id	sid	tid	token	lemma	pos
fcis-8578	1	1	frontiers	frontier	NOUN
fcis-8578	1	2	in	in	ADP
fcis-8578	1	3	computing	computing	NOUN
fcis-8578	1	4	and	and	CCONJ
fcis-8578	1	5	intelligent	intelligent	ADJ
fcis-8578	1	6	systems	system	NOUN
fcis-8578	1	7	issn	issn	VERB
fcis-8578	1	8	:	:	PUNCT
fcis-8578	1	9	2832	2832	NUM
fcis-8578	1	10	-	-	SYM
fcis-8578	1	11	6024	6024	NUM
fcis-8578	1	12	|	|	NOUN
fcis-8578	1	13	vol	vol	NOUN
fcis-8578	1	14	.	.	PROPN
fcis-8578	2	1	3	3	NUM
fcis-8578	2	2	,	,	PUNCT
fcis-8578	2	3	no	no	INTJ
fcis-8578	2	4	.	.	NOUN
fcis-8578	2	5	3	3	NUM
fcis-8578	2	6	,	,	PUNCT
fcis-8578	2	7	2023	2023	NUM
fcis-8578	2	8	102	102	NUM
fcis-8578	2	9	diagnostic	diagnostic	ADJ
fcis-8578	2	10	study	study	NOUN
fcis-8578	2	11	of	of	ADP
fcis-8578	2	12	mbr	mbr	ADJ
fcis-8578	2	13	membrane	membrane	NOUN
fcis-8578	2	14	fouling	fouling	NOUN
fcis-8578	2	15	based	base	VERB
fcis-8578	2	16	on	on	ADP
fcis-8578	2	17	ca‐resnet18	ca‐resnet18	PROPN
fcis-8578	2	18	jingxiao	jingxiao	PROPN
fcis-8578	2	19	zeng	zeng	PROPN
fcis-8578	2	20	*	*	PROPN
fcis-8578	2	21	college	college	PROPN
fcis-8578	2	22	of	of	ADP
fcis-8578	2	23	electrical	electrical	ADJ
fcis-8578	2	24	and	and	CCONJ
fcis-8578	2	25	information	information	NOUN
fcis-8578	2	26	engineering	engineering	NOUN
fcis-8578	2	27	,	,	PUNCT
fcis-8578	2	28	lanzhou	lanzhou	PROPN
fcis-8578	2	29	university	university	PROPN
fcis-8578	2	30	of	of	ADP
fcis-8578	2	31	technology	technology	NOUN
fcis-8578	2	32	,	,	PUNCT
fcis-8578	2	33	lanzhou	lanzhou	PROPN
fcis-8578	2	34	730050	730050	NUM
fcis-8578	2	35	,	,	PUNCT
fcis-8578	2	36	china	china	PROPN
fcis-8578	2	37	*	*	PUNCT
fcis-8578	2	38	corresponding	correspond	VERB
fcis-8578	2	39	author	author	NOUN
fcis-8578	2	40	email	email	NOUN
fcis-8578	2	41	:	:	PUNCT
fcis-8578	2	42	zengjingxiao@outlook.com	zengjingxiao@outlook.com	X
fcis-8578	2	43	abstract	abstract	NOUN
fcis-8578	2	44	:	:	PUNCT
fcis-8578	2	45	in	in	ADP
fcis-8578	2	46	this	this	DET
fcis-8578	2	47	paper	paper	NOUN
fcis-8578	2	48	,	,	PUNCT
fcis-8578	2	49	we	we	PRON
fcis-8578	2	50	propose	propose	VERB
fcis-8578	2	51	a	a	DET
fcis-8578	2	52	diagnostic	diagnostic	ADJ
fcis-8578	2	53	model	model	NOUN
fcis-8578	2	54	for	for	ADP
fcis-8578	2	55	addressing	address	VERB
fcis-8578	2	56	difficult	difficult	ADJ
fcis-8578	2	57	-	-	PUNCT
fcis-8578	2	58	to	to	ADP
fcis-8578	2	59	-	-	PUNCT
fcis-8578	2	60	diagnose	diagnose	NOUN
fcis-8578	2	61	factors	factor	NOUN
fcis-8578	2	62	that	that	PRON
fcis-8578	2	63	influence	influence	VERB
fcis-8578	2	64	membrane	membrane	NOUN
fcis-8578	2	65	fouling	fouling	NOUN
fcis-8578	2	66	,	,	PUNCT
fcis-8578	2	67	using	use	VERB
fcis-8578	2	68	a	a	DET
fcis-8578	2	69	residual	residual	ADJ
fcis-8578	2	70	neural	neural	ADJ
fcis-8578	2	71	network	network	NOUN
fcis-8578	2	72	(	(	PUNCT
fcis-8578	2	73	resnet	resnet	NOUN
fcis-8578	2	74	)	)	PUNCT
fcis-8578	2	75	optimized	optimize	VERB
fcis-8578	2	76	with	with	ADP
fcis-8578	2	77	a	a	DET
fcis-8578	2	78	coordinate	coordinate	ADJ
fcis-8578	2	79	attention	attention	NOUN
fcis-8578	2	80	mechanism	mechanism	NOUN
fcis-8578	2	81	.	.	PUNCT
fcis-8578	3	1	after	after	ADP
fcis-8578	3	2	pre	pre	ADJ
fcis-8578	3	3	-	-	ADJ
fcis-8578	3	4	processing	processing	ADJ
fcis-8578	3	5	fouling	fouling	NOUN
fcis-8578	3	6	data	datum	NOUN
fcis-8578	3	7	from	from	ADP
fcis-8578	3	8	the	the	DET
fcis-8578	3	9	membrane	membrane	NOUN
fcis-8578	3	10	bioreactor	bioreactor	NOUN
fcis-8578	3	11	using	use	VERB
fcis-8578	3	12	principal	principal	ADJ
fcis-8578	3	13	component	component	NOUN
fcis-8578	3	14	analysis	analysis	NOUN
fcis-8578	3	15	(	(	PUNCT
fcis-8578	3	16	pca	pca	NOUN
fcis-8578	3	17	)	)	PUNCT
fcis-8578	3	18	to	to	PART
fcis-8578	3	19	derive	derive	VERB
fcis-8578	3	20	nine	nine	NUM
fcis-8578	3	21	categories	category	NOUN
fcis-8578	3	22	of	of	ADP
fcis-8578	3	23	fouling	fouling	NOUN
fcis-8578	3	24	factors	factor	NOUN
fcis-8578	3	25	,	,	PUNCT
fcis-8578	3	26	we	we	PRON
fcis-8578	3	27	determined	determine	VERB
fcis-8578	3	28	the	the	DET
fcis-8578	3	29	residual	residual	ADJ
fcis-8578	3	30	neural	neural	ADJ
fcis-8578	3	31	network	network	NOUN
fcis-8578	3	32	structure	structure	NOUN
fcis-8578	3	33	and	and	CCONJ
fcis-8578	3	34	optimized	optimize	VERB
fcis-8578	3	35	it	it	PRON
fcis-8578	3	36	using	use	VERB
fcis-8578	3	37	the	the	DET
fcis-8578	3	38	coordinate	coordinate	ADJ
fcis-8578	3	39	attention	attention	NOUN
fcis-8578	3	40	mechanism	mechanism	NOUN
fcis-8578	3	41	(	(	PUNCT
fcis-8578	3	42	ca	ca	NOUN
fcis-8578	3	43	)	)	PUNCT
fcis-8578	3	44	to	to	PART
fcis-8578	3	45	enhance	enhance	VERB
fcis-8578	3	46	feature	feature	NOUN
fcis-8578	3	47	extraction	extraction	NOUN
fcis-8578	3	48	,	,	PUNCT
fcis-8578	3	49	improve	improve	VERB
fcis-8578	3	50	diagnosis	diagnosis	NOUN
fcis-8578	3	51	accuracy	accuracy	NOUN
fcis-8578	3	52	,	,	PUNCT
fcis-8578	3	53	and	and	CCONJ
fcis-8578	3	54	establish	establish	VERB
fcis-8578	3	55	a	a	DET
fcis-8578	3	56	stable	stable	ADJ
fcis-8578	3	57	and	and	CCONJ
fcis-8578	3	58	reliable	reliable	ADJ
fcis-8578	3	59	diagnostic	diagnostic	ADJ
fcis-8578	3	60	model	model	NOUN
fcis-8578	3	61	for	for	ADP
fcis-8578	3	62	membrane	membrane	NOUN
fcis-8578	3	63	scaling	scaling	NOUN
fcis-8578	3	64	.	.	PUNCT
fcis-8578	4	1	through	through	ADP
fcis-8578	4	2	experimental	experimental	ADJ
fcis-8578	4	3	verification	verification	NOUN
fcis-8578	4	4	,	,	PUNCT
fcis-8578	4	5	the	the	DET
fcis-8578	4	6	resnet	resnet	NOUN
fcis-8578	4	7	with	with	ADP
fcis-8578	4	8	the	the	DET
fcis-8578	4	9	addition	addition	NOUN
fcis-8578	4	10	of	of	ADP
fcis-8578	4	11	the	the	DET
fcis-8578	4	12	ca	ca	NOUN
fcis-8578	4	13	attention	attention	NOUN
fcis-8578	4	14	mechanism	mechanism	NOUN
fcis-8578	4	15	outperformed	outperform	VERB
fcis-8578	4	16	the	the	DET
fcis-8578	4	17	resnet	resnet	NOUN
fcis-8578	4	18	with	with	ADP
fcis-8578	4	19	other	other	ADJ
fcis-8578	4	20	attention	attention	NOUN
fcis-8578	4	21	mechanisms	mechanism	NOUN
fcis-8578	4	22	and	and	CCONJ
fcis-8578	4	23	the	the	DET
fcis-8578	4	24	traditional	traditional	ADJ
fcis-8578	4	25	resnet	resnet	NOUN
fcis-8578	4	26	in	in	ADP
fcis-8578	4	27	terms	term	NOUN
fcis-8578	4	28	of	of	ADP
fcis-8578	4	29	prediction	prediction	NOUN
fcis-8578	4	30	accuracy	accuracy	NOUN
fcis-8578	4	31	and	and	CCONJ
fcis-8578	4	32	convergence	convergence	NOUN
fcis-8578	4	33	speed	speed	NOUN
fcis-8578	4	34	,	,	PUNCT
fcis-8578	4	35	achieving	achieve	VERB
fcis-8578	4	36	the	the	DET
fcis-8578	4	37	research	research	NOUN
fcis-8578	4	38	goal	goal	NOUN
fcis-8578	4	39	of	of	ADP
fcis-8578	4	40	accurately	accurately	ADV
fcis-8578	4	41	diagnosing	diagnose	VERB
fcis-8578	4	42	the	the	DET
fcis-8578	4	43	causes	cause	NOUN
fcis-8578	4	44	of	of	ADP
fcis-8578	4	45	membrane	membrane	NOUN
fcis-8578	4	46	scaling	scaling	NOUN
fcis-8578	4	47	.	.	PUNCT
fcis-8578	5	1	keywords	keyword	NOUN
fcis-8578	5	2	:	:	PUNCT
fcis-8578	5	3	residual	residual	ADJ
fcis-8578	5	4	neural	neural	ADJ
fcis-8578	5	5	network	network	NOUN
fcis-8578	5	6	;	;	PUNCT
fcis-8578	5	7	coordinate	coordinate	VERB
fcis-8578	5	8	attention	attention	NOUN
fcis-8578	5	9	mechanism	mechanism	NOUN
fcis-8578	5	10	;	;	PUNCT
fcis-8578	5	11	membrane	membrane	NOUN
fcis-8578	5	12	fouling	fouling	NOUN
fcis-8578	5	13	;	;	PUNCT
fcis-8578	5	14	feature	feature	NOUN
fcis-8578	5	15	fusion	fusion	NOUN
fcis-8578	5	16	.	.	PUNCT
fcis-8578	6	1	1	1	X
fcis-8578	6	2	.	.	X
fcis-8578	6	3	introduction	introduction	NOUN
fcis-8578	6	4	the	the	DET
fcis-8578	6	5	membrane	membrane	NOUN
fcis-8578	6	6	bioreactor	bioreactor	NOUN
fcis-8578	6	7	(	(	PUNCT
fcis-8578	6	8	mbr	mbr	PROPN
fcis-8578	6	9	)	)	PUNCT
fcis-8578	6	10	is	be	AUX
fcis-8578	6	11	an	an	DET
fcis-8578	6	12	advanced	advanced	ADJ
fcis-8578	6	13	wastewater	wastewater	NOUN
fcis-8578	6	14	treatment	treatment	NOUN
fcis-8578	6	15	technology	technology	NOUN
fcis-8578	6	16	that	that	PRON
fcis-8578	6	17	integrates	integrate	VERB
fcis-8578	6	18	membrane	membrane	NOUN
fcis-8578	6	19	separation	separation	NOUN
fcis-8578	6	20	technology	technology	NOUN
fcis-8578	6	21	with	with	ADP
fcis-8578	6	22	the	the	DET
fcis-8578	6	23	activated	activate	VERB
fcis-8578	6	24	sludge	sludge	NOUN
fcis-8578	6	25	method	method	NOUN
fcis-8578	6	26	,	,	PUNCT
fcis-8578	6	27	overcoming	overcome	VERB
fcis-8578	6	28	the	the	DET
fcis-8578	6	29	limitations	limitation	NOUN
fcis-8578	6	30	of	of	ADP
fcis-8578	6	31	traditional	traditional	ADJ
fcis-8578	6	32	activated	activate	VERB
fcis-8578	6	33	sludge	sludge	NOUN
fcis-8578	6	34	treatment	treatment	NOUN
fcis-8578	6	35	and	and	CCONJ
fcis-8578	6	36	elevating	elevate	VERB
fcis-8578	6	37	wastewater	wastewater	NOUN
fcis-8578	6	38	regeneration	regeneration	NOUN
fcis-8578	6	39	treatment	treatment	NOUN
fcis-8578	6	40	to	to	ADP
fcis-8578	6	41	a	a	DET
fcis-8578	6	42	new	new	ADJ
fcis-8578	6	43	level	level	NOUN
fcis-8578	6	44	[	[	X
fcis-8578	6	45	1,2	1,2	NUM
fcis-8578	6	46	]	]	PUNCT
fcis-8578	6	47	.	.	PUNCT
fcis-8578	7	1	despite	despite	SCONJ
fcis-8578	7	2	its	its	PRON
fcis-8578	7	3	benefits	benefit	NOUN
fcis-8578	7	4	,	,	PUNCT
fcis-8578	7	5	the	the	DET
fcis-8578	7	6	widespread	widespread	ADJ
fcis-8578	7	7	use	use	NOUN
fcis-8578	7	8	of	of	ADP
fcis-8578	7	9	mbr	mbr	PROPN
fcis-8578	7	10	technology	technology	NOUN
fcis-8578	7	11	for	for	ADP
fcis-8578	7	12	wastewater	wastewater	NOUN
fcis-8578	7	13	treatment	treatment	NOUN
fcis-8578	7	14	has	have	AUX
fcis-8578	7	15	been	be	AUX
fcis-8578	7	16	limited	limit	VERB
fcis-8578	7	17	due	due	ADP
fcis-8578	7	18	to	to	ADP
fcis-8578	7	19	the	the	DET
fcis-8578	7	20	inevitable	inevitable	ADJ
fcis-8578	7	21	generation	generation	NOUN
fcis-8578	7	22	of	of	ADP
fcis-8578	7	23	membrane	membrane	NOUN
fcis-8578	7	24	fouling	fouling	NOUN
fcis-8578	7	25	,	,	PUNCT
fcis-8578	7	26	which	which	PRON
fcis-8578	7	27	leads	lead	VERB
fcis-8578	7	28	to	to	ADP
fcis-8578	7	29	high	high	ADJ
fcis-8578	7	30	energy	energy	NOUN
fcis-8578	7	31	consumption	consumption	NOUN
fcis-8578	7	32	and	and	CCONJ
fcis-8578	7	33	costs	cost	NOUN
fcis-8578	7	34	.	.	PUNCT
fcis-8578	8	1	therefore	therefore	ADV
fcis-8578	8	2	,	,	PUNCT
fcis-8578	8	3	investigating	investigate	VERB
fcis-8578	8	4	the	the	DET
fcis-8578	8	5	causes	cause	NOUN
fcis-8578	8	6	of	of	ADP
fcis-8578	8	7	mbr	mbr	PRON
fcis-8578	8	8	membrane	membrane	NOUN
fcis-8578	8	9	fouling	fouling	NOUN
fcis-8578	8	10	in	in	ADP
fcis-8578	8	11	practical	practical	ADJ
fcis-8578	8	12	applications	application	NOUN
fcis-8578	8	13	has	have	AUX
fcis-8578	8	14	become	become	VERB
fcis-8578	8	15	a	a	DET
fcis-8578	8	16	pressing	press	VERB
fcis-8578	8	17	issue	issue	NOUN
fcis-8578	8	18	.	.	PUNCT
fcis-8578	9	1	while	while	SCONJ
fcis-8578	9	2	early	early	ADJ
fcis-8578	9	3	researchers	researcher	NOUN
fcis-8578	9	4	used	use	VERB
fcis-8578	9	5	mathematical	mathematical	ADJ
fcis-8578	9	6	modeling	modeling	NOUN
fcis-8578	9	7	to	to	PART
fcis-8578	9	8	reduce	reduce	VERB
fcis-8578	9	9	the	the	DET
fcis-8578	9	10	formation	formation	NOUN
fcis-8578	9	11	of	of	ADP
fcis-8578	9	12	the	the	DET
fcis-8578	9	13	"	"	PUNCT
fcis-8578	9	14	filter	filter	NOUN
fcis-8578	9	15	cake	cake	NOUN
fcis-8578	9	16	layer	layer	NOUN
fcis-8578	9	17	"	"	PUNCT
fcis-8578	9	18	in	in	ADP
fcis-8578	9	19	membrane	membrane	NOUN
fcis-8578	9	20	modules	module	NOUN
fcis-8578	9	21	,	,	PUNCT
fcis-8578	9	22	membrane	membrane	NOUN
fcis-8578	9	23	fouling	fouling	NOUN
fcis-8578	9	24	is	be	AUX
fcis-8578	9	25	a	a	DET
fcis-8578	9	26	complex	complex	ADJ
fcis-8578	9	27	and	and	CCONJ
fcis-8578	9	28	dynamic	dynamic	ADJ
fcis-8578	9	29	process	process	NOUN
fcis-8578	9	30	that	that	PRON
fcis-8578	9	31	involves	involve	VERB
fcis-8578	9	32	many	many	ADJ
fcis-8578	9	33	parameters	parameter	NOUN
fcis-8578	9	34	that	that	PRON
fcis-8578	9	35	are	be	AUX
fcis-8578	9	36	difficult	difficult	ADJ
fcis-8578	9	37	to	to	PART
fcis-8578	9	38	express	express	VERB
fcis-8578	9	39	as	as	ADP
fcis-8578	9	40	a	a	DET
fcis-8578	9	41	precise	precise	ADJ
fcis-8578	9	42	function	function	NOUN
fcis-8578	9	43	[	[	X
fcis-8578	9	44	3,4	3,4	NUM
fcis-8578	9	45	]	]	PUNCT
fcis-8578	9	46	.	.	PUNCT
fcis-8578	10	1	the	the	DET
fcis-8578	10	2	advancement	advancement	NOUN
fcis-8578	10	3	of	of	ADP
fcis-8578	10	4	computer	computer	NOUN
fcis-8578	10	5	technology	technology	NOUN
fcis-8578	10	6	has	have	AUX
fcis-8578	10	7	led	lead	VERB
fcis-8578	10	8	to	to	ADP
fcis-8578	10	9	the	the	DET
fcis-8578	10	10	enhancement	enhancement	NOUN
fcis-8578	10	11	and	and	CCONJ
fcis-8578	10	12	application	application	NOUN
fcis-8578	10	13	of	of	ADP
fcis-8578	10	14	machine	machine	NOUN
fcis-8578	10	15	learning	learn	VERB
fcis-8578	10	16	methods	method	NOUN
fcis-8578	10	17	in	in	ADP
fcis-8578	10	18	the	the	DET
fcis-8578	10	19	field	field	NOUN
fcis-8578	10	20	of	of	ADP
fcis-8578	10	21	fault	fault	NOUN
fcis-8578	10	22	diagnosis	diagnosis	NOUN
fcis-8578	10	23	,	,	PUNCT
fcis-8578	10	24	including	include	VERB
fcis-8578	10	25	the	the	DET
fcis-8578	10	26	diagnosis	diagnosis	NOUN
fcis-8578	10	27	of	of	ADP
fcis-8578	10	28	membrane	membrane	NOUN
fcis-8578	10	29	scaling	scaling	NOUN
fcis-8578	10	30	.	.	PUNCT
fcis-8578	11	1	machine	machine	NOUN
fcis-8578	11	2	learning	learning	NOUN
fcis-8578	11	3	-	-	PUNCT
fcis-8578	11	4	based	base	VERB
fcis-8578	11	5	methods	method	NOUN
fcis-8578	11	6	for	for	ADP
fcis-8578	11	7	membrane	membrane	NOUN
fcis-8578	11	8	scaling	scaling	NOUN
fcis-8578	11	9	diagnosis	diagnosis	NOUN
fcis-8578	11	10	include	include	VERB
fcis-8578	11	11	support	support	NOUN
fcis-8578	11	12	vector	vector	NOUN
fcis-8578	11	13	machines	machine	NOUN
fcis-8578	11	14	(	(	PUNCT
fcis-8578	11	15	svm	svm	PROPN
fcis-8578	11	16	)	)	PUNCT
fcis-8578	11	17	and	and	CCONJ
fcis-8578	11	18	backpropagation	backpropagation	NOUN
fcis-8578	11	19	(	(	PUNCT
fcis-8578	11	20	bp	bp	PROPN
fcis-8578	11	21	)	)	PUNCT
fcis-8578	11	22	neural	neural	ADJ
fcis-8578	11	23	networks	network	NOUN
fcis-8578	11	24	,	,	PUNCT
fcis-8578	11	25	among	among	ADP
fcis-8578	11	26	others	other	NOUN
fcis-8578	11	27	[	[	X
fcis-8578	11	28	5,6	5,6	NUM
fcis-8578	11	29	]	]	PUNCT
fcis-8578	11	30	.	.	PUNCT
fcis-8578	12	1	despite	despite	SCONJ
fcis-8578	12	2	their	their	PRON
fcis-8578	12	3	widespread	widespread	ADJ
fcis-8578	12	4	use	use	NOUN
fcis-8578	12	5	,	,	PUNCT
fcis-8578	12	6	shallow	shallow	ADJ
fcis-8578	12	7	neural	neural	ADJ
fcis-8578	12	8	network	network	NOUN
fcis-8578	12	9	models	model	NOUN
fcis-8578	12	10	such	such	ADJ
fcis-8578	12	11	as	as	ADP
fcis-8578	12	12	svm	svm	PROPN
fcis-8578	12	13	and	and	CCONJ
fcis-8578	12	14	bp	bp	PROPN
fcis-8578	12	15	neural	neural	PROPN
fcis-8578	12	16	networks	network	NOUN
fcis-8578	12	17	have	have	VERB
fcis-8578	12	18	limitations	limitation	NOUN
fcis-8578	12	19	in	in	ADP
fcis-8578	12	20	fault	fault	NOUN
fcis-8578	12	21	diagnosis	diagnosis	NOUN
fcis-8578	12	22	due	due	ADP
fcis-8578	12	23	to	to	ADP
fcis-8578	12	24	their	their	PRON
fcis-8578	12	25	shallow	shallow	ADJ
fcis-8578	12	26	structure	structure	NOUN
fcis-8578	12	27	,	,	PUNCT
fcis-8578	12	28	complex	complex	ADJ
fcis-8578	12	29	parameter	parameter	NOUN
fcis-8578	12	30	tuning	tuning	NOUN
fcis-8578	12	31	,	,	PUNCT
fcis-8578	12	32	and	and	CCONJ
fcis-8578	12	33	limited	limited	ADJ
fcis-8578	12	34	computational	computational	ADJ
fcis-8578	12	35	power	power	NOUN
fcis-8578	12	36	[	[	X
fcis-8578	12	37	7,8	7,8	NUM
fcis-8578	12	38	]	]	PUNCT
fcis-8578	12	39	.	.	PUNCT
fcis-8578	13	1	additionally	additionally	ADV
fcis-8578	13	2	,	,	PUNCT
fcis-8578	13	3	the	the	DET
fcis-8578	13	4	shallow	shallow	ADJ
fcis-8578	13	5	neural	neural	ADJ
fcis-8578	13	6	network	network	NOUN
fcis-8578	13	7	diagnostic	diagnostic	ADJ
fcis-8578	13	8	approach	approach	NOUN
fcis-8578	13	9	relies	rely	VERB
fcis-8578	13	10	on	on	ADP
fcis-8578	13	11	manual	manual	ADJ
fcis-8578	13	12	data	datum	NOUN
fcis-8578	13	13	preprocessing	preprocesse	VERB
fcis-8578	13	14	with	with	ADP
fcis-8578	13	15	substantial	substantial	ADJ
fcis-8578	13	16	prior	prior	ADJ
fcis-8578	13	17	knowledge	knowledge	NOUN
fcis-8578	13	18	,	,	PUNCT
fcis-8578	13	19	and	and	CCONJ
fcis-8578	13	20	the	the	DET
fcis-8578	13	21	models	model	NOUN
fcis-8578	13	22	often	often	ADV
fcis-8578	13	23	lack	lack	VERB
fcis-8578	13	24	generalization	generalization	NOUN
fcis-8578	13	25	power	power	NOUN
fcis-8578	13	26	for	for	ADP
fcis-8578	13	27	different	different	ADJ
fcis-8578	13	28	diagnostic	diagnostic	ADJ
fcis-8578	13	29	problems	problem	NOUN
fcis-8578	13	30	.	.	PUNCT
fcis-8578	14	1	to	to	PART
