id	sid	tid	token	lemma	pos
iajs-3916	1	1	423	423	NUM
iajs-3916	1	2	©	©	ADP
iajs-3916	1	3	2024	2024	NUM
iajs-3916	1	4	the	the	DET
iajs-3916	1	5	author(s	author(s	NOUN
iajs-3916	1	6	)	)	PUNCT
iajs-3916	1	7	.	.	PUNCT
iajs-3916	2	1	published	publish	VERB
iajs-3916	2	2	by	by	ADP
iajs-3916	2	3	college	college	NOUN
iajs-3916	2	4	of	of	ADP
iajs-3916	2	5	education	education	NOUN
iajs-3916	2	6	for	for	ADP
iajs-3916	2	7	pure	pure	ADJ
iajs-3916	2	8	science	science	NOUN
iajs-3916	2	9	(	(	PUNCT
iajs-3916	2	10	ibn	ibn	PROPN
iajs-3916	2	11	al	al	PROPN
iajs-3916	2	12	-	-	PUNCT
iajs-3916	2	13	haitham	haitham	PROPN
iajs-3916	2	14	)	)	PUNCT
iajs-3916	2	15	,	,	PUNCT
iajs-3916	2	16	university	university	NOUN
iajs-3916	2	17	of	of	ADP
iajs-3916	2	18	baghdad	baghdad	PROPN
iajs-3916	2	19	.	.	PUNCT
iajs-3916	3	1	this	this	PRON
iajs-3916	3	2	is	be	AUX
iajs-3916	3	3	an	an	DET
iajs-3916	3	4	open	open	ADJ
iajs-3916	3	5	-	-	PUNCT
iajs-3916	3	6	access	access	NOUN
iajs-3916	3	7	article	article	NOUN
iajs-3916	3	8	distributed	distribute	VERB
iajs-3916	3	9	under	under	ADP
iajs-3916	3	10	the	the	DET
iajs-3916	3	11	terms	term	NOUN
iajs-3916	3	12	of	of	ADP
iajs-3916	3	13	the	the	DET
iajs-3916	3	14	creative	creative	ADJ
iajs-3916	3	15	commons	common	NOUN
iajs-3916	3	16	attribution	attribution	NOUN
iajs-3916	3	17	4.0	4.0	NUM
iajs-3916	3	18	international	international	ADJ
iajs-3916	3	19	license	license	NOUN
iajs-3916	3	20	ibn	ibn	PROPN
iajs-3916	3	21	al	al	PROPN
iajs-3916	3	22	-	-	PUNCT
iajs-3916	3	23	haitham	haitham	PROPN
iajs-3916	3	24	journal	journal	PROPN
iajs-3916	3	25	for	for	ADP
iajs-3916	3	26	pure	pure	ADJ
iajs-3916	3	27	and	and	CCONJ
iajs-3916	3	28	applied	applied	ADJ
iajs-3916	3	29	sciences	sciences	PROPN
iajs-3916	3	30	journal	journal	PROPN
iajs-3916	3	31	homepage	homepage	NOUN
iajs-3916	3	32	:	:	PUNCT
iajs-3916	3	33	jih.uobaghdad.edu.iq	jih.uobaghdad.edu.iq	NOUN
iajs-3916	3	34	pissn	pissn	ADJ
iajs-3916	3	35	:	:	PUNCT
iajs-3916	3	36	1609	1609	NUM
iajs-3916	3	37	-	-	SYM
iajs-3916	3	38	4042	4042	NUM
iajs-3916	3	39	,	,	PUNCT
iajs-3916	3	40	eissn	eissn	NOUN
iajs-3916	3	41	:	:	PUNCT
iajs-3916	3	42	2521	2521	NUM
iajs-3916	3	43	-	-	SYM
iajs-3916	3	44	3407	3407	NUM
iajs-3916	3	45	ihjpas	ihjpa	NOUN
iajs-3916	3	46	.	.	PUNCT
iajs-3916	4	1	2024	2024	NUM
iajs-3916	4	2	,	,	PUNCT
iajs-3916	4	3	37(4	37(4	NUM
iajs-3916	4	4	)	)	PUNCT
iajs-3916	4	5	mobility	mobility	NOUN
iajs-3916	4	6	prediction	prediction	NOUN
iajs-3916	4	7	based	base	VERB
iajs-3916	4	8	on	on	ADP
iajs-3916	4	9	deep	deep	ADJ
iajs-3916	4	10	learning	learning	NOUN
iajs-3916	4	11	approach	approach	NOUN
iajs-3916	4	12	using	use	VERB
iajs-3916	4	13	gps	gps	PROPN
iajs-3916	4	14	phone	phone	NOUN
iajs-3916	4	15	nabaa	nabaa	PROPN
iajs-3916	4	16	kareem	kareem	PROPN
iajs-3916	4	17	mhalhal1	mhalhal1	PROPN
iajs-3916	4	18	and	and	CCONJ
iajs-3916	4	19	suhad	suhad	VERB
iajs-3916	4	20	faisal	faisal	PROPN
iajs-3916	4	21	behadili2	behadili2	PROPN
iajs-3916	4	22	,	,	PUNCT
iajs-3916	4	23	*	*	SYM
iajs-3916	4	24	1,2	1,2	NUM
iajs-3916	4	25	computer	computer	NOUN
iajs-3916	4	26	science	science	NOUN
iajs-3916	4	27	department	department	PROPN
iajs-3916	4	28	,	,	PUNCT
iajs-3916	4	29	college	college	NOUN
iajs-3916	4	30	of	of	ADP
iajs-3916	4	31	sciences	science	NOUN
iajs-3916	4	32	,	,	PUNCT
iajs-3916	4	33	university	university	NOUN
iajs-3916	4	34	of	of	ADP
iajs-3916	4	35	baghdad	baghdad	PROPN
iajs-3916	4	36	,	,	PUNCT
iajs-3916	4	37	baghdad	baghdad	PROPN
iajs-3916	4	38	,	,	PUNCT
iajs-3916	4	39	iraq	iraq	PROPN
iajs-3916	4	40	.	.	PUNCT
iajs-3916	5	1	*	*	PUNCT
iajs-3916	5	2	corresponding	correspond	VERB
iajs-3916	5	3	author	author	NOUN
iajs-3916	5	4	.	.	PUNCT
iajs-3916	6	1	received	receive	VERB
iajs-3916	6	2	:	:	PUNCT
iajs-3916	6	3	28	28	NUM
iajs-3916	6	4	february	february	NOUN
iajs-3916	6	5	2024	2024	NUM
iajs-3916	6	6	accepted	accept	VERB
iajs-3916	6	7	:	:	PUNCT
iajs-3916	6	8	21	21	NUM
iajs-3916	6	9	april	april	PROPN
iajs-3916	6	10	2024	2024	NUM
iajs-3916	6	11	published	publish	VERB
iajs-3916	6	12	:	:	PUNCT
iajs-3916	6	13	20	20	NUM
iajs-3916	6	14	october	october	NOUN
iajs-3916	6	15	2024	2024	NUM
iajs-3916	6	16	doi.org/10.30526/37.4.3916	doi.org/10.30526/37.4.3916	NOUN
iajs-3916	6	17	abstract	abstract	ADJ
iajs-3916	6	18	accurate	accurate	ADJ
iajs-3916	6	19	prediction	prediction	NOUN
iajs-3916	6	20	of	of	ADP
iajs-3916	6	21	activity	activity	NOUN
iajs-3916	6	22	location	location	NOUN
iajs-3916	6	23	is	be	AUX
iajs-3916	6	24	a	a	DET
iajs-3916	6	25	crucial	crucial	ADJ
iajs-3916	6	26	component	component	NOUN
iajs-3916	6	27	in	in	ADP
iajs-3916	6	28	various	various	ADJ
iajs-3916	6	29	mobility	mobility	NOUN
iajs-3916	6	30	applications	application	NOUN
iajs-3916	6	31	and	and	CCONJ
iajs-3916	6	32	is	be	AUX
iajs-3916	6	33	particularly	particularly	ADV
iajs-3916	6	34	vital	vital	ADJ
iajs-3916	6	35	for	for	ADP
iajs-3916	6	36	the	the	DET
iajs-3916	6	37	creation	creation	NOUN
iajs-3916	6	38	of	of	ADP
iajs-3916	6	39	customized	customized	ADJ
iajs-3916	6	40	,	,	PUNCT
iajs-3916	6	41	environmentally	environmentally	ADV
iajs-3916	6	42	friendly	friendly	ADJ
iajs-3916	6	43	transport	transport	NOUN
iajs-3916	6	44	systems	system	NOUN
iajs-3916	6	45	.	.	PUNCT
iajs-3916	7	1	next	next	ADJ
iajs-3916	7	2	-	-	PUNCT
iajs-3916	7	3	location	location	NOUN
iajs-3916	7	4	prediction	prediction	NOUN
iajs-3916	7	5	,	,	PUNCT
iajs-3916	7	6	which	which	PRON
iajs-3916	7	7	entails	entail	VERB
iajs-3916	7	8	predicting	predict	VERB
iajs-3916	7	9	a	a	DET
iajs-3916	7	10	user	user	NOUN
iajs-3916	7	11	's	's	PART
iajs-3916	7	12	forthcoming	forthcoming	ADJ
iajs-3916	7	13	place	place	NOUN
iajs-3916	7	14	by	by	ADP
iajs-3916	7	15	analyzing	analyze	VERB
iajs-3916	7	16	their	their	PRON
iajs-3916	7	17	previous	previous	ADJ
iajs-3916	7	18	movement	movement	NOUN
iajs-3916	7	19	patterns	pattern	NOUN
iajs-3916	7	20	,	,	PUNCT
iajs-3916	7	21	has	have	VERB
iajs-3916	7	22	substantial	substantial	ADJ
iajs-3916	7	23	ramifications	ramification	NOUN
iajs-3916	7	24	in	in	ADP
iajs-3916	7	25	diverse	diverse	ADJ
iajs-3916	7	26	fields	field	NOUN
iajs-3916	7	27	,	,	PUNCT
iajs-3916	7	28	such	such	ADJ
iajs-3916	7	29	as	as	ADP
iajs-3916	7	30	urban	urban	ADJ
iajs-3916	7	31	planning	planning	NOUN
iajs-3916	7	32	,	,	PUNCT
iajs-3916	7	33	geo	geo	PROPN
iajs-3916	7	34	-	-	PUNCT
iajs-3916	7	35	marketing	marketing	NOUN
iajs-3916	7	36	,	,	PUNCT
iajs-3916	7	37	disease	disease	NOUN
iajs-3916	7	38	transmission	transmission	NOUN
iajs-3916	7	39	,	,	PUNCT
iajs-3916	7	40	wireless	wireless	ADJ
iajs-3916	7	41	network	network	NOUN
iajs-3916	7	42	performance	performance	NOUN
iajs-3916	7	43	,	,	PUNCT
iajs-3916	7	44	recommender	recommender	NOUN
iajs-3916	7	45	systems	system	NOUN
iajs-3916	7	46	,	,	PUNCT
iajs-3916	7	47	and	and	CCONJ
iajs-3916	7	48	numerous	numerous	ADJ
iajs-3916	7	49	other	other	ADJ
iajs-3916	7	50	sectors	sector	NOUN
iajs-3916	7	51	.	.	PUNCT
iajs-3916	8	1	recently	recently	ADV
iajs-3916	8	2	,	,	PUNCT
iajs-3916	8	3	researchers	researcher	NOUN
iajs-3916	8	4	have	have	AUX
iajs-3916	8	5	proposed	propose	VERB
iajs-3916	8	6	a	a	DET
iajs-3916	8	7	variety	variety	NOUN
iajs-3916	8	8	of	of	ADP
iajs-3916	8	9	predictors	predictor	NOUN
iajs-3916	8	10	,	,	PUNCT
iajs-3916	8	11	including	include	VERB
iajs-3916	8	12	cutting	cut	VERB
iajs-3916	8	13	-	-	PUNCT
iajs-3916	8	14	edge	edge	NOUN
iajs-3916	8	15	ones	one	NOUN
iajs-3916	8	16	that	that	PRON
iajs-3916	8	17	utilize	utilize	VERB
iajs-3916	8	18	advanced	advanced	ADJ
iajs-3916	8	19	deep	deep	ADJ
iajs-3916	8	20	learning	learning	NOUN
iajs-3916	8	21	methods	method	NOUN
iajs-3916	8	22	,	,	PUNCT
iajs-3916	8	23	to	to	PART
iajs-3916	8	24	tackle	tackle	VERB
iajs-3916	8	25	this	this	DET
iajs-3916	8	26	problem	problem	NOUN
iajs-3916	8	27	.	.	PUNCT
iajs-3916	9	1	this	this	DET
iajs-3916	9	2	study	study	NOUN
iajs-3916	9	3	introduces	introduce	VERB
iajs-3916	9	4	robust	robust	ADJ
iajs-3916	9	5	models	model	NOUN
iajs-3916	9	6	for	for	ADP
iajs-3916	9	7	predicting	predict	VERB
iajs-3916	9	8	a	a	DET
iajs-3916	9	9	user	user	NOUN
iajs-3916	9	10	's	's	PART
iajs-3916	9	11	future	future	ADJ
iajs-3916	9	12	location	location	NOUN
iajs-3916	9	13	based	base	VERB
iajs-3916	9	14	on	on	ADP
iajs-3916	9	15	their	their	PRON
iajs-3916	9	16	previous	previous	ADJ
iajs-3916	9	17	location	location	NOUN
iajs-3916	9	18	.	.	PUNCT
iajs-3916	10	1	it	it	PRON
iajs-3916	10	2	proposes	propose	VERB
iajs-3916	10	3	a	a	DET
iajs-3916	10	4	recurrent	recurrent	ADJ
iajs-3916	10	5	neural	neural	ADJ
iajs-3916	10	6	networks	network	NOUN
iajs-3916	10	7	(	(	PUNCT
iajs-3916	10	8	rnns	rnns	NOUN
iajs-3916	10	9	)	)	PUNCT
iajs-3916	10	10	prediction	prediction	NOUN
iajs-3916	10	11	scheme	scheme	NOUN
iajs-3916	10	12	and	and	CCONJ
iajs-3916	10	13	a	a	DET
iajs-3916	10	14	gated	gate	VERB
iajs-3916	10	15	recurrent	recurrent	ADJ
iajs-3916	10	16	unit	unit	NOUN
iajs-3916	10	17	(	(	PUNCT
iajs-3916	10	18	gru	gru	PROPN
iajs-3916	10	19	)	)	PUNCT
iajs-3916	10	20	,	,	PUNCT
iajs-3916	10	21	which	which	PRON
iajs-3916	10	22	are	be	AUX
iajs-3916	10	23	well	well	ADV
iajs-3916	10	24	-	-	PUNCT
iajs-3916	10	25	suited	suit	VERB
iajs-3916	10	26	for	for	ADP
iajs-3916	10	27	learning	learn	VERB
iajs-3916	10	28	from	from	ADP
iajs-3916	10	29	sequential	sequential	ADJ
iajs-3916	10	30	data	datum	NOUN
iajs-3916	10	31	.	.	PUNCT
iajs-3916	11	1	additionally	additionally	ADV
iajs-3916	11	2	,	,	PUNCT
iajs-3916	11	3	the	the	DET
iajs-3916	11	4	clustering	clustering	ADJ
iajs-3916	11	5	technique	technique	NOUN
iajs-3916	11	6	density	density	NOUN
iajs-3916	11	7	-	-	PUNCT
iajs-3916	11	8	based	base	VERB
iajs-3916	11	9	clustering	clustering	NOUN
iajs-3916	11	10	(	(	PUNCT
iajs-3916	11	11	dbscan	dbscan	NOUN
iajs-3916	11	12	)	)	PUNCT
iajs-3916	11	13	is	be	AUX
iajs-3916	11	14	implemented	implement	VERB
iajs-3916	11	15	to	to	PART
iajs-3916	11	16	extract	extract	VERB
iajs-3916	11	17	the	the	DET
iajs-3916	11	18	stay	stay	NOUN
iajs-3916	11	19	points	point	NOUN
iajs-3916	11	20	.	.	PUNCT
iajs-3916	12	1	furthermore	furthermore	ADV
iajs-3916	12	2	,	,	PUNCT
iajs-3916	12	3	the	the	DET
iajs-3916	12	4	suggested	suggest	VERB
iajs-3916	12	5	method	method	NOUN
iajs-3916	12	6	is	be	AUX
iajs-3916	12	7	more	more	ADV
iajs-3916	12	8	accurate	accurate	ADJ
iajs-3916	12	9	at	at	ADP
iajs-3916	12	10	predicting	predict	VERB
iajs-3916	12	11	the	the	DET
iajs-3916	12	12	future	future	NOUN
iajs-3916	12	13	than	than	ADP
iajs-3916	12	14	the	the	DET
iajs-3916	12	15	current	current	ADJ
iajs-3916	12	16	method	method	NOUN
iajs-3916	12	17	,	,	PUNCT
iajs-3916	12	18	showing	show	VERB
iajs-3916	12	19	improvements	improvement	NOUN
iajs-3916	12	20	in	in	ADP
iajs-3916	12	21	loss	loss	NOUN
iajs-3916	12	22	mean	mean	NOUN
iajs-3916	12	23	square	square	ADJ
iajs-3916	12	24	error	error	NOUN
iajs-3916	12	25	of	of	ADP
iajs-3916	12	26	up	up	ADP
iajs-3916	12	27	to	to	ADP
iajs-3916	12	28	0.0005	0.0005	NUM
iajs-3916	12	29	in	in	ADP
iajs-3916	12	30	the	the	DET
iajs-3916	12	31	rnn	rnn	NOUN
iajs-3916	12	32	model	model	NOUN
iajs-3916	12	33	and	and	CCONJ
iajs-3916	12	34	0.01	0.01	NUM
iajs-3916	12	35	in	in	ADP
iajs-3916	12	36	the	the	DET
iajs-3916	12	37	gur	gur	PROPN
iajs-3916	12	38	model	model	NOUN
iajs-3916	12	39	.	.	PUNCT
iajs-3916	13	1	so	so	ADV
iajs-3916	13	2	,	,	PUNCT
iajs-3916	13	3	the	the	DET
iajs-3916	13	4	models	model	NOUN
iajs-3916	13	5	that	that	PRON
iajs-3916	13	6	were	be	AUX
iajs-3916	13	7	used	use	VERB
iajs-3916	13	8	led	lead	VERB
iajs-3916	13	9	to	to	ADP
iajs-3916	13	10	a	a	DET
iajs-3916	13	11	decrease	decrease	NOUN
iajs-3916	13	12	in	in	ADP
iajs-3916	13	13	loss	loss	NOUN
iajs-3916	13	14	mse	mse	NOUN
iajs-3916	13	15	,	,	PUNCT
iajs-3916	13	16	which	which	PRON
iajs-3916	13	17	was	be	AUX
iajs-3916	13	18	shown	show	VERB
iajs-3916	13	19	in	in	ADP
iajs-3916	13	20	the	the	DET
iajs-3916	13	21	real	real	ADJ
iajs-3916	13	22	-	-	PUNCT
iajs-3916	13	23	world	world	NOUN
iajs-3916	13	24	dataset	dataset	NOUN
iajs-3916	13	25	(	(	PUNCT
iajs-3916	13	26	geolife	geolife	NOUN
iajs-3916	13	27	)	)	PUNCT
iajs-3916	13	28	in	in	ADP
iajs-3916	13	29	this	this	DET
iajs-3916	13	30	paper	paper	NOUN
iajs-3916	13	31	.	.	PUNCT
iajs-3916	14	1	the	the	DET
iajs-3916	14	2	results	result	NOUN
iajs-3916	14	3	are	be	AUX
iajs-3916	14	4	also	also	ADV
iajs-3916	14	5	consistent	consistent	ADJ
iajs-3916	14	6	with	with	ADP
iajs-3916	14	7	other	other	ADJ
iajs-3916	14	8	similar	similar	ADJ
iajs-3916	14	9	works	work	NOUN
iajs-3916	14	10	that	that	PRON
iajs-3916	14	11	look	look	VERB
iajs-3916	14	12	at	at	ADP
iajs-3916	14	13	the	the	DET
iajs-3916	14	14	same	same	ADJ
iajs-3916	14	15	issue	issue	NOUN
iajs-3916	14	16	,	,	PUNCT
iajs-3916	14	17	showing	show	VERB
iajs-3916	14	18	how	how	SCONJ
iajs-3916	14	19	well	well	ADV
iajs-3916	14	20	the	the	DET
iajs-3916	14	21	models	model	NOUN
iajs-3916	14	22	can	can	AUX
iajs-3916	14	23	predict	predict	VERB
iajs-3916	14	24	mobility	mobility	NOUN
iajs-3916	14	25	.	.	PUNCT
iajs-3916	15	1	keywords	keyword	NOUN
iajs-3916	15	2	:	:	PUNCT
iajs-3916	15	3	recurrent	recurrent	ADJ
iajs-3916	15	4	neural	neural	ADJ
iajs-3916	15	5	networks	network	NOUN
iajs-3916	15	6	(	(	PUNCT
iajs-3916	15	7	rnns	rnns	PROPN
iajs-3916	15	8	)	)	PUNCT
iajs-3916	15	9	,	,	PUNCT
iajs-3916	15	10	gated	gate	VERB
iajs-3916	15	11	recurrent	recurrent	ADJ
iajs-3916	15	12	unit	unit	NOUN
iajs-3916	15	13	(	(	PUNCT
iajs-3916	15	14	gru	gru	PROPN
iajs-3916	15	15	)	)	PUNCT
iajs-3916	15	16	,	,	PUNCT
iajs-3916	15	17	density	density	NOUN
iajs-3916	15	18	-	-	PUNCT
iajs-3916	15	19	based	base	VERB
iajs-3916	15	20	clustering	clustering	NOUN
iajs-3916	15	21	(	(	PUNCT
iajs-3916	15	22	dbscan	dbscan	NOUN
iajs-3916	15	23	)	)	PUNCT
iajs-3916	15	24	,	,	PUNCT
iajs-3916	15	25	next	next	ADJ
iajs-3916	15	26	location	location	NOUN
iajs-3916	15	27	path	path	NOUN
iajs-3916	15	28	,	,	PUNCT
iajs-3916	15	29	deep	deep	ADJ
iajs-3916	15	30	learning	learning	NOUN
iajs-3916	15	31	.	.	PUNCT
iajs-3916	16	1	introduction	introduction	NOUN
iajs-3916	16	2	user	user	NOUN
iajs-3916	16	3	mobility	mobility	NOUN
iajs-3916	16	4	pertains	pertain	VERB
iajs-3916	16	5	to	to	ADP
iajs-3916	16	6	the	the	DET
iajs-3916	16	7	relocation	relocation	NOUN
iajs-3916	16	8	of	of	ADP
iajs-3916	16	9	individual	individual	ADJ
iajs-3916	16	10	users	user	NOUN
iajs-3916	16	11	from	from	ADP
iajs-3916	16	12	one	one	NUM
iajs-3916	16	13	location	location	NOUN
iajs-3916	16	14	to	to	ADP
iajs-3916	16	15	another	another	PRON
iajs-3916	16	16	,	,	PUNCT
iajs-3916	16	17	usually	usually	ADV
iajs-3916	16	18	within	within	ADP
iajs-3916	16	19	a	a	DET
iajs-3916	16	20	defined	define	VERB
iajs-3916	16	21	geographical	geographical	ADJ
iajs-3916	16	22	scope	scope	NOUN
iajs-3916	16	23	such	such	ADJ
iajs-3916	16	24	as	as	ADP
iajs-3916	16	25	a	a	DET
iajs-3916	16	26	city	city	NOUN
iajs-3916	16	27	,	,	PUNCT
iajs-3916	16	28	region	region	NOUN
iajs-3916	16	29	,	,	PUNCT
iajs-3916	16	30	or	or	CCONJ
iajs-3916	16	31	nation	nation	NOUN
iajs-3916	16	32	.	.	PUNCT
iajs-3916	17	1	the	the	DET
iajs-3916	17	2	prediction	prediction	NOUN
iajs-3916	17	3	of	of	ADP
iajs-3916	17	4	user	user	NOUN
iajs-3916	17	5	movement	movement	NOUN
iajs-3916	17	6	has	have	AUX
iajs-3916	17	7	yielded	yield	VERB
iajs-3916	17	8	instant	instant	ADJ
iajs-3916	17	9	advantages	advantage	NOUN
iajs-3916	17	10	in	in	ADP
iajs-3916	17	11	several	several	ADJ
iajs-3916	17	12	subsequent	subsequent	ADJ
iajs-3916	17	13	tasks	task	NOUN
iajs-3916	17	14	,	,	PUNCT
iajs-3916	17	15	including	include	VERB
iajs-3916	17	16	recommendations	recommendation	NOUN
iajs-3916	17	17	for	for	ADP
iajs-3916	17	18	sites	site	NOUN
iajs-3916	17	19	of	of	ADP
iajs-3916	17	20	interest	interest	NOUN
iajs-3916	17	21	,	,	PUNCT
iajs-3916	17	22	forecasting	forecast	VERB
iajs-3916	17	23	communication	communication	NOUN
iajs-3916	17	24	network	network	NOUN
iajs-3916	17	25	traffic	traffic	NOUN
iajs-3916	17	26	,	,	PUNCT
iajs-3916	17	27	optimizing	optimize	VERB
iajs-3916	17	28	road	road	NOUN
iajs-3916	17	29	traffic	traffic	NOUN
iajs-3916	17	30	,	,	PUNCT
iajs-3916	17	31	and	and	CCONJ
iajs-3916	17	32	more	more	ADJ
iajs-3916	17	33	[	[	X
iajs-3916	17	34	1	1	NUM
iajs-3916	17	35	,	,	PUNCT
iajs-3916	17	36	2	2	NUM
iajs-3916	17	37	]	]	PUNCT
iajs-3916	17	38	.	.	PUNCT
iajs-3916	18	1	indeed	indeed	ADV
iajs-3916	18	2	,	,	PUNCT
iajs-3916	18	3	our	our	PRON
iajs-3916	18	4	current	current	ADJ
iajs-3916	18	5	existence	existence	NOUN
iajs-3916	18	6	is	be	AUX
iajs-3916	18	7	characterized	characterize	VERB
iajs-3916	18	8	by	by	ADP
iajs-3916	18	9	a	a	DET
iajs-3916	18	10	sophisticated	sophisticated	ADJ
iajs-3916	18	11	technological	technological	ADJ
iajs-3916	18	12	landscape	landscape	NOUN
iajs-3916	18	13	that	that	PRON
iajs-3916	18	14	includes	include	VERB
iajs-3916	18	15	state	state	NOUN
iajs-3916	18	16	-	-	PUNCT
iajs-3916	18	17	of	of	ADP
iajs-3916	18	18	-	-	PUNCT
iajs-3916	18	19	the	the	DET
iajs-3916	18	20	-	-	PUNCT
iajs-3916	18	21	art	art	NOUN
iajs-3916	18	22	systems	system	NOUN
iajs-3916	18	23	and	and	CCONJ
iajs-3916	18	24	equipment	equipment	NOUN
iajs-3916	18	25	such	such	ADJ
iajs-3916	18	26	as	as	ADP
iajs-3916	18	27	cellphones	cellphone	NOUN
iajs-3916	18	28	,	,	PUNCT
iajs-3916	18	29	computers	computer	NOUN
iajs-3916	18	30	,	,	PUNCT
iajs-3916	18	31	smartwatches	smartwatche	NOUN
iajs-3916	18	32	,	,	PUNCT
iajs-3916	18	33	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
iajs-3916	18	34	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
iajs-3916	18	35	https://orcid.org/0009-0007-5803-9273	https://orcid.org/0009-0007-5803-9273	PROPN
iajs-3916	18	36	mailto:naba.kareem2201m@sc.uobaghdad.edu.iq	mailto:naba.kareem2201m@sc.uobaghdad.edu.iq	PROPN
iajs-3916	18	37	https://orcid.org/0000-0003-4617-8464	https://orcid.org/0000-0003-4617-8464	PROPN
iajs-3916	18	38	mailto:suhad.f@sc.uobaghdad.edu.iq	mailto:suhad.f@sc.uobaghdad.edu.iq	NOUN
iajs-3916	18	39	ihjpas	ihjpa	NOUN
iajs-3916	18	40	.	.	PUNCT
iajs-3916	19	1	2024	2024	NUM
iajs-3916	19	2	,	,	PUNCT
iajs-3916	19	3	37(4	37(4	NOUN
iajs-3916	19	4	)	)	PUNCT
iajs-3916	19	5	424	424	NUM
iajs-3916	19	6	and	and	CCONJ
iajs-3916	19	7	other	other	ADJ
iajs-3916	19	8	such	such	ADJ
iajs-3916	19	9	devices	device	NOUN
iajs-3916	19	10	.	.	PUNCT
iajs-3916	20	1	individuals	individual	NOUN
iajs-3916	20	2	are	be	AUX
iajs-3916	20	3	unable	unable	ADJ
iajs-3916	20	4	to	to	PART
iajs-3916	20	5	conceive	conceive	VERB
iajs-3916	20	6	of	of	ADP
iajs-3916	20	7	their	their	PRON
iajs-3916	20	8	existence	existence	NOUN
iajs-3916	20	9	without	without	ADP
iajs-3916	20	10	a	a	DET
iajs-3916	20	11	smartphone	smartphone	NOUN
iajs-3916	20	12	or	or	CCONJ
iajs-3916	20	13	personal	personal	ADJ
iajs-3916	20	14	computer	computer	NOUN
iajs-3916	21	1	[	[	X
iajs-3916	21	2	3	3	NUM
iajs-3916	21	3	]	]	PUNCT
iajs-3916	21	4	.	.	PUNCT
iajs-3916	22	1	technological	technological	ADJ
iajs-3916	22	2	advancements	advancement	NOUN
iajs-3916	22	3	have	have	AUX
iajs-3916	22	4	yielded	yield	VERB
iajs-3916	22	5	extensive	extensive	ADJ
iajs-3916	22	6	trajectory	trajectory	NOUN
iajs-3916	22	7	data	datum	NOUN
iajs-3916	22	8	for	for	ADP
iajs-3916	22	9	studies	study	NOUN
iajs-3916	22	10	and	and	CCONJ
iajs-3916	22	11	applications	application	NOUN
iajs-3916	22	12	related	relate	VERB
iajs-3916	22	13	to	to	ADP
iajs-3916	22	14	individual	individual	ADJ
iajs-3916	22	15	mobility	mobility	NOUN
iajs-3916	22	16	[	[	X
iajs-3916	22	17	4	4	NUM
iajs-3916	22	18	]	]	PUNCT
iajs-3916	22	19	.	.	PUNCT
iajs-3916	23	1	furthermore	furthermore	ADV
iajs-3916	23	2	,	,	PUNCT
iajs-3916	23	3	examining	examine	VERB
iajs-3916	23	4	the	the	DET
iajs-3916	23	5	movement	movement	NOUN
iajs-3916	23	6	of	of	ADP
iajs-3916	23	7	individuals	individual	NOUN
iajs-3916	23	8	is	be	AUX
iajs-3916	23	9	essential	essential	ADJ
iajs-3916	23	10	for	for	ADP
iajs-3916	23	11	addressing	address	VERB
iajs-3916	23	12	other	other	ADJ
iajs-3916	23	13	significant	significant	ADJ
iajs-3916	23	14	societal	societal	ADJ
iajs-3916	23	15	issues	issue	NOUN
iajs-3916	23	16	,	,	PUNCT
iajs-3916	23	17	such	such	ADJ
iajs-3916	23	18	as	as	ADP
iajs-3916	23	19	urbanization	urbanization	NOUN
iajs-3916	23	20	,	,	PUNCT
iajs-3916	23	21	segregation	segregation	NOUN
iajs-3916	23	22	,	,	PUNCT
iajs-3916	23	23	and	and	CCONJ
iajs-3916	23	24	the	the	DET
iajs-3916	23	25	proliferation	proliferation	NOUN
iajs-3916	23	26	of	of	ADP
iajs-3916	23	27	epidemics	epidemic	NOUN
iajs-3916	23	28	,	,	PUNCT
iajs-3916	23	29	among	among	ADP
iajs-3916	23	30	others	other	NOUN
iajs-3916	23	31	[	[	X
iajs-3916	23	32	5	5	NUM
iajs-3916	23	33	,	,	PUNCT
iajs-3916	23	34	6	6	NUM
iajs-3916	23	35	]	]	PUNCT
iajs-3916	23	36	.	.	PUNCT
iajs-3916	24	1	next	next	ADJ
iajs-3916	24	2	-	-	PUNCT
iajs-3916	24	3	location	location	NOUN
iajs-3916	24	4	prediction	prediction	NOUN
iajs-3916	24	5	is	be	AUX
iajs-3916	24	6	the	the	DET
iajs-3916	24	7	process	process	NOUN
iajs-3916	24	8	of	of	ADP
iajs-3916	24	9	predicting	predict	VERB
iajs-3916	24	10	the	the	DET
iajs-3916	24	11	specific	specific	ADJ
iajs-3916	24	12	location	location	NOUN
iajs-3916	24	13	that	that	PRON
iajs-3916	24	14	an	an	DET
iajs-3916	24	15	individual	individual	NOUN
iajs-3916	24	16	will	will	AUX
iajs-3916	24	17	visit	visit	VERB
iajs-3916	24	18	based	base	VERB
iajs-3916	24	19	on	on	ADP
iajs-3916	24	20	their	their	PRON
iajs-3916	24	21	previous	previous	ADJ
iajs-3916	24	22	movement	movement	NOUN
iajs-3916	24	23	pattern	pattern	NOUN
iajs-3916	24	24	[	[	X
iajs-3916	24	25	7	7	NUM
iajs-3916	24	26	,	,	PUNCT
iajs-3916	24	27	8	8	NUM
iajs-3916	24	28	]	]	PUNCT
iajs-3916	24	29	.	.	PUNCT
iajs-3916	25	1	the	the	DET
iajs-3916	25	2	scope	scope	NOUN
iajs-3916	25	3	of	of	ADP
iajs-3916	25	4	user	user	NOUN
iajs-3916	25	5	mobility	mobility	NOUN
iajs-3916	25	6	research	research	NOUN
iajs-3916	25	7	is	be	AUX
iajs-3916	25	8	largely	largely	ADV
iajs-3916	25	9	unexplored	unexplored	ADJ
iajs-3916	25	10	,	,	PUNCT
iajs-3916	25	11	and	and	CCONJ
iajs-3916	25	12	accurately	accurately	ADV
iajs-3916	25	13	predicting	predict	VERB
iajs-3916	25	14	individual	individual	ADJ
iajs-3916	25	15	user	user	NOUN
iajs-3916	25	16	movement	movement	NOUN
iajs-3916	25	17	is	be	AUX
iajs-3916	25	18	a	a	DET
iajs-3916	25	19	complex	complex	ADJ
iajs-3916	25	20	and	and	CCONJ
iajs-3916	25	21	diverse	diverse	ADJ
iajs-3916	25	22	undertaking	undertaking	NOUN
iajs-3916	25	23	.	.	PUNCT
iajs-3916	26	1	existing	exist	VERB
iajs-3916	26	2	algorithms	algorithm	NOUN
iajs-3916	26	3	for	for	ADP
iajs-3916	26	4	predicting	predict	VERB
iajs-3916	26	5	individual	individual	ADJ
iajs-3916	26	6	mobility	mobility	NOUN
iajs-3916	26	7	often	often	ADV
iajs-3916	26	8	lag	lag	VERB
iajs-3916	26	9	behind	behind	ADV
iajs-3916	26	10	in	in	ADP
iajs-3916	26	11	terms	term	NOUN
iajs-3916	26	12	of	of	ADP
iajs-3916	26	13	accuracy	accuracy	NOUN
iajs-3916	26	14	,	,	PUNCT
iajs-3916	26	15	typically	typically	ADV
iajs-3916	26	16	obtaining	obtain	VERB
iajs-3916	26	17	only	only	ADV
iajs-3916	26	18	approximately	approximately	ADV
iajs-3916	26	19	93	93	NUM
iajs-3916	26	20	%	%	NOUN
iajs-3916	26	21	.	.	PUNCT
iajs-3916	27	1	consequently	consequently	ADV
iajs-3916	27	2	,	,	PUNCT
iajs-3916	27	3	in	in	ADP
iajs-3916	27	4	order	order	NOUN
iajs-3916	27	5	to	to	PART
iajs-3916	27	6	fill	fill	VERB
iajs-3916	27	7	this	this	DET
iajs-3916	27	8	gap	gap	NOUN
iajs-3916	27	9	,	,	PUNCT
iajs-3916	27	10	it	it	PRON
iajs-3916	27	11	is	be	AUX
iajs-3916	27	12	necessary	necessary	ADJ
iajs-3916	27	13	to	to	PART
iajs-3916	27	14	provide	provide	VERB
iajs-3916	27	15	a	a	DET
iajs-3916	27	16	theoretical	theoretical	ADJ
iajs-3916	27	17	foundation	foundation	NOUN
iajs-3916	27	18	for	for	ADP
iajs-3916	27	19	predicting	predict	VERB
iajs-3916	27	20	user	user	NOUN
iajs-3916	27	21	mobility	mobility	NOUN
iajs-3916	28	1	[	[	X
iajs-3916	28	2	9	9	NUM
iajs-3916	28	3	]	]	PUNCT
iajs-3916	28	4	,	,	PUNCT
iajs-3916	28	5	such	such	ADJ
iajs-3916	28	6	as	as	ADP
iajs-3916	28	7	artificial	artificial	ADJ
iajs-3916	28	8	neural	neural	ADJ
iajs-3916	28	9	networks	network	NOUN
iajs-3916	28	10	(	(	PUNCT
iajs-3916	28	11	ann	ann	PROPN
iajs-3916	28	12	)	)	PUNCT
iajs-3916	29	1	[	[	X
iajs-3916	29	2	10	10	NUM
iajs-3916	29	3	]	]	PUNCT
iajs-3916	29	4	.	.	PUNCT
iajs-3916	30	1	despite	despite	SCONJ
iajs-3916	30	2	its	its	PRON
iajs-3916	30	3	crucial	crucial	ADJ
iajs-3916	30	4	importance	importance	NOUN
iajs-3916	30	5	,	,	PUNCT
iajs-3916	30	6	location	location	NOUN
iajs-3916	30	7	prediction	prediction	NOUN
iajs-3916	30	8	remains	remain	VERB
iajs-3916	30	9	an	an	DET
iajs-3916	30	10	unresolved	unresolved	ADJ
iajs-3916	30	11	daunting	daunting	ADJ
iajs-3916	30	12	task	task	NOUN
iajs-3916	30	13	.	.	PUNCT
iajs-3916	31	1	statistical	statistical	ADJ
iajs-3916	31	2	distributions	distribution	NOUN
iajs-3916	31	3	can	can	AUX
iajs-3916	31	4	describe	describe	VERB
iajs-3916	31	5	the	the	DET
iajs-3916	31	6	strong	strong	ADJ
iajs-3916	31	7	and	and	CCONJ
iajs-3916	31	8	predictable	predictable	ADJ
iajs-3916	31	9	pattern	pattern	NOUN
iajs-3916	31	10	that	that	SCONJ
iajs-3916	31	11	individual	individual	ADJ
iajs-3916	31	12	actions	action	NOUN
iajs-3916	31	13	within	within	ADP
iajs-3916	31	14	a	a	DET
iajs-3916	31	15	group	group	NOUN
iajs-3916	31	16	exhibit	exhibit	NOUN
iajs-3916	31	17	.	.	PUNCT
iajs-3916	32	1	however	however	ADV
iajs-3916	32	2	,	,	PUNCT
iajs-3916	32	3	at	at	ADP
iajs-3916	32	4	the	the	DET
iajs-3916	32	5	user	user	NOUN
iajs-3916	32	6	level	level	NOUN
iajs-3916	32	7	,	,	PUNCT
iajs-3916	32	8	mobility	mobility	NOUN
iajs-3916	32	9	encompasses	encompass	VERB
iajs-3916	32	10	several	several	ADJ
iajs-3916	32	11	unplanned	unplanned	ADJ
iajs-3916	32	12	decisions	decision	NOUN
iajs-3916	32	13	and	and	CCONJ
iajs-3916	32	14	shows	show	VERB
iajs-3916	32	15	complicated	complicated	ADJ
iajs-3916	32	16	features	feature	NOUN
iajs-3916	32	17	that	that	PRON
iajs-3916	32	18	impact	impact	VERB
iajs-3916	32	19	the	the	DET
iajs-3916	32	20	accuracy	accuracy	NOUN
iajs-3916	32	21	of	of	ADP
iajs-3916	32	22	forecasts	forecast	NOUN
iajs-3916	32	23	[	[	X
iajs-3916	32	24	11	11	NUM
iajs-3916	32	25	]	]	PUNCT
iajs-3916	32	26	.	.	PUNCT
iajs-3916	33	1	various	various	ADJ
iajs-3916	33	2	domains	domain	NOUN
iajs-3916	33	3	,	,	PUNCT
iajs-3916	33	4	including	include	VERB
iajs-3916	33	5	the	the	DET
iajs-3916	33	6	following	following	NOUN
iajs-3916	33	7	,	,	PUNCT
iajs-3916	33	8	consider	consider	VERB
iajs-3916	33	9	predicting	predict	VERB
iajs-3916	33	10	future	future	ADJ
iajs-3916	33	11	locations	location	NOUN
iajs-3916	33	12	or	or	CCONJ
iajs-3916	33	13	the	the	DET
iajs-3916	33	14	next	next	ADJ
iajs-3916	33	15	location	location	NOUN
iajs-3916	33	16	as	as	ADP
iajs-3916	33	17	a	a	DET
iajs-3916	33	18	viable	viable	ADJ
iajs-3916	33	19	method	method	NOUN
iajs-3916	33	20	to	to	PART
iajs-3916	33	21	deliver	deliver	VERB
iajs-3916	33	22	such	such	DET
iajs-3916	33	23	a	a	DET
iajs-3916	33	24	service	service	NOUN
iajs-3916	33	25	.	.	PUNCT
iajs-3916	34	1			X
iajs-3916	35	1	it	it	PRON
iajs-3916	35	2	is	be	AUX
iajs-3916	35	3	crucial	crucial	ADJ
iajs-3916	35	4	in	in	ADP
iajs-3916	35	5	several	several	ADJ
iajs-3916	35	6	applications	application	NOUN
iajs-3916	35	7	,	,	PUNCT
iajs-3916	35	8	such	such	ADJ
iajs-3916	35	9	as	as	ADP
iajs-3916	35	10	providing	provide	VERB
iajs-3916	35	11	travel	travel	NOUN
iajs-3916	35	12	recommendations	recommendation	NOUN
iajs-3916	35	13	and	and	CCONJ
iajs-3916	35	14	optimizing	optimize	VERB
iajs-3916	35	15	routes	route	NOUN
iajs-3916	35	16	,	,	PUNCT
iajs-3916	35	17	detecting	detect	VERB
iajs-3916	35	18	potential	potential	ADJ
iajs-3916	35	19	public	public	ADJ
iajs-3916	35	20	emergencies	emergency	NOUN
iajs-3916	35	21	at	at	ADP
iajs-3916	35	22	an	an	DET
iajs-3916	35	23	early	early	ADJ
iajs-3916	35	24	stage	stage	NOUN
iajs-3916	35	25	,	,	PUNCT
iajs-3916	35	26	estimating	estimate	VERB
iajs-3916	35	27	urban	urban	ADJ
iajs-3916	35	28	emissions	emission	NOUN
iajs-3916	35	29	,	,	PUNCT
iajs-3916	35	30	delivering	deliver	VERB
iajs-3916	35	31	location	location	NOUN
iajs-3916	35	32	-	-	PUNCT
iajs-3916	35	33	based	base	VERB
iajs-3916	35	34	adverts	advert	NOUN
iajs-3916	35	35	and	and	CCONJ
iajs-3916	35	36	geo	geo	PROPN
iajs-3916	35	37	-	-	PUNCT
iajs-3916	35	38	marketing	marketing	NOUN
iajs-3916	35	39	,	,	PUNCT
iajs-3916	35	40	and	and	CCONJ
iajs-3916	35	41	suggesting	suggest	VERB
iajs-3916	35	42	friends	friend	NOUN
iajs-3916	35	43	on	on	ADP
iajs-3916	35	44	social	social	ADJ
iajs-3916	35	45	network	network	NOUN
iajs-3916	35	46	platforms	platform	NOUN
iajs-3916	35	47	[	[	X
iajs-3916	35	48	11	11	NUM
iajs-3916	35	49	]	]	PUNCT
iajs-3916	35	50	.	.	PUNCT
iajs-3916	36	1			X
iajs-3916	37	1	the	the	DET
iajs-3916	37	2	prediction	prediction	NOUN
iajs-3916	37	3	of	of	ADP
iajs-3916	37	4	the	the	DET
iajs-3916	37	5	next	next	ADJ
iajs-3916	37	6	location	location	NOUN
iajs-3916	37	7	of	of	ADP
iajs-3916	37	8	a	a	DET
iajs-3916	37	9	mobile	mobile	ADJ
iajs-3916	37	10	user	user	NOUN
iajs-3916	37	11	based	base	VERB
iajs-3916	37	12	on	on	ADP
iajs-3916	37	13	their	their	PRON
iajs-3916	37	14	trajectory	trajectory	NOUN
iajs-3916	37	15	information	information	NOUN
iajs-3916	37	16	is	be	AUX
iajs-3916	37	17	a	a	DET
iajs-3916	37	18	vital	vital	ADJ
iajs-3916	37	19	feature	feature	NOUN
iajs-3916	37	20	in	in	ADP
iajs-3916	37	21	the	the	DET
iajs-3916	37	22	creation	creation	NOUN
iajs-3916	37	23	of	of	ADP
iajs-3916	37	24	smart	smart	ADJ
iajs-3916	37	25	applications	application	NOUN
iajs-3916	37	26	that	that	PRON
iajs-3916	37	27	may	may	AUX
iajs-3916	37	28	aid	aid	VERB
iajs-3916	37	29	users	user	NOUN
iajs-3916	37	30	without	without	ADP
iajs-3916	37	31	the	the	DET
iajs-3916	37	32	need	need	NOUN
iajs-3916	37	33	for	for	ADP
iajs-3916	37	34	manual	manual	ADJ
iajs-3916	37	35	input	input	NOUN
iajs-3916	37	36	[	[	X
iajs-3916	37	37	12	12	NUM
iajs-3916	37	38	]	]	PUNCT
iajs-3916	37	39	.	.	PUNCT
iajs-3916	38	1			X
iajs-3916	39	1	the	the	DET
iajs-3916	39	2	estimation	estimation	NOUN
iajs-3916	39	3	and	and	CCONJ
iajs-3916	39	4	prediction	prediction	NOUN
iajs-3916	39	5	of	of	ADP
iajs-3916	39	6	user	user	NOUN
iajs-3916	39	7	mobility	mobility	NOUN
iajs-3916	39	8	in	in	ADP
iajs-3916	39	9	an	an	DET
iajs-3916	39	10	ad	ad	NOUN
iajs-3916	39	11	hoc	hoc	X
iajs-3916	39	12	wireless	wireless	NOUN
iajs-3916	39	13	network	network	NOUN
iajs-3916	39	14	will	will	AUX
iajs-3916	39	15	have	have	VERB
iajs-3916	39	16	an	an	DET
iajs-3916	39	17	advantageous	advantageous	ADJ
iajs-3916	39	18	effect	effect	NOUN
iajs-3916	39	19	on	on	ADP
iajs-3916	39	20	ensuring	ensure	VERB
iajs-3916	39	21	the	the	DET
iajs-3916	39	22	quality	quality	NOUN
iajs-3916	39	23	of	of	ADP
iajs-3916	39	24	service	service	NOUN
iajs-3916	39	25	(	(	PUNCT
iajs-3916	39	26	qos	qos	PROPN
iajs-3916	39	27	)	)	PUNCT
iajs-3916	39	28	and	and	CCONJ
iajs-3916	39	29	quality	quality	NOUN
iajs-3916	39	30	of	of	ADP
iajs-3916	39	31	experience	experience	NOUN
iajs-3916	39	32	(	(	PUNCT
iajs-3916	39	33	qoe	qoe	NOUN
iajs-3916	39	34	)	)	PUNCT
iajs-3916	39	35	inside	inside	ADP
iajs-3916	39	36	the	the	DET
iajs-3916	39	37	network	network	NOUN
iajs-3916	39	38	[	[	X
iajs-3916	39	39	13	13	NUM
iajs-3916	39	40	]	]	PUNCT
iajs-3916	39	41	.	.	PUNCT
iajs-3916	40	1			PUNCT
iajs-3916	41	1	the	the	DET
iajs-3916	41	2	next	next	ADJ
iajs-3916	41	3	5	5	NUM
iajs-3916	41	4	g	g	NOUN
iajs-3916	41	5	and	and	CCONJ
iajs-3916	41	6	b5	b5	PROPN
iajs-3916	41	7	g	g	PROPN
iajs-3916	41	8	mobile	mobile	ADJ
iajs-3916	41	9	communication	communication	NOUN
iajs-3916	41	10	technologies	technology	NOUN
iajs-3916	41	11	are	be	AUX
iajs-3916	41	12	anticipated	anticipate	VERB
iajs-3916	41	13	to	to	PART
iajs-3916	41	14	provide	provide	VERB
iajs-3916	41	15	substantial	substantial	ADJ
iajs-3916	41	16	enhancements	enhancement	NOUN
iajs-3916	41	17	in	in	ADP
iajs-3916	41	18	terms	term	NOUN
iajs-3916	41	19	of	of	ADP
iajs-3916	41	20	decreased	decrease	VERB
iajs-3916	41	21	latency	latency	NOUN
iajs-3916	41	22	and	and	CCONJ
iajs-3916	41	23	delay	delay	NOUN
iajs-3916	41	24	[	[	X
iajs-3916	41	25	13	13	NUM
iajs-3916	41	26	]	]	PUNCT
iajs-3916	41	27	.	.	PUNCT
iajs-3916	42	1			X
iajs-3916	43	1	the	the	DET
iajs-3916	43	2	quality	quality	NOUN
iajs-3916	43	3	of	of	ADP
iajs-3916	43	4	telecommunications	telecommunications	NOUN
iajs-3916	43	5	services	service	NOUN
iajs-3916	43	6	has	have	VERB
iajs-3916	43	7	a	a	DET
iajs-3916	43	8	substantial	substantial	ADJ
iajs-3916	43	9	influence	influence	NOUN
iajs-3916	43	10	on	on	ADP
iajs-3916	43	11	the	the	DET
iajs-3916	43	12	mobility	mobility	NOUN
iajs-3916	43	13	of	of	ADP
iajs-3916	43	14	consumers	consumer	NOUN
iajs-3916	43	15	in	in	ADP
iajs-3916	43	16	their	their	PRON
iajs-3916	43	17	everyday	everyday	ADJ
iajs-3916	43	18	activities	activity	NOUN
iajs-3916	43	19	,	,	PUNCT
iajs-3916	43	20	particularly	particularly	ADV
