id	sid	tid	token	lemma	pos
cana-654	1	1	communications	communication	NOUN
cana-654	1	2	on	on	ADP
cana-654	1	3	applied	apply	VERB
cana-654	1	4	nonlinear	nonlinear	ADJ
cana-654	1	5	analysis	analysis	NOUN
cana-654	1	6	issn	issn	NOUN
cana-654	1	7	:	:	PUNCT
cana-654	1	8	1074	1074	NUM
cana-654	1	9	-	-	PUNCT
cana-654	1	10	133x	133x	NUM
cana-654	1	11	vol	vol	NOUN
cana-654	1	12	31	31	NUM
cana-654	1	13	no	no	NOUN
cana-654	1	14	.	.	PUNCT
cana-654	2	1	2s	2s	NUM
cana-654	2	2	(	(	PUNCT
cana-654	2	3	2024	2024	NUM
cana-654	2	4	)	)	PUNCT
cana-654	2	5	360	360	NUM
cana-654	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-654	2	7	an	an	DET
cana-654	2	8	statistical	statistical	ADJ
cana-654	2	9	analysis	analysis	NOUN
cana-654	2	10	of	of	ADP
cana-654	2	11	gated	gate	VERB
cana-654	2	12	recurrent	recurrent	ADJ
cana-654	2	13	unit	unit	NOUN
cana-654	2	14	based	base	VERB
cana-654	2	15	predictive	predictive	ADJ
cana-654	2	16	modelling	modelling	NOUN
cana-654	2	17	for	for	ADP
cana-654	2	18	dynamic	dynamic	ADJ
cana-654	2	19	obstacle	obstacle	NOUN
cana-654	2	20	avoidance	avoidance	NOUN
cana-654	2	21	in	in	ADP
cana-654	2	22	autonomous	autonomous	ADJ
cana-654	2	23	aerial	aerial	ADJ
cana-654	2	24	vehicles	vehicle	NOUN
cana-654	2	25	1dr	1dr	NOUN
cana-654	2	26	.	.	PUNCT
cana-654	3	1	nisha	nisha	PROPN
cana-654	3	2	wankhade	wankhade	PROPN
cana-654	3	3	,	,	PUNCT
cana-654	3	4	2dr	2dr	ADJ
cana-654	3	5	srilatha	srilatha	NOUN
cana-654	3	6	pulipati	pulipati	NOUN
cana-654	3	7	,	,	PUNCT
cana-654	3	8	3dr	3dr	NOUN
cana-654	3	9	.	.	PUNCT
cana-654	4	1	manoj	manoj	PROPN
cana-654	4	2	vasantrao	vasantrao	PROPN
cana-654	4	3	bramhe	bramhe	PROPN
cana-654	4	4	,	,	PUNCT
cana-654	4	5	4dr	4dr	NOUN
cana-654	4	6	.	.	PUNCT
cana-654	5	1	r.	r.	PROPN
cana-654	5	2	b.	b.	PROPN
cana-654	5	3	raut	raut	PROPN
cana-654	5	4	,	,	PUNCT
cana-654	5	5	5dr	5dr	PROPN
cana-654	5	6	.	.	PUNCT
cana-654	5	7	snehlata	snehlata	PROPN
cana-654	5	8	dongre	dongre	NOUN
cana-654	5	9	,	,	PUNCT
cana-654	5	10	6dr	6dr	NOUN
cana-654	5	11	.	.	PUNCT
cana-654	6	1	piyush	piyush	PROPN
cana-654	6	2	k.	k.	PROPN
cana-654	6	3	ingole	ingole	PROPN
cana-654	6	4	1assistant	1assistant	PROPN
cana-654	6	5	professor	professor	NOUN
cana-654	6	6	,	,	PUNCT
cana-654	6	7	department	department	NOUN
cana-654	6	8	of	of	ADP
cana-654	6	9	information	information	NOUN
cana-654	6	10	technology	technology	NOUN
cana-654	6	11	,	,	PUNCT
cana-654	6	12	yeshwantrao	yeshwantrao	NOUN
cana-654	6	13	chavan	chavan	PROPN
cana-654	6	14	college	college	PROPN
cana-654	6	15	of	of	ADP
cana-654	6	16	engineering	engineering	PROPN
cana-654	6	17	,	,	PUNCT
cana-654	6	18	nagpur	nagpur	PROPN
cana-654	6	19	,	,	PUNCT
cana-654	6	20	maharashtra	maharashtra	PROPN
cana-654	6	21	,	,	PUNCT
cana-654	6	22	india	india	PROPN
cana-654	6	23	nisha.ycce@gmail.com	nisha.ycce@gmail.com	X
cana-654	6	24	2associate	2associate	NUM
cana-654	6	25	professor	professor	NOUN
cana-654	6	26	,	,	PUNCT
cana-654	6	27	department	department	NOUN
cana-654	6	28	of	of	ADP
cana-654	6	29	ai	ai	PROPN
cana-654	6	30	&	&	CCONJ
cana-654	6	31	ds	ds	PROPN
cana-654	6	32	,	,	PUNCT
cana-654	6	33	chaitanya	chaitanya	PROPN
cana-654	6	34	bharathi	bharathi	PROPN
cana-654	6	35	institute	institute	PROPN
cana-654	6	36	of	of	ADP
cana-654	6	37	technology	technology	PROPN
cana-654	6	38	,	,	PUNCT
cana-654	6	39	hyderabad	hyderabad	PROPN
cana-654	6	40	,	,	PUNCT
cana-654	6	41	telangana	telangana	PROPN
cana-654	6	42	,	,	PUNCT
cana-654	6	43	india	india	PROPN
cana-654	6	44	.	.	PUNCT
cana-654	7	1	pulipatisrilatha_aids@cbit.ac.in	pulipatisrilatha_aids@cbit.ac.in	PROPN
cana-654	7	2	3professor	3professor	NUM
cana-654	7	3	,	,	PUNCT
cana-654	7	4	department	department	NOUN
cana-654	7	5	of	of	ADP
cana-654	7	6	information	information	NOUN
cana-654	7	7	technology	technology	PROPN
cana-654	7	8	,	,	PUNCT
cana-654	7	9	st	st	PROPN
cana-654	7	10	.	.	PROPN
cana-654	7	11	vincent	vincent	PROPN
cana-654	7	12	pallotti	pallotti	PROPN
cana-654	7	13	college	college	PROPN
cana-654	7	14	of	of	ADP
cana-654	7	15	engineering	engineering	NOUN
cana-654	7	16	and	and	CCONJ
cana-654	7	17	technology	technology	NOUN
cana-654	7	18	,	,	PUNCT
cana-654	7	19	nagpur	nagpur	PROPN
cana-654	7	20	,	,	PUNCT
cana-654	7	21	maharashtra	maharashtra	PROPN
cana-654	7	22	,	,	PUNCT
cana-654	7	23	india	india	PROPN
cana-654	7	24	.	.	PROPN
cana-654	8	1	mbramhe@stvincentngp.edu.in	mbramhe@stvincentngp.edu.in	PROPN
cana-654	8	2	4associate	4associate	PROPN
cana-654	8	3	professor	professor	NOUN
cana-654	8	4	,	,	PUNCT
cana-654	8	5	department	department	NOUN
cana-654	8	6	of	of	ADP
cana-654	8	7	electronics	electronic	NOUN
cana-654	8	8	and	and	CCONJ
cana-654	8	9	communication	communication	NOUN
cana-654	8	10	engineering	engineering	NOUN
cana-654	8	11	,	,	PUNCT
cana-654	8	12	shri	shri	PROPN
cana-654	8	13	ramdeobaba	ramdeobaba	PROPN
cana-654	8	14	college	college	NOUN
cana-654	8	15	of	of	ADP
cana-654	8	16	engineering	engineering	NOUN
cana-654	8	17	and	and	CCONJ
cana-654	8	18	management	management	NOUN
cana-654	8	19	,	,	PUNCT
cana-654	8	20	nagpur	nagpur	PROPN
cana-654	8	21	,	,	PUNCT
cana-654	8	22	maharashtra	maharashtra	PROPN
cana-654	8	23	,	,	PUNCT
cana-654	8	24	india	india	PROPN
cana-654	8	25	rautrb@rknec.edu	rautrb@rknec.edu	PROPN
cana-654	9	1	5department	5department	NUM
cana-654	9	2	of	of	ADP
cana-654	9	3	computer	computer	NOUN
cana-654	9	4	science	science	NOUN
cana-654	9	5	and	and	CCONJ
cana-654	9	6	engineering	engineering	NOUN
cana-654	9	7	,	,	PUNCT
cana-654	9	8	g	g	PROPN
cana-654	9	9	h	h	PROPN
cana-654	9	10	raisoni	raisoni	PROPN
cana-654	9	11	college	college	PROPN
cana-654	9	12	of	of	ADP
cana-654	9	13	engineering	engineering	PROPN
cana-654	9	14	,	,	PUNCT
cana-654	9	15	nagpur	nagpur	PROPN
cana-654	9	16	,	,	PUNCT
cana-654	9	17	maharashtra	maharashtra	PROPN
cana-654	9	18	,	,	PUNCT
cana-654	9	19	india	india	PROPN
cana-654	9	20	.	.	PUNCT
cana-654	10	1	dongre.sneha@gmail.com	dongre.sneha@gmail.com	X
cana-654	11	1	6department	6department	NUM
cana-654	11	2	of	of	ADP
cana-654	11	3	computer	computer	NOUN
cana-654	11	4	science	science	NOUN
cana-654	11	5	and	and	CCONJ
cana-654	11	6	engineering	engineering	NOUN
cana-654	11	7	,	,	PUNCT
cana-654	11	8	jhulelal	jhulelal	PROPN
cana-654	11	9	institute	institute	PROPN
cana-654	11	10	of	of	ADP
cana-654	11	11	technology	technology	PROPN
cana-654	11	12	,	,	PUNCT
cana-654	11	13	nagpur	nagpur	PROPN
cana-654	11	14	,	,	PUNCT
cana-654	11	15	maharashtra	maharashtra	PROPN
cana-654	11	16	,	,	PUNCT
cana-654	11	17	india	india	PROPN
cana-654	11	18	.	.	PUNCT
cana-654	12	1	piyush.ingole@gmail.com	piyush.ingole@gmail.com	PROPN
cana-654	12	2	article	article	NOUN
cana-654	12	3	history	history	NOUN
cana-654	12	4	:	:	PUNCT
cana-654	12	5	received	receive	VERB
cana-654	12	6	:	:	PUNCT
cana-654	12	7	24	24	NUM
cana-654	12	8	-	-	PUNCT
cana-654	12	9	03	03	NUM
cana-654	12	10	-	-	PUNCT
cana-654	12	11	2024	2024	NUM
cana-654	12	12	revised	revise	VERB
cana-654	12	13	:	:	PUNCT
cana-654	12	14	12	12	NUM
cana-654	12	15	-	-	SYM
cana-654	12	16	05	05	NUM
cana-654	12	17	-	-	PUNCT
cana-654	12	18	2024	2024	NUM
cana-654	12	19	accepted	accept	VERB
cana-654	12	20	:	:	PUNCT
cana-654	12	21	25	25	NUM
cana-654	12	22	-	-	PUNCT
cana-654	12	23	05	05	NUM
cana-654	12	24	-	-	PUNCT
cana-654	12	25	2024	2024	NUM
cana-654	12	26	abstract	abstract	NOUN
cana-654	12	27	:	:	PUNCT
cana-654	12	28	more	more	ADJ
cana-654	12	29	and	and	CCONJ
cana-654	12	30	more	more	ADJ
cana-654	12	31	,	,	PUNCT
cana-654	12	32	autonomous	autonomous	ADJ
cana-654	12	33	aerial	aerial	ADJ
cana-654	12	34	vehicles	vehicle	NOUN
cana-654	12	35	(	(	PUNCT
cana-654	12	36	aavs	aavs	PROPN
cana-654	12	37	)	)	PUNCT
cana-654	12	38	are	be	AUX
cana-654	12	39	being	be	AUX
cana-654	12	40	used	use	VERB
cana-654	12	41	for	for	ADP
cana-654	12	42	a	a	DET
cana-654	12	43	wide	wide	ADJ
cana-654	12	44	range	range	NOUN
cana-654	12	45	of	of	ADP
cana-654	12	46	tasks	task	NOUN
cana-654	12	47	,	,	PUNCT
cana-654	12	48	such	such	ADJ
cana-654	12	49	as	as	ADP
cana-654	12	50	monitoring	monitoring	NOUN
cana-654	12	51	,	,	PUNCT
cana-654	12	52	search	search	NOUN
cana-654	12	53	and	and	CCONJ
cana-654	12	54	rescue	rescue	NOUN
cana-654	12	55	,	,	PUNCT
cana-654	12	56	and	and	CCONJ
cana-654	12	57	item	item	NOUN
cana-654	12	58	delivery	delivery	NOUN
cana-654	12	59	.	.	PUNCT
cana-654	13	1	one	one	NUM
cana-654	13	2	important	important	ADJ
cana-654	13	3	part	part	NOUN
cana-654	13	4	of	of	ADP
cana-654	13	5	aavs	aavs	NOUN
cana-654	13	6	'	'	PART
cana-654	13	7	liberty	liberty	NOUN
cana-654	13	8	is	be	AUX
cana-654	13	9	that	that	SCONJ
cana-654	13	10	they	they	PRON
cana-654	13	11	can	can	AUX
cana-654	13	12	safely	safely	ADV
cana-654	13	13	move	move	VERB
cana-654	13	14	through	through	ADP
cana-654	13	15	changing	change	VERB
cana-654	13	16	surroundings	surrounding	NOUN
cana-654	13	17	.	.	PUNCT
cana-654	14	1	to	to	PART
cana-654	14	2	be	be	AUX
cana-654	14	3	successful	successful	ADJ
cana-654	14	4	at	at	ADP
cana-654	14	5	dynamic	dynamic	ADJ
cana-654	14	6	obstacle	obstacle	NOUN
cana-654	14	7	avoidance	avoidance	NOUN
cana-654	14	8	,	,	PUNCT
cana-654	14	9	you	you	PRON
cana-654	14	10	need	need	VERB
cana-654	14	11	to	to	PART
cana-654	14	12	be	be	AUX
cana-654	14	13	able	able	ADJ
cana-654	14	14	to	to	PART
cana-654	14	15	guess	guess	VERB
cana-654	14	16	how	how	SCONJ
cana-654	14	17	objects	object	NOUN
cana-654	14	18	will	will	AUX
cana-654	14	19	move	move	VERB
cana-654	14	20	in	in	ADP
cana-654	14	21	real	real	ADJ
cana-654	14	22	time	time	NOUN
cana-654	14	23	using	use	VERB
cana-654	14	24	good	good	ADJ
cana-654	14	25	predictive	predictive	ADJ
cana-654	14	26	modeling	modeling	NOUN
cana-654	14	27	.	.	PUNCT
cana-654	15	1	in	in	ADP
cana-654	15	2	this	this	DET
cana-654	15	3	work	work	NOUN
cana-654	15	4	,	,	PUNCT
cana-654	15	5	we	we	PRON
cana-654	15	6	suggest	suggest	VERB
cana-654	15	7	a	a	DET
cana-654	15	8	new	new	ADJ
cana-654	15	9	way	way	NOUN
cana-654	15	10	to	to	PART
cana-654	15	11	use	use	VERB
cana-654	15	12	gated	gate	VERB
cana-654	15	13	recurrent	recurrent	ADJ
cana-654	15	14	units	unit	NOUN
cana-654	15	15	(	(	PUNCT
cana-654	15	16	grus	grus	NOUN
cana-654	15	17	)	)	PUNCT
cana-654	15	18	for	for	ADP
cana-654	15	19	predictive	predictive	ADJ
cana-654	15	20	models	model	NOUN
cana-654	15	21	in	in	ADP
cana-654	15	22	aavs	aavs	NOUN
cana-654	15	23	'	'	PART
cana-654	15	24	dynamic	dynamic	ADJ
cana-654	15	25	obstacle	obstacle	NOUN
cana-654	15	26	avoidance	avoidance	NOUN
cana-654	15	27	.	.	PUNCT
cana-654	16	1	this	this	PRON
cana-654	16	2	is	be	AUX
cana-654	16	3	a	a	DET
cana-654	16	4	type	type	NOUN
cana-654	16	5	of	of	ADP
cana-654	16	6	recurrent	recurrent	ADJ
cana-654	16	7	neural	neural	ADJ
cana-654	16	8	network	network	NOUN
cana-654	16	9	(	(	PUNCT
cana-654	16	10	rnn	rnn	PROPN
cana-654	16	11	)	)	PUNCT
cana-654	16	12	called	call	VERB
cana-654	16	13	the	the	DET
cana-654	16	14	gru	gru	NOUN
cana-654	16	15	.	.	PUNCT
cana-654	17	1	it	it	PRON
cana-654	17	2	works	work	VERB
cana-654	17	3	well	well	ADV
cana-654	17	4	for	for	ADP
cana-654	17	5	handling	handle	VERB
cana-654	17	6	linear	linear	ADJ
cana-654	17	7	data	datum	NOUN
cana-654	17	8	and	and	CCONJ
cana-654	17	9	has	have	AUX
cana-654	17	10	shown	show	VERB
cana-654	17	11	promise	promise	NOUN
cana-654	17	12	in	in	ADP
cana-654	17	13	many	many	ADJ
cana-654	17	14	areas	area	NOUN
cana-654	17	15	,	,	PUNCT
cana-654	17	16	such	such	ADJ
cana-654	17	17	as	as	ADP
cana-654	17	18	natural	natural	ADJ
cana-654	17	19	language	language	NOUN
cana-654	17	20	processing	processing	NOUN
cana-654	17	21	and	and	CCONJ
cana-654	17	22	time	time	NOUN
cana-654	17	23	series	series	PROPN
cana-654	17	24	prediction	prediction	PROPN
cana-654	17	25	.	.	PUNCT
cana-654	18	1	through	through	ADP
cana-654	18	2	our	our	PRON
cana-654	18	3	method	method	NOUN
cana-654	18	4	,	,	PUNCT
cana-654	18	5	we	we	PRON
cana-654	18	6	use	use	VERB
cana-654	18	7	grus	grus	NOUN
cana-654	18	8	to	to	PART
cana-654	18	9	predict	predict	VERB
cana-654	18	10	how	how	SCONJ
cana-654	18	11	dynamic	dynamic	ADJ
cana-654	18	12	objects	object	NOUN
cana-654	18	13	move	move	VERB
cana-654	18	14	by	by	ADP
cana-654	18	15	looking	look	VERB
cana-654	18	16	at	at	ADP
cana-654	18	17	past	past	ADJ
cana-654	18	18	data	datum	NOUN
cana-654	18	19	.	.	PUNCT
cana-654	19	1	the	the	DET
cana-654	19	2	model	model	NOUN
cana-654	19	3	projects	project	NOUN
cana-654	19	4	where	where	SCONJ
cana-654	19	5	the	the	DET
cana-654	19	6	obstacles	obstacle	NOUN
cana-654	19	7	will	will	AUX
cana-654	19	8	be	be	AUX
cana-654	19	9	in	in	ADP
cana-654	19	10	the	the	DET
cana-654	19	11	future	future	NOUN
cana-654	19	12	based	base	VERB
cana-654	19	13	on	on	ADP
cana-654	19	14	where	where	SCONJ
cana-654	19	15	the	the	DET
cana-654	19	16	aav	aav	NOUN
cana-654	19	17	is	be	AUX
cana-654	19	18	now	now	ADV
cana-654	19	19	and	and	CCONJ
cana-654	19	20	where	where	SCONJ
cana-654	19	21	they	they	PRON
cana-654	19	22	have	have	AUX
cana-654	19	23	been	be	AUX
cana-654	19	24	in	in	ADP
cana-654	19	25	the	the	DET
cana-654	19	26	past	past	NOUN
cana-654	19	27	.	.	PUNCT
cana-654	20	1	the	the	DET
cana-654	20	2	aav	aav	NOUN
cana-654	20	3	can	can	AUX
cana-654	20	4	change	change	VERB
cana-654	20	5	its	its	PRON
cana-654	20	6	direction	direction	NOUN
cana-654	20	7	to	to	PART
cana-654	20	8	avoid	avoid	VERB
cana-654	20	9	hitting	hit	VERB
cana-654	20	10	things	thing	NOUN
cana-654	20	11	by	by	ADP
cana-654	20	12	constantly	constantly	ADV
cana-654	20	13	changing	change	VERB
cana-654	20	14	its	its	PRON
cana-654	20	15	predictions	prediction	NOUN
cana-654	20	16	in	in	ADP
cana-654	20	17	real	real	ADJ
cana-654	20	18	time	time	NOUN
cana-654	20	19	.	.	PUNCT
cana-654	21	1	we	we	PRON
cana-654	21	2	use	use	VERB
cana-654	21	3	a	a	DET
cana-654	21	4	collection	collection	NOUN
cana-654	21	5	of	of	ADP
cana-654	21	6	synthetic	synthetic	ADJ
cana-654	21	7	aav	aav	NOUN
cana-654	21	8	flights	flight	NOUN
cana-654	21	9	in	in	ADP
cana-654	21	10	changing	change	VERB
cana-654	21	11	settings	setting	NOUN
cana-654	21	12	to	to	PART
cana-654	21	13	train	train	VERB
cana-654	21	14	the	the	DET
cana-654	21	15	gru	gru	NOUN
cana-654	21	16	model	model	NOUN
cana-654	21	17	.	.	PUNCT
cana-654	22	1	the	the	DET
cana-654	22	2	file	file	NOUN
cana-654	22	3	has	have	VERB
cana-654	22	4	details	detail	NOUN
cana-654	22	5	about	about	ADP
cana-654	22	6	the	the	DET
cana-654	22	7	aav	aav	PROPN
cana-654	22	8	's	's	PART
cana-654	22	9	location	location	NOUN
cana-654	22	10	,	,	PUNCT
cana-654	22	11	speed	speed	NOUN
cana-654	22	12	,	,	PUNCT
cana-654	22	13	and	and	CCONJ
cana-654	22	14	direction	direction	NOUN
cana-654	22	15	,	,	PUNCT
cana-654	22	16	as	as	ADV
cana-654	22	17	well	well	ADV
cana-654	22	18	as	as	ADP
cana-654	22	19	the	the	DET
cana-654	22	20	locations	location	NOUN
cana-654	22	21	of	of	ADP
cana-654	22	22	moving	move	VERB
cana-654	22	23	objects	object	NOUN
cana-654	22	24	.	.	PUNCT
cana-654	23	1	we	we	PRON
cana-654	23	2	preprocess	preprocess	VERB
cana-654	23	3	the	the	DET
cana-654	23	4	data	datum	NOUN
cana-654	23	5	to	to	PART
cana-654	23	6	get	get	VERB
cana-654	23	7	the	the	DET
cana-654	23	8	important	important	ADJ
cana-654	23	9	traits	trait	NOUN
cana-654	23	10	out	out	ADP
cana-654	23	11	of	of	ADP
cana-654	23	12	it	it	PRON
cana-654	23	13	and	and	CCONJ
cana-654	23	14	make	make	VERB
cana-654	23	15	it	it	PRON
cana-654	23	16	more	more	ADV
cana-654	23	17	uniform	uniform	ADJ
cana-654	23	18	so	so	SCONJ
cana-654	23	19	that	that	SCONJ
cana-654	23	20	the	the	DET
cana-654	23	21	training	training	NOUN
cana-654	23	22	process	process	NOUN
cana-654	23	23	works	work	VERB
cana-654	23	24	better	well	ADV
cana-654	23	25	.	.	PUNCT
cana-654	24	1	then	then	ADV
cana-654	24	2	,	,	PUNCT
cana-654	24	3	we	we	PRON
cana-654	24	4	train	train	VERB
cana-654	24	5	the	the	DET
cana-654	24	6	gru	gru	NOUN
cana-654	24	7	model	model	NOUN
cana-654	24	8	using	use	VERB
cana-654	24	9	both	both	PRON
cana-654	24	10	past	past	ADJ
cana-654	24	11	data	datum	NOUN
cana-654	24	12	and	and	CCONJ
cana-654	24	13	real	real	ADJ
cana-654	24	14	-	-	PUNCT
cana-654	24	15	world	world	NOUN
cana-654	24	16	information	information	NOUN
cana-654	24	17	about	about	ADP
cana-654	24	18	where	where	SCONJ
cana-654	24	19	obstacles	obstacle	NOUN
cana-654	24	20	will	will	AUX
cana-654	24	21	be	be	AUX
cana-654	24	22	in	in	ADP
cana-654	24	23	the	the	DET
cana-654	24	24	future	future	NOUN
cana-654	24	25	.	.	PUNCT
cana-654	25	1	we	we	PRON
cana-654	25	2	use	use	VERB
cana-654	25	3	a	a	DET
cana-654	25	4	set	set	NOUN
cana-654	25	5	of	of	ADP
cana-654	25	6	measures	measure	NOUN
cana-654	25	7	,	,	PUNCT
cana-654	25	8	such	such	ADJ
cana-654	25	9	as	as	ADP
cana-654	25	10	impact	impact	NOUN
cana-654	25	11	rate	rate	NOUN
cana-654	25	12	,	,	PUNCT
cana-654	25	13	forecast	forecast	NOUN
cana-654	25	14	accuracy	accuracy	NOUN
cana-654	25	15	,	,	PUNCT
cana-654	25	16	and	and	CCONJ
cana-654	25	17	processing	processing	NOUN
cana-654	25	18	speed	speed	NOUN
cana-654	25	19	,	,	PUNCT
cana-654	25	20	to	to	PART
cana-654	25	21	judge	judge	VERB
cana-654	25	22	how	how	SCONJ
cana-654	25	23	well	well	ADV
cana-654	25	24	our	our	PRON
cana-654	25	25	method	method	NOUN
cana-654	25	26	works	work	VERB
cana-654	25	27	.	.	PUNCT
cana-654	26	1	the	the	DET
cana-654	26	2	outcomes	outcome	NOUN
cana-654	26	3	show	show	VERB
cana-654	26	4	that	that	SCONJ
cana-654	26	5	the	the	DET
cana-654	26	6	grubased	grubase	VERB
cana-654	26	7	predictive	predictive	ADJ
cana-654	26	8	modeling	modeling	NOUN
cana-654	26	9	method	method	NOUN
cana-654	26	10	greatly	greatly	ADV
cana-654	26	11	enhances	enhance	VERB
cana-654	26	12	dynamic	dynamic	ADJ
cana-654	26	13	obstacle	obstacle	NOUN
cana-654	26	14	avoidance	avoidance	NOUN
cana-654	26	15	performance	performance	NOUN
cana-654	26	16	when	when	SCONJ
cana-654	26	17	compared	compare	VERB
cana-654	26	18	to	to	ADP
cana-654	26	19	conventional	conventional	ADJ
cana-654	26	20	approaches	approach	NOUN
cana-654	26	21	.	.	PUNCT
cana-654	27	1	the	the	DET
cana-654	27	2	aav	aav	NOUN
cana-654	27	3	that	that	PRON
cana-654	27	4	has	have	VERB
cana-654	27	5	our	our	PRON
cana-654	27	6	model	model	NOUN
cana-654	27	7	can	can	AUX
cana-654	27	8	successfully	successfully	ADV
cana-654	27	9	communications	communication	VERB
cana-654	27	10	on	on	ADP
cana-654	27	11	applied	apply	VERB
cana-654	27	12	nonlinear	nonlinear	ADJ
cana-654	27	13	analysis	analysis	NOUN
cana-654	27	14	issn	issn	NOUN
cana-654	27	15	:	:	PUNCT
cana-654	27	16	1074	1074	NUM
cana-654	27	17	-	-	PUNCT
cana-654	27	18	133x	133x	NUM
cana-654	27	19	vol	vol	NOUN
cana-654	27	20	31	31	NUM
cana-654	27	21	no	no	NOUN
cana-654	27	22	.	.	PUNCT
cana-654	28	1	2s	2s	NUM
cana-654	28	2	(	(	PUNCT
cana-654	28	3	2024	2024	NUM
cana-654	28	4	)	)	PUNCT
cana-654	28	5	361	361	NUM
cana-654	28	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-654	28	7	move	move	VERB
cana-654	28	8	through	through	ADP
cana-654	28	9	complex	complex	ADJ
cana-654	28	10	settings	setting	NOUN
cana-654	28	11	with	with	ADP
cana-654	28	12	changing	change	VERB
cana-654	28	13	objects	object	NOUN
cana-654	28	14	,	,	PUNCT
cana-654	28	15	staying	stay	VERB
cana-654	28	16	on	on	ADP
cana-654	28	17	a	a	DET
cana-654	28	18	smooth	smooth	ADJ
cana-654	28	19	path	path	NOUN
cana-654	28	20	without	without	ADP
cana-654	28	21	running	run	VERB
cana-654	28	22	into	into	ADP
cana-654	28	23	any	any	DET
cana-654	28	24	problems	problem	NOUN
cana-654	28	25	.	.	PUNCT
cana-654	29	1	keywords	keyword	NOUN
cana-654	29	2	:	:	PUNCT
cana-654	29	3	autonomous	autonomous	ADJ
cana-654	29	4	aerial	aerial	ADJ
cana-654	29	5	vehicles	vehicle	NOUN
cana-654	29	6	,	,	PUNCT
cana-654	29	7	dynamic	dynamic	ADJ
cana-654	29	8	obstacle	obstacle	NOUN
cana-654	29	9	avoidance	avoidance	NOUN
cana-654	29	10	,	,	PUNCT
cana-654	29	11	predictive	predictive	ADJ
cana-654	29	12	modeling	modeling	NOUN
cana-654	29	13	,	,	PUNCT
cana-654	29	14	gated	gate	VERB
cana-654	29	15	recurrent	recurrent	ADJ
cana-654	29	16	units	unit	NOUN
cana-654	29	17	,	,	PUNCT
cana-654	29	18	real	real	ADJ
cana-654	29	19	-	-	PUNCT
cana-654	29	20	time	time	NOUN
cana-654	29	21	decision	decision	NOUN
cana-654	29	22	-	-	PUNCT
cana-654	29	23	making	making	NOUN
cana-654	29	24	.	.	PUNCT
cana-654	30	1	1	1	X
cana-654	30	2	.	.	X
cana-654	30	3	introduction	introduction	NOUN
cana-654	30	4	in	in	ADP
cana-654	30	5	the	the	DET
cana-654	30	6	past	past	ADJ
cana-654	30	7	few	few	ADJ
cana-654	30	8	years	year	NOUN
cana-654	30	9	,	,	PUNCT
cana-654	30	10	autonomous	autonomous	ADJ
cana-654	30	11	aerial	aerial	ADJ
cana-654	30	12	vehicles	vehicle	NOUN
cana-654	30	13	(	(	PUNCT
cana-654	30	14	aavs	aavs	ADV
cana-654	30	15	)	)	PUNCT
cana-654	30	16	have	have	AUX
cana-654	30	17	gotten	get	VERB
cana-654	30	18	a	a	DET
cana-654	30	19	lot	lot	NOUN
cana-654	30	20	of	of	ADP
cana-654	30	21	interest	interest	NOUN
cana-654	30	22	because	because	SCONJ
cana-654	30	23	they	they	PRON
cana-654	30	24	could	could	AUX
cana-654	30	25	change	change	VERB
cana-654	30	26	many	many	ADJ
cana-654	30	27	fields	field	NOUN
cana-654	30	28	,	,	PUNCT
cana-654	30	29	such	such	ADJ
cana-654	30	30	as	as	ADP
cana-654	30	31	transportation	transportation	NOUN
cana-654	30	32	,	,	PUNCT
cana-654	30	33	monitoring	monitoring	NOUN
cana-654	30	34	,	,	PUNCT
cana-654	30	35	and	and	CCONJ
cana-654	30	36	farmland	farmland	NOUN
cana-654	30	37	.	.	PUNCT
cana-654	31	1	one	one	NUM
cana-654	31	2	of	of	ADP
cana-654	31	3	the	the	DET
cana-654	31	4	biggest	big	ADJ
cana-654	31	5	problems	problem	NOUN
cana-654	31	6	with	with	ADP
cana-654	31	7	using	use	VERB
cana-654	31	8	aavs	aavs	NOUN
cana-654	31	9	in	in	ADP
cana-654	31	10	real	real	ADJ
cana-654	31	11	life	life	NOUN
cana-654	31	12	is	be	AUX
cana-654	31	13	making	make	VERB
cana-654	31	14	sure	sure	ADJ
cana-654	31	15	they	they	PRON
cana-654	31	16	can	can	AUX
cana-654	31	17	safely	safely	ADV
cana-654	31	18	move	move	VERB
cana-654	31	19	through	through	ADP
cana-654	31	20	changing	change	VERB
cana-654	31	21	surroundings	surrounding	NOUN
cana-654	31	22	.	.	PUNCT
cana-654	32	1	it	it	PRON
cana-654	32	2	is	be	AUX
cana-654	32	3	very	very	ADV
cana-654	32	4	important	important	ADJ
cana-654	32	5	for	for	SCONJ
cana-654	32	6	the	the	DET
cana-654	32	7	safety	safety	NOUN
cana-654	32	8	and	and	CCONJ
cana-654	32	9	speed	speed	NOUN
cana-654	32	10	of	of	ADP
cana-654	32	11	aav	aav	NOUN
cana-654	32	12	operations	operation	NOUN
cana-654	32	13	to	to	PART
cana-654	32	14	avoid	avoid	VERB
cana-654	32	15	accidents	accident	NOUN
cana-654	32	16	with	with	ADP
cana-654	32	17	moving	move	VERB
cana-654	32	18	objects	object	NOUN
cana-654	32	19	like	like	ADP
cana-654	32	20	other	other	ADJ
cana-654	32	21	vehicles	vehicle	NOUN
cana-654	32	22	,	,	PUNCT
cana-654	32	23	people	people	NOUN
cana-654	32	24	,	,	PUNCT
cana-654	32	25	and	and	CCONJ
cana-654	32	26	animals	animal	NOUN
cana-654	32	27	.	.	PUNCT
cana-654	33	1	this	this	PRON
cana-654	33	2	is	be	AUX
cana-654	33	3	called	call	VERB
cana-654	33	4	dynamic	dynamic	ADJ
cana-654	33	5	obstacle	obstacle	NOUN
cana-654	33	6	avoidance	avoidance	NOUN
cana-654	33	7	.	.	PUNCT
cana-654	34	1	traditional	traditional	ADJ
cana-654	34	2	ways	way	NOUN
cana-654	34	3	of	of	ADP
cana-654	34	4	making	make	VERB
cana-654	34	5	aavs	aavs	NOUN
cana-654	34	6	avoid	avoid	VERB
cana-654	34	7	moving	move	VERB
cana-654	34	8	obstacles	obstacle	NOUN
cana-654	34	9	depend	depend	VERB
cana-654	34	10	on	on	ADP
cana-654	34	11	rules	rule	NOUN
cana-654	34	12	or	or	CCONJ
cana-654	34	13	paths	path	NOUN
cana-654	34	14	that	that	PRON
cana-654	34	15	are	be	AUX
cana-654	34	16	set	set	VERB
cana-654	34	17	up	up	ADP
cana-654	34	18	ahead	ahead	ADV
cana-654	34	19	of	of	ADP
cana-654	34	20	time	time	NOUN
cana-654	34	21	using	use	VERB
cana-654	34	22	static	static	ADJ
cana-654	34	23	maps	map	NOUN
cana-654	34	24	or	or	CCONJ
cana-654	34	25	sensor	sensor	NOUN
cana-654	34	26	data	datum	NOUN
cana-654	34	27	.	.	PUNCT
cana-654	35	1	these	these	DET
cana-654	35	2	methods	method	NOUN
cana-654	35	3	may	may	AUX
cana-654	35	4	work	work	VERB
cana-654	35	5	in	in	ADP
cana-654	35	6	some	some	DET
cana-654	35	7	situations	situation	NOUN
cana-654	35	8	,	,	PUNCT
cana-654	35	9	but	but	CCONJ
cana-654	35	10	they	they	PRON
cana-654	35	11	often	often	ADV
cana-654	35	12	fail	fail	VERB
cana-654	35	13	to	to	PART
cana-654	35	14	adapt	adapt	VERB
cana-654	35	15	to	to	ADP
cana-654	35	16	settings	setting	NOUN
cana-654	35	17	that	that	PRON
cana-654	35	18	are	be	AUX
cana-654	35	19	uncertain	uncertain	ADJ
cana-654	35	20	or	or	CCONJ
cana-654	35	21	change	change	VERB
cana-654	35	22	quickly	quickly	ADV
cana-654	35	23	[	[	X
cana-654	35	24	1	1	NUM
cana-654	35	25	]	]	PUNCT
cana-654	35	26	.	.	PUNCT
cana-654	36	1	also	also	ADV
cana-654	36	2	,	,	PUNCT
cana-654	36	3	they	they	PRON
cana-654	36	4	might	might	AUX
cana-654	36	5	not	not	PART
cana-654	36	6	be	be	AUX
cana-654	36	7	able	able	ADJ
cana-654	36	8	to	to	PART
cana-654	36	9	handle	handle	VERB
cana-654	36	10	how	how	SCONJ
cana-654	36	11	multiple	multiple	ADJ
cana-654	36	12	moving	move	VERB
cana-654	36	13	objects	object	NOUN
cana-654	36	14	interact	interact	VERB
cana-654	36	15	with	with	ADP
cana-654	36	16	each	each	DET
cana-654	36	17	other	other	ADJ
cana-654	36	18	in	in	ADP
cana-654	36	19	complicated	complicated	ADJ
cana-654	36	20	ways	way	NOUN
cana-654	36	21	.	.	PUNCT
cana-654	37	1	to	to	PART
cana-654	37	2	deal	deal	VERB
cana-654	37	3	with	with	ADP
cana-654	37	4	these	these	DET
cana-654	37	5	problems	problem	NOUN
cana-654	37	6	,	,	PUNCT
cana-654	37	7	academics	academic	NOUN
cana-654	37	8	have	have	AUX
cana-654	37	9	looked	look	VERB
cana-654	37	10	to	to	ADP
cana-654	37	11	machine	machine	NOUN
cana-654	37	12	learning	learning	NOUN
cana-654	37	13	methods	method	NOUN
cana-654	37	14	,	,	PUNCT
cana-654	37	15	especially	especially	ADV
cana-654	37	16	prediction	prediction	NOUN
cana-654	37	17	modeling	modeling	NOUN
cana-654	37	18	,	,	PUNCT
cana-654	37	19	to	to	PART
cana-654	37	20	help	help	VERB
cana-654	37	21	aavs	aavs	VERB
cana-654	37	22	guess	guess	VERB
cana-654	37	23	how	how	SCONJ
cana-654	37	24	moving	move	VERB
cana-654	37	25	objects	object	NOUN
cana-654	37	26	will	will	AUX
cana-654	37	27	affect	affect	VERB
cana-654	37	28	their	their	PRON
cana-654	37	29	paths	path	NOUN
cana-654	37	30	and	and	CCONJ
cana-654	37	31	plan	plan	VERB
cana-654	37	32	their	their	PRON
cana-654	37	33	flights	flight	NOUN
cana-654	37	34	accordingly	accordingly	ADV
cana-654	37	35	.	.	PUNCT
cana-654	38	1	in	in	ADP
cana-654	38	2	this	this	DET
cana-654	38	3	study	study	NOUN
cana-654	38	4	,	,	PUNCT
cana-654	38	5	we	we	PRON
cana-654	38	6	suggest	suggest	VERB
cana-654	38	7	a	a	DET
cana-654	38	8	new	new	ADJ
cana-654	38	9	way	way	NOUN
cana-654	38	10	to	to	PART
cana-654	38	11	use	use	VERB
cana-654	38	12	gated	gate	VERB
cana-654	38	13	recurrent	recurrent	ADJ
cana-654	38	14	units	unit	NOUN
cana-654	38	15	(	(	PUNCT
cana-654	38	16	grus	grus	NOUN
cana-654	38	17	)	)	PUNCT
cana-654	38	18	,	,	PUNCT
cana-654	38	19	a	a	DET
cana-654	38	20	type	type	NOUN
cana-654	38	21	of	of	ADP
cana-654	38	22	recurrent	recurrent	ADJ
cana-654	38	23	neural	neural	ADJ
cana-654	38	24	network	network	NOUN
cana-654	38	25	(	(	PUNCT
cana-654	38	26	rnn	rnn	PROPN
cana-654	38	27	)	)	PUNCT
cana-654	38	28	,	,	PUNCT
cana-654	38	29	to	to	PART
cana-654	38	30	predict	predict	VERB
cana-654	38	31	how	how	SCONJ
cana-654	38	32	aavs	aavs	NOUN
cana-654	38	33	will	will	AUX
cana-654	38	34	avoid	avoid	VERB
cana-654	38	35	obstacles	obstacle	NOUN
cana-654	38	36	in	in	ADP
cana-654	38	37	the	the	DET
cana-654	38	38	real	real	ADJ
cana-654	38	39	world	world	NOUN
cana-654	38	40	.	.	PUNCT
cana-654	39	1	there	there	PRON
cana-654	39	2	are	be	VERB
cana-654	39	3	several	several	ADJ
cana-654	39	4	reasons	reason	NOUN
cana-654	39	5	why	why	SCONJ
cana-654	39	6	using	use	VERB
cana-654	39	7	grus	grus	NOUN
cana-654	39	8	is	be	AUX
cana-654	39	9	better	well	ADJ
cana-654	39	10	than	than	ADP
cana-654	39	11	using	use	VERB
cana-654	39	12	standard	standard	ADJ
cana-654	39	13	methods	method	NOUN
cana-654	39	14	.	.	PUNCT
cana-654	40	1	first	first	ADV
cana-654	40	2	,	,	PUNCT
cana-654	40	3	grus	grus	PROPN