fcis-8578	14	2	address	address	VERB
fcis-8578	14	3	the	the	DET
fcis-8578	14	4	limitations	limitation	NOUN
fcis-8578	14	5	of	of	ADP
fcis-8578	14	6	shallow	shallow	ADJ
fcis-8578	14	7	neural	neural	ADJ
fcis-8578	14	8	network	network	NOUN
fcis-8578	14	9	models	model	NOUN
fcis-8578	14	10	,	,	PUNCT
fcis-8578	14	11	such	such	ADJ
fcis-8578	14	12	as	as	ADP
fcis-8578	14	13	manual	manual	ADJ
fcis-8578	14	14	information	information	NOUN
fcis-8578	14	15	processing	processing	NOUN
fcis-8578	14	16	and	and	CCONJ
fcis-8578	14	17	incomplete	incomplete	ADJ
fcis-8578	14	18	feature	feature	NOUN
fcis-8578	14	19	extraction	extraction	NOUN
fcis-8578	14	20	from	from	ADP
fcis-8578	14	21	small	small	ADJ
fcis-8578	14	22	sample	sample	NOUN
fcis-8578	14	23	data	datum	NOUN
fcis-8578	14	24	in	in	ADP
fcis-8578	14	25	complex	complex	ADJ
fcis-8578	14	26	environments	environment	NOUN
fcis-8578	14	27	,	,	PUNCT
fcis-8578	14	28	researchers	researcher	NOUN
fcis-8578	14	29	have	have	AUX
fcis-8578	14	30	proposed	propose	VERB
fcis-8578	14	31	convolutional	convolutional	ADJ
fcis-8578	14	32	neural	neural	ADJ
fcis-8578	14	33	networks	network	NOUN
fcis-8578	14	34	(	(	PUNCT
fcis-8578	14	35	cnns	cnns	PROPN
fcis-8578	14	36	)	)	PUNCT
fcis-8578	15	1	[	[	X
fcis-8578	15	2	9,10	9,10	NUM
fcis-8578	15	3	]	]	X
fcis-8578	15	4	.	.	PUNCT
fcis-8578	16	1	cnns	cnns	PROPN
fcis-8578	16	2	offer	offer	VERB
fcis-8578	16	3	a	a	DET
fcis-8578	16	4	promising	promising	ADJ
fcis-8578	16	5	solution	solution	NOUN
fcis-8578	16	6	to	to	ADP
fcis-8578	16	7	these	these	DET
fcis-8578	16	8	issues	issue	NOUN
fcis-8578	16	9	,	,	PUNCT
fcis-8578	16	10	providing	provide	VERB
fcis-8578	16	11	improved	improved	ADJ
fcis-8578	16	12	feature	feature	NOUN
fcis-8578	16	13	extraction	extraction	NOUN
fcis-8578	16	14	capabilities	capability	NOUN
fcis-8578	16	15	and	and	CCONJ
fcis-8578	16	16	enhanced	enhance	VERB
fcis-8578	16	17	generalization	generalization	NOUN
fcis-8578	16	18	power	power	NOUN
fcis-8578	16	19	for	for	ADP
fcis-8578	16	20	diverse	diverse	ADJ
fcis-8578	16	21	diagnostic	diagnostic	ADJ
fcis-8578	16	22	problems	problem	NOUN
fcis-8578	16	23	.	.	PUNCT
fcis-8578	17	1	compared	compare	VERB
fcis-8578	17	2	to	to	ADP
fcis-8578	17	3	shallow	shallow	ADJ
fcis-8578	17	4	neural	neural	ADJ
fcis-8578	17	5	network	network	NOUN
fcis-8578	17	6	models	model	NOUN
fcis-8578	17	7	,	,	PUNCT
fcis-8578	17	8	cnns	cnn	NOUN
fcis-8578	17	9	use	use	VERB
fcis-8578	17	10	a	a	DET
fcis-8578	17	11	different	different	ADJ
fcis-8578	17	12	feature	feature	NOUN
fcis-8578	17	13	extraction	extraction	NOUN
fcis-8578	17	14	mechanism	mechanism	NOUN
fcis-8578	17	15	that	that	PRON
fcis-8578	17	16	involves	involve	VERB
fcis-8578	17	17	a	a	DET
fcis-8578	17	18	small	small	ADJ
fcis-8578	17	19	number	number	NOUN
fcis-8578	17	20	of	of	ADP
fcis-8578	17	21	network	network	NOUN
fcis-8578	17	22	parameters	parameter	NOUN
fcis-8578	17	23	per	per	ADP
fcis-8578	17	24	layer	layer	NOUN
fcis-8578	17	25	,	,	PUNCT
fcis-8578	17	26	a	a	DET
fcis-8578	17	27	proven	prove	VERB
fcis-8578	17	28	anti	anti	ADJ
fcis-8578	17	29	-	-	ADJ
fcis-8578	17	30	overfitting	overfitting	ADJ
fcis-8578	17	31	strategy	strategy	NOUN
fcis-8578	17	32	,	,	PUNCT
fcis-8578	17	33	and	and	CCONJ
fcis-8578	17	34	an	an	DET
fcis-8578	17	35	efficient	efficient	ADJ
fcis-8578	17	36	convergence	convergence	NOUN
fcis-8578	17	37	speed	speed	NOUN
fcis-8578	17	38	[	[	X
fcis-8578	17	39	11	11	NUM
fcis-8578	17	40	]	]	PUNCT
fcis-8578	17	41	.	.	PUNCT
fcis-8578	18	1	these	these	DET
fcis-8578	18	2	characteristics	characteristic	NOUN
fcis-8578	18	3	not	not	PART
fcis-8578	18	4	only	only	ADV
fcis-8578	18	5	provide	provide	VERB
fcis-8578	18	6	a	a	DET
fcis-8578	18	7	noise	noise	NOUN
fcis-8578	18	8	reduction	reduction	NOUN
fcis-8578	18	9	and	and	CCONJ
fcis-8578	18	10	filtering	filtering	NOUN
fcis-8578	18	11	effect	effect	NOUN
fcis-8578	18	12	but	but	CCONJ
fcis-8578	18	13	also	also	ADV
fcis-8578	18	14	guarantee	guarantee	VERB
fcis-8578	18	15	the	the	DET
fcis-8578	18	16	invariance	invariance	NOUN
fcis-8578	18	17	of	of	ADP
fcis-8578	18	18	feature	feature	NOUN
fcis-8578	18	19	extraction	extraction	NOUN
fcis-8578	18	20	,	,	PUNCT
fcis-8578	18	21	making	make	VERB
fcis-8578	18	22	cnns	cnn	VERB
fcis-8578	18	23	a	a	DET
fcis-8578	18	24	powerful	powerful	ADJ
fcis-8578	18	25	tool	tool	NOUN
fcis-8578	18	26	for	for	ADP
fcis-8578	18	27	image	image	NOUN
fcis-8578	18	28	and	and	CCONJ
fcis-8578	18	29	video	video	NOUN
fcis-8578	18	30	analysis	analysis	NOUN
fcis-8578	18	31	tasks	task	NOUN
fcis-8578	18	32	.	.	PUNCT
fcis-8578	19	1	the	the	DET
fcis-8578	19	2	signals	signal	NOUN
fcis-8578	19	3	monitored	monitor	VERB
fcis-8578	19	4	in	in	ADP
fcis-8578	19	5	the	the	DET
fcis-8578	19	6	actual	actual	ADJ
fcis-8578	19	7	production	production	NOUN
fcis-8578	19	8	process	process	NOUN
fcis-8578	19	9	are	be	AUX
fcis-8578	19	10	non	non	ADJ
fcis-8578	19	11	-	-	ADJ
fcis-8578	19	12	smooth	smooth	ADJ
fcis-8578	19	13	signals	signal	NOUN
fcis-8578	19	14	.	.	PUNCT
fcis-8578	20	1	the	the	DET
fcis-8578	20	2	literature	literature	NOUN
fcis-8578	20	3	[	[	X
fcis-8578	20	4	12	12	NUM
fcis-8578	20	5	]	]	PUNCT
fcis-8578	20	6	applies	apply	VERB
fcis-8578	20	7	wavelet	wavelet	NOUN
fcis-8578	20	8	transform	transform	NOUN
fcis-8578	20	9	to	to	PART
fcis-8578	20	10	separate	separate	ADJ
fcis-8578	20	11	fault	fault	NOUN
fcis-8578	20	12	signals	signal	NOUN
fcis-8578	20	13	from	from	ADP
fcis-8578	20	14	their	their	PRON
fcis-8578	20	15	fluctuating	fluctuate	VERB
fcis-8578	20	16	signals	signal	NOUN
fcis-8578	20	17	,	,	PUNCT
fcis-8578	20	18	generates	generate	VERB
fcis-8578	20	19	grey	grey	ADJ
fcis-8578	20	20	-	-	PUNCT
fcis-8578	20	21	scale	scale	NOUN
fcis-8578	20	22	time	time	NOUN
fcis-8578	20	23	-	-	PUNCT
fcis-8578	20	24	frequency	frequency	NOUN
fcis-8578	20	25	images	image	NOUN
fcis-8578	20	26	,	,	PUNCT
fcis-8578	20	27	and	and	CCONJ
fcis-8578	20	28	then	then	ADV
fcis-8578	20	29	combines	combine	VERB
fcis-8578	20	30	cnns	cnn	NOUN
fcis-8578	20	31	,	,	PUNCT
fcis-8578	20	32	thus	thus	ADV
fcis-8578	20	33	reducing	reduce	VERB
fcis-8578	20	34	the	the	DET
fcis-8578	20	35	false	false	ADJ
fcis-8578	20	36	alarm	alarm	NOUN
fcis-8578	20	37	rate	rate	NOUN
fcis-8578	20	38	of	of	ADP
fcis-8578	20	39	fault	fault	NOUN
fcis-8578	20	40	diagnosis	diagnosis	NOUN
fcis-8578	20	41	.	.	PUNCT
fcis-8578	21	1	research	research	NOUN
fcis-8578	21	2	into	into	ADP
fcis-8578	21	3	building	build	VERB
fcis-8578	21	4	fault	fault	NOUN
fcis-8578	21	5	diagnosis	diagnosis	NOUN
fcis-8578	21	6	models	model	NOUN
fcis-8578	21	7	based	base	VERB
fcis-8578	21	8	on	on	ADP
fcis-8578	21	9	cnns	cnns	PROPN
fcis-8578	21	10	is	be	AUX
fcis-8578	21	11	beginning	begin	VERB
fcis-8578	21	12	to	to	PART
fcis-8578	21	13	bear	bear	VERB
fcis-8578	21	14	fruit	fruit	NOUN
fcis-8578	21	15	,	,	PUNCT
fcis-8578	21	16	but	but	CCONJ
fcis-8578	21	17	as	as	SCONJ
fcis-8578	21	18	the	the	DET
fcis-8578	21	19	volume	volume	NOUN
fcis-8578	21	20	of	of	ADP
fcis-8578	21	21	data	datum	NOUN
fcis-8578	21	22	continues	continue	VERB
fcis-8578	21	23	to	to	PART
fcis-8578	21	24	expand	expand	VERB
fcis-8578	21	25	,	,	PUNCT
fcis-8578	21	26	the	the	DET
fcis-8578	21	27	required	require	VERB
fcis-8578	21	28	diagnostic	diagnostic	ADJ
fcis-8578	21	29	accuracy	accuracy	NOUN
fcis-8578	21	30	continues	continue	VERB
fcis-8578	21	31	to	to	PART
fcis-8578	21	32	increase	increase	VERB
fcis-8578	21	33	,	,	PUNCT
fcis-8578	21	34	and	and	CCONJ
fcis-8578	21	35	the	the	DET
fcis-8578	21	36	network	network	NOUN
fcis-8578	21	37	complexity	complexity	NOUN
fcis-8578	21	38	of	of	ADP
fcis-8578	21	39	deep	deep	ADJ
fcis-8578	21	40	learning	learning	NOUN
fcis-8578	21	41	continues	continue	VERB
fcis-8578	21	42	to	to	PART
fcis-8578	21	43	strengthen	strengthen	VERB
fcis-8578	21	44	,	,	PUNCT
fcis-8578	21	45	problems	problem	NOUN
fcis-8578	21	46	such	such	ADJ
fcis-8578	21	47	as	as	ADP
fcis-8578	21	48	model	model	NOUN
fcis-8578	21	49	degradation	degradation	NOUN
fcis-8578	21	50	and	and	CCONJ
fcis-8578	21	51	overfitting	overfitting	NOUN
fcis-8578	21	52	can	can	AUX
fcis-8578	21	53	occur	occur	VERB
fcis-8578	21	54	.	.	PUNCT
fcis-8578	22	1	in	in	ADP
fcis-8578	22	2	response	response	NOUN
fcis-8578	22	3	to	to	ADP
fcis-8578	22	4	the	the	DET
fcis-8578	22	5	shortcomings	shortcoming	NOUN
fcis-8578	22	6	of	of	ADP
fcis-8578	22	7	cnns	cnn	NOUN
fcis-8578	22	8	,	,	PUNCT
fcis-8578	22	9	residual	residual	ADJ
fcis-8578	22	10	neural	neural	ADJ
fcis-8578	22	11	networks	network	NOUN
fcis-8578	22	12	were	be	AUX
fcis-8578	22	13	created	create	VERB
fcis-8578	22	14	to	to	PART
fcis-8578	22	15	further	far	ADV
fcis-8578	22	16	increase	increase	VERB
fcis-8578	22	17	the	the	DET
fcis-8578	22	18	depth	depth	NOUN
fcis-8578	22	19	of	of	ADP
fcis-8578	22	20	the	the	DET
fcis-8578	22	21	network	network	NOUN
fcis-8578	22	22	,	,	PUNCT
fcis-8578	22	23	but	but	CCONJ
fcis-8578	22	24	they	they	PRON
fcis-8578	22	25	are	be	AUX
fcis-8578	22	26	often	often	ADV
fcis-8578	22	27	accompanied	accompany	VERB
fcis-8578	22	28	by	by	ADP
fcis-8578	22	29	problems	problem	NOUN
fcis-8578	22	30	such	such	ADJ
fcis-8578	22	31	as	as	ADP
fcis-8578	22	32	training	training	NOUN
fcis-8578	22	33	difficulties	difficulty	NOUN
fcis-8578	22	34	when	when	SCONJ
fcis-8578	22	35	excessive	excessive	ADJ
fcis-8578	22	36	network	network	NOUN
fcis-8578	22	37	depth	depth	NOUN
fcis-8578	22	38	is	be	AUX
fcis-8578	22	39	greatly	greatly	ADV
fcis-8578	22	40	eliminated	eliminate	VERB
fcis-8578	22	41	through	through	ADP
fcis-8578	22	42	short	short	ADJ
fcis-8578	22	43	joins	join	NOUN
fcis-8578	22	44	under	under	ADP
fcis-8578	22	45	degenerative	degenerative	ADJ
fcis-8578	22	46	phenomena	phenomenon	NOUN
fcis-8578	22	47	[	[	X
fcis-8578	22	48	13	13	NUM
fcis-8578	22	49	]	]	PUNCT
fcis-8578	22	50	.	.	PUNCT
fcis-8578	23	1	to	to	PART
fcis-8578	23	2	overcome	overcome	VERB
fcis-8578	23	3	the	the	DET
fcis-8578	23	4	drawback	drawback	NOUN
fcis-8578	23	5	that	that	PRON
fcis-8578	23	6	traditional	traditional	ADJ
fcis-8578	23	7	convolutional	convolutional	ADJ
fcis-8578	23	8	operations	operation	NOUN
fcis-8578	23	9	can	can	AUX
fcis-8578	23	10	only	only	ADV
fcis-8578	23	11	extract	extract	VERB
fcis-8578	23	12	single	single	ADJ
fcis-8578	23	13	-	-	PUNCT
fcis-8578	23	14	scale	scale	NOUN
fcis-8578	23	15	feature	feature	NOUN
fcis-8578	23	16	information	information	NOUN
fcis-8578	23	17	,	,	PUNCT
fcis-8578	23	18	the	the	DET
fcis-8578	23	19	literature	literature	NOUN
fcis-8578	23	20	[	[	X
fcis-8578	23	21	14	14	NUM
fcis-8578	23	22	]	]	PUNCT
fcis-8578	23	23	superimposed	superimpose	VERB
fcis-8578	23	24	convolutional	convolutional	ADJ
fcis-8578	23	25	layers	layer	NOUN
fcis-8578	23	26	of	of	ADP
fcis-8578	23	27	networks	network	NOUN
fcis-8578	23	28	at	at	ADP
fcis-8578	23	29	different	different	ADJ
fcis-8578	23	30	scales	scale	NOUN
fcis-8578	23	31	to	to	PART
fcis-8578	23	32	extract	extract	VERB
fcis-8578	23	33	multi	multi	ADJ
fcis-8578	23	34	-	-	ADJ
fcis-8578	23	35	scale	scale	ADJ
fcis-8578	23	36	feature	feature	NOUN
fcis-8578	23	37	information	information	NOUN
fcis-8578	23	38	,	,	PUNCT
fcis-8578	23	39	achieving	achieve	VERB
fcis-8578	23	40	effective	effective	ADJ
fcis-8578	23	41	fusion	fusion	NOUN
fcis-8578	23	42	of	of	ADP
fcis-8578	23	43	multi	multi	ADJ
fcis-8578	23	44	-	-	ADJ
fcis-8578	23	45	scale	scale	ADJ
fcis-8578	23	46	feature	feature	NOUN
fcis-8578	23	47	information	information	NOUN
fcis-8578	23	48	within	within	ADP
fcis-8578	23	49	the	the	DET
fcis-8578	23	50	residual	residual	ADJ
fcis-8578	23	51	block	block	NOUN
fcis-8578	23	52	and	and	CCONJ
fcis-8578	23	53	taking	take	VERB
fcis-8578	23	54	into	into	ADP
fcis-8578	23	55	account	account	NOUN
fcis-8578	23	56	the	the	DET
fcis-8578	23	57	advantages	advantage	NOUN
fcis-8578	23	58	of	of	ADP
fcis-8578	23	59	cross	cross	ADJ
fcis-8578	23	60	-	-	ADJ
fcis-8578	23	61	layer	layer	ADJ
fcis-8578	23	62	constant	constant	ADJ
fcis-8578	23	63	mapping	mapping	NOUN
fcis-8578	23	64	of	of	ADP
fcis-8578	23	65	residual	residual	ADJ
fcis-8578	23	66	natural	natural	ADJ
fcis-8578	23	67	networks	network	NOUN
fcis-8578	23	68	and	and	CCONJ
fcis-8578	23	69	multi	multi	ADJ
fcis-8578	23	70	-	-	ADJ
fcis-8578	23	71	scale	scale	ADJ
fcis-8578	23	72	feature	feature	NOUN
fcis-8578	23	73	extraction	extraction	NOUN
fcis-8578	23	74	.	.	PUNCT
fcis-8578	24	1	although	although	SCONJ
fcis-8578	24	2	this	this	DET
fcis-8578	24	3	structure	structure	NOUN
fcis-8578	24	4	enhances	enhance	VERB
fcis-8578	24	5	the	the	DET
fcis-8578	24	6	extraction	extraction	NOUN
fcis-8578	24	7	of	of	ADP
fcis-8578	24	8	features	feature	NOUN
fcis-8578	24	9	in	in	ADP
fcis-8578	24	10	multiple	multiple	ADJ
fcis-8578	24	11	dimensions	dimension	NOUN
fcis-8578	24	12	,	,	PUNCT
fcis-8578	24	13	it	it	PRON
fcis-8578	24	14	also	also	ADV
fcis-8578	24	15	causes	cause	VERB
fcis-8578	24	16	a	a	DET
fcis-8578	24	17	large	large	ADJ
fcis-8578	24	18	amount	amount	NOUN
fcis-8578	24	19	of	of	ADP
fcis-8578	24	20	data	datum	NOUN
fcis-8578	24	21	redundancy	redundancy	NOUN
fcis-8578	24	22	and	and	CCONJ
fcis-8578	24	23	creates	create	VERB
fcis-8578	24	24	an	an	DET
fcis-8578	24	25	overfitting	overfitting	ADJ
fcis-8578	24	26	problem	problem	NOUN
fcis-8578	24	27	.	.	PUNCT
fcis-8578	25	1	the	the	DET
fcis-8578	25	2	literature	literature	NOUN
fcis-8578	25	3	[	[	X
fcis-8578	25	4	15	15	NUM
fcis-8578	25	5	]	]	PUNCT
fcis-8578	25	6	uses	use	VERB
fcis-8578	25	7	the	the	DET
fcis-8578	25	8	stacking	stacking	NOUN
fcis-8578	25	9	idea	idea	NOUN
fcis-8578	25	10	of	of	ADP
fcis-8578	25	11	inception	inception	NOUN
fcis-8578	25	12	to	to	PART
fcis-8578	25	13	propose	propose	VERB
fcis-8578	25	14	a	a	DET
fcis-8578	25	15	stacked	stack	VERB
fcis-8578	25	16	convolutional	convolutional	ADJ
fcis-8578	25	17	layer	layer	NOUN
fcis-8578	25	18	,	,	PUNCT
fcis-8578	25	19	which	which	PRON
fcis-8578	25	20	is	be	AUX
fcis-8578	25	21	inserted	insert	VERB
fcis-8578	25	22	into	into	ADP
fcis-8578	25	23	the	the	DET
fcis-8578	25	24	resnet	resnet	NOUN
fcis-8578	25	25	network	network	NOUN
fcis-8578	25	26	and	and	CCONJ
fcis-8578	25	27	effectively	effectively	ADV
fcis-8578	25	28	extracts	extract	VERB
fcis-8578	25	29	feature	feature	NOUN
fcis-8578	25	30	information	information	NOUN
fcis-8578	25	31	from	from	ADP
fcis-8578	25	32	faulty	faulty	ADJ
fcis-8578	25	33	data	datum	NOUN
fcis-8578	25	34	.	.	PUNCT
fcis-8578	26	1	with	with	ADP
fcis-8578	26	2	the	the	DET
fcis-8578	26	3	continuous	continuous	ADJ
fcis-8578	26	4	development	development	NOUN
fcis-8578	26	5	of	of	ADP
fcis-8578	26	6	deep	deep	ADJ
fcis-8578	26	7	learning	learning	NOUN
fcis-8578	26	8	,	,	PUNCT
fcis-8578	26	9	a	a	DET
fcis-8578	26	10	simpler	simple	ADJ
fcis-8578	26	11	and	and	CCONJ
fcis-8578	26	12	lighter	light	ADJ
fcis-8578	26	13	attention	attention	NOUN
fcis-8578	26	14	mechanism	mechanism	NOUN
fcis-8578	26	15	has	have	AUX
fcis-8578	26	16	been	be	AUX
fcis-8578	26	17	proposed	propose	VERB
fcis-8578	26	18	.	.	PUNCT
fcis-8578	27	1	the	the	DET
fcis-8578	27	2	literature	literature	NOUN
fcis-8578	27	3	[	[	X
fcis-8578	27	4	16	16	NUM
fcis-8578	27	5	]	]	PUNCT
fcis-8578	27	6	enhances	enhance	VERB
fcis-8578	27	7	the	the	DET
fcis-8578	27	8	representational	representational	ADJ
fcis-8578	27	9	power	power	NOUN
fcis-8578	27	10	by	by	ADP
fcis-8578	27	11	introducing	introduce	VERB
fcis-8578	27	12	an	an	DET
fcis-8578	27	13	attention	attention	NOUN
fcis-8578	27	14	103	103	NUM
fcis-8578	27	15	mechanism	mechanism	NOUN
fcis-8578	27	16	to	to	PART
fcis-8578	27	17	weigh	weigh	VERB
fcis-8578	27	18	the	the	DET
fcis-8578	27	19	feature	feature	NOUN
fcis-8578	27	20	maps	map	NOUN
fcis-8578	27	21	after	after	ADP
fcis-8578	27	22	multiple	multiple	ADJ
fcis-8578	27	23	convolutional	convolutional	ADJ
fcis-8578	27	24	operations	operation	NOUN
fcis-8578	27	25	.	.	PUNCT
fcis-8578	28	1	the	the	DET
fcis-8578	28	2	improved	improved	ADJ
fcis-8578	28	3	attention	attention	NOUN
fcis-8578	28	4	mechanism	mechanism	NOUN
fcis-8578	28	5	enables	enable	VERB
fcis-8578	28	6	the	the	DET
fcis-8578	28	7	network	network	NOUN
fcis-8578	28	8	to	to	PART
fcis-8578	28	9	differentiate	differentiate	VERB
fcis-8578	28	10	the	the	DET
fcis-8578	28	11	importance	importance	NOUN
fcis-8578	28	12	of	of	ADP
fcis-8578	28	13	features	feature	NOUN
fcis-8578	28	14	,	,	PUNCT
fcis-8578	28	15	increasing	increase	VERB
fcis-8578	28	16	the	the	DET
fcis-8578	28	17	training	training	NOUN
fcis-8578	28	18	speed	speed	NOUN
