id	sid	tid	token	lemma	pos
ajst-29630	1	1	academic	academic	ADJ
ajst-29630	1	2	journal	journal	NOUN
ajst-29630	1	3	of	of	ADP
ajst-29630	1	4	science	science	NOUN
ajst-29630	1	5	and	and	CCONJ
ajst-29630	1	6	technology	technology	NOUN
ajst-29630	1	7	issn	issn	NOUN
ajst-29630	1	8	:	:	PUNCT
ajst-29630	1	9	2771	2771	NUM
ajst-29630	1	10	-	-	SYM
ajst-29630	1	11	3032	3032	NUM
ajst-29630	1	12	|	|	NOUN
ajst-29630	1	13	vol	vol	NOUN
ajst-29630	1	14	.	.	PUNCT
ajst-29630	2	1	14	14	NUM
ajst-29630	2	2	,	,	PUNCT
ajst-29630	2	3	no	no	INTJ
ajst-29630	2	4	.	.	NOUN
ajst-29630	2	5	1	1	NUM
ajst-29630	2	6	,	,	PUNCT
ajst-29630	2	7	2025	2025	NUM
ajst-29630	2	8	334	334	NUM
ajst-29630	2	9	liquid	liquid	ADJ
ajst-29630	2	10	transportation	transportation	NOUN
ajst-29630	2	11	distance	distance	NOUN
ajst-29630	2	12	prediction	prediction	NOUN
ajst-29630	2	13	method	method	NOUN
ajst-29630	2	14	for	for	ADP
ajst-29630	2	15	lng	lng	PROPN
ajst-29630	2	16	long‐distance	long‐distance	PROPN
ajst-29630	2	17	pipeline	pipeline	NOUN
ajst-29630	2	18	based	base	VERB
ajst-29630	2	19	on	on	ADP
ajst-29630	2	20	lstm	lstm	PROPN
ajst-29630	2	21	algorithm	algorithm	PROPN
ajst-29630	2	22	zifan	zifan	PROPN
ajst-29630	2	23	xu1	xu1	PROPN
ajst-29630	2	24	,	,	PUNCT
ajst-29630	2	25	*	*	SYM
ajst-29630	2	26	1	1	NUM
ajst-29630	2	27	school	school	NOUN
ajst-29630	2	28	of	of	ADP
ajst-29630	2	29	mechanical	mechanical	ADJ
ajst-29630	2	30	engineering	engineering	NOUN
ajst-29630	2	31	,	,	PUNCT
ajst-29630	2	32	xi’an	xi’an	PROPN
ajst-29630	2	33	shiyou	shiyou	PROPN
ajst-29630	2	34	university	university	PROPN
ajst-29630	2	35	,	,	PUNCT
ajst-29630	2	36	xi’an	xi’an	PROPN
ajst-29630	2	37	710000	710000	NUM
ajst-29630	2	38	,	,	PUNCT
ajst-29630	2	39	china	china	PROPN
ajst-29630	2	40	*	*	PUNCT
ajst-29630	2	41	corresponding	correspond	VERB
ajst-29630	2	42	author	author	NOUN
ajst-29630	2	43	:	:	PUNCT
ajst-29630	2	44	zifan	zifan	PROPN
ajst-29630	2	45	xu	xu	PROPN
ajst-29630	2	46	(	(	PUNCT
ajst-29630	2	47	email	email	NOUN
ajst-29630	2	48	:	:	PUNCT
ajst-29630	2	49	zifan0818@163.com	zifan0818@163.com	NUM
ajst-29630	2	50	)	)	PUNCT
ajst-29630	2	51	abstract	abstract	NOUN
ajst-29630	2	52	:	:	PUNCT
ajst-29630	2	53	accurate	accurate	ADJ
ajst-29630	2	54	prediction	prediction	NOUN
ajst-29630	2	55	of	of	ADP
ajst-29630	2	56	liquid	liquid	ADJ
ajst-29630	2	57	transportation	transportation	NOUN
ajst-29630	2	58	distance	distance	NOUN
ajst-29630	2	59	in	in	ADP
ajst-29630	2	60	lng	lng	PROPN
ajst-29630	2	61	long	long	ADJ
ajst-29630	2	62	-	-	PUNCT
ajst-29630	2	63	distance	distance	NOUN
ajst-29630	2	64	pipelines	pipeline	NOUN
ajst-29630	2	65	is	be	AUX
ajst-29630	2	66	critical	critical	ADJ
ajst-29630	2	67	for	for	ADP
ajst-29630	2	68	optimizing	optimize	VERB
ajst-29630	2	69	energy	energy	NOUN
ajst-29630	2	70	transportation	transportation	NOUN
ajst-29630	2	71	efficiency	efficiency	NOUN
ajst-29630	2	72	and	and	CCONJ
ajst-29630	2	73	ensuring	ensure	VERB
ajst-29630	2	74	operational	operational	ADJ
ajst-29630	2	75	safety	safety	NOUN
ajst-29630	2	76	.	.	PUNCT
ajst-29630	3	1	however	however	ADV
ajst-29630	3	2	,	,	PUNCT
ajst-29630	3	3	traditional	traditional	ADJ
ajst-29630	3	4	methods	method	NOUN
ajst-29630	3	5	often	often	ADV
ajst-29630	3	6	struggle	struggle	VERB
ajst-29630	3	7	to	to	PART
ajst-29630	3	8	capture	capture	VERB
ajst-29630	3	9	the	the	DET
ajst-29630	3	10	nonlinear	nonlinear	ADJ
ajst-29630	3	11	temporal	temporal	ADJ
ajst-29630	3	12	dependencies	dependency	NOUN
ajst-29630	3	13	and	and	CCONJ
ajst-29630	3	14	complex	complex	ADJ
ajst-29630	3	15	flow	flow	NOUN
ajst-29630	3	16	dynamics	dynamic	NOUN
ajst-29630	3	17	inherent	inherent	ADJ
ajst-29630	3	18	in	in	ADP
ajst-29630	3	19	pipeline	pipeline	NOUN
ajst-29630	3	20	systems	system	NOUN
ajst-29630	3	21	.	.	PUNCT
ajst-29630	4	1	this	this	DET
ajst-29630	4	2	paper	paper	NOUN
ajst-29630	4	3	proposes	propose	VERB
ajst-29630	4	4	a	a	DET
ajst-29630	4	5	novel	novel	ADJ
ajst-29630	4	6	prediction	prediction	NOUN
ajst-29630	4	7	method	method	NOUN
ajst-29630	4	8	based	base	VERB
ajst-29630	4	9	on	on	ADP
ajst-29630	4	10	the	the	DET
ajst-29630	4	11	long	long	ADJ
ajst-29630	4	12	short	short	ADJ
ajst-29630	4	13	-	-	PUNCT
ajst-29630	4	14	term	term	NOUN
ajst-29630	4	15	memory	memory	NOUN
ajst-29630	4	16	(	(	PUNCT
ajst-29630	4	17	lstm	lstm	NOUN
ajst-29630	4	18	)	)	PUNCT
ajst-29630	4	19	algorithm	algorithm	NOUN
ajst-29630	4	20	to	to	PART
ajst-29630	4	21	address	address	VERB
ajst-29630	4	22	these	these	DET
ajst-29630	4	23	challenges	challenge	NOUN
ajst-29630	4	24	.	.	PUNCT
ajst-29630	5	1	by	by	ADP
ajst-29630	5	2	leveraging	leverage	VERB
ajst-29630	5	3	historical	historical	ADJ
ajst-29630	5	4	operational	operational	ADJ
ajst-29630	5	5	data	datum	NOUN
ajst-29630	5	6	,	,	PUNCT
ajst-29630	5	7	including	include	VERB
ajst-29630	5	8	pressure	pressure	NOUN
ajst-29630	5	9	,	,	PUNCT
ajst-29630	5	10	temperature	temperature	NOUN
ajst-29630	5	11	,	,	PUNCT
ajst-29630	5	12	flow	flow	NOUN
ajst-29630	5	13	rate	rate	NOUN
ajst-29630	5	14	,	,	PUNCT
ajst-29630	5	15	and	and	CCONJ
ajst-29630	5	16	pipeline	pipeline	NOUN
ajst-29630	5	17	terrain	terrain	NOUN
ajst-29630	5	18	characteristics	characteristic	NOUN
ajst-29630	5	19	,	,	PUNCT
ajst-29630	5	20	the	the	DET
ajst-29630	5	21	lstm	lstm	NOUN
ajst-29630	5	22	model	model	NOUN
ajst-29630	5	23	is	be	AUX
ajst-29630	5	24	trained	train	VERB
ajst-29630	5	25	to	to	PART
ajst-29630	5	26	learn	learn	VERB
ajst-29630	5	27	spatiotemporal	spatiotemporal	ADJ
ajst-29630	5	28	patterns	pattern	NOUN
ajst-29630	5	29	and	and	CCONJ
ajst-29630	5	30	predict	predict	VERB
ajst-29630	5	31	transportation	transportation	NOUN
ajst-29630	5	32	distances	distance	NOUN
ajst-29630	5	33	under	under	ADP
ajst-29630	5	34	varying	vary	VERB
ajst-29630	5	35	conditions	condition	NOUN
ajst-29630	5	36	.	.	PUNCT
ajst-29630	6	1	the	the	DET
ajst-29630	6	2	proposed	propose	VERB
ajst-29630	6	3	framework	framework	NOUN
ajst-29630	6	4	incorporates	incorporate	VERB
ajst-29630	6	5	data	datum	NOUN
ajst-29630	6	6	preprocessing	preprocessing	NOUN
ajst-29630	6	7	,	,	PUNCT
ajst-29630	6	8	feature	feature	NOUN
ajst-29630	6	9	selection	selection	NOUN
ajst-29630	6	10	,	,	PUNCT
ajst-29630	6	11	and	and	CCONJ
ajst-29630	6	12	hyperparameter	hyperparameter	NOUN
ajst-29630	6	13	optimization	optimization	NOUN
ajst-29630	6	14	to	to	PART
ajst-29630	6	15	enhance	enhance	VERB
ajst-29630	6	16	model	model	NOUN
ajst-29630	6	17	robustness	robustness	NOUN
ajst-29630	6	18	.	.	PUNCT
ajst-29630	7	1	experimental	experimental	ADJ
ajst-29630	7	2	results	result	NOUN
ajst-29630	7	3	demonstrate	demonstrate	VERB
ajst-29630	7	4	that	that	SCONJ
ajst-29630	7	5	the	the	DET
ajst-29630	7	6	lstm	lstm	NOUN
ajst-29630	7	7	-	-	PUNCT
ajst-29630	7	8	based	base	VERB
ajst-29630	7	9	method	method	NOUN
ajst-29630	7	10	outperforms	outperform	VERB
ajst-29630	7	11	conventional	conventional	ADJ
ajst-29630	7	12	models	model	NOUN
ajst-29630	7	13	in	in	ADP
ajst-29630	7	14	terms	term	NOUN
ajst-29630	7	15	of	of	ADP
ajst-29630	7	16	prediction	prediction	NOUN
ajst-29630	7	17	accuracy	accuracy	NOUN
ajst-29630	7	18	,	,	PUNCT
ajst-29630	7	19	achieving	achieve	VERB
ajst-29630	7	20	a	a	DET
ajst-29630	7	21	mean	mean	ADJ
ajst-29630	7	22	absolute	absolute	ADJ
ajst-29630	7	23	error	error	NOUN
ajst-29630	7	24	of	of	ADP
ajst-29630	7	25	0.82	0.82	NUM
ajst-29630	7	26	km	km	NOUN
ajst-29630	7	27	and	and	CCONJ
ajst-29630	7	28	a	a	DET
ajst-29630	7	29	root	root	NOUN
ajst-29630	7	30	mean	mean	NOUN
ajst-29630	7	31	square	square	ADJ
ajst-29630	7	32	error	error	NOUN
ajst-29630	7	33	of	of	ADP
ajst-29630	7	34	1.15	1.15	NUM
ajst-29630	7	35	km	km	NOUN
ajst-29630	7	36	over	over	ADP
ajst-29630	7	37	a	a	DET
ajst-29630	7	38	200	200	NUM
ajst-29630	7	39	km	km	NOUN
ajst-29630	7	40	test	test	NOUN
ajst-29630	7	41	pipeline	pipeline	NOUN
ajst-29630	7	42	segment	segment	NOUN
ajst-29630	7	43	.	.	PUNCT
ajst-29630	8	1	the	the	DET
ajst-29630	8	2	model	model	NOUN
ajst-29630	8	3	’s	’s	PART
ajst-29630	8	4	ability	ability	NOUN
ajst-29630	8	5	to	to	PART
ajst-29630	8	6	handle	handle	VERB
ajst-29630	8	7	long	long	ADJ
ajst-29630	8	8	-	-	PUNCT
ajst-29630	8	9	term	term	NOUN
ajst-29630	8	10	dependencies	dependency	NOUN
ajst-29630	8	11	and	and	CCONJ
ajst-29630	8	12	noisy	noisy	ADJ
ajst-29630	8	13	data	datum	NOUN
ajst-29630	8	14	highlights	highlight	VERB
ajst-29630	8	15	its	its	PRON
ajst-29630	8	16	practical	practical	ADJ
ajst-29630	8	17	applicability	applicability	NOUN
ajst-29630	8	18	for	for	ADP
ajst-29630	8	19	real	real	ADJ
ajst-29630	8	20	-	-	PUNCT
ajst-29630	8	21	time	time	NOUN
ajst-29630	8	22	monitoring	monitoring	NOUN
ajst-29630	8	23	and	and	CCONJ
ajst-29630	8	24	decision	decision	NOUN
ajst-29630	8	25	-	-	PUNCT
ajst-29630	8	26	making	making	NOUN
ajst-29630	8	27	in	in	ADP
ajst-29630	8	28	lng	lng	PROPN
ajst-29630	8	29	pipeline	pipeline	PROPN
ajst-29630	8	30	management	management	NOUN
ajst-29630	8	31	.	.	PUNCT
ajst-29630	9	1	this	this	DET
ajst-29630	9	2	study	study	NOUN
ajst-29630	9	3	contributes	contribute	VERB
ajst-29630	9	4	to	to	ADP
ajst-29630	9	5	advancing	advance	VERB
ajst-29630	9	6	intelligent	intelligent	ADJ
ajst-29630	9	7	solutions	solution	NOUN
ajst-29630	9	8	for	for	ADP
ajst-29630	9	9	energy	energy	NOUN
ajst-29630	9	10	infrastructure	infrastructure	NOUN
ajst-29630	9	11	optimization	optimization	NOUN
ajst-29630	9	12	.	.	PUNCT
ajst-29630	10	1	keywords	keyword	NOUN
ajst-29630	10	2	:	:	PUNCT
ajst-29630	10	3	lng	lng	PROPN
ajst-29630	10	4	pipeline	pipeline	PROPN
ajst-29630	10	5	;	;	PUNCT
ajst-29630	10	6	transportation	transportation	NOUN
ajst-29630	10	7	distance	distance	NOUN
ajst-29630	10	8	prediction	prediction	NOUN
ajst-29630	10	9	;	;	PUNCT
ajst-29630	10	10	lstm	lstm	ADJ
ajst-29630	10	11	algorithm	algorithm	NOUN
ajst-29630	10	12	;	;	PUNCT
ajst-29630	10	13	time	time	NOUN
ajst-29630	10	14	series	series	PROPN
ajst-29630	10	15	analysis	analysis	NOUN
ajst-29630	10	16	;	;	PUNCT
ajst-29630	10	17	deep	deep	ADJ
ajst-29630	10	18	learning	learning	NOUN
ajst-29630	10	19	;	;	PUNCT
ajst-29630	10	20	energy	energy	NOUN
ajst-29630	10	21	transportation	transportation	NOUN
ajst-29630	10	22	optimization	optimization	NOUN
ajst-29630	10	23	.	.	PUNCT
ajst-29630	11	1	1	1	X
ajst-29630	11	2	.	.	X
ajst-29630	11	3	introduction	introduction	NOUN
ajst-29630	11	4	the	the	DET
ajst-29630	11	5	prediction	prediction	NOUN
ajst-29630	11	6	of	of	ADP
ajst-29630	11	7	transportation	transportation	NOUN
ajst-29630	11	8	distance	distance	NOUN
ajst-29630	11	9	for	for	ADP
ajst-29630	11	10	liquefied	liquefy	VERB
ajst-29630	11	11	natural	natural	ADJ
ajst-29630	11	12	gas	gas	NOUN
ajst-29630	11	13	(	(	PUNCT
ajst-29630	11	14	lng	lng	NOUN
ajst-29630	11	15	)	)	PUNCT
ajst-29630	11	16	in	in	ADP
ajst-29630	11	17	long	long	ADJ
ajst-29630	11	18	-	-	PUNCT
ajst-29630	11	19	distance	distance	NOUN
ajst-29630	11	20	pipelines	pipeline	NOUN
ajst-29630	11	21	is	be	AUX
ajst-29630	11	22	critical	critical	ADJ
ajst-29630	11	23	in	in	ADP
ajst-29630	11	24	the	the	DET
ajst-29630	11	25	energy	energy	NOUN
ajst-29630	11	26	transportation	transportation	NOUN
ajst-29630	11	27	sector	sector	NOUN
ajst-29630	11	28	[	[	X
ajst-29630	11	29	1	1	NUM
ajst-29630	11	30	]	]	PUNCT
ajst-29630	11	31	.	.	PUNCT
ajst-29630	12	1	it	it	PRON
ajst-29630	12	2	plays	play	VERB
ajst-29630	12	3	a	a	DET
ajst-29630	12	4	vital	vital	ADJ
ajst-29630	12	5	role	role	NOUN
ajst-29630	12	6	in	in	ADP
ajst-29630	12	7	optimizing	optimize	VERB
ajst-29630	12	8	pipeline	pipeline	NOUN
ajst-29630	12	9	design	design	NOUN
ajst-29630	12	10	and	and	CCONJ
ajst-29630	12	11	layout	layout	NOUN
ajst-29630	12	12	,	,	PUNCT
ajst-29630	12	13	enhancing	enhance	VERB
ajst-29630	12	14	transportation	transportation	NOUN
ajst-29630	12	15	efficiency	efficiency	NOUN
ajst-29630	12	16	,	,	PUNCT
ajst-29630	12	17	avoiding	avoid	VERB
ajst-29630	12	18	unnecessary	unnecessary	ADJ
ajst-29630	12	19	redundant	redundant	ADJ
ajst-29630	12	20	pipeline	pipeline	NOUN
ajst-29630	12	21	construction	construction	NOUN
ajst-29630	12	22	,	,	PUNCT
ajst-29630	12	23	and	and	CCONJ
ajst-29630	12	24	reducing	reduce	VERB
ajst-29630	12	25	energy	energy	NOUN
ajst-29630	12	26	consumption	consumption	NOUN
ajst-29630	12	27	[	[	X
ajst-29630	12	28	2	2	NUM
ajst-29630	12	29	,	,	PUNCT
ajst-29630	12	30	3	3	NUM
ajst-29630	12	31	]	]	PUNCT
ajst-29630	12	32	.	.	PUNCT
ajst-29630	13	1	accurate	accurate	ADJ
ajst-29630	13	2	distance	distance	NOUN
ajst-29630	13	3	prediction	prediction	NOUN
ajst-29630	13	4	enables	enable	VERB
ajst-29630	13	5	the	the	DET
ajst-29630	13	6	formulation	formulation	NOUN
ajst-29630	13	7	of	of	ADP
ajst-29630	13	8	rational	rational	ADJ
ajst-29630	13	9	investment	investment	NOUN
ajst-29630	13	10	plans	plan	NOUN
ajst-29630	13	11	,	,	PUNCT
ajst-29630	13	12	evaluation	evaluation	NOUN
ajst-29630	13	13	of	of	ADP
ajst-29630	13	14	construction	construction	NOUN
ajst-29630	13	15	and	and	CCONJ
ajst-29630	13	16	operational	operational	ADJ
ajst-29630	13	17	costs	cost	NOUN
ajst-29630	13	18	,	,	PUNCT
ajst-29630	13	19	and	and	CCONJ
ajst-29630	13	20	ensures	ensure	VERB
ajst-29630	13	21	economic	economic	ADJ
ajst-29630	13	22	benefits	benefit	NOUN
ajst-29630	13	23	.	.	PUNCT
ajst-29630	14	1	the	the	DET
ajst-29630	14	2	prediction	prediction	NOUN
ajst-29630	14	3	of	of	ADP
ajst-29630	14	4	liquid	liquid	ADJ
ajst-29630	14	5	transportation	transportation	NOUN
ajst-29630	14	6	distance	distance	NOUN
ajst-29630	14	7	in	in	ADP
ajst-29630	14	8	lng	lng	PROPN
ajst-29630	14	9	long	long	ADJ
ajst-29630	14	10	-	-	PUNCT
ajst-29630	14	11	distance	distance	NOUN
ajst-29630	14	12	pipelines	pipeline	NOUN
ajst-29630	14	13	is	be	AUX
ajst-29630	14	14	crucial	crucial	ADJ
ajst-29630	14	15	in	in	ADP
ajst-29630	14	16	the	the	DET
ajst-29630	14	17	energy	energy	NOUN
ajst-29630	14	18	transportation	transportation	NOUN
ajst-29630	14	19	sector	sector	NOUN
ajst-29630	14	20	[	[	X
ajst-29630	14	21	4	4	NUM
ajst-29630	14	22	,	,	PUNCT
ajst-29630	14	23	5	5	NUM
ajst-29630	14	24	]	]	PUNCT
ajst-29630	14	25	.	.	PUNCT
ajst-29630	15	1	it	it	PRON
ajst-29630	15	2	helps	help	VERB
ajst-29630	15	3	optimize	optimize	VERB
ajst-29630	15	4	pipeline	pipeline	NOUN
ajst-29630	15	5	design	design	NOUN
ajst-29630	15	6	and	and	CCONJ
ajst-29630	15	7	layout	layout	NOUN
ajst-29630	15	8	,	,	PUNCT
ajst-29630	15	9	enhance	enhance	VERB
ajst-29630	15	10	transportation	transportation	NOUN
ajst-29630	15	11	efficiency	efficiency	NOUN
ajst-29630	15	12	,	,	PUNCT
ajst-29630	15	13	avoid	avoid	VERB
ajst-29630	15	14	redundant	redundant	ADJ
ajst-29630	15	15	pipeline	pipeline	NOUN
ajst-29630	15	16	construction	construction	NOUN
ajst-29630	15	17	,	,	PUNCT
ajst-29630	15	18	and	and	CCONJ
ajst-29630	15	19	reduce	reduce	VERB
ajst-29630	15	20	energy	energy	NOUN
ajst-29630	15	21	consumption	consumption	NOUN
ajst-29630	15	22	.	.	PUNCT
ajst-29630	16	1	accurate	accurate	ADJ
ajst-29630	16	2	distance	distance	NOUN
ajst-29630	16	3	prediction	prediction	NOUN
ajst-29630	16	4	supports	support	VERB
ajst-29630	16	5	the	the	DET
ajst-29630	16	6	formulation	formulation	NOUN
ajst-29630	16	7	of	of	ADP
ajst-29630	16	8	reasonable	reasonable	ADJ
ajst-29630	16	9	investment	investment	NOUN