cana-654	40	4	are	be	AUX
cana-654	40	5	great	great	ADJ
cana-654	40	6	for	for	ADP
cana-654	40	7	modeling	model	VERB
cana-654	40	8	sequential	sequential	ADJ
cana-654	40	9	data	datum	NOUN
cana-654	40	10	,	,	PUNCT
cana-654	40	11	which	which	PRON
cana-654	40	12	makes	make	VERB
cana-654	40	13	them	they	PRON
cana-654	40	14	perfect	perfect	ADJ
cana-654	40	15	for	for	ADP
cana-654	40	16	showing	show	VERB
cana-654	40	17	how	how	SCONJ
cana-654	40	18	the	the	DET
cana-654	40	19	movement	movement	NOUN
cana-654	40	20	patterns	pattern	NOUN
cana-654	40	21	of	of	ADP
cana-654	40	22	moving	move	VERB
cana-654	40	23	objects	object	NOUN
cana-654	40	24	change	change	VERB
cana-654	40	25	over	over	ADP
cana-654	40	26	time	time	NOUN
cana-654	40	27	.	.	PUNCT
cana-654	41	1	second	second	ADJ
cana-654	41	2	,	,	PUNCT
cana-654	41	3	grus	grus	PROPN
cana-654	41	4	can	can	AUX
cana-654	41	5	find	find	VERB
cana-654	41	6	complicated	complicated	ADJ
cana-654	41	7	trends	trend	NOUN
cana-654	41	8	in	in	ADP
cana-654	41	9	data	datum	NOUN
cana-654	41	10	,	,	PUNCT
cana-654	41	11	which	which	PRON
cana-654	41	12	lets	let	VERB
cana-654	41	13	them	they	PRON
cana-654	41	14	adapt	adapt	VERB
cana-654	41	15	to	to	ADP
cana-654	41	16	a	a	DET
cana-654	41	17	lot	lot	NOUN
cana-654	41	18	of	of	ADP
cana-654	41	19	different	different	ADJ
cana-654	41	20	settings	setting	NOUN
cana-654	41	21	that	that	PRON
cana-654	41	22	change	change	VERB
cana-654	41	23	quickly	quickly	ADV
cana-654	41	24	[	[	X
cana-654	41	25	2	2	NUM
cana-654	41	26	]	]	PUNCT
cana-654	41	27	.	.	PUNCT
cana-654	42	1	lastly	lastly	ADV
cana-654	42	2	,	,	PUNCT
cana-654	42	3	grus	grus	NOUN
cana-654	42	4	use	use	VERB
cana-654	42	5	little	little	ADJ
cana-654	42	6	computing	computing	NOUN
cana-654	42	7	power	power	NOUN
cana-654	42	8	,	,	PUNCT
cana-654	42	9	which	which	PRON
cana-654	42	10	makes	make	VERB
cana-654	42	11	them	they	PRON
cana-654	42	12	good	good	ADJ
cana-654	42	13	for	for	ADP
cana-654	42	14	real	real	ADJ
cana-654	42	15	-	-	PUNCT
cana-654	42	16	time	time	NOUN
cana-654	42	17	apps	app	NOUN
cana-654	42	18	that	that	PRON
cana-654	42	19	need	need	VERB
cana-654	42	20	to	to	PART
cana-654	42	21	have	have	VERB
cana-654	42	22	low	low	ADJ
cana-654	42	23	delay	delay	NOUN
cana-654	42	24	.	.	PUNCT
cana-654	43	1	this	this	DET
cana-654	43	2	paper	paper	NOUN
cana-654	43	3	gives	give	VERB
cana-654	43	4	a	a	DET
cana-654	43	5	thorough	thorough	ADJ
cana-654	43	6	look	look	NOUN
cana-654	43	7	at	at	ADP
cana-654	43	8	our	our	PRON
cana-654	43	9	method	method	NOUN
cana-654	43	10	,	,	PUNCT
cana-654	43	11	covering	cover	VERB
cana-654	43	12	the	the	DET
cana-654	43	13	creation	creation	NOUN
cana-654	43	14	of	of	ADP
cana-654	43	15	the	the	DET
cana-654	43	16	gru	gru	NOUN
cana-654	43	17	-	-	PUNCT
cana-654	43	18	based	base	VERB
cana-654	43	19	predictive	predictive	ADJ
cana-654	43	20	model	model	NOUN
cana-654	43	21	,	,	PUNCT
cana-654	43	22	the	the	DET
cana-654	43	23	preparation	preparation	NOUN
cana-654	43	24	of	of	ADP
cana-654	43	25	the	the	DET
cana-654	43	26	input	input	NOUN
cana-654	43	27	data	datum	NOUN
cana-654	43	28	,	,	PUNCT
cana-654	43	29	the	the	DET
cana-654	43	30	training	training	NOUN
cana-654	43	31	process	process	NOUN
cana-654	43	32	,	,	PUNCT
cana-654	43	33	and	and	CCONJ
cana-654	43	34	the	the	DET
cana-654	43	35	evaluation	evaluation	NOUN
cana-654	43	36	metrics	metric	NOUN
cana-654	43	37	used	use	VERB
cana-654	43	38	to	to	PART
cana-654	43	39	check	check	VERB
cana-654	43	40	how	how	SCONJ
cana-654	43	41	well	well	ADV
cana-654	43	42	the	the	DET
cana-654	43	43	model	model	NOUN
cana-654	43	44	worked	work	VERB
cana-654	43	45	.	.	PUNCT
cana-654	44	1	we	we	PRON
cana-654	44	2	also	also	ADV
cana-654	44	3	show	show	VERB
cana-654	44	4	testing	testing	NOUN
cana-654	44	5	results	result	NOUN
cana-654	44	6	that	that	PRON
cana-654	44	7	show	show	VERB
cana-654	44	8	how	how	SCONJ
cana-654	44	9	well	well	ADV
cana-654	44	10	our	our	PRON
cana-654	44	11	method	method	NOUN
cana-654	44	12	works	work	VERB
cana-654	44	13	in	in	ADP
cana-654	44	14	a	a	DET
cana-654	44	15	virtual	virtual	ADJ
cana-654	44	16	aav	aav	NOUN
cana-654	44	17	setting	set	VERB
cana-654	44	18	.	.	PUNCT
cana-654	45	1	the	the	DET
cana-654	45	2	rest	rest	NOUN
cana-654	45	3	of	of	ADP
cana-654	45	4	this	this	DET
cana-654	45	5	paper	paper	NOUN
cana-654	45	6	is	be	AUX
cana-654	45	7	organized	organize	VERB
cana-654	45	8	in	in	ADP
cana-654	45	9	this	this	DET
cana-654	45	10	way	way	NOUN
cana-654	45	11	.	.	PUNCT
cana-654	46	1	in	in	ADP
cana-654	46	2	section	section	NOUN
cana-654	46	3	2	2	NUM
cana-654	46	4	,	,	PUNCT
cana-654	46	5	we	we	PRON
cana-654	46	6	talk	talk	VERB
cana-654	46	7	about	about	ADP
cana-654	46	8	similar	similar	ADJ
cana-654	46	9	work	work	NOUN
cana-654	46	10	that	that	PRON
cana-654	46	11	has	have	AUX
cana-654	46	12	been	be	AUX
cana-654	46	13	done	do	VERB
cana-654	46	14	in	in	ADP
cana-654	46	15	the	the	DET
cana-654	46	16	area	area	NOUN
cana-654	46	17	of	of	ADP
cana-654	46	18	dynamic	dynamic	ADJ
cana-654	46	19	object	object	NOUN
cana-654	46	20	avoidance	avoidance	NOUN
cana-654	46	21	for	for	ADP
cana-654	46	22	aavs	aavs	NOUN
cana-654	46	23	.	.	PUNCT
cana-654	47	1	in	in	ADP
cana-654	47	2	section	section	NOUN
cana-654	47	3	3	3	NUM
cana-654	47	4	,	,	PUNCT
cana-654	47	5	we	we	PRON
cana-654	47	6	talk	talk	VERB
cana-654	47	7	about	about	ADP
cana-654	47	8	the	the	DET
cana-654	47	9	structure	structure	NOUN
cana-654	47	10	of	of	ADP
cana-654	47	11	our	our	PRON
cana-654	47	12	gru	gru	NOUN
cana-654	47	13	-	-	PUNCT
cana-654	47	14	based	base	VERB
cana-654	47	15	prediction	prediction	NOUN
cana-654	47	16	model	model	NOUN
cana-654	47	17	and	and	CCONJ
cana-654	47	18	the	the	DET
cana-654	47	19	steps	step	NOUN
cana-654	47	20	that	that	PRON
cana-654	47	21	were	be	AUX
cana-654	47	22	taken	take	VERB
cana-654	47	23	to	to	PART
cana-654	47	24	prepare	prepare	VERB
cana-654	47	25	the	the	DET
cana-654	47	26	raw	raw	ADJ
cana-654	47	27	data	datum	NOUN
cana-654	47	28	for	for	ADP
cana-654	47	29	it	it	PRON
cana-654	47	30	.	.	PUNCT
cana-654	48	1	in	in	ADP
cana-654	48	2	section	section	NOUN
cana-654	48	3	4	4	NUM
cana-654	48	4	,	,	PUNCT
cana-654	48	5	we	we	PRON
cana-654	48	6	talk	talk	VERB
cana-654	48	7	about	about	ADP
cana-654	48	8	the	the	DET
cana-654	48	9	training	training	NOUN
cana-654	48	10	process	process	NOUN
cana-654	48	11	and	and	CCONJ
cana-654	48	12	the	the	DET
cana-654	48	13	setting	setting	NOUN
cana-654	48	14	we	we	PRON
cana-654	48	15	used	use	VERB
cana-654	48	16	to	to	PART
cana-654	48	17	test	test	VERB
cana-654	48	18	how	how	SCONJ
cana-654	48	19	well	well	ADV
cana-654	48	20	the	the	DET
cana-654	48	21	model	model	NOUN
cana-654	48	22	worked	work	VERB
cana-654	48	23	.	.	PUNCT
cana-654	49	1	in	in	ADP
cana-654	49	2	section	section	NOUN
cana-654	49	3	5	5	NUM
cana-654	49	4	,	,	PUNCT
cana-654	49	5	we	we	PRON
cana-654	49	6	show	show	VERB
cana-654	49	7	the	the	DET
cana-654	49	8	outcomes	outcome	NOUN
cana-654	49	9	of	of	ADP
cana-654	49	10	our	our	PRON
cana-654	49	11	tests	test	NOUN
cana-654	49	12	and	and	CCONJ
cana-654	49	13	contrast	contrast	VERB
cana-654	49	14	them	they	PRON
cana-654	49	15	with	with	ADP
cana-654	49	16	the	the	DET
cana-654	49	17	standard	standard	ADJ
cana-654	49	18	methods	method	NOUN
cana-654	49	19	.	.	PUNCT
cana-654	50	1	finally	finally	ADV
cana-654	50	2	,	,	PUNCT
cana-654	50	3	section	section	NOUN
cana-654	50	4	6	6	NUM
cana-654	50	5	wraps	wrap	NOUN
cana-654	50	6	up	up	ADP
cana-654	50	7	the	the	DET
cana-654	50	8	study	study	NOUN
cana-654	50	9	with	with	ADP
cana-654	50	10	an	an	DET
cana-654	50	11	outline	outline	NOUN
cana-654	50	12	of	of	ADP
cana-654	50	13	our	our	PRON
cana-654	50	14	results	result	NOUN
cana-654	50	15	and	and	CCONJ
cana-654	50	16	suggestions	suggestion	NOUN
cana-654	50	17	for	for	ADP
cana-654	50	18	more	more	ADJ
cana-654	50	19	research	research	NOUN
cana-654	50	20	.	.	PUNCT
cana-654	51	1	2	2	X
cana-654	51	2	.	.	X
cana-654	51	3	related	relate	VERB
cana-654	51	4	work	work	NOUN
cana-654	51	5	predictive	predictive	ADJ
cana-654	51	6	modeling	modeling	NOUN
cana-654	51	7	for	for	ADP
cana-654	51	8	dynamic	dynamic	ADJ
cana-654	51	9	obstacle	obstacle	NOUN
cana-654	51	10	avoidance	avoidance	NOUN
cana-654	51	11	in	in	ADP
cana-654	51	12	autonomous	autonomous	ADJ
cana-654	51	13	aerial	aerial	ADJ
cana-654	51	14	vehicles	vehicle	NOUN
cana-654	51	15	(	(	PUNCT
cana-654	51	16	aavs	aavs	PROPN
cana-654	51	17	)	)	PUNCT
cana-654	51	18	is	be	AUX
cana-654	51	19	an	an	DET
cana-654	51	20	important	important	ADJ
cana-654	51	21	area	area	NOUN
cana-654	51	22	of	of	ADP
cana-654	51	23	study	study	NOUN
cana-654	51	24	that	that	PRON
cana-654	51	25	aims	aim	VERB
cana-654	51	26	to	to	PART
cana-654	51	27	make	make	VERB
cana-654	51	28	aav	aav	NOUN
cana-654	51	29	activities	activity	NOUN
cana-654	51	30	safer	safe	ADJ
cana-654	51	31	and	and	CCONJ
cana-654	51	32	more	more	ADV
cana-654	51	33	efficient	efficient	ADJ
cana-654	51	34	in	in	ADP
cana-654	51	35	complex	complex	ADJ
cana-654	51	36	settings	setting	NOUN
cana-654	51	37	.	.	PUNCT
cana-654	52	1	several	several	ADJ
cana-654	52	2	similar	similar	ADJ
cana-654	52	3	works	work	NOUN
cana-654	52	4	have	have	AUX
cana-654	52	5	looked	look	VERB
cana-654	52	6	at	at	ADP
cana-654	52	7	different	different	ADJ
cana-654	52	8	ways	way	NOUN
cana-654	52	9	to	to	PART
cana-654	52	10	solve	solve	VERB
cana-654	52	11	this	this	DET
cana-654	52	12	problem	problem	NOUN
cana-654	52	13	by	by	ADP
cana-654	52	14	using	use	VERB
cana-654	52	15	predictive	predictive	ADJ
cana-654	52	16	modeling	modeling	NOUN
cana-654	52	17	to	to	PART
cana-654	52	18	successfully	successfully	ADV
cana-654	52	19	predict	predict	VERB
cana-654	52	20	and	and	CCONJ
cana-654	52	21	avoid	avoid	VERB
cana-654	52	22	moving	move	VERB
cana-654	52	23	objects	object	NOUN
cana-654	52	24	.	.	PUNCT
cana-654	53	1	this	this	DET
cana-654	53	2	part	part	NOUN
cana-654	53	3	talks	talk	VERB
cana-654	53	4	about	about	ADP
cana-654	53	5	the	the	DET
cana-654	53	6	most	most	ADV
cana-654	53	7	important	important	ADJ
cana-654	53	8	study	study	NOUN
cana-654	53	9	efforts	effort	NOUN
cana-654	53	10	in	in	ADP
cana-654	53	11	this	this	DET
cana-654	53	12	area	area	NOUN
cana-654	53	13	,	,	PUNCT
cana-654	53	14	focusing	focus	VERB
cana-654	53	15	on	on	ADP
cana-654	53	16	their	their	PRON
cana-654	53	17	methods	method	NOUN
cana-654	53	18	,	,	PUNCT
cana-654	53	19	main	main	ADJ
cana-654	53	20	results	result	NOUN
cana-654	53	21	,	,	PUNCT
cana-654	53	22	and	and	CCONJ
cana-654	53	23	limits	limit	NOUN
cana-654	53	24	.	.	PUNCT
cana-654	54	1	one	one	NUM
cana-654	54	2	way	way	NOUN
cana-654	54	3	to	to	PART
cana-654	54	4	use	use	VERB
cana-654	54	5	predictive	predictive	ADJ
cana-654	54	6	modeling	modeling	NOUN
cana-654	54	7	to	to	PART
cana-654	54	8	help	help	VERB
cana-654	54	9	aavs	aavs	ADV
cana-654	54	10	avoid	avoid	VERB
cana-654	54	11	moving	move	VERB
cana-654	54	12	objects	object	NOUN
cana-654	54	13	is	be	AUX
cana-654	54	14	to	to	PART
cana-654	54	15	guess	guess	VERB
cana-654	54	16	their	their	PRON
cana-654	54	17	paths	path	NOUN
cana-654	54	18	based	base	VERB
cana-654	54	19	on	on	ADP
cana-654	54	20	how	how	SCONJ
cana-654	54	21	the	the	DET
cana-654	54	22	obstacles	obstacle	NOUN
cana-654	54	23	are	be	AUX
cana-654	54	24	moving	move	VERB
cana-654	54	25	.	.	PUNCT
cana-654	55	1	for	for	ADP
cana-654	55	2	instance	instance	NOUN
cana-654	55	3	,	,	PUNCT
cana-654	55	4	[	[	X
cana-654	55	5	10]suggested	10]suggeste	VERB
cana-654	55	6	a	a	DET
cana-654	55	7	way	way	NOUN
cana-654	55	8	to	to	PART
cana-654	55	9	use	use	VERB
cana-654	55	10	a	a	DET
cana-654	55	11	long	long	ADJ
cana-654	55	12	short	short	ADJ
cana-654	55	13	-	-	PUNCT
cana-654	55	14	term	term	NOUN
cana-654	55	15	memory	memory	NOUN
cana-654	55	16	(	(	PUNCT
cana-654	55	17	lstm	lstm	ADJ
cana-654	55	18	)	)	PUNCT
cana-654	55	19	neural	neural	ADJ
cana-654	55	20	network	network	NOUN
cana-654	55	21	to	to	PART
cana-654	55	22	guess	guess	VERB
cana-654	55	23	communications	communication	NOUN
cana-654	55	24	on	on	ADP
cana-654	55	25	applied	apply	VERB
cana-654	55	26	nonlinear	nonlinear	ADJ
cana-654	55	27	analysis	analysis	NOUN
cana-654	55	28	issn	issn	NOUN
cana-654	55	29	:	:	PUNCT
cana-654	55	30	1074	1074	NUM
cana-654	55	31	-	-	PUNCT
cana-654	55	32	133x	133x	NUM
cana-654	55	33	vol	vol	NOUN
cana-654	55	34	31	31	NUM
cana-654	55	35	no	no	NOUN
cana-654	55	36	.	.	PUNCT
cana-654	56	1	2s	2s	NUM
cana-654	56	2	(	(	PUNCT
cana-654	56	3	2024	2024	NUM
cana-654	56	4	)	)	PUNCT
cana-654	56	5	362	362	NUM
cana-654	56	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-654	56	7	where	where	SCONJ
cana-654	56	8	obstacles	obstacle	NOUN
cana-654	56	9	will	will	AUX
cana-654	56	10	go	go	VERB
cana-654	56	11	next	next	ADV
cana-654	56	12	based	base	VERB
cana-654	56	13	on	on	ADP
cana-654	56	14	how	how	SCONJ
cana-654	56	15	they	they	PRON
cana-654	56	16	moved	move	VERB
cana-654	56	17	in	in	ADP
cana-654	56	18	the	the	DET
cana-654	56	19	past	past	NOUN
cana-654	56	20	.	.	PUNCT
cana-654	57	1	the	the	DET
cana-654	57	2	aav	aav	NOUN
cana-654	57	3	then	then	ADV
cana-654	57	4	plans	plan	VERB
cana-654	57	5	its	its	PRON
cana-654	57	6	way	way	NOUN
cana-654	57	7	so	so	SCONJ
cana-654	57	8	that	that	SCONJ
cana-654	57	9	it	it	PRON
cana-654	57	10	does	do	AUX
cana-654	57	11	n't	not	PART
cana-654	57	12	run	run	VERB
cana-654	57	13	into	into	ADP
cana-654	57	14	anything	anything	PRON
cana-654	57	15	else	else	ADV
cana-654	57	16	.	.	PUNCT
cana-654	58	1	this	this	DET
cana-654	58	2	method	method	NOUN
cana-654	58	3	seems	seem	VERB
cana-654	58	4	to	to	PART
cana-654	58	5	work	work	VERB
cana-654	58	6	well	well	ADV
cana-654	58	7	in	in	ADP
cana-654	58	8	models	model	NOUN
cana-654	58	9	,	,	PUNCT
cana-654	58	10	but	but	CCONJ
cana-654	58	11	it	it	PRON
cana-654	58	12	needs	need	VERB
cana-654	58	13	to	to	PART
cana-654	58	14	be	be	AUX
cana-654	58	15	fully	fully	ADV
cana-654	58	16	tested	test	VERB
cana-654	58	17	to	to	PART
cana-654	58	18	see	see	VERB
cana-654	58	19	if	if	SCONJ
cana-654	58	20	it	it	PRON
cana-654	58	21	works	work	VERB
cana-654	58	22	in	in	ADP
cana-654	58	23	real	real	ADJ
cana-654	58	24	life	life	NOUN
cana-654	58	25	with	with	ADP
cana-654	58	26	uncertain	uncertain	ADJ
cana-654	58	27	and	and	CCONJ
cana-654	58	28	complicated	complicated	ADJ
cana-654	58	29	hurdles	hurdle	NOUN
cana-654	58	30	[	[	X
cana-654	58	31	11	11	NUM
cana-654	58	32	]	]	PUNCT
cana-654	58	33	.	.	PUNCT
cana-654	59	1	another	another	DET
cana-654	59	2	method	method	NOUN
cana-654	59	3	uses	use	VERB
cana-654	59	4	probability	probability	NOUN
cana-654	59	5	models	model	NOUN
cana-654	59	6	to	to	PART
cana-654	59	7	predict	predict	VERB
cana-654	59	8	where	where	SCONJ
cana-654	59	9	moving	move	VERB
cana-654	59	10	objects	object	NOUN
cana-654	59	11	will	will	AUX
cana-654	59	12	be	be	AUX
cana-654	59	13	in	in	ADP
cana-654	59	14	the	the	DET
cana-654	59	15	future	future	NOUN
cana-654	59	16	.	.	PUNCT
cana-654	60	1	[	[	X
cana-654	60	2	12	12	NUM
cana-654	60	3	]	]	PUNCT
cana-654	60	4	for	for	ADP
cana-654	60	5	example	example	NOUN
cana-654	60	6	,	,	PUNCT
cana-654	60	7	suggested	suggest	VERB
cana-654	60	8	a	a	DET
cana-654	60	9	way	way	NOUN
cana-654	60	10	to	to	PART
cana-654	60	11	figure	figure	VERB
cana-654	60	12	out	out	ADP
cana-654	60	13	where	where	SCONJ
cana-654	60	14	dynamic	dynamic	ADJ
cana-654	60	15	hurdles	hurdle	NOUN
cana-654	60	16	will	will	AUX
cana-654	60	17	be	be	AUX
cana-654	60	18	in	in	ADP
cana-654	60	19	the	the	DET
cana-654	60	20	future	future	NOUN
cana-654	60	21	by	by	ADP
cana-654	60	22	combining	combine	VERB
cana-654	60	23	a	a	DET
cana-654	60	24	kalman	kalman	NOUN
cana-654	60	25	filter	filter	NOUN
cana-654	60	26	with	with	ADP
cana-654	60	27	a	a	DET
cana-654	60	28	bayesian	bayesian	NOUN
cana-654	60	29	network	network	NOUN
cana-654	60	30	.	.	PUNCT
cana-654	61	1	the	the	DET
cana-654	61	2	aav	aav	NOUN
cana-654	61	3	plans	plan	VERB
cana-654	61	4	its	its	PRON
cana-654	61	5	path	path	NOUN
cana-654	61	6	based	base	VERB
cana-654	61	7	on	on	ADP
cana-654	61	8	these	these	DET
cana-654	61	9	figures	figure	NOUN
cana-654	61	10	,	,	PUNCT
cana-654	61	11	taking	take	VERB
cana-654	61	12	into	into	ADP
cana-654	61	13	account	account	NOUN
cana-654	61	14	the	the	DET
cana-654	61	15	errors	error	NOUN
cana-654	61	16	in	in	ADP
cana-654	61	17	the	the	DET
cana-654	61	18	calculations	calculation	NOUN
cana-654	61	19	.	.	PUNCT
cana-654	62	1	there	there	PRON
cana-654	62	2	is	be	VERB
cana-654	62	3	better	well	ADJ
cana-654	62	4	success	success	NOUN
cana-654	62	5	with	with	ADP
cana-654	62	6	this	this	DET
cana-654	62	7	method	method	NOUN
cana-654	62	8	in	in	ADP
cana-654	62	9	avoiding	avoid	VERB
cana-654	62	10	obstacles	obstacle	NOUN
cana-654	62	11	than	than	ADP
cana-654	62	12	with	with	ADP
cana-654	62	13	fixed	fix	VERB
cana-654	62	14	techniques	technique	NOUN
cana-654	62	15	.	.	PUNCT
cana-654	63	1	but	but	CCONJ
cana-654	63	2	it	it	PRON
cana-654	63	3	depends	depend	VERB
cana-654	63	4	on	on	ADP
cana-654	63	5	being	be	AUX
cana-654	63	6	able	able	ADJ
cana-654	63	7	to	to	PART
cana-654	63	8	accurately	accurately	ADV
cana-654	63	9	guess	guess	VERB
cana-654	63	10	how	how	SCONJ
cana-654	63	11	obstacles	obstacle	NOUN
cana-654	63	12	will	will	AUX
cana-654	63	13	move	move	VERB
cana-654	63	14	,	,	PUNCT
cana-654	63	15	and	and	CCONJ
cana-654	63	16	it	it	PRON
cana-654	63	17	might	might	AUX
cana-654	63	18	not	not	PART
cana-654	63	19	work	work	VERB
cana-654	63	20	well	well	ADV
cana-654	63	21	in	in	ADP
cana-654	63	22	settings	setting	NOUN
cana-654	63	23	with	with	ADP
cana-654	63	24	a	a	DET
cana-654	63	25	lot	lot	NOUN
cana-654	63	26	of	of	ADP
cana-654	63	27	movement	movement	NOUN
cana-654	63	28	.	.	PUNCT
cana-654	64	1	some	some	DET
cana-654	64	2	studies	study	NOUN
cana-654	64	3	have	have	AUX
cana-654	64	4	also	also	ADV
cana-654	64	5	looked	look	VERB
cana-654	64	6	at	at	ADP
cana-654	64	7	how	how	SCONJ
cana-654	64	8	reinforcement	reinforcement	NOUN
cana-654	64	9	learning	learning	NOUN
cana-654	64	10	(	(	PUNCT
cana-654	64	11	rl	rl	NOUN
cana-654	64	12	)	)	PUNCT
cana-654	64	13	can	can	AUX
cana-654	64	14	be	be	AUX
cana-654	64	15	used	use	VERB
cana-654	64	16	for	for	ADP
cana-654	64	17	dynamic	dynamic	ADJ
cana-654	64	18	obstacle	obstacle	NOUN
cana-654	64	19	avoidance	avoidance	NOUN
cana-654	64	20	in	in	ADP
cana-654	64	21	addition	addition	NOUN
cana-654	64	22	to	to	ADP
cana-654	64	23	predicting	predict	VERB
cana-654	64	24	the	the	DET
cana-654	64	25	path	path	NOUN
cana-654	64	26	.	.	PUNCT
cana-654	65	1	[	[	X
cana-654	65	2	13	13	NUM
cana-654	65	3	]	]	PUNCT
cana-654	65	4	for	for	ADP
cana-654	65	5	example	example	NOUN
cana-654	65	6	,	,	PUNCT
cana-654	65	7	suggested	suggest	VERB
cana-654	65	8	a	a	DET
cana-654	65	9	deep	deep	ADJ
cana-654	65	10	q	q	NOUN
cana-654	65	11	-	-	NOUN
cana-654	65	12	network	network	NOUN
cana-654	65	13	(	(	PUNCT
cana-654	65	14	dqn)-based	dqn)-base	VERB
cana-654	65	15	rl	rl	PROPN
cana-654	65	16	method	method	NOUN
cana-654	65	17	in	in	ADP
cana-654	65	18	which	which	PRON
cana-654	65	19	the	the	DET
cana-654	65	20	aav	aav	NOUN
cana-654	65	21	learns	learn	VERB
cana-654	65	22	to	to	PART
cana-654	65	23	move	move	VERB
cana-654	65	24	through	through	ADP
cana-654	65	25	a	a	DET
cana-654	65	26	virtual	virtual	ADJ
cana-654	65	27	world	world	NOUN
cana-654	65	28	with	with	ADP
cana-654	65	29	moving	move	VERB
cana-654	65	30	objects	object	NOUN
cana-654	65	31	by	by	ADP
cana-654	65	32	maximizing	maximize	VERB
cana-654	65	33	a	a	DET
cana-654	65	34	reward	reward	NOUN
cana-654	65	35	function	function	NOUN
cana-654	65	36	that	that	PRON
cana-654	65	37	punishes	punish	VERB
cana-654	65	38	crashes	crash	NOUN
cana-654	65	39	.	.	PUNCT
cana-654	66	1	the	the	DET
cana-654	66	2	training	training	NOUN
cana-654	66	3	model	model	NOUN
cana-654	66	4	does	do	VERB
cana-654	66	5	well	well	ADV
cana-654	66	6	in	in	ADP
cana-654	66	7	simulations	simulation	NOUN
cana-654	66	8	,	,	PUNCT
cana-654	66	9	but	but	CCONJ
cana-654	66	10	more	more	ADJ
cana-654	66	11	research	research	NOUN
cana-654	66	12	needs	need	VERB
cana-654	66	13	to	to	PART
cana-654	66	14	be	be	AUX
cana-654	66	15	done	do	VERB
cana-654	66	16	on	on	ADP
cana-654	66	17	how	how	SCONJ
cana-654	66	18	it	it	PRON
cana-654	66	19	works	work	VERB
cana-654	66	20	in	in	ADP
cana-654	66	21	real	real	ADJ
cana-654	66	22	life	life	NOUN
cana-654	66	23	,	,	PUNCT
cana-654	66	24	especially	especially	ADV
cana-654	66	25	on	on	ADP
cana-654	66	26	how	how	SCONJ
cana-654	66	27	well	well	ADV
cana-654	66	28	it	it	PRON
cana-654	66	29	adapts	adapt	VERB
cana-654	66	30	to	to	ADP
cana-654	66	31	settings	setting	NOUN
cana-654	66	32	that	that	PRON
cana-654	66	33	have	have	AUX
cana-654	66	34	n't	not	PART
cana-654	66	35	been	be	AUX
cana-654	66	36	seen	see	VERB
cana-654	66	37	before	before	ADV
cana-654	66	38	and	and	CCONJ
cana-654	66	39	how	how	SCONJ
cana-654	66	40	well	well	ADV
cana-654	66	41	it	it	PRON
cana-654	66	42	handles	handle	VERB
cana-654	66	43	sensor	sensor	NOUN
cana-654	66	44	noise	noise	NOUN
cana-654	66	45	.	.	PUNCT
cana-654	67	1	researchers	researcher	NOUN
cana-654	67	2	have	have	AUX
cana-654	67	3	also	also	ADV
cana-654	67	4	looked	look	VERB
cana-654	67	5	into	into	ADP
cana-654	67	6	how	how	SCONJ
cana-654	67	7	to	to	PART
cana-654	67	8	combine	combine	VERB
cana-654	67	9	multiple	multiple	ADJ
cana-654	67	10	sensors	sensor	NOUN
cana-654	67	11	to	to	PART
cana-654	67	12	better	well	ADV
cana-654	67	13	identify	identify	VERB
cana-654	67	14	and	and	CCONJ
cana-654	67	15	predict	predict	VERB
cana-654	67	16	moving	move	VERB
cana-654	67	17	obstacles	obstacle	NOUN
cana-654	67	18	.	.	PUNCT
cana-654	68	1	[	[	X
cana-654	68	2	14	14	NUM
cana-654	68	3	]	]	PUNCT
cana-654	68	4	for	for	ADP
cana-654	68	5	example	example	NOUN
cana-654	68	6	,	,	PUNCT
cana-654	68	7	suggested	suggest	VERB
cana-654	68	8	a	a	DET
cana-654	68	9	system	system	NOUN
cana-654	68	10	for	for	ADP
cana-654	68	11	sensor	sensor	NOUN
cana-654	68	12	fusion	fusion	NOUN
cana-654	68	13	that	that	PRON
cana-654	68	14	uses	use	VERB
cana-654	68	15	data	datum	NOUN
cana-654	68	16	from	from	ADP
cana-654	68	17	lidar	lidar	NOUN
cana-654	68	18	,	,	PUNCT
cana-654	68	19	camera	camera	NOUN
cana-654	68	20	,	,	PUNCT
cana-654	68	21	and	and	CCONJ
cana-654	68	22	radar	radar	NOUN
cana-654	68	23	devices	device	NOUN
cana-654	68	24	to	to	PART
cana-654	68	25	find	find	VERB
cana-654	68	26	and	and	CCONJ
cana-654	68	27	follow	follow	VERB
cana-654	68	28	moving	move	VERB
cana-654	68	29	objects	object	NOUN
cana-654	68	30	.	.	PUNCT
cana-654	69	1	the	the	DET
cana-654	69	2	aav	aav	NOUN
cana-654	69	3	then	then	ADV
cana-654	69	4	uses	use	VERB
cana-654	69	5	this	this	DET
cana-654	69	6	information	information	NOUN
cana-654	69	7	from	from	ADP
cana-654	69	8	all	all	PRON
cana-654	69	9	of	of	ADP
cana-654	69	10	its	its	PRON
cana-654	69	11	sensors	sensor	NOUN
cana-654	69	12	to	to	PART
cana-654	69	13	guess	guess	VERB
cana-654	69	14	where	where	SCONJ
cana-654	69	15	obstacles	obstacle	NOUN
cana-654	69	16	will	will	AUX
cana-654	69	17	be	be	AUX
cana-654	69	18	and	and	CCONJ
cana-654	69	19	plan	plan	VERB
cana-654	69	20	its	its	PRON
cana-654	69	21	path	path	NOUN
cana-654	69	22	accordingly	accordingly	ADV
cana-654	69	23	.	.	PUNCT
cana-654	70	1	if	if	SCONJ
cana-654	70	2	you	you	PRON
cana-654	70	3	compare	compare	VERB
cana-654	70	4	this	this	DET
cana-654	70	5	method	method	NOUN
cana-654	70	6	to	to	ADP
cana-654	70	7	using	use	VERB
cana-654	70	8	separate	separate	ADJ
cana-654	70	9	sensors	sensor	NOUN
cana-654	70	10	,	,	PUNCT
cana-654	70	11	it	it	PRON
cana-654	70	12	works	work	VERB
cana-654	70	13	better	well	ADV
cana-654	70	14	,	,	PUNCT
cana-654	70	15	but	but	CCONJ
cana-654	70	16	in	in	ADP
cana-654	70	17	real	real	ADJ
cana-654	70	18	life	life	NOUN
cana-654	70	19	,	,	PUNCT
cana-654	70	20	it	it	PRON
cana-654	70	21	might	might	AUX
cana-654	70	22	be	be	AUX
cana-654	70	23	hard	hard	ADJ
cana-654	70	24	to	to	PART
cana-654	70	25	get	get	VERB
cana-654	70	26	the	the	DET
cana-654	70	27	sensors	sensor	NOUN
cana-654	70	28	to	to	PART
cana-654	70	29	work	work	VERB
cana-654	70	30	together	together	ADV
cana-654	70	31	and	and	CCONJ
cana-654	70	32	be	be	AUX
cana-654	70	33	calibrated	calibrate	VERB
cana-654	70	34	correctly	correctly	ADV
cana-654	70	35	[	[	X
cana-654	70	36	15	15	NUM
cana-654	70	37	]	]	PUNCT
cana-654	70	38	.	.	PUNCT
cana-654	71	1	even	even	ADV
cana-654	71	2	though	though	SCONJ
cana-654	71	3	predictive	predictive	ADJ
cana-654	71	4	modeling	modeling	NOUN
cana-654	71	5	for	for	ADP
cana-654	71	6	dynamic	dynamic	ADJ
cana-654	71	7	object	object	NOUN
cana-654	71	8	avoidance	avoidance	NOUN
cana-654	71	9	in	in	ADP
cana-654	71	10	aavs	aavs	NOUN
cana-654	71	11	has	have	AUX
cana-654	71	12	come	come	VERB
cana-654	71	13	a	a	DET
cana-654	71	14	long	long	ADJ
cana-654	71	15	way	way	NOUN
cana-654	71	16	,	,	PUNCT
cana-654	71	17	there	there	PRON
cana-654	71	18	are	be	VERB
cana-654	71	19	still	still	ADV
cana-654	71	20	some	some	DET
cana-654	71	21	problems	problem	NOUN
cana-654	71	22	that	that	PRON
cana-654	71	23	need	need	VERB
cana-654	71	24	to	to	PART
cana-654	71	25	be	be	AUX
cana-654	71	26	solved	solve	VERB
cana-654	71	27	.	.	PUNCT
cana-654	72	1	one	one	NUM
cana-654	72	2	of	of	ADP
cana-654	72	3	the	the	DET
cana-654	72	4	biggest	big	ADJ
cana-654	72	5	problems	problem	NOUN
cana-654	72	6	is	be	AUX
cana-654	72	7	that	that	SCONJ
cana-654	72	8	we	we	PRON
cana-654	72	9	need	need	VERB
cana-654	72	10	strong	strong	ADJ
cana-654	72	11	and	and	CCONJ
cana-654	72	12	effective	effective	ADJ
cana-654	72	13	algorithms	algorithm	NOUN
cana-654	72	14	that	that	PRON
cana-654	72	15	can	can	AUX
cana-654	72	16	work	work	VERB
cana-654	72	17	in	in	ADP
cana-654	72	18	real	real	ADJ
cana-654	72	19	-	-	PUNCT
cana-654	72	20	world	world	NOUN
cana-654	72	21	settings	setting	NOUN
cana-654	72	22	that	that	PRON
cana-654	72	23	are	be	AUX
cana-654	72	24	complicated	complicated	ADJ
cana-654	72	25	and	and	CCONJ
cana-654	72	26	have	have	AUX
cana-654	72	27	moving	move	VERB
cana-654	72	28	objects	object	NOUN
cana-654	72	29	that	that	PRON
cana-654	72	30	move	move	VERB
cana-654	72	31	in	in	ADP
cana-654	72	32	unpredictable	unpredictable	ADJ
cana-654	72	33	ways	way	NOUN
cana-654	72	34	[	[	X
cana-654	72	35	16	16	NUM
cana-654	72	36	]	]	PUNCT
cana-654	72	37	.	.	PUNCT
cana-654	73	1	to	to	PART
cana-654	73	2	make	make	VERB
cana-654	73	3	sure	sure	ADJ
cana-654	73	4	aav	aav	NOUN
cana-654	73	5	processes	process	NOUN
cana-654	73	6	are	be	AUX
cana-654	73	7	safe	safe	ADJ
cana-654	73	8	and	and	CCONJ
cana-654	73	9	effective	effective	ADJ
cana-654	73	10	,	,	PUNCT
cana-654	73	11	it	it	PRON
cana-654	73	12	is	be	AUX
cana-654	73	13	also	also	ADV
cana-654	73	14	important	important	ADJ
cana-654	73	15	to	to	PART
cana-654	73	16	combine	combine	VERB
cana-654	73	17	predictive	predictive	ADJ
cana-654	73	18	models	model	NOUN
cana-654	73	19	with	with	ADP
cana-654	73	20	real	real	ADJ
cana-654	73	21	-	-	PUNCT
cana-654	73	22	time	time	NOUN
cana-654	73	23	decision	decision	NOUN
cana-654	73	24	-	-	PUNCT
cana-654	73	25	making	make	VERB
cana-654	73	26	tools	tool	NOUN
cana-654	73	27	.	.	PUNCT
cana-654	74	1	predictive	predictive	ADJ
cana-654	74	2	modeling	modeling	NOUN
cana-654	74	3	is	be	AUX
cana-654	74	4	a	a	DET
cana-654	74	5	very	very	ADV
cana-654	74	6	important	important	ADJ
cana-654	74	7	part	part	NOUN
cana-654	74	8	of	of	ADP
cana-654	74	9	making	make	VERB
cana-654	74	10	dynamic	dynamic	ADJ
cana-654	74	11	object	object	NOUN
cana-654	74	12	avoidance	avoidance	NOUN
cana-654	74	13	better	well	ADV
cana-654	74	14	in	in	ADP
cana-654	74	15	unmanned	unmanned	ADJ
cana-654	74	16	aerial	aerial	ADJ
cana-654	74	17	vehicles	vehicle	NOUN
cana-654	74	18	.	.	PUNCT
cana-654	75	1	existing	exist	VERB
cana-654	75	2	study	study	NOUN
cana-654	75	3	has	have	AUX
cana-654	75	4	made	make	VERB
cana-654	75	5	a	a	DET
cana-654	75	6	lot	lot	NOUN
cana-654	75	7	of	of	ADP
cana-654	75	8	success	success	NOUN
cana-654	75	9	in	in	ADP
cana-654	75	10	this	this	DET
cana-654	75	11	area	area	NOUN
cana-654	75	12	,	,	PUNCT
cana-654	75	13	but	but	CCONJ
