id	sid	tid	token	lemma	pos
ajst-18568	1	1	academic	academic	ADJ
ajst-18568	1	2	journal	journal	NOUN
ajst-18568	1	3	of	of	ADP
ajst-18568	1	4	science	science	NOUN
ajst-18568	1	5	and	and	CCONJ
ajst-18568	1	6	technology	technology	NOUN
ajst-18568	1	7	issn	issn	NOUN
ajst-18568	1	8	:	:	PUNCT
ajst-18568	1	9	2771	2771	NUM
ajst-18568	1	10	-	-	SYM
ajst-18568	1	11	3032	3032	NUM
ajst-18568	1	12	|	|	NOUN
ajst-18568	1	13	vol	vol	NOUN
ajst-18568	1	14	.	.	PROPN
ajst-18568	2	1	9	9	NUM
ajst-18568	2	2	,	,	PUNCT
ajst-18568	2	3	no	no	INTJ
ajst-18568	2	4	.	.	NOUN
ajst-18568	2	5	3	3	NUM
ajst-18568	2	6	,	,	PUNCT
ajst-18568	2	7	2024	2024	NUM
ajst-18568	2	8	181	181	NUM
ajst-18568	2	9	remaining	remain	VERB
ajst-18568	2	10	useful	useful	ADJ
ajst-18568	2	11	life	life	NOUN
ajst-18568	2	12	prediction	prediction	NOUN
ajst-18568	2	13	of	of	ADP
ajst-18568	2	14	lithium‐ion	lithium‐ion	NOUN
ajst-18568	2	15	batteries	battery	NOUN
ajst-18568	2	16	based	base	VERB
ajst-18568	2	17	on	on	ADP
ajst-18568	2	18	transfer	transfer	NOUN
ajst-18568	2	19	learning	learning	NOUN
ajst-18568	2	20	and	and	CCONJ
ajst-18568	2	21	dae‐lstm	dae‐lstm	PROPN
ajst-18568	2	22	yun	yun	PROPN
ajst-18568	2	23	shi1	shi1	PROPN
ajst-18568	2	24	,	,	PUNCT
ajst-18568	2	25	*	*	PROPN
ajst-18568	2	26	1college	1college	NUM
ajst-18568	2	27	of	of	ADP
ajst-18568	2	28	electronics	electronic	NOUN
ajst-18568	2	29	and	and	CCONJ
ajst-18568	2	30	information	information	NOUN
ajst-18568	2	31	,	,	PUNCT
ajst-18568	2	32	southwest	southwest	PROPN
ajst-18568	2	33	minzu	minzu	PROPN
ajst-18568	2	34	university	university	PROPN
ajst-18568	2	35	,	,	PUNCT
ajst-18568	2	36	chengdu	chengdu	PROPN
ajst-18568	2	37	610225	610225	NUM
ajst-18568	2	38	,	,	PUNCT
ajst-18568	3	1	china	china	PROPN
ajst-18568	3	2	*	*	PUNCT
ajst-18568	3	3	correspondence	correspondence	NOUN
ajst-18568	3	4	:	:	PUNCT
ajst-18568	4	1	863940389@qq.com	863940389@qq.com	NUM
ajst-18568	4	2	;	;	PUNCT
ajst-18568	4	3	tel	tel	PROPN
ajst-18568	4	4	.	.	PUNCT
ajst-18568	4	5	:	:	PUNCT
ajst-18568	5	1	+86	+86	PROPN
ajst-18568	5	2	-	-	SYM
ajst-18568	5	3	13402848458	13402848458	NUM
ajst-18568	5	4	abstract	abstract	NOUN
ajst-18568	5	5	:	:	PUNCT
ajst-18568	5	6	predicting	predict	VERB
ajst-18568	5	7	the	the	DET
ajst-18568	5	8	remaining	remain	VERB
ajst-18568	5	9	useful	useful	ADJ
ajst-18568	5	10	life	life	NOUN
ajst-18568	5	11	(	(	PUNCT
ajst-18568	5	12	rul	rul	NOUN
ajst-18568	5	13	)	)	PUNCT
ajst-18568	5	14	of	of	ADP
ajst-18568	5	15	lithium	lithium	NOUN
ajst-18568	5	16	-	-	PUNCT
ajst-18568	5	17	ion	ion	NOUN
ajst-18568	5	18	batteries	battery	NOUN
ajst-18568	5	19	is	be	AUX
ajst-18568	5	20	one	one	NUM
ajst-18568	5	21	of	of	ADP
ajst-18568	5	22	the	the	DET
ajst-18568	5	23	core	core	NOUN
ajst-18568	5	24	tasks	task	NOUN
ajst-18568	5	25	in	in	ADP
ajst-18568	5	26	battery	battery	NOUN
ajst-18568	5	27	health	health	NOUN
ajst-18568	5	28	management	management	NOUN
ajst-18568	5	29	.	.	PUNCT
ajst-18568	6	1	this	this	DET
ajst-18568	6	2	study	study	NOUN
ajst-18568	6	3	aims	aim	VERB
ajst-18568	6	4	to	to	PART
ajst-18568	6	5	enhance	enhance	VERB
ajst-18568	6	6	the	the	DET
ajst-18568	6	7	accuracy	accuracy	NOUN
ajst-18568	6	8	of	of	ADP
ajst-18568	6	9	rul	rul	NOUN
ajst-18568	6	10	prediction	prediction	NOUN
ajst-18568	6	11	by	by	ADP
ajst-18568	6	12	proposing	propose	VERB
ajst-18568	6	13	a	a	DET
ajst-18568	6	14	battery	battery	NOUN
ajst-18568	6	15	rul	rul	NOUN
ajst-18568	6	16	prediction	prediction	NOUN
ajst-18568	6	17	method	method	NOUN
ajst-18568	6	18	that	that	PRON
ajst-18568	6	19	integrates	integrate	VERB
ajst-18568	6	20	source	source	NOUN
ajst-18568	6	21	domain	domain	NOUN
ajst-18568	6	22	battery	battery	NOUN
ajst-18568	6	23	iteration	iteration	NOUN
ajst-18568	6	24	transfer	transfer	NOUN
ajst-18568	6	25	with	with	ADP
ajst-18568	6	26	long	long	ADJ
ajst-18568	6	27	short	short	ADJ
ajst-18568	6	28	-	-	PUNCT
ajst-18568	6	29	term	term	NOUN
ajst-18568	6	30	memory	memory	NOUN
ajst-18568	6	31	(	(	PUNCT
ajst-18568	6	32	lstm	lstm	NOUN
ajst-18568	6	33	)	)	PUNCT
ajst-18568	6	34	neural	neural	ADJ
ajst-18568	6	35	networks	network	NOUN
ajst-18568	6	36	.	.	PUNCT
ajst-18568	7	1	firstly	firstly	ADV
ajst-18568	7	2	,	,	PUNCT
ajst-18568	7	3	multiple	multiple	ADJ
ajst-18568	7	4	batteries	battery	NOUN
ajst-18568	7	5	with	with	ADP
ajst-18568	7	6	known	know	VERB
ajst-18568	7	7	degradation	degradation	NOUN
ajst-18568	7	8	trends	trend	NOUN
ajst-18568	7	9	are	be	AUX
ajst-18568	7	10	utilized	utilize	VERB
ajst-18568	7	11	as	as	ADP
ajst-18568	7	12	source	source	NOUN
ajst-18568	7	13	domain	domain	NOUN
ajst-18568	7	14	batteries	battery	NOUN
ajst-18568	7	15	,	,	PUNCT
ajst-18568	7	16	and	and	CCONJ
ajst-18568	7	17	combined	combine	VERB
ajst-18568	7	18	with	with	ADP
ajst-18568	7	19	full	full	ADJ
ajst-18568	7	20	-	-	PUNCT
ajst-18568	7	21	lifetime	lifetime	NOUN
ajst-18568	7	22	capacity	capacity	NOUN
ajst-18568	7	23	degradation	degradation	NOUN
ajst-18568	7	24	data	datum	NOUN
ajst-18568	7	25	to	to	PART
ajst-18568	7	26	construct	construct	VERB
ajst-18568	7	27	the	the	DET
ajst-18568	7	28	source	source	NOUN
ajst-18568	7	29	domain	domain	NOUN
ajst-18568	7	30	battery	battery	NOUN
ajst-18568	7	31	iterations	iteration	NOUN
ajst-18568	7	32	module	module	NOUN
ajst-18568	7	33	(	(	PUNCT
ajst-18568	7	34	sim	sim	NOUN
ajst-18568	7	35	)	)	PUNCT
ajst-18568	7	36	to	to	PART
ajst-18568	7	37	obtain	obtain	VERB
ajst-18568	7	38	the	the	DET
ajst-18568	7	39	optimal	optimal	ADJ
ajst-18568	7	40	lstm	lstm	ADJ
ajst-18568	7	41	pre	pre	ADJ
ajst-18568	7	42	-	-	ADJ
ajst-18568	7	43	training	training	ADJ
ajst-18568	7	44	model	model	NOUN
ajst-18568	7	45	.	.	PUNCT
ajst-18568	8	1	secondly	secondly	ADV
ajst-18568	8	2	,	,	PUNCT
ajst-18568	8	3	the	the	DET
ajst-18568	8	4	pre	pre	ADJ
ajst-18568	8	5	-	-	ADJ
ajst-18568	8	6	trained	train	VERB
ajst-18568	8	7	model	model	NOUN
ajst-18568	8	8	is	be	AUX
ajst-18568	8	9	transferred	transfer	VERB
ajst-18568	8	10	to	to	ADP
ajst-18568	8	11	the	the	DET
ajst-18568	8	12	target	target	NOUN
ajst-18568	8	13	domain	domain	NOUN
ajst-18568	8	14	and	and	CCONJ
ajst-18568	8	15	fine	fine	ADV
ajst-18568	8	16	-	-	PUNCT
ajst-18568	8	17	tuned	tune	VERB
ajst-18568	8	18	using	use	VERB
ajst-18568	8	19	the	the	DET
ajst-18568	8	20	target	target	NOUN
ajst-18568	8	21	domain	domain	NOUN
ajst-18568	8	22	training	training	NOUN
ajst-18568	8	23	set	set	NOUN
ajst-18568	8	24	.	.	PUNCT
ajst-18568	9	1	finally	finally	ADV
ajst-18568	9	2	,	,	PUNCT
ajst-18568	9	3	the	the	DET
ajst-18568	9	4	fine	fine	ADV
ajst-18568	9	5	-	-	PUNCT
ajst-18568	9	6	tuned	tune	VERB
ajst-18568	9	7	lstm	lstm	ADJ
ajst-18568	9	8	pre	pre	ADJ
ajst-18568	9	9	-	-	ADJ
ajst-18568	9	10	training	training	ADJ
ajst-18568	9	11	model	model	NOUN
ajst-18568	9	12	is	be	AUX
ajst-18568	9	13	applied	apply	VERB
ajst-18568	9	14	to	to	ADP
ajst-18568	9	15	the	the	DET
ajst-18568	9	16	task	task	NOUN
ajst-18568	9	17	of	of	ADP
ajst-18568	9	18	predicting	predict	VERB
ajst-18568	9	19	the	the	DET
ajst-18568	9	20	capacity	capacity	NOUN
ajst-18568	9	21	of	of	ADP
ajst-18568	9	22	target	target	NOUN
ajst-18568	9	23	domain	domain	NOUN
ajst-18568	9	24	batteries	battery	NOUN
ajst-18568	9	25	,	,	PUNCT
ajst-18568	9	26	thereby	thereby	ADV
ajst-18568	9	27	completing	complete	VERB
ajst-18568	9	28	the	the	DET
ajst-18568	9	29	rul	rul	NOUN
ajst-18568	9	30	prediction	prediction	NOUN
ajst-18568	9	31	.	.	PUNCT
ajst-18568	10	1	the	the	DET
ajst-18568	10	2	effectiveness	effectiveness	NOUN
ajst-18568	10	3	of	of	ADP
ajst-18568	10	4	the	the	DET
ajst-18568	10	5	algorithm	algorithm	NOUN
ajst-18568	10	6	is	be	AUX
ajst-18568	10	7	validated	validate	VERB
ajst-18568	10	8	on	on	ADP
ajst-18568	10	9	three	three	NUM
ajst-18568	10	10	open	open	ADJ
ajst-18568	10	11	-	-	PUNCT
ajst-18568	10	12	source	source	NOUN
ajst-18568	10	13	datasets	dataset	NOUN
ajst-18568	10	14	.	.	PUNCT
ajst-18568	11	1	experimental	experimental	ADJ
ajst-18568	11	2	results	result	NOUN
ajst-18568	11	3	demonstrate	demonstrate	VERB
ajst-18568	11	4	that	that	SCONJ
ajst-18568	11	5	in	in	ADP
ajst-18568	11	6	scenarios	scenario	NOUN
ajst-18568	11	7	where	where	SCONJ
ajst-18568	11	8	the	the	DET
ajst-18568	11	9	source	source	NOUN
ajst-18568	11	10	domain	domain	NOUN
ajst-18568	11	11	and	and	CCONJ
ajst-18568	11	12	target	target	NOUN
ajst-18568	11	13	domain	domain	NOUN
ajst-18568	11	14	battery	battery	NOUN
ajst-18568	11	15	types	type	NOUN
ajst-18568	11	16	are	be	AUX
ajst-18568	11	17	the	the	DET
ajst-18568	11	18	same	same	ADJ
ajst-18568	11	19	,	,	PUNCT
ajst-18568	11	20	the	the	DET
ajst-18568	11	21	absolute	absolute	ADJ
ajst-18568	11	22	error	error	NOUN
ajst-18568	11	23	of	of	ADP
ajst-18568	11	24	rul	rul	NOUN
ajst-18568	11	25	prediction	prediction	NOUN
ajst-18568	11	26	is	be	AUX
ajst-18568	11	27	less	less	ADJ
ajst-18568	11	28	than	than	ADP
ajst-18568	11	29	2	2	NUM
ajst-18568	11	30	cycles	cycle	NOUN
ajst-18568	11	31	.	.	PUNCT
ajst-18568	12	1	moreover	moreover	ADV
ajst-18568	12	2	,	,	PUNCT
ajst-18568	12	3	in	in	ADP
ajst-18568	12	4	cases	case	NOUN
ajst-18568	12	5	where	where	SCONJ
ajst-18568	12	6	the	the	DET
ajst-18568	12	7	battery	battery	NOUN
ajst-18568	12	8	types	type	NOUN
ajst-18568	12	9	differ	differ	VERB
ajst-18568	12	10	,	,	PUNCT
ajst-18568	12	11	except	except	SCONJ
ajst-18568	12	12	for	for	ADP
ajst-18568	12	13	the	the	DET
ajst-18568	12	14	20	20	NUM
ajst-18568	12	15	%	%	NOUN
ajst-18568	12	16	prediction	prediction	NOUN
ajst-18568	12	17	starting	starting	NOUN
ajst-18568	12	18	point	point	NOUN
ajst-18568	12	19	,	,	PUNCT
ajst-18568	12	20	the	the	DET
ajst-18568	12	21	rul	rul	NOUN
ajst-18568	12	22	prediction	prediction	NOUN
ajst-18568	12	23	error	error	NOUN
ajst-18568	12	24	is	be	AUX
ajst-18568	12	25	less	less	ADJ
ajst-18568	12	26	than	than	ADP
ajst-18568	12	27	10	10	NUM
ajst-18568	12	28	cycles	cycle	NOUN
ajst-18568	12	29	,	,	PUNCT
ajst-18568	12	30	indicating	indicate	VERB
ajst-18568	12	31	a	a	DET
ajst-18568	12	32	high	high	ADJ
ajst-18568	12	33	level	level	NOUN
ajst-18568	12	34	of	of	ADP
ajst-18568	12	35	prediction	prediction	NOUN
ajst-18568	12	36	accuracy	accuracy	NOUN
ajst-18568	12	37	.	.	PUNCT
ajst-18568	13	1	keywords	keyword	NOUN
ajst-18568	13	2	:	:	PUNCT
ajst-18568	13	3	lithium	lithium	NOUN
ajst-18568	13	4	-	-	PUNCT
ajst-18568	13	5	ion	ion	NOUN
ajst-18568	13	6	battery	battery	NOUN
ajst-18568	13	7	,	,	PUNCT
ajst-18568	13	8	remaining	remain	VERB
ajst-18568	13	9	life	life	NOUN
ajst-18568	13	10	prediction	prediction	NOUN
ajst-18568	13	11	,	,	PUNCT
ajst-18568	13	12	long	long	ADJ
ajst-18568	13	13	short	short	ADJ
ajst-18568	13	14	-	-	PUNCT
ajst-18568	13	15	term	term	NOUN
ajst-18568	13	16	memory	memory	NOUN
ajst-18568	13	17	neural	neural	ADJ
ajst-18568	13	18	network	network	NOUN
ajst-18568	13	19	,	,	PUNCT
ajst-18568	13	20	transfer	transfer	NOUN
ajst-18568	13	21	learning	learning	NOUN
ajst-18568	13	22	,	,	PUNCT
ajst-18568	13	23	source	source	NOUN
ajst-18568	13	24	domain	domain	NOUN
ajst-18568	13	25	battery	battery	NOUN
ajst-18568	13	26	iteration	iteration	NOUN
ajst-18568	13	27	module	module	NOUN
ajst-18568	13	28	(	(	PUNCT
ajst-18568	13	29	sim	sim	NOUN
ajst-18568	13	30	)	)	PUNCT
ajst-18568	13	31	.	.	PUNCT
ajst-18568	14	1	1	1	X
ajst-18568	14	2	.	.	X
ajst-18568	14	3	introduction	introduction	NOUN
ajst-18568	14	4	lithium	lithium	NOUN
ajst-18568	14	5	-	-	PUNCT
ajst-18568	14	6	ion	ion	NOUN
ajst-18568	14	7	batteries	battery	NOUN
ajst-18568	14	8	are	be	AUX
ajst-18568	14	9	widely	widely	ADV
ajst-18568	14	10	employed	employ	VERB
ajst-18568	14	11	in	in	ADP
ajst-18568	14	12	various	various	ADJ
ajst-18568	14	13	fields	field	NOUN
ajst-18568	14	14	such	such	ADJ
ajst-18568	14	15	as	as	ADP
ajst-18568	14	16	consumer	consumer	NOUN
ajst-18568	14	17	electronics	electronic	NOUN
ajst-18568	14	18	,	,	PUNCT
ajst-18568	14	19	electric	electric	ADJ
ajst-18568	14	20	vehicles	vehicle	NOUN
ajst-18568	14	21	,	,	PUNCT
ajst-18568	14	22	and	and	CCONJ
ajst-18568	14	23	aerospace	aerospace	NOUN
ajst-18568	14	24	due	due	ADP
ajst-18568	14	25	to	to	ADP
ajst-18568	14	26	their	their	PRON
ajst-18568	14	27	high	high	ADJ
ajst-18568	14	28	energy	energy	NOUN
ajst-18568	14	29	density	density	NOUN
ajst-18568	14	30	,	,	PUNCT
ajst-18568	14	31	long	long	ADJ
ajst-18568	14	32	lifespan	lifespan	NOUN
ajst-18568	14	33	,	,	PUNCT
ajst-18568	14	34	and	and	CCONJ
ajst-18568	14	35	environmental	environmental	ADJ
ajst-18568	14	36	friendliness	friendliness	NOUN
ajst-18568	15	1	[	[	X
ajst-18568	15	2	1	1	NUM
ajst-18568	15	3	]	]	PUNCT
ajst-18568	15	4	.	.	PUNCT
ajst-18568	16	1	however	however	ADV
ajst-18568	16	2	,	,	PUNCT
ajst-18568	16	3	factors	factor	NOUN
ajst-18568	16	4	such	such	ADJ
ajst-18568	16	5	as	as	ADP
ajst-18568	16	6	frequent	frequent	ADJ
ajst-18568	16	7	charging	charging	NOUN
ajst-18568	16	8	and	and	CCONJ
ajst-18568	16	9	discharging	discharge	VERB
ajst-18568	16	10	cycles	cycle	NOUN
ajst-18568	16	11	and	and	CCONJ
ajst-18568	16	12	changes	change	NOUN
ajst-18568	16	13	in	in	ADP
ajst-18568	16	14	environmental	environmental	ADJ
ajst-18568	16	15	temperature	temperature	NOUN
ajst-18568	16	16	can	can	AUX
ajst-18568	16	17	significantly	significantly	ADV
ajst-18568	16	18	affect	affect	VERB
ajst-18568	16	19	their	their	PRON
ajst-18568	16	20	lifespan	lifespan	NOUN
ajst-18568	16	21	[	[	X
ajst-18568	16	22	2	2	NUM
ajst-18568	16	23	]	]	PUNCT
ajst-18568	16	24	.	.	PUNCT
ajst-18568	17	1	battery	battery	NOUN
ajst-18568	17	2	aging	aging	NOUN
ajst-18568	17	3	is	be	AUX
ajst-18568	17	4	primarily	primarily	ADV
ajst-18568	17	5	characterized	characterize	VERB
ajst-18568	17	6	by	by	ADP
ajst-18568	17	7	a	a	DET
ajst-18568	17	8	decrease	decrease	NOUN
ajst-18568	17	9	in	in	ADP
ajst-18568	17	10	capacity	capacity	NOUN
ajst-18568	17	11	and	and	CCONJ
ajst-18568	17	12	an	an	DET
ajst-18568	17	13	increase	increase	NOUN
ajst-18568	17	14	in	in	ADP
ajst-18568	17	15	equivalent	equivalent	ADJ
ajst-18568	17	16	internal	internal	ADJ
ajst-18568	17	17	resistance	resistance	NOUN
ajst-18568	17	18	[	[	X
ajst-18568	17	19	3	3	NUM
ajst-18568	17	20	]	]	PUNCT
ajst-18568	17	21	.	.	PUNCT
ajst-18568	18	1	timely	timely	ADJ
ajst-18568	18	2	replacement	replacement	NOUN
ajst-18568	18	3	of	of	ADP
ajst-18568	18	4	batteries	battery	NOUN
ajst-18568	18	5	is	be	AUX
ajst-18568	18	6	crucial	crucial	ADJ
ajst-18568	18	7	once	once	SCONJ
ajst-18568	18	8	they	they	PRON
ajst-18568	18	9	reach	reach	VERB
ajst-18568	18	10	their	their	PRON
ajst-18568	18	11	designated	designate	VERB
ajst-18568	18	12	end	end	NOUN
ajst-18568	18	13	-	-	PUNCT
ajst-18568	18	14	of	of	ADP
ajst-18568	18	15	-	-	PUNCT
ajst-18568	18	16	life	life	NOUN
ajst-18568	18	17	threshold	threshold	NOUN
ajst-18568	18	18	to	to	PART
ajst-18568	18	19	ensure	ensure	VERB
ajst-18568	18	20	the	the	DET
ajst-18568	18	21	safety	safety	NOUN
ajst-18568	18	22	of	of	ADP
ajst-18568	18	23	both	both	CCONJ
ajst-18568	18	24	the	the	DET
ajst-18568	18	25	battery	battery	NOUN
ajst-18568	18	26	and	and	CCONJ
ajst-18568	18	27	its	its	PRON
ajst-18568	18	28	operating	operating	NOUN
ajst-18568	18	29	system	system	NOUN
ajst-18568	18	30	[	[	X
ajst-18568	18	31	4	4	NUM
ajst-18568	18	32	]	]	PUNCT
ajst-18568	18	33	.	.	PUNCT
ajst-18568	19	1	therefore	therefore	ADV
ajst-18568	19	2	,	,	PUNCT
ajst-18568	19	3	accurate	accurate	ADJ
ajst-18568	19	4	prediction	prediction	NOUN
ajst-18568	19	5	of	of	ADP
ajst-18568	19	6	the	the	DET
ajst-18568	19	7	remaining	remain	VERB
ajst-18568	19	8	useful	useful	ADJ
ajst-18568	19	9	life	life	NOUN
ajst-18568	19	10	(	(	PUNCT
ajst-18568	19	11	rul	rul	NOUN
ajst-18568	19	12	)	)	PUNCT
ajst-18568	19	13	of	of	ADP
ajst-18568	19	14	lithium	lithium	NOUN
ajst-18568	19	15	-	-	PUNCT
ajst-18568	19	16	ion	ion	NOUN
ajst-18568	19	17	batteries	battery	NOUN
ajst-18568	19	18	is	be	AUX
ajst-18568	19	19	essential	essential	ADJ
ajst-18568	19	20	.	.	PUNCT
ajst-18568	20	1	in	in	ADP
ajst-18568	20	2	recent	recent	ADJ
ajst-18568	20	3	years	year	NOUN
ajst-18568	20	4	,	,	PUNCT
ajst-18568	20	5	with	with	ADP
ajst-18568	20	6	the	the	DET
ajst-18568	20	7	rapid	rapid	ADJ
ajst-18568	20	8	development	development	NOUN
ajst-18568	20	9	of	of	ADP
ajst-18568	20	10	machine	machine	NOUN
ajst-18568	20	11	learning	learning	NOUN
ajst-18568	20	12	and	and	CCONJ
ajst-18568	20	13	deep	deep	ADJ
ajst-18568	20	14	learning	learning	NOUN
ajst-18568	20	15	,	,	PUNCT
ajst-18568	20	16	data	datum	NOUN
ajst-18568	20	17	-	-	PUNCT
ajst-18568	20	18	driven	drive	VERB
ajst-18568	20	19	methods	method	NOUN
ajst-18568	20	20	for	for	ADP
ajst-18568	20	21	predicting	predict	VERB
ajst-18568	20	22	the	the	DET
ajst-18568	20	23	rul	rul	NOUN
ajst-18568	20	24	of	of	ADP
ajst-18568	20	25	lithium	lithium	NOUN
ajst-18568	20	26	-	-	PUNCT
ajst-18568	20	27	ion	ion	NOUN
ajst-18568	20	28	batteries	battery	NOUN
ajst-18568	20	29	have	have	AUX
ajst-18568	20	30	gained	gain	VERB
ajst-18568	20	31	significant	significant	ADJ
ajst-18568	20	32	attention	attention	NOUN
ajst-18568	20	33	.	.	PUNCT
ajst-18568	21	1	compared	compare	VERB
ajst-18568	21	2	to	to	ADP
ajst-18568	21	3	traditional	traditional	ADJ
ajst-18568	21	4	methods	method	NOUN
ajst-18568	21	5	based	base	VERB
ajst-18568	21	6	on	on	ADP
ajst-18568	21	7	equivalent	equivalent	ADJ
ajst-18568	21	8	circuits	circuit	NOUN
ajst-18568	21	9	[	[	X
ajst-18568	21	10	5	5	NUM
ajst-18568	21	11	]	]	PUNCT
ajst-18568	21	12	and	and	CCONJ
ajst-18568	21	13	physical	physical	ADJ
ajst-18568	21	14	models	model	NOUN
ajst-18568	21	15	[	[	X
ajst-18568	21	16	6	6	NUM
ajst-18568	21	17	]	]	PUNCT
ajst-18568	21	18	,	,	PUNCT
ajst-18568	21	19	data	data	NOUN
ajst-18568	21	20	-	-	PUNCT
ajst-18568	21	21	driven	drive	VERB
ajst-18568	21	22	approaches	approach	NOUN
ajst-18568	21	23	are	be	AUX
ajst-18568	21	24	more	more	ADV
ajst-18568	21	25	flexible	flexible	ADJ
ajst-18568	21	26	and	and	CCONJ
ajst-18568	21	27	can	can	AUX
ajst-18568	21	28	eliminate	eliminate	VERB
ajst-18568	21	29	the	the	DET
ajst-18568	21	30	complex	complex	ADJ
ajst-18568	21	31	process	process	NOUN
ajst-18568	21	32	of	of	ADP
ajst-18568	21	33	physical	physical	ADJ
ajst-18568	21	34	modeling	modeling	NOUN
ajst-18568	21	35	.	.	PUNCT
ajst-18568	22	1	they	they	PRON
ajst-18568	22	2	utilize	utilize	VERB
ajst-18568	22	3	historical	historical	ADJ
ajst-18568	22	4	data	datum	NOUN
ajst-18568	22	5	from	from	ADP
ajst-18568	22	6	battery	battery	NOUN
ajst-18568	22	7	operation	operation	NOUN
ajst-18568	22	8	to	to	PART
ajst-18568	22	9	effectively	effectively	ADV
ajst-18568	22	10	predict	predict	VERB
ajst-18568	22	11	the	the	DET
ajst-18568	22	12	remaining	remain	VERB
ajst-18568	22	13	useful	useful	ADJ
ajst-18568	22	14	life	life	NOUN
ajst-18568	22	15	of	of	ADP
ajst-18568	22	16	batteries	battery	NOUN
ajst-18568	22	17	[	[	X
ajst-18568	22	18	7	7	NUM
ajst-18568	22	19	]	]	PUNCT
ajst-18568	22	20	.	.	PUNCT
ajst-18568	23	1	recurrent	recurrent	ADJ
ajst-18568	23	2	neural	neural	ADJ
ajst-18568	23	3	networks	network	NOUN
ajst-18568	23	4	,	,	PUNCT
ajst-18568	23	5	with	with	ADP
ajst-18568	23	6	their	their	PRON
ajst-18568	23	7	unique	unique	ADJ
ajst-18568	23	8	memory	memory	NOUN
ajst-18568	23	9	structure	structure	NOUN
ajst-18568	23	10	,	,	PUNCT
ajst-18568	23	11	have	have	AUX
ajst-18568	23	12	demonstrated	demonstrate	VERB
ajst-18568	23	13	significant	significant	ADJ
ajst-18568	23	14	advantages	advantage	NOUN
ajst-18568	23	15	in	in	ADP
ajst-18568	23	16	handling	handle	VERB
ajst-18568	23	17	time	time	NOUN
ajst-18568	23	18	-	-	PUNCT
ajst-18568	23	19	series	series	NOUN
ajst-18568	23	20	data	datum	NOUN
ajst-18568	23	21	and	and	CCONJ
ajst-18568	23	22	are	be	AUX
ajst-18568	23	23	thus	thus	ADV
ajst-18568	23	24	commonly	commonly	ADV
ajst-18568	23	25	used	use	VERB
ajst-18568	23	26	in	in	ADP
ajst-18568	23	27	various	various	ADJ
ajst-18568	23	28	life	life	NOUN
ajst-18568	23	29	prediction	prediction	NOUN
ajst-18568	23	30	tasks	task	NOUN
ajst-18568	23	31	[	[	X
ajst-18568	23	32	8	8	NUM
ajst-18568	23	33	]	]	PUNCT
ajst-18568	23	34	.	.	PUNCT
ajst-18568	24	1	zhang	zhang	PROPN
ajst-18568	24	2	yongzhi	yongzhi	PROPN
ajst-18568	24	3	et	et	PROPN
ajst-18568	24	4	al	al	PROPN
ajst-18568	24	5	.	.	PUNCT
ajst-18568	25	1	[	[	X
ajst-18568	25	2	9	9	NUM
ajst-18568	25	3	]	]	PUNCT
ajst-18568	25	4	employed	employ	VERB
ajst-18568	25	5	long	long	ADJ
ajst-18568	25	6	short	short	ADJ
ajst-18568	25	7	-	-	PUNCT
ajst-18568	25	8	term	term	NOUN
ajst-18568	25	9	memory	memory	NOUN
ajst-18568	25	10	(	(	PUNCT
ajst-18568	25	11	lstm	lstm	ADJ
ajst-18568	25	12	)	)	PUNCT
ajst-18568	25	13	neural	neural	ADJ
ajst-18568	25	14	networks	network	NOUN
ajst-18568	25	15	to	to	PART
ajst-18568	25	16	capture	capture	VERB
ajst-18568	25	17	the	the	DET
ajst-18568	25	18	long	long	ADJ
ajst-18568	25	19	-	-	PUNCT
ajst-18568	25	20	term	term	NOUN
ajst-18568	25	21	correlations	correlation	NOUN
ajst-18568	25	22	between	between	ADP
ajst-18568	25	23	the	the	DET
ajst-18568	25	24	degradation	degradation	NOUN
ajst-18568	25	25	capacities	capacity	NOUN
ajst-18568	25	26	of	of	ADP
ajst-18568	25	27	lithium	lithium	NOUN
ajst-18568	25	28	-	-	PUNCT
ajst-18568	25	29	ion	ion	NOUN
ajst-18568	25	30	batteries	battery	NOUN
ajst-18568	25	31	.	.	PUNCT
ajst-18568	26	1	by	by	ADP
ajst-18568	26	2	segmenting	segment	VERB
ajst-18568	26	3	capacity	capacity	NOUN
ajst-18568	26	4	data	datum	NOUN
ajst-18568	26	5	using	use	VERB
ajst-18568	26	6	a	a	DET
ajst-18568	26	7	sliding	slide	VERB
ajst-18568	26	8	window	window	NOUN
ajst-18568	26	9	and	and	CCONJ
ajst-18568	26	10	iteratively	iteratively	ADV
ajst-18568	26	11	predicting	predict	VERB
ajst-18568	26	12	future	future	ADJ
ajst-18568	26	13	capacity	capacity	NOUN
ajst-18568	26	14	degradation	degradation	NOUN
ajst-18568	26	15	data	datum	NOUN
ajst-18568	26	16	,	,	PUNCT
ajst-18568	26	17	this	this	DET
ajst-18568	26	18	method	method	NOUN
ajst-18568	26	19	of	of	ADP
ajst-18568	26	20	sliding	slide	VERB
ajst-18568	26	21	window	window	NOUN
ajst-18568	26	22	segmentation	segmentation	NOUN
ajst-18568	26	23	and	and	CCONJ
ajst-18568	26	24	iterative	iterative	NOUN
ajst-18568	26	25	prediction	prediction	NOUN
ajst-18568	26	26	is	be	AUX
ajst-18568	26	27	one	one	NUM
ajst-18568	26	28	of	of	ADP
ajst-18568	26	29	the	the	DET
ajst-18568	26	30	most	most	ADV
ajst-18568	26	31	commonly	commonly	ADV
ajst-18568	26	32	used	use	VERB
ajst-18568	26	33	techniques	technique	NOUN
ajst-18568	26	34	in	in	ADP
ajst-18568	26	35	predicting	predict	VERB
ajst-18568	26	36	the	the	DET
ajst-18568	26	37	remaining	remain	VERB
ajst-18568	26	38	useful	useful	ADJ
ajst-18568	26	39	life	life	NOUN
ajst-18568	26	40	of	of	ADP
ajst-18568	26	41	lithium	lithium	NOUN
ajst-18568	26	42	-	-	PUNCT
ajst-18568	26	43	ion	ion	NOUN
ajst-18568	26	44	batteries	battery	NOUN
ajst-18568	26	45	.	.	PUNCT
ajst-18568	27	1	p.	p.	NOUN
ajst-18568	27	2	khumprom	khumprom	NOUN
ajst-18568	27	3	et	et	PROPN
ajst-18568	27	4	al	al	PROPN
ajst-18568	27	5	.	.	PUNCT
ajst-18568	28	1	[	[	X
ajst-18568	28	2	10	10	NUM
ajst-18568	28	3	]	]	PUNCT
ajst-18568	28	4	proposed	propose	VERB
ajst-18568	28	5	an	an	DET
ajst-18568	28	6	lstm	lstm	NOUN
ajst-18568	28	7	-	-	PUNCT
ajst-18568	28	8	based	base	VERB
ajst-18568	28	9	prediction	prediction	NOUN
ajst-18568	28	10	model	model	NOUN
ajst-18568	28	11	for	for	ADP
ajst-18568	28	12	battery	battery	NOUN
ajst-18568	28	13	life	life	NOUN
ajst-18568	28	14	prediction	prediction	NOUN
ajst-18568	28	15	,	,	PUNCT
ajst-18568	28	16	using	use	VERB
ajst-18568	28	17	capacity	capacity	NOUN
ajst-18568	28	18	data	datum	NOUN
ajst-18568	28	19	at	at	ADP
ajst-18568	28	20	50	50	NUM
ajst-18568	28	21	%	%	NOUN
ajst-18568	28	22	and	and	CCONJ
ajst-18568	28	23	70	70	NUM
ajst-18568	28	24	%	%	NOUN
ajst-18568	28	25	of	of	ADP
ajst-18568	28	26	the	the	DET
ajst-18568	28	27	lifecycle	lifecycle	NOUN
ajst-18568	28	28	for	for	ADP
ajst-18568	28	29	model	model	NOUN
ajst-18568	28	30	training	training	NOUN
ajst-18568	28	31	and	and	CCONJ
ajst-18568	28	32	subsequent	subsequent	ADJ
ajst-18568	28	33	remaining	remain	VERB
ajst-18568	28	34	life	life	NOUN
ajst-18568	28	35	prediction	prediction	NOUN
ajst-18568	28	36	.	.	PUNCT
ajst-18568	29	1	experimental	experimental	ADJ
ajst-18568	29	2	results	result	NOUN
ajst-18568	29	3	showed	show	VERB
ajst-18568	29	4	that	that	SCONJ
ajst-18568	29	5	the	the	DET
ajst-18568	29	6	model	model	NOUN
ajst-18568	29	7	trained	train	VERB
ajst-18568	29	8	with	with	ADP
ajst-18568	29	9	70	70	NUM
ajst-18568	29	10	%	%	NOUN
ajst-18568	29	11	lifecycle	lifecycle	NOUN
ajst-18568	29	12	data	datum	NOUN
ajst-18568	29	13	had	have	VERB
ajst-18568	29	14	higher	high	ADJ
ajst-18568	29	15	accuracy	accuracy	NOUN
ajst-18568	29	16	.	.	PUNCT
ajst-18568	30	1	this	this	PRON
ajst-18568	30	2	is	be	AUX
ajst-18568	30	3	not	not	PART
ajst-18568	30	4	only	only	ADV
ajst-18568	30	5	related	relate	VERB
ajst-18568	30	6	to	to	ADP
ajst-18568	30	7	the	the	DET
ajst-18568	30	8	amount	amount	NOUN
ajst-18568	30	9	of	of	ADP
ajst-18568	30	10	training	training	NOUN
ajst-18568	30	11	data	datum	NOUN
ajst-18568	30	12	but	but	CCONJ
ajst-18568	30	13	also	also	ADV
ajst-18568	30	14	to	to	ADP
ajst-18568	30	15	the	the	DET
ajst-18568	30	16	degradation	degradation	NOUN
ajst-18568	30	17	characteristics	characteristic	NOUN
ajst-18568	30	18	of	of	ADP
ajst-18568	30	19	lithium	lithium	NOUN
ajst-18568	30	20	-	-	PUNCT
ajst-18568	30	21	ion	ion	NOUN
ajst-18568	30	22	batteries	battery	NOUN
ajst-18568	30	23	.	.	PUNCT
ajst-18568	31	1	the	the	DET
ajst-18568	31	2	degradation	degradation	NOUN
ajst-18568	31	3	curve	curve	NOUN
ajst-18568	31	4	of	of	ADP
ajst-18568	31	5	batteries	battery	NOUN
ajst-18568	31	6	is	be	AUX
ajst-18568	31	7	nonlinear	nonlinear	ADJ
ajst-18568	31	8	,	,	PUNCT
ajst-18568	31	9	with	with	SCONJ
ajst-18568	31	10	the	the	DET
ajst-18568	31	11	degradation	degradation	NOUN
ajst-18568	31	12	rate	rate	NOUN
ajst-18568	31	13	in	in	ADP
ajst-18568	31	14	the	the	DET
ajst-18568	31	15	early	early	ADJ
ajst-18568	31	16	to	to	PART
ajst-18568	31	17	middle	middle	ADJ