fcis-8578	28	19	and	and	CCONJ
fcis-8578	28	20	improving	improve	VERB
fcis-8578	28	21	the	the	DET
fcis-8578	28	22	recognition	recognition	NOUN
fcis-8578	28	23	accuracy	accuracy	NOUN
fcis-8578	28	24	of	of	ADP
fcis-8578	28	25	the	the	DET
fcis-8578	28	26	network	network	NOUN
fcis-8578	28	27	.	.	PUNCT
fcis-8578	29	1	in	in	ADP
fcis-8578	29	2	this	this	DET
fcis-8578	29	3	paper	paper	NOUN
fcis-8578	29	4	,	,	PUNCT
fcis-8578	29	5	we	we	PRON
fcis-8578	29	6	propose	propose	VERB
fcis-8578	29	7	a	a	DET
fcis-8578	29	8	strategy	strategy	NOUN
fcis-8578	29	9	for	for	ADP
fcis-8578	29	10	membrane	membrane	NOUN
fcis-8578	29	11	fouling	fouling	NOUN
fcis-8578	29	12	fault	fault	NOUN
fcis-8578	29	13	diagnosis	diagnosis	NOUN
fcis-8578	29	14	that	that	PRON
fcis-8578	29	15	uses	use	VERB
fcis-8578	29	16	an	an	DET
fcis-8578	29	17	attention	attention	NOUN
fcis-8578	29	18	mechanism	mechanism	NOUN
fcis-8578	29	19	to	to	PART
fcis-8578	29	20	enhance	enhance	VERB
fcis-8578	29	21	network	network	NOUN
fcis-8578	29	22	performance	performance	NOUN
fcis-8578	29	23	.	.	PUNCT
fcis-8578	30	1	our	our	PRON
fcis-8578	30	2	model	model	NOUN
fcis-8578	30	3	combines	combine	VERB
fcis-8578	30	4	a	a	DET
fcis-8578	30	5	modified	modify	VERB
fcis-8578	30	6	residual	residual	ADJ
fcis-8578	30	7	neural	neural	ADJ
fcis-8578	30	8	network	network	NOUN
fcis-8578	30	9	with	with	ADP
fcis-8578	30	10	fault	fault	NOUN
fcis-8578	30	11	data	datum	NOUN
fcis-8578	30	12	visualization	visualization	NOUN
fcis-8578	30	13	.	.	PUNCT
fcis-8578	31	1	firstly	firstly	ADV
fcis-8578	31	2	,	,	PUNCT
fcis-8578	31	3	principal	principal	ADJ
fcis-8578	31	4	component	component	NOUN
fcis-8578	31	5	analysis	analysis	NOUN
fcis-8578	31	6	is	be	AUX
fcis-8578	31	7	used	use	VERB
fcis-8578	31	8	to	to	PART
fcis-8578	31	9	filter	filter	VERB
fcis-8578	31	10	out	out	ADP
fcis-8578	31	11	the	the	DET
fcis-8578	31	12	main	main	ADJ
fcis-8578	31	13	fouling	fouling	NOUN
fcis-8578	31	14	factors	factor	NOUN
fcis-8578	31	15	,	,	PUNCT
fcis-8578	31	16	followed	follow	VERB
fcis-8578	31	17	by	by	ADP
fcis-8578	31	18	the	the	DET
fcis-8578	31	19	generation	generation	NOUN
fcis-8578	31	20	of	of	ADP
fcis-8578	31	21	grayscale	grayscale	NOUN
fcis-8578	31	22	images	image	NOUN
fcis-8578	31	23	to	to	PART
fcis-8578	31	24	reduce	reduce	VERB
fcis-8578	31	25	redundancy	redundancy	NOUN
fcis-8578	31	26	while	while	SCONJ
fcis-8578	31	27	retaining	retain	VERB
fcis-8578	31	28	feature	feature	NOUN
fcis-8578	31	29	information	information	NOUN
fcis-8578	31	30	.	.	PUNCT
fcis-8578	32	1	additionally	additionally	ADV
fcis-8578	32	2	,	,	PUNCT
fcis-8578	32	3	we	we	PRON
fcis-8578	32	4	introduce	introduce	VERB
fcis-8578	32	5	an	an	DET
fcis-8578	32	6	attention	attention	NOUN
fcis-8578	32	7	mechanism	mechanism	NOUN
fcis-8578	32	8	module	module	NOUN
fcis-8578	32	9	to	to	PART
fcis-8578	32	10	extract	extract	VERB
fcis-8578	32	11	features	feature	NOUN
fcis-8578	32	12	effectively	effectively	ADV
fcis-8578	32	13	across	across	ADP
fcis-8578	32	14	multiple	multiple	ADJ
fcis-8578	32	15	dimensions	dimension	NOUN
fcis-8578	32	16	,	,	PUNCT
fcis-8578	32	17	reduce	reduce	VERB
fcis-8578	32	18	the	the	DET
fcis-8578	32	19	number	number	NOUN
fcis-8578	32	20	of	of	ADP
fcis-8578	32	21	training	training	NOUN
fcis-8578	32	22	parameters	parameter	NOUN
fcis-8578	32	23	in	in	ADP
fcis-8578	32	24	the	the	DET
fcis-8578	32	25	network	network	NOUN
fcis-8578	32	26	,	,	PUNCT
fcis-8578	32	27	improve	improve	VERB
fcis-8578	32	28	the	the	DET
fcis-8578	32	29	convergence	convergence	NOUN
fcis-8578	32	30	rate	rate	NOUN
fcis-8578	32	31	,	,	PUNCT
fcis-8578	32	32	and	and	CCONJ
fcis-8578	32	33	enhance	enhance	VERB
fcis-8578	32	34	network	network	NOUN
fcis-8578	32	35	performance	performance	NOUN
fcis-8578	32	36	.	.	PUNCT
fcis-8578	33	1	2	2	X
fcis-8578	33	2	.	.	X
fcis-8578	33	3	relevant	relevant	ADJ
fcis-8578	33	4	knowledge	knowledge	NOUN
fcis-8578	33	5	2.1	2.1	NUM
fcis-8578	33	6	.	.	PUNCT
fcis-8578	33	7	residual	residual	ADJ
fcis-8578	33	8	natural	natural	ADJ
fcis-8578	33	9	network	network	NOUN
fcis-8578	33	10	the	the	DET
fcis-8578	33	11	residual	residual	ADJ
fcis-8578	33	12	natural	natural	ADJ
fcis-8578	33	13	network	network	NOUN
fcis-8578	33	14	is	be	AUX
fcis-8578	33	15	a	a	DET
fcis-8578	33	16	deep	deep	ADJ
fcis-8578	33	17	neural	neural	ADJ
fcis-8578	33	18	network	network	NOUN
fcis-8578	33	19	structure	structure	NOUN
fcis-8578	33	20	,	,	PUNCT
fcis-8578	33	21	proposed	propose	VERB
fcis-8578	33	22	by	by	ADP
fcis-8578	33	23	he	he	PRON
fcis-8578	33	24	et	et	PROPN
fcis-8578	33	25	al	al	PROPN
fcis-8578	33	26	.	.	PROPN
fcis-8578	34	1	in	in	ADP
fcis-8578	34	2	2015	2015	NUM
fcis-8578	34	3	[	[	X
fcis-8578	34	4	17	17	NUM
fcis-8578	34	5	]	]	PUNCT
fcis-8578	34	6	.	.	PUNCT
fcis-8578	35	1	resnet	resnet	PROPN
fcis-8578	35	2	adds	add	VERB
fcis-8578	35	3	a	a	DET
fcis-8578	35	4	residual	residual	ADJ
fcis-8578	35	5	building	building	NOUN
fcis-8578	35	6	block	block	NOUN
fcis-8578	35	7	to	to	ADP
fcis-8578	35	8	the	the	DET
fcis-8578	35	9	convolutional	convolutional	ADJ
fcis-8578	35	10	neural	neural	ADJ
fcis-8578	35	11	network	network	NOUN
fcis-8578	35	12	,	,	PUNCT
fcis-8578	35	13	which	which	PRON
fcis-8578	35	14	theoretically	theoretically	ADV
fcis-8578	35	15	allows	allow	VERB
fcis-8578	35	16	the	the	DET
fcis-8578	35	17	network	network	NOUN
fcis-8578	35	18	depth	depth	NOUN
fcis-8578	35	19	to	to	PART
fcis-8578	35	20	increase	increase	VERB
fcis-8578	35	21	as	as	ADV
fcis-8578	35	22	infinitely	infinitely	ADV
fcis-8578	35	23	as	as	SCONJ
fcis-8578	35	24	the	the	DET
fcis-8578	35	25	hardware	hardware	NOUN
fcis-8578	35	26	allows	allow	VERB
fcis-8578	35	27	,	,	PUNCT
fcis-8578	35	28	without	without	ADP
fcis-8578	35	29	performance	performance	NOUN
fcis-8578	35	30	degradation	degradation	NOUN
fcis-8578	35	31	.	.	PUNCT
fcis-8578	36	1	it	it	PRON
fcis-8578	36	2	solves	solve	VERB
fcis-8578	36	3	the	the	DET
fcis-8578	36	4	problem	problem	NOUN
fcis-8578	36	5	of	of	ADP
fcis-8578	36	6	gradient	gradient	ADJ
fcis-8578	36	7	disappearance	disappearance	NOUN
fcis-8578	36	8	and	and	CCONJ
fcis-8578	36	9	gradient	gradient	NOUN
fcis-8578	36	10	explosion	explosion	NOUN
fcis-8578	36	11	during	during	ADP
fcis-8578	36	12	the	the	DET
fcis-8578	36	13	training	training	NOUN
fcis-8578	36	14	of	of	ADP
fcis-8578	36	15	deep	deep	ADJ
fcis-8578	36	16	neural	neural	ADJ
fcis-8578	36	17	networks	network	NOUN
fcis-8578	36	18	through	through	ADP
fcis-8578	36	19	shortcut	shortcut	NOUN
fcis-8578	36	20	connection	connection	NOUN
fcis-8578	36	21	,	,	PUNCT
fcis-8578	36	22	allowing	allow	VERB
fcis-8578	36	23	the	the	DET
fcis-8578	36	24	network	network	NOUN
fcis-8578	36	25	to	to	PART
fcis-8578	36	26	be	be	AUX
fcis-8578	36	27	trained	train	VERB
fcis-8578	36	28	more	more	ADV
fcis-8578	36	29	deeply	deeply	ADV
fcis-8578	36	30	and	and	CCONJ
fcis-8578	36	31	more	more	ADV
fcis-8578	36	32	easily	easily	ADV
fcis-8578	36	33	.	.	PUNCT
fcis-8578	37	1	the	the	DET
fcis-8578	37	2	residual	residual	ADJ
fcis-8578	37	3	structure	structure	NOUN
fcis-8578	37	4	block	block	NOUN
fcis-8578	37	5	is	be	AUX
fcis-8578	37	6	shown	show	VERB
fcis-8578	37	7	in	in	ADP
fcis-8578	37	8	fig	fig	NOUN
fcis-8578	37	9	.	.	PUNCT
fcis-8578	38	1	1	1	X
fcis-8578	38	2	.	.	X
fcis-8578	38	3	input	input	NOUN
fcis-8578	38	4	x	x	PUNCT
fcis-8578	38	5	output	output	NOUN
fcis-8578	38	6	h(x	h(x	PROPN
fcis-8578	38	7	)	)	PUNCT
fcis-8578	38	8	conv	conv	PROPN
fcis-8578	38	9	bn	bn	PROPN
fcis-8578	38	10	relu	relu	PROPN
fcis-8578	38	11	conv	conv	PROPN
fcis-8578	38	12	bn	bn	PROPN
fcis-8578	38	13	relu	relu	PROPN
fcis-8578	38	14	f(x	f(x	PROPN
fcis-8578	38	15	)	)	PUNCT
fcis-8578	38	16	x	x	SYM
fcis-8578	38	17	fig	fig	NOUN
fcis-8578	38	18	1	1	NUM
fcis-8578	38	19	.	.	PUNCT
fcis-8578	38	20	residual	residual	ADJ
fcis-8578	38	21	block	block	NOUN
fcis-8578	38	22	structure	structure	NOUN
fcis-8578	38	23	where	where	SCONJ
fcis-8578	38	24	x	x	PRON
fcis-8578	38	25	is	be	AUX
fcis-8578	38	26	the	the	DET
fcis-8578	38	27	input	input	NOUN
fcis-8578	38	28	to	to	ADP
fcis-8578	38	29	the	the	DET
fcis-8578	38	30	residual	residual	ADJ
fcis-8578	38	31	block	block	NOUN
fcis-8578	38	32	;	;	PUNCT
fcis-8578	38	33			PROPN
fcis-8578	38	34	f	f	PROPN
fcis-8578	38	35	x	x	PUNCT
fcis-8578	38	36	is	be	AUX
fcis-8578	38	37	the	the	DET
fcis-8578	38	38	residual	residual	ADJ
fcis-8578	38	39	mapping	mapping	NOUN
fcis-8578	38	40	function	function	NOUN
fcis-8578	38	41	;	;	PUNCT
fcis-8578	38	42	and	and	CCONJ
fcis-8578	38	43			NOUN
fcis-8578	38	44			SYM
fcis-8578	38	45			NOUN
fcis-8578	38	46	h	h	PUNCT
fcis-8578	39	1	x	x	PUNCT
fcis-8578	39	2	f	f	NOUN
fcis-8578	39	3	x	x	SYM
fcis-8578	39	4	x	x	PROPN
fcis-8578	39	5			PROPN
fcis-8578	39	6	is	be	AUX
fcis-8578	39	7	the	the	DET
fcis-8578	39	8	mapping	mapping	NOUN
fcis-8578	39	9	function	function	NOUN
fcis-8578	39	10	.	.	PUNCT
fcis-8578	40	1	the	the	DET
fcis-8578	40	2	size	size	NOUN
fcis-8578	40	3	of	of	ADP
fcis-8578	40	4	the	the	DET
fcis-8578	40	5	convolution	convolution	NOUN
fcis-8578	40	6	kernel	kernel	NOUN
fcis-8578	40	7	of	of	ADP
fcis-8578	40	8	the	the	DET
fcis-8578	40	9	convolution	convolution	NOUN
fcis-8578	40	10	layer	layer	NOUN
fcis-8578	40	11	in	in	ADP
fcis-8578	40	12	the	the	DET
fcis-8578	40	13	residual	residual	ADJ
fcis-8578	40	14	block	block	NOUN
fcis-8578	40	15	is	be	AUX
fcis-8578	40	16	3	3	NUM
fcis-8578	40	17	3	3	NUM
fcis-8578	40	18	.	.	PUNCT
fcis-8578	41	1	2.2	2.2	NUM
fcis-8578	41	2	.	.	PUNCT
fcis-8578	41	3	coordinate	coordinate	NOUN
fcis-8578	41	4	attention	attention	NOUN
fcis-8578	41	5	mechanism	mechanism	NOUN
fcis-8578	41	6	the	the	DET
fcis-8578	41	7	coordinate	coordinate	NOUN
fcis-8578	41	8	attention	attention	NOUN
fcis-8578	41	9	(	(	PUNCT
fcis-8578	41	10	ca	ca	NOUN
fcis-8578	41	11	)	)	PUNCT
fcis-8578	41	12	mechanism	mechanism	NOUN
fcis-8578	41	13	is	be	AUX
fcis-8578	41	14	designed	design	VERB
fcis-8578	41	15	to	to	PART
fcis-8578	41	16	obtain	obtain	VERB
fcis-8578	41	17	detailed	detailed	ADJ
fcis-8578	41	18	location	location	NOUN
fcis-8578	41	19	information	information	NOUN
fcis-8578	41	20	while	while	SCONJ
fcis-8578	41	21	maintaining	maintain	VERB
fcis-8578	41	22	channel	channel	NOUN
fcis-8578	41	23	information	information	NOUN
fcis-8578	41	24	[	[	X
fcis-8578	41	25	18	18	NUM
fcis-8578	41	26	]	]	PUNCT
fcis-8578	41	27	.	.	PUNCT
fcis-8578	42	1	unlike	unlike	ADP
fcis-8578	42	2	channel	channel	NOUN
fcis-8578	42	3	attention	attention	NOUN
fcis-8578	42	4	,	,	PUNCT
fcis-8578	42	5	which	which	PRON
fcis-8578	42	6	converts	convert	VERB
fcis-8578	42	7	a	a	DET
fcis-8578	42	8	feature	feature	NOUN
fcis-8578	42	9	tensor	tensor	NOUN
fcis-8578	42	10	into	into	ADP
fcis-8578	42	11	a	a	DET
fcis-8578	42	12	single	single	ADJ
fcis-8578	42	13	feature	feature	NOUN
fcis-8578	42	14	vector	vector	NOUN
fcis-8578	42	15	via	via	ADP
fcis-8578	42	16	2dimensional	2dimensional	ADJ
fcis-8578	42	17	global	global	ADJ
fcis-8578	42	18	pooling	pooling	NOUN
fcis-8578	42	19	,	,	PUNCT
fcis-8578	42	20	the	the	DET
fcis-8578	42	21	ca	ca	NOUN
fcis-8578	42	22	mechanism	mechanism	NOUN
fcis-8578	42	23	decomposes	decompose	VERB
fcis-8578	42	24	channel	channel	NOUN
fcis-8578	42	25	attention	attention	NOUN
fcis-8578	42	26	into	into	ADP
fcis-8578	42	27	two	two	NUM
fcis-8578	42	28	1	1	NUM
fcis-8578	42	29	-	-	PUNCT
fcis-8578	42	30	dimensional	dimensional	ADJ
fcis-8578	42	31	feature	feature	NOUN
fcis-8578	42	32	encodings	encoding	NOUN
fcis-8578	42	33	and	and	CCONJ
fcis-8578	42	34	aggregates	aggregate	NOUN
fcis-8578	42	35	features	feature	VERB
fcis-8578	42	36	along	along	ADP
fcis-8578	42	37	two	two	NUM
fcis-8578	42	38	spatial	spatial	ADJ
fcis-8578	42	39	directions	direction	NOUN
fcis-8578	42	40	,	,	PUNCT
fcis-8578	42	41	with	with	ADP
fcis-8578	42	42	attention	attention	NOUN
fcis-8578	42	43	weights	weight	NOUN
fcis-8578	42	44	calculated	calculate	VERB
fcis-8578	42	45	based	base	VERB
fcis-8578	42	46	on	on	ADP
fcis-8578	42	47	the	the	DET
fcis-8578	42	48	spatial	spatial	ADJ
fcis-8578	42	49	location	location	NOUN
fcis-8578	42	50	coordinates	coordinate	NOUN
fcis-8578	42	51	of	of	ADP
fcis-8578	42	52	features	feature	NOUN
fcis-8578	42	53	in	in	ADP
fcis-8578	42	54	the	the	DET
fcis-8578	42	55	input	input	NOUN
fcis-8578	42	56	image	image	NOUN
fcis-8578	42	57	or	or	CCONJ
fcis-8578	42	58	feature	feature	NOUN
fcis-8578	42	59	map	map	NOUN
fcis-8578	42	60	.	.	PUNCT
fcis-8578	43	1	this	this	DET
fcis-8578	43	2	approach	approach	NOUN
fcis-8578	43	3	differs	differ	VERB
fcis-8578	43	4	from	from	ADP
fcis-8578	43	5	common	common	ADJ
fcis-8578	43	6	attentional	attentional	ADJ
fcis-8578	43	7	mechanisms	mechanism	NOUN
fcis-8578	43	8	,	,	PUNCT
fcis-8578	43	9	such	such	ADJ
fcis-8578	43	10	as	as	ADP
fcis-8578	43	11	the	the	DET
fcis-8578	43	12	squeeze	squeeze	NOUN
fcis-8578	43	13	-	-	PUNCT
fcis-8578	43	14	and	and	CCONJ
fcis-8578	43	15	-	-	PUNCT
fcis-8578	43	16	excitation	excitation	NOUN
fcis-8578	43	17	(	(	PUNCT
fcis-8578	43	18	se	se	ADJ
fcis-8578	43	19	)	)	PUNCT
fcis-8578	43	20	network	network	NOUN
fcis-8578	43	21	,	,	PUNCT
fcis-8578	43	22	which	which	PRON
fcis-8578	43	23	only	only	ADV
fcis-8578	43	24	considers	consider	VERB
fcis-8578	43	25	internal	internal	ADJ
fcis-8578	43	26	channel	channel	NOUN
fcis-8578	43	27	information	information	NOUN
fcis-8578	43	28	and	and	CCONJ
fcis-8578	43	29	ignores	ignore	VERB
fcis-8578	43	30	location	location	NOUN
fcis-8578	43	31	information	information	NOUN
fcis-8578	43	32	and	and	CCONJ
fcis-8578	43	33	spatial	spatial	ADJ
fcis-8578	43	34	structure	structure	NOUN
fcis-8578	43	35	important	important	ADJ
fcis-8578	43	36	in	in	ADP
fcis-8578	43	37	visual	visual	ADJ
fcis-8578	43	38	detection	detection	NOUN
fcis-8578	43	39	tasks	task	NOUN
fcis-8578	43	40	[	[	X
fcis-8578	43	41	19	19	NUM
fcis-8578	43	42	]	]	PUNCT
fcis-8578	43	43	.	.	PUNCT
fcis-8578	44	1	sknet	sknet	NOUN
fcis-8578	44	2	(	(	PUNCT
fcis-8578	44	3	selective	selective	ADJ
fcis-8578	44	4	kernel	kernel	NOUN
fcis-8578	44	5	networks	network	NOUN
fcis-8578	44	6	)	)	PUNCT
fcis-8578	44	7	requires	require	VERB
fcis-8578	44	8	a	a	DET
fcis-8578	44	9	large	large	ADJ
fcis-8578	44	10	amount	amount	NOUN
fcis-8578	44	11	of	of	ADP
fcis-8578	44	12	computation	computation	NOUN
fcis-8578	44	13	,	,	PUNCT
fcis-8578	44	14	which	which	PRON
fcis-8578	44	15	makes	make	VERB
fcis-8578	44	16	sknet	sknet	NOUN
fcis-8578	44	17	's	's	PART
fcis-8578	44	18	computational	computational	ADJ
fcis-8578	44	19	resources	resource	NOUN
fcis-8578	44	20	more	more	ADV
fcis-8578	44	21	demanding	demanding	ADJ
fcis-8578	44	22	than	than	ADP
fcis-8578	44	23	some	some	DET
fcis-8578	44	24	other	other	ADJ
fcis-8578	44	25	models	model	NOUN
fcis-8578	44	26	.	.	PUNCT
fcis-8578	45	1	at	at	ADP
fcis-8578	45	2	the	the	DET
fcis-8578	45	3	same	same	ADJ
fcis-8578	45	4	time	time	NOUN
fcis-8578	45	5	,	,	PUNCT
fcis-8578	45	6	the	the	DET
fcis-8578	45	7	selective	selective	ADJ
fcis-8578	45	8	multi	multi	ADJ
fcis-8578	45	9	-	-	ADJ
fcis-8578	45	10	scale	scale	ADJ
fcis-8578	45	11	feature	feature	NOUN
fcis-8578	45	12	fusion	fusion	NOUN
fcis-8578	45	13	mechanism	mechanism	NOUN
fcis-8578	45	14	requires	require	VERB
fcis-8578	45	15	different	different	ADJ
fcis-8578	45	16	weights	weight	NOUN
fcis-8578	45	17	to	to	PART
fcis-8578	45	18	be	be	AUX
fcis-8578	45	19	applied	apply	VERB
fcis-8578	45	20	to	to	ADP
fcis-8578	45	21	different	different	ADJ
fcis-8578	45	22	feature	feature	NOUN
fcis-8578	45	23	maps	map	NOUN
fcis-8578	45	24	,	,	PUNCT
fcis-8578	45	25	which	which	PRON
fcis-8578	45	26	makes	make	VERB
fcis-8578	45	27	sknet	sknet	NOUN
fcis-8578	45	28	sensitive	sensitive	ADJ
fcis-8578	45	29	to	to	ADP
fcis-8578	45	30	the	the	DET
fcis-8578	45	31	learning	learning	NOUN
fcis-8578	45	32	rate	rate	NOUN
fcis-8578	45	33	,	,	PUNCT
fcis-8578	45	34	and	and	CCONJ
fcis-8578	45	35	if	if	SCONJ
fcis-8578	45	36	the	the	DET
fcis-8578	45	37	learning	learning	NOUN
fcis-8578	45	38	rate	rate	NOUN
fcis-8578	45	39	is	be	AUX
fcis-8578	45	40	not	not	PART
fcis-8578	45	41	set	set	VERB
fcis-8578	45	42	properly	properly	ADV
fcis-8578	45	43	,	,	PUNCT
fcis-8578	45	44	the	the	DET
fcis-8578	45	45	model	model	NOUN
fcis-8578	45	46	will	will	AUX
fcis-8578	45	47	have	have	VERB
fcis-8578	45	48	difficulty	difficulty	NOUN
fcis-8578	45	49	converging	converge	VERB
fcis-8578	45	50	or	or	CCONJ
fcis-8578	45	51	even	even	ADV
fcis-8578	45	52	not	not	PART
fcis-8578	45	53	converging	converge	VERB
fcis-8578	45	54	[	[	X
fcis-8578	45	55	20	20	NUM
