id	sid	tid	token	lemma	pos
cana-5078	1	1	communications	communication	NOUN
cana-5078	1	2	on	on	ADP
cana-5078	1	3	applied	apply	VERB
cana-5078	1	4	nonlinear	nonlinear	ADJ
cana-5078	1	5	analysis	analysis	NOUN
cana-5078	1	6	issn	issn	NOUN
cana-5078	1	7	:	:	PUNCT
cana-5078	1	8	1074	1074	NUM
cana-5078	1	9	-	-	PUNCT
cana-5078	1	10	133x	133x	NUM
cana-5078	1	11	vol	vol	NOUN
cana-5078	1	12	32	32	NUM
cana-5078	1	13	no	no	NOUN
cana-5078	1	14	.	.	PUNCT
cana-5078	2	1	icmasd	icmasd	NOUN
cana-5078	2	2	(	(	PUNCT
cana-5078	2	3	2025	2025	NUM
cana-5078	2	4	)	)	PUNCT
cana-5078	2	5	510	510	NUM
cana-5078	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5078	2	7	a	a	DET
cana-5078	2	8	systematic	systematic	ADJ
cana-5078	2	9	review	review	NOUN
cana-5078	2	10	on	on	ADP
cana-5078	2	11	the	the	DET
cana-5078	2	12	prediction	prediction	NOUN
cana-5078	2	13	of	of	ADP
cana-5078	2	14	hurricanes	hurricane	NOUN
cana-5078	2	15	by	by	ADP
cana-5078	2	16	utilizing	utilize	VERB
cana-5078	2	17	machine	machine	NOUN
cana-5078	2	18	learning	learn	VERB
cana-5078	2	19	techniques	technique	NOUN
cana-5078	2	20	isha	isha	PROPN
cana-5078	2	21	malik1	malik1	PROPN
cana-5078	2	22	,	,	PUNCT
cana-5078	2	23	kamal	kamal	PROPN
cana-5078	2	24	malik1	malik1	PROPN
cana-5078	2	25	*	*	PROPN
cana-5078	2	26	1	1	NUM
cana-5078	2	27	ct	ct	PROPN
cana-5078	2	28	university	university	NOUN
cana-5078	2	29	,	,	PUNCT
cana-5078	2	30	ludhiana	ludhiana	PROPN
cana-5078	2	31	corresponding	correspond	VERB
cana-5078	2	32	author	author	NOUN
cana-5078	2	33	’s	’s	PART
cana-5078	2	34	email	email	NOUN
cana-5078	3	1	i	i	PROPN
cana-5078	3	2	d	d	PROPN
cana-5078	3	3	:	:	PUNCT
cana-5078	3	4	ishaarora1225@gmail.com	ishaarora1225@gmail.com	NOUN
cana-5078	3	5	;	;	PUNCT
cana-5078	3	6	professorkamalmalik@gmail.com	professorkamalmalik@gmail.com	X
cana-5078	3	7	article	article	NOUN
cana-5078	3	8	history	history	NOUN
cana-5078	3	9	:	:	PUNCT
cana-5078	3	10	received	receive	VERB
cana-5078	3	11	:	:	PUNCT
cana-5078	3	12	12	12	NUM
cana-5078	3	13	-	-	SYM
cana-5078	3	14	12	12	NUM
cana-5078	3	15	-	-	PUNCT
cana-5078	3	16	2024	2024	NUM
cana-5078	3	17	revised	revise	VERB
cana-5078	3	18	:	:	PUNCT
cana-5078	3	19	25	25	NUM
cana-5078	3	20	-	-	PUNCT
cana-5078	3	21	01	01	NUM
cana-5078	3	22	-	-	PUNCT
cana-5078	3	23	2025	2025	NUM
cana-5078	3	24	accepted	accept	VERB
cana-5078	3	25	:	:	PUNCT
cana-5078	3	26	05	05	NUM
cana-5078	3	27	-	-	PUNCT
cana-5078	3	28	02	02	NUM
cana-5078	3	29	-	-	PUNCT
cana-5078	3	30	2025	2025	NUM
cana-5078	3	31	abstract	abstract	NOUN
cana-5078	3	32	:	:	PUNCT
cana-5078	3	33	hurricanes	hurricane	NOUN
cana-5078	3	34	are	be	AUX
cana-5078	3	35	powerful	powerful	ADJ
cana-5078	3	36	,	,	PUNCT
cana-5078	3	37	large	large	ADJ
cana-5078	3	38	-	-	PUNCT
cana-5078	3	39	scale	scale	NOUN
cana-5078	3	40	tropical	tropical	ADJ
cana-5078	3	41	cyclones	cyclone	NOUN
cana-5078	3	42	that	that	PRON
cana-5078	3	43	form	form	VERB
cana-5078	3	44	over	over	ADP
cana-5078	3	45	warm	warm	ADJ
cana-5078	3	46	ocean	ocean	NOUN
cana-5078	3	47	waters	water	NOUN
cana-5078	3	48	in	in	ADP
cana-5078	3	49	the	the	DET
cana-5078	3	50	atlantic	atlantic	PROPN
cana-5078	3	51	ocean	ocean	PROPN
cana-5078	3	52	and	and	CCONJ
cana-5078	3	53	eastern	eastern	PROPN
cana-5078	3	54	pacific	pacific	PROPN
cana-5078	3	55	ocean	ocean	PROPN
cana-5078	3	56	.	.	PUNCT
cana-5078	4	1	these	these	DET
cana-5078	4	2	massive	massive	ADJ
cana-5078	4	3	storm	storm	NOUN
cana-5078	4	4	systems	system	NOUN
cana-5078	4	5	are	be	AUX
cana-5078	4	6	characterized	characterize	VERB
cana-5078	4	7	by	by	ADP
cana-5078	4	8	their	their	PRON
cana-5078	4	9	distinctive	distinctive	ADJ
cana-5078	4	10	circular	circular	ADJ
cana-5078	4	11	shape	shape	NOUN
cana-5078	4	12	and	and	CCONJ
cana-5078	4	13	intense	intense	ADJ
cana-5078	4	14	wind	wind	NOUN
cana-5078	4	15	speeds	speed	NOUN
cana-5078	4	16	.	.	PUNCT
cana-5078	5	1	objective	objective	NOUN
cana-5078	5	2	:	:	PUNCT
cana-5078	5	3	to	to	PART
cana-5078	5	4	conduct	conduct	VERB
cana-5078	5	5	a	a	DET
cana-5078	5	6	comprehensive	comprehensive	ADJ
cana-5078	5	7	systematic	systematic	ADJ
cana-5078	5	8	review	review	NOUN
cana-5078	5	9	of	of	ADP
cana-5078	5	10	artificial	artificial	ADJ
cana-5078	5	11	intelligence	intelligence	NOUN
cana-5078	5	12	(	(	PUNCT
cana-5078	5	13	ai	ai	NOUN
cana-5078	5	14	)	)	PUNCT
cana-5078	5	15	techniques	technique	NOUN
cana-5078	5	16	for	for	ADP
cana-5078	5	17	hurricane	hurricane	NOUN
cana-5078	5	18	prediction	prediction	NOUN
cana-5078	5	19	,	,	PUNCT
cana-5078	5	20	analysing	analyse	VERB
cana-5078	5	21	the	the	DET
cana-5078	5	22	current	current	ADJ
cana-5078	5	23	state	state	NOUN
cana-5078	5	24	of	of	ADP
cana-5078	5	25	technological	technological	ADJ
cana-5078	5	26	innovations	innovation	NOUN
cana-5078	5	27	,	,	PUNCT
cana-5078	5	28	methodological	methodological	ADJ
cana-5078	5	29	approaches	approach	NOUN
cana-5078	5	30	,	,	PUNCT
cana-5078	5	31	and	and	CCONJ
cana-5078	5	32	predictive	predictive	ADJ
cana-5078	5	33	capabilities	capability	NOUN
cana-5078	5	34	in	in	ADP
cana-5078	5	35	meteorological	meteorological	ADJ
cana-5078	5	36	forecasting	forecasting	NOUN
cana-5078	5	37	.	.	PUNCT
cana-5078	6	1	background	background	NOUN
cana-5078	6	2	:	:	PUNCT
cana-5078	6	3	hurricanes	hurricane	NOUN
cana-5078	6	4	represent	represent	VERB
cana-5078	6	5	one	one	NUM
cana-5078	6	6	of	of	ADP
cana-5078	6	7	the	the	DET
cana-5078	6	8	most	most	ADV
cana-5078	6	9	destructive	destructive	ADJ
cana-5078	6	10	natural	natural	ADJ
cana-5078	6	11	phenomena	phenomenon	NOUN
cana-5078	6	12	,	,	PUNCT
cana-5078	6	13	causing	cause	VERB
cana-5078	6	14	significant	significant	ADJ
cana-5078	6	15	economic	economic	ADJ
cana-5078	6	16	and	and	CCONJ
cana-5078	6	17	humanitarian	humanitarian	ADJ
cana-5078	6	18	impacts	impact	NOUN
cana-5078	6	19	globally	globally	ADV
cana-5078	6	20	.	.	PUNCT
cana-5078	7	1	traditional	traditional	ADJ
cana-5078	7	2	forecasting	forecasting	NOUN
cana-5078	7	3	methods	method	NOUN
cana-5078	7	4	have	have	VERB
cana-5078	7	5	limitations	limitation	NOUN
cana-5078	7	6	in	in	ADP
cana-5078	7	7	accurately	accurately	ADV
cana-5078	7	8	predicting	predict	VERB
cana-5078	7	9	hurricane	hurricane	NOUN
cana-5078	7	10	trajectories	trajectory	NOUN
cana-5078	7	11	,	,	PUNCT
cana-5078	7	12	intensities	intensity	NOUN
cana-5078	7	13	,	,	PUNCT
cana-5078	7	14	and	and	CCONJ
cana-5078	7	15	potential	potential	ADJ
cana-5078	7	16	impacts	impact	NOUN
cana-5078	7	17	,	,	PUNCT
cana-5078	7	18	necessitating	necessitate	VERB
cana-5078	7	19	advanced	advanced	ADJ
cana-5078	7	20	computational	computational	ADJ
cana-5078	7	21	approaches	approach	NOUN
cana-5078	7	22	.	.	PUNCT
cana-5078	8	1	methodology	methodology	NOUN
cana-5078	8	2	:	:	PUNCT
cana-5078	8	3	in	in	ADP
cana-5078	8	4	this	this	DET
cana-5078	8	5	paper	paper	NOUN
cana-5078	8	6	,	,	PUNCT
cana-5078	8	7	a	a	DET
cana-5078	8	8	systematic	systematic	ADJ
cana-5078	8	9	review	review	NOUN
cana-5078	8	10	is	be	AUX
cana-5078	8	11	conducted	conduct	VERB
cana-5078	8	12	by	by	ADP
cana-5078	8	13	following	follow	VERB
cana-5078	8	14	the	the	DET
cana-5078	8	15	preferred	preferred	ADJ
cana-5078	8	16	reporting	reporting	NOUN
cana-5078	8	17	items	item	NOUN
cana-5078	8	18	for	for	ADP
cana-5078	8	19	systematic	systematic	ADJ
cana-5078	8	20	reviews	review	NOUN
cana-5078	8	21	and	and	CCONJ
cana-5078	8	22	meta	meta	NOUN
cana-5078	8	23	-	-	PUNCT
cana-5078	8	24	analyses	analysis	NOUN
cana-5078	8	25	(	(	PUNCT
cana-5078	8	26	prisma	prisma	NOUN
cana-5078	8	27	)	)	PUNCT
cana-5078	8	28	guidelines	guideline	NOUN
cana-5078	8	29	.	.	PUNCT
cana-5078	9	1	comprehensive	comprehensive	ADJ
cana-5078	9	2	searches	search	NOUN
cana-5078	9	3	were	be	AUX
cana-5078	9	4	performed	perform	VERB
cana-5078	9	5	across	across	ADP
cana-5078	9	6	multiple	multiple	ADJ
cana-5078	9	7	databases	database	NOUN
cana-5078	9	8	including	include	VERB
cana-5078	9	9	web	web	NOUN
cana-5078	9	10	of	of	ADP
cana-5078	9	11	science	science	NOUN
cana-5078	9	12	,	,	PUNCT
cana-5078	9	13	scopus	scopus	PROPN
cana-5078	9	14	,	,	PUNCT
cana-5078	9	15	ieee	ieee	NOUN
cana-5078	9	16	xplore	xplore	PROPN
cana-5078	9	17	,	,	PUNCT
cana-5078	9	18	and	and	CCONJ
cana-5078	9	19	specialized	specialized	ADJ
cana-5078	9	20	meteorological	meteorological	ADJ
cana-5078	9	21	research	research	NOUN
cana-5078	9	22	repositories	repository	NOUN
cana-5078	9	23	.	.	PUNCT
cana-5078	10	1	conclusion	conclusion	NOUN
cana-5078	10	2	:	:	PUNCT
cana-5078	10	3	artificial	artificial	ADJ
cana-5078	10	4	intelligence	intelligence	NOUN
cana-5078	10	5	techniques	technique	NOUN
cana-5078	10	6	demonstrate	demonstrate	VERB
cana-5078	10	7	transformative	transformative	ADJ
cana-5078	10	8	potential	potential	NOUN
cana-5078	10	9	in	in	ADP
cana-5078	10	10	hurricane	hurricane	NOUN
cana-5078	10	11	prediction	prediction	NOUN
cana-5078	10	12	,	,	PUNCT
cana-5078	10	13	offering	offer	VERB
cana-5078	10	14	unprecedented	unprecedented	ADJ
cana-5078	10	15	accuracy	accuracy	NOUN
cana-5078	10	16	and	and	CCONJ
cana-5078	10	17	insights	insight	NOUN
cana-5078	10	18	.	.	PUNCT
cana-5078	11	1	the	the	DET
cana-5078	11	2	integration	integration	NOUN
cana-5078	11	3	of	of	ADP
cana-5078	11	4	advanced	advanced	ADJ
cana-5078	11	5	computational	computational	ADJ
cana-5078	11	6	methods	method	NOUN
cana-5078	11	7	with	with	ADP
cana-5078	11	8	traditional	traditional	ADJ
cana-5078	11	9	meteorological	meteorological	ADJ
cana-5078	11	10	approaches	approach	NOUN
cana-5078	11	11	presents	present	VERB
cana-5078	11	12	a	a	DET
cana-5078	11	13	promising	promising	ADJ
cana-5078	11	14	frontier	frontier	NOUN
cana-5078	11	15	in	in	ADP
cana-5078	11	16	natural	natural	ADJ
cana-5078	11	17	disaster	disaster	NOUN
cana-5078	11	18	forecasting	forecasting	NOUN
cana-5078	11	19	and	and	CCONJ
cana-5078	11	20	mitigation	mitigation	NOUN
cana-5078	11	21	strategies	strategy	NOUN
cana-5078	11	22	.	.	PUNCT
cana-5078	12	1	keywords	keyword	NOUN
cana-5078	12	2	:	:	PUNCT
cana-5078	12	3	hurricane	hurricane	NOUN
cana-5078	12	4	prediction	prediction	NOUN
cana-5078	12	5	,	,	PUNCT
cana-5078	12	6	artificial	artificial	ADJ
cana-5078	12	7	intelligence	intelligence	NOUN
cana-5078	12	8	,	,	PUNCT
cana-5078	12	9	machine	machine	NOUN
cana-5078	12	10	learning	learning	NOUN
cana-5078	12	11	,	,	PUNCT
cana-5078	12	12	meteorological	meteorological	ADJ
cana-5078	12	13	forecasting	forecasting	NOUN
cana-5078	12	14	,	,	PUNCT
cana-5078	12	15	natural	natural	ADJ
cana-5078	12	16	disaster	disaster	NOUN
cana-5078	12	17	management	management	NOUN
cana-5078	12	18	,	,	PUNCT
cana-5078	12	19	deep	deep	ADJ
cana-5078	12	20	learning	learning	NOUN
cana-5078	12	21	,	,	PUNCT
cana-5078	12	22	predictive	predictive	ADJ
cana-5078	12	23	modelling	modelling	NOUN
cana-5078	12	24	.	.	PUNCT
cana-5078	13	1	1	1	X
cana-5078	13	2	.	.	X
cana-5078	13	3	introduction	introduction	NOUN
cana-5078	13	4	the	the	DET
cana-5078	13	5	term	term	NOUN
cana-5078	13	6	"	"	PUNCT
cana-5078	13	7	hurricane	hurricane	NOUN
cana-5078	13	8	"	"	PUNCT
cana-5078	13	9	traces	trace	VERB
cana-5078	13	10	its	its	PRON
cana-5078	13	11	roots	root	NOUN
cana-5078	13	12	to	to	ADP
cana-5078	13	13	mayan	mayan	ADJ
cana-5078	13	14	culture	culture	NOUN
cana-5078	13	15	,	,	PUNCT
cana-5078	13	16	referring	refer	VERB
cana-5078	13	17	to	to	ADP
cana-5078	13	18	their	their	PRON
cana-5078	13	19	deity	deity	NOUN
cana-5078	13	20	associated	associate	VERB
cana-5078	13	21	with	with	ADP
cana-5078	13	22	lightning	lightning	NOUN
cana-5078	13	23	,	,	PUNCT
cana-5078	13	24	wind	wind	NOUN
cana-5078	13	25	,	,	PUNCT
cana-5078	13	26	storms	storm	NOUN
cana-5078	13	27	,	,	PUNCT
cana-5078	13	28	and	and	CCONJ
cana-5078	13	29	fire	fire	NOUN
cana-5078	13	30	,	,	PUNCT
cana-5078	13	31	depicted	depict	VERB
cana-5078	13	32	with	with	ADP
cana-5078	13	33	one	one	NUM
cana-5078	13	34	leg	leg	NOUN
cana-5078	13	35	.	.	PUNCT
cana-5078	14	1	while	while	SCONJ
cana-5078	14	2	modern	modern	ADJ
cana-5078	14	3	society	society	NOUN
cana-5078	14	4	views	view	VERB
cana-5078	14	5	hurricanes	hurricane	NOUN
cana-5078	14	6	primarily	primarily	ADV
cana-5078	14	7	as	as	ADP
cana-5078	14	8	destructive	destructive	ADJ
cana-5078	14	9	forces	force	NOUN
cana-5078	14	10	causing	cause	VERB
cana-5078	14	11	death	death	NOUN
cana-5078	14	12	and	and	CCONJ
cana-5078	14	13	economic	economic	ADJ
cana-5078	14	14	devastation	devastation	NOUN
cana-5078	14	15	,	,	PUNCT
cana-5078	14	16	pre	pre	ADJ
cana-5078	14	17	-	-	ADJ
cana-5078	14	18	hispanic	hispanic	ADJ
cana-5078	14	19	civilizations	civilization	NOUN
cana-5078	14	20	had	have	VERB
cana-5078	14	21	a	a	DET
cana-5078	14	22	markedly	markedly	ADV
cana-5078	14	23	different	different	ADJ
cana-5078	14	24	perspective	perspective	NOUN
cana-5078	14	25	.	.	PUNCT
cana-5078	15	1	they	they	PRON
cana-5078	15	2	recognized	recognize	VERB
cana-5078	15	3	hurricanes	hurricane	NOUN
cana-5078	15	4	as	as	ADP
cana-5078	15	5	vital	vital	ADJ
cana-5078	15	6	phenomena	phenomenon	NOUN
cana-5078	15	7	that	that	PRON
cana-5078	15	8	delivered	deliver	VERB
cana-5078	15	9	essential	essential	ADJ
cana-5078	15	10	water	water	NOUN
cana-5078	15	11	resources	resource	NOUN
cana-5078	15	12	to	to	ADP
cana-5078	15	13	their	their	PRON
cana-5078	15	14	lands	land	NOUN
cana-5078	15	15	.	.	PUNCT
cana-5078	16	1	this	this	DET
cana-5078	16	2	historical	historical	ADJ
cana-5078	16	3	view	view	NOUN
cana-5078	16	4	holds	hold	VERB
cana-5078	16	5	renewed	renew	VERB
cana-5078	16	6	relevance	relevance	NOUN
cana-5078	16	7	today	today	NOUN
cana-5078	16	8	,	,	PUNCT
cana-5078	16	9	as	as	SCONJ
cana-5078	16	10	both	both	DET
cana-5078	16	11	mexico	mexico	PROPN
cana-5078	16	12	and	and	CCONJ
cana-5078	16	13	the	the	DET
cana-5078	16	14	united	united	PROPN
cana-5078	16	15	states	states	PROPN
cana-5078	16	16	face	face	VERB
cana-5078	16	17	significant	significant	ADJ
cana-5078	16	18	drought	drought	NOUN
cana-5078	16	19	conditions	condition	NOUN
cana-5078	16	20	.	.	PUNCT
cana-5078	17	1	despite	despite	SCONJ
cana-5078	17	2	their	their	PRON
cana-5078	17	3	destructive	destructive	ADJ
cana-5078	17	4	potential	potential	NOUN
cana-5078	17	5	,	,	PUNCT
cana-5078	17	6	hurricanes	hurricane	NOUN
cana-5078	17	7	might	might	AUX
cana-5078	17	8	paradoxically	paradoxically	ADV
cana-5078	17	9	offer	offer	VERB
cana-5078	17	10	a	a	DET
cana-5078	17	11	natural	natural	ADJ
cana-5078	17	12	solution	solution	NOUN
cana-5078	17	13	to	to	ADP
cana-5078	17	14	these	these	DET
cana-5078	17	15	water	water	NOUN
cana-5078	17	16	scarcity	scarcity	NOUN
cana-5078	17	17	challenges	challenge	NOUN
cana-5078	17	18	,	,	PUNCT
cana-5078	17	19	highlighting	highlight	VERB
cana-5078	17	20	the	the	DET
cana-5078	17	21	complex	complex	ADJ
cana-5078	17	22	mailto:ishaarora1225@gmail.com	mailto:ishaarora1225@gmail.com	PROPN
cana-5078	17	23	communications	communication	NOUN
cana-5078	17	24	on	on	ADP
cana-5078	17	25	applied	apply	VERB
cana-5078	17	26	nonlinear	nonlinear	ADJ
cana-5078	17	27	analysis	analysis	NOUN
cana-5078	17	28	issn	issn	NOUN
cana-5078	17	29	:	:	PUNCT
cana-5078	17	30	1074	1074	NUM
cana-5078	17	31	-	-	PUNCT
cana-5078	17	32	133x	133x	NUM
cana-5078	17	33	vol	vol	NOUN
cana-5078	17	34	32	32	NUM
cana-5078	17	35	no	no	NOUN
cana-5078	17	36	.	.	PUNCT
cana-5078	18	1	icmasd	icmasd	NOUN
cana-5078	18	2	(	(	PUNCT
cana-5078	18	3	2025	2025	NUM
cana-5078	18	4	)	)	PUNCT
cana-5078	18	5	511	511	NUM
cana-5078	18	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5078	18	7	relationship	relationship	NOUN
cana-5078	18	8	between	between	ADP
cana-5078	18	9	these	these	DET
cana-5078	18	10	powerful	powerful	ADJ
cana-5078	18	11	storms	storm	NOUN
cana-5078	18	12	and	and	CCONJ
cana-5078	18	13	human	human	ADJ
cana-5078	18	14	society	society	NOUN
cana-5078	18	15	–	–	PUNCT
cana-5078	18	16	both	both	CCONJ
cana-5078	18	17	as	as	ADP
cana-5078	18	18	a	a	DET
cana-5078	18	19	threat	threat	NOUN
cana-5078	18	20	and	and	CCONJ
cana-5078	18	21	a	a	DET
cana-5078	18	22	potential	potential	ADJ
cana-5078	18	23	resource	resource	NOUN
cana-5078	18	24	for	for	ADP
cana-5078	18	25	addressing	address	VERB
cana-5078	18	26	critical	critical	ADJ
cana-5078	18	27	water	water	NOUN
cana-5078	18	28	needs	need	NOUN
cana-5078	18	29	.	.	PUNCT
cana-5078	19	1	tropical	tropical	ADJ
cana-5078	19	2	hurricanes	hurricane	NOUN
cana-5078	19	3	,	,	PUNCT
cana-5078	19	4	which	which	PRON
cana-5078	19	5	regularly	regularly	ADV
cana-5078	19	6	devastate	devastate	VERB
cana-5078	19	7	wildlife	wildlife	NOUN
cana-5078	19	8	and	and	CCONJ
cana-5078	19	9	communities	community	NOUN
cana-5078	19	10	across	across	ADP
cana-5078	19	11	north	north	NOUN
cana-5078	19	12	and	and	CCONJ
cana-5078	19	13	central	central	PROPN
cana-5078	19	14	america	america	PROPN
cana-5078	19	15	,	,	PUNCT
cana-5078	19	16	are	be	AUX
cana-5078	19	17	now	now	ADV
cana-5078	19	18	being	be	AUX
cana-5078	19	19	studied	study	VERB
cana-5078	19	20	through	through	ADP
cana-5078	19	21	innovative	innovative	ADJ
cana-5078	19	22	machine	machine	NOUN
cana-5078	19	23	-	-	PUNCT
cana-5078	19	24	learning	learn	VERB
cana-5078	19	25	technology	technology	NOUN
cana-5078	19	26	to	to	PART
cana-5078	19	27	improve	improve	VERB
cana-5078	19	28	prediction	prediction	NOUN
cana-5078	19	29	capabilities	capability	NOUN
cana-5078	19	30	.	.	PUNCT
cana-5078	20	1	a	a	DET
cana-5078	20	2	new	new	ADJ
cana-5078	20	3	research	research	NOUN
cana-5078	20	4	framework	framework	NOUN
cana-5078	20	5	employs	employ	VERB
cana-5078	20	6	machine	machine	NOUN
cana-5078	20	7	learning	learn	VERB
cana-5078	20	8	to	to	PART
cana-5078	20	9	deepen	deepen	VERB
cana-5078	20	10	our	our	PRON
cana-5078	20	11	understanding	understanding	NOUN
cana-5078	20	12	of	of	ADP
cana-5078	20	13	how	how	SCONJ
cana-5078	20	14	hurricanes	hurricane	NOUN
cana-5078	20	15	interact	interact	VERB
cana-5078	20	16	with	with	ADP
cana-5078	20	17	complex	complex	ADJ
cana-5078	20	18	land	land	NOUN
cana-5078	20	19	,	,	PUNCT
cana-5078	20	20	air	air	NOUN
cana-5078	20	21	,	,	PUNCT
cana-5078	20	22	and	and	CCONJ
cana-5078	20	23	ocean	ocean	NOUN
cana-5078	20	24	systems	system	NOUN
cana-5078	20	25	.	.	PUNCT
cana-5078	21	1	analysis	analysis	NOUN
cana-5078	21	2	of	of	ADP
cana-5078	21	3	noaa	noaa	NOUN
cana-5078	21	4	's	's	PART
cana-5078	21	5	hurricane	hurricane	NOUN
cana-5078	21	6	classification	classification	NOUN
cana-5078	21	7	data	datum	NOUN
cana-5078	21	8	from	from	ADP
cana-5078	21	9	1950	1950	NUM
cana-5078	21	10	to	to	ADP
cana-5078	21	11	2021	2021	NUM
cana-5078	21	12	,	,	PUNCT
cana-5078	21	13	using	use	VERB
cana-5078	21	14	wavelet	wavelet	NOUN
cana-5078	21	15	analysis	analysis	NOUN
cana-5078	21	16	,	,	PUNCT
cana-5078	21	17	revealed	reveal	VERB
cana-5078	21	18	that	that	SCONJ
cana-5078	21	19	category	category	NOUN
cana-5078	21	20	2	2	NUM
cana-5078	21	21	-	-	SYM
cana-5078	21	22	4	4	NUM
cana-5078	21	23	hurricanes	hurricane	NOUN
cana-5078	21	24	typically	typically	ADV
cana-5078	21	25	form	form	VERB
cana-5078	21	26	during	during	ADP
cana-5078	21	27	the	the	DET
cana-5078	21	28	positive	positive	ADJ
cana-5078	21	29	phase	phase	NOUN
cana-5078	21	30	of	of	ADP
cana-5078	21	31	a	a	DET
cana-5078	21	32	roughly	roughly	ADV
cana-5078	21	33	five	five	NUM
cana-5078	21	34	-	-	PUNCT
cana-5078	21	35	year	year	NOUN
cana-5078	21	36	cycle	cycle	NOUN
cana-5078	21	37	.	.	PUNCT
cana-5078	22	1	the	the	DET
cana-5078	22	2	study	study	NOUN
cana-5078	22	3	also	also	ADV
cana-5078	22	4	found	find	VERB
cana-5078	22	5	that	that	SCONJ
cana-5078	22	6	the	the	DET
cana-5078	22	7	most	most	ADV
cana-5078	22	8	severe	severe	ADJ
cana-5078	22	9	hurricanes	hurricane	NOUN
cana-5078	22	10	(	(	PUNCT
cana-5078	22	11	category	category	NOUN
cana-5078	22	12	5	5	NUM
cana-5078	22	13	)	)	PUNCT
cana-5078	22	14	exclusively	exclusively	ADV
cana-5078	22	15	formed	form	VERB
cana-5078	22	16	during	during	ADP
cana-5078	22	17	the	the	DET
cana-5078	22	18	positive	positive	ADJ
cana-5078	22	19	phase	phase	NOUN
cana-5078	22	20	of	of	ADP
cana-5078	22	21	a	a	DET
cana-5078	22	22	ten	ten	NUM
cana-5078	22	23	-	-	PUNCT
cana-5078	22	24	year	year	NOUN
cana-5078	22	25	cycle	cycle	NOUN
cana-5078	22	26	.	.	PUNCT
cana-5078	23	1	these	these	DET
cana-5078	23	2	patterns	pattern	NOUN
cana-5078	23	3	helped	help	VERB
cana-5078	23	4	researchers	researcher	NOUN
cana-5078	23	5	categorize	categorize	VERB
cana-5078	23	6	historical	historical	ADJ
cana-5078	23	7	hurricane	hurricane	NOUN
cana-5078	23	8	seasons	season	NOUN
cana-5078	23	9	into	into	ADP
cana-5078	23	10	distinct	distinct	ADJ
cana-5078	23	11	periods	period	NOUN
cana-5078	23	12	of	of	ADP
cana-5078	23	13	high	high	ADJ
cana-5078	23	14	activity	activity	NOUN
cana-5078	23	15	and	and	CCONJ
cana-5078	23	16	inactivity	inactivity	NOUN
cana-5078	23	17	.	.	PUNCT
cana-5078	24	1	both	both	DET
cana-5078	24	2	natural	natural	ADJ
cana-5078	24	3	and	and	CCONJ
cana-5078	24	4	human	human	NOUN
cana-5078	24	5	-	-	PUNCT
cana-5078	24	6	caused	cause	VERB
cana-5078	24	7	factors	factor	NOUN
cana-5078	24	8	contribute	contribute	VERB
cana-5078	24	9	to	to	ADP
cana-5078	24	10	the	the	DET
cana-5078	24	11	varying	vary	VERB
cana-5078	24	12	levels	level	NOUN
cana-5078	24	13	of	of	ADP
cana-5078	24	14	tropical	tropical	ADJ
cana-5078	24	15	cyclone	cyclone	NOUN
cana-5078	24	16	activity	activity	NOUN
cana-5078	24	17	.	.	PUNCT
cana-5078	25	1	in	in	ADP
cana-5078	25	2	the	the	DET
cana-5078	25	3	usa	usa	PROPN
cana-5078	25	4	,	,	PUNCT
cana-5078	25	5	mexico	mexico	PROPN
cana-5078	25	6	,	,	PUNCT
cana-5078	25	7	and	and	CCONJ
cana-5078	25	8	caribbean	caribbean	ADJ
cana-5078	25	9	regions	region	NOUN
cana-5078	25	10	,	,	PUNCT
cana-5078	25	11	these	these	DET
cana-5078	25	12	powerful	powerful	ADJ
cana-5078	25	13	storms	storm	NOUN
cana-5078	25	14	known	know	VERB
cana-5078	25	15	as	as	ADP
cana-5078	25	16	hurricanes	hurricane	NOUN
cana-5078	25	17	combine	combine	VERB
cana-5078	25	18	multiple	multiple	ADJ
cana-5078	25	19	destructive	destructive	ADJ
cana-5078	25	20	elements	element	NOUN
cana-5078	25	21	:	:	PUNCT
cana-5078	25	22	powerful	powerful	ADJ
cana-5078	25	23	winds	wind	NOUN
cana-5078	25	24	,	,	PUNCT
cana-5078	25	25	heavy	heavy	ADJ
cana-5078	25	26	rainfall	rainfall	NOUN
cana-5078	25	27	,	,	PUNCT
cana-5078	25	28	storm	storm	NOUN
cana-5078	25	29	surges	surge	VERB
cana-5078	25	30	,	,	PUNCT
cana-5078	25	31	and	and	CCONJ
cana-5078	25	32	intense	intense	ADJ
cana-5078	25	33	wave	wave	NOUN
cana-5078	25	34	activity	activity	NOUN
cana-5078	25	35	.	.	PUNCT
cana-5078	26	1	each	each	DET
cana-5078	26	2	year	year	NOUN
cana-5078	26	3	,	,	PUNCT
cana-5078	26	4	tropical	tropical	ADJ
cana-5078	26	5	and	and	CCONJ
cana-5078	26	6	subtropical	subtropical	ADJ
cana-5078	26	7	regions	region	NOUN
cana-5078	26	8	face	face	VERB
cana-5078	26	9	severe	severe	ADJ
cana-5078	26	10	storms	storm	NOUN
cana-5078	26	11	of	of	ADP
cana-5078	26	12	various	various	ADJ
cana-5078	26	13	intensities	intensity	NOUN
cana-5078	26	14	and	and	CCONJ
cana-5078	26	15	origins	origin	NOUN
cana-5078	26	16	.	.	PUNCT
cana-5078	27	1	given	give	VERB
cana-5078	27	2	the	the	DET
cana-5078	27	3	significant	significant	ADJ
cana-5078	27	4	damage	damage	NOUN
cana-5078	27	5	these	these	DET
cana-5078	27	6	events	event	NOUN
cana-5078	27	7	cause	cause	VERB
cana-5078	27	8	to	to	ADP
cana-5078	27	9	coastal	coastal	ADJ
cana-5078	27	10	communities	community	NOUN
cana-5078	27	11	and	and	CCONJ
cana-5078	27	12	society	society	NOUN
cana-5078	27	13	at	at	ADP
cana-5078	27	14	large	large	ADJ
cana-5078	27	15	,	,	PUNCT
cana-5078	27	16	understanding	understand	VERB
cana-5078	27	17	how	how	SCONJ
cana-5078	27	18	hurricanes	hurricane	NOUN
cana-5078	27	19	form	form	VERB
cana-5078	27	20	and	and	CCONJ
cana-5078	27	21	intensify	intensify	VERB
cana-5078	27	22	is	be	AUX
cana-5078	27	23	crucial	crucial	ADJ
cana-5078	27	24	for	for	ADP
cana-5078	27	25	developing	develop	VERB
cana-5078	27	26	effective	effective	ADJ
cana-5078	27	27	early	early	ADJ
cana-5078	27	28	warning	warning	NOUN
cana-5078	27	29	systems	system	NOUN
cana-5078	27	30	and	and	CCONJ
cana-5078	27	31	preventive	preventive	ADJ
cana-5078	27	32	measures	measure	NOUN
cana-5078	27	33	.	.	PUNCT
cana-5078	28	1	hurricanes	hurricane	NOUN
cana-5078	28	2	are	be	AUX
cana-5078	28	3	among	among	ADP
cana-5078	28	4	the	the	DET
cana-5078	28	5	most	most	ADV
cana-5078	28	6	destructive	destructive	ADJ
cana-5078	28	7	natural	natural	ADJ
cana-5078	28	8	disasters	disaster	NOUN
cana-5078	28	9	,	,	PUNCT
cana-5078	28	10	causing	cause	VERB
cana-5078	28	11	significant	significant	ADJ
cana-5078	28	12	loss	loss	NOUN
cana-5078	28	13	of	of	ADP
cana-5078	28	14	life	life	NOUN
cana-5078	28	15	and	and	CCONJ
cana-5078	28	16	property	property	NOUN
cana-5078	28	17	damage	damage	NOUN