ajst-29630	16	10	plans	plan	NOUN
ajst-29630	16	11	,	,	PUNCT
ajst-29630	16	12	evaluation	evaluation	NOUN
ajst-29630	16	13	of	of	ADP
ajst-29630	16	14	construction	construction	NOUN
ajst-29630	16	15	and	and	CCONJ
ajst-29630	16	16	operational	operational	ADJ
ajst-29630	16	17	costs	cost	NOUN
ajst-29630	16	18	,	,	PUNCT
ajst-29630	16	19	and	and	CCONJ
ajst-29630	16	20	ensures	ensure	VERB
ajst-29630	16	21	economic	economic	ADJ
ajst-29630	16	22	benefits	benefit	NOUN
ajst-29630	16	23	[	[	X
ajst-29630	16	24	6	6	NUM
ajst-29630	16	25	]	]	PUNCT
ajst-29630	16	26	.	.	PUNCT
ajst-29630	17	1	since	since	SCONJ
ajst-29630	17	2	liquefied	liquefy	VERB
ajst-29630	17	3	natural	natural	ADJ
ajst-29630	17	4	gas	gas	NOUN
ajst-29630	17	5	is	be	AUX
ajst-29630	17	6	a	a	DET
ajst-29630	17	7	flammable	flammable	ADJ
ajst-29630	17	8	and	and	CCONJ
ajst-29630	17	9	explosive	explosive	ADJ
ajst-29630	17	10	hazardous	hazardous	ADJ
ajst-29630	17	11	material	material	NOUN
ajst-29630	17	12	,	,	PUNCT
ajst-29630	17	13	precise	precise	ADJ
ajst-29630	17	14	distance	distance	NOUN
ajst-29630	17	15	prediction	prediction	NOUN
ajst-29630	17	16	also	also	ADV
ajst-29630	17	17	ensures	ensure	VERB
ajst-29630	17	18	the	the	DET
ajst-29630	17	19	safety	safety	NOUN
ajst-29630	17	20	of	of	ADP
ajst-29630	17	21	pipeline	pipeline	NOUN
ajst-29630	17	22	design	design	NOUN
ajst-29630	17	23	,	,	PUNCT
ajst-29630	17	24	guarantees	guarantee	VERB
ajst-29630	17	25	stable	stable	ADJ
ajst-29630	17	26	operation	operation	NOUN
ajst-29630	17	27	under	under	ADP
ajst-29630	17	28	diverse	diverse	ADJ
ajst-29630	17	29	environmental	environmental	ADJ
ajst-29630	17	30	conditions	condition	NOUN
ajst-29630	17	31	,	,	PUNCT
ajst-29630	17	32	and	and	CCONJ
ajst-29630	17	33	minimizes	minimize	VERB
ajst-29630	17	34	potential	potential	ADJ
ajst-29630	17	35	risks	risk	NOUN
ajst-29630	17	36	.	.	PUNCT
ajst-29630	18	1	methods	method	NOUN
ajst-29630	18	2	for	for	ADP
ajst-29630	18	3	predicting	predict	VERB
ajst-29630	18	4	liquid	liquid	ADJ
ajst-29630	18	5	transportation	transportation	NOUN
ajst-29630	18	6	distance	distance	NOUN
ajst-29630	18	7	can	can	AUX
ajst-29630	18	8	be	be	AUX
ajst-29630	18	9	broadly	broadly	ADV
ajst-29630	18	10	categorized	categorize	VERB
ajst-29630	18	11	into	into	ADP
ajst-29630	18	12	three	three	NUM
ajst-29630	18	13	types	type	NOUN
ajst-29630	18	14	:	:	PUNCT
ajst-29630	18	15	statistical	statistical	ADJ
ajst-29630	18	16	model	model	NOUN
ajst-29630	18	17	-	-	PUNCT
ajst-29630	18	18	based	base	VERB
ajst-29630	18	19	approaches	approach	NOUN
ajst-29630	18	20	,	,	PUNCT
ajst-29630	18	21	which	which	PRON
ajst-29630	18	22	offer	offer	VERB
ajst-29630	18	23	high	high	ADJ
ajst-29630	18	24	prediction	prediction	NOUN
ajst-29630	18	25	accuracy	accuracy	NOUN
ajst-29630	18	26	but	but	CCONJ
ajst-29630	18	27	require	require	VERB
ajst-29630	18	28	extensive	extensive	ADJ
ajst-29630	18	29	data	datum	NOUN
ajst-29630	18	30	inputs	input	NOUN
ajst-29630	18	31	and	and	CCONJ
ajst-29630	18	32	long	long	ADJ
ajst-29630	18	33	-	-	PUNCT
ajst-29630	18	34	term	term	NOUN
ajst-29630	18	35	data	datum	NOUN
ajst-29630	18	36	accumulation	accumulation	NOUN
ajst-29630	18	37	.	.	PUNCT
ajst-29630	19	1	however	however	ADV
ajst-29630	19	2	,	,	PUNCT
ajst-29630	19	3	they	they	PRON
ajst-29630	19	4	are	be	AUX
ajst-29630	19	5	sensitive	sensitive	ADJ
ajst-29630	19	6	to	to	ADP
ajst-29630	19	7	outliers	outlier	NOUN
ajst-29630	19	8	,	,	PUNCT
ajst-29630	19	9	which	which	PRON
ajst-29630	19	10	may	may	AUX
ajst-29630	19	11	reduce	reduce	VERB
ajst-29630	19	12	prediction	prediction	NOUN
ajst-29630	19	13	reliability	reliability	NOUN
ajst-29630	19	14	.	.	PUNCT
ajst-29630	20	1	physics	physics	NOUN
ajst-29630	20	2	-	-	PUNCT
ajst-29630	20	3	based	base	VERB
ajst-29630	20	4	models	model	NOUN
ajst-29630	20	5	,	,	PUNCT
ajst-29630	20	6	which	which	PRON
ajst-29630	20	7	involve	involve	VERB
ajst-29630	20	8	complex	complex	ADJ
ajst-29630	20	9	modeling	modeling	NOUN
ajst-29630	20	10	processes	process	NOUN
ajst-29630	20	11	and	and	CCONJ
ajst-29630	20	12	demand	demand	VERB
ajst-29630	20	13	highly	highly	ADV
ajst-29630	20	14	accurate	accurate	ADJ
ajst-29630	20	15	input	input	NOUN
ajst-29630	20	16	data	datum	NOUN
ajst-29630	20	17	,	,	PUNCT
ajst-29630	20	18	such	such	ADJ
ajst-29630	20	19	as	as	ADP
ajst-29630	20	20	environmental	environmental	ADJ
ajst-29630	20	21	temperature	temperature	NOUN
ajst-29630	20	22	and	and	CCONJ
ajst-29630	20	23	pipeline	pipeline	NOUN
ajst-29630	20	24	parameters	parameter	NOUN
ajst-29630	20	25	.	.	PUNCT
ajst-29630	21	1	under	under	ADP
ajst-29630	21	2	extreme	extreme	ADJ
ajst-29630	21	3	conditions	condition	NOUN
ajst-29630	21	4	,	,	PUNCT
ajst-29630	21	5	pipeline	pipeline	NOUN
ajst-29630	21	6	components	component	NOUN
ajst-29630	21	7	may	may	AUX
ajst-29630	21	8	lead	lead	VERB
ajst-29630	21	9	to	to	ADP
ajst-29630	21	10	poor	poor	ADJ
ajst-29630	21	11	anti	anti	ADJ
ajst-29630	21	12	-	-	ADJ
ajst-29630	21	13	interference	interference	ADJ
ajst-29630	21	14	capability	capability	NOUN
ajst-29630	21	15	and	and	CCONJ
ajst-29630	21	16	weak	weak	ADJ
ajst-29630	21	17	robustness	robustness	NOUN
ajst-29630	21	18	in	in	ADP
ajst-29630	21	19	prediction	prediction	NOUN
ajst-29630	21	20	models	model	NOUN
ajst-29630	21	21	.	.	PUNCT
ajst-29630	22	1	machine	machine	NOUN
ajst-29630	22	2	learning	learning	NOUN
ajst-29630	22	3	-	-	PUNCT
ajst-29630	22	4	based	base	VERB
ajst-29630	22	5	methods	method	NOUN
ajst-29630	22	6	,	,	PUNCT
ajst-29630	22	7	which	which	PRON
ajst-29630	22	8	utilize	utilize	VERB
ajst-29630	22	9	historical	historical	ADJ
ajst-29630	22	10	data	datum	NOUN
ajst-29630	22	11	to	to	PART
ajst-29630	22	12	train	train	VERB
ajst-29630	22	13	deep	deep	ADJ
ajst-29630	22	14	learning	learning	NOUN
ajst-29630	22	15	algorithms	algorithm	NOUN
ajst-29630	22	16	and	and	CCONJ
ajst-29630	22	17	build	build	VERB
ajst-29630	22	18	predictive	predictive	ADJ
ajst-29630	22	19	models	model	NOUN
ajst-29630	22	20	.	.	PUNCT
ajst-29630	23	1	these	these	DET
ajst-29630	23	2	methods	method	NOUN
ajst-29630	23	3	effectively	effectively	ADV
ajst-29630	23	4	capture	capture	VERB
ajst-29630	23	5	both	both	CCONJ
ajst-29630	23	6	linear	linear	ADJ
ajst-29630	23	7	and	and	CCONJ
ajst-29630	23	8	nonlinear	nonlinear	ADJ
ajst-29630	23	9	relationships	relationship	NOUN
ajst-29630	23	10	within	within	ADP
ajst-29630	23	11	data	datum	NOUN
ajst-29630	23	12	,	,	PUNCT
ajst-29630	23	13	delivering	deliver	VERB
ajst-29630	23	14	high	high	ADJ
ajst-29630	23	15	prediction	prediction	NOUN
ajst-29630	23	16	accuracy	accuracy	NOUN
ajst-29630	23	17	.	.	PUNCT
ajst-29630	24	1	by	by	ADP
ajst-29630	24	2	learning	learn	VERB
ajst-29630	24	3	from	from	ADP
ajst-29630	24	4	data	datum	NOUN
ajst-29630	24	5	and	and	CCONJ
ajst-29630	24	6	recognizing	recognize	VERB
ajst-29630	24	7	patterns	pattern	NOUN
ajst-29630	24	8	,	,	PUNCT
ajst-29630	24	9	they	they	PRON
ajst-29630	24	10	automatically	automatically	ADV
ajst-29630	24	11	adapt	adapt	VERB
ajst-29630	24	12	and	and	CCONJ
ajst-29630	24	13	optimize	optimize	NOUN
ajst-29630	24	14	models	model	NOUN
ajst-29630	24	15	to	to	PART
ajst-29630	24	16	suit	suit	VERB
ajst-29630	24	17	diverse	diverse	ADJ
ajst-29630	24	18	data	datum	NOUN
ajst-29630	24	19	characteristics	characteristic	NOUN
ajst-29630	24	20	and	and	CCONJ
ajst-29630	24	21	prediction	prediction	NOUN
ajst-29630	24	22	requirements	requirement	NOUN
ajst-29630	24	23	.	.	PUNCT
ajst-29630	25	1	as	as	ADP
ajst-29630	25	2	a	a	DET
ajst-29630	25	3	key	key	ADJ
ajst-29630	25	4	component	component	NOUN
ajst-29630	25	5	of	of	ADP
ajst-29630	25	6	machine	machine	NOUN
ajst-29630	25	7	learning	learning	NOUN
ajst-29630	25	8	,	,	PUNCT
ajst-29630	25	9	deep	deep	ADJ
ajst-29630	25	10	learning	learning	NOUN
ajst-29630	25	11	employs	employ	VERB
ajst-29630	25	12	common	common	ADJ
ajst-29630	25	13	models	model	NOUN
ajst-29630	25	14	such	such	ADJ
ajst-29630	25	15	as	as	ADP
ajst-29630	25	16	backpropagation	backpropagation	NOUN
ajst-29630	25	17	neural	neural	ADJ
ajst-29630	25	18	networks	network	NOUN
ajst-29630	25	19	(	(	PUNCT
ajst-29630	25	20	bpnn	bpnn	NOUN
ajst-29630	25	21	)	)	PUNCT
ajst-29630	25	22	,	,	PUNCT
ajst-29630	25	23	long	long	ADJ
ajst-29630	25	24	short	short	ADJ
ajst-29630	25	25	-	-	PUNCT
ajst-29630	25	26	term	term	NOUN
ajst-29630	25	27	memory[7	memory[7	NOUN
ajst-29630	25	28	]	]	X
ajst-29630	25	29	(	(	PUNCT
ajst-29630	25	30	lstm	lstm	NOUN
ajst-29630	25	31	)	)	PUNCT
ajst-29630	25	32	networks	network	NOUN
ajst-29630	25	33	,	,	PUNCT
ajst-29630	25	34	and	and	CCONJ
ajst-29630	25	35	support	support	VERB
ajst-29630	25	36	vector	vector	NOUN
ajst-29630	25	37	machines	machine	NOUN
ajst-29630	25	38	[	[	X
ajst-29630	25	39	8	8	NUM
ajst-29630	25	40	]	]	PUNCT
ajst-29630	25	41	(	(	PUNCT
ajst-29630	25	42	svm	svm	PROPN
ajst-29630	25	43	)	)	PUNCT
ajst-29630	25	44	.	.	PUNCT
ajst-29630	26	1	the	the	DET
ajst-29630	26	2	rationale	rationale	NOUN
ajst-29630	26	3	for	for	ADP
ajst-29630	26	4	using	use	VERB
ajst-29630	26	5	the	the	DET
ajst-29630	26	6	lstm	lstm	ADJ
ajst-29630	26	7	algorithm	algorithm	NOUN
ajst-29630	26	8	to	to	PART
ajst-29630	26	9	predict	predict	VERB
ajst-29630	26	10	liquid	liquid	ADJ
ajst-29630	26	11	transportation	transportation	NOUN
ajst-29630	26	12	distance	distance	NOUN
ajst-29630	26	13	in	in	ADP
ajst-29630	26	14	lng	lng	PROPN
ajst-29630	26	15	pipelines	pipeline	NOUN
ajst-29630	26	16	lies	lie	VERB
ajst-29630	26	17	in	in	ADP
ajst-29630	26	18	its	its	PRON
ajst-29630	26	19	superior	superior	ADJ
ajst-29630	26	20	capability	capability	NOUN
ajst-29630	26	21	to	to	PART
ajst-29630	26	22	process	process	VERB
ajst-29630	26	23	temporal	temporal	ADJ
ajst-29630	26	24	data	datum	NOUN
ajst-29630	26	25	.	.	PUNCT
ajst-29630	27	1	lstm	lstm	PROPN
ajst-29630	27	2	,	,	PUNCT
ajst-29630	27	3	a	a	DET
ajst-29630	27	4	neural	neural	ADJ
ajst-29630	27	5	network	network	NOUN
ajst-29630	27	6	model	model	NOUN
ajst-29630	27	7	specialized	specialize	VERB
ajst-29630	27	8	in	in	ADP
ajst-29630	27	9	capturing	capture	VERB
ajst-29630	27	10	long	long	ADJ
ajst-29630	27	11	-	-	PUNCT
ajst-29630	27	12	term	term	NOUN
ajst-29630	27	13	dependencies	dependency	NOUN
ajst-29630	27	14	in	in	ADP
ajst-29630	27	15	time	time	NOUN
ajst-29630	27	16	-	-	PUNCT
ajst-29630	27	17	series	series	NOUN
ajst-29630	27	18	data	datum	NOUN
ajst-29630	27	19	,	,	PUNCT
ajst-29630	27	20	is	be	AUX
ajst-29630	27	21	particularly	particularly	ADV
ajst-29630	27	22	suited	suit	VERB
ajst-29630	27	23	for	for	ADP
ajst-29630	27	24	scenarios	scenario	NOUN
ajst-29630	27	25	with	with	ADP
ajst-29630	27	26	complex	complex	ADJ
ajst-29630	27	27	temporal	temporal	ADJ
ajst-29630	27	28	relationships	relationship	NOUN
ajst-29630	27	29	.	.	PUNCT
ajst-29630	28	1	factors	factor	NOUN
ajst-29630	28	2	influencing	influence	VERB
ajst-29630	28	3	lng	lng	PROPN
ajst-29630	28	4	pipeline	pipeline	PROPN
ajst-29630	28	5	transportation	transportation	NOUN
ajst-29630	28	6	distance[9	distance[9	PROPN
ajst-29630	28	7	]	]	X
ajst-29630	28	8	,	,	PUNCT
ajst-29630	28	9	such	such	ADJ
ajst-29630	28	10	as	as	ADP
ajst-29630	28	11	climate	climate	NOUN
ajst-29630	28	12	variations	variation	NOUN
ajst-29630	28	13	,	,	PUNCT
ajst-29630	28	14	flow	flow	NOUN
ajst-29630	28	15	rate	rate	NOUN
ajst-29630	28	16	fluctuations	fluctuation	NOUN
ajst-29630	28	17	,	,	PUNCT
ajst-29630	28	18	and	and	CCONJ
ajst-29630	28	19	pressure	pressure	NOUN
ajst-29630	28	20	changes	change	NOUN
ajst-29630	28	21	—	—	PUNCT
ajst-29630	28	22	often	often	ADV
ajst-29630	28	23	exhibit	exhibit	VERB
ajst-29630	28	24	long	long	ADJ
ajst-29630	28	25	-	-	PUNCT
ajst-29630	28	26	term	term	NOUN
ajst-29630	28	27	dependencies	dependency	NOUN
ajst-29630	28	28	.	.	PUNCT
ajst-29630	29	1	lstm	lstm	PROPN
ajst-29630	29	2	’s	’s	PART
ajst-29630	29	3	memory	memory	NOUN
ajst-29630	29	4	cells	cell	NOUN
ajst-29630	29	5	enable	enable	VERB
ajst-29630	29	6	it	it	PRON
ajst-29630	29	7	to	to	PART
ajst-29630	29	8	learn	learn	VERB
ajst-29630	29	9	and	and	CCONJ
ajst-29630	29	10	retain	retain	VERB
ajst-29630	29	11	historical	historical	ADJ
ajst-29630	29	12	patterns	pattern	NOUN
ajst-29630	29	13	,	,	PUNCT
ajst-29630	29	14	improving	improve	VERB
ajst-29630	29	15	prediction	prediction	NOUN
ajst-29630	29	16	accuracy	accuracy	NOUN
ajst-29630	29	17	.	.	PUNCT
ajst-29630	30	1	additionally	additionally	ADV
ajst-29630	30	2	,	,	PUNCT
ajst-29630	30	3	lstm	lstm	NOUN
ajst-29630	30	4	demonstrates	demonstrate	VERB
ajst-29630	30	5	strong	strong	ADJ
ajst-29630	30	6	robustness	robustness	NOUN
ajst-29630	30	7	against	against	ADP
ajst-29630	30	8	data	datum	NOUN
ajst-29630	30	9	noise	noise	NOUN
ajst-29630	30	10	and	and	CCONJ
ajst-29630	30	11	effectively	effectively	ADV
ajst-29630	30	12	handles	handle	VERB
ajst-29630	30	13	complex	complex	ADJ
ajst-29630	30	14	,	,	PUNCT
ajst-29630	30	15	highly	highly	ADV
ajst-29630	30	16	volatile	volatile	ADJ
ajst-29630	30	17	datasets	dataset	NOUN
ajst-29630	30	18	,	,	PUNCT
ajst-29630	30	19	enhancing	enhance	VERB
ajst-29630	30	20	prediction	prediction	NOUN
ajst-29630	30	21	stability	stability	NOUN
ajst-29630	30	22	.	.	PUNCT
ajst-29630	31	1	compared	compare	VERB
ajst-29630	31	2	to	to	ADP
ajst-29630	31	3	traditional	traditional	ADJ
ajst-29630	31	4	methods	method	NOUN
ajst-29630	31	5	,	,	PUNCT
ajst-29630	31	6	lstm	lstm	NOUN
ajst-29630	31	7	better	well	ADV
ajst-29630	31	8	captures	capture	VERB
ajst-29630	31	9	latent	latent	ADJ
ajst-29630	31	10	nonlinear	nonlinear	ADJ
ajst-29630	31	11	patterns	pattern	NOUN
ajst-29630	31	12	,	,	PUNCT
ajst-29630	31	13	enabling	enable	VERB
ajst-29630	31	14	precise	precise	ADJ
ajst-29630	31	15	predictions	prediction	NOUN
ajst-29630	31	16	even	even	ADV
ajst-29630	31	17	under	under	ADP
ajst-29630	31	18	high	high	ADJ
ajst-29630	31	19	uncertainty	uncertainty	NOUN
ajst-29630	31	20	.	.	PUNCT
ajst-29630	32	1	this	this	DET
ajst-29630	32	2	capability	capability	NOUN
ajst-29630	32	3	supports	support	VERB
ajst-29630	32	4	optimized	optimize	VERB
ajst-29630	32	5	pipeline	pipeline	NOUN
ajst-29630	32	6	design	design	NOUN
ajst-29630	32	7	and	and	CCONJ
ajst-29630	32	8	operational	operational	ADJ
ajst-29630	32	9	management	management	NOUN
ajst-29630	32	10	,	,	PUNCT
ajst-29630	32	11	making	make	VERB
ajst-29630	32	12	it	it	PRON
ajst-29630	32	13	a	a	DET
ajst-29630	32	14	practical	practical	ADJ
ajst-29630	32	15	tool	tool	NOUN
ajst-29630	32	16	for	for	ADP
ajst-29630	32	17	real	real	ADJ
ajst-29630	32	18	-	-	PUNCT
ajst-29630	32	19	world	world	NOUN
ajst-29630	32	20	applications	application	NOUN
ajst-29630	32	21	.	.	PUNCT
ajst-29630	33	1	2	2	X
ajst-29630	33	2	.	.	X
ajst-29630	33	3	lstm	lstm	ADJ
ajst-29630	33	4	algorithm	algorithm	NOUN
ajst-29630	33	5	training	train	VERB
ajst-29630	33	6	2.1	2.1	NUM
ajst-29630	33	7	.	.	PUNCT
ajst-29630	34	1	lstm	lstm	ADJ
ajst-29630	34	2	algorithm	algorithm	PROPN
ajst-29630	34	3	principle	principle	NOUN
ajst-29630	34	4	lstm	lstm	NOUN
ajst-29630	34	5	is	be	AUX
ajst-29630	34	6	a	a	DET
ajst-29630	34	7	special	special	ADJ
ajst-29630	34	8	variant	variant	NOUN
ajst-29630	34	9	of	of	ADP
ajst-29630	34	10	recurrent	recurrent	ADJ
ajst-29630	34	11	neural	neural	ADJ
