id	sid	tid	token	lemma	pos
fcis-31302	1	1	frontiers	frontier	NOUN
fcis-31302	1	2	in	in	ADP
fcis-31302	1	3	computing	computing	NOUN
fcis-31302	1	4	and	and	CCONJ
fcis-31302	1	5	intelligent	intelligent	ADJ
fcis-31302	1	6	systems	system	NOUN
fcis-31302	1	7	issn	issn	VERB
fcis-31302	1	8	:	:	PUNCT
fcis-31302	1	9	2832	2832	NUM
fcis-31302	1	10	-	-	SYM
fcis-31302	1	11	6024	6024	NUM
fcis-31302	1	12	|	|	NOUN
fcis-31302	1	13	vol	vol	NOUN
fcis-31302	1	14	.	.	PROPN
fcis-31302	2	1	13	13	NUM
fcis-31302	2	2	,	,	PUNCT
fcis-31302	2	3	no	no	INTJ
fcis-31302	2	4	.	.	NOUN
fcis-31302	2	5	1	1	NUM
fcis-31302	2	6	,	,	PUNCT
fcis-31302	2	7	2025	2025	NUM
fcis-31302	2	8	1	1	NUM
fcis-31302	2	9	review	review	NOUN
fcis-31302	2	10	of	of	ADP
fcis-31302	2	11	real‐time	real‐time	NOUN
fcis-31302	2	12	monitoring	monitoring	NOUN
fcis-31302	2	13	and	and	CCONJ
fcis-31302	2	14	early	early	ADJ
fcis-31302	2	15	warning	warning	NOUN
fcis-31302	2	16	technology	technology	NOUN
fcis-31302	2	17	for	for	ADP
fcis-31302	2	18	natural	natural	ADJ
fcis-31302	2	19	disasters	disaster	NOUN
fcis-31302	2	20	based	base	VERB
fcis-31302	2	21	on	on	ADP
fcis-31302	2	22	multimodal	multimodal	NOUN
fcis-31302	2	23	information	information	NOUN
fcis-31302	2	24	fusion	fusion	NOUN
fcis-31302	2	25	dafeng	dafeng	NOUN
fcis-31302	2	26	gong	gong	PROPN
fcis-31302	2	27	1	1	NUM
fcis-31302	2	28	,	,	PUNCT
fcis-31302	2	29	linggui	linggui	NOUN
fcis-31302	2	30	meng	meng	PROPN
fcis-31302	2	31	2	2	NUM
fcis-31302	2	32	,	,	PUNCT
fcis-31302	2	33	wanle	wanle	NOUN
fcis-31302	2	34	chi	chi	PROPN
fcis-31302	2	35	3	3	NUM
fcis-31302	2	36	,	,	PUNCT
fcis-31302	2	37	aichun	aichun	PROPN
fcis-31302	2	38	lin	lin	PROPN
fcis-31302	2	39	2	2	NUM
fcis-31302	2	40	,	,	PUNCT
fcis-31302	2	41	*	*	PUNCT
fcis-31302	2	42	and	and	CCONJ
fcis-31302	2	43	lili	lili	PROPN
fcis-31302	2	44	shi	shi	PROPN
fcis-31302	2	45	3	3	NUM
fcis-31302	2	46	1	1	NUM
fcis-31302	2	47	school	school	NOUN
fcis-31302	2	48	of	of	ADP
fcis-31302	2	49	intelligent	intelligent	ADJ
fcis-31302	2	50	manufacturing	manufacturing	NOUN
fcis-31302	2	51	,	,	PUNCT
fcis-31302	2	52	wenzhou	wenzhou	PROPN
fcis-31302	2	53	polytechnic	polytechnic	PROPN
fcis-31302	2	54	,	,	PUNCT
fcis-31302	2	55	chashan	chashan	ADV
fcis-31302	2	56	higher	high	ADJ
fcis-31302	2	57	education	education	NOUN
fcis-31302	2	58	park	park	NOUN
fcis-31302	2	59	,	,	PUNCT
fcis-31302	2	60	wenzhou	wenzhou	PROPN
fcis-31302	2	61	,	,	PUNCT
fcis-31302	2	62	zhejiang	zhejiang	PROPN
fcis-31302	2	63	province	province	PROPN
fcis-31302	2	64	,	,	PUNCT
fcis-31302	2	65	china	china	PROPN
fcis-31302	2	66	2	2	NUM
fcis-31302	2	67	huizhi	huizhi	PROPN
fcis-31302	2	68	intelligent	intelligent	ADJ
fcis-31302	2	69	technology	technology	PROPN
fcis-31302	2	70	co.	co.	PROPN
fcis-31302	2	71	,	,	PUNCT
fcis-31302	2	72	ltd	ltd	PROPN
fcis-31302	2	73	,	,	PUNCT
fcis-31302	2	74	room	room	NOUN
fcis-31302	2	75	302	302	NUM
fcis-31302	2	76	,	,	PUNCT
fcis-31302	2	77	no	no	NOUN
fcis-31302	2	78	.	.	NOUN
fcis-31302	2	79	12	12	NUM
fcis-31302	2	80	luohe	luohe	NOUN
fcis-31302	2	81	road	road	NOUN
fcis-31302	2	82	,	,	PUNCT
fcis-31302	2	83	lucheng	lucheng	PROPN
fcis-31302	2	84	district	district	PROPN
fcis-31302	2	85	,	,	PUNCT
fcis-31302	2	86	wenzhou	wenzhou	PROPN
fcis-31302	2	87	city	city	PROPN
fcis-31302	2	88	,	,	PUNCT
fcis-31302	2	89	zhejiang	zhejiang	PROPN
fcis-31302	2	90	province	province	PROPN
fcis-31302	2	91	,	,	PUNCT
fcis-31302	2	92	china	china	PROPN
fcis-31302	2	93	3	3	NUM
fcis-31302	2	94	school	school	NOUN
fcis-31302	2	95	of	of	ADP
fcis-31302	2	96	artificial	artificial	ADJ
fcis-31302	2	97	intelligence	intelligence	NOUN
fcis-31302	2	98	,	,	PUNCT
fcis-31302	2	99	wenzhou	wenzhou	PROPN
fcis-31302	2	100	polytechnic	polytechnic	PROPN
fcis-31302	2	101	,	,	PUNCT
fcis-31302	2	102	chashan	chashan	ADV
fcis-31302	2	103	higher	high	ADJ
fcis-31302	2	104	education	education	NOUN
fcis-31302	2	105	park	park	NOUN
fcis-31302	2	106	,	,	PUNCT
fcis-31302	2	107	wenzhou	wenzhou	PROPN
fcis-31302	2	108	,	,	PUNCT
fcis-31302	2	109	zhejiang	zhejiang	PROPN
fcis-31302	2	110	province	province	PROPN
fcis-31302	2	111	,	,	PUNCT
fcis-31302	2	112	china	china	PROPN
fcis-31302	2	113	*	*	PUNCT
fcis-31302	2	114	corresponding	correspond	VERB
fcis-31302	2	115	author	author	NOUN
fcis-31302	2	116	.	.	PUNCT
fcis-31302	3	1	aichun	aichun	PROPN
fcis-31302	3	2	lin	lin	PROPN
fcis-31302	3	3	(	(	PUNCT
fcis-31302	3	4	email	email	NOUN
fcis-31302	3	5	:	:	PUNCT
fcis-31302	3	6	lac@zjhuizhi.com	lac@zjhuizhi.com	NOUN
fcis-31302	3	7	)	)	PUNCT
fcis-31302	3	8	abstract	abstract	NOUN
fcis-31302	3	9	:	:	PUNCT
fcis-31302	3	10	multimodal	multimodal	ADJ
fcis-31302	3	11	information	information	NOUN
fcis-31302	3	12	fusion	fusion	NOUN
fcis-31302	3	13	technology	technology	NOUN
fcis-31302	3	14	shows	show	VERB
fcis-31302	3	15	great	great	ADJ
fcis-31302	3	16	potential	potential	NOUN
fcis-31302	3	17	in	in	ADP
fcis-31302	3	18	real	real	ADJ
fcis-31302	3	19	-	-	PUNCT
fcis-31302	3	20	time	time	NOUN
fcis-31302	3	21	intelligent	intelligent	ADJ
fcis-31302	3	22	monitoring	monitoring	NOUN
fcis-31302	3	23	and	and	CCONJ
fcis-31302	3	24	early	early	ADJ
fcis-31302	3	25	warning	warning	NOUN
fcis-31302	3	26	of	of	ADP
fcis-31302	3	27	natural	natural	ADJ
fcis-31302	3	28	disasters	disaster	NOUN
fcis-31302	3	29	.	.	PUNCT
fcis-31302	4	1	by	by	ADP
fcis-31302	4	2	integrating	integrate	VERB
fcis-31302	4	3	remote	remote	ADJ
fcis-31302	4	4	sensing	sensing	NOUN
fcis-31302	4	5	images	image	NOUN
fcis-31302	4	6	,	,	PUNCT
fcis-31302	4	7	ground	ground	NOUN
fcis-31302	4	8	sensor	sensor	NOUN
fcis-31302	4	9	data	datum	NOUN
fcis-31302	4	10	,	,	PUNCT
fcis-31302	4	11	social	social	ADJ
fcis-31302	4	12	media	medium	NOUN
fcis-31302	4	13	text	text	NOUN
fcis-31302	4	14	,	,	PUNCT
fcis-31302	4	15	uav	uav	PROPN
fcis-31302	4	16	video	video	NOUN
fcis-31302	4	17	and	and	CCONJ
fcis-31302	4	18	other	other	ADJ
fcis-31302	4	19	heterogeneous	heterogeneous	ADJ
fcis-31302	4	20	data	datum	NOUN
fcis-31302	4	21	sources	source	NOUN
fcis-31302	4	22	,	,	PUNCT
fcis-31302	4	23	the	the	DET
fcis-31302	4	24	technology	technology	NOUN
fcis-31302	4	25	significantly	significantly	ADV
fcis-31302	4	26	improves	improve	VERB
fcis-31302	4	27	the	the	DET
fcis-31302	4	28	accuracy	accuracy	NOUN
fcis-31302	4	29	of	of	ADP
fcis-31302	4	30	disaster	disaster	NOUN
fcis-31302	4	31	monitoring	monitoring	NOUN
fcis-31302	4	32	and	and	CCONJ
fcis-31302	4	33	timeliness	timeliness	NOUN
fcis-31302	4	34	of	of	ADP
fcis-31302	4	35	early	early	ADJ
fcis-31302	4	36	warning	warning	NOUN
fcis-31302	4	37	.	.	PUNCT
fcis-31302	5	1	it	it	PRON
fcis-31302	5	2	shows	show	VERB
fcis-31302	5	3	that	that	SCONJ
fcis-31302	5	4	the	the	DET
fcis-31302	5	5	global	global	ADJ
fcis-31302	5	6	economic	economic	ADJ
fcis-31302	5	7	losses	loss	NOUN
fcis-31302	5	8	caused	cause	VERB
fcis-31302	5	9	by	by	ADP
fcis-31302	5	10	natural	natural	ADJ
fcis-31302	5	11	disasters	disaster	NOUN
fcis-31302	5	12	from	from	ADP
fcis-31302	5	13	2015	2015	NUM
fcis-31302	5	14	to	to	ADP
fcis-31302	5	15	2024	2024	NUM
fcis-31302	5	16	exceeded	exceed	VERB
fcis-31302	5	17	us	we	PRON
fcis-31302	5	18	$	$	SYM
fcis-31302	5	19	3	3	NUM
fcis-31302	5	20	trillion	trillion	NUM
fcis-31302	5	21	,	,	PUNCT
fcis-31302	5	22	affecting	affect	VERB
fcis-31302	5	23	billions	billion	NOUN
fcis-31302	5	24	of	of	ADP
fcis-31302	5	25	people	people	NOUN
fcis-31302	5	26	,	,	PUNCT
fcis-31302	5	27	highlighting	highlight	VERB
fcis-31302	5	28	the	the	DET
fcis-31302	5	29	social	social	ADJ
fcis-31302	5	30	and	and	CCONJ
fcis-31302	5	31	scientific	scientific	ADJ
fcis-31302	5	32	significance	significance	NOUN
fcis-31302	5	33	of	of	ADP
fcis-31302	5	34	an	an	DET
fcis-31302	5	35	efficient	efficient	ADJ
fcis-31302	5	36	early	early	ADJ
fcis-31302	5	37	warning	warning	NOUN
fcis-31302	5	38	system	system	NOUN
fcis-31302	5	39	.	.	PUNCT
fcis-31302	6	1	this	this	DET
fcis-31302	6	2	paper	paper	NOUN
fcis-31302	6	3	mainly	mainly	ADV
fcis-31302	6	4	summarizes	summarize	VERB
fcis-31302	6	5	the	the	DET
fcis-31302	6	6	application	application	NOUN
fcis-31302	6	7	progress	progress	NOUN
fcis-31302	6	8	of	of	ADP
fcis-31302	6	9	multimodal	multimodal	ADJ
fcis-31302	6	10	information	information	NOUN
fcis-31302	6	11	fusion	fusion	NOUN
fcis-31302	6	12	in	in	ADP
fcis-31302	6	13	earthquake	earthquake	NOUN
fcis-31302	6	14	,	,	PUNCT
fcis-31302	6	15	flood	flood	NOUN
fcis-31302	6	16	,	,	PUNCT
fcis-31302	6	17	and	and	CCONJ
fcis-31302	6	18	typhoon	typhoon	NOUN
fcis-31302	6	19	monitoring	monitoring	NOUN
fcis-31302	6	20	in	in	ADP
fcis-31302	6	21	the	the	DET
fcis-31302	6	22	past	past	ADJ
fcis-31302	6	23	decade	decade	NOUN
fcis-31302	6	24	.	.	PUNCT
fcis-31302	7	1	however	however	ADV
fcis-31302	7	2	,	,	PUNCT
fcis-31302	7	3	the	the	DET
fcis-31302	7	4	field	field	NOUN
fcis-31302	7	5	still	still	ADV
fcis-31302	7	6	faces	face	VERB
fcis-31302	7	7	challenges	challenge	NOUN
fcis-31302	7	8	,	,	PUNCT
fcis-31302	7	9	including	include	VERB
fcis-31302	7	10	data	datum	NOUN
fcis-31302	7	11	heterogeneity	heterogeneity	NOUN
fcis-31302	7	12	,	,	PUNCT
fcis-31302	7	13	computational	computational	ADJ
fcis-31302	7	14	complexity	complexity	NOUN
fcis-31302	7	15	,	,	PUNCT
fcis-31302	7	16	insufficient	insufficient	ADJ
fcis-31302	7	17	model	model	NOUN
fcis-31302	7	18	generalization	generalization	NOUN
fcis-31302	7	19	ability	ability	NOUN
fcis-31302	7	20	and	and	CCONJ
fcis-31302	7	21	cross	cross	VERB
fcis-31302	7	22	regional	regional	ADJ
fcis-31302	7	23	collaboration	collaboration	NOUN
fcis-31302	7	24	difficulties	difficulty	NOUN
fcis-31302	7	25	.	.	PUNCT
fcis-31302	8	1	for	for	ADP
fcis-31302	8	2	these	these	DET
fcis-31302	8	3	reasons	reason	NOUN
fcis-31302	8	4	,	,	PUNCT
fcis-31302	8	5	researchers	researcher	NOUN
fcis-31302	8	6	have	have	AUX
fcis-31302	8	7	proposed	propose	VERB
fcis-31302	8	8	a	a	DET
fcis-31302	8	9	number	number	NOUN
fcis-31302	8	10	of	of	ADP
fcis-31302	8	11	solutions	solution	NOUN
fcis-31302	8	12	,	,	PUNCT
fcis-31302	8	13	such	such	ADJ
fcis-31302	8	14	as	as	ADP
fcis-31302	8	15	cross	cross	NOUN
fcis-31302	8	16	modal	modal	ADJ
fcis-31302	8	17	alignment	alignment	NOUN
fcis-31302	8	18	technology	technology	NOUN
fcis-31302	8	19	,	,	PUNCT
fcis-31302	8	20	generation	generation	NOUN
fcis-31302	8	21	of	of	ADP
fcis-31302	8	22	confrontation	confrontation	NOUN
fcis-31302	8	23	network	network	NOUN
fcis-31302	8	24	to	to	PART
fcis-31302	8	25	fill	fill	VERB
fcis-31302	8	26	the	the	DET
fcis-31302	8	27	missing	miss	VERB
fcis-31302	8	28	data	datum	NOUN
fcis-31302	8	29	,	,	PUNCT
fcis-31302	8	30	transfer	transfer	NOUN
fcis-31302	8	31	learning	learn	VERB
fcis-31302	8	32	to	to	PART
fcis-31302	8	33	improve	improve	VERB
fcis-31302	8	34	the	the	DET
fcis-31302	8	35	generalization	generalization	NOUN
fcis-31302	8	36	ability	ability	NOUN
fcis-31302	8	37	of	of	ADP
fcis-31302	8	38	the	the	DET
fcis-31302	8	39	model	model	NOUN
fcis-31302	8	40	,	,	PUNCT
fcis-31302	8	41	federal	federal	ADJ
fcis-31302	8	42	learning	learning	NOUN
fcis-31302	8	43	to	to	PART
fcis-31302	8	44	ensure	ensure	VERB
fcis-31302	8	45	data	datum	NOUN
fcis-31302	8	46	privacy	privacy	NOUN
fcis-31302	8	47	.	.	PUNCT
fcis-31302	9	1	future	future	ADJ
fcis-31302	9	2	research	research	NOUN
fcis-31302	9	3	directions	direction	NOUN
fcis-31302	9	4	will	will	AUX
fcis-31302	9	5	focus	focus	VERB
fcis-31302	9	6	on	on	ADP
fcis-31302	9	7	adaptive	adaptive	ADJ
fcis-31302	9	8	fusion	fusion	NOUN
fcis-31302	9	9	algorithm	algorithm	NOUN
fcis-31302	9	10	,	,	PUNCT
fcis-31302	9	11	application	application	NOUN
fcis-31302	9	12	of	of	ADP
fcis-31302	9	13	generative	generative	ADJ
fcis-31302	9	14	ai	ai	PROPN
fcis-31302	9	15	technology	technology	NOUN
fcis-31302	9	16	,	,	PUNCT
fcis-31302	9	17	construction	construction	NOUN
fcis-31302	9	18	of	of	ADP
fcis-31302	9	19	global	global	ADJ
fcis-31302	9	20	collaboration	collaboration	NOUN
fcis-31302	9	21	network	network	NOUN
fcis-31302	9	22	and	and	CCONJ
fcis-31302	9	23	promotion	promotion	NOUN
fcis-31302	9	24	of	of	ADP
fcis-31302	9	25	low	low	ADJ
fcis-31302	9	26	-	-	PUNCT
fcis-31302	9	27	cost	cost	NOUN
fcis-31302	9	28	technology	technology	NOUN
fcis-31302	9	29	.	.	PUNCT
fcis-31302	10	1	facing	face	VERB
fcis-31302	10	2	the	the	DET
fcis-31302	10	3	challenges	challenge	NOUN
fcis-31302	10	4	in	in	ADP
fcis-31302	10	5	the	the	DET
fcis-31302	10	6	future	future	NOUN
fcis-31302	10	7	,	,	PUNCT
fcis-31302	10	8	we	we	PRON
fcis-31302	10	9	need	need	VERB
fcis-31302	10	10	interdisciplinary	interdisciplinary	ADJ
fcis-31302	10	11	cooperation	cooperation	NOUN
fcis-31302	10	12	and	and	CCONJ
fcis-31302	10	13	technological	technological	ADJ
fcis-31302	10	14	innovation	innovation	NOUN
fcis-31302	10	15	to	to	PART
fcis-31302	10	16	jointly	jointly	ADV
fcis-31302	10	17	overcome	overcome	VERB
fcis-31302	10	18	the	the	DET
fcis-31302	10	19	existing	exist	VERB
fcis-31302	10	20	problems	problem	NOUN
fcis-31302	10	21	,	,	PUNCT
fcis-31302	10	22	reduce	reduce	VERB
fcis-31302	10	23	the	the	DET
fcis-31302	10	24	losses	loss	NOUN
fcis-31302	10	25	caused	cause	VERB
fcis-31302	10	26	by	by	ADP
fcis-31302	10	27	natural	natural	ADJ
fcis-31302	10	28	disasters	disaster	NOUN
fcis-31302	10	29	,	,	PUNCT