fcis-8578	45	56	]	]	PUNCT
fcis-8578	45	57	.	.	PUNCT
fcis-8578	46	1	the	the	DET
fcis-8578	46	2	specific	specific	ADJ
fcis-8578	46	3	structure	structure	NOUN
fcis-8578	46	4	of	of	ADP
fcis-8578	46	5	the	the	DET
fcis-8578	46	6	ca	ca	NOUN
fcis-8578	46	7	module	module	NOUN
fcis-8578	46	8	is	be	AUX
fcis-8578	46	9	illustrated	illustrate	VERB
fcis-8578	46	10	in	in	ADP
fcis-8578	46	11	fig	fig	NOUN
fcis-8578	46	12	.	.	PUNCT
fcis-8578	47	1	2	2	X
fcis-8578	47	2	.	.	X
fcis-8578	47	3	input	input	NOUN
fcis-8578	47	4	feature	feature	NOUN
fcis-8578	47	5	map	map	NOUN
fcis-8578	47	6	coordinate	coordinate	NOUN
fcis-8578	47	7	attention	attention	NOUN
fcis-8578	47	8	result	result	NOUN
fcis-8578	47	9	avgpool	avgpool	PROPN
fcis-8578	47	10	w	w	PROPN
fcis-8578	47	11	avgpool	avgpool	PROPN
fcis-8578	47	12	h	h	PROPN
fcis-8578	47	13	sigmoid	sigmoid	NOUN
fcis-8578	47	14	contact	contact	NOUN
fcis-8578	47	15	conv	conv	ADJ
fcis-8578	47	16	layer	layer	NOUN
fcis-8578	47	17	conv	conv	PROPN
fcis-8578	47	18	layer	layer	NOUN
fcis-8578	47	19	h	h	PROPN
fcis-8578	47	20	conv	conv	ADJ
fcis-8578	47	21	layer	layer	NOUN
fcis-8578	47	22	w	w	PROPN
fcis-8578	47	23	fig	fig	NOUN
fcis-8578	47	24	2	2	NUM
fcis-8578	47	25	.	.	PUNCT
fcis-8578	47	26	structure	structure	NOUN
fcis-8578	47	27	of	of	ADP
fcis-8578	47	28	the	the	DET
fcis-8578	47	29	ca	ca	NOUN
fcis-8578	47	30	attention	attention	NOUN
fcis-8578	47	31	for	for	ADP
fcis-8578	47	32	the	the	DET
fcis-8578	47	33	input	input	NOUN
fcis-8578	47	34	features	feature	NOUN
fcis-8578	47	35	,	,	PUNCT
fcis-8578	47	36	the	the	DET
fcis-8578	47	37	ca	ca	NOUN
fcis-8578	47	38	module	module	NOUN
fcis-8578	47	39	first	first	ADV
fcis-8578	47	40	uses	use	VERB
fcis-8578	47	41	two	two	NUM
fcis-8578	47	42	1dimensional	1dimensional	NUM
fcis-8578	47	43	global	global	ADJ
fcis-8578	47	44	pooling	pool	VERB
fcis-8578	47	45	operations	operation	NOUN
fcis-8578	47	46	to	to	PART
fcis-8578	47	47	aggregate	aggregate	VERB
fcis-8578	47	48	features	feature	NOUN
fcis-8578	47	49	from	from	ADP
fcis-8578	47	50	two	two	NUM
fcis-8578	47	51	spatial	spatial	ADJ
fcis-8578	47	52	directions	direction	NOUN
fcis-8578	47	53	,	,	PUNCT
fcis-8578	47	54	vertical	vertical	ADJ
fcis-8578	47	55	and	and	CCONJ
fcis-8578	47	56	horizontal	horizontal	ADJ
fcis-8578	47	57	,	,	PUNCT
fcis-8578	47	58	to	to	PART
fcis-8578	47	59	obtain	obtain	VERB
fcis-8578	47	60	a	a	DET
fcis-8578	47	61	feature	feature	NOUN
fcis-8578	47	62	map	map	NOUN
fcis-8578	47	63	in	in	ADP
fcis-8578	47	64	two	two	NUM
fcis-8578	47	65	different	different	ADJ
fcis-8578	47	66	directions	direction	NOUN
fcis-8578	47	67	.	.	PUNCT
fcis-8578	48	1	based	base	VERB
fcis-8578	48	2	on	on	ADP
fcis-8578	48	3	the	the	DET
fcis-8578	48	4	height	height	NOUN
fcis-8578	48	5	h	h	NOUN
fcis-8578	48	6	and	and	CCONJ
fcis-8578	48	7	width	width	VERB
fcis-8578	48	8	w	w	NOUN
fcis-8578	48	9	of	of	ADP
fcis-8578	48	10	the	the	DET
fcis-8578	48	11	input	input	NOUN
fcis-8578	48	12	feature	feature	NOUN
fcis-8578	48	13	map	map	NOUN
fcis-8578	48	14	,	,	PUNCT
fcis-8578	48	15	an	an	DET
fcis-8578	48	16	average	average	ADJ
fcis-8578	48	17	pooling	pooling	NOUN
fcis-8578	48	18	layer	layer	NOUN
fcis-8578	48	19	of	of	ADP
fcis-8578	48	20	dimensions	dimension	NOUN
fcis-8578	48	21			PROPN
fcis-8578	48	22	,1h	,1h	PROPN
fcis-8578	48	23	and	and	CCONJ
fcis-8578	48	24			PROPN
fcis-8578	48	25	1,w	1,w	PROPN
fcis-8578	48	26	is	be	AUX
fcis-8578	48	27	used	use	VERB
fcis-8578	48	28	to	to	PART
fcis-8578	48	29	encode	encode	VERB
fcis-8578	48	30	each	each	DET
fcis-8578	48	31	channel	channel	NOUN
fcis-8578	48	32	along	along	ADP
fcis-8578	48	33	the	the	DET
fcis-8578	48	34	vertical	vertical	ADJ
fcis-8578	48	35	and	and	CCONJ
fcis-8578	48	36	horizontal	horizontal	ADJ
fcis-8578	48	37	coordinates	coordinate	NOUN
fcis-8578	48	38	,	,	PUNCT
fcis-8578	48	39	respectively	respectively	ADV
fcis-8578	48	40	,	,	PUNCT
fcis-8578	48	41	to	to	PART
fcis-8578	48	42	obtain	obtain	VERB
fcis-8578	48	43	a	a	DET
fcis-8578	48	44	feature	feature	NOUN
fcis-8578	48	45	map	map	NOUN
fcis-8578	48	46	incorporating	incorporate	VERB
fcis-8578	48	47	direction	direction	NOUN
fcis-8578	48	48	-	-	PUNCT
fcis-8578	48	49	specific	specific	ADJ
fcis-8578	48	50	information	information	NOUN
fcis-8578	48	51	,	,	PUNCT
fcis-8578	48	52	with	with	ADP
fcis-8578	48	53	the	the	DET
fcis-8578	48	54	expressions	expression	NOUN
fcis-8578	48	55	shown	show	VERB
fcis-8578	48	56	in	in	ADP
fcis-8578	48	57	equations	equation	NOUN
fcis-8578	48	58	(	(	PUNCT
fcis-8578	48	59	1	1	NUM
fcis-8578	48	60	)	)	PUNCT
fcis-8578	48	61	and	and	CCONJ
fcis-8578	48	62	(	(	PUNCT
fcis-8578	48	63	2	2	NUM
fcis-8578	48	64	)	)	PUNCT
fcis-8578	48	65	.	.	PUNCT
fcis-8578	49	1			NOUN
fcis-8578	50	1			PUNCT
fcis-8578	50	2			NOUN
fcis-8578	50	3			PROPN
fcis-8578	50	4	0	0	NUM
fcis-8578	50	5	1	1	NUM
fcis-8578	50	6	,	,	PUNCT
fcis-8578	50	7	h	h	NOUN
fcis-8578	51	1	c	c	NOUN
fcis-8578	51	2	c	c	NOUN
fcis-8578	52	1	i	i	PRON
fcis-8578	52	2	w	w	PROPN
fcis-8578	52	3	f	f	PROPN
fcis-8578	52	4	h	h	NOUN
fcis-8578	53	1	f	f	NOUN
fcis-8578	53	2	h	h	NOUN
fcis-8578	54	1	i	i	PRON
fcis-8578	54	2	w	w	VERB
fcis-8578	54	3			NOUN
fcis-8578	54	4			NOUN
fcis-8578	54	5			NOUN
fcis-8578	54	6			X
fcis-8578	54	7	(	(	PUNCT
fcis-8578	54	8	1	1	X
fcis-8578	54	9	)	)	PUNCT
fcis-8578	54	10			NOUN
fcis-8578	55	1			SYM
fcis-8578	55	2			NOUN
fcis-8578	55	3			PROPN
fcis-8578	55	4	0	0	NUM
fcis-8578	55	5	1	1	NUM
fcis-8578	55	6	,	,	PUNCT
fcis-8578	55	7	w	w	NOUN
fcis-8578	55	8	c	c	NOUN
fcis-8578	55	9	c	c	PROPN
fcis-8578	55	10	j	j	PROPN
fcis-8578	55	11	h	h	NOUN
fcis-8578	56	1	f	f	PROPN
fcis-8578	56	2	w	w	PROPN
fcis-8578	56	3	f	f	PROPN
fcis-8578	56	4	j	j	PROPN
fcis-8578	56	5	w	w	PROPN
fcis-8578	56	6	h	h	PROPN
fcis-8578	56	7			PROPN
fcis-8578	56	8			NOUN
fcis-8578	56	9			NUM
fcis-8578	56	10			X
fcis-8578	56	11	(	(	PUNCT
fcis-8578	56	12	2	2	X
fcis-8578	56	13	)	)	PUNCT
fcis-8578	56	14	where	where	SCONJ
fcis-8578	56	15	cf	cf	NOUN
fcis-8578	56	16	denotes	denote	VERB
fcis-8578	56	17	the	the	DET
fcis-8578	56	18	input	input	NOUN
fcis-8578	56	19	feature	feature	NOUN
fcis-8578	56	20	map	map	NOUN
fcis-8578	56	21	and	and	CCONJ
fcis-8578	56	22	c	c	NOUN
fcis-8578	56	23	denotes	denote	VERB
fcis-8578	56	24	the	the	DET
fcis-8578	56	25	channel	channel	NOUN
fcis-8578	56	26	of	of	ADP
fcis-8578	56	27	the	the	DET
fcis-8578	56	28	input	input	NOUN
fcis-8578	56	29	feature	feature	NOUN
fcis-8578	56	30	vector	vector	NOUN
fcis-8578	56	31	;	;	PUNCT
fcis-8578	56	32	h	h	NOUN
fcis-8578	56	33	cf	cf	NOUN
fcis-8578	56	34	denotes	denote	VERB
fcis-8578	56	35	the	the	DET
fcis-8578	56	36	vertical	vertical	ADJ
fcis-8578	56	37	output	output	NOUN
fcis-8578	56	38	feature	feature	NOUN
fcis-8578	56	39	at	at	ADP
fcis-8578	56	40	height	height	NOUN
fcis-8578	56	41	h	h	NOUN
fcis-8578	56	42	;	;	PUNCT
fcis-8578	56	43	w	w	X
fcis-8578	56	44	cf	cf	NOUN
fcis-8578	56	45	denotes	denote	VERB
fcis-8578	56	46	the	the	DET
fcis-8578	56	47	horizontal	horizontal	ADJ
fcis-8578	56	48	output	output	NOUN
fcis-8578	56	49	feature	feature	NOUN
fcis-8578	56	50	at	at	ADP
fcis-8578	56	51	width	width	PROPN
fcis-8578	56	52	w	w	PROPN
fcis-8578	56	53	.	.	PUNCT
fcis-8578	57	1	eqs	eqs	PROPN
fcis-8578	57	2	.	.	PUNCT
fcis-8578	58	1	(	(	PUNCT
fcis-8578	58	2	1	1	X
fcis-8578	58	3	)	)	PUNCT
fcis-8578	58	4	and	and	CCONJ
fcis-8578	58	5	(	(	PUNCT
fcis-8578	58	6	2	2	X
fcis-8578	58	7	)	)	PUNCT
fcis-8578	58	8	aggregate	aggregate	ADJ
fcis-8578	58	9	features	feature	NOUN
fcis-8578	58	10	and	and	CCONJ
fcis-8578	58	11	generate	generate	VERB
fcis-8578	58	12	a	a	DET
fcis-8578	58	13	pair	pair	NOUN
fcis-8578	58	14	of	of	ADP
fcis-8578	58	15	positional	positional	ADJ
fcis-8578	58	16	feature	feature	NOUN
fcis-8578	58	17	mappings	mapping	NOUN
fcis-8578	58	18	that	that	PRON
fcis-8578	58	19	can	can	AUX
fcis-8578	58	20	capture	capture	VERB
fcis-8578	58	21	long	long	ADJ
fcis-8578	58	22	-	-	PUNCT
fcis-8578	58	23	range	range	NOUN
fcis-8578	58	24	dependency	dependency	NOUN
fcis-8578	58	25	information	information	NOUN
fcis-8578	58	26	along	along	ADP
fcis-8578	58	27	the	the	DET
fcis-8578	58	28	horizontal	horizontal	ADJ
fcis-8578	58	29	space	space	NOUN
fcis-8578	58	30	and	and	CCONJ
fcis-8578	58	31	retain	retain	VERB
fcis-8578	58	32	accurate	accurate	ADJ
fcis-8578	58	33	positional	positional	ADJ
fcis-8578	58	34	information	information	NOUN
fcis-8578	58	35	in	in	ADP
fcis-8578	58	36	the	the	DET
fcis-8578	58	37	vertical	vertical	ADJ
fcis-8578	58	38	space	space	NOUN
fcis-8578	58	39	,	,	PUNCT
fcis-8578	58	40	aiding	aid	VERB
fcis-8578	58	41	the	the	DET
fcis-8578	58	42	model	model	NOUN
fcis-8578	58	43	in	in	ADP
fcis-8578	58	44	the	the	DET
fcis-8578	58	45	precise	precise	ADJ
fcis-8578	58	46	positioning	positioning	NOUN
fcis-8578	58	47	of	of	ADP
fcis-8578	58	48	the	the	DET
fcis-8578	58	49	target	target	NOUN
fcis-8578	58	50	region	region	NOUN
fcis-8578	58	51	.	.	PUNCT
fcis-8578	59	1	the	the	DET
fcis-8578	59	2	above	above	ADJ
fcis-8578	59	3	two	two	NUM
fcis-8578	59	4	feature	feature	NOUN
fcis-8578	59	5	maps	map	NOUN
fcis-8578	59	6	are	be	AUX
fcis-8578	59	7	then	then	ADV
fcis-8578	59	8	encoded	encode	VERB
fcis-8578	59	9	into	into	ADP
fcis-8578	59	10	two	two	NUM
fcis-8578	59	11	attention	attention	NOUN
fcis-8578	59	12	maps	map	NOUN
fcis-8578	59	13	using	use	VERB
fcis-8578	59	14	the	the	DET
fcis-8578	59	15	coordinate	coordinate	ADJ
fcis-8578	59	16	attention	attention	NOUN
fcis-8578	59	17	generation	generation	NOUN
fcis-8578	59	18	transformation	transformation	NOUN
fcis-8578	59	19	,	,	PUNCT
fcis-8578	59	20	for	for	ADP
fcis-8578	59	21	the	the	DET
fcis-8578	59	22	input	input	NOUN
fcis-8578	59	23	feature	feature	NOUN
fcis-8578	59	24	maps	map	NOUN
fcis-8578	59	25	,	,	PUNCT
fcis-8578	59	26	the	the	DET
fcis-8578	59	27	outputs	output	NOUN
fcis-8578	59	28	correspond	correspond	VERB
fcis-8578	59	29	to	to	ADP
fcis-8578	59	30	eqs	eqs	PROPN
fcis-8578	59	31	.	.	PUNCT
fcis-8578	60	1	(	(	PUNCT
fcis-8578	60	2	3	3	X
fcis-8578	60	3	)	)	PUNCT
fcis-8578	60	4	and	and	CCONJ
fcis-8578	60	5	(	(	PUNCT
fcis-8578	60	6	4	4	X
fcis-8578	60	7	)	)	PUNCT
fcis-8578	60	8	respectively	respectively	ADV
fcis-8578	60	9	.	.	PUNCT
fcis-8578	61	1			NOUN
fcis-8578	62	1			NOUN
fcis-8578	62	2			PROPN
fcis-8578	62	3	h	h	INTJ
fcis-8578	63	1	h	h	NOUN
fcis-8578	64	1	c	c	NOUN
fcis-8578	64	2	h	h	NOUN
fcis-8578	65	1	cg	cg	NOUN
fcis-8578	65	2	c	c	AUX
fcis-8578	65	3	f	f	VERB
fcis-8578	65	4			NUM
fcis-8578	65	5	(	(	PUNCT
fcis-8578	65	6	3	3	NUM
fcis-8578	65	7	)	)	PUNCT
fcis-8578	65	8			NOUN
fcis-8578	65	9			NOUN
fcis-8578	65	10			NOUN
fcis-8578	65	11	w	w	X
fcis-8578	66	1	w	w	PROPN
fcis-8578	66	2	c	c	PROPN
fcis-8578	66	3	w	w	PROPN
fcis-8578	66	4	cg	cg	NOUN
fcis-8578	66	5	c	c	PROPN
fcis-8578	66	6	f	f	PROPN
fcis-8578	66	7			NUM
fcis-8578	66	8	(	(	PUNCT
fcis-8578	66	9	4	4	NUM
fcis-8578	66	10	)	)	PUNCT
fcis-8578	66	11	where	where	SCONJ
fcis-8578	66	12	hc	hc	PROPN
fcis-8578	66	13	and	and	CCONJ
fcis-8578	66	14	wc	wc	PROPN
fcis-8578	66	15	represent	represent	VERB
fcis-8578	66	16	1	1	NUM
fcis-8578	66	17	1	1	NUM
fcis-8578	66	18	convolution	convolution	NOUN
fcis-8578	66	19	operations	operation	NOUN
fcis-8578	66	20	in	in	ADP
fcis-8578	66	21	the	the	DET
fcis-8578	66	22	vertical	vertical	ADJ
fcis-8578	66	23	and	and	CCONJ
fcis-8578	66	24	horizontal	horizontal	ADJ
fcis-8578	66	25	directions	direction	NOUN
fcis-8578	66	26	,	,	PUNCT
fcis-8578	66	27	respectively	respectively	ADV
fcis-8578	66	28	;	;	PUNCT
fcis-8578	66	29			PROPN
fcis-8578	66	30	is	be	AUX
fcis-8578	66	31	the	the	DET
fcis-8578	66	32	sigmoid	sigmoid	NOUN
fcis-8578	66	33	activation	activation	NOUN
fcis-8578	66	34	function	function	NOUN
fcis-8578	66	35	;	;	PUNCT
fcis-8578	66	36			NUM
fcis-8578	66	37	is	be	AUX
fcis-8578	66	38	the	the	DET
fcis-8578	66	39	nonlinear	nonlinear	ADJ
fcis-8578	66	40	activation	activation	NOUN
fcis-8578	66	41	function	function	NOUN
fcis-8578	66	42	;	;	PUNCT
fcis-8578	66	43	h	h	NOUN
fcis-8578	66	44	cg	cg	NOUN
fcis-8578	66	45	and	and	CCONJ
fcis-8578	66	46	w	w	PROPN
fcis-8578	66	47	cg	cg	NOUN
fcis-8578	66	48	are	be	AUX
fcis-8578	66	49	the	the	DET
fcis-8578	66	50	horizontally	horizontally	NOUN
fcis-8578	66	51	and	and	CCONJ
fcis-8578	66	52	vertically	vertically	ADV
fcis-8578	66	53	generated	generate	VERB
fcis-8578	66	54	attentional	attentional	ADJ
fcis-8578	66	55	feature	feature	NOUN
fcis-8578	66	56	maps	map	NOUN
fcis-8578	66	57	,	,	PUNCT
fcis-8578	66	58	respectively	respectively	ADV
fcis-8578	66	59	.	.	PUNCT
fcis-8578	67	1	the	the	DET
fcis-8578	67	2	final	final	ADJ
fcis-8578	67	3	output	output	NOUN
fcis-8578	67	4	of	of	ADP
fcis-8578	67	5	the	the	DET
fcis-8578	67	6	ca	ca	NOUN
fcis-8578	67	7	module	module	NOUN
fcis-8578	67	8	combines	combine	VERB
fcis-8578	67	9	h	h	PRON
fcis-8578	67	10	cg	cg	NOUN
fcis-8578	67	11	and	and	CCONJ
fcis-8578	67	12	w	w	PROPN
fcis-8578	67	13	cg	cg	NOUN
fcis-8578	67	14	into	into	ADP
fcis-8578	67	15	a	a	DET
fcis-8578	67	16	weight	weight	NOUN
fcis-8578	67	17	matrix	matrix	NOUN
fcis-8578	67	18	,	,	PUNCT
fcis-8578	67	19	with	with	ADP
fcis-8578	67	20	eq	eq	NOUN
fcis-8578	67	21	.	.	PUNCT
fcis-8578	68	1	(	(	PUNCT
fcis-8578	68	2	5	5	NUM
fcis-8578	68	3	)	)	PUNCT
fcis-8578	68	4	.	.	PUNCT
fcis-8578	69	1			NOUN
fcis-8578	70	1			PUNCT
fcis-8578	70	2			NOUN
fcis-8578	70	3			SYM
fcis-8578	70	4			NOUN
fcis-8578	70	5			PUNCT
fcis-8578	70	6			PROPN
fcis-8578	70	7			PROPN
fcis-8578	70	8	,	,	PUNCT
fcis-8578	70	9	,	,	PUNCT
fcis-8578	70	10	h	h	PROPN
fcis-8578	70	11	w	w	NOUN
fcis-8578	70	12	c	c	NOUN
fcis-8578	70	13	c	c	NOUN
fcis-8578	70	14	cout	cout	NOUN
fcis-8578	71	1	i	i	PRON
fcis-8578	71	2	j	j	NOUN
fcis-8578	71	3	x	x	VERB
fcis-8578	72	1	i	i	PRON
fcis-8578	72	2	j	j	NOUN
fcis-8578	73	1	g	g	NOUN
fcis-8578	73	2	i	i	PRON
fcis-8578	73	3	g	g	PROPN
fcis-8578	73	4	j	j	PROPN
fcis-8578	73	5			PROPN
fcis-8578	73	6			PROPN
fcis-8578	73	7	(	(	PUNCT
fcis-8578	73	8	5	5	NUM
fcis-8578	73	9	)	)	PUNCT
fcis-8578	73	10	the	the	DET
fcis-8578	73	11	ca	ca	NOUN
fcis-8578	73	12	module	module	NOUN
fcis-8578	73	13	applies	apply	VERB
fcis-8578	73	14	simultaneous	simultaneous	ADJ
fcis-8578	73	15	attention	attention	NOUN
fcis-8578	73	16	to	to	ADP
fcis-8578	73	17	the	the	DET
fcis-8578	73	18	input	input	NOUN
fcis-8578	73	19	104	104	NUM
fcis-8578	73	20	features	feature	NOUN
fcis-8578	73	21	in	in	ADP
fcis-8578	73	22	both	both	CCONJ
fcis-8578	73	23	horizontal	horizontal	ADJ
fcis-8578	73	24	and	and	CCONJ
fcis-8578	73	25	vertical	vertical	ADJ
fcis-8578	73	26	directions	direction	NOUN
fcis-8578	73	27	to	to	PART
fcis-8578	73	28	achieve	achieve	VERB
fcis-8578	73	29	precise	precise	ADJ
fcis-8578	73	30	positioning	positioning	NOUN
fcis-8578	73	31	of	of	ADP
fcis-8578	73	32	the	the	DET
fcis-8578	73	33	target	target	NOUN
fcis-8578	73	34	area	area	NOUN
fcis-8578	73	35	.	.	PUNCT
fcis-8578	74	1	2.3	2.3	NUM
fcis-8578	74	2	.	.	PUNCT
fcis-8578	74	3	ca	can	AUX
fcis-8578	74	4	-	-	PUNCT
fcis-8578	74	5	resnet18	resnet18	NOUN
fcis-8578	74	6	model	model	NOUN
fcis-8578	74	7	structure	structure	NOUN
fcis-8578	74	8	in	in	ADP
fcis-8578	74	9	this	this	DET
fcis-8578	74	10	paper	paper	NOUN
fcis-8578	74	11	,	,	PUNCT
fcis-8578	74	12	the	the	DET
fcis-8578	74	13	resnet18	resnet18	NOUN
fcis-8578	74	14	architecture	architecture	NOUN
fcis-8578	74	15	was	be	AUX
fcis-8578	74	16	chosen	choose	VERB
fcis-8578	74	17	to	to	PART
fcis-8578	74	18	be	be	AUX
fcis-8578	74	19	combined	combine	VERB
fcis-8578	74	20	with	with	ADP
fcis-8578	74	21	the	the	DET
fcis-8578	74	22	ca	ca	NOUN
fcis-8578	74	23	attention	attention	NOUN
fcis-8578	74	24	mechanism	mechanism	NOUN
fcis-8578	74	25	module	module	NOUN
fcis-8578	74	26	.	.	PUNCT
fcis-8578	75	1	in	in	ADP
fcis-8578	75	2	particular	particular	ADJ
fcis-8578	75	3	,	,	PUNCT
fcis-8578	75	4	the	the	DET
fcis-8578	75	5	ca	ca	NOUN
fcis-8578	75	6	-	-	PUNCT
fcis-8578	75	7	resnet18	resnet18	NOUN
fcis-8578	75	8	diagnostic	diagnostic	ADJ
fcis-8578	75	9	network	network	NOUN
fcis-8578	75	10	structure	structure	NOUN
fcis-8578	75	11	is	be	AUX
fcis-8578	75	12	generally	generally	ADV
fcis-8578	75	13	divided	divide	VERB
fcis-8578	75	14	into	into	ADP
fcis-8578	75	15	three	three	NUM
fcis-8578	75	16	parts	part	NOUN
fcis-8578	75	17	:	:	PUNCT
fcis-8578	75	18	the	the	DET
fcis-8578	75	19	pre	pre	ADJ
fcis-8578	75	20	-	-	ADJ
fcis-8578	75	21	processing	processing	ADJ
fcis-8578	75	22	part	part	NOUN
fcis-8578	75	23	,	,	PUNCT
fcis-8578	75	24	the	the	DET
fcis-8578	75	25	feature	feature	NOUN