iajs-3916	43	21	in	in	ADP
iajs-3916	43	22	vehicular	vehicular	ADJ
iajs-3916	43	23	ad	ad	X
iajs-3916	43	24	hoc	hoc	X
iajs-3916	43	25	networks	network	NOUN
iajs-3916	43	26	(	(	PUNCT
iajs-3916	43	27	vanets	vanet	NOUN
iajs-3916	43	28	)	)	PUNCT
iajs-3916	43	29	.	.	PUNCT
iajs-3916	44	1	this	this	PRON
iajs-3916	44	2	is	be	AUX
iajs-3916	44	3	crucial	crucial	ADJ
iajs-3916	44	4	for	for	ADP
iajs-3916	44	5	addressing	address	VERB
iajs-3916	44	6	issues	issue	NOUN
iajs-3916	44	7	such	such	ADJ
iajs-3916	44	8	as	as	ADP
iajs-3916	44	9	traffic	traffic	NOUN
iajs-3916	44	10	congestion	congestion	NOUN
iajs-3916	44	11	,	,	PUNCT
iajs-3916	44	12	handovers	handover	NOUN
iajs-3916	44	13	,	,	PUNCT
iajs-3916	44	14	and	and	CCONJ
iajs-3916	44	15	activity	activity	NOUN
iajs-3916	44	16	routing	routing	NOUN
iajs-3916	44	17	protocol	protocol	NOUN
iajs-3916	44	18	[	[	X
iajs-3916	44	19	2	2	NUM
iajs-3916	44	20	]	]	PUNCT
iajs-3916	44	21	.	.	PUNCT
iajs-3916	45	1			X
iajs-3916	45	2	in	in	ADP
iajs-3916	45	3	the	the	DET
iajs-3916	45	4	domain	domain	NOUN
iajs-3916	45	5	of	of	ADP
iajs-3916	45	6	urban	urban	ADJ
iajs-3916	45	7	science	science	NOUN
iajs-3916	45	8	,	,	PUNCT
iajs-3916	45	9	analyzing	analyze	VERB
iajs-3916	45	10	the	the	DET
iajs-3916	45	11	trajectory	trajectory	NOUN
iajs-3916	45	12	data	datum	NOUN
iajs-3916	45	13	of	of	ADP
iajs-3916	45	14	mobility	mobility	NOUN
iajs-3916	45	15	users	user	NOUN
iajs-3916	45	16	assists	assist	VERB
iajs-3916	45	17	researchers	researcher	NOUN
iajs-3916	45	18	in	in	ADP
iajs-3916	45	19	understanding	understand	VERB
iajs-3916	45	20	urban	urban	ADJ
iajs-3916	45	21	dynamics	dynamic	NOUN
iajs-3916	45	22	,	,	PUNCT
iajs-3916	45	23	identifying	identify	VERB
iajs-3916	45	24	regions	region	NOUN
iajs-3916	45	25	with	with	ADP
iajs-3916	45	26	high	high	ADJ
iajs-3916	45	27	levels	level	NOUN
iajs-3916	45	28	of	of	ADP
iajs-3916	45	29	activity	activity	NOUN
iajs-3916	45	30	,	,	PUNCT
iajs-3916	45	31	and	and	CCONJ
iajs-3916	45	32	improving	improve	VERB
iajs-3916	45	33	the	the	DET
iajs-3916	45	34	allocation	allocation	NOUN
iajs-3916	45	35	of	of	ADP
iajs-3916	45	36	resources	resource	NOUN
iajs-3916	45	37	and	and	CCONJ
iajs-3916	45	38	public	public	ADJ
iajs-3916	45	39	services	service	NOUN
iajs-3916	45	40	[	[	X
iajs-3916	45	41	14	14	NUM
iajs-3916	45	42	]	]	PUNCT
iajs-3916	45	43	.	.	PUNCT
iajs-3916	46	1	to	to	PART
iajs-3916	46	2	enhance	enhance	VERB
iajs-3916	46	3	accuracy	accuracy	NOUN
iajs-3916	46	4	and	and	CCONJ
iajs-3916	46	5	reliability	reliability	NOUN
iajs-3916	46	6	,	,	PUNCT
iajs-3916	46	7	it	it	PRON
iajs-3916	46	8	is	be	AUX
iajs-3916	46	9	necessary	necessary	ADJ
iajs-3916	46	10	to	to	PART
iajs-3916	46	11	employ	employ	VERB
iajs-3916	46	12	innovative	innovative	ADJ
iajs-3916	46	13	methods	method	NOUN
iajs-3916	46	14	to	to	PART
iajs-3916	46	15	predict	predict	VERB
iajs-3916	46	16	user	user	NOUN
iajs-3916	46	17	movement	movement	NOUN
iajs-3916	46	18	[	[	X
iajs-3916	46	19	15	15	NUM
iajs-3916	46	20	]	]	PUNCT
iajs-3916	46	21	.	.	PUNCT
iajs-3916	47	1	to	to	PART
iajs-3916	47	2	anticipate	anticipate	VERB
iajs-3916	47	3	the	the	DET
iajs-3916	47	4	future	future	ADJ
iajs-3916	47	5	trajectories	trajectory	NOUN
iajs-3916	47	6	of	of	ADP
iajs-3916	47	7	users	user	NOUN
iajs-3916	47	8	in	in	ADP
iajs-3916	47	9	word	word	NOUN
iajs-3916	47	10	prediction	prediction	NOUN
iajs-3916	47	11	,	,	PUNCT
iajs-3916	47	12	we	we	PRON
iajs-3916	47	13	rely	rely	VERB
iajs-3916	47	14	on	on	ADP
iajs-3916	47	15	their	their	PRON
iajs-3916	47	16	previous	previous	ADJ
iajs-3916	47	17	behavior	behavior	NOUN
iajs-3916	47	18	[	[	X
iajs-3916	47	19	16	16	NUM
iajs-3916	47	20	]	]	PUNCT
iajs-3916	47	21	.	.	PUNCT
iajs-3916	48	1	however	however	ADV
iajs-3916	48	2	,	,	PUNCT
iajs-3916	48	3	various	various	ADJ
iajs-3916	48	4	researchers	researcher	NOUN
iajs-3916	48	5	have	have	AUX
iajs-3916	48	6	demonstrated	demonstrate	VERB
iajs-3916	48	7	the	the	DET
iajs-3916	48	8	need	need	NOUN
iajs-3916	48	9	to	to	PART
iajs-3916	48	10	improve	improve	VERB
iajs-3916	48	11	the	the	DET
iajs-3916	48	12	current	current	ADJ
iajs-3916	48	13	prediction	prediction	NOUN
iajs-3916	48	14	models	model	NOUN
iajs-3916	48	15	to	to	PART
iajs-3916	48	16	provide	provide	VERB
iajs-3916	48	17	a	a	DET
iajs-3916	48	18	reliable	reliable	ADJ
iajs-3916	48	19	and	and	CCONJ
iajs-3916	48	20	comprehensive	comprehensive	ADJ
iajs-3916	48	21	forecast	forecast	NOUN
iajs-3916	48	22	for	for	ADP
iajs-3916	48	23	determining	determine	VERB
iajs-3916	48	24	future	future	ADJ
iajs-3916	48	25	locations	location	NOUN
iajs-3916	48	26	.	.	PUNCT
iajs-3916	49	1	we	we	PRON
iajs-3916	49	2	can	can	AUX
iajs-3916	49	3	highlight	highlight	VERB
iajs-3916	49	4	the	the	DET
iajs-3916	49	5	key	key	ADJ
iajs-3916	49	6	contributions	contribution	NOUN
iajs-3916	49	7	of	of	ADP
iajs-3916	49	8	this	this	DET
iajs-3916	49	9	research	research	NOUN
iajs-3916	49	10	as	as	SCONJ
iajs-3916	49	11	follows	follow	VERB
iajs-3916	49	12	:	:	PUNCT
iajs-3916	49	13	the	the	DET
iajs-3916	49	14	research	research	NOUN
iajs-3916	49	15	effectively	effectively	ADV
iajs-3916	49	16	creates	create	VERB
iajs-3916	49	17	two	two	NUM
iajs-3916	49	18	models	model	NOUN
iajs-3916	49	19	that	that	PRON
iajs-3916	49	20	forecast	forecast	VERB
iajs-3916	49	21	the	the	DET
iajs-3916	49	22	user	user	NOUN
iajs-3916	49	23	's	's	PART
iajs-3916	49	24	future	future	ADJ
iajs-3916	49	25	path	path	NOUN
iajs-3916	49	26	.	.	PUNCT
iajs-3916	50	1	the	the	DET
iajs-3916	50	2	suggested	suggest	VERB
iajs-3916	50	3	methods	method	NOUN
iajs-3916	50	4	give	give	VERB
iajs-3916	50	5	numerical	numerical	ADJ
iajs-3916	50	6	and	and	CCONJ
iajs-3916	50	7	visual	visual	ADJ
iajs-3916	50	8	results	result	NOUN
iajs-3916	50	9	that	that	PRON
iajs-3916	50	10	show	show	VERB
iajs-3916	50	11	how	how	SCONJ
iajs-3916	50	12	well	well	ADV
iajs-3916	50	13	they	they	PRON
iajs-3916	50	14	work	work	VERB
iajs-3916	50	15	for	for	ADP
iajs-3916	50	16	predicting	predict	VERB
iajs-3916	50	17	user	user	NOUN
iajs-3916	50	18	mobility	mobility	NOUN
iajs-3916	50	19	,	,	PUNCT
iajs-3916	50	20	finding	find	VERB
iajs-3916	50	21	stay	stay	NOUN
iajs-3916	50	22	-	-	PUNCT
iajs-3916	50	23	points	point	NOUN
iajs-3916	50	24	,	,	PUNCT
iajs-3916	50	25	and	and	CCONJ
iajs-3916	50	26	extracting	extract	VERB
iajs-3916	50	27	significant	significant	ADJ
iajs-3916	50	28	locations	location	NOUN
iajs-3916	50	29	using	use	VERB
iajs-3916	50	30	dbscan	dbscan	NOUN
iajs-3916	50	31	.	.	PUNCT
iajs-3916	51	1	ihjpas	ihjpas	PROPN
iajs-3916	51	2	.	.	PUNCT
iajs-3916	52	1	2024	2024	NUM
iajs-3916	52	2	,	,	PUNCT
iajs-3916	52	3	37(4	37(4	NOUN
iajs-3916	52	4	)	)	PUNCT
iajs-3916	52	5	425	425	NUM
iajs-3916	52	6	this	this	DET
iajs-3916	52	7	work	work	NOUN
iajs-3916	52	8	is	be	AUX
iajs-3916	52	9	organized	organize	VERB
iajs-3916	52	10	into	into	ADP
iajs-3916	52	11	the	the	DET
iajs-3916	52	12	following	follow	VERB
iajs-3916	52	13	sections	section	NOUN
iajs-3916	52	14	:	:	PUNCT
iajs-3916	52	15	section	section	NOUN
iajs-3916	52	16	2	2	NUM
iajs-3916	52	17	presents	present	VERB
iajs-3916	52	18	the	the	DET
iajs-3916	52	19	literature	literature	PROPN
iajs-3916	52	20	review	review	PROPN
iajs-3916	52	21	.	.	PUNCT
iajs-3916	53	1	section	section	NOUN
iajs-3916	53	2	3	3	NUM
iajs-3916	53	3	offers	offer	VERB
iajs-3916	53	4	a	a	DET
iajs-3916	53	5	concise	concise	ADJ
iajs-3916	53	6	overview	overview	NOUN
iajs-3916	53	7	of	of	ADP
iajs-3916	53	8	the	the	DET
iajs-3916	53	9	research	research	NOUN
iajs-3916	53	10	methodology	methodology	NOUN
iajs-3916	53	11	and	and	CCONJ
iajs-3916	53	12	outlines	outline	VERB
iajs-3916	53	13	the	the	DET
iajs-3916	53	14	proposed	propose	VERB
iajs-3916	53	15	strategy	strategy	NOUN
iajs-3916	53	16	.	.	PUNCT
iajs-3916	54	1	section	section	NOUN
iajs-3916	54	2	4	4	NUM
iajs-3916	54	3	presents	present	VERB
iajs-3916	54	4	the	the	DET
iajs-3916	54	5	results	result	NOUN
iajs-3916	54	6	and	and	CCONJ
iajs-3916	54	7	discussions	discussion	NOUN
iajs-3916	54	8	,	,	PUNCT
iajs-3916	54	9	while	while	SCONJ
iajs-3916	54	10	section	section	NOUN
iajs-3916	54	11	5	5	NUM
iajs-3916	54	12	presents	present	VERB
iajs-3916	54	13	the	the	DET
iajs-3916	54	14	conclusion	conclusion	NOUN
iajs-3916	54	15	and	and	CCONJ
iajs-3916	54	16	future	future	ADJ
iajs-3916	54	17	work	work	NOUN
iajs-3916	54	18	of	of	ADP
iajs-3916	54	19	our	our	PRON
iajs-3916	54	20	study	study	NOUN
iajs-3916	54	21	.	.	PUNCT
iajs-3916	55	1	literature	literature	NOUN
iajs-3916	55	2	review	review	VERB
iajs-3916	55	3	human	human	ADJ
iajs-3916	55	4	mobility	mobility	NOUN
iajs-3916	55	5	prediction	prediction	NOUN
iajs-3916	55	6	entails	entail	VERB
iajs-3916	55	7	the	the	DET
iajs-3916	55	8	analysis	analysis	NOUN
iajs-3916	55	9	and	and	CCONJ
iajs-3916	55	10	prediction	prediction	NOUN
iajs-3916	55	11	of	of	ADP
iajs-3916	55	12	human	human	ADJ
iajs-3916	55	13	movements	movement	NOUN
iajs-3916	55	14	,	,	PUNCT
iajs-3916	55	15	whether	whether	SCONJ
iajs-3916	55	16	on	on	ADP
iajs-3916	55	17	an	an	DET
iajs-3916	55	18	individual	individual	ADJ
iajs-3916	55	19	or	or	CCONJ
iajs-3916	55	20	group	group	NOUN
iajs-3916	55	21	level	level	NOUN
iajs-3916	55	22	,	,	PUNCT
iajs-3916	55	23	using	use	VERB
iajs-3916	55	24	a	a	DET
iajs-3916	55	25	variety	variety	NOUN
iajs-3916	55	26	of	of	ADP
iajs-3916	55	27	data	datum	NOUN
iajs-3916	55	28	sources	source	NOUN
iajs-3916	55	29	and	and	CCONJ
iajs-3916	55	30	advanced	advanced	ADJ
iajs-3916	55	31	predictive	predictive	ADJ
iajs-3916	55	32	modeling	modeling	NOUN
iajs-3916	55	33	approaches	approach	NOUN
iajs-3916	55	34	[	[	X
iajs-3916	55	35	5	5	NUM
iajs-3916	55	36	]	]	PUNCT
iajs-3916	55	37	.	.	PUNCT
iajs-3916	56	1	this	this	DET
iajs-3916	56	2	section	section	NOUN
iajs-3916	56	3	examines	examine	VERB
iajs-3916	56	4	research	research	NOUN
iajs-3916	56	5	endeavors	endeavor	NOUN
iajs-3916	56	6	,	,	PUNCT
iajs-3916	56	7	specifically	specifically	ADV
iajs-3916	56	8	those	those	PRON
iajs-3916	56	9	that	that	PRON
iajs-3916	56	10	pertain	pertain	VERB
iajs-3916	56	11	to	to	ADP
iajs-3916	56	12	the	the	DET
iajs-3916	56	13	prediction	prediction	NOUN
iajs-3916	56	14	of	of	ADP
iajs-3916	56	15	future	future	ADJ
iajs-3916	56	16	locations	location	NOUN
iajs-3916	56	17	and	and	CCONJ
iajs-3916	56	18	the	the	DET
iajs-3916	56	19	identification	identification	NOUN
iajs-3916	56	20	of	of	ADP
iajs-3916	56	21	points	point	NOUN
iajs-3916	56	22	of	of	ADP
iajs-3916	56	23	interest	interest	NOUN
iajs-3916	56	24	(	(	PUNCT
iajs-3916	56	25	poi	poi	NOUN
iajs-3916	56	26	)	)	PUNCT
iajs-3916	56	27	.	.	PUNCT
iajs-3916	57	1	for	for	ADP
iajs-3916	57	2	example	example	NOUN
iajs-3916	57	3	,	,	PUNCT
iajs-3916	57	4	dongliang	dongliang	PROPN
iajs-3916	57	5	liao	liao	PROPN
iajs-3916	57	6	et	et	PROPN
iajs-3916	57	7	al	al	PROPN
iajs-3916	57	8	.	.	PUNCT
iajs-3916	58	1	[	[	X
iajs-3916	58	2	17	17	NUM
iajs-3916	58	3	]	]	PUNCT
iajs-3916	58	4	introduced	introduce	VERB
iajs-3916	58	5	spatial	spatial	ADJ
iajs-3916	58	6	-	-	PUNCT
iajs-3916	58	7	activity	activity	NOUN
iajs-3916	58	8	topics	topic	NOUN
iajs-3916	58	9	as	as	ADP
iajs-3916	58	10	the	the	DET
iajs-3916	58	11	underlying	underlying	ADJ
iajs-3916	58	12	factor	factor	NOUN
iajs-3916	58	13	that	that	PRON
iajs-3916	58	14	represents	represent	VERB
iajs-3916	58	15	both	both	CCONJ
iajs-3916	58	16	the	the	DET
iajs-3916	58	17	user	user	NOUN
iajs-3916	58	18	's	's	PART
iajs-3916	58	19	activity	activity	NOUN
iajs-3916	58	20	and	and	CCONJ
iajs-3916	58	21	location	location	NOUN
iajs-3916	58	22	preferences	preference	NOUN
iajs-3916	58	23	.	.	PUNCT
iajs-3916	59	1	their	their	PRON
iajs-3916	59	2	proposal	proposal	NOUN
iajs-3916	59	3	involves	involve	VERB
iajs-3916	59	4	the	the	DET
iajs-3916	59	5	utilization	utilization	NOUN
iajs-3916	59	6	of	of	ADP
iajs-3916	59	7	a	a	DET
iajs-3916	59	8	multi	multi	ADJ
iajs-3916	59	9	-	-	ADJ
iajs-3916	59	10	task	task	ADJ
iajs-3916	59	11	context	context	NOUN
iajs-3916	59	12	aware	aware	ADJ
iajs-3916	59	13	rnn	rnn	VERB
iajs-3916	59	14	to	to	PART
iajs-3916	59	15	exploit	exploit	VERB
iajs-3916	59	16	the	the	DET
iajs-3916	59	17	spatial	spatial	ADJ
iajs-3916	59	18	-	-	PUNCT
iajs-3916	59	19	activity	activity	NOUN
iajs-3916	59	20	theme	theme	NOUN
iajs-3916	59	21	in	in	ADP
iajs-3916	59	22	order	order	NOUN
iajs-3916	59	23	to	to	PART
iajs-3916	59	24	predict	predict	VERB
iajs-3916	59	25	both	both	DET
iajs-3916	59	26	activity	activity	NOUN
iajs-3916	59	27	and	and	CCONJ
iajs-3916	59	28	location	location	NOUN
iajs-3916	59	29	.	.	PUNCT
iajs-3916	60	1	meanwhile	meanwhile	ADV
iajs-3916	60	2	,	,	PUNCT
iajs-3916	60	3	qiang	qiang	PROPN
iajs-3916	60	4	gao	gao	PROPN
iajs-3916	60	5	et	et	PROPN
iajs-3916	60	6	al	al	PROPN
iajs-3916	60	7	.	.	PUNCT
iajs-3916	61	1	[	[	X
iajs-3916	61	2	18	18	NUM
iajs-3916	61	3	]	]	PUNCT
iajs-3916	61	4	suggested	suggest	VERB
iajs-3916	61	5	a	a	DET
iajs-3916	61	6	new	new	ADJ
iajs-3916	61	7	model	model	NOUN
iajs-3916	61	8	called	call	VERB
iajs-3916	61	9	variational	variational	ADJ
iajs-3916	61	10	attention	attention	NOUN
iajs-3916	61	11	-	-	PUNCT
iajs-3916	61	12	based	base	VERB
iajs-3916	61	13	next	next	ADJ
iajs-3916	61	14	(	(	PUNCT
iajs-3916	61	15	vanext	vanext	NOUN
iajs-3916	61	16	)	)	PUNCT
iajs-3916	61	17	for	for	ADP
iajs-3916	61	18	predicting	predict	VERB
iajs-3916	61	19	points	point	NOUN
iajs-3916	61	20	of	of	ADP
iajs-3916	61	21	interest	interest	NOUN
iajs-3916	61	22	(	(	PUNCT
iajs-3916	61	23	poi	poi	NOUN
iajs-3916	61	24	)	)	PUNCT
iajs-3916	61	25	.	.	PUNCT
iajs-3916	62	1	in	in	ADP
iajs-3916	62	2	particular	particular	ADJ
iajs-3916	62	3	,	,	PUNCT
iajs-3916	62	4	they	they	PRON
iajs-3916	62	5	used	use	VERB
iajs-3916	62	6	the	the	DET
iajs-3916	62	7	singapore	singapore	PROPN
iajs-3916	62	8	dataset	dataset	VERB
iajs-3916	62	9	by	by	ADP
iajs-3916	62	10	31.52	31.52	NUM
iajs-3916	62	11	%	%	NOUN
iajs-3916	62	12	,	,	PUNCT
iajs-3916	62	13	36.81	36.81	NUM
iajs-3916	62	14	%	%	NOUN
iajs-3916	62	15	,	,	PUNCT
iajs-3916	62	16	and	and	CCONJ
iajs-3916	62	17	32.68	32.68	NUM
iajs-3916	62	18	%	%	NOUN
iajs-3916	62	19	,	,	PUNCT
iajs-3916	62	20	respectively	respectively	ADV
iajs-3916	62	21	,	,	PUNCT
iajs-3916	62	22	in	in	ADP
iajs-3916	62	23	terms	term	NOUN
iajs-3916	62	24	of	of	ADP
iajs-3916	62	25	top@1	top@1	NOUN
iajs-3916	62	26	,	,	PUNCT
iajs-3916	62	27	top@5	top@5	PROPN
iajs-3916	62	28	,	,	PUNCT
iajs-3916	62	29	and	and	CCONJ
iajs-3916	62	30	top@10	top@10	X
iajs-3916	62	31	.	.	PUNCT
iajs-3916	63	1	additionally	additionally	ADV
iajs-3916	63	2	,	,	PUNCT
iajs-3916	63	3	katharina	katharina	PROPN
iajs-3916	63	4	prinz	prinz	PROPN
iajs-3916	63	5	in	in	ADP
iajs-3916	63	6	[	[	X
iajs-3916	63	7	19	19	NUM
iajs-3916	63	8	]	]	PUNCT
iajs-3916	63	9	employed	employ	VERB
iajs-3916	63	10	a	a	DET
iajs-3916	63	11	hidden	hide	VERB
iajs-3916	63	12	markov	markov	NOUN
iajs-3916	63	13	model	model	NOUN
iajs-3916	63	14	(	(	PUNCT
iajs-3916	63	15	hmm	hmm	INTJ
iajs-3916	63	16	)	)	PUNCT
iajs-3916	63	17	to	to	PART
iajs-3916	63	18	forecast	forecast	VERB
iajs-3916	63	19	future	future	ADJ
iajs-3916	63	20	locations	location	NOUN
iajs-3916	63	21	,	,	PUNCT
iajs-3916	63	22	utilizing	utilize	VERB
iajs-3916	63	23	the	the	DET
iajs-3916	63	24	clustering	cluster	VERB
iajs-3916	63	25	technique	technique	NOUN
iajs-3916	63	26	.	.	PUNCT
iajs-3916	64	1	density	density	NOUN
iajs-3916	64	2	-	-	PUNCT
iajs-3916	64	3	based	base	VERB
iajs-3916	64	4	clustering	clustering	NOUN
iajs-3916	64	5	(	(	PUNCT
iajs-3916	64	6	dbscan	dbscan	NOUN
iajs-3916	64	7	)	)	PUNCT
iajs-3916	64	8	is	be	AUX
iajs-3916	64	9	used	use	VERB
iajs-3916	64	10	to	to	PART
iajs-3916	64	11	group	group	VERB
iajs-3916	64	12	several	several	ADJ
iajs-3916	64	13	stay	stay	NOUN
iajs-3916	64	14	-	-	PUNCT
iajs-3916	64	15	points	point	NOUN
iajs-3916	64	16	together	together	ADV
iajs-3916	64	17	,	,	PUNCT
iajs-3916	64	18	resulting	result	VERB
iajs-3916	64	19	in	in	ADP
iajs-3916	64	20	the	the	DET
iajs-3916	64	21	formation	formation	NOUN
iajs-3916	64	22	of	of	ADP
iajs-3916	64	23	notable	notable	ADJ
iajs-3916	64	24	places	place	NOUN
iajs-3916	64	25	.	.	PUNCT
iajs-3916	65	1	therefore	therefore	ADV
iajs-3916	65	2	,	,	PUNCT
iajs-3916	65	3	to	to	PART
iajs-3916	65	4	address	address	VERB
iajs-3916	65	5	this	this	DET
iajs-3916	65	6	issue	issue	NOUN
iajs-3916	65	7	,	,	PUNCT
iajs-3916	65	8	we	we	PRON
iajs-3916	65	9	introduced	introduce	VERB
iajs-3916	65	10	deep	deep	ADJ
iajs-3916	65	11	learning	learning	NOUN
iajs-3916	65	12	(	(	PUNCT
iajs-3916	65	13	dl	dl	NOUN
iajs-3916	65	14	)	)	PUNCT
iajs-3916	65	15	models	model	NOUN
iajs-3916	65	16	,	,	PUNCT
iajs-3916	65	17	which	which	PRON
iajs-3916	65	18	have	have	VERB
iajs-3916	65	19	the	the	DET
iajs-3916	65	20	ability	ability	NOUN
iajs-3916	65	21	to	to	PART
iajs-3916	65	22	understand	understand	VERB
iajs-3916	65	23	complex	complex	ADJ
iajs-3916	65	24	sequential	sequential	ADJ
iajs-3916	65	25	relationships	relationship	NOUN
iajs-3916	65	26	from	from	ADP
iajs-3916	65	27	large	large	ADJ
iajs-3916	65	28	volumes	volume	NOUN
iajs-3916	65	29	of	of	ADP
iajs-3916	65	30	data	datum	NOUN
iajs-3916	65	31	.	.	PUNCT
iajs-3916	66	1	however	however	ADV
iajs-3916	66	2	,	,	PUNCT
iajs-3916	66	3	integration	integration	NOUN
iajs-3916	66	4	uses	use	VERB
iajs-3916	66	5	the	the	DET
iajs-3916	66	6	long	long	ADJ
iajs-3916	66	7	short	short	ADJ
iajs-3916	66	8	memory	memory	NOUN
iajs-3916	66	9	(	(	PUNCT
iajs-3916	66	10	lstm	lstm	NOUN
iajs-3916	66	11	)	)	PUNCT
iajs-3916	66	12	and	and	CCONJ
iajs-3916	66	13	dbscan	dbscan	VERB
iajs-3916	66	14	algorithms	algorithm	NOUN
iajs-3916	66	15	in	in	ADP
iajs-3916	66	16	[	[	X
iajs-3916	66	17	20	20	NUM
iajs-3916	66	18	]	]	PUNCT
iajs-3916	66	19	because	because	SCONJ
iajs-3916	66	20	they	they	PRON
iajs-3916	66	21	can	can	AUX
iajs-3916	66	22	tackle	tackle	VERB
iajs-3916	66	23	individual	individual	ADJ
iajs-3916	66	24	mobility	mobility	NOUN
iajs-3916	66	25	challenges	challenge	NOUN
iajs-3916	66	26	like	like	ADP
iajs-3916	66	27	modeling	model	VERB
iajs-3916	66	28	largescale	largescale	NOUN
iajs-3916	66	29	sequential	sequential	ADJ
iajs-3916	66	30	data	datum	NOUN
iajs-3916	66	31	and	and	CCONJ
iajs-3916	66	32	determining	determine	VERB
iajs-3916	66	33	the	the	DET
iajs-3916	66	34	number	number	NOUN
iajs-3916	66	35	of	of	ADP
iajs-3916	66	36	clusters	cluster	NOUN
iajs-3916	66	37	in	in	ADP
iajs-3916	66	38	arbitrary	arbitrary	ADJ
iajs-3916	66	39	trajectories	trajectory	NOUN
iajs-3916	66	40	.	.	PUNCT
iajs-3916	67	1	the	the	DET
iajs-3916	67	2	prediction	prediction	NOUN
iajs-3916	67	3	error	error	NOUN
iajs-3916	67	4	,	,	PUNCT
iajs-3916	67	5	or	or	CCONJ
iajs-3916	67	6	rmse	rmse	NOUN
iajs-3916	67	7	value	value	NOUN
iajs-3916	67	8	,	,	PUNCT
iajs-3916	67	9	consequently	consequently	ADV
iajs-3916	67	10	reached	reach	VERB
iajs-3916	67	11	a	a	DET
iajs-3916	67	12	score	score	NOUN
iajs-3916	67	13	of	of	ADP
iajs-3916	67	14	3.551	3.551	NUM
iajs-3916	67	15	.	.	PUNCT
iajs-3916	68	1	research	research	NOUN
iajs-3916	68	2	methodology	methodology	NOUN
iajs-3916	68	3	3.1	3.1	NUM
iajs-3916	68	4	dataset	dataset	VERB
iajs-3916	68	5	the	the	DET
iajs-3916	68	6	dl	dl	PROPN
iajs-3916	68	7	model	model	NOUN
iajs-3916	68	8	was	be	AUX
iajs-3916	68	9	applied	apply	VERB
iajs-3916	68	10	to	to	ADP
iajs-3916	68	11	the	the	DET
iajs-3916	68	12	real	real	ADJ
iajs-3916	68	13	-	-	PUNCT
iajs-3916	68	14	world	world	NOUN
iajs-3916	68	15	geolife	geolife	NOUN
iajs-3916	68	16	gps	gps	PROPN
iajs-3916	68	17	trajectories	trajectory	NOUN
iajs-3916	68	18	dataset	dataset	VERB
iajs-3916	68	19	.	.	PUNCT
iajs-3916	69	1	the	the	DET
iajs-3916	69	2	dataset	dataset	NOUN
iajs-3916	69	3	captured	capture	VERB
iajs-3916	69	4	a	a	DET
iajs-3916	69	5	diverse	diverse	ADJ
iajs-3916	69	6	range	range	NOUN
iajs-3916	69	7	of	of	ADP
iajs-3916	69	8	individuals	individual	NOUN
iajs-3916	69	9	participating	participate	VERB
iajs-3916	69	10	in	in	ADP
iajs-3916	69	11	various	various	ADJ
iajs-3916	69	12	outdoor	outdoor	ADJ
iajs-3916	69	13	activities	activity	NOUN
iajs-3916	69	14	,	,	PUNCT
iajs-3916	69	15	including	include	VERB
iajs-3916	69	16	everyday	everyday	ADJ
iajs-3916	69	17	tasks	task	NOUN
iajs-3916	69	18	like	like	ADP
iajs-3916	69	19	commuting	commute	VERB
iajs-3916	69	20	to	to	PART
iajs-3916	69	21	work	work	VERB
iajs-3916	69	22	as	as	ADV
iajs-3916	69	23	well	well	ADV
iajs-3916	69	24	as	as	ADP
iajs-3916	69	25	recreational	recreational	ADJ
iajs-3916	69	26	and	and	CCONJ
iajs-3916	69	27	sporty	sporty	ADJ
iajs-3916	69	28	pursuits	pursuit	NOUN
iajs-3916	69	29	such	such	ADJ
iajs-3916	69	30	as	as	ADP
iajs-3916	69	31	shopping	shopping	NOUN
iajs-3916	69	32	,	,	PUNCT
iajs-3916	69	33	sightseeing	sightseeing	NOUN
iajs-3916	69	34	,	,	PUNCT
iajs-3916	69	35	dining	dining	NOUN
iajs-3916	69	36	,	,	PUNCT
iajs-3916	69	37	hiking	hiking	NOUN
iajs-3916	69	38	,	,	PUNCT
iajs-3916	69	39	and	and	CCONJ
iajs-3916	69	40	cycling	cycling	NOUN
iajs-3916	69	41	.	.	PUNCT
iajs-3916	70	1	diverse	diverse	ADJ
iajs-3916	70	2	study	study	NOUN
iajs-3916	70	3	fields	field	NOUN
iajs-3916	70	4	widely	widely	ADV
iajs-3916	70	5	employ	employ	VERB
iajs-3916	70	6	it	it	PRON
iajs-3916	70	7	,	,	PUNCT
iajs-3916	70	8	including	include	VERB
iajs-3916	70	9	mobility	mobility	NOUN
iajs-3916	70	10	pattern	pattern	NOUN
iajs-3916	70	11	analysis	analysis	NOUN
iajs-3916	70	12	,	,	PUNCT
iajs-3916	70	13	user	user	NOUN
iajs-3916	70	14	activity	activity	NOUN
iajs-3916	70	15	recognition	recognition	NOUN
iajs-3916	70	16	,	,	PUNCT
iajs-3916	70	17	location	location	NOUN
iajs-3916	70	18	-	-	PUNCT
iajs-3916	70	19	based	base	VERB
iajs-3916	70	20	social	social	ADJ
iajs-3916	70	21	networks	network	NOUN
iajs-3916	70	22	,	,	PUNCT
iajs-3916	70	23	location	location	NOUN
iajs-3916	70	24	privacy	privacy	NOUN
iajs-3916	70	25	,	,	PUNCT
iajs-3916	70	26	and	and	CCONJ
iajs-3916	70	27	location	location	NOUN
iajs-3916	70	28	recommendation	recommendation	NOUN
iajs-3916	70	29	.	.	PUNCT
iajs-3916	71	1	the	the	DET
iajs-3916	71	2	gps	gps	PROPN
iajs-3916	71	3	trajectory	trajectory	NOUN
iajs-3916	71	4	data	datum	NOUN
iajs-3916	71	5	consists	consist	VERB
iajs-3916	71	6	of	of	ADP
iajs-3916	71	7	a	a	DET
iajs-3916	71	8	series	series	NOUN
iajs-3916	71	9	of	of	ADP
iajs-3916	71	10	time	time	NOUN
iajs-3916	71	11	-	-	PUNCT
iajs-3916	71	12	stamped	stamp	VERB
iajs-3916	71	13	points	point	NOUN
iajs-3916	71	14	,	,	PUNCT
iajs-3916	71	15	denoted	denote	VERB
iajs-3916	71	16	as	as	ADP
iajs-3916	71	17	tr	tr	VERB
iajs-3916	71	18	=	=	NOUN
iajs-3916	71	19	{	{	PUNCT
iajs-3916	71	20	tr1	tr1	NOUN
iajs-3916	71	21	,	,	PUNCT
iajs-3916	71	22	tr2	tr2	NOUN
iajs-3916	71	23	,	,	PUNCT
iajs-3916	71	24	…	…	PUNCT
iajs-3916	71	25	,	,	PUNCT
iajs-3916	71	26	trn}obtained	trn}obtaine	VERB
iajs-3916	71	27	from	from	ADP
iajs-3916	71	28	an	an	DET
iajs-3916	71	29	urban	urban	ADJ
iajs-3916	71	30	area	area	NOUN
iajs-3916	71	31	or	or	CCONJ
iajs-3916	71	32	city	city	NOUN
iajs-3916	71	33	.	.	PUNCT
iajs-3916	72	1	each	each	DET
iajs-3916	72	2	trajectory	trajectory	NOUN
iajs-3916	72	3	comprises	comprise	VERB
iajs-3916	72	4	a	a	DET
iajs-3916	72	5	sequence	sequence	NOUN
iajs-3916	72	6	of	of	ADP
iajs-3916	72	7	m	m	PROPN
iajs-3916	72	8	recordings	recording	NOUN
iajs-3916	72	9	.	.	PUNCT
iajs-3916	73	1	the	the	DET
iajs-3916	73	2	sequence	sequence	NOUN
iajs-3916	73	3	is	be	AUX
iajs-3916	73	4	denoted	denote	VERB
iajs-3916	73	5	as	as	ADP
iajs-3916	73	6	t	t	PROPN
iajs-3916	73	7	=	=	SYM
iajs-3916	73	8	t1	t1	PROPN
iajs-3916	73	9	,	,	PUNCT
iajs-3916	73	10	t2	t2	NOUN
iajs-3916	73	11	,	,	PUNCT
iajs-3916	73	12	...	...	PUNCT
iajs-3916	73	13	,	,	PUNCT
iajs-3916	73	14	tm	tm	PROPN
iajs-3916	73	15	.	.	PROPN
iajs-3916	74	1	each	each	DET
iajs-3916	74	2	record	record	NOUN
iajs-3916	74	3	t	t	PROPN
iajs-3916	74	4	is	be	AUX
iajs-3916	74	5	a	a	DET
iajs-3916	74	6	tuple	tuple	NOUN
iajs-3916	74	7	that	that	PRON
iajs-3916	74	8	comprises	comprise	VERB
iajs-3916	74	9	t	t	NOUN
iajs-3916	74	10	=	=	SYM
iajs-3916	74	11	{	{	PUNCT
iajs-3916	74	12	sequence	sequence	NOUN
iajs-3916	74	13	number	number	NOUN
iajs-3916	74	14	,	,	PUNCT
iajs-3916	74	15	time	time	NOUN
iajs-3916	74	16	as	as	ADP
iajs-3916	74	17	string	string	NOUN
iajs-3916	74	18	,	,	PUNCT
iajs-3916	74	19	latitude	latitude	NOUN
iajs-3916	74	20	,	,	PUNCT
iajs-3916	74	21	longitude	longitude	ADJ
iajs-3916	74	22	,	,	PUNCT
iajs-3916	74	23	altitude	altitude	NOUN
iajs-3916	74	24	,	,	PUNCT
iajs-3916	74	25	and	and	CCONJ
iajs-3916	74	26	number	number	NOUN
iajs-3916	74	27	of	of	ADP
iajs-3916	74	28	users}[21	users}[21	NOUN
iajs-3916	74	29	]	]	PUNCT
iajs-3916	74	30	,	,	PUNCT
iajs-3916	74	31	as	as	ADP
iajs-3916	74	32	in	in	ADP
iajs-3916	74	33	figure	figure	NOUN
iajs-3916	74	34	1	1	NUM
iajs-3916	74	35	.	.	PUNCT
iajs-3916	74	36	where	where	SCONJ
iajs-3916	74	37	the	the	DET
iajs-3916	74	38	raw	raw	ADJ
iajs-3916	74	39	data	datum	NOUN
iajs-3916	74	40	set	set	VERB
iajs-3916	74	41	is	be	AUX
iajs-3916	74	42	shown	show	VERB
iajs-3916	74	43	and	and	CCONJ
iajs-3916	74	44	some	some	DET
iajs-3916	74	45	trajectories	trajectory	NOUN
iajs-3916	74	46	are	be	AUX
iajs-3916	74	47	plotted	plot	VERB
iajs-3916	74	48	.	.	PUNCT
iajs-3916	75	1	algorithm	algorithm	NOUN
iajs-3916	75	2	1	1	NUM
iajs-3916	75	3	explains	explain	VERB
iajs-3916	75	4	how	how	SCONJ
iajs-3916	75	5	the	the	DET
iajs-3916	75	6	dataset	dataset	NOUN
iajs-3916	75	7	is	be	AUX
iajs-3916	75	8	preprocessed	preprocesse	VERB
iajs-3916	75	9	.	.	PUNCT
iajs-3916	76	1	ihjpas	ihjpas	PROPN
iajs-3916	76	2	.	.	PUNCT
iajs-3916	77	1	2024	2024	NUM
iajs-3916	77	2	,	,	PUNCT
iajs-3916	77	3	37(4	37(4	NOUN
iajs-3916	77	4	)	)	PUNCT
iajs-3916	77	5	426	426	NUM
iajs-3916	77	6	(	(	PUNCT
iajs-3916	77	7	a	a	NOUN
iajs-3916	77	8	)	)	PUNCT
iajs-3916	77	9	(	(	PUNCT
iajs-3916	77	10	b	b	X
iajs-3916	77	11	)	)	PUNCT
iajs-3916	77	12	figure	figure	NOUN
iajs-3916	77	13	1	1	NUM
iajs-3916	77	14	.	.	PUNCT
iajs-3916	78	1	(	(	PUNCT
iajs-3916	78	2	a	a	X
iajs-3916	78	3	)	)	PUNCT
iajs-3916	78	4	sample	sample	NOUN
iajs-3916	78	5	of	of	ADP
iajs-3916	78	6	raw	raw	ADJ
iajs-3916	78	7	dataset	dataset	NOUN
iajs-3916	78	8	(	(	PUNCT
iajs-3916	78	9	b	b	NOUN
iajs-3916	78	10	)	)	PUNCT
iajs-3916	78	11	trajectories	trajectory	NOUN
iajs-3916	78	12	for	for	ADP
iajs-3916	78	13	one	one	NUM
iajs-3916	78	14	user	user	NOUN
iajs-3916	78	15	3.2	3.2	NUM
iajs-3916	78	16	preprocessing	preprocessing	NOUN
iajs-3916	78	17	dataset	dataset	VERB
iajs-3916	78	18	the	the	DET
iajs-3916	78	19	dataset	dataset	NOUN
iajs-3916	78	20	contains	contain	VERB
iajs-3916	78	21	182	182	NUM
iajs-3916	78	22	folders	folder	NOUN
iajs-3916	78	23	.	.	PUNCT
iajs-3916	79	1	each	each	DET
iajs-3916	79	2	folder	folder	NOUN
iajs-3916	79	3	in	in	ADP
iajs-3916	79	4	this	this	DET
iajs-3916	79	5	collection	collection	NOUN
iajs-3916	79	6	includes	include	VERB
iajs-3916	79	7	the	the	DET
iajs-3916	79	8	plt	plt	NOUN
iajs-3916	79	9	-	-	PUNCT
iajs-3916	79	10	formatted	format	VERB
iajs-3916	79	11	gps	gps	NOUN
iajs-3916	79	12	log	log	VERB
iajs-3916	79	13	files	file	NOUN
iajs-3916	79	14	that	that	PRON
iajs-3916	79	15	belong	belong	VERB
iajs-3916	79	16	to	to	ADP
iajs-3916	79	17	a	a	DET
iajs-3916	79	18	certain	certain	ADJ
iajs-3916	79	19	user	user	NOUN
iajs-3916	79	20	.	.	PUNCT
iajs-3916	80	1	every	every	DET
iajs-3916	80	2	plt	plt	NOUN
iajs-3916	80	3	file	file	NOUN
iajs-3916	80	4	has	have	VERB
iajs-3916	80	5	a	a	DET
iajs-3916	80	6	unique	unique	ADJ
iajs-3916	80	7	trajectory	trajectory	NOUN
iajs-3916	80	8	,	,	PUNCT
iajs-3916	80	9	with	with	ADP
iajs-3916	80	10	a	a	DET
iajs-3916	80	11	starting	starting	NOUN
iajs-3916	80	12	time	time	NOUN
iajs-3916	80	13	assigned	assign	VERB
iajs-3916	80	14	to	to	ADP
iajs-3916	80	15	it	it	PRON
iajs-3916	80	16	.	.	PUNCT
iajs-3916	81	1	the	the	DET
iajs-3916	81	2	raw	raw	ADJ
iajs-3916	81	3	data	data	NOUN
iajs-3916	81	4	contains	contain	VERB
iajs-3916	81	5	six	six	NUM
iajs-3916	81	6	columns	column	NOUN
iajs-3916	81	7	of	of	ADP
iajs-3916	81	8	data	datum	NOUN
iajs-3916	81	9	.	.	PUNCT
iajs-3916	82	1	once	once	ADV
iajs-3916	82	2	the	the	DET
iajs-3916	82	3	raw	raw	ADJ
iajs-3916	82	4	data	datum	NOUN
iajs-3916	82	5	is	be	AUX
iajs-3916	82	6	extracted	extract	VERB
iajs-3916	82	7	from	from	ADP
iajs-3916	82	8	the	the	DET
iajs-3916	82	9	server	server	NOUN
iajs-3916	82	10	,	,	PUNCT
iajs-3916	82	11	it	it	PRON
iajs-3916	82	12	will	will	AUX
iajs-3916	82	13	be	be	AUX
iajs-3916	82	14	analyzed	analyze	VERB
iajs-3916	82	15	,	,	PUNCT
iajs-3916	82	16	and	and	CCONJ
iajs-3916	82	17	the	the	DET
iajs-3916	82	18	features	feature	NOUN
iajs-3916	82	19	required	require	VERB
iajs-3916	82	20	for	for	ADP
iajs-3916	82	21	the	the	DET
iajs-3916	82	22	next	next	ADJ
iajs-3916	82	23	location	location	NOUN
iajs-3916	82	24	will	will	AUX
iajs-3916	82	25	be	be	AUX
iajs-3916	82	26	selected	select	VERB
iajs-3916	82	27	.	.	PUNCT
iajs-3916	83	1	here	here	ADV
iajs-3916	83	2	,	,	PUNCT
iajs-3916	83	3	the	the	DET
iajs-3916	83	4	first	first	ADJ
iajs-3916	83	5	six	six	NUM
iajs-3916	83	6	lines	line	NOUN
iajs-3916	83	7	in	in	ADP
iajs-3916	83	8	each	each	DET
iajs-3916	83	9	folder	folder	NOUN
iajs-3916	83	10	,	,	PUNCT
iajs-3916	83	11	assumed	assume	VERB
iajs-3916	83	12	to	to	PART
iajs-3916	83	13	be	be	AUX
iajs-3916	83	14	headers	header	NOUN
iajs-3916	83	15	,	,	PUNCT
iajs-3916	83	16	must	must	AUX
iajs-3916	83	17	be	be	AUX
iajs-3916	83	18	dropped	drop	VERB
iajs-3916	83	19	and	and	CCONJ
iajs-3916	83	20	skipped	skip	VERB
iajs-3916	83	21	;	;	PUNCT
iajs-3916	83	22	this	this	PRON
iajs-3916	83	23	requires	require	VERB
iajs-3916	83	24	manipulating	manipulate	VERB
iajs-3916	83	25	and	and	CCONJ
iajs-3916	83	26	representing	represent	VERB
iajs-3916	83	27	the	the	DET
iajs-3916	83	28	acquired	acquire	VERB
iajs-3916	83	29	data	datum	NOUN
iajs-3916	83	30	through	through	ADP
iajs-3916	83	31	graphical	graphical	ADJ
iajs-3916	83	32	visualization	visualization	NOUN
iajs-3916	83	33	[	[	X
iajs-3916	83	34	21	21	NUM
iajs-3916	83	35	]	]	PUNCT
iajs-3916	83	36	.	.	PUNCT
iajs-3916	84	1	given	give	VERB
iajs-3916	84	2	that	that	SCONJ
iajs-3916	84	3	each	each	DET
iajs-3916	84	4	line	line	NOUN
iajs-3916	84	5	in	in	ADP
iajs-3916	84	6	the	the	DET
iajs-3916	84	7	data	data	NOUN
iajs-3916	84	8	list	list	NOUN
iajs-3916	84	9	consists	consist	VERB
iajs-3916	84	10	of	of	ADP
iajs-3916	84	11	comma	comma	NOUN
iajs-3916	84	12	-	-	PUNCT
iajs-3916	84	13	separated	separate	VERB
iajs-3916	84	14	values	value	NOUN
iajs-3916	84	15	,	,	PUNCT
iajs-3916	84	16	with	with	ADP
iajs-3916	84	17	the	the	DET
iajs-3916	84	18	first	first	ADJ
iajs-3916	84	19	value	value	NOUN
iajs-3916	84	20	denoting	denote	VERB
iajs-3916	84	21	latitude	latitude	NOUN
iajs-3916	84	22	and	and	CCONJ
iajs-3916	84	23	the	the	DET
iajs-3916	84	24	second	second	ADJ
iajs-3916	84	25	value	value	NOUN
iajs-3916	84	26	denoting	denote	VERB
iajs-3916	84	27	longitude	longitude	NOUN
iajs-3916	84	28	,	,	PUNCT
iajs-3916	84	29	these	these	DET
iajs-3916	84	30	lines	line	NOUN
iajs-3916	84	31	extract	extract	VERB
iajs-3916	84	32	and	and	CCONJ
iajs-3916	84	33	convert	convert	VERB
iajs-3916	84	34	these	these	DET
iajs-3916	84	35	values	value	NOUN
iajs-3916	84	36	into	into	ADP
iajs-3916	84	37	floating	float	VERB
iajs-3916	84	38	-	-	PUNCT
iajs-3916	84	39	point	point	NOUN
iajs-3916	84	40	data	datum	NOUN
iajs-3916	84	41	types	type	NOUN
iajs-3916	84	42	,	,	PUNCT
iajs-3916	84	43	resulting	result	VERB
iajs-3916	84	44	in	in	ADP
iajs-3916	84	45	two	two	NUM
iajs-3916	84	46	lists	list	NOUN
iajs-3916	84	47	:	:	PUNCT
iajs-3916	84	48	latitudes	latitude	NOUN
iajs-3916	84	49	and	and	CCONJ
iajs-3916	84	50	longitudes	longitude	NOUN
iajs-3916	84	51	,	,	PUNCT
iajs-3916	84	52	as	as	SCONJ
iajs-3916	84	53	shown	show	VERB
iajs-3916	84	54	in	in	ADP
iajs-3916	84	55	algorithm	algorithm	NOUN
iajs-3916	84	56	1	1	NUM
iajs-3916	84	57	:	:	PUNCT
iajs-3916	84	58	algorithm	algorithm	NOUN
iajs-3916	84	59	1	1	NUM
iajs-3916	84	60	:	:	PUNCT
iajs-3916	84	61	the	the	DET
iajs-3916	84	62	pre	pre	ADJ
iajs-3916	84	63	-	-	ADJ
iajs-3916	84	64	processing	processing	ADJ
iajs-3916	84	65	dataset	dataset	NOUN
iajs-3916	84	66	input	input	NOUN
iajs-3916	84	67	:	:	PUNCT
iajs-3916	84	68	dataset	dataset	ADJ
iajs-3916	84	69	output	output	NOUN
iajs-3916	84	70	:	:	PUNCT
iajs-3916	84	71	obtain	obtain	VERB
iajs-3916	84	72	two	two	NUM
iajs-3916	84	73	numpy	numpy	NOUN
iajs-3916	84	74	arrays(x	arrays(x	PROPN
iajs-3916	84	75	,	,	PUNCT
iajs-3916	84	76	y	y	PROPN
iajs-3916	84	77	)	)	PUNCT
iajs-3916	84	78	1	1	NUM
iajs-3916	84	79	:	:	PUNCT
iajs-3916	84	80	initialize	initialize	VERB
iajs-3916	84	81	data	data	NOUN
iajs-3916	84	82	path	path	NOUN
iajs-3916	84	83	2	2	NUM
iajs-3916	84	84	:	:	PUNCT
iajs-3916	84	85	for	for	ADP
iajs-3916	84	86	loop	loop	NOUN
iajs-3916	84	87	to	to	PART
iajs-3916	84	88	open	open	VERB
iajs-3916	84	89	the	the	DET
iajs-3916	84	90	file	file	NOUN