fcis-31302	10	30	and	and	CCONJ
fcis-31302	10	31	protect	protect	VERB
fcis-31302	10	32	the	the	DET
fcis-31302	10	33	safety	safety	NOUN
fcis-31302	10	34	of	of	ADP
fcis-31302	10	35	human	human	ADJ
fcis-31302	10	36	life	life	NOUN
fcis-31302	10	37	and	and	CCONJ
fcis-31302	10	38	property	property	NOUN
fcis-31302	10	39	.	.	PUNCT
fcis-31302	11	1	keywords	keyword	NOUN
fcis-31302	11	2	:	:	PUNCT
fcis-31302	11	3	multimodal	multimodal	NOUN
fcis-31302	11	4	;	;	PUNCT
fcis-31302	11	5	information	information	NOUN
fcis-31302	11	6	fusion	fusion	NOUN
fcis-31302	11	7	;	;	PUNCT
fcis-31302	11	8	natural	natural	ADJ
fcis-31302	11	9	disasters	disaster	NOUN
fcis-31302	11	10	;	;	PUNCT
fcis-31302	11	11	real	real	ADJ
fcis-31302	11	12	-	-	PUNCT
fcis-31302	11	13	time	time	NOUN
fcis-31302	11	14	detection	detection	NOUN
fcis-31302	11	15	;	;	PUNCT
fcis-31302	11	16	intelligent	intelligent	ADJ
fcis-31302	11	17	early	early	ADJ
fcis-31302	11	18	warning	warning	NOUN
fcis-31302	11	19	.	.	PUNCT
fcis-31302	12	1	1	1	X
fcis-31302	12	2	.	.	X
fcis-31302	12	3	introduction	introduction	NOUN
fcis-31302	12	4	1.1	1.1	NUM
fcis-31302	12	5	.	.	PUNCT
fcis-31302	13	1	research	research	NOUN
fcis-31302	13	2	background	background	NOUN
fcis-31302	13	3	and	and	CCONJ
fcis-31302	13	4	significance	significance	NOUN
fcis-31302	13	5	natural	natural	ADJ
fcis-31302	13	6	disasters	disaster	NOUN
fcis-31302	13	7	,	,	PUNCT
fcis-31302	13	8	such	such	ADJ
fcis-31302	13	9	as	as	ADP
fcis-31302	13	10	earthquakes	earthquake	NOUN
fcis-31302	13	11	,	,	PUNCT
fcis-31302	13	12	floods	flood	NOUN
fcis-31302	13	13	,	,	PUNCT
fcis-31302	13	14	typhoons	typhoon	NOUN
fcis-31302	13	15	,	,	PUNCT
fcis-31302	13	16	landslides	landslide	NOUN
fcis-31302	13	17	and	and	CCONJ
fcis-31302	13	18	wildfires	wildfire	VERB
fcis-31302	13	19	,	,	PUNCT
fcis-31302	13	20	pose	pose	VERB
fcis-31302	13	21	a	a	DET
fcis-31302	13	22	serious	serious	ADJ
fcis-31302	13	23	threat	threat	NOUN
fcis-31302	13	24	to	to	ADP
fcis-31302	13	25	human	human	ADJ
fcis-31302	13	26	society	society	NOUN
fcis-31302	13	27	,	,	PUNCT
fcis-31302	13	28	economy	economy	NOUN
fcis-31302	13	29	and	and	CCONJ
fcis-31302	13	30	ecological	ecological	ADJ
fcis-31302	13	31	environment	environment	NOUN
fcis-31302	13	32	.	.	PUNCT
fcis-31302	14	1	according	accord	VERB
fcis-31302	14	2	to	to	ADP
fcis-31302	14	3	the	the	DET
fcis-31302	14	4	statistics	statistic	NOUN
fcis-31302	14	5	of	of	ADP
fcis-31302	14	6	the	the	DET
fcis-31302	14	7	united	united	PROPN
fcis-31302	14	8	nations	nations	PROPN
fcis-31302	14	9	office	office	PROPN
fcis-31302	14	10	for	for	ADP
fcis-31302	14	11	disaster	disaster	NOUN
fcis-31302	14	12	reduction	reduction	NOUN
fcis-31302	14	13	(	(	PUNCT
fcis-31302	14	14	undrr	undrr	NOUN
fcis-31302	14	15	)	)	PUNCT
fcis-31302	14	16	,	,	PUNCT
fcis-31302	14	17	from	from	ADP
fcis-31302	14	18	2015	2015	NUM
fcis-31302	14	19	to	to	ADP
fcis-31302	14	20	2024	2024	NUM
fcis-31302	14	21	,	,	PUNCT
fcis-31302	14	22	the	the	DET
fcis-31302	14	23	direct	direct	ADJ
fcis-31302	14	24	economic	economic	ADJ
fcis-31302	14	25	losses	loss	NOUN
fcis-31302	14	26	caused	cause	VERB
fcis-31302	14	27	by	by	ADP
fcis-31302	14	28	natural	natural	ADJ
fcis-31302	14	29	disasters	disaster	NOUN
fcis-31302	14	30	in	in	ADP
fcis-31302	14	31	the	the	DET
fcis-31302	14	32	world	world	NOUN
fcis-31302	14	33	exceeded	exceed	VERB
fcis-31302	14	34	us	we	PRON
fcis-31302	14	35	$	$	SYM
fcis-31302	14	36	3trillion	3trillion	NUM
fcis-31302	14	37	,	,	PUNCT
fcis-31302	14	38	affecting	affect	VERB
fcis-31302	14	39	billions	billion	NOUN
fcis-31302	14	40	of	of	ADP
fcis-31302	14	41	people	people	NOUN
fcis-31302	14	42	[	[	X
fcis-31302	14	43	1	1	NUM
fcis-31302	14	44	]	]	PUNCT
fcis-31302	14	45	.	.	PUNCT
fcis-31302	15	1	the	the	DET
fcis-31302	15	2	sudden	sudden	ADJ
fcis-31302	15	3	and	and	CCONJ
fcis-31302	15	4	destructive	destructive	ADJ
fcis-31302	15	5	nature	nature	NOUN
fcis-31302	15	6	of	of	ADP
fcis-31302	15	7	these	these	DET
fcis-31302	15	8	disasters	disaster	NOUN
fcis-31302	15	9	makes	make	VERB
fcis-31302	15	10	real	real	ADJ
fcis-31302	15	11	-	-	PUNCT
fcis-31302	15	12	time	time	NOUN
fcis-31302	15	13	monitoring	monitoring	NOUN
fcis-31302	15	14	and	and	CCONJ
fcis-31302	15	15	early	early	ADJ
fcis-31302	15	16	warning	warning	NOUN
fcis-31302	15	17	become	become	VERB
fcis-31302	15	18	the	the	DET
fcis-31302	15	19	key	key	ADJ
fcis-31302	15	20	link	link	NOUN
fcis-31302	15	21	of	of	ADP
fcis-31302	15	22	disaster	disaster	NOUN
fcis-31302	15	23	reduction	reduction	NOUN
fcis-31302	15	24	.	.	PUNCT
fcis-31302	16	1	the	the	DET
fcis-31302	16	2	traditional	traditional	ADJ
fcis-31302	16	3	natural	natural	ADJ
fcis-31302	16	4	disaster	disaster	NOUN
fcis-31302	16	5	monitoring	monitoring	NOUN
fcis-31302	16	6	system	system	NOUN
fcis-31302	16	7	mostly	mostly	ADV
fcis-31302	16	8	relies	rely	VERB
fcis-31302	16	9	on	on	ADP
fcis-31302	16	10	the	the	DET
fcis-31302	16	11	prediction	prediction	NOUN
fcis-31302	16	12	method	method	NOUN
fcis-31302	16	13	of	of	ADP
fcis-31302	16	14	a	a	DET
fcis-31302	16	15	single	single	ADJ
fcis-31302	16	16	data	datum	NOUN
fcis-31302	16	17	source	source	NOUN
fcis-31302	16	18	,	,	PUNCT
fcis-31302	16	19	such	such	ADJ
fcis-31302	16	20	as	as	ADP
fcis-31302	16	21	seismograph	seismograph	NOUN
fcis-31302	16	22	and	and	CCONJ
fcis-31302	16	23	weather	weather	NOUN
fcis-31302	16	24	station	station	NOUN
fcis-31302	16	25	,	,	PUNCT
fcis-31302	16	26	which	which	PRON
fcis-31302	16	27	has	have	VERB
fcis-31302	16	28	the	the	DET
fcis-31302	16	29	problems	problem	NOUN
fcis-31302	16	30	of	of	ADP
fcis-31302	16	31	limited	limited	ADJ
fcis-31302	16	32	coverage	coverage	NOUN
fcis-31302	16	33	,	,	PUNCT
fcis-31302	16	34	insufficient	insufficient	ADJ
fcis-31302	16	35	timeliness	timeliness	NOUN
fcis-31302	16	36	and	and	CCONJ
fcis-31302	16	37	limited	limited	ADJ
fcis-31302	16	38	accuracy	accuracy	NOUN
fcis-31302	16	39	.	.	PUNCT
fcis-31302	17	1	with	with	ADP
fcis-31302	17	2	the	the	DET
fcis-31302	17	3	rapid	rapid	ADJ
fcis-31302	17	4	development	development	NOUN
fcis-31302	17	5	of	of	ADP
fcis-31302	17	6	sensor	sensor	NOUN
fcis-31302	17	7	technology	technology	NOUN
fcis-31302	17	8	,	,	PUNCT
fcis-31302	17	9	remote	remote	ADJ
fcis-31302	17	10	sensing	sense	VERB
fcis-31302	17	11	technology	technology	NOUN
fcis-31302	17	12	and	and	CCONJ
fcis-31302	17	13	internet	internet	NOUN
fcis-31302	17	14	technology	technology	NOUN
fcis-31302	17	15	,	,	PUNCT
fcis-31302	17	16	the	the	DET
fcis-31302	17	17	acquisition	acquisition	NOUN
fcis-31302	17	18	ability	ability	NOUN
fcis-31302	17	19	of	of	ADP
fcis-31302	17	20	multimodal	multimodal	NOUN
fcis-31302	17	21	data	datum	NOUN
fcis-31302	17	22	,	,	PUNCT
fcis-31302	17	23	such	such	ADJ
fcis-31302	17	24	as	as	ADP
fcis-31302	17	25	satellite	satellite	NOUN
fcis-31302	17	26	images	image	NOUN
fcis-31302	17	27	,	,	PUNCT
fcis-31302	17	28	ground	ground	NOUN
fcis-31302	17	29	sensor	sensor	NOUN
fcis-31302	17	30	data	datum	NOUN
fcis-31302	17	31	,	,	PUNCT
fcis-31302	17	32	social	social	ADJ
fcis-31302	17	33	media	medium	NOUN
fcis-31302	17	34	information	information	NOUN
fcis-31302	17	35	,	,	PUNCT
fcis-31302	17	36	and	and	CCONJ
fcis-31302	17	37	uav	uav	PROPN
fcis-31302	17	38	images	image	NOUN
fcis-31302	17	39	,	,	PUNCT
fcis-31302	17	40	has	have	AUX
fcis-31302	17	41	been	be	AUX
fcis-31302	17	42	significantly	significantly	ADV
fcis-31302	17	43	improved	improve	VERB
fcis-31302	17	44	,	,	PUNCT
fcis-31302	17	45	providing	provide	VERB
fcis-31302	17	46	new	new	ADJ
fcis-31302	17	47	opportunities	opportunity	NOUN
fcis-31302	17	48	for	for	ADP
fcis-31302	17	49	real	real	ADJ
fcis-31302	17	50	-	-	PUNCT
fcis-31302	17	51	time	time	NOUN
fcis-31302	17	52	intelligent	intelligent	ADJ
fcis-31302	17	53	monitoring	monitoring	NOUN
fcis-31302	17	54	and	and	CCONJ
fcis-31302	17	55	early	early	ADJ
fcis-31302	17	56	warning	warning	NOUN
fcis-31302	17	57	of	of	ADP
fcis-31302	17	58	natural	natural	ADJ
fcis-31302	17	59	disasters	disaster	NOUN
fcis-31302	17	60	.	.	PUNCT
fcis-31302	18	1	multimodal	multimodal	NOUN
fcis-31302	18	2	information	information	NOUN
fcis-31302	18	3	fusion	fusion	NOUN
fcis-31302	18	4	is	be	AUX
fcis-31302	18	5	an	an	DET
fcis-31302	18	6	advanced	advanced	ADJ
fcis-31302	18	7	technology	technology	NOUN
fcis-31302	18	8	that	that	PRON
fcis-31302	18	9	extracts	extract	VERB
fcis-31302	18	10	complementary	complementary	ADJ
fcis-31302	18	11	features	feature	NOUN
fcis-31302	18	12	to	to	PART
fcis-31302	18	13	improve	improve	VERB
fcis-31302	18	14	information	information	NOUN
fcis-31302	18	15	processing	processing	NOUN
fcis-31302	18	16	ability	ability	NOUN
fcis-31302	18	17	by	by	ADP
fcis-31302	18	18	integrating	integrate	VERB
fcis-31302	18	19	a	a	DET
fcis-31302	18	20	variety	variety	NOUN
fcis-31302	18	21	of	of	ADP
fcis-31302	18	22	heterogeneous	heterogeneous	ADJ
fcis-31302	18	23	data	datum	NOUN
fcis-31302	18	24	sources	source	NOUN
fcis-31302	18	25	,	,	PUNCT
fcis-31302	18	26	such	such	ADJ
fcis-31302	18	27	as	as	ADP
fcis-31302	18	28	images	image	NOUN
fcis-31302	18	29	,	,	PUNCT
fcis-31302	18	30	time	time	NOUN
fcis-31302	18	31	series	series	NOUN
fcis-31302	18	32	,	,	PUNCT
fcis-31302	18	33	text	text	NOUN
fcis-31302	18	34	,	,	PUNCT
fcis-31302	18	35	and	and	CCONJ
fcis-31302	18	36	video	video	NOUN
fcis-31302	18	37	.	.	PUNCT
fcis-31302	19	1	compared	compare	VERB
fcis-31302	19	2	with	with	ADP
fcis-31302	19	3	single	single	ADJ
fcis-31302	19	4	-	-	PUNCT
fcis-31302	19	5	mode	mode	NOUN
fcis-31302	19	6	data	datum	NOUN
fcis-31302	19	7	,	,	PUNCT
fcis-31302	19	8	multi	multi	ADJ
fcis-31302	19	9	-	-	ADJ
fcis-31302	19	10	mode	mode	ADJ
fcis-31302	19	11	data	datum	NOUN
fcis-31302	19	12	can	can	AUX
fcis-31302	19	13	provide	provide	VERB
fcis-31302	19	14	more	more	ADV
fcis-31302	19	15	comprehensive	comprehensive	ADJ
fcis-31302	19	16	environmental	environmental	ADJ
fcis-31302	19	17	information	information	NOUN
fcis-31302	19	18	,	,	PUNCT
fcis-31302	19	19	which	which	PRON
fcis-31302	19	20	can	can	AUX
fcis-31302	19	21	significantly	significantly	ADV
fcis-31302	19	22	improve	improve	VERB
fcis-31302	19	23	the	the	DET
fcis-31302	19	24	accuracy	accuracy	NOUN
fcis-31302	19	25	of	of	ADP
fcis-31302	19	26	disaster	disaster	NOUN
fcis-31302	19	27	monitoring	monitoring	NOUN
fcis-31302	19	28	and	and	CCONJ
fcis-31302	19	29	timeliness	timeliness	NOUN
fcis-31302	19	30	of	of	ADP
fcis-31302	19	31	early	early	ADJ
fcis-31302	19	32	warning	warning	NOUN
fcis-31302	19	33	.	.	PUNCT
fcis-31302	20	1	in	in	ADP
fcis-31302	20	2	flood	flood	NOUN
fcis-31302	20	3	monitoring	monitoring	NOUN
fcis-31302	20	4	,	,	PUNCT
fcis-31302	20	5	remote	remote	ADJ
fcis-31302	20	6	sensing	sensing	NOUN
fcis-31302	20	7	images	image	NOUN
fcis-31302	20	8	can	can	AUX
fcis-31302	20	9	provide	provide	VERB
fcis-31302	20	10	a	a	DET
fcis-31302	20	11	wide	wide	ADJ
fcis-31302	20	12	range	range	NOUN
fcis-31302	20	13	of	of	ADP
fcis-31302	20	14	flood	flood	NOUN
fcis-31302	20	15	distribution	distribution	NOUN
fcis-31302	20	16	information	information	NOUN
fcis-31302	20	17	,	,	PUNCT
fcis-31302	20	18	ground	grind	VERB
fcis-31302	20	19	hydrological	hydrological	ADJ
fcis-31302	20	20	sensors	sensor	NOUN
fcis-31302	20	21	can	can	AUX
fcis-31302	20	22	provide	provide	VERB
fcis-31302	20	23	accurate	accurate	ADJ
fcis-31302	20	24	water	water	NOUN
fcis-31302	20	25	level	level	NOUN
fcis-31302	20	26	data	datum	NOUN
fcis-31302	20	27	,	,	PUNCT
fcis-31302	20	28	and	and	CCONJ
fcis-31302	20	29	social	social	ADJ
fcis-31302	20	30	media	medium	NOUN
fcis-31302	20	31	data	datum	NOUN
fcis-31302	20	32	can	can	AUX
fcis-31302	20	33	reflect	reflect	VERB
fcis-31302	20	34	real	real	ADJ
fcis-31302	20	35	-	-	PUNCT
fcis-31302	20	36	time	time	NOUN
fcis-31302	20	37	public	public	ADJ
fcis-31302	20	38	feedback	feedback	NOUN
fcis-31302	20	39	and	and	CCONJ
fcis-31302	20	40	disaster	disaster	NOUN
fcis-31302	20	41	impact	impact	NOUN
fcis-31302	21	1	[	[	X
fcis-31302	21	2	2	2	NUM
fcis-31302	21	3	]	]	PUNCT
fcis-31302	21	4	.	.	PUNCT
fcis-31302	22	1	by	by	ADP
fcis-31302	22	2	integrating	integrate	VERB
fcis-31302	22	3	the	the	DET
fcis-31302	22	4	data	datum	NOUN
fcis-31302	22	5	,	,	PUNCT
fcis-31302	22	6	we	we	PRON
fcis-31302	22	7	can	can	AUX
fcis-31302	22	8	not	not	PART
fcis-31302	22	9	only	only	ADV
fcis-31302	22	10	realize	realize	VERB
fcis-31302	22	11	the	the	DET
fcis-31302	22	12	comprehensive	comprehensive	ADJ
fcis-31302	22	13	perception	perception	NOUN
fcis-31302	22	14	of	of	ADP
fcis-31302	22	15	disasters	disaster	NOUN
fcis-31302	22	16	,	,	PUNCT
fcis-31302	22	17	but	but	CCONJ
fcis-31302	22	18	also	also	ADV
fcis-31302	22	19	improve	improve	VERB
fcis-31302	22	20	the	the	DET
fcis-31302	22	21	robustness	robustness	NOUN
fcis-31302	22	22	and	and	CCONJ
fcis-31302	22	23	adaptability	adaptability	NOUN
fcis-31302	22	24	of	of	ADP
fcis-31302	22	25	the	the	DET
fcis-31302	22	26	early	early	ADJ
fcis-31302	22	27	warning	warning	NOUN
fcis-31302	22	28	system	system	NOUN
fcis-31302	22	29	.	.	PUNCT
fcis-31302	23	1	artificial	artificial	ADJ
fcis-31302	23	2	intelligence	intelligence	NOUN
fcis-31302	23	3	(	(	PUNCT
fcis-31302	23	4	ai	ai	NOUN
fcis-31302	23	5	)	)	PUNCT
