27	29	and	and	CCONJ
fcis-32158	27	30	channel	channel	NOUN
fcis-32158	27	31	attention	attention	NOUN
fcis-32158	27	32	mechanism	mechanism	NOUN
fcis-32158	27	33	,	,	PUNCT
fcis-32158	27	34	and	and	CCONJ
fcis-32158	27	35	achieved	achieve	VERB
fcis-32158	27	36	a	a	DET
fcis-32158	27	37	3.8	3.8	NUM
fcis-32158	27	38	%	%	NOUN
fcis-32158	27	39	improvement	improvement	NOUN
fcis-32158	27	40	in	in	ADP
fcis-32158	27	41	the	the	DET
fcis-32158	27	42	accuracy	accuracy	NOUN
fcis-32158	27	43	of	of	ADP
fcis-32158	27	44	infrared	infrared	ADJ
fcis-32158	27	45	laser	laser	NOUN
fcis-32158	27	46	sensor	sensor	NOUN
fcis-32158	27	47	in	in	ADP
fcis-32158	27	48	the	the	DET
fcis-32158	27	49	detection	detection	NOUN
fcis-32158	27	50	of	of	ADP
fcis-32158	27	51	small	small	ADJ
fcis-32158	27	52	defects	defect	NOUN
fcis-32158	27	53	on	on	ADP
fcis-32158	27	54	metal	metal	NOUN
fcis-32158	27	55	-	-	PUNCT
fcis-32158	27	56	based	base	VERB
fcis-32158	27	57	surfaces	surface	NOUN
fcis-32158	27	58	.	.	PUNCT
fcis-32158	28	1	zhang	zhang	PROPN
fcis-32158	28	2	et	et	PROPN
fcis-32158	28	3	al.[7	al.[7	PROPN
fcis-32158	28	4	]	]	PUNCT
fcis-32158	28	5	proposed	propose	VERB
fcis-32158	28	6	a	a	DET
fcis-32158	28	7	wind	wind	NOUN
fcis-32158	28	8	blade	blade	NOUN
fcis-32158	28	9	defect	defect	NOUN
fcis-32158	28	10	detection	detection	NOUN
fcis-32158	28	11	model	model	NOUN
fcis-32158	28	12	sod	sod	PROPN
fcis-32158	28	13	-	-	PUNCT
fcis-32158	28	14	yolo	yolo	NOUN
fcis-32158	28	15	based	base	VERB
fcis-32158	28	16	on	on	ADP
fcis-32158	28	17	an	an	DET
fcis-32158	28	18	improved	improved	ADJ
fcis-32158	28	19	yolov5	yolov5	NOUN
fcis-32158	28	20	.	.	PUNCT
fcis-32158	29	1	by	by	ADP
fcis-32158	29	2	adding	add	VERB
fcis-32158	29	3	a	a	DET
fcis-32158	29	4	microscale	microscale	ADJ
fcis-32158	29	5	detection	detection	NOUN
fcis-32158	29	6	layer	layer	NOUN
fcis-32158	29	7	,	,	PUNCT
fcis-32158	29	8	optimizing	optimize	VERB
fcis-32158	29	9	anchor	anchor	NOUN
fcis-32158	29	10	box	box	NOUN
fcis-32158	29	11	clustering	clustering	NOUN
fcis-32158	29	12	,	,	PUNCT
fcis-32158	29	13	introducing	introduce	VERB
fcis-32158	29	14	the	the	DET
fcis-32158	29	15	cbam	cbam	NOUN
fcis-32158	29	16	attention	attention	NOUN
fcis-32158	29	17	mechanism	mechanism	NOUN
fcis-32158	29	18	and	and	CCONJ
fcis-32158	29	19	channel	channel	NOUN
fcis-32158	29	20	pruning	pruning	NOUN
fcis-32158	29	21	,	,	PUNCT
fcis-32158	29	22	they	they	PRON
fcis-32158	29	23	achieved	achieve	VERB
fcis-32158	29	24	a	a	DET
fcis-32158	29	25	95.1	95.1	NUM
fcis-32158	29	26	%	%	NOUN
fcis-32158	29	27	map	map	NOUN
fcis-32158	29	28	(	(	PUNCT
fcis-32158	29	29	a	a	DET
fcis-32158	29	30	7.82	7.82	NUM
fcis-32158	29	31	%	%	NOUN
fcis-32158	29	32	increase	increase	NOUN
fcis-32158	29	33	over	over	ADP
fcis-32158	29	34	the	the	DET
fcis-32158	29	35	original	original	ADJ
fcis-32158	29	36	model	model	NOUN
fcis-32158	29	37	)	)	PUNCT
fcis-32158	29	38	and	and	CCONJ
fcis-32158	29	39	a	a	DET
fcis-32158	29	40	28.3	28.3	NUM
fcis-32158	29	41	%	%	NOUN
fcis-32158	29	42	fps	fps	NOUN
fcis-32158	29	43	improvement	improvement	NOUN
fcis-32158	29	44	in	in	ADP
fcis-32158	29	45	drone	drone	NOUN
fcis-32158	29	46	image	image	NOUN
fcis-32158	29	47	analysis	analysis	NOUN
fcis-32158	29	48	.	.	PUNCT
fcis-32158	30	1	the	the	DET
fcis-32158	30	2	kpe	kpe	PROPN
fcis-32158	30	3	-	-	PUNCT
fcis-32158	30	4	yolov5	yolov5	NOUN
fcis-32158	30	5	algorithm	algorithm	NOUN
fcis-32158	30	6	proposed	propose	VERB
fcis-32158	30	7	by	by	ADP
fcis-32158	30	8	yang	yang	PROPN
fcis-32158	30	9	et	et	PROPN
fcis-32158	30	10	al[8	al[8	PROPN
fcis-32158	30	11	]	]	PUNCT
fcis-32158	30	12	.	.	PUNCT
fcis-32158	30	13	achieved	achieve	VERB
fcis-32158	30	14	a	a	DET
fcis-32158	30	15	5.3	5.3	NUM
fcis-32158	30	16	%	%	NOUN
fcis-32158	30	17	map	map	NOUN
fcis-32158	30	18	improvement	improvement	NOUN
fcis-32158	30	19	and	and	CCONJ
fcis-32158	30	20	a	a	DET
fcis-32158	30	21	7	7	NUM
fcis-32158	30	22	%	%	NOUN
fcis-32158	30	23	accuracy	accuracy	NOUN
fcis-32158	30	24	improvement	improvement	NOUN
fcis-32158	30	25	on	on	ADP
fcis-32158	30	26	the	the	DET
fcis-32158	30	27	visdrone-2020	visdrone-2020	NOUN
fcis-32158	30	28	dataset	dataset	VERB
fcis-32158	30	29	through	through	ADP
fcis-32158	30	30	three	three	NUM
fcis-32158	30	31	improvements	improvement	NOUN
fcis-32158	30	32	:	:	PUNCT
fcis-32158	30	33	kmeans++	kmeans++	PROPN
fcis-32158	30	34	optimization	optimization	NOUN
fcis-32158	30	35	of	of	ADP
fcis-32158	30	36	anchor	anchor	NOUN
fcis-32158	30	37	boxes	box	NOUN
fcis-32158	30	38	,	,	PUNCT
fcis-32158	30	39	integration	integration	NOUN
fcis-32158	30	40	of	of	ADP
fcis-32158	30	41	scse	scse	NOUN
fcis-32158	30	42	attention	attention	NOUN
fcis-32158	30	43	modules	module	NOUN
fcis-32158	30	44	,	,	PUNCT
fcis-32158	30	45	and	and	CCONJ
fcis-32158	30	46	addition	addition	NOUN
fcis-32158	30	47	of	of	ADP
fcis-32158	30	48	small	small	ADJ
fcis-32158	30	49	target	target	NOUN
fcis-32158	30	50	detection	detection	NOUN
fcis-32158	30	51	layers	layer	NOUN
fcis-32158	30	52	,	,	PUNCT
fcis-32158	30	53	significantly	significantly	ADV
fcis-32158	30	54	enhancing	enhance	VERB
fcis-32158	30	55	the	the	DET
fcis-32158	30	56	small	small	ADJ
fcis-32158	30	57	target	target	NOUN
fcis-32158	30	58	detection	detection	NOUN
fcis-32158	30	59	capability	capability	NOUN
fcis-32158	30	60	.	.	PUNCT
fcis-32158	31	1	in	in	ADP
fcis-32158	31	2	the	the	DET
fcis-32158	31	3	field	field	NOUN
fcis-32158	31	4	of	of	ADP
fcis-32158	31	5	aluminum	aluminum	NOUN
fcis-32158	31	6	workpiece	workpiece	NOUN
fcis-32158	31	7	detection	detection	NOUN
fcis-32158	31	8	,	,	PUNCT
fcis-32158	31	9	nascimento	nascimento	PROPN
fcis-32158	31	10	r	r	PROPN
fcis-32158	31	11	et	et	NOUN
fcis-32158	31	12	al.[9	al.[9	PROPN
fcis-32158	31	13	]	]	PUNCT
fcis-32158	31	14	proposed	propose	VERB
fcis-32158	31	15	an	an	DET
fcis-32158	31	16	automatic	automatic	ADJ
fcis-32158	31	17	detection	detection	NOUN
fcis-32158	31	18	system	system	NOUN
fcis-32158	31	19	for	for	ADP
fcis-32158	31	20	aluminum	aluminum	NOUN
fcis-32158	31	21	casting	cast	VERB
fcis-32158	31	22	quality	quality	NOUN
fcis-32158	31	23	based	base	VERB
fcis-32158	31	24	on	on	ADP
fcis-32158	31	25	the	the	DET
fcis-32158	31	26	yolov8sseg	yolov8sseg	PROPN
fcis-32158	31	27	instance	instance	NOUN
fcis-32158	31	28	segmentation	segmentation	NOUN
fcis-32158	31	29	model	model	NOUN
fcis-32158	31	30	and	and	CCONJ
fcis-32158	31	31	traditional	traditional	ADJ
fcis-32158	31	32	image	image	NOUN
fcis-32158	31	33	processing	processing	NOUN
fcis-32158	31	34	technology	technology	NOUN
fcis-32158	31	35	,	,	PUNCT
fcis-32158	31	36	which	which	PRON
fcis-32158	31	37	realizes	realize	VERB
fcis-32158	31	38	flash	flash	NOUN
fcis-32158	31	39	detection	detection	NOUN
fcis-32158	31	40	and	and	CCONJ
fcis-32158	31	41	hole	hole	NOUN
fcis-32158	31	42	detection	detection	NOUN
fcis-32158	31	43	through	through	ADP
fcis-32158	31	44	a	a	DET
fcis-32158	31	45	robot	robot	NOUN
fcis-32158	31	46	system	system	NOUN
fcis-32158	31	47	.	.	PUNCT
fcis-32158	32	1	in	in	ADP
fcis-32158	32	2	response	response	NOUN
fcis-32158	32	3	to	to	ADP
fcis-32158	32	4	the	the	DET
fcis-32158	32	5	challenges	challenge	NOUN
fcis-32158	32	6	of	of	ADP
fcis-32158	32	7	multi	multi	ADJ
fcis-32158	32	8	-	-	ADJ
fcis-32158	32	9	scale	scale	ADJ
fcis-32158	32	10	changes	change	NOUN
fcis-32158	32	11	,	,	PUNCT
fcis-32158	32	12	category	category	NOUN
fcis-32158	32	13	imbalance	imbalance	NOUN
fcis-32158	32	14	and	and	CCONJ
fcis-32158	32	15	high	high	ADJ
fcis-32158	32	16	background	background	NOUN
fcis-32158	32	17	similarity	similarity	NOUN
fcis-32158	32	18	in	in	ADP
fcis-32158	32	19	the	the	DET
fcis-32158	32	20	detection	detection	NOUN
fcis-32158	32	21	of	of	ADP
fcis-32158	32	22	aluminum	aluminum	NOUN
fcis-32158	32	23	ingot	ingot	NOUN
fcis-32158	32	24	surface	surface	NOUN
fcis-32158	32	25	defects	defect	NOUN
fcis-32158	32	26	,	,	PUNCT
fcis-32158	32	27	the	the	DET
fcis-32158	32	28	yolo	yolo	PROPN
fcis-32158	32	29	-	-	PUNCT
fcis-32158	32	30	pdc	pdc	PROPN
fcis-32158	32	31	model	model	NOUN
fcis-32158	32	32	proposed	propose	VERB
fcis-32158	32	33	by	by	ADP
fcis-32158	32	34	li[10	li[10	PROPN
fcis-32158	32	35	]	]	PUNCT
fcis-32158	32	36	optimizes	optimize	VERB
fcis-32158	32	37	feature	feature	NOUN
fcis-32158	32	38	extraction	extraction	NOUN
fcis-32158	32	39	by	by	ADP
fcis-32158	32	40	combining	combine	VERB
fcis-32158	32	41	pconv	pconv	NOUN
fcis-32158	32	42	and	and	CCONJ
fcis-32158	32	43	dcnv2	dcnv2	PROPN
fcis-32158	32	44	and	and	CCONJ
fcis-32158	32	45	introduces	introduce	VERB
fcis-32158	32	46	the	the	DET
fcis-32158	32	47	simam	simam	ADJ
fcis-32158	32	48	attention	attention	NOUN
fcis-32158	32	49	mechanism	mechanism	NOUN
fcis-32158	32	50	to	to	PART
fcis-32158	32	51	enhance	enhance	VERB
fcis-32158	32	52	detection	detection	NOUN
fcis-32158	32	53	accuracy	accuracy	NOUN
fcis-32158	32	54	.	.	PUNCT
fcis-32158	33	1	in	in	ADP
fcis-32158	33	2	the	the	DET
fcis-32158	33	3	field	field	NOUN
fcis-32158	33	4	of	of	ADP
fcis-32158	33	5	aluminum	aluminum	NOUN
fcis-32158	33	6	alloy	alloy	NOUN
fcis-32158	33	7	ingot	ingot	NOUN
fcis-32158	33	8	detection	detection	NOUN
fcis-32158	33	9	,	,	PUNCT
fcis-32158	33	10	han	han	PROPN
fcis-32158	33	11	et	et	PROPN
fcis-32158	33	12	al.[11	al.[11	PROPN
fcis-32158	33	13	]	]	PUNCT
fcis-32158	33	14	developed	develop	VERB
fcis-32158	33	15	a	a	DET
fcis-32158	33	16	real	real	ADJ
fcis-32158	33	17	-	-	PUNCT
fcis-32158	33	18	time	time	NOUN
fcis-32158	33	19	detection	detection	NOUN
fcis-32158	33	20	algorithm	algorithm	NOUN
fcis-32158	33	21	for	for	ADP
fcis-32158	33	22	aluminum	aluminum	NOUN
fcis-32158	33	23	ingot	ingot	NOUN
fcis-32158	33	24	alloy	alloy	NOUN
fcis-32158	33	25	casting	cast	VERB
fcis-32158	33	26	lines	line	NOUN
fcis-32158	33	27	and	and	CCONJ
fcis-32158	33	28	verified	verify	VERB
fcis-32158	33	29	the	the	DET
fcis-32158	33	30	applicability	applicability	NOUN
fcis-32158	33	31	of	of	ADP
fcis-32158	33	32	single	single	ADJ
fcis-32158	33	33	-	-	PUNCT
fcis-32158	33	34	stage	stage	NOUN
fcis-32158	33	35	detectors	detector	NOUN
fcis-32158	33	36	in	in	ADP
fcis-32158	33	37	aluminum	aluminum	NOUN
fcis-32158	33	38	material	material	NOUN
fcis-32158	33	39	inspection	inspection	NOUN
fcis-32158	33	40	.	.	PUNCT
fcis-32158	34	1	yan	yan	PROPN
fcis-32158	34	2	et	et	PROPN
fcis-32158	34	3	al.[12	al.[12	PROPN
fcis-32158	34	4	]	]	PUNCT
fcis-32158	34	5	used	use	VERB
fcis-32158	34	6	a	a	DET
fcis-32158	34	7	mask	mask	NOUN
fcis-32158	34	8	gradient	gradient	ADJ
fcis-32158	34	9	response	response	NOUN
fcis-32158	34	10	threshold	threshold	NOUN
fcis-32158	34	11	segmentation	segmentation	NOUN
fcis-32158	34	12	method	method	NOUN
fcis-32158	34	13	to	to	PART
fcis-32158	34	14	solve	solve	VERB
fcis-32158	34	15	the	the	DET
fcis-32158	34	16	problem	problem	NOUN
fcis-32158	34	17	of	of	ADP
fcis-32158	34	18	detecting	detect	VERB
fcis-32158	34	19	surface	surface	NOUN
fcis-32158	34	20	defects	defect	NOUN
fcis-32158	34	21	of	of	ADP
fcis-32158	34	22	milled	mill	VERB
fcis-32158	34	23	aluminum	aluminum	NOUN
fcis-32158	34	24	ingots	ingot	NOUN
fcis-32158	34	25	.	.	PUNCT
fcis-32158	35	1	existing	exist	VERB
fcis-32158	35	2	research	research	NOUN
fcis-32158	35	3	focuses	focus	VERB
fcis-32158	35	4	on	on	ADP
fcis-32158	35	5	aluminum	aluminum	NOUN
fcis-32158	35	6	products	product	NOUN
fcis-32158	35	7	after	after	ADP
fcis-32158	35	8	processing	processing	NOUN
fcis-32158	35	9	,	,	PUNCT
fcis-32158	35	10	while	while	SCONJ
fcis-32158	35	11	research	research	NOUN
fcis-32158	35	12	on	on	ADP
fcis-32158	35	13	the	the	DET
fcis-32158	35	14	detection	detection	NOUN
fcis-32158	35	15	of	of	ADP
fcis-32158	35	16	native	native	ADJ
fcis-32158	35	17	defects	defect	NOUN
fcis-32158	35	18	on	on	ADP
fcis-32158	35	19	the	the	DET
fcis-32158	35	20	surface	surface	NOUN
fcis-32158	35	21	of	of	ADP
fcis-32158	35	22	aluminum	aluminum	NOUN
fcis-32158	35	23	ingots	ingot	NOUN
fcis-32158	35	24	at	at	ADP
fcis-32158	35	25	the	the	DET
fcis-32158	35	26	source	source	NOUN
fcis-32158	35	27	of	of	ADP
fcis-32158	35	28	casting	casting	NOUN
fcis-32158	35	29	is	be	AUX
fcis-32158	35	30	relatively	relatively	ADV
fcis-32158	35	31	scarce	scarce	ADJ
fcis-32158	35	32	.	.	PUNCT