ajst-29630	34	12	network	network	NOUN
ajst-29630	34	13	.	.	PUNCT
ajst-29630	35	1	it	it	PRON
ajst-29630	35	2	is	be	AUX
ajst-29630	35	3	often	often	ADV
ajst-29630	35	4	used	use	VERB
ajst-29630	35	5	to	to	PART
ajst-29630	35	6	predict	predict	VERB
ajst-29630	35	7	various	various	ADJ
ajst-29630	35	8	time	time	NOUN
ajst-29630	35	9	series	series	NOUN
ajst-29630	35	10	by	by	ADP
ajst-29630	35	11	introducing	introduce	VERB
ajst-29630	35	12	special	special	ADJ
ajst-29630	35	13	"	"	PUNCT
ajst-29630	35	14	gate	gate	ADJ
ajst-29630	35	15	"	"	PUNCT
ajst-29630	35	16	units	unit	NOUN
ajst-29630	35	17	.	.	PUNCT
ajst-29630	36	1	lstm	lstm	PROPN
ajst-29630	36	2	network	network	NOUN
ajst-29630	36	3	has	have	VERB
ajst-29630	36	4	three	three	NUM
ajst-29630	36	5	"	"	PUNCT
ajst-29630	36	6	gate	gate	ADJ
ajst-29630	36	7	"	"	PUNCT
ajst-29630	36	8	units	unit	NOUN
ajst-29630	36	9	:	:	PUNCT
ajst-29630	36	10	forget	forget	VERB
ajst-29630	36	11	gate	gate	NOUN
ajst-29630	36	12	,	,	PUNCT
ajst-29630	36	13	input	input	NOUN
ajst-29630	36	14	gate	gate	NOUN
ajst-29630	36	15	and	and	CCONJ
ajst-29630	36	16	output	output	NOUN
ajst-29630	36	17	gate	gate	NOUN
ajst-29630	36	18	.	.	PUNCT
ajst-29630	37	1	the	the	DET
ajst-29630	37	2	three	three	NUM
ajst-29630	37	3	work	work	NOUN
ajst-29630	37	4	together	together	ADV
ajst-29630	37	5	to	to	PART
ajst-29630	37	6	complete	complete	VERB
ajst-29630	37	7	the	the	DET
ajst-29630	37	8	data	datum	NOUN
ajst-29630	37	9	processing	processing	NOUN
ajst-29630	37	10	.	.	PUNCT
ajst-29630	38	1	figure	figure	NOUN
ajst-29630	38	2	1	1	NUM
ajst-29630	38	3	shows	show	VERB
ajst-29630	38	4	the	the	DET
ajst-29630	38	5	335	335	NUM
ajst-29630	38	6	structure	structure	NOUN
ajst-29630	38	7	of	of	ADP
ajst-29630	38	8	the	the	DET
ajst-29630	38	9	classic	classic	ADJ
ajst-29630	38	10	lstm	lstm	NOUN
ajst-29630	38	11	unit	unit	NOUN
ajst-29630	38	12	.	.	PUNCT
ajst-29630	39	1	the	the	DET
ajst-29630	39	2	memory	memory	NOUN
ajst-29630	39	3	cell	cell	NOUN
ajst-29630	39	4	of	of	ADP
ajst-29630	39	5	lstm	lstm	NOUN
ajst-29630	39	6	is	be	AUX
ajst-29630	39	7	composed	compose	VERB
ajst-29630	39	8	of	of	ADP
ajst-29630	39	9	input	input	NOUN
ajst-29630	39	10	gate	gate	NOUN
ajst-29630	39	11	,	,	PUNCT
ajst-29630	39	12	forget	forget	VERB
ajst-29630	39	13	gate	gate	NOUN
ajst-29630	39	14	and	and	CCONJ
ajst-29630	39	15	output	output	NOUN
ajst-29630	39	16	gate	gate	NOUN
ajst-29630	39	17	respectively	respectively	ADV
ajst-29630	39	18	.	.	PUNCT
ajst-29630	40	1	the	the	DET
ajst-29630	40	2	sigmoid	sigmoid	NOUN
ajst-29630	40	3	and	and	CCONJ
ajst-29630	40	4	tanh	tanh	NOUN
ajst-29630	40	5	in	in	ADP
ajst-29630	40	6	the	the	DET
ajst-29630	40	7	figure	figure	NOUN
ajst-29630	40	8	are	be	AUX
ajst-29630	40	9	activation	activation	NOUN
ajst-29630	40	10	functions[10	functions[10	NUM
ajst-29630	40	11	]	]	PUNCT
ajst-29630	40	12	.	.	PUNCT
ajst-29630	41	1	figure	figure	NOUN
ajst-29630	41	2	1	1	NUM
ajst-29630	41	3	.	.	PUNCT
ajst-29630	42	1	lstm	lstm	ADJ
ajst-29630	42	2	network	network	NOUN
ajst-29630	42	3	structure	structure	NOUN
ajst-29630	42	4	the	the	DET
ajst-29630	42	5	specific	specific	ADJ
ajst-29630	42	6	calculation	calculation	NOUN
ajst-29630	42	7	process	process	NOUN
ajst-29630	42	8	of	of	ADP
ajst-29630	42	9	the	the	DET
ajst-29630	42	10	input	input	NOUN
ajst-29630	42	11	gate	gate	NOUN
ajst-29630	42	12	,	,	PUNCT
ajst-29630	42	13	forget	forget	VERB
ajst-29630	42	14	gate	gate	NOUN
ajst-29630	42	15	,	,	PUNCT
ajst-29630	42	16	output	output	NOUN
ajst-29630	42	17	gate	gate	NOUN
ajst-29630	42	18	and	and	CCONJ
ajst-29630	42	19	network	network	NOUN
ajst-29630	42	20	output	output	NOUN
ajst-29630	42	21	value	value	NOUN
ajst-29630	42	22	h	h	NOUN
ajst-29630	42	23	of	of	ADP
ajst-29630	42	24	the	the	DET
ajst-29630	42	25	lstm	lstm	PROPN
ajst-29630	42	26	network	network	NOUN
ajst-29630	42	27	is	be	AUX
ajst-29630	42	28	as	as	SCONJ
ajst-29630	42	29	follows	follow	VERB
ajst-29630	42	30	:	:	PUNCT
ajst-29630	42	31	the	the	DET
ajst-29630	42	32	input	input	NOUN
ajst-29630	42	33	gate	gate	NOUN
ajst-29630	42	34	is	be	AUX
ajst-29630	42	35	used	use	VERB
ajst-29630	42	36	to	to	PART
ajst-29630	42	37	control	control	VERB
ajst-29630	42	38	the	the	DET
ajst-29630	42	39	network	network	NOUN
ajst-29630	42	40	’s	’s	PART
ajst-29630	42	41	current	current	ADJ
ajst-29630	42	42	input	input	NOUN
ajst-29630	42	43	data	datum	NOUN
ajst-29630	42	44	xi	xi	PROPN
ajst-29630	42	45	.	.	PUNCT
ajst-29630	43	1			NOUN
ajst-29630	43	2	t	t	ADJ
ajst-29630	43	3	1	1	NUM
ajst-29630	43	4	t	t	NOUN
ajst-29630	43	5	xi	xi	INTJ
ajst-29630	44	1	hi	hi	INTJ
ajst-29630	44	2	t	t	PROPN
ajst-29630	44	3	ii	ii	PROPN
ajst-29630	44	4	x	x	X
ajst-29630	44	5	h	h	PROPN
ajst-29630	44	6	b	b	PROPN
ajst-29630	44	7			PROPN
ajst-29630	44	8			PUNCT
ajst-29630	44	9	w	w	PROPN
ajst-29630	44	10	w	w	NOUN
ajst-29630	44	11	in	in	ADP
ajst-29630	44	12	the	the	DET
ajst-29630	44	13	formula	formula	NOUN
ajst-29630	44	14	,	,	PUNCT
ajst-29630	44	15	it	it	PRON
ajst-29630	44	16	represents	represent	VERB
ajst-29630	44	17	the	the	DET
ajst-29630	44	18	input	input	NOUN
ajst-29630	44	19	gate	gate	NOUN
ajst-29630	44	20	output	output	NOUN
ajst-29630	44	21	of	of	ADP
ajst-29630	44	22	the	the	DET
ajst-29630	44	23	network	network	NOUN
ajst-29630	44	24	;	;	PUNCT
ajst-29630	44	25	σ	σ	PROPN
ajst-29630	44	26	is	be	AUX
ajst-29630	44	27	the	the	DET
ajst-29630	44	28	sigmoid	sigmoid	NOUN
ajst-29630	44	29	activation	activation	NOUN
ajst-29630	44	30	function	function	NOUN
ajst-29630	44	31	;	;	PUNCT
ajst-29630	44	32	wxi	wxi	NOUN
ajst-29630	44	33	and	and	CCONJ
ajst-29630	44	34	whi	whi	PROPN
ajst-29630	44	35	represent	represent	VERB
ajst-29630	44	36	the	the	DET
ajst-29630	44	37	weight	weight	NOUN
ajst-29630	44	38	matrices	matrix	NOUN
ajst-29630	44	39	of	of	ADP
ajst-29630	44	40	the	the	DET
ajst-29630	44	41	input	input	NOUN
ajst-29630	44	42	gate	gate	NOUN
ajst-29630	44	43	multiplied	multiply	VERB
ajst-29630	44	44	by	by	ADP
ajst-29630	44	45	xt	xt	PROPN
ajst-29630	44	46	and	and	CCONJ
ajst-29630	44	47	ht–1	ht–1	PROPN
ajst-29630	44	48	respectively	respectively	ADV
ajst-29630	44	49	;	;	PUNCT
ajst-29630	44	50	xt	xt	X
ajst-29630	44	51	is	be	AUX
ajst-29630	44	52	the	the	DET
ajst-29630	44	53	input	input	NOUN
ajst-29630	44	54	data	datum	NOUN
ajst-29630	44	55	at	at	ADP
ajst-29630	44	56	time	time	NOUN
ajst-29630	44	57	t	t	PROPN
ajst-29630	44	58	;	;	PUNCT
ajst-29630	44	59	ht–1	ht–1	PROPN
ajst-29630	44	60	is	be	AUX
ajst-29630	44	61	the	the	DET
ajst-29630	44	62	output	output	NOUN
ajst-29630	44	63	of	of	ADP
ajst-29630	44	64	the	the	DET
ajst-29630	44	65	hidden	hide	VERB
ajst-29630	44	66	layer	layer	NOUN
ajst-29630	44	67	at	at	ADP
ajst-29630	44	68	time	time	NOUN
ajst-29630	44	69	t–1	t–1	NOUN
ajst-29630	44	70	;	;	PUNCT
ajst-29630	44	71	bi	bi	NOUN
ajst-29630	44	72	is	be	AUX
ajst-29630	44	73	the	the	DET
ajst-29630	44	74	bias	bias	NOUN
ajst-29630	44	75	of	of	ADP
ajst-29630	44	76	the	the	DET
ajst-29630	44	77	input	input	NOUN
ajst-29630	44	78	gate	gate	NOUN
ajst-29630	44	79	.	.	PUNCT
ajst-29630	45	1	then	then	ADV
ajst-29630	45	2	the	the	DET
ajst-29630	45	3	forget	forget	NOUN
ajst-29630	45	4	gate	gate	NOUN
ajst-29630	45	5	is	be	AUX
ajst-29630	45	6	a	a	DET
ajst-29630	45	7	key	key	ADJ
ajst-29630	45	8	component	component	NOUN
ajst-29630	45	9	of	of	ADP
ajst-29630	45	10	lstm[11	lstm[11	PROPN
ajst-29630	45	11	]	]	PUNCT
ajst-29630	45	12	.	.	PUNCT
ajst-29630	46	1			PROPN
ajst-29630	46	2	1	1	PROPN
ajst-29630	46	3	t	t	PROPN
ajst-29630	46	4	xf	xf	PROPN
ajst-29630	46	5	t	t	PROPN
ajst-29630	46	6	hf	hf	PROPN
ajst-29630	46	7	t	t	PROPN
ajst-29630	47	1	ff	ff	INTJ
ajst-29630	47	2	x	x	PROPN
ajst-29630	47	3	h	h	PROPN
ajst-29630	47	4	b	b	PROPN
ajst-29630	47	5			PROPN
ajst-29630	47	6			PUNCT
ajst-29630	47	7	w	w	PROPN
ajst-29630	47	8	w	w	PROPN
ajst-29630	47	9			PROPN
ajst-29630	47	10	1tanht	1tanht	NOUN
ajst-29630	48	1	xc	xc	PROPN
ajst-29630	48	2	t	t	PROPN
ajst-29630	48	3	hc	hc	PROPN
ajst-29630	48	4	t	t	PROPN
ajst-29630	48	5	cc	cc	PROPN
ajst-29630	48	6	x	x	PROPN
ajst-29630	48	7	h	h	NOUN
ajst-29630	48	8	b	b	PROPN
ajst-29630	48	9			ADV
ajst-29630	48	10	w	w	NOUN
ajst-29630	48	11	w	w	PUNCT
ajst-29630	48	12	1	1	NUM
ajst-29630	48	13	t	t	NOUN
ajst-29630	48	14	t	t	NOUN
ajst-29630	48	15	t	t	PROPN
ajst-29630	48	16	t	t	PROPN
ajst-29630	49	1	tc	tc	INTJ
ajst-29630	49	2	f	f	PROPN
ajst-29630	50	1	c	c	NOUN
ajst-29630	51	1	i	i	PRON
ajst-29630	51	2	c	c	PROPN
ajst-29630	51	3			ADV
ajst-29630	51	4			PROPN
ajst-29630	51	5			ADJ
ajst-29630	51	6			NOUN
ajst-29630	51	7	in	in	ADP
ajst-29630	51	8	the	the	DET
ajst-29630	51	9	formula	formula	NOUN
ajst-29630	51	10	,	,	PUNCT
ajst-29630	51	11	ft	ft	PROPN
ajst-29630	51	12	represents	represent	VERB
ajst-29630	51	13	the	the	DET
ajst-29630	51	14	output	output	NOUN
ajst-29630	51	15	of	of	ADP
ajst-29630	51	16	the	the	DET
ajst-29630	51	17	network	network	NOUN
ajst-29630	51	18	forget	forget	VERB
ajst-29630	51	19	gate	gate	NOUN
ajst-29630	51	20	;	;	PUNCT
ajst-29630	51	21	wxf	wxf	NOUN
ajst-29630	51	22	and	and	CCONJ
ajst-29630	51	23	whf	whf	PROPN
ajst-29630	51	24	are	be	AUX
ajst-29630	51	25	the	the	DET
ajst-29630	51	26	weight	weight	NOUN
ajst-29630	51	27	matrices	matrix	NOUN
ajst-29630	51	28	of	of	ADP
ajst-29630	51	29	the	the	DET
ajst-29630	51	30	forget	forget	NOUN
ajst-29630	51	31	gate	gate	NOUN
ajst-29630	51	32	multiplied	multiply	VERB
ajst-29630	51	33	by	by	ADP
ajst-29630	51	34	xt	xt	PROPN
ajst-29630	51	35	and	and	CCONJ
ajst-29630	51	36	ht–1	ht–1	PROPN
ajst-29630	51	37	respectively	respectively	ADV
ajst-29630	51	38	;	;	PUNCT
ajst-29630	51	39	wxc	wxc	NOUN
ajst-29630	51	40	and	and	CCONJ
ajst-29630	51	41	whc	whc	PROPN
ajst-29630	51	42	are	be	AUX
ajst-29630	51	43	the	the	DET
ajst-29630	51	44	weight	weight	NOUN
ajst-29630	51	45	matrices	matrix	NOUN
ajst-29630	51	46	of	of	ADP
ajst-29630	51	47	the	the	DET
ajst-29630	51	48	memory	memory	NOUN
ajst-29630	51	49	node	node	NOUN
ajst-29630	51	50	multiplied	multiply	VERB
ajst-29630	51	51	by	by	ADP
ajst-29630	51	52	xt	xt	PROPN
ajst-29630	51	53	and	and	CCONJ
ajst-29630	51	54	ht–1	ht–1	PROPN
ajst-29630	51	55	respectively	respectively	ADV
ajst-29630	51	56	;	;	PUNCT
ajst-29630	51	57	bf	bf	NOUN
ajst-29630	51	58	and	and	CCONJ
ajst-29630	51	59	bc	bc	PROPN
ajst-29630	51	60	are	be	AUX
ajst-29630	51	61	the	the	DET
ajst-29630	51	62	biases	bias	NOUN
ajst-29630	51	63	of	of	ADP
ajst-29630	51	64	the	the	DET
ajst-29630	51	65	forget	forget	NOUN
ajst-29630	51	66	gate	gate	NOUN
ajst-29630	51	67	and	and	CCONJ
ajst-29630	51	68	the	the	DET
ajst-29630	51	69	output	output	NOUN
ajst-29630	51	70	gate	gate	NOUN
ajst-29630	51	71	respectively	respectively	ADV
ajst-29630	51	72	;	;	PUNCT
ajst-29630	51	73	tanh	tanh	PROPN
ajst-29630	51	74	is	be	AUX
ajst-29630	51	75	the	the	DET
ajst-29630	51	76	hyperbolic	hyperbolic	ADJ
ajst-29630	51	77	tangent	tangent	NOUN
ajst-29630	51	78	activation	activation	NOUN
ajst-29630	51	79	function	function	NOUN
ajst-29630	51	80	;	;	PUNCT
ajst-29630	51	81	ct–1	ct–1	PROPN
ajst-29630	51	82	and	and	CCONJ
ajst-29630	51	83	ct	ct	PROPN
ajst-29630	51	84	are	be	AUX
ajst-29630	51	85	the	the	DET
ajst-29630	51	86	states	state	NOUN
ajst-29630	51	87	of	of	ADP
ajst-29630	51	88	the	the	DET
ajst-29630	51	89	cell	cell	NOUN
ajst-29630	51	90	units	unit	NOUN
ajst-29630	51	91	at	at	ADP
ajst-29630	51	92	time	time	NOUN
ajst-29630	51	93	t–1	t–1	X
ajst-29630	51	94	and	and	CCONJ
ajst-29630	51	95	t	t	PROPN
ajst-29630	51	96	respectively	respectively	ADV
ajst-29630	51	97	;	;	PUNCT
ajst-29630	51	98	ct	ct	PRON
ajst-29630	51	99	represents	represent	VERB
ajst-29630	51	100	the	the	DET
ajst-29630	51	101	candidate	candidate	NOUN
ajst-29630	51	102	memory	memory	NOUN
ajst-29630	51	103	cell	cell	NOUN
ajst-29630	51	104	.	.	PUNCT
ajst-29630	52	1	the	the	DET
ajst-29630	52	2	output	output	NOUN
ajst-29630	52	3	gate	gate	NOUN
ajst-29630	52	4	determines	determine	VERB
ajst-29630	52	5	how	how	SCONJ
ajst-29630	52	6	much	much	ADJ
ajst-29630	52	7	data	data	NOUN
ajst-29630	52	8	information	information	NOUN
ajst-29630	52	9	is	be	AUX
ajst-29630	52	10	output	output	NOUN
ajst-29630	52	11	based	base	VERB
ajst-29630	52	12	on	on	ADP
ajst-29630	52	13	the	the	DET
ajst-29630	52	14	new	new	ADJ
ajst-29630	52	15	cell	cell	NOUN
ajst-29630	52	16	state[12	state[12	NOUN
ajst-29630	52	17	]	]	PUNCT
ajst-29630	52	18	.	.	PUNCT
ajst-29630	53	1			PROPN
ajst-29630	53	2	1	1	PROPN
ajst-29630	53	3	t	t	PROPN
ajst-29630	53	4	xo	xo	PROPN
ajst-29630	53	5	t	t	PROPN
ajst-29630	53	6	ho	ho	PROPN
ajst-29630	53	7	t	t	PROPN
ajst-29630	53	8	oo	oo	INTJ
ajst-29630	53	9	x	x	PROPN
ajst-29630	53	10	h	h	PROPN
ajst-29630	53	11	b	b	PROPN
ajst-29630	53	12			PROPN
ajst-29630	53	13			PUNCT
ajst-29630	53	14	w	w	PROPN
ajst-29630	53	15	w	w	PROPN
ajst-29630	53	16			PROPN
ajst-29630	54	1	tanht	tanht	PUNCT
ajst-29630	55	1	t	t	PROPN
ajst-29630	55	2	th	th	X
ajst-29630	55	3	o	o	NOUN
ajst-29630	55	4	c	c	NOUN
ajst-29630	55	5	in	in	ADP
ajst-29630	55	6	the	the	DET
ajst-29630	55	7	formula	formula	NOUN
ajst-29630	55	8	,	,	PUNCT
ajst-29630	55	9	ht	ht	PROPN
ajst-29630	55	10	is	be	AUX
ajst-29630	55	11	the	the	DET
ajst-29630	55	12	output	output	NOUN
ajst-29630	55	13	of	of	ADP
ajst-29630	55	14	the	the	DET
ajst-29630	55	15	hidden	hide	VERB
ajst-29630	55	16	layer	layer	NOUN
ajst-29630	55	17	at	at	ADP
ajst-29630	55	18	time	time	NOUN
ajst-29630	55	19	t	t	PROPN
ajst-29630	55	20	;	;	PUNCT
ajst-29630	55	21	ot	ot	X
ajst-29630	55	22	is	be	AUX
ajst-29630	55	23	the	the	DET
ajst-29630	55	24	output	output	NOUN
ajst-29630	55	25	of	of	ADP
ajst-29630	55	26	the	the	DET
ajst-29630	55	27	network	network	NOUN
ajst-29630	55	28	output	output	NOUN
ajst-29630	55	29	gate	gate	NOUN
ajst-29630	55	30	;	;	PUNCT
ajst-29630	55	31	wxo	wxo	NOUN
ajst-29630	55	32	and	and	CCONJ
ajst-29630	55	33	who	who	PRON
ajst-29630	55	34	represent	represent	VERB
ajst-29630	55	35	the	the	DET
ajst-29630	55	36	weight	weight	NOUN
ajst-29630	55	37	matrices	matrix	NOUN
ajst-29630	55	38	of	of	ADP
ajst-29630	55	39	the	the	DET
ajst-29630	55	40	output	output	NOUN
ajst-29630	55	41	gate	gate	NOUN
ajst-29630	55	42	multiplied	multiply	VERB
ajst-29630	55	43	by	by	ADP
ajst-29630	55	44	xt	xt	PROPN
ajst-29630	55	45	and	and	CCONJ
ajst-29630	55	46	ht–1	ht–1	PROPN
ajst-29630	55	47	respectively	respectively	ADV
ajst-29630	55	48	.	.	PUNCT
ajst-29630	56	1	figure	figure	NOUN
ajst-29630	56	2	2	2	NUM
ajst-29630	56	3	is	be	AUX
ajst-29630	56	4	the	the	DET
ajst-29630	56	5	structure	structure	NOUN
ajst-29630	56	6	diagram	diagram	NOUN
ajst-29630	56	7	of	of	ADP
ajst-29630	56	8	the	the	DET
ajst-29630	56	9	lstm	lstm	ADJ
ajst-29630	56	10	neural	neural	ADJ
ajst-29630	56	11	network	network	NOUN
ajst-29630	56	12	.	.	PUNCT
ajst-29630	57	1	the	the	DET
ajst-29630	57	2	long	long	ADJ
ajst-29630	57	3	short	short	ADJ
ajst-29630	57	4	-	-	PUNCT
ajst-29630	57	5	term	term	NOUN
ajst-29630	57	6	memory	memory	NOUN
ajst-29630	57	7	(	(	PUNCT
ajst-29630	57	8	lstm	lstm	ADJ
ajst-29630	57	9	)	)	PUNCT
ajst-29630	57	10	neural	neural	ADJ
ajst-29630	57	11	network	network	NOUN
ajst-29630	57	12	architecture	architecture	NOUN
ajst-29630	57	13	comprises	comprise	VERB
ajst-29630	57	14	a	a	DET
ajst-29630	57	15	recurrent	recurrent	ADJ