fcis-31302	23	6	technology	technology	NOUN
fcis-31302	23	7	,	,	PUNCT
fcis-31302	23	8	especially	especially	ADV
fcis-31302	23	9	the	the	DET
fcis-31302	23	10	development	development	NOUN
fcis-31302	23	11	of	of	ADP
fcis-31302	23	12	deep	deep	ADJ
fcis-31302	23	13	learning	learning	NOUN
fcis-31302	23	14	and	and	CCONJ
fcis-31302	23	15	multimodal	multimodal	NOUN
fcis-31302	23	16	learning	learning	NOUN
fcis-31302	23	17	,	,	PUNCT
fcis-31302	23	18	provides	provide	VERB
fcis-31302	23	19	a	a	DET
fcis-31302	23	20	powerful	powerful	ADJ
fcis-31302	23	21	tool	tool	NOUN
fcis-31302	23	22	for	for	ADP
fcis-31302	23	23	processing	process	VERB
fcis-31302	23	24	complex	complex	ADJ
fcis-31302	23	25	multi	multi	ADJ
fcis-31302	23	26	-	-	ADJ
fcis-31302	23	27	source	source	NOUN
fcis-31302	23	28	data	datum	NOUN
fcis-31302	23	29	.	.	PUNCT
fcis-31302	24	1	convolutional	convolutional	ADJ
fcis-31302	24	2	neural	neural	ADJ
fcis-31302	24	3	network	network	NOUN
fcis-31302	24	4	(	(	PUNCT
fcis-31302	24	5	cnn	cnn	PROPN
fcis-31302	24	6	)	)	PUNCT
fcis-31302	24	7	shows	show	VERB
fcis-31302	24	8	great	great	ADJ
fcis-31302	24	9	potential	potential	NOUN
fcis-31302	24	10	in	in	ADP
fcis-31302	24	11	processing	process	VERB
fcis-31302	24	12	remote	remote	ADJ
fcis-31302	24	13	sensing	sensing	NOUN
fcis-31302	24	14	images	image	NOUN
fcis-31302	24	15	and	and	CCONJ
fcis-31302	24	16	transformer	transformer	NOUN
fcis-31302	24	17	model	model	NOUN
fcis-31302	24	18	in	in	ADP
fcis-31302	24	19	analyzing	analyze	VERB
fcis-31302	24	20	time	time	NOUN
fcis-31302	24	21	series	series	NOUN
fcis-31302	24	22	and	and	CCONJ
fcis-31302	24	23	text	text	NOUN
fcis-31302	24	24	data	datum	NOUN
fcis-31302	25	1	[	[	X
fcis-31302	25	2	34	34	NUM
fcis-31302	25	3	]	]	PUNCT
fcis-31302	25	4	.	.	PUNCT
fcis-31302	26	1	the	the	DET
fcis-31302	26	2	application	application	NOUN
fcis-31302	26	3	of	of	ADP
fcis-31302	26	4	multimodal	multimodal	NOUN
fcis-31302	26	5	information	information	NOUN
fcis-31302	26	6	fusion	fusion	NOUN
fcis-31302	26	7	in	in	ADP
fcis-31302	26	8	natural	natural	ADJ
fcis-31302	26	9	disaster	disaster	NOUN
fcis-31302	26	10	monitoring	monitoring	NOUN
fcis-31302	26	11	has	have	VERB
fcis-31302	26	12	important	important	ADJ
fcis-31302	26	13	social	social	ADJ
fcis-31302	26	14	and	and	CCONJ
fcis-31302	26	15	scientific	scientific	ADJ
fcis-31302	26	16	significance	significance	NOUN
fcis-31302	26	17	.	.	PUNCT
fcis-31302	27	1	from	from	ADP
fcis-31302	27	2	a	a	DET
fcis-31302	27	3	social	social	ADJ
fcis-31302	27	4	perspective	perspective	NOUN
fcis-31302	27	5	,	,	PUNCT
fcis-31302	27	6	an	an	DET
fcis-31302	27	7	efficient	efficient	ADJ
fcis-31302	27	8	early	early	ADJ
fcis-31302	27	9	warning	warning	NOUN
fcis-31302	27	10	system	system	NOUN
fcis-31302	27	11	can	can	AUX
fcis-31302	27	12	significantly	significantly	ADV
fcis-31302	27	13	reduce	reduce	VERB
fcis-31302	27	14	casualties	casualty	NOUN
fcis-31302	27	15	and	and	CCONJ
fcis-31302	27	16	economic	economic	ADJ
fcis-31302	27	17	losses	loss	NOUN
fcis-31302	27	18	;	;	PUNCT
fcis-31302	27	19	from	from	ADP
fcis-31302	27	20	a	a	DET
fcis-31302	27	21	scientific	scientific	ADJ
fcis-31302	27	22	perspective	perspective	NOUN
fcis-31302	27	23	,	,	PUNCT
fcis-31302	27	24	multimodal	multimodal	ADJ
fcis-31302	27	25	integration	integration	NOUN
fcis-31302	27	26	promotes	promote	VERB
fcis-31302	27	27	the	the	DET
fcis-31302	27	28	development	development	NOUN
fcis-31302	27	29	of	of	ADP
fcis-31302	27	30	interdisciplinary	interdisciplinary	ADJ
fcis-31302	27	31	research	research	NOUN
fcis-31302	27	32	,	,	PUNCT
fcis-31302	27	33	involving	involve	VERB
fcis-31302	27	34	geoscience	geoscience	NOUN
fcis-31302	27	35	,	,	PUNCT
fcis-31302	27	36	data	data	NOUN
fcis-31302	27	37	science	science	NOUN
fcis-31302	27	38	,	,	PUNCT
fcis-31302	27	39	artificial	artificial	ADJ
fcis-31302	27	40	intelligence	intelligence	NOUN
fcis-31302	27	41	and	and	CCONJ
fcis-31302	27	42	other	other	ADJ
fcis-31302	27	43	fields	field	NOUN
fcis-31302	27	44	.	.	PUNCT
fcis-31302	28	1	however	however	ADV
fcis-31302	28	2	,	,	PUNCT
fcis-31302	28	3	multimodal	multimodal	ADJ
fcis-31302	28	4	information	information	NOUN
fcis-31302	28	5	fusion	fusion	NOUN
fcis-31302	28	6	also	also	ADV
fcis-31302	28	7	faces	face	VERB
fcis-31302	28	8	many	many	ADJ
fcis-31302	28	9	challenges	challenge	NOUN
fcis-31302	28	10	,	,	PUNCT
fcis-31302	28	11	such	such	ADJ
fcis-31302	28	12	as	as	ADP
fcis-31302	28	13	data	datum	NOUN
fcis-31302	28	14	heterogeneity	heterogeneity	NOUN
fcis-31302	28	15	,	,	PUNCT
fcis-31302	28	16	computational	computational	ADJ
fcis-31302	28	17	complexity	complexity	NOUN
fcis-31302	28	18	,	,	PUNCT
fcis-31302	28	19	real	real	ADJ
fcis-31302	28	20	-	-	PUNCT
fcis-31302	28	21	time	time	NOUN
fcis-31302	28	22	requirements	requirement	NOUN
fcis-31302	28	23	and	and	CCONJ
fcis-31302	28	24	data	datum	NOUN
fcis-31302	28	25	privacy	privacy	NOUN
fcis-31302	28	26	issues	issue	NOUN
fcis-31302	28	27	,	,	PUNCT
fcis-31302	28	28	which	which	PRON
fcis-31302	28	29	need	need	VERB
fcis-31302	28	30	systematic	systematic	ADJ
fcis-31302	28	31	research	research	NOUN
fcis-31302	28	32	and	and	CCONJ
fcis-31302	28	33	solutions	solution	NOUN
fcis-31302	28	34	.	.	PUNCT
fcis-31302	29	1	1.2	1.2	NUM
fcis-31302	29	2	.	.	X
fcis-31302	29	3	overview	overview	NOUN
fcis-31302	29	4	of	of	ADP
fcis-31302	29	5	research	research	NOUN
fcis-31302	29	6	status	status	NOUN
fcis-31302	29	7	in	in	ADP
fcis-31302	29	8	the	the	DET
fcis-31302	29	9	past	past	ADJ
fcis-31302	29	10	decade	decade	NOUN
fcis-31302	29	11	,	,	PUNCT
fcis-31302	29	12	the	the	DET
fcis-31302	29	13	application	application	NOUN
fcis-31302	29	14	of	of	ADP
fcis-31302	29	15	multimodal	multimodal	ADJ
fcis-31302	29	16	2	2	NUM
fcis-31302	29	17	information	information	NOUN
fcis-31302	29	18	fusion	fusion	NOUN
fcis-31302	29	19	in	in	ADP
fcis-31302	29	20	the	the	DET
fcis-31302	29	21	field	field	NOUN
fcis-31302	29	22	of	of	ADP
fcis-31302	29	23	natural	natural	ADJ
fcis-31302	29	24	disaster	disaster	NOUN
fcis-31302	29	25	monitoring	monitoring	NOUN
fcis-31302	29	26	and	and	CCONJ
fcis-31302	29	27	early	early	ADJ
fcis-31302	29	28	warning	warning	NOUN
fcis-31302	29	29	has	have	AUX
fcis-31302	29	30	made	make	VERB
fcis-31302	29	31	remarkable	remarkable	ADJ
fcis-31302	29	32	progress	progress	NOUN
fcis-31302	29	33	.	.	PUNCT
fcis-31302	30	1	traditional	traditional	ADJ
fcis-31302	30	2	methods	method	NOUN
fcis-31302	30	3	mainly	mainly	ADV
fcis-31302	30	4	rely	rely	VERB
fcis-31302	30	5	on	on	ADP
fcis-31302	30	6	the	the	DET
fcis-31302	30	7	monitoring	monitoring	NOUN
fcis-31302	30	8	system	system	NOUN
fcis-31302	30	9	of	of	ADP
fcis-31302	30	10	a	a	DET
fcis-31302	30	11	single	single	ADJ
fcis-31302	30	12	data	datum	NOUN
fcis-31302	30	13	source	source	NOUN
fcis-31302	30	14	.	.	PUNCT
fcis-31302	31	1	seismic	seismic	ADJ
fcis-31302	31	2	monitoring	monitoring	NOUN
fcis-31302	31	3	relies	rely	VERB
fcis-31302	31	4	on	on	ADP
fcis-31302	31	5	seismograph	seismograph	NOUN
fcis-31302	31	6	data	datum	NOUN
fcis-31302	31	7	to	to	PART
fcis-31302	31	8	estimate	estimate	VERB
fcis-31302	31	9	the	the	DET
fcis-31302	31	10	epicenter	epicenter	NOUN
fcis-31302	31	11	position	position	NOUN
fcis-31302	31	12	through	through	ADP
fcis-31302	31	13	the	the	DET
fcis-31302	31	14	propagation	propagation	NOUN
fcis-31302	31	15	velocity	velocity	NOUN
fcis-31302	31	16	of	of	ADP
fcis-31302	31	17	seismic	seismic	ADJ
fcis-31302	31	18	waves	wave	NOUN
fcis-31302	31	19	[	[	X
fcis-31302	31	20	5	5	NUM
fcis-31302	31	21	]	]	PUNCT
fcis-31302	31	22	.	.	PUNCT
fcis-31302	32	1	however	however	ADV
fcis-31302	32	2	,	,	PUNCT
fcis-31302	32	3	a	a	DET
fcis-31302	32	4	single	single	ADJ
fcis-31302	32	5	data	data	NOUN
fcis-31302	32	6	source	source	NOUN
fcis-31302	32	7	is	be	AUX
fcis-31302	32	8	difficult	difficult	ADJ
fcis-31302	32	9	to	to	PART
fcis-31302	32	10	capture	capture	VERB
fcis-31302	32	11	the	the	DET
fcis-31302	32	12	complex	complex	ADJ
fcis-31302	32	13	dynamic	dynamic	ADJ
fcis-31302	32	14	characteristics	characteristic	NOUN
fcis-31302	32	15	of	of	ADP
fcis-31302	32	16	disasters	disaster	NOUN
fcis-31302	32	17	,	,	PUNCT
fcis-31302	32	18	and	and	CCONJ
fcis-31302	32	19	is	be	AUX
fcis-31302	32	20	prone	prone	ADJ
fcis-31302	32	21	to	to	ADP
fcis-31302	32	22	failure	failure	NOUN
fcis-31302	32	23	in	in	ADP
fcis-31302	32	24	extreme	extreme	ADJ
fcis-31302	32	25	environments	environment	NOUN
fcis-31302	32	26	.	.	PUNCT
fcis-31302	33	1	in	in	ADP
fcis-31302	33	2	recent	recent	ADJ
fcis-31302	33	3	years	year	NOUN
fcis-31302	33	4	,	,	PUNCT
fcis-31302	33	5	with	with	ADP
fcis-31302	33	6	the	the	DET
fcis-31302	33	7	popularity	popularity	NOUN
fcis-31302	33	8	of	of	ADP
fcis-31302	33	9	multi	multi	ADJ
fcis-31302	33	10	-	-	ADJ
fcis-31302	33	11	source	source	NOUN
fcis-31302	33	12	data	data	NOUN
fcis-31302	33	13	acquisition	acquisition	NOUN
fcis-31302	33	14	technology	technology	NOUN
fcis-31302	33	15	(	(	PUNCT
fcis-31302	33	16	such	such	ADJ
fcis-31302	33	17	as	as	ADP
fcis-31302	33	18	high	high	ADJ
fcis-31302	33	19	-	-	PUNCT
fcis-31302	33	20	resolution	resolution	NOUN
fcis-31302	33	21	satellite	satellite	NOUN
fcis-31302	33	22	,	,	PUNCT
fcis-31302	33	23	internet	internet	NOUN
fcis-31302	33	24	of	of	ADP
fcis-31302	33	25	things	thing	NOUN
fcis-31302	33	26	equipment	equipment	NOUN
fcis-31302	33	27	,	,	PUNCT
fcis-31302	33	28	uav	uav	PROPN
fcis-31302	33	29	)	)	PUNCT
fcis-31302	33	30	,	,	PUNCT
fcis-31302	33	31	researchers	researcher	NOUN
fcis-31302	33	32	began	begin	VERB
fcis-31302	33	33	to	to	PART
fcis-31302	33	34	explore	explore	VERB
fcis-31302	33	35	the	the	DET
fcis-31302	33	36	fusion	fusion	NOUN
fcis-31302	33	37	method	method	NOUN
fcis-31302	33	38	of	of	ADP
fcis-31302	33	39	multimodal	multimodal	ADJ
fcis-31302	33	40	data	datum	NOUN
fcis-31302	33	41	to	to	PART
fcis-31302	33	42	improve	improve	VERB
fcis-31302	33	43	the	the	DET
fcis-31302	33	44	monitoring	monitoring	NOUN
fcis-31302	33	45	ability	ability	NOUN
fcis-31302	33	46	.	.	PUNCT
fcis-31302	34	1	zhou	zhou	PROPN
fcis-31302	34	2	reviewed	review	VERB
fcis-31302	34	3	the	the	DET
fcis-31302	34	4	application	application	NOUN
fcis-31302	34	5	of	of	ADP
fcis-31302	34	6	remote	remote	ADJ
fcis-31302	34	7	sensing	sense	VERB
fcis-31302	34	8	technology	technology	NOUN
fcis-31302	34	9	in	in	ADP
fcis-31302	34	10	disaster	disaster	NOUN
fcis-31302	34	11	response	response	NOUN
fcis-31302	34	12	,	,	PUNCT
fcis-31302	34	13	and	and	CCONJ
fcis-31302	34	14	pointed	point	VERB
fcis-31302	34	15	out	out	ADP
fcis-31302	34	16	that	that	SCONJ
fcis-31302	34	17	the	the	DET
fcis-31302	34	18	fusion	fusion	NOUN
fcis-31302	34	19	of	of	ADP
fcis-31302	34	20	multispectral	multispectral	ADJ
fcis-31302	34	21	images	image	NOUN
fcis-31302	34	22	and	and	CCONJ
fcis-31302	34	23	radar	radar	NOUN
fcis-31302	34	24	data	datum	NOUN
fcis-31302	34	25	can	can	AUX
fcis-31302	34	26	significantly	significantly	ADV
fcis-31302	34	27	improve	improve	VERB
fcis-31302	34	28	the	the	DET
fcis-31302	34	29	accuracy	accuracy	NOUN
fcis-31302	34	30	of	of	ADP
fcis-31302	34	31	flood	flood	NOUN
fcis-31302	34	32	and	and	CCONJ
fcis-31302	34	33	landslide	landslide	NOUN
fcis-31302	34	34	monitoring	monitoring	NOUN
fcis-31302	34	35	[	[	X
fcis-31302	34	36	6	6	NUM
fcis-31302	34	37	]	]	PUNCT
fcis-31302	34	38	.	.	PUNCT
fcis-31302	35	1	at	at	ADP
fcis-31302	35	2	the	the	DET
fcis-31302	35	3	algorithm	algorithm	NOUN
fcis-31302	35	4	level	level	NOUN
fcis-31302	35	5	,	,	PUNCT
fcis-31302	35	6	the	the	DET
fcis-31302	35	7	introduction	introduction	NOUN
fcis-31302	35	8	of	of	ADP
fcis-31302	35	9	machine	machine	NOUN
fcis-31302	35	10	learning	learning	NOUN
fcis-31302	35	11	and	and	CCONJ
fcis-31302	35	12	deep	deep	ADJ
fcis-31302	35	13	learning	learning	NOUN
fcis-31302	35	14	promotes	promote	VERB
fcis-31302	35	15	the	the	DET
fcis-31302	35	16	rapid	rapid	ADJ
fcis-31302	35	17	development	development	NOUN
fcis-31302	35	18	of	of	ADP
fcis-31302	35	19	multimodal	multimodal	ADJ
fcis-31302	35	20	fusion	fusion	NOUN
fcis-31302	35	21	.	.	PUNCT
fcis-31302	36	1	early	early	ADJ
fcis-31302	36	2	studies	study	NOUN
fcis-31302	36	3	mostly	mostly	ADV
fcis-31302	36	4	used	use	VERB
fcis-31302	36	5	data	data	NOUN
fcis-31302	36	6	level	level	NOUN
fcis-31302	36	7	or	or	CCONJ
fcis-31302	36	8	feature	feature	NOUN
fcis-31302	36	9	level	level	NOUN
fcis-31302	36	10	fusion	fusion	NOUN
fcis-31302	36	11	methods	method	NOUN
fcis-31302	36	12	,	,	PUNCT
fcis-31302	36	13	for	for	ADP
fcis-31302	36	14	example	example	NOUN
fcis-31302	36	15	,	,	PUNCT
fcis-31302	36	16	integrating	integrate	VERB
fcis-31302	36	17	multisource	multisource	ADJ
fcis-31302	36	18	sensor	sensor	NOUN
fcis-31302	36	19	data	datum	NOUN
fcis-31302	36	20	through	through	ADP
fcis-31302	36	21	weighted	weight	VERB
fcis-31302	36	22	average	average	ADJ
fcis-31302	36	23	or	or	CCONJ
fcis-31302	36	24	kalman	kalman	NOUN
fcis-31302	36	25	filter	filter	NOUN
fcis-31302	37	1	[	[	X
fcis-31302	37	2	7	7	NUM
fcis-31302	37	3	]	]	PUNCT
fcis-31302	37	4	.	.	PUNCT
fcis-31302	38	1	in	in	ADP
fcis-31302	38	2	recent	recent	ADJ
fcis-31302	38	3	years	year	NOUN
fcis-31302	38	4	,	,	PUNCT
fcis-31302	38	5	deep	deep	ADJ