cana-5078	28	18	.	.	PUNCT
cana-5078	29	1	accurate	accurate	ADJ
cana-5078	29	2	prediction	prediction	NOUN
cana-5078	29	3	of	of	ADP
cana-5078	29	4	hurricane	hurricane	NOUN
cana-5078	29	5	behaviour	behaviour	NOUN
cana-5078	29	6	is	be	AUX
cana-5078	29	7	crucial	crucial	ADJ
cana-5078	29	8	for	for	ADP
cana-5078	29	9	effective	effective	ADJ
cana-5078	29	10	disaster	disaster	NOUN
cana-5078	29	11	management	management	NOUN
cana-5078	29	12	and	and	CCONJ
cana-5078	29	13	mitigation	mitigation	NOUN
cana-5078	29	14	strategies	strategy	NOUN
cana-5078	29	15	.	.	PUNCT
cana-5078	30	1	in	in	ADP
cana-5078	30	2	recent	recent	ADJ
cana-5078	30	3	years	year	NOUN
cana-5078	30	4	,	,	PUNCT
cana-5078	30	5	machine	machine	NOUN
cana-5078	30	6	learning	learning	NOUN
cana-5078	30	7	techniques	technique	NOUN
cana-5078	30	8	have	have	AUX
cana-5078	30	9	shown	show	VERB
cana-5078	30	10	promising	promising	ADJ
cana-5078	30	11	results	result	NOUN
cana-5078	30	12	in	in	ADP
cana-5078	30	13	improving	improve	VERB
cana-5078	30	14	hurricane	hurricane	NOUN
cana-5078	30	15	forecasting	forecasting	NOUN
cana-5078	30	16	accuracy	accuracy	NOUN
cana-5078	30	17	.	.	PUNCT
cana-5078	31	1	this	this	DET
cana-5078	31	2	systematic	systematic	ADJ
cana-5078	31	3	review	review	NOUN
cana-5078	31	4	aims	aim	VERB
cana-5078	31	5	to	to	PART
cana-5078	31	6	synthesize	synthesize	VERB
cana-5078	31	7	current	current	ADJ
cana-5078	31	8	research	research	NOUN
cana-5078	31	9	on	on	ADP
cana-5078	31	10	machine	machine	NOUN
cana-5078	31	11	learning	learn	VERB
cana-5078	31	12	applications	application	NOUN
cana-5078	31	13	in	in	ADP
cana-5078	31	14	hurricane	hurricane	PROPN
cana-5078	31	15	prediction	prediction	NOUN
cana-5078	31	16	,	,	PUNCT
cana-5078	31	17	evaluate	evaluate	VERB
cana-5078	31	18	their	their	PRON
cana-5078	31	19	effectiveness	effectiveness	NOUN
cana-5078	31	20	,	,	PUNCT
cana-5078	31	21	and	and	CCONJ
cana-5078	31	22	identify	identify	VERB
cana-5078	31	23	areas	area	NOUN
cana-5078	31	24	for	for	ADP
cana-5078	31	25	future	future	ADJ
cana-5078	31	26	research	research	NOUN
cana-5078	31	27	.	.	PUNCT
cana-5078	32	1	2	2	X
cana-5078	32	2	.	.	X
cana-5078	32	3	theoretical	theoretical	ADJ
cana-5078	32	4	framework	framework	NOUN
cana-5078	32	5	/	/	SYM
cana-5078	32	6	theory	theory	NOUN
cana-5078	32	7	/	/	SYM
cana-5078	32	8	literature	literature	PROPN
cana-5078	32	9	review	review	VERB
cana-5078	32	10	a	a	DET
cana-5078	32	11	comprehensive	comprehensive	ADJ
cana-5078	32	12	literature	literature	NOUN
cana-5078	32	13	search	search	NOUN
cana-5078	32	14	was	be	AUX
cana-5078	32	15	conducted	conduct	VERB
cana-5078	32	16	using	use	VERB
cana-5078	32	17	databases	database	NOUN
cana-5078	32	18	such	such	ADJ
cana-5078	32	19	as	as	ADP
cana-5078	32	20	web	web	NOUN
cana-5078	32	21	of	of	ADP
cana-5078	32	22	science	science	NOUN
cana-5078	32	23	,	,	PUNCT
cana-5078	32	24	scopus	scopus	PROPN
cana-5078	32	25	,	,	PUNCT
cana-5078	32	26	and	and	CCONJ
cana-5078	32	27	ieee	ieee	PROPN
cana-5078	32	28	xplore	xplore	PROPN
cana-5078	32	29	.	.	PUNCT
cana-5078	33	1	keywords	keyword	NOUN
cana-5078	33	2	included	include	VERB
cana-5078	33	3	"	"	PUNCT
cana-5078	33	4	hurricane	hurricane	NOUN
cana-5078	33	5	prediction	prediction	NOUN
cana-5078	33	6	,	,	PUNCT
cana-5078	33	7	"	"	PUNCT
cana-5078	33	8	"	"	PUNCT
cana-5078	33	9	machine	machine	NOUN
cana-5078	33	10	learning	learning	NOUN
cana-5078	33	11	,	,	PUNCT
cana-5078	33	12	"	"	PUNCT
cana-5078	33	13	"	"	PUNCT
cana-5078	33	14	artificial	artificial	ADJ
cana-5078	33	15	intelligence	intelligence	NOUN
cana-5078	33	16	,	,	PUNCT
cana-5078	33	17	"	"	PUNCT
cana-5078	33	18	and	and	CCONJ
cana-5078	33	19	related	related	ADJ
cana-5078	33	20	terms	term	NOUN
cana-5078	33	21	.	.	PUNCT
cana-5078	34	1	the	the	DET
cana-5078	34	2	search	search	NOUN
cana-5078	34	3	was	be	AUX
cana-5078	34	4	limited	limit	VERB
cana-5078	34	5	to	to	ADP
cana-5078	34	6	peer	peer	NOUN
cana-5078	34	7	-	-	PUNCT
cana-5078	34	8	reviewed	review	VERB
cana-5078	34	9	articles	article	NOUN
cana-5078	34	10	published	publish	VERB
cana-5078	34	11	between	between	ADP
cana-5078	34	12	2010	2010	NUM
cana-5078	34	13	and	and	CCONJ
cana-5078	34	14	2021	2021	NUM
cana-5078	34	15	.	.	PUNCT
cana-5078	35	1	a	a	DET
cana-5078	35	2	comprehensive	comprehensive	ADJ
cana-5078	35	3	literature	literature	NOUN
cana-5078	35	4	search	search	NOUN
cana-5078	35	5	was	be	AUX
cana-5078	35	6	conducted	conduct	VERB
cana-5078	35	7	using	use	VERB
cana-5078	35	8	multiple	multiple	ADJ
cana-5078	35	9	academic	academic	ADJ
cana-5078	35	10	databases	database	NOUN
cana-5078	35	11	to	to	PART
cana-5078	35	12	ensure	ensure	VERB
cana-5078	35	13	broad	broad	ADJ
cana-5078	35	14	coverage	coverage	NOUN
cana-5078	35	15	of	of	ADP
cana-5078	35	16	relevant	relevant	ADJ
cana-5078	35	17	studies	study	NOUN
cana-5078	35	18	.	.	PUNCT
cana-5078	36	1	the	the	DET
cana-5078	36	2	primary	primary	ADJ
cana-5078	36	3	databases	database	NOUN
cana-5078	36	4	utilized	utilize	VERB
cana-5078	36	5	were	be	AUX
cana-5078	36	6	:	:	PUNCT
cana-5078	36	7	1	1	X
cana-5078	36	8	.	.	X
cana-5078	36	9	web	web	NOUN
cana-5078	36	10	of	of	ADP
cana-5078	36	11	science	science	NOUN
cana-5078	36	12	:	:	PUNCT
cana-5078	36	13	known	know	VERB
cana-5078	36	14	for	for	ADP
cana-5078	36	15	its	its	PRON
cana-5078	36	16	extensive	extensive	ADJ
cana-5078	36	17	coverage	coverage	NOUN
cana-5078	36	18	of	of	ADP
cana-5078	36	19	high	high	ADJ
cana-5078	36	20	-	-	PUNCT
cana-5078	36	21	impact	impact	NOUN
cana-5078	36	22	,	,	PUNCT
cana-5078	36	23	peer	peer	NOUN
cana-5078	36	24	-	-	PUNCT
cana-5078	36	25	reviewed	review	VERB
cana-5078	36	26	journals	journal	NOUN
cana-5078	36	27	across	across	ADP
cana-5078	36	28	various	various	ADJ
cana-5078	36	29	scientific	scientific	ADJ
cana-5078	36	30	disciplines	discipline	NOUN
cana-5078	36	31	.	.	PUNCT
cana-5078	37	1	2	2	X
cana-5078	37	2	.	.	X
cana-5078	37	3	scopus	scopus	PROPN
cana-5078	37	4	:	:	PUNCT
cana-5078	37	5	offering	offer	VERB
cana-5078	37	6	a	a	DET
cana-5078	37	7	wide	wide	ADJ
cana-5078	37	8	range	range	NOUN
cana-5078	37	9	of	of	ADP
cana-5078	37	10	peer	peer	NOUN
cana-5078	37	11	-	-	PUNCT
cana-5078	37	12	reviewed	review	VERB
cana-5078	37	13	literature	literature	NOUN
cana-5078	37	14	,	,	PUNCT
cana-5078	37	15	including	include	VERB
cana-5078	37	16	scientific	scientific	ADJ
cana-5078	37	17	journals	journal	NOUN
cana-5078	37	18	,	,	PUNCT
cana-5078	37	19	books	book	NOUN
cana-5078	37	20	,	,	PUNCT
cana-5078	37	21	and	and	CCONJ
cana-5078	37	22	conference	conference	NOUN
cana-5078	37	23	proceedings	proceeding	NOUN
cana-5078	37	24	.	.	PUNCT
cana-5078	38	1	3	3	X
cana-5078	38	2	.	.	X
cana-5078	38	3	ieee	ieee	PROPN
cana-5078	38	4	xplore	xplore	PROPN
cana-5078	38	5	:	:	PUNCT
cana-5078	38	6	specifically	specifically	ADV
cana-5078	38	7	chosen	choose	VERB
cana-5078	38	8	for	for	ADP
cana-5078	38	9	its	its	PRON
cana-5078	38	10	focus	focus	NOUN
cana-5078	38	11	on	on	ADP
cana-5078	38	12	electrical	electrical	ADJ
cana-5078	38	13	engineering	engineering	NOUN
cana-5078	38	14	,	,	PUNCT
cana-5078	38	15	computer	computer	NOUN
cana-5078	38	16	science	science	NOUN
cana-5078	38	17	,	,	PUNCT
cana-5078	38	18	and	and	CCONJ
cana-5078	38	19	related	related	ADJ
cana-5078	38	20	fields	field	NOUN
cana-5078	38	21	,	,	PUNCT
cana-5078	38	22	which	which	PRON
cana-5078	38	23	are	be	AUX
cana-5078	38	24	relevant	relevant	ADJ
cana-5078	38	25	to	to	ADP
cana-5078	38	26	machine	machine	NOUN
cana-5078	38	27	learning	learning	NOUN
cana-5078	38	28	applications	application	NOUN
cana-5078	38	29	.	.	PUNCT
cana-5078	39	1	the	the	DET
cana-5078	39	2	search	search	NOUN
cana-5078	39	3	terms	term	NOUN
cana-5078	39	4	were	be	AUX
cana-5078	39	5	carefully	carefully	ADV
cana-5078	39	6	selected	select	VERB
cana-5078	39	7	to	to	PART
cana-5078	39	8	capture	capture	VERB
cana-5078	39	9	studies	study	NOUN
cana-5078	39	10	related	relate	VERB
cana-5078	39	11	to	to	ADP
cana-5078	39	12	hurricane	hurricane	NOUN
cana-5078	39	13	prediction	prediction	NOUN
cana-5078	39	14	using	use	VERB
cana-5078	39	15	machine	machine	NOUN
cana-5078	39	16	learning	learning	NOUN
cana-5078	39	17	techniques	technique	NOUN
cana-5078	39	18	.	.	PUNCT
cana-5078	40	1	the	the	DET
cana-5078	40	2	primary	primary	ADJ
cana-5078	40	3	keywords	keyword	NOUN
cana-5078	40	4	used	use	VERB
cana-5078	40	5	in	in	ADP
cana-5078	40	6	the	the	DET
cana-5078	40	7	search	search	NOUN
cana-5078	40	8	included	include	VERB
cana-5078	40	9	:	:	PUNCT
cana-5078	40	10	"	"	PUNCT
cana-5078	40	11	hurricane	hurricane	NOUN
cana-5078	40	12	prediction	prediction	NOUN
cana-5078	40	13	”	"	PUNCT
cana-5078	40	14	,	,	PUNCT
cana-5078	40	15	“	"	PUNCT
cana-5078	40	16	machine	machine	NOUN
cana-5078	40	17	learning	learning	NOUN
cana-5078	40	18	”	"	PUNCT
cana-5078	40	19	,	,	PUNCT
cana-5078	40	20	“	"	PUNCT
cana-5078	40	21	artificial	artificial	ADJ
cana-5078	40	22	intelligence	intelligence	NOUN
cana-5078	40	23	”	"	PUNCT
cana-5078	40	24	,	,	PUNCT
cana-5078	40	25	“	"	PUNCT
cana-5078	40	26	deep	deep	ADJ
cana-5078	40	27	learning	learning	NOUN
cana-5078	40	28	”	"	PUNCT
cana-5078	40	29	,	,	PUNCT
cana-5078	40	30	“	"	PUNCT
cana-5078	40	31	neural	neural	ADJ
cana-5078	40	32	networks	network	NOUN
cana-5078	40	33	”	"	PUNCT
cana-5078	40	34	,	,	PUNCT
cana-5078	40	35	“	"	PUNCT
cana-5078	40	36	tropical	tropical	ADJ
cana-5078	40	37	cyclone	cyclone	NOUN
cana-5078	40	38	forecasting	forecasting	NOUN
cana-5078	40	39	”	"	PUNCT
cana-5078	40	40	,	,	PUNCT
cana-5078	40	41	“	"	PUNCT
cana-5078	40	42	storm	storm	NOUN
cana-5078	40	43	track	track	NOUN
cana-5078	40	44	prediction	prediction	NOUN
cana-5078	40	45	"	"	PUNCT
cana-5078	40	46	,	,	PUNCT
cana-5078	40	47	"	"	PUNCT
cana-5078	40	48	hurricane	hurricane	NOUN
cana-5078	40	49	intensity	intensity	NOUN
cana-5078	40	50	estimation	estimation	NOUN
cana-5078	40	51	"	"	PUNCT
cana-5078	40	52	boolean	boolean	ADJ
cana-5078	40	53	operators	operator	NOUN
cana-5078	40	54	(	(	PUNCT
cana-5078	40	55	and	and	CCONJ
cana-5078	40	56	,	,	PUNCT
cana-5078	40	57	or	or	CCONJ
cana-5078	40	58	)	)	PUNCT
cana-5078	40	59	were	be	AUX
cana-5078	40	60	used	use	VERB
cana-5078	40	61	to	to	PART
cana-5078	40	62	combine	combine	VERB
cana-5078	40	63	these	these	DET
cana-5078	40	64	terms	term	NOUN
cana-5078	40	65	effectively	effectively	ADV
cana-5078	40	66	.	.	PUNCT
cana-5078	41	1	for	for	ADP
cana-5078	41	2	example:("hurricane	example:("hurricane	NOUN
cana-5078	41	3	prediction	prediction	NOUN
cana-5078	41	4	"	"	PUNCT
cana-5078	41	5	or	or	CCONJ
cana-5078	41	6	"	"	PUNCT
cana-5078	41	7	tropical	tropical	ADJ
cana-5078	41	8	cyclone	cyclone	NOUN
cana-5078	41	9	forecasting	forecasting	NOUN
cana-5078	41	10	"	"	PUNCT
cana-5078	41	11	)	)	PUNCT
cana-5078	41	12	and	and	CCONJ
cana-5078	41	13	(	(	PUNCT
cana-5078	41	14	"	"	PUNCT
cana-5078	41	15	machine	machine	NOUN
cana-5078	41	16	learning	learning	NOUN
cana-5078	41	17	"	"	PUNCT
cana-5078	41	18	or	or	CCONJ
cana-5078	41	19	"	"	PUNCT
cana-5078	41	20	artificial	artificial	ADJ
cana-5078	41	21	intelligence	intelligence	NOUN
cana-5078	41	22	"	"	PUNCT
cana-5078	41	23	or	or	CCONJ
cana-5078	41	24	"	"	PUNCT
cana-5078	41	25	deep	deep	ADJ
cana-5078	41	26	learning	learning	NOUN
cana-5078	41	27	"	"	PUNCT
cana-5078	41	28	)	)	PUNCT
cana-5078	41	29	communications	communication	NOUN
cana-5078	41	30	on	on	ADP
cana-5078	41	31	applied	apply	VERB
cana-5078	41	32	nonlinear	nonlinear	ADJ
cana-5078	41	33	analysis	analysis	NOUN
cana-5078	41	34	issn	issn	NOUN
cana-5078	41	35	:	:	PUNCT
cana-5078	41	36	1074	1074	NUM
cana-5078	41	37	-	-	PUNCT
cana-5078	41	38	133x	133x	NUM
cana-5078	41	39	vol	vol	NOUN
cana-5078	41	40	32	32	NUM
cana-5078	41	41	no	no	NOUN
cana-5078	41	42	.	.	PUNCT
cana-5078	42	1	icmasd	icmasd	NOUN
cana-5078	42	2	(	(	PUNCT
cana-5078	42	3	2025	2025	NUM
cana-5078	42	4	)	)	PUNCT
cana-5078	42	5	512	512	NUM
cana-5078	42	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5078	42	7	additional	additional	ADJ
cana-5078	42	8	search	search	NOUN
cana-5078	42	9	strategies	strategy	NOUN
cana-5078	42	10	included	include	VERB
cana-5078	42	11	:	:	PUNCT
cana-5078	42	12	1	1	X
cana-5078	42	13	.	.	X
cana-5078	42	14	reviewing	review	VERB
cana-5078	42	15	reference	reference	NOUN
cana-5078	42	16	lists	list	NOUN
cana-5078	42	17	of	of	ADP
cana-5078	42	18	identified	identify	VERB
cana-5078	42	19	articles	article	NOUN
cana-5078	42	20	for	for	ADP
cana-5078	42	21	relevant	relevant	ADJ
cana-5078	42	22	studies	study	NOUN
cana-5078	42	23	not	not	PART
cana-5078	42	24	captured	capture	VERB
cana-5078	42	25	in	in	ADP
cana-5078	42	26	the	the	DET
cana-5078	42	27	initial	initial	ADJ
cana-5078	42	28	database	database	NOUN
cana-5078	42	29	search	search	NOUN
cana-5078	42	30	.	.	PUNCT
cana-5078	43	1	2	2	X
cana-5078	43	2	.	.	X
cana-5078	43	3	conducting	conduct	VERB
cana-5078	43	4	forward	forward	ADJ
cana-5078	43	5	citation	citation	NOUN
cana-5078	43	6	searches	search	NOUN
cana-5078	43	7	on	on	ADP
cana-5078	43	8	key	key	ADJ
cana-5078	43	9	papers	paper	NOUN
cana-5078	43	10	to	to	PART
cana-5078	43	11	identify	identify	VERB
cana-5078	43	12	more	more	ADJ
cana-5078	43	13	recent	recent	ADJ
cana-5078	43	14	studies	study	NOUN
cana-5078	43	15	building	build	VERB
cana-5078	43	16	upon	upon	SCONJ
cana-5078	43	17	significant	significant	ADJ
cana-5078	43	18	works	work	NOUN
cana-5078	43	19	.	.	PUNCT
cana-5078	44	1	3	3	X
cana-5078	44	2	.	.	X
cana-5078	44	3	consulting	consult	VERB
cana-5078	44	4	with	with	ADP
cana-5078	44	5	domain	domain	NOUN
cana-5078	44	6	experts	expert	NOUN
cana-5078	44	7	to	to	PART
cana-5078	44	8	identify	identify	VERB
cana-5078	44	9	any	any	DET
cana-5078	44	10	potentially	potentially	ADV
cana-5078	44	11	missed	miss	VERB
cana-5078	44	12	important	important	ADJ
cana-5078	44	13	studies	study	NOUN
cana-5078	44	14	or	or	CCONJ
cana-5078	44	15	ongoing	ongoing	ADJ
cana-5078	44	16	research	research	NOUN
cana-5078	44	17	projects	project	NOUN
cana-5078	44	18	.	.	PUNCT
cana-5078	45	1	4	4	X
cana-5078	45	2	.	.	X
cana-5078	45	3	exploring	explore	VERB
cana-5078	45	4	conference	conference	NOUN
cana-5078	45	5	proceedings	proceeding	NOUN
cana-5078	45	6	and	and	CCONJ
cana-5078	45	7	preprint	preprint	NOUN
cana-5078	45	8	servers	server	NOUN
cana-5078	45	9	(	(	PUNCT
cana-5078	45	10	e.g.	e.g.	ADV
cana-5078	45	11	,	,	PUNCT
cana-5078	45	12	arxiv	arxiv	PROPN
cana-5078	45	13	)	)	PUNCT
cana-5078	45	14	for	for	ADP
cana-5078	45	15	cutting	cut	VERB
cana-5078	45	16	-	-	PUNCT
cana-5078	45	17	edge	edge	NOUN
cana-5078	45	18	research	research	NOUN
cana-5078	45	19	that	that	PRON
cana-5078	45	20	may	may	AUX
cana-5078	45	21	not	not	PART
cana-5078	45	22	yet	yet	ADV
cana-5078	45	23	be	be	AUX
cana-5078	45	24	published	publish	VERB
cana-5078	45	25	in	in	ADP
cana-5078	45	26	peer	peer	NOUN
cana-5078	45	27	-	-	PUNCT
cana-5078	45	28	reviewed	review	VERB
cana-5078	45	29	journals	journal	NOUN
cana-5078	45	30	.	.	PUNCT
cana-5078	46	1	the	the	DET
cana-5078	46	2	search	search	NOUN
cana-5078	46	3	results	result	NOUN
cana-5078	46	4	were	be	AUX
cana-5078	46	5	then	then	ADV
cana-5078	46	6	screened	screen	VERB
cana-5078	46	7	based	base	VERB
cana-5078	46	8	on	on	ADP
cana-5078	46	9	predefined	predefine	VERB
cana-5078	46	10	inclusion	inclusion	NOUN
cana-5078	46	11	and	and	CCONJ
cana-5078	46	12	exclusion	exclusion	NOUN
cana-5078	46	13	criteria	criterion	NOUN
cana-5078	46	14	to	to	PART
cana-5078	46	15	ensure	ensure	VERB
cana-5078	46	16	only	only	ADV
cana-5078	46	17	relevant	relevant	ADJ
cana-5078	46	18	studies	study	NOUN
cana-5078	46	19	were	be	AUX
cana-5078	46	20	included	include	VERB
cana-5078	46	21	in	in	ADP
cana-5078	46	22	the	the	DET
cana-5078	46	23	final	final	ADJ
cana-5078	46	24	review	review	NOUN
cana-5078	46	25	.	.	PUNCT
cana-5078	47	1	this	this	DET
cana-5078	47	2	process	process	NOUN
cana-5078	47	3	involved	involve	VERB
cana-5078	47	4	reviewing	review	VERB
cana-5078	47	5	titles	title	NOUN
cana-5078	47	6	and	and	CCONJ
cana-5078	47	7	abstracts	abstract	NOUN
cana-5078	47	8	,	,	PUNCT
cana-5078	47	9	followed	follow	VERB
cana-5078	47	10	by	by	ADP
cana-5078	47	11	full	full	ADJ
cana-5078	47	12	-	-	PUNCT
cana-5078	47	13	text	text	NOUN
cana-5078	47	14	assessment	assessment	NOUN
cana-5078	47	15	of	of	ADP
cana-5078	47	16	potentially	potentially	ADV
cana-5078	47	17	eligible	eligible	ADJ
cana-5078	47	18	studies	study	NOUN
cana-5078	47	19	.	.	PUNCT
cana-5078	48	1	3	3	X
cana-5078	48	2	.	.	X
cana-5078	48	3	research	research	NOUN
cana-5078	48	4	methodology	methodology	NOUN
cana-5078	48	5	/	/	SYM
cana-5078	48	6	experimental	experimental	ADJ
cana-5078	48	7	3.1	3.1	NUM
cana-5078	48	8	.	.	PUNCT
cana-5078	49	1	inclusion	inclusion	NOUN
cana-5078	49	2	criteria	criterion	NOUN
cana-5078	49	3	the	the	DET
cana-5078	49	4	search	search	NOUN
cana-5078	49	5	strategy	strategy	NOUN
cana-5078	49	6	for	for	ADP
cana-5078	49	7	the	the	DET
cana-5078	49	8	systematic	systematic	ADJ
cana-5078	49	9	review	review	NOUN
cana-5078	49	10	of	of	ADP
cana-5078	49	11	hurricane	hurricane	NOUN
cana-5078	49	12	prediction	prediction	NOUN
cana-5078	49	13	using	use	VERB
cana-5078	49	14	machine	machine	NOUN
cana-5078	49	15	learning	learning	NOUN
cana-5078	49	16	techniques	technique	NOUN
cana-5078	49	17	is	be	AUX
cana-5078	49	18	comprehensive	comprehensive	ADJ
cana-5078	49	19	and	and	CCONJ
cana-5078	49	20	well	well	ADV
cana-5078	49	21	-	-	PUNCT
cana-5078	49	22	structured	structure	VERB
cana-5078	49	23	.	.	PUNCT
cana-5078	50	1	it	it	PRON
cana-5078	50	2	covers	cover	VERB
cana-5078	50	3	multiple	multiple	ADJ
cana-5078	50	4	academic	academic	ADJ
cana-5078	50	5	databases	database	NOUN
cana-5078	50	6	,	,	PUNCT
cana-5078	50	7	including	include	VERB
cana-5078	50	8	web	web	NOUN
cana-5078	50	9	of	of	ADP
cana-5078	50	10	science	science	NOUN
cana-5078	50	11	,	,	PUNCT
cana-5078	50	12	scopus	scopus	PROPN
cana-5078	50	13	,	,	PUNCT
cana-5078	50	14	and	and	CCONJ
cana-5078	50	15	ieee	ieee	PROPN
cana-5078	50	16	xplore	xplore	PROPN
cana-5078	50	17	,	,	PUNCT
cana-5078	50	18	which	which	PRON
cana-5078	50	19	are	be	AUX
cana-5078	50	20	appropriate	appropriate	ADJ
cana-5078	50	21	for	for	ADP
cana-5078	50	22	the	the	DET
cana-5078	50	23	topic	topic	NOUN
cana-5078	50	24	.	.	PUNCT
cana-5078	51	1	the	the	DET
cana-5078	51	2	selection	selection	NOUN
cana-5078	51	3	of	of	ADP
cana-5078	51	4	keywords	keyword	NOUN
cana-5078	51	5	and	and	CCONJ
cana-5078	51	6	their	their	PRON
cana-5078	51	7	combination	combination	NOUN
cana-5078	51	8	using	use	VERB
cana-5078	51	9	boolean	boolean	ADJ
cana-5078	51	10	operators	operator	NOUN
cana-5078	51	11	is	be	AUX
cana-5078	51	12	thorough	thorough	ADJ
cana-5078	51	13	and	and	CCONJ
cana-5078	51	14	likely	likely	ADJ
cana-5078	51	15	to	to	PART
cana-5078	51	16	capture	capture	VERB
cana-5078	51	17	relevant	relevant	ADJ
cana-5078	51	18	studies	study	NOUN
cana-5078	51	19	.	.	PUNCT
cana-5078	52	1	to	to	PART
cana-5078	52	2	enhance	enhance	VERB
cana-5078	52	3	the	the	DET
cana-5078	52	4	search	search	NOUN
cana-5078	52	5	strategy	strategy	NOUN
cana-5078	52	6	,	,	PUNCT
cana-5078	52	7	consider	consider	VERB
cana-5078	52	8	:	:	PUNCT
cana-5078	52	9	1	1	X
cana-5078	52	10	.	.	X
cana-5078	52	11	expanding	expand	VERB
cana-5078	52	12	the	the	DET
cana-5078	52	13	database	database	NOUN
cana-5078	52	14	list	list	NOUN
cana-5078	52	15	to	to	PART
cana-5078	52	16	include	include	VERB
cana-5078	52	17	subject	subject	ADJ
cana-5078	52	18	-	-	PUNCT
cana-5078	52	19	specific	specific	ADJ
cana-5078	52	20	databases	database	NOUN
cana-5078	52	21	like	like	ADP
cana-5078	52	22	ams	am	NOUN
cana-5078	52	23	(	(	PUNCT
cana-5078	52	24	american	american	ADJ
cana-5078	52	25	meteorological	meteorological	ADJ
cana-5078	52	26	society	society	NOUN
cana-5078	52	27	)	)	PUNCT
cana-5078	52	28	journals	journal	NOUN
cana-5078	52	29	or	or	CCONJ
cana-5078	52	30	noaa	noaa	NOUN
cana-5078	52	31	's	's	PART
cana-5078	52	32	library	library	NOUN
cana-5078	52	33	catalog	catalog	NOUN
cana-5078	52	34	.	.	PUNCT
cana-5078	53	1	2	2	X
cana-5078	53	2	.	.	NUM
cana-5078	53	3	including	include	VERB
cana-5078	53	4	additional	additional	ADJ
cana-5078	53	5	keywords	keyword	NOUN
cana-5078	53	6	such	such	ADJ
cana-5078	53	7	as	as	ADP
cana-5078	53	8	"	"	PUNCT
cana-5078	53	9	data	datum	NOUN
cana-5078	53	10	mining	mining	NOUN
cana-5078	53	11	,	,	PUNCT
cana-5078	53	12	"	"	PUNCT
cana-5078	53	13	"	"	PUNCT
cana-5078	53	14	predictive	predictive	ADJ
cana-5078	53	15	modeling	modeling	NOUN
cana-5078	53	16	,	,	PUNCT
cana-5078	53	17	"	"	PUNCT
cana-5078	53	18	or	or	CCONJ
cana-5078	53	19	specific	specific	ADJ
cana-5078	53	20	algorithm	algorithm	NOUN
cana-5078	53	21	names	name	NOUN
cana-5078	53	22	(	(	PUNCT
cana-5078	53	23	e.g.	e.g.	ADV
cana-5078	53	24	,	,	PUNCT
cana-5078	53	25	"	"	PUNCT
cana-5078	53	26	support	support	NOUN
cana-5078	53	27	vector	vector	NOUN
cana-5078	53	28	machines	machine	NOUN
cana-5078	53	29	,	,	PUNCT
cana-5078	53	30	"	"	PUNCT
cana-5078	53	31	"	"	PUNCT
cana-5078	53	32	random	random	ADJ
cana-5078	53	33	forests	forest	NOUN
cana-5078	53	34	"	"	PUNCT
cana-5078	53	35	)	)	PUNCT
cana-5078	53	36	.	.	PUNCT
cana-5078	54	1	3	3	X
cana-5078	54	2	.	.	X
cana-5078	54	3	considering	consider	VERB
cana-5078	54	4	grey	grey	PROPN
cana-5078	54	5	literature	literature	PROPN
cana-5078	54	6	sources	source	NOUN
cana-5078	54	7	like	like	ADP
cana-5078	54	8	government	government	NOUN
cana-5078	54	9	reports	report	NOUN
cana-5078	54	10	or	or	CCONJ
cana-5078	54	11	technical	technical	ADJ
cana-5078	54	12	documents	document	NOUN
cana-5078	54	13	from	from	ADP
cana-5078	54	14	meteorological	meteorological	ADJ
cana-5078	54	15	organizations	organization	NOUN
cana-5078	54	16	.	.	PUNCT
cana-5078	55	1	4	4	X
cana-5078	55	2	.	.	X
cana-5078	55	3	implementing	implement	VERB
cana-5078	55	4	a	a	DET
cana-5078	55	5	snowballing	snowballing	NOUN
cana-5078	55	6	technique	technique	NOUN
cana-5078	55	7	by	by	ADP
cana-5078	55	8	examining	examine	VERB
cana-5078	55	9	the	the	DET
cana-5078	55	10	reference	reference	NOUN
cana-5078	55	11	lists	list	NOUN
cana-5078	55	12	of	of	ADP
cana-5078	55	13	included	include	VERB
cana-5078	55	14	studies	study	NOUN
cana-5078	55	15	and	and	CCONJ
cana-5078	55	16	conducting	conduct	VERB
cana-5078	55	17	forward	forward	ADJ
cana-5078	55	18	citation	citation	NOUN
cana-5078	55	19	searches	search	NOUN
cana-5078	55	20	.	.	PUNCT
cana-5078	56	1	5	5	X
cana-5078	56	2	.	.	X
cana-5078	56	3	using	use	VERB
cana-5078	56	4	controlled	control	VERB
cana-5078	56	5	vocabulary	vocabulary	NOUN
cana-5078	56	6	or	or	CCONJ
cana-5078	56	7	subject	subject	NOUN
cana-5078	56	8	headings	heading	NOUN
cana-5078	56	9	specific	specific	ADJ
cana-5078	56	10	to	to	ADP
cana-5078	56	11	each	each	DET
cana-5078	56	12	database	database	NOUN
cana-5078	56	13	to	to	PART
cana-5078	56	14	ensure	ensure	VERB
cana-5078	56	15	comprehensive	comprehensive	ADJ
cana-5078	56	16	coverage	coverage	NOUN
cana-5078	56	17	.	.	PUNCT
cana-5078	57	1	6	6	X
cana-5078	57	2	.	.	X
cana-5078	57	3	documenting	document	VERB
cana-5078	57	4	the	the	DET
cana-5078	57	5	exact	exact	ADJ
cana-5078	57	6	search	search	NOUN
cana-5078	57	7	strings	string	NOUN
cana-5078	57	8	used	use	VERB
cana-5078	57	9	for	for	ADP
cana-5078	57	10	each	each	DET
cana-5078	57	11	database	database	NOUN
cana-5078	57	12	to	to	PART
cana-5078	57	13	ensure	ensure	VERB
cana-5078	57	14	reproducibility	reproducibility	NOUN
cana-5078	57	15	.	.	PUNCT
cana-5078	58	1	7	7	X
cana-5078	58	2	.	.	X
cana-5078	58	3	considering	consider	VERB
cana-5078	58	4	the	the	DET
cana-5078	58	5	use	use	NOUN
cana-5078	58	6	of	of	ADP
cana-5078	58	7	citation	citation	NOUN
cana-5078	58	8	management	management	NOUN
cana-5078	58	9	software	software	NOUN
cana-5078	58	10	to	to	PART
cana-5078	58	11	organize	organize	VERB
cana-5078	58	12	and	and	CCONJ
cana-5078	58	13	deduplicate	deduplicate	PROPN
cana-5078	58	14	search	search	NOUN
cana-5078	58	15	results	result	NOUN
cana-5078	58	16	efficiently	efficiently	ADV
cana-5078	58	17	.	.	PUNCT
cana-5078	59	1	the	the	DET
cana-5078	59	2	inclusion	inclusion	NOUN
cana-5078	59	3	and	and	CCONJ
cana-5078	59	4	exclusion	exclusion	NOUN
cana-5078	59	5	criteria	criterion	NOUN
cana-5078	59	6	are	be	AUX
cana-5078	59	7	clear	clear	ADJ
cana-5078	59	8	and	and	CCONJ
cana-5078	59	9	appropriate	appropriate	ADJ
cana-5078	59	10	for	for	SCONJ
cana-5078	59	11	the	the	DET
cana-5078	59	12	review	review	NOUN
cana-5078	59	13	's	's	PART
cana-5078	59	14	focus	focus	NOUN
cana-5078	59	15	is	be	AUX
cana-5078	59	16	considered	consider	VERB
cana-5078	59	17	through	through	ADP
cana-5078	59	18	1	1	NUM
cana-5078	59	19	.	.	PUNCT
cana-5078	59	20	specifying	specify	VERB
cana-5078	59	21	a	a	DET