iajs-3916	84	91	for	for	ADP
iajs-3916	84	92	reading	read	VERB
iajs-3916	84	93	3	3	NUM
iajs-3916	84	94	:	:	PUNCT
iajs-3916	84	95	for	for	ADP
iajs-3916	84	96	loop	loop	NOUN
iajs-3916	84	97	to	to	PART
iajs-3916	84	98	skip	skip	VERB
iajs-3916	84	99	the	the	DET
iajs-3916	84	100	first	first	ADJ
iajs-3916	84	101	six	six	NUM
iajs-3916	84	102	lines	line	NOUN
iajs-3916	84	103	(	(	PUNCT
iajs-3916	84	104	assumed	assume	VERB
iajs-3916	84	105	headers	header	NOUN
iajs-3916	84	106	)	)	PUNCT
iajs-3916	84	107	4	4	NUM
iajs-3916	84	108	:	:	PUNCT
iajs-3916	84	109	read	read	VERB
iajs-3916	84	110	the	the	DET
iajs-3916	84	111	remaining	remain	VERB
iajs-3916	84	112	lines	line	NOUN
iajs-3916	84	113	,	,	PUNCT
iajs-3916	84	114	extracting	extract	VERB
iajs-3916	84	115	latitude	latitude	NOUN
iajs-3916	84	116	and	and	CCONJ
iajs-3916	84	117	longitude	longitude	ADJ
iajs-3916	84	118	coordinates	coordinate	NOUN
iajs-3916	84	119	from	from	ADP
iajs-3916	84	120	each	each	DET
iajs-3916	84	121	line	line	NOUN
iajs-3916	84	122	.	.	PUNCT
iajs-3916	85	1	5	5	NUM
iajs-3916	85	2	:	:	PUNCT
iajs-3916	85	3	scale	scale	VERB
iajs-3916	85	4	the	the	DET
iajs-3916	85	5	extracted	extract	VERB
iajs-3916	85	6	coordinates	coordinate	NOUN
iajs-3916	85	7	using	use	VERB
iajs-3916	85	8	a	a	DET
iajs-3916	85	9	minmaxscaler	minmaxscaler	NOUN
iajs-3916	85	10	.	.	PUNCT
iajs-3916	86	1	6	6	NUM
iajs-3916	86	2	:	:	PUNCT
iajs-3916	86	3	create	create	VERB
iajs-3916	86	4	sequences	sequence	NOUN
iajs-3916	86	5	of	of	ADP
iajs-3916	86	6	length	length	NOUN
iajs-3916	86	7	sequence	sequence	NOUN
iajs-3916	86	8	length	length	NOUN
iajs-3916	86	9	from	from	ADP
iajs-3916	86	10	the	the	DET
iajs-3916	86	11	scaled	scale	VERB
iajs-3916	86	12	coordinates	coordinate	NOUN
iajs-3916	86	13	.	.	PUNCT
iajs-3916	87	1	7	7	NUM
iajs-3916	87	2	:	:	PUNCT
iajs-3916	87	3	end	end	VERB
iajs-3916	87	4	for	for	ADP
iajs-3916	87	5	8	8	NUM
iajs-3916	87	6	:	:	PUNCT
iajs-3916	87	7	end	end	VERB
iajs-3916	87	8	for	for	ADP
iajs-3916	87	9	9	9	NUM
iajs-3916	87	10	:	:	PUNCT
iajs-3916	87	11	for	for	ADP
iajs-3916	87	12	loop	loop	NOUN
iajs-3916	87	13	to	to	ADP
iajs-3916	87	14	each	each	DET
iajs-3916	87	15	sequence	sequence	NOUN
iajs-3916	87	16	,	,	PUNCT
iajs-3916	87	17	add	add	VERB
iajs-3916	87	18	the	the	DET
iajs-3916	87	19	coordinate	coordinate	NOUN
iajs-3916	87	20	immediately	immediately	ADV
iajs-3916	87	21	following	follow	VERB
iajs-3916	87	22	it	it	PRON
iajs-3916	87	23	as	as	ADP
iajs-3916	87	24	a	a	DET
iajs-3916	87	25	target	target	NOUN
iajs-3916	87	26	value	value	NOUN
iajs-3916	87	27	to	to	ADP
iajs-3916	87	28	the	the	DET
iajs-3916	87	29	targets	target	NOUN
iajs-3916	87	30	list	list	NOUN
iajs-3916	87	31	.	.	PUNCT
iajs-3916	88	1	10	10	NUM
iajs-3916	88	2	:	:	PUNCT
iajs-3916	88	3	convert	convert	VERB
iajs-3916	88	4	lists	list	NOUN
iajs-3916	88	5	to	to	PART
iajs-3916	88	6	numpy	numpy	VERB
iajs-3916	88	7	arrays(x	arrays(x	PROPN
iajs-3916	88	8	,	,	PUNCT
iajs-3916	88	9	y	y	PROPN
iajs-3916	88	10	)	)	PUNCT
iajs-3916	88	11	12	12	NUM
iajs-3916	88	12	:	:	PUNCT
iajs-3916	88	13	return	return	VERB
iajs-3916	88	14	two	two	NUM
iajs-3916	88	15	numpy	numpy	NOUN
iajs-3916	88	16	arrays(x	arrays(x	PROPN
iajs-3916	88	17	,	,	PUNCT
iajs-3916	88	18	y	y	PROPN
iajs-3916	88	19	)	)	PUNCT
iajs-3916	88	20	13	13	NUM
iajs-3916	88	21	:	:	PUNCT
iajs-3916	88	22	end	end	VERB
iajs-3916	88	23	for	for	ADP
iajs-3916	88	24	3.3	3.3	NUM
iajs-3916	88	25	locating	locate	VERB
iajs-3916	88	26	fixed	fix	VERB
iajs-3916	88	27	locations	location	NOUN
iajs-3916	88	28	during	during	ADP
iajs-3916	88	29	this	this	DET
iajs-3916	88	30	phase	phase	NOUN
iajs-3916	88	31	,	,	PUNCT
iajs-3916	88	32	the	the	DET
iajs-3916	88	33	gps	gps	PROPN
iajs-3916	88	34	trajectory	trajectory	NOUN
iajs-3916	88	35	of	of	ADP
iajs-3916	88	36	a	a	DET
iajs-3916	88	37	user	user	NOUN
iajs-3916	88	38	over	over	ADP
iajs-3916	88	39	a	a	DET
iajs-3916	88	40	period	period	NOUN
iajs-3916	88	41	of	of	ADP
iajs-3916	88	42	more	more	ADJ
iajs-3916	88	43	than	than	ADP
iajs-3916	88	44	65	65	NUM
iajs-3916	88	45	days	day	NOUN
iajs-3916	88	46	identifies	identify	VERB
iajs-3916	88	47	multiple	multiple	ADJ
iajs-3916	88	48	stationary	stationary	ADJ
iajs-3916	88	49	points	point	NOUN
iajs-3916	88	50	.	.	PUNCT
iajs-3916	89	1	a	a	DET
iajs-3916	89	2	stay	stay	NOUN
iajs-3916	89	3	point	point	NOUN
iajs-3916	89	4	refers	refer	VERB
iajs-3916	89	5	to	to	ADP
iajs-3916	89	6	a	a	DET
iajs-3916	89	7	specific	specific	ADJ
iajs-3916	89	8	geographical	geographical	ADJ
iajs-3916	89	9	location	location	NOUN
iajs-3916	89	10	where	where	SCONJ
iajs-3916	89	11	an	an	DET
iajs-3916	89	12	individual	individual	NOUN
iajs-3916	89	13	remains	remain	VERB
iajs-3916	89	14	for	for	ADP
iajs-3916	89	15	a	a	DET
iajs-3916	89	16	certain	certain	ADJ
iajs-3916	89	17	duration	duration	NOUN
iajs-3916	89	18	.	.	PUNCT
iajs-3916	90	1	the	the	DET
iajs-3916	90	2	work	work	NOUN
iajs-3916	90	3	employed	employ	VERB
iajs-3916	90	4	the	the	DET
iajs-3916	90	5	density	density	NOUN
iajs-3916	90	6	-	-	PUNCT
iajs-3916	90	7	based	base	VERB
iajs-3916	90	8	clustering	clustering	NOUN
iajs-3916	90	9	(	(	PUNCT
iajs-3916	90	10	dbscan	dbscan	NOUN
iajs-3916	90	11	)	)	PUNCT
iajs-3916	90	12	algorithm	algorithm	NOUN
iajs-3916	90	13	to	to	ADP
iajs-3916	90	14	group	group	NOUN
iajs-3916	90	15	together	together	ADV
iajs-3916	90	16	regions	region	NOUN
iajs-3916	90	17	of	of	ADP
iajs-3916	90	18	interest	interest	NOUN
iajs-3916	90	19	based	base	VERB
iajs-3916	90	20	on	on	ADP
iajs-3916	90	21	stay	stay	NOUN
iajs-3916	90	22	points	point	NOUN
iajs-3916	90	23	.	.	PUNCT
iajs-3916	91	1	in	in	ADP
iajs-3916	91	2	many	many	ADJ
iajs-3916	91	3	use	use	NOUN
iajs-3916	91	4	cases	case	NOUN
iajs-3916	91	5	,	,	PUNCT
iajs-3916	91	6	the	the	DET
iajs-3916	91	7	domain	domain	NOUN
iajs-3916	91	8	knowledge	knowledge	NOUN
iajs-3916	91	9	required	require	VERB
iajs-3916	91	10	to	to	PART
iajs-3916	91	11	choose	choose	VERB
iajs-3916	91	12	a	a	DET
iajs-3916	91	13	fixed	fix	VERB
iajs-3916	91	14	number	number	NOUN
iajs-3916	91	15	of	of	ADP
iajs-3916	91	16	clusters	cluster	NOUN
iajs-3916	91	17	is	be	AUX
iajs-3916	91	18	frequently	frequently	ADV
iajs-3916	91	19	lacking	lacking	ADJ
iajs-3916	91	20	.	.	PUNCT
iajs-3916	92	1	to	to	PART
iajs-3916	92	2	get	get	VERB
iajs-3916	92	3	around	around	ADP
iajs-3916	92	4	this	this	PRON
iajs-3916	92	5	,	,	PUNCT
iajs-3916	92	6	dbscan	dbscan	ADJ
iajs-3916	92	7	methods	method	NOUN
iajs-3916	92	8	take	take	VERB
iajs-3916	92	9	into	into	ADP
iajs-3916	92	10	account	account	NOUN
iajs-3916	92	11	the	the	DET
iajs-3916	92	12	fact	fact	NOUN
iajs-3916	92	13	that	that	SCONJ
iajs-3916	92	14	there	there	PRON
iajs-3916	92	15	is	be	VERB
iajs-3916	92	16	a	a	DET
iajs-3916	92	17	lot	lot	NOUN
iajs-3916	92	18	more	more	ADJ
iajs-3916	92	19	density	density	NOUN
iajs-3916	92	20	inside	inside	ADP
iajs-3916	92	21	a	a	DET
iajs-3916	92	22	cluster	cluster	NOUN
iajs-3916	92	23	than	than	ADP
iajs-3916	92	24	outside	outside	ADP
iajs-3916	92	25	of	of	ADP
iajs-3916	92	26	it	it	PRON
iajs-3916	92	27	[	[	X
iajs-3916	92	28	22	22	NUM
iajs-3916	92	29	]	]	PUNCT
iajs-3916	92	30	.	.	PUNCT
iajs-3916	93	1	dbscan	dbscan	PROPN
iajs-3916	93	2	's	's	PART
iajs-3916	93	3	basic	basic	ADJ
iajs-3916	93	4	idea	idea	NOUN
iajs-3916	93	5	is	be	AUX
iajs-3916	93	6	to	to	PART
iajs-3916	93	7	find	find	VERB
iajs-3916	93	8	groups	group	NOUN
iajs-3916	93	9	of	of	ADP
iajs-3916	93	10	data	datum	NOUN
iajs-3916	93	11	points	point	NOUN
iajs-3916	93	12	with	with	ADP
iajs-3916	93	13	a	a	DET
iajs-3916	93	14	small	small	ADJ
iajs-3916	93	15	number	number	NOUN
iajs-3916	93	16	of	of	ADP
iajs-3916	93	17	nearby	nearby	ADJ
iajs-3916	93	18	points	point	NOUN
iajs-3916	93	19	within	within	ADP
iajs-3916	93	20	a	a	DET
iajs-3916	93	21	certain	certain	ADJ
iajs-3916	93	22	radius	radius	NOUN
iajs-3916	93	23	.	.	PUNCT
iajs-3916	94	1	in	in	ADP
iajs-3916	94	2	its	its	PRON
iajs-3916	94	3	simplest	simple	ADJ
iajs-3916	94	4	form	form	NOUN
iajs-3916	94	5	,	,	PUNCT
iajs-3916	94	6	a	a	DET
iajs-3916	94	7	neighborhood	neighborhood	NOUN
iajs-3916	94	8	density	density	NOUN
iajs-3916	94	9	has	have	VERB
iajs-3916	94	10	to	to	PART
iajs-3916	94	11	be	be	AUX
iajs-3916	94	12	higher	high	ADJ
iajs-3916	94	13	than	than	ADP
iajs-3916	94	14	a	a	DET
iajs-3916	94	15	certain	certain	ADJ
iajs-3916	94	16	threshold	threshold	NOUN
iajs-3916	94	17	.	.	PUNCT
iajs-3916	95	1	with	with	ADP
iajs-3916	95	2	dbscan	dbscan	NOUN
iajs-3916	95	3	,	,	PUNCT
iajs-3916	95	4	you	you	PRON
iajs-3916	95	5	can	can	AUX
iajs-3916	95	6	control	control	VERB
iajs-3916	95	7	the	the	DET
iajs-3916	95	8	neighborhood	neighborhood	NOUN
iajs-3916	95	9	shape	shape	NOUN
iajs-3916	95	10	using	use	VERB
iajs-3916	95	11	a	a	DET
iajs-3916	95	12	variety	variety	NOUN
iajs-3916	95	13	of	of	ADP
iajs-3916	95	14	distance	distance	NOUN
iajs-3916	95	15	functions	function	NOUN
iajs-3916	95	16	[	[	X
iajs-3916	95	17	19	19	NUM
iajs-3916	95	18	]	]	PUNCT
iajs-3916	95	19	.	.	PUNCT
iajs-3916	96	1	the	the	DET
iajs-3916	96	2	work	work	NOUN
iajs-3916	96	3	uses	use	VERB
iajs-3916	96	4	this	this	DET
iajs-3916	96	5	approach	approach	NOUN
iajs-3916	96	6	to	to	PART
iajs-3916	96	7	calculate	calculate	VERB
iajs-3916	96	8	clusters	cluster	NOUN
iajs-3916	96	9	of	of	ADP
iajs-3916	96	10	proximate	proximate	NOUN
iajs-3916	96	11	stay	stay	NOUN
iajs-3916	96	12	points	point	NOUN
iajs-3916	96	13	.	.	PUNCT
iajs-3916	97	1	the	the	DET
iajs-3916	97	2	algorithm	algorithm	NOUN
iajs-3916	97	3	parameters	parameter	NOUN
iajs-3916	97	4	consist	consist	VERB
iajs-3916	97	5	of	of	ADP
iajs-3916	97	6	epsilon	epsilon	PROPN
iajs-3916	97	7	(	(	PUNCT
iajs-3916	97	8	eps	eps	PROPN
iajs-3916	97	9	)	)	PUNCT
iajs-3916	97	10	ihjpas	ihjpas	PROPN
iajs-3916	97	11	.	.	PUNCT
iajs-3916	98	1	2024	2024	NUM
iajs-3916	98	2	,	,	PUNCT
iajs-3916	98	3	37(4	37(4	PROPN
iajs-3916	98	4	)	)	PUNCT
iajs-3916	98	5	427	427	NUM
iajs-3916	98	6	and	and	CCONJ
iajs-3916	98	7	the	the	DET
iajs-3916	98	8	minimum	minimum	ADJ
iajs-3916	98	9	number	number	NOUN
iajs-3916	98	10	of	of	ADP
iajs-3916	98	11	points	point	NOUN
iajs-3916	98	12	in	in	ADP
iajs-3916	98	13	the	the	DET
iajs-3916	98	14	neighborhood	neighborhood	NOUN
iajs-3916	98	15	(	(	PUNCT
iajs-3916	98	16	minpts	minpt	NOUN
iajs-3916	98	17	)	)	PUNCT
iajs-3916	98	18	.	.	PUNCT
iajs-3916	99	1	the	the	DET
iajs-3916	99	2	epsilon	epsilon	PROPN
iajs-3916	99	3	parameter	parameter	NOUN
iajs-3916	99	4	sets	set	VERB
iajs-3916	99	5	the	the	DET
iajs-3916	99	6	maximum	maximum	ADJ
iajs-3916	99	7	distance	distance	NOUN
iajs-3916	99	8	between	between	ADP
iajs-3916	99	9	points	point	NOUN
iajs-3916	99	10	required	require	VERB
iajs-3916	99	11	to	to	PART
iajs-3916	99	12	classify	classify	VERB
iajs-3916	99	13	them	they	PRON
iajs-3916	99	14	as	as	ADP
iajs-3916	99	15	part	part	NOUN
iajs-3916	99	16	of	of	ADP
iajs-3916	99	17	the	the	DET
iajs-3916	99	18	same	same	ADJ
iajs-3916	99	19	cluster	cluster	NOUN
iajs-3916	99	20	.	.	PUNCT
iajs-3916	100	1	for	for	ADP
iajs-3916	100	2	this	this	DET
iajs-3916	100	3	investigation	investigation	NOUN
iajs-3916	100	4	,	,	PUNCT
iajs-3916	100	5	the	the	DET
iajs-3916	100	6	work	work	NOUN
iajs-3916	100	7	established	establish	VERB
iajs-3916	100	8	a	a	DET
iajs-3916	100	9	different	different	ADJ
iajs-3916	100	10	eps	eps	NOUN
iajs-3916	100	11	as	as	ADP
iajs-3916	100	12	a	a	DET
iajs-3916	100	13	threshold	threshold	NOUN
iajs-3916	100	14	for	for	ADP
iajs-3916	100	15	points	point	NOUN
iajs-3916	100	16	to	to	PART
iajs-3916	100	17	be	be	AUX
iajs-3916	100	18	considered	consider	VERB
iajs-3916	100	19	part	part	NOUN
iajs-3916	100	20	of	of	ADP
iajs-3916	100	21	a	a	DET
iajs-3916	100	22	cluster	cluster	NOUN
iajs-3916	100	23	,	,	PUNCT
iajs-3916	100	24	as	as	SCONJ
iajs-3916	100	25	shown	show	VERB
iajs-3916	100	26	in	in	ADP
iajs-3916	100	27	algorithm	algorithm	NOUN
iajs-3916	100	28	2	2	NUM
iajs-3916	100	29	.	.	PUNCT
iajs-3916	100	30	algorithm	algorithm	NOUN
iajs-3916	100	31	2	2	NUM
iajs-3916	100	32	:	:	PUNCT
iajs-3916	100	33	dbscan	dbscan	NOUN
iajs-3916	100	34	[	[	X
iajs-3916	100	35	23	23	NUM
iajs-3916	100	36	]	]	PUNCT
iajs-3916	100	37	input	input	NOUN
iajs-3916	100	38	:	:	PUNCT
iajs-3916	100	39	dataset	dataset	NOUN
iajs-3916	100	40	,	,	PUNCT
iajs-3916	100	41	eps	eps	PROPN
iajs-3916	100	42	,	,	PUNCT
iajs-3916	100	43	minpts	minpt	NOUN
iajs-3916	100	44	output	output	NOUN
iajs-3916	100	45	:	:	PUNCT
iajs-3916	100	46	clusters	cluster	NOUN
iajs-3916	100	47	c	c	NOUN
iajs-3916	100	48	1	1	NUM
iajs-3916	100	49	:	:	PUNCT
iajs-3916	100	50	leave	leave	VERB
iajs-3916	100	51	all	all	DET
iajs-3916	100	52	points	point	NOUN
iajs-3916	100	53	as	as	ADV
iajs-3916	100	54	unmarked	unmarked	ADJ
iajs-3916	100	55	.	.	PUNCT
iajs-3916	101	1	2	2	NUM
iajs-3916	101	2	:	:	PUNCT
iajs-3916	101	3	do	do	AUX
iajs-3916	101	4	3	3	NUM
iajs-3916	101	5	:	:	PUNCT
iajs-3916	101	6	from	from	ADP
iajs-3916	101	7	the	the	DET
iajs-3916	101	8	collection	collection	NOUN
iajs-3916	101	9	of	of	ADP
iajs-3916	101	10	unmarked	unmarked	ADJ
iajs-3916	101	11	points	point	NOUN
iajs-3916	101	12	,	,	PUNCT
iajs-3916	101	13	pick	pick	VERB
iajs-3916	101	14	a	a	DET
iajs-3916	101	15	random	random	ADJ
iajs-3916	101	16	point	point	NOUN
iajs-3916	101	17	x	x	NOUN
iajs-3916	101	18	4	4	X
iajs-3916	101	19	:	:	PUNCT
iajs-3916	101	20	indicate	indicate	VERB
iajs-3916	101	21	x	x	PUNCT
iajs-3916	101	22	as	as	ADP
iajs-3916	101	23	unmarked	unmarked	ADJ
iajs-3916	101	24	5	5	NUM
iajs-3916	101	25	:	:	PUNCT
iajs-3916	101	26	if	if	SCONJ
iajs-3916	101	27	the	the	DET
iajs-3916	101	28	number	number	NOUN
iajs-3916	101	29	of	of	ADP
iajs-3916	101	30	points	point	NOUN
iajs-3916	101	31	within	within	ADP
iajs-3916	101	32	a	a	DET
iajs-3916	101	33	radius	radius	NOUN
iajs-3916	101	34	epsilon	epsilon	NOUN
iajs-3916	101	35	of	of	ADP
iajs-3916	101	36	x	x	PUNCT
iajs-3916	101	37	is	be	AUX
iajs-3916	101	38	more	more	ADJ
iajs-3916	101	39	than	than	ADP
iajs-3916	101	40	or	or	CCONJ
iajs-3916	101	41	equal	equal	ADJ
iajs-3916	101	42	to	to	ADP
iajs-3916	101	43	minpts	minpt	NOUN
iajs-3916	101	44	,	,	PUNCT
iajs-3916	101	45	then	then	ADV
iajs-3916	101	46	6	6	NUM
iajs-3916	101	47	:	:	PUNCT
iajs-3916	101	48	produce	produce	VERB
iajs-3916	101	49	a	a	DET
iajs-3916	101	50	new	new	ADJ
iajs-3916	101	51	cluster	cluster	NOUN
iajs-3916	101	52	c	c	NOUN
iajs-3916	101	53	and	and	CCONJ
iajs-3916	101	54	put	put	VERB
iajs-3916	101	55	p	p	NOUN
iajs-3916	101	56	into	into	ADP
iajs-3916	101	57	c	c	PROPN
iajs-3916	101	58	7	7	NUM
iajs-3916	101	59	:	:	PUNCT
iajs-3916	101	60	let	let	VERB
iajs-3916	101	61	p	p	NOUN
iajs-3916	101	62	for	for	ADP
iajs-3916	101	63	each	each	DET
iajs-3916	101	64	point	point	NOUN
iajs-3916	101	65	x	x	PUNCT
iajs-3916	101	66	do	do	VERB
iajs-3916	101	67	8	8	NUM
iajs-3916	101	68	:	:	PUNCT
iajs-3916	101	69	for	for	ADP
iajs-3916	101	70	p	p	NOUN
iajs-3916	101	71	for	for	ADP
iajs-3916	101	72	each	each	DET
iajs-3916	101	73	point	point	NOUN
iajs-3916	101	74	x	x	PUNCT
iajs-3916	101	75	do	do	VERB
iajs-3916	101	76	9	9	NUM
iajs-3916	101	77	:	:	PUNCT
iajs-3916	101	78	if	if	SCONJ
iajs-3916	101	79	x	x	PRON
iajs-3916	101	80	is	be	AUX
iajs-3916	101	81	unmarked	unmarked	ADJ
iajs-3916	101	82	then	then	ADV
iajs-3916	101	83	10	10	NUM
iajs-3916	101	84	:	:	PUNCT
iajs-3916	101	85	set	set	VERB
iajs-3916	101	86	x	x	PUNCT
iajs-3916	101	87	as	as	SCONJ
iajs-3916	101	88	marked	mark	VERB
iajs-3916	101	89	11	11	NUM
iajs-3916	101	90	:	:	PUNCT
iajs-3916	101	91	if	if	SCONJ
iajs-3916	101	92	the	the	DET
iajs-3916	101	93	number	number	NOUN
iajs-3916	101	94	of	of	ADP
iajs-3916	101	95	points	point	NOUN
iajs-3916	101	96	in	in	ADP
iajs-3916	101	97	x	x	PROPN
iajs-3916	101	98	adjacent	adjacent	ADJ
iajs-3916	101	99	area	area	PROPN
iajs-3916	101	100	eps	eps	PROPN
iajs-3916	101	101	>	>	X
iajs-3916	101	102	minpts	minpt	NOUN
iajs-3916	101	103	then	then	ADV
iajs-3916	101	104	12	12	NUM
iajs-3916	101	105	:	:	PUNCT
iajs-3916	101	106	put	put	VERB
iajs-3916	101	107	them	they	PRON
iajs-3916	101	108	all	all	PRON
iajs-3916	101	109	to	to	ADP
iajs-3916	101	110	x	x	SYM
iajs-3916	101	111	13	13	NUM
iajs-3916	101	112	:	:	PUNCT
iajs-3916	101	113	if	if	SCONJ
iajs-3916	101	114	x	x	PRON
iajs-3916	101	115	does	do	AUX
iajs-3916	101	116	not	not	PART
iajs-3916	101	117	belong	belong	VERB
iajs-3916	101	118	to	to	ADP
iajs-3916	101	119	any	any	DET
iajs-3916	101	120	cluster	cluster	NOUN
iajs-3916	101	121	then	then	ADV
iajs-3916	101	122	14	14	NUM
iajs-3916	101	123	:	:	PUNCT
iajs-3916	101	124	put	put	VERB
iajs-3916	101	125	x	x	PUNCT
iajs-3916	101	126	to	to	ADP
iajs-3916	101	127	c	c	NOUN
iajs-3916	101	128	15	15	NUM
iajs-3916	101	129	:	:	PUNCT
iajs-3916	101	130	end	end	VERB
iajs-3916	101	131	if	if	SCONJ
iajs-3916	101	132	16	16	NUM
iajs-3916	101	133	:	:	PUNCT
iajs-3916	101	134	end	end	VERB
iajs-3916	101	135	if	if	SCONJ
iajs-3916	101	136	17	17	NUM
iajs-3916	101	137	:	:	PUNCT
iajs-3916	101	138	end	end	VERB
iajs-3916	101	139	if	if	SCONJ
iajs-3916	101	140	18	18	NUM
iajs-3916	101	141	:	:	PUNCT
iajs-3916	101	142	end	end	VERB
iajs-3916	101	143	for	for	ADP
iajs-3916	101	144	19	19	NUM
iajs-3916	101	145	:	:	PUNCT
iajs-3916	101	146	output	output	NOUN
iajs-3916	101	147	c	c	NOUN
iajs-3916	101	148	20	20	NUM
iajs-3916	101	149	:	:	PUNCT
iajs-3916	101	150	else	else	ADV
iajs-3916	101	151	21	21	NUM
iajs-3916	101	152	:	:	PUNCT
iajs-3916	101	153	marks	mark	NOUN
iajs-3916	101	154	x	x	PUNCT
iajs-3916	101	155	as	as	ADP
iajs-3916	101	156	noise	noise	NOUN
iajs-3916	101	157	points	point	NOUN
iajs-3916	101	158	22	22	NUM
iajs-3916	101	159	:	:	PUNCT
iajs-3916	101	160	end	end	VERB
iajs-3916	101	161	if	if	SCONJ
iajs-3916	101	162	23	23	NUM
iajs-3916	101	163	:	:	PUNCT
iajs-3916	101	164	repeat	repeat	VERB
iajs-3916	101	165	the	the	DET
iajs-3916	101	166	above	above	ADJ
iajs-3916	101	167	procedure	procedure	NOUN
iajs-3916	101	168	until	until	SCONJ
iajs-3916	101	169	there	there	PRON
iajs-3916	101	170	are	be	VERB
iajs-3916	101	171	no	no	DET
iajs-3916	101	172	unmarked	unmarked	ADJ
iajs-3916	101	173	points	point	NOUN
iajs-3916	101	174	3.4	3.4	NUM
iajs-3916	101	175	modeling	modeling	NOUN
iajs-3916	101	176	and	and	CCONJ
iajs-3916	101	177	predicting	predict	VERB
iajs-3916	101	178	path	path	NOUN
iajs-3916	101	179	trajectory	trajectory	NOUN
iajs-3916	101	180	the	the	DET
iajs-3916	101	181	first	first	ADJ
iajs-3916	101	182	model	model	NOUN
iajs-3916	101	183	,	,	PUNCT
iajs-3916	101	184	recurrent	recurrent	ADJ
iajs-3916	101	185	neural	neural	ADJ
iajs-3916	101	186	networks	network	NOUN
iajs-3916	101	187	(	(	PUNCT
iajs-3916	101	188	rnns)[24	rnns)[24	PROPN
iajs-3916	101	189	]	]	PUNCT
iajs-3916	101	190	,	,	PUNCT
iajs-3916	101	191	has	have	AUX
iajs-3916	101	192	recently	recently	ADV
iajs-3916	101	193	demonstrated	demonstrate	VERB
iajs-3916	101	194	its	its	PRON
iajs-3916	101	195	effectiveness	effectiveness	NOUN
iajs-3916	101	196	in	in	ADP
iajs-3916	101	197	modeling	model	VERB
iajs-3916	101	198	sequential	sequential	ADJ
iajs-3916	101	199	data	datum	NOUN
iajs-3916	101	200	by	by	ADP
iajs-3916	101	201	capturing	capture	VERB
iajs-3916	101	202	intricate	intricate	ADJ
iajs-3916	101	203	longand	longand	NOUN
iajs-3916	101	204	short	short	ADJ
iajs-3916	101	205	-	-	PUNCT
iajs-3916	101	206	term	term	NOUN
iajs-3916	101	207	relationships	relationship	NOUN
iajs-3916	101	208	within	within	ADP
iajs-3916	101	209	input	input	NOUN
iajs-3916	101	210	sequences	sequence	NOUN
iajs-3916	101	211	.	.	PUNCT
iajs-3916	102	1	existing	exist	VERB
iajs-3916	102	2	strategies	strategy	NOUN
iajs-3916	102	3	aim	aim	VERB
iajs-3916	102	4	to	to	PART
iajs-3916	102	5	incorporate	incorporate	VERB
iajs-3916	102	6	contextual	contextual	ADJ
iajs-3916	102	7	factors	factor	NOUN
iajs-3916	102	8	into	into	ADP
iajs-3916	102	9	the	the	DET
iajs-3916	102	10	rnns	rnns	NOUN
iajs-3916	102	11	in	in	ADP
iajs-3916	102	12	order	order	NOUN
iajs-3916	102	13	to	to	PART
iajs-3916	102	14	handle	handle	VERB
iajs-3916	102	15	sequences	sequence	NOUN
iajs-3916	102	16	that	that	PRON
iajs-3916	102	17	are	be	AUX
iajs-3916	102	18	sparse	sparse	ADJ
iajs-3916	102	19	and	and	CCONJ
iajs-3916	102	20	incomplete	incomplete	ADJ
iajs-3916	102	21	[	[	X
iajs-3916	102	22	25	25	NUM
iajs-3916	102	23	]	]	PUNCT
iajs-3916	102	24	.	.	PUNCT
iajs-3916	103	1	one	one	PRON
iajs-3916	103	2	can	can	AUX
iajs-3916	103	3	incorporate	incorporate	VERB
iajs-3916	103	4	temporal	temporal	ADJ
iajs-3916	103	5	considerations	consideration	NOUN
iajs-3916	103	6	by	by	ADP
iajs-3916	103	7	dividing	divide	VERB
iajs-3916	103	8	each	each	DET
iajs-3916	103	9	sparse	sparse	ADJ
iajs-3916	103	10	input	input	NOUN
iajs-3916	103	11	sequence	sequence	NOUN
iajs-3916	103	12	into	into	ADP
iajs-3916	103	13	multiple	multiple	ADJ
iajs-3916	103	14	shorter	short	ADJ
iajs-3916	103	15	sessions	session	NOUN
iajs-3916	103	16	or	or	CCONJ
iajs-3916	103	17	by	by	ADP
iajs-3916	103	18	treating	treat	VERB
iajs-3916	103	19	temporal	temporal	ADJ
iajs-3916	103	20	elements	element	NOUN
iajs-3916	103	21	as	as	ADP
iajs-3916	103	22	supplementary	supplementary	ADJ
iajs-3916	103	23	inputs	input	NOUN
iajs-3916	103	24	to	to	ADP
iajs-3916	103	25	the	the	DET
iajs-3916	103	26	rnn	rnn	NOUN
iajs-3916	103	27	units	unit	NOUN
iajs-3916	103	28	.	.	PUNCT
iajs-3916	104	1	research	research	NOUN
iajs-3916	104	2	has	have	AUX
iajs-3916	104	3	demonstrated	demonstrate	VERB
iajs-3916	104	4	that	that	SCONJ
iajs-3916	104	5	spatiotemporal	spatiotemporal	ADJ
iajs-3916	104	6	features	feature	NOUN
iajs-3916	104	7	are	be	AUX
iajs-3916	104	8	highly	highly	ADV
iajs-3916	104	9	effective	effective	ADJ
iajs-3916	104	10	predictors	predictor	NOUN
iajs-3916	104	11	for	for	ADP
iajs-3916	104	12	location	location	NOUN
iajs-3916	104	13	prediction	prediction	NOUN
iajs-3916	104	14	based	base	VERB
iajs-3916	104	15	on	on	ADP
iajs-3916	104	16	limited	limited	ADJ
iajs-3916	104	17	user	user	NOUN
iajs-3916	104	18	movement	movement	NOUN
iajs-3916	104	19	data	datum	NOUN
iajs-3916	105	1	[	[	X
iajs-3916	105	2	26	26	NUM
iajs-3916	105	3	]	]	PUNCT
iajs-3916	105	4	.	.	PUNCT
iajs-3916	106	1	the	the	DET
iajs-3916	106	2	second	second	ADJ
iajs-3916	106	3	model	model	NOUN
iajs-3916	106	4	,	,	PUNCT
iajs-3916	106	5	the	the	DET
iajs-3916	106	6	gated	gate	VERB
iajs-3916	106	7	recurrent	recurrent	ADJ
iajs-3916	106	8	unit	unit	NOUN
iajs-3916	106	9	(	(	PUNCT
iajs-3916	106	10	gru	gru	PROPN
iajs-3916	106	11	)	)	PUNCT
iajs-3916	106	12	,	,	PUNCT
iajs-3916	106	13	is	be	AUX
iajs-3916	106	14	an	an	DET
iajs-3916	106	15	alternative	alternative	ADJ
iajs-3916	106	16	form	form	NOUN
iajs-3916	106	17	of	of	ADP
iajs-3916	106	18	the	the	DET
iajs-3916	106	19	rnn	rnn	NOUN
iajs-3916	106	20	design	design	NOUN
iajs-3916	106	21	that	that	PRON
iajs-3916	106	22	tackles	tackle	VERB
iajs-3916	106	23	the	the	DET
iajs-3916	106	24	problem	problem	NOUN
iajs-3916	106	25	of	of	ADP
iajs-3916	106	26	limited	limited	ADJ
iajs-3916	106	27	shortterm	shortterm	PROPN
iajs-3916	106	28	memory	memory	NOUN
iajs-3916	106	29	.	.	PUNCT
iajs-3916	107	1	the	the	DET
iajs-3916	107	2	next	next	ADJ
iajs-3916	107	3	section	section	NOUN
iajs-3916	107	4	provides	provide	VERB
iajs-3916	107	5	an	an	DET
iajs-3916	107	6	overview	overview	NOUN
iajs-3916	107	7	of	of	ADP
iajs-3916	107	8	the	the	DET
iajs-3916	107	9	various	various	ADJ
iajs-3916	107	10	components	component	NOUN
iajs-3916	107	11	of	of	ADP
iajs-3916	107	12	the	the	DET
iajs-3916	107	13	suggested	suggest	VERB
iajs-3916	107	14	models	model	NOUN
iajs-3916	107	15	and	and	CCONJ
iajs-3916	107	16	presents	present	VERB
iajs-3916	107	17	a	a	DET
iajs-3916	107	18	comprehensive	comprehensive	ADJ
iajs-3916	107	19	explanation	explanation	NOUN
iajs-3916	107	20	of	of	ADP
iajs-3916	107	21	the	the	DET
iajs-3916	107	22	proposed	propose	VERB
iajs-3916	107	23	deep	deep	ADJ
iajs-3916	107	24	learning	learning	NOUN
iajs-3916	107	25	model	model	NOUN
iajs-3916	107	26	architecture	architecture	NOUN
iajs-3916	107	27	.	.	PUNCT
iajs-3916	108	1	3.5	3.5	NUM
iajs-3916	108	2	the	the	DET
iajs-3916	108	3	fundamentals	fundamental	NOUN
iajs-3916	108	4	of	of	ADP
iajs-3916	108	5	the	the	DET
iajs-3916	108	6	rnns	rnns	PROPN
iajs-3916	108	7	and	and	CCONJ
iajs-3916	108	8	gru	gru	NOUN
iajs-3916	108	9	models	model	NOUN
iajs-3916	108	10	rnn	rnn	VERB
iajs-3916	108	11	is	be	AUX
iajs-3916	108	12	an	an	DET
iajs-3916	108	13	extension	extension	NOUN
iajs-3916	108	14	of	of	ADP
iajs-3916	108	15	the	the	DET
iajs-3916	108	16	standard	standard	ADJ
iajs-3916	108	17	feed	feed	NOUN
iajs-3916	108	18	-	-	PUNCT
iajs-3916	108	19	forward	forward	NOUN
iajs-3916	108	20	neural	neural	ADJ
iajs-3916	108	21	network	network	NOUN
iajs-3916	108	22	that	that	PRON
iajs-3916	108	23	is	be	AUX
iajs-3916	108	24	capable	capable	ADJ
iajs-3916	108	25	of	of	ADP
iajs-3916	108	26	processing	processing	NOUN
iajs-3916	108	27	input	input	NOUN
iajs-3916	108	28	sequences	sequence	NOUN
iajs-3916	108	29	of	of	ADP
iajs-3916	108	30	varying	vary	VERB
iajs-3916	108	31	lengths	length	NOUN
iajs-3916	108	32	[	[	X
iajs-3916	108	33	9	9	NUM
iajs-3916	108	34	]	]	PUNCT
iajs-3916	108	35	.	.	PUNCT
iajs-3916	109	1	the	the	DET
iajs-3916	109	2	rnn	rnn	NOUN
iajs-3916	109	3	is	be	AUX
iajs-3916	109	4	capable	capable	ADJ
iajs-3916	109	5	of	of	ADP
iajs-3916	109	6	processing	process	VERB
iajs-3916	109	7	sequences	sequence	NOUN
iajs-3916	109	8	of	of	ADP
iajs-3916	109	9	different	different	ADJ
iajs-3916	109	10	lengths	length	NOUN
iajs-3916	109	11	by	by	ADP
iajs-3916	109	12	utilizing	utilize	VERB
iajs-3916	109	13	a	a	DET
iajs-3916	109	14	hidden	hidden	ADJ
iajs-3916	109	15	state	state	NOUN
iajs-3916	109	16	that	that	PRON
iajs-3916	109	17	is	be	AUX
iajs-3916	109	18	recurrent	recurrent	ADJ
iajs-3916	109	19	and	and	CCONJ
iajs-3916	109	20	whose	whose	DET
iajs-3916	109	21	activation	activation	NOUN
iajs-3916	109	22	at	at	ADP
iajs-3916	109	23	each	each	DET
iajs-3916	109	24	time	time	NOUN
iajs-3916	109	25	step	step	NOUN
iajs-3916	109	26	depends	depend	VERB
iajs-3916	109	27	on	on	ADP
iajs-3916	109	28	the	the	DET
iajs-3916	109	29	activation	activation	NOUN
iajs-3916	109	30	of	of	ADP
iajs-3916	109	31	the	the	DET
iajs-3916	109	32	preceding	precede	VERB
iajs-3916	109	33	time	time	NOUN
iajs-3916	109	34	step	step	NOUN
iajs-3916	109	35	[	[	X
iajs-3916	109	36	27	27	NUM
iajs-3916	109	37	]	]	PUNCT
iajs-3916	109	38	.	.	PUNCT
iajs-3916	110	1	a	a	DET
iajs-3916	110	2	generative	generative	ADJ
iajs-3916	110	3	rnn	rnn	NOUN
iajs-3916	110	4	produces	produce	VERB
iajs-3916	110	5	the	the	DET
iajs-3916	110	6	probability	probability	NOUN
iajs-3916	110	7	distribution	distribution	NOUN
iajs-3916	110	8	of	of	ADP
iajs-3916	110	9	the	the	DET
iajs-3916	110	10	subsequent	subsequent	ADJ
iajs-3916	110	11	element	element	NOUN
iajs-3916	110	12	in	in	ADP
iajs-3916	110	13	a	a	DET
iajs-3916	110	14	sequence	sequence	NOUN
iajs-3916	110	15	based	base	VERB
iajs-3916	110	16	on	on	ADP
iajs-3916	110	17	its	its	PRON
iajs-3916	110	18	presence	presence	NOUN
iajs-3916	110	19	[	[	X
iajs-3916	110	20	26	26	NUM
iajs-3916	110	21	]	]	PUNCT
iajs-3916	110	22	.	.	PUNCT
iajs-3916	111	1	rnn	rnn	NOUN
iajs-3916	111	2	cells	cell	NOUN
iajs-3916	111	3	can	can	AUX
iajs-3916	111	4	be	be	AUX
iajs-3916	111	5	explained	explain	VERB
iajs-3916	111	6	in	in	ADP
iajs-3916	111	7	equations	equation	NOUN
iajs-3916	111	8	(	(	PUNCT
iajs-3916	111	9	1	1	NUM
iajs-3916	111	10	)	)	PUNCT
iajs-3916	111	11	and	and	CCONJ
iajs-3916	111	12	(	(	PUNCT
iajs-3916	111	13	2	2	NUM
iajs-3916	111	14	)	)	PUNCT
iajs-3916	111	15	.	.	PUNCT
iajs-3916	112	1	the	the	DET
iajs-3916	112	2	basic	basic	ADJ
iajs-3916	112	3	structure	structure	NOUN
iajs-3916	112	4	is	be	AUX
iajs-3916	112	5	shown	show	VERB
iajs-3916	112	6	in	in	ADP
iajs-3916	112	7	figure	figure	NOUN
iajs-3916	112	8	2	2	NUM
iajs-3916	112	9	[	[	X
iajs-3916	112	10	26	26	NUM
iajs-3916	112	11	]	]	PUNCT
iajs-3916	112	12	.	.	PUNCT
iajs-3916	113	1	ihjpas	ihjpas	PROPN
iajs-3916	113	2	.	.	PUNCT
iajs-3916	114	1	2024	2024	NUM
iajs-3916	114	2	,	,	PUNCT
iajs-3916	114	3	37(4	37(4	NOUN
iajs-3916	114	4	)	)	PUNCT
iajs-3916	114	5	428	428	NUM
iajs-3916	114	6	figure	figure	NOUN
iajs-3916	114	7	2	2	NUM
iajs-3916	114	8	.	.	PUNCT
iajs-3916	114	9	rnn	rnn	VERB
iajs-3916	114	10	neural	neural	ADJ
iajs-3916	114	11	network	network	NOUN
iajs-3916	114	12	basic	basic	ADJ
iajs-3916	114	13	structure	structure	NOUN
iajs-3916	114	14	ℎ𝜏	ℎ𝜏	ADP
iajs-3916	114	15	=	=	PROPN
iajs-3916	114	16	𝜎ℎ(𝑊ℎ𝑥𝜏	𝜎ℎ(𝑊ℎ𝑥𝜏	PROPN
iajs-3916	114	17	+	+	NUM
iajs-3916	114	18	𝑈ℎℎ𝑡−1	𝑈ℎℎ𝑡−1	NUM
iajs-3916	114	19	+	+	CCONJ
iajs-3916	114	20	𝑉	𝑉	PROPN
iajs-3916	114	21	)	)	PUNCT
iajs-3916	114	22	(	(	PUNCT
iajs-3916	114	23	1	1	X
iajs-3916	114	24	)	)	PUNCT
iajs-3916	114	25	𝑂𝑡	𝑂𝑡	PROPN
iajs-3916	114	26	=	=	SYM
iajs-3916	114	27	𝜎𝑜(𝑊𝑜ℎ𝑡	𝜎𝑜(𝑊𝑜ℎ𝑡	PROPN
iajs-3916	114	28	+	+	CCONJ
iajs-3916	114	29	𝑉𝑜	𝑉𝑜	NOUN
iajs-3916	114	30	)	)	PUNCT
iajs-3916	114	31	(	(	PUNCT
iajs-3916	114	32	2	2	X
iajs-3916	114	33	)	)	PUNCT
iajs-3916	115	1	where	where	SCONJ
iajs-3916	115	2	𝑥𝑡	𝑥𝑡	ADV
iajs-3916	115	3	𝑖𝑠	𝑖𝑠	ADP
iajs-3916	115	4	the	the	DET
iajs-3916	115	5	input	input	NOUN
iajs-3916	115	6	vector	vector	NOUN
iajs-3916	115	7	,	,	PUNCT
iajs-3916	115	8	ℎ𝑡	ℎ𝑡	NOUN
iajs-3916	115	9	is	be	AUX
iajs-3916	115	10	the	the	DET
iajs-3916	115	11	hidden	hidden	ADJ
iajs-3916	115	12	layer	layer	NOUN
iajs-3916	115	13	vector	vector	NOUN
iajs-3916	115	14	,	,	PUNCT
iajs-3916	115	15	ot	ot	X
iajs-3916	115	16	is	be	AUX
iajs-3916	115	17	the	the	DET
iajs-3916	115	18	output	output	NOUN
iajs-3916	115	19	vector	vector	NOUN
iajs-3916	115	20	,	,	PUNCT
iajs-3916	115	21	𝑊	𝑊	PROPN
iajs-3916	115	22	,	,	PUNCT
iajs-3916	115	23	𝑈	𝑈	PROPN
iajs-3916	115	24	,	,	PUNCT
iajs-3916	115	25	𝑉	𝑉	PROPN
iajs-3916	115	26	are	be	AUX
iajs-3916	115	27	parameter	parameter	NOUN
iajs-3916	115	28	matrices	matrix	NOUN
iajs-3916	115	29	and	and	CCONJ
iajs-3916	115	30	vector	vector	NOUN
iajs-3916	115	31	,	,	PUNCT
iajs-3916	115	32	𝜎𝑥	𝜎𝑥	NOUN
iajs-3916	115	33	,	,	PUNCT
iajs-3916	115	34	𝜎𝑂	𝜎𝑂	PROPN
iajs-3916	115	35	are	be	AUX
iajs-3916	115	36	activation	activation	NOUN
iajs-3916	115	37	functions	function	NOUN
iajs-3916	115	38	.	.	PUNCT
iajs-3916	116	1	a	a	DET
iajs-3916	116	2	gru	gru	NOUN
iajs-3916	116	3	unit	unit	NOUN
iajs-3916	116	4	comprises	comprise	VERB
iajs-3916	116	5	three	three	NUM
iajs-3916	116	6	primary	primary	ADJ
iajs-3916	116	7	components	component	NOUN
iajs-3916	116	8	:	:	PUNCT
iajs-3916	116	9	an	an	DET
iajs-3916	116	10	update	update	NOUN
iajs-3916	116	11	gate	gate	NOUN
iajs-3916	116	12	,	,	PUNCT
iajs-3916	116	13	a	a	DET
iajs-3916	116	14	reset	reset	NOUN
iajs-3916	116	15	gate	gate	NOUN
iajs-3916	116	16	,	,	PUNCT
iajs-3916	116	17	and	and	CCONJ
iajs-3916	116	18	the	the	DET
iajs-3916	116	19	current	current	ADJ
iajs-3916	116	20	memory	memory	NOUN
iajs-3916	116	21	content	content	NOUN
iajs-3916	116	22	.	.	PUNCT
iajs-3916	117	1	the	the	DET
iajs-3916	117	2	gates	gate	NOUN
iajs-3916	117	3	facilitate	facilitate	VERB
iajs-3916	117	4	the	the	DET
iajs-3916	117	5	gru	gru	NOUN
iajs-3916	117	6	in	in	ADP
iajs-3916	117	7	selectively	selectively	ADV
iajs-3916	117	8	updating	update	VERB
iajs-3916	117	9	and	and	CCONJ
iajs-3916	117	10	utilizing	utilize	VERB
iajs-3916	117	11	information	information	NOUN
iajs-3916	117	12	from	from	ADP
iajs-3916	117	13	preceding	precede	VERB
iajs-3916	117	14	time	time	NOUN
iajs-3916	117	15	steps	step	NOUN
iajs-3916	117	16	,	,	PUNCT
iajs-3916	117	17	hence	hence	ADV
iajs-3916	117	18	enabling	enable	VERB
iajs-3916	117	19	it	it	PRON
iajs-3916	117	20	to	to	PART
iajs-3916	117	21	capture	capture	VERB
iajs-3916	117	22	long	long	ADJ
iajs-3916	117	23	-	-	PUNCT
iajs-3916	117	24	term	term	NOUN
iajs-3916	117	25	dependencies	dependency	NOUN
iajs-3916	117	26	in	in	ADP
iajs-3916	117	27	sequences	sequence	NOUN
iajs-3916	117	28	[	[	X
iajs-3916	117	29	26	26	NUM
iajs-3916	117	30	]	]	X
iajs-3916	117	31	,	,	PUNCT
iajs-3916	117	32	as	as	ADP
iajs-3916	117	33	in	in	ADP
iajs-3916	117	34	figure	figure	NOUN
iajs-3916	117	35	3	3	NUM
iajs-3916	117	36	.	.	PUNCT
iajs-3916	117	37	figure	figure	NOUN
iajs-3916	117	38	3	3	NUM
iajs-3916	117	39	.	.	PUNCT
iajs-3916	118	1	the	the	DET
iajs-3916	118	2	basic	basic	ADJ
iajs-3916	118	3	structure	structure	NOUN
iajs-3916	118	4	of	of	ADP
iajs-3916	118	5	gru	gru	NOUN
iajs-3916	118	6	the	the	DET
iajs-3916	118	7	update	update	NOUN
iajs-3916	118	8	gate	gate	NOUN
iajs-3916	118	9	establishes	establish	VERB
iajs-3916	118	10	the	the	DET
iajs-3916	118	11	degree	degree	NOUN
iajs-3916	118	12	to	to	PART
iajs-3916	118	13	which	which	PRON
iajs-3916	118	14	the	the	DET
iajs-3916	118	15	current	current	ADJ
iajs-3916	118	16	state	state	NOUN
iajs-3916	118	17	retains	retain	VERB
iajs-3916	118	18	state	state	NOUN
iajs-3916	118	19	information	information	NOUN
iajs-3916	118	20	from	from	ADP
iajs-3916	118	21	the	the	DET
