id	sid	tid	token	lemma	pos
easat-8312	1	1	edelweiss	edelweiss	PROPN
easat-8312	1	2	applied	apply	VERB
easat-8312	1	3	science	science	NOUN
easat-8312	1	4	and	and	CCONJ
easat-8312	1	5	technology	technology	NOUN
easat-8312	1	6	issn	issn	PROPN
easat-8312	1	7	:	:	PUNCT
easat-8312	1	8	2576	2576	NUM
easat-8312	1	9	-	-	SYM
easat-8312	1	10	8484	8484	NUM
easat-8312	1	11	vol	vol	NOUN
easat-8312	1	12	.	.	PROPN
easat-8312	2	1	9	9	NUM
easat-8312	2	2	,	,	PUNCT
easat-8312	2	3	no	no	INTJ
easat-8312	2	4	.	.	NOUN
easat-8312	2	5	6	6	NUM
easat-8312	2	6	,	,	PUNCT
easat-8312	2	7	2035	2035	NUM
easat-8312	2	8	-	-	SYM
easat-8312	2	9	2054	2054	NUM
easat-8312	2	10	2025	2025	NUM
easat-8312	2	11	publisher	publisher	NOUN
easat-8312	2	12	:	:	PUNCT
easat-8312	2	13	learning	learn	VERB
easat-8312	2	14	gate	gate	NOUN
easat-8312	2	15	doi	doi	PROPN
easat-8312	2	16	:	:	PUNCT
easat-8312	2	17	10.55214/25768484.v9i6.8312	10.55214/25768484.v9i6.8312	PROPN
easat-8312	2	18	©	©	PROPN
easat-8312	2	19	2025	2025	NUM
easat-8312	2	20	by	by	ADP
easat-8312	2	21	the	the	DET
easat-8312	2	22	authors	author	NOUN
easat-8312	2	23	;	;	PUNCT
easat-8312	2	24	licensee	licensee	PROPN
easat-8312	2	25	learning	learning	NOUN
easat-8312	2	26	gate	gate	NOUN
easat-8312	3	1	©	©	PROPN
easat-8312	3	2	2025	2025	NUM
easat-8312	3	3	by	by	ADP
easat-8312	3	4	the	the	DET
easat-8312	3	5	authors	author	NOUN
easat-8312	3	6	;	;	PUNCT
easat-8312	3	7	licensee	licensee	PROPN
easat-8312	3	8	learning	learning	NOUN
easat-8312	3	9	gate	gate	NOUN
easat-8312	3	10	history	history	NOUN
easat-8312	3	11	:	:	PUNCT
easat-8312	3	12	received	receive	VERB
easat-8312	3	13	:	:	PUNCT
easat-8312	3	14	24	24	NUM
easat-8312	3	15	april	april	PROPN
easat-8312	3	16	2025	2025	NUM
easat-8312	3	17	;	;	PUNCT
easat-8312	3	18	revised	revise	VERB
easat-8312	3	19	:	:	PUNCT
easat-8312	3	20	26	26	NUM
easat-8312	3	21	may	may	PROPN
easat-8312	3	22	2025	2025	NUM
easat-8312	3	23	;	;	PUNCT
easat-8312	3	24	accepted	accept	VERB
easat-8312	3	25	:	:	PUNCT
easat-8312	3	26	30	30	NUM
easat-8312	3	27	may	may	PROPN
easat-8312	3	28	2025	2025	NUM
easat-8312	3	29	;	;	PUNCT
easat-8312	3	30	published	publish	VERB
easat-8312	3	31	:	:	PUNCT
easat-8312	4	1	23	23	NUM
easat-8312	4	2	june	june	PROPN
easat-8312	4	3	2025	2025	NUM
easat-8312	4	4	*	*	PUNCT
easat-8312	4	5	correspondence	correspondence	NOUN
easat-8312	4	6	:	:	PUNCT
easat-8312	5	1	chonlatee.p@msu.ac.th	chonlatee.p@msu.ac.th	ADJ
easat-8312	5	2	a	a	DET
easat-8312	5	3	more	more	ADV
easat-8312	5	4	robust	robust	ADJ
easat-8312	5	5	cnn	cnn	PROPN
easat-8312	5	6	-	-	PUNCT
easat-8312	5	7	bigru	bigru	NOUN
easat-8312	5	8	-	-	PUNCT
easat-8312	5	9	tpa	tpa	NOUN
easat-8312	5	10	model	model	NOUN
easat-8312	5	11	for	for	ADP
easat-8312	5	12	wind	wind	NOUN
easat-8312	5	13	turbine	turbine	NOUN
easat-8312	5	14	blade	blade	NOUN
easat-8312	5	15	icing	ice	VERB
easat-8312	5	16	prediction	prediction	NOUN
easat-8312	5	17	tao	tao	PROPN
easat-8312	5	18	chen1,2	chen1,2	PROPN
easat-8312	5	19	,	,	PUNCT
easat-8312	5	20	caixia	caixia	PROPN
easat-8312	5	21	yang1	yang1	PROPN
easat-8312	5	22	,	,	PUNCT
easat-8312	5	23	yao	yao	PROPN
easat-8312	5	24	xiao1	xiao1	PROPN
easat-8312	5	25	,	,	PUNCT
easat-8312	5	26	chaoying	chaoye	VERB
easat-8312	5	27	yan3	yan3	PROPN
easat-8312	5	28	,	,	PUNCT
easat-8312	5	29	chonlatee	chonlatee	NOUN
easat-8312	5	30	photong2	photong2	NOUN
easat-8312	5	31	*	*	PROPN
easat-8312	5	32	1college	1college	NUM
easat-8312	5	33	of	of	ADP
easat-8312	5	34	electrical	electrical	ADJ
easat-8312	5	35	engineering	engineering	NOUN
easat-8312	5	36	,	,	PUNCT
easat-8312	5	37	hunan	hunan	PROPN
easat-8312	5	38	mechanical	mechanical	ADJ
easat-8312	5	39	and	and	CCONJ
easat-8312	5	40	electrical	electrical	ADJ
easat-8312	5	41	polytechnic	polytechnic	ADJ
easat-8312	5	42	,	,	PUNCT
easat-8312	5	43	changsha	changsha	PROPN
easat-8312	5	44	410073	410073	NUM
easat-8312	5	45	,	,	PUNCT
easat-8312	5	46	china	china	PROPN
easat-8312	5	47	.	.	PUNCT
easat-8312	6	1	2faculty	2faculty	NUM
easat-8312	6	2	of	of	ADP
easat-8312	6	3	engineering	engineering	NOUN
easat-8312	6	4	,	,	PUNCT
easat-8312	6	5	mahasarakham	mahasarakham	PROPN
easat-8312	6	6	university	university	PROPN
easat-8312	6	7	,	,	PUNCT
easat-8312	6	8	mahasarakham	mahasarakham	PROPN
easat-8312	6	9	44150	44150	NUM
easat-8312	6	10	,	,	PUNCT
easat-8312	6	11	thailand	thailand	PROPN
easat-8312	6	12	;	;	PUNCT
easat-8312	6	13	chonlatee.p@msu.ac.th	chonlatee.p@msu.ac.th	PROPN
easat-8312	6	14	(	(	PUNCT
easat-8312	6	15	c.p	c.p	PROPN
easat-8312	6	16	.	.	PROPN
easat-8312	6	17	)	)	PUNCT
easat-8312	6	18	.	.	PUNCT
easat-8312	7	1	3college	3college	NUM
easat-8312	7	2	of	of	ADP
easat-8312	7	3	mechanical	mechanical	ADJ
easat-8312	7	4	engineering	engineering	NOUN
easat-8312	7	5	,	,	PUNCT
easat-8312	7	6	hunan	hunan	PROPN
easat-8312	7	7	industry	industry	PROPN
easat-8312	7	8	polytechnic	polytechnic	PROPN
easat-8312	7	9	,	,	PUNCT
easat-8312	7	10	changsha	changsha	PROPN
easat-8312	7	11	410208	410208	NUM
easat-8312	7	12	,	,	PUNCT
easat-8312	7	13	china	china	PROPN
easat-8312	7	14	.	.	PUNCT
easat-8312	8	1	abstract	abstract	ADJ
easat-8312	8	2	:	:	PUNCT
easat-8312	8	3	wind	wind	NOUN
easat-8312	8	4	turbine	turbine	NOUN
easat-8312	8	5	blade	blade	NOUN
easat-8312	8	6	icing	ice	VERB
easat-8312	8	7	poses	pose	VERB
easat-8312	8	8	a	a	DET
easat-8312	8	9	significant	significant	ADJ
easat-8312	8	10	challenge	challenge	NOUN
easat-8312	8	11	to	to	ADP
easat-8312	8	12	the	the	DET
easat-8312	8	13	reliability	reliability	NOUN
easat-8312	8	14	and	and	CCONJ
easat-8312	8	15	efficiency	efficiency	NOUN
easat-8312	8	16	of	of	ADP
easat-8312	8	17	wind	wind	NOUN
easat-8312	8	18	power	power	NOUN
easat-8312	8	19	generation	generation	NOUN
easat-8312	8	20	,	,	PUNCT
easat-8312	8	21	especially	especially	ADV
easat-8312	8	22	in	in	ADP
easat-8312	8	23	cold	cold	ADJ
easat-8312	8	24	and	and	CCONJ
easat-8312	8	25	harsh	harsh	ADJ
easat-8312	8	26	climates	climate	NOUN
easat-8312	8	27	.	.	PUNCT
easat-8312	9	1	accurately	accurately	ADV
easat-8312	9	2	detecting	detect	VERB
easat-8312	9	3	icing	ice	VERB
easat-8312	9	4	conditions	condition	NOUN
easat-8312	9	5	is	be	AUX
easat-8312	9	6	essential	essential	ADJ
easat-8312	9	7	for	for	ADP
easat-8312	9	8	maintaining	maintain	VERB
easat-8312	9	9	optimal	optimal	ADJ
easat-8312	9	10	turbine	turbine	NOUN
easat-8312	9	11	performance	performance	NOUN
easat-8312	9	12	and	and	CCONJ
easat-8312	9	13	preventing	prevent	VERB
easat-8312	9	14	potential	potential	ADJ
easat-8312	9	15	mechanical	mechanical	ADJ
easat-8312	9	16	failures	failure	NOUN
easat-8312	9	17	.	.	PUNCT
easat-8312	10	1	however	however	ADV
easat-8312	10	2	,	,	PUNCT
easat-8312	10	3	conventional	conventional	ADJ
easat-8312	10	4	detection	detection	NOUN
easat-8312	10	5	methods	method	NOUN
easat-8312	10	6	often	often	ADV
easat-8312	10	7	face	face	VERB
easat-8312	10	8	limitations	limitation	NOUN
easat-8312	10	9	when	when	SCONJ
easat-8312	10	10	processing	processing	NOUN
easat-8312	10	11	complex	complex	ADJ
easat-8312	10	12	multivariate	multivariate	NOUN
easat-8312	10	13	time	time	NOUN
easat-8312	10	14	-	-	PUNCT
easat-8312	10	15	series	series	NOUN
easat-8312	10	16	data	datum	NOUN
easat-8312	10	17	collected	collect	VERB
easat-8312	10	18	from	from	ADP
easat-8312	10	19	supervisory	supervisory	ADJ
easat-8312	10	20	control	control	NOUN
easat-8312	10	21	and	and	CCONJ
easat-8312	10	22	data	datum	NOUN
easat-8312	10	23	acquisition	acquisition	NOUN
easat-8312	10	24	(	(	PUNCT
easat-8312	10	25	scada	scada	PROPN
easat-8312	10	26	)	)	PUNCT
easat-8312	10	27	systems	system	NOUN
easat-8312	10	28	.	.	PUNCT
easat-8312	11	1	in	in	ADP
easat-8312	11	2	this	this	DET
easat-8312	11	3	study	study	NOUN
easat-8312	11	4	,	,	PUNCT
easat-8312	11	5	we	we	PRON
easat-8312	11	6	propose	propose	VERB
easat-8312	11	7	a	a	DET
easat-8312	11	8	novel	novel	ADJ
easat-8312	11	9	hybrid	hybrid	ADJ
easat-8312	11	10	deep	deep	ADJ
easat-8312	11	11	learning	learning	NOUN
easat-8312	11	12	model	model	NOUN
easat-8312	11	13	,	,	PUNCT
easat-8312	11	14	cnn	cnn	PROPN
easat-8312	11	15	-	-	PUNCT
easat-8312	11	16	bigru	bigru	NOUN
easat-8312	11	17	-	-	PUNCT
easat-8312	11	18	tpa	tpa	NOUN
easat-8312	11	19	,	,	PUNCT
easat-8312	11	20	which	which	PRON
easat-8312	11	21	integrates	integrate	VERB
easat-8312	11	22	convolutional	convolutional	ADJ
easat-8312	11	23	neural	neural	ADJ
easat-8312	11	24	networks	network	NOUN
easat-8312	11	25	(	(	PUNCT
easat-8312	11	26	cnns	cnns	PROPN
easat-8312	11	27	)	)	PUNCT
easat-8312	11	28	for	for	ADP
easat-8312	11	29	spatial	spatial	ADJ
easat-8312	11	30	feature	feature	NOUN
easat-8312	11	31	extraction	extraction	NOUN
easat-8312	11	32	,	,	PUNCT
easat-8312	11	33	bidirectional	bidirectional	ADJ
easat-8312	11	34	gated	gate	VERB
easat-8312	11	35	recurrent	recurrent	ADJ
easat-8312	11	36	units	unit	NOUN
easat-8312	11	37	(	(	PUNCT
easat-8312	11	38	bigrus	bigrus	NOUN
easat-8312	11	39	)	)	PUNCT
easat-8312	11	40	for	for	ADP
easat-8312	11	41	temporal	temporal	ADJ
easat-8312	11	42	sequence	sequence	NOUN
easat-8312	11	43	modeling	modeling	NOUN
easat-8312	11	44	,	,	PUNCT
easat-8312	11	45	and	and	CCONJ
easat-8312	11	46	a	a	DET
easat-8312	11	47	temporal	temporal	ADJ
easat-8312	11	48	pattern	pattern	NOUN
easat-8312	11	49	attention	attention	NOUN
easat-8312	11	50	(	(	PUNCT
easat-8312	11	51	tpa	tpa	NOUN
easat-8312	11	52	)	)	PUNCT
easat-8312	11	53	mechanism	mechanism	NOUN
easat-8312	11	54	to	to	PART
easat-8312	11	55	highlight	highlight	VERB
easat-8312	11	56	critical	critical	ADJ
easat-8312	11	57	temporal	temporal	ADJ
easat-8312	11	58	features	feature	NOUN
easat-8312	11	59	.	.	PUNCT
easat-8312	12	1	the	the	DET
easat-8312	12	2	proposed	propose	VERB
easat-8312	12	3	model	model	NOUN
easat-8312	12	4	demonstrates	demonstrate	VERB
easat-8312	12	5	superior	superior	ADJ
easat-8312	12	6	performance	performance	NOUN
easat-8312	12	7	,	,	PUNCT
easat-8312	12	8	achieving	achieve	VERB
easat-8312	12	9	a	a	DET
easat-8312	12	10	recall	recall	NOUN
easat-8312	12	11	of	of	ADP
easat-8312	12	12	0.8896	0.8896	NUM
easat-8312	12	13	,	,	PUNCT
easat-8312	12	14	precision	precision	NOUN
easat-8312	12	15	of	of	ADP
easat-8312	12	16	0.8904	0.8904	NUM
easat-8312	12	17	,	,	PUNCT
easat-8312	12	18	f1	f1	NOUN
easat-8312	12	19	score	score	NOUN
easat-8312	12	20	of	of	ADP
easat-8312	12	21	0.8900	0.8900	NUM
easat-8312	12	22	,	,	PUNCT
easat-8312	12	23	and	and	CCONJ
easat-8312	12	24	matthews	matthews	PROPN
easat-8312	12	25	correlation	correlation	NOUN
easat-8312	12	26	coefficient	coefficient	NOUN
easat-8312	12	27	(	(	PUNCT
easat-8312	12	28	mcc	mcc	NOUN
easat-8312	12	29	)	)	PUNCT
easat-8312	12	30	of	of	ADP
easat-8312	12	31	0.7800	0.7800	NUM
easat-8312	12	32	.	.	PUNCT
easat-8312	13	1	these	these	DET
easat-8312	13	2	results	result	NOUN
easat-8312	13	3	indicate	indicate	VERB
easat-8312	13	4	its	its	PRON
easat-8312	13	5	strong	strong	ADJ
easat-8312	13	6	capability	capability	NOUN
easat-8312	13	7	in	in	ADP
easat-8312	13	8	accurately	accurately	ADV
easat-8312	13	9	identifying	identify	VERB
easat-8312	13	10	icing	ice	VERB
easat-8312	13	11	events	event	NOUN
easat-8312	13	12	from	from	ADP
easat-8312	13	13	complex	complex	ADJ
easat-8312	13	14	scada	scada	PROPN
easat-8312	13	15	datasets	dataset	NOUN
easat-8312	13	16	.	.	PUNCT
easat-8312	14	1	this	this	DET
easat-8312	14	2	research	research	NOUN
easat-8312	14	3	provides	provide	VERB
easat-8312	14	4	a	a	DET
easat-8312	14	5	robust	robust	ADJ
easat-8312	14	6	and	and	CCONJ
easat-8312	14	7	scalable	scalable	ADJ
easat-8312	14	8	solution	solution	NOUN
easat-8312	14	9	for	for	ADP
easat-8312	14	10	realtime	realtime	NOUN
easat-8312	14	11	wind	wind	NOUN
easat-8312	14	12	turbine	turbine	NOUN
easat-8312	14	13	monitoring	monitoring	NOUN
easat-8312	14	14	and	and	CCONJ
easat-8312	14	15	offers	offer	VERB
easat-8312	14	16	valuable	valuable	ADJ
easat-8312	14	17	insights	insight	NOUN
easat-8312	14	18	for	for	ADP
easat-8312	14	19	future	future	ADJ
easat-8312	14	20	applications	application	NOUN
easat-8312	14	21	in	in	ADP
easat-8312	14	22	industrial	industrial	ADJ
easat-8312	14	23	big	big	ADJ
easat-8312	14	24	data	datum	NOUN
easat-8312	14	25	analytics	analytic	NOUN
easat-8312	14	26	.	.	PUNCT
easat-8312	15	1	keywords	keyword	NOUN
easat-8312	15	2	:	:	PUNCT
easat-8312	15	3	bidirectional	bidirectional	ADJ
easat-8312	15	4	gated	gate	VERB
easat-8312	15	5	recurrent	recurrent	ADJ
easat-8312	15	6	units	unit	NOUN
easat-8312	15	7	,	,	PUNCT
easat-8312	15	8	cnn	cnn	PROPN
easat-8312	15	9	-	-	PUNCT
easat-8312	15	10	bigru	bigru	PROPN
easat-8312	15	11	-	-	PUNCT
easat-8312	15	12	tpa	tpa	NOUN
easat-8312	15	13	model	model	NOUN
easat-8312	15	14	,	,	PUNCT
easat-8312	15	15	convolutional	convolutional	ADJ
easat-8312	15	16	neural	neural	ADJ
easat-8312	15	17	networks	network	NOUN
easat-8312	15	18	,	,	PUNCT
easat-8312	15	19	data	datum	NOUN
easat-8312	15	20	analysis	analysis	NOUN
easat-8312	15	21	,	,	PUNCT
easat-8312	15	22	scada	scada	PROPN
easat-8312	15	23	data	data	PROPN
easat-8312	15	24	,	,	PUNCT
easat-8312	15	25	temporal	temporal	ADJ
easat-8312	15	26	attention	attention	NOUN
easat-8312	15	27	mechanism	mechanism	NOUN
easat-8312	15	28	,	,	PUNCT
easat-8312	15	29	wind	wind	NOUN
easat-8312	15	30	turbine	turbine	NOUN
easat-8312	15	31	blade	blade	NOUN
easat-8312	15	32	icing	icing	NOUN
easat-8312	15	33	.	.	PUNCT
easat-8312	16	1	1	1	X
easat-8312	16	2	.	.	X
easat-8312	16	3	introduction	introduction	NOUN
easat-8312	16	4	wind	wind	NOUN
easat-8312	16	5	power	power	NOUN
easat-8312	16	6	,	,	PUNCT
easat-8312	16	7	as	as	ADP
easat-8312	16	8	a	a	DET
easat-8312	16	9	clean	clean	ADJ
easat-8312	16	10	and	and	CCONJ
easat-8312	16	11	renewable	renewable	ADJ
easat-8312	16	12	energy	energy	NOUN
easat-8312	16	13	source	source	NOUN
easat-8312	16	14	,	,	PUNCT
easat-8312	16	15	has	have	AUX
easat-8312	16	16	seen	see	VERB
easat-8312	16	17	widespread	widespread	ADJ
easat-8312	16	18	adoption	adoption	NOUN
easat-8312	16	19	in	in	ADP
easat-8312	16	20	recent	recent	ADJ
easat-8312	16	21	years	year	NOUN
easat-8312	16	22	.	.	PUNCT
easat-8312	17	1	it	it	PRON
easat-8312	17	2	is	be	AUX
easat-8312	17	3	progressively	progressively	ADV
easat-8312	17	4	replacing	replace	VERB
easat-8312	17	5	fossil	fossil	ADJ
easat-8312	17	6	fuels	fuel	NOUN
easat-8312	17	7	and	and	CCONJ
easat-8312	17	8	emerging	emerge	VERB
easat-8312	17	9	as	as	ADP
easat-8312	17	10	a	a	DET
easat-8312	17	11	crucial	crucial	ADJ
easat-8312	17	12	force	force	NOUN
easat-8312	17	13	in	in	ADP
easat-8312	17	14	advancing	advance	VERB
easat-8312	17	15	carbon	carbon	NOUN
easat-8312	17	16	peak	peak	NOUN
easat-8312	17	17	and	and	CCONJ
easat-8312	17	18	carbon	carbon	NOUN
easat-8312	17	19	neutrality	neutrality	NOUN
easat-8312	17	20	goals	goal	NOUN
easat-8312	17	21	[	[	X
easat-8312	17	22	1	1	NUM
easat-8312	17	23	]	]	PUNCT
easat-8312	17	24	.	.	PUNCT
easat-8312	18	1	in	in	ADP
easat-8312	18	2	china	china	PROPN
easat-8312	18	3	,	,	PUNCT
easat-8312	18	4	with	with	ADP
easat-8312	18	5	its	its	PRON
easat-8312	18	6	vast	vast	ADJ
easat-8312	18	7	territory	territory	NOUN
easat-8312	18	8	and	and	CCONJ
easat-8312	18	9	varied	varied	ADJ
easat-8312	18	10	terrain	terrain	NOUN
easat-8312	18	11	,	,	PUNCT
easat-8312	18	12	wind	wind	NOUN
easat-8312	18	13	energy	energy	NOUN
easat-8312	18	14	resources	resource	NOUN
easat-8312	18	15	are	be	AUX
easat-8312	18	16	abundant	abundant	ADJ
easat-8312	18	17	,	,	PUNCT
easat-8312	18	18	particularly	particularly	ADV
easat-8312	18	19	in	in	ADP
easat-8312	18	20	high	high	ADJ
easat-8312	18	21	-	-	PUNCT
easat-8312	18	22	altitude	altitude	NOUN
easat-8312	18	23	mountainous	mountainous	ADJ
easat-8312	18	24	regions	region	NOUN
easat-8312	18	25	and	and	CCONJ
easat-8312	18	26	areas	area	NOUN
easat-8312	18	27	near	near	ADP
easat-8312	18	28	lakes	lake	NOUN
easat-8312	18	29	in	in	ADP
easat-8312	18	30	the	the	DET
easat-8312	18	31	south	south	NOUN
easat-8312	18	32	.	.	PUNCT
easat-8312	19	1	however	however	ADV
easat-8312	19	2	,	,	PUNCT
easat-8312	19	3	these	these	DET
easat-8312	19	4	regions	region	NOUN
easat-8312	19	5	often	often	ADV
easat-8312	19	6	experience	experience	VERB
easat-8312	19	7	cold	cold	ADJ
easat-8312	19	8	temperatures	temperature	NOUN
easat-8312	19	9	and	and	CCONJ
easat-8312	19	10	high	high	ADJ
easat-8312	19	11	humidity	humidity	NOUN
easat-8312	19	12	during	during	ADP
easat-8312	19	13	winter	winter	NOUN
easat-8312	19	14	,	,	PUNCT
easat-8312	19	15	leading	lead	VERB
easat-8312	19	16	to	to	ADP
easat-8312	19	17	frequent	frequent	ADJ
easat-8312	19	18	low	low	ADJ
easat-8312	19	19	temperatures	temperature	NOUN
easat-8312	19	20	and	and	CCONJ
easat-8312	19	21	freezing	freeze	VERB
easat-8312	19	22	conditions	condition	NOUN
easat-8312	19	23	that	that	PRON
easat-8312	19	24	can	can	AUX
easat-8312	19	25	cause	cause	VERB
easat-8312	19	26	wind	wind	NOUN
easat-8312	19	27	turbine	turbine	NOUN
easat-8312	19	28	blades	blade	NOUN
easat-8312	19	29	to	to	PART
easat-8312	19	30	ice	ice	VERB
easat-8312	19	31	over	over	ADP
easat-8312	19	32	.	.	PUNCT
easat-8312	20	1	blade	blade	NOUN
easat-8312	20	2	icing	ice	VERB
easat-8312	20	3	not	not	PART
easat-8312	20	4	only	only	ADV
easat-8312	20	5	reduces	reduce	VERB
easat-8312	20	6	the	the	DET
easat-8312	20	7	efficiency	efficiency	NOUN
easat-8312	20	8	of	of	ADP
easat-8312	20	9	power	power	NOUN
easat-8312	20	10	generation	generation	NOUN
easat-8312	20	11	but	but	CCONJ
easat-8312	20	12	also	also	ADV
easat-8312	20	13	increases	increase	VERB
easat-8312	20	14	the	the	DET
easat-8312	20	15	mechanical	mechanical	ADJ
easat-8312	20	16	load	load	NOUN
easat-8312	20	17	on	on	ADP
easat-8312	20	18	the	the	DET
easat-8312	20	19	blades	blade	NOUN
easat-8312	20	20	,	,	PUNCT
easat-8312	20	21	potentially	potentially	ADV
easat-8312	20	22	resulting	result	VERB
easat-8312	20	23	in	in	ADP
easat-8312	20	24	serious	serious	ADJ
easat-8312	20	25	safety	safety	NOUN
easat-8312	20	26	hazards	hazard	NOUN
easat-8312	20	27	such	such	ADJ
easat-8312	20	28	as	as	ADP
easat-8312	20	29	blade	blade	NOUN
easat-8312	20	30	breakage	breakage	NOUN
easat-8312	20	31	or	or	CCONJ
easat-8312	20	32	turbine	turbine	NOUN
easat-8312	20	33	failure	failure	NOUN
easat-8312	20	34	.	.	PUNCT
easat-8312	21	1	therefore	therefore	ADV
easat-8312	21	2	,	,	PUNCT
easat-8312	21	3	the	the	DET
easat-8312	21	4	development	development	NOUN
easat-8312	21	5	of	of	ADP
easat-8312	21	6	reliable	reliable	ADJ
easat-8312	21	7	ice	ice	NOUN
easat-8312	21	8	detection	detection	NOUN
easat-8312	21	9	methods	method	NOUN
easat-8312	21	10	is	be	AUX
easat-8312	21	11	essential	essential	ADJ
easat-8312	21	12	to	to	PART
easat-8312	21	13	ensure	ensure	VERB
easat-8312	21	14	the	the	DET
easat-8312	21	15	safe	safe	ADJ
easat-8312	21	16	and	and	CCONJ
easat-8312	21	17	efficient	efficient	ADJ
easat-8312	21	18	operation	operation	NOUN
easat-8312	21	19	of	of	ADP
easat-8312	21	20	wind	wind	NOUN
easat-8312	21	21	turbines	turbine	NOUN
easat-8312	21	22	.	.	PUNCT
easat-8312	22	1	at	at	ADP
easat-8312	22	2	present	present	ADJ
easat-8312	22	3	,	,	PUNCT
easat-8312	22	4	the	the	DET
easat-8312	22	5	diagnosis	diagnosis	NOUN
easat-8312	22	6	of	of	ADP
easat-8312	22	7	wind	wind	NOUN
easat-8312	22	8	turbine	turbine	NOUN
easat-8312	22	9	blade	blade	NOUN
easat-8312	22	10	icing	ice	VERB
easat-8312	22	11	fault	fault	NOUN
easat-8312	22	12	mainly	mainly	ADV
easat-8312	22	13	relies	rely	VERB
easat-8312	22	14	on	on	ADP
easat-8312	22	15	non	non	ADJ
easat-8312	22	16	-	-	ADJ
easat-8312	22	17	destructive	destructive	ADJ
easat-8312	22	18	testing	testing	NOUN
easat-8312	22	19	technology	technology	NOUN
easat-8312	22	20	,	,	PUNCT
easat-8312	22	21	including	include	VERB
easat-8312	22	22	blade	blade	NOUN
easat-8312	22	23	icing	ice	VERB
easat-8312	22	24	detection	detection	NOUN
easat-8312	22	25	system	system	NOUN
easat-8312	22	26	[	[	X
easat-8312	22	27	2	2	NUM
easat-8312	22	28	,	,	PUNCT
easat-8312	22	29	3	3	NUM
easat-8312	22	30	]	]	X
easat-8312	22	31	data	datum	NOUN
easat-8312	22	32	mining	mining	NOUN
easat-8312	22	33	method	method	NOUN
easat-8312	22	34	[	[	X
easat-8312	22	35	4	4	NUM
easat-8312	22	36	]	]	X
easat-8312	22	37	acoustic	acoustic	ADJ
easat-8312	22	38	emission	emission	NOUN
easat-8312	22	39	detection	detection	NOUN
easat-8312	22	40	[	[	X
easat-8312	22	41	5	5	NUM
easat-8312	22	42	]	]	PUNCT
easat-8312	22	43	vibration	vibration	NOUN
easat-8312	22	44	mode	mode	NOUN
easat-8312	22	45	recognition	recognition	NOUN
easat-8312	22	46	detection	detection	NOUN
easat-8312	23	1	[	[	X
easat-8312	23	2	6	6	NUM
easat-8312	23	3	]	]	X
easat-8312	23	4	infrared	infrared	ADJ
easat-8312	23	5	optical	optical	ADJ
easat-8312	23	6	image	image	NOUN
easat-8312	23	7	processing	processing	NOUN
easat-8312	23	8	[	[	X
easat-8312	23	9	7	7	NUM
easat-8312	23	10	]	]	PUNCT
easat-8312	23	11	and	and	CCONJ
easat-8312	23	12	unmanned	unmanned	ADJ
easat-8312	23	13	aerial	aerial	ADJ
easat-8312	23	14	vehicle	vehicle	NOUN
easat-8312	23	15	detection	detection	NOUN
easat-8312	23	16	[	[	X
easat-8312	23	17	8	8	NUM
easat-8312	23	18	]	]	PUNCT
easat-8312	23	19	.	.	PUNCT
easat-8312	24	1	among	among	ADP
easat-8312	24	2	them	they	PRON
easat-8312	24	3	,	,	PUNCT
easat-8312	24	4	damage	damage	NOUN
easat-8312	24	5	identification	identification	NOUN
easat-8312	24	6	technologies	technology	NOUN
easat-8312	24	7	such	such	ADJ
easat-8312	24	8	as	as	ADP
easat-8312	24	9	ultrasonic	ultrasonic	ADJ
easat-8312	24	10	[	[	X
easat-8312	24	11	9	9	NUM
easat-8312	24	12	]	]	PUNCT
easat-8312	24	13	and	and	CCONJ
easat-8312	24	14	fiber	fiber	NOUN
easat-8312	24	15	grating	grate	VERB
easat-8312	25	1	[	[	X
easat-8312	25	2	10	10	NUM
easat-8312	25	3	]	]	PUNCT
easat-8312	25	4	are	be	AUX
easat-8312	25	5	also	also	ADV
easat-8312	25	6	applied	apply	VERB
easat-8312	25	7	in	in	ADP
easat-8312	25	8	the	the	DET
easat-8312	25	9	inspection	inspection	NOUN
easat-8312	25	10	of	of	ADP
easat-8312	25	11	wind	wind	NOUN
easat-8312	25	12	turbine	turbine	NOUN
easat-8312	25	13	blades	blade	NOUN
easat-8312	25	14	.	.	PUNCT
easat-8312	26	1	acoustic	acoustic	ADJ
easat-8312	26	2	emission	emission	NOUN
easat-8312	26	3	and	and	CCONJ
easat-8312	26	4	vibration	vibration	NOUN
easat-8312	26	5	detection	detection	NOUN
easat-8312	26	6	technologies	technology	NOUN
easat-8312	26	7	often	often	ADV
easat-8312	26	8	require	require	VERB
easat-8312	26	9	sensors	sensor	NOUN
easat-8312	26	10	to	to	PART
easat-8312	26	11	be	be	AUX
easat-8312	26	12	installed	instal	VERB
easat-8312	26	13	on	on	ADP
easat-8312	26	14	the	the	DET
easat-8312	26	15	blades	blade	NOUN
easat-8312	26	16	,	,	PUNCT
easat-8312	26	17	which	which	PRON
easat-8312	26	18	https://orcid.org/0009-0007-8328-6778	https://orcid.org/0009-0007-8328-6778	VERB
easat-8312	26	19	https://orcid.org/0009-0001-4891-9206	https://orcid.org/0009-0001-4891-9206	PROPN
easat-8312	26	20	https://orcid.org/0009-0006-0837-6645	https://orcid.org/0009-0006-0837-6645	PROPN
easat-8312	26	21	https://orcid.org/0000-0003-3649-4877	https://orcid.org/0000-0003-3649-4877	PROPN
easat-8312	26	22	2036	2036	NUM
easat-8312	26	23	edelweiss	edelweiss	PROPN
easat-8312	26	24	applied	apply	VERB
easat-8312	26	25	science	science	NOUN
easat-8312	26	26	and	and	CCONJ
easat-8312	26	27	technology	technology	NOUN
easat-8312	26	28	issn	issn	PROPN
easat-8312	26	29	:	:	PUNCT
easat-8312	26	30	2576	2576	NUM
easat-8312	26	31	-	-	SYM
easat-8312	26	32	8484	8484	NUM
easat-8312	26	33	vol	vol	NOUN
easat-8312	26	34	.	.	PROPN
easat-8312	27	1	9	9	NUM
easat-8312	27	2	,	,	PUNCT
easat-8312	27	3	no	no	INTJ
easat-8312	27	4	.	.	NOUN
easat-8312	27	5	6	6	NUM
easat-8312	27	6	:	:	SYM
easat-8312	27	7	2035	2035	NUM
easat-8312	27	8	-	-	SYM
easat-8312	27	9	2054	2054	NUM
easat-8312	27	10	,	,	PUNCT
easat-8312	27	11	2025	2025	NUM
easat-8312	27	12	doi	doi	NOUN
easat-8312	27	13	:	:	PUNCT
easat-8312	27	14	10.55214/25768484.v9i6.8312	10.55214/25768484.v9i6.8312	PROPN
easat-8312	27	15	©	©	PROPN
easat-8312	27	16	2025	2025	NUM
easat-8312	27	17	by	by	ADP
easat-8312	27	18	the	the	DET
easat-8312	27	19	authors	author	NOUN
easat-8312	27	20	;	;	PUNCT
easat-8312	27	21	licensee	licensee	PROPN
easat-8312	27	22	learning	learning	NOUN
easat-8312	27	23	gate	gate	NOUN
easat-8312	27	24	is	be	AUX
easat-8312	27	25	not	not	PART
easat-8312	27	26	only	only	ADV
easat-8312	27	27	costly	costly	ADJ
easat-8312	27	28	,	,	PUNCT
easat-8312	27	29	but	but	CCONJ
easat-8312	27	30	can	can	AUX
easat-8312	27	31	also	also	ADV
easat-8312	27	32	affect	affect	VERB
easat-8312	27	33	the	the	DET
easat-8312	27	34	dynamics	dynamic	NOUN
easat-8312	27	35	of	of	ADP
easat-8312	27	36	the	the	DET
easat-8312	27	37	blades	blade	NOUN
easat-8312	27	38	.	.	PUNCT
easat-8312	28	1	drone	drone	NOUN
easat-8312	28	2	detection	detection	NOUN
easat-8312	28	3	faces	face	VERB
easat-8312	28	4	the	the	DET
easat-8312	28	5	problems	problem	NOUN
easat-8312	28	6	of	of	ADP
easat-8312	28	7	downtime	downtime	NOUN
easat-8312	28	8	operation	operation	NOUN
easat-8312	28	9	,	,	PUNCT
easat-8312	28	10	short	short	ADJ
easat-8312	28	11	battery	battery	NOUN
easat-8312	28	12	life	life	NOUN
easat-8312	28	13	and	and	CCONJ
easat-8312	28	14	environmental	environmental	ADJ
easat-8312	28	15	factors	factor	NOUN
easat-8312	28	16	.	.	PUNCT
easat-8312	29	1	hyper	hyper	ADJ
easat-8312	29	2	spectral	spectral	ADJ
easat-8312	29	3	imaging	imaging	NOUN
easat-8312	29	4	[	[	X
easat-8312	29	5	11	11	NUM
easat-8312	29	6	]	]	PUNCT
easat-8312	29	7	and	and	CCONJ
easat-8312	29	8	infrared	infrared	ADJ
easat-8312	29	9	cameras	camera	NOUN
easat-8312	29	10	[	[	X
easat-8312	29	11	12	12	NUM
easat-8312	29	12	]	]	PUNCT
easat-8312	29	13	can	can	AUX
easat-8312	29	14	quickly	quickly	ADV
easat-8312	29	15	and	and	CCONJ
easat-8312	29	16	accurately	accurately	ADV
easat-8312	29	17	identify	identify	VERB
easat-8312	29	18	the	the	DET
easat-8312	29	19	icing	ice	VERB
easat-8312	29	20	state	state	NOUN
easat-8312	29	21	of	of	ADP
easat-8312	29	22	leaves	leave	NOUN
easat-8312	29	23	through	through	ADP
easat-8312	29	24	image	image	NOUN
easat-8312	29	25	processing	processing	NOUN
easat-8312	29	26	,	,	PUNCT
easat-8312	29	27	but	but	CCONJ
easat-8312	29	28	the	the	DET
easat-8312	29	29	effectiveness	effectiveness	NOUN
easat-8312	29	30	of	of	ADP
easat-8312	29	31	these	these	DET
easat-8312	29	32	methods	method	NOUN
easat-8312	29	33	may	may	AUX
easat-8312	29	34	be	be	AUX
easat-8312	29	35	limited	limit	VERB
easat-8312	29	36	in	in	ADP
easat-8312	29	37	adverse	adverse	ADJ
easat-8312	29	38	weather	weather	NOUN
easat-8312	29	39	conditions	condition	NOUN
easat-8312	29	40	.	.	PUNCT
easat-8312	30	1	the	the	DET
easat-8312	30	2	data	data	NOUN
easat-8312	30	3	mining	mining	NOUN
easat-8312	30	4	method	method	NOUN
easat-8312	30	5	[	[	X
easat-8312	30	6	13	13	NUM
easat-8312	30	7	]	]	PUNCT
easat-8312	30	8	performs	perform	VERB
easat-8312	30	9	well	well	ADV
easat-8312	30	10	in	in	ADP
easat-8312	30	11	accurately	accurately	ADV
easat-8312	30	12	identifying	identify	VERB
easat-8312	30	13	the	the	DET
easat-8312	30	14	icing	ice	VERB
easat-8312	30	15	state	state	NOUN
easat-8312	30	16	of	of	ADP
easat-8312	30	17	leaves	leave	NOUN
easat-8312	30	18	,	,	PUNCT
easat-8312	30	19	but	but	CCONJ
easat-8312	30	20	it	it	PRON
easat-8312	30	21	has	have	VERB
easat-8312	30	22	high	high	ADJ
easat-8312	30	23	requirements	requirement	NOUN
easat-8312	30	24	for	for	ADP
easat-8312	30	25	feature	feature	NOUN
easat-8312	30	26	screening	screening	NOUN
easat-8312	30	27	,	,	PUNCT
easat-8312	30	28	and	and	CCONJ
easat-8312	30	29	the	the	DET
easat-8312	30	30	accuracy	accuracy	NOUN
easat-8312	30	31	of	of	ADP
easat-8312	30	32	the	the	DET
easat-8312	30	33	overall	overall	ADJ
easat-8312	30	34	algorithm	algorithm	NOUN
easat-8312	30	35	may	may	AUX
easat-8312	30	36	be	be	AUX
easat-8312	30	37	affected	affect	VERB
easat-8312	30	38	if	if	SCONJ
easat-8312	30	39	the	the	DET
easat-8312	30	40	feature	feature	NOUN
easat-8312	30	41	screening	screen	VERB
easat-8312	30	42	is	be	AUX
easat-8312	30	43	improper	improper	ADJ
easat-8312	30	44	.	.	PUNCT
easat-8312	31	1	as	as	ADP
easat-8312	31	2	the	the	DET
easat-8312	31	3	most	most	ADV
easat-8312	31	4	widely	widely	ADV
easat-8312	31	5	used	use	VERB
easat-8312	31	6	and	and	CCONJ
easat-8312	31	7	mature	mature	ADJ
easat-8312	31	8	data	datum	NOUN
easat-8312	31	9	acquisition	acquisition	NOUN
easat-8312	31	10	and	and	CCONJ
easat-8312	31	11	monitoring	monitoring	NOUN
easat-8312	31	12	system	system	NOUN
easat-8312	31	13	(	(	PUNCT
easat-8312	31	14	scada	scada	PROPN
easat-8312	31	15	)	)	PUNCT
easat-8312	31	16	,	,	PUNCT
easat-8312	31	17	the	the	DET
easat-8312	31	18	scada	scada	PROPN
easat-8312	31	19	system	system	NOUN
easat-8312	31	20	can	can	AUX
easat-8312	31	21	provide	provide	VERB
easat-8312	31	22	rich	rich	ADJ
easat-8312	31	23	information	information	NOUN
easat-8312	31	24	about	about	ADP
easat-8312	31	25	the	the	DET
easat-8312	31	26	operating	operate	VERB
easat-8312	31	27	status	status	NOUN
easat-8312	31	28	of	of	ADP
easat-8312	31	29	wind	wind	NOUN
easat-8312	31	30	turbines	turbine	NOUN
easat-8312	31	31	without	without	ADP
easat-8312	31	32	installing	instal	VERB
easat-8312	31	33	additional	additional	ADJ
easat-8312	31	34	sensors	sensor	NOUN
easat-8312	31	35	,	,	PUNCT
easat-8312	31	36	thereby	thereby	ADV
easat-8312	31	37	reducing	reduce	VERB
easat-8312	31	38	monitoring	monitoring	NOUN
easat-8312	31	39	and	and	CCONJ
easat-8312	31	40	maintenance	maintenance	NOUN
easat-8312	31	41	costs	cost	NOUN
easat-8312	31	42	,	,	PUNCT
easat-8312	31	43	so	so	SCONJ
easat-8312	31	44	it	it	PRON
easat-8312	31	45	has	have	AUX
easat-8312	31	46	been	be	AUX
easat-8312	31	47	widely	widely	ADV
easat-8312	31	48	used	use	VERB
easat-8312	31	49	in	in	ADP
easat-8312	31	50	wind	wind	NOUN
easat-8312	31	51	power	power	NOUN
easat-8312	31	52	equipment	equipment	NOUN
easat-8312	31	53	[	[	X
easat-8312	31	54	14	14	NUM
easat-8312	31	55	]	]	PUNCT
easat-8312	31	56	.	.	PUNCT
easat-8312	32	1	machine	machine	NOUN
easat-8312	32	2	learning	learning	NOUN
easat-8312	32	3	and	and	CCONJ
easat-8312	32	4	deep	deep	ADJ
easat-8312	32	5	learning	learning	NOUN
easat-8312	32	6	technologies	technology	NOUN
easat-8312	32	7	are	be	AUX
easat-8312	32	8	often	often	ADV
easat-8312	32	9	used	use	VERB
easat-8312	32	10	in	in	ADP
easat-8312	32	11	the	the	DET
easat-8312	32	12	method	method	NOUN
easat-8312	32	13	of	of	ADP
easat-8312	32	14	calculating	calculate	VERB
easat-8312	32	15	the	the	DET
easat-8312	32	16	icing	icing	NOUN
easat-8312	32	17	of	of	ADP
easat-8312	32	18	wind	wind	NOUN
easat-8312	32	19	turbine	turbine	NOUN
easat-8312	32	20	blades	blade	NOUN
easat-8312	32	21	based	base	VERB
easat-8312	32	22	on	on	ADP
easat-8312	32	23	scada	scada	PROPN
easat-8312	32	24	data	data	PROPN
easat-8312	32	25	,	,	PUNCT
easat-8312	32	26	and	and	CCONJ
easat-8312	32	27	the	the	DET
easat-8312	32	28	rapid	rapid	ADJ
easat-8312	32	29	development	development	NOUN
easat-8312	32	30	of	of	ADP
easat-8312	32	31	these	these	DET
easat-8312	32	32	technologies	technology	NOUN
easat-8312	32	33	has	have	AUX
easat-8312	32	34	significantly	significantly	ADV
easat-8312	32	35	promoted	promote	VERB
easat-8312	32	36	the	the	DET
easat-8312	32	37	research	research	NOUN
easat-8312	32	38	of	of	ADP
easat-8312	32	39	ice	ice	NOUN
easat-8312	32	40	detection	detection	NOUN
easat-8312	32	41	of	of	ADP
easat-8312	32	42	wind	wind	NOUN
easat-8312	32	43	turbine	turbine	NOUN
easat-8312	32	44	blades	blade	NOUN
easat-8312	32	45	.	.	PUNCT
easat-8312	33	1	machine	machine	NOUN
easat-8312	33	2	learning	learn	VERB
easat-8312	33	3	techniques	technique	NOUN
easat-8312	33	4	are	be	AUX
easat-8312	33	5	widely	widely	ADV
easat-8312	33	6	used	use	VERB
easat-8312	33	7	in	in	ADP
easat-8312	33	8	conventional	conventional	ADJ
easat-8312	33	9	wind	wind	NOUN
easat-8312	33	10	turbine	turbine	NOUN
easat-8312	33	11	blade	blade	NOUN
easat-8312	33	12	icing	ice	VERB
easat-8312	33	13	fault	fault	NOUN
easat-8312	33	14	detection	detection	NOUN
easat-8312	33	15	.	.	PUNCT
easat-8312	34	1	kreutz	kreutz	PROPN
easat-8312	35	1	[	[	X
easat-8312	35	2	15	15	NUM
easat-8312	35	3	]	]	PUNCT
easat-8312	35	4	proposed	propose	VERB
easat-8312	35	5	a	a	DET
easat-8312	35	6	convolutional	convolutional	ADJ
easat-8312	35	7	neural	neural	ADJ
easat-8312	35	8	network	network	NOUN
easat-8312	35	9	(	(	PUNCT
easat-8312	35	10	cnn	cnn	PROPN
easat-8312	35	11	)	)	PUNCT
easat-8312	35	12	model	model	NOUN
easat-8312	35	13	with	with	ADP
easat-8312	35	14	dual	dual	ADJ
easat-8312	35	15	inputs	input	NOUN
easat-8312	35	16	and	and	CCONJ
easat-8312	35	17	a	a	DET
easat-8312	35	18	one	one	NUM
easat-8312	35	19	-	-	PUNCT
easat-8312	35	20	dimensional	dimensional	ADJ
easat-8312	35	21	convolutional	convolutional	ADJ
easat-8312	35	22	filter	filter	NOUN
easat-8312	35	23	to	to	PART
easat-8312	35	24	effectively	effectively	ADV
easat-8312	35	25	identify	identify	VERB
easat-8312	35	26	blade	blade	NOUN
easat-8312	35	27	icing	ice	VERB
easat-8312	35	28	by	by	ADP
easat-8312	35	29	utilizing	utilize	VERB
easat-8312	35	30	historical	historical	ADJ
easat-8312	35	31	turbine	turbine	NOUN
easat-8312	35	32	data	datum	NOUN
easat-8312	35	33	and	and	CCONJ
easat-8312	35	34	weather	weather	NOUN
easat-8312	35	35	forecasts	forecast	NOUN
easat-8312	35	36	.	.	PUNCT
easat-8312	36	1	yang	yang	PROPN
easat-8312	36	2	,	,	PUNCT
easat-8312	36	3	et	et	PROPN
easat-8312	36	4	al	al	PROPN
easat-8312	36	5	.	.	PUNCT
easat-8312	37	1	[	[	X
easat-8312	37	2	16	16	NUM
easat-8312	37	3	]	]	PUNCT
easat-8312	37	4	developed	develop	VERB
easat-8312	37	5	a	a	DET
easat-8312	37	6	method	method	NOUN
easat-8312	37	7	using	use	VERB
easat-8312	37	8	scada	scada	PROPN
easat-8312	37	9	data	data	PROPN
easat-8312	37	10	,	,	PUNCT
easat-8312	37	11	combining	combine	VERB
easat-8312	37	12	random	random	ADJ
easat-8312	37	13	forest	forest	NOUN
easat-8312	37	14	and	and	CCONJ
easat-8312	37	15	knn	knn	VERB
easat-8312	37	16	algorithms	algorithms	PROPN
easat-8312	37	17	to	to	PART
easat-8312	37	18	enhance	enhance	VERB
easat-8312	37	19	feature	feature	NOUN
easat-8312	37	20	selection	selection	NOUN
easat-8312	37	21	,	,	PUNCT
easat-8312	37	22	enhancing	enhance	VERB
easat-8312	37	23	the	the	DET
easat-8312	37	24	accuracy	accuracy	NOUN
easat-8312	37	25	of	of	ADP
easat-8312	37	26	wind	wind	NOUN
easat-8312	37	27	turbine	turbine	NOUN
easat-8312	37	28	blade	blade	NOUN
easat-8312	37	29	icing	ice	VERB
easat-8312	37	30	diagnosis	diagnosis	NOUN
easat-8312	37	31	.	.	PUNCT
easat-8312	38	1	this	this	DET
easat-8312	38	2	approach	approach	NOUN
easat-8312	38	3	showed	show	VERB
easat-8312	38	4	better	well	ADJ
easat-8312	38	5	performance	performance	NOUN
easat-8312	38	6	compared	compare	VERB
easat-8312	38	7	to	to	ADP
easat-8312	38	8	traditional	traditional	ADJ
easat-8312	38	9	bp	bp	PROPN
easat-8312	38	10	neural	neural	ADJ
easat-8312	38	11	networks	network	NOUN
easat-8312	38	12	,	,	PUNCT
easat-8312	38	13	contributing	contribute	VERB
easat-8312	38	14	to	to	PART
easat-8312	38	15	safer	safe	ADJ
easat-8312	38	16	and	and	CCONJ
easat-8312	38	17	more	more	ADV
easat-8312	38	18	reliable	reliable	ADJ
easat-8312	38	19	wind	wind	NOUN
easat-8312	38	20	turbine	turbine	NOUN
easat-8312	38	21	operation	operation	NOUN
easat-8312	38	22	in	in	ADP
easat-8312	38	23	cold	cold	ADJ
easat-8312	38	24	regions	region	NOUN
easat-8312	38	25	.	.	PUNCT
easat-8312	39	1	xu	xu	INTJ
easat-8312	39	2	,	,	PUNCT
easat-8312	39	3	et	et	PROPN
easat-8312	39	4	al	al	PROPN
easat-8312	39	5	.	.	PUNCT
easat-8312	40	1	[	[	X
easat-8312	40	2	17	17	NUM
easat-8312	40	3	]	]	PUNCT
easat-8312	40	4	introduced	introduce	VERB
easat-8312	40	5	a	a	DET
easat-8312	40	6	blade	blade	NOUN
easat-8312	40	7	icing	ice	VERB
easat-8312	40	8	prediction	prediction	NOUN
easat-8312	40	9	method	method	NOUN
easat-8312	40	10	using	use	VERB
easat-8312	40	11	a	a	DET
easat-8312	40	12	pso	pso	NOUN
easat-8312	40	13	-	-	PUNCT
easat-8312	40	14	optimized	optimize	VERB
easat-8312	40	15	svm	svm	PROPN
easat-8312	40	16	model	model	NOUN
easat-8312	40	17	.	.	PUNCT
easat-8312	41	1	by	by	ADP
easat-8312	41	2	enhancing	enhance	VERB
easat-8312	41	3	data	datum	NOUN
easat-8312	41	4	preprocessing	preprocessing	NOUN
easat-8312	41	5	and	and	CCONJ
easat-8312	41	6	feature	feature	NOUN
easat-8312	41	7	selection	selection	NOUN
easat-8312	41	8	,	,	PUNCT
easat-8312	41	9	the	the	DET
easat-8312	41	10	method	method	NOUN
easat-8312	41	11	improved	improve	VERB
easat-8312	41	12	prediction	prediction	NOUN
easat-8312	41	13	accuracy	accuracy	NOUN
easat-8312	41	14	,	,	PUNCT
easat-8312	41	15	offering	offer	VERB
easat-8312	41	16	an	an	DET
easat-8312	41	17	effective	effective	ADJ
easat-8312	41	18	solution	solution	NOUN
easat-8312	41	19	for	for	ADP
easat-8312	41	20	icing	ice	VERB
easat-8312	41	21	fault	fault	NOUN
easat-8312	41	22	detection	detection	NOUN
easat-8312	41	23	.	.	PUNCT
easat-8312	42	1	meng	meng	PROPN
easat-8312	42	2	,	,	PUNCT
easat-8312	42	3	et	et	PROPN
easat-8312	42	4	al	al	PROPN
easat-8312	42	5	.	.	PUNCT
easat-8312	43	1	[	[	X
easat-8312	43	2	18	18	NUM
easat-8312	43	3	]	]	PUNCT
easat-8312	43	4	applied	apply	VERB
easat-8312	43	5	a	a	DET
easat-8312	43	6	combination	combination	NOUN
easat-8312	43	7	of	of	ADP
easat-8312	43	8	recursive	recursive	ADJ
easat-8312	43	9	feature	feature	NOUN
easat-8312	43	10	elimination	elimination	NOUN
easat-8312	43	11	random	random	ADJ
easat-8312	43	12	forest	forest	NOUN
easat-8312	43	13	(	(	PUNCT
easat-8312	43	14	rfe	rfe	NOUN
easat-8312	43	15	-	-	PUNCT
easat-8312	43	16	rf	rf	NOUN
easat-8312	43	17	)	)	PUNCT
easat-8312	43	18	and	and	CCONJ
easat-8312	43	19	support	support	VERB
easat-8312	43	20	vector	vector	NOUN
easat-8312	43	21	machine	machine	NOUN
easat-8312	43	22	(	(	PUNCT
easat-8312	43	23	svm	svm	PROPN
easat-8312	43	24	)	)	PUNCT
easat-8312	43	25	for	for	ADP
easat-8312	43	26	icing	ice	VERB
easat-8312	43	27	monitoring	monitoring	NOUN
easat-8312	43	28	,	,	PUNCT
easat-8312	43	29	effectively	effectively	ADV
easat-8312	43	30	diagnosing	diagnose	VERB
easat-8312	43	31	faults	fault	NOUN
easat-8312	43	32	through	through	ADP
easat-8312	43	33	feature	feature	NOUN
easat-8312	43	34	selection	selection	NOUN
easat-8312	43	35	and	and	CCONJ
easat-8312	43	36	model	model	NOUN
easat-8312	43	37	fusion	fusion	NOUN
easat-8312	43	38	(	(	PUNCT
easat-8312	43	39	stacking	stacking	NOUN
easat-8312	43	40	)	)	PUNCT
easat-8312	43	41	.	.	PUNCT
easat-8312	44	1	tao	tao	PROPN
easat-8312	44	2	,	,	PUNCT
easat-8312	44	3	et	et	PROPN
easat-8312	44	4	al	al	PROPN
easat-8312	44	5	.	.	PUNCT
easat-8312	45	1	[	[	X
easat-8312	45	2	19	19	NUM
easat-8312	45	3	]	]	PUNCT
easat-8312	45	4	combined	combine	VERB
easat-8312	45	5	the	the	DET
easat-8312	45	6	physical	physical	ADJ
easat-8312	45	7	characteristics	characteristic	NOUN
easat-8312	45	8	of	of	ADP
easat-8312	45	9	icing	ice	VERB
easat-8312	45	10	with	with	ADP
easat-8312	45	11	the	the	DET
easat-8312	45	12	stacked	stack	VERB
easat-8312	45	13	-	-	PUNCT
easat-8312	45	14	xgboost	xgboost	NOUN
easat-8312	45	15	model	model	NOUN
easat-8312	45	16	to	to	PART
easat-8312	45	17	calculate	calculate	VERB
easat-8312	45	18	wind	wind	NOUN
easat-8312	45	19	turbine	turbine	NOUN
easat-8312	45	20	blade	blade	NOUN
easat-8312	45	21	icing	icing	NOUN
easat-8312	45	22	,	,	PUNCT
easat-8312	45	23	significantly	significantly	ADV
easat-8312	45	24	improving	improve	VERB
easat-8312	45	25	diagnostic	diagnostic	ADJ
easat-8312	45	26	accuracy	accuracy	NOUN
easat-8312	45	27	and	and	CCONJ
easat-8312	45	28	model	model	NOUN
easat-8312	45	29	generalization	generalization	NOUN
easat-8312	45	30	by	by	ADP
easat-8312	45	31	accounting	account	VERB
easat-8312	45	32	for	for	ADP
easat-8312	45	33	both	both	CCONJ
easat-8312	45	34	short	short	ADJ
easat-8312	45	35	-	-	PUNCT
easat-8312	45	36	term	term	NOUN
easat-8312	45	37	and	and	CCONJ
easat-8312	45	38	long	long	ADJ
easat-8312	45	39	-	-	PUNCT
easat-8312	45	40	term	term	NOUN
easat-8312	45	41	icing	icing	NOUN
easat-8312	45	42	effects	effect	NOUN
easat-8312	45	43	.	.	PUNCT
easat-8312	46	1	deep	deep	ADJ
easat-8312	46	2	learning	learning	NOUN
easat-8312	46	3	,	,	PUNCT
easat-8312	46	4	due	due	ADP
easat-8312	46	5	to	to	ADP
easat-8312	46	6	its	its	PRON
easat-8312	46	7	powerful	powerful	ADJ
easat-8312	46	8	ability	ability	NOUN
easat-8312	46	9	to	to	PART
easat-8312	46	10	handle	handle	VERB
easat-8312	46	11	complex	complex	ADJ
easat-8312	46	12	nonlinear	nonlinear	ADJ
easat-8312	46	13	problems	problem	NOUN
easat-8312	46	14	,	,	PUNCT
easat-8312	46	15	is	be	AUX
easat-8312	46	16	widely	widely	ADV
easat-8312	46	17	used	use	VERB
easat-8312	46	18	in	in	ADP
easat-8312	46	19	the	the	DET
easat-8312	46	20	prediction	prediction	NOUN
easat-8312	46	21	of	of	ADP
easat-8312	46	22	wind	wind	NOUN
easat-8312	46	23	turbine	turbine	NOUN
easat-8312	46	24	blade	blade	NOUN
easat-8312	46	25	icing	icing	NOUN
easat-8312	46	26	,	,	PUNCT
easat-8312	46	27	and	and	CCONJ
easat-8312	46	28	there	there	PRON
easat-8312	46	29	is	be	VERB
easat-8312	46	30	a	a	DET
easat-8312	46	31	tendency	tendency	NOUN
easat-8312	46	32	toward	toward	ADP
easat-8312	46	33	the	the	DET
easat-8312	46	34	combination	combination	NOUN
easat-8312	46	35	of	of	ADP
easat-8312	46	36	multiple	multiple	ADJ
easat-8312	46	37	models	model	NOUN
easat-8312	46	38	.	.	PUNCT
easat-8312	47	1	xiong	xiong	PROPN
easat-8312	48	1	[	[	X
easat-8312	48	2	20	20	NUM
easat-8312	48	3	]	]	PUNCT
easat-8312	48	4	based	base	VERB
easat-8312	48	5	on	on	ADP
easat-8312	48	6	the	the	DET
easat-8312	48	7	scada	scada	PROPN
easat-8312	48	8	monitoring	monitoring	PROPN
easat-8312	48	9	data	datum	NOUN
easat-8312	48	10	of	of	ADP
easat-8312	48	11	wind	wind	NOUN
easat-8312	48	12	farms	farm	NOUN
easat-8312	48	13	,	,	PUNCT
easat-8312	48	14	a	a	DET
easat-8312	48	15	short	short	ADJ
easat-8312	48	16	-	-	PUNCT
easat-8312	48	17	term	term	NOUN
easat-8312	48	18	icing	ice	VERB
easat-8312	48	19	state	state	NOUN
easat-8312	48	20	prediction	prediction	NOUN
easat-8312	48	21	model	model	NOUN
easat-8312	48	22	of	of	ADP
easat-8312	48	23	wind	wind	NOUN
easat-8312	48	24	turbine	turbine	NOUN
easat-8312	48	25	blades	blade	NOUN
easat-8312	48	26	combining	combine	VERB
easat-8312	48	27	bi	bi	NOUN
easat-8312	48	28	-	-	ADJ
easat-8312	48	29	lstm	lstm	ADJ
easat-8312	48	30	and	and	CCONJ
easat-8312	48	31	svm	svm	PROPN
easat-8312	48	32	was	be	AUX
easat-8312	48	33	proposed	propose	VERB
easat-8312	48	34	,	,	PUNCT
easat-8312	48	35	and	and	CCONJ
easat-8312	48	36	a	a	DET
easat-8312	48	37	high	high	ADJ
easat-8312	48	38	accuracy	accuracy	NOUN
easat-8312	48	39	was	be	AUX
easat-8312	48	40	achieved	achieve	VERB
easat-8312	48	41	through	through	ADP
easat-8312	48	42	pca	pca	NOUN
easat-8312	48	43	dimensionality	dimensionality	NOUN
easat-8312	48	44	reduction	reduction	NOUN
easat-8312	48	45	and	and	CCONJ
easat-8312	48	46	multi	multi	ADJ
easat-8312	48	47	-	-	ADJ
easat-8312	48	48	group	group	NOUN
easat-8312	48	49	data	datum	NOUN
easat-8312	48	50	training	training	NOUN
easat-8312	48	51	.	.	PUNCT
easat-8312	49	1	dazhong	dazhong	PROPN
easat-8312	50	1	[	[	X
easat-8312	50	2	21	21	NUM
easat-8312	50	3	]	]	PUNCT
easat-8312	50	4	presented	present	VERB
easat-8312	50	5	a	a	DET
easat-8312	50	6	deep	deep	ADJ
easat-8312	50	7	fully	fully	ADV
easat-8312	50	8	connected	connect	VERB
easat-8312	50	9	neural	neural	ADJ
easat-8312	50	10	network	network	NOUN
easat-8312	50	11	algorithm	algorithm	NOUN
easat-8312	50	12	based	base	VERB
easat-8312	50	13	on	on	ADP
easat-8312	50	14	deep	deep	ADJ
easat-8312	50	15	learning	learning	NOUN
easat-8312	50	16	optimization	optimization	NOUN
easat-8312	50	17	,	,	PUNCT
easat-8312	50	18	which	which	PRON
easat-8312	50	19	shows	show	VERB
easat-8312	50	20	higher	high	ADJ
easat-8312	50	21	prediction	prediction	NOUN
easat-8312	50	22	accuracy	accuracy	NOUN
easat-8312	50	23	and	and	CCONJ
easat-8312	50	24	computational	computational	ADJ
easat-8312	50	25	efficiency	efficiency	NOUN
easat-8312	50	26	in	in	ADP
easat-8312	50	27	the	the	DET
easat-8312	50	28	prediction	prediction	NOUN
easat-8312	50	29	of	of	ADP
easat-8312	50	30	icing	ice	VERB