cana-5078	59	22	minimum	minimum	ADJ
cana-5078	59	23	sample	sample	NOUN
cana-5078	59	24	size	size	NOUN
cana-5078	59	25	or	or	CCONJ
cana-5078	59	26	study	study	NOUN
cana-5078	59	27	duration	duration	NOUN
cana-5078	59	28	if	if	SCONJ
cana-5078	59	29	applicable	applicable	ADJ
cana-5078	59	30	.	.	PUNCT
cana-5078	60	1	2	2	X
cana-5078	60	2	.	.	PUNCT
cana-5078	60	3	clarifying	clarify	VERB
cana-5078	60	4	whether	whether	SCONJ
cana-5078	60	5	studies	study	NOUN
cana-5078	60	6	using	use	VERB
cana-5078	60	7	hybrid	hybrid	ADJ
cana-5078	60	8	methods	method	NOUN
cana-5078	60	9	(	(	PUNCT
cana-5078	60	10	combining	combine	VERB
cana-5078	60	11	traditional	traditional	ADJ
cana-5078	60	12	and	and	CCONJ
cana-5078	60	13	machine	machine	NOUN
cana-5078	60	14	learning	learning	NOUN
cana-5078	60	15	approaches	approach	NOUN
cana-5078	60	16	)	)	PUNCT
cana-5078	60	17	are	be	AUX
cana-5078	60	18	included	include	VERB
cana-5078	60	19	.	.	PUNCT
cana-5078	61	1	3	3	X
cana-5078	61	2	.	.	X
cana-5078	61	3	addressing	address	VERB
cana-5078	61	4	how	how	SCONJ
cana-5078	61	5	to	to	PART
cana-5078	61	6	handle	handle	VERB
cana-5078	61	7	studies	study	NOUN
cana-5078	61	8	with	with	ADP
cana-5078	61	9	multiple	multiple	ADJ
cana-5078	61	10	publications	publication	NOUN
cana-5078	61	11	on	on	ADP
cana-5078	61	12	the	the	DET
cana-5078	61	13	same	same	ADJ
cana-5078	61	14	dataset	dataset	NOUN
cana-5078	61	15	.	.	PUNCT
cana-5078	62	1	the	the	DET
cana-5078	62	2	data	data	NOUN
cana-5078	62	3	extraction	extraction	NOUN
cana-5078	62	4	and	and	CCONJ
cana-5078	62	5	analysis	analysis	NOUN
cana-5078	62	6	process	process	NOUN
cana-5078	62	7	appear	appear	VERB
cana-5078	62	8	sound	sound	ADJ
cana-5078	62	9	.	.	PUNCT
cana-5078	63	1	to	to	PART
cana-5078	63	2	strengthen	strengthen	VERB
cana-5078	63	3	this	this	DET
cana-5078	63	4	section	section	NOUN
cana-5078	63	5	:	:	PUNCT
cana-5078	63	6	1	1	X
cana-5078	63	7	.	.	X
cana-5078	63	8	develop	develop	VERB
cana-5078	63	9	a	a	DET
cana-5078	63	10	standardized	standardized	ADJ
cana-5078	63	11	data	data	NOUN
cana-5078	63	12	extraction	extraction	NOUN
cana-5078	63	13	form	form	NOUN
cana-5078	63	14	to	to	PART
cana-5078	63	15	ensure	ensure	VERB
cana-5078	63	16	consistency	consistency	NOUN
cana-5078	63	17	across	across	ADP
cana-5078	63	18	studies	study	NOUN
cana-5078	63	19	.	.	PUNCT
cana-5078	64	1	2	2	X
cana-5078	64	2	.	.	X
cana-5078	64	3	consider	consider	VERB
cana-5078	64	4	using	use	VERB
cana-5078	64	5	multiple	multiple	ADJ
cana-5078	64	6	reviewers	reviewer	NOUN
cana-5078	64	7	for	for	ADP
cana-5078	64	8	data	data	NOUN
cana-5078	64	9	extraction	extraction	NOUN
cana-5078	64	10	and	and	CCONJ
cana-5078	64	11	implementing	implement	VERB
cana-5078	64	12	a	a	DET
cana-5078	64	13	process	process	NOUN
cana-5078	64	14	for	for	ADP
cana-5078	64	15	resolving	resolve	VERB
cana-5078	64	16	discrepancies	discrepancy	NOUN
cana-5078	64	17	.	.	PUNCT
cana-5078	65	1	3	3	X
cana-5078	65	2	.	.	X
cana-5078	65	3	specify	specify	VERB
cana-5078	65	4	the	the	DET
cana-5078	65	5	approach	approach	NOUN
cana-5078	65	6	for	for	ADP
cana-5078	65	7	assessing	assess	VERB
cana-5078	65	8	the	the	DET
cana-5078	65	9	quality	quality	NOUN
cana-5078	65	10	or	or	CCONJ
cana-5078	65	11	risk	risk	NOUN
cana-5078	65	12	of	of	ADP
cana-5078	65	13	bias	bias	NOUN
cana-5078	65	14	in	in	ADP
cana-5078	65	15	included	include	VERB
cana-5078	65	16	studies	study	NOUN
cana-5078	65	17	.	.	PUNCT
cana-5078	66	1	communications	communication	NOUN
cana-5078	66	2	on	on	ADP
cana-5078	66	3	applied	apply	VERB
cana-5078	66	4	nonlinear	nonlinear	ADJ
cana-5078	66	5	analysis	analysis	NOUN
cana-5078	66	6	issn	issn	NOUN
cana-5078	66	7	:	:	PUNCT
cana-5078	66	8	1074	1074	NUM
cana-5078	66	9	-	-	PUNCT
cana-5078	66	10	133x	133x	NUM
cana-5078	66	11	vol	vol	NOUN
cana-5078	66	12	32	32	NUM
cana-5078	66	13	no	no	NOUN
cana-5078	66	14	.	.	PUNCT
cana-5078	67	1	icmasd	icmasd	NOUN
cana-5078	67	2	(	(	PUNCT
cana-5078	67	3	2025	2025	NUM
cana-5078	67	4	)	)	PUNCT
cana-5078	67	5	513	513	NUM
cana-5078	67	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5078	67	7	3.2	3.2	NUM
cana-5078	67	8	.	.	PUNCT
cana-5078	68	1	research	research	NOUN
cana-5078	68	2	questions	question	NOUN
cana-5078	68	3	i.	i.	PROPN
cana-5078	68	4	how	how	SCONJ
cana-5078	68	5	do	do	AUX
cana-5078	68	6	different	different	ADJ
cana-5078	68	7	machine	machine	NOUN
cana-5078	68	8	learning	learn	VERB
cana-5078	68	9	algorithms	algorithm	NOUN
cana-5078	68	10	compare	compare	VERB
cana-5078	68	11	in	in	ADP
cana-5078	68	12	their	their	PRON
cana-5078	68	13	effectiveness	effectiveness	NOUN
cana-5078	68	14	for	for	ADP
cana-5078	68	15	predicting	predict	VERB
cana-5078	68	16	hurricane	hurricane	NOUN
cana-5078	68	17	trajectories	trajectory	NOUN
cana-5078	68	18	?	?	PUNCT
cana-5078	69	1	ii	ii	X
cana-5078	69	2	.	.	PUNCT
cana-5078	70	1	what	what	PRON
cana-5078	70	2	are	be	AUX
cana-5078	70	3	the	the	DET
cana-5078	70	4	most	most	ADV
cana-5078	70	5	accurate	accurate	ADJ
cana-5078	70	6	machine	machine	NOUN
cana-5078	70	7	learning	learn	VERB
cana-5078	70	8	techniques	technique	NOUN
cana-5078	70	9	for	for	ADP
cana-5078	70	10	forecasting	forecast	VERB
cana-5078	70	11	hurricane	hurricane	NOUN
cana-5078	70	12	intensity	intensity	NOUN
cana-5078	70	13	?	?	PUNCT
cana-5078	71	1	iii	iii	X
cana-5078	71	2	.	.	PUNCT
cana-5078	72	1	what	what	PRON
cana-5078	72	2	are	be	AUX
cana-5078	72	3	the	the	DET
cana-5078	72	4	current	current	ADJ
cana-5078	72	5	limitations	limitation	NOUN
cana-5078	72	6	and	and	CCONJ
cana-5078	72	7	challenges	challenge	NOUN
cana-5078	72	8	in	in	ADP
cana-5078	72	9	applying	apply	VERB
cana-5078	72	10	machine	machine	NOUN
cana-5078	72	11	learning	learning	NOUN
cana-5078	72	12	to	to	ADP
cana-5078	72	13	hurricane	hurricane	NOUN
cana-5078	72	14	forecasting	forecasting	NOUN
cana-5078	72	15	?	?	PUNCT
cana-5078	73	1	4	4	X
cana-5078	73	2	.	.	X
cana-5078	73	3	related	relate	VERB
cana-5078	73	4	work	work	NOUN
cana-5078	73	5	(	(	PUNCT
cana-5078	73	6	ho	ho	PROPN
cana-5078	73	7	et	et	PROPN
cana-5078	73	8	al	al	PROPN
cana-5078	73	9	.	.	PROPN
cana-5078	73	10	,	,	PUNCT
cana-5078	73	11	2024	2024	NUM
cana-5078	73	12	)	)	PUNCT
cana-5078	73	13	,	,	PUNCT
cana-5078	73	14	two	two	NUM
cana-5078	73	15	artificial	artificial	ADJ
cana-5078	73	16	intelligence	intelligence	NOUN
cana-5078	73	17	(	(	PUNCT
cana-5078	73	18	ai	ai	NOUN
cana-5078	73	19	)	)	PUNCT
cana-5078	73	20	models	model	NOUN
cana-5078	73	21	were	be	AUX
cana-5078	73	22	developed	develop	VERB
cana-5078	73	23	to	to	PART
cana-5078	73	24	identify	identify	VERB
cana-5078	73	25	the	the	DET
cana-5078	73	26	center	center	NOUN
cana-5078	73	27	of	of	ADP
cana-5078	73	28	tropical	tropical	ADJ
cana-5078	73	29	cyclones	cyclone	NOUN
cana-5078	73	30	(	(	PUNCT
cana-5078	73	31	tcs	tcs	NOUN
cana-5078	73	32	)	)	PUNCT
cana-5078	73	33	in	in	ADP
cana-5078	73	34	the	the	DET
cana-5078	73	35	western	western	ADJ
cana-5078	73	36	north	north	PROPN
cana-5078	73	37	pacific	pacific	PROPN
cana-5078	73	38	,	,	PUNCT
cana-5078	73	39	utilizing	utilize	VERB
cana-5078	73	40	six	six	NUM
cana-5078	73	41	geostationary	geostationary	ADJ
cana-5078	73	42	satellite	satellite	NOUN
cana-5078	73	43	channels	channel	NOUN
cana-5078	73	44	:	:	PUNCT
cana-5078	73	45	four	four	NUM
cana-5078	73	46	infrared	infrared	ADJ
cana-5078	73	47	(	(	PUNCT
cana-5078	73	48	ir	ir	NOUN
cana-5078	73	49	)	)	PUNCT
cana-5078	73	50	channels	channel	NOUN
cana-5078	73	51	for	for	ADP
cana-5078	73	52	brightness	brightness	NOUN
cana-5078	73	53	temperature	temperature	NOUN
cana-5078	73	54	,	,	PUNCT
cana-5078	73	55	one	one	NUM
cana-5078	73	56	shortwave	shortwave	NOUN
cana-5078	73	57	ir	ir	PROPN
cana-5078	73	58	channel	channel	NOUN
cana-5078	73	59	,	,	PUNCT
cana-5078	73	60	and	and	CCONJ
cana-5078	73	61	one	one	NUM
cana-5078	73	62	visible	visible	ADJ
cana-5078	73	63	channel	channel	NOUN
cana-5078	73	64	for	for	ADP
cana-5078	73	65	reflectivity	reflectivity	NOUN
cana-5078	73	66	.	.	PUNCT
cana-5078	74	1	(	(	PUNCT
cana-5078	74	2	wei	wei	PROPN
cana-5078	74	3	and	and	CCONJ
cana-5078	74	4	yang	yang	PROPN
cana-5078	74	5	,	,	PUNCT
cana-5078	74	6	2021	2021	NUM
cana-5078	74	7	)	)	PUNCT
cana-5078	74	8	the	the	DET
cana-5078	74	9	first	first	ADJ
cana-5078	74	10	model	model	NOUN
cana-5078	74	11	is	be	AUX
cana-5078	74	12	a	a	DET
cana-5078	74	13	convolutional	convolutional	ADJ
cana-5078	74	14	neural	neural	ADJ
cana-5078	74	15	network	network	NOUN
cana-5078	74	16	(	(	PUNCT
cana-5078	74	17	cnn	cnn	PROPN
cana-5078	74	18	)	)	PUNCT
cana-5078	74	19	for	for	ADP
cana-5078	74	20	spatial	spatial	ADJ
cana-5078	74	21	data	datum	NOUN
cana-5078	74	22	processing	processing	NOUN
cana-5078	74	23	,	,	PUNCT
cana-5078	74	24	while	while	SCONJ
cana-5078	74	25	the	the	DET
cana-5078	74	26	second	second	NOUN
cana-5078	74	27	is	be	AUX
cana-5078	74	28	a	a	DET
cana-5078	74	29	convolutional	convolutional	ADJ
cana-5078	74	30	long	long	ADJ
cana-5078	74	31	short	short	ADJ
cana-5078	74	32	-	-	PUNCT
cana-5078	74	33	term	term	NOUN
cana-5078	74	34	memory	memory	NOUN
cana-5078	74	35	(	(	PUNCT
cana-5078	74	36	lstm	lstm	NOUN
cana-5078	74	37	)	)	PUNCT
cana-5078	74	38	model	model	NOUN
cana-5078	74	39	designed	design	VERB
cana-5078	74	40	to	to	PART
cana-5078	74	41	capture	capture	VERB
cana-5078	74	42	spatiotemporal	spatiotemporal	ADJ
cana-5078	74	43	features	feature	NOUN
cana-5078	74	44	.	.	PUNCT
cana-5078	75	1	these	these	DET
cana-5078	75	2	models	model	NOUN
cana-5078	75	3	were	be	AUX
cana-5078	75	4	trained	train	VERB
cana-5078	75	5	,	,	PUNCT
cana-5078	75	6	validated	validate	VERB
cana-5078	75	7	,	,	PUNCT
cana-5078	75	8	and	and	CCONJ
cana-5078	75	9	tested	test	VERB
cana-5078	75	10	using	use	VERB
cana-5078	75	11	spatial	spatial	ADJ
cana-5078	75	12	images	image	NOUN
cana-5078	75	13	from	from	ADP
cana-5078	75	14	the	the	DET
cana-5078	75	15	himawari-8	himawari-8	PROPN
cana-5078	75	16	satellite	satellite	NOUN
cana-5078	75	17	(	(	PUNCT
cana-5078	75	18	2016–2021	2016–2021	NUM
cana-5078	75	19	)	)	PUNCT
cana-5078	75	20	,	,	PUNCT
cana-5078	75	21	with	with	ADP
cana-5078	75	22	initial	initial	ADJ
cana-5078	75	23	positions	position	NOUN
cana-5078	75	24	derived	derive	VERB
cana-5078	75	25	from	from	ADP
cana-5078	75	26	the	the	DET
cana-5078	75	27	european	european	ADJ
cana-5078	75	28	centre	centre	NOUN
cana-5078	75	29	for	for	ADP
cana-5078	75	30	medium	medium	ADJ
cana-5078	75	31	-	-	PUNCT
cana-5078	75	32	range	range	NOUN
cana-5078	75	33	weather	weather	NOUN
cana-5078	75	34	forecasts	forecast	NOUN
cana-5078	75	35	'	'	PART
cana-5078	75	36	6or	6or	ADJ
cana-5078	75	37	12	12	NUM
cana-5078	75	38	-	-	PUNCT
cana-5078	75	39	hour	hour	NOUN
cana-5078	75	40	predictions	prediction	NOUN
cana-5078	75	41	.	.	PUNCT
cana-5078	76	1	initial	initial	ADJ
cana-5078	76	2	error	error	NOUN
cana-5078	76	3	compared	compare	VERB
cana-5078	76	4	to	to	ADP
cana-5078	76	5	the	the	DET
cana-5078	76	6	joint	joint	ADJ
cana-5078	76	7	typhoon	typhoon	NOUN
cana-5078	76	8	warning	warning	NOUN
cana-5078	76	9	center	center	NOUN
cana-5078	76	10	’s	’s	PART
cana-5078	76	11	best	good	ADJ
cana-5078	76	12	track	track	NOUN
cana-5078	76	13	ranged	range	VERB
cana-5078	76	14	from	from	ADP
cana-5078	76	15	20	20	NUM
cana-5078	76	16	to	to	PART
cana-5078	76	17	50	50	NUM
cana-5078	76	18	km	km	NOUN
cana-5078	76	19	,	,	PUNCT
cana-5078	76	20	with	with	ADP
cana-5078	76	21	weaker	weak	ADJ
cana-5078	76	22	tcs	tcs	NOUN
cana-5078	76	23	showing	show	VERB
cana-5078	76	24	larger	large	ADJ
cana-5078	76	25	errors	error	NOUN
cana-5078	76	26	.	.	PUNCT
cana-5078	77	1	(	(	PUNCT
cana-5078	77	2	ho	ho	PROPN
cana-5078	77	3	et	et	PROPN
cana-5078	77	4	al	al	PROPN
cana-5078	77	5	.	.	PROPN
cana-5078	77	6	,	,	PUNCT
cana-5078	77	7	2024	2024	NUM
cana-5078	77	8	)	)	PUNCT
cana-5078	77	9	the	the	DET
cana-5078	77	10	ai	ai	PROPN
cana-5078	77	11	models	model	NOUN
cana-5078	77	12	outperformed	outperform	VERB
cana-5078	77	13	or	or	CCONJ
cana-5078	77	14	matched	match	VERB
cana-5078	77	15	the	the	DET
cana-5078	77	16	performance	performance	NOUN
cana-5078	77	17	of	of	ADP
cana-5078	77	18	the	the	DET
cana-5078	77	19	automated	automate	VERB
cana-5078	77	20	rotational	rotational	ADJ
cana-5078	77	21	center	center	NOUN
cana-5078	77	22	hurricane	hurricane	PROPN
cana-5078	77	23	eye	eye	NOUN
cana-5078	77	24	retrieval	retrieval	NOUN
cana-5078	77	25	(	(	PUNCT
cana-5078	77	26	archer	archer	ADJ
cana-5078	77	27	)	)	PUNCT
cana-5078	77	28	product	product	NOUN
cana-5078	77	29	,	,	PUNCT
cana-5078	77	30	which	which	PRON
cana-5078	77	31	is	be	AUX
cana-5078	77	32	typically	typically	ADV
cana-5078	77	33	reliant	reliant	ADJ
cana-5078	77	34	on	on	ADP
cana-5078	77	35	data	datum	NOUN
cana-5078	77	36	from	from	ADP
cana-5078	77	37	both	both	CCONJ
cana-5078	77	38	geostationary	geostationary	ADJ
cana-5078	77	39	and	and	CCONJ
cana-5078	77	40	polar	polar	ADJ
cana-5078	77	41	-	-	PUNCT
cana-5078	77	42	orbiting	orbit	VERB
cana-5078	77	43	satellites	satellite	NOUN
cana-5078	77	44	.	.	PUNCT
cana-5078	78	1	the	the	DET
cana-5078	78	2	absence	absence	NOUN
cana-5078	78	3	of	of	ADP
cana-5078	78	4	microwave	microwave	NOUN
cana-5078	78	5	data	datum	NOUN
cana-5078	78	6	from	from	ADP
cana-5078	78	7	polar	polar	ADJ
cana-5078	78	8	-	-	PUNCT
cana-5078	78	9	orbiting	orbit	VERB
cana-5078	78	10	satellites	satellite	NOUN
cana-5078	78	11	led	lead	VERB
cana-5078	78	12	to	to	ADP
cana-5078	78	13	larger	large	ADJ
cana-5078	78	14	errors	error	NOUN
cana-5078	78	15	in	in	ADP
cana-5078	78	16	archer	archer	NOUN
cana-5078	78	17	,	,	PUNCT
cana-5078	78	18	while	while	SCONJ
cana-5078	78	19	the	the	DET
cana-5078	78	20	ai	ai	PROPN
cana-5078	78	21	models	model	NOUN
cana-5078	78	22	achieved	achieve	VERB
cana-5078	78	23	consistent	consistent	ADJ
cana-5078	78	24	and	and	CCONJ
cana-5078	78	25	potentially	potentially	ADV
cana-5078	78	26	operationally	operationally	ADV
cana-5078	78	27	viable	viable	ADJ
cana-5078	78	28	results	result	NOUN
cana-5078	78	29	using	use	VERB
cana-5078	78	30	only	only	ADV
cana-5078	78	31	geostationary	geostationary	ADJ
cana-5078	78	32	satellite	satellite	NOUN
cana-5078	78	33	data	datum	NOUN
cana-5078	78	34	.	.	PUNCT
cana-5078	79	1	(	(	PUNCT
cana-5078	79	2	xu	xu	INTJ
cana-5078	79	3	et	et	PROPN
cana-5078	79	4	al	al	PROPN
cana-5078	79	5	.	.	PROPN
cana-5078	79	6	,	,	PUNCT
cana-5078	79	7	2023	2023	NUM
cana-5078	79	8	)	)	PUNCT
cana-5078	79	9	a	a	DET
cana-5078	79	10	key	key	ADJ
cana-5078	79	11	objective	objective	NOUN
cana-5078	79	12	in	in	ADP
cana-5078	79	13	climate	climate	NOUN
cana-5078	79	14	science	science	NOUN
cana-5078	79	15	research	research	NOUN
cana-5078	79	16	is	be	AUX
cana-5078	79	17	to	to	PART
cana-5078	79	18	characterize	characterize	VERB
cana-5078	79	19	extreme	extreme	ADJ
cana-5078	79	20	events	event	NOUN
cana-5078	79	21	in	in	ADP
cana-5078	79	22	both	both	CCONJ
cana-5078	79	23	current	current	ADJ
cana-5078	79	24	and	and	CCONJ
cana-5078	79	25	future	future	ADJ
cana-5078	79	26	climate	climate	NOUN
cana-5078	79	27	projections	projection	NOUN
cana-5078	79	28	.	.	PUNCT
cana-5078	80	1	extreme	extreme	ADJ
cana-5078	80	2	climate	climate	NOUN
cana-5078	80	3	events	event	NOUN
cana-5078	80	4	,	,	PUNCT
cana-5078	80	5	such	such	ADJ
cana-5078	80	6	as	as	ADP
cana-5078	80	7	hurricanes	hurricane	NOUN
cana-5078	80	8	and	and	CCONJ
cana-5078	80	9	heat	heat	NOUN
cana-5078	80	10	waves	wave	NOUN
cana-5078	80	11	,	,	PUNCT
cana-5078	80	12	represent	represent	VERB
cana-5078	80	13	significant	significant	ADJ
cana-5078	80	14	threats	threat	NOUN
cana-5078	80	15	to	to	ADP
cana-5078	80	16	infrastructure	infrastructure	NOUN
cana-5078	80	17	,	,	PUNCT
cana-5078	80	18	property	property	NOUN
cana-5078	80	19	,	,	PUNCT
cana-5078	80	20	and	and	CCONJ
cana-5078	80	21	human	human	ADJ
cana-5078	80	22	safety	safety	NOUN
cana-5078	80	23	.	.	PUNCT
cana-5078	81	1	satellites	satellite	NOUN
cana-5078	81	2	capture	capture	VERB
cana-5078	81	3	vast	vast	ADJ
cana-5078	81	4	amounts	amount	NOUN
cana-5078	81	5	of	of	ADP
cana-5078	81	6	global	global	ADJ
cana-5078	81	7	data	datum	NOUN
cana-5078	81	8	—	—	PUNCT
cana-5078	81	9	approximately	approximately	ADV
cana-5078	81	10	ten	ten	NUM
cana-5078	81	11	trillion	trillion	NUM
cana-5078	81	12	terabytes	terabyte	NOUN
cana-5078	81	13	annually	annually	ADV
cana-5078	81	14	—	—	PUNCT
cana-5078	81	15	providing	provide	VERB
cana-5078	81	16	valuable	valuable	ADJ
cana-5078	81	17	insights	insight	NOUN
cana-5078	81	18	into	into	ADP
cana-5078	81	19	the	the	DET
cana-5078	81	20	dynamics	dynamic	NOUN
cana-5078	81	21	of	of	ADP
cana-5078	81	22	the	the	DET
cana-5078	81	23	climate	climate	NOUN
cana-5078	81	24	system	system	NOUN
cana-5078	81	25	.	.	PUNCT
cana-5078	82	1	utilizing	utilize	VERB
cana-5078	82	2	extreme	extreme	ADJ
cana-5078	82	3	climate	climate	NOUN
cana-5078	82	4	analysis	analysis	NOUN
cana-5078	82	5	toolkits	toolkit	NOUN
cana-5078	82	6	to	to	PART
cana-5078	82	7	assess	assess	VERB
cana-5078	82	8	features	feature	NOUN
cana-5078	82	9	like	like	ADP
cana-5078	82	10	cyclonic	cyclonic	ADJ
cana-5078	82	11	activity	activity	NOUN
cana-5078	82	12	,	,	PUNCT
cana-5078	82	13	pressure	pressure	NOUN
cana-5078	82	14	patterns	pattern	NOUN
cana-5078	82	15	,	,	PUNCT
cana-5078	82	16	and	and	CCONJ
cana-5078	82	17	other	other	ADJ
cana-5078	82	18	characteristics	characteristic	NOUN
cana-5078	82	19	of	of	ADP
cana-5078	82	20	tropical	tropical	ADJ
cana-5078	82	21	cyclones	cyclone	NOUN
cana-5078	82	22	(	(	PUNCT
cana-5078	82	23	tcs	tcs	NOUN
cana-5078	82	24	)	)	PUNCT
cana-5078	82	25	is	be	AUX
cana-5078	82	26	highly	highly	ADV
cana-5078	82	27	beneficial	beneficial	ADJ
cana-5078	82	28	.	.	PUNCT
cana-5078	83	1	with	with	ADP
cana-5078	83	2	advancements	advancement	NOUN
cana-5078	83	3	in	in	ADP
cana-5078	83	4	artificial	artificial	ADJ
cana-5078	83	5	intelligence	intelligence	NOUN
cana-5078	83	6	(	(	PUNCT
cana-5078	83	7	ai	ai	NOUN
cana-5078	83	8	)	)	PUNCT
cana-5078	83	9	,	,	PUNCT
cana-5078	83	10	particularly	particularly	ADV
cana-5078	83	11	deep	deep	ADJ
cana-5078	83	12	learning	learning	NOUN
cana-5078	83	13	techniques	technique	NOUN
cana-5078	83	14	,	,	PUNCT
cana-5078	83	15	promising	promise	VERB
cana-5078	83	16	results	result	NOUN
cana-5078	83	17	have	have	AUX
cana-5078	83	18	emerged	emerge	VERB
cana-5078	83	19	in	in	ADP
cana-5078	83	20	pattern	pattern	NOUN
cana-5078	83	21	recognition	recognition	NOUN
cana-5078	83	22	tasks	task	NOUN
cana-5078	83	23	,	,	PUNCT
cana-5078	83	24	suggesting	suggest	VERB
cana-5078	83	25	that	that	SCONJ
cana-5078	83	26	these	these	DET
cana-5078	83	27	technologies	technology	NOUN
cana-5078	83	28	can	can	AUX
cana-5078	83	29	enhance	enhance	VERB
cana-5078	83	30	our	our	PRON
cana-5078	83	31	ability	ability	NOUN
cana-5078	83	32	to	to	PART
cana-5078	83	33	predict	predict	VERB
cana-5078	83	34	and	and	CCONJ
cana-5078	83	35	analyze	analyze	VERB
cana-5078	83	36	tropical	tropical	ADJ
cana-5078	83	37	cyclones	cyclone	NOUN
cana-5078	83	38	.	.	PUNCT
cana-5078	84	1	various	various	ADJ
cana-5078	84	2	deep	deep	ADJ
cana-5078	84	3	-	-	PUNCT
cana-5078	84	4	learning	learn	VERB
cana-5078	84	5	models	model	NOUN
cana-5078	84	6	will	will	AUX
cana-5078	84	7	be	be	AUX
cana-5078	84	8	employed	employ	VERB
cana-5078	84	9	to	to	PART
cana-5078	84	10	predict	predict	VERB
cana-5078	84	11	and	and	CCONJ
cana-5078	84	12	evaluate	evaluate	VERB
cana-5078	84	13	hurricane	hurricane	NOUN
cana-5078	84	14	events	event	NOUN
cana-5078	84	15	,	,	PUNCT
cana-5078	84	16	as	as	ADV
cana-5078	84	17	well	well	ADV
cana-5078	84	18	as	as	ADP
cana-5078	84	19	to	to	PART
cana-5078	84	20	assess	assess	VERB
cana-5078	84	21	the	the	DET
cana-5078	84	22	strength	strength	NOUN
cana-5078	84	23	of	of	ADP
cana-5078	84	24	tropical	tropical	ADJ
cana-5078	84	25	cyclones	cyclone	NOUN
cana-5078	84	26	.	.	PUNCT
cana-5078	85	1	(	(	PUNCT
cana-5078	85	2	wei	wei	PROPN
cana-5078	85	3	and	and	CCONJ
cana-5078	85	4	yang	yang	PROPN
cana-5078	85	5	,	,	PUNCT
cana-5078	85	6	2021	2021	NUM
cana-5078	85	7	)	)	PUNCT
cana-5078	85	8	most	most	ADJ
cana-5078	85	9	current	current	ADJ
cana-5078	85	10	studies	study	NOUN
cana-5078	85	11	on	on	ADP
cana-5078	85	12	tropical	tropical	ADJ
cana-5078	85	13	cyclone	cyclone	NOUN
cana-5078	85	14	(	(	PUNCT
cana-5078	85	15	tc	tc	NOUN
cana-5078	85	16	)	)	PUNCT
cana-5078	85	17	rapid	rapid	ADJ
cana-5078	85	18	intensification	intensification	NOUN
cana-5078	85	19	(	(	PUNCT
cana-5078	85	20	ri	ri	NOUN
cana-5078	85	21	)	)	PUNCT
cana-5078	85	22	prediction	prediction	NOUN
cana-5078	85	23	rely	rely	VERB
cana-5078	85	24	on	on	ADP
cana-5078	85	25	a	a	DET
cana-5078	85	26	subset	subset	NOUN
cana-5078	85	27	of	of	ADP
cana-5078	85	28	the	the	DET
cana-5078	85	29	ships	ship	NOUN
cana-5078	85	30	database	database	NOUN
cana-5078	85	31	and	and	CCONJ
cana-5078	85	32	employ	employ	VERB
cana-5078	85	33	relatively	relatively	ADV
cana-5078	85	34	simple	simple	ADJ
cana-5078	85	35	model	model	NOUN
cana-5078	85	36	structures	structure	NOUN
cana-5078	85	37	.	.	PUNCT
cana-5078	86	1	however	however	ADV
cana-5078	86	2	,	,	PUNCT
cana-5078	86	3	the	the	DET
cana-5078	86	4	variables	variable	NOUN
cana-5078	86	5	in	in	ADP
cana-5078	86	6	the	the	DET
cana-5078	86	7	ships	ship	NOUN
cana-5078	86	8	database	database	NOUN
cana-5078	86	9	are	be	AUX
cana-5078	86	10	derived	derive	VERB
cana-5078	86	11	from	from	ADP
cana-5078	86	12	human	human	ADJ
cana-5078	86	13	expertise	expertise	NOUN
cana-5078	86	14	in	in	ADP
cana-5078	86	15	tc	tc	NUM
cana-5078	86	16	intensity	intensity	NOUN
cana-5078	86	17	,	,	PUNCT
cana-5078	86	18	often	often	ADV
cana-5078	86	19	based	base	VERB
cana-5078	86	20	on	on	ADP
cana-5078	86	21	subjective	subjective	ADJ
cana-5078	86	22	thresholds	threshold	NOUN
cana-5078	86	23	,	,	PUNCT
cana-5078	86	24	and	and	CCONJ
cana-5078	86	25	their	their	PRON
cana-5078	86	26	full	full	ADJ
cana-5078	86	27	potential	potential	NOUN
cana-5078	86	28	has	have	VERB
cana-5078	86	29	yet	yet	ADV
cana-5078	86	30	to	to	PART
cana-5078	86	31	be	be	AUX
cana-5078	86	32	realized	realize	VERB
cana-5078	86	33	.	.	PUNCT
cana-5078	87	1	(	(	PUNCT
cana-5078	87	2	jiang	jiang	PROPN
cana-5078	87	3	et	et	PROPN
cana-5078	87	4	al	al	PROPN
cana-5078	87	5	.	.	PROPN
cana-5078	87	6	,	,	PUNCT
cana-5078	87	7	2023	2023	NUM
cana-5078	87	8	)	)	PUNCT
cana-5078	87	9	this	this	DET
cana-5078	87	10	study	study	NOUN
cana-5078	87	11	develops	develop	VERB
cana-5078	87	12	an	an	DET
cana-5078	87	13	advanced	advanced	ADJ
cana-5078	87	14	artificial	artificial	ADJ
cana-5078	87	15	intelligence	intelligence	NOUN
cana-5078	87	16	(	(	PUNCT
cana-5078	87	17	ai	ai	NOUN
cana-5078	87	18	)	)	PUNCT
cana-5078	87	19	system	system	NOUN
cana-5078	87	20	that	that	PRON
cana-5078	87	21	simultaneously	simultaneously	ADV
cana-5078	87	22	handles	handle	VERB
cana-5078	87	23	feature	feature	NOUN
cana-5078	87	24	engineering	engineering	NOUN
cana-5078	87	25	,	,	PUNCT
cana-5078	87	26	feature	feature	NOUN
cana-5078	87	27	selection	selection	NOUN
cana-5078	87	28	,	,	PUNCT
cana-5078	87	29	data	datum	NOUN
cana-5078	87	30	imbalance	imbalance	NOUN
cana-5078	87	31	,	,	PUNCT
cana-5078	87	32	prediction	prediction	NOUN
cana-5078	87	33	,	,	PUNCT
cana-5078	87	34	and	and	CCONJ
cana-5078	87	35	hyperparameter	hyperparameter	NOUN
cana-5078	87	36	tuning	tuning	NOUN
cana-5078	87	37	,	,	PUNCT
cana-5078	87	38	using	use	VERB
cana-5078	87	39	the	the	DET
cana-5078	87	40	complete	complete	ADJ
cana-5078	87	41	ships	ship	NOUN
cana-5078	87	42	dataset	dataset	VERB
cana-5078	87	43	.	.	PUNCT
cana-5078	88	1	the	the	DET
cana-5078	88	2	ai	ai	PROPN
cana-5078	88	3	system	system	NOUN
cana-5078	88	4	aims	aim	VERB
cana-5078	88	5	to	to	PART
cana-5078	88	6	enhance	enhance	VERB
cana-5078	88	7	the	the	DET
cana-5078	88	8	performance	performance	NOUN
cana-5078	88	9	of	of	ADP
cana-5078	88	10	existing	exist	VERB
cana-5078	88	11	ri	ri	PROPN
cana-5078	88	12	prediction	prediction	NOUN
cana-5078	88	13	communications	communication	NOUN
cana-5078	88	14	on	on	ADP
cana-5078	88	15	applied	apply	VERB
cana-5078	88	16	nonlinear	nonlinear	ADJ
cana-5078	88	17	analysis	analysis	NOUN
cana-5078	88	18	issn	issn	NOUN
cana-5078	88	19	:	:	PUNCT
cana-5078	88	20	1074	1074	NUM
cana-5078	88	21	-	-	PUNCT
cana-5078	88	22	133x	133x	NUM
cana-5078	88	23	vol	vol	NOUN
cana-5078	88	24	32	32	NUM
cana-5078	88	25	no	no	NOUN
cana-5078	88	26	.	.	PUNCT
cana-5078	89	1	icmasd	icmasd	NOUN
cana-5078	89	2	(	(	PUNCT
cana-5078	89	3	2025	2025	NUM
cana-5078	89	4	)	)	PUNCT
cana-5078	89	5	514	514	NUM
cana-5078	89	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5078	89	7	models	model	NOUN
cana-5078	90	1	and	and	CCONJ
cana-5078	90	2	identify	identify	VERB
cana-5078	90	3	additional	additional	ADJ
cana-5078	90	4	important	important	ADJ