fcis-31302	38	6	learning	learning	NOUN
fcis-31302	38	7	models	model	NOUN
fcis-31302	38	8	have	have	AUX
fcis-31302	38	9	shown	show	VERB
fcis-31302	38	10	great	great	ADJ
fcis-31302	38	11	potential	potential	NOUN
fcis-31302	38	12	in	in	ADP
fcis-31302	38	13	multimodal	multimodal	ADJ
fcis-31302	38	14	fusion	fusion	NOUN
fcis-31302	38	15	.	.	PUNCT
fcis-31302	39	1	qin	qin	PROPN
fcis-31302	39	2	proposed	propose	VERB
fcis-31302	39	3	a	a	DET
fcis-31302	39	4	model	model	NOUN
fcis-31302	39	5	based	base	VERB
fcis-31302	39	6	on	on	ADP
fcis-31302	39	7	deep	deep	ADJ
fcis-31302	39	8	convolutional	convolutional	ADJ
fcis-31302	39	9	neural	neural	ADJ
fcis-31302	39	10	network	network	NOUN
fcis-31302	39	11	,	,	PUNCT
fcis-31302	39	12	which	which	PRON
fcis-31302	39	13	was	be	AUX
fcis-31302	39	14	used	use	VERB
fcis-31302	39	15	to	to	PART
fcis-31302	39	16	fuse	fuse	VERB
fcis-31302	39	17	satellite	satellite	NOUN
fcis-31302	39	18	images	image	NOUN
fcis-31302	39	19	and	and	CCONJ
fcis-31302	39	20	meteorological	meteorological	ADJ
fcis-31302	39	21	data	datum	NOUN
fcis-31302	39	22	to	to	PART
fcis-31302	39	23	predict	predict	VERB
fcis-31302	39	24	typhoon	typhoon	NOUN
fcis-31302	39	25	tracks	track	NOUN
fcis-31302	39	26	,	,	PUNCT
fcis-31302	39	27	and	and	CCONJ
fcis-31302	39	28	achieved	achieve	VERB
fcis-31302	39	29	higher	high	ADJ
fcis-31302	39	30	accuracy	accuracy	NOUN
fcis-31302	39	31	than	than	ADP
fcis-31302	39	32	traditional	traditional	ADJ
fcis-31302	39	33	methods	method	NOUN
fcis-31302	39	34	[	[	X
fcis-31302	39	35	8	8	NUM
fcis-31302	39	36	]	]	PUNCT
fcis-31302	39	37	.	.	PUNCT
fcis-31302	40	1	social	social	ADJ
fcis-31302	40	2	media	medium	NOUN
fcis-31302	40	3	data	datum	NOUN
fcis-31302	40	4	provides	provide	VERB
fcis-31302	40	5	a	a	DET
fcis-31302	40	6	new	new	ADJ
fcis-31302	40	7	perspective	perspective	NOUN
fcis-31302	40	8	for	for	ADP
fcis-31302	40	9	disaster	disaster	NOUN
fcis-31302	40	10	monitoring	monitoring	NOUN
fcis-31302	40	11	.	.	PUNCT
fcis-31302	41	1	ahuja	ahuja	PROPN
fcis-31302	41	2	has	have	AUX
fcis-31302	41	3	built	build	VERB
fcis-31302	41	4	a	a	DET
fcis-31302	41	5	real	real	ADJ
fcis-31302	41	6	-	-	PUNCT
fcis-31302	41	7	time	time	NOUN
fcis-31302	41	8	flood	flood	NOUN
fcis-31302	41	9	monitoring	monitoring	NOUN
fcis-31302	41	10	system	system	NOUN
fcis-31302	41	11	by	by	ADP
fcis-31302	41	12	integrating	integrate	VERB
fcis-31302	41	13	twitter	twitter	NOUN
fcis-31302	41	14	text	text	NOUN
fcis-31302	41	15	data	datum	NOUN
fcis-31302	41	16	and	and	CCONJ
fcis-31302	41	17	remote	remote	ADJ
fcis-31302	41	18	sensing	sensing	NOUN
fcis-31302	41	19	images	image	NOUN
fcis-31302	41	20	,	,	PUNCT
fcis-31302	41	21	significantly	significantly	ADV
fcis-31302	41	22	reducing	reduce	VERB
fcis-31302	41	23	the	the	DET
fcis-31302	41	24	warning	warning	NOUN
fcis-31302	41	25	time	time	NOUN
fcis-31302	41	26	[	[	X
fcis-31302	41	27	9	9	NUM
fcis-31302	41	28	]	]	PUNCT
fcis-31302	41	29	.	.	PUNCT
fcis-31302	42	1	however	however	ADV
fcis-31302	42	2	,	,	PUNCT
fcis-31302	42	3	the	the	DET
fcis-31302	42	4	current	current	ADJ
fcis-31302	42	5	research	research	NOUN
fcis-31302	42	6	on	on	ADP
fcis-31302	42	7	multimodal	multimodal	NOUN
fcis-31302	42	8	information	information	NOUN
fcis-31302	42	9	fusion	fusion	NOUN
fcis-31302	42	10	still	still	ADV
fcis-31302	42	11	faces	face	VERB
fcis-31302	42	12	some	some	DET
fcis-31302	42	13	limitations	limitation	NOUN
fcis-31302	42	14	.	.	PUNCT
fcis-31302	43	1	firstly	firstly	ADV
fcis-31302	43	2	,	,	PUNCT
fcis-31302	43	3	the	the	DET
fcis-31302	43	4	data	datum	NOUN
fcis-31302	43	5	heterogeneity	heterogeneity	NOUN
fcis-31302	43	6	and	and	CCONJ
fcis-31302	43	7	modal	modal	ADJ
fcis-31302	43	8	missing	miss	VERB
fcis-31302	43	9	problems	problem	NOUN
fcis-31302	43	10	limit	limit	VERB
fcis-31302	43	11	the	the	DET
fcis-31302	43	12	fusion	fusion	NOUN
fcis-31302	43	13	effect	effect	NOUN
fcis-31302	43	14	.	.	PUNCT
fcis-31302	44	1	remote	remote	ADJ
fcis-31302	44	2	sensing	sense	VERB
fcis-31302	44	3	data	datum	NOUN
fcis-31302	44	4	may	may	AUX
fcis-31302	44	5	fail	fail	VERB
fcis-31302	44	6	due	due	ADP
fcis-31302	44	7	to	to	ADP
fcis-31302	44	8	cloud	cloud	ADJ
fcis-31302	44	9	cover	cover	NOUN
fcis-31302	44	10	,	,	PUNCT
fcis-31302	44	11	while	while	SCONJ
fcis-31302	44	12	social	social	ADJ
fcis-31302	44	13	media	medium	NOUN
fcis-31302	44	14	data	datum	NOUN
fcis-31302	44	15	may	may	AUX
fcis-31302	44	16	contain	contain	VERB
fcis-31302	44	17	a	a	DET
fcis-31302	44	18	lot	lot	NOUN
fcis-31302	44	19	of	of	ADP
fcis-31302	44	20	noise	noise	NOUN
fcis-31302	44	21	[	[	X
fcis-31302	44	22	10	10	NUM
fcis-31302	44	23	]	]	PUNCT
fcis-31302	44	24	.	.	PUNCT
fcis-31302	45	1	secondly	secondly	ADV
fcis-31302	45	2	,	,	PUNCT
fcis-31302	45	3	the	the	DET
fcis-31302	45	4	real	real	ADJ
fcis-31302	45	5	-	-	PUNCT
fcis-31302	45	6	time	time	NOUN
fcis-31302	45	7	requirements	requirement	NOUN
fcis-31302	45	8	put	put	VERB
fcis-31302	45	9	forward	forward	ADV
fcis-31302	45	10	high	high	ADJ
fcis-31302	45	11	requirements	requirement	NOUN
fcis-31302	45	12	for	for	ADP
fcis-31302	45	13	computing	compute	VERB
fcis-31302	45	14	resources	resource	NOUN
fcis-31302	45	15	,	,	PUNCT
fcis-31302	45	16	especially	especially	ADV
fcis-31302	45	17	when	when	SCONJ
fcis-31302	45	18	deploying	deploy	VERB
fcis-31302	45	19	complex	complex	ADJ
fcis-31302	45	20	models	model	NOUN
fcis-31302	45	21	on	on	ADP
fcis-31302	45	22	edge	edge	NOUN
fcis-31302	45	23	devices	device	NOUN
fcis-31302	45	24	.	.	PUNCT
fcis-31302	46	1	in	in	ADP
fcis-31302	46	2	addition	addition	NOUN
fcis-31302	46	3	,	,	PUNCT
fcis-31302	46	4	the	the	DET
fcis-31302	46	5	semantic	semantic	ADJ
fcis-31302	46	6	consistency	consistency	NOUN
fcis-31302	46	7	and	and	CCONJ
fcis-31302	46	8	timing	timing	NOUN
fcis-31302	46	9	synchronization	synchronization	NOUN
fcis-31302	46	10	of	of	ADP
fcis-31302	46	11	cross	cross	NOUN
fcis-31302	46	12	modal	modal	NOUN
fcis-31302	46	13	data	datum	NOUN
fcis-31302	46	14	have	have	AUX
fcis-31302	46	15	not	not	PART
fcis-31302	46	16	been	be	AUX
fcis-31302	46	17	fully	fully	ADV
fcis-31302	46	18	solved	solve	VERB
fcis-31302	46	19	.	.	PUNCT
fcis-31302	47	1	these	these	DET
fcis-31302	47	2	challenges	challenge	NOUN
fcis-31302	47	3	prompt	prompt	VERB
fcis-31302	47	4	researchers	researcher	NOUN
fcis-31302	47	5	to	to	PART
fcis-31302	47	6	explore	explore	VERB
fcis-31302	47	7	more	more	ADV
fcis-31302	47	8	advanced	advanced	ADJ
fcis-31302	47	9	fusion	fusion	NOUN
fcis-31302	47	10	methods	method	NOUN
fcis-31302	47	11	,	,	PUNCT
fcis-31302	47	12	such	such	ADJ
fcis-31302	47	13	as	as	ADP
fcis-31302	47	14	transformer	transformer	NOUN
fcis-31302	47	15	based	base	VERB
fcis-31302	47	16	multimodal	multimodal	NOUN
fcis-31302	47	17	model	model	NOUN
fcis-31302	47	18	and	and	CCONJ
fcis-31302	47	19	federated	federated	ADJ
fcis-31302	47	20	learning	learning	NOUN
fcis-31302	47	21	technology	technology	NOUN
fcis-31302	48	1	[	[	X
fcis-31302	48	2	11	11	NUM
fcis-31302	48	3	]	]	PUNCT
fcis-31302	48	4	.	.	PUNCT
fcis-31302	49	1	1.3	1.3	NUM
fcis-31302	49	2	.	.	PUNCT
fcis-31302	49	3	overview	overview	NOUN
fcis-31302	49	4	objectives	objective	NOUN
fcis-31302	49	5	and	and	CCONJ
fcis-31302	49	6	structure	structure	NOUN
fcis-31302	49	7	this	this	DET
fcis-31302	49	8	paper	paper	NOUN
fcis-31302	49	9	aims	aim	VERB
fcis-31302	49	10	to	to	PART
fcis-31302	49	11	systematically	systematically	ADV
fcis-31302	49	12	review	review	VERB
fcis-31302	49	13	the	the	DET
fcis-31302	49	14	latest	late	ADJ
fcis-31302	49	15	research	research	NOUN
fcis-31302	49	16	progress	progress	NOUN
fcis-31302	49	17	of	of	ADP
fcis-31302	49	18	multimodal	multimodal	ADJ
fcis-31302	49	19	information	information	NOUN
fcis-31302	49	20	fusion	fusion	NOUN
fcis-31302	49	21	in	in	ADP
fcis-31302	49	22	the	the	DET
fcis-31302	49	23	field	field	NOUN
fcis-31302	49	24	of	of	ADP
fcis-31302	49	25	realtime	realtime	ADJ
fcis-31302	49	26	intelligent	intelligent	ADJ
fcis-31302	49	27	monitoring	monitoring	NOUN
fcis-31302	49	28	and	and	CCONJ
fcis-31302	49	29	early	early	ADJ
fcis-31302	49	30	warning	warning	NOUN
fcis-31302	49	31	of	of	ADP
fcis-31302	49	32	natural	natural	ADJ
fcis-31302	49	33	disasters	disaster	NOUN
fcis-31302	49	34	,	,	PUNCT
fcis-31302	49	35	and	and	CCONJ
fcis-31302	49	36	analyze	analyze	VERB
fcis-31302	49	37	the	the	DET
fcis-31302	49	38	key	key	ADJ
fcis-31302	49	39	technologies	technology	NOUN
fcis-31302	49	40	,	,	PUNCT
fcis-31302	49	41	typical	typical	ADJ
fcis-31302	49	42	applications	application	NOUN
fcis-31302	49	43	,	,	PUNCT
fcis-31302	49	44	existing	exist	VERB
fcis-31302	49	45	challenges	challenge	NOUN
fcis-31302	49	46	and	and	CCONJ
fcis-31302	49	47	future	future	ADJ
fcis-31302	49	48	directions	direction	NOUN
fcis-31302	49	49	.	.	PUNCT
fcis-31302	50	1	the	the	DET
fcis-31302	50	2	specific	specific	ADJ
fcis-31302	50	3	objectives	objective	NOUN
fcis-31302	50	4	include	include	VERB
fcis-31302	50	5	:	:	PUNCT
fcis-31302	50	6	(	(	PUNCT
fcis-31302	50	7	1	1	X
fcis-31302	50	8	)	)	PUNCT
fcis-31302	50	9	summarizing	summarize	VERB
fcis-31302	50	10	the	the	DET
fcis-31302	50	11	theoretical	theoretical	ADJ
fcis-31302	50	12	basis	basis	NOUN
fcis-31302	50	13	and	and	CCONJ
fcis-31302	50	14	core	core	NOUN
fcis-31302	50	15	technology	technology	NOUN
fcis-31302	50	16	of	of	ADP
fcis-31302	50	17	multimodal	multimodal	NOUN
fcis-31302	50	18	information	information	NOUN
fcis-31302	50	19	fusion	fusion	NOUN
fcis-31302	50	20	;	;	PUNCT
fcis-31302	50	21	(	(	PUNCT
fcis-31302	50	22	2	2	X
fcis-31302	50	23	)	)	PUNCT
fcis-31302	50	24	evaluate	evaluate	VERB
fcis-31302	50	25	its	its	PRON
fcis-31302	50	26	application	application	NOUN
fcis-31302	50	27	effect	effect	NOUN
fcis-31302	50	28	in	in	ADP
fcis-31302	50	29	the	the	DET
fcis-31302	50	30	monitoring	monitoring	NOUN
fcis-31302	50	31	of	of	ADP
fcis-31302	50	32	typical	typical	ADJ
fcis-31302	50	33	natural	natural	ADJ
fcis-31302	50	34	disasters	disaster	NOUN
fcis-31302	50	35	such	such	ADJ
fcis-31302	50	36	as	as	ADP
fcis-31302	50	37	earthquakes	earthquake	NOUN
fcis-31302	50	38	,	,	PUNCT
fcis-31302	50	39	floods	flood	NOUN
fcis-31302	50	40	,	,	PUNCT
fcis-31302	50	41	typhoons	typhoon	NOUN
fcis-31302	50	42	;	;	PUNCT
fcis-31302	50	43	(	(	PUNCT
fcis-31302	50	44	3	3	X
fcis-31302	50	45	)	)	PUNCT
fcis-31302	50	46	discuss	discuss	VERB
fcis-31302	50	47	the	the	DET
fcis-31302	50	48	challenges	challenge	NOUN
fcis-31302	50	49	of	of	ADP
fcis-31302	50	50	current	current	ADJ
fcis-31302	50	51	research	research	NOUN
fcis-31302	50	52	and	and	CCONJ
fcis-31302	50	53	potential	potential	ADJ
fcis-31302	50	54	solutions	solution	NOUN
fcis-31302	50	55	;	;	PUNCT
fcis-31302	50	56	(	(	PUNCT
fcis-31302	50	57	4	4	X
fcis-31302	50	58	)	)	PUNCT
fcis-31302	50	59	the	the	DET
fcis-31302	50	60	future	future	ADJ
fcis-31302	50	61	development	development	NOUN
fcis-31302	50	62	direction	direction	NOUN
fcis-31302	50	63	of	of	ADP
fcis-31302	50	64	multimodal	multimodal	ADJ
fcis-31302	50	65	fusion	fusion	NOUN
fcis-31302	50	66	technology	technology	NOUN
fcis-31302	50	67	in	in	ADP
fcis-31302	50	68	disaster	disaster	NOUN
fcis-31302	50	69	monitoring	monitoring	NOUN
fcis-31302	50	70	is	be	AUX
fcis-31302	50	71	prospected	prospect	VERB
fcis-31302	50	72	.	.	PUNCT
fcis-31302	51	1	through	through	ADP
fcis-31302	51	2	system	system	NOUN
fcis-31302	51	3	analysis	analysis	NOUN
fcis-31302	51	4	,	,	PUNCT
fcis-31302	51	5	this	this	DET
fcis-31302	51	6	paper	paper	NOUN
fcis-31302	51	7	aims	aim	VERB
fcis-31302	51	8	to	to	PART
fcis-31302	51	9	provide	provide	VERB
fcis-31302	51	10	a	a	DET
fcis-31302	51	11	comprehensive	comprehensive	ADJ
fcis-31302	51	12	reference	reference	NOUN
fcis-31302	51	13	framework	framework	NOUN
fcis-31302	51	14	for	for	ADP
fcis-31302	51	15	researchers	researcher	NOUN
fcis-31302	51	16	and	and	CCONJ
fcis-31302	51	17	practitioners	practitioner	NOUN
fcis-31302	51	18	,	,	PUNCT
fcis-31302	51	19	and	and	CCONJ
fcis-31302	51	20	promote	promote	VERB
fcis-31302	51	21	the	the	DET
fcis-31302	51	22	further	further	ADJ
fcis-31302	51	23	development	development	NOUN
fcis-31302	51	24	of	of	ADP
fcis-31302	51	25	multimodal	multimodal	ADJ
fcis-31302	51	26	information	information	NOUN
fcis-31302	51	27	fusion	fusion	NOUN
fcis-31302	51	28	technology	technology	NOUN
fcis-31302	51	29	in	in	ADP
fcis-31302	51	30	the	the	DET
fcis-31302	51	31	field	field	NOUN
fcis-31302	51	32	of	of	ADP
fcis-31302	51	33	natural	natural	ADJ
fcis-31302	51	34	disaster	disaster	NOUN
fcis-31302	51	35	monitoring	monitoring	NOUN
fcis-31302	51	36	and	and	CCONJ
fcis-31302	51	37	early	early	ADJ
fcis-31302	51	38	warning	warning	NOUN
fcis-31302	51	39	.	.	PUNCT
fcis-31302	52	1	2	2	X
fcis-31302	52	2	.	.	X
fcis-31302	52	3	theoretical	theoretical	ADJ
fcis-31302	52	4	basis	basis	NOUN
fcis-31302	52	5	of	of	ADP
fcis-31302	52	6	multimodal	multimodal	ADJ
fcis-31302	52	7	information	information	NOUN
fcis-31302	52	8	fusion	fusion	NOUN
fcis-31302	52	9	as	as	ADP
fcis-31302	52	10	the	the	DET
fcis-31302	52	11	core	core	NOUN
fcis-31302	52	12	technology	technology	NOUN
fcis-31302	52	13	of	of	ADP
fcis-31302	52	14	real	real	ADJ
fcis-31302	52	15	-	-	PUNCT