easat-8312	50	31	state	state	NOUN
easat-8312	50	32	of	of	ADP
easat-8312	50	33	wind	wind	NOUN
easat-8312	50	34	turbine	turbine	NOUN
easat-8312	50	35	blades	blade	NOUN
easat-8312	50	36	compared	compare	VERB
easat-8312	50	37	with	with	ADP
easat-8312	50	38	the	the	DET
easat-8312	50	39	traditional	traditional	ADJ
easat-8312	50	40	knn	knn	PROPN
easat-8312	50	41	,	,	PUNCT
easat-8312	50	42	svm	svm	ADJ
easat-8312	50	43	and	and	CCONJ
easat-8312	50	44	unoptimized	unoptimized	ADJ
easat-8312	50	45	bp	bp	PROPN
easat-8312	50	46	neural	neural	ADJ
easat-8312	50	47	network	network	NOUN
easat-8312	50	48	methods	method	NOUN
easat-8312	50	49	.	.	PUNCT
easat-8312	51	1	tao	tao	PROPN
easat-8312	52	1	[	[	X
easat-8312	52	2	22	22	NUM
easat-8312	52	3	]	]	PUNCT
easat-8312	52	4	researched	research	VERB
easat-8312	52	5	a	a	DET
easat-8312	52	6	method	method	NOUN
easat-8312	52	7	for	for	ADP
easat-8312	52	8	predicting	predict	VERB
easat-8312	52	9	wind	wind	NOUN
easat-8312	52	10	turbine	turbine	NOUN
easat-8312	52	11	blade	blade	NOUN
easat-8312	52	12	icing	ice	VERB
easat-8312	52	13	employing	employ	VERB
easat-8312	52	14	a	a	DET
easat-8312	52	15	focal	focal	ADJ
easat-8312	52	16	loss	loss	NOUN
easat-8312	52	17	function	function	NOUN
easat-8312	52	18	combined	combine	VERB
easat-8312	52	19	with	with	ADP
easat-8312	52	20	a	a	DET
easat-8312	52	21	cnn	cnn	PROPN
easat-8312	52	22	-	-	PUNCT
easat-8312	52	23	attention	attention	NOUN
easat-8312	52	24	-	-	PUNCT
easat-8312	52	25	gru	gru	NOUN
easat-8312	52	26	model	model	NOUN
easat-8312	52	27	.	.	PUNCT
easat-8312	53	1	by	by	ADP
easat-8312	53	2	refining	refine	VERB
easat-8312	53	3	feature	feature	NOUN
easat-8312	53	4	extraction	extraction	NOUN
easat-8312	53	5	and	and	CCONJ
easat-8312	53	6	handling	handle	VERB
easat-8312	53	7	data	datum	NOUN
easat-8312	53	8	imbalance	imbalance	NOUN
easat-8312	53	9	,	,	PUNCT
easat-8312	53	10	their	their	PRON
easat-8312	53	11	approach	approach	NOUN
easat-8312	53	12	improved	improve	VERB
easat-8312	53	13	prediction	prediction	NOUN
easat-8312	53	14	accuracy	accuracy	NOUN
easat-8312	53	15	by	by	ADP
easat-8312	53	16	an	an	DET
easat-8312	53	17	average	average	NOUN
easat-8312	53	18	of	of	ADP
easat-8312	53	19	6.41	6.41	NUM
easat-8312	53	20	%	%	NOUN
easat-8312	53	21	and	and	CCONJ
easat-8312	53	22	increased	increase	VERB
easat-8312	53	23	the	the	DET
easat-8312	53	24	f1	f1	NOUN
easat-8312	53	25	score	score	NOUN
easat-8312	53	26	by	by	ADP
easat-8312	53	27	4.27	4.27	NUM
easat-8312	53	28	%	%	NOUN
easat-8312	53	29	,	,	PUNCT
easat-8312	53	30	significantly	significantly	ADV
easat-8312	53	31	boosting	boost	VERB
easat-8312	53	32	the	the	DET
easat-8312	53	33	model	model	NOUN
easat-8312	53	34	's	's	PART
easat-8312	53	35	performance	performance	NOUN
easat-8312	53	36	.	.	PUNCT
easat-8312	54	1	in	in	ADP
easat-8312	54	2	this	this	DET
easat-8312	54	3	study	study	NOUN
easat-8312	54	4	[	[	X
easat-8312	54	5	23	23	NUM
easat-8312	54	6	]	]	PUNCT
easat-8312	54	7	.	.	PUNCT
easat-8312	55	1	a	a	DET
easat-8312	55	2	leaf	leaf	NOUN
easat-8312	55	3	icing	ice	VERB
easat-8312	55	4	detection	detection	NOUN
easat-8312	55	5	method	method	NOUN
easat-8312	55	6	was	be	AUX
easat-8312	55	7	utilized	utilize	VERB
easat-8312	55	8	,	,	PUNCT
easat-8312	55	9	combining	combine	VERB
easat-8312	55	10	a	a	DET
easat-8312	55	11	spatiotemporal	spatiotemporal	ADJ
easat-8312	55	12	attention	attention	NOUN
easat-8312	55	13	model	model	NOUN
easat-8312	55	14	with	with	ADP
easat-8312	55	15	an	an	DET
easat-8312	55	16	adaptive	adaptive	ADJ
easat-8312	55	17	weight	weight	NOUN
easat-8312	55	18	(	(	PUNCT
easat-8312	55	19	saw	saw	NOUN
easat-8312	55	20	)	)	PUNCT
easat-8312	55	21	loss	loss	NOUN
easat-8312	55	22	function	function	NOUN
easat-8312	55	23	.	.	PUNCT
easat-8312	56	1	this	this	DET
easat-8312	56	2	approach	approach	NOUN
easat-8312	56	3	significantly	significantly	ADV
easat-8312	56	4	enhances	enhance	VERB
easat-8312	56	5	classification	classification	NOUN
easat-8312	56	6	accuracy	accuracy	NOUN
easat-8312	56	7	and	and	CCONJ
easat-8312	56	8	adaptability	adaptability	NOUN
easat-8312	56	9	by	by	ADP
easat-8312	56	10	extracting	extract	VERB
easat-8312	56	11	and	and	CCONJ
easat-8312	56	12	weighting	weight	VERB
easat-8312	56	13	spatiotemporal	spatiotemporal	ADJ
easat-8312	56	14	features	feature	NOUN
easat-8312	56	15	from	from	ADP
easat-8312	56	16	imbalanced	imbalanced	ADJ
easat-8312	56	17	scada	scada	PROPN
easat-8312	56	18	data	data	PROPN
easat-8312	56	19	while	while	SCONJ
easat-8312	56	20	dynamically	dynamically	ADV
easat-8312	56	21	adjusting	adjust	VERB
easat-8312	56	22	data	datum	NOUN
easat-8312	56	23	category	category	NOUN
easat-8312	56	24	weights	weight	NOUN
easat-8312	56	25	.	.	PUNCT
easat-8312	57	1	the	the	DET
easat-8312	57	2	gtan	gtan	ADJ
easat-8312	57	3	model	model	NOUN
easat-8312	57	4	[	[	X
easat-8312	57	5	24	24	NUM
easat-8312	57	6	]	]	PUNCT
easat-8312	57	7	enhances	enhance	VERB
easat-8312	57	8	the	the	DET
easat-8312	57	9	accuracy	accuracy	NOUN
easat-8312	57	10	and	and	CCONJ
easat-8312	57	11	robustness	robustness	NOUN
easat-8312	57	12	of	of	ADP
easat-8312	57	13	wind	wind	NOUN
easat-8312	57	14	turbine	turbine	NOUN
easat-8312	57	15	blade	blade	NOUN
easat-8312	57	16	icing	ice	VERB
easat-8312	57	17	predictions	prediction	NOUN
easat-8312	57	18	by	by	ADP
easat-8312	57	19	integrating	integrate	VERB
easat-8312	57	20	feature	feature	NOUN
easat-8312	57	21	extraction	extraction	NOUN
easat-8312	57	22	,	,	PUNCT
easat-8312	57	23	temporal	temporal	ADJ
easat-8312	57	24	attention	attention	NOUN
easat-8312	57	25	mechanisms	mechanism	NOUN
easat-8312	57	26	,	,	PUNCT
easat-8312	57	27	and	and	CCONJ
easat-8312	57	28	a	a	DET
easat-8312	57	29	specialized	specialized	ADJ
easat-8312	57	30	loss	loss	NOUN
easat-8312	57	31	function	function	NOUN
easat-8312	57	32	for	for	ADP
easat-8312	57	33	handling	handle	VERB
easat-8312	57	34	imbalanced	imbalanced	ADJ
easat-8312	57	35	data	datum	NOUN
easat-8312	57	36	,	,	PUNCT
easat-8312	57	37	demonstrating	demonstrate	VERB
easat-8312	57	38	strong	strong	ADJ
easat-8312	57	39	potential	potential	NOUN
easat-8312	57	40	for	for	ADP
easat-8312	57	41	practical	practical	ADJ
easat-8312	57	42	applications	application	NOUN
easat-8312	57	43	.	.	PUNCT
easat-8312	58	1	tian	tian	ADJ
easat-8312	58	2	[	[	X
easat-8312	58	3	25	25	NUM
easat-8312	58	4	]	]	PUNCT
easat-8312	58	5	constructed	construct	VERB
easat-8312	58	6	a	a	DET
easat-8312	58	7	multi	multi	ADJ
easat-8312	58	8	-	-	ADJ
easat-8312	58	9	level	level	ADJ
easat-8312	58	10	convolutional	convolutional	ADJ
easat-8312	58	11	recurrent	recurrent	ADJ
easat-8312	58	12	neural	neural	ADJ
easat-8312	58	13	network	network	NOUN
easat-8312	58	14	(	(	PUNCT
easat-8312	58	15	mcrnn	mcrnn	NOUN
easat-8312	58	16	)	)	PUNCT
easat-8312	58	17	with	with	ADP
easat-8312	58	18	convolutional	convolutional	ADJ
easat-8312	58	19	neural	neural	ADJ
easat-8312	58	20	network	network	NOUN
easat-8312	58	21	(	(	PUNCT
easat-8312	58	22	cnn	cnn	PROPN
easat-8312	58	23	)	)	PUNCT
easat-8312	58	24	and	and	CCONJ
easat-8312	58	25	long	long	ADJ
easat-8312	58	26	short	short	ADJ
easat-8312	58	27	-	-	PUNCT
easat-8312	58	28	term	term	NOUN
easat-8312	58	29	memory	memory	NOUN
easat-8312	58	30	network	network	NOUN
easat-8312	58	31	(	(	PUNCT
easat-8312	58	32	lstm	lstm	NOUN
easat-8312	58	33	)	)	PUNCT
easat-8312	58	34	branches	branch	NOUN
easat-8312	58	35	for	for	ADP
easat-8312	58	36	leaf	leaf	NOUN
easat-8312	58	37	icing	ice	VERB
easat-8312	58	38	detection	detection	NOUN
easat-8312	58	39	.	.	PUNCT
easat-8312	59	1	wang	wang	PROPN
easat-8312	59	2	,	,	PUNCT
easat-8312	59	3	et	et	PROPN
easat-8312	59	4	al	al	PROPN
easat-8312	59	5	.	.	PUNCT
easat-8312	60	1	[	[	X
easat-8312	60	2	26	26	NUM
easat-8312	60	3	]	]	PUNCT
easat-8312	60	4	offered	offer	VERB
easat-8312	60	5	a	a	DET
easat-8312	60	6	wavelet	wavelet	NOUN
easat-8312	60	7	lstm	lstm	NOUN
easat-8312	60	8	method	method	NOUN
easat-8312	60	9	for	for	ADP
easat-8312	60	10	detecting	detect	VERB
easat-8312	60	11	ice	ice	NOUN
easat-8312	60	12	on	on	ADP
easat-8312	60	13	wind	wind	NOUN
easat-8312	60	14	2037	2037	NUM
easat-8312	60	15	edelweiss	edelweiss	PROPN
easat-8312	60	16	applied	apply	VERB
easat-8312	60	17	science	science	NOUN
easat-8312	60	18	and	and	CCONJ
easat-8312	60	19	technology	technology	NOUN
easat-8312	60	20	issn	issn	PROPN
easat-8312	60	21	:	:	PUNCT
easat-8312	60	22	2576	2576	NUM
easat-8312	60	23	-	-	SYM
easat-8312	60	24	8484	8484	NUM
easat-8312	60	25	vol	vol	NOUN
easat-8312	60	26	.	.	PROPN
easat-8312	61	1	9	9	NUM
easat-8312	61	2	,	,	PUNCT
easat-8312	61	3	no	no	INTJ
easat-8312	61	4	.	.	NOUN
easat-8312	61	5	6	6	NUM
easat-8312	61	6	:	:	SYM
easat-8312	61	7	2035	2035	NUM
easat-8312	61	8	-	-	SYM
easat-8312	61	9	2054	2054	NUM
easat-8312	61	10	,	,	PUNCT
easat-8312	61	11	2025	2025	NUM
easat-8312	61	12	doi	doi	NOUN
easat-8312	61	13	:	:	PUNCT
easat-8312	61	14	10.55214/25768484.v9i6.8312	10.55214/25768484.v9i6.8312	PROPN
easat-8312	61	15	©	©	PROPN
easat-8312	61	16	2025	2025	NUM
easat-8312	61	17	by	by	ADP
easat-8312	61	18	the	the	DET
easat-8312	61	19	authors	author	NOUN
easat-8312	61	20	;	;	PUNCT
easat-8312	61	21	licensee	licensee	PROPN
easat-8312	61	22	learning	learn	VERB
easat-8312	61	23	gate	gate	NOUN
easat-8312	61	24	turbine	turbine	NOUN
easat-8312	61	25	blades	blade	NOUN
easat-8312	61	26	.	.	PUNCT
easat-8312	62	1	this	this	DET
easat-8312	62	2	approach	approach	NOUN
easat-8312	62	3	incorporates	incorporate	VERB
easat-8312	62	4	wavelet	wavelet	NOUN
easat-8312	62	5	-	-	PUNCT
easat-8312	62	6	based	base	VERB
easat-8312	62	7	multi	multi	ADJ
easat-8312	62	8	-	-	ADJ
easat-8312	62	9	scale	scale	ADJ
easat-8312	62	10	learning	learning	NOUN
easat-8312	62	11	into	into	ADP
easat-8312	62	12	the	the	DET
easat-8312	62	13	traditional	traditional	ADJ
easat-8312	62	14	lstm	lstm	NOUN
easat-8312	62	15	framework	framework	NOUN
easat-8312	62	16	,	,	PUNCT
easat-8312	62	17	allowing	allow	VERB
easat-8312	62	18	for	for	ADP
easat-8312	62	19	the	the	DET
easat-8312	62	20	simultaneous	simultaneous	ADJ
easat-8312	62	21	learning	learning	NOUN
easat-8312	62	22	of	of	ADP
easat-8312	62	23	both	both	CCONJ
easat-8312	62	24	global	global	ADJ
easat-8312	62	25	and	and	CCONJ
easat-8312	62	26	local	local	ADJ
easat-8312	62	27	temporal	temporal	ADJ
easat-8312	62	28	features	feature	NOUN
easat-8312	62	29	from	from	ADP
easat-8312	62	30	multivariable	multivariable	ADJ
easat-8312	62	31	scada	scada	PROPN
easat-8312	62	32	signals	signal	NOUN
easat-8312	62	33	,	,	PUNCT
easat-8312	62	34	thus	thus	ADV
easat-8312	62	35	improving	improve	VERB
easat-8312	62	36	fault	fault	NOUN
easat-8312	62	37	detection	detection	NOUN
easat-8312	62	38	performance	performance	NOUN
easat-8312	62	39	.	.	PUNCT
easat-8312	63	1	although	although	SCONJ
easat-8312	63	2	existing	existing	ADJ
easat-8312	63	3	methods	method	NOUN
easat-8312	63	4	for	for	ADP
easat-8312	63	5	detecting	detect	VERB
easat-8312	63	6	ice	ice	NOUN
easat-8312	63	7	formation	formation	NOUN
easat-8312	63	8	in	in	ADP
easat-8312	63	9	wind	wind	NOUN
easat-8312	63	10	turbine	turbine	NOUN
easat-8312	63	11	blades	blade	NOUN
easat-8312	63	12	,	,	PUNCT
easat-8312	63	13	such	such	ADJ
easat-8312	63	14	as	as	ADP
easat-8312	63	15	gsde	gsde	PROPN
easat-8312	63	16	[	[	X
easat-8312	63	17	27	27	NUM
easat-8312	63	18	]	]	X
easat-8312	63	19	ess	ess	PROPN
easat-8312	63	20	-	-	PUNCT
easat-8312	63	21	elm	elm	PROPN
easat-8312	63	22	[	[	X
easat-8312	63	23	28	28	NUM
easat-8312	63	24	]	]	PUNCT
easat-8312	63	25	and	and	CCONJ
easat-8312	63	26	dciss	dciss	VERB
easat-8312	63	27	[	[	X
easat-8312	63	28	29	29	NUM
easat-8312	63	29	]	]	PUNCT
easat-8312	63	30	model	model	NOUN
easat-8312	63	31	have	have	AUX
easat-8312	63	32	made	make	VERB
easat-8312	63	33	significant	significant	ADJ
easat-8312	63	34	progress	progress	NOUN
easat-8312	63	35	in	in	ADP
easat-8312	63	36	improving	improve	VERB
easat-8312	63	37	the	the	DET
easat-8312	63	38	prediction	prediction	NOUN
easat-8312	63	39	accuracy	accuracy	NOUN
easat-8312	63	40	and	and	CCONJ
easat-8312	63	41	robustness	robustness	NOUN
easat-8312	63	42	,	,	PUNCT
easat-8312	63	43	but	but	CCONJ
easat-8312	63	44	there	there	PRON
easat-8312	63	45	are	be	VERB
easat-8312	63	46	still	still	ADV
easat-8312	63	47	some	some	DET
easat-8312	63	48	problems	problem	NOUN
easat-8312	63	49	such	such	ADJ
easat-8312	63	50	as	as	ADP
easat-8312	63	51	insufficient	insufficient	ADJ
easat-8312	63	52	generalization	generalization	NOUN
easat-8312	63	53	ability	ability	NOUN
easat-8312	63	54	,	,	PUNCT
easat-8312	63	55	strong	strong	ADJ
easat-8312	63	56	dependence	dependence	NOUN
easat-8312	63	57	on	on	ADP
easat-8312	63	58	high	high	ADJ
easat-8312	63	59	-	-	PUNCT
easat-8312	63	60	quality	quality	NOUN
easat-8312	63	61	labeled	label	VERB
easat-8312	63	62	samples	sample	NOUN
easat-8312	63	63	,	,	PUNCT
easat-8312	63	64	and	and	CCONJ
easat-8312	63	65	insufficient	insufficient	ADJ
easat-8312	63	66	feature	feature	NOUN
easat-8312	63	67	extraction	extraction	NOUN
easat-8312	63	68	.	.	PUNCT
easat-8312	64	1	especially	especially	ADV
easat-8312	64	2	when	when	SCONJ
easat-8312	64	3	dealing	deal	VERB
easat-8312	64	4	with	with	ADP
easat-8312	64	5	complex	complex	ADJ
easat-8312	64	6	scada	scada	PROPN
easat-8312	64	7	data	data	PROPN
easat-8312	64	8	,	,	PUNCT
easat-8312	64	9	these	these	DET
easat-8312	64	10	models	model	NOUN
easat-8312	64	11	often	often	ADV
easat-8312	64	12	ignore	ignore	VERB
easat-8312	64	13	the	the	DET
easat-8312	64	14	temporal	temporal	ADJ
easat-8312	64	15	characteristics	characteristic	NOUN
easat-8312	64	16	of	of	ADP
easat-8312	64	17	the	the	DET
easat-8312	64	18	data	datum	NOUN
easat-8312	64	19	and	and	CCONJ
easat-8312	64	20	the	the	DET
easat-8312	64	21	dependencies	dependency	NOUN
easat-8312	64	22	between	between	ADP
easat-8312	64	23	variables	variable	NOUN
easat-8312	64	24	,	,	PUNCT
easat-8312	64	25	leading	lead	VERB
easat-8312	64	26	to	to	ADP
easat-8312	64	27	a	a	DET
easat-8312	64	28	reduction	reduction	NOUN
easat-8312	64	29	in	in	ADP
easat-8312	64	30	detection	detection	NOUN
easat-8312	64	31	accuracy	accuracy	NOUN
easat-8312	64	32	in	in	ADP
easat-8312	64	33	a	a	DET
easat-8312	64	34	dynamic	dynamic	ADJ
easat-8312	64	35	environment	environment	NOUN
easat-8312	64	36	.	.	PUNCT
easat-8312	65	1	therefore	therefore	ADV
easat-8312	65	2	,	,	PUNCT
easat-8312	65	3	enhancing	enhance	VERB
easat-8312	65	4	the	the	DET
easat-8312	65	5	accuracy	accuracy	NOUN
easat-8312	65	6	of	of	ADP
easat-8312	65	7	ice	ice	NOUN
easat-8312	65	8	prediction	prediction	NOUN
easat-8312	65	9	of	of	ADP
easat-8312	65	10	wind	wind	NOUN
easat-8312	65	11	turbine	turbine	NOUN
easat-8312	65	12	blades	blade	NOUN
easat-8312	65	13	,	,	PUNCT
easat-8312	65	14	the	the	DET
easat-8312	65	15	paper	paper	NOUN
easat-8312	65	16	constructs	construct	VERB
easat-8312	65	17	a	a	DET
easat-8312	65	18	hybrid	hybrid	ADJ
easat-8312	65	19	prediction	prediction	NOUN
easat-8312	65	20	model	model	NOUN
easat-8312	65	21	combining	combine	VERB
easat-8312	65	22	convolutional	convolutional	ADJ
easat-8312	65	23	neural	neural	ADJ
easat-8312	65	24	network	network	NOUN
easat-8312	65	25	(	(	PUNCT
easat-8312	65	26	cnn	cnn	PROPN
easat-8312	65	27	)	)	PUNCT
easat-8312	65	28	with	with	ADP
easat-8312	65	29	bidirectional	bidirectional	ADJ
easat-8312	65	30	gated	gate	VERB
easat-8312	65	31	recurrent	recurrent	ADJ
easat-8312	65	32	unit	unit	NOUN
easat-8312	65	33	(	(	PUNCT
easat-8312	65	34	bigru	bigru	NOUN
easat-8312	65	35	)	)	PUNCT
easat-8312	65	36	network	network	NOUN
easat-8312	65	37	based	base	VERB
easat-8312	65	38	on	on	ADP
easat-8312	65	39	temporal	temporal	ADJ
easat-8312	65	40	pattern	pattern	NOUN
easat-8312	65	41	attention	attention	NOUN
easat-8312	65	42	mechanism	mechanism	NOUN
easat-8312	65	43	(	(	PUNCT
easat-8312	65	44	tpa	tpa	NOUN
easat-8312	65	45	)	)	PUNCT
easat-8312	66	1	[	[	X
easat-8312	66	2	30	30	NUM
easat-8312	66	3	,	,	PUNCT
easat-8312	66	4	31	31	NUM
easat-8312	66	5	]	]	PUNCT
easat-8312	66	6	.	.	PUNCT
easat-8312	67	1	the	the	DET
easat-8312	67	2	model	model	NOUN
easat-8312	67	3	integrates	integrate	VERB
easat-8312	67	4	the	the	DET
easat-8312	67	5	respective	respective	ADJ
easat-8312	67	6	characteristics	characteristic	NOUN
easat-8312	67	7	of	of	ADP
easat-8312	67	8	cnn	cnn	PROPN
easat-8312	67	9	,	,	PUNCT
easat-8312	67	10	bigru	bigru	NOUN
easat-8312	67	11	and	and	CCONJ
easat-8312	67	12	tpa	tpa	NOUN
easat-8312	67	13	modules	module	NOUN
easat-8312	67	14	,	,	PUNCT
easat-8312	67	15	and	and	CCONJ
easat-8312	67	16	constructs	construct	VERB
easat-8312	67	17	a	a	DET
easat-8312	67	18	continuous	continuous	ADJ
easat-8312	67	19	feature	feature	NOUN
easat-8312	67	20	map	map	NOUN
easat-8312	67	21	by	by	ADP
easat-8312	67	22	inputting	inputte	VERB
easat-8312	67	23	wind	wind	NOUN
easat-8312	67	24	turbine	turbine	NOUN
easat-8312	67	25	operation	operation	NOUN
easat-8312	67	26	data	datum	NOUN
easat-8312	67	27	and	and	CCONJ
easat-8312	67	28	environmental	environmental	ADJ
easat-8312	67	29	parameters	parameter	NOUN
easat-8312	67	30	through	through	ADP
easat-8312	67	31	the	the	DET
easat-8312	67	32	prior	prior	ADJ
easat-8312	67	33	knowledge	knowledge	NOUN
easat-8312	67	34	of	of	ADP
easat-8312	67	35	icing	ice	VERB
easat-8312	67	36	detection	detection	NOUN
easat-8312	67	37	.	.	PUNCT
easat-8312	68	1	then	then	ADV
easat-8312	68	2	,	,	PUNCT
easat-8312	68	3	the	the	DET
easat-8312	68	4	cnn	cnn	PROPN
easat-8312	68	5	is	be	AUX
easat-8312	68	6	used	use	VERB
easat-8312	68	7	to	to	PART
easat-8312	68	8	extract	extract	VERB
easat-8312	68	9	the	the	DET
easat-8312	68	10	latent	latent	NOUN
easat-8312	68	11	relationship	relationship	NOUN
easat-8312	68	12	between	between	ADP
easat-8312	68	13	the	the	DET
easat-8312	68	14	time	time	NOUN
easat-8312	68	15	series	series	PROPN
easat-8312	68	16	data	datum	NOUN
easat-8312	68	17	in	in	ADP
easat-8312	68	18	the	the	DET
easat-8312	68	19	feature	feature	NOUN
easat-8312	68	20	map	map	NOUN
easat-8312	68	21	,	,	PUNCT
easat-8312	68	22	and	and	CCONJ
easat-8312	68	23	the	the	DET
easat-8312	68	24	processed	process	VERB
easat-8312	68	25	feature	feature	NOUN
easat-8312	68	26	vector	vector	NOUN
easat-8312	68	27	is	be	AUX
easat-8312	68	28	used	use	VERB
easat-8312	68	29	as	as	ADP
easat-8312	68	30	the	the	DET
easat-8312	68	31	input	input	NOUN
easat-8312	68	32	of	of	ADP
easat-8312	68	33	the	the	DET
easat-8312	68	34	bigru	bigru	NOUN
easat-8312	68	35	network	network	NOUN
easat-8312	68	36	.	.	PUNCT
easat-8312	69	1	finally	finally	ADV
easat-8312	69	2	,	,	PUNCT
easat-8312	69	3	the	the	DET
easat-8312	69	4	dynamic	dynamic	ADJ
easat-8312	69	5	timing	timing	NOUN
easat-8312	69	6	modeling	modeling	NOUN
easat-8312	69	7	is	be	AUX
easat-8312	69	8	carried	carry	VERB
easat-8312	69	9	out	out	ADP
easat-8312	69	10	by	by	ADP
easat-8312	69	11	combining	combine	VERB
easat-8312	69	12	the	the	DET
easat-8312	69	13	tpa	tpa	NOUN
easat-8312	69	14	mechanism	mechanism	NOUN
easat-8312	69	15	to	to	PART
easat-8312	69	16	complete	complete	VERB
easat-8312	69	17	the	the	DET
easat-8312	69	18	short	short	ADJ
easat-8312	69	19	-	-	PUNCT
easat-8312	69	20	term	term	NOUN
easat-8312	69	21	prediction	prediction	NOUN
easat-8312	69	22	of	of	ADP
easat-8312	69	23	the	the	DET
easat-8312	69	24	icing	icing	NOUN
easat-8312	69	25	of	of	ADP
easat-8312	69	26	wind	wind	NOUN
easat-8312	69	27	turbine	turbine	NOUN
easat-8312	69	28	blades	blade	NOUN
easat-8312	69	29	.	.	PUNCT
easat-8312	70	1	compared	compare	VERB
easat-8312	70	2	to	to	ADP
easat-8312	70	3	the	the	DET
easat-8312	70	4	bigru	bigru	NOUN
easat-8312	70	5	network	network	NOUN
easat-8312	70	6	model	model	NOUN
easat-8312	70	7	alone	alone	ADV
easat-8312	70	8	,	,	PUNCT
easat-8312	70	9	the	the	DET
easat-8312	70	10	cnn	cnn	PROPN
easat-8312	70	11	-	-	PUNCT
easat-8312	70	12	bigru	bigru	NOUN
easat-8312	70	13	-	-	PUNCT
easat-8312	70	14	tpa	tpa	ADJ
easat-8312	70	15	hybrid	hybrid	ADJ
easat-8312	70	16	model	model	NOUN
easat-8312	70	17	uses	use	VERB
easat-8312	70	18	the	the	DET
easat-8312	70	19	cnn	cnn	PROPN
easat-8312	70	20	model	model	NOUN
easat-8312	70	21	to	to	PART
easat-8312	70	22	extract	extract	VERB
easat-8312	70	23	more	more	ADV
easat-8312	70	24	important	important	ADJ
easat-8312	70	25	icing	icing	NOUN
easat-8312	70	26	-	-	PUNCT
easat-8312	70	27	related	relate	VERB
easat-8312	70	28	features	feature	NOUN
easat-8312	70	29	.	.	PUNCT
easat-8312	71	1	additionally	additionally	ADV
easat-8312	71	2	,	,	PUNCT
easat-8312	71	3	the	the	DET
easat-8312	71	4	tpa	tpa	NOUN
easat-8312	71	5	module	module	NOUN
easat-8312	71	6	is	be	AUX
easat-8312	71	7	incorporated	incorporate	VERB
easat-8312	71	8	into	into	ADP
easat-8312	71	9	the	the	DET
easat-8312	71	10	bigru	bigru	NOUN
easat-8312	71	11	model	model	NOUN
easat-8312	71	12	to	to	PART
easat-8312	71	13	emphasize	emphasize	VERB
easat-8312	71	14	the	the	DET
easat-8312	71	15	key	key	ADJ
easat-8312	71	16	time	time	NOUN
easat-8312	71	17	series	series	PROPN
easat-8312	71	18	features	feature	VERB
easat-8312	71	19	after	after	ADP
easat-8312	71	20	bigru	bigru	ADP
easat-8312	71	21	analysis	analysis	NOUN
easat-8312	71	22	,	,	PUNCT
easat-8312	71	23	thereby	thereby	ADV
easat-8312	71	24	reducing	reduce	VERB
easat-8312	71	25	the	the	DET
easat-8312	71	26	influence	influence	NOUN
easat-8312	71	27	of	of	ADP
easat-8312	71	28	insignificant	insignificant	ADJ
easat-8312	71	29	features	feature	NOUN
easat-8312	71	30	.	.	PUNCT
easat-8312	72	1	this	this	DET
easat-8312	72	2	approach	approach	NOUN
easat-8312	72	3	addresses	address	VERB
easat-8312	72	4	the	the	DET
easat-8312	72	5	issue	issue	NOUN
easat-8312	72	6	of	of	ADP
easat-8312	72	7	the	the	DET
easat-8312	72	8	bigru	bigru	NOUN
easat-8312	72	9	model	model	NOUN
easat-8312	72	10	failing	fail	VERB
easat-8312	72	11	to	to	PART
easat-8312	72	12	distinguish	distinguish	VERB
easat-8312	72	13	the	the	DET
easat-8312	72	14	importance	importance	NOUN
easat-8312	72	15	of	of	ADP
easat-8312	72	16	time	time	NOUN
easat-8312	72	17	series	series	PROPN
easat-8312	72	18	features	feature	NOUN
easat-8312	72	19	,	,	PUNCT
easat-8312	72	20	resulting	result	VERB
easat-8312	72	21	in	in	ADP
easat-8312	72	22	improved	improve	VERB
easat-8312	72	23	prediction	prediction	NOUN
easat-8312	72	24	accuracy	accuracy	NOUN
easat-8312	72	25	and	and	CCONJ
easat-8312	72	26	robustness	robustness	NOUN
easat-8312	72	27	.	.	PUNCT
easat-8312	73	1	2	2	X
easat-8312	73	2	.	.	X
easat-8312	73	3	related	relate	VERB
easat-8312	73	4	work	work	NOUN
easat-8312	73	5	icing	icing	NOUN
easat-8312	73	6	of	of	ADP
easat-8312	73	7	wind	wind	NOUN
easat-8312	73	8	turbine	turbine	NOUN
easat-8312	73	9	blades	blade	NOUN
easat-8312	73	10	is	be	AUX
easat-8312	73	11	often	often	ADV
easat-8312	73	12	regarded	regard	VERB
easat-8312	73	13	as	as	ADP
easat-8312	73	14	a	a	DET
easat-8312	73	15	multivariate	multivariate	NOUN
easat-8312	73	16	time	time	NOUN
easat-8312	73	17	series	series	PROPN
easat-8312	73	18	binary	binary	PROPN
easat-8312	73	19	classification	classification	NOUN
easat-8312	73	20	problem	problem	NOUN
easat-8312	73	21	.	.	PUNCT
easat-8312	74	1	in	in	ADP
easat-8312	74	2	the	the	DET
easat-8312	74	3	day	day	NOUN
easat-8312	74	4	-	-	PUNCT
easat-8312	74	5	to	to	ADP
easat-8312	74	6	-	-	PUNCT
easat-8312	74	7	day	day	NOUN
easat-8312	74	8	operation	operation	NOUN
easat-8312	74	9	of	of	ADP
easat-8312	74	10	a	a	DET
easat-8312	74	11	wind	wind	NOUN
easat-8312	74	12	farm	farm	NOUN
easat-8312	74	13	,	,	PUNCT
easat-8312	74	14	it	it	PRON
easat-8312	74	15	is	be	AUX
easat-8312	74	16	critical	critical	ADJ
easat-8312	74	17	to	to	PART
easat-8312	74	18	quickly	quickly	ADV
easat-8312	74	19	determine	determine	VERB
easat-8312	74	20	whether	whether	SCONJ
easat-8312	74	21	the	the	DET
easat-8312	74	22	blades	blade	NOUN
easat-8312	74	23	are	be	AUX
easat-8312	74	24	icy	icy	ADJ
easat-8312	74	25	so	so	SCONJ
easat-8312	74	26	that	that	SCONJ
easat-8312	74	27	appropriate	appropriate	ADJ
easat-8312	74	28	measures	measure	NOUN
easat-8312	74	29	can	can	AUX
easat-8312	74	30	be	be	AUX
easat-8312	74	31	taken	take	VERB
easat-8312	74	32	in	in	ADP
easat-8312	74	33	a	a	DET
easat-8312	74	34	timely	timely	ADJ
easat-8312	74	35	manner	manner	NOUN
easat-8312	74	36	,	,	PUNCT
easat-8312	74	37	such	such	ADJ
easat-8312	74	38	as	as	ADP
easat-8312	74	39	stopping	stop	VERB
easat-8312	74	40	the	the	DET
easat-8312	74	41	aircraft	aircraft	NOUN
easat-8312	74	42	or	or	CCONJ
easat-8312	74	43	starting	start	VERB
easat-8312	74	44	the	the	DET
easat-8312	74	45	de	de	ADJ
easat-8312	74	46	-	-	ADJ
easat-8312	74	47	icing	ice	VERB
easat-8312	74	48	equipment	equipment	NOUN
easat-8312	74	49	.	.	PUNCT
easat-8312	75	1	by	by	ADP
easat-8312	75	2	simplifying	simplify	VERB
easat-8312	75	3	the	the	DET
easat-8312	75	4	problem	problem	NOUN
easat-8312	75	5	into	into	ADP
easat-8312	75	6	two	two	NUM
easat-8312	75	7	categories	category	NOUN
easat-8312	75	8	,	,	PUNCT
easat-8312	75	9	"	"	PUNCT
easat-8312	75	10	icing	ice	VERB
easat-8312	75	11	"	"	PUNCT
easat-8312	75	12	and	and	CCONJ
easat-8312	75	13	"	"	PUNCT
easat-8312	75	14	non	non	ADJ
easat-8312	75	15	-	-	ADJ
easat-8312	75	16	icing	icing	NOUN
easat-8312	75	17	"	"	PUNCT
easat-8312	75	18	,	,	PUNCT
easat-8312	75	19	the	the	DET
easat-8312	75	20	binary	binary	ADJ
easat-8312	75	21	classification	classification	NOUN
easat-8312	75	22	model	model	NOUN
easat-8312	75	23	not	not	PART
easat-8312	75	24	only	only	ADV
easat-8312	75	25	improves	improve	VERB
easat-8312	75	26	detection	detection	NOUN
easat-8312	75	27	efficiency	efficiency	NOUN
easat-8312	75	28	and	and	CCONJ
easat-8312	75	29	accuracy	accuracy	NOUN
easat-8312	75	30	,	,	PUNCT
easat-8312	75	31	but	but	CCONJ
easat-8312	75	32	also	also	ADV
easat-8312	75	33	simplifies	simplify	VERB
easat-8312	75	34	the	the	DET
easat-8312	75	35	data	datum	NOUN
easat-8312	75	36	processing	processing	NOUN
easat-8312	75	37	process	process	NOUN
easat-8312	75	38	,	,	PUNCT
easat-8312	75	39	which	which	PRON
easat-8312	75	40	helps	help	VERB
easat-8312	75	41	to	to	PART
easat-8312	75	42	achieve	achieve	VERB
easat-8312	75	43	faster	fast	ADJ
easat-8312	75	44	real	real	ADJ
easat-8312	75	45	-	-	PUNCT
easat-8312	75	46	time	time	NOUN
easat-8312	75	47	responses	response	NOUN
easat-8312	75	48	.	.	PUNCT
easat-8312	76	1	in	in	ADP
easat-8312	76	2	addition	addition	NOUN
easat-8312	76	3	,	,	PUNCT
easat-8312	76	4	the	the	DET
easat-8312	76	5	binary	binary	ADJ
easat-8312	76	6	classification	classification	NOUN
easat-8312	76	7	method	method	NOUN
easat-8312	76	8	requires	require	VERB
easat-8312	76	9	fewer	few	ADJ
easat-8312	76	10	computing	compute	VERB
easat-8312	76	11	resources	resource	NOUN
easat-8312	76	12	and	and	CCONJ
easat-8312	76	13	is	be	AUX
easat-8312	76	14	particularly	particularly	ADV
easat-8312	76	15	suitable	suitable	ADJ
easat-8312	76	16	for	for	ADP
easat-8312	76	17	the	the	DET
easat-8312	76	18	diagnosis	diagnosis	NOUN
easat-8312	76	19	of	of	ADP
easat-8312	76	20	ice	ice	NOUN
easat-8312	76	21	formation	formation	NOUN
easat-8312	76	22	of	of	ADP
easat-8312	76	23	wind	wind	NOUN
easat-8312	76	24	turbine	turbine	NOUN
easat-8312	76	25	blades	blade	NOUN
easat-8312	76	26	in	in	ADP
easat-8312	76	27	large	large	ADJ
easat-8312	76	28	-	-	PUNCT
easat-8312	76	29	scale	scale	NOUN
easat-8312	76	30	wind	wind	NOUN
easat-8312	76	31	farms	farm	NOUN
easat-8312	76	32	.	.	PUNCT
easat-8312	77	1	the	the	DET
easat-8312	77	2	data	data	NOUN
easat-8312	77	3	-	-	PUNCT
easat-8312	77	4	driven	drive	VERB
easat-8312	77	5	approach	approach	NOUN
easat-8312	77	6	to	to	ADP
easat-8312	77	7	modeling	model	VERB
easat-8312	77	8	wind	wind	NOUN
easat-8312	77	9	turbine	turbine	NOUN
easat-8312	77	10	blade	blade	NOUN
easat-8312	77	11	icing	ice	VERB
easat-8312	77	12	primarily	primarily	ADV
easat-8312	77	13	involves	involve	VERB
easat-8312	77	14	feature	feature	NOUN
easat-8312	77	15	engineering	engineering	NOUN
easat-8312	77	16	,	,	PUNCT
easat-8312	77	17	distance	distance	NOUN
easat-8312	77	18	analysis	analysis	NOUN
easat-8312	77	19	,	,	PUNCT
easat-8312	77	20	and	and	CCONJ
easat-8312	77	21	deep	deep	ADJ
easat-8312	77	22	learning	learning	NOUN
easat-8312	77	23	techniques	technique	NOUN
easat-8312	77	24	.	.	PUNCT
easat-8312	78	1	feature	feature	NOUN
easat-8312	78	2	engineering	engineering	NOUN
easat-8312	78	3	is	be	AUX
easat-8312	78	4	concerned	concern	VERB
easat-8312	78	5	with	with	ADP
easat-8312	78	6	extracting	extract	VERB
easat-8312	78	7	key	key	ADJ
easat-8312	78	8	features	feature	NOUN
easat-8312	78	9	from	from	ADP
easat-8312	78	10	the	the	DET
easat-8312	78	11	time	time	NOUN
easat-8312	78	12	,	,	PUNCT
easat-8312	78	13	frequency	frequency	NOUN
easat-8312	78	14	,	,	PUNCT
easat-8312	78	15	and	and	CCONJ
easat-8312	78	16	time	time	NOUN
easat-8312	78	17	-	-	PUNCT
easat-8312	78	18	frequency	frequency	NOUN
easat-8312	78	19	domains	domain	NOUN
easat-8312	78	20	to	to	PART
easat-8312	78	21	facilitate	facilitate	VERB
easat-8312	78	22	the	the	DET
easat-8312	78	23	classification	classification	NOUN
easat-8312	78	24	of	of	ADP
easat-8312	78	25	time	time	NOUN
easat-8312	78	26	series	series	PROPN
easat-8312	78	27	data.the	data.the	DET
easat-8312	78	28	distance	distance	NOUN
easat-8312	78	29	analysis	analysis	NOUN
easat-8312	78	30	method	method	NOUN
easat-8312	78	31	distinguishes	distinguish	VERB
easat-8312	78	32	between	between	ADP
easat-8312	78	33	normal	normal	ADJ
easat-8312	78	34	and	and	CCONJ
easat-8312	78	35	abnormal	abnormal	ADJ
easat-8312	78	36	samples	sample	NOUN
easat-8312	78	37	by	by	ADP
easat-8312	78	38	calculating	calculate	VERB
easat-8312	78	39	the	the	DET
easat-8312	78	40	distance	distance	NOUN
easat-8312	78	41	between	between	ADP
easat-8312	78	42	samples	sample	NOUN
easat-8312	78	43	.	.	PUNCT
easat-8312	79	1	however	however	ADV
easat-8312	79	2	,	,	PUNCT
easat-8312	79	3	the	the	DET
easat-8312	79	4	limitation	limitation	NOUN
easat-8312	79	5	of	of	ADP
easat-8312	79	6	these	these	DET
easat-8312	79	7	methods	method	NOUN
easat-8312	79	8	is	be	AUX
easat-8312	79	9	that	that	SCONJ
easat-8312	79	10	they	they	PRON
easat-8312	79	11	require	require	VERB
easat-8312	79	12	expertise	expertise	NOUN
easat-8312	79	13	to	to	PART
easat-8312	79	14	select	select	VERB
easat-8312	79	15	and	and	CCONJ
easat-8312	79	16	extract	extract	VERB
easat-8312	79	17	useful	useful	ADJ
easat-8312	79	18	features	feature	NOUN
easat-8312	79	19	and	and	CCONJ
easat-8312	79	20	suitable	suitable	ADJ
easat-8312	79	21	distance	distance	NOUN
easat-8312	79	22	metrics	metric	NOUN
easat-8312	79	23	,	,	PUNCT
easat-8312	79	24	which	which	PRON
easat-8312	79	25	often	often	ADV
easat-8312	79	26	require	require	VERB
easat-8312	79	27	a	a	DET
easat-8312	79	28	significant	significant	ADJ
easat-8312	79	29	investment	investment	NOUN
easat-8312	79	30	of	of	ADP
easat-8312	79	31	resources	resource	NOUN
easat-8312	79	32	.	.	PUNCT
easat-8312	80	1	in	in	ADP
easat-8312	80	2	contrast	contrast	NOUN
easat-8312	80	3	,	,	PUNCT
easat-8312	80	4	deep	deep	ADJ
easat-8312	80	5	learning	learning	NOUN
easat-8312	80	6	,	,	PUNCT
easat-8312	80	7	as	as	ADP
easat-8312	80	8	a	a	DET
easat-8312	80	9	data	data	NOUN
easat-8312	80	10	-	-	PUNCT
easat-8312	80	11	driven	drive	VERB
easat-8312	80	12	approach	approach	NOUN
easat-8312	80	13	,	,	PUNCT
easat-8312	80	14	can	can	AUX
easat-8312	80	15	overcome	overcome	VERB
easat-8312	80	16	these	these	DET
easat-8312	80	17	limitations	limitation	NOUN
easat-8312	80	18	and	and	CCONJ
easat-8312	80	19	provide	provide	VERB
easat-8312	80	20	more	more	ADV
easat-8312	80	21	effective	effective	ADJ
easat-8312	80	22	solutions	solution	NOUN
easat-8312	80	23	.	.	PUNCT
easat-8312	81	1	2.1	2.1	NUM
easat-8312	81	2	.	.	PUNCT
easat-8312	82	1	cnn	cnn	PROPN
easat-8312	82	2	neural	neural	ADJ
easat-8312	82	3	network	network	PROPN
easat-8312	82	4	the	the	DET
easat-8312	82	5	convolutional	convolutional	ADJ
easat-8312	82	6	neural	neural	ADJ
easat-8312	82	7	network	network	NOUN
easat-8312	82	8	(	(	PUNCT
easat-8312	82	9	cnn	cnn	PROPN
easat-8312	82	10	,	,	PUNCT
easat-8312	82	11	as	as	SCONJ
easat-8312	82	12	shown	show	VERB
easat-8312	82	13	in	in	ADP
easat-8312	82	14	figure	figure	NOUN
easat-8312	82	15	1	1	NUM
easat-8312	82	16	)	)	PUNCT
easat-8312	82	17	is	be	AUX
easat-8312	82	18	a	a	DET
easat-8312	82	19	deep	deep	ADJ
easat-8312	82	20	learning	learning	NOUN
easat-8312	82	21	model	model	NOUN
easat-8312	82	22	commonly	commonly	ADV
easat-8312	82	23	applied	apply	VERB
easat-8312	82	24	to	to	ADP
easat-8312	82	25	computer	computer	NOUN
easat-8312	82	26	vision	vision	NOUN
easat-8312	82	27	tasks	task	NOUN
easat-8312	82	28	,	,	PUNCT
easat-8312	82	29	especially	especially	ADV
easat-8312	82	30	for	for	ADP
easat-8312	82	31	image	image	NOUN
easat-8312	82	32	recognition	recognition	NOUN
easat-8312	82	33	and	and	CCONJ
easat-8312	82	34	classification	classification	NOUN
easat-8312	82	35	involve	involve	VERB
easat-8312	82	36	cnns	cnn	NOUN
easat-8312	82	37	that	that	PRON
easat-8312	82	38	extract	extract	VERB
easat-8312	82	39	features	feature	NOUN
easat-8312	82	40	from	from	ADP
easat-8312	82	41	image	image	NOUN
easat-8312	82	42	data	datum	NOUN
easat-8312	82	43	through	through	ADP
easat-8312	82	44	convolution	convolution	NOUN
easat-8312	82	45	and	and	CCONJ
easat-8312	82	46	pooling	pool	VERB
easat-8312	82	47	operations	operation	NOUN
easat-8312	82	48	,	,	PUNCT
easat-8312	82	49	followed	follow	VERB
easat-8312	82	50	by	by	ADP
easat-8312	82	51	classification	classification	NOUN
easat-8312	82	52	or	or	CCONJ
easat-8312	82	53	regression	regression	NOUN
easat-8312	82	54	in	in	ADP
easat-8312	82	55	fully	fully	ADV
easat-8312	82	56	connected	connected	ADJ
easat-8312	82	57	layers	layer	NOUN
easat-8312	82	58	.	.	PUNCT
easat-8312	83	1	the	the	DET
easat-8312	83	2	main	main	ADJ
easat-8312	83	3	components	component	NOUN
easat-8312	83	4	of	of	ADP
easat-8312	83	5	a	a	DET
easat-8312	83	6	cnn	cnn	NOUN
easat-8312	83	7	are	be	AUX
easat-8312	83	8	the	the	DET
easat-8312	83	9	convolutional	convolutional	ADJ
easat-8312	83	10	and	and	CCONJ
easat-8312	83	11	pooling	pool	VERB
easat-8312	83	12	layers	layer	NOUN
easat-8312	83	13	.	.	PUNCT
easat-8312	84	1	cnn	cnn	PROPN
easat-8312	85	1	[	[	X
easat-8312	85	2	32	32	NUM
easat-8312	85	3	]	]	PUNCT
easat-8312	85	4	has	have	AUX
easat-8312	85	5	shown	show	VERB
easat-8312	85	6	excellent	excellent	ADJ
easat-8312	85	7	performance	performance	NOUN
easat-8312	85	8	in	in	ADP
easat-8312	85	9	solving	solve	VERB
easat-8312	85	10	many	many	ADJ
easat-8312	85	11	2038	2038	NUM
easat-8312	85	12	edelweiss	edelweiss	PROPN
easat-8312	85	13	applied	apply	VERB
easat-8312	85	14	science	science	NOUN
easat-8312	85	15	and	and	CCONJ
easat-8312	85	16	technology	technology	NOUN
easat-8312	85	17	issn	issn	PROPN
easat-8312	85	18	:	:	PUNCT
easat-8312	85	19	2576	2576	NUM
easat-8312	85	20	-	-	SYM
easat-8312	85	21	8484	8484	NUM
easat-8312	85	22	vol	vol	NOUN
easat-8312	85	23	.	.	PROPN
easat-8312	86	1	9	9	NUM
easat-8312	86	2	,	,	PUNCT
easat-8312	86	3	no	no	INTJ
easat-8312	86	4	.	.	NOUN
easat-8312	86	5	6	6	NUM
easat-8312	86	6	:	:	SYM
easat-8312	86	7	2035	2035	NUM
easat-8312	86	8	-	-	SYM
easat-8312	86	9	2054	2054	NUM
easat-8312	86	10	,	,	PUNCT
easat-8312	86	11	2025	2025	NUM
easat-8312	86	12	doi	doi	NOUN
easat-8312	86	13	:	:	PUNCT
easat-8312	86	14	10.55214/25768484.v9i6.8312	10.55214/25768484.v9i6.8312	PROPN
easat-8312	86	15	©	©	PROPN
easat-8312	86	16	2025	2025	NUM
easat-8312	86	17	by	by	ADP
easat-8312	86	18	the	the	DET
easat-8312	86	19	authors	author	NOUN
easat-8312	86	20	;	;	PUNCT
easat-8312	86	21	licensee	licensee	PROPN
easat-8312	86	22	learning	learn	VERB
easat-8312	86	23	gate	gate	NOUN
easat-8312	86	24	problems	problem	NOUN
easat-8312	86	25	related	relate	VERB
easat-8312	86	26	to	to	ADP
easat-8312	86	27	multi	multi	ADJ
easat-8312	86	28	-	-	ADJ
easat-8312	86	29	dimensional	dimensional	ADJ
easat-8312	86	30	nonlinear	nonlinear	ADJ
easat-8312	86	31	data	datum	NOUN
easat-8312	86	32	and	and	CCONJ
easat-8312	86	33	has	have	AUX
easat-8312	86	34	been	be	AUX
easat-8312	86	35	extensively	extensively	ADV
easat-8312	86	36	used	use	VERB
easat-8312	86	37	in	in	ADP
easat-8312	86	38	the	the	DET
easat-8312	86	39	prediction	prediction	NOUN
easat-8312	86	40	of	of	ADP
easat-8312	86	41	wind	wind	NOUN
easat-8312	86	42	turbine	turbine	NOUN
easat-8312	86	43	blade	blade	NOUN
easat-8312	86	44	icing	icing	NOUN
easat-8312	86	45	.	.	PUNCT
easat-8312	87	1	input	input	NOUN
easat-8312	87	2	layer	layer	NOUN
easat-8312	87	3	pooling	pool	VERB
easat-8312	87	4	layerconvolutional	layerconvolutional	ADJ
easat-8312	87	5	layer	layer	NOUN
easat-8312	87	6	fully	fully	ADV
easat-8312	87	7	-	-	PUNCT
easat-8312	87	8	connected	connect	VERB
easat-8312	87	9	layer	layer	NOUN
easat-8312	87	10	output	output	NOUN
easat-8312	87	11	layer	layer	NOUN
easat-8312	87	12	figure	figure	NOUN
easat-8312	87	13	1	1	NUM
easat-8312	87	14	.	.	PUNCT
easat-8312	87	15	framework	framework	NOUN
easat-8312	87	16	of	of	ADP
easat-8312	87	17	cnn	cnn	PROPN
easat-8312	87	18	.	.	PUNCT
easat-8312	88	1	the	the	DET
easat-8312	88	2	convolutional	convolutional	ADJ
easat-8312	88	3	layer	layer	NOUN
easat-8312	88	4	operation	operation	NOUN
easat-8312	88	5	usually	usually	ADV
easat-8312	88	6	uses	use	VERB
easat-8312	88	7	a	a	DET
easat-8312	88	8	filter	filter	NOUN
easat-8312	88	9	-	-	PUNCT
easat-8312	88	10	like	like	ADJ
easat-8312	88	11	convolutional	convolutional	ADJ
easat-8312	88	12	kernel	kernel	NOUN
easat-8312	88	13	mechanism	mechanism	NOUN
easat-8312	88	14	to	to	PART
easat-8312	88	15	extract	extract	VERB
easat-8312	88	16	the	the	DET
easat-8312	88	17	features	feature	NOUN
easat-8312	88	18	of	of	ADP
easat-8312	88	19	the	the	DET
easat-8312	88	20	icing	icing	NOUN
easat-8312	88	21	parameter	parameter	NOUN
easat-8312	88	22	matrix	matrix	NOUN
easat-8312	88	23	of	of	ADP
easat-8312	88	24	wind	wind	NOUN
easat-8312	88	25	turbine	turbine	NOUN
easat-8312	88	26	blades	blade	NOUN
easat-8312	88	27	in	in	ADP
easat-8312	88	28	the	the	DET
easat-8312	88	29	scada	scada	PROPN
easat-8312	88	30	system	system	NOUN
easat-8312	88	31	,	,	PUNCT
easat-8312	88	32	extracts	extract	VERB
easat-8312	88	33	data	datum	NOUN
easat-8312	88	34	blocks	block	NOUN
easat-8312	88	35	from	from	ADP
easat-8312	88	36	the	the	DET
easat-8312	88	37	input	input	NOUN
easat-8312	88	38	feature	feature	NOUN
easat-8312	88	39	vectors	vector	NOUN
easat-8312	88	40	,	,	PUNCT
easat-8312	88	41	transforms	transform	VERB
easat-8312	88	42	them	they	PRON
easat-8312	88	43	,	,	PUNCT
easat-8312	88	44	and	and	CCONJ
easat-8312	88	45	then	then	ADV
easat-8312	88	46	reorders	reorder	VERB
easat-8312	88	47	the	the	DET
easat-8312	88	48	output	output	NOUN
easat-8312	88	49	feature	feature	NOUN
easat-8312	88	50	vectors	vector	NOUN
easat-8312	88	51	spatially	spatially	ADV
easat-8312	88	52	.	.	PUNCT
easat-8312	89	1	this	this	DET
easat-8312	89	2	operation	operation	NOUN
easat-8312	89	3	reduces	reduce	VERB
easat-8312	89	4	the	the	DET
easat-8312	89	5	quantity	quantity	NOUN
easat-8312	89	6	of	of	ADP
easat-8312	89	7	parameters	parameter	NOUN
easat-8312	89	8	in	in	ADP
easat-8312	89	9	the	the	DET
easat-8312	89	10	overall	overall	ADJ
easat-8312	89	11	network	network	NOUN
easat-8312	89	12	,	,	PUNCT
easat-8312	89	13	prevents	prevent	VERB
easat-8312	89	14	overfitting	overfitte	VERB
easat-8312	89	15	from	from	ADP
easat-8312	89	16	occurring	occur	VERB
easat-8312	89	17	,	,	PUNCT
easat-8312	89	18	and	and	CCONJ
easat-8312	89	19	reduces	reduce	VERB
easat-8312	89	20	the	the	DET
easat-8312	89	21	amount	amount	NOUN
easat-8312	89	22	of	of	ADP
easat-8312	89	23	memory	memory	NOUN
easat-8312	89	24	occupied	occupy	VERB
easat-8312	89	25	by	by	ADP
easat-8312	89	26	the	the	DET
easat-8312	89	27	entire	entire	ADJ
easat-8312	89	28	network	network	NOUN
easat-8312	89	29	,	,	PUNCT
easat-8312	89	30	thus	thus	ADV
easat-8312	89	31	reducing	reduce	VERB
easat-8312	89	32	the	the	DET
easat-8312	89	33	amount	amount	NOUN
easat-8312	89	34	of	of	ADP
easat-8312	89	35	computation	computation	NOUN
easat-8312	89	36	.	.	PUNCT
easat-8312	90	1	in	in	ADP
easat-8312	90	2	practice	practice	NOUN
easat-8312	90	3	,	,	PUNCT
easat-8312	90	4	convolution	convolution	NOUN
easat-8312	90	5	operations	operation	NOUN
easat-8312	90	6	are	be	AUX
easat-8312	90	7	usually	usually	ADV
easat-8312	90	8	used	use	VERB
easat-8312	90	9	instead	instead	ADV
easat-8312	90	10	of	of	ADP
easat-8312	90	11	convolution	convolution	NOUN
easat-8312	90	12	operations	operation	NOUN
easat-8312	90	13	because	because	SCONJ
easat-8312	90	14	they	they	PRON
easat-8312	90	15	need	need	VERB
easat-8312	90	16	to	to	PART
easat-8312	90	17	flip	flip	VERB
easat-8312	90	18	the	the	DET
easat-8312	90	19	convolution	convolution	NOUN
easat-8312	90	20	kernel	kernel	NOUN
easat-8312	90	21	during	during	ADP
easat-8312	90	22	backpropagation	backpropagation	NOUN
easat-8312	90	23	,	,	PUNCT
easat-8312	90	24	as	as	SCONJ
easat-8312	90	25	shown	show	VERB
easat-8312	90	26	in	in	ADP
easat-8312	90	27	equation	equation	NOUN
easat-8312	90	28	(	(	PUNCT
easat-8312	90	29	1	1	NUM
easat-8312	90	30	):	):	PUNCT
easat-8312	90	31	𝑦𝑙(𝑖,𝑗	𝑦𝑙(𝑖,𝑗	NOUN
easat-8312	90	32	)	)	PUNCT
easat-8312	90	33	=	=	PUNCT
easat-8312	91	1	𝐾𝑖	𝐾𝑖	PROPN
easat-8312	91	2	𝑙	𝑙	NOUN
easat-8312	91	3	∗	∗	NUM
easat-8312	91	4	𝑋𝑙(𝑟𝑗	𝑋𝑙(𝑟𝑗	PROPN
easat-8312	91	5	)	)	PUNCT
easat-8312	91	6	=	=	PUNCT
easat-8312	91	7	∑	∑	PUNCT
easat-8312	91	8	𝐾𝑖	𝐾𝑖	PRON
easat-8312	91	9	𝑙(𝑗′)𝑊−1	𝑙(𝑗′)𝑊−1	NOUN
easat-8312	91	10	𝑗′=0	𝑗′=0	PROPN
easat-8312	91	11	𝑋𝑙(𝑗+𝑗′	𝑋𝑙(𝑗+𝑗′	NOUN
easat-8312	91	12	)	)	PUNCT
easat-8312	91	13	(	(	PUNCT
easat-8312	91	14	1	1	X
easat-8312	91	15	)	)	PUNCT
easat-8312	91	16	where	where	SCONJ
easat-8312	91	17	𝐾𝑖	𝐾𝑖	PROPN
easat-8312	91	18	𝑙(𝑗′	𝑙(𝑗′	NOUN
easat-8312	91	19	)	)	PUNCT
easat-8312	91	20	is	be	AUX
easat-8312	91	21	the	the	DET
easat-8312	91	22	j	j	NOUN
easat-8312	91	23	'	'	PUNCT
easat-8312	91	24	weight	weight	NOUN
easat-8312	91	25	of	of	ADP
easat-8312	91	26	the	the	DET
easat-8312	91	27	i	i	PROPN
easat-8312	91	28	-	-	PUNCT
easat-8312	91	29	th	th	X
easat-8312	91	30	convolutional	convolutional	ADJ
easat-8312	91	31	kernel	kernel	NOUN
easat-8312	91	32	of	of	ADP
easat-8312	91	33	l	l	PROPN
easat-8312	91	34	-	-	PUNCT
easat-8312	91	35	layer;𝑋𝑙(𝑗+𝑗′	layer;𝑋𝑙(𝑗+𝑗′	NUM
easat-8312	91	36	)	)	PUNCT
easat-8312	91	37	represents	represent	VERB
easat-8312	91	38	the	the	DET
easat-8312	91	39	j	j	PROPN
easat-8312	91	40	-	-	PUNCT
easat-8312	91	41	th	th	X
easat-8312	91	42	convoluted	convoluted	ADJ
easat-8312	91	43	local	local	ADJ
easat-8312	91	44	region	region	NOUN
easat-8312	91	45	of	of	ADP
easat-8312	91	46	the	the	DET
easat-8312	91	47	i	i	PROPN
easat-8312	91	48	-	-	PUNCT
easat-8312	91	49	th	th	PROPN
easat-8312	91	50	convolution	convolution	NOUN
easat-8312	91	51	kernel	kernel	NOUN
easat-8312	91	52	of	of	ADP
easat-8312	91	53	l	l	NOUN
easat-8312	91	54	-	-	NOUN
easat-8312	91	55	layer	layer	NOUN
easat-8312	91	56	;	;	PUNCT
easat-8312	91	57	w	w	NOUN
easat-8312	91	58	represents	represent	VERB
easat-8312	91	59	the	the	DET
easat-8312	91	60	width	width	NOUN
easat-8312	91	61	of	of	ADP
easat-8312	91	62	the	the	DET
easat-8312	91	63	convolution	convolution	NOUN
easat-8312	91	64	kernel	kernel	NOUN
easat-8312	91	65	.	.	PUNCT
easat-8312	92	1	the	the	DET
easat-8312	92	2	pooling	pool	VERB
easat-8312	92	3	layer	layer	NOUN
easat-8312	92	4	is	be	AUX
easat-8312	92	5	mainly	mainly	ADV
easat-8312	92	6	reducing	reduce	VERB
easat-8312	92	7	parameters	parameter	NOUN
easat-8312	92	8	through	through	ADP
easat-8312	92	9	downsampling	downsampling	NOUN
easat-8312	92	10	,	,	PUNCT
easat-8312	92	11	and	and	CCONJ
easat-8312	92	12	the	the	DET
easat-8312	92	13	pooling	pooling	NOUN
easat-8312	92	14	process	process	NOUN
easat-8312	92	15	is	be	AUX
easat-8312	92	16	described	describe	VERB
easat-8312	92	17	as	as	SCONJ
easat-8312	92	18	follows	follow	VERB
easat-8312	92	19	:	:	PUNCT
easat-8312	93	1	𝐴𝑘	𝐴𝑘	PROPN
easat-8312	93	2	𝑙	𝑙	X
easat-8312	93	3	(	(	PUNCT
easat-8312	93	4	𝑖	𝑖	PROPN
easat-8312	93	5	,	,	PUNCT