fcis-8578	75	26	extraction	extraction	NOUN
fcis-8578	75	27	part	part	NOUN
fcis-8578	75	28	,	,	PUNCT
fcis-8578	75	29	and	and	CCONJ
fcis-8578	75	30	the	the	DET
fcis-8578	75	31	output	output	NOUN
fcis-8578	75	32	part	part	NOUN
fcis-8578	75	33	.	.	PUNCT
fcis-8578	76	1	the	the	DET
fcis-8578	76	2	preprocessing	preprocessing	NOUN
fcis-8578	76	3	part	part	NOUN
fcis-8578	76	4	consists	consist	VERB
fcis-8578	76	5	of	of	ADP
fcis-8578	76	6	a	a	DET
fcis-8578	76	7	convolutional	convolutional	ADJ
fcis-8578	76	8	layer	layer	NOUN
fcis-8578	76	9	with	with	ADP
fcis-8578	76	10	a	a	DET
fcis-8578	76	11	convolutional	convolutional	ADJ
fcis-8578	76	12	kernel	kernel	NOUN
fcis-8578	76	13	size	size	NOUN
fcis-8578	76	14	of	of	ADP
fcis-8578	76	15	3	3	NUM
fcis-8578	76	16	3	3	NUM
fcis-8578	76	17	,	,	PUNCT
fcis-8578	76	18	which	which	PRON
fcis-8578	76	19	is	be	AUX
fcis-8578	76	20	used	use	VERB
fcis-8578	76	21	to	to	PART
fcis-8578	76	22	encode	encode	VERB
fcis-8578	76	23	the	the	DET
fcis-8578	76	24	input	input	NOUN
fcis-8578	76	25	image	image	NOUN
fcis-8578	76	26	.	.	PUNCT
fcis-8578	77	1	the	the	DET
fcis-8578	77	2	feature	feature	NOUN
fcis-8578	77	3	extraction	extraction	NOUN
fcis-8578	77	4	section	section	NOUN
fcis-8578	77	5	of	of	ADP
fcis-8578	77	6	the	the	DET
fcis-8578	77	7	caresnet18	caresnet18	NOUN
fcis-8578	77	8	diagnostic	diagnostic	ADJ
fcis-8578	77	9	network	network	NOUN
fcis-8578	77	10	consists	consist	VERB
fcis-8578	77	11	of	of	ADP
fcis-8578	77	12	a	a	DET
fcis-8578	77	13	residual	residual	ADJ
fcis-8578	77	14	module	module	NOUN
fcis-8578	77	15	,	,	PUNCT
fcis-8578	77	16	a	a	DET
fcis-8578	77	17	ca	ca	NOUN
fcis-8578	77	18	module	module	NOUN
fcis-8578	77	19	,	,	PUNCT
fcis-8578	77	20	a	a	DET
fcis-8578	77	21	relu	relu	NOUN
fcis-8578	77	22	activation	activation	NOUN
fcis-8578	77	23	function	function	NOUN
fcis-8578	77	24	layer	layer	NOUN
fcis-8578	77	25	,	,	PUNCT
fcis-8578	77	26	and	and	CCONJ
fcis-8578	77	27	a	a	DET
fcis-8578	77	28	batch	batch	NOUN
fcis-8578	77	29	normalization	normalization	NOUN
fcis-8578	77	30	(	(	PUNCT
fcis-8578	77	31	bn	bn	NOUN
fcis-8578	77	32	)	)	PUNCT
fcis-8578	77	33	layer	layer	NOUN
fcis-8578	77	34	.	.	PUNCT
fcis-8578	78	1	this	this	DET
fcis-8578	78	2	section	section	NOUN
fcis-8578	78	3	is	be	AUX
fcis-8578	78	4	designed	design	VERB
fcis-8578	78	5	to	to	PART
fcis-8578	78	6	fully	fully	ADV
fcis-8578	78	7	extract	extract	VERB
fcis-8578	78	8	the	the	DET
fcis-8578	78	9	location	location	NOUN
fcis-8578	78	10	and	and	CCONJ
fcis-8578	78	11	effective	effective	ADJ
fcis-8578	78	12	features	feature	NOUN
fcis-8578	78	13	of	of	ADP
fcis-8578	78	14	the	the	DET
fcis-8578	78	15	image	image	NOUN
fcis-8578	78	16	while	while	SCONJ
fcis-8578	78	17	effectively	effectively	ADV
fcis-8578	78	18	suppressing	suppress	VERB
fcis-8578	78	19	gradient	gradient	ADJ
fcis-8578	78	20	disappearance	disappearance	NOUN
fcis-8578	78	21	during	during	ADP
fcis-8578	78	22	backpropagation	backpropagation	NOUN
fcis-8578	78	23	and	and	CCONJ
fcis-8578	78	24	alleviating	alleviate	VERB
fcis-8578	78	25	overfitting	overfitting	NOUN
fcis-8578	78	26	.	.	PUNCT
fcis-8578	79	1	the	the	DET
fcis-8578	79	2	output	output	NOUN
fcis-8578	79	3	section	section	NOUN
fcis-8578	79	4	includes	include	VERB
fcis-8578	79	5	a	a	DET
fcis-8578	79	6	fully	fully	ADV
fcis-8578	79	7	connected	connect	VERB
fcis-8578	79	8	layer	layer	NOUN
fcis-8578	79	9	and	and	CCONJ
fcis-8578	79	10	a	a	DET
fcis-8578	79	11	softmax	softmax	NOUN
fcis-8578	79	12	layer	layer	NOUN
fcis-8578	79	13	.	.	PUNCT
fcis-8578	80	1	a	a	DET
fcis-8578	80	2	global	global	ADJ
fcis-8578	80	3	pooling	pooling	NOUN
fcis-8578	80	4	layer	layer	NOUN
fcis-8578	80	5	is	be	AUX
fcis-8578	80	6	connected	connect	VERB
fcis-8578	80	7	to	to	ADP
fcis-8578	80	8	the	the	DET
fcis-8578	80	9	fully	fully	ADV
fcis-8578	80	10	connected	connected	ADJ
fcis-8578	80	11	layer	layer	NOUN
fcis-8578	80	12	to	to	PART
fcis-8578	80	13	integrate	integrate	VERB
fcis-8578	80	14	feature	feature	NOUN
fcis-8578	80	15	relationships	relationship	NOUN
fcis-8578	80	16	and	and	CCONJ
fcis-8578	80	17	remove	remove	VERB
fcis-8578	80	18	redundant	redundant	ADJ
fcis-8578	80	19	information	information	NOUN
fcis-8578	80	20	,	,	PUNCT
fcis-8578	80	21	improving	improve	VERB
fcis-8578	80	22	network	network	NOUN
fcis-8578	80	23	stability	stability	NOUN
fcis-8578	80	24	.	.	PUNCT
fcis-8578	81	1	the	the	DET
fcis-8578	81	2	softmax	softmax	NOUN
fcis-8578	81	3	layer	layer	NOUN
fcis-8578	81	4	output	output	NOUN
fcis-8578	81	5	’s	’s	PART
fcis-8578	81	6	fault	fault	NOUN
fcis-8578	81	7	category	category	NOUN
fcis-8578	81	8	labels	label	NOUN
fcis-8578	81	9	and	and	CCONJ
fcis-8578	81	10	enhances	enhance	VERB
fcis-8578	81	11	network	network	NOUN
fcis-8578	81	12	robustness	robustness	NOUN
fcis-8578	81	13	.	.	PUNCT
fcis-8578	82	1	since	since	SCONJ
fcis-8578	82	2	the	the	DET
fcis-8578	82	3	ca	ca	NOUN
fcis-8578	82	4	-	-	PUNCT
fcis-8578	82	5	resnet18	resnet18	NOUN
fcis-8578	82	6	diagnostic	diagnostic	ADJ
fcis-8578	82	7	network	network	NOUN
fcis-8578	82	8	is	be	AUX
fcis-8578	82	9	built	build	VERB
fcis-8578	82	10	on	on	ADP
fcis-8578	82	11	the	the	DET
fcis-8578	82	12	resnet18	resnet18	NOUN
fcis-8578	82	13	architecture	architecture	NOUN
fcis-8578	82	14	,	,	PUNCT
fcis-8578	82	15	the	the	DET
fcis-8578	82	16	parameter	parameter	NOUN
fcis-8578	82	17	design	design	NOUN
fcis-8578	82	18	is	be	AUX
fcis-8578	82	19	similar	similar	ADJ
fcis-8578	82	20	,	,	PUNCT
fcis-8578	82	21	and	and	CCONJ
fcis-8578	82	22	the	the	DET
fcis-8578	82	23	parameters	parameter	NOUN
fcis-8578	82	24	are	be	AUX
fcis-8578	82	25	shown	show	VERB
fcis-8578	82	26	in	in	ADP
fcis-8578	82	27	table	table	NOUN
fcis-8578	82	28	1	1	NUM
fcis-8578	82	29	.	.	PUNCT
fcis-8578	83	1	the	the	DET
fcis-8578	83	2	finalized	finalize	VERB
fcis-8578	83	3	ca	ca	NOUN
fcis-8578	83	4	-	-	PUNCT
fcis-8578	83	5	resnet18	resnet18	NOUN
fcis-8578	83	6	diagnostic	diagnostic	ADJ
fcis-8578	83	7	model	model	NOUN
fcis-8578	83	8	structure	structure	NOUN
fcis-8578	83	9	is	be	AUX
fcis-8578	83	10	illustrated	illustrate	VERB
fcis-8578	83	11	in	in	ADP
fcis-8578	83	12	figure	figure	NOUN
fcis-8578	83	13	3	3	NUM
fcis-8578	83	14	.	.	PUNCT
fcis-8578	83	15	table	table	NOUN
fcis-8578	83	16	1	1	NUM
fcis-8578	83	17	.	.	PUNCT
fcis-8578	84	1	design	design	NOUN
fcis-8578	84	2	of	of	ADP
fcis-8578	84	3	the	the	DET
fcis-8578	84	4	model	model	NOUN
fcis-8578	84	5	parameters	parameter	NOUN
fcis-8578	84	6	number	number	NOUN
fcis-8578	84	7	of	of	ADP
fcis-8578	84	8	layers	layer	NOUN
fcis-8578	84	9	name	name	NOUN
fcis-8578	84	10	category	category	NOUN
fcis-8578	84	11	outputs	output	VERB
fcis-8578	84	12	number	number	NOUN
fcis-8578	84	13	of	of	ADP
fcis-8578	84	14	channels	channel	NOUN
fcis-8578	84	15	1	1	NUM
fcis-8578	84	16	image	image	NOUN
fcis-8578	84	17	input	input	NOUN
fcis-8578	84	18	image	image	NOUN
fcis-8578	84	19	inputs	input	VERB
fcis-8578	84	20	100×100	100×100	NUM
fcis-8578	84	21	1	1	NUM
fcis-8578	84	22	2	2	NUM
fcis-8578	84	23	conv	conv	ADJ
fcis-8578	84	24	pre	pre	ADJ
fcis-8578	84	25	-	-	ADJ
fcis-8578	84	26	processing	processing	ADJ
fcis-8578	84	27	layer	layer	NOUN
fcis-8578	84	28	62×62	62×62	NUM
fcis-8578	84	29	64	64	NUM
fcis-8578	84	30	4	4	NUM
fcis-8578	84	31	basicblock_1	basicblock_1	ADV
fcis-8578	84	32	improved	improve	VERB
fcis-8578	84	33	residual	residual	ADJ
fcis-8578	84	34	module	module	NOUN
fcis-8578	84	35	62×62	62×62	NUM
fcis-8578	84	36	64	64	NUM
fcis-8578	84	37	3	3	NUM
fcis-8578	84	38	basicblock_2	basicblock_2	NOUN
fcis-8578	84	39	improved	improve	VERB
fcis-8578	84	40	residual	residual	ADJ
fcis-8578	84	41	module	module	NOUN
fcis-8578	84	42	62×62	62×62	NUM
fcis-8578	84	43	64	64	NUM
fcis-8578	84	44	5	5	NUM
fcis-8578	84	45	basicblock_3	basicblock_3	NOUN
fcis-8578	84	46	improved	improve	VERB
fcis-8578	84	47	residual	residual	ADJ
fcis-8578	84	48	module	module	NOUN
fcis-8578	84	49	31×31	31×31	NUM
fcis-8578	84	50	128	128	NUM
fcis-8578	84	51	6	6	NUM
fcis-8578	84	52	basicblock_4	basicblock_4	PROPN
fcis-8578	84	53	improved	improve	VERB
fcis-8578	84	54	residual	residual	ADJ
fcis-8578	84	55	module	module	NOUN
fcis-8578	84	56	31×31	31×31	NUM
fcis-8578	84	57	128	128	NUM
fcis-8578	84	58	8	8	NUM
fcis-8578	84	59	basicblock_5	basicblock_5	NOUN
fcis-8578	84	60	improved	improve	VERB
fcis-8578	84	61	residual	residual	ADJ
fcis-8578	84	62	module	module	NOUN
fcis-8578	84	63	16×16	16×16	NUM
fcis-8578	84	64	256	256	NUM
fcis-8578	84	65	7	7	NUM
fcis-8578	84	66	basicblock_6	basicblock_6	NOUN
fcis-8578	84	67	improved	improve	VERB
fcis-8578	84	68	residual	residual	ADJ
fcis-8578	84	69	module	module	NOUN
fcis-8578	84	70	16×16	16×16	NUM
fcis-8578	84	71	256	256	NUM
fcis-8578	84	72	9	9	NUM
fcis-8578	84	73	basicblock_7	basicblock_7	VERB
fcis-8578	84	74	improved	improve	VERB
fcis-8578	84	75	residual	residual	ADJ
fcis-8578	84	76	module	module	NOUN
fcis-8578	84	77	8×8	8×8	NUM
fcis-8578	84	78	512	512	NUM
fcis-8578	84	79	10	10	NUM
fcis-8578	84	80	basicblock_8	basicblock_8	NOUN
fcis-8578	84	81	improved	improve	VERB
fcis-8578	84	82	residual	residual	ADJ
fcis-8578	84	83	module	module	NOUN
fcis-8578	84	84	8×8	8×8	NUM
fcis-8578	84	85	512	512	NUM
fcis-8578	84	86	17	17	NUM
fcis-8578	84	87	globalavgpool	globalavgpool	ADJ
fcis-8578	84	88	global	global	ADJ
fcis-8578	84	89	average	average	ADJ
fcis-8578	84	90	pooling	pool	VERB
fcis-8578	84	91	8×8	8×8	NUM
fcis-8578	84	92	512	512	NUM
fcis-8578	84	93	18	18	NUM
fcis-8578	84	94	fc_1	fc_1	VERB
fcis-8578	84	95	fully	fully	ADV
fcis-8578	84	96	connected	connected	ADJ
fcis-8578	84	97	layer	layer	NOUN
fcis-8578	84	98	8×8	8×8	NUM
fcis-8578	84	99	512	512	NUM
fcis-8578	84	100	19	19	NUM
fcis-8578	84	101	fc_2	fc_2	NOUN
fcis-8578	84	102	fully	fully	ADV
fcis-8578	84	103	connected	connect	VERB
fcis-8578	84	104	layer	layer	NOUN
fcis-8578	84	105	8×8	8×8	NUM
fcis-8578	84	106	9	9	NUM
fcis-8578	84	107	20	20	NUM
fcis-8578	84	108	softmax	softmax	NOUN
fcis-8578	84	109	softmax	softmax	NOUN
fcis-8578	84	110	layer	layer	NOUN
fcis-8578	84	111	1×1	1×1	NUM
fcis-8578	84	112	9	9	NUM
fcis-8578	84	113	21	21	NUM
fcis-8578	84	114	class	class	NOUN
fcis-8578	84	115	output	output	NOUN
fcis-8578	84	116	classified	classify	VERB
fcis-8578	84	117	outputs	output	NOUN
fcis-8578	84	118	—	—	PUNCT
fcis-8578	84	119	—	—	PUNCT
fcis-8578	84	120	of	of	ADP
fcis-8578	84	121	these	these	PRON
fcis-8578	84	122	,	,	PUNCT
fcis-8578	84	123	the	the	DET
fcis-8578	84	124	network	network	NOUN
fcis-8578	84	125	involved	involve	VERB
fcis-8578	84	126	a	a	DET
fcis-8578	84	127	total	total	ADJ
fcis-8578	84	128	number	number	NOUN
fcis-8578	84	129	of	of	ADP
fcis-8578	84	130	12,113,152	12,113,152	NUM
fcis-8578	84	131	participants	participant	NOUN
fcis-8578	84	132	and	and	CCONJ
fcis-8578	84	133	a	a	DET
fcis-8578	84	134	trained	train	VERB
fcis-8578	84	135	number	number	NOUN
fcis-8578	84	136	of	of	ADP
fcis-8578	84	137	12,105,344	12,105,344	NUM
fcis-8578	84	138	participants	participant	NOUN
fcis-8578	84	139	.	.	PUNCT
fcis-8578	85	1	3	3	X
fcis-8578	85	2	.	.	X
fcis-8578	85	3	experimental	experimental	ADJ
fcis-8578	85	4	verification	verification	NOUN
fcis-8578	85	5	and	and	CCONJ
fcis-8578	85	6	analysis	analysis	NOUN
fcis-8578	85	7	3.1	3.1	NUM
fcis-8578	85	8	.	.	PUNCT
fcis-8578	85	9	membrane	membrane	NOUN
fcis-8578	85	10	fouling	fouling	NOUN
fcis-8578	85	11	data	datum	NOUN
fcis-8578	85	12	acquisition	acquisition	NOUN
fcis-8578	85	13	and	and	CCONJ
fcis-8578	85	14	definition	definition	NOUN
fcis-8578	85	15	the	the	DET
fcis-8578	85	16	data	datum	NOUN
fcis-8578	85	17	used	use	VERB
fcis-8578	85	18	in	in	ADP
fcis-8578	85	19	this	this	DET
fcis-8578	85	20	paper	paper	NOUN
fcis-8578	85	21	was	be	AUX
fcis-8578	85	22	derived	derive	VERB
fcis-8578	85	23	from	from	ADP
fcis-8578	85	24	seong	seong	PROPN
fcis-8578	85	25	-	-	PUNCT
fcis-8578	85	26	hoon	hoon	PROPN
fcis-8578	85	27	yoon	yoon	PROPN
fcis-8578	85	28	's	's	PART
fcis-8578	85	29	spreadsheet	spreadsheet	NOUN
fcis-8578	85	30	model	model	NOUN
fcis-8578	86	1	[	[	X
fcis-8578	86	2	21	21	NUM
fcis-8578	86	3	]	]	X
fcis-8578	86	4	,	,	PUNCT
fcis-8578	86	5	which	which	PRON
fcis-8578	86	6	was	be	AUX
fcis-8578	86	7	used	use	VERB
fcis-8578	86	8	to	to	PART
fcis-8578	86	9	verify	verify	VERB
fcis-8578	86	10	the	the	DET
fcis-8578	86	11	performance	performance	NOUN
fcis-8578	86	12	of	of	ADP
fcis-8578	86	13	the	the	DET
fcis-8578	86	14	diagnostic	diagnostic	ADJ
fcis-8578	86	15	model	model	NOUN
fcis-8578	86	16	.	.	PUNCT
fcis-8578	87	1	pca	pca	PROPN
fcis-8578	87	2	was	be	AUX
fcis-8578	87	3	used	use	VERB
fcis-8578	87	4	to	to	PART
fcis-8578	87	5	determine	determine	VERB
fcis-8578	87	6	the	the	DET
fcis-8578	87	7	main	main	ADJ
fcis-8578	87	8	factors	factor	NOUN
fcis-8578	87	9	of	of	ADP
fcis-8578	87	10	membrane	membrane	NOUN
fcis-8578	87	11	fouling	fouling	NOUN
fcis-8578	87	12	faults	fault	NOUN
fcis-8578	87	13	(	(	PUNCT
fcis-8578	87	14	shown	show	VERB
fcis-8578	87	15	in	in	ADP
fcis-8578	87	16	fig	fig	NOUN
fcis-8578	87	17	.	.	PUNCT
fcis-8578	88	1	3	3	NUM
fcis-8578	88	2	)	)	PUNCT
fcis-8578	88	3	,	,	PUNCT
fcis-8578	88	4	and	and	CCONJ
fcis-8578	88	5	the	the	DET
fcis-8578	88	6	analysis	analysis	NOUN
fcis-8578	88	7	resulted	result	VERB
fcis-8578	88	8	in	in	ADP
fcis-8578	88	9	nine	nine	NUM
fcis-8578	88	10	main	main	ADJ
fcis-8578	88	11	types	type	NOUN
fcis-8578	88	12	of	of	ADP
fcis-8578	88	13	membrane	membrane	NOUN
fcis-8578	88	14	fouling	fouling	NOUN
fcis-8578	88	15	faults	fault	NOUN
fcis-8578	88	16	(	(	PUNCT
fcis-8578	88	17	shown	show	VERB
fcis-8578	88	18	in	in	ADP
fcis-8578	88	19	table	table	NOUN
fcis-8578	88	20	2	2	NUM
fcis-8578	88	21	)	)	PUNCT
fcis-8578	88	22	.	.	PUNCT
fcis-8578	89	1	pca	pca	PROPN
fcis-8578	89	2	caresnet18	caresnet18	PROPN
fcis-8578	89	3	str	str	VERB
fcis-8578	89	4	mlss	mlss	ADJ
fcis-8578	89	5	cod	cod	NOUN
fcis-8578	89	6	str	str	X
fcis-8578	89	7	phmlss	phmlss	ADJ
fcis-8578	89	8	cod	cod	PROPN
fcis-8578	89	9	fault	fault	NOUN
fcis-8578	89	10	code	code	NOUN
fcis-8578	89	11	…	…	PUNCT
fcis-8578	89	12	f	f	X
fcis-8578	89	13	/	/	SYM
fcis-8578	89	14	m	m	PROPN
fcis-8578	89	15	ratio	ratio	NOUN
fcis-8578	89	16	cod	cod	NOUN
fcis-8578	89	17	/	/	SYM
fcis-8578	89	18	mlss	mlss	PROPN
fcis-8578	89	19	f1	f1	NOUN
fcis-8578	89	20	f2	f2	PROPN
fcis-8578	89	21	f4	f4	PROPN
fcis-8578	89	22	f5	f5	NOUN
fcis-8578	89	23	f6	f6	PROPN
fcis-8578	89	24	f3	f3	PROPN
fcis-8578	89	25	f7	f7	PROPN
fcis-8578	89	26	f8	f8	PROPN
fcis-8578	89	27	f9	f9	PROPN
fcis-8578	89	28	produced	produce	VERB
fcis-8578	89	29	water	water	NOUN
fcis-8578	89	30	flow	flow	NOUN
fcis-8578	89	31	produced	produce	VERB
fcis-8578	89	32	water	water	NOUN
fcis-8578	89	33	turbidity	turbidity	NOUN
fcis-8578	89	34	conductivity	conductivity	NOUN
fcis-8578	89	35	transmembrane	transmembrane	NOUN
fcis-8578	89	36	pressure	pressure	NOUN
fcis-8578	89	37	difference	difference	NOUN
fcis-8578	89	38	temperature	temperature	NOUN
fcis-8578	89	39	silt	silt	NOUN
fcis-8578	89	40	load	load	NOUN
fcis-8578	89	41	aeration	aeration	NOUN
fcis-8578	89	42	rate	rate	NOUN
fcis-8578	89	43	aeration	aeration	NOUN
fcis-8578	89	44	rate	rate	NOUN
fcis-8578	89	45	temperature	temperature	NOUN
fcis-8578	89	46	fig	fig	NOUN
fcis-8578	89	47	3	3	NUM
fcis-8578	89	48	.	.	PUNCT
fcis-8578	89	49	schematic	schematic	ADJ
fcis-8578	89	50	diagram	diagram	NOUN
fcis-8578	89	51	of	of	ADP
fcis-8578	89	52	pca	pca	PROPN
fcis-8578	89	53	principal	principal	ADJ
fcis-8578	89	54	component	component	NOUN
fcis-8578	89	55	analysis	analysis	NOUN
fcis-8578	89	56	in	in	ADP
fcis-8578	89	57	particular	particular	ADJ
fcis-8578	89	58	,	,	PUNCT
fcis-8578	89	59	the	the	DET
fcis-8578	89	60	cod	cod	NOUN
fcis-8578	89	61	/	/	SYM
fcis-8578	89	62	mlss	mlss	ADJ
fcis-8578	89	63	ratio	ratio	NOUN
fcis-8578	89	64	has	have	VERB
fcis-8578	89	65	an	an	DET
fcis-8578	89	66	impact	impact	NOUN
fcis-8578	89	67	on	on	ADP
fcis-8578	89	68	the	the	DET
fcis-8578	89	69	fouling	fouling	NOUN
fcis-8578	89	70	of	of	ADP
fcis-8578	89	71	the	the	DET
fcis-8578	89	72	entire	entire	ADJ
fcis-8578	89	73	mbr	mbr	NOUN
fcis-8578	89	74	module	module	NOUN
fcis-8578	89	75	,	,	PUNCT
fcis-8578	89	76	with	with	ADP
fcis-8578	89	77	anomalies	anomaly	NOUN
fcis-8578	89	78	in	in	ADP
fcis-8578	89	79	this	this	DET
fcis-8578	89	80	indicator	indicator	NOUN
fcis-8578	89	81	reflecting	reflect	VERB
fcis-8578	89	82	excessive	excessive	ADJ
fcis-8578	89	83	suspended	suspend	VERB
fcis-8578	89	84	solids	solid	NOUN
fcis-8578	89	85	in	in	ADP