fcis-32158	36	1	3	3	X
fcis-32158	36	2	.	.	X
fcis-32158	36	3	method	method	PROPN
fcis-32158	36	4	3.1	3.1	NUM
fcis-32158	36	5	.	.	PUNCT
fcis-32158	36	6	improved	improve	VERB
fcis-32158	36	7	model	model	NOUN
fcis-32158	36	8	based	base	VERB
fcis-32158	36	9	on	on	ADP
fcis-32158	36	10	yolov8	yolov8	PROPN
fcis-32158	36	11	yolov8	yolov8	PROPN
fcis-32158	36	12	is	be	AUX
fcis-32158	36	13	an	an	DET
fcis-32158	36	14	advanced	advanced	ADJ
fcis-32158	36	15	object	object	NOUN
fcis-32158	36	16	detection	detection	NOUN
fcis-32158	36	17	algorithm	algorithm	NOUN
fcis-32158	36	18	that	that	PRON
fcis-32158	36	19	inherits	inherit	VERB
fcis-32158	36	20	the	the	DET
fcis-32158	36	21	strengths	strength	NOUN
fcis-32158	36	22	of	of	ADP
fcis-32158	36	23	its	its	PRON
fcis-32158	36	24	predecessors	predecessor	NOUN
fcis-32158	36	25	,	,	PUNCT
fcis-32158	36	26	the	the	DET
fcis-32158	36	27	yolo	yolo	ADJ
fcis-32158	36	28	family	family	NOUN
fcis-32158	36	29	of	of	ADP
fcis-32158	36	30	algorithms	algorithm	NOUN
fcis-32158	36	31	,	,	PUNCT
fcis-32158	36	32	while	while	SCONJ
fcis-32158	36	33	also	also	ADV
fcis-32158	36	34	incorporating	incorporate	VERB
fcis-32158	36	35	several	several	ADJ
fcis-32158	36	36	significant	significant	ADJ
fcis-32158	36	37	improvements	improvement	NOUN
fcis-32158	36	38	and	and	CCONJ
fcis-32158	36	39	optimizations	optimization	NOUN
fcis-32158	36	40	.	.	PUNCT
fcis-32158	37	1	yolov8	yolov8	PROPN
fcis-32158	37	2	optimizes	optimize	VERB
fcis-32158	37	3	adaptive	adaptive	ADJ
fcis-32158	37	4	anchor	anchor	NOUN
fcis-32158	37	5	box	box	NOUN
fcis-32158	37	6	adjustment	adjustment	NOUN
fcis-32158	37	7	,	,	PUNCT
fcis-32158	37	8	enabling	enable	VERB
fcis-32158	37	9	more	more	ADV
fcis-32158	37	10	accurate	accurate	ADJ
fcis-32158	37	11	prediction	prediction	NOUN
fcis-32158	37	12	of	of	ADP
fcis-32158	37	13	object	object	NOUN
fcis-32158	37	14	positions	position	NOUN
fcis-32158	37	15	and	and	CCONJ
fcis-32158	37	16	sizes	size	NOUN
fcis-32158	37	17	,	,	PUNCT
fcis-32158	37	18	which	which	PRON
fcis-32158	37	19	helps	help	VERB
fcis-32158	37	20	improve	improve	VERB
fcis-32158	37	21	detection	detection	NOUN
fcis-32158	37	22	precision	precision	NOUN
fcis-32158	37	23	and	and	CCONJ
fcis-32158	37	24	recall	recall	NOUN
fcis-32158	37	25	.	.	PUNCT
fcis-32158	38	1	it	it	PRON
fcis-32158	38	2	also	also	ADV
fcis-32158	38	3	introduces	introduce	VERB
fcis-32158	38	4	improved	improve	VERB
fcis-32158	38	5	multi	multi	ADJ
fcis-32158	38	6	-	-	ADJ
fcis-32158	38	7	scale	scale	ADJ
fcis-32158	38	8	prediction	prediction	NOUN
fcis-32158	38	9	technology	technology	NOUN
fcis-32158	38	10	for	for	ADP
fcis-32158	38	11	better	well	ADJ
fcis-32158	38	12	detection	detection	NOUN
fcis-32158	38	13	of	of	ADP
fcis-32158	38	14	objects	object	NOUN
fcis-32158	38	15	of	of	ADP
fcis-32158	38	16	varying	vary	VERB
fcis-32158	38	17	sizes	size	NOUN
fcis-32158	38	18	.	.	PUNCT
fcis-32158	39	1	the	the	DET
fcis-32158	39	2	yolov8	yolov8	PROPN
fcis-32158	39	3	model	model	PROPN
fcis-32158	39	4	consists	consist	VERB
fcis-32158	39	5	of	of	ADP
fcis-32158	39	6	four	four	NUM
fcis-32158	39	7	components	component	NOUN
fcis-32158	39	8	:	:	PUNCT
fcis-32158	39	9	input	input	NOUN
fcis-32158	39	10	,	,	PUNCT
fcis-32158	39	11	backbone	backbone	NOUN
fcis-32158	39	12	,	,	PUNCT
fcis-32158	39	13	neck	neck	NOUN
fcis-32158	39	14	,	,	PUNCT
fcis-32158	39	15	and	and	CCONJ
fcis-32158	39	16	head	head	NOUN
fcis-32158	39	17	.	.	PUNCT
fcis-32158	40	1	input	input	NOUN
fcis-32158	40	2	:	:	PUNCT
fcis-32158	40	3	this	this	PRON
fcis-32158	40	4	is	be	AUX
fcis-32158	40	5	the	the	DET
fcis-32158	40	6	input	input	NOUN
fcis-32158	40	7	of	of	ADP
fcis-32158	40	8	the	the	DET
fcis-32158	40	9	yolov8	yolov8	NOUN
fcis-32158	40	10	model	model	NOUN
fcis-32158	40	11	.	.	PUNCT
fcis-32158	41	1	it	it	PRON
fcis-32158	41	2	is	be	AUX
fcis-32158	41	3	responsible	responsible	ADJ
fcis-32158	41	4	for	for	ADP
fcis-32158	41	5	preprocessing	preprocesse	VERB
fcis-32158	41	6	the	the	DET
fcis-32158	41	7	input	input	NOUN
fcis-32158	41	8	image	image	NOUN
fcis-32158	41	9	and	and	CCONJ
fcis-32158	41	10	converting	convert	VERB
fcis-32158	41	11	it	it	PRON
fcis-32158	41	12	into	into	ADP
fcis-32158	41	13	a	a	DET
fcis-32158	41	14	format	format	NOUN
fcis-32158	41	15	that	that	SCONJ
fcis-32158	41	16	the	the	DET
fcis-32158	41	17	model	model	NOUN
fcis-32158	41	18	can	can	AUX
fcis-32158	41	19	handle	handle	VERB
fcis-32158	41	20	.	.	PUNCT
fcis-32158	42	1	backbone	backbone	NOUN
fcis-32158	42	2	:	:	PUNCT
fcis-32158	42	3	this	this	PRON
fcis-32158	42	4	is	be	AUX
fcis-32158	42	5	the	the	DET
fcis-32158	42	6	backbone	backbone	NOUN
fcis-32158	42	7	network	network	NOUN
fcis-32158	42	8	of	of	ADP
fcis-32158	42	9	yolov8	yolov8	PROPN
fcis-32158	42	10	,	,	PUNCT
fcis-32158	42	11	responsible	responsible	ADJ
fcis-32158	42	12	for	for	ADP
fcis-32158	42	13	extracting	extract	VERB
fcis-32158	42	14	features	feature	NOUN
fcis-32158	42	15	from	from	ADP
fcis-32158	42	16	the	the	DET
fcis-32158	42	17	input	input	NOUN
fcis-32158	42	18	image	image	NOUN
fcis-32158	42	19	and	and	CCONJ
fcis-32158	42	20	converting	convert	VERB
fcis-32158	42	21	the	the	DET
fcis-32158	42	22	image	image	NOUN
fcis-32158	42	23	into	into	ADP
fcis-32158	42	24	a	a	DET
fcis-32158	42	25	feature	feature	NOUN
fcis-32158	42	26	representation	representation	NOUN
fcis-32158	42	27	rich	rich	ADJ
fcis-32158	42	28	in	in	ADP
fcis-32158	42	29	semantic	semantic	ADJ
fcis-32158	42	30	information	information	NOUN
fcis-32158	42	31	.	.	PUNCT
fcis-32158	43	1	yolov8	yolov8	PROPN
fcis-32158	43	2	uses	use	VERB
fcis-32158	43	3	cspdarknet53	cspdarknet53	NOUN
fcis-32158	43	4	as	as	ADP
fcis-32158	43	5	its	its	PRON
fcis-32158	43	6	backbone	backbone	NOUN
fcis-32158	43	7	network	network	NOUN
fcis-32158	43	8	,	,	PUNCT
fcis-32158	43	9	which	which	PRON
fcis-32158	43	10	offers	offer	VERB
fcis-32158	43	11	significant	significant	ADJ
fcis-32158	43	12	improvements	improvement	NOUN
fcis-32158	43	13	in	in	ADP
fcis-32158	43	14	performance	performance	NOUN
fcis-32158	43	15	and	and	CCONJ
fcis-32158	43	16	speed	speed	NOUN
fcis-32158	43	17	compared	compare	VERB
fcis-32158	43	18	to	to	ADP
fcis-32158	43	19	the	the	DET
fcis-32158	43	20	previous	previous	ADJ
fcis-32158	43	21	darknet53	darknet53	NOUN
fcis-32158	43	22	.	.	PUNCT
fcis-32158	44	1	neck	neck	NOUN
fcis-32158	44	2	:	:	PUNCT
fcis-32158	45	1	yolov8	yolov8	PROPN
fcis-32158	45	2	utilizes	utilize	VERB
fcis-32158	45	3	the	the	DET
fcis-32158	45	4	concept	concept	NOUN
fcis-32158	45	5	of	of	ADP
fcis-32158	45	6	the	the	DET
fcis-32158	45	7	feature	feature	NOUN
fcis-32158	45	8	pyramid	pyramid	NOUN
fcis-32158	45	9	network	network	NOUN
fcis-32158	45	10	(	(	PUNCT
fcis-32158	45	11	fpn	fpn	PROPN
fcis-32158	45	12	)	)	PUNCT
fcis-32158	45	13	,	,	PUNCT
fcis-32158	45	14	removing	remove	VERB
fcis-32158	45	15	the	the	DET
fcis-32158	45	16	convolutions	convolution	NOUN
fcis-32158	45	17	in	in	ADP
fcis-32158	45	18	the	the	DET
fcis-32158	45	19	fpn	fpn	PROPN
fcis-32158	45	20	upsampling	upsampling	NOUN
fcis-32158	45	21	stage	stage	NOUN
fcis-32158	45	22	from	from	ADP
fcis-32158	45	23	the	the	DET
fcis-32158	45	24	original	original	ADJ
fcis-32158	45	25	yolov5	yolov5	NOUN
fcis-32158	45	26	and	and	CCONJ
fcis-32158	45	27	replacing	replace	VERB
fcis-32158	45	28	the	the	DET
fcis-32158	45	29	c3	c3	NOUN
fcis-32158	45	30	module	module	NOUN
fcis-32158	45	31	with	with	ADP
fcis-32158	45	32	a	a	DET
fcis-32158	45	33	c2f	c2f	NOUN
fcis-32158	45	34	module	module	NOUN
fcis-32158	45	35	.	.	PUNCT
fcis-32158	46	1	this	this	DET
fcis-32158	46	2	structure	structure	NOUN
fcis-32158	46	3	facilitates	facilitate	VERB
fcis-32158	46	4	the	the	DET
fcis-32158	46	5	integration	integration	NOUN
fcis-32158	46	6	of	of	ADP
fcis-32158	46	7	features	feature	NOUN
fcis-32158	46	8	from	from	ADP
fcis-32158	46	9	the	the	DET
fcis-32158	46	10	backbone	backbone	NOUN
fcis-32158	46	11	architecture	architecture	NOUN
fcis-32158	46	12	,	,	PUNCT
fcis-32158	46	13	improving	improve	VERB
fcis-32158	46	14	model	model	NOUN
fcis-32158	46	15	performance	performance	NOUN
fcis-32158	46	16	.	.	PUNCT
fcis-32158	47	1	figure	figure	NOUN
fcis-32158	47	2	1	1	NUM
fcis-32158	47	3	.	.	PUNCT
fcis-32158	47	4	improved	improve	VERB
fcis-32158	47	5	yolov8	yolov8	NOUN
fcis-32158	47	6	network	network	NOUN
fcis-32158	47	7	architecture	architecture	NOUN
fcis-32158	47	8	diagram	diagram	NOUN
fcis-32158	47	9	head	head	NOUN
fcis-32158	47	10	:	:	PUNCT
fcis-32158	47	11	this	this	DET
fcis-32158	47	12	part	part	NOUN
fcis-32158	47	13	is	be	AUX
fcis-32158	47	14	the	the	DET
fcis-32158	47	15	last	last	ADJ
fcis-32158	47	16	layer	layer	NOUN
fcis-32158	47	17	of	of	ADP
fcis-32158	47	18	the	the	DET
fcis-32158	47	19	model	model	NOUN
fcis-32158	47	20	.	.	PUNCT
fcis-32158	48	1	unlike	unlike	ADP
fcis-32158	48	2	the	the	DET
fcis-32158	48	3	coupled	couple	VERB
fcis-32158	48	4	head	head	NOUN
fcis-32158	48	5	of	of	ADP
fcis-32158	48	6	yolov5	yolov5	NOUN
fcis-32158	48	7	,	,	PUNCT
fcis-32158	48	8	yolov8	yolov8	PROPN
fcis-32158	48	9	uses	use	VERB
fcis-32158	48	10	decoupled	decouple	VERB
fcis-32158	48	11	head	head	NOUN
fcis-32158	48	12	.	.	PUNCT
fcis-32158	49	1	in	in	ADP
fcis-32158	49	2	the	the	DET
fcis-32158	49	3	detection	detection	NOUN
fcis-32158	49	4	head	head	NOUN
fcis-32158	49	5	part	part	NOUN
fcis-32158	49	6	,	,	PUNCT
fcis-32158	49	7	yolov8	yolov8	PROPN
fcis-32158	49	8	adopts	adopt	VERB
fcis-32158	49	9	the	the	DET
fcis-32158	49	10	anchor	anchor	NOUN
fcis-32158	49	11	-	-	PUNCT
fcis-32158	49	12	free	free	ADJ
fcis-32158	49	13	idea[13	idea[13	PROPN
fcis-32158	49	14	]	]	X
fcis-32158	49	15	,	,	PUNCT
fcis-32158	49	16	which	which	PRON
fcis-32158	49	17	accelerates	accelerate	VERB
fcis-32158	49	18	the	the	DET
fcis-32158	49	19	post	post	ADJ
fcis-32158	49	20	-	-	ADJ
fcis-32158	49	21	processing	processing	ADJ
fcis-32158	49	22	process	process	NOUN
fcis-32158	49	23	of	of	ADP
fcis-32158	49	24	non	non	ADJ
fcis-32158	49	25	-	-	ADJ
fcis-32158	49	26	maximum	maximum	ADJ
fcis-32158	49	27	suppression	suppression	NOUN
fcis-32158	49	28	(	(	PUNCT
fcis-32158	49	29	nms	nms	NOUN
fcis-32158	49	30	)	)	PUNCT
fcis-32158	49	31	and	and	CCONJ
fcis-32158	49	32	further	far	ADV
fcis-32158	49	33	improves	improve	VERB
fcis-32158	49	34	the	the	DET
fcis-32158	49	35	accuracy	accuracy	NOUN
fcis-32158	49	36	and	and	CCONJ
fcis-32158	49	37	efficiency	efficiency	NOUN
fcis-32158	49	38	of	of	ADP
fcis-32158	49	39	the	the	DET
fcis-32158	49	40	model	model	NOUN
fcis-32158	49	41	.	.	PUNCT
fcis-32158	50	1	in	in	ADP
fcis-32158	50	2	addition	addition	NOUN
fcis-32158	50	3	,	,	PUNCT
fcis-32158	50	4	to	to	PART
fcis-32158	50	5	meet	meet	VERB
fcis-32158	50	6	the	the	DET
fcis-32158	50	7	needs	need	NOUN
fcis-32158	50	8	of	of	ADP
fcis-32158	50	9	different	different	ADJ
fcis-32158	50	10	application	application	NOUN
fcis-32158	50	11	scenarios	scenario	NOUN
fcis-32158	50	12	,	,	PUNCT
fcis-32158	50	13	yolov8	yolov8	NOUN
fcis-32158	50	14	provides	provide	VERB
fcis-32158	50	15	five	five	NUM
fcis-32158	50	16	models	model	NOUN
fcis-32158	50	17	of	of	ADP
fcis-32158	50	18	different	different	ADJ
fcis-32158	50	19	scales	scale	NOUN
fcis-32158	50	20	(	(	PUNCT
fcis-32158	50	21	n	n	X
fcis-32158	50	22	,	,	PUNCT
fcis-32158	50	23	s	s	PROPN
fcis-32158	50	24	,	,	PUNCT
fcis-32158	50	25	m	m	PROPN
fcis-32158	50	26	,	,	PUNCT
fcis-32158	50	27	l	l	NOUN
fcis-32158	50	28	,	,	PUNCT
fcis-32158	50	29	x	x	X
fcis-32158	50	30	)	)	PUNCT
fcis-32158	50	31	to	to	PART
fcis-32158	50	32	adapt	adapt	VERB
fcis-32158	50	33	to	to	ADP
fcis-32158	50	34	various	various	ADJ
fcis-32158	50	35	resource	resource	NOUN
fcis-32158	50	36	conditions[14	conditions[14	PROPN
fcis-32158	50	37	]	]	X
fcis-32158	50	38	.	.	PUNCT
fcis-32158	51	1	after	after	ADP
fcis-32158	51	2	comparing	compare	VERB
fcis-32158	51	3	the	the	DET
fcis-32158	51	4	detection	detection	NOUN
fcis-32158	51	5	accuracy	accuracy	NOUN
fcis-32158	51	6	and	and	CCONJ
fcis-32158	51	7	efficiency	efficiency	NOUN
fcis-32158	51	8	of	of	ADP
fcis-32158	51	9	yolov8	yolov8	NOUN
fcis-32158	51	10	models	model	NOUN
fcis-32158	51	11	of	of	ADP
fcis-32158	51	12	different	different	ADJ
fcis-32158	51	13	sizes	size	NOUN
fcis-32158	51	14	,	,	PUNCT