easat-8312	93	6	𝑗	𝑗	NOUN
easat-8312	93	7	)	)	PUNCT
easat-8312	93	8	=	=	NOUN
easat-8312	94	1	[	[	X
easat-8312	94	2	∑	∑	INTJ
easat-8312	94	3	∑	∑	PUNCT
easat-8312	94	4	𝐴𝑘	𝐴𝑘	VERB
easat-8312	94	5	𝑙𝑓	𝑙𝑓	ADP
easat-8312	94	6	𝑦=1	𝑦=1	X
easat-8312	94	7	𝑓	𝑓	PRON
easat-8312	94	8	𝑥=1	𝑥=1	X
easat-8312	94	9	(	(	PUNCT
easat-8312	94	10	𝑠0𝑖	𝑠0𝑖	PROPN
easat-8312	94	11	+	+	CCONJ
easat-8312	94	12	𝑥	𝑥	PROPN
easat-8312	94	13	,	,	PUNCT
easat-8312	94	14	𝑠0𝑗	𝑠0𝑗	X
easat-8312	94	15	+	+	CCONJ
easat-8312	94	16	𝑦)𝑝	𝑦)𝑝	NOUN
easat-8312	94	17	]	]	X
easat-8312	94	18	1	1	NUM
easat-8312	94	19	𝑝	𝑝	PROPN
easat-8312	94	20	(	(	PUNCT
easat-8312	94	21	2	2	NUM
easat-8312	94	22	)	)	PUNCT
easat-8312	94	23	where	where	SCONJ
easat-8312	94	24	s0	s0	PROPN
easat-8312	94	25	represents	represent	VERB
easat-8312	94	26	the	the	DET
easat-8312	94	27	step	step	NOUN
easat-8312	94	28	size	size	NOUN
easat-8312	94	29	,	,	PUNCT
easat-8312	94	30	f	f	PROPN
easat-8312	94	31	represents	represent	VERB
easat-8312	94	32	the	the	DET
easat-8312	94	33	size	size	NOUN
easat-8312	94	34	of	of	ADP
easat-8312	94	35	the	the	DET
easat-8312	94	36	convolution	convolution	NOUN
easat-8312	94	37	kernel	kernel	NOUN
easat-8312	94	38	,	,	PUNCT
easat-8312	94	39	p	p	PRON
easat-8312	94	40	fills	fill	VERB
easat-8312	94	41	the	the	DET
easat-8312	94	42	number	number	NOUN
easat-8312	94	43	of	of	ADP
easat-8312	94	44	layers	layer	NOUN
easat-8312	94	45	,	,	PUNCT
easat-8312	94	46	and	and	CCONJ
easat-8312	94	47	when	when	SCONJ
easat-8312	94	48	p→∞	p→∞	ADJ
easat-8312	94	49	,	,	PUNCT
easat-8312	94	50	the	the	DET
easat-8312	94	51	maximum	maximum	ADJ
easat-8312	94	52	value	value	NOUN
easat-8312	94	53	is	be	AUX
easat-8312	94	54	taken	take	VERB
easat-8312	94	55	in	in	ADP
easat-8312	94	56	the	the	DET
easat-8312	94	57	pooling	pooling	NOUN
easat-8312	94	58	area	area	NOUN
easat-8312	94	59	,	,	PUNCT
easat-8312	94	60	that	that	ADV
easat-8312	94	61	is	is	ADV
easat-8312	94	62	,	,	PUNCT
easat-8312	94	63	the	the	DET
easat-8312	94	64	maximum	maximum	ADJ
easat-8312	94	65	pooling	pooling	NOUN
easat-8312	94	66	.	.	PUNCT
easat-8312	95	1	the	the	DET
easat-8312	95	2	pooling	pool	VERB
easat-8312	95	3	layer	layer	NOUN
easat-8312	95	4	optimizes	optimize	VERB
easat-8312	95	5	the	the	DET
easat-8312	95	6	dimensionality	dimensionality	NOUN
easat-8312	95	7	by	by	ADP
easat-8312	95	8	selecting	select	VERB
easat-8312	95	9	the	the	DET
easat-8312	95	10	most	most	ADV
easat-8312	95	11	representative	representative	ADJ
easat-8312	95	12	features	feature	NOUN
easat-8312	95	13	to	to	PART
easat-8312	95	14	optimize	optimize	VERB
easat-8312	95	15	the	the	DET
easat-8312	95	16	network	network	NOUN
easat-8312	95	17	.	.	PUNCT
easat-8312	96	1	however	however	ADV
easat-8312	96	2	,	,	PUNCT
easat-8312	96	3	each	each	DET
easat-8312	96	4	spatial	spatial	ADJ
easat-8312	96	5	position	position	NOUN
easat-8312	96	6	in	in	ADP
easat-8312	96	7	the	the	DET
easat-8312	96	8	output	output	NOUN
easat-8312	96	9	feature	feature	NOUN
easat-8312	96	10	vector	vector	NOUN
easat-8312	96	11	matches	match	NOUN
easat-8312	96	12	to	to	ADP
easat-8312	96	13	the	the	DET
easat-8312	96	14	same	same	ADJ
easat-8312	96	15	position	position	NOUN
easat-8312	96	16	in	in	ADP
easat-8312	96	17	the	the	DET
easat-8312	96	18	input	input	NOUN
easat-8312	96	19	feature	feature	NOUN
easat-8312	96	20	vector	vector	NOUN
easat-8312	96	21	,	,	PUNCT
easat-8312	96	22	that	that	ADV
easat-8312	96	23	is	is	ADV
easat-8312	96	24	,	,	PUNCT
easat-8312	96	25	the	the	DET
easat-8312	96	26	original	original	ADJ
easat-8312	96	27	sequential	sequential	ADJ
easat-8312	96	28	relationship	relationship	NOUN
easat-8312	96	29	is	be	AUX
easat-8312	96	30	still	still	ADV
easat-8312	96	31	retained	retain	VERB
easat-8312	96	32	after	after	ADP
easat-8312	96	33	the	the	DET
easat-8312	96	34	convolutional	convolutional	ADJ
easat-8312	96	35	pooling	pooling	NOUN
easat-8312	96	36	operation	operation	NOUN
easat-8312	96	37	,	,	PUNCT
easat-8312	96	38	and	and	CCONJ
easat-8312	96	39	the	the	DET
easat-8312	96	40	temporal	temporal	ADJ
easat-8312	96	41	characteristics	characteristic	NOUN
easat-8312	96	42	of	of	ADP
easat-8312	96	43	the	the	DET
easat-8312	96	44	leaf	leaf	NOUN
easat-8312	96	45	icing	icing	NOUN
easat-8312	96	46	sequence	sequence	NOUN
easat-8312	96	47	are	be	AUX
easat-8312	96	48	not	not	PART
easat-8312	96	49	destroyed	destroy	VERB
easat-8312	96	50	.	.	PUNCT
easat-8312	97	1	2.2	2.2	NUM
easat-8312	97	2	.	.	PUNCT
easat-8312	97	3	gru	gru	VERB
easat-8312	97	4	a	a	DET
easat-8312	97	5	recurrent	recurrent	ADJ
easat-8312	97	6	neural	neural	ADJ
easat-8312	97	7	network	network	NOUN
easat-8312	97	8	(	(	PUNCT
easat-8312	97	9	rnn	rnn	PROPN
easat-8312	97	10	)	)	PUNCT
easat-8312	97	11	is	be	AUX
easat-8312	97	12	a	a	DET
easat-8312	97	13	model	model	NOUN
easat-8312	97	14	designed	design	VERB
easat-8312	97	15	to	to	PART
easat-8312	97	16	process	process	VERB
easat-8312	97	17	time	time	NOUN
easat-8312	97	18	series	series	PROPN
easat-8312	97	19	data	datum	NOUN
easat-8312	97	20	by	by	ADP
easat-8312	97	21	retaining	retain	VERB
easat-8312	97	22	previous	previous	ADJ
easat-8312	97	23	information	information	NOUN
easat-8312	97	24	through	through	ADP
easat-8312	97	25	the	the	DET
easat-8312	97	26	interconnected	interconnected	ADJ
easat-8312	97	27	structure	structure	NOUN
easat-8312	97	28	of	of	ADP
easat-8312	97	29	nodes	node	NOUN
easat-8312	97	30	at	at	ADP
easat-8312	97	31	each	each	DET
easat-8312	97	32	layer	layer	NOUN
easat-8312	97	33	.	.	PUNCT
easat-8312	98	1	this	this	DET
easat-8312	98	2	stored	store	VERB
easat-8312	98	3	information	information	NOUN
easat-8312	98	4	is	be	AUX
easat-8312	98	5	then	then	ADV
easat-8312	98	6	used	use	VERB
easat-8312	98	7	to	to	PART
easat-8312	98	8	influence	influence	VERB
easat-8312	98	9	the	the	DET
easat-8312	98	10	output	output	NOUN
easat-8312	98	11	of	of	ADP
easat-8312	98	12	subsequent	subsequent	ADJ
easat-8312	98	13	layers	layer	NOUN
easat-8312	98	14	,	,	PUNCT
easat-8312	98	15	enabling	enable	VERB
easat-8312	98	16	the	the	DET
easat-8312	98	17	model	model	NOUN
easat-8312	98	18	to	to	PART
easat-8312	98	19	capture	capture	VERB
easat-8312	98	20	temporal	temporal	ADJ
easat-8312	98	21	dependencies	dependency	NOUN
easat-8312	98	22	in	in	ADP
easat-8312	98	23	the	the	DET
easat-8312	98	24	data	datum	NOUN
easat-8312	98	25	.	.	PUNCT
easat-8312	99	1	2039	2039	NUM
easat-8312	99	2	edelweiss	edelweiss	PROPN
easat-8312	99	3	applied	apply	VERB
easat-8312	99	4	science	science	NOUN
easat-8312	99	5	and	and	CCONJ
easat-8312	99	6	technology	technology	NOUN
easat-8312	99	7	issn	issn	PROPN
easat-8312	99	8	:	:	PUNCT
easat-8312	99	9	2576	2576	NUM
easat-8312	99	10	-	-	SYM
easat-8312	99	11	8484	8484	NUM
easat-8312	99	12	vol	vol	NOUN
easat-8312	99	13	.	.	PROPN
easat-8312	100	1	9	9	NUM
easat-8312	100	2	,	,	PUNCT
easat-8312	100	3	no	no	INTJ
easat-8312	100	4	.	.	NOUN
easat-8312	100	5	6	6	NUM
easat-8312	100	6	:	:	SYM
easat-8312	100	7	2035	2035	NUM
easat-8312	100	8	-	-	SYM
easat-8312	100	9	2054	2054	NUM
easat-8312	100	10	,	,	PUNCT
easat-8312	100	11	2025	2025	NUM
easat-8312	100	12	doi	doi	NOUN
easat-8312	100	13	:	:	PUNCT
easat-8312	100	14	10.55214/25768484.v9i6.8312	10.55214/25768484.v9i6.8312	PROPN
easat-8312	100	15	©	©	PROPN
easat-8312	100	16	2025	2025	NUM
easat-8312	100	17	by	by	ADP
easat-8312	100	18	the	the	DET
easat-8312	100	19	authors	author	NOUN
easat-8312	100	20	;	;	PUNCT
easat-8312	100	21	licensee	licensee	PROPN
easat-8312	100	22	learning	learning	NOUN
easat-8312	100	23	gate	gate	NOUN
easat-8312	100	24	+	+	PROPN
easat-8312	100	25	σ	σ	PROPN
easat-8312	100	26	+	+	PROPN
easat-8312	100	27	σ	σ	PROPN
easat-8312	100	28	φ	φ	NOUN
easat-8312	101	1	+	+	PROPN
easat-8312	101	2	1	1	NUM
easat-8312	101	3	tx	tx	ADP
easat-8312	101	4	th	th	NUM
easat-8312	101	5	1	1	NUM
easat-8312	101	6	-	-	SYM
easat-8312	101	7	th	th	X
easat-8312	101	8	t	t	NOUN
easat-8312	101	9	h	h	NOUN
easat-8312	101	10	~	~	PUNCT
easat-8312	102	1	tr	tr	VERB
easat-8312	102	2	tz	tz	PROPN
easat-8312	102	3	tc	tc	NUM
easat-8312	102	4	figure	figure	NOUN
easat-8312	102	5	2	2	NUM
easat-8312	102	6	.	.	PUNCT
easat-8312	102	7	framework	framework	NOUN
easat-8312	102	8	of	of	ADP
easat-8312	102	9	gru	gru	PROPN
easat-8312	102	10	.	.	PUNCT
easat-8312	103	1	the	the	DET
easat-8312	103	2	original	original	ADJ
easat-8312	103	3	recurrent	recurrent	ADJ
easat-8312	103	4	neural	neural	ADJ
easat-8312	103	5	network	network	NOUN
easat-8312	103	6	(	(	PUNCT
easat-8312	103	7	rnn	rnn	PROPN
easat-8312	103	8	)	)	PUNCT
easat-8312	103	9	struggles	struggle	NOUN
easat-8312	103	10	with	with	ADP
easat-8312	103	11	learning	learn	VERB
easat-8312	103	12	long	long	ADJ
easat-8312	103	13	-	-	PUNCT
easat-8312	103	14	term	term	NOUN
easat-8312	103	15	dependencies	dependency	NOUN
easat-8312	103	16	in	in	ADP
easat-8312	103	17	sequential	sequential	ADJ
easat-8312	103	18	data	datum	NOUN
easat-8312	103	19	and	and	CCONJ
easat-8312	103	20	is	be	AUX
easat-8312	103	21	susceptible	susceptible	ADJ
easat-8312	103	22	to	to	ADP
easat-8312	103	23	issues	issue	NOUN
easat-8312	103	24	like	like	ADP
easat-8312	103	25	vanishing	vanish	VERB
easat-8312	103	26	or	or	CCONJ
easat-8312	103	27	exploding	explode	VERB
easat-8312	103	28	gradients	gradient	NOUN
easat-8312	103	29	,	,	PUNCT
easat-8312	103	30	making	make	VERB
easat-8312	103	31	gradient	gradient	NOUN
easat-8312	103	32	-	-	PUNCT
easat-8312	103	33	based	base	VERB
easat-8312	103	34	optimization	optimization	NOUN
easat-8312	103	35	methods	method	NOUN
easat-8312	103	36	challenging	challenge	VERB
easat-8312	103	37	.	.	PUNCT
easat-8312	104	1	to	to	PART
easat-8312	104	2	address	address	VERB
easat-8312	104	3	these	these	DET
easat-8312	104	4	problems	problem	NOUN
easat-8312	104	5	,	,	PUNCT
easat-8312	104	6	two	two	NUM
easat-8312	104	7	extended	extended	ADJ
easat-8312	104	8	models	model	NOUN
easat-8312	104	9	were	be	AUX
easat-8312	104	10	proposed	propose	VERB
easat-8312	104	11	:	:	PUNCT
easat-8312	104	12	long	long	ADJ
easat-8312	104	13	short	short	ADJ
easat-8312	104	14	-	-	PUNCT
easat-8312	104	15	term	term	NOUN
easat-8312	104	16	memory	memory	NOUN
easat-8312	104	17	(	(	PUNCT
easat-8312	104	18	lstm	lstm	NOUN
easat-8312	104	19	)	)	PUNCT
easat-8312	104	20	and	and	CCONJ
easat-8312	104	21	gated	gate	VERB
easat-8312	104	22	recurrent	recurrent	ADJ
easat-8312	104	23	units	unit	NOUN
easat-8312	104	24	(	(	PUNCT
easat-8312	104	25	gru	gru	NOUN
easat-8312	104	26	)	)	PUNCT
easat-8312	104	27	.	.	PUNCT
easat-8312	105	1	gru	gru	PROPN
easat-8312	105	2	,	,	PUNCT
easat-8312	105	3	a	a	DET
easat-8312	105	4	simplified	simplified	ADJ
easat-8312	105	5	version	version	NOUN
easat-8312	105	6	of	of	ADP
easat-8312	105	7	lstm	lstm	NOUN
easat-8312	105	8	,	,	PUNCT
easat-8312	105	9	features	feature	VERB
easat-8312	105	10	a	a	DET
easat-8312	105	11	more	more	ADV
easat-8312	105	12	efficient	efficient	ADJ
easat-8312	105	13	structure	structure	NOUN
easat-8312	105	14	.	.	PUNCT
easat-8312	106	1	as	as	SCONJ
easat-8312	106	2	depicted	depict	VERB
easat-8312	106	3	in	in	ADP
easat-8312	106	4	figure	figure	NOUN
easat-8312	106	5	2	2	NUM
easat-8312	106	6	,	,	PUNCT
easat-8312	106	7	gru	gru	NOUN
easat-8312	107	1	[	[	X
easat-8312	107	2	33	33	NUM
easat-8312	107	3	]	]	PUNCT
easat-8312	107	4	is	be	AUX
easat-8312	107	5	composed	compose	VERB
easat-8312	107	6	of	of	ADP
easat-8312	107	7	three	three	NUM
easat-8312	107	8	parts	part	NOUN
easat-8312	107	9	:	:	PUNCT
easat-8312	107	10	the	the	DET
easat-8312	107	11	reset	reset	NOUN
easat-8312	107	12	gate	gate	NOUN
easat-8312	107	13	(	(	PUNCT
easat-8312	107	14	rt	rt	PROPN
easat-8312	107	15	)	)	PUNCT
easat-8312	107	16	,	,	PUNCT
easat-8312	107	17	the	the	DET
easat-8312	107	18	update	update	NOUN
easat-8312	107	19	gate	gate	NOUN
easat-8312	107	20	(	(	PUNCT
easat-8312	107	21	zt	zt	PROPN
easat-8312	107	22	)	)	PUNCT
easat-8312	107	23	,	,	PUNCT
easat-8312	107	24	and	and	CCONJ
easat-8312	107	25	the	the	DET
easat-8312	107	26	candidate	candidate	NOUN
easat-8312	107	27	layer	layer	NOUN
easat-8312	107	28	(	(	PUNCT
easat-8312	107	29	ct	ct	NOUN
easat-8312	107	30	)	)	PUNCT
easat-8312	107	31	.	.	PUNCT
easat-8312	108	1	unlike	unlike	ADP
easat-8312	108	2	lstm	lstm	PROPN
easat-8312	108	3	,	,	PUNCT
easat-8312	108	4	gru	gru	NOUN
easat-8312	108	5	eliminates	eliminate	VERB
easat-8312	108	6	the	the	DET
easat-8312	108	7	need	need	NOUN
easat-8312	108	8	for	for	ADP
easat-8312	108	9	an	an	DET
easat-8312	108	10	additional	additional	ADJ
easat-8312	108	11	memory	memory	NOUN
easat-8312	108	12	cell	cell	NOUN
easat-8312	108	13	and	and	CCONJ
easat-8312	108	14	uses	use	VERB
easat-8312	108	15	the	the	DET
easat-8312	108	16	update	update	NOUN
easat-8312	108	17	gate	gate	NOUN
easat-8312	108	18	(	(	PUNCT
easat-8312	108	19	zt	zt	PROPN
easat-8312	108	20	)	)	PUNCT
easat-8312	108	21	to	to	PART
easat-8312	108	22	regulate	regulate	VERB
easat-8312	108	23	which	which	DET
easat-8312	108	24	information	information	NOUN
easat-8312	108	25	is	be	AUX
easat-8312	108	26	retained	retain	VERB
easat-8312	108	27	or	or	CCONJ
easat-8312	108	28	discarded	discard	VERB
easat-8312	108	29	,	,	PUNCT
easat-8312	108	30	thus	thus	ADV
easat-8312	108	31	reducing	reduce	VERB
easat-8312	108	32	computational	computational	ADJ
easat-8312	108	33	overhead	overhead	NOUN
easat-8312	108	34	.	.	PUNCT
easat-8312	109	1	the	the	DET
easat-8312	109	2	gru	gru	PROPN
easat-8312	109	3	’s	’s	PART
easat-8312	109	4	operations	operation	NOUN
easat-8312	109	5	can	can	AUX
easat-8312	109	6	be	be	AUX
easat-8312	109	7	computed	compute	VERB
easat-8312	109	8	as	as	SCONJ
easat-8312	109	9	follows	follow	VERB
easat-8312	109	10	:	:	PUNCT
easat-8312	109	11	𝑧𝑡=	𝑧𝑡=	PROPN
easat-8312	109	12	σ	σ	PROPN
easat-8312	109	13	(	(	PUNCT
easat-8312	109	14	𝑉xz𝑥𝑡	𝑉xz𝑥𝑡	PROPN
easat-8312	109	15	+	+	CCONJ
easat-8312	109	16	uhzℎt-1	uhzℎt-1	PROPN
easat-8312	109	17	+	+	NUM
easat-8312	109	18	b𝑧	b𝑧	NOUN
easat-8312	109	19	)	)	PUNCT
easat-8312	109	20	(	(	PUNCT
easat-8312	109	21	3	3	X
easat-8312	109	22	)	)	PUNCT
easat-8312	109	23	𝑟t	𝑟t	NOUN
easat-8312	110	1	=	=	SYM
easat-8312	110	2	σ	σ	PROPN
easat-8312	110	3	(	(	PUNCT
easat-8312	110	4	𝑉xr𝑥𝑡	𝑉xr𝑥𝑡	PROPN
easat-8312	110	5	+	+	CCONJ
easat-8312	110	6	𝑈ℎ𝑟ℎt-1	𝑈ℎ𝑟ℎt-1	PROPN
easat-8312	110	7	+	+	NUM
easat-8312	110	8	𝑏𝑟	𝑏𝑟	NOUN
easat-8312	110	9	)	)	PUNCT
easat-8312	110	10	(	(	PUNCT
easat-8312	110	11	4	4	X
easat-8312	110	12	)	)	PUNCT
easat-8312	110	13	𝑐𝑡	𝑐𝑡	ADP
easat-8312	110	14	=	=	SYM
easat-8312	110	15	φ(𝑉xc𝑐xt	φ(𝑉xc𝑐xt	X
easat-8312	111	1	+	+	CCONJ
easat-8312	111	2	𝑈ℎ𝑐	𝑈ℎ𝑐	PROPN
easat-8312	111	3	(	(	PUNCT
easat-8312	111	4	𝑟𝑡	𝑟𝑡	PROPN
easat-8312	111	5	⊙	⊙	PROPN
easat-8312	111	6	ℎt-1	ℎt-1	PUNCT
easat-8312	111	7	)	)	PUNCT
easat-8312	111	8	+	+	NUM
easat-8312	111	9	𝑏𝑐	𝑏𝑐	X
easat-8312	111	10	)	)	PUNCT
easat-8312	111	11	(	(	PUNCT
easat-8312	111	12	5	5	X
easat-8312	111	13	)	)	PUNCT
easat-8312	111	14	where	where	SCONJ
easat-8312	111	15	vxz	vxz	PROPN
easat-8312	111	16	,	,	PUNCT
easat-8312	111	17	vxr	vxr	PROPN
easat-8312	111	18	,	,	PUNCT
easat-8312	111	19	vxc	vxc	NOUN
easat-8312	111	20	denote	denote	VERB
easat-8312	111	21	the	the	DET
easat-8312	111	22	weights	weight	NOUN
easat-8312	111	23	that	that	PRON
easat-8312	111	24	link	link	VERB
easat-8312	111	25	the	the	DET
easat-8312	111	26	input	input	NOUN
easat-8312	111	27	layer	layer	NOUN
easat-8312	111	28	to	to	ADP
easat-8312	111	29	the	the	DET
easat-8312	111	30	gru	gru	NOUN
easat-8312	111	31	units	unit	NOUN
easat-8312	111	32	.	.	PUNCT
easat-8312	112	1	uhz	uhz	PROPN
easat-8312	112	2	,	,	PUNCT
easat-8312	112	3	uhr	uhr	PROPN
easat-8312	112	4	,	,	PUNCT
easat-8312	112	5	uhc	uhc	PROPN
easat-8312	112	6	represent	represent	VERB
easat-8312	112	7	the	the	DET
easat-8312	112	8	weights	weight	NOUN
easat-8312	112	9	associated	associate	VERB
easat-8312	112	10	with	with	ADP
easat-8312	112	11	the	the	DET
easat-8312	112	12	self	self	NOUN
easat-8312	112	13	-	-	PUNCT
easat-8312	112	14	connections	connection	NOUN
easat-8312	112	15	between	between	ADP
easat-8312	112	16	the	the	DET
easat-8312	112	17	current	current	ADJ
easat-8312	112	18	time	time	NOUN
easat-8312	112	19	step	step	NOUN
easat-8312	112	20	t	t	PROPN
easat-8312	112	21	and	and	CCONJ
easat-8312	112	22	the	the	DET
easat-8312	112	23	previous	previous	ADJ
easat-8312	112	24	time	time	NOUN
easat-8312	112	25	step	step	NOUN
easat-8312	112	26	t−1.bz	t−1.bz	NOUN
easat-8312	112	27	,	,	PUNCT
easat-8312	112	28	br	br	PROPN
easat-8312	112	29	denote	denote	VERB
easat-8312	112	30	the	the	DET
easat-8312	112	31	biases	bias	NOUN
easat-8312	112	32	for	for	ADP
easat-8312	112	33	the	the	DET
easat-8312	112	34	two	two	NUM
easat-8312	112	35	gates	gate	NOUN
easat-8312	112	36	in	in	ADP
easat-8312	112	37	the	the	DET
easat-8312	112	38	gru	gru	NOUN
easat-8312	112	39	unit	unit	NOUN
easat-8312	112	40	,	,	PUNCT
easat-8312	112	41	while	while	SCONJ
easat-8312	112	42	bc	bc	PROPN
easat-8312	112	43	represents	represent	VERB
easat-8312	112	44	the	the	DET
easat-8312	112	45	bias	bias	NOUN
easat-8312	112	46	for	for	ADP
easat-8312	112	47	the	the	DET
easat-8312	112	48	candidate	candidate	NOUN
easat-8312	112	49	layer	layer	NOUN
easat-8312	112	50	.	.	PUNCT
easat-8312	113	1	2.3	2.3	NUM
easat-8312	113	2	.	.	PUNCT
easat-8312	114	1	bidirectional	bidirectional	PROPN
easat-8312	114	2	gru	gru	PROPN
easat-8312	114	3	while	while	SCONJ
easat-8312	114	4	gru	gru	NOUN
easat-8312	114	5	is	be	AUX
easat-8312	114	6	effective	effective	ADJ
easat-8312	114	7	in	in	ADP
easat-8312	114	8	modeling	model	VERB
easat-8312	114	9	time	time	NOUN
easat-8312	114	10	-	-	PUNCT
easat-8312	114	11	series	series	NOUN
easat-8312	114	12	data	datum	NOUN
easat-8312	114	13	,	,	PUNCT
easat-8312	114	14	it	it	PRON
easat-8312	114	15	is	be	AUX
easat-8312	114	16	restricted	restrict	VERB
easat-8312	114	17	to	to	ADP
easat-8312	114	18	learning	learn	VERB
easat-8312	114	19	information	information	NOUN
easat-8312	114	20	solely	solely	ADV
easat-8312	114	21	in	in	ADP
easat-8312	114	22	the	the	DET
easat-8312	114	23	forward	forward	ADJ
easat-8312	114	24	direction	direction	NOUN
easat-8312	114	25	.	.	PUNCT
easat-8312	115	1	in	in	ADP
easat-8312	115	2	contrast	contrast	NOUN
easat-8312	115	3	,	,	PUNCT
easat-8312	115	4	the	the	DET
easat-8312	115	5	bidirectional	bidirectional	PROPN
easat-8312	115	6	gru	gru	PROPN
easat-8312	115	7	(	(	PUNCT
easat-8312	115	8	bigru	bigru	NOUN
easat-8312	115	9	)	)	PUNCT
easat-8312	115	10	improves	improve	VERB
easat-8312	115	11	upon	upon	SCONJ
easat-8312	115	12	this	this	PRON
easat-8312	115	13	by	by	ADP
easat-8312	115	14	incorporating	incorporate	VERB
easat-8312	115	15	two	two	NUM
easat-8312	115	16	layers	layer	NOUN
easat-8312	115	17	-	-	PUNCT
easat-8312	115	18	one	one	NUM
easat-8312	115	19	that	that	PRON
easat-8312	115	20	processes	process	VERB
easat-8312	115	21	information	information	NOUN
easat-8312	115	22	in	in	ADP
easat-8312	115	23	the	the	DET
easat-8312	115	24	forward	forward	ADJ
easat-8312	115	25	direction	direction	NOUN
easat-8312	115	26	and	and	CCONJ
easat-8312	115	27	another	another	PRON
easat-8312	115	28	in	in	ADP
easat-8312	115	29	the	the	DET
easat-8312	115	30	backward	backward	ADJ
easat-8312	115	31	direction	direction	NOUN
easat-8312	115	32	.	.	PUNCT
easat-8312	116	1	as	as	SCONJ
easat-8312	116	2	illustrated	illustrate	VERB
easat-8312	116	3	in	in	ADP
easat-8312	116	4	figure	figure	NOUN
easat-8312	116	5	3	3	NUM
easat-8312	116	6	,	,	PUNCT
easat-8312	116	7	the	the	DET
easat-8312	116	8	forward	forward	ADJ
easat-8312	116	9	and	and	CCONJ
easat-8312	116	10	backward	backward	ADJ
easat-8312	116	11	layers	layer	NOUN
easat-8312	116	12	are	be	AUX
easat-8312	116	13	connected	connect	VERB
easat-8312	116	14	to	to	ADP
easat-8312	116	15	the	the	DET
easat-8312	116	16	output	output	NOUN
easat-8312	116	17	layer	layer	NOUN
easat-8312	116	18	,	,	PUNCT
easat-8312	116	19	allowing	allow	VERB
easat-8312	116	20	the	the	DET
easat-8312	116	21	model	model	NOUN
easat-8312	116	22	to	to	PART
easat-8312	116	23	capture	capture	VERB
easat-8312	116	24	both	both	PRON
easat-8312	116	25	past	past	NOUN
easat-8312	116	26	and	and	CCONJ
easat-8312	116	27	future	future	ADJ
easat-8312	116	28	context	context	NOUN
easat-8312	116	29	,	,	PUNCT
easat-8312	116	30	making	make	VERB
easat-8312	116	31	it	it	PRON
easat-8312	116	32	more	more	ADV
easat-8312	116	33	effective	effective	ADJ
easat-8312	116	34	in	in	ADP
easat-8312	116	35	processing	process	VERB
easat-8312	116	36	sequential	sequential	ADJ
easat-8312	116	37	data	datum	NOUN
easat-8312	116	38	with	with	ADP
easat-8312	116	39	dependencies	dependency	NOUN
easat-8312	116	40	across	across	ADP
easat-8312	116	41	different	different	ADJ
easat-8312	116	42	time	time	NOUN
easat-8312	116	43	steps	step	NOUN
easat-8312	116	44	.	.	PUNCT
easat-8312	117	1	2040	2040	NUM
easat-8312	117	2	edelweiss	edelweiss	PROPN
easat-8312	117	3	applied	apply	VERB
easat-8312	117	4	science	science	NOUN
easat-8312	117	5	and	and	CCONJ
easat-8312	117	6	technology	technology	NOUN
easat-8312	117	7	issn	issn	PROPN
easat-8312	117	8	:	:	PUNCT
easat-8312	117	9	2576	2576	NUM
easat-8312	117	10	-	-	SYM
easat-8312	117	11	8484	8484	NUM
easat-8312	117	12	vol	vol	NOUN
easat-8312	117	13	.	.	PROPN
easat-8312	118	1	9	9	NUM
easat-8312	118	2	,	,	PUNCT
easat-8312	118	3	no	no	INTJ
easat-8312	118	4	.	.	NOUN
easat-8312	118	5	6	6	NUM
easat-8312	118	6	:	:	SYM
easat-8312	118	7	2035	2035	NUM
easat-8312	118	8	-	-	SYM
easat-8312	118	9	2054	2054	NUM
easat-8312	118	10	,	,	PUNCT
easat-8312	118	11	2025	2025	NUM
easat-8312	118	12	doi	doi	NOUN
easat-8312	118	13	:	:	PUNCT
easat-8312	118	14	10.55214/25768484.v9i6.8312	10.55214/25768484.v9i6.8312	PROPN
easat-8312	118	15	©	©	PROPN
easat-8312	118	16	2025	2025	NUM
easat-8312	118	17	by	by	ADP
easat-8312	118	18	the	the	DET
easat-8312	118	19	authors	author	NOUN
easat-8312	118	20	;	;	PUNCT
easat-8312	118	21	licensee	licensee	PROPN
easat-8312	118	22	learning	learn	VERB
easat-8312	118	23	gate	gate	PROPN
easat-8312	118	24	figure	figure	NOUN
easat-8312	118	25	3	3	NUM
easat-8312	118	26	.	.	PUNCT
easat-8312	118	27	framework	framework	NOUN
easat-8312	118	28	of	of	ADP
easat-8312	118	29	bigru	bigru	NOUN
easat-8312	118	30	.	.	PUNCT
easat-8312	119	1	the	the	DET
easat-8312	119	2	forward	forward	ADJ
easat-8312	119	3	layer	layer	NOUN
easat-8312	119	4	(	(	PUNCT
easat-8312	119	5	ℎ⃗	ℎ⃗	NOUN
easat-8312	119	6	𝑡	𝑡	NOUN
easat-8312	119	7	)	)	PUNCT
easat-8312	119	8	conducts	conduct	VERB
easat-8312	119	9	training	training	NOUN
easat-8312	119	10	on	on	ADP
easat-8312	119	11	the	the	DET
easat-8312	119	12	time	time	NOUN
easat-8312	119	13	-	-	PUNCT
easat-8312	119	14	series	series	NOUN
easat-8312	119	15	data	datum	NOUN
easat-8312	119	16	in	in	ADP
easat-8312	119	17	the	the	DET
easat-8312	119	18	forward	forward	ADJ
easat-8312	119	19	direction	direction	NOUN
easat-8312	119	20	,	,	PUNCT
easat-8312	119	21	while	while	SCONJ
easat-8312	119	22	the	the	DET
easat-8312	119	23	backward	backward	ADJ
easat-8312	119	24	layer	layer	NOUN
easat-8312	119	25	(	(	PUNCT
easat-8312	119	26	ℎ⃗⃖𝑡	ℎ⃗⃖𝑡	NUM
easat-8312	119	27	)	)	PUNCT
easat-8312	119	28	trains	train	VERB
easat-8312	119	29	the	the	DET
easat-8312	119	30	time	time	NOUN
easat-8312	119	31	-	-	PUNCT
easat-8312	119	32	series	series	NOUN
easat-8312	119	33	data	datum	NOUN
easat-8312	119	34	in	in	ADP
easat-8312	119	35	the	the	DET
easat-8312	119	36	reverse	reverse	NOUN
easat-8312	119	37	direction.this	direction.this	PRON
easat-8312	119	38	bidirectional	bidirectional	ADJ
easat-8312	119	39	approach	approach	NOUN
easat-8312	119	40	allows	allow	VERB
easat-8312	119	41	the	the	DET
easat-8312	119	42	model	model	NOUN
easat-8312	119	43	to	to	PART
easat-8312	119	44	utilize	utilize	VERB
easat-8312	119	45	information	information	NOUN
easat-8312	119	46	from	from	ADP
easat-8312	119	47	both	both	DET
easat-8312	119	48	directions	direction	NOUN
easat-8312	119	49	,	,	PUNCT
easat-8312	119	50	enhancing	enhance	VERB
easat-8312	119	51	its	its	PRON
easat-8312	119	52	understanding	understanding	NOUN
easat-8312	119	53	of	of	ADP
easat-8312	119	54	the	the	DET
easat-8312	119	55	sequence	sequence	NOUN
easat-8312	119	56	.	.	PUNCT
easat-8312	120	1	the	the	DET
easat-8312	120	2	forward	forward	ADJ
easat-8312	120	3	and	and	CCONJ
easat-8312	120	4	backward	backward	ADJ
easat-8312	120	5	training	training	NOUN
easat-8312	120	6	processes	process	NOUN
easat-8312	120	7	can	can	AUX
easat-8312	120	8	be	be	AUX
easat-8312	120	9	formulated	formulate	VERB
easat-8312	120	10	as	as	SCONJ
easat-8312	120	11	follows	follow	VERB
easat-8312	120	12	:	:	PUNCT
easat-8312	120	13	ℎ⃗	ℎ⃗	NOUN
easat-8312	120	14	𝑡	𝑡	X
easat-8312	120	15	=	=	SYM
easat-8312	120	16	𝑓(	𝑓(	PROPN
easat-8312	120	17	�	�	PROPN
easat-8312	120	18	⃗⃗⃗	⃗⃗⃗	PROPN
easat-8312	120	19	�	�	PROPN
easat-8312	120	20	⋅	⋅	PROPN
easat-8312	120	21	𝑥𝑡	𝑥𝑡	PROPN
easat-8312	120	22	+	+	PROPN
easat-8312	120	23	�	�	PROPN
easat-8312	120	24	⃗⃗	⃗⃗	PROPN
easat-8312	120	25	�	�	PROPN
easat-8312	120	26	⋅	⋅	PROPN
easat-8312	120	27	ℎ⃗	ℎ⃗	PROPN
easat-8312	120	28	𝑡−1	𝑡−1	PROPN
easat-8312	120	29	+	+	SYM
easat-8312	120	30	�	�	PROPN
easat-8312	120	31	⃗	⃗	NOUN
easat-8312	120	32	�	�	PROPN
easat-8312	120	33	)	)	PUNCT
easat-8312	120	34	(	(	PUNCT
easat-8312	120	35	6	6	NUM
easat-8312	120	36	)	)	PUNCT
easat-8312	120	37	ℎ⃗⃖𝑡	ℎ⃗⃖𝑡	NUM
easat-8312	120	38	=	=	SYM
easat-8312	120	39	𝑓(	𝑓(	VERB
easat-8312	120	40	�	�	PROPN
easat-8312	120	41	⃗⃗⃗⃖	⃗⃗⃗⃖	PROPN
easat-8312	120	42	�	�	PROPN
easat-8312	120	43	⋅	⋅	PROPN
easat-8312	120	44	𝑥𝑡	𝑥𝑡	PROPN
easat-8312	120	45	+	+	PROPN
easat-8312	120	46	�	�	PROPN
easat-8312	120	47	⃗⃗⃖	⃗⃗⃖	PROPN
easat-8312	120	48	�	�	PROPN
easat-8312	120	49	⋅	⋅	PROPN
easat-8312	120	50	ℎ⃗⃖𝑡−1	ℎ⃗⃖𝑡−1	PROPN
easat-8312	120	51	+	+	PROPN
easat-8312	120	52	�	�	PROPN
easat-8312	120	53	⃖⃗	⃖⃗	NOUN
easat-8312	120	54	�	�	NOUN
easat-8312	120	55	)	)	PUNCT
easat-8312	120	56	(	(	PUNCT
easat-8312	120	57	7	7	X
easat-8312	120	58	)	)	PUNCT
easat-8312	120	59	ℎ𝑡	ℎ𝑡	NOUN
easat-8312	120	60	=	=	SYM
easat-8312	120	61	ℎ⃗	ℎ⃗	PROPN
easat-8312	120	62	𝑡	𝑡	PROPN
easat-8312	120	63	⊕	⊕	PROPN
easat-8312	120	64	ℎ⃗⃖𝑡	ℎ⃗⃖𝑡	PROPN
easat-8312	120	65	(	(	PUNCT
easat-8312	120	66	8)	8)	NUM
easat-8312	120	67	the	the	DET
easat-8312	120	68	weights	weight	NOUN
easat-8312	120	69	connecting	connect	VERB
easat-8312	120	70	the	the	DET
easat-8312	120	71	input	input	NOUN
easat-8312	120	72	layer	layer	NOUN
easat-8312	120	73	to	to	ADP
easat-8312	120	74	the	the	DET
easat-8312	120	75	forward	forward	ADJ
easat-8312	120	76	and	and	CCONJ
easat-8312	120	77	backward	backward	ADJ
easat-8312	120	78	layers	layer	NOUN
easat-8312	120	79	are	be	AUX
easat-8312	120	80	denoted	denote	VERB
easat-8312	120	81	by	by	ADP
easat-8312	120	82	�	�	PROPN
easat-8312	120	83	⃗⃗⃗	⃗⃗⃗	PROPN
easat-8312	120	84	�	�	PROPN
easat-8312	120	85	and	and	CCONJ
easat-8312	120	86	�	�	PROPN
easat-8312	120	87	⃗⃗⃗⃖	⃗⃗⃗⃖	PROPN
easat-8312	120	88	�	�	PROPN
easat-8312	120	89	,	,	PUNCT
easat-8312	120	90	respectively	respectively	ADV
easat-8312	120	91	.	.	PUNCT
easat-8312	121	1	the	the	DET
easat-8312	121	2	self	self	NOUN
easat-8312	121	3	-	-	PUNCT
easat-8312	121	4	connection	connection	NOUN
easat-8312	121	5	weights	weight	NOUN
easat-8312	121	6	for	for	ADP
easat-8312	121	7	these	these	DET
easat-8312	121	8	layers	layer	NOUN
easat-8312	121	9	are	be	AUX
easat-8312	121	10	represented	represent	VERB
easat-8312	121	11	by	by	ADP
easat-8312	121	12	�	�	PROPN
easat-8312	121	13	⃗⃗	⃗⃗	PROPN
easat-8312	121	14	�	�	PROPN
easat-8312	121	15	and	and	CCONJ
easat-8312	121	16	�	�	PROPN
easat-8312	121	17	⃗⃗⃖	⃗⃗⃖	PROPN
easat-8312	121	18	�	�	PROPN
easat-8312	121	19	.	.	PUNCT
easat-8312	122	1	the	the	DET
easat-8312	122	2	biases	bias	NOUN
easat-8312	122	3	for	for	ADP
easat-8312	122	4	the	the	DET
easat-8312	122	5	forward	forward	ADJ
easat-8312	122	6	and	and	CCONJ
easat-8312	122	7	backward	backward	ADJ
easat-8312	122	8	layers	layer	NOUN
easat-8312	122	9	are	be	AUX
easat-8312	122	10	�	�	NOUN
easat-8312	122	11	⃗	⃗	X
easat-8312	122	12	�	�	PROPN
easat-8312	122	13	and	and	CCONJ
easat-8312	122	14	�	�	PROPN
easat-8312	122	15	⃖⃗	⃖⃗	NOUN
easat-8312	122	16	�	�	NOUN
easat-8312	122	17	,	,	PUNCT
easat-8312	122	18	respectively	respectively	ADV
easat-8312	122	19	.	.	PUNCT
easat-8312	123	1	additionally	additionally	ADV
easat-8312	123	2	,	,	PUNCT
easat-8312	123	3	⊕	⊕	PROPN
easat-8312	123	4	represents	represent	VERB
easat-8312	123	5	the	the	DET
easat-8312	123	6	concatenation	concatenation	NOUN
easat-8312	123	7	of	of	ADP
easat-8312	123	8	the	the	DET
easat-8312	123	9	outputs	output	NOUN
easat-8312	123	10	from	from	ADP
easat-8312	123	11	both	both	DET
easat-8312	123	12	layers	layer	NOUN
easat-8312	123	13	.	.	PUNCT
easat-8312	124	1	2.4	2.4	NUM
easat-8312	124	2	.	.	PUNCT
easat-8312	124	3	temporal	temporal	ADJ
easat-8312	124	4	attention	attention	NOUN
easat-8312	124	5	mechanism	mechanism	NOUN
easat-8312	124	6	the	the	DET
easat-8312	124	7	attention	attention	NOUN
easat-8312	124	8	mechanism	mechanism	NOUN
easat-8312	124	9	yin	yin	PROPN
easat-8312	124	10	and	and	CCONJ
easat-8312	124	11	jesse	jesse	PROPN
easat-8312	125	1	[	[	X
easat-8312	125	2	34	34	NUM
easat-8312	125	3	]	]	PUNCT
easat-8312	125	4	and	and	CCONJ
easat-8312	125	5	shi	shi	PROPN
easat-8312	125	6	,	,	PUNCT
easat-8312	125	7	et	et	PROPN
easat-8312	125	8	al	al	PROPN
easat-8312	125	9	.	.	PUNCT
easat-8312	126	1	[	[	X
easat-8312	126	2	35	35	NUM
easat-8312	126	3	]	]	PUNCT
easat-8312	126	4	mimics	mimic	VERB
easat-8312	126	5	human	human	ADJ
easat-8312	126	6	visual	visual	ADJ
easat-8312	126	7	attention	attention	NOUN
easat-8312	126	8	by	by	ADP
easat-8312	126	9	assigning	assign	VERB
easat-8312	126	10	different	different	ADJ
easat-8312	126	11	weights	weight	NOUN
easat-8312	126	12	to	to	ADP
easat-8312	126	13	various	various	ADJ
easat-8312	126	14	features	feature	NOUN
easat-8312	126	15	,	,	PUNCT
easat-8312	126	16	emphasizing	emphasize	VERB
easat-8312	126	17	those	those	PRON
easat-8312	126	18	most	most	ADV
easat-8312	126	19	relevant	relevant	ADJ
easat-8312	126	20	to	to	ADP
easat-8312	126	21	the	the	DET
easat-8312	126	22	target	target	NOUN
easat-8312	126	23	task	task	NOUN
easat-8312	126	24	.	.	PUNCT
easat-8312	127	1	typical	typical	ADJ
easat-8312	127	2	attention	attention	NOUN
easat-8312	127	3	mechanisms	mechanism	NOUN
easat-8312	127	4	focus	focus	VERB
easat-8312	127	5	on	on	ADP
easat-8312	127	6	extracting	extract	VERB
easat-8312	127	7	important	important	ADJ
easat-8312	127	8	information	information	NOUN
easat-8312	127	9	associated	associate	VERB
easat-8312	127	10	with	with	ADP
easat-8312	127	11	the	the	DET
easat-8312	127	12	current	current	ADJ
easat-8312	127	13	time	time	NOUN
easat-8312	127	14	step	step	NOUN
easat-8312	127	15	.	.	PUNCT
easat-8312	128	1	the	the	DET
easat-8312	128	2	context	context	PROPN
easat-8312	128	3	vector	vector	PROPN
easat-8312	128	4	vt	vt	PROPN
easat-8312	128	5	is	be	AUX
easat-8312	128	6	derived	derive	VERB
easat-8312	128	7	by	by	ADP
easat-8312	128	8	weighting	weight	VERB
easat-8312	128	9	the	the	DET
easat-8312	128	10	column	column	NOUN
easat-8312	128	11	vectors	vector	NOUN
easat-8312	128	12	of	of	ADP
easat-8312	128	13	the	the	DET
easat-8312	128	14	bigru	bigru	NOUN
easat-8312	128	15	hidden	hide	VERB
easat-8312	128	16	state	state	NOUN
easat-8312	128	17	h=(h1	h=(h1	NOUN
easat-8312	128	18	,	,	PUNCT
easat-8312	128	19	h2	h2	PROPN
easat-8312	128	20	,	,	PUNCT
easat-8312	128	21	...	...	PUNCT
easat-8312	128	22	,	,	PUNCT
easat-8312	128	23	ht-1	ht-1	X
easat-8312	128	24	)	)	PUNCT
easat-8312	128	25	.	.	PUNCT
easat-8312	129	1	however	however	ADV
easat-8312	129	2	,	,	PUNCT
easat-8312	129	3	in	in	ADP
easat-8312	129	4	the	the	DET
easat-8312	129	5	case	case	NOUN
easat-8312	129	6	of	of	ADP
easat-8312	129	7	wind	wind	NOUN
easat-8312	129	8	turbine	turbine	NOUN
easat-8312	129	9	blade	blade	NOUN
easat-8312	129	10	icing	ice	VERB
easat-8312	129	11	detection	detection	NOUN
easat-8312	129	12	,	,	PUNCT
easat-8312	129	13	each	each	DET
easat-8312	129	14	time	time	NOUN
easat-8312	129	15	step	step	NOUN
easat-8312	129	16	involves	involve	VERB
easat-8312	129	17	multiple	multiple	ADJ
easat-8312	129	18	variables	variable	NOUN
easat-8312	129	19	that	that	PRON
easat-8312	129	20	exhibit	exhibit	VERB
easat-8312	129	21	complex	complex	ADJ
easat-8312	129	22	nonlinear	nonlinear	ADJ
easat-8312	129	23	relationships	relationship	NOUN
easat-8312	129	24	.	.	PUNCT
easat-8312	130	1	additionally	additionally	ADV
easat-8312	130	2	,	,	PUNCT
easat-8312	130	3	each	each	DET
easat-8312	130	4	variable	variable	NOUN
easat-8312	130	5	exhibits	exhibit	VERB
easat-8312	130	6	unique	unique	ADJ
easat-8312	130	7	characteristics	characteristic	NOUN
easat-8312	130	8	and	and	CCONJ
easat-8312	130	9	periodicity	periodicity	NOUN
easat-8312	130	10	,	,	PUNCT
easat-8312	130	11	making	make	VERB
easat-8312	130	12	it	it	PRON
easat-8312	130	13	challenging	challenging	ADJ
easat-8312	130	14	to	to	PART
easat-8312	130	15	pinpoint	pinpoint	VERB
easat-8312	130	16	a	a	DET
easat-8312	130	17	specific	specific	ADJ
easat-8312	130	18	time	time	NOUN
easat-8312	130	19	step	step	NOUN
easat-8312	130	20	as	as	ADP
easat-8312	130	21	the	the	DET
easat-8312	130	22	primary	primary	ADJ
easat-8312	130	23	focus	focus	NOUN
easat-8312	130	24	.	.	PUNCT
easat-8312	131	1	to	to	PART
easat-8312	131	2	address	address	VERB
easat-8312	131	3	this	this	PRON
easat-8312	131	4	,	,	PUNCT
easat-8312	131	5	the	the	DET
easat-8312	131	6	temporal	temporal	ADJ
easat-8312	131	7	pattern	pattern	NOUN
easat-8312	131	8	attention	attention	NOUN
easat-8312	131	9	mechanism	mechanism	NOUN
easat-8312	131	10	(	(	PUNCT
easat-8312	131	11	tpa	tpa	NOUN
easat-8312	131	12	)	)	PUNCT
easat-8312	131	13	applies	apply	VERB
easat-8312	131	14	a	a	DET
easat-8312	131	15	onedimensional	onedimensional	ADJ
easat-8312	131	16	convolutional	convolutional	ADJ
easat-8312	131	17	neural	neural	ADJ
easat-8312	131	18	network	network	NOUN
easat-8312	131	19	(	(	PUNCT
easat-8312	131	20	1d	1d	PROPN
easat-8312	131	21	-	-	PUNCT
easat-8312	131	22	cnn	cnn	NOUN
easat-8312	131	23	)	)	PUNCT
easat-8312	131	24	filter	filter	NOUN
easat-8312	131	25	to	to	PART
easat-8312	131	26	extract	extract	VERB
easat-8312	131	27	row	row	NOUN
easat-8312	131	28	vector	vector	NOUN
easat-8312	131	29	features	feature	NOUN
easat-8312	131	30	from	from	ADP
easat-8312	131	31	the	the	DET
easat-8312	131	32	bigru	bigru	NOUN
easat-8312	131	33	hidden	hide	VERB
easat-8312	131	34	state	state	NOUN
easat-8312	131	35	h.	h.	NOUN
easat-8312	131	36	this	this	PRON
easat-8312	131	37	improves	improve	VERB
easat-8312	131	38	the	the	DET
easat-8312	131	39	model	model	NOUN
easat-8312	131	40	's	's	PART
easat-8312	131	41	capacity	capacity	NOUN
easat-8312	131	42	to	to	PART
easat-8312	131	43	capture	capture	VERB
easat-8312	131	44	the	the	DET
easat-8312	131	45	relationships	relationship	NOUN
easat-8312	131	46	among	among	ADP
easat-8312	131	47	multiple	multiple	ADJ
easat-8312	131	48	variables	variable	NOUN
easat-8312	131	49	across	across	ADP
easat-8312	131	50	various	various	ADJ
easat-8312	131	51	time	time	NOUN
easat-8312	131	52	steps	step	NOUN
easat-8312	131	53	.	.	PUNCT
easat-8312	132	1	the	the	DET
easat-8312	132	2	framework	framework	NOUN
easat-8312	132	3	of	of	ADP
easat-8312	132	4	tpa	tpa	PROPN
easat-8312	132	5	is	be	AUX
easat-8312	132	6	shown	show	VERB
easat-8312	132	7	in	in	ADP
easat-8312	132	8	figure	figure	NOUN
easat-8312	132	9	4	4	NUM
easat-8312	132	10	.	.	NOUN
easat-8312	132	11	2041	2041	NUM
easat-8312	132	12	edelweiss	edelweiss	PROPN
easat-8312	132	13	applied	apply	VERB
easat-8312	132	14	science	science	NOUN
easat-8312	132	15	and	and	CCONJ
easat-8312	132	16	technology	technology	NOUN
easat-8312	132	17	issn	issn	PROPN
easat-8312	132	18	:	:	PUNCT
easat-8312	132	19	2576	2576	NUM
easat-8312	132	20	-	-	SYM
easat-8312	132	21	8484	8484	NUM
easat-8312	132	22	vol	vol	NOUN
easat-8312	132	23	.	.	PROPN
easat-8312	133	1	9	9	NUM
easat-8312	133	2	,	,	PUNCT
easat-8312	133	3	no	no	INTJ
easat-8312	133	4	.	.	NOUN
easat-8312	133	5	6	6	NUM
easat-8312	133	6	:	:	SYM
easat-8312	133	7	2035	2035	NUM
easat-8312	133	8	-	-	SYM
easat-8312	133	9	2054	2054	NUM
easat-8312	133	10	,	,	PUNCT
easat-8312	133	11	2025	2025	NUM
easat-8312	133	12	doi	doi	NOUN
easat-8312	133	13	:	:	PUNCT
easat-8312	133	14	10.55214/25768484.v9i6.8312	10.55214/25768484.v9i6.8312	PROPN
easat-8312	133	15	©	©	PROPN
easat-8312	133	16	2025	2025	NUM
easat-8312	133	17	by	by	ADP
easat-8312	133	18	the	the	DET
easat-8312	133	19	authors	author	NOUN
easat-8312	133	20	;	;	PUNCT
easat-8312	133	21	licensee	licensee	PROPN
easat-8312	133	22	learning	learn	VERB
easat-8312	133	23	gate	gate	PROPN
easat-8312	133	24	ch	ch	PROPN
easat-8312	133	25	1,1	1,1	NUM
easat-8312	133	26	ch	ch	NOUN
easat-8312	133	27	1,2	1,2	NUM
easat-8312	133	28	c	c	X
easat-8312	133	29	mh	mh	PROPN
easat-8312	133	30	1	1	NUM
easat-8312	133	31	,	,	PUNCT
easat-8312	133	32	ch	ch	PROPN
easat-8312	133	33	2,1	2,1	NUM
easat-8312	133	34	ch	ch	NOUN
easat-8312	133	35	2,1	2,1	NUM
easat-8312	133	36	ch	ch	NOUN
easat-8312	133	37	2,1	2,1	NUM
easat-8312	133	38	c	c	X
easat-8312	134	1	kh	kh	NOUN
easat-8312	134	2	,	,	PUNCT
easat-8312	134	3	1	1	NUM
easat-8312	134	4	c	c	PROPN
easat-8312	134	5	kh	kh	PROPN
easat-8312	134	6	,	,	PUNCT
easat-8312	134	7	2	2	NUM
easat-8312	134	8	c	c	PROPN
easat-8312	134	9	kmh	kmh	NOUN
easat-8312	134	10	,	,	PUNCT
easat-8312	134	11	·	·	PUNCT
easat-8312	134	12	·	·	PUNCT
easat-8312	134	13	·	·	PUNCT
easat-8312	134	14	·	·	PUNCT
easat-8312	134	15	·	·	PUNCT
easat-8312	134	16	·	·	PUNCT
easat-8312	134	17	·	·	PUNCT
easat-8312	134	18	·	·	PUNCT
easat-8312	134	19	·	·	PUNCT
easat-8312	134	20	·	·	PUNCT
easat-8312	134	21	·	·	PUNCT
easat-8312	134	22	·	·	PUNCT
easat-8312	135	1	s	s	PART
easat-8312	135	2	c	c	NOUN
easat-8312	135	3	o	o	NOUN
easat-8312	135	4	rin	rin	NOUN
easat-8312	135	5	g	g	PROPN
easat-8312	135	6	fu	fu	PROPN
easat-8312	136	1	n	n	ADP
easat-8312	136	2	c	c	NOUN
easat-8312	136	3	tio	tio	NOUN
easat-8312	136	4	n	n	PROPN
easat-8312	136	5	1a	1a	X
easat-8312	136	6	2a	2a	NUM
easat-8312	136	7	na	na	ADP
easat-8312	137	1	+	+	NUM
easat-8312	137	2	wth	wth	NOUN
easat-8312	137	3	−	−	NOUN
easat-8312	137	4	1+−wth	1+−wth	NUM
easat-8312	137	5	2+−wth	2+−wth	NUM
easat-8312	137	6	1−th	1−th	PROPN
easat-8312	137	7	th	th	X
easat-8312	137	8	th	th	X
easat-8312	137	9	tv	tv	NOUN
easat-8312	137	10	·	·	PUNCT
easat-8312	137	11	·	·	PUNCT
easat-8312	137	12	·	·	PUNCT
easat-8312	137	13	'	'	PUNCT
easat-8312	137	14	th	th	PRON
easat-8312	137	15	figure	figure	NOUN
easat-8312	137	16	4	4	NUM
easat-8312	137	17	.	.	PUNCT
easat-8312	137	18	framework	framework	NOUN
easat-8312	137	19	of	of	ADP
easat-8312	137	20	tpa	tpa	PROPN
easat-8312	137	21	.	.	PUNCT
easat-8312	138	1	for	for	ADP
easat-8312	138	2	the	the	DET
easat-8312	138	3	initial	initial	ADJ
easat-8312	138	4	time	time	NOUN
easat-8312	138	5	series	series	PROPN
easat-8312	138	6	h	h	PROPN
easat-8312	138	7	,	,	PUNCT
easat-8312	138	8	bigru	bigru	ADP
easat-8312	138	9	computes	compute	VERB
easat-8312	138	10	a	a	DET
easat-8312	138	11	hidden	hidden	ADJ
easat-8312	138	12	state	state	NOUN
easat-8312	138	13	matrix	matrix	NOUN
easat-8312	138	14	𝐻i	𝐻i	PROPN
easat-8312	138	15	,	,	PUNCT
easat-8312	138	16	j	j	PROPN
easat-8312	138	17	,	,	PUNCT
easat-8312	138	18	and	and	CCONJ
easat-8312	138	19	tpa	tpa	PROPN
easat-8312	138	20	applies	apply	VERB
easat-8312	138	21	k	k	PROPN
easat-8312	138	22	filters	filter	VERB
easat-8312	138	23	to	to	PART
easat-8312	138	24	extract	extract	VERB
easat-8312	138	25	features	feature	NOUN
easat-8312	138	26	through	through	ADP
easat-8312	138	27	row	row	ADV
easat-8312	138	28	-	-	PUNCT
easat-8312	138	29	wise	wise	ADJ
easat-8312	138	30	convolution	convolution	NOUN
easat-8312	138	31	operations	operation	NOUN
easat-8312	138	32	on	on	ADP
easat-8312	138	33	each	each	DET
easat-8312	138	34	row	row	NOUN
easat-8312	138	35	hi	hi	INTJ
easat-8312	138	36	of	of	ADP
easat-8312	138	37	h	h	NOUN
easat-8312	138	38	,	,	PUNCT
easat-8312	138	39	generating	generate	VERB
easat-8312	138	40	a	a	DET
easat-8312	138	41	time	time	NOUN
easat-8312	138	42	pattern	pattern	NOUN
easat-8312	138	43	matrix	matrix	NOUN
easat-8312	138	44	𝐻i	𝐻i	PROPN
easat-8312	138	45	,	,	PUNCT
easat-8312	138	46	j	j	PROPN
easat-8312	138	47	𝐶	𝐶	PROPN
easat-8312	138	48	.	.	PUNCT
easat-8312	139	1	here	here	ADV
easat-8312	139	2	,	,	PUNCT
easat-8312	139	3	hi	hi	INTJ
easat-8312	139	4	,	,	PUNCT
easat-8312	139	5	j	j	PROPN
easat-8312	139	6	represents	represent	VERB
easat-8312	139	7	the	the	DET
easat-8312	139	8	output	output	NOUN
easat-8312	139	9	value	value	NOUN
easat-8312	139	10	corresponding	correspond	VERB
easat-8312	139	11	to	to	ADP
easat-8312	139	12	the	the	DET
easat-8312	139	13	i	i	PROPN
easat-8312	139	14	-	-	PUNCT
easat-8312	139	15	th	th	X
easat-8312	139	16	row	row	NOUN
easat-8312	139	17	vector	vector	NOUN
easat-8312	139	18	and	and	CCONJ
easat-8312	139	19	the	the	DET
easat-8312	139	20	jth	jth	PROPN
easat-8312	139	21	convolutional	convolutional	ADJ
easat-8312	139	22	kernel	kernel	NOUN
easat-8312	139	23	,	,	PUNCT
easat-8312	139	24	with	with	ADP
easat-8312	139	25	c	c	NOUN
easat-8312	139	26	representing	represent	VERB
easat-8312	139	27	the	the	DET
easat-8312	139	28	convolution	convolution	NOUN
easat-8312	139	29	process	process	NOUN
easat-8312	139	30	.	.	PUNCT
easat-8312	140	1	𝐻i	𝐻i	PROPN
easat-8312	140	2	,	,	PUNCT
easat-8312	140	3	j	j	PROPN
easat-8312	140	4	𝐶	𝐶	PROPN
easat-8312	140	5	=	=	PROPN
easat-8312	140	6	∑	∑	PUNCT
easat-8312	140	7	𝐻𝑖,(𝑡−𝑤−1+𝑙	𝐻𝑖,(𝑡−𝑤−1+𝑙	NUM
easat-8312	140	8	)	)	PUNCT
easat-8312	140	9	𝑤	𝑤	X
easat-8312	140	10	𝑙=1	𝑙=1	PUNCT
easat-8312	140	11	×	×	PROPN
easat-8312	140	12	𝐶𝑗,𝑇−𝑤+𝑙	𝐶𝑗,𝑇−𝑤+𝑙	PROPN
easat-8312	140	13	(	(	PUNCT
easat-8312	140	14	9	9	NUM
easat-8312	140	15	)	)	PUNCT
easat-8312	140	16	the	the	DET
easat-8312	140	17	predicted	predict	VERB
easat-8312	140	18	nodes	node	NOUN
easat-8312	140	19	are	be	AUX
easat-8312	140	20	ht	ht	PROPN
easat-8312	140	21	and	and	CCONJ
easat-8312	140	22	𝐻i	𝐻i	PROPN
easat-8312	140	23	,	,	PUNCT
easat-8312	140	24	j	j	PROPN
easat-8312	140	25	𝐶	𝐶	PROPN
easat-8312	140	26	.	.	PUNCT
easat-8312	141	1	each	each	DET
easat-8312	141	2	matrix	matrix	NOUN
easat-8312	141	3	row	row	NOUN
easat-8312	141	4	is	be	AUX
easat-8312	141	5	processed	process	VERB
easat-8312	141	6	to	to	PART
easat-8312	141	7	calculate	calculate	VERB
easat-8312	141	8	a	a	DET
easat-8312	141	9	weight	weight	NOUN
easat-8312	141	10	,	,	PUNCT
easat-8312	141	11	which	which	PRON
easat-8312	141	12	is	be	AUX
easat-8312	141	13	then	then	ADV
easat-8312	141	14	normalized	normalize	VERB
easat-8312	141	15	to	to	PART
easat-8312	141	16	derive	derive	VERB
easat-8312	141	17	the	the	DET
easat-8312	141	18	attention	attention	NOUN
easat-8312	141	19	weight	weight	NOUN
easat-8312	141	20	ai	ai	NOUN
easat-8312	141	21	,	,	PUNCT
easat-8312	141	22	reflecting	reflect	VERB
easat-8312	141	23	the	the	DET
easat-8312	141	24	influence	influence	NOUN
easat-8312	141	25	of	of	ADP
easat-8312	141	26	each	each	DET
easat-8312	141	27	time	time	NOUN
easat-8312	141	28	series	series	NOUN
easat-8312	141	29	on	on	ADP
easat-8312	141	30	ht	ht	PROPN
easat-8312	141	31	.	.	PUNCT
easat-8312	141	32	𝑓(𝐻𝑖	𝑓(𝐻𝑖	PROPN
easat-8312	141	33	𝐶	𝐶	PROPN
easat-8312	141	34	,	,	PUNCT
easat-8312	141	35	h𝑡	h𝑡	PROPN
easat-8312	141	36	)	)	PUNCT
easat-8312	141	37	=	=	SYM
easat-8312	142	1	(	(	PUNCT
easat-8312	142	2	𝐻𝑖	𝐻𝑖	PROPN
easat-8312	142	3	𝐶)𝑇𝑊𝑎ℎ𝑡	𝐶)𝑇𝑊𝑎ℎ𝑡	PROPN
easat-8312	142	4	(	(	PUNCT
easat-8312	142	5	10	10	NUM
easat-8312	142	6	)	)	PUNCT
easat-8312	142	7	𝑎𝑖	𝑎𝑖	VERB
easat-8312	142	8	=	=	SYM
easat-8312	142	9	sigmoid(𝑓(𝐻𝑖	sigmoid(𝑓(𝐻𝑖	PROPN
easat-8312	142	10	𝐶	𝐶	PROPN
easat-8312	142	11	,	,	PUNCT
easat-8312	142	12	ℎ𝑡	ℎ𝑡	NOUN
easat-8312	142	13	)	)	PUNCT
easat-8312	142	14	)	)	PUNCT
easat-8312	142	15	(	(	PUNCT
easat-8312	142	16	11	11	X
easat-8312	142	17	)	)	PUNCT
easat-8312	142	18	the	the	DET
easat-8312	142	19	weighted	weight	VERB
easat-8312	142	20	sum	sum	NOUN
easat-8312	142	21	of	of	ADP
easat-8312	142	22	the	the	DET
easat-8312	142	23	weights	weight	NOUN
easat-8312	142	24	of	of	ADP
easat-8312	142	25	each	each	DET