ajst-29630	57	16	unit	unit	NOUN
ajst-29630	57	17	designed	design	VERB
ajst-29630	57	18	to	to	PART
ajst-29630	57	19	address	address	VERB
ajst-29630	57	20	long	long	ADJ
ajst-29630	57	21	-	-	PUNCT
ajst-29630	57	22	term	term	NOUN
ajst-29630	57	23	dependency	dependency	NOUN
ajst-29630	57	24	challenges	challenge	NOUN
ajst-29630	57	25	in	in	ADP
ajst-29630	57	26	sequential	sequential	ADJ
ajst-29630	57	27	data	datum	NOUN
ajst-29630	57	28	processing	processing	NOUN
ajst-29630	57	29	.	.	PUNCT
ajst-29630	58	1	at	at	ADP
ajst-29630	58	2	its	its	PRON
ajst-29630	58	3	core	core	NOUN
ajst-29630	58	4	,	,	PUNCT
ajst-29630	58	5	the	the	DET
ajst-29630	58	6	lstm	lstm	NOUN
ajst-29630	58	7	cell	cell	NOUN
ajst-29630	58	8	integrates	integrate	VERB
ajst-29630	58	9	three	three	NUM
ajst-29630	58	10	specialized	specialized	ADJ
ajst-29630	58	11	gate	gate	NOUN
ajst-29630	58	12	mechanisms	mechanism	NOUN
ajst-29630	58	13	—	—	PUNCT
ajst-29630	58	14	forget	forget	NOUN
ajst-29630	58	15	gate	gate	NOUN
ajst-29630	58	16	,	,	PUNCT
ajst-29630	58	17	input	input	NOUN
ajst-29630	58	18	gate	gate	NOUN
ajst-29630	58	19	,	,	PUNCT
ajst-29630	58	20	and	and	CCONJ
ajst-29630	58	21	output	output	NOUN
ajst-29630	58	22	gate	gate	NOUN
ajst-29630	58	23	—	—	PUNCT
ajst-29630	58	24	alongside	alongside	ADP
ajst-29630	58	25	a	a	DET
ajst-29630	58	26	cell	cell	NOUN
ajst-29630	58	27	state	state	NOUN
ajst-29630	58	28	that	that	PRON
ajst-29630	58	29	serves	serve	VERB
ajst-29630	58	30	as	as	ADP
ajst-29630	58	31	a	a	DET
ajst-29630	58	32	memory	memory	NOUN
ajst-29630	58	33	pathway	pathway	NOUN
ajst-29630	58	34	.	.	PUNCT
ajst-29630	59	1	the	the	DET
ajst-29630	59	2	forget	forget	PROPN
ajst-29630	59	3	gate	gate	PROPN
ajst-29630	59	4	regulates	regulate	VERB
ajst-29630	59	5	the	the	DET
ajst-29630	59	6	retention	retention	NOUN
ajst-29630	59	7	or	or	CCONJ
ajst-29630	59	8	discarding	discard	VERB
ajst-29630	59	9	of	of	ADP
ajst-29630	59	10	historical	historical	ADJ
ajst-29630	59	11	information	information	NOUN
ajst-29630	59	12	by	by	ADP
ajst-29630	59	13	applying	apply	VERB
ajst-29630	59	14	a	a	DET
ajst-29630	59	15	sigmoid	sigmoid	NOUN
ajst-29630	59	16	activation	activation	NOUN
ajst-29630	59	17	to	to	ADP
ajst-29630	59	18	the	the	DET
ajst-29630	59	19	concatenated	concatenate	VERB
ajst-29630	59	20	previous	previous	ADJ
ajst-29630	59	21	hidden	hidden	ADJ
ajst-29630	59	22	state	state	NOUN
ajst-29630	59	23	and	and	CCONJ
ajst-29630	59	24	current	current	ADJ
ajst-29630	59	25	input	input	NOUN
ajst-29630	59	26	,	,	PUNCT
ajst-29630	59	27	producing	produce	VERB
ajst-29630	59	28	a	a	DET
ajst-29630	59	29	value	value	NOUN
ajst-29630	59	30	between	between	ADP
ajst-29630	59	31	0	0	NUM
ajst-29630	59	32	(	(	PUNCT
ajst-29630	59	33	discard	discard	ADJ
ajst-29630	59	34	)	)	PUNCT
ajst-29630	59	35	and	and	CCONJ
ajst-29630	59	36	1	1	NUM
ajst-29630	59	37	(	(	PUNCT
ajst-29630	59	38	retain	retain	VERB
ajst-29630	59	39	)	)	PUNCT
ajst-29630	59	40	.	.	PUNCT
ajst-29630	60	1	the	the	DET
ajst-29630	60	2	input	input	PROPN
ajst-29630	60	3	gate	gate	PROPN
ajst-29630	60	4	updates	update	VERB
ajst-29630	60	5	the	the	DET
ajst-29630	60	6	cell	cell	NOUN
ajst-29630	60	7	state	state	NOUN
ajst-29630	60	8	by	by	ADP
ajst-29630	60	9	combining	combine	VERB
ajst-29630	60	10	a	a	DET
ajst-29630	60	11	sigmoidactivated	sigmoidactivate	VERB
ajst-29630	60	12	filter	filter	NOUN
ajst-29630	60	13	(	(	PUNCT
ajst-29630	60	14	to	to	PART
ajst-29630	60	15	determine	determine	VERB
ajst-29630	60	16	update	update	NOUN
ajst-29630	60	17	relevance	relevance	NOUN
ajst-29630	60	18	)	)	PUNCT
ajst-29630	60	19	and	and	CCONJ
ajst-29630	60	20	a	a	DET
ajst-29630	60	21	tanhactivated	tanhactivate	VERB
ajst-29630	60	22	candidate	candidate	NOUN
ajst-29630	60	23	state	state	NOUN
ajst-29630	60	24	.	.	PUNCT
ajst-29630	61	1	the	the	DET
ajst-29630	61	2	updated	update	VERB
ajst-29630	61	3	cell	cell	NOUN
ajst-29630	61	4	state	state	NOUN
ajst-29630	61	5	is	be	AUX
ajst-29630	61	6	then	then	ADV
ajst-29630	61	7	computed	compute	VERB
ajst-29630	61	8	by	by	ADP
ajst-29630	61	9	aggregating	aggregate	VERB
ajst-29630	61	10	the	the	DET
ajst-29630	61	11	filtered	filter	VERB
ajst-29630	61	12	historical	historical	ADJ
ajst-29630	61	13	information	information	NOUN
ajst-29630	61	14	from	from	ADP
ajst-29630	61	15	the	the	DET
ajst-29630	61	16	forget	forget	NOUN
ajst-29630	61	17	gate	gate	NOUN
ajst-29630	61	18	and	and	CCONJ
ajst-29630	61	19	the	the	DET
ajst-29630	61	20	weighted	weighted	ADJ
ajst-29630	61	21	candidate	candidate	NOUN
ajst-29630	61	22	state	state	NOUN
ajst-29630	61	23	.	.	PUNCT
ajst-29630	62	1	finally	finally	ADV
ajst-29630	62	2	,	,	PUNCT
ajst-29630	62	3	the	the	DET
ajst-29630	62	4	output	output	NOUN
ajst-29630	62	5	gate	gate	NOUN
ajst-29630	62	6	modulates	modulate	VERB
ajst-29630	62	7	the	the	DET
ajst-29630	62	8	exposure	exposure	NOUN
ajst-29630	62	9	of	of	ADP
ajst-29630	62	10	the	the	DET
ajst-29630	62	11	current	current	ADJ
ajst-29630	62	12	cell	cell	NOUN
ajst-29630	62	13	state	state	NOUN
ajst-29630	62	14	to	to	ADP
ajst-29630	62	15	the	the	DET
ajst-29630	62	16	next	next	ADJ
ajst-29630	62	17	time	time	NOUN
ajst-29630	62	18	step	step	NOUN
ajst-29630	62	19	,	,	PUNCT
ajst-29630	62	20	using	use	VERB
ajst-29630	62	21	a	a	DET
ajst-29630	62	22	sigmoid	sigmoid	NOUN
ajst-29630	62	23	function	function	NOUN
ajst-29630	62	24	to	to	PART
ajst-29630	62	25	gate	gate	VERB
ajst-29630	62	26	the	the	DET
ajst-29630	62	27	tanh	tanh	NOUN
ajst-29630	62	28	-	-	PUNCT
ajst-29630	62	29	transformed	transform	VERB
ajst-29630	62	30	cell	cell	NOUN
ajst-29630	62	31	state	state	NOUN
ajst-29630	62	32	.	.	PUNCT
ajst-29630	63	1	this	this	DET
ajst-29630	63	2	gated	gate	VERB
ajst-29630	63	3	structure	structure	NOUN
ajst-29630	63	4	enables	enable	VERB
ajst-29630	63	5	lstms	lstms	ADJ
ajst-29630	63	6	to	to	PART
ajst-29630	63	7	dynamically	dynamically	ADV
ajst-29630	63	8	manage	manage	VERB
ajst-29630	63	9	information	information	NOUN
ajst-29630	63	10	flow	flow	NOUN
ajst-29630	63	11	,	,	PUNCT
ajst-29630	63	12	mitigate	mitigate	VERB
ajst-29630	63	13	gradient	gradient	ADJ
ajst-29630	63	14	vanishing	vanishing	NOUN
ajst-29630	63	15	/	/	SYM
ajst-29630	63	16	exploding	explode	VERB
ajst-29630	63	17	issues	issue	NOUN
ajst-29630	63	18	,	,	PUNCT
ajst-29630	63	19	and	and	CCONJ
ajst-29630	63	20	capture	capture	VERB
ajst-29630	63	21	complex	complex	ADJ
ajst-29630	63	22	temporal	temporal	ADJ
ajst-29630	63	23	dependencies	dependency	NOUN
ajst-29630	63	24	,	,	PUNCT
ajst-29630	63	25	making	make	VERB
ajst-29630	63	26	them	they	PRON
ajst-29630	63	27	highly	highly	ADV
ajst-29630	63	28	effective	effective	ADJ
ajst-29630	63	29	for	for	ADP
ajst-29630	63	30	time	time	NOUN
ajst-29630	63	31	-	-	PUNCT
ajst-29630	63	32	series	series	NOUN
ajst-29630	63	33	prediction	prediction	NOUN
ajst-29630	63	34	tasks	task	NOUN
ajst-29630	63	35	such	such	ADJ
ajst-29630	63	36	as	as	ADP
ajst-29630	63	37	lng	lng	PROPN
ajst-29630	63	38	pipeline	pipeline	PROPN
ajst-29630	63	39	transportation	transportation	NOUN
ajst-29630	63	40	distance	distance	NOUN
ajst-29630	63	41	forecasting	forecasting	NOUN
ajst-29630	63	42	.	.	PUNCT
ajst-29630	64	1	figure	figure	NOUN
ajst-29630	64	2	2	2	NUM
ajst-29630	64	3	.	.	PUNCT
ajst-29630	65	1	the	the	DET
ajst-29630	65	2	structure	structure	NOUN
ajst-29630	65	3	diagram	diagram	NOUN
ajst-29630	65	4	of	of	ADP
ajst-29630	65	5	the	the	DET
ajst-29630	65	6	lstm	lstm	PROPN
ajst-29630	65	7	neural	neural	ADJ
ajst-29630	65	8	network	network	NOUN
ajst-29630	65	9	336	336	NUM
ajst-29630	65	10	2.2	2.2	NUM
ajst-29630	65	11	.	.	PUNCT
ajst-29630	66	1	neural	neural	ADJ
ajst-29630	66	2	network	network	NOUN
ajst-29630	66	3	model	model	NOUN
ajst-29630	66	4	training	training	NOUN
ajst-29630	66	5	optimization	optimization	NOUN
ajst-29630	66	6	method	method	NOUN
ajst-29630	66	7	bayesian	bayesian	NOUN
ajst-29630	66	8	optimization	optimization	NOUN
ajst-29630	66	9	is	be	AUX
ajst-29630	66	10	an	an	DET
ajst-29630	66	11	effective	effective	ADJ
ajst-29630	66	12	method	method	NOUN
ajst-29630	66	13	with	with	ADP
ajst-29630	66	14	a	a	DET
ajst-29630	66	15	priori	priori	ADJ
ajst-29630	66	16	process	process	NOUN
ajst-29630	66	17	.	.	PUNCT
ajst-29630	67	1	it	it	PRON
ajst-29630	67	2	uses	use	VERB
ajst-29630	67	3	a	a	DET
ajst-29630	67	4	gaussian	gaussian	ADJ
ajst-29630	67	5	process	process	NOUN
ajst-29630	67	6	to	to	PART
ajst-29630	67	7	consider	consider	VERB
ajst-29630	67	8	previous	previous	ADJ
ajst-29630	67	9	parameter	parameter	NOUN
ajst-29630	67	10	information	information	NOUN
ajst-29630	67	11	,	,	PUNCT
ajst-29630	67	12	and	and	CCONJ
ajst-29630	67	13	continuously	continuously	ADV
ajst-29630	67	14	updates	update	VERB
ajst-29630	67	15	the	the	DET
ajst-29630	67	16	prior	prior	NOUN
ajst-29630	67	17	through	through	ADP
ajst-29630	67	18	an	an	DET
ajst-29630	67	19	a	a	DET
ajst-29630	67	20	priori	priori	ADJ
ajst-29630	67	21	assumption	assumption	NOUN
ajst-29630	67	22	,	,	PUNCT
ajst-29630	67	23	so	so	SCONJ
ajst-29630	67	24	as	as	SCONJ
ajst-29630	67	25	to	to	PART
ajst-29630	67	26	find	find	VERB
ajst-29630	67	27	a	a	DET
ajst-29630	67	28	better	well	ADJ
ajst-29630	67	29	hyperparameter	hyperparameter	NOUN
ajst-29630	67	30	combination	combination	NOUN
ajst-29630	67	31	with	with	ADP
ajst-29630	67	32	very	very	ADV
ajst-29630	67	33	few	few	ADJ
ajst-29630	67	34	steps	step	NOUN
ajst-29630	67	35	.	.	PUNCT
ajst-29630	68	1	compared	compare	VERB
ajst-29630	68	2	with	with	ADP
ajst-29630	68	3	the	the	DET
ajst-29630	68	4	shortcomings	shortcoming	NOUN
ajst-29630	68	5	of	of	ADP
ajst-29630	68	6	enumeration	enumeration	NOUN
ajst-29630	68	7	methods	method	NOUN
ajst-29630	68	8	such	such	ADJ
ajst-29630	68	9	as	as	ADP
ajst-29630	68	10	grid	grid	NOUN
ajst-29630	68	11	search	search	NOUN
ajst-29630	68	12	,	,	PUNCT
ajst-29630	68	13	which	which	PRON
ajst-29630	68	14	do	do	AUX
ajst-29630	68	15	not	not	PART
ajst-29630	68	16	consider	consider	VERB
ajst-29630	68	17	previous	previous	ADJ
ajst-29630	68	18	parameter	parameter	NOUN
ajst-29630	68	19	information	information	NOUN
ajst-29630	68	20	,	,	PUNCT
ajst-29630	68	21	are	be	AUX
ajst-29630	68	22	slow	slow	ADJ
ajst-29630	68	23	,	,	PUNCT
ajst-29630	68	24	easily	easily	ADV
ajst-29630	68	25	lead	lead	VERB
ajst-29630	68	26	to	to	ADP
ajst-29630	68	27	dimensionality	dimensionality	NOUN
ajst-29630	68	28	explosion	explosion	NOUN
ajst-29630	68	29	when	when	SCONJ
ajst-29630	68	30	there	there	PRON
ajst-29630	68	31	are	be	VERB
ajst-29630	68	32	many	many	ADJ
ajst-29630	68	33	parameters	parameter	NOUN
ajst-29630	68	34	,	,	PUNCT
ajst-29630	68	35	and	and	CCONJ
ajst-29630	68	36	are	be	AUX
ajst-29630	68	37	easy	easy	ADJ
ajst-29630	68	38	to	to	PART
ajst-29630	68	39	obtain	obtain	VERB
ajst-29630	68	40	local	local	ADJ
ajst-29630	68	41	optimal	optimal	ADJ
ajst-29630	68	42	values	value	NOUN
ajst-29630	68	43	for	for	ADP
ajst-29630	68	44	non	non	ADJ
ajst-29630	68	45	-	-	ADJ
ajst-29630	68	46	convex	convex	ADJ
ajst-29630	68	47	problems	problem	NOUN
ajst-29630	68	48	,	,	PUNCT
ajst-29630	68	49	bayesian	bayesian	NOUN
ajst-29630	68	50	parameter	parameter	NOUN
ajst-29630	68	51	adjustment	adjustment	NOUN
ajst-29630	68	52	has	have	VERB
ajst-29630	68	53	the	the	DET
ajst-29630	68	54	advantages	advantage	NOUN
ajst-29630	68	55	of	of	ADP
ajst-29630	68	56	fewer	few	ADJ
ajst-29630	68	57	iterations	iteration	NOUN
ajst-29630	68	58	,	,	PUNCT
ajst-29630	68	59	high	high	ADJ
ajst-29630	68	60	efficiency	efficiency	NOUN
ajst-29630	68	61	,	,	PUNCT
ajst-29630	68	62	and	and	CCONJ
ajst-29630	68	63	robust	robust	ADJ
ajst-29630	68	64	performance	performance	NOUN
ajst-29630	68	65	for	for	ADP
ajst-29630	68	66	non	non	ADJ
ajst-29630	68	67	-	-	ADJ
ajst-29630	68	68	convex	convex	ADJ
ajst-29630	68	69	problems	problem	NOUN
ajst-29630	68	70	and	and	CCONJ
ajst-29630	68	71	high	high	ADJ
ajst-29630	68	72	-	-	PUNCT
ajst-29630	68	73	dimensional	dimensional	ADJ
ajst-29630	68	74	functions	function	NOUN
ajst-29630	68	75	.	.	PUNCT
ajst-29630	69	1	therefore	therefore	ADV
ajst-29630	69	2	,	,	PUNCT
ajst-29630	69	3	bayesian	bayesian	NOUN
ajst-29630	69	4	parameter	parameter	NOUN
ajst-29630	69	5	optimization	optimization	NOUN
ajst-29630	69	6	has	have	AUX
ajst-29630	69	7	become	become	VERB
ajst-29630	69	8	the	the	DET
ajst-29630	69	9	most	most	ADV
ajst-29630	69	10	commonly	commonly	ADV
ajst-29630	69	11	used	use	VERB
ajst-29630	69	12	hyperparameter	hyperparameter	NOUN
ajst-29630	69	13	adjustment	adjustment	NOUN
ajst-29630	69	14	tool	tool	NOUN
ajst-29630	69	15	for	for	ADP
ajst-29630	69	16	deep	deep	ADJ
ajst-29630	69	17	learning	learning	NOUN
ajst-29630	69	18	.	.	PUNCT
ajst-29630	70	1	in	in	ADP
ajst-29630	70	2	recent	recent	ADJ
ajst-29630	70	3	years	year	NOUN
ajst-29630	70	4	,	,	PUNCT
ajst-29630	70	5	many	many	ADJ
ajst-29630	70	6	scholars	scholar	NOUN
ajst-29630	70	7	have	have	AUX
ajst-29630	70	8	used	use	VERB
ajst-29630	70	9	bayesian	bayesian	NOUN
ajst-29630	70	10	optimization	optimization	NOUN
ajst-29630	70	11	for	for	ADP
ajst-29630	70	12	parameter	parameter	NOUN
ajst-29630	70	13	optimization	optimization	NOUN
ajst-29630	70	14	of	of	ADP
ajst-29630	70	15	deep	deep	ADJ
ajst-29630	70	16	learning	learning	NOUN
ajst-29630	70	17	.	.	PUNCT
ajst-29630	71	1	the	the	DET
ajst-29630	71	2	essence	essence	NOUN
ajst-29630	71	3	of	of	ADP
ajst-29630	71	4	bayesian	bayesian	NOUN
ajst-29630	71	5	optimization	optimization	NOUN
ajst-29630	71	6	is	be	AUX
ajst-29630	71	7	to	to	PART
ajst-29630	71	8	consider	consider	VERB
ajst-29630	71	9	hyperparameter	hyperparameter	NOUN
ajst-29630	71	10	optimization	optimization	NOUN
ajst-29630	71	11	as	as	ADP
ajst-29630	71	12	an	an	DET
ajst-29630	71	13	optimization	optimization	NOUN
ajst-29630	71	14	problem	problem	NOUN
ajst-29630	71	15	to	to	PART
ajst-29630	71	16	solve	solve	VERB
ajst-29630	71	17	,	,	PUNCT
ajst-29630	71	18	as	as	SCONJ
ajst-29630	71	19	shown	show	VERB
ajst-29630	71	20	in	in	ADP
ajst-29630	71	21	the	the	DET
ajst-29630	71	22	following	follow	VERB
ajst-29630	71	23	formula	formula	NOUN
ajst-29630	71	24	:	:	PUNCT
ajst-29630	71	25	*	*	PUNCT
ajst-29630	71	26	arg	arg	NOUN
ajst-29630	71	27	min	min	NOUN
ajst-29630	71	28	(	(	PUNCT
ajst-29630	71	29	)	)	PUNCT
ajst-29630	71	30	dx	dx	PROPN
ajst-29630	71	31	r	r	NOUN
ajst-29630	71	32	x	x	SYM
ajst-29630	71	33	f	f	X
ajst-29630	71	34	x	x	PROPN
ajst-29630	71	35			PROPN
ajst-29630	71	36			PROPN
ajst-29630	71	37			PROPN
ajst-29630	71	38	in	in	ADP
ajst-29630	71	39	the	the	DET
ajst-29630	71	40	formula	formula	NOUN
ajst-29630	71	41	,	,	PUNCT
ajst-29630	71	42	x	x	X
ajst-29630	71	43	*	*	PUNCT
ajst-29630	71	44	represents	represent	VERB
ajst-29630	71	45	the	the	DET
ajst-29630	71	46	d	d	ADJ
ajst-29630	71	47	-	-	ADJ
ajst-29630	71	48	dimensional	dimensional	ADJ
ajst-29630	71	49	decision	decision	NOUN
ajst-29630	71	50	vector	vector	NOUN
ajst-29630	71	51	,	,	PUNCT
ajst-29630	71	52	which	which	PRON
ajst-29630	71	53	represents	represent	VERB
ajst-29630	71	54	the	the	DET
ajst-29630	71	55	hyperparameters	hyperparameter	NOUN
ajst-29630	71	56	of	of	ADP
ajst-29630	71	57	the	the	DET
ajst-29630	71	58	algorithm	algorithm	NOUN
ajst-29630	71	59	model	model	NOUN
ajst-29630	71	60	such	such	ADJ