ajst-18568	31	18	stages	stage	NOUN
ajst-18568	31	19	much	much	ADV
ajst-18568	31	20	slower	slow	ADJ
ajst-18568	31	21	than	than	ADP
ajst-18568	31	22	in	in	ADP
ajst-18568	31	23	the	the	DET
ajst-18568	31	24	later	later	ADJ
ajst-18568	31	25	stages	stage	NOUN
ajst-18568	31	26	[	[	X
ajst-18568	31	27	11	11	NUM
ajst-18568	31	28	]	]	PUNCT
ajst-18568	31	29	.	.	PUNCT
ajst-18568	32	1	thus	thus	ADV
ajst-18568	32	2	,	,	PUNCT
ajst-18568	32	3	modeling	model	VERB
ajst-18568	32	4	only	only	ADV
ajst-18568	32	5	the	the	DET
ajst-18568	32	6	slow	slow	ADJ
ajst-18568	32	7	degradation	degradation	NOUN
ajst-18568	32	8	rate	rate	NOUN
ajst-18568	32	9	in	in	ADP
ajst-18568	32	10	the	the	DET
ajst-18568	32	11	early	early	ADJ
ajst-18568	32	12	stages	stage	NOUN
ajst-18568	32	13	of	of	ADP
ajst-18568	32	14	the	the	DET
ajst-18568	32	15	battery	battery	NOUN
ajst-18568	32	16	and	and	CCONJ
ajst-18568	32	17	then	then	ADV
ajst-18568	32	18	predicting	predict	VERB
ajst-18568	32	19	the	the	DET
ajst-18568	32	20	life	life	NOUN
ajst-18568	32	21	using	use	VERB
ajst-18568	32	22	autoregression	autoregression	NOUN
ajst-18568	32	23	often	often	ADV
ajst-18568	32	24	leads	lead	VERB
ajst-18568	32	25	to	to	ADP
ajst-18568	32	26	significant	significant	ADJ
ajst-18568	32	27	prediction	prediction	NOUN
ajst-18568	32	28	errors	error	NOUN
ajst-18568	32	29	.	.	PUNCT
ajst-18568	33	1	furthermore	furthermore	ADV
ajst-18568	33	2	,	,	PUNCT
ajst-18568	33	3	lithium	lithium	NOUN
ajst-18568	33	4	-	-	PUNCT
ajst-18568	33	5	ion	ion	NOUN
ajst-18568	33	6	batteries	battery	NOUN
ajst-18568	33	7	often	often	ADV
ajst-18568	33	8	exhibit	exhibit	VERB
ajst-18568	33	9	capacity	capacity	NOUN
ajst-18568	33	10	rebound	rebound	NOUN
ajst-18568	33	11	during	during	ADP
ajst-18568	33	12	the	the	DET
ajst-18568	33	13	degradation	degradation	NOUN
ajst-18568	33	14	process	process	NOUN
ajst-18568	33	15	[	[	X
ajst-18568	33	16	12	12	NUM
ajst-18568	33	17	]	]	PUNCT
ajst-18568	33	18	,	,	PUNCT
ajst-18568	33	19	and	and	CCONJ
ajst-18568	33	20	factors	factor	NOUN
ajst-18568	33	21	such	such	ADJ
ajst-18568	33	22	as	as	ADP
ajst-18568	33	23	electromagnetic	electromagnetic	ADJ
ajst-18568	33	24	interference	interference	NOUN
ajst-18568	33	25	and	and	CCONJ
ajst-18568	33	26	differences	difference	NOUN
ajst-18568	33	27	in	in	ADP
ajst-18568	33	28	charge	charge	NOUN
ajst-18568	33	29	-	-	PUNCT
ajst-18568	33	30	discharge	discharge	NOUN
ajst-18568	33	31	rates	rate	NOUN
ajst-18568	33	32	during	during	ADP
ajst-18568	33	33	experiments	experiment	NOUN
ajst-18568	33	34	can	can	AUX
ajst-18568	33	35	introduce	introduce	VERB
ajst-18568	33	36	noise	noise	NOUN
ajst-18568	33	37	into	into	ADP
ajst-18568	33	38	the	the	DET
ajst-18568	33	39	battery	battery	NOUN
ajst-18568	33	40	capacity	capacity	NOUN
ajst-18568	33	41	data	datum	NOUN
ajst-18568	33	42	,	,	PUNCT
ajst-18568	33	43	which	which	PRON
ajst-18568	33	44	greatly	greatly	ADV
ajst-18568	33	45	interferes	interfere	VERB
ajst-18568	33	46	with	with	ADP
ajst-18568	33	47	the	the	DET
ajst-18568	33	48	establishment	establishment	NOUN
ajst-18568	33	49	of	of	ADP
ajst-18568	33	50	data	datum	NOUN
ajst-18568	33	51	prediction	prediction	NOUN
ajst-18568	33	52	models	model	NOUN
ajst-18568	33	53	.	.	PUNCT
ajst-18568	34	1	therefore	therefore	ADV
ajst-18568	34	2	,	,	PUNCT
ajst-18568	34	3	denoising	denoising	NOUN
ajst-18568	34	4	of	of	ADP
ajst-18568	34	5	battery	battery	NOUN
ajst-18568	34	6	capacity	capacity	NOUN
ajst-18568	34	7	data	datum	NOUN
ajst-18568	34	8	is	be	AUX
ajst-18568	34	9	necessary	necessary	ADJ
ajst-18568	34	10	.	.	PUNCT
ajst-18568	35	1	qiao	qiao	PROPN
ajst-18568	35	2	jianshu	jianshu	PROPN
ajst-18568	35	3	et	et	PROPN
ajst-18568	35	4	al	al	PROPN
ajst-18568	35	5	.	.	PUNCT
ajst-18568	36	1	[	[	X
ajst-18568	36	2	13	13	NUM
ajst-18568	36	3	]	]	PUNCT
ajst-18568	36	4	used	use	VERB
ajst-18568	36	5	an	an	DET
ajst-18568	36	6	adaptive	adaptive	ADJ
ajst-18568	36	7	bi	bi	ADJ
ajst-18568	36	8	-	-	ADJ
ajst-18568	36	9	exponential	exponential	ADJ
ajst-18568	36	10	model	model	NOUN
ajst-18568	36	11	smooth	smooth	ADJ
ajst-18568	36	12	(	(	PUNCT
ajst-18568	36	13	abms	abms	VERB
ajst-18568	36	14	)	)	PUNCT
ajst-18568	36	15	and	and	CCONJ
ajst-18568	36	16	complete	complete	VERB
ajst-18568	36	17	ensemble	ensemble	ADJ
ajst-18568	36	18	empirical	empirical	ADJ
ajst-18568	36	19	mode	mode	NOUN
ajst-18568	36	20	decomposition	decomposition	NOUN
ajst-18568	36	21	with	with	ADP
ajst-18568	36	22	adaptive	adaptive	ADJ
ajst-18568	36	23	noise	noise	NOUN
ajst-18568	36	24	(	(	PUNCT
ajst-18568	36	25	ceemdan	ceemdan	ADJ
ajst-18568	36	26	)	)	PUNCT
ajst-18568	36	27	algorithm	algorithm	NOUN
ajst-18568	36	28	to	to	ADP
ajst-18568	36	29	denoise	denoise	NOUN
ajst-18568	36	30	battery	battery	NOUN
ajst-18568	36	31	capacity	capacity	NOUN
ajst-18568	36	32	data	datum	NOUN
ajst-18568	36	33	and	and	CCONJ
ajst-18568	36	34	then	then	ADV
ajst-18568	36	35	used	use	VERB
ajst-18568	36	36	an	an	DET
ajst-18568	36	37	lstm	lstm	ADJ
ajst-18568	36	38	network	network	NOUN
ajst-18568	36	39	for	for	ADP
ajst-18568	36	40	capacity	capacity	NOUN
ajst-18568	36	41	prediction	prediction	NOUN
ajst-18568	36	42	.	.	PUNCT
ajst-18568	37	1	compared	compare	VERB
ajst-18568	37	2	to	to	ADP
ajst-18568	37	3	predictions	prediction	NOUN
ajst-18568	37	4	using	use	VERB
ajst-18568	37	5	undenoised	undenoised	ADJ
ajst-18568	37	6	data	datum	NOUN
ajst-18568	37	7	,	,	PUNCT
ajst-18568	37	8	prediction	prediction	NOUN
ajst-18568	37	9	models	model	NOUN
ajst-18568	37	10	with	with	ADP
ajst-18568	37	11	data	datum	NOUN
ajst-18568	37	12	preprocessing	preprocessing	NOUN
ajst-18568	37	13	demonstrated	demonstrate	VERB
ajst-18568	37	14	higher	high	ADJ
ajst-18568	37	15	accuracy	accuracy	NOUN
ajst-18568	37	16	.	.	PUNCT
ajst-18568	38	1	wang	wang	PROPN
ajst-18568	38	2	zhuqing	zhuqe	VERB
ajst-18568	38	3	et	et	PROPN
ajst-18568	38	4	al	al	PROPN
ajst-18568	38	5	.	.	PUNCT
ajst-18568	39	1	[	[	X
ajst-18568	39	2	14	14	NUM
ajst-18568	39	3	]	]	X
ajst-18568	39	4	used	use	VERB
ajst-18568	39	5	local	local	ADJ
ajst-18568	39	6	tangent	tangent	NOUN
ajst-18568	39	7	space	space	NOUN
ajst-18568	39	8	alignment	alignment	NOUN
ajst-18568	39	9	(	(	PUNCT
ajst-18568	39	10	ltsa	ltsa	NOUN
ajst-18568	39	11	)	)	PUNCT
ajst-18568	39	12	to	to	PART
ajst-18568	39	13	extract	extract	VERB
ajst-18568	39	14	features	feature	NOUN
ajst-18568	39	15	from	from	ADP
ajst-18568	39	16	battery	battery	NOUN
ajst-18568	39	17	capacity	capacity	NOUN
ajst-18568	39	18	data	datum	NOUN
ajst-18568	39	19	,	,	PUNCT
ajst-18568	39	20	reduce	reduce	VERB
ajst-18568	39	21	fluctuating	fluctuate	VERB
ajst-18568	39	22	data	datum	NOUN
ajst-18568	39	23	in	in	ADP
ajst-18568	39	24	degradation	degradation	NOUN
ajst-18568	39	25	,	,	PUNCT
ajst-18568	39	26	and	and	CCONJ
ajst-18568	39	27	employed	employ	VERB
ajst-18568	39	28	an	an	DET
ajst-18568	39	29	adaptive	adaptive	ADJ
ajst-18568	39	30	sliding	slide	VERB
ajst-18568	39	31	window	window	NOUN
ajst-18568	39	32	lstm	lstm	NOUN
ajst-18568	39	33	model	model	NOUN
ajst-18568	39	34	for	for	ADP
ajst-18568	39	35	life	life	NOUN
ajst-18568	39	36	prediction	prediction	NOUN
ajst-18568	39	37	.	.	PUNCT
ajst-18568	40	1	experimental	experimental	ADJ
ajst-18568	40	2	results	result	NOUN
ajst-18568	40	3	showed	show	VERB
ajst-18568	40	4	that	that	SCONJ
ajst-18568	40	5	prediction	prediction	NOUN
ajst-18568	40	6	models	model	NOUN
ajst-18568	40	7	with	with	ADP
ajst-18568	40	8	data	datum	NOUN
ajst-18568	40	9	denoising	denoise	VERB
ajst-18568	40	10	were	be	AUX
ajst-18568	40	11	more	more	ADV
ajst-18568	40	12	accurate	accurate	ADJ
ajst-18568	40	13	in	in	ADP
ajst-18568	40	14	predicting	predict	VERB
ajst-18568	40	15	rul	rul	NOUN
ajst-18568	40	16	.	.	PUNCT
ajst-18568	41	1	(	(	PUNCT
ajst-18568	41	2	1	1	X
ajst-18568	41	3	)	)	PUNCT
ajst-18568	41	4	although	although	SCONJ
ajst-18568	41	5	most	most	ADJ
ajst-18568	41	6	existing	exist	VERB
ajst-18568	41	7	prediction	prediction	NOUN
ajst-18568	41	8	models	model	NOUN
ajst-18568	41	9	have	have	AUX
ajst-18568	41	10	demonstrated	demonstrate	VERB
ajst-18568	41	11	impressive	impressive	ADJ
ajst-18568	41	12	predictive	predictive	ADJ
ajst-18568	41	13	capabilities	capability	NOUN
ajst-18568	41	14	,	,	PUNCT
ajst-18568	41	15	they	they	PRON
ajst-18568	41	16	generally	generally	ADV
ajst-18568	41	17	suffer	suffer	VERB
ajst-18568	41	18	from	from	ADP
ajst-18568	41	19	three	three	NUM
ajst-18568	41	20	main	main	ADJ
ajst-18568	41	21	issues	issue	NOUN
ajst-18568	41	22	:	:	PUNCT
ajst-18568	41	23	(	(	PUNCT
ajst-18568	41	24	2	2	X
ajst-18568	41	25	)	)	PUNCT
ajst-18568	41	26	model	model	NOUN
ajst-18568	41	27	limitations	limitation	NOUN
ajst-18568	41	28	:	:	PUNCT
ajst-18568	41	29	predicting	predict	VERB
ajst-18568	41	30	the	the	DET
ajst-18568	41	31	life	life	NOUN
ajst-18568	41	32	of	of	ADP
ajst-18568	41	33	lithium	lithium	NOUN
ajst-18568	41	34	-	-	PUNCT
ajst-18568	41	35	ion	ion	NOUN
ajst-18568	41	36	batteries	battery	NOUN
ajst-18568	41	37	using	use	VERB
ajst-18568	41	38	only	only	ADJ
ajst-18568	41	39	local	local	ADJ
ajst-18568	41	40	degradation	degradation	NOUN
ajst-18568	41	41	data	datum	NOUN
ajst-18568	41	42	has	have	VERB
ajst-18568	41	43	certain	certain	ADJ
ajst-18568	41	44	182	182	NUM
ajst-18568	41	45	limitations	limitation	NOUN
ajst-18568	41	46	due	due	ADP
ajst-18568	41	47	to	to	ADP
ajst-18568	41	48	the	the	DET
ajst-18568	41	49	different	different	ADJ
ajst-18568	41	50	degradation	degradation	NOUN
ajst-18568	41	51	rates	rate	NOUN
ajst-18568	41	52	at	at	ADP
ajst-18568	41	53	different	different	ADJ
ajst-18568	41	54	life	life	NOUN
ajst-18568	41	55	stages	stage	NOUN
ajst-18568	41	56	.	.	PUNCT
ajst-18568	42	1	(	(	PUNCT
ajst-18568	42	2	3	3	X
ajst-18568	42	3	)	)	PUNCT
ajst-18568	42	4	denoising	denoise	VERB
ajst-18568	42	5	prediction	prediction	NOUN
ajst-18568	42	6	correlation	correlation	NOUN
ajst-18568	42	7	:	:	PUNCT
ajst-18568	42	8	in	in	ADP
ajst-18568	42	9	many	many	ADJ
ajst-18568	42	10	prediction	prediction	NOUN
ajst-18568	42	11	methods	method	NOUN
ajst-18568	42	12	,	,	PUNCT
ajst-18568	42	13	data	datum	NOUN
ajst-18568	42	14	denoising	denoising	NOUN
ajst-18568	42	15	and	and	CCONJ
ajst-18568	42	16	capacity	capacity	NOUN
ajst-18568	42	17	prediction	prediction	NOUN
ajst-18568	42	18	are	be	AUX
ajst-18568	42	19	often	often	ADV
ajst-18568	42	20	treated	treat	VERB
ajst-18568	42	21	separately	separately	ADV
ajst-18568	42	22	as	as	ADP
ajst-18568	42	23	two	two	NUM
ajst-18568	42	24	independent	independent	ADJ
ajst-18568	42	25	tasks	task	NOUN
ajst-18568	42	26	,	,	PUNCT
ajst-18568	42	27	ignoring	ignore	VERB
ajst-18568	42	28	the	the	DET
ajst-18568	42	29	correlation	correlation	NOUN
ajst-18568	42	30	between	between	ADP
ajst-18568	42	31	them.sparse	them.sparse	NOUN
ajst-18568	42	32	degradation	degradation	NOUN
ajst-18568	42	33	data	datum	NOUN
ajst-18568	42	34	:	:	PUNCT
ajst-18568	42	35	deep	deep	ADJ
ajst-18568	42	36	learning	learning	NOUN
ajst-18568	42	37	-	-	PUNCT
ajst-18568	42	38	based	base	VERB
ajst-18568	42	39	training	training	NOUN
ajst-18568	42	40	methods	method	NOUN
ajst-18568	42	41	require	require	VERB
ajst-18568	42	42	a	a	DET
ajst-18568	42	43	considerable	considerable	ADJ
ajst-18568	42	44	amount	amount	NOUN
ajst-18568	42	45	of	of	ADP
ajst-18568	42	46	data	datum	NOUN
ajst-18568	42	47	as	as	ADP
ajst-18568	42	48	support	support	NOUN
ajst-18568	42	49	.	.	PUNCT
ajst-18568	43	1	however	however	ADV
ajst-18568	43	2	,	,	PUNCT
ajst-18568	43	3	real	real	ADJ
ajst-18568	43	4	-	-	PUNCT
ajst-18568	43	5	world	world	NOUN
ajst-18568	43	6	degradation	degradation	NOUN
ajst-18568	43	7	data	datum	NOUN
ajst-18568	43	8	for	for	ADP
ajst-18568	43	9	batteries	battery	NOUN
ajst-18568	43	10	are	be	AUX
ajst-18568	43	11	limited	limit	VERB
ajst-18568	43	12	,	,	PUNCT
ajst-18568	43	13	which	which	PRON
ajst-18568	43	14	affects	affect	VERB
ajst-18568	43	15	the	the	DET
ajst-18568	43	16	establishment	establishment	NOUN
ajst-18568	43	17	of	of	ADP
ajst-18568	43	18	prediction	prediction	NOUN
ajst-18568	43	19	models	model	NOUN
ajst-18568	43	20	.	.	PUNCT
ajst-18568	44	1	to	to	PART
ajst-18568	44	2	address	address	VERB
ajst-18568	44	3	these	these	DET
ajst-18568	44	4	issues	issue	NOUN
ajst-18568	44	5	,	,	PUNCT
ajst-18568	44	6	this	this	DET
ajst-18568	44	7	study	study	NOUN
ajst-18568	44	8	proposes	propose	VERB
ajst-18568	44	9	a	a	DET
ajst-18568	44	10	novel	novel	ADJ
ajst-18568	44	11	rul	rul	NOUN
ajst-18568	44	12	prediction	prediction	NOUN
ajst-18568	44	13	model	model	NOUN
ajst-18568	44	14	for	for	ADP
ajst-18568	44	15	lithium	lithium	NOUN
ajst-18568	44	16	-	-	PUNCT
ajst-18568	44	17	ion	ion	NOUN
ajst-18568	44	18	batteries	battery	NOUN
ajst-18568	44	19	named	name	VERB
ajst-18568	44	20	tl	tl	PROPN
ajst-18568	44	21	-	-	PUNCT
ajst-18568	44	22	lstmsim	lstmsim	NOUN
ajst-18568	44	23	,	,	PUNCT
ajst-18568	44	24	which	which	PRON
ajst-18568	44	25	integrates	integrate	VERB
ajst-18568	44	26	transfer	transfer	NOUN
ajst-18568	44	27	learning	learning	NOUN
ajst-18568	44	28	(	(	PUNCT
ajst-18568	44	29	tl	tl	PROPN
ajst-18568	44	30	)	)	PUNCT
ajst-18568	44	31	,	,	PUNCT
ajst-18568	44	32	long	long	ADV
ajst-18568	44	33	shortterm	shortterm	PROPN
ajst-18568	44	34	memory	memory	NOUN
ajst-18568	44	35	neural	neural	ADJ
ajst-18568	44	36	networks	network	NOUN
ajst-18568	44	37	(	(	PUNCT
ajst-18568	44	38	lstm	lstm	NOUN
ajst-18568	44	39	)	)	PUNCT
ajst-18568	44	40	,	,	PUNCT
ajst-18568	44	41	and	and	CCONJ
ajst-18568	44	42	the	the	DET
ajst-18568	44	43	source	source	NOUN
ajst-18568	44	44	domain	domain	NOUN
ajst-18568	44	45	battery	battery	NOUN
ajst-18568	44	46	iterations	iteration	NOUN
ajst-18568	44	47	module	module	NOUN
ajst-18568	44	48	(	(	PUNCT
ajst-18568	44	49	sim	sim	NOUN
ajst-18568	44	50	)	)	PUNCT
ajst-18568	44	51	.	.	PUNCT
ajst-18568	45	1	firstly	firstly	ADV
ajst-18568	45	2	,	,	PUNCT
ajst-18568	45	3	through	through	ADP
ajst-18568	45	4	the	the	DET
ajst-18568	45	5	sim	sim	ADJ
ajst-18568	45	6	module	module	NOUN
ajst-18568	45	7	,	,	PUNCT
ajst-18568	45	8	multiple	multiple	ADJ
ajst-18568	45	9	source	source	NOUN
ajst-18568	45	10	domain	domain	NOUN
ajst-18568	45	11	batteries	battery	NOUN
ajst-18568	45	12	with	with	ADP
ajst-18568	45	13	known	know	VERB
ajst-18568	45	14	degradation	degradation	NOUN
ajst-18568	45	15	trends	trend	NOUN
ajst-18568	45	16	are	be	AUX
ajst-18568	45	17	used	use	VERB
ajst-18568	45	18	to	to	PART
ajst-18568	45	19	iteratively	iteratively	ADV
ajst-18568	45	20	train	train	VERB
ajst-18568	45	21	the	the	DET
ajst-18568	45	22	lstm	lstm	PROPN
ajst-18568	45	23	model	model	NOUN
ajst-18568	45	24	,	,	PUNCT
ajst-18568	45	25	enabling	enable	VERB
ajst-18568	45	26	the	the	DET
ajst-18568	45	27	pre	pre	NOUN
ajst-18568	45	28	-	-	NOUN
ajst-18568	45	29	training	training	NOUN
ajst-18568	45	30	of	of	ADP
ajst-18568	45	31	a	a	DET
ajst-18568	45	32	high	high	ADJ
ajst-18568	45	33	-	-	PUNCT
ajst-18568	45	34	precision	precision	NOUN
ajst-18568	45	35	model	model	NOUN
ajst-18568	45	36	on	on	ADP
ajst-18568	45	37	a	a	DET
ajst-18568	45	38	large	large	ADJ
ajst-18568	45	39	-	-	PUNCT
ajst-18568	45	40	scale	scale	NOUN
ajst-18568	45	41	dataset	dataset	NOUN
ajst-18568	45	42	.	.	PUNCT
ajst-18568	46	1	subsequently	subsequently	ADV
ajst-18568	46	2	,	,	PUNCT
ajst-18568	46	3	the	the	DET
ajst-18568	46	4	pre	pre	ADJ
ajst-18568	46	5	-	-	ADJ
ajst-18568	46	6	trained	train	VERB
ajst-18568	46	7	model	model	NOUN
ajst-18568	46	8	is	be	AUX
ajst-18568	46	9	transferred	transfer	VERB
ajst-18568	46	10	to	to	ADP
ajst-18568	46	11	the	the	DET
ajst-18568	46	12	target	target	NOUN
ajst-18568	46	13	domain	domain	NOUN
ajst-18568	46	14	using	use	VERB
ajst-18568	46	15	transfer	transfer	NOUN
ajst-18568	46	16	learning	learn	VERB
ajst-18568	46	17	techniques	technique	NOUN
ajst-18568	46	18	and	and	CCONJ
ajst-18568	46	19	fine	fine	ADV
ajst-18568	46	20	-	-	PUNCT
ajst-18568	46	21	tuned	tune	VERB
ajst-18568	46	22	on	on	ADP
ajst-18568	46	23	the	the	DET
ajst-18568	46	24	target	target	NOUN
ajst-18568	46	25	domain	domain	NOUN
ajst-18568	46	26	training	training	NOUN
ajst-18568	46	27	set	set	VERB
ajst-18568	46	28	to	to	PART
ajst-18568	46	29	adapt	adapt	VERB
ajst-18568	46	30	to	to	ADP
ajst-18568	46	31	the	the	DET
ajst-18568	46	32	characteristics	characteristic	NOUN
ajst-18568	46	33	and	and	CCONJ
ajst-18568	46	34	environment	environment	NOUN
ajst-18568	46	35	of	of	ADP
ajst-18568	46	36	the	the	DET
ajst-18568	46	37	target	target	NOUN
ajst-18568	46	38	domain	domain	NOUN
ajst-18568	46	39	batteries	battery	NOUN
ajst-18568	46	40	.	.	PUNCT
ajst-18568	47	1	through	through	ADP
ajst-18568	47	2	iterative	iterative	NOUN
ajst-18568	47	3	training	training	NOUN
ajst-18568	47	4	of	of	ADP
ajst-18568	47	5	lstm	lstm	NOUN
ajst-18568	47	6	via	via	ADP
ajst-18568	47	7	the	the	DET
ajst-18568	47	8	sim	sim	ADJ
ajst-18568	47	9	module	module	NOUN
ajst-18568	47	10	,	,	PUNCT
ajst-18568	47	11	the	the	DET
ajst-18568	47	12	predictive	predictive	ADJ
ajst-18568	47	13	performance	performance	NOUN
ajst-18568	47	14	of	of	ADP
ajst-18568	47	15	the	the	DET
ajst-18568	47	16	model	model	NOUN
ajst-18568	47	17	after	after	ADP
ajst-18568	47	18	the	the	DET
ajst-18568	47	19	fusion	fusion	NOUN
ajst-18568	47	20	of	of	ADP
ajst-18568	47	21	transfer	transfer	NOUN
ajst-18568	47	22	learning	learning	NOUN
ajst-18568	47	23	and	and	CCONJ
ajst-18568	47	24	lstm	lstm	NOUN
ajst-18568	47	25	is	be	AUX
ajst-18568	47	26	further	far	ADV
ajst-18568	47	27	improved	improve	VERB
ajst-18568	47	28	.	.	PUNCT
ajst-18568	48	1	experimental	experimental	ADJ
ajst-18568	48	2	results	result	NOUN
ajst-18568	48	3	demonstrate	demonstrate	VERB
ajst-18568	48	4	that	that	SCONJ
ajst-18568	48	5	the	the	DET
ajst-18568	48	6	proposed	propose	VERB
ajst-18568	48	7	tllstm	tllstm	NOUN
ajst-18568	48	8	-	-	PUNCT
ajst-18568	48	9	sim	sim	ADJ
ajst-18568	48	10	model	model	NOUN
ajst-18568	48	11	maintains	maintain	VERB
ajst-18568	48	12	high	high	ADJ
ajst-18568	48	13	prediction	prediction	NOUN
ajst-18568	48	14	accuracy	accuracy	NOUN
ajst-18568	48	15	when	when	SCONJ
ajst-18568	48	16	predicting	predict	VERB
ajst-18568	48	17	the	the	DET
ajst-18568	48	18	rul	rul	NOUN
ajst-18568	48	19	of	of	ADP
ajst-18568	48	20	different	different	ADJ
ajst-18568	48	21	types	type	NOUN
ajst-18568	48	22	of	of	ADP
ajst-18568	48	23	lithium	lithium	NOUN
ajst-18568	48	24	-	-	PUNCT
ajst-18568	48	25	ion	ion	NOUN
ajst-18568	48	26	batteries	battery	NOUN
ajst-18568	48	27	.	.	PUNCT
ajst-18568	49	1	2	2	X
ajst-18568	49	2	.	.	X
ajst-18568	49	3	lstm	lstm	NOUN
ajst-18568	49	4	and	and	CCONJ
ajst-18568	49	5	transfer	transfer	VERB
ajst-18568	49	6	learning	learning	NOUN
ajst-18568	49	7	theory	theory	NOUN
ajst-18568	49	8	2.1	2.1	NUM
ajst-18568	49	9	.	.	PUNCT
ajst-18568	50	1	lstm	lstm	NOUN
ajst-18568	50	2	since	since	SCONJ
ajst-18568	50	3	the	the	DET
ajst-18568	50	4	data	datum	NOUN
ajst-18568	50	5	collected	collect	VERB
ajst-18568	50	6	from	from	ADP
ajst-18568	50	7	lithium	lithium	NOUN
ajst-18568	50	8	-	-	PUNCT
ajst-18568	50	9	ion	ion	NOUN
ajst-18568	50	10	batteries	battery	NOUN
ajst-18568	50	11	is	be	AUX
ajst-18568	50	12	acquired	acquire	VERB
ajst-18568	50	13	during	during	ADP
ajst-18568	50	14	charging	charge	VERB
ajst-18568	50	15	and	and	CCONJ
ajst-18568	50	16	discharging	discharge	VERB
ajst-18568	50	17	cycles	cycle	NOUN
ajst-18568	50	18	,	,	PUNCT
ajst-18568	50	19	they	they	PRON
ajst-18568	50	20	belong	belong	VERB
ajst-18568	50	21	to	to	ADP
ajst-18568	50	22	the	the	DET
ajst-18568	50	23	category	category	NOUN
ajst-18568	50	24	of	of	ADP
ajst-18568	50	25	time	time	NOUN
ajst-18568	50	26	-	-	PUNCT
ajst-18568	50	27	series	series	NOUN
ajst-18568	50	28	data	datum	NOUN
ajst-18568	50	29	.	.	PUNCT
ajst-18568	51	1	recurrent	recurrent	ADJ
ajst-18568	51	2	neural	neural	ADJ
ajst-18568	51	3	networks	network	NOUN
ajst-18568	51	4	(	(	PUNCT
ajst-18568	51	5	rnns	rnns	PROPN
ajst-18568	51	6	)	)	PUNCT
ajst-18568	51	7	are	be	AUX
ajst-18568	51	8	well	well	ADV
ajst-18568	51	9	-	-	PUNCT
ajst-18568	51	10	suited	suit	VERB
ajst-18568	51	11	for	for	ADP
ajst-18568	51	12	handling	handle	VERB
ajst-18568	51	13	time	time	NOUN
ajst-18568	51	14	-	-	PUNCT
ajst-18568	51	15	series	series	NOUN
ajst-18568	51	16	data	datum	NOUN
ajst-18568	51	17	and	and	CCONJ
ajst-18568	51	18	processing	process	VERB
ajst-18568	51	19	sequential	sequential	ADJ
ajst-18568	51	20	information	information	NOUN
ajst-18568	51	21	in	in	ADP
ajst-18568	51	22	an	an	DET
ajst-18568	51	23	ordered	order	VERB
ajst-18568	51	24	manner	manner	NOUN
ajst-18568	51	25	.	.	PUNCT
ajst-18568	52	1	in	in	ADP
ajst-18568	52	2	order	order	NOUN
ajst-18568	52	3	to	to	PART
ajst-18568	52	4	address	address	VERB
ajst-18568	52	5	the	the	DET
ajst-18568	52	6	issue	issue	NOUN
ajst-18568	52	7	of	of	ADP
ajst-18568	52	8	vanishing	vanish	VERB
ajst-18568	52	9	or	or	CCONJ
ajst-18568	52	10	exploding	explode	VERB
ajst-18568	52	11	gradients	gradient	NOUN
ajst-18568	52	12	in	in	ADP
ajst-18568	52	13	rnns	rnn	NOUN
ajst-18568	52	14	,	,	PUNCT
ajst-18568	52	15	the	the	DET
ajst-18568	52	16	lstm	lstm	PROPN
ajst-18568	52	17	network	network	NOUN
ajst-18568	52	18	structure	structure	NOUN
ajst-18568	52	19	was	be	AUX
ajst-18568	52	20	proposed	propose	VERB
ajst-18568	52	21	,	,	PUNCT
ajst-18568	52	22	which	which	PRON
ajst-18568	52	23	replaces	replace	VERB
ajst-18568	52	24	the	the	DET
ajst-18568	52	25	classical	classical	ADJ
ajst-18568	52	26	rnn	rnn	NOUN
ajst-18568	52	27	's	's	PART
ajst-18568	52	28	state	state	NOUN
ajst-18568	52	29	units	unit	NOUN
ajst-18568	52	30	with	with	ADP
ajst-18568	52	31	lstm	lstm	ADJ
ajst-18568	52	32	recurrent	recurrent	ADJ
ajst-18568	52	33	units	unit	NOUN
ajst-18568	52	34	.	.	PUNCT
ajst-18568	53	1	a	a	DET
ajst-18568	53	2	special	special	ADJ
ajst-18568	53	3	type	type	NOUN
ajst-18568	53	4	of	of	ADP
ajst-18568	53	5	rnn	rnn	NOUN
ajst-18568	53	6	model	model	NOUN
ajst-18568	53	7	is	be	AUX
ajst-18568	53	8	the	the	DET
ajst-18568	53	9	lstm	lstm	NOUN
ajst-18568	53	10	(	(	PUNCT
ajst-18568	53	11	long	long	ADJ
ajst-18568	53	12	shortterm	shortterm	PROPN
ajst-18568	53	13	memory	memory	NOUN
ajst-18568	53	14	)	)	PUNCT
ajst-18568	53	15	.	.	PUNCT
ajst-18568	54	1	compared	compare	VERB
ajst-18568	54	2	to	to	ADP
ajst-18568	54	3	traditional	traditional	ADJ
ajst-18568	54	4	rnns	rnn	NOUN
ajst-18568	54	5	,	,	PUNCT
ajst-18568	54	6	lstm	lstm	NOUN
ajst-18568	54	7	can	can	AUX
ajst-18568	54	8	better	well	ADV
ajst-18568	54	9	handle	handle	VERB
ajst-18568	54	10	long	long	ADJ
ajst-18568	54	11	-	-	PUNCT
ajst-18568	54	12	term	term	NOUN
ajst-18568	54	13	dependencies	dependency	NOUN
ajst-18568	54	14	in	in	ADP
ajst-18568	54	15	sequential	sequential	ADJ
ajst-18568	54	16	data	datum	NOUN
ajst-18568	54	17	.	.	PUNCT
ajst-18568	55	1	lstm	lstm	NOUN
ajst-18568	55	2	consists	consist	VERB
ajst-18568	55	3	of	of	ADP
ajst-18568	55	4	three	three	NUM
ajst-18568	55	5	gate	gate	NOUN
ajst-18568	55	6	controllers	controller	NOUN
ajst-18568	55	7	:	:	PUNCT
ajst-18568	55	8	the	the	DET
ajst-18568	55	9	forget	forget	NOUN
ajst-18568	55	10	gate	gate	PROPN
ajst-18568	55	11	,	,	PUNCT
ajst-18568	55	12	the	the	DET
ajst-18568	55	13	input	input	NOUN
ajst-18568	55	14	gate	gate	NOUN
ajst-18568	55	15	,	,	PUNCT
ajst-18568	55	16	and	and	CCONJ
ajst-18568	55	17	the	the	DET
ajst-18568	55	18	output	output	NOUN
ajst-18568	55	19	gate	gate	NOUN
ajst-18568	55	20	.	.	PUNCT
ajst-18568	56	1	figures	figure	NOUN
ajst-18568	56	2	1	1	NUM
ajst-18568	56	3	-	-	SYM
ajst-18568	56	4	1	1	NUM
ajst-18568	56	5	and	and	CCONJ
ajst-18568	56	6	1	1	NUM
ajst-18568	56	7	-	-	SYM
ajst-18568	56	8	2	2	NUM
ajst-18568	56	9	illustrate	illustrate	VERB
ajst-18568	56	10	the	the	DET
ajst-18568	56	11	architecture	architecture	NOUN
ajst-18568	56	12	of	of	ADP
ajst-18568	56	13	an	an	DET
ajst-18568	56	14	lstm	lstm	ADJ
ajst-18568	56	15	unit	unit	NOUN
ajst-18568	56	16	.	.	PUNCT
ajst-18568	57	1	a	a	DET
ajst-18568	57	2	a	a	DET
ajst-18568	57	3	a	a	DET
ajst-18568	57	4	a	a	DET
ajst-18568	57	5	a	a	DET
ajst-18568	57	6	y0	y0	NOUN
ajst-18568	57	7	...	...	PUNCT
ajst-18568	57	8	...	...	PUNCT
ajst-18568	58	1	=	=	PUNCT
ajst-18568	58	2	yt	yt	NOUN
ajst-18568	58	3	y1	y1	NOUN
ajst-18568	59	1	y2	y2	NOUN
ajst-18568	59	2	yt	yt	PROPN
ajst-18568	59	3	ht	ht	PROPN
ajst-18568	59	4	h0	h0	PROPN
ajst-18568	59	5	h1	h1	PROPN
ajst-18568	59	6	h2	h2	PROPN
ajst-18568	59	7	ht	ht	PRON
ajst-18568	59	8	figure	figure	NOUN
ajst-18568	59	9	1	1	NUM
ajst-18568	59	10	.	.	PUNCT
ajst-18568	60	1	structure	structure	NOUN
ajst-18568	60	2	of	of	ADP
ajst-18568	60	3	the	the	DET
ajst-18568	60	4	recurrent	recurrent	ADJ
ajst-18568	60	5	neural	neural	ADJ
ajst-18568	60	6	network	network	NOUN
ajst-18568	60	7	with	with	ADP
ajst-18568	60	8	chain	chain	NOUN
ajst-18568	60	9	-	-	PUNCT
ajst-18568	60	10	like	like	ADJ
ajst-18568	60	11	features	feature	VERB
ajst-18568	60	12	a	a	PRON
ajst-18568	60	13	yt‐1	yt‐1	NOUN
ajst-18568	61	1	ht‐1	ht‐1	INTJ
ajst-18568	61	2	yt	yt	VERB
ajst-18568	61	3	yt+1	yt+1	NUM
ajst-18568	61	4	ht	ht	PROPN
ajst-18568	61	5	ht+1	ht+1	PROPN
ajst-18568	61	6	σ	σ	PROPN
ajst-18568	61	7	   	   	SPACE
ajst-18568	61	8	σ	σ	PROPN
ajst-18568	61	9	  	  	SPACE
ajst-18568	61	10	tanh	tanh	PROPN
ajst-18568	61	11	σ	σ	PROPN
ajst-18568	61	12	  	  	SPACE
ajst-18568	61	13	tanh	tanh	PROPN
ajst-18568	61	14	+	+	CCONJ
ajst-18568	61	15	×a	×a	X
ajst-18568	61	16	×	×	PROPN
ajst-18568	61	17	×	×	NOUN
ajst-18568	61	18	ct‐1	ct‐1	NOUN
ajst-18568	61	19	ct	ct	PROPN
ajst-18568	61	20	cell	cell	NOUN
ajst-18568	61	21	 	 	SPACE
ajst-18568	61	22	state	state	NOUN
ajst-18568	61	23	output	output	NOUN
ajst-18568	61	24	 	 	SPACE
ajst-18568	61	25	gate	gate	PROPN
ajst-18568	61	26	input	input	NOUN
ajst-18568	61	27	 	 	SPACE
ajst-18568	61	28	gateforget	gateforget	NOUN
ajst-18568	61	29	 	 	SPACE
ajst-18568	61	30	gate	gate	NOUN
ajst-18568	62	1	ht‐1	ht‐1	PROPN
ajst-18568	62	2	ht	ht	PROPN
ajst-18568	62	3	figure	figure	NOUN
ajst-18568	62	4	2	2	NUM
ajst-18568	62	5	.	.	PUNCT