easat-8312	142	26	time	time	NOUN
easat-8312	142	27	series	series	NOUN
easat-8312	142	28	is	be	AUX
easat-8312	142	29	used	use	VERB
easat-8312	142	30	to	to	PART
easat-8312	142	31	obtain	obtain	VERB
easat-8312	142	32	the	the	DET
easat-8312	142	33	weight	weight	NOUN
easat-8312	142	34	vector	vector	NOUN
easat-8312	142	35	vt	vt	PROPN
easat-8312	142	36	,	,	PUNCT
easat-8312	142	37	which	which	PRON
easat-8312	142	38	takes	take	VERB
easat-8312	142	39	into	into	ADP
easat-8312	142	40	account	account	NOUN
easat-8312	142	41	the	the	DET
easat-8312	142	42	combined	combined	ADJ
easat-8312	142	43	effect	effect	NOUN
easat-8312	142	44	of	of	ADP
easat-8312	142	45	all	all	DET
easat-8312	142	46	rows	row	NOUN
easat-8312	142	47	on	on	ADP
easat-8312	142	48	ht	ht	PROPN
easat-8312	142	49	,	,	PUNCT
easat-8312	142	50	i.e.	i.e.	X
easat-8312	142	51	,	,	PUNCT
easat-8312	142	52	time	time	NOUN
easat-8312	142	53	attention	attention	NOUN
easat-8312	142	54	.	.	PUNCT
easat-8312	143	1	𝑣𝑡	𝑣𝑡	X
easat-8312	143	2	=	=	PUNCT
easat-8312	143	3	∑	∑	PUNCT
easat-8312	143	4	𝑎𝑖𝐻𝑖	𝑎𝑖𝐻𝑖	NOUN
easat-8312	144	1	𝐶𝑛	𝐶𝑛	PROPN
easat-8312	144	2	𝑖=1	𝑖=1	PROPN
easat-8312	144	3	(	(	PUNCT
easat-8312	144	4	12	12	NUM
easat-8312	144	5	)	)	PUNCT
easat-8312	144	6	for	for	ADP
easat-8312	144	7	vt	vt	PROPN
easat-8312	144	8	and	and	CCONJ
easat-8312	144	9	ht	ht	PROPN
easat-8312	144	10	,	,	PUNCT
easat-8312	144	11	the	the	DET
easat-8312	144	12	linear	linear	ADJ
easat-8312	144	13	mapping	mapping	NOUN
easat-8312	144	14	and	and	CCONJ
easat-8312	144	15	the	the	DET
easat-8312	144	16	sum	sum	NOUN
easat-8312	144	17	are	be	AUX
easat-8312	144	18	performed	perform	VERB
easat-8312	144	19	to	to	PART
easat-8312	144	20	obtain	obtain	VERB
easat-8312	144	21	the	the	DET
easat-8312	144	22	time	time	NOUN
easat-8312	144	23	information	information	NOUN
easat-8312	144	24	state	state	NOUN
easat-8312	144	25	ht	ht	PROPN
easat-8312	144	26	'	'	PUNCT
easat-8312	144	27	.	.	PUNCT
easat-8312	145	1	ℎ𝑡	ℎ𝑡	NOUN
easat-8312	145	2	′	′	NOUN
easat-8312	146	1	=	=	PUNCT
easat-8312	146	2	𝑊𝑡ℎ𝑡	𝑊𝑡ℎ𝑡	PROPN
easat-8312	146	3	+	+	PUNCT
easat-8312	146	4	𝑊𝑣𝑣𝑡	𝑊𝑣𝑣𝑡	PROPN
easat-8312	146	5	(	(	PUNCT
easat-8312	146	6	13	13	NUM
easat-8312	146	7	)	)	PUNCT
easat-8312	146	8	where	where	SCONJ
easat-8312	146	9	wt\wv	wt\wv	PROPN
easat-8312	146	10	represents	represent	VERB
easat-8312	146	11	the	the	DET
easat-8312	146	12	weight	weight	NOUN
easat-8312	146	13	matrix	matrix	NOUN
easat-8312	146	14	of	of	ADP
easat-8312	146	15	different	different	ADJ
easat-8312	146	16	variables	variable	NOUN
easat-8312	146	17	.	.	PUNCT
easat-8312	147	1	a	a	DET
easat-8312	147	2	key	key	ADJ
easat-8312	147	3	advantage	advantage	NOUN
easat-8312	147	4	of	of	ADP
easat-8312	147	5	tpa	tpa	PROPN
easat-8312	147	6	over	over	ADP
easat-8312	147	7	traditional	traditional	ADJ
easat-8312	147	8	attention	attention	NOUN
easat-8312	147	9	mechanisms	mechanism	NOUN
easat-8312	147	10	is	be	AUX
easat-8312	147	11	its	its	PRON
easat-8312	147	12	ability	ability	NOUN
easat-8312	147	13	to	to	PART
easat-8312	147	14	assign	assign	VERB
easat-8312	147	15	weights	weight	NOUN
easat-8312	147	16	not	not	PART
easat-8312	147	17	only	only	ADV
easat-8312	147	18	to	to	ADP
easat-8312	147	19	time	time	NOUN
easat-8312	147	20	steps	step	NOUN
easat-8312	147	21	,	,	PUNCT
easat-8312	147	22	but	but	CCONJ
easat-8312	147	23	also	also	ADV
easat-8312	147	24	to	to	ADP
easat-8312	147	25	individual	individual	ADJ
easat-8312	147	26	characteristic	characteristic	ADJ
easat-8312	147	27	dimensions	dimension	NOUN
easat-8312	147	28	related	relate	VERB
easat-8312	147	29	to	to	ADP
easat-8312	147	30	icing	icing	NOUN
easat-8312	147	31	of	of	ADP
easat-8312	147	32	wind	wind	NOUN
easat-8312	147	33	turbine	turbine	NOUN
easat-8312	147	34	blades	blade	NOUN
easat-8312	147	35	.	.	PUNCT
easat-8312	148	1	standard	standard	ADJ
easat-8312	148	2	attention	attention	NOUN
easat-8312	148	3	mechanisms	mechanism	NOUN
easat-8312	148	4	often	often	ADV
easat-8312	148	5	distribute	distribute	VERB
easat-8312	148	6	weights	weight	NOUN
easat-8312	148	7	between	between	ADP
easat-8312	148	8	different	different	ADJ
easat-8312	148	9	time	time	NOUN
easat-8312	148	10	steps	step	NOUN
easat-8312	148	11	,	,	PUNCT
easat-8312	148	12	which	which	PRON
easat-8312	148	13	makes	make	VERB
easat-8312	148	14	it	it	PRON
easat-8312	148	15	difficult	difficult	ADJ
easat-8312	148	16	to	to	PART
easat-8312	148	17	pinpoint	pinpoint	VERB
easat-8312	148	18	the	the	DET
easat-8312	148	19	specific	specific	ADJ
easat-8312	148	20	effect	effect	NOUN
easat-8312	148	21	of	of	ADP
easat-8312	148	22	each	each	DET
easat-8312	148	23	variable	variable	NOUN
easat-8312	148	24	on	on	ADP
easat-8312	148	25	leaf	leaf	NOUN
easat-8312	148	26	icing	icing	NOUN
easat-8312	148	27	within	within	ADP
easat-8312	148	28	a	a	DET
easat-8312	148	29	single	single	ADJ
easat-8312	148	30	time	time	NOUN
easat-8312	148	31	step	step	NOUN
easat-8312	148	32	.	.	PUNCT
easat-8312	149	1	in	in	ADP
easat-8312	149	2	contrast	contrast	NOUN
easat-8312	149	3	,	,	PUNCT
easat-8312	149	4	tpa	tpa	PROPN
easat-8312	149	5	digs	dig	VERB
easat-8312	149	6	deep	deep	ADV
easat-8312	149	7	into	into	ADP
easat-8312	149	8	the	the	DET
easat-8312	149	9	relationship	relationship	NOUN
easat-8312	149	10	between	between	ADP
easat-8312	149	11	variables	variable	NOUN
easat-8312	149	12	in	in	ADP
easat-8312	149	13	historical	historical	ADJ
easat-8312	149	14	data	datum	NOUN
easat-8312	149	15	and	and	CCONJ
easat-8312	149	16	current	current	ADJ
easat-8312	149	17	icing	icing	NOUN
easat-8312	149	18	conditions	condition	NOUN
easat-8312	149	19	,	,	PUNCT
easat-8312	149	20	using	use	VERB
easat-8312	149	21	weighted	weight	VERB
easat-8312	149	22	attention	attention	NOUN
easat-8312	149	23	vectors	vector	NOUN
easat-8312	149	24	to	to	PART
easat-8312	149	25	better	well	ADV
easat-8312	149	26	capture	capture	VERB
easat-8312	149	27	time	time	NOUN
easat-8312	149	28	series	series	PROPN
easat-8312	149	29	features	feature	VERB
easat-8312	149	30	to	to	PART
easat-8312	149	31	generate	generate	VERB
easat-8312	149	32	more	more	ADV
easat-8312	149	33	accurate	accurate	ADJ
easat-8312	149	34	predictions	prediction	NOUN
easat-8312	149	35	.	.	PUNCT
easat-8312	150	1	in	in	ADP
easat-8312	150	2	addition	addition	NOUN
easat-8312	150	3	,	,	PUNCT
easat-8312	150	4	while	while	SCONJ
easat-8312	150	5	rnn	rnn	NOUN
easat-8312	150	6	models	model	NOUN
easat-8312	150	7	such	such	ADJ
easat-8312	150	8	as	as	ADP
easat-8312	150	9	bigru	bigru	NOUN
easat-8312	150	10	often	often	ADV
easat-8312	150	11	encounter	encounter	VERB
easat-8312	150	12	problems	problem	NOUN
easat-8312	150	13	such	such	ADJ
easat-8312	150	14	as	as	ADP
easat-8312	150	15	vanishing	vanish	VERB
easat-8312	150	16	gradients	gradient	NOUN
easat-8312	150	17	when	when	SCONJ
easat-8312	150	18	dealing	deal	VERB
easat-8312	150	19	with	with	ADP
easat-8312	150	20	long	long	ADJ
easat-8312	150	21	-	-	PUNCT
easat-8312	150	22	term	term	NOUN
easat-8312	150	23	wind	wind	NOUN
easat-8312	150	24	turbine	turbine	NOUN
easat-8312	150	25	scada	scada	PROPN
easat-8312	150	26	data	data	PROPN
easat-8312	150	27	series	series	PROPN
easat-8312	150	28	,	,	PUNCT
easat-8312	150	29	tpa	tpa	PROPN
easat-8312	150	30	overcomes	overcome	VERB
easat-8312	150	31	this	this	DET
easat-8312	150	32	challenge	challenge	NOUN
easat-8312	150	33	by	by	ADP
easat-8312	150	34	analyzing	analyze	VERB
easat-8312	150	35	the	the	DET
easat-8312	150	36	correlation	correlation	NOUN
easat-8312	150	37	between	between	ADP
easat-8312	150	38	historical	historical	ADJ
easat-8312	150	39	icing	ice	VERB
easat-8312	150	40	sequences	sequence	NOUN
easat-8312	150	41	and	and	CCONJ
easat-8312	150	42	future	future	ADJ
easat-8312	150	43	results	result	NOUN
easat-8312	150	44	through	through	ADP
easat-8312	150	45	its	its	PRON
easat-8312	150	46	resource	resource	NOUN
easat-8312	150	47	allocation	allocation	NOUN
easat-8312	150	48	system	system	NOUN
easat-8312	150	49	.	.	PUNCT
easat-8312	151	1	this	this	DET
easat-8312	151	2	strategy	strategy	NOUN
easat-8312	151	3	emphasizes	emphasize	VERB
easat-8312	151	4	key	key	ADJ
easat-8312	151	5	contributors	contributor	NOUN
easat-8312	151	6	,	,	PUNCT
easat-8312	151	7	reduces	reduce	VERB
easat-8312	151	8	the	the	DET
easat-8312	151	9	risk	risk	NOUN
easat-8312	151	10	of	of	ADP
easat-8312	151	11	losing	lose	VERB
easat-8312	151	12	important	important	ADJ
easat-8312	151	13	information	information	NOUN
easat-8312	151	14	,	,	PUNCT
easat-8312	151	15	and	and	CCONJ
easat-8312	151	16	effectively	effectively	ADV
easat-8312	151	17	captures	capture	VERB
easat-8312	151	18	long	long	ADJ
easat-8312	151	19	-	-	PUNCT
easat-8312	151	20	term	term	NOUN
easat-8312	151	21	dependencies	dependency	NOUN
easat-8312	151	22	,	,	PUNCT
easat-8312	151	23	making	make	VERB
easat-8312	151	24	tpa	tpa	PROPN
easat-8312	151	25	a	a	DET
easat-8312	151	26	powerful	powerful	ADJ
easat-8312	151	27	2042	2042	NUM
easat-8312	151	28	edelweiss	edelweiss	PROPN
easat-8312	151	29	applied	apply	VERB
easat-8312	151	30	science	science	NOUN
easat-8312	151	31	and	and	CCONJ
easat-8312	151	32	technology	technology	NOUN
easat-8312	151	33	issn	issn	PROPN
easat-8312	151	34	:	:	PUNCT
easat-8312	151	35	2576	2576	NUM
easat-8312	151	36	-	-	SYM
easat-8312	151	37	8484	8484	NUM
easat-8312	151	38	vol	vol	NOUN
easat-8312	151	39	.	.	PROPN
easat-8312	152	1	9	9	NUM
easat-8312	152	2	,	,	PUNCT
easat-8312	152	3	no	no	INTJ
easat-8312	152	4	.	.	NOUN
easat-8312	152	5	6	6	NUM
easat-8312	152	6	:	:	SYM
easat-8312	152	7	2035	2035	NUM
easat-8312	152	8	-	-	SYM
easat-8312	152	9	2054	2054	NUM
easat-8312	152	10	,	,	PUNCT
easat-8312	152	11	2025	2025	NUM
easat-8312	152	12	doi	doi	NOUN
easat-8312	152	13	:	:	PUNCT
easat-8312	152	14	10.55214/25768484.v9i6.8312	10.55214/25768484.v9i6.8312	PROPN
easat-8312	152	15	©	©	PROPN
easat-8312	152	16	2025	2025	NUM
easat-8312	152	17	by	by	ADP
easat-8312	152	18	the	the	DET
easat-8312	152	19	authors	author	NOUN
easat-8312	152	20	;	;	PUNCT
easat-8312	152	21	licensee	licensee	PROPN
easat-8312	152	22	learning	learn	VERB
easat-8312	152	23	gate	gate	NOUN
easat-8312	152	24	tool	tool	NOUN
easat-8312	152	25	for	for	ADP
easat-8312	152	26	predicting	predict	VERB
easat-8312	152	27	icing	ice	VERB
easat-8312	152	28	on	on	ADP
easat-8312	152	29	wind	wind	NOUN
easat-8312	152	30	turbine	turbine	NOUN
easat-8312	152	31	blades	blade	NOUN
easat-8312	152	32	,	,	PUNCT
easat-8312	152	33	and	and	CCONJ
easat-8312	152	34	table	table	NOUN
easat-8312	152	35	5	5	NUM
easat-8312	152	36	can	can	AUX
easat-8312	152	37	demonstrate	demonstrate	VERB
easat-8312	152	38	the	the	DET
easat-8312	152	39	superiority	superiority	NOUN
easat-8312	152	40	of	of	ADP
easat-8312	152	41	its	its	PRON
easat-8312	152	42	model	model	NOUN
easat-8312	152	43	.	.	PUNCT
easat-8312	153	1	2.5	2.5	NUM
easat-8312	153	2	.	.	PUNCT
easat-8312	154	1	cnn	cnn	PROPN
easat-8312	154	2	-	-	PUNCT
easat-8312	154	3	bigru	bigru	PROPN
easat-8312	154	4	-	-	PUNCT
easat-8312	154	5	tpa	tpa	NOUN
easat-8312	154	6	model	model	NOUN
easat-8312	154	7	figure	figure	NOUN
easat-8312	154	8	5	5	NUM
easat-8312	154	9	shows	show	VERB
easat-8312	154	10	the	the	DET
easat-8312	154	11	architecture	architecture	NOUN
easat-8312	154	12	of	of	ADP
easat-8312	154	13	the	the	DET
easat-8312	154	14	cnn	cnn	PROPN
easat-8312	154	15	-	-	PUNCT
easat-8312	154	16	bigru	bigru	NOUN
easat-8312	154	17	-	-	PUNCT
easat-8312	154	18	tpa	tpa	NOUN
easat-8312	154	19	model	model	NOUN
easat-8312	154	20	developed	develop	VERB
easat-8312	154	21	in	in	ADP
easat-8312	154	22	this	this	DET
easat-8312	154	23	study	study	NOUN
easat-8312	154	24	,	,	PUNCT
easat-8312	154	25	consisting	consist	VERB
easat-8312	154	26	of	of	ADP
easat-8312	154	27	five	five	NUM
easat-8312	154	28	main	main	ADJ
easat-8312	154	29	components	component	NOUN
easat-8312	154	30	:	:	PUNCT
easat-8312	154	31	the	the	DET
easat-8312	154	32	input	input	NOUN
easat-8312	154	33	layer	layer	NOUN
easat-8312	154	34	,	,	PUNCT
easat-8312	154	35	cnn	cnn	PROPN
easat-8312	154	36	layer	layer	NOUN
easat-8312	154	37	,	,	PUNCT
easat-8312	154	38	bigru	bigru	VERB
easat-8312	154	39	layer	layer	NOUN
easat-8312	154	40	,	,	PUNCT
easat-8312	154	41	tpa	tpa	NOUN
easat-8312	154	42	layer	layer	NOUN
easat-8312	154	43	,	,	PUNCT
easat-8312	154	44	and	and	CCONJ
easat-8312	154	45	output	output	NOUN
easat-8312	154	46	layer	layer	NOUN
easat-8312	154	47	.	.	PUNCT
easat-8312	155	1	the	the	DET
easat-8312	155	2	roles	role	NOUN
easat-8312	155	3	of	of	ADP
easat-8312	155	4	these	these	DET
easat-8312	155	5	layers	layer	NOUN
easat-8312	155	6	are	be	AUX
easat-8312	155	7	as	as	SCONJ
easat-8312	155	8	follows	follow	VERB
easat-8312	155	9	:	:	PUNCT
easat-8312	155	10	data	datum	NOUN
easat-8312	155	11	input	input	NOUN
easat-8312	155	12	pooling	pool	VERB
easat-8312	155	13	convolutional	convolutional	ADJ
easat-8312	155	14	backward	backward	ADJ
easat-8312	155	15	gru	gru	PROPN
easat-8312	155	16	forward	forward	PROPN
easat-8312	155	17	gru	gru	PROPN
easat-8312	155	18	dropout	dropout	NOUN
easat-8312	155	19	layer	layer	NOUN
easat-8312	155	20	tpa	tpa	NOUN
easat-8312	155	21	mechanism	mechanism	NOUN
easat-8312	155	22	1h	1h	NUM
easat-8312	155	23	2h	2h	NUM
easat-8312	155	24	3h	3h	NUM
easat-8312	155	25	2	2	NUM
easat-8312	155	26	-	-	PUNCT
easat-8312	155	27	th	th	X
easat-8312	155	28	1	1	NUM
easat-8312	155	29	-	-	PUNCT
easat-8312	155	30	th	th	X
easat-8312	155	31	th	th	NOUN
easat-8312	155	32	tv	tv	NOUN
easat-8312	155	33	dense	dense	ADJ
easat-8312	155	34	dense	dense	ADJ
easat-8312	155	35	'	'	PUNCT
easat-8312	155	36	t	t	NOUN
easat-8312	155	37	h	h	NOUN
easat-8312	155	38	fully	fully	ADV
easat-8312	155	39	connected	connect	VERB
easat-8312	155	40	layer	layer	NOUN
easat-8312	155	41	output	output	NOUN
easat-8312	155	42	input	input	NOUN
easat-8312	155	43	layer	layer	NOUN
easat-8312	155	44	cnn	cnn	PROPN
easat-8312	155	45	layer	layer	NOUN
easat-8312	155	46	bigru	bigru	VERB
easat-8312	155	47	layer	layer	NOUN
easat-8312	155	48	tpa	tpa	NOUN
easat-8312	155	49	layer	layer	NOUN
easat-8312	155	50	output	output	NOUN
easat-8312	155	51	layer	layer	NOUN
easat-8312	155	52	figure	figure	NOUN
easat-8312	155	53	5	5	NUM
easat-8312	155	54	.	.	PUNCT
easat-8312	156	1	framework	framework	NOUN
easat-8312	156	2	of	of	ADP
easat-8312	156	3	cnn	cnn	PROPN
easat-8312	156	4	-	-	PUNCT
easat-8312	156	5	bigru	bigru	NOUN
easat-8312	156	6	-	-	PUNCT
easat-8312	156	7	tpa	tpa	NOUN
easat-8312	156	8	.	.	PUNCT
easat-8312	157	1	(	(	PUNCT
easat-8312	157	2	1	1	X
easat-8312	157	3	)	)	PUNCT
easat-8312	157	4	input	input	NOUN
easat-8312	157	5	layer	layer	NOUN
easat-8312	157	6	:	:	PUNCT
easat-8312	157	7	the	the	DET
easat-8312	157	8	model	model	NOUN
easat-8312	157	9	's	's	PART
easat-8312	157	10	input	input	NOUN
easat-8312	157	11	consists	consist	VERB
easat-8312	157	12	of	of	ADP
easat-8312	157	13	historical	historical	ADJ
easat-8312	157	14	scada	scada	PROPN
easat-8312	157	15	icing	ice	VERB
easat-8312	157	16	data	datum	NOUN
easat-8312	157	17	and	and	CCONJ
easat-8312	157	18	other	other	ADJ
easat-8312	157	19	influencing	influence	VERB
easat-8312	157	20	factors	factor	NOUN
easat-8312	157	21	.	.	PUNCT
easat-8312	158	1	2043	2043	NUM
easat-8312	158	2	edelweiss	edelweiss	PROPN
easat-8312	158	3	applied	apply	VERB
easat-8312	158	4	science	science	NOUN
easat-8312	158	5	and	and	CCONJ
easat-8312	158	6	technology	technology	NOUN
easat-8312	158	7	issn	issn	PROPN
easat-8312	158	8	:	:	PUNCT
easat-8312	158	9	2576	2576	NUM
easat-8312	158	10	-	-	SYM
easat-8312	158	11	8484	8484	NUM
easat-8312	158	12	vol	vol	NOUN
easat-8312	158	13	.	.	PROPN
easat-8312	159	1	9	9	NUM
easat-8312	159	2	,	,	PUNCT
easat-8312	159	3	no	no	INTJ
easat-8312	159	4	.	.	NOUN
easat-8312	159	5	6	6	NUM
easat-8312	159	6	:	:	SYM
easat-8312	159	7	2035	2035	NUM
easat-8312	159	8	-	-	SYM
easat-8312	159	9	2054	2054	NUM
easat-8312	159	10	,	,	PUNCT
easat-8312	159	11	2025	2025	NUM
easat-8312	159	12	doi	doi	NOUN
easat-8312	159	13	:	:	PUNCT
easat-8312	159	14	10.55214/25768484.v9i6.8312	10.55214/25768484.v9i6.8312	PROPN
easat-8312	159	15	©	©	PROPN
easat-8312	159	16	2025	2025	NUM
easat-8312	159	17	by	by	ADP
easat-8312	159	18	the	the	DET
easat-8312	159	19	authors	author	NOUN
easat-8312	159	20	;	;	PUNCT
easat-8312	159	21	licensee	licensee	PROPN
easat-8312	159	22	learning	learning	NOUN
easat-8312	159	23	gate	gate	NOUN
easat-8312	159	24	(	(	PUNCT
easat-8312	159	25	2)cnn	2)cnn	NUM
easat-8312	159	26	layer	layer	NOUN
easat-8312	159	27	:	:	PUNCT
easat-8312	159	28	this	this	DET
easat-8312	159	29	layer	layer	NOUN
easat-8312	159	30	captures	capture	VERB
easat-8312	159	31	the	the	DET
easat-8312	159	32	relationships	relationship	NOUN
easat-8312	159	33	between	between	ADP
easat-8312	159	34	input	input	NOUN
easat-8312	159	35	factors	factor	NOUN
easat-8312	159	36	and	and	CCONJ
easat-8312	159	37	current	current	ADJ
easat-8312	159	38	blade	blade	NOUN
easat-8312	159	39	icing	icing	NOUN
easat-8312	159	40	.	.	PUNCT
easat-8312	160	1	the	the	DET
easat-8312	160	2	convolutional	convolutional	ADJ
easat-8312	160	3	layers	layer	NOUN
easat-8312	160	4	identify	identify	VERB
easat-8312	160	5	feature	feature	NOUN
easat-8312	160	6	patterns	pattern	NOUN
easat-8312	160	7	,	,	PUNCT
easat-8312	160	8	while	while	SCONJ
easat-8312	160	9	the	the	DET
easat-8312	160	10	pooling	pooling	NOUN
easat-8312	160	11	layers	layer	NOUN
easat-8312	160	12	reduce	reduce	VERB
easat-8312	160	13	dimensionality	dimensionality	NOUN
easat-8312	160	14	by	by	ADP
easat-8312	160	15	selecting	select	VERB
easat-8312	160	16	key	key	ADJ
easat-8312	160	17	features	feature	NOUN
easat-8312	160	18	.	.	PUNCT
easat-8312	161	1	the	the	DET
easat-8312	161	2	processed	process	VERB
easat-8312	161	3	features	feature	NOUN
easat-8312	161	4	are	be	AUX
easat-8312	161	5	then	then	ADV
easat-8312	161	6	sent	send	VERB
easat-8312	161	7	to	to	ADP
easat-8312	161	8	the	the	DET
easat-8312	161	9	bigru	bigru	NOUN
easat-8312	161	10	layer	layer	NOUN
easat-8312	161	11	via	via	ADP
easat-8312	161	12	fully	fully	ADV
easat-8312	161	13	connected	connected	ADJ
easat-8312	161	14	layers	layer	NOUN
easat-8312	161	15	.	.	PUNCT
easat-8312	162	1	(	(	PUNCT
easat-8312	162	2	3	3	X
easat-8312	162	3	)	)	PUNCT
easat-8312	162	4	bigru	bigru	NOUN
easat-8312	162	5	layer	layer	NOUN
easat-8312	163	1	[	[	X
easat-8312	163	2	36	36	NUM
easat-8312	163	3	]	]	PUNCT
easat-8312	163	4	:	:	PUNCT
easat-8312	163	5	the	the	DET
easat-8312	163	6	bigru	bigru	NOUN
easat-8312	163	7	layer	layer	NOUN
easat-8312	163	8	captures	capture	VERB
easat-8312	163	9	temporal	temporal	ADJ
easat-8312	163	10	dependencies	dependency	NOUN
easat-8312	163	11	within	within	ADP
easat-8312	163	12	the	the	DET
easat-8312	163	13	icing	icing	NOUN
easat-8312	163	14	sequence	sequence	NOUN
easat-8312	163	15	,	,	PUNCT
easat-8312	163	16	building	build	VERB
easat-8312	163	17	a	a	DET
easat-8312	163	18	dynamic	dynamic	ADJ
easat-8312	163	19	time	time	NOUN
easat-8312	163	20	-	-	PUNCT
easat-8312	163	21	series	series	NOUN
easat-8312	163	22	model	model	NOUN
easat-8312	163	23	.	.	PUNCT
easat-8312	164	1	it	it	PRON
easat-8312	164	2	processes	process	VERB
easat-8312	164	3	bidirectional	bidirectional	ADJ
easat-8312	164	4	information	information	NOUN
easat-8312	164	5	and	and	CCONJ
easat-8312	164	6	applies	apply	VERB
easat-8312	164	7	dropout	dropout	ADJ
easat-8312	164	8	regularization	regularization	NOUN
easat-8312	164	9	to	to	PART
easat-8312	164	10	prevent	prevent	VERB
easat-8312	164	11	overfitting	overfitting	NOUN
easat-8312	164	12	.	.	PUNCT
easat-8312	165	1	the	the	DET
easat-8312	165	2	result	result	NOUN
easat-8312	165	3	is	be	AUX
easat-8312	165	4	a	a	DET
easat-8312	165	5	hidden	hidden	ADJ
easat-8312	165	6	state	state	NOUN
easat-8312	165	7	matrix	matrix	NOUN
easat-8312	165	8	h	h	NOUN
easat-8312	166	1	i	i	PRON
easat-8312	166	2	,	,	PUNCT
easat-8312	166	3	j	j	PROPN
easat-8312	166	4	=	=	PRON
easat-8312	166	5	[	[	PUNCT
easat-8312	166	6	h1	h1	NOUN
easat-8312	166	7	,	,	PUNCT
easat-8312	166	8	h2	h2	PROPN
easat-8312	166	9	,	,	PUNCT
easat-8312	166	10	...	...	PUNCT
easat-8312	166	11	,	,	PUNCT
easat-8312	166	12	ht-1	ht-1	VERB
easat-8312	166	13	,	,	PUNCT
easat-8312	166	14	ht	ht	PROPN
easat-8312	166	15	]	]	X
easat-8312	166	16	,	,	PUNCT
easat-8312	166	17	which	which	PRON
easat-8312	166	18	is	be	AUX
easat-8312	166	19	passed	pass	VERB
easat-8312	166	20	to	to	ADP
easat-8312	166	21	the	the	DET
easat-8312	166	22	tpa	tpa	NOUN
easat-8312	166	23	layer	layer	NOUN
easat-8312	166	24	.	.	PUNCT
easat-8312	167	1	(	(	PUNCT
easat-8312	167	2	4	4	X
easat-8312	167	3	)	)	PUNCT
easat-8312	167	4	tpa	tpa	NOUN
easat-8312	167	5	layer	layer	NOUN
easat-8312	167	6	:	:	PUNCT
easat-8312	167	7	the	the	DET
easat-8312	167	8	temporal	temporal	ADJ
easat-8312	167	9	pattern	pattern	NOUN
easat-8312	167	10	attention	attention	NOUN
easat-8312	167	11	mechanism(tpa	mechanism(tpa	NOUN
easat-8312	167	12	)	)	PUNCT
easat-8312	167	13	assigns	assign	VERB
easat-8312	167	14	adaptive	adaptive	ADJ
easat-8312	167	15	weights	weight	NOUN
easat-8312	167	16	to	to	ADP
easat-8312	167	17	the	the	DET
easat-8312	167	18	hidden	hide	VERB
easat-8312	167	19	states	state	NOUN
easat-8312	167	20	from	from	ADP
easat-8312	167	21	bigru	bigru	NOUN
easat-8312	167	22	,	,	PUNCT
easat-8312	167	23	selecting	select	VERB
easat-8312	167	24	and	and	CCONJ
easat-8312	167	25	emphasizing	emphasize	VERB
easat-8312	167	26	relevant	relevant	ADJ
easat-8312	167	27	features	feature	NOUN
easat-8312	167	28	.	.	PUNCT
easat-8312	168	1	the	the	DET
easat-8312	168	2	attention	attention	NOUN
easat-8312	168	3	mechanism	mechanism	NOUN
easat-8312	168	4	produces	produce	VERB
easat-8312	168	5	a	a	DET
easat-8312	168	6	comprehensive	comprehensive	ADJ
easat-8312	168	7	temporal	temporal	ADJ
easat-8312	168	8	feature	feature	NOUN
easat-8312	168	9	vector	vector	NOUN
easat-8312	168	10	ht	ht	NOUN
easat-8312	168	11	'	'	PUNCT
easat-8312	168	12	by	by	ADP
easat-8312	168	13	highlighting	highlight	VERB
easat-8312	168	14	important	important	ADJ
easat-8312	168	15	features	feature	NOUN
easat-8312	168	16	.	.	PUNCT
easat-8312	169	1	(	(	PUNCT
easat-8312	169	2	5	5	X
easat-8312	169	3	)	)	PUNCT
easat-8312	169	4	output	output	NOUN
easat-8312	169	5	layer	layer	NOUN
easat-8312	169	6	:	:	PUNCT
easat-8312	169	7	the	the	DET
easat-8312	169	8	fully	fully	ADV
easat-8312	169	9	connected	connect	VERB
easat-8312	169	10	layer	layer	NOUN
easat-8312	169	11	produces	produce	VERB
easat-8312	169	12	the	the	DET
easat-8312	169	13	predicted	predict	VERB
easat-8312	169	14	output	output	NOUN
easat-8312	169	15	,	,	PUNCT
easat-8312	169	16	indicating	indicate	VERB
easat-8312	169	17	whether	whether	SCONJ
easat-8312	169	18	blade	blade	NOUN
easat-8312	169	19	icing	icing	NOUN
easat-8312	169	20	will	will	AUX
easat-8312	169	21	occur	occur	VERB
easat-8312	169	22	in	in	ADP
easat-8312	169	23	the	the	DET
easat-8312	169	24	next	next	ADJ
easat-8312	169	25	time	time	NOUN
easat-8312	169	26	step	step	NOUN
easat-8312	169	27	.	.	PUNCT
easat-8312	170	1	3	3	X
easat-8312	170	2	.	.	X
easat-8312	170	3	experiments	experiment	NOUN
easat-8312	170	4	and	and	CCONJ
easat-8312	170	5	discussion	discussion	NOUN
easat-8312	170	6	3.1	3.1	NUM
easat-8312	170	7	.	.	PUNCT
easat-8312	171	1	data	datum	NOUN
easat-8312	171	2	description	description	NOUN
easat-8312	171	3	in	in	ADP
easat-8312	171	4	this	this	DET
easat-8312	171	5	study	study	NOUN
easat-8312	171	6	,	,	PUNCT
easat-8312	171	7	icing	ice	VERB
easat-8312	171	8	data	datum	NOUN
easat-8312	171	9	for	for	ADP
easat-8312	171	10	wind	wind	NOUN
easat-8312	171	11	turbine	turbine	NOUN
easat-8312	171	12	blades	blade	NOUN
easat-8312	171	13	was	be	AUX
easat-8312	171	14	collected	collect	VERB
easat-8312	171	15	from	from	ADP
easat-8312	171	16	a	a	DET
easat-8312	171	17	wind	wind	NOUN
easat-8312	171	18	farm	farm	NOUN
easat-8312	171	19	located	locate	VERB
easat-8312	171	20	in	in	ADP
easat-8312	171	21	hunan	hunan	PROPN
easat-8312	171	22	province	province	PROPN
easat-8312	171	23	,	,	PUNCT
easat-8312	171	24	utilizing	utilize	VERB
easat-8312	171	25	turbines	turbine	NOUN
easat-8312	171	26	manufactured	manufacture	VERB
easat-8312	171	27	by	by	ADP
easat-8312	171	28	harbin	harbin	PROPN
easat-8312	171	29	electric	electric	PROPN
easat-8312	171	30	corporation	corporation	PROPN
easat-8312	171	31	.	.	PUNCT
easat-8312	172	1	the	the	DET
easat-8312	172	2	scada	scada	PROPN
easat-8312	172	3	data	data	PROPN
easat-8312	172	4	was	be	AUX
easat-8312	172	5	recorded	record	VERB
easat-8312	172	6	from	from	ADP
easat-8312	172	7	december	december	PROPN
easat-8312	172	8	1st	1st	NOUN
easat-8312	172	9	to	to	ADP
easat-8312	172	10	december	december	PROPN
easat-8312	172	11	30th	30th	NUM
easat-8312	172	12	,	,	PUNCT
easat-8312	172	13	with	with	ADP
easat-8312	172	14	a	a	DET
easat-8312	172	15	resolution	resolution	NOUN
easat-8312	172	16	of	of	ADP
easat-8312	172	17	7	7	NUM
easat-8312	172	18	seconds	second	NOUN
easat-8312	172	19	.	.	PUNCT
easat-8312	173	1	engineers	engineer	NOUN
easat-8312	173	2	identified	identify	VERB
easat-8312	173	3	26	26	NUM
easat-8312	173	4	key	key	ADJ
easat-8312	173	5	variables	variable	NOUN
easat-8312	173	6	related	relate	VERB
easat-8312	173	7	to	to	ADP
easat-8312	173	8	blade	blade	NOUN
easat-8312	173	9	icing	ice	VERB
easat-8312	173	10	from	from	ADP
easat-8312	173	11	a	a	DET
easat-8312	173	12	scada	scada	PROPN
easat-8312	173	13	system	system	NOUN
easat-8312	173	14	with	with	ADP
easat-8312	173	15	data	datum	NOUN
easat-8312	173	16	from	from	ADP
easat-8312	173	17	hundreds	hundred	NOUN
easat-8312	173	18	of	of	ADP
easat-8312	173	19	sensors	sensor	NOUN
easat-8312	173	20	and	and	CCONJ
easat-8312	173	21	pinpointed	pinpoint	VERB
easat-8312	173	22	the	the	DET
easat-8312	173	23	times	time	NOUN
easat-8312	173	24	when	when	SCONJ
easat-8312	173	25	icing	icing	NOUN
easat-8312	173	26	occurred	occur	VERB
easat-8312	173	27	.	.	PUNCT
easat-8312	174	1	these	these	DET
easat-8312	174	2	variables	variable	NOUN
easat-8312	174	3	are	be	AUX
easat-8312	174	4	listed	list	VERB
easat-8312	174	5	in	in	ADP
easat-8312	174	6	table	table	NOUN
easat-8312	174	7	1	1	NUM
easat-8312	174	8	.	.	PUNCT
easat-8312	174	9	table	table	NOUN
easat-8312	174	10	1	1	NUM
easat-8312	174	11	.	.	PUNCT
easat-8312	174	12	partial	partial	ADJ
easat-8312	174	13	monitoring	monitoring	NOUN
easat-8312	174	14	parameter	parameter	NOUN
easat-8312	174	15	information	information	NOUN
easat-8312	174	16	of	of	ADP
easat-8312	174	17	wind	wind	NOUN
easat-8312	174	18	turbine	turbine	NOUN
easat-8312	174	19	units	unit	NOUN
easat-8312	174	20	.	.	PUNCT
easat-8312	175	1	serial	serial	ADJ
easat-8312	175	2	number	number	NOUN
easat-8312	175	3	variable	variable	NOUN
easat-8312	175	4	name	name	NOUN
easat-8312	175	5	serial	serial	ADJ
easat-8312	175	6	number	number	NOUN
easat-8312	175	7	variable	variable	ADJ
easat-8312	175	8	name	name	NOUN
easat-8312	175	9	1	1	NUM
easat-8312	175	10	wind_speed	wind_spee	VERB
easat-8312	175	11	14	14	NUM
easat-8312	175	12	pitch1_moto_tmp	pitch1_moto_tmp	NOUN
easat-8312	175	13	2	2	NUM
easat-8312	175	14	generator_speed	generator_speed	NOUN
easat-8312	175	15	15	15	NUM
easat-8312	175	16	pitch2_moto_tmp	pitch2_moto_tmp	NOUN
easat-8312	175	17	3	3	NUM
easat-8312	175	18	power(kw	power(kw	NOUN
easat-8312	175	19	)	)	PUNCT
easat-8312	175	20	16	16	NUM
easat-8312	175	21	pitch3_moto_tmp	pitch3_moto_tmp	NOUN
easat-8312	175	22	4	4	NUM
easat-8312	175	23	wind_direction	wind_direction	NOUN
easat-8312	175	24	(	(	PUNCT
easat-8312	175	25	°	°	NOUN
easat-8312	175	26	)	)	PUNCT
easat-8312	175	27	17	17	NUM
easat-8312	175	28	acc_xx	acc_xx	NUM
easat-8312	175	29	5	5	NUM
easat-8312	175	30	wind_direction_mean	wind_direction_mean	SYM
easat-8312	175	31	18	18	NUM
easat-8312	175	32	acc_yy	acc_yy	NUM
easat-8312	175	33	6	6	NUM
easat-8312	175	34	yaw_position	yaw_position	NOUN
easat-8312	175	35	19	19	NUM
easat-8312	175	36	environment_tmp	environment_tmp	NOUN
easat-8312	175	37	7	7	NUM
easat-8312	175	38	yaw_speed	yaw_speed	NOUN
easat-8312	175	39	20	20	NUM
easat-8312	175	40	int_tmp	int_tmp	NOUN
easat-8312	175	41	8	8	NUM
easat-8312	175	42	pitch1_speed	pitch1_speed	NUM
easat-8312	175	43	21	21	NUM
easat-8312	175	44	pitch1_ng5_tmp	pitch1_ng5_tmp	NOUN
easat-8312	175	45	9	9	NUM
easat-8312	175	46	pitch2_speed	pitch2_speed	NOUN
easat-8312	175	47	22	22	NUM
easat-8312	175	48	pitch2_ng5_tmp	pitch2_ng5_tmp	ADP
easat-8312	175	49	10	10	NUM
easat-8312	175	50	pitch3_speed	pitch3_speed	NUM
easat-8312	175	51	23	23	NUM
easat-8312	175	52	pitch3_ng5_tmp	pitch3_ng5_tmp	NOUN
easat-8312	175	53	11	11	NUM
easat-8312	175	54	pitch1_angle	pitch1_angle	NUM
easat-8312	175	55	24	24	NUM
easat-8312	175	56	pitch1_ng5_dc	pitch1_ng5_dc	PROPN
easat-8312	175	57	12	12	NUM
easat-8312	175	58	pitch2_angle	pitch2_angle	NOUN
easat-8312	175	59	25	25	NUM
easat-8312	175	60	pitch2_ng5_dc	pitch2_ng5_dc	NUM
easat-8312	175	61	13	13	NUM
easat-8312	175	62	pitch3_angle	pitch3_angle	PROPN
easat-8312	175	63	26	26	NUM
easat-8312	175	64	pitch3_ng5_dc	pitch3_ng5_dc	PROPN
easat-8312	175	65	3.2	3.2	NUM
easat-8312	175	66	.	.	PUNCT
easat-8312	176	1	data	datum	NOUN
easat-8312	176	2	preprocessing	preprocesse	VERB
easat-8312	176	3	the	the	DET
easat-8312	176	4	data	datum	NOUN
easat-8312	176	5	used	use	VERB
easat-8312	176	6	in	in	ADP
easat-8312	176	7	this	this	DET
easat-8312	176	8	study	study	NOUN
easat-8312	176	9	was	be	AUX
easat-8312	176	10	obtained	obtain	VERB
easat-8312	176	11	from	from	ADP
easat-8312	176	12	the	the	DET
easat-8312	176	13	scada	scada	PROPN
easat-8312	176	14	system	system	PROPN
easat-8312	176	15	,	,	PUNCT
easat-8312	176	16	which	which	PRON
easat-8312	176	17	presented	present	VERB
easat-8312	176	18	challenges	challenge	NOUN
easat-8312	176	19	such	such	ADJ
easat-8312	176	20	as	as	ADP
easat-8312	176	21	outliers	outlier	NOUN
easat-8312	176	22	,	,	PUNCT
easat-8312	176	23	redundant	redundant	ADJ
easat-8312	176	24	entries	entry	NOUN
easat-8312	176	25	,	,	PUNCT
easat-8312	176	26	and	and	CCONJ
easat-8312	176	27	missing	miss	VERB
easat-8312	176	28	values	value	NOUN
easat-8312	176	29	.	.	PUNCT
easat-8312	177	1	to	to	PART
easat-8312	177	2	prevent	prevent	VERB
easat-8312	177	3	these	these	DET
easat-8312	177	4	issues	issue	NOUN
easat-8312	177	5	from	from	ADP
easat-8312	177	6	impacting	impact	VERB
easat-8312	177	7	model	model	NOUN
easat-8312	177	8	training	training	NOUN
easat-8312	177	9	and	and	CCONJ
easat-8312	177	10	testing	testing	NOUN
easat-8312	177	11	,	,	PUNCT
easat-8312	177	12	a	a	DET
easat-8312	177	13	comprehensive	comprehensive	ADJ
easat-8312	177	14	data	data	NOUN
easat-8312	177	15	preprocessing	preprocessing	NOUN
easat-8312	177	16	procedure	procedure	NOUN
easat-8312	177	17	was	be	AUX
easat-8312	177	18	carried	carry	VERB
easat-8312	177	19	out	out	ADP
easat-8312	177	20	,	,	PUNCT
easat-8312	177	21	including	include	VERB
easat-8312	177	22	the	the	DET
easat-8312	177	23	following	following	ADJ
easat-8312	177	24	steps	step	NOUN
easat-8312	177	25	:	:	PUNCT
easat-8312	177	26	(	(	PUNCT
easat-8312	177	27	1	1	X
easat-8312	177	28	)	)	PUNCT
easat-8312	177	29	read	read	NOUN
easat-8312	177	30	and	and	CCONJ
easat-8312	177	31	preliminarily	preliminarily	ADV
easat-8312	177	32	filter	filter	NOUN
easat-8312	177	33	data	datum	NOUN
easat-8312	177	34	:	:	PUNCT
easat-8312	177	35	use	use	VERB
easat-8312	177	36	the	the	DET
easat-8312	177	37	os.listdir	os.listdir	ADJ
easat-8312	177	38	(	(	PUNCT
easat-8312	177	39	)	)	PUNCT
easat-8312	177	40	function	function	NOUN
easat-8312	177	41	to	to	PART
easat-8312	177	42	iterate	iterate	VERB
easat-8312	177	43	through	through	ADP
easat-8312	177	44	all	all	DET
easat-8312	177	45	the	the	DET
easat-8312	177	46	files	file	NOUN
easat-8312	177	47	in	in	ADP
easat-8312	177	48	the	the	DET
easat-8312	177	49	data	datum	NOUN
easat-8312	177	50	directory	directory	NOUN
easat-8312	177	51	,	,	PUNCT
easat-8312	177	52	perform	perform	VERB
easat-8312	177	53	preliminarily	preliminarily	ADV
easat-8312	177	54	filter	filter	NOUN
easat-8312	177	55	based	base	VERB
easat-8312	177	56	on	on	ADP
easat-8312	177	57	specific	specific	ADJ
easat-8312	177	58	keywords	keyword	NOUN
easat-8312	177	59	in	in	ADP
easat-8312	177	60	the	the	DET
easat-8312	177	61	file	file	NOUN
easat-8312	177	62	name	name	NOUN
easat-8312	177	63	,	,	PUNCT
easat-8312	177	64	and	and	CCONJ
easat-8312	177	65	then	then	ADV
easat-8312	177	66	read	read	VERB
easat-8312	177	67	the	the	DET
easat-8312	177	68	csv	csv	NOUN
easat-8312	177	69	file	file	NOUN
easat-8312	177	70	that	that	PRON
easat-8312	177	71	matches	match	VERB
easat-8312	177	72	the	the	DET
easat-8312	177	73	criteria	criterion	NOUN
easat-8312	177	74	.	.	PUNCT
easat-8312	178	1	(	(	PUNCT
easat-8312	178	2	2	2	X
easat-8312	178	3	)	)	PUNCT
easat-8312	178	4	data	datum	NOUN
easat-8312	178	5	labeling	labeling	NOUN
easat-8312	178	6	and	and	CCONJ
easat-8312	178	7	imputation	imputation	NOUN
easat-8312	178	8	:	:	PUNCT
easat-8312	178	9	experienced	experienced	ADJ
easat-8312	178	10	wind	wind	NOUN
easat-8312	178	11	turbine	turbine	NOUN
easat-8312	178	12	engineers	engineer	NOUN
easat-8312	178	13	labeled	label	VERB
easat-8312	178	14	all	all	DET
easat-8312	178	15	raw	raw	ADJ
easat-8312	178	16	data	datum	NOUN
easat-8312	178	17	,	,	PUNCT
easat-8312	178	18	categorizing	categorize	VERB
easat-8312	178	19	it	it	PRON
easat-8312	178	20	as	as	ADP
easat-8312	178	21	either	either	CCONJ
easat-8312	178	22	normal	normal	ADJ
easat-8312	178	23	or	or	CCONJ
easat-8312	178	24	iced	iced	ADJ
easat-8312	178	25	.	.	PUNCT
easat-8312	179	1	to	to	PART
easat-8312	179	2	ensure	ensure	VERB
easat-8312	179	3	data	datum	NOUN
easat-8312	179	4	continuity	continuity	NOUN
easat-8312	179	5	and	and	CCONJ
easat-8312	179	6	completeness	completeness	NOUN
easat-8312	179	7	,	,	PUNCT
easat-8312	179	8	missing	miss	VERB
easat-8312	179	9	values	value	NOUN
easat-8312	179	10	were	be	AUX
easat-8312	179	11	handled	handle	VERB
easat-8312	179	12	using	use	VERB
easat-8312	179	13	the	the	DET
easat-8312	179	14	fillna	fillna	ADJ
easat-8312	179	15	method	method	NOUN
easat-8312	179	16	,	,	PUNCT
easat-8312	179	17	preventing	prevent	VERB
easat-8312	179	18	gaps	gap	NOUN
easat-8312	179	19	in	in	ADP
easat-8312	179	20	the	the	DET
easat-8312	179	21	time	time	NOUN
easat-8312	179	22	series	series	NOUN
easat-8312	179	23	from	from	ADP
easat-8312	179	24	affecting	affect	VERB
easat-8312	179	25	subsequent	subsequent	ADJ
easat-8312	179	26	analysis	analysis	NOUN
easat-8312	179	27	and	and	CCONJ
easat-8312	179	28	model	model	NOUN
easat-8312	179	29	training	training	NOUN
easat-8312	179	30	.	.	PUNCT
easat-8312	180	1	2044	2044	NUM
easat-8312	180	2	edelweiss	edelweiss	PROPN
easat-8312	180	3	applied	apply	VERB
easat-8312	180	4	science	science	NOUN
easat-8312	180	5	and	and	CCONJ
easat-8312	180	6	technology	technology	NOUN
easat-8312	180	7	issn	issn	PROPN
easat-8312	180	8	:	:	PUNCT
easat-8312	180	9	2576	2576	NUM
easat-8312	180	10	-	-	SYM
easat-8312	180	11	8484	8484	NUM
easat-8312	180	12	vol	vol	NOUN
easat-8312	180	13	.	.	PROPN
easat-8312	181	1	9	9	NUM
easat-8312	181	2	,	,	PUNCT
easat-8312	181	3	no	no	INTJ
easat-8312	181	4	.	.	NOUN
easat-8312	181	5	6	6	NUM
easat-8312	181	6	:	:	SYM
easat-8312	181	7	2035	2035	NUM
easat-8312	181	8	-	-	SYM
easat-8312	181	9	2054	2054	NUM
easat-8312	181	10	,	,	PUNCT
easat-8312	181	11	2025	2025	NUM
easat-8312	181	12	doi	doi	NOUN
easat-8312	181	13	:	:	PUNCT
easat-8312	181	14	10.55214/25768484.v9i6.8312	10.55214/25768484.v9i6.8312	PROPN
easat-8312	181	15	©	©	PROPN
easat-8312	181	16	2025	2025	NUM
easat-8312	181	17	by	by	ADP
easat-8312	181	18	the	the	DET
easat-8312	181	19	authors	author	NOUN
easat-8312	181	20	;	;	PUNCT
easat-8312	181	21	licensee	licensee	PROPN
easat-8312	181	22	learning	learning	NOUN
easat-8312	181	23	gate	gate	NOUN
easat-8312	181	24	(	(	PUNCT
easat-8312	181	25	3	3	NUM
easat-8312	181	26	)	)	PUNCT
easat-8312	181	27	data	datum	NOUN
easat-8312	181	28	segmentation	segmentation	NOUN
easat-8312	181	29	and	and	CCONJ
easat-8312	181	30	normalization	normalization	NOUN
easat-8312	181	31	:	:	PUNCT
easat-8312	181	32	since	since	SCONJ
easat-8312	181	33	the	the	DET
easat-8312	181	34	scada	scada	PROPN
easat-8312	181	35	data	data	PROPN
easat-8312	181	36	is	be	AUX
easat-8312	181	37	collected	collect	VERB
easat-8312	181	38	as	as	ADP
easat-8312	181	39	time	time	NOUN
easat-8312	181	40	series	series	NOUN
easat-8312	181	41	from	from	ADP
easat-8312	181	42	sensors	sensor	NOUN
easat-8312	181	43	at	at	ADP
easat-8312	181	44	regular	regular	ADJ
easat-8312	181	45	intervals	interval	NOUN
easat-8312	181	46	,	,	PUNCT
easat-8312	181	47	normalization	normalization	NOUN
easat-8312	181	48	and	and	CCONJ
easat-8312	181	49	standardization	standardization	NOUN
easat-8312	181	50	were	be	AUX
easat-8312	181	51	applied	apply	VERB
easat-8312	181	52	to	to	PART
easat-8312	181	53	align	align	VERB
easat-8312	181	54	the	the	DET
easat-8312	181	55	data	datum	NOUN
easat-8312	181	56	with	with	ADP
easat-8312	181	57	the	the	DET
easat-8312	181	58	input	input	NOUN
easat-8312	181	59	requirements	requirement	NOUN
easat-8312	181	60	of	of	ADP
easat-8312	181	61	the	the	DET
easat-8312	181	62	cnn	cnn	PROPN
easat-8312	181	63	-	-	PUNCT
easat-8312	181	64	bigru	bigru	NOUN
easat-8312	181	65	-	-	PUNCT
easat-8312	181	66	tpa	tpa	NOUN
easat-8312	181	67	wind	wind	NOUN
easat-8312	181	68	turbine	turbine	NOUN
easat-8312	181	69	blade	blade	NOUN
easat-8312	181	70	icing	ice	VERB
easat-8312	181	71	prediction	prediction	NOUN
easat-8312	181	72	model	model	NOUN
easat-8312	181	73	.	.	PUNCT
easat-8312	182	1	first	first	ADV
easat-8312	182	2	,	,	PUNCT
easat-8312	182	3	minmax	minmax	PROPN
easat-8312	182	4	normalization	normalization	NOUN
easat-8312	182	5	was	be	AUX
easat-8312	182	6	performed	perform	VERB
easat-8312	182	7	to	to	PART
easat-8312	182	8	scale	scale	VERB
easat-8312	182	9	the	the	DET
easat-8312	182	10	feature	feature	NOUN
easat-8312	182	11	values	value	NOUN
easat-8312	182	12	within	within	ADP
easat-8312	182	13	the	the	DET
easat-8312	182	14	range	range	NOUN
easat-8312	182	15	of	of	ADP
easat-8312	182	16	0	0	NUM
easat-8312	182	17	to	to	PART
easat-8312	182	18	1	1	NUM
easat-8312	182	19	,	,	PUNCT
easat-8312	182	20	mitigating	mitigate	VERB
easat-8312	182	21	the	the	DET
easat-8312	182	22	impact	impact	NOUN
easat-8312	182	23	of	of	ADP
easat-8312	182	24	varying	vary	VERB
easat-8312	182	25	units	unit	NOUN
easat-8312	182	26	and	and	CCONJ
easat-8312	182	27	magnitudes	magnitude	NOUN
easat-8312	182	28	on	on	ADP
easat-8312	182	29	the	the	DET
easat-8312	182	30	model	model	NOUN
easat-8312	182	31	.	.	PUNCT
easat-8312	183	1	the	the	DET
easat-8312	183	2	normalized	normalize	VERB
easat-8312	183	3	time	time	NOUN
easat-8312	183	4	series	series	PROPN
easat-8312	183	5	was	be	AUX
easat-8312	183	6	then	then	ADV
easat-8312	183	7	segmented	segment	VERB
easat-8312	183	8	into	into	ADP
easat-8312	183	9	fixed	fix	VERB
easat-8312	183	10	-	-	PUNCT
easat-8312	183	11	length	length	NOUN
easat-8312	183	12	fragments	fragment	NOUN
easat-8312	183	13	(	(	PUNCT
easat-8312	183	14	500	500	NUM
easat-8312	183	15	data	data	NOUN
easat-8312	183	16	points	point	NOUN
easat-8312	183	17	)	)	PUNCT
easat-8312	183	18	suitable	suitable	ADJ
easat-8312	183	19	for	for	ADP
easat-8312	183	20	model	model	NOUN
easat-8312	183	21	input	input	NOUN
easat-8312	183	22	.	.	PUNCT
easat-8312	184	1	𝑋′	𝑋′	X
easat-8312	184	2	=	=	PUNCT
easat-8312	184	3	𝑋−𝑋min	𝑋−𝑋min	PROPN
easat-8312	184	4	𝑋max−𝑋min	𝑋max−𝑋min	X
easat-8312	184	5	(	(	PUNCT
easat-8312	184	6	14	14	NUM
easat-8312	184	7	)	)	PUNCT
easat-8312	184	8	here	here	ADV
easat-8312	184	9	,	,	PUNCT
easat-8312	184	10	x′	x′	PROPN
easat-8312	184	11	represents	represent	VERB
easat-8312	184	12	the	the	DET
easat-8312	184	13	preprocessed	preprocesse	VERB
easat-8312	184	14	feature	feature	NOUN
easat-8312	184	15	data	datum	NOUN
easat-8312	184	16	,	,	PUNCT
easat-8312	184	17	x	x	X
easat-8312	184	18	is	be	AUX
easat-8312	184	19	the	the	DET
easat-8312	184	20	raw	raw	ADJ
easat-8312	184	21	data	datum	NOUN
easat-8312	184	22	,	,	PUNCT
easat-8312	184	23	and	and	CCONJ
easat-8312	184	24	xmax	xmax	PROPN
easat-8312	184	25	and	and	CCONJ
easat-8312	184	26	xmin	xmin	PROPN
easat-8312	184	27	represent	represent	VERB
easat-8312	184	28	the	the	DET
easat-8312	184	29	maximum	maximum	ADJ
easat-8312	184	30	and	and	CCONJ
easat-8312	184	31	minimum	minimum	ADJ
easat-8312	184	32	values	value	NOUN
easat-8312	184	33	of	of	ADP
easat-8312	184	34	the	the	DET
easat-8312	184	35	feature	feature	NOUN
easat-8312	184	36	,	,	PUNCT
easat-8312	184	37	respectively	respectively	ADV
easat-8312	184	38	.	.	PUNCT
easat-8312	185	1	(	(	PUNCT
easat-8312	185	2	4	4	X
easat-8312	185	3	)	)	PUNCT
easat-8312	185	4	handling	handle	VERB
easat-8312	185	5	iced	iced	ADJ
easat-8312	185	6	data	datum	NOUN
easat-8312	185	7	:	:	PUNCT
easat-8312	185	8	in	in	ADP
easat-8312	185	9	addition	addition	NOUN
easat-8312	185	10	to	to	ADP
easat-8312	185	11	processing	process	VERB
easat-8312	185	12	the	the	DET
easat-8312	185	13	normal	normal	ADJ
easat-8312	185	14	data	datum	NOUN
easat-8312	185	15	,	,	PUNCT
easat-8312	185	16	similar	similar	ADJ
easat-8312	185	17	segmentation	segmentation	NOUN
easat-8312	185	18	and	and	CCONJ
easat-8312	185	19	normalization	normalization	NOUN
easat-8312	185	20	procedures	procedure	NOUN
easat-8312	185	21	are	be	AUX
easat-8312	185	22	applied	apply	VERB
easat-8312	185	23	to	to	ADP
easat-8312	185	24	the	the	DET
easat-8312	185	25	iced	iced	ADJ
easat-8312	185	26	data	datum	NOUN
easat-8312	185	27	.	.	PUNCT
easat-8312	186	1	failure	failure	NOUN
easat-8312	186	2	data	datum	NOUN
easat-8312	186	3	is	be	AUX
easat-8312	186	4	integrated	integrate	VERB
easat-8312	186	5	into	into	ADP
easat-8312	186	6	the	the	DET
easat-8312	186	7	overall	overall	ADJ
easat-8312	186	8	dataset	dataset	NOUN
easat-8312	186	9	by	by	ADP
easat-8312	186	10	retrieving	retrieve	VERB
easat-8312	186	11	information	information	NOUN
easat-8312	186	12	from	from	ADP
easat-8312	186	13	other	other	ADJ
easat-8312	186	14	data	datum	NOUN
easat-8312	186	15	sources	source	NOUN
easat-8312	186	16	and	and	CCONJ
easat-8312	186	17	applying	apply	VERB
easat-8312	186	18	the	the	DET
easat-8312	186	19	same	same	ADJ
easat-8312	186	20	preprocessing	preprocessing	NOUN
easat-8312	186	21	techniques	technique	NOUN
easat-8312	186	22	.	.	PUNCT
easat-8312	187	1	3.3	3.3	NUM
easat-8312	187	2	.	.	PUNCT
easat-8312	187	3	evaluation	evaluation	NOUN
easat-8312	187	4	metrics	metric	NOUN
easat-8312	187	5	this	this	DET
easat-8312	187	6	study	study	NOUN
easat-8312	187	7	evaluates	evaluate	VERB
easat-8312	187	8	the	the	DET
easat-8312	187	9	proposed	propose	VERB
easat-8312	187	10	model	model	NOUN
easat-8312	187	11	using	use	VERB
easat-8312	187	12	imbalanced	imbalanced	ADJ
easat-8312	187	13	data	datum	NOUN
easat-8312	187	14	,	,	PUNCT
easat-8312	187	15	where	where	SCONJ
easat-8312	187	16	the	the	DET
easat-8312	187	17	number	number	NOUN
easat-8312	187	18	of	of	ADP
easat-8312	187	19	abnormal	abnormal	ADJ
easat-8312	187	20	(	(	PUNCT
easat-8312	187	21	icing	icing	NOUN
easat-8312	187	22	)	)	PUNCT
easat-8312	187	23	samples	sample	NOUN
easat-8312	187	24	is	be	AUX
easat-8312	187	25	much	much	ADV
easat-8312	187	26	smaller	small	ADJ
easat-8312	187	27	than	than	ADP
easat-8312	187	28	the	the	DET
easat-8312	187	29	number	number	NOUN
easat-8312	187	30	of	of	ADP
easat-8312	187	31	normal	normal	ADJ
easat-8312	187	32	(	(	PUNCT
easat-8312	187	33	non	non	ADJ
easat-8312	187	34	-	-	ADJ
easat-8312	187	35	icing	icing	ADJ
easat-8312	187	36	)	)	PUNCT
easat-8312	187	37	samples	sample	NOUN
easat-8312	187	38	.	.	PUNCT
easat-8312	188	1	this	this	DET
easat-8312	188	2	imbalance	imbalance	NOUN
easat-8312	188	3	can	can	AUX
easat-8312	188	4	inflate	inflate	VERB
easat-8312	188	5	the	the	DET
easat-8312	188	6	precision	precision	NOUN
easat-8312	188	7	score	score	NOUN
easat-8312	188	8	,	,	PUNCT
easat-8312	188	9	making	make	VERB
easat-8312	188	10	it	it	PRON
easat-8312	188	11	unsuitable	unsuitable	ADJ
easat-8312	188	12	for	for	ADP
easat-8312	188	13	accurate	accurate	ADJ