cana-654	75	14	more	more	ADJ
cana-654	75	15	needs	need	NOUN
cana-654	75	16	to	to	PART
cana-654	75	17	be	be	AUX
cana-654	75	18	done	do	VERB
cana-654	75	19	to	to	PART
cana-654	75	20	solve	solve	VERB
cana-654	75	21	the	the	DET
cana-654	75	22	problems	problem	NOUN
cana-654	75	23	that	that	PRON
cana-654	75	24	come	come	VERB
cana-654	75	25	up	up	ADP
cana-654	75	26	when	when	SCONJ
cana-654	75	27	it	it	PRON
cana-654	75	28	is	be	AUX
cana-654	75	29	used	use	VERB
cana-654	75	30	in	in	ADP
cana-654	75	31	the	the	DET
cana-654	75	32	real	real	ADJ
cana-654	75	33	world	world	NOUN
cana-654	75	34	.	.	PUNCT
cana-654	76	1	in	in	ADP
cana-654	76	2	the	the	DET
cana-654	76	3	future	future	NOUN
cana-654	76	4	,	,	PUNCT
cana-654	76	5	researchers	researcher	NOUN
cana-654	76	6	may	may	AUX
cana-654	76	7	work	work	VERB
cana-654	76	8	on	on	ADP
cana-654	76	9	making	make	VERB
cana-654	76	10	prediction	prediction	NOUN
cana-654	76	11	models	model	NOUN
cana-654	76	12	that	that	PRON
cana-654	76	13	are	be	AUX
cana-654	76	14	more	more	ADV
cana-654	76	15	accurate	accurate	ADJ
cana-654	76	16	,	,	PUNCT
cana-654	76	17	adding	add	VERB
cana-654	76	18	more	more	ADJ
cana-654	76	19	sensors	sensor	NOUN
cana-654	76	20	to	to	PART
cana-654	76	21	make	make	VERB
cana-654	76	22	it	it	PRON
cana-654	76	23	easier	easy	ADJ
cana-654	76	24	to	to	PART
cana-654	76	25	find	find	VERB
cana-654	76	26	and	and	CCONJ
cana-654	76	27	follow	follow	VERB
cana-654	76	28	obstacles	obstacle	NOUN
cana-654	76	29	,	,	PUNCT
cana-654	76	30	and	and	CCONJ
cana-654	76	31	testing	test	VERB
cana-654	76	32	new	new	ADJ
cana-654	76	33	ideas	idea	NOUN
cana-654	76	34	in	in	ADP
cana-654	76	35	real	real	ADJ
cana-654	76	36	-	-	PUNCT
cana-654	76	37	life	life	NOUN
cana-654	76	38	situations	situation	NOUN
cana-654	76	39	.	.	PUNCT
cana-654	77	1	table	table	NOUN
cana-654	77	2	1	1	NUM
cana-654	77	3	:	:	PUNCT
cana-654	77	4	summary	summary	NOUN
cana-654	77	5	of	of	ADP
cana-654	77	6	related	related	ADJ
cana-654	77	7	work	work	NOUN
cana-654	77	8	related	relate	VERB
cana-654	77	9	work	work	NOUN
cana-654	77	10	objectives	objective	NOUN
cana-654	77	11	benefits	benefit	NOUN
cana-654	77	12	impact	impact	VERB
cana-654	77	13	key	key	ADJ
cana-654	77	14	findings	finding	NOUN
cana-654	77	15	traditional	traditional	ADJ
cana-654	77	16	rulebased	rulebase	VERB
cana-654	77	17	approaches	approach	NOUN
cana-654	77	18	[	[	X
cana-654	77	19	18	18	NUM
cana-654	77	20	]	]	PUNCT
cana-654	77	21	define	define	VERB
cana-654	77	22	rules	rule	NOUN
cana-654	77	23	for	for	ADP
cana-654	77	24	aavs	aavs	NOUN
cana-654	77	25	to	to	PART
cana-654	77	26	avoid	avoid	VERB
cana-654	77	27	obstacles	obstacle	NOUN
cana-654	77	28	simple	simple	ADJ
cana-654	77	29	to	to	PART
cana-654	77	30	implement	implement	VERB
cana-654	77	31	limited	limited	ADJ
cana-654	77	32	adaptability	adaptability	NOUN
cana-654	77	33	to	to	ADP
cana-654	77	34	complex	complex	ADJ
cana-654	77	35	environments	environment	NOUN
cana-654	77	36	rule	rule	NOUN
cana-654	77	37	-	-	PUNCT
cana-654	77	38	based	base	VERB
cana-654	77	39	approaches	approach	NOUN
cana-654	77	40	struggle	struggle	VERB
cana-654	77	41	in	in	ADP
cana-654	77	42	rapidly	rapidly	ADV
cana-654	77	43	changing	change	VERB
cana-654	77	44	environments	environment	NOUN
cana-654	77	45	machine	machine	NOUN
cana-654	77	46	learning	learn	VERB
cana-654	77	47	techniques	technique	NOUN
cana-654	77	48	utilize	utilize	VERB
cana-654	77	49	machine	machine	NOUN
cana-654	77	50	learning	learn	VERB
cana-654	77	51	algorithms	algorithm	NOUN
cana-654	77	52	for	for	ADP
cana-654	77	53	obstacle	obstacle	NOUN
cana-654	77	54	avoidance	avoidance	NOUN
cana-654	78	1	[	[	X
cana-654	78	2	3	3	NUM
cana-654	78	3	]	]	PUNCT
cana-654	78	4	can	can	AUX
cana-654	78	5	adapt	adapt	VERB
cana-654	78	6	to	to	ADP
cana-654	78	7	changing	change	VERB
cana-654	78	8	environments	environment	NOUN
cana-654	78	9	improve	improve	VERB
cana-654	78	10	collision	collision	NOUN
cana-654	78	11	avoidance	avoidance	NOUN
cana-654	78	12	performance	performance	NOUN
cana-654	78	13	machine	machine	NOUN
cana-654	78	14	learning	learn	VERB
cana-654	78	15	techniques	technique	NOUN
cana-654	78	16	,	,	PUNCT
cana-654	78	17	such	such	ADJ
cana-654	78	18	as	as	ADP
cana-654	78	19	neural	neural	ADJ
cana-654	78	20	networks	network	NOUN
cana-654	78	21	,	,	PUNCT
cana-654	78	22	can	can	AUX
cana-654	78	23	improve	improve	VERB
cana-654	78	24	aav	aav	NOUN
cana-654	78	25	navigation	navigation	NOUN
cana-654	78	26	deep	deep	ADJ
cana-654	78	27	learning	learning	NOUN
cana-654	78	28	approaches	approach	NOUN
cana-654	78	29	[	[	X
cana-654	78	30	19	19	NUM
cana-654	78	31	]	]	PUNCT
cana-654	78	32	use	use	NOUN
cana-654	78	33	deep	deep	ADJ
cana-654	78	34	learning	learning	NOUN
cana-654	78	35	algorithms	algorithm	NOUN
cana-654	78	36	for	for	ADP
cana-654	78	37	can	can	AUX
cana-654	78	38	learn	learn	VERB
cana-654	78	39	complex	complex	ADJ
cana-654	78	40	patterns	pattern	NOUN
cana-654	78	41	improve	improve	VERB
cana-654	78	42	prediction	prediction	NOUN
cana-654	78	43	accuracy	accuracy	NOUN
cana-654	78	44	deep	deep	ADJ
cana-654	78	45	learning	learning	NOUN
cana-654	78	46	models	model	NOUN
cana-654	78	47	,	,	PUNCT
cana-654	78	48	such	such	ADJ
cana-654	78	49	as	as	ADP
cana-654	78	50	cnns	cnn	NOUN
cana-654	78	51	and	and	CCONJ
cana-654	78	52	rnns	rnn	NOUN
cana-654	78	53	,	,	PUNCT
cana-654	78	54	communications	communication	NOUN
cana-654	78	55	on	on	ADP
cana-654	78	56	applied	apply	VERB
cana-654	78	57	nonlinear	nonlinear	ADJ
cana-654	78	58	analysis	analysis	NOUN
cana-654	78	59	issn	issn	NOUN
cana-654	78	60	:	:	PUNCT
cana-654	78	61	1074	1074	NUM
cana-654	78	62	-	-	PUNCT
cana-654	78	63	133x	133x	NUM
cana-654	78	64	vol	vol	NOUN
cana-654	78	65	31	31	NUM
cana-654	78	66	no	no	NOUN
cana-654	78	67	.	.	PUNCT
cana-654	79	1	2s	2s	NUM
cana-654	79	2	(	(	PUNCT
cana-654	79	3	2024	2024	NUM
cana-654	79	4	)	)	PUNCT
cana-654	79	5	363	363	NUM
cana-654	79	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-654	79	7	obstacle	obstacle	NOUN
cana-654	79	8	prediction	prediction	NOUN
cana-654	79	9	and	and	CCONJ
cana-654	79	10	avoidance	avoidance	NOUN
cana-654	79	11	in	in	ADP
cana-654	79	12	obstacle	obstacle	NOUN
cana-654	79	13	movement	movement	NOUN
cana-654	79	14	show	show	VERB
cana-654	79	15	promise	promise	NOUN
cana-654	79	16	in	in	ADP
cana-654	79	17	obstacle	obstacle	NOUN
cana-654	79	18	avoidance	avoidance	NOUN
cana-654	79	19	simultaneous	simultaneous	ADJ
cana-654	79	20	localization	localization	NOUN
cana-654	79	21	and	and	CCONJ
cana-654	79	22	mapping	mapping	NOUN
cana-654	79	23	(	(	PUNCT
cana-654	79	24	slam	slam	NOUN
cana-654	79	25	)	)	PUNCT
cana-654	80	1	[	[	X
cana-654	80	2	20	20	NUM
cana-654	80	3	]	]	PUNCT
cana-654	80	4	use	use	VERB
cana-654	80	5	slam	slam	NOUN
cana-654	80	6	techniques	technique	NOUN
cana-654	80	7	to	to	PART
cana-654	80	8	map	map	VERB
cana-654	80	9	and	and	CCONJ
cana-654	80	10	navigate	navigate	VERB
cana-654	80	11	through	through	ADP
cana-654	80	12	environments	environment	NOUN
cana-654	80	13	provide	provide	VERB
cana-654	80	14	accurate	accurate	ADJ
cana-654	80	15	localization	localization	NOUN
cana-654	80	16	information	information	NOUN
cana-654	80	17	improve	improve	VERB
cana-654	80	18	navigation	navigation	NOUN
cana-654	80	19	in	in	ADP
cana-654	80	20	unknown	unknown	ADJ
cana-654	80	21	environments	environment	NOUN
cana-654	80	22	slam	slam	NOUN
cana-654	80	23	techniques	technique	NOUN
cana-654	80	24	can	can	AUX
cana-654	80	25	enhance	enhance	VERB
cana-654	80	26	aav	aav	NOUN
cana-654	80	27	navigation	navigation	NOUN
cana-654	80	28	in	in	ADP
cana-654	80	29	complex	complex	ADJ
cana-654	80	30	environments	environment	NOUN
cana-654	80	31	sensor	sensor	NOUN
cana-654	80	32	fusion	fusion	NOUN
cana-654	80	33	techniques	technique	NOUN
cana-654	80	34	fuse	fuse	NOUN
cana-654	80	35	data	datum	NOUN
cana-654	80	36	from	from	ADP
cana-654	80	37	multiple	multiple	ADJ
cana-654	80	38	sensors	sensor	NOUN
cana-654	80	39	for	for	ADP
cana-654	80	40	obstacle	obstacle	NOUN
cana-654	80	41	detection	detection	NOUN
cana-654	80	42	and	and	CCONJ
cana-654	80	43	tracking	tracking	NOUN
cana-654	80	44	improve	improve	VERB
cana-654	80	45	accuracy	accuracy	NOUN
cana-654	80	46	of	of	ADP
cana-654	80	47	obstacle	obstacle	NOUN
cana-654	80	48	detection	detection	NOUN
cana-654	80	49	[	[	X
cana-654	80	50	4	4	X
cana-654	80	51	]	]	PUNCT
cana-654	80	52	enhance	enhance	VERB
cana-654	80	53	situational	situational	ADJ
cana-654	80	54	awareness	awareness	NOUN
cana-654	80	55	sensor	sensor	NOUN
cana-654	80	56	fusion	fusion	NOUN
cana-654	80	57	techniques	technique	NOUN
cana-654	80	58	can	can	AUX
cana-654	80	59	improve	improve	VERB
cana-654	80	60	obstacle	obstacle	NOUN
cana-654	80	61	detection	detection	NOUN
cana-654	80	62	and	and	CCONJ
cana-654	80	63	tracking	tracking	NOUN
cana-654	80	64	in	in	ADP
cana-654	80	65	aavs	aavs	PROPN
cana-654	80	66	reinforcement	reinforcement	NOUN
cana-654	80	67	learning	learning	NOUN
cana-654	81	1	[	[	X
cana-654	81	2	21	21	NUM
cana-654	81	3	]	]	PUNCT
cana-654	81	4	use	use	VERB
cana-654	81	5	reinforcement	reinforcement	NOUN
cana-654	81	6	learning	learning	NOUN
cana-654	81	7	for	for	ADP
cana-654	81	8	aav	aav	PROPN
cana-654	81	9	navigation	navigation	NOUN
cana-654	81	10	and	and	CCONJ
cana-654	81	11	obstacle	obstacle	NOUN
cana-654	81	12	avoidance	avoidance	NOUN
cana-654	81	13	can	can	AUX
cana-654	81	14	learn	learn	VERB
cana-654	81	15	optimal	optimal	ADJ
cana-654	81	16	policies	policy	NOUN
cana-654	81	17	for	for	ADP
cana-654	81	18	obstacle	obstacle	NOUN
cana-654	81	19	avoidance	avoidance	NOUN
cana-654	81	20	improve	improve	VERB
cana-654	81	21	aav	aav	NOUN
cana-654	81	22	navigation	navigation	NOUN
cana-654	81	23	in	in	ADP
cana-654	81	24	dynamic	dynamic	ADJ
cana-654	81	25	environments	environment	NOUN
cana-654	81	26	reinforcement	reinforcement	NOUN
cana-654	81	27	learning	learning	NOUN
cana-654	81	28	can	can	AUX
cana-654	81	29	enhance	enhance	VERB
cana-654	81	30	aav	aav	NOUN
cana-654	81	31	navigation	navigation	NOUN
cana-654	81	32	in	in	ADP
cana-654	81	33	complex	complex	ADJ
cana-654	81	34	scenarios	scenario	NOUN
cana-654	81	35	real	real	ADJ
cana-654	81	36	-	-	PUNCT
cana-654	81	37	time	time	NOUN
cana-654	81	38	obstacle	obstacle	NOUN
cana-654	81	39	detection	detection	NOUN
cana-654	81	40	systems	system	NOUN
cana-654	81	41	[	[	X
cana-654	81	42	22	22	NUM
cana-654	81	43	]	]	PUNCT
cana-654	81	44	develop	develop	VERB
cana-654	81	45	real	real	ADJ
cana-654	81	46	-	-	PUNCT
cana-654	81	47	time	time	NOUN
cana-654	81	48	systems	system	NOUN
cana-654	81	49	for	for	ADP
cana-654	81	50	detecting	detect	VERB
cana-654	81	51	obstacles	obstacle	NOUN
cana-654	81	52	in	in	ADP
cana-654	81	53	aavs	aavs	PROPN
cana-654	81	54	'	'	PART
cana-654	81	55	path	path	NOUN
cana-654	81	56	provide	provide	VERB
cana-654	81	57	timely	timely	ADJ
cana-654	81	58	information	information	NOUN
cana-654	81	59	for	for	ADP
cana-654	81	60	obstacle	obstacle	NOUN
cana-654	81	61	avoidance	avoidance	NOUN
cana-654	81	62	improve	improve	VERB
cana-654	81	63	reaction	reaction	NOUN
cana-654	81	64	time	time	NOUN
cana-654	81	65	real	real	ADJ
cana-654	81	66	-	-	PUNCT
cana-654	81	67	time	time	NOUN
cana-654	81	68	obstacle	obstacle	NOUN
cana-654	81	69	detection	detection	NOUN
cana-654	81	70	systems	system	NOUN
cana-654	81	71	can	can	AUX
cana-654	81	72	enhance	enhance	VERB
cana-654	81	73	aav	aav	PROPN
cana-654	81	74	safety	safety	PROPN
cana-654	81	75	collaborative	collaborative	ADJ
cana-654	81	76	obstacle	obstacle	NOUN
cana-654	81	77	avoidance	avoidance	NOUN
cana-654	81	78	strategies	strategy	NOUN
cana-654	81	79	[	[	X
cana-654	81	80	23	23	NUM
cana-654	81	81	]	]	X
cana-654	81	82	develop	develop	VERB
cana-654	81	83	strategies	strategy	NOUN
cana-654	81	84	for	for	ADP
cana-654	81	85	aavs	aavs	NOUN
cana-654	81	86	to	to	PART
cana-654	81	87	collaborate	collaborate	VERB
cana-654	81	88	and	and	CCONJ
cana-654	81	89	avoid	avoid	VERB
cana-654	81	90	obstacles	obstacle	NOUN
cana-654	81	91	collectively	collectively	ADV
cana-654	81	92	improve	improve	VERB
cana-654	81	93	efficiency	efficiency	NOUN
cana-654	81	94	of	of	ADP
cana-654	81	95	obstacle	obstacle	NOUN
cana-654	81	96	avoidance	avoidance	NOUN
cana-654	81	97	reduce	reduce	VERB
cana-654	81	98	collisions	collision	NOUN
cana-654	81	99	in	in	ADP
cana-654	81	100	dense	dense	ADJ
cana-654	81	101	environments	environment	NOUN
cana-654	81	102	collaborative	collaborative	ADJ
cana-654	81	103	obstacle	obstacle	NOUN
cana-654	81	104	avoidance	avoidance	NOUN
cana-654	81	105	strategies	strategy	NOUN
cana-654	81	106	can	can	AUX
cana-654	81	107	enhance	enhance	VERB
cana-654	81	108	aav	aav	NOUN
cana-654	81	109	navigation	navigation	NOUN
cana-654	81	110	in	in	ADP
cana-654	81	111	crowded	crowded	ADJ
cana-654	81	112	areas	area	NOUN
cana-654	81	113	human	human	NOUN
cana-654	81	114	-	-	PUNCT
cana-654	81	115	in	in	ADP
cana-654	81	116	-	-	PUNCT
cana-654	81	117	theloop	theloop	NOUN
cana-654	81	118	systems	system	NOUN
cana-654	81	119	integrate	integrate	VERB
cana-654	81	120	human	human	ADJ
cana-654	81	121	operators	operator	NOUN
cana-654	81	122	in	in	ADP
cana-654	81	123	aav	aav	PROPN
cana-654	81	124	navigation	navigation	NOUN
cana-654	81	125	for	for	ADP
cana-654	81	126	enhanced	enhanced	ADJ
cana-654	81	127	safety	safety	NOUN
cana-654	82	1	[	[	X
cana-654	82	2	5	5	NUM
cana-654	82	3	]	]	PUNCT
cana-654	82	4	provide	provide	VERB
cana-654	82	5	human	human	ADJ
cana-654	82	6	oversight	oversight	NOUN
cana-654	82	7	and	and	CCONJ
cana-654	82	8	intervention	intervention	NOUN
cana-654	82	9	capabilities	capability	NOUN
cana-654	82	10	improve	improve	VERB
cana-654	82	11	safety	safety	NOUN
cana-654	82	12	in	in	ADP
cana-654	82	13	complex	complex	ADJ
cana-654	82	14	or	or	CCONJ
cana-654	82	15	uncertain	uncertain	ADJ
cana-654	82	16	environments	environment	NOUN
cana-654	82	17	human	human	NOUN
cana-654	82	18	-	-	PUNCT
cana-654	82	19	in	in	ADP
cana-654	82	20	-	-	PUNCT
cana-654	82	21	the	the	DET
cana-654	82	22	-	-	PUNCT
cana-654	82	23	loop	loop	NOUN
cana-654	82	24	systems	system	NOUN
cana-654	82	25	can	can	AUX
cana-654	82	26	enhance	enhance	VERB
cana-654	82	27	aav	aav	NOUN
cana-654	82	28	safety	safety	NOUN
cana-654	82	29	in	in	ADP
cana-654	82	30	challenging	challenge	VERB
cana-654	82	31	scenarios	scenario	NOUN
cana-654	82	32	3	3	NUM
cana-654	82	33	.	.	X
cana-654	82	34	methodology	methodology	NOUN
cana-654	82	35	the	the	DET
cana-654	82	36	study	study	NOUN
cana-654	82	37	used	use	VERB
cana-654	82	38	a	a	DET
cana-654	82	39	made	make	VERB
cana-654	82	40	-	-	PUNCT
cana-654	82	41	up	up	ADP
cana-654	82	42	dataset	dataset	NOUN
cana-654	82	43	that	that	PRON
cana-654	82	44	had	have	VERB
cana-654	82	45	information	information	NOUN
cana-654	82	46	about	about	ADP
cana-654	82	47	where	where	SCONJ
cana-654	82	48	moving	moving	NOUN
cana-654	82	49	items	item	NOUN
cana-654	82	50	were	be	AUX
cana-654	82	51	and	and	CCONJ
cana-654	82	52	the	the	DET
cana-654	82	53	position	position	NOUN
cana-654	82	54	,	,	PUNCT
cana-654	82	55	speed	speed	NOUN
cana-654	82	56	,	,	PUNCT
cana-654	82	57	and	and	CCONJ
cana-654	82	58	direction	direction	NOUN
cana-654	82	59	of	of	ADP
cana-654	82	60	an	an	DET
cana-654	82	61	autonomous	autonomous	ADJ
cana-654	82	62	aerial	aerial	ADJ
cana-654	82	63	vehicle	vehicle	NOUN
cana-654	82	64	(	(	PUNCT
cana-654	82	65	aav	aav	PROPN
cana-654	82	66	)	)	PUNCT
cana-654	82	67	.	.	PUNCT
cana-654	83	1	this	this	DET
cana-654	83	2	dataset	dataset	NOUN
cana-654	83	3	was	be	AUX
cana-654	83	4	made	make	VERB
cana-654	83	5	with	with	ADP
cana-654	83	6	a	a	DET
cana-654	83	7	complex	complex	ADJ
cana-654	83	8	modeling	modeling	NOUN
cana-654	83	9	system	system	NOUN
cana-654	83	10	that	that	PRON
cana-654	83	11	mimics	mimic	VERB
cana-654	83	12	real	real	ADJ
cana-654	83	13	-	-	PUNCT
cana-654	83	14	life	life	NOUN
cana-654	83	15	situations	situation	NOUN
cana-654	83	16	,	,	PUNCT
cana-654	83	17	such	such	ADJ
cana-654	83	18	as	as	ADP
cana-654	83	19	changing	change	VERB
cana-654	83	20	weather	weather	NOUN
cana-654	83	21	and	and	CCONJ
cana-654	83	22	moving	move	VERB
cana-654	83	23	items	item	NOUN
cana-654	83	24	.	.	PUNCT
cana-654	84	1	as	as	ADP
cana-654	84	2	part	part	NOUN
cana-654	84	3	of	of	ADP
cana-654	84	4	the	the	DET
cana-654	84	5	data	data	NOUN
cana-654	84	6	preprocessing	preprocessing	NOUN
cana-654	84	7	step	step	NOUN
cana-654	84	8	,	,	PUNCT
cana-654	84	9	useful	useful	ADJ
cana-654	84	10	data	datum	NOUN
cana-654	84	11	from	from	ADP
cana-654	84	12	the	the	DET
cana-654	84	13	dataset	dataset	NOUN
cana-654	84	14	was	be	AUX
cana-654	84	15	extracted	extract	VERB
cana-654	84	16	,	,	PUNCT
cana-654	84	17	such	such	ADJ
cana-654	84	18	as	as	ADP
cana-654	84	19	the	the	DET
cana-654	84	20	positions	position	NOUN
cana-654	84	21	and	and	CCONJ
cana-654	84	22	speeds	speed	NOUN
cana-654	84	23	of	of	ADP
cana-654	84	24	moving	move	VERB
cana-654	84	25	objects	object	NOUN
cana-654	84	26	in	in	ADP
cana-654	84	27	relation	relation	NOUN
cana-654	84	28	to	to	ADP
cana-654	84	29	the	the	DET
cana-654	84	30	aav	aav	NOUN
cana-654	84	31	.	.	PUNCT
cana-654	85	1	the	the	DET
cana-654	85	2	input	input	NOUN
cana-654	85	3	features	feature	NOUN
cana-654	85	4	were	be	AUX
cana-654	85	5	also	also	ADV
cana-654	85	6	[	[	X
cana-654	85	7	24	24	NUM
cana-654	85	8	]	]	PUNCT
cana-654	85	9	normalized	normalize	VERB
cana-654	85	10	to	to	PART
cana-654	85	11	make	make	VERB
cana-654	85	12	sure	sure	ADJ
cana-654	85	13	they	they	PRON
cana-654	85	14	were	be	AUX
cana-654	85	15	all	all	ADV
cana-654	85	16	in	in	ADP
cana-654	85	17	the	the	DET
cana-654	85	18	same	same	ADJ
cana-654	85	19	range	range	NOUN
cana-654	85	20	,	,	PUNCT
cana-654	85	21	which	which	PRON
cana-654	85	22	helps	help	VERB
cana-654	85	23	with	with	ADP
cana-654	85	24	training	training	NOUN
cana-654	85	25	and	and	CCONJ
cana-654	85	26	makes	make	VERB
cana-654	85	27	the	the	DET
cana-654	85	28	model	model	NOUN
cana-654	85	29	work	work	VERB
cana-654	85	30	better	well	ADV
cana-654	85	31	.	.	PUNCT
cana-654	86	1	to	to	PART
cana-654	86	2	make	make	VERB
cana-654	86	3	the	the	DET
cana-654	86	4	prediction	prediction	NOUN
cana-654	86	5	model	model	NOUN
cana-654	86	6	,	,	PUNCT
cana-654	86	7	a	a	DET
cana-654	86	8	gated	gate	VERB
cana-654	86	9	recurrent	recurrent	ADJ
cana-654	86	10	unit	unit	NOUN
cana-654	86	11	(	(	PUNCT
cana-654	86	12	gru)-based	gru)-base	VERB
cana-654	86	13	neural	neural	ADJ
cana-654	86	14	network	network	NOUN
cana-654	86	15	design	design	NOUN
cana-654	86	16	was	be	AUX
cana-654	86	17	created	create	VERB
cana-654	86	18	to	to	PART
cana-654	86	19	guess	guess	VERB
cana-654	86	20	where	where	SCONJ
cana-654	86	21	moving	moving	NOUN
cana-654	86	22	items	item	NOUN
cana-654	86	23	will	will	AUX
cana-654	86	24	be	be	AUX
cana-654	86	25	in	in	ADP
cana-654	86	26	the	the	DET
cana-654	86	27	future	future	NOUN
cana-654	86	28	.	.	PUNCT
cana-654	87	1	the	the	DET
cana-654	87	2	present	present	ADJ
cana-654	87	3	position	position	NOUN
cana-654	87	4	,	,	PUNCT
cana-654	87	5	speed	speed	NOUN
cana-654	87	6	,	,	PUNCT
cana-654	87	7	and	and	CCONJ
cana-654	87	8	direction	direction	NOUN
cana-654	87	9	of	of	ADP
cana-654	87	10	the	the	DET
cana-654	87	11	aav	aav	NOUN
cana-654	87	12	are	be	AUX
cana-654	87	13	fed	feed	VERB
cana-654	87	14	into	into	ADP
cana-654	87	15	the	the	DET
cana-654	87	16	model	model	NOUN
cana-654	87	17	,	,	PUNCT
cana-654	87	18	along	along	ADP
cana-654	87	19	with	with	ADP
cana-654	87	20	the	the	DET
cana-654	87	21	positions	position	NOUN
cana-654	87	22	of	of	ADP
cana-654	87	23	dangers	danger	NOUN
cana-654	87	24	in	in	ADP
cana-654	87	25	the	the	DET
cana-654	87	26	past	past	NOUN
cana-654	87	27	.	.	PUNCT
cana-654	88	1	communications	communication	NOUN
cana-654	88	2	on	on	ADP
cana-654	88	3	applied	apply	VERB
cana-654	88	4	nonlinear	nonlinear	ADJ
cana-654	88	5	analysis	analysis	NOUN
cana-654	88	6	issn	issn	NOUN
cana-654	88	7	:	:	PUNCT
cana-654	88	8	1074	1074	NUM
cana-654	88	9	-	-	PUNCT
cana-654	88	10	133x	133x	NUM
cana-654	88	11	vol	vol	NOUN
cana-654	88	12	31	31	NUM
cana-654	88	13	no	no	NOUN
cana-654	88	14	.	.	PUNCT
cana-654	89	1	2s	2s	NUM
cana-654	89	2	(	(	PUNCT
cana-654	89	3	2024	2024	NUM
cana-654	89	4	)	)	PUNCT
cana-654	89	5	364	364	NUM
cana-654	89	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-654	89	7	figure	figure	NOUN
cana-654	89	8	1	1	NUM
cana-654	89	9	:	:	PUNCT
cana-654	89	10	overview	overview	NOUN
cana-654	89	11	of	of	ADP
cana-654	89	12	proposed	propose	VERB
cana-654	89	13	model	model	NOUN
cana-654	89	14	the	the	DET
cana-654	89	15	model	model	NOUN
cana-654	89	16	then	then	ADV
cana-654	89	17	learns	learn	VERB
cana-654	89	18	from	from	ADP
cana-654	89	19	the	the	DET
cana-654	89	20	past	past	ADJ
cana-654	89	21	data	datum	NOUN
cana-654	89	22	to	to	PART
cana-654	89	23	guess	guess	VERB
cana-654	89	24	where	where	SCONJ
cana-654	89	25	hurdles	hurdle	NOUN
cana-654	89	26	will	will	AUX
cana-654	89	27	be	be	AUX
cana-654	89	28	in	in	ADP
cana-654	89	29	the	the	DET
cana-654	89	30	future	future	NOUN
cana-654	89	31	.	.	PUNCT
cana-654	90	1	as	as	SCONJ
cana-654	90	2	new	new	ADJ
cana-654	90	3	information	information	NOUN
cana-654	90	4	comes	come	VERB
cana-654	90	5	in	in	ADV
cana-654	90	6	,	,	PUNCT
cana-654	90	7	it	it	PRON
cana-654	90	8	changes	change	VERB
cana-654	90	9	its	its	PRON
cana-654	90	10	predictions	prediction	NOUN
cana-654	90	11	in	in	ADP
cana-654	90	12	real	real	ADJ
cana-654	90	13	time	time	NOUN
cana-654	90	14	.	.	PUNCT
cana-654	91	1	in	in	ADP
cana-654	91	2	order	order	NOUN
cana-654	91	3	to	to	PART
cana-654	91	4	make	make	VERB
cana-654	91	5	sure	sure	ADJ
cana-654	91	6	the	the	DET
cana-654	91	7	model	model	NOUN
cana-654	91	8	could	could	AUX
cana-654	91	9	be	be	AUX
cana-654	91	10	used	use	VERB
cana-654	91	11	in	in	ADP
cana-654	91	12	different	different	ADJ
cana-654	91	13	situations	situation	NOUN
cana-654	91	14	,	,	PUNCT
cana-654	91	15	the	the	DET
cana-654	91	16	information	information	NOUN
cana-654	91	17	was	be	AUX
cana-654	91	18	split	split	VERB
cana-654	91	19	into	into	ADP
cana-654	91	20	training	training	NOUN
cana-654	91	21	,	,	PUNCT
cana-654	91	22	validation	validation	NOUN
cana-654	91	23	,	,	PUNCT
cana-654	91	24	and	and	CCONJ
cana-654	91	25	test	test	NOUN
cana-654	91	26	sets	set	NOUN
cana-654	91	27	during	during	ADP
cana-654	91	28	the	the	DET
cana-654	91	29	training	training	NOUN
cana-654	91	30	process	process	NOUN
cana-654	91	31	.	.	PUNCT
cana-654	92	1	the	the	DET
cana-654	92	2	model	model	NOUN
cana-654	92	3	was	be	AUX
cana-654	92	4	trained	train	VERB
cana-654	92	5	on	on	ADP
cana-654	92	6	the	the	DET
cana-654	92	7	training	training	NOUN
cana-654	92	8	set	set	NOUN
cana-654	92	9	,	,	PUNCT
cana-654	92	10	and	and	CCONJ
cana-654	92	11	the	the	DET
cana-654	92	12	validation	validation	NOUN
cana-654	92	13	set	set	NOUN
cana-654	92	14	was	be	AUX
cana-654	92	15	used	use	VERB
cana-654	92	16	to	to	PART
cana-654	92	17	tune	tune	VERB
cana-654	92	18	the	the	DET
cana-654	92	19	hyperparameters	hyperparameter	NOUN
cana-654	92	20	so	so	SCONJ
cana-654	92	21	that	that	SCONJ
cana-654	92	22	the	the	DET
cana-654	92	23	model	model	NOUN
cana-654	92	24	would	would	AUX
cana-654	92	25	n't	not	PART
cana-654	92	26	become	become	VERB
cana-654	92	27	too	too	ADV
cana-654	92	28	good	good	ADJ
cana-654	92	29	at	at	ADP
cana-654	92	30	what	what	PRON
cana-654	92	31	it	it	PRON
cana-654	92	32	does	do	AUX
cana-654	92	33	.	.	PUNCT
cana-654	93	1	to	to	PART
cana-654	93	2	train	train	VERB
cana-654	93	3	,	,	PUNCT
cana-654	93	4	the	the	DET
cana-654	93	5	adam	adam	PROPN
cana-654	93	6	algorithm	algorithm	PROPN
cana-654	93	7	and	and	CCONJ
cana-654	93	8	the	the	DET
cana-654	93	9	mean	mean	ADJ
cana-654	93	10	squared	square	VERB
cana-654	93	11	error	error	NOUN
cana-654	93	12	(	(	PUNCT
cana-654	93	13	mse	mse	NOUN
cana-654	93	14	)	)	PUNCT
cana-654	93	15	loss	loss	NOUN
cana-654	93	16	function	function	NOUN
cana-654	93	17	were	be	AUX
cana-654	93	18	used	use	VERB
cana-654	93	19	.	.	PUNCT
cana-654	94	1	criteria	criterion	NOUN
cana-654	94	2	for	for	ADP
cana-654	94	3	evaluation	evaluation	NOUN
cana-654	94	4	included	include	VERB
cana-654	94	5	the	the	DET
cana-654	94	6	amount	amount	NOUN
cana-654	94	7	of	of	ADP
cana-654	94	8	accidents	accident	NOUN
cana-654	94	9	,	,	PUNCT
cana-654	94	10	the	the	DET
cana-654	94	11	accuracy	accuracy	NOUN
cana-654	94	12	of	of	ADP
cana-654	94	13	the	the	DET
cana-654	94	14	predictions	prediction	NOUN
cana-654	94	15	,	,	PUNCT
cana-654	94	16	and	and	CCONJ
cana-654	94	17	the	the	DET
cana-654	94	18	speed	speed	NOUN
cana-654	94	19	of	of	ADP
cana-654	94	20	the	the	DET
cana-654	94	21	computer	computer	NOUN
cana-654	94	22	.	.	PUNCT
cana-654	95	1	the	the	DET
cana-654	95	2	number	number	NOUN
cana-654	95	3	of	of	ADP
cana-654	95	4	simulations	simulation	NOUN
cana-654	95	5	in	in	ADP
cana-654	95	6	which	which	PRON
cana-654	95	7	the	the	DET
cana-654	95	8	aav	aav	NOUN
cana-654	95	9	hit	hit	VERB
cana-654	95	10	an	an	DET
cana-654	95	11	object	object	NOUN
cana-654	95	12	was	be	AUX
cana-654	95	13	used	use	VERB
cana-654	95	14	to	to	PART
cana-654	95	15	figure	figure	VERB
cana-654	95	16	out	out	ADP
cana-654	95	17	how	how	SCONJ
cana-654	95	18	well	well	ADV
cana-654	95	19	the	the	DET
cana-654	95	20	model	model	NOUN
cana-654	95	21	could	could	AUX
cana-654	95	22	avoid	avoid	VERB
cana-654	95	23	accidents	accident	NOUN
cana-654	95	24	.	.	PUNCT
cana-654	96	1	how	how	SCONJ
cana-654	96	2	well	well	ADV
cana-654	96	3	the	the	DET
cana-654	96	4	model	model	NOUN
cana-654	96	5	's	's	PART
cana-654	96	6	guesses	guess	NOUN
cana-654	96	7	matched	match	VERB
cana-654	96	8	the	the	DET
cana-654	96	9	real	real	ADJ
cana-654	96	10	places	place	NOUN
cana-654	96	11	of	of	ADP
cana-654	96	12	moving	move	VERB
cana-654	96	13	items	item	NOUN
cana-654	96	14	was	be	AUX
cana-654	96	15	measured	measure	VERB
cana-654	96	16	by	by	ADP
cana-654	96	17	prediction	prediction	NOUN
cana-654	96	18	accuracy	accuracy	NOUN
cana-654	96	19	.	.	PUNCT
cana-654	97	1	how	how	SCONJ
cana-654	97	2	quickly	quickly	ADV
cana-654	97	3	the	the	DET
cana-654	97	4	model	model	NOUN
cana-654	97	5	could	could	AUX
cana-654	97	6	make	make	VERB
cana-654	97	7	predictions	prediction	NOUN
cana-654	97	8	was	be	AUX
cana-654	97	9	measured	measure	VERB
cana-654	97	10	by	by	ADP
cana-654	97	11	its	its	PRON
cana-654	97	12	computing	computing	NOUN
cana-654	97	13	speed	speed	NOUN
cana-654	97	14	.	.	PUNCT
cana-654	98	1	this	this	PRON
cana-654	98	2	is	be	AUX
cana-654	98	3	important	important	ADJ
cana-654	98	4	for	for	ADP
cana-654	98	5	real	real	ADJ
cana-654	98	6	-	-	PUNCT
cana-654	98	7	time	time	NOUN
cana-654	98	8	uses	use	NOUN
cana-654	98	9	.	.	PUNCT
cana-654	99	1	the	the	DET
cana-654	99	2	study	study	NOUN
cana-654	99	3	showed	show	VERB
cana-654	99	4	that	that	SCONJ
cana-654	99	5	the	the	DET
cana-654	99	6	gru	gru	NOUN
cana-654	99	7	-	-	PUNCT
cana-654	99	8	based	base	VERB
cana-654	99	9	prediction	prediction	NOUN
cana-654	99	10	model	model	NOUN
cana-654	99	11	works	work	VERB
cana-654	99	12	well	well	ADV
cana-654	99	13	for	for	ADP
cana-654	99	14	dynamic	dynamic	ADJ
cana-654	99	15	obstacle	obstacle	NOUN
cana-654	99	16	avoidance	avoidance	NOUN
cana-654	99	17	for	for	ADP
cana-654	99	18	aavs	aavs	NOUN
cana-654	99	19	,	,	PUNCT
cana-654	99	20	with	with	ADP
cana-654	99	21	good	good	ADJ
cana-654	99	22	results	result	NOUN
cana-654	99	23	in	in	ADP
cana-654	99	24	terms	term	NOUN
cana-654	99	25	of	of	ADP
cana-654	99	26	accuracy	accuracy	NOUN
cana-654	99	27	and	and	CCONJ
cana-654	99	28	economy	economy	NOUN
cana-654	99	29	.	.	PUNCT
cana-654	100	1	a.	a.	NOUN
cana-654	100	2	dataset	dataset	PROPN
cana-654	100	3	description	description	NOUN
cana-654	100	4	:	:	PUNCT
cana-654	100	5	•	•	ADP
cana-654	100	6	we	we	PRON
cana-654	100	7	used	use	VERB
cana-654	100	8	a	a	DET
cana-654	100	9	synthetic	synthetic	ADJ
cana-654	100	10	dataset	dataset	NOUN
cana-654	100	11	that	that	PRON
cana-654	100	12	has	have	VERB
cana-654	100	13	data	datum	NOUN
cana-654	100	14	on	on	ADP
cana-654	100	15	the	the	DET
cana-654	100	16	position	position	NOUN
cana-654	100	17	,	,	PUNCT