cana-5078	90	5	ships	ship	NOUN
cana-5078	90	6	variables	variable	NOUN
cana-5078	90	7	that	that	PRON
cana-5078	90	8	were	be	AUX
cana-5078	90	9	overlooked	overlook	VERB
cana-5078	90	10	in	in	ADP
cana-5078	90	11	previous	previous	ADJ
cana-5078	90	12	research	research	NOUN
cana-5078	90	13	,	,	PUNCT
cana-5078	90	14	based	base	VERB
cana-5078	90	15	on	on	ADP
cana-5078	90	16	variable	variable	ADJ
cana-5078	90	17	importance	importance	NOUN
cana-5078	90	18	scores	score	NOUN
cana-5078	90	19	.	.	PUNCT
cana-5078	91	1	the	the	DET
cana-5078	91	2	results	result	NOUN
cana-5078	91	3	demonstrate	demonstrate	VERB
cana-5078	91	4	a	a	DET
cana-5078	91	5	significant	significant	ADJ
cana-5078	91	6	improvement	improvement	NOUN
cana-5078	91	7	,	,	PUNCT
cana-5078	91	8	outperforming	outperform	VERB
cana-5078	91	9	prior	prior	ADJ
cana-5078	91	10	studies	study	NOUN
cana-5078	91	11	by	by	ADP
cana-5078	91	12	approximately	approximately	ADV
cana-5078	91	13	21–50	21–50	NUM
cana-5078	91	14	%	%	NOUN
cana-5078	91	15	in	in	ADP
cana-5078	91	16	probability	probability	NOUN
cana-5078	91	17	of	of	ADP
cana-5078	91	18	detection	detection	NOUN
cana-5078	91	19	(	(	PUNCT
cana-5078	91	20	pod	pod	NOUN
cana-5078	91	21	)	)	PUNCT
cana-5078	91	22	while	while	SCONJ
cana-5078	91	23	reducing	reduce	VERB
cana-5078	91	24	the	the	DET
cana-5078	91	25	false	false	ADJ
cana-5078	91	26	alarm	alarm	NOUN
cana-5078	91	27	rate	rate	NOUN
cana-5078	91	28	(	(	PUNCT
cana-5078	91	29	far	far	ADV
cana-5078	91	30	)	)	PUNCT
cana-5078	91	31	.	.	PUNCT
cana-5078	92	1	this	this	DET
cana-5078	92	2	work	work	NOUN
cana-5078	92	3	establishes	establish	VERB
cana-5078	92	4	a	a	DET
cana-5078	92	5	baseline	baseline	NOUN
cana-5078	92	6	for	for	ADP
cana-5078	92	7	future	future	ADJ
cana-5078	92	8	efforts	effort	NOUN
cana-5078	92	9	in	in	ADP
cana-5078	92	10	identifying	identify	VERB
cana-5078	92	11	new	new	ADJ
cana-5078	92	12	predictors	predictor	NOUN
cana-5078	92	13	using	use	VERB
cana-5078	92	14	more	more	ADV
cana-5078	92	15	sophisticated	sophisticated	ADJ
cana-5078	92	16	ai	ai	ADJ
cana-5078	92	17	methods	method	NOUN
cana-5078	92	18	.	.	PUNCT
cana-5078	93	1	(	(	PUNCT
cana-5078	93	2	mercer	mercer	NOUN
cana-5078	93	3	and	and	CCONJ
cana-5078	93	4	grimes	grime	NOUN
cana-5078	93	5	,	,	PUNCT
cana-5078	93	6	2017	2017	NUM
cana-5078	93	7	)	)	PUNCT
cana-5078	93	8	forecasting	forecast	VERB
cana-5078	93	9	rapid	rapid	ADJ
cana-5078	93	10	intensification	intensification	NOUN
cana-5078	93	11	(	(	PUNCT
cana-5078	93	12	ri	ri	NOUN
cana-5078	93	13	)	)	PUNCT
cana-5078	93	14	of	of	ADP
cana-5078	93	15	atlantic	atlantic	ADJ
cana-5078	93	16	tropical	tropical	ADJ
cana-5078	93	17	cyclones	cyclone	NOUN
cana-5078	93	18	(	(	PUNCT
cana-5078	93	19	tcs	tcs	NOUN
cana-5078	93	20	)	)	PUNCT
cana-5078	93	21	remains	remain	VERB
cana-5078	93	22	a	a	DET
cana-5078	93	23	significant	significant	ADJ
cana-5078	93	24	challenge	challenge	NOUN
cana-5078	93	25	,	,	PUNCT
cana-5078	93	26	with	with	ADP
cana-5078	93	27	forecast	forecast	NOUN
cana-5078	93	28	skill	skill	NOUN
cana-5078	93	29	scores	score	NOUN
cana-5078	93	30	only	only	ADV
cana-5078	93	31	about	about	ADV
cana-5078	93	32	15	15	NUM
cana-5078	93	33	%	%	NOUN
cana-5078	93	34	better	well	ADJ
cana-5078	93	35	than	than	ADP
cana-5078	93	36	climatology	climatology	NOUN
cana-5078	93	37	.	.	PUNCT
cana-5078	94	1	traditionally	traditionally	ADV
cana-5078	94	2	,	,	PUNCT
cana-5078	94	3	ri	ri	PROPN
cana-5078	94	4	predictions	prediction	NOUN
cana-5078	94	5	have	have	AUX
cana-5078	94	6	been	be	AUX
cana-5078	94	7	made	make	VERB
cana-5078	94	8	using	use	VERB
cana-5078	94	9	linear	linear	ADJ
cana-5078	94	10	discriminant	discriminant	ADJ
cana-5078	94	11	analysis	analysis	NOUN
cana-5078	94	12	(	(	PUNCT
cana-5078	94	13	lda	lda	PROPN
cana-5078	94	14	)	)	PUNCT
cana-5078	94	15	with	with	ADP
cana-5078	94	16	predictors	predictor	NOUN
cana-5078	94	17	optimized	optimize	VERB
cana-5078	94	18	for	for	ADP
cana-5078	94	19	ri	ri	PROPN
cana-5078	94	20	,	,	PUNCT
cana-5078	94	21	but	but	CCONJ
cana-5078	94	22	no	no	DET
cana-5078	94	23	study	study	NOUN
cana-5078	94	24	has	have	AUX
cana-5078	94	25	directly	directly	ADV
cana-5078	94	26	explored	explore	VERB
cana-5078	94	27	the	the	DET
cana-5078	94	28	use	use	NOUN
cana-5078	94	29	of	of	ADP
cana-5078	94	30	machine	machine	NOUN
cana-5078	94	31	learning	learning	NOUN
cana-5078	94	32	(	(	PUNCT
cana-5078	94	33	ai	ai	VERB
cana-5078	94	34	)	)	PUNCT
cana-5078	94	35	for	for	ADP
cana-5078	94	36	ri	ri	PROPN
cana-5078	94	37	forecasting	forecasting	NOUN
cana-5078	94	38	.	.	PUNCT
cana-5078	95	1	(	(	PUNCT
cana-5078	95	2	rahman	rahman	PROPN
cana-5078	95	3	et	et	PROPN
cana-5078	95	4	al	al	PROPN
cana-5078	95	5	.	.	PROPN
cana-5078	95	6	,	,	PUNCT
cana-5078	95	7	2024	2024	NUM
cana-5078	95	8	)	)	PUNCT
cana-5078	95	9	this	this	DET
cana-5078	95	10	study	study	NOUN
cana-5078	95	11	aims	aim	VERB
cana-5078	95	12	to	to	PART
cana-5078	95	13	evaluate	evaluate	VERB
cana-5078	95	14	ri	ri	NOUN
cana-5078	95	15	predictability	predictability	NOUN
cana-5078	95	16	using	use	VERB
cana-5078	95	17	proxy	proxy	NOUN
cana-5078	95	18	forecast	forecast	PROPN
cana-5078	95	19	model	model	NOUN
cana-5078	95	20	data	datum	NOUN
cana-5078	95	21	and	and	CCONJ
cana-5078	95	22	an	an	DET
cana-5078	95	23	ensemble	ensemble	NOUN
cana-5078	95	24	of	of	ADP
cana-5078	95	25	ai	ai	PROPN
cana-5078	95	26	methods	method	NOUN
cana-5078	95	27	to	to	PART
cana-5078	95	28	generate	generate	VERB
cana-5078	95	29	probabilistic	probabilistic	ADJ
cana-5078	95	30	ri	ri	PROPN
cana-5078	95	31	forecasts	forecast	NOUN
cana-5078	95	32	.	.	PUNCT
cana-5078	96	1	data	datum	NOUN
cana-5078	96	2	from	from	ADP
cana-5078	96	3	atlantic	atlantic	PROPN
cana-5078	96	4	ri	ri	PROPN
cana-5078	96	5	events	event	NOUN
cana-5078	96	6	between	between	ADP
cana-5078	96	7	1985	1985	NUM
cana-5078	96	8	and	and	CCONJ
cana-5078	96	9	2011	2011	NUM
cana-5078	96	10	focused	focus	VERB
cana-5078	96	11	on	on	ADP
cana-5078	96	12	valid	valid	ADJ
cana-5078	96	13	times	time	NOUN
cana-5078	96	14	over	over	ADP
cana-5078	96	15	water	water	NOUN
cana-5078	96	16	for	for	ADP
cana-5078	96	17	each	each	DET
cana-5078	96	18	tc	tc	NOUN
cana-5078	96	19	.	.	PUNCT
cana-5078	97	1	these	these	DET
cana-5078	97	2	cases	case	NOUN
cana-5078	97	3	trained	train	VERB
cana-5078	97	4	an	an	DET
cana-5078	97	5	ai	ai	NOUN
cana-5078	97	6	ensemble	ensemble	ADJ
cana-5078	97	7	optimized	optimize	VERB
cana-5078	97	8	through	through	ADP
cana-5078	97	9	three	three	NUM
cana-5078	97	10	steps	step	NOUN
cana-5078	97	11	for	for	ADP
cana-5078	97	12	ri	ri	NOUN
cana-5078	97	13	prediction	prediction	NOUN
cana-5078	97	14	.	.	PUNCT
cana-5078	98	1	(	(	PUNCT
cana-5078	98	2	gile	gile	PROPN
cana-5078	98	3	et	et	PROPN
cana-5078	98	4	al	al	PROPN
cana-5078	98	5	.	.	PROPN
cana-5078	98	6	,	,	PUNCT
cana-5078	98	7	2021	2021	NUM
cana-5078	98	8	)	)	PUNCT
cana-5078	98	9	first	first	ADV
cana-5078	98	10	,	,	PUNCT
cana-5078	98	11	backward	backward	ADJ
cana-5078	98	12	elimination	elimination	NOUN
cana-5078	98	13	feature	feature	NOUN
cana-5078	98	14	selection	selection	NOUN
cana-5078	98	15	was	be	AUX
cana-5078	98	16	applied	apply	VERB
cana-5078	98	17	to	to	ADP
cana-5078	98	18	a	a	DET
cana-5078	98	19	mix	mix	NOUN
cana-5078	98	20	of	of	ADP
cana-5078	98	21	proxy	proxy	NOUN
cana-5078	98	22	forecast	forecast	NOUN
cana-5078	98	23	data	datum	NOUN
cana-5078	98	24	,	,	PUNCT
cana-5078	98	25	and	and	CCONJ
cana-5078	98	26	lda	lda	VERB
cana-5078	98	27	model	model	NOUN
cana-5078	98	28	predictors	predictor	NOUN
cana-5078	98	29	,	,	PUNCT
cana-5078	98	30	and	and	CCONJ
cana-5078	98	31	observed	observe	VERB
cana-5078	98	32	tc	tc	NUM
cana-5078	98	33	track	track	NOUN
cana-5078	98	34	information	information	NOUN
cana-5078	98	35	(	(	PUNCT
cana-5078	98	36	including	include	VERB
cana-5078	98	37	intensity	intensity	NOUN
cana-5078	98	38	and	and	CCONJ
cana-5078	98	39	position	position	NOUN
cana-5078	98	40	)	)	PUNCT
cana-5078	98	41	to	to	PART
cana-5078	98	42	refine	refine	VERB
cana-5078	98	43	the	the	DET
cana-5078	98	44	predictor	predictor	NOUN
cana-5078	98	45	set	set	VERB
cana-5078	98	46	.	.	PUNCT
cana-5078	99	1	second	second	ADJ
cana-5078	99	2	,	,	PUNCT
cana-5078	99	3	multiple	multiple	ADJ
cana-5078	99	4	configurations	configuration	NOUN
cana-5078	99	5	of	of	ADP
cana-5078	99	6	three	three	NUM
cana-5078	99	7	ai	ai	NOUN
cana-5078	99	8	techniques	technique	NOUN
cana-5078	99	9	—	—	PUNCT
cana-5078	99	10	support	support	NOUN
cana-5078	99	11	vector	vector	NOUN
cana-5078	99	12	machines	machine	NOUN
cana-5078	99	13	(	(	PUNCT
cana-5078	99	14	svms	svms	NOUN
cana-5078	99	15	)	)	PUNCT
cana-5078	99	16	,	,	PUNCT
cana-5078	99	17	artificial	artificial	ADJ
cana-5078	99	18	neural	neural	ADJ
cana-5078	99	19	networks	network	NOUN
cana-5078	99	20	(	(	PUNCT
cana-5078	99	21	anns	anns	NOUN
cana-5078	99	22	)	)	PUNCT
cana-5078	99	23	,	,	PUNCT
cana-5078	99	24	and	and	CCONJ
cana-5078	99	25	random	random	ADJ
cana-5078	99	26	forests	forest	NOUN
cana-5078	99	27	(	(	PUNCT
cana-5078	99	28	rfs)—were	rfs)—were	ADV
cana-5078	99	29	tested	test	VERB
cana-5078	99	30	using	use	VERB
cana-5078	99	31	bootstrap	bootstrap	NOUN
cana-5078	99	32	-	-	PUNCT
cana-5078	99	33	based	base	VERB
cana-5078	99	34	crossvalidation	crossvalidation	NOUN
cana-5078	99	35	to	to	PART
cana-5078	99	36	identify	identify	VERB
cana-5078	99	37	the	the	DET
cana-5078	99	38	best	good	ADJ
cana-5078	99	39	settings	setting	NOUN
cana-5078	99	40	for	for	ADP
cana-5078	99	41	each	each	DET
cana-5078	99	42	method	method	NOUN
cana-5078	99	43	.	.	PUNCT
cana-5078	100	1	finally	finally	ADV
cana-5078	100	2	,	,	PUNCT
cana-5078	100	3	the	the	DET
cana-5078	100	4	top	top	ADV
cana-5078	100	5	-	-	PUNCT
cana-5078	100	6	performing	perform	VERB
cana-5078	100	7	ai	ai	NOUN
cana-5078	100	8	configurations	configuration	NOUN
cana-5078	100	9	were	be	AUX
cana-5078	100	10	used	use	VERB
cana-5078	100	11	to	to	PART
cana-5078	100	12	generate	generate	VERB
cana-5078	100	13	probabilistic	probabilistic	ADJ
cana-5078	100	14	ri	ri	PROPN
cana-5078	100	15	forecasts	forecast	NOUN
cana-5078	100	16	,	,	PUNCT
cana-5078	100	17	weighted	weight	VERB
cana-5078	100	18	by	by	ADP
cana-5078	100	19	each	each	DET
cana-5078	100	20	ensemble	ensemble	ADJ
cana-5078	100	21	member	member	NOUN
cana-5078	100	22	’s	’s	PART
cana-5078	100	23	crossvalidation	crossvalidation	NOUN
cana-5078	100	24	performance	performance	NOUN
cana-5078	100	25	.	.	PUNCT
cana-5078	101	1	the	the	DET
cana-5078	101	2	resulting	result	VERB
cana-5078	101	3	probabilistic	probabilistic	ADJ
cana-5078	101	4	forecasts	forecast	NOUN
cana-5078	101	5	were	be	AUX
cana-5078	101	6	comparable	comparable	ADJ
cana-5078	101	7	to	to	ADP
cana-5078	101	8	those	those	PRON
cana-5078	101	9	from	from	ADP
cana-5078	101	10	the	the	DET
cana-5078	101	11	lda	lda	PROPN
cana-5078	101	12	model	model	NOUN
cana-5078	101	13	,	,	PUNCT
cana-5078	101	14	but	but	CCONJ
cana-5078	101	15	the	the	DET
cana-5078	101	16	ensemble	ensemble	ADJ
cana-5078	101	17	’s	’s	PART
cana-5078	101	18	best	good	ADJ
cana-5078	101	19	skill	skill	NOUN
cana-5078	101	20	surpassed	surpass	VERB
cana-5078	101	21	the	the	DET
cana-5078	101	22	current	current	ADJ
cana-5078	101	23	lda	lda	PROPN
cana-5078	101	24	method	method	NOUN
cana-5078	101	25	by	by	ADP
cana-5078	101	26	over	over	ADP
cana-5078	101	27	30	30	NUM
cana-5078	101	28	%	%	NOUN
cana-5078	101	29	improvement	improvement	NOUN
cana-5078	101	30	compared	compare	VERB
cana-5078	101	31	to	to	ADP
cana-5078	101	32	climatology	climatology	NOUN
cana-5078	101	33	.	.	PUNCT
cana-5078	102	1	(	(	PUNCT
cana-5078	102	2	matsuoka	matsuoka	VERB
cana-5078	102	3	et	et	PROPN
cana-5078	102	4	al	al	PROPN
cana-5078	102	5	.	.	PROPN
cana-5078	102	6	,	,	PUNCT
cana-5078	102	7	2023	2023	NUM
cana-5078	102	8	)	)	PUNCT
cana-5078	102	9	forecasting	forecast	VERB
cana-5078	102	10	rapid	rapid	ADJ
cana-5078	102	11	intensification	intensification	NOUN
cana-5078	102	12	(	(	PUNCT
cana-5078	102	13	ri	ri	NOUN
cana-5078	102	14	)	)	PUNCT
cana-5078	102	15	of	of	ADP
cana-5078	102	16	atlantic	atlantic	ADJ
cana-5078	102	17	tropical	tropical	ADJ
cana-5078	102	18	cyclones	cyclone	NOUN
cana-5078	102	19	(	(	PUNCT
cana-5078	102	20	tcs	tcs	NOUN
cana-5078	102	21	)	)	PUNCT
cana-5078	102	22	remains	remain	VERB
cana-5078	102	23	a	a	DET
cana-5078	102	24	significant	significant	ADJ
cana-5078	102	25	challenge	challenge	NOUN
cana-5078	102	26	,	,	PUNCT
cana-5078	102	27	with	with	ADP
cana-5078	102	28	current	current	ADJ
cana-5078	102	29	forecast	forecast	NOUN
cana-5078	102	30	skill	skill	NOUN
cana-5078	102	31	only	only	ADV
cana-5078	102	32	achieving	achieve	VERB
cana-5078	102	33	approximately	approximately	ADV
cana-5078	102	34	15	15	NUM
cana-5078	102	35	%	%	NOUN
cana-5078	102	36	improvement	improvement	NOUN
cana-5078	102	37	over	over	ADP
cana-5078	102	38	climatological	climatological	ADJ
cana-5078	102	39	baselines	baseline	NOUN
cana-5078	102	40	.	.	PUNCT
cana-5078	103	1	historically	historically	ADV
cana-5078	103	2	,	,	PUNCT
cana-5078	103	3	ri	ri	PROPN
cana-5078	103	4	forecasts	forecast	NOUN
cana-5078	103	5	have	have	AUX
cana-5078	103	6	relied	rely	VERB
cana-5078	103	7	on	on	ADP
cana-5078	103	8	linear	linear	ADJ
cana-5078	103	9	discriminant	discriminant	ADJ
cana-5078	103	10	analysis	analysis	NOUN
cana-5078	103	11	(	(	PUNCT
cana-5078	103	12	lda	lda	PROPN
cana-5078	103	13	)	)	PUNCT
cana-5078	103	14	with	with	ADP
cana-5078	103	15	predictors	predictor	NOUN
cana-5078	103	16	specifically	specifically	ADV
cana-5078	103	17	tailored	tailor	VERB
cana-5078	103	18	for	for	ADP
cana-5078	103	19	this	this	DET
cana-5078	103	20	purpose	purpose	NOUN
cana-5078	103	21	,	,	PUNCT
cana-5078	103	22	but	but	CCONJ
cana-5078	103	23	the	the	DET
cana-5078	103	24	potential	potential	NOUN
cana-5078	103	25	of	of	ADP
cana-5078	103	26	machine	machine	NOUN
cana-5078	103	27	learning	learning	NOUN
cana-5078	103	28	(	(	PUNCT
cana-5078	103	29	hereafter	hereafter	ADV
cana-5078	103	30	ai	ai	VERB
cana-5078	103	31	)	)	PUNCT
cana-5078	103	32	for	for	ADP
cana-5078	103	33	ri	ri	NOUN
cana-5078	103	34	forecasting	forecasting	NOUN
cana-5078	103	35	has	have	AUX
cana-5078	103	36	not	not	PART
cana-5078	103	37	been	be	AUX
cana-5078	103	38	directly	directly	ADV
cana-5078	103	39	explored	explore	VERB
cana-5078	103	40	.	.	PUNCT
cana-5078	104	1	this	this	DET
cana-5078	104	2	study	study	NOUN
cana-5078	104	3	aims	aim	VERB
cana-5078	104	4	to	to	PART
cana-5078	104	5	evaluate	evaluate	VERB
cana-5078	104	6	the	the	DET
cana-5078	104	7	predictability	predictability	NOUN
cana-5078	104	8	of	of	ADP
cana-5078	104	9	ri	ri	NOUN
cana-5078	104	10	using	use	VERB
cana-5078	104	11	proxy	proxy	NOUN
cana-5078	104	12	forecast	forecast	PROPN
cana-5078	104	13	model	model	NOUN
cana-5078	104	14	data	datum	NOUN
cana-5078	104	15	and	and	CCONJ
cana-5078	104	16	an	an	DET
cana-5078	104	17	ensemble	ensemble	NOUN
cana-5078	104	18	of	of	ADP
cana-5078	104	19	ai	ai	PRON
cana-5078	104	20	methodologies	methodology	NOUN
cana-5078	104	21	to	to	PART
cana-5078	104	22	produce	produce	VERB
cana-5078	104	23	probabilistic	probabilistic	ADJ
cana-5078	104	24	ri	ri	PROPN
cana-5078	104	25	forecasts	forecast	NOUN
cana-5078	104	26	.	.	PUNCT
cana-5078	105	1	atlantic	atlantic	PROPN
cana-5078	105	2	ri	ri	PROPN
cana-5078	105	3	events	event	NOUN
cana-5078	105	4	from	from	ADP
cana-5078	105	5	1985	1985	NUM
cana-5078	105	6	to	to	ADP
cana-5078	105	7	2011	2011	NUM
cana-5078	105	8	,	,	PUNCT
cana-5078	105	9	occurring	occur	VERB
cana-5078	105	10	over	over	ADP
cana-5078	105	11	water	water	NOUN
cana-5078	105	12	,	,	PUNCT
cana-5078	105	13	were	be	AUX
cana-5078	105	14	selected	select	VERB
cana-5078	105	15	to	to	PART
cana-5078	105	16	train	train	VERB
cana-5078	105	17	an	an	DET
cana-5078	105	18	ai	ai	NOUN
cana-5078	105	19	ensemble	ensemble	ADJ
cana-5078	105	20	optimized	optimize	VERB
cana-5078	105	21	for	for	ADP
cana-5078	105	22	ri	ri	NOUN
cana-5078	105	23	prediction	prediction	NOUN
cana-5078	105	24	through	through	ADP
cana-5078	105	25	a	a	DET
cana-5078	105	26	three	three	NUM
cana-5078	105	27	-	-	PUNCT
cana-5078	105	28	step	step	NOUN
cana-5078	105	29	process	process	NOUN
cana-5078	105	30	.	.	PUNCT
cana-5078	106	1	first	first	ADV
cana-5078	106	2	,	,	PUNCT
cana-5078	106	3	backwards	backwards	ADV
cana-5078	106	4	elimination	elimination	NOUN
cana-5078	106	5	was	be	AUX
cana-5078	106	6	employed	employ	VERB
cana-5078	106	7	to	to	PART
cana-5078	106	8	refine	refine	VERB
cana-5078	106	9	the	the	DET
cana-5078	106	10	predictor	predictor	NOUN
cana-5078	106	11	set	set	NOUN
cana-5078	106	12	,	,	PUNCT
cana-5078	106	13	integrating	integrate	VERB
cana-5078	106	14	proxy	proxy	NOUN
cana-5078	106	15	forecast	forecast	NOUN
cana-5078	106	16	data	datum	NOUN
cana-5078	106	17	,	,	PUNCT
cana-5078	106	18	predictors	predictor	NOUN
cana-5078	106	19	from	from	ADP
cana-5078	106	20	the	the	DET
cana-5078	106	21	existing	exist	VERB
cana-5078	106	22	lda	lda	PROPN
cana-5078	106	23	framework	framework	NOUN
cana-5078	106	24	,	,	PUNCT
cana-5078	106	25	and	and	CCONJ
cana-5078	106	26	observed	observe	VERB
cana-5078	106	27	tc	tc	NUM
cana-5078	106	28	track	track	NOUN
cana-5078	106	29	information	information	NOUN
cana-5078	106	30	(	(	PUNCT
cana-5078	106	31	e.g.	e.g.	ADV
cana-5078	106	32	,	,	PUNCT
cana-5078	106	33	intensity	intensity	NOUN
cana-5078	106	34	and	and	CCONJ
cana-5078	106	35	position	position	NOUN
cana-5078	106	36	)	)	PUNCT
cana-5078	106	37	.	.	PUNCT
cana-5078	107	1	second	second	ADJ
cana-5078	107	2	,	,	PUNCT
cana-5078	107	3	various	various	ADJ
cana-5078	107	4	configurations	configuration	NOUN
cana-5078	107	5	of	of	ADP
cana-5078	107	6	three	three	NUM
cana-5078	107	7	ai	ai	NOUN
cana-5078	107	8	techniques	technique	NOUN
cana-5078	107	9	—	—	PUNCT
cana-5078	107	10	support	support	NOUN
cana-5078	107	11	vector	vector	NOUN
cana-5078	107	12	machines	machine	NOUN
cana-5078	107	13	(	(	PUNCT
cana-5078	107	14	svms	svms	NOUN
cana-5078	107	15	)	)	PUNCT
cana-5078	107	16	,	,	PUNCT
cana-5078	107	17	artificial	artificial	ADJ
cana-5078	107	18	neural	neural	ADJ
cana-5078	107	19	networks	network	NOUN
cana-5078	107	20	(	(	PUNCT
cana-5078	107	21	anns	anns	NOUN
cana-5078	107	22	)	)	PUNCT
cana-5078	107	23	,	,	PUNCT
cana-5078	107	24	and	and	CCONJ
cana-5078	107	25	random	random	ADJ
cana-5078	107	26	forests	forest	NOUN
cana-5078	107	27	(	(	PUNCT
cana-5078	107	28	rfs)—were	rfs)—were	ADV
cana-5078	107	29	rigorously	rigorously	ADV
cana-5078	107	30	evaluated	evaluate	VERB
cana-5078	107	31	using	use	VERB
cana-5078	107	32	bootstrap	bootstrap	NOUN
cana-5078	107	33	-	-	PUNCT
cana-5078	107	34	based	base	VERB
cana-5078	107	35	cross	cross	NOUN
cana-5078	107	36	-	-	NOUN
cana-5078	107	37	validation	validation	NOUN
cana-5078	107	38	to	to	PART
cana-5078	107	39	identify	identify	VERB
cana-5078	107	40	optimal	optimal	ADJ
cana-5078	107	41	configurations	configuration	NOUN
cana-5078	107	42	for	for	ADP
cana-5078	107	43	each	each	DET
cana-5078	107	44	method	method	NOUN
cana-5078	107	45	.	.	PUNCT
cana-5078	108	1	third	third	ADJ
cana-5078	108	2	,	,	PUNCT
cana-5078	108	3	the	the	DET
cana-5078	108	4	most	most	ADV
cana-5078	108	5	effective	effective	ADJ
cana-5078	108	6	configurations	configuration	NOUN
cana-5078	108	7	were	be	AUX
cana-5078	108	8	combined	combine	VERB
cana-5078	108	9	into	into	ADP
cana-5078	108	10	an	an	DET
cana-5078	108	11	ensemble	ensemble	ADJ
cana-5078	108	12	that	that	PRON
cana-5078	108	13	produced	produce	VERB
cana-5078	108	14	probabilistic	probabilistic	ADJ
cana-5078	108	15	ri	ri	PROPN
cana-5078	108	16	forecasts	forecast	NOUN
cana-5078	108	17	,	,	PUNCT
cana-5078	108	18	with	with	ADP
cana-5078	108	19	individual	individual	ADJ
cana-5078	108	20	ensemble	ensemble	ADJ
cana-5078	108	21	member	member	NOUN
cana-5078	108	22	contributions	contribution	NOUN
cana-5078	108	23	weighted	weight	VERB
cana-5078	108	24	according	accord	VERB
cana-5078	108	25	to	to	ADP
cana-5078	108	26	their	their	PRON
cana-5078	108	27	cross	cross	ADJ
cana-5078	108	28	-	-	ADJ
cana-5078	108	29	validation	validation	ADJ
cana-5078	108	30	performance	performance	NOUN
cana-5078	108	31	.	.	PUNCT
cana-5078	109	1	the	the	DET
cana-5078	109	2	resulting	result	VERB
cana-5078	109	3	ensemble	ensemble	ADJ
cana-5078	109	4	forecasts	forecast	NOUN
cana-5078	109	5	exhibited	exhibit	VERB
cana-5078	109	6	skill	skill	NOUN
cana-5078	109	7	comparable	comparable	ADJ
cana-5078	109	8	to	to	ADP
cana-5078	109	9	the	the	DET
cana-5078	109	10	current	current	ADJ
cana-5078	109	11	lda	lda	PROPN
cana-5078	109	12	approach	approach	NOUN
cana-5078	109	13	,	,	PUNCT
cana-5078	109	14	with	with	ADP
cana-5078	109	15	the	the	DET
cana-5078	109	16	upper	upper	ADJ
cana-5078	109	17	-	-	PUNCT
cana-5078	109	18	performance	performance	NOUN
cana-5078	109	19	threshold	threshold	NOUN
cana-5078	109	20	achieving	achieve	VERB
cana-5078	109	21	over	over	ADP
cana-5078	109	22	30	30	NUM
cana-5078	109	23	%	%	NOUN
cana-5078	109	24	improvement	improvement	NOUN
cana-5078	109	25	relative	relative	ADJ
cana-5078	109	26	to	to	ADP
cana-5078	109	27	climatology	climatology	NOUN
cana-5078	109	28	.	.	PUNCT
cana-5078	110	1	this	this	DET
cana-5078	110	2	performance	performance	NOUN
cana-5078	110	3	significantly	significantly	ADV
cana-5078	110	4	surpasses	surpass	VERB
cana-5078	110	5	the	the	DET
cana-5078	110	6	capabilities	capability	NOUN
cana-5078	110	7	of	of	ADP
cana-5078	110	8	the	the	DET
cana-5078	110	9	existing	exist	VERB
cana-5078	110	10	lda	lda	PROPN
cana-5078	110	11	framework	framework	NOUN
cana-5078	110	12	,	,	PUNCT
cana-5078	110	13	highlighting	highlight	VERB
cana-5078	110	14	the	the	DET
cana-5078	110	15	potential	potential	NOUN
cana-5078	110	16	of	of	ADP
cana-5078	110	17	ai	ai	ADJ
cana-5078	110	18	methods	method	NOUN
cana-5078	110	19	for	for	ADP
cana-5078	110	20	advancing	advance	VERB
cana-5078	110	21	ri	ri	PROPN
cana-5078	110	22	forecasting	forecasting	NOUN
cana-5078	110	23	.	.	PUNCT
cana-5078	111	1	communications	communication	NOUN
cana-5078	111	2	on	on	ADP
cana-5078	111	3	applied	apply	VERB
cana-5078	111	4	nonlinear	nonlinear	ADJ
cana-5078	111	5	analysis	analysis	NOUN
cana-5078	111	6	issn	issn	NOUN
cana-5078	111	7	:	:	PUNCT
cana-5078	111	8	1074	1074	NUM
cana-5078	111	9	-	-	PUNCT
cana-5078	111	10	133x	133x	NUM
cana-5078	111	11	vol	vol	NOUN
cana-5078	111	12	32	32	NUM
cana-5078	111	13	no	no	NOUN
cana-5078	111	14	.	.	PUNCT
cana-5078	112	1	icmasd	icmasd	NOUN
cana-5078	112	2	(	(	PUNCT
cana-5078	112	3	2025	2025	NUM
cana-5078	112	4	)	)	PUNCT
cana-5078	112	5	515	515	NUM
cana-5078	112	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5078	112	7	(	(	PUNCT
cana-5078	112	8	chen	chen	PROPN
cana-5078	112	9	et	et	PROPN
cana-5078	112	10	al	al	PROPN
cana-5078	112	11	.	.	PROPN
cana-5078	112	12	,	,	PUNCT
cana-5078	112	13	2023	2023	NUM
cana-5078	112	14	)	)	PUNCT
cana-5078	112	15	the	the	DET
cana-5078	112	16	onset	onset	NOUN
cana-5078	112	17	of	of	ADP
cana-5078	112	18	the	the	DET
cana-5078	112	19	south	south	PROPN
cana-5078	112	20	china	china	PROPN
cana-5078	112	21	sea	sea	PROPN
cana-5078	112	22	summer	summer	NOUN
cana-5078	112	23	monsoon	monsoon	NOUN
cana-5078	112	24	(	(	PUNCT
cana-5078	112	25	scssm	scssm	ADJ
cana-5078	112	26	)	)	PUNCT
cana-5078	112	27	is	be	AUX
cana-5078	112	28	marked	mark	VERB
cana-5078	112	29	by	by	ADP
cana-5078	112	30	a	a	DET
cana-5078	112	31	distinct	distinct	ADJ
cana-5078	112	32	seasonal	seasonal	ADJ
cana-5078	112	33	shift	shift	NOUN
cana-5078	112	34	in	in	ADP
cana-5078	112	35	atmospheric	atmospheric	ADJ
cana-5078	112	36	circulation	circulation	NOUN
cana-5078	112	37	and	and	CCONJ
cana-5078	112	38	convection	convection	NOUN
cana-5078	112	39	patterns	pattern	NOUN
cana-5078	112	40	.	.	PUNCT
cana-5078	113	1	various	various	ADJ
cana-5078	113	2	indices	index	NOUN
cana-5078	113	3	have	have	AUX
cana-5078	113	4	been	be	AUX
cana-5078	113	5	proposed	propose	VERB
cana-5078	113	6	to	to	PART
cana-5078	113	7	determine	determine	VERB
cana-5078	113	8	the	the	DET
cana-5078	113	9	scssm	scssm	ADJ
cana-5078	113	10	onset	onset	NOUN
cana-5078	113	11	date	date	NOUN
cana-5078	113	12	,	,	PUNCT
cana-5078	113	13	but	but	CCONJ
cana-5078	113	14	their	their	PRON
cana-5078	113	15	results	result	NOUN
cana-5078	113	16	often	often	ADV
cana-5078	113	17	vary	vary	VERB
cana-5078	113	18	significantly	significantly	ADV
cana-5078	113	19	.	.	PUNCT
cana-5078	114	1	this	this	DET
cana-5078	114	2	inconsistency	inconsistency	NOUN
cana-5078	114	3	complicates	complicate	VERB
cana-5078	114	4	the	the	DET
cana-5078	114	5	identification	identification	NOUN
cana-5078	114	6	of	of	ADP
cana-5078	114	7	onset	onset	NOUN
cana-5078	114	8	dates	date	NOUN