easat-8312	188	14	model	model	NOUN
easat-8312	188	15	assessment	assessment	NOUN
easat-8312	188	16	.	.	PUNCT
easat-8312	189	1	given	give	VERB
easat-8312	189	2	the	the	DET
easat-8312	189	3	focus	focus	NOUN
easat-8312	189	4	on	on	ADP
easat-8312	189	5	wind	wind	NOUN
easat-8312	189	6	turbine	turbine	NOUN
easat-8312	189	7	blade	blade	NOUN
easat-8312	189	8	icing	icing	NOUN
easat-8312	189	9	,	,	PUNCT
easat-8312	189	10	with	with	ADP
easat-8312	189	11	icing	icing	NOUN
easat-8312	189	12	and	and	CCONJ
easat-8312	189	13	non	non	ADJ
easat-8312	189	14	-	-	ADJ
easat-8312	189	15	icing	icing	ADJ
easat-8312	189	16	conditions	condition	NOUN
easat-8312	189	17	treated	treat	VERB
easat-8312	189	18	as	as	ADP
easat-8312	189	19	positive	positive	ADJ
easat-8312	189	20	and	and	CCONJ
easat-8312	189	21	negative	negative	ADJ
easat-8312	189	22	samples	sample	NOUN
easat-8312	189	23	,	,	PUNCT
easat-8312	189	24	respectively	respectively	ADV
easat-8312	189	25	,	,	PUNCT
easat-8312	189	26	the	the	DET
easat-8312	189	27	paper	paper	NOUN
easat-8312	189	28	uses	use	VERB
easat-8312	189	29	precision	precision	NOUN
easat-8312	189	30	,	,	PUNCT
easat-8312	189	31	recall	recall	NOUN
easat-8312	189	32	,	,	PUNCT
easat-8312	189	33	f1	f1	NOUN
easat-8312	189	34	-	-	PUNCT
easat-8312	189	35	score	score	NOUN
easat-8312	189	36	,	,	PUNCT
easat-8312	189	37	and	and	CCONJ
easat-8312	189	38	the	the	DET
easat-8312	189	39	matthews	matthews	PROPN
easat-8312	189	40	correlation	correlation	NOUN
easat-8312	189	41	coefficient	coefficient	NOUN
easat-8312	189	42	(	(	PUNCT
easat-8312	189	43	mcc	mcc	NOUN
easat-8312	189	44	)	)	PUNCT
easat-8312	189	45	as	as	ADP
easat-8312	189	46	performance	performance	NOUN
easat-8312	189	47	metrics	metric	NOUN
easat-8312	189	48	.	.	PUNCT
easat-8312	190	1	the	the	DET
easat-8312	190	2	definitions	definition	NOUN
easat-8312	190	3	of	of	ADP
easat-8312	190	4	these	these	DET
easat-8312	190	5	metrics	metric	NOUN
easat-8312	190	6	are	be	AUX
easat-8312	190	7	as	as	SCONJ
easat-8312	190	8	follows	follow	VERB
easat-8312	190	9	:	:	PUNCT
easat-8312	190	10	𝑃𝑟	𝑃𝑟	PROPN
easat-8312	190	11	𝑒	𝑒	PROPN
easat-8312	190	12	𝑐𝑖𝑠𝑖𝑜𝑛	𝑐𝑖𝑠𝑖𝑜𝑛	NOUN
easat-8312	190	13	=	=	PUNCT
easat-8312	190	14	𝑇𝑃	𝑇𝑃	PROPN
easat-8312	190	15	𝑇𝑃+𝐹𝑃	𝑇𝑃+𝐹𝑃	NUM
easat-8312	190	16	(	(	PUNCT
easat-8312	190	17	15	15	NUM
easat-8312	190	18	)	)	PUNCT
easat-8312	190	19	𝑅ecall=	𝑅ecall=	NOUN
easat-8312	190	20	𝑇𝑃	𝑇𝑃	NOUN
easat-8312	190	21	𝑇𝑃+𝐹𝑁	𝑇𝑃+𝐹𝑁	NOUN
easat-8312	190	22	(	(	PUNCT
easat-8312	190	23	16	16	NUM
easat-8312	190	24	)	)	PUNCT
easat-8312	190	25	𝐹1	𝐹1	NOUN
easat-8312	190	26	=	=	NOUN
easat-8312	190	27	2×𝑃𝑟	2×𝑃𝑟	NUM
easat-8312	190	28	𝑒𝑐𝑖𝑠𝑖𝑜𝑛×𝑅𝑒	𝑒𝑐𝑖𝑠𝑖𝑜𝑛×𝑅𝑒	NOUN
easat-8312	190	29	𝑐𝑎𝑙𝑙	𝑐𝑎𝑙𝑙	X
easat-8312	191	1	𝑃𝑟	𝑃𝑟	PROPN
easat-8312	191	2	𝑒𝑐𝑖𝑠𝑖𝑜𝑛+𝑅𝑒	𝑒𝑐𝑖𝑠𝑖𝑜𝑛+𝑅𝑒	ADJ
easat-8312	191	3	𝑐𝑎𝑙𝑙	𝑐𝑎𝑙𝑙	X
easat-8312	191	4	(	(	PUNCT
easat-8312	191	5	17	17	NUM
easat-8312	191	6	)	)	PUNCT
easat-8312	191	7	acc=	acc=	VERB
easat-8312	191	8	tp+tn	tp+tn	ADJ
easat-8312	191	9	tp+fp+tn+fn	tp+fp+tn+fn	PROPN
easat-8312	191	10	(	(	PUNCT
easat-8312	191	11	18	18	NUM
easat-8312	191	12	)	)	PUNCT
easat-8312	191	13	𝑀𝐶𝐶	𝑀𝐶𝐶	NOUN
easat-8312	191	14	=	=	SYM
easat-8312	191	15	𝑇𝑃×𝑇𝑁−𝐹𝑃×𝐹𝑁	𝑇𝑃×𝑇𝑁−𝐹𝑃×𝐹𝑁	NOUN
easat-8312	191	16	(	(	PUNCT
easat-8312	191	17	𝑇𝑃+𝐹𝑃)(𝑇𝑃+𝐹𝑁)(𝑇𝑁+𝐹𝑃)(𝑇𝑁+𝐹𝑁	𝑇𝑃+𝐹𝑃)(𝑇𝑃+𝐹𝑁)(𝑇𝑁+𝐹𝑃)(𝑇𝑁+𝐹𝑁	NOUN
easat-8312	191	18	)	)	PUNCT
easat-8312	191	19	(	(	PUNCT
easat-8312	191	20	19	19	NUM
easat-8312	191	21	)	)	PUNCT
easat-8312	191	22	where	where	SCONJ
easat-8312	191	23	tp	tp	NOUN
easat-8312	191	24	,	,	PUNCT
easat-8312	191	25	fp	fp	INTJ
easat-8312	191	26	,	,	PUNCT
easat-8312	191	27	fn	fn	NOUN
easat-8312	191	28	,	,	PUNCT
easat-8312	191	29	and	and	CCONJ
easat-8312	191	30	tn	tn	NOUN
easat-8312	191	31	represent	represent	VERB
easat-8312	191	32	true	true	ADJ
easat-8312	191	33	positives	positive	NOUN
easat-8312	191	34	,	,	PUNCT
easat-8312	191	35	false	false	ADJ
easat-8312	191	36	positives	positive	NOUN
easat-8312	191	37	,	,	PUNCT
easat-8312	191	38	false	false	ADJ
easat-8312	191	39	negatives	negative	NOUN
easat-8312	191	40	,	,	PUNCT
easat-8312	191	41	and	and	CCONJ
easat-8312	191	42	true	true	ADJ
easat-8312	191	43	negatives	negative	NOUN
easat-8312	191	44	,	,	PUNCT
easat-8312	191	45	respectively	respectively	ADV
easat-8312	191	46	.	.	PUNCT
easat-8312	192	1	3.4	3.4	NUM
easat-8312	192	2	.	.	PUNCT
easat-8312	192	3	experimental	experimental	ADJ
easat-8312	192	4	environment	environment	NOUN
easat-8312	192	5	this	this	DET
easat-8312	192	6	experiment	experiment	NOUN
easat-8312	192	7	was	be	AUX
easat-8312	192	8	performed	perform	VERB
easat-8312	192	9	in	in	ADP
easat-8312	192	10	a	a	DET
easat-8312	192	11	computing	compute	VERB
easat-8312	192	12	environment	environment	NOUN
easat-8312	192	13	with	with	ADP
easat-8312	192	14	the	the	DET
easat-8312	192	15	following	follow	VERB
easat-8312	192	16	table	table	NOUN
easat-8312	192	17	2	2	NUM
easat-8312	192	18	:	:	PUNCT
easat-8312	192	19	table	table	NOUN
easat-8312	192	20	2	2	NUM
easat-8312	192	21	.	.	PUNCT
easat-8312	192	22	experimental	experimental	ADJ
easat-8312	192	23	environment	environment	NOUN
easat-8312	192	24	.	.	PUNCT
easat-8312	193	1	hardware	hardware	NOUN
easat-8312	193	2	configuration	configuration	NOUN
easat-8312	193	3	software	software	NOUN
easat-8312	193	4	configuration	configuration	NOUN
easat-8312	193	5	(	(	PUNCT
easat-8312	193	6	1)cpu	1)cpu	NUM
easat-8312	193	7	:	:	PUNCT
easat-8312	193	8	intel64	intel64	PROPN
easat-8312	193	9	family	family	NOUN
easat-8312	193	10	6	6	NUM
easat-8312	193	11	model	model	NOUN
easat-8312	193	12	186	186	NUM
easat-8312	193	13	stepping	step	VERB
easat-8312	193	14	2	2	NUM
easat-8312	193	15	,	,	PUNCT
easat-8312	193	16	genuineintel	genuineintel	NOUN
easat-8312	193	17	(	(	PUNCT
easat-8312	193	18	2)memory	2)memory	NUM
easat-8312	193	19	:	:	PUNCT
easat-8312	193	20	31.65	31.65	NUM
easat-8312	193	21	gb	gb	NOUN
easat-8312	193	22	ram	ram	NOUN
easat-8312	193	23	(	(	PUNCT
easat-8312	193	24	3)storage	3)storage	NUM
easat-8312	193	25	:	:	PUNCT
easat-8312	193	26	302.60	302.60	NUM
easat-8312	193	27	gb	gb	ADP
easat-8312	193	28	(	(	PUNCT
easat-8312	193	29	1)operating	1)operating	NUM
easat-8312	193	30	system	system	NOUN
easat-8312	193	31	:	:	PUNCT
easat-8312	193	32	windows	window	VERB
easat-8312	193	33	10	10	NUM
easat-8312	193	34	10.0.22631	10.0.22631	PROPN
easat-8312	193	35	sp0	sp0	ADV
easat-8312	193	36	(	(	PUNCT
easat-8312	193	37	2)programming	2)programming	NUM
easat-8312	193	38	language	language	NOUN
easat-8312	193	39	:	:	PUNCT
easat-8312	193	40	python	python	NOUN
easat-8312	193	41	3.8	3.8	NUM
easat-8312	193	42	(	(	PUNCT
easat-8312	193	43	3)deep	3)deep	NUM
easat-8312	193	44	learning	learning	NOUN
easat-8312	193	45	framework	framework	NOUN
easat-8312	193	46	:	:	PUNCT
easat-8312	193	47	pytorch	pytorch	NOUN
easat-8312	193	48	1.8.1	1.8.1	NUM
easat-8312	193	49	4	4	NUM
easat-8312	193	50	.	.	PUNCT
easat-8312	193	51	case	case	NOUN
easat-8312	193	52	study	study	NOUN
easat-8312	193	53	4.1	4.1	NUM
easat-8312	193	54	.	.	PUNCT
easat-8312	194	1	data	datum	NOUN
easat-8312	194	2	description	description	NOUN
easat-8312	194	3	4.1.1	4.1.1	NUM
easat-8312	194	4	.	.	PUNCT
easat-8312	195	1	lstm	lstm	NOUN
easat-8312	195	2	and	and	CCONJ
easat-8312	195	3	bilstm	bilstm	VERB
easat-8312	195	4	the	the	DET
easat-8312	195	5	lstm	lstm	PROPN
easat-8312	195	6	model	model	NOUN
easat-8312	195	7	was	be	AUX
easat-8312	195	8	used	use	VERB
easat-8312	195	9	to	to	PART
easat-8312	195	10	capture	capture	VERB
easat-8312	195	11	unidirectional	unidirectional	ADJ
easat-8312	195	12	temporal	temporal	ADJ
easat-8312	195	13	features	feature	NOUN
easat-8312	195	14	for	for	ADP
easat-8312	195	15	diagnosing	diagnose	VERB
easat-8312	195	16	wind	wind	NOUN
easat-8312	195	17	turbine	turbine	NOUN
easat-8312	195	18	blade	blade	NOUN
easat-8312	195	19	icing	icing	NOUN
easat-8312	195	20	,	,	PUNCT
easat-8312	195	21	while	while	SCONJ
easat-8312	195	22	the	the	DET
easat-8312	195	23	bilstm	bilstm	NOUN
easat-8312	195	24	model	model	NOUN
easat-8312	195	25	extracted	extract	VERB
easat-8312	195	26	both	both	CCONJ
easat-8312	195	27	forward	forward	ADV
easat-8312	195	28	and	and	CCONJ
easat-8312	195	29	backward	backward	ADJ
easat-8312	195	30	temporal	temporal	ADJ
easat-8312	195	31	information	information	NOUN
easat-8312	195	32	,	,	PUNCT
easat-8312	195	33	improving	improve	VERB
easat-8312	195	34	the	the	DET
easat-8312	195	35	overall	overall	ADJ
easat-8312	195	36	understanding	understanding	NOUN
easat-8312	195	37	of	of	ADP
easat-8312	195	38	blade	blade	NOUN
easat-8312	195	39	conditions	condition	NOUN
easat-8312	195	40	.	.	PUNCT
easat-8312	196	1	both	both	DET
easat-8312	196	2	models	model	NOUN
easat-8312	196	3	analyzed	analyze	VERB
easat-8312	196	4	and	and	CCONJ
easat-8312	196	5	classified	classified	ADJ
easat-8312	196	6	icing	ice	VERB
easat-8312	196	7	states	state	NOUN
easat-8312	196	8	using	use	VERB
easat-8312	196	9	a	a	DET
easat-8312	196	10	cross	cross	ADJ
easat-8312	196	11	-	-	ADJ
easat-8312	196	12	entropy	entropy	ADJ
easat-8312	196	13	loss	loss	NOUN
easat-8312	196	14	function	function	NOUN
easat-8312	196	15	(	(	PUNCT
easat-8312	196	16	which	which	PRON
easat-8312	196	17	implicitly	implicitly	ADV
easat-8312	196	18	included	include	VERB
easat-8312	196	19	a	a	DET
easat-8312	196	20	softmax	softmax	NOUN
easat-8312	196	21	classifier	classifier	NOUN
easat-8312	196	22	)	)	PUNCT
easat-8312	196	23	.	.	PUNCT
easat-8312	197	1	2045	2045	NUM
easat-8312	197	2	edelweiss	edelweiss	PROPN
easat-8312	197	3	applied	apply	VERB
easat-8312	197	4	science	science	NOUN
easat-8312	197	5	and	and	CCONJ
easat-8312	197	6	technology	technology	NOUN
easat-8312	197	7	issn	issn	PROPN
easat-8312	197	8	:	:	PUNCT
easat-8312	197	9	2576	2576	NUM
easat-8312	197	10	-	-	SYM
easat-8312	197	11	8484	8484	NUM
easat-8312	197	12	vol	vol	NOUN
easat-8312	197	13	.	.	PROPN
easat-8312	198	1	9	9	NUM
easat-8312	198	2	,	,	PUNCT
easat-8312	198	3	no	no	INTJ
easat-8312	198	4	.	.	NOUN
easat-8312	198	5	6	6	NUM
easat-8312	198	6	:	:	SYM
easat-8312	198	7	2035	2035	NUM
easat-8312	198	8	-	-	SYM
easat-8312	198	9	2054	2054	NUM
easat-8312	198	10	,	,	PUNCT
easat-8312	198	11	2025	2025	NUM
easat-8312	198	12	doi	doi	NOUN
easat-8312	198	13	:	:	PUNCT
easat-8312	198	14	10.55214/25768484.v9i6.8312	10.55214/25768484.v9i6.8312	PROPN
easat-8312	198	15	©	©	PROPN
easat-8312	198	16	2025	2025	NUM
easat-8312	198	17	by	by	ADP
easat-8312	198	18	the	the	DET
easat-8312	198	19	authors	author	NOUN
easat-8312	198	20	;	;	PUNCT
easat-8312	198	21	licensee	licensee	PROPN
easat-8312	198	22	learning	learn	VERB
easat-8312	198	23	gate	gate	PROPN
easat-8312	198	24	4.1.2	4.1.2	PROPN
easat-8312	198	25	.	.	PROPN
easat-8312	198	26	gru	gru	PROPN
easat-8312	198	27	and	and	CCONJ
easat-8312	198	28	bigru	bigru	VERB
easat-8312	198	29	the	the	DET
easat-8312	198	30	gru	gru	NOUN
easat-8312	198	31	model	model	NOUN
easat-8312	198	32	was	be	AUX
easat-8312	198	33	used	use	VERB
easat-8312	198	34	to	to	PART
easat-8312	198	35	capture	capture	VERB
easat-8312	198	36	unidirectional	unidirectional	ADJ
easat-8312	198	37	temporal	temporal	ADJ
easat-8312	198	38	features	feature	NOUN
easat-8312	198	39	in	in	ADP
easat-8312	198	40	wind	wind	NOUN
easat-8312	198	41	turbine	turbine	NOUN
easat-8312	198	42	blade	blade	NOUN
easat-8312	198	43	icing	ice	VERB
easat-8312	198	44	diagnosis	diagnosis	NOUN
easat-8312	198	45	,	,	PUNCT
easat-8312	198	46	as	as	SCONJ
easat-8312	198	47	shown	show	VERB
easat-8312	198	48	in	in	ADP
easat-8312	198	49	section	section	NOUN
easat-8312	198	50	2.2	2.2	NUM
easat-8312	198	51	.	.	PUNCT
easat-8312	199	1	bigru	bigru	NOUN
easat-8312	199	2	,	,	PUNCT
easat-8312	199	3	on	on	ADP
easat-8312	199	4	the	the	DET
easat-8312	199	5	other	other	ADJ
easat-8312	199	6	hand	hand	NOUN
easat-8312	199	7	,	,	PUNCT
easat-8312	199	8	uses	use	VERB
easat-8312	199	9	a	a	DET
easat-8312	199	10	bidirectional	bidirectional	ADJ
easat-8312	199	11	structure	structure	NOUN
easat-8312	199	12	to	to	PART
easat-8312	199	13	extract	extract	VERB
easat-8312	199	14	both	both	CCONJ
easat-8312	199	15	forward	forward	ADJ
easat-8312	199	16	and	and	CCONJ
easat-8312	199	17	backward	backward	ADJ
easat-8312	199	18	temporal	temporal	ADJ
easat-8312	199	19	information	information	NOUN
easat-8312	199	20	simultaneously	simultaneously	ADV
easat-8312	199	21	,	,	PUNCT
easat-8312	199	22	as	as	SCONJ
easat-8312	199	23	shown	show	VERB
easat-8312	199	24	in	in	ADP
easat-8312	199	25	section	section	NOUN
easat-8312	199	26	2.3	2.3	NUM
easat-8312	199	27	,	,	PUNCT
easat-8312	199	28	enhancing	enhance	VERB
easat-8312	199	29	the	the	DET
easat-8312	199	30	overall	overall	ADJ
easat-8312	199	31	understanding	understanding	NOUN
easat-8312	199	32	of	of	ADP
easat-8312	199	33	blade	blade	NOUN
easat-8312	199	34	conditions	condition	NOUN
easat-8312	199	35	.	.	PUNCT
easat-8312	200	1	both	both	DET
easat-8312	200	2	models	model	NOUN
easat-8312	200	3	incorporated	incorporate	VERB
easat-8312	200	4	a	a	DET
easat-8312	200	5	temporal	temporal	ADJ
easat-8312	200	6	attention	attention	NOUN
easat-8312	200	7	mechanism	mechanism	NOUN
easat-8312	200	8	to	to	PART
easat-8312	200	9	focus	focus	VERB
easat-8312	200	10	on	on	ADP
easat-8312	200	11	key	key	ADJ
easat-8312	200	12	time	time	NOUN
easat-8312	200	13	steps	step	NOUN
easat-8312	200	14	and	and	CCONJ
easat-8312	200	15	analyze	analyze	VERB
easat-8312	200	16	icing	ice	VERB
easat-8312	200	17	states	state	NOUN
easat-8312	200	18	using	use	VERB
easat-8312	200	19	a	a	DET
easat-8312	200	20	cross	cross	ADJ
easat-8312	200	21	-	-	ADJ
easat-8312	200	22	entropy	entropy	ADJ
easat-8312	200	23	loss	loss	NOUN
easat-8312	200	24	function	function	NOUN
easat-8312	200	25	(	(	PUNCT
easat-8312	200	26	which	which	PRON
easat-8312	200	27	implicitly	implicitly	ADV
easat-8312	200	28	included	include	VERB
easat-8312	200	29	a	a	DET
easat-8312	200	30	softmax	softmax	NOUN
easat-8312	200	31	classifier	classifier	NOUN
easat-8312	200	32	)	)	PUNCT
easat-8312	200	33	.	.	PUNCT
easat-8312	201	1	4.1.3	4.1.3	X
easat-8312	201	2	.	.	X
easat-8312	201	3	cnn	cnn	PROPN
easat-8312	201	4	and	and	CCONJ
easat-8312	201	5	cnn	cnn	PROPN
easat-8312	201	6	-	-	PUNCT
easat-8312	201	7	bigru	bigru	NOUN
easat-8312	201	8	-	-	PUNCT
easat-8312	201	9	tpa	tpa	VERB
easat-8312	201	10	a	a	DET
easat-8312	201	11	cnn	cnn	NOUN
easat-8312	201	12	layer	layer	NOUN
easat-8312	201	13	and	and	CCONJ
easat-8312	201	14	the	the	DET
easat-8312	201	15	cnn	cnn	PROPN
easat-8312	201	16	-	-	PUNCT
easat-8312	201	17	bigru	bigru	NOUN
easat-8312	201	18	-	-	PUNCT
easat-8312	201	19	tpa	tpa	NOUN
easat-8312	201	20	model	model	NOUN
easat-8312	201	21	were	be	AUX
easat-8312	201	22	used	use	VERB
easat-8312	201	23	with	with	ADP
easat-8312	201	24	the	the	DET
easat-8312	201	25	parameters	parameter	NOUN
easat-8312	201	26	and	and	CCONJ
easat-8312	201	27	structure	structure	NOUN
easat-8312	201	28	described	describe	VERB
easat-8312	201	29	in	in	ADP
easat-8312	201	30	section	section	NOUN
easat-8312	201	31	2.1	2.1	NUM
easat-8312	201	32	and	and	CCONJ
easat-8312	201	33	2.5	2.5	NUM
easat-8312	201	34	.	.	PUNCT
easat-8312	202	1	4.2	4.2	NUM
easat-8312	202	2	.	.	PUNCT
easat-8312	203	1	baseline	baseline	PROPN
easat-8312	203	2	comparison	comparison	NOUN
easat-8312	203	3	to	to	PART
easat-8312	203	4	determine	determine	VERB
easat-8312	203	5	the	the	DET
easat-8312	203	6	optimal	optimal	ADJ
easat-8312	203	7	model	model	NOUN
easat-8312	203	8	parameters	parameter	NOUN
easat-8312	203	9	,	,	PUNCT
easat-8312	203	10	a	a	DET
easat-8312	203	11	controlled	control	VERB
easat-8312	203	12	variable	variable	ADJ
easat-8312	203	13	method	method	NOUN
easat-8312	203	14	was	be	AUX
easat-8312	203	15	used	use	VERB
easat-8312	203	16	to	to	PART
easat-8312	203	17	gradually	gradually	ADV
easat-8312	203	18	adjust	adjust	VERB
easat-8312	203	19	and	and	CCONJ
easat-8312	203	20	refine	refine	VERB
easat-8312	203	21	the	the	DET
easat-8312	203	22	hyperparameters	hyperparameter	NOUN
easat-8312	203	23	.	.	PUNCT
easat-8312	204	1	initially	initially	ADV
easat-8312	204	2	,	,	PUNCT
easat-8312	204	3	the	the	DET
easat-8312	204	4	model	model	NOUN
easat-8312	204	5	was	be	AUX
easat-8312	204	6	set	set	VERB
easat-8312	204	7	with	with	ADP
easat-8312	204	8	100	100	NUM
easat-8312	204	9	training	training	NOUN
easat-8312	204	10	epochs	epoch	NOUN
easat-8312	204	11	,	,	PUNCT
easat-8312	204	12	a	a	DET
easat-8312	204	13	batch	batch	NOUN
easat-8312	204	14	size	size	NOUN
easat-8312	204	15	of	of	ADP
easat-8312	204	16	100	100	NUM
easat-8312	204	17	,	,	PUNCT
easat-8312	204	18	a	a	DET
easat-8312	204	19	learning	learning	NOUN
easat-8312	204	20	rate	rate	NOUN
easat-8312	204	21	of	of	ADP
easat-8312	204	22	0.001	0.001	NUM
easat-8312	204	23	,	,	PUNCT
easat-8312	204	24	and	and	CCONJ
easat-8312	204	25	100	100	NUM
easat-8312	204	26	hidden	hide	VERB
easat-8312	204	27	units	unit	NOUN
easat-8312	204	28	for	for	ADP
easat-8312	204	29	bigru	bigru	NOUN
easat-8312	204	30	.	.	PUNCT
easat-8312	205	1	the	the	DET
easat-8312	205	2	convolutional	convolutional	ADJ
easat-8312	205	3	kernel	kernel	NOUN
easat-8312	205	4	size	size	NOUN
easat-8312	205	5	and	and	CCONJ
easat-8312	205	6	the	the	DET
easat-8312	205	7	number	number	NOUN
easat-8312	205	8	of	of	ADP
easat-8312	205	9	filters	filter	NOUN
easat-8312	205	10	in	in	ADP
easat-8312	205	11	the	the	DET
easat-8312	205	12	cnn	cnn	PROPN
easat-8312	205	13	were	be	AUX
easat-8312	205	14	then	then	ADV
easat-8312	205	15	adjusted	adjust	VERB
easat-8312	205	16	.	.	PUNCT
easat-8312	206	1	the	the	DET
easat-8312	206	2	results	result	NOUN
easat-8312	206	3	showed	show	VERB
easat-8312	206	4	that	that	SCONJ
easat-8312	206	5	when	when	SCONJ
easat-8312	206	6	the	the	DET
easat-8312	206	7	kernel	kernel	PROPN
easat-8312	206	8	size	size	NOUN
easat-8312	206	9	was	be	AUX
easat-8312	206	10	3	3	NUM
easat-8312	206	11	and	and	CCONJ
easat-8312	206	12	the	the	DET
easat-8312	206	13	number	number	NOUN
easat-8312	206	14	of	of	ADP
easat-8312	206	15	filters	filter	NOUN
easat-8312	206	16	was	be	AUX
easat-8312	206	17	32	32	NUM
easat-8312	206	18	,	,	PUNCT
easat-8312	206	19	the	the	DET
easat-8312	206	20	model	model	NOUN
easat-8312	206	21	's	's	PART
easat-8312	206	22	precision	precision	NOUN
easat-8312	206	23	and	and	CCONJ
easat-8312	206	24	accuracy	accuracy	NOUN
easat-8312	206	25	were	be	AUX
easat-8312	206	26	relatively	relatively	ADV
easat-8312	206	27	low	low	ADJ
easat-8312	206	28	.	.	PUNCT
easat-8312	207	1	the	the	DET
easat-8312	207	2	performance	performance	NOUN
easat-8312	207	3	of	of	ADP
easat-8312	207	4	the	the	DET
easat-8312	207	5	cnn	cnn	PROPN
easat-8312	207	6	with	with	ADP
easat-8312	207	7	2	2	NUM
easat-8312	207	8	and	and	CCONJ
easat-8312	207	9	3	3	NUM
easat-8312	207	10	layers	layer	NOUN
easat-8312	207	11	was	be	AUX
easat-8312	207	12	also	also	ADV
easat-8312	207	13	tested	test	VERB
easat-8312	207	14	,	,	PUNCT
easat-8312	207	15	but	but	CCONJ
easat-8312	207	16	adding	add	VERB
easat-8312	207	17	more	more	ADJ
easat-8312	207	18	layers	layer	NOUN
easat-8312	207	19	did	do	AUX
easat-8312	207	20	not	not	PART
easat-8312	207	21	enhance	enhance	VERB
easat-8312	207	22	prediction	prediction	NOUN
easat-8312	207	23	accuracy	accuracy	NOUN
easat-8312	207	24	,	,	PUNCT
easat-8312	207	25	so	so	CCONJ
easat-8312	207	26	a	a	DET
easat-8312	207	27	single	single	ADJ
easat-8312	207	28	-	-	PUNCT
easat-8312	207	29	layer	layer	NOUN
easat-8312	207	30	cnn	cnn	PROPN
easat-8312	207	31	was	be	AUX
easat-8312	207	32	selected	select	VERB
easat-8312	207	33	.	.	PUNCT
easat-8312	208	1	after	after	ADP
easat-8312	208	2	determining	determine	VERB
easat-8312	208	3	the	the	DET
easat-8312	208	4	parameters	parameter	NOUN
easat-8312	208	5	for	for	ADP
easat-8312	208	6	the	the	DET
easat-8312	208	7	cnn	cnn	PROPN
easat-8312	208	8	layer	layer	NOUN
easat-8312	208	9	,	,	PUNCT
easat-8312	208	10	the	the	DET
easat-8312	208	11	hidden	hidden	ADJ
easat-8312	208	12	units	unit	NOUN
easat-8312	208	13	and	and	CCONJ
easat-8312	208	14	number	number	NOUN
easat-8312	208	15	of	of	ADP
easat-8312	208	16	layers	layer	NOUN
easat-8312	208	17	for	for	ADP
easat-8312	208	18	the	the	DET
easat-8312	208	19	bigru	bigru	NOUN
easat-8312	208	20	were	be	AUX
easat-8312	208	21	optimized	optimize	VERB
easat-8312	208	22	.	.	PUNCT
easat-8312	209	1	it	it	PRON
easat-8312	209	2	was	be	AUX
easat-8312	209	3	found	find	VERB
easat-8312	209	4	that	that	SCONJ
easat-8312	209	5	setting	set	VERB
easat-8312	209	6	the	the	DET
easat-8312	209	7	hidden	hide	VERB
easat-8312	209	8	units	unit	NOUN
easat-8312	209	9	to	to	ADP
easat-8312	209	10	64	64	NUM
easat-8312	209	11	and	and	CCONJ
easat-8312	209	12	using	use	VERB
easat-8312	209	13	1	1	NUM
easat-8312	209	14	bigru	bigru	NOUN
easat-8312	209	15	layer	layer	NOUN
easat-8312	209	16	minimized	minimize	VERB
easat-8312	209	17	the	the	DET
easat-8312	209	18	prediction	prediction	NOUN
easat-8312	209	19	error	error	NOUN
easat-8312	209	20	.	.	PUNCT
easat-8312	210	1	next	next	ADV
easat-8312	210	2	,	,	PUNCT
easat-8312	210	3	with	with	ADP
easat-8312	210	4	the	the	DET
easat-8312	210	5	cnn	cnn	PROPN
easat-8312	210	6	and	and	CCONJ
easat-8312	210	7	bigru	bigru	VERB
easat-8312	210	8	hyperparameters	hyperparameter	NOUN
easat-8312	210	9	fixed	fix	VERB
easat-8312	210	10	,	,	PUNCT
easat-8312	210	11	a	a	DET
easat-8312	210	12	dropout	dropout	NOUN
easat-8312	210	13	layer	layer	NOUN
easat-8312	210	14	was	be	AUX
easat-8312	210	15	added	add	VERB
easat-8312	210	16	after	after	ADP
easat-8312	210	17	bigru	bigru	NOUN
easat-8312	210	18	,	,	PUNCT
easat-8312	210	19	and	and	CCONJ
easat-8312	210	20	a	a	DET
easat-8312	210	21	dropout	dropout	NOUN
easat-8312	210	22	rate	rate	NOUN
easat-8312	210	23	of	of	ADP
easat-8312	210	24	0.2	0.2	NUM
easat-8312	210	25	was	be	AUX
easat-8312	210	26	found	find	VERB
easat-8312	210	27	to	to	PART
easat-8312	210	28	give	give	VERB
easat-8312	210	29	the	the	DET
easat-8312	210	30	best	good	ADJ
easat-8312	210	31	performance	performance	NOUN
easat-8312	210	32	.	.	PUNCT
easat-8312	211	1	the	the	DET
easat-8312	211	2	hyperparameters	hyperparameter	NOUN
easat-8312	211	3	of	of	ADP
easat-8312	211	4	each	each	DET
easat-8312	211	5	model	model	NOUN
easat-8312	211	6	were	be	AUX
easat-8312	211	7	mainly	mainly	ADV
easat-8312	211	8	determined	determine	VERB
easat-8312	211	9	by	by	ADP
easat-8312	211	10	factors	factor	NOUN
easat-8312	211	11	such	such	ADJ
easat-8312	211	12	as	as	ADP
easat-8312	211	13	:	:	PUNCT
easat-8312	211	14	initial	initial	ADJ
easat-8312	211	15	learning	learning	NOUN
easat-8312	211	16	rate	rate	NOUN
easat-8312	211	17	(	(	PUNCT
easat-8312	211	18	ilr	ilr	PROPN
easat-8312	211	19	)	)	PUNCT
easat-8312	211	20	,	,	PUNCT
easat-8312	211	21	number	number	NOUN
easat-8312	211	22	of	of	ADP
easat-8312	211	23	hidden	hide	VERB
easat-8312	211	24	units	unit	NOUN
easat-8312	211	25	(	(	PUNCT
easat-8312	211	26	hus	hus	NUM
easat-8312	211	27	)	)	PUNCT
easat-8312	211	28	,	,	PUNCT
easat-8312	211	29	learning	learn	VERB
easat-8312	211	30	rate	rate	NOUN
easat-8312	211	31	decay	decay	NOUN
easat-8312	211	32	mechanism	mechanism	NOUN
easat-8312	211	33	(	(	PUNCT
easat-8312	211	34	using	use	VERB
easat-8312	211	35	cosineannealinglr	cosineannealinglr	PROPN
easat-8312	211	36	)	)	PUNCT
easat-8312	211	37	,	,	PUNCT
easat-8312	211	38	and	and	CCONJ
easat-8312	211	39	the	the	DET
easat-8312	211	40	number	number	NOUN
easat-8312	211	41	of	of	ADP
easat-8312	211	42	filters	filter	NOUN
easat-8312	211	43	in	in	ADP
easat-8312	211	44	the	the	DET
easat-8312	211	45	cnn	cnn	PROPN
easat-8312	211	46	layers	layer	NOUN
easat-8312	211	47	(	(	PUNCT
easat-8312	211	48	fils	fil	NOUN
easat-8312	211	49	)	)	PUNCT
easat-8312	211	50	.	.	PUNCT
easat-8312	212	1	the	the	DET
easat-8312	212	2	learning	learning	NOUN
easat-8312	212	3	rate	rate	NOUN
easat-8312	212	4	for	for	ADP
easat-8312	212	5	each	each	DET
easat-8312	212	6	model	model	NOUN
easat-8312	212	7	was	be	AUX
easat-8312	212	8	fine	fine	ADV
easat-8312	212	9	-	-	PUNCT
easat-8312	212	10	tuned	tune	VERB
easat-8312	212	11	within	within	ADP
easat-8312	212	12	the	the	DET
easat-8312	212	13	range	range	NOUN
easat-8312	212	14	of	of	ADP
easat-8312	212	15	[	[	X
easat-8312	212	16	0.001	0.001	NUM
easat-8312	212	17	,	,	PUNCT
easat-8312	212	18	0.005	0.005	NUM
easat-8312	212	19	]	]	PUNCT
easat-8312	212	20	.	.	PUNCT
easat-8312	213	1	all	all	DET
easat-8312	213	2	models	model	NOUN
easat-8312	213	3	used	use	VERB
easat-8312	213	4	l2	l2	NOUN
easat-8312	213	5	regularization	regularization	NOUN
easat-8312	213	6	,	,	PUNCT
easat-8312	213	7	controlled	control	VERB
easat-8312	213	8	by	by	ADP
easat-8312	213	9	the	the	DET
easat-8312	213	10	weight	weight	NOUN
easat-8312	213	11	decay	decay	NOUN
easat-8312	213	12	,	,	PUNCT
easat-8312	213	13	with	with	ADP
easat-8312	213	14	values	value	NOUN
easat-8312	213	15	between	between	ADP
easat-8312	213	16	0.0005	0.0005	NUM
easat-8312	213	17	and	and	CCONJ
easat-8312	213	18	0.001	0.001	NUM
easat-8312	213	19	.	.	PUNCT
easat-8312	213	20	to	to	PART
easat-8312	213	21	reduce	reduce	VERB
easat-8312	213	22	the	the	DET
easat-8312	213	23	risk	risk	NOUN
easat-8312	213	24	of	of	ADP
easat-8312	213	25	overfitting	overfitte	VERB
easat-8312	213	26	,	,	PUNCT
easat-8312	213	27	dropout	dropout	NOUN
easat-8312	213	28	settings	setting	NOUN
easat-8312	213	29	varied	vary	VERB
easat-8312	213	30	across	across	ADP
easat-8312	213	31	models	model	NOUN
easat-8312	213	32	,	,	PUNCT
easat-8312	213	33	with	with	ADP
easat-8312	213	34	the	the	DET
easat-8312	213	35	bilstm	bilstm	NOUN
easat-8312	213	36	model	model	NOUN
easat-8312	213	37	employing	employ	VERB
easat-8312	213	38	higher	high	ADJ
easat-8312	213	39	dropout	dropout	NOUN
easat-8312	213	40	rates	rate	NOUN
easat-8312	213	41	(	(	PUNCT
easat-8312	213	42	0.2/0.3	0.2/0.3	PROPN
easat-8312	213	43	)	)	PUNCT
easat-8312	213	44	.	.	PUNCT
easat-8312	214	1	the	the	DET
easat-8312	214	2	number	number	NOUN
easat-8312	214	3	of	of	ADP
easat-8312	214	4	hidden	hide	VERB
easat-8312	214	5	units	unit	NOUN
easat-8312	214	6	was	be	AUX
easat-8312	214	7	set	set	VERB
easat-8312	214	8	between	between	ADP
easat-8312	214	9	,	,	PUNCT
easat-8312	214	10	and	and	CCONJ
easat-8312	214	11	for	for	ADP
easat-8312	214	12	cnn	cnn	PROPN
easat-8312	214	13	-	-	PUNCT
easat-8312	214	14	related	relate	VERB
easat-8312	214	15	models	model	NOUN
easat-8312	214	16	,	,	PUNCT
easat-8312	214	17	multiple	multiple	ADJ
easat-8312	214	18	kernel	kernel	NOUN
easat-8312	214	19	sizes	size	NOUN
easat-8312	214	20	(	(	PUNCT
easat-8312	214	21	5	5	NUM
easat-8312	214	22	,	,	PUNCT
easat-8312	214	23	7	7	NUM
easat-8312	214	24	,	,	PUNCT
easat-8312	214	25	9	9	NUM
easat-8312	214	26	)	)	PUNCT
easat-8312	214	27	were	be	AUX
easat-8312	214	28	used	use	VERB
easat-8312	214	29	to	to	PART
easat-8312	214	30	capture	capture	VERB
easat-8312	214	31	multiscale	multiscale	ADJ
easat-8312	214	32	features	feature	NOUN
easat-8312	214	33	.	.	PUNCT
easat-8312	215	1	all	all	DET
easat-8312	215	2	models	model	NOUN
easat-8312	215	3	used	use	VERB
easat-8312	215	4	a	a	DET
easat-8312	215	5	consistent	consistent	ADJ
easat-8312	215	6	batch	batch	NOUN
easat-8312	215	7	size	size	NOUN
easat-8312	215	8	of	of	ADP
easat-8312	215	9	512	512	NUM
easat-8312	215	10	and	and	CCONJ
easat-8312	215	11	cross	cross	NOUN
easat-8312	215	12	-	-	NOUN
easat-8312	215	13	entropy	entropy	NOUN
easat-8312	215	14	as	as	ADP
easat-8312	215	15	the	the	DET
easat-8312	215	16	loss	loss	NOUN
easat-8312	215	17	function	function	NOUN
easat-8312	215	18	.	.	PUNCT
easat-8312	216	1	the	the	DET
easat-8312	216	2	table	table	NOUN
easat-8312	216	3	3	3	NUM
easat-8312	216	4	below	below	ADV
easat-8312	216	5	shows	show	VERB
easat-8312	216	6	the	the	DET
easat-8312	216	7	final	final	ADJ
easat-8312	216	8	hyperparameter	hyperparameter	NOUN
easat-8312	216	9	values	value	NOUN
easat-8312	216	10	that	that	PRON
easat-8312	216	11	achieved	achieve	VERB
easat-8312	216	12	the	the	DET
easat-8312	216	13	best	good	ADJ
easat-8312	216	14	performance	performance	NOUN
easat-8312	216	15	for	for	ADP
easat-8312	216	16	each	each	DET
easat-8312	216	17	model	model	NOUN
easat-8312	216	18	,	,	PUNCT
easat-8312	216	19	representing	represent	VERB
easat-8312	216	20	the	the	DET
easat-8312	216	21	optimal	optimal	ADJ
easat-8312	216	22	configuration	configuration	NOUN
easat-8312	216	23	for	for	ADP
easat-8312	216	24	both	both	DET
easat-8312	216	25	performance	performance	NOUN
easat-8312	216	26	and	and	CCONJ
easat-8312	216	27	optimization	optimization	NOUN
easat-8312	216	28	.	.	PUNCT
easat-8312	217	1	table	table	NOUN
easat-8312	217	2	3	3	NUM
easat-8312	217	3	.	.	PUNCT
easat-8312	217	4	partial	partial	ADJ
easat-8312	217	5	monitoring	monitoring	NOUN
easat-8312	217	6	parameter	parameter	NOUN
easat-8312	217	7	information	information	NOUN
easat-8312	217	8	of	of	ADP
easat-8312	217	9	wind	wind	NOUN
easat-8312	217	10	turbine	turbine	NOUN
easat-8312	217	11	units	unit	NOUN
easat-8312	217	12	.	.	PUNCT
easat-8312	218	1	model	model	NOUN
easat-8312	218	2	learning	learning	NOUN
easat-8312	218	3	rate	rate	NOUN
easat-8312	218	4	weight	weight	NOUN
easat-8312	218	5	decay	decay	NOUN
easat-8312	218	6	dropout	dropout	NOUN
easat-8312	218	7	hidden	hide	VERB
easat-8312	218	8	size	size	NOUN
easat-8312	218	9	filter	filter	NOUN
easat-8312	218	10	sizes	size	NOUN
easat-8312	218	11	batch	batch	VERB
easat-8312	218	12	size	size	NOUN
easat-8312	218	13	cnn	cnn	PROPN
easat-8312	218	14	-	-	PROPN
easat-8312	218	15	tpa	tpa	PROPN
easat-8312	218	16	0.0003	0.0003	NUM
easat-8312	218	17	0.0005	0.0005	NUM
easat-8312	218	18	0.1	0.1	NUM
easat-8312	218	19	n	n	CCONJ
easat-8312	218	20	/	/	SYM
easat-8312	218	21	a	a	PRON
easat-8312	218	22	[	[	X
easat-8312	218	23	5	5	NUM
easat-8312	218	24	,	,	PUNCT
easat-8312	218	25	7	7	NUM
easat-8312	218	26	,	,	PUNCT
easat-8312	218	27	9	9	NUM
easat-8312	218	28	]	]	SYM
easat-8312	218	29	512	512	NUM
easat-8312	218	30	lstm	lstm	NOUN
easat-8312	218	31	-	-	PUNCT
easat-8312	218	32	tpa	tpa	NOUN
easat-8312	218	33	0.0003	0.0003	NUM
easat-8312	218	34	0.0005	0.0005	NUM
easat-8312	218	35	0.1	0.1	NUM
easat-8312	218	36	64	64	NUM
easat-8312	218	37	n	n	CCONJ
easat-8312	218	38	/	/	SYM
easat-8312	218	39	a	a	DET
easat-8312	218	40	512	512	NUM
easat-8312	218	41	gru	gru	PROPN
easat-8312	218	42	-	-	NOUN
easat-8312	218	43	tpa	tpa	NOUN
easat-8312	218	44	0.0003	0.0003	NUM
easat-8312	218	45	0.0005	0.0005	NUM
easat-8312	218	46	0.1	0.1	NUM
easat-8312	218	47	64	64	NUM
easat-8312	218	48	n	n	CCONJ
easat-8312	218	49	/	/	SYM
easat-8312	218	50	a	a	DET
easat-8312	218	51	512	512	NUM
easat-8312	218	52	bigru	bigru	NOUN
easat-8312	218	53	-	-	PUNCT
easat-8312	218	54	tpa	tpa	NOUN
easat-8312	218	55	0.0003	0.0003	NUM
easat-8312	218	56	0.0005	0.0005	NUM
easat-8312	218	57	0.1	0.1	NUM
easat-8312	218	58	64/128	64/128	NUM
easat-8312	218	59	n	n	CCONJ
easat-8312	218	60	/	/	SYM
easat-8312	218	61	a	a	DET
easat-8312	218	62	512	512	NUM
easat-8312	218	63	bilstm	bilstm	NOUN
easat-8312	218	64	-	-	PUNCT
easat-8312	218	65	tpa	tpa	NOUN
easat-8312	218	66	0.0001	0.0001	NUM
easat-8312	218	67	0.001	0.001	NUM
easat-8312	218	68	0.2	0.2	NUM
easat-8312	218	69	64/128	64/128	NUM
easat-8312	218	70	n	n	CCONJ
easat-8312	218	71	/	/	SYM
easat-8312	218	72	a	a	DET
easat-8312	218	73	512	512	NUM
easat-8312	218	74	cnn	cnn	PROPN
easat-8312	218	75	-	-	PUNCT
easat-8312	218	76	bigru	bigru	NOUN
easat-8312	218	77	-	-	PUNCT
easat-8312	218	78	tpa	tpa	NOUN
easat-8312	218	79	0.0003	0.0003	NUM
easat-8312	218	80	0.0005	0.0005	NUM
easat-8312	218	81	0.1	0.1	NUM
easat-8312	218	82	64/128	64/128	NUM
easat-8312	219	1	[	[	X
easat-8312	219	2	5	5	NUM
easat-8312	219	3	,	,	PUNCT
easat-8312	219	4	7	7	NUM
easat-8312	219	5	,	,	PUNCT
easat-8312	219	6	9	9	NUM
easat-8312	219	7	]	]	SYM
easat-8312	219	8	512	512	NUM
easat-8312	219	9	4.3	4.3	NUM
easat-8312	219	10	.	.	PUNCT
easat-8312	220	1	baseline	baseline	PROPN
easat-8312	220	2	comparison	comparison	NOUN
easat-8312	220	3	figure	figure	NOUN
easat-8312	220	4	6	6	NUM
easat-8312	220	5	shows	show	VERB
easat-8312	220	6	the	the	DET
easat-8312	220	7	performance	performance	NOUN
easat-8312	220	8	of	of	ADP
easat-8312	220	9	different	different	ADJ
easat-8312	220	10	models	model	NOUN
easat-8312	220	11	during	during	ADP
easat-8312	220	12	training	training	NOUN
easat-8312	220	13	across	across	ADP
easat-8312	220	14	50	50	NUM
easat-8312	220	15	epochs	epoch	NOUN
easat-8312	220	16	,	,	PUNCT
easat-8312	220	17	highlighting	highlight	VERB
easat-8312	220	18	key	key	ADJ
easat-8312	220	19	metrics	metric	NOUN
easat-8312	220	20	.	.	PUNCT
easat-8312	221	1	from	from	ADP
easat-8312	221	2	the	the	DET
easat-8312	221	3	data	datum	NOUN
easat-8312	221	4	,	,	PUNCT
easat-8312	221	5	we	we	PRON
easat-8312	221	6	studied	study	VERB
easat-8312	221	7	the	the	DET
easat-8312	221	8	behavior	behavior	NOUN
easat-8312	221	9	of	of	ADP
easat-8312	221	10	each	each	DET
easat-8312	221	11	model	model	NOUN
easat-8312	221	12	,	,	PUNCT
easat-8312	221	13	focusing	focus	VERB
easat-8312	221	14	on	on	ADP
easat-8312	221	15	the	the	DET
easat-8312	221	16	jumping	jump	VERB
easat-8312	221	17	phenomenon	phenomenon	NOUN
easat-8312	221	18	,	,	PUNCT
easat-8312	221	19	flattening	flattening	NOUN
easat-8312	221	20	trends	trend	NOUN
easat-8312	221	21	,	,	PUNCT
easat-8312	221	22	and	and	CCONJ
easat-8312	221	23	why	why	SCONJ
easat-8312	221	24	some	some	DET
easat-8312	221	25	models	model	NOUN
easat-8312	221	26	show	show	VERB
easat-8312	221	27	less	less	ADV
easat-8312	221	28	significant	significant	ADJ
easat-8312	221	29	loss	loss	NOUN
easat-8312	221	30	reduction	reduction	NOUN
easat-8312	221	31	.	.	PUNCT
easat-8312	222	1	2046	2046	NUM
easat-8312	222	2	edelweiss	edelweiss	PROPN
easat-8312	222	3	applied	apply	VERB
easat-8312	222	4	science	science	NOUN
easat-8312	222	5	and	and	CCONJ
easat-8312	222	6	technology	technology	NOUN
easat-8312	222	7	issn	issn	PROPN
easat-8312	222	8	:	:	PUNCT
easat-8312	222	9	2576	2576	NUM
easat-8312	222	10	-	-	SYM
easat-8312	222	11	8484	8484	NUM
easat-8312	222	12	vol	vol	NOUN
easat-8312	222	13	.	.	PROPN
easat-8312	223	1	9	9	NUM
easat-8312	223	2	,	,	PUNCT
easat-8312	223	3	no	no	INTJ
easat-8312	223	4	.	.	NOUN
easat-8312	223	5	6	6	NUM
easat-8312	223	6	:	:	SYM
easat-8312	223	7	2035	2035	NUM
easat-8312	223	8	-	-	SYM
easat-8312	223	9	2054	2054	NUM
easat-8312	223	10	,	,	PUNCT
easat-8312	223	11	2025	2025	NUM
easat-8312	223	12	doi	doi	NOUN
easat-8312	223	13	:	:	PUNCT
easat-8312	223	14	10.55214/25768484.v9i6.8312	10.55214/25768484.v9i6.8312	PROPN
easat-8312	223	15	©	©	PROPN
easat-8312	223	16	2025	2025	NUM
easat-8312	223	17	by	by	ADP
easat-8312	223	18	the	the	DET
easat-8312	223	19	authors	author	NOUN
easat-8312	223	20	;	;	PUNCT
easat-8312	223	21	licensee	licensee	PROPN
easat-8312	223	22	learning	learn	VERB
easat-8312	223	23	gate	gate	NOUN
easat-8312	223	24	4.3.1	4.3.1	X
easat-8312	223	25	.	.	PUNCT
easat-8312	224	1	jumping	jump	VERB
easat-8312	224	2	phenomenon	phenomenon	NOUN
easat-8312	224	3	the	the	DET
easat-8312	224	4	curves	curve	NOUN
easat-8312	224	5	of	of	ADP
easat-8312	224	6	the	the	DET
easat-8312	224	7	bigru	bigru	NOUN
easat-8312	224	8	-	-	PUNCT
easat-8312	224	9	tpa	tpa	NOUN
easat-8312	224	10	model	model	NOUN
easat-8312	224	11	on	on	ADP
easat-8312	224	12	multiple	multiple	ADJ
easat-8312	224	13	indicators	indicator	NOUN
easat-8312	224	14	,	,	PUNCT
easat-8312	224	15	such	such	ADJ
easat-8312	224	16	as	as	ADP
easat-8312	224	17	precision	precision	NOUN
easat-8312	224	18	(	(	PUNCT
easat-8312	224	19	figure	figure	NOUN
easat-8312	224	20	6(b	6(b	NUM
easat-8312	224	21	)	)	PUNCT
easat-8312	224	22	)	)	PUNCT
easat-8312	224	23	and	and	CCONJ
easat-8312	224	24	mcc	mcc	PROPN
easat-8312	224	25	(	(	PUNCT
easat-8312	224	26	figure	figure	NOUN
easat-8312	224	27	6(d	6(d	NUM
easat-8312	224	28	)	)	PUNCT
easat-8312	224	29	)	)	PUNCT
easat-8312	224	30	,	,	PUNCT
easat-8312	224	31	showed	show	VERB
easat-8312	224	32	obvious	obvious	ADJ
easat-8312	224	33	jumps	jump	NOUN
easat-8312	224	34	.	.	PUNCT
easat-8312	225	1	this	this	DET
easat-8312	225	2	phenomenon	phenomenon	NOUN
easat-8312	225	3	might	might	AUX
easat-8312	225	4	be	be	AUX
easat-8312	225	5	due	due	ADJ
easat-8312	225	6	to	to	ADP
easat-8312	225	7	the	the	DET
easat-8312	225	8	model	model	NOUN
easat-8312	225	9	's	's	PART
easat-8312	225	10	sensitivity	sensitivity	NOUN
easat-8312	225	11	to	to	ADP
easat-8312	225	12	the	the	DET
easat-8312	225	13	data	datum	NOUN
easat-8312	225	14	,	,	PUNCT
easat-8312	225	15	especially	especially	ADV
easat-8312	225	16	in	in	ADP
easat-8312	225	17	the	the	DET
easat-8312	225	18	early	early	ADJ
easat-8312	225	19	training	training	NOUN
easat-8312	225	20	stages	stage	NOUN
easat-8312	225	21	,	,	PUNCT
easat-8312	225	22	when	when	SCONJ
easat-8312	225	23	the	the	DET
easat-8312	225	24	model	model	NOUN
easat-8312	225	25	weights	weight	NOUN
easat-8312	225	26	were	be	AUX
easat-8312	225	27	updated	update	VERB
easat-8312	225	28	drastically	drastically	ADV
easat-8312	225	29	,	,	PUNCT
easat-8312	225	30	resulting	result	VERB
easat-8312	225	31	in	in	ADP
easat-8312	225	32	large	large	ADJ
easat-8312	225	33	fluctuations	fluctuation	NOUN
easat-8312	225	34	in	in	ADP
easat-8312	225	35	the	the	DET
easat-8312	225	36	metrics	metric	NOUN
easat-8312	225	37	.	.	PUNCT
easat-8312	226	1	since	since	SCONJ
easat-8312	226	2	the	the	DET
easat-8312	226	3	bigru	bigru	NOUN
easat-8312	226	4	model	model	NOUN
easat-8312	226	5	considered	consider	VERB
easat-8312	226	6	both	both	CCONJ
easat-8312	226	7	forward	forward	ADJ
easat-8312	226	8	and	and	CCONJ
easat-8312	226	9	backward	backward	ADJ
easat-8312	226	10	information	information	NOUN
easat-8312	226	11	,	,	PUNCT
easat-8312	226	12	if	if	SCONJ
easat-8312	226	13	the	the	DET
easat-8312	226	14	attention	attention	NOUN
easat-8312	226	15	mechanism	mechanism	NOUN
easat-8312	226	16	of	of	ADP
easat-8312	226	17	the	the	DET
easat-8312	226	18	model	model	NOUN
easat-8312	226	19	was	be	AUX
easat-8312	226	20	unstable	unstable	ADJ
easat-8312	226	21	,	,	PUNCT
easat-8312	226	22	it	it	PRON
easat-8312	226	23	would	would	AUX
easat-8312	226	24	cause	cause	VERB
easat-8312	226	25	large	large	ADJ
easat-8312	226	26	changes	change	NOUN
easat-8312	226	27	in	in	ADP
easat-8312	226	28	the	the	DET
easat-8312	226	29	weights	weight	NOUN
easat-8312	226	30	of	of	ADP
easat-8312	226	31	local	local	ADJ
easat-8312	226	32	time	time	NOUN
easat-8312	226	33	steps	step	NOUN
easat-8312	226	34	,	,	PUNCT
easat-8312	226	35	leading	lead	VERB
easat-8312	226	36	to	to	ADP
easat-8312	226	37	fluctuations	fluctuation	NOUN
easat-8312	226	38	in	in	ADP
easat-8312	226	39	prediction	prediction	NOUN
easat-8312	226	40	accuracy	accuracy	NOUN
easat-8312	226	41	.	.	PUNCT
easat-8312	227	1	additionally	additionally	ADV
easat-8312	227	2	,	,	PUNCT
easat-8312	227	3	the	the	DET
easat-8312	227	4	jump	jump	NOUN
easat-8312	227	5	in	in	ADP
easat-8312	227	6	the	the	DET
easat-8312	227	7	cnn	cnn	PROPN
easat-8312	227	8	-	-	PUNCT
easat-8312	227	9	bigru	bigru	NOUN
easat-8312	227	10	-	-	PUNCT
easat-8312	227	11	tpa	tpa	NOUN
easat-8312	227	12	model	model	NOUN
easat-8312	227	13	was	be	AUX
easat-8312	227	14	also	also	ADV
easat-8312	227	15	reflected	reflect	VERB
easat-8312	227	16	in	in	ADP
easat-8312	227	17	the	the	DET
easat-8312	227	18	early	early	ADJ
easat-8312	227	19	stage	stage	NOUN
easat-8312	227	20	,	,	PUNCT
easat-8312	227	21	primarily	primarily	ADV
easat-8312	227	22	due	due	ADP
easat-8312	227	23	to	to	ADP
easat-8312	227	24	the	the	DET
easat-8312	227	25	complexity	complexity	NOUN
easat-8312	227	26	of	of	ADP
easat-8312	227	27	the	the	DET
easat-8312	227	28	model	model	NOUN
easat-8312	227	29	structure	structure	NOUN
easat-8312	227	30	.	.	PUNCT
easat-8312	228	1	the	the	DET
easat-8312	228	2	model	model	NOUN
easat-8312	228	3	required	require	VERB
easat-8312	228	4	to	to	PART
easat-8312	228	5	balance	balance	VERB
easat-8312	228	6	between	between	ADP
easat-8312	228	7	extracting	extract	VERB
easat-8312	228	8	local	local	ADJ
easat-8312	228	9	features	feature	NOUN
easat-8312	228	10	in	in	ADP
easat-8312	228	11	the	the	DET
easat-8312	228	12	convolutional	convolutional	ADJ
easat-8312	228	13	layer	layer	NOUN
easat-8312	228	14	and	and	CCONJ
easat-8312	228	15	global	global	ADJ
easat-8312	228	16	temporal	temporal	ADJ
easat-8312	228	17	features	feature	NOUN
easat-8312	228	18	in	in	ADP
easat-8312	228	19	bigru	bigru	NOUN
easat-8312	228	20	.	.	PUNCT
easat-8312	229	1	early	early	ADV
easat-8312	229	2	in	in	ADP
easat-8312	229	3	training	training	NOUN
easat-8312	229	4	,	,	PUNCT
easat-8312	229	5	the	the	DET
easat-8312	229	6	model	model	NOUN
easat-8312	229	7	might	might	AUX
easat-8312	229	8	be	be	AUX
easat-8312	229	9	trying	try	VERB
easat-8312	229	10	to	to	PART
easat-8312	229	11	optimize	optimize	VERB
easat-8312	229	12	the	the	DET
easat-8312	229	13	weights	weight	NOUN
easat-8312	229	14	of	of	ADP
easat-8312	229	15	these	these	DET
easat-8312	229	16	two	two	NUM
easat-8312	229	17	components	component	NOUN
easat-8312	229	18	,	,	PUNCT
easat-8312	229	19	causing	cause	VERB
easat-8312	229	20	the	the	DET
easat-8312	229	21	metrics	metric	NOUN
easat-8312	229	22	to	to	PART
easat-8312	229	23	fluctuate	fluctuate	VERB
easat-8312	229	24	greatly	greatly	ADV
easat-8312	229	25	.	.	PUNCT
easat-8312	230	1	(	(	PUNCT
easat-8312	230	2	a	a	X
easat-8312	230	3	)	)	PUNCT
easat-8312	230	4	recall	recall	NOUN
easat-8312	230	5	2047	2047	NUM
easat-8312	230	6	edelweiss	edelweiss	PROPN
easat-8312	230	7	applied	apply	VERB
easat-8312	230	8	science	science	NOUN
easat-8312	230	9	and	and	CCONJ
easat-8312	230	10	technology	technology	NOUN
easat-8312	230	11	issn	issn	PROPN
easat-8312	230	12	:	:	PUNCT
easat-8312	230	13	2576	2576	NUM
easat-8312	230	14	-	-	SYM
easat-8312	230	15	8484	8484	NUM
easat-8312	230	16	vol	vol	NOUN
easat-8312	230	17	.	.	PROPN
easat-8312	231	1	9	9	NUM
easat-8312	231	2	,	,	PUNCT
easat-8312	231	3	no	no	INTJ
easat-8312	231	4	.	.	NOUN
easat-8312	231	5	6	6	NUM
easat-8312	231	6	:	:	SYM
easat-8312	231	7	2035	2035	NUM
easat-8312	231	8	-	-	SYM
easat-8312	231	9	2054	2054	NUM
easat-8312	231	10	,	,	PUNCT
easat-8312	231	11	2025	2025	NUM
easat-8312	231	12	doi	doi	NOUN
easat-8312	231	13	:	:	PUNCT
easat-8312	231	14	10.55214/25768484.v9i6.8312	10.55214/25768484.v9i6.8312	PROPN
easat-8312	231	15	©	©	PROPN
easat-8312	231	16	2025	2025	NUM
easat-8312	231	17	by	by	ADP
easat-8312	231	18	the	the	DET
easat-8312	231	19	authors	author	NOUN
easat-8312	231	20	;	;	PUNCT
easat-8312	231	21	licensee	licensee	PROPN
easat-8312	231	22	learning	learning	NOUN
easat-8312	231	23	gate	gate	NOUN
easat-8312	231	24	(	(	PUNCT
easat-8312	231	25	b	b	NOUN
easat-8312	231	26	)	)	PUNCT
easat-8312	231	27	precision	precision	NOUN
easat-8312	231	28	(	(	PUNCT
easat-8312	231	29	c	c	NOUN
easat-8312	231	30	)	)	PUNCT
easat-8312	231	31	f1	f1	NOUN
easat-8312	231	32	-	-	PUNCT
easat-8312	231	33	score	score	NOUN
easat-8312	231	34	2048	2048	NUM
easat-8312	231	35	edelweiss	edelweiss	PROPN
easat-8312	231	36	applied	apply	VERB
easat-8312	231	37	science	science	NOUN
easat-8312	231	38	and	and	CCONJ
easat-8312	231	39	technology	technology	NOUN
easat-8312	231	40	issn	issn	PROPN
easat-8312	231	41	:	:	PUNCT
easat-8312	231	42	2576	2576	NUM
easat-8312	231	43	-	-	SYM
easat-8312	231	44	8484	8484	NUM
easat-8312	231	45	vol	vol	NOUN
easat-8312	231	46	.	.	PROPN
easat-8312	232	1	9	9	NUM
easat-8312	232	2	,	,	PUNCT
easat-8312	232	3	no	no	INTJ
easat-8312	232	4	.	.	NOUN
easat-8312	232	5	6	6	NUM
easat-8312	232	6	:	:	SYM
easat-8312	232	7	2035	2035	NUM
easat-8312	232	8	-	-	SYM
easat-8312	232	9	2054	2054	NUM
easat-8312	232	10	,	,	PUNCT
easat-8312	232	11	2025	2025	NUM
easat-8312	232	12	doi	doi	NOUN
easat-8312	232	13	:	:	PUNCT
easat-8312	232	14	10.55214/25768484.v9i6.8312	10.55214/25768484.v9i6.8312	PROPN
easat-8312	232	15	©	©	PROPN
easat-8312	232	16	2025	2025	NUM
easat-8312	232	17	by	by	ADP
easat-8312	232	18	the	the	DET
easat-8312	232	19	authors	author	NOUN
easat-8312	232	20	;	;	PUNCT
easat-8312	232	21	licensee	licensee	PROPN
easat-8312	232	22	learning	learning	NOUN
easat-8312	232	23	gate	gate	NOUN
easat-8312	232	24	(	(	PUNCT