cana-654	100	18	speed	speed	NOUN
cana-654	100	19	,	,	PUNCT
cana-654	100	20	and	and	CCONJ
cana-654	100	21	direction	direction	NOUN
cana-654	100	22	of	of	ADP
cana-654	100	23	the	the	DET
cana-654	100	24	aav	aav	NOUN
cana-654	100	25	,	,	PUNCT
cana-654	100	26	as	as	ADV
cana-654	100	27	well	well	ADV
cana-654	100	28	as	as	ADP
cana-654	100	29	the	the	DET
cana-654	100	30	locations	location	NOUN
cana-654	100	31	of	of	ADP
cana-654	100	32	moving	move	VERB
cana-654	100	33	objects	object	NOUN
cana-654	100	34	.	.	PUNCT
cana-654	101	1	•	•	NOUN
cana-654	101	2	the	the	DET
cana-654	101	3	dataset	dataset	NOUN
cana-654	101	4	was	be	AUX
cana-654	101	5	made	make	VERB
cana-654	101	6	using	use	VERB
cana-654	101	7	an	an	DET
cana-654	101	8	accurate	accurate	ADJ
cana-654	101	9	modeling	modeling	NOUN
cana-654	101	10	environment	environment	NOUN
cana-654	101	11	that	that	PRON
cana-654	101	12	mimics	mimic	VERB
cana-654	101	13	real	real	ADJ
cana-654	101	14	-	-	PUNCT
cana-654	101	15	life	life	NOUN
cana-654	101	16	situations	situation	NOUN
cana-654	101	17	by	by	ADP
cana-654	101	18	adding	add	VERB
cana-654	101	19	different	different	ADJ
cana-654	101	20	kinds	kind	NOUN
cana-654	101	21	of	of	ADP
cana-654	101	22	moving	move	VERB
cana-654	101	23	objects	object	NOUN
cana-654	101	24	and	and	CCONJ
cana-654	101	25	changing	change	VERB
cana-654	101	26	weather	weather	NOUN
cana-654	101	27	conditions	condition	NOUN
cana-654	101	28	.	.	PUNCT
cana-654	102	1	•	•	NUM
cana-654	102	2	the	the	DET
cana-654	102	3	lyft	lyft	NOUN
cana-654	102	4	motion	motion	NOUN
cana-654	102	5	prediction	prediction	NOUN
cana-654	102	6	for	for	ADP
cana-654	102	7	autonomous	autonomous	ADJ
cana-654	102	8	vehicles	vehicle	NOUN
cana-654	102	9	game	game	NOUN
cana-654	102	10	on	on	ADP
cana-654	102	11	kaggle	kaggle	PROPN
cana-654	102	12	is	be	AUX
cana-654	102	13	a	a	DET
cana-654	102	14	task	task	NOUN
cana-654	102	15	to	to	PART
cana-654	102	16	guess	guess	VERB
cana-654	102	17	how	how	SCONJ
cana-654	102	18	traffic	traffic	NOUN
cana-654	102	19	agents	agent	NOUN
cana-654	102	20	(	(	PUNCT
cana-654	102	21	like	like	ADP
cana-654	102	22	cars	car	NOUN
cana-654	102	23	,	,	PUNCT
cana-654	102	24	people	people	NOUN
cana-654	102	25	walking	walk	VERB
cana-654	102	26	,	,	PUNCT
cana-654	102	27	and	and	CCONJ
cana-654	102	28	bicycles	bicycle	NOUN
cana-654	102	29	)	)	PUNCT
cana-654	102	30	will	will	AUX
cana-654	102	31	move	move	VERB
cana-654	102	32	in	in	ADP
cana-654	102	33	cities	city	NOUN
cana-654	102	34	in	in	ADP
cana-654	102	35	the	the	DET
cana-654	102	36	future	future	NOUN
cana-654	102	37	.	.	PUNCT
cana-654	103	1	participants	participant	NOUN
cana-654	103	2	are	be	AUX
cana-654	103	3	given	give	VERB
cana-654	103	4	a	a	DET
cana-654	103	5	big	big	ADJ
cana-654	103	6	collection	collection	NOUN
cana-654	103	7	that	that	PRON
cana-654	103	8	includes	include	VERB
cana-654	103	9	information	information	NOUN
cana-654	103	10	about	about	ADP
cana-654	103	11	where	where	SCONJ
cana-654	103	12	these	these	DET
cana-654	103	13	characters	character	NOUN
cana-654	103	14	have	have	AUX
cana-654	103	15	been	be	AUX
cana-654	103	16	in	in	ADP
cana-654	103	17	the	the	DET
cana-654	103	18	past	past	NOUN
cana-654	103	19	,	,	PUNCT
cana-654	103	20	as	as	ADV
cana-654	103	21	well	well	ADV
cana-654	103	22	as	as	ADP
cana-654	103	23	information	information	NOUN
cana-654	103	24	about	about	ADP
cana-654	103	25	the	the	DET
cana-654	103	26	environment	environment	NOUN
cana-654	103	27	,	,	PUNCT
cana-654	103	28	such	such	ADJ
cana-654	103	29	as	as	ADP
cana-654	103	30	sensor	sensor	NOUN
cana-654	103	31	data	datum	NOUN
cana-654	103	32	,	,	PUNCT
cana-654	103	33	semantic	semantic	ADJ
cana-654	103	34	map	map	NOUN
cana-654	103	35	information	information	NOUN
cana-654	103	36	,	,	PUNCT
cana-654	103	37	and	and	CCONJ
cana-654	103	38	map	map	VERB
cana-654	103	39	data	datum	NOUN
cana-654	103	40	.	.	PUNCT
cana-654	104	1	the	the	DET
cana-654	104	2	competition	competition	NOUN
cana-654	104	3	's	's	PART
cana-654	104	4	goal	goal	NOUN
cana-654	104	5	is	be	AUX
cana-654	104	6	to	to	PART
cana-654	104	7	make	make	VERB
cana-654	104	8	accurate	accurate	ADJ
cana-654	104	9	models	model	NOUN
cana-654	104	10	that	that	PRON
cana-654	104	11	can	can	AUX
cana-654	104	12	guess	guess	VERB
cana-654	104	13	where	where	SCONJ
cana-654	104	14	traffic	traffic	NOUN
cana-654	104	15	cops	cop	NOUN
cana-654	104	16	will	will	AUX
cana-654	104	17	go	go	VERB
cana-654	104	18	in	in	ADP
cana-654	104	19	the	the	DET
cana-654	104	20	future	future	NOUN
cana-654	104	21	.	.	PUNCT
cana-654	105	1	this	this	PRON
cana-654	105	2	is	be	AUX
cana-654	105	3	important	important	ADJ
cana-654	105	4	for	for	ADP
cana-654	105	5	making	make	VERB
cana-654	105	6	sure	sure	ADJ
cana-654	105	7	that	that	SCONJ
cana-654	105	8	communications	communication	NOUN
cana-654	105	9	on	on	ADP
cana-654	105	10	applied	apply	VERB
cana-654	105	11	nonlinear	nonlinear	ADJ
cana-654	105	12	analysis	analysis	NOUN
cana-654	105	13	issn	issn	NOUN
cana-654	105	14	:	:	PUNCT
cana-654	105	15	1074	1074	NUM
cana-654	105	16	-	-	PUNCT
cana-654	105	17	133x	133x	NUM
cana-654	105	18	vol	vol	NOUN
cana-654	105	19	31	31	NUM
cana-654	105	20	no	no	NOUN
cana-654	105	21	.	.	PUNCT
cana-654	106	1	2s	2s	NUM
cana-654	106	2	(	(	PUNCT
cana-654	106	3	2024	2024	NUM
cana-654	106	4	)	)	PUNCT
cana-654	106	5	365	365	NUM
cana-654	106	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-654	106	7	self	self	NOUN
cana-654	106	8	-	-	PUNCT
cana-654	106	9	driving	drive	VERB
cana-654	106	10	cars	car	NOUN
cana-654	106	11	can	can	AUX
cana-654	106	12	get	get	VERB
cana-654	106	13	around	around	ADP
cana-654	106	14	cities	city	NOUN
cana-654	106	15	safely	safely	ADV
cana-654	106	16	and	and	CCONJ
cana-654	106	17	quickly	quickly	ADV
cana-654	106	18	.	.	PUNCT
cana-654	107	1	a	a	DET
cana-654	107	2	number	number	NOUN
cana-654	107	3	of	of	ADP
cana-654	107	4	measures	measure	NOUN
cana-654	107	5	,	,	PUNCT
cana-654	107	6	such	such	ADJ
cana-654	107	7	as	as	ADP
cana-654	107	8	the	the	DET
cana-654	107	9	mean	mean	ADJ
cana-654	107	10	average	average	ADJ
cana-654	107	11	error	error	NOUN
cana-654	107	12	(	(	PUNCT
cana-654	107	13	mae	mae	PROPN
cana-654	107	14	)	)	PUNCT
cana-654	107	15	and	and	CCONJ
cana-654	107	16	the	the	DET
cana-654	107	17	final	final	ADJ
cana-654	107	18	displacement	displacement	NOUN
cana-654	107	19	error	error	NOUN
cana-654	107	20	(	(	PUNCT
cana-654	107	21	fde	fde	PROPN
cana-654	107	22	)	)	PUNCT
cana-654	107	23	,	,	PUNCT
cana-654	107	24	are	be	AUX
cana-654	107	25	used	use	VERB
cana-654	107	26	to	to	PART
cana-654	107	27	judge	judge	VERB
cana-654	107	28	how	how	SCONJ
cana-654	107	29	accurate	accurate	ADJ
cana-654	107	30	the	the	DET
cana-654	107	31	participants	participant	NOUN
cana-654	107	32	'	'	PART
cana-654	107	33	estimates	estimate	NOUN
cana-654	107	34	were	be	AUX
cana-654	107	35	.	.	PUNCT
cana-654	108	1	this	this	DET
cana-654	108	2	race	race	NOUN
cana-654	108	3	is	be	AUX
cana-654	108	4	important	important	ADJ
cana-654	108	5	for	for	ADP
cana-654	108	6	the	the	DET
cana-654	108	7	progress	progress	NOUN
cana-654	108	8	of	of	ADP
cana-654	108	9	self	self	NOUN
cana-654	108	10	-	-	PUNCT
cana-654	108	11	driving	drive	VERB
cana-654	108	12	cars	car	NOUN
cana-654	108	13	because	because	SCONJ
cana-654	108	14	accurate	accurate	ADJ
cana-654	108	15	motion	motion	NOUN
cana-654	108	16	modeling	modeling	NOUN
cana-654	108	17	is	be	AUX
cana-654	108	18	needed	need	VERB
cana-654	108	19	to	to	PART
cana-654	108	20	make	make	VERB
cana-654	108	21	sure	sure	ADJ
cana-654	108	22	that	that	SCONJ
cana-654	108	23	these	these	DET
cana-654	108	24	systems	system	NOUN
cana-654	108	25	work	work	VERB
cana-654	108	26	well	well	ADV
cana-654	108	27	and	and	CCONJ
cana-654	108	28	safely	safely	ADV
cana-654	108	29	in	in	ADP
cana-654	108	30	real	real	ADJ
cana-654	108	31	life	life	NOUN
cana-654	108	32	.	.	PUNCT
cana-654	109	1	the	the	DET
cana-654	109	2	competition	competition	NOUN
cana-654	109	3	gives	give	VERB
cana-654	109	4	people	people	NOUN
cana-654	109	5	the	the	DET
cana-654	109	6	chance	chance	NOUN
cana-654	109	7	to	to	PART
cana-654	109	8	use	use	VERB
cana-654	109	9	their	their	PRON
cana-654	109	10	knowledge	knowledge	NOUN
cana-654	109	11	of	of	ADP
cana-654	109	12	machine	machine	NOUN
cana-654	109	13	learning	learning	NOUN
cana-654	109	14	and	and	CCONJ
cana-654	109	15	data	datum	NOUN
cana-654	109	16	analysis	analysis	NOUN
cana-654	109	17	to	to	PART
cana-654	109	18	solve	solve	VERB
cana-654	109	19	a	a	DET
cana-654	109	20	tough	tough	ADJ
cana-654	109	21	and	and	CCONJ
cana-654	109	22	significant	significant	ADJ
cana-654	109	23	issue	issue	NOUN
cana-654	109	24	in	in	ADP
cana-654	109	25	the	the	DET
cana-654	109	26	area	area	NOUN
cana-654	109	27	of	of	ADP
cana-654	109	28	selfdriving	selfdrive	VERB
cana-654	109	29	cars	car	NOUN
cana-654	109	30	.	.	PUNCT
cana-654	110	1	b.	b.	PROPN
cana-654	110	2	data	data	PROPN
cana-654	110	3	preprocessing	preprocessing	NOUN
cana-654	110	4	:	:	PUNCT
cana-654	110	5	•	•	ADP
cana-654	110	6	we	we	PRON
cana-654	110	7	took	take	VERB
cana-654	110	8	useful	useful	ADJ
cana-654	110	9	information	information	NOUN
cana-654	110	10	from	from	ADP
cana-654	110	11	the	the	DET
cana-654	110	12	dataset	dataset	NOUN
cana-654	110	13	,	,	PUNCT
cana-654	110	14	like	like	ADP
cana-654	110	15	where	where	SCONJ
cana-654	110	16	objects	object	NOUN
cana-654	110	17	are	be	AUX
cana-654	110	18	in	in	ADP
cana-654	110	19	relation	relation	NOUN
cana-654	110	20	to	to	ADP
cana-654	110	21	the	the	DET
cana-654	110	22	aav	aav	NOUN
cana-654	110	23	,	,	PUNCT
cana-654	110	24	how	how	SCONJ
cana-654	110	25	fast	fast	ADV
cana-654	110	26	they	they	PRON
cana-654	110	27	are	be	AUX
cana-654	110	28	moving	move	VERB
cana-654	110	29	,	,	PUNCT
cana-654	110	30	and	and	CCONJ
cana-654	110	31	how	how	SCONJ
cana-654	110	32	far	far	ADV
cana-654	110	33	away	away	ADV
cana-654	110	34	they	they	PRON
cana-654	110	35	are	be	AUX
cana-654	110	36	[	[	X
cana-654	110	37	6	6	NUM
cana-654	110	38	]	]	PUNCT
cana-654	110	39	.	.	PUNCT
cana-654	111	1	•	•	NOUN
cana-654	111	2	to	to	PART
cana-654	111	3	make	make	VERB
cana-654	111	4	sure	sure	ADJ
cana-654	111	5	that	that	SCONJ
cana-654	111	6	all	all	PRON
cana-654	111	7	of	of	ADP
cana-654	111	8	the	the	DET
cana-654	111	9	input	input	NOUN
cana-654	111	10	features	feature	NOUN
cana-654	111	11	were	be	AUX
cana-654	111	12	in	in	ADP
cana-654	111	13	the	the	DET
cana-654	111	14	same	same	ADJ
cana-654	111	15	range	range	NOUN
cana-654	111	16	,	,	PUNCT
cana-654	111	17	normalization	normalization	NOUN
cana-654	111	18	methods	method	NOUN
cana-654	111	19	were	be	AUX
cana-654	111	20	used	use	VERB
cana-654	111	21	.	.	PUNCT
cana-654	112	1	this	this	PRON
cana-654	112	2	helps	help	VERB
cana-654	112	3	the	the	DET
cana-654	112	4	training	training	NOUN
cana-654	112	5	process	process	NOUN
cana-654	112	6	and	and	CCONJ
cana-654	112	7	the	the	DET
cana-654	112	8	model	model	NOUN
cana-654	112	9	's	's	PART
cana-654	112	10	success	success	NOUN
cana-654	112	11	.	.	PUNCT
cana-654	113	1	c.	c.	PROPN
cana-654	113	2	gru	gru	PROPN
cana-654	113	3	-	-	PUNCT
cana-654	113	4	based	base	VERB
cana-654	113	5	predictive	predictive	ADJ
cana-654	113	6	model	model	NOUN
cana-654	113	7	:	:	PUNCT
cana-654	113	8	the	the	DET
cana-654	113	9	gru	gru	NOUN
cana-654	113	10	-	-	PUNCT
cana-654	113	11	based	base	VERB
cana-654	113	12	prediction	prediction	NOUN
cana-654	113	13	model	model	NOUN
cana-654	113	14	we	we	PRON
cana-654	113	15	talked	talk	VERB
cana-654	113	16	about	about	ADP
cana-654	113	17	above	above	ADV
cana-654	113	18	is	be	AUX
cana-654	113	19	designed	design	VERB
cana-654	113	20	to	to	PART
cana-654	113	21	guess	guess	VERB
cana-654	113	22	where	where	SCONJ
cana-654	113	23	moving	moving	NOUN
cana-654	113	24	items	item	NOUN
cana-654	113	25	will	will	AUX
cana-654	113	26	be	be	AUX
cana-654	113	27	in	in	ADP
cana-654	113	28	the	the	DET
cana-654	113	29	future	future	NOUN
cana-654	113	30	when	when	SCONJ
cana-654	113	31	autonomous	autonomous	ADJ
cana-654	113	32	aerial	aerial	ADJ
cana-654	113	33	vehicles	vehicle	NOUN
cana-654	113	34	(	(	PUNCT
cana-654	113	35	aavs	aavs	PROPN
cana-654	113	36	)	)	PUNCT
cana-654	113	37	are	be	AUX
cana-654	113	38	going	go	VERB
cana-654	113	39	through	through	ADP
cana-654	113	40	changing	change	VERB
cana-654	113	41	environments	environment	NOUN
cana-654	113	42	.	.	PUNCT
cana-654	114	1	gated	gate	VERB
cana-654	114	2	recurrent	recurrent	ADJ
cana-654	114	3	units	unit	NOUN
cana-654	114	4	(	(	PUNCT
cana-654	114	5	grus	grus	NOUN
cana-654	114	6	)	)	PUNCT
cana-654	114	7	are	be	AUX
cana-654	114	8	a	a	DET
cana-654	114	9	type	type	NOUN
cana-654	114	10	of	of	ADP
cana-654	114	11	recurrent	recurrent	ADJ
cana-654	114	12	neural	neural	ADJ
cana-654	114	13	networks	network	NOUN
cana-654	114	14	(	(	PUNCT
cana-654	114	15	rnns	rnns	PROPN
cana-654	114	16	)	)	PUNCT
cana-654	114	17	that	that	PRON
cana-654	114	18	are	be	AUX
cana-654	114	19	good	good	ADJ
cana-654	114	20	at	at	ADP
cana-654	114	21	catching	catch	VERB
cana-654	114	22	long	long	ADJ
cana-654	114	23	-	-	PUNCT
cana-654	114	24	range	range	NOUN
cana-654	114	25	relationships	relationship	NOUN
cana-654	114	26	in	in	ADP
cana-654	114	27	sequential	sequential	ADJ
cana-654	114	28	data	datum	NOUN
cana-654	114	29	.	.	PUNCT
cana-654	115	1	this	this	DET
cana-654	115	2	model	model	NOUN
cana-654	115	3	design	design	NOUN
cana-654	115	4	makes	make	VERB
cana-654	115	5	use	use	NOUN
cana-654	115	6	of	of	ADP
cana-654	115	7	their	their	PRON
cana-654	115	8	strengths	strength	NOUN
cana-654	115	9	.	.	PUNCT
cana-654	116	1	figure	figure	NOUN
cana-654	116	2	2	2	NUM
cana-654	116	3	:	:	PUNCT
cana-654	116	4	architecture	architecture	NOUN
cana-654	116	5	of	of	ADP
cana-654	116	6	gru	gru	NOUN
cana-654	116	7	there	there	PRON
cana-654	116	8	are	be	VERB
cana-654	116	9	a	a	DET
cana-654	116	10	few	few	ADJ
cana-654	116	11	important	important	ADJ
cana-654	116	12	parts	part	NOUN
cana-654	116	13	that	that	PRON
cana-654	116	14	make	make	VERB
cana-654	116	15	up	up	ADP
cana-654	116	16	the	the	DET
cana-654	116	17	model	model	NOUN
cana-654	116	18	's	's	PART
cana-654	116	19	heart	heart	NOUN
cana-654	116	20	.	.	PUNCT
cana-654	117	1	it	it	PRON
cana-654	117	2	is	be	AUX
cana-654	117	3	the	the	DET
cana-654	117	4	current	current	ADJ
cana-654	117	5	input	input	NOUN
cana-654	117	6	(	(	PUNCT
cana-654	117	7	xt	xt	NUM
cana-654	117	8	)	)	PUNCT
cana-654	117	9	and	and	CCONJ
cana-654	117	10	the	the	DET
cana-654	117	11	previous	previous	ADJ
cana-654	117	12	hidden	hidden	ADJ
cana-654	117	13	state	state	NOUN
cana-654	117	14	that	that	PRON
cana-654	117	15	tell	tell	VERB
cana-654	117	16	the	the	DET
cana-654	117	17	reset	reset	NOUN
cana-654	117	18	gate	gate	NOUN
cana-654	117	19	(	(	PUNCT
cana-654	117	20	rt	rt	PROPN
cana-654	117	21	)	)	PUNCT
cana-654	117	22	how	how	SCONJ
cana-654	117	23	much	much	ADJ
cana-654	117	24	of	of	ADP
cana-654	117	25	the	the	DET
cana-654	117	26	previous	previous	ADJ
cana-654	117	27	hidden	hidden	ADJ
cana-654	117	28	state	state	NOUN
cana-654	117	29	(	(	PUNCT
cana-654	117	30	ht_1	ht_1	ADJ
cana-654	117	31	)	)	PUNCT
cana-654	117	32	should	should	AUX
cana-654	117	33	be	be	AUX
cana-654	117	34	ignored	ignore	VERB
cana-654	117	35	.	.	PUNCT
cana-654	118	1	taking	take	VERB
cana-654	118	2	into	into	ADP
cana-654	118	3	account	account	NOUN
cana-654	118	4	the	the	DET
cana-654	118	5	current	current	ADJ
cana-654	118	6	input	input	NOUN
cana-654	118	7	,	,	PUNCT
cana-654	118	8	the	the	DET
cana-654	118	9	update	update	NOUN
cana-654	118	10	gate	gate	NOUN
cana-654	118	11	(	(	PUNCT
cana-654	118	12	zt	zt	PROPN
cana-654	118	13	)	)	PUNCT
cana-654	118	14	decides	decide	VERB
cana-654	118	15	how	how	SCONJ
cana-654	118	16	much	much	ADJ
cana-654	118	17	of	of	ADP
cana-654	118	18	the	the	DET
cana-654	118	19	earlier	early	ADJ
cana-654	118	20	secret	secret	ADJ
cana-654	118	21	state	state	NOUN
cana-654	118	22	to	to	PART
cana-654	118	23	keep	keep	VERB
cana-654	118	24	for	for	ADP
cana-654	118	25	this	this	DET
cana-654	118	26	time	time	NOUN
cana-654	118	27	step	step	NOUN
cana-654	118	28	.	.	PUNCT
cana-654	119	1	the	the	DET
cana-654	119	2	candidate	candidate	NOUN
cana-654	119	3	activation	activation	NOUN
cana-654	119	4	(	(	PUNCT
cana-654	119	5	ht^	ht^	NOUN
cana-654	119	6	)	)	PUNCT
cana-654	119	7	takes	take	VERB
cana-654	119	8	the	the	DET
cana-654	119	9	current	current	ADJ
cana-654	119	10	input	input	NOUN
cana-654	119	11	and	and	CCONJ
cana-654	119	12	the	the	DET
cana-654	119	13	previous	previous	ADJ
cana-654	119	14	hidden	hidden	ADJ
cana-654	119	15	state	state	NOUN
cana-654	119	16	and	and	CCONJ
cana-654	119	17	uses	use	VERB
cana-654	119	18	them	they	PRON
cana-654	119	19	together	together	ADV
cana-654	119	20	to	to	PART
cana-654	119	21	make	make	VERB
cana-654	119	22	new	new	ADJ
cana-654	119	23	candidate	candidate	NOUN
cana-654	119	24	values	value	NOUN
cana-654	119	25	for	for	ADP
cana-654	119	26	the	the	DET
cana-654	119	27	hidden	hidden	ADJ
cana-654	119	28	state	state	NOUN
cana-654	119	29	.	.	PUNCT
cana-654	120	1	after	after	ADP
cana-654	120	2	that	that	PRON
cana-654	120	3	,	,	PUNCT
cana-654	120	4	the	the	DET
cana-654	120	5	candidate	candidate	NOUN
cana-654	120	6	activation	activation	NOUN
cana-654	120	7	and	and	CCONJ
cana-654	120	8	the	the	DET
cana-654	120	9	update	update	NOUN
cana-654	120	10	gate	gate	NOUN
cana-654	120	11	are	be	AUX
cana-654	120	12	used	use	VERB
cana-654	120	13	to	to	PART
cana-654	120	14	change	change	VERB
cana-654	120	15	the	the	DET
cana-654	120	16	hidden	hidden	ADJ
cana-654	120	17	state	state	NOUN
cana-654	120	18	(	(	PUNCT
cana-654	120	19	ht	ht	PROPN
cana-654	120	20	)	)	PUNCT
cana-654	120	21	.	.	PUNCT
cana-654	121	1	this	this	PRON
cana-654	121	2	keeps	keep	VERB
cana-654	121	3	old	old	ADJ
cana-654	121	4	information	information	NOUN
cana-654	121	5	safe	safe	ADJ
cana-654	121	6	while	while	SCONJ
cana-654	121	7	adding	add	VERB
cana-654	121	8	new	new	ADJ
cana-654	121	9	information	information	NOUN
cana-654	121	10	.	.	PUNCT
cana-654	122	1	lastly	lastly	ADV
cana-654	122	2	,	,	PUNCT
cana-654	122	3	the	the	DET
cana-654	122	4	output	output	NOUN
cana-654	122	5	(	(	PUNCT
cana-654	122	6	yt	yt	NOUN
cana-654	122	7	)	)	PUNCT
cana-654	122	8	is	be	AUX
cana-654	122	9	calculated	calculate	VERB
cana-654	122	10	using	use	VERB
cana-654	122	11	the	the	DET
cana-654	122	12	secret	secret	ADJ
cana-654	122	13	state	state	NOUN
cana-654	122	14	,	,	PUNCT
cana-654	122	15	which	which	PRON
cana-654	122	16	holds	hold	VERB
cana-654	122	17	details	detail	NOUN
cana-654	122	18	about	about	ADP
cana-654	122	19	the	the	DET
cana-654	122	20	model	model	NOUN
cana-654	122	21	's	's	PART
cana-654	122	22	present	present	ADJ
cana-654	122	23	state	state	NOUN
cana-654	122	24	and	and	CCONJ
cana-654	122	25	is	be	AUX
cana-654	122	26	a	a	DET
cana-654	122	27	key	key	ADJ
cana-654	122	28	part	part	NOUN
cana-654	122	29	of	of	ADP
cana-654	122	30	making	make	VERB
cana-654	122	31	forecasts	forecast	NOUN
cana-654	122	32	.	.	PUNCT
cana-654	123	1	the	the	DET
cana-654	123	2	model	model	NOUN
cana-654	123	3	is	be	AUX
cana-654	123	4	taught	teach	VERB
cana-654	123	5	on	on	ADP
cana-654	123	6	a	a	DET
cana-654	123	7	synthetic	synthetic	ADJ
cana-654	123	8	dataset	dataset	NOUN
cana-654	123	9	that	that	PRON
cana-654	123	10	mimics	mimic	VERB
cana-654	123	11	real	real	ADJ
cana-654	123	12	-	-	PUNCT
cana-654	123	13	life	life	NOUN
cana-654	123	14	situations	situation	NOUN
cana-654	123	15	.	.	PUNCT
cana-654	124	1	it	it	PRON
cana-654	124	2	includes	include	VERB
cana-654	124	3	information	information	NOUN
cana-654	124	4	about	about	ADP
cana-654	124	5	communications	communication	NOUN
cana-654	124	6	on	on	ADP
cana-654	124	7	applied	apply	VERB
cana-654	124	8	nonlinear	nonlinear	ADJ
cana-654	124	9	analysis	analysis	NOUN
cana-654	124	10	issn	issn	NOUN
cana-654	124	11	:	:	PUNCT
cana-654	124	12	1074	1074	NUM
cana-654	124	13	-	-	PUNCT
cana-654	124	14	133x	133x	NUM
cana-654	124	15	vol	vol	NOUN
cana-654	124	16	31	31	NUM
cana-654	124	17	no	no	NOUN
cana-654	124	18	.	.	PUNCT
cana-654	125	1	2s	2s	NUM
cana-654	125	2	(	(	PUNCT
cana-654	125	3	2024	2024	NUM
cana-654	125	4	)	)	PUNCT
cana-654	125	5	366	366	NUM
cana-654	125	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-654	125	7	where	where	SCONJ
cana-654	125	8	the	the	DET
cana-654	125	9	aav	aav	NOUN
cana-654	125	10	is	be	AUX
cana-654	125	11	and	and	CCONJ
cana-654	125	12	how	how	SCONJ
cana-654	125	13	fast	fast	ADJ
cana-654	125	14	and	and	CCONJ
cana-654	125	15	in	in	ADP
cana-654	125	16	what	what	DET
cana-654	125	17	direction	direction	NOUN
cana-654	125	18	it	it	PRON
cana-654	125	19	is	be	AUX
cana-654	125	20	going	go	VERB
cana-654	125	21	,	,	PUNCT
cana-654	125	22	along	along	ADP
cana-654	125	23	with	with	ADP
cana-654	125	24	information	information	NOUN
cana-654	125	25	about	about	ADP
cana-654	125	26	other	other	ADJ
cana-654	125	27	moving	move	VERB
cana-654	125	28	objects	object	NOUN
cana-654	125	29	.	.	PUNCT
cana-654	126	1	this	this	DET
cana-654	126	2	dataset	dataset	NOUN
cana-654	126	3	is	be	AUX
cana-654	126	4	preprocessed	preprocesse	VERB
cana-654	126	5	to	to	PART
cana-654	126	6	get	get	VERB
cana-654	126	7	the	the	DET
cana-654	126	8	important	important	ADJ
cana-654	126	9	data	datum	NOUN
cana-654	126	10	out	out	ADP
cana-654	126	11	of	of	ADP
cana-654	126	12	it	it	PRON
cana-654	126	13	and	and	CCONJ
cana-654	126	14	make	make	VERB
cana-654	126	15	the	the	DET
cana-654	126	16	input	input	NOUN
cana-654	126	17	features	feature	VERB
cana-654	126	18	more	more	ADV
cana-654	126	19	consistent	consistent	ADJ
cana-654	126	20	.	.	PUNCT
cana-654	127	1	the	the	DET
cana-654	127	2	adam	adam	PROPN
cana-654	127	3	optimizer	optimizer	NOUN
cana-654	127	4	is	be	AUX
cana-654	127	5	used	use	VERB
cana-654	127	6	to	to	PART
cana-654	127	7	make	make	VERB
cana-654	127	8	the	the	DET
cana-654	127	9	model	model	NOUN
cana-654	127	10	's	's	PART
cana-654	127	11	parameters	parameter	NOUN
cana-654	127	12	better	well	ADV
cana-654	127	13	during	during	ADP
cana-654	127	14	training	training	NOUN
cana-654	127	15	,	,	PUNCT
cana-654	127	16	and	and	CCONJ
cana-654	127	17	the	the	DET
cana-654	127	18	mean	mean	ADJ
cana-654	127	19	squared	square	VERB
cana-654	127	20	error	error	NOUN
cana-654	127	21	(	(	PUNCT
cana-654	127	22	mse	mse	NOUN
cana-654	127	23	)	)	PUNCT
cana-654	127	24	loss	loss	NOUN
cana-654	127	25	function	function	NOUN
cana-654	127	26	is	be	AUX
cana-654	127	27	kept	keep	VERB
cana-654	127	28	as	as	ADV
cana-654	127	29	low	low	ADJ
cana-654	127	30	as	as	ADP
cana-654	127	31	possible	possible	ADJ
cana-654	127	32	.	.	PUNCT
cana-654	128	1	the	the	DET
cana-654	128	2	model	model	NOUN
cana-654	128	3	's	's	PART
cana-654	128	4	success	success	NOUN
cana-654	128	5	is	be	AUX
cana-654	128	6	judged	judge	VERB
cana-654	128	7	by	by	ADP
cana-654	128	8	a	a	DET
cana-654	128	9	number	number	NOUN
cana-654	128	10	of	of	ADP
cana-654	128	11	different	different	ADJ
cana-654	128	12	measures	measure	NOUN
cana-654	128	13	.	.	PUNCT
cana-654	129	1	the	the	DET
cana-654	129	2	model	model	NOUN
cana-654	129	3	's	's	PART
cana-654	129	4	ability	ability	NOUN
cana-654	129	5	to	to	PART
cana-654	129	6	avoid	avoid	VERB
cana-654	129	7	crashes	crash	NOUN
cana-654	129	8	and	and	CCONJ
cana-654	129	9	correctly	correctly	ADV
cana-654	129	10	guess	guess	VERB
cana-654	129	11	the	the	DET
cana-654	129	12	places	place	NOUN
cana-654	129	13	of	of	ADP
cana-654	129	14	moving	move	VERB
cana-654	129	15	objects	object	NOUN
cana-654	129	16	are	be	AUX
cana-654	129	17	shown	show	VERB
cana-654	129	18	by	by	ADP
cana-654	129	19	the	the	DET
cana-654	129	20	number	number	NOUN
cana-654	129	21	of	of	ADP
cana-654	129	22	collisions	collision	NOUN
cana-654	129	23	and	and	CCONJ
cana-654	129	24	prediction	prediction	NOUN
cana-654	129	25	accuracy	accuracy	NOUN
cana-654	129	26	.	.	PUNCT
cana-654	130	1	it	it	PRON
cana-654	130	2	is	be	AUX
cana-654	130	3	also	also	ADV
cana-654	130	4	checked	check	VERB
cana-654	130	5	how	how	SCONJ
cana-654	130	6	fast	fast	ADV
cana-654	130	7	the	the	DET
cana-654	130	8	computer	computer	NOUN
cana-654	130	9	is	be	AUX
cana-654	130	10	to	to	PART
cana-654	130	11	see	see	VERB
cana-654	130	12	how	how	SCONJ
cana-654	130	13	quickly	quickly	ADV
cana-654	130	14	the	the	DET
cana-654	130	15	model	model	NOUN
cana-654	130	16	can	can	AUX
cana-654	130	17	make	make	VERB
cana-654	130	18	estimates	estimate	NOUN
cana-654	130	19	,	,	PUNCT
cana-654	130	20	which	which	PRON
cana-654	130	21	is	be	AUX
cana-654	130	22	very	very	ADV
cana-654	130	23	important	important	ADJ
cana-654	130	24	for	for	ADP
cana-654	130	25	real	real	ADJ
cana-654	130	26	-	-	PUNCT
cana-654	130	27	time	time	NOUN
cana-654	130	28	uses	use	NOUN
cana-654	130	29	.	.	PUNCT
cana-654	131	1	the	the	DET
cana-654	131	2	gru	gru	NOUN
cana-654	131	3	-	-	PUNCT
cana-654	131	4	based	base	VERB
cana-654	131	5	prediction	prediction	NOUN
cana-654	131	6	model	model	NOUN
cana-654	131	7	shows	show	VERB
cana-654	131	8	promise	promise	NOUN
cana-654	131	9	in	in	ADP
cana-654	131	10	making	make	VERB
cana-654	131	11	aav	aav	NOUN
cana-654	131	12	processes	process	VERB
cana-654	131	13	safer	safe	ADJ
cana-654	131	14	and	and	CCONJ
cana-654	131	15	more	more	ADV
cana-654	131	16	efficient	efficient	ADJ
cana-654	131	17	in	in	ADP
cana-654	131	18	changing	change	VERB
cana-654	131	19	settings	setting	NOUN
cana-654	131	20	.	.	PUNCT
cana-654	132	1	it	it	PRON
cana-654	132	2	could	could	AUX
cana-654	132	3	be	be	AUX
cana-654	132	4	used	use	VERB
cana-654	132	5	in	in	ADP
cana-654	132	6	many	many	ADJ
cana-654	132	7	real	real	ADJ
cana-654	132	8	-	-	PUNCT
cana-654	132	9	life	life	NOUN
cana-654	132	10	situations	situation	NOUN
cana-654	132	11	.	.	PUNCT
cana-654	133	1	model	model	NOUN
cana-654	133	2	:	:	PUNCT
cana-654	133	3	1	1	X
cana-654	133	4	.	.	X
cana-654	133	5	reset	reset	NOUN
cana-654	133	6	gate	gate	NOUN
cana-654	133	7	(	(	PUNCT
cana-654	133	8	rt	rt	PROPN
cana-654	133	9	)	)	PUNCT
cana-654	133	10	𝑟𝑡	𝑟𝑡	PROPN
cana-654	133	11	=	=	PUNCT
cana-654	133	12	𝜎(𝑊𝑟	𝜎(𝑊𝑟	X
cana-654	133	13	⋅	⋅	X
cana-654	134	1	[	[	X
cana-654	134	2	ℎ𝑡	ℎ𝑡	NOUN
cana-654	134	3	−	−	PROPN
cana-654	134	4	1	1	NUM
cana-654	134	5	,	,	PUNCT
cana-654	134	6	𝑥𝑡	𝑥𝑡	ADP
cana-654	134	7	]	]	X
cana-654	134	8	+	+	CCONJ
cana-654	134	9	𝑏𝑟	𝑏𝑟	NOUN
cana-654	134	10	)	)	PUNCT
cana-654	134	11	•	•	NUM
cana-654	134	12	where	where	SCONJ
cana-654	134	13	σ	σ	PROPN
cana-654	134	14	is	be	AUX
cana-654	134	15	the	the	DET
cana-654	134	16	sigmoid	sigmoid	NOUN
cana-654	134	17	activation	activation	NOUN
cana-654	134	18	function	function	NOUN
cana-654	134	19	,	,	PUNCT
cana-654	134	20	and	and	CCONJ
cana-654	134	21	wr	wr	PROPN
cana-654	134	22	and	and	CCONJ
cana-654	134	23	br	br	PROPN
cana-654	134	24	are	be	AUX
cana-654	134	25	the	the	DET
cana-654	134	26	weight	weight	NOUN
cana-654	134	27	matrix	matrix	NOUN
cana-654	134	28	and	and	CCONJ
cana-654	134	29	bias	bias	NOUN
cana-654	134	30	for	for	ADP
cana-654	134	31	the	the	DET
cana-654	134	32	reset	reset	NOUN
cana-654	134	33	gate	gate	NOUN
cana-654	134	34	,	,	PUNCT
cana-654	134	35	respectively	respectively	ADV
cana-654	134	36	.	.	PUNCT
cana-654	135	1	2	2	X
cana-654	135	2	.	.	X
cana-654	135	3	update	update	NOUN
cana-654	135	4	gate	gate	PROPN
cana-654	135	5	(	(	PUNCT
cana-654	135	6	zt	zt	PROPN
cana-654	135	7	):	):	PUNCT
cana-654	135	8	𝑧𝑡	𝑧𝑡	PROPN
cana-654	135	9	=	=	SYM
cana-654	135	10	𝜎(𝑊𝑧	𝜎(𝑊𝑧	NOUN
cana-654	135	11	⋅	⋅	PROPN
cana-654	136	1	[	[	X
cana-654	136	2	ℎ𝑡	ℎ𝑡	NOUN
cana-654	136	3	−	−	PROPN
cana-654	136	4	1	1	NUM
cana-654	136	5	,	,	PUNCT
cana-654	136	6	𝑥𝑡	𝑥𝑡	ADP
cana-654	136	7	]	]	X
cana-654	136	8	+	+	X
cana-654	136	9	𝑏𝑧	𝑏𝑧	X
cana-654	136	10	)	)	PUNCT
cana-654	136	11	•	•	NUM
cana-654	136	12	where	where	SCONJ
cana-654	136	13	wz	wz	NOUN
cana-654	136	14	and	and	CCONJ
cana-654	136	15	bz	bz	PROPN
cana-654	136	16	are	be	AUX
cana-654	136	17	the	the	DET
cana-654	136	18	weight	weight	NOUN
cana-654	136	19	matrix	matrix	NOUN
cana-654	136	20	and	and	CCONJ
cana-654	136	21	bias	bias	NOUN
cana-654	136	22	for	for	ADP
cana-654	136	23	the	the	DET
cana-654	136	24	update	update	NOUN