cana-5078	114	9	and	and	CCONJ
cana-5078	114	10	hinders	hinder	VERB
cana-5078	114	11	the	the	DET
cana-5078	114	12	evaluation	evaluation	NOUN
cana-5078	114	13	of	of	ADP
cana-5078	114	14	prediction	prediction	NOUN
cana-5078	114	15	skill	skill	NOUN
cana-5078	114	16	.	.	PUNCT
cana-5078	115	1	in	in	ADP
cana-5078	115	2	2021	2021	NUM
cana-5078	115	3	,	,	PUNCT
cana-5078	115	4	for	for	ADP
cana-5078	115	5	example	example	NOUN
cana-5078	115	6	,	,	PUNCT
cana-5078	115	7	the	the	DET
cana-5078	115	8	onset	onset	NOUN
cana-5078	115	9	date	date	NOUN
cana-5078	115	10	identified	identify	VERB
cana-5078	115	11	based	base	VERB
cana-5078	115	12	on	on	ADP
cana-5078	115	13	circulation	circulation	NOUN
cana-5078	115	14	criteria	criterion	NOUN
cana-5078	115	15	was	be	AUX
cana-5078	115	16	20	20	NUM
cana-5078	115	17	may	may	NOUN
cana-5078	115	18	,	,	PUNCT
cana-5078	115	19	which	which	PRON
cana-5078	115	20	was	be	AUX
cana-5078	115	21	12	12	NUM
cana-5078	115	22	days	day	NOUN
cana-5078	115	23	earlier	early	ADV
cana-5078	115	24	than	than	ADP
cana-5078	115	25	the	the	DET
cana-5078	115	26	date	date	NOUN
cana-5078	115	27	derived	derive	VERB
cana-5078	115	28	by	by	ADP
cana-5078	115	29	incorporating	incorporate	VERB
cana-5078	115	30	convection	convection	NOUN
cana-5078	115	31	criteria	criterion	NOUN
cana-5078	115	32	.	.	PUNCT
cana-5078	116	1	this	this	DET
cana-5078	116	2	study	study	NOUN
cana-5078	116	3	attributes	attribute	VERB
cana-5078	116	4	the	the	DET
cana-5078	116	5	observed	observed	ADJ
cana-5078	116	6	circulation	circulation	NOUN
cana-5078	116	7	-	-	PUNCT
cana-5078	116	8	convection	convection	NOUN
cana-5078	116	9	inconsistency	inconsistency	NOUN
cana-5078	116	10	primarily	primarily	ADV
cana-5078	116	11	to	to	ADP
cana-5078	116	12	the	the	DET
cana-5078	116	13	influence	influence	NOUN
cana-5078	116	14	of	of	ADP
cana-5078	116	15	tropical	tropical	ADJ
cana-5078	116	16	cyclone	cyclone	NOUN
cana-5078	116	17	(	(	PUNCT
cana-5078	116	18	tc	tc	NOUN
cana-5078	116	19	)	)	PUNCT
cana-5078	116	20	activity	activity	NOUN
cana-5078	116	21	,	,	PUNCT
cana-5078	116	22	modulated	modulate	VERB
cana-5078	116	23	by	by	ADP
cana-5078	116	24	the	the	DET
cana-5078	116	25	madden	madden	PROPN
cana-5078	116	26	-	-	PUNCT
cana-5078	116	27	julian	julian	PROPN
cana-5078	116	28	oscillation	oscillation	PROPN
cana-5078	116	29	(	(	PUNCT
cana-5078	116	30	mjo	mjo	PROPN
cana-5078	116	31	)	)	PUNCT
cana-5078	116	32	.	.	PUNCT
cana-5078	117	1	the	the	DET
cana-5078	117	2	convection	convection	NOUN
cana-5078	117	3	associated	associate	VERB
cana-5078	117	4	with	with	ADP
cana-5078	117	5	tc	tc	NUM
cana-5078	117	6	“	"	PUNCT
cana-5078	117	7	yaas	yaas	NOUN
cana-5078	117	8	”	"	PUNCT
cana-5078	117	9	(	(	PUNCT
cana-5078	117	10	2021	2021	NUM
cana-5078	117	11	)	)	PUNCT
cana-5078	117	12	served	serve	VERB
cana-5078	117	13	as	as	ADP
cana-5078	117	14	a	a	DET
cana-5078	117	15	diabatic	diabatic	ADJ
cana-5078	117	16	heat	heat	NOUN
cana-5078	117	17	source	source	NOUN
cana-5078	117	18	at	at	ADP
cana-5078	117	19	upper	upper	ADJ
cana-5078	117	20	levels	level	NOUN
cana-5078	117	21	north	north	ADV
cana-5078	117	22	of	of	ADP
cana-5078	117	23	the	the	DET
cana-5078	117	24	south	south	PROPN
cana-5078	117	25	china	china	PROPN
cana-5078	117	26	sea	sea	PROPN
cana-5078	117	27	(	(	PUNCT
cana-5078	117	28	scs	scs	PROPN
cana-5078	117	29	)	)	PUNCT
cana-5078	117	30	,	,	PUNCT
cana-5078	117	31	driving	drive	VERB
cana-5078	117	32	the	the	DET
cana-5078	117	33	transition	transition	NOUN
cana-5078	117	34	in	in	ADP
cana-5078	117	35	circulation	circulation	NOUN
cana-5078	117	36	.	.	PUNCT
cana-5078	118	1	subsequently	subsequently	ADV
cana-5078	118	2	,	,	PUNCT
cana-5078	118	3	tc	tc	PRON
cana-5078	118	4	“	"	PUNCT
cana-5078	118	5	cho	cho	PROPN
cana-5078	118	6	-	-	PUNCT
cana-5078	118	7	wan	wan	PROPN
cana-5078	118	8	”	"	PUNCT
cana-5078	118	9	(	(	PUNCT
cana-5078	118	10	2021	2021	NUM
cana-5078	118	11	)	)	PUNCT
cana-5078	118	12	in	in	ADP
cana-5078	118	13	the	the	DET
cana-5078	118	14	western	western	ADJ
cana-5078	118	15	pacific	pacific	PROPN
cana-5078	118	16	reinforced	reinforce	VERB
cana-5078	118	17	lower	low	ADJ
cana-5078	118	18	-	-	PUNCT
cana-5078	118	19	level	level	NOUN
cana-5078	118	20	westerlies	westerly	NOUN
cana-5078	118	21	while	while	SCONJ
cana-5078	118	22	suppressing	suppress	VERB
cana-5078	118	23	moist	moist	ADJ
cana-5078	118	24	convection	convection	NOUN
cana-5078	118	25	over	over	ADP
cana-5078	118	26	the	the	DET
cana-5078	118	27	scs	scs	PROPN
cana-5078	118	28	.	.	PROPN
cana-5078	118	29	accurate	accurate	ADJ
cana-5078	118	30	predictions	prediction	NOUN
cana-5078	118	31	using	use	VERB
cana-5078	118	32	the	the	DET
cana-5078	118	33	ecmwf	ecmwf	PROPN
cana-5078	118	34	s2s	s2s	PROPN
cana-5078	118	35	forecast	forecast	NOUN
cana-5078	118	36	system	system	NOUN
cana-5078	118	37	were	be	AUX
cana-5078	118	38	achieved	achieve	VERB
cana-5078	118	39	only	only	ADV
cana-5078	118	40	after	after	ADP
cana-5078	118	41	the	the	DET
cana-5078	118	42	formation	formation	NOUN
cana-5078	118	43	of	of	ADP
cana-5078	118	44	the	the	DET
cana-5078	118	45	mjo	mjo	PROPN
cana-5078	118	46	.	.	PUNCT
cana-5078	119	1	skillful	skillful	ADJ
cana-5078	119	2	mjo	mjo	NOUN
cana-5078	119	3	predictions	prediction	NOUN
cana-5078	119	4	during	during	ADP
cana-5078	119	5	late	late	ADJ
cana-5078	119	6	spring	spring	NOUN
cana-5078	119	7	could	could	AUX
cana-5078	119	8	thus	thus	ADV
cana-5078	119	9	enable	enable	VERB
cana-5078	119	10	reliable	reliable	ADJ
cana-5078	119	11	forecasts	forecast	NOUN
cana-5078	119	12	of	of	ADP
cana-5078	119	13	scssm	scssm	ADJ
cana-5078	119	14	establishment	establishment	NOUN
cana-5078	119	15	several	several	ADJ
cana-5078	119	16	weeks	week	NOUN
cana-5078	119	17	in	in	ADP
cana-5078	119	18	advance	advance	NOUN
cana-5078	119	19	.	.	PUNCT
cana-5078	120	1	5	5	X
cana-5078	120	2	.	.	X
cana-5078	120	3	approaches	approach	NOUN
cana-5078	120	4	used	use	VERB
cana-5078	120	5	in	in	ADP
cana-5078	120	6	predicting	predict	VERB
cana-5078	120	7	hurricane	hurricane	NOUN
cana-5078	120	8	5.1	5.1	NUM
cana-5078	120	9	.	.	PUNCT
cana-5078	121	1	machine	machine	NOUN
cana-5078	121	2	learning	learn	VERB
cana-5078	121	3	techniques	technique	NOUN
cana-5078	121	4	neural	neural	ADJ
cana-5078	121	5	networks	network	NOUN
cana-5078	121	6	have	have	AUX
cana-5078	121	7	emerged	emerge	VERB
cana-5078	121	8	as	as	ADP
cana-5078	121	9	a	a	DET
cana-5078	121	10	powerful	powerful	ADJ
cana-5078	121	11	tool	tool	NOUN
cana-5078	121	12	for	for	ADP
cana-5078	121	13	hurricane	hurricane	NOUN
cana-5078	121	14	prediction	prediction	NOUN
cana-5078	121	15	,	,	PUNCT
cana-5078	121	16	offering	offer	VERB
cana-5078	121	17	new	new	ADJ
cana-5078	121	18	capabilities	capability	NOUN
cana-5078	121	19	in	in	ADP
cana-5078	121	20	forecasting	forecast	VERB
cana-5078	121	21	these	these	DET
cana-5078	121	22	complex	complex	ADJ
cana-5078	121	23	atmospheric	atmospheric	ADJ
cana-5078	121	24	phenomena	phenomenon	NOUN
cana-5078	121	25	.	.	PUNCT
cana-5078	122	1	these	these	DET
cana-5078	122	2	artificial	artificial	ADJ
cana-5078	122	3	intelligence	intelligence	NOUN
cana-5078	122	4	systems	system	NOUN
cana-5078	122	5	can	can	AUX
cana-5078	122	6	process	process	VERB
cana-5078	122	7	vast	vast	ADJ
cana-5078	122	8	amounts	amount	NOUN
cana-5078	122	9	of	of	ADP
cana-5078	122	10	meteorological	meteorological	ADJ
cana-5078	122	11	data	datum	NOUN
cana-5078	122	12	,	,	PUNCT
cana-5078	122	13	including	include	VERB
cana-5078	122	14	sea	sea	NOUN
cana-5078	122	15	surface	surface	NOUN
cana-5078	122	16	temperatures	temperature	NOUN
cana-5078	122	17	,	,	PUNCT
cana-5078	122	18	wind	wind	NOUN
cana-5078	122	19	patterns	pattern	NOUN
cana-5078	122	20	,	,	PUNCT
cana-5078	122	21	atmospheric	atmospheric	ADJ
cana-5078	122	22	pressure	pressure	NOUN
cana-5078	122	23	,	,	PUNCT
cana-5078	122	24	and	and	CCONJ
cana-5078	122	25	historical	historical	ADJ
cana-5078	122	26	storm	storm	NOUN
cana-5078	122	27	tracks	track	NOUN
cana-5078	122	28	,	,	PUNCT
cana-5078	122	29	to	to	PART
cana-5078	122	30	identify	identify	VERB
cana-5078	122	31	patterns	pattern	NOUN
cana-5078	122	32	and	and	CCONJ
cana-5078	122	33	relationships	relationship	NOUN
cana-5078	122	34	that	that	PRON
cana-5078	122	35	might	might	AUX
cana-5078	122	36	not	not	PART
cana-5078	122	37	be	be	AUX
cana-5078	122	38	apparent	apparent	ADJ
cana-5078	122	39	through	through	ADP
cana-5078	122	40	traditional	traditional	ADJ
cana-5078	122	41	forecasting	forecasting	NOUN
cana-5078	122	42	methods	method	NOUN
cana-5078	122	43	.	.	PUNCT
cana-5078	123	1	by	by	ADP
cana-5078	123	2	training	train	VERB
cana-5078	123	3	on	on	ADP
cana-5078	123	4	extensive	extensive	ADJ
cana-5078	123	5	historical	historical	ADJ
cana-5078	123	6	hurricane	hurricane	NOUN
cana-5078	123	7	data	datum	NOUN
cana-5078	123	8	,	,	PUNCT
cana-5078	123	9	neural	neural	ADJ
cana-5078	123	10	networks	network	NOUN
cana-5078	123	11	can	can	AUX
cana-5078	123	12	learn	learn	VERB
cana-5078	123	13	to	to	PART
cana-5078	123	14	recognize	recognize	VERB
cana-5078	123	15	subtle	subtle	ADJ
cana-5078	123	16	atmospheric	atmospheric	ADJ
cana-5078	123	17	conditions	condition	NOUN
cana-5078	123	18	that	that	PRON
cana-5078	123	19	often	often	ADV
cana-5078	123	20	precede	precede	VERB
cana-5078	123	21	hurricane	hurricane	NOUN
cana-5078	123	22	formation	formation	NOUN
cana-5078	123	23	and	and	CCONJ
cana-5078	123	24	development	development	NOUN
cana-5078	123	25	.	.	PUNCT
cana-5078	124	1	this	this	PRON
cana-5078	124	2	makes	make	VERB
cana-5078	124	3	them	they	PRON
cana-5078	124	4	particularly	particularly	ADV
cana-5078	124	5	valuable	valuable	ADJ
cana-5078	124	6	for	for	ADP
cana-5078	124	7	predicting	predict	VERB
cana-5078	124	8	hurricane	hurricane	NOUN
cana-5078	124	9	paths	path	NOUN
cana-5078	124	10	,	,	PUNCT
cana-5078	124	11	intensity	intensity	NOUN
cana-5078	124	12	changes	change	NOUN
cana-5078	124	13	,	,	PUNCT
cana-5078	124	14	and	and	CCONJ
cana-5078	124	15	potential	potential	ADJ
cana-5078	124	16	landfall	landfall	NOUN
cana-5078	124	17	locations	location	NOUN
cana-5078	124	18	.	.	PUNCT
cana-5078	125	1	the	the	DET
cana-5078	125	2	ability	ability	NOUN
cana-5078	125	3	of	of	ADP
cana-5078	125	4	neural	neural	ADJ
cana-5078	125	5	networks	network	NOUN
cana-5078	125	6	to	to	PART
cana-5078	125	7	handle	handle	VERB
cana-5078	125	8	non	non	ADJ
cana-5078	125	9	-	-	ADJ
cana-5078	125	10	linear	linear	ADJ
cana-5078	125	11	relationships	relationship	NOUN
cana-5078	125	12	between	between	ADP
cana-5078	125	13	various	various	ADJ
cana-5078	125	14	meteorological	meteorological	ADJ
cana-5078	125	15	parameters	parameter	NOUN
cana-5078	125	16	has	have	AUX
cana-5078	125	17	made	make	VERB
cana-5078	125	18	them	they	PRON
cana-5078	125	19	an	an	DET
cana-5078	125	20	increasingly	increasingly	ADV
cana-5078	125	21	important	important	ADJ
cana-5078	125	22	complement	complement	NOUN
cana-5078	125	23	to	to	ADP
cana-5078	125	24	conventional	conventional	ADJ
cana-5078	125	25	numerical	numerical	PROPN
cana-5078	125	26	weather	weather	PROPN
cana-5078	125	27	prediction	prediction	NOUN
cana-5078	125	28	models	model	NOUN
cana-5078	125	29	,	,	PUNCT
cana-5078	125	30	though	though	SCONJ
cana-5078	125	31	they	they	PRON
cana-5078	125	32	work	work	VERB
cana-5078	125	33	best	well	ADV
cana-5078	125	34	when	when	SCONJ
cana-5078	125	35	used	use	VERB
cana-5078	125	36	in	in	ADP
cana-5078	125	37	conjunction	conjunction	NOUN
cana-5078	125	38	with	with	ADP
cana-5078	125	39	traditional	traditional	ADJ
cana-5078	125	40	forecasting	forecasting	NOUN
cana-5078	125	41	methods	method	NOUN
cana-5078	125	42	and	and	CCONJ
cana-5078	125	43	expert	expert	ADJ
cana-5078	125	44	meteorological	meteorological	ADJ
cana-5078	125	45	knowledge	knowledge	NOUN
cana-5078	125	46	.	.	PUNCT
cana-5078	126	1	5.1.2	5.1.2	X
cana-5078	126	2	.	.	X
cana-5078	126	3	support	support	NOUN
cana-5078	126	4	vector	vector	NOUN
cana-5078	126	5	machines	machine	NOUN
cana-5078	126	6	(	(	PUNCT
cana-5078	126	7	svms	svms	NOUN
cana-5078	126	8	)	)	PUNCT
cana-5078	126	9	support	support	NOUN
cana-5078	126	10	vector	vector	NOUN
cana-5078	126	11	machines	machine	NOUN
cana-5078	126	12	(	(	PUNCT
cana-5078	126	13	svms	svms	NOUN
cana-5078	126	14	)	)	PUNCT
cana-5078	126	15	represent	represent	VERB
cana-5078	126	16	a	a	DET
cana-5078	126	17	sophisticated	sophisticated	ADJ
cana-5078	126	18	machine	machine	NOUN
cana-5078	126	19	-	-	PUNCT
cana-5078	126	20	learning	learn	VERB
cana-5078	126	21	approach	approach	NOUN
cana-5078	126	22	that	that	PRON
cana-5078	126	23	has	have	AUX
cana-5078	126	24	proven	prove	VERB
cana-5078	126	25	valuable	valuable	ADJ
cana-5078	126	26	in	in	ADP
cana-5078	126	27	hurricane	hurricane	NOUN
cana-5078	126	28	prediction	prediction	NOUN
cana-5078	126	29	.	.	PUNCT
cana-5078	127	1	these	these	DET
cana-5078	127	2	algorithms	algorithm	NOUN
cana-5078	127	3	excel	excel	VERB
cana-5078	127	4	at	at	ADP
cana-5078	127	5	analyzing	analyze	VERB
cana-5078	127	6	complex	complex	ADJ
cana-5078	127	7	meteorological	meteorological	ADJ
cana-5078	127	8	data	datum	NOUN
cana-5078	127	9	by	by	ADP
cana-5078	127	10	mapping	map	VERB
cana-5078	127	11	it	it	PRON
cana-5078	127	12	into	into	ADP
cana-5078	127	13	higher	high	ADJ
cana-5078	127	14	-	-	PUNCT
cana-5078	127	15	dimensional	dimensional	ADJ
cana-5078	127	16	spaces	space	NOUN
cana-5078	127	17	where	where	SCONJ
cana-5078	127	18	patterns	pattern	NOUN
cana-5078	127	19	become	become	VERB
cana-5078	127	20	more	more	ADV
cana-5078	127	21	distinguishable	distinguishable	ADJ
cana-5078	127	22	.	.	PUNCT
cana-5078	128	1	in	in	ADP
cana-5078	128	2	the	the	DET
cana-5078	128	3	context	context	NOUN
cana-5078	128	4	of	of	ADP
cana-5078	128	5	hurricane	hurricane	NOUN
cana-5078	128	6	forecasting	forecasting	NOUN
cana-5078	128	7	,	,	PUNCT
cana-5078	128	8	svms	svms	NOUN
cana-5078	128	9	can	can	AUX
cana-5078	128	10	effectively	effectively	ADV
cana-5078	128	11	process	process	VERB
cana-5078	128	12	multiple	multiple	ADJ
cana-5078	128	13	variables	variable	NOUN
cana-5078	128	14	simultaneously	simultaneously	ADV
cana-5078	128	15	from	from	ADP
cana-5078	128	16	sea	sea	NOUN
cana-5078	128	17	surface	surface	NOUN
cana-5078	128	18	temperatures	temperature	NOUN
cana-5078	128	19	and	and	CCONJ
cana-5078	128	20	wind	wind	NOUN
cana-5078	128	21	patterns	pattern	NOUN
cana-5078	128	22	to	to	ADP
cana-5078	128	23	atmospheric	atmospheric	ADJ
cana-5078	128	24	pressure	pressure	NOUN
cana-5078	128	25	and	and	CCONJ
cana-5078	128	26	humidity	humidity	NOUN
cana-5078	128	27	levels	level	NOUN
cana-5078	128	28	to	to	PART
cana-5078	128	29	identify	identify	VERB
cana-5078	128	30	conditions	condition	NOUN
cana-5078	128	31	conducive	conducive	ADJ
cana-5078	128	32	to	to	ADP
cana-5078	128	33	hurricane	hurricane	NOUN
cana-5078	128	34	formation	formation	NOUN
cana-5078	128	35	and	and	CCONJ
cana-5078	128	36	development	development	NOUN
cana-5078	128	37	.	.	PUNCT
cana-5078	129	1	their	their	PRON
cana-5078	129	2	particular	particular	ADJ
cana-5078	129	3	strength	strength	NOUN
cana-5078	129	4	lies	lie	VERB
cana-5078	129	5	in	in	ADP
cana-5078	129	6	their	their	PRON
cana-5078	129	7	ability	ability	NOUN
cana-5078	129	8	to	to	PART
cana-5078	129	9	create	create	VERB
cana-5078	129	10	clear	clear	ADJ
cana-5078	129	11	decision	decision	NOUN
cana-5078	129	12	boundaries	boundary	NOUN
cana-5078	129	13	between	between	ADP
cana-5078	129	14	different	different	ADJ
cana-5078	129	15	storm	storm	NOUN
cana-5078	129	16	classifications	classification	NOUN
cana-5078	129	17	and	and	CCONJ
cana-5078	129	18	conditions	condition	NOUN
cana-5078	129	19	,	,	PUNCT
cana-5078	129	20	making	make	VERB
cana-5078	129	21	them	they	PRON
cana-5078	129	22	especially	especially	ADV
cana-5078	129	23	useful	useful	ADJ
cana-5078	129	24	for	for	ADP
cana-5078	129	25	predicting	predict	VERB
cana-5078	129	26	hurricane	hurricane	NOUN
cana-5078	129	27	intensity	intensity	NOUN
cana-5078	129	28	categories	category	NOUN
cana-5078	129	29	.	.	PUNCT
cana-5078	130	1	svms	svms	NOUN
cana-5078	130	2	also	also	ADV
cana-5078	130	3	demonstrate	demonstrate	VERB
cana-5078	130	4	robust	robust	ADJ
cana-5078	130	5	performance	performance	NOUN
cana-5078	130	6	in	in	ADP
cana-5078	130	7	handling	handle	VERB
cana-5078	130	8	noisy	noisy	ADJ
cana-5078	130	9	meteorological	meteorological	ADJ
cana-5078	130	10	data	datum	NOUN
cana-5078	130	11	and	and	CCONJ
cana-5078	130	12	can	can	AUX
cana-5078	130	13	maintain	maintain	VERB
cana-5078	130	14	accuracy	accuracy	NOUN
cana-5078	130	15	even	even	ADV
cana-5078	130	16	with	with	ADP
cana-5078	130	17	relatively	relatively	ADV
cana-5078	130	18	smaller	small	ADJ
cana-5078	130	19	datasets	dataset	NOUN
cana-5078	130	20	than	than	ADP
cana-5078	130	21	other	other	ADJ
cana-5078	130	22	machine	machine	NOUN
cana-5078	130	23	learning	learning	NOUN
cana-5078	130	24	methods	method	NOUN
cana-5078	130	25	.	.	PUNCT
cana-5078	131	1	this	this	PRON
cana-5078	131	2	makes	make	VERB
cana-5078	131	3	them	they	PRON
cana-5078	131	4	particularly	particularly	ADV
cana-5078	131	5	valuable	valuable	ADJ
cana-5078	131	6	when	when	SCONJ
cana-5078	131	7	working	work	VERB
cana-5078	131	8	with	with	ADP
cana-5078	131	9	historical	historical	ADJ
cana-5078	131	10	hurricane	hurricane	NOUN
cana-5078	131	11	records	record	NOUN
cana-5078	131	12	,	,	PUNCT
cana-5078	131	13	where	where	SCONJ
cana-5078	131	14	comprehensive	comprehensive	ADJ
cana-5078	131	15	data	datum	NOUN
cana-5078	131	16	might	might	AUX
cana-5078	131	17	not	not	PART
cana-5078	131	18	always	always	ADV
cana-5078	131	19	be	be	AUX
cana-5078	131	20	available	available	ADJ
cana-5078	131	21	for	for	ADP
cana-5078	131	22	every	every	DET
cana-5078	131	23	storm	storm	NOUN
cana-5078	131	24	event	event	NOUN
cana-5078	131	25	.	.	PUNCT
cana-5078	132	1	communications	communication	NOUN
cana-5078	132	2	on	on	ADP
cana-5078	132	3	applied	apply	VERB
cana-5078	132	4	nonlinear	nonlinear	ADJ
cana-5078	132	5	analysis	analysis	NOUN
cana-5078	132	6	issn	issn	NOUN
cana-5078	132	7	:	:	PUNCT
cana-5078	132	8	1074	1074	NUM
cana-5078	132	9	-	-	PUNCT
cana-5078	132	10	133x	133x	NUM
cana-5078	132	11	vol	vol	NOUN
cana-5078	132	12	32	32	NUM
cana-5078	132	13	no	no	NOUN
cana-5078	132	14	.	.	PUNCT
cana-5078	133	1	icmasd	icmasd	NOUN
cana-5078	133	2	(	(	PUNCT
cana-5078	133	3	2025	2025	NUM
cana-5078	133	4	)	)	PUNCT
cana-5078	133	5	516	516	NUM
cana-5078	133	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5078	133	7	5.1.3	5.1.3	NUM
cana-5078	133	8	.	.	PUNCT
cana-5078	133	9	random	random	ADJ
cana-5078	133	10	forest	forest	NOUN
cana-5078	133	11	random	random	ADJ
cana-5078	133	12	forests	forest	NOUN
cana-5078	133	13	are	be	AUX
cana-5078	133	14	particularly	particularly	ADV
cana-5078	133	15	well	well	ADV
cana-5078	133	16	-	-	PUNCT
cana-5078	133	17	suited	suited	ADJ
cana-5078	133	18	for	for	ADP
cana-5078	133	19	hurricane	hurricane	NOUN
cana-5078	133	20	prediction	prediction	NOUN
cana-5078	133	21	due	due	ADP
cana-5078	133	22	to	to	ADP
cana-5078	133	23	their	their	PRON
cana-5078	133	24	ability	ability	NOUN
cana-5078	133	25	to	to	PART
cana-5078	133	26	handle	handle	VERB
cana-5078	133	27	complex	complex	ADJ
cana-5078	133	28	,	,	PUNCT
cana-5078	133	29	nonlinear	nonlinear	ADJ
cana-5078	133	30	relationships	relationship	NOUN
cana-5078	133	31	between	between	ADP
cana-5078	133	32	multiple	multiple	ADJ
cana-5078	133	33	meteorological	meteorological	ADJ
cana-5078	133	34	variables	variable	NOUN
cana-5078	133	35	.	.	PUNCT
cana-5078	134	1	the	the	DET
cana-5078	134	2	model	model	NOUN
cana-5078	134	3	works	work	VERB
cana-5078	134	4	by	by	ADP
cana-5078	134	5	creating	create	VERB
cana-5078	134	6	an	an	DET
cana-5078	134	7	ensemble	ensemble	NOUN
cana-5078	134	8	of	of	ADP
cana-5078	134	9	decision	decision	NOUN
cana-5078	134	10	trees	tree	NOUN
cana-5078	134	11	,	,	PUNCT
cana-5078	134	12	each	each	PRON
cana-5078	134	13	trained	train	VERB
cana-5078	134	14	on	on	ADP
cana-5078	134	15	different	different	ADJ
cana-5078	134	16	subsets	subset	NOUN
cana-5078	134	17	of	of	ADP
cana-5078	134	18	the	the	DET
cana-5078	134	19	data	datum	NOUN
cana-5078	134	20	,	,	PUNCT
cana-5078	134	21	which	which	PRON
cana-5078	134	22	collectively	collectively	ADV
cana-5078	134	23	make	make	VERB
cana-5078	134	24	predictions	prediction	NOUN
cana-5078	134	25	about	about	ADP
cana-5078	134	26	hurricane	hurricane	NOUN
cana-5078	134	27	formation	formation	NOUN
cana-5078	134	28	and	and	CCONJ
cana-5078	134	29	intensity	intensity	NOUN
cana-5078	134	30	.	.	PUNCT
cana-5078	135	1	for	for	ADP
cana-5078	135	2	hurricane	hurricane	PROPN
cana-5078	135	3	prediction	prediction	NOUN
cana-5078	135	4	,	,	PUNCT
cana-5078	135	5	key	key	ADJ
cana-5078	135	6	input	input	NOUN
cana-5078	135	7	features	feature	NOUN
cana-5078	135	8	typically	typically	ADV
cana-5078	135	9	include	include	VERB
cana-5078	135	10	sea	sea	NOUN
cana-5078	135	11	surface	surface	NOUN
cana-5078	135	12	temperature	temperature	NOUN
cana-5078	135	13	,	,	PUNCT
cana-5078	135	14	wind	wind	NOUN
cana-5078	135	15	speed	speed	NOUN
cana-5078	135	16	,	,	PUNCT
cana-5078	135	17	atmospheric	atmospheric	ADJ
cana-5078	135	18	pressure	pressure	NOUN
cana-5078	135	19	,	,	PUNCT
cana-5078	135	20	humidity	humidity	NOUN
cana-5078	135	21	,	,	PUNCT
cana-5078	135	22	and	and	CCONJ
cana-5078	135	23	precipitation	precipitation	NOUN
cana-5078	135	24	patterns	pattern	NOUN
cana-5078	135	25	.	.	PUNCT
cana-5078	136	1	these	these	DET
cana-5078	136	2	variables	variable	NOUN
cana-5078	136	3	interact	interact	VERB
cana-5078	136	4	in	in	ADP
cana-5078	136	5	complex	complex	ADJ
cana-5078	136	6	ways	way	NOUN
cana-5078	136	7	for	for	ADP
cana-5078	136	8	example	example	NOUN
cana-5078	136	9	,	,	PUNCT
cana-5078	136	10	warmer	warm	ADJ
cana-5078	136	11	sea	sea	NOUN
cana-5078	136	12	surface	surface	NOUN
cana-5078	136	13	temperatures	temperature	NOUN
cana-5078	136	14	combined	combine	VERB
cana-5078	136	15	with	with	ADP
cana-5078	136	16	low	low	ADJ
cana-5078	136	17	atmospheric	atmospheric	ADJ
cana-5078	136	18	pressure	pressure	NOUN
cana-5078	136	19	often	often	ADV
cana-5078	136	20	create	create	VERB
cana-5078	136	21	conditions	condition	NOUN
cana-5078	136	22	favourable	favourable	ADJ
cana-5078	136	23	for	for	ADP
cana-5078	136	24	hurricane	hurricane	NOUN
cana-5078	136	25	development	development	NOUN
cana-5078	136	26	.	.	PUNCT
cana-5078	137	1	random	random	ADJ
cana-5078	137	2	forests	forest	NOUN
cana-5078	137	3	can	can	AUX
cana-5078	137	4	automatically	automatically	ADV
cana-5078	137	5	detect	detect	VERB
cana-5078	137	6	and	and	CCONJ
cana-5078	137	7	learn	learn	VERB
cana-5078	137	8	from	from	ADP
cana-5078	137	9	these	these	DET
cana-5078	137	10	interactions	interaction	NOUN
cana-5078	137	11	.	.	PUNCT
cana-5078	138	1	the	the	DET
cana-5078	138	2	prediction	prediction	NOUN
cana-5078	138	3	process	process	NOUN
cana-5078	138	4	begins	begin	VERB
cana-5078	138	5	with	with	ADP
cana-5078	138	6	historical	historical	ADJ
cana-5078	138	7	hurricane	hurricane	NOUN
cana-5078	138	8	data	datum	NOUN
cana-5078	138	9	,	,	PUNCT
cana-5078	138	10	which	which	PRON
cana-5078	138	11	is	be	AUX
cana-5078	138	12	split	split	VERB
cana-5078	138	13	into	into	ADP
cana-5078	138	14	training	training	NOUN
cana-5078	138	15	and	and	CCONJ
cana-5078	138	16	testing	testing	NOUN
cana-5078	138	17	sets	set	NOUN
cana-5078	138	18	.	.	PUNCT
cana-5078	139	1	each	each	DET
cana-5078	139	2	decision	decision	NOUN
cana-5078	139	3	tree	tree	NOUN
cana-5078	139	4	in	in	ADP
cana-5078	139	5	the	the	DET
cana-5078	139	6	forest	forest	NOUN
cana-5078	139	7	examines	examine	VERB
cana-5078	139	8	different	different	ADJ
cana-5078	139	9	combinations	combination	NOUN
cana-5078	139	10	of	of	ADP
cana-5078	139	11	meteorological	meteorological	ADJ
cana-5078	139	12	conditions	condition	NOUN
cana-5078	139	13	that	that	PRON
cana-5078	139	14	have	have	AUX
cana-5078	139	15	historically	historically	ADV
cana-5078	139	16	led	lead	VERB
cana-5078	139	17	to	to	ADP
cana-5078	139	18	hurricane	hurricane	NOUN
cana-5078	139	19	formation	formation	NOUN
cana-5078	139	20	.	.	PUNCT
cana-5078	140	1	some	some	DET
cana-5078	140	2	trees	tree	NOUN
cana-5078	140	3	might	might	AUX
cana-5078	140	4	focus	focus	VERB
cana-5078	140	5	more	more	ADV
cana-5078	140	6	on	on	ADP
cana-5078	140	7	wind	wind	NOUN
cana-5078	140	8	patterns	pattern	NOUN
cana-5078	140	9	,	,	PUNCT
cana-5078	140	10	while	while	SCONJ
cana-5078	140	11	others	other	NOUN
cana-5078	140	12	might	might	AUX
cana-5078	140	13	give	give	VERB
cana-5078	140	14	more	more	ADJ
cana-5078	140	15	weight	weight	NOUN
cana-5078	140	16	to	to	ADP