easat-8312	232	25	d	d	NOUN
easat-8312	232	26	)	)	PUNCT
easat-8312	232	27	mcc	mcc	NOUN
easat-8312	232	28	(	(	PUNCT
easat-8312	232	29	e	e	NOUN
easat-8312	232	30	)	)	PUNCT
easat-8312	232	31	accuracy	accuracy	NOUN
easat-8312	232	32	2049	2049	NUM
easat-8312	232	33	edelweiss	edelweiss	PROPN
easat-8312	232	34	applied	apply	VERB
easat-8312	232	35	science	science	NOUN
easat-8312	232	36	and	and	CCONJ
easat-8312	232	37	technology	technology	NOUN
easat-8312	232	38	issn	issn	PROPN
easat-8312	232	39	:	:	PUNCT
easat-8312	232	40	2576	2576	NUM
easat-8312	232	41	-	-	SYM
easat-8312	232	42	8484	8484	NUM
easat-8312	232	43	vol	vol	NOUN
easat-8312	232	44	.	.	PROPN
easat-8312	233	1	9	9	NUM
easat-8312	233	2	,	,	PUNCT
easat-8312	233	3	no	no	INTJ
easat-8312	233	4	.	.	NOUN
easat-8312	233	5	6	6	NUM
easat-8312	233	6	:	:	SYM
easat-8312	233	7	2035	2035	NUM
easat-8312	233	8	-	-	SYM
easat-8312	233	9	2054	2054	NUM
easat-8312	233	10	,	,	PUNCT
easat-8312	233	11	2025	2025	NUM
easat-8312	233	12	doi	doi	NOUN
easat-8312	233	13	:	:	PUNCT
easat-8312	233	14	10.55214/25768484.v9i6.8312	10.55214/25768484.v9i6.8312	PROPN
easat-8312	233	15	©	©	PROPN
easat-8312	233	16	2025	2025	NUM
easat-8312	233	17	by	by	ADP
easat-8312	233	18	the	the	DET
easat-8312	233	19	authors	author	NOUN
easat-8312	233	20	;	;	PUNCT
easat-8312	233	21	licensee	licensee	PROPN
easat-8312	233	22	learning	learning	NOUN
easat-8312	233	23	gate	gate	NOUN
easat-8312	233	24	(	(	PUNCT
easat-8312	233	25	f	f	X
easat-8312	233	26	)	)	PUNCT
easat-8312	233	27	loss	loss	NOUN
easat-8312	233	28	figure	figure	NOUN
easat-8312	233	29	6	6	NUM
easat-8312	233	30	.	.	PUNCT
easat-8312	233	31	performance	performance	NOUN
easat-8312	233	32	comparison	comparison	NOUN
easat-8312	233	33	of	of	ADP
easat-8312	233	34	the	the	DET
easat-8312	233	35	models	model	NOUN
easat-8312	233	36	over	over	ADP
easat-8312	233	37	50	50	NUM
easat-8312	233	38	epochs	epoch	NOUN
easat-8312	233	39	.	.	PUNCT
easat-8312	234	1	4.3.2	4.3.2	X
easat-8312	234	2	.	.	PUNCT
easat-8312	235	1	the	the	DET
easat-8312	235	2	flattening	flattening	NOUN
easat-8312	235	3	phenomenon	phenomenon	NOUN
easat-8312	235	4	the	the	DET
easat-8312	235	5	index	index	NOUN
easat-8312	235	6	curves	curve	NOUN
easat-8312	235	7	of	of	ADP
easat-8312	235	8	the	the	DET
easat-8312	235	9	lstm	lstm	PROPN
easat-8312	235	10	-	-	PUNCT
easat-8312	235	11	tpa	tpa	PROPN
easat-8312	235	12	and	and	CCONJ
easat-8312	235	13	gru	gru	PROPN
easat-8312	235	14	-	-	ADJ
easat-8312	235	15	tpa	tpa	NOUN
easat-8312	235	16	models	model	NOUN
easat-8312	235	17	were	be	AUX
easat-8312	235	18	relatively	relatively	ADV
easat-8312	235	19	stable	stable	ADJ
easat-8312	235	20	,	,	PUNCT
easat-8312	235	21	as	as	SCONJ
easat-8312	235	22	seen	see	VERB
easat-8312	235	23	in	in	ADP
easat-8312	235	24	figure	figure	NOUN
easat-8312	235	25	6(a	6(a	NUM
easat-8312	235	26	)	)	PUNCT
easat-8312	235	27	and	and	CCONJ
easat-8312	235	28	6(b	6(b	NUM
easat-8312	235	29	)	)	PUNCT
easat-8312	235	30	.	.	PUNCT
easat-8312	236	1	this	this	PRON
easat-8312	236	2	might	might	AUX
easat-8312	236	3	be	be	AUX
easat-8312	236	4	because	because	SCONJ
easat-8312	236	5	these	these	DET
easat-8312	236	6	models	model	NOUN
easat-8312	236	7	had	have	VERB
easat-8312	236	8	simpler	simple	ADJ
easat-8312	236	9	structures	structure	NOUN
easat-8312	236	10	and	and	CCONJ
easat-8312	236	11	focus	focus	VERB
easat-8312	236	12	on	on	ADP
easat-8312	236	13	one	one	NUM
easat-8312	236	14	-	-	PUNCT
easat-8312	236	15	way	way	NOUN
easat-8312	236	16	temporal	temporal	ADJ
easat-8312	236	17	features	feature	NOUN
easat-8312	236	18	.	.	PUNCT
easat-8312	237	1	the	the	DET
easat-8312	237	2	optimization	optimization	NOUN
easat-8312	237	3	direction	direction	NOUN
easat-8312	237	4	of	of	ADP
easat-8312	237	5	these	these	DET
easat-8312	237	6	models	model	NOUN
easat-8312	237	7	remained	remain	VERB
easat-8312	237	8	relatively	relatively	ADV
easat-8312	237	9	stable	stable	ADJ
easat-8312	237	10	in	in	ADP
easat-8312	237	11	each	each	DET
easat-8312	237	12	training	training	NOUN
easat-8312	237	13	cycle	cycle	NOUN
easat-8312	237	14	,	,	PUNCT
easat-8312	237	15	resulting	result	VERB
easat-8312	237	16	in	in	ADP
easat-8312	237	17	a	a	DET
easat-8312	237	18	slow	slow	ADJ
easat-8312	237	19	,	,	PUNCT
easat-8312	237	20	steady	steady	ADJ
easat-8312	237	21	improvement	improvement	NOUN
easat-8312	237	22	of	of	ADP
easat-8312	237	23	the	the	DET
easat-8312	237	24	metrics	metric	NOUN
easat-8312	237	25	with	with	ADP
easat-8312	237	26	small	small	ADJ
easat-8312	237	27	fluctuations	fluctuation	NOUN
easat-8312	237	28	.	.	PUNCT
easat-8312	238	1	the	the	DET
easat-8312	238	2	curve	curve	NOUN
easat-8312	238	3	of	of	ADP
easat-8312	238	4	the	the	DET
easat-8312	238	5	cnn	cnn	PROPN
easat-8312	238	6	-	-	PUNCT
easat-8312	238	7	tpa	tpa	PROPN
easat-8312	238	8	model	model	NOUN
easat-8312	238	9	also	also	ADV
easat-8312	238	10	showed	show	VERB
easat-8312	238	11	a	a	DET
easat-8312	238	12	relatively	relatively	ADV
easat-8312	238	13	flat	flat	ADJ
easat-8312	238	14	trend	trend	NOUN
easat-8312	238	15	,	,	PUNCT
easat-8312	238	16	especially	especially	ADV
easat-8312	238	17	the	the	DET
easat-8312	238	18	decrease	decrease	NOUN
easat-8312	238	19	in	in	ADP
easat-8312	238	20	the	the	DET
easat-8312	238	21	loss	loss	NOUN
easat-8312	238	22	(	(	PUNCT
easat-8312	238	23	figure	figure	NOUN
easat-8312	238	24	6f	6f	NUM
easat-8312	238	25	)	)	PUNCT
easat-8312	238	26	.	.	PUNCT
easat-8312	239	1	after	after	ADP
easat-8312	239	2	about	about	ADV
easat-8312	239	3	30	30	NUM
easat-8312	239	4	epochs	epoch	NOUN
easat-8312	239	5	,	,	PUNCT
easat-8312	239	6	the	the	DET
easat-8312	239	7	loss	loss	NOUN
easat-8312	239	8	value	value	NOUN
easat-8312	239	9	decreased	decrease	VERB
easat-8312	239	10	by	by	ADP
easat-8312	239	11	approximately	approximately	ADV
easat-8312	239	12	20	20	NUM
easat-8312	239	13	%	%	NOUN
easat-8312	239	14	.	.	PUNCT
easat-8312	240	1	this	this	PRON
easat-8312	240	2	indicated	indicate	VERB
easat-8312	240	3	that	that	SCONJ
easat-8312	240	4	the	the	DET
easat-8312	240	5	convolutional	convolutional	ADJ
easat-8312	240	6	network	network	NOUN
easat-8312	240	7	's	's	PART
easat-8312	240	8	feature	feature	NOUN
easat-8312	240	9	extraction	extraction	NOUN
easat-8312	240	10	was	be	AUX
easat-8312	240	11	relatively	relatively	ADV
easat-8312	240	12	stable	stable	ADJ
easat-8312	240	13	,	,	PUNCT
easat-8312	240	14	and	and	CCONJ
easat-8312	240	15	the	the	DET
easat-8312	240	16	model	model	NOUN
easat-8312	240	17	gradually	gradually	ADV
easat-8312	240	18	converged	converge	VERB
easat-8312	240	19	during	during	ADP
easat-8312	240	20	the	the	DET
easat-8312	240	21	training	training	NOUN
easat-8312	240	22	process	process	NOUN
easat-8312	240	23	.	.	PUNCT
easat-8312	241	1	4.3.3	4.3.3	X
easat-8312	241	2	.	.	PUNCT
easat-8312	242	1	the	the	DET
easat-8312	242	2	loss	loss	NOUN
easat-8312	242	3	of	of	ADP
easat-8312	242	4	the	the	DET
easat-8312	242	5	cnn	cnn	PROPN
easat-8312	242	6	-	-	PUNCT
easat-8312	242	7	bigru	bigru	NOUN
easat-8312	242	8	-	-	PUNCT
easat-8312	242	9	tpa	tpa	NOUN
easat-8312	242	10	model	model	NOUN
easat-8312	242	11	although	although	SCONJ
easat-8312	242	12	cnn	cnn	PROPN
easat-8312	242	13	-	-	PUNCT
easat-8312	242	14	bigru	bigru	NOUN
easat-8312	242	15	-	-	PUNCT
easat-8312	242	16	tpa	tpa	NOUN
easat-8312	242	17	excels	excel	NOUN
easat-8312	242	18	in	in	ADP
easat-8312	242	19	terms	term	NOUN
easat-8312	242	20	of	of	ADP
easat-8312	242	21	accuracy	accuracy	NOUN
easat-8312	242	22	(	(	PUNCT
easat-8312	242	23	figure	figure	NOUN
easat-8312	242	24	6(e	6(e	NUM
easat-8312	242	25	)	)	PUNCT
easat-8312	242	26	)	)	PUNCT
easat-8312	242	27	,	,	PUNCT
easat-8312	242	28	recall	recall	INTJ
easat-8312	242	29	(	(	PUNCT
easat-8312	242	30	figure	figure	NOUN
easat-8312	242	31	6(a	6(a	NUM
easat-8312	242	32	)	)	PUNCT
easat-8312	242	33	)	)	PUNCT
easat-8312	242	34	,	,	PUNCT
easat-8312	242	35	and	and	CCONJ
easat-8312	242	36	f1	f1	NOUN
easat-8312	242	37	score	score	NOUN
easat-8312	242	38	(	(	PUNCT
easat-8312	242	39	figure	figure	NOUN
easat-8312	242	40	6(c	6(c	NUM
easat-8312	242	41	)	)	PUNCT
easat-8312	242	42	)	)	PUNCT
easat-8312	242	43	,	,	PUNCT
easat-8312	242	44	its	its	PRON
easat-8312	242	45	loss	loss	NOUN
easat-8312	242	46	curve	curve	NOUN
easat-8312	242	47	(	(	PUNCT
easat-8312	242	48	figure	figure	NOUN
easat-8312	242	49	6(f	6(f	NUM
easat-8312	242	50	)	)	PUNCT
easat-8312	242	51	)	)	PUNCT
easat-8312	242	52	would	would	AUX
easat-8312	242	53	not	not	PART
easat-8312	242	54	decrease	decrease	VERB
easat-8312	242	55	significantly	significantly	ADV
easat-8312	242	56	in	in	ADP
easat-8312	242	57	the	the	DET
easat-8312	242	58	later	later	ADJ
easat-8312	242	59	stages	stage	NOUN
easat-8312	242	60	of	of	ADP
easat-8312	242	61	training	training	NOUN
easat-8312	242	62	(	(	PUNCT
easat-8312	242	63	between	between	ADP
easat-8312	242	64	30	30	NUM
easat-8312	242	65	and	and	CCONJ
easat-8312	242	66	50	50	NUM
easat-8312	242	67	epochs	epoch	NOUN
easat-8312	242	68	)	)	PUNCT
easat-8312	242	69	.	.	PUNCT
easat-8312	243	1	several	several	ADJ
easat-8312	243	2	reasons	reason	NOUN
easat-8312	243	3	might	might	AUX
easat-8312	243	4	account	account	VERB
easat-8312	243	5	for	for	ADP
easat-8312	243	6	this	this	PRON
easat-8312	243	7	:	:	PUNCT
easat-8312	243	8	complexity	complexity	NOUN
easat-8312	243	9	of	of	ADP
easat-8312	243	10	the	the	DET
easat-8312	243	11	model	model	NOUN
easat-8312	243	12	:	:	PUNCT
easat-8312	243	13	cnn	cnn	PROPN
easat-8312	243	14	-	-	PUNCT
easat-8312	243	15	bigru	bigru	NOUN
easat-8312	243	16	-	-	PUNCT
easat-8312	243	17	tpa	tpa	NOUN
easat-8312	243	18	combined	combine	VERB
easat-8312	243	19	convolutional	convolutional	ADJ
easat-8312	243	20	networks	network	NOUN
easat-8312	243	21	and	and	CCONJ
easat-8312	243	22	bidirectional	bidirectional	ADJ
easat-8312	243	23	grus	grus	NOUN
easat-8312	243	24	,	,	PUNCT
easat-8312	243	25	along	along	ADP
easat-8312	243	26	with	with	ADP
easat-8312	243	27	a	a	DET
easat-8312	243	28	time	time	NOUN
easat-8312	243	29	-	-	PUNCT
easat-8312	243	30	attention	attention	NOUN
easat-8312	243	31	mechanism	mechanism	NOUN
easat-8312	243	32	,	,	PUNCT
easat-8312	243	33	resulting	result	VERB
easat-8312	243	34	in	in	ADP
easat-8312	243	35	a	a	DET
easat-8312	243	36	large	large	ADJ
easat-8312	243	37	number	number	NOUN
easat-8312	243	38	of	of	ADP
easat-8312	243	39	parameters	parameter	NOUN
easat-8312	243	40	during	during	ADP
easat-8312	243	41	training	training	NOUN
easat-8312	243	42	.	.	PUNCT
easat-8312	244	1	while	while	SCONJ
easat-8312	244	2	this	this	DET
easat-8312	244	3	complex	complex	ADJ
easat-8312	244	4	structure	structure	NOUN
easat-8312	244	5	could	could	AUX
easat-8312	244	6	be	be	AUX
easat-8312	244	7	able	able	ADJ
easat-8312	244	8	to	to	PART
easat-8312	244	9	extract	extract	VERB
easat-8312	244	10	richer	rich	ADJ
easat-8312	244	11	features	feature	NOUN
easat-8312	244	12	,	,	PUNCT
easat-8312	244	13	it	it	PRON
easat-8312	244	14	also	also	ADV
easat-8312	244	15	caused	cause	VERB
easat-8312	244	16	the	the	DET
easat-8312	244	17	model	model	NOUN
easat-8312	244	18	to	to	PART
easat-8312	244	19	fall	fall	VERB
easat-8312	244	20	into	into	ADP
easat-8312	244	21	a	a	DET
easat-8312	244	22	local	local	ADJ
easat-8312	244	23	optimum	optimum	NOUN
easat-8312	244	24	,	,	PUNCT
easat-8312	244	25	preventing	prevent	VERB
easat-8312	244	26	further	further	ADJ
easat-8312	244	27	significant	significant	ADJ
easat-8312	244	28	reductions	reduction	NOUN
easat-8312	244	29	in	in	ADP
easat-8312	244	30	the	the	DET
easat-8312	244	31	loss	loss	NOUN
easat-8312	244	32	value	value	NOUN
easat-8312	244	33	.	.	PUNCT
easat-8312	245	1	the	the	DET
easat-8312	245	2	flat	flat	ADJ
easat-8312	245	3	and	and	CCONJ
easat-8312	245	4	jumping	jump	VERB
easat-8312	245	5	changes	change	NOUN
easat-8312	245	6	in	in	ADP
easat-8312	245	7	different	different	ADJ
easat-8312	245	8	model	model	NOUN
easat-8312	245	9	curves	curve	NOUN
easat-8312	245	10	were	be	AUX
easat-8312	245	11	closely	closely	ADV
easat-8312	245	12	related	relate	VERB
easat-8312	245	13	to	to	ADP
easat-8312	245	14	the	the	DET
easat-8312	245	15	complexity	complexity	NOUN
easat-8312	245	16	of	of	ADP
easat-8312	245	17	the	the	DET
easat-8312	245	18	model	model	NOUN
easat-8312	245	19	,	,	PUNCT
easat-8312	245	20	optimization	optimization	NOUN
easat-8312	245	21	difficulty	difficulty	NOUN
easat-8312	245	22	,	,	PUNCT
easat-8312	245	23	and	and	CCONJ
easat-8312	245	24	the	the	DET
easat-8312	245	25	structural	structural	ADJ
easat-8312	245	26	characteristics	characteristic	NOUN
easat-8312	245	27	.	.	PUNCT
easat-8312	246	1	although	although	SCONJ
easat-8312	246	2	cnn	cnn	PROPN
easat-8312	246	3	-	-	PUNCT
easat-8312	246	4	bigru	bigru	NOUN
easat-8312	246	5	-	-	PUNCT
easat-8312	246	6	tpa	tpa	NOUN
easat-8312	246	7	exhibited	exhibit	VERB
easat-8312	246	8	superior	superior	ADJ
easat-8312	246	9	classification	classification	NOUN
easat-8312	246	10	performance	performance	NOUN
easat-8312	246	11	,	,	PUNCT
easat-8312	246	12	the	the	DET
easat-8312	246	13	model	model	NOUN
easat-8312	246	14	's	's	PART
easat-8312	246	15	complexity	complexity	NOUN
easat-8312	246	16	caused	cause	VERB
easat-8312	246	17	the	the	DET
easat-8312	246	18	loss	loss	NOUN
easat-8312	246	19	value	value	NOUN
easat-8312	246	20	to	to	ADP
easat-8312	246	21	plateau	plateau	NOUN
easat-8312	246	22	,	,	PUNCT
easat-8312	246	23	reflecting	reflect	VERB
easat-8312	246	24	the	the	DET
easat-8312	246	25	model	model	NOUN
easat-8312	246	26	's	's	PART
easat-8312	246	27	tendency	tendency	NOUN
easat-8312	246	28	to	to	PART
easat-8312	246	29	converge	converge	VERB
easat-8312	246	30	to	to	ADP
easat-8312	246	31	a	a	DET
easat-8312	246	32	local	local	ADJ
easat-8312	246	33	optimum	optimum	NOUN
easat-8312	246	34	during	during	ADP
easat-8312	246	35	optimization	optimization	NOUN
easat-8312	246	36	.	.	PUNCT
easat-8312	247	1	4.4	4.4	NUM
easat-8312	247	2	.	.	PUNCT
easat-8312	248	1	baseline	baseline	PROPN
easat-8312	248	2	comparison	comparison	NOUN
easat-8312	248	3	table	table	NOUN
easat-8312	248	4	4	4	NUM
easat-8312	248	5	shows	show	VERB
easat-8312	248	6	the	the	DET
easat-8312	248	7	performance	performance	NOUN
easat-8312	248	8	of	of	ADP
easat-8312	248	9	six	six	NUM
easat-8312	248	10	models	model	NOUN
easat-8312	248	11	in	in	ADP
easat-8312	248	12	detecting	detect	VERB
easat-8312	248	13	wind	wind	NOUN
easat-8312	248	14	turbine	turbine	NOUN
easat-8312	248	15	blade	blade	NOUN
easat-8312	248	16	icing	icing	NOUN
easat-8312	248	17	,	,	PUNCT
easat-8312	248	18	evaluated	evaluate	VERB
easat-8312	248	19	on	on	ADP
easat-8312	248	20	five	five	NUM
easat-8312	248	21	key	key	ADJ
easat-8312	248	22	metrics	metric	NOUN
easat-8312	248	23	:	:	PUNCT
easat-8312	248	24	recall	recall	NOUN
easat-8312	248	25	,	,	PUNCT
easat-8312	248	26	precision	precision	NOUN
easat-8312	248	27	,	,	PUNCT
easat-8312	248	28	accuracy	accuracy	NOUN
easat-8312	248	29	(	(	PUNCT
easat-8312	248	30	acc	acc	PROPN
easat-8312	248	31	)	)	PUNCT
easat-8312	248	32	,	,	PUNCT
easat-8312	248	33	f1	f1	NOUN
easat-8312	248	34	score	score	NOUN
easat-8312	248	35	(	(	PUNCT
easat-8312	248	36	f1	f1	NOUN
easat-8312	248	37	)	)	PUNCT
easat-8312	248	38	,	,	PUNCT
easat-8312	248	39	and	and	CCONJ
easat-8312	248	40	matthews	matthews	PROPN
easat-8312	248	41	correlation	correlation	NOUN
easat-8312	248	42	2050	2050	NUM
easat-8312	248	43	edelweiss	edelweiss	PROPN
easat-8312	248	44	applied	apply	VERB
easat-8312	248	45	science	science	NOUN
easat-8312	248	46	and	and	CCONJ
easat-8312	248	47	technology	technology	NOUN
easat-8312	248	48	issn	issn	PROPN
easat-8312	248	49	:	:	PUNCT
easat-8312	248	50	2576	2576	NUM
easat-8312	248	51	-	-	SYM
easat-8312	248	52	8484	8484	NUM
easat-8312	248	53	vol	vol	NOUN
easat-8312	248	54	.	.	PROPN
easat-8312	249	1	9	9	NUM
easat-8312	249	2	,	,	PUNCT
easat-8312	249	3	no	no	INTJ
easat-8312	249	4	.	.	NOUN
easat-8312	249	5	6	6	NUM
easat-8312	249	6	:	:	SYM
easat-8312	249	7	2035	2035	NUM
easat-8312	249	8	-	-	SYM
easat-8312	249	9	2054	2054	NUM
easat-8312	249	10	,	,	PUNCT
easat-8312	249	11	2025	2025	NUM
easat-8312	249	12	doi	doi	NOUN
easat-8312	249	13	:	:	PUNCT
easat-8312	249	14	10.55214/25768484.v9i6.8312	10.55214/25768484.v9i6.8312	PROPN
easat-8312	249	15	©	©	PROPN
easat-8312	249	16	2025	2025	NUM
easat-8312	249	17	by	by	ADP
easat-8312	249	18	the	the	DET
easat-8312	249	19	authors	author	NOUN
easat-8312	249	20	;	;	PUNCT
easat-8312	249	21	licensee	licensee	PROPN
easat-8312	249	22	learning	learn	VERB
easat-8312	249	23	gate	gate	PROPN
easat-8312	249	24	coefficient	coefficient	NOUN
easat-8312	249	25	(	(	PUNCT
easat-8312	249	26	mcc	mcc	NOUN
easat-8312	249	27	)	)	PUNCT
easat-8312	249	28	.	.	PUNCT
easat-8312	250	1	a	a	DET
easat-8312	250	2	comparison	comparison	NOUN
easat-8312	250	3	of	of	ADP
easat-8312	250	4	these	these	DET
easat-8312	250	5	metrics	metric	NOUN
easat-8312	250	6	indicates	indicate	VERB
easat-8312	250	7	that	that	SCONJ
easat-8312	250	8	the	the	DET
easat-8312	250	9	cnn	cnn	PROPN
easat-8312	250	10	-	-	PUNCT
easat-8312	250	11	bigru	bigru	NOUN
easat-8312	250	12	-	-	PUNCT
easat-8312	250	13	tpa	tpa	NOUN
easat-8312	250	14	model	model	NOUN
easat-8312	250	15	outperforms	outperform	VERB
easat-8312	250	16	the	the	DET
easat-8312	250	17	others	other	NOUN
easat-8312	250	18	.	.	PUNCT
easat-8312	251	1	table	table	NOUN
easat-8312	251	2	4	4	NUM
easat-8312	251	3	.	.	PUNCT
easat-8312	252	1	classification	classification	NOUN
easat-8312	252	2	results	result	NOUN
easat-8312	252	3	of	of	ADP
easat-8312	252	4	six	six	NUM
easat-8312	252	5	models	model	NOUN
easat-8312	252	6	.	.	PUNCT
easat-8312	253	1	models	model	NOUN
easat-8312	253	2	recall	recall	VERB
easat-8312	253	3	precision	precision	PROPN
easat-8312	253	4	acc	acc	PROPN
easat-8312	253	5	f1	f1	PROPN
easat-8312	253	6	mcc	mcc	PROPN
easat-8312	253	7	cnn	cnn	PROPN
easat-8312	253	8	-	-	PROPN
easat-8312	253	9	tpa	tpa	PROPN
easat-8312	253	10	0.7967	0.7967	NUM
easat-8312	253	11	0.8051	0.8051	NUM
easat-8312	253	12	0.7874	0.7874	NUM
easat-8312	253	13	0.7868	0.7868	NUM
easat-8312	253	14	0.6017	0.6017	NUM
easat-8312	253	15	lstm	lstm	ADJ
easat-8312	253	16	-	-	PUNCT
easat-8312	253	17	tpa	tpa	NOUN
easat-8312	253	18	0.7807	0.7807	NUM
easat-8312	253	19	0.7929	0.7929	NUM
easat-8312	253	20	0.7701	0.7701	NUM
easat-8312	253	21	0.7690	0.7690	NUM
easat-8312	253	22	0.5735	0.5735	NUM
easat-8312	253	23	gru	gru	NOUN
easat-8312	253	24	-	-	NOUN
easat-8312	253	25	tpa	tpa	NOUN
easat-8312	253	26	0.7210	0.7210	NUM
easat-8312	253	27	0.7263	0.7263	NUM
easat-8312	253	28	0.7126	0.7126	NUM
easat-8312	253	29	0.7120	0.7120	NUM
easat-8312	253	30	0.4473	0.4473	NUM
easat-8312	253	31	bilstm	bilstm	NOUN
easat-8312	253	32	-	-	PUNCT
easat-8312	253	33	tpa	tpa	NOUN
easat-8312	253	34	0.7044	0.7044	NUM
easat-8312	253	35	0.7284	0.7284	NUM
easat-8312	253	36	0.6897	0.6897	NUM
easat-8312	253	37	0.6846	0.6846	NUM
easat-8312	253	38	0.4322	0.4322	NUM
easat-8312	253	39	bigru	bigru	NOUN
easat-8312	253	40	-	-	PUNCT
easat-8312	253	41	tpa	tpa	NOUN
easat-8312	253	42	0.7495	0.7495	NUM
easat-8312	253	43	0.7544	0.7544	NUM
easat-8312	253	44	0.7414	0.7414	NUM
easat-8312	253	45	0.7410	0.7410	NUM
easat-8312	253	46	0.5039	0.5039	NUM
easat-8312	253	47	cnn	cnn	PROPN
easat-8312	253	48	-	-	PUNCT
easat-8312	253	49	bigru	bigru	NOUN
easat-8312	253	50	-	-	PUNCT
easat-8312	253	51	tpa	tpa	NOUN
easat-8312	253	52	0.88961	0.88961	NUM
easat-8312	253	53	0.89041	0.89041	NUM
easat-8312	253	54	0.89081	0.89081	NUM
easat-8312	253	55	0.89001	0.89001	NUM
easat-8312	253	56	0.78001	0.78001	NUM
easat-8312	253	57	from	from	ADP
easat-8312	253	58	the	the	DET
easat-8312	253	59	perspective	perspective	NOUN
easat-8312	253	60	of	of	ADP
easat-8312	253	61	accuracy	accuracy	NOUN
easat-8312	253	62	,	,	PUNCT
easat-8312	253	63	f1	f1	NOUN
easat-8312	253	64	-	-	PUNCT
easat-8312	253	65	score	score	NOUN
easat-8312	253	66	,	,	PUNCT
easat-8312	253	67	precision	precision	NOUN
easat-8312	253	68	,	,	PUNCT
easat-8312	253	69	recall	recall	NOUN
easat-8312	253	70	,	,	PUNCT
easat-8312	253	71	and	and	CCONJ
easat-8312	253	72	mcc	mcc	NOUN
easat-8312	253	73	,	,	PUNCT
easat-8312	253	74	the	the	DET
easat-8312	253	75	cnn	cnn	PROPN
easat-8312	253	76	-	-	PUNCT
easat-8312	253	77	bigru	bigru	NOUN
easat-8312	253	78	-	-	PUNCT
easat-8312	253	79	tpa	tpa	NOUN
easat-8312	253	80	model	model	NOUN
easat-8312	253	81	showed	show	VERB
easat-8312	253	82	obvious	obvious	ADJ
easat-8312	253	83	comprehensive	comprehensive	ADJ
easat-8312	253	84	advantages	advantage	NOUN
easat-8312	253	85	.	.	PUNCT
easat-8312	254	1	first	first	ADV
easat-8312	254	2	,	,	PUNCT
easat-8312	254	3	on	on	ADP
easat-8312	254	4	the	the	DET
easat-8312	254	5	accuracy	accuracy	NOUN
easat-8312	254	6	,	,	PUNCT
easat-8312	254	7	cnn	cnn	PROPN
easat-8312	254	8	-	-	PUNCT
easat-8312	254	9	bigru	bigru	NOUN
easat-8312	254	10	-	-	PUNCT
easat-8312	254	11	tpa	tpa	NOUN
easat-8312	254	12	reached	reach	VERB
easat-8312	254	13	0.89081	0.89081	NUM
easat-8312	254	14	,	,	PUNCT
easat-8312	254	15	which	which	PRON
easat-8312	254	16	was	be	AUX
easat-8312	254	17	about	about	ADV
easat-8312	254	18	20%-25	20%-25	NUM
easat-8312	254	19	%	%	NOUN
easat-8312	254	20	higher	high	ADJ
easat-8312	254	21	than	than	ADP
easat-8312	254	22	the	the	DET
easat-8312	254	23	0.7414	0.7414	NUM
easat-8312	254	24	and	and	CCONJ
easat-8312	254	25	0.7126	0.7126	NUM
easat-8312	254	26	of	of	ADP
easat-8312	254	27	bigru	bigru	NOUN
easat-8312	254	28	-	-	PUNCT
easat-8312	254	29	tpa	tpa	NOUN
easat-8312	254	30	and	and	CCONJ
easat-8312	254	31	gru	gru	NOUN
easat-8312	254	32	-	-	NOUN
easat-8312	254	33	tpa	tpa	PROPN
easat-8312	254	34	,	,	PUNCT
easat-8312	254	35	showing	show	VERB
easat-8312	254	36	a	a	DET
easat-8312	254	37	significant	significant	ADJ
easat-8312	254	38	improvement	improvement	NOUN
easat-8312	254	39	in	in	ADP
easat-8312	254	40	classification	classification	NOUN
easat-8312	254	41	accuracy	accuracy	NOUN
easat-8312	254	42	.	.	PUNCT
easat-8312	255	1	on	on	ADP
easat-8312	255	2	f1	f1	NOUN
easat-8312	255	3	-	-	PUNCT
easat-8312	255	4	score	score	NOUN
easat-8312	255	5	,	,	PUNCT
easat-8312	255	6	cnn	cnn	PROPN
easat-8312	255	7	-	-	PUNCT
easat-8312	255	8	bigru	bigru	NOUN
easat-8312	255	9	-	-	PUNCT
easat-8312	255	10	tpa	tpa	NOUN
easat-8312	255	11	reached	reach	VERB
easat-8312	255	12	0.89001	0.89001	NUM
easat-8312	255	13	,	,	PUNCT
easat-8312	255	14	an	an	DET
easat-8312	255	15	improvement	improvement	NOUN
easat-8312	255	16	of	of	ADP
easat-8312	255	17	about	about	ADV
easat-8312	255	18	10	10	NUM
easat-8312	255	19	%	%	NOUN
easat-8312	255	20	over	over	ADP
easat-8312	255	21	other	other	ADJ
easat-8312	255	22	models	model	NOUN
easat-8312	255	23	,	,	PUNCT
easat-8312	255	24	especially	especially	ADV
easat-8312	255	25	compared	compare	VERB
easat-8312	255	26	to	to	ADP
easat-8312	255	27	bilstm	bilstm	NOUN
easat-8312	255	28	-	-	PUNCT
easat-8312	255	29	tpa	tpa	PROPN
easat-8312	255	30	's	's	PART
easat-8312	255	31	0.6846	0.6846	NUM
easat-8312	255	32	.	.	PUNCT
easat-8312	256	1	at	at	ADP
easat-8312	256	2	the	the	DET
easat-8312	256	3	same	same	ADJ
easat-8312	256	4	time	time	NOUN
easat-8312	256	5	,	,	PUNCT
easat-8312	256	6	for	for	ADP
easat-8312	256	7	precision	precision	NOUN
easat-8312	256	8	and	and	CCONJ
easat-8312	256	9	recall	recall	NOUN
easat-8312	256	10	,	,	PUNCT
easat-8312	256	11	the	the	DET
easat-8312	256	12	cnn	cnn	PROPN
easat-8312	256	13	-	-	PUNCT
easat-8312	256	14	bigru	bigru	NOUN
easat-8312	256	15	-	-	PUNCT
easat-8312	256	16	tpa	tpa	NOUN
easat-8312	256	17	achieved	achieve	VERB
easat-8312	256	18	0.89041	0.89041	NUM
easat-8312	256	19	and	and	CCONJ
easat-8312	256	20	0.88961	0.88961	NUM
easat-8312	256	21	,	,	PUNCT
easat-8312	256	22	respectively	respectively	ADV
easat-8312	256	23	,	,	PUNCT
easat-8312	256	24	much	much	ADV
easat-8312	256	25	higher	high	ADJ
easat-8312	256	26	than	than	ADP
easat-8312	256	27	other	other	ADJ
easat-8312	256	28	models	model	NOUN
easat-8312	256	29	,	,	PUNCT
easat-8312	256	30	demonstrating	demonstrate	VERB
easat-8312	256	31	excellent	excellent	ADJ
easat-8312	256	32	balance	balance	NOUN
easat-8312	256	33	when	when	SCONJ
easat-8312	256	34	detecting	detect	VERB
easat-8312	256	35	positive	positive	ADJ
easat-8312	256	36	and	and	CCONJ
easat-8312	256	37	negative	negative	ADJ
easat-8312	256	38	samples	sample	NOUN
easat-8312	256	39	.	.	PUNCT
easat-8312	257	1	in	in	ADP
easat-8312	257	2	addition	addition	NOUN
easat-8312	257	3	,	,	PUNCT
easat-8312	257	4	in	in	ADP
easat-8312	257	5	the	the	DET
easat-8312	257	6	mcc	mcc	PROPN
easat-8312	257	7	indicator	indicator	NOUN
easat-8312	257	8	,	,	PUNCT
easat-8312	257	9	cnn	cnn	PROPN
easat-8312	257	10	-	-	PUNCT
easat-8312	257	11	bigru	bigru	NOUN
easat-8312	257	12	-	-	PUNCT
easat-8312	257	13	tpa	tpa	NOUN
easat-8312	257	14	reached	reach	VERB
easat-8312	257	15	0.78001	0.78001	NUM
easat-8312	257	16	,	,	PUNCT
easat-8312	257	17	which	which	PRON
easat-8312	257	18	was	be	AUX
easat-8312	257	19	36	36	NUM
easat-8312	257	20	%	%	NOUN
easat-8312	257	21	higher	high	ADJ
easat-8312	257	22	than	than	ADP
easat-8312	257	23	that	that	PRON
easat-8312	257	24	of	of	ADP
easat-8312	257	25	lstm	lstm	NOUN
easat-8312	257	26	-	-	PUNCT
easat-8312	257	27	tpa	tpa	NOUN
easat-8312	257	28	of	of	ADP
easat-8312	257	29	0.5735	0.5735	NUM
easat-8312	257	30	,	,	PUNCT
easat-8312	257	31	indicating	indicate	VERB
easat-8312	257	32	that	that	SCONJ
easat-8312	257	33	it	it	PRON
easat-8312	257	34	was	be	AUX
easat-8312	257	35	more	more	ADV
easat-8312	257	36	robust	robust	ADJ
easat-8312	257	37	in	in	ADP
easat-8312	257	38	dealing	deal	VERB
easat-8312	257	39	with	with	ADP
easat-8312	257	40	the	the	DET
easat-8312	257	41	classification	classification	NOUN
easat-8312	257	42	task	task	NOUN
easat-8312	257	43	of	of	ADP
easat-8312	257	44	unbalanced	unbalanced	ADJ
easat-8312	257	45	data	datum	NOUN
easat-8312	257	46	.	.	PUNCT
easat-8312	258	1	in	in	ADP
easat-8312	258	2	conclusion	conclusion	NOUN
easat-8312	258	3	,	,	PUNCT
easat-8312	258	4	the	the	DET
easat-8312	258	5	cnn	cnn	PROPN
easat-8312	258	6	-	-	PUNCT
easat-8312	258	7	bigru	bigru	NOUN
easat-8312	258	8	-	-	PUNCT
easat-8312	258	9	tpa	tpa	NOUN
easat-8312	258	10	model	model	NOUN
easat-8312	258	11	significantly	significantly	ADV
easat-8312	258	12	improved	improve	VERB
easat-8312	258	13	the	the	DET
easat-8312	258	14	classification	classification	NOUN
easat-8312	258	15	performance	performance	NOUN
easat-8312	258	16	by	by	ADP
easat-8312	258	17	combining	combine	VERB
easat-8312	258	18	the	the	DET
easat-8312	258	19	feature	feature	NOUN
easat-8312	258	20	extraction	extraction	NOUN
easat-8312	258	21	capabilities	capability	NOUN
easat-8312	258	22	of	of	ADP
easat-8312	258	23	cnn	cnn	PROPN
easat-8312	258	24	and	and	CCONJ
easat-8312	258	25	the	the	DET
easat-8312	258	26	temporal	temporal	ADJ
easat-8312	258	27	information	information	NOUN
easat-8312	258	28	capture	capture	NOUN
easat-8312	258	29	advantages	advantage	NOUN
easat-8312	258	30	of	of	ADP
easat-8312	258	31	bigru	bigru	NOUN
easat-8312	258	32	.	.	PUNCT
easat-8312	259	1	in	in	ADP
easat-8312	259	2	contrast	contrast	NOUN
easat-8312	259	3	,	,	PUNCT
easat-8312	259	4	the	the	DET
easat-8312	259	5	indicators	indicator	NOUN
easat-8312	259	6	of	of	ADP
easat-8312	259	7	lstm	lstm	PROPN
easat-8312	259	8	-	-	PUNCT
easat-8312	259	9	tpa	tpa	PROPN
easat-8312	259	10	and	and	CCONJ
easat-8312	259	11	gru	gru	PROPN
easat-8312	259	12	-	-	PROPN
easat-8312	259	13	tpa	tpa	PROPN
easat-8312	259	14	were	be	AUX
easat-8312	259	15	slightly	slightly	ADV
easat-8312	259	16	lower	low	ADJ
easat-8312	259	17	than	than	ADP
easat-8312	259	18	those	those	PRON
easat-8312	259	19	of	of	ADP
easat-8312	259	20	the	the	DET
easat-8312	259	21	cnn	cnn	PROPN
easat-8312	259	22	-	-	PUNCT
easat-8312	259	23	tpa	tpa	PROPN
easat-8312	259	24	models	model	NOUN
easat-8312	259	25	,	,	PUNCT
easat-8312	259	26	especially	especially	ADV
easat-8312	259	27	on	on	ADP
easat-8312	259	28	precision	precision	NOUN
easat-8312	259	29	and	and	CCONJ
easat-8312	259	30	recall	recall	NOUN
easat-8312	259	31	,	,	PUNCT
easat-8312	259	32	both	both	PRON
easat-8312	259	33	of	of	ADP
easat-8312	259	34	which	which	PRON
easat-8312	259	35	did	do	AUX
easat-8312	259	36	not	not	PART
easat-8312	259	37	reach	reach	VERB
easat-8312	259	38	the	the	DET
easat-8312	259	39	performance	performance	NOUN
easat-8312	259	40	level	level	NOUN
easat-8312	259	41	of	of	ADP
easat-8312	259	42	cnn	cnn	PROPN
easat-8312	259	43	-	-	PUNCT
easat-8312	259	44	bigru	bigru	NOUN
easat-8312	259	45	-	-	PUNCT
easat-8312	259	46	tpa	tpa	NOUN
easat-8312	259	47	,	,	PUNCT
easat-8312	259	48	suggesting	suggest	VERB
easat-8312	259	49	that	that	SCONJ
easat-8312	259	50	they	they	PRON
easat-8312	259	51	had	have	VERB
easat-8312	259	52	some	some	DET
easat-8312	259	53	errors	error	NOUN
easat-8312	259	54	and	and	CCONJ
easat-8312	259	55	limitations	limitation	NOUN
easat-8312	259	56	in	in	ADP
easat-8312	259	57	detecting	detect	VERB
easat-8312	259	58	positive	positive	ADJ
easat-8312	259	59	and	and	CCONJ
easat-8312	259	60	negative	negative	ADJ
easat-8312	259	61	samples	sample	NOUN
easat-8312	259	62	of	of	ADP
easat-8312	259	63	wind	wind	NOUN
easat-8312	259	64	turbine	turbine	NOUN
easat-8312	259	65	blade	blade	NOUN
easat-8312	259	66	icing	icing	NOUN
easat-8312	259	67	.	.	PUNCT
easat-8312	260	1	on	on	ADP
easat-8312	260	2	the	the	DET
easat-8312	260	3	whole	whole	NOUN
easat-8312	260	4	,	,	PUNCT
easat-8312	260	5	the	the	DET
easat-8312	260	6	improvement	improvement	NOUN
easat-8312	260	7	of	of	ADP
easat-8312	260	8	cnn	cnn	PROPN
easat-8312	260	9	-	-	PUNCT
easat-8312	260	10	bigru	bigru	NOUN
easat-8312	260	11	-	-	NOUN
easat-8312	260	12	tpa	tpa	NOUN
easat-8312	260	13	in	in	ADP
easat-8312	260	14	a	a	DET
easat-8312	260	15	number	number	NOUN
easat-8312	260	16	of	of	ADP
easat-8312	260	17	indicators	indicator	NOUN
easat-8312	260	18	proved	prove	VERB
easat-8312	260	19	its	its	PRON
easat-8312	260	20	absolute	absolute	ADJ
easat-8312	260	21	advantage	advantage	NOUN
easat-8312	260	22	in	in	ADP
easat-8312	260	23	processing	processing	NOUN
easat-8312	260	24	complex	complex	ADJ
easat-8312	260	25	time	time	NOUN
easat-8312	260	26	series	series	NOUN
easat-8312	260	27	data	datum	NOUN
easat-8312	260	28	and	and	CCONJ
easat-8312	260	29	unbalanced	unbalanced	ADJ
easat-8312	260	30	data	datum	NOUN
easat-8312	260	31	,	,	PUNCT
easat-8312	260	32	especially	especially	ADV
easat-8312	260	33	for	for	ADP
easat-8312	260	34	task	task	NOUN
easat-8312	260	35	scenarios	scenario	NOUN
easat-8312	260	36	that	that	PRON
easat-8312	260	37	require	require	VERB
easat-8312	260	38	high	high	ADJ
easat-8312	260	39	-	-	PUNCT
easat-8312	260	40	precision	precision	NOUN
easat-8312	260	41	classification	classification	NOUN
easat-8312	260	42	.	.	PUNCT
easat-8312	261	1	4.5	4.5	NUM
easat-8312	261	2	.	.	PUNCT
easat-8312	262	1	comparison	comparison	NOUN
easat-8312	262	2	to	to	ADP
easat-8312	262	3	different	different	ADJ
easat-8312	262	4	optimization	optimization	NOUN
easat-8312	262	5	approaches	approach	NOUN
easat-8312	262	6	to	to	PART
easat-8312	262	7	further	far	ADV
easat-8312	262	8	demonstrate	demonstrate	VERB
easat-8312	262	9	the	the	DET
easat-8312	262	10	superiority	superiority	NOUN
easat-8312	262	11	of	of	ADP
easat-8312	262	12	the	the	DET
easat-8312	262	13	cnn	cnn	PROPN
easat-8312	262	14	-	-	PUNCT
easat-8312	262	15	bigru	bigru	PROPN
easat-8312	262	16	-	-	PUNCT
easat-8312	262	17	tpa	tpa	NOUN
easat-8312	262	18	model	model	NOUN
easat-8312	262	19	,	,	PUNCT
easat-8312	262	20	this	this	DET
easat-8312	262	21	paper	paper	NOUN
easat-8312	262	22	compares	compare	VERB
easat-8312	262	23	models	model	NOUN
easat-8312	262	24	without	without	ADP
easat-8312	262	25	attention	attention	NOUN
easat-8312	262	26	mechanisms	mechanism	NOUN
easat-8312	262	27	(	(	PUNCT
easat-8312	262	28	such	such	ADJ
easat-8312	262	29	as	as	ADP
easat-8312	262	30	mlp	mlp	PROPN
easat-8312	262	31	and	and	CCONJ
easat-8312	262	32	resnet	resnet	NOUN
easat-8312	262	33	)	)	PUNCT
easat-8312	262	34	with	with	ADP
easat-8312	262	35	models	model	NOUN
easat-8312	262	36	incorporating	incorporate	VERB
easat-8312	262	37	attention	attention	NOUN
easat-8312	262	38	modules	module	NOUN
easat-8312	262	39	(	(	PUNCT
easat-8312	262	40	such	such	ADJ
easat-8312	262	41	as	as	ADP
easat-8312	262	42	se	se	PROPN
easat-8312	262	43	,	,	PUNCT
easat-8312	262	44	ga	ga	PROPN
easat-8312	262	45	-	-	PUNCT
easat-8312	262	46	bigru	bigru	NOUN
easat-8312	262	47	-	-	PUNCT
easat-8312	262	48	tpa	tpa	NOUN
easat-8312	262	49	,	,	PUNCT
easat-8312	262	50	and	and	CCONJ
easat-8312	262	51	gwo	gwo	PROPN
easat-8312	262	52	-	-	PUNCT
easat-8312	262	53	bigru	bigru	NOUN
easat-8312	262	54	-	-	PUNCT
easat-8312	262	55	tpa	tpa	NOUN
easat-8312	262	56	)	)	PUNCT
easat-8312	262	57	.	.	PUNCT
easat-8312	263	1	the	the	DET
easat-8312	263	2	evaluation	evaluation	NOUN
easat-8312	263	3	metrics	metric	NOUN
easat-8312	263	4	are	be	AUX
easat-8312	263	5	shown	show	VERB
easat-8312	263	6	in	in	ADP
easat-8312	263	7	table	table	NOUN
easat-8312	263	8	5	5	NUM
easat-8312	263	9	.	.	PUNCT
easat-8312	263	10	table	table	NOUN
easat-8312	263	11	5	5	NUM
easat-8312	263	12	.	.	PUNCT
easat-8312	263	13	evaluation	evaluation	NOUN
easat-8312	263	14	metrics	metric	NOUN
easat-8312	263	15	of	of	ADP
easat-8312	263	16	different	different	ADJ
easat-8312	263	17	models	model	NOUN
easat-8312	263	18	.	.	PUNCT
easat-8312	264	1	models	model	NOUN
easat-8312	264	2	recall	recall	VERB
easat-8312	264	3	precision	precision	PROPN
easat-8312	264	4	f1	f1	PROPN
easat-8312	264	5	mcc	mcc	PROPN
easat-8312	264	6	references	reference	NOUN
easat-8312	264	7	mlp	mlp	PROPN
easat-8312	264	8	0.607	0.607	NUM
easat-8312	264	9	0.718	0.718	NUM
easat-8312	264	10	0.714	0.714	NUM
easat-8312	264	11	0.420	0.420	NUM
easat-8312	264	12	[	[	X
easat-8312	264	13	30	30	NUM
easat-8312	264	14	]	]	PUNCT
easat-8312	264	15	resnet	resnet	NOUN
easat-8312	264	16	0.8853	0.8853	NUM
easat-8312	264	17	0.778	0.778	NUM
easat-8312	264	18	0.834	0.834	NUM
easat-8312	264	19	0.674	0.674	NUM
easat-8312	264	20	[	[	X
easat-8312	264	21	30	30	NUM
easat-8312	264	22	]	]	X
easat-8312	264	23	se	se	X
easat-8312	264	24	0.7662	0.7662	NUM
easat-8312	265	1	0.82152	0.82152	NUM
easat-8312	265	2	0.7924	0.7924	NUM
easat-8312	265	3	0.7778	0.7778	NUM
easat-8312	265	4	[	[	X
easat-8312	265	5	29	29	NUM
easat-8312	265	6	]	]	PUNCT
easat-8312	265	7	gtan	gtan	VERB
easat-8312	265	8	0.794	0.794	NUM
easat-8312	265	9	0.808	0.808	NUM
easat-8312	265	10	0.788	0.788	NUM
easat-8312	265	11	0.754	0.754	NUM
easat-8312	265	12	[	[	X
easat-8312	265	13	23	23	NUM
easat-8312	265	14	]	]	X
easat-8312	265	15	ga	ga	NOUN
easat-8312	265	16	-	-	PUNCT
easat-8312	265	17	bigru	bigru	NOUN
easat-8312	265	18	-	-	PUNCT
easat-8312	265	19	tpa	tpa	NOUN
easat-8312	265	20	0.8735	0.8735	NUM
easat-8312	265	21	0.81793	0.81793	NUM
easat-8312	265	22	0.84433	0.84433	NUM
easat-8312	265	23	0.83262	0.83262	NUM
easat-8312	265	24	[	[	PUNCT
easat-8312	265	25	29	29	NUM
easat-8312	265	26	]	]	X
easat-8312	265	27	gwo	gwo	ADJ
easat-8312	265	28	-	-	PUNCT
easat-8312	265	29	bigru	bigru	NOUN
easat-8312	265	30	-	-	PUNCT
easat-8312	265	31	tpa	tpa	NOUN
easat-8312	265	32	0.91581	0.91581	NUM
easat-8312	265	33	0.8141	0.8141	NUM
easat-8312	265	34	0.86182	0.86182	NUM
easat-8312	265	35	0.85231	0.85231	NUM
easat-8312	265	36	[	[	PUNCT
easat-8312	265	37	29	29	NUM
easat-8312	265	38	]	]	X
easat-8312	265	39	cnn	cnn	PROPN
easat-8312	265	40	-	-	PUNCT
easat-8312	265	41	bigru	bigru	NOUN
easat-8312	265	42	-	-	PUNCT
easat-8312	265	43	tpa	tpa	NOUN
easat-8312	265	44	0.88962	0.88962	NUM
easat-8312	265	45	0.89041	0.89041	NUM
easat-8312	265	46	0.89001	0.89001	NUM
easat-8312	265	47	0.78003	0.78003	NUM
easat-8312	265	48	ours	ours	PRON
easat-8312	265	49	the	the	DET
easat-8312	265	50	mlp	mlp	PROPN
easat-8312	265	51	model	model	PROPN
easat-8312	265	52	yuan	yuan	PROPN
easat-8312	265	53	,	,	PUNCT
easat-8312	265	54	et	et	PROPN
easat-8312	265	55	al	al	PROPN
easat-8312	265	56	.	.	PUNCT
easat-8312	266	1	[	[	X
easat-8312	266	2	37	37	NUM
easat-8312	266	3	]	]	PUNCT
easat-8312	266	4	consists	consist	VERB
easat-8312	266	5	of	of	ADP
easat-8312	266	6	three	three	NUM
easat-8312	266	7	fully	fully	ADV
easat-8312	266	8	connected	connect	VERB
easat-8312	266	9	(	(	PUNCT
easat-8312	266	10	fc	fc	INTJ
easat-8312	266	11	)	)	PUNCT
easat-8312	266	12	layers	layer	NOUN
easat-8312	266	13	,	,	PUNCT
easat-8312	266	14	each	each	PRON
easat-8312	266	15	with	with	ADP
easat-8312	266	16	500	500	NUM
easat-8312	266	17	hidden	hide	VERB
easat-8312	266	18	nodes	node	NOUN
easat-8312	266	19	,	,	PUNCT
easat-8312	266	20	and	and	CCONJ
easat-8312	266	21	dropout	dropout	NOUN
easat-8312	266	22	layers	layer	NOUN
easat-8312	266	23	between	between	ADP
easat-8312	266	24	them	they	PRON
easat-8312	266	25	,	,	PUNCT
easat-8312	266	26	serving	serve	VERB
easat-8312	266	27	as	as	ADP
easat-8312	266	28	a	a	DET
easat-8312	266	29	basic	basic	ADJ
easat-8312	266	30	baseline	baseline	NOUN
easat-8312	266	31	model	model	NOUN
easat-8312	266	32	.	.	PUNCT
easat-8312	267	1	on	on	ADP
easat-8312	267	2	the	the	DET
easat-8312	267	3	other	other	ADJ
easat-8312	267	4	hand	hand	NOUN
easat-8312	267	5	,	,	PUNCT
easat-8312	267	6	resnet	resnet	VERB
easat-8312	267	7	[	[	X
easat-8312	267	8	38	38	NUM
easat-8312	267	9	]	]	PUNCT
easat-8312	267	10	is	be	AUX
easat-8312	267	11	a	a	DET
easat-8312	267	12	widely	widely	ADV
easat-8312	267	13	used	use	VERB
easat-8312	267	14	cnn	cnn	PROPN
easat-8312	267	15	variant	variant	NOUN
easat-8312	267	16	in	in	ADP
easat-8312	267	17	time	time	NOUN
easat-8312	267	18	series	series	PROPN
easat-8312	267	19	classification	classification	PROPN
easat-8312	267	20	(	(	PUNCT
easat-8312	267	21	tsc	tsc	NOUN
easat-8312	267	22	)	)	PUNCT
easat-8312	267	23	tasks	task	NOUN
easat-8312	267	24	,	,	PUNCT
easat-8312	267	25	with	with	SCONJ
easat-8312	267	26	a	a	DET
easat-8312	267	27	complex	complex	ADJ
easat-8312	267	28	and	and	CCONJ
easat-8312	267	29	2051	2051	NUM
easat-8312	267	30	edelweiss	edelweiss	PROPN
easat-8312	267	31	applied	apply	VERB
easat-8312	267	32	science	science	NOUN
easat-8312	267	33	and	and	CCONJ
easat-8312	267	34	technology	technology	NOUN
easat-8312	267	35	issn	issn	PROPN
easat-8312	267	36	:	:	PUNCT
easat-8312	267	37	2576	2576	NUM
easat-8312	267	38	-	-	SYM
easat-8312	267	39	8484	8484	NUM
easat-8312	267	40	vol	vol	NOUN
easat-8312	267	41	.	.	PROPN
easat-8312	268	1	9	9	NUM
easat-8312	268	2	,	,	PUNCT
easat-8312	268	3	no	no	INTJ
easat-8312	268	4	.	.	NOUN
easat-8312	268	5	6	6	NUM
easat-8312	268	6	:	:	SYM
easat-8312	268	7	2035	2035	NUM
easat-8312	268	8	-	-	SYM
easat-8312	268	9	2054	2054	NUM
easat-8312	268	10	,	,	PUNCT
easat-8312	268	11	2025	2025	NUM
easat-8312	268	12	doi	doi	NOUN
easat-8312	268	13	:	:	PUNCT
easat-8312	268	14	10.55214/25768484.v9i6.8312	10.55214/25768484.v9i6.8312	PROPN
easat-8312	268	15	©	©	PROPN
easat-8312	268	16	2025	2025	NUM
easat-8312	268	17	by	by	ADP
easat-8312	268	18	the	the	DET
easat-8312	268	19	authors	author	NOUN
easat-8312	268	20	;	;	PUNCT
easat-8312	268	21	licensee	licensee	PROPN
easat-8312	268	22	learning	learning	NOUN
easat-8312	268	23	gate	gate	VERB
easat-8312	268	24	deep	deep	ADJ
easat-8312	268	25	architecture	architecture	NOUN
easat-8312	268	26	capable	capable	ADJ
easat-8312	268	27	of	of	ADP
easat-8312	268	28	extracting	extract	VERB
easat-8312	268	29	rich	rich	ADJ
easat-8312	268	30	features	feature	NOUN
easat-8312	268	31	.	.	PUNCT
easat-8312	269	1	however	however	ADV
easat-8312	269	2	,	,	PUNCT
easat-8312	269	3	both	both	PRON
easat-8312	269	4	of	of	ADP
easat-8312	269	5	these	these	DET
easat-8312	269	6	models	model	NOUN
easat-8312	269	7	do	do	AUX
easat-8312	269	8	not	not	PART
easat-8312	269	9	incorporate	incorporate	VERB
easat-8312	269	10	temporal	temporal	ADJ
easat-8312	269	11	attention	attention	NOUN
easat-8312	269	12	(	(	PUNCT
easat-8312	269	13	ta	ta	NOUN
easat-8312	269	14	)	)	PUNCT
easat-8312	269	15	mechanisms	mechanism	NOUN
easat-8312	269	16	,	,	PUNCT
easat-8312	269	17	limiting	limit	VERB
easat-8312	269	18	their	their	PRON
easat-8312	269	19	baseline	baseline	ADJ
easat-8312	269	20	performance	performance	NOUN
easat-8312	269	21	.	.	PUNCT
easat-8312	270	1	to	to	PART
easat-8312	270	2	address	address	VERB
easat-8312	270	3	this	this	PRON
easat-8312	270	4	,	,	PUNCT
easat-8312	270	5	the	the	DET
easat-8312	270	6	se	se	PROPN
easat-8312	270	7	model	model	NOUN
easat-8312	271	1	[	[	X
easat-8312	271	2	39	39	NUM
easat-8312	271	3	]	]	PUNCT
easat-8312	271	4	incorporated	incorporate	VERB
easat-8312	271	5	the	the	DET
easat-8312	271	6	squeeze	squeeze	NOUN
easat-8312	271	7	-	-	PUNCT
easat-8312	271	8	and	and	CCONJ
easat-8312	271	9	-	-	PUNCT
easat-8312	271	10	excitation	excitation	NOUN
easat-8312	271	11	(	(	PUNCT
easat-8312	271	12	se	se	ADJ
easat-8312	271	13	)	)	PUNCT
easat-8312	271	14	module	module	NOUN
easat-8312	271	15	,	,	PUNCT
easat-8312	271	16	which	which	PRON
easat-8312	271	17	captures	capture	VERB
easat-8312	271	18	channel	channel	NOUN
easat-8312	271	19	interdependencies	interdependency	NOUN
easat-8312	271	20	and	and	CCONJ
easat-8312	271	21	adaptively	adaptively	ADV
easat-8312	271	22	adjusts	adjust	VERB
easat-8312	271	23	the	the	DET
easat-8312	271	24	feature	feature	NOUN
easat-8312	271	25	responses	response	NOUN
easat-8312	271	26	.	.	PUNCT
easat-8312	272	1	additionally	additionally	ADV
easat-8312	272	2	,	,	PUNCT
easat-8312	272	3	the	the	DET
easat-8312	272	4	gtan	gtan	ADJ
easat-8312	272	5	model	model	NOUN
easat-8312	272	6	introduces	introduce	VERB
easat-8312	272	7	a	a	DET
easat-8312	272	8	feature	feature	NOUN
easat-8312	272	9	extraction	extraction	NOUN
easat-8312	272	10	module	module	NOUN
easat-8312	272	11	designed	design	VERB
easat-8312	272	12	to	to	PART
easat-8312	272	13	enhance	enhance	VERB
easat-8312	272	14	the	the	DET
easat-8312	272	15	differentiation	differentiation	NOUN
easat-8312	272	16	between	between	ADP
easat-8312	272	17	various	various	ADJ
easat-8312	272	18	sensor	sensor	NOUN
easat-8312	272	19	data	datum	NOUN
easat-8312	272	20	categories	category	NOUN
easat-8312	272	21	while	while	SCONJ
easat-8312	272	22	integrating	integrate	VERB
easat-8312	272	23	a	a	DET
easat-8312	272	24	temporal	temporal	ADJ
easat-8312	272	25	attention	attention	NOUN
easat-8312	272	26	(	(	PUNCT
easat-8312	272	27	ta	ta	NOUN
easat-8312	272	28	)	)	PUNCT
easat-8312	272	29	mechanism	mechanism	NOUN
easat-8312	272	30	to	to	PART
easat-8312	272	31	improve	improve	VERB
easat-8312	272	32	sensitivity	sensitivity	NOUN
easat-8312	272	33	to	to	ADP
easat-8312	272	34	temporal	temporal	ADJ
easat-8312	272	35	features	feature	NOUN
easat-8312	272	36	.	.	PUNCT
easat-8312	273	1	the	the	DET
easat-8312	273	2	inclusion	inclusion	NOUN
easat-8312	273	3	of	of	ADP
easat-8312	273	4	these	these	DET
easat-8312	273	5	attention	attention	NOUN
easat-8312	273	6	mechanisms	mechanism	NOUN
easat-8312	273	7	enabled	enable	VERB
easat-8312	273	8	the	the	DET
easat-8312	273	9	models	model	NOUN
easat-8312	273	10	to	to	PART
easat-8312	273	11	handle	handle	VERB
easat-8312	273	12	complex	complex	ADJ
easat-8312	273	13	time	time	NOUN
easat-8312	273	14	series	series	NOUN
easat-8312	273	15	data	data	VERB
easat-8312	273	16	more	more	ADV
easat-8312	273	17	effectively	effectively	ADV
easat-8312	273	18	.	.	PUNCT
easat-8312	274	1	the	the	DET
easat-8312	274	2	ga	ga	PROPN
easat-8312	274	3	-	-	PUNCT
easat-8312	274	4	bigru	bigru	NOUN
easat-8312	274	5	-	-	PUNCT
easat-8312	274	6	tpa	tpa	NOUN
easat-8312	274	7	model	model	NOUN
easat-8312	274	8	optimized	optimize	VERB
easat-8312	274	9	the	the	DET
easat-8312	274	10	hyperparameters	hyperparameter	NOUN
easat-8312	274	11	of	of	ADP
easat-8312	274	12	the	the	DET
easat-8312	274	13	bidirectional	bidirectional	ADJ
easat-8312	274	14	gated	gate	VERB
easat-8312	274	15	recurrent	recurrent	ADJ
easat-8312	274	16	unit	unit	NOUN
easat-8312	274	17	(	(	PUNCT
easat-8312	274	18	bigru	bigru	NOUN
easat-8312	274	19	)	)	PUNCT
easat-8312	274	20	through	through	ADP
easat-8312	274	21	genetic	genetic	ADJ