iajs-3916	118	22	previous	previous	ADJ
iajs-3916	118	23	instant	instant	NOUN
iajs-3916	118	24	.	.	PUNCT
iajs-3916	119	1	the	the	DET
iajs-3916	119	2	update	update	NOUN
iajs-3916	119	3	gate	gate	NOUN
iajs-3916	119	4	preserves	preserve	VERB
iajs-3916	119	5	more	more	ADJ
iajs-3916	119	6	state	state	NOUN
iajs-3916	119	7	information	information	NOUN
iajs-3916	119	8	from	from	ADP
iajs-3916	119	9	the	the	DET
iajs-3916	119	10	preceding	precede	VERB
iajs-3916	119	11	moment	moment	NOUN
iajs-3916	119	12	,	,	PUNCT
iajs-3916	119	13	the	the	PRON
iajs-3916	119	14	greater	great	ADJ
iajs-3916	119	15	its	its	PRON
iajs-3916	119	16	value	value	NOUN
iajs-3916	119	17	.	.	PUNCT
iajs-3916	120	1	equation	equation	NOUN
iajs-3916	120	2	(	(	PUNCT
iajs-3916	120	3	3	3	X
iajs-3916	120	4	)	)	PUNCT
iajs-3916	120	5	determines	determine	VERB
iajs-3916	120	6	the	the	DET
iajs-3916	120	7	update	update	NOUN
iajs-3916	120	8	gate	gate	NOUN
iajs-3916	120	9	state	state	NOUN
iajs-3916	120	10	at	at	ADP
iajs-3916	120	11	time	time	NOUN
iajs-3916	120	12	t	t	NOUN
iajs-3916	120	13	by	by	ADP
iajs-3916	120	14	the	the	DET
iajs-3916	120	15	following	follow	VERB
iajs-3916	120	16	formula	formula	NOUN
iajs-3916	120	17	:	:	PUNCT
iajs-3916	121	1	zt	zt	PROPN
iajs-3916	121	2	=	=	SYM
iajs-3916	121	3	𝜎(wz	𝜎(wz	X
iajs-3916	121	4	⋅	⋅	PROPN
iajs-3916	122	1	[	[	X
iajs-3916	122	2	ht−1	ht−1	PROPN
iajs-3916	122	3	,	,	PUNCT
iajs-3916	122	4	xt	xt	ADP
iajs-3916	122	5	]	]	X
iajs-3916	122	6	)	)	PUNCT
iajs-3916	122	7	(	(	PUNCT
iajs-3916	122	8	3	3	X
iajs-3916	122	9	)	)	PUNCT
iajs-3916	122	10	where	where	SCONJ
iajs-3916	122	11	𝑥𝑡	𝑥𝑡	ADV
iajs-3916	122	12	is	be	AUX
iajs-3916	122	13	the	the	DET
iajs-3916	122	14	input	input	NOUN
iajs-3916	122	15	vector	vector	NOUN
iajs-3916	122	16	,	,	PUNCT
iajs-3916	122	17	𝑧𝑡	𝑧𝑡	PRON
iajs-3916	122	18	is	be	AUX
iajs-3916	122	19	the	the	DET
iajs-3916	122	20	update	update	NOUN
iajs-3916	122	21	gate	gate	PROPN
iajs-3916	122	22	vector	vector	PROPN
iajs-3916	122	23	,	,	PUNCT
iajs-3916	122	24	ℎ𝑡−1	ℎ𝑡−1	PROPN
iajs-3916	122	25	is	be	AUX
iajs-3916	122	26	the	the	DET
iajs-3916	122	27	output	output	NOUN
iajs-3916	122	28	vector	vector	NOUN
iajs-3916	122	29	of	of	ADP
iajs-3916	122	30	the	the	DET
iajs-3916	122	31	previous	previous	ADJ
iajs-3916	122	32	state	state	NOUN
iajs-3916	122	33	,	,	PUNCT
iajs-3916	122	34	𝜎	𝜎	PROPN
iajs-3916	122	35	is	be	AUX
iajs-3916	122	36	the	the	DET
iajs-3916	122	37	sigmoid	sigmoid	NOUN
iajs-3916	122	38	function	function	NOUN
iajs-3916	122	39	,	,	PUNCT
iajs-3916	122	40	and	and	CCONJ
iajs-3916	122	41	wz	wz	PROPN
iajs-3916	122	42	is	be	AUX
iajs-3916	122	43	the	the	DET
iajs-3916	122	44	weight	weight	NOUN
iajs-3916	122	45	of	of	ADP
iajs-3916	122	46	the	the	DET
iajs-3916	122	47	update	update	NOUN
iajs-3916	122	48	gate	gate	NOUN
iajs-3916	122	49	.	.	PUNCT
iajs-3916	123	1	the	the	DET
iajs-3916	123	2	gru	gru	NOUN
iajs-3916	123	3	calculates	calculate	VERB
iajs-3916	123	4	the	the	DET
iajs-3916	123	5	reset	reset	NOUN
iajs-3916	123	6	gate	gate	NOUN
iajs-3916	123	7	state	state	PROPN
iajs-3916	123	8	(	(	PUNCT
iajs-3916	123	9	rt	rt	PROPN
iajs-3916	123	10	)	)	PUNCT
iajs-3916	123	11	at	at	ADP
iajs-3916	123	12	a	a	DET
iajs-3916	123	13	specific	specific	ADJ
iajs-3916	123	14	time	time	NOUN
iajs-3916	123	15	(	(	PUNCT
iajs-3916	123	16	t	t	NOUN
iajs-3916	123	17	)	)	PUNCT
iajs-3916	123	18	within	within	ADP
iajs-3916	123	19	the	the	DET
iajs-3916	123	20	reset	reset	NOUN
iajs-3916	123	21	gate	gate	NOUN
iajs-3916	123	22	to	to	PART
iajs-3916	123	23	indicate	indicate	VERB
iajs-3916	123	24	the	the	DET
iajs-3916	123	25	degree	degree	NOUN
iajs-3916	123	26	of	of	ADP
iajs-3916	123	27	disregard	disregard	NOUN
iajs-3916	123	28	for	for	ADP
iajs-3916	123	29	previous	previous	ADJ
iajs-3916	123	30	information	information	NOUN
iajs-3916	123	31	.	.	PUNCT
iajs-3916	124	1	a	a	DET
iajs-3916	124	2	smaller	small	ADJ
iajs-3916	124	3	reset	reset	NOUN
iajs-3916	124	4	gate	gate	NOUN
iajs-3916	124	5	value	value	NOUN
iajs-3916	124	6	indicates	indicate	VERB
iajs-3916	124	7	a	a	DET
iajs-3916	124	8	greater	great	ADJ
iajs-3916	124	9	amount	amount	NOUN
iajs-3916	124	10	of	of	ADP
iajs-3916	124	11	ignored	ignore	VERB
iajs-3916	124	12	information	information	NOUN
iajs-3916	124	13	.	.	PUNCT
iajs-3916	125	1	the	the	DET
iajs-3916	125	2	gate	gate	NOUN
iajs-3916	125	3	executes	execute	VERB
iajs-3916	125	4	the	the	DET
iajs-3916	125	5	subsequent	subsequent	ADJ
iajs-3916	125	6	equation	equation	NOUN
iajs-3916	125	7	(	(	PUNCT
iajs-3916	125	8	4	4	NUM
iajs-3916	125	9	):	):	PUNCT
iajs-3916	125	10	rt	rt	PROPN
iajs-3916	125	11	=	=	SYM
iajs-3916	125	12	𝜎(wr	𝜎(wr	PROPN
iajs-3916	125	13	⋅	⋅	PROPN
iajs-3916	125	14	[	[	X
iajs-3916	125	15	ht−1	ht−1	PROPN
iajs-3916	125	16	,	,	PUNCT
iajs-3916	125	17	xt	xt	ADP
iajs-3916	125	18	]	]	X
iajs-3916	125	19	)	)	PUNCT
iajs-3916	125	20	(	(	PUNCT
iajs-3916	125	21	4	4	X
iajs-3916	125	22	)	)	PUNCT
iajs-3916	125	23	where	where	SCONJ
iajs-3916	125	24	rt	rt	PROPN
iajs-3916	125	25	is	be	AUX
iajs-3916	125	26	the	the	DET
iajs-3916	125	27	reset	reset	NOUN
iajs-3916	125	28	gate	gate	NOUN
iajs-3916	125	29	,	,	PUNCT
iajs-3916	125	30	𝑥𝑡	𝑥𝑡	ADV
iajs-3916	125	31	is	be	AUX
iajs-3916	125	32	the	the	DET
iajs-3916	125	33	input	input	NOUN
iajs-3916	125	34	vector	vector	NOUN
iajs-3916	125	35	,	,	PUNCT
iajs-3916	125	36	ℎ𝑡−1	ℎ𝑡−1	PROPN
iajs-3916	125	37	is	be	AUX
iajs-3916	125	38	the	the	DET
iajs-3916	125	39	output	output	NOUN
iajs-3916	125	40	vector	vector	NOUN
iajs-3916	125	41	of	of	ADP
iajs-3916	125	42	the	the	DET
iajs-3916	125	43	previous	previous	ADJ
iajs-3916	125	44	state	state	NOUN
iajs-3916	125	45	,	,	PUNCT
iajs-3916	125	46	𝜎	𝜎	PROPN
iajs-3916	125	47	is	be	AUX
iajs-3916	125	48	a	a	DET
iajs-3916	125	49	sigmoid	sigmoid	NOUN
iajs-3916	125	50	function	function	NOUN
iajs-3916	125	51	,	,	PUNCT
iajs-3916	125	52	and	and	CCONJ
iajs-3916	125	53	wr	wr	PROPN
iajs-3916	125	54	is	be	AUX
iajs-3916	125	55	the	the	DET
iajs-3916	125	56	weight	weight	NOUN
iajs-3916	125	57	of	of	ADP
iajs-3916	125	58	the	the	DET
iajs-3916	125	59	reset	reset	NOUN
iajs-3916	125	60	gate	gate	NOUN
iajs-3916	125	61	.	.	PUNCT
iajs-3916	126	1	the	the	DET
iajs-3916	126	2	current	current	ADJ
iajs-3916	126	3	state	state	NOUN
iajs-3916	126	4	h̃t	h̃t	NOUN
iajs-3916	126	5	of	of	ADP
iajs-3916	126	6	the	the	DET
iajs-3916	126	7	gru	gru	PROPN
iajs-3916	126	8	memory	memory	NOUN
iajs-3916	126	9	unit	unit	NOUN
iajs-3916	126	10	is	be	AUX
iajs-3916	126	11	determined	determine	VERB
iajs-3916	126	12	by	by	ADP
iajs-3916	126	13	the	the	DET
iajs-3916	126	14	following	follow	VERB
iajs-3916	126	15	calculation	calculation	NOUN
iajs-3916	126	16	in	in	ADP
iajs-3916	126	17	equation	equation	NOUN
iajs-3916	126	18	(	(	PUNCT
iajs-3916	126	19	5	5	NUM
iajs-3916	126	20	):	):	PUNCT
iajs-3916	126	21	h̃t	h̃t	X
iajs-3916	127	1	=	=	PUNCT
iajs-3916	127	2	tanh(𝑊	tanh(𝑊	X
iajs-3916	127	3	⋅	⋅	X
iajs-3916	128	1	[	[	X
iajs-3916	128	2	𝑟𝑡	𝑟𝑡	PROPN
iajs-3916	128	3	⋅	⋅	PROPN
iajs-3916	128	4	ℎ𝑡−1	ℎ𝑡−1	PROPN
iajs-3916	128	5	,	,	PUNCT
iajs-3916	128	6	𝑥𝑡	𝑥𝑡	ADV
iajs-3916	128	7	]	]	PUNCT
iajs-3916	128	8	)	)	PUNCT
iajs-3916	128	9	(	(	PUNCT
iajs-3916	128	10	5	5	X
iajs-3916	128	11	)	)	PUNCT
iajs-3916	128	12	ihjpas	ihjpa	NOUN
iajs-3916	128	13	.	.	PUNCT
iajs-3916	129	1	2024	2024	NUM
iajs-3916	129	2	,	,	PUNCT
iajs-3916	129	3	37(4	37(4	NOUN
iajs-3916	129	4	)	)	PUNCT
iajs-3916	129	5	429	429	NUM
iajs-3916	129	6	where	where	SCONJ
iajs-3916	129	7	tanh	tanh	PROPN
iajs-3916	129	8	is	be	AUX
iajs-3916	129	9	the	the	DET
iajs-3916	129	10	hyperbolic	hyperbolic	ADJ
iajs-3916	129	11	tangent	tangent	NOUN
iajs-3916	129	12	function	function	NOUN
iajs-3916	129	13	and	and	CCONJ
iajs-3916	129	14	w	w	PROPN
iajs-3916	129	15	is	be	AUX
iajs-3916	129	16	weight	weight	NOUN
iajs-3916	129	17	.	.	PUNCT
iajs-3916	130	1	then	then	ADV
iajs-3916	130	2	,	,	PUNCT
iajs-3916	130	3	finally	finally	ADV
iajs-3916	130	4	,	,	PUNCT
iajs-3916	130	5	the	the	DET
iajs-3916	130	6	output	output	NOUN
iajs-3916	130	7	state	state	NOUN
iajs-3916	130	8	ht	ht	PROPN
iajs-3916	130	9	of	of	ADP
iajs-3916	130	10	the	the	DET
iajs-3916	130	11	gru	gru	NOUN
iajs-3916	130	12	at	at	ADP
iajs-3916	130	13	the	the	DET
iajs-3916	130	14	current	current	ADJ
iajs-3916	130	15	moment	moment	NOUN
iajs-3916	130	16	is	be	AUX
iajs-3916	130	17	determined	determine	VERB
iajs-3916	130	18	by	by	ADP
iajs-3916	130	19	equation	equation	NOUN
iajs-3916	130	20	(	(	PUNCT
iajs-3916	130	21	6	6	NUM
iajs-3916	130	22	):	):	PUNCT
iajs-3916	130	23	ht	ht	PROPN
iajs-3916	130	24	=	=	SYM
iajs-3916	130	25	(	(	PUNCT
iajs-3916	130	26	1	1	NUM
iajs-3916	130	27	−	−	PROPN
iajs-3916	130	28	zt	zt	PROPN
iajs-3916	130	29	)	)	PUNCT
iajs-3916	130	30	∗	∗	VERB
iajs-3916	130	31	ht−1	ht−1	PROPN
iajs-3916	131	1	+	+	CCONJ
iajs-3916	131	2	zt	zt	PROPN
iajs-3916	131	3	∗	∗	X
iajs-3916	131	4	h̃t	h̃t	NOUN
iajs-3916	131	5	(	(	PUNCT
iajs-3916	131	6	6	6	NUM
iajs-3916	131	7	)	)	PUNCT
iajs-3916	131	8	3.6	3.6	NUM
iajs-3916	131	9	the	the	DET
iajs-3916	131	10	proposed	propose	VERB
iajs-3916	131	11	models	model	NOUN
iajs-3916	131	12	in	in	ADP
iajs-3916	131	13	this	this	DET
iajs-3916	131	14	work	work	NOUN
iajs-3916	131	15	,	,	PUNCT
iajs-3916	131	16	two	two	NUM
iajs-3916	131	17	models	model	NOUN
iajs-3916	131	18	were	be	AUX
iajs-3916	131	19	proposed	propose	VERB
iajs-3916	131	20	.	.	PUNCT
iajs-3916	132	1	the	the	DET
iajs-3916	132	2	first	first	ADJ
iajs-3916	132	3	model	model	NOUN
iajs-3916	132	4	is	be	AUX
iajs-3916	132	5	rnn	rnn	NOUN
iajs-3916	132	6	,	,	PUNCT
iajs-3916	132	7	which	which	PRON
iajs-3916	132	8	was	be	AUX
iajs-3916	132	9	explored	explore	VERB
iajs-3916	132	10	in	in	ADP
iajs-3916	132	11	algorithm	algorithm	NOUN
iajs-3916	132	12	3	3	NUM
iajs-3916	132	13	.	.	PUNCT
iajs-3916	132	14	algorithm3	algorithm3	PROPN
iajs-3916	132	15	:	:	PUNCT
iajs-3916	132	16	the	the	DET
iajs-3916	132	17	training	training	NOUN
iajs-3916	132	18	process	process	NOUN
iajs-3916	132	19	of	of	ADP
iajs-3916	132	20	first	first	ADJ
iajs-3916	132	21	model	model	NOUN
iajs-3916	132	22	(	(	PUNCT
iajs-3916	132	23	rnn	rnn	PROPN
iajs-3916	132	24	)	)	PUNCT
iajs-3916	132	25	input	input	NOUN
iajs-3916	132	26	:	:	PUNCT
iajs-3916	132	27	dataset	dataset	ADJ
iajs-3916	132	28	output	output	NOUN
iajs-3916	132	29	:	:	PUNCT
iajs-3916	132	30	the	the	DET
iajs-3916	132	31	predicted	predict	VERB
iajs-3916	132	32	path	path	NOUN
iajs-3916	132	33	of	of	ADP
iajs-3916	132	34	the	the	DET
iajs-3916	132	35	next	next	ADJ
iajs-3916	132	36	location	location	NOUN
iajs-3916	132	37	1	1	NUM
iajs-3916	132	38	:	:	PUNCT
iajs-3916	132	39	initialize	initialize	VERB
iajs-3916	132	40	data	data	NOUN
iajs-3916	132	41	path	path	NOUN
iajs-3916	132	42	,	,	PUNCT
iajs-3916	132	43	sequence	sequence	NOUN
iajs-3916	132	44	length	length	NOUN
iajs-3916	132	45	2	2	NUM
iajs-3916	132	46	:	:	PUNCT
iajs-3916	132	47	for	for	ADP
iajs-3916	132	48	do	do	AUX
iajs-3916	132	49	3	3	NUM
iajs-3916	132	50	:	:	PUNCT
iajs-3916	132	51	obtain	obtain	VERB
iajs-3916	132	52	two	two	NUM
iajs-3916	132	53	numpy	numpy	NOUN
iajs-3916	132	54	arrays	array	NOUN
iajs-3916	132	55	from	from	ADP
iajs-3916	132	56	the	the	DET
iajs-3916	132	57	algorithm	algorithm	NOUN
iajs-3916	132	58	(	(	PUNCT
iajs-3916	132	59	1	1	NUM
iajs-3916	132	60	)	)	PUNCT
iajs-3916	132	61	4	4	NUM
iajs-3916	132	62	:	:	PUNCT
iajs-3916	132	63	end	end	VERB
iajs-3916	132	64	for	for	ADP
iajs-3916	132	65	5	5	NUM
iajs-3916	132	66	:	:	PUNCT
iajs-3916	132	67	for	for	SCONJ
iajs-3916	132	68	each	each	DET
iajs-3916	132	69	epoch	epoch	NOUN
iajs-3916	132	70	do	do	VERB
iajs-3916	132	71	6	6	NUM
iajs-3916	132	72	:	:	PUNCT
iajs-3916	132	73	for	for	ADP
iajs-3916	132	74	each	each	DET
iajs-3916	132	75	batch	batch	NOUN
iajs-3916	132	76	do	do	VERB
iajs-3916	132	77	7	7	NUM
iajs-3916	132	78	:	:	PUNCT
iajs-3916	132	79	simple	simple	ADJ
iajs-3916	132	80	rnn	rnn	NOUN
iajs-3916	132	81	model	model	PROPN
iajs-3916	132	82	forward	forward	ADV
iajs-3916	132	83	pass	pass	VERB
iajs-3916	132	84	;	;	PUNCT
iajs-3916	132	85	8	8	NUM
iajs-3916	132	86	:	:	PUNCT
iajs-3916	132	87	dence	dence	NOUN
iajs-3916	132	88	layer	layer	NOUN
iajs-3916	132	89	;	;	PUNCT
iajs-3916	132	90	9	9	NUM
iajs-3916	132	91	:	:	PUNCT
iajs-3916	132	92	dence	dence	NOUN
iajs-3916	132	93	layer	layer	NOUN
iajs-3916	132	94	;	;	PUNCT
iajs-3916	132	95	10	10	NUM
iajs-3916	132	96	:	:	PUNCT
iajs-3916	132	97	end	end	VERB
iajs-3916	132	98	for	for	ADP
iajs-3916	132	99	11	11	NUM
iajs-3916	132	100	:	:	PUNCT
iajs-3916	132	101	if	if	SCONJ
iajs-3916	132	102	the	the	DET
iajs-3916	132	103	value	value	NOUN
iajs-3916	132	104	of	of	ADP
iajs-3916	132	105	the	the	DET
iajs-3916	132	106	loss	loss	NOUN
iajs-3916	132	107	function	function	NOUN
iajs-3916	132	108	is	be	AUX
iajs-3916	132	109	greater	great	ADJ
iajs-3916	132	110	than	than	ADP
iajs-3916	132	111	the	the	DET
iajs-3916	132	112	previous	previous	ADJ
iajs-3916	132	113	state	state	NOUN
iajs-3916	132	114	,	,	PUNCT
iajs-3916	132	115	stop	stop	VERB
iajs-3916	132	116	training	train	VERB
iajs-3916	132	117	12	12	NUM
iajs-3916	132	118	:	:	PUNCT
iajs-3916	132	119	else	else	ADV
iajs-3916	132	120	13	13	NUM
iajs-3916	132	121	:	:	PUNCT
iajs-3916	132	122	update	update	VERB
iajs-3916	132	123	weight	weight	PROPN
iajs-3916	132	124	vi	vi	PROPN
iajs-3916	132	125	adam	adam	PROPN
iajs-3916	132	126	optimizer	optimizer	NOUN
iajs-3916	132	127	algorithm	algorithm	NOUN
iajs-3916	132	128	until	until	SCONJ
iajs-3916	132	129	end	end	NOUN
iajs-3916	132	130	epoch	epoch	PROPN
iajs-3916	132	131	14	14	NUM
iajs-3916	132	132	:	:	PUNCT
iajs-3916	132	133	end	end	VERB
iajs-3916	132	134	for	for	ADP
iajs-3916	132	135	13	13	NUM
iajs-3916	132	136	:	:	PUNCT
iajs-3916	132	137	calculate	calculate	VERB
iajs-3916	132	138	evolution	evolution	NOUN
iajs-3916	132	139	metrics	metric	NOUN
iajs-3916	132	140	mse	mse	PROPN
iajs-3916	132	141	,	,	PUNCT
iajs-3916	132	142	rmse	rmse	NOUN
iajs-3916	132	143	,	,	PUNCT
iajs-3916	132	144	map	map	VERB
iajs-3916	132	145	the	the	DET
iajs-3916	132	146	rnn	rnn	NOUN
iajs-3916	132	147	model	model	NOUN
iajs-3916	132	148	depends	depend	VERB
iajs-3916	132	149	on	on	ADP
iajs-3916	132	150	simple	simple	ADJ
iajs-3916	132	151	rnn	rnn	NOUN
iajs-3916	132	152	units	unit	NOUN
iajs-3916	132	153	[	[	X
iajs-3916	132	154	28	28	NUM
iajs-3916	132	155	]	]	PUNCT
iajs-3916	132	156	.	.	PUNCT
iajs-3916	133	1	the	the	DET
iajs-3916	133	2	models	model	NOUN
iajs-3916	133	3	were	be	AUX
iajs-3916	133	4	trained	train	VERB
iajs-3916	133	5	by	by	ADP
iajs-3916	133	6	backpropagation	backpropagation	NOUN
iajs-3916	133	7	through	through	ADP
iajs-3916	133	8	time	time	NOUN
iajs-3916	133	9	using	use	VERB
iajs-3916	133	10	the	the	DET
iajs-3916	133	11	adam	adam	PROPN
iajs-3916	133	12	stochastic	stochastic	ADJ
iajs-3916	133	13	optimizer	optimizer	NOUN
iajs-3916	133	14	[	[	X
iajs-3916	133	15	29	29	NUM
iajs-3916	133	16	]	]	PUNCT
iajs-3916	133	17	with	with	ADP
iajs-3916	133	18	mean	mean	ADJ
iajs-3916	133	19	square	square	ADJ
iajs-3916	133	20	error	error	NOUN
iajs-3916	133	21	(	(	PUNCT
iajs-3916	133	22	mse	mse	NOUN
iajs-3916	133	23	)	)	PUNCT
iajs-3916	133	24	loss	loss	NOUN
iajs-3916	133	25	[	[	X
iajs-3916	133	26	30	30	NUM
iajs-3916	133	27	]	]	PUNCT
iajs-3916	133	28	,	,	PUNCT
iajs-3916	133	29	whereas	whereas	SCONJ
iajs-3916	133	30	the	the	DET
iajs-3916	133	31	second	second	ADJ
iajs-3916	133	32	proposed	propose	VERB
iajs-3916	133	33	model	model	NOUN
iajs-3916	133	34	was	be	AUX
iajs-3916	133	35	explored	explore	VERB
iajs-3916	133	36	in	in	ADP
iajs-3916	133	37	algorithm	algorithm	NOUN
iajs-3916	133	38	4	4	NUM
iajs-3916	133	39	,	,	PUNCT
iajs-3916	133	40	which	which	PRON
iajs-3916	133	41	depended	depend	VERB
iajs-3916	133	42	on	on	ADP
iajs-3916	133	43	gru	gru	NOUN
iajs-3916	133	44	units	unit	NOUN
iajs-3916	133	45	.	.	PUNCT
iajs-3916	134	1	algorithm	algorithm	NOUN
iajs-3916	134	2	4	4	NUM
iajs-3916	134	3	:	:	PUNCT
iajs-3916	134	4	the	the	DET
iajs-3916	134	5	training	training	NOUN
iajs-3916	134	6	process	process	NOUN
iajs-3916	134	7	of	of	ADP
iajs-3916	134	8	the	the	DET
iajs-3916	134	9	second	second	ADJ
iajs-3916	134	10	model(gru	model(gru	NOUN
iajs-3916	134	11	)	)	PUNCT
iajs-3916	134	12	input	input	NOUN
iajs-3916	134	13	:	:	PUNCT
iajs-3916	134	14	dataset	dataset	ADJ
iajs-3916	134	15	output	output	NOUN
iajs-3916	134	16	:	:	PUNCT
iajs-3916	134	17	the	the	DET
iajs-3916	134	18	predicted	predict	VERB
iajs-3916	134	19	path	path	NOUN
iajs-3916	134	20	of	of	ADP
iajs-3916	134	21	the	the	DET
iajs-3916	134	22	next	next	ADJ
iajs-3916	134	23	location	location	NOUN
iajs-3916	134	24	1	1	NUM
iajs-3916	134	25	:	:	PUNCT
iajs-3916	134	26	initialize	initialize	VERB
iajs-3916	134	27	data	data	NOUN
iajs-3916	134	28	path	path	NOUN
iajs-3916	134	29	,	,	PUNCT
iajs-3916	134	30	sequence	sequence	NOUN
iajs-3916	134	31	length	length	NOUN
iajs-3916	134	32	,	,	PUNCT
iajs-3916	134	33	2	2	NUM
iajs-3916	134	34	:	:	PUNCT
iajs-3916	134	35	for	for	ADP
iajs-3916	134	36	do	do	AUX
iajs-3916	134	37	3	3	NUM
iajs-3916	134	38	:	:	PUNCT
iajs-3916	134	39	obtain	obtain	VERB
iajs-3916	134	40	two	two	NUM
iajs-3916	134	41	numpy	numpy	NOUN
iajs-3916	134	42	arrays	array	NOUN
iajs-3916	134	43	from	from	ADP
iajs-3916	134	44	the	the	DET
iajs-3916	134	45	algorithm	algorithm	NOUN
iajs-3916	134	46	(	(	PUNCT
iajs-3916	134	47	1	1	NUM
iajs-3916	134	48	)	)	PUNCT
iajs-3916	134	49	4	4	NUM
iajs-3916	134	50	:	:	PUNCT
iajs-3916	134	51	end	end	VERB
iajs-3916	134	52	for	for	ADP
iajs-3916	134	53	5	5	NUM
iajs-3916	134	54	:	:	PUNCT
iajs-3916	134	55	for	for	SCONJ
iajs-3916	134	56	each	each	DET
iajs-3916	134	57	epoch	epoch	NOUN
iajs-3916	134	58	do	do	VERB
iajs-3916	134	59	6	6	NUM
iajs-3916	134	60	:	:	PUNCT
iajs-3916	134	61	for	for	ADP
iajs-3916	134	62	each	each	DET
iajs-3916	134	63	batch	batch	NOUN
iajs-3916	134	64	do	do	VERB
iajs-3916	134	65	7	7	NUM
iajs-3916	134	66	:	:	PUNCT
iajs-3916	134	67	gru	gru	PROPN
iajs-3916	134	68	model	model	NOUN
iajs-3916	134	69	forward	forward	ADV
iajs-3916	134	70	pass	pass	NOUN
iajs-3916	134	71	;	;	PUNCT
iajs-3916	134	72	8	8	NUM
iajs-3916	134	73	:	:	PUNCT
iajs-3916	134	74	dence	dence	NOUN
iajs-3916	134	75	layer	layer	NOUN
iajs-3916	134	76	;	;	PUNCT
iajs-3916	134	77	9	9	NUM
iajs-3916	134	78	:	:	PUNCT
iajs-3916	134	79	dence	dence	NOUN
iajs-3916	134	80	layer	layer	NOUN
iajs-3916	134	81	;	;	PUNCT
iajs-3916	134	82	10	10	NUM
iajs-3916	134	83	:	:	PUNCT
iajs-3916	134	84	end	end	VERB
iajs-3916	134	85	for	for	ADP
iajs-3916	134	86	11	11	NUM
iajs-3916	134	87	:	:	PUNCT
iajs-3916	134	88	if	if	SCONJ
iajs-3916	134	89	the	the	DET
iajs-3916	134	90	value	value	NOUN
iajs-3916	134	91	of	of	ADP
iajs-3916	134	92	the	the	DET
iajs-3916	134	93	loss	loss	NOUN
iajs-3916	134	94	function	function	NOUN
iajs-3916	134	95	is	be	AUX
iajs-3916	134	96	greater	great	ADJ
iajs-3916	134	97	than	than	ADP
iajs-3916	134	98	the	the	DET
iajs-3916	134	99	previous	previous	ADJ
iajs-3916	134	100	state	state	NOUN
iajs-3916	134	101	,	,	PUNCT
iajs-3916	134	102	stop	stop	VERB
iajs-3916	134	103	training	train	VERB
iajs-3916	134	104	12	12	NUM
iajs-3916	134	105	:	:	PUNCT
iajs-3916	134	106	else	else	ADV
iajs-3916	134	107	13	13	NUM
iajs-3916	134	108	:	:	PUNCT
iajs-3916	134	109	update	update	VERB
iajs-3916	134	110	weight	weight	PROPN
iajs-3916	134	111	vi	vi	PROPN
iajs-3916	134	112	adam	adam	PROPN
iajs-3916	134	113	optimizer	optimizer	NOUN
iajs-3916	134	114	algorithm	algorithm	NOUN
iajs-3916	134	115	until	until	SCONJ
iajs-3916	134	116	end	end	NOUN
iajs-3916	134	117	epoch	epoch	PROPN
iajs-3916	134	118	14	14	NUM
iajs-3916	134	119	:	:	PUNCT
iajs-3916	134	120	end	end	VERB
iajs-3916	134	121	for	for	ADP
iajs-3916	134	122	13	13	NUM
iajs-3916	134	123	:	:	PUNCT
iajs-3916	134	124	calculate	calculate	NOUN
iajs-3916	134	125	evaluation	evaluation	NOUN
iajs-3916	134	126	metrics	metric	NOUN
iajs-3916	134	127	mse	mse	NOUN
iajs-3916	134	128	,	,	PUNCT
iajs-3916	134	129	rmse	rmse	NOUN
iajs-3916	134	130	,	,	PUNCT
iajs-3916	134	131	map	map	VERB
iajs-3916	134	132	results	result	NOUN
iajs-3916	134	133	this	this	DET
iajs-3916	134	134	work	work	NOUN
iajs-3916	134	135	implemented	implement	VERB
iajs-3916	134	136	models	model	NOUN
iajs-3916	134	137	on	on	ADP
iajs-3916	134	138	the	the	DET
iajs-3916	134	139	tensorflow	tensorflow	NOUN
iajs-3916	134	140	platform	platform	NOUN
iajs-3916	134	141	[	[	X
iajs-3916	134	142	31	31	NUM
iajs-3916	134	143	]	]	PUNCT
iajs-3916	134	144	.	.	PUNCT
iajs-3916	135	1	this	this	DET
iajs-3916	135	2	strategy	strategy	NOUN
iajs-3916	135	3	typically	typically	ADV
iajs-3916	135	4	yields	yield	VERB
iajs-3916	135	5	greater	great	ADJ
iajs-3916	135	6	prediction	prediction	NOUN
iajs-3916	135	7	accuracy	accuracy	NOUN
iajs-3916	135	8	compared	compare	VERB
iajs-3916	135	9	to	to	ADP
iajs-3916	135	10	the	the	DET
iajs-3916	135	11	conventional	conventional	ADJ
iajs-3916	135	12	approach	approach	NOUN
iajs-3916	135	13	of	of	ADP
iajs-3916	135	14	training	train	VERB
iajs-3916	135	15	the	the	DET
iajs-3916	135	16	neural	neural	ADJ
iajs-3916	135	17	network	network	NOUN
iajs-3916	135	18	(	(	PUNCT
iajs-3916	135	19	rnn	rnn	NOUN
iajs-3916	135	20	and	and	CCONJ
iajs-3916	135	21	gru	gru	PROPN
iajs-3916	135	22	)	)	PUNCT
iajs-3916	135	23	using	use	VERB
iajs-3916	135	24	the	the	DET
iajs-3916	135	25	entire	entire	ADJ
iajs-3916	135	26	dataset	dataset	NOUN
iajs-3916	135	27	(	(	PUNCT
iajs-3916	135	28	geolife	geolife	NOUN
iajs-3916	135	29	)	)	PUNCT
iajs-3916	135	30	.	.	PUNCT
iajs-3916	136	1	therefore	therefore	ADV
iajs-3916	136	2	,	,	PUNCT
iajs-3916	136	3	we	we	PRON
iajs-3916	136	4	employed	employ	VERB
iajs-3916	136	5	several	several	ADJ
iajs-3916	136	6	ihjpas	ihjpa	NOUN
iajs-3916	136	7	.	.	PUNCT
iajs-3916	137	1	2024	2024	NUM
iajs-3916	137	2	,	,	PUNCT
iajs-3916	137	3	37(4	37(4	NOUN
iajs-3916	137	4	)	)	PUNCT
iajs-3916	137	5	430	430	NUM
iajs-3916	137	6	libraries	library	NOUN
iajs-3916	137	7	to	to	PART
iajs-3916	137	8	reduce	reduce	VERB
iajs-3916	137	9	the	the	DET
iajs-3916	137	10	complexity	complexity	NOUN
iajs-3916	137	11	of	of	ADP
iajs-3916	137	12	constructing	construct	VERB
iajs-3916	137	13	the	the	DET
iajs-3916	137	14	anticipated	anticipated	ADJ
iajs-3916	137	15	neural	neural	ADJ
iajs-3916	137	16	network	network	NOUN
iajs-3916	137	17	.	.	PUNCT
iajs-3916	138	1	therefore	therefore	ADV
iajs-3916	138	2	,	,	PUNCT
iajs-3916	138	3	we	we	PRON
iajs-3916	138	4	utilize	utilize	VERB
iajs-3916	138	5	tensorflow	tensorflow	NOUN
iajs-3916	138	6	,	,	PUNCT
iajs-3916	138	7	keras	keras	PROPN
iajs-3916	138	8	,	,	PUNCT
iajs-3916	138	9	sklearn	sklearn	ADJ
iajs-3916	138	10	,	,	PUNCT
iajs-3916	138	11	numpy	numpy	NOUN
iajs-3916	138	12	,	,	PUNCT
iajs-3916	138	13	and	and	CCONJ
iajs-3916	138	14	pandas	panda	NOUN
iajs-3916	138	15	as	as	ADP
iajs-3916	138	16	the	the	DET
iajs-3916	138	17	most	most	ADV
iajs-3916	138	18	significant	significant	ADJ
iajs-3916	138	19	libraries	library	NOUN
iajs-3916	138	20	[	[	X
iajs-3916	138	21	11	11	NUM
iajs-3916	138	22	]	]	PUNCT
iajs-3916	138	23	.	.	PUNCT
iajs-3916	139	1	thus	thus	ADV
iajs-3916	139	2	,	,	PUNCT
iajs-3916	139	3	in	in	ADP
iajs-3916	139	4	order	order	NOUN
iajs-3916	139	5	to	to	PART
iajs-3916	139	6	optimize	optimize	VERB
iajs-3916	139	7	the	the	DET
iajs-3916	139	8	proposed	propose	VERB
iajs-3916	139	9	model	model	NOUN
iajs-3916	139	10	,	,	PUNCT
iajs-3916	139	11	various	various	ADJ
iajs-3916	139	12	settings	setting	NOUN
iajs-3916	139	13	need	need	VERB
iajs-3916	139	14	to	to	PART
iajs-3916	139	15	be	be	AUX
iajs-3916	139	16	defined	define	VERB
iajs-3916	139	17	.	.	PUNCT
iajs-3916	140	1	some	some	PRON
iajs-3916	140	2	of	of	ADP
iajs-3916	140	3	these	these	DET
iajs-3916	140	4	settings	setting	NOUN
iajs-3916	140	5	are	be	AUX
iajs-3916	140	6	the	the	DET
iajs-3916	140	7	loss	loss	NOUN
iajs-3916	140	8	function	function	NOUN
iajs-3916	140	9	that	that	SCONJ
iajs-3916	140	10	mse	mse	PROPN
iajs-3916	140	11	uses	use	VERB
iajs-3916	140	12	;	;	PUNCT
iajs-3916	140	13	the	the	DET
iajs-3916	140	14	activation	activation	NOUN
iajs-3916	140	15	function	function	NOUN
iajs-3916	140	16	called	call	VERB
iajs-3916	140	17	the	the	DET
iajs-3916	140	18	rectified	rectified	ADJ
iajs-3916	140	19	linear	linear	NOUN
iajs-3916	140	20	unit	unit	NOUN
iajs-3916	140	21	(	(	PUNCT
iajs-3916	140	22	relu	relu	NOUN
iajs-3916	140	23	)	)	PUNCT
iajs-3916	140	24	,	,	PUNCT
iajs-3916	140	25	which	which	PRON
iajs-3916	140	26	is	be	AUX
iajs-3916	140	27	the	the	DET
iajs-3916	140	28	identity	identity	NOUN
iajs-3916	140	29	function	function	NOUN
iajs-3916	140	30	for	for	ADP
iajs-3916	140	31	positive	positive	ADJ
iajs-3916	140	32	input	input	NOUN
iajs-3916	140	33	and	and	CCONJ
iajs-3916	140	34	zero	zero	NUM
iajs-3916	140	35	for	for	ADP
iajs-3916	140	36	negative	negative	ADJ
iajs-3916	140	37	input	input	NOUN
iajs-3916	140	38	[	[	X
iajs-3916	140	39	32	32	NUM
iajs-3916	140	40	]	]	PUNCT
iajs-3916	140	41	,	,	PUNCT
iajs-3916	140	42	and	and	CCONJ
iajs-3916	140	43	the	the	DET
iajs-3916	140	44	adaptive	adaptive	ADJ
iajs-3916	140	45	optimization	optimization	NOUN
iajs-3916	140	46	technique	technique	NOUN
iajs-3916	140	47	adaptive	adaptive	ADJ
iajs-3916	140	48	moment	moment	NOUN
iajs-3916	140	49	estimation	estimation	NOUN
iajs-3916	140	50	(	(	PUNCT
iajs-3916	140	51	adam	adam	PROPN
iajs-3916	140	52	)	)	PUNCT
iajs-3916	141	1	[	[	X
iajs-3916	141	2	32	32	NUM
iajs-3916	141	3	]	]	PUNCT
iajs-3916	141	4	.	.	PUNCT
iajs-3916	142	1	adam	adam	PROPN
iajs-3916	142	2	is	be	AUX
iajs-3916	142	3	a	a	DET
iajs-3916	142	4	very	very	ADV
iajs-3916	142	5	good	good	ADJ
iajs-3916	142	6	adaptive	adaptive	ADJ
iajs-3916	142	7	optimization	optimization	NOUN
iajs-3916	142	8	algorithm	algorithm	NOUN
iajs-3916	142	9	that	that	PRON
iajs-3916	142	10	is	be	AUX
iajs-3916	142	11	often	often	ADV
iajs-3916	142	12	used	use	VERB
iajs-3916	142	13	instead	instead	ADV
iajs-3916	142	14	of	of	ADP
iajs-3916	142	15	the	the	DET
iajs-3916	142	16	traditional	traditional	ADJ
iajs-3916	142	17	stochastic	stochastic	ADJ
iajs-3916	142	18	gradient	gradient	NOUN
iajs-3916	142	19	reduction	reduction	NOUN
iajs-3916	142	20	technique	technique	NOUN
iajs-3916	142	21	[	[	X
iajs-3916	142	22	29	29	NUM
iajs-3916	142	23	]	]	PUNCT
iajs-3916	142	24	.	.	PUNCT
iajs-3916	143	1	table	table	NOUN
iajs-3916	143	2	1	1	NUM
iajs-3916	143	3	.	.	PUNCT
iajs-3916	143	4	shows	show	VERB
iajs-3916	143	5	the	the	DET
iajs-3916	143	6	hyperparameters	hyperparameter	NOUN
iajs-3916	143	7	of	of	ADP
iajs-3916	143	8	the	the	DET
iajs-3916	143	9	proposed	propose	VERB
iajs-3916	143	10	models	model	NOUN
iajs-3916	143	11	.	.	PUNCT
iajs-3916	144	1	table	table	NOUN
iajs-3916	144	2	1	1	NUM
iajs-3916	144	3	.	.	PUNCT
iajs-3916	145	1	the	the	DET
iajs-3916	145	2	hyperparameters	hyperparameter	NOUN
iajs-3916	145	3	of	of	ADP
iajs-3916	145	4	the	the	DET
iajs-3916	145	5	proposed	propose	VERB
iajs-3916	145	6	models	model	NOUN
iajs-3916	145	7	epoch	epoch	NOUN
iajs-3916	145	8	batch	batch	NOUN
iajs-3916	145	9	size	size	NOUN
iajs-3916	145	10	iteration	iteration	NOUN
iajs-3916	145	11	size	size	NOUN
iajs-3916	145	12	optimization	optimization	NOUN
iajs-3916	145	13	algorithm	algorithm	NOUN
iajs-3916	145	14	loss	loss	NOUN
iajs-3916	145	15	function	function	NOUN
iajs-3916	145	16	number	number	NOUN
iajs-3916	145	17	of	of	ADP
iajs-3916	145	18	layers	layer	NOUN
iajs-3916	145	19	number	number	NOUN
iajs-3916	145	20	of	of	ADP
iajs-3916	145	21	neurons	neuron	NOUN
iajs-3916	145	22	activation	activation	NOUN
iajs-3916	145	23	function	function	VERB
iajs-3916	145	24	30	30	NUM
iajs-3916	145	25	64	64	NUM
iajs-3916	145	26	21612	21612	NUM
iajs-3916	145	27	adam	adam	PROPN
iajs-3916	145	28	mse	mse	PROPN
iajs-3916	145	29	3	3	NUM
iajs-3916	145	30	152	152	NUM
iajs-3916	145	31	relu	relu	NOUN
iajs-3916	145	32	the	the	DET
iajs-3916	145	33	goal	goal	NOUN
iajs-3916	145	34	of	of	ADP
iajs-3916	145	35	this	this	DET
iajs-3916	145	36	work	work	NOUN
iajs-3916	145	37	is	be	AUX
iajs-3916	145	38	to	to	PART
iajs-3916	145	39	apply	apply	VERB
iajs-3916	145	40	the	the	DET
iajs-3916	145	41	proposed	propose	VERB
iajs-3916	145	42	model	model	NOUN
iajs-3916	145	43	network	network	NOUN
iajs-3916	145	44	to	to	PART
iajs-3916	145	45	predict	predict	VERB
iajs-3916	145	46	individuals	individual	NOUN
iajs-3916	145	47	'	'	PART
iajs-3916	145	48	next	next	ADJ
iajs-3916	145	49	location	location	NOUN
iajs-3916	145	50	path	path	NOUN
iajs-3916	145	51	.	.	PUNCT
iajs-3916	146	1	dl	dl	PROPN
iajs-3916	146	2	was	be	AUX
iajs-3916	146	3	implemented	implement	VERB
iajs-3916	146	4	in	in	ADP
iajs-3916	146	5	the	the	DET
iajs-3916	146	6	lenovo	lenovo	PROPN
iajs-3916	146	7	system	system	NOUN
iajs-3916	146	8	,	,	PUNCT
iajs-3916	146	9	consisting	consist	VERB
iajs-3916	146	10	of	of	ADP
iajs-3916	146	11	an	an	DET
iajs-3916	146	12	intel(r	intel(r	NOUN
iajs-3916	146	13	)	)	PUNCT
iajs-3916	146	14	coretm	coretm	NOUN
iajs-3916	146	15	,	,	PUNCT
iajs-3916	146	16	an	an	DET
iajs-3916	146	17	i5	i5	NOUN
iajs-3916	146	18	-	-	PUNCT
iajs-3916	146	19	8250u	8250u	NUM
iajs-3916	146	20	gen	gen	NOUN
iajs-3916	146	21	processor	processor	NOUN
iajs-3916	146	22	@	@	ADP
iajs-3916	146	23	1.60	1.60	NUM
iajs-3916	146	24	ghz	ghz	NOUN
iajs-3916	146	25	and	and	CCONJ
iajs-3916	146	26	1.80	1.80	NUM
iajs-3916	146	27	ghz	ghz	NOUN
iajs-3916	146	28	,	,	PUNCT
iajs-3916	146	29	and	and	CCONJ
iajs-3916	146	30	16	16	NUM
iajs-3916	146	31	gb	gb	NOUN
iajs-3916	146	32	of	of	ADP
iajs-3916	146	33	ram	ram	NOUN
iajs-3916	146	34	.	.	PUNCT
iajs-3916	147	1	the	the	DET
iajs-3916	147	2	system	system	NOUN
iajs-3916	147	3	runs	run	VERB
iajs-3916	147	4	on	on	ADP
iajs-3916	147	5	the	the	DET
iajs-3916	147	6	windows	window	NOUN
iajs-3916	147	7	10	10	NUM
iajs-3916	147	8	pro	pro	ADJ
iajs-3916	147	9	64	64	NUM
iajs-3916	147	10	-	-	PUNCT
iajs-3916	147	11	bit	bit	NOUN
iajs-3916	147	12	operating	operate	VERB
iajs-3916	147	13	system	system	NOUN
iajs-3916	147	14	.	.	PUNCT
iajs-3916	148	1	we	we	PRON
iajs-3916	148	2	perform	perform	VERB
iajs-3916	148	3	the	the	DET
iajs-3916	148	4	experiments	experiment	NOUN
iajs-3916	148	5	using	use	VERB
iajs-3916	148	6	the	the	DET
iajs-3916	148	7	tensorflow	tensorflow	NOUN
iajs-3916	148	8	deep	deep	ADJ
iajs-3916	148	9	learning	learning	NOUN
iajs-3916	148	10	package	package	NOUN
iajs-3916	148	11	within	within	ADP
iajs-3916	148	12	the	the	DET
iajs-3916	148	13	jupyter	jupyter	PROPN
iajs-3916	148	14	notebook	notebook	NOUN
iajs-3916	148	15	environment	environment	NOUN
iajs-3916	148	16	.	.	PUNCT
iajs-3916	149	1	we	we	PRON
iajs-3916	149	2	employed	employ	VERB
iajs-3916	149	3	various	various	ADJ
iajs-3916	149	4	methodologies	methodology	NOUN
iajs-3916	149	5	on	on	ADP
iajs-3916	149	6	the	the	DET
iajs-3916	149	7	dl	dl	PROPN
iajs-3916	149	8	models	model	NOUN
iajs-3916	149	9	,	,	PUNCT
iajs-3916	149	10	including	include	VERB
iajs-3916	149	11	early	early	ADJ
iajs-3916	149	12	stopping	stopping	NOUN
iajs-3916	149	13	,	,	PUNCT
iajs-3916	149	14	to	to	PART
iajs-3916	149	15	enhance	enhance	VERB
iajs-3916	149	16	the	the	DET
iajs-3916	149	17	model	model	NOUN
iajs-3916	149	18	's	's	PART
iajs-3916	149	19	accuracy	accuracy	NOUN
iajs-3916	149	20	.	.	PUNCT
iajs-3916	150	1	the	the	DET
iajs-3916	150	2	primary	primary	ADJ
iajs-3916	150	3	objective	objective	NOUN
iajs-3916	150	4	during	during	ADP
iajs-3916	150	5	model	model	NOUN
iajs-3916	150	6	training	training	NOUN
iajs-3916	150	7	is	be	AUX
iajs-3916	150	8	to	to	PART
iajs-3916	150	9	minimize	minimize	VERB
iajs-3916	150	10	the	the	DET
iajs-3916	150	11	loss	loss	NOUN
iajs-3916	150	12	function	function	NOUN
iajs-3916	150	13	,	,	PUNCT
iajs-3916	150	14	namely	namely	ADV
iajs-3916	150	15	mse	mse	NOUN
iajs-3916	150	16	.	.	PUNCT
iajs-3916	151	1	when	when	SCONJ
iajs-3916	151	2	the	the	DET
iajs-3916	151	3	monitored	monitored	ADJ
iajs-3916	151	4	parameter	parameter	NOUN
iajs-3916	151	5	fails	fail	VERB
iajs-3916	151	6	to	to	PART
iajs-3916	151	7	show	show	VERB
iajs-3916	151	8	improvement	improvement	NOUN
iajs-3916	151	9	,	,	PUNCT
iajs-3916	151	10	we	we	PRON
iajs-3916	151	11	use	use	VERB
iajs-3916	151	12	the	the	DET
iajs-3916	151	13	early	early	ADJ
iajs-3916	151	14	stopping	stopping	NOUN
iajs-3916	151	15	technique	technique	NOUN
iajs-3916	151	16	to	to	PART
iajs-3916	151	17	terminate	terminate	VERB
iajs-3916	151	18	the	the	DET
iajs-3916	151	19	training	training	NOUN
iajs-3916	151	20	process	process	NOUN
iajs-3916	151	21	[	[	X
iajs-3916	151	22	9	9	NUM
iajs-3916	151	23	]	]	PUNCT
iajs-3916	151	24	.	.	PUNCT
iajs-3916	152	1	consequently	consequently	ADV
iajs-3916	152	2	,	,	PUNCT
iajs-3916	152	3	the	the	DET
iajs-3916	152	4	early	early	ADJ
iajs-3916	152	5	stopping	stopping	NOUN
iajs-3916	152	6	technique	technique	NOUN
iajs-3916	152	7	could	could	AUX
iajs-3916	152	8	have	have	AUX
iajs-3916	152	9	been	be	AUX
iajs-3916	152	10	more	more	ADV
iajs-3916	152	11	effective	effective	ADJ