fcis-8578	89	86	the	the	DET
fcis-8578	89	87	mbr	mbr	PROPN
fcis-8578	89	88	membrane	membrane	NOUN
fcis-8578	89	89	module	module	NOUN
fcis-8578	89	90	.	.	PUNCT
fcis-8578	90	1	the	the	DET
fcis-8578	90	2	growth	growth	NOUN
fcis-8578	90	3	of	of	ADP
fcis-8578	90	4	nitrifying	nitrify	VERB
fcis-8578	90	5	and	and	CCONJ
fcis-8578	90	6	denitrifying	denitrify	VERB
fcis-8578	90	7	bacteria	bacteria	NOUN
fcis-8578	90	8	in	in	ADP
fcis-8578	90	9	the	the	DET
fcis-8578	90	10	pool	pool	NOUN
fcis-8578	90	11	is	be	AUX
fcis-8578	90	12	directly	directly	ADV
fcis-8578	90	13	influenced	influence	VERB
fcis-8578	90	14	by	by	ADP
fcis-8578	90	15	the	the	DET
fcis-8578	90	16	water	water	NOUN
fcis-8578	90	17	's	's	PART
fcis-8578	90	18	temperature	temperature	NOUN
fcis-8578	90	19	.	.	PUNCT
fcis-8578	91	1	table	table	NOUN
fcis-8578	91	2	2	2	NUM
fcis-8578	91	3	.	.	PUNCT
fcis-8578	91	4	membrane	membrane	NOUN
fcis-8578	91	5	fouling	fouling	NOUN
fcis-8578	91	6	mode	mode	NOUN
fcis-8578	91	7	of	of	ADP
fcis-8578	91	8	the	the	DET
fcis-8578	91	9	membrane	membrane	NOUN
fcis-8578	91	10	device	device	NOUN
fcis-8578	91	11	fault	fault	VERB
fcis-8578	91	12	classification	classification	NOUN
fcis-8578	91	13	normal	normal	ADJ
fcis-8578	91	14	range	range	NOUN
fcis-8578	91	15	of	of	ADP
fcis-8578	91	16	indicators	indicator	NOUN
fcis-8578	91	17	code	code	NOUN
fcis-8578	91	18	of	of	ADP
fcis-8578	91	19	membrane	membrane	NOUN
fcis-8578	91	20	fouling	fouling	NOUN
fcis-8578	91	21	cod	cod	NOUN
fcis-8578	91	22	/	/	SYM
fcis-8578	91	23	mlss	mlss	ADJ
fcis-8578	91	24	1.1	1.1	NUM
fcis-8578	91	25	-	-	SYM
fcis-8578	91	26	1.2	1.2	NUM
fcis-8578	91	27	f1	f1	NOUN
fcis-8578	91	28	temperature	temperature	NOUN
fcis-8578	91	29	of	of	ADP
fcis-8578	91	30	water	water	NOUN
fcis-8578	91	31	15	15	NUM
fcis-8578	91	32	-	-	SYM
fcis-8578	91	33	35	35	NUM
fcis-8578	91	34	℃	℃	PROPN
fcis-8578	91	35	f2	f2	ADV
fcis-8578	91	36	do	do	AUX
fcis-8578	91	37	in	in	ADP
fcis-8578	91	38	aeration	aeration	NOUN
fcis-8578	91	39	tank	tank	NOUN
fcis-8578	91	40	1	1	NUM
fcis-8578	91	41	-	-	SYM
fcis-8578	91	42	3	3	NUM
fcis-8578	91	43	mg	mg	PROPN
fcis-8578	91	44	/	/	SYM
fcis-8578	91	45	l	l	NOUN
fcis-8578	91	46	f3	f3	PROPN
fcis-8578	91	47	do	do	AUX
fcis-8578	91	48	in	in	ADP
fcis-8578	91	49	membrane	membrane	NOUN
fcis-8578	91	50	tank	tank	NOUN
fcis-8578	91	51	4	4	NUM
fcis-8578	91	52	-	-	SYM
fcis-8578	91	53	8	8	NUM
fcis-8578	91	54	mg	mg	NUM
fcis-8578	91	55	/	/	SYM
fcis-8578	91	56	l	l	NOUN
fcis-8578	92	1	f4	f4	PROPN
fcis-8578	92	2	f	f	PROPN
fcis-8578	92	3	/	/	SYM
fcis-8578	92	4	m	m	NOUN
fcis-8578	92	5	ratio	ratio	NOUN
fcis-8578	92	6	in	in	ADP
fcis-8578	92	7	anoxic	anoxic	ADJ
fcis-8578	92	8	tank	tank	NOUN
fcis-8578	92	9	0.5	0.5	NUM
fcis-8578	92	10	-	-	SYM
fcis-8578	92	11	1.0	1.0	NUM
fcis-8578	92	12	g	g	NOUN
fcis-8578	92	13	bod	bod	PROPN
fcis-8578	92	14	/	/	SYM
fcis-8578	92	15	g	g	NOUN
fcis-8578	92	16	mlvssꞏd	mlvssꞏd	NOUN
fcis-8578	92	17	f5	f5	PROPN
fcis-8578	92	18	f	f	PROPN
fcis-8578	92	19	/	/	SYM
fcis-8578	92	20	m	m	VERB
fcis-8578	92	21	ratio	ratio	NOUN
fcis-8578	92	22	in	in	ADP
fcis-8578	92	23	aeration	aeration	NOUN
fcis-8578	92	24	tank	tank	NOUN
fcis-8578	92	25	0.08	0.08	NUM
fcis-8578	92	26	-	-	SYM
fcis-8578	92	27	0.24	0.24	NUM
fcis-8578	92	28	g	g	PROPN
fcis-8578	92	29	bod	bod	PROPN
fcis-8578	92	30	/	/	SYM
fcis-8578	92	31	g	g	NOUN
fcis-8578	92	32	mlvssꞏd	mlvssꞏd	NOUN
fcis-8578	92	33	f6	f6	PROPN
fcis-8578	92	34	mlss	mlss	PROPN
fcis-8578	92	35	in	in	ADP
fcis-8578	92	36	aeration	aeration	NOUN
fcis-8578	92	37	tank	tank	NOUN
fcis-8578	92	38	8	8	NUM
fcis-8578	92	39	-	-	SYM
fcis-8578	92	40	12	12	NUM
fcis-8578	92	41	g	g	NOUN
fcis-8578	92	42	/	/	SYM
fcis-8578	92	43	l	l	NOUN
fcis-8578	92	44	f7	f7	PROPN
fcis-8578	92	45	srt	srt	VERB
fcis-8578	92	46	5	5	NUM
fcis-8578	92	47	-	-	SYM
fcis-8578	92	48	25	25	NUM
fcis-8578	92	49	day	day	NOUN
fcis-8578	92	50	f8	f8	PROPN
fcis-8578	92	51	aeration	aeration	NOUN
fcis-8578	92	52	demand	demand	VERB
fcis-8578	92	53	0.2	0.2	NUM
fcis-8578	92	54	-	-	PUNCT
fcis-8578	92	55	0.4	0.4	NUM
fcis-8578	92	56	m3/(m2ꞏh	m3/(m2ꞏh	NOUN
fcis-8578	92	57	)	)	PUNCT
fcis-8578	92	58	f9	f9	PROPN
fcis-8578	92	59	these	these	DET
fcis-8578	92	60	bacteria	bacteria	NOUN
fcis-8578	92	61	are	be	AUX
fcis-8578	92	62	both	both	PRON
fcis-8578	92	63	crucial	crucial	ADJ
fcis-8578	92	64	for	for	ADP
fcis-8578	92	65	the	the	DET
fcis-8578	92	66	water	water	NOUN
fcis-8578	92	67	's	's	PART
fcis-8578	92	68	ammonia	ammonia	NOUN
fcis-8578	92	69	and	and	CCONJ
fcis-8578	92	70	nitrate	nitrate	NOUN
fcis-8578	92	71	concentration	concentration	NOUN
fcis-8578	92	72	,	,	PUNCT
fcis-8578	92	73	which	which	PRON
fcis-8578	92	74	would	would	AUX
fcis-8578	92	75	,	,	PUNCT
fcis-8578	92	76	in	in	ADP
fcis-8578	92	77	turn	turn	NOUN
fcis-8578	92	78	,	,	PUNCT
fcis-8578	92	79	impacts	impact	VERB
fcis-8578	92	80	membrane	membrane	NOUN
fcis-8578	92	81	flow	flow	NOUN
fcis-8578	92	82	and	and	CCONJ
fcis-8578	92	83	hydrophilicity	hydrophilicity	NOUN
fcis-8578	92	84	/	/	SYM
fcis-8578	92	85	hydrophobicity	hydrophobicity	NOUN
fcis-8578	92	86	.	.	PUNCT
fcis-8578	93	1	low	low	ADJ
fcis-8578	93	2	oxygen	oxygen	NOUN
fcis-8578	93	3	dissolution	dissolution	NOUN
fcis-8578	93	4	targets	target	NOUN
fcis-8578	93	5	can	can	AUX
fcis-8578	93	6	lead	lead	VERB
fcis-8578	93	7	to	to	ADP
fcis-8578	93	8	rapid	rapid	ADJ
fcis-8578	93	9	increases	increase	NOUN
fcis-8578	93	10	in	in	ADP
fcis-8578	93	11	the	the	DET
fcis-8578	93	12	105	105	NUM
fcis-8578	93	13	levels	level	NOUN
fcis-8578	93	14	of	of	ADP
fcis-8578	93	15	soluble	soluble	ADJ
fcis-8578	93	16	microbial	microbial	ADJ
fcis-8578	93	17	products	product	NOUN
fcis-8578	93	18	(	(	PUNCT
fcis-8578	93	19	smp	smp	NOUN
fcis-8578	93	20	)	)	PUNCT
fcis-8578	93	21	and	and	CCONJ
fcis-8578	93	22	extracellular	extracellular	ADJ
fcis-8578	93	23	polymeric	polymeric	ADJ
fcis-8578	93	24	substances	substance	NOUN
fcis-8578	93	25	(	(	PUNCT
fcis-8578	93	26	eps	eps	NOUN
fcis-8578	93	27	)	)	PUNCT
fcis-8578	93	28	,	,	PUNCT
fcis-8578	93	29	which	which	PRON
fcis-8578	93	30	can	can	AUX
fcis-8578	93	31	affect	affect	VERB
fcis-8578	93	32	water	water	NOUN
fcis-8578	93	33	quality	quality	NOUN
fcis-8578	93	34	.	.	PUNCT
fcis-8578	94	1	a	a	DET
fcis-8578	94	2	high	high	ADJ
fcis-8578	94	3	or	or	CCONJ
fcis-8578	94	4	low	low	ADJ
fcis-8578	94	5	f	f	PROPN
fcis-8578	94	6	/	/	SYM
fcis-8578	94	7	m	m	VERB
fcis-8578	94	8	ratio	ratio	NOUN
fcis-8578	94	9	will	will	AUX
fcis-8578	94	10	produce	produce	VERB
fcis-8578	94	11	flocculation	flocculation	NOUN
fcis-8578	94	12	and	and	CCONJ
fcis-8578	94	13	therefore	therefore	ADV
fcis-8578	94	14	membrane	membrane	NOUN
fcis-8578	94	15	fouling	fouling	NOUN
fcis-8578	94	16	.	.	PUNCT
fcis-8578	95	1	excessive	excessive	ADJ
fcis-8578	95	2	srt	srt	PROPN
fcis-8578	95	3	(	(	PUNCT
fcis-8578	95	4	sludge	sludge	NOUN
fcis-8578	95	5	retention	retention	NOUN
fcis-8578	95	6	time	time	NOUN
fcis-8578	95	7	)	)	PUNCT
fcis-8578	95	8	can	can	AUX
fcis-8578	95	9	lead	lead	VERB
fcis-8578	95	10	to	to	ADP
fcis-8578	95	11	the	the	DET
fcis-8578	95	12	viscosity	viscosity	NOUN
fcis-8578	95	13	of	of	ADP
fcis-8578	95	14	the	the	DET
fcis-8578	95	15	effluent	effluent	NOUN
fcis-8578	95	16	being	be	AUX
fcis-8578	95	17	too	too	ADV
fcis-8578	95	18	high	high	ADJ
fcis-8578	95	19	to	to	PART
fcis-8578	95	20	affect	affect	VERB
fcis-8578	95	21	the	the	DET
fcis-8578	95	22	biological	biological	ADJ
fcis-8578	95	23	reaction	reaction	NOUN
fcis-8578	95	24	and	and	CCONJ
fcis-8578	95	25	contribute	contribute	VERB
fcis-8578	95	26	to	to	ADP
fcis-8578	95	27	an	an	DET
fcis-8578	95	28	increased	increase	VERB
fcis-8578	95	29	rate	rate	NOUN
fcis-8578	95	30	of	of	ADP
fcis-8578	95	31	membrane	membrane	NOUN
fcis-8578	95	32	fouling	fouling	NOUN
fcis-8578	95	33	.	.	PUNCT
fcis-8578	96	1	high	high	ADJ
fcis-8578	96	2	aeration	aeration	NOUN
fcis-8578	96	3	suppresses	suppress	VERB
fcis-8578	96	4	the	the	DET
fcis-8578	96	5	biological	biological	ADJ
fcis-8578	96	6	activity	activity	NOUN
fcis-8578	96	7	and	and	CCONJ
fcis-8578	96	8	increases	increase	VERB
fcis-8578	96	9	the	the	DET
fcis-8578	96	10	sludge	sludge	NOUN
fcis-8578	96	11	concentration	concentration	NOUN
fcis-8578	96	12	in	in	ADP
fcis-8578	96	13	the	the	DET
fcis-8578	96	14	pool	pool	NOUN
fcis-8578	96	15	.	.	PUNCT
fcis-8578	97	1	therefore	therefore	ADV
fcis-8578	97	2	,	,	PUNCT
fcis-8578	97	3	the	the	DET
fcis-8578	97	4	above	above	ADJ
fcis-8578	97	5	nine	nine	NUM
fcis-8578	97	6	index	index	NOUN
fcis-8578	97	7	anomalies	anomaly	NOUN
fcis-8578	97	8	were	be	AUX
fcis-8578	97	9	selected	select	VERB
fcis-8578	97	10	for	for	ADP
fcis-8578	97	11	analysis	analysis	NOUN
fcis-8578	97	12	as	as	ADP
fcis-8578	97	13	a	a	DET
fcis-8578	97	14	fault	fault	NOUN
fcis-8578	97	15	study	study	NOUN
fcis-8578	97	16	.	.	PUNCT
fcis-8578	98	1	3.2	3.2	NUM
fcis-8578	98	2	.	.	PUNCT
fcis-8578	99	1	experimental	experimental	ADJ
fcis-8578	99	2	procedures	procedure	NOUN
fcis-8578	99	3	there	there	PRON
fcis-8578	99	4	are	be	VERB
fcis-8578	99	5	six	six	NUM
fcis-8578	99	6	experimental	experimental	ADJ
fcis-8578	99	7	steps	step	NOUN
fcis-8578	99	8	in	in	ADP
fcis-8578	99	9	this	this	DET
fcis-8578	99	10	project	project	NOUN
fcis-8578	99	11	,	,	PUNCT
fcis-8578	99	12	the	the	DET
fcis-8578	99	13	main	main	ADJ
fcis-8578	99	14	steps	step	NOUN
fcis-8578	99	15	are	be	AUX
fcis-8578	99	16	as	as	SCONJ
fcis-8578	99	17	follows	follow	VERB
fcis-8578	99	18	:	:	PUNCT
fcis-8578	99	19	(	(	PUNCT
fcis-8578	99	20	1	1	X
fcis-8578	99	21	)	)	PUNCT
fcis-8578	99	22	data	datum	NOUN
fcis-8578	99	23	collection	collection	NOUN
fcis-8578	99	24	:	:	PUNCT
fcis-8578	99	25	a	a	DET
fcis-8578	99	26	collection	collection	NOUN
fcis-8578	99	27	of	of	ADP
fcis-8578	99	28	the	the	DET
fcis-8578	99	29	required	require	VERB
fcis-8578	99	30	fault	fault	NOUN
fcis-8578	99	31	sample	sample	NOUN
fcis-8578	99	32	data	datum	NOUN
fcis-8578	99	33	,	,	PUNCT
fcis-8578	99	34	including	include	VERB
fcis-8578	99	35	data	datum	NOUN
fcis-8578	99	36	for	for	ADP
fcis-8578	99	37	normal	normal	ADJ
fcis-8578	99	38	and	and	CCONJ
fcis-8578	99	39	fault	fault	VERB
fcis-8578	99	40	states	state	NOUN
fcis-8578	99	41	;	;	PUNCT
fcis-8578	99	42	(	(	PUNCT
fcis-8578	99	43	2	2	X
fcis-8578	99	44	)	)	PUNCT
fcis-8578	99	45	fault	fault	NOUN
fcis-8578	99	46	coding	code	VERB
fcis-8578	99	47	:	:	PUNCT
fcis-8578	99	48	the	the	DET
fcis-8578	99	49	collected	collect	VERB
fcis-8578	99	50	faults	fault	NOUN
fcis-8578	99	51	are	be	AUX
fcis-8578	99	52	coded	code	VERB
fcis-8578	99	53	and	and	CCONJ
fcis-8578	99	54	presented	present	VERB
fcis-8578	99	55	in	in	ADP
fcis-8578	99	56	the	the	DET
fcis-8578	99	57	form	form	NOUN
fcis-8578	99	58	of	of	ADP
fcis-8578	99	59	data	datum	NOUN
fcis-8578	99	60	markers	marker	NOUN
fcis-8578	99	61	to	to	PART
fcis-8578	99	62	facilitate	facilitate	VERB
fcis-8578	99	63	subsequent	subsequent	ADJ
fcis-8578	99	64	processing	processing	NOUN
fcis-8578	99	65	;	;	PUNCT
fcis-8578	99	66	(	(	PUNCT
fcis-8578	99	67	3	3	X
fcis-8578	99	68	)	)	PUNCT
fcis-8578	99	69	data	datum	NOUN
fcis-8578	99	70	picturization	picturization	NOUN
fcis-8578	99	71	:	:	PUNCT
fcis-8578	99	72	converting	convert	VERB
fcis-8578	99	73	data	datum	NOUN
fcis-8578	99	74	into	into	ADP
fcis-8578	99	75	image	image	NOUN
fcis-8578	99	76	form	form	NOUN
fcis-8578	99	77	to	to	PART
fcis-8578	99	78	facilitate	facilitate	VERB
fcis-8578	99	79	training	training	NOUN
fcis-8578	99	80	and	and	CCONJ
fcis-8578	99	81	testing	testing	NOUN
fcis-8578	99	82	of	of	ADP
fcis-8578	99	83	deep	deep	ADJ
fcis-8578	99	84	learning	learning	NOUN
fcis-8578	99	85	models	model	NOUN
fcis-8578	99	86	.	.	PUNCT
fcis-8578	100	1	feature	feature	NOUN
fcis-8578	100	2	extraction	extraction	NOUN
fcis-8578	100	3	can	can	AUX
fcis-8578	100	4	be	be	AUX
fcis-8578	100	5	enhanced	enhance	VERB
fcis-8578	100	6	using	use	VERB
fcis-8578	100	7	image	image	NOUN
fcis-8578	100	8	processing	processing	NOUN
fcis-8578	100	9	techniques	technique	NOUN
fcis-8578	100	10	;	;	PUNCT
fcis-8578	100	11	(	(	PUNCT
fcis-8578	100	12	4	4	X
fcis-8578	100	13	)	)	PUNCT
fcis-8578	100	14	image	image	NOUN
fcis-8578	100	15	set	set	NOUN
fcis-8578	100	16	division	division	NOUN
fcis-8578	100	17	:	:	PUNCT
fcis-8578	100	18	the	the	DET
fcis-8578	100	19	data	datum	NOUN
fcis-8578	100	20	set	set	VERB
fcis-8578	100	21	is	be	AUX
fcis-8578	100	22	divided	divide	VERB
fcis-8578	100	23	into	into	ADP
fcis-8578	100	24	the	the	DET
fcis-8578	100	25	training	training	NOUN
fcis-8578	100	26	set	set	NOUN
fcis-8578	100	27	and	and	CCONJ
fcis-8578	100	28	the	the	DET
fcis-8578	100	29	test	test	NOUN
fcis-8578	100	30	set	set	VERB
fcis-8578	100	31	according	accord	VERB
fcis-8578	100	32	to	to	ADP
fcis-8578	100	33	the	the	DET
fcis-8578	100	34	ratio	ratio	NOUN
fcis-8578	100	35	of	of	ADP
fcis-8578	100	36	8:2	8:2	NUM
fcis-8578	100	37	.	.	PUNCT
fcis-8578	101	1	the	the	DET
fcis-8578	101	2	training	training	NOUN
fcis-8578	101	3	set	set	NOUN
fcis-8578	101	4	is	be	AUX
fcis-8578	101	5	used	use	VERB
fcis-8578	101	6	for	for	ADP
fcis-8578	101	7	the	the	DET
fcis-8578	101	8	training	training	NOUN
fcis-8578	101	9	of	of	ADP
fcis-8578	101	10	the	the	DET
fcis-8578	101	11	model	model	NOUN
fcis-8578	101	12	and	and	CCONJ
fcis-8578	101	13	the	the	DET
fcis-8578	101	14	test	test	NOUN
fcis-8578	101	15	set	set	NOUN
fcis-8578	101	16	is	be	AUX
fcis-8578	101	17	used	use	VERB
fcis-8578	101	18	for	for	ADP
fcis-8578	101	19	the	the	DET
fcis-8578	101	20	performance	performance	NOUN
fcis-8578	101	21	evaluation	evaluation	NOUN
fcis-8578	101	22	of	of	ADP
fcis-8578	101	23	the	the	DET
fcis-8578	101	24	model	model	NOUN
fcis-8578	101	25	;	;	PUNCT
fcis-8578	101	26	(	(	PUNCT
fcis-8578	101	27	5	5	X
fcis-8578	101	28	)	)	PUNCT
fcis-8578	101	29	model	model	NOUN
fcis-8578	101	30	generation	generation	NOUN
fcis-8578	101	31	:	:	PUNCT
fcis-8578	101	32	select	select	VERB
fcis-8578	101	33	the	the	DET
fcis-8578	101	34	appropriate	appropriate	ADJ
fcis-8578	101	35	method	method	NOUN
fcis-8578	101	36	to	to	PART
fcis-8578	101	37	build	build	VERB
fcis-8578	101	38	and	and	CCONJ
fcis-8578	101	39	optimize	optimize	VERB
fcis-8578	101	40	the	the	DET
fcis-8578	101	41	network	network	NOUN
fcis-8578	101	42	.	.	PUNCT
fcis-8578	102	1	training	training	NOUN
fcis-8578	102	2	of	of	ADP
fcis-8578	102	3	the	the	DET
fcis-8578	102	4	model	model	NOUN
fcis-8578	102	5	using	use	VERB
fcis-8578	102	6	the	the	DET
fcis-8578	102	7	training	training	NOUN
fcis-8578	102	8	set	set	NOUN
fcis-8578	102	9	and	and	CCONJ
fcis-8578	102	10	performance	performance	NOUN
fcis-8578	102	11	testing	testing	NOUN
fcis-8578	102	12	of	of	ADP
fcis-8578	102	13	the	the	DET
fcis-8578	102	14	model	model	NOUN
fcis-8578	102	15	using	use	VERB
fcis-8578	102	16	the	the	DET
fcis-8578	102	17	test	test	NOUN
fcis-8578	102	18	set	set	NOUN
fcis-8578	102	19	;	;	PUNCT
fcis-8578	102	20	(	(	PUNCT
fcis-8578	102	21	6	6	X
fcis-8578	102	22	)	)	PUNCT
fcis-8578	102	23	comparative	comparative	ADJ
fcis-8578	102	24	analysis	analysis	NOUN
fcis-8578	102	25	of	of	ADP
fcis-8578	102	26	results	result	NOUN
fcis-8578	102	27	:	:	PUNCT
fcis-8578	102	28	the	the	DET
fcis-8578	102	29	model	model	NOUN
fcis-8578	102	30	is	be	AUX
fcis-8578	102	31	tested	test	VERB
fcis-8578	102	32	using	use	VERB
fcis-8578	102	33	a	a	DET
fcis-8578	102	34	test	test	NOUN
fcis-8578	102	35	set	set	VERB
fcis-8578	102	36	to	to	PART
fcis-8578	102	37	compare	compare	VERB
fcis-8578	102	38	the	the	DET
fcis-8578	102	39	predicted	predict	VERB
fcis-8578	102	40	and	and	CCONJ
fcis-8578	102	41	actual	actual	ADJ
fcis-8578	102	42	results	result	NOUN
fcis-8578	102	43	of	of	ADP
fcis-8578	102	44	the	the	DET
fcis-8578	102	45	model	model	NOUN
fcis-8578	102	46	and	and	CCONJ
fcis-8578	102	47	to	to	PART
fcis-8578	102	48	evaluate	evaluate	VERB
fcis-8578	102	49	the	the	DET
fcis-8578	102	50	performance	performance	NOUN
fcis-8578	102	51	of	of	ADP
fcis-8578	102	52	the	the	DET
fcis-8578	102	53	model	model	NOUN
fcis-8578	102	54	.	.	PUNCT
fcis-8578	103	1	based	base	VERB
fcis-8578	103	2	on	on	ADP
fcis-8578	103	3	the	the	DET
fcis-8578	103	4	evaluation	evaluation	NOUN
fcis-8578	103	5	results	result	NOUN
fcis-8578	103	6	,	,	PUNCT
fcis-8578	103	7	the	the	DET
fcis-8578	103	8	model	model	NOUN
fcis-8578	103	9	is	be	AUX
fcis-8578	103	10	adjusted	adjust	VERB
fcis-8578	103	11	and	and	CCONJ
fcis-8578	103	12	optimized	optimize	VERB
fcis-8578	103	13	,	,	PUNCT
fcis-8578	103	14	and	and	CCONJ
fcis-8578	103	15	the	the	DET