fcis-32158	51	15	it	it	PRON
fcis-32158	51	16	was	be	AUX
fcis-32158	51	17	found	find	VERB
fcis-32158	51	18	that	that	SCONJ
fcis-32158	51	19	yolov8n	yolov8n	NOUN
fcis-32158	51	20	achieved	achieve	VERB
fcis-32158	51	21	the	the	DET
fcis-32158	51	22	best	good	ADJ
fcis-32158	51	23	balance	balance	NOUN
fcis-32158	51	24	between	between	ADP
fcis-32158	51	25	efficiency	efficiency	NOUN
fcis-32158	51	26	and	and	CCONJ
fcis-32158	51	27	56	56	NUM
fcis-32158	51	28	accuracy	accuracy	NOUN
fcis-32158	51	29	,	,	PUNCT
fcis-32158	51	30	and	and	CCONJ
fcis-32158	51	31	subsequent	subsequent	ADJ
fcis-32158	51	32	improvements	improvement	NOUN
fcis-32158	51	33	were	be	AUX
fcis-32158	51	34	based	base	VERB
fcis-32158	51	35	on	on	ADP
fcis-32158	51	36	this	this	DET
fcis-32158	51	37	model	model	NOUN
fcis-32158	51	38	.	.	PUNCT
fcis-32158	52	1	the	the	DET
fcis-32158	52	2	improved	improve	VERB
fcis-32158	52	3	aluminum	aluminum	NOUN
fcis-32158	52	4	ingot	ingot	NOUN
fcis-32158	52	5	surface	surface	NOUN
fcis-32158	52	6	defect	defect	NOUN
fcis-32158	52	7	detection	detection	NOUN
fcis-32158	52	8	network	network	NOUN
fcis-32158	52	9	structure	structure	NOUN
fcis-32158	52	10	is	be	AUX
fcis-32158	52	11	shown	show	VERB
fcis-32158	52	12	in	in	ADP
fcis-32158	52	13	figure	figure	NOUN
fcis-32158	52	14	1	1	NUM
fcis-32158	52	15	.	.	PUNCT
fcis-32158	53	1	the	the	DET
fcis-32158	53	2	simam	simam	ADJ
fcis-32158	53	3	attention	attention	NOUN
fcis-32158	53	4	module	module	NOUN
fcis-32158	53	5	is	be	AUX
fcis-32158	53	6	introduced	introduce	VERB
fcis-32158	53	7	at	at	ADP
fcis-32158	53	8	the	the	DET
fcis-32158	53	9	backbone	backbone	NOUN
fcis-32158	53	10	of	of	ADP
fcis-32158	53	11	the	the	DET
fcis-32158	53	12	network	network	NOUN
fcis-32158	53	13	to	to	PART
fcis-32158	53	14	guide	guide	VERB
fcis-32158	53	15	the	the	DET
fcis-32158	53	16	model	model	NOUN
fcis-32158	53	17	to	to	PART
fcis-32158	53	18	focus	focus	VERB
fcis-32158	53	19	on	on	ADP
fcis-32158	53	20	the	the	DET
fcis-32158	53	21	detailed	detailed	ADJ
fcis-32158	53	22	structures	structure	NOUN
fcis-32158	53	23	at	at	ADP
fcis-32158	53	24	different	different	ADJ
fcis-32158	53	25	scales	scale	NOUN
fcis-32158	53	26	on	on	ADP
fcis-32158	53	27	the	the	DET
fcis-32158	53	28	aluminum	aluminum	NOUN
fcis-32158	53	29	ingot	ingot	NOUN
fcis-32158	53	30	surface	surface	NOUN
fcis-32158	53	31	.	.	PUNCT
fcis-32158	54	1	channel	channel	NOUN
fcis-32158	54	2	attention	attention	NOUN
fcis-32158	54	3	uses	use	VERB
fcis-32158	54	4	a	a	DET
fcis-32158	54	5	1d	1d	NUM
fcis-32158	54	6	mechanism	mechanism	NOUN
fcis-32158	54	7	to	to	PART
fcis-32158	54	8	distinguish	distinguish	VERB
fcis-32158	54	9	channels	channel	NOUN
fcis-32158	54	10	but	but	CCONJ
fcis-32158	54	11	ignores	ignore	VERB
fcis-32158	54	12	spatial	spatial	ADJ
fcis-32158	54	13	differences	difference	NOUN
fcis-32158	54	14	,	,	PUNCT
fcis-32158	54	15	while	while	SCONJ
fcis-32158	54	16	spatial	spatial	ADJ
fcis-32158	54	17	attention	attention	NOUN
fcis-32158	54	18	focuses	focus	VERB
fcis-32158	54	19	on	on	ADP
fcis-32158	54	20	position	position	NOUN
fcis-32158	54	21	information	information	NOUN
fcis-32158	54	22	through	through	ADP
fcis-32158	54	23	a	a	DET
fcis-32158	54	24	2d	2d	NUM
fcis-32158	54	25	mechanism	mechanism	NOUN
fcis-32158	54	26	but	but	CCONJ
fcis-32158	54	27	ignores	ignore	VERB
fcis-32158	54	28	channel	channel	NOUN
fcis-32158	54	29	differences	difference	NOUN
fcis-32158	54	30	,	,	PUNCT
fcis-32158	54	31	which	which	PRON
fcis-32158	54	32	restricts	restrict	VERB
fcis-32158	54	33	the	the	DET
fcis-32158	54	34	ability	ability	NOUN
fcis-32158	54	35	to	to	PART
fcis-32158	54	36	distinguish	distinguish	VERB
fcis-32158	54	37	features	feature	NOUN
fcis-32158	54	38	.	.	PUNCT
fcis-32158	55	1	existing	exist	VERB
fcis-32158	55	2	methods	method	NOUN
fcis-32158	55	3	such	such	ADJ
fcis-32158	55	4	as	as	ADP
fcis-32158	55	5	bam	bam	NOUN
fcis-32158	55	6	and	and	CCONJ
fcis-32158	55	7	cbam[15	cbam[15	NOUN
fcis-32158	55	8	]	]	PUNCT
fcis-32158	55	9	simply	simply	ADV
fcis-32158	55	10	connect	connect	VERB
fcis-32158	55	11	the	the	DET
fcis-32158	55	12	two	two	NUM
fcis-32158	55	13	types	type	NOUN
fcis-32158	55	14	of	of	ADP
fcis-32158	55	15	attention	attention	NOUN
fcis-32158	55	16	in	in	ADP
fcis-32158	55	17	parallel	parallel	ADJ
fcis-32158	55	18	or	or	CCONJ
fcis-32158	55	19	in	in	ADP
fcis-32158	55	20	series	series	NOUN
fcis-32158	55	21	,	,	PUNCT
fcis-32158	55	22	failing	fail	VERB
fcis-32158	55	23	to	to	PART
fcis-32158	55	24	simulate	simulate	VERB
fcis-32158	55	25	the	the	DET
fcis-32158	55	26	collaborative	collaborative	ADJ
fcis-32158	55	27	mechanism	mechanism	NOUN
fcis-32158	55	28	of	of	ADP
fcis-32158	55	29	human	human	ADJ
fcis-32158	55	30	brain	brain	NOUN
fcis-32158	55	31	attention	attention	NOUN
fcis-32158	55	32	.	.	PUNCT
fcis-32158	56	1	therefore	therefore	ADV
fcis-32158	56	2	,	,	PUNCT
fcis-32158	56	3	it	it	PRON
fcis-32158	56	4	is	be	AUX
fcis-32158	56	5	necessary	necessary	ADJ
fcis-32158	56	6	to	to	PART
fcis-32158	56	7	construct	construct	VERB
fcis-32158	56	8	an	an	DET
fcis-32158	56	9	attention	attention	NOUN
fcis-32158	56	10	module	module	NOUN
fcis-32158	56	11	with	with	ADP
fcis-32158	56	12	unified	unified	ADJ
fcis-32158	56	13	weights	weight	NOUN
fcis-32158	56	14	to	to	PART
fcis-32158	56	15	achieve	achieve	VERB
fcis-32158	56	16	a	a	DET
fcis-32158	56	17	better	well	ADJ
fcis-32158	56	18	attention	attention	NOUN
fcis-32158	56	19	mechanism	mechanism	NOUN
fcis-32158	56	20	by	by	ADP
fcis-32158	56	21	evaluating	evaluate	VERB
fcis-32158	56	22	the	the	DET
fcis-32158	56	23	importance	importance	NOUN
fcis-32158	56	24	of	of	ADP
fcis-32158	56	25	neurons	neuron	NOUN
fcis-32158	56	26	.	.	PUNCT
fcis-32158	57	1	figure	figure	NOUN
fcis-32158	57	2	2	2	NUM
fcis-32158	57	3	.	.	PUNCT
fcis-32158	57	4	eca	eca	NOUN
fcis-32158	57	5	module	module	NOUN
fcis-32158	57	6	structure	structure	NOUN
fcis-32158	57	7	based	base	VERB
fcis-32158	57	8	on	on	ADP
fcis-32158	57	9	mature	mature	ADJ
fcis-32158	57	10	neuroscience	neuroscience	NOUN
fcis-32158	57	11	theories	theory	NOUN
fcis-32158	57	12	,	,	PUNCT
fcis-32158	57	13	yang	yang	PROPN
fcis-32158	57	14	et	et	PROPN
fcis-32158	57	15	al.[16	al.[16	PROPN
fcis-32158	57	16	]	]	PUNCT
fcis-32158	57	17	proposed	propose	VERB
fcis-32158	57	18	the	the	DET
fcis-32158	57	19	simam	simam	ADJ
fcis-32158	57	20	attention	attention	NOUN
fcis-32158	57	21	mechanism	mechanism	NOUN
fcis-32158	57	22	in	in	ADP
fcis-32158	57	23	2021	2021	NUM
fcis-32158	57	24	.	.	PUNCT
fcis-32158	58	1	this	this	PRON
fcis-32158	58	2	is	be	AUX
fcis-32158	58	3	a	a	DET
fcis-32158	58	4	fully	fully	ADV
fcis-32158	58	5	3	3	NUM
fcis-32158	58	6	-	-	SYM
fcis-32158	58	7	d	d	PROPN
fcis-32158	58	8	,	,	PUNCT
fcis-32158	58	9	weighted	weight	VERB
fcis-32158	58	10	,	,	PUNCT
fcis-32158	58	11	and	and	CCONJ
fcis-32158	58	12	parameter	parameter	NOUN
fcis-32158	58	13	-	-	PUNCT
fcis-32158	58	14	free	free	ADJ
fcis-32158	58	15	attention	attention	NOUN
fcis-32158	58	16	mechanism	mechanism	NOUN
fcis-32158	58	17	.	.	PUNCT
fcis-32158	59	1	its	its	PRON
fcis-32158	59	2	principle	principle	NOUN
fcis-32158	59	3	is	be	AUX
fcis-32158	59	4	shown	show	VERB
fcis-32158	59	5	in	in	ADP
fcis-32158	59	6	figure	figure	NOUN
fcis-32158	59	7	2	2	NUM
fcis-32158	59	8	,	,	PUNCT
fcis-32158	59	9	where	where	SCONJ
fcis-32158	59	10	𝐻	𝐻	PROPN
fcis-32158	59	11	and	and	CCONJ
fcis-32158	59	12	𝑊	𝑊	PROPN
fcis-32158	59	13	are	be	AUX
fcis-32158	59	14	the	the	DET
fcis-32158	59	15	height	height	NOUN
fcis-32158	59	16	and	and	CCONJ
fcis-32158	59	17	width	width	NOUN
fcis-32158	59	18	of	of	ADP
fcis-32158	59	19	the	the	DET
fcis-32158	59	20	feature	feature	NOUN
fcis-32158	59	21	map	map	NOUN
fcis-32158	59	22	,	,	PUNCT
fcis-32158	59	23	and	and	CCONJ
fcis-32158	59	24	𝑋	𝑋	NOUN
fcis-32158	59	25	is	be	AUX
fcis-32158	59	26	the	the	DET
fcis-32158	59	27	input	input	NOUN
fcis-32158	59	28	feature	feature	NOUN
fcis-32158	59	29	map	map	NOUN
fcis-32158	59	30	.	.	PUNCT
fcis-32158	60	1	compared	compare	VERB
fcis-32158	60	2	with	with	ADP
fcis-32158	60	3	other	other	ADJ
fcis-32158	60	4	existing	exist	VERB
fcis-32158	60	5	attention	attention	NOUN
fcis-32158	60	6	mechanisms	mechanism	NOUN
fcis-32158	60	7	,	,	PUNCT
fcis-32158	60	8	simam	simam	NOUN
fcis-32158	60	9	considers	consider	VERB
fcis-32158	60	10	the	the	DET
fcis-32158	60	11	correlation	correlation	NOUN
fcis-32158	60	12	between	between	ADP
fcis-32158	60	13	spatial	spatial	ADJ
fcis-32158	60	14	and	and	CCONJ
fcis-32158	60	15	channel	channel	NOUN
fcis-32158	60	16	factors	factor	NOUN
fcis-32158	60	17	and	and	CCONJ
fcis-32158	60	18	can	can	AUX
fcis-32158	60	19	efficiently	efficiently	ADV
fcis-32158	60	20	generate	generate	VERB
fcis-32158	60	21	realistic	realistic	ADJ
fcis-32158	60	22	3	3	NUM
fcis-32158	60	23	-	-	SYM
fcis-32158	60	24	d	d	NOUN
fcis-32158	60	25	weights	weight	NOUN
fcis-32158	60	26	for	for	ADP
fcis-32158	60	27	feature	feature	NOUN
fcis-32158	60	28	mapping	mapping	NOUN
fcis-32158	60	29	without	without	ADP
fcis-32158	60	30	the	the	DET
fcis-32158	60	31	need	need	NOUN
fcis-32158	60	32	for	for	ADP
fcis-32158	60	33	additional	additional	ADJ
fcis-32158	60	34	parameters	parameter	NOUN
fcis-32158	60	35	.	.	PUNCT
fcis-32158	61	1	4	4	X
fcis-32158	61	2	.	.	X
fcis-32158	61	3	experiment	experiment	NOUN
fcis-32158	61	4	4.1	4.1	NUM
fcis-32158	61	5	.	.	PUNCT
fcis-32158	62	1	dataset	dataset	NOUN
fcis-32158	62	2	and	and	CCONJ
fcis-32158	62	3	experimental	experimental	ADJ
fcis-32158	62	4	sett	sett	PROPN
fcis-32158	62	5	to	to	PART
fcis-32158	62	6	meet	meet	VERB
fcis-32158	62	7	the	the	DET
fcis-32158	62	8	industrial	industrial	ADJ
fcis-32158	62	9	needs	need	NOUN
fcis-32158	62	10	of	of	ADP
fcis-32158	62	11	aluminum	aluminum	NOUN
fcis-32158	62	12	ingot	ingot	NOUN
fcis-32158	62	13	surface	surface	NOUN
fcis-32158	62	14	defect	defect	NOUN
fcis-32158	62	15	detection	detection	NOUN
fcis-32158	62	16	,	,	PUNCT
fcis-32158	62	17	this	this	DET
fcis-32158	62	18	study	study	NOUN
fcis-32158	62	19	used	use	VERB
fcis-32158	62	20	data	datum	NOUN
fcis-32158	62	21	actually	actually	ADV
fcis-32158	62	22	collected	collect	VERB
fcis-32158	62	23	from	from	ADP
fcis-32158	62	24	an	an	DET
fcis-32158	62	25	aluminum	aluminum	NOUN
fcis-32158	62	26	production	production	NOUN
fcis-32158	62	27	line	line	NOUN
fcis-32158	62	28	in	in	ADP
fcis-32158	62	29	inner	inner	ADJ
fcis-32158	62	30	mongolia	mongolia	PROPN
fcis-32158	62	31	,	,	PUNCT
fcis-32158	62	32	using	use	VERB
fcis-32158	62	33	an	an	DET
fcis-32158	62	34	mv	mv	PROPN
fcis-32158	62	35	-	-	ADJ
fcis-32158	62	36	cs016	cs016	ADJ
fcis-32158	62	37	-	-	PUNCT
fcis-32158	62	38	10gm	10gm	ADJ
fcis-32158	62	39	industrial	industrial	ADJ
fcis-32158	62	40	camera	camera	NOUN
fcis-32158	62	41	(	(	PUNCT
fcis-32158	62	42	1440×1080	1440×1080	NUM
fcis-32158	62	43	resolution	resolution	NOUN
fcis-32158	62	44	,	,	PUNCT
fcis-32158	62	45	10μm	10μm	ADJ
fcis-32158	62	46	pixel	pixel	NOUN
fcis-32158	62	47	size	size	NOUN
fcis-32158	62	48	)	)	PUNCT
fcis-32158	62	49	to	to	PART
fcis-32158	62	50	acquire	acquire	VERB
fcis-32158	62	51	more	more	ADJ
fcis-32158	62	52	than	than	ADP
fcis-32158	62	53	2,000	2,000	NUM
fcis-32158	62	54	images	image	NOUN
fcis-32158	62	55	.	.	PUNCT
fcis-32158	63	1	after	after	SCONJ
fcis-32158	63	2	process	process	NOUN
fcis-32158	63	3	analysis	analysis	NOUN
fcis-32158	63	4	and	and	CCONJ
fcis-32158	63	5	quality	quality	NOUN
fcis-32158	63	6	assessment	assessment	NOUN
fcis-32158	63	7	,	,	PUNCT
fcis-32158	63	8	flash	flash	NOUN
fcis-32158	63	9	and	and	CCONJ
fcis-32158	63	10	slag	slag	NOUN
fcis-32158	63	11	inclusions	inclusion	NOUN
fcis-32158	63	12	were	be	AUX
fcis-32158	63	13	identified	identify	VERB
fcis-32158	63	14	as	as	ADP
fcis-32158	63	15	the	the	DET
fcis-32158	63	16	main	main	ADJ
fcis-32158	63	17	defect	defect	NOUN
fcis-32158	63	18	types	type	NOUN
fcis-32158	63	19	:	:	PUNCT
fcis-32158	63	20	flash	flash	NOUN
fcis-32158	63	21	is	be	AUX
fcis-32158	63	22	a	a	DET
fcis-32158	63	23	thin	thin	ADJ
fcis-32158	63	24	linear	linear	NOUN
fcis-32158	63	25	protrusion	protrusion	NOUN
fcis-32158	63	26	(	(	PUNCT
fcis-32158	63	27	5	5	NUM
fcis-32158	63	28	-	-	PUNCT
fcis-32158	63	29	20μm	20μm	ADJ
fcis-32158	63	30	wide	wide	NOUN