iajs-3916	152	12	in	in	ADP
iajs-3916	152	13	consuming	consume	VERB
iajs-3916	152	14	the	the	DET
iajs-3916	152	15	required	require	VERB
iajs-3916	152	16	epoch	epoch	NOUN
iajs-3916	152	17	training	training	NOUN
iajs-3916	152	18	time	time	NOUN
iajs-3916	152	19	.	.	PUNCT
iajs-3916	153	1	at	at	ADP
iajs-3916	153	2	the	the	DET
iajs-3916	153	3	end	end	NOUN
iajs-3916	153	4	of	of	ADP
iajs-3916	153	5	each	each	DET
iajs-3916	153	6	epoch	epoch	NOUN
iajs-3916	153	7	,	,	PUNCT
iajs-3916	153	8	the	the	DET
iajs-3916	153	9	metric	metric	ADJ
iajs-3916	153	10	undergoes	undergoe	NOUN
iajs-3916	153	11	evaluation	evaluation	NOUN
iajs-3916	153	12	.	.	PUNCT
iajs-3916	154	1	this	this	DET
iajs-3916	154	2	technique	technique	NOUN
iajs-3916	154	3	gives	give	VERB
iajs-3916	154	4	the	the	DET
iajs-3916	154	5	best	good	ADJ
iajs-3916	154	6	result	result	NOUN
iajs-3916	154	7	for	for	ADP
iajs-3916	154	8	the	the	DET
iajs-3916	154	9	model	model	NOUN
iajs-3916	154	10	[	[	X
iajs-3916	154	11	31	31	NUM
iajs-3916	154	12	]	]	PUNCT
iajs-3916	154	13	.	.	PUNCT
iajs-3916	155	1	for	for	ADP
iajs-3916	155	2	all	all	DET
iajs-3916	155	3	users	user	NOUN
iajs-3916	155	4	,	,	PUNCT
iajs-3916	155	5	the	the	DET
iajs-3916	155	6	work	work	NOUN
iajs-3916	155	7	splits	split	VERB
iajs-3916	155	8	the	the	DET
iajs-3916	155	9	trajectories	trajectory	NOUN
iajs-3916	155	10	into	into	ADP
iajs-3916	155	11	a	a	DET
iajs-3916	155	12	training	training	NOUN
iajs-3916	155	13	set	set	NOUN
iajs-3916	155	14	and	and	CCONJ
iajs-3916	155	15	a	a	DET
iajs-3916	155	16	test	test	NOUN
iajs-3916	155	17	set	set	NOUN
iajs-3916	155	18	.	.	PUNCT
iajs-3916	156	1	all	all	DET
iajs-3916	156	2	sets	set	NOUN
iajs-3916	156	3	include	include	VERB
iajs-3916	156	4	multiple	multiple	ADJ
iajs-3916	156	5	user	user	NOUN
iajs-3916	156	6	trajectories	trajectory	NOUN
iajs-3916	156	7	.	.	PUNCT
iajs-3916	157	1	split	split	VERB
iajs-3916	157	2	the	the	DET
iajs-3916	157	3	trajectory	trajectory	NOUN
iajs-3916	157	4	randomness	randomness	NOUN
iajs-3916	157	5	for	for	ADP
iajs-3916	157	6	each	each	DET
iajs-3916	157	7	user	user	NOUN
iajs-3916	157	8	,	,	PUNCT
iajs-3916	157	9	putting	put	VERB
iajs-3916	157	10	the	the	DET
iajs-3916	157	11	first	first	ADJ
iajs-3916	157	12	80	80	NUM
iajs-3916	157	13	%	%	NOUN
iajs-3916	157	14	in	in	ADP
iajs-3916	157	15	the	the	DET
iajs-3916	157	16	training	training	NOUN
iajs-3916	157	17	set	set	NOUN
iajs-3916	157	18	and	and	CCONJ
iajs-3916	157	19	the	the	DET
iajs-3916	157	20	following	follow	VERB
iajs-3916	157	21	20	20	NUM
iajs-3916	157	22	%	%	NOUN
iajs-3916	157	23	in	in	ADP
iajs-3916	157	24	the	the	DET
iajs-3916	157	25	testing	testing	NOUN
iajs-3916	157	26	set	set	NOUN
iajs-3916	157	27	.	.	PUNCT
iajs-3916	158	1	then	then	ADV
iajs-3916	158	2	,	,	PUNCT
iajs-3916	158	3	using	use	VERB
iajs-3916	158	4	this	this	DET
iajs-3916	158	5	data	datum	NOUN
iajs-3916	158	6	,	,	PUNCT
iajs-3916	158	7	we	we	PRON
iajs-3916	158	8	detect	detect	VERB
iajs-3916	158	9	the	the	DET
iajs-3916	158	10	user	user	NOUN
iajs-3916	158	11	's	's	PART
iajs-3916	158	12	path	path	NOUN
iajs-3916	158	13	and	and	CCONJ
iajs-3916	158	14	trajectory	trajectory	NOUN
iajs-3916	158	15	.	.	PUNCT
iajs-3916	159	1	figure	figure	NOUN
iajs-3916	159	2	4	4	NUM
iajs-3916	159	3	displays	display	VERB
iajs-3916	159	4	the	the	DET
iajs-3916	159	5	actual	actual	ADJ
iajs-3916	159	6	trajectory	trajectory	NOUN
iajs-3916	159	7	path	path	NOUN
iajs-3916	159	8	and	and	CCONJ
iajs-3916	159	9	the	the	DET
iajs-3916	159	10	predicted	predict	VERB
iajs-3916	159	11	trajectory	trajectory	NOUN
iajs-3916	159	12	path	path	NOUN
iajs-3916	159	13	,	,	PUNCT
iajs-3916	159	14	both	both	PRON
iajs-3916	159	15	of	of	ADP
iajs-3916	159	16	which	which	PRON
iajs-3916	159	17	closely	closely	ADV
iajs-3916	159	18	match	match	VERB
iajs-3916	159	19	the	the	DET
iajs-3916	159	20	actual	actual	ADJ
iajs-3916	159	21	path	path	NOUN
iajs-3916	159	22	.	.	PUNCT
iajs-3916	160	1	(	(	PUNCT
iajs-3916	160	2	a	a	X
iajs-3916	160	3	)	)	PUNCT
iajs-3916	160	4	(	(	PUNCT
iajs-3916	160	5	b	b	X
iajs-3916	160	6	)	)	PUNCT
iajs-3916	160	7	figure	figure	NOUN
iajs-3916	160	8	4	4	NUM
iajs-3916	160	9	.	.	PUNCT
iajs-3916	161	1	the	the	DET
iajs-3916	161	2	actuals	actual	NOUN
iajs-3916	161	3	and	and	CCONJ
iajs-3916	161	4	the	the	DET
iajs-3916	161	5	prediction	prediction	NOUN
iajs-3916	161	6	path	path	NOUN
iajs-3916	161	7	(	(	PUNCT
iajs-3916	161	8	a)1st	a)1st	NOUN
iajs-3916	161	9	model(rnn)(b)2nd	model(rnn)(b)2nd	PROPN
iajs-3916	161	10	model(gru	model(gru	PROPN
iajs-3916	161	11	)	)	PUNCT
iajs-3916	162	1	so	so	ADV
iajs-3916	162	2	,	,	PUNCT
iajs-3916	162	3	the	the	DET
iajs-3916	162	4	proposed	propose	VERB
iajs-3916	162	5	models	model	NOUN
iajs-3916	162	6	can	can	AUX
iajs-3916	162	7	be	be	AUX
iajs-3916	162	8	improved	improve	VERB
iajs-3916	162	9	to	to	PART
iajs-3916	162	10	predict	predict	VERB
iajs-3916	162	11	the	the	DET
iajs-3916	162	12	next	next	ADJ
iajs-3916	162	13	location	location	NOUN
iajs-3916	162	14	path	path	NOUN
iajs-3916	162	15	.	.	PUNCT
iajs-3916	163	1	in	in	ADP
iajs-3916	163	2	the	the	DET
iajs-3916	163	3	final	final	ADJ
iajs-3916	163	4	phase	phase	NOUN
iajs-3916	163	5	,	,	PUNCT
iajs-3916	163	6	the	the	DET
iajs-3916	163	7	prediction	prediction	NOUN
iajs-3916	163	8	model	model	NOUN
iajs-3916	163	9	was	be	AUX
iajs-3916	163	10	evaluated	evaluate	VERB
iajs-3916	163	11	using	use	VERB
iajs-3916	163	12	an	an	DET
iajs-3916	163	13	evaluation	evaluation	NOUN
iajs-3916	163	14	score	score	NOUN
iajs-3916	163	15	for	for	ADP
iajs-3916	163	16	the	the	DET
iajs-3916	163	17	loss	loss	NOUN
iajs-3916	163	18	function	function	NOUN
iajs-3916	163	19	,	,	PUNCT
iajs-3916	163	20	i.e.	i.e.	X
iajs-3916	163	21	,	,	PUNCT
iajs-3916	163	22	mse	mse	PROPN
iajs-3916	163	23	,	,	PUNCT
iajs-3916	163	24	which	which	PRON
iajs-3916	163	25	is	be	AUX
iajs-3916	163	26	a	a	DET
iajs-3916	163	27	statistical	statistical	ADJ
iajs-3916	163	28	measure	measure	NOUN
iajs-3916	163	29	that	that	PRON
iajs-3916	163	30	quantifies	quantify	VERB
iajs-3916	163	31	the	the	DET
iajs-3916	163	32	average	average	ADJ
iajs-3916	163	33	difference	difference	NOUN
iajs-3916	163	34	between	between	ADP
iajs-3916	163	35	the	the	DET
iajs-3916	163	36	predicted	predict	VERB
iajs-3916	163	37	values	value	NOUN
iajs-3916	163	38	and	and	CCONJ
iajs-3916	163	39	the	the	DET
iajs-3916	163	40	actual	actual	ADJ
iajs-3916	163	41	values	value	NOUN
iajs-3916	163	42	in	in	ADP
iajs-3916	163	43	a	a	DET
iajs-3916	163	44	dataset	dataset	NOUN
iajs-3916	163	45	.	.	PUNCT
iajs-3916	164	1	the	the	DET
iajs-3916	164	2	quantity	quantity	NOUN
iajs-3916	164	3	being	be	AUX
iajs-3916	164	4	referred	refer	VERB
iajs-3916	164	5	to	to	ADP
iajs-3916	164	6	is	be	AUX
iajs-3916	164	7	the	the	DET
iajs-3916	164	8	standard	standard	ADJ
iajs-3916	164	9	deviation	deviation	NOUN
iajs-3916	164	10	of	of	ADP
iajs-3916	164	11	the	the	DET
iajs-3916	164	12	ihjpas	ihjpa	NOUN
iajs-3916	164	13	.	.	PUNCT
iajs-3916	165	1	2024	2024	NUM
iajs-3916	165	2	,	,	PUNCT
iajs-3916	165	3	37(4	37(4	NOUN
iajs-3916	165	4	)	)	PUNCT
iajs-3916	165	5	431	431	NUM
iajs-3916	165	6	projected	project	VERB
iajs-3916	165	7	errors	error	NOUN
iajs-3916	165	8	.	.	PUNCT
iajs-3916	166	1	the	the	DET
iajs-3916	166	2	concentration	concentration	NOUN
iajs-3916	166	3	of	of	ADP
iajs-3916	166	4	information	information	NOUN
iajs-3916	166	5	on	on	ADP
iajs-3916	166	6	the	the	DET
iajs-3916	166	7	best	good	ADJ
iajs-3916	166	8	-	-	PUNCT
iajs-3916	166	9	fit	fit	ADJ
iajs-3916	166	10	line	line	NOUN
iajs-3916	166	11	is	be	AUX
iajs-3916	166	12	determined	determine	VERB
iajs-3916	166	13	by	by	ADP
iajs-3916	166	14	this	this	DET
iajs-3916	166	15	factor	factor	NOUN
iajs-3916	166	16	,	,	PUNCT
iajs-3916	166	17	which	which	PRON
iajs-3916	166	18	is	be	AUX
iajs-3916	166	19	defined	define	VERB
iajs-3916	166	20	in	in	ADP
iajs-3916	166	21	equation	equation	NOUN
iajs-3916	166	22	(	(	PUNCT
iajs-3916	166	23	7	7	X
iajs-3916	166	24	)	)	PUNCT
iajs-3916	166	25	𝑀𝑆𝐸	𝑀𝑆𝐸	NOUN
iajs-3916	166	26	1	1	NUM
iajs-3916	166	27	𝑚	𝑚	NOUN
iajs-3916	166	28	∑	∑	NOUN
iajs-3916	166	29	 	 	SPACE
iajs-3916	166	30	𝑛	𝑛	PRON
iajs-3916	166	31	𝑖=1	𝑖=1	PROPN
iajs-3916	166	32	  	  	SPACE
iajs-3916	166	33	(	(	PUNCT
iajs-3916	166	34	𝑦𝑖	𝑦𝑖	PROPN
iajs-3916	166	35	−	−	PROPN
iajs-3916	166	36	�	�	PROPN
iajs-3916	166	37	̀	̀	NOUN
iajs-3916	166	38	�	�	NOUN
iajs-3916	166	39	𝑖)2	𝑖)2	PROPN
iajs-3916	166	40	(	(	PUNCT
iajs-3916	166	41	7	7	NUM
iajs-3916	166	42	)	)	PUNCT
iajs-3916	166	43	root	root	NOUN
iajs-3916	166	44	mean	mean	NOUN
iajs-3916	166	45	square	square	NOUN
iajs-3916	166	46	error	error	NOUN
iajs-3916	166	47	(	(	PUNCT
iajs-3916	166	48	rmse	rmse	NOUN
iajs-3916	166	49	)	)	PUNCT
iajs-3916	166	50	refers	refer	VERB
iajs-3916	166	51	to	to	ADP
iajs-3916	166	52	the	the	DET
iajs-3916	166	53	standard	standard	ADJ
iajs-3916	166	54	deviation	deviation	NOUN
iajs-3916	166	55	of	of	ADP
iajs-3916	166	56	the	the	DET
iajs-3916	166	57	predicted	predict	VERB
iajs-3916	166	58	errors	error	NOUN
iajs-3916	166	59	,	,	PUNCT
iajs-3916	166	60	as	as	SCONJ
iajs-3916	166	61	shown	show	VERB
iajs-3916	166	62	in	in	ADP
iajs-3916	166	63	equation	equation	NOUN
iajs-3916	166	64	8	8	NUM
iajs-3916	167	1	[	[	X
iajs-3916	167	2	33	33	NUM
iajs-3916	167	3	]	]	PUNCT
iajs-3916	167	4	.	.	PUNCT
iajs-3916	168	1	𝑅𝑀𝑆𝐸	𝑅𝑀𝑆𝐸	NOUN
iajs-3916	168	2	=	=	SYM
iajs-3916	168	3	√𝑀𝑆𝐸	√𝑀𝑆𝐸	X
iajs-3916	168	4	(	(	PUNCT
iajs-3916	168	5	8)	8)	NUM
iajs-3916	168	6	mean	mean	VERB
iajs-3916	168	7	absolute	absolute	ADJ
iajs-3916	168	8	error	error	NOUN
iajs-3916	168	9	(	(	PUNCT
iajs-3916	168	10	mae	mae	PROPN
iajs-3916	168	11	)	)	PUNCT
iajs-3916	168	12	is	be	AUX
iajs-3916	168	13	calculated	calculate	VERB
iajs-3916	168	14	as	as	ADP
iajs-3916	168	15	the	the	DET
iajs-3916	168	16	average	average	NOUN
iajs-3916	168	17	of	of	ADP
iajs-3916	168	18	the	the	DET
iajs-3916	168	19	absolute	absolute	ADJ
iajs-3916	168	20	differences	difference	NOUN
iajs-3916	168	21	between	between	ADP
iajs-3916	168	22	the	the	DET
iajs-3916	168	23	actual	actual	ADJ
iajs-3916	168	24	values	value	NOUN
iajs-3916	168	25	and	and	CCONJ
iajs-3916	168	26	the	the	DET
iajs-3916	168	27	anticipated	anticipated	ADJ
iajs-3916	168	28	values	value	NOUN
iajs-3916	168	29	.	.	PUNCT
iajs-3916	169	1	it	it	PRON
iajs-3916	169	2	denotes	denote	VERB
iajs-3916	169	3	the	the	DET
iajs-3916	169	4	mean	mean	ADJ
iajs-3916	169	5	significance	significance	NOUN
iajs-3916	169	6	of	of	ADP
iajs-3916	169	7	the	the	DET
iajs-3916	169	8	errors	error	NOUN
iajs-3916	169	9	and	and	CCONJ
iajs-3916	169	10	is	be	AUX
iajs-3916	169	11	defined	define	VERB
iajs-3916	169	12	as	as	ADP
iajs-3916	169	13	in	in	ADP
iajs-3916	169	14	equation	equation	NOUN
iajs-3916	169	15	9[20	9[20	NUM
iajs-3916	169	16	]	]	PUNCT
iajs-3916	169	17	.	.	PUNCT
iajs-3916	170	1	𝑀𝐴𝐸	𝑀𝐴𝐸	NOUN
iajs-3916	170	2	1	1	NUM
iajs-3916	170	3	𝑚	𝑚	NOUN
iajs-3916	170	4	∑	∑	PART
iajs-3916	170	5	 	 	SPACE
iajs-3916	170	6	𝑛	𝑛	PRON
iajs-3916	170	7	𝑖=1	𝑖=1	PROPN
iajs-3916	170	8	|𝑦𝑖	|𝑦𝑖	NUM
iajs-3916	170	9	−	−	PROPN
iajs-3916	170	10	�	�	PROPN
iajs-3916	170	11	̀	̀	NOUN
iajs-3916	170	12	�	�	NOUN
iajs-3916	170	13	𝑖|	𝑖|	PROPN
iajs-3916	170	14	(	(	PUNCT
iajs-3916	170	15	9	9	NUM
iajs-3916	170	16	)	)	PUNCT
iajs-3916	170	17	where	where	SCONJ
iajs-3916	170	18	𝑦𝑖	𝑦𝑖	PROPN
iajs-3916	170	19	is	be	AUX
iajs-3916	170	20	the	the	DET
iajs-3916	170	21	actual	actual	ADJ
iajs-3916	170	22	value	value	NOUN
iajs-3916	170	23	,	,	PUNCT
iajs-3916	170	24	�	�	PROPN
iajs-3916	170	25	̀	̀	NOUN
iajs-3916	170	26	�	�	NOUN
iajs-3916	170	27	𝑖	𝑖	NOUN
iajs-3916	170	28	is	be	AUX
iajs-3916	170	29	the	the	DET
iajs-3916	170	30	predicted	predict	VERB
iajs-3916	170	31	value	value	NOUN
iajs-3916	170	32	,	,	PUNCT
iajs-3916	170	33	and	and	CCONJ
iajs-3916	170	34	m	m	PROPN
iajs-3916	170	35	is	be	AUX
iajs-3916	170	36	the	the	DET
iajs-3916	170	37	total	total	ADJ
iajs-3916	170	38	number	number	NOUN
iajs-3916	170	39	of	of	ADP
iajs-3916	170	40	observations	observation	NOUN
iajs-3916	170	41	.	.	PUNCT
iajs-3916	171	1	mse	mse	PROPN
iajs-3916	171	2	,	,	PUNCT
iajs-3916	171	3	mae	mae	PROPN
iajs-3916	171	4	,	,	PUNCT
iajs-3916	171	5	and	and	CCONJ
iajs-3916	171	6	rmse	rmse	NOUN
iajs-3916	171	7	are	be	AUX
iajs-3916	171	8	suitable	suitable	ADJ
iajs-3916	171	9	measurements	measurement	NOUN
iajs-3916	171	10	for	for	ADP
iajs-3916	171	11	computing	compute	VERB
iajs-3916	171	12	prediction	prediction	NOUN
iajs-3916	171	13	sequential	sequential	ADJ
iajs-3916	171	14	model	model	NOUN
iajs-3916	171	15	accuracy	accuracy	NOUN
iajs-3916	171	16	and	and	CCONJ
iajs-3916	171	17	are	be	AUX
iajs-3916	171	18	the	the	DET
iajs-3916	171	19	main	main	ADJ
iajs-3916	171	20	criteria	criterion	NOUN
iajs-3916	171	21	for	for	ADP
iajs-3916	171	22	determining	determine	VERB
iajs-3916	171	23	whether	whether	SCONJ
iajs-3916	171	24	the	the	DET
iajs-3916	171	25	research	research	NOUN
iajs-3916	171	26	is	be	AUX
iajs-3916	171	27	regarding	regard	VERB
iajs-3916	171	28	the	the	DET
iajs-3916	171	29	prediction	prediction	NOUN
iajs-3916	171	30	model	model	NOUN
iajs-3916	171	31	[	[	X
iajs-3916	171	32	34	34	NUM
iajs-3916	171	33	]	]	PUNCT
iajs-3916	171	34	.	.	PUNCT
iajs-3916	172	1	all	all	DET
iajs-3916	172	2	those	those	DET
iajs-3916	172	3	measurements	measurement	NOUN
iajs-3916	172	4	fall	fall	VERB
iajs-3916	172	5	within	within	ADP
iajs-3916	172	6	the	the	DET
iajs-3916	172	7	optimal	optimal	ADJ
iajs-3916	172	8	range	range	NOUN
iajs-3916	172	9	,	,	PUNCT
iajs-3916	172	10	which	which	PRON
iajs-3916	172	11	is	be	AUX
iajs-3916	172	12	0	0	NUM
iajs-3916	172	13	.	.	PUNCT
iajs-3916	173	1	the	the	DET
iajs-3916	173	2	results	result	NOUN
iajs-3916	173	3	in	in	ADP
iajs-3916	173	4	table	table	NOUN
iajs-3916	173	5	2	2	NUM
iajs-3916	173	6	below	below	ADP
iajs-3916	173	7	clearly	clearly	ADV
iajs-3916	173	8	indicate	indicate	VERB
iajs-3916	173	9	that	that	SCONJ
iajs-3916	173	10	they	they	PRON
iajs-3916	173	11	are	be	AUX
iajs-3916	173	12	nearly	nearly	ADV
iajs-3916	173	13	perfect	perfect	ADJ
iajs-3916	173	14	.	.	PUNCT
iajs-3916	174	1	the	the	DET
iajs-3916	174	2	performance	performance	NOUN
iajs-3916	174	3	of	of	ADP
iajs-3916	174	4	the	the	DET
iajs-3916	174	5	suggested	suggest	VERB
iajs-3916	174	6	models	model	NOUN
iajs-3916	174	7	was	be	AUX
iajs-3916	174	8	evaluated	evaluate	VERB
iajs-3916	174	9	and	and	CCONJ
iajs-3916	174	10	compared	compare	VERB
iajs-3916	174	11	with	with	ADP
iajs-3916	174	12	the	the	DET
iajs-3916	174	13	work	work	NOUN
iajs-3916	174	14	of	of	ADP
iajs-3916	174	15	the	the	DET
iajs-3916	174	16	researcher	researcher	NOUN
iajs-3916	174	17	ida	ida	PROPN
iajs-3916	174	18	nurhaida	nurhaida	PROPN
iajs-3916	174	19	et	et	PROPN
iajs-3916	174	20	al	al	PROPN
iajs-3916	174	21	.	.	PUNCT
iajs-3916	175	1	[	[	X
iajs-3916	175	2	20	20	NUM
iajs-3916	175	3	]	]	PUNCT
iajs-3916	175	4	,	,	PUNCT
iajs-3916	175	5	as	as	ADV
iajs-3916	175	6	well	well	ADV
iajs-3916	175	7	as	as	ADP
iajs-3916	175	8	with	with	ADP
iajs-3916	175	9	two	two	NUM
iajs-3916	175	10	traditional	traditional	ADJ
iajs-3916	175	11	ml	ml	NOUN
iajs-3916	175	12	techniques	technique	NOUN
iajs-3916	175	13	,	,	PUNCT
iajs-3916	175	14	as	as	SCONJ
iajs-3916	175	15	follows	follow	VERB
iajs-3916	175	16	:	:	PUNCT
iajs-3916	175	17			X
iajs-3916	175	18	k	k	X
iajs-3916	175	19	-	-	PUNCT
iajs-3916	175	20	nearest	near	ADJ
iajs-3916	175	21	neighbors	neighbor	NOUN
iajs-3916	175	22	(	(	PUNCT
iajs-3916	175	23	k	k	X
iajs-3916	175	24	-	-	PUNCT
iajs-3916	175	25	nn	nn	NOUN
iajs-3916	175	26	)	)	PUNCT
iajs-3916	175	27	refers	refer	VERB
iajs-3916	175	28	to	to	ADP
iajs-3916	175	29	a	a	DET
iajs-3916	175	30	straightforward	straightforward	ADJ
iajs-3916	175	31	method	method	NOUN
iajs-3916	175	32	that	that	PRON
iajs-3916	175	33	has	have	AUX
iajs-3916	175	34	been	be	AUX
iajs-3916	175	35	successfully	successfully	ADV
iajs-3916	175	36	applied	apply	VERB
iajs-3916	175	37	in	in	ADP
iajs-3916	175	38	different	different	ADJ
iajs-3916	175	39	study	study	NOUN
iajs-3916	175	40	domains	domain	NOUN
iajs-3916	175	41	,	,	PUNCT
iajs-3916	175	42	including	include	VERB
iajs-3916	175	43	financial	financial	ADJ
iajs-3916	175	44	modeling	modeling	NOUN
iajs-3916	175	45	,	,	PUNCT
iajs-3916	175	46	image	image	NOUN
iajs-3916	175	47	interpolation	interpolation	NOUN
iajs-3916	175	48	,	,	PUNCT
iajs-3916	175	49	and	and	CCONJ
iajs-3916	175	50	visual	visual	ADJ
iajs-3916	175	51	recognition	recognition	NOUN
iajs-3916	175	52	,	,	PUNCT
iajs-3916	175	53	as	as	SCONJ
iajs-3916	175	54	shown	show	VERB
iajs-3916	175	55	in	in	ADP
iajs-3916	175	56	table	table	NOUN
iajs-3916	175	57	2	2	NUM
iajs-3916	175	58	;	;	PUNCT
iajs-3916	175	59	for	for	ADP
iajs-3916	175	60	more	more	ADJ
iajs-3916	175	61	details	detail	NOUN
iajs-3916	175	62	,	,	PUNCT
iajs-3916	175	63	see	see	VERB
iajs-3916	175	64	ref	ref	NOUN
iajs-3916	175	65	[	[	X
iajs-3916	175	66	35	35	NUM
iajs-3916	175	67	]	]	PUNCT
iajs-3916	175	68	.	.	PUNCT
iajs-3916	176	1			X
iajs-3916	176	2	random	random	ADJ
iajs-3916	176	3	forest	forest	NOUN
iajs-3916	176	4	regression	regression	NOUN
iajs-3916	176	5	modelling	modelling	NOUN
iajs-3916	176	6	(	(	PUNCT
iajs-3916	176	7	rfr	rfr	PROPN
iajs-3916	176	8	)	)	PUNCT
iajs-3916	176	9	refers	refer	VERB
iajs-3916	176	10	to	to	ADP
iajs-3916	176	11	a	a	DET
iajs-3916	176	12	regression	regression	NOUN
iajs-3916	176	13	technique	technique	NOUN
iajs-3916	176	14	that	that	PRON
iajs-3916	176	15	utilizes	utilize	VERB
iajs-3916	176	16	machine	machine	NOUN
iajs-3916	176	17	learning	learning	NOUN
iajs-3916	176	18	.	.	PUNCT
iajs-3916	177	1	the	the	DET
iajs-3916	177	2	basis	basis	NOUN
iajs-3916	177	3	of	of	ADP
iajs-3916	177	4	this	this	PRON
iajs-3916	177	5	is	be	AUX
iajs-3916	177	6	the	the	DET
iajs-3916	177	7	utilization	utilization	NOUN
iajs-3916	177	8	of	of	ADP
iajs-3916	177	9	bagging	bagging	NOUN
iajs-3916	177	10	and	and	CCONJ
iajs-3916	177	11	random	random	ADJ
iajs-3916	177	12	subspace	subspace	NOUN
iajs-3916	177	13	approaches	approach	NOUN
iajs-3916	177	14	;	;	PUNCT
iajs-3916	177	15	for	for	ADP
iajs-3916	177	16	more	more	ADJ
iajs-3916	177	17	details	detail	NOUN
iajs-3916	177	18	,	,	PUNCT
iajs-3916	177	19	see	see	VERB
iajs-3916	177	20	ref	ref	NOUN
iajs-3916	177	21	[	[	X
iajs-3916	177	22	36	36	NUM
iajs-3916	177	23	]	]	PUNCT
iajs-3916	177	24	.	.	PUNCT
iajs-3916	178	1	table	table	NOUN
iajs-3916	178	2	2	2	NUM
iajs-3916	178	3	.	.	PUNCT
iajs-3916	179	1	the	the	DET
iajs-3916	179	2	results	result	NOUN
iajs-3916	179	3	of	of	ADP
iajs-3916	179	4	the	the	DET
iajs-3916	179	5	evaluation	evaluation	NOUN
iajs-3916	179	6	metrics	metric	NOUN
iajs-3916	179	7	compared	compare	VERB
iajs-3916	179	8	with	with	ADP
iajs-3916	179	9	ref	ref	NOUN
iajs-3916	179	10	[	[	X
iajs-3916	179	11	20	20	NUM
iajs-3916	179	12	]	]	PUNCT
iajs-3916	179	13	and	and	CCONJ
iajs-3916	179	14	with	with	ADP
iajs-3916	179	15	two	two	NUM
iajs-3916	179	16	ml	ml	NOUN
iajs-3916	179	17	models	model	NOUN
iajs-3916	179	18	metrics	metric	NOUN
iajs-3916	179	19	proposed	propose	VERB
iajs-3916	179	20	models	model	NOUN
iajs-3916	179	21	ml	ml	ADP
iajs-3916	179	22	models	model	NOUN
iajs-3916	179	23	model	model	NOUN
iajs-3916	179	24	of	of	ADP
iajs-3916	179	25	study[20	study[20	X
iajs-3916	179	26	]	]	PUNCT
iajs-3916	179	27	1st	1st	ADJ
iajs-3916	179	28	model(rnn	model(rnn	PROPN
iajs-3916	179	29	)	)	PUNCT
iajs-3916	179	30	2nd	2nd	PROPN
iajs-3916	179	31	model(gur	model(gur	PROPN
iajs-3916	179	32	)	)	PUNCT
iajs-3916	179	33	k	k	PROPN
iajs-3916	179	34	-	-	PUNCT
iajs-3916	179	35	nn	nn	PROPN
iajs-3916	179	36	rfr	rfr	PROPN
iajs-3916	179	37	mse	mse	PROPN
iajs-3916	179	38	0.0005522080	0.0005522080	NUM
iajs-3916	179	39	0.0146721750	0.0146721750	NUM
iajs-3916	179	40	1.1349027058	1.1349027058	NUM
iajs-3916	179	41	4.53745228884	4.53745228884	NUM
iajs-3916	179	42	rmse	rmse	NOUN
iajs-3916	179	43	0.0234991064	0.0234991064	NUM
iajs-3916	179	44	0.1211287538	0.1211287538	NUM
iajs-3916	179	45	1.0653181242	1.0653181242	NUM
iajs-3916	179	46	2.1301296413	2.1301296413	NUM
iajs-3916	179	47	3.551	3.551	NUM
iajs-3916	179	48	mae	mae	PROPN
iajs-3916	179	49	0.9999998807	0.9999998807	NUM
iajs-3916	179	50	0.9999996423	0.9999996423	NUM
iajs-3916	179	51	3.69057880778	3.69057880778	NUM
iajs-3916	179	52	0.00046895485	0.00046895485	NUM
iajs-3916	179	53	the	the	DET
iajs-3916	179	54	findings	finding	NOUN
iajs-3916	179	55	in	in	ADP
iajs-3916	179	56	table	table	NOUN
iajs-3916	179	57	2	2	NUM
iajs-3916	179	58	and	and	CCONJ
iajs-3916	179	59	the	the	DET
iajs-3916	179	60	visualization	visualization	NOUN
iajs-3916	179	61	results	result	VERB
iajs-3916	179	62	in	in	ADP
iajs-3916	179	63	figure	figure	NOUN
iajs-3916	179	64	4	4	NUM
iajs-3916	179	65	explore	explore	VERB
iajs-3916	179	66	the	the	DET
iajs-3916	179	67	actual	actual	ADJ
iajs-3916	179	68	and	and	CCONJ
iajs-3916	179	69	predicted	predict	VERB
iajs-3916	179	70	path	path	NOUN
iajs-3916	179	71	trajectory	trajectory	NOUN
iajs-3916	179	72	,	,	PUNCT
iajs-3916	179	73	which	which	PRON
iajs-3916	179	74	is	be	AUX
iajs-3916	179	75	clearly	clearly	ADV
iajs-3916	179	76	close	close	ADJ
iajs-3916	179	77	to	to	ADP
iajs-3916	179	78	being	be	AUX
iajs-3916	179	79	ideal	ideal	ADJ
iajs-3916	179	80	.	.	PUNCT
iajs-3916	180	1	furthermore	furthermore	ADV
iajs-3916	180	2	,	,	PUNCT
iajs-3916	180	3	figures	figure	NOUN
iajs-3916	180	4	5	5	NUM
iajs-3916	180	5	and	and	CCONJ
iajs-3916	180	6	6	6	NUM
iajs-3916	180	7	delve	delve	VERB
iajs-3916	180	8	into	into	ADP
iajs-3916	180	9	the	the	DET
iajs-3916	180	10	evaluation	evaluation	NOUN
iajs-3916	180	11	metrics	metric	NOUN
iajs-3916	180	12	of	of	ADP
iajs-3916	180	13	each	each	DET
iajs-3916	180	14	model	model	NOUN
iajs-3916	180	15	,	,	PUNCT
iajs-3916	180	16	focusing	focus	VERB
iajs-3916	180	17	on	on	ADP
iajs-3916	180	18	each	each	DET
iajs-3916	180	19	epoch	epoch	NOUN
iajs-3916	180	20	specifically	specifically	ADV
iajs-3916	180	21	.	.	PUNCT
iajs-3916	181	1	this	this	PRON
iajs-3916	181	2	,	,	PUNCT
iajs-3916	181	3	in	in	ADP
iajs-3916	181	4	turn	turn	NOUN
iajs-3916	181	5	,	,	PUNCT
iajs-3916	181	6	confirmed	confirm	VERB
iajs-3916	181	7	the	the	DET
iajs-3916	181	8	accuracy	accuracy	NOUN
iajs-3916	181	9	of	of	ADP
iajs-3916	181	10	the	the	DET
iajs-3916	181	11	proposed	propose	VERB
iajs-3916	181	12	models	model	NOUN
iajs-3916	181	13	'	'	PART
iajs-3916	181	14	predictions	prediction	NOUN
iajs-3916	181	15	.	.	PUNCT
iajs-3916	182	1	the	the	DET
iajs-3916	182	2	indicator	indicator	NOUN
iajs-3916	182	3	's	's	PART
iajs-3916	182	4	constant	constant	ADJ
iajs-3916	182	5	drop	drop	NOUN
iajs-3916	182	6	in	in	ADP
iajs-3916	182	7	figures	figure	NOUN
iajs-3916	182	8	5	5	NUM
iajs-3916	182	9	and	and	CCONJ
iajs-3916	182	10	6	6	NUM
iajs-3916	182	11	demonstrates	demonstrate	VERB
iajs-3916	182	12	how	how	SCONJ
iajs-3916	182	13	strong	strong	ADJ
iajs-3916	182	14	and	and	CCONJ
iajs-3916	182	15	consistent	consistent	ADJ
iajs-3916	182	16	the	the	DET
iajs-3916	182	17	models	model	NOUN
iajs-3916	182	18	are	be	AUX
iajs-3916	182	19	.	.	PUNCT
iajs-3916	183	1	ihjpas	ihjpas	PROPN
iajs-3916	183	2	.	.	PUNCT
iajs-3916	184	1	2024	2024	NUM
iajs-3916	184	2	,	,	PUNCT
iajs-3916	184	3	37(4	37(4	NOUN
iajs-3916	184	4	)	)	PUNCT
iajs-3916	184	5	432	432	NUM
iajs-3916	184	6	(	(	PUNCT
iajs-3916	184	7	a	a	NOUN
iajs-3916	184	8	)	)	PUNCT
iajs-3916	184	9	(	(	PUNCT
iajs-3916	184	10	b	b	X
iajs-3916	184	11	)	)	PUNCT
iajs-3916	184	12	(	(	PUNCT
iajs-3916	184	13	c	c	X
iajs-3916	184	14	)	)	PUNCT
iajs-3916	184	15	(	(	PUNCT
iajs-3916	184	16	d	d	X
iajs-3916	184	17	)	)	PUNCT
iajs-3916	184	18	figure	figure	NOUN
iajs-3916	184	19	5	5	NUM
iajs-3916	184	20	.	.	PUNCT
iajs-3916	184	21	visualization	visualization	NOUN
iajs-3916	184	22	results	result	NOUN
iajs-3916	184	23	of	of	ADP
iajs-3916	184	24	the	the	DET
iajs-3916	184	25	1st	1st	ADJ
iajs-3916	184	26	proposed	propose	VERB
iajs-3916	184	27	model(rnn	model(rnn	NOUN
iajs-3916	184	28	)	)	PUNCT
iajs-3916	184	29	for	for	ADP
iajs-3916	184	30	evaluation	evaluation	NOUN
iajs-3916	184	31	metrics	metric	NOUN
iajs-3916	184	32	where	where	SCONJ
iajs-3916	184	33	(	(	PUNCT
iajs-3916	184	34	a	a	X
iajs-3916	184	35	)	)	PUNCT
iajs-3916	184	36	mae	mae	PROPN
iajs-3916	184	37	vs.	vs.	ADP
iajs-3916	184	38	epoch	epoch	NOUN
iajs-3916	184	39	,	,	PUNCT
iajs-3916	184	40	(	(	PUNCT
iajs-3916	184	41	b	b	X
iajs-3916	184	42	)	)	PUNCT
iajs-3916	184	43	loss	loss	NOUN
iajs-3916	184	44	vs.	vs.	ADP
iajs-3916	184	45	epoch	epoch	NOUN
iajs-3916	184	46	,	,	PUNCT
iajs-3916	184	47	(	(	PUNCT
iajs-3916	184	48	c	c	X
iajs-3916	184	49	)	)	PUNCT
iajs-3916	184	50	mape	mape	NOUN
iajs-3916	184	51	vs.	vs.	ADP
iajs-3916	184	52	epoch	epoch	NOUN
iajs-3916	184	53	,	,	PUNCT
iajs-3916	184	54	and	and	CCONJ
iajs-3916	184	55	(	(	PUNCT
iajs-3916	184	56	d)mse	d)mse	PROPN
iajs-3916	184	57	vs.	vs.	X
iajs-3916	184	58	epoch	epoch	NOUN
iajs-3916	184	59	(	(	PUNCT
iajs-3916	184	60	a	a	NOUN
iajs-3916	184	61	)	)	PUNCT
iajs-3916	184	62	(	(	PUNCT
iajs-3916	184	63	b	b	X
iajs-3916	184	64	)	)	PUNCT
iajs-3916	184	65	(	(	PUNCT
iajs-3916	184	66	c	c	X
iajs-3916	184	67	)	)	PUNCT
iajs-3916	184	68	(	(	PUNCT
iajs-3916	184	69	d	d	X
iajs-3916	184	70	)	)	PUNCT
iajs-3916	184	71	figure	figure	NOUN
iajs-3916	184	72	6	6	NUM
iajs-3916	184	73	.	.	PUNCT
iajs-3916	185	1	visualization	visualization	NOUN
iajs-3916	185	2	results	result	NOUN
iajs-3916	185	3	of	of	ADP
iajs-3916	185	4	the	the	DET
iajs-3916	185	5	2nd	2nd	ADJ
iajs-3916	185	6	proposed	propose	VERB
iajs-3916	185	7	model(gru	model(gru	NOUN
iajs-3916	185	8	)	)	PUNCT
iajs-3916	185	9	for	for	ADP
iajs-3916	185	10	evaluation	evaluation	NOUN
iajs-3916	185	11	metrics	metric	NOUN
iajs-3916	185	12	where	where	SCONJ
iajs-3916	185	13	(	(	PUNCT
iajs-3916	185	14	a	a	X
iajs-3916	185	15	)	)	PUNCT
iajs-3916	185	16	mae	mae	PROPN
iajs-3916	185	17	vs.	vs.	ADP
iajs-3916	185	18	epoch	epoch	NOUN
iajs-3916	185	19	,	,	PUNCT
iajs-3916	185	20	(	(	PUNCT
iajs-3916	185	21	b	b	X
iajs-3916	185	22	)	)	PUNCT
iajs-3916	185	23	loss	loss	NOUN
iajs-3916	185	24	vs.	vs.	X
iajs-3916	185	25	epoch	epoch	NOUN
iajs-3916	185	26	(	(	PUNCT
iajs-3916	185	27	c	c	NOUN
iajs-3916	185	28	)	)	PUNCT
iajs-3916	185	29	mape	mape	NOUN
iajs-3916	185	30	vs.	vs.	ADP
iajs-3916	185	31	epoch	epoch	NOUN
iajs-3916	185	32	,	,	PUNCT
iajs-3916	185	33	and	and	CCONJ
iajs-3916	185	34	(	(	PUNCT
iajs-3916	185	35	d)mse	d)mse	PROPN
iajs-3916	185	36	vs.	vs.	ADP
iajs-3916	185	37	epoch	epoch	PROPN
iajs-3916	185	38	finally	finally	ADV
iajs-3916	185	39	,	,	PUNCT
iajs-3916	185	40	the	the	DET
iajs-3916	185	41	algorithm	algorithm	NOUN
iajs-3916	185	42	(	(	PUNCT
iajs-3916	185	43	dbscan	dbscan	NOUN
iajs-3916	185	44	)	)	PUNCT
iajs-3916	185	45	outlines	outline	VERB
iajs-3916	185	46	two	two	NUM
iajs-3916	185	47	primary	primary	ADJ
iajs-3916	185	48	considerations	consideration	NOUN
iajs-3916	185	49	that	that	PRON
iajs-3916	185	50	control	control	VERB
iajs-3916	185	51	the	the	DET
iajs-3916	185	52	extraction	extraction	NOUN
iajs-3916	185	53	of	of	ADP
iajs-3916	185	54	stay	stay	NOUN
iajs-3916	185	55	points	point	NOUN
iajs-3916	185	56	,	,	PUNCT
iajs-3916	185	57	as	as	SCONJ
iajs-3916	185	58	presented	present	VERB
iajs-3916	185	59	by	by	ADP
iajs-3916	185	60	yang	yang	PROPN
iajs-3916	185	61	et	et	PROPN
iajs-3916	185	62	al	al	PROPN
iajs-3916	185	63	.	.	PUNCT
iajs-3916	186	1	by	by	ADP
iajs-3916	186	2	using	use	VERB
iajs-3916	186	3	dbscan	dbscan	NOUN
iajs-3916	186	4	on	on	ADP
iajs-3916	186	5	the	the	DET
iajs-3916	186	6	stay	stay	NOUN
iajs-3916	186	7	-	-	PUNCT
iajs-3916	186	8	points	point	NOUN
iajs-3916	186	9	of	of	ADP
iajs-3916	186	10	ihjpas	ihjpa	NOUN
iajs-3916	186	11	.	.	PUNCT
iajs-3916	187	1	2024	2024	NUM
iajs-3916	187	2	,	,	PUNCT
iajs-3916	187	3	37(4	37(4	NUM
iajs-3916	187	4	)	)	PUNCT
iajs-3916	187	5	433	433	NUM
iajs-3916	187	6	this	this	DET
iajs-3916	187	7	trajectory	trajectory	NOUN
iajs-3916	187	8	,	,	PUNCT
iajs-3916	187	9	we	we	PRON
iajs-3916	187	10	may	may	AUX
iajs-3916	187	11	avoid	avoid	VERB
iajs-3916	187	12	the	the	DET
iajs-3916	187	13	necessity	necessity	NOUN
iajs-3916	187	14	of	of	ADP
iajs-3916	187	15	predefining	predefine	VERB
iajs-3916	187	16	the	the	DET
iajs-3916	187	17	number	number	NOUN
iajs-3916	187	18	of	of	ADP
iajs-3916	187	19	clusters	cluster	NOUN
iajs-3916	187	20	to	to	PART
iajs-3916	187	21	be	be	AUX
iajs-3916	187	22	extracted	extract	VERB
iajs-3916	187	23	.	.	PUNCT
iajs-3916	188	1	alternatively	alternatively	ADV
iajs-3916	188	2	,	,	PUNCT
iajs-3916	188	3	the	the	DET
iajs-3916	188	4	clustering	clustering	ADJ
iajs-3916	188	5	technique	technique	NOUN
iajs-3916	188	6	requires	require	VERB
iajs-3916	188	7	us	we	PRON
iajs-3916	188	8	to	to	PART
iajs-3916	188	9	specify	specify	VERB
iajs-3916	188	10	a	a	DET
iajs-3916	188	11	minimum	minimum	ADJ
iajs-3916	188	12	number	number	NOUN
iajs-3916	188	13	of	of	ADP
iajs-3916	188	14	points	point	NOUN
iajs-3916	188	15	and	and	CCONJ
iajs-3916	188	16	a	a	DET
iajs-3916	188	17	radius	radius	NOUN
iajs-3916	188	18	in	in	ADP
iajs-3916	188	19	order	order	NOUN
iajs-3916	188	20	to	to	PART
iajs-3916	188	21	identify	identify	VERB
iajs-3916	188	22	the	the	DET
iajs-3916	188	23	clusters	cluster	NOUN
iajs-3916	188	24	.	.	PUNCT
iajs-3916	189	1	figure	figure	VERB
iajs-3916	189	2	7	7	NUM
iajs-3916	189	3	presents	present	NOUN
iajs-3916	189	4	the	the	DET
iajs-3916	189	5	stay	stay	NOUN
iajs-3916	189	6	points	point	NOUN
iajs-3916	189	7	obtained	obtain	VERB
iajs-3916	189	8	for	for	ADP
iajs-3916	189	9	various	various	ADJ
iajs-3916	189	10	settings	setting	NOUN
iajs-3916	189	11	,	,	PUNCT
iajs-3916	189	12	where	where	SCONJ
iajs-3916	189	13	the	the	DET
iajs-3916	189	14	threshold	threshold	NOUN
iajs-3916	189	15	primarily	primarily	ADV
iajs-3916	189	16	influences	influence	VERB
iajs-3916	189	17	the	the	DET
iajs-3916	189	18	number	number	NOUN
iajs-3916	189	19	of	of	ADP
iajs-3916	189	20	extracted	extract	VERB
iajs-3916	189	21	stay	stay	NOUN
iajs-3916	189	22	points	point	NOUN
iajs-3916	189	23	and	and	CCONJ
iajs-3916	189	24	also	also	ADV
iajs-3916	189	25	causes	cause	VERB
iajs-3916	189	26	variations	variation	NOUN
iajs-3916	189	27	in	in	ADP
iajs-3916	189	28	their	their	PRON
iajs-3916	189	29	precise	precise	ADJ
iajs-3916	189	30	locations	location	NOUN
iajs-3916	189	31	.	.	PUNCT
iajs-3916	190	1	the	the	DET
iajs-3916	190	2	visualizations	visualization	NOUN
iajs-3916	190	3	depict	depict	VERB
iajs-3916	190	4	the	the	DET
iajs-3916	190	5	geolife	geolife	NOUN
iajs-3916	190	6	dataset	dataset	NOUN
iajs-3916	190	7	's	's	PART
iajs-3916	190	8	trajectory	trajectory	NOUN
iajs-3916	190	9	.	.	PUNCT
iajs-3916	191	1	we	we	PRON
iajs-3916	191	2	represent	represent	VERB
iajs-3916	191	3	these	these	DET
iajs-3916	191	4	points	point	NOUN
iajs-3916	191	5	using	use	VERB
iajs-3916	191	6	their	their	PRON
iajs-3916	191	7	corresponding	corresponding	ADJ
iajs-3916	191	8	longitude	longitude	NOUN
iajs-3916	191	9	and	and	CCONJ
iajs-3916	191	10	latitude	latitude	NOUN
iajs-3916	191	11	values	value	NOUN
iajs-3916	191	12	in	in	ADP
iajs-3916	191	13	radians	radian	NOUN
iajs-3916	191	14	.	.	PUNCT
iajs-3916	192	1	(	(	PUNCT
iajs-3916	192	2	a	a	X
iajs-3916	192	3	)	)	PUNCT
iajs-3916	192	4	(	(	PUNCT
iajs-3916	192	5	b	b	X
iajs-3916	192	6	)	)	PUNCT
iajs-3916	192	7	(	(	PUNCT
iajs-3916	192	8	c	c	X
iajs-3916	192	9	)	)	PUNCT
iajs-3916	192	10	figure	figure	NOUN
iajs-3916	192	11	7	7	NUM
iajs-3916	192	12	.	.	PUNCT
iajs-3916	192	13	identifying	identify	VERB
iajs-3916	192	14	important	important	ADJ
iajs-3916	192	15	locations	location	NOUN
iajs-3916	192	16	using	use	VERB
iajs-3916	192	17	dbscan	dbscan	NOUN
iajs-3916	192	18	clustering	cluster	VERB
iajs-3916	192	19	algorithm	algorithm	NOUN
iajs-3916	192	20	,	,	PUNCT
iajs-3916	192	21	where(a	where(a	PROPN
iajs-3916	192	22	)	)	PUNCT
iajs-3916	192	23	eps=1500	eps=1500	PROPN
iajs-3916	192	24	meter	meter	NOUN
iajs-3916	192	25	,	,	PUNCT
iajs-3916	192	26	minpts=1(b	minpts=1(b	ADJ
iajs-3916	192	27	)	)	PUNCT
iajs-3916	192	28	eps=1000	eps=1000	NUM
iajs-3916	192	29	meter	meter	NOUN
iajs-3916	192	30	,	,	PUNCT
iajs-3916	192	31	minpts=1(c	minpts=1(c	NOUN
iajs-3916	192	32	)	)	PUNCT
iajs-3916	192	33	eps=500	eps=500	NOUN
iajs-3916	192	34	meter	meter	NOUN
iajs-3916	192	35	,	,	PUNCT
iajs-3916	192	36	minpts=1	minpts=1	PROPN
iajs-3916	192	37	figure	figure	NOUN
iajs-3916	192	38	7(a	7(a	NUM
iajs-3916	192	39	)	)	PUNCT
iajs-3916	192	40	illustrates	illustrate	VERB
iajs-3916	192	41	the	the	DET
iajs-3916	192	42	method	method	NOUN
iajs-3916	192	43	of	of	ADP
iajs-3916	192	44	extracting	extract	VERB
iajs-3916	192	45	stay	stay	NOUN
iajs-3916	192	46	points	point	NOUN
iajs-3916	192	47	using	use	VERB
iajs-3916	192	48	a	a	DET
iajs-3916	192	49	distance	distance	NOUN
iajs-3916	192	50	threshold	threshold	NOUN
iajs-3916	192	51	of	of	ADP
iajs-3916	192	52	1.5	1.5	NUM
iajs-3916	192	53	km	km	NOUN
iajs-3916	192	54	and	and	CCONJ