fcis-31302	52	16	time	time	NOUN
fcis-31302	52	17	intelligent	intelligent	ADJ
fcis-31302	52	18	monitoring	monitoring	NOUN
fcis-31302	52	19	and	and	CCONJ
fcis-31302	52	20	early	early	ADJ
fcis-31302	52	21	warning	warning	NOUN
fcis-31302	52	22	of	of	ADP
fcis-31302	52	23	natural	natural	ADJ
fcis-31302	52	24	disasters	disaster	NOUN
fcis-31302	52	25	,	,	PUNCT
fcis-31302	52	26	multimodal	multimodal	ADJ
fcis-31302	52	27	information	information	NOUN
fcis-31302	52	28	fusion	fusion	NOUN
fcis-31302	52	29	aims	aim	VERB
fcis-31302	52	30	to	to	PART
fcis-31302	52	31	improve	improve	VERB
fcis-31302	52	32	the	the	DET
fcis-31302	52	33	accuracy	accuracy	NOUN
fcis-31302	52	34	of	of	ADP
fcis-31302	52	35	disaster	disaster	NOUN
fcis-31302	52	36	monitoring	monitoring	NOUN
fcis-31302	52	37	and	and	CCONJ
fcis-31302	52	38	the	the	DET
fcis-31302	52	39	timeliness	timeliness	NOUN
fcis-31302	52	40	of	of	ADP
fcis-31302	52	41	early	early	ADJ
fcis-31302	52	42	warning	warning	NOUN
fcis-31302	52	43	by	by	ADP
fcis-31302	52	44	integrating	integrate	VERB
fcis-31302	52	45	a	a	DET
fcis-31302	52	46	variety	variety	NOUN
fcis-31302	52	47	of	of	ADP
fcis-31302	52	48	heterogeneous	heterogeneous	ADJ
fcis-31302	52	49	data	datum	NOUN
fcis-31302	52	50	sources	source	NOUN
fcis-31302	52	51	and	and	CCONJ
fcis-31302	52	52	mining	mine	VERB
fcis-31302	52	53	the	the	DET
fcis-31302	52	54	complementarity	complementarity	NOUN
fcis-31302	52	55	and	and	CCONJ
fcis-31302	52	56	redundancy	redundancy	NOUN
fcis-31302	52	57	of	of	ADP
fcis-31302	52	58	data	datum	NOUN
fcis-31302	52	59	.	.	PUNCT
fcis-31302	53	1	this	this	DET
fcis-31302	53	2	section	section	NOUN
fcis-31302	53	3	will	will	AUX
fcis-31302	53	4	systematically	systematically	ADV
fcis-31302	53	5	elaborate	elaborate	VERB
fcis-31302	53	6	the	the	DET
fcis-31302	53	7	theoretical	theoretical	ADJ
fcis-31302	53	8	basis	basis	NOUN
fcis-31302	53	9	of	of	ADP
fcis-31302	53	10	multimodal	multimodal	ADJ
fcis-31302	53	11	information	information	NOUN
fcis-31302	53	12	fusion	fusion	NOUN
fcis-31302	53	13	from	from	ADP
fcis-31302	53	14	three	three	NUM
fcis-31302	53	15	aspects	aspect	NOUN
fcis-31302	53	16	:	:	PUNCT
fcis-31302	53	17	the	the	DET
fcis-31302	53	18	definition	definition	NOUN
fcis-31302	53	19	and	and	CCONJ
fcis-31302	53	20	characteristics	characteristic	NOUN
fcis-31302	53	21	of	of	ADP
fcis-31302	53	22	multimodal	multimodal	NOUN
fcis-31302	53	23	information	information	NOUN
fcis-31302	53	24	,	,	PUNCT
fcis-31302	53	25	the	the	DET
fcis-31302	53	26	theoretical	theoretical	ADJ
fcis-31302	53	27	framework	framework	NOUN
fcis-31302	53	28	of	of	ADP
fcis-31302	53	29	information	information	NOUN
fcis-31302	53	30	fusion	fusion	NOUN
fcis-31302	53	31	and	and	CCONJ
fcis-31302	53	32	its	its	PRON
fcis-31302	53	33	applicability	applicability	NOUN
fcis-31302	53	34	in	in	ADP
fcis-31302	53	35	natural	natural	ADJ
fcis-31302	53	36	disaster	disaster	NOUN
fcis-31302	53	37	monitoring	monitoring	NOUN
fcis-31302	53	38	.	.	PUNCT
fcis-31302	54	1	2.1	2.1	NUM
fcis-31302	54	2	.	.	PUNCT
fcis-31302	54	3	definition	definition	NOUN
fcis-31302	54	4	and	and	CCONJ
fcis-31302	54	5	characteristics	characteristic	NOUN
fcis-31302	54	6	of	of	ADP
fcis-31302	54	7	multimodal	multimodal	ADJ
fcis-31302	54	8	information	information	NOUN
fcis-31302	54	9	multimodal	multimodal	NOUN
fcis-31302	54	10	information	information	NOUN
fcis-31302	54	11	refers	refer	VERB
fcis-31302	54	12	to	to	ADP
fcis-31302	54	13	a	a	DET
fcis-31302	54	14	collection	collection	NOUN
fcis-31302	54	15	of	of	ADP
fcis-31302	54	16	data	datum	NOUN
fcis-31302	54	17	from	from	ADP
fcis-31302	54	18	different	different	ADJ
fcis-31302	54	19	sources	source	NOUN
fcis-31302	54	20	,	,	PUNCT
fcis-31302	54	21	different	different	ADJ
fcis-31302	54	22	formats	format	NOUN
fcis-31302	54	23	or	or	CCONJ
fcis-31302	54	24	different	different	ADJ
fcis-31302	54	25	physical	physical	ADJ
fcis-31302	54	26	attributes	attribute	NOUN
fcis-31302	54	27	,	,	PUNCT
fcis-31302	54	28	which	which	PRON
fcis-31302	54	29	collectively	collectively	ADV
fcis-31302	54	30	describe	describe	VERB
fcis-31302	54	31	the	the	DET
fcis-31302	54	32	same	same	ADJ
fcis-31302	54	33	phenomenon	phenomenon	NOUN
fcis-31302	54	34	or	or	CCONJ
fcis-31302	54	35	event	event	NOUN
fcis-31302	54	36	.	.	PUNCT
fcis-31302	55	1	in	in	ADP
fcis-31302	55	2	natural	natural	ADJ
fcis-31302	55	3	disaster	disaster	NOUN
fcis-31302	55	4	monitoring	monitoring	NOUN
fcis-31302	55	5	,	,	PUNCT
fcis-31302	55	6	multimodal	multimodal	ADJ
fcis-31302	55	7	data	datum	NOUN
fcis-31302	55	8	usually	usually	ADV
fcis-31302	55	9	includes	include	VERB
fcis-31302	55	10	but	but	CCONJ
fcis-31302	55	11	is	be	AUX
fcis-31302	55	12	not	not	PART
fcis-31302	55	13	limited	limit	VERB
fcis-31302	55	14	to	to	ADP
fcis-31302	55	15	the	the	DET
fcis-31302	55	16	following	follow	VERB
fcis-31302	55	17	types	type	NOUN
fcis-31302	55	18	:	:	PUNCT
fcis-31302	55	19	(	(	PUNCT
fcis-31302	55	20	1	1	X
fcis-31302	55	21	)	)	PUNCT
fcis-31302	55	22	image	image	NOUN
fcis-31302	55	23	data	datum	NOUN
fcis-31302	55	24	:	:	PUNCT
fcis-31302	55	25	such	such	ADJ
fcis-31302	55	26	as	as	ADP
fcis-31302	55	27	satellite	satellite	NOUN
fcis-31302	55	28	remote	remote	ADJ
fcis-31302	55	29	sensing	sensing	NOUN
fcis-31302	55	30	images	image	NOUN
fcis-31302	55	31	(	(	PUNCT
fcis-31302	55	32	optical	optical	ADJ
fcis-31302	55	33	,	,	PUNCT
fcis-31302	55	34	radar	radar	NOUN
fcis-31302	55	35	)	)	PUNCT
fcis-31302	55	36	and	and	CCONJ
fcis-31302	55	37	uav	uav	PROPN
fcis-31302	55	38	aerial	aerial	ADJ
fcis-31302	55	39	images	image	NOUN
fcis-31302	55	40	,	,	PUNCT
fcis-31302	55	41	which	which	PRON
fcis-31302	55	42	are	be	AUX
fcis-31302	55	43	used	use	VERB
fcis-31302	55	44	to	to	PART
fcis-31302	55	45	capture	capture	VERB
fcis-31302	55	46	surface	surface	NOUN
fcis-31302	55	47	changes	change	NOUN
fcis-31302	55	48	,	,	PUNCT
fcis-31302	55	49	flood	flood	NOUN
fcis-31302	55	50	range	range	NOUN
fcis-31302	55	51	or	or	CCONJ
fcis-31302	55	52	landslide	landslide	NOUN
fcis-31302	55	53	deformation	deformation	NOUN
fcis-31302	56	1	[	[	X
fcis-31302	56	2	6	6	NUM
fcis-31302	56	3	]	]	PUNCT
fcis-31302	56	4	.	.	PUNCT
fcis-31302	57	1	(	(	PUNCT
fcis-31302	57	2	2	2	NUM
fcis-31302	57	3	)	)	PUNCT
fcis-31302	57	4	time	time	NOUN
fcis-31302	57	5	series	series	PROPN
fcis-31302	57	6	data	data	PROPN
fcis-31302	57	7	:	:	PUNCT
fcis-31302	57	8	such	such	ADJ
fcis-31302	57	9	as	as	ADP
fcis-31302	57	10	seismic	seismic	ADJ
fcis-31302	57	11	wave	wave	NOUN
fcis-31302	57	12	data	datum	NOUN
fcis-31302	57	13	of	of	ADP
fcis-31302	57	14	seismograph	seismograph	NOUN
fcis-31302	57	15	,	,	PUNCT
fcis-31302	57	16	water	water	NOUN
fcis-31302	57	17	level	level	NOUN
fcis-31302	57	18	data	datum	NOUN
fcis-31302	57	19	of	of	ADP
fcis-31302	57	20	hydrological	hydrological	ADJ
fcis-31302	57	21	station	station	NOUN
fcis-31302	57	22	,	,	PUNCT
fcis-31302	57	23	rainfall	rainfall	NOUN
fcis-31302	57	24	and	and	CCONJ
fcis-31302	57	25	wind	wind	NOUN
fcis-31302	57	26	speed	speed	NOUN
fcis-31302	57	27	data	datum	NOUN
fcis-31302	57	28	of	of	ADP
fcis-31302	57	29	meteorological	meteorological	ADJ
fcis-31302	57	30	station	station	NOUN
fcis-31302	57	31	,	,	PUNCT
fcis-31302	57	32	which	which	PRON
fcis-31302	57	33	are	be	AUX
fcis-31302	57	34	used	use	VERB
fcis-31302	57	35	to	to	PART
fcis-31302	57	36	monitor	monitor	VERB
fcis-31302	57	37	dynamic	dynamic	ADJ
fcis-31302	57	38	changes	change	NOUN
fcis-31302	57	39	[	[	X
fcis-31302	57	40	5	5	NUM
fcis-31302	57	41	]	]	PUNCT
fcis-31302	57	42	.	.	PUNCT
fcis-31302	58	1	(	(	PUNCT
fcis-31302	58	2	3	3	X
fcis-31302	58	3	)	)	PUNCT
fcis-31302	58	4	text	text	NOUN
fcis-31302	58	5	data	datum	NOUN
fcis-31302	58	6	:	:	PUNCT
fcis-31302	58	7	such	such	ADJ
fcis-31302	58	8	as	as	ADP
fcis-31302	58	9	social	social	ADJ
fcis-31302	58	10	media	medium	NOUN
fcis-31302	58	11	posts	post	NOUN
fcis-31302	58	12	and	and	CCONJ
fcis-31302	58	13	news	news	NOUN
fcis-31302	58	14	reports	report	NOUN
fcis-31302	58	15	,	,	PUNCT
fcis-31302	58	16	used	use	VERB
fcis-31302	58	17	to	to	PART
fcis-31302	58	18	reflect	reflect	VERB
fcis-31302	58	19	public	public	ADJ
fcis-31302	58	20	feedback	feedback	NOUN
fcis-31302	58	21	and	and	CCONJ
fcis-31302	58	22	disaster	disaster	NOUN
fcis-31302	58	23	impact	impact	NOUN
fcis-31302	58	24	[	[	X
fcis-31302	58	25	9	9	NUM
fcis-31302	58	26	]	]	PUNCT
fcis-31302	58	27	.	.	PUNCT
fcis-31302	59	1	(	(	PUNCT
fcis-31302	59	2	4	4	X
fcis-31302	59	3	)	)	PUNCT
fcis-31302	59	4	video	video	NOUN
fcis-31302	59	5	and	and	CCONJ
fcis-31302	59	6	audio	audio	NOUN
fcis-31302	59	7	data	datum	NOUN
fcis-31302	59	8	:	:	PUNCT
fcis-31302	59	9	such	such	ADJ
fcis-31302	59	10	as	as	ADP
fcis-31302	59	11	uav	uav	PROPN
fcis-31302	59	12	video	video	NOUN
fcis-31302	59	13	and	and	CCONJ
fcis-31302	59	14	audio	audio	NOUN
fcis-31302	59	15	signal	signal	NOUN
fcis-31302	59	16	at	at	ADP
fcis-31302	59	17	the	the	DET
fcis-31302	59	18	earthquake	earthquake	NOUN
fcis-31302	59	19	site	site	NOUN
fcis-31302	59	20	,	,	PUNCT
fcis-31302	59	21	which	which	PRON
fcis-31302	59	22	are	be	AUX
fcis-31302	59	23	used	use	VERB
fcis-31302	59	24	to	to	PART
fcis-31302	59	25	provide	provide	VERB
fcis-31302	59	26	realtime	realtime	ADJ
fcis-31302	59	27	dynamic	dynamic	ADJ
fcis-31302	59	28	information	information	NOUN
fcis-31302	59	29	.	.	PUNCT
fcis-31302	60	1	the	the	DET
fcis-31302	60	2	core	core	NOUN
fcis-31302	60	3	features	feature	NOUN
fcis-31302	60	4	of	of	ADP
fcis-31302	60	5	multimodal	multimodal	NOUN
fcis-31302	60	6	data	datum	NOUN
fcis-31302	60	7	include	include	VERB
fcis-31302	60	8	:	:	PUNCT
fcis-31302	60	9	(	(	PUNCT
fcis-31302	60	10	1	1	X
fcis-31302	60	11	)	)	PUNCT
fcis-31302	60	12	heterogeneity	heterogeneity	NOUN
fcis-31302	60	13	:	:	PUNCT
fcis-31302	60	14	the	the	DET
fcis-31302	60	15	format	format	NOUN
fcis-31302	60	16	,	,	PUNCT
fcis-31302	60	17	resolution	resolution	NOUN
fcis-31302	60	18	and	and	CCONJ
fcis-31302	60	19	acquisition	acquisition	NOUN
fcis-31302	60	20	method	method	NOUN
fcis-31302	60	21	of	of	ADP
fcis-31302	60	22	different	different	ADJ
fcis-31302	60	23	modal	modal	ADJ
fcis-31302	60	24	data	datum	NOUN
fcis-31302	60	25	are	be	AUX
fcis-31302	60	26	significantly	significantly	ADV
fcis-31302	60	27	different	different	ADJ
fcis-31302	60	28	.	.	PUNCT
fcis-31302	61	1	for	for	ADP
fcis-31302	61	2	example	example	NOUN
fcis-31302	61	3	,	,	PUNCT
fcis-31302	61	4	remote	remote	ADJ
fcis-31302	61	5	sensing	sensing	NOUN
fcis-31302	61	6	images	image	NOUN
fcis-31302	61	7	are	be	AUX
fcis-31302	61	8	high	high	ADJ
fcis-31302	61	9	-	-	PUNCT
fcis-31302	61	10	dimensional	dimensional	ADJ
fcis-31302	61	11	spatial	spatial	ADJ
fcis-31302	61	12	data	datum	NOUN
fcis-31302	61	13	,	,	PUNCT
fcis-31302	61	14	while	while	SCONJ
fcis-31302	61	15	seismic	seismic	ADJ
fcis-31302	61	16	data	datum	NOUN
fcis-31302	61	17	are	be	AUX
fcis-31302	61	18	time	time	NOUN
fcis-31302	61	19	series	series	NOUN
fcis-31302	61	20	,	,	PUNCT
fcis-31302	61	21	so	so	SCONJ
fcis-31302	61	22	the	the	DET
fcis-31302	61	23	processing	processing	NOUN
fcis-31302	61	24	methods	method	NOUN
fcis-31302	61	25	are	be	AUX
fcis-31302	61	26	quite	quite	ADV
fcis-31302	61	27	different	different	ADJ
fcis-31302	61	28	.	.	PUNCT
fcis-31302	62	1	(	(	PUNCT
fcis-31302	62	2	2	2	X
fcis-31302	62	3	)	)	PUNCT
fcis-31302	62	4	complementarity	complementarity	NOUN
fcis-31302	62	5	:	:	PUNCT
fcis-31302	62	6	each	each	DET
fcis-31302	62	7	mode	mode	NOUN
fcis-31302	62	8	provides	provide	VERB
fcis-31302	62	9	a	a	DET
fcis-31302	62	10	unique	unique	ADJ
fcis-31302	62	11	perspective	perspective	NOUN
fcis-31302	62	12	to	to	PART
fcis-31302	62	13	make	make	VERB
fcis-31302	62	14	up	up	ADP
fcis-31302	62	15	for	for	ADP
fcis-31302	62	16	the	the	DET
fcis-31302	62	17	limitations	limitation	NOUN
fcis-31302	62	18	of	of	ADP
fcis-31302	62	19	a	a	DET
fcis-31302	62	20	single	single	ADJ
fcis-31302	62	21	mode	mode	NOUN
fcis-31302	62	22	.	.	PUNCT
fcis-31302	63	1	for	for	ADP
fcis-31302	63	2	example	example	NOUN
fcis-31302	63	3	,	,	PUNCT
fcis-31302	63	4	remote	remote	ADJ
fcis-31302	63	5	sensing	sensing	NOUN
fcis-31302	63	6	images	image	NOUN
fcis-31302	63	7	can	can	AUX
fcis-31302	63	8	provide	provide	VERB
fcis-31302	63	9	large	large	ADJ
fcis-31302	63	10	-	-	PUNCT
fcis-31302	63	11	scale	scale	NOUN
fcis-31302	63	12	flood	flood	NOUN
fcis-31302	63	13	distribution	distribution	NOUN
fcis-31302	63	14	,	,	PUNCT
fcis-31302	63	15	but	but	CCONJ
fcis-31302	63	16	lack	lack	NOUN
fcis-31302	63	17	ground	ground	NOUN
fcis-31302	63	18	details	detail	NOUN
fcis-31302	63	19	,	,	PUNCT
fcis-31302	63	20	while	while	SCONJ
fcis-31302	63	21	ground	ground	NOUN
fcis-31302	63	22	sensor	sensor	NOUN
fcis-31302	63	23	data	datum	NOUN
fcis-31302	63	24	can	can	AUX
fcis-31302	63	25	provide	provide	VERB
fcis-31302	63	26	high	high	ADJ
fcis-31302	63	27	-	-	PUNCT
fcis-31302	63	28	precision	precision	NOUN
fcis-31302	63	29	local	local	ADJ
fcis-31302	63	30	information	information	NOUN
fcis-31302	64	1	[	[	X
fcis-31302	64	2	2	2	NUM
fcis-31302	64	3	]	]	PUNCT
fcis-31302	64	4	.	.	PUNCT
fcis-31302	65	1	(	(	PUNCT
fcis-31302	65	2	3	3	X
fcis-31302	65	3	)	)	PUNCT
fcis-31302	65	4	redundancy	redundancy	NOUN