cana-654	136	25	gate	gate	NOUN
cana-654	136	26	,	,	PUNCT
cana-654	136	27	respectively	respectively	ADV
cana-654	136	28	.	.	PUNCT
cana-654	137	1	3	3	X
cana-654	137	2	.	.	NOUN
cana-654	137	3	candidate	candidate	NOUN
cana-654	137	4	activation	activation	NOUN
cana-654	137	5	ℎ𝑡	ℎ𝑡	VERB
cana-654	137	6	∼=	∼=	PROPN
cana-654	137	7	𝑡𝑎𝑛ℎ(𝑊	𝑡𝑎𝑛ℎ(𝑊	NOUN
cana-654	137	8	⋅	⋅	PROPN
cana-654	138	1	[	[	X
cana-654	138	2	𝑟𝑡	𝑟𝑡	PROPN
cana-654	138	3	⊙	⊙	PROPN
cana-654	138	4	ℎ𝑡	ℎ𝑡	VERB
cana-654	138	5	−	−	PROPN
cana-654	138	6	1	1	NUM
cana-654	138	7	,	,	PUNCT
cana-654	138	8	𝑥𝑡	𝑥𝑡	ADP
cana-654	138	9	]	]	X
cana-654	139	1	+	+	CCONJ
cana-654	139	2	𝑏	𝑏	NOUN
cana-654	139	3	)	)	PUNCT
cana-654	139	4	where	where	SCONJ
cana-654	139	5	⊙⊙	⊙⊙	PROPN
cana-654	139	6	denotes	denote	VERB
cana-654	139	7	element	element	ADJ
cana-654	139	8	-	-	PUNCT
cana-654	139	9	wise	wise	ADJ
cana-654	139	10	multiplication	multiplication	NOUN
cana-654	139	11	,	,	PUNCT
cana-654	139	12	and	and	CCONJ
cana-654	139	13	w	w	NOUN
cana-654	139	14	and	and	CCONJ
cana-654	139	15	b	b	NOUN
cana-654	139	16	are	be	AUX
cana-654	139	17	the	the	DET
cana-654	139	18	weight	weight	NOUN
cana-654	139	19	matrix	matrix	NOUN
cana-654	139	20	and	and	CCONJ
cana-654	139	21	bias	bias	NOUN
cana-654	139	22	for	for	ADP
cana-654	139	23	the	the	DET
cana-654	139	24	candidate	candidate	NOUN
cana-654	139	25	activation	activation	NOUN
cana-654	139	26	,	,	PUNCT
cana-654	139	27	respectively	respectively	ADV
cana-654	139	28	.	.	PUNCT
cana-654	140	1	4	4	X
cana-654	140	2	.	.	X
cana-654	140	3	hidden	hide	VERB
cana-654	140	4	state	state	NOUN
cana-654	140	5	(	(	PUNCT
cana-654	140	6	ht	ht	PROPN
cana-654	140	7	):	):	PUNCT
cana-654	140	8	ℎ𝑡	ℎ𝑡	NOUN
cana-654	140	9	=	=	SYM
cana-654	140	10	𝑧𝑡	𝑧𝑡	PRON
cana-654	140	11	⊙	⊙	NOUN
cana-654	140	12	ℎ𝑡	ℎ𝑡	VERB
cana-654	140	13	−	−	PROPN
cana-654	140	14	1	1	NUM
cana-654	141	1	+	+	CCONJ
cana-654	141	2	(	(	PUNCT
cana-654	141	3	1	1	NUM
cana-654	141	4	−	−	PROPN
cana-654	141	5	𝑧𝑡	𝑧𝑡	X
cana-654	141	6	)	)	PUNCT
cana-654	141	7	⊙	⊙	NOUN
cana-654	141	8	ℎ𝑡	ℎ𝑡	VERB
cana-654	141	9	∼	∼	NOUN
cana-654	141	10	5	5	NUM
cana-654	141	11	.	.	PUNCT
cana-654	142	1	output	output	NOUN
cana-654	142	2	(	(	PUNCT
cana-654	142	3	yt	yt	PROPN
cana-654	142	4	):	):	PUNCT
cana-654	142	5	𝑦𝑡	𝑦𝑡	PROPN
cana-654	142	6	=	=	SYM
cana-654	142	7	𝑉	𝑉	PROPN
cana-654	142	8	⋅	⋅	PROPN
cana-654	142	9	ℎ𝑡	ℎ𝑡	NOUN
cana-654	142	10	+	+	CCONJ
cana-654	142	11	𝑐	𝑐	NOUN
cana-654	142	12	•	•	ADV
cana-654	142	13	where	where	SCONJ
cana-654	142	14	v	v	NOUN
cana-654	142	15	is	be	AUX
cana-654	142	16	the	the	DET
cana-654	142	17	weight	weight	NOUN
cana-654	142	18	matrix	matrix	NOUN
cana-654	142	19	and	and	CCONJ
cana-654	142	20	c	c	NOUN
cana-654	142	21	is	be	AUX
cana-654	142	22	the	the	DET
cana-654	142	23	bias	bias	NOUN
cana-654	142	24	for	for	ADP
cana-654	142	25	the	the	DET
cana-654	142	26	output	output	NOUN
cana-654	142	27	layer	layer	NOUN
cana-654	142	28	.	.	PUNCT
cana-654	143	1	the	the	DET
cana-654	143	2	gru	gru	NOUN
cana-654	143	3	model	model	NOUN
cana-654	143	4	learns	learn	VERB
cana-654	143	5	the	the	DET
cana-654	143	6	parameters	parameter	NOUN
cana-654	143	7	wr	wr	PROPN
cana-654	143	8	,	,	PUNCT
cana-654	143	9	br	br	PROPN
cana-654	143	10	,	,	PUNCT
cana-654	143	11	wz	wz	PROPN
cana-654	143	12	,	,	PUNCT
cana-654	143	13	bz	bz	PROPN
cana-654	143	14	,	,	PUNCT
cana-654	143	15	w	w	PROPN
cana-654	143	16	,	,	PUNCT
cana-654	143	17	b	b	PROPN
cana-654	143	18	,	,	PUNCT
cana-654	143	19	v	v	NOUN
cana-654	143	20	,	,	PUNCT
cana-654	143	21	and	and	CCONJ
cana-654	143	22	c	c	X
cana-654	143	23	through	through	ADP
cana-654	143	24	backpropagation	backpropagation	NOUN
cana-654	143	25	and	and	CCONJ
cana-654	143	26	gradient	gradient	ADJ
cana-654	143	27	descent	descent	NOUN
cana-654	143	28	to	to	PART
cana-654	143	29	minimize	minimize	VERB
cana-654	143	30	the	the	DET
cana-654	143	31	prediction	prediction	NOUN
cana-654	143	32	error	error	NOUN
cana-654	143	33	.	.	PUNCT
cana-654	144	1	d.	d.	NOUN
cana-654	144	2	training	training	NOUN
cana-654	144	3	procedure	procedure	NOUN
cana-654	144	4	:	:	PUNCT
cana-654	144	5	•	•	X
cana-654	144	6	we	we	PRON
cana-654	144	7	made	make	VERB
cana-654	144	8	sure	sure	ADJ
cana-654	144	9	that	that	SCONJ
cana-654	144	10	each	each	DET
cana-654	144	11	set	set	NOUN
cana-654	144	12	of	of	ADP
cana-654	144	13	data	datum	NOUN
cana-654	144	14	in	in	ADP
cana-654	144	15	the	the	DET
cana-654	144	16	dataset	dataset	NOUN
cana-654	144	17	is	be	AUX
cana-654	144	18	a	a	DET
cana-654	144	19	good	good	ADJ
cana-654	144	20	representation	representation	NOUN
cana-654	144	21	of	of	ADP
cana-654	144	22	the	the	DET
cana-654	144	23	whole	whole	ADJ
cana-654	144	24	set	set	NOUN
cana-654	144	25	by	by	ADP
cana-654	144	26	dividing	divide	VERB
cana-654	144	27	it	it	PRON
cana-654	144	28	into	into	ADP
cana-654	144	29	training	training	NOUN
cana-654	144	30	,	,	PUNCT
cana-654	144	31	validation	validation	NOUN
cana-654	144	32	,	,	PUNCT
cana-654	144	33	and	and	CCONJ
cana-654	144	34	test	test	NOUN
cana-654	144	35	sets	set	NOUN
cana-654	144	36	.	.	PUNCT
cana-654	145	1	•	•	NUM
cana-654	145	2	it	it	PRON
cana-654	145	3	learned	learn	VERB
cana-654	145	4	from	from	ADP
cana-654	145	5	the	the	DET
cana-654	145	6	training	training	NOUN
cana-654	145	7	set	set	NOUN
cana-654	145	8	,	,	PUNCT
cana-654	145	9	and	and	CCONJ
cana-654	145	10	to	to	PART
cana-654	145	11	keep	keep	VERB
cana-654	145	12	it	it	PRON
cana-654	145	13	from	from	ADP
cana-654	145	14	fitting	fit	VERB
cana-654	145	15	too	too	ADV
cana-654	145	16	well	well	ADV
cana-654	145	17	,	,	PUNCT
cana-654	145	18	the	the	DET
cana-654	145	19	validation	validation	NOUN
cana-654	145	20	set	set	NOUN
cana-654	145	21	was	be	AUX
cana-654	145	22	used	use	VERB
cana-654	145	23	to	to	PART
cana-654	145	24	tune	tune	VERB
cana-654	145	25	the	the	DET
cana-654	145	26	gru	gru	NOUN
cana-654	145	27	model	model	NOUN
cana-654	145	28	's	's	PART
cana-654	145	29	hyperparameters	hyperparameter	NOUN
cana-654	146	1	[	[	X
cana-654	146	2	8	8	NUM
cana-654	146	3	]	]	PUNCT
cana-654	146	4	.	.	PUNCT
cana-654	147	1	•	•	NOUN
cana-654	147	2	the	the	DET
cana-654	147	3	loss	loss	NOUN
cana-654	147	4	function	function	NOUN
cana-654	147	5	was	be	AUX
cana-654	147	6	mean	mean	VERB
cana-654	147	7	squared	square	VERB
cana-654	147	8	error	error	NOUN
cana-654	147	9	(	(	PUNCT
cana-654	147	10	mse	mse	NOUN
cana-654	147	11	)	)	PUNCT
cana-654	147	12	,	,	PUNCT
cana-654	147	13	and	and	CCONJ
cana-654	147	14	the	the	DET
cana-654	147	15	adam	adam	PROPN
cana-654	147	16	optimizer	optimizer	NOUN
cana-654	147	17	was	be	AUX
cana-654	147	18	used	use	VERB
cana-654	147	19	to	to	PART
cana-654	147	20	train	train	VERB
cana-654	147	21	the	the	DET
cana-654	147	22	model	model	NOUN
cana-654	147	23	.	.	PUNCT
cana-654	148	1	communications	communication	NOUN
cana-654	148	2	on	on	ADP
cana-654	148	3	applied	apply	VERB
cana-654	148	4	nonlinear	nonlinear	ADJ
cana-654	148	5	analysis	analysis	NOUN
cana-654	148	6	issn	issn	NOUN
cana-654	148	7	:	:	PUNCT
cana-654	148	8	1074	1074	NUM
cana-654	148	9	-	-	PUNCT
cana-654	148	10	133x	133x	NUM
cana-654	148	11	vol	vol	NOUN
cana-654	148	12	31	31	NUM
cana-654	148	13	no	no	NOUN
cana-654	148	14	.	.	PUNCT
cana-654	149	1	2s	2s	NUM
cana-654	149	2	(	(	PUNCT
cana-654	149	3	2024	2024	NUM
cana-654	149	4	)	)	PUNCT
cana-654	149	5	367	367	NUM
cana-654	150	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-654	150	2	e.	e.	PROPN
cana-654	150	3	evaluation	evaluation	NOUN
cana-654	150	4	metrics	metric	NOUN
cana-654	150	5	:	:	PUNCT
cana-654	150	6	•	•	X
cana-654	150	7	we	we	PRON
cana-654	150	8	judged	judge	VERB
cana-654	150	9	the	the	DET
cana-654	150	10	model	model	NOUN
cana-654	150	11	's	's	PART
cana-654	150	12	success	success	NOUN
cana-654	150	13	by	by	ADP
cana-654	150	14	a	a	DET
cana-654	150	15	number	number	NOUN
cana-654	150	16	of	of	ADP
cana-654	150	17	factors	factor	NOUN
cana-654	150	18	,	,	PUNCT
cana-654	150	19	such	such	ADJ
cana-654	150	20	as	as	ADP
cana-654	150	21	the	the	DET
cana-654	150	22	number	number	NOUN
cana-654	150	23	of	of	ADP
cana-654	150	24	collisions	collision	NOUN
cana-654	150	25	,	,	PUNCT
cana-654	150	26	the	the	DET
cana-654	150	27	accuracy	accuracy	NOUN
cana-654	150	28	of	of	ADP
cana-654	150	29	the	the	DET
cana-654	150	30	predictions	prediction	NOUN
cana-654	150	31	,	,	PUNCT
cana-654	150	32	and	and	CCONJ
cana-654	150	33	how	how	SCONJ
cana-654	150	34	quickly	quickly	ADV
cana-654	150	35	the	the	DET
cana-654	150	36	model	model	NOUN
cana-654	150	37	could	could	AUX
cana-654	150	38	be	be	AUX
cana-654	150	39	run	run	VERB
cana-654	150	40	.	.	PUNCT
cana-654	151	1	•	•	NUM
cana-654	151	2	the	the	DET
cana-654	151	3	number	number	NOUN
cana-654	151	4	of	of	ADP
cana-654	151	5	simulations	simulation	NOUN
cana-654	151	6	in	in	ADP
cana-654	151	7	which	which	PRON
cana-654	151	8	the	the	DET
cana-654	151	9	aav	aav	NOUN
cana-654	151	10	hit	hit	VERB
cana-654	151	11	an	an	DET
cana-654	151	12	object	object	NOUN
cana-654	151	13	is	be	AUX
cana-654	151	14	shown	show	VERB
cana-654	151	15	by	by	ADP
cana-654	151	16	the	the	DET
cana-654	151	17	crash	crash	NOUN
cana-654	151	18	rate	rate	NOUN
cana-654	151	19	.	.	PUNCT
cana-654	152	1	•	•	NUM
cana-654	152	2	prediction	prediction	NOUN
cana-654	152	3	accuracy	accuracy	NOUN
cana-654	152	4	measures	measure	NOUN
cana-654	152	5	how	how	SCONJ
cana-654	152	6	closely	closely	ADV
cana-654	152	7	the	the	DET
cana-654	152	8	places	place	NOUN
cana-654	152	9	of	of	ADP
cana-654	152	10	objects	object	NOUN
cana-654	152	11	that	that	PRON
cana-654	152	12	were	be	AUX
cana-654	152	13	expected	expect	VERB
cana-654	152	14	match	match	VERB
cana-654	152	15	up	up	ADP
cana-654	152	16	with	with	ADP
cana-654	152	17	where	where	SCONJ
cana-654	152	18	they	they	PRON
cana-654	152	19	actually	actually	ADV
cana-654	152	20	are	be	AUX
cana-654	152	21	.	.	PUNCT
cana-654	153	1	•	•	NUM
cana-654	153	2	computing	compute	VERB
cana-654	153	3	speed	speed	NOUN
cana-654	153	4	measures	measure	NOUN
cana-654	153	5	how	how	SCONJ
cana-654	153	6	quickly	quickly	ADV
cana-654	153	7	the	the	DET
cana-654	153	8	model	model	NOUN
cana-654	153	9	can	can	AUX
cana-654	153	10	make	make	VERB
cana-654	153	11	predictions	prediction	NOUN
cana-654	153	12	,	,	PUNCT
cana-654	153	13	which	which	PRON
cana-654	153	14	is	be	AUX
cana-654	153	15	very	very	ADV
cana-654	153	16	important	important	ADJ
cana-654	153	17	for	for	ADP
cana-654	153	18	real	real	ADJ
cana-654	153	19	-	-	PUNCT
cana-654	153	20	time	time	NOUN
cana-654	153	21	uses	use	NOUN
cana-654	153	22	.	.	PUNCT
cana-654	154	1	figure	figure	VERB
cana-654	154	2	3	3	NUM
cana-654	154	3	:	:	PUNCT
cana-654	154	4	illustrating	illustrate	VERB
cana-654	154	5	gru	gru	NOUN
cana-654	154	6	-	-	PUNCT
cana-654	154	7	based	base	VERB
cana-654	154	8	predictive	predictive	ADJ
cana-654	154	9	modeling	modeling	NOUN
cana-654	154	10	for	for	ADP
cana-654	154	11	obstacle	obstacle	NOUN
cana-654	154	12	avoidance	avoidance	NOUN
cana-654	154	13	in	in	ADP
cana-654	154	14	autonomous	autonomous	ADJ
cana-654	154	15	aerial	aerial	ADJ
cana-654	154	16	vehicles	vehicle	NOUN
cana-654	154	17	:	:	PUNCT
cana-654	154	18	4	4	X
cana-654	154	19	.	.	NOUN
cana-654	154	20	result	result	NOUN
cana-654	154	21	and	and	CCONJ
cana-654	154	22	discussion	discussion	NOUN
cana-654	154	23	a.	a.	NOUN
cana-654	154	24	performance	performance	NOUN
cana-654	154	25	evaluation	evaluation	NOUN
cana-654	154	26	:	:	PUNCT
cana-654	154	27	the	the	DET
cana-654	154	28	point	point	NOUN
cana-654	154	29	of	of	ADP
cana-654	154	30	our	our	PRON
cana-654	154	31	study	study	NOUN
cana-654	154	32	was	be	AUX
cana-654	154	33	to	to	PART
cana-654	154	34	see	see	VERB
cana-654	154	35	how	how	SCONJ
cana-654	154	36	well	well	ADV
cana-654	154	37	the	the	DET
cana-654	154	38	gated	gate	VERB
cana-654	154	39	recurrent	recurrent	ADJ
cana-654	154	40	unit	unit	NOUN
cana-654	154	41	(	(	PUNCT
cana-654	154	42	gru	gru	NOUN
cana-654	154	43	)	)	PUNCT
cana-654	154	44	based	base	VERB
cana-654	154	45	prediction	prediction	NOUN
cana-654	154	46	model	model	NOUN
cana-654	154	47	worked	work	VERB
cana-654	154	48	for	for	ADP
cana-654	154	49	autonomous	autonomous	ADJ
cana-654	154	50	aerial	aerial	ADJ
cana-654	154	51	vehicles	vehicle	NOUN
cana-654	154	52	(	(	PUNCT
cana-654	154	53	aavs	aavs	ADV
cana-654	154	54	)	)	PUNCT
cana-654	154	55	to	to	PART
cana-654	154	56	avoid	avoid	VERB
cana-654	154	57	moving	move	VERB
cana-654	154	58	obstacles	obstacle	NOUN
cana-654	154	59	.	.	PUNCT
cana-654	155	1	three	three	NUM
cana-654	155	2	main	main	ADJ
cana-654	155	3	things	thing	NOUN
cana-654	155	4	were	be	AUX
cana-654	155	5	looked	look	VERB
cana-654	155	6	at	at	ADP
cana-654	155	7	in	in	ADP
cana-654	155	8	the	the	DET
cana-654	155	9	evaluation	evaluation	NOUN
cana-654	155	10	:	:	PUNCT
cana-654	155	11	the	the	DET
cana-654	155	12	rate	rate	NOUN
cana-654	155	13	of	of	ADP
cana-654	155	14	collisions	collision	NOUN
cana-654	155	15	,	,	PUNCT
cana-654	155	16	the	the	DET
cana-654	155	17	accuracy	accuracy	NOUN
cana-654	155	18	of	of	ADP
cana-654	155	19	the	the	DET
cana-654	155	20	predictions	prediction	NOUN
cana-654	155	21	,	,	PUNCT
cana-654	155	22	and	and	CCONJ
cana-654	155	23	the	the	DET
cana-654	155	24	speed	speed	NOUN
cana-654	155	25	of	of	ADP
cana-654	155	26	the	the	DET
cana-654	155	27	computing	computing	NOUN
cana-654	155	28	[	[	X
cana-654	155	29	10	10	NUM
cana-654	155	30	]	]	PUNCT
cana-654	155	31	.	.	PUNCT
cana-654	156	1	the	the	DET
cana-654	156	2	impact	impact	NOUN
cana-654	156	3	rate	rate	NOUN
cana-654	156	4	,	,	PUNCT
cana-654	156	5	on	on	ADP
cana-654	156	6	the	the	DET
cana-654	156	7	other	other	ADJ
cana-654	156	8	hand	hand	NOUN
cana-654	156	9	,	,	PUNCT
cana-654	156	10	shows	show	VERB
cana-654	156	11	what	what	DET
cana-654	156	12	percentage	percentage	NOUN
cana-654	156	13	of	of	ADP
cana-654	156	14	scenarios	scenario	NOUN
cana-654	156	15	the	the	DET
cana-654	156	16	aav	aav	NOUN
cana-654	156	17	hit	hit	VERB
cana-654	156	18	an	an	DET
cana-654	156	19	object	object	NOUN
cana-654	156	20	.	.	PUNCT
cana-654	157	1	in	in	ADP
cana-654	157	2	all	all	PRON
cana-654	157	3	of	of	ADP
cana-654	157	4	the	the	DET
cana-654	157	5	tests	test	NOUN
cana-654	157	6	we	we	PRON
cana-654	157	7	did	do	VERB
cana-654	157	8	,	,	PUNCT
cana-654	157	9	our	our	PRON
cana-654	157	10	gru	gru	NOUN
cana-654	157	11	-	-	PUNCT
cana-654	157	12	based	base	VERB
cana-654	157	13	model	model	NOUN
cana-654	157	14	had	have	VERB
cana-654	157	15	a	a	DET
cana-654	157	16	crash	crash	NOUN
cana-654	157	17	rate	rate	NOUN
cana-654	157	18	of	of	ADP
cana-654	157	19	less	less	ADJ
cana-654	157	20	than	than	ADP
cana-654	157	21	5	5	NUM
cana-654	157	22	%	%	NOUN
cana-654	157	23	,	,	PUNCT
cana-654	157	24	which	which	PRON
cana-654	157	25	shows	show	VERB
cana-654	157	26	that	that	SCONJ
cana-654	157	27	it	it	PRON
cana-654	157	28	is	be	AUX
cana-654	157	29	good	good	ADJ
cana-654	157	30	at	at	ADP
cana-654	157	31	avoiding	avoid	VERB
cana-654	157	32	collisions	collision	NOUN
cana-654	157	33	with	with	ADP
cana-654	157	34	moving	move	VERB
cana-654	157	35	objects	object	NOUN
cana-654	157	36	.	.	PUNCT
cana-654	158	1	this	this	DET
cana-654	158	2	result	result	NOUN
cana-654	158	3	was	be	AUX
cana-654	158	4	better	well	ADJ
cana-654	158	5	than	than	ADP
cana-654	158	6	standard	standard	ADJ
cana-654	158	7	rule	rule	NOUN
cana-654	158	8	-	-	PUNCT
cana-654	158	9	based	base	VERB
cana-654	158	10	methods	method	NOUN
cana-654	158	11	and	and	CCONJ
cana-654	158	12	other	other	ADJ
cana-654	158	13	machine	machine	NOUN
cana-654	158	14	learning	learn	VERB
cana-654	158	15	techniques	technique	NOUN
cana-654	158	16	.	.	PUNCT
cana-654	159	1	this	this	PRON
cana-654	159	2	shows	show	VERB
cana-654	159	3	that	that	SCONJ
cana-654	159	4	our	our	PRON
cana-654	159	5	approach	approach	NOUN
cana-654	159	6	is	be	AUX
cana-654	159	7	the	the	DET
cana-654	159	8	best	good	ADJ
cana-654	159	9	way	way	NOUN
cana-654	159	10	to	to	PART
cana-654	159	11	make	make	VERB
cana-654	159	12	sure	sure	ADJ
cana-654	159	13	that	that	SCONJ
cana-654	159	14	aav	aav	NOUN
cana-654	159	15	processes	process	NOUN
cana-654	159	16	are	be	AUX
cana-654	159	17	safe	safe	ADJ
cana-654	159	18	.	.	PUNCT
cana-654	160	1	second	second	ADJ
cana-654	160	2	,	,	PUNCT
cana-654	160	3	prediction	prediction	NOUN
cana-654	160	4	accuracy	accuracy	NOUN
cana-654	160	5	checks	check	NOUN
cana-654	160	6	how	how	SCONJ
cana-654	160	7	well	well	ADV
cana-654	160	8	the	the	DET
cana-654	160	9	places	place	NOUN
cana-654	160	10	of	of	ADP
cana-654	160	11	objects	object	NOUN
cana-654	160	12	that	that	PRON
cana-654	160	13	were	be	AUX
cana-654	160	14	expected	expect	VERB
cana-654	160	15	match	match	VERB
cana-654	160	16	up	up	ADP
cana-654	160	17	with	with	ADP
cana-654	160	18	where	where	SCONJ
cana-654	160	19	they	they	PRON
cana-654	160	20	actually	actually	ADV
cana-654	160	21	are	be	AUX
cana-654	160	22	.	.	PUNCT
cana-654	161	1	our	our	PRON
cana-654	161	2	model	model	NOUN
cana-654	161	3	made	make	VERB
cana-654	161	4	predictions	prediction	NOUN
cana-654	161	5	that	that	PRON
cana-654	161	6	were	be	AUX
cana-654	161	7	more	more	ADJ
cana-654	161	8	than	than	ADP
cana-654	161	9	90	90	NUM
cana-654	161	10	%	%	NOUN
cana-654	161	11	accurate	accurate	ADJ
cana-654	161	12	,	,	PUNCT
cana-654	161	13	which	which	PRON
cana-654	161	14	shows	show	VERB
cana-654	161	15	that	that	SCONJ
cana-654	161	16	it	it	PRON
cana-654	161	17	can	can	AUX
cana-654	161	18	correctly	correctly	ADV
cana-654	161	19	guess	guess	VERB
cana-654	161	20	where	where	SCONJ
cana-654	161	21	moving	move	VERB
cana-654	161	22	hurdles	hurdle	NOUN
cana-654	161	23	will	will	AUX
cana-654	161	24	be	be	AUX
cana-654	161	25	in	in	ADP
cana-654	161	26	the	the	DET
cana-654	161	27	future	future	NOUN
cana-654	161	28	.	.	PUNCT
cana-654	162	1	this	this	DET
cana-654	162	2	high	high	ADJ
cana-654	162	3	level	level	NOUN
cana-654	162	4	of	of	ADP
cana-654	162	5	accuracy	accuracy	NOUN
cana-654	162	6	in	in	ADP
cana-654	162	7	predictions	prediction	NOUN
cana-654	162	8	is	be	AUX
cana-654	162	9	very	very	ADV
cana-654	162	10	important	important	ADJ
cana-654	162	11	for	for	SCONJ
cana-654	162	12	the	the	DET
cana-654	162	13	aav	aav	NOUN
cana-654	162	14	to	to	PART
cana-654	162	15	be	be	AUX
cana-654	162	16	able	able	ADJ
cana-654	162	17	to	to	PART
cana-654	162	18	guess	guess	VERB
cana-654	162	19	how	how	SCONJ
cana-654	162	20	objects	object	NOUN
cana-654	162	21	will	will	AUX
cana-654	162	22	move	move	VERB
cana-654	162	23	and	and	CCONJ
cana-654	162	24	plan	plan	VERB
cana-654	162	25	its	its	PRON
cana-654	162	26	path	path	NOUN
cana-654	162	27	so	so	SCONJ
cana-654	162	28	that	that	SCONJ
cana-654	162	29	it	it	PRON
cana-654	162	30	does	do	AUX
cana-654	162	31	n't	not	PART
cana-654	162	32	run	run	VERB
cana-654	162	33	into	into	ADP
cana-654	162	34	them	they	PRON
cana-654	162	35	.	.	PUNCT
cana-654	163	1	third	third	ADJ
cana-654	163	2	,	,	PUNCT
cana-654	163	3	computational	computational	ADJ
cana-654	163	4	efficiency	efficiency	NOUN
cana-654	163	5	checks	check	NOUN
cana-654	163	6	how	how	SCONJ
cana-654	163	7	fast	fast	ADV
cana-654	163	8	the	the	DET
cana-654	163	9	model	model	NOUN
cana-654	163	10	can	can	AUX
cana-654	163	11	make	make	VERB
cana-654	163	12	estimates	estimate	NOUN
cana-654	163	13	,	,	PUNCT
cana-654	163	14	which	which	PRON
cana-654	163	15	is	be	AUX
cana-654	163	16	very	very	ADV
cana-654	163	17	important	important	ADJ
cana-654	163	18	for	for	ADP
cana-654	163	19	real	real	ADJ
cana-654	163	20	-	-	PUNCT
cana-654	163	21	time	time	NOUN
cana-654	163	22	uses	use	NOUN
cana-654	163	23	.	.	PUNCT
cana-654	164	1	the	the	DET
cana-654	164	2	average	average	ADJ
cana-654	164	3	forecast	forecast	NOUN
cana-654	164	4	time	time	NOUN
cana-654	164	5	for	for	ADP
cana-654	164	6	our	our	PRON
cana-654	164	7	model	model	NOUN
cana-654	164	8	was	be	AUX
cana-654	164	9	less	less	ADJ
cana-654	164	10	than	than	ADP
cana-654	164	11	10	10	NUM
cana-654	164	12	milliseconds	millisecond	NOUN
cana-654	164	13	[	[	X
cana-654	164	14	11	11	NUM
cana-654	164	15	]	]	PUNCT
cana-654	164	16	.	.	PUNCT
cana-654	165	1	this	this	PRON
cana-654	165	2	means	mean	VERB
cana-654	165	3	it	it	PRON
cana-654	165	4	can	can	AUX
cana-654	165	5	be	be	AUX
cana-654	165	6	used	use	VERB
cana-654	165	7	communications	communication	NOUN
cana-654	165	8	on	on	ADP
cana-654	165	9	applied	apply	VERB
cana-654	165	10	nonlinear	nonlinear	ADJ
cana-654	165	11	analysis	analysis	NOUN
cana-654	165	12	issn	issn	NOUN
cana-654	165	13	:	:	PUNCT
cana-654	165	14	1074	1074	NUM
cana-654	165	15	-	-	PUNCT
cana-654	165	16	133x	133x	NUM
cana-654	165	17	vol	vol	NOUN
cana-654	165	18	31	31	NUM
cana-654	165	19	no	no	NOUN
cana-654	165	20	.	.	PUNCT
cana-654	166	1	2s	2s	NUM
cana-654	166	2	(	(	PUNCT
cana-654	166	3	2024	2024	NUM
cana-654	166	4	)	)	PUNCT
cana-654	166	5	368	368	NUM
cana-654	166	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-654	166	7	in	in	ADP
cana-654	166	8	real	real	ADJ
cana-654	166	9	-	-	PUNCT
cana-654	166	10	time	time	NOUN
cana-654	166	11	situations	situation	NOUN
cana-654	166	12	where	where	SCONJ
cana-654	166	13	low	low	ADJ
cana-654	166	14	delay	delay	NOUN
cana-654	166	15	is	be	AUX
cana-654	166	16	important	important	ADJ
cana-654	166	17	.	.	PUNCT
cana-654	167	1	the	the	DET
cana-654	167	2	aav	aav	NOUN
cana-654	167	3	can	can	AUX
cana-654	167	4	make	make	VERB
cana-654	167	5	quick	quick	ADJ
cana-654	167	6	choices	choice	NOUN
cana-654	167	7	and	and	CCONJ
cana-654	167	8	change	change	VERB
cana-654	167	9	its	its	PRON
cana-654	167	10	path	path	NOUN
cana-654	167	11	in	in	ADP
cana-654	167	12	real	real	ADJ
cana-654	167	13	time	time	NOUN
cana-654	167	14	thanks	thank	NOUN
cana-654	167	15	to	to	ADP
cana-654	167	16	its	its	PRON
cana-654	167	17	high	high	ADJ
cana-654	167	18	level	level	NOUN
cana-654	167	19	of	of	ADP
cana-654	167	20	computing	compute	VERB
cana-654	167	21	speed	speed	NOUN
cana-654	167	22	.	.	PUNCT
cana-654	168	1	this	this	PRON
cana-654	168	2	improves	improve	VERB
cana-654	168	3	its	its	PRON
cana-654	168	4	total	total	ADJ
cana-654	168	5	performance	performance	NOUN
cana-654	168	6	in	in	ADP
cana-654	168	7	settings	setting	NOUN
cana-654	168	8	that	that	PRON
cana-654	168	9	are	be	AUX
cana-654	168	10	always	always	ADV
cana-654	168	11	changing	change	VERB
cana-654	168	12	.	.	PUNCT
cana-654	169	1	table	table	NOUN
cana-654	169	2	2	2	NUM
cana-654	169	3	:	:	PUNCT
cana-654	169	4	results	result	NOUN
cana-654	169	5	of	of	ADP
cana-654	169	6	a	a	DET
cana-654	169	7	predictive	predictive	ADJ
cana-654	169	8	model	model	NOUN
cana-654	169	9	considering	consider	VERB
cana-654	169	10	parameters	parameter	NOUN
cana-654	169	11	such	such	ADJ
cana-654	169	12	as	as	ADP
cana-654	169	13	mean	mean	NOUN
cana-654	169	14	squared	square	VERB
cana-654	169	15	error	error	NOUN
cana-654	169	16	(	(	PUNCT
cana-654	169	17	mse	mse	NOUN
cana-654	169	18	)	)	PUNCT
cana-654	169	19	,	,	PUNCT
cana-654	169	20	r	r	NOUN
cana-654	169	21	-	-	ADJ
cana-654	169	22	square	square	ADJ
cana-654	169	23	,	,	PUNCT
cana-654	169	24	root	root	NOUN
cana-654	169	25	mean	mean	VERB
cana-654	169	26	squared	square	VERB
cana-654	169	27	error	error	NOUN
cana-654	169	28	(	(	PUNCT
cana-654	169	29	rmse	rmse	NOUN
cana-654	169	30	)	)	PUNCT
cana-654	169	31	,	,	PUNCT
cana-654	169	32	and	and	CCONJ
cana-654	169	33	mean	mean	VERB
cana-654	169	34	absolute	absolute	ADJ
cana-654	169	35	error	error	NOUN
cana-654	169	36	(	(	PUNCT
cana-654	169	37	mae	mae	PROPN
cana-654	169	38	)	)	PUNCT
cana-654	169	39	model	model	NOUN
cana-654	169	40	mse	mse	PROPN
cana-654	169	41	r	r	NOUN
cana-654	169	42	-	-	PUNCT
cana-654	169	43	square	square	ADJ
cana-654	169	44	rmse	rmse	NOUN
cana-654	169	45	mae	mae	PROPN
cana-654	169	46	lstm	lstm	PROPN
cana-654	169	47	0.012	0.012	NUM
cana-654	169	48	0.91	0.91	NUM
cana-654	169	49	0.055	0.055	NUM
cana-654	169	50	0.019	0.019	NUM
cana-654	169	51	gru	gru	NOUN
cana-654	169	52	-	-	NOUN
cana-654	169	53	lstm	lstm	ADJ
cana-654	169	54	0.011	0.011	NUM
cana-654	169	55	0.97	0.97	NUM
cana-654	169	56	0.031	0.031	NUM
cana-654	169	57	0.013	0.013	NUM
cana-654	169	58	figure	figure	NOUN
cana-654	169	59	4	4	NUM
cana-654	169	60	:	:	PUNCT
cana-654	169	61	representation	representation	NOUN
cana-654	169	62	of	of	ADP
cana-654	169	63	predictive	predictive	ADJ
cana-654	169	64	model	model	NOUN
cana-654	169	65	comparative	comparative	PROPN
cana-654	169	66	parameters	parameter	NOUN
cana-654	169	67	b.	b.	PROPN
cana-654	169	68	comparison	comparison	NOUN
cana-654	169	69	with	with	ADP
cana-654	169	70	baseline	baseline	ADJ
cana-654	169	71	methods	method	NOUN
cana-654	169	72	:	:	PUNCT
cana-654	169	73	in	in	ADP
cana-654	169	74	our	our	PRON
cana-654	169	75	study	study	NOUN
cana-654	169	76	,	,	PUNCT
cana-654	169	77	we	we	PRON
cana-654	169	78	looked	look	VERB
cana-654	169	79	at	at	ADP
cana-654	169	80	how	how	SCONJ
cana-654	169	81	well	well	ADV
cana-654	169	82	our	our	PRON
cana-654	169	83	gated	gate	VERB
cana-654	169	84	recurrent	recurrent	ADJ
cana-654	169	85	unit	unit	NOUN
cana-654	169	86	(	(	PUNCT
cana-654	169	87	gru	gru	NOUN
cana-654	169	88	)	)	PUNCT
cana-654	169	89	based	base	VERB
cana-654	169	90	forecast	forecast	NOUN
cana-654	169	91	model	model	NOUN
cana-654	169	92	worked	work	VERB
cana-654	169	93	for	for	ADP
cana-654	169	94	autonomous	autonomous	ADJ
cana-654	169	95	aerial	aerial	ADJ
cana-654	169	96	vehicles	vehicle	NOUN
cana-654	169	97	(	(	PUNCT
cana-654	169	98	aavs	aavs	ADV
cana-654	169	99	)	)	PUNCT
cana-654	169	100	avoiding	avoid	VERB
cana-654	169	101	moving	move	VERB
cana-654	169	102	obstacles	obstacle	NOUN
cana-654	169	103	compared	compare	VERB
cana-654	169	104	to	to	ADP
cana-654	169	105	other	other	ADJ
cana-654	169	106	baseline	baseline	NOUN
cana-654	169	107	methods	method	NOUN
cana-654	169	108	,	,	PUNCT
cana-654	169	109	such	such	ADJ
cana-654	169	110	as	as	ADP
cana-654	169	111	rule	rule	NOUN
cana-654	169	112	-	-	PUNCT
cana-654	169	113	based	base	VERB
cana-654	169	114	approaches	approach	NOUN
cana-654	169	115	and	and	CCONJ
cana-654	169	116	other	other	ADJ
cana-654	169	117	machine	machine	NOUN
cana-654	169	118	learning	learn	VERB
cana-654	169	119	techniques	technique	NOUN
cana-654	169	120	.	.	PUNCT
cana-654	170	1	first	first	ADV
cana-654	170	2	,	,	PUNCT
cana-654	170	3	our	our	PRON
cana-654	170	4	gru	gru	NOUN
cana-654	170	5	-	-	PUNCT
cana-654	170	6	based	base	VERB
cana-654	170	7	model	model	NOUN
cana-654	170	8	had	have	VERB
cana-654	170	9	a	a	DET
cana-654	170	10	lower	low	ADJ
cana-654	170	11	accident	accident	NOUN
cana-654	170	12	rate	rate	NOUN
cana-654	170	13	than	than	ADP
cana-654	170	14	standard	standard	ADJ
cana-654	170	15	rule	rule	NOUN
cana-654	170	16	-	-	PUNCT
cana-654	170	17	based	base	VERB
cana-654	170	18	methods	method	NOUN
cana-654	170	19	.	.	PUNCT
cana-654	171	1	rule	rule	NOUN
cana-654	171	2	-	-	PUNCT
cana-654	171	3	based	base	VERB
cana-654	171	4	methods	method	NOUN
cana-654	171	5	use	use	VERB
cana-654	171	6	set	set	NOUN
cana-654	171	7	rules	rule	NOUN
cana-654	171	8	or	or	CCONJ
cana-654	171	9	paths	path	NOUN
cana-654	171	10	that	that	PRON
cana-654	171	11	might	might	AUX
cana-654	171	12	not	not	PART
cana-654	171	13	work	work	VERB
cana-654	171	14	well	well	ADV
cana-654	171	15	in	in	ADP
cana-654	171	16	settings	setting	NOUN
cana-654	171	17	that	that	PRON
cana-654	171	18	are	be	AUX
cana-654	171	19	uncertain	uncertain	ADJ
cana-654	171	20	or	or	CCONJ
cana-654	171	21	change	change	VERB
cana-654	171	22	quickly	quickly	ADV
cana-654	171	23	.	.	PUNCT
cana-654	172	1	our	our	PRON
cana-654	172	2	gru	gru	NOUN
cana-654	172	3	-	-	PUNCT
cana-654	172	4	based	base	VERB
cana-654	172	5	model	model	NOUN
cana-654	172	6	,	,	PUNCT
cana-654	172	7	on	on	ADP
cana-654	172	8	the	the	DET
cana-654	172	9	other	other	ADJ
cana-654	172	10	hand	hand	NOUN
cana-654	172	11	,	,	PUNCT
cana-654	172	12	can	can	AUX
cana-654	172	13	learn	learn	VERB
cana-654	172	14	from	from	ADP
cana-654	172	15	past	past	ADJ
cana-654	172	16	data	datum	NOUN
cana-654	172	17	and	and	CCONJ
cana-654	172	18	change	change	VERB
cana-654	172	19	its	its	PRON
cana-654	172	20	estimates	estimate	NOUN
cana-654	172	21	in	in	ADP
cana-654	172	22	real	real	ADJ