fcis-32158	63	31	)	)	PUNCT
fcis-32158	63	32	formed	form	VERB
fcis-32158	63	33	by	by	ADP
fcis-32158	63	34	the	the	DET
fcis-32158	63	35	overflow	overflow	NOUN
fcis-32158	63	36	and	and	CCONJ
fcis-32158	63	37	solidification	solidification	NOUN
fcis-32158	63	38	of	of	ADP
fcis-32158	63	39	rolled	roll	VERB
fcis-32158	63	40	aluminum	aluminum	NOUN
fcis-32158	63	41	liquid	liquid	NOUN
fcis-32158	63	42	;	;	PUNCT
fcis-32158	63	43	slag	slag	NOUN
fcis-32158	63	44	inclusions	inclusion	NOUN
fcis-32158	63	45	are	be	AUX
fcis-32158	63	46	irregular	irregular	ADJ
fcis-32158	63	47	pits	pit	NOUN
fcis-32158	63	48	(	(	PUNCT
fcis-32158	63	49	50	50	NUM
fcis-32158	63	50	-	-	PUNCT
fcis-32158	63	51	200μm	200μm	NOUN
fcis-32158	63	52	)	)	PUNCT
fcis-32158	63	53	caused	cause	VERB
fcis-32158	63	54	by	by	ADP
fcis-32158	63	55	residual	residual	ADJ
fcis-32158	63	56	al₂o₃	al₂o₃	NOUN
fcis-32158	63	57	impurities	impurity	NOUN
fcis-32158	63	58	.	.	PUNCT
fcis-32158	64	1	through	through	ADP
fcis-32158	64	2	stratified	stratified	ADJ
fcis-32158	64	3	sampling	sampling	NOUN
fcis-32158	64	4	,	,	PUNCT
fcis-32158	64	5	1,889	1,889	NUM
fcis-32158	64	6	high	high	ADJ
fcis-32158	64	7	-	-	PUNCT
fcis-32158	64	8	quality	quality	NOUN
fcis-32158	64	9	images	image	NOUN
fcis-32158	64	10	without	without	ADP
fcis-32158	64	11	blur	blur	NOUN
fcis-32158	64	12	and	and	CCONJ
fcis-32158	64	13	uniform	uniform	ADJ
fcis-32158	64	14	distribution	distribution	NOUN
fcis-32158	64	15	were	be	AUX
fcis-32158	64	16	selected	select	VERB
fcis-32158	64	17	as	as	ADP
fcis-32158	64	18	samples	sample	NOUN
fcis-32158	64	19	.	.	PUNCT
fcis-32158	65	1	the	the	DET
fcis-32158	65	2	results	result	NOUN
fcis-32158	65	3	are	be	AUX
fcis-32158	65	4	shown	show	VERB
fcis-32158	65	5	in	in	ADP
fcis-32158	65	6	figure	figure	NOUN
fcis-32158	65	7	3	3	NUM
fcis-32158	65	8	.	.	PUNCT
fcis-32158	65	9	to	to	PART
fcis-32158	65	10	address	address	VERB
fcis-32158	65	11	the	the	DET
fcis-32158	65	12	challenges	challenge	NOUN
fcis-32158	65	13	of	of	ADP
fcis-32158	65	14	on	on	ADP
fcis-32158	65	15	-	-	PUNCT
fcis-32158	65	16	site	site	NOUN
fcis-32158	65	17	data	data	NOUN
fcis-32158	65	18	collection	collection	NOUN
fcis-32158	65	19	in	in	ADP
fcis-32158	65	20	aluminum	aluminum	NOUN
fcis-32158	65	21	ingot	ingot	NOUN
fcis-32158	65	22	production	production	NOUN
fcis-32158	65	23	(	(	PUNCT
fcis-32158	65	24	high	high	ADJ
fcis-32158	65	25	temperature	temperature	NOUN
fcis-32158	65	26	limitations	limitation	NOUN
fcis-32158	65	27	,	,	PUNCT
fcis-32158	65	28	mechanical	mechanical	ADJ
fcis-32158	65	29	vibration	vibration	NOUN
fcis-32158	65	30	,	,	PUNCT
fcis-32158	65	31	high	high	ADJ
fcis-32158	65	32	reflective	reflective	ADJ
fcis-32158	65	33	interference	interference	NOUN
fcis-32158	65	34	,	,	PUNCT
fcis-32158	65	35	and	and	CCONJ
fcis-32158	65	36	insufficient	insufficient	ADJ
fcis-32158	65	37	defect	defect	NOUN
fcis-32158	65	38	morphology	morphology	NOUN
fcis-32158	65	39	diversity	diversity	NOUN
fcis-32158	65	40	)	)	PUNCT
fcis-32158	65	41	,	,	PUNCT
fcis-32158	65	42	this	this	DET
fcis-32158	65	43	study	study	NOUN
fcis-32158	65	44	employed	employ	VERB
fcis-32158	65	45	data	datum	NOUN
fcis-32158	65	46	augmentation	augmentation	NOUN
fcis-32158	65	47	techniques	technique	NOUN
fcis-32158	65	48	to	to	PART
fcis-32158	65	49	expand	expand	VERB
fcis-32158	65	50	the	the	DET
fcis-32158	65	51	sample	sample	NOUN
fcis-32158	65	52	size	size	NOUN
fcis-32158	65	53	.	.	PUNCT
fcis-32158	66	1	specific	specific	ADJ
fcis-32158	66	2	methods	method	NOUN
fcis-32158	66	3	include	include	VERB
fcis-32158	66	4	:	:	PUNCT
fcis-32158	66	5	1	1	X
fcis-32158	66	6	)	)	PUNCT
fcis-32158	66	7	geometric	geometric	ADJ
fcis-32158	66	8	transformation	transformation	NOUN
fcis-32158	66	9	:	:	PUNCT
fcis-32158	66	10	±15	±15	NOUN
fcis-32158	66	11	°	°	ADP
fcis-32158	66	12	random	random	ADJ
fcis-32158	66	13	rotation	rotation	NOUN
fcis-32158	66	14	to	to	PART
fcis-32158	66	15	simulate	simulate	VERB
fcis-32158	66	16	pose	pose	NOUN
fcis-32158	66	17	changes	change	NOUN
fcis-32158	66	18	,	,	PUNCT
fcis-32158	66	19	0.7	0.7	NUM
fcis-32158	66	20	-	-	SYM
fcis-32158	66	21	1.3	1.3	NUM
fcis-32158	66	22	°	°	NOUN
fcis-32158	66	23	scaling	scale	VERB
fcis-32158	66	24	to	to	PART
fcis-32158	66	25	adapt	adapt	VERB
fcis-32158	66	26	to	to	ADP
fcis-32158	66	27	shooting	shoot	VERB
fcis-32158	66	28	distance	distance	NOUN
fcis-32158	66	29	,	,	PUNCT
fcis-32158	66	30	and	and	CCONJ
fcis-32158	66	31	shear	shear	NOUN
fcis-32158	66	32	correction	correction	NOUN
fcis-32158	66	33	to	to	PART
fcis-32158	66	34	compensate	compensate	VERB
fcis-32158	66	35	for	for	ADP
fcis-32158	66	36	installation	installation	NOUN
fcis-32158	66	37	errors	error	NOUN
fcis-32158	66	38	;	;	PUNCT
fcis-32158	66	39	2	2	X
fcis-32158	66	40	)	)	PUNCT
fcis-32158	66	41	photometric	photometric	NOUN
fcis-32158	66	42	adjustment	adjustment	NOUN
fcis-32158	66	43	:	:	PUNCT
fcis-32158	66	44	high	high	ADJ
fcis-32158	66	45	-	-	PUNCT
fcis-32158	66	46	speed	speed	NOUN
fcis-32158	66	47	vision	vision	NOUN
fcis-32158	66	48	(	(	PUNCT
fcis-32158	66	49	hsv	hsv	PROPN
fcis-32158	66	50	)	)	PUNCT
fcis-32158	66	51	spatial	spatial	ADJ
fcis-32158	66	52	brightness	brightness	NOUN
fcis-32158	66	53	perturbation	perturbation	NOUN
fcis-32158	66	54	to	to	PART
fcis-32158	66	55	simulate	simulate	VERB
fcis-32158	66	56	illumination	illumination	NOUN
fcis-32158	66	57	fluctuations	fluctuation	NOUN
fcis-32158	66	58	;	;	PUNCT
fcis-32158	66	59	and	and	CCONJ
fcis-32158	66	60	3	3	X
fcis-32158	66	61	)	)	PUNCT
fcis-32158	66	62	semantic	semantic	ADJ
fcis-32158	66	63	enhancement	enhancement	NOUN
fcis-32158	66	64	:	:	PUNCT
fcis-32158	66	65	multi	multi	ADJ
fcis-32158	66	66	-	-	ADJ
fcis-32158	66	67	image	image	ADJ
fcis-32158	66	68	stitching	stitching	NOUN
fcis-32158	66	69	to	to	PART
fcis-32158	66	70	promote	promote	VERB
fcis-32158	66	71	multi	multi	ADJ
fcis-32158	66	72	-	-	ADJ
fcis-32158	66	73	scale	scale	ADJ
fcis-32158	66	74	feature	feature	NOUN
fcis-32158	66	75	learning	learning	NOUN
fcis-32158	66	76	,	,	PUNCT
fcis-32158	66	77	and	and	CCONJ
fcis-32158	66	78	image	image	NOUN
fcis-32158	66	79	blending	blend	VERB
fcis-32158	66	80	to	to	PART
fcis-32158	66	81	enhance	enhance	VERB
fcis-32158	66	82	inter	inter	ADJ
fcis-32158	66	83	-	-	ADJ
fcis-32158	66	84	class	class	ADJ
fcis-32158	66	85	boundary	boundary	ADJ
fcis-32158	66	86	recognition	recognition	NOUN
fcis-32158	66	87	.	.	PUNCT
fcis-32158	67	1	figure	figure	VERB
fcis-32158	67	2	3	3	NUM
fcis-32158	67	3	.	.	PUNCT
fcis-32158	67	4	schematic	schematic	ADJ
fcis-32158	67	5	diagram	diagram	NOUN
fcis-32158	67	6	of	of	ADP
fcis-32158	67	7	aluminum	aluminum	NOUN
fcis-32158	67	8	ingot	ingot	NOUN
fcis-32158	67	9	surface	surface	NOUN
fcis-32158	67	10	defects	defect	NOUN
fcis-32158	67	11	this	this	DET
fcis-32158	67	12	study	study	NOUN
fcis-32158	67	13	constructed	construct	VERB
fcis-32158	67	14	a	a	DET
fcis-32158	67	15	high	high	ADJ
fcis-32158	67	16	-	-	PUNCT
fcis-32158	67	17	performance	performance	NOUN
fcis-32158	67	18	computing	compute	VERB
fcis-32158	67	19	experimental	experimental	ADJ
fcis-32158	67	20	platform	platform	NOUN
fcis-32158	67	21	with	with	ADP
fcis-32158	67	22	the	the	DET
fcis-32158	67	23	following	follow	VERB
fcis-32158	67	24	hardware	hardware	NOUN
fcis-32158	67	25	and	and	CCONJ
fcis-32158	67	26	software	software	NOUN
fcis-32158	67	27	configuration	configuration	NOUN
fcis-32158	67	28	:	:	PUNCT
fcis-32158	67	29	it	it	PRON
fcis-32158	67	30	uses	use	VERB
fcis-32158	67	31	the	the	DET
fcis-32158	67	32	ubuntu	ubuntu	ADJ
fcis-32158	67	33	22.04	22.04	NUM
fcis-32158	67	34	lts	lts	NOUN
fcis-32158	67	35	operating	operating	NOUN
fcis-32158	67	36	system	system	NOUN
fcis-32158	67	37	,	,	PUNCT
fcis-32158	67	38	is	be	AUX
fcis-32158	67	39	equipped	equip	VERB
fcis-32158	67	40	with	with	ADP
fcis-32158	67	41	a	a	DET
fcis-32158	67	42	parallel	parallel	ADJ
fcis-32158	67	43	computing	computing	NOUN
fcis-32158	67	44	array	array	NOUN
fcis-32158	67	45	consisting	consist	VERB
fcis-32158	67	46	of	of	ADP
fcis-32158	67	47	16	16	NUM
fcis-32158	67	48	x	x	SYM
fcis-32158	67	49	32	32	NUM
fcis-32158	67	50	gb	gb	NOUN
fcis-32158	67	51	ddr4	ddr4	PROPN
fcis-32158	67	52	-	-	PUNCT
fcis-32158	67	53	3200mhz	3200mhz	PROPN
fcis-32158	67	54	ecc	ecc	NOUN
fcis-32158	67	55	reg	reg	NOUN
fcis-32158	67	56	memory	memory	NOUN
fcis-32158	67	57	modules	module	NOUN
fcis-32158	67	58	,	,	PUNCT
fcis-32158	67	59	and	and	CCONJ
fcis-32158	67	60	four	four	NUM
fcis-32158	67	61	nvidia	nvidia	PROPN
fcis-32158	67	62	geforce	geforce	NOUN
fcis-32158	67	63	rtx	rtx	PROPN
fcis-32158	67	64	4090	4090	NUM
fcis-32158	67	65	gpus	gpu	NOUN
fcis-32158	67	66	.	.	PUNCT
fcis-32158	68	1	the	the	DET
fcis-32158	68	2	software	software	NOUN
fcis-32158	68	3	environment	environment	NOUN
fcis-32158	68	4	is	be	AUX
fcis-32158	68	5	based	base	VERB
fcis-32158	68	6	on	on	ADP
fcis-32158	68	7	the	the	DET
fcis-32158	68	8	pytorch	pytorch	NOUN
fcis-32158	68	9	1.13.1	1.13.1	NUM
fcis-32158	68	10	deep	deep	ADJ
fcis-32158	68	11	learning	learning	NOUN
fcis-32158	68	12	framework	framework	NOUN
fcis-32158	68	13	,	,	PUNCT
fcis-32158	68	14	and	and	CCONJ
fcis-32158	68	15	is	be	AUX
fcis-32158	68	16	equipped	equip	VERB
fcis-32158	68	17	with	with	ADP
fcis-32158	68	18	a	a	DET
fcis-32158	68	19	1	1	NUM
fcis-32158	68	20	tb	tb	NOUN
fcis-32158	68	21	samsung	samsung	PROPN
fcis-32158	68	22	980	980	NUM
fcis-32158	68	23	pro	pro	X
fcis-32158	68	24	nvme	nvme	PROPN
fcis-32158	68	25	ssd	ssd	NOUN
fcis-32158	68	26	as	as	ADP
fcis-32158	68	27	system	system	NOUN
fcis-32158	68	28	storage	storage	NOUN
fcis-32158	68	29	.	.	PUNCT
fcis-32158	69	1	the	the	DET
fcis-32158	69	2	platform	platform	NOUN
fcis-32158	69	3	provides	provide	VERB
fcis-32158	69	4	16.3	16.3	NUM
fcis-32158	69	5	tflops	tflop	NOUN
fcis-32158	69	6	of	of	ADP
fcis-32158	69	7	single	single	ADJ
fcis-32158	69	8	-	-	PUNCT
fcis-32158	69	9	precision	precision	NOUN
fcis-32158	69	10	floatingpoint	floatingpoint	NOUN
fcis-32158	69	11	computing	compute	VERB
fcis-32158	69	12	power	power	NOUN
fcis-32158	69	13	,	,	PUNCT
fcis-32158	69	14	fully	fully	ADV
fcis-32158	69	15	meeting	meet	VERB
fcis-32158	69	16	the	the	DET
fcis-32158	69	17	computational	computational	ADJ
fcis-32158	69	18	requirements	requirement	NOUN
fcis-32158	69	19	of	of	ADP
fcis-32158	69	20	large	large	ADJ
fcis-32158	69	21	-	-	PUNCT
fcis-32158	69	22	scale	scale	NOUN
fcis-32158	69	23	image	image	NOUN
fcis-32158	69	24	processing	processing	NOUN
fcis-32158	69	25	.	.	PUNCT
fcis-32158	70	1	4.2	4.2	NUM
fcis-32158	70	2	.	.	PUNCT
fcis-32158	71	1	algorithm	algorithm	PROPN
fcis-32158	71	2	comparison	comparison	NOUN
fcis-32158	71	3	experiment	experiment	NOUN
fcis-32158	71	4	in	in	ADP
fcis-32158	71	5	order	order	NOUN
fcis-32158	71	6	to	to	PART
fcis-32158	71	7	systematically	systematically	ADV
fcis-32158	71	8	evaluate	evaluate	VERB
fcis-32158	71	9	the	the	DET
fcis-32158	71	10	optimization	optimization	NOUN
fcis-32158	71	11	effect	effect	NOUN
fcis-32158	71	12	of	of	ADP
fcis-32158	71	13	each	each	DET
fcis-32158	71	14	improved	improve	VERB
fcis-32158	71	15	module	module	NOUN
fcis-32158	71	16	,	,	PUNCT
fcis-32158	71	17	this	this	DET
fcis-32158	71	18	study	study	NOUN
fcis-32158	71	19	designed	design	VERB
fcis-32158	71	20	a	a	DET
fcis-32158	71	21	rigorous	rigorous	ADJ
fcis-32158	71	22	ablation	ablation	NOUN
fcis-32158	71	23	experiment	experiment	NOUN
fcis-32158	71	24	based	base	VERB
fcis-32158	71	25	on	on	ADP
fcis-32158	71	26	a	a	DET
fcis-32158	71	27	self	self	NOUN
fcis-32158	71	28	-	-	PUNCT
fcis-32158	71	29	built	build	VERB
fcis-32158	71	30	aluminum	aluminum	NOUN
fcis-32158	71	31	ingot	ingot	NOUN
fcis-32158	71	32	surface	surface	NOUN
fcis-32158	71	33	defect	defect	NOUN
fcis-32158	71	34	dataset	dataset	NOUN
fcis-32158	71	35	.	.	PUNCT
fcis-32158	72	1	as	as	SCONJ
fcis-32158	72	2	shown	show	VERB
fcis-32158	72	3	in	in	ADP
fcis-32158	72	4	table	table	NOUN
fcis-32158	72	5	1	1	NUM
fcis-32158	72	6	,	,	PUNCT
fcis-32158	72	7	the	the	DET
fcis-32158	72	8	yolov8n	yolov8n	NOUN
fcis-32158	72	9	-	-	PUNCT
fcis-32158	72	10	simam	simam	ADJ
fcis-32158	72	11	combined	combined	ADJ
fcis-32158	72	12	model	model	NOUN
fcis-32158	72	13	demonstrates	demonstrate	VERB