ajst-29630	71	61	as	as	ADP
ajst-29630	71	62	learning	learn	VERB
ajst-29630	71	63	rate	rate	NOUN
ajst-29630	71	64	,	,	PUNCT
ajst-29630	71	65	and	and	CCONJ
ajst-29630	71	66	f(x	f(x	PROPN
ajst-29630	71	67	)	)	PUNCT
ajst-29630	71	68	is	be	AUX
ajst-29630	71	69	the	the	DET
ajst-29630	71	70	objective	objective	ADJ
ajst-29630	71	71	function	function	NOUN
ajst-29630	71	72	to	to	PART
ajst-29630	71	73	be	be	AUX
ajst-29630	71	74	optimized	optimize	VERB
ajst-29630	71	75	.	.	PUNCT
ajst-29630	72	1	the	the	DET
ajst-29630	72	2	prediction	prediction	NOUN
ajst-29630	72	3	data	datum	NOUN
ajst-29630	72	4	mainly	mainly	ADV
ajst-29630	72	5	comes	come	VERB
ajst-29630	72	6	from	from	ADP
ajst-29630	72	7	the	the	DET
ajst-29630	72	8	real	real	ADJ
ajst-29630	72	9	-	-	PUNCT
ajst-29630	72	10	time	time	NOUN
ajst-29630	72	11	operation	operation	NOUN
ajst-29630	72	12	monitoring	monitoring	NOUN
ajst-29630	72	13	data	datum	NOUN
ajst-29630	72	14	of	of	ADP
ajst-29630	72	15	the	the	DET
ajst-29630	72	16	lng	lng	NOUN
ajst-29630	72	17	long	long	ADJ
ajst-29630	72	18	-	-	PUNCT
ajst-29630	72	19	distance	distance	NOUN
ajst-29630	72	20	pipeline	pipeline	NOUN
ajst-29630	72	21	,	,	PUNCT
ajst-29630	72	22	including	include	VERB
ajst-29630	72	23	key	key	ADJ
ajst-29630	72	24	parameters	parameter	NOUN
ajst-29630	72	25	such	such	ADJ
ajst-29630	72	26	as	as	ADP
ajst-29630	72	27	pressure	pressure	NOUN
ajst-29630	72	28	,	,	PUNCT
ajst-29630	72	29	flow	flow	NOUN
ajst-29630	72	30	rate	rate	NOUN
ajst-29630	72	31	,	,	PUNCT
ajst-29630	72	32	temperature	temperature	NOUN
ajst-29630	72	33	,	,	PUNCT
ajst-29630	72	34	liquid	liquid	ADJ
ajst-29630	72	35	density	density	NOUN
ajst-29630	72	36	,	,	PUNCT
ajst-29630	72	37	etc	etc	X
ajst-29630	72	38	.	.	X
ajst-29630	72	39	in	in	ADP
ajst-29630	72	40	the	the	DET
ajst-29630	72	41	pipeline	pipeline	NOUN
ajst-29630	72	42	.	.	PUNCT
ajst-29630	73	1	these	these	DET
ajst-29630	73	2	data	datum	NOUN
ajst-29630	73	3	are	be	AUX
ajst-29630	73	4	collected	collect	VERB
ajst-29630	73	5	in	in	ADP
ajst-29630	73	6	real	real	ADJ
ajst-29630	73	7	time	time	NOUN
ajst-29630	73	8	through	through	ADP
ajst-29630	73	9	sensors	sensor	NOUN
ajst-29630	73	10	installed	instal	VERB
ajst-29630	73	11	at	at	ADP
ajst-29630	73	12	various	various	ADJ
ajst-29630	73	13	nodes	node	NOUN
ajst-29630	73	14	of	of	ADP
ajst-29630	73	15	the	the	DET
ajst-29630	73	16	pipeline	pipeline	NOUN
ajst-29630	73	17	.	.	PUNCT
ajst-29630	74	1	in	in	ADP
ajst-29630	74	2	order	order	NOUN
ajst-29630	74	3	to	to	PART
ajst-29630	74	4	ensure	ensure	VERB
ajst-29630	74	5	the	the	DET
ajst-29630	74	6	accuracy	accuracy	NOUN
ajst-29630	74	7	of	of	ADP
ajst-29630	74	8	the	the	DET
ajst-29630	74	9	prediction	prediction	NOUN
ajst-29630	74	10	model	model	NOUN
ajst-29630	74	11	,	,	PUNCT
ajst-29630	74	12	the	the	DET
ajst-29630	74	13	data	datum	NOUN
ajst-29630	74	14	set	set	VERB
ajst-29630	74	15	also	also	ADV
ajst-29630	74	16	covers	cover	VERB
ajst-29630	74	17	historical	historical	ADJ
ajst-29630	74	18	operation	operation	NOUN
ajst-29630	74	19	data	datum	NOUN
ajst-29630	74	20	,	,	PUNCT
ajst-29630	74	21	such	such	ADJ
ajst-29630	74	22	as	as	ADP
ajst-29630	74	23	past	past	ADJ
ajst-29630	74	24	transportation	transportation	NOUN
ajst-29630	74	25	distances	distance	NOUN
ajst-29630	74	26	,	,	PUNCT
ajst-29630	74	27	fault	fault	NOUN
ajst-29630	74	28	records	record	NOUN
ajst-29630	74	29	,	,	PUNCT
ajst-29630	74	30	maintenance	maintenance	NOUN
ajst-29630	74	31	records	record	NOUN
ajst-29630	74	32	,	,	PUNCT
ajst-29630	74	33	etc	etc	X
ajst-29630	74	34	.	.	X
ajst-29630	74	35	,	,	PUNCT
ajst-29630	74	36	which	which	PRON
ajst-29630	74	37	help	help	VERB
ajst-29630	74	38	capture	capture	VERB
ajst-29630	74	39	long	long	ADJ
ajst-29630	74	40	-	-	PUNCT
ajst-29630	74	41	term	term	NOUN
ajst-29630	74	42	trends	trend	NOUN
ajst-29630	74	43	and	and	CCONJ
ajst-29630	74	44	cyclical	cyclical	ADJ
ajst-29630	74	45	changes	change	NOUN
ajst-29630	74	46	in	in	ADP
ajst-29630	74	47	pipeline	pipeline	NOUN
ajst-29630	74	48	operations	operation	NOUN
ajst-29630	74	49	.	.	PUNCT
ajst-29630	75	1	all	all	DET
ajst-29630	75	2	data	datum	NOUN
ajst-29630	75	3	are	be	AUX
ajst-29630	75	4	cleaned	clean	VERB
ajst-29630	75	5	and	and	CCONJ
ajst-29630	75	6	preprocessed	preprocesse	VERB
ajst-29630	75	7	to	to	PART
ajst-29630	75	8	remove	remove	VERB
ajst-29630	75	9	noise	noise	NOUN
ajst-29630	75	10	and	and	CCONJ
ajst-29630	75	11	outliers	outlier	NOUN
ajst-29630	75	12	to	to	PART
ajst-29630	75	13	ensure	ensure	VERB
ajst-29630	75	14	the	the	DET
ajst-29630	75	15	quality	quality	NOUN
ajst-29630	75	16	of	of	ADP
ajst-29630	75	17	the	the	DET
ajst-29630	75	18	input	input	NOUN
ajst-29630	75	19	model	model	NOUN
ajst-29630	75	20	.	.	PUNCT
ajst-29630	76	1	these	these	DET
ajst-29630	76	2	multidimensional	multidimensional	ADJ
ajst-29630	76	3	data	datum	NOUN
ajst-29630	76	4	provide	provide	VERB
ajst-29630	76	5	rich	rich	ADJ
ajst-29630	76	6	training	training	NOUN
ajst-29630	76	7	materials	material	NOUN
ajst-29630	76	8	for	for	ADP
ajst-29630	76	9	the	the	DET
ajst-29630	76	10	lstm	lstm	PROPN
ajst-29630	76	11	model	model	NOUN
ajst-29630	76	12	,	,	PUNCT
ajst-29630	76	13	enabling	enable	VERB
ajst-29630	76	14	the	the	DET
ajst-29630	76	15	model	model	NOUN
ajst-29630	76	16	to	to	PART
ajst-29630	76	17	make	make	VERB
ajst-29630	76	18	accurate	accurate	ADJ
ajst-29630	76	19	predictions	prediction	NOUN
ajst-29630	76	20	in	in	ADP
ajst-29630	76	21	complex	complex	ADJ
ajst-29630	76	22	actual	actual	ADJ
ajst-29630	76	23	situations	situation	NOUN
ajst-29630	76	24	.	.	PUNCT
ajst-29630	77	1	in	in	ADP
ajst-29630	77	2	order	order	NOUN
ajst-29630	77	3	to	to	PART
ajst-29630	77	4	accurately	accurately	ADV
ajst-29630	77	5	evaluate	evaluate	VERB
ajst-29630	77	6	the	the	DET
ajst-29630	77	7	accuracy	accuracy	NOUN
ajst-29630	77	8	of	of	ADP
ajst-29630	77	9	the	the	DET
ajst-29630	77	10	prediction	prediction	NOUN
ajst-29630	77	11	results	result	NOUN
ajst-29630	77	12	of	of	ADP
ajst-29630	77	13	the	the	DET
ajst-29630	77	14	model	model	NOUN
ajst-29630	77	15	used	use	VERB
ajst-29630	77	16	in	in	ADP
ajst-29630	77	17	this	this	DET
ajst-29630	77	18	paper	paper	NOUN
ajst-29630	77	19	,	,	PUNCT
ajst-29630	77	20	five	five	NUM
ajst-29630	77	21	error	error	NOUN
ajst-29630	77	22	evaluation	evaluation	NOUN
ajst-29630	77	23	indicators	indicator	NOUN
ajst-29630	77	24	,	,	PUNCT
ajst-29630	77	25	namely	namely	ADV
ajst-29630	77	26	mean	mean	VERB
ajst-29630	77	27	absolute	absolute	ADJ
ajst-29630	77	28	error	error	NOUN
ajst-29630	77	29	(	(	PUNCT
ajst-29630	77	30	mae	mae	PROPN
ajst-29630	77	31	)	)	PUNCT
ajst-29630	77	32	,	,	PUNCT
ajst-29630	77	33	mean	mean	VERB
ajst-29630	77	34	square	square	ADJ
ajst-29630	77	35	error	error	NOUN
ajst-29630	77	36	(	(	PUNCT
ajst-29630	77	37	mse	mse	NOUN
ajst-29630	77	38	)	)	PUNCT
ajst-29630	77	39	,	,	PUNCT
ajst-29630	77	40	root	root	NOUN
ajst-29630	77	41	mean	mean	VERB
ajst-29630	77	42	square	square	ADJ
ajst-29630	77	43	error	error	NOUN
ajst-29630	77	44	(	(	PUNCT
ajst-29630	77	45	rmse	rmse	NOUN
ajst-29630	77	46	)	)	PUNCT
ajst-29630	77	47	,	,	PUNCT
ajst-29630	77	48	mean	mean	VERB
ajst-29630	77	49	absolute	absolute	ADJ
ajst-29630	77	50	percentage	percentage	NOUN
ajst-29630	77	51	error	error	NOUN
ajst-29630	77	52	(	(	PUNCT
ajst-29630	77	53	mape	mape	NOUN
ajst-29630	77	54	)	)	PUNCT
ajst-29630	77	55	and	and	CCONJ
ajst-29630	77	56	determination	determination	NOUN
ajst-29630	77	57	coefficient	coefficient	NOUN
ajst-29630	77	58	(	(	PUNCT
ajst-29630	77	59	r2	r2	PROPN
ajst-29630	77	60	)	)	PUNCT
ajst-29630	77	61	,	,	PUNCT
ajst-29630	77	62	are	be	AUX
ajst-29630	77	63	used	use	VERB
ajst-29630	77	64	to	to	PART
ajst-29630	77	65	evaluate	evaluate	VERB
ajst-29630	77	66	the	the	DET
ajst-29630	77	67	model	model	NOUN
ajst-29630	77	68	.	.	PUNCT
ajst-29630	78	1	the	the	DET
ajst-29630	78	2	calculation	calculation	NOUN
ajst-29630	78	3	formulas	formula	NOUN
ajst-29630	78	4	of	of	ADP
ajst-29630	78	5	each	each	DET
ajst-29630	78	6	indicator	indicator	NOUN
ajst-29630	78	7	are	be	AUX
ajst-29630	78	8	as	as	SCONJ
ajst-29630	78	9	follows	follow	VERB
ajst-29630	78	10	:	:	PUNCT
ajst-29630	78	11			NOUN
ajst-29630	78	12			SYM
ajst-29630	78	13			NOUN
ajst-29630	78	14			NOUN
ajst-29630	78	15	2	2	NUM
ajst-29630	78	16	2	2	NUM
ajst-29630	78	17	1	1	NUM
ajst-29630	78	18	2	2	NUM
ajst-29630	78	19	1	1	NUM
ajst-29630	78	20	1	1	NUM
ajst-29630	78	21	1	1	NUM
ajst-29630	78	22	m	m	VERB
ajst-29630	78	23	i	i	INTJ
ajst-29630	78	24	i	i	PRON
ajst-29630	78	25	m	m	VERB
ajst-29630	79	1	i	i	INTJ
ajst-29630	79	2	i	i	VERB
ajst-29630	80	1	y	y	VERB
ajst-29630	80	2	y	y	NOUN
ajst-29630	80	3	r	r	NOUN
ajst-29630	80	4	y	y	PROPN
ajst-29630	81	1	y	y	PROPN
ajst-29630	81	2			PROPN
ajst-29630	81	3			PROPN
ajst-29630	81	4			PROPN
ajst-29630	81	5			PROPN
ajst-29630	81	6			PROPN
ajst-29630	81	7			PROPN
ajst-29630	81	8			X
ajst-29630	81	9			X
ajst-29630	81	10	ae	ae	PROPN
ajst-29630	81	11	1	1	NUM
ajst-29630	81	12	1	1	NUM
ajst-29630	81	13	m	m	VERB
ajst-29630	81	14	i	i	PRON
ajst-29630	81	15	i	i	PRON
ajst-29630	81	16	m	m	VERB
ajst-29630	81	17	y	y	VERB
ajst-29630	81	18	y	y	PROPN
ajst-29630	81	19	m	m	VERB
ajst-29630	81	20			NUM
ajst-29630	81	21			NUM
ajst-29630	82	1			PUNCT
ajst-29630	82	2			PROPN
ajst-29630	82	3	2	2	NOUN
ajst-29630	82	4	se	se	PROPN
ajst-29630	82	5	1	1	NUM
ajst-29630	82	6	1	1	NUM
ajst-29630	82	7	m	m	VERB
ajst-29630	82	8	i	i	PRON
ajst-29630	83	1	i	i	PRON
ajst-29630	83	2	m	m	VERB
ajst-29630	83	3	y	y	VERB
ajst-29630	83	4	y	y	PROPN
ajst-29630	83	5	m	m	VERB
ajst-29630	83	6			NUM
ajst-29630	83	7			NUM
ajst-29630	84	1			NOUN
ajst-29630	84	2	ape	ape	NOUN
ajst-29630	84	3	1	1	NUM
ajst-29630	84	4	1	1	NUM
ajst-29630	84	5	100	100	NUM
ajst-29630	84	6	%	%	NOUN
ajst-29630	84	7	m	m	VERB
ajst-29630	85	1	i	i	PRON
ajst-29630	85	2	i	i	PRON
ajst-29630	86	1	i	i	VERB
ajst-29630	86	2	y	y	VERB
ajst-29630	86	3	y	y	VERB
ajst-29630	86	4	m	m	VERB
ajst-29630	86	5	m	m	VERB
ajst-29630	86	6	y	y	NOUN
ajst-29630	86	7			NOUN
ajst-29630	86	8			PRON
ajst-29630	86	9			ADP
ajst-29630	86	10			PROPN
ajst-29630	87	1	2	2	NOUN
ajst-29630	87	2	mse	mse	PROPN
ajst-29630	87	3	1	1	NUM
ajst-29630	87	4	1	1	NUM
ajst-29630	87	5	m	m	VERB
ajst-29630	87	6	i	i	INTJ
ajst-29630	87	7	i	i	PRON
ajst-29630	87	8	r	r	VERB
ajst-29630	87	9	y	y	VERB
ajst-29630	87	10	y	y	PROPN
ajst-29630	87	11	m	m	VERB
ajst-29630	87	12			VERB
ajst-29630	87	13			PRON
ajst-29630	87	14			PROPN
ajst-29630	87	15	in	in	ADP
ajst-29630	87	16	the	the	DET
ajst-29630	87	17	formula	formula	NOUN
ajst-29630	87	18	,	,	PUNCT
ajst-29630	87	19	m	m	VERB
ajst-29630	87	20	is	be	AUX
ajst-29630	87	21	the	the	DET
ajst-29630	87	22	number	number	NOUN
ajst-29630	87	23	of	of	ADP
ajst-29630	87	24	test	test	NOUN
ajst-29630	87	25	set	set	VERB
ajst-29630	87	26	samples	sample	NOUN
ajst-29630	87	27	;	;	PUNCT
ajst-29630	87	28	y	y	PROPN
ajst-29630	87	29	is	be	AUX
ajst-29630	87	30	the	the	DET
ajst-29630	87	31	predicted	predict	VERB
ajst-29630	87	32	distance	distance	NOUN
ajst-29630	87	33	of	of	ADP
ajst-29630	87	34	the	the	DET
ajst-29630	87	35	test	test	NOUN
ajst-29630	87	36	set	set	NOUN
ajst-29630	87	37	.	.	PUNCT
ajst-29630	88	1	3	3	X
ajst-29630	88	2	.	.	NOUN
ajst-29630	88	3	results	result	VERB
ajst-29630	88	4	a	a	DET
ajst-29630	88	5	pre	pre	ADJ
ajst-29630	88	6	-	-	ADJ
ajst-29630	88	7	training	training	ADJ
ajst-29630	88	8	model	model	NOUN
ajst-29630	88	9	is	be	AUX
ajst-29630	88	10	built	build	VERB
ajst-29630	88	11	according	accord	VERB
ajst-29630	88	12	to	to	ADP
ajst-29630	88	13	the	the	DET
ajst-29630	88	14	abovementioned	abovementioned	ADJ
ajst-29630	88	15	pre	pre	VERB
ajst-29630	88	16	-	-	ADJ
ajst-29630	88	17	built	build	VERB
ajst-29630	88	18	lstm	lstm	ADJ
ajst-29630	88	19	neural	neural	ADJ
ajst-29630	88	20	network	network	NOUN
ajst-29630	88	21	structure	structure	NOUN
ajst-29630	88	22	,	,	PUNCT
ajst-29630	88	23	and	and	CCONJ
ajst-29630	88	24	the	the	DET
ajst-29630	88	25	selection	selection	NOUN
ajst-29630	88	26	range	range	NOUN
ajst-29630	88	27	of	of	ADP
ajst-29630	88	28	the	the	DET
ajst-29630	88	29	model	model	NOUN
ajst-29630	88	30	parameter	parameter	NOUN
ajst-29630	88	31	values	value	NOUN
ajst-29630	88	32	is	be	AUX
ajst-29630	88	33	determined	determine	VERB
ajst-29630	88	34	by	by	ADP
ajst-29630	88	35	the	the	DET
ajst-29630	88	36	results	result	NOUN
ajst-29630	88	37	of	of	ADP
ajst-29630	88	38	the	the	DET
ajst-29630	88	39	pre	pre	ADJ
ajst-29630	88	40	-	-	ADJ
ajst-29630	88	41	training	training	ADJ
ajst-29630	88	42	model	model	NOUN
ajst-29630	88	43	.	.	PUNCT
ajst-29630	89	1	the	the	DET
ajst-29630	89	2	evaluation	evaluation	NOUN
ajst-29630	89	3	index	index	NOUN
ajst-29630	89	4	values	value	NOUN
ajst-29630	89	5	of	of	ADP
ajst-29630	89	6	the	the	DET
ajst-29630	89	7	prediction	prediction	NOUN
ajst-29630	89	8	results	result	NOUN
ajst-29630	89	9	are	be	AUX
ajst-29630	89	10	shown	show	VERB
ajst-29630	89	11	in	in	ADP
ajst-29630	89	12	figure	figure	NOUN
ajst-29630	89	13	3	3	NUM
ajst-29630	89	14	.	.	PUNCT
ajst-29630	89	15	figure	figure	NOUN
ajst-29630	89	16	3	3	NUM
ajst-29630	89	17	.	.	PUNCT
ajst-29630	89	18	rmse	rmse	NOUN
ajst-29630	89	19	of	of	ADP
ajst-29630	89	20	the	the	DET
ajst-29630	89	21	prediction	prediction	NOUN
ajst-29630	89	22	results	result	NOUN
ajst-29630	89	23	judging	judge	VERB
ajst-29630	89	24	from	from	ADP
ajst-29630	89	25	the	the	DET
ajst-29630	89	26	model	model	NOUN
ajst-29630	89	27	evaluation	evaluation	NOUN
ajst-29630	89	28	results	result	NOUN
ajst-29630	89	29	,	,	PUNCT
ajst-29630	89	30	the	the	DET
ajst-29630	89	31	prediction	prediction	NOUN
ajst-29630	89	32	accuracy	accuracy	NOUN
ajst-29630	89	33	of	of	ADP
ajst-29630	89	34	the	the	DET
ajst-29630	89	35	model	model	NOUN
ajst-29630	89	36	for	for	ADP
ajst-29630	89	37	the	the	DET
ajst-29630	89	38	overall	overall	ADJ
ajst-29630	89	39	test	test	NOUN
ajst-29630	89	40	samples	sample	NOUN
ajst-29630	89	41	is	be	AUX
ajst-29630	89	42	in	in	ADP
ajst-29630	89	43	a	a	DET
ajst-29630	89	44	relatively	relatively	ADV
ajst-29630	89	45	high	high	ADJ
ajst-29630	89	46	range	range	NOUN
ajst-29630	89	47	.	.	PUNCT
ajst-29630	90	1	the	the	DET
ajst-29630	90	2	evaluation	evaluation	NOUN
ajst-29630	90	3	index	index	NOUN
ajst-29630	90	4	results	result	VERB
ajst-29630	90	5	r2	r2	PROPN
ajst-29630	90	6	and	and	CCONJ
ajst-29630	90	7	scc	scc	NOUN
ajst-29630	90	8	of	of	ADP
ajst-29630	90	9	most	most	ADJ
ajst-29630	90	10	test	test	NOUN
ajst-29630	90	11	samples	sample	NOUN
ajst-29630	90	12	are	be	AUX
ajst-29630	90	13	above	above	ADP
ajst-29630	90	14	0.8	0.8	NUM
ajst-29630	90	15	,	,	PUNCT
ajst-29630	90	16	and	and	CCONJ
ajst-29630	90	17	r	r	NOUN
ajst-29630	90	18	is	be	AUX
ajst-29630	90	19	above	above	ADP
ajst-29630	90	20	0.9	0.9	NUM
ajst-29630	90	21	,	,	PUNCT
ajst-29630	90	22	results	result	NOUN
ajst-29630	90	23	are	be	AUX
ajst-29630	90	24	shown	show	VERB
ajst-29630	90	25	in	in	ADP
ajst-29630	90	26	figure	figure	NOUN
ajst-29630	90	27	4	4	NUM
ajst-29630	90	28	.	.	PUNCT
ajst-29630	91	1	only	only	ADV
ajst-29630	91	2	the	the	DET
ajst-29630	91	3	sample	sample	NOUN
ajst-29630	91	4	data	datum	NOUN
ajst-29630	91	5	of	of	ADP
ajst-29630	91	6	some	some	DET