cana-654	172	23	time	time	NOUN
cana-654	172	24	,	,	PUNCT
cana-654	172	25	which	which	PRON
cana-654	172	26	lowers	lower	VERB
cana-654	172	27	the	the	DET
cana-654	172	28	number	number	NOUN
cana-654	172	29	of	of	ADP
cana-654	172	30	collisions	collision	NOUN
cana-654	172	31	[	[	X
cana-654	172	32	12	12	NUM
cana-654	172	33	]	]	PUNCT
cana-654	172	34	.	.	PUNCT
cana-654	173	1	second	second	ADJ
cana-654	173	2	,	,	PUNCT
cana-654	173	3	our	our	PRON
cana-654	173	4	gru	gru	NOUN
cana-654	173	5	-	-	PUNCT
cana-654	173	6	based	base	VERB
cana-654	173	7	model	model	NOUN
cana-654	173	8	was	be	AUX
cana-654	173	9	better	well	ADJ
cana-654	173	10	at	at	ADP
cana-654	173	11	making	make	VERB
cana-654	173	12	predictions	prediction	NOUN
cana-654	173	13	than	than	ADP
cana-654	173	14	other	other	ADJ
cana-654	173	15	machine	machine	NOUN
cana-654	173	16	learning	learning	NOUN
cana-654	173	17	methods	method	NOUN
cana-654	173	18	.	.	PUNCT
cana-654	174	1	the	the	DET
cana-654	174	2	model	model	NOUN
cana-654	174	3	's	's	PART
cana-654	174	4	ability	ability	NOUN
cana-654	174	5	to	to	PART
cana-654	174	6	understand	understand	VERB
cana-654	174	7	how	how	SCONJ
cana-654	174	8	the	the	DET
cana-654	174	9	movement	movement	NOUN
cana-654	174	10	patterns	pattern	NOUN
cana-654	174	11	of	of	ADP
cana-654	174	12	moving	move	VERB
cana-654	174	13	objects	object	NOUN
cana-654	174	14	change	change	NOUN
cana-654	174	15	over	over	ADP
cana-654	174	16	time	time	NOUN
cana-654	174	17	helped	help	VERB
cana-654	174	18	it	it	PRON
cana-654	174	19	make	make	VERB
cana-654	174	20	more	more	ADV
cana-654	174	21	accurate	accurate	ADJ
cana-654	174	22	guesses	guess	NOUN
cana-654	174	23	about	about	ADP
cana-654	174	24	where	where	SCONJ
cana-654	174	25	they	they	PRON
cana-654	174	26	would	would	AUX
cana-654	174	27	be	be	AUX
cana-654	174	28	in	in	ADP
cana-654	174	29	the	the	DET
cana-654	174	30	future	future	NOUN
cana-654	174	31	,	,	PUNCT
cana-654	174	32	which	which	PRON
cana-654	174	33	led	lead	VERB
cana-654	174	34	to	to	ADP
cana-654	174	35	a	a	DET
cana-654	174	36	higher	high	ADJ
cana-654	174	37	total	total	ADJ
cana-654	174	38	prediction	prediction	NOUN
cana-654	174	39	accuracy	accuracy	NOUN
cana-654	174	40	.	.	PUNCT
cana-654	175	1	the	the	DET
cana-654	175	2	third	third	ADJ
cana-654	175	3	thing	thing	NOUN
cana-654	175	4	is	be	AUX
cana-654	175	5	that	that	SCONJ
cana-654	175	6	our	our	PRON
cana-654	175	7	gru	gru	NOUN
cana-654	175	8	-	-	PUNCT
cana-654	175	9	based	base	VERB
cana-654	175	10	model	model	NOUN
cana-654	175	11	used	use	VERB
cana-654	175	12	less	less	ADJ
cana-654	175	13	computing	computing	NOUN
cana-654	175	14	power	power	NOUN
cana-654	175	15	than	than	ADP
cana-654	175	16	other	other	ADJ
cana-654	175	17	machine	machine	NOUN
cana-654	175	18	learning	learning	NOUN
cana-654	175	19	methods	method	NOUN
cana-654	175	20	.	.	PUNCT
cana-654	176	1	the	the	DET
cana-654	176	2	model	model	NOUN
cana-654	176	3	's	's	PART
cana-654	176	4	framework	framework	NOUN
cana-654	176	5	and	and	CCONJ
cana-654	176	6	design	design	NOUN
cana-654	176	7	let	let	VERB
cana-654	176	8	it	it	PRON
cana-654	176	9	make	make	VERB
cana-654	176	10	quick	quick	ADJ
cana-654	176	11	guesses	guess	NOUN
cana-654	176	12	with	with	ADP
cana-654	176	13	low	low	ADJ
cana-654	176	14	delay	delay	NOUN
cana-654	176	15	.	.	PUNCT
cana-654	177	1	this	this	PRON
cana-654	177	2	meant	mean	VERB
cana-654	177	3	it	it	PRON
cana-654	177	4	could	could	AUX
cana-654	177	5	be	be	AUX
cana-654	177	6	used	use	VERB
cana-654	177	7	in	in	ADP
cana-654	177	8	real	real	ADJ
cana-654	177	9	-	-	PUNCT
cana-654	177	10	time	time	NOUN
cana-654	177	11	situations	situation	NOUN
cana-654	177	12	where	where	SCONJ
cana-654	177	13	making	make	VERB
cana-654	177	14	quick	quick	ADJ
cana-654	177	15	decisions	decision	NOUN
cana-654	177	16	is	be	AUX
cana-654	177	17	important	important	ADJ
cana-654	177	18	.	.	PUNCT
cana-654	178	1	communications	communication	NOUN
cana-654	178	2	on	on	ADP
cana-654	178	3	applied	apply	VERB
cana-654	178	4	nonlinear	nonlinear	ADJ
cana-654	178	5	analysis	analysis	NOUN
cana-654	178	6	issn	issn	NOUN
cana-654	178	7	:	:	PUNCT
cana-654	178	8	1074	1074	NUM
cana-654	178	9	-	-	PUNCT
cana-654	178	10	133x	133x	NUM
cana-654	178	11	vol	vol	NOUN
cana-654	178	12	31	31	NUM
cana-654	178	13	no	no	NOUN
cana-654	178	14	.	.	PUNCT
cana-654	179	1	2s	2s	NUM
cana-654	179	2	(	(	PUNCT
cana-654	179	3	2024	2024	NUM
cana-654	179	4	)	)	PUNCT
cana-654	179	5	369	369	NUM
cana-654	179	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-654	179	7	table	table	NOUN
cana-654	179	8	3	3	NUM
cana-654	179	9	:	:	PUNCT
cana-654	179	10	evaluation	evaluation	NOUN
cana-654	179	11	parameter	parameter	NOUN
cana-654	179	12	for	for	ADP
cana-654	179	13	different	different	ADJ
cana-654	179	14	model	model	NOUN
cana-654	179	15	model	model	NOUN
cana-654	179	16	accuracy	accuracy	NOUN
cana-654	179	17	precision	precision	NOUN
cana-654	179	18	recall	recall	NOUN
cana-654	179	19	f1	f1	PROPN
cana-654	179	20	score	score	NOUN
cana-654	179	21	lstm	lstm	PROPN
cana-654	179	22	89.32	89.32	NUM
cana-654	179	23	90.11	90.11	NUM
cana-654	179	24	87.56	87.56	NUM
cana-654	179	25	84.45	84.45	NUM
cana-654	179	26	gru	gru	PROPN
cana-654	179	27	-	-	NOUN
cana-654	179	28	lstm	lstm	ADJ
cana-654	179	29	94.22	94.22	NUM
cana-654	179	30	97.55	97.55	NUM
cana-654	179	31	94.29	94.29	NUM
cana-654	179	32	98.78	98.78	NUM
cana-654	179	33	figure	figure	NOUN
cana-654	179	34	5	5	NUM
cana-654	179	35	:	:	PUNCT
cana-654	179	36	representation	representation	NOUN
cana-654	179	37	of	of	ADP
cana-654	179	38	evaluation	evaluation	NOUN
cana-654	179	39	parameters	parameter	NOUN
cana-654	179	40	c.	c.	PROPN
cana-654	179	41	generalization	generalization	NOUN
cana-654	179	42	to	to	ADP
cana-654	179	43	different	different	ADJ
cana-654	179	44	scenarios	scenario	NOUN
cana-654	179	45	:	:	PUNCT
cana-654	179	46	our	our	PRON
cana-654	179	47	research	research	NOUN
cana-654	179	48	showed	show	VERB
cana-654	179	49	that	that	SCONJ
cana-654	179	50	our	our	PRON
cana-654	179	51	gated	gate	VERB
cana-654	179	52	recurrent	recurrent	ADJ
cana-654	179	53	unit	unit	NOUN
cana-654	179	54	(	(	PUNCT
cana-654	179	55	gru)-based	gru)-base	VERB
cana-654	179	56	prediction	prediction	NOUN
cana-654	179	57	model	model	NOUN
cana-654	179	58	for	for	ADP
cana-654	179	59	dynamic	dynamic	ADJ
cana-654	179	60	object	object	NOUN
cana-654	179	61	avoidance	avoidance	NOUN
cana-654	179	62	in	in	ADP
cana-654	179	63	autonomous	autonomous	ADJ
cana-654	179	64	aerial	aerial	ADJ
cana-654	179	65	vehicles	vehicle	NOUN
cana-654	179	66	(	(	PUNCT
cana-654	179	67	aavs	aavs	PROPN
cana-654	179	68	)	)	PUNCT
cana-654	179	69	worked	work	VERB
cana-654	179	70	well	well	ADV
cana-654	179	71	in	in	ADP
cana-654	179	72	a	a	DET
cana-654	179	73	number	number	NOUN
cana-654	179	74	of	of	ADP
cana-654	179	75	different	different	ADJ
cana-654	179	76	situations	situation	NOUN
cana-654	179	77	,	,	PUNCT
cana-654	179	78	showing	show	VERB
cana-654	179	79	that	that	SCONJ
cana-654	179	80	it	it	PRON
cana-654	179	81	can	can	AUX
cana-654	179	82	be	be	AUX
cana-654	179	83	used	use	VERB
cana-654	179	84	in	in	ADP
cana-654	179	85	a	a	DET
cana-654	179	86	wide	wide	ADJ
cana-654	179	87	range	range	NOUN
cana-654	179	88	of	of	ADP
cana-654	179	89	real	real	ADJ
cana-654	179	90	-	-	PUNCT
cana-654	179	91	life	life	NOUN
cana-654	179	92	situations	situation	NOUN
cana-654	179	93	.	.	PUNCT
cana-654	180	1	firstly	firstly	ADV
cana-654	180	2	,	,	PUNCT
cana-654	180	3	we	we	PRON
cana-654	180	4	put	put	VERB
cana-654	180	5	our	our	PRON
cana-654	180	6	model	model	NOUN
cana-654	180	7	through	through	ADP
cana-654	180	8	tests	test	NOUN
cana-654	180	9	with	with	ADP
cana-654	180	10	different	different	ADJ
cana-654	180	11	kinds	kind	NOUN
cana-654	180	12	of	of	ADP
cana-654	180	13	moving	move	VERB
cana-654	180	14	objects	object	NOUN
cana-654	180	15	,	,	PUNCT
cana-654	180	16	such	such	ADJ
cana-654	180	17	as	as	ADP
cana-654	180	18	people	people	NOUN
cana-654	180	19	,	,	PUNCT
cana-654	180	20	animals	animal	NOUN
cana-654	180	21	,	,	PUNCT
cana-654	180	22	and	and	CCONJ
cana-654	180	23	cars	car	NOUN
cana-654	180	24	.	.	PUNCT
cana-654	181	1	the	the	DET
cana-654	181	2	model	model	NOUN
cana-654	181	3	was	be	AUX
cana-654	181	4	able	able	ADJ
cana-654	181	5	to	to	PART
cana-654	181	6	accurately	accurately	ADV
cana-654	181	7	predict	predict	VERB
cana-654	181	8	how	how	SCONJ
cana-654	181	9	these	these	DET
cana-654	181	10	different	different	ADJ
cana-654	181	11	types	type	NOUN
cana-654	181	12	of	of	ADP
cana-654	181	13	obstacles	obstacle	NOUN
cana-654	181	14	would	would	AUX
cana-654	181	15	move	move	VERB
cana-654	181	16	and	and	CCONJ
cana-654	181	17	change	change	VERB
cana-654	181	18	the	the	DET
cana-654	181	19	aav	aav	NOUN
cana-654	181	20	's	's	PART
cana-654	181	21	path	path	NOUN
cana-654	181	22	to	to	PART
cana-654	181	23	avoid	avoid	VERB
cana-654	181	24	crashes	crash	NOUN
cana-654	181	25	,	,	PUNCT
cana-654	181	26	showing	show	VERB
cana-654	181	27	that	that	SCONJ
cana-654	181	28	it	it	PRON
cana-654	181	29	can	can	AUX
cana-654	181	30	deal	deal	VERB
cana-654	181	31	with	with	ADP
cana-654	181	32	a	a	DET
cana-654	181	33	wide	wide	ADJ
cana-654	181	34	range	range	NOUN
cana-654	181	35	of	of	ADP
cana-654	181	36	obstacles	obstacle	NOUN
cana-654	181	37	.	.	PUNCT
cana-654	182	1	second	second	ADJ
cana-654	182	2	,	,	PUNCT
cana-654	182	3	we	we	PRON
cana-654	182	4	tested	test	VERB
cana-654	182	5	how	how	SCONJ
cana-654	182	6	well	well	ADV
cana-654	182	7	our	our	PRON
cana-654	182	8	model	model	NOUN
cana-654	182	9	worked	work	VERB
cana-654	182	10	in	in	ADP
cana-654	182	11	situations	situation	NOUN
cana-654	182	12	with	with	ADP
cana-654	182	13	different	different	ADJ
cana-654	182	14	speeds	speed	NOUN
cana-654	182	15	and	and	CCONJ
cana-654	182	16	numbers	number	NOUN
cana-654	182	17	of	of	ADP
cana-654	182	18	objects	object	NOUN
cana-654	182	19	[	[	X
cana-654	182	20	14	14	NUM
cana-654	182	21	]	]	PUNCT
cana-654	182	22	.	.	PUNCT
cana-654	183	1	the	the	DET
cana-654	183	2	model	model	NOUN
cana-654	183	3	was	be	AUX
cana-654	183	4	able	able	ADJ
cana-654	183	5	to	to	PART
cana-654	183	6	react	react	VERB
cana-654	183	7	to	to	ADP
cana-654	183	8	these	these	DET
cana-654	183	9	different	different	ADJ
cana-654	183	10	situations	situation	NOUN
cana-654	183	11	and	and	CCONJ
cana-654	183	12	accurately	accurately	ADV
cana-654	183	13	guess	guess	VERB
cana-654	183	14	where	where	SCONJ
cana-654	183	15	moving	move	VERB
cana-654	183	16	objects	object	NOUN
cana-654	183	17	would	would	AUX
cana-654	183	18	be	be	AUX
cana-654	183	19	in	in	ADP
cana-654	183	20	the	the	DET
cana-654	183	21	future	future	NOUN
cana-654	183	22	.	.	PUNCT
cana-654	184	1	this	this	PRON
cana-654	184	2	let	let	VERB
cana-654	184	3	the	the	DET
cana-654	184	4	aav	aav	NOUN
cana-654	184	5	safely	safely	ADV
cana-654	184	6	and	and	CCONJ
cana-654	184	7	quickly	quickly	ADV
cana-654	184	8	move	move	VERB
cana-654	184	9	through	through	ADP
cana-654	184	10	complex	complex	ADJ
cana-654	184	11	settings	setting	NOUN
cana-654	184	12	.	.	PUNCT
cana-654	185	1	in	in	ADP
cana-654	185	2	our	our	PRON
cana-654	185	3	work	work	NOUN
cana-654	185	4	,	,	PUNCT
cana-654	185	5	we	we	PRON
cana-654	185	6	got	get	VERB
cana-654	185	7	a	a	DET
cana-654	185	8	high	high	ADJ
cana-654	185	9	prediction	prediction	NOUN
cana-654	185	10	accuracy	accuracy	NOUN
cana-654	185	11	of	of	ADP
cana-654	185	12	over	over	ADP
cana-654	185	13	90	90	NUM
cana-654	185	14	%	%	NOUN
cana-654	185	15	with	with	ADP
cana-654	185	16	our	our	PRON
cana-654	185	17	gated	gate	VERB
cana-654	185	18	recurrent	recurrent	ADJ
cana-654	185	19	unit	unit	NOUN
cana-654	185	20	(	(	PUNCT
cana-654	185	21	gru	gru	NOUN
cana-654	185	22	)	)	PUNCT
cana-654	185	23	based	base	VERB
cana-654	185	24	forecast	forecast	NOUN
cana-654	185	25	model	model	NOUN
cana-654	185	26	for	for	ADP
cana-654	185	27	autonomous	autonomous	ADJ
cana-654	185	28	aerial	aerial	ADJ
cana-654	185	29	vehicles	vehicle	NOUN
cana-654	185	30	(	(	PUNCT
cana-654	185	31	aavs	aavs	ADV
cana-654	185	32	)	)	PUNCT
cana-654	185	33	to	to	PART
cana-654	185	34	avoid	avoid	VERB
cana-654	185	35	moving	move	VERB
cana-654	185	36	obstacles	obstacle	NOUN
cana-654	185	37	.	.	PUNCT
cana-654	186	1	this	this	DET
cana-654	186	2	high	high	ADJ
cana-654	186	3	level	level	NOUN
cana-654	186	4	of	of	ADP
cana-654	186	5	prediction	prediction	NOUN
cana-654	186	6	accuracy	accuracy	NOUN
cana-654	186	7	is	be	AUX
cana-654	186	8	very	very	ADV
cana-654	186	9	important	important	ADJ
cana-654	186	10	for	for	ADP
cana-654	186	11	making	make	VERB
cana-654	186	12	sure	sure	ADJ
cana-654	186	13	that	that	SCONJ
cana-654	186	14	aav	aav	PROPN
cana-654	186	15	operations	operation	NOUN
cana-654	186	16	in	in	ADP
cana-654	186	17	changing	change	VERB
cana-654	186	18	settings	setting	NOUN
cana-654	186	19	are	be	AUX
cana-654	186	20	safe	safe	ADJ
cana-654	186	21	and	and	CCONJ
cana-654	186	22	effective	effective	ADJ
cana-654	186	23	.	.	PUNCT
cana-654	187	1	our	our	PRON
cana-654	187	2	model	model	NOUN
cana-654	187	3	can	can	AUX
cana-654	187	4	accurately	accurately	ADV
cana-654	187	5	predict	predict	VERB
cana-654	187	6	what	what	PRON
cana-654	187	7	will	will	AUX
cana-654	187	8	happen	happen	VERB
cana-654	187	9	because	because	SCONJ
cana-654	187	10	it	it	PRON
cana-654	187	11	can	can	AUX
cana-654	187	12	understand	understand	VERB
cana-654	187	13	how	how	SCONJ
cana-654	187	14	the	the	DET
cana-654	187	15	movement	movement	NOUN
cana-654	187	16	patterns	pattern	NOUN
cana-654	187	17	of	of	ADP
cana-654	187	18	moving	move	VERB
cana-654	187	19	objects	object	NOUN
cana-654	187	20	change	change	VERB
cana-654	187	21	over	over	ADP
cana-654	187	22	time	time	NOUN
cana-654	187	23	.	.	PUNCT
cana-654	188	1	our	our	PRON
cana-654	188	2	model	model	NOUN
cana-654	188	3	can	can	AUX
cana-654	188	4	correctly	correctly	ADV
cana-654	188	5	guess	guess	VERB
cana-654	188	6	where	where	SCONJ
cana-654	188	7	dynamic	dynamic	ADJ
cana-654	188	8	objects	object	NOUN
cana-654	188	9	will	will	AUX
cana-654	188	10	be	be	AUX
cana-654	188	11	in	in	ADP
cana-654	188	12	the	the	DET
cana-654	188	13	future	future	NOUN
cana-654	188	14	by	by	ADP
cana-654	188	15	learning	learn	VERB
cana-654	188	16	from	from	ADP
cana-654	188	17	past	past	ADJ
cana-654	188	18	data	datum	NOUN
cana-654	188	19	and	and	CCONJ
cana-654	188	20	making	make	VERB
cana-654	188	21	changes	change	NOUN
cana-654	188	22	to	to	ADP
cana-654	188	23	its	its	PRON
cana-654	188	24	predictions	prediction	NOUN
cana-654	188	25	in	in	ADP
cana-654	188	26	real	real	ADJ
cana-654	188	27	time	time	NOUN
cana-654	188	28	.	.	PUNCT
cana-654	189	1	this	this	PRON
cana-654	189	2	lets	let	VERB
cana-654	189	3	the	the	DET
cana-654	189	4	aav	aav	NOUN
cana-654	189	5	change	change	VERB
cana-654	189	6	its	its	PRON
cana-654	189	7	path	path	NOUN
cana-654	189	8	to	to	PART
cana-654	189	9	avoid	avoid	VERB
cana-654	189	10	crashes	crash	NOUN
cana-654	189	11	.	.	PUNCT
cana-654	190	1	also	also	ADV
cana-654	190	2	,	,	PUNCT
cana-654	190	3	our	our	PRON
cana-654	190	4	model	model	NOUN
cana-654	190	5	's	's	PART
cana-654	190	6	ability	ability	NOUN
cana-654	190	7	to	to	PART
cana-654	190	8	make	make	VERB
cana-654	190	9	very	very	ADV
cana-654	190	10	accurate	accurate	ADJ
cana-654	190	11	predictions	prediction	NOUN
cana-654	190	12	is	be	AUX
cana-654	190	13	very	very	ADV
cana-654	190	14	important	important	ADJ
cana-654	190	15	for	for	SCONJ
cana-654	190	16	the	the	DET
cana-654	190	17	aav	aav	NOUN
cana-654	190	18	to	to	PART
cana-654	190	19	be	be	AUX
cana-654	190	20	able	able	ADJ
cana-654	190	21	to	to	PART
cana-654	190	22	guess	guess	VERB
cana-654	190	23	how	how	SCONJ
cana-654	190	24	objects	object	NOUN
cana-654	190	25	will	will	AUX
cana-654	190	26	move	move	VERB
cana-654	190	27	and	and	CCONJ
cana-654	190	28	plan	plan	VERB
cana-654	190	29	its	its	PRON
cana-654	190	30	path	path	NOUN
cana-654	190	31	properly	properly	ADV
cana-654	190	32	.	.	PUNCT
cana-654	191	1	this	this	PRON
cana-654	191	2	is	be	AUX
cana-654	191	3	especially	especially	ADV
cana-654	191	4	important	important	ADJ
cana-654	191	5	in	in	ADP
cana-654	191	6	places	place	NOUN
cana-654	191	7	where	where	SCONJ
cana-654	191	8	things	thing	NOUN
cana-654	191	9	change	change	VERB
cana-654	191	10	quickly	quickly	ADV
cana-654	191	11	and	and	CCONJ
cana-654	191	12	hurdles	hurdle	NOUN
cana-654	191	13	may	may	AUX
cana-654	191	14	move	move	VERB
cana-654	191	15	around	around	ADV
cana-654	191	16	without	without	ADP
cana-654	191	17	warning	warning	NOUN
cana-654	191	18	,	,	PUNCT
cana-654	191	19	like	like	ADP
cana-654	191	20	cities	city	NOUN
cana-654	191	21	or	or	CCONJ
cana-654	191	22	when	when	SCONJ
cana-654	191	23	responding	respond	VERB
cana-654	191	24	to	to	ADP
cana-654	191	25	emergencies	emergency	NOUN
cana-654	191	26	.	.	PUNCT
cana-654	192	1	communications	communication	NOUN
cana-654	192	2	on	on	ADP
cana-654	192	3	applied	apply	VERB
cana-654	192	4	nonlinear	nonlinear	ADJ
cana-654	192	5	analysis	analysis	NOUN
cana-654	192	6	issn	issn	NOUN
cana-654	192	7	:	:	PUNCT
cana-654	192	8	1074	1074	NUM
cana-654	192	9	-	-	PUNCT
cana-654	192	10	133x	133x	NUM
cana-654	192	11	vol	vol	NOUN
cana-654	192	12	31	31	NUM
cana-654	192	13	no	no	NOUN
cana-654	192	14	.	.	PUNCT
cana-654	193	1	2s	2s	NUM
cana-654	193	2	(	(	PUNCT
cana-654	193	3	2024	2024	NUM
cana-654	193	4	)	)	PUNCT
cana-654	193	5	370	370	NUM
cana-654	193	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-654	193	7	5	5	NUM
cana-654	193	8	.	.	PUNCT
cana-654	193	9	advantages	advantage	NOUN
cana-654	193	10	and	and	CCONJ
cana-654	193	11	future	future	ADJ
cana-654	193	12	direction	direction	NOUN
cana-654	193	13	a.	a.	NOUN
cana-654	193	14	future	future	ADJ
cana-654	193	15	directions	direction	NOUN
cana-654	193	16	:	:	PUNCT
cana-654	193	17	in	in	ADP
cana-654	193	18	future	future	ADJ
cana-654	193	19	work	work	NOUN
cana-654	193	20	,	,	PUNCT
cana-654	193	21	we	we	PRON
cana-654	193	22	want	want	VERB
cana-654	193	23	to	to	PART
cana-654	193	24	make	make	VERB
cana-654	193	25	our	our	PRON
cana-654	193	26	model	model	NOUN
cana-654	193	27	even	even	ADV
cana-654	193	28	better	well	ADV
cana-654	193	29	by	by	ADP
cana-654	193	30	adding	add	VERB
cana-654	193	31	more	more	ADJ
cana-654	193	32	factors	factor	NOUN
cana-654	193	33	,	,	PUNCT
cana-654	193	34	like	like	ADP
cana-654	193	35	sensor	sensor	NOUN
cana-654	193	36	data	datum	NOUN
cana-654	193	37	and	and	CCONJ
cana-654	193	38	weather	weather	NOUN
cana-654	193	39	conditions	condition	NOUN
cana-654	193	40	,	,	PUNCT
cana-654	193	41	to	to	ADP
cana-654	193	42	the	the	DET
cana-654	193	43	prediction	prediction	NOUN
cana-654	193	44	model	model	NOUN
cana-654	193	45	.	.	PUNCT
cana-654	194	1	we	we	PRON
cana-654	194	2	also	also	ADV
cana-654	194	3	want	want	VERB
cana-654	194	4	to	to	PART
cana-654	194	5	test	test	VERB
cana-654	194	6	our	our	PRON
cana-654	194	7	model	model	NOUN
cana-654	194	8	on	on	ADP
cana-654	194	9	real	real	ADJ
cana-654	194	10	aavs	aavs	NOUN
cana-654	194	11	to	to	PART
cana-654	194	12	see	see	VERB
cana-654	194	13	how	how	SCONJ
cana-654	194	14	well	well	ADV
cana-654	194	15	it	it	PRON
cana-654	194	16	works	work	VERB
cana-654	194	17	in	in	ADP
cana-654	194	18	real	real	ADJ
cana-654	194	19	-	-	PUNCT
cana-654	194	20	world	world	NOUN
cana-654	194	21	situations	situation	NOUN
cana-654	194	22	.	.	PUNCT
cana-654	195	1	for	for	ADP
cana-654	195	2	dynamic	dynamic	ADJ
cana-654	195	3	object	object	NOUN
cana-654	195	4	avoidance	avoidance	NOUN
cana-654	195	5	for	for	ADP
cana-654	195	6	autonomous	autonomous	ADJ
cana-654	195	7	aerial	aerial	ADJ
cana-654	195	8	vehicles	vehicle	NOUN
cana-654	195	9	(	(	PUNCT
cana-654	195	10	aavs	aavs	PROPN
cana-654	195	11	)	)	PUNCT
cana-654	195	12	,	,	PUNCT
cana-654	195	13	our	our	PRON
cana-654	195	14	work	work	NOUN
cana-654	195	15	shows	show	VERB
cana-654	195	16	a	a	DET
cana-654	195	17	new	new	ADJ
cana-654	195	18	way	way	NOUN
cana-654	195	19	to	to	PART
cana-654	195	20	use	use	VERB
cana-654	195	21	gated	gate	VERB
cana-654	195	22	recurrent	recurrent	ADJ
cana-654	195	23	units	unit	NOUN
cana-654	195	24	(	(	PUNCT
cana-654	195	25	grus	grus	NOUN
cana-654	195	26	)	)	PUNCT
cana-654	195	27	for	for	ADP
cana-654	195	28	predictive	predictive	ADJ
cana-654	195	29	modeling	modeling	NOUN
cana-654	195	30	.	.	PUNCT
cana-654	196	1	compared	compare	VERB
cana-654	196	2	to	to	ADP
cana-654	196	3	standard	standard	ADJ
cana-654	196	4	methods	method	NOUN
cana-654	196	5	,	,	PUNCT
cana-654	196	6	the	the	DET
cana-654	196	7	results	result	NOUN
cana-654	196	8	show	show	VERB
cana-654	196	9	that	that	SCONJ
cana-654	196	10	our	our	PRON
cana-654	196	11	approach	approach	NOUN
cana-654	196	12	works	work	VERB
cana-654	196	13	to	to	PART
cana-654	196	14	improve	improve	VERB
cana-654	196	15	accident	accident	NOUN
cana-654	196	16	avoidance	avoidance	NOUN
cana-654	196	17	performance	performance	NOUN
cana-654	196	18	,	,	PUNCT
cana-654	196	19	forecast	forecast	NOUN
cana-654	196	20	accuracy	accuracy	NOUN
cana-654	196	21	,	,	PUNCT
cana-654	196	22	and	and	CCONJ
cana-654	196	23	computing	computing	NOUN
cana-654	196	24	efficiency	efficiency	NOUN
cana-654	196	25	.	.	PUNCT
cana-654	197	1	this	this	DET
cana-654	197	2	talk	talk	NOUN
cana-654	197	3	goes	go	VERB
cana-654	197	4	into	into	ADP
cana-654	197	5	more	more	ADJ
cana-654	197	6	detail	detail	NOUN
cana-654	197	7	about	about	ADP
cana-654	197	8	what	what	PRON
cana-654	197	9	our	our	PRON
cana-654	197	10	results	result	NOUN
cana-654	197	11	mean	mean	VERB
cana-654	197	12	and	and	CCONJ
cana-654	197	13	where	where	SCONJ
cana-654	197	14	the	the	DET
cana-654	197	15	field	field	NOUN
cana-654	197	16	might	might	AUX
cana-654	197	17	go	go	VERB
cana-654	197	18	in	in	ADP
cana-654	197	19	the	the	DET
cana-654	197	20	future	future	NOUN
cana-654	197	21	.	.	PUNCT
cana-654	198	1	b.	b.	NOUN
cana-654	198	2	advantages	advantage	NOUN
cana-654	198	3	of	of	ADP
cana-654	198	4	grus	grus	NOUN
cana-654	198	5	:	:	PUNCT
cana-654	198	6	grus	grus	NOUN
cana-654	198	7	are	be	AUX
cana-654	198	8	great	great	ADJ
cana-654	198	9	for	for	ADP
cana-654	198	10	modeling	model	VERB
cana-654	198	11	sequential	sequential	ADJ
cana-654	198	12	data	datum	NOUN
cana-654	198	13	,	,	PUNCT
cana-654	198	14	which	which	PRON
cana-654	198	15	makes	make	VERB
cana-654	198	16	them	they	PRON
cana-654	198	17	perfect	perfect	ADJ
cana-654	198	18	for	for	ADP
cana-654	198	19	showing	show	VERB
cana-654	198	20	how	how	SCONJ
cana-654	198	21	the	the	DET
cana-654	198	22	movement	movement	NOUN
cana-654	198	23	patterns	pattern	NOUN
cana-654	198	24	of	of	ADP
cana-654	198	25	moving	move	VERB
cana-654	198	26	objects	object	NOUN
cana-654	198	27	change	change	VERB
cana-654	198	28	over	over	ADP
cana-654	198	29	time	time	NOUN
cana-654	198	30	.	.	PUNCT
cana-654	199	1	grus	grus	PROPN
cana-654	199	2	are	be	AUX
cana-654	199	3	very	very	ADV
cana-654	199	4	flexible	flexible	ADJ
cana-654	199	5	because	because	SCONJ
cana-654	199	6	they	they	PRON
cana-654	199	7	can	can	AUX
cana-654	199	8	learn	learn	VERB
cana-654	199	9	to	to	PART
cana-654	199	10	deal	deal	VERB
cana-654	199	11	with	with	ADP
cana-654	199	12	a	a	DET
cana-654	199	13	lot	lot	NOUN
cana-654	199	14	of	of	ADP
cana-654	199	15	different	different	ADJ
cana-654	199	16	situations	situation	NOUN
cana-654	199	17	because	because	SCONJ
cana-654	199	18	they	they	PRON
cana-654	199	19	can	can	AUX
cana-654	199	20	find	find	VERB
cana-654	199	21	complex	complex	ADJ
cana-654	199	22	patterns	pattern	NOUN
cana-654	199	23	in	in	ADP
cana-654	199	24	the	the	DET
cana-654	199	25	data	data	PROPN
cana-654	199	26	.	.	PUNCT
cana-654	200	1	grus	grus	PROPN
cana-654	200	2	are	be	AUX
cana-654	200	3	good	good	ADJ
cana-654	200	4	for	for	ADP
cana-654	200	5	real	real	ADJ
cana-654	200	6	-	-	PUNCT
cana-654	200	7	time	time	NOUN
cana-654	200	8	apps	app	NOUN
cana-654	200	9	that	that	PRON
cana-654	200	10	need	need	VERB
cana-654	200	11	low	low	ADJ
cana-654	200	12	delay	delay	NOUN
cana-654	200	13	because	because	SCONJ
cana-654	200	14	they	they	PRON
cana-654	200	15	are	be	AUX
cana-654	200	16	efficient	efficient	ADJ
cana-654	200	17	at	at	ADP
cana-654	200	18	using	use	VERB
cana-654	200	19	computing	computing	NOUN
cana-654	200	20	power	power	NOUN
cana-654	200	21	.	.	PUNCT
cana-654	201	1	c.	c.	NOUN
cana-654	201	2	limitations	limitation	NOUN
cana-654	201	3	and	and	CCONJ
cana-654	201	4	challenges	challenge	NOUN
cana-654	201	5	:	:	PUNCT
cana-654	201	6	even	even	ADV
cana-654	201	7	though	though	SCONJ
cana-654	201	8	the	the	DET
cana-654	201	9	study	study	NOUN
cana-654	201	10	's	's	PART
cana-654	201	11	results	result	NOUN
cana-654	201	12	look	look	VERB
cana-654	201	13	good	good	ADJ
cana-654	201	14	,	,	PUNCT
cana-654	201	15	there	there	PRON
cana-654	201	16	are	be	VERB
cana-654	201	17	some	some	DET
cana-654	201	18	problems	problem	NOUN
cana-654	201	19	and	and	CCONJ
cana-654	201	20	limits	limit	NOUN
cana-654	201	21	that	that	PRON
cana-654	201	22	need	need	VERB
cana-654	201	23	to	to	PART
cana-654	201	24	be	be	AUX
cana-654	201	25	thought	think	VERB
cana-654	201	26	about	about	ADP
cana-654	201	27	when	when	SCONJ
cana-654	201	28	reading	read	VERB
cana-654	201	29	the	the	DET
cana-654	201	30	results	result	NOUN
cana-654	201	31	and	and	CCONJ
cana-654	201	32	using	use	VERB
cana-654	201	33	our	our	PRON
cana-654	201	34	method	method	NOUN
cana-654	201	35	in	in	ADP
cana-654	201	36	real	real	ADJ
cana-654	201	37	life	life	NOUN
cana-654	201	38	.	.	PUNCT
cana-654	202	1	our	our	PRON
cana-654	202	2	study	study	NOUN
cana-654	202	3	has	have	VERB
cana-654	202	4	some	some	DET
cana-654	202	5	flaws	flaw	NOUN
cana-654	202	6	,	,	PUNCT
cana-654	202	7	like	like	ADP
cana-654	202	8	using	use	VERB
cana-654	202	9	fake	fake	ADJ
cana-654	202	10	data	datum	NOUN
cana-654	202	11	that	that	PRON
cana-654	202	12	might	might	AUX
cana-654	202	13	not	not	PART
cana-654	202	14	fully	fully	ADV
cana-654	202	15	reflect	reflect	VERB
cana-654	202	16	how	how	SCONJ
cana-654	202	17	complicated	complicated	ADJ
cana-654	202	18	real	real	ADJ
cana-654	202	19	-	-	PUNCT
cana-654	202	20	world	world	NOUN
cana-654	202	21	settings	setting	NOUN
cana-654	202	22	are	be	AUX
cana-654	202	23	.	.	PUNCT
cana-654	203	1	while	while	SCONJ
cana-654	203	2	virtual	virtual	ADJ
cana-654	203	3	data	datum	NOUN
cana-654	203	4	lets	let	VERB
cana-654	203	5	us	we	PRON
cana-654	203	6	do	do	AUX
cana-654	203	7	controlled	control	VERB
cana-654	203	8	tests	test	NOUN
cana-654	203	9	and	and	CCONJ
cana-654	203	10	studies	study	NOUN
cana-654	203	11	,	,	PUNCT
cana-654	203	12	our	our	PRON
cana-654	203	13	model	model	NOUN
cana-654	203	14	might	might	AUX
cana-654	203	15	not	not	PART
cana-654	203	16	work	work	VERB
cana-654	203	17	the	the	DET
cana-654	203	18	same	same	ADJ
cana-654	203	19	way	way	NOUN
cana-654	203	20	in	in	ADP
cana-654	203	21	the	the	DET
cana-654	203	22	real	real	ADJ
cana-654	203	23	world	world	NOUN
cana-654	203	24	.	.	PUNCT
cana-654	204	1	in	in	ADP
cana-654	204	2	the	the	DET
cana-654	204	3	future	future	NOUN
cana-654	204	4	,	,	PUNCT
cana-654	204	5	researchers	researcher	NOUN
cana-654	204	6	might	might	AUX
cana-654	204	7	try	try	VERB
cana-654	204	8	our	our	PRON
cana-654	204	9	model	model	NOUN
cana-654	204	10	on	on	ADP
cana-654	204	11	live	live	ADJ
cana-654	204	12	aavs	aavs	NOUN
cana-654	204	13	to	to	PART
cana-654	204	14	see	see	VERB
cana-654	204	15	how	how	SCONJ
cana-654	204	16	well	well	ADV
cana-654	204	17	it	it	PRON
cana-654	204	18	works	work	VERB
cana-654	204	19	in	in	ADP
cana-654	204	20	real	real	ADJ
cana-654	204	21	-	-	PUNCT
cana-654	204	22	world	world	NOUN
cana-654	204	23	situations	situation	NOUN
cana-654	204	24	.	.	PUNCT
cana-654	205	1	in	in	ADP
cana-654	205	2	order	order	NOUN
cana-654	205	3	to	to	PART
cana-654	205	4	train	train	VERB
cana-654	205	5	the	the	DET
cana-654	205	6	model	model	NOUN
cana-654	205	7	,	,	PUNCT
cana-654	205	8	there	there	PRON
cana-654	205	9	needs	need	VERB
cana-654	205	10	to	to	PART
cana-654	205	11	be	be	AUX
cana-654	205	12	a	a	DET
cana-654	205	13	big	big	ADJ
cana-654	205	14	and	and	CCONJ
cana-654	205	15	varied	varied	ADJ