fcis-32158	72	14	significant	significant	ADJ
fcis-32158	72	15	advantages	advantage	NOUN
fcis-32158	72	16	in	in	ADP
fcis-32158	72	17	both	both	DET
fcis-32158	72	18	defect	defect	ADJ
fcis-32158	72	19	detection	detection	NOUN
fcis-32158	72	20	categories	category	NOUN
fcis-32158	72	21	:	:	PUNCT
fcis-32158	72	22	the	the	DET
fcis-32158	72	23	overall	overall	ADJ
fcis-32158	72	24	f1	f1	ADJ
fcis-32158	72	25	-	-	PUNCT
fcis-32158	72	26	score	score	NOUN
fcis-32158	72	27	reaches	reach	VERB
fcis-32158	72	28	0.731	0.731	NUM
fcis-32158	72	29	,	,	PUNCT
fcis-32158	72	30	with	with	ADP
fcis-32158	72	31	flash	flash	NOUN
fcis-32158	72	32	detection	detection	NOUN
fcis-32158	72	33	f1	f1	NOUN
fcis-32158	72	34	-	-	PUNCT
fcis-32158	72	35	score	score	NOUN
fcis-32158	72	36	improving	improve	VERB
fcis-32158	72	37	by	by	ADP
fcis-32158	72	38	6.3	6.3	NUM
fcis-32158	72	39	%	%	NOUN
fcis-32158	72	40	and	and	CCONJ
fcis-32158	72	41	slag	slag	NOUN
fcis-32158	72	42	inclusion	inclusion	NOUN
fcis-32158	72	43	detection	detection	NOUN
fcis-32158	72	44	by	by	ADP
fcis-32158	72	45	9.9	9.9	NUM
fcis-32158	72	46	%	%	NOUN
fcis-32158	72	47	.	.	PUNCT
fcis-32158	73	1	this	this	PRON
fcis-32158	73	2	demonstrates	demonstrate	VERB
fcis-32158	73	3	the	the	DET
fcis-32158	73	4	synergistic	synergistic	ADJ
fcis-32158	73	5	effect	effect	NOUN
fcis-32158	73	6	of	of	ADP
fcis-32158	73	7	simam	simam	NOUN
fcis-32158	73	8	's	's	PART
fcis-32158	73	9	3d	3d	NUM
fcis-32158	73	10	attention	attention	NOUN
fcis-32158	73	11	mechanism	mechanism	NOUN
fcis-32158	73	12	.	.	PUNCT
fcis-32158	74	1	table	table	NOUN
fcis-32158	74	2	1	1	NUM
fcis-32158	74	3	.	.	PUNCT
fcis-32158	74	4	comparison	comparison	NOUN
fcis-32158	74	5	of	of	ADP
fcis-32158	74	6	f1	f1	ADJ
fcis-32158	74	7	values	value	NOUN
fcis-32158	74	8	of	of	ADP
fcis-32158	74	9	various	various	ADJ
fcis-32158	74	10	models	model	NOUN
fcis-32158	74	11	in	in	ADP
fcis-32158	74	12	ablation	ablation	NOUN
fcis-32158	74	13	experiments	experiment	NOUN
fcis-32158	74	14	model	model	VERB
fcis-32158	74	15	fin	fin	NOUN
fcis-32158	74	16	slag	slag	NOUN
fcis-32158	74	17	inclusion	inclusion	NOUN
fcis-32158	74	18	overall	overall	ADJ
fcis-32158	74	19	category	category	NOUN
fcis-32158	74	20	yolov8n	yolov8n	VERB
fcis-32158	74	21	0.712	0.712	NUM
fcis-32158	74	22	0.686	0.686	NUM
fcis-32158	74	23	0.699	0.699	NUM
fcis-32158	74	24	yolov8n	yolov8n	NOUN
fcis-32158	74	25	simam	simam	VERB
fcis-32158	74	26	0.731	0.731	NUM
fcis-32158	74	27	0.762	0.762	NUM
fcis-32158	74	28	0.746	0.746	NUM
fcis-32158	74	29	table	table	NOUN
fcis-32158	74	30	2	2	NUM
fcis-32158	74	31	shows	show	VERB
fcis-32158	74	32	the	the	DET
fcis-32158	74	33	detection	detection	NOUN
fcis-32158	74	34	performance	performance	NOUN
fcis-32158	74	35	results	result	NOUN
fcis-32158	74	36	for	for	ADP
fcis-32158	74	37	the	the	DET
fcis-32158	74	38	ap	ap	PROPN
fcis-32158	74	39	and	and	CCONJ
fcis-32158	74	40	map	map	VERB
fcis-32158	74	41	values	value	NOUN
fcis-32158	74	42	for	for	ADP
fcis-32158	74	43	each	each	DET
fcis-32158	74	44	defect	defect	NOUN
fcis-32158	74	45	.	.	PUNCT
fcis-32158	75	1	the	the	DET
fcis-32158	75	2	yolov8n	yolov8n	NOUN
fcis-32158	75	3	-	-	PUNCT
fcis-32158	75	4	simam	simam	NOUN
fcis-32158	75	5	model	model	NOUN
fcis-32158	75	6	achieved	achieve	VERB
fcis-32158	75	7	a	a	DET
fcis-32158	75	8	map	map	NOUN
fcis-32158	75	9	of	of	ADP
fcis-32158	75	10	64.5	64.5	NUM
fcis-32158	75	11	%	%	NOUN
fcis-32158	75	12	for	for	ADP
fcis-32158	75	13	aluminum	aluminum	NOUN
fcis-32158	75	14	ingot	ingot	NOUN
fcis-32158	75	15	surface	surface	NOUN
fcis-32158	75	16	defect	defect	NOUN
fcis-32158	75	17	detection	detection	NOUN
fcis-32158	75	18	,	,	PUNCT
fcis-32158	75	19	a	a	DET
fcis-32158	75	20	9	9	NUM
fcis-32158	75	21	percentage	percentage	NOUN
fcis-32158	75	22	point	point	NOUN
fcis-32158	75	23	improvement	improvement	NOUN
fcis-32158	75	24	over	over	ADP
fcis-32158	75	25	the	the	DET
fcis-32158	75	26	baseline	baseline	NOUN
fcis-32158	75	27	yolov8n	yolov8n	NOUN
fcis-32158	75	28	.	.	PUNCT
fcis-32158	76	1	it	it	PRON
fcis-32158	76	2	also	also	ADV
fcis-32158	76	3	achieved	achieve	VERB
fcis-32158	76	4	an	an	DET
fcis-32158	76	5	8.1	8.1	NUM
fcis-32158	76	6	%	%	NOUN
fcis-32158	76	7	improvement	improvement	NOUN
fcis-32158	76	8	in	in	ADP
fcis-32158	76	9	ap	ap	PROPN
fcis-32158	76	10	for	for	ADP
fcis-32158	76	11	flash	flash	NOUN
fcis-32158	76	12	detection	detection	NOUN
fcis-32158	76	13	and	and	CCONJ
fcis-32158	76	14	a	a	DET
fcis-32158	76	15	10	10	NUM
fcis-32158	76	16	%	%	NOUN
fcis-32158	76	17	improvement	improvement	NOUN
fcis-32158	76	18	in	in	ADP
fcis-32158	76	19	ap	ap	PROPN
fcis-32158	76	20	for	for	ADP
fcis-32158	76	21	slag	slag	NOUN
fcis-32158	76	22	57	57	NUM
fcis-32158	76	23	inclusion	inclusion	NOUN
fcis-32158	76	24	detection	detection	NOUN
fcis-32158	76	25	.	.	PUNCT
fcis-32158	77	1	the	the	DET
fcis-32158	77	2	model	model	NOUN
fcis-32158	77	3	incorporating	incorporate	VERB
fcis-32158	77	4	simam	simam	NOUN
fcis-32158	77	5	alone	alone	ADV
fcis-32158	77	6	achieved	achieve	VERB
fcis-32158	77	7	the	the	DET
fcis-32158	77	8	best	good	ADJ
fcis-32158	77	9	performance	performance	NOUN
fcis-32158	77	10	for	for	ADP
fcis-32158	77	11	slag	slag	NOUN
fcis-32158	77	12	inclusion	inclusion	NOUN
fcis-32158	77	13	detection	detection	NOUN
fcis-32158	77	14	.	.	PUNCT
fcis-32158	78	1	table	table	NOUN
fcis-32158	78	2	2	2	NUM
fcis-32158	78	3	.	.	PUNCT
fcis-32158	78	4	comparison	comparison	NOUN
fcis-32158	78	5	of	of	ADP
fcis-32158	78	6	ap	ap	PROPN
fcis-32158	78	7	and	and	CCONJ
fcis-32158	78	8	map	map	VERB
fcis-32158	78	9	values	value	NOUN
fcis-32158	78	10	among	among	ADP
fcis-32158	78	11	different	different	ADJ
fcis-32158	78	12	models	model	NOUN
fcis-32158	78	13	in	in	ADP
fcis-32158	78	14	ablation	ablation	NOUN
fcis-32158	78	15	experiments	experiment	NOUN
fcis-32158	78	16	model	model	PROPN
fcis-32158	78	17	ap	ap	PROPN
fcis-32158	78	18	(	(	PUNCT
fcis-32158	78	19	%	%	INTJ
fcis-32158	78	20	)	)	PUNCT
fcis-32158	78	21	map@	map@	NOUN
fcis-32158	78	22	fin	fin	NOUN
fcis-32158	78	23	slag	slag	NOUN
fcis-32158	78	24	inclusion	inclusion	NOUN
fcis-32158	78	25	yolov8n	yolov8n	NOUN
fcis-32158	78	26	53.8	53.8	NUM
fcis-32158	78	27	57.1	57.1	NUM
fcis-32158	78	28	55.5	55.5	NUM
fcis-32158	78	29	yolov8nsimam	yolov8nsimam	NOUN
fcis-32158	78	30	61.9	61.9	NUM
fcis-32158	78	31	67.1	67.1	NUM
fcis-32158	78	32	64.5	64.5	NUM
fcis-32158	78	33	to	to	PART
fcis-32158	78	34	investigate	investigate	VERB
fcis-32158	78	35	the	the	DET
fcis-32158	78	36	performance	performance	NOUN
fcis-32158	78	37	differences	difference	NOUN
fcis-32158	78	38	between	between	ADP
fcis-32158	78	39	the	the	DET
fcis-32158	78	40	improved	improved	ADJ
fcis-32158	78	41	yolov8n	yolov8n	NOUN
fcis-32158	78	42	model	model	NOUN
fcis-32158	78	43	and	and	CCONJ
fcis-32158	78	44	other	other	ADJ
fcis-32158	78	45	models	model	NOUN
fcis-32158	78	46	for	for	ADP
fcis-32158	78	47	aluminum	aluminum	NOUN
fcis-32158	78	48	ingot	ingot	NOUN
fcis-32158	78	49	surface	surface	NOUN
fcis-32158	78	50	defect	defect	NOUN
fcis-32158	78	51	detection	detection	NOUN
fcis-32158	78	52	,	,	PUNCT
fcis-32158	78	53	we	we	PRON
fcis-32158	78	54	conducted	conduct	VERB
fcis-32158	78	55	performance	performance	NOUN
fcis-32158	78	56	comparison	comparison	NOUN
fcis-32158	78	57	tests	test	NOUN
fcis-32158	78	58	using	use	VERB
fcis-32158	78	59	the	the	DET
fcis-32158	78	60	yolov5	yolov5	NOUN
fcis-32158	78	61	,	,	PUNCT
fcis-32158	78	62	yolov8n	yolov8n	PROPN
fcis-32158	78	63	,	,	PUNCT
fcis-32158	78	64	yolov8	yolov8	PROPN
fcis-32158	78	65	m	m	PROPN
fcis-32158	78	66	,	,	PUNCT
fcis-32158	78	67	yolov8x	yolov8x	PROPN
fcis-32158	78	68	,	,	PUNCT
fcis-32158	78	69	and	and	CCONJ
fcis-32158	78	70	yolov10n	yolov10n	NOUN
fcis-32158	78	71	detection	detection	NOUN
fcis-32158	78	72	models	model	NOUN
fcis-32158	78	73	.	.	PUNCT
fcis-32158	79	1	table	table	NOUN
fcis-32158	79	2	3	3	NUM
fcis-32158	79	3	shows	show	VERB
fcis-32158	79	4	the	the	DET
fcis-32158	79	5	performance	performance	NOUN
fcis-32158	79	6	results	result	VERB
fcis-32158	79	7	for	for	ADP
fcis-32158	79	8	both	both	DET
fcis-32158	79	9	ap	ap	PROPN
fcis-32158	79	10	and	and	CCONJ
fcis-32158	79	11	map	map	NOUN
fcis-32158	79	12	.	.	PUNCT
fcis-32158	80	1	the	the	DET
fcis-32158	80	2	experimental	experimental	ADJ
fcis-32158	80	3	results	result	NOUN
fcis-32158	80	4	show	show	VERB
fcis-32158	80	5	that	that	SCONJ
fcis-32158	80	6	the	the	DET
fcis-32158	80	7	yolov8n	yolov8n	NOUN
fcis-32158	80	8	-	-	PUNCT
fcis-32158	80	9	simam	simam	ADJ
fcis-32158	80	10	model	model	NOUN
fcis-32158	80	11	achieves	achieve	VERB
fcis-32158	80	12	optimal	optimal	ADJ
fcis-32158	80	13	performance	performance	NOUN
fcis-32158	80	14	in	in	ADP
fcis-32158	80	15	both	both	DET
fcis-32158	80	16	flash	flash	NOUN
fcis-32158	80	17	and	and	CCONJ
fcis-32158	80	18	slag	slag	NOUN
fcis-32158	80	19	inclusion	inclusion	NOUN
fcis-32158	80	20	detection	detection	NOUN
fcis-32158	80	21	tasks	task	NOUN
fcis-32158	80	22	,	,	PUNCT
fcis-32158	80	23	achieving	achieve	VERB
fcis-32158	80	24	aps	ap	NOUN
fcis-32158	80	25	of	of	ADP
fcis-32158	80	26	61.9	61.9	NUM
fcis-32158	80	27	%	%	NOUN
fcis-32158	80	28	and	and	CCONJ
fcis-32158	80	29	67.1	67.1	NUM
fcis-32158	80	30	%	%	NOUN
fcis-32158	80	31	,	,	PUNCT
fcis-32158	80	32	respectively	respectively	ADV
fcis-32158	80	33	,	,	PUNCT
fcis-32158	80	34	and	and	CCONJ
fcis-32158	80	35	map@0.5	map@0.5	PROPN
fcis-32158	80	36	of	of	ADP
fcis-32158	80	37	64.5	64.5	NUM
fcis-32158	80	38	%	%	NOUN
fcis-32158	80	39	,	,	PUNCT
fcis-32158	80	40	significantly	significantly	ADV
fcis-32158	80	41	outperforming	outperform	VERB
fcis-32158	80	42	the	the	DET
fcis-32158	80	43	other	other	ADJ
fcis-32158	80	44	comparison	comparison	NOUN
fcis-32158	80	45	models	model	NOUN
fcis-32158	80	46	.	.	PUNCT
fcis-32158	81	1	in	in	ADP
fcis-32158	81	2	contrast	contrast	NOUN
fcis-32158	81	3	,	,	PUNCT
fcis-32158	81	4	the	the	DET
fcis-32158	81	5	basic	basic	ADJ
fcis-32158	81	6	version	version	NOUN
fcis-32158	81	7	of	of	ADP
fcis-32158	81	8	yolov8n	yolov8n	PROPN
fcis-32158	81	9	achieves	achieve	VERB
fcis-32158	81	10	an	an	DET
fcis-32158	81	11	map@0.5	map@0.5	NOUN
fcis-32158	81	12	of	of	ADP
fcis-32158	81	13	55.5	55.5	NUM
fcis-32158	81	14	%	%	NOUN
fcis-32158	81	15	,	,	PUNCT
fcis-32158	81	16	while	while	SCONJ
fcis-32158	81	17	the	the	DET
fcis-32158	81	18	larger	large	ADJ
fcis-32158	81	19	-	-	PUNCT
fcis-32158	81	20	scale	scale	NOUN
fcis-32158	81	21	yolov8	yolov8	NOUN
fcis-32158	81	22	m	m	PROPN
fcis-32158	81	23	and	and	CCONJ
fcis-32158	81	24	yolov8x	yolov8x	NOUN
fcis-32158	81	25	models	model	NOUN
fcis-32158	81	26	show	show	VERB
fcis-32158	81	27	decreased	decrease	VERB
fcis-32158	81	28	performance	performance	NOUN
fcis-32158	81	29	,	,	PUNCT
fcis-32158	81	30	reaching	reach	VERB
fcis-32158	81	31	45.1	45.1	NUM
fcis-32158	81	32	%	%	NOUN
fcis-32158	81	33	and	and	CCONJ
fcis-32158	81	34	44.7	44.7	NUM
fcis-32158	81	35	%	%	NOUN
fcis-32158	81	36	,	,	PUNCT
fcis-32158	81	37	respectively	respectively	ADV
fcis-32158	81	38	,	,	PUNCT
fcis-32158	81	39	indicating	indicate	VERB
fcis-32158	81	40	that	that	SCONJ
fcis-32158	81	41	model	model	NOUN
fcis-32158	81	42	performance	performance	NOUN
fcis-32158	81	43	does	do	AUX
fcis-32158	81	44	not	not	PART
fcis-32158	81	45	improve	improve	VERB
fcis-32158	81	46	with	with	ADP
fcis-32158	81	47	an	an	DET
fcis-32158	81	48	increase	increase	NOUN
fcis-32158	81	49	in	in	ADP
fcis-32158	81	50	the	the	DET
fcis-32158	81	51	number	number	NOUN
fcis-32158	81	52	of	of	ADP
fcis-32158	81	53	parameters	parameter	NOUN
fcis-32158	81	54	.	.	PUNCT
fcis-32158	82	1	in	in	ADP
fcis-32158	82	2	addition	addition	NOUN
fcis-32158	82	3	,	,	PUNCT
fcis-32158	82	4	the	the	DET
fcis-32158	82	5	performance	performance	NOUN
fcis-32158	82	6	of	of	ADP
fcis-32158	82	7	yolov10n	yolov10n	NOUN
fcis-32158	82	8	(	(	PUNCT
fcis-32158	82	9	50.2	50.2	NUM
fcis-32158	82	10	%	%	NOUN
fcis-32158	82	11	)	)	PUNCT
fcis-32158	82	12	and	and	CCONJ
fcis-32158	82	13	yolov5	yolov5	NOUN
fcis-32158	82	14	(	(	PUNCT
fcis-32158	82	15	47.0	47.0	NUM
fcis-32158	82	16	%	%	NOUN
fcis-32158	82	17	)	)	PUNCT
fcis-32158	82	18	is	be	AUX
fcis-32158	82	19	lower	low	ADJ