easat-8312	274	22	algorithm	algorithm	NOUN
easat-8312	274	23	(	(	PUNCT
easat-8312	274	24	ga	ga	NOUN
easat-8312	274	25	)	)	PUNCT
easat-8312	275	1	[	[	X
easat-8312	275	2	40	40	NUM
easat-8312	275	3	]	]	PUNCT
easat-8312	275	4	and	and	CCONJ
easat-8312	275	5	combined	combine	VERB
easat-8312	275	6	it	it	PRON
easat-8312	275	7	with	with	ADP
easat-8312	275	8	the	the	DET
easat-8312	275	9	time	time	NOUN
easat-8312	275	10	attention	attention	NOUN
easat-8312	275	11	mechanism	mechanism	NOUN
easat-8312	275	12	(	(	PUNCT
easat-8312	275	13	tpa	tpa	NOUN
easat-8312	275	14	)	)	PUNCT
easat-8312	275	15	to	to	PART
easat-8312	275	16	enhance	enhance	VERB
easat-8312	275	17	the	the	DET
easat-8312	275	18	focus	focus	NOUN
easat-8312	275	19	on	on	ADP
easat-8312	275	20	key	key	ADJ
easat-8312	275	21	time	time	NOUN
easat-8312	275	22	steps	step	NOUN
easat-8312	275	23	and	and	CCONJ
easat-8312	275	24	improved	improve	VERB
easat-8312	275	25	the	the	DET
easat-8312	275	26	prediction	prediction	NOUN
easat-8312	275	27	ability	ability	NOUN
easat-8312	275	28	of	of	ADP
easat-8312	275	29	complex	complex	ADJ
easat-8312	275	30	time	time	NOUN
easat-8312	275	31	series	series	PROPN
easat-8312	275	32	data	data	PROPN
easat-8312	275	33	.	.	PUNCT
easat-8312	276	1	similarly	similarly	ADV
easat-8312	276	2	,	,	PUNCT
easat-8312	276	3	the	the	DET
easat-8312	276	4	gwo	gwo	PROPN
easat-8312	276	5	-	-	PUNCT
easat-8312	276	6	bigru	bigru	NOUN
easat-8312	276	7	-	-	PUNCT
easat-8312	276	8	tpa	tpa	NOUN
easat-8312	276	9	model	model	NOUN
easat-8312	276	10	optimizes	optimize	VERB
easat-8312	276	11	the	the	DET
easat-8312	276	12	bigru	bigru	NOUN
easat-8312	276	13	hyperparametrically	hyperparametrically	ADV
easat-8312	276	14	through	through	ADP
easat-8312	276	15	the	the	DET
easat-8312	276	16	gray	gray	ADJ
easat-8312	276	17	wolf	wolf	NOUN
easat-8312	276	18	optimizer	optimizer	NOUN
easat-8312	276	19	(	(	PUNCT
easat-8312	276	20	gwo	gwo	PROPN
easat-8312	276	21	)	)	PUNCT
easat-8312	277	1	[	[	X
easat-8312	277	2	41	41	NUM
easat-8312	277	3	]	]	PUNCT
easat-8312	277	4	and	and	CCONJ
easat-8312	277	5	combines	combine	VERB
easat-8312	277	6	it	it	PRON
easat-8312	277	7	with	with	ADP
easat-8312	277	8	tpa	tpa	PROPN
easat-8312	277	9	,	,	PUNCT
easat-8312	277	10	which	which	PRON
easat-8312	277	11	further	far	ADV
easat-8312	277	12	improved	improve	VERB
easat-8312	277	13	the	the	DET
easat-8312	277	14	model	model	NOUN
easat-8312	277	15	's	's	PART
easat-8312	277	16	ability	ability	NOUN
easat-8312	277	17	to	to	PART
easat-8312	277	18	capture	capture	VERB
easat-8312	277	19	key	key	ADJ
easat-8312	277	20	temporal	temporal	ADJ
easat-8312	277	21	features	feature	NOUN
easat-8312	277	22	and	and	CCONJ
easat-8312	277	23	exhibits	exhibit	VERB
easat-8312	277	24	higher	high	ADJ
easat-8312	277	25	prediction	prediction	NOUN
easat-8312	277	26	accuracy	accuracy	NOUN
easat-8312	277	27	.	.	PUNCT
easat-8312	278	1	the	the	DET
easat-8312	278	2	cnn	cnn	PROPN
easat-8312	278	3	-	-	PUNCT
easat-8312	278	4	bigru	bigru	NOUN
easat-8312	278	5	-	-	PUNCT
easat-8312	278	6	tpa	tpa	NOUN
easat-8312	278	7	model	model	NOUN
easat-8312	278	8	outperformed	outperform	VERB
easat-8312	278	9	other	other	ADJ
easat-8312	278	10	models	model	NOUN
easat-8312	278	11	in	in	ADP
easat-8312	278	12	key	key	ADJ
easat-8312	278	13	performance	performance	NOUN
easat-8312	278	14	metrics	metric	NOUN
easat-8312	278	15	by	by	ADP
easat-8312	278	16	combining	combine	VERB
easat-8312	278	17	cnn	cnn	PROPN
easat-8312	278	18	's	's	PART
easat-8312	278	19	spatial	spatial	ADJ
easat-8312	278	20	feature	feature	NOUN
easat-8312	278	21	extraction	extraction	NOUN
easat-8312	278	22	,	,	PUNCT
easat-8312	278	23	bigru	bigru	ADP
easat-8312	278	24	's	's	PART
easat-8312	278	25	ability	ability	NOUN
easat-8312	278	26	to	to	PART
easat-8312	278	27	capture	capture	VERB
easat-8312	278	28	time	time	NOUN
easat-8312	278	29	dependence	dependence	NOUN
easat-8312	278	30	,	,	PUNCT
easat-8312	278	31	and	and	CCONJ
easat-8312	278	32	tpa	tpa	PROPN
easat-8312	278	33	's	's	PART
easat-8312	278	34	enhanced	enhance	VERB
easat-8312	278	35	weight	weight	NOUN
easat-8312	278	36	allocation	allocation	NOUN
easat-8312	278	37	across	across	ADP
easat-8312	278	38	time	time	NOUN
easat-8312	278	39	steps	step	NOUN
easat-8312	278	40	.	.	PUNCT
easat-8312	279	1	for	for	ADP
easat-8312	279	2	instance	instance	NOUN
easat-8312	279	3	,	,	PUNCT
easat-8312	279	4	cnn	cnn	PROPN
easat-8312	279	5	-	-	PUNCT
easat-8312	279	6	bigru	bigru	NOUN
easat-8312	279	7	-	-	PUNCT
easat-8312	279	8	tpa	tpa	NOUN
easat-8312	279	9	achieved	achieve	VERB
easat-8312	279	10	a	a	DET
easat-8312	279	11	precision	precision	NOUN
easat-8312	279	12	of	of	ADP
easat-8312	279	13	0.89041	0.89041	NUM
easat-8312	279	14	and	and	CCONJ
easat-8312	279	15	a	a	DET
easat-8312	279	16	recall	recall	NOUN
easat-8312	279	17	of	of	ADP
easat-8312	279	18	0.88962	0.88962	NUM
easat-8312	279	19	,	,	PUNCT
easat-8312	279	20	significantly	significantly	ADV
easat-8312	279	21	surpassing	surpass	VERB
easat-8312	279	22	the	the	DET
easat-8312	279	23	se	se	PROPN
easat-8312	279	24	model	model	PROPN
easat-8312	279	25	(	(	PUNCT
easat-8312	279	26	precision	precision	NOUN
easat-8312	279	27	:	:	PUNCT
easat-8312	279	28	0.8215	0.8215	NUM
easat-8312	279	29	,	,	PUNCT
easat-8312	279	30	recall	recall	NOUN
easat-8312	279	31	:	:	PUNCT
easat-8312	279	32	0.7662	0.7662	NUM
easat-8312	279	33	)	)	PUNCT
easat-8312	279	34	.	.	PUNCT
easat-8312	280	1	this	this	DET
easat-8312	280	2	highlights	highlight	VERB
easat-8312	280	3	the	the	DET
easat-8312	280	4	effectiveness	effectiveness	NOUN
easat-8312	280	5	of	of	ADP
easat-8312	280	6	integrating	integrate	VERB
easat-8312	280	7	spatial	spatial	ADJ
easat-8312	280	8	and	and	CCONJ
easat-8312	280	9	temporal	temporal	ADJ
easat-8312	280	10	attention	attention	NOUN
easat-8312	280	11	mechanisms	mechanism	NOUN
easat-8312	280	12	.	.	PUNCT
easat-8312	281	1	it	it	PRON
easat-8312	281	2	also	also	ADV
easat-8312	281	3	outperformed	outperform	VERB
easat-8312	281	4	optimization	optimization	NOUN
easat-8312	281	5	-	-	PUNCT
easat-8312	281	6	based	base	VERB
easat-8312	281	7	models	model	NOUN
easat-8312	281	8	like	like	ADP
easat-8312	281	9	ga	ga	NOUN
easat-8312	281	10	-	-	PUNCT
easat-8312	281	11	bigru	bigru	NOUN
easat-8312	281	12	-	-	PUNCT
easat-8312	281	13	tpa	tpa	NOUN
easat-8312	281	14	(	(	PUNCT
easat-8312	281	15	precision	precision	NOUN
easat-8312	281	16	:	:	PUNCT
easat-8312	281	17	0.81792	0.81792	NUM
easat-8312	281	18	,	,	PUNCT
easat-8312	281	19	recall	recall	NOUN
easat-8312	281	20	:	:	PUNCT
easat-8312	281	21	0.8735	0.8735	NUM
easat-8312	281	22	)	)	PUNCT
easat-8312	281	23	and	and	CCONJ
easat-8312	281	24	gwo	gwo	PROPN
easat-8312	281	25	-	-	PUNCT
easat-8312	281	26	bigru	bigru	NOUN
easat-8312	281	27	-	-	PUNCT
easat-8312	281	28	tpa	tpa	NOUN
easat-8312	281	29	(	(	PUNCT
easat-8312	281	30	precision	precision	NOUN
easat-8312	281	31	:	:	PUNCT
easat-8312	281	32	0.8141	0.8141	NUM
easat-8312	281	33	,	,	PUNCT
easat-8312	281	34	recall	recall	NOUN
easat-8312	281	35	:	:	PUNCT
easat-8312	281	36	0.9158	0.9158	NUM
easat-8312	281	37	)	)	PUNCT
easat-8312	281	38	,	,	PUNCT
easat-8312	281	39	demonstrating	demonstrate	VERB
easat-8312	281	40	more	more	ADV
easat-8312	281	41	consistent	consistent	ADJ
easat-8312	281	42	and	and	CCONJ
easat-8312	281	43	superior	superior	ADJ
easat-8312	281	44	performance	performance	NOUN
easat-8312	281	45	across	across	ADP
easat-8312	281	46	multiple	multiple	ADJ
easat-8312	281	47	metrics	metric	NOUN
easat-8312	281	48	.	.	PUNCT
easat-8312	282	1	by	by	ADP
easat-8312	282	2	combining	combine	VERB
easat-8312	282	3	cnn	cnn	PROPN
easat-8312	282	4	's	's	PART
easat-8312	282	5	local	local	ADJ
easat-8312	282	6	spatial	spatial	ADJ
easat-8312	282	7	feature	feature	NOUN
easat-8312	282	8	extraction	extraction	NOUN
easat-8312	282	9	,	,	PUNCT
easat-8312	282	10	bigru	bigru	ADP
easat-8312	282	11	's	's	PART
easat-8312	282	12	bidirectional	bidirectional	ADJ
easat-8312	282	13	time	time	NOUN
easat-8312	282	14	-	-	PUNCT
easat-8312	282	15	series	series	NOUN
easat-8312	282	16	capture	capture	NOUN
easat-8312	282	17	,	,	PUNCT
easat-8312	282	18	and	and	CCONJ
easat-8312	282	19	an	an	DET
easat-8312	282	20	optimized	optimize	VERB
easat-8312	282	21	temporal	temporal	ADJ
easat-8312	282	22	attention	attention	NOUN
easat-8312	282	23	mechanism	mechanism	NOUN
easat-8312	282	24	,	,	PUNCT
easat-8312	282	25	cnn	cnn	PROPN
easat-8312	282	26	-	-	PUNCT
easat-8312	282	27	bigru	bigru	NOUN
easat-8312	282	28	-	-	PUNCT
easat-8312	282	29	tpa	tpa	NOUN
easat-8312	282	30	outperforms	outperform	NOUN
easat-8312	282	31	traditional	traditional	ADJ
easat-8312	282	32	models	model	NOUN
easat-8312	282	33	and	and	CCONJ
easat-8312	282	34	other	other	ADJ
easat-8312	282	35	attention	attention	NOUN
easat-8312	282	36	-	-	PUNCT
easat-8312	282	37	based	base	VERB
easat-8312	282	38	approaches	approach	NOUN
easat-8312	282	39	in	in	ADP
easat-8312	282	40	wind	wind	NOUN
easat-8312	282	41	turbine	turbine	NOUN
easat-8312	282	42	blade	blade	NOUN
easat-8312	282	43	ice	ice	NOUN
easat-8312	282	44	detection	detection	NOUN
easat-8312	282	45	,	,	PUNCT
easat-8312	282	46	making	make	VERB
easat-8312	282	47	it	it	PRON
easat-8312	282	48	ideal	ideal	ADJ
easat-8312	282	49	for	for	ADP
easat-8312	282	50	complex	complex	ADJ
easat-8312	282	51	time	time	NOUN
easat-8312	282	52	series	series	NOUN
easat-8312	282	53	prediction	prediction	NOUN
easat-8312	282	54	tasks	task	NOUN
easat-8312	282	55	.	.	PUNCT
easat-8312	283	1	5	5	X
easat-8312	283	2	.	.	X
easat-8312	283	3	case	case	NOUN
easat-8312	283	4	study	study	NOUN
easat-8312	283	5	this	this	DET
easat-8312	283	6	study	study	NOUN
easat-8312	283	7	proposes	propose	VERB
easat-8312	283	8	significant	significant	ADJ
easat-8312	283	9	advancements	advancement	NOUN
easat-8312	283	10	in	in	ADP
easat-8312	283	11	the	the	DET
easat-8312	283	12	detection	detection	NOUN
easat-8312	283	13	accuracy	accuracy	NOUN
easat-8312	283	14	of	of	ADP
easat-8312	283	15	wind	wind	NOUN
easat-8312	283	16	turbine	turbine	NOUN
easat-8312	283	17	blade	blade	NOUN
easat-8312	283	18	icing	ice	VERB
easat-8312	283	19	through	through	ADP
easat-8312	283	20	the	the	DET
easat-8312	283	21	development	development	NOUN
easat-8312	283	22	and	and	CCONJ
easat-8312	283	23	refinement	refinement	NOUN
easat-8312	283	24	of	of	ADP
easat-8312	283	25	the	the	DET
easat-8312	283	26	cnn	cnn	PROPN
easat-8312	283	27	-	-	PUNCT
easat-8312	283	28	bigru	bigru	NOUN
easat-8312	283	29	-	-	PUNCT
easat-8312	283	30	tpa	tpa	NOUN
easat-8312	283	31	model	model	NOUN
easat-8312	283	32	.	.	PUNCT
easat-8312	284	1	by	by	ADP
easat-8312	284	2	incorporating	incorporate	VERB
easat-8312	284	3	cnn	cnn	PROPN
easat-8312	284	4	for	for	ADP
easat-8312	284	5	spatial	spatial	ADJ
easat-8312	284	6	feature	feature	NOUN
easat-8312	284	7	extraction	extraction	NOUN
easat-8312	284	8	and	and	CCONJ
easat-8312	284	9	bigru	bigru	VERB
easat-8312	284	10	to	to	PART
easat-8312	284	11	capture	capture	VERB
easat-8312	284	12	temporal	temporal	ADJ
easat-8312	284	13	dynamics	dynamic	NOUN
easat-8312	284	14	in	in	ADP
easat-8312	284	15	multivariate	multivariate	NOUN
easat-8312	284	16	time	time	NOUN
easat-8312	284	17	-	-	PUNCT
easat-8312	284	18	series	series	NOUN
easat-8312	284	19	data	datum	NOUN
easat-8312	284	20	,	,	PUNCT
easat-8312	284	21	the	the	DET
easat-8312	284	22	model	model	NOUN
easat-8312	284	23	utilizes	utilize	VERB
easat-8312	284	24	the	the	DET
easat-8312	284	25	temporal	temporal	ADJ
easat-8312	284	26	pattern	pattern	NOUN
easat-8312	284	27	attention	attention	NOUN
easat-8312	284	28	mechanism(tpa	mechanism(tpa	NOUN
easat-8312	284	29	)	)	PUNCT
easat-8312	284	30	to	to	PART
easat-8312	284	31	highlight	highlight	VERB
easat-8312	284	32	crucial	crucial	ADJ
easat-8312	284	33	time	time	NOUN
easat-8312	284	34	series	series	PROPN
easat-8312	284	35	information	information	NOUN
easat-8312	284	36	.	.	PUNCT
easat-8312	285	1	the	the	DET
easat-8312	285	2	proposed	propose	VERB
easat-8312	285	3	model	model	NOUN
easat-8312	285	4	showed	show	VERB
easat-8312	285	5	to	to	PART
easat-8312	285	6	outperform	outperform	VERB
easat-8312	285	7	both	both	CCONJ
easat-8312	285	8	traditional	traditional	ADJ
easat-8312	285	9	and	and	CCONJ
easat-8312	285	10	enhanced	enhanced	ADJ
easat-8312	285	11	models	model	NOUN
easat-8312	285	12	across	across	ADP
easat-8312	285	13	various	various	ADJ
easat-8312	285	14	key	key	ADJ
easat-8312	285	15	performance	performance	NOUN
easat-8312	285	16	indicators	indicator	NOUN
easat-8312	285	17	.	.	PUNCT
easat-8312	286	1	specifically	specifically	ADV
easat-8312	286	2	,	,	PUNCT
easat-8312	286	3	the	the	DET
easat-8312	286	4	proposed	propose	VERB
easat-8312	286	5	cnn	cnn	PROPN
easat-8312	286	6	-	-	PUNCT
easat-8312	286	7	bigru	bigru	PROPN
easat-8312	286	8	-	-	PUNCT
easat-8312	286	9	tpa	tpa	NOUN
easat-8312	286	10	model	model	NOUN
easat-8312	286	11	achieved	achieve	VERB
easat-8312	286	12	a	a	DET
easat-8312	286	13	recall	recall	NOUN
easat-8312	286	14	of	of	ADP
easat-8312	286	15	0.8896	0.8896	NUM
easat-8312	286	16	,	,	PUNCT
easat-8312	286	17	precision	precision	NOUN
easat-8312	286	18	of	of	ADP
easat-8312	286	19	0.8904	0.8904	NUM
easat-8312	286	20	,	,	PUNCT
easat-8312	286	21	an	an	DET
easat-8312	286	22	f1	f1	ADJ
easat-8312	286	23	score	score	NOUN
easat-8312	286	24	of	of	ADP
easat-8312	286	25	0.8900	0.8900	NUM
easat-8312	286	26	,	,	PUNCT
easat-8312	286	27	and	and	CCONJ
easat-8312	286	28	an	an	DET
easat-8312	286	29	mcc	mcc	NOUN
easat-8312	286	30	of	of	ADP
easat-8312	286	31	0.7800	0.7800	NUM
easat-8312	286	32	,	,	PUNCT
easat-8312	286	33	indicating	indicate	VERB
easat-8312	286	34	its	its	PRON
easat-8312	286	35	high	high	ADJ
easat-8312	286	36	predictive	predictive	ADJ
easat-8312	286	37	accuracy	accuracy	NOUN
easat-8312	286	38	and	and	CCONJ
easat-8312	286	39	robustness	robustness	NOUN
easat-8312	286	40	.	.	PUNCT
easat-8312	287	1	the	the	DET
easat-8312	287	2	model	model	NOUN
easat-8312	287	3	also	also	ADV
easat-8312	287	4	incorporated	incorporate	VERB
easat-8312	287	5	min	min	ADJ
easat-8312	287	6	-	-	ADJ
easat-8312	287	7	max	max	NOUN
easat-8312	287	8	normalization	normalization	NOUN
easat-8312	287	9	and	and	CCONJ
easat-8312	287	10	time	time	NOUN
easat-8312	287	11	window	window	NOUN
easat-8312	287	12	segmentation	segmentation	NOUN
easat-8312	287	13	during	during	ADP
easat-8312	287	14	data	datum	NOUN
easat-8312	287	15	preprocessing	preprocessing	NOUN
easat-8312	287	16	,	,	PUNCT
easat-8312	287	17	ensuring	ensure	VERB
easat-8312	287	18	that	that	SCONJ
easat-8312	287	19	the	the	DET
easat-8312	287	20	input	input	NOUN
easat-8312	287	21	data	datum	NOUN
easat-8312	287	22	was	be	AUX
easat-8312	287	23	consistent	consistent	ADJ
easat-8312	287	24	and	and	CCONJ
easat-8312	287	25	standardized	standardized	ADJ
easat-8312	287	26	.	.	PUNCT
easat-8312	288	1	results	result	NOUN
easat-8312	288	2	from	from	ADP
easat-8312	288	3	tests	test	NOUN
easat-8312	288	4	conducted	conduct	VERB
easat-8312	288	5	in	in	ADP
easat-8312	288	6	a	a	DET
easat-8312	288	7	high	high	ADJ
easat-8312	288	8	-	-	PUNCT
easat-8312	288	9	performance	performance	NOUN
easat-8312	288	10	computing	computing	NOUN
easat-8312	288	11	environment	environment	NOUN
easat-8312	288	12	indicate	indicate	VERB
easat-8312	288	13	that	that	SCONJ
easat-8312	288	14	the	the	DET
easat-8312	288	15	model	model	NOUN
easat-8312	288	16	not	not	PART
easat-8312	288	17	only	only	ADV
easat-8312	288	18	improved	improved	ADJ
easat-8312	288	19	accuracy	accuracy	NOUN
easat-8312	288	20	but	but	CCONJ
easat-8312	288	21	also	also	ADV
easat-8312	288	22	speeded	speed	VERB
easat-8312	288	23	up	up	ADP
easat-8312	288	24	convergence	convergence	NOUN
easat-8312	288	25	,	,	PUNCT
easat-8312	288	26	reaching	reach	VERB
easat-8312	288	27	a	a	DET
easat-8312	288	28	stable	stable	ADJ
easat-8312	288	29	accuracy	accuracy	NOUN
easat-8312	288	30	of	of	ADP
easat-8312	288	31	0.89	0.89	NUM
easat-8312	288	32	after	after	ADP
easat-8312	288	33	just	just	ADV
easat-8312	288	34	30	30	NUM
easat-8312	288	35	training	training	NOUN
easat-8312	288	36	cycles	cycle	NOUN
easat-8312	288	37	.	.	PUNCT
easat-8312	289	1	in	in	ADP
easat-8312	289	2	summary	summary	NOUN
easat-8312	289	3	,	,	PUNCT
easat-8312	289	4	the	the	DET
easat-8312	289	5	proposed	propose	VERB
easat-8312	289	6	cnn	cnn	PROPN
easat-8312	289	7	-	-	PUNCT
easat-8312	289	8	bigru	bigru	NOUN
easat-8312	289	9	-	-	PUNCT
easat-8312	289	10	tpa	tpa	NOUN
easat-8312	289	11	model	model	NOUN
easat-8312	289	12	showed	show	VERB
easat-8312	289	13	exceptional	exceptional	ADJ
easat-8312	289	14	performance	performance	NOUN
easat-8312	289	15	in	in	ADP
easat-8312	289	16	identifying	identify	VERB
easat-8312	289	17	icing	ice	VERB
easat-8312	289	18	on	on	ADP
easat-8312	289	19	wind	wind	NOUN
easat-8312	289	20	turbine	turbine	NOUN
easat-8312	289	21	blades	blade	NOUN
easat-8312	289	22	,	,	PUNCT
easat-8312	289	23	offering	offer	VERB
easat-8312	289	24	a	a	DET
easat-8312	289	25	novel	novel	ADJ
easat-8312	289	26	approach	approach	NOUN
easat-8312	289	27	to	to	ADP
easat-8312	289	28	tackling	tackle	VERB
easat-8312	289	29	complex	complex	ADJ
easat-8312	289	30	industrial	industrial	ADJ
easat-8312	289	31	big	big	ADJ
easat-8312	289	32	data	datum	NOUN
easat-8312	289	33	problems	problem	NOUN
easat-8312	289	34	.	.	PUNCT
easat-8312	290	1	the	the	DET
easat-8312	290	2	model	model	NOUN
easat-8312	290	3	’s	’s	PART
easat-8312	290	4	success	success	NOUN
easat-8312	290	5	suggested	suggest	VERB
easat-8312	290	6	considerable	considerable	ADJ
easat-8312	290	7	potential	potential	NOUN
easat-8312	290	8	for	for	ADP
easat-8312	290	9	broader	broad	ADJ
easat-8312	290	10	applications	application	NOUN
easat-8312	290	11	.	.	PUNCT
easat-8312	291	1	future	future	ADJ
easat-8312	291	2	research	research	NOUN
easat-8312	291	3	should	should	AUX
easat-8312	291	4	aim	aim	VERB
easat-8312	291	5	to	to	PART
easat-8312	291	6	refine	refine	VERB
easat-8312	291	7	the	the	DET
easat-8312	291	8	model	model	NOUN
easat-8312	291	9	structure	structure	NOUN
easat-8312	291	10	and	and	CCONJ
easat-8312	291	11	explore	explore	VERB
easat-8312	291	12	new	new	ADJ
easat-8312	291	13	approaches	approach	NOUN
easat-8312	291	14	for	for	ADP
easat-8312	291	15	data	datum	NOUN
easat-8312	291	16	augmentation	augmentation	NOUN
easat-8312	291	17	and	and	CCONJ
easat-8312	291	18	model	model	NOUN
easat-8312	291	19	integration	integration	NOUN
easat-8312	291	20	to	to	PART
easat-8312	291	21	improve	improve	VERB
easat-8312	291	22	prediction	prediction	NOUN
easat-8312	291	23	accuracy	accuracy	NOUN
easat-8312	291	24	and	and	CCONJ
easat-8312	291	25	expand	expand	VERB
easat-8312	291	26	its	its	PRON
easat-8312	291	27	applicability	applicability	NOUN
easat-8312	291	28	.	.	PUNCT
easat-8312	292	1	2052	2052	NUM
easat-8312	292	2	edelweiss	edelweiss	PROPN
easat-8312	292	3	applied	apply	VERB
easat-8312	292	4	science	science	NOUN
easat-8312	292	5	and	and	CCONJ
easat-8312	292	6	technology	technology	NOUN
easat-8312	292	7	issn	issn	PROPN
easat-8312	292	8	:	:	PUNCT
easat-8312	292	9	2576	2576	NUM
easat-8312	292	10	-	-	SYM
easat-8312	292	11	8484	8484	NUM
easat-8312	292	12	vol	vol	NOUN
easat-8312	292	13	.	.	PROPN
easat-8312	293	1	9	9	NUM
easat-8312	293	2	,	,	PUNCT
easat-8312	293	3	no	no	INTJ
easat-8312	293	4	.	.	NOUN
easat-8312	293	5	6	6	NUM
easat-8312	293	6	:	:	SYM
easat-8312	293	7	2035	2035	NUM
easat-8312	293	8	-	-	SYM
easat-8312	293	9	2054	2054	NUM
easat-8312	293	10	,	,	PUNCT
easat-8312	293	11	2025	2025	NUM
easat-8312	293	12	doi	doi	NOUN
easat-8312	293	13	:	:	PUNCT
easat-8312	293	14	10.55214/25768484.v9i6.8312	10.55214/25768484.v9i6.8312	PROPN
easat-8312	293	15	©	©	PROPN
easat-8312	293	16	2025	2025	NUM
easat-8312	293	17	by	by	ADP
easat-8312	293	18	the	the	DET
easat-8312	293	19	authors	author	NOUN
easat-8312	293	20	;	;	PUNCT
easat-8312	293	21	licensee	licensee	PROPN
easat-8312	293	22	learning	learn	VERB
easat-8312	293	23	gate	gate	NOUN
easat-8312	293	24	transparency	transparency	NOUN
easat-8312	293	25	:	:	PUNCT
easat-8312	293	26	the	the	DET
easat-8312	293	27	authors	author	NOUN
easat-8312	293	28	confirm	confirm	VERB
easat-8312	293	29	that	that	SCONJ
easat-8312	293	30	the	the	DET
easat-8312	293	31	manuscript	manuscript	NOUN
easat-8312	293	32	is	be	AUX
easat-8312	293	33	an	an	DET
easat-8312	293	34	honest	honest	ADJ
easat-8312	293	35	,	,	PUNCT
easat-8312	293	36	accurate	accurate	ADJ
easat-8312	293	37	,	,	PUNCT
easat-8312	293	38	and	and	CCONJ
easat-8312	293	39	transparent	transparent	ADJ
easat-8312	293	40	account	account	NOUN
easat-8312	293	41	of	of	ADP
easat-8312	293	42	the	the	DET
easat-8312	293	43	study	study	NOUN
easat-8312	293	44	;	;	PUNCT
easat-8312	293	45	that	that	SCONJ
easat-8312	293	46	no	no	DET
easat-8312	293	47	vital	vital	ADJ
easat-8312	293	48	features	feature	NOUN
easat-8312	293	49	of	of	ADP
easat-8312	293	50	the	the	DET
easat-8312	293	51	study	study	NOUN
easat-8312	293	52	have	have	AUX
easat-8312	293	53	been	be	AUX
easat-8312	293	54	omitted	omit	VERB
easat-8312	293	55	;	;	PUNCT
easat-8312	293	56	and	and	CCONJ
easat-8312	293	57	that	that	SCONJ
easat-8312	293	58	any	any	DET
easat-8312	293	59	discrepancies	discrepancy	NOUN
easat-8312	293	60	from	from	ADP
easat-8312	293	61	the	the	DET
easat-8312	293	62	study	study	NOUN
easat-8312	293	63	as	as	SCONJ
easat-8312	293	64	planned	plan	VERB
easat-8312	293	65	have	have	AUX
easat-8312	293	66	been	be	AUX
easat-8312	293	67	explained	explain	VERB
easat-8312	293	68	.	.	PUNCT
easat-8312	294	1	this	this	DET
easat-8312	294	2	study	study	NOUN
easat-8312	294	3	followed	follow	VERB
easat-8312	294	4	all	all	DET
easat-8312	294	5	ethical	ethical	ADJ
easat-8312	294	6	practices	practice	NOUN
easat-8312	294	7	during	during	ADP
easat-8312	294	8	writing	writing	NOUN
easat-8312	294	9	.	.	PUNCT
easat-8312	295	1	acknowledgement	acknowledgement	NOUN
easat-8312	295	2	:	:	PUNCT
easat-8312	295	3	thanks	thank	NOUN
easat-8312	295	4	to	to	ADP
easat-8312	295	5	hunan	hunan	PROPN
easat-8312	295	6	mechanical	mechanical	PROPN
easat-8312	295	7	&	&	CCONJ
easat-8312	295	8	electrical	electrical	ADJ
easat-8312	295	9	polytechnic	polytechnic	ADJ
easat-8312	295	10	and	and	CCONJ
easat-8312	295	11	the	the	DET
easat-8312	295	12	faculty	faculty	NOUN
easat-8312	295	13	of	of	ADP
easat-8312	295	14	engineering	engineering	PROPN
easat-8312	295	15	,	,	PUNCT
easat-8312	295	16	mahasarakham	mahasarakham	PROPN
easat-8312	295	17	university	university	PROPN
easat-8312	295	18	,	,	PUNCT
easat-8312	295	19	for	for	ADP
easat-8312	295	20	their	their	PRON
easat-8312	295	21	support	support	NOUN
easat-8312	295	22	,	,	PUNCT
easat-8312	295	23	especially	especially	ADV
easat-8312	295	24	to	to	ADP
easat-8312	295	25	dr	dr	PROPN
easat-8312	295	26	.	.	PROPN
easat-8312	295	27	chonlatee	chonlatee	PROPN
easat-8312	295	28	photong	photong	ADV
easat-8312	295	29	for	for	ADP
easat-8312	295	30	his	his	PRON
easat-8312	295	31	endless	endless	ADJ
easat-8312	295	32	support	support	NOUN
easat-8312	295	33	.	.	PUNCT
easat-8312	296	1	special	special	ADJ
easat-8312	296	2	thanks	thank	NOUN
easat-8312	296	3	are	be	AUX
easat-8312	296	4	also	also	ADV
easat-8312	296	5	extended	extend	VERB
easat-8312	296	6	to	to	ADP
easat-8312	296	7	the	the	DET
easat-8312	296	8	institute	institute	PROPN
easat-8312	296	9	of	of	ADP
easat-8312	296	10	energy	energy	NOUN
easat-8312	296	11	power	power	NOUN
easat-8312	296	12	and	and	CCONJ
easat-8312	296	13	fault	fault	VERB
easat-8312	296	14	diagnosis	diagnosis	NOUN
easat-8312	296	15	technology	technology	NOUN
easat-8312	296	16	,	,	PUNCT
easat-8312	296	17	hunan	hunan	PROPN
easat-8312	296	18	mechanical	mechanical	PROPN
easat-8312	296	19	&	&	CCONJ
easat-8312	296	20	electrical	electrical	ADJ
easat-8312	296	21	polytechnic	polytechnic	NOUN
easat-8312	296	22	,	,	PUNCT
easat-8312	296	23	for	for	ADP
easat-8312	296	24	providing	provide	VERB
easat-8312	296	25	valuable	valuable	ADJ
easat-8312	296	26	support	support	NOUN
easat-8312	296	27	and	and	CCONJ
easat-8312	296	28	resources	resource	NOUN
easat-8312	296	29	for	for	ADP
easat-8312	296	30	this	this	DET
easat-8312	296	31	research	research	NOUN
easat-8312	296	32	(	(	PUNCT
easat-8312	296	33	project	project	NOUN
easat-8312	296	34	no	no	INTJ
easat-8312	296	35	.	.	PUNCT
easat-8312	297	1	yjs24	yjs24	PROPN
easat-8312	297	2	-	-	PUNCT
easat-8312	297	3	01	01	NUM
easat-8312	297	4	)	)	PUNCT
easat-8312	297	5	.	.	PUNCT
easat-8312	298	1	copyright	copyright	NOUN
easat-8312	298	2	:	:	PUNCT
easat-8312	298	3	©	©	PROPN
easat-8312	298	4	2025	2025	NUM
easat-8312	298	5	by	by	ADP
easat-8312	298	6	the	the	DET
easat-8312	298	7	authors	author	NOUN
easat-8312	298	8	.	.	PUNCT
easat-8312	299	1	this	this	DET
easat-8312	299	2	open	open	ADJ
easat-8312	299	3	-	-	PUNCT
easat-8312	299	4	access	access	NOUN
easat-8312	299	5	article	article	NOUN
easat-8312	299	6	is	be	AUX
easat-8312	299	7	distributed	distribute	VERB
easat-8312	299	8	under	under	ADP
easat-8312	299	9	the	the	DET
easat-8312	299	10	terms	term	NOUN
easat-8312	299	11	and	and	CCONJ
easat-8312	299	12	conditions	condition	NOUN
easat-8312	299	13	of	of	ADP
easat-8312	299	14	the	the	DET
easat-8312	299	15	creative	creative	ADJ
easat-8312	299	16	commons	common	NOUN
easat-8312	299	17	attribution	attribution	NOUN
easat-8312	299	18	(	(	PUNCT
easat-8312	299	19	cc	cc	NOUN
easat-8312	299	20	by	by	ADP
easat-8312	299	21	)	)	PUNCT
easat-8312	299	22	license	license	NOUN
easat-8312	299	23	(	(	PUNCT
easat-8312	299	24	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-8312	299	25	)	)	PUNCT
easat-8312	299	26	.	.	PUNCT
easat-8312	300	1	references	reference	NOUN
easat-8312	300	2	[	[	X
easat-8312	300	3	1	1	X
easat-8312	300	4	]	]	X
easat-8312	300	5	y.	y.	PROPN
easat-8312	300	6	wang	wang	PROPN
easat-8312	300	7	et	et	PROPN
easat-8312	300	8	al	al	PROPN
easat-8312	300	9	.	.	PROPN
easat-8312	300	10	,	,	PUNCT
easat-8312	300	11	"	"	PUNCT
easat-8312	300	12	carbon	carbon	NOUN
easat-8312	300	13	peak	peak	NOUN
easat-8312	300	14	and	and	CCONJ
easat-8312	300	15	carbon	carbon	NOUN
easat-8312	300	16	neutrality	neutrality	NOUN
easat-8312	300	17	in	in	ADP
easat-8312	300	18	china	china	PROPN
easat-8312	300	19	:	:	PUNCT
easat-8312	300	20	goals	goal	NOUN
easat-8312	300	21	,	,	PUNCT
easat-8312	300	22	implementation	implementation	NOUN
easat-8312	300	23	path	path	NOUN
easat-8312	300	24	and	and	CCONJ
easat-8312	300	25	prospects	prospect	NOUN
easat-8312	300	26	,	,	PUNCT
easat-8312	300	27	"	"	PUNCT
easat-8312	300	28	china	china	PROPN
easat-8312	300	29	geology	geology	NOUN
easat-8312	300	30	,	,	PUNCT
easat-8312	300	31	vol	vol	NOUN
easat-8312	300	32	.	.	PROPN
easat-8312	300	33	4	4	NUM
easat-8312	300	34	,	,	PUNCT
easat-8312	300	35	no	no	INTJ
easat-8312	300	36	.	.	NOUN
easat-8312	300	37	4	4	NUM
easat-8312	300	38	,	,	PUNCT
easat-8312	300	39	pp	pp	ADJ
easat-8312	300	40	.	.	PUNCT
easat-8312	301	1	720	720	NUM
easat-8312	301	2	-	-	NUM
easat-8312	301	3	746	746	NUM
easat-8312	301	4	,	,	PUNCT
easat-8312	301	5	2021	2021	NUM
easat-8312	301	6	.	.	PUNCT
easat-8312	302	1	https://doi.org/10.31035/cg2021083	https://doi.org/10.31035/cg2021083	PUNCT
easat-8312	303	1	[	[	X
easat-8312	303	2	2	2	X
easat-8312	303	3	]	]	PUNCT
easat-8312	303	4	j.	j.	PROPN
easat-8312	303	5	m.	m.	PROPN
easat-8312	303	6	p.	p.	PROPN
easat-8312	303	7	pérez	pérez	PROPN
easat-8312	303	8	,	,	PUNCT
easat-8312	304	1	f.	f.	PROPN
easat-8312	304	2	p.	p.	PROPN
easat-8312	304	3	g.	g.	PROPN
easat-8312	304	4	márquez	márquez	PROPN
easat-8312	304	5	,	,	PUNCT
easat-8312	304	6	and	and	CCONJ
easat-8312	304	7	d.	d.	PROPN
easat-8312	304	8	r.	r.	PROPN
easat-8312	304	9	hernández	hernández	PROPN
easat-8312	304	10	,	,	PUNCT
easat-8312	304	11	"	"	PUNCT
easat-8312	304	12	economic	economic	ADJ
easat-8312	304	13	viability	viability	NOUN
easat-8312	304	14	analysis	analysis	NOUN
easat-8312	304	15	for	for	ADP
easat-8312	304	16	icing	ice	VERB
easat-8312	304	17	blades	blade	NOUN
easat-8312	304	18	detection	detection	NOUN
easat-8312	304	19	in	in	ADP
easat-8312	304	20	wind	wind	NOUN
easat-8312	304	21	turbines	turbine	NOUN
easat-8312	304	22	,	,	PUNCT
easat-8312	304	23	"	"	PUNCT
easat-8312	304	24	journal	journal	NOUN
easat-8312	304	25	of	of	ADP
easat-8312	304	26	cleaner	clean	ADJ
easat-8312	304	27	production	production	NOUN
easat-8312	304	28	,	,	PUNCT
easat-8312	304	29	vol	vol	NOUN
easat-8312	304	30	.	.	PROPN
easat-8312	304	31	135	135	NUM
easat-8312	304	32	,	,	PUNCT
easat-8312	304	33	pp	pp	ADJ
easat-8312	304	34	.	.	PUNCT
easat-8312	305	1	1150	1150	NUM
easat-8312	305	2	-	-	SYM
easat-8312	305	3	1160	1160	NUM
easat-8312	305	4	,	,	PUNCT
easat-8312	305	5	2016	2016	NUM
easat-8312	305	6	.	.	PUNCT
easat-8312	306	1	https://doi.org/10.1016/j.jclepro.2016.07.026	https://doi.org/10.1016/j.jclepro.2016.07.026	PROPN
easat-8312	307	1	[	[	X
easat-8312	307	2	3	3	X
easat-8312	307	3	]	]	X
easat-8312	307	4	y.	y.	PROPN
easat-8312	307	5	liu	liu	PROPN
easat-8312	307	6	,	,	PUNCT
easat-8312	307	7	h.	h.	PROPN
easat-8312	307	8	cheng	cheng	PROPN
easat-8312	307	9	,	,	PUNCT
easat-8312	307	10	x.	x.	PROPN
easat-8312	307	11	kong	kong	PROPN
easat-8312	307	12	,	,	PUNCT
easat-8312	307	13	q.	q.	PROPN
easat-8312	307	14	wang	wang	PROPN
easat-8312	307	15	,	,	PUNCT
easat-8312	307	16	and	and	CCONJ
easat-8312	307	17	h.	h.	PROPN
easat-8312	307	18	cui	cui	PROPN
easat-8312	307	19	,	,	PUNCT
easat-8312	307	20	"	"	PUNCT
easat-8312	307	21	intelligent	intelligent	ADJ
easat-8312	307	22	wind	wind	NOUN
easat-8312	307	23	turbine	turbine	NOUN
easat-8312	307	24	blade	blade	NOUN
easat-8312	307	25	icing	ice	VERB
easat-8312	307	26	detection	detection	NOUN
easat-8312	307	27	using	use	VERB
easat-8312	307	28	supervisory	supervisory	ADJ
easat-8312	307	29	control	control	NOUN
easat-8312	307	30	and	and	CCONJ
easat-8312	307	31	data	datum	NOUN
easat-8312	307	32	acquisition	acquisition	NOUN
easat-8312	307	33	data	datum	NOUN
easat-8312	307	34	and	and	CCONJ
easat-8312	307	35	ensemble	ensemble	ADJ
easat-8312	307	36	deep	deep	ADJ
easat-8312	307	37	learning	learning	NOUN
easat-8312	307	38	,	,	PUNCT
easat-8312	307	39	"	"	PUNCT
easat-8312	307	40	energy	energy	NOUN
easat-8312	307	41	science	science	NOUN
easat-8312	307	42	&	&	CCONJ
easat-8312	307	43	engineering	engineering	PROPN
easat-8312	307	44	,	,	PUNCT
easat-8312	307	45	vol	vol	NOUN
easat-8312	307	46	.	.	PROPN
easat-8312	307	47	7	7	NUM
easat-8312	307	48	,	,	PUNCT
easat-8312	307	49	no	no	INTJ
easat-8312	307	50	.	.	NOUN
easat-8312	307	51	6	6	NUM
easat-8312	307	52	,	,	PUNCT
easat-8312	307	53	pp	pp	ADJ
easat-8312	307	54	.	.	PUNCT
easat-8312	308	1	26332645	26332645	NUM
easat-8312	308	2	,	,	PUNCT
easat-8312	308	3	2019	2019	NUM
easat-8312	308	4	.	.	PUNCT
easat-8312	309	1	https://doi.org/10.1002/ese3.449	https://doi.org/10.1002/ese3.449	NOUN
easat-8312	310	1	[	[	X
easat-8312	310	2	4	4	X
easat-8312	310	3	]	]	X
easat-8312	310	4	y.	y.	PROPN
easat-8312	310	5	sirui	sirui	PROPN
easat-8312	310	6	,	,	PUNCT
easat-8312	310	7	s.	s.	PROPN
easat-8312	310	8	mengjie	mengjie	PROPN
easat-8312	310	9	,	,	PUNCT
easat-8312	310	10	g.	g.	PROPN
easat-8312	310	11	runmiao	runmiao	PROPN
easat-8312	310	12	,	,	PUNCT
easat-8312	310	13	b.	b.	PROPN
easat-8312	310	14	jiwoong	jiwoong	PROPN
easat-8312	310	15	,	,	PUNCT
easat-8312	310	16	z.	z.	PROPN
easat-8312	310	17	xuan	xuan	PROPN
easat-8312	310	18	,	,	PUNCT
easat-8312	310	19	and	and	CCONJ
easat-8312	310	20	z.	z.	PROPN
easat-8312	310	21	shiqiang	shiqiang	PROPN
easat-8312	310	22	,	,	PUNCT
easat-8312	310	23	"	"	PUNCT
easat-8312	310	24	a	a	DET
easat-8312	310	25	review	review	NOUN
easat-8312	310	26	of	of	ADP
easat-8312	310	27	icing	ice	VERB
easat-8312	310	28	prediction	prediction	NOUN
easat-8312	310	29	techniques	technique	NOUN
easat-8312	310	30	for	for	ADP
easat-8312	310	31	four	four	NUM
easat-8312	310	32	typical	typical	ADJ
easat-8312	310	33	surfaces	surface	NOUN
easat-8312	310	34	in	in	ADP
easat-8312	310	35	low	low	ADJ
easat-8312	310	36	-	-	PUNCT
easat-8312	310	37	temperature	temperature	NOUN
easat-8312	310	38	natural	natural	ADJ
easat-8312	310	39	environments	environment	NOUN
easat-8312	310	40	,	,	PUNCT
easat-8312	310	41	"	"	PUNCT
easat-8312	310	42	applied	apply	VERB
easat-8312	310	43	thermal	thermal	ADJ
easat-8312	310	44	engineering	engineering	NOUN
easat-8312	310	45	,	,	PUNCT
easat-8312	310	46	vol	vol	NOUN
easat-8312	310	47	.	.	PUNCT
easat-8312	310	48	241	241	NUM
easat-8312	310	49	,	,	PUNCT
easat-8312	310	50	p.	p.	NOUN
easat-8312	310	51	122418	122418	NUM
easat-8312	310	52	,	,	PUNCT
easat-8312	310	53	2024	2024	NUM
easat-8312	310	54	.	.	PUNCT
easat-8312	311	1	https://doi.org/10.1016/j.applthermaleng.2024.122418	https://doi.org/10.1016/j.applthermaleng.2024.122418	NOUN
easat-8312	311	2	[	[	X
easat-8312	311	3	5	5	NUM
easat-8312	311	4	]	]	PUNCT
easat-8312	311	5	w.	w.	PROPN
easat-8312	311	6	wang	wang	PROPN
easat-8312	311	7	,	,	PUNCT
easat-8312	311	8	y.	y.	PROPN
easat-8312	311	9	xue	xue	PROPN
easat-8312	311	10	,	,	PUNCT
easat-8312	311	11	c.	c.	PROPN
easat-8312	311	12	he	he	PRON
easat-8312	311	13	,	,	PUNCT
easat-8312	311	14	and	and	CCONJ
easat-8312	311	15	y.	y.	PROPN
easat-8312	311	16	zhao	zhao	PROPN
easat-8312	311	17	,	,	PUNCT
easat-8312	311	18	"	"	PUNCT
easat-8312	311	19	review	review	NOUN
easat-8312	311	20	of	of	ADP
easat-8312	311	21	the	the	DET
easat-8312	311	22	typical	typical	ADJ
easat-8312	311	23	damage	damage	NOUN
easat-8312	311	24	and	and	CCONJ
easat-8312	311	25	damage	damage	NOUN
easat-8312	311	26	-	-	PUNCT
easat-8312	311	27	detection	detection	NOUN
easat-8312	311	28	methods	method	NOUN
easat-8312	311	29	of	of	ADP
easat-8312	311	30	large	large	ADJ
easat-8312	311	31	wind	wind	NOUN
easat-8312	311	32	turbine	turbine	NOUN
easat-8312	311	33	blades	blade	NOUN
easat-8312	311	34	,	,	PUNCT
easat-8312	311	35	"	"	PUNCT
easat-8312	311	36	energies	energy	NOUN
easat-8312	311	37	,	,	PUNCT
easat-8312	311	38	vol	vol	NOUN
easat-8312	311	39	.	.	PROPN
easat-8312	311	40	15	15	NUM
easat-8312	311	41	,	,	PUNCT
easat-8312	311	42	no	no	INTJ
easat-8312	311	43	.	.	NOUN
easat-8312	311	44	15	15	NUM
easat-8312	311	45	,	,	PUNCT
easat-8312	311	46	p.	p.	NOUN
easat-8312	311	47	5672	5672	NUM
easat-8312	311	48	,	,	PUNCT
easat-8312	311	49	2022	2022	NUM
easat-8312	311	50	.	.	PUNCT
easat-8312	312	1	https://doi.org/10.3390/en15155672	https://doi.org/10.3390/en15155672	X
easat-8312	313	1	[	[	X
easat-8312	313	2	6	6	NUM
easat-8312	313	3	]	]	PUNCT
easat-8312	313	4	x.	x.	NOUN
easat-8312	313	5	dong	dong	PROPN
easat-8312	313	6	,	,	PUNCT
easat-8312	313	7	d.	d.	PROPN
easat-8312	313	8	gao	gao	PROPN
easat-8312	313	9	,	,	PUNCT
easat-8312	313	10	j.	j.	PROPN
easat-8312	313	11	li	li	PROPN
easat-8312	313	12	,	,	PUNCT
easat-8312	313	13	z.	z.	PROPN
easat-8312	313	14	jincao	jincao	PROPN
easat-8312	313	15	,	,	PUNCT
easat-8312	313	16	and	and	CCONJ
easat-8312	313	17	k.	k.	PROPN
easat-8312	313	18	zheng	zheng	PROPN
easat-8312	313	19	,	,	PUNCT
easat-8312	313	20	"	"	PUNCT
easat-8312	313	21	blades	blade	NOUN
easat-8312	313	22	icing	ice	VERB
easat-8312	313	23	identification	identification	NOUN
easat-8312	313	24	model	model	NOUN
easat-8312	313	25	of	of	ADP
easat-8312	313	26	wind	wind	NOUN
easat-8312	313	27	turbines	turbine	NOUN
easat-8312	313	28	based	base	VERB
easat-8312	313	29	on	on	ADP
easat-8312	313	30	scada	scada	PROPN
easat-8312	313	31	data	data	PROPN
easat-8312	313	32	,	,	PUNCT
easat-8312	313	33	"	"	PUNCT
easat-8312	313	34	renewable	renewable	ADJ
easat-8312	313	35	energy	energy	NOUN
easat-8312	313	36	,	,	PUNCT
easat-8312	313	37	vol	vol	NOUN
easat-8312	313	38	.	.	PROPN
easat-8312	313	39	162	162	NUM
easat-8312	313	40	,	,	PUNCT
easat-8312	313	41	pp	pp	ADJ
easat-8312	313	42	.	.	PUNCT
easat-8312	314	1	575	575	NUM
easat-8312	314	2	-	-	SYM
easat-8312	314	3	586	586	NUM
easat-8312	314	4	,	,	PUNCT
easat-8312	314	5	2020	2020	NUM
easat-8312	314	6	.	.	PUNCT
easat-8312	315	1	https://doi.org/10.1016/j.renene.2020.07.049	https://doi.org/10.1016/j.renene.2020.07.049	PRON
easat-8312	316	1	[	[	X
easat-8312	316	2	7	7	NUM
easat-8312	316	3	]	]	X
easat-8312	316	4	i.	i.	NOUN
easat-8312	316	5	kabardin	kabardin	PROPN
easat-8312	316	6	et	et	PROPN
easat-8312	316	7	al	al	PROPN
easat-8312	316	8	.	.	PROPN
easat-8312	316	9	,	,	PUNCT
easat-8312	316	10	"	"	PUNCT
easat-8312	316	11	optical	optical	ADJ
easat-8312	316	12	methods	method	NOUN
easat-8312	316	13	for	for	ADP
easat-8312	316	14	measuring	measure	VERB
easat-8312	316	15	icing	icing	NOUN
easat-8312	316	16	of	of	ADP
easat-8312	316	17	wind	wind	NOUN
easat-8312	316	18	turbine	turbine	NOUN
easat-8312	316	19	blades	blade	NOUN
easat-8312	316	20	,	,	PUNCT
easat-8312	316	21	"	"	PUNCT
easat-8312	316	22	energies	energy	NOUN
easat-8312	316	23	,	,	PUNCT
easat-8312	316	24	vol	vol	NOUN
easat-8312	316	25	.	.	PROPN
easat-8312	316	26	14	14	NUM
easat-8312	316	27	,	,	PUNCT
easat-8312	316	28	no	no	INTJ
easat-8312	316	29	.	.	NOUN
easat-8312	316	30	20	20	NUM
easat-8312	316	31	,	,	PUNCT
easat-8312	316	32	p.	p.	NOUN
easat-8312	316	33	6485	6485	NUM
easat-8312	316	34	,	,	PUNCT
easat-8312	316	35	2021	2021	NUM
easat-8312	316	36	.	.	PUNCT
easat-8312	317	1	https://doi.org/10.3390/en14206485	https://doi.org/10.3390/en14206485	PROPN
easat-8312	317	2	[	[	X
easat-8312	317	3	8	8	NUM
easat-8312	317	4	]	]	X
easat-8312	317	5	h.	h.	PROPN
easat-8312	317	6	lee	lee	PROPN
easat-8312	317	7	,	,	PUNCT
easat-8312	317	8	y.	y.	PROPN
easat-8312	317	9	m.	m.	PROPN
easat-8312	317	10	hwang	hwang	PROPN
easat-8312	317	11	,	,	PUNCT
easat-8312	317	12	j.	j.	PROPN
easat-8312	317	13	lee	lee	PROPN
easat-8312	317	14	,	,	PUNCT
easat-8312	317	15	n.-w	n.-w	PROPN
easat-8312	317	16	.	.	PUNCT
easat-8312	318	1	kim	kim	PROPN
easat-8312	318	2	,	,	PUNCT
easat-8312	318	3	and	and	CCONJ
easat-8312	318	4	s.-k	s.-k	PROPN
easat-8312	318	5	.	.	PUNCT
easat-8312	319	1	ko	ko	PROPN
easat-8312	319	2	,	,	PUNCT
easat-8312	319	3	"	"	PUNCT
easat-8312	319	4	a	a	DET
easat-8312	319	5	drone	drone	NOUN
easat-8312	319	6	-	-	PUNCT
easat-8312	319	7	driven	drive	VERB
easat-8312	319	8	x	x	ADJ
easat-8312	319	9	-	-	NOUN
easat-8312	319	10	ray	ray	NOUN
easat-8312	319	11	image	image	NOUN
easat-8312	319	12	-	-	PUNCT
easat-8312	319	13	based	base	VERB
easat-8312	319	14	diagnosis	diagnosis	NOUN
easat-8312	319	15	of	of	ADP
easat-8312	319	16	wind	wind	NOUN
easat-8312	319	17	turbine	turbine	NOUN
easat-8312	319	18	blades	blade	NOUN
easat-8312	319	19	for	for	ADP
easat-8312	319	20	reliable	reliable	ADJ
easat-8312	319	21	operation	operation	NOUN
easat-8312	319	22	of	of	ADP
easat-8312	319	23	wind	wind	NOUN
easat-8312	319	24	turbine	turbine	NOUN
easat-8312	319	25	,	,	PUNCT
easat-8312	319	26	"	"	PUNCT
easat-8312	319	27	ieee	ieee	NOUN
easat-8312	319	28	access	access	NOUN
easat-8312	319	29	,	,	PUNCT
easat-8312	319	30	2024	2024	NUM
easat-8312	319	31	.	.	PUNCT
easat-8312	320	1	https://doi.org/10.1109/access.2024.3388494	https://doi.org/10.1109/access.2024.3388494	PROPN
easat-8312	321	1	[	[	X
easat-8312	321	2	9	9	NUM
easat-8312	321	3	]	]	PUNCT
easat-8312	321	4	v.	v.	CCONJ
easat-8312	321	5	daniliuk	daniliuk	NOUN
easat-8312	321	6	,	,	PUNCT
easat-8312	321	7	y.	y.	PROPN
easat-8312	321	8	xu	xu	PROPN
easat-8312	321	9	,	,	PUNCT
easat-8312	321	10	r.	r.	PROPN
easat-8312	321	11	liu	liu	PROPN
easat-8312	321	12	,	,	PUNCT
easat-8312	321	13	t.	t.	PROPN
easat-8312	321	14	he	he	PRON
easat-8312	321	15	,	,	PUNCT
easat-8312	321	16	and	and	CCONJ
easat-8312	321	17	x.	x.	PROPN
easat-8312	321	18	wang	wang	PROPN
easat-8312	321	19	,	,	PUNCT
easat-8312	321	20	"	"	PUNCT
easat-8312	321	21	ultrasonic	ultrasonic	ADJ
easat-8312	321	22	de	de	NOUN
easat-8312	321	23	-	-	NOUN
easat-8312	321	24	icing	icing	NOUN
easat-8312	321	25	of	of	ADP
easat-8312	321	26	wind	wind	NOUN
easat-8312	321	27	turbine	turbine	NOUN
easat-8312	321	28	blades	blade	NOUN
easat-8312	321	29	:	:	PUNCT
easat-8312	321	30	performance	performance	NOUN
easat-8312	321	31	comparison	comparison	NOUN
easat-8312	321	32	of	of	ADP
easat-8312	321	33	perspective	perspective	NOUN
easat-8312	321	34	transducers	transducer	NOUN
easat-8312	321	35	,	,	PUNCT
easat-8312	321	36	"	"	PUNCT
easat-8312	321	37	renewable	renewable	ADJ
easat-8312	321	38	energy	energy	NOUN
easat-8312	321	39	,	,	PUNCT
easat-8312	321	40	vol	vol	NOUN
easat-8312	321	41	.	.	PROPN
easat-8312	321	42	145	145	NUM
easat-8312	321	43	,	,	PUNCT
easat-8312	321	44	pp	pp	ADJ
easat-8312	321	45	.	.	PUNCT
easat-8312	322	1	2005	2005	NUM
easat-8312	322	2	-	-	SYM
easat-8312	322	3	2018	2018	NUM
easat-8312	322	4	,	,	PUNCT
easat-8312	322	5	2020	2020	NUM
easat-8312	322	6	.	.	PUNCT
easat-8312	323	1	https://doi.org/10.1016/j.renene.2019.07.102	https://doi.org/10.1016/j.renene.2019.07.102	PRON
easat-8312	324	1	[	[	X
easat-8312	324	2	10	10	NUM
easat-8312	324	3	]	]	PUNCT
easat-8312	324	4	p.	p.	PROPN
easat-8312	324	5	zhu	zhu	PROPN
easat-8312	324	6	,	,	PUNCT
easat-8312	324	7	x.	x.	PROPN
easat-8312	324	8	feng	feng	PROPN
easat-8312	324	9	,	,	PUNCT
easat-8312	324	10	z.	z.	PROPN
easat-8312	324	11	liu	liu	PROPN
easat-8312	324	12	,	,	PUNCT
easat-8312	324	13	m.	m.	PROPN
easat-8312	324	14	huang	huang	PROPN
easat-8312	324	15	,	,	PUNCT
easat-8312	324	16	h.	h.	PROPN
easat-8312	324	17	xie	xie	PROPN
easat-8312	324	18	,	,	PUNCT
easat-8312	324	19	and	and	CCONJ
easat-8312	324	20	m.	m.	PROPN
easat-8312	324	21	a.	a.	PROPN
easat-8312	324	22	soto	soto	PROPN
easat-8312	324	23	,	,	PUNCT
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easat-8312	324	25	reliable	reliable	ADJ
easat-8312	324	26	packaging	packaging	NOUN
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easat-8312	324	28	optical	optical	ADJ
easat-8312	324	29	fiber	fiber	NOUN
easat-8312	324	30	bragg	bragg	PROPN
easat-8312	324	31	grating	grating	NOUN
easat-8312	324	32	sensors	sensor	NOUN
easat-8312	324	33	for	for	ADP
easat-8312	324	34	carbon	carbon	NOUN
easat-8312	324	35	fiber	fiber	NOUN
easat-8312	324	36	composite	composite	ADJ
easat-8312	324	37	wind	wind	NOUN
easat-8312	324	38	turbine	turbine	NOUN
easat-8312	324	39	blades	blade	NOUN
easat-8312	324	40	,	,	PUNCT
easat-8312	324	41	"	"	PUNCT
easat-8312	324	42	composites	composite	VERB
easat-8312	324	43	science	science	NOUN
easat-8312	324	44	and	and	CCONJ
easat-8312	324	45	technology	technology	NOUN
easat-8312	324	46	,	,	PUNCT
easat-8312	324	47	vol	vol	NOUN
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easat-8312	324	49	213	213	NUM
easat-8312	324	50	,	,	PUNCT
easat-8312	324	51	p.	p.	NOUN
easat-8312	324	52	108933	108933	NUM
easat-8312	324	53	,	,	PUNCT
easat-8312	324	54	2021	2021	NUM
easat-8312	324	55	.	.	PUNCT
easat-8312	325	1	https://doi.org/10.1016/j.compscitech.2021.108933	https://doi.org/10.1016/j.compscitech.2021.108933	NOUN
easat-8312	325	2	[	[	X
easat-8312	325	3	11	11	NUM
easat-8312	325	4	]	]	PUNCT
easat-8312	325	5	p.	p.	NOUN
easat-8312	325	6	rizk	rizk	PROPN
easat-8312	325	7	,	,	PUNCT
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easat-8312	325	9	hyper	hyper	ADJ
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easat-8312	325	11	imaging	imaging	NOUN
easat-8312	325	12	applied	apply	VERB
easat-8312	325	13	for	for	ADP
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easat-8312	325	15	detection	detection	NOUN
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easat-8312	325	19	blade	blade	NOUN
easat-8312	325	20	damage	damage	NOUN
easat-8312	325	21	and	and	CCONJ
easat-8312	325	22	icing	icing	NOUN
easat-8312	325	23	,	,	PUNCT
easat-8312	325	24	"	"	PUNCT
easat-8312	325	25	remote	remote	ADJ
easat-8312	325	26	sensing	sense	VERB
easat-8312	325	27	applications	application	NOUN
easat-8312	325	28	:	:	PUNCT
easat-8312	325	29	society	society	NOUN
easat-8312	325	30	and	and	CCONJ
easat-8312	325	31	environment	environment	NOUN
easat-8312	325	32	,	,	PUNCT
easat-8312	325	33	vol	vol	NOUN
easat-8312	325	34	.	.	PROPN
easat-8312	325	35	18	18	NUM
easat-8312	325	36	,	,	PUNCT
easat-8312	325	37	p.	p.	NOUN
easat-8312	325	38	100291	100291	NUM
easat-8312	325	39	,	,	PUNCT
easat-8312	325	40	2020	2020	NUM
easat-8312	325	41	.	.	PUNCT