ajst-29630	91	7	days	day	NOUN
ajst-29630	91	8	have	have	VERB
ajst-29630	91	9	poor	poor	ADJ
ajst-29630	91	10	results	result	NOUN
ajst-29630	91	11	.	.	PUNCT
ajst-29630	92	1	this	this	PRON
ajst-29630	92	2	shows	show	VERB
ajst-29630	92	3	that	that	SCONJ
ajst-29630	92	4	the	the	DET
ajst-29630	92	5	training	training	NOUN
ajst-29630	92	6	set	set	NOUN
ajst-29630	92	7	and	and	CCONJ
ajst-29630	92	8	test	test	NOUN
ajst-29630	92	9	set	set	VERB
ajst-29630	92	10	are	be	AUX
ajst-29630	92	11	constructed	construct	VERB
ajst-29630	92	12	between	between	ADP
ajst-29630	92	13	strongly	strongly	ADV
ajst-29630	92	14	correlated	correlate	VERB
ajst-29630	92	15	samples	sample	NOUN
ajst-29630	92	16	for	for	ADP
ajst-29630	92	17	mutual	mutual	ADJ
ajst-29630	92	18	verification	verification	NOUN
ajst-29630	92	19	,	,	PUNCT
ajst-29630	92	20	which	which	PRON
ajst-29630	92	21	can	can	AUX
ajst-29630	92	22	ensure	ensure	VERB
ajst-29630	92	23	the	the	DET
ajst-29630	92	24	prediction	prediction	NOUN
ajst-29630	92	25	accuracy	accuracy	NOUN
ajst-29630	92	26	of	of	ADP
ajst-29630	92	27	most	most	ADJ
ajst-29630	92	28	test	test	NOUN
ajst-29630	92	29	samples	sample	NOUN
ajst-29630	92	30	.	.	PUNCT
ajst-29630	93	1	337	337	NUM
ajst-29630	93	2	figure	figure	NOUN
ajst-29630	93	3	4	4	NUM
ajst-29630	93	4	.	.	PUNCT
ajst-29630	94	1	r	r	NOUN
ajst-29630	94	2	of	of	ADP
ajst-29630	94	3	the	the	DET
ajst-29630	94	4	prediction	prediction	NOUN
ajst-29630	94	5	results	result	NOUN
ajst-29630	94	6	table	table	NOUN
ajst-29630	94	7	1	1	NUM
ajst-29630	94	8	compares	compare	VERB
ajst-29630	94	9	the	the	DET
ajst-29630	94	10	evaluation	evaluation	NOUN
ajst-29630	94	11	indicators	indicator	NOUN
ajst-29630	94	12	of	of	ADP
ajst-29630	94	13	several	several	ADJ
ajst-29630	94	14	machine	machine	NOUN
ajst-29630	94	15	learning	learn	VERB
ajst-29630	94	16	algorithms	algorithm	NOUN
ajst-29630	94	17	for	for	ADP
ajst-29630	94	18	the	the	DET
ajst-29630	94	19	model	model	NOUN
ajst-29630	94	20	.	.	PUNCT
ajst-29630	95	1	among	among	ADP
ajst-29630	95	2	the	the	DET
ajst-29630	95	3	above	above	ADJ
ajst-29630	95	4	error	error	NOUN
ajst-29630	95	5	indicators	indicator	NOUN
ajst-29630	95	6	,	,	PUNCT
ajst-29630	95	7	the	the	DET
ajst-29630	95	8	lstm	lstm	NOUN
ajst-29630	95	9	model	model	NOUN
ajst-29630	95	10	reduces	reduce	VERB
ajst-29630	95	11	the	the	DET
ajst-29630	95	12	error	error	NOUN
ajst-29630	95	13	repetition	repetition	NOUN
ajst-29630	95	14	the	the	DET
ajst-29630	95	15	most	most	ADV
ajst-29630	95	16	.	.	PUNCT
ajst-29630	96	1	the	the	DET
ajst-29630	96	2	r	r	NOUN
ajst-29630	96	3	values	value	NOUN
ajst-29630	96	4	of	of	ADP
ajst-29630	96	5	the	the	DET
ajst-29630	96	6	other	other	ADJ
ajst-29630	96	7	three	three	NUM
ajst-29630	96	8	models	model	NOUN
ajst-29630	96	9	are	be	AUX
ajst-29630	96	10	significantly	significantly	ADV
ajst-29630	96	11	smaller	small	ADJ
ajst-29630	96	12	than	than	ADP
ajst-29630	96	13	the	the	DET
ajst-29630	96	14	lstm	lstm	PROPN
ajst-29630	96	15	model	model	NOUN
ajst-29630	96	16	.	.	PUNCT
ajst-29630	97	1	the	the	DET
ajst-29630	97	2	determination	determination	NOUN
ajst-29630	97	3	coefficient	coefficient	NOUN
ajst-29630	97	4	of	of	ADP
ajst-29630	97	5	lstm	lstm	NOUN
ajst-29630	97	6	is	be	AUX
ajst-29630	97	7	the	the	DET
ajst-29630	97	8	largest	large	ADJ
ajst-29630	97	9	and	and	CCONJ
ajst-29630	97	10	closest	close	ADJ
ajst-29630	97	11	to	to	ADP
ajst-29630	97	12	1	1	NUM
ajst-29630	97	13	.	.	PUNCT
ajst-29630	97	14	from	from	ADP
ajst-29630	97	15	the	the	DET
ajst-29630	97	16	above	above	ADJ
ajst-29630	97	17	data	datum	NOUN
ajst-29630	97	18	,	,	PUNCT
ajst-29630	97	19	it	it	PRON
ajst-29630	97	20	can	can	AUX
ajst-29630	97	21	be	be	AUX
ajst-29630	97	22	concluded	conclude	VERB
ajst-29630	97	23	that	that	SCONJ
ajst-29630	97	24	the	the	DET
ajst-29630	97	25	lstm	lstm	PROPN
ajst-29630	97	26	error	error	NOUN
ajst-29630	97	27	index	index	NOUN
ajst-29630	97	28	is	be	AUX
ajst-29630	97	29	significantly	significantly	ADV
ajst-29630	97	30	better	well	ADJ
ajst-29630	97	31	than	than	ADP
ajst-29630	97	32	the	the	DET
ajst-29630	97	33	other	other	ADJ
ajst-29630	97	34	three	three	NUM
ajst-29630	97	35	models	model	NOUN
ajst-29630	97	36	,	,	PUNCT
ajst-29630	97	37	indicating	indicate	VERB
ajst-29630	97	38	that	that	SCONJ
ajst-29630	97	39	the	the	DET
ajst-29630	97	40	lstm	lstm	PROPN
ajst-29630	97	41	model	model	NOUN
ajst-29630	97	42	proposed	propose	VERB
ajst-29630	97	43	in	in	ADP
ajst-29630	97	44	this	this	DET
ajst-29630	97	45	paper	paper	NOUN
ajst-29630	97	46	has	have	VERB
ajst-29630	97	47	the	the	DET
ajst-29630	97	48	highest	high	ADJ
ajst-29630	97	49	prediction	prediction	NOUN
ajst-29630	97	50	accuracy	accuracy	NOUN
ajst-29630	97	51	for	for	ADP
ajst-29630	97	52	the	the	DET
ajst-29630	97	53	liquid	liquid	ADJ
ajst-29630	97	54	transportation	transportation	NOUN
ajst-29630	97	55	distance	distance	NOUN
ajst-29630	97	56	of	of	ADP
ajst-29630	97	57	lng	lng	PROPN
ajst-29630	97	58	long	long	ADJ
ajst-29630	97	59	-	-	PUNCT
ajst-29630	97	60	distance	distance	NOUN
ajst-29630	97	61	pipelines	pipeline	NOUN
ajst-29630	97	62	and	and	CCONJ
ajst-29630	97	63	has	have	VERB
ajst-29630	97	64	the	the	DET
ajst-29630	97	65	most	most	ADV
ajst-29630	97	66	obvious	obvious	ADJ
ajst-29630	97	67	advantages	advantage	NOUN
ajst-29630	97	68	.	.	PUNCT
ajst-29630	98	1	table	table	NOUN
ajst-29630	98	2	1	1	NUM
ajst-29630	98	3	.	.	PUNCT
ajst-29630	98	4	comparison	comparison	NOUN
ajst-29630	98	5	of	of	ADP
ajst-29630	98	6	evaluation	evaluation	NOUN
ajst-29630	98	7	indexes	index	NOUN
ajst-29630	98	8	for	for	ADP
ajst-29630	98	9	four	four	NUM
ajst-29630	98	10	models	model	NOUN
ajst-29630	98	11	modal	modal	ADJ
ajst-29630	98	12	rmse	rmse	PROPN
ajst-29630	98	13	mae	mae	PROPN
ajst-29630	98	14	mse	mse	PROPN
ajst-29630	98	15	mape	mape	PROPN
ajst-29630	98	16	r	r	NOUN
ajst-29630	98	17	svm	svm	PROPN
ajst-29630	98	18	0.41	0.41	NUM
ajst-29630	98	19	2.0123	2.0123	NUM
ajst-29630	98	20	5.2133	5.2133	NUM
ajst-29630	98	21	24.5234	24.5234	NUM
ajst-29630	98	22	0.876	0.876	NUM
ajst-29630	98	23	bp	bp	NOUN
ajst-29630	98	24	0.33	0.33	NUM
ajst-29630	98	25	0.3214	0.3214	NUM
ajst-29630	98	26	0.8874	0.8874	NUM
ajst-29630	98	27	12.3782	12.3782	NUM
ajst-29630	98	28	0.915	0.915	NUM
ajst-29630	98	29	rbf	rbf	PROPN
ajst-29630	98	30	0.12	0.12	NUM
ajst-29630	98	31	0.8793	0.8793	NUM
ajst-29630	98	32	0.4586	0.4586	NUM
ajst-29630	98	33	14.3213	14.3213	NUM
ajst-29630	98	34	0.923	0.923	NUM
ajst-29630	98	35	lstm	lstm	NOUN
ajst-29630	98	36	0.05	0.05	NUM
ajst-29630	98	37	0.2213	0.2213	NUM
ajst-29630	98	38	0.1323	0.1323	NUM
ajst-29630	98	39	6.2317	6.2317	NUM
ajst-29630	98	40	0.969	0.969	NUM
ajst-29630	98	41	after	after	ADP
ajst-29630	98	42	obtaining	obtain	VERB
ajst-29630	98	43	the	the	DET
ajst-29630	98	44	lstm	lstm	PROPN
ajst-29630	98	45	prediction	prediction	NOUN
ajst-29630	98	46	model	model	NOUN
ajst-29630	98	47	,	,	PUNCT
ajst-29630	98	48	the	the	DET
ajst-29630	98	49	model	model	NOUN
ajst-29630	98	50	is	be	AUX
ajst-29630	98	51	used	use	VERB
ajst-29630	98	52	to	to	PART
ajst-29630	98	53	predict	predict	VERB
ajst-29630	98	54	new	new	ADJ
ajst-29630	98	55	data	datum	NOUN
ajst-29630	98	56	and	and	CCONJ
ajst-29630	98	57	to	to	PART
ajst-29630	98	58	construct	construct	VERB
ajst-29630	98	59	the	the	DET
ajst-29630	98	60	relationship	relationship	NOUN
ajst-29630	98	61	between	between	ADP
ajst-29630	98	62	different	different	ADJ
ajst-29630	98	63	variables	variable	NOUN
ajst-29630	98	64	and	and	CCONJ
ajst-29630	98	65	the	the	DET
ajst-29630	98	66	lng	lng	NOUN
ajst-29630	98	67	liquid	liquid	ADJ
ajst-29630	98	68	transportation	transportation	NOUN
ajst-29630	98	69	distance	distance	NOUN
ajst-29630	98	70	.	.	PUNCT
ajst-29630	99	1	under	under	ADP
ajst-29630	99	2	the	the	DET
ajst-29630	99	3	same	same	ADJ
ajst-29630	99	4	other	other	ADJ
ajst-29630	99	5	conditions	condition	NOUN
ajst-29630	99	6	,	,	PUNCT
ajst-29630	99	7	the	the	DET
ajst-29630	99	8	maximum	maximum	ADJ
ajst-29630	99	9	liquid	liquid	ADJ
ajst-29630	99	10	transportation	transportation	NOUN
ajst-29630	99	11	distance	distance	NOUN
ajst-29630	99	12	under	under	ADP
ajst-29630	99	13	different	different	ADJ
ajst-29630	99	14	inlet	inlet	NOUN
ajst-29630	99	15	pressures	pressure	NOUN
ajst-29630	99	16	was	be	AUX
ajst-29630	99	17	calculated	calculate	VERB
ajst-29630	99	18	for	for	ADP
ajst-29630	99	19	lng	lng	PROPN
ajst-29630	99	20	pipeline	pipeline	PROPN
ajst-29630	99	21	transportation	transportation	NOUN
ajst-29630	99	22	,	,	PUNCT
ajst-29630	99	23	and	and	CCONJ
ajst-29630	99	24	the	the	DET
ajst-29630	99	25	results	result	NOUN
ajst-29630	99	26	are	be	AUX
ajst-29630	99	27	shown	show	VERB
ajst-29630	99	28	in	in	ADP
ajst-29630	99	29	figure	figure	NOUN
ajst-29630	99	30	5	5	NUM
ajst-29630	99	31	.	.	PUNCT
ajst-29630	99	32	when	when	SCONJ
ajst-29630	99	33	the	the	DET
ajst-29630	99	34	inlet	inlet	ADJ
ajst-29630	99	35	pressure	pressure	NOUN
ajst-29630	99	36	changes	change	NOUN
ajst-29630	99	37	from	from	ADP
ajst-29630	99	38	1mpa	1mpa	NUM
ajst-29630	99	39	to	to	ADP
ajst-29630	99	40	2mpa	2mpa	PROPN
ajst-29630	99	41	,	,	PUNCT
ajst-29630	99	42	the	the	DET
ajst-29630	99	43	maximum	maximum	ADJ
ajst-29630	99	44	liquid	liquid	ADJ
ajst-29630	99	45	transportation	transportation	NOUN
ajst-29630	99	46	distance	distance	NOUN
ajst-29630	99	47	increases	increase	VERB
ajst-29630	99	48	linearly	linearly	ADV
ajst-29630	99	49	with	with	ADP
ajst-29630	99	50	the	the	DET
ajst-29630	99	51	change	change	NOUN
ajst-29630	99	52	of	of	ADP
ajst-29630	99	53	inlet	inlet	ADJ
ajst-29630	99	54	pressure	pressure	NOUN
ajst-29630	99	55	.	.	PUNCT
ajst-29630	100	1	the	the	PRON
ajst-29630	100	2	greater	great	ADJ
ajst-29630	100	3	the	the	DET
ajst-29630	100	4	inlet	inlet	NOUN
ajst-29630	100	5	pressure	pressure	NOUN
ajst-29630	100	6	,	,	PUNCT
ajst-29630	100	7	the	the	PRON
ajst-29630	100	8	longer	long	ADJ
ajst-29630	100	9	the	the	DET
ajst-29630	100	10	transportation	transportation	NOUN
ajst-29630	100	11	distance	distance	NOUN
ajst-29630	100	12	.	.	PUNCT
ajst-29630	101	1	this	this	PRON
ajst-29630	101	2	is	be	AUX
ajst-29630	101	3	because	because	SCONJ
ajst-29630	101	4	the	the	PRON
ajst-29630	101	5	greater	great	ADJ
ajst-29630	101	6	the	the	DET
ajst-29630	101	7	inlet	inlet	NOUN
ajst-29630	101	8	pressure	pressure	NOUN
ajst-29630	101	9	,	,	PUNCT
ajst-29630	101	10	the	the	PRON
ajst-29630	101	11	higher	high	ADJ
ajst-29630	101	12	the	the	DET
ajst-29630	101	13	subcooling	subcooling	NOUN
ajst-29630	101	14	degree	degree	NOUN
ajst-29630	101	15	of	of	ADP
ajst-29630	101	16	the	the	DET
ajst-29630	101	17	inlet	inlet	NOUN
ajst-29630	101	18	state	state	NOUN
ajst-29630	101	19	,	,	PUNCT
ajst-29630	101	20	which	which	PRON
ajst-29630	101	21	makes	make	VERB
ajst-29630	101	22	the	the	DET
ajst-29630	101	23	transportation	transportation	NOUN
ajst-29630	101	24	distance	distance	NOUN
ajst-29630	101	25	longer	long	ADV
ajst-29630	101	26	.	.	PUNCT
ajst-29630	102	1	figure	figure	VERB
ajst-29630	102	2	5	5	NUM
ajst-29630	102	3	.	.	PUNCT
ajst-29630	103	1	the	the	DET
ajst-29630	103	2	longest	long	ADJ
ajst-29630	103	3	distance	distance	NOUN
ajst-29630	103	4	changes	change	NOUN
ajst-29630	103	5	with	with	ADP
ajst-29630	103	6	inlet	inlet	ADJ
ajst-29630	103	7	pressure	pressure	NOUN
ajst-29630	103	8	as	as	SCONJ
ajst-29630	103	9	can	can	AUX
ajst-29630	103	10	be	be	AUX
ajst-29630	103	11	seen	see	VERB
ajst-29630	103	12	from	from	ADP
ajst-29630	103	13	figure	figure	NOUN
ajst-29630	103	14	6	6	NUM
ajst-29630	103	15	,	,	PUNCT
ajst-29630	103	16	when	when	SCONJ
ajst-29630	103	17	the	the	DET
ajst-29630	103	18	heat	heat	NOUN
ajst-29630	103	19	flux	flux	NOUN
ajst-29630	103	20	increases	increase	NOUN
ajst-29630	103	21	,	,	PUNCT
ajst-29630	103	22	the	the	DET
ajst-29630	103	23	amount	amount	NOUN
ajst-29630	103	24	of	of	ADP
ajst-29630	103	25	heat	heat	NOUN
ajst-29630	103	26	transferred	transfer	VERB
ajst-29630	103	27	to	to	ADP
ajst-29630	103	28	the	the	DET
ajst-29630	103	29	low	low	ADJ
ajst-29630	103	30	-	-	PUNCT
ajst-29630	103	31	temperature	temperature	NOUN
ajst-29630	103	32	working	working	NOUN
ajst-29630	103	33	fluid	fluid	NOUN
ajst-29630	103	34	per	per	ADP
ajst-29630	103	35	unit	unit	NOUN
ajst-29630	103	36	time	time	NOUN
ajst-29630	103	37	increases	increase	NOUN
ajst-29630	103	38	,	,	PUNCT
ajst-29630	103	39	accelerating	accelerate	VERB
ajst-29630	103	40	the	the	DET
ajst-29630	103	41	liquid	liquid	ADJ
ajst-29630	103	42	phase	phase	NOUN
ajst-29630	103	43	temperature	temperature	NOUN
ajst-29630	103	44	to	to	PART
ajst-29630	103	45	approach	approach	VERB
ajst-29630	103	46	the	the	DET
ajst-29630	103	47	saturation	saturation	NOUN
ajst-29630	103	48	temperature	temperature	NOUN
ajst-29630	103	49	,	,	PUNCT
ajst-29630	103	50	causing	cause	VERB
ajst-29630	103	51	the	the	DET
ajst-29630	103	52	working	work	VERB
ajst-29630	103	53	fluid	fluid	NOUN
ajst-29630	103	54	to	to	PART
ajst-29630	103	55	undergo	undergo	VERB
ajst-29630	103	56	a	a	DET
ajst-29630	103	57	phase	phase	NOUN
ajst-29630	103	58	change	change	NOUN
ajst-29630	103	59	to	to	PART
ajst-29630	103	60	form	form	VERB
ajst-29630	103	61	a	a	DET
ajst-29630	103	62	gas	gas	NOUN
ajst-29630	103	63	-	-	PUNCT
ajst-29630	103	64	liquid	liquid	ADJ
ajst-29630	103	65	two	two	NUM
ajst-29630	103	66	-	-	PUNCT
ajst-29630	103	67	phase	phase	NOUN
ajst-29630	103	68	flow	flow	NOUN
ajst-29630	103	69	.	.	PUNCT
ajst-29630	104	1	the	the	DET
ajst-29630	104	2	heat	heat	NOUN
ajst-29630	104	3	exchange	exchange	NOUN
ajst-29630	104	4	between	between	ADP
ajst-29630	104	5	the	the	DET
ajst-29630	104	6	pipeline	pipeline	NOUN
ajst-29630	104	7	and	and	CCONJ
ajst-29630	104	8	the	the	DET
ajst-29630	104	9	environment	environment	NOUN
ajst-29630	104	10	causes	cause	VERB
ajst-29630	104	11	the	the	DET
ajst-29630	104	12	working	work	VERB
ajst-29630	104	13	fluid	fluid	NOUN
ajst-29630	104	14	to	to	PART
ajst-29630	104	15	absorb	absorb	VERB
ajst-29630	104	16	heat	heat	NOUN
ajst-29630	104	17	and	and	CCONJ
ajst-29630	104	18	rise	rise	VERB
ajst-29630	104	19	in	in	ADP
ajst-29630	104	20	temperature	temperature	NOUN
ajst-29630	104	21	,	,	PUNCT
ajst-29630	104	22	and	and	CCONJ
ajst-29630	104	23	its	its	PRON
ajst-29630	104	24	temperature	temperature	NOUN
ajst-29630	104	25	rise	rise	NOUN
ajst-29630	104	26	rate	rate	NOUN
ajst-29630	104	27	is	be	AUX
ajst-29630	104	28	positively	positively	ADV
ajst-29630	104	29	correlated	correlate	VERB
ajst-29630	104	30	with	with	ADP
ajst-29630	104	31	the	the	DET
ajst-29630	104	32	heat	heat	NOUN
ajst-29630	104	33	flux	flux	NOUN
ajst-29630	104	34	.	.	PUNCT
ajst-29630	105	1	338	338	NUM
ajst-29630	105	2	figure	figure	NOUN
ajst-29630	105	3	6	6	NUM
ajst-29630	105	4	.	.	PUNCT
ajst-29630	106	1	the	the	DET
ajst-29630	106	2	longest	long	ADJ
ajst-29630	106	3	distance	distance	NOUN
ajst-29630	106	4	changes	change	NOUN
ajst-29630	106	5	with	with	ADP
ajst-29630	106	6	heat	heat	NOUN
ajst-29630	106	7	flux	flux	NOUN
ajst-29630	106	8	as	as	SCONJ
ajst-29630	106	9	shown	show	VERB
ajst-29630	106	10	in	in	ADP
ajst-29630	106	11	figure	figure	NOUN
ajst-29630	106	12	7	7	NUM
ajst-29630	106	13	,	,	PUNCT
ajst-29630	106	14	the	the	DET