fcis-8578	103	16	optimal	optimal	ADJ
fcis-8578	103	17	model	model	NOUN
fcis-8578	103	18	is	be	AUX
fcis-8578	103	19	finally	finally	ADV
fcis-8578	103	20	obtained	obtain	VERB
fcis-8578	103	21	.	.	PUNCT
fcis-8578	104	1	3.3	3.3	NUM
fcis-8578	104	2	.	.	PUNCT
fcis-8578	105	1	membrane	membrane	NOUN
fcis-8578	105	2	fouling	foul	VERB
fcis-8578	105	3	diagnostic	diagnostic	ADJ
fcis-8578	105	4	performance	performance	NOUN
fcis-8578	105	5	analysis	analysis	NOUN
fcis-8578	105	6	table	table	NOUN
fcis-8578	105	7	3	3	NUM
fcis-8578	105	8	.	.	PUNCT
fcis-8578	105	9	comparison	comparison	NOUN
fcis-8578	105	10	of	of	ADP
fcis-8578	105	11	average	average	ADJ
fcis-8578	105	12	accuracy	accuracy	NOUN
fcis-8578	105	13	diagnostic	diagnostic	ADJ
fcis-8578	105	14	models	model	NOUN
fcis-8578	105	15	average	average	ADJ
fcis-8578	105	16	accuracy	accuracy	NOUN
fcis-8578	105	17	rate	rate	NOUN
fcis-8578	105	18	ca	can	AUX
fcis-8578	105	19	-	-	PUNCT
fcis-8578	105	20	cnn	cnn	PROPN
fcis-8578	105	21	61.63	61.63	NUM
fcis-8578	105	22	%	%	NOUN
fcis-8578	105	23	resnet18	resnet18	NOUN
fcis-8578	105	24	91.58	91.58	NUM
fcis-8578	105	25	%	%	NOUN
fcis-8578	105	26	se	se	NOUN
fcis-8578	105	27	-	-	NOUN
fcis-8578	105	28	resnet18	resnet18	NOUN
fcis-8578	105	29	93.10	93.10	NUM
fcis-8578	105	30	%	%	NOUN
fcis-8578	105	31	sknet	sknet	NOUN
fcis-8578	105	32	-	-	PUNCT
fcis-8578	105	33	resnet18	resnet18	NOUN
fcis-8578	105	34	96.10	96.10	NUM
fcis-8578	105	35	%	%	NOUN
fcis-8578	105	36	ca	ca	NOUN
fcis-8578	105	37	-	-	PUNCT
fcis-8578	105	38	resnet18	resnet18	NOUN
fcis-8578	105	39	99.25	99.25	NUM
fcis-8578	105	40	%	%	NOUN
fcis-8578	105	41	to	to	PART
fcis-8578	105	42	evaluate	evaluate	VERB
fcis-8578	105	43	the	the	DET
fcis-8578	105	44	diagnostic	diagnostic	ADJ
fcis-8578	105	45	accuracy	accuracy	NOUN
fcis-8578	105	46	of	of	ADP
fcis-8578	105	47	the	the	DET
fcis-8578	105	48	proposed	propose	VERB
fcis-8578	105	49	caresnet18	caresnet18	NOUN
fcis-8578	105	50	model	model	NOUN
fcis-8578	105	51	in	in	ADP
fcis-8578	105	52	membrane	membrane	NOUN
fcis-8578	105	53	fouling	fouling	NOUN
fcis-8578	105	54	fault	fault	NOUN
fcis-8578	105	55	diagnosis	diagnosis	NOUN
fcis-8578	105	56	,	,	PUNCT
fcis-8578	105	57	a	a	DET
fcis-8578	105	58	comparison	comparison	NOUN
fcis-8578	105	59	experiment	experiment	NOUN
fcis-8578	105	60	was	be	AUX
fcis-8578	105	61	conducted	conduct	VERB
fcis-8578	105	62	using	use	VERB
fcis-8578	105	63	the	the	DET
fcis-8578	105	64	membrane	membrane	NOUN
fcis-8578	105	65	fouling	fouling	NOUN
fcis-8578	105	66	fault	fault	NOUN
fcis-8578	105	67	dataset	dataset	VERB
fcis-8578	105	68	.	.	PUNCT
fcis-8578	106	1	in	in	ADP
fcis-8578	106	2	addition	addition	NOUN
fcis-8578	106	3	to	to	ADP
fcis-8578	106	4	the	the	DET
fcis-8578	106	5	ca	ca	NOUN
fcis-8578	106	6	-	-	PUNCT
fcis-8578	106	7	resnet18	resnet18	NOUN
fcis-8578	106	8	model	model	NOUN
fcis-8578	106	9	,	,	PUNCT
fcis-8578	106	10	resnet18	resnet18	NOUN
fcis-8578	106	11	,	,	PUNCT
fcis-8578	106	12	sknet	sknet	NOUN
fcis-8578	106	13	-	-	PUNCT
fcis-8578	106	14	resnet18	resnet18	NOUN
fcis-8578	106	15	,	,	PUNCT
fcis-8578	106	16	se	se	NOUN
fcis-8578	106	17	-	-	NOUN
fcis-8578	106	18	resnet18	resnet18	NOUN
fcis-8578	106	19	,	,	PUNCT
fcis-8578	106	20	and	and	CCONJ
fcis-8578	106	21	ca	ca	NOUN
fcis-8578	106	22	-	-	PUNCT
fcis-8578	106	23	cnn	cnn	PROPN
fcis-8578	106	24	models	model	NOUN
fcis-8578	106	25	were	be	AUX
fcis-8578	106	26	also	also	ADV
fcis-8578	106	27	used	use	VERB
fcis-8578	106	28	for	for	ADP
fcis-8578	106	29	comparison	comparison	NOUN
fcis-8578	106	30	.	.	PUNCT
fcis-8578	107	1	the	the	DET
fcis-8578	107	2	experiment	experiment	NOUN
fcis-8578	107	3	aimed	aim	VERB
fcis-8578	107	4	to	to	PART
fcis-8578	107	5	assess	assess	VERB
fcis-8578	107	6	the	the	DET
fcis-8578	107	7	performance	performance	NOUN
fcis-8578	107	8	of	of	ADP
fcis-8578	107	9	these	these	DET
fcis-8578	107	10	models	model	NOUN
fcis-8578	107	11	in	in	ADP
fcis-8578	107	12	accurately	accurately	ADV
fcis-8578	107	13	diagnosing	diagnose	VERB
fcis-8578	107	14	membrane	membrane	NOUN
fcis-8578	107	15	fouling	fouling	NOUN
fcis-8578	107	16	faults	fault	NOUN
fcis-8578	107	17	.	.	PUNCT
fcis-8578	108	1	the	the	DET
fcis-8578	108	2	results	result	NOUN
fcis-8578	108	3	of	of	ADP
fcis-8578	108	4	the	the	DET
fcis-8578	108	5	experiment	experiment	NOUN
fcis-8578	108	6	were	be	AUX
fcis-8578	108	7	analyzed	analyze	VERB
fcis-8578	108	8	and	and	CCONJ
fcis-8578	108	9	compared	compare	VERB
fcis-8578	108	10	to	to	PART
fcis-8578	108	11	determine	determine	VERB
fcis-8578	108	12	the	the	DET
fcis-8578	108	13	best	well	ADV
fcis-8578	108	14	-	-	PUNCT
fcis-8578	108	15	performing	perform	VERB
fcis-8578	108	16	model	model	NOUN
fcis-8578	108	17	.	.	PUNCT
fcis-8578	109	1	overall	overall	ADV
fcis-8578	109	2	,	,	PUNCT
fcis-8578	109	3	the	the	DET
fcis-8578	109	4	comparison	comparison	NOUN
fcis-8578	109	5	experiment	experiment	NOUN
fcis-8578	109	6	serves	serve	VERB
fcis-8578	109	7	to	to	PART
fcis-8578	109	8	validate	validate	VERB
fcis-8578	109	9	the	the	DET
fcis-8578	109	10	diagnostic	diagnostic	ADJ
fcis-8578	109	11	accuracy	accuracy	NOUN
fcis-8578	109	12	of	of	ADP
fcis-8578	109	13	the	the	DET
fcis-8578	109	14	caresnet18	caresnet18	NOUN
fcis-8578	109	15	model	model	NOUN
fcis-8578	109	16	and	and	CCONJ
fcis-8578	109	17	demonstrate	demonstrate	VERB
fcis-8578	109	18	its	its	PRON
fcis-8578	109	19	superiority	superiority	NOUN
fcis-8578	109	20	in	in	ADP
fcis-8578	109	21	membrane	membrane	NOUN
fcis-8578	109	22	fouling	fouling	NOUN
fcis-8578	109	23	fault	fault	NOUN
fcis-8578	109	24	diagnosis	diagnosis	NOUN
fcis-8578	109	25	.	.	PUNCT
fcis-8578	110	1	it	it	PRON
fcis-8578	110	2	is	be	AUX
fcis-8578	110	3	clear	clear	ADJ
fcis-8578	110	4	from	from	ADP
fcis-8578	110	5	the	the	DET
fcis-8578	110	6	average	average	ADJ
fcis-8578	110	7	accuracy	accuracy	NOUN
fcis-8578	110	8	that	that	SCONJ
fcis-8578	110	9	ca	can	AUX
fcis-8578	110	10	-	-	PUNCT
fcis-8578	110	11	resnet18	resnet18	NOUN
fcis-8578	110	12	,	,	PUNCT
fcis-8578	110	13	compared	compare	VERB
fcis-8578	110	14	to	to	ADP
fcis-8578	110	15	ca	ca	NOUN
fcis-8578	110	16	-	-	PUNCT
fcis-8578	110	17	cnn	cnn	PROPN
fcis-8578	110	18	,	,	PUNCT
fcis-8578	110	19	has	have	AUX
fcis-8578	110	20	significantly	significantly	ADV
fcis-8578	110	21	improved	improve	VERB
fcis-8578	110	22	the	the	DET
fcis-8578	110	23	accuracy	accuracy	NOUN
fcis-8578	110	24	of	of	ADP
fcis-8578	110	25	diagnosis	diagnosis	NOUN
fcis-8578	110	26	by	by	ADP
fcis-8578	110	27	suppressing	suppress	VERB
fcis-8578	110	28	overfitting	overfitting	NOUN
fcis-8578	110	29	while	while	SCONJ
fcis-8578	110	30	retaining	retain	VERB
fcis-8578	110	31	the	the	DET
fcis-8578	110	32	original	original	ADJ
fcis-8578	110	33	neglected	neglect	VERB
fcis-8578	110	34	details	detail	NOUN
fcis-8578	110	35	through	through	ADP
fcis-8578	110	36	the	the	DET
fcis-8578	110	37	shortcut	shortcut	NOUN
fcis-8578	110	38	connection	connection	NOUN
fcis-8578	110	39	operation	operation	NOUN
fcis-8578	110	40	.	.	PUNCT
fcis-8578	111	1	when	when	SCONJ
fcis-8578	111	2	the	the	DET
fcis-8578	111	3	attention	attention	NOUN
fcis-8578	111	4	mechanism	mechanism	NOUN
fcis-8578	111	5	was	be	AUX
fcis-8578	111	6	added	add	VERB
fcis-8578	111	7	to	to	AUX
fcis-8578	111	8	resnet18	resnet18	VERB
fcis-8578	111	9	,	,	PUNCT
fcis-8578	111	10	there	there	PRON
fcis-8578	111	11	was	be	VERB
fcis-8578	111	12	a	a	DET
fcis-8578	111	13	significant	significant	ADJ
fcis-8578	111	14	improvement	improvement	NOUN
fcis-8578	111	15	in	in	ADP
fcis-8578	111	16	diagnostic	diagnostic	ADJ
fcis-8578	111	17	capability	capability	NOUN
fcis-8578	111	18	,	,	PUNCT
fcis-8578	111	19	with	with	ADP
fcis-8578	111	20	se	se	NOUN
fcis-8578	111	21	-	-	NOUN
fcis-8578	111	22	resnet18	resnet18	NOUN
fcis-8578	111	23	,	,	PUNCT
fcis-8578	111	24	sknet	sknet	NOUN
fcis-8578	111	25	-	-	PUNCT
fcis-8578	111	26	resnet18	resnet18	NOUN
fcis-8578	111	27	,	,	PUNCT
fcis-8578	111	28	and	and	CCONJ
fcis-8578	111	29	ca	ca	NOUN
fcis-8578	111	30	-	-	PUNCT
fcis-8578	111	31	resnet18	resnet18	NOUN
fcis-8578	111	32	improving	improve	VERB
fcis-8578	111	33	in	in	ADP
fcis-8578	111	34	accuracy	accuracy	NOUN
fcis-8578	111	35	by	by	ADP
fcis-8578	111	36	1.52	1.52	NUM
fcis-8578	111	37	%	%	NOUN
fcis-8578	111	38	,	,	PUNCT
fcis-8578	111	39	4.52	4.52	NUM
fcis-8578	111	40	%	%	NOUN
fcis-8578	111	41	,	,	PUNCT
fcis-8578	111	42	and	and	CCONJ
fcis-8578	111	43	7.67	7.67	NUM
fcis-8578	111	44	%	%	NOUN
fcis-8578	111	45	,	,	PUNCT
fcis-8578	111	46	respectively	respectively	ADV
fcis-8578	111	47	,	,	PUNCT
fcis-8578	111	48	compared	compare	VERB
fcis-8578	111	49	to	to	ADP
fcis-8578	111	50	resnet18	resnet18	NOUN
fcis-8578	111	51	.	.	PUNCT
fcis-8578	112	1	the	the	DET
fcis-8578	112	2	ca	ca	NOUN
fcis-8578	112	3	module	module	NOUN
fcis-8578	112	4	is	be	AUX
fcis-8578	112	5	superior	superior	ADJ
fcis-8578	112	6	in	in	ADP
fcis-8578	112	7	improving	improve	VERB
fcis-8578	112	8	resnet18	resnet18	NOUN
fcis-8578	112	9	accuracy	accuracy	NOUN
fcis-8578	112	10	compared	compare	VERB
fcis-8578	112	11	to	to	ADP
fcis-8578	112	12	resnet18	resnet18	NOUN
fcis-8578	112	13	with	with	ADP
fcis-8578	112	14	the	the	DET
fcis-8578	112	15	addition	addition	NOUN
fcis-8578	112	16	of	of	ADP
fcis-8578	112	17	the	the	DET
fcis-8578	112	18	sknet	sknet	NOUN
fcis-8578	112	19	,	,	PUNCT
fcis-8578	112	20	se	se	ADJ
fcis-8578	112	21	attention	attention	NOUN
fcis-8578	112	22	mechanism	mechanism	NOUN
fcis-8578	112	23	module	module	NOUN
fcis-8578	112	24	,	,	PUNCT
fcis-8578	112	25	thus	thus	ADV
fcis-8578	112	26	also	also	ADV
fcis-8578	112	27	demonstrating	demonstrate	VERB
fcis-8578	112	28	the	the	DET
fcis-8578	112	29	applicability	applicability	NOUN
fcis-8578	112	30	of	of	ADP
fcis-8578	112	31	adding	add	VERB
fcis-8578	112	32	coordinate	coordinate	NOUN
fcis-8578	112	33	features	feature	NOUN
fcis-8578	112	34	to	to	ADP
fcis-8578	112	35	membrane	membrane	ADJ
fcis-8578	112	36	fouling	fouling	NOUN
fcis-8578	112	37	diagnosis	diagnosis	NOUN
fcis-8578	112	38	.	.	PUNCT
fcis-8578	113	1	fig	fig	NOUN
fcis-8578	113	2	4	4	NUM
fcis-8578	113	3	.	.	PUNCT
fcis-8578	113	4	ca	can	AUX
fcis-8578	113	5	-	-	PUNCT
fcis-8578	113	6	resnet18	resnet18	NOUN
fcis-8578	113	7	confusion	confusion	NOUN
fcis-8578	113	8	matrix	matrix	NOUN
fcis-8578	113	9	heat	heat	NOUN
fcis-8578	113	10	map	map	VERB
fcis-8578	113	11	the	the	DET
fcis-8578	113	12	performance	performance	NOUN
fcis-8578	113	13	of	of	ADP
fcis-8578	113	14	the	the	DET
fcis-8578	113	15	ca	ca	NOUN
fcis-8578	113	16	-	-	PUNCT
fcis-8578	113	17	resnet18	resnet18	NOUN
fcis-8578	113	18	diagnostic	diagnostic	ADJ
fcis-8578	113	19	model	model	NOUN
fcis-8578	113	20	was	be	AUX
fcis-8578	113	21	evaluated	evaluate	VERB
fcis-8578	113	22	after	after	ADP
fcis-8578	113	23	100	100	NUM
fcis-8578	113	24	training	training	NOUN
fcis-8578	113	25	sessions	session	NOUN
fcis-8578	113	26	(	(	PUNCT
fcis-8578	113	27	shown	show	VERB
fcis-8578	113	28	in	in	ADP
fcis-8578	113	29	figure	figure	NOUN
fcis-8578	113	30	4	4	NUM
fcis-8578	113	31	)	)	PUNCT
fcis-8578	113	32	.	.	PUNCT
fcis-8578	114	1	the	the	DET
fcis-8578	114	2	results	result	NOUN
fcis-8578	114	3	demonstrate	demonstrate	VERB
fcis-8578	114	4	that	that	SCONJ
fcis-8578	114	5	the	the	DET
fcis-8578	114	6	model	model	NOUN
fcis-8578	114	7	performs	perform	VERB
fcis-8578	114	8	well	well	ADV
fcis-8578	114	9	on	on	ADP
fcis-8578	114	10	different	different	ADJ
fcis-8578	114	11	fault	fault	NOUN
fcis-8578	114	12	classes	class	NOUN
fcis-8578	114	13	and	and	CCONJ
fcis-8578	114	14	can	can	AUX
fcis-8578	114	15	achieve	achieve	VERB
fcis-8578	114	16	accurate	accurate	ADJ
fcis-8578	114	17	classification	classification	NOUN
fcis-8578	114	18	,	,	PUNCT
fcis-8578	114	19	with	with	ADP
fcis-8578	114	20	high	high	ADJ
fcis-8578	114	21	recognition	recognition	NOUN
fcis-8578	114	22	scores	score	NOUN
fcis-8578	114	23	in	in	ADP
fcis-8578	114	24	some	some	PRON
fcis-8578	114	25	of	of	ADP
fcis-8578	114	26	the	the	DET
fcis-8578	114	27	fault	fault	NOUN
fcis-8578	114	28	classes	class	NOUN
fcis-8578	114	29	.	.	PUNCT
fcis-8578	115	1	these	these	DET
fcis-8578	115	2	findings	finding	NOUN
fcis-8578	115	3	demonstrate	demonstrate	VERB
fcis-8578	115	4	the	the	DET
fcis-8578	115	5	stability	stability	NOUN
fcis-8578	115	6	and	and	CCONJ
fcis-8578	115	7	usefulness	usefulness	NOUN
fcis-8578	115	8	of	of	ADP
fcis-8578	115	9	the	the	DET
fcis-8578	115	10	ca	ca	NOUN
fcis-8578	115	11	-	-	PUNCT
fcis-8578	115	12	resnet18	resnet18	NOUN
fcis-8578	115	13	model	model	NOUN
fcis-8578	115	14	in	in	ADP
fcis-8578	115	15	diagnostic	diagnostic	ADJ
fcis-8578	115	16	classification	classification	NOUN
fcis-8578	115	17	problems	problem	NOUN
fcis-8578	115	18	,	,	PUNCT
fcis-8578	115	19	particularly	particularly	ADV
fcis-8578	115	20	in	in	ADP
fcis-8578	115	21	the	the	DET
fcis-8578	115	22	context	context	NOUN
fcis-8578	115	23	of	of	ADP
fcis-8578	115	24	membrane	membrane	NOUN
fcis-8578	115	25	fouling	fouling	NOUN
fcis-8578	115	26	fault	fault	NOUN
fcis-8578	115	27	diagnosis	diagnosis	NOUN
fcis-8578	115	28	.	.	PUNCT
fcis-8578	116	1	overall	overall	ADV
fcis-8578	116	2	,	,	PUNCT
fcis-8578	116	3	the	the	DET
fcis-8578	116	4	results	result	NOUN
fcis-8578	116	5	highlight	highlight	VERB
fcis-8578	116	6	the	the	DET
fcis-8578	116	7	potential	potential	NOUN
fcis-8578	116	8	of	of	ADP
fcis-8578	116	9	this	this	DET
fcis-8578	116	10	model	model	NOUN
fcis-8578	116	11	for	for	ADP
fcis-8578	116	12	practical	practical	ADJ
fcis-8578	116	13	applications	application	NOUN
fcis-8578	116	14	in	in	ADP
fcis-8578	116	15	the	the	DET
fcis-8578	116	16	field	field	NOUN
fcis-8578	116	17	of	of	ADP
fcis-8578	116	18	water	water	NOUN
fcis-8578	116	19	treatment	treatment	NOUN
fcis-8578	116	20	and	and	CCONJ
fcis-8578	116	21	related	related	ADJ
fcis-8578	116	22	industries	industry	NOUN
fcis-8578	116	23	.	.	PUNCT
fcis-8578	117	1	fig	fig	NOUN
fcis-8578	117	2	5	5	NUM
fcis-8578	117	3	.	.	PUNCT
fcis-8578	117	4	comparison	comparison	NOUN
fcis-8578	117	5	of	of	ADP
fcis-8578	117	6	loss	loss	NOUN
fcis-8578	117	7	functions	function	NOUN
fcis-8578	117	8	in	in	ADP
fcis-8578	117	9	the	the	DET
fcis-8578	117	10	comparison	comparison	NOUN
fcis-8578	117	11	of	of	ADP
fcis-8578	117	12	the	the	DET
fcis-8578	117	13	loss	loss	NOUN
fcis-8578	117	14	functions	function	NOUN
fcis-8578	117	15	(	(	PUNCT
fcis-8578	117	16	shown	show	VERB
fcis-8578	117	17	in	in	ADP
fcis-8578	117	18	figure	figure	NOUN
fcis-8578	117	19	5	5	NUM
fcis-8578	117	20	)	)	PUNCT
fcis-8578	117	21	,	,	PUNCT
fcis-8578	117	22	the	the	DET
fcis-8578	117	23	ca	ca	NOUN
fcis-8578	117	24	-	-	PUNCT
fcis-8578	117	25	cnn	cnn	PROPN
fcis-8578	117	26	was	be	AUX
fcis-8578	117	27	unable	unable	ADJ
fcis-8578	117	28	to	to	PART
fcis-8578	117	29	make	make	VERB
fcis-8578	117	30	an	an	DET
fcis-8578	117	31	accurate	accurate	ADJ
fcis-8578	117	32	judgment	judgment	NOUN
fcis-8578	117	33	in	in	ADP
fcis-8578	117	34	the	the	DET
fcis-8578	117	35	process	process	NOUN
fcis-8578	117	36	of	of	ADP
fcis-8578	117	37	finding	find	VERB
fcis-8578	117	38	the	the	DET
fcis-8578	117	39	best	good	ADJ
fcis-8578	117	40	due	due	ADJ
fcis-8578	117	41	to	to	ADP
fcis-8578	117	42	the	the	DET
fcis-8578	117	43	network	network	NOUN
fcis-8578	117	44	structure	structure	NOUN
fcis-8578	117	45	.	.	PUNCT
fcis-8578	118	1	although	although	SCONJ
fcis-8578	118	2	sknet	sknet	NOUN
fcis-8578	118	3	-	-	PUNCT
fcis-8578	118	4	resnet18	resnet18	NOUN
fcis-8578	118	5	incorporates	incorporate	VERB
fcis-8578	118	6	the	the	DET
fcis-8578	118	7	attention	attention	NOUN
fcis-8578	118	8	0	0	NUM
fcis-8578	118	9	20	20	NUM
fcis-8578	118	10	40	40	NUM
fcis-8578	118	11	60	60	NUM
fcis-8578	118	12	80	80	NUM
fcis-8578	118	13	100	100	NUM
fcis-8578	118	14	0.0	0.0	NUM
fcis-8578	118	15	0.5	0.5	NUM
fcis-8578	118	16	1.0	1.0	NUM
fcis-8578	118	17	1.5	1.5	NUM
fcis-8578	118	18	2.0	2.0	NUM
fcis-8578	118	19	2.5	2.5	NUM
fcis-8578	118	20	3.0	3.0	NUM
fcis-8578	118	21	3.5	3.5	NUM
fcis-8578	118	22	l	l	NOUN
fcis-8578	118	23	os	os	NOUN
fcis-8578	118	24	s	s	PART
fcis-8578	118	25	f	f	PROPN
fcis-8578	118	26	un	un	PROPN
fcis-8578	118	27	ct	ct	PROPN
fcis-8578	118	28	io	io	PROPN
fcis-8578	118	29	n	n	PROPN
fcis-8578	118	30	epoch	epoch	PROPN
fcis-8578	118	31	ca	ca	PROPN
fcis-8578	118	32	-	-	PUNCT
fcis-8578	118	33	cnn	cnn	PROPN
fcis-8578	118	34	resnet18	resnet18	NOUN
fcis-8578	118	35	se	se	PROPN
fcis-8578	118	36	-	-	NOUN
fcis-8578	118	37	resnet18	resnet18	NOUN
fcis-8578	118	38	sknet	sknet	NOUN