ajst-18568	63	1	the	the	DET
ajst-18568	63	2	lstm	lstm	PROPN
ajst-18568	63	3	neural	neural	ADJ
ajst-18568	63	4	network	network	NOUN
ajst-18568	63	5	structure	structure	NOUN
ajst-18568	63	6	figure	figure	NOUN
ajst-18568	63	7	3	3	NUM
ajst-18568	63	8	.	.	PUNCT
ajst-18568	63	9	local	local	ADJ
ajst-18568	63	10	amplification	amplification	NOUN
ajst-18568	63	11	plot	plot	NOUN
ajst-18568	63	12	of	of	ADP
ajst-18568	63	13	the	the	DET
ajst-18568	63	14	lstm	lstm	PROPN
ajst-18568	63	15	neural	neural	ADJ
ajst-18568	63	16	network	network	NOUN
ajst-18568	63	17	183	183	NUM
ajst-18568	63	18	the	the	DET
ajst-18568	63	19	main	main	ADJ
ajst-18568	63	20	function	function	NOUN
ajst-18568	63	21	of	of	ADP
ajst-18568	63	22	the	the	DET
ajst-18568	63	23	forget	forget	NOUN
ajst-18568	63	24	gate	gate	NOUN
ajst-18568	63	25	is	be	AUX
ajst-18568	63	26	to	to	PART
ajst-18568	63	27	retain	retain	VERB
ajst-18568	63	28	information	information	NOUN
ajst-18568	63	29	about	about	ADP
ajst-18568	63	30	when	when	SCONJ
ajst-18568	63	31	to	to	PART
ajst-18568	63	32	forget	forget	VERB
ajst-18568	63	33	a	a	DET
ajst-18568	63	34	unit	unit	NOUN
ajst-18568	63	35	value	value	NOUN
ajst-18568	63	36	,	,	PUNCT
ajst-18568	63	37	as	as	SCONJ
ajst-18568	63	38	given	give	VERB
ajst-18568	63	39	by	by	ADP
ajst-18568	63	40	the	the	DET
ajst-18568	63	41	following	follow	VERB
ajst-18568	63	42	equation	equation	NOUN
ajst-18568	63	43	:	:	PUNCT
ajst-18568	63	44	𝑓	𝑓	PROPN
ajst-18568	63	45	𝜎	𝜎	X
ajst-18568	63	46	𝑊	𝑊	PROPN
ajst-18568	63	47	⋅	⋅	PROPN
ajst-18568	63	48	𝑦	𝑦	NOUN
ajst-18568	63	49	,	,	PUNCT
ajst-18568	63	50	ℎ	ℎ	PART
ajst-18568	63	51	𝑏	𝑏	PROPN
ajst-18568	63	52	(	(	PUNCT
ajst-18568	63	53	1	1	NUM
ajst-18568	63	54	)	)	PUNCT
ajst-18568	63	55	where	where	SCONJ
ajst-18568	63	56	𝑦	𝑦	NOUN
ajst-18568	63	57	represents	represent	VERB
ajst-18568	63	58	the	the	DET
ajst-18568	63	59	input	input	NOUN
ajst-18568	63	60	value	value	NOUN
ajst-18568	63	61	;	;	PUNCT
ajst-18568	63	62	ℎ	ℎ	PROPN
ajst-18568	63	63	represents	represent	VERB
ajst-18568	63	64	the	the	DET
ajst-18568	63	65	output	output	NOUN
ajst-18568	63	66	value	value	NOUN
ajst-18568	63	67	;	;	PUNCT
ajst-18568	63	68	𝑊	𝑊	PROPN
ajst-18568	63	69	and	and	CCONJ
ajst-18568	63	70	𝑏	𝑏	NOUN
ajst-18568	63	71	respectively	respectively	ADV
ajst-18568	63	72	denote	denote	VERB
ajst-18568	63	73	the	the	DET
ajst-18568	63	74	weight	weight	NOUN
ajst-18568	63	75	and	and	CCONJ
ajst-18568	63	76	bias	bias	NOUN
ajst-18568	63	77	,	,	PUNCT
ajst-18568	63	78	and	and	CCONJ
ajst-18568	63	79	σ	σ	PROPN
ajst-18568	63	80	is	be	AUX
ajst-18568	63	81	the	the	DET
ajst-18568	63	82	activation	activation	NOUN
ajst-18568	63	83	function	function	NOUN
ajst-18568	63	84	.	.	PUNCT
ajst-18568	64	1	the	the	DET
ajst-18568	64	2	input	input	PROPN
ajst-18568	64	3	gate	gate	NOUN
ajst-18568	64	4	stores	store	NOUN
ajst-18568	64	5	these	these	DET
ajst-18568	64	6	values	value	NOUN
ajst-18568	64	7	into	into	ADP
ajst-18568	64	8	a	a	DET
ajst-18568	64	9	memory	memory	NOUN
ajst-18568	64	10	cell	cell	NOUN
ajst-18568	64	11	,	,	PUNCT
ajst-18568	64	12	and	and	CCONJ
ajst-18568	64	13	its	its	PRON
ajst-18568	64	14	operation	operation	NOUN
ajst-18568	64	15	principle	principle	NOUN
ajst-18568	64	16	is	be	AUX
ajst-18568	64	17	as	as	SCONJ
ajst-18568	64	18	follows	follow	VERB
ajst-18568	64	19	:	:	PUNCT
ajst-18568	64	20	𝑖	𝑖	SYM
ajst-18568	64	21	𝜎	𝜎	VERB
ajst-18568	64	22	𝑊	𝑊	VERB
ajst-18568	64	23	⋅	⋅	PROPN
ajst-18568	64	24	𝑦	𝑦	NOUN
ajst-18568	64	25	,	,	PUNCT
ajst-18568	65	1	ℎ	ℎ	PART
ajst-18568	65	2	𝑏	𝑏	PROPN
ajst-18568	65	3	(	(	PUNCT
ajst-18568	65	4	2	2	NUM
ajst-18568	65	5	)	)	PUNCT
ajst-18568	65	6	𝐶	𝐶	PROPN
ajst-18568	65	7	tanh	tanh	PROPN
ajst-18568	65	8	𝑊	𝑊	PROPN
ajst-18568	65	9	⋅	⋅	PROPN
ajst-18568	65	10	𝑦	𝑦	NOUN
ajst-18568	65	11	,	,	PUNCT
ajst-18568	65	12	ℎ	ℎ	PART
ajst-18568	65	13	𝑏	𝑏	PROPN
ajst-18568	65	14	(	(	PUNCT
ajst-18568	65	15	3	3	NUM
ajst-18568	65	16	)	)	PUNCT
ajst-18568	65	17	where	where	SCONJ
ajst-18568	65	18	𝑊	𝑊	PROPN
ajst-18568	65	19	，	，	PROPN
ajst-18568	65	20	𝑊	𝑊	PROPN
ajst-18568	65	21	represents	represent	VERB
ajst-18568	65	22	the	the	DET
ajst-18568	65	23	weight	weight	NOUN
ajst-18568	65	24	;	;	PUNCT
ajst-18568	65	25	tanh	tanh	PROPN
ajst-18568	65	26	represents	represent	VERB
ajst-18568	65	27	the	the	DET
ajst-18568	65	28	activation	activation	NOUN
ajst-18568	65	29	function	function	NOUN
ajst-18568	65	30	,	,	PUNCT
ajst-18568	65	31	which	which	PRON
ajst-18568	65	32	𝐶	𝐶	PROPN
ajst-18568	65	33	is	be	AUX
ajst-18568	65	34	a	a	DET
ajst-18568	65	35	one	one	NUM
ajst-18568	65	36	-	-	PUNCT
ajst-18568	65	37	dimensional	dimensional	ADJ
ajst-18568	65	38	matrix	matrix	NOUN
ajst-18568	65	39	with	with	ADP
ajst-18568	65	40	values	value	NOUN
ajst-18568	65	41	ranging	range	VERB
ajst-18568	65	42	from	from	ADP
ajst-18568	65	43	0	0	NUM
ajst-18568	65	44	to	to	ADP
ajst-18568	65	45	1	1	NUM
ajst-18568	65	46	.	.	PUNCT
ajst-18568	65	47	combining	combine	VERB
ajst-18568	65	48	the	the	DET
ajst-18568	65	49	outputs	output	NOUN
ajst-18568	65	50	of	of	ADP
ajst-18568	65	51	the	the	DET
ajst-18568	65	52	forget	forget	NOUN
ajst-18568	65	53	gate	gate	NOUN
ajst-18568	65	54	and	and	CCONJ
ajst-18568	65	55	the	the	DET
ajst-18568	65	56	input	input	NOUN
ajst-18568	65	57	gate	gate	NOUN
ajst-18568	65	58	,	,	PUNCT
ajst-18568	65	59	the	the	DET
ajst-18568	65	60	updated	update	VERB
ajst-18568	65	61	information	information	NOUN
ajst-18568	65	62	for	for	ADP
ajst-18568	65	63	𝐶	𝐶	PROPN
ajst-18568	65	64	is	be	AUX
ajst-18568	65	65	calculated	calculate	VERB
ajst-18568	65	66	as	as	ADP
ajst-18568	65	67	:	:	PUNCT
ajst-18568	65	68	𝐶	𝐶	PROPN
ajst-18568	65	69	𝑓	𝑓	DET
ajst-18568	65	70	⋅	⋅	PROPN
ajst-18568	65	71	𝐶	𝐶	PROPN
ajst-18568	65	72	𝑖	𝑖	ADP
ajst-18568	65	73	⋅	⋅	PROPN
ajst-18568	65	74	𝐶	𝐶	PROPN
ajst-18568	65	75	(	(	PUNCT
ajst-18568	65	76	4	4	NUM
ajst-18568	65	77	)	)	PUNCT
ajst-18568	65	78	the	the	DET
ajst-18568	65	79	put	put	VERB
ajst-18568	65	80	gate	gate	NOUN
ajst-18568	65	81	controls	control	NOUN
ajst-18568	65	82	reading	reading	NOUN
ajst-18568	65	83	of	of	ADP
ajst-18568	65	84	memory	memory	NOUN
ajst-18568	65	85	cell	cell	NOUN
ajst-18568	65	86	values	value	NOUN
ajst-18568	65	87	:	:	PUNCT
ajst-18568	65	88	𝑜	𝑜	X
ajst-18568	65	89	𝜎	𝜎	VERB
ajst-18568	65	90	𝑊	𝑊	VERB
ajst-18568	65	91	⋅	⋅	PROPN
ajst-18568	65	92	𝑦	𝑦	NOUN
ajst-18568	65	93	,	,	PUNCT
ajst-18568	65	94	ℎ	ℎ	PART
ajst-18568	65	95	𝑏	𝑏	PROPN
ajst-18568	65	96	(	(	PUNCT
ajst-18568	65	97	5	5	NUM
ajst-18568	65	98	)	)	PUNCT
ajst-18568	65	99	where	where	SCONJ
ajst-18568	65	100	𝑊	𝑊	PROPN
ajst-18568	65	101	and	and	CCONJ
ajst-18568	65	102	𝑏	𝑏	NOUN
ajst-18568	65	103	are	be	AUX
ajst-18568	65	104	the	the	DET
ajst-18568	65	105	weight	weight	NOUN
ajst-18568	65	106	and	and	CCONJ
ajst-18568	65	107	bias	bias	NOUN
ajst-18568	65	108	of	of	ADP
ajst-18568	65	109	the	the	DET
ajst-18568	65	110	output	output	NOUN
ajst-18568	65	111	gate	gate	NOUN
ajst-18568	65	112	respectively	respectively	ADV
ajst-18568	65	113	,	,	PUNCT
ajst-18568	65	114	and	and	CCONJ
ajst-18568	65	115	𝑜	𝑜	PRON
ajst-18568	65	116	represents	represent	VERB
ajst-18568	65	117	the	the	DET
ajst-18568	65	118	output	output	NOUN
ajst-18568	65	119	of	of	ADP
ajst-18568	65	120	the	the	DET
ajst-18568	65	121	lstm	lstm	NOUN
ajst-18568	65	122	.	.	PUNCT
ajst-18568	66	1	the	the	DET
ajst-18568	66	2	hidden	hidden	ADJ
ajst-18568	66	3	state	state	NOUN
ajst-18568	66	4	at	at	ADP
ajst-18568	66	5	time	time	NOUN
ajst-18568	66	6	step	step	NOUN
ajst-18568	66	7	t	t	PROPN
ajst-18568	66	8	is	be	AUX
ajst-18568	66	9	updated	update	VERB
ajst-18568	66	10	as	as	SCONJ
ajst-18568	66	11	follows	follow	VERB
ajst-18568	66	12	:	:	PUNCT
ajst-18568	66	13	ℎ	ℎ	PROPN
ajst-18568	66	14	𝑜	𝑜	PROPN
ajst-18568	66	15	⋅	⋅	PROPN
ajst-18568	66	16	tanh	tanh	PROPN
ajst-18568	66	17	𝐶	𝐶	PROPN
ajst-18568	66	18	(	(	PUNCT
ajst-18568	66	19	6	6	NUM
ajst-18568	66	20	)	)	PUNCT
ajst-18568	66	21	the	the	DET
ajst-18568	66	22	internal	internal	ADJ
ajst-18568	66	23	structure	structure	NOUN
ajst-18568	66	24	of	of	ADP
ajst-18568	66	25	the	the	DET
ajst-18568	66	26	lstm	lstm	PROPN
ajst-18568	66	27	network	network	NOUN
ajst-18568	66	28	is	be	AUX
ajst-18568	66	29	illustrated	illustrate	VERB
ajst-18568	66	30	in	in	ADP
ajst-18568	66	31	figures	figure	NOUN
ajst-18568	66	32	3	3	NUM
ajst-18568	66	33	-	-	SYM
ajst-18568	66	34	4	4	NUM
ajst-18568	66	35	.	.	PUNCT
ajst-18568	66	36	compared	compare	VERB
ajst-18568	66	37	to	to	ADP
ajst-18568	66	38	rnn	rnn	PROPN
ajst-18568	66	39	,	,	PUNCT
ajst-18568	66	40	lstm	lstm	ADJ
ajst-18568	66	41	structure	structure	NOUN
ajst-18568	66	42	not	not	PART
ajst-18568	66	43	only	only	ADV
ajst-18568	66	44	includes	include	VERB
ajst-18568	66	45	activation	activation	NOUN
ajst-18568	66	46	functions	function	NOUN
ajst-18568	66	47	but	but	CCONJ
ajst-18568	66	48	also	also	ADV
ajst-18568	66	49	adds	add	VERB
ajst-18568	66	50	sigmoid	sigmoid	NOUN
ajst-18568	66	51	functions	function	NOUN
ajst-18568	66	52	to	to	PART
ajst-18568	66	53	form	form	VERB
ajst-18568	66	54	gating	gate	VERB
ajst-18568	66	55	mechanisms	mechanism	NOUN
ajst-18568	66	56	for	for	ADP
ajst-18568	66	57	controlling	control	VERB
ajst-18568	66	58	information	information	NOUN
ajst-18568	66	59	flow	flow	NOUN
ajst-18568	66	60	paths	path	NOUN
ajst-18568	66	61	and	and	CCONJ
ajst-18568	66	62	updating	update	VERB
ajst-18568	66	63	transmitted	transmit	VERB
ajst-18568	66	64	information	information	NOUN
ajst-18568	66	65	.	.	PUNCT
ajst-18568	67	1	this	this	PRON
ajst-18568	67	2	creates	create	VERB
ajst-18568	67	3	an	an	DET
ajst-18568	67	4	internal	internal	ADJ
ajst-18568	67	5	network	network	NOUN
ajst-18568	67	6	structure	structure	NOUN
ajst-18568	67	7	that	that	PRON
ajst-18568	67	8	filters	filter	VERB
ajst-18568	67	9	information	information	NOUN
ajst-18568	67	10	states	state	NOUN
ajst-18568	67	11	,	,	PUNCT
ajst-18568	67	12	allowing	allow	VERB
ajst-18568	67	13	for	for	ADP
ajst-18568	67	14	selective	selective	ADJ
ajst-18568	67	15	memory	memory	NOUN
ajst-18568	67	16	or	or	CCONJ
ajst-18568	67	17	forgetting	forgetting	NOUN
ajst-18568	67	18	of	of	ADP
ajst-18568	67	19	information	information	NOUN
ajst-18568	67	20	.	.	PUNCT
ajst-18568	68	1	2.2	2.2	NUM
ajst-18568	68	2	.	.	PUNCT
ajst-18568	68	3	transfer	transfer	NOUN
ajst-18568	68	4	learning	learning	NOUN
ajst-18568	68	5	transfer	transfer	NOUN
ajst-18568	68	6	learning	learning	NOUN
ajst-18568	68	7	is	be	AUX
ajst-18568	68	8	a	a	DET
ajst-18568	68	9	machine	machine	NOUN
ajst-18568	68	10	learning	learning	NOUN
ajst-18568	68	11	method	method	NOUN
ajst-18568	68	12	similar	similar	ADJ
ajst-18568	68	13	to	to	ADP
ajst-18568	68	14	knowledge	knowledge	NOUN
ajst-18568	68	15	transfer	transfer	NOUN
ajst-18568	68	16	and	and	CCONJ
ajst-18568	68	17	inductive	inductive	ADJ
ajst-18568	68	18	learning	learning	NOUN
ajst-18568	68	19	,	,	PUNCT
ajst-18568	68	20	which	which	PRON
ajst-18568	68	21	aims	aim	VERB
ajst-18568	68	22	to	to	PART
ajst-18568	68	23	learn	learn	VERB
ajst-18568	68	24	the	the	DET
ajst-18568	68	25	similarity	similarity	NOUN
ajst-18568	68	26	between	between	ADP
ajst-18568	68	27	knowledge	knowledge	NOUN
ajst-18568	68	28	and	and	CCONJ
ajst-18568	68	29	utilize	utilize	VERB
ajst-18568	68	30	existing	exist	VERB
ajst-18568	68	31	knowledge	knowledge	NOUN
ajst-18568	68	32	to	to	PART
ajst-18568	68	33	accomplish	accomplish	VERB
ajst-18568	68	34	new	new	ADJ
ajst-18568	68	35	tasks	task	NOUN
ajst-18568	68	36	.	.	PUNCT
ajst-18568	69	1	its	its	PRON
ajst-18568	69	2	principle	principle	NOUN
ajst-18568	69	3	is	be	AUX
ajst-18568	69	4	based	base	VERB
ajst-18568	69	5	on	on	ADP
ajst-18568	69	6	the	the	DET
ajst-18568	69	7	universality	universality	NOUN
ajst-18568	69	8	of	of	ADP
ajst-18568	69	9	convolutional	convolutional	ADJ
ajst-18568	69	10	neural	neural	ADJ
ajst-18568	69	11	networks	network	NOUN
ajst-18568	69	12	in	in	ADP
ajst-18568	69	13	learning	learn	VERB
ajst-18568	69	14	shallow	shallow	ADJ
ajst-18568	69	15	features	feature	NOUN
ajst-18568	69	16	.	.	PUNCT
ajst-18568	70	1	when	when	SCONJ
ajst-18568	70	2	the	the	DET
ajst-18568	70	3	amount	amount	NOUN
ajst-18568	70	4	of	of	ADP
ajst-18568	70	5	data	datum	NOUN
ajst-18568	70	6	for	for	ADP
ajst-18568	70	7	the	the	DET
ajst-18568	70	8	target	target	NOUN
ajst-18568	70	9	task	task	NOUN
ajst-18568	70	10	is	be	AUX
ajst-18568	70	11	insufficient	insufficient	ADJ
ajst-18568	70	12	,	,	PUNCT
ajst-18568	70	13	transfer	transfer	NOUN
ajst-18568	70	14	learning	learning	NOUN
ajst-18568	70	15	transfers	transfer	NOUN
ajst-18568	70	16	the	the	DET
ajst-18568	70	17	universal	universal	ADJ
ajst-18568	70	18	features	feature	NOUN
ajst-18568	70	19	from	from	ADP
ajst-18568	70	20	a	a	DET
ajst-18568	70	21	pre	pre	ADJ
ajst-18568	70	22	-	-	ADJ
ajst-18568	70	23	trained	train	VERB
ajst-18568	70	24	base	base	NOUN
ajst-18568	70	25	model	model	NOUN
ajst-18568	70	26	to	to	ADP
ajst-18568	70	27	the	the	DET
ajst-18568	70	28	target	target	NOUN
ajst-18568	70	29	task	task	NOUN
ajst-18568	70	30	,	,	PUNCT
ajst-18568	70	31	thereby	thereby	ADV
ajst-18568	70	32	improving	improve	VERB
ajst-18568	70	33	the	the	DET
ajst-18568	70	34	training	training	NOUN
ajst-18568	70	35	effectiveness	effectiveness	NOUN
ajst-18568	70	36	of	of	ADP
ajst-18568	70	37	the	the	DET
ajst-18568	70	38	target	target	NOUN
ajst-18568	70	39	task	task	NOUN
ajst-18568	70	40	.	.	PUNCT
ajst-18568	71	1	the	the	DET
ajst-18568	71	2	domain	domain	NOUN
ajst-18568	71	3	from	from	ADP
ajst-18568	71	4	which	which	PRON
ajst-18568	71	5	features	feature	NOUN
ajst-18568	71	6	are	be	AUX
ajst-18568	71	7	transferred	transfer	VERB
ajst-18568	71	8	is	be	AUX
ajst-18568	71	9	called	call	VERB
ajst-18568	71	10	the	the	DET
ajst-18568	71	11	source	source	NOUN
ajst-18568	71	12	domain	domain	NOUN
ajst-18568	71	13	,	,	PUNCT
ajst-18568	71	14	and	and	CCONJ
ajst-18568	71	15	the	the	DET
ajst-18568	71	16	domain	domain	NOUN
ajst-18568	71	17	to	to	PART
ajst-18568	71	18	which	which	PRON
ajst-18568	71	19	features	feature	NOUN
ajst-18568	71	20	are	be	AUX
ajst-18568	71	21	transferred	transfer	VERB
ajst-18568	71	22	is	be	AUX
ajst-18568	71	23	called	call	VERB
ajst-18568	71	24	the	the	DET
ajst-18568	71	25	target	target	NOUN
ajst-18568	71	26	domain	domain	NOUN
ajst-18568	71	27	.	.	PUNCT
ajst-18568	72	1	transfer	transfer	NOUN
ajst-18568	72	2	learning	learning	NOUN
ajst-18568	72	3	leverages	leverage	NOUN
ajst-18568	72	4	the	the	DET
ajst-18568	72	5	information	information	NOUN
ajst-18568	72	6	learned	learn	VERB
ajst-18568	72	7	from	from	ADP
ajst-18568	72	8	existing	exist	VERB
ajst-18568	72	9	source	source	NOUN
ajst-18568	72	10	domain	domain	NOUN
ajst-18568	72	11	data	datum	NOUN
ajst-18568	72	12	and	and	CCONJ
ajst-18568	72	13	applies	apply	VERB
ajst-18568	72	14	it	it	PRON
ajst-18568	72	15	to	to	ADP
ajst-18568	72	16	similar	similar	ADJ
ajst-18568	72	17	but	but	CCONJ
ajst-18568	72	18	different	different	ADJ
ajst-18568	72	19	target	target	NOUN
ajst-18568	72	20	domains	domain	NOUN
ajst-18568	72	21	,	,	PUNCT
ajst-18568	72	22	thus	thus	ADV
ajst-18568	72	23	avoiding	avoid	VERB
ajst-18568	72	24	training	train	VERB
ajst-18568	72	25	new	new	ADJ
ajst-18568	72	26	tasks	task	NOUN
ajst-18568	72	27	from	from	ADP
ajst-18568	72	28	scratch	scratch	NOUN
ajst-18568	72	29	and	and	CCONJ
ajst-18568	72	30	reducing	reduce	VERB
ajst-18568	72	31	the	the	DET
ajst-18568	72	32	need	need	NOUN
ajst-18568	72	33	for	for	ADP
ajst-18568	72	34	large	large	ADJ
ajst-18568	72	35	amounts	amount	NOUN
ajst-18568	72	36	of	of	ADP
ajst-18568	72	37	training	training	NOUN
ajst-18568	72	38	data	datum	NOUN
ajst-18568	72	39	.	.	PUNCT
ajst-18568	73	1	(	(	PUNCT
ajst-18568	73	2	1	1	X
ajst-18568	73	3	)	)	PUNCT
ajst-18568	73	4	domain	domain	NOUN
ajst-18568	73	5	domain	domain	NOUN
ajst-18568	73	6	d	d	NOUN
ajst-18568	73	7	can	can	AUX
ajst-18568	73	8	be	be	AUX
ajst-18568	73	9	understood	understand	VERB
ajst-18568	73	10	as	as	ADP
ajst-18568	73	11	a	a	DET
ajst-18568	73	12	specific	specific	ADJ
ajst-18568	73	13	field	field	NOUN
ajst-18568	73	14	at	at	ADP
ajst-18568	73	15	a	a	DET
ajst-18568	73	16	certain	certain	ADJ
ajst-18568	73	17	time	time	NOUN
ajst-18568	73	18	.	.	PUNCT
ajst-18568	74	1	for	for	ADP
ajst-18568	74	2	example	example	NOUN
ajst-18568	74	3	,	,	PUNCT
ajst-18568	74	4	book	book	NOUN
ajst-18568	74	5	reviews	review	NOUN
ajst-18568	74	6	and	and	CCONJ
ajst-18568	74	7	tv	tv	NOUN
ajst-18568	74	8	series	series	NOUN
ajst-18568	74	9	reviews	review	NOUN
ajst-18568	74	10	can	can	AUX
ajst-18568	74	11	be	be	AUX
ajst-18568	74	12	regarded	regard	VERB
ajst-18568	74	13	as	as	ADP
ajst-18568	74	14	two	two	NUM
ajst-18568	74	15	different	different	ADJ
ajst-18568	74	16	domains	domain	NOUN
ajst-18568	74	17	.	.	PUNCT
ajst-18568	75	1	domain	domain	NOUN
ajst-18568	75	2	d	d	NOUN
ajst-18568	75	3	consists	consist	VERB
ajst-18568	75	4	of	of	ADP
ajst-18568	75	5	a	a	DET
ajst-18568	75	6	feature	feature	NOUN
ajst-18568	75	7	space	space	NOUN
ajst-18568	75	8	𝑋	𝑋	NOUN
ajst-18568	75	9	and	and	CCONJ
ajst-18568	75	10	an	an	DET
ajst-18568	75	11	edge	edge	NOUN
ajst-18568	75	12	probability	probability	NOUN
ajst-18568	75	13	distribution	distribution	NOUN
ajst-18568	75	14	𝑃	𝑃	NOUN
ajst-18568	75	15	𝑋	𝑋	NOUN
ajst-18568	75	16	.	.	PUNCT
ajst-18568	76	1	in	in	ADP
ajst-18568	76	2	general	general	ADJ
ajst-18568	76	3	,	,	PUNCT
ajst-18568	76	4	if	if	SCONJ
ajst-18568	76	5	two	two	NUM
ajst-18568	76	6	domain	domain	NOUN
ajst-18568	76	7	are	be	AUX
ajst-18568	76	8	different	different	ADJ
ajst-18568	76	9	,	,	PUNCT
ajst-18568	76	10	then	then	ADV
ajst-18568	76	11	they	they	PRON
ajst-18568	76	12	should	should	AUX
ajst-18568	76	13	have	have	VERB
ajst-18568	76	14	different	different	ADJ
ajst-18568	76	15	feature	feature	NOUN
ajst-18568	76	16	spaces	space	NOUN
ajst-18568	76	17	or	or	CCONJ
ajst-18568	76	18	different	different	ADJ
ajst-18568	76	19	edge	edge	NOUN
ajst-18568	76	20	probability	probability	NOUN
ajst-18568	76	21	distributions	distribution	NOUN
ajst-18568	76	22	.	.	PUNCT
ajst-18568	77	1	d	d	X
ajst-18568	77	2	=	=	PRON
ajst-18568	77	3	{	{	PUNCT
ajst-18568	77	4	𝒳	𝒳	PROPN
ajst-18568	77	5	,	,	PUNCT
ajst-18568	77	6	𝑃	𝑃	NOUN
ajst-18568	77	7	𝑋	𝑋	NOUN
ajst-18568	77	8	}	}	PUNCT
ajst-18568	77	9	(	(	PUNCT
ajst-18568	77	10	7	7	X
ajst-18568	77	11	)	)	PUNCT
ajst-18568	77	12	x	x	PUNCT
ajst-18568	77	13	represents	represent	VERB
ajst-18568	77	14	the	the	DET
ajst-18568	77	15	feature	feature	NOUN
ajst-18568	77	16	space	space	NOUN
ajst-18568	77	17	and	and	CCONJ
ajst-18568	77	18	𝑃	𝑃	NOUN
ajst-18568	77	19	𝑋	𝑋	NOUN
ajst-18568	77	20	represents	represent	VERB
ajst-18568	77	21	the	the	DET
ajst-18568	77	22	marginal	marginal	ADJ
ajst-18568	77	23	probability	probability	NOUN
ajst-18568	77	24	distribution	distribution	NOUN
ajst-18568	77	25	,	,	PUNCT
ajst-18568	77	26	where	where	SCONJ
ajst-18568	77	27	x	x	PUNCT
ajst-18568	77	28	x1	x1	PROPN
ajst-18568	77	29	,	,	PUNCT
ajst-18568	77	30	.	.	PUNCT
ajst-18568	77	31	.	.	PUNCT
ajst-18568	78	1	.	.	PUNCT
ajst-18568	79	1	,	,	PUNCT
ajst-18568	79	2	xn	xn	PROPN
ajst-18568	79	3	x.	x.	NOUN
ajst-18568	79	4	(	(	PUNCT
ajst-18568	79	5	2	2	NUM
ajst-18568	79	6	)	)	PUNCT
ajst-18568	79	7	task	task	NOUN
ajst-18568	79	8	the	the	DET
ajst-18568	79	9	task	task	NOUN
ajst-18568	79	10	is	be	AUX
ajst-18568	79	11	what	what	PRON
ajst-18568	79	12	needs	need	VERB
ajst-18568	79	13	to	to	PART
ajst-18568	79	14	be	be	AUX
ajst-18568	79	15	done	do	VERB
ajst-18568	79	16	,	,	PUNCT
ajst-18568	79	17	such	such	ADJ
ajst-18568	79	18	as	as	ADP
ajst-18568	79	19	sentiment	sentiment	NOUN
ajst-18568	79	20	analysis	analysis	NOUN
ajst-18568	79	21	and	and	CCONJ
ajst-18568	79	22	entity	entity	NOUN
ajst-18568	79	23	recognition	recognition	NOUN
ajst-18568	79	24	,	,	PUNCT
ajst-18568	79	25	which	which	PRON
ajst-18568	79	26	are	be	AUX
ajst-18568	79	27	two	two	NUM
ajst-18568	79	28	different	different	ADJ
ajst-18568	79	29	tasks	task	NOUN
ajst-18568	79	30	.	.	PUNCT
ajst-18568	80	1	for	for	ADP
ajst-18568	80	2	a	a	DET
ajst-18568	80	3	specific	specific	ADJ
ajst-18568	80	4	domaind	domaind	NOUN
ajst-18568	80	5	𝒳	𝒳	PROPN
ajst-18568	80	6	,	,	PUNCT
ajst-18568	80	7	𝑃	𝑃	NOUN
ajst-18568	80	8	𝑋	𝑋	NOUN
ajst-18568	80	9	,	,	PUNCT
ajst-18568	80	10	the	the	DET
ajst-18568	80	11	task	task	NOUN
ajst-18568	80	12	consists	consist	VERB
ajst-18568	80	13	of	of	ADP
ajst-18568	80	14	a	a	DET
ajst-18568	80	15	label	label	NOUN
ajst-18568	80	16	𝒴	𝒴	NOUN
ajst-18568	80	17	space	space	NOUN
ajst-18568	80	18	and	and	CCONJ
ajst-18568	80	19	a	a	DET
ajst-18568	80	20	target	target	NOUN
ajst-18568	80	21	prediction	prediction	NOUN
ajst-18568	80	22	function	function	NOUN
ajst-18568	80	23	𝑓	𝑓	DET
ajst-18568	80	24	⋅	⋅	PROPN
ajst-18568	80	25	.	.	PUNCT
ajst-18568	81	1	t	t	PROPN
ajst-18568	81	2	𝒴	𝒴	PROPN
ajst-18568	81	3	,	,	PUNCT
ajst-18568	81	4	𝑓	𝑓	DET
ajst-18568	81	5	⋅	⋅	X
ajst-18568	81	6	(	(	PUNCT
ajst-18568	81	7	8)	8)	NUM
ajst-18568	81	8	where	where	SCONJ
ajst-18568	81	9	𝑓	𝑓	DET
ajst-18568	81	10	⋅	⋅	PROPN
ajst-18568	81	11	is	be	AUX
ajst-18568	81	12	not	not	PART
ajst-18568	81	13	observed	observe	VERB
ajst-18568	81	14	,	,	PUNCT
ajst-18568	81	15	but	but	CCONJ
ajst-18568	81	16	can	can	AUX
ajst-18568	81	17	be	be	AUX
ajst-18568	81	18	learned	learn	VERB
ajst-18568	81	19	from	from	ADP
ajst-18568	81	20	the	the	DET
ajst-18568	81	21	training	training	NOUN
ajst-18568	81	22	data	datum	NOUN
ajst-18568	81	23	containing	contain	VERB
ajst-18568	81	24	the	the	DET
ajst-18568	81	25	data	datum	NOUN
ajst-18568	81	26	𝑥	𝑥	PROPN
ajst-18568	81	27	,	,	PUNCT
ajst-18568	81	28	𝑦	𝑦	NOUN
ajst-18568	81	29	,	,	PUNCT
ajst-18568	81	30	where	where	SCONJ
ajst-18568	81	31	𝑥	𝑥	DET
ajst-18568	81	32	∈	∈	PROPN
ajst-18568	81	33	𝑋	𝑋	NOUN
ajst-18568	81	34	and	and	CCONJ
ajst-18568	81	35	𝑦	𝑦	NOUN
ajst-18568	81	36	∈	∈	PROPN
ajst-18568	81	37	𝒴	𝒴	PROPN
ajst-18568	81	38	.	.	PUNCT
ajst-18568	82	1	from	from	ADP
ajst-18568	82	2	a	a	DET
ajst-18568	82	3	probability	probability	NOUN
ajst-18568	82	4	perspective	perspective	NOUN
ajst-18568	82	5	,	,	PUNCT
ajst-18568	82	6	𝑓	𝑓	DET
ajst-18568	82	7	⋅	⋅	PROPN
ajst-18568	82	8	can	can	AUX
ajst-18568	82	9	be	be	AUX
ajst-18568	82	10	written	write	VERB
ajst-18568	82	11	as	as	ADP
ajst-18568	82	12	𝑃	𝑃	NOUN
ajst-18568	82	13	𝑦|𝑥	𝑦|𝑥	NOUN
ajst-18568	82	14	|	|	NOUN
ajst-18568	82	15	.	.	PUNCT
ajst-18568	83	1	in	in	ADP
ajst-18568	83	2	essence	essence	NOUN
ajst-18568	83	3	,	,	PUNCT
ajst-18568	83	4	task	task	PROPN
ajst-18568	83	5	t	t	PROPN
ajst-18568	83	6	depends	depend	VERB
ajst-18568	83	7	on	on	ADP
ajst-18568	83	8	domain	domain	NOUN
ajst-18568	83	9	d	d	NOUN
ajst-18568	83	10	,	,	PUNCT
ajst-18568	83	11	meaning	mean	VERB
ajst-18568	83	12	that	that	SCONJ
ajst-18568	83	13	if	if	SCONJ
ajst-18568	83	14	two	two	NUM
ajst-18568	83	15	tasks	task	NOUN
ajst-18568	83	16	are	be	AUX
ajst-18568	83	17	different	different	ADJ
ajst-18568	83	18	,	,	PUNCT
ajst-18568	83	19	it	it	PRON
ajst-18568	83	20	could	could	AUX
ajst-18568	83	21	be	be	AUX
ajst-18568	83	22	because	because	SCONJ
ajst-18568	83	23	the	the	DET
ajst-18568	83	24	domains	domain	NOUN
ajst-18568	83	25	are	be	AUX
ajst-18568	83	26	different	different	ADJ
ajst-18568	83	27	or	or	CCONJ
ajst-18568	83	28	because	because	SCONJ
ajst-18568	83	29	the	the	DET
ajst-18568	83	30	tasks	task	NOUN
ajst-18568	83	31	on	on	ADP
ajst-18568	83	32	the	the	DET
ajst-18568	83	33	same	same	ADJ
ajst-18568	83	34	domain	domain	NOUN
ajst-18568	83	35	are	be	AUX
ajst-18568	83	36	different	different	ADJ
ajst-18568	83	37	,	,	PUNCT
ajst-18568	83	38	i.e.	i.e.	X
ajst-18568	83	39	,	,	PUNCT
ajst-18568	83	40	either	either	CCONJ
ajst-18568	83	41	𝒴	𝒴	PROPN
ajst-18568	83	42	different	different	ADJ
ajst-18568	83	43	𝑓	𝑓	DET
ajst-18568	83	44	⋅	⋅	ADJ
ajst-18568	83	45	or	or	CCONJ
ajst-18568	83	46	different	different	ADJ
ajst-18568	83	47	.	.	PUNCT
ajst-18568	84	1	moreover	moreover	ADV
ajst-18568	84	2	,	,	PUNCT
ajst-18568	84	3	different	different	ADJ
ajst-18568	84	4	domains	domain	NOUN
ajst-18568	84	5	d	d	NOUN
ajst-18568	84	6	could	could	AUX
ajst-18568	84	7	have	have	VERB
ajst-18568	84	8	two	two	NUM
ajst-18568	84	9	possibilities	possibility	NOUN
ajst-18568	84	10	:	:	PUNCT
ajst-18568	84	11	either	either	CCONJ
ajst-18568	84	12	different	different	ADJ
ajst-18568	84	13	feature	feature	NOUN
ajst-18568	84	14	spaces	space	NOUN
ajst-18568	84	15	or	or	CCONJ
ajst-18568	84	16	different	different	ADJ
ajst-18568	84	17	marginal	marginal	ADJ
ajst-18568	84	18	probability	probability	NOUN
ajst-18568	84	19	distributions	distribution	NOUN
ajst-18568	84	20	,	,	PUNCT
ajst-18568	84	21	as	as	SCONJ
ajst-18568	84	22	illustrated	illustrate	VERB
ajst-18568	84	23	in	in	ADP
ajst-18568	84	24	the	the	DET
ajst-18568	84	25	figure	figure	NOUN
ajst-18568	84	26	.	.	PUNCT
ajst-18568	85	1	figure	figure	VERB
ajst-18568	85	2	4	4	NUM
ajst-18568	85	3	.	.	PUNCT
ajst-18568	85	4	schematic	schematic	ADJ
ajst-18568	85	5	diagram	diagram	NOUN
ajst-18568	85	6	of	of	ADP
ajst-18568	85	7	transfer	transfer	NOUN
ajst-18568	85	8	learning	learn	VERB
ajst-18568	85	9	the	the	DET
ajst-18568	85	10	combination	combination	NOUN
ajst-18568	85	11	of	of	ADP
ajst-18568	85	12	the	the	DET
ajst-18568	85	13	two	two	NUM
ajst-18568	85	14	can	can	AUX
ajst-18568	85	15	be	be	AUX
ajst-18568	85	16	defined	define	VERB
ajst-18568	85	17	as	as	ADP
ajst-18568	85	18	:	:	PUNCT
ajst-18568	85	19	given	give	VERB
ajst-18568	85	20	the	the	DET
ajst-18568	85	21	source	source	NOUN
ajst-18568	85	22	domain	domain	NOUN
ajst-18568	85	23	d	d	NOUN
ajst-18568	85	24	and	and	CCONJ
ajst-18568	85	25	learning	learn	VERB
ajst-18568	85	26	task	task	PROPN
ajst-18568	85	27	t	t	PROPN
ajst-18568	85	28	,	,	PUNCT
ajst-18568	85	29	target	target	VERB
ajst-18568	85	30	domain	domain	NOUN
ajst-18568	85	31	d	d	NOUN
ajst-18568	85	32	and	and	CCONJ
ajst-18568	85	33	learning	learn	VERB
ajst-18568	85	34	task	task	PROPN
ajst-18568	85	35	t	t	PROPN
ajst-18568	85	36	,	,	PUNCT