ajst-29630	106	15	increase	increase	NOUN
ajst-29630	106	16	in	in	ADP
ajst-29630	106	17	the	the	DET
ajst-29630	106	18	inner	inner	ADJ
ajst-29630	106	19	diameter	diameter	NOUN
ajst-29630	106	20	of	of	ADP
ajst-29630	106	21	the	the	DET
ajst-29630	106	22	lng	lng	PROPN
ajst-29630	106	23	long	long	ADJ
ajst-29630	106	24	-	-	PUNCT
ajst-29630	106	25	distance	distance	NOUN
ajst-29630	106	26	pipeline	pipeline	NOUN
ajst-29630	106	27	significantly	significantly	ADV
ajst-29630	106	28	affects	affect	VERB
ajst-29630	106	29	the	the	DET
ajst-29630	106	30	flow	flow	NOUN
ajst-29630	106	31	and	and	CCONJ
ajst-29630	106	32	heat	heat	NOUN
ajst-29630	106	33	transfer	transfer	NOUN
ajst-29630	106	34	characteristics	characteristic	NOUN
ajst-29630	106	35	of	of	ADP
ajst-29630	106	36	the	the	DET
ajst-29630	106	37	cryogenic	cryogenic	ADJ
ajst-29630	106	38	medium	medium	NOUN
ajst-29630	106	39	.	.	PUNCT
ajst-29630	107	1	the	the	DET
ajst-29630	107	2	maximum	maximum	ADJ
ajst-29630	107	3	liquid	liquid	ADJ
ajst-29630	107	4	transportation	transportation	NOUN
ajst-29630	107	5	distance	distance	NOUN
ajst-29630	107	6	of	of	ADP
ajst-29630	107	7	lng	lng	PROPN
ajst-29630	107	8	pipeline	pipeline	PROPN
ajst-29630	107	9	transportation	transportation	NOUN
ajst-29630	107	10	tends	tend	VERB
ajst-29630	107	11	to	to	PART
ajst-29630	107	12	increase	increase	VERB
ajst-29630	107	13	significantly	significantly	ADV
ajst-29630	107	14	with	with	ADP
ajst-29630	107	15	the	the	DET
ajst-29630	107	16	increase	increase	NOUN
ajst-29630	107	17	of	of	ADP
ajst-29630	107	18	the	the	DET
ajst-29630	107	19	pipe	pipe	NOUN
ajst-29630	107	20	diameter	diameter	NOUN
ajst-29630	107	21	.	.	PUNCT
ajst-29630	108	1	when	when	SCONJ
ajst-29630	108	2	the	the	DET
ajst-29630	108	3	pipe	pipe	NOUN
ajst-29630	108	4	diameter	diameter	NOUN
ajst-29630	108	5	is	be	AUX
ajst-29630	108	6	small	small	ADJ
ajst-29630	108	7	,	,	PUNCT
ajst-29630	108	8	the	the	DET
ajst-29630	108	9	transportation	transportation	NOUN
ajst-29630	108	10	distance	distance	NOUN
ajst-29630	108	11	is	be	AUX
ajst-29630	108	12	short	short	ADJ
ajst-29630	108	13	.	.	PUNCT
ajst-29630	109	1	the	the	PRON
ajst-29630	109	2	greater	great	ADJ
ajst-29630	109	3	the	the	DET
ajst-29630	109	4	inlet	inlet	NOUN
ajst-29630	109	5	pressure	pressure	NOUN
ajst-29630	109	6	,	,	PUNCT
ajst-29630	109	7	the	the	PRON
ajst-29630	109	8	greater	great	ADJ
ajst-29630	109	9	the	the	DET
ajst-29630	109	10	influence	influence	NOUN
ajst-29630	109	11	of	of	ADP
ajst-29630	109	12	the	the	DET
ajst-29630	109	13	pipe	pipe	NOUN
ajst-29630	109	14	diameter	diameter	NOUN
ajst-29630	109	15	on	on	ADP
ajst-29630	109	16	the	the	DET
ajst-29630	109	17	maximum	maximum	ADJ
ajst-29630	109	18	liquid	liquid	ADJ
ajst-29630	109	19	transportation	transportation	NOUN
ajst-29630	109	20	distance	distance	NOUN
ajst-29630	109	21	.	.	PUNCT
ajst-29630	110	1	the	the	DET
ajst-29630	110	2	trend	trend	NOUN
ajst-29630	110	3	of	of	ADP
ajst-29630	110	4	increasing	increase	VERB
ajst-29630	110	5	the	the	DET
ajst-29630	110	6	transportation	transportation	NOUN
ajst-29630	110	7	distance	distance	NOUN
ajst-29630	110	8	with	with	ADP
ajst-29630	110	9	the	the	DET
ajst-29630	110	10	increase	increase	NOUN
ajst-29630	110	11	of	of	ADP
ajst-29630	110	12	the	the	DET
ajst-29630	110	13	pipe	pipe	NOUN
ajst-29630	110	14	diameter	diameter	NOUN
ajst-29630	110	15	is	be	AUX
ajst-29630	110	16	more	more	ADV
ajst-29630	110	17	obvious	obvious	ADJ
ajst-29630	110	18	.	.	PUNCT
ajst-29630	111	1	figure	figure	NOUN
ajst-29630	111	2	7	7	NUM
ajst-29630	111	3	.	.	PUNCT
ajst-29630	112	1	the	the	DET
ajst-29630	112	2	longest	long	ADJ
ajst-29630	112	3	distance	distance	NOUN
ajst-29630	112	4	changes	change	NOUN
ajst-29630	112	5	with	with	ADP
ajst-29630	112	6	pipe	pipe	NOUN
ajst-29630	112	7	inner	inner	ADJ
ajst-29630	112	8	diameter	diameter	NOUN
ajst-29630	112	9	4	4	NUM
ajst-29630	112	10	.	.	PUNCT
ajst-29630	112	11	conclusion	conclusion	NOUN
ajst-29630	112	12	in	in	ADP
ajst-29630	112	13	this	this	DET
ajst-29630	112	14	study	study	NOUN
ajst-29630	112	15	,	,	PUNCT
ajst-29630	112	16	we	we	PRON
ajst-29630	112	17	explored	explore	VERB
ajst-29630	112	18	the	the	DET
ajst-29630	112	19	application	application	NOUN
ajst-29630	112	20	of	of	ADP
ajst-29630	112	21	lstm	lstm	NOUN
ajst-29630	112	22	(	(	PUNCT
ajst-29630	112	23	long	long	ADJ
ajst-29630	112	24	short	short	ADJ
ajst-29630	112	25	-	-	PUNCT
ajst-29630	112	26	term	term	NOUN
ajst-29630	112	27	memory	memory	NOUN
ajst-29630	112	28	)	)	PUNCT
ajst-29630	112	29	algorithm	algorithm	NOUN
ajst-29630	112	30	to	to	PART
ajst-29630	112	31	predict	predict	VERB
ajst-29630	112	32	the	the	DET
ajst-29630	112	33	liquid	liquid	ADJ
ajst-29630	112	34	transportation	transportation	NOUN
ajst-29630	112	35	distance	distance	NOUN
ajst-29630	112	36	of	of	ADP
ajst-29630	112	37	lng	lng	PROPN
ajst-29630	112	38	long	long	ADJ
ajst-29630	112	39	-	-	PUNCT
ajst-29630	112	40	distance	distance	NOUN
ajst-29630	112	41	pipelines	pipeline	NOUN
ajst-29630	112	42	.	.	PUNCT
ajst-29630	113	1	as	as	ADP
ajst-29630	113	2	a	a	DET
ajst-29630	113	3	deep	deep	ADJ
ajst-29630	113	4	learning	learning	NOUN
ajst-29630	113	5	algorithm	algorithm	NOUN
ajst-29630	113	6	,	,	PUNCT
ajst-29630	113	7	lstm	lstm	NOUN
ajst-29630	113	8	can	can	AUX
ajst-29630	113	9	effectively	effectively	ADV
ajst-29630	113	10	process	process	VERB
ajst-29630	113	11	time	time	NOUN
ajst-29630	113	12	series	series	PROPN
ajst-29630	113	13	data	data	PROPN
ajst-29630	113	14	,	,	PUNCT
ajst-29630	113	15	especially	especially	ADV
ajst-29630	113	16	in	in	ADP
ajst-29630	113	17	scenarios	scenario	NOUN
ajst-29630	113	18	with	with	ADP
ajst-29630	113	19	complex	complex	ADJ
ajst-29630	113	20	nonlinear	nonlinear	ADJ
ajst-29630	113	21	relationships	relationship	NOUN
ajst-29630	113	22	and	and	CCONJ
ajst-29630	113	23	long	long	ADJ
ajst-29630	113	24	-	-	PUNCT
ajst-29630	113	25	term	term	NOUN
ajst-29630	113	26	dependencies	dependency	NOUN
ajst-29630	113	27	,	,	PUNCT
ajst-29630	113	28	showing	show	VERB
ajst-29630	113	29	superior	superior	ADJ
ajst-29630	113	30	prediction	prediction	NOUN
ajst-29630	113	31	performance	performance	NOUN
ajst-29630	113	32	.	.	PUNCT
ajst-29630	114	1	compared	compare	VERB
ajst-29630	114	2	with	with	ADP
ajst-29630	114	3	traditional	traditional	ADJ
ajst-29630	114	4	prediction	prediction	NOUN
ajst-29630	114	5	methods	method	NOUN
ajst-29630	114	6	,	,	PUNCT
ajst-29630	114	7	lstm	lstm	NOUN
ajst-29630	114	8	can	can	AUX
ajst-29630	114	9	adaptively	adaptively	ADV
ajst-29630	114	10	learn	learn	VERB
ajst-29630	114	11	and	and	CCONJ
ajst-29630	114	12	capture	capture	VERB
ajst-29630	114	13	the	the	DET
ajst-29630	114	14	rules	rule	NOUN
ajst-29630	114	15	in	in	ADP
ajst-29630	114	16	historical	historical	ADJ
ajst-29630	114	17	data	datum	NOUN
ajst-29630	114	18	without	without	ADP
ajst-29630	114	19	manual	manual	ADJ
ajst-29630	114	20	feature	feature	NOUN
ajst-29630	114	21	extraction	extraction	NOUN
ajst-29630	114	22	,	,	PUNCT
ajst-29630	114	23	and	and	CCONJ
ajst-29630	114	24	has	have	VERB
ajst-29630	114	25	strong	strong	ADJ
ajst-29630	114	26	robustness	robustness	NOUN
ajst-29630	114	27	to	to	ADP
ajst-29630	114	28	noise	noise	NOUN
ajst-29630	114	29	and	and	CCONJ
ajst-29630	114	30	fluctuations	fluctuation	NOUN
ajst-29630	114	31	in	in	ADP
ajst-29630	114	32	input	input	NOUN
ajst-29630	114	33	data	datum	NOUN
ajst-29630	114	34	.	.	PUNCT
ajst-29630	115	1	therefore	therefore	ADV
ajst-29630	115	2	,	,	PUNCT
ajst-29630	115	3	the	the	DET
ajst-29630	115	4	lstm	lstm	ADJ
ajst-29630	115	5	algorithm	algorithm	NOUN
ajst-29630	115	6	not	not	PART
ajst-29630	115	7	only	only	ADV
ajst-29630	115	8	improves	improve	VERB
ajst-29630	115	9	the	the	DET
ajst-29630	115	10	accuracy	accuracy	NOUN
ajst-29630	115	11	of	of	ADP
ajst-29630	115	12	liquid	liquid	ADJ
ajst-29630	115	13	transportation	transportation	NOUN
ajst-29630	115	14	distance	distance	NOUN
ajst-29630	115	15	prediction	prediction	NOUN
ajst-29630	115	16	,	,	PUNCT
ajst-29630	115	17	but	but	CCONJ
ajst-29630	115	18	also	also	ADV
ajst-29630	115	19	provides	provide	VERB
ajst-29630	115	20	a	a	DET
ajst-29630	115	21	more	more	ADV
ajst-29630	115	22	reliable	reliable	ADJ
ajst-29630	115	23	tool	tool	NOUN
ajst-29630	115	24	for	for	ADP
ajst-29630	115	25	pipeline	pipeline	NOUN
ajst-29630	115	26	design	design	NOUN
ajst-29630	115	27	,	,	PUNCT
ajst-29630	115	28	transportation	transportation	NOUN
ajst-29630	115	29	optimization	optimization	NOUN
ajst-29630	115	30	and	and	CCONJ
ajst-29630	115	31	safety	safety	NOUN
ajst-29630	115	32	assurance	assurance	NOUN
ajst-29630	115	33	.	.	PUNCT
ajst-29630	116	1	the	the	DET
ajst-29630	116	2	results	result	NOUN
ajst-29630	116	3	of	of	ADP
ajst-29630	116	4	this	this	DET
ajst-29630	116	5	study	study	NOUN
ajst-29630	116	6	show	show	VERB
ajst-29630	116	7	that	that	SCONJ
ajst-29630	116	8	the	the	DET
ajst-29630	116	9	lstm	lstm	PROPN
ajst-29630	116	10	algorithm	algorithm	NOUN
ajst-29630	116	11	has	have	VERB
ajst-29630	116	12	important	important	ADJ
ajst-29630	116	13	application	application	NOUN
ajst-29630	116	14	value	value	NOUN
ajst-29630	116	15	in	in	ADP
ajst-29630	116	16	the	the	DET
ajst-29630	116	17	prediction	prediction	NOUN
ajst-29630	116	18	of	of	ADP
ajst-29630	116	19	lng	lng	PROPN
ajst-29630	116	20	long	long	ADJ
ajst-29630	116	21	-	-	PUNCT
ajst-29630	116	22	distance	distance	NOUN
ajst-29630	116	23	pipeline	pipeline	NOUN
ajst-29630	116	24	transportation	transportation	NOUN
ajst-29630	116	25	distance	distance	NOUN
ajst-29630	116	26	,	,	PUNCT
ajst-29630	116	27	which	which	PRON
ajst-29630	116	28	can	can	AUX
ajst-29630	116	29	help	help	VERB
ajst-29630	116	30	improve	improve	VERB
ajst-29630	116	31	transportation	transportation	NOUN
ajst-29630	116	32	efficiency	efficiency	NOUN
ajst-29630	116	33	,	,	PUNCT
ajst-29630	116	34	reduce	reduce	VERB
ajst-29630	116	35	costs	cost	NOUN
ajst-29630	116	36	,	,	PUNCT
ajst-29630	116	37	ensure	ensure	VERB
ajst-29630	116	38	safety	safety	NOUN
ajst-29630	116	39	,	,	PUNCT
ajst-29630	116	40	and	and	CCONJ
ajst-29630	116	41	provide	provide	VERB
ajst-29630	116	42	strong	strong	ADJ
ajst-29630	116	43	support	support	NOUN
ajst-29630	116	44	for	for	ADP
ajst-29630	116	45	decision	decision	NOUN
ajst-29630	116	46	-	-	PUNCT
ajst-29630	116	47	making	making	NOUN
ajst-29630	116	48	in	in	ADP
ajst-29630	116	49	the	the	DET
ajst-29630	116	50	energy	energy	NOUN
ajst-29630	116	51	industry	industry	NOUN
ajst-29630	116	52	.	.	PUNCT
ajst-29630	117	1	future	future	ADJ
ajst-29630	117	2	research	research	NOUN
ajst-29630	117	3	can	can	AUX
ajst-29630	117	4	further	far	ADV
ajst-29630	117	5	combine	combine	VERB
ajst-29630	117	6	more	more	ADJ
ajst-29630	117	7	external	external	ADJ
ajst-29630	117	8	factors	factor	NOUN
ajst-29630	117	9	(	(	PUNCT
ajst-29630	117	10	such	such	ADJ
ajst-29630	117	11	as	as	ADP
ajst-29630	117	12	climate	climate	NOUN
ajst-29630	117	13	change	change	NOUN
ajst-29630	117	14	,	,	PUNCT
ajst-29630	117	15	geographical	geographical	ADJ
ajst-29630	117	16	conditions	condition	NOUN
ajst-29630	117	17	,	,	PUNCT
ajst-29630	117	18	etc	etc	X
ajst-29630	117	19	.	.	X
ajst-29630	117	20	)	)	PUNCT
ajst-29630	118	1	and	and	CCONJ
ajst-29630	118	2	real	real	ADJ
ajst-29630	118	3	-	-	PUNCT
ajst-29630	118	4	time	time	NOUN
ajst-29630	118	5	data	datum	NOUN
ajst-29630	118	6	to	to	PART
ajst-29630	118	7	improve	improve	VERB
ajst-29630	118	8	the	the	DET
ajst-29630	118	9	adaptability	adaptability	NOUN
ajst-29630	118	10	and	and	CCONJ
ajst-29630	118	11	generalization	generalization	NOUN
ajst-29630	118	12	ability	ability	NOUN
ajst-29630	118	13	of	of	ADP
ajst-29630	118	14	the	the	DET
ajst-29630	118	15	model	model	NOUN
ajst-29630	118	16	.	.	PUNCT
ajst-29630	119	1	references	reference	NOUN
ajst-29630	119	2	[	[	X
ajst-29630	119	3	1	1	X
ajst-29630	119	4	]	]	X
ajst-29630	119	5	howarth	howarth	NOUN
ajst-29630	119	6	r	r	PROPN
ajst-29630	119	7	w.	w.	NOUN
ajst-29630	119	8	the	the	DET
ajst-29630	119	9	greenhouse	greenhouse	NOUN
ajst-29630	119	10	gas	gas	NOUN
ajst-29630	119	11	footprint	footprint	NOUN
ajst-29630	119	12	of	of	ADP
ajst-29630	119	13	liquefied	liquefy	VERB
ajst-29630	119	14	natural	natural	ADJ
ajst-29630	119	15	gas	gas	NOUN
ajst-29630	119	16	(	(	PUNCT
ajst-29630	119	17	lng	lng	NOUN
ajst-29630	119	18	)	)	PUNCT
ajst-29630	119	19	exported	export	VERB
ajst-29630	119	20	from	from	ADP
ajst-29630	119	21	the	the	DET
ajst-29630	119	22	united	united	PROPN
ajst-29630	119	23	states[j	states[j	PROPN
ajst-29630	119	24	]	]	PUNCT
ajst-29630	119	25	.	.	PUNCT
ajst-29630	120	1	energy	energy	NOUN
ajst-29630	120	2	science	science	PROPN
ajst-29630	120	3	&	&	CCONJ
ajst-29630	120	4	engineering	engineering	PROPN
ajst-29630	120	5	,	,	PUNCT
ajst-29630	120	6	2024	2024	NUM
ajst-29630	120	7	,	,	PUNCT
ajst-29630	120	8	12(11	12(11	NUM
ajst-29630	120	9	):	):	PUNCT
ajst-29630	120	10	4843	4843	NUM
ajst-29630	120	11	-	-	SYM
ajst-29630	120	12	4859	4859	NUM
ajst-29630	120	13	.	.	PUNCT
ajst-29630	121	1	339	339	NUM
ajst-29630	122	1	[	[	SYM
ajst-29630	122	2	2	2	NUM
ajst-29630	122	3	]	]	PUNCT
ajst-29630	122	4	nubli	nubli	ADJ
ajst-29630	122	5	h	h	PROPN
ajst-29630	122	6	,	,	PUNCT
ajst-29630	122	7	jung	jung	PROPN
ajst-29630	122	8	d	d	PROPN
ajst-29630	122	9	,	,	PUNCT
ajst-29630	122	10	kim	kim	PROPN
ajst-29630	122	11	s	s	PROPN
ajst-29630	122	12	j	j	PROPN
ajst-29630	122	13	,	,	PUNCT
ajst-29630	122	14	et	et	PROPN
ajst-29630	122	15	al	al	PROPN
ajst-29630	122	16	.	.	PROPN
ajst-29630	123	1	structural	structural	ADJ
ajst-29630	123	2	impact	impact	NOUN
ajst-29630	123	3	under	under	ADP
ajst-29630	123	4	accidental	accidental	ADJ
ajst-29630	123	5	lng	lng	PROPN
ajst-29630	123	6	release	release	NOUN
ajst-29630	123	7	on	on	ADP
ajst-29630	123	8	the	the	DET
ajst-29630	123	9	lng	lng	PROPN
ajst-29630	123	10	bunkering	bunker	VERB
ajst-29630	123	11	ship	ship	NOUN
ajst-29630	123	12	:	:	PUNCT
ajst-29630	123	13	implementation	implementation	NOUN
ajst-29630	123	14	of	of	ADP
ajst-29630	123	15	advanced	advanced	ADJ
ajst-29630	123	16	cryogenic	cryogenic	NOUN
ajst-29630	123	17	risk	risk	NOUN
ajst-29630	123	18	analysis[j	analysis[j	NOUN
ajst-29630	123	19	]	]	PUNCT
ajst-29630	123	20	.	.	PUNCT
ajst-29630	124	1	process	process	NOUN
ajst-29630	124	2	safety	safety	NOUN
ajst-29630	124	3	and	and	CCONJ
ajst-29630	124	4	environmental	environmental	ADJ
ajst-29630	124	5	protection	protection	NOUN
ajst-29630	124	6	,	,	PUNCT
ajst-29630	124	7	2024	2024	NUM
ajst-29630	124	8	,	,	PUNCT
ajst-29630	124	9	186	186	NUM
ajst-29630	124	10	:	:	SYM
ajst-29630	124	11	329347	329347	NUM
ajst-29630	124	12	.	.	PUNCT
ajst-29630	125	1	[	[	X
ajst-29630	125	2	3	3	NUM
ajst-29630	125	3	]	]	X
ajst-29630	125	4	zhu	zhu	PROPN
ajst-29630	125	5	y	y	PROPN
ajst-29630	125	6	,	,	PUNCT
ajst-29630	125	7	allen	allen	PROPN
ajst-29630	125	8	d	d	PROPN
ajst-29630	125	9	t	t	PROPN
ajst-29630	125	10	,	,	PUNCT
ajst-29630	125	11	ravikumar	ravikumar	VERB
ajst-29630	125	12	a	a	DET
ajst-29630	125	13	p.	p.	PROPN
ajst-29630	125	14	geospatial	geospatial	ADJ
ajst-29630	125	15	life	life	NOUN
ajst-29630	125	16	cycle	cycle	NOUN
ajst-29630	125	17	analysis	analysis	NOUN
ajst-29630	125	18	of	of	ADP