fcis-31302	65	5	:	:	PUNCT
fcis-31302	65	6	multimodal	multimodal	NOUN
fcis-31302	65	7	data	datum	NOUN
fcis-31302	65	8	may	may	AUX
fcis-31302	65	9	have	have	VERB
fcis-31302	65	10	over	over	ADV
fcis-31302	65	11	-	-	PUNCT
fcis-31302	65	12	lapping	lap	VERB
fcis-31302	65	13	information	information	NOUN
fcis-31302	65	14	in	in	ADP
fcis-31302	65	15	some	some	DET
fcis-31302	65	16	aspects	aspect	NOUN
fcis-31302	65	17	,	,	PUNCT
fcis-31302	65	18	which	which	PRON
fcis-31302	65	19	helps	help	VERB
fcis-31302	65	20	to	to	PART
fcis-31302	65	21	improve	improve	VERB
fcis-31302	65	22	the	the	DET
fcis-31302	65	23	robustness	robustness	NOUN
fcis-31302	65	24	of	of	ADP
fcis-31302	65	25	the	the	DET
fcis-31302	65	26	system	system	NOUN
fcis-31302	65	27	.	.	PUNCT
fcis-31302	66	1	for	for	ADP
fcis-31302	66	2	example	example	NOUN
fcis-31302	66	3	,	,	PUNCT
fcis-31302	66	4	both	both	PRON
fcis-31302	66	5	satellite	satellite	NOUN
fcis-31302	66	6	and	and	CCONJ
fcis-31302	66	7	uav	uav	PROPN
fcis-31302	66	8	images	image	NOUN
fcis-31302	66	9	can	can	AUX
fcis-31302	66	10	reflect	reflect	VERB
fcis-31302	66	11	the	the	DET
fcis-31302	66	12	landslide	landslide	NOUN
fcis-31302	66	13	area	area	NOUN
fcis-31302	66	14	,	,	PUNCT
fcis-31302	66	15	but	but	CCONJ
fcis-31302	66	16	the	the	DET
fcis-31302	66	17	resolution	resolution	NOUN
fcis-31302	66	18	and	and	CCONJ
fcis-31302	66	19	perspective	perspective	NOUN
fcis-31302	66	20	are	be	AUX
fcis-31302	66	21	different	different	ADJ
fcis-31302	66	22	.	.	PUNCT
fcis-31302	67	1	(	(	PUNCT
fcis-31302	67	2	4	4	X
fcis-31302	67	3	)	)	PUNCT
fcis-31302	67	4	timing	timing	NOUN
fcis-31302	67	5	and	and	CCONJ
fcis-31302	67	6	dynamics	dynamic	NOUN
fcis-31302	67	7	:	:	PUNCT
fcis-31302	67	8	multimodal	multimodal	NOUN
fcis-31302	67	9	data	datum	NOUN
fcis-31302	67	10	in	in	ADP
fcis-31302	67	11	disaster	disaster	NOUN
fcis-31302	67	12	monitoring	monitoring	NOUN
fcis-31302	67	13	usually	usually	ADV
fcis-31302	67	14	has	have	VERB
fcis-31302	67	15	strong	strong	ADJ
fcis-31302	67	16	timing	timing	NOUN
fcis-31302	67	17	,	,	PUNCT
fcis-31302	67	18	which	which	PRON
fcis-31302	67	19	needs	need	VERB
fcis-31302	67	20	real	real	ADJ
fcis-31302	67	21	-	-	PUNCT
fcis-31302	67	22	time	time	NOUN
fcis-31302	67	23	synchronization	synchronization	NOUN
fcis-31302	67	24	and	and	CCONJ
fcis-31302	67	25	processing	processing	NOUN
fcis-31302	67	26	to	to	PART
fcis-31302	67	27	meet	meet	VERB
fcis-31302	67	28	the	the	DET
fcis-31302	67	29	needs	need	NOUN
fcis-31302	67	30	of	of	ADP
fcis-31302	67	31	early	early	ADJ
fcis-31302	67	32	warning	warning	NOUN
fcis-31302	67	33	.	.	PUNCT
fcis-31302	68	1	2.2	2.2	NUM
fcis-31302	68	2	.	.	PUNCT
fcis-31302	68	3	theoretical	theoretical	ADJ
fcis-31302	68	4	framework	framework	NOUN
fcis-31302	68	5	of	of	ADP
fcis-31302	68	6	information	information	NOUN
fcis-31302	68	7	fusion	fusion	NOUN
fcis-31302	68	8	the	the	DET
fcis-31302	68	9	theoretical	theoretical	ADJ
fcis-31302	68	10	framework	framework	NOUN
fcis-31302	68	11	of	of	ADP
fcis-31302	68	12	information	information	NOUN
fcis-31302	68	13	fusion	fusion	NOUN
fcis-31302	68	14	provides	provide	VERB
fcis-31302	68	15	systematic	systematic	ADJ
fcis-31302	68	16	guidance	guidance	NOUN
fcis-31302	68	17	for	for	ADP
fcis-31302	68	18	multimodal	multimodal	NOUN
fcis-31302	68	19	data	datum	NOUN
fcis-31302	68	20	processing	processing	NOUN
fcis-31302	68	21	.	.	PUNCT
fcis-31302	69	1	classical	classical	ADJ
fcis-31302	69	2	information	information	NOUN
fcis-31302	69	3	fusion	fusion	NOUN
fcis-31302	69	4	models	model	NOUN
fcis-31302	69	5	include	include	VERB
fcis-31302	69	6	jdl	jdl	PROPN
fcis-31302	69	7	(	(	PUNCT
fcis-31302	69	8	joint	joint	ADJ
fcis-31302	69	9	directors	director	NOUN
fcis-31302	69	10	of	of	ADP
fcis-31302	69	11	laboratories	laboratory	NOUN
fcis-31302	69	12	)	)	PUNCT
fcis-31302	69	13	model	model	NOUN
fcis-31302	69	14	,	,	PUNCT
fcis-31302	69	15	ds	ds	INTJ
fcis-31302	69	16	(	(	PUNCT
fcis-31302	69	17	dempster	dempster	PROPN
fcis-31302	69	18	shafer	shafer	PROPN
fcis-31302	69	19	)	)	PUNCT
fcis-31302	69	20	evidence	evidence	NOUN
fcis-31302	69	21	theory	theory	NOUN
fcis-31302	69	22	and	and	CCONJ
fcis-31302	69	23	bayesian	bayesian	NOUN
fcis-31302	69	24	reasoning	reasoning	NOUN
fcis-31302	69	25	[	[	X
fcis-31302	69	26	7	7	NUM
fcis-31302	69	27	]	]	PUNCT
fcis-31302	69	28	.	.	PUNCT
fcis-31302	70	1	in	in	ADP
fcis-31302	70	2	natural	natural	ADJ
fcis-31302	70	3	disaster	disaster	NOUN
fcis-31302	70	4	monitoring	monitoring	NOUN
fcis-31302	70	5	,	,	PUNCT
fcis-31302	70	6	information	information	NOUN
fcis-31302	70	7	fusion	fusion	NOUN
fcis-31302	70	8	is	be	AUX
fcis-31302	70	9	usually	usually	ADV
fcis-31302	70	10	divided	divide	VERB
fcis-31302	70	11	into	into	ADP
fcis-31302	70	12	3	3	NUM
fcis-31302	70	13	the	the	DET
fcis-31302	70	14	following	follow	VERB
fcis-31302	70	15	three	three	NUM
fcis-31302	70	16	levels	level	NOUN
fcis-31302	70	17	:	:	PUNCT
fcis-31302	70	18	(	(	PUNCT
fcis-31302	70	19	1	1	X
fcis-31302	70	20	)	)	PUNCT
fcis-31302	70	21	data	datum	NOUN
fcis-31302	70	22	level	level	NOUN
fcis-31302	70	23	fusion	fusion	NOUN
fcis-31302	70	24	:	:	PUNCT
fcis-31302	70	25	directly	directly	ADV
fcis-31302	70	26	integrate	integrate	VERB
fcis-31302	70	27	the	the	DET
fcis-31302	70	28	original	original	ADJ
fcis-31302	70	29	data	datum	NOUN
fcis-31302	70	30	,	,	PUNCT
fcis-31302	70	31	such	such	ADJ
fcis-31302	70	32	as	as	ADP
fcis-31302	70	33	weighted	weight	VERB
fcis-31302	70	34	average	average	ADJ
fcis-31302	70	35	or	or	CCONJ
fcis-31302	70	36	kalman	kalman	NOUN
fcis-31302	70	37	filtering	filtering	NOUN
fcis-31302	70	38	of	of	ADP
fcis-31302	70	39	multi	multi	ADJ
fcis-31302	70	40	-	-	ADJ
fcis-31302	70	41	source	source	ADJ
fcis-31302	70	42	sensor	sensor	NOUN
fcis-31302	70	43	data	datum	NOUN
fcis-31302	70	44	.	.	PUNCT
fcis-31302	71	1	data	datum	NOUN
fcis-31302	71	2	level	level	NOUN
fcis-31302	71	3	fusion	fusion	NOUN
fcis-31302	71	4	retains	retain	VERB
fcis-31302	71	5	the	the	DET
fcis-31302	71	6	original	original	ADJ
fcis-31302	71	7	information	information	NOUN
fcis-31302	71	8	,	,	PUNCT
fcis-31302	71	9	but	but	CCONJ
fcis-31302	71	10	it	it	PRON
fcis-31302	71	11	has	have	VERB
fcis-31302	71	12	high	high	ADJ
fcis-31302	71	13	computational	computational	ADJ
fcis-31302	71	14	complexity	complexity	NOUN
fcis-31302	71	15	and	and	CCONJ
fcis-31302	71	16	strict	strict	ADJ
fcis-31302	71	17	requirements	requirement	NOUN
fcis-31302	71	18	on	on	ADP
fcis-31302	71	19	data	datum	NOUN
fcis-31302	71	20	quality	quality	NOUN
fcis-31302	71	21	.	.	PUNCT
fcis-31302	72	1	chen	chen	PROPN
fcis-31302	72	2	proposed	propose	VERB
fcis-31302	72	3	a	a	DET
fcis-31302	72	4	fusion	fusion	NOUN
fcis-31302	72	5	method	method	NOUN
fcis-31302	72	6	based	base	VERB
fcis-31302	72	7	on	on	ADP
fcis-31302	72	8	kalman	kalman	PROPN
fcis-31302	72	9	filter	filter	NOUN
fcis-31302	72	10	to	to	PART
fcis-31302	72	11	integrate	integrate	VERB
fcis-31302	72	12	seismograph	seismograph	NOUN
fcis-31302	72	13	and	and	CCONJ
fcis-31302	72	14	gps	gps	PROPN
fcis-31302	72	15	data	datum	NOUN
fcis-31302	72	16	to	to	PART
fcis-31302	72	17	improve	improve	VERB
fcis-31302	72	18	the	the	DET
fcis-31302	72	19	accuracy	accuracy	NOUN
fcis-31302	72	20	of	of	ADP
fcis-31302	72	21	seismic	seismic	ADJ
fcis-31302	72	22	positioning	positioning	NOUN
fcis-31302	72	23	[	[	X
fcis-31302	72	24	12	12	NUM
fcis-31302	72	25	]	]	PUNCT
fcis-31302	72	26	.	.	PUNCT
fcis-31302	73	1	(	(	PUNCT
fcis-31302	73	2	2	2	X
fcis-31302	73	3	)	)	PUNCT
fcis-31302	73	4	feature	feature	NOUN
fcis-31302	73	5	level	level	NOUN
fcis-31302	73	6	fusion	fusion	NOUN
fcis-31302	73	7	:	:	PUNCT
fcis-31302	73	8	the	the	DET
fcis-31302	73	9	feature	feature	NOUN
fcis-31302	73	10	is	be	AUX
fcis-31302	73	11	extracted	extract	VERB
fcis-31302	73	12	from	from	ADP
fcis-31302	73	13	each	each	DET
fcis-31302	73	14	mode	mode	NOUN
fcis-31302	73	15	and	and	CCONJ
fcis-31302	73	16	fused	fuse	VERB
fcis-31302	73	17	.	.	PUNCT
fcis-31302	74	1	the	the	DET
fcis-31302	74	2	feature	feature	NOUN
fcis-31302	74	3	vector	vector	NOUN
fcis-31302	74	4	of	of	ADP
fcis-31302	74	5	image	image	NOUN
fcis-31302	74	6	and	and	CCONJ
fcis-31302	74	7	time	time	NOUN
fcis-31302	74	8	series	series	NOUN
fcis-31302	74	9	is	be	AUX
fcis-31302	74	10	extracted	extract	VERB
fcis-31302	74	11	by	by	ADP
fcis-31302	74	12	using	use	VERB
fcis-31302	74	13	the	the	DET
fcis-31302	74	14	deep	deep	ADJ
fcis-31302	74	15	learning	learning	NOUN
fcis-31302	74	16	model	model	NOUN
fcis-31302	74	17	,	,	PUNCT
fcis-31302	74	18	and	and	CCONJ
fcis-31302	74	19	then	then	ADV
fcis-31302	74	20	fused	fuse	VERB
fcis-31302	74	21	by	by	ADP
fcis-31302	74	22	splicing	splicing	NOUN
fcis-31302	74	23	or	or	CCONJ
fcis-31302	74	24	weighting	weighting	NOUN
fcis-31302	74	25	.	.	PUNCT
fcis-31302	75	1	feature	feature	NOUN
fcis-31302	75	2	level	level	NOUN
fcis-31302	75	3	fusion	fusion	NOUN
fcis-31302	75	4	has	have	VERB
fcis-31302	75	5	advantages	advantage	NOUN
fcis-31302	75	6	in	in	ADP
fcis-31302	75	7	computational	computational	ADJ
fcis-31302	75	8	efficiency	efficiency	NOUN
fcis-31302	75	9	and	and	CCONJ
fcis-31302	75	10	information	information	NOUN
fcis-31302	75	11	compression	compression	NOUN
fcis-31302	75	12	.	.	PUNCT
fcis-31302	76	1	qin	qin	PROPN
fcis-31302	76	2	uses	use	VERB
fcis-31302	76	3	convolutional	convolutional	ADJ
fcis-31302	76	4	neural	neural	ADJ
fcis-31302	76	5	network	network	NOUN
fcis-31302	76	6	(	(	PUNCT
fcis-31302	76	7	cnn	cnn	PROPN
fcis-31302	76	8	)	)	PUNCT
fcis-31302	76	9	to	to	PART
fcis-31302	76	10	extract	extract	VERB
fcis-31302	76	11	spatial	spatial	ADJ
fcis-31302	76	12	features	feature	NOUN
fcis-31302	76	13	from	from	ADP
fcis-31302	76	14	satellite	satellite	NOUN
fcis-31302	76	15	images	image	NOUN
fcis-31302	76	16	and	and	CCONJ
fcis-31302	76	17	fuse	fuse	VERB
fcis-31302	76	18	them	they	PRON
fcis-31302	76	19	with	with	ADP
fcis-31302	76	20	meteorological	meteorological	ADJ
fcis-31302	76	21	time	time	NOUN
fcis-31302	76	22	series	series	PROPN
fcis-31302	76	23	features	feature	VERB
fcis-31302	76	24	for	for	ADP
fcis-31302	76	25	typhoon	typhoon	NOUN
fcis-31302	76	26	path	path	NOUN
fcis-31302	76	27	prediction	prediction	NOUN
fcis-31302	76	28	[	[	X
fcis-31302	76	29	8	8	NUM
fcis-31302	76	30	]	]	PUNCT
fcis-31302	76	31	.	.	PUNCT
fcis-31302	77	1	(	(	PUNCT
fcis-31302	77	2	3	3	X
fcis-31302	77	3	)	)	PUNCT
fcis-31302	77	4	decision	decision	NOUN
fcis-31302	77	5	level	level	NOUN
fcis-31302	77	6	fusion	fusion	NOUN
fcis-31302	77	7	:	:	PUNCT
fcis-31302	77	8	after	after	ADP
fcis-31302	77	9	independent	independent	ADJ
fcis-31302	77	10	modeling	modeling	NOUN
fcis-31302	77	11	of	of	ADP
fcis-31302	77	12	each	each	DET
fcis-31302	77	13	mode	mode	NOUN
fcis-31302	77	14	,	,	PUNCT
fcis-31302	77	15	the	the	DET
fcis-31302	77	16	decision	decision	NOUN
fcis-31302	77	17	results	result	NOUN
fcis-31302	77	18	are	be	AUX
fcis-31302	77	19	integrated	integrate	VERB
fcis-31302	77	20	by	by	ADP
fcis-31302	77	21	weighted	weight	VERB
fcis-31302	77	22	or	or	CCONJ
fcis-31302	77	23	bayesian	bayesian	NOUN
fcis-31302	77	24	methods	method	NOUN
fcis-31302	77	25	.	.	PUNCT
fcis-31302	78	1	decision	decision	NOUN
fcis-31302	78	2	level	level	NOUN
fcis-31302	78	3	fusion	fusion	NOUN
fcis-31302	78	4	is	be	AUX
fcis-31302	78	5	robust	robust	ADJ
fcis-31302	78	6	to	to	ADP
fcis-31302	78	7	modal	modal	NOUN
fcis-31302	78	8	missing	missing	ADJ
fcis-31302	78	9	and	and	CCONJ
fcis-31302	78	10	suitable	suitable	ADJ
fcis-31302	78	11	for	for	ADP
fcis-31302	78	12	heterogeneous	heterogeneous	ADJ
fcis-31302	78	13	data	datum	NOUN
fcis-31302	78	14	scenarios	scenario	NOUN
fcis-31302	78	15	.	.	PUNCT
fcis-31302	79	1	bharambe	bharambe	PROPN
fcis-31302	79	2	proposed	propose	VERB
fcis-31302	79	3	a	a	DET
fcis-31302	79	4	decision	decision	NOUN
fcis-31302	79	5	level	level	NOUN
fcis-31302	79	6	fusion	fusion	NOUN
fcis-31302	79	7	framework	framework	NOUN
fcis-31302	79	8	based	base	VERB
fcis-31302	79	9	on	on	ADP
fcis-31302	79	10	ds	ds	ADJ
fcis-31302	79	11	evidence	evidence	NOUN
fcis-31302	79	12	theory	theory	NOUN
fcis-31302	79	13	to	to	PART
fcis-31302	79	14	integrate	integrate	VERB
fcis-31302	79	15	remote	remote	ADJ
fcis-31302	79	16	sensing	sensing	NOUN
fcis-31302	79	17	,	,	PUNCT
fcis-31302	79	18	meteorological	meteorological	ADJ
fcis-31302	79	19	and	and	CCONJ
fcis-31302	79	20	social	social	ADJ
fcis-31302	79	21	media	medium	NOUN
fcis-31302	79	22	data	datum	NOUN
fcis-31302	79	23	for	for	ADP
fcis-31302	79	24	flood	flood	NOUN
fcis-31302	79	25	warning	warning	NOUN
fcis-31302	79	26	[	[	X
fcis-31302	79	27	11	11	NUM
fcis-31302	79	28	]	]	PUNCT
fcis-31302	79	29	.	.	PUNCT
fcis-31302	80	1	in	in	ADP
fcis-31302	80	2	recent	recent	ADJ
fcis-31302	80	3	years	year	NOUN
fcis-31302	80	4	,	,	PUNCT
fcis-31302	80	5	with	with	ADP
fcis-31302	80	6	the	the	DET
fcis-31302	80	7	development	development	NOUN
fcis-31302	80	8	of	of	ADP
fcis-31302	80	9	deep	deep	ADJ
fcis-31302	80	10	learning	learning	NOUN
fcis-31302	80	11	,	,	PUNCT
fcis-31302	80	12	multimodal	multimodal	ADJ
fcis-31302	80	13	fusion	fusion	NOUN
fcis-31302	80	14	model	model	NOUN
fcis-31302	80	15	based	base	VERB
fcis-31302	80	16	on	on	ADP