fcis-32158	82	20	than	than	ADP
fcis-32158	82	21	that	that	PRON
fcis-32158	82	22	of	of	ADP
fcis-32158	82	23	yolov8n	yolov8n	PROPN
fcis-32158	82	24	,	,	PUNCT
fcis-32158	82	25	which	which	PRON
fcis-32158	82	26	further	far	ADV
fcis-32158	82	27	verifies	verifie	NOUN
fcis-32158	82	28	the	the	DET
fcis-32158	82	29	superiority	superiority	NOUN
fcis-32158	82	30	of	of	ADP
fcis-32158	82	31	yolov8n	yolov8n	NOUN
fcis-32158	82	32	-	-	PUNCT
fcis-32158	82	33	simam	simam	NOUN
fcis-32158	82	34	in	in	ADP
fcis-32158	82	35	small	small	ADJ
fcis-32158	82	36	object	object	NOUN
fcis-32158	82	37	detection	detection	NOUN
fcis-32158	82	38	tasks	task	NOUN
fcis-32158	82	39	.	.	PUNCT
fcis-32158	83	1	table	table	NOUN
fcis-32158	83	2	3	3	NUM
fcis-32158	83	3	.	.	PUNCT
fcis-32158	83	4	comparative	comparative	ADJ
fcis-32158	83	5	experiment	experiment	NOUN
fcis-32158	83	6	on	on	ADP
fcis-32158	83	7	ap	ap	PROPN
fcis-32158	83	8	and	and	CCONJ
fcis-32158	83	9	map	map	VERB
fcis-32158	83	10	values	value	NOUN
fcis-32158	83	11	of	of	ADP
fcis-32158	83	12	different	different	ADJ
fcis-32158	83	13	models	model	NOUN
fcis-32158	83	14	model	model	NOUN
fcis-32158	83	15	ap(%	ap(%	NOUN
fcis-32158	83	16	)	)	PUNCT
fcis-32158	83	17	map@	map@	PROPN
fcis-32158	83	18	0.5(%	0.5(%	NOUN
fcis-32158	83	19	)	)	PUNCT
fcis-32158	83	20	fin	fin	NOUN
fcis-32158	83	21	slag	slag	NOUN
fcis-32158	83	22	inclusion	inclusion	NOUN
fcis-32158	83	23	yolov8n	yolov8n	NOUN
fcis-32158	83	24	-	-	PUNCT
fcis-32158	83	25	simam	simam	NOUN
fcis-32158	83	26	61.9	61.9	NUM
fcis-32158	83	27	67.1	67.1	NUM
fcis-32158	83	28	64.5	64.5	NUM
fcis-32158	83	29	yolov8n	yolov8n	NOUN
fcis-32158	83	30	53.8	53.8	NUM
fcis-32158	83	31	57.1	57.1	NUM
fcis-32158	83	32	55.5	55.5	NUM
fcis-32158	83	33	yolov8	yolov8	NOUN
fcis-32158	83	34	m	m	VERB
fcis-32158	83	35	42.5	42.5	NUM
fcis-32158	83	36	47.7	47.7	NUM
fcis-32158	83	37	45.1	45.1	NUM
fcis-32158	83	38	yolov8x	yolov8x	NOUN
fcis-32158	83	39	42.7	42.7	NUM
fcis-32158	83	40	46.7	46.7	NUM
fcis-32158	83	41	44.7	44.7	NUM
fcis-32158	83	42	yolov10n	yolov10n	NOUN
fcis-32158	83	43	43.4	43.4	NUM
fcis-32158	83	44	57.0	57.0	NUM
fcis-32158	83	45	50.2	50.2	NUM
fcis-32158	83	46	yolov5	yolov5	NOUN
fcis-32158	83	47	44.2	44.2	NUM
fcis-32158	83	48	49.8	49.8	NUM
fcis-32158	83	49	47.0	47.0	NUM
fcis-32158	83	50	the	the	DET
fcis-32158	83	51	f1	f1	ADJ
fcis-32158	83	52	indicators	indicator	NOUN
fcis-32158	83	53	of	of	ADP
fcis-32158	83	54	each	each	DET
fcis-32158	83	55	model	model	NOUN
fcis-32158	83	56	are	be	AUX
fcis-32158	83	57	shown	show	VERB
fcis-32158	83	58	in	in	ADP
fcis-32158	83	59	table	table	NOUN
fcis-32158	83	60	4	4	NUM
fcis-32158	83	61	.	.	PUNCT
fcis-32158	84	1	the	the	DET
fcis-32158	84	2	experimental	experimental	ADJ
fcis-32158	84	3	results	result	NOUN
fcis-32158	84	4	indicate	indicate	VERB
fcis-32158	84	5	that	that	SCONJ
fcis-32158	84	6	the	the	DET
fcis-32158	84	7	yolov8n	yolov8n	PROPN
fcis-32158	84	8	simam	simam	NOUN
fcis-32158	84	9	model	model	NOUN
fcis-32158	84	10	achieves	achieve	VERB
fcis-32158	84	11	the	the	DET
fcis-32158	84	12	best	good	ADJ
fcis-32158	84	13	performance	performance	NOUN
fcis-32158	84	14	in	in	ADP
fcis-32158	84	15	both	both	PRON
fcis-32158	84	16	edge	edge	NOUN
fcis-32158	84	17	and	and	CCONJ
fcis-32158	84	18	slag	slag	NOUN
fcis-32158	84	19	detection	detection	NOUN
fcis-32158	84	20	tasks	task	NOUN
fcis-32158	84	21	,	,	PUNCT
fcis-32158	84	22	with	with	ADP
fcis-32158	84	23	ap	ap	PROPN
fcis-32158	84	24	values	value	NOUN
fcis-32158	84	25	of	of	ADP
fcis-32158	84	26	0.768	0.768	NUM
fcis-32158	84	27	and	and	CCONJ
fcis-32158	84	28	0.759	0.759	NUM
fcis-32158	84	29	,	,	PUNCT
fcis-32158	84	30	respectively	respectively	ADV
fcis-32158	84	31	,	,	PUNCT
fcis-32158	84	32	and	and	CCONJ
fcis-32158	84	33	a	a	DET
fcis-32158	84	34	comprehensive	comprehensive	ADJ
fcis-32158	84	35	map	map	NOUN
fcis-32158	84	36	of	of	ADP
fcis-32158	84	37	0.763	0.763	NUM
fcis-32158	84	38	,	,	PUNCT
fcis-32158	84	39	significantly	significantly	ADV
fcis-32158	84	40	better	well	ADJ
fcis-32158	84	41	than	than	ADP
fcis-32158	84	42	other	other	ADJ
fcis-32158	84	43	compared	compare	VERB
fcis-32158	84	44	models	model	NOUN
fcis-32158	84	45	.	.	PUNCT
fcis-32158	85	1	in	in	ADP
fcis-32158	85	2	contrast	contrast	NOUN
fcis-32158	85	3	,	,	PUNCT
fcis-32158	85	4	the	the	DET
fcis-32158	85	5	map	map	NOUN
fcis-32158	85	6	of	of	ADP
fcis-32158	85	7	the	the	DET
fcis-32158	85	8	basic	basic	ADJ
fcis-32158	85	9	version	version	NOUN
fcis-32158	85	10	yolov8n	yolov8n	NOUN
fcis-32158	85	11	is	be	AUX
fcis-32158	85	12	0.699	0.699	NUM
fcis-32158	85	13	,	,	PUNCT
fcis-32158	85	14	while	while	SCONJ
fcis-32158	85	15	the	the	DET
fcis-32158	85	16	performance	performance	NOUN
fcis-32158	85	17	of	of	ADP
fcis-32158	85	18	larger	large	ADJ
fcis-32158	85	19	yolov8	yolov8	NOUN
fcis-32158	85	20	m	m	PROPN
fcis-32158	85	21	and	and	CCONJ
fcis-32158	85	22	yolov8x	yolov8x	PROPN
fcis-32158	85	23	decreases	decrease	VERB
fcis-32158	85	24	,	,	PUNCT
fcis-32158	85	25	only	only	ADV
fcis-32158	85	26	0.602	0.602	NUM
fcis-32158	85	27	and	and	CCONJ
fcis-32158	85	28	0.566	0.566	NUM
fcis-32158	85	29	,	,	PUNCT
fcis-32158	85	30	respectively	respectively	ADV
fcis-32158	85	31	,	,	PUNCT
fcis-32158	85	32	indicating	indicate	VERB
fcis-32158	85	33	that	that	SCONJ
fcis-32158	85	34	the	the	DET
fcis-32158	85	35	model	model	NOUN
fcis-32158	85	36	performance	performance	NOUN
fcis-32158	85	37	does	do	AUX
fcis-32158	85	38	not	not	PART
fcis-32158	85	39	improve	improve	VERB
fcis-32158	85	40	with	with	ADP
fcis-32158	85	41	an	an	DET
fcis-32158	85	42	increase	increase	NOUN
fcis-32158	85	43	in	in	ADP
fcis-32158	85	44	the	the	DET
fcis-32158	85	45	number	number	NOUN
fcis-32158	85	46	of	of	ADP
fcis-32158	85	47	parameters	parameter	NOUN
fcis-32158	85	48	.	.	PUNCT
fcis-32158	86	1	in	in	ADP
fcis-32158	86	2	addition	addition	NOUN
fcis-32158	86	3	,	,	PUNCT
fcis-32158	86	4	although	although	SCONJ
fcis-32158	86	5	yolov10n	yolov10n	NOUN
fcis-32158	86	6	(	(	PUNCT
fcis-32158	86	7	0.628	0.628	NUM
fcis-32158	86	8	)	)	PUNCT
fcis-32158	86	9	and	and	CCONJ
fcis-32158	86	10	yolov5	yolov5	NOUN
fcis-32158	86	11	(	(	PUNCT
fcis-32158	86	12	0.639	0.639	NUM
fcis-32158	86	13	)	)	PUNCT
fcis-32158	86	14	perform	perform	VERB
fcis-32158	86	15	better	well	ADV
fcis-32158	86	16	than	than	ADP
fcis-32158	86	17	yolov8	yolov8	PROPN
fcis-32158	86	18	m	m	PROPN
fcis-32158	86	19	and	and	CCONJ
fcis-32158	86	20	yolov8x	yolov8x	PROPN
fcis-32158	86	21	,	,	PUNCT
fcis-32158	86	22	they	they	PRON
fcis-32158	86	23	are	be	AUX
fcis-32158	86	24	still	still	ADV
fcis-32158	86	25	inferior	inferior	ADJ
fcis-32158	86	26	to	to	ADP
fcis-32158	86	27	yolov8n	yolov8n	PROPN
fcis-32158	86	28	and	and	CCONJ
fcis-32158	86	29	its	its	PRON
fcis-32158	86	30	simam	simam	NOUN
fcis-32158	86	31	improved	improve	VERB
fcis-32158	86	32	version	version	NOUN
fcis-32158	86	33	,	,	PUNCT
fcis-32158	86	34	further	far	ADV
fcis-32158	86	35	verifying	verify	VERB
fcis-32158	86	36	the	the	DET
fcis-32158	86	37	effectiveness	effectiveness	NOUN
fcis-32158	86	38	of	of	ADP
fcis-32158	86	39	attention	attention	NOUN
fcis-32158	86	40	mechanism	mechanism	NOUN
fcis-32158	86	41	in	in	ADP
fcis-32158	86	42	improving	improve	VERB
fcis-32158	86	43	the	the	DET
fcis-32158	86	44	accuracy	accuracy	NOUN
fcis-32158	86	45	of	of	ADP
fcis-32158	86	46	small	small	ADJ
fcis-32158	86	47	object	object	NOUN
fcis-32158	86	48	detection	detection	NOUN
fcis-32158	86	49	.	.	PUNCT
fcis-32158	87	1	table	table	NOUN
fcis-32158	87	2	4	4	NUM
fcis-32158	87	3	.	.	PUNCT
fcis-32158	87	4	comparison	comparison	NOUN
fcis-32158	87	5	of	of	ADP
fcis-32158	87	6	f1	f1	ADJ
fcis-32158	87	7	values	value	NOUN
fcis-32158	87	8	of	of	ADP
fcis-32158	87	9	various	various	ADJ
fcis-32158	87	10	models	model	NOUN
fcis-32158	87	11	in	in	ADP
fcis-32158	87	12	ablation	ablation	NOUN
fcis-32158	87	13	experiments	experiment	NOUN
fcis-32158	87	14	model	model	VERB
fcis-32158	87	15	fin	fin	NOUN
fcis-32158	87	16	slag	slag	NOUN
fcis-32158	87	17	inclusion	inclusion	NOUN
fcis-32158	87	18	overall	overall	ADJ
fcis-32158	87	19	category	category	NOUN
fcis-32158	87	20	yolov8nsimam	yolov8nsimam	VERB
fcis-32158	87	21	0.731	0.731	NUM
fcis-32158	87	22	0.762	0.762	NUM
fcis-32158	87	23	0.746	0.746	NUM
fcis-32158	87	24	yolov8n	yolov8n	NOUN
fcis-32158	87	25	0.712	0.712	NUM
fcis-32158	87	26	0.686	0.686	NUM
fcis-32158	87	27	0.699	0.699	NUM
fcis-32158	87	28	yolov8	yolov8	NOUN
fcis-32158	87	29	m	m	VERB
fcis-32158	87	30	0.582	0.582	NUM
fcis-32158	87	31	0.623	0.623	NUM
fcis-32158	87	32	0.602	0.602	NUM
fcis-32158	87	33	yolov8x	yolov8x	NOUN
fcis-32158	87	34	0.547	0.547	NUM
fcis-32158	87	35	0.586	0.586	NUM
fcis-32158	87	36	0.566	0.566	NUM
fcis-32158	87	37	yolov10n	yolov10n	NOUN
fcis-32158	87	38	0.591	0.591	NUM
fcis-32158	87	39	0.665	0.665	NUM
fcis-32158	87	40	0.628	0.628	NUM
fcis-32158	87	41	yolov5	yolov5	NOUN
fcis-32158	87	42	0.626	0.626	NUM
fcis-32158	87	43	0.653	0.653	NUM
fcis-32158	87	44	0.639	0.639	NUM
fcis-32158	87	45	5	5	NUM
fcis-32158	87	46	.	.	PUNCT
fcis-32158	88	1	experiment	experiment	NOUN
fcis-32158	88	2	this	this	DET
fcis-32158	88	3	article	article	NOUN
fcis-32158	88	4	proposes	propose	VERB
fcis-32158	88	5	an	an	DET
fcis-32158	88	6	intelligent	intelligent	ADJ
fcis-32158	88	7	detection	detection	NOUN
fcis-32158	88	8	method	method	NOUN
fcis-32158	88	9	for	for	ADP
fcis-32158	88	10	surface	surface	NOUN
fcis-32158	88	11	defects	defect	NOUN
fcis-32158	88	12	of	of	ADP
fcis-32158	88	13	aluminum	aluminum	NOUN
fcis-32158	88	14	ingots	ingot	NOUN
fcis-32158	88	15	based	base	VERB
fcis-32158	88	16	on	on	ADP
fcis-32158	88	17	an	an	DET
fcis-32158	88	18	improved	improved	ADJ
fcis-32158	88	19	yolov8n	yolov8n	NOUN
fcis-32158	88	20	architecture	architecture	NOUN
fcis-32158	88	21	.	.	PUNCT
fcis-32158	89	1	by	by	ADP
fcis-32158	89	2	introducing	introduce	VERB
fcis-32158	89	3	a	a	DET
fcis-32158	89	4	parameter	parameter	NOUN
fcis-32158	89	5	free	free	ADJ
fcis-32158	89	6	simam	simam	ADJ
fcis-32158	89	7	three	three	NUM
fcis-32158	89	8	-	-	PUNCT
fcis-32158	89	9	dimensional	dimensional	ADJ
fcis-32158	89	10	attention	attention	NOUN
fcis-32158	89	11	mechanism	mechanism	NOUN
fcis-32158	89	12	,	,	PUNCT
fcis-32158	89	13	it	it	PRON
fcis-32158	89	14	effectively	effectively	ADV
fcis-32158	89	15	solves	solve	VERB
fcis-32158	89	16	the	the	DET
fcis-32158	89	17	detection	detection	NOUN
fcis-32158	89	18	problem	problem	NOUN
fcis-32158	89	19	of	of	ADP
fcis-32158	89	20	small	small	ADJ
fcis-32158	89	21	targets	target	NOUN
fcis-32158	89	22	and	and	CCONJ
fcis-32158	89	23	diverse	diverse	ADJ
fcis-32158	89	24	defects	defect	NOUN
fcis-32158	89	25	.	.	PUNCT
fcis-32158	90	1	a	a	DET
fcis-32158	90	2	high	high	ADJ
fcis-32158	90	3	-	-	PUNCT
fcis-32158	90	4	definition	definition	NOUN
fcis-32158	90	5	aluminum	aluminum	NOUN
fcis-32158	90	6	ingot	ingot	NOUN
fcis-32158	90	7	defect	defect	NOUN
fcis-32158	90	8	dataset	dataset	NOUN
fcis-32158	90	9	based	base	VERB
fcis-32158	90	10	on	on	ADP
fcis-32158	90	11	actual	actual	ADJ
fcis-32158	90	12	production	production	NOUN
fcis-32158	90	13	lines	line	NOUN
fcis-32158	90	14	was	be	AUX
fcis-32158	90	15	constructed	construct	VERB
fcis-32158	90	16	,	,	PUNCT
fcis-32158	90	17	and	and	CCONJ
fcis-32158	90	18	simam	simam	NOUN
fcis-32158	90	19	module	module	NOUN
fcis-32158	90	20	was	be	AUX
fcis-32158	90	21	integrated	integrate	VERB
fcis-32158	90	22	into	into	ADP
fcis-32158	90	23	the	the	DET
fcis-32158	90	24	network	network	NOUN
fcis-32158	90	25	backbone	backbone	NOUN
fcis-32158	90	26	layer	layer	NOUN
fcis-32158	90	27	,	,	PUNCT
fcis-32158	90	28	significantly	significantly	ADV
fcis-32158	90	29	improving	improve	VERB
fcis-32158	90	30	the	the	DET
fcis-32158	90	31	feature	feature	NOUN
fcis-32158	90	32	extraction	extraction	NOUN
fcis-32158	90	33	ability	ability	NOUN
fcis-32158	90	34	of	of	ADP
fcis-32158	90	35	the	the	DET
fcis-32158	90	36	model	model	NOUN
fcis-32158	90	37	.	.	PUNCT
fcis-32158	91	1	the	the	DET
fcis-32158	91	2	experimental	experimental	ADJ
fcis-32158	91	3	results	result	NOUN
fcis-32158	91	4	showed	show	VERB
fcis-32158	91	5	that	that	SCONJ
fcis-32158	91	6	the	the	DET
fcis-32158	91	7	improved	improved	ADJ
fcis-32158	91	8	yolov8n	yolov8n	NOUN