ajst-29630	125	19	greenhouse	greenhouse	NOUN
ajst-29630	125	20	gas	gas	NOUN
ajst-29630	125	21	emissions	emission	NOUN
ajst-29630	125	22	from	from	ADP
ajst-29630	125	23	us	we	PRON
ajst-29630	125	24	liquefied	liquefy	VERB
ajst-29630	125	25	natural	natural	ADJ
ajst-29630	125	26	gas	gas	NOUN
ajst-29630	125	27	supply	supply	NOUN
ajst-29630	125	28	chains[j	chains[j	PROPN
ajst-29630	125	29	]	]	PUNCT
ajst-29630	125	30	.	.	PUNCT
ajst-29630	126	1	acs	acs	PROPN
ajst-29630	126	2	sustainable	sustainable	ADJ
ajst-29630	126	3	chemistry	chemistry	NOUN
ajst-29630	126	4	&	&	CCONJ
ajst-29630	126	5	engineering	engineering	NOUN
ajst-29630	126	6	,	,	PUNCT
ajst-29630	126	7	2024	2024	NUM
ajst-29630	126	8	,	,	PUNCT
ajst-29630	126	9	12(49	12(49	NUM
ajst-29630	126	10	):	):	PUNCT
ajst-29630	126	11	17843	17843	NUM
ajst-29630	126	12	-	-	SYM
ajst-29630	126	13	17854	17854	NUM
ajst-29630	126	14	.	.	PUNCT
ajst-29630	127	1	[	[	X
ajst-29630	127	2	4	4	X
ajst-29630	127	3	]	]	PUNCT
ajst-29630	127	4	ghiyami	ghiyami	NOUN
ajst-29630	127	5	m	m	PROPN
ajst-29630	127	6	,	,	PUNCT
ajst-29630	127	7	bahramian	bahramian	PROPN
ajst-29630	127	8	a	a	X
ajst-29630	127	9	,	,	PUNCT
ajst-29630	127	10	sedaee	sedaee	PROPN
ajst-29630	127	11	b.	b.	PROPN
ajst-29630	127	12	development	development	NOUN
ajst-29630	127	13	and	and	CCONJ
ajst-29630	127	14	performance	performance	NOUN
ajst-29630	127	15	assessment	assessment	NOUN
ajst-29630	127	16	of	of	ADP
ajst-29630	127	17	a	a	DET
ajst-29630	127	18	novel	novel	ADJ
ajst-29630	127	19	multigeneration	multigeneration	NOUN
ajst-29630	127	20	clean	clean	ADJ
ajst-29630	127	21	energy	energy	NOUN
ajst-29630	127	22	system	system	NOUN
ajst-29630	127	23	based	base	VERB
ajst-29630	127	24	on	on	ADP
ajst-29630	127	25	biomass	biomass	NOUN
ajst-29630	127	26	-	-	PUNCT
ajst-29630	127	27	lng	lng	NOUN
ajst-29630	127	28	using	use	VERB
ajst-29630	127	29	a	a	DET
ajst-29630	127	30	dynamic	dynamic	ADJ
ajst-29630	127	31	model	model	NOUN
ajst-29630	127	32	and	and	CCONJ
ajst-29630	127	33	supervised	supervise	VERB
ajst-29630	127	34	learning	learn	VERB
ajst-29630	127	35	algorithms[j	algorithms[j	PROPN
ajst-29630	127	36	]	]	X
ajst-29630	127	37	.	.	PUNCT
ajst-29630	128	1	international	international	ADJ
ajst-29630	128	2	journal	journal	PROPN
ajst-29630	128	3	of	of	ADP
ajst-29630	128	4	hydrogen	hydrogen	NOUN
ajst-29630	128	5	energy	energy	NOUN
ajst-29630	128	6	,	,	PUNCT
ajst-29630	128	7	2024	2024	NUM
ajst-29630	128	8	,	,	PUNCT
ajst-29630	128	9	66	66	NUM
ajst-29630	128	10	:	:	SYM
ajst-29630	128	11	10	10	NUM
ajst-29630	128	12	-	-	SYM
ajst-29630	128	13	23	23	NUM
ajst-29630	128	14	.	.	PUNCT
ajst-29630	129	1	[	[	X
ajst-29630	129	2	5	5	NUM
ajst-29630	129	3	]	]	PUNCT
ajst-29630	129	4	balali	balali	NOUN
ajst-29630	129	5	a	a	DET
ajst-29630	129	6	,	,	PUNCT
ajst-29630	129	7	moghimi	moghimi	PROPN
ajst-29630	129	8	m.	m.	NOUN
ajst-29630	129	9	energy	energy	NOUN
ajst-29630	129	10	system	system	NOUN
ajst-29630	129	11	design	design	NOUN
ajst-29630	129	12	based	base	VERB
ajst-29630	129	13	on	on	ADP
ajst-29630	129	14	municipal	municipal	ADJ
ajst-29630	129	15	solid	solid	ADJ
ajst-29630	129	16	waste	waste	NOUN
ajst-29630	129	17	gasification	gasification	NOUN
ajst-29630	129	18	and	and	CCONJ
ajst-29630	129	19	sofc	sofc	NOUN
ajst-29630	129	20	for	for	ADP
ajst-29630	129	21	multi	multi	ADJ
ajst-29630	129	22	-	-	ADJ
ajst-29630	129	23	demand	demand	ADJ
ajst-29630	129	24	applications	application	NOUN
ajst-29630	129	25	through	through	ADP
ajst-29630	129	26	multi	multi	ADJ
ajst-29630	129	27	-	-	ADJ
ajst-29630	129	28	heat	heat	ADJ
ajst-29630	129	29	recovery	recovery	NOUN
ajst-29630	129	30	approach	approach	NOUN
ajst-29630	129	31	:	:	PUNCT
ajst-29630	129	32	4e	4e	NOUN
ajst-29630	129	33	assessment	assessment	NOUN
ajst-29630	129	34	and	and	CCONJ
ajst-29630	129	35	machine	machine	NOUN
ajst-29630	129	36	learning	learn	VERB
ajst-29630	129	37	optimization[j	optimization[j	NOUN
ajst-29630	129	38	]	]	PUNCT
ajst-29630	129	39	.	.	PUNCT
ajst-29630	130	1	process	process	NOUN
ajst-29630	130	2	safety	safety	NOUN
ajst-29630	130	3	and	and	CCONJ
ajst-29630	130	4	environmental	environmental	ADJ
ajst-29630	130	5	protection	protection	NOUN
ajst-29630	130	6	,	,	PUNCT
ajst-29630	130	7	2025	2025	NUM
ajst-29630	130	8	.	.	PUNCT
ajst-29630	131	1	[	[	X
ajst-29630	131	2	6	6	NUM
ajst-29630	131	3	]	]	X
ajst-29630	131	4	al	al	PROPN
ajst-29630	131	5	-	-	PUNCT
ajst-29630	131	6	selwi	selwi	PROPN
ajst-29630	131	7	s	s	PART
ajst-29630	131	8	m	m	PROPN
ajst-29630	131	9	,	,	PUNCT
ajst-29630	131	10	hassan	hassan	PROPN
ajst-29630	131	11	m	m	PROPN
ajst-29630	131	12	f	f	PROPN
ajst-29630	131	13	,	,	PUNCT
ajst-29630	131	14	abdulkadir	abdulkadir	PROPN
ajst-29630	131	15	s	s	PROPN
ajst-29630	131	16	j	j	PROPN
ajst-29630	131	17	,	,	PUNCT
ajst-29630	131	18	et	et	PROPN
ajst-29630	131	19	al	al	PROPN
ajst-29630	131	20	.	.	PROPN
ajst-29630	131	21	rnn	rnn	PROPN
ajst-29630	131	22	-	-	PUNCT
ajst-29630	131	23	lstm	lstm	PROPN
ajst-29630	131	24	:	:	PUNCT
ajst-29630	131	25	from	from	ADP
ajst-29630	131	26	applications	application	NOUN
ajst-29630	131	27	to	to	ADP
ajst-29630	131	28	modeling	model	VERB
ajst-29630	131	29	techniques	technique	NOUN
ajst-29630	131	30	and	and	CCONJ
ajst-29630	131	31	beyond	beyond	ADP
ajst-29630	131	32	—	—	PUNCT
ajst-29630	131	33	systematic	systematic	PROPN
ajst-29630	131	34	review[j	review[j	PROPN
ajst-29630	131	35	]	]	PUNCT
ajst-29630	131	36	.	.	PUNCT
ajst-29630	132	1	journal	journal	PROPN
ajst-29630	132	2	of	of	ADP
ajst-29630	132	3	king	king	PROPN
ajst-29630	132	4	saud	saud	PROPN
ajst-29630	132	5	universitycomputer	universitycomputer	PROPN
ajst-29630	132	6	and	and	CCONJ
ajst-29630	132	7	information	information	NOUN
ajst-29630	132	8	sciences	science	NOUN
ajst-29630	132	9	,	,	PUNCT
ajst-29630	132	10	2024	2024	NUM
ajst-29630	132	11	:	:	PUNCT
ajst-29630	132	12	102068	102068	NUM
ajst-29630	132	13	.	.	PUNCT
ajst-29630	133	1	[	[	X
ajst-29630	133	2	7	7	X
ajst-29630	133	3	]	]	X
ajst-29630	133	4	xiang	xiang	PROPN
ajst-29630	133	5	p	p	PROPN
ajst-29630	133	6	,	,	PUNCT
ajst-29630	133	7	zhang	zhang	PROPN
ajst-29630	133	8	p	p	X
ajst-29630	133	9	,	,	PUNCT
ajst-29630	133	10	zhao	zhao	PROPN
ajst-29630	133	11	h	h	NOUN
ajst-29630	133	12	,	,	PUNCT
ajst-29630	133	13	et	et	PROPN
ajst-29630	133	14	al	al	PROPN
ajst-29630	133	15	.	.	PUNCT
ajst-29630	134	1	seismic	seismic	ADJ
ajst-29630	134	2	response	response	NOUN
ajst-29630	134	3	prediction	prediction	NOUN
ajst-29630	134	4	of	of	ADP
ajst-29630	134	5	a	a	DET
ajst-29630	134	6	train	train	NOUN
ajst-29630	134	7	-	-	PUNCT
ajst-29630	134	8	bridge	bridge	NOUN
ajst-29630	134	9	coupled	couple	VERB
ajst-29630	134	10	system	system	NOUN
ajst-29630	134	11	based	base	VERB
ajst-29630	134	12	on	on	ADP
ajst-29630	134	13	a	a	DET
ajst-29630	134	14	lstm	lstm	ADJ
ajst-29630	134	15	neural	neural	ADJ
ajst-29630	134	16	network[j	network[j	PROPN
ajst-29630	134	17	]	]	PUNCT
ajst-29630	134	18	.	.	PUNCT
ajst-29630	135	1	mechanics	mechanic	NOUN
ajst-29630	135	2	based	base	VERB
ajst-29630	135	3	design	design	NOUN
ajst-29630	135	4	of	of	ADP
ajst-29630	135	5	structures	structure	NOUN
ajst-29630	135	6	and	and	CCONJ
ajst-29630	135	7	machines	machine	NOUN
ajst-29630	135	8	,	,	PUNCT
ajst-29630	135	9	2024	2024	NUM
ajst-29630	135	10	,	,	PUNCT
ajst-29630	135	11	52(8	52(8	NUM
ajst-29630	135	12	):	):	PUNCT
ajst-29630	135	13	5673	5673	NUM
ajst-29630	135	14	-	-	SYM
ajst-29630	135	15	5695	5695	NUM
ajst-29630	135	16	.	.	PUNCT
ajst-29630	136	1	[	[	X
ajst-29630	136	2	8	8	NUM
ajst-29630	136	3	]	]	X
ajst-29630	136	4	kurani	kurani	X
ajst-29630	136	5	a	a	PROPN
ajst-29630	136	6	,	,	PUNCT
ajst-29630	136	7	doshi	doshi	PROPN
ajst-29630	136	8	p	p	PROPN
ajst-29630	136	9	,	,	PUNCT
ajst-29630	136	10	vakharia	vakharia	PROPN
ajst-29630	136	11	a	a	PROPN
ajst-29630	136	12	,	,	PUNCT
ajst-29630	136	13	et	et	PROPN
ajst-29630	136	14	al	al	PROPN
ajst-29630	136	15	.	.	PUNCT
ajst-29630	137	1	a	a	DET
ajst-29630	137	2	comprehensive	comprehensive	ADJ
ajst-29630	137	3	comparative	comparative	ADJ
ajst-29630	137	4	study	study	NOUN
ajst-29630	137	5	of	of	ADP
ajst-29630	137	6	artificial	artificial	ADJ
ajst-29630	137	7	neural	neural	ADJ
ajst-29630	137	8	network	network	NOUN
ajst-29630	137	9	(	(	PUNCT
ajst-29630	137	10	ann	ann	PROPN
ajst-29630	137	11	)	)	PUNCT
ajst-29630	137	12	and	and	CCONJ
ajst-29630	137	13	support	support	VERB
ajst-29630	137	14	vector	vector	NOUN
ajst-29630	137	15	machines	machine	NOUN
ajst-29630	137	16	(	(	PUNCT
ajst-29630	137	17	svm	svm	PROPN
ajst-29630	137	18	)	)	PUNCT
ajst-29630	137	19	on	on	ADP
ajst-29630	137	20	stock	stock	NOUN
ajst-29630	137	21	forecasting[j	forecasting[j	NOUN
ajst-29630	137	22	]	]	PUNCT
ajst-29630	137	23	.	.	PUNCT
ajst-29630	138	1	annals	annal	NOUN
ajst-29630	138	2	of	of	ADP
ajst-29630	138	3	data	data	NOUN
ajst-29630	138	4	science	science	NOUN
ajst-29630	138	5	,	,	PUNCT
ajst-29630	138	6	2023	2023	NUM
ajst-29630	138	7	,	,	PUNCT
ajst-29630	138	8	10(1	10(1	NUM
ajst-29630	138	9	):	):	PUNCT
ajst-29630	138	10	183	183	NUM
ajst-29630	138	11	-	-	SYM
ajst-29630	138	12	208	208	NUM
ajst-29630	138	13	.	.	PUNCT
ajst-29630	139	1	[	[	X
ajst-29630	139	2	9	9	NUM
ajst-29630	139	3	]	]	X
ajst-29630	139	4	zhang	zhang	PROPN
ajst-29630	139	5	b	b	PROPN
ajst-29630	139	6	,	,	PUNCT
ajst-29630	139	7	xu	xu	PROPN
ajst-29630	139	8	n	n	CCONJ
ajst-29630	139	9	,	,	PUNCT
ajst-29630	139	10	wang	wang	PROPN
ajst-29630	139	11	b	b	PROPN
ajst-29630	139	12	,	,	PUNCT
ajst-29630	139	13	et	et	PROPN
ajst-29630	139	14	al	al	PROPN
ajst-29630	139	15	.	.	PUNCT
ajst-29630	140	1	a	a	DET
ajst-29630	140	2	mathematical	mathematical	ADJ
ajst-29630	140	3	framework	framework	NOUN
ajst-29630	140	4	for	for	ADP
ajst-29630	140	5	modeling	modeling	NOUN
ajst-29630	140	6	and	and	CCONJ
ajst-29630	140	7	designing	design	VERB
ajst-29630	140	8	a	a	DET
ajst-29630	140	9	long	long	ADJ
ajst-29630	140	10	distance	distance	NOUN
ajst-29630	140	11	cryogenic	cryogenic	NOUN
ajst-29630	140	12	liquefied	liquefy	VERB
ajst-29630	140	13	natural	natural	ADJ
ajst-29630	140	14	gas	gas	NOUN
ajst-29630	140	15	pipeline	pipeline	NOUN
ajst-29630	140	16	:	:	PUNCT
ajst-29630	140	17	a	a	DET
ajst-29630	140	18	practical	practical	ADJ
ajst-29630	140	19	study	study	NOUN
ajst-29630	140	20	and	and	CCONJ
ajst-29630	140	21	analysis	analysis	NOUN
ajst-29630	140	22	in	in	ADP
ajst-29630	140	23	shandong	shandong	PROPN
ajst-29630	140	24	,	,	PUNCT
ajst-29630	140	25	china[j	china[j	PROPN
ajst-29630	140	26	]	]	PUNCT
ajst-29630	140	27	.	.	PUNCT
ajst-29630	141	1	energy	energy	NOUN
ajst-29630	141	2	conversion	conversion	NOUN
ajst-29630	141	3	and	and	CCONJ
ajst-29630	141	4	management	management	NOUN
ajst-29630	141	5	,	,	PUNCT
ajst-29630	141	6	2024	2024	NUM
ajst-29630	141	7	,	,	PUNCT
ajst-29630	141	8	312	312	NUM
ajst-29630	141	9	:	:	SYM
ajst-29630	141	10	118516	118516	NUM
ajst-29630	141	11	.	.	PUNCT
ajst-29630	142	1	[	[	X
ajst-29630	142	2	10	10	NUM
ajst-29630	142	3	]	]	PUNCT
ajst-29630	142	4	xu	xu	PROPN
ajst-29630	143	1	k	k	PROPN
ajst-29630	143	2	,	,	PUNCT
ajst-29630	143	3	hu	hu	PROPN
ajst-29630	143	4	j	j	PROPN
ajst-29630	143	5	,	,	PUNCT
ajst-29630	143	6	zhang	zhang	PROPN
ajst-29630	143	7	l	l	PROPN
ajst-29630	143	8	,	,	PUNCT
ajst-29630	143	9	et	et	PROPN
ajst-29630	143	10	al	al	PROPN
ajst-29630	143	11	.	.	PUNCT
ajst-29630	144	1	a	a	DET
ajst-29630	144	2	risk	risk	NOUN
ajst-29630	144	3	factor	factor	NOUN
ajst-29630	144	4	tracing	trace	VERB
ajst-29630	144	5	method	method	NOUN
ajst-29630	144	6	for	for	ADP
ajst-29630	144	7	lng	lng	NOUN
ajst-29630	144	8	receiving	receive	VERB
ajst-29630	144	9	terminals	terminal	NOUN
ajst-29630	144	10	based	base	VERB
ajst-29630	144	11	on	on	ADP
ajst-29630	144	12	gat	gat	NOUN
ajst-29630	144	13	and	and	CCONJ
ajst-29630	144	14	a	a	DET
ajst-29630	144	15	bidirectional	bidirectional	ADJ
ajst-29630	144	16	lstm	lstm	NOUN
ajst-29630	144	17	network[j	network[j	PROPN
ajst-29630	144	18	]	]	PUNCT
ajst-29630	144	19	.	.	PUNCT
ajst-29630	145	1	process	process	NOUN
ajst-29630	145	2	safety	safety	NOUN
ajst-29630	145	3	and	and	CCONJ
ajst-29630	145	4	environmental	environmental	ADJ
ajst-29630	145	5	protection	protection	NOUN
ajst-29630	145	6	,	,	PUNCT
ajst-29630	145	7	2023	2023	NUM
ajst-29630	145	8	,	,	PUNCT
ajst-29630	145	9	170	170	NUM
ajst-29630	145	10	:	:	SYM
ajst-29630	145	11	694	694	NUM
ajst-29630	145	12	-	-	SYM
ajst-29630	145	13	708	708	NUM
ajst-29630	145	14	.	.	PUNCT
ajst-29630	146	1	[	[	X
ajst-29630	146	2	11	11	NUM
ajst-29630	146	3	]	]	X
ajst-29630	146	4	wu	wu	PROPN
ajst-29630	146	5	y	y	PROPN
ajst-29630	146	6	,	,	PUNCT
ajst-29630	146	7	yang	yang	PROPN
ajst-29630	146	8	g	g	PROPN
ajst-29630	146	9	,	,	PUNCT
ajst-29630	146	10	sun	sun	PROPN
ajst-29630	146	11	j	j	PROPN
ajst-29630	146	12	,	,	PUNCT
ajst-29630	146	13	et	et	PROPN
ajst-29630	146	14	al	al	PROPN
ajst-29630	146	15	.	.	PUNCT
ajst-29630	147	1	digital	digital	PROPN
ajst-29630	147	2	twin	twin	PROPN
ajst-29630	147	3	modeling	modeling	NOUN
ajst-29630	147	4	and	and	CCONJ
ajst-29630	147	5	leak	leak	VERB
ajst-29630	147	6	diagnosis	diagnosis	NOUN
ajst-29630	147	7	of	of	ADP
ajst-29630	147	8	temperature	temperature	NOUN
ajst-29630	147	9	and	and	CCONJ
ajst-29630	147	10	stress	stress	NOUN
ajst-29630	147	11	fields	field	NOUN
ajst-29630	147	12	in	in	ADP
ajst-29630	147	13	lng	lng	PROPN
ajst-29630	147	14	storage	storage	PROPN
ajst-29630	147	15	tanks[j	tanks[j	PROPN
ajst-29630	147	16	]	]	PUNCT
ajst-29630	147	17	.	.	PUNCT
ajst-29630	148	1	measurement	measurement	PROPN
ajst-29630	148	2	,	,	PUNCT
ajst-29630	148	3	2024	2024	NUM
ajst-29630	148	4	,	,	PUNCT
ajst-29630	148	5	228	228	NUM
ajst-29630	148	6	:	:	SYM
ajst-29630	148	7	114374	114374	NUM
ajst-29630	148	8	.	.	PUNCT
ajst-29630	149	1	[	[	X
ajst-29630	149	2	12	12	NUM
ajst-29630	149	3	]	]	PUNCT
ajst-29630	149	4	oyewola	oyewola	PROPN
ajst-29630	150	1	d	d	X
ajst-29630	150	2	o	o	NOUN
ajst-29630	150	3	,	,	PUNCT
ajst-29630	150	4	akinwunmi	akinwunmi	PROPN
ajst-29630	150	5	s	s	PROPN
ajst-29630	150	6	a	a	PRON
ajst-29630	150	7	,	,	PUNCT
ajst-29630	150	8	omotehinwa	omotehinwa	PROPN
ajst-29630	150	9	t	t	PROPN
ajst-29630	150	10	o.	o.	PROPN
ajst-29630	150	11	deep	deep	PROPN
ajst-29630	150	12	lstm	lstm	PROPN
ajst-29630	150	13	and	and	CCONJ
ajst-29630	150	14	lstm	lstm	ADJ
ajst-29630	150	15	-	-	PUNCT
ajst-29630	150	16	attention	attention	NOUN
ajst-29630	150	17	q	q	NOUN
ajst-29630	150	18	-	-	PUNCT
ajst-29630	150	19	learning	learn	VERB
ajst-29630	150	20	based	base	VERB
ajst-29630	150	21	reinforcement	reinforcement	NOUN
ajst-29630	150	22	learning	learning	NOUN
ajst-29630	150	23	in	in	ADP
ajst-29630	150	24	oil	oil	NOUN
ajst-29630	150	25	and	and	CCONJ
ajst-29630	150	26	gas	gas	NOUN
ajst-29630	150	27	sector	sector	NOUN
ajst-29630	150	28	prediction[j	prediction[j	PROPN
ajst-29630	150	29	]	]	PUNCT
ajst-29630	150	30	.	.	PUNCT
ajst-29630	151	1	knowledge	knowledge	NOUN
ajst-29630	151	2	-	-	PUNCT
ajst-29630	151	3	based	base	VERB
ajst-29630	151	4	systems	system	NOUN
ajst-29630	151	5	,	,	PUNCT
ajst-29630	151	6	2024	2024	NUM
ajst-29630	151	7	,	,	PUNCT
ajst-29630	151	8	284	284	NUM
ajst-29630	151	9	:	:	SYM
ajst-29630	151	10	111290	111290	NUM
ajst-29630	151	11	.	.	PUNCT