cana-5078	140	17	temperature	temperature	NOUN
cana-5078	140	18	gradients	gradient	NOUN
cana-5078	140	19	.	.	PUNCT
cana-5078	141	1	this	this	DET
cana-5078	141	2	diversity	diversity	NOUN
cana-5078	141	3	in	in	ADP
cana-5078	141	4	the	the	DET
cana-5078	141	5	ensemble	ensemble	ADJ
cana-5078	141	6	helps	help	VERB
cana-5078	141	7	capture	capture	VERB
cana-5078	141	8	different	different	ADJ
cana-5078	141	9	aspects	aspect	NOUN
cana-5078	141	10	of	of	ADP
cana-5078	141	11	hurricane	hurricane	NOUN
cana-5078	141	12	development	development	NOUN
cana-5078	141	13	.	.	PUNCT
cana-5078	142	1	one	one	NUM
cana-5078	142	2	significant	significant	ADJ
cana-5078	142	3	advantage	advantage	NOUN
cana-5078	142	4	of	of	ADP
cana-5078	142	5	using	use	VERB
cana-5078	142	6	random	random	ADJ
cana-5078	142	7	forests	forest	NOUN
cana-5078	142	8	for	for	ADP
cana-5078	142	9	hurricane	hurricane	NOUN
cana-5078	142	10	prediction	prediction	NOUN
cana-5078	142	11	is	be	AUX
cana-5078	142	12	their	their	PRON
cana-5078	142	13	ability	ability	NOUN
cana-5078	142	14	to	to	PART
cana-5078	142	15	handle	handle	VERB
cana-5078	142	16	feature	feature	NOUN
cana-5078	142	17	importance	importance	NOUN
cana-5078	142	18	.	.	PUNCT
cana-5078	143	1	the	the	DET
cana-5078	143	2	model	model	NOUN
cana-5078	143	3	can	can	AUX
cana-5078	143	4	tell	tell	VERB
cana-5078	143	5	us	we	PRON
cana-5078	143	6	which	which	DET
cana-5078	143	7	meteorological	meteorological	ADJ
cana-5078	143	8	factors	factor	NOUN
cana-5078	143	9	are	be	AUX
cana-5078	143	10	most	most	ADV
cana-5078	143	11	crucial	crucial	ADJ
cana-5078	143	12	in	in	ADP
cana-5078	143	13	predicting	predict	VERB
cana-5078	143	14	hurricanes	hurricane	NOUN
cana-5078	143	15	.	.	PUNCT
cana-5078	144	1	for	for	ADP
cana-5078	144	2	instance	instance	NOUN
cana-5078	144	3	,	,	PUNCT
cana-5078	144	4	it	it	PRON
cana-5078	144	5	might	might	AUX
cana-5078	144	6	reveal	reveal	VERB
cana-5078	144	7	that	that	PRON
cana-5078	144	8	sea	sea	NOUN
cana-5078	144	9	surface	surface	NOUN
cana-5078	144	10	temperature	temperature	NOUN
cana-5078	144	11	is	be	AUX
cana-5078	144	12	the	the	DET
cana-5078	144	13	most	most	ADV
cana-5078	144	14	important	important	ADJ
cana-5078	144	15	predictor	predictor	NOUN
cana-5078	144	16	,	,	PUNCT
cana-5078	144	17	followed	follow	VERB
cana-5078	144	18	by	by	ADP
cana-5078	144	19	wind	wind	NOUN
cana-5078	144	20	shear	shear	NOUN
cana-5078	144	21	patterns	pattern	NOUN
cana-5078	144	22	.	.	PUNCT
cana-5078	145	1	this	this	DET
cana-5078	145	2	information	information	NOUN
cana-5078	145	3	is	be	AUX
cana-5078	145	4	valuable	valuable	ADJ
cana-5078	145	5	for	for	ADP
cana-5078	145	6	meteorologists	meteorologist	NOUN
cana-5078	145	7	in	in	ADP
cana-5078	145	8	understanding	understand	VERB
cana-5078	145	9	hurricane	hurricane	NOUN
cana-5078	145	10	dynamics	dynamic	NOUN
cana-5078	145	11	.	.	PUNCT
cana-5078	146	1	random	random	ADJ
cana-5078	146	2	forests	forest	NOUN
cana-5078	146	3	also	also	ADV
cana-5078	146	4	provide	provide	VERB
cana-5078	146	5	probability	probability	NOUN
cana-5078	146	6	estimates	estimate	NOUN
cana-5078	146	7	for	for	ADP
cana-5078	146	8	their	their	PRON
cana-5078	146	9	predictions	prediction	NOUN
cana-5078	146	10	,	,	PUNCT
cana-5078	146	11	which	which	PRON
cana-5078	146	12	is	be	AUX
cana-5078	146	13	crucial	crucial	ADJ
cana-5078	146	14	for	for	ADP
cana-5078	146	15	hurricane	hurricane	NOUN
cana-5078	146	16	forecasting	forecasting	NOUN
cana-5078	146	17	.	.	PUNCT
cana-5078	147	1	rather	rather	ADV
cana-5078	147	2	than	than	ADP
cana-5078	147	3	simply	simply	ADV
cana-5078	147	4	predicting	predict	VERB
cana-5078	147	5	whether	whether	SCONJ
cana-5078	147	6	a	a	DET
cana-5078	147	7	hurricane	hurricane	NOUN
cana-5078	147	8	will	will	AUX
cana-5078	147	9	form	form	VERB
cana-5078	147	10	,	,	PUNCT
cana-5078	147	11	the	the	DET
cana-5078	147	12	model	model	NOUN
cana-5078	147	13	can	can	AUX
cana-5078	147	14	estimate	estimate	VERB
cana-5078	147	15	the	the	DET
cana-5078	147	16	likelihood	likelihood	NOUN
cana-5078	147	17	of	of	ADP
cana-5078	147	18	formation	formation	NOUN
cana-5078	147	19	under	under	ADP
cana-5078	147	20	given	give	VERB
cana-5078	147	21	conditions	condition	NOUN
cana-5078	147	22	,	,	PUNCT
cana-5078	147	23	helping	help	VERB
cana-5078	147	24	meteorologists	meteorologist	NOUN
cana-5078	147	25	make	make	VERB
cana-5078	147	26	more	more	ADV
cana-5078	147	27	informed	informed	ADJ
cana-5078	147	28	decisions	decision	NOUN
cana-5078	147	29	about	about	ADP
cana-5078	147	30	issuing	issue	VERB
cana-5078	147	31	warnings	warning	NOUN
cana-5078	147	32	.	.	PUNCT
cana-5078	148	1	however	however	ADV
cana-5078	148	2	,	,	PUNCT
cana-5078	148	3	it	it	PRON
cana-5078	148	4	's	be	AUX
cana-5078	148	5	important	important	ADJ
cana-5078	148	6	to	to	PART
cana-5078	148	7	note	note	VERB
cana-5078	148	8	that	that	SCONJ
cana-5078	148	9	random	random	ADJ
cana-5078	148	10	forests	forest	NOUN
cana-5078	148	11	have	have	VERB
cana-5078	148	12	limitations	limitation	NOUN
cana-5078	148	13	in	in	ADP
cana-5078	148	14	hurricane	hurricane	NOUN
cana-5078	148	15	prediction	prediction	NOUN
cana-5078	148	16	.	.	PUNCT
cana-5078	149	1	they	they	PRON
cana-5078	149	2	work	work	VERB
cana-5078	149	3	best	well	ADV
cana-5078	149	4	with	with	ADP
cana-5078	149	5	complete	complete	ADJ
cana-5078	149	6	and	and	CCONJ
cana-5078	149	7	accurate	accurate	ADJ
cana-5078	149	8	historical	historical	ADJ
cana-5078	149	9	data	datum	NOUN
cana-5078	149	10	,	,	PUNCT
cana-5078	149	11	and	and	CCONJ
cana-5078	149	12	their	their	PRON
cana-5078	149	13	predictions	prediction	NOUN
cana-5078	149	14	are	be	AUX
cana-5078	149	15	based	base	VERB
cana-5078	149	16	entirely	entirely	ADV
cana-5078	149	17	on	on	ADP
cana-5078	149	18	past	past	ADJ
cana-5078	149	19	patterns	pattern	NOUN
cana-5078	149	20	.	.	PUNCT
cana-5078	150	1	they	they	PRON
cana-5078	150	2	may	may	AUX
cana-5078	150	3	not	not	PART
cana-5078	150	4	perform	perform	VERB
cana-5078	150	5	as	as	ADV
cana-5078	150	6	well	well	ADV
cana-5078	150	7	with	with	ADP
cana-5078	150	8	unprecedented	unprecedented	ADJ
cana-5078	150	9	weather	weather	NOUN
cana-5078	150	10	conditions	condition	NOUN
cana-5078	150	11	or	or	CCONJ
cana-5078	150	12	climate	climate	NOUN
cana-5078	150	13	change	change	NOUN
cana-5078	150	14	effects	effect	NOUN
cana-5078	150	15	that	that	PRON
cana-5078	150	16	deviate	deviate	VERB
cana-5078	150	17	significantly	significantly	ADV
cana-5078	150	18	from	from	ADP
cana-5078	150	19	historical	historical	ADJ
cana-5078	150	20	patterns	pattern	NOUN
cana-5078	150	21	.	.	PUNCT
cana-5078	151	1	therefore	therefore	ADV
cana-5078	151	2	,	,	PUNCT
cana-5078	151	3	they	they	PRON
cana-5078	151	4	're	be	AUX
cana-5078	151	5	typically	typically	ADV
cana-5078	151	6	used	use	VERB
cana-5078	151	7	as	as	ADP
cana-5078	151	8	one	one	NUM
cana-5078	151	9	tool	tool	NOUN
cana-5078	151	10	among	among	ADP
cana-5078	151	11	many	many	ADJ
cana-5078	151	12	in	in	ADP
cana-5078	151	13	hurricane	hurricane	NOUN
cana-5078	151	14	forecasting	forecasting	NOUN
cana-5078	151	15	,	,	PUNCT
cana-5078	151	16	complementing	complement	VERB
cana-5078	151	17	other	other	ADJ
cana-5078	151	18	prediction	prediction	NOUN
cana-5078	151	19	methods	method	NOUN
cana-5078	151	20	and	and	CCONJ
cana-5078	151	21	expert	expert	ADJ
cana-5078	151	22	meteorological	meteorological	ADJ
cana-5078	151	23	analysis	analysis	NOUN
cana-5078	151	24	.	.	PUNCT
cana-5078	152	1	5.2	5.2	NUM
cana-5078	152	2	.	.	PUNCT
cana-5078	153	1	deep	deep	ADJ
cana-5078	153	2	learning	learning	NOUN
cana-5078	153	3	approaches	approach	VERB
cana-5078	153	4	5.2.1	5.2.1	NUM
cana-5078	153	5	.	.	PUNCT
cana-5078	154	1	convolutional	convolutional	ADJ
cana-5078	154	2	neural	neural	ADJ
cana-5078	154	3	networks	network	NOUN
cana-5078	154	4	(	(	PUNCT
cana-5078	154	5	cnns	cnns	PROPN
cana-5078	154	6	)	)	PUNCT
cana-5078	154	7	cnns	cnn	NOUN
cana-5078	154	8	are	be	AUX
cana-5078	154	9	a	a	DET
cana-5078	154	10	cornerstone	cornerstone	NOUN
cana-5078	154	11	of	of	ADP
cana-5078	154	12	hurricane	hurricane	NOUN
cana-5078	154	13	detection	detection	NOUN
cana-5078	154	14	,	,	PUNCT
cana-5078	154	15	primarily	primarily	ADV
cana-5078	154	16	used	use	VERB
cana-5078	154	17	to	to	PART
cana-5078	154	18	analyze	analyze	VERB
cana-5078	154	19	satellite	satellite	NOUN
cana-5078	154	20	imagery	imagery	NOUN
cana-5078	154	21	and	and	CCONJ
cana-5078	154	22	radar	radar	NOUN
cana-5078	154	23	data	datum	NOUN
cana-5078	154	24	.	.	PUNCT
cana-5078	155	1	these	these	DET
cana-5078	155	2	networks	network	NOUN
cana-5078	155	3	excel	excel	VERB
cana-5078	155	4	in	in	ADP
cana-5078	155	5	identifying	identify	VERB
cana-5078	155	6	spatial	spatial	ADJ
cana-5078	155	7	features	feature	NOUN
cana-5078	155	8	such	such	ADJ
cana-5078	155	9	as	as	ADP
cana-5078	155	10	the	the	DET
cana-5078	155	11	eye	eye	NOUN
cana-5078	155	12	of	of	ADP
cana-5078	155	13	the	the	DET
cana-5078	155	14	hurricane	hurricane	NOUN
cana-5078	155	15	,	,	PUNCT
cana-5078	155	16	spiral	spiral	ADJ
cana-5078	155	17	rainbands	rainband	NOUN
cana-5078	155	18	,	,	PUNCT
cana-5078	155	19	and	and	CCONJ
cana-5078	155	20	cloud	cloud	NOUN
cana-5078	155	21	structures	structure	NOUN
cana-5078	155	22	.	.	PUNCT
cana-5078	156	1	by	by	ADP
cana-5078	156	2	learning	learn	VERB
cana-5078	156	3	intricate	intricate	ADJ
cana-5078	156	4	patterns	pattern	NOUN
cana-5078	156	5	from	from	ADP
cana-5078	156	6	images	image	NOUN
cana-5078	156	7	,	,	PUNCT
cana-5078	156	8	cnns	cnn	NOUN
cana-5078	156	9	can	can	AUX
cana-5078	156	10	classify	classify	VERB
cana-5078	156	11	hurricane	hurricane	NOUN
cana-5078	156	12	intensity	intensity	NOUN
cana-5078	156	13	and	and	CCONJ
cana-5078	156	14	provide	provide	VERB
cana-5078	156	15	insights	insight	NOUN
cana-5078	156	16	into	into	ADP
cana-5078	156	17	storm	storm	NOUN
cana-5078	156	18	development	development	NOUN
cana-5078	156	19	.	.	PUNCT
cana-5078	157	1	pre	pre	VERB
cana-5078	157	2	-	-	ADJ
cana-5078	157	3	trained	train	VERB
cana-5078	157	4	models	model	NOUN
cana-5078	157	5	like	like	ADP
cana-5078	157	6	resnet	resnet	NOUN
cana-5078	157	7	and	and	CCONJ
cana-5078	157	8	vgg	vgg	NOUN
cana-5078	157	9	are	be	AUX
cana-5078	157	10	often	often	ADV
cana-5078	157	11	fine	fine	ADV
cana-5078	157	12	-	-	PUNCT
cana-5078	157	13	tuned	tune	VERB
cana-5078	157	14	with	with	ADP
cana-5078	157	15	meteorological	meteorological	ADJ
cana-5078	157	16	datasets	dataset	NOUN
cana-5078	157	17	for	for	ADP
cana-5078	157	18	this	this	DET
cana-5078	157	19	purpose	purpose	NOUN
cana-5078	157	20	,	,	PUNCT
cana-5078	157	21	or	or	CCONJ
cana-5078	157	22	custom	custom	NOUN
cana-5078	157	23	architectures	architecture	NOUN
cana-5078	157	24	are	be	AUX
cana-5078	157	25	designed	design	VERB
cana-5078	157	26	specifically	specifically	ADV
cana-5078	157	27	for	for	ADP
cana-5078	157	28	atmospheric	atmospheric	ADJ
cana-5078	157	29	data	datum	NOUN
cana-5078	157	30	.	.	PUNCT
cana-5078	158	1	5.2.2	5.2.2	NUM
cana-5078	158	2	.	.	PUNCT
cana-5078	158	3	recurrent	recurrent	ADJ
cana-5078	158	4	neural	neural	ADJ
cana-5078	158	5	networks	network	NOUN
cana-5078	158	6	(	(	PUNCT
cana-5078	158	7	rnns	rnns	PROPN
cana-5078	158	8	)	)	PUNCT
cana-5078	158	9	and	and	CCONJ
cana-5078	158	10	lstm	lstm	NOUN
cana-5078	158	11	models	model	NOUN
cana-5078	158	12	communications	communication	NOUN
cana-5078	158	13	on	on	ADP
cana-5078	158	14	applied	apply	VERB
cana-5078	158	15	nonlinear	nonlinear	ADJ
cana-5078	158	16	analysis	analysis	NOUN
cana-5078	158	17	issn	issn	NOUN
cana-5078	158	18	:	:	PUNCT
cana-5078	158	19	1074	1074	NUM
cana-5078	158	20	-	-	PUNCT
cana-5078	158	21	133x	133x	NUM
cana-5078	158	22	vol	vol	NOUN
cana-5078	158	23	32	32	NUM
cana-5078	158	24	no	no	NOUN
cana-5078	158	25	.	.	PUNCT
cana-5078	159	1	icmasd	icmasd	NOUN
cana-5078	159	2	(	(	PUNCT
cana-5078	159	3	2025	2025	NUM
cana-5078	159	4	)	)	PUNCT
cana-5078	159	5	517	517	NUM
cana-5078	159	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5078	159	7	rnns	rnn	NOUN
cana-5078	159	8	and	and	CCONJ
cana-5078	159	9	lstms	lstms	NOUN
cana-5078	159	10	are	be	AUX
cana-5078	159	11	well	well	ADV
cana-5078	159	12	-	-	PUNCT
cana-5078	159	13	suited	suit	VERB
cana-5078	159	14	for	for	ADP
cana-5078	159	15	handling	handle	VERB
cana-5078	159	16	sequential	sequential	ADJ
cana-5078	159	17	data	datum	NOUN
cana-5078	159	18	,	,	PUNCT
cana-5078	159	19	making	make	VERB
cana-5078	159	20	them	they	PRON
cana-5078	159	21	ideal	ideal	ADJ
cana-5078	159	22	for	for	ADP
cana-5078	159	23	analyzing	analyze	VERB
cana-5078	159	24	timeseries	timeserie	NOUN
cana-5078	159	25	information	information	NOUN
cana-5078	159	26	such	such	ADJ
cana-5078	159	27	as	as	ADP
cana-5078	159	28	wind	wind	NOUN
cana-5078	159	29	speed	speed	NOUN
cana-5078	159	30	,	,	PUNCT
cana-5078	159	31	pressure	pressure	NOUN
cana-5078	159	32	variations	variation	NOUN
cana-5078	159	33	,	,	PUNCT
cana-5078	159	34	and	and	CCONJ
cana-5078	159	35	temperature	temperature	NOUN
cana-5078	159	36	changes	change	NOUN
cana-5078	159	37	.	.	PUNCT
cana-5078	160	1	these	these	DET
cana-5078	160	2	models	model	NOUN
cana-5078	160	3	are	be	AUX
cana-5078	160	4	frequently	frequently	ADV
cana-5078	160	5	employed	employ	VERB
cana-5078	160	6	to	to	PART
cana-5078	160	7	predict	predict	VERB
cana-5078	160	8	hurricane	hurricane	NOUN
cana-5078	160	9	trajectories	trajectory	NOUN
cana-5078	160	10	and	and	CCONJ
cana-5078	160	11	formation	formation	NOUN
cana-5078	160	12	by	by	ADP
cana-5078	160	13	learning	learn	VERB
cana-5078	160	14	temporal	temporal	ADJ
cana-5078	160	15	dependencies	dependency	NOUN
cana-5078	160	16	in	in	ADP
cana-5078	160	17	the	the	DET
cana-5078	160	18	data	datum	NOUN
cana-5078	160	19	.	.	PUNCT
cana-5078	161	1	for	for	ADP
cana-5078	161	2	instance	instance	NOUN
cana-5078	161	3	,	,	PUNCT
cana-5078	161	4	they	they	PRON
cana-5078	161	5	can	can	AUX
cana-5078	161	6	anticipate	anticipate	VERB
cana-5078	161	7	a	a	DET
cana-5078	161	8	tropical	tropical	ADJ
cana-5078	161	9	depression	depression	NOUN
cana-5078	161	10	's	's	PART
cana-5078	161	11	evolution	evolution	NOUN
cana-5078	161	12	into	into	ADP
cana-5078	161	13	a	a	DET
cana-5078	161	14	hurricane	hurricane	NOUN
cana-5078	161	15	or	or	CCONJ
cana-5078	161	16	forecast	forecast	VERB
cana-5078	161	17	its	its	PRON
cana-5078	161	18	movement	movement	NOUN
cana-5078	161	19	based	base	VERB
cana-5078	161	20	on	on	ADP
cana-5078	161	21	historical	historical	ADJ
cana-5078	161	22	trends	trend	NOUN
cana-5078	161	23	.	.	PUNCT
cana-5078	162	1	5.2.3	5.2.3	X
cana-5078	162	2	.	.	PUNCT
cana-5078	162	3	autoencoders	autoencoder	NOUN
cana-5078	162	4	autoencoders	autoencoder	NOUN
cana-5078	162	5	are	be	AUX
cana-5078	162	6	unsupervised	unsupervised	ADJ
cana-5078	162	7	models	model	NOUN
cana-5078	162	8	valuable	valuable	ADJ
cana-5078	162	9	for	for	ADP
cana-5078	162	10	feature	feature	NOUN
cana-5078	162	11	extraction	extraction	NOUN
cana-5078	162	12	and	and	CCONJ
cana-5078	162	13	anomaly	anomaly	NOUN
cana-5078	162	14	detection	detection	NOUN
cana-5078	162	15	in	in	ADP
cana-5078	162	16	weather	weather	NOUN
cana-5078	162	17	data	datum	NOUN
cana-5078	162	18	.	.	PUNCT
cana-5078	163	1	they	they	PRON
cana-5078	163	2	help	help	AUX
cana-5078	163	3	identify	identify	VERB
cana-5078	163	4	unusual	unusual	ADJ
cana-5078	163	5	atmospheric	atmospheric	ADJ
cana-5078	163	6	patterns	pattern	NOUN
cana-5078	163	7	that	that	PRON
cana-5078	163	8	may	may	AUX
cana-5078	163	9	indicate	indicate	VERB
cana-5078	163	10	hurricane	hurricane	NOUN
cana-5078	163	11	formation	formation	NOUN
cana-5078	163	12	and	and	CCONJ
cana-5078	163	13	can	can	AUX
cana-5078	163	14	also	also	ADV
cana-5078	163	15	enhance	enhance	VERB
cana-5078	163	16	the	the	DET
cana-5078	163	17	quality	quality	NOUN
cana-5078	163	18	of	of	ADP
cana-5078	163	19	satellite	satellite	NOUN
cana-5078	163	20	images	image	NOUN
cana-5078	163	21	by	by	ADP
cana-5078	163	22	reducing	reduce	VERB
cana-5078	163	23	noise	noise	NOUN
cana-5078	163	24	.	.	PUNCT
cana-5078	164	1	this	this	DET
cana-5078	164	2	capability	capability	NOUN
cana-5078	164	3	improves	improve	VERB
cana-5078	164	4	the	the	DET
cana-5078	164	5	clarity	clarity	NOUN
cana-5078	164	6	of	of	ADP
cana-5078	164	7	data	datum	NOUN
cana-5078	164	8	,	,	PUNCT
cana-5078	164	9	allowing	allow	VERB
cana-5078	164	10	for	for	ADP
cana-5078	164	11	more	more	ADV
cana-5078	164	12	accurate	accurate	ADJ
cana-5078	164	13	analysis	analysis	NOUN
cana-5078	164	14	.	.	PUNCT
cana-5078	165	1	5.2.4	5.2.4	NUM
cana-5078	165	2	.	.	PUNCT
cana-5078	165	3	generative	generative	ADJ
cana-5078	165	4	adversarial	adversarial	ADJ
cana-5078	165	5	networks	network	NOUN
cana-5078	165	6	(	(	PUNCT
cana-5078	165	7	gans	gan	NOUN
cana-5078	165	8	)	)	PUNCT
cana-5078	165	9	gans	gan	NOUN
cana-5078	165	10	play	play	VERB
cana-5078	165	11	a	a	DET
cana-5078	165	12	crucial	crucial	ADJ
cana-5078	165	13	role	role	NOUN
cana-5078	165	14	in	in	ADP
cana-5078	165	15	creating	create	VERB
cana-5078	165	16	synthetic	synthetic	ADJ
cana-5078	165	17	data	datum	NOUN
cana-5078	165	18	and	and	CCONJ
cana-5078	165	19	improving	improve	VERB
cana-5078	165	20	image	image	NOUN
cana-5078	165	21	quality	quality	NOUN
cana-5078	165	22	.	.	PUNCT
cana-5078	166	1	they	they	PRON
cana-5078	166	2	generate	generate	VERB
cana-5078	166	3	realistic	realistic	ADJ
cana-5078	166	4	hurricane	hurricane	NOUN
cana-5078	166	5	scenarios	scenario	NOUN
cana-5078	166	6	for	for	ADP
cana-5078	166	7	training	training	NOUN
cana-5078	166	8	purposes	purpose	NOUN
cana-5078	166	9	,	,	PUNCT
cana-5078	166	10	addressing	address	VERB
cana-5078	166	11	the	the	DET
cana-5078	166	12	challenge	challenge	NOUN
cana-5078	166	13	of	of	ADP
cana-5078	166	14	limited	limited	ADJ
cana-5078	166	15	labeled	label	VERB
cana-5078	166	16	data	datum	NOUN
cana-5078	166	17	.	.	PUNCT
cana-5078	167	1	additionally	additionally	ADV
cana-5078	167	2	,	,	PUNCT
cana-5078	167	3	gans	gan	NOUN
cana-5078	167	4	enhance	enhance	VERB
cana-5078	167	5	the	the	DET
cana-5078	167	6	resolution	resolution	NOUN
cana-5078	167	7	of	of	ADP
cana-5078	167	8	satellite	satellite	NOUN
cana-5078	167	9	images	image	NOUN
cana-5078	167	10	,	,	PUNCT
cana-5078	167	11	enabling	enable	VERB
cana-5078	167	12	better	well	ADJ
cana-5078	167	13	recognition	recognition	NOUN
cana-5078	167	14	of	of	ADP
cana-5078	167	15	fine	fine	ADJ
cana-5078	167	16	details	detail	NOUN
cana-5078	167	17	such	such	ADJ
cana-5078	167	18	as	as	ADP
cana-5078	167	19	storm	storm	NOUN
cana-5078	167	20	cloud	cloud	NOUN
cana-5078	167	21	patterns	pattern	NOUN
cana-5078	167	22	and	and	CCONJ
cana-5078	167	23	structural	structural	ADJ
cana-5078	167	24	changes	change	NOUN
cana-5078	167	25	.	.	PUNCT
cana-5078	168	1	5.2.5	5.2.5	X
cana-5078	168	2	.	.	X
cana-5078	168	3	transfer	transfer	NOUN
cana-5078	168	4	learning	learning	NOUN
cana-5078	168	5	transfer	transfer	NOUN
cana-5078	168	6	learning	learning	NOUN
cana-5078	168	7	involves	involve	VERB
cana-5078	168	8	adapting	adapt	VERB
cana-5078	168	9	pre	pre	VERB
cana-5078	168	10	-	-	ADJ
cana-5078	168	11	trained	train	VERB
cana-5078	168	12	deep	deep	ADJ
cana-5078	168	13	learning	learning	NOUN
cana-5078	168	14	models	model	NOUN
cana-5078	168	15	to	to	ADP
cana-5078	168	16	hurricane	hurricane	NOUN
cana-5078	168	17	detection	detection	NOUN
cana-5078	168	18	tasks	task	NOUN
cana-5078	168	19	.	.	PUNCT
cana-5078	169	1	by	by	ADP
cana-5078	169	2	fine	fine	ADJ
cana-5078	169	3	-	-	PUNCT
cana-5078	169	4	tuning	tune	VERB
cana-5078	169	5	models	model	NOUN
cana-5078	169	6	that	that	PRON
cana-5078	169	7	were	be	AUX
cana-5078	169	8	originally	originally	ADV
cana-5078	169	9	trained	train	VERB
cana-5078	169	10	on	on	ADP
cana-5078	169	11	general	general	ADJ
cana-5078	169	12	image	image	NOUN
cana-5078	169	13	datasets	dataset	NOUN
cana-5078	169	14	,	,	PUNCT
cana-5078	169	15	researchers	researcher	NOUN
cana-5078	169	16	can	can	AUX
cana-5078	169	17	significantly	significantly	ADV
cana-5078	169	18	reduce	reduce	VERB
cana-5078	169	19	training	training	NOUN
cana-5078	169	20	time	time	NOUN
cana-5078	169	21	and	and	CCONJ
cana-5078	169	22	computational	computational	ADJ
cana-5078	169	23	demands	demand	NOUN
cana-5078	169	24	.	.	PUNCT
cana-5078	170	1	this	this	DET
cana-5078	170	2	approach	approach	NOUN
cana-5078	170	3	is	be	AUX
cana-5078	170	4	particularly	particularly	ADV
cana-5078	170	5	effective	effective	ADJ
cana-5078	170	6	for	for	ADP
cana-5078	170	7	rapid	rapid	ADJ
cana-5078	170	8	deployment	deployment	NOUN
cana-5078	170	9	of	of	ADP
cana-5078	170	10	hurricane	hurricane	NOUN
cana-5078	170	11	monitoring	monitoring	NOUN
cana-5078	170	12	systems	system	NOUN
cana-5078	170	13	.	.	PUNCT
cana-5078	171	1	5.2.6	5.2.6	X
cana-5078	171	2	.	.	PUNCT
cana-5078	171	3	hybrid	hybrid	NOUN
cana-5078	171	4	models	model	NOUN
cana-5078	171	5	hybrid	hybrid	NOUN
cana-5078	171	6	models	model	NOUN
cana-5078	171	7	combine	combine	VERB
cana-5078	171	8	the	the	DET
cana-5078	171	9	strengths	strength	NOUN
cana-5078	171	10	of	of	ADP
cana-5078	171	11	different	different	ADJ
cana-5078	171	12	deep	deep	ADJ
cana-5078	171	13	-	-	PUNCT
cana-5078	171	14	learning	learn	VERB
cana-5078	171	15	approaches	approach	NOUN
cana-5078	171	16	to	to	PART
cana-5078	171	17	achieve	achieve	VERB
cana-5078	171	18	superior	superior	ADJ
cana-5078	171	19	performance	performance	NOUN
cana-5078	171	20	.	.	PUNCT
cana-5078	172	1	for	for	ADP
cana-5078	172	2	example	example	NOUN
cana-5078	172	3	,	,	PUNCT
cana-5078	172	4	cnns	cnn	NOUN
cana-5078	172	5	can	can	AUX
cana-5078	172	6	extract	extract	VERB
cana-5078	172	7	spatial	spatial	ADJ
cana-5078	172	8	features	feature	NOUN
cana-5078	172	9	from	from	ADP
cana-5078	172	10	satellite	satellite	NOUN
cana-5078	172	11	imagery	imagery	NOUN
cana-5078	172	12	,	,	PUNCT
cana-5078	172	13	while	while	SCONJ
cana-5078	172	14	lstms	lstms	ADJ
cana-5078	172	15	handle	handle	VERB
cana-5078	172	16	temporal	temporal	ADJ
cana-5078	172	17	data	datum	NOUN
cana-5078	172	18	,	,	PUNCT
cana-5078	172	19	allowing	allow	VERB
cana-5078	172	20	the	the	DET
cana-5078	172	21	integrated	integrated	ADJ
cana-5078	172	22	model	model	NOUN
cana-5078	172	23	to	to	PART
cana-5078	172	24	predict	predict	VERB
cana-5078	172	25	hurricane	hurricane	NOUN
cana-5078	172	26	paths	path	NOUN
cana-5078	172	27	and	and	CCONJ
cana-5078	172	28	intensities	intensity	NOUN
cana-5078	172	29	more	more	ADV
cana-5078	172	30	accurately	accurately	ADV
cana-5078	172	31	.	.	PUNCT
cana-5078	173	1	physics	physics	NOUN
cana-5078	173	2	-	-	PUNCT
cana-5078	173	3	informed	inform	VERB
cana-5078	173	4	neural	neural	ADJ
cana-5078	173	5	networks	network	NOUN
cana-5078	173	6	,	,	PUNCT
cana-5078	173	7	which	which	PRON
cana-5078	173	8	embed	embed	VERB
cana-5078	173	9	meteorological	meteorological	ADJ
cana-5078	173	10	laws	law	NOUN
cana-5078	173	11	into	into	ADP
cana-5078	173	12	deep	deep	ADJ
cana-5078	173	13	learning	learning	NOUN
cana-5078	173	14	frameworks	framework	NOUN
cana-5078	173	15	,	,	PUNCT
cana-5078	173	16	are	be	AUX
cana-5078	173	17	also	also	ADV
cana-5078	173	18	gaining	gain	VERB
cana-5078	173	19	traction	traction	NOUN
cana-5078	173	20	for	for	ADP
cana-5078	173	21	precise	precise	ADJ
cana-5078	173	22	and	and	CCONJ
cana-5078	173	23	reliable	reliable	ADJ
cana-5078	173	24	predictions	prediction	NOUN
cana-5078	173	25	.	.	PUNCT
cana-5078	174	1	6	6	X
cana-5078	174	2	.	.	X
cana-5078	174	3	prisma	prisma	PROPN
cana-5078	174	4	diagram	diagram	PROPN
cana-5078	174	5	(	(	PUNCT
cana-5078	174	6	flow	flow	NOUN
cana-5078	174	7	chart	chart	NOUN
cana-5078	174	8	)	)	PUNCT
cana-5078	174	9	communications	communication	NOUN
cana-5078	174	10	on	on	ADP
cana-5078	174	11	applied	apply	VERB
cana-5078	174	12	nonlinear	nonlinear	ADJ
cana-5078	174	13	analysis	analysis	NOUN
cana-5078	174	14	issn	issn	NOUN
cana-5078	174	15	:	:	PUNCT
cana-5078	174	16	1074	1074	NUM
cana-5078	174	17	-	-	PUNCT
cana-5078	174	18	133x	133x	NUM
cana-5078	174	19	vol	vol	NOUN
cana-5078	174	20	32	32	NUM
cana-5078	174	21	no	no	NOUN
cana-5078	174	22	.	.	PUNCT
cana-5078	175	1	icmasd	icmasd	NOUN
cana-5078	175	2	(	(	PUNCT
cana-5078	175	3	2025	2025	NUM
cana-5078	175	4	)	)	PUNCT
cana-5078	175	5	518	518	NUM
cana-5078	175	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5078	175	7	figure	figure	NOUN
cana-5078	175	8	1	1	NUM
cana-5078	175	9	.	.	PUNCT
cana-5078	176	1	prisma	prisma	PROPN
cana-5078	176	2	diagram	diagram	PROPN
cana-5078	176	3	on	on	ADP
cana-5078	176	4	the	the	DET
cana-5078	176	5	systematic	systematic	ADJ
cana-5078	176	6	review	review	NOUN
cana-5078	176	7	on	on	ADP
cana-5078	176	8	prediction	prediction	NOUN
cana-5078	176	9	of	of	ADP
cana-5078	176	10	hurricanes	hurricane	NOUN
cana-5078	176	11	using	use	VERB