iajs-3916	192	55	a	a	DET
iajs-3916	192	56	minpts	minpt	NOUN
iajs-3916	192	57	of	of	ADP
iajs-3916	192	58	1	1	NUM
iajs-3916	192	59	.	.	PUNCT
iajs-3916	193	1	in	in	ADP
iajs-3916	193	2	the	the	DET
iajs-3916	193	3	absence	absence	NOUN
iajs-3916	193	4	of	of	ADP
iajs-3916	193	5	longitude	longitude	NOUN
iajs-3916	193	6	and	and	CCONJ
iajs-3916	193	7	latitude	latitude	NOUN
iajs-3916	193	8	normalization	normalization	NOUN
iajs-3916	193	9	,	,	PUNCT
iajs-3916	193	10	this	this	PRON
iajs-3916	193	11	entails	entail	VERB
iajs-3916	193	12	identifying	identify	VERB
iajs-3916	193	13	a	a	DET
iajs-3916	193	14	stay	stay	NOUN
iajs-3916	193	15	-	-	PUNCT
iajs-3916	193	16	point	point	NOUN
iajs-3916	193	17	when	when	SCONJ
iajs-3916	193	18	an	an	DET
iajs-3916	193	19	individual	individual	NOUN
iajs-3916	193	20	remains	remain	VERB
iajs-3916	193	21	within	within	ADP
iajs-3916	193	22	a	a	DET
iajs-3916	193	23	1.5	1.5	NUM
iajs-3916	193	24	km	km	NOUN
iajs-3916	193	25	radius	radius	NOUN
iajs-3916	193	26	for	for	ADP
iajs-3916	193	27	a	a	DET
iajs-3916	193	28	minimum	minimum	NOUN
iajs-3916	193	29	of	of	ADP
iajs-3916	193	30	1	1	NUM
iajs-3916	193	31	minpts	minpt	NOUN
iajs-3916	193	32	.	.	PUNCT
iajs-3916	194	1	the	the	DET
iajs-3916	194	2	limited	limited	ADJ
iajs-3916	194	3	distance	distance	NOUN
iajs-3916	194	4	suggests	suggest	VERB
iajs-3916	194	5	a	a	DET
iajs-3916	194	6	relatively	relatively	ADV
iajs-3916	194	7	large	large	ADJ
iajs-3916	194	8	quantity	quantity	NOUN
iajs-3916	194	9	of	of	ADP
iajs-3916	194	10	identified	identify	VERB
iajs-3916	194	11	stay	stay	NOUN
iajs-3916	194	12	points	point	NOUN
iajs-3916	194	13	,	,	PUNCT
iajs-3916	194	14	as	as	SCONJ
iajs-3916	194	15	this	this	DET
iajs-3916	194	16	occurrence	occurrence	NOUN
iajs-3916	194	17	is	be	AUX
iajs-3916	194	18	likely	likely	ADJ
iajs-3916	194	19	to	to	PART
iajs-3916	194	20	be	be	AUX
iajs-3916	194	21	common	common	ADJ
iajs-3916	194	22	in	in	ADP
iajs-3916	194	23	a	a	DET
iajs-3916	194	24	typical	typical	ADJ
iajs-3916	194	25	daily	daily	ADJ
iajs-3916	194	26	schedule	schedule	NOUN
iajs-3916	194	27	.	.	PUNCT
iajs-3916	195	1	in	in	ADP
iajs-3916	195	2	contrast	contrast	NOUN
iajs-3916	195	3	,	,	PUNCT
iajs-3916	195	4	figure	figure	NOUN
iajs-3916	195	5	7(b	7(b	NOUN
iajs-3916	195	6	)	)	PUNCT
iajs-3916	195	7	shows	show	VERB
iajs-3916	195	8	the	the	DET
iajs-3916	195	9	outcome	outcome	NOUN
iajs-3916	195	10	of	of	ADP
iajs-3916	195	11	decreasing	decrease	VERB
iajs-3916	195	12	the	the	DET
iajs-3916	195	13	eps	eps	PROPN
iajs-3916	195	14	.	.	PROPN
iajs-3916	195	15	by	by	ADP
iajs-3916	195	16	setting	set	VERB
iajs-3916	195	17	it	it	PRON
iajs-3916	195	18	to	to	ADP
iajs-3916	195	19	1000	1000	NUM
iajs-3916	195	20	meters	meter	NOUN
iajs-3916	195	21	and	and	CCONJ
iajs-3916	195	22	using	use	VERB
iajs-3916	195	23	the	the	DET
iajs-3916	195	24	same	same	ADJ
iajs-3916	195	25	minpts	minpt	NOUN
iajs-3916	195	26	,	,	PUNCT
iajs-3916	195	27	we	we	PRON
iajs-3916	195	28	observe	observe	VERB
iajs-3916	195	29	a	a	DET
iajs-3916	195	30	substantial	substantial	ADJ
iajs-3916	195	31	decrease	decrease	NOUN
iajs-3916	195	32	in	in	ADP
iajs-3916	195	33	the	the	DET
iajs-3916	195	34	number	number	NOUN
iajs-3916	195	35	of	of	ADP
iajs-3916	195	36	identified	identify	VERB
iajs-3916	195	37	stay	stay	NOUN
iajs-3916	195	38	-	-	PUNCT
iajs-3916	195	39	points	point	NOUN
iajs-3916	195	40	in	in	ADP
iajs-3916	195	41	one	one	NUM
iajs-3916	195	42	cluster	cluster	NOUN
iajs-3916	195	43	.	.	PUNCT
iajs-3916	196	1	figure	figure	NOUN
iajs-3916	196	2	7(c	7(c	NUM
iajs-3916	196	3	)	)	PUNCT
iajs-3916	196	4	depicts	depict	VERB
iajs-3916	196	5	the	the	DET
iajs-3916	196	6	outcome	outcome	NOUN
iajs-3916	196	7	obtained	obtain	VERB
iajs-3916	196	8	by	by	ADP
iajs-3916	196	9	decreasing	decrease	VERB
iajs-3916	196	10	the	the	DET
iajs-3916	196	11	distance	distance	NOUN
iajs-3916	196	12	threshold	threshold	NOUN
iajs-3916	196	13	.	.	PUNCT
iajs-3916	197	1	when	when	SCONJ
iajs-3916	197	2	dealing	deal	VERB
iajs-3916	197	3	with	with	ADP
iajs-3916	197	4	trajectories	trajectory	NOUN
iajs-3916	197	5	that	that	PRON
iajs-3916	197	6	are	be	AUX
iajs-3916	197	7	normalized	normalize	VERB
iajs-3916	197	8	,	,	PUNCT
iajs-3916	197	9	setting	set	VERB
iajs-3916	197	10	eps	eps	ADP
iajs-3916	197	11	=	=	SYM
iajs-3916	197	12	500	500	NUM
iajs-3916	197	13	meters	meter	NOUN
iajs-3916	197	14	and	and	CCONJ
iajs-3916	197	15	the	the	DET
iajs-3916	197	16	same	same	ADJ
iajs-3916	197	17	minpts	minpt	NOUN
iajs-3916	197	18	means	mean	VERB
iajs-3916	197	19	that	that	SCONJ
iajs-3916	197	20	we	we	PRON
iajs-3916	197	21	identify	identify	VERB
iajs-3916	197	22	a	a	DET
iajs-3916	197	23	stay	stay	NOUN
iajs-3916	197	24	-	-	PUNCT
iajs-3916	197	25	point	point	NOUN
iajs-3916	197	26	whenever	whenever	SCONJ
iajs-3916	197	27	a	a	DET
iajs-3916	197	28	person	person	NOUN
iajs-3916	197	29	remains	remain	VERB
iajs-3916	197	30	within	within	ADP
iajs-3916	197	31	a	a	DET
iajs-3916	197	32	500	500	NUM
iajs-3916	197	33	meter	meter	NOUN
iajs-3916	197	34	radius	radius	NOUN
iajs-3916	197	35	.	.	PUNCT
iajs-3916	198	1	we	we	PRON
iajs-3916	198	2	observe	observe	VERB
iajs-3916	198	3	a	a	DET
iajs-3916	198	4	substantial	substantial	ADJ
iajs-3916	198	5	decrease	decrease	NOUN
iajs-3916	198	6	in	in	ADP
iajs-3916	198	7	the	the	DET
iajs-3916	198	8	number	number	NOUN
iajs-3916	198	9	of	of	ADP
iajs-3916	198	10	identified	identify	VERB
iajs-3916	198	11	stay	stay	NOUN
iajs-3916	198	12	-	-	PUNCT
iajs-3916	198	13	points	point	NOUN
iajs-3916	198	14	in	in	ADP
iajs-3916	198	15	one	one	NUM
iajs-3916	198	16	cluster	cluster	NOUN
iajs-3916	198	17	.	.	PUNCT
iajs-3916	199	1	consequently	consequently	ADV
iajs-3916	199	2	,	,	PUNCT
iajs-3916	199	3	this	this	PRON
iajs-3916	199	4	leads	lead	VERB
iajs-3916	199	5	to	to	ADP
iajs-3916	199	6	an	an	DET
iajs-3916	199	7	increase	increase	NOUN
iajs-3916	199	8	in	in	ADP
iajs-3916	199	9	the	the	DET
iajs-3916	199	10	number	number	NOUN
iajs-3916	199	11	of	of	ADP
iajs-3916	199	12	clusters	cluster	NOUN
iajs-3916	199	13	extracted	extract	VERB
iajs-3916	199	14	compared	compare	VERB
iajs-3916	199	15	to	to	ADP
iajs-3916	199	16	when	when	SCONJ
iajs-3916	199	17	the	the	DET
iajs-3916	199	18	eps	eps	PROPN
iajs-3916	199	19	is	be	AUX
iajs-3916	199	20	set	set	VERB
iajs-3916	199	21	to	to	ADP
iajs-3916	199	22	1.5	1.5	NUM
iajs-3916	199	23	ihjpas	ihjpa	NOUN
iajs-3916	199	24	.	.	PUNCT
iajs-3916	200	1	2024	2024	NUM
iajs-3916	200	2	,	,	PUNCT
iajs-3916	200	3	37(4	37(4	NOUN
iajs-3916	200	4	)	)	PUNCT
iajs-3916	200	5	434	434	NUM
iajs-3916	200	6	km	km	NOUN
iajs-3916	200	7	and	and	CCONJ
iajs-3916	200	8	the	the	DET
iajs-3916	200	9	eps=1	eps=1	PROPN
iajs-3916	200	10	km	km	PROPN
iajs-3916	200	11	.	.	PUNCT
iajs-3916	201	1	put	put	VERB
iajs-3916	201	2	simply	simply	ADV
iajs-3916	201	3	,	,	PUNCT
iajs-3916	201	4	a	a	DET
iajs-3916	201	5	single	single	ADJ
iajs-3916	201	6	stay	stay	NOUN
iajs-3916	201	7	-	-	PUNCT
iajs-3916	201	8	point	point	NOUN
iajs-3916	201	9	records	record	NOUN
iajs-3916	201	10	data	datum	NOUN
iajs-3916	201	11	for	for	ADP
iajs-3916	201	12	a	a	DET
iajs-3916	201	13	greater	great	ADJ
iajs-3916	201	14	number	number	NOUN
iajs-3916	201	15	of	of	ADP
iajs-3916	201	16	longitude	longitude	ADJ
iajs-3916	201	17	-	-	PUNCT
iajs-3916	201	18	latitude	latitude	NOUN
iajs-3916	201	19	pairings	pairing	NOUN
iajs-3916	201	20	in	in	ADP
iajs-3916	201	21	its	its	PRON
iajs-3916	201	22	raw	raw	ADJ
iajs-3916	201	23	form	form	NOUN
iajs-3916	201	24	.	.	PUNCT
iajs-3916	202	1	the	the	DET
iajs-3916	202	2	location	location	NOUN
iajs-3916	202	3	points	point	VERB
iajs-3916	202	4	that	that	PRON
iajs-3916	202	5	contribute	contribute	VERB
iajs-3916	202	6	to	to	ADP
iajs-3916	202	7	a	a	DET
iajs-3916	202	8	stay	stay	VERB
iajs-3916	202	9	-	-	PUNCT
iajs-3916	202	10	point	point	NOUN
iajs-3916	202	11	heavily	heavily	ADV
iajs-3916	202	12	influence	influence	VERB
iajs-3916	202	13	its	its	PRON
iajs-3916	202	14	average	average	ADJ
iajs-3916	202	15	position	position	NOUN
iajs-3916	202	16	.	.	PUNCT
iajs-3916	203	1	this	this	PRON
iajs-3916	203	2	is	be	AUX
iajs-3916	203	3	why	why	SCONJ
iajs-3916	203	4	there	there	PRON
iajs-3916	203	5	is	be	VERB
iajs-3916	203	6	a	a	DET
iajs-3916	203	7	big	big	ADJ
iajs-3916	203	8	difference	difference	NOUN
iajs-3916	203	9	in	in	ADP
iajs-3916	203	10	the	the	DET
iajs-3916	203	11	placement	placement	NOUN
iajs-3916	203	12	of	of	ADP
iajs-3916	203	13	stay	stay	NOUN
iajs-3916	203	14	-	-	PUNCT
iajs-3916	203	15	points	point	NOUN
iajs-3916	203	16	in	in	ADP
iajs-3916	203	17	figure	figure	NOUN
iajs-3916	203	18	7(c	7(c	NUM
iajs-3916	203	19	)	)	PUNCT
iajs-3916	203	20	compared	compare	VERB
iajs-3916	203	21	to	to	PART
iajs-3916	203	22	figure	figure	VERB
iajs-3916	203	23	7(a	7(a	NUM
iajs-3916	203	24	)	)	PUNCT
iajs-3916	203	25	and	and	CCONJ
iajs-3916	203	26	figure	figure	VERB
iajs-3916	203	27	7(b	7(b	NOUN
iajs-3916	203	28	)	)	PUNCT
iajs-3916	203	29	.	.	PUNCT
iajs-3916	204	1	figure	figure	VERB
iajs-3916	204	2	8	8	NUM
iajs-3916	204	3	below	below	ADV
iajs-3916	204	4	identifies	identify	VERB
iajs-3916	204	5	important	important	ADJ
iajs-3916	204	6	locations	location	NOUN
iajs-3916	204	7	using	use	VERB
iajs-3916	204	8	the	the	DET
iajs-3916	204	9	dbscan	dbscan	NOUN
iajs-3916	204	10	clustering	cluster	VERB
iajs-3916	204	11	algorithm	algorithm	NOUN
iajs-3916	204	12	,	,	PUNCT
iajs-3916	204	13	eps=	eps=	PROPN
iajs-3916	204	14	kneedle	kneedle	NOUN
iajs-3916	204	15	algorithm	algorithm	NOUN
iajs-3916	204	16	,	,	PUNCT
iajs-3916	204	17	and	and	CCONJ
iajs-3916	204	18	the	the	DET
iajs-3916	204	19	same	same	ADJ
iajs-3916	204	20	minpts	minpt	NOUN
iajs-3916	204	21	,	,	PUNCT
iajs-3916	204	22	which	which	PRON
iajs-3916	204	23	determine	determine	VERB
iajs-3916	204	24	the	the	DET
iajs-3916	204	25	number	number	NOUN
iajs-3916	204	26	of	of	ADP
iajs-3916	204	27	clusters	cluster	NOUN
iajs-3916	204	28	and	and	CCONJ
iajs-3916	204	29	the	the	DET
iajs-3916	204	30	noise	noise	NOUN
iajs-3916	204	31	.	.	PUNCT
iajs-3916	205	1	noise	noise	NOUN
iajs-3916	205	2	.	.	PUNCT
iajs-3916	206	1	figure	figure	NOUN
iajs-3916	206	2	8	8	NUM
iajs-3916	206	3	.	.	PUNCT
iajs-3916	207	1	identifying	identify	VERB
iajs-3916	207	2	important	important	ADJ
iajs-3916	207	3	locations	location	NOUN
iajs-3916	207	4	using	use	VERB
iajs-3916	207	5	the	the	DET
iajs-3916	207	6	dbscan	dbscan	NOUN
iajs-3916	207	7	clustering	cluster	VERB
iajs-3916	207	8	algorithm	algorithm	NOUN
iajs-3916	207	9	,	,	PUNCT
iajs-3916	207	10	eps=	eps=	PROPN
iajs-3916	207	11	kneedle	kneedle	ADJ
iajs-3916	207	12	algorithm	algorithm	NOUN
iajs-3916	207	13	our	our	PRON
iajs-3916	207	14	goal	goal	NOUN
iajs-3916	207	15	is	be	AUX
iajs-3916	207	16	to	to	PART
iajs-3916	207	17	develop	develop	VERB
iajs-3916	207	18	a	a	DET
iajs-3916	207	19	clustering	clustering	ADJ
iajs-3916	207	20	algorithm	algorithm	NOUN
iajs-3916	207	21	that	that	PRON
iajs-3916	207	22	can	can	AUX
iajs-3916	207	23	autonomously	autonomously	ADV
iajs-3916	207	24	determine	determine	VERB
iajs-3916	207	25	an	an	DET
iajs-3916	207	26	appropriate	appropriate	ADJ
iajs-3916	207	27	number	number	NOUN
iajs-3916	207	28	of	of	ADP
iajs-3916	207	29	clusters	cluster	NOUN
iajs-3916	207	30	without	without	ADP
iajs-3916	207	31	calculating	calculate	VERB
iajs-3916	207	32	distances	distance	NOUN
iajs-3916	207	33	and	and	CCONJ
iajs-3916	207	34	automatically	automatically	ADV
iajs-3916	207	35	excluding	exclude	VERB
iajs-3916	207	36	noise	noise	NOUN
iajs-3916	207	37	.	.	PUNCT
iajs-3916	208	1	an	an	DET
iajs-3916	208	2	example	example	NOUN
iajs-3916	208	3	of	of	ADP
iajs-3916	208	4	this	this	PRON
iajs-3916	208	5	could	could	AUX
iajs-3916	208	6	be	be	AUX
iajs-3916	208	7	going	go	VERB
iajs-3916	208	8	on	on	ADP
iajs-3916	208	9	an	an	DET
iajs-3916	208	10	unusual	unusual	ADJ
iajs-3916	208	11	trip	trip	NOUN
iajs-3916	208	12	only	only	ADV
iajs-3916	208	13	once	once	ADV
iajs-3916	208	14	,	,	PUNCT
iajs-3916	208	15	far	far	ADV
iajs-3916	208	16	from	from	ADP
iajs-3916	208	17	their	their	PRON
iajs-3916	208	18	daily	daily	ADJ
iajs-3916	208	19	routine	routine	NOUN
iajs-3916	208	20	.	.	PUNCT
iajs-3916	209	1	however	however	ADV
iajs-3916	209	2	,	,	PUNCT
iajs-3916	209	3	such	such	ADJ
iajs-3916	209	4	events	event	NOUN
iajs-3916	209	5	do	do	AUX
iajs-3916	209	6	not	not	PART
iajs-3916	209	7	contribute	contribute	VERB
iajs-3916	209	8	to	to	ADP
iajs-3916	209	9	an	an	DET
iajs-3916	209	10	important	important	ADJ
iajs-3916	209	11	location	location	NOUN
iajs-3916	209	12	and	and	CCONJ
iajs-3916	209	13	should	should	AUX
iajs-3916	209	14	be	be	AUX
iajs-3916	209	15	considered	consider	VERB
iajs-3916	209	16	irrelevant	irrelevant	ADJ
iajs-3916	209	17	data	datum	NOUN
iajs-3916	209	18	.	.	PUNCT
iajs-3916	210	1	use	use	PROPN
iajs-3916	210	2	eps	eps	PROPN
iajs-3916	210	3	,	,	PUNCT
iajs-3916	210	4	an	an	DET
iajs-3916	210	5	algorithm	algorithm	NOUN
iajs-3916	210	6	called	call	VERB
iajs-3916	210	7	kneedle	kneedle	ADJ
iajs-3916	210	8	,	,	PUNCT
iajs-3916	210	9	instead	instead	ADV
iajs-3916	210	10	of	of	ADP
iajs-3916	210	11	determining	determine	VERB
iajs-3916	210	12	the	the	DET
iajs-3916	210	13	distance	distance	NOUN
iajs-3916	210	14	,	,	PUNCT
iajs-3916	210	15	as	as	SCONJ
iajs-3916	210	16	shown	show	VERB
iajs-3916	210	17	in	in	ADP
iajs-3916	210	18	figure	figure	NOUN
iajs-3916	210	19	8	8	NUM
iajs-3916	210	20	.	.	PUNCT
iajs-3916	211	1	the	the	DET
iajs-3916	211	2	algorithm	algorithm	NOUN
iajs-3916	211	3	"	"	PUNCT
iajs-3916	211	4	kneedle	kneedle	ADJ
iajs-3916	211	5	"	"	PUNCT
iajs-3916	211	6	identifies	identify	VERB
iajs-3916	211	7	advantageous	advantageous	ADJ
iajs-3916	211	8	data	datum	NOUN
iajs-3916	211	9	points	point	NOUN
iajs-3916	211	10	that	that	PRON
iajs-3916	211	11	indicate	indicate	VERB
iajs-3916	211	12	optimal	optimal	ADJ
iajs-3916	211	13	tradeoffs	tradeoff	NOUN
iajs-3916	211	14	,	,	PUNCT
iajs-3916	211	15	referred	refer	VERB
iajs-3916	211	16	to	to	ADP
iajs-3916	211	17	as	as	ADP
iajs-3916	211	18	"	"	PUNCT
iajs-3916	211	19	knees	knee	NOUN
iajs-3916	211	20	"	"	PUNCT
iajs-3916	211	21	(	(	PUNCT
iajs-3916	211	22	curves	curve	NOUN
iajs-3916	211	23	with	with	ADP
iajs-3916	211	24	negative	negative	ADJ
iajs-3916	211	25	concavity	concavity	NOUN
iajs-3916	211	26	)	)	PUNCT
iajs-3916	211	27	or	or	CCONJ
iajs-3916	211	28	sometimes	sometimes	ADV
iajs-3916	211	29	"	"	PUNCT
iajs-3916	211	30	elbows	elbow	NOUN
iajs-3916	211	31	"	"	PUNCT
iajs-3916	211	32	(	(	PUNCT
iajs-3916	211	33	curves	curve	NOUN
iajs-3916	211	34	with	with	ADP
iajs-3916	211	35	positive	positive	ADJ
iajs-3916	211	36	concavity	concavity	NOUN
iajs-3916	211	37	)	)	PUNCT
iajs-3916	211	38	,	,	PUNCT
iajs-3916	211	39	in	in	ADP
iajs-3916	211	40	discrete	discrete	ADJ
iajs-3916	211	41	data	data	NOUN
iajs-3916	211	42	sets	set	NOUN
iajs-3916	211	43	.	.	PUNCT
iajs-3916	212	1	we	we	PRON
iajs-3916	212	2	achieve	achieve	VERB
iajs-3916	212	3	this	this	PRON
iajs-3916	212	4	by	by	ADP
iajs-3916	212	5	applying	apply	VERB
iajs-3916	212	6	the	the	DET
iajs-3916	212	7	mathematical	mathematical	ADJ
iajs-3916	212	8	concept	concept	NOUN
iajs-3916	212	9	of	of	ADP
iajs-3916	212	10	curvature	curvature	NOUN
iajs-3916	212	11	,	,	PUNCT
iajs-3916	212	12	typically	typically	ADV
iajs-3916	212	13	used	use	VERB
iajs-3916	212	14	for	for	ADP
iajs-3916	212	15	continuous	continuous	ADJ
iajs-3916	212	16	functions	function	NOUN
iajs-3916	212	17	;	;	PUNCT
iajs-3916	212	18	for	for	ADP
iajs-3916	212	19	more	more	ADJ
iajs-3916	212	20	details	detail	NOUN
iajs-3916	212	21	about	about	ADP
iajs-3916	212	22	this	this	DET
iajs-3916	212	23	algorithm	algorithm	NOUN
iajs-3916	212	24	and	and	CCONJ
iajs-3916	212	25	its	its	PRON
iajs-3916	212	26	exact	exact	ADJ
iajs-3916	212	27	workings	working	NOUN
iajs-3916	212	28	,	,	PUNCT
iajs-3916	212	29	refer	refer	VERB
iajs-3916	212	30	to	to	PART
iajs-3916	212	31	ref	ref	VERB
iajs-3916	212	32	[	[	X
iajs-3916	212	33	37	37	NUM
iajs-3916	212	34	]	]	PUNCT
iajs-3916	212	35	.	.	PUNCT
iajs-3916	213	1	accordingly	accordingly	ADV
iajs-3916	213	2	,	,	PUNCT
iajs-3916	213	3	previous	previous	ADJ
iajs-3916	213	4	analysis	analysis	NOUN
iajs-3916	213	5	suggests	suggest	VERB
iajs-3916	213	6	that	that	SCONJ
iajs-3916	213	7	utilizing	utilize	VERB
iajs-3916	213	8	dbscan	dbscan	NOUN
iajs-3916	213	9	is	be	AUX
iajs-3916	213	10	appropriate	appropriate	ADJ
iajs-3916	213	11	for	for	ADP
iajs-3916	213	12	identifying	identify	VERB
iajs-3916	213	13	relevant	relevant	ADJ
iajs-3916	213	14	locations	location	NOUN
iajs-3916	213	15	with	with	ADP
iajs-3916	213	16	the	the	DET
iajs-3916	213	17	(	(	PUNCT
iajs-3916	213	18	eps	eps	NOUN
iajs-3916	213	19	=	=	PUNCT
iajs-3916	213	20	kneedle	kneedle	ADJ
iajs-3916	213	21	)	)	PUNCT
iajs-3916	213	22	algorithm	algorithm	NOUN
iajs-3916	213	23	.	.	PUNCT
iajs-3916	214	1	this	this	DET
iajs-3916	214	2	technique	technique	NOUN
iajs-3916	214	3	's	's	PART
iajs-3916	214	4	design	design	NOUN
iajs-3916	214	5	successfully	successfully	ADV
iajs-3916	214	6	avoids	avoid	VERB
iajs-3916	214	7	the	the	DET
iajs-3916	214	8	primary	primary	ADJ
iajs-3916	214	9	problems	problem	NOUN
iajs-3916	214	10	encountered	encounter	VERB
iajs-3916	214	11	by	by	ADP
iajs-3916	214	12	traditional	traditional	ADJ
iajs-3916	214	13	clustering	clustering	ADJ
iajs-3916	214	14	algorithms	algorithm	NOUN
iajs-3916	214	15	when	when	SCONJ
iajs-3916	214	16	dealing	deal	VERB
iajs-3916	214	17	with	with	ADP
iajs-3916	214	18	spatial	spatial	ADJ
iajs-3916	214	19	data	datum	NOUN
iajs-3916	214	20	.	.	PUNCT
iajs-3916	215	1	furthermore	furthermore	ADV
iajs-3916	215	2	,	,	PUNCT
iajs-3916	215	3	one	one	PRON
iajs-3916	215	4	can	can	AUX
iajs-3916	215	5	replace	replace	VERB
iajs-3916	215	6	these	these	DET
iajs-3916	215	7	eps	eps	PROPN
iajs-3916	215	8	and	and	CCONJ
iajs-3916	215	9	minpts	minpt	NOUN
iajs-3916	215	10	parameters	parameter	NOUN
iajs-3916	215	11	with	with	ADP
iajs-3916	215	12	various	various	ADJ
iajs-3916	215	13	suitable	suitable	ADJ
iajs-3916	215	14	methods	method	NOUN
iajs-3916	215	15	.	.	PUNCT
iajs-3916	216	1	ihjpas	ihjpas	PROPN
iajs-3916	216	2	.	.	PUNCT
iajs-3916	217	1	2024	2024	NUM
iajs-3916	217	2	,	,	PUNCT
iajs-3916	217	3	37(4	37(4	NOUN
iajs-3916	217	4	)	)	PUNCT
iajs-3916	217	5	435	435	NUM
iajs-3916	217	6	conclusion	conclusion	NOUN
iajs-3916	217	7	and	and	CCONJ
iajs-3916	217	8	future	future	ADJ
iajs-3916	217	9	work	work	NOUN
iajs-3916	217	10	the	the	DET
iajs-3916	217	11	study	study	NOUN
iajs-3916	217	12	effectively	effectively	ADV
iajs-3916	217	13	utilized	utilize	VERB
iajs-3916	217	14	the	the	DET
iajs-3916	217	15	geolife	geolife	NOUN
iajs-3916	217	16	gps	gps	PROPN
iajs-3916	217	17	trajectories	trajectory	NOUN
iajs-3916	217	18	dataset	dataset	VERB
iajs-3916	217	19	to	to	PART
iajs-3916	217	20	predict	predict	VERB
iajs-3916	217	21	individual	individual	ADJ
iajs-3916	217	22	mobility	mobility	NOUN
iajs-3916	217	23	.	.	PUNCT
iajs-3916	218	1	we	we	PRON
iajs-3916	218	2	then	then	ADV
iajs-3916	218	3	conducted	conduct	VERB
iajs-3916	218	4	a	a	DET
iajs-3916	218	5	study	study	NOUN
iajs-3916	218	6	on	on	ADP
iajs-3916	218	7	the	the	DET
iajs-3916	218	8	paths	path	NOUN
iajs-3916	218	9	of	of	ADP
iajs-3916	218	10	these	these	DET
iajs-3916	218	11	locations	location	NOUN
iajs-3916	218	12	,	,	PUNCT
iajs-3916	218	13	employing	employ	VERB
iajs-3916	218	14	two	two	NUM
iajs-3916	218	15	distinct	distinct	ADJ
iajs-3916	218	16	prediction	prediction	NOUN
iajs-3916	218	17	models	model	NOUN
iajs-3916	218	18	from	from	ADP
iajs-3916	218	19	this	this	DET
iajs-3916	218	20	dataset	dataset	NOUN
iajs-3916	218	21	.	.	PUNCT
iajs-3916	219	1	the	the	DET
iajs-3916	219	2	prediction	prediction	NOUN
iajs-3916	219	3	was	be	AUX
iajs-3916	219	4	evaluated	evaluate	VERB
iajs-3916	219	5	using	use	VERB
iajs-3916	219	6	the	the	DET
iajs-3916	219	7	rnn	rnn	NOUN
iajs-3916	219	8	and	and	CCONJ
iajs-3916	219	9	gru	gru	NOUN
iajs-3916	219	10	methods	method	NOUN
iajs-3916	219	11	,	,	PUNCT
iajs-3916	219	12	resulting	result	VERB
iajs-3916	219	13	in	in	ADP
iajs-3916	219	14	a	a	DET
iajs-3916	219	15	score	score	NOUN
iajs-3916	219	16	of	of	ADP
iajs-3916	219	17	30	30	NUM
iajs-3916	219	18	for	for	ADP
iajs-3916	219	19	the	the	DET
iajs-3916	219	20	epoch	epoch	NOUN
iajs-3916	219	21	parameter	parameter	NOUN
iajs-3916	219	22	and	and	CCONJ
iajs-3916	219	23	64	64	NUM
iajs-3916	219	24	for	for	ADP
iajs-3916	219	25	the	the	DET
iajs-3916	219	26	batch	batch	NOUN
iajs-3916	219	27	size	size	NOUN
iajs-3916	219	28	parameter	parameter	NOUN
iajs-3916	219	29	.	.	PUNCT
iajs-3916	220	1	this	this	PRON
iajs-3916	220	2	demonstrates	demonstrate	VERB
iajs-3916	220	3	a	a	DET
iajs-3916	220	4	high	high	ADJ
iajs-3916	220	5	level	level	NOUN
iajs-3916	220	6	of	of	ADP
iajs-3916	220	7	accuracy	accuracy	NOUN
iajs-3916	220	8	in	in	ADP
iajs-3916	220	9	extracting	extract	VERB
iajs-3916	220	10	stay	stay	NOUN
iajs-3916	220	11	-	-	PUNCT
iajs-3916	220	12	points	point	NOUN
iajs-3916	220	13	and	and	CCONJ
iajs-3916	220	14	significant	significant	ADJ
iajs-3916	220	15	location	location	NOUN
iajs-3916	220	16	extraction	extraction	NOUN
iajs-3916	220	17	using	use	VERB
iajs-3916	220	18	the	the	DET
iajs-3916	220	19	dbscan	dbscan	ADJ
iajs-3916	220	20	algorithm	algorithm	NOUN
iajs-3916	220	21	.	.	PUNCT
iajs-3916	221	1	additionally	additionally	ADV
iajs-3916	221	2	,	,	PUNCT
iajs-3916	221	3	the	the	DET
iajs-3916	221	4	prediction	prediction	NOUN
iajs-3916	221	5	error	error	NOUN
iajs-3916	221	6	,	,	PUNCT
iajs-3916	221	7	measured	measure	VERB
iajs-3916	221	8	by	by	ADP
iajs-3916	221	9	the	the	DET
iajs-3916	221	10	mean	mean	ADJ
iajs-3916	221	11	square	square	ADJ
iajs-3916	221	12	error	error	NOUN
iajs-3916	221	13	(	(	PUNCT
iajs-3916	221	14	mse	mse	NOUN
iajs-3916	221	15	)	)	PUNCT
iajs-3916	221	16	,	,	PUNCT
iajs-3916	221	17	achieved	achieve	VERB
iajs-3916	221	18	a	a	DET
iajs-3916	221	19	score	score	NOUN
iajs-3916	221	20	of	of	ADP
iajs-3916	221	21	0.0005	0.0005	NUM
iajs-3916	221	22	for	for	ADP
iajs-3916	221	23	the	the	DET
iajs-3916	221	24	rnn	rnn	NOUN
iajs-3916	221	25	model	model	NOUN
iajs-3916	221	26	and	and	CCONJ
iajs-3916	221	27	0.01	0.01	NUM
iajs-3916	221	28	for	for	ADP
iajs-3916	221	29	the	the	DET
iajs-3916	221	30	gru	gru	NOUN
iajs-3916	221	31	model	model	NOUN
iajs-3916	221	32	.	.	PUNCT
iajs-3916	222	1	finally	finally	ADV
iajs-3916	222	2	,	,	PUNCT
iajs-3916	222	3	dealing	deal	VERB
iajs-3916	222	4	with	with	ADP
iajs-3916	222	5	diverse	diverse	ADJ
iajs-3916	222	6	trajectory	trajectory	NOUN
iajs-3916	222	7	data	datum	NOUN
iajs-3916	222	8	is	be	AUX
iajs-3916	222	9	an	an	DET
iajs-3916	222	10	important	important	ADJ
iajs-3916	222	11	but	but	CCONJ
iajs-3916	222	12	difficult	difficult	ADJ
iajs-3916	222	13	challenge	challenge	NOUN
iajs-3916	222	14	for	for	ADP
iajs-3916	222	15	future	future	ADJ
iajs-3916	222	16	research	research	NOUN
iajs-3916	222	17	;	;	PUNCT
iajs-3916	222	18	additional	additional	ADJ
iajs-3916	222	19	efforts	effort	NOUN
iajs-3916	222	20	are	be	AUX
iajs-3916	222	21	required	require	VERB
iajs-3916	222	22	to	to	PART
iajs-3916	222	23	address	address	VERB
iajs-3916	222	24	parameter	parameter	NOUN
iajs-3916	222	25	optimization	optimization	NOUN
iajs-3916	222	26	and	and	CCONJ
iajs-3916	222	27	feature	feature	NOUN
iajs-3916	222	28	weighting	weighting	NOUN
iajs-3916	222	29	.	.	PUNCT
iajs-3916	223	1	also	also	ADV
iajs-3916	223	2	,	,	PUNCT
iajs-3916	223	3	in	in	ADP
iajs-3916	223	4	order	order	NOUN
iajs-3916	223	5	to	to	PART
iajs-3916	223	6	improve	improve	VERB
iajs-3916	223	7	location	location	NOUN
iajs-3916	223	8	prediction	prediction	NOUN
iajs-3916	223	9	,	,	PUNCT
iajs-3916	223	10	we	we	PRON
iajs-3916	223	11	must	must	AUX
iajs-3916	223	12	pay	pay	VERB
iajs-3916	223	13	close	close	ADJ
iajs-3916	223	14	attention	attention	NOUN
iajs-3916	223	15	to	to	ADP
iajs-3916	223	16	and	and	CCONJ
iajs-3916	223	17	investigate	investigate	VERB
iajs-3916	223	18	the	the	DET
iajs-3916	223	19	role	role	NOUN
iajs-3916	223	20	of	of	ADP
iajs-3916	223	21	social	social	ADJ
iajs-3916	223	22	relationships	relationship	NOUN
iajs-3916	223	23	and	and	CCONJ
iajs-3916	223	24	friendship	friendship	NOUN
iajs-3916	223	25	.	.	PUNCT
iajs-3916	224	1	the	the	DET
iajs-3916	224	2	next	next	ADJ
iajs-3916	224	3	prediction	prediction	NOUN
iajs-3916	224	4	path	path	NOUN
iajs-3916	224	5	method	method	NOUN
iajs-3916	224	6	described	describe	VERB
iajs-3916	224	7	in	in	ADP
iajs-3916	224	8	this	this	DET
iajs-3916	224	9	work	work	NOUN
iajs-3916	224	10	continues	continue	VERB
iajs-3916	224	11	to	to	PART
iajs-3916	224	12	face	face	VERB
iajs-3916	224	13	numerous	numerous	ADJ
iajs-3916	224	14	research	research	NOUN
iajs-3916	224	15	constraints	constraint	NOUN
iajs-3916	224	16	.	.	PUNCT
iajs-3916	225	1	our	our	PRON
iajs-3916	225	2	primary	primary	ADJ
iajs-3916	225	3	goal	goal	NOUN
iajs-3916	225	4	is	be	AUX
iajs-3916	225	5	to	to	PART
iajs-3916	225	6	anticipate	anticipate	VERB
iajs-3916	225	7	a	a	DET
iajs-3916	225	8	user	user	NOUN
iajs-3916	225	9	's	's	PART
iajs-3916	225	10	next	next	ADJ
iajs-3916	225	11	location	location	NOUN
iajs-3916	225	12	as	as	ADP
iajs-3916	225	13	a	a	DET
iajs-3916	225	14	reference	reference	NOUN
iajs-3916	225	15	point	point	NOUN
iajs-3916	225	16	for	for	ADP
iajs-3916	225	17	comparison	comparison	NOUN
iajs-3916	225	18	with	with	ADP
iajs-3916	225	19	actual	actual	ADJ
iajs-3916	225	20	sensor	sensor	NOUN
iajs-3916	225	21	data	datum	NOUN
iajs-3916	225	22	,	,	PUNCT
iajs-3916	225	23	which	which	PRON
iajs-3916	225	24	may	may	AUX
iajs-3916	225	25	have	have	VERB
iajs-3916	225	26	limited	limited	ADJ
iajs-3916	225	27	accuracy	accuracy	NOUN
iajs-3916	225	28	in	in	ADP
iajs-3916	225	29	determining	determine	VERB
iajs-3916	225	30	the	the	DET
iajs-3916	225	31	user	user	NOUN
iajs-3916	225	32	's	's	PART
iajs-3916	225	33	current	current	ADJ
iajs-3916	225	34	location	location	NOUN
iajs-3916	225	35	.	.	PUNCT
iajs-3916	226	1	this	this	PRON
iajs-3916	226	2	would	would	AUX
iajs-3916	226	3	allow	allow	VERB
iajs-3916	226	4	us	we	PRON
iajs-3916	226	5	to	to	PART
iajs-3916	226	6	precisely	precisely	ADV
iajs-3916	226	7	pinpoint	pinpoint	VERB
iajs-3916	226	8	a	a	DET
iajs-3916	226	9	user	user	NOUN
iajs-3916	226	10	's	's	PART
iajs-3916	226	11	current	current	ADJ
iajs-3916	226	12	location	location	NOUN
iajs-3916	226	13	or	or	CCONJ
iajs-3916	226	14	the	the	DET
iajs-3916	226	15	likelihood	likelihood	NOUN
iajs-3916	226	16	that	that	SCONJ
iajs-3916	226	17	they	they	PRON
iajs-3916	226	18	are	be	AUX
iajs-3916	226	19	currently	currently	ADV
iajs-3916	226	20	attired	attire	VERB
iajs-3916	226	21	.	.	PUNCT
iajs-3916	227	1	so	so	ADV
iajs-3916	227	2	far	far	ADV
iajs-3916	227	3	,	,	PUNCT
iajs-3916	227	4	we	we	PRON
iajs-3916	227	5	have	have	AUX
iajs-3916	227	6	only	only	ADV
iajs-3916	227	7	looked	look	VERB
iajs-3916	227	8	at	at	ADP
iajs-3916	227	9	an	an	DET
iajs-3916	227	10	individual	individual	NOUN
iajs-3916	227	11	's	's	PART
iajs-3916	227	12	daily	daily	ADJ
iajs-3916	227	13	routine	routine	NOUN
iajs-3916	227	14	.	.	PUNCT
iajs-3916	228	1	when	when	SCONJ
iajs-3916	228	2	this	this	DET
iajs-3916	228	3	individual	individual	NOUN
iajs-3916	228	4	engages	engage	VERB
iajs-3916	228	5	in	in	ADP
iajs-3916	228	6	unexpected	unexpected	ADJ
iajs-3916	228	7	or	or	CCONJ
iajs-3916	228	8	unusual	unusual	ADJ
iajs-3916	228	9	actions	action	NOUN
iajs-3916	228	10	,	,	PUNCT
iajs-3916	228	11	such	such	ADJ
iajs-3916	228	12	as	as	ADP
iajs-3916	228	13	traveling	travel	VERB
iajs-3916	228	14	to	to	ADP
iajs-3916	228	15	a	a	DET
iajs-3916	228	16	foreign	foreign	ADJ
iajs-3916	228	17	country	country	NOUN
iajs-3916	228	18	during	during	ADP
iajs-3916	228	19	holidays	holiday	NOUN
iajs-3916	228	20	,	,	PUNCT
iajs-3916	228	21	the	the	DET
iajs-3916	228	22	research	research	NOUN
iajs-3916	228	23	aims	aim	VERB
iajs-3916	228	24	to	to	PART
iajs-3916	228	25	ensure	ensure	VERB
iajs-3916	228	26	that	that	SCONJ
iajs-3916	228	27	a	a	DET
iajs-3916	228	28	system	system	NOUN
iajs-3916	228	29	remains	remain	VERB
iajs-3916	228	30	operational	operational	ADJ
iajs-3916	228	31	.	.	PUNCT
iajs-3916	229	1	we	we	PRON
iajs-3916	229	2	have	have	VERB
iajs-3916	229	3	to	to	PART
iajs-3916	229	4	determine	determine	VERB
iajs-3916	229	5	the	the	DET
iajs-3916	229	6	probability	probability	NOUN
iajs-3916	229	7	of	of	ADP
iajs-3916	229	8	new	new	ADJ
iajs-3916	229	9	,	,	PUNCT
iajs-3916	229	10	unexpected	unexpected	ADJ
iajs-3916	229	11	transitions	transition	NOUN
iajs-3916	229	12	by	by	ADP
iajs-3916	229	13	examining	examine	VERB
iajs-3916	229	14	things	thing	NOUN
iajs-3916	229	15	like	like	ADP
iajs-3916	229	16	the	the	DET
iajs-3916	229	17	time	time	NOUN
iajs-3916	229	18	it	it	PRON
iajs-3916	229	19	would	would	AUX
iajs-3916	229	20	take	take	VERB
iajs-3916	229	21	for	for	ADP
iajs-3916	229	22	the	the	DET
iajs-3916	229	23	legitimate	legitimate	ADJ
iajs-3916	229	24	user	user	NOUN
iajs-3916	229	25	to	to	PART
iajs-3916	229	26	reach	reach	VERB
iajs-3916	229	27	the	the	DET
iajs-3916	229	28	new	new	ADJ
iajs-3916	229	29	destination	destination	NOUN
iajs-3916	229	30	.	.	PUNCT
iajs-3916	230	1	in	in	ADP
iajs-3916	230	2	this	this	DET
iajs-3916	230	3	sense	sense	NOUN
iajs-3916	230	4	,	,	PUNCT
iajs-3916	230	5	a	a	DET
iajs-3916	230	6	person	person	NOUN
iajs-3916	230	7	's	's	PART
iajs-3916	230	8	significant	significant	ADJ
iajs-3916	230	9	places	place	NOUN
iajs-3916	230	10	might	might	AUX
iajs-3916	230	11	change	change	VERB
iajs-3916	230	12	over	over	ADP
iajs-3916	230	13	time	time	NOUN
iajs-3916	230	14	.	.	PUNCT
iajs-3916	231	1	for	for	ADP
iajs-3916	231	2	example	example	NOUN
iajs-3916	231	3	,	,	PUNCT
iajs-3916	231	4	relocating	relocate	VERB
iajs-3916	231	5	to	to	ADP
iajs-3916	231	6	a	a	DET
iajs-3916	231	7	new	new	ADJ
iajs-3916	231	8	home	home	NOUN
iajs-3916	231	9	necessitates	necessitate	VERB
iajs-3916	231	10	a	a	DET
iajs-3916	231	11	change	change	NOUN
iajs-3916	231	12	in	in	ADP
iajs-3916	231	13	the	the	DET
iajs-3916	231	14	major	major	ADJ
iajs-3916	231	15	site	site	NOUN
iajs-3916	231	16	associated	associate	VERB
iajs-3916	231	17	with	with	ADP
iajs-3916	231	18	the	the	DET
iajs-3916	231	19	home	home	NOUN
iajs-3916	231	20	.	.	PUNCT
iajs-3916	232	1	to	to	PART
iajs-3916	232	2	address	address	VERB
iajs-3916	232	3	this	this	DET
iajs-3916	232	4	issue	issue	NOUN
iajs-3916	232	5	,	,	PUNCT
iajs-3916	232	6	it	it	PRON
iajs-3916	232	7	is	be	AUX
iajs-3916	232	8	best	good	ADJ
iajs-3916	232	9	to	to	PART
iajs-3916	232	10	restart	restart	VERB
iajs-3916	232	11	the	the	DET
iajs-3916	232	12	training	training	NOUN
iajs-3916	232	13	process	process	NOUN
iajs-3916	232	14	of	of	ADP
iajs-3916	232	15	the	the	DET
iajs-3916	232	16	models	model	NOUN
iajs-3916	232	17	,	,	PUNCT
iajs-3916	232	18	which	which	PRON
iajs-3916	232	19	involves	involve	VERB
iajs-3916	232	20	reprocessing	reprocess	VERB
iajs-3916	232	21	the	the	DET
iajs-3916	232	22	user	user	NOUN
iajs-3916	232	23	data	data	PROPN
iajs-3916	232	24	.	.	PUNCT
iajs-3916	233	1	future	future	ADJ
iajs-3916	233	2	research	research	NOUN
iajs-3916	233	3	could	could	AUX
iajs-3916	233	4	explore	explore	VERB
iajs-3916	233	5	incremental	incremental	ADJ
iajs-3916	233	6	learning	learning	NOUN
iajs-3916	233	7	,	,	PUNCT
iajs-3916	233	8	utilizing	utilize	VERB
iajs-3916	233	9	new	new	ADJ
iajs-3916	233	10	observations	observation	NOUN
iajs-3916	233	11	not	not	PART
iajs-3916	233	12	only	only	ADV
iajs-3916	233	13	for	for	ADP
iajs-3916	233	14	justification	justification	NOUN
iajs-3916	233	15	but	but	CCONJ
iajs-3916	233	16	also	also	ADV
iajs-3916	233	17	for	for	ADP
iajs-3916	233	18	additional	additional	ADJ
iajs-3916	233	19	training	training	NOUN
iajs-3916	233	20	of	of	ADP
iajs-3916	233	21	the	the	DET
iajs-3916	233	22	subsequent	subsequent	ADJ
iajs-3916	233	23	place	place	NOUN
iajs-3916	233	24	prediction	prediction	NOUN
iajs-3916	233	25	model	model	NOUN
iajs-3916	233	26	.	.	PUNCT
iajs-3916	234	1	future	future	ADJ
iajs-3916	234	2	research	research	NOUN
iajs-3916	234	3	could	could	AUX
iajs-3916	234	4	integrate	integrate	VERB
iajs-3916	234	5	additional	additional	ADJ
iajs-3916	234	6	metrics	metric	NOUN
iajs-3916	234	7	into	into	ADP
iajs-3916	234	8	the	the	DET
iajs-3916	234	9	dataset	dataset	NOUN
iajs-3916	234	10	used	use	VERB
iajs-3916	234	11	in	in	ADP
iajs-3916	234	12	our	our	PRON
iajs-3916	234	13	trials	trial	NOUN
iajs-3916	234	14	.	.	PUNCT
iajs-3916	235	1	for	for	ADP
iajs-3916	235	2	example	example	NOUN
iajs-3916	235	3	,	,	PUNCT
iajs-3916	235	4	time	time	NOUN
iajs-3916	235	5	could	could	AUX
iajs-3916	235	6	be	be	AUX
iajs-3916	235	7	considered	consider	VERB
iajs-3916	235	8	in	in	ADP
iajs-3916	235	9	the	the	DET
iajs-3916	235	10	future	future	NOUN
iajs-3916	235	11	;	;	PUNCT
iajs-3916	235	12	this	this	PRON
iajs-3916	235	13	would	would	AUX
iajs-3916	235	14	be	be	AUX