ajst-18568	85	37	the	the	DET
ajst-18568	85	38	purpose	purpose	NOUN
ajst-18568	85	39	of	of	ADP
ajst-18568	85	40	transfer	transfer	NOUN
ajst-18568	85	41	learning	learning	NOUN
ajst-18568	85	42	is	be	AUX
ajst-18568	85	43	to	to	PART
ajst-18568	85	44	obtain	obtain	VERB
ajst-18568	85	45	the	the	DET
ajst-18568	85	46	knowledge	knowledge	NOUN
ajst-18568	85	47	in	in	ADP
ajst-18568	85	48	the	the	DET
ajst-18568	85	49	source	source	NOUN
ajst-18568	85	50	domain	domain	NOUN
ajst-18568	85	51	d	d	NOUN
ajst-18568	85	52	and	and	CCONJ
ajst-18568	85	53	learning	learn	VERB
ajst-18568	85	54	task	task	PROPN
ajst-18568	85	55	t	t	PROPN
ajst-18568	85	56	to	to	PART
ajst-18568	85	57	help	help	VERB
ajst-18568	85	58	improve	improve	VERB
ajst-18568	85	59	the	the	DET
ajst-18568	85	60	learning	learning	NOUN
ajst-18568	85	61	of	of	ADP
ajst-18568	85	62	the	the	DET
ajst-18568	85	63	prediction	prediction	NOUN
ajst-18568	85	64	function	function	VERB
ajst-18568	85	65	𝑓	𝑓	DET
ajst-18568	85	66	⋅	⋅	PROPN
ajst-18568	85	67	in	in	ADP
ajst-18568	85	68	the	the	DET
ajst-18568	85	69	target	target	NOUN
ajst-18568	85	70	domain	domain	NOUN
ajst-18568	85	71	,	,	PUNCT
ajst-18568	85	72	where	where	SCONJ
ajst-18568	85	73	d	d	PROPN
ajst-18568	85	74	d	d	NOUN
ajst-18568	85	75	or	or	CCONJ
ajst-18568	85	76	t	t	PROPN
ajst-18568	85	77	t	t	PROPN
ajst-18568	85	78	.	.	PUNCT
ajst-18568	86	1	2.3	2.3	NUM
ajst-18568	86	2	.	.	PUNCT
ajst-18568	87	1	pre	pre	ADJ
ajst-18568	87	2	-	-	ADJ
ajst-18568	87	3	training	training	ADJ
ajst-18568	87	4	and	and	CCONJ
ajst-18568	87	5	fine	fine	ADV
ajst-18568	87	6	-	-	PUNCT
ajst-18568	87	7	tuning	tuning	NOUN
ajst-18568	87	8	in	in	ADP
ajst-18568	87	9	deep	deep	ADJ
ajst-18568	87	10	learning	learning	NOUN
ajst-18568	87	11	algorithms	algorithm	NOUN
ajst-18568	87	12	,	,	PUNCT
ajst-18568	87	13	the	the	DET
ajst-18568	87	14	accuracy	accuracy	NOUN
ajst-18568	87	15	of	of	ADP
ajst-18568	87	16	prediction	prediction	NOUN
ajst-18568	87	17	models	model	NOUN
ajst-18568	87	18	largely	largely	ADV
ajst-18568	87	19	depends	depend	VERB
ajst-18568	87	20	on	on	ADP
ajst-18568	87	21	the	the	DET
ajst-18568	87	22	effectiveness	effectiveness	NOUN
ajst-18568	87	23	of	of	ADP
ajst-18568	87	24	training	training	NOUN
ajst-18568	87	25	on	on	ADP
ajst-18568	87	26	the	the	DET
ajst-18568	87	27	training	training	NOUN
ajst-18568	87	28	dataset	dataset	NOUN
ajst-18568	87	29	,	,	PUNCT
ajst-18568	87	30	necessitating	necessitate	VERB
ajst-18568	87	31	the	the	DET
ajst-18568	87	32	use	use	NOUN
ajst-18568	87	33	of	of	ADP
ajst-18568	87	34	more	more	ADJ
ajst-18568	87	35	training	training	NOUN
ajst-18568	87	36	dataset	dataset	NOUN
ajst-18568	87	37	data	datum	NOUN
ajst-18568	87	38	during	during	ADP
ajst-18568	87	39	the	the	DET
ajst-18568	87	40	training	training	NOUN
ajst-18568	87	41	phase	phase	NOUN
ajst-18568	87	42	.	.	PUNCT
ajst-18568	88	1	however	however	ADV
ajst-18568	88	2	,	,	PUNCT
ajst-18568	88	3	in	in	ADP
ajst-18568	88	4	practical	practical	ADJ
ajst-18568	88	5	applications	application	NOUN
ajst-18568	88	6	of	of	ADP
ajst-18568	88	7	rul	rul	NOUN
ajst-18568	88	8	prediction	prediction	NOUN
ajst-18568	88	9	for	for	ADP
ajst-18568	88	10	lithium	lithium	NOUN
ajst-18568	88	11	-	-	PUNCT
ajst-18568	88	12	ion	ion	NOUN
ajst-18568	88	13	batteries	battery	NOUN
ajst-18568	88	14	,	,	PUNCT
ajst-18568	88	15	prediction	prediction	NOUN
ajst-18568	88	16	models	model	NOUN
ajst-18568	88	17	need	need	VERB
ajst-18568	88	18	to	to	PART
ajst-18568	88	19	exhibit	exhibit	VERB
ajst-18568	88	20	good	good	ADJ
ajst-18568	88	21	predictive	predictive	ADJ
ajst-18568	88	22	performance	performance	NOUN
ajst-18568	88	23	across	across	ADP
ajst-18568	88	24	different	different	ADJ
ajst-18568	88	25	battery	battery	NOUN
ajst-18568	88	26	degradation	degradation	NOUN
ajst-18568	88	27	stages	stage	NOUN
ajst-18568	88	28	.	.	PUNCT
ajst-18568	89	1	especially	especially	ADV
ajst-18568	89	2	in	in	ADP
ajst-18568	89	3	early	early	ADJ
ajst-18568	89	4	-	-	PUNCT
ajst-18568	89	5	stage	stage	NOUN
ajst-18568	89	6	battery	battery	NOUN
ajst-18568	89	7	prediction	prediction	NOUN
ajst-18568	89	8	,	,	PUNCT
ajst-18568	89	9	where	where	SCONJ
ajst-18568	89	10	the	the	DET
ajst-18568	89	11	184	184	NUM
ajst-18568	89	12	prediction	prediction	NOUN
ajst-18568	89	13	starting	starting	NOUN
ajst-18568	89	14	point	point	NOUN
ajst-18568	89	15	is	be	AUX
ajst-18568	89	16	set	set	VERB
ajst-18568	89	17	in	in	ADP
ajst-18568	89	18	the	the	DET
ajst-18568	89	19	early	early	ADJ
ajst-18568	89	20	degradation	degradation	NOUN
ajst-18568	89	21	stage	stage	NOUN
ajst-18568	89	22	of	of	ADP
ajst-18568	89	23	the	the	DET
ajst-18568	89	24	battery	battery	NOUN
ajst-18568	89	25	,	,	PUNCT
ajst-18568	89	26	the	the	DET
ajst-18568	89	27	reduction	reduction	NOUN
ajst-18568	89	28	in	in	ADP
ajst-18568	89	29	the	the	DET
ajst-18568	89	30	volume	volume	NOUN
ajst-18568	89	31	of	of	ADP
ajst-18568	89	32	training	train	VERB
ajst-18568	89	33	dataset	dataset	NOUN
ajst-18568	89	34	data	datum	NOUN
ajst-18568	89	35	affects	affect	VERB
ajst-18568	89	36	the	the	DET
ajst-18568	89	37	model	model	NOUN
ajst-18568	89	38	's	's	PART
ajst-18568	89	39	predictive	predictive	ADJ
ajst-18568	89	40	accuracy	accuracy	NOUN
ajst-18568	89	41	.	.	PUNCT
ajst-18568	90	1	to	to	PART
ajst-18568	90	2	address	address	VERB
ajst-18568	90	3	the	the	DET
ajst-18568	90	4	above	above	ADJ
ajst-18568	90	5	issues	issue	NOUN
ajst-18568	90	6	,	,	PUNCT
ajst-18568	90	7	transfer	transfer	NOUN
ajst-18568	90	8	learning	learning	NOUN
ajst-18568	90	9	is	be	AUX
ajst-18568	90	10	widely	widely	ADV
ajst-18568	90	11	applied	apply	VERB
ajst-18568	90	12	due	due	ADP
ajst-18568	90	13	to	to	ADP
ajst-18568	90	14	its	its	PRON
ajst-18568	90	15	ability	ability	NOUN
ajst-18568	90	16	to	to	PART
ajst-18568	90	17	share	share	VERB
ajst-18568	90	18	information	information	NOUN
ajst-18568	90	19	between	between	ADP
ajst-18568	90	20	the	the	DET
ajst-18568	90	21	source	source	NOUN
ajst-18568	90	22	domain	domain	NOUN
ajst-18568	90	23	and	and	CCONJ
ajst-18568	90	24	target	target	NOUN
ajst-18568	90	25	domain	domain	NOUN
ajst-18568	90	26	[	[	X
ajst-18568	90	27	14	14	NUM
ajst-18568	90	28	]	]	PUNCT
ajst-18568	90	29	.	.	PUNCT
ajst-18568	91	1	in	in	ADP
ajst-18568	91	2	transfer	transfer	NOUN
ajst-18568	91	3	learning	learning	NOUN
ajst-18568	91	4	,	,	PUNCT
ajst-18568	91	5	the	the	DET
ajst-18568	91	6	source	source	NOUN
ajst-18568	91	7	of	of	ADP
ajst-18568	91	8	transfer	transfer	NOUN
ajst-18568	91	9	information	information	NOUN
ajst-18568	91	10	is	be	AUX
ajst-18568	91	11	referred	refer	VERB
ajst-18568	91	12	to	to	ADP
ajst-18568	91	13	as	as	ADP
ajst-18568	91	14	the	the	DET
ajst-18568	91	15	source	source	NOUN
ajst-18568	91	16	domain	domain	NOUN
ajst-18568	91	17	(	(	PUNCT
ajst-18568	91	18	ds	ds	NOUN
ajst-18568	91	19	)	)	PUNCT
ajst-18568	91	20	,	,	PUNCT
ajst-18568	91	21	and	and	CCONJ
ajst-18568	91	22	the	the	DET
ajst-18568	91	23	destination	destination	NOUN
ajst-18568	91	24	of	of	ADP
ajst-18568	91	25	transfer	transfer	NOUN
ajst-18568	91	26	information	information	NOUN
ajst-18568	91	27	is	be	AUX
ajst-18568	91	28	the	the	DET
ajst-18568	91	29	target	target	NOUN
ajst-18568	91	30	domain	domain	NOUN
ajst-18568	91	31	(	(	PUNCT
ajst-18568	91	32	dt	dt	NOUN
ajst-18568	91	33	)	)	PUNCT
ajst-18568	91	34	.	.	PUNCT
ajst-18568	92	1	the	the	DET
ajst-18568	92	2	purpose	purpose	NOUN
ajst-18568	92	3	is	be	AUX
ajst-18568	92	4	to	to	PART
ajst-18568	92	5	transfer	transfer	VERB
ajst-18568	92	6	features	feature	NOUN
ajst-18568	92	7	from	from	ADP
ajst-18568	92	8	the	the	DET
ajst-18568	92	9	source	source	NOUN
ajst-18568	92	10	domain	domain	NOUN
ajst-18568	92	11	dataset	dataset	VERB
ajst-18568	92	12	to	to	ADP
ajst-18568	92	13	the	the	DET
ajst-18568	92	14	target	target	NOUN
ajst-18568	92	15	domain	domain	NOUN
ajst-18568	92	16	dataset	dataset	VERB
ajst-18568	92	17	by	by	ADP
ajst-18568	92	18	using	use	VERB
ajst-18568	92	19	datasets	dataset	NOUN
ajst-18568	92	20	with	with	ADP
ajst-18568	92	21	similar	similar	ADJ
ajst-18568	92	22	characteristics	characteristic	NOUN
ajst-18568	92	23	,	,	PUNCT
ajst-18568	92	24	thereby	thereby	ADV
ajst-18568	92	25	improving	improve	VERB
ajst-18568	92	26	the	the	DET
ajst-18568	92	27	performance	performance	NOUN
ajst-18568	92	28	of	of	ADP
ajst-18568	92	29	the	the	DET
ajst-18568	92	30	model	model	NOUN
ajst-18568	92	31	when	when	SCONJ
ajst-18568	92	32	predicting	predict	VERB
ajst-18568	92	33	target	target	NOUN
ajst-18568	92	34	domain	domain	NOUN
ajst-18568	92	35	data	datum	NOUN
ajst-18568	92	36	.	.	PUNCT
ajst-18568	93	1	as	as	SCONJ
ajst-18568	93	2	shown	show	VERB
ajst-18568	93	3	in	in	ADP
ajst-18568	93	4	figure	figure	NOUN
ajst-18568	93	5	2	2	NUM
ajst-18568	93	6	,	,	PUNCT
ajst-18568	93	7	the	the	DET
ajst-18568	93	8	pre	pre	ADJ
ajst-18568	93	9	-	-	ADJ
ajst-18568	93	10	training	training	ADJ
ajst-18568	93	11	-	-	PUNCT
ajst-18568	93	12	fine	fine	ADV
ajst-18568	93	13	-	-	PUNCT
ajst-18568	93	14	tuning	tune	VERB
ajst-18568	93	15	transfer	transfer	NOUN
ajst-18568	93	16	learning	learning	NOUN
ajst-18568	93	17	method	method	NOUN
ajst-18568	93	18	first	first	ADV
ajst-18568	93	19	uses	use	VERB
ajst-18568	93	20	all	all	DET
ajst-18568	93	21	data	datum	NOUN
ajst-18568	93	22	in	in	ADP
ajst-18568	93	23	the	the	DET
ajst-18568	93	24	source	source	NOUN
ajst-18568	93	25	domain	domain	NOUN
ajst-18568	93	26	as	as	ADP
ajst-18568	93	27	the	the	DET
ajst-18568	93	28	training	training	NOUN
ajst-18568	93	29	set	set	VERB
ajst-18568	93	30	to	to	AUX
ajst-18568	93	31	pre	pre	VERB
ajst-18568	93	32	-	-	VERB
ajst-18568	93	33	train	train	VERB
ajst-18568	93	34	the	the	DET
ajst-18568	93	35	lstm	lstm	NOUN
ajst-18568	93	36	and	and	CCONJ
ajst-18568	93	37	saves	save	VERB
ajst-18568	93	38	the	the	DET
ajst-18568	93	39	pre	pre	ADJ
ajst-18568	93	40	-	-	ADJ
ajst-18568	93	41	trained	train	VERB
ajst-18568	93	42	model	model	NOUN
ajst-18568	93	43	.	.	PUNCT
ajst-18568	94	1	then	then	ADV
ajst-18568	94	2	,	,	PUNCT
ajst-18568	94	3	by	by	ADP
ajst-18568	94	4	copying	copy	VERB
ajst-18568	94	5	the	the	DET
ajst-18568	94	6	information	information	NOUN
ajst-18568	94	7	of	of	ADP
ajst-18568	94	8	the	the	DET
ajst-18568	94	9	first	first	ADJ
ajst-18568	94	10	n-1	n-1	ADJ
ajst-18568	94	11	layers	layer	NOUN
ajst-18568	94	12	of	of	ADP
ajst-18568	94	13	the	the	DET
ajst-18568	94	14	pre	pre	ADJ
ajst-18568	94	15	-	-	ADJ
ajst-18568	94	16	trained	train	VERB
ajst-18568	94	17	model	model	NOUN
ajst-18568	94	18	,	,	PUNCT
ajst-18568	94	19	it	it	PRON
ajst-18568	94	20	is	be	AUX
ajst-18568	94	21	transferred	transfer	VERB
ajst-18568	94	22	to	to	ADP
ajst-18568	94	23	the	the	DET
ajst-18568	94	24	target	target	NOUN
ajst-18568	94	25	domain	domain	NOUN
ajst-18568	94	26	,	,	PUNCT
ajst-18568	94	27	and	and	CCONJ
ajst-18568	94	28	fine	fine	ADV
ajst-18568	94	29	-	-	PUNCT
ajst-18568	94	30	tuning	tuning	NOUN
ajst-18568	94	31	of	of	ADP
ajst-18568	94	32	the	the	DET
ajst-18568	94	33	pre	pre	ADJ
ajst-18568	94	34	-	-	ADJ
ajst-18568	94	35	trained	train	VERB
ajst-18568	94	36	model	model	NOUN
ajst-18568	94	37	is	be	AUX
ajst-18568	94	38	performed	perform	VERB
ajst-18568	94	39	using	use	VERB
ajst-18568	94	40	the	the	DET
ajst-18568	94	41	training	training	NOUN
ajst-18568	94	42	set	set	NOUN
ajst-18568	94	43	of	of	ADP
ajst-18568	94	44	the	the	DET
ajst-18568	94	45	target	target	NOUN
ajst-18568	94	46	domain	domain	NOUN
ajst-18568	94	47	data	datum	NOUN
ajst-18568	94	48	.	.	PUNCT
ajst-18568	95	1	finally	finally	ADV
ajst-18568	95	2	,	,	PUNCT
ajst-18568	95	3	the	the	DET
ajst-18568	95	4	pre	pre	ADJ
ajst-18568	95	5	-	-	ADJ
ajst-18568	95	6	trained	train	VERB
ajst-18568	95	7	-	-	PUNCT
ajst-18568	95	8	fine	fine	ADV
ajst-18568	95	9	-	-	PUNCT
ajst-18568	95	10	tuned	tune	VERB
ajst-18568	95	11	lstm	lstm	ADJ
ajst-18568	95	12	model	model	NOUN
ajst-18568	95	13	is	be	AUX
ajst-18568	95	14	used	use	VERB
ajst-18568	95	15	as	as	ADP
ajst-18568	95	16	the	the	DET
ajst-18568	95	17	prediction	prediction	NOUN
ajst-18568	95	18	model	model	NOUN
ajst-18568	95	19	for	for	ADP
ajst-18568	95	20	the	the	DET
ajst-18568	95	21	target	target	NOUN
ajst-18568	95	22	domain	domain	NOUN
ajst-18568	95	23	data	datum	NOUN
ajst-18568	95	24	prediction	prediction	NOUN
ajst-18568	95	25	.	.	PUNCT
ajst-18568	96	1	during	during	ADP
ajst-18568	96	2	the	the	DET
ajst-18568	96	3	capacity	capacity	NOUN
ajst-18568	96	4	degradation	degradation	NOUN
ajst-18568	96	5	process	process	NOUN
ajst-18568	96	6	of	of	ADP
ajst-18568	96	7	different	different	ADJ
ajst-18568	96	8	lithium	lithium	NOUN
ajst-18568	96	9	-	-	PUNCT
ajst-18568	96	10	ion	ion	NOUN
ajst-18568	96	11	batteries	battery	NOUN
ajst-18568	96	12	,	,	PUNCT
ajst-18568	96	13	there	there	PRON
ajst-18568	96	14	are	be	VERB
ajst-18568	96	15	both	both	PRON
ajst-18568	96	16	common	common	ADJ
ajst-18568	96	17	degradation	degradation	NOUN
ajst-18568	96	18	trends	trend	NOUN
ajst-18568	96	19	of	of	ADP
ajst-18568	96	20	overall	overall	ADJ
ajst-18568	96	21	capacity	capacity	NOUN
ajst-18568	96	22	decline	decline	NOUN
ajst-18568	96	23	and	and	CCONJ
ajst-18568	96	24	degradation	degradation	NOUN
ajst-18568	96	25	characteristics	characteristic	NOUN
ajst-18568	96	26	caused	cause	VERB
ajst-18568	96	27	by	by	ADP
ajst-18568	96	28	interfering	interfere	VERB
ajst-18568	96	29	factors	factor	NOUN
ajst-18568	96	30	such	such	ADJ
ajst-18568	96	31	as	as	ADP
ajst-18568	96	32	changes	change	NOUN
ajst-18568	96	33	in	in	ADP
ajst-18568	96	34	environmental	environmental	ADJ
ajst-18568	96	35	temperature	temperature	NOUN
ajst-18568	96	36	and	and	CCONJ
ajst-18568	96	37	differences	difference	NOUN
ajst-18568	96	38	between	between	ADP
ajst-18568	96	39	battery	battery	NOUN
ajst-18568	96	40	cells	cell	NOUN
ajst-18568	96	41	.	.	PUNCT
ajst-18568	97	1	therefore	therefore	ADV
ajst-18568	97	2	,	,	PUNCT
ajst-18568	97	3	in	in	ADP
ajst-18568	97	4	the	the	DET
ajst-18568	97	5	transfer	transfer	NOUN
ajst-18568	97	6	of	of	ADP
ajst-18568	97	7	aging	age	VERB
ajst-18568	97	8	information	information	NOUN
ajst-18568	97	9	,	,	PUNCT
ajst-18568	97	10	a	a	DET
ajst-18568	97	11	pretrained	pretraine	VERB
ajst-18568	97	12	lstm	lstm	PROPN
ajst-18568	97	13	model	model	NOUN
ajst-18568	97	14	suitable	suitable	ADJ
ajst-18568	97	15	for	for	ADP
ajst-18568	97	16	the	the	DET
ajst-18568	97	17	source	source	NOUN
ajst-18568	97	18	domain	domain	NOUN
ajst-18568	97	19	batteries	battery	NOUN
ajst-18568	97	20	is	be	AUX
ajst-18568	97	21	first	first	ADV
ajst-18568	97	22	trained	train	VERB
ajst-18568	97	23	using	use	VERB
ajst-18568	97	24	source	source	NOUN
ajst-18568	97	25	domain	domain	NOUN
ajst-18568	97	26	data	datum	NOUN
ajst-18568	97	27	.	.	PUNCT
ajst-18568	98	1	subsequently	subsequently	ADV
ajst-18568	98	2	,	,	PUNCT
ajst-18568	98	3	this	this	DET
ajst-18568	98	4	pre	pre	ADJ
ajst-18568	98	5	-	-	ADJ
ajst-18568	98	6	trained	train	VERB
ajst-18568	98	7	model	model	NOUN
ajst-18568	98	8	is	be	AUX
ajst-18568	98	9	transferred	transfer	VERB
ajst-18568	98	10	to	to	ADP
ajst-18568	98	11	the	the	DET
ajst-18568	98	12	target	target	NOUN
ajst-18568	98	13	domain	domain	NOUN
ajst-18568	98	14	and	and	CCONJ
ajst-18568	98	15	finetuned	finetune	VERB
ajst-18568	98	16	using	use	VERB
ajst-18568	98	17	the	the	DET
ajst-18568	98	18	training	training	NOUN
ajst-18568	98	19	set	set	NOUN
ajst-18568	98	20	of	of	ADP
ajst-18568	98	21	the	the	DET
ajst-18568	98	22	target	target	NOUN
ajst-18568	98	23	domain	domain	NOUN
ajst-18568	98	24	data	datum	NOUN
ajst-18568	98	25	,	,	PUNCT
ajst-18568	98	26	enabling	enable	VERB
ajst-18568	98	27	the	the	DET
ajst-18568	98	28	pre	pre	ADJ
ajst-18568	98	29	-	-	ADJ
ajst-18568	98	30	trained	train	VERB
ajst-18568	98	31	model	model	NOUN
ajst-18568	98	32	to	to	PART
ajst-18568	98	33	be	be	AUX
ajst-18568	98	34	applicable	applicable	ADJ
ajst-18568	98	35	to	to	PART
ajst-18568	98	36	target	target	VERB
ajst-18568	98	37	domain	domain	NOUN
ajst-18568	98	38	batteries	battery	NOUN
ajst-18568	98	39	[	[	X
ajst-18568	98	40	12	12	NUM
ajst-18568	98	41	]	]	PUNCT
ajst-18568	98	42	.	.	PUNCT
ajst-18568	99	1	the	the	DET
ajst-18568	99	2	pre	pre	ADJ
ajst-18568	99	3	-	-	ADJ
ajst-18568	99	4	training	training	ADJ
ajst-18568	99	5	-	-	PUNCT
ajst-18568	99	6	fine	fine	ADV
ajst-18568	99	7	-	-	PUNCT
ajst-18568	99	8	tuning	tune	VERB
ajst-18568	99	9	approach	approach	NOUN
ajst-18568	99	10	considers	consider	VERB
ajst-18568	99	11	both	both	CCONJ
ajst-18568	99	12	the	the	DET
ajst-18568	99	13	general	general	ADJ
ajst-18568	99	14	characteristics	characteristic	NOUN
ajst-18568	99	15	of	of	ADP
ajst-18568	99	16	source	source	NOUN
ajst-18568	99	17	domain	domain	NOUN
ajst-18568	99	18	batteries	battery	NOUN
ajst-18568	99	19	and	and	CCONJ
ajst-18568	99	20	the	the	DET
ajst-18568	99	21	unique	unique	ADJ
ajst-18568	99	22	characteristics	characteristic	NOUN
ajst-18568	99	23	of	of	ADP
ajst-18568	99	24	target	target	NOUN
ajst-18568	99	25	domain	domain	NOUN
ajst-18568	99	26	batteries	battery	NOUN
ajst-18568	99	27	,	,	PUNCT
ajst-18568	99	28	allowing	allow	VERB
ajst-18568	99	29	the	the	DET
ajst-18568	99	30	pre	pre	ADJ
ajst-18568	99	31	-	-	ADJ
ajst-18568	99	32	trained	train	VERB
ajst-18568	99	33	model	model	NOUN
ajst-18568	99	34	to	to	PART
ajst-18568	99	35	pre	pre	VERB
ajst-18568	99	36	-	-	VERB
ajst-18568	99	37	learn	learn	VERB
ajst-18568	99	38	the	the	DET
ajst-18568	99	39	general	general	ADJ
ajst-18568	99	40	characteristics	characteristic	NOUN
ajst-18568	99	41	of	of	ADP
ajst-18568	99	42	battery	battery	NOUN
ajst-18568	99	43	aging	aging	NOUN
ajst-18568	99	44	before	before	ADP
ajst-18568	99	45	predicting	predict	VERB
ajst-18568	99	46	battery	battery	NOUN
ajst-18568	99	47	rul	rul	NOUN
ajst-18568	99	48	and	and	CCONJ
ajst-18568	99	49	indirectly	indirectly	ADV
ajst-18568	99	50	expanding	expand	VERB
ajst-18568	99	51	the	the	DET
ajst-18568	99	52	training	training	NOUN
ajst-18568	99	53	dataset	dataset	NOUN
ajst-18568	99	54	,	,	PUNCT
ajst-18568	99	55	thereby	thereby	ADV
ajst-18568	99	56	improving	improve	VERB
ajst-18568	99	57	the	the	DET
ajst-18568	99	58	model	model	NOUN
ajst-18568	99	59	's	's	PART
ajst-18568	99	60	predictive	predictive	ADJ
ajst-18568	99	61	accuracy	accuracy	NOUN
ajst-18568	99	62	for	for	ADP
ajst-18568	99	63	target	target	NOUN
ajst-18568	99	64	domain	domain	NOUN
ajst-18568	99	65	batteries	battery	NOUN
ajst-18568	99	66	.	.	PUNCT
ajst-18568	100	1	3	3	X
ajst-18568	100	2	.	.	X
ajst-18568	100	3	tl	tl	PROPN
ajst-18568	100	4	-	-	PUNCT
ajst-18568	100	5	lstm	lstm	ADJ
ajst-18568	100	6	-	-	PUNCT
ajst-18568	100	7	sim	sim	ADJ
ajst-18568	100	8	prediction	prediction	NOUN
ajst-18568	100	9	model	model	NOUN
ajst-18568	100	10	construction	construction	NOUN
ajst-18568	100	11	3.1	3.1	NUM
ajst-18568	100	12	.	.	PUNCT
ajst-18568	101	1	the	the	DET
ajst-18568	101	2	method	method	NOUN
ajst-18568	101	3	framework	framework	NOUN
ajst-18568	101	4	of	of	ADP
ajst-18568	101	5	the	the	DET
ajst-18568	101	6	tl	tl	PROPN
ajst-18568	101	7	-	-	PUNCT
ajst-18568	101	8	lstmsim	lstmsim	NOUN
ajst-18568	101	9	model	model	NOUN
ajst-18568	101	10	as	as	SCONJ
ajst-18568	101	11	illustrated	illustrate	VERB
ajst-18568	101	12	in	in	ADP
ajst-18568	101	13	figure	figure	NOUN
ajst-18568	101	14	3	3	NUM
ajst-18568	101	15	,	,	PUNCT
ajst-18568	101	16	the	the	DET
ajst-18568	101	17	proposed	propose	VERB
ajst-18568	101	18	framework	framework	NOUN
ajst-18568	101	19	for	for	ADP
ajst-18568	101	20	rul	rul	NOUN
ajst-18568	101	21	prediction	prediction	NOUN
ajst-18568	101	22	consists	consist	VERB
ajst-18568	101	23	of	of	ADP
ajst-18568	101	24	two	two	NUM
ajst-18568	101	25	main	main	ADJ
ajst-18568	101	26	components	component	NOUN
ajst-18568	101	27	:	:	PUNCT
ajst-18568	101	28	source	source	NOUN
ajst-18568	101	29	domain	domain	NOUN
ajst-18568	101	30	battery	battery	NOUN
ajst-18568	101	31	iterations	iteration	NOUN
ajst-18568	101	32	module	module	NOUN
ajst-18568	101	33	(	(	PUNCT
ajst-18568	101	34	sim	sim	ADJ
ajst-18568	101	35	):	):	PUNCT
ajst-18568	101	36	multiple	multiple	ADJ
ajst-18568	101	37	batteries	battery	NOUN
ajst-18568	101	38	with	with	ADP
ajst-18568	101	39	known	know	VERB
ajst-18568	101	40	full	full	ADJ
ajst-18568	101	41	-	-	PUNCT
ajst-18568	101	42	lifetime	lifetime	NOUN
ajst-18568	101	43	capacity	capacity	NOUN
ajst-18568	101	44	degradation	degradation	NOUN
ajst-18568	101	45	data	datum	NOUN
ajst-18568	101	46	are	be	AUX
ajst-18568	101	47	initially	initially	ADV
ajst-18568	101	48	utilized	utilize	VERB
ajst-18568	101	49	as	as	ADP
ajst-18568	101	50	source	source	NOUN
ajst-18568	101	51	domain	domain	NOUN
ajst-18568	101	52	batteries	battery	NOUN
ajst-18568	101	53	for	for	ADP
ajst-18568	101	54	pre	pre	VERB
ajst-18568	101	55	-	-	NOUN
ajst-18568	101	56	training	train	VERB
ajst-18568	101	57	the	the	DET
ajst-18568	101	58	lstm	lstm	PROPN
ajst-18568	101	59	model	model	NOUN
ajst-18568	101	60	.	.	PUNCT
ajst-18568	102	1	through	through	ADP
ajst-18568	102	2	multiple	multiple	ADJ
ajst-18568	102	3	iterations	iteration	NOUN
ajst-18568	102	4	,	,	PUNCT
ajst-18568	102	5	a	a	DET
ajst-18568	102	6	pre	pre	ADJ
ajst-18568	102	7	-	-	ADJ
ajst-18568	102	8	trained	train	VERB
ajst-18568	102	9	model	model	NOUN
ajst-18568	102	10	with	with	ADP
ajst-18568	102	11	high	high	ADJ
ajst-18568	102	12	predictive	predictive	ADJ
ajst-18568	102	13	accuracy	accuracy	NOUN
ajst-18568	102	14	is	be	AUX
ajst-18568	102	15	obtained	obtain	VERB
ajst-18568	102	16	.	.	PUNCT
ajst-18568	103	1	prediction	prediction	NOUN
ajst-18568	103	2	of	of	ADP
ajst-18568	103	3	remaining	remain	VERB
ajst-18568	103	4	useful	useful	ADJ
ajst-18568	103	5	life	life	NOUN
ajst-18568	103	6	(	(	PUNCT
ajst-18568	103	7	rul	rul	NOUN
ajst-18568	103	8	)	)	PUNCT
ajst-18568	103	9	for	for	ADP
ajst-18568	103	10	target	target	NOUN
ajst-18568	103	11	domain	domain	NOUN
ajst-18568	103	12	batteries	battery	NOUN
ajst-18568	103	13	:	:	PUNCT
ajst-18568	103	14	the	the	DET
ajst-18568	103	15	optimal	optimal	ADJ
ajst-18568	103	16	lstm	lstm	ADJ
ajst-18568	103	17	pre	pre	ADJ
ajst-18568	103	18	-	-	ADJ
ajst-18568	103	19	trained	train	VERB
ajst-18568	103	20	model	model	NOUN
ajst-18568	103	21	obtained	obtain	VERB
ajst-18568	103	22	from	from	ADP
ajst-18568	103	23	the	the	DET
ajst-18568	103	24	source	source	NOUN
ajst-18568	103	25	domain	domain	NOUN
ajst-18568	103	26	is	be	AUX
ajst-18568	103	27	transferred	transfer	VERB
ajst-18568	103	28	to	to	ADP
ajst-18568	103	29	the	the	DET
ajst-18568	103	30	target	target	NOUN
ajst-18568	103	31	domain	domain	NOUN
ajst-18568	103	32	.	.	PUNCT
ajst-18568	104	1	after	after	ADP
ajst-18568	104	2	fine	fine	ADV
ajst-18568	104	3	-	-	PUNCT
ajst-18568	104	4	tuning	tuning	NOUN
ajst-18568	104	5	using	use	VERB
ajst-18568	104	6	the	the	DET
ajst-18568	104	7	target	target	NOUN
ajst-18568	104	8	domain	domain	NOUN
ajst-18568	104	9	training	training	NOUN
ajst-18568	104	10	set	set	NOUN
ajst-18568	104	11	,	,	PUNCT
ajst-18568	104	12	the	the	DET
ajst-18568	104	13	model	model	NOUN
ajst-18568	104	14	predicts	predict	VERB
ajst-18568	104	15	the	the	DET
ajst-18568	104	16	capacity	capacity	NOUN
ajst-18568	104	17	degradation	degradation	NOUN
ajst-18568	104	18	curve	curve	NOUN
ajst-18568	104	19	for	for	ADP
ajst-18568	104	20	target	target	NOUN
ajst-18568	104	21	domain	domain	NOUN
ajst-18568	104	22	batteries	battery	NOUN
ajst-18568	104	23	,	,	PUNCT
ajst-18568	104	24	subsequently	subsequently	ADV
ajst-18568	104	25	calculating	calculate	VERB
ajst-18568	104	26	the	the	DET
ajst-18568	104	27	rul	rul	NOUN
ajst-18568	104	28	of	of	ADP
ajst-18568	104	29	the	the	DET
ajst-18568	104	30	target	target	NOUN
ajst-18568	104	31	domain	domain	NOUN
ajst-18568	104	32	batteries	battery	NOUN
ajst-18568	104	33	.	.	PUNCT
ajst-18568	105	1	figure	figure	NOUN
ajst-18568	105	2	5	5	NUM
ajst-18568	105	3	.	.	PUNCT
ajst-18568	106	1	the	the	DET
ajst-18568	106	2	framework	framework	NOUN
ajst-18568	106	3	of	of	ADP
ajst-18568	106	4	tl	tl	PROPN
ajst-18568	106	5	-	-	PUNCT
ajst-18568	106	6	lstm	lstm	ADJ
ajst-18568	106	7	-	-	PUNCT
ajst-18568	106	8	sim	sim	NOUN
ajst-18568	106	9	method	method	NOUN
ajst-18568	106	10	.	.	PUNCT
ajst-18568	107	1	3.1.1	3.1.1	X
ajst-18568	107	2	.	.	PUNCT
ajst-18568	107	3	source	source	NOUN
ajst-18568	107	4	domain	domain	NOUN
ajst-18568	107	5	battery	battery	NOUN
ajst-18568	107	6	iterations	iteration	NOUN
ajst-18568	107	7	module	module	NOUN
ajst-18568	107	8	(	(	PUNCT
ajst-18568	107	9	sim	sim	NOUN
ajst-18568	107	10	)	)	PUNCT
ajst-18568	107	11	in	in	ADP
ajst-18568	107	12	conventional	conventional	ADJ
ajst-18568	107	13	transfer	transfer	NOUN
ajst-18568	107	14	learning	learning	NOUN
ajst-18568	107	15	,	,	PUNCT
ajst-18568	107	16	typically	typically	ADV
ajst-18568	107	17	,	,	PUNCT
ajst-18568	107	18	a	a	DET
ajst-18568	107	19	single	single	ADJ
ajst-18568	107	20	-	-	PUNCT
ajst-18568	107	21	source	source	NOUN
ajst-18568	107	22	domain	domain	NOUN
ajst-18568	107	23	battery	battery	NOUN
ajst-18568	107	24	data	datum	NOUN
ajst-18568	107	25	is	be	AUX
ajst-18568	107	26	used	use	VERB
ajst-18568	107	27	for	for	ADP
ajst-18568	107	28	model	model	NOUN
ajst-18568	107	29	pre	pre	NOUN
ajst-18568	107	30	-	-	NOUN
ajst-18568	107	31	training	train	VERB
ajst-18568	107	32	[	[	X
ajst-18568	107	33	12	12	NUM
ajst-18568	107	34	]	]	PUNCT
ajst-18568	107	35	,	,	PUNCT
ajst-18568	107	36	resulting	result	VERB
ajst-18568	107	37	in	in	ADP
ajst-18568	107	38	significant	significant	ADJ
ajst-18568	107	39	discrepancies	discrepancy	NOUN
ajst-18568	107	40	between	between	ADP
ajst-18568	107	41	source	source	NOUN
ajst-18568	107	42	and	and	CCONJ
ajst-18568	107	43	target	target	NOUN
ajst-18568	107	44	domain	domain	NOUN
ajst-18568	107	45	batteries	battery	NOUN
ajst-18568	107	46	,	,	PUNCT
ajst-18568	107	47	which	which	PRON
ajst-18568	107	48	greatly	greatly	ADV
ajst-18568	107	49	affect	affect	VERB
ajst-18568	107	50	the	the	DET
ajst-18568	107	51	predictive	predictive	ADJ
ajst-18568	107	52	accuracy	accuracy	NOUN