cana-5078	176	12	ai	ai	VERB
cana-5078	176	13	techniques	technique	NOUN
cana-5078	176	14	7	7	NUM
cana-5078	176	15	.	.	NOUN
cana-5078	176	16	results	result	NOUN
cana-5078	176	17	and	and	CCONJ
cana-5078	176	18	discussion	discussion	NOUN
cana-5078	176	19	7.1	7.1	NUM
cana-5078	176	20	.	.	PUNCT
cana-5078	177	1	explanation	explanation	NOUN
cana-5078	177	2	of	of	ADP
cana-5078	177	3	research	research	NOUN
cana-5078	177	4	questions	question	NOUN
cana-5078	177	5	rq1	rq1	VERB
cana-5078	177	6	:	:	PUNCT
cana-5078	177	7	how	how	SCONJ
cana-5078	177	8	do	do	AUX
cana-5078	177	9	different	different	ADJ
cana-5078	177	10	machine	machine	NOUN
cana-5078	177	11	learning	learn	VERB
cana-5078	177	12	algorithms	algorithm	NOUN
cana-5078	177	13	compare	compare	VERB
cana-5078	177	14	in	in	ADP
cana-5078	177	15	their	their	PRON
cana-5078	177	16	effectiveness	effectiveness	NOUN
cana-5078	177	17	for	for	ADP
cana-5078	177	18	predicting	predict	VERB
cana-5078	177	19	hurricane	hurricane	NOUN
cana-5078	177	20	trajectories	trajectory	NOUN
cana-5078	177	21	?	?	PUNCT
cana-5078	178	1	machine	machine	NOUN
cana-5078	178	2	learning	learn	VERB
cana-5078	178	3	algorithms	algorithm	NOUN
cana-5078	178	4	exhibit	exhibit	VERB
cana-5078	178	5	varying	vary	VERB
cana-5078	178	6	effectiveness	effectiveness	NOUN
cana-5078	178	7	in	in	ADP
cana-5078	178	8	predicting	predict	VERB
cana-5078	178	9	hurricane	hurricane	NOUN
cana-5078	178	10	trajectories	trajectory	NOUN
cana-5078	178	11	based	base	VERB
cana-5078	178	12	on	on	ADP
cana-5078	178	13	their	their	PRON
cana-5078	178	14	ability	ability	NOUN
cana-5078	178	15	to	to	PART
cana-5078	178	16	handle	handle	VERB
cana-5078	178	17	complex	complex	ADJ
cana-5078	178	18	,	,	PUNCT
cana-5078	178	19	non	non	ADJ
cana-5078	178	20	-	-	ADJ
cana-5078	178	21	linear	linear	ADJ
cana-5078	178	22	relationships	relationship	NOUN
cana-5078	178	23	and	and	CCONJ
cana-5078	178	24	the	the	DET
cana-5078	178	25	nature	nature	NOUN
cana-5078	178	26	of	of	ADP
cana-5078	178	27	the	the	DET
cana-5078	178	28	data	datum	NOUN
cana-5078	178	29	.	.	PUNCT
cana-5078	179	1	artificial	artificial	ADJ
cana-5078	179	2	neural	neural	ADJ
cana-5078	179	3	networks	network	NOUN
cana-5078	179	4	(	(	PUNCT
cana-5078	179	5	anns	anns	PROPN
cana-5078	179	6	)	)	PUNCT
cana-5078	179	7	excel	excel	VERB
cana-5078	179	8	at	at	ADP
cana-5078	179	9	modeling	model	VERB
cana-5078	179	10	intricate	intricate	ADJ
cana-5078	179	11	interactions	interaction	NOUN
cana-5078	179	12	but	but	CCONJ
cana-5078	179	13	require	require	VERB
cana-5078	179	14	large	large	ADJ
cana-5078	179	15	datasets	dataset	NOUN
cana-5078	179	16	and	and	CCONJ
cana-5078	179	17	are	be	AUX
cana-5078	179	18	computationally	computationally	ADV
cana-5078	179	19	intensive	intensive	ADJ
cana-5078	179	20	.	.	PUNCT
cana-5078	180	1	support	support	NOUN
cana-5078	180	2	vector	vector	NOUN
cana-5078	180	3	machines	machine	NOUN
cana-5078	180	4	(	(	PUNCT
cana-5078	180	5	svms	svms	NOUN
cana-5078	180	6	)	)	PUNCT
cana-5078	180	7	perform	perform	VERB
cana-5078	180	8	well	well	ADV
cana-5078	180	9	with	with	ADP
cana-5078	180	10	smaller	small	ADJ
cana-5078	180	11	datasets	dataset	NOUN
cana-5078	180	12	and	and	CCONJ
cana-5078	180	13	can	can	AUX
cana-5078	180	14	classify	classify	VERB
cana-5078	180	15	trajectory	trajectory	NOUN
cana-5078	180	16	clusters	cluster	NOUN
cana-5078	180	17	effectively	effectively	ADV
cana-5078	180	18	but	but	CCONJ
cana-5078	180	19	struggle	struggle	VERB
cana-5078	180	20	with	with	ADP
cana-5078	180	21	scalability	scalability	NOUN
cana-5078	180	22	and	and	CCONJ
cana-5078	180	23	highly	highly	ADV
cana-5078	180	24	non	non	ADJ
cana-5078	180	25	-	-	ADJ
cana-5078	180	26	linear	linear	ADJ
cana-5078	180	27	dynamics	dynamic	NOUN
cana-5078	180	28	.	.	PUNCT
cana-5078	181	1	random	random	ADJ
cana-5078	181	2	forests	forest	NOUN
cana-5078	181	3	(	(	PUNCT
cana-5078	181	4	rfs	rfs	PROPN
cana-5078	181	5	)	)	PUNCT
cana-5078	181	6	are	be	AUX
cana-5078	181	7	robust	robust	ADJ
cana-5078	181	8	to	to	PART
cana-5078	181	9	noise	noise	VERB
cana-5078	181	10	and	and	CCONJ
cana-5078	181	11	overfitting	overfitting	NOUN
cana-5078	181	12	,	,	PUNCT
cana-5078	181	13	offering	offer	VERB
cana-5078	181	14	reliable	reliable	ADJ
cana-5078	181	15	predictions	prediction	NOUN
cana-5078	181	16	and	and	CCONJ
cana-5078	181	17	feature	feature	NOUN
cana-5078	181	18	interpretability	interpretability	NOUN
cana-5078	181	19	,	,	PUNCT
cana-5078	181	20	although	although	SCONJ
cana-5078	181	21	they	they	PRON
cana-5078	181	22	may	may	AUX
cana-5078	181	23	not	not	PART
cana-5078	181	24	capture	capture	VERB
cana-5078	181	25	complex	complex	ADJ
cana-5078	181	26	interactions	interaction	NOUN
cana-5078	181	27	as	as	ADV
cana-5078	181	28	effectively	effectively	ADV
cana-5078	181	29	as	as	ADP
cana-5078	181	30	anns	ann	NOUN
cana-5078	181	31	.	.	PUNCT
cana-5078	182	1	gradient	gradient	ADJ
cana-5078	182	2	boosting	boost	VERB
cana-5078	182	3	machines	machine	NOUN
cana-5078	182	4	(	(	PUNCT
cana-5078	182	5	e.g.	e.g.	ADV
cana-5078	182	6	,	,	PUNCT
cana-5078	182	7	xgboost	xgboost	ADV
cana-5078	182	8	,	,	PUNCT
cana-5078	182	9	lightgbm	lightgbm	ADJ
cana-5078	182	10	)	)	PUNCT
cana-5078	182	11	strike	strike	VERB
cana-5078	182	12	a	a	DET
cana-5078	182	13	balance	balance	NOUN
cana-5078	182	14	,	,	PUNCT
cana-5078	182	15	performing	perform	VERB
cana-5078	182	16	well	well	ADV
cana-5078	182	17	with	with	ADP
cana-5078	182	18	structured	structured	ADJ
cana-5078	182	19	data	datum	NOUN
cana-5078	182	20	and	and	CCONJ
cana-5078	182	21	smaller	small	ADJ
cana-5078	182	22	datasets	dataset	NOUN
cana-5078	182	23	but	but	CCONJ
cana-5078	182	24	demand	demand	VERB
cana-5078	182	25	careful	careful	ADJ
cana-5078	182	26	hyperparameter	hyperparameter	NOUN
cana-5078	182	27	tuning	tune	VERB
cana-5078	182	28	.	.	PUNCT
cana-5078	183	1	deep	deep	ADJ
cana-5078	183	2	learning	learning	NOUN
cana-5078	183	3	architectures	architecture	NOUN
cana-5078	183	4	,	,	PUNCT
cana-5078	183	5	including	include	VERB
cana-5078	183	6	recurrent	recurrent	ADJ
cana-5078	183	7	neural	neural	ADJ
cana-5078	183	8	networks	network	NOUN
cana-5078	183	9	(	(	PUNCT
cana-5078	183	10	rnns	rnns	PROPN
cana-5078	183	11	)	)	PUNCT
cana-5078	183	12	,	,	PUNCT
cana-5078	183	13	long	long	ADJ
cana-5078	183	14	short	short	ADJ
cana-5078	183	15	-	-	PUNCT
cana-5078	183	16	term	term	NOUN
cana-5078	183	17	memory	memory	NOUN
cana-5078	183	18	networks	network	NOUN
cana-5078	183	19	(	(	PUNCT
cana-5078	183	20	lstms	lstms	ADJ
cana-5078	183	21	)	)	PUNCT
cana-5078	183	22	,	,	PUNCT
cana-5078	183	23	and	and	CCONJ
cana-5078	183	24	convolutional	convolutional	ADJ
cana-5078	183	25	neural	neural	ADJ
cana-5078	183	26	networks	network	NOUN
cana-5078	183	27	(	(	PUNCT
cana-5078	183	28	cnns	cnns	PROPN
cana-5078	183	29	)	)	PUNCT
cana-5078	183	30	,	,	PUNCT
cana-5078	183	31	are	be	AUX
cana-5078	183	32	particularly	particularly	ADV
cana-5078	183	33	suited	suit	VERB
cana-5078	183	34	for	for	SCONJ
cana-5078	183	35	sequential	sequential	ADJ
cana-5078	183	36	data	datum	NOUN
cana-5078	183	37	like	like	ADP
cana-5078	183	38	time	time	NOUN
cana-5078	183	39	series	series	NOUN
cana-5078	183	40	or	or	CCONJ
cana-5078	183	41	communications	communication	NOUN
cana-5078	183	42	on	on	ADP
cana-5078	183	43	applied	apply	VERB
cana-5078	183	44	nonlinear	nonlinear	ADJ
cana-5078	183	45	analysis	analysis	NOUN
cana-5078	183	46	issn	issn	NOUN
cana-5078	183	47	:	:	PUNCT
cana-5078	183	48	1074	1074	NUM
cana-5078	183	49	-	-	PUNCT
cana-5078	183	50	133x	133x	NUM
cana-5078	183	51	vol	vol	NOUN
cana-5078	183	52	32	32	NUM
cana-5078	183	53	no	no	NOUN
cana-5078	183	54	.	.	PUNCT
cana-5078	184	1	icmasd	icmasd	NOUN
cana-5078	184	2	(	(	PUNCT
cana-5078	184	3	2025	2025	NUM
cana-5078	184	4	)	)	PUNCT
cana-5078	184	5	519	519	NUM
cana-5078	184	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5078	184	7	spatial	spatial	ADJ
cana-5078	184	8	data	datum	NOUN
cana-5078	184	9	from	from	ADP
cana-5078	184	10	satellite	satellite	NOUN
cana-5078	184	11	imagery	imagery	NOUN
cana-5078	184	12	,	,	PUNCT
cana-5078	184	13	making	make	VERB
cana-5078	184	14	them	they	PRON
cana-5078	184	15	powerful	powerful	ADJ
cana-5078	184	16	for	for	ADP
cana-5078	184	17	trajectory	trajectory	NOUN
cana-5078	184	18	prediction	prediction	NOUN
cana-5078	184	19	,	,	PUNCT
cana-5078	184	20	though	though	SCONJ
cana-5078	184	21	they	they	PRON
cana-5078	184	22	require	require	VERB
cana-5078	184	23	extensive	extensive	ADJ
cana-5078	184	24	data	datum	NOUN
cana-5078	184	25	and	and	CCONJ
cana-5078	184	26	computational	computational	ADJ
cana-5078	184	27	resources	resource	NOUN
cana-5078	184	28	.	.	PUNCT
cana-5078	185	1	ultimately	ultimately	ADV
cana-5078	185	2	,	,	PUNCT
cana-5078	185	3	the	the	DET
cana-5078	185	4	choice	choice	NOUN
cana-5078	185	5	of	of	ADP
cana-5078	185	6	algorithm	algorithm	NOUN
cana-5078	185	7	depends	depend	VERB
cana-5078	185	8	on	on	ADP
cana-5078	185	9	the	the	DET
cana-5078	185	10	dataset	dataset	NOUN
cana-5078	185	11	characteristics	characteristic	NOUN
cana-5078	185	12	,	,	PUNCT
cana-5078	185	13	computational	computational	ADJ
cana-5078	185	14	resources	resource	NOUN
cana-5078	185	15	,	,	PUNCT
cana-5078	185	16	and	and	CCONJ
cana-5078	185	17	the	the	DET
cana-5078	185	18	specific	specific	ADJ
cana-5078	185	19	problem	problem	NOUN
cana-5078	185	20	requirements	requirement	NOUN
cana-5078	185	21	.	.	PUNCT
cana-5078	186	1	rq2	rq2	NOUN
cana-5078	186	2	:	:	PUNCT
cana-5078	186	3	what	what	PRON
cana-5078	186	4	are	be	AUX
cana-5078	186	5	the	the	DET
cana-5078	186	6	most	most	ADV
cana-5078	186	7	accurate	accurate	ADJ
cana-5078	186	8	machine	machine	NOUN
cana-5078	186	9	-	-	PUNCT
cana-5078	186	10	learning	learn	VERB
cana-5078	186	11	techniques	technique	NOUN
cana-5078	186	12	for	for	ADP
cana-5078	186	13	forecasting	forecast	VERB
cana-5078	186	14	hurricane	hurricane	NOUN
cana-5078	186	15	intensity	intensity	NOUN
cana-5078	186	16	?	?	PUNCT
cana-5078	187	1	the	the	DET
cana-5078	187	2	most	most	ADV
cana-5078	187	3	accurate	accurate	ADJ
cana-5078	187	4	machine	machine	NOUN
cana-5078	187	5	learning	learn	VERB
cana-5078	187	6	techniques	technique	NOUN
cana-5078	187	7	for	for	ADP
cana-5078	187	8	forecasting	forecast	VERB
cana-5078	187	9	hurricane	hurricane	NOUN
cana-5078	187	10	intensity	intensity	NOUN
cana-5078	187	11	often	often	ADV
cana-5078	187	12	depend	depend	VERB
cana-5078	187	13	on	on	ADP
cana-5078	187	14	their	their	PRON
cana-5078	187	15	ability	ability	NOUN
cana-5078	187	16	to	to	PART
cana-5078	187	17	handle	handle	VERB
cana-5078	187	18	non	non	ADJ
cana-5078	187	19	-	-	ADJ
cana-5078	187	20	linear	linear	ADJ
cana-5078	187	21	relationships	relationship	NOUN
cana-5078	187	22	,	,	PUNCT
cana-5078	187	23	incorporate	incorporate	VERB
cana-5078	187	24	diverse	diverse	ADJ
cana-5078	187	25	data	datum	NOUN
cana-5078	187	26	sources	source	NOUN
cana-5078	187	27	,	,	PUNCT
cana-5078	187	28	and	and	CCONJ
cana-5078	187	29	provide	provide	VERB
cana-5078	187	30	probabilistic	probabilistic	ADJ
cana-5078	187	31	predictions	prediction	NOUN
cana-5078	187	32	.	.	PUNCT
cana-5078	188	1	deep	deep	ADJ
cana-5078	188	2	learning	learning	NOUN
cana-5078	188	3	models	model	NOUN
cana-5078	188	4	,	,	PUNCT
cana-5078	188	5	such	such	ADJ
cana-5078	188	6	as	as	ADP
cana-5078	188	7	convolutional	convolutional	ADJ
cana-5078	188	8	neural	neural	ADJ
cana-5078	188	9	networks	network	NOUN
cana-5078	188	10	(	(	PUNCT
cana-5078	188	11	cnns	cnns	PROPN
cana-5078	188	12	)	)	PUNCT
cana-5078	188	13	and	and	CCONJ
cana-5078	188	14	long	long	ADJ
cana-5078	188	15	short	short	ADJ
cana-5078	188	16	-	-	PUNCT
cana-5078	188	17	term	term	NOUN
cana-5078	188	18	memory	memory	NOUN
cana-5078	188	19	networks	network	NOUN
cana-5078	188	20	(	(	PUNCT
cana-5078	188	21	lstms	lstms	ADJ
cana-5078	188	22	)	)	PUNCT
cana-5078	188	23	,	,	PUNCT
cana-5078	188	24	are	be	AUX
cana-5078	188	25	highly	highly	ADV
cana-5078	188	26	effective	effective	ADJ
cana-5078	188	27	for	for	ADP
cana-5078	188	28	intensity	intensity	NOUN
cana-5078	188	29	prediction	prediction	NOUN
cana-5078	188	30	due	due	ADP
cana-5078	188	31	to	to	ADP
cana-5078	188	32	their	their	PRON
cana-5078	188	33	capacity	capacity	NOUN
cana-5078	188	34	to	to	PART
cana-5078	188	35	process	process	VERB
cana-5078	188	36	spatial	spatial	ADJ
cana-5078	188	37	data	datum	NOUN
cana-5078	188	38	(	(	PUNCT
cana-5078	188	39	e.g.	e.g.	ADV
cana-5078	188	40	,	,	PUNCT
cana-5078	188	41	satellite	satellite	NOUN
cana-5078	188	42	imagery	imagery	NOUN
cana-5078	188	43	)	)	PUNCT
cana-5078	188	44	and	and	CCONJ
cana-5078	188	45	temporal	temporal	ADJ
cana-5078	188	46	sequences	sequence	NOUN
cana-5078	188	47	(	(	PUNCT
cana-5078	188	48	e.g.	e.g.	ADV
cana-5078	188	49	,	,	PUNCT
cana-5078	188	50	atmospheric	atmospheric	ADJ
cana-5078	188	51	conditions	condition	NOUN
cana-5078	188	52	over	over	ADP
cana-5078	188	53	time	time	NOUN
cana-5078	188	54	)	)	PUNCT
cana-5078	188	55	.	.	PUNCT
cana-5078	189	1	lstms	lstms	ADJ
cana-5078	189	2	,	,	PUNCT
cana-5078	189	3	in	in	ADP
cana-5078	189	4	particular	particular	ADJ
cana-5078	189	5	,	,	PUNCT
cana-5078	189	6	are	be	AUX
cana-5078	189	7	adept	adept	ADJ
cana-5078	189	8	at	at	ADP
cana-5078	189	9	capturing	capture	VERB
cana-5078	189	10	temporal	temporal	ADJ
cana-5078	189	11	dependencies	dependency	NOUN
cana-5078	189	12	critical	critical	ADJ
cana-5078	189	13	for	for	ADP
cana-5078	189	14	intensity	intensity	NOUN
cana-5078	189	15	changes	change	NOUN
cana-5078	189	16	.	.	PUNCT
cana-5078	190	1	gradient	gradient	ADJ
cana-5078	190	2	boosting	boost	VERB
cana-5078	190	3	machines	machine	NOUN
cana-5078	190	4	(	(	PUNCT
cana-5078	190	5	e.g.	e.g.	ADV
cana-5078	190	6	,	,	PUNCT
cana-5078	190	7	xgboost	xgboost	ADV
cana-5078	190	8	,	,	PUNCT
cana-5078	190	9	lightgbm	lightgbm	ADJ
cana-5078	190	10	)	)	PUNCT
cana-5078	190	11	are	be	AUX
cana-5078	190	12	also	also	ADV
cana-5078	190	13	widely	widely	ADV
cana-5078	190	14	used	use	VERB
cana-5078	190	15	,	,	PUNCT
cana-5078	190	16	as	as	SCONJ
cana-5078	190	17	they	they	PRON
cana-5078	190	18	excel	excel	VERB
cana-5078	190	19	with	with	ADP
cana-5078	190	20	structured	structured	ADJ
cana-5078	190	21	meteorological	meteorological	ADJ
cana-5078	190	22	data	datum	NOUN
cana-5078	190	23	,	,	PUNCT
cana-5078	190	24	such	such	ADJ
cana-5078	190	25	as	as	ADP
cana-5078	190	26	wind	wind	NOUN
cana-5078	190	27	speed	speed	NOUN
cana-5078	190	28	,	,	PUNCT
cana-5078	190	29	sea	sea	NOUN
cana-5078	190	30	surface	surface	NOUN
cana-5078	190	31	temperature	temperature	NOUN
cana-5078	190	32	,	,	PUNCT
cana-5078	190	33	and	and	CCONJ
cana-5078	190	34	pressure	pressure	NOUN
cana-5078	190	35	fields	field	NOUN
cana-5078	190	36	,	,	PUNCT
cana-5078	190	37	offering	offer	VERB
cana-5078	190	38	robust	robust	ADJ
cana-5078	190	39	performance	performance	NOUN
cana-5078	190	40	even	even	ADV
cana-5078	190	41	with	with	ADP
cana-5078	190	42	relatively	relatively	ADV
cana-5078	190	43	small	small	ADJ
cana-5078	190	44	datasets	dataset	NOUN
cana-5078	190	45	.	.	PUNCT
cana-5078	191	1	random	random	ADJ
cana-5078	191	2	forests	forest	NOUN
cana-5078	191	3	(	(	PUNCT
cana-5078	191	4	rfs	rfs	PROPN
cana-5078	191	5	)	)	PUNCT
cana-5078	191	6	are	be	AUX
cana-5078	191	7	valued	value	VERB
cana-5078	191	8	for	for	ADP
cana-5078	191	9	their	their	PRON
cana-5078	191	10	reliability	reliability	NOUN
cana-5078	191	11	and	and	CCONJ
cana-5078	191	12	ability	ability	NOUN
cana-5078	191	13	to	to	PART
cana-5078	191	14	provide	provide	VERB
cana-5078	191	15	feature	feature	NOUN
cana-5078	191	16	importance	importance	NOUN
cana-5078	191	17	,	,	PUNCT
cana-5078	191	18	aiding	aid	VERB
cana-5078	191	19	interpretability	interpretability	NOUN
cana-5078	191	20	in	in	ADP
cana-5078	191	21	operational	operational	ADJ
cana-5078	191	22	forecasting	forecasting	NOUN
cana-5078	191	23	.	.	PUNCT
cana-5078	192	1	hybrid	hybrid	ADJ
cana-5078	192	2	approaches	approach	NOUN
cana-5078	192	3	that	that	PRON
cana-5078	192	4	combine	combine	VERB
cana-5078	192	5	physical	physical	ADJ
cana-5078	192	6	models	model	NOUN
cana-5078	192	7	with	with	ADP
cana-5078	192	8	machine	machine	NOUN
cana-5078	192	9	learning	learning	NOUN
cana-5078	192	10	,	,	PUNCT
cana-5078	192	11	such	such	ADJ
cana-5078	192	12	as	as	ADP
cana-5078	192	13	using	use	VERB
cana-5078	192	14	machine	machine	NOUN
cana-5078	192	15	learning	learn	VERB
cana-5078	192	16	to	to	PART
cana-5078	192	17	refine	refine	VERB
cana-5078	192	18	outputs	output	NOUN
cana-5078	192	19	from	from	ADP
cana-5078	192	20	numerical	numerical	ADJ
cana-5078	192	21	weather	weather	NOUN
cana-5078	192	22	prediction	prediction	NOUN
cana-5078	192	23	models	model	NOUN
cana-5078	192	24	,	,	PUNCT
cana-5078	192	25	have	have	AUX
cana-5078	192	26	also	also	ADV
cana-5078	192	27	shown	show	VERB
cana-5078	192	28	promise	promise	NOUN
cana-5078	192	29	.	.	PUNCT
cana-5078	193	1	ultimately	ultimately	ADV
cana-5078	193	2	,	,	PUNCT
cana-5078	193	3	the	the	DET
cana-5078	193	4	most	most	ADV
cana-5078	193	5	accurate	accurate	ADJ
cana-5078	193	6	technique	technique	NOUN
cana-5078	193	7	often	often	ADV
cana-5078	193	8	involves	involve	VERB
cana-5078	193	9	an	an	DET
cana-5078	193	10	ensemble	ensemble	ADJ
cana-5078	193	11	approach	approach	NOUN
cana-5078	193	12	that	that	PRON
cana-5078	193	13	leverages	leverage	VERB
cana-5078	193	14	the	the	DET
cana-5078	193	15	strengths	strength	NOUN
cana-5078	193	16	of	of	ADP
cana-5078	193	17	multiple	multiple	ADJ
cana-5078	193	18	methods	method	NOUN
cana-5078	193	19	,	,	PUNCT
cana-5078	193	20	optimizing	optimize	VERB
cana-5078	193	21	predictions	prediction	NOUN
cana-5078	193	22	by	by	ADP
cana-5078	193	23	combining	combine	VERB
cana-5078	193	24	their	their	PRON
cana-5078	193	25	outputs	output	NOUN
cana-5078	193	26	.	.	PUNCT
cana-5078	194	1	rq3	rq3	NOUN
cana-5078	194	2	:	:	PUNCT
cana-5078	194	3	what	what	PRON
cana-5078	194	4	are	be	AUX
cana-5078	194	5	the	the	DET
cana-5078	194	6	current	current	ADJ
cana-5078	194	7	limitations	limitation	NOUN
cana-5078	194	8	and	and	CCONJ
cana-5078	194	9	challenges	challenge	NOUN
cana-5078	194	10	in	in	ADP
cana-5078	194	11	applying	apply	VERB
cana-5078	194	12	machine	machine	NOUN
cana-5078	194	13	learning	learning	NOUN
cana-5078	194	14	to	to	ADP
cana-5078	194	15	hurricane	hurricane	NOUN
cana-5078	194	16	forecasting	forecasting	NOUN
cana-5078	194	17	?	?	PUNCT
cana-5078	195	1	applying	apply	VERB
cana-5078	195	2	machine	machine	NOUN
cana-5078	195	3	learning	learning	NOUN
cana-5078	195	4	(	(	PUNCT
cana-5078	195	5	ml	ml	NOUN
cana-5078	195	6	)	)	PUNCT
cana-5078	195	7	to	to	ADP
cana-5078	195	8	hurricane	hurricane	NOUN
cana-5078	195	9	forecasting	forecasting	NOUN
cana-5078	195	10	presents	present	VERB
cana-5078	195	11	several	several	ADJ
cana-5078	195	12	limitations	limitation	NOUN
cana-5078	195	13	and	and	CCONJ
cana-5078	195	14	challenges	challenge	NOUN
cana-5078	195	15	,	,	PUNCT
cana-5078	195	16	ranging	range	VERB
cana-5078	195	17	from	from	ADP
cana-5078	195	18	data	datum	NOUN
cana-5078	195	19	availability	availability	NOUN
cana-5078	195	20	to	to	PART
cana-5078	195	21	model	model	VERB
cana-5078	195	22	interpretability	interpretability	NOUN
cana-5078	195	23	.	.	PUNCT
cana-5078	196	1	a	a	DET
cana-5078	196	2	significant	significant	ADJ
cana-5078	196	3	limitation	limitation	NOUN
cana-5078	196	4	is	be	AUX
cana-5078	196	5	the	the	DET
cana-5078	196	6	quality	quality	NOUN
cana-5078	196	7	and	and	CCONJ
cana-5078	196	8	quantity	quantity	NOUN
cana-5078	196	9	of	of	ADP
cana-5078	196	10	data	datum	NOUN
cana-5078	196	11	,	,	PUNCT
cana-5078	196	12	as	as	SCONJ
cana-5078	196	13	hurricanes	hurricane	NOUN
cana-5078	196	14	are	be	AUX
cana-5078	196	15	rare	rare	ADJ
cana-5078	196	16	events	event	NOUN
cana-5078	196	17	,	,	PUNCT
cana-5078	196	18	and	and	CCONJ
cana-5078	196	19	historical	historical	ADJ
cana-5078	196	20	datasets	dataset	NOUN
cana-5078	196	21	may	may	AUX
cana-5078	196	22	be	be	AUX
cana-5078	196	23	insufficient	insufficient	ADJ
cana-5078	196	24	to	to	PART
cana-5078	196	25	train	train	VERB
cana-5078	196	26	complex	complex	ADJ
cana-5078	196	27	models	model	NOUN
cana-5078	196	28	effectively	effectively	ADV
cana-5078	196	29	.	.	PUNCT
cana-5078	197	1	additionally	additionally	ADV
cana-5078	197	2	,	,	PUNCT
cana-5078	197	3	these	these	DET
cana-5078	197	4	datasets	dataset	NOUN
cana-5078	197	5	often	often	ADV
cana-5078	197	6	lack	lack	VERB
cana-5078	197	7	uniformity	uniformity	NOUN
cana-5078	197	8	,	,	PUNCT
cana-5078	197	9	with	with	ADP
cana-5078	197	10	missing	missing	ADJ
cana-5078	197	11	or	or	CCONJ
cana-5078	197	12	inconsistent	inconsistent	ADJ
cana-5078	197	13	measurements	measurement	NOUN
cana-5078	197	14	across	across	ADP
cana-5078	197	15	variables	variable	NOUN
cana-5078	197	16	like	like	ADP
cana-5078	197	17	wind	wind	NOUN
cana-5078	197	18	speed	speed	NOUN
cana-5078	197	19	,	,	PUNCT
cana-5078	197	20	sea	sea	NOUN
cana-5078	197	21	surface	surface	NOUN
cana-5078	197	22	temperature	temperature	NOUN
cana-5078	197	23	,	,	PUNCT
cana-5078	197	24	and	and	CCONJ
cana-5078	197	25	atmospheric	atmospheric	ADJ
cana-5078	197	26	pressure	pressure	NOUN
cana-5078	197	27	.	.	PUNCT
cana-5078	198	1	spatial	spatial	ADJ
cana-5078	198	2	and	and	CCONJ
cana-5078	198	3	temporal	temporal	ADJ
cana-5078	198	4	resolution	resolution	NOUN
cana-5078	198	5	is	be	AUX
cana-5078	198	6	another	another	DET
cana-5078	198	7	challenge	challenge	NOUN
cana-5078	198	8	,	,	PUNCT
cana-5078	198	9	as	as	SCONJ
cana-5078	198	10	ml	ml	NOUN
cana-5078	198	11	models	model	NOUN
cana-5078	198	12	require	require	VERB
cana-5078	198	13	high	high	ADJ
cana-5078	198	14	-	-	PUNCT
cana-5078	198	15	resolution	resolution	NOUN
cana-5078	198	16	data	datum	NOUN
cana-5078	198	17	to	to	PART
cana-5078	198	18	accurately	accurately	ADV
cana-5078	198	19	capture	capture	VERB
cana-5078	198	20	the	the	DET
cana-5078	198	21	fine	fine	ADJ
cana-5078	198	22	-	-	PUNCT
cana-5078	198	23	scale	scale	NOUN
cana-5078	198	24	processes	process	NOUN
cana-5078	198	25	that	that	PRON
cana-5078	198	26	influence	influence	VERB
cana-5078	198	27	hurricane	hurricane	NOUN
cana-5078	198	28	behaviour	behaviour	NOUN
cana-5078	198	29	,	,	PUNCT
cana-5078	198	30	but	but	CCONJ
cana-5078	198	31	such	such	ADJ
cana-5078	198	32	data	datum	NOUN
cana-5078	198	33	can	can	AUX
cana-5078	198	34	be	be	AUX
cana-5078	198	35	computationally	computationally	ADV
cana-5078	198	36	expensive	expensive	ADJ
cana-5078	198	37	to	to	PART
cana-5078	198	38	process	process	VERB
cana-5078	198	39	.	.	PUNCT
cana-5078	199	1	another	another	DET
cana-5078	199	2	critical	critical	ADJ
cana-5078	199	3	issue	issue	NOUN
cana-5078	199	4	is	be	AUX
cana-5078	199	5	generalization	generalization	NOUN
cana-5078	199	6	,	,	PUNCT
cana-5078	199	7	where	where	SCONJ
cana-5078	199	8	models	model	NOUN
cana-5078	199	9	trained	train	VERB
cana-5078	199	10	on	on	ADP
cana-5078	199	11	past	past	ADJ
cana-5078	199	12	hurricanes	hurricane	NOUN
cana-5078	199	13	may	may	AUX
cana-5078	199	14	struggle	struggle	VERB
cana-5078	199	15	to	to	PART
cana-5078	199	16	predict	predict	VERB
cana-5078	199	17	new	new	ADJ
cana-5078	199	18	ones	one	NOUN
cana-5078	199	19	under	under	ADP
cana-5078	199	20	changing	change	VERB
cana-5078	199	21	climate	climate	NOUN
cana-5078	199	22	conditions	condition	NOUN
cana-5078	199	23	or	or	CCONJ
cana-5078	199	24	in	in	ADP
cana-5078	199	25	regions	region	NOUN
cana-5078	199	26	with	with	ADP
cana-5078	199	27	limited	limited	ADJ
cana-5078	199	28	historical	historical	ADJ
cana-5078	199	29	data	datum	NOUN
cana-5078	199	30	.	.	PUNCT
cana-5078	200	1	interpretability	interpretability	NOUN
cana-5078	200	2	of	of	ADP
cana-5078	200	3	ml	ml	NOUN
cana-5078	200	4	models	model	NOUN
cana-5078	200	5	is	be	AUX
cana-5078	200	6	also	also	ADV
cana-5078	200	7	a	a	DET
cana-5078	200	8	concern	concern	NOUN
cana-5078	200	9	,	,	PUNCT
cana-5078	200	10	as	as	SCONJ
cana-5078	200	11	many	many	ADJ
cana-5078	200	12	algorithms	algorithm	NOUN
cana-5078	200	13	,	,	PUNCT
cana-5078	200	14	particularly	particularly	ADV
cana-5078	200	15	deep	deep	ADJ
cana-5078	200	16	learning	learning	NOUN
cana-5078	200	17	,	,	PUNCT
cana-5078	200	18	operate	operate	VERB
cana-5078	200	19	as	as	ADP
cana-5078	200	20	"	"	PUNCT
cana-5078	200	21	black	black	ADJ
cana-5078	200	22	boxes	box	NOUN
cana-5078	200	23	,	,	PUNCT
cana-5078	200	24	"	"	PUNCT
cana-5078	200	25	making	make	VERB
cana-5078	200	26	it	it	PRON
cana-5078	200	27	difficult	difficult	ADJ
cana-5078	200	28	to	to	PART
cana-5078	200	29	understand	understand	VERB
cana-5078	200	30	the	the	DET
cana-5078	200	31	reasoning	reasoning	NOUN
cana-5078	200	32	behind	behind	ADP