fcis-32158	91	9	simam	simam	NOUN
fcis-32158	91	10	model	model	NOUN
fcis-32158	91	11	achieved	achieve	VERB
fcis-32158	91	12	a	a	DET
fcis-32158	91	13	map	map	NOUN
fcis-32158	91	14	of	of	ADP
fcis-32158	91	15	64.5	64.5	NUM
fcis-32158	91	16	%	%	NOUN
fcis-32158	91	17	in	in	ADP
fcis-32158	91	18	aluminum	aluminum	NOUN
fcis-32158	91	19	ingot	ingot	NOUN
fcis-32158	91	20	surface	surface	NOUN
fcis-32158	91	21	defect	defect	NOUN
fcis-32158	91	22	detection	detection	NOUN
fcis-32158	91	23	,	,	PUNCT
fcis-32158	91	24	which	which	PRON
fcis-32158	91	25	was	be	AUX
fcis-32158	91	26	9	9	NUM
fcis-32158	91	27	percentage	percentage	NOUN
fcis-32158	91	28	points	point	NOUN
fcis-32158	91	29	higher	high	ADJ
fcis-32158	91	30	than	than	ADP
fcis-32158	91	31	the	the	DET
fcis-32158	91	32	baseline	baseline	NOUN
fcis-32158	91	33	model	model	NOUN
fcis-32158	91	34	.	.	PUNCT
fcis-32158	92	1	the	the	DET
fcis-32158	92	2	f1	f1	PROPN
fcis-32158	92	3	scores	score	NOUN
fcis-32158	92	4	of	of	ADP
fcis-32158	92	5	burrs	burrs	NOUN
fcis-32158	92	6	and	and	CCONJ
fcis-32158	92	7	slag	slag	NOUN
fcis-32158	92	8	inclusion	inclusion	NOUN
fcis-32158	92	9	defects	defect	NOUN
fcis-32158	92	10	increased	increase	VERB
fcis-32158	92	11	by	by	ADP
fcis-32158	92	12	6.3	6.3	NUM
fcis-32158	92	13	%	%	NOUN
fcis-32158	92	14	and	and	CCONJ
fcis-32158	92	15	9.9	9.9	NUM
fcis-32158	92	16	%	%	NOUN
fcis-32158	92	17	,	,	PUNCT
fcis-32158	92	18	respectively	respectively	ADV
fcis-32158	92	19	.	.	PUNCT
fcis-32158	93	1	compared	compare	VERB
fcis-32158	93	2	with	with	ADP
fcis-32158	93	3	mainstream	mainstream	NOUN
fcis-32158	93	4	models	model	NOUN
fcis-32158	93	5	such	such	ADJ
fcis-32158	93	6	as	as	ADP
fcis-32158	93	7	yolov5	yolov5	NOUN
fcis-32158	93	8	and	and	CCONJ
fcis-32158	93	9	yolov8	yolov8	PROPN
fcis-32158	93	10	m	m	PROPN
fcis-32158	93	11	,	,	PUNCT
fcis-32158	93	12	this	this	DET
fcis-32158	93	13	method	method	NOUN
fcis-32158	93	14	shows	show	VERB
fcis-32158	93	15	significant	significant	ADJ
fcis-32158	93	16	advantages	advantage	NOUN
fcis-32158	93	17	in	in	ADP
fcis-32158	93	18	detection	detection	NOUN
fcis-32158	93	19	accuracy	accuracy	NOUN
fcis-32158	93	20	and	and	CCONJ
fcis-32158	93	21	computational	computational	ADJ
fcis-32158	93	22	efficiency	efficiency	NOUN
fcis-32158	93	23	,	,	PUNCT
fcis-32158	93	24	providing	provide	VERB
fcis-32158	93	25	a	a	DET
fcis-32158	93	26	reliable	reliable	ADJ
fcis-32158	93	27	technical	technical	ADJ
fcis-32158	93	28	solution	solution	NOUN
fcis-32158	93	29	for	for	ADP
fcis-32158	93	30	the	the	DET
fcis-32158	93	31	intelligent	intelligent	ADJ
fcis-32158	93	32	manufacturing	manufacturing	NOUN
fcis-32158	93	33	quality	quality	NOUN
fcis-32158	93	34	monitoring	monitoring	NOUN
fcis-32158	93	35	system	system	NOUN
fcis-32158	93	36	of	of	ADP
fcis-32158	93	37	aluminum	aluminum	NOUN
fcis-32158	93	38	ingots	ingot	NOUN
fcis-32158	93	39	.	.	PUNCT
fcis-32158	94	1	references	reference	NOUN
fcis-32158	94	2	[	[	X
fcis-32158	94	3	1	1	NUM
fcis-32158	94	4	]	]	X
fcis-32158	94	5	mery	mery	PROPN
fcis-32158	94	6	d.	d.	PROPN
fcis-32158	94	7	aluminum	aluminum	PROPN
fcis-32158	94	8	casting	casting	NOUN
fcis-32158	94	9	inspection	inspection	NOUN
fcis-32158	94	10	using	use	VERB
fcis-32158	94	11	deep	deep	ADJ
fcis-32158	94	12	object	object	NOUN
fcis-32158	94	13	detection	detection	NOUN
fcis-32158	94	14	methods	method	NOUN
fcis-32158	94	15	and	and	CCONJ
fcis-32158	94	16	simulated	simulate	VERB
fcis-32158	94	17	ellipsoidal	ellipsoidal	ADJ
fcis-32158	94	18	defects	defect	NOUN
fcis-32158	94	19	.	.	PUNCT
fcis-32158	95	1	machine	machine	NOUN
fcis-32158	95	2	vision	vision	NOUN
fcis-32158	95	3	and	and	CCONJ
fcis-32158	95	4	applications	application	NOUN
fcis-32158	95	5	.	.	PUNCT
fcis-32158	96	1	2021	2021	NUM
fcis-32158	96	2	may;32(3):72	may;32(3):72	NOUN
fcis-32158	96	3	.	.	PUNCT
fcis-32158	97	1	[	[	X
fcis-32158	97	2	2	2	X
fcis-32158	97	3	]	]	X
fcis-32158	97	4	chen	chen	PROPN
fcis-32158	97	5	t	t	PROPN
fcis-32158	97	6	,	,	PUNCT
fcis-32158	97	7	cai	cai	PROPN
fcis-32158	97	8	c	c	X
fcis-32158	97	9	,	,	PUNCT
fcis-32158	97	10	zhang	zhang	PROPN
fcis-32158	97	11	j	j	PROPN
fcis-32158	97	12	,	,	PUNCT
fcis-32158	97	13	dong	dong	PROPN
fcis-32158	97	14	y	y	PROPN
fcis-32158	97	15	,	,	PUNCT
fcis-32158	97	16	yang	yang	PROPN
fcis-32158	97	17	m	m	PROPN
fcis-32158	97	18	,	,	PUNCT
fcis-32158	97	19	wang	wang	PROPN
fcis-32158	97	20	d	d	PROPN
fcis-32158	97	21	,	,	PUNCT
fcis-32158	97	22	yang	yang	PROPN
fcis-32158	97	23	j	j	PROPN
fcis-32158	97	24	,	,	PUNCT
fcis-32158	97	25	liang	liang	PROPN
fcis-32158	97	26	c.	c.	PROPN
fcis-32158	97	27	rer	rer	PROPN
fcis-32158	97	28	-	-	PROPN
fcis-32158	97	29	yolo	yolo	PROPN
fcis-32158	97	30	:	:	PUNCT
fcis-32158	97	31	improved	improve	VERB
fcis-32158	97	32	method	method	NOUN
fcis-32158	97	33	for	for	ADP
fcis-32158	97	34	surface	surface	NOUN
fcis-32158	97	35	defect	defect	NOUN
fcis-32158	97	36	detection	detection	NOUN
fcis-32158	97	37	of	of	ADP
fcis-32158	97	38	aluminum	aluminum	NOUN
fcis-32158	97	39	ingot	ingot	NOUN
fcis-32158	97	40	alloy	alloy	NOUN
fcis-32158	97	41	based	base	VERB
fcis-32158	97	42	on	on	ADP
fcis-32158	97	43	yolov5	yolov5	NOUN
fcis-32158	97	44	.	.	PUNCT
fcis-32158	98	1	optics	optic	NOUN
fcis-32158	98	2	express	express	VERB
fcis-32158	98	3	.	.	PUNCT
fcis-32158	99	1	2024	2024	NUM
fcis-32158	99	2	feb	feb	PROPN
fcis-32158	99	3	27;32(6):8763	27;32(6):8763	NUM
fcis-32158	99	4	-	-	SYM
fcis-32158	99	5	77	77	NUM
fcis-32158	99	6	.	.	PUNCT
fcis-32158	100	1	[	[	X
fcis-32158	100	2	3	3	X
fcis-32158	100	3	]	]	X
fcis-32158	100	4	chen	chen	PROPN
fcis-32158	100	5	h	h	PROPN
fcis-32158	100	6	,	,	PUNCT
fcis-32158	100	7	yan	yan	PROPN
fcis-32158	101	1	f	f	PROPN
fcis-32158	101	2	,	,	PUNCT
fcis-32158	101	3	yang	yang	PROPN
fcis-32158	101	4	j	j	PROPN
fcis-32158	101	5	,	,	PUNCT
fcis-32158	101	6	yan	yan	PROPN
fcis-32158	101	7	j	j	PROPN
fcis-32158	101	8	,	,	PUNCT
fcis-32158	101	9	qin	qin	PROPN
fcis-32158	101	10	t	t	PROPN
fcis-32158	101	11	,	,	PUNCT
fcis-32158	101	12	zhang	zhang	PROPN
fcis-32158	101	13	j.	j.	PROPN
fcis-32158	101	14	real	real	ADJ
fcis-32158	101	15	-	-	PUNCT
fcis-32158	101	16	time	time	NOUN
fcis-32158	101	17	surface	surface	NOUN
fcis-32158	101	18	defect	defect	NOUN
fcis-32158	101	19	detection	detection	NOUN
fcis-32158	101	20	algorithm	algorithm	NOUN
fcis-32158	101	21	on	on	ADP
fcis-32158	101	22	aluminum	aluminum	NOUN
fcis-32158	101	23	ingot	ingot	NOUN
fcis-32158	101	24	alloy	alloy	NOUN
fcis-32158	101	25	casting	cast	VERB
fcis-32158	101	26	lines	line	NOUN
fcis-32158	101	27	.	.	PUNCT
fcis-32158	102	1	physica	physica	PROPN
fcis-32158	102	2	scripta	scripta	PROPN
fcis-32158	102	3	.	.	PROPN
fcis-32158	103	1	2024	2024	NUM
fcis-32158	103	2	dec	dec	PROPN
fcis-32158	103	3	31;100(1):016018	31;100(1):016018	NUM
fcis-32158	103	4	.	.	PUNCT
fcis-32158	104	1	[	[	X
fcis-32158	104	2	4	4	X
fcis-32158	104	3	]	]	X
fcis-32158	104	4	liu	liu	PROPN
fcis-32158	104	5	gx	gx	PROPN
fcis-32158	104	6	,	,	PUNCT
fcis-32158	104	7	liao	liao	PROPN
fcis-32158	104	8	p	p	PROPN
fcis-32158	104	9	,	,	PUNCT
fcis-32158	104	10	yang	yang	PROPN
fcis-32158	104	11	n	n	PROPN
fcis-32158	104	12	x.	x.	NOUN
fcis-32158	104	13	active	active	ADJ
fcis-32158	104	14	vision	vision	NOUN
fcis-32158	104	15	methodfor	methodfor	ADP
fcis-32158	104	16	pressure	pressure	NOUN
fcis-32158	104	17	vessel	vessel	NOUN
fcis-32158	104	18	weld	weld	NOUN
fcis-32158	104	19	quality	quality	NOUN
fcis-32158	104	20	parameter	parameter	NOUN
fcis-32158	104	21	detectionbased	detectionbase	VERB
fcis-32158	104	22	on	on	ADP
fcis-32158	104	23	deep	deep	ADJ
fcis-32158	104	24	learning	learning	NOUN
fcis-32158	105	1	[	[	X
fcis-32158	105	2	j	j	X
fcis-32158	105	3	]	]	X
fcis-32158	105	4	.	.	PUNCT
fcis-32158	106	1	chinese	chinese	ADJ
fcis-32158	106	2	journal	journal	PROPN
fcis-32158	106	3	of	of	ADP
fcis-32158	106	4	scientific	scientific	ADJ
fcis-32158	106	5	instrument,2023,44(5	instrument,2023,44(5	NOUN
fcis-32158	106	6	):	):	PUNCT
fcis-32158	106	7	1	1	NUM
fcis-32158	106	8	-	-	SYM
fcis-32158	106	9	9	9	NUM
fcis-32158	106	10	.	.	PUNCT
fcis-32158	107	1	[	[	X
fcis-32158	107	2	5	5	X
fcis-32158	107	3	]	]	PUNCT
fcis-32158	107	4	zhuxi	zhuxi	PROPN
fcis-32158	107	5	ma	ma	PROPN
fcis-32158	107	6	,	,	PUNCT
fcis-32158	107	7	li	li	PROPN
fcis-32158	107	8	y	y	PROPN
fcis-32158	107	9	,	,	PUNCT
fcis-32158	107	10	huang	huang	PROPN
fcis-32158	107	11	m	m	PROPN
fcis-32158	107	12	,	,	PUNCT
fcis-32158	107	13	huang	huang	PROPN
fcis-32158	107	14	q	q	PROPN
fcis-32158	107	15	,	,	PUNCT
fcis-32158	107	16	cheng	cheng	PROPN
fcis-32158	107	17	j	j	PROPN
fcis-32158	107	18	,	,	PUNCT
fcis-32158	107	19	tang	tang	PROPN
fcis-32158	107	20	s.	s.	PROPN
fcis-32158	107	21	a	a	DET
fcis-32158	107	22	lightweight	lightweight	ADJ
fcis-32158	107	23	detector	detector	NOUN
fcis-32158	107	24	based	base	VERB
fcis-32158	107	25	on	on	ADP
fcis-32158	107	26	attention	attention	NOUN
fcis-32158	107	27	mechanism	mechanism	NOUN
fcis-32158	107	28	for	for	ADP
fcis-32158	107	29	aluminum	aluminum	NOUN
fcis-32158	107	30	strip	strip	NOUN
fcis-32158	107	31	surface	surface	NOUN
fcis-32158	107	32	defect	defect	NOUN
fcis-32158	107	33	detection	detection	NOUN
fcis-32158	107	34	.	.	PUNCT
fcis-32158	108	1	computers	computer	NOUN
fcis-32158	108	2	in	in	ADP
fcis-32158	108	3	industry	industry	NOUN
fcis-32158	108	4	.	.	PUNCT
fcis-32158	109	1	2022	2022	NUM
fcis-32158	109	2	apr	apr	PROPN
fcis-32158	109	3	1;136:103585	1;136:103585	NUM
fcis-32158	109	4	.	.	PUNCT
fcis-32158	110	1	[	[	X
fcis-32158	110	2	6	6	NUM
fcis-32158	110	3	]	]	X
fcis-32158	110	4	zhu	zhu	PROPN
fcis-32158	110	5	x	x	SYM
fcis-32158	110	6	,	,	PUNCT
fcis-32158	110	7	liu	liu	PROPN
fcis-32158	110	8	j	j	PROPN
fcis-32158	110	9	,	,	PUNCT
fcis-32158	110	10	zhou	zhou	PROPN
fcis-32158	110	11	x	x	PROPN
fcis-32158	110	12	,	,	PUNCT
fcis-32158	110	13	qian	qian	PROPN
fcis-32158	110	14	s	s	PROPN
fcis-32158	110	15	,	,	PUNCT
fcis-32158	110	16	yu	yu	PROPN
fcis-32158	110	17	j.	j.	PROPN
fcis-32158	110	18	enhanced	enhance	VERB
fcis-32158	110	19	feature	feature	NOUN
fcis-32158	110	20	fusion	fusion	NOUN
fcis-32158	110	21	structure	structure	NOUN
fcis-32158	110	22	of	of	ADP
fcis-32158	110	23	yolo	yolo	ADJ
fcis-32158	110	24	v5	v5	PROPN
fcis-32158	110	25	for	for	ADP
fcis-32158	110	26	detecting	detect	VERB
fcis-32158	110	27	small	small	ADJ
fcis-32158	110	28	defects	defect	NOUN
fcis-32158	110	29	on	on	ADP
fcis-32158	110	30	metal	metal	NOUN
fcis-32158	110	31	surfaces	surface	NOUN
fcis-32158	110	32	.	.	PUNCT
fcis-32158	111	1	international	international	ADJ
fcis-32158	111	2	journal	journal	PROPN
fcis-32158	111	3	of	of	ADP
fcis-32158	111	4	machine	machine	NOUN
fcis-32158	111	5	learning	learning	NOUN
fcis-32158	111	6	and	and	CCONJ
fcis-32158	111	7	cybernetics	cybernetic	NOUN
fcis-32158	111	8	.	.	PUNCT
fcis-32158	112	1	2023	2023	NUM
fcis-32158	112	2	jun;14(6):2041	jun;14(6):2041	PROPN
fcis-32158	112	3	-	-	SYM
fcis-32158	112	4	51	51	NUM
fcis-32158	112	5	.	.	PUNCT
fcis-32158	113	1	[	[	X
fcis-32158	113	2	7	7	X
fcis-32158	113	3	]	]	X
fcis-32158	113	4	zhang	zhang	PROPN
fcis-32158	113	5	r	r	PROPN
fcis-32158	113	6	,	,	PUNCT
fcis-32158	113	7	wen	wen	PROPN
fcis-32158	113	8	c	c	PROPN
fcis-32158	113	9	.sod‐yolo	.sod‐yolo	PROPN
fcis-32158	113	10	:	:	PUNCT
fcis-32158	113	11	a	a	DET
fcis-32158	113	12	small	small	ADJ
fcis-32158	113	13	target	target	NOUN
fcis-32158	113	14	defect	defect	NOUN
fcis-32158	113	15	detection	detection	NOUN
fcis-32158	113	16	algorithm	algorithm	NOUN
fcis-32158	113	17	for	for	ADP
fcis-32158	113	18	wind	wind	NOUN
fcis-32158	113	19	turbine	turbine	NOUN
fcis-32158	113	20	blades	blade	NOUN
fcis-32158	113	21	based	base	VERB
fcis-32158	113	22	on	on	ADP
fcis-32158	113	23	improved	improved	ADJ
fcis-32158	113	24	yolov5	yolov5	NOUN
fcis-32158	113	25	.	.	PUNCT
fcis-32158	114	1	advanced	advanced	ADJ
fcis-32158	114	2	theory	theory	NOUN
fcis-32158	114	3	and	and	CCONJ
fcis-32158	114	4	simulations	simulation	NOUN
fcis-32158	114	5	,	,	PUNCT
fcis-32158	114	6	2022	2022	NUM
fcis-32158	114	7	,	,	PUNCT
fcis-32158	114	8	5	5	NUM
fcis-32158	114	9	.	.	PUNCT
fcis-32158	115	1	[	[	X
fcis-32158	115	2	8	8	NUM
fcis-32158	115	3	]	]	X
fcis-32158	115	4	yang	yang	PROPN