ajst-18568	107	53	of	of	ADP
ajst-18568	107	54	the	the	DET
ajst-18568	107	55	model	model	NOUN
ajst-18568	107	56	.	.	PUNCT
ajst-18568	108	1	to	to	PART
ajst-18568	108	2	address	address	VERB
ajst-18568	108	3	this	this	DET
ajst-18568	108	4	issue	issue	NOUN
ajst-18568	108	5	,	,	PUNCT
ajst-18568	108	6	this	this	DET
ajst-18568	108	7	paper	paper	NOUN
ajst-18568	108	8	introduces	introduce	VERB
ajst-18568	108	9	the	the	DET
ajst-18568	108	10	source	source	NOUN
ajst-18568	108	11	domain	domain	NOUN
ajst-18568	108	12	battery	battery	NOUN
ajst-18568	108	13	iterations	iteration	NOUN
ajst-18568	108	14	module	module	NOUN
ajst-18568	108	15	(	(	PUNCT
ajst-18568	108	16	sim	sim	NOUN
ajst-18568	108	17	)	)	PUNCT
ajst-18568	108	18	based	base	VERB
ajst-18568	108	19	on	on	ADP
ajst-18568	108	20	transfer	transfer	NOUN
ajst-18568	108	21	learning	learning	NOUN
ajst-18568	108	22	(	(	PUNCT
ajst-18568	108	23	tl	tl	PROPN
ajst-18568	108	24	)	)	PUNCT
ajst-18568	108	25	,	,	PUNCT
ajst-18568	108	26	which	which	PRON
ajst-18568	108	27	iteratively	iteratively	ADV
ajst-18568	108	28	trains	train	VERB
ajst-18568	108	29	the	the	DET
ajst-18568	108	30	lstm	lstm	PROPN
ajst-18568	108	31	model	model	NOUN
ajst-18568	108	32	using	use	VERB
ajst-18568	108	33	capacity	capacity	NOUN
ajst-18568	108	34	data	datum	NOUN
ajst-18568	108	35	from	from	ADP
ajst-18568	108	36	multiple	multiple	ADJ
ajst-18568	108	37	lithium	lithium	NOUN
ajst-18568	108	38	-	-	PUNCT
ajst-18568	108	39	ion	ion	NOUN
ajst-18568	108	40	batteries	battery	NOUN
ajst-18568	108	41	,	,	PUNCT
ajst-18568	108	42	and	and	CCONJ
ajst-18568	108	43	saves	save	VERB
ajst-18568	108	44	the	the	DET
ajst-18568	108	45	optimal	optimal	ADJ
ajst-18568	108	46	lstm	lstm	ADJ
ajst-18568	108	47	pre	pre	ADJ
ajst-18568	108	48	-	-	ADJ
ajst-18568	108	49	trained	train	VERB
ajst-18568	108	50	model	model	NOUN
ajst-18568	108	51	obtained	obtain	VERB
ajst-18568	108	52	during	during	ADP
ajst-18568	108	53	training	training	NOUN
ajst-18568	108	54	,	,	PUNCT
ajst-18568	108	55	which	which	PRON
ajst-18568	108	56	is	be	AUX
ajst-18568	108	57	later	later	ADV
ajst-18568	108	58	invoked	invoke	VERB
ajst-18568	108	59	for	for	ADP
ajst-18568	108	60	predicting	predict	VERB
ajst-18568	108	61	target	target	NOUN
ajst-18568	108	62	domain	domain	NOUN
ajst-18568	108	63	batteries	battery	NOUN
ajst-18568	108	64	.	.	PUNCT
ajst-18568	109	1	the	the	DET
ajst-18568	109	2	training	training	NOUN
ajst-18568	109	3	process	process	NOUN
ajst-18568	109	4	of	of	ADP
ajst-18568	109	5	the	the	DET
ajst-18568	109	6	sim	sim	ADJ
ajst-18568	109	7	module	module	NOUN
ajst-18568	109	8	is	be	AUX
ajst-18568	109	9	illustrated	illustrate	VERB
ajst-18568	109	10	in	in	ADP
ajst-18568	109	11	figure	figure	NOUN
ajst-18568	109	12	3	3	NUM
ajst-18568	109	13	.	.	PUNCT
ajst-18568	110	1	firstly	firstly	ADV
ajst-18568	110	2	,	,	PUNCT
ajst-18568	110	3	all	all	DET
ajst-18568	110	4	capacity	capacity	NOUN
ajst-18568	110	5	data	datum	NOUN
ajst-18568	110	6	of	of	ADP
ajst-18568	110	7	source	source	NOUN
ajst-18568	110	8	domain	domain	NOUN
ajst-18568	110	9	battery	battery	NOUN
ajst-18568	110	10	#	#	SYM
ajst-18568	110	11	1	1	NUM
ajst-18568	110	12	are	be	AUX
ajst-18568	110	13	used	use	VERB
ajst-18568	110	14	as	as	ADP
ajst-18568	110	15	the	the	DET
ajst-18568	110	16	training	training	NOUN
ajst-18568	110	17	set	set	VERB
ajst-18568	110	18	to	to	AUX
ajst-18568	110	19	pre	pre	VERB
ajst-18568	110	20	-	-	VERB
ajst-18568	110	21	train	train	VERB
ajst-18568	110	22	the	the	DET
ajst-18568	110	23	lstm	lstm	PROPN
ajst-18568	110	24	model	model	NOUN
ajst-18568	110	25	and	and	CCONJ
ajst-18568	110	26	saved	save	VERB
ajst-18568	110	27	as	as	ADP
ajst-18568	110	28	lstm#1	lstm#1	PROPN
ajst-18568	110	29	.	.	PUNCT
ajst-18568	111	1	subsequently	subsequently	ADV
ajst-18568	111	2	,	,	PUNCT
ajst-18568	111	3	all	all	DET
ajst-18568	111	4	data	datum	NOUN
ajst-18568	111	5	of	of	ADP
ajst-18568	111	6	source	source	NOUN
ajst-18568	111	7	domain	domain	NOUN
ajst-18568	111	8	battery	battery	NOUN
ajst-18568	111	9	#	#	SYM
ajst-18568	111	10	2	2	NUM
ajst-18568	111	11	are	be	AUX
ajst-18568	111	12	used	use	VERB
ajst-18568	111	13	as	as	ADP
ajst-18568	111	14	the	the	DET
ajst-18568	111	15	training	training	NOUN
ajst-18568	111	16	set	set	VERB
ajst-18568	111	17	to	to	PART
ajst-18568	111	18	continue	continue	VERB
ajst-18568	111	19	training	train	VERB
ajst-18568	111	20	lstm#1	lstm#1	PROPN
ajst-18568	111	21	,	,	PUNCT
ajst-18568	111	22	and	and	CCONJ
ajst-18568	111	23	lstm#2	lstm#2	PROPN
ajst-18568	111	24	is	be	AUX
ajst-18568	111	25	obtained	obtain	VERB
ajst-18568	111	26	.	.	PUNCT
ajst-18568	112	1	this	this	DET
ajst-18568	112	2	process	process	NOUN
ajst-18568	112	3	continues	continue	VERB
ajst-18568	112	4	until	until	ADP
ajst-18568	112	5	source	source	NOUN
ajst-18568	112	6	domain	domain	NOUN
ajst-18568	112	7	battery	battery	NOUN
ajst-18568	112	8	#	#	NOUN
ajst-18568	112	9	s	s	NOUN
ajst-18568	112	10	,	,	PUNCT
ajst-18568	112	11	achieving	achieve	VERB
ajst-18568	112	12	iterative	iterative	NOUN
ajst-18568	112	13	training	training	NOUN
ajst-18568	112	14	using	use	VERB
ajst-18568	112	15	multiple	multiple	ADJ
ajst-18568	112	16	source	source	NOUN
ajst-18568	112	17	domain	domain	NOUN
ajst-18568	112	18	batteries	battery	NOUN
ajst-18568	112	19	.	.	PUNCT
ajst-18568	113	1	during	during	ADP
ajst-18568	113	2	the	the	DET
ajst-18568	113	3	iteration	iteration	NOUN
ajst-18568	113	4	,	,	PUNCT
ajst-18568	113	5	except	except	SCONJ
ajst-18568	113	6	for	for	ADP
ajst-18568	113	7	the	the	DET
ajst-18568	113	8	first	first	ADJ
ajst-18568	113	9	source	source	NOUN
ajst-18568	113	10	domain	domain	NOUN
ajst-18568	113	11	battery	battery	NOUN
ajst-18568	113	12	,	,	PUNCT
ajst-18568	113	13	subsequent	subsequent	ADJ
ajst-18568	113	14	batteries	battery	NOUN
ajst-18568	113	15	call	call	VERB
ajst-18568	113	16	upon	upon	SCONJ
ajst-18568	113	17	the	the	DET
ajst-18568	113	18	previously	previously	ADV
ajst-18568	113	19	saved	save	VERB
ajst-18568	113	20	pretrained	pretraine	VERB
ajst-18568	113	21	model	model	NOUN
ajst-18568	113	22	.	.	PUNCT
ajst-18568	114	1	finally	finally	ADV
ajst-18568	114	2	,	,	PUNCT
ajst-18568	114	3	the	the	DET
ajst-18568	114	4	lstm	lstm	ADJ
ajst-18568	114	5	pre	pre	ADJ
ajst-18568	114	6	-	-	ADJ
ajst-18568	114	7	trained	train	VERB
ajst-18568	114	8	model	model	NOUN
ajst-18568	114	9	"	"	PUNCT
ajst-18568	114	10	lstm#s	lstm#s	NOUN
ajst-18568	114	11	"	"	PUNCT
ajst-18568	114	12	obtained	obtain	VERB
ajst-18568	114	13	after	after	ADP
ajst-18568	114	14	training	training	NOUN
ajst-18568	114	15	is	be	AUX
ajst-18568	114	16	used	use	VERB
ajst-18568	114	17	as	as	ADP
ajst-18568	114	18	the	the	DET
ajst-18568	114	19	output	output	NOUN
ajst-18568	114	20	of	of	ADP
ajst-18568	114	21	the	the	DET
ajst-18568	114	22	sim	sim	ADJ
ajst-18568	114	23	module	module	NOUN
ajst-18568	114	24	for	for	ADP
ajst-18568	114	25	the	the	DET
ajst-18568	114	26	rul	rul	NOUN
ajst-18568	114	27	prediction	prediction	NOUN
ajst-18568	114	28	process	process	NOUN
ajst-18568	114	29	.	.	PUNCT
ajst-18568	115	1	through	through	ADP
ajst-18568	115	2	multiple	multiple	ADJ
ajst-18568	115	3	experiments	experiment	NOUN
ajst-18568	115	4	,	,	PUNCT
ajst-18568	115	5	this	this	DET
ajst-18568	115	6	paper	paper	NOUN
ajst-18568	115	7	selects	select	NOUN
ajst-18568	115	8	batteries	battery	NOUN
ajst-18568	115	9	n1	n1	PROPN
ajst-18568	115	10	-	-	PUNCT
ajst-18568	115	11	n7	n7	PROPN
ajst-18568	115	12	from	from	ADP
ajst-18568	115	13	the	the	DET
ajst-18568	115	14	mit	mit	NOUN
ajst-18568	115	15	dataset	dataset	NOUN
ajst-18568	115	16	as	as	ADP
ajst-18568	115	17	the	the	DET
ajst-18568	115	18	source	source	NOUN
ajst-18568	115	19	domain	domain	NOUN
ajst-18568	115	20	batteries	battery	NOUN
ajst-18568	115	21	used	use	VERB
ajst-18568	115	22	in	in	ADP
ajst-18568	115	23	the	the	DET
ajst-18568	115	24	sim	sim	NOUN
ajst-18568	115	25	module	module	NOUN
ajst-18568	115	26	,	,	PUNCT
ajst-18568	115	27	i.e.	i.e.	X
ajst-18568	115	28	,	,	PUNCT
ajst-18568	115	29	after	after	ADP
ajst-18568	115	30	7	7	NUM
ajst-18568	115	31	iterations	iteration	NOUN
ajst-18568	115	32	,	,	PUNCT
ajst-18568	115	33	the	the	DET
ajst-18568	115	34	sim	sim	ADJ
ajst-18568	115	35	module	module	NOUN
ajst-18568	115	36	outputs	output	VERB
ajst-18568	115	37	the	the	DET
ajst-18568	115	38	lstm	lstm	ADJ
ajst-18568	115	39	pre	pre	ADJ
ajst-18568	115	40	-	-	ADJ
ajst-18568	115	41	trained	train	VERB
ajst-18568	115	42	model	model	NOUN
ajst-18568	115	43	.	.	PUNCT
ajst-18568	116	1	3.1.2	3.1.2	NUM
ajst-18568	116	2	.	.	PUNCT
ajst-18568	116	3	rul	rul	NOUN
ajst-18568	116	4	prediction	prediction	NOUN
ajst-18568	116	5	as	as	SCONJ
ajst-18568	116	6	shown	show	VERB
ajst-18568	116	7	in	in	ADP
ajst-18568	116	8	figure	figure	NOUN
ajst-18568	116	9	4	4	NUM
ajst-18568	116	10	,	,	PUNCT
ajst-18568	116	11	the	the	DET
ajst-18568	116	12	rul	rul	NOUN
ajst-18568	116	13	prediction	prediction	NOUN
ajst-18568	116	14	process	process	NOUN
ajst-18568	116	15	of	of	ADP
ajst-18568	116	16	the	the	DET
ajst-18568	116	17	tl	tl	PROPN
ajst-18568	116	18	-	-	PUNCT
ajst-18568	116	19	lstm	lstm	ADJ
ajst-18568	116	20	-	-	PUNCT
ajst-18568	116	21	sim	sim	ADJ
ajst-18568	116	22	model	model	NOUN
ajst-18568	116	23	is	be	AUX
ajst-18568	116	24	depicted	depict	VERB
ajst-18568	116	25	.	.	PUNCT
ajst-18568	117	1	the	the	DET
ajst-18568	117	2	specific	specific	ADJ
ajst-18568	117	3	prediction	prediction	NOUN
ajst-18568	117	4	process	process	NOUN
ajst-18568	117	5	is	be	AUX
ajst-18568	117	6	as	as	SCONJ
ajst-18568	117	7	follows	follow	VERB
ajst-18568	117	8	:	:	PUNCT
ajst-18568	117	9	(	(	PUNCT
ajst-18568	117	10	1	1	X
ajst-18568	117	11	)	)	PUNCT
ajst-18568	117	12	partitioning	partitioning	NOUN
ajst-18568	117	13	of	of	ADP
ajst-18568	117	14	source	source	NOUN
ajst-18568	117	15	domain	domain	NOUN
ajst-18568	117	16	batteries	battery	NOUN
ajst-18568	117	17	and	and	CCONJ
ajst-18568	117	18	target	target	NOUN
ajst-18568	117	19	domain	domain	NOUN
ajst-18568	117	20	batteries	battery	NOUN
ajst-18568	117	21	.	.	PUNCT
ajst-18568	118	1	the	the	DET
ajst-18568	118	2	sim	sim	ADJ
ajst-18568	118	3	module	module	NOUN
ajst-18568	118	4	is	be	AUX
ajst-18568	118	5	constructed	construct	VERB
ajst-18568	118	6	using	use	VERB
ajst-18568	118	7	batteries	battery	NOUN
ajst-18568	118	8	n1	n1	PROPN
ajst-18568	118	9	-	-	PUNCT
ajst-18568	118	10	n7	n7	PROPN
ajst-18568	118	11	from	from	ADP
ajst-18568	118	12	the	the	DET
ajst-18568	118	13	mit	mit	NOUN
ajst-18568	118	14	dataset	dataset	NOUN
ajst-18568	118	15	.	.	PUNCT
ajst-18568	119	1	(	(	PUNCT
ajst-18568	119	2	2	2	X
ajst-18568	119	3	)	)	PUNCT
ajst-18568	119	4	pre	pre	NOUN
ajst-18568	119	5	-	-	NOUN
ajst-18568	119	6	training	train	VERB
ajst-18568	119	7	the	the	DET
ajst-18568	119	8	lstm	lstm	NOUN
ajst-18568	119	9	model	model	NOUN
ajst-18568	119	10	using	use	VERB
ajst-18568	119	11	the	the	DET
ajst-18568	119	12	sim	sim	ADJ
ajst-18568	119	13	module	module	NOUN
ajst-18568	119	14	.	.	PUNCT
ajst-18568	120	1	the	the	DET
ajst-18568	120	2	lstm	lstm	PROPN
ajst-18568	120	3	model	model	NOUN
ajst-18568	120	4	is	be	AUX
ajst-18568	120	5	trained	train	VERB
ajst-18568	120	6	using	use	VERB
ajst-18568	120	7	all	all	DET
ajst-18568	120	8	capacity	capacity	NOUN
ajst-18568	120	9	data	datum	NOUN
ajst-18568	120	10	of	of	ADP
ajst-18568	120	11	source	source	NOUN
ajst-18568	120	12	domain	domain	NOUN
ajst-18568	120	13	batteries	battery	NOUN
ajst-18568	120	14	,	,	PUNCT
ajst-18568	120	15	and	and	CCONJ
ajst-18568	120	16	after	after	ADP
ajst-18568	120	17	7	7	NUM
ajst-18568	120	18	iterations	iteration	NOUN
ajst-18568	120	19	,	,	PUNCT
ajst-18568	120	20	the	the	DET
ajst-18568	120	21	optimal	optimal	ADJ
ajst-18568	120	22	lstm	lstm	ADJ
ajst-18568	120	23	pre	pre	ADJ
ajst-18568	120	24	-	-	ADJ
ajst-18568	120	25	trained	train	VERB
ajst-18568	120	26	model	model	NOUN
ajst-18568	120	27	is	be	AUX
ajst-18568	120	28	obtained	obtain	VERB
ajst-18568	120	29	.	.	PUNCT
ajst-18568	121	1	(	(	PUNCT
ajst-18568	121	2	3	3	X
ajst-18568	121	3	)	)	PUNCT
ajst-18568	121	4	transfer	transfer	VERB
ajst-18568	121	5	the	the	DET
ajst-18568	121	6	optimal	optimal	ADJ
ajst-18568	121	7	lstm	lstm	ADJ
ajst-18568	121	8	pre	pre	ADJ
ajst-18568	121	9	-	-	ADJ
ajst-18568	121	10	trained	train	VERB
ajst-18568	121	11	model	model	NOUN
ajst-18568	121	12	to	to	ADP
ajst-18568	121	13	the	the	DET
ajst-18568	121	14	target	target	NOUN
ajst-18568	121	15	domain	domain	NOUN
ajst-18568	121	16	and	and	CCONJ
ajst-18568	121	17	fine	fine	ADJ
ajst-18568	121	18	-	-	PUNCT
ajst-18568	121	19	tune	tune	NOUN
ajst-18568	121	20	the	the	DET
ajst-18568	121	21	model	model	NOUN
ajst-18568	121	22	using	use	VERB
ajst-18568	121	23	the	the	DET
ajst-18568	121	24	target	target	NOUN
ajst-18568	121	25	domain	domain	NOUN
ajst-18568	121	26	training	training	NOUN
ajst-18568	121	27	set	set	NOUN
ajst-18568	121	28	.	.	PUNCT
ajst-18568	122	1	with	with	ADP
ajst-18568	122	2	the	the	DET
ajst-18568	122	3	prediction	prediction	NOUN
ajst-18568	122	4	starting	starting	NOUN
ajst-18568	122	5	point	point	NOUN
ajst-18568	122	6	(	(	PUNCT
ajst-18568	122	7	sp	sp	NOUN
ajst-18568	122	8	)	)	PUNCT
ajst-18568	122	9	as	as	ADP
ajst-18568	122	10	the	the	DET
ajst-18568	122	11	185	185	NUM
ajst-18568	122	12	boundary	boundary	NOUN
ajst-18568	122	13	,	,	PUNCT
ajst-18568	122	14	the	the	DET
ajst-18568	122	15	capacity	capacity	NOUN
ajst-18568	122	16	data	datum	NOUN
ajst-18568	122	17	of	of	ADP
ajst-18568	122	18	the	the	DET
ajst-18568	122	19	target	target	NOUN
ajst-18568	122	20	domain	domain	NOUN
ajst-18568	122	21	batteries	battery	NOUN
ajst-18568	122	22	are	be	AUX
ajst-18568	122	23	divided	divide	VERB
ajst-18568	122	24	into	into	ADP
ajst-18568	122	25	training	training	NOUN
ajst-18568	122	26	and	and	CCONJ
ajst-18568	122	27	testing	testing	NOUN
ajst-18568	122	28	sets	set	NOUN
ajst-18568	122	29	,	,	PUNCT
ajst-18568	122	30	where	where	SCONJ
ajst-18568	122	31	the	the	DET
ajst-18568	122	32	training	training	NOUN
ajst-18568	122	33	set	set	NOUN
ajst-18568	122	34	is	be	AUX
ajst-18568	122	35	used	use	VERB
ajst-18568	122	36	for	for	ADP
ajst-18568	122	37	fine	fine	ADV
ajst-18568	122	38	-	-	PUNCT
ajst-18568	122	39	tuning	tune	VERB
ajst-18568	122	40	the	the	DET
ajst-18568	122	41	pre	pre	ADJ
ajst-18568	122	42	-	-	ADJ
ajst-18568	122	43	trained	train	VERB
ajst-18568	122	44	model	model	NOUN
ajst-18568	122	45	.	.	PUNCT
ajst-18568	123	1	(	(	PUNCT
ajst-18568	123	2	4	4	X
ajst-18568	123	3	)	)	PUNCT
ajst-18568	123	4	invoking	invoke	VERB
ajst-18568	123	5	the	the	DET
ajst-18568	123	6	fine	fine	ADV
ajst-18568	123	7	-	-	PUNCT
ajst-18568	123	8	tuned	tune	VERB
ajst-18568	123	9	lstm	lstm	ADJ
ajst-18568	123	10	pre	pre	ADJ
ajst-18568	123	11	-	-	ADJ
ajst-18568	123	12	trained	train	VERB
ajst-18568	123	13	model	model	NOUN
ajst-18568	123	14	to	to	PART
ajst-18568	123	15	predict	predict	VERB
ajst-18568	123	16	the	the	DET
ajst-18568	123	17	capacity	capacity	NOUN
ajst-18568	123	18	of	of	ADP
ajst-18568	123	19	target	target	NOUN
ajst-18568	123	20	domain	domain	NOUN
ajst-18568	123	21	batteries	battery	NOUN
ajst-18568	123	22	.	.	PUNCT
ajst-18568	124	1	the	the	DET
ajst-18568	124	2	prediction	prediction	NOUN
ajst-18568	124	3	ends	end	VERB
ajst-18568	124	4	when	when	SCONJ
ajst-18568	124	5	the	the	DET
ajst-18568	124	6	capacity	capacity	NOUN
ajst-18568	124	7	prediction	prediction	NOUN
ajst-18568	124	8	curve	curve	NOUN
ajst-18568	124	9	descends	descend	VERB
ajst-18568	124	10	to	to	ADP
ajst-18568	124	11	the	the	DET
ajst-18568	124	12	endof	endof	NOUN
ajst-18568	124	13	-	-	PUNCT
ajst-18568	124	14	life	life	NOUN
ajst-18568	124	15	(	(	PUNCT
ajst-18568	124	16	eol	eol	PROPN
ajst-18568	124	17	)	)	PUNCT
ajst-18568	124	18	point	point	NOUN
ajst-18568	124	19	,	,	PUNCT
ajst-18568	124	20	and	and	CCONJ
ajst-18568	124	21	outputs	output	VERB
ajst-18568	124	22	the	the	DET
ajst-18568	124	23	capacity	capacity	NOUN
ajst-18568	124	24	prediction	prediction	NOUN
ajst-18568	124	25	curve	curve	NOUN
ajst-18568	124	26	and	and	CCONJ
ajst-18568	124	27	the	the	DET
ajst-18568	124	28	rul	rul	NOUN
ajst-18568	124	29	prediction	prediction	NOUN
ajst-18568	124	30	value	value	NOUN
ajst-18568	124	31	.	.	PUNCT
ajst-18568	125	1	eol	eol	PROPN
ajst-18568	125	2	corresponds	correspond	VERB
ajst-18568	125	3	to	to	ADP
ajst-18568	125	4	the	the	DET
ajst-18568	125	5	number	number	NOUN
ajst-18568	125	6	of	of	ADP
ajst-18568	125	7	cycles	cycle	NOUN
ajst-18568	125	8	at	at	ADP
ajst-18568	125	9	the	the	DET
ajst-18568	125	10	failure	failure	NOUN
ajst-18568	125	11	threshold	threshold	NOUN
ajst-18568	125	12	of	of	ADP
ajst-18568	125	13	the	the	DET
ajst-18568	125	14	lithium	lithium	NOUN
ajst-18568	125	15	-	-	PUNCT
ajst-18568	125	16	ion	ion	NOUN
ajst-18568	125	17	battery	battery	NOUN
ajst-18568	125	18	.	.	PUNCT
ajst-18568	126	1	the	the	DET
ajst-18568	126	2	rul	rul	NOUN
ajst-18568	126	3	calculation	calculation	NOUN
ajst-18568	126	4	formula	formula	NOUN
ajst-18568	126	5	is	be	AUX
ajst-18568	126	6	as	as	SCONJ
ajst-18568	126	7	follows	follow	VERB
ajst-18568	126	8	:	:	PUNCT
ajst-18568	126	9	rul	rul	PROPN
ajst-18568	126	10	eol	eol	PROPN
ajst-18568	126	11	sp	sp	ADP
ajst-18568	126	12	(	(	PUNCT
ajst-18568	126	13	9	9	NUM
ajst-18568	126	14	)	)	PUNCT
ajst-18568	126	15	sp	sp	NOUN
ajst-18568	126	16	is	be	AUX
ajst-18568	126	17	the	the	DET
ajst-18568	126	18	starting	starting	NOUN
ajst-18568	126	19	point	point	NOUN
ajst-18568	126	20	.	.	PUNCT
ajst-18568	127	1	figure	figure	VERB
ajst-18568	127	2	6	6	NUM
ajst-18568	127	3	.	.	PUNCT
ajst-18568	128	1	the	the	DET
ajst-18568	128	2	rulprediction	rulprediction	NOUN
ajst-18568	128	3	process	process	NOUN
ajst-18568	128	4	based	base	VERB
ajst-18568	128	5	on	on	ADP
ajst-18568	128	6	the	the	DET
ajst-18568	128	7	tllstm	tllstm	NOUN
ajst-18568	128	8	-	-	PUNCT
ajst-18568	128	9	sim	sim	ADJ
ajst-18568	128	10	model	model	NOUN
ajst-18568	128	11	.	.	PUNCT
ajst-18568	129	1	3.2	3.2	NUM
ajst-18568	129	2	.	.	PUNCT
ajst-18568	129	3	introduction	introduction	NOUN
ajst-18568	129	4	of	of	ADP
ajst-18568	129	5	the	the	DET
ajst-18568	129	6	experimental	experimental	ADJ
ajst-18568	129	7	datasets	dataset	NOUN
ajst-18568	129	8	validation	validation	NOUN
ajst-18568	129	9	of	of	ADP
ajst-18568	129	10	the	the	DET
ajst-18568	129	11	algorithm	algorithm	NOUN
ajst-18568	129	12	's	's	PART
ajst-18568	129	13	performance	performance	NOUN
ajst-18568	129	14	was	be	AUX
ajst-18568	129	15	conducted	conduct	VERB
ajst-18568	129	16	using	use	VERB
ajst-18568	129	17	two	two	NUM
ajst-18568	129	18	types	type	NOUN
ajst-18568	129	19	of	of	ADP
ajst-18568	129	20	lithium	lithium	NOUN
ajst-18568	129	21	-	-	PUNCT
ajst-18568	129	22	ion	ion	NOUN
ajst-18568	129	23	batteries	battery	NOUN
ajst-18568	129	24	with	with	ADP
ajst-18568	129	25	different	different	ADJ
ajst-18568	129	26	electrode	electrode	NOUN
ajst-18568	129	27	materials	material	NOUN
ajst-18568	129	28	and	and	CCONJ
ajst-18568	129	29	aging	age	VERB
ajst-18568	129	30	environments	environment	NOUN
ajst-18568	129	31	.	.	PUNCT
ajst-18568	130	1	the	the	DET
ajst-18568	130	2	first	first	ADJ
ajst-18568	130	3	type	type	NOUN
ajst-18568	130	4	of	of	ADP
ajst-18568	130	5	battery	battery	NOUN
ajst-18568	130	6	was	be	AUX
ajst-18568	130	7	sourced	source	VERB
ajst-18568	130	8	from	from	ADP
ajst-18568	130	9	the	the	DET
ajst-18568	130	10	mit	mit	NOUN
ajst-18568	130	11	dataset	dataset	NOUN
ajst-18568	130	12	as	as	SCONJ
ajst-18568	130	13	described	describe	VERB
ajst-18568	130	14	in	in	ADP
ajst-18568	130	15	reference	reference	NOUN
ajst-18568	130	16	[	[	X
ajst-18568	130	17	15	15	NUM
ajst-18568	130	18	]	]	PUNCT
ajst-18568	130	19	.	.	PUNCT
ajst-18568	131	1	this	this	DET
ajst-18568	131	2	dataset	dataset	NOUN
ajst-18568	131	3	comprises	comprise	VERB
ajst-18568	131	4	124	124	NUM
ajst-18568	131	5	sets	set	NOUN
ajst-18568	131	6	of	of	ADP
ajst-18568	131	7	lithium	lithium	NOUN
ajst-18568	131	8	-	-	PUNCT
ajst-18568	131	9	ion	ion	NOUN
ajst-18568	131	10	battery	battery	NOUN
ajst-18568	131	11	aging	age	VERB
ajst-18568	131	12	data	datum	NOUN
ajst-18568	131	13	,	,	PUNCT
ajst-18568	131	14	from	from	ADP
ajst-18568	131	15	which	which	PRON
ajst-18568	131	16	8	8	NUM
ajst-18568	131	17	batteries	battery	NOUN
ajst-18568	131	18	were	be	AUX
ajst-18568	131	19	selected	select	VERB
ajst-18568	131	20	for	for	ADP
ajst-18568	131	21	model	model	NOUN
ajst-18568	131	22	construction	construction	NOUN
ajst-18568	131	23	and	and	CCONJ
ajst-18568	131	24	validation	validation	NOUN
ajst-18568	131	25	,	,	PUNCT
ajst-18568	131	26	designated	designate	VERB
ajst-18568	131	27	as	as	ADP
ajst-18568	131	28	n1	n1	NOUN
ajst-18568	131	29	-	-	PUNCT
ajst-18568	131	30	n8	n8	NOUN
ajst-18568	131	31	.	.	PUNCT
ajst-18568	132	1	these	these	DET
ajst-18568	132	2	batteries	battery	NOUN
ajst-18568	132	3	have	have	VERB
ajst-18568	132	4	a	a	DET
ajst-18568	132	5	rated	rate	VERB
ajst-18568	132	6	capacity	capacity	NOUN
ajst-18568	132	7	of	of	ADP
ajst-18568	132	8	1.1ah	1.1ah	NUM
ajst-18568	132	9	and	and	CCONJ
ajst-18568	132	10	a	a	DET
ajst-18568	132	11	rated	rate	VERB
ajst-18568	132	12	voltage	voltage	NOUN
ajst-18568	132	13	of	of	ADP
ajst-18568	132	14	3.3v	3.3v	PROPN
ajst-18568	132	15	.	.	PUNCT
ajst-18568	133	1	the	the	DET
ajst-18568	133	2	second	second	ADJ
ajst-18568	133	3	type	type	NOUN
ajst-18568	133	4	of	of	ADP
ajst-18568	133	5	battery	battery	NOUN
ajst-18568	133	6	was	be	AUX
ajst-18568	133	7	sourced	source	VERB
ajst-18568	133	8	from	from	ADP
ajst-18568	133	9	the	the	DET
ajst-18568	133	10	calce	calce	NOUN
ajst-18568	133	11	dataset	dataset	NOUN
ajst-18568	133	12	[	[	X
ajst-18568	133	13	16	16	NUM
ajst-18568	133	14	]	]	PUNCT
ajst-18568	133	15	,	,	PUNCT
ajst-18568	133	16	and	and	CCONJ
ajst-18568	133	17	cs36	cs36	PROPN
ajst-18568	133	18	was	be	AUX
ajst-18568	133	19	chosen	choose	VERB
ajst-18568	133	20	for	for	ADP
ajst-18568	133	21	model	model	NOUN
ajst-18568	133	22	validation	validation	NOUN
ajst-18568	133	23	.	.	PUNCT
ajst-18568	134	1	these	these	DET
ajst-18568	134	2	batteries	battery	NOUN
ajst-18568	134	3	also	also	ADV
ajst-18568	134	4	have	have	VERB
ajst-18568	134	5	a	a	DET
ajst-18568	134	6	rated	rate	VERB
ajst-18568	134	7	capacity	capacity	NOUN
ajst-18568	134	8	of	of	ADP
ajst-18568	134	9	1.1ah	1.1ah	NUM
ajst-18568	134	10	and	and	CCONJ
ajst-18568	134	11	a	a	DET
ajst-18568	134	12	rated	rate	VERB
ajst-18568	134	13	voltage	voltage	NOUN
ajst-18568	134	14	of	of	ADP
ajst-18568	134	15	3.4v	3.4v	NUM
ajst-18568	134	16	.	.	PUNCT
ajst-18568	135	1	3.3	3.3	NUM
ajst-18568	135	2	.	.	PUNCT
ajst-18568	136	1	experimental	experimental	ADJ
ajst-18568	136	2	design	design	NOUN
ajst-18568	136	3	and	and	CCONJ
ajst-18568	136	4	evaluation	evaluation	NOUN
ajst-18568	136	5	criteria	criterion	NOUN
ajst-18568	136	6	in	in	ADP
ajst-18568	136	7	terms	term	NOUN
ajst-18568	136	8	of	of	ADP
ajst-18568	136	9	experimental	experimental	ADJ
ajst-18568	136	10	design	design	NOUN
ajst-18568	136	11	,	,	PUNCT
ajst-18568	136	12	we	we	PRON
ajst-18568	136	13	conducted	conduct	VERB
ajst-18568	136	14	research	research	NOUN
ajst-18568	136	15	on	on	ADP
ajst-18568	136	16	the	the	DET
ajst-18568	136	17	rul	rul	NOUN
ajst-18568	136	18	prediction	prediction	NOUN
ajst-18568	136	19	performance	performance	NOUN
ajst-18568	136	20	of	of	ADP
ajst-18568	136	21	the	the	DET
ajst-18568	136	22	tl	tl	PROPN
ajst-18568	136	23	-	-	PUNCT
ajst-18568	136	24	lstm	lstm	ADJ
ajst-18568	136	25	-	-	PUNCT
ajst-18568	136	26	sim	sim	NOUN
ajst-18568	136	27	model	model	NOUN
ajst-18568	136	28	across	across	ADP
ajst-18568	136	29	three	three	NUM
ajst-18568	136	30	experimental	experimental	ADJ
ajst-18568	136	31	groups	group	NOUN
ajst-18568	136	32	,	,	PUNCT
ajst-18568	136	33	aiming	aim	VERB
ajst-18568	136	34	to	to	PART
ajst-18568	136	35	validate	validate	VERB
ajst-18568	136	36	the	the	DET
ajst-18568	136	37	predictive	predictive	ADJ
ajst-18568	136	38	accuracy	accuracy	NOUN
ajst-18568	136	39	of	of	ADP
ajst-18568	136	40	the	the	DET
ajst-18568	136	41	model	model	NOUN
ajst-18568	136	42	by	by	ADP
ajst-18568	136	43	predicting	predict	VERB
ajst-18568	136	44	different	different	ADJ
ajst-18568	136	45	types	type	NOUN
ajst-18568	136	46	of	of	ADP
ajst-18568	136	47	target	target	NOUN
ajst-18568	136	48	domain	domain	NOUN
ajst-18568	136	49	batteries	battery	NOUN
ajst-18568	136	50	.	.	PUNCT
ajst-18568	137	1	all	all	DET
ajst-18568	137	2	three	three	NUM
ajst-18568	137	3	experimental	experimental	ADJ
ajst-18568	137	4	groups	group	NOUN
ajst-18568	137	5	utilized	utilize	VERB
ajst-18568	137	6	the	the	DET
ajst-18568	137	7	source	source	NOUN
ajst-18568	137	8	domain	domain	NOUN
ajst-18568	137	9	battery	battery	NOUN
ajst-18568	137	10	iterations	iteration	NOUN
ajst-18568	137	11	module	module	NOUN
ajst-18568	137	12	(	(	PUNCT
ajst-18568	137	13	sim	sim	NOUN
ajst-18568	137	14	)	)	PUNCT
ajst-18568	137	15	for	for	ADP
ajst-18568	137	16	pre	pre	VERB
ajst-18568	137	17	-	-	NOUN
ajst-18568	137	18	training	train	VERB
ajst-18568	137	19	the	the	DET
ajst-18568	137	20	lstm	lstm	PROPN
ajst-18568	137	21	model	model	NOUN
ajst-18568	137	22	,	,	PUNCT
ajst-18568	137	23	with	with	ADP
ajst-18568	137	24	the	the	DET
ajst-18568	137	25	construction	construction	NOUN
ajst-18568	137	26	of	of	ADP
ajst-18568	137	27	the	the	DET
ajst-18568	137	28	sim	sim	ADJ
ajst-18568	137	29	module	module	NOUN
ajst-18568	137	30	using	use	VERB
ajst-18568	137	31	the	the	DET
ajst-18568	137	32	n1	n1	NOUN
ajst-18568	137	33	-	-	PUNCT
ajst-18568	137	34	n7	n7	PROPN
ajst-18568	137	35	data	datum	NOUN
ajst-18568	137	36	from	from	ADP
ajst-18568	137	37	the	the	DET
ajst-18568	137	38	mit	mit	NOUN
ajst-18568	137	39	dataset	dataset	NOUN
ajst-18568	137	40	.	.	PUNCT
ajst-18568	138	1	to	to	PART
ajst-18568	138	2	validate	validate	VERB
ajst-18568	138	3	the	the	DET
ajst-18568	138	4	predictive	predictive	ADJ
ajst-18568	138	5	capability	capability	NOUN
ajst-18568	138	6	of	of	ADP
ajst-18568	138	7	the	the	DET