cana-5078	200	33	predictions	prediction	NOUN
cana-5078	200	34	—	—	PUNCT
cana-5078	200	35	a	a	DET
cana-5078	200	36	limitation	limitation	NOUN
cana-5078	200	37	in	in	ADP
cana-5078	200	38	operational	operational	ADJ
cana-5078	200	39	forecasting	forecasting	NOUN
cana-5078	200	40	where	where	SCONJ
cana-5078	200	41	trust	trust	NOUN
cana-5078	200	42	and	and	CCONJ
cana-5078	200	43	transparency	transparency	NOUN
cana-5078	200	44	are	be	AUX
cana-5078	200	45	vital	vital	ADJ
cana-5078	200	46	.	.	PUNCT
cana-5078	201	1	moreover	moreover	ADV
cana-5078	201	2	,	,	PUNCT
cana-5078	201	3	integration	integration	NOUN
cana-5078	201	4	with	with	ADP
cana-5078	201	5	physical	physical	ADJ
cana-5078	201	6	models	model	NOUN
cana-5078	201	7	poses	pose	VERB
cana-5078	201	8	challenges	challenge	NOUN
cana-5078	201	9	,	,	PUNCT
cana-5078	201	10	as	as	SCONJ
cana-5078	201	11	ml	ml	NOUN
cana-5078	201	12	methods	method	NOUN
cana-5078	201	13	must	must	AUX
cana-5078	201	14	complement	complement	VERB
cana-5078	201	15	rather	rather	ADV
cana-5078	201	16	than	than	ADP
cana-5078	201	17	conflict	conflict	NOUN
cana-5078	201	18	with	with	ADP
cana-5078	201	19	established	establish	VERB
cana-5078	201	20	numerical	numerical	ADJ
cana-5078	201	21	weather	weather	NOUN
cana-5078	201	22	prediction	prediction	NOUN
cana-5078	201	23	models	model	NOUN
cana-5078	201	24	,	,	PUNCT
cana-5078	201	25	which	which	PRON
cana-5078	201	26	are	be	AUX
cana-5078	201	27	grounded	ground	VERB
cana-5078	201	28	in	in	ADP
cana-5078	201	29	physical	physical	ADJ
cana-5078	201	30	laws	law	NOUN
cana-5078	201	31	.	.	PUNCT
cana-5078	202	1	finally	finally	ADV
cana-5078	202	2	,	,	PUNCT
cana-5078	202	3	real	real	ADJ
cana-5078	202	4	-	-	PUNCT
cana-5078	202	5	time	time	NOUN
cana-5078	202	6	forecasting	forecasting	NOUN
cana-5078	202	7	requires	require	VERB
cana-5078	202	8	models	model	NOUN
cana-5078	202	9	that	that	PRON
cana-5078	202	10	are	be	AUX
cana-5078	202	11	computationally	computationally	ADV
cana-5078	202	12	efficient	efficient	ADJ
cana-5078	202	13	and	and	CCONJ
cana-5078	202	14	capable	capable	ADJ
cana-5078	202	15	of	of	ADP
cana-5078	202	16	providing	provide	VERB
cana-5078	202	17	predictions	prediction	NOUN
cana-5078	202	18	under	under	ADP
cana-5078	202	19	tight	tight	ADJ
cana-5078	202	20	time	time	NOUN
cana-5078	202	21	constraints	constraint	NOUN
cana-5078	202	22	,	,	PUNCT
cana-5078	202	23	which	which	PRON
cana-5078	202	24	is	be	AUX
cana-5078	202	25	a	a	DET
cana-5078	202	26	barrier	barrier	NOUN
cana-5078	202	27	for	for	ADP
cana-5078	202	28	resource	resource	NOUN
cana-5078	202	29	-	-	PUNCT
cana-5078	202	30	intensive	intensive	ADJ
cana-5078	202	31	algorithms	algorithm	NOUN
cana-5078	202	32	like	like	ADP
cana-5078	202	33	deep	deep	ADJ
cana-5078	202	34	neural	neural	ADJ
cana-5078	202	35	networks	network	NOUN
cana-5078	202	36	.	.	PUNCT
cana-5078	203	1	addressing	address	VERB
cana-5078	203	2	these	these	DET
cana-5078	203	3	challenges	challenge	NOUN
cana-5078	203	4	is	be	AUX
cana-5078	203	5	critical	critical	ADJ
cana-5078	203	6	to	to	ADP
cana-5078	203	7	fully	fully	ADV
cana-5078	203	8	realizing	realize	VERB
cana-5078	203	9	the	the	DET
cana-5078	203	10	potential	potential	NOUN
cana-5078	203	11	of	of	ADP
cana-5078	203	12	ml	ml	NOUN
cana-5078	203	13	in	in	ADP
cana-5078	203	14	improving	improve	VERB
cana-5078	203	15	hurricane	hurricane	NOUN
cana-5078	203	16	forecasting	forecasting	NOUN
cana-5078	203	17	accuracy	accuracy	NOUN
cana-5078	203	18	and	and	CCONJ
cana-5078	203	19	reliability	reliability	NOUN
cana-5078	203	20	.	.	PUNCT
cana-5078	204	1	8	8	X
cana-5078	204	2	.	.	X
cana-5078	204	3	conclusion	conclusion	NOUN
cana-5078	204	4	communications	communication	NOUN
cana-5078	204	5	on	on	ADP
cana-5078	204	6	applied	apply	VERB
cana-5078	204	7	nonlinear	nonlinear	ADJ
cana-5078	204	8	analysis	analysis	NOUN
cana-5078	204	9	issn	issn	NOUN
cana-5078	204	10	:	:	PUNCT
cana-5078	204	11	1074	1074	NUM
cana-5078	204	12	-	-	PUNCT
cana-5078	204	13	133x	133x	NUM
cana-5078	204	14	vol	vol	NOUN
cana-5078	204	15	32	32	NUM
cana-5078	204	16	no	no	NOUN
cana-5078	204	17	.	.	PUNCT
cana-5078	205	1	icmasd	icmasd	NOUN
cana-5078	205	2	(	(	PUNCT
cana-5078	205	3	2025	2025	NUM
cana-5078	205	4	)	)	PUNCT
cana-5078	205	5	520	520	NUM
cana-5078	205	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5078	205	7	the	the	DET
cana-5078	205	8	systematic	systematic	ADJ
cana-5078	205	9	review	review	NOUN
cana-5078	205	10	on	on	ADP
cana-5078	205	11	hurricane	hurricane	NOUN
cana-5078	205	12	prediction	prediction	NOUN
cana-5078	205	13	utilizing	utilize	VERB
cana-5078	205	14	machine	machine	NOUN
cana-5078	205	15	learning	learn	VERB
cana-5078	205	16	techniques	technique	NOUN
cana-5078	205	17	reveals	reveal	VERB
cana-5078	205	18	significant	significant	ADJ
cana-5078	205	19	advancements	advancement	NOUN
cana-5078	205	20	in	in	ADP
cana-5078	205	21	forecasting	forecasting	NOUN
cana-5078	205	22	capabilities	capability	NOUN
cana-5078	205	23	.	.	PUNCT
cana-5078	206	1	machine	machine	NOUN
cana-5078	206	2	learning	learn	VERB
cana-5078	206	3	algorithms	algorithm	NOUN
cana-5078	206	4	,	,	PUNCT
cana-5078	206	5	including	include	VERB
cana-5078	206	6	neural	neural	ADJ
cana-5078	206	7	networks	network	NOUN
cana-5078	206	8	,	,	PUNCT
cana-5078	206	9	random	random	ADJ
cana-5078	206	10	forests	forest	NOUN
cana-5078	206	11	,	,	PUNCT
cana-5078	206	12	and	and	CCONJ
cana-5078	206	13	support	support	VERB
cana-5078	206	14	vector	vector	NOUN
cana-5078	206	15	machines	machine	NOUN
cana-5078	206	16	,	,	PUNCT
cana-5078	206	17	demonstrate	demonstrate	VERB
cana-5078	206	18	remarkable	remarkable	ADJ
cana-5078	206	19	potential	potential	NOUN
cana-5078	206	20	in	in	ADP
cana-5078	206	21	enhancing	enhance	VERB
cana-5078	206	22	hurricane	hurricane	NOUN
cana-5078	206	23	trajectory	trajectory	NOUN
cana-5078	206	24	and	and	CCONJ
cana-5078	206	25	intensity	intensity	NOUN
cana-5078	206	26	predictions	prediction	NOUN
cana-5078	206	27	.	.	PUNCT
cana-5078	207	1	by	by	ADP
cana-5078	207	2	integrating	integrate	VERB
cana-5078	207	3	diverse	diverse	ADJ
cana-5078	207	4	data	datum	NOUN
cana-5078	207	5	sources	source	NOUN
cana-5078	207	6	such	such	ADJ
cana-5078	207	7	as	as	ADP
cana-5078	207	8	satellite	satellite	NOUN
cana-5078	207	9	imagery	imagery	NOUN
cana-5078	207	10	,	,	PUNCT
cana-5078	207	11	historical	historical	ADJ
cana-5078	207	12	hurricane	hurricane	NOUN
cana-5078	207	13	records	record	NOUN
cana-5078	207	14	,	,	PUNCT
cana-5078	207	15	and	and	CCONJ
cana-5078	207	16	climate	climate	NOUN
cana-5078	207	17	models	model	NOUN
cana-5078	207	18	,	,	PUNCT
cana-5078	207	19	researchers	researcher	NOUN
cana-5078	207	20	have	have	AUX
cana-5078	207	21	developed	develop	VERB
cana-5078	207	22	more	more	ADV
cana-5078	207	23	sophisticated	sophisticated	ADJ
cana-5078	207	24	predictive	predictive	ADJ
cana-5078	207	25	frameworks	framework	NOUN
cana-5078	207	26	that	that	PRON
cana-5078	207	27	can	can	AUX
cana-5078	207	28	potentially	potentially	ADV
cana-5078	207	29	improve	improve	VERB
cana-5078	207	30	early	early	ADJ
cana-5078	207	31	warning	warning	NOUN
cana-5078	207	32	systems	system	NOUN
cana-5078	207	33	and	and	CCONJ
cana-5078	207	34	disaster	disaster	NOUN
cana-5078	207	35	preparedness	preparedness	NOUN
cana-5078	207	36	.	.	PUNCT
cana-5078	208	1	despite	despite	SCONJ
cana-5078	208	2	challenges	challenge	NOUN
cana-5078	208	3	posed	pose	VERB
cana-5078	208	4	by	by	ADP
cana-5078	208	5	the	the	DET
cana-5078	208	6	complex	complex	ADJ
cana-5078	208	7	atmospheric	atmospheric	ADJ
cana-5078	208	8	dynamics	dynamic	NOUN
cana-5078	208	9	and	and	CCONJ
cana-5078	208	10	inherent	inherent	ADJ
cana-5078	208	11	variability	variability	NOUN
cana-5078	208	12	of	of	ADP
cana-5078	208	13	hurricane	hurricane	NOUN
cana-5078	208	14	behaviour	behaviour	NOUN
cana-5078	208	15	,	,	PUNCT
cana-5078	208	16	these	these	DET
cana-5078	208	17	ml	ml	ADP
cana-5078	208	18	techniques	technique	NOUN
cana-5078	208	19	offer	offer	VERB
cana-5078	208	20	promising	promise	VERB
cana-5078	208	21	insights	insight	NOUN
cana-5078	208	22	into	into	ADP
cana-5078	208	23	more	more	ADV
cana-5078	208	24	accurate	accurate	ADJ
cana-5078	208	25	and	and	CCONJ
cana-5078	208	26	timely	timely	ADJ
cana-5078	208	27	hurricane	hurricane	NOUN
cana-5078	208	28	forecasting	forecasting	NOUN
cana-5078	208	29	.	.	PUNCT
cana-5078	209	1	the	the	DET
cana-5078	209	2	research	research	NOUN
cana-5078	209	3	underscores	underscore	VERB
cana-5078	209	4	the	the	DET
cana-5078	209	5	critical	critical	ADJ
cana-5078	209	6	importance	importance	NOUN
cana-5078	209	7	of	of	ADP
cana-5078	209	8	interdisciplinary	interdisciplinary	ADJ
cana-5078	209	9	collaboration	collaboration	NOUN
cana-5078	209	10	between	between	ADP
cana-5078	209	11	meteorologists	meteorologist	NOUN
cana-5078	209	12	and	and	CCONJ
cana-5078	209	13	data	datum	NOUN
cana-5078	209	14	scientists	scientist	NOUN
cana-5078	209	15	,	,	PUNCT
cana-5078	209	16	emphasizing	emphasize	VERB
cana-5078	209	17	the	the	DET
cana-5078	209	18	need	need	NOUN
cana-5078	209	19	for	for	ADP
cana-5078	209	20	continuous	continuous	ADJ
cana-5078	209	21	model	model	NOUN
cana-5078	209	22	refinement	refinement	NOUN
cana-5078	209	23	,	,	PUNCT
cana-5078	209	24	advanced	advanced	ADJ
cana-5078	209	25	computational	computational	ADJ
cana-5078	209	26	infrastructures	infrastructure	NOUN
cana-5078	209	27	,	,	PUNCT
cana-5078	209	28	and	and	CCONJ
cana-5078	209	29	innovative	innovative	ADJ
cana-5078	209	30	approaches	approach	NOUN
cana-5078	209	31	to	to	PART
cana-5078	209	32	capture	capture	VERB
cana-5078	209	33	the	the	DET
cana-5078	209	34	intricate	intricate	ADJ
cana-5078	209	35	patterns	pattern	NOUN
cana-5078	209	36	of	of	ADP
cana-5078	209	37	hurricane	hurricane	NOUN
cana-5078	209	38	formation	formation	NOUN
cana-5078	209	39	and	and	CCONJ
cana-5078	209	40	movement	movement	NOUN
cana-5078	209	41	.	.	PUNCT
cana-5078	210	1	ultimately	ultimately	ADV
cana-5078	210	2	,	,	PUNCT
cana-5078	210	3	the	the	DET
cana-5078	210	4	systematic	systematic	ADJ
cana-5078	210	5	review	review	NOUN
cana-5078	210	6	highlights	highlight	NOUN
cana-5078	210	7	machine	machine	NOUN
cana-5078	210	8	learning	learning	NOUN
cana-5078	210	9	's	's	PART
cana-5078	210	10	transformative	transformative	ADJ
cana-5078	210	11	potential	potential	NOUN
cana-5078	210	12	in	in	ADP
cana-5078	210	13	mitigating	mitigate	VERB
cana-5078	210	14	hurricane	hurricane	NOUN
cana-5078	210	15	-	-	PUNCT
cana-5078	210	16	related	relate	VERB
cana-5078	210	17	risks	risk	NOUN
cana-5078	210	18	and	and	CCONJ
cana-5078	210	19	advancing	advance	VERB
cana-5078	210	20	our	our	PRON
cana-5078	210	21	understanding	understanding	NOUN
cana-5078	210	22	of	of	ADP
cana-5078	210	23	these	these	DET
cana-5078	210	24	powerful	powerful	ADJ
cana-5078	210	25	natural	natural	ADJ
cana-5078	210	26	phenomena	phenomenon	NOUN
cana-5078	210	27	.	.	PUNCT
cana-5078	211	1	9	9	X
cana-5078	211	2	.	.	X
cana-5078	211	3	references	reference	NOUN
cana-5078	211	4	:	:	PUNCT
cana-5078	212	1	[	[	X
cana-5078	212	2	1	1	NUM
cana-5078	212	3	]	]	X
cana-5078	212	4	chen	chen	PROPN
cana-5078	212	5	,	,	PUNCT
cana-5078	212	6	y.	y.	PROPN
cana-5078	212	7	et	et	PROPN
cana-5078	212	8	al	al	PROPN
cana-5078	212	9	.	.	PROPN
cana-5078	213	1	(	(	PUNCT
cana-5078	213	2	2023	2023	NUM
cana-5078	213	3	)	)	PUNCT
cana-5078	213	4	“	"	PUNCT
cana-5078	213	5	influences	influence	NOUN
cana-5078	213	6	of	of	ADP
cana-5078	213	7	mjo	mjo	NOUN
cana-5078	213	8	-	-	PUNCT
cana-5078	213	9	induced	induce	VERB
cana-5078	213	10	tropical	tropical	ADJ
cana-5078	213	11	cyclones	cyclone	NOUN
cana-5078	213	12	on	on	ADP
cana-5078	213	13	the	the	DET
cana-5078	213	14	circulationconvection	circulationconvection	NOUN
cana-5078	213	15	inconsistency	inconsistency	NOUN
cana-5078	213	16	for	for	ADP
cana-5078	213	17	the	the	DET
cana-5078	213	18	2021	2021	NUM
cana-5078	213	19	south	south	PROPN
cana-5078	213	20	china	china	PROPN
cana-5078	213	21	sea	sea	PROPN
cana-5078	213	22	summer	summer	PROPN
cana-5078	213	23	monsoon	monsoon	NOUN
cana-5078	213	24	onset	onset	NOUN
cana-5078	213	25	,	,	PUNCT
cana-5078	213	26	”	"	PUNCT
cana-5078	213	27	advances	advance	NOUN
cana-5078	213	28	in	in	ADP
cana-5078	213	29	atmospheric	atmospheric	ADJ
cana-5078	213	30	sciences	science	NOUN
cana-5078	213	31	,	,	PUNCT
cana-5078	213	32	40(2	40(2	NUM
cana-5078	213	33	)	)	PUNCT
cana-5078	213	34	.	.	PUNCT
cana-5078	214	1	available	available	ADJ
cana-5078	214	2	at	at	ADP
cana-5078	214	3	:	:	PUNCT
cana-5078	214	4	https://doi.org/10.1007/s00376-022-2103-5	https://doi.org/10.1007/s00376-022-2103-5	NUM
cana-5078	214	5	.	.	PUNCT
cana-5078	215	1	[	[	X
cana-5078	215	2	2	2	NUM
cana-5078	215	3	]	]	X
cana-5078	215	4	gile	gile	PROPN
cana-5078	215	5	,	,	PUNCT
cana-5078	215	6	r.p	r.p	PROPN
cana-5078	215	7	.	.	PROPN
cana-5078	215	8	et	et	PROPN
cana-5078	215	9	al	al	PROPN
cana-5078	215	10	.	.	PROPN
cana-5078	215	11	(	(	PUNCT
cana-5078	215	12	2021	2021	NUM
cana-5078	215	13	)	)	PUNCT
cana-5078	215	14	“	"	PUNCT
cana-5078	215	15	application	application	NOUN
cana-5078	215	16	of	of	ADP
cana-5078	215	17	weighted	weight	VERB
cana-5078	215	18	analog	analog	NOUN
cana-5078	215	19	intensity	intensity	NOUN
cana-5078	215	20	prediction	prediction	NOUN
cana-5078	215	21	(	(	PUNCT
cana-5078	215	22	waip	waip	NOUN
cana-5078	215	23	)	)	PUNCT
cana-5078	215	24	guidance	guidance	NOUN
cana-5078	215	25	on	on	ADP
cana-5078	215	26	philippine	philippine	ADJ
cana-5078	215	27	tropical	tropical	ADJ
cana-5078	215	28	cyclone	cyclone	NOUN
cana-5078	215	29	events	event	NOUN
cana-5078	215	30	,	,	PUNCT
cana-5078	215	31	”	"	PUNCT
cana-5078	215	32	terrestrial	terrestrial	ADJ
cana-5078	215	33	,	,	PUNCT
cana-5078	215	34	atmospheric	atmospheric	ADJ
cana-5078	215	35	and	and	CCONJ
cana-5078	215	36	oceanic	oceanic	ADJ
cana-5078	215	37	sciences	sciences	PROPN
cana-5078	215	38	,	,	PUNCT
cana-5078	215	39	32(5	32(5	NOUN
cana-5078	215	40	)	)	PUNCT
cana-5078	215	41	.	.	PUNCT
cana-5078	216	1	available	available	ADJ
cana-5078	216	2	at	at	ADP
cana-5078	216	3	:	:	PUNCT
cana-5078	216	4	https://doi.org/10.3319/tao.2021.03.03.01	https://doi.org/10.3319/tao.2021.03.03.01	NOUN
cana-5078	216	5	.	.	PUNCT
cana-5078	217	1	[	[	X
cana-5078	217	2	3	3	NUM
cana-5078	217	3	]	]	X
cana-5078	217	4	ho	ho	PROPN
cana-5078	217	5	,	,	PUNCT
cana-5078	217	6	c.h	c.h	PROPN
cana-5078	217	7	.	.	PROPN
cana-5078	217	8	et	et	PROPN
cana-5078	217	9	al	al	PROPN
cana-5078	217	10	.	.	PROPN
cana-5078	218	1	(	(	PUNCT
cana-5078	218	2	2024	2024	NUM
cana-5078	218	3	)	)	PUNCT
cana-5078	218	4	“	"	PUNCT
cana-5078	218	5	geostationary	geostationary	ADJ
cana-5078	218	6	satellite	satellite	NOUN
cana-5078	218	7	–	–	PUNCT
cana-5078	218	8	derived	derived	ADJ
cana-5078	218	9	positioning	positioning	NOUN
cana-5078	218	10	of	of	ADP
cana-5078	218	11	a	a	DET
cana-5078	218	12	tropical	tropical	ADJ
cana-5078	218	13	cyclone	cyclone	NOUN
cana-5078	218	14	center	center	NOUN
cana-5078	218	15	using	use	VERB
cana-5078	218	16	artificial	artificial	ADJ
cana-5078	218	17	intelligence	intelligence	NOUN
cana-5078	218	18	algorithms	algorithm	NOUN
cana-5078	218	19	over	over	ADP
cana-5078	218	20	the	the	DET
cana-5078	218	21	western	western	ADJ
cana-5078	218	22	north	north	PROPN
cana-5078	218	23	pacific	pacific	PROPN
cana-5078	218	24	,	,	PUNCT
cana-5078	218	25	”	"	PUNCT
cana-5078	218	26	bulletin	bulletin	NOUN
cana-5078	218	27	of	of	ADP
cana-5078	218	28	the	the	DET
cana-5078	218	29	american	american	ADJ
cana-5078	218	30	meteorological	meteorological	ADJ
cana-5078	218	31	society	society	NOUN
cana-5078	218	32	,	,	PUNCT
cana-5078	218	33	105(3	105(3	NUM
cana-5078	218	34	)	)	PUNCT
cana-5078	218	35	.	.	PUNCT
cana-5078	219	1	available	available	ADJ
cana-5078	219	2	at	at	ADP
cana-5078	219	3	:	:	PUNCT
cana-5078	219	4	https://doi.org/10.1175/bams-d-23-0130.1	https://doi.org/10.1175/bams-d-23-0130.1	PROPN
cana-5078	219	5	.	.	PUNCT
cana-5078	220	1	[	[	X
cana-5078	220	2	4	4	NUM
cana-5078	220	3	]	]	X
cana-5078	220	4	jiang	jiang	PROPN
cana-5078	220	5	,	,	PUNCT
cana-5078	220	6	w.	w.	PROPN
cana-5078	220	7	et	et	PROPN
cana-5078	220	8	al	al	PROPN
cana-5078	220	9	.	.	PROPN
cana-5078	220	10	(	(	PUNCT
cana-5078	220	11	2023	2023	NUM
cana-5078	220	12	)	)	PUNCT
cana-5078	220	13	“	"	PUNCT
cana-5078	220	14	transformer	transformer	NOUN
cana-5078	220	15	-	-	PUNCT
cana-5078	220	16	based	base	VERB
cana-5078	220	17	tropical	tropical	ADJ
cana-5078	220	18	cyclone	cyclone	NOUN
cana-5078	220	19	track	track	NOUN
cana-5078	220	20	and	and	CCONJ
cana-5078	220	21	intensity	intensity	NOUN
cana-5078	220	22	forecasting	forecasting	NOUN
cana-5078	220	23	,	,	PUNCT
cana-5078	220	24	”	"	PUNCT
cana-5078	220	25	journal	journal	NOUN
cana-5078	220	26	of	of	ADP
cana-5078	220	27	wind	wind	NOUN
cana-5078	220	28	engineering	engineering	NOUN
cana-5078	220	29	and	and	CCONJ
cana-5078	220	30	industrial	industrial	ADJ
cana-5078	220	31	aerodynamics	aerodynamic	NOUN
cana-5078	220	32	,	,	PUNCT
cana-5078	220	33	238	238	NUM
cana-5078	220	34	.	.	PUNCT
cana-5078	220	35	available	available	ADJ
cana-5078	220	36	at	at	ADP
cana-5078	220	37	:	:	PUNCT
cana-5078	220	38	https://doi.org/10.1016/j.jweia.2023.105440	https://doi.org/10.1016/j.jweia.2023.105440	ADJ
cana-5078	220	39	.	.	PUNCT
cana-5078	221	1	[	[	X
cana-5078	221	2	5	5	NUM
cana-5078	221	3	]	]	PUNCT
cana-5078	221	4	matsuoka	matsuoka	NOUN
cana-5078	221	5	,	,	PUNCT
cana-5078	221	6	d.	d.	PROPN
cana-5078	221	7	et	et	PROPN
cana-5078	221	8	al	al	PROPN
cana-5078	221	9	.	.	PROPN
cana-5078	222	1	(	(	PUNCT
cana-5078	222	2	2023	2023	NUM
cana-5078	222	3	)	)	PUNCT
cana-5078	222	4	“	"	PUNCT
cana-5078	222	5	tropical	tropical	ADJ
cana-5078	222	6	cyclone	cyclone	NOUN
cana-5078	222	7	dataset	dataset	VERB
cana-5078	222	8	for	for	ADP
cana-5078	222	9	a	a	DET
cana-5078	222	10	high	high	ADJ
cana-5078	222	11	-	-	PUNCT
cana-5078	222	12	resolution	resolution	NOUN
cana-5078	222	13	global	global	ADJ
cana-5078	222	14	nonhydrostatic	nonhydrostatic	ADJ
cana-5078	222	15	atmospheric	atmospheric	PROPN
cana-5078	222	16	simulation	simulation	NOUN
cana-5078	222	17	,	,	PUNCT
cana-5078	222	18	”	"	PUNCT
cana-5078	222	19	data	datum	NOUN
cana-5078	222	20	in	in	ADP
cana-5078	222	21	brief	brief	ADJ
cana-5078	222	22	,	,	PUNCT
cana-5078	222	23	48	48	NUM
cana-5078	222	24	.	.	PUNCT
cana-5078	222	25	available	available	ADJ
cana-5078	222	26	at	at	ADP
cana-5078	222	27	:	:	PUNCT
cana-5078	222	28	https://doi.org/10.1016/j.dib.2023.109135	https://doi.org/10.1016/j.dib.2023.109135	X
cana-5078	222	29	.	.	PUNCT
cana-5078	223	1	[	[	X
cana-5078	223	2	6	6	NUM
cana-5078	223	3	]	]	X
cana-5078	223	4	mercer	mercer	PROPN
cana-5078	223	5	,	,	PUNCT
cana-5078	223	6	a.	a.	NOUN
cana-5078	223	7	and	and	CCONJ
cana-5078	223	8	grimes	grimes	PROPN
cana-5078	223	9	,	,	PUNCT
cana-5078	223	10	a.	a.	NOUN
cana-5078	223	11	(	(	PUNCT
cana-5078	223	12	2017	2017	NUM
cana-5078	223	13	)	)	PUNCT
cana-5078	223	14	“	"	PUNCT
cana-5078	223	15	atlantic	atlantic	ADJ
cana-5078	223	16	tropical	tropical	ADJ
cana-5078	223	17	cyclone	cyclone	NOUN
cana-5078	223	18	rapid	rapid	ADJ
cana-5078	223	19	intensification	intensification	NOUN
cana-5078	223	20	probabilistic	probabilistic	ADJ
cana-5078	223	21	forecasts	forecast	NOUN
cana-5078	223	22	from	from	ADP
cana-5078	223	23	an	an	DET
cana-5078	223	24	ensemble	ensemble	NOUN
cana-5078	223	25	of	of	ADP
cana-5078	223	26	machine	machine	NOUN
cana-5078	223	27	learning	learning	NOUN
cana-5078	223	28	methods	method	NOUN
cana-5078	223	29	,	,	PUNCT
cana-5078	223	30	”	"	PUNCT
cana-5078	223	31	in	in	ADP
cana-5078	223	32	procedia	procedia	PROPN
cana-5078	223	33	computer	computer	NOUN
cana-5078	223	34	science	science	NOUN
cana-5078	223	35	.	.	PUNCT
cana-5078	223	36	available	available	ADJ
cana-5078	223	37	at	at	ADP
cana-5078	223	38	:	:	PUNCT
cana-5078	223	39	https://doi.org/10.1016/j.procs.2017.09.036	https://doi.org/10.1016/j.procs.2017.09.036	NUM
cana-5078	223	40	.	.	PUNCT
cana-5078	224	1	[	[	X
cana-5078	224	2	7	7	X
cana-5078	224	3	]	]	X
cana-5078	224	4	rahman	rahman	PROPN
cana-5078	224	5	,	,	PUNCT
cana-5078	224	6	s.	s.	PROPN
cana-5078	224	7	et	et	PROPN
cana-5078	224	8	al	al	PROPN
cana-5078	224	9	.	.	PROPN
cana-5078	224	10	(	(	PUNCT
cana-5078	224	11	2024	2024	NUM
cana-5078	224	12	)	)	PUNCT
cana-5078	224	13	“	"	PUNCT
cana-5078	224	14	tropical	tropical	ADJ
cana-5078	224	15	cyclone	cyclone	NOUN
cana-5078	224	16	warning	warning	NOUN
cana-5078	224	17	and	and	CCONJ
cana-5078	224	18	forecasting	forecasting	NOUN
cana-5078	224	19	system	system	NOUN
cana-5078	224	20	in	in	ADP
cana-5078	224	21	bangladesh	bangladesh	NOUN
cana-5078	224	22	:	:	PUNCT
cana-5078	224	23	challenges	challenge	NOUN
cana-5078	224	24	,	,	PUNCT
cana-5078	224	25	prospects	prospect	NOUN
cana-5078	224	26	,	,	PUNCT
cana-5078	224	27	and	and	CCONJ
cana-5078	224	28	future	future	ADJ
cana-5078	224	29	direction	direction	NOUN
cana-5078	224	30	to	to	PART
cana-5078	224	31	adopt	adopt	VERB
cana-5078	224	32	artificial	artificial	ADJ
cana-5078	224	33	intelligence	intelligence	NOUN
cana-5078	224	34	,	,	PUNCT
cana-5078	224	35	”	"	PUNCT
cana-5078	224	36	computational	computational	ADJ
cana-5078	224	37	urban	urban	ADJ
cana-5078	224	38	science	science	NOUN
cana-5078	224	39	.	.	PUNCT
cana-5078	225	1	available	available	ADJ
cana-5078	225	2	at	at	ADP
cana-5078	225	3	:	:	PUNCT
cana-5078	225	4	https://doi.org/10.1007/s43762-023-00113-x	https://doi.org/10.1007/s43762-023-00113-x	INTJ
cana-5078	225	5	.	.	PUNCT
cana-5078	226	1	[	[	X
cana-5078	226	2	8	8	NUM
cana-5078	226	3	]	]	X
cana-5078	226	4	wei	wei	PROPN
cana-5078	226	5	,	,	PUNCT
cana-5078	226	6	y.	y.	PROPN
cana-5078	226	7	and	and	CCONJ
cana-5078	226	8	yang	yang	PROPN
cana-5078	226	9	,	,	PUNCT
cana-5078	226	10	r.	r.	PROPN
cana-5078	226	11	(	(	PUNCT
cana-5078	226	12	2021	2021	NUM
cana-5078	226	13	)	)	PUNCT
cana-5078	226	14	“	"	PUNCT
cana-5078	226	15	an	an	DET
cana-5078	226	16	advanced	advanced	ADJ
cana-5078	226	17	artificial	artificial	ADJ
cana-5078	226	18	intelligence	intelligence	NOUN
cana-5078	226	19	system	system	NOUN
cana-5078	226	20	for	for	ADP
cana-5078	226	21	investigating	investigate	VERB
cana-5078	226	22	tropical	tropical	ADJ
cana-5078	226	23	cyclone	cyclone	NOUN
cana-5078	226	24	rapid	rapid	ADJ
cana-5078	226	25	intensification	intensification	NOUN
cana-5078	226	26	with	with	ADP
cana-5078	226	27	the	the	DET
cana-5078	226	28	ships	ship	NOUN
cana-5078	226	29	database	database	NOUN
cana-5078	226	30	,	,	PUNCT
cana-5078	226	31	”	"	PUNCT
cana-5078	226	32	atmosphere	atmosphere	NOUN
cana-5078	226	33	,	,	PUNCT
cana-5078	226	34	12(4	12(4	NUM
cana-5078	226	35	)	)	PUNCT
cana-5078	226	36	.	.	PUNCT
cana-5078	227	1	available	available	ADJ
cana-5078	227	2	at	at	ADP
cana-5078	227	3	:	:	PUNCT
cana-5078	227	4	https://doi.org/10.3390/atmos12040484	https://doi.org/10.3390/atmos12040484	NOUN
cana-5078	227	5	.	.	PUNCT
cana-5078	228	1	[	[	X
cana-5078	228	2	9	9	NUM
cana-5078	228	3	]	]	SYM
cana-5078	228	4	xu	xu	PROPN
cana-5078	228	5	,	,	PUNCT
cana-5078	228	6	r.	r.	PROPN
cana-5078	228	7	et	et	PROPN
cana-5078	228	8	al	al	PROPN
cana-5078	228	9	.	.	PROPN
cana-5078	229	1	(	(	PUNCT
cana-5078	229	2	2023	2023	NUM
cana-5078	229	3	)	)	PUNCT
cana-5078	229	4	“	"	PUNCT
cana-5078	229	5	estimating	estimate	VERB
cana-5078	229	6	hurricane	hurricane	NOUN
cana-5078	229	7	intensity	intensity	NOUN
cana-5078	229	8	from	from	ADP
cana-5078	229	9	satellite	satellite	NOUN
cana-5078	229	10	imagery	imagery	NOUN
cana-5078	229	11	using	use	VERB
cana-5078	229	12	deep	deep	ADJ
cana-5078	229	13	cnns	cnns	ADJ
cana-5078	229	14	networks	network	NOUN
cana-5078	229	15	,	,	PUNCT
cana-5078	229	16	”	"	PUNCT
cana-5078	229	17	in	in	ADP
cana-5078	229	18	2023	2023	NUM
cana-5078	229	19	ieee	ieee	NOUN
cana-5078	229	20	2nd	2nd	PROPN
cana-5078	229	21	international	international	ADJ
cana-5078	229	22	conference	conference	NOUN
cana-5078	229	23	on	on	ADP
cana-5078	229	24	electrical	electrical	ADJ
cana-5078	229	25	engineering	engineering	NOUN
cana-5078	229	26	,	,	PUNCT
cana-5078	229	27	big	big	ADJ
cana-5078	229	28	data	datum	NOUN
cana-5078	229	29	and	and	CCONJ
cana-5078	229	30	algorithms	algorithm	NOUN
cana-5078	229	31	,	,	PUNCT
cana-5078	229	32	eebda	eebda	ADJ
cana-5078	229	33	2023	2023	NUM
cana-5078	229	34	.	.	PUNCT
cana-5078	230	1	available	available	ADJ
cana-5078	230	2	at	at	ADP
cana-5078	230	3	:	:	PUNCT
cana-5078	230	4	https://doi.org/10.1109/eebda56825.2023.10090706	https://doi.org/10.1109/eebda56825.2023.10090706	PROPN
cana-5078	230	5	.	.	PROPN
cana-5078	230	6	https://doi.org/10.1109/eebda56825.2023.10090706	https://doi.org/10.1109/eebda56825.2023.10090706	PROPN