fcis-31302	80	17	neural	neural	ADJ
fcis-31302	80	18	network	network	NOUN
fcis-31302	80	19	has	have	AUX
fcis-31302	80	20	gradually	gradually	ADV
fcis-31302	80	21	become	become	VERB
fcis-31302	80	22	the	the	DET
fcis-31302	80	23	mainstream	mainstream	NOUN
fcis-31302	80	24	.	.	PUNCT
fcis-31302	81	1	the	the	DET
fcis-31302	81	2	transformer	transformer	NOUN
fcis-31302	81	3	model	model	NOUN
fcis-31302	81	4	realizes	realize	VERB
fcis-31302	81	5	the	the	DET
fcis-31302	81	6	dynamic	dynamic	ADJ
fcis-31302	81	7	weighting	weighting	NOUN
fcis-31302	81	8	of	of	ADP
fcis-31302	81	9	cross	cross	NOUN
fcis-31302	81	10	modal	modal	NOUN
fcis-31302	81	11	features	feature	NOUN
fcis-31302	81	12	through	through	ADP
fcis-31302	81	13	the	the	DET
fcis-31302	81	14	attention	attention	NOUN
fcis-31302	81	15	mechanism	mechanism	NOUN
fcis-31302	81	16	,	,	PUNCT
fcis-31302	81	17	which	which	PRON
fcis-31302	81	18	significantly	significantly	ADV
fcis-31302	81	19	improves	improve	VERB
fcis-31302	81	20	the	the	DET
fcis-31302	81	21	fusion	fusion	NOUN
fcis-31302	81	22	effect	effect	NOUN
fcis-31302	81	23	[	[	X
fcis-31302	81	24	4	4	NUM
fcis-31302	81	25	]	]	PUNCT
fcis-31302	81	26	.	.	PUNCT
fcis-31302	82	1	graph	graph	NOUN
fcis-31302	82	2	neural	neural	ADJ
fcis-31302	82	3	network	network	NOUN
fcis-31302	82	4	(	(	PUNCT
fcis-31302	82	5	gnn	gnn	PROPN
fcis-31302	82	6	)	)	PUNCT
fcis-31302	82	7	shows	show	VERB
fcis-31302	82	8	potential	potential	ADJ
fcis-31302	82	9	in	in	ADP
fcis-31302	82	10	dealing	deal	VERB
fcis-31302	82	11	with	with	ADP
fcis-31302	82	12	complex	complex	ADJ
fcis-31302	82	13	relationships	relationship	NOUN
fcis-31302	82	14	of	of	ADP
fcis-31302	82	15	multimodal	multimodal	NOUN
fcis-31302	82	16	data	datum	NOUN
fcis-31302	82	17	,	,	PUNCT
fcis-31302	82	18	such	such	ADJ
fcis-31302	82	19	as	as	ADP
fcis-31302	82	20	the	the	DET
fcis-31302	82	21	topology	topology	NOUN
fcis-31302	82	22	of	of	ADP
fcis-31302	82	23	sensor	sensor	NOUN
fcis-31302	82	24	networks	network	NOUN
fcis-31302	82	25	[	[	X
fcis-31302	82	26	13	13	NUM
fcis-31302	82	27	]	]	PUNCT
fcis-31302	82	28	.	.	PUNCT
fcis-31302	83	1	these	these	DET
fcis-31302	83	2	theoretical	theoretical	ADJ
fcis-31302	83	3	frameworks	framework	NOUN
fcis-31302	83	4	provide	provide	VERB
fcis-31302	83	5	a	a	DET
fcis-31302	83	6	solid	solid	ADJ
fcis-31302	83	7	theoretical	theoretical	ADJ
fcis-31302	83	8	support	support	NOUN
fcis-31302	83	9	for	for	ADP
fcis-31302	83	10	multimodal	multimodal	ADJ
fcis-31302	83	11	fusion	fusion	NOUN
fcis-31302	83	12	in	in	ADP
fcis-31302	83	13	natural	natural	ADJ
fcis-31302	83	14	disaster	disaster	NOUN
fcis-31302	83	15	monitoring	monitoring	NOUN
fcis-31302	83	16	.	.	PUNCT
fcis-31302	84	1	the	the	DET
fcis-31302	84	2	above	above	ADJ
fcis-31302	84	3	information	information	NOUN
fcis-31302	84	4	is	be	AUX
fcis-31302	84	5	shown	show	VERB
fcis-31302	84	6	in	in	ADP
fcis-31302	84	7	table	table	NOUN
fcis-31302	84	8	1	1	NUM
fcis-31302	84	9	.	.	PUNCT
fcis-31302	84	10	table	table	NOUN
fcis-31302	84	11	1	1	NUM
fcis-31302	84	12	.	.	PUNCT
fcis-31302	84	13	comparison	comparison	NOUN
fcis-31302	84	14	of	of	ADP
fcis-31302	84	15	information	information	NOUN
fcis-31302	84	16	fusion	fusion	NOUN
fcis-31302	84	17	levels	level	NOUN
fcis-31302	84	18	fusion	fusion	NOUN
fcis-31302	84	19	hierarchy	hierarchy	NOUN
fcis-31302	84	20	advantage	advantage	NOUN
fcis-31302	84	21	disadvantage	disadvantage	NOUN
fcis-31302	84	22	typical	typical	ADJ
fcis-31302	84	23	application	application	NOUN
fcis-31302	84	24	scenarios	scenario	NOUN
fcis-31302	84	25	data	data	NOUN
fcis-31302	84	26	level	level	NOUN
fcis-31302	84	27	fusion	fusion	NOUN
fcis-31302	84	28	retain	retain	VERB
fcis-31302	84	29	original	original	ADJ
fcis-31302	84	30	information	information	NOUN
fcis-31302	84	31	with	with	ADP
fcis-31302	84	32	high	high	ADJ
fcis-31302	84	33	accuracy	accuracy	NOUN
fcis-31302	84	34	complex	complex	ADJ
fcis-31302	84	35	calculation	calculation	NOUN
fcis-31302	84	36	and	and	CCONJ
fcis-31302	84	37	high	high	ADJ
fcis-31302	84	38	data	datum	NOUN
fcis-31302	84	39	quality	quality	NOUN
fcis-31302	84	40	requirements	requirement	NOUN
fcis-31302	84	41	seismic	seismic	ADJ
fcis-31302	84	42	wave	wave	NOUN
fcis-31302	84	43	and	and	CCONJ
fcis-31302	84	44	gps	gps	VERB
fcis-31302	84	45	data	data	NOUN
fcis-31302	84	46	fusion	fusion	NOUN
fcis-31302	84	47	[	[	X
fcis-31302	84	48	12	12	NUM
fcis-31302	84	49	]	]	PUNCT
fcis-31302	84	50	feature	feature	NOUN
fcis-31302	84	51	level	level	NOUN
fcis-31302	84	52	fusion	fusion	NOUN
fcis-31302	84	53	information	information	NOUN
fcis-31302	84	54	compression	compression	NOUN
fcis-31302	84	55	,	,	PUNCT
fcis-31302	84	56	high	high	ADJ
fcis-31302	84	57	computational	computational	ADJ
fcis-31302	84	58	efficiency	efficiency	NOUN
fcis-31302	84	59	feature	feature	NOUN
fcis-31302	84	60	extraction	extraction	NOUN
fcis-31302	84	61	dependent	dependent	ADJ
fcis-31302	84	62	model	model	NOUN
fcis-31302	84	63	performance	performance	NOUN
fcis-31302	84	64	typhoon	typhoon	NOUN
fcis-31302	84	65	track	track	NOUN
fcis-31302	84	66	prediction	prediction	NOUN
fcis-31302	84	67	[	[	X
fcis-31302	84	68	8	8	NUM
fcis-31302	84	69	]	]	ADJ
fcis-31302	84	70	decision	decision	NOUN
fcis-31302	84	71	level	level	NOUN
fcis-31302	84	72	fusion	fusion	NOUN
fcis-31302	84	73	strong	strong	ADJ
fcis-31302	84	74	robustness	robustness	NOUN
fcis-31302	84	75	,	,	PUNCT
fcis-31302	84	76	suitable	suitable	ADJ
fcis-31302	84	77	for	for	ADP
fcis-31302	84	78	modal	modal	ADJ
fcis-31302	84	79	loss	loss	NOUN
fcis-31302	84	80	more	more	ADJ
fcis-31302	84	81	information	information	NOUN
fcis-31302	84	82	loss	loss	NOUN
fcis-31302	84	83	flood	flood	NOUN
fcis-31302	84	84	warning	warning	NOUN
fcis-31302	84	85	[	[	X
fcis-31302	84	86	11	11	NUM
fcis-31302	84	87	]	]	SYM
fcis-31302	84	88	2.3	2.3	NUM
fcis-31302	84	89	.	.	PUNCT
fcis-31302	85	1	applicability	applicability	NOUN
fcis-31302	85	2	of	of	ADP
fcis-31302	85	3	multimodal	multimodal	ADJ
fcis-31302	85	4	fusion	fusion	NOUN
fcis-31302	85	5	in	in	ADP
fcis-31302	85	6	natural	natural	ADJ
fcis-31302	85	7	disaster	disaster	NOUN
fcis-31302	85	8	monitoring	monitor	VERB
fcis-31302	85	9	the	the	DET
fcis-31302	85	10	applicability	applicability	NOUN
fcis-31302	85	11	of	of	ADP
fcis-31302	85	12	multimodal	multimodal	NOUN
fcis-31302	85	13	information	information	NOUN
fcis-31302	85	14	fusion	fusion	NOUN
fcis-31302	85	15	in	in	ADP
fcis-31302	85	16	natural	natural	ADJ
fcis-31302	85	17	disaster	disaster	NOUN
fcis-31302	85	18	monitoring	monitoring	NOUN
fcis-31302	85	19	stems	stem	VERB
fcis-31302	85	20	from	from	ADP
fcis-31302	85	21	its	its	PRON
fcis-31302	85	22	ability	ability	NOUN
fcis-31302	85	23	to	to	PART
fcis-31302	85	24	comprehensively	comprehensively	ADV
fcis-31302	85	25	use	use	VERB
fcis-31302	85	26	the	the	DET
fcis-31302	85	27	advantages	advantage	NOUN
fcis-31302	85	28	of	of	ADP
fcis-31302	85	29	multi	multi	ADJ
fcis-31302	85	30	-	-	ADJ
fcis-31302	85	31	source	source	NOUN
fcis-31302	85	32	data	datum	NOUN
fcis-31302	85	33	to	to	PART
fcis-31302	85	34	deal	deal	VERB
fcis-31302	85	35	with	with	ADP
fcis-31302	85	36	the	the	DET
fcis-31302	85	37	complexity	complexity	NOUN
fcis-31302	85	38	and	and	CCONJ
fcis-31302	85	39	uncertainty	uncertainty	NOUN
fcis-31302	85	40	of	of	ADP
fcis-31302	85	41	disasters	disaster	NOUN
fcis-31302	85	42	.	.	PUNCT
fcis-31302	86	1	the	the	DET
fcis-31302	86	2	following	follow	VERB
fcis-31302	86	3	analyzes	analyze	VERB
fcis-31302	86	4	its	its	PRON
fcis-31302	86	5	applicability	applicability	NOUN
fcis-31302	86	6	from	from	ADP
fcis-31302	86	7	three	three	NUM
fcis-31302	86	8	aspects	aspect	NOUN
fcis-31302	86	9	:	:	PUNCT
fcis-31302	86	10	data	datum	NOUN
fcis-31302	86	11	sources	source	NOUN
fcis-31302	86	12	,	,	PUNCT
fcis-31302	86	13	integration	integration	NOUN
fcis-31302	86	14	requirements	requirement	NOUN
fcis-31302	86	15	and	and	CCONJ
fcis-31302	86	16	application	application	NOUN
fcis-31302	86	17	scenarios	scenario	NOUN
fcis-31302	86	18	.	.	PUNCT
fcis-31302	87	1	2.3.1	2.3.1	NUM
fcis-31302	87	2	.	.	PUNCT
fcis-31302	87	3	multimodal	multimodal	NOUN
fcis-31302	87	4	data	datum	NOUN
fcis-31302	87	5	sources	source	NOUN
fcis-31302	87	6	(	(	PUNCT
fcis-31302	87	7	1	1	X
fcis-31302	87	8	)	)	PUNCT
fcis-31302	87	9	remote	remote	ADJ
fcis-31302	87	10	sensing	sense	VERB
fcis-31302	87	11	data	datum	NOUN
fcis-31302	87	12	:	:	PUNCT
fcis-31302	87	13	satellite	satellite	NOUN
fcis-31302	87	14	images	image	NOUN
fcis-31302	87	15	provide	provide	VERB
fcis-31302	87	16	a	a	DET
fcis-31302	87	17	wide	wide	ADJ
fcis-31302	87	18	range	range	NOUN
fcis-31302	87	19	of	of	ADP
fcis-31302	87	20	high	high	ADJ
fcis-31302	87	21	-	-	PUNCT
fcis-31302	87	22	resolution	resolution	NOUN
fcis-31302	87	23	surface	surface	NOUN
fcis-31302	87	24	information	information	NOUN
fcis-31302	87	25	,	,	PUNCT
fcis-31302	87	26	which	which	PRON
fcis-31302	87	27	is	be	AUX
fcis-31302	87	28	suitable	suitable	ADJ
fcis-31302	87	29	for	for	ADP
fcis-31302	87	30	flood	flood	NOUN
fcis-31302	87	31	,	,	PUNCT
fcis-31302	87	32	landslide	landslide	NOUN
fcis-31302	87	33	and	and	CCONJ
fcis-31302	87	34	wildfire	wildfire	NOUN
fcis-31302	87	35	monitoring	monitoring	NOUN
fcis-31302	87	36	[	[	X
fcis-31302	87	37	6	6	NUM
fcis-31302	87	38	]	]	PUNCT
fcis-31302	87	39	.	.	PUNCT
fcis-31302	88	1	(	(	PUNCT
fcis-31302	88	2	2	2	X
fcis-31302	88	3	)	)	PUNCT
fcis-31302	88	4	ground	ground	NOUN
fcis-31302	88	5	sensor	sensor	NOUN
fcis-31302	88	6	data	datum	NOUN
fcis-31302	88	7	:	:	PUNCT
fcis-31302	88	8	seismometers	seismometer	NOUN
fcis-31302	88	9	,	,	PUNCT
fcis-31302	88	10	hydrological	hydrological	ADJ
fcis-31302	88	11	stations	station	NOUN
fcis-31302	88	12	and	and	CCONJ
fcis-31302	88	13	weather	weather	NOUN
fcis-31302	88	14	stations	station	NOUN
fcis-31302	88	15	provide	provide	VERB
fcis-31302	88	16	high	high	ADJ
fcis-31302	88	17	-	-	PUNCT
fcis-31302	88	18	precision	precision	NOUN
fcis-31302	88	19	and	and	CCONJ
fcis-31302	88	20	continuous	continuous	ADJ
fcis-31302	88	21	time	time	NOUN
fcis-31302	88	22	series	series	PROPN
fcis-31302	88	23	data	data	PROPN
fcis-31302	88	24	,	,	PUNCT
fcis-31302	88	25	which	which	PRON
fcis-31302	88	26	is	be	AUX
fcis-31302	88	27	suitable	suitable	ADJ
fcis-31302	88	28	for	for	ADP
fcis-31302	88	29	earthquake	earthquake	NOUN
fcis-31302	88	30	,	,	PUNCT
fcis-31302	88	31	flood	flood	NOUN
fcis-31302	88	32	and	and	CCONJ
fcis-31302	88	33	typhoon	typhoon	NOUN
fcis-31302	88	34	monitoring	monitor	VERB
fcis-31302	88	35	[	[	X
fcis-31302	88	36	5	5	NUM
fcis-31302	88	37	]	]	PUNCT
fcis-31302	88	38	.	.	PUNCT
fcis-31302	89	1	(	(	PUNCT
fcis-31302	89	2	3	3	X
fcis-31302	89	3	)	)	PUNCT
fcis-31302	89	4	social	social	ADJ
fcis-31302	89	5	media	medium	NOUN
fcis-31302	89	6	data	datum	NOUN
fcis-31302	89	7	:	:	PUNCT
fcis-31302	89	8	twitter	twitter	NOUN
fcis-31302	89	9	,	,	PUNCT
fcis-31302	89	10	weibo	weibo	NOUN
fcis-31302	89	11	and	and	CCONJ
fcis-31302	89	12	other	other	ADJ
fcis-31302	89	13	platforms	platform	NOUN
fcis-31302	89	14	provide	provide	VERB
fcis-31302	89	15	real	real	ADJ
fcis-31302	89	16	-	-	PUNCT
fcis-31302	89	17	time	time	NOUN
fcis-31302	89	18	public	public	ADJ
fcis-31302	89	19	feedback	feedback	NOUN
fcis-31302	89	20	and	and	CCONJ
fcis-31302	89	21	disaster	disaster	NOUN
fcis-31302	89	22	impact	impact	NOUN
fcis-31302	89	23	information	information	NOUN
fcis-31302	89	24	,	,	PUNCT
fcis-31302	89	25	which	which	PRON
fcis-31302	89	26	is	be	AUX
fcis-31302	89	27	suitable	suitable	ADJ
fcis-31302	89	28	for	for	ADP
fcis-31302	89	29	rapid	rapid	ADJ
fcis-31302	89	30	response	response	NOUN
fcis-31302	89	31	and	and	CCONJ
fcis-31302	89	32	disaster	disaster	NOUN
fcis-31302	89	33	assessment	assessment	NOUN
fcis-31302	89	34	[	[	X
fcis-31302	89	35	9	9	NUM
fcis-31302	89	36	]	]	PUNCT
fcis-31302	89	37	.	.	PUNCT
fcis-31302	90	1	(	(	PUNCT
fcis-31302	90	2	4	4	X
fcis-31302	90	3	)	)	PUNCT
fcis-31302	90	4	uav	uav	PROPN
fcis-31302	90	5	data	data	PROPN
fcis-31302	90	6	:	:	PUNCT
fcis-31302	90	7	uav	uav	PROPN
fcis-31302	90	8	images	image	NOUN
fcis-31302	90	9	and	and	CCONJ
fcis-31302	90	10	videos	video	NOUN
fcis-31302	90	11	provide	provide	VERB
fcis-31302	90	12	highresolution	highresolution	NOUN
fcis-31302	90	13	local	local	ADJ
fcis-31302	90	14	information	information	NOUN
fcis-31302	90	15	,	,	PUNCT
fcis-31302	90	16	which	which	PRON
fcis-31302	90	17	is	be	AUX
fcis-31302	90	18	suitable	suitable	ADJ
fcis-31302	90	19	for	for	ADP
fcis-31302	90	20	landslide	landslide	NOUN
fcis-31302	90	21	and	and	CCONJ
fcis-31302	90	22	earthquake	earthquake	NOUN
fcis-31302	90	23	damage	damage	NOUN
fcis-31302	90	24	assessment	assessment	NOUN
fcis-31302	91	1	[	[	X
fcis-31302	91	2	6	6	NUM
fcis-31302	91	3	]	]	PUNCT
fcis-31302	91	4	.	.	PUNCT
fcis-31302	92	1	2.3.2	2.3.2	NUM
fcis-31302	92	2	.	.	PUNCT
fcis-31302	93	1	integration	integration	NOUN
fcis-31302	93	2	requirements	requirement	NOUN
fcis-31302	93	3	(	(	PUNCT
fcis-31302	93	4	1	1	X
fcis-31302	93	5	)	)	PUNCT
fcis-31302	93	6	spatio	spatio	NOUN
fcis-31302	93	7	temporal	temporal	ADJ
fcis-31302	93	8	consistency	consistency	NOUN
fcis-31302	93	9	:	:	PUNCT
fcis-31302	93	10	disaster	disaster	NOUN