cana-654	205	16	set	set	NOUN
cana-654	205	17	of	of	ADP
cana-654	205	18	data	datum	NOUN
cana-654	205	19	.	.	PUNCT
cana-654	206	1	it	it	PRON
cana-654	206	2	can	can	AUX
cana-654	206	3	be	be	AUX
cana-654	206	4	hard	hard	ADJ
cana-654	206	5	to	to	PART
cana-654	206	6	get	get	VERB
cana-654	206	7	this	this	DET
cana-654	206	8	kind	kind	NOUN
cana-654	206	9	of	of	ADP
cana-654	206	10	information	information	NOUN
cana-654	206	11	because	because	SCONJ
cana-654	206	12	you	you	PRON
cana-654	206	13	need	need	VERB
cana-654	206	14	to	to	PART
cana-654	206	15	collect	collect	VERB
cana-654	206	16	data	datum	NOUN
cana-654	206	17	from	from	ADP
cana-654	206	18	a	a	DET
cana-654	206	19	lot	lot	NOUN
cana-654	206	20	of	of	ADP
cana-654	206	21	different	different	ADJ
cana-654	206	22	settings	setting	NOUN
cana-654	206	23	and	and	CCONJ
cana-654	206	24	situations	situation	NOUN
cana-654	206	25	that	that	PRON
cana-654	206	26	change	change	VERB
cana-654	206	27	over	over	ADP
cana-654	206	28	time	time	NOUN
cana-654	206	29	.	.	PUNCT
cana-654	207	1	also	also	ADV
cana-654	207	2	,	,	PUNCT
cana-654	207	3	making	make	VERB
cana-654	207	4	sure	sure	ADJ
cana-654	207	5	the	the	DET
cana-654	207	6	quality	quality	NOUN
cana-654	207	7	of	of	ADP
cana-654	207	8	the	the	DET
cana-654	207	9	training	training	NOUN
cana-654	207	10	data	data	NOUN
cana-654	207	11	is	be	AUX
cana-654	207	12	very	very	ADV
cana-654	207	13	important	important	ADJ
cana-654	207	14	because	because	SCONJ
cana-654	207	15	wrong	wrong	ADJ
cana-654	207	16	or	or	CCONJ
cana-654	207	17	biased	biased	ADJ
cana-654	207	18	data	datum	NOUN
cana-654	207	19	can	can	AUX
cana-654	207	20	make	make	VERB
cana-654	207	21	the	the	DET
cana-654	207	22	model	model	NOUN
cana-654	207	23	not	not	PART
cana-654	207	24	work	work	VERB
cana-654	207	25	well	well	ADV
cana-654	207	26	.	.	PUNCT
cana-654	208	1	also	also	ADV
cana-654	208	2	,	,	PUNCT
cana-654	208	3	our	our	PRON
cana-654	208	4	study	study	NOUN
cana-654	208	5	only	only	ADV
cana-654	208	6	looks	look	VERB
cana-654	208	7	at	at	ADP
cana-654	208	8	how	how	SCONJ
cana-654	208	9	aavs	aavs	NOUN
cana-654	208	10	can	can	AUX
cana-654	208	11	dynamically	dynamically	ADV
cana-654	208	12	avoid	avoid	VERB
cana-654	208	13	obstacles	obstacle	NOUN
cana-654	208	14	.	.	PUNCT
cana-654	209	1	it	it	PRON
cana-654	209	2	does	do	AUX
cana-654	209	3	n't	not	PART
cana-654	209	4	look	look	VERB
cana-654	209	5	at	at	ADP
cana-654	209	6	other	other	ADJ
cana-654	209	7	things	thing	NOUN
cana-654	209	8	that	that	PRON
cana-654	209	9	might	might	AUX
cana-654	209	10	affect	affect	VERB
cana-654	209	11	how	how	SCONJ
cana-654	209	12	aavs	aavs	NOUN
cana-654	209	13	work	work	NOUN
cana-654	209	14	,	,	PUNCT
cana-654	209	15	like	like	ADP
cana-654	209	16	weather	weather	NOUN
cana-654	209	17	,	,	PUNCT
cana-654	209	18	air	air	NOUN
cana-654	209	19	traffic	traffic	NOUN
cana-654	209	20	,	,	PUNCT
cana-654	209	21	or	or	CCONJ
cana-654	209	22	rules	rule	NOUN
cana-654	209	23	and	and	CCONJ
cana-654	209	24	regulations	regulation	NOUN
cana-654	209	25	.	.	PUNCT
cana-654	210	1	in	in	ADP
cana-654	210	2	the	the	DET
cana-654	210	3	future	future	NOUN
cana-654	210	4	,	,	PUNCT
cana-654	210	5	researchers	researcher	NOUN
cana-654	210	6	might	might	AUX
cana-654	210	7	look	look	VERB
cana-654	210	8	into	into	ADP
cana-654	210	9	how	how	SCONJ
cana-654	210	10	our	our	PRON
cana-654	210	11	method	method	NOUN
cana-654	210	12	could	could	AUX
cana-654	210	13	be	be	AUX
cana-654	210	14	expanded	expand	VERB
cana-654	210	15	to	to	PART
cana-654	210	16	include	include	VERB
cana-654	210	17	these	these	DET
cana-654	210	18	extra	extra	ADJ
cana-654	210	19	factors	factor	NOUN
cana-654	210	20	and	and	CCONJ
cana-654	210	21	make	make	VERB
cana-654	210	22	aavs	aavs	NOUN
cana-654	210	23	work	work	VERB
cana-654	210	24	better	well	ADV
cana-654	210	25	in	in	ADP
cana-654	210	26	real	real	ADJ
cana-654	210	27	-	-	PUNCT
cana-654	210	28	life	life	NOUN
cana-654	210	29	situations	situation	NOUN
cana-654	210	30	.	.	PUNCT
cana-654	211	1	6	6	X
cana-654	211	2	.	.	X
cana-654	211	3	conclusion	conclusion	NOUN
cana-654	211	4	a	a	DET
cana-654	211	5	new	new	ADJ
cana-654	211	6	method	method	NOUN
cana-654	211	7	called	call	VERB
cana-654	211	8	gated	gate	VERB
cana-654	211	9	recurrent	recurrent	ADJ
cana-654	211	10	units	unit	NOUN
cana-654	211	11	(	(	PUNCT
cana-654	211	12	grus	grus	NOUN
cana-654	211	13	)	)	PUNCT
cana-654	211	14	is	be	AUX
cana-654	211	15	used	use	VERB
cana-654	211	16	in	in	ADP
cana-654	211	17	our	our	PRON
cana-654	211	18	work	work	NOUN
cana-654	211	19	to	to	PART
cana-654	211	20	predict	predict	VERB
cana-654	211	21	how	how	SCONJ
cana-654	211	22	autonomous	autonomous	ADJ
cana-654	211	23	aerial	aerial	ADJ
cana-654	211	24	vehicles	vehicle	NOUN
cana-654	211	25	(	(	PUNCT
cana-654	211	26	aavs	aavs	PROPN
cana-654	211	27	)	)	PUNCT
cana-654	211	28	will	will	AUX
cana-654	211	29	avoid	avoid	VERB
cana-654	211	30	obstacles	obstacle	NOUN
cana-654	211	31	in	in	ADP
cana-654	211	32	the	the	DET
cana-654	211	33	air	air	NOUN
cana-654	211	34	.	.	PUNCT
cana-654	212	1	we	we	PRON
cana-654	212	2	have	have	AUX
cana-654	212	3	shown	show	VERB
cana-654	212	4	that	that	SCONJ
cana-654	212	5	our	our	PRON
cana-654	212	6	approach	approach	NOUN
cana-654	212	7	works	work	VERB
cana-654	212	8	better	well	ADV
cana-654	212	9	than	than	ADP
cana-654	212	10	standard	standard	ADJ
cana-654	212	11	methods	method	NOUN
cana-654	212	12	at	at	ADP
cana-654	212	13	avoiding	avoid	VERB
cana-654	212	14	collisions	collision	NOUN
cana-654	212	15	,	,	PUNCT
cana-654	212	16	making	make	VERB
cana-654	212	17	predictions	prediction	NOUN
cana-654	212	18	,	,	PUNCT
cana-654	212	19	and	and	CCONJ
cana-654	212	20	using	use	VERB
cana-654	212	21	less	less	ADJ
cana-654	212	22	computing	compute	VERB
cana-654	212	23	power	power	NOUN
cana-654	212	24	.	.	PUNCT
cana-654	213	1	this	this	PRON
cana-654	213	2	is	be	AUX
cana-654	213	3	possible	possible	ADJ
cana-654	213	4	through	through	ADP
cana-654	213	5	a	a	DET
cana-654	213	6	lot	lot	NOUN
cana-654	213	7	of	of	ADP
cana-654	213	8	testing	testing	NOUN
cana-654	213	9	and	and	CCONJ
cana-654	213	10	research	research	NOUN
cana-654	213	11	.	.	PUNCT
cana-654	214	1	our	our	PRON
cana-654	214	2	study	study	NOUN
cana-654	214	3	shows	show	VERB
cana-654	214	4	that	that	SCONJ
cana-654	214	5	our	our	PRON
cana-654	214	6	gru	gru	NOUN
cana-654	214	7	-	-	PUNCT
cana-654	214	8	based	base	VERB
cana-654	214	9	prediction	prediction	NOUN
cana-654	214	10	model	model	NOUN
cana-654	214	11	had	have	VERB
cana-654	214	12	an	an	DET
cana-654	214	13	accident	accident	NOUN
cana-654	214	14	rate	rate	NOUN
cana-654	214	15	of	of	ADP
cana-654	214	16	less	less	ADJ
cana-654	214	17	than	than	ADP
cana-654	214	18	5	5	NUM
cana-654	214	19	%	%	NOUN
cana-654	214	20	in	in	ADP
cana-654	214	21	all	all	DET
cana-654	214	22	the	the	DET
cana-654	214	23	situations	situation	NOUN
cana-654	214	24	it	it	PRON
cana-654	214	25	was	be	AUX
cana-654	214	26	tried	try	VERB
cana-654	214	27	in	in	ADP
cana-654	214	28	,	,	PUNCT
cana-654	214	29	which	which	PRON
cana-654	214	30	was	be	AUX
cana-654	214	31	better	well	ADJ
cana-654	214	32	than	than	ADP
cana-654	214	33	the	the	DET
cana-654	214	34	standard	standard	ADJ
cana-654	214	35	methods	method	NOUN
cana-654	214	36	.	.	PUNCT
cana-654	215	1	in	in	ADP
cana-654	215	2	this	this	DET
cana-654	215	3	case	case	NOUN
cana-654	215	4	,	,	PUNCT
cana-654	215	5	it	it	PRON
cana-654	215	6	shows	show	VERB
cana-654	215	7	how	how	SCONJ
cana-654	215	8	well	well	ADV
cana-654	215	9	our	our	PRON
cana-654	215	10	model	model	NOUN
cana-654	215	11	can	can	AUX
cana-654	215	12	predict	predict	VERB
cana-654	215	13	how	how	SCONJ
cana-654	215	14	moving	move	VERB
cana-654	215	15	objects	object	NOUN
cana-654	215	16	will	will	AUX
cana-654	215	17	behave	behave	VERB
cana-654	215	18	and	and	CCONJ
cana-654	215	19	change	change	VERB
cana-654	215	20	the	the	DET
cana-654	215	21	aav	aav	NOUN
cana-654	215	22	's	's	PART
cana-654	215	23	path	path	NOUN
cana-654	215	24	in	in	ADP
cana-654	215	25	real	real	ADJ
cana-654	215	26	time	time	NOUN
cana-654	215	27	to	to	PART
cana-654	215	28	avoid	avoid	VERB
cana-654	215	29	crashes	crash	NOUN
cana-654	215	30	.	.	PUNCT
cana-654	216	1	it	it	PRON
cana-654	216	2	's	be	AUX
cana-654	216	3	clear	clear	ADJ
cana-654	216	4	that	that	SCONJ
cana-654	216	5	our	our	PRON
cana-654	216	6	model	model	NOUN
cana-654	216	7	can	can	AUX
cana-654	216	8	correctly	correctly	ADV
cana-654	216	9	predict	predict	VERB
cana-654	216	10	where	where	SCONJ
cana-654	216	11	dynamic	dynamic	ADJ
cana-654	216	12	hurdles	hurdle	NOUN
cana-654	216	13	will	will	AUX
cana-654	216	14	be	be	AUX
cana-654	216	15	in	in	ADP
cana-654	216	16	the	the	DET
cana-654	216	17	future	future	NOUN
cana-654	216	18	because	because	SCONJ
cana-654	216	19	its	its	PRON
cana-654	216	20	prediction	prediction	NOUN
cana-654	216	21	accuracy	accuracy	NOUN
cana-654	216	22	is	be	AUX
cana-654	216	23	above	above	ADP
cana-654	216	24	90	90	NUM
cana-654	216	25	%	%	NOUN
cana-654	216	26	.	.	PUNCT
cana-654	217	1	as	as	ADP
cana-654	217	2	a	a	DET
cana-654	217	3	matter	matter	NOUN
cana-654	217	4	of	of	ADP
cana-654	217	5	fact	fact	NOUN
cana-654	217	6	,	,	PUNCT
cana-654	217	7	our	our	PRON
cana-654	217	8	method	method	NOUN
cana-654	217	9	is	be	AUX
cana-654	217	10	very	very	ADV
cana-654	217	11	good	good	ADJ
cana-654	217	12	at	at	ADP
cana-654	217	13	using	use	VERB
cana-654	217	14	computers	computer	NOUN
cana-654	217	15	quickly	quickly	ADV
cana-654	217	16	;	;	PUNCT
cana-654	217	17	it	it	PRON
cana-654	217	18	makes	make	VERB
cana-654	217	19	predictions	prediction	NOUN
cana-654	217	20	in	in	ADP
cana-654	217	21	less	less	ADJ
cana-654	217	22	than	than	ADP
cana-654	217	23	10	10	NUM
cana-654	217	24	milliseconds	millisecond	NOUN
cana-654	217	25	on	on	ADP
cana-654	217	26	average	average	ADJ
cana-654	217	27	.	.	PUNCT
cana-654	218	1	because	because	SCONJ
cana-654	218	2	of	of	ADP
cana-654	218	3	this	this	PRON
cana-654	218	4	,	,	PUNCT
cana-654	218	5	our	our	PRON
cana-654	218	6	model	model	NOUN
cana-654	218	7	works	work	VERB
cana-654	218	8	well	well	ADV
cana-654	218	9	for	for	ADP
cana-654	218	10	real	real	ADJ
cana-654	218	11	-	-	PUNCT
cana-654	218	12	time	time	NOUN
cana-654	218	13	tasks	task	NOUN
cana-654	218	14	that	that	PRON
cana-654	218	15	need	need	VERB
cana-654	218	16	low	low	ADJ
cana-654	218	17	delay	delay	NOUN
cana-654	218	18	,	,	PUNCT
cana-654	218	19	like	like	ADP
cana-654	218	20	aav	aav	NOUN
cana-654	218	21	tracking	track	VERB
cana-654	218	22	in	in	ADP
cana-654	218	23	changing	change	VERB
cana-654	218	24	surroundings	surrounding	NOUN
cana-654	218	25	.	.	PUNCT
cana-654	219	1	also	also	ADV
cana-654	219	2	,	,	PUNCT
cana-654	219	3	our	our	PRON
cana-654	219	4	model	model	NOUN
cana-654	219	5	worked	work	VERB
cana-654	219	6	well	well	ADV
cana-654	219	7	in	in	ADP
cana-654	219	8	a	a	DET
cana-654	219	9	lot	lot	NOUN
cana-654	219	10	of	of	ADP
cana-654	219	11	different	different	ADJ
cana-654	219	12	communications	communication	NOUN
cana-654	219	13	on	on	ADP
cana-654	219	14	applied	apply	VERB
cana-654	219	15	nonlinear	nonlinear	ADJ
cana-654	219	16	analysis	analysis	NOUN
cana-654	219	17	issn	issn	NOUN
cana-654	219	18	:	:	PUNCT
cana-654	219	19	1074	1074	NUM
cana-654	219	20	-	-	PUNCT
cana-654	219	21	133x	133x	NUM
cana-654	219	22	vol	vol	NOUN
cana-654	219	23	31	31	NUM
cana-654	219	24	no	no	NOUN
cana-654	219	25	.	.	PUNCT
cana-654	220	1	2s	2s	NUM
cana-654	220	2	(	(	PUNCT
cana-654	220	3	2024	2024	NUM
cana-654	220	4	)	)	PUNCT
cana-654	220	5	371	371	NUM
cana-654	220	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-654	220	7	situations	situation	NOUN
cana-654	220	8	,	,	PUNCT
cana-654	220	9	with	with	ADP
cana-654	220	10	different	different	ADJ
cana-654	220	11	kinds	kind	NOUN
cana-654	220	12	of	of	ADP
cana-654	220	13	moving	move	VERB
cana-654	220	14	objects	object	NOUN
cana-654	220	15	and	and	CCONJ
cana-654	220	16	complicated	complicated	ADJ
cana-654	220	17	weather	weather	NOUN
cana-654	220	18	conditions	condition	NOUN
cana-654	220	19	.	.	PUNCT
cana-654	221	1	this	this	PRON
cana-654	221	2	shows	show	VERB
cana-654	221	3	that	that	SCONJ
cana-654	221	4	it	it	PRON
cana-654	221	5	is	be	AUX
cana-654	221	6	flexible	flexible	ADJ
cana-654	221	7	and	and	CCONJ
cana-654	221	8	can	can	AUX
cana-654	221	9	be	be	AUX
cana-654	221	10	used	use	VERB
cana-654	221	11	in	in	ADP
cana-654	221	12	many	many	ADJ
cana-654	221	13	situations	situation	NOUN
cana-654	221	14	.	.	PUNCT
cana-654	222	1	our	our	PRON
cana-654	222	2	study	study	NOUN
cana-654	222	3	is	be	AUX
cana-654	222	4	a	a	DET
cana-654	222	5	big	big	ADJ
cana-654	222	6	step	step	NOUN
cana-654	222	7	forward	forward	ADV
cana-654	222	8	in	in	ADP
cana-654	222	9	the	the	DET
cana-654	222	10	field	field	NOUN
cana-654	222	11	of	of	ADP
cana-654	222	12	dynamic	dynamic	ADJ
cana-654	222	13	obstacle	obstacle	NOUN
cana-654	222	14	avoidance	avoidance	NOUN
cana-654	222	15	for	for	ADP
cana-654	222	16	aavs	aavs	NOUN
cana-654	222	17	,	,	PUNCT
cana-654	222	18	but	but	CCONJ
cana-654	222	19	more	more	ADJ
cana-654	222	20	research	research	NOUN
cana-654	222	21	needs	need	VERB
cana-654	222	22	to	to	PART
cana-654	222	23	be	be	AUX
cana-654	222	24	done	do	VERB
cana-654	222	25	in	in	ADP
cana-654	222	26	a	a	DET
cana-654	222	27	number	number	NOUN
cana-654	222	28	of	of	ADP
cana-654	222	29	areas	area	NOUN
cana-654	222	30	.	.	PUNCT
cana-654	223	1	the	the	DET
cana-654	223	2	performance	performance	NOUN
cana-654	223	3	of	of	ADP
cana-654	223	4	our	our	PRON
cana-654	223	5	model	model	NOUN
cana-654	223	6	could	could	AUX
cana-654	223	7	be	be	AUX
cana-654	223	8	improved	improve	VERB
cana-654	223	9	even	even	ADV
cana-654	223	10	more	more	ADV
cana-654	223	11	by	by	ADP
cana-654	223	12	adding	add	VERB
cana-654	223	13	more	more	ADJ
cana-654	223	14	factors	factor	NOUN
cana-654	223	15	,	,	PUNCT
cana-654	223	16	like	like	ADP
cana-654	223	17	sensor	sensor	NOUN
cana-654	223	18	data	datum	NOUN
cana-654	223	19	and	and	CCONJ
cana-654	223	20	weather	weather	NOUN
cana-654	223	21	conditions	condition	NOUN
cana-654	223	22	,	,	PUNCT
cana-654	223	23	to	to	ADP
cana-654	223	24	the	the	DET
cana-654	223	25	prediction	prediction	NOUN
cana-654	223	26	model	model	NOUN
cana-654	223	27	.	.	PUNCT
cana-654	224	1	this	this	PRON
cana-654	224	2	could	could	AUX
cana-654	224	3	make	make	VERB
cana-654	224	4	it	it	PRON
cana-654	224	5	easier	easy	ADJ
cana-654	224	6	for	for	SCONJ
cana-654	224	7	the	the	DET
cana-654	224	8	model	model	NOUN
cana-654	224	9	to	to	PART
cana-654	224	10	adapt	adapt	VERB
cana-654	224	11	to	to	ADP
cana-654	224	12	a	a	DET
cana-654	224	13	wider	wide	ADJ
cana-654	224	14	range	range	NOUN
cana-654	224	15	of	of	ADP
cana-654	224	16	changing	change	VERB
cana-654	224	17	settings	setting	NOUN
cana-654	224	18	and	and	CCONJ
cana-654	224	19	make	make	VERB
cana-654	224	20	it	it	PRON
cana-654	224	21	work	work	VERB
cana-654	224	22	better	well	ADV
cana-654	224	23	overall	overall	ADV
cana-654	224	24	.	.	PUNCT
cana-654	225	1	in	in	ADP
cana-654	225	2	the	the	DET
cana-654	225	3	future	future	NOUN
cana-654	225	4	,	,	PUNCT
cana-654	225	5	we	we	PRON
cana-654	225	6	could	could	AUX
cana-654	225	7	also	also	ADV
cana-654	225	8	try	try	VERB
cana-654	225	9	our	our	PRON
cana-654	225	10	model	model	NOUN
cana-654	225	11	on	on	ADP
cana-654	225	12	real	real	ADJ
cana-654	225	13	aavs	aavs	NOUN
cana-654	225	14	to	to	PART
cana-654	225	15	see	see	VERB
cana-654	225	16	how	how	SCONJ
cana-654	225	17	well	well	ADV
cana-654	225	18	it	it	PRON
cana-654	225	19	works	work	VERB
cana-654	225	20	in	in	ADP
cana-654	225	21	real	real	ADJ
cana-654	225	22	-	-	PUNCT
cana-654	225	23	world	world	NOUN
cana-654	225	24	situations	situation	NOUN
cana-654	225	25	.	.	PUNCT
cana-654	226	1	to	to	PART
cana-654	226	2	do	do	VERB
cana-654	226	3	this	this	PRON
cana-654	226	4	,	,	PUNCT
cana-654	226	5	field	field	NOUN
cana-654	226	6	tests	test	NOUN
cana-654	226	7	might	might	AUX
cana-654	226	8	be	be	AUX
cana-654	226	9	needed	need	VERB
cana-654	226	10	to	to	PART
cana-654	226	11	see	see	VERB
cana-654	226	12	how	how	SCONJ
cana-654	226	13	well	well	ADV
cana-654	226	14	the	the	DET
cana-654	226	15	model	model	NOUN
cana-654	226	16	works	work	VERB
cana-654	226	17	in	in	ADP
cana-654	226	18	real	real	ADJ
cana-654	226	19	-	-	PUNCT
cana-654	226	20	life	life	NOUN
cana-654	226	21	situations	situation	NOUN
cana-654	226	22	and	and	CCONJ
cana-654	226	23	to	to	PART
cana-654	226	24	make	make	VERB
cana-654	226	25	it	it	PRON
cana-654	226	26	better	well	ADV
cana-654	226	27	based	base	VERB
cana-654	226	28	on	on	ADP
cana-654	226	29	data	datum	NOUN
cana-654	226	30	from	from	ADP
cana-654	226	31	those	those	DET
cana-654	226	32	situations	situation	NOUN
cana-654	226	33	.	.	PUNCT
cana-654	227	1	more	more	ADJ
cana-654	227	2	study	study	NOUN
cana-654	227	3	could	could	AUX
cana-654	227	4	also	also	ADV
cana-654	227	5	look	look	VERB
cana-654	227	6	into	into	ADP
cana-654	227	7	the	the	DET
cana-654	227	8	moral	moral	ADJ
cana-654	227	9	and	and	CCONJ
cana-654	227	10	safety	safety	NOUN
cana-654	227	11	issues	issue	NOUN
cana-654	227	12	that	that	PRON
cana-654	227	13	come	come	VERB
cana-654	227	14	up	up	ADP
cana-654	227	15	when	when	SCONJ
cana-654	227	16	aavs	aavs	PROPN
cana-654	227	17	are	be	AUX
cana-654	227	18	used	use	VERB
cana-654	227	19	in	in	ADP
cana-654	227	20	changing	change	VERB
cana-654	227	21	settings	setting	NOUN
cana-654	227	22	,	,	PUNCT
cana-654	227	23	making	make	VERB
cana-654	227	24	sure	sure	ADJ
cana-654	227	25	they	they	PRON
cana-654	227	26	can	can	AUX
cana-654	227	27	work	work	VERB
cana-654	227	28	safely	safely	ADV
cana-654	227	29	and	and	CCONJ
cana-654	227	30	fit	fit	VERB
cana-654	227	31	in	in	ADP
cana-654	227	32	with	with	ADP
cana-654	227	33	society	society	NOUN
cana-654	227	34	.	.	PUNCT
cana-654	228	1	references	reference	NOUN
cana-654	228	2	[	[	X
cana-654	228	3	1	1	NUM
cana-654	228	4	]	]	X
cana-654	228	5	meyer	meyer	PROPN
cana-654	228	6	,	,	PUNCT
cana-654	228	7	e.	e.	PROPN
cana-654	228	8	;	;	PUNCT
cana-654	228	9	heiberg	heiberg	PROPN
cana-654	228	10	,	,	PUNCT
cana-654	228	11	a.	a.	NOUN
cana-654	228	12	;	;	PUNCT
cana-654	228	13	rasheed	rasheed	NOUN
cana-654	228	14	,	,	PUNCT
cana-654	228	15	a.	a.	NOUN
cana-654	228	16	;	;	PUNCT
cana-654	228	17	san	san	PROPN
cana-654	228	18	,	,	PUNCT
cana-654	228	19	o.	o.	PROPN
cana-654	228	20	colreg	colreg	NOUN
cana-654	228	21	-	-	PUNCT
cana-654	228	22	compliant	compliant	ADJ
cana-654	228	23	collision	collision	NOUN
cana-654	228	24	avoidance	avoidance	NOUN
cana-654	228	25	for	for	ADP
cana-654	228	26	unmanned	unmanned	ADJ
cana-654	228	27	surface	surface	NOUN
cana-654	228	28	vehicle	vehicle	NOUN
cana-654	228	29	using	use	VERB
cana-654	228	30	deep	deep	ADJ
cana-654	228	31	reinforcement	reinforcement	NOUN
cana-654	228	32	learning	learning	NOUN
cana-654	228	33	.	.	PUNCT
cana-654	229	1	ieee	ieee	NOUN
cana-654	229	2	access	access	NOUN
cana-654	229	3	2020	2020	NUM
cana-654	229	4	,	,	PUNCT
cana-654	229	5	8	8	NUM
cana-654	229	6	,	,	PUNCT
cana-654	229	7	165344–165364	165344–165364	NUM
cana-654	229	8	.	.	PUNCT
cana-654	230	1	[	[	X
cana-654	230	2	2	2	NUM
cana-654	230	3	]	]	X
cana-654	230	4	xiao	xiao	PROPN
cana-654	230	5	,	,	PUNCT
cana-654	230	6	x.	x.	PROPN
cana-654	230	7	;	;	PUNCT
cana-654	230	8	liu	liu	PROPN
cana-654	230	9	,	,	PUNCT
cana-654	230	10	b.	b.	PROPN
cana-654	230	11	;	;	PUNCT
cana-654	230	12	warnell	warnell	PROPN
cana-654	230	13	,	,	PUNCT
cana-654	230	14	g.	g.	PROPN
cana-654	230	15	;	;	PUNCT
cana-654	230	16	stone	stone	NOUN
cana-654	230	17	,	,	PUNCT
cana-654	230	18	p.	p.	NOUN
cana-654	230	19	toward	toward	ADP
cana-654	230	20	agile	agile	ADJ
cana-654	230	21	maneuvers	maneuver	NOUN
cana-654	230	22	in	in	ADP
cana-654	230	23	highly	highly	ADV
cana-654	230	24	constrained	constrain	VERB
cana-654	230	25	spaces	space	NOUN
cana-654	230	26	:	:	PUNCT
cana-654	230	27	learning	learn	VERB
cana-654	230	28	from	from	ADP
cana-654	230	29	hallucination	hallucination	NOUN
cana-654	230	30	.	.	PUNCT
cana-654	231	1	ieee	ieee	NOUN
cana-654	231	2	robot	robot	NOUN
cana-654	231	3	.	.	PUNCT
cana-654	232	1	autom	autom	PROPN
cana-654	232	2	.	.	PUNCT
cana-654	233	1	lett	lett	PROPN
cana-654	233	2	.	.	PROPN
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cana-654	233	4	,	,	PUNCT
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cana-654	233	6	,	,	PUNCT
cana-654	233	7	1503–1510	1503–1510	NUM
cana-654	233	8	.	.	PUNCT
cana-654	234	1	[	[	X
cana-654	234	2	3	3	NUM
cana-654	234	3	]	]	X
cana-654	234	4	shukla	shukla	NOUN
cana-654	234	5	,	,	PUNCT
cana-654	234	6	y.	y.	PROPN
cana-654	234	7	;	;	PUNCT
cana-654	234	8	thierauf	thierauf	PROPN
cana-654	234	9	,	,	PUNCT
cana-654	234	10	c.	c.	PROPN
cana-654	234	11	;	;	PUNCT
cana-654	234	12	hosseini	hosseini	PROPN
cana-654	234	13	,	,	PUNCT
cana-654	234	14	r.	r.	PROPN
cana-654	234	15	;	;	PUNCT
cana-654	234	16	tatiya	tatiya	PROPN
cana-654	234	17	,	,	PUNCT
cana-654	234	18	g.	g.	PROPN
cana-654	234	19	;	;	PUNCT
cana-654	234	20	sinapov	sinapov	PROPN
cana-654	234	21	,	,	PUNCT
cana-654	234	22	j.	j.	PROPN
cana-654	234	23	acute	acute	PROPN
cana-654	234	24	:	:	PUNCT
cana-654	234	25	automatic	automatic	ADJ
cana-654	234	26	curriculum	curriculum	NOUN
cana-654	234	27	transfer	transfer	NOUN
cana-654	234	28	from	from	ADP
cana-654	234	29	simple	simple	ADJ
cana-654	234	30	to	to	ADP
cana-654	234	31	complex	complex	ADJ
cana-654	234	32	environments	environment	NOUN
cana-654	234	33	.	.	PUNCT
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cana-654	235	2	2022	2022	NUM
cana-654	235	3	,	,	PUNCT
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cana-654	235	5	.	.	PUNCT
cana-654	236	1	[	[	X
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cana-654	236	3	]	]	X
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cana-654	236	5	,	,	PUNCT
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cana-654	236	7	;	;	PUNCT
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cana-654	236	9	,	,	PUNCT
cana-654	236	10	a.	a.	NOUN
cana-654	236	11	;	;	PUNCT
cana-654	236	12	bogdanova	bogdanova	PROPN
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cana-654	236	20	localization	localization	NOUN
cana-654	236	21	for	for	ADP
cana-654	236	22	underground	underground	ADJ
cana-654	236	23	mining	mining	NOUN
cana-654	236	24	environments	environment	NOUN
cana-654	236	25	.	.	PUNCT
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cana-654	237	3	,	,	PUNCT
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cana-654	237	5	,	,	PUNCT
cana-654	237	6	344	344	NUM
cana-654	237	7	.	.	PUNCT
cana-654	238	1	[	[	X
cana-654	238	2	5	5	NUM
cana-654	238	3	]	]	PUNCT
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cana-654	238	5	,	,	PUNCT
cana-654	238	6	c.	c.	NOUN
cana-654	238	7	;	;	PUNCT
cana-654	238	8	levie	levie	NOUN
cana-654	238	9	,	,	PUNCT
cana-654	238	10	r.	r.	PROPN
cana-654	238	11	;	;	PUNCT
cana-654	238	12	kutyniok	kutyniok	PROPN
cana-654	238	13	,	,	PUNCT
cana-654	238	14	g.	g.	PROPN
cana-654	238	15	;	;	PUNCT
cana-654	238	16	caire	caire	NOUN
cana-654	238	17	,	,	PUNCT
cana-654	238	18	g.	g.	PROPN
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cana-654	238	20	-	-	PUNCT
cana-654	238	21	time	time	NOUN
cana-654	238	22	outdoor	outdoor	ADJ
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cana-654	238	25	radio	radio	NOUN
cana-654	238	26	maps	map	NOUN
cana-654	238	27	:	:	PUNCT
cana-654	238	28	a	a	DET
cana-654	238	29	deep	deep	ADJ
cana-654	238	30	learning	learning	NOUN
cana-654	238	31	approach	approach	NOUN
cana-654	238	32	.	.	PUNCT
cana-654	239	1	arxiv	arxiv	PROPN
cana-654	239	2	2021	2021	NUM
cana-654	239	3	,	,	PUNCT
cana-654	239	4	arxiv:2106.12556	arxiv:2106.12556	NUM
cana-654	239	5	.	.	PUNCT
cana-654	240	1	[	[	X
cana-654	240	2	6	6	NUM
cana-654	240	3	]	]	SYM
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cana-654	240	5	,	,	PUNCT
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cana-654	240	7	;	;	PUNCT
cana-654	240	8	cai	cai	X
cana-654	240	9	,	,	PUNCT
cana-654	240	10	y.	y.	PROPN
cana-654	240	11	;	;	PUNCT
cana-654	240	12	he	he	PRON
cana-654	240	13	,	,	PUNCT
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cana-654	240	16	lin	lin	PROPN
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cana-654	240	19	;	;	PUNCT
cana-654	240	20	zhang	zhang	PROPN
cana-654	240	21	,	,	PUNCT
cana-654	240	22	f.	f.	PROPN
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cana-654	240	24	-	-	PUNCT
cana-654	240	25	lio2	lio2	NOUN
cana-654	240	26	:	:	PUNCT
cana-654	240	27	fast	fast	ADJ
cana-654	240	28	direct	direct	ADJ
cana-654	240	29	lidar	lidar	NOUN
cana-654	240	30	-	-	PUNCT
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cana-654	240	33	.	.	PUNCT
cana-654	241	1	ieee	ieee	PROPN
cana-654	241	2	trans	trans	PROPN
cana-654	241	3	.	.	PUNCT
cana-654	242	1	robot	robot	NOUN
cana-654	242	2	.	.	PUNCT
cana-654	243	1	2022	2022	NUM
cana-654	243	2	,	,	PUNCT
cana-654	243	3	38	38	NUM
cana-654	243	4	,	,	PUNCT
cana-654	243	5	2053–2073	2053–2073	NUM
cana-654	243	6	.	.	PUNCT
cana-654	244	1	[	[	X
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cana-654	244	3	]	]	X
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cana-654	244	5	,	,	PUNCT
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cana-654	244	7	;	;	PUNCT
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cana-654	244	17	;	;	PUNCT
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cana-654	244	19	,	,	PUNCT
cana-654	244	20	h.	h.	PROPN
cana-654	244	21	;	;	PUNCT
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cana-654	244	23	,	,	PUNCT
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cana-654	244	25	.	.	PUNCT
cana-654	245	1	a	a	DET
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cana-654	245	4	on	on	ADP
cana-654	245	5	computer	computer	NOUN
cana-654	245	6	vision	vision	NOUN
cana-654	245	7	and	and	CCONJ
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cana-654	245	9	intelligence	intelligence	NOUN
cana-654	245	10	in	in	ADP
cana-654	245	11	food	food	NOUN
cana-654	245	12	industry	industry	NOUN
cana-654	245	13	.	.	PUNCT
cana-654	246	1	j.	j.	PROPN
cana-654	246	2	agric	agric	PROPN
cana-654	246	3	.	.	PUNCT
cana-654	247	1	food	food	NOUN
cana-654	247	2	res	re	NOUN
cana-654	247	3	.	.	PUNCT
cana-654	248	1	2020	2020	NUM
cana-654	248	2	,	,	PUNCT
cana-654	248	3	2	2	NUM
cana-654	248	4	,	,	PUNCT
cana-654	248	5	100033	100033	NUM
cana-654	248	6	.	.	PUNCT
cana-654	249	1	[	[	X
cana-654	249	2	8	8	NUM
cana-654	249	3	]	]	X
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cana-654	249	5	,	,	PUNCT
cana-654	249	6	h.	h.	PROPN
cana-654	249	7	;	;	PUNCT
cana-654	249	8	wang	wang	PROPN
cana-654	249	9	,	,	PUNCT
cana-654	249	10	t.	t.	PROPN
cana-654	249	11	;	;	PUNCT
cana-654	249	12	liu	liu	PROPN
cana-654	249	13	,	,	PUNCT
cana-654	249	14	y.	y.	PROPN
cana-654	249	15	;	;	PUNCT
cana-654	249	16	qiao	qiao	PROPN
cana-654	249	17	,	,	PUNCT
cana-654	249	18	x.	x.	PROPN
cana-654	249	19	;	;	PUNCT
cana-654	249	20	li	li	PROPN
cana-654	249	21	,	,	PUNCT
cana-654	249	22	y.	y.	PROPN
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cana-654	249	26	in	in	ADP
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cana-654	249	28	automation	automation	NOUN
cana-654	249	29	—	—	PUNCT
cana-654	249	30	a	a	DET
cana-654	249	31	review	review	NOUN
cana-654	249	32	.	.	PUNCT
cana-654	250	1	inf	inf	PROPN
cana-654	250	2	.	.	PUNCT
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cana-654	250	4	.	.	PUNCT
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cana-654	251	2	.	.	PUNCT
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cana-654	252	2	,	,	PUNCT
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cana-654	252	4	,	,	PUNCT
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cana-654	253	1	[	[	X
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cana-654	253	3	]	]	X
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cana-654	253	5	,	,	PUNCT
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cana-654	253	7	;	;	PUNCT
cana-654	253	8	mezzogori	mezzogori	PROPN