ajst-18568	138	8	sim	sim	ADJ
ajst-18568	138	9	module	module	NOUN
ajst-18568	138	10	across	across	ADP
ajst-18568	138	11	different	different	ADJ
ajst-18568	138	12	types	type	NOUN
ajst-18568	138	13	of	of	ADP
ajst-18568	138	14	batteries	battery	NOUN
ajst-18568	138	15	,	,	PUNCT
ajst-18568	138	16	lithium	lithium	NOUN
ajst-18568	138	17	-	-	PUNCT
ajst-18568	138	18	ion	ion	NOUN
ajst-18568	138	19	batteries	battery	NOUN
ajst-18568	138	20	from	from	ADP
ajst-18568	138	21	two	two	NUM
ajst-18568	138	22	categories	category	NOUN
ajst-18568	138	23	of	of	ADP
ajst-18568	138	24	datasets	dataset	NOUN
ajst-18568	138	25	were	be	AUX
ajst-18568	138	26	selected	select	VERB
ajst-18568	138	27	as	as	ADP
ajst-18568	138	28	the	the	DET
ajst-18568	138	29	target	target	NOUN
ajst-18568	138	30	domain	domain	NOUN
ajst-18568	138	31	batteries	battery	NOUN
ajst-18568	138	32	.	.	PUNCT
ajst-18568	139	1	the	the	DET
ajst-18568	139	2	specific	specific	ADJ
ajst-18568	139	3	configurations	configuration	NOUN
ajst-18568	139	4	of	of	ADP
ajst-18568	139	5	the	the	DET
ajst-18568	139	6	experimental	experimental	ADJ
ajst-18568	139	7	groups	group	NOUN
ajst-18568	139	8	are	be	AUX
ajst-18568	139	9	shown	show	VERB
ajst-18568	139	10	in	in	ADP
ajst-18568	139	11	table	table	NOUN
ajst-18568	139	12	1	1	NUM
ajst-18568	139	13	.	.	PUNCT
ajst-18568	140	1	in	in	ADP
ajst-18568	140	2	experiment	experiment	NOUN
ajst-18568	140	3	group	group	NOUN
ajst-18568	140	4	1	1	NUM
ajst-18568	140	5	,	,	PUNCT
ajst-18568	140	6	the	the	DET
ajst-18568	140	7	target	target	NOUN
ajst-18568	140	8	domain	domain	NOUN
ajst-18568	140	9	battery	battery	NOUN
ajst-18568	140	10	n8	n8	PROPN
ajst-18568	140	11	originates	originate	NOUN
ajst-18568	140	12	from	from	ADP
ajst-18568	140	13	the	the	DET
ajst-18568	140	14	same	same	ADJ
ajst-18568	140	15	dataset	dataset	NOUN
ajst-18568	140	16	as	as	ADP
ajst-18568	140	17	the	the	DET
ajst-18568	140	18	batteries	battery	NOUN
ajst-18568	140	19	used	use	VERB
ajst-18568	140	20	in	in	ADP
ajst-18568	140	21	constructing	construct	VERB
ajst-18568	140	22	the	the	DET
ajst-18568	140	23	sim	sim	ADJ
ajst-18568	140	24	module	module	NOUN
ajst-18568	140	25	.	.	PUNCT
ajst-18568	141	1	in	in	ADP
ajst-18568	141	2	existing	exist	VERB
ajst-18568	141	3	studies	study	NOUN
ajst-18568	141	4	,	,	PUNCT
ajst-18568	141	5	the	the	DET
ajst-18568	141	6	rul	rul	NOUN
ajst-18568	141	7	prediction	prediction	NOUN
ajst-18568	141	8	starting	starting	NOUN
ajst-18568	141	9	point	point	NOUN
ajst-18568	141	10	is	be	AUX
ajst-18568	141	11	typically	typically	ADV
ajst-18568	141	12	set	set	VERB
ajst-18568	141	13	at	at	ADP
ajst-18568	141	14	either	either	CCONJ
ajst-18568	141	15	30	30	NUM
ajst-18568	141	16	%	%	NOUN
ajst-18568	141	17	or	or	CCONJ
ajst-18568	141	18	50	50	NUM
ajst-18568	141	19	%	%	NOUN
ajst-18568	141	20	of	of	ADP
ajst-18568	141	21	the	the	DET
ajst-18568	141	22	capacity	capacity	NOUN
ajst-18568	141	23	data	datum	NOUN
ajst-18568	141	24	[	[	X
ajst-18568	141	25	11	11	NUM
ajst-18568	141	26	]	]	PUNCT
ajst-18568	141	27	.	.	PUNCT
ajst-18568	142	1	to	to	PART
ajst-18568	142	2	further	far	ADV
ajst-18568	142	3	test	test	VERB
ajst-18568	142	4	the	the	DET
ajst-18568	142	5	model	model	NOUN
ajst-18568	142	6	's	's	PART
ajst-18568	142	7	rul	rul	NOUN
ajst-18568	142	8	prediction	prediction	NOUN
ajst-18568	142	9	performance	performance	NOUN
ajst-18568	142	10	during	during	ADP
ajst-18568	142	11	the	the	DET
ajst-18568	142	12	early	early	ADJ
ajst-18568	142	13	degradation	degradation	NOUN
ajst-18568	142	14	stages	stage	NOUN
ajst-18568	142	15	of	of	ADP
ajst-18568	142	16	batteries	battery	NOUN
ajst-18568	142	17	,	,	PUNCT
ajst-18568	142	18	we	we	PRON
ajst-18568	142	19	selected	select	VERB
ajst-18568	142	20	the	the	DET
ajst-18568	142	21	20	20	NUM
ajst-18568	142	22	%	%	NOUN
ajst-18568	142	23	,	,	PUNCT
ajst-18568	142	24	30	30	NUM
ajst-18568	142	25	%	%	NOUN
ajst-18568	142	26	,	,	PUNCT
ajst-18568	142	27	and	and	CCONJ
ajst-18568	142	28	50	50	NUM
ajst-18568	142	29	%	%	NOUN
ajst-18568	142	30	capacity	capacity	NOUN
ajst-18568	142	31	data	datum	NOUN
ajst-18568	142	32	points	point	NOUN
ajst-18568	142	33	of	of	ADP
ajst-18568	142	34	the	the	DET
ajst-18568	142	35	target	target	NOUN
ajst-18568	142	36	domain	domain	NOUN
ajst-18568	142	37	battery	battery	NOUN
ajst-18568	142	38	as	as	ADP
ajst-18568	142	39	the	the	DET
ajst-18568	142	40	prediction	prediction	NOUN
ajst-18568	142	41	starting	start	VERB
ajst-18568	142	42	points	point	NOUN
ajst-18568	142	43	.	.	PUNCT
ajst-18568	143	1	the	the	DET
ajst-18568	143	2	prediction	prediction	NOUN
ajst-18568	143	3	starting	start	VERB
ajst-18568	143	4	points	point	NOUN
ajst-18568	143	5	for	for	ADP
ajst-18568	143	6	each	each	DET
ajst-18568	143	7	category	category	NOUN
ajst-18568	143	8	of	of	ADP
ajst-18568	143	9	target	target	NOUN
ajst-18568	143	10	domain	domain	NOUN
ajst-18568	143	11	batteries	battery	NOUN
ajst-18568	143	12	are	be	AUX
ajst-18568	143	13	presented	present	VERB
ajst-18568	143	14	in	in	ADP
ajst-18568	143	15	table	table	NOUN
ajst-18568	143	16	2	2	NUM
ajst-18568	143	17	.	.	PUNCT
ajst-18568	143	18	table	table	NOUN
ajst-18568	143	19	1	1	NUM
ajst-18568	143	20	.	.	PUNCT
ajst-18568	143	21	experimental	experimental	ADJ
ajst-18568	143	22	groups	group	NOUN
ajst-18568	143	23	of	of	ADP
ajst-18568	143	24	source	source	NOUN
ajst-18568	143	25	-	-	PUNCT
ajst-18568	143	26	domain	domain	NOUN
ajst-18568	143	27	batteries	battery	NOUN
ajst-18568	143	28	and	and	CCONJ
ajst-18568	143	29	target	target	NOUN
ajst-18568	143	30	-	-	PUNCT
ajst-18568	143	31	domain	domain	NOUN
ajst-18568	143	32	batteries	battery	NOUN
ajst-18568	143	33	.	.	PUNCT
ajst-18568	144	1	experimental	experimental	ADJ
ajst-18568	144	2	group	group	PROPN
ajst-18568	144	3	source	source	NOUN
ajst-18568	144	4	domain	domain	NOUN
ajst-18568	144	5	battery	battery	NOUN
ajst-18568	144	6	target	target	NOUN
ajst-18568	144	7	domain	domain	NOUN
ajst-18568	144	8	battery	battery	NOUN
ajst-18568	144	9	1	1	NUM
ajst-18568	144	10	source	source	NOUN
ajst-18568	144	11	domain	domain	NOUN
ajst-18568	144	12	battery	battery	NOUN
ajst-18568	144	13	selection	selection	NOUN
ajst-18568	144	14	module	module	NOUN
ajst-18568	144	15	(	(	PUNCT
ajst-18568	144	16	sim	sim	ADJ
ajst-18568	144	17	)	)	PUNCT
ajst-18568	144	18	n8	n8	NOUN
ajst-18568	144	19	2	2	NUM
ajst-18568	144	20	source	source	NOUN
ajst-18568	144	21	domain	domain	NOUN
ajst-18568	144	22	battery	battery	NOUN
ajst-18568	144	23	selection	selection	NOUN
ajst-18568	144	24	module	module	NOUN
ajst-18568	144	25	(	(	PUNCT
ajst-18568	144	26	sim	sim	ADJ
ajst-18568	144	27	)	)	PUNCT
ajst-18568	144	28	cs36	cs36	PROPN
ajst-18568	144	29	table	table	NOUN
ajst-18568	144	30	2	2	NUM
ajst-18568	144	31	.	.	PUNCT
ajst-18568	144	32	settings	setting	NOUN
ajst-18568	144	33	of	of	ADP
ajst-18568	144	34	start	start	ADJ
ajst-18568	144	35	points	point	NOUN
ajst-18568	144	36	for	for	ADP
ajst-18568	144	37	each	each	DET
ajst-18568	144	38	stage	stage	NOUN
ajst-18568	144	39	.	.	PUNCT
ajst-18568	145	1	starting	start	VERB
ajst-18568	145	2	point	point	NOUN
ajst-18568	145	3	of	of	ADP
ajst-18568	145	4	prediction	prediction	NOUN
ajst-18568	145	5	n8	n8	PROPN
ajst-18568	145	6	cs36	cs36	PROPN
ajst-18568	145	7	20	20	NUM
ajst-18568	145	8	%	%	NOUN
ajst-18568	145	9	200	200	NUM
ajst-18568	145	10	200	200	NUM
ajst-18568	145	11	30	30	NUM
ajst-18568	145	12	%	%	NOUN
ajst-18568	145	13	300	300	NUM
ajst-18568	145	14	300	300	NUM
ajst-18568	145	15	50	50	NUM
ajst-18568	145	16	%	%	NOUN
ajst-18568	145	17	400	400	NUM
ajst-18568	145	18	400	400	NUM
ajst-18568	145	19	to	to	PART
ajst-18568	145	20	evaluate	evaluate	VERB
ajst-18568	145	21	the	the	DET
ajst-18568	145	22	predictive	predictive	ADJ
ajst-18568	145	23	accuracy	accuracy	NOUN
ajst-18568	145	24	of	of	ADP
ajst-18568	145	25	the	the	DET
ajst-18568	145	26	model	model	NOUN
ajst-18568	145	27	,	,	PUNCT
ajst-18568	145	28	root	root	NOUN
ajst-18568	145	29	mean	mean	VERB
ajst-18568	145	30	square	square	ADJ
ajst-18568	145	31	error	error	NOUN
ajst-18568	145	32	(	(	PUNCT
ajst-18568	145	33	rmse	rmse	NOUN
ajst-18568	145	34	)	)	PUNCT
ajst-18568	145	35	,	,	PUNCT
ajst-18568	145	36	mean	mean	VERB
ajst-18568	145	37	absolute	absolute	ADJ
ajst-18568	145	38	error	error	NOUN
ajst-18568	145	39	(	(	PUNCT
ajst-18568	145	40	mae	mae	PROPN
ajst-18568	145	41	)	)	PUNCT
ajst-18568	145	42	,	,	PUNCT
ajst-18568	145	43	and	and	CCONJ
ajst-18568	145	44	absolute	absolute	ADJ
ajst-18568	145	45	error	error	NOUN
ajst-18568	145	46	of	of	ADP
ajst-18568	145	47	the	the	DET
ajst-18568	145	48	rul	rul	NOUN
ajst-18568	145	49	prediction	prediction	NOUN
ajst-18568	145	50	(	(	PUNCT
ajst-18568	145	51	𝑅𝑈𝐿	𝑅𝑈𝐿	ADV
ajst-18568	145	52	)	)	PUNCT
ajst-18568	145	53	are	be	AUX
ajst-18568	145	54	utilized	utilize	VERB
ajst-18568	145	55	as	as	ADP
ajst-18568	145	56	performance	performance	NOUN
ajst-18568	145	57	metrics	metric	NOUN
ajst-18568	145	58	for	for	ADP
ajst-18568	145	59	assessing	assess	VERB
ajst-18568	145	60	both	both	CCONJ
ajst-18568	145	61	the	the	DET
ajst-18568	145	62	capacity	capacity	NOUN
ajst-18568	145	63	prediction	prediction	NOUN
ajst-18568	145	64	curve	curve	NOUN
ajst-18568	145	65	and	and	CCONJ
ajst-18568	145	66	rul	rul	NOUN
ajst-18568	145	67	prediction	prediction	NOUN
ajst-18568	145	68	values	value	NOUN
ajst-18568	145	69	.	.	PUNCT
ajst-18568	146	1	the	the	DET
ajst-18568	146	2	formulas	formula	NOUN
ajst-18568	146	3	are	be	AUX
ajst-18568	146	4	as	as	SCONJ
ajst-18568	146	5	follows	follow	VERB
ajst-18568	146	6	:	:	PUNCT
ajst-18568	146	7	𝑅𝑀𝑆𝐸	𝑅𝑀𝑆𝐸	NOUN
ajst-18568	146	8	∑	∑	PROPN
ajst-18568	146	9	𝑦	𝑦	X
ajst-18568	146	10	𝑦	𝑦	X
ajst-18568	146	11	(	(	PUNCT
ajst-18568	146	12	10	10	NUM
ajst-18568	146	13	)	)	PUNCT
ajst-18568	146	14	𝑀𝐴𝐸	𝑀𝐴𝐸	PROPN
ajst-18568	146	15	∑	∑	PUNCT
ajst-18568	146	16	|𝑦	|𝑦	PROPN
ajst-18568	146	17	𝑦	𝑦	PROPN
ajst-18568	146	18	|	|	NOUN
ajst-18568	146	19	(	(	PUNCT
ajst-18568	146	20	11	11	NUM
ajst-18568	146	21	)	)	PUNCT
ajst-18568	146	22	𝑅𝑈𝐿	𝑅𝑈𝐿	ADV
ajst-18568	146	23	𝑅𝑈𝐿	𝑅𝑈𝐿	ADV
ajst-18568	146	24	𝑅𝑈𝐿	𝑅𝑈𝐿	PROPN
ajst-18568	146	25	(	(	PUNCT
ajst-18568	146	26	12	12	NUM
ajst-18568	146	27	)	)	PUNCT
ajst-18568	146	28	in	in	ADP
ajst-18568	146	29	the	the	DET
ajst-18568	146	30	equation	equation	NOUN
ajst-18568	146	31	,	,	PUNCT
ajst-18568	146	32	n	n	PRON
ajst-18568	146	33	represents	represent	VERB
ajst-18568	146	34	the	the	DET
ajst-18568	146	35	number	number	NOUN
ajst-18568	146	36	of	of	ADP
ajst-18568	146	37	prediction	prediction	NOUN
ajst-18568	146	38	cycles	cycle	NOUN
ajst-18568	146	39	,	,	PUNCT
ajst-18568	146	40	𝑦	𝑦	NOUN
ajst-18568	146	41	denotes	denote	VERB
ajst-18568	146	42	the	the	DET
ajst-18568	146	43	actual	actual	ADJ
ajst-18568	146	44	capacity	capacity	NOUN
ajst-18568	146	45	,	,	PUNCT
ajst-18568	146	46	𝑦	𝑦	PRON
ajst-18568	146	47	represents	represent	VERB
ajst-18568	146	48	the	the	DET
ajst-18568	146	49	predicted	predict	VERB
ajst-18568	146	50	capacity	capacity	NOUN
ajst-18568	146	51	,	,	PUNCT
ajst-18568	146	52	𝑅𝑈𝐿	𝑅𝑈𝐿	ADP
ajst-18568	146	53	denotes	denote	VERB
ajst-18568	146	54	the	the	DET
ajst-18568	146	55	predicted	predict	VERB
ajst-18568	146	56	remaining	remain	VERB
ajst-18568	146	57	useful	useful	ADJ
ajst-18568	146	58	life	life	NOUN
ajst-18568	146	59	(	(	PUNCT
ajst-18568	146	60	rul	rul	NOUN
ajst-18568	146	61	)	)	PUNCT
ajst-18568	146	62	,	,	PUNCT
ajst-18568	146	63	and	and	CCONJ
ajst-18568	146	64	𝑅𝑈𝐿	𝑅𝑈𝐿	ADV
ajst-18568	146	65	represents	represent	VERB
ajst-18568	146	66	the	the	DET
ajst-18568	146	67	actual	actual	ADJ
ajst-18568	146	68	rul	rul	NOUN
ajst-18568	146	69	.	.	PUNCT
ajst-18568	147	1	186	186	NUM
ajst-18568	147	2	4	4	NUM
ajst-18568	147	3	.	.	PUNCT
ajst-18568	147	4	interpretation	interpretation	NOUN
ajst-18568	147	5	to	to	PART
ajst-18568	147	6	validate	validate	VERB
ajst-18568	147	7	the	the	DET
ajst-18568	147	8	predictive	predictive	ADJ
ajst-18568	147	9	performance	performance	NOUN
ajst-18568	147	10	of	of	ADP
ajst-18568	147	11	the	the	DET
ajst-18568	147	12	tl	tl	PROPN
ajst-18568	147	13	-	-	PUNCT
ajst-18568	147	14	lstmsim	lstmsim	PROPN
ajst-18568	147	15	model	model	NOUN
ajst-18568	147	16	proposed	propose	VERB
ajst-18568	147	17	in	in	ADP
ajst-18568	147	18	this	this	DET
ajst-18568	147	19	paper	paper	NOUN
ajst-18568	147	20	,	,	PUNCT
ajst-18568	147	21	we	we	PRON
ajst-18568	147	22	selected	select	VERB
ajst-18568	147	23	three	three	NUM
ajst-18568	147	24	rul	rul	NOUN
ajst-18568	147	25	prediction	prediction	NOUN
ajst-18568	147	26	models	model	NOUN
ajst-18568	147	27	,	,	PUNCT
ajst-18568	147	28	namely	namely	ADV
ajst-18568	147	29	lstm	lstm	ADJ
ajst-18568	147	30	,	,	PUNCT
ajst-18568	147	31	ceemdan	ceemdan	NOUN
ajst-18568	147	32	-	-	PUNCT
ajst-18568	147	33	lstm	lstm	NOUN
ajst-18568	147	34	[	[	X
ajst-18568	147	35	11	11	NUM
ajst-18568	147	36	]	]	PUNCT
ajst-18568	147	37	,	,	PUNCT
ajst-18568	147	38	and	and	CCONJ
ajst-18568	147	39	tl	tl	PROPN
ajst-18568	147	40	-	-	PUNCT
ajst-18568	147	41	lstm	lstm	PROPN
ajst-18568	148	1	[	[	X
ajst-18568	148	2	12	12	NUM
ajst-18568	148	3	]	]	PUNCT
ajst-18568	148	4	,	,	PUNCT
ajst-18568	148	5	to	to	PART
ajst-18568	148	6	jointly	jointly	ADV
ajst-18568	148	7	predict	predict	VERB
ajst-18568	148	8	the	the	DET
ajst-18568	148	9	rul	rul	NOUN
ajst-18568	148	10	of	of	ADP
ajst-18568	148	11	target	target	NOUN
ajst-18568	148	12	domain	domain	NOUN
ajst-18568	148	13	batteries	battery	NOUN
ajst-18568	148	14	in	in	ADP
ajst-18568	148	15	the	the	DET
ajst-18568	148	16	three	three	NUM
ajst-18568	148	17	experimental	experimental	ADJ
ajst-18568	148	18	groups	group	NOUN
ajst-18568	148	19	listed	list	VERB
ajst-18568	148	20	in	in	ADP
ajst-18568	148	21	table	table	NOUN
ajst-18568	148	22	2	2	NUM
ajst-18568	148	23	.	.	PUNCT
ajst-18568	149	1	among	among	ADP
ajst-18568	149	2	them	they	PRON
ajst-18568	149	3	,	,	PUNCT
ajst-18568	149	4	the	the	DET
ajst-18568	149	5	tl	tl	PROPN
ajst-18568	149	6	-	-	PUNCT
ajst-18568	149	7	lstm	lstm	PROPN
ajst-18568	149	8	algorithm	algorithm	NOUN
ajst-18568	149	9	only	only	ADV
ajst-18568	149	10	utilizes	utilize	VERB
ajst-18568	149	11	a	a	DET
ajst-18568	149	12	single	single	ADJ
ajst-18568	149	13	target	target	NOUN
ajst-18568	149	14	domain	domain	NOUN
ajst-18568	149	15	battery	battery	NOUN
ajst-18568	149	16	for	for	ADP
ajst-18568	149	17	pre	pre	ADJ
ajst-18568	149	18	-	-	NOUN
ajst-18568	149	19	training[13	training[13	NOUN
ajst-18568	149	20	]	]	X
ajst-18568	149	21	,	,	PUNCT
ajst-18568	149	22	while	while	SCONJ
ajst-18568	149	23	the	the	DET
ajst-18568	149	24	model	model	NOUN
ajst-18568	149	25	proposed	propose	VERB
ajst-18568	149	26	in	in	ADP
ajst-18568	149	27	this	this	DET
ajst-18568	149	28	paper	paper	NOUN
ajst-18568	149	29	utilizes	utilize	VERB
ajst-18568	149	30	the	the	DET
ajst-18568	149	31	sim	sim	ADJ
ajst-18568	149	32	module	module	NOUN
ajst-18568	149	33	for	for	ADP
ajst-18568	149	34	pretraining	pretraine	VERB
ajst-18568	149	35	.	.	PUNCT
ajst-18568	150	1	each	each	DET
ajst-18568	150	2	model	model	NOUN
ajst-18568	150	3	predicts	predict	VERB
ajst-18568	150	4	the	the	DET
ajst-18568	150	5	rul	rul	NOUN
ajst-18568	150	6	at	at	ADP
ajst-18568	150	7	three	three	NUM
ajst-18568	150	8	prediction	prediction	NOUN
ajst-18568	150	9	starting	start	VERB
ajst-18568	150	10	points	point	NOUN
ajst-18568	150	11	of	of	ADP
ajst-18568	150	12	20	20	NUM
ajst-18568	150	13	%	%	NOUN
ajst-18568	150	14	,	,	PUNCT
ajst-18568	150	15	30	30	NUM
ajst-18568	150	16	%	%	NOUN
ajst-18568	150	17	,	,	PUNCT
ajst-18568	150	18	and	and	CCONJ
ajst-18568	150	19	50	50	NUM
ajst-18568	150	20	%	%	NOUN
ajst-18568	150	21	for	for	ADP
ajst-18568	150	22	lithium	lithium	NOUN
ajst-18568	150	23	-	-	PUNCT
ajst-18568	150	24	ion	ion	NOUN
ajst-18568	150	25	batteries	battery	NOUN
ajst-18568	150	26	,	,	PUNCT
ajst-18568	150	27	and	and	CCONJ
ajst-18568	150	28	the	the	DET
ajst-18568	150	29	prediction	prediction	NOUN
ajst-18568	150	30	results	result	NOUN
ajst-18568	150	31	are	be	AUX
ajst-18568	150	32	compared	compare	VERB
ajst-18568	150	33	and	and	CCONJ
ajst-18568	150	34	analyzed	analyze	VERB
ajst-18568	150	35	using	use	VERB
ajst-18568	150	36	three	three	NUM
ajst-18568	150	37	accuracy	accuracy	NOUN
ajst-18568	150	38	metrics	metric	NOUN
ajst-18568	150	39	:	:	PUNCT
ajst-18568	151	1	rmse	rmse	PROPN
ajst-18568	151	2	,	,	PUNCT
ajst-18568	151	3	mae	mae	PROPN
ajst-18568	151	4	,	,	PUNCT
ajst-18568	151	5	and	and	CCONJ
ajst-18568	151	6	ruler	ruler	NOUN
ajst-18568	151	7	.	.	PUNCT
ajst-18568	152	1	as	as	SCONJ
ajst-18568	152	2	shown	show	VERB
ajst-18568	152	3	in	in	ADP
ajst-18568	152	4	figure	figure	NOUN
ajst-18568	152	5	6	6	NUM
ajst-18568	152	6	and	and	CCONJ
ajst-18568	152	7	table	table	NOUN
ajst-18568	152	8	4	4	NUM
ajst-18568	152	9	,	,	PUNCT
ajst-18568	152	10	the	the	DET
ajst-18568	152	11	prediction	prediction	NOUN
ajst-18568	152	12	results	result	NOUN
ajst-18568	152	13	of	of	ADP
ajst-18568	152	14	each	each	DET
ajst-18568	152	15	model	model	NOUN
ajst-18568	152	16	for	for	ADP
ajst-18568	152	17	experiment	experiment	NOUN
ajst-18568	152	18	group	group	NOUN
ajst-18568	152	19	1	1	NUM
ajst-18568	152	20	are	be	AUX
ajst-18568	152	21	displayed	display	VERB
ajst-18568	152	22	,	,	PUNCT
ajst-18568	152	23	where	where	SCONJ
ajst-18568	152	24	the	the	DET
ajst-18568	152	25	battery	battery	NOUN
ajst-18568	152	26	types	type	NOUN
ajst-18568	152	27	in	in	ADP
ajst-18568	152	28	both	both	PRON
ajst-18568	152	29	source	source	NOUN
ajst-18568	152	30	and	and	CCONJ
ajst-18568	152	31	target	target	NOUN
ajst-18568	152	32	domains	domain	NOUN
ajst-18568	152	33	are	be	AUX
ajst-18568	152	34	identical	identical	ADJ
ajst-18568	152	35	.	.	PUNCT
ajst-18568	153	1	it	it	PRON
ajst-18568	153	2	is	be	AUX
ajst-18568	153	3	noteworthy	noteworthy	ADJ
ajst-18568	153	4	that	that	SCONJ
ajst-18568	153	5	the	the	DET
ajst-18568	153	6	aging	age	VERB
ajst-18568	153	7	experiment	experiment	NOUN
ajst-18568	153	8	of	of	ADP
ajst-18568	153	9	the	the	DET
ajst-18568	153	10	mit	mit	PROPN
ajst-18568	153	11	battery	battery	NOUN
ajst-18568	153	12	was	be	AUX
ajst-18568	153	13	terminated	terminate	VERB
ajst-18568	153	14	near	near	ADP
ajst-18568	153	15	the	the	DET
ajst-18568	153	16	failure	failure	NOUN
ajst-18568	153	17	threshold	threshold	NOUN
ajst-18568	153	18	.	.	PUNCT
ajst-18568	154	1	therefore	therefore	ADV
ajst-18568	154	2	,	,	PUNCT
ajst-18568	154	3	if	if	SCONJ
ajst-18568	154	4	the	the	DET
ajst-18568	154	5	predicted	predict	VERB
ajst-18568	154	6	values	value	NOUN
ajst-18568	154	7	fail	fail	VERB
ajst-18568	154	8	to	to	PART
ajst-18568	154	9	decrease	decrease	VERB
ajst-18568	154	10	to	to	ADP
ajst-18568	154	11	the	the	DET
ajst-18568	154	12	failure	failure	NOUN
ajst-18568	154	13	threshold	threshold	NOUN
ajst-18568	154	14	in	in	ADP
ajst-18568	154	15	a	a	DET
ajst-18568	154	16	timely	timely	ADJ
ajst-18568	154	17	manner	manner	NOUN
ajst-18568	154	18	during	during	ADP
ajst-18568	154	19	capacity	capacity	NOUN
ajst-18568	154	20	prediction	prediction	NOUN
ajst-18568	154	21	,	,	PUNCT
ajst-18568	154	22	it	it	PRON
ajst-18568	154	23	is	be	AUX
ajst-18568	154	24	considered	consider	VERB
ajst-18568	154	25	a	a	DET
ajst-18568	154	26	prediction	prediction	NOUN
ajst-18568	154	27	failure[14	failure[14	NOUN
ajst-18568	154	28	-	-	PUNCT
ajst-18568	154	29	18	18	NUM
ajst-18568	154	30	]	]	PUNCT
ajst-18568	154	31	.	.	PUNCT
ajst-18568	155	1	in	in	ADP
ajst-18568	155	2	figure	figure	NOUN
ajst-18568	155	3	6	6	NUM
ajst-18568	155	4	,	,	PUNCT
ajst-18568	155	5	the	the	DET
ajst-18568	155	6	capacity	capacity	NOUN
ajst-18568	155	7	prediction	prediction	NOUN
ajst-18568	155	8	curves	curve	NOUN
ajst-18568	155	9	of	of	ADP
ajst-18568	155	10	the	the	DET
ajst-18568	155	11	lstm	lstm	PROPN
ajst-18568	155	12	and	and	CCONJ
ajst-18568	155	13	ceemdan	ceemdan	ADJ
ajst-18568	155	14	-	-	PUNCT
ajst-18568	155	15	lstm	lstm	ADJ
ajst-18568	155	16	models	model	NOUN
ajst-18568	155	17	fail	fail	VERB
ajst-18568	155	18	to	to	PART
ajst-18568	155	19	decrease	decrease	VERB
ajst-18568	155	20	to	to	ADP
ajst-18568	155	21	the	the	DET
ajst-18568	155	22	failure	failure	NOUN
ajst-18568	155	23	threshold	threshold	NOUN
ajst-18568	155	24	before	before	ADP
ajst-18568	155	25	battery	battery	NOUN
ajst-18568	155	26	failure	failure	NOUN
ajst-18568	155	27	,	,	PUNCT
ajst-18568	155	28	hence	hence	ADV
ajst-18568	155	29	they	they	PRON
ajst-18568	155	30	are	be	AUX
ajst-18568	155	31	deemed	deem	VERB
ajst-18568	155	32	as	as	ADP
ajst-18568	155	33	prediction	prediction	NOUN
ajst-18568	155	34	failures	failure	NOUN
ajst-18568	155	35	.	.	PUNCT
ajst-18568	156	1	in	in	ADP
ajst-18568	156	2	contrast	contrast	NOUN
ajst-18568	156	3	,	,	PUNCT
ajst-18568	156	4	both	both	PRON
ajst-18568	156	5	tllstm	tllstm	PROPN
ajst-18568	156	6	and	and	CCONJ
ajst-18568	156	7	tl	tl	PROPN
ajst-18568	156	8	-	-	PUNCT
ajst-18568	156	9	lstm	lstm	ADJ
ajst-18568	156	10	-	-	PUNCT
ajst-18568	156	11	sim	sim	NOUN
ajst-18568	156	12	models	model	NOUN
ajst-18568	156	13	successfully	successfully	ADV
ajst-18568	156	14	predict	predict	VERB
ajst-18568	156	15	the	the	DET
ajst-18568	156	16	rul	rul	NOUN
ajst-18568	156	17	,	,	PUNCT
ajst-18568	156	18	with	with	ADP
ajst-18568	156	19	the	the	DET
ajst-18568	156	20	prediction	prediction	NOUN
ajst-18568	156	21	curve	curve	NOUN
ajst-18568	156	22	of	of	ADP
ajst-18568	156	23	tl	tl	PROPN
ajst-18568	156	24	-	-	PUNCT
ajst-18568	156	25	lstm	lstm	ADJ
ajst-18568	156	26	-	-	PUNCT
ajst-18568	156	27	sim	sim	NOUN
ajst-18568	156	28	being	be	AUX
ajst-18568	156	29	closer	close	ADJ
ajst-18568	156	30	to	to	ADP
ajst-18568	156	31	the	the	DET
ajst-18568	156	32	actual	actual	ADJ
ajst-18568	156	33	curve	curve	NOUN
ajst-18568	156	34	.	.	PUNCT
ajst-18568	157	1	in	in	ADP
ajst-18568	157	2	table	table	NOUN
ajst-18568	157	3	4	4	NUM
ajst-18568	157	4	,	,	PUNCT
ajst-18568	157	5	the	the	DET
ajst-18568	157	6	rul	rul	NOUN
ajst-18568	157	7	prediction	prediction	NOUN
ajst-18568	157	8	fails	fail	VERB
ajst-18568	157	9	for	for	ADP
ajst-18568	157	10	the	the	DET
ajst-18568	157	11	lstm	lstm	PROPN
ajst-18568	157	12	and	and	CCONJ
ajst-18568	157	13	ceemdan	ceemdan	ADJ
ajst-18568	157	14	-	-	PUNCT
ajst-18568	157	15	lstm	lstm	ADJ
ajst-18568	157	16	models	model	NOUN
ajst-18568	157	17	,	,	PUNCT
ajst-18568	157	18	while	while	SCONJ
ajst-18568	157	19	the	the	DET
ajst-18568	157	20	ruler	ruler	NOUN
ajst-18568	157	21	(	(	PUNCT
ajst-18568	157	22	remaining	remain	VERB
ajst-18568	157	23	useful	useful	ADJ
ajst-18568	157	24	life	life	NOUN
ajst-18568	157	25	error	error	NOUN
ajst-18568	157	26	)	)	PUNCT
ajst-18568	157	27	for	for	ADP
ajst-18568	157	28	tl	tl	PROPN
ajst-18568	157	29	-	-	PUNCT
ajst-18568	157	30	lstm	lstm	PROPN
ajst-18568	157	31	and	and	CCONJ
ajst-18568	157	32	tllstm	tllstm	NOUN
ajst-18568	157	33	-	-	PUNCT
ajst-18568	157	34	sim	sim	NOUN
ajst-18568	157	35	are	be	AUX
ajst-18568	157	36	both	both	ADV
ajst-18568	157	37	less	less	ADJ
ajst-18568	157	38	than	than	ADP
ajst-18568	157	39	3	3	NUM
ajst-18568	157	40	.	.	PUNCT
ajst-18568	158	1	furthermore	furthermore	ADV
ajst-18568	158	2	,	,	PUNCT
ajst-18568	158	3	the	the	DET
ajst-18568	158	4	root	root	NOUN
ajst-18568	158	5	mean	mean	VERB
ajst-18568	158	6	square	square	ADJ
ajst-18568	158	7	error	error	NOUN
ajst-18568	158	8	(	(	PUNCT
ajst-18568	158	9	rmse	rmse	NOUN
ajst-18568	158	10	)	)	PUNCT
ajst-18568	158	11	of	of	ADP
ajst-18568	158	12	the	the	DET
ajst-18568	158	13	tl	tl	PROPN
ajst-18568	158	14	-	-	PUNCT
ajst-18568	158	15	lstm	lstm	ADJ
ajst-18568	158	16	-	-	PUNCT
ajst-18568	158	17	sim	sim	ADJ
ajst-18568	158	18	model	model	NOUN
ajst-18568	158	19	is	be	AUX
ajst-18568	158	20	significantly	significantly	ADV
ajst-18568	158	21	lower	low	ADJ
ajst-18568	158	22	than	than	ADP
ajst-18568	158	23	that	that	PRON
ajst-18568	158	24	of	of	ADP
ajst-18568	158	25	other	other	ADJ
ajst-18568	158	26	models	model	NOUN
ajst-18568	158	27	,	,	PUNCT
ajst-18568	158	28	demonstrating	demonstrate	VERB
ajst-18568	158	29	superior	superior	ADJ
ajst-18568	158	30	performance	performance	NOUN
ajst-18568	158	31	.	.	PUNCT
ajst-18568	159	1	(	(	PUNCT
ajst-18568	159	2	a	a	X
ajst-18568	159	3	)	)	PUNCT
ajst-18568	159	4	n8	n8	PROPN
ajst-18568	159	5	battery	battery	NOUN
ajst-18568	159	6	,	,	PUNCT
ajst-18568	159	7	sp=200（20	sp=200（20	PROPN
ajst-18568	159	8	%	%	NOUN
ajst-18568	159	9	）	）	PUNCT
ajst-18568	159	10	(	(	PUNCT
ajst-18568	159	11	b	b	X
ajst-18568	159	12	)	)	PUNCT
ajst-18568	159	13	n8	n8	PROPN
ajst-18568	159	14	battery	battery	NOUN
ajst-18568	159	15	,	,	PUNCT
ajst-18568	159	16	sp=300（30	sp=300（30	PROPN
ajst-18568	159	17	%	%	NOUN
ajst-18568	159	18	）	）	PUNCT
ajst-18568	160	1	(	(	PUNCT
ajst-18568	160	2	c)n8	c)n8	PROPN
ajst-18568	160	3	battery	battery	NOUN
ajst-18568	160	4	,	,	PUNCT
ajst-18568	160	5	sp=400（50	sp=400（50	PROPN
ajst-18568	160	6	%	%	NOUN
ajst-18568	160	7	）	）	PUNCT
ajst-18568	160	8	figure	figure	NOUN
ajst-18568	160	9	7	7	NUM
ajst-18568	160	10	.	.	PUNCT
ajst-18568	161	1	the	the	DET
ajst-18568	161	2	capacity	capacity	NOUN
ajst-18568	161	3	prediction	prediction	NOUN
ajst-18568	161	4	curves	curve	NOUN
ajst-18568	161	5	for	for	ADP
ajst-18568	161	6	experimental	experimental	ADJ
ajst-18568	161	7	group	group	NOUN
ajst-18568	161	8	1	1	NUM
ajst-18568	161	9	.	.	PUNCT
ajst-18568	161	10	table	table	NOUN
ajst-18568	161	11	3	3	NUM
ajst-18568	161	12	.	.	PUNCT
ajst-18568	161	13	prediction	prediction	NOUN
ajst-18568	161	14	results	result	NOUN
ajst-18568	161	15	of	of	ADP
ajst-18568	161	16	experimental	experimental	ADJ
ajst-18568	161	17	group	group	NOUN
ajst-18568	161	18	1	1	NUM
ajst-18568	161	19	under	under	ADP
ajst-18568	161	20	different	different	ADJ
ajst-18568	161	21	prediction	prediction	NOUN
ajst-18568	161	22	start	start	NOUN
ajst-18568	161	23	points	point	NOUN
ajst-18568	161	24	.	.	PUNCT
ajst-18568	162	1	module	module	NOUN
ajst-18568	162	2	rmse(ah	rmse(ah	NOUN
ajst-18568	162	3	)	)	PUNCT
ajst-18568	162	4	mae(ah	mae(ah	PROPN
ajst-18568	162	5	)	)	PUNCT