fcis-8578	118	39	-	-	PUNCT
fcis-8578	118	40	resnet18	resnet18	NOUN
fcis-8578	118	41	ca	ca	NOUN
fcis-8578	118	42	-	-	PUNCT
fcis-8578	118	43	resnet18	resnet18	NOUN
fcis-8578	118	44	106	106	NUM
fcis-8578	118	45	mechanism	mechanism	NOUN
fcis-8578	118	46	but	but	CCONJ
fcis-8578	118	47	performs	perform	VERB
fcis-8578	118	48	poorly	poorly	ADV
fcis-8578	118	49	in	in	ADP
fcis-8578	118	50	the	the	DET
fcis-8578	118	51	optimization	optimization	NOUN
fcis-8578	118	52	problem	problem	NOUN
fcis-8578	118	53	,	,	PUNCT
fcis-8578	118	54	the	the	DET
fcis-8578	118	55	loss	loss	NOUN
fcis-8578	118	56	function	function	NOUN
fcis-8578	118	57	has	have	VERB
fcis-8578	118	58	a	a	DET
fcis-8578	118	59	large	large	ADJ
fcis-8578	118	60	oscillation	oscillation	NOUN
fcis-8578	118	61	amplitude	amplitude	NOUN
fcis-8578	118	62	in	in	ADP
fcis-8578	118	63	the	the	DET
fcis-8578	118	64	early	early	ADJ
fcis-8578	118	65	stage	stage	NOUN
fcis-8578	118	66	and	and	CCONJ
fcis-8578	118	67	converges	converge	VERB
fcis-8578	118	68	slowly	slowly	ADV
fcis-8578	118	69	in	in	ADP
fcis-8578	118	70	the	the	DET
fcis-8578	118	71	late	late	ADJ
fcis-8578	118	72	stage	stage	NOUN
fcis-8578	118	73	,	,	PUNCT
fcis-8578	118	74	so	so	CCONJ
fcis-8578	118	75	this	this	DET
fcis-8578	118	76	diagnostic	diagnostic	ADJ
fcis-8578	118	77	network	network	NOUN
fcis-8578	118	78	performs	perform	VERB
fcis-8578	118	79	poorly	poorly	ADV
fcis-8578	118	80	in	in	ADP
fcis-8578	118	81	the	the	DET
fcis-8578	118	82	stability	stability	NOUN
fcis-8578	118	83	of	of	ADP
fcis-8578	118	84	the	the	DET
fcis-8578	118	85	model	model	NOUN
fcis-8578	118	86	compared	compare	VERB
fcis-8578	118	87	with	with	ADP
fcis-8578	118	88	se	se	NOUN
fcis-8578	118	89	-	-	NOUN
fcis-8578	118	90	resnet18	resnet18	NOUN
fcis-8578	118	91	and	and	CCONJ
fcis-8578	118	92	ca	ca	NOUN
fcis-8578	118	93	-	-	PUNCT
fcis-8578	118	94	resnet18	resnet18	NOUN
fcis-8578	118	95	,	,	PUNCT
fcis-8578	118	96	even	even	ADV
fcis-8578	118	97	less	less	ADJ
fcis-8578	118	98	than	than	ADP
fcis-8578	118	99	the	the	DET
fcis-8578	118	100	performance	performance	NOUN
fcis-8578	118	101	of	of	ADP
fcis-8578	118	102	the	the	DET
fcis-8578	118	103	resnet18	resnet18	NOUN
fcis-8578	118	104	model	model	NOUN
fcis-8578	118	105	.	.	PUNCT
fcis-8578	119	1	the	the	DET
fcis-8578	119	2	caresnet18	caresnet18	NOUN
fcis-8578	119	3	diagnostic	diagnostic	ADJ
fcis-8578	119	4	model	model	NOUN
fcis-8578	119	5	has	have	VERB
fcis-8578	119	6	a	a	DET
fcis-8578	119	7	higher	high	ADJ
fcis-8578	119	8	rate	rate	NOUN
fcis-8578	119	9	of	of	ADP
fcis-8578	119	10	change	change	NOUN
fcis-8578	119	11	and	and	CCONJ
fcis-8578	119	12	good	good	ADJ
fcis-8578	119	13	convergence	convergence	NOUN
fcis-8578	119	14	compared	compare	VERB
fcis-8578	119	15	with	with	ADP
fcis-8578	119	16	other	other	ADJ
fcis-8578	119	17	models	model	NOUN
fcis-8578	119	18	,	,	PUNCT
fcis-8578	119	19	can	can	AUX
fcis-8578	119	20	achieve	achieve	VERB
fcis-8578	119	21	fast	fast	ADJ
fcis-8578	119	22	optimization	optimization	NOUN
fcis-8578	119	23	,	,	PUNCT
fcis-8578	119	24	and	and	CCONJ
fcis-8578	119	25	is	be	AUX
fcis-8578	119	26	more	more	ADV
fcis-8578	119	27	stable	stable	ADJ
fcis-8578	119	28	and	and	CCONJ
fcis-8578	119	29	less	less	ADV
fcis-8578	119	30	volatile	volatile	ADJ
fcis-8578	119	31	than	than	ADP
fcis-8578	119	32	seresnet18	seresnet18	NOUN
fcis-8578	119	33	and	and	CCONJ
fcis-8578	119	34	resnet18	resnet18	NOUN
fcis-8578	119	35	in	in	ADP
fcis-8578	119	36	the	the	DET
fcis-8578	119	37	later	later	ADJ
fcis-8578	119	38	stages	stage	NOUN
fcis-8578	119	39	of	of	ADP
fcis-8578	119	40	training	training	NOUN
fcis-8578	119	41	,	,	PUNCT
fcis-8578	119	42	without	without	ADP
fcis-8578	119	43	falling	fall	VERB
fcis-8578	119	44	into	into	ADP
fcis-8578	119	45	the	the	DET
fcis-8578	119	46	local	local	ADJ
fcis-8578	119	47	optimum	optimum	ADJ
fcis-8578	119	48	problem	problem	NOUN
fcis-8578	119	49	,	,	PUNCT
fcis-8578	119	50	thus	thus	ADV
fcis-8578	119	51	proving	prove	VERB
fcis-8578	119	52	that	that	SCONJ
fcis-8578	119	53	ca	can	AUX
fcis-8578	119	54	-	-	PUNCT
fcis-8578	119	55	resnet18	resnet18	NOUN
fcis-8578	119	56	has	have	VERB
fcis-8578	119	57	good	good	ADJ
fcis-8578	119	58	stability	stability	NOUN
fcis-8578	119	59	.	.	PUNCT
fcis-8578	120	1	4	4	X
fcis-8578	120	2	.	.	X
fcis-8578	120	3	conclusion	conclusion	NOUN
fcis-8578	120	4	the	the	DET
fcis-8578	120	5	current	current	ADJ
fcis-8578	120	6	membrane	membrane	NOUN
fcis-8578	120	7	fouling	fouling	NOUN
fcis-8578	120	8	diagnosis	diagnosis	NOUN
fcis-8578	120	9	process	process	NOUN
fcis-8578	120	10	relies	rely	VERB
fcis-8578	120	11	on	on	ADP
fcis-8578	120	12	empirical	empirical	ADJ
fcis-8578	120	13	methods	method	NOUN
fcis-8578	120	14	and	and	CCONJ
fcis-8578	120	15	data	datum	NOUN
fcis-8578	120	16	analysis	analysis	NOUN
fcis-8578	120	17	,	,	PUNCT
fcis-8578	120	18	which	which	PRON
fcis-8578	120	19	are	be	AUX
fcis-8578	120	20	both	both	CCONJ
fcis-8578	120	21	timeconsuming	timeconsuming	ADJ
fcis-8578	120	22	and	and	CCONJ
fcis-8578	120	23	problematic	problematic	ADJ
fcis-8578	120	24	,	,	PUNCT
fcis-8578	120	25	with	with	ADP
fcis-8578	120	26	complex	complex	ADJ
fcis-8578	120	27	features	feature	NOUN
fcis-8578	120	28	causing	cause	VERB
fcis-8578	120	29	diagnostic	diagnostic	ADJ
fcis-8578	120	30	faults	fault	NOUN
fcis-8578	120	31	.	.	PUNCT
fcis-8578	121	1	therefore	therefore	ADV
fcis-8578	121	2	,	,	PUNCT
fcis-8578	121	3	this	this	DET
fcis-8578	121	4	paper	paper	NOUN
fcis-8578	121	5	proposes	propose	VERB
fcis-8578	121	6	a	a	DET
fcis-8578	121	7	deep	deep	ADJ
fcis-8578	121	8	learning	learning	NOUN
fcis-8578	121	9	-	-	PUNCT
fcis-8578	121	10	based	base	VERB
fcis-8578	121	11	diagnostic	diagnostic	ADJ
fcis-8578	121	12	strategy	strategy	NOUN
fcis-8578	121	13	,	,	PUNCT
fcis-8578	121	14	ca	ca	NOUN
fcis-8578	121	15	-	-	PUNCT
fcis-8578	121	16	resnet.18	resnet.18	VERB
fcis-8578	121	17	the	the	DET
fcis-8578	121	18	main	main	ADJ
fcis-8578	121	19	conclusions	conclusion	NOUN
fcis-8578	121	20	of	of	ADP
fcis-8578	121	21	this	this	DET
fcis-8578	121	22	paper	paper	NOUN
fcis-8578	121	23	are	be	AUX
fcis-8578	121	24	:	:	PUNCT
fcis-8578	121	25	1	1	X
fcis-8578	121	26	.	.	X
fcis-8578	121	27	resampling	resampling	NOUN
fcis-8578	121	28	and	and	CCONJ
fcis-8578	121	29	visualization	visualization	NOUN
fcis-8578	121	30	of	of	ADP
fcis-8578	121	31	fault	fault	NOUN
fcis-8578	121	32	data	datum	NOUN
fcis-8578	121	33	to	to	PART
fcis-8578	121	34	enhance	enhance	VERB
fcis-8578	121	35	the	the	DET
fcis-8578	121	36	data	datum	NOUN
fcis-8578	121	37	and	and	CCONJ
fcis-8578	121	38	improve	improve	VERB
fcis-8578	121	39	its	its	PRON
fcis-8578	121	40	generalization	generalization	NOUN
fcis-8578	121	41	.	.	PUNCT
fcis-8578	122	1	2	2	X
fcis-8578	122	2	.	.	X
fcis-8578	122	3	through	through	ADP
fcis-8578	122	4	the	the	DET
fcis-8578	122	5	attention	attention	NOUN
fcis-8578	122	6	mechanism	mechanism	NOUN
fcis-8578	122	7	,	,	PUNCT
fcis-8578	122	8	the	the	DET
fcis-8578	122	9	feature	feature	NOUN
fcis-8578	122	10	extraction	extraction	NOUN
fcis-8578	122	11	channel	channel	NOUN
fcis-8578	122	12	is	be	AUX
fcis-8578	122	13	extended	extend	VERB
fcis-8578	122	14	from	from	ADP
fcis-8578	122	15	one	one	NUM
fcis-8578	122	16	-	-	PUNCT
fcis-8578	122	17	dimensional	dimensional	ADJ
fcis-8578	122	18	to	to	ADP
fcis-8578	122	19	multidimensional	multidimensional	ADJ
fcis-8578	122	20	to	to	PART
fcis-8578	122	21	strengthen	strengthen	VERB
fcis-8578	122	22	the	the	DET
fcis-8578	122	23	network	network	NOUN
fcis-8578	122	24	's	's	PART
fcis-8578	122	25	ability	ability	NOUN
fcis-8578	122	26	to	to	PART
fcis-8578	122	27	extract	extract	VERB
fcis-8578	122	28	feature	feature	NOUN
fcis-8578	122	29	information	information	NOUN
fcis-8578	122	30	.	.	PUNCT
fcis-8578	123	1	the	the	DET
fcis-8578	123	2	results	result	NOUN
fcis-8578	123	3	in	in	ADP
fcis-8578	123	4	the	the	DET
fcis-8578	123	5	diagnostic	diagnostic	ADJ
fcis-8578	123	6	performance	performance	NOUN
fcis-8578	123	7	experiments	experiment	NOUN
fcis-8578	123	8	show	show	VERB
fcis-8578	123	9	that	that	SCONJ
fcis-8578	123	10	the	the	DET
fcis-8578	123	11	fault	fault	NOUN
fcis-8578	123	12	diagnosis	diagnosis	NOUN
fcis-8578	123	13	capability	capability	NOUN
fcis-8578	123	14	of	of	ADP
fcis-8578	123	15	the	the	DET
fcis-8578	123	16	proposed	propose	VERB
fcis-8578	123	17	model	model	NOUN
fcis-8578	123	18	in	in	ADP
fcis-8578	123	19	this	this	DET
fcis-8578	123	20	paper	paper	NOUN
fcis-8578	123	21	is	be	AUX
fcis-8578	123	22	superior	superior	ADJ
fcis-8578	123	23	to	to	ADP
fcis-8578	123	24	other	other	ADJ
fcis-8578	123	25	network	network	NOUN
fcis-8578	123	26	models	model	NOUN
fcis-8578	123	27	(	(	PUNCT
fcis-8578	123	28	resnet18	resnet18	NOUN
fcis-8578	123	29	,	,	PUNCT
fcis-8578	123	30	sknet	sknet	NOUN
fcis-8578	123	31	-	-	PUNCT
fcis-8578	123	32	resnet18	resnet18	NOUN
fcis-8578	123	33	,	,	PUNCT
fcis-8578	123	34	se	se	NOUN
fcis-8578	123	35	-	-	NOUN
fcis-8578	123	36	resnet18	resnet18	NOUN
fcis-8578	123	37	,	,	PUNCT
fcis-8578	123	38	cacnn	cacnn	PROPN
fcis-8578	123	39	)	)	PUNCT
fcis-8578	123	40	with	with	ADP
fcis-8578	123	41	significantly	significantly	ADV
fcis-8578	123	42	higher	high	ADJ
fcis-8578	123	43	accuracy	accuracy	NOUN
fcis-8578	123	44	,	,	PUNCT
fcis-8578	123	45	and	and	CCONJ
fcis-8578	123	46	thus	thus	ADV
fcis-8578	123	47	the	the	DET
fcis-8578	123	48	experimental	experimental	ADJ
fcis-8578	123	49	results	result	NOUN
fcis-8578	123	50	achieve	achieve	VERB
fcis-8578	123	51	the	the	DET
fcis-8578	123	52	expected	expect	VERB
fcis-8578	123	53	objectives	objective	NOUN
fcis-8578	123	54	.	.	PUNCT
fcis-8578	124	1	thus	thus	ADV
fcis-8578	124	2	,	,	PUNCT
fcis-8578	124	3	it	it	PRON
fcis-8578	124	4	is	be	AUX
fcis-8578	124	5	proved	prove	VERB
fcis-8578	124	6	that	that	SCONJ
fcis-8578	124	7	the	the	DET
fcis-8578	124	8	ca	ca	NOUN
fcis-8578	124	9	-	-	PUNCT
fcis-8578	124	10	resnet18	resnet18	NOUN
fcis-8578	124	11	proposed	propose	VERB
fcis-8578	124	12	in	in	ADP
fcis-8578	124	13	this	this	DET
fcis-8578	124	14	paper	paper	NOUN
fcis-8578	124	15	applies	apply	VERB
fcis-8578	124	16	to	to	ADP
fcis-8578	124	17	the	the	DET
fcis-8578	124	18	field	field	NOUN
fcis-8578	124	19	of	of	ADP
fcis-8578	124	20	membrane	membrane	NOUN
fcis-8578	124	21	fouling	fouling	NOUN
fcis-8578	124	22	fault	fault	NOUN
fcis-8578	124	23	diagnosis	diagnosis	NOUN
fcis-8578	124	24	.	.	PUNCT
fcis-8578	125	1	references	reference	NOUN
fcis-8578	125	2	[	[	X
fcis-8578	125	3	1	1	NUM
fcis-8578	125	4	]	]	X
fcis-8578	125	5	x.j	x.j	PROPN
fcis-8578	125	6	.	.	PROPN
fcis-8578	125	7	du	du	PROPN
fcis-8578	125	8	,	,	PUNCT
fcis-8578	125	9	y.k	y.k	PROPN
fcis-8578	125	10	.	.	PROPN
fcis-8578	125	11	shi	shi	PROPN
fcis-8578	125	12	,	,	PUNCT
fcis-8578	125	13	v.	v.	CCONJ
fcis-8578	125	14	jegatheesan	jegatheesan	PROPN
fcis-8578	125	15	,	,	PUNCT
fcis-8578	125	16	ul	ul	INTJ
fcis-8578	125	17	haq	haq	PROPN
fcis-8578	125	18	,	,	PUNCT
fcis-8578	125	19	2020	2020	NUM
fcis-8578	125	20	.	.	PUNCT
fcis-8578	126	1	a	a	DET
fcis-8578	126	2	review	review	NOUN
fcis-8578	126	3	on	on	ADP
fcis-8578	126	4	the	the	DET
fcis-8578	126	5	mechanism	mechanism	NOUN
fcis-8578	126	6	,	,	PUNCT
fcis-8578	126	7	impacts	impact	NOUN
fcis-8578	126	8	and	and	CCONJ
fcis-8578	126	9	control	control	NOUN
fcis-8578	126	10	methods	method	NOUN
fcis-8578	126	11	of	of	ADP
fcis-8578	126	12	membrane	membrane	NOUN
fcis-8578	126	13	fouling	fouling	NOUN
fcis-8578	126	14	in	in	ADP
fcis-8578	126	15	mbr	mbr	PROPN
fcis-8578	126	16	system	system	NOUN
fcis-8578	126	17	.	.	PUNCT
fcis-8578	127	1	membranes	membrane	NOUN
fcis-8578	127	2	.	.	PUNCT
fcis-8578	128	1	10	10	NUM
fcis-8578	128	2	,	,	PUNCT
fcis-8578	128	3	24	24	NUM
fcis-8578	128	4	.	.	PUNCT
fcis-8578	129	1	https://	https://	PROPN
fcis-8578	129	2	doi.org/	doi.org/	ADJ
fcis-8578	129	3	10.3390/	10.3390/	NUM
fcis-8578	129	4	membranes10020024	membranes10020024	PROPN
fcis-8578	129	5	.	.	PUNCT
fcis-8578	130	1	[	[	X
fcis-8578	130	2	2	2	NUM
fcis-8578	130	3	]	]	X
fcis-8578	130	4	b.	b.	PROPN
fcis-8578	130	5	li	li	PROPN
fcis-8578	130	6	,	,	PUNCT
fcis-8578	130	7	c.	c.	PROPN
fcis-8578	130	8	delpha	delpha	PROPN
fcis-8578	130	9	,	,	PUNCT
fcis-8578	130	10	d.	d.	PROPN
fcis-8578	130	11	diallo	diallo	PROPN
fcis-8578	130	12	,	,	PUNCT
fcis-8578	130	13	a.	a.	PROPN
fcis-8578	130	14	migan	migan	PROPN
fcis-8578	130	15	-	-	PUNCT
fcis-8578	130	16	dubois	dubois	PROPN
fcis-8578	130	17	,	,	PUNCT
fcis-8578	130	18	2021	2021	NUM
fcis-8578	130	19	.	.	PUNCT
fcis-8578	131	1	application	application	NOUN
fcis-8578	131	2	of	of	ADP
fcis-8578	131	3	artificial	artificial	ADJ
fcis-8578	131	4	neural	neural	ADJ
fcis-8578	131	5	networks	network	NOUN
fcis-8578	131	6	to	to	PART
fcis-8578	131	7	photovoltaic	photovoltaic	VERB
fcis-8578	131	8	fault	fault	NOUN
fcis-8578	131	9	detection	detection	NOUN
fcis-8578	131	10	and	and	CCONJ
fcis-8578	131	11	diagnosis	diagnosis	NOUN
fcis-8578	131	12	:	:	PUNCT
fcis-8578	131	13	a	a	DET
fcis-8578	131	14	review	review	NOUN
fcis-8578	131	15	.	.	PUNCT
fcis-8578	132	1	renew	renew	VERB
fcis-8578	132	2	.	.	PUNCT
fcis-8578	133	1	sust	sust	PROPN
fcis-8578	133	2	.	.	PUNCT
fcis-8578	134	1	energ	energ	PROPN
fcis-8578	134	2	.	.	PUNCT
fcis-8578	135	1	rev	rev	PROPN
fcis-8578	135	2	.	.	PROPN
fcis-8578	135	3	138	138	NUM
fcis-8578	135	4	,	,	PUNCT
fcis-8578	135	5	110512	110512	NUM
fcis-8578	135	6	.	.	PUNCT
fcis-8578	136	1	https://doi.org/10.1016/j.rser.2020.110512	https://doi.org/10.1016/j.rser.2020.110512	NOUN
fcis-8578	136	2	.	.	PUNCT
fcis-8578	137	1	[	[	X
fcis-8578	137	2	3	3	X
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fcis-8578	166	5	-	-	SYM
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fcis-8578	170	11	-	-	SYM
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fcis-8578	173	8	.	.	PUNCT
fcis-8578	174	1	https://	https://	NOUN
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fcis-8578	208	1	https://	https://	PROPN
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fcis-8578	217	14	c.	c.	PROPN
fcis-8578	217	15	wang	wang	PROPN
fcis-8578	217	16	.	.	PUNCT
fcis-8578	218	1	learning	learn	VERB
fcis-8578	218	2	to	to	PART
fcis-8578	218	3	transfer	transfer	VERB
fcis-8578	218	4	attention	attention	NOUN
fcis-8578	218	5	in	in	ADP
fcis-8578	218	6	multi	multi	ADJ
fcis-8578	218	7	-	-	ADJ
fcis-8578	218	8	level	level	ADJ
fcis-8578	218	9	features	feature	NOUN
fcis-8578	218	10	for	for	ADP
fcis-8578	218	11	rotated	rotate	VERB
fcis-8578	218	12	ship	ship	NOUN
fcis-8578	218	13	detection	detection	NOUN
fcis-8578	218	14	,	,	PUNCT
fcis-8578	218	15	neural	neural	ADJ
fcis-8578	218	16	comput	comput	NOUN
fcis-8578	218	17	.	.	PUNCT
fcis-8578	219	1	appl	appl	PROPN
fcis-8578	219	2	.	.	PUNCT
fcis-8578	220	1	34	34	NUM
fcis-8578	220	2	(	(	PUNCT
fcis-8578	220	3	2022	2022	NUM
fcis-8578	220	4	)	)	PUNCT
fcis-8578	220	5	19831	19831	NUM
fcis-8578	220	6	-	-	SYM
fcis-8578	220	7	19844	19844	NUM
fcis-8578	220	8	.	.	PUNCT
fcis-8578	221	1	https://	https://	NOUN
fcis-8578	221	2	doi.org/	doi.org/	VERB
fcis-8578	221	3	10.1007/	10.1007/	NUM
fcis-8578	221	4	s00521	s00521	NOUN
fcis-8578	221	5	-	-	PUNCT
fcis-8578	221	6	022	022	NUM
fcis-8578	221	7	-	-	PUNCT
fcis-8578	221	8	07491	07491	NUM
fcis-8578	221	9	-	-	PUNCT
fcis-8578	221	10	z.	z.	NOUN
fcis-8578	222	1	[	[	X
fcis-8578	222	2	21	21	NUM
fcis-8578	222	3	]	]	X
fcis-8578	222	4	s.h	s.h	PROPN
fcis-8578	222	5	.	.	PROPN
fcis-8578	222	6	yoon	yoon	PROPN
fcis-8578	222	7	,	,	PUNCT
fcis-8578	222	8	membrane	membrane	NOUN
fcis-8578	222	9	bioreactor	bioreactor	NOUN
fcis-8578	222	10	processes	process	NOUN
fcis-8578	222	11	(	(	PUNCT
fcis-8578	222	12	advances	advance	NOUN
fcis-8578	222	13	in	in	ADP
fcis-8578	222	14	water	water	NOUN
fcis-8578	222	15	and	and	CCONJ
fcis-8578	222	16	wastewater	wastewater	NOUN
fcis-8578	222	17	transport	transport	NOUN
fcis-8578	222	18	and	and	CCONJ
fcis-8578	222	19	treatment	treatment	NOUN
fcis-8578	222	20	)	)	PUNCT
fcis-8578	222	21	,	,	PUNCT
fcis-8578	222	22	1st	1st	ADJ
fcis-8578	222	23	ed	ed	NOUN
fcis-8578	222	24	.	.	PROPN
fcis-8578	222	25	,	,	PUNCT
fcis-8578	222	26	crc	crc	PROPN
fcis-8578	222	27	press	press	PROPN
fcis-8578	222	28	:	:	PUNCT
fcis-8578	222	29	boca	boca	PROPN
fcis-8578	222	30	raton	raton	PROPN
fcis-8578	222	31	,	,	PUNCT
fcis-8578	222	32	fl	fl	PROPN
fcis-8578	222	33	,	,	PUNCT
fcis-8578	222	34	usa	usa	PROPN
fcis-8578	222	35	,	,	PUNCT
fcis-8578	222	36	2020	2020	NUM
fcis-8578	222	37	.	.	PUNCT