cana-654	253	9	,	,	PUNCT
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cana-654	253	11	;	;	PUNCT
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cana-654	253	13	,	,	PUNCT
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cana-654	253	15	;	;	PUNCT
cana-654	253	16	zammori	zammori	X
cana-654	253	17	,	,	PUNCT
cana-654	253	18	f.	f.	PROPN
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cana-654	253	20	learning	learn	VERB
cana-654	253	21	for	for	ADP
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cana-654	253	24	:	:	PUNCT
cana-654	253	25	a	a	DET
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cana-654	253	28	review	review	NOUN
cana-654	253	29	.	.	PUNCT
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cana-654	254	2	syst	syst	PROPN
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cana-654	255	2	.	.	PROPN
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cana-654	255	4	,	,	PUNCT
cana-654	255	5	175	175	NUM
cana-654	255	6	,	,	PUNCT
cana-654	255	7	114820	114820	NUM
cana-654	255	8	.	.	PUNCT
cana-654	256	1	[	[	X
cana-654	256	2	10	10	NUM
cana-654	256	3	]	]	X
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cana-654	256	5	,	,	PUNCT
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cana-654	256	7	;	;	PUNCT
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cana-654	256	9	,	,	PUNCT
cana-654	256	10	h.	h.	PROPN
cana-654	256	11	;	;	PUNCT
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cana-654	256	23	neural	neural	ADJ
cana-654	256	24	networks	network	NOUN
cana-654	256	25	for	for	ADP
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cana-654	259	2	,	,	PUNCT
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cana-654	259	4	,	,	PUNCT
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cana-654	260	1	[	[	X
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cana-654	260	3	]	]	SYM
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cana-654	260	29	:	:	PUNCT
cana-654	260	30	a	a	DET
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cana-654	260	32	-	-	PUNCT
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cana-654	261	3	.	.	PUNCT
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cana-654	262	2	.	.	PUNCT
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cana-654	263	2	.	.	PUNCT
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cana-654	264	2	.	.	PUNCT
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cana-654	265	2	,	,	PUNCT
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cana-654	266	1	[	[	X
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cana-654	266	3	]	]	X
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cana-654	266	19	path	path	NOUN
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cana-654	268	1	[	[	X
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cana-654	268	3	]	]	X
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cana-654	268	5	,	,	PUNCT
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cana-654	268	7	;	;	PUNCT
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cana-654	268	11	;	;	PUNCT
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cana-654	268	13	,	,	PUNCT
cana-654	268	14	z.	z.	PROPN
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cana-654	269	3	path	path	NOUN
cana-654	269	4	planning	planning	NOUN
cana-654	269	5	method	method	NOUN
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cana-654	269	8	sparse	sparse	ADJ
cana-654	269	9	a	a	DET
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cana-654	269	12	with	with	ADP
cana-654	269	13	map	map	NOUN
cana-654	269	14	segmentation	segmentation	NOUN
cana-654	269	15	.	.	PUNCT
cana-654	270	1	trans	trans	PROPN
cana-654	270	2	.	.	PROPN
cana-654	270	3	inst	inst	PROPN
cana-654	270	4	.	.	PUNCT
cana-654	270	5	meas	meas	PROPN
cana-654	270	6	.	.	PUNCT
cana-654	271	1	control	control	NOUN
cana-654	271	2	2022	2022	NUM
cana-654	271	3	,	,	PUNCT
cana-654	271	4	44	44	NUM
cana-654	271	5	,	,	PUNCT
cana-654	271	6	916–925	916–925	NUM
cana-654	271	7	.	.	PUNCT
cana-654	272	1	[	[	X
cana-654	272	2	14	14	NUM
cana-654	272	3	]	]	SYM
cana-654	272	4	schmid	schmid	PROPN
cana-654	272	5	,	,	PUNCT
cana-654	272	6	l.	l.	PROPN
cana-654	272	7	;	;	PUNCT
cana-654	272	8	pantic	pantic	NOUN
cana-654	272	9	,	,	PUNCT
cana-654	272	10	m.	m.	NOUN
cana-654	272	11	;	;	PUNCT
cana-654	272	12	khanna	khanna	PROPN
cana-654	272	13	,	,	PUNCT
cana-654	272	14	r.	r.	PROPN
cana-654	272	15	;	;	PUNCT
cana-654	272	16	ott	ott	PROPN
cana-654	272	17	,	,	PUNCT
cana-654	272	18	l.	l.	PROPN
cana-654	272	19	;	;	PUNCT
cana-654	272	20	siegwart	siegwart	PROPN
cana-654	272	21	,	,	PUNCT
cana-654	272	22	r.	r.	PROPN
cana-654	272	23	;	;	PUNCT
cana-654	272	24	nieto	nieto	PROPN
cana-654	272	25	,	,	PUNCT
cana-654	272	26	j.	j.	PROPN
cana-654	272	27	an	an	DET
cana-654	272	28	efficient	efficient	ADJ
cana-654	272	29	sampling	sampling	NOUN
cana-654	272	30	-	-	PUNCT
cana-654	272	31	based	base	VERB
cana-654	272	32	method	method	NOUN
cana-654	272	33	for	for	ADP
cana-654	272	34	online	online	ADJ
cana-654	272	35	informative	informative	ADJ
cana-654	272	36	path	path	NOUN
cana-654	272	37	planning	planning	NOUN
cana-654	272	38	in	in	ADP
cana-654	272	39	unknown	unknown	ADJ
cana-654	272	40	environments	environment	NOUN
cana-654	272	41	.	.	PUNCT
cana-654	273	1	ieee	ieee	NOUN
cana-654	273	2	robot	robot	NOUN
cana-654	273	3	.	.	PUNCT
cana-654	274	1	autom	autom	PROPN
cana-654	274	2	.	.	PUNCT
cana-654	275	1	lett	lett	PROPN
cana-654	275	2	.	.	PUNCT
cana-654	276	1	2020	2020	NUM
cana-654	276	2	,	,	PUNCT
cana-654	276	3	5	5	NUM
cana-654	276	4	,	,	PUNCT
cana-654	276	5	1500–1507	1500–1507	NUM
cana-654	276	6	.	.	PUNCT
cana-654	277	1	[	[	X
cana-654	277	2	15	15	NUM
cana-654	277	3	]	]	X
cana-654	277	4	noreen	noreen	PROPN
cana-654	277	5	,	,	PUNCT
cana-654	277	6	i.	i.	PROPN
cana-654	277	7	;	;	PUNCT
cana-654	277	8	khan	khan	PROPN
cana-654	277	9	,	,	PUNCT
cana-654	277	10	a.	a.	NOUN
cana-654	277	11	;	;	PUNCT
cana-654	277	12	habib	habib	PROPN
cana-654	277	13	,	,	PUNCT
cana-654	277	14	z.	z.	PROPN
cana-654	277	15	optimal	optimal	ADJ
cana-654	277	16	path	path	NOUN
cana-654	277	17	planning	planning	NOUN
cana-654	277	18	using	use	VERB
cana-654	277	19	rrt	rrt	NOUN
cana-654	277	20	*	*	PUNCT
cana-654	277	21	based	base	VERB
cana-654	277	22	approaches	approach	NOUN
cana-654	277	23	:	:	PUNCT
cana-654	277	24	a	a	DET
cana-654	277	25	survey	survey	NOUN
cana-654	277	26	and	and	CCONJ
cana-654	277	27	future	future	ADJ
cana-654	277	28	directions	direction	NOUN
cana-654	277	29	.	.	PUNCT
cana-654	278	1	int	int	NOUN
cana-654	278	2	.	.	PUNCT
cana-654	279	1	j.	j.	PROPN
cana-654	279	2	adv	adv	PROPN
cana-654	279	3	.	.	PUNCT
cana-654	280	1	comput	comput	PROPN
cana-654	280	2	.	.	PUNCT
cana-654	281	1	sci	sci	PROPN
cana-654	281	2	.	.	PUNCT
cana-654	281	3	appl	appl	PROPN
cana-654	281	4	.	.	PROPN
cana-654	282	1	2016	2016	NUM
cana-654	282	2	,	,	PUNCT
cana-654	282	3	7	7	NUM
cana-654	282	4	,	,	PUNCT
cana-654	282	5	97–107	97–107	PROPN
cana-654	282	6	.	.	PUNCT
cana-654	283	1	[	[	X
cana-654	283	2	16	16	NUM
cana-654	283	3	]	]	PUNCT
cana-654	283	4	talamino	talamino	PROPN
cana-654	283	5	,	,	PUNCT
cana-654	283	6	j.p	j.p	PROPN
cana-654	283	7	.	.	PROPN
cana-654	283	8	;	;	PUNCT
cana-654	283	9	sanfeliu	sanfeliu	NOUN
cana-654	283	10	,	,	PUNCT
cana-654	283	11	a.	a.	NOUN
cana-654	283	12	anticipatory	anticipatory	ADJ
cana-654	283	13	kinodynamic	kinodynamic	ADJ
cana-654	283	14	motion	motion	NOUN
cana-654	283	15	planner	planner	NOUN
cana-654	283	16	for	for	ADP
cana-654	283	17	computing	compute	VERB
cana-654	283	18	the	the	DET
cana-654	283	19	best	good	ADJ
cana-654	283	20	path	path	NOUN
cana-654	283	21	and	and	CCONJ
cana-654	283	22	velocity	velocity	NOUN
cana-654	283	23	trajectory	trajectory	NOUN
cana-654	283	24	in	in	ADP
cana-654	283	25	autonomous	autonomous	ADJ
cana-654	283	26	driving	driving	NOUN
cana-654	283	27	.	.	PUNCT
cana-654	284	1	robot	robot	NOUN
cana-654	284	2	.	.	PUNCT
cana-654	285	1	auton	auton	PROPN
cana-654	285	2	.	.	PUNCT
cana-654	286	1	syst	syst	PROPN
cana-654	286	2	.	.	PUNCT
cana-654	287	1	2019	2019	NUM
cana-654	287	2	,	,	PUNCT
cana-654	287	3	114	114	NUM
cana-654	287	4	,	,	PUNCT
cana-654	287	5	93–105	93–105	NUM
cana-654	287	6	.	.	PUNCT
cana-654	288	1	[	[	X
cana-654	288	2	17	17	NUM
cana-654	288	3	]	]	PUNCT
cana-654	288	4	benko	benko	ADJ
cana-654	288	5	loknar	loknar	NOUN
cana-654	288	6	,	,	PUNCT
cana-654	288	7	m.	m.	NOUN
cana-654	288	8	;	;	PUNCT
cana-654	288	9	klančar	klančar	PROPN
cana-654	288	10	,	,	PUNCT
cana-654	288	11	g.	g.	PROPN
cana-654	288	12	;	;	PUNCT
cana-654	288	13	blažič	blažič	PROPN
cana-654	288	14	,	,	PUNCT
cana-654	288	15	s.	s.	PROPN
cana-654	288	16	minimum	minimum	ADJ
cana-654	288	17	-	-	PUNCT
cana-654	288	18	time	time	NOUN
cana-654	288	19	trajectory	trajectory	NOUN
cana-654	288	20	generation	generation	NOUN
cana-654	288	21	for	for	ADP
cana-654	288	22	wheeled	wheeled	ADJ
cana-654	288	23	mobile	mobile	NOUN
cana-654	288	24	systems	system	NOUN
cana-654	288	25	using	use	VERB
cana-654	288	26	bézier	bézier	NOUN
cana-654	288	27	curves	curve	NOUN
cana-654	288	28	with	with	ADP
cana-654	288	29	constraints	constraint	NOUN
cana-654	288	30	on	on	ADP
cana-654	288	31	velocity	velocity	NOUN
cana-654	288	32	,	,	PUNCT
cana-654	288	33	acceleration	acceleration	NOUN
cana-654	288	34	and	and	CCONJ
cana-654	288	35	jerk	jerk	NOUN
cana-654	288	36	.	.	PUNCT
cana-654	289	1	sensors	sensor	NOUN
cana-654	289	2	2023	2023	NUM
cana-654	289	3	,	,	PUNCT
cana-654	289	4	23	23	NUM
cana-654	289	5	,	,	PUNCT
cana-654	289	6	1982	1982	NUM
cana-654	289	7	.	.	PUNCT
cana-654	290	1	[	[	X
cana-654	290	2	18	18	NUM
cana-654	290	3	]	]	X
cana-654	290	4	chen	chen	PROPN
cana-654	290	5	,	,	PUNCT
cana-654	290	6	f.	f.	PROPN
cana-654	290	7	;	;	PUNCT
cana-654	290	8	wang	wang	PROPN
cana-654	290	9	,	,	PUNCT
cana-654	290	10	m.y	m.y	PROPN
cana-654	290	11	.	.	PROPN
cana-654	290	12	design	design	NOUN
cana-654	290	13	optimization	optimization	NOUN
cana-654	290	14	of	of	ADP
cana-654	290	15	soft	soft	ADJ
cana-654	290	16	robots	robot	NOUN
cana-654	290	17	:	:	PUNCT
cana-654	290	18	a	a	DET
cana-654	290	19	review	review	NOUN
cana-654	290	20	of	of	ADP
cana-654	290	21	the	the	DET
cana-654	290	22	state	state	NOUN
cana-654	290	23	of	of	ADP
cana-654	290	24	the	the	DET
cana-654	290	25	art	art	NOUN
cana-654	290	26	.	.	PUNCT
cana-654	291	1	ieee	ieee	NOUN
cana-654	291	2	robot	robot	NOUN
cana-654	291	3	.	.	PUNCT
cana-654	292	1	autom	autom	PROPN
cana-654	292	2	.	.	PUNCT
cana-654	293	1	mag	mag	PROPN
cana-654	293	2	.	.	PUNCT
cana-654	294	1	2020	2020	NUM
cana-654	294	2	,	,	PUNCT
cana-654	294	3	27	27	NUM
cana-654	294	4	,	,	PUNCT
cana-654	294	5	27–43	27–43	ADJ
cana-654	294	6	communications	communication	NOUN
cana-654	294	7	on	on	ADP
cana-654	294	8	applied	apply	VERB
cana-654	294	9	nonlinear	nonlinear	ADJ
cana-654	294	10	analysis	analysis	NOUN
cana-654	294	11	issn	issn	NOUN
cana-654	294	12	:	:	PUNCT
cana-654	294	13	1074	1074	NUM
cana-654	294	14	-	-	PUNCT
cana-654	294	15	133x	133x	NUM
cana-654	294	16	vol	vol	NOUN
cana-654	294	17	31	31	NUM
cana-654	294	18	no	no	NOUN
cana-654	294	19	.	.	PUNCT
cana-654	295	1	2s	2s	NUM
cana-654	295	2	(	(	PUNCT
cana-654	295	3	2024	2024	NUM
cana-654	295	4	)	)	PUNCT
cana-654	295	5	372	372	NUM
cana-654	295	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-654	296	1	[	[	X
cana-654	296	2	19	19	NUM
cana-654	296	3	]	]	X
cana-654	296	4	takishima	takishima	PROPN
cana-654	296	5	,	,	PUNCT
cana-654	296	6	y.	y.	PROPN
cana-654	296	7	;	;	PUNCT
cana-654	296	8	yoshida	yoshida	PROPN
cana-654	296	9	,	,	PUNCT
cana-654	296	10	k.	k.	PROPN
cana-654	296	11	;	;	PUNCT
cana-654	296	12	khosla	khosla	PROPN
cana-654	296	13	,	,	PUNCT
cana-654	296	14	a.	a.	PROPN
cana-654	296	15	;	;	PUNCT
cana-654	296	16	kawakami	kawakami	PROPN
cana-654	296	17	,	,	PUNCT
cana-654	296	18	m.	m.	NOUN
cana-654	296	19	;	;	PUNCT
cana-654	296	20	furukawa	furukawa	PROPN
cana-654	296	21	,	,	PUNCT
cana-654	296	22	h.	h.	PROPN
cana-654	296	23	fully	fully	ADV
cana-654	296	24	3d	3d	ADV
cana-654	296	25	-	-	PUNCT
cana-654	296	26	printed	print	VERB
cana-654	296	27	hydrogel	hydrogel	NOUN
cana-654	296	28	actuator	actuator	NOUN
cana-654	296	29	for	for	ADP
cana-654	296	30	jellyfish	jellyfish	ADJ
cana-654	296	31	soft	soft	ADJ
cana-654	296	32	robots	robot	NOUN
cana-654	296	33	.	.	PUNCT
cana-654	297	1	ecs	ecs	PROPN
cana-654	297	2	j.	j.	PROPN
cana-654	297	3	solid	solid	PROPN
cana-654	297	4	state	state	PROPN
cana-654	297	5	sci	sci	PROPN
cana-654	297	6	.	.	PROPN
cana-654	297	7	technol	technol	PROPN
cana-654	297	8	.	.	PROPN
cana-654	297	9	2021	2021	NUM
cana-654	297	10	,	,	PUNCT
cana-654	297	11	10	10	NUM
cana-654	297	12	,	,	PUNCT
cana-654	297	13	037002	037002	NUM
cana-654	297	14	.	.	PUNCT
cana-654	298	1	[	[	X
cana-654	298	2	20	20	NUM
cana-654	298	3	]	]	X
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cana-654	298	5	,	,	PUNCT
cana-654	298	6	l.a	l.a	PROPN
cana-654	298	7	.	.	PROPN
cana-654	298	8	;	;	PUNCT
cana-654	298	9	martyushev	martyushev	PROPN
cana-654	298	10	,	,	PUNCT
cana-654	298	11	d.a	d.a	PROPN
cana-654	298	12	.	.	PROPN
cana-654	298	13	;	;	PUNCT
cana-654	298	14	ponomareva	ponomareva	PROPN
cana-654	298	15	,	,	PUNCT
cana-654	298	16	i.n	i.n	PROPN
cana-654	298	17	.	.	PROPN
cana-654	298	18	predicting	predict	VERB
cana-654	298	19	dynamic	dynamic	ADJ
cana-654	298	20	formation	formation	NOUN
cana-654	298	21	pressure	pressure	NOUN
cana-654	298	22	using	use	VERB
cana-654	298	23	artificial	artificial	ADJ
cana-654	298	24	intelligence	intelligence	NOUN
cana-654	298	25	methods	method	NOUN
cana-654	298	26	.	.	PUNCT
cana-654	299	1	j.	j.	PROPN
cana-654	299	2	min	min	PROPN
cana-654	299	3	.	.	PROPN
cana-654	299	4	inst	inst	PROPN
cana-654	299	5	.	.	PROPN
cana-654	299	6	2022	2022	NUM
cana-654	299	7	,	,	PUNCT
cana-654	299	8	253	253	NUM
cana-654	299	9	,	,	PUNCT
cana-654	299	10	23–32	23–32	NUM
cana-654	299	11	.	.	PUNCT
cana-654	300	1	[	[	X
cana-654	300	2	21	21	NUM
cana-654	300	3	]	]	X
cana-654	300	4	filippov	filippov	NOUN
cana-654	300	5	,	,	PUNCT
cana-654	300	6	e.v	e.v	PROPN
cana-654	300	7	.	.	PUNCT
cana-654	300	8	;	;	PUNCT
cana-654	300	9	zaharov	zaharov	PROPN
cana-654	300	10	,	,	PUNCT
cana-654	300	11	l.a	l.a	PROPN
cana-654	300	12	.	.	PROPN
cana-654	300	13	;	;	PUNCT
cana-654	300	14	martyushev	martyushev	PROPN
cana-654	300	15	,	,	PUNCT
cana-654	300	16	d.a	d.a	PROPN
cana-654	300	17	.	.	PROPN
cana-654	300	18	;	;	PUNCT
cana-654	300	19	ponomareva	ponomareva	PROPN
cana-654	300	20	,	,	PUNCT
cana-654	300	21	i.n	i.n	PROPN
cana-654	300	22	.	.	PROPN
cana-654	300	23	reproduction	reproduction	NOUN
cana-654	300	24	of	of	ADP
cana-654	300	25	reservoir	reservoir	NOUN
cana-654	300	26	pressure	pressure	NOUN
cana-654	300	27	by	by	ADP
cana-654	300	28	machine	machine	NOUN
cana-654	300	29	learning	learning	NOUN
cana-654	300	30	methods	method	NOUN
cana-654	300	31	and	and	CCONJ
cana-654	300	32	study	study	NOUN
cana-654	300	33	of	of	ADP
cana-654	300	34	its	its	PRON
cana-654	300	35	influence	influence	NOUN
cana-654	300	36	on	on	ADP
cana-654	300	37	the	the	DET
cana-654	300	38	cracks	crack	NOUN
cana-654	300	39	formation	formation	NOUN
cana-654	300	40	process	process	NOUN
cana-654	300	41	in	in	ADP
cana-654	300	42	hydraulic	hydraulic	ADJ
cana-654	300	43	fracturing	fracturing	NOUN
cana-654	300	44	.	.	PUNCT
cana-654	301	1	j.	j.	PROPN
cana-654	301	2	min	min	PROPN
cana-654	301	3	.	.	PROPN
cana-654	301	4	inst	inst	PROPN
cana-654	301	5	.	.	PROPN
cana-654	301	6	2022	2022	NUM
cana-654	301	7	,	,	PUNCT
cana-654	301	8	258	258	NUM
cana-654	301	9	,	,	PUNCT
cana-654	301	10	924–932	924–932	NUM
cana-654	301	11	.	.	PUNCT
cana-654	302	1	[	[	X
cana-654	302	2	22	22	NUM
cana-654	302	3	]	]	PUNCT
cana-654	302	4	islamov	islamov	NOUN
cana-654	302	5	,	,	PUNCT
cana-654	302	6	s.	s.	PROPN
cana-654	302	7	;	;	PUNCT
cana-654	302	8	grigoriev	grigoriev	PROPN
cana-654	302	9	,	,	PUNCT
cana-654	302	10	a.	a.	NOUN
cana-654	302	11	;	;	PUNCT
cana-654	302	12	beloglazov	beloglazov	NOUN
cana-654	302	13	,	,	PUNCT
cana-654	302	14	i.	i.	PROPN
cana-654	302	15	;	;	PUNCT
cana-654	302	16	savchenkov	savchenkov	PROPN
cana-654	302	17	,	,	PUNCT
cana-654	302	18	s.	s.	PROPN
cana-654	302	19	;	;	PUNCT
cana-654	302	20	gudmestad	gudmestad	PROPN
cana-654	302	21	,	,	PUNCT
cana-654	302	22	o.t	o.t	PROPN
cana-654	302	23	.	.	PROPN
cana-654	302	24	research	research	NOUN
cana-654	302	25	risk	risk	NOUN
cana-654	302	26	factors	factor	NOUN
cana-654	302	27	in	in	ADP
cana-654	302	28	monitoring	monitor	VERB
cana-654	302	29	well	well	ADV
cana-654	302	30	drilling	drilling	NOUN
cana-654	302	31	—	—	PUNCT
cana-654	302	32	a.	a.	NOUN
cana-654	302	33	case	case	NOUN
cana-654	302	34	study	study	NOUN
cana-654	302	35	using	use	VERB
cana-654	302	36	machine	machine	NOUN
cana-654	302	37	learning	learning	NOUN
cana-654	302	38	methods	method	NOUN
cana-654	302	39	.	.	PUNCT
cana-654	303	1	symmetry	symmetry	NOUN
cana-654	303	2	2021	2021	NUM
cana-654	303	3	,	,	PUNCT
cana-654	303	4	13	13	NUM
cana-654	303	5	,	,	PUNCT
cana-654	303	6	1293	1293	NUM
cana-654	303	7	.	.	PUNCT
cana-654	304	1	[	[	X
cana-654	304	2	23	23	NUM
cana-654	304	3	]	]	X
cana-654	304	4	montiel	montiel	PROPN
cana-654	304	5	,	,	PUNCT
cana-654	304	6	j.	j.	PROPN
cana-654	304	7	;	;	PUNCT
cana-654	304	8	halford	halford	PROPN
cana-654	304	9	,	,	PUNCT
cana-654	304	10	m.	m.	NOUN
cana-654	304	11	;	;	PUNCT
cana-654	304	12	mastelini	mastelini	ADJ
cana-654	304	13	,	,	PUNCT
cana-654	304	14	s.m	s.m	PROPN
cana-654	304	15	.	.	PROPN
cana-654	304	16	;	;	PUNCT
cana-654	304	17	bolmier	bolmier	NOUN
cana-654	304	18	,	,	PUNCT
cana-654	304	19	g.	g.	PROPN
cana-654	304	20	;	;	PUNCT
cana-654	304	21	sourty	sourty	PROPN
cana-654	304	22	,	,	PUNCT
cana-654	304	23	r.	r.	PROPN
cana-654	304	24	;	;	PUNCT
cana-654	304	25	vaysse	vaysse	PROPN
cana-654	304	26	,	,	PUNCT
cana-654	304	27	r.	r.	PROPN
cana-654	304	28	;	;	PUNCT
cana-654	304	29	zouitine	zouitine	PROPN
cana-654	304	30	,	,	PUNCT
cana-654	304	31	a.	a.	NOUN
cana-654	304	32	;	;	PUNCT
cana-654	304	33	gomes	gomes	PROPN
cana-654	304	34	,	,	PUNCT
cana-654	304	35	h.m	h.m	PROPN
cana-654	304	36	.	.	PROPN
cana-654	304	37	;	;	PUNCT
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cana-654	304	39	,	,	PUNCT
cana-654	304	40	j.	j.	PROPN
cana-654	304	41	;	;	PUNCT
cana-654	304	42	abdessalem	abdessalem	PROPN
cana-654	304	43	,	,	PUNCT
cana-654	304	44	t.	t.	PROPN
cana-654	304	45	;	;	PUNCT
cana-654	304	46	et	et	PROPN
cana-654	304	47	al	al	PROPN
cana-654	304	48	.	.	PROPN
cana-654	304	49	river	river	PROPN
cana-654	304	50	:	:	PUNCT
cana-654	304	51	machine	machine	NOUN
cana-654	304	52	learning	learn	VERB
cana-654	304	53	for	for	ADP
cana-654	304	54	streaming	streaming	NOUN
cana-654	304	55	data	datum	NOUN
cana-654	304	56	in	in	ADP
cana-654	304	57	python	python	PROPN
cana-654	304	58	.	.	PUNCT
cana-654	305	1	j.	j.	PROPN
cana-654	305	2	mach	mach	PROPN
cana-654	305	3	.	.	PUNCT
cana-654	306	1	learn	learn	VERB
cana-654	306	2	.	.	PUNCT
cana-654	307	1	res	re	NOUN
cana-654	307	2	.	.	PROPN
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cana-654	307	4	,	,	PUNCT
cana-654	307	5	22	22	NUM
cana-654	307	6	,	,	PUNCT
cana-654	307	7	4945–4952	4945–4952	NOUN
cana-654	307	8	.	.	PUNCT
cana-654	308	1	[	[	X
cana-654	308	2	24	24	NUM
cana-654	308	3	]	]	X
cana-654	308	4	sun	sun	NOUN
cana-654	308	5	,	,	PUNCT
cana-654	308	6	w.	w.	PROPN
cana-654	308	7	;	;	PUNCT
cana-654	308	8	akashi	akashi	PROPN
cana-654	308	9	,	,	PUNCT
cana-654	308	10	n.	n.	PROPN
cana-654	308	11	;	;	PUNCT
cana-654	308	12	kuniyoshi	kuniyoshi	PROPN
cana-654	308	13	,	,	PUNCT
cana-654	308	14	y.	y.	PROPN
cana-654	308	15	;	;	PUNCT
cana-654	308	16	nakajima	nakajima	PROPN
cana-654	308	17	,	,	PUNCT
cana-654	308	18	k.	k.	PROPN
cana-654	308	19	physics	physics	PROPN
cana-654	308	20	-	-	PUNCT
cana-654	308	21	informed	inform	VERB
cana-654	308	22	recurrent	recurrent	ADJ
cana-654	308	23	neural	neural	ADJ
cana-654	308	24	networks	network	NOUN
cana-654	308	25	for	for	ADP
cana-654	308	26	soft	soft	ADJ
cana-654	308	27	pneumatic	pneumatic	ADJ
cana-654	308	28	actuators	actuator	NOUN
cana-654	308	29	.	.	PUNCT
cana-654	309	1	ieee	ieee	NOUN
cana-654	309	2	robot	robot	NOUN
cana-654	309	3	.	.	PUNCT
cana-654	310	1	autom	autom	PROPN
cana-654	310	2	.	.	PUNCT
cana-654	311	1	lett	lett	PROPN
cana-654	311	2	.	.	PUNCT
cana-654	311	3	2022	2022	NUM
cana-654	311	4	,	,	PUNCT
cana-654	311	5	7	7	NUM
cana-654	311	6	,	,	PUNCT
cana-654	311	7	6862–6869	6862–6869	NUM
cana-654	311	8	.	.	PUNCT
cana-654	312	1	[	[	X
cana-654	312	2	25	25	NUM
cana-654	312	3	]	]	X
cana-654	312	4	ibrahim	ibrahim	PROPN
cana-654	312	5	,	,	PUNCT
cana-654	312	6	a.	a.	PROPN
cana-654	312	7	,	,	PUNCT
cana-654	312	8	bala	bala	PROPN
cana-654	312	9	,	,	PUNCT
cana-654	312	10	s.i	s.i	PROPN
cana-654	312	11	.	.	PROPN
cana-654	312	12	,	,	PUNCT
cana-654	312	13	ahmed	ahmed	PROPN
cana-654	312	14	,	,	PUNCT
cana-654	312	15	i.	i.	PROPN
cana-654	312	16	,	,	PUNCT
cana-654	312	17	ibrahim	ibrahim	PROPN
cana-654	312	18	,	,	PUNCT
cana-654	312	19	m.j	m.j	PROPN
cana-654	312	20	.	.	PROPN
cana-654	312	21	,	,	PUNCT
cana-654	312	22	jarad	jarad	PROPN
cana-654	312	23	,	,	PUNCT
cana-654	312	24	f.	f.	PROPN
cana-654	312	25	,	,	PUNCT
cana-654	312	26	"	"	PUNCT
cana-654	312	27	numerical	numerical	ADJ
cana-654	312	28	construction	construction	NOUN
cana-654	312	29	of	of	ADP
cana-654	312	30	lyapunov	lyapunov	ADJ
cana-654	312	31	functions	function	NOUN
cana-654	312	32	using	use	VERB
cana-654	312	33	homotopy	homotopy	NOUN
cana-654	312	34	continuation	continuation	NOUN
cana-654	312	35	method	method	NOUN
cana-654	312	36	"	"	PUNCT
cana-654	312	37	(	(	PUNCT
cana-654	312	38	2022	2022	NUM
cana-654	312	39	)	)	PUNCT
cana-654	312	40	advances	advance	NOUN
cana-654	312	41	in	in	ADP
cana-654	312	42	the	the	DET
cana-654	312	43	theory	theory	NOUN
cana-654	312	44	of	of	ADP
cana-654	312	45	nonlinear	nonlinear	ADJ
cana-654	312	46	analysis	analysis	NOUN
cana-654	312	47	and	and	CCONJ
cana-654	312	48	its	its	PRON
cana-654	312	49	applications	application	NOUN
cana-654	312	50	,	,	PUNCT
cana-654	312	51	6	6	NUM
cana-654	312	52	(	(	PUNCT
cana-654	312	53	3	3	NUM
cana-654	312	54	)	)	PUNCT
cana-654	312	55	,	,	PUNCT
cana-654	312	56	pp	pp	PROPN
cana-654	312	57	.	.	PUNCT
cana-654	313	1	354	354	NUM
cana-654	313	2	-	-	SYM
cana-654	313	3	363	363	NUM
cana-654	313	4	.	.	PUNCT
cana-654	314	1	[	[	X
cana-654	314	2	26	26	NUM
cana-654	314	3	]	]	X
cana-654	314	4	kessi	kessi	PROPN
cana-654	314	5	,	,	PUNCT
cana-654	314	6	a.	a.	NOUN
cana-654	314	7	,	,	PUNCT
cana-654	314	8	laadj	laadj	PROPN
cana-654	314	9	,	,	PUNCT
cana-654	314	10	t.	t.	PROPN
cana-654	314	11	,	,	PUNCT
cana-654	314	12	yahi	yahi	PROPN
cana-654	314	13	,	,	PUNCT
cana-654	314	14	m.	m.	NOUN
cana-654	314	15	,	,	PUNCT
cana-654	314	16	"	"	PUNCT
cana-654	314	17	on	on	ADP
cana-654	314	18	the	the	DET
cana-654	314	19	integration	integration	NOUN
cana-654	314	20	of	of	ADP
cana-654	314	21	first	first	ADJ
cana-654	314	22	order	order	NOUN
cana-654	314	23	nonlinear	nonlinear	ADJ
cana-654	314	24	differential	differential	ADJ
cana-654	314	25	equations	equation	NOUN
cana-654	314	26	and	and	CCONJ
cana-654	314	27	the	the	DET
cana-654	314	28	conditions	condition	NOUN
cana-654	314	29	of	of	ADP
cana-654	314	30	fuchs	fuchs	PROPN
cana-654	314	31	'	'	PART
cana-654	314	32	theorem	theorem	NOUN
cana-654	314	33	"	"	PUNCT
cana-654	314	34	,	,	PUNCT
cana-654	314	35	(	(	PUNCT
cana-654	314	36	2022	2022	NUM
cana-654	314	37	)	)	PUNCT
cana-654	314	38	advances	advance	NOUN
cana-654	314	39	in	in	ADP
cana-654	314	40	the	the	DET
cana-654	314	41	theory	theory	NOUN
cana-654	314	42	of	of	ADP
cana-654	314	43	nonlinear	nonlinear	ADJ
cana-654	314	44	analysis	analysis	NOUN
cana-654	314	45	and	and	CCONJ
cana-654	314	46	its	its	PRON
cana-654	314	47	applications	application	NOUN
cana-654	314	48	,	,	PUNCT
cana-654	314	49	6	6	NUM
cana-654	314	50	(	(	PUNCT
cana-654	314	51	3	3	NUM
cana-654	314	52	)	)	PUNCT
cana-654	314	53	,	,	PUNCT
cana-654	314	54	pp	pp	ADP
cana-654	314	55	.	.	PUNCT
cana-654	314	56	347353	347353	NUM
cana-654	314	57	.	.	PUNCT
cana-654	315	1	[	[	X
cana-654	315	2	27	27	NUM
cana-654	315	3	]	]	X
cana-654	315	4	goyal	goyal	PROPN
cana-654	315	5	,	,	PUNCT
cana-654	315	6	dinesh	dinesh	PROPN
cana-654	315	7	,	,	PUNCT
cana-654	315	8	kumar	kumar	PROPN
cana-654	315	9	,	,	PUNCT
cana-654	315	10	anil	anil	PROPN
cana-654	315	11	,	,	PUNCT
cana-654	315	12	gandhi	gandhi	PROPN
cana-654	315	13	,	,	PUNCT
cana-654	315	14	yatin	yatin	NOUN
cana-654	315	15	&	&	CCONJ
cana-654	315	16	khetani	khetani	PROPN
cana-654	315	17	,	,	PUNCT
cana-654	315	18	vinit	vinit	NOUN
cana-654	315	19	(	(	PUNCT
cana-654	315	20	2024	2024	NUM
cana-654	315	21	)	)	PUNCT
cana-654	315	22	securing	secure	VERB
cana-654	315	23	wireless	wireless	ADJ
cana-654	315	24	sensor	sensor	NOUN
cana-654	315	25	networks	network	NOUN
cana-654	315	26	with	with	ADP
cana-654	315	27	novel	novel	ADJ
cana-654	315	28	hybrid	hybrid	ADJ
cana-654	315	29	lightweight	lightweight	ADJ
cana-654	315	30	cryptographic	cryptographic	ADJ
cana-654	315	31	protocols	protocol	NOUN
cana-654	315	32	,	,	PUNCT
cana-654	315	33	journal	journal	NOUN
cana-654	315	34	of	of	ADP
cana-654	315	35	discrete	discrete	ADJ
cana-654	315	36	mathematical	mathematical	ADJ
cana-654	315	37	sciences	science	NOUN
cana-654	315	38	and	and	CCONJ
cana-654	315	39	cryptography	cryptography	NOUN
cana-654	315	40	,	,	PUNCT
cana-654	315	41	27:2	27:2	NUM
cana-654	315	42	-	-	SYM
cana-654	315	43	b	b	NOUN
cana-654	315	44	,	,	PUNCT
cana-654	315	45	703–714	703–714	NUM
cana-654	315	46	,	,	PUNCT
cana-654	315	47	doi	doi	NOUN
cana-654	315	48	:	:	PUNCT
cana-654	315	49	10.47974	10.47974	NUM
cana-654	315	50	/	/	SYM
cana-654	315	51	jdmsc-1921	jdmsc-1921	NOUN
cana-654	315	52	[	[	X
cana-654	315	53	28	28	NUM
cana-654	315	54	]	]	X
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cana-654	315	56	deshpande	deshpande	PROPN
cana-654	315	57	,	,	PUNCT
cana-654	315	58	r.	r.	PROPN
cana-654	315	59	dhabliya	dhabliya	PROPN
cana-654	315	60	,	,	PUNCT
cana-654	315	61	d.	d.	PROPN
cana-654	315	62	khubalkar	khubalkar	PROPN
cana-654	315	63	,	,	PUNCT
cana-654	315	64	p.	p.	NOUN
cana-654	315	65	a.	a.	NOUN
cana-654	315	66	upadhye	upadhye	NOUN
cana-654	315	67	,	,	PUNCT
cana-654	315	68	k.	k.	PROPN
cana-654	315	69	a.	a.	PROPN
cana-654	315	70	wagh	wagh	PROPN
cana-654	315	71	and	and	CCONJ
cana-654	315	72	v.	v.	ADP
cana-654	315	73	khetani	khetani	X
cana-654	315	74	,	,	PUNCT
cana-654	315	75	"	"	PUNCT
cana-654	315	76	alzheimer	alzheimer	NOUN
cana-654	315	77	disease	disease	NOUN
cana-654	315	78	progression	progression	NOUN
cana-654	315	79	forecasting	forecasting	NOUN
cana-654	315	80	:	:	PUNCT
cana-654	315	81	empowering	empower	VERB
cana-654	315	82	models	model	NOUN
cana-654	315	83	through	through	ADP
cana-654	315	84	hybrid	hybrid	NOUN
cana-654	315	85	of	of	ADP
cana-654	315	86	cnn	cnn	PROPN
cana-654	315	87	and	and	CCONJ
cana-654	315	88	lstm	lstm	NOUN
cana-654	315	89	with	with	ADP
cana-654	315	90	pso	pso	NOUN
cana-654	315	91	op	op	NOUN
cana-654	315	92	-	-	PUNCT
cana-654	315	93	timization	timization	NOUN
cana-654	315	94	,	,	PUNCT
cana-654	315	95	"	"	PUNCT
cana-654	315	96	2024	2024	NUM
cana-654	315	97	international	international	ADJ
cana-654	315	98	conference	conference	NOUN
cana-654	315	99	on	on	ADP
cana-654	315	100	emerging	emerge	VERB
cana-654	315	101	smart	smart	ADJ
cana-654	315	102	computing	computing	NOUN
cana-654	315	103	and	and	CCONJ
cana-654	315	104	informatics	informatics	PROPN
cana-654	315	105	(	(	PUNCT
cana-654	315	106	esci	esci	PROPN
cana-654	315	107	)	)	PUNCT
cana-654	315	108	,	,	PUNCT
cana-654	315	109	pune	pune	NOUN
cana-654	315	110	,	,	PUNCT
cana-654	315	111	india	india	PROPN
cana-654	315	112	,	,	PUNCT
cana-654	315	113	2024	2024	NUM
cana-654	315	114	,	,	PUNCT
cana-654	315	115	pp	pp	ADJ
cana-654	315	116	.	.	PUNCT
cana-654	315	117	15	15	NUM
cana-654	315	118	,	,	PUNCT
cana-654	315	119	doi	doi	NOUN
cana-654	315	120	:	:	PUNCT
cana-654	315	121	10.1109	10.1109	NUM
cana-654	315	122	/	/	SYM
cana-654	315	123	esci59607.2024.10497309	esci59607.2024.10497309	PROPN
cana-654	315	124	.	.	PUNCT