ajst-18568	162	6	rlpr	rlpr	PROPN
ajst-18568	162	7	ruler	ruler	NOUN
ajst-18568	162	8	lstm	lstm	PROPN
ajst-18568	162	9	00037	00037	NUM
ajst-18568	162	10	0.0036	0.0036	NUM
ajst-18568	162	11	ceemdan	ceemdan	ADJ
ajst-18568	162	12	-	-	PUNCT
ajst-18568	162	13	lstm	lstm	PROPN
ajst-18568	162	14	0.0032	0.0032	NUM
ajst-18568	162	15	0.0030	0.0030	NUM
ajst-18568	162	16	20	20	NUM
ajst-18568	162	17	%	%	NOUN
ajst-18568	162	18	tl	tl	PROPN
ajst-18568	162	19	-	-	PUNCT
ajst-18568	162	20	lstm	lstm	ADJ
ajst-18568	162	21	0022	0022	NUM
ajst-18568	162	22	0002	0002	NUM
ajst-18568	162	23	953	953	NUM
ajst-18568	162	24	tl	tl	PROPN
ajst-18568	162	25	-	-	PUNCT
ajst-18568	162	26	lstm	lstm	PROPN
ajst-18568	162	27	-	-	PUNCT
ajst-18568	162	28	sim	sim	NOUN
ajst-18568	162	29	0.0009	0.0009	NUM
ajst-18568	162	30	0.0007	0.0007	NUM
ajst-18568	162	31	51	51	NUM
ajst-18568	162	32	lstm	lstm	NOUN
ajst-18568	162	33	0.0032	0.0032	NUM
ajst-18568	162	34	0.0030	0.0030	NUM
ajst-18568	162	35	ceemdan	ceemdan	PROPN
ajst-18568	162	36	-	-	PUNCT
ajst-18568	162	37	lstm	lstm	ADJ
ajst-18568	162	38	00024	00024	NUM
ajst-18568	162	39	0.0022	0.0022	NUM
ajst-18568	162	40	30	30	NUM
ajst-18568	162	41	%	%	NOUN
ajst-18568	162	42	tl	tl	PROPN
ajst-18568	162	43	-	-	PUNCT
ajst-18568	162	44	lstm	lstm	ADJ
ajst-18568	162	45	0.0015	0.0015	NUM
ajst-18568	162	46	0.0014	0.0014	NUM
ajst-18568	162	47	854	854	NUM
ajst-18568	162	48	tl	tl	PROPN
ajst-18568	162	49	-	-	PUNCT
ajst-18568	162	50	lstm	lstm	PROPN
ajst-18568	162	51	-	-	PUNCT
ajst-18568	162	52	sim	sim	NOUN
ajst-18568	162	53	0.0007	0.0007	NUM
ajst-18568	162	54	0.0006	0.0006	NUM
ajst-18568	162	55	853	853	NUM
ajst-18568	162	56	lstm	lstm	NOUN
ajst-18568	162	57	0.0025	0.0025	NUM
ajst-18568	162	58	0023	0023	NUM
ajst-18568	162	59	ceemdan	ceemdan	ADJ
ajst-18568	162	60	-	-	PUNCT
ajst-18568	162	61	lstm	lstm	PROPN
ajst-18568	162	62	0.0016	0.0016	NUM
ajst-18568	162	63	0.0014	0.0014	NUM
ajst-18568	162	64	50	50	NUM
ajst-18568	162	65	%	%	NOUN
ajst-18568	162	66	tl	tl	PROPN
ajst-18568	162	67	-	-	PUNCT
ajst-18568	162	68	lstm	lstm	PROPN
ajst-18568	162	69	0.0008	0.0008	NUM
ajst-18568	162	70	0.0007	0.0007	NUM
ajst-18568	162	71	54	54	NUM
ajst-18568	162	72	tl	tl	PROPN
ajst-18568	162	73	-	-	PUNCT
ajst-18568	162	74	lstm	lstm	ADJ
ajst-18568	162	75	-	-	PUNCT
ajst-18568	162	76	sim	sim	ADJ
ajst-18568	162	77	0.0004	0.0004	NUM
ajst-18568	162	78	0.0003	0.0003	NUM
ajst-18568	162	79	754	754	NUM
ajst-18568	162	80	2	2	NUM
ajst-18568	162	81	figures	figure	NOUN
ajst-18568	162	82	7	7	NUM
ajst-18568	162	83	and	and	CCONJ
ajst-18568	162	84	8	8	NUM
ajst-18568	162	85	display	display	VERB
ajst-18568	162	86	the	the	DET
ajst-18568	162	87	capacity	capacity	NOUN
ajst-18568	162	88	prediction	prediction	NOUN
ajst-18568	162	89	curves	curve	NOUN
ajst-18568	162	90	for	for	ADP
ajst-18568	162	91	experiment	experiment	NOUN
ajst-18568	162	92	group	group	NOUN
ajst-18568	162	93	2	2	NUM
ajst-18568	162	94	and	and	CCONJ
ajst-18568	162	95	experiment	experiment	NOUN
ajst-18568	162	96	group	group	NOUN
ajst-18568	162	97	3	3	NUM
ajst-18568	162	98	,	,	PUNCT
ajst-18568	162	99	respectively	respectively	ADV
ajst-18568	162	100	.	.	PUNCT
ajst-18568	163	1	from	from	ADP
ajst-18568	163	2	figures	figure	NOUN
ajst-18568	163	3	7(a)-(c	7(a)-(c	NUM
ajst-18568	163	4	)	)	PUNCT
ajst-18568	163	5	,	,	PUNCT
ajst-18568	163	6	it	it	PRON
ajst-18568	163	7	can	can	AUX
ajst-18568	163	8	be	be	AUX
ajst-18568	163	9	observed	observe	VERB
ajst-18568	163	10	that	that	SCONJ
ajst-18568	163	11	in	in	ADP
ajst-18568	163	12	the	the	DET
ajst-18568	163	13	predictions	prediction	NOUN
ajst-18568	163	14	of	of	ADP
ajst-18568	163	15	experiment	experiment	NOUN
ajst-18568	163	16	group	group	NOUN
ajst-18568	163	17	2	2	NUM
ajst-18568	163	18	,	,	PUNCT
ajst-18568	163	19	all	all	DET
ajst-18568	163	20	four	four	NUM
ajst-18568	163	21	models	model	NOUN
ajst-18568	163	22	exhibit	exhibit	VERB
ajst-18568	163	23	relatively	relatively	ADV
ajst-18568	163	24	accurate	accurate	ADJ
ajst-18568	163	25	capacity	capacity	NOUN
ajst-18568	163	26	prediction	prediction	NOUN
ajst-18568	163	27	curves	curve	NOUN
ajst-18568	163	28	.	.	PUNCT
ajst-18568	164	1	particularly	particularly	ADV
ajst-18568	164	2	at	at	ADP
ajst-18568	164	3	the	the	DET
ajst-18568	164	4	20	20	NUM
ajst-18568	164	5	%	%	NOUN
ajst-18568	164	6	prediction	prediction	NOUN
ajst-18568	164	7	starting	starting	NOUN
ajst-18568	164	8	point	point	NOUN
ajst-18568	164	9	,	,	PUNCT
ajst-18568	164	10	the	the	DET
ajst-18568	164	11	tl	tl	PROPN
ajst-18568	164	12	-	-	PUNCT
ajst-18568	164	13	lstm	lstm	PROPN
ajst-18568	164	14	and	and	CCONJ
ajst-18568	164	15	tllstm	tllstm	NOUN
ajst-18568	164	16	-	-	PUNCT
ajst-18568	164	17	sim	sim	ADJ
ajst-18568	164	18	models	model	NOUN
ajst-18568	164	19	demonstrate	demonstrate	VERB
ajst-18568	164	20	the	the	DET
ajst-18568	164	21	best	well	ADV
ajst-18568	164	22	fitting	fitting	ADJ
ajst-18568	164	23	,	,	PUNCT
ajst-18568	164	24	indicating	indicate	VERB
ajst-18568	164	25	that	that	SCONJ
ajst-18568	164	26	the	the	DET
ajst-18568	164	27	tl	tl	PROPN
ajst-18568	164	28	-	-	PUNCT
ajst-18568	164	29	lstm	lstm	ADJ
ajst-18568	164	30	-	-	PUNCT
ajst-18568	164	31	sim	sim	ADJ
ajst-18568	164	32	model	model	NOUN
ajst-18568	164	33	manifests	manifest	VERB
ajst-18568	164	34	its	its	PRON
ajst-18568	164	35	advantages	advantage	NOUN
ajst-18568	164	36	more	more	ADV
ajst-18568	164	37	prominently	prominently	ADV
ajst-18568	164	38	in	in	ADP
ajst-18568	164	39	the	the	DET
ajst-18568	164	40	early	early	ADJ
ajst-18568	164	41	stages	stage	NOUN
ajst-18568	164	42	.	.	PUNCT
ajst-18568	165	1	187	187	NUM
ajst-18568	165	2	(	(	PUNCT
ajst-18568	165	3	a	a	NOUN
ajst-18568	165	4	)	)	PUNCT
ajst-18568	165	5	group	group	NOUN
ajst-18568	165	6	2	2	NUM
ajst-18568	165	7	,	,	PUNCT
ajst-18568	165	8	sp=200（20	sp=200（20	PROPN
ajst-18568	165	9	%	%	NOUN
ajst-18568	165	10	）	）	PUNCT
ajst-18568	165	11	(	(	PUNCT
ajst-18568	165	12	b	b	X
ajst-18568	165	13	)	)	PUNCT
ajst-18568	165	14	group	group	NOUN
ajst-18568	165	15	2	2	NUM
ajst-18568	165	16	,	,	PUNCT
ajst-18568	165	17	sp=300（30	sp=300（30	NOUN
ajst-18568	165	18	%	%	NOUN
ajst-18568	165	19	）	）	PUNCT
ajst-18568	165	20	(	(	PUNCT
ajst-18568	165	21	c	c	X
ajst-18568	165	22	)	)	PUNCT
ajst-18568	165	23	group	group	NOUN
ajst-18568	165	24	2	2	NUM
ajst-18568	165	25	,	,	PUNCT
ajst-18568	165	26	sp=400（50	sp=400（50	PROPN
ajst-18568	165	27	%	%	NOUN
ajst-18568	165	28	）	）	PUNCT
ajst-18568	165	29	figure	figure	NOUN
ajst-18568	165	30	8	8	NUM
ajst-18568	165	31	.	.	PUNCT
ajst-18568	166	1	the	the	DET
ajst-18568	166	2	capacity	capacity	NOUN
ajst-18568	166	3	prediction	prediction	NOUN
ajst-18568	166	4	curves	curve	NOUN
ajst-18568	166	5	for	for	ADP
ajst-18568	166	6	experimental	experimental	ADJ
ajst-18568	166	7	group	group	NOUN
ajst-18568	166	8	2	2	NUM
ajst-18568	166	9	.	.	PUNCT
ajst-18568	167	1	the	the	DET
ajst-18568	167	2	results	result	NOUN
ajst-18568	167	3	above	above	ADP
ajst-18568	167	4	demonstrate	demonstrate	VERB
ajst-18568	167	5	that	that	SCONJ
ajst-18568	167	6	tl	tl	PROPN
ajst-18568	167	7	-	-	PUNCT
ajst-18568	167	8	lstm	lstm	NOUN
ajst-18568	167	9	-	-	PUNCT
ajst-18568	167	10	sim	sim	NOUN
ajst-18568	167	11	achieves	achieve	VERB
ajst-18568	167	12	promising	promise	VERB
ajst-18568	167	13	performance	performance	NOUN
ajst-18568	167	14	in	in	ADP
ajst-18568	167	15	predicting	predict	VERB
ajst-18568	167	16	the	the	DET
ajst-18568	167	17	rul	rul	NOUN
ajst-18568	167	18	of	of	ADP
ajst-18568	167	19	lithium	lithium	NOUN
ajst-18568	167	20	-	-	PUNCT
ajst-18568	167	21	ion	ion	NOUN
ajst-18568	167	22	batteries	battery	NOUN
ajst-18568	167	23	under	under	ADP
ajst-18568	167	24	various	various	ADJ
ajst-18568	167	25	conditions	condition	NOUN
ajst-18568	167	26	.	.	PUNCT
ajst-18568	168	1	particularly	particularly	ADV
ajst-18568	168	2	,	,	PUNCT
ajst-18568	168	3	it	it	PRON
ajst-18568	168	4	maintains	maintain	VERB
ajst-18568	168	5	high	high	ADJ
ajst-18568	168	6	prediction	prediction	NOUN
ajst-18568	168	7	accuracy	accuracy	NOUN
ajst-18568	168	8	when	when	SCONJ
ajst-18568	168	9	dealing	deal	VERB
ajst-18568	168	10	with	with	ADP
ajst-18568	168	11	batteries	battery	NOUN
ajst-18568	168	12	of	of	ADP
ajst-18568	168	13	different	different	ADJ
ajst-18568	168	14	types	type	NOUN
ajst-18568	168	15	.	.	PUNCT
ajst-18568	169	1	to	to	PART
ajst-18568	169	2	further	far	ADV
ajst-18568	169	3	substantiate	substantiate	VERB
ajst-18568	169	4	the	the	DET
ajst-18568	169	5	reliability	reliability	NOUN
ajst-18568	169	6	of	of	ADP
ajst-18568	169	7	tl	tl	PROPN
ajst-18568	169	8	-	-	PUNCT
ajst-18568	169	9	lstm	lstm	NOUN
ajst-18568	169	10	-	-	PUNCT
ajst-18568	169	11	sim	sim	NOUN
ajst-18568	169	12	in	in	ADP
ajst-18568	169	13	predicting	predict	VERB
ajst-18568	169	14	the	the	DET
ajst-18568	169	15	rul	rul	NOUN
ajst-18568	169	16	of	of	ADP
ajst-18568	169	17	lithium	lithium	NOUN
ajst-18568	169	18	-	-	PUNCT
ajst-18568	169	19	ion	ion	NOUN
ajst-18568	169	20	batteries	battery	NOUN
ajst-18568	169	21	,	,	PUNCT
ajst-18568	169	22	this	this	DET
ajst-18568	169	23	study	study	NOUN
ajst-18568	169	24	conducted	conduct	VERB
ajst-18568	169	25	100	100	NUM
ajst-18568	169	26	cycles	cycle	NOUN
ajst-18568	169	27	of	of	ADP
ajst-18568	169	28	experiments	experiment	NOUN
ajst-18568	169	29	for	for	ADP
ajst-18568	169	30	two	two	NUM
ajst-18568	169	31	groups	group	NOUN
ajst-18568	169	32	,	,	PUNCT
ajst-18568	169	33	yielding	yield	VERB
ajst-18568	169	34	the	the	DET
ajst-18568	169	35	final	final	ADJ
ajst-18568	169	36	results	result	NOUN
ajst-18568	169	37	as	as	SCONJ
ajst-18568	169	38	shown	show	VERB
ajst-18568	169	39	in	in	ADP
ajst-18568	169	40	table	table	NOUN
ajst-18568	169	41	4	4	NUM
ajst-18568	169	42	.	.	PUNCT
ajst-18568	169	43	table	table	NOUN
ajst-18568	169	44	4	4	NUM
ajst-18568	169	45	.	.	PUNCT
ajst-18568	169	46	tl	tl	PROPN
ajst-18568	169	47	-	-	PUNCT
ajst-18568	169	48	lstm	lstm	ADJ
ajst-18568	169	49	-	-	PUNCT
ajst-18568	169	50	sim	sim	NOUN
ajst-18568	169	51	model	model	NOUN
ajst-18568	169	52	95	95	NUM
ajst-18568	169	53	%	%	NOUN
ajst-18568	169	54	confidence	confidence	NOUN
ajst-18568	169	55	interval	interval	NOUN
ajst-18568	169	56	prediction	prediction	NOUN
ajst-18568	169	57	results	result	NOUN
ajst-18568	169	58	.	.	PUNCT
ajst-18568	170	1	experimental	experimental	ADJ
ajst-18568	170	2	group	group	NOUN
ajst-18568	170	3	1	1	NUM
ajst-18568	170	4	2	2	NUM
ajst-18568	170	5	starting	starting	NOUN
ajst-18568	170	6	point	point	NOUN
ajst-18568	170	7	of	of	ADP
ajst-18568	170	8	prediction	prediction	NOUN
ajst-18568	170	9	200	200	NUM
ajst-18568	170	10	300	300	NUM
ajst-18568	170	11	400	400	NUM
ajst-18568	170	12	200	200	NUM
ajst-18568	170	13	300	300	NUM
ajst-18568	170	14	400	400	NUM
ajst-18568	170	15	96	96	NUM
ajst-18568	170	16	%	%	NOUN
ajst-18568	170	17	confidence	confidence	NOUN
ajst-18568	170	18	interval	interval	NOUN
ajst-18568	170	19	[	[	X
ajst-18568	170	20	949,954	949,954	X
ajst-18568	170	21	]	]	X
ajst-18568	171	1	[	[	X
ajst-18568	171	2	853,855	853,855	NUM
ajst-18568	171	3	]	]	X
ajst-18568	172	1	[	[	X
ajst-18568	172	2	753,755	753,755	NUM
ajst-18568	172	3	]	]	PUNCT
ajst-18568	173	1	[	[	X
ajst-18568	173	2	280,315	280,315	NUM
ajst-18568	173	3	]	]	X
ajst-18568	174	1	[	[	X
ajst-18568	174	2	180214	180214	NUM
ajst-18568	174	3	]	]	PUNCT
ajst-18568	175	1	[	[	X
ajst-18568	175	2	86,114	86,114	NUM
ajst-18568	175	3	]	]	SYM
ajst-18568	175	4	5	5	NUM
ajst-18568	175	5	.	.	X
ajst-18568	175	6	conclusion	conclusion	NOUN
ajst-18568	175	7	this	this	DET
ajst-18568	175	8	paper	paper	NOUN
ajst-18568	175	9	proposes	propose	VERB
ajst-18568	175	10	a	a	DET
ajst-18568	175	11	tl	tl	PROPN
ajst-18568	175	12	-	-	PUNCT
ajst-18568	175	13	lstm	lstm	ADJ
ajst-18568	175	14	-	-	PUNCT
ajst-18568	175	15	sim	sim	NOUN
ajst-18568	175	16	model	model	NOUN
ajst-18568	175	17	based	base	VERB
ajst-18568	175	18	on	on	ADP
ajst-18568	175	19	transfer	transfer	NOUN
ajst-18568	175	20	learning	learning	NOUN
ajst-18568	175	21	,	,	PUNCT
ajst-18568	175	22	which	which	DET
ajst-18568	175	23	pre	pre	NOUN
ajst-18568	175	24	-	-	NOUN
ajst-18568	175	25	trains	train	VERB
ajst-18568	175	26	the	the	DET
ajst-18568	175	27	lstm	lstm	PROPN
ajst-18568	175	28	model	model	NOUN
ajst-18568	175	29	by	by	ADP
ajst-18568	175	30	constructing	construct	VERB
ajst-18568	175	31	the	the	DET
ajst-18568	175	32	source	source	NOUN
ajst-18568	175	33	domain	domain	NOUN
ajst-18568	175	34	battery	battery	NOUN
ajst-18568	175	35	iterations	iteration	NOUN
ajst-18568	175	36	module	module	NOUN
ajst-18568	175	37	(	(	PUNCT
ajst-18568	175	38	sim	sim	NOUN
ajst-18568	175	39	)	)	PUNCT
ajst-18568	175	40	,	,	PUNCT
ajst-18568	175	41	and	and	CCONJ
ajst-18568	175	42	applies	apply	VERB
ajst-18568	175	43	the	the	DET
ajst-18568	175	44	optimized	optimize	VERB
ajst-18568	175	45	lstm	lstm	NOUN
ajst-18568	175	46	pre	pre	ADJ
ajst-18568	175	47	-	-	ADJ
ajst-18568	175	48	trained	train	VERB
ajst-18568	175	49	model	model	NOUN
ajst-18568	175	50	to	to	PART
ajst-18568	175	51	predict	predict	VERB
ajst-18568	175	52	the	the	DET
ajst-18568	175	53	rul	rul	NOUN
ajst-18568	175	54	of	of	ADP
ajst-18568	175	55	target	target	NOUN
ajst-18568	175	56	domain	domain	NOUN
ajst-18568	175	57	batteries	battery	NOUN
ajst-18568	175	58	.	.	PUNCT
ajst-18568	176	1	recognizing	recognize	VERB
ajst-18568	176	2	the	the	DET
ajst-18568	176	3	limitations	limitation	NOUN
ajst-18568	176	4	of	of	ADP
ajst-18568	176	5	existing	exist	VERB
ajst-18568	176	6	transfer	transfer	NOUN
ajst-18568	176	7	learning	learning	NOUN
ajst-18568	176	8	methods	method	NOUN
ajst-18568	176	9	that	that	PRON
ajst-18568	176	10	solely	solely	ADV
ajst-18568	176	11	rely	rely	VERB
ajst-18568	176	12	on	on	ADP
ajst-18568	176	13	single	single	ADJ
ajst-18568	176	14	-	-	PUNCT
ajst-18568	176	15	source	source	NOUN
ajst-18568	176	16	domain	domain	NOUN
ajst-18568	176	17	battery	battery	NOUN
ajst-18568	176	18	data	datum	NOUN
ajst-18568	176	19	for	for	ADP
ajst-18568	176	20	model	model	NOUN
ajst-18568	176	21	pretraining	pretraine	VERB
ajst-18568	176	22	,	,	PUNCT
ajst-18568	176	23	this	this	DET
ajst-18568	176	24	study	study	NOUN
ajst-18568	176	25	introduces	introduce	VERB
ajst-18568	176	26	the	the	DET
ajst-18568	176	27	sim	sim	ADJ
ajst-18568	176	28	module	module	NOUN
ajst-18568	176	29	to	to	PART
ajst-18568	176	30	enable	enable	VERB
ajst-18568	176	31	iterative	iterative	NOUN
ajst-18568	176	32	training	training	NOUN
ajst-18568	176	33	of	of	ADP
ajst-18568	176	34	the	the	DET
ajst-18568	176	35	lstm	lstm	PROPN
ajst-18568	176	36	model	model	NOUN
ajst-18568	176	37	using	use	VERB
ajst-18568	176	38	data	datum	NOUN
ajst-18568	176	39	from	from	ADP
ajst-18568	176	40	multiple	multiple	ADJ
ajst-18568	176	41	source	source	NOUN
ajst-18568	176	42	domain	domain	NOUN
ajst-18568	176	43	batteries	battery	NOUN
ajst-18568	176	44	.	.	PUNCT
ajst-18568	177	1	subsequently	subsequently	ADV
ajst-18568	177	2	,	,	PUNCT
ajst-18568	177	3	rul	rul	NOUN
ajst-18568	177	4	predictions	prediction	NOUN
ajst-18568	177	5	are	be	AUX
ajst-18568	177	6	conducted	conduct	VERB
ajst-18568	177	7	for	for	ADP
ajst-18568	177	8	batteries	battery	NOUN
ajst-18568	177	9	sourced	source	VERB
ajst-18568	177	10	from	from	ADP
ajst-18568	177	11	three	three	NUM
ajst-18568	177	12	open	open	ADJ
ajst-18568	177	13	datasets	dataset	NOUN
ajst-18568	177	14	,	,	PUNCT
ajst-18568	177	15	with	with	ADP
ajst-18568	177	16	prediction	prediction	NOUN
ajst-18568	177	17	starting	start	VERB
ajst-18568	177	18	points	point	NOUN
ajst-18568	177	19	set	set	VERB
ajst-18568	177	20	at	at	ADP
ajst-18568	177	21	20	20	NUM
ajst-18568	177	22	%	%	NOUN
ajst-18568	177	23	,	,	PUNCT
ajst-18568	177	24	30	30	NUM
ajst-18568	177	25	%	%	NOUN
ajst-18568	177	26	,	,	PUNCT
ajst-18568	177	27	and	and	CCONJ
ajst-18568	177	28	50	50	NUM
ajst-18568	177	29	%	%	NOUN
ajst-18568	177	30	respectively	respectively	ADV
ajst-18568	177	31	.	.	PUNCT
ajst-18568	178	1	compared	compare	VERB
ajst-18568	178	2	with	with	ADP
ajst-18568	178	3	other	other	ADJ
ajst-18568	178	4	models	model	NOUN
ajst-18568	178	5	,	,	PUNCT
ajst-18568	178	6	the	the	DET
ajst-18568	178	7	tl	tl	PROPN
ajst-18568	178	8	-	-	PUNCT
ajst-18568	178	9	lstmsim	lstmsim	NOUN
ajst-18568	178	10	model	model	NOUN
ajst-18568	178	11	demonstrates	demonstrate	VERB
ajst-18568	178	12	superior	superior	ADJ
ajst-18568	178	13	prediction	prediction	NOUN
ajst-18568	178	14	accuracy	accuracy	NOUN
ajst-18568	178	15	across	across	ADP
ajst-18568	178	16	various	various	ADJ
ajst-18568	178	17	battery	battery	NOUN
ajst-18568	178	18	types	type	NOUN
ajst-18568	178	19	,	,	PUNCT
ajst-18568	178	20	particularly	particularly	ADV
ajst-18568	178	21	exhibiting	exhibit	VERB
ajst-18568	178	22	significant	significant	ADJ
ajst-18568	178	23	advantages	advantage	NOUN
ajst-18568	178	24	when	when	SCONJ
ajst-18568	178	25	predicting	predict	VERB
ajst-18568	178	26	from	from	ADP
ajst-18568	178	27	a	a	DET
ajst-18568	178	28	20	20	NUM
ajst-18568	178	29	%	%	NOUN
ajst-18568	178	30	starting	starting	NOUN
ajst-18568	178	31	point	point	NOUN
ajst-18568	178	32	.	.	PUNCT
ajst-18568	179	1	the	the	DET
ajst-18568	179	2	specific	specific	ADJ
ajst-18568	179	3	conclusions	conclusion	NOUN
ajst-18568	179	4	are	be	AUX
ajst-18568	179	5	as	as	SCONJ
ajst-18568	179	6	follows	follow	VERB
ajst-18568	179	7	:	:	PUNCT
ajst-18568	179	8	the	the	DET
ajst-18568	179	9	proposed	propose	VERB
ajst-18568	179	10	tl	tl	PROPN
ajst-18568	179	11	-	-	PUNCT
ajst-18568	179	12	lstm	lstm	ADJ
ajst-18568	179	13	-	-	PUNCT
ajst-18568	179	14	sim	sim	ADJ
ajst-18568	179	15	model	model	NOUN
ajst-18568	179	16	enhances	enhance	VERB
ajst-18568	179	17	the	the	DET
ajst-18568	179	18	transfer	transfer	NOUN
ajst-18568	179	19	learning	learn	VERB
ajst-18568	179	20	approach	approach	NOUN
ajst-18568	179	21	by	by	ADP
ajst-18568	179	22	introducing	introduce	VERB
ajst-18568	179	23	the	the	DET
ajst-18568	179	24	sim	sim	ADJ
ajst-18568	179	25	module	module	NOUN
ajst-18568	179	26	,	,	PUNCT
ajst-18568	179	27	enabling	enable	VERB
ajst-18568	179	28	iterative	iterative	NOUN
ajst-18568	179	29	pre	pre	NOUN
ajst-18568	179	30	-	-	NOUN
ajst-18568	179	31	training	training	NOUN
ajst-18568	179	32	of	of	ADP
ajst-18568	179	33	the	the	DET
ajst-18568	179	34	lstm	lstm	PROPN
ajst-18568	179	35	model	model	NOUN
ajst-18568	179	36	using	use	VERB
ajst-18568	179	37	full	full	ADJ
ajst-18568	179	38	-	-	PUNCT
ajst-18568	179	39	lifetime	lifetime	NOUN
ajst-18568	179	40	capacity	capacity	NOUN
ajst-18568	179	41	degradation	degradation	NOUN
ajst-18568	179	42	data	datum	NOUN
ajst-18568	179	43	from	from	ADP
ajst-18568	179	44	multiple	multiple	ADJ
ajst-18568	179	45	source	source	NOUN
ajst-18568	179	46	domain	domain	NOUN
ajst-18568	179	47	batteries	battery	NOUN
ajst-18568	179	48	,	,	PUNCT
ajst-18568	179	49	thereby	thereby	ADV
ajst-18568	179	50	further	far	ADV
ajst-18568	179	51	improving	improve	VERB
ajst-18568	179	52	prediction	prediction	NOUN
ajst-18568	179	53	accuracy	accuracy	NOUN
ajst-18568	179	54	.	.	PUNCT
ajst-18568	180	1	the	the	DET
ajst-18568	180	2	tl	tl	PROPN
ajst-18568	180	3	-	-	PUNCT
ajst-18568	180	4	lstm	lstm	ADJ
ajst-18568	180	5	-	-	PUNCT
ajst-18568	180	6	sim	sim	ADJ
ajst-18568	180	7	model	model	NOUN
ajst-18568	180	8	achieves	achieve	VERB
ajst-18568	180	9	high	high	ADJ
ajst-18568	180	10	prediction	prediction	NOUN
ajst-18568	180	11	accuracy	accuracy	NOUN
ajst-18568	180	12	when	when	SCONJ
ajst-18568	180	13	predicting	predict	VERB
ajst-18568	180	14	both	both	CCONJ
ajst-18568	180	15	same	same	ADJ
ajst-18568	180	16	-	-	PUNCT
ajst-18568	180	17	type	type	NOUN
ajst-18568	180	18	source	source	NOUN
ajst-18568	180	19	and	and	CCONJ
ajst-18568	180	20	target	target	NOUN
ajst-18568	180	21	domain	domain	NOUN
ajst-18568	180	22	batteries	battery	NOUN
ajst-18568	180	23	,	,	PUNCT
ajst-18568	180	24	as	as	ADV
ajst-18568	180	25	well	well	ADV
ajst-18568	180	26	as	as	ADP
ajst-18568	180	27	different	different	ADJ
ajst-18568	180	28	types	type	NOUN
ajst-18568	180	29	of	of	ADP
ajst-18568	180	30	batteries	battery	NOUN
ajst-18568	180	31	.	.	PUNCT
ajst-18568	181	1	in	in	ADP
ajst-18568	181	2	cases	case	NOUN
ajst-18568	181	3	where	where	SCONJ
ajst-18568	181	4	the	the	DET
ajst-18568	181	5	battery	battery	NOUN
ajst-18568	181	6	types	type	NOUN
ajst-18568	181	7	are	be	AUX
ajst-18568	181	8	the	the	DET
ajst-18568	181	9	same	same	ADJ
ajst-18568	181	10	,	,	PUNCT
ajst-18568	181	11	the	the	DET
ajst-18568	181	12	absolute	absolute	ADJ
ajst-18568	181	13	error	error	NOUN
ajst-18568	181	14	of	of	ADP
ajst-18568	181	15	rul	rul	NOUN
ajst-18568	181	16	predictions	prediction	NOUN
ajst-18568	181	17	is	be	AUX
ajst-18568	181	18	less	less	ADJ
ajst-18568	181	19	than	than	ADP
ajst-18568	181	20	2	2	NUM
ajst-18568	181	21	cycles	cycle	NOUN
ajst-18568	181	22	;	;	PUNCT
ajst-18568	181	23	while	while	SCONJ
ajst-18568	181	24	for	for	ADP
ajst-18568	181	25	different	different	ADJ
ajst-18568	181	26	battery	battery	NOUN
ajst-18568	181	27	types	type	NOUN
ajst-18568	181	28	,	,	PUNCT
ajst-18568	181	29	the	the	DET
ajst-18568	181	30	rul	rul	NOUN
ajst-18568	181	31	prediction	prediction	NOUN
ajst-18568	181	32	errors	error	NOUN
ajst-18568	181	33	are	be	AUX
ajst-18568	181	34	all	all	ADV
ajst-18568	181	35	less	less	ADJ
ajst-18568	181	36	than	than	ADP
ajst-18568	181	37	10	10	NUM
ajst-18568	181	38	cycles	cycle	NOUN
ajst-18568	181	39	except	except	SCONJ
ajst-18568	181	40	when	when	SCONJ
ajst-18568	181	41	predicting	predict	VERB
ajst-18568	181	42	from	from	ADP
ajst-18568	181	43	a	a	DET
ajst-18568	181	44	20	20	NUM
ajst-18568	181	45	%	%	NOUN
ajst-18568	181	46	starting	starting	NOUN
ajst-18568	181	47	point	point	NOUN
ajst-18568	181	48	.	.	PUNCT
ajst-18568	182	1	the	the	DET
ajst-18568	182	2	tl	tl	PROPN
ajst-18568	182	3	-	-	PUNCT
ajst-18568	182	4	lstm	lstm	ADJ
ajst-18568	182	5	-	-	PUNCT
ajst-18568	182	6	sim	sim	ADJ
ajst-18568	182	7	model	model	NOUN
ajst-18568	182	8	maintains	maintain	VERB
ajst-18568	182	9	high	high	ADJ
ajst-18568	182	10	prediction	prediction	NOUN
ajst-18568	182	11	accuracy	accuracy	NOUN
ajst-18568	182	12	across	across	ADP
ajst-18568	182	13	different	different	ADJ
ajst-18568	182	14	starting	starting	NOUN
ajst-18568	182	15	points	point	NOUN
ajst-18568	182	16	,	,	PUNCT
ajst-18568	182	17	particularly	particularly	ADV
ajst-18568	182	18	demonstrating	demonstrate	VERB
ajst-18568	182	19	advantages	advantage	NOUN
ajst-18568	182	20	during	during	ADP
ajst-18568	182	21	the	the	DET
ajst-18568	182	22	early	early	ADJ
ajst-18568	182	23	degradation	degradation	NOUN
ajst-18568	182	24	stages	stage	NOUN
ajst-18568	182	25	of	of	ADP
ajst-18568	182	26	lithium	lithium	NOUN
ajst-18568	182	27	-	-	PUNCT
ajst-18568	182	28	ion	ion	NOUN
ajst-18568	182	29	battery	battery	NOUN
ajst-18568	182	30	capacity	capacity	NOUN
ajst-18568	182	31	compared	compare	VERB
ajst-18568	182	32	to	to	ADP
ajst-18568	182	33	other	other	ADJ
ajst-18568	182	34	algorithms	algorithm	NOUN
ajst-18568	182	35	.	.	PUNCT
ajst-18568	183	1	in	in	ADP
ajst-18568	183	2	future	future	ADJ
ajst-18568	183	3	research	research	NOUN
ajst-18568	183	4	,	,	PUNCT
ajst-18568	183	5	the	the	DET
ajst-18568	183	6	utilization	utilization	NOUN
ajst-18568	183	7	of	of	ADP
ajst-18568	183	8	multi	multi	ADJ
ajst-18568	183	9	-	-	ADJ
ajst-18568	183	10	source	source	NOUN
ajst-18568	183	11	domain	domain	NOUN
ajst-18568	183	12	transfer	transfer	NOUN
ajst-18568	183	13	learning	learning	NOUN
ajst-18568	183	14	will	will	AUX
ajst-18568	183	15	be	be	AUX
ajst-18568	183	16	considered	consider	VERB
ajst-18568	183	17	to	to	PART
ajst-18568	183	18	extract	extract	VERB
ajst-18568	183	19	aging	age	VERB
ajst-18568	183	20	characteristics	characteristic	NOUN
ajst-18568	183	21	from	from	ADP
ajst-18568	183	22	a	a	DET
ajst-18568	183	23	wider	wide	ADJ
ajst-18568	183	24	range	range	NOUN
ajst-18568	183	25	of	of	ADP
ajst-18568	183	26	battery	battery	NOUN
ajst-18568	183	27	types	type	NOUN
ajst-18568	183	28	,	,	PUNCT
ajst-18568	183	29	aiming	aim	VERB
ajst-18568	183	30	to	to	PART
ajst-18568	183	31	further	far	ADV
ajst-18568	183	32	enhance	enhance	VERB
ajst-18568	183	33	prediction	prediction	NOUN
ajst-18568	183	34	accuracy	accuracy	NOUN
ajst-18568	183	35	and	and	CCONJ
ajst-18568	183	36	ensure	ensure	VERB
ajst-18568	183	37	consistency	consistency	NOUN
ajst-18568	183	38	in	in	ADP
ajst-18568	183	39	predicting	predict	VERB
ajst-18568	183	40	various	various	ADJ
ajst-18568	183	41	battery	battery	NOUN
ajst-18568	183	42	types	type	NOUN
ajst-18568	183	43	.	.	PUNCT
ajst-18568	184	1	funding	fund	VERB
ajst-18568	184	2	this	this	DET
ajst-18568	184	3	work	work	NOUN
ajst-18568	184	4	was	be	AUX
ajst-18568	184	5	supported	support	VERB
ajst-18568	184	6	by	by	ADP
ajst-18568	184	7	“	"	PUNCT
ajst-18568	184	8	the	the	DET
ajst-18568	184	9	fundamental	fundamental	ADJ
ajst-18568	184	10	research	research	NOUN
ajst-18568	184	11	funds	fund	NOUN
ajst-18568	184	12	for	for	ADP
ajst-18568	184	13	the	the	DET
ajst-18568	184	14	central	central	ADJ
ajst-18568	184	15	universities	university	NOUN
ajst-18568	184	16	”	"	PUNCT
ajst-18568	184	17	,	,	PUNCT
ajst-18568	184	18	southwest	southwest	PROPN
ajst-18568	184	19	minzu	minzu	PROPN
ajst-18568	184	20	university	university	PROPN
ajst-18568	184	21	(	(	PUNCT
ajst-18568	184	22	2022nyxxs096	2022nyxxs096	NUM
ajst-18568	184	23	)	)	PUNCT
ajst-18568	184	24	.	.	PUNCT
ajst-18568	185	1	acknowledgment	acknowledgment	NOUN
ajst-18568	185	2	in	in	ADP
ajst-18568	185	3	particular	particular	ADJ
ajst-18568	185	4	,	,	PUNCT
ajst-18568	185	5	thanks	thank	NOUN
ajst-18568	185	6	to	to	ADP
ajst-18568	185	7	the	the	DET
ajst-18568	185	8	nasa	nasa	PROPN
ajst-18568	185	9	ames	ames	PROPN
ajst-18568	185	10	center	center	PROPN
ajst-18568	185	11	of	of	ADP
ajst-18568	185	12	excellence	excellence	PROPN
ajst-18568	185	13	diagnostic	diagnostic	ADJ
ajst-18568	185	14	center	center	NOUN
ajst-18568	185	15	and	and	CCONJ
ajst-18568	185	16	mit	mit	PROPN
ajst-18568	185	17	-	-	PUNCT