iajs-3916	235	15	interesting	interesting	ADJ
iajs-3916	235	16	,	,	PUNCT
iajs-3916	235	17	especially	especially	ADV
iajs-3916	235	18	if	if	SCONJ
iajs-3916	235	19	a	a	DET
iajs-3916	235	20	person	person	NOUN
iajs-3916	235	21	has	have	VERB
iajs-3916	235	22	distinct	distinct	ADJ
iajs-3916	235	23	locations	location	NOUN
iajs-3916	235	24	that	that	PRON
iajs-3916	235	25	can	can	AUX
iajs-3916	235	26	only	only	ADV
iajs-3916	235	27	be	be	AUX
iajs-3916	235	28	distinguished	distinguish	VERB
iajs-3916	235	29	by	by	ADP
iajs-3916	235	30	their	their	PRON
iajs-3916	235	31	time	time	NOUN
iajs-3916	235	32	.	.	PUNCT
iajs-3916	236	1	in	in	ADP
iajs-3916	236	2	the	the	DET
iajs-3916	236	3	future	future	NOUN
iajs-3916	236	4	,	,	PUNCT
iajs-3916	236	5	it	it	PRON
iajs-3916	236	6	may	may	AUX
iajs-3916	236	7	be	be	AUX
iajs-3916	236	8	interesting	interesting	ADJ
iajs-3916	236	9	to	to	PART
iajs-3916	236	10	explore	explore	VERB
iajs-3916	236	11	a	a	DET
iajs-3916	236	12	wider	wide	ADJ
iajs-3916	236	13	variety	variety	NOUN
iajs-3916	236	14	of	of	ADP
iajs-3916	236	15	sensors	sensor	NOUN
iajs-3916	236	16	capable	capable	ADJ
iajs-3916	236	17	of	of	ADP
iajs-3916	236	18	capturing	capture	VERB
iajs-3916	236	19	position	position	NOUN
iajs-3916	236	20	data	datum	NOUN
iajs-3916	236	21	and	and	CCONJ
iajs-3916	236	22	collecting	collect	VERB
iajs-3916	236	23	our	our	PRON
iajs-3916	236	24	dataset	dataset	NOUN
iajs-3916	236	25	.	.	PUNCT
iajs-3916	237	1	additionally	additionally	ADV
iajs-3916	237	2	,	,	PUNCT
iajs-3916	237	3	we	we	PRON
iajs-3916	237	4	could	could	AUX
iajs-3916	237	5	consider	consider	VERB
iajs-3916	237	6	using	use	VERB
iajs-3916	237	7	discrete	discrete	ADJ
iajs-3916	237	8	observations	observation	NOUN
iajs-3916	237	9	in	in	ADP
iajs-3916	237	10	the	the	DET
iajs-3916	237	11	future	future	NOUN
iajs-3916	237	12	instead	instead	ADV
iajs-3916	237	13	of	of	ADP
iajs-3916	237	14	continuous	continuous	ADJ
iajs-3916	237	15	ones	one	NOUN
iajs-3916	237	16	.	.	PUNCT
iajs-3916	238	1	acknowledgment	acknowledgment	NOUN
iajs-3916	238	2	the	the	DET
iajs-3916	238	3	authors	author	NOUN
iajs-3916	238	4	would	would	AUX
iajs-3916	238	5	like	like	VERB
iajs-3916	238	6	to	to	PART
iajs-3916	238	7	thank	thank	VERB
iajs-3916	238	8	the	the	DET
iajs-3916	238	9	university	university	PROPN
iajs-3916	238	10	of	of	ADP
iajs-3916	238	11	baghdad	baghdad	PROPN
iajs-3916	238	12	department	department	PROPN
iajs-3916	238	13	of	of	ADP
iajs-3916	238	14	computer	computer	NOUN
iajs-3916	238	15	in	in	ADP
iajs-3916	238	16	the	the	DET
iajs-3916	238	17	college	college	NOUN
iajs-3916	238	18	of	of	ADP
iajs-3916	238	19	sciences	science	NOUN
iajs-3916	238	20	for	for	ADP
iajs-3916	238	21	their	their	PRON
iajs-3916	238	22	motivation	motivation	NOUN
iajs-3916	238	23	and	and	CCONJ
iajs-3916	238	24	support	support	NOUN
iajs-3916	238	25	.	.	PUNCT
iajs-3916	239	1	conflict	conflict	NOUN
iajs-3916	239	2	of	of	ADP
iajs-3916	239	3	interest	interest	NOUN
iajs-3916	239	4	the	the	DET
iajs-3916	239	5	authors	author	NOUN
iajs-3916	239	6	declare	declare	VERB
iajs-3916	239	7	that	that	SCONJ
iajs-3916	239	8	they	they	PRON
iajs-3916	239	9	have	have	VERB
iajs-3916	239	10	no	no	DET
iajs-3916	239	11	conflicts	conflict	NOUN
iajs-3916	239	12	of	of	ADP
iajs-3916	239	13	interest	interest	NOUN
iajs-3916	239	14	.	.	PUNCT
iajs-3916	240	1	funding	fund	VERB
iajs-3916	240	2	no	no	DET
iajs-3916	240	3	funding	funding	NOUN
iajs-3916	240	4	.	.	PUNCT
iajs-3916	241	1	references	reference	NOUN
iajs-3916	241	2	1	1	NUM
iajs-3916	241	3	.	.	PUNCT
iajs-3916	242	1	zaidi	zaidi	PROPN
iajs-3916	242	2	,	,	PUNCT
iajs-3916	242	3	s.m.a	s.m.a	PROPN
iajs-3916	242	4	.	.	PUNCT
iajs-3916	242	5	;	;	PUNCT
iajs-3916	242	6	chandola	chandola	PROPN
iajs-3916	242	7	,	,	PUNCT
iajs-3916	242	8	v.	v.	PROPN
iajs-3916	242	9	;	;	PUNCT
iajs-3916	242	10	yoo	yoo	PROPN
iajs-3916	242	11	,	,	PUNCT
iajs-3916	242	12	e.-h	e.-h	PROPN
iajs-3916	242	13	.	.	PUNCT
iajs-3916	243	1	dst	dst	NOUN
iajs-3916	243	2	-	-	PUNCT
iajs-3916	243	3	predict	predict	NOUN
iajs-3916	243	4	:	:	PUNCT
iajs-3916	243	5	predicting	predict	VERB
iajs-3916	243	6	individual	individual	ADJ
iajs-3916	243	7	mobility	mobility	NOUN
iajs-3916	243	8	patterns	pattern	NOUN
iajs-3916	243	9	from	from	ADP
iajs-3916	243	10	mobile	mobile	ADJ
iajs-3916	243	11	phone	phone	NOUN
iajs-3916	243	12	gps	gps	PROPN
iajs-3916	243	13	data	datum	NOUN
iajs-3916	243	14	.	.	PUNCT
iajs-3916	244	1	ieee	ieee	NOUN
iajs-3916	244	2	access	access	NOUN
iajs-3916	244	3	2021	2021	NUM
iajs-3916	244	4	,	,	PUNCT
iajs-3916	244	5	9	9	NUM
iajs-3916	244	6	,	,	PUNCT
iajs-3916	244	7	167592–167604	167592–167604	NUM
iajs-3916	244	8	.	.	PUNCT
iajs-3916	245	1	ihjpas	ihjpas	PROPN
iajs-3916	245	2	.	.	PUNCT
iajs-3916	246	1	2024	2024	NUM
iajs-3916	246	2	,	,	PUNCT
iajs-3916	246	3	37(4	37(4	NOUN
iajs-3916	246	4	)	)	PUNCT
iajs-3916	246	5	436	436	NUM
iajs-3916	247	1	https://doi.org/10.1109/access.2021.3134586	https://doi.org/10.1109/access.2021.3134586	PROPN
iajs-3916	247	2	2	2	NUM
iajs-3916	247	3	.	.	X
iajs-3916	247	4	mo	mo	PROPN
iajs-3916	247	5	,	,	PUNCT
iajs-3916	247	6	b.	b.	PROPN
iajs-3916	247	7	;	;	PUNCT
iajs-3916	247	8	zhao	zhao	PROPN
iajs-3916	247	9	,	,	PUNCT
iajs-3916	247	10	z.	z.	PROPN
iajs-3916	247	11	;	;	PUNCT
iajs-3916	247	12	koutsopoulos	koutsopoulos	PROPN
iajs-3916	247	13	,	,	PUNCT
iajs-3916	247	14	h.n	h.n	PROPN
iajs-3916	247	15	.	.	PROPN
iajs-3916	247	16	;	;	PUNCT
iajs-3916	247	17	zhao	zhao	PROPN
iajs-3916	247	18	,	,	PUNCT
iajs-3916	247	19	j.	j.	PROPN
iajs-3916	247	20	individual	individual	ADJ
iajs-3916	247	21	mobility	mobility	NOUN
iajs-3916	247	22	prediction	prediction	NOUN
iajs-3916	247	23	in	in	ADP
iajs-3916	247	24	mass	mass	NOUN
iajs-3916	247	25	transit	transit	NOUN
iajs-3916	247	26	systems	system	NOUN
iajs-3916	247	27	using	use	VERB
iajs-3916	247	28	smart	smart	ADJ
iajs-3916	247	29	card	card	NOUN
iajs-3916	247	30	data	datum	NOUN
iajs-3916	247	31	:	:	PUNCT
iajs-3916	247	32	an	an	DET
iajs-3916	247	33	interpretable	interpretable	ADJ
iajs-3916	247	34	activity	activity	NOUN
iajs-3916	247	35	-	-	PUNCT
iajs-3916	247	36	based	base	VERB
iajs-3916	247	37	hidden	hide	VERB
iajs-3916	247	38	markov	markov	NOUN
iajs-3916	247	39	approach	approach	NOUN
iajs-3916	247	40	.	.	PUNCT
iajs-3916	248	1	ieee	ieee	NOUN
iajs-3916	248	2	transactions	transaction	NOUN
iajs-3916	248	3	on	on	ADP
iajs-3916	248	4	intelligent	intelligent	ADJ
iajs-3916	248	5	transportation	transportation	NOUN
iajs-3916	248	6	systems	system	NOUN
iajs-3916	248	7	2022	2022	NUM
iajs-3916	248	8	,	,	PUNCT
iajs-3916	248	9	23(8	23(8	NUM
iajs-3916	248	10	)	)	PUNCT
iajs-3916	248	11	,	,	PUNCT
iajs-3916	248	12	12014–12026	12014–12026	NUM
iajs-3916	248	13	.	.	PUNCT
iajs-3916	249	1	https://doi.org/10.1109/tits.2021.3109428	https://doi.org/10.1109/tits.2021.3109428	PROPN
iajs-3916	249	2	3	3	X
iajs-3916	249	3	.	.	X
iajs-3916	249	4	aloubade	aloubade	PROPN
iajs-3916	249	5	,	,	PUNCT
iajs-3916	249	6	y.k.a	y.k.a	PROPN
iajs-3916	249	7	.	.	PUNCT
iajs-3916	250	1	developing	develop	VERB
iajs-3916	250	2	and	and	CCONJ
iajs-3916	250	3	organizing	organize	VERB
iajs-3916	250	4	an	an	DET
iajs-3916	250	5	easy	easy	ADJ
iajs-3916	250	6	work	work	NOUN
iajs-3916	250	7	environment	environment	NOUN
iajs-3916	250	8	for	for	ADP
iajs-3916	250	9	users	user	NOUN
iajs-3916	250	10	of	of	ADP
iajs-3916	250	11	computers	computer	NOUN
iajs-3916	250	12	using	use	VERB
iajs-3916	250	13	information	information	NOUN
iajs-3916	250	14	technology	technology	NOUN
iajs-3916	250	15	.	.	PUNCT
iajs-3916	251	1	ibn	ibn	PROPN
iajs-3916	251	2	al	al	PROPN
iajs-3916	251	3	-	-	PUNCT
iajs-3916	251	4	haitham	haitham	PROPN
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iajs-3916	251	6	for	for	ADP
iajs-3916	251	7	pure	pure	ADJ
iajs-3916	251	8	and	and	CCONJ
iajs-3916	251	9	applied	applied	ADJ
iajs-3916	251	10	sciences	science	NOUN
iajs-3916	251	11	2022	2022	NUM
iajs-3916	251	12	,	,	PUNCT
iajs-3916	251	13	35(2	35(2	NUM
iajs-3916	251	14	)	)	PUNCT
iajs-3916	251	15	,	,	PUNCT
iajs-3916	251	16	117–130	117–130	NUM
iajs-3916	251	17	.	.	PUNCT
iajs-3916	252	1	https://doi.org/10.30526/35.2.2808	https://doi.org/10.30526/35.2.2808	ADP
iajs-3916	252	2	4	4	NUM
iajs-3916	252	3	.	.	PUNCT
iajs-3916	253	1	li	li	PROPN
iajs-3916	253	2	,	,	PUNCT
iajs-3916	253	3	q.	q.	PROPN
iajs-3916	253	4	;	;	PUNCT
iajs-3916	253	5	zou	zou	PROPN
iajs-3916	253	6	,	,	PUNCT
iajs-3916	253	7	d.	d.	PROPN
iajs-3916	253	8	;	;	PUNCT
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iajs-3916	253	10	,	,	PUNCT
iajs-3916	253	11	y.	y.	PROPN
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iajs-3916	253	14	travel	travel	NOUN
iajs-3916	253	15	behaviour	behaviour	NOUN
iajs-3916	253	16	and	and	CCONJ
iajs-3916	253	17	collective	collective	ADJ
iajs-3916	253	18	preferences	preference	NOUN
iajs-3916	253	19	for	for	ADP
iajs-3916	253	20	next	next	ADJ
iajs-3916	253	21	location	location	NOUN
iajs-3916	253	22	prediction	prediction	NOUN
iajs-3916	253	23	.	.	PUNCT
iajs-3916	254	1	transportmetrica	transportmetrica	PROPN
iajs-3916	255	1	a	a	PRON
iajs-3916	255	2	:	:	PUNCT
iajs-3916	255	3	transport	transport	NOUN
iajs-3916	255	4	science	science	NOUN
iajs-3916	255	5	2022	2022	NUM
iajs-3916	255	6	,	,	PUNCT
iajs-3916	255	7	18(3	18(3	NUM
iajs-3916	255	8	)	)	PUNCT
iajs-3916	255	9	,	,	PUNCT
iajs-3916	255	10	1754–1776	1754–1776	NUM
iajs-3916	255	11	,	,	PUNCT
iajs-3916	255	12	https://doi.org/10.1080/23249935.2021.1968066	https://doi.org/10.1080/23249935.2021.1968066	PROPN
iajs-3916	255	13	5	5	NUM
iajs-3916	255	14	.	.	X
iajs-3916	255	15	wang	wang	PROPN
iajs-3916	255	16	,	,	PUNCT
iajs-3916	255	17	x.	x.	PROPN
iajs-3916	255	18	;	;	PUNCT
iajs-3916	255	19	fang	fang	X
iajs-3916	255	20	,	,	PUNCT
iajs-3916	255	21	m.	m.	NOUN
iajs-3916	255	22	;	;	PUNCT
iajs-3916	255	23	zeng	zeng	PROPN
iajs-3916	255	24	,	,	PUNCT
iajs-3916	255	25	z.	z.	PROPN
iajs-3916	255	26	;	;	PUNCT
iajs-3916	255	27	cheng	cheng	PROPN
iajs-3916	255	28	,	,	PUNCT
iajs-3916	255	29	t.	t.	PROPN
iajs-3916	255	30	where	where	SCONJ
iajs-3916	255	31	would	would	AUX
iajs-3916	255	32	i	i	PRON
iajs-3916	255	33	go	go	VERB
iajs-3916	255	34	next	next	ADV
iajs-3916	255	35	?	?	PUNCT
iajs-3916	256	1	large	large	ADJ
iajs-3916	256	2	language	language	NOUN
iajs-3916	256	3	models	model	NOUN
iajs-3916	256	4	as	as	ADP
iajs-3916	256	5	human	human	ADJ
iajs-3916	256	6	mobility	mobility	NOUN
iajs-3916	256	7	predictors	predictor	NOUN
iajs-3916	256	8	.	.	PUNCT
iajs-3916	257	1	arxiv	arxiv	PROPN
iajs-3916	257	2	preprint	preprint	NOUN
iajs-3916	257	3	arxiv	arxiv	PROPN
iajs-3916	257	4	2023	2023	NUM
iajs-3916	257	5	,	,	PUNCT
iajs-3916	257	6	arxiv:2308.15197	arxiv:2308.15197	NOUN
iajs-3916	257	7	.	.	PUNCT
iajs-3916	258	1	https://doi.org/10.48550/arxiv.2308.1519	https://doi.org/10.48550/arxiv.2308.1519	DET
iajs-3916	258	2	6	6	NUM
iajs-3916	258	3	.	.	PUNCT
iajs-3916	258	4	alqaysi	alqaysi	PROPN
iajs-3916	258	5	,	,	PUNCT
iajs-3916	258	6	m.k	m.k	PROPN
iajs-3916	258	7	.	.	PUNCT
iajs-3916	258	8	;	;	PUNCT
iajs-3916	258	9	salam	salam	PROPN
iajs-3916	258	10	ali	ali	PROPN
iajs-3916	258	11	,	,	PUNCT
iajs-3916	258	12	s.f.b	s.f.b	PROPN
iajs-3916	258	13	.	.	PUNCT
iajs-3916	258	14	spatiotemporal	spatiotemporal	ADJ
iajs-3916	258	15	modeling	modeling	NOUN
iajs-3916	258	16	in	in	ADP
iajs-3916	258	17	wireless	wireless	ADJ
iajs-3916	258	18	communication	communication	NOUN
iajs-3916	258	19	networks	network	NOUN
iajs-3916	258	20	.	.	PUNCT
iajs-3916	259	1	baghdad	baghdad	PROPN
iajs-3916	259	2	science	science	PROPN
iajs-3916	259	3	journal	journal	PROPN
iajs-3916	259	4	2022	2022	NUM
iajs-3916	259	5	,	,	PUNCT
iajs-3916	259	6	20(3	20(3	NOUN
iajs-3916	259	7	)	)	PUNCT
iajs-3916	259	8	,	,	PUNCT
iajs-3916	259	9	0904	0904	NUM
iajs-3916	259	10	-	-	SYM
iajs-3916	259	11	0904	0904	NUM
iajs-3916	259	12	.	.	PUNCT
iajs-3916	260	1	https://dx.doi.org/10.21123/bsj.2022.6848	https://dx.doi.org/10.21123/bsj.2022.6848	PROPN
iajs-3916	261	1	7	7	X
iajs-3916	261	2	.	.	PUNCT
iajs-3916	262	1	hong	hong	PROPN
iajs-3916	262	2	,	,	PUNCT
iajs-3916	262	3	y.	y.	PROPN
iajs-3916	262	4	;	;	PUNCT
iajs-3916	262	5	martin	martin	PROPN
iajs-3916	262	6	,	,	PUNCT
iajs-3916	262	7	h.	h.	PROPN
iajs-3916	262	8	;	;	PUNCT
iajs-3916	262	9	raubal	raubal	PROPN
iajs-3916	262	10	,	,	PUNCT
iajs-3916	262	11	m.	m.	NOUN
iajs-3916	262	12	how	how	SCONJ
iajs-3916	262	13	do	do	AUX
iajs-3916	262	14	you	you	PRON
iajs-3916	262	15	go	go	VERB
iajs-3916	262	16	where	where	SCONJ
iajs-3916	262	17	?	?	PUNCT
iajs-3916	263	1	improving	improve	VERB
iajs-3916	263	2	next	next	ADJ
iajs-3916	263	3	location	location	NOUN
iajs-3916	263	4	prediction	prediction	NOUN
iajs-3916	263	5	by	by	ADP
iajs-3916	263	6	learning	learn	VERB
iajs-3916	263	7	travel	travel	NOUN
iajs-3916	263	8	mode	mode	NOUN
iajs-3916	263	9	information	information	NOUN
iajs-3916	263	10	using	use	VERB
iajs-3916	263	11	transformers	transformer	NOUN
iajs-3916	263	12	.	.	PUNCT
iajs-3916	264	1	in	in	ADP
iajs-3916	264	2	proceedings	proceeding	NOUN
iajs-3916	264	3	of	of	ADP
iajs-3916	264	4	the	the	DET
iajs-3916	264	5	30th	30th	ADJ
iajs-3916	264	6	international	international	ADJ
iajs-3916	264	7	conference	conference	NOUN
iajs-3916	264	8	on	on	ADP
iajs-3916	264	9	advances	advance	NOUN
iajs-3916	264	10	in	in	ADP
iajs-3916	264	11	geographic	geographic	ADJ
iajs-3916	264	12	information	information	NOUN
iajs-3916	264	13	systems	system	NOUN
iajs-3916	264	14	,	,	PUNCT
iajs-3916	264	15	seattle	seattle	PROPN
iajs-3916	264	16	,	,	PUNCT
iajs-3916	264	17	washington	washington	PROPN
iajs-3916	264	18	,	,	PUNCT
iajs-3916	264	19	2022	2022	NUM
iajs-3916	264	20	,	,	PUNCT
iajs-3916	264	21	article	article	NOUN
iajs-3916	264	22	no	no	INTJ
iajs-3916	264	23	.	.	PUNCT
iajs-3916	264	24	:	:	PUNCT
iajs-3916	264	25	61	61	NUM
iajs-3916	264	26	,	,	PUNCT
iajs-3916	264	27	1	1	NUM
iajs-3916	264	28	-	-	SYM
iajs-3916	264	29	10	10	NUM
iajs-3916	264	30	.	.	PUNCT
iajs-3916	264	31	https://doi.org/10.1145/3557915.3560996	https://doi.org/10.1145/3557915.3560996	VERB
iajs-3916	264	32	8	8	NUM
iajs-3916	264	33	.	.	PUNCT
iajs-3916	264	34	alqaysi	alqaysi	PROPN
iajs-3916	264	35	,	,	PUNCT
iajs-3916	264	36	m.k	m.k	PROPN
iajs-3916	264	37	.	.	PUNCT
iajs-3916	264	38	;	;	PUNCT
iajs-3916	264	39	behadili	behadili	NOUN
iajs-3916	264	40	,	,	PUNCT
iajs-3916	264	41	s.f	s.f	PROPN
iajs-3916	264	42	.	.	PROPN
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iajs-3916	264	44	model	model	NOUN
iajs-3916	264	45	for	for	ADP
iajs-3916	264	46	flow	flow	NOUN
iajs-3916	264	47	migration	migration	NOUN
iajs-3916	264	48	within	within	ADP
iajs-3916	264	49	wireless	wireless	ADJ
iajs-3916	264	50	communication	communication	NOUN
iajs-3916	264	51	networks	network	NOUN
iajs-3916	264	52	.	.	PUNCT
iajs-3916	265	1	iraqi	iraqi	ADJ
iajs-3916	265	2	journal	journal	PROPN
iajs-3916	265	3	science	science	PROPN
iajs-3916	265	4	2022	2022	NUM
iajs-3916	265	5	,	,	PUNCT
iajs-3916	265	6	63(10	63(10	NOUN
iajs-3916	265	7	)	)	PUNCT
iajs-3916	265	8	,	,	PUNCT
iajs-3916	265	9	4474–4487	4474–4487	NUM
iajs-3916	265	10	.	.	PUNCT
iajs-3916	265	11	https://doi.org/10.24996/ijs.2022.63.10.32	https://doi.org/10.24996/ijs.2022.63.10.32	PROPN
iajs-3916	265	12	9	9	NUM
iajs-3916	265	13	.	.	PUNCT
iajs-3916	265	14	de	de	X
iajs-3916	265	15	barrena	barrena	X
iajs-3916	265	16	,	,	PUNCT
iajs-3916	265	17	t.f	t.f	PROPN
iajs-3916	265	18	.	.	PROPN
iajs-3916	265	19	;	;	PUNCT
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iajs-3916	265	21	,	,	PUNCT
iajs-3916	265	22	j.l	j.l	PROPN
iajs-3916	265	23	.	.	PROPN
iajs-3916	265	24	;	;	PUNCT
iajs-3916	265	25	garcía	garcía	ADJ
iajs-3916	265	26	,	,	PUNCT
iajs-3916	265	27	a.	a.	NOUN
iajs-3916	265	28	;	;	PUNCT
iajs-3916	265	29	badiola	badiola	PROPN
iajs-3916	265	30	,	,	PUNCT
iajs-3916	265	31	x.	x.	NOUN
iajs-3916	265	32	;	;	PUNCT
iajs-3916	265	33	de	de	X
iajs-3916	265	34	buruaga	buruaga	NOUN
iajs-3916	265	35	,	,	PUNCT
iajs-3916	265	36	m.s	m.s	PROPN
iajs-3916	265	37	.	.	PROPN
iajs-3916	265	38	;	;	PUNCT
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iajs-3916	265	40	,	,	PUNCT
iajs-3916	265	41	j.	j.	PROPN
iajs-3916	265	42	tool	tool	PROPN
iajs-3916	265	43	remaining	remain	VERB
iajs-3916	265	44	useful	useful	ADJ
iajs-3916	265	45	life	life	NOUN
iajs-3916	265	46	prediction	prediction	NOUN
iajs-3916	265	47	using	use	VERB
iajs-3916	265	48	bidirectional	bidirectional	ADJ
iajs-3916	265	49	recurrent	recurrent	ADJ
iajs-3916	265	50	neural	neural	ADJ
iajs-3916	265	51	networks	network	NOUN
iajs-3916	265	52	(	(	PUNCT
iajs-3916	265	53	brnn	brnn	NOUN
iajs-3916	265	54	)	)	PUNCT
iajs-3916	265	55	.	.	PUNCT
iajs-3916	266	1	the	the	DET
iajs-3916	266	2	international	international	ADJ
iajs-3916	266	3	journal	journal	NOUN
iajs-3916	266	4	of	of	ADP
iajs-3916	266	5	advanced	advanced	ADJ
iajs-3916	266	6	manufacturing	manufacturing	NOUN
iajs-3916	266	7	technology	technology	NOUN
iajs-3916	266	8	2023	2023	NUM
iajs-3916	266	9	,	,	PUNCT
iajs-3916	266	10	125(9	125(9	NUM
iajs-3916	266	11	)	)	PUNCT
iajs-3916	266	12	,	,	PUNCT
iajs-3916	266	13	4027–4045	4027–4045	NOUN
iajs-3916	266	14	.	.	PUNCT
iajs-3916	266	15	https://doi.org/10.1007/s00170-023-10811-9	https://doi.org/10.1007/s00170-023-10811-9	NUM
iajs-3916	266	16	10	10	NUM
iajs-3916	266	17	.	.	PUNCT
iajs-3916	267	1	mijwil	mijwil	PROPN
iajs-3916	267	2	,	,	PUNCT
iajs-3916	267	3	m.	m.	NOUN
iajs-3916	267	4	;	;	PUNCT
iajs-3916	267	5	salman	salman	PROPN
iajs-3916	267	6	shukur	shukur	PROPN
iajs-3916	267	7	,	,	PUNCT
iajs-3916	267	8	b.	b.	PROPN
iajs-3916	267	9	a	a	DET
iajs-3916	267	10	scoping	scope	VERB
iajs-3916	267	11	review	review	NOUN
iajs-3916	267	12	of	of	ADP
iajs-3916	267	13	machine	machine	NOUN
iajs-3916	267	14	learning	learn	VERB
iajs-3916	267	15	techniques	technique	NOUN
iajs-3916	267	16	and	and	CCONJ
iajs-3916	267	17	their	their	PRON
iajs-3916	267	18	utilisation	utilisation	NOUN
iajs-3916	267	19	in	in	ADP
iajs-3916	267	20	predicting	predict	VERB
iajs-3916	267	21	heart	heart	NOUN
iajs-3916	267	22	diseases	disease	NOUN
iajs-3916	267	23	.	.	PUNCT
iajs-3916	268	1	ibn	ibn	PROPN
iajs-3916	268	2	al	al	PROPN
iajs-3916	268	3	-	-	PUNCT
iajs-3916	268	4	haitham	haitham	PROPN
iajs-3916	268	5	journal	journal	PROPN
iajs-3916	268	6	for	for	ADP
iajs-3916	268	7	pure	pure	ADJ
iajs-3916	268	8	and	and	CCONJ
iajs-3916	268	9	applied	applied	ADJ
iajs-3916	268	10	sciences	science	NOUN
iajs-3916	268	11	2022	2022	NUM
iajs-3916	268	12	,	,	PUNCT
iajs-3916	268	13	35(3	35(3	NUM
iajs-3916	268	14	)	)	PUNCT
iajs-3916	268	15	,	,	PUNCT
iajs-3916	268	16	175–189	175–189	NUM
iajs-3916	268	17	.	.	PUNCT
iajs-3916	269	1	https://doi.org/10.30526/35.3.2813	https://doi.org/10.30526/35.3.2813	NOUN
iajs-3916	269	2	11	11	NUM
iajs-3916	269	3	.	.	PUNCT
iajs-3916	270	1	mo	mo	PROPN
iajs-3916	270	2	,	,	PUNCT
iajs-3916	270	3	b.	b.	PROPN
iajs-3916	270	4	;	;	PUNCT
iajs-3916	270	5	zhao	zhao	PROPN
iajs-3916	270	6	,	,	PUNCT
iajs-3916	270	7	z.	z.	PROPN
iajs-3916	270	8	;	;	PUNCT
iajs-3916	270	9	koutsopoulos	koutsopoulos	PROPN
iajs-3916	270	10	,	,	PUNCT
iajs-3916	270	11	h.n	h.n	PROPN
iajs-3916	270	12	.	.	PROPN
iajs-3916	270	13	;	;	PUNCT
iajs-3916	270	14	zhao	zhao	PROPN
iajs-3916	270	15	,	,	PUNCT
iajs-3916	270	16	j.	j.	PROPN
iajs-3916	270	17	individual	individual	PROPN
iajs-3916	270	18	mobility	mobility	PROPN
iajs-3916	270	19	prediction	prediction	NOUN
iajs-3916	270	20	:	:	PUNCT
iajs-3916	270	21	an	an	DET
iajs-3916	270	22	interpretable	interpretable	ADJ
iajs-3916	270	23	activity	activity	NOUN
iajs-3916	270	24	-	-	PUNCT
iajs-3916	270	25	based	base	VERB
iajs-3916	270	26	hidden	hide	VERB
iajs-3916	270	27	markov	markov	NOUN
iajs-3916	270	28	approach	approach	NOUN
iajs-3916	270	29	.	.	PUNCT
iajs-3916	271	1	arxiv	arxiv	PROPN
iajs-3916	271	2	preprint	preprint	NOUN
iajs-3916	271	3	arxiv	arxiv	PROPN
iajs-3916	271	4	2021	2021	NUM
iajs-3916	271	5	,	,	PUNCT
iajs-3916	271	6	arxiv	arxiv	NOUN
iajs-3916	271	7	:	:	PUNCT
iajs-3916	271	8	2101.03996	2101.03996	X
iajs-3916	271	9	.	.	PUNCT
iajs-3916	272	1	https://doi.org/10.48550/arxiv.2101.03996	https://doi.org/10.48550/arxiv.2101.03996	NOUN
iajs-3916	272	2	12	12	NUM
iajs-3916	272	3	.	.	PUNCT
iajs-3916	273	1	chen	chen	PROPN
iajs-3916	273	2	,	,	PUNCT
iajs-3916	273	3	p.	p.	PROPN
iajs-3916	273	4	;	;	PUNCT
iajs-3916	273	5	shi	shi	PROPN
iajs-3916	273	6	,	,	PUNCT
iajs-3916	273	7	w.	w.	PROPN
iajs-3916	273	8	;	;	PUNCT
iajs-3916	273	9	zhou	zhou	PROPN
iajs-3916	273	10	,	,	PUNCT
iajs-3916	273	11	x.	x.	PROPN
iajs-3916	273	12	;	;	PUNCT
iajs-3916	273	13	liu	liu	PROPN
iajs-3916	273	14	,	,	PUNCT
iajs-3916	273	15	z.	z.	PROPN
iajs-3916	273	16	;	;	PUNCT
iajs-3916	273	17	fu	fu	PROPN
iajs-3916	273	18	,	,	PUNCT
iajs-3916	273	19	x.	x.	PROPN
iajs-3916	273	20	stlp	stlp	PROPN
iajs-3916	273	21	-	-	PUNCT
iajs-3916	273	22	gsm	gsm	PROPN
iajs-3916	273	23	:	:	PUNCT
iajs-3916	273	24	a	a	DET
iajs-3916	273	25	method	method	NOUN
iajs-3916	273	26	to	to	PART
iajs-3916	273	27	predict	predict	VERB
iajs-3916	273	28	future	future	ADJ
iajs-3916	273	29	locations	location	NOUN
iajs-3916	273	30	of	of	ADP
iajs-3916	273	31	individuals	individual	NOUN
iajs-3916	273	32	based	base	VERB
iajs-3916	273	33	on	on	ADP
iajs-3916	273	34	geotagged	geotagge	VERB
iajs-3916	273	35	social	social	ADJ
iajs-3916	273	36	media	medium	NOUN
iajs-3916	273	37	data	datum	NOUN
iajs-3916	273	38	.	.	PUNCT
iajs-3916	274	1	international	international	ADJ
iajs-3916	274	2	journal	journal	NOUN
iajs-3916	274	3	of	of	ADP
iajs-3916	274	4	geographical	geographical	ADJ
iajs-3916	274	5	information	information	NOUN
iajs-3916	274	6	science	science	NOUN
iajs-3916	274	7	2019	2019	NUM
iajs-3916	274	8	,	,	PUNCT
iajs-3916	274	9	33(12	33(12	NUM
iajs-3916	274	10	)	)	PUNCT
iajs-3916	274	11	,	,	PUNCT
iajs-3916	274	12	2337–2362	2337–2362	NUM
iajs-3916	274	13	.	.	PUNCT
iajs-3916	275	1	https://doi.org/10.1080/13658816.2019.1630630	https://doi.org/10.1080/13658816.2019.1630630	PROPN
iajs-3916	275	2	13	13	NUM
iajs-3916	275	3	.	.	PUNCT
iajs-3916	276	1	asad	asad	PROPN
iajs-3916	276	2	,	,	PUNCT
iajs-3916	276	3	s.m	s.m	PROPN
iajs-3916	276	4	.	.	PROPN
iajs-3916	276	5	user	user	NOUN
iajs-3916	276	6	mobility	mobility	PROPN
iajs-3916	276	7	prediction	prediction	NOUN
iajs-3916	276	8	and	and	CCONJ
iajs-3916	276	9	management	management	NOUN
iajs-3916	276	10	using	use	VERB
iajs-3916	276	11	machine	machine	NOUN
iajs-3916	276	12	learning	learning	NOUN
iajs-3916	276	13	,	,	PUNCT
iajs-3916	276	14	doctoral	doctoral	ADJ
iajs-3916	276	15	dissertation	dissertation	NOUN
iajs-3916	276	16	,	,	PUNCT
iajs-3916	276	17	university	university	NOUN
iajs-3916	276	18	of	of	ADP
iajs-3916	276	19	glasgow	glasgow	PROPN
iajs-3916	276	20	,	,	PUNCT
iajs-3916	276	21	2022	2022	NUM
iajs-3916	276	22	.	.	PUNCT
iajs-3916	277	1	https://doi.org/10.5525/gla.thesis.83181	https://doi.org/10.5525/gla.thesis.83181	PROPN
iajs-3916	277	2	14	14	NUM
iajs-3916	277	3	.	.	PUNCT
iajs-3916	277	4	yan	yan	PROPN
iajs-3916	277	5	,	,	PUNCT
iajs-3916	277	6	m.	m.	NOUN
iajs-3916	277	7	;	;	PUNCT
iajs-3916	277	8	li	li	PROPN
iajs-3916	277	9	,	,	PUNCT
iajs-3916	277	10	s.	s.	PROPN
iajs-3916	277	11	;	;	PUNCT
iajs-3916	277	12	chan	chan	PROPN
iajs-3916	277	13	,	,	PUNCT
iajs-3916	277	14	c.a	c.a	PROPN
iajs-3916	277	15	.	.	PROPN
iajs-3916	277	16	;	;	PUNCT
iajs-3916	277	17	shen	shen	PROPN
iajs-3916	277	18	,	,	PUNCT
iajs-3916	277	19	y.	y.	PROPN
iajs-3916	277	20	;	;	PUNCT
iajs-3916	277	21	yu	yu	PROPN
iajs-3916	277	22	,	,	PUNCT
iajs-3916	277	23	y.	y.	NOUN
iajs-3916	277	24	mobility	mobility	PROPN
iajs-3916	277	25	prediction	prediction	NOUN
iajs-3916	277	26	using	use	VERB
iajs-3916	277	27	a	a	DET
iajs-3916	277	28	weighted	weight	VERB
iajs-3916	277	29	markov	markov	NOUN
iajs-3916	277	30	model	model	NOUN
iajs-3916	277	31	based	base	VERB
iajs-3916	277	32	on	on	ADP
iajs-3916	277	33	mobile	mobile	ADJ
iajs-3916	277	34	user	user	NOUN
iajs-3916	277	35	classification	classification	NOUN
iajs-3916	277	36	.	.	PUNCT
iajs-3916	278	1	sensors	sensor	NOUN
iajs-3916	278	2	2021	2021	NUM
iajs-3916	278	3	,	,	PUNCT
iajs-3916	278	4	21(5	21(5	NUM
iajs-3916	278	5	)	)	PUNCT
iajs-3916	278	6	,	,	PUNCT
iajs-3916	278	7	1740	1740	NUM
iajs-3916	278	8	.	.	PUNCT
iajs-3916	279	1	https://doi.org/10.3390/s21051740	https://doi.org/10.3390/s21051740	NUM
iajs-3916	279	2	15	15	NUM
iajs-3916	279	3	.	.	PUNCT
iajs-3916	280	1	luca	luca	PROPN
iajs-3916	280	2	,	,	PUNCT
iajs-3916	280	3	m.	m.	NOUN
iajs-3916	280	4	;	;	PUNCT
iajs-3916	280	5	pappalardo	pappalardo	PROPN
iajs-3916	280	6	,	,	PUNCT
iajs-3916	280	7	l.	l.	PROPN
iajs-3916	280	8	;	;	PUNCT
iajs-3916	280	9	lepri	lepri	PROPN
iajs-3916	280	10	,	,	PUNCT
iajs-3916	280	11	b.	b.	PROPN
iajs-3916	280	12	;	;	PUNCT
iajs-3916	280	13	barlacchi	barlacchi	PROPN
iajs-3916	280	14	,	,	PUNCT
iajs-3916	280	15	g.	g.	PROPN
iajs-3916	280	16	trajectory	trajectory	PROPN
iajs-3916	280	17	test	test	NOUN
iajs-3916	280	18	-	-	PUNCT
iajs-3916	280	19	train	train	NOUN
iajs-3916	280	20	overlap	overlap	NOUN
iajs-3916	280	21	in	in	ADP
iajs-3916	280	22	next	next	ADJ
iajs-3916	280	23	-	-	PUNCT
iajs-3916	280	24	location	location	NOUN
iajs-3916	280	25	prediction	prediction	NOUN
iajs-3916	280	26	datasets	dataset	NOUN
iajs-3916	280	27	.	.	PUNCT
iajs-3916	281	1	machine	machine	NOUN
iajs-3916	281	2	learning	learn	VERB
iajs-3916	281	3	2023	2023	NUM
iajs-3916	281	4	,	,	PUNCT
iajs-3916	281	5	112(11	112(11	NUM
iajs-3916	281	6	)	)	PUNCT
iajs-3916	281	7	,	,	PUNCT
iajs-3916	281	8	4597–4634	4597–4634	NUM
iajs-3916	281	9	.	.	PUNCT
iajs-3916	282	1	https://doi.org/10.1007/s10994023-06386-x	https://doi.org/10.1007/s10994023-06386-x	PROPN
iajs-3916	282	2	16	16	NUM
iajs-3916	282	3	.	.	PUNCT
iajs-3916	283	1	graser	graser	PROPN
iajs-3916	283	2	,	,	PUNCT
iajs-3916	283	3	a.	a.	PROPN
iajs-3916	283	4	;	;	PUNCT
iajs-3916	283	5	jalali	jalali	PROPN
iajs-3916	283	6	,	,	PUNCT
iajs-3916	283	7	a.n	a.n	PROPN
iajs-3916	283	8	.	.	PROPN
iajs-3916	283	9	;	;	PUNCT
iajs-3916	283	10	lampert	lampert	PROPN
iajs-3916	283	11	,	,	PUNCT
iajs-3916	283	12	j.	j.	PROPN
iajs-3916	283	13	;	;	PUNCT
iajs-3916	283	14	weißenfeld	weißenfeld	PROPN
iajs-3916	283	15	,	,	PUNCT
iajs-3916	283	16	a.	a.	NOUN
iajs-3916	283	17	;	;	PUNCT
iajs-3916	283	18	janowicz	janowicz	PROPN
iajs-3916	283	19	,	,	PUNCT
iajs-3916	283	20	k.	k.	PROPN
iajs-3916	283	21	deep	deep	PROPN
iajs-3916	283	22	learning	learning	NOUN
iajs-3916	283	23	from	from	ADP
iajs-3916	283	24	trajectory	trajectory	NOUN
iajs-3916	283	25	data	datum	NOUN
iajs-3916	283	26	:	:	PUNCT
iajs-3916	283	27	a	a	DET
iajs-3916	283	28	review	review	NOUN
iajs-3916	283	29	of	of	ADP
iajs-3916	283	30	deep	deep	ADJ
iajs-3916	283	31	neural	neural	ADJ
iajs-3916	283	32	networks	network	NOUN
iajs-3916	283	33	and	and	CCONJ
iajs-3916	283	34	the	the	DET
iajs-3916	283	35	trajectory	trajectory	NOUN
iajs-3916	283	36	data	datum	NOUN
iajs-3916	283	37	representations	representation	NOUN
iajs-3916	283	38	to	to	PART
iajs-3916	283	39	train	train	VERB
iajs-3916	283	40	them	they	PRON
iajs-3916	283	41	.	.	PUNCT
iajs-3916	284	1	in	in	ADP
iajs-3916	284	2	proceedings	proceeding	NOUN
iajs-3916	284	3	of	of	ADP
iajs-3916	284	4	the	the	DET
iajs-3916	284	5	edbt	edbt	ADJ
iajs-3916	284	6	/	/	SYM
iajs-3916	284	7	icdt	icdt	NOUN
iajs-3916	284	8	workshops	workshop	NOUN
iajs-3916	284	9	,	,	PUNCT
iajs-3916	284	10	2023	2023	NUM
iajs-3916	284	11	.	.	PUNCT
iajs-3916	285	1	17	17	NUM
iajs-3916	285	2	.	.	PUNCT
iajs-3916	285	3	liao	liao	PROPN
iajs-3916	285	4	,	,	PUNCT
iajs-3916	285	5	d.	d.	PROPN
iajs-3916	285	6	;	;	PUNCT
iajs-3916	285	7	liu	liu	PROPN
iajs-3916	285	8	,	,	PUNCT
iajs-3916	285	9	w.	w.	PROPN
iajs-3916	285	10	;	;	PUNCT
iajs-3916	285	11	zhong	zhong	PROPN
iajs-3916	285	12	,	,	PUNCT
iajs-3916	285	13	y.	y.	PROPN
iajs-3916	285	14	;	;	PUNCT
iajs-3916	285	15	li	li	PROPN
iajs-3916	285	16	,	,	PUNCT
iajs-3916	285	17	j.	j.	PROPN
iajs-3916	285	18	;	;	PUNCT
iajs-3916	285	19	wang	wang	PROPN
iajs-3916	285	20	,	,	PUNCT
iajs-3916	285	21	g.	g.	PROPN
iajs-3916	285	22	predicting	predict	VERB
iajs-3916	285	23	activity	activity	NOUN
iajs-3916	285	24	and	and	CCONJ
iajs-3916	285	25	location	location	NOUN
iajs-3916	285	26	with	with	ADP
iajs-3916	285	27	multi	multi	ADJ
iajs-3916	285	28	-	-	ADJ
iajs-3916	285	29	task	task	ADJ
iajs-3916	285	30	context	context	NOUN
iajs-3916	285	31	aware	aware	ADJ
iajs-3916	285	32	recurrent	recurrent	ADJ
iajs-3916	285	33	neural	neural	ADJ
iajs-3916	285	34	network	network	NOUN
iajs-3916	285	35	.	.	PUNCT
iajs-3916	286	1	ijcai	ijcai	PROPN
iajs-3916	286	2	int	int	PROPN
iajs-3916	286	3	.	.	PUNCT
iajs-3916	287	1	jt	jt	PROPN
iajs-3916	287	2	.	.	PUNCT
iajs-3916	287	3	conf	conf	PROPN
iajs-3916	287	4	.	.	PUNCT
iajs-3916	288	1	artif	artif	PROPN
iajs-3916	288	2	.	.	PUNCT
iajs-3916	289	1	intell	intell	PROPN
iajs-3916	289	2	.	.	PUNCT
iajs-3916	290	1	2018	2018	NUM
iajs-3916	290	2	,	,	PUNCT
iajs-3916	290	3	3435–3441	3435–3441	NUM
iajs-3916	290	4	.	.	PUNCT
iajs-3916	290	5	https://doi.org/10.24963/ijcai.2018/477	https://doi.org/10.24963/ijcai.2018/477	NOUN
iajs-3916	290	6	18	18	NUM
iajs-3916	290	7	.	.	PUNCT
iajs-3916	291	1	gao	gao	PROPN
iajs-3916	291	2	,	,	PUNCT
iajs-3916	291	3	q.	q.	PROPN
iajs-3916	291	4	;	;	PUNCT
iajs-3916	291	5	zhou	zhou	PROPN
iajs-3916	291	6	,	,	PUNCT
iajs-3916	291	7	f.	f.	PROPN
iajs-3916	291	8	;	;	PUNCT
iajs-3916	291	9	trajcevski	trajcevski	NOUN
iajs-3916	291	10	,	,	PUNCT
iajs-3916	291	11	g.	g.	PROPN
iajs-3916	291	12	;	;	PUNCT
iajs-3916	291	13	zhang	zhang	PROPN
iajs-3916	291	14	,	,	PUNCT
iajs-3916	291	15	k.	k.	PROPN
iajs-3916	291	16	;	;	PUNCT
iajs-3916	291	17	zhong	zhong	PROPN
iajs-3916	291	18	,	,	PUNCT
iajs-3916	291	19	t.	t.	PROPN
iajs-3916	291	20	;	;	PUNCT
iajs-3916	291	21	zhang	zhang	PROPN
iajs-3916	291	22	,	,	PUNCT
iajs-3916	291	23	f.	f.	PROPN
iajs-3916	291	24	predicting	predict	VERB
iajs-3916	291	25	human	human	ADJ
iajs-3916	291	26	mobility	mobility	NOUN
iajs-3916	291	27	via	via	ADP
iajs-3916	291	28	variational	variational	ADJ
iajs-3916	291	29	attention	attention	NOUN
iajs-3916	291	30	.	.	PUNCT
iajs-3916	292	1	in	in	ADP
iajs-3916	292	2	proceedings	proceeding	NOUN
iajs-3916	292	3	of	of	ADP
iajs-3916	292	4	the	the	DET
iajs-3916	292	5	the	the	DET
iajs-3916	292	6	world	world	NOUN
iajs-3916	292	7	wide	wide	ADJ
iajs-3916	292	8	web	web	NOUN
iajs-3916	292	9	conference	conference	NOUN
iajs-3916	292	10	.	.	PUNCT
iajs-3916	293	1	2019	2019	NUM
iajs-3916	293	2	,	,	PUNCT
iajs-3916	293	3	2750	2750	NUM
iajs-3916	293	4	-	-	SYM
iajs-3916	293	5	2756	2756	NUM
iajs-3916	293	6	.	.	PUNCT
iajs-3916	294	1	https://doi.org/10.1109/access.2021.3134586	https://doi.org/10.1109/access.2021.3134586	PROPN
iajs-3916	294	2	https://doi.org/10.1109/tits.2021.3109428	https://doi.org/10.1109/tits.2021.3109428	PROPN
iajs-3916	294	3	https://doi.org/10.1080/23249935.2021.1968066	https://doi.org/10.1080/23249935.2021.1968066	PUNCT
iajs-3916	295	1	https://doi.org/10.48550/arxiv.2308.1519	https://doi.org/10.48550/arxiv.2308.1519	PROPN
iajs-3916	295	2	https://dx.doi.org/10.21123/bsj.2022.6848	https://dx.doi.org/10.21123/bsj.2022.6848	PROPN
iajs-3916	295	3	https://doi.org/10.1145/3557915.3560996	https://doi.org/10.1145/3557915.3560996	NOUN
iajs-3916	295	4	https://doi.org/10.24996/ijs.2022.63.10.32	https://doi.org/10.24996/ijs.2022.63.10.32	NOUN
iajs-3916	295	5	https://doi.org/10.30526/35.3.2813	https://doi.org/10.30526/35.3.2813	PROPN
iajs-3916	295	6	https://doi.org/10.5525/gla.thesis.83181	https://doi.org/10.5525/gla.thesis.83181	PROPN
iajs-3916	295	7	https://doi.org/10.3390/s21051740	https://doi.org/10.3390/s21051740	NUM
iajs-3916	295	8	https://doi.org/10.24963/ijcai.2018/477	https://doi.org/10.24963/ijcai.2018/477	NOUN
iajs-3916	295	9	ihjpas	ihjpa	VERB
iajs-3916	295	10	.	.	PUNCT
iajs-3916	296	1	2024	2024	NUM
iajs-3916	296	2	,	,	PUNCT
iajs-3916	296	3	37(4	37(4	NOUN
iajs-3916	296	4	)	)	PUNCT
iajs-3916	296	5	437	437	NUM
iajs-3916	296	6	https://doi.org/10.1145/3308558.331361	https://doi.org/10.1145/3308558.331361	NOUN
iajs-3916	296	7	19	19	NUM
iajs-3916	296	8	.	.	PUNCT
iajs-3916	297	1	k	k	X
iajs-3916	297	2	,	,	PUNCT
iajs-3916	297	3	prinz	prinz	PROPN
iajs-3916	297	4	.	.	PUNCT
iajs-3916	298	1	next	next	ADJ
iajs-3916	298	2	place	place	NOUN
iajs-3916	298	3	prediction	prediction	NOUN
iajs-3916	298	4	with	with	ADP
iajs-3916	298	5	hidden	hide	VERB
iajs-3916	298	6	markov	markov	NOUN
iajs-3916	298	7	models	model	NOUN
iajs-3916	298	8	.	.	PUNCT
iajs-3916	299	1	master	master	NOUN
iajs-3916	299	2	's	's	PART
iajs-3916	299	3	thesis	thesis	NOUN
iajs-3916	299	4	,	,	PUNCT
iajs-3916	299	5	johannes	johannes	PROPN
iajs-3916	299	6	kepler	kepler	PROPN
iajs-3916	299	7	university	university	PROPN
iajs-3916	299	8	linz	linz	PROPN
iajs-3916	299	9	,	,	PUNCT
iajs-3916	299	10	institute	institute	NOUN
iajs-3916	299	11	of	of	ADP