easat-8312	326	1	https://doi.org/10.1016/j.rsase.2020.100291	https://doi.org/10.1016/j.rsase.2020.100291	PROPN
easat-8312	326	2	[	[	X
easat-8312	326	3	12	12	NUM
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easat-8312	326	9	,	,	PUNCT
easat-8312	326	10	f.	f.	PROPN
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easat-8312	326	20	,	,	PUNCT
easat-8312	326	21	"	"	PUNCT
easat-8312	326	22	ice	ice	NOUN
easat-8312	326	23	detection	detection	NOUN
easat-8312	326	24	using	use	VERB
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easat-8312	326	26	infrared	infrared	ADJ
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easat-8312	326	28	on	on	ADP
easat-8312	326	29	wind	wind	NOUN
easat-8312	326	30	turbine	turbine	NOUN
easat-8312	326	31	blades	blade	NOUN
easat-8312	326	32	,	,	PUNCT
easat-8312	326	33	"	"	PUNCT
easat-8312	326	34	measurement	measurement	NOUN
easat-8312	326	35	,	,	PUNCT
easat-8312	326	36	vol	vol	NOUN
easat-8312	326	37	.	.	PROPN
easat-8312	327	1	93	93	NUM
easat-8312	327	2	,	,	PUNCT
easat-8312	327	3	pp	pp	ADJ
easat-8312	327	4	.	.	PUNCT
easat-8312	328	1	157	157	NUM
easat-8312	328	2	-	-	SYM
easat-8312	328	3	163	163	NUM
easat-8312	328	4	,	,	PUNCT
easat-8312	328	5	2016	2016	NUM
easat-8312	328	6	.	.	PUNCT
easat-8312	329	1	https://doi.org/10.1016/j.measurement.2016.06.064	https://doi.org/10.1016/j.measurement.2016.06.064	NOUN
easat-8312	330	1	[	[	X
easat-8312	330	2	13	13	NUM
easat-8312	330	3	]	]	PUNCT
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easat-8312	330	9	,	,	PUNCT
easat-8312	330	10	"	"	PUNCT
easat-8312	330	11	wind	wind	NOUN
easat-8312	330	12	turbine	turbine	NOUN
easat-8312	330	13	blade	blade	NOUN
easat-8312	330	14	icing	ice	VERB
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easat-8312	330	22	method	method	NOUN
easat-8312	330	23	,	,	PUNCT
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easat-8312	330	30	179	179	NUM
easat-8312	330	31	,	,	PUNCT
easat-8312	330	32	pp	pp	ADJ
easat-8312	330	33	.	.	PUNCT
easat-8312	331	1	1098	1098	NUM
easat-8312	331	2	-	-	SYM
easat-8312	331	3	1105	1105	NUM
easat-8312	331	4	,	,	PUNCT
easat-8312	331	5	2021	2021	NUM
easat-8312	331	6	.	.	PUNCT
easat-8312	332	1	https://doi.org/10.1016/j.renene.2021.07.120	https://doi.org/10.1016/j.renene.2021.07.120	PROPN
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easat-8312	332	3	14	14	NUM
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easat-8312	332	9	spatio	spatio	ADJ
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easat-8312	332	11	temporal	temporal	ADJ
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easat-8312	332	19	turbine	turbine	ADJ
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easat-8312	332	21	icing	ice	VERB
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easat-8312	332	27	"	"	PUNCT
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easat-8312	332	36	.	.	PUNCT
easat-8312	333	1	https://doi.org/10.1109/tim.2024.3350147	https://doi.org/10.1109/tim.2024.3350147	PRON
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easat-8312	334	4	,	,	PUNCT
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easat-8312	334	6	.	.	PUNCT
easat-8312	335	1	https://doi.org/10.1016/j.procir.2019.03.073	https://doi.org/10.1016/j.procir.2019.03.073	NOUN
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easat-8312	335	38	,	,	PUNCT
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easat-8312	335	41	,	,	PUNCT
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easat-8312	335	43	.	.	PUNCT
easat-8312	336	1	https://doi.org/10.3390/en13112975	https://doi.org/10.3390/en13112975	X
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easat-8312	338	12	https://doi.org/10.1016/j.measurement.2016.06.064	https://doi.org/10.1016/j.measurement.2016.06.064	PROPN
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easat-8312	338	17	2053	2053	NUM
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easat-8312	339	6	:	:	SYM
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easat-8312	339	8	-	-	SYM
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easat-8312	340	10	and	and	CCONJ
easat-8312	340	11	t.	t.	PROPN
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easat-8312	340	39	,	,	PUNCT
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easat-8312	340	42	,	,	PUNCT
easat-8312	340	43	2020	2020	NUM
easat-8312	340	44	.	.	PUNCT
easat-8312	341	1	https://doi.org/10.1016/j.compeleceng.2020.106751	https://doi.org/10.1016/j.compeleceng.2020.106751	NOUN
easat-8312	341	2	[	[	X
easat-8312	341	3	18	18	NUM
easat-8312	341	4	]	]	X
easat-8312	341	5	h.	h.	PROPN
easat-8312	341	6	meng	meng	PROPN
easat-8312	341	7	,	,	PUNCT
easat-8312	341	8	x.	x.	PROPN
easat-8312	341	9	huang	huang	PROPN
easat-8312	341	10	,	,	PUNCT
easat-8312	341	11	j.	j.	PROPN
easat-8312	341	12	liu	liu	PROPN
easat-8312	341	13	,	,	PUNCT
easat-8312	341	14	and	and	CCONJ
easat-8312	341	15	z.	z.	PROPN
easat-8312	341	16	han	han	PROPN
easat-8312	341	17	,	,	PUNCT
easat-8312	341	18	"	"	PUNCT
easat-8312	341	19	forecast	forecast	NOUN
easat-8312	341	20	of	of	ADP
easat-8312	341	21	fan	fan	PROPN
easat-8312	341	22	blade	blade	NOUN
easat-8312	341	23	icing	ice	VERB
easat-8312	341	24	combing	comb	VERB
easat-8312	341	25	with	with	ADP
easat-8312	341	26	random	random	ADJ
easat-8312	341	27	forest	forest	NOUN
easat-8312	341	28	and	and	CCONJ
easat-8312	341	29	svm	svm	ADJ
easat-8312	341	30	,	,	PUNCT
easat-8312	341	31	"	"	PUNCT
easat-8312	341	32	electr	electr	PROPN
easat-8312	341	33	.	.	PUNCT
easat-8312	342	1	meas	meas	PROPN
easat-8312	342	2	.	.	PUNCT
easat-8312	343	1	instrum	instrum	NOUN
easat-8312	343	2	,	,	PUNCT
easat-8312	343	3	vol	vol	NOUN
easat-8312	343	4	.	.	PROPN
easat-8312	343	5	57	57	NUM
easat-8312	343	6	,	,	PUNCT
easat-8312	343	7	pp	pp	ADJ
easat-8312	343	8	.	.	PUNCT
easat-8312	344	1	66	66	NUM
easat-8312	344	2	-	-	SYM
easat-8312	344	3	71	71	NUM
easat-8312	344	4	,	,	PUNCT
easat-8312	344	5	2020	2020	NUM
easat-8312	344	6	.	.	PUNCT
easat-8312	345	1	[	[	X
easat-8312	345	2	19	19	NUM
easat-8312	345	3	]	]	PUNCT
easat-8312	345	4	t.	t.	PROPN
easat-8312	345	5	tao	tao	PROPN
easat-8312	345	6	et	et	PROPN
easat-8312	345	7	al	al	PROPN
easat-8312	345	8	.	.	PROPN
easat-8312	345	9	,	,	PUNCT
easat-8312	345	10	"	"	PUNCT
easat-8312	345	11	wind	wind	NOUN
easat-8312	345	12	turbine	turbine	NOUN
easat-8312	345	13	blade	blade	NOUN
easat-8312	345	14	icing	ice	VERB
easat-8312	345	15	diagnosis	diagnosis	NOUN
easat-8312	345	16	using	use	VERB
easat-8312	345	17	hybrid	hybrid	ADJ
easat-8312	345	18	features	feature	NOUN
easat-8312	345	19	and	and	CCONJ
easat-8312	345	20	stacked	stack	VERB
easat-8312	345	21	-	-	PUNCT
easat-8312	345	22	xgboost	xgboost	ADP
easat-8312	345	23	algorithm	algorithm	NOUN
easat-8312	345	24	,	,	PUNCT
easat-8312	345	25	"	"	PUNCT
easat-8312	345	26	renewable	renewable	ADJ
easat-8312	345	27	energy	energy	NOUN
easat-8312	345	28	,	,	PUNCT
easat-8312	345	29	vol	vol	NOUN
easat-8312	345	30	.	.	PROPN
easat-8312	345	31	180	180	NUM
easat-8312	345	32	,	,	PUNCT
easat-8312	345	33	pp	pp	ADJ
easat-8312	345	34	.	.	PUNCT
easat-8312	346	1	1004	1004	NUM
easat-8312	346	2	-	-	SYM
easat-8312	346	3	1013	1013	NUM
easat-8312	346	4	,	,	PUNCT
easat-8312	346	5	2021	2021	NUM
easat-8312	346	6	.	.	PUNCT
easat-8312	347	1	https://doi.org/10.1016/j.renene.2021.09.008	https://doi.org/10.1016/j.renene.2021.09.008	NOUN
easat-8312	347	2	[	[	X
easat-8312	347	3	20	20	NUM
easat-8312	347	4	]	]	X
easat-8312	347	5	c.	c.	PROPN
easat-8312	347	6	xiong	xiong	PROPN
easat-8312	347	7	,	,	PUNCT
easat-8312	347	8	"	"	PUNCT
easat-8312	347	9	short	short	ADJ
easat-8312	347	10	-	-	PUNCT
easat-8312	347	11	term	term	NOUN
easat-8312	347	12	icing	ice	VERB
easat-8312	347	13	status	status	NOUN
easat-8312	347	14	prediction	prediction	NOUN
easat-8312	347	15	model	model	NOUN
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easat-8312	347	17	wind	wind	NOUN
easat-8312	347	18	turbine	turbine	NOUN
easat-8312	347	19	blades	blade	NOUN
easat-8312	347	20	based	base	VERB
easat-8312	347	21	on	on	ADP
easat-8312	347	22	bi	bi	ADJ
easat-8312	347	23	-	-	ADJ
easat-8312	347	24	lstm	lstm	ADJ
easat-8312	347	25	and	and	CCONJ
easat-8312	347	26	svm	svm	ADJ
easat-8312	347	27	models	model	NOUN
easat-8312	347	28	,	,	PUNCT
easat-8312	347	29	"	"	PUNCT
easat-8312	347	30	sichuan	sichuan	PROPN
easat-8312	347	31	electric	electric	PROPN
easat-8312	347	32	power	power	PROPN
easat-8312	347	33	technology	technology	PROPN
easat-8312	347	34	,	,	PUNCT
easat-8312	347	35	vol	vol	NOUN
easat-8312	347	36	.	.	PROPN
easat-8312	347	37	44	44	NUM
easat-8312	347	38	,	,	PUNCT
easat-8312	347	39	no	no	INTJ
easat-8312	347	40	.	.	NOUN
easat-8312	347	41	3	3	NUM
easat-8312	347	42	,	,	PUNCT
easat-8312	347	43	pp	pp	ADJ
easat-8312	347	44	.	.	PUNCT
easat-8312	348	1	88	88	NUM
easat-8312	348	2	-	-	SYM
easat-8312	348	3	94	94	NUM
easat-8312	348	4	,	,	PUNCT
easat-8312	348	5	2021	2021	NUM
easat-8312	348	6	.	.	PUNCT
easat-8312	349	1	[	[	X
easat-8312	349	2	21	21	NUM
easat-8312	349	3	]	]	X
easat-8312	349	4	l.	l.	PROPN
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easat-8312	349	6	,	,	PUNCT
easat-8312	349	7	"	"	PUNCT
easat-8312	349	8	prediction	prediction	NOUN
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easat-8312	349	11	fan	fan	NOUN
easat-8312	349	12	blade	blade	NOUN
easat-8312	349	13	icing	ice	VERB
easat-8312	349	14	based	base	VERB
easat-8312	349	15	on	on	ADP
easat-8312	349	16	deep	deep	ADJ
easat-8312	349	17	fully	fully	ADV
easat-8312	349	18	connected	connect	VERB
easat-8312	349	19	neural	neural	ADJ
easat-8312	349	20	network	network	NOUN
easat-8312	349	21	,	,	PUNCT
easat-8312	349	22	"	"	PUNCT
easat-8312	349	23	electric	electric	ADJ
easat-8312	349	24	power	power	NOUN
easat-8312	349	25	science	science	NOUN
easat-8312	349	26	and	and	CCONJ
easat-8312	349	27	engineering	engineering	NOUN
easat-8312	349	28	,	,	PUNCT
easat-8312	349	29	vol	vol	NOUN
easat-8312	349	30	.	.	PROPN
easat-8312	349	31	35	35	NUM
easat-8312	349	32	,	,	PUNCT
easat-8312	349	33	no	no	INTJ
easat-8312	349	34	.	.	NOUN
easat-8312	349	35	4	4	NUM
easat-8312	349	36	,	,	PUNCT
easat-8312	349	37	p.	p.	NOUN
easat-8312	349	38	39	39	NUM
easat-8312	349	39	,	,	PUNCT
easat-8312	349	40	2019	2019	NUM
easat-8312	349	41	.	.	PUNCT
easat-8312	350	1	[	[	X
easat-8312	350	2	22	22	NUM
easat-8312	350	3	]	]	X
easat-8312	350	4	c.	c.	PROPN
easat-8312	350	5	tao	tao	PROPN
easat-8312	350	6	,	,	PUNCT
easat-8312	350	7	"	"	PUNCT
easat-8312	350	8	wind	wind	NOUN
easat-8312	350	9	turbine	turbine	NOUN
easat-8312	350	10	blade	blade	NOUN
easat-8312	350	11	icing	ice	VERB
easat-8312	350	12	prediction	prediction	NOUN
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easat-8312	350	14	focal	focal	ADJ
easat-8312	350	15	loss	loss	NOUN
easat-8312	350	16	function	function	NOUN
easat-8312	350	17	and	and	CCONJ
easat-8312	350	18	cnn	cnn	PROPN
easat-8312	350	19	-	-	PUNCT
easat-8312	350	20	attention	attention	NOUN
easat-8312	350	21	-	-	PUNCT
easat-8312	350	22	gru	gru	NOUN
easat-8312	350	23	algorithm	algorithm	NOUN
easat-8312	350	24	,	,	PUNCT
easat-8312	350	25	"	"	PUNCT
easat-8312	350	26	energies	energy	NOUN
easat-8312	350	27	,	,	PUNCT
easat-8312	350	28	vol	vol	NOUN
easat-8312	350	29	.	.	PROPN
easat-8312	350	30	16	16	NUM
easat-8312	350	31	,	,	PUNCT
easat-8312	350	32	no	no	INTJ
easat-8312	350	33	.	.	NOUN
easat-8312	350	34	15	15	NUM
easat-8312	350	35	,	,	PUNCT
easat-8312	350	36	p.	p.	NOUN
easat-8312	350	37	5621	5621	NUM
easat-8312	350	38	,	,	PUNCT
easat-8312	350	39	2023	2023	NUM
easat-8312	350	40	.	.	PUNCT
easat-8312	350	41	https://doi.org/10.3390/en16155621	https://doi.org/10.3390/en16155621	X
easat-8312	351	1	[	[	X
easat-8312	351	2	23	23	NUM
easat-8312	351	3	]	]	X
easat-8312	351	4	g.	g.	PROPN
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easat-8312	351	6	,	,	PUNCT
easat-8312	351	7	"	"	PUNCT
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easat-8312	351	10	for	for	ADP
easat-8312	351	11	wind	wind	NOUN
easat-8312	351	12	turbine	turbine	NOUN
easat-8312	351	13	blade	blade	NOUN
easat-8312	351	14	icing	ice	VERB
easat-8312	351	15	detection	detection	NOUN
easat-8312	351	16	via	via	ADP
easat-8312	351	17	spatio	spatio	PROPN
easat-8312	351	18	-	-	PUNCT
easat-8312	351	19	temporal	temporal	ADJ
easat-8312	351	20	attention	attention	NOUN
easat-8312	351	21	model	model	NOUN
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easat-8312	351	23	a	a	DET
easat-8312	351	24	selfadaptive	selfadaptive	ADJ
easat-8312	351	25	weight	weight	NOUN
easat-8312	351	26	loss	loss	NOUN
easat-8312	351	27	function	function	NOUN
easat-8312	351	28	,	,	PUNCT
easat-8312	351	29	"	"	PUNCT
easat-8312	351	30	expert	expert	NOUN
easat-8312	351	31	systems	system	NOUN
easat-8312	351	32	with	with	ADP
easat-8312	351	33	applications	application	NOUN
easat-8312	351	34	,	,	PUNCT
easat-8312	351	35	vol	vol	NOUN
easat-8312	351	36	.	.	PROPN
easat-8312	351	37	229	229	NUM
easat-8312	351	38	,	,	PUNCT
easat-8312	351	39	p.	p.	NOUN
easat-8312	351	40	120428	120428	NUM
easat-8312	351	41	,	,	PUNCT
easat-8312	351	42	2023	2023	NUM
easat-8312	351	43	.	.	PUNCT
easat-8312	352	1	https://doi.org/10.1016/j.eswa.2023.120428	https://doi.org/10.1016/j.eswa.2023.120428	NOUN
easat-8312	352	2	[	[	X
easat-8312	352	3	24	24	NUM
easat-8312	352	4	]	]	X
easat-8312	352	5	l.	l.	PROPN
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easat-8312	352	7	,	,	PUNCT
easat-8312	352	8	"	"	PUNCT
easat-8312	352	9	graph	graph	VERB
easat-8312	352	10	temporal	temporal	ADJ
easat-8312	352	11	attention	attention	NOUN
easat-8312	352	12	network	network	NOUN
easat-8312	352	13	for	for	ADP
easat-8312	352	14	imbalanced	imbalanced	ADJ
easat-8312	352	15	wind	wind	NOUN
easat-8312	352	16	turbine	turbine	NOUN
easat-8312	352	17	blade	blade	NOUN
easat-8312	352	18	icing	ice	VERB
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easat-8312	352	20	,	,	PUNCT
easat-8312	352	21	"	"	PUNCT
easat-8312	352	22	ieee	ieee	NOUN
easat-8312	352	23	sensors	sensor	NOUN
easat-8312	352	24	journal	journal	NOUN
easat-8312	352	25	,	,	PUNCT
easat-8312	352	26	2024	2024	NUM
easat-8312	352	27	.	.	PUNCT
easat-8312	353	1	https://doi.org/10.1109/jsen.2024.3358873	https://doi.org/10.1109/jsen.2024.3358873	NOUN
easat-8312	353	2	[	[	X
easat-8312	353	3	25	25	NUM
easat-8312	353	4	]	]	PUNCT
easat-8312	353	5	w.	w.	PROPN
easat-8312	353	6	tian	tian	PROPN
easat-8312	353	7	,	,	PUNCT
easat-8312	353	8	"	"	PUNCT
easat-8312	353	9	a	a	DET
easat-8312	353	10	multilevel	multilevel	ADJ
easat-8312	353	11	convolutional	convolutional	ADJ
easat-8312	353	12	recurrent	recurrent	ADJ
easat-8312	353	13	neural	neural	ADJ
easat-8312	353	14	network	network	NOUN
easat-8312	353	15	for	for	ADP
easat-8312	353	16	blade	blade	NOUN
easat-8312	353	17	icing	ice	VERB
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easat-8312	353	19	of	of	ADP
easat-8312	353	20	wind	wind	NOUN
easat-8312	353	21	turbine	turbine	NOUN
easat-8312	353	22	,	,	PUNCT
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easat-8312	353	24	ieee	ieee	NOUN
easat-8312	353	25	sensors	sensor	NOUN
easat-8312	353	26	journal	journal	PROPN
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easat-8312	353	31	,	,	PUNCT
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easat-8312	353	35	,	,	PUNCT
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easat-8312	353	37	.	.	PUNCT
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easat-8312	354	2	-	-	SYM
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easat-8312	354	4	,	,	PUNCT
easat-8312	354	5	2021	2021	NUM
easat-8312	354	6	.	.	PUNCT
easat-8312	355	1	https://doi.org/10.1109/jsen.2021.3093726	https://doi.org/10.1109/jsen.2021.3093726	PROPN
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easat-8312	355	3	26	26	NUM
easat-8312	355	4	]	]	PUNCT
easat-8312	355	5	x.	x.	PROPN
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easat-8312	355	7	,	,	PUNCT
easat-8312	355	8	z.	z.	PROPN
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easat-8312	355	10	,	,	PUNCT
easat-8312	355	11	g.	g.	PROPN
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easat-8312	355	13	,	,	PUNCT
easat-8312	355	14	q.	q.	PROPN
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easat-8312	355	16	,	,	PUNCT
easat-8312	355	17	and	and	CCONJ
easat-8312	355	18	p.	p.	PROPN
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easat-8312	355	24	turbine	turbine	NOUN
easat-8312	355	25	blade	blade	NOUN
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easat-8312	355	28	a	a	DET
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easat-8312	355	37	,	,	PUNCT
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easat-8312	355	39	.	.	PROPN
easat-8312	355	40	15	15	NUM
easat-8312	355	41	,	,	PUNCT
easat-8312	355	42	no	no	INTJ
easat-8312	355	43	.	.	NOUN
easat-8312	355	44	8	8	NUM
easat-8312	355	45	,	,	PUNCT
easat-8312	355	46	p.	p.	NOUN
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easat-8312	355	48	,	,	PUNCT
easat-8312	355	49	2022	2022	NUM
easat-8312	355	50	.	.	PUNCT
easat-8312	356	1	https://doi.org/10.3390/en15082864	https://doi.org/10.3390/en15082864	NUM
easat-8312	357	1	[	[	X
easat-8312	357	2	27	27	NUM
easat-8312	357	3	]	]	PUNCT
easat-8312	357	4	j.	j.	PROPN
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easat-8312	357	6	,	,	PUNCT
easat-8312	357	7	c.	c.	PROPN
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easat-8312	357	13	j.	j.	PROPN
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easat-8312	357	16	and	and	CCONJ
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easat-8312	357	25	blade	blade	NOUN
easat-8312	357	26	icing	ice	VERB
easat-8312	357	27	fault	fault	NOUN
easat-8312	357	28	based	base	VERB
easat-8312	357	29	on	on	ADP
easat-8312	357	30	selective	selective	ADJ
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easat-8312	357	32	ensemble	ensemble	ADJ
easat-8312	357	33	model	model	NOUN
easat-8312	357	34	,	,	PUNCT
easat-8312	357	35	"	"	PUNCT
easat-8312	357	36	knowledge	knowledge	NOUN
easat-8312	357	37	-	-	PUNCT
easat-8312	357	38	based	base	VERB
easat-8312	357	39	systems	system	NOUN
easat-8312	357	40	,	,	PUNCT
easat-8312	357	41	vol	vol	NOUN
easat-8312	357	42	.	.	PROPN
easat-8312	357	43	242	242	NUM
easat-8312	357	44	,	,	PUNCT
easat-8312	357	45	p.	p.	NOUN
easat-8312	357	46	108290	108290	NUM
easat-8312	357	47	,	,	PUNCT
easat-8312	357	48	2022	2022	NUM
easat-8312	357	49	.	.	PUNCT
easat-8312	358	1	https://doi.org/10.1016/j.knosys.2022.108290	https://doi.org/10.1016/j.knosys.2022.108290	ADJ
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easat-8312	358	3	28	28	NUM
easat-8312	358	4	]	]	X
easat-8312	358	5	r.	r.	PROPN
easat-8312	358	6	tong	tong	PROPN
easat-8312	358	7	,	,	PUNCT
easat-8312	358	8	p.	p.	PROPN
easat-8312	358	9	li	li	PROPN
easat-8312	358	10	,	,	PUNCT
easat-8312	358	11	l.	l.	PROPN
easat-8312	358	12	gao	gao	PROPN
easat-8312	358	13	,	,	PUNCT
easat-8312	358	14	x.	x.	PROPN
easat-8312	358	15	lang	lang	PROPN
easat-8312	358	16	,	,	PUNCT
easat-8312	358	17	a.	a.	NOUN
easat-8312	358	18	miao	miao	PROPN
easat-8312	358	19	,	,	PUNCT
easat-8312	358	20	and	and	CCONJ
easat-8312	358	21	x.	x.	PROPN
easat-8312	358	22	shen	shen	PROPN
easat-8312	358	23	,	,	PUNCT
easat-8312	358	24	"	"	PUNCT
easat-8312	358	25	a	a	DET
easat-8312	358	26	novel	novel	NOUN
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easat-8312	358	29	extreme	extreme	ADJ
easat-8312	358	30	learning	learning	NOUN
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easat-8312	358	32	algorithm	algorithm	NOUN
easat-8312	358	33	and	and	CCONJ
easat-8312	358	34	its	its	PRON
easat-8312	358	35	application	application	NOUN
easat-8312	358	36	in	in	ADP
easat-8312	358	37	wind	wind	NOUN
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easat-8312	358	39	blade	blade	NOUN
easat-8312	358	40	icing	ice	VERB
easat-8312	358	41	fault	fault	NOUN
easat-8312	358	42	detection	detection	NOUN
easat-8312	358	43	,	,	PUNCT
easat-8312	358	44	"	"	PUNCT
easat-8312	358	45	ieee	ieee	NOUN
easat-8312	358	46	transactions	transaction	NOUN
easat-8312	358	47	on	on	ADP
easat-8312	358	48	instrumentation	instrumentation	NOUN
easat-8312	358	49	and	and	CCONJ
easat-8312	358	50	measurement	measurement	NOUN
easat-8312	358	51	,	,	PUNCT
easat-8312	358	52	vol	vol	NOUN
easat-8312	358	53	.	.	PROPN
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easat-8312	359	2	,	,	PUNCT
easat-8312	359	3	pp	pp	ADJ
easat-8312	359	4	.	.	PUNCT
easat-8312	360	1	1	1	NUM
easat-8312	360	2	-	-	SYM
easat-8312	360	3	16	16	NUM
easat-8312	360	4	,	,	PUNCT
easat-8312	360	5	2022	2022	NUM
easat-8312	360	6	.	.	PUNCT
easat-8312	361	1	https://doi.org/10.1109/tim.2022.3205920	https://doi.org/10.1109/tim.2022.3205920	NOUN
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easat-8312	361	3	29	29	NUM
easat-8312	361	4	]	]	PUNCT
easat-8312	361	5	x.	x.	NOUN
easat-8312	361	6	cheng	cheng	PROPN
easat-8312	361	7	,	,	PUNCT
easat-8312	361	8	f.	f.	PROPN
easat-8312	361	9	shi	shi	PROPN
easat-8312	361	10	,	,	PUNCT
easat-8312	361	11	x.	x.	PROPN
easat-8312	361	12	liu	liu	PROPN
easat-8312	361	13	,	,	PUNCT
easat-8312	361	14	m.	m.	NOUN
easat-8312	361	15	zhao	zhao	PROPN
easat-8312	361	16	,	,	PUNCT
easat-8312	361	17	and	and	CCONJ
easat-8312	361	18	s.	s.	PROPN
easat-8312	361	19	chen	chen	PROPN
easat-8312	361	20	,	,	PUNCT
easat-8312	361	21	"	"	PUNCT
easat-8312	361	22	a	a	DET
easat-8312	361	23	novel	novel	ADJ
easat-8312	361	24	deep	deep	ADJ
easat-8312	361	25	class	class	NOUN
easat-8312	361	26	-	-	PUNCT
easat-8312	361	27	imbalanced	imbalance	VERB
easat-8312	361	28	semisupervised	semisupervise	VERB
easat-8312	361	29	model	model	NOUN
easat-8312	361	30	for	for	ADP
easat-8312	361	31	wind	wind	NOUN
easat-8312	361	32	turbine	turbine	NOUN
easat-8312	361	33	blade	blade	NOUN
easat-8312	361	34	icing	ice	VERB
easat-8312	361	35	detection	detection	NOUN
easat-8312	361	36	,	,	PUNCT
easat-8312	361	37	"	"	PUNCT
easat-8312	361	38	ieee	ieee	NOUN
easat-8312	361	39	transactions	transaction	NOUN
easat-8312	361	40	on	on	ADP
easat-8312	361	41	neural	neural	ADJ
easat-8312	361	42	networks	network	NOUN
easat-8312	361	43	and	and	CCONJ
easat-8312	361	44	learning	learning	NOUN
easat-8312	361	45	systems	system	NOUN
easat-8312	361	46	,	,	PUNCT
easat-8312	361	47	vol	vol	NOUN
easat-8312	361	48	.	.	PROPN
easat-8312	361	49	33	33	NUM
easat-8312	361	50	,	,	PUNCT
easat-8312	361	51	no	no	INTJ
easat-8312	361	52	.	.	NOUN
easat-8312	361	53	6	6	NUM
easat-8312	361	54	,	,	PUNCT
easat-8312	361	55	pp	pp	ADJ
easat-8312	361	56	.	.	PUNCT
easat-8312	361	57	25582570	25582570	NUM
easat-8312	361	58	,	,	PUNCT
easat-8312	361	59	2021	2021	NUM
easat-8312	361	60	.	.	PUNCT
easat-8312	362	1	https://doi.org/10.1109/tnnls.2021.3102514	https://doi.org/10.1109/tnnls.2021.3102514	PROPN
easat-8312	362	2	[	[	X
easat-8312	362	3	30	30	NUM
easat-8312	362	4	]	]	X
easat-8312	362	5	w.	w.	PROPN
easat-8312	362	6	chen	chen	PROPN
easat-8312	362	7	,	,	PUNCT
easat-8312	362	8	l.	l.	PROPN
easat-8312	362	9	cheng	cheng	PROPN
easat-8312	362	10	,	,	PUNCT
easat-8312	362	11	z.	z.	PROPN
easat-8312	362	12	chang	chang	PROPN
easat-8312	362	13	,	,	PUNCT
easat-8312	362	14	b.	b.	PROPN
easat-8312	362	15	wen	wen	PROPN
easat-8312	362	16	,	,	PUNCT
easat-8312	362	17	and	and	CCONJ
easat-8312	362	18	p.	p.	PROPN
easat-8312	362	19	li	li	PROPN
easat-8312	362	20	,	,	PUNCT
easat-8312	362	21	"	"	PUNCT
easat-8312	362	22	wind	wind	NOUN
easat-8312	362	23	turbine	turbine	NOUN
easat-8312	362	24	blade	blade	NOUN
easat-8312	362	25	icing	ice	VERB
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easat-8312	362	28	a	a	DET
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easat-8312	362	31	gated	gate	VERB
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easat-8312	362	38	and	and	CCONJ
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easat-8312	362	40	coot	coot	NOUN
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easat-8312	362	42	algorithm	algorithm	NOUN
easat-8312	362	43	,	,	PUNCT
easat-8312	362	44	"	"	PUNCT
easat-8312	362	45	measurement	measurement	NOUN
easat-8312	362	46	science	science	NOUN
easat-8312	362	47	and	and	CCONJ
easat-8312	362	48	technology	technology	NOUN
easat-8312	362	49	,	,	PUNCT
easat-8312	362	50	vol	vol	NOUN
easat-8312	362	51	.	.	PROPN
easat-8312	362	52	34	34	NUM
easat-8312	362	53	,	,	PUNCT
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easat-8312	362	57	,	,	PUNCT
easat-8312	362	58	p.	p.	NOUN
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easat-8312	362	60	,	,	PUNCT
easat-8312	362	61	2022	2022	NUM
easat-8312	362	62	.	.	PUNCT
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easat-8312	363	1	[	[	X
easat-8312	363	2	31	31	NUM
easat-8312	363	3	]	]	PUNCT
easat-8312	363	4	x.	x.	PROPN
easat-8312	363	5	cheng	cheng	PROPN
easat-8312	363	6	,	,	PUNCT
easat-8312	363	7	f.	f.	PROPN
easat-8312	363	8	shi	shi	PROPN
easat-8312	363	9	,	,	PUNCT
easat-8312	363	10	m.	m.	NOUN
easat-8312	363	11	zhao	zhao	PROPN
easat-8312	363	12	,	,	PUNCT
easat-8312	363	13	g.	g.	PROPN
easat-8312	363	14	li	li	PROPN
easat-8312	363	15	,	,	PUNCT
easat-8312	363	16	h.	h.	PROPN
easat-8312	363	17	zhang	zhang	PROPN
easat-8312	363	18	,	,	PUNCT
easat-8312	363	19	and	and	CCONJ
easat-8312	363	20	s.	s.	PROPN
easat-8312	363	21	chen	chen	PROPN
easat-8312	363	22	,	,	PUNCT
easat-8312	363	23	"	"	PUNCT
easat-8312	363	24	temporal	temporal	ADJ
easat-8312	363	25	attention	attention	NOUN
easat-8312	363	26	convolutional	convolutional	ADJ
easat-8312	363	27	neural	neural	ADJ
easat-8312	363	28	network	network	NOUN
easat-8312	363	29	for	for	ADP
easat-8312	363	30	estimation	estimation	NOUN
easat-8312	363	31	of	of	ADP
easat-8312	363	32	icing	ice	VERB
easat-8312	363	33	probability	probability	NOUN
easat-8312	363	34	on	on	ADP
easat-8312	363	35	wind	wind	NOUN
easat-8312	363	36	turbine	turbine	NOUN
easat-8312	363	37	blades	blade	NOUN
easat-8312	363	38	,	,	PUNCT
easat-8312	363	39	"	"	PUNCT
easat-8312	363	40	ieee	ieee	NOUN
easat-8312	363	41	transactions	transaction	NOUN
easat-8312	363	42	on	on	ADP
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easat-8312	363	53	,	,	PUNCT
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easat-8312	363	55	.	.	PUNCT
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easat-8312	363	57	-	-	SYM
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easat-8312	363	59	,	,	PUNCT
easat-8312	363	60	2021	2021	NUM
easat-8312	363	61	.	.	PUNCT
easat-8312	364	1	https://doi.org/10.1109/tie.2021.3090702	https://doi.org/10.1109/tie.2021.3090702	NOUN
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easat-8312	364	3	32	32	NUM
easat-8312	364	4	]	]	PUNCT
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easat-8312	364	7	,	,	PUNCT
easat-8312	364	8	t.	t.	PROPN
easat-8312	364	9	tao	tao	PROPN
easat-8312	364	10	,	,	PUNCT
easat-8312	364	11	s.	s.	PROPN
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easat-8312	364	13	,	,	PUNCT
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easat-8312	364	17	and	and	CCONJ
easat-8312	364	18	y.	y.	PROPN
easat-8312	364	19	liu	liu	PROPN
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easat-8312	364	21	"	"	PUNCT
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easat-8312	364	23	turbine	turbine	NOUN
easat-8312	364	24	blade	blade	NOUN
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easat-8312	364	31	-	-	PUNCT
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easat-8312	364	33	-	-	NOUN
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easat-8312	364	42	"	"	PUNCT
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easat-8312	364	45	,	,	PUNCT
easat-8312	364	46	vol	vol	NOUN
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easat-8312	364	49	,	,	PUNCT
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easat-8312	364	52	,	,	PUNCT
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easat-8312	364	54	.	.	PUNCT
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easat-8312	365	17	z.	z.	PROPN
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easat-8312	365	20	and	and	CCONJ
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easat-8312	365	28	learning	learning	NOUN
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easat-8312	365	30	based	base	VERB
easat-8312	365	31	wind	wind	NOUN
easat-8312	365	32	power	power	NOUN
easat-8312	365	33	prediction	prediction	NOUN
easat-8312	365	34	model	model	NOUN
easat-8312	365	35	considering	consider	VERB
easat-8312	365	36	the	the	DET
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easat-8312	365	38	process	process	NOUN
easat-8312	365	39	of	of	ADP
easat-8312	365	40	blade	blade	NOUN
easat-8312	365	41	icing	icing	NOUN
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easat-8312	365	43	de	de	ADJ
easat-8312	365	44	-	-	NOUN
easat-8312	365	45	icing	icing	NOUN
easat-8312	365	46	,	,	PUNCT
easat-8312	365	47	"	"	PUNCT
easat-8312	365	48	ieee	ieee	NOUN
easat-8312	365	49	transactions	transaction	NOUN
easat-8312	365	50	on	on	ADP
easat-8312	365	51	industrial	industrial	ADJ
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easat-8312	366	4	]	]	PUNCT
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easat-8312	366	28	"	"	PUNCT
easat-8312	366	29	translation	translation	NOUN
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easat-8312	366	31	production	production	NOUN
easat-8312	366	32	(	(	PUNCT
easat-8312	366	33	slrtp	slrtp	ADJ
easat-8312	366	34	)	)	PUNCT
easat-8312	366	35	workshop	workshop	NOUN
easat-8312	366	36	-	-	PUNCT
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easat-8312	367	5	shi	shi	PROPN
easat-8312	367	6	,	,	PUNCT
easat-8312	367	7	w.	w.	PROPN
easat-8312	367	8	yu	yu	PROPN
easat-8312	367	9	,	,	PUNCT
easat-8312	367	10	and	and	CCONJ
easat-8312	367	11	w.	w.	PROPN
easat-8312	367	12	shui	shui	PROPN
easat-8312	367	13	-	-	PUNCT
easat-8312	367	14	qing	qing	PROPN
easat-8312	367	15	,	,	PUNCT
easat-8312	367	16	"	"	PUNCT
easat-8312	367	17	machine	machine	NOUN
easat-8312	367	18	translation	translation	NOUN
easat-8312	367	19	system	system	NOUN
easat-8312	367	20	based	base	VERB
easat-8312	367	21	on	on	ADP
easat-8312	367	22	self	self	NOUN
easat-8312	367	23	-	-	PUNCT
easat-8312	367	24	attention	attention	NOUN
easat-8312	367	25	model	model	NOUN
easat-8312	367	26	,	,	PUNCT
easat-8312	367	27	"	"	PUNCT
easat-8312	367	28	computer	computer	NOUN
easat-8312	367	29	and	and	CCONJ
easat-8312	367	30	modernization	modernization	NOUN
easat-8312	367	31	,	,	PUNCT
easat-8312	367	32	vol	vol	NOUN
easat-8312	367	33	.	.	PROPN
easat-8312	367	34	7	7	NUM
easat-8312	367	35	,	,	PUNCT
easat-8312	367	36	no	no	INTJ
easat-8312	367	37	.	.	NOUN
easat-8312	367	38	9	9	NUM
easat-8312	367	39	,	,	PUNCT
easat-8312	367	40	2019	2019	NUM
easat-8312	367	41	.	.	PUNCT
easat-8312	368	1	https://doi.org/10.3969/j.issn.1006-2475.2019.07.002	https://doi.org/10.3969/j.issn.1006-2475.2019.07.002	PUNCT
easat-8312	369	1	[	[	X
easat-8312	369	2	36	36	NUM
easat-8312	369	3	]	]	PUNCT
easat-8312	369	4	a.	a.	NOUN
easat-8312	369	5	sasinthiran	sasinthiran	PROPN
easat-8312	369	6	,	,	PUNCT
easat-8312	369	7	g.	g.	PROPN
easat-8312	369	8	sakthivel	sakthivel	PROPN
easat-8312	369	9	,	,	PUNCT
easat-8312	369	10	and	and	CCONJ
easat-8312	369	11	r.	r.	PROPN
easat-8312	369	12	ragala	ragala	PROPN
easat-8312	369	13	,	,	PUNCT
easat-8312	369	14	"	"	PUNCT
easat-8312	369	15	a	a	DET
easat-8312	369	16	review	review	NOUN
easat-8312	369	17	of	of	ADP
easat-8312	369	18	artificial	artificial	ADJ
easat-8312	369	19	intelligence	intelligence	NOUN
easat-8312	369	20	applications	application	NOUN
easat-8312	369	21	in	in	ADP
easat-8312	369	22	wind	wind	NOUN
easat-8312	369	23	turbine	turbine	NOUN
easat-8312	369	24	health	health	NOUN
easat-8312	369	25	monitoring	monitoring	NOUN
easat-8312	369	26	,	,	PUNCT
easat-8312	369	27	"	"	PUNCT
easat-8312	369	28	international	international	ADJ
easat-8312	369	29	journal	journal	NOUN
easat-8312	369	30	of	of	ADP
easat-8312	369	31	sustainable	sustainable	ADJ
easat-8312	369	32	energy	energy	NOUN
easat-8312	369	33	,	,	PUNCT
easat-8312	369	34	vol	vol	NOUN
easat-8312	369	35	.	.	PROPN
easat-8312	369	36	43	43	NUM
easat-8312	369	37	,	,	PUNCT
easat-8312	369	38	no	no	INTJ
easat-8312	369	39	.	.	NOUN
easat-8312	369	40	1	1	NUM
easat-8312	369	41	,	,	PUNCT
easat-8312	369	42	p.	p.	NOUN
easat-8312	369	43	2326296	2326296	NUM
easat-8312	369	44	,	,	PUNCT
easat-8312	369	45	2024	2024	NUM
easat-8312	369	46	.	.	PUNCT
easat-8312	370	1	[	[	X
easat-8312	370	2	37	37	NUM
easat-8312	370	3	]	]	PUNCT
easat-8312	370	4	c.	c.	PROPN
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easat-8312	370	9	,	,	PUNCT
easat-8312	370	10	m.	m.	PROPN
easat-8312	370	11	jiang	jiang	PROPN
easat-8312	370	12	,	,	PUNCT
easat-8312	370	13	p.	p.	PROPN
easat-8312	370	14	long	long	ADV
easat-8312	370	15	,	,	PUNCT
easat-8312	370	16	s.	s.	PROPN
easat-8312	370	17	yu	yu	PROPN
easat-8312	370	18	,	,	PUNCT
easat-8312	370	19	and	and	CCONJ
easat-8312	370	20	y.	y.	PROPN
easat-8312	370	21	liu	liu	PROPN
easat-8312	370	22	,	,	PUNCT
easat-8312	370	23	"	"	PUNCT
easat-8312	370	24	wavelet	wavelet	NOUN
easat-8312	370	25	fcnn	fcnn	NOUN
easat-8312	370	26	:	:	PUNCT
easat-8312	370	27	a	a	DET
easat-8312	370	28	deep	deep	ADJ
easat-8312	370	29	time	time	NOUN
easat-8312	370	30	series	series	PROPN
easat-8312	370	31	classification	classification	NOUN
easat-8312	370	32	model	model	NOUN
easat-8312	370	33	for	for	ADP
easat-8312	370	34	wind	wind	NOUN
easat-8312	370	35	turbine	turbine	NOUN
easat-8312	370	36	blade	blade	NOUN
easat-8312	370	37	icing	ice	VERB
easat-8312	370	38	detection	detection	NOUN
easat-8312	370	39	,	,	PUNCT
easat-8312	370	40	"	"	PUNCT
easat-8312	370	41	ar	ar	PROPN
easat-8312	370	42	xiv	xiv	PROPN
easat-8312	370	43	preprint	preprint	PROPN
easat-8312	370	44	,	,	PUNCT
easat-8312	370	45	ar	ar	PROPN
easat-8312	370	46	xiv:1902.05625	xiv:1902.05625	PROPN
easat-8312	370	47	,	,	PUNCT
easat-8312	370	48	2019	2019	NUM
easat-8312	370	49	.	.	PUNCT
easat-8312	371	1	[	[	X
easat-8312	371	2	38	38	NUM
easat-8312	371	3	]	]	PUNCT
easat-8312	371	4	z.	z.	PROPN
easat-8312	371	5	wang	wang	PROPN
easat-8312	371	6	,	,	PUNCT
easat-8312	371	7	w.	w.	PROPN
easat-8312	371	8	yan	yan	PROPN
easat-8312	371	9	,	,	PUNCT
easat-8312	371	10	and	and	CCONJ
easat-8312	371	11	t.	t.	PROPN
easat-8312	371	12	oates	oates	PROPN
easat-8312	371	13	,	,	PUNCT
easat-8312	371	14	"	"	PUNCT
easat-8312	371	15	time	time	NOUN
easat-8312	371	16	series	series	NOUN
easat-8312	371	17	classification	classification	NOUN
easat-8312	371	18	from	from	ADP
easat-8312	371	19	scratch	scratch	NOUN
easat-8312	371	20	with	with	ADP
easat-8312	371	21	deep	deep	ADJ
easat-8312	371	22	neural	neural	ADJ
easat-8312	371	23	networks	network	NOUN
easat-8312	371	24	:	:	PUNCT
easat-8312	371	25	a	a	DET
easat-8312	371	26	strong	strong	ADJ
easat-8312	371	27	baseline	baseline	NOUN
easat-8312	371	28	,	,	PUNCT
easat-8312	371	29	"	"	PUNCT
easat-8312	371	30	presented	present	VERB
easat-8312	371	31	at	at	ADP
easat-8312	371	32	the	the	DET
easat-8312	371	33	in	in	ADP
easat-8312	371	34	2017	2017	NUM
easat-8312	371	35	international	international	ADJ
easat-8312	371	36	joint	joint	ADJ
easat-8312	371	37	conference	conference	NOUN
easat-8312	371	38	on	on	ADP
easat-8312	371	39	neural	neural	ADJ
easat-8312	371	40	networks	network	NOUN
easat-8312	371	41	(	(	PUNCT
easat-8312	371	42	ijcnn	ijcnn	PROPN
easat-8312	371	43	)	)	PUNCT
easat-8312	371	44	(	(	PUNCT
easat-8312	371	45	pp	pp	ADJ
easat-8312	371	46	.	.	PUNCT
easat-8312	371	47	1578	1578	NUM
easat-8312	371	48	-	-	SYM
easat-8312	371	49	1585	1585	NUM
easat-8312	371	50	)	)	PUNCT
easat-8312	371	51	.	.	PUNCT
easat-8312	372	1	ieee	ieee	PROPN
easat-8312	372	2	,	,	PUNCT
easat-8312	372	3	2017	2017	NUM
easat-8312	372	4	.	.	PUNCT
easat-8312	373	1	[	[	X
easat-8312	373	2	39	39	NUM
easat-8312	373	3	]	]	PUNCT
easat-8312	373	4	l.	l.	PROPN
easat-8312	373	5	xiong	xiong	PROPN
easat-8312	373	6	,	,	PUNCT
easat-8312	373	7	c.	c.	PROPN
easat-8312	373	8	yi	yi	PROPN
easat-8312	373	9	,	,	PUNCT
easat-8312	373	10	q.	q.	PROPN
easat-8312	373	11	xiong	xiong	PROPN
easat-8312	373	12	,	,	PUNCT
easat-8312	373	13	and	and	CCONJ
easat-8312	373	14	s.	s.	PROPN
easat-8312	373	15	jiang	jiang	PROPN
easat-8312	373	16	,	,	PUNCT
easat-8312	373	17	"	"	PUNCT
easat-8312	373	18	sea	sea	NOUN
easat-8312	373	19	-	-	PUNCT
easat-8312	373	20	net	net	NOUN
easat-8312	373	21	:	:	PUNCT
easat-8312	373	22	medical	medical	ADJ
easat-8312	373	23	image	image	NOUN
easat-8312	373	24	segmentation	segmentation	NOUN
easat-8312	373	25	network	network	NOUN
easat-8312	373	26	based	base	VERB
easat-8312	373	27	on	on	ADP
easat-8312	373	28	spiral	spiral	ADJ
easat-8312	373	29	squeezeand	squeezeand	NOUN
easat-8312	373	30	-	-	PUNCT
easat-8312	373	31	excitation	excitation	NOUN
easat-8312	373	32	and	and	CCONJ
easat-8312	373	33	attention	attention	NOUN
easat-8312	373	34	modules	module	NOUN
easat-8312	373	35	,	,	PUNCT
easat-8312	373	36	"	"	PUNCT
easat-8312	373	37	bmc	bmc	PROPN
easat-8312	373	38	medical	medical	ADJ
easat-8312	373	39	imaging	imaging	NOUN
easat-8312	373	40	,	,	PUNCT
easat-8312	373	41	vol	vol	NOUN
easat-8312	373	42	.	.	PROPN
easat-8312	373	43	24	24	NUM
easat-8312	373	44	,	,	PUNCT
easat-8312	373	45	no	no	INTJ
easat-8312	373	46	.	.	NOUN
easat-8312	373	47	1	1	NUM
easat-8312	373	48	,	,	PUNCT
easat-8312	373	49	p.	p.	NOUN
easat-8312	373	50	17	17	NUM
easat-8312	373	51	,	,	PUNCT
easat-8312	373	52	2024	2024	NUM
easat-8312	373	53	.	.	PUNCT
easat-8312	374	1	https://doi.org/10.1186/s12880-024-01194-8	https://doi.org/10.1186/s12880-024-01194-8	NUM
easat-8312	375	1	[	[	X
easat-8312	375	2	40	40	NUM
easat-8312	375	3	]	]	PUNCT
easat-8312	375	4	a.	a.	PROPN
easat-8312	375	5	f.	f.	PROPN
easat-8312	375	6	gad	gad	PROPN
easat-8312	375	7	,	,	PUNCT
easat-8312	375	8	"	"	PUNCT
easat-8312	375	9	pygad	pygad	ADJ
easat-8312	375	10	:	:	PUNCT
easat-8312	375	11	an	an	DET
easat-8312	375	12	intuitive	intuitive	ADJ
easat-8312	375	13	genetic	genetic	ADJ
easat-8312	375	14	algorithm	algorithm	NOUN
easat-8312	375	15	python	python	NOUN
easat-8312	375	16	library	library	NOUN
easat-8312	375	17	,	,	PUNCT
easat-8312	375	18	"	"	PUNCT
easat-8312	375	19	multimedia	multimedia	NOUN
easat-8312	375	20	tools	tool	NOUN
easat-8312	375	21	and	and	CCONJ
easat-8312	375	22	applications	application	NOUN
easat-8312	375	23	,	,	PUNCT
easat-8312	375	24	vol	vol	NOUN
easat-8312	375	25	.	.	PROPN
easat-8312	375	26	83	83	NUM
easat-8312	375	27	,	,	PUNCT
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easat-8312	375	29	.	.	NOUN
easat-8312	375	30	20	20	NUM
easat-8312	375	31	,	,	PUNCT
easat-8312	375	32	pp	pp	ADJ
easat-8312	375	33	.	.	PUNCT
easat-8312	376	1	58029	58029	NUM
easat-8312	376	2	-	-	SYM
easat-8312	376	3	58042	58042	NUM
easat-8312	376	4	,	,	PUNCT
easat-8312	376	5	2024	2024	NUM
easat-8312	376	6	.	.	PUNCT
easat-8312	377	1	https://doi.org/10.1007/s11042-023-17167-y	https://doi.org/10.1007/s11042-023-17167-y	PROPN
easat-8312	377	2	https://doi.org/10.1016/j.compeleceng.2020.106751	https://doi.org/10.1016/j.compeleceng.2020.106751	PROPN
easat-8312	377	3	https://doi.org/10.1016/j.renene.2021.09.008	https://doi.org/10.1016/j.renene.2021.09.008	PROPN
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easat-8312	377	6	https://doi.org/10.1109/jsen.2024.3358873	https://doi.org/10.1109/jsen.2024.3358873	PROPN
easat-8312	377	7	https://doi.org/10.1109/jsen.2021.3093726	https://doi.org/10.1109/jsen.2021.3093726	PROPN
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easat-8312	377	9	https://doi.org/10.1016/j.knosys.2022.108290	https://doi.org/10.1016/j.knosys.2022.108290	ADJ
easat-8312	377	10	https://doi.org/10.1109/tim.2022.3205920	https://doi.org/10.1109/tim.2022.3205920	NOUN
easat-8312	377	11	https://doi.org/10.1109/tnnls.2021.3102514	https://doi.org/10.1109/tnnls.2021.3102514	PROPN
easat-8312	377	12	https://doi.org/10.1088/1361-6501/ac8db1	https://doi.org/10.1088/1361-6501/ac8db1	PUNCT
easat-8312	377	13	https://doi.org/10.1109/tie.2021.3090702	https://doi.org/10.1109/tie.2021.3090702	ADJ
easat-8312	377	14	https://doi.org/10.1016/j.renene.2023.119741	https://doi.org/10.1016/j.renene.2023.119741	PROPN
easat-8312	377	15	https://doi.org/10.1109/tii.2024.3379668	https://doi.org/10.1109/tii.2024.3379668	VERB
easat-8312	377	16	https://doi.org/10.3969/j.issn.1006-2475.2019.07.002	https://doi.org/10.3969/j.issn.1006-2475.2019.07.002	PROPN
easat-8312	377	17	https://doi.org/10.1186/s12880-024-01194-8	https://doi.org/10.1186/s12880-024-01194-8	NUM
easat-8312	377	18	https://doi.org/10.1007/s11042-023-17167-y	https://doi.org/10.1007/s11042-023-17167-y	PROPN
easat-8312	377	19	2054	2054	NUM
easat-8312	377	20	edelweiss	edelweiss	PROPN
easat-8312	377	21	applied	apply	VERB
easat-8312	377	22	science	science	NOUN
easat-8312	377	23	and	and	CCONJ
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easat-8312	377	25	issn	issn	PROPN
easat-8312	377	26	:	:	PUNCT
easat-8312	377	27	2576	2576	NUM
easat-8312	377	28	-	-	SYM
easat-8312	377	29	8484	8484	NUM
easat-8312	377	30	vol	vol	NOUN
easat-8312	377	31	.	.	PROPN
easat-8312	378	1	9	9	NUM
easat-8312	378	2	,	,	PUNCT
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easat-8312	378	4	.	.	NOUN
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easat-8312	378	6	:	:	SYM
easat-8312	378	7	2035	2035	NUM
easat-8312	378	8	-	-	SYM
easat-8312	378	9	2054	2054	NUM
easat-8312	378	10	,	,	PUNCT
easat-8312	378	11	2025	2025	NUM
easat-8312	378	12	doi	doi	NOUN
easat-8312	378	13	:	:	PUNCT
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easat-8312	378	16	2025	2025	NUM
easat-8312	378	17	by	by	ADP
easat-8312	378	18	the	the	DET
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easat-8312	378	22	learning	learning	NOUN
easat-8312	378	23	gate	gate	NOUN
easat-8312	379	1	[	[	X
easat-8312	379	2	41	41	NUM
easat-8312	379	3	]	]	X
easat-8312	379	4	j.	j.	PROPN
easat-8312	379	5	águila	águila	PROPN
easat-8312	379	6	-	-	PUNCT
easat-8312	379	7	león	león	PROPN
easat-8312	379	8	,	,	PUNCT
easat-8312	379	9	c.	c.	PROPN
easat-8312	379	10	vargas	vargas	PROPN
easat-8312	379	11	-	-	PUNCT
easat-8312	379	12	salgado	salgado	PROPN
easat-8312	379	13	,	,	PUNCT
easat-8312	379	14	d.	d.	PROPN
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easat-8312	379	16	-	-	PUNCT
easat-8312	379	17	bello	bello	NOUN
easat-8312	379	18	,	,	PUNCT
easat-8312	379	19	and	and	CCONJ
easat-8312	379	20	c.	c.	PROPN
easat-8312	379	21	montagud	montagud	PROPN
easat-8312	379	22	-	-	PUNCT
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easat-8312	379	24	,	,	PUNCT
easat-8312	379	25	"	"	PUNCT
easat-8312	379	26	optimizing	optimize	VERB
easat-8312	379	27	photovoltaic	photovoltaic	NOUN
easat-8312	379	28	systems	system	NOUN
easat-8312	379	29	:	:	PUNCT
easat-8312	379	30	a	a	DET
easat-8312	379	31	meta	meta	ADJ
easat-8312	379	32	-	-	PUNCT
easat-8312	379	33	optimization	optimization	NOUN
easat-8312	379	34	approach	approach	NOUN
easat-8312	379	35	with	with	ADP
easat-8312	379	36	gwo	gwo	PROPN
easat-8312	379	37	-	-	ADJ
easat-8312	379	38	enhanced	enhance	VERB
easat-8312	379	39	pso	pso	NOUN
easat-8312	379	40	algorithm	algorithm	NOUN
easat-8312	379	41	for	for	ADP
easat-8312	379	42	improving	improve	VERB
easat-8312	379	43	mppt	mppt	NOUN
easat-8312	379	44	controllers	controller	NOUN
easat-8312	379	45	,	,	PUNCT
easat-8312	379	46	"	"	PUNCT
easat-8312	379	47	renewable	renewable	ADJ
easat-8312	379	48	energy	energy	NOUN
easat-8312	379	49	,	,	PUNCT
easat-8312	379	50	vol	vol	NOUN
easat-8312	379	51	.	.	PROPN
easat-8312	379	52	230	230	NUM
easat-8312	379	53	,	,	PUNCT
easat-8312	379	54	p.	p.	NOUN
easat-8312	379	55	120892	120892	NUM
easat-8312	379	56	,	,	PUNCT
easat-8312	379	57	2024	2024	NUM
easat-8312	379	58	.	.	PUNCT
easat-8312	379	59	https://doi.org/10.1016/j.renene.2024.120892	https://doi.org/10.1016/j.renene.2024.120892	PROPN
easat-8312	379	60	https://doi.org/10.1016/j.renene.2024.120892	https://doi.org/10.1016/j.renene.2024.120892	PROPN