ajst-18568	185	18	stanford	stanford	PROPN
ajst-18568	185	19	-	-	PUNCT
ajst-18568	185	20	toyota	toyota	PROPN
ajst-18568	185	21	research	research	NOUN
ajst-18568	185	22	center	center	NOUN
ajst-18568	185	23	for	for	ADP
ajst-18568	185	24	providing	provide	VERB
ajst-18568	185	25	the	the	DET
ajst-18568	185	26	experimental	experimental	ADJ
ajst-18568	185	27	data	datum	NOUN
ajst-18568	185	28	.	.	PUNCT
ajst-18568	186	1	references	reference	NOUN
ajst-18568	186	2	[	[	X
ajst-18568	186	3	1	1	NUM
ajst-18568	186	4	]	]	PUNCT
ajst-18568	186	5	yao	yao	PROPN
ajst-18568	186	6	fang	fang	X
ajst-18568	186	7	,	,	PUNCT
ajst-18568	186	8	zhang	zhang	PROPN
ajst-18568	186	9	nan	nan	PROPN
ajst-18568	186	10	,	,	PUNCT
ajst-18568	186	11	huang	huang	PROPN
ajst-18568	186	12	kai	kai	PROPN
ajst-18568	186	13	.	.	PUNCT
ajst-18568	187	1	review	review	PROPN
ajst-18568	187	2	of	of	ADP
ajst-18568	187	3	state	state	NOUN
ajst-18568	187	4	estimation	estimation	NOUN
ajst-18568	187	5	and	and	CCONJ
ajst-18568	187	6	life	life	NOUN
ajst-18568	187	7	prediction	prediction	NOUN
ajst-18568	187	8	for	for	ADP
ajst-18568	187	9	lithiumion	lithiumion	NOUN
ajst-18568	187	10	batteries	battery	NOUN
ajst-18568	188	1	[	[	X
ajst-18568	188	2	j	j	X
ajst-18568	188	3	]	]	X
ajst-18568	188	4	.	.	PUNCT
ajst-18568	189	1	journal	journal	PROPN
ajst-18568	189	2	of	of	ADP
ajst-18568	189	3	power	power	NOUN
ajst-18568	189	4	supply	supply	NOUN
ajst-18568	189	5	,	,	PUNCT
ajst-18568	189	6	2020,18(3):175183(in	2020,18(3):175183(in	NUM
ajst-18568	189	7	chinese	chinese	NOUN
ajst-18568	189	8	)	)	PUNCT
ajst-18568	189	9	.	.	PUNCT
ajst-18568	190	1	[	[	X
ajst-18568	190	2	2	2	NUM
ajst-18568	190	3	]	]	X
ajst-18568	190	4	guo	guo	PROPN
ajst-18568	190	5	yongfang	yongfang	PROPN
ajst-18568	190	6	,	,	PUNCT
ajst-18568	190	7	huang	huang	PROPN
ajst-18568	190	8	kai	kai	PROPN
ajst-18568	190	9	,	,	PUNCT
ajst-18568	190	10	li	li	PROPN
ajst-18568	190	11	zhigang	zhigang	PROPN
ajst-18568	190	12	.	.	PUNCT
ajst-18568	191	1	fast	fast	ADJ
ajst-18568	191	2	state	state	NOUN
ajst-18568	191	3	of	of	ADP
ajst-18568	191	4	health	health	NOUN
ajst-18568	191	5	prediction	prediction	NOUN
ajst-18568	191	6	of	of	ADP
ajst-18568	191	7	lithium	lithium	NOUN
ajst-18568	191	8	-	-	PUNCT
ajst-18568	191	9	ion	ion	NOUN
ajst-18568	191	10	battery	battery	NOUN
ajst-18568	191	11	based	base	VERB
ajst-18568	191	12	on	on	ADP
ajst-18568	191	13	terminal	terminal	ADJ
ajst-18568	191	14	voltage	voltage	NOUN
ajst-18568	191	15	drop	drop	NOUN
ajst-18568	191	16	during	during	ADP
ajst-18568	191	17	rest	rest	NOUN
ajst-18568	191	18	for	for	ADP
ajst-18568	191	19	short	short	ADJ
ajst-18568	191	20	time	time	NOUN
ajst-18568	192	1	[	[	X
ajst-18568	192	2	j	j	X
ajst-18568	192	3	]	]	X
ajst-18568	192	4	.	.	PUNCT
ajst-18568	193	1	transactions	transaction	NOUN
ajst-18568	193	2	of	of	ADP
ajst-18568	193	3	china	china	PROPN
ajst-18568	193	4	electrotechnical	electrotechnical	ADJ
ajst-18568	193	5	society	society	NOUN
ajst-18568	193	6	,	,	PUNCT
ajst-18568	193	7	2019,34(19):3968	2019,34(19):3968	NUM
ajst-18568	193	8	-	-	SYM
ajst-18568	193	9	3978(in	3978(in	NUM
ajst-18568	193	10	chinese	chinese	ADJ
ajst-18568	193	11	)	)	PUNCT
ajst-18568	193	12	.	.	PUNCT
ajst-18568	194	1	[	[	X
ajst-18568	194	2	3	3	X
ajst-18568	194	3	]	]	X
ajst-18568	194	4	zhao	zhao	PROPN
ajst-18568	194	5	qinfeng	qinfeng	PROPN
ajst-18568	194	6	,	,	PUNCT
ajst-18568	194	7	cai	cai	PROPN
ajst-18568	194	8	yanping	yanping	PROPN
ajst-18568	194	9	,	,	PUNCT
ajst-18568	194	10	wang	wang	PROPN
ajst-18568	194	11	xinjun	xinjun	PROPN
ajst-18568	194	12	.	.	PUNCT
ajst-18568	195	1	remaining	remain	VERB
ajst-18568	195	2	useful	useful	ADJ
ajst-18568	195	3	life	life	NOUN
ajst-18568	195	4	prediction	prediction	NOUN
ajst-18568	195	5	of	of	ADP
ajst-18568	195	6	lithium	lithium	NOUN
ajst-18568	195	7	-	-	PUNCT
ajst-18568	195	8	ion	ion	NOUN
ajst-18568	195	9	battery	battery	NOUN
ajst-18568	195	10	life	life	NOUN
ajst-18568	195	11	cycle	cycle	NOUN
ajst-18568	196	1	[	[	X
ajst-18568	196	2	j].journal	j].journal	NOUN
ajst-18568	196	3	of	of	ADP
ajst-18568	196	4	power	power	NOUN
ajst-18568	196	5	supply:1	supply:1	PROPN
ajst-18568	196	6	-	-	SYM
ajst-18568	196	7	14(in	14(in	NUM
ajst-18568	196	8	chinese	chinese	NOUN
ajst-18568	196	9	)	)	PUNCT
ajst-18568	196	10	.	.	PUNCT
ajst-18568	197	1	[	[	X
ajst-18568	197	2	4	4	NUM
ajst-18568	197	3	]	]	X
ajst-18568	197	4	guo	guo	PROPN
ajst-18568	197	5	yongfang	yongfang	PROPN
ajst-18568	197	6	,	,	PUNCT
ajst-18568	197	7	huang	huang	PROPN
ajst-18568	197	8	kai	kai	PROPN
ajst-18568	197	9	,	,	PUNCT
ajst-18568	197	10	hu	hu	PROPN
ajst-18568	197	11	xiaoya.a	xiaoya.a	PROPN
ajst-18568	197	12	state	state	PROPN
ajst-18568	197	13	-	-	PUNCT
ajst-18568	197	14	of	of	ADP
ajst-18568	197	15	-	-	PUNCT
ajst-18568	197	16	health	health	NOUN
ajst-18568	197	17	estimation	estimation	NOUN
ajst-18568	197	18	method	method	NOUN
ajst-18568	197	19	of	of	ADP
ajst-18568	197	20	lithium	lithium	NOUN
ajst-18568	197	21	-	-	PUNCT
ajst-18568	197	22	ion	ion	NOUN
ajst-18568	197	23	batteries	battery	NOUN
ajst-18568	197	24	based	base	VERB
ajst-18568	197	25	on	on	ADP
ajst-18568	197	26	multifeature	multifeature	NOUN
ajst-18568	197	27	extracted	extract	VERB
ajst-18568	197	28	from	from	ADP
ajst-18568	197	29	constant	constant	ADJ
ajst-18568	197	30	current	current	ADJ
ajst-18568	197	31	charging	charge	VERB
ajst-18568	197	32	curve[j].journal	curve[j].journal	NOUN
ajst-18568	197	33	of	of	ADP
ajst-18568	197	34	energy	energy	NOUN
ajst-18568	197	35	storage,2021	storage,2021	PROPN
ajst-18568	197	36	,	,	PUNCT
ajst-18568	197	37	36：102372	36：102372	PROPN
ajst-18568	197	38	.	.	PUNCT
ajst-18568	198	1	[	[	X
ajst-18568	198	2	5	5	X
ajst-18568	198	3	]	]	PUNCT
ajst-18568	198	4	wang	wang	PROPN
ajst-18568	198	5	ping	ping	PROPN
ajst-18568	198	6	,	,	PUNCT
ajst-18568	198	7	fan	fan	PROPN
ajst-18568	198	8	zefeng	zefeng	PROPN
ajst-18568	198	9	,	,	PUNCT
ajst-18568	198	10	cheng	cheng	PROPN
ajst-18568	198	11	ze	ze	PROPN
ajst-18568	198	12	.	.	PUNCT
ajst-18568	199	1	a	a	DET
ajst-18568	199	2	joint	joint	ADJ
ajst-18568	199	3	state	state	NOUN
ajst-18568	199	4	of	of	ADP
ajst-18568	199	5	health	health	NOUN
ajst-18568	199	6	and	and	CCONJ
ajst-18568	199	7	remaining	remain	VERB
ajst-18568	199	8	useful	useful	ADJ
ajst-18568	199	9	life	life	NOUN
ajst-18568	199	10	estimation	estimation	NOUN
ajst-18568	199	11	approach	approach	NOUN
ajst-18568	199	12	for	for	ADP
ajst-18568	199	13	lithium	lithium	NOUN
ajst-18568	199	14	-	-	PUNCT
ajst-18568	199	15	ion	ion	NOUN
ajst-18568	199	16	batteries	battery	NOUN
ajst-18568	199	17	based	base	VERB
ajst-18568	199	18	on	on	ADP
ajst-18568	199	19	health	health	NOUN
ajst-18568	199	20	factor	factor	NOUN
ajst-18568	199	21	parameter	parameter	NOUN
ajst-18568	200	1	[	[	X
ajst-18568	200	2	j	j	X
ajst-18568	200	3	]	]	X
ajst-18568	200	4	.	.	PUNCT
ajst-18568	201	1	proceedings	proceeding	NOUN
ajst-18568	201	2	of	of	ADP
ajst-18568	201	3	the	the	DET
ajst-18568	201	4	csee	csee	NOUN
ajst-18568	201	5	,	,	PUNCT
ajst-18568	201	6	2022,42(4):1523	2022,42(4):1523	NUM
ajst-18568	201	7	-	-	SYM
ajst-18568	201	8	1534(in	1534(in	NUM
ajst-18568	201	9	chinese	chinese	PROPN
ajst-18568	201	10	)	)	PUNCT
ajst-18568	201	11	.	.	PUNCT
ajst-18568	202	1	188	188	NUM
ajst-18568	202	2	[	[	SYM
ajst-18568	202	3	6	6	NUM
ajst-18568	202	4	]	]	PUNCT
ajst-18568	202	5	xu	xu	PROPN
ajst-18568	202	6	jianing	jianing	PROPN
ajst-18568	202	7	,	,	PUNCT
ajst-18568	202	8	ni	ni	PROPN
ajst-18568	202	9	yulong	yulong	PROPN
ajst-18568	202	10	,	,	PUNCT
ajst-18568	202	11	zhu	zhu	PROPN
ajst-18568	202	12	chunbo	chunbo	NOUN
ajst-18568	202	13	.	.	PUNCT
ajst-18568	203	1	remaining	remain	VERB
ajst-18568	203	2	useful	useful	ADJ
ajst-18568	203	3	life	life	NOUN
ajst-18568	203	4	prediction	prediction	NOUN
ajst-18568	203	5	for	for	ADP
ajst-18568	203	6	lithium	lithium	NOUN
ajst-18568	203	7	-	-	PUNCT
ajst-18568	203	8	ion	ion	NOUN
ajst-18568	203	9	batteries	battery	NOUN
ajst-18568	203	10	based	base	VERB
ajst-18568	203	11	on	on	ADP
ajst-18568	203	12	improved	improved	ADJ
ajst-18568	203	13	support	support	NOUN
ajst-18568	203	14	vector	vector	NOUN
ajst-18568	203	15	regression	regression	NOUN
ajst-18568	204	1	[	[	X
ajst-18568	204	2	j	j	X
ajst-18568	204	3	]	]	X
ajst-18568	204	4	.	.	PUNCT
ajst-18568	205	1	transactions	transaction	NOUN
ajst-18568	205	2	of	of	ADP
ajst-18568	205	3	china	china	PROPN
ajst-18568	205	4	electrotechnical	electrotechnical	ADJ
ajst-18568	205	5	society	society	NOUN
ajst-18568	205	6	,	,	PUNCT
ajst-18568	205	7	2021,36(17):3693	2021,36(17):3693	NUM
ajst-18568	205	8	-	-	SYM
ajst-18568	205	9	3704(in	3704(in	NUM
ajst-18568	205	10	chinese	chinese	ADJ
ajst-18568	205	11	)	)	PUNCT
ajst-18568	205	12	.	.	PUNCT
ajst-18568	206	1	[	[	X
ajst-18568	206	2	7	7	X
ajst-18568	206	3	]	]	X
ajst-18568	206	4	wang	wang	PROPN
ajst-18568	206	5	ping	ping	PROPN
ajst-18568	206	6	,	,	PUNCT
ajst-18568	206	7	gong	gong	PROPN
ajst-18568	206	8	qingrui	qingrui	PROPN
ajst-18568	206	9	,	,	PUNCT
ajst-18568	206	10	zhang	zhang	PROPN
ajst-18568	206	11	jiang	jiang	PROPN
ajst-18568	206	12	,	,	PUNCT
ajst-18568	206	13	et	et	PROPN
ajst-18568	206	14	al	al	PROPN
ajst-18568	206	15	.	.	PUNCT
ajst-18568	207	1	an	an	DET
ajst-18568	207	2	online	online	ADJ
ajst-18568	207	3	state	state	NOUN
ajst-18568	207	4	of	of	ADP
ajst-18568	207	5	health	health	NOUN
ajst-18568	207	6	prediction	prediction	NOUN
ajst-18568	207	7	method	method	NOUN
ajst-18568	207	8	for	for	ADP
ajst-18568	207	9	lithium	lithium	NOUN
ajst-18568	207	10	batteries	battery	NOUN
ajst-18568	207	11	based	base	VERB
ajst-18568	207	12	on	on	ADP
ajst-18568	207	13	combination	combination	NOUN
ajst-18568	207	14	of	of	ADP
ajst-18568	207	15	data	data	NOUN
ajst-18568	207	16	-	-	PUNCT
ajst-18568	207	17	driven	drive	VERB
ajst-18568	207	18	and	and	CCONJ
ajst-18568	207	19	empirical	empirical	ADJ
ajst-18568	207	20	model	model	NOUN
ajst-18568	208	1	[	[	X
ajst-18568	208	2	j	j	X
ajst-18568	208	3	]	]	X
ajst-18568	208	4	.	.	PUNCT
ajst-18568	209	1	transactions	transaction	NOUN
ajst-18568	209	2	of	of	ADP
ajst-18568	209	3	china	china	PROPN
ajst-18568	209	4	electrotechnical	electrotechnical	ADJ
ajst-18568	209	5	society	society	NOUN
ajst-18568	209	6	,	,	PUNCT
ajst-18568	209	7	2021,36(24):5201	2021,36(24):5201	NUM
ajst-18568	209	8	-	-	SYM
ajst-18568	209	9	5212	5212	NUM
ajst-18568	209	10	(	(	PUNCT
ajst-18568	209	11	in	in	ADP
ajst-18568	209	12	chinese	chinese	PROPN
ajst-18568	209	13	)	)	PUNCT
ajst-18568	209	14	.	.	PUNCT
ajst-18568	210	1	[	[	X
ajst-18568	210	2	8	8	NUM
ajst-18568	210	3	]	]	X
ajst-18568	210	4	zhang	zhang	PROPN
ajst-18568	210	5	yongzhi	yongzhi	PROPN
ajst-18568	210	6	,	,	PUNCT
ajst-18568	210	7	xiong	xiong	PROPN
ajst-18568	210	8	rui	rui	PROPN
ajst-18568	210	9	,	,	PUNCT
ajst-18568	210	10	he	he	PRON
ajst-18568	210	11	hongwen	hongwen	VERB
ajst-18568	210	12	,	,	PUNCT
ajst-18568	210	13	et	et	PROPN
ajst-18568	210	14	al	al	PROPN
ajst-18568	210	15	.	.	PROPN
ajst-18568	210	16	long	long	PROPN
ajst-18568	210	17	shortterm	shortterm	PROPN
ajst-18568	210	18	memory	memory	NOUN
ajst-18568	210	19	recurrent	recurrent	ADJ
ajst-18568	210	20	neural	neural	ADJ
ajst-18568	210	21	network	network	NOUN
ajst-18568	210	22	for	for	ADP
ajst-18568	210	23	remaining	remain	VERB
ajst-18568	210	24	useful	useful	ADJ
ajst-18568	210	25	life	life	NOUN
ajst-18568	210	26	prediction	prediction	NOUN
ajst-18568	210	27	of	of	ADP
ajst-18568	210	28	lithiumion	lithiumion	NOUN
ajst-18568	210	29	batteries	battery	NOUN
ajst-18568	211	1	[	[	X
ajst-18568	211	2	j	j	X
ajst-18568	211	3	]	]	X
ajst-18568	211	4	.	.	PUNCT
ajst-18568	212	1	ieee	ieee	NOUN
ajst-18568	212	2	transactions	transaction	NOUN
ajst-18568	212	3	on	on	ADP
ajst-18568	212	4	vehicular	vehicular	ADJ
ajst-18568	212	5	technology	technology	NOUN
ajst-18568	212	6	,	,	PUNCT
ajst-18568	212	7	2018	2018	NUM
ajst-18568	212	8	,	,	PUNCT
ajst-18568	212	9	67(7	67(7	NUM
ajst-18568	212	10	):	):	PUNCT
ajst-18568	212	11	5695	5695	NUM
ajst-18568	212	12	-	-	SYM
ajst-18568	212	13	5705	5705	NUM
ajst-18568	212	14	.	.	PUNCT
ajst-18568	213	1	[	[	X
ajst-18568	213	2	9	9	NUM
ajst-18568	213	3	]	]	SYM
ajst-18568	213	4	hu	hu	PROPN
ajst-18568	213	5	xiaosong	xiaosong	PROPN
ajst-18568	213	6	,	,	PUNCT
ajst-18568	213	7	che	che	PROPN
ajst-18568	213	8	yunhong	yunhong	PROPN
ajst-18568	213	9	,	,	PUNCT
ajst-18568	213	10	lin	lin	PROPN
ajst-18568	213	11	xianke	xianke	PROPN
ajst-18568	213	12	,	,	PUNCT
ajst-18568	213	13	et	et	PROPN
ajst-18568	213	14	al	al	PROPN
ajst-18568	213	15	.	.	PUNCT
ajst-18568	213	16	health	health	PROPN
ajst-18568	213	17	prognosis	prognosis	NOUN
ajst-18568	213	18	for	for	ADP
ajst-18568	213	19	electric	electric	ADJ
ajst-18568	213	20	vehicle	vehicle	NOUN
ajst-18568	213	21	battery	battery	NOUN
ajst-18568	213	22	packs	pack	NOUN
ajst-18568	213	23	:	:	PUNCT
ajst-18568	213	24	a	a	DET
ajst-18568	213	25	data	data	NOUN
ajst-18568	213	26	-	-	PUNCT
ajst-18568	213	27	driven	drive	VERB
ajst-18568	213	28	approach	approach	NOUN
ajst-18568	213	29	[	[	X
ajst-18568	213	30	j	j	X
ajst-18568	213	31	]	]	X
ajst-18568	213	32	.	.	PUNCT
ajst-18568	213	33	ieee	ieee	PROPN
ajst-18568	213	34	/	/	SYM
ajst-18568	213	35	asme	asme	PROPN
ajst-18568	213	36	transactions	transaction	NOUN
ajst-18568	213	37	on	on	ADP
ajst-18568	213	38	mechatronics	mechatronic	NOUN
ajst-18568	213	39	,	,	PUNCT
ajst-18568	213	40	2020	2020	NUM
ajst-18568	213	41	,	,	PUNCT
ajst-18568	213	42	25(6	25(6	NUM
ajst-18568	213	43	):	):	PUNCT
ajst-18568	213	44	2622	2622	NUM
ajst-18568	213	45	-	-	SYM
ajst-18568	213	46	2632	2632	NUM
ajst-18568	213	47	.	.	PUNCT
ajst-18568	214	1	[	[	X
ajst-18568	214	2	10	10	NUM
ajst-18568	214	3	]	]	X
ajst-18568	214	4	liu	liu	PROPN
ajst-18568	214	5	kailong	kailong	PROPN
ajst-18568	214	6	,	,	PUNCT
ajst-18568	214	7	shang	shang	PROPN
ajst-18568	214	8	yunlong	yunlong	PROPN
ajst-18568	214	9	,	,	PUNCT
ajst-18568	214	10	ouyang	ouyang	PROPN
ajst-18568	214	11	quan	quan	PROPN
ajst-18568	214	12	,	,	PUNCT
ajst-18568	214	13	et	et	PROPN
ajst-18568	214	14	al	al	PROPN
ajst-18568	214	15	.	.	PUNCT
ajst-18568	215	1	a	a	DET
ajst-18568	215	2	datadriven	datadriven	ADJ
ajst-18568	215	3	approach	approach	NOUN
ajst-18568	215	4	with	with	ADP
ajst-18568	215	5	uncertainty	uncertainty	NOUN
ajst-18568	215	6	quantification	quantification	NOUN
ajst-18568	215	7	for	for	ADP
ajst-18568	215	8	predicting	predict	VERB
ajst-18568	215	9	future	future	ADJ
ajst-18568	215	10	capacities	capacity	NOUN
ajst-18568	215	11	and	and	CCONJ
ajst-18568	215	12	remaining	remain	VERB
ajst-18568	215	13	useful	useful	ADJ
ajst-18568	215	14	life	life	NOUN
ajst-18568	215	15	of	of	ADP
ajst-18568	215	16	lithium	lithium	NOUN
ajst-18568	215	17	-	-	PUNCT
ajst-18568	215	18	ion	ion	NOUN
ajst-18568	215	19	battery[j].ieee	battery[j].ieee	NOUN
ajst-18568	215	20	transactions	transaction	NOUN
ajst-18568	215	21	on	on	ADP
ajst-18568	215	22	industrial	industrial	ADJ
ajst-18568	215	23	electronics,2021	electronics,2021	NOUN
ajst-18568	215	24	,	,	PUNCT
ajst-18568	215	25	68	68	NUM
ajst-18568	215	26	(	(	PUNCT
ajst-18568	215	27	4	4	NUM
ajst-18568	215	28	):	):	PUNCT
ajst-18568	215	29	3170	3170	NUM
ajst-18568	215	30	-	-	SYM
ajst-18568	215	31	3180	3180	NUM
ajst-18568	215	32	.	.	PUNCT
ajst-18568	216	1	[	[	X
ajst-18568	216	2	11	11	NUM
ajst-18568	216	3	]	]	X
ajst-18568	216	4	shi	shi	PROPN
ajst-18568	216	5	yongsheng	yongsheng	PROPN
ajst-18568	216	6	,	,	PUNCT
ajst-18568	216	7	shi	shi	PROPN
ajst-18568	216	8	mengzhuo	mengzhuo	PROPN
ajst-18568	216	9	,	,	PUNCT
ajst-18568	216	10	ding	ding	NOUN
ajst-18568	216	11	ensong	ensong	PROPN
ajst-18568	216	12	,	,	PUNCT
ajst-18568	216	13	et	et	PROPN
ajst-18568	216	14	al	al	PROPN
ajst-18568	216	15	.	.	PROPN
ajst-18568	216	16	combined	combine	VERB
ajst-18568	216	17	prediction	prediction	NOUN
ajst-18568	216	18	method	method	NOUN
ajst-18568	216	19	of	of	ADP
ajst-18568	216	20	lithium	lithium	NOUN
ajst-18568	216	21	-	-	PUNCT
ajst-18568	216	22	ion	ion	NOUN
ajst-18568	216	23	battery	battery	NOUN
ajst-18568	216	24	life	life	NOUN
ajst-18568	216	25	based	base	VERB
ajst-18568	216	26	on	on	ADP
ajst-18568	216	27	ceemdan	ceemdan	PROPN
ajst-18568	216	28	–	–	PUNCT
ajst-18568	216	29	lstm[j	lstm[j	PROPN
ajst-18568	216	30	]	]	PUNCT
ajst-18568	216	31	.	.	PUNCT
ajst-18568	217	1	chinese	chinese	ADJ
ajst-18568	217	2	journal	journal	PROPN
ajst-18568	217	3	of	of	ADP
ajst-18568	217	4	engineering	engineering	NOUN
ajst-18568	217	5	,	,	PUNCT
ajst-18568	217	6	2021,43(07):985	2021,43(07):985	NUM
ajst-18568	217	7	-	-	SYM
ajst-18568	217	8	994(in	994(in	NUM
ajst-18568	217	9	chinese	chinese	NOUN
ajst-18568	217	10	)	)	PUNCT
ajst-18568	217	11	.	.	PUNCT
ajst-18568	218	1	[	[	X
ajst-18568	218	2	12	12	NUM
ajst-18568	218	3	]	]	X
ajst-18568	218	4	pan	pan	PROPN
ajst-18568	218	5	dawei	dawei	PROPN
ajst-18568	218	6	,	,	PUNCT
ajst-18568	218	7	li	li	PROPN
ajst-18568	218	8	hengfeng	hengfeng	PROPN
ajst-18568	218	9	,	,	PUNCT
ajst-18568	218	10	wang	wang	PROPN
ajst-18568	218	11	shaojun	shaojun	PROPN
ajst-18568	218	12	.	.	PUNCT
ajst-18568	219	1	transfer	transfer	NOUN
ajst-18568	219	2	learningbased	learningbase	VERB
ajst-18568	219	3	hybrid	hybrid	ADJ
ajst-18568	219	4	remaining	remain	VERB
ajst-18568	219	5	useful	useful	ADJ
ajst-18568	219	6	life	life	NOUN
ajst-18568	219	7	prediction	prediction	NOUN
ajst-18568	219	8	for	for	ADP
ajst-18568	219	9	lithium	lithium	NOUN
ajst-18568	219	10	-	-	PUNCT
ajst-18568	219	11	ion	ion	NOUN
ajst-18568	219	12	batteries	battery	NOUN
ajst-18568	219	13	under	under	ADP
ajst-18568	219	14	different	different	ADJ
ajst-18568	219	15	stresses[j].ieee	stresses[j].ieee	NOUN
ajst-18568	219	16	transactions	transaction	NOUN
ajst-18568	219	17	on	on	ADP
ajst-18568	219	18	instrumentation	instrumentation	NOUN
ajst-18568	219	19	and	and	CCONJ
ajst-18568	219	20	measurement,2022	measurement,2022	NOUN
ajst-18568	219	21	,	,	PUNCT
ajst-18568	219	22	71	71	NUM
ajst-18568	219	23	:	:	SYM
ajst-18568	219	24	1	1	NUM
ajst-18568	219	25	-	-	SYM
ajst-18568	219	26	10	10	NUM
ajst-18568	219	27	.	.	PUNCT
ajst-18568	220	1	[	[	X
ajst-18568	220	2	13	13	NUM
ajst-18568	220	3	]	]	X
ajst-18568	220	4	ren	ren	PROPN
ajst-18568	220	5	lei	lei	PROPN
ajst-18568	220	6	,	,	PUNCT
ajst-18568	220	7	dong	dong	PROPN
ajst-18568	220	8	jiabao	jiabao	PROPN
ajst-18568	220	9	,	,	PUNCT
ajst-18568	220	10	wang	wang	PROPN
ajst-18568	220	11	xiaokang	xiaokang	PROPN
ajst-18568	220	12	,	,	PUNCT
ajst-18568	220	13	et	et	PROPN
ajst-18568	220	14	al	al	PROPN
ajst-18568	220	15	.	.	PUNCT
ajst-18568	221	1	a	a	DET
ajst-18568	221	2	data	data	NOUN
ajst-18568	221	3	-	-	PUNCT
ajst-18568	221	4	driven	drive	VERB
ajst-18568	221	5	auto	auto	NOUN
ajst-18568	221	6	-	-	PUNCT
ajst-18568	221	7	cnn	cnn	PROPN
ajst-18568	221	8	-	-	PUNCT
ajst-18568	221	9	lstm	lstm	ADJ
ajst-18568	221	10	prediction	prediction	NOUN
ajst-18568	221	11	model	model	NOUN
ajst-18568	221	12	for	for	ADP
ajst-18568	221	13	lithium	lithium	NOUN
ajst-18568	221	14	-	-	PUNCT
ajst-18568	221	15	ion	ion	NOUN
ajst-18568	221	16	battery	battery	NOUN
ajst-18568	221	17	remaining	remain	VERB
ajst-18568	221	18	useful	useful	ADJ
ajst-18568	221	19	life[j].ieee	life[j].ieee	NOUN
ajst-18568	221	20	transactions	transaction	NOUN
ajst-18568	221	21	on	on	ADP
ajst-18568	221	22	industrial	industrial	ADJ
ajst-18568	221	23	informatics	informatic	NOUN
ajst-18568	221	24	,	,	PUNCT
ajst-18568	221	25	2021	2021	NUM
ajst-18568	221	26	,	,	PUNCT
ajst-18568	221	27	17	17	NUM
ajst-18568	221	28	(	(	PUNCT
ajst-18568	221	29	5	5	NUM
ajst-18568	221	30	):	):	PUNCT
ajst-18568	221	31	3478	3478	NUM
ajst-18568	221	32	-	-	SYM
ajst-18568	221	33	3487	3487	NUM
ajst-18568	221	34	.	.	PUNCT
ajst-18568	222	1	[	[	X
ajst-18568	222	2	14	14	NUM
ajst-18568	222	3	]	]	X
ajst-18568	222	4	weiss	weiss	PROPN
ajst-18568	222	5	k	k	NOUN
ajst-18568	222	6	,	,	PUNCT
ajst-18568	222	7	khoshgoftaar	khoshgoftaar	PROPN
ajst-18568	222	8	t	t	PROPN
ajst-18568	222	9	m	m	PROPN
ajst-18568	222	10	,	,	PUNCT
ajst-18568	222	11	wang	wang	PROPN
ajst-18568	222	12	d.	d.	PROPN
ajst-18568	222	13	a	a	DET
ajst-18568	222	14	survey	survey	NOUN
ajst-18568	222	15	of	of	ADP
ajst-18568	222	16	transfer	transfer	NOUN
ajst-18568	222	17	learning[j].journal	learning[j].journal	ADJ
ajst-18568	222	18	of	of	ADP
ajst-18568	222	19	big	big	ADJ
ajst-18568	222	20	data,2016	data,2016	NOUN
ajst-18568	222	21	,	,	PUNCT
ajst-18568	222	22	3	3	NUM
ajst-18568	222	23	(	(	PUNCT
ajst-18568	222	24	1	1	NUM
ajst-18568	222	25	)	)	PUNCT
ajst-18568	222	26	.	.	PUNCT
ajst-18568	223	1	[	[	X
ajst-18568	223	2	15	15	NUM
ajst-18568	223	3	]	]	X
ajst-18568	223	4	severson	severson	PROPN
ajst-18568	223	5	k	k	PROPN
ajst-18568	223	6	a	a	PROPN
ajst-18568	223	7	,	,	PUNCT
ajst-18568	223	8	attia	attia	NOUN
ajst-18568	223	9	p	p	PROPN
ajst-18568	223	10	m	m	PROPN
ajst-18568	223	11	,	,	PUNCT
ajst-18568	223	12	jin	jin	PROPN
ajst-18568	223	13	n	n	CCONJ
ajst-18568	223	14	,	,	PUNCT
ajst-18568	223	15	et	et	PROPN
ajst-18568	223	16	al	al	PROPN
ajst-18568	223	17	.	.	PROPN
ajst-18568	223	18	data	data	NOUN
ajst-18568	223	19	-	-	PUNCT
ajst-18568	223	20	driven	drive	VERB
ajst-18568	223	21	prediction	prediction	NOUN
ajst-18568	223	22	of	of	ADP
ajst-18568	223	23	battery	battery	NOUN
ajst-18568	223	24	cycle	cycle	NOUN
ajst-18568	223	25	life	life	NOUN
ajst-18568	223	26	before	before	ADP
ajst-18568	223	27	capacity	capacity	NOUN
ajst-18568	223	28	degradation[j].nature	degradation[j].nature	NOUN
ajst-18568	223	29	energy,2019	energy,2019	NOUN
ajst-18568	223	30	,	,	PUNCT
ajst-18568	223	31	4	4	NUM
ajst-18568	223	32	(	(	PUNCT
ajst-18568	223	33	5	5	NUM
ajst-18568	223	34	):	):	PUNCT
ajst-18568	223	35	383391	383391	NUM
ajst-18568	223	36	.	.	PUNCT
ajst-18568	224	1	[	[	X
ajst-18568	224	2	16	16	NUM
ajst-18568	224	3	]	]	X
ajst-18568	224	4	ge	ge	PROPN
ajst-18568	224	5	mingfeng	mingfeng	PROPN
ajst-18568	224	6	,	,	PUNCT
ajst-18568	224	7	liu	liu	PROPN
ajst-18568	224	8	yiben	yiben	PROPN
ajst-18568	224	9	,	,	PUNCT
ajst-18568	224	10	jiang	jiang	PROPN
ajst-18568	224	11	xingxing	xingxing	PROPN
ajst-18568	224	12	,	,	PUNCT
ajst-18568	224	13	et	et	PROPN
ajst-18568	224	14	al	al	PROPN
ajst-18568	224	15	.	.	PUNCT
ajst-18568	225	1	a	a	DET
ajst-18568	225	2	review	review	NOUN
ajst-18568	225	3	on	on	ADP
ajst-18568	225	4	state	state	NOUN
ajst-18568	225	5	of	of	ADP
ajst-18568	225	6	health	health	NOUN
ajst-18568	225	7	estimations	estimation	NOUN
ajst-18568	225	8	and	and	CCONJ
ajst-18568	225	9	remaining	remain	VERB
ajst-18568	225	10	useful	useful	ADJ
ajst-18568	225	11	life	life	NOUN
ajst-18568	225	12	prognostics	prognostic	NOUN
ajst-18568	225	13	of	of	ADP
ajst-18568	225	14	lithium	lithium	NOUN
ajst-18568	225	15	-	-	PUNCT
ajst-18568	225	16	ion	ion	NOUN
ajst-18568	225	17	batteries[j].measurement,2021	batteries[j].measurement,2021	NOUN
ajst-18568	225	18	,	,	PUNCT
ajst-18568	225	19	174	174	NUM
ajst-18568	225	20	：	：	SYM
ajst-18568	225	21	109057	109057	NUM
ajst-18568	225	22	.	.	PUNCT
ajst-18568	226	1	[	[	X
ajst-18568	226	2	17	17	NUM
ajst-18568	226	3	]	]	X
ajst-18568	226	4	xue	xue	PROPN
ajst-18568	226	5	zhiwei	zhiwei	PROPN
ajst-18568	226	6	,	,	PUNCT
ajst-18568	226	7	zhang	zhang	PROPN
ajst-18568	226	8	yong	yong	PROPN
ajst-18568	226	9	,	,	PUNCT
ajst-18568	226	10	cheng	cheng	PROPN
ajst-18568	226	11	cheng	cheng	PROPN
ajst-18568	226	12	,	,	PUNCT
ajst-18568	226	13	et	et	PROPN
ajst-18568	226	14	al	al	PROPN
ajst-18568	226	15	.	.	PUNCT
ajst-18568	226	16	remaining	remain	VERB
ajst-18568	226	17	useful	useful	ADJ
ajst-18568	226	18	life	life	NOUN
ajst-18568	226	19	prediction	prediction	NOUN
ajst-18568	226	20	of	of	ADP
ajst-18568	226	21	lithium	lithium	NOUN
ajst-18568	226	22	-	-	PUNCT
ajst-18568	226	23	ion	ion	NOUN
ajst-18568	226	24	batteries	battery	NOUN
ajst-18568	226	25	with	with	ADP
ajst-18568	226	26	adaptive	adaptive	ADJ
ajst-18568	226	27	unscented	unscente	VERB
ajst-18568	226	28	kalman	kalman	NOUN
ajst-18568	226	29	filter	filter	NOUN
ajst-18568	226	30	and	and	CCONJ
ajst-18568	226	31	optimized	optimize	VERB
ajst-18568	226	32	support	support	NOUN
ajst-18568	226	33	vector	vector	NOUN
ajst-18568	226	34	regression[j].neurocomputing,2020	regression[j].neurocomputing,2020	NOUN
ajst-18568	226	35	,	,	PUNCT
ajst-18568	226	36	376	376	NUM
ajst-18568	226	37	:	:	PUNCT
ajst-18568	226	38	95	95	NUM
ajst-18568	226	39	-	-	SYM
ajst-18568	226	40	102	102	NUM
ajst-18568	226	41	.	.	PUNCT
ajst-18568	227	1	[	[	X
ajst-18568	227	2	18	18	NUM
ajst-18568	227	3	]	]	X
ajst-18568	227	4	ma	ma	PROPN
ajst-18568	227	5	jian	jian	PROPN
ajst-18568	227	6	,	,	PUNCT
ajst-18568	227	7	shang	shang	PROPN
ajst-18568	227	8	pengchao	pengchao	PROPN
ajst-18568	227	9	,	,	PUNCT
ajst-18568	227	10	zou	zou	PROPN
ajst-18568	227	11	xinyu	xinyu	PROPN
ajst-18568	227	12	,	,	PUNCT
ajst-18568	227	13	et	et	PROPN
ajst-18568	227	14	al	al	PROPN
ajst-18568	227	15	.	.	PUNCT
ajst-18568	228	1	a	a	DET
ajst-18568	228	2	hybrid	hybrid	ADJ
ajst-18568	228	3	transfer	transfer	NOUN
ajst-18568	228	4	learning	learn	VERB
ajst-18568	228	5	scheme	scheme	NOUN
ajst-18568	228	6	for	for	ADP
ajst-18568	228	7	remaining	remain	VERB
ajst-18568	228	8	useful	useful	ADJ
ajst-18568	228	9	life	life	NOUN
ajst-18568	228	10	prediction	prediction	NOUN
ajst-18568	228	11	and	and	CCONJ
ajst-18568	228	12	cycle	cycle	NOUN
ajst-18568	228	13	life	life	NOUN
ajst-18568	228	14	test	test	NOUN
ajst-18568	228	15	optimization	optimization	NOUN
ajst-18568	228	16	of	of	ADP
ajst-18568	228	17	different	different	ADJ
ajst-18568	228	18	formulation	formulation	NOUN
ajst-18568	228	19	li	li	NOUN
ajst-18568	228	20	-	-	PUNCT
ajst-18568	228	21	ion	ion	NOUN
ajst-18568	228	22	power	power	NOUN
ajst-18568	228	23	batteries[j].applied	batteries[j].applie	VERB
ajst-18568	228	24	energy,2021	energy,2021	NOUN
ajst-18568	228	25	,	,	PUNCT
ajst-18568	228	26	282	282	NUM
ajst-18568	228	27	:	:	SYM
ajst-18568	228	28	116167	116167	NUM
ajst-18568	228	29	.	.	PUNCT