iajs-3916	299	12	networks	network	NOUN
iajs-3916	299	13	and	and	CCONJ
iajs-3916	299	14	security	security	NOUN
iajs-3916	299	15	,	,	PUNCT
iajs-3916	299	16	linz	linz	PROPN
iajs-3916	299	17	,	,	PUNCT
iajs-3916	299	18	austria	austria	PROPN
iajs-3916	299	19	,	,	PUNCT
iajs-3916	299	20	2019	2019	NUM
iajs-3916	299	21	.	.	PUNCT
iajs-3916	300	1	20	20	NUM
iajs-3916	300	2	.	.	X
iajs-3916	300	3	nurhaida	nurhaida	PROPN
iajs-3916	300	4	,	,	PUNCT
iajs-3916	300	5	i.	i.	PROPN
iajs-3916	300	6	;	;	PUNCT
iajs-3916	300	7	noprisson	noprisson	PROPN
iajs-3916	300	8	,	,	PUNCT
iajs-3916	300	9	h.	h.	PROPN
iajs-3916	300	10	;	;	PUNCT
iajs-3916	300	11	ayumi	ayumi	PROPN
iajs-3916	300	12	,	,	PUNCT
iajs-3916	300	13	v.	v.	PROPN
iajs-3916	300	14	;	;	PUNCT
iajs-3916	300	15	wei	wei	PROPN
iajs-3916	300	16	,	,	PUNCT
iajs-3916	300	17	h.	h.	PROPN
iajs-3916	300	18	;	;	PUNCT
iajs-3916	300	19	putra	putra	PROPN
iajs-3916	300	20	,	,	PUNCT
iajs-3916	300	21	e.d	e.d	PROPN
iajs-3916	300	22	.	.	PROPN
iajs-3916	300	23	;	;	PUNCT
iajs-3916	301	1	utami	utami	NOUN
iajs-3916	301	2	,	,	PUNCT
iajs-3916	301	3	m.	m.	NOUN
iajs-3916	301	4	;	;	PUNCT
iajs-3916	301	5	setiawan	setiawan	PROPN
iajs-3916	301	6	,	,	PUNCT
iajs-3916	301	7	h.	h.	PROPN
iajs-3916	301	8	;	;	PUNCT
iajs-3916	301	9	dwika	dwika	PROPN
iajs-3916	301	10	putra	putra	PROPN
iajs-3916	301	11	,	,	PUNCT
iajs-3916	301	12	e.	e.	PROPN
iajs-3916	301	13	;	;	PUNCT
iajs-3916	301	14	utami	utami	NOUN
iajs-3916	301	15	,	,	PUNCT
iajs-3916	301	16	m.	m.	NOUN
iajs-3916	301	17	;	;	PUNCT
iajs-3916	301	18	setiawan	setiawan	PROPN
iajs-3916	301	19	,	,	PUNCT
iajs-3916	301	20	h.	h.	NOUN
iajs-3916	301	21	implementation	implementation	NOUN
iajs-3916	301	22	of	of	ADP
iajs-3916	301	23	deep	deep	ADJ
iajs-3916	301	24	learning	learning	NOUN
iajs-3916	301	25	predictor	predictor	NOUN
iajs-3916	301	26	(	(	PUNCT
iajs-3916	301	27	lstm	lstm	NOUN
iajs-3916	301	28	)	)	PUNCT
iajs-3916	301	29	algorithm	algorithm	NOUN
iajs-3916	301	30	for	for	ADP
iajs-3916	301	31	human	human	ADJ
iajs-3916	301	32	mobility	mobility	NOUN
iajs-3916	301	33	prediction	prediction	NOUN
iajs-3916	301	34	.	.	PUNCT
iajs-3916	302	1	international	international	ADJ
iajs-3916	302	2	journal	journal	PROPN
iajs-3916	302	3	of	of	ADP
iajs-3916	302	4	interactive	interactive	ADJ
iajs-3916	302	5	mobile	mobile	ADJ
iajs-3916	302	6	technologies	technology	NOUN
iajs-3916	302	7	(	(	PUNCT
iajs-3916	302	8	ijim	ijim	PROPN
iajs-3916	302	9	)	)	PUNCT
iajs-3916	302	10	2020	2020	NUM
iajs-3916	302	11	,	,	PUNCT
iajs-3916	302	12	14(18	14(18	NUM
iajs-3916	302	13	)	)	PUNCT
iajs-3916	302	14	,	,	PUNCT
iajs-3916	302	15	132–144	132–144	NUM
iajs-3916	302	16	.	.	PUNCT
iajs-3916	303	1	https://doi.org/10.3991/ijim.v14i18.16867	https://doi.org/10.3991/ijim.v14i18.16867	PROPN
iajs-3916	303	2	21	21	NUM
iajs-3916	303	3	.	.	PUNCT
iajs-3916	304	1	zheng	zheng	PROPN
iajs-3916	304	2	,	,	PUNCT
iajs-3916	304	3	y.	y.	PROPN
iajs-3916	304	4	;	;	PUNCT
iajs-3916	304	5	wang	wang	PROPN
iajs-3916	304	6	,	,	PUNCT
iajs-3916	304	7	l.	l.	PROPN
iajs-3916	304	8	;	;	PUNCT
iajs-3916	304	9	zhang	zhang	PROPN
iajs-3916	304	10	,	,	PUNCT
iajs-3916	304	11	r.	r.	PROPN
iajs-3916	304	12	;	;	PUNCT
iajs-3916	304	13	xie	xie	PROPN
iajs-3916	304	14	,	,	PUNCT
iajs-3916	304	15	x.	x.	PROPN
iajs-3916	304	16	;	;	PUNCT
iajs-3916	304	17	ma	ma	PROPN
iajs-3916	304	18	,	,	PUNCT
iajs-3916	304	19	w.-y	w.-y	PROPN
iajs-3916	304	20	.	.	PUNCT
iajs-3916	305	1	geolife	geolife	NOUN
iajs-3916	305	2	:	:	PUNCT
iajs-3916	305	3	managing	managing	NOUN
iajs-3916	305	4	and	and	CCONJ
iajs-3916	305	5	understanding	understand	VERB
iajs-3916	305	6	your	your	PRON
iajs-3916	305	7	past	past	ADJ
iajs-3916	305	8	life	life	NOUN
iajs-3916	305	9	over	over	ADP
iajs-3916	305	10	maps	map	NOUN
iajs-3916	305	11	.	.	PUNCT
iajs-3916	306	1	in	in	ADP
iajs-3916	306	2	proceedings	proceeding	NOUN
iajs-3916	306	3	of	of	ADP
iajs-3916	306	4	the	the	DET
iajs-3916	306	5	the	the	DET
iajs-3916	306	6	ninth	ninth	ADJ
iajs-3916	306	7	international	international	ADJ
iajs-3916	306	8	conference	conference	NOUN
iajs-3916	306	9	on	on	ADP
iajs-3916	306	10	mobile	mobile	ADJ
iajs-3916	306	11	data	datum	NOUN
iajs-3916	306	12	management	management	NOUN
iajs-3916	306	13	,	,	PUNCT
iajs-3916	306	14	beijing	beijing	PROPN
iajs-3916	306	15	,	,	PUNCT
iajs-3916	306	16	china	china	PROPN
iajs-3916	306	17	,	,	PUNCT
iajs-3916	306	18	2008	2008	NUM
iajs-3916	306	19	,	,	PUNCT
iajs-3916	306	20	211–212	211–212	NUM
iajs-3916	306	21	.	.	PUNCT
iajs-3916	307	1	https://doi.org/10.1109/mdm.2008.20	https://doi.org/10.1109/mdm.2008.20	X
iajs-3916	308	1	22	22	NUM
iajs-3916	308	2	.	.	PUNCT
iajs-3916	309	1	faizan	faizan	PROPN
iajs-3916	309	2	,	,	PUNCT
iajs-3916	309	3	m.	m.	NOUN
iajs-3916	309	4	;	;	PUNCT
iajs-3916	309	5	zuhairi	zuhairi	PROPN
iajs-3916	309	6	,	,	PUNCT
iajs-3916	309	7	m.f	m.f	PROPN
iajs-3916	309	8	.	.	PUNCT
iajs-3916	309	9	;	;	PUNCT
iajs-3916	309	10	ismail	ismail	PROPN
iajs-3916	309	11	,	,	PUNCT
iajs-3916	309	12	s.	s.	PROPN
iajs-3916	309	13	;	;	PUNCT
iajs-3916	309	14	sultan	sultan	PROPN
iajs-3916	309	15	,	,	PUNCT
iajs-3916	309	16	s.	s.	PROPN
iajs-3916	309	17	applications	application	NOUN
iajs-3916	309	18	of	of	ADP
iajs-3916	309	19	clustering	cluster	VERB
iajs-3916	309	20	techniques	technique	NOUN
iajs-3916	309	21	in	in	ADP
iajs-3916	309	22	data	datum	NOUN
iajs-3916	309	23	mining	mining	NOUN
iajs-3916	309	24	:	:	PUNCT
iajs-3916	309	25	a	a	DET
iajs-3916	309	26	comparative	comparative	ADJ
iajs-3916	309	27	study	study	NOUN
iajs-3916	309	28	.	.	PUNCT
iajs-3916	310	1	international	international	ADJ
iajs-3916	310	2	journal	journal	NOUN
iajs-3916	310	3	of	of	ADP
iajs-3916	310	4	advanced	advanced	ADJ
iajs-3916	310	5	computer	computer	NOUN
iajs-3916	310	6	science	science	NOUN
iajs-3916	310	7	and	and	CCONJ
iajs-3916	310	8	applications	application	NOUN
iajs-3916	310	9	2020	2020	NUM
iajs-3916	310	10	,	,	PUNCT
iajs-3916	310	11	11(12	11(12	NUM
iajs-3916	310	12	)	)	PUNCT
iajs-3916	310	13	,	,	PUNCT
iajs-3916	310	14	146–153	146–153	NUM
iajs-3916	310	15	.	.	PUNCT
iajs-3916	311	1	https://doi.org/10.14569/ijacsa.2020.0111218	https://doi.org/10.14569/ijacsa.2020.0111218	NOUN
iajs-3916	311	2	23	23	NUM
iajs-3916	311	3	.	.	PUNCT
iajs-3916	312	1	yang	yang	PROPN
iajs-3916	312	2	,	,	PUNCT
iajs-3916	312	3	y.	y.	PROPN
iajs-3916	312	4	;	;	PUNCT
iajs-3916	312	5	qian	qian	PROPN
iajs-3916	312	6	,	,	PUNCT
iajs-3916	312	7	c.	c.	PROPN
iajs-3916	312	8	;	;	PUNCT
iajs-3916	312	9	li	li	PROPN
iajs-3916	312	10	,	,	PUNCT
iajs-3916	312	11	h.	h.	PROPN
iajs-3916	312	12	;	;	PUNCT
iajs-3916	312	13	gao	gao	PROPN
iajs-3916	312	14	,	,	PUNCT
iajs-3916	312	15	y.	y.	PROPN
iajs-3916	312	16	;	;	PUNCT
iajs-3916	312	17	wu	wu	PROPN
iajs-3916	312	18	,	,	PUNCT
iajs-3916	312	19	j.	j.	PROPN
iajs-3916	312	20	;	;	PUNCT
iajs-3916	312	21	liu	liu	PROPN
iajs-3916	312	22	,	,	PUNCT
iajs-3916	312	23	c.j	c.j	PROPN
iajs-3916	312	24	.	.	PROPN
iajs-3916	312	25	;	;	PUNCT
iajs-3916	312	26	zhao	zhao	PROPN
iajs-3916	312	27	,	,	PUNCT
iajs-3916	312	28	s.	s.	PROPN
iajs-3916	312	29	an	an	DET
iajs-3916	312	30	efficient	efficient	ADJ
iajs-3916	312	31	dbscan	dbscan	NOUN
iajs-3916	312	32	optimized	optimize	VERB
iajs-3916	312	33	by	by	ADP
iajs-3916	312	34	arithmetic	arithmetic	ADJ
iajs-3916	312	35	optimization	optimization	NOUN
iajs-3916	312	36	algorithm	algorithm	NOUN
iajs-3916	312	37	with	with	ADP
iajs-3916	312	38	opposition	opposition	NOUN
iajs-3916	312	39	-	-	PUNCT
iajs-3916	312	40	based	base	VERB
iajs-3916	312	41	learning	learning	NOUN
iajs-3916	312	42	.	.	PUNCT
iajs-3916	313	1	j.	j.	PROPN
iajs-3916	313	2	supercomput	supercomput	PROPN
iajs-3916	313	3	.	.	PUNCT
iajs-3916	314	1	2022	2022	NUM
iajs-3916	314	2	,	,	PUNCT
iajs-3916	314	3	78(18	78(18	NUM
iajs-3916	314	4	)	)	PUNCT
iajs-3916	314	5	,	,	PUNCT
iajs-3916	314	6	19566–19604	19566–19604	NUM
iajs-3916	314	7	.	.	PUNCT
iajs-3916	315	1	https://doi.org/10.1007/s11227-022-04634-w	https://doi.org/10.1007/s11227-022-04634-w	PROPN
iajs-3916	315	2	24	24	NUM
iajs-3916	315	3	.	.	PUNCT
iajs-3916	316	1	jiang	jiang	PROPN
iajs-3916	316	2	,	,	PUNCT
iajs-3916	316	3	k.	k.	PROPN
iajs-3916	316	4	;	;	PUNCT
iajs-3916	316	5	huang	huang	PROPN
iajs-3916	316	6	,	,	PUNCT
iajs-3916	316	7	z.	z.	PROPN
iajs-3916	316	8	;	;	PUNCT
iajs-3916	316	9	zhou	zhou	PROPN
iajs-3916	316	10	,	,	PUNCT
iajs-3916	316	11	x.	x.	PROPN
iajs-3916	316	12	;	;	PUNCT
iajs-3916	316	13	tong	tong	PROPN
iajs-3916	316	14	,	,	PUNCT
iajs-3916	316	15	c.	c.	PROPN
iajs-3916	316	16	;	;	PUNCT
iajs-3916	316	17	zhu	zhu	PROPN
iajs-3916	316	18	,	,	PUNCT
iajs-3916	316	19	m.	m.	NOUN
iajs-3916	316	20	;	;	PUNCT
iajs-3916	316	21	wang	wang	PROPN
iajs-3916	316	22	,	,	PUNCT
iajs-3916	316	23	h.	h.	PROPN
iajs-3916	316	24	deep	deep	ADJ
iajs-3916	316	25	belief	belief	NOUN
iajs-3916	316	26	improved	improve	VERB
iajs-3916	316	27	bidirectional	bidirectional	ADJ
iajs-3916	316	28	lstm	lstm	NOUN
iajs-3916	316	29	for	for	ADP
iajs-3916	316	30	multivariate	multivariate	NOUN
iajs-3916	316	31	time	time	NOUN
iajs-3916	316	32	series	series	PROPN
iajs-3916	316	33	forecasting	forecasting	PROPN
iajs-3916	316	34	.	.	PUNCT
iajs-3916	317	1	math	math	NOUN
iajs-3916	317	2	.	.	PUNCT
iajs-3916	318	1	biosci	biosci	PROPN
iajs-3916	318	2	.	.	PUNCT
iajs-3916	319	1	eng	eng	PROPN
iajs-3916	319	2	.	.	PROPN
iajs-3916	319	3	2023	2023	NUM
iajs-3916	319	4	,	,	PUNCT
iajs-3916	319	5	20(9	20(9	NUM
iajs-3916	319	6	)	)	PUNCT
iajs-3916	319	7	,	,	PUNCT
iajs-3916	319	8	16596–16627	16596–16627	NUM
iajs-3916	319	9	.	.	PUNCT
iajs-3916	320	1	https://doi.org/10.3934/mbe.2023739	https://doi.org/10.3934/mbe.2023739	PROPN
iajs-3916	320	2	25	25	NUM
iajs-3916	320	3	.	.	PUNCT
iajs-3916	321	1	z.	z.	PROPN
iajs-3916	321	2	,	,	PUNCT
iajs-3916	321	3	z.	z.	PROPN
iajs-3916	321	4	;	;	PUNCT
iajs-3916	321	5	e.	e.	PROPN
iajs-3916	321	6	a.	a.	PROPN
iajs-3916	321	7	,	,	PUNCT
iajs-3916	321	8	p.a	p.a	PROPN
iajs-3916	321	9	.	.	PROPN
iajs-3916	321	10	;	;	PUNCT
iajs-3916	321	11	m.	m.	PROPN
iajs-3916	321	12	h.	h.	PROPN
iajs-3916	321	13	,	,	PUNCT
iajs-3916	321	14	h.	h.	PROPN
iajs-3916	321	15	predicting	predict	VERB
iajs-3916	321	16	machine	machine	NOUN
iajs-3916	321	17	failure	failure	NOUN
iajs-3916	321	18	using	use	VERB
iajs-3916	321	19	recurrent	recurrent	ADJ
iajs-3916	321	20	neural	neural	ADJ
iajs-3916	321	21	network	network	NOUN
iajs-3916	321	22	-	-	PUNCT
iajs-3916	321	23	gated	gate	VERB
iajs-3916	321	24	recurrent	recurrent	ADJ
iajs-3916	321	25	unit	unit	NOUN
iajs-3916	321	26	(	(	PUNCT
iajs-3916	321	27	rnn	rnn	PROPN
iajs-3916	321	28	-	-	PUNCT
iajs-3916	321	29	gru	gru	NOUN
iajs-3916	321	30	)	)	PUNCT
iajs-3916	321	31	through	through	ADP
iajs-3916	321	32	time	time	NOUN
iajs-3916	321	33	series	series	PROPN
iajs-3916	321	34	data	data	PROPN
iajs-3916	321	35	.	.	PUNCT
iajs-3916	322	1	bulletin	bulletin	NOUN
iajs-3916	322	2	of	of	ADP
iajs-3916	322	3	electrical	electrical	ADJ
iajs-3916	322	4	engineering	engineering	NOUN
iajs-3916	322	5	and	and	CCONJ
iajs-3916	322	6	informatics	informatic	NOUN
iajs-3916	322	7	2021	2021	NUM
iajs-3916	322	8	,	,	PUNCT
iajs-3916	322	9	10(2	10(2	NUM
iajs-3916	322	10	)	)	PUNCT
iajs-3916	322	11	,	,	PUNCT
iajs-3916	322	12	870–878	870–878	NUM
iajs-3916	322	13	.	.	PUNCT
iajs-3916	322	14	https://doi.org/10.11591/eei.v10i2.2036	https://doi.org/10.11591/eei.v10i2.2036	NOUN
iajs-3916	322	15	26	26	NUM
iajs-3916	322	16	.	.	PUNCT
iajs-3916	323	1	shiri	shiri	PROPN
iajs-3916	323	2	,	,	PUNCT
iajs-3916	323	3	f.m	f.m	PROPN
iajs-3916	323	4	.	.	PROPN
iajs-3916	323	5	;	;	PUNCT
iajs-3916	323	6	perumal	perumal	NOUN
iajs-3916	323	7	,	,	PUNCT
iajs-3916	323	8	t.	t.	PROPN
iajs-3916	323	9	;	;	PUNCT
iajs-3916	323	10	mustapha	mustapha	PROPN
iajs-3916	323	11	,	,	PUNCT
iajs-3916	323	12	n.	n.	PROPN
iajs-3916	323	13	;	;	PUNCT
iajs-3916	323	14	mohamed	mohamed	PROPN
iajs-3916	323	15	,	,	PUNCT
iajs-3916	323	16	r.	r.	PROPN
iajs-3916	323	17	a	a	DET
iajs-3916	323	18	comprehensive	comprehensive	ADJ
iajs-3916	323	19	overview	overview	NOUN
iajs-3916	323	20	and	and	CCONJ
iajs-3916	323	21	comparative	comparative	ADJ
iajs-3916	323	22	analysis	analysis	NOUN
iajs-3916	323	23	on	on	ADP
iajs-3916	323	24	deep	deep	ADJ
iajs-3916	323	25	learning	learning	NOUN
iajs-3916	323	26	models	model	NOUN
iajs-3916	323	27	:	:	PUNCT
iajs-3916	323	28	cnn	cnn	PROPN
iajs-3916	323	29	,	,	PUNCT
iajs-3916	323	30	rnn	rnn	PROPN
iajs-3916	323	31	,	,	PUNCT
iajs-3916	323	32	lstm	lstm	PROPN
iajs-3916	323	33	,	,	PUNCT
iajs-3916	323	34	gru	gru	PROPN
iajs-3916	323	35	.	.	PROPN
iajs-3916	323	36	arxiv	arxiv	PROPN
iajs-3916	323	37	2023	2023	NUM
iajs-3916	323	38	,	,	PUNCT
iajs-3916	323	39	arxiv:2305.17473	arxiv:2305.17473	NOUN
iajs-3916	323	40	.	.	PUNCT
iajs-3916	324	1	https://doi.org/10.48550/arxiv.2305.17473	https://doi.org/10.48550/arxiv.2305.17473	PROPN
iajs-3916	324	2	27	27	NUM
iajs-3916	324	3	.	.	PUNCT
iajs-3916	324	4	ghojogh	ghojogh	PROPN
iajs-3916	324	5	,	,	PUNCT
iajs-3916	324	6	b.	b.	PROPN
iajs-3916	324	7	;	;	PUNCT
iajs-3916	324	8	ghodsi	ghodsi	NOUN
iajs-3916	324	9	,	,	PUNCT
iajs-3916	324	10	a.	a.	NOUN
iajs-3916	324	11	recurrent	recurrent	PROPN
iajs-3916	324	12	neural	neural	ADJ
iajs-3916	324	13	networks	network	NOUN
iajs-3916	324	14	and	and	CCONJ
iajs-3916	324	15	long	long	ADJ
iajs-3916	324	16	short	short	ADJ
iajs-3916	324	17	-	-	PUNCT
iajs-3916	324	18	term	term	NOUN
iajs-3916	324	19	memory	memory	NOUN
iajs-3916	324	20	networks	network	NOUN
iajs-3916	324	21	:	:	PUNCT
iajs-3916	324	22	tutorial	tutorial	NOUN
iajs-3916	324	23	and	and	CCONJ
iajs-3916	324	24	survey	survey	NOUN
iajs-3916	324	25	.	.	PUNCT
iajs-3916	325	1	arxiv	arxiv	PROPN
iajs-3916	325	2	2023	2023	NUM
iajs-3916	325	3	,	,	PUNCT
iajs-3916	325	4	arxiv:2304.11461	arxiv:2304.11461	NOUN
iajs-3916	325	5	.	.	PUNCT
iajs-3916	326	1	https://doi.org/10.48550/arxiv.2304.11461	https://doi.org/10.48550/arxiv.2304.11461	PROPN
iajs-3916	326	2	28	28	NUM
iajs-3916	326	3	.	.	PUNCT
iajs-3916	327	1	luca	luca	PROPN
iajs-3916	327	2	,	,	PUNCT
iajs-3916	327	3	m.	m.	NOUN
iajs-3916	327	4	;	;	PUNCT
iajs-3916	327	5	barlacchi	barlacchi	PROPN
iajs-3916	327	6	,	,	PUNCT
iajs-3916	327	7	g.	g.	PROPN
iajs-3916	327	8	;	;	PUNCT
iajs-3916	327	9	lepri	lepri	PROPN
iajs-3916	327	10	,	,	PUNCT
iajs-3916	327	11	b.	b.	PROPN
iajs-3916	327	12	;	;	PUNCT
iajs-3916	327	13	pappalardo	pappalardo	PROPN
iajs-3916	327	14	,	,	PUNCT
iajs-3916	327	15	l.	l.	PROPN
iajs-3916	327	16	a	a	DET
iajs-3916	327	17	survey	survey	NOUN
iajs-3916	327	18	on	on	ADP
iajs-3916	327	19	deep	deep	ADJ
iajs-3916	327	20	learning	learning	NOUN
iajs-3916	327	21	for	for	ADP
iajs-3916	327	22	human	human	ADJ
iajs-3916	327	23	mobility	mobility	NOUN
iajs-3916	327	24	.	.	PUNCT
iajs-3916	328	1	acm	acm	PROPN
iajs-3916	328	2	computing	computing	NOUN
iajs-3916	328	3	surveys	survey	NOUN
iajs-3916	328	4	(	(	PUNCT
iajs-3916	328	5	csur	csur	NOUN
iajs-3916	328	6	)	)	PUNCT
iajs-3916	328	7	2021	2021	NUM
iajs-3916	328	8	,	,	PUNCT
iajs-3916	328	9	55(1	55(1	NOUN
iajs-3916	328	10	)	)	PUNCT
iajs-3916	328	11	,	,	PUNCT
iajs-3916	328	12	1	1	NUM
iajs-3916	328	13	–	–	SYM
iajs-3916	328	14	44	44	NUM
iajs-3916	328	15	.	.	PUNCT
iajs-3916	329	1	https://doi.org/10.1145/3485125	https://doi.org/10.1145/3485125	X
iajs-3916	329	2	29	29	NUM
iajs-3916	329	3	.	.	PUNCT
iajs-3916	330	1	javid	javid	PROPN
iajs-3916	330	2	,	,	PUNCT
iajs-3916	330	3	a.m.	a.m.	ADV
iajs-3916	330	4	;	;	PUNCT
iajs-3916	330	5	das	das	PROPN
iajs-3916	330	6	,	,	PUNCT
iajs-3916	330	7	s.	s.	PROPN
iajs-3916	330	8	;	;	PUNCT
iajs-3916	330	9	skoglund	skoglund	ADJ
iajs-3916	330	10	,	,	PUNCT
iajs-3916	330	11	m.	m.	NOUN
iajs-3916	330	12	;	;	PUNCT
iajs-3916	330	13	chatterjee	chatterjee	PROPN
iajs-3916	330	14	,	,	PUNCT
iajs-3916	330	15	s.	s.	PROPN
iajs-3916	330	16	a	a	DET
iajs-3916	330	17	relu	relu	NOUN
iajs-3916	330	18	dense	dense	ADJ
iajs-3916	330	19	layer	layer	NOUN
iajs-3916	330	20	to	to	PART
iajs-3916	330	21	improve	improve	VERB
iajs-3916	330	22	the	the	DET
iajs-3916	330	23	performance	performance	NOUN
iajs-3916	330	24	of	of	ADP
iajs-3916	330	25	neural	neural	ADJ
iajs-3916	330	26	networks	network	NOUN
iajs-3916	330	27	.	.	PUNCT
iajs-3916	331	1	in	in	ADP
iajs-3916	331	2	proceedings	proceeding	NOUN
iajs-3916	331	3	of	of	ADP
iajs-3916	331	4	the	the	DET
iajs-3916	331	5	icassp	icassp	ADJ
iajs-3916	331	6	2021—2021	2021—2021	NUM
iajs-3916	331	7	ieee	ieee	PROPN
iajs-3916	331	8	international	international	ADJ
iajs-3916	331	9	conference	conference	NOUN
iajs-3916	331	10	on	on	ADP
iajs-3916	331	11	acoustics	acoustic	NOUN
iajs-3916	331	12	,	,	PUNCT
iajs-3916	331	13	speech	speech	NOUN
iajs-3916	331	14	and	and	CCONJ
iajs-3916	331	15	signal	signal	NOUN
iajs-3916	331	16	processing	processing	NOUN
iajs-3916	331	17	(	(	PUNCT
iajs-3916	331	18	icassp	icassp	PROPN
iajs-3916	331	19	)	)	PUNCT
iajs-3916	331	20	,	,	PUNCT
iajs-3916	331	21	toronto	toronto	PROPN
iajs-3916	331	22	,	,	PUNCT
iajs-3916	331	23	on	on	ADP
iajs-3916	331	24	,	,	PUNCT
iajs-3916	331	25	canada	canada	PROPN
iajs-3916	331	26	,	,	PUNCT
iajs-3916	331	27	2021	2021	NUM
iajs-3916	331	28	,	,	PUNCT
iajs-3916	331	29	2810	2810	NUM
iajs-3916	331	30	-	-	SYM
iajs-3916	331	31	2814	2814	NUM
iajs-3916	331	32	.	.	PUNCT
iajs-3916	331	33	https://doi.org/10.1109/icassp39728.2021.9414269	https://doi.org/10.1109/icassp39728.2021.9414269	PROPN
iajs-3916	331	34	30	30	NUM
iajs-3916	331	35	.	.	PUNCT
iajs-3916	332	1	yang	yang	PROPN
iajs-3916	332	2	,	,	PUNCT
iajs-3916	332	3	j.	j.	PROPN
iajs-3916	332	4	;	;	PUNCT
iajs-3916	332	5	cao	cao	PROPN
iajs-3916	332	6	,	,	PUNCT
iajs-3916	332	7	j.	j.	PROPN
iajs-3916	332	8	;	;	PUNCT
iajs-3916	332	9	liu	liu	PROPN
iajs-3916	332	10	,	,	PUNCT
iajs-3916	332	11	y.	y.	PROPN
iajs-3916	332	12	deep	deep	ADJ
iajs-3916	332	13	learning	learning	NOUN
iajs-3916	332	14	-	-	PUNCT
iajs-3916	332	15	based	base	VERB
iajs-3916	332	16	destination	destination	NOUN
iajs-3916	332	17	prediction	prediction	NOUN
iajs-3916	332	18	scheme	scheme	NOUN
iajs-3916	332	19	by	by	ADP
iajs-3916	332	20	trajectory	trajectory	NOUN
iajs-3916	332	21	prediction	prediction	NOUN
iajs-3916	332	22	framework	framework	NOUN
iajs-3916	332	23	.	.	PUNCT
iajs-3916	333	1	security	security	NOUN
iajs-3916	333	2	and	and	CCONJ
iajs-3916	333	3	communication	communication	NOUN
iajs-3916	333	4	networks	network	NOUN
iajs-3916	333	5	2022	2022	NUM
iajs-3916	333	6	,	,	PUNCT
iajs-3916	333	7	8385854	8385854	NUM
iajs-3916	333	8	.	.	PUNCT
iajs-3916	334	1	https://doi.org/10.1155/2022/8385854	https://doi.org/10.1155/2022/8385854	PROPN
iajs-3916	334	2	31	31	NUM
iajs-3916	334	3	.	.	PUNCT
iajs-3916	335	1	joseph	joseph	PROPN
iajs-3916	335	2	,	,	PUNCT
iajs-3916	335	3	f.j.j	f.j.j	PROPN
iajs-3916	335	4	.	.	PUNCT
iajs-3916	335	5	;	;	PUNCT
iajs-3916	335	6	nonsiri	nonsiri	ADV
iajs-3916	335	7	,	,	PUNCT
iajs-3916	335	8	s.	s.	PROPN
iajs-3916	335	9	;	;	PUNCT
iajs-3916	335	10	monsakul	monsakul	ADJ
iajs-3916	335	11	,	,	PUNCT
iajs-3916	335	12	a.	a.	PROPN
iajs-3916	335	13	keras	keras	PROPN
iajs-3916	335	14	and	and	CCONJ
iajs-3916	335	15	tensorflow	tensorflow	NOUN
iajs-3916	335	16	:	:	PUNCT
iajs-3916	335	17	a	a	DET
iajs-3916	335	18	hands	hand	NOUN
iajs-3916	335	19	-	-	PUNCT
iajs-3916	335	20	on	on	ADP
iajs-3916	335	21	experience	experience	NOUN
iajs-3916	335	22	.	.	PUNCT
iajs-3916	336	1	advanced	advanced	ADJ
iajs-3916	336	2	deep	deep	ADJ
iajs-3916	336	3	learning	learning	NOUN
iajs-3916	336	4	for	for	ADP
iajs-3916	336	5	engineers	engineer	NOUN
iajs-3916	336	6	and	and	CCONJ
iajs-3916	336	7	scientists	scientist	NOUN
iajs-3916	336	8	:	:	PUNCT
iajs-3916	336	9	a	a	DET
iajs-3916	336	10	practical	practical	ADJ
iajs-3916	336	11	approach	approach	NOUN
iajs-3916	336	12	2021	2021	NUM
iajs-3916	336	13	,	,	PUNCT
iajs-3916	336	14	85–111	85–111	PROPN
iajs-3916	336	15	.	.	PUNCT
iajs-3916	337	1	https://doi.org/10.1007/978-3-030-66519-7_12	https://doi.org/10.1007/978-3-030-66519-7_12	PROPN
iajs-3916	337	2	32	32	NUM
iajs-3916	337	3	.	.	PUNCT
iajs-3916	338	1	reyad	reyad	NOUN
iajs-3916	338	2	,	,	PUNCT
iajs-3916	338	3	m.	m.	NOUN
iajs-3916	338	4	;	;	PUNCT
iajs-3916	338	5	sarhan	sarhan	ADV
iajs-3916	338	6	,	,	PUNCT
iajs-3916	338	7	a.m.	a.m.	ADV
iajs-3916	338	8	;	;	PUNCT
iajs-3916	338	9	arafa	arafa	PROPN
iajs-3916	338	10	,	,	PUNCT
iajs-3916	338	11	m.	m.	NOUN
iajs-3916	338	12	a	a	DET
iajs-3916	338	13	modified	modify	VERB
iajs-3916	338	14	adam	adam	PROPN
iajs-3916	338	15	algorithm	algorithm	NOUN
iajs-3916	338	16	for	for	ADP
iajs-3916	338	17	deep	deep	ADJ
iajs-3916	338	18	neural	neural	ADJ
iajs-3916	338	19	network	network	NOUN
iajs-3916	338	20	optimization	optimization	NOUN
iajs-3916	338	21	.	.	PUNCT
iajs-3916	339	1	neural	neural	ADJ
iajs-3916	339	2	computing	computing	NOUN
iajs-3916	339	3	and	and	CCONJ
iajs-3916	339	4	applications	application	NOUN
iajs-3916	339	5	2023	2023	NUM
iajs-3916	339	6	,	,	PUNCT
iajs-3916	339	7	35(23	35(23	NOUN
iajs-3916	339	8	)	)	PUNCT
iajs-3916	339	9	,	,	PUNCT
iajs-3916	339	10	17095–17112	17095–17112	NUM
iajs-3916	339	11	.	.	PUNCT
iajs-3916	340	1	https://doi.org/10.1007/s00521-023-08568-z	https://doi.org/10.1007/s00521-023-08568-z	PROPN
iajs-3916	340	2	33	33	NUM
iajs-3916	340	3	.	.	PUNCT
iajs-3916	341	1	bhimavarapu	bhimavarapu	PROPN
iajs-3916	341	2	,	,	PUNCT
iajs-3916	341	3	u.	u.	PROPN
iajs-3916	341	4	;	;	PUNCT
iajs-3916	341	5	battineni	battineni	PROPN
iajs-3916	341	6	,	,	PUNCT
iajs-3916	341	7	g.	g.	PROPN
iajs-3916	341	8	;	;	PUNCT
iajs-3916	341	9	chintalapudi	chintalapudi	ADJ
iajs-3916	341	10	,	,	PUNCT
iajs-3916	341	11	n.	n.	PROPN
iajs-3916	341	12	improved	improve	VERB
iajs-3916	341	13	optimization	optimization	NOUN
iajs-3916	341	14	algorithm	algorithm	NOUN
iajs-3916	341	15	in	in	ADP
iajs-3916	341	16	lstm	lstm	NOUN
iajs-3916	341	17	to	to	PART
iajs-3916	341	18	predict	predict	VERB
iajs-3916	341	19	crop	crop	NOUN
iajs-3916	341	20	yield	yield	NOUN
iajs-3916	341	21	.	.	PUNCT
iajs-3916	342	1	computers	computer	NOUN
iajs-3916	342	2	2023	2023	NUM
iajs-3916	342	3	,	,	PUNCT
iajs-3916	342	4	12(1	12(1	NUM
iajs-3916	342	5	)	)	PUNCT
iajs-3916	342	6	,	,	PUNCT
iajs-3916	342	7	10	10	NUM
iajs-3916	342	8	.	.	PUNCT
iajs-3916	343	1	https://doi.org/10.3390/computers12010010	https://doi.org/10.3390/computers12010010	PROPN
iajs-3916	343	2	34	34	NUM
iajs-3916	343	3	.	.	PUNCT
iajs-3916	344	1	guo	guo	PROPN
iajs-3916	344	2	,	,	PUNCT
iajs-3916	344	3	b.	b.	PROPN
iajs-3916	344	4	;	;	PUNCT
iajs-3916	344	5	wang	wang	PROPN
iajs-3916	344	6	,	,	PUNCT
iajs-3916	344	7	k.	k.	PROPN
iajs-3916	344	8	;	;	PUNCT
iajs-3916	344	9	yang	yang	PROPN
iajs-3916	344	10	,	,	PUNCT
iajs-3916	344	11	h.	h.	PROPN
iajs-3916	344	12	;	;	PUNCT
iajs-3916	344	13	zhang	zhang	PROPN
iajs-3916	344	14	,	,	PUNCT
iajs-3916	344	15	f.	f.	PROPN
iajs-3916	344	16	;	;	PUNCT
iajs-3916	344	17	wang	wang	PROPN
iajs-3916	344	18	,	,	PUNCT
iajs-3916	344	19	p.	p.	NOUN
iajs-3916	344	20	a	a	DET
iajs-3916	344	21	new	new	ADJ
iajs-3916	344	22	individual	individual	ADJ
iajs-3916	344	23	mobility	mobility	NOUN
iajs-3916	344	24	prediction	prediction	NOUN
iajs-3916	344	25	model	model	NOUN
iajs-3916	344	26	applicable	applicable	ADJ
iajs-3916	344	27	to	to	ADP
iajs-3916	344	28	both	both	DET
iajs-3916	344	29	ordinary	ordinary	ADJ
iajs-3916	344	30	conditions	condition	NOUN
iajs-3916	344	31	and	and	CCONJ
iajs-3916	344	32	large	large	ADJ
iajs-3916	344	33	crowding	crowding	ADJ
iajs-3916	344	34	events	event	NOUN
iajs-3916	344	35	.	.	PUNCT
iajs-3916	345	1	journal	journal	NOUN
iajs-3916	345	2	of	of	ADP
iajs-3916	345	3	advanced	advanced	ADJ
iajs-3916	345	4	transportation	transportation	NOUN
iajs-3916	345	5	2023	2023	NUM
iajs-3916	345	6	,	,	PUNCT
iajs-3916	345	7	2023(1	2023(1	NUM
iajs-3916	345	8	)	)	PUNCT
iajs-3916	345	9	,	,	PUNCT
iajs-3916	345	10	3463330	3463330	NUM
iajs-3916	345	11	,	,	PUNCT
iajs-3916	345	12	1	1	NUM
iajs-3916	345	13	-	-	SYM
iajs-3916	345	14	14	14	NUM
iajs-3916	345	15	.	.	PUNCT
iajs-3916	346	1	https://doi.org/10.1155/2023/3463330	https://doi.org/10.1155/2023/3463330	PROPN
iajs-3916	346	2	35	35	NUM
iajs-3916	346	3	.	.	PUNCT
iajs-3916	346	4	tajmouati	tajmouati	PROPN
iajs-3916	346	5	,	,	PUNCT
iajs-3916	346	6	s.	s.	PROPN
iajs-3916	346	7	;	;	PUNCT
iajs-3916	346	8	wahbi	wahbi	PROPN
iajs-3916	346	9	,	,	PUNCT
iajs-3916	346	10	b.	b.	PROPN
iajs-3916	346	11	el	el	PROPN
iajs-3916	346	12	;	;	PUNCT
iajs-3916	346	13	bedoui	bedoui	ADV
iajs-3916	346	14	,	,	PUNCT
iajs-3916	346	15	a.	a.	NOUN
iajs-3916	346	16	;	;	PUNCT
iajs-3916	346	17	abarda	abarda	PROPN
iajs-3916	346	18	,	,	PUNCT
iajs-3916	346	19	a.	a.	NOUN
iajs-3916	346	20	;	;	PUNCT
iajs-3916	346	21	dakkoun	dakkoun	NOUN
iajs-3916	346	22	,	,	PUNCT
iajs-3916	346	23	m.	m.	NOUN
iajs-3916	346	24	applying	apply	VERB
iajs-3916	346	25	k	k	NOUN
iajs-3916	346	26	-	-	PUNCT
iajs-3916	346	27	nearest	near	ADJ
iajs-3916	346	28	neighbors	neighbor	NOUN
iajs-3916	346	29	to	to	ADP
iajs-3916	346	30	time	time	NOUN
iajs-3916	346	31	series	series	PROPN
iajs-3916	346	32	forecasting	forecasting	PROPN
iajs-3916	346	33	 	 	SPACE
iajs-3916	346	34	:	:	PUNCT
iajs-3916	346	35	two	two	NUM
iajs-3916	346	36	new	new	ADJ
iajs-3916	346	37	approaches	approach	NOUN
iajs-3916	346	38	.	.	PUNCT
iajs-3916	347	1	journal	journal	NOUN
iajs-3916	347	2	of	of	ADP
iajs-3916	347	3	forecasting	forecasting	NOUN
iajs-3916	347	4	2024	2024	NUM
iajs-3916	347	5	,	,	PUNCT
iajs-3916	347	6	43(5	43(5	NUM
iajs-3916	347	7	)	)	PUNCT
iajs-3916	347	8	,	,	PUNCT
iajs-3916	347	9	1559	1559	NUM
iajs-3916	347	10	–	–	PUNCT
iajs-3916	347	11	1574	1574	NUM
iajs-3916	347	12	.	.	PUNCT
iajs-3916	348	1	https://doi.org/10.1002/for.3093	https://doi.org/10.1002/for.3093	PROPN
iajs-3916	348	2	https://doi.org/10.1145/3308558.3313610	https://doi.org/10.1145/3308558.3313610	VERB
iajs-3916	348	3	https://doi.org/10.1109/mdm.2008.20	https://doi.org/10.1109/mdm.2008.20	PUNCT
iajs-3916	348	4	https://doi.org/10.1109/icassp39728.2021.9414269	https://doi.org/10.1109/icassp39728.2021.9414269	X
iajs-3916	348	5	https://doi.org/10.1155/2022/8385854	https://doi.org/10.1155/2022/8385854	PROPN
iajs-3916	348	6	https://doi.org/10.1007/978-3-030-66519-7_12	https://doi.org/10.1007/978-3-030-66519-7_12	PROPN
iajs-3916	348	7	https://doi.org/10.1155/2023/3463330	https://doi.org/10.1155/2023/3463330	PROPN
iajs-3916	348	8	https://doi.org/10.1002/for.3093	https://doi.org/10.1002/for.3093	PROPN
iajs-3916	348	9	ihjpas	ihjpas	PROPN
iajs-3916	348	10	.	.	PUNCT
iajs-3916	349	1	2024	2024	NUM
iajs-3916	349	2	,	,	PUNCT
iajs-3916	349	3	37(4	37(4	NOUN
iajs-3916	349	4	)	)	PUNCT
iajs-3916	349	5	438	438	NUM
iajs-3916	349	6	36	36	NUM
iajs-3916	349	7	.	.	PUNCT
iajs-3916	350	1	ouaret	ouaret	PROPN
iajs-3916	350	2	,	,	PUNCT
iajs-3916	350	3	r.	r.	PROPN
iajs-3916	350	4	;	;	PUNCT
iajs-3916	350	5	birregah	birregah	PROPN
iajs-3916	350	6	,	,	PUNCT
iajs-3916	350	7	b.	b.	PROPN
iajs-3916	350	8	;	;	PUNCT
iajs-3916	350	9	soulier	soulier	NOUN
iajs-3916	350	10	,	,	PUNCT
iajs-3916	350	11	e.	e.	PROPN
iajs-3916	350	12	;	;	PUNCT
iajs-3916	350	13	auclair	auclair	PROPN
iajs-3916	350	14	,	,	PUNCT
iajs-3916	350	15	s.	s.	PROPN
iajs-3916	350	16	;	;	PUNCT
iajs-3916	350	17	boulahya	boulahya	PROPN
iajs-3916	350	18	,	,	PUNCT
iajs-3916	350	19	f.	f.	PROPN
iajs-3916	350	20	random	random	PROPN
iajs-3916	350	21	forest	forest	NOUN
iajs-3916	350	22	location	location	NOUN
iajs-3916	350	23	prediction	prediction	NOUN
iajs-3916	350	24	from	from	ADP
iajs-3916	350	25	social	social	ADJ
iajs-3916	350	26	networks	network	NOUN
iajs-3916	350	27	during	during	ADP
iajs-3916	350	28	disaster	disaster	NOUN
iajs-3916	350	29	events	event	NOUN
iajs-3916	350	30	.	.	PUNCT
iajs-3916	351	1	sixth	sixth	ADJ
iajs-3916	351	2	international	international	ADJ
iajs-3916	351	3	conference	conference	NOUN
iajs-3916	351	4	on	on	ADP
iajs-3916	351	5	social	social	ADJ
iajs-3916	351	6	networks	network	NOUN
iajs-3916	351	7	analysis	analysis	NOUN
iajs-3916	351	8	,	,	PUNCT
iajs-3916	351	9	management	management	NOUN
iajs-3916	351	10	and	and	CCONJ
iajs-3916	351	11	security	security	NOUN
iajs-3916	351	12	(	(	PUNCT
iajs-3916	351	13	snams	snam	NOUN
iajs-3916	351	14	)	)	PUNCT
iajs-3916	351	15	,	,	PUNCT
iajs-3916	351	16	granada	granada	PROPN
iajs-3916	351	17	,	,	PUNCT
iajs-3916	351	18	spain	spain	PROPN
iajs-3916	351	19	,	,	PUNCT
iajs-3916	351	20	2019	2019	NUM
iajs-3916	351	21	,	,	PUNCT
iajs-3916	351	22	535	535	NUM
iajs-3916	351	23	-	-	SYM
iajs-3916	351	24	540	540	NUM
iajs-3916	351	25	.	.	PUNCT
iajs-3916	352	1	https://doi.org/	https://doi.org/	VERB
iajs-3916	352	2	10.1109	10.1109	NUM
iajs-3916	352	3	/	/	SYM
iajs-3916	352	4	snams.2019.8931863	snams.2019.8931863	NOUN
iajs-3916	352	5	.	.	PUNCT
iajs-3916	353	1	37	37	NUM
iajs-3916	353	2	.	.	PUNCT
iajs-3916	353	3	satopaa	satopaa	PROPN
iajs-3916	353	4	,	,	PUNCT
iajs-3916	353	5	v.	v.	PROPN
iajs-3916	353	6	;	;	PUNCT
iajs-3916	353	7	albrecht	albrecht	PROPN
iajs-3916	353	8	,	,	PUNCT
iajs-3916	353	9	j.	j.	PROPN
iajs-3916	353	10	;	;	PUNCT
iajs-3916	353	11	irwin	irwin	PROPN
iajs-3916	353	12	,	,	PUNCT
iajs-3916	353	13	d.	d.	PROPN
iajs-3916	353	14	;	;	PUNCT
iajs-3916	353	15	raghavan	raghavan	PROPN
iajs-3916	353	16	,	,	PUNCT
iajs-3916	353	17	b.	b.	PROPN
iajs-3916	353	18	finding	find	VERB
iajs-3916	353	19	a	a	DET
iajs-3916	353	20	“	"	PUNCT
iajs-3916	353	21	kneedle	kneedle	NOUN
iajs-3916	353	22	”	"	PUNCT
iajs-3916	353	23	in	in	ADP
iajs-3916	353	24	a	a	DET
iajs-3916	353	25	haystack	haystack	NOUN
iajs-3916	353	26	:	:	PUNCT
iajs-3916	353	27	detecting	detect	VERB
iajs-3916	353	28	knee	knee	NOUN
iajs-3916	353	29	points	point	NOUN
iajs-3916	353	30	in	in	ADP
iajs-3916	353	31	system	system	NOUN
iajs-3916	353	32	behavior	behavior	NOUN
iajs-3916	353	33	.	.	PUNCT
iajs-3916	354	1	in	in	ADP
iajs-3916	354	2	2011	2011	NUM
iajs-3916	354	3	31st	31st	NOUN
iajs-3916	354	4	international	international	ADJ
iajs-3916	354	5	conference	conference	NOUN
iajs-3916	354	6	on	on	ADP
iajs-3916	354	7	distributed	distribute	VERB
iajs-3916	354	8	computing	computing	NOUN
iajs-3916	354	9	systems	system	NOUN
iajs-3916	354	10	workshops	workshop	NOUN
iajs-3916	354	11	2011	2011	NUM
iajs-3916	354	12	,	,	PUNCT
iajs-3916	354	13	mn	mn	PROPN
iajs-3916	354	14	,	,	PUNCT
iajs-3916	354	15	usa	usa	PROPN
iajs-3916	354	16	,	,	PUNCT
iajs-3916	354	17	166–171	166–171	NUM
iajs-3916	354	18	.	.	PUNCT
iajs-3916	355	1	ieee	ieee	NOUN
iajs-3916	355	2	https://doi.org/	https://doi.org/	VERB
iajs-3916	355	3	10.1109	10.1109	NUM
iajs-3916	355	4	/	/	SYM
iajs-3916	355	5	icdcsw.2011.20	icdcsw.2011.20	NOUN
iajs-3916	355	6	1	1	NUM
iajs-3916	355	7	.	.	PUNCT
iajs-3916	356	1	introduction	introduction	NOUN
iajs-3916	356	2	2	2	NUM
iajs-3916	356	3	.	.	PUNCT
iajs-3916	357	1	literature	literature	NOUN
iajs-3916	357	2	review	review	NOUN
iajs-3916	357	3	3	3	X
iajs-3916	357	4	.	.	PUNCT
iajs-3916	357	5	research	research	NOUN
iajs-3916	357	6	methodology	methodology	NOUN
iajs-3916	357	7	3.1	3.1	NUM
iajs-3916	357	8	dataset	dataset	NOUN
iajs-3916	357	9	where	where	SCONJ
iajs-3916	357	10	,	,	PUNCT
iajs-3916	357	11	𝑥-𝑡.	𝑥-𝑡.	PROPN
iajs-3916	357	12	𝑖𝑠	𝑖𝑠	ADP
iajs-3916	357	13	the	the	DET
iajs-3916	357	14	input	input	NOUN
iajs-3916	357	15	vector	vector	NOUN
iajs-3916	357	16	,	,	PUNCT
iajs-3916	357	17	,	,	PUNCT
iajs-3916	357	18	ℎ-𝑡.	ℎ-𝑡.	PROPN
iajs-3916	357	19	is	be	AUX
iajs-3916	357	20	the	the	DET
iajs-3916	357	21	hidden	hide	VERB
iajs-3916	357	22	layer	layer	NOUN
iajs-3916	357	23	vector	vector	NOUN
iajs-3916	357	24	,	,	PUNCT
iajs-3916	357	25	ot	ot	X
iajs-3916	357	26	is	be	AUX
iajs-3916	357	27	the	the	DET
iajs-3916	357	28	output	output	NOUN
iajs-3916	357	29	vector	vector	NOUN
iajs-3916	357	30	,	,	PUNCT
iajs-3916	357	31	𝑊	𝑊	PROPN
iajs-3916	357	32	,	,	PUNCT
iajs-3916	357	33	𝑈	𝑈	PROPN
iajs-3916	357	34	,	,	PUNCT
iajs-3916	357	35	𝑉	𝑉	PROPN
iajs-3916	357	36	are	be	AUX
iajs-3916	357	37	parameter	parameter	NOUN
iajs-3916	357	38	matrices	matrix	NOUN
iajs-3916	357	39	and	and	CCONJ
iajs-3916	357	40	vector	vector	NOUN
iajs-3916	357	41	,	,	PUNCT
iajs-3916	357	42	,	,	PUNCT
iajs-3916	357	43	𝜎-𝑥.,,𝜎-𝑂	𝜎-𝑥.,,𝜎-𝑂	NUM
iajs-3916	357	44	.are	.are	NOUN
iajs-3916	357	45	activation	activation	NOUN
iajs-3916	357	46	functions	function	NOUN
iajs-3916	357	47	.	.	PUNCT
iajs-3916	358	1	a	a	DET
iajs-3916	358	2	gru	gru	NOUN
iajs-3916	358	3	unit	unit	NOUN
iajs-3916	358	4	comprises	comprise	VERB
iajs-3916	358	5	three	three	NUM
iajs-3916	358	6	primary	primary	ADJ
iajs-3916	358	7	components	component	NOUN
iajs-3916	358	8	:	:	PUNCT
iajs-3916	358	9	an	an	DET
iajs-3916	358	10	update	update	NOUN
iajs-3916	358	11	gat	gat	NOUN
iajs-3916	358	12	...	...	PUNCT
iajs-3916	358	13	4	4	X
iajs-3916	358	14	.	.	NOUN
iajs-3916	358	15	results	result	VERB
iajs-3916	358	16	5	5	NUM
iajs-3916	358	17	.	.	PUNCT
iajs-3916	358	18	conclusion	conclusion	NOUN
iajs-3916	358	19	and	and	CCONJ
iajs-3916	358	20	future	future	ADJ
iajs-3916	358	21	work	work	NOUN