fcis-32158	115	5	r	r	PROPN
fcis-32158	115	6	,	,	PUNCT
fcis-32158	115	7	li	li	PROPN
fcis-32158	115	8	w	w	PROPN
fcis-32158	115	9	,	,	PUNCT
fcis-32158	115	10	shang	shang	PROPN
fcis-32158	115	11	x	x	PROPN
fcis-32158	115	12	,	,	PUNCT
fcis-32158	115	13	zhu	zhu	PROPN
fcis-32158	115	14	d	d	NOUN
fcis-32158	115	15	,	,	PUNCT
fcis-32158	115	16	man	man	NOUN
fcis-32158	115	17	x.	x.	PROPN
fcis-32158	115	18	kpe	kpe	PROPN
fcis-32158	115	19	-	-	PUNCT
fcis-32158	115	20	yolov5	yolov5	PROPN
fcis-32158	115	21	:	:	PUNCT
fcis-32158	115	22	an	an	DET
fcis-32158	115	23	improved	improved	ADJ
fcis-32158	115	24	small	small	ADJ
fcis-32158	115	25	target	target	NOUN
fcis-32158	115	26	detection	detection	NOUN
fcis-32158	115	27	algorithm	algorithm	NOUN
fcis-32158	115	28	based	base	VERB
fcis-32158	115	29	on	on	ADP
fcis-32158	115	30	yolov5	yolov5	PROPN
fcis-32158	115	31	.	.	PUNCT
fcis-32158	116	1	electronics	electronic	NOUN
fcis-32158	116	2	.	.	PUNCT
fcis-32158	117	1	2023	2023	NUM
fcis-32158	117	2	feb	feb	PROPN
fcis-32158	117	3	6;12(4):817	6;12(4):817	NUM
fcis-32158	117	4	.	.	PUNCT
fcis-32158	118	1	58	58	NUM
fcis-32158	119	1	[	[	X
fcis-32158	119	2	9	9	NUM
fcis-32158	119	3	]	]	X
fcis-32158	119	4	nascimento	nascimento	PROPN
fcis-32158	119	5	r	r	PROPN
fcis-32158	119	6	,	,	PUNCT
fcis-32158	119	7	ferreira	ferreira	PROPN
fcis-32158	119	8	t	t	PROPN
fcis-32158	119	9	,	,	PUNCT
fcis-32158	119	10	rocha	rocha	PROPN
fcis-32158	119	11	cd	cd	PROPN
fcis-32158	119	12	,	,	PUNCT
fcis-32158	119	13	filipe	filipe	PROPN
fcis-32158	119	14	v	v	PROPN
fcis-32158	119	15	,	,	PUNCT
fcis-32158	119	16	silva	silva	PROPN
fcis-32158	119	17	mf	mf	PROPN
fcis-32158	119	18	,	,	PUNCT
fcis-32158	119	19	veiga	veiga	ADJ
fcis-32158	119	20	g	g	PROPN
fcis-32158	119	21	,	,	PUNCT
fcis-32158	119	22	rocha	rocha	PROPN
fcis-32158	119	23	l.	l.	PROPN
fcis-32158	119	24	quality	quality	PROPN
fcis-32158	119	25	inspection	inspection	NOUN
fcis-32158	119	26	in	in	ADP
fcis-32158	119	27	casting	cast	VERB
fcis-32158	119	28	aluminum	aluminum	NOUN
fcis-32158	119	29	parts	part	NOUN
fcis-32158	119	30	:	:	PUNCT
fcis-32158	119	31	a	a	DET
fcis-32158	119	32	machine	machine	NOUN
fcis-32158	119	33	vision	vision	NOUN
fcis-32158	119	34	system	system	NOUN
fcis-32158	119	35	for	for	ADP
fcis-32158	119	36	filings	filing	NOUN
fcis-32158	119	37	detection	detection	NOUN
fcis-32158	119	38	and	and	CCONJ
fcis-32158	119	39	hole	hole	NOUN
fcis-32158	119	40	inspection	inspection	NOUN
fcis-32158	119	41	.	.	PUNCT
fcis-32158	120	1	journal	journal	NOUN
fcis-32158	120	2	of	of	ADP
fcis-32158	120	3	intelligent	intelligent	ADJ
fcis-32158	120	4	&	&	CCONJ
fcis-32158	120	5	robotic	robotic	ADJ
fcis-32158	120	6	systems	system	NOUN
fcis-32158	120	7	.	.	PUNCT
fcis-32158	121	1	2025	2025	NUM
fcis-32158	121	2	apr	apr	NOUN
fcis-32158	121	3	26;111(2):53	26;111(2):53	NUM
fcis-32158	121	4	.	.	PUNCT
fcis-32158	122	1	[	[	X
fcis-32158	122	2	10	10	NUM
fcis-32158	122	3	]	]	X
fcis-32158	122	4	li	li	PROPN
fcis-32158	122	5	n	n	PROPN
fcis-32158	122	6	,	,	PUNCT
fcis-32158	122	7	wang	wang	PROPN
fcis-32158	122	8	z	z	PROPN
fcis-32158	122	9	,	,	PUNCT
fcis-32158	122	10	zhao	zhao	PROPN
fcis-32158	122	11	r	r	PROPN
fcis-32158	122	12	,	,	PUNCT
fcis-32158	122	13	yang	yang	PROPN
fcis-32158	122	14	k	k	PROPN
fcis-32158	122	15	,	,	PUNCT
fcis-32158	122	16	ouyang	ouyang	PROPN
fcis-32158	122	17	r.	r.	PROPN
fcis-32158	122	18	yolo	yolo	PROPN
fcis-32158	122	19	-	-	PUNCT
fcis-32158	122	20	pdc	pdc	PROPN
fcis-32158	122	21	:	:	PUNCT
fcis-32158	122	22	algorithm	algorithm	NOUN
fcis-32158	122	23	for	for	ADP
fcis-32158	122	24	aluminum	aluminum	NOUN
fcis-32158	122	25	surface	surface	NOUN
fcis-32158	122	26	defect	defect	NOUN
fcis-32158	122	27	detection	detection	NOUN
fcis-32158	122	28	based	base	VERB
fcis-32158	122	29	on	on	ADP
fcis-32158	122	30	multiscale	multiscale	ADJ
fcis-32158	122	31	enhanced	enhance	VERB
fcis-32158	122	32	model	model	NOUN
fcis-32158	122	33	of	of	ADP
fcis-32158	122	34	yolov7	yolov7	PROPN
fcis-32158	122	35	.	.	PUNCT
fcis-32158	123	1	journal	journal	PROPN
fcis-32158	123	2	of	of	ADP
fcis-32158	123	3	real	real	ADJ
fcis-32158	123	4	-	-	PUNCT
fcis-32158	123	5	time	time	NOUN
fcis-32158	123	6	image	image	NOUN
fcis-32158	123	7	processing	processing	NOUN
fcis-32158	123	8	.	.	PUNCT
fcis-32158	124	1	2025	2025	NUM
fcis-32158	124	2	apr;22(2):86	apr;22(2):86	PROPN
fcis-32158	124	3	.	.	PUNCT
fcis-32158	125	1	[	[	X
fcis-32158	125	2	11	11	NUM
fcis-32158	125	3	]	]	X
fcis-32158	125	4	han	han	PROPN
fcis-32158	125	5	y	y	PROPN
fcis-32158	125	6	,	,	PUNCT
fcis-32158	125	7	li	li	PROPN
fcis-32158	125	8	x	x	PROPN
fcis-32158	125	9	,	,	PUNCT
fcis-32158	125	10	cui	cui	NOUN
fcis-32158	125	11	g	g	NOUN
fcis-32158	125	12	,	,	PUNCT
fcis-32158	125	13	song	song	PROPN
fcis-32158	125	14	j	j	PROPN
fcis-32158	125	15	,	,	PUNCT
fcis-32158	125	16	zhou	zhou	PROPN
fcis-32158	125	17	f	f	PROPN
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fcis-32158	125	19	wang	wang	PROPN
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fcis-32158	125	23	defect	defect	ADJ
fcis-32158	125	24	detection	detection	NOUN
fcis-32158	125	25	and	and	CCONJ
fcis-32158	125	26	classification	classification	NOUN
fcis-32158	125	27	for	for	ADP
fcis-32158	125	28	aluminum	aluminum	NOUN
fcis-32158	125	29	alloys	alloy	NOUN
fcis-32158	125	30	with	with	ADP
fcis-32158	125	31	enhanced	enhanced	ADJ
fcis-32158	125	32	yolov8	yolov8	NOUN
fcis-32158	125	33	.	.	PUNCT
fcis-32158	126	1	plos	plos	PROPN
fcis-32158	126	2	one	one	NUM
fcis-32158	126	3	.	.	PUNCT
fcis-32158	127	1	2025	2025	NUM
fcis-32158	127	2	mar	mar	PROPN
fcis-32158	127	3	20;20(3):e0316817	20;20(3):e0316817	NUM
fcis-32158	127	4	.	.	PUNCT
fcis-32158	128	1	[	[	X
fcis-32158	128	2	12	12	NUM
fcis-32158	128	3	]	]	X
fcis-32158	128	4	yan	yan	PROPN
fcis-32158	128	5	s	s	PROPN
fcis-32158	128	6	,	,	PUNCT
fcis-32158	128	7	guo	guo	PROPN
fcis-32158	128	8	h	h	PROPN
fcis-32158	128	9	,	,	PUNCT
fcis-32158	128	10	liu	liu	PROPN
fcis-32158	128	11	s.	s.	PROPN
fcis-32158	129	1	a	a	DET
fcis-32158	129	2	partition	partition	NOUN
fcis-32158	129	3	stacking	stack	VERB
fcis-32158	129	4	classification	classification	NOUN
fcis-32158	129	5	framework	framework	NOUN
fcis-32158	129	6	with	with	ADP
fcis-32158	129	7	oversampling	oversample	VERB
fcis-32158	129	8	for	for	ADP
fcis-32158	129	9	quality	quality	NOUN
fcis-32158	129	10	prediction	prediction	NOUN
fcis-32158	129	11	of	of	ADP
fcis-32158	129	12	aluminum	aluminum	NOUN
fcis-32158	129	13	alloy	alloy	NOUN
fcis-32158	129	14	ingots	ingot	NOUN
fcis-32158	129	15	.	.	PUNCT
fcis-32158	130	1	international	international	ADJ
fcis-32158	130	2	journal	journal	NOUN
fcis-32158	130	3	of	of	ADP
fcis-32158	130	4	artificial	artificial	ADJ
fcis-32158	130	5	intelligence	intelligence	NOUN
fcis-32158	130	6	and	and	CCONJ
fcis-32158	130	7	green	green	ADJ
fcis-32158	130	8	manufacturing	manufacturing	NOUN
fcis-32158	130	9	.	.	PUNCT
fcis-32158	131	1	2025	2025	NUM
fcis-32158	131	2	apr	apr	NOUN
fcis-32158	131	3	19;1(1	19;1(1	NUM
fcis-32158	131	4	)	)	PUNCT
fcis-32158	131	5	.	.	PUNCT
fcis-32158	132	1	[	[	X
fcis-32158	132	2	13	13	NUM
fcis-32158	132	3	]	]	SYM
fcis-32158	132	4	li	li	PROPN
fcis-32158	132	5	y	y	PROPN
fcis-32158	132	6	,	,	PUNCT
fcis-32158	132	7	yu	yu	PROPN
fcis-32158	132	8	w	w	PROPN
fcis-32158	132	9	,	,	PUNCT
fcis-32158	132	10	guan	guan	PROPN
fcis-32158	132	11	x.	x.	PROPN
fcis-32158	132	12	3d	3d	NUM
fcis-32158	132	13	localization	localization	NOUN
fcis-32158	132	14	for	for	ADP
fcis-32158	132	15	multiple	multiple	ADJ
fcis-32158	132	16	auvs	auvs	NOUN
fcis-32158	132	17	in	in	ADP
fcis-32158	132	18	anchor	anchor	NOUN
fcis-32158	132	19	-	-	PUNCT
fcis-32158	132	20	free	free	ADJ
fcis-32158	132	21	environments	environment	NOUN
fcis-32158	132	22	by	by	ADP
fcis-32158	132	23	exploring	explore	VERB
fcis-32158	132	24	the	the	DET
fcis-32158	132	25	use	use	NOUN
fcis-32158	132	26	of	of	ADP
fcis-32158	132	27	depth	depth	NOUN
fcis-32158	132	28	information	information	NOUN
fcis-32158	132	29	.	.	PUNCT
fcis-32158	133	1	ieee	ieee	NOUN
fcis-32158	133	2	/	/	SYM
fcis-32158	133	3	caa	caa	PROPN
fcis-32158	133	4	journal	journal	PROPN
fcis-32158	133	5	of	of	ADP
fcis-32158	133	6	automatica	automatica	PROPN
fcis-32158	133	7	sinica	sinica	PROPN
fcis-32158	133	8	.	.	PUNCT
fcis-32158	134	1	2023	2023	NUM
fcis-32158	134	2	aug	aug	PROPN
fcis-32158	134	3	1;11(4):1051	1;11(4):1051	NUM
fcis-32158	134	4	-	-	SYM
fcis-32158	134	5	3	3	NUM
fcis-32158	134	6	.	.	PUNCT
fcis-32158	135	1	[	[	X
fcis-32158	135	2	14	14	NUM
fcis-32158	135	3	]	]	X
fcis-32158	135	4	vijayakumar	vijayakumar	PROPN
fcis-32158	135	5	a	a	PROPN
fcis-32158	135	6	,	,	PUNCT
fcis-32158	135	7	vairavasundaram	vairavasundaram	PROPN
fcis-32158	135	8	s.	s.	PROPN
fcis-32158	135	9	yolo	yolo	PROPN
fcis-32158	135	10	-	-	PUNCT
fcis-32158	135	11	based	base	VERB
fcis-32158	135	12	object	object	NOUN
fcis-32158	135	13	detection	detection	NOUN
fcis-32158	135	14	models	model	NOUN
fcis-32158	135	15	:	:	PUNCT
fcis-32158	135	16	a	a	DET
fcis-32158	135	17	review	review	NOUN
fcis-32158	135	18	and	and	CCONJ
fcis-32158	135	19	its	its	PRON
fcis-32158	135	20	applications	application	NOUN
fcis-32158	135	21	.	.	PUNCT
fcis-32158	136	1	multimedia	multimedia	NOUN
fcis-32158	136	2	tools	tool	NOUN
fcis-32158	136	3	and	and	CCONJ
fcis-32158	136	4	applications	application	NOUN
fcis-32158	136	5	.	.	PUNCT
fcis-32158	137	1	2024	2024	NUM
fcis-32158	137	2	oct;83(35):83535	oct;83(35):83535	NUM
fcis-32158	137	3	-	-	SYM
fcis-32158	137	4	74	74	NUM
fcis-32158	137	5	.	.	PUNCT
fcis-32158	138	1	[	[	X
fcis-32158	138	2	15	15	NUM
fcis-32158	138	3	]	]	X
fcis-32158	138	4	magacho	magacho	NOUN
fcis-32158	138	5	g	g	PROPN
fcis-32158	138	6	,	,	PUNCT
fcis-32158	138	7	espagne	espagne	PROPN
fcis-32158	138	8	e	e	NOUN
fcis-32158	138	9	,	,	PUNCT
fcis-32158	138	10	godin	godin	NOUN
fcis-32158	138	11	a.	a.	NOUN
fcis-32158	138	12	impacts	impact	NOUN
fcis-32158	138	13	of	of	ADP
fcis-32158	138	14	the	the	DET
fcis-32158	138	15	cbam	cbam	NOUN
fcis-32158	138	16	on	on	ADP
fcis-32158	138	17	eu	eu	PROPN
fcis-32158	138	18	trade	trade	NOUN
fcis-32158	138	19	partners	partner	NOUN
fcis-32158	138	20	:	:	PUNCT
fcis-32158	138	21	consequences	consequence	NOUN
fcis-32158	138	22	for	for	ADP
fcis-32158	138	23	develo	develo	NOUN
fcis-32158	138	24	*	*	NOUN
fcis-32158	138	25	*	*	PROPN
fcis-32158	138	26	countries	country	NOUN
fcis-32158	138	27	.	.	PUNCT
fcis-32158	139	1	climate	climate	NOUN
fcis-32158	139	2	policy	policy	NOUN
fcis-32158	139	3	.	.	PUNCT
fcis-32158	140	1	2024	2024	NUM
fcis-32158	140	2	feb	feb	X
fcis-32158	140	3	7;24(2):243	7;24(2):243	NUM
fcis-32158	140	4	-	-	SYM
fcis-32158	140	5	59	59	NUM
fcis-32158	140	6	.	.	PUNCT
fcis-32158	141	1	[	[	X
fcis-32158	141	2	16	16	NUM
fcis-32158	141	3	]	]	X
fcis-32158	141	4	liang	liang	PROPN
fcis-32158	141	5	l	l	PROPN
fcis-32158	141	6	,	,	PUNCT
fcis-32158	141	7	zhang	zhang	PROPN
fcis-32158	141	8	y	y	PROPN
fcis-32158	141	9	,	,	PUNCT
fcis-32158	141	10	zhang	zhang	PROPN
fcis-32158	141	11	s	s	PROPN
fcis-32158	141	12	,	,	PUNCT
fcis-32158	141	13	li	li	PROPN
fcis-32158	141	14	j	j	PROPN
fcis-32158	141	15	,	,	PUNCT
fcis-32158	141	16	plaza	plaza	PROPN
fcis-32158	141	17	a	a	PRON
fcis-32158	141	18	,	,	PUNCT
fcis-32158	141	19	kang	kang	PROPN
fcis-32158	141	20	x.	x.	NOUN
fcis-32158	141	21	fast	fast	VERB
fcis-32158	141	22	hyperspectral	hyperspectral	ADJ
fcis-32158	141	23	image	image	NOUN
fcis-32158	141	24	classification	classification	NOUN
fcis-32158	141	25	combining	combine	VERB
fcis-32158	141	26	transformers	transformer	NOUN
fcis-32158	141	27	and	and	CCONJ
fcis-32158	141	28	simam	simam	NOUN
fcis-32158	141	29	-	-	PUNCT
fcis-32158	141	30	based	base	VERB
fcis-32158	141	31	cnns	cnn	NOUN
fcis-32158	141	32	.	.	PUNCT
fcis-32158	142	1	ieee	ieee	NOUN
fcis-32158	142	2	transactions	transaction	NOUN
fcis-32158	142	3	on	on	ADP
fcis-32158	142	4	geoscience	geoscience	NOUN
fcis-32158	142	5	and	and	CCONJ
fcis-32158	142	6	remote	remote	ADJ
fcis-32158	142	7	sensing	sensing	NOUN
fcis-32158	142	8	.	.	PUNCT
fcis-32158	143	1	2023	2023	NUM
fcis-32158	143	2	aug	aug	PROPN
fcis-32158	143	3	28;61:1	28;61:1	NUM
fcis-32158	143	4	-	-	SYM
fcis-32158	143	5	9	9	NUM
fcis-32158	143	6	.	.	PUNCT