fcis-31302	93	11	monitoring	monitoring	NOUN
fcis-31302	93	12	needs	need	VERB
fcis-31302	93	13	to	to	PART
fcis-31302	93	14	integrate	integrate	VERB
fcis-31302	93	15	spatial	spatial	ADJ
fcis-31302	93	16	and	and	CCONJ
fcis-31302	93	17	temporal	temporal	ADJ
fcis-31302	93	18	information	information	NOUN
fcis-31302	93	19	to	to	PART
fcis-31302	93	20	capture	capture	VERB
fcis-31302	93	21	the	the	DET
fcis-31302	93	22	dynamic	dynamic	ADJ
fcis-31302	93	23	evolution	evolution	NOUN
fcis-31302	93	24	of	of	ADP
fcis-31302	93	25	disasters	disaster	NOUN
fcis-31302	93	26	.	.	PUNCT
fcis-31302	94	1	for	for	ADP
fcis-31302	94	2	example	example	NOUN
fcis-31302	94	3	,	,	PUNCT
fcis-31302	94	4	flood	flood	NOUN
fcis-31302	94	5	monitoring	monitoring	NOUN
fcis-31302	94	6	needs	need	VERB
fcis-31302	94	7	to	to	PART
fcis-31302	94	8	integrate	integrate	VERB
fcis-31302	94	9	the	the	DET
fcis-31302	94	10	spatial	spatial	ADJ
fcis-31302	94	11	distribution	distribution	NOUN
fcis-31302	94	12	of	of	ADP
fcis-31302	94	13	remote	remote	ADJ
fcis-31302	94	14	sensing	sensing	NOUN
fcis-31302	94	15	images	image	NOUN
fcis-31302	94	16	with	with	ADP
fcis-31302	94	17	the	the	DET
fcis-31302	94	18	time	time	NOUN
fcis-31302	94	19	series	series	PROPN
fcis-31302	94	20	data	datum	NOUN
fcis-31302	94	21	of	of	ADP
fcis-31302	94	22	hydrological	hydrological	ADJ
fcis-31302	94	23	stations	station	NOUN
fcis-31302	94	24	[	[	X
fcis-31302	94	25	2	2	NUM
fcis-31302	94	26	]	]	PUNCT
fcis-31302	94	27	.	.	PUNCT
fcis-31302	95	1	(	(	PUNCT
fcis-31302	95	2	2	2	X
fcis-31302	95	3	)	)	PUNCT
fcis-31302	95	4	multi	multi	ADJ
fcis-31302	95	5	scale	scale	NOUN
fcis-31302	95	6	fusion	fusion	NOUN
fcis-31302	95	7	:	:	PUNCT
fcis-31302	95	8	the	the	DET
fcis-31302	95	9	resolution	resolution	NOUN
fcis-31302	95	10	and	and	CCONJ
fcis-31302	95	11	coverage	coverage	NOUN
fcis-31302	95	12	of	of	ADP
fcis-31302	95	13	different	different	ADJ
fcis-31302	95	14	modal	modal	ADJ
fcis-31302	95	15	data	datum	NOUN
fcis-31302	95	16	are	be	AUX
fcis-31302	95	17	quite	quite	ADV
fcis-31302	95	18	different	different	ADJ
fcis-31302	95	19	,	,	PUNCT
fcis-31302	95	20	so	so	CCONJ
fcis-31302	95	21	it	it	PRON
fcis-31302	95	22	is	be	AUX
fcis-31302	95	23	necessary	necessary	ADJ
fcis-31302	95	24	to	to	PART
fcis-31302	95	25	achieve	achieve	VERB
fcis-31302	95	26	unified	unified	ADJ
fcis-31302	95	27	modeling	modeling	NOUN
fcis-31302	95	28	through	through	ADP
fcis-31302	95	29	multi	multi	ADJ
fcis-31302	95	30	-	-	ADJ
fcis-31302	95	31	scale	scale	ADJ
fcis-31302	95	32	fusion	fusion	NOUN
fcis-31302	95	33	method	method	NOUN
fcis-31302	95	34	.	.	PUNCT
fcis-31302	96	1	(	(	PUNCT
fcis-31302	96	2	3	3	X
fcis-31302	96	3	)	)	PUNCT
fcis-31302	96	4	real	real	ADJ
fcis-31302	96	5	time	time	NOUN
fcis-31302	96	6	requirements	requirement	NOUN
fcis-31302	96	7	:	:	PUNCT
fcis-31302	96	8	disaster	disaster	NOUN
fcis-31302	96	9	early	early	ADJ
fcis-31302	96	10	warning	warning	NOUN
fcis-31302	96	11	requires	require	VERB
fcis-31302	96	12	low	low	ADJ
fcis-31302	96	13	delay	delay	NOUN
fcis-31302	96	14	processing	processing	NOUN
fcis-31302	96	15	,	,	PUNCT
fcis-31302	96	16	and	and	CCONJ
fcis-31302	96	17	the	the	DET
fcis-31302	96	18	combination	combination	NOUN
fcis-31302	96	19	of	of	ADP
fcis-31302	96	20	edge	edge	NOUN
fcis-31302	96	21	computing	computing	NOUN
fcis-31302	96	22	and	and	CCONJ
fcis-31302	96	23	cloud	cloud	NOUN
fcis-31302	96	24	computing	computing	NOUN
fcis-31302	96	25	provides	provide	VERB
fcis-31302	96	26	support	support	NOUN
fcis-31302	96	27	for	for	ADP
fcis-31302	96	28	real	real	ADJ
fcis-31302	96	29	-	-	PUNCT
fcis-31302	96	30	time	time	NOUN
fcis-31302	96	31	integration	integration	NOUN
fcis-31302	96	32	[	[	X
fcis-31302	96	33	14	14	NUM
fcis-31302	96	34	]	]	SYM
fcis-31302	96	35	.	.	PUNCT
fcis-31302	97	1	2.3.3	2.3.3	NUM
fcis-31302	97	2	.	.	PUNCT
fcis-31302	97	3	application	application	NOUN
fcis-31302	97	4	scenario	scenario	NOUN
fcis-31302	97	5	(	(	PUNCT
fcis-31302	97	6	1	1	NUM
fcis-31302	97	7	)	)	PUNCT
fcis-31302	97	8	earthquake	earthquake	NOUN
fcis-31302	97	9	monitoring	monitoring	NOUN
fcis-31302	97	10	:	:	PUNCT
fcis-31302	97	11	integrating	integrate	VERB
fcis-31302	97	12	seismic	seismic	ADJ
fcis-31302	97	13	wave	wave	NOUN
fcis-31302	97	14	,	,	PUNCT
fcis-31302	97	15	gps	gps	PROPN
fcis-31302	97	16	and	and	CCONJ
fcis-31302	97	17	social	social	ADJ
fcis-31302	97	18	media	medium	NOUN
fcis-31302	97	19	data	datum	NOUN
fcis-31302	97	20	can	can	AUX
fcis-31302	97	21	improve	improve	VERB
fcis-31302	97	22	the	the	DET
fcis-31302	97	23	accuracy	accuracy	NOUN
fcis-31302	97	24	of	of	ADP
fcis-31302	97	25	epicenter	epicenter	NOUN
fcis-31302	97	26	location	location	NOUN
fcis-31302	97	27	and	and	CCONJ
fcis-31302	97	28	damage	damage	NOUN
fcis-31302	97	29	assessment	assessment	NOUN
fcis-31302	97	30	.	.	PUNCT
fcis-31302	98	1	bock	bock	NOUN
fcis-31302	98	2	proposed	propose	VERB
fcis-31302	98	3	a	a	DET
fcis-31302	98	4	multimodal	multimodal	ADJ
fcis-31302	98	5	earthquake	earthquake	NOUN
fcis-31302	98	6	early	early	ADJ
fcis-31302	98	7	warning	warning	NOUN
fcis-31302	98	8	system	system	NOUN
fcis-31302	98	9	,	,	PUNCT
fcis-31302	98	10	which	which	PRON
fcis-31302	98	11	realizes	realize	VERB
fcis-31302	98	12	second	second	ADJ
fcis-31302	98	13	level	level	NOUN
fcis-31302	98	14	early	early	ADJ
fcis-31302	98	15	warning	warning	NOUN
fcis-31302	98	16	by	by	ADP
fcis-31302	98	17	integrating	integrate	VERB
fcis-31302	98	18	seismograph	seismograph	NOUN
fcis-31302	98	19	and	and	CCONJ
fcis-31302	98	20	gps	gps	PROPN
fcis-31302	98	21	data	datum	NOUN
fcis-31302	98	22	[	[	X
fcis-31302	98	23	15	15	NUM
fcis-31302	98	24	]	]	PUNCT
fcis-31302	98	25	.	.	PUNCT
fcis-31302	99	1	(	(	PUNCT
fcis-31302	99	2	2	2	X
fcis-31302	99	3	)	)	PUNCT
fcis-31302	99	4	flood	flood	NOUN
fcis-31302	99	5	monitoring	monitoring	NOUN
fcis-31302	99	6	:	:	PUNCT
fcis-31302	99	7	integrating	integrate	VERB
fcis-31302	99	8	remote	remote	ADJ
fcis-31302	99	9	sensing	sensing	NOUN
fcis-31302	99	10	images	image	NOUN
fcis-31302	99	11	,	,	PUNCT
fcis-31302	99	12	hydrological	hydrological	ADJ
fcis-31302	99	13	data	datum	NOUN
fcis-31302	99	14	and	and	CCONJ
fcis-31302	99	15	social	social	ADJ
fcis-31302	99	16	media	medium	NOUN
fcis-31302	99	17	information	information	NOUN
fcis-31302	99	18	can	can	AUX
fcis-31302	99	19	realize	realize	VERB
fcis-31302	99	20	real	real	ADJ
fcis-31302	99	21	-	-	PUNCT
fcis-31302	99	22	time	time	NOUN
fcis-31302	99	23	monitoring	monitoring	NOUN
fcis-31302	99	24	and	and	CCONJ
fcis-31302	99	25	early	early	ADJ
fcis-31302	99	26	warning	warning	NOUN
fcis-31302	99	27	of	of	ADP
fcis-31302	99	28	flood	flood	NOUN
fcis-31302	99	29	range	range	NOUN
fcis-31302	99	30	[	[	X
fcis-31302	99	31	11	11	NUM
fcis-31302	99	32	]	]	PUNCT
fcis-31302	99	33	.	.	PUNCT
fcis-31302	100	1	(	(	PUNCT
fcis-31302	100	2	3	3	X
fcis-31302	100	3	)	)	PUNCT
fcis-31302	100	4	typhoon	typhoon	NOUN
fcis-31302	100	5	prediction	prediction	NOUN
fcis-31302	100	6	:	:	PUNCT
fcis-31302	100	7	integrating	integrate	VERB
fcis-31302	100	8	meteorological	meteorological	ADJ
fcis-31302	100	9	data	datum	NOUN
fcis-31302	100	10	,	,	PUNCT
fcis-31302	100	11	satellite	satellite	NOUN
fcis-31302	100	12	images	image	NOUN
fcis-31302	100	13	and	and	CCONJ
fcis-31302	100	14	ocean	ocean	NOUN
fcis-31302	100	15	sensor	sensor	NOUN
fcis-31302	100	16	data	datum	NOUN
fcis-31302	100	17	can	can	AUX
fcis-31302	100	18	improve	improve	VERB
fcis-31302	100	19	the	the	DET
fcis-31302	100	20	prediction	prediction	NOUN
fcis-31302	100	21	accuracy	accuracy	NOUN
fcis-31302	100	22	of	of	ADP
fcis-31302	100	23	typhoon	typhoon	NOUN
fcis-31302	100	24	track	track	NOUN
fcis-31302	100	25	and	and	CCONJ
fcis-31302	100	26	intensity	intensity	NOUN
fcis-31302	100	27	[	[	X
fcis-31302	100	28	8	8	NUM
fcis-31302	100	29	]	]	PUNCT
fcis-31302	100	30	.	.	PUNCT
fcis-31302	101	1	3	3	X
fcis-31302	101	2	.	.	X
fcis-31302	101	3	key	key	ADJ
fcis-31302	101	4	technologies	technology	NOUN
fcis-31302	101	5	of	of	ADP
fcis-31302	101	6	multimodal	multimodal	ADJ
fcis-31302	101	7	information	information	NOUN
fcis-31302	101	8	fusion	fusion	NOUN
fcis-31302	101	9	multimodal	multimodal	NOUN
fcis-31302	101	10	information	information	NOUN
fcis-31302	101	11	fusion	fusion	NOUN
fcis-31302	101	12	is	be	AUX
fcis-31302	101	13	the	the	DET
fcis-31302	101	14	core	core	NOUN
fcis-31302	101	15	driving	driving	NOUN
fcis-31302	101	16	force	force	NOUN
fcis-31302	101	17	of	of	ADP
fcis-31302	101	18	real	real	ADJ
fcis-31302	101	19	-	-	PUNCT
fcis-31302	101	20	time	time	NOUN
fcis-31302	101	21	intelligent	intelligent	ADJ
fcis-31302	101	22	monitoring	monitoring	NOUN
fcis-31302	101	23	and	and	CCONJ
fcis-31302	101	24	early	early	ADJ
fcis-31302	101	25	warning	warning	NOUN
fcis-31302	101	26	of	of	ADP
fcis-31302	101	27	natural	natural	ADJ
fcis-31302	101	28	disasters	disaster	NOUN
fcis-31302	101	29	.	.	PUNCT
fcis-31302	102	1	its	its	PRON
fcis-31302	102	2	technical	technical	ADJ
fcis-31302	102	3	system	system	NOUN
fcis-31302	102	4	covers	cover	VERB
fcis-31302	102	5	data	datum	NOUN
fcis-31302	102	6	acquisition	acquisition	NOUN
fcis-31302	102	7	and	and	CCONJ
fcis-31302	102	8	preprocessing	preprocessing	NOUN
fcis-31302	102	9	,	,	PUNCT
fcis-31302	102	10	feature	feature	NOUN
fcis-31302	102	11	extraction	extraction	NOUN
fcis-31302	102	12	and	and	CCONJ
fcis-31302	102	13	representation	representation	NOUN
fcis-31302	102	14	,	,	PUNCT
fcis-31302	102	15	fusion	fusion	NOUN
fcis-31302	102	16	algorithm	algorithm	NOUN
fcis-31302	102	17	and	and	CCONJ
fcis-31302	102	18	model	model	NOUN
fcis-31302	102	19	,	,	PUNCT
fcis-31302	102	20	and	and	CCONJ
fcis-31302	102	21	real	real	ADJ
fcis-31302	102	22	-	-	PUNCT
fcis-31302	102	23	time	time	NOUN
fcis-31302	102	24	optimization	optimization	NOUN
fcis-31302	102	25	technology	technology	NOUN
fcis-31302	102	26	.	.	PUNCT
fcis-31302	103	1	4	4	NUM
fcis-31302	103	2	3.1	3.1	NUM
fcis-31302	103	3	.	.	PUNCT
fcis-31302	103	4	data	datum	NOUN
fcis-31302	103	5	acquisition	acquisition	NOUN
fcis-31302	103	6	and	and	CCONJ
fcis-31302	103	7	preprocessing	preprocesse	VERB
fcis-31302	103	8	the	the	DET
fcis-31302	103	9	first	first	ADJ
fcis-31302	103	10	step	step	NOUN
fcis-31302	103	11	of	of	ADP
fcis-31302	103	12	multimodal	multimodal	NOUN
fcis-31302	103	13	information	information	NOUN
fcis-31302	103	14	fusion	fusion	NOUN
fcis-31302	103	15	is	be	AUX
fcis-31302	103	16	to	to	PART
fcis-31302	103	17	obtain	obtain	VERB
fcis-31302	103	18	high	high	ADJ
fcis-31302	103	19	-	-	PUNCT
fcis-31302	103	20	quality	quality	NOUN
fcis-31302	103	21	multi	multi	ADJ
fcis-31302	103	22	-	-	ADJ
fcis-31302	103	23	source	source	NOUN
fcis-31302	103	24	data	datum	NOUN
fcis-31302	103	25	and	and	CCONJ
fcis-31302	103	26	preprocess	preprocess	NOUN
fcis-31302	103	27	it	it	PRON
fcis-31302	103	28	to	to	PART
fcis-31302	103	29	ensure	ensure	VERB
fcis-31302	103	30	data	datum	NOUN
fcis-31302	103	31	consistency	consistency	NOUN
fcis-31302	103	32	and	and	CCONJ
fcis-31302	103	33	availability	availability	NOUN
fcis-31302	103	34	.	.	PUNCT
fcis-31302	104	1	in	in	ADP
fcis-31302	104	2	natural	natural	ADJ
fcis-31302	104	3	disaster	disaster	NOUN
fcis-31302	104	4	monitoring	monitoring	NOUN
fcis-31302	104	5	,	,	PUNCT
fcis-31302	104	6	data	datum	NOUN
fcis-31302	104	7	sources	source	NOUN
fcis-31302	104	8	are	be	AUX
fcis-31302	104	9	diverse	diverse	ADJ
fcis-31302	104	10	,	,	PUNCT
fcis-31302	104	11	including	include	VERB
fcis-31302	104	12	satellite	satellite	NOUN
fcis-31302	104	13	remote	remote	ADJ
fcis-31302	104	14	sensing	sensing	NOUN
fcis-31302	104	15	,	,	PUNCT
fcis-31302	104	16	ground	ground	NOUN
fcis-31302	104	17	sensors	sensor	NOUN
fcis-31302	104	18	,	,	PUNCT
fcis-31302	104	19	social	social	ADJ
fcis-31302	104	20	media	medium	NOUN
fcis-31302	104	21	and	and	CCONJ
fcis-31302	104	22	uavs	uavs	NOUN
fcis-31302	104	23	.	.	PUNCT
fcis-31302	105	1	each	each	DET
fcis-31302	105	2	data	datum	NOUN
fcis-31302	105	3	source	source	NOUN
fcis-31302	105	4	has	have	VERB
fcis-31302	105	5	a	a	DET
fcis-31302	105	6	unique	unique	ADJ
fcis-31302	105	7	acquisition	acquisition	NOUN
fcis-31302	105	8	method	method	NOUN
fcis-31302	105	9	and	and	CCONJ
fcis-31302	105	10	preprocessing	preprocessing	NOUN
fcis-31302	105	11	requirements	requirement	NOUN
fcis-31302	105	12	.	.	PUNCT
fcis-31302	106	1	3.1.1	3.1.1	X
fcis-31302	106	2	.	.	PUNCT
fcis-31302	106	3	data	datum	NOUN
fcis-31302	106	4	acquisition	acquisition	NOUN
fcis-31302	106	5	technology	technology	NOUN
fcis-31302	106	6	(	(	PUNCT
fcis-31302	106	7	1	1	NUM
fcis-31302	106	8	)	)	PUNCT
fcis-31302	106	9	satellite	satellite	NOUN
fcis-31302	106	10	remote	remote	ADJ
fcis-31302	106	11	sensing	sensing	NOUN
fcis-31302	106	12	:	:	PUNCT
fcis-31302	106	13	high	high	ADJ
fcis-31302	106	14	resolution	resolution	NOUN
fcis-31302	106	15	satellites	satellite	NOUN
fcis-31302	106	16	provide	provide	VERB
fcis-31302	106	17	optical	optical	ADJ
fcis-31302	106	18	images	image	NOUN
fcis-31302	106	19	and	and	CCONJ
fcis-31302	106	20	synthetic	synthetic	ADJ
fcis-31302	106	21	aperture	aperture	NOUN
fcis-31302	106	22	radar	radar	NOUN
fcis-31302	106	23	(	(	PUNCT
fcis-31302	106	24	sar	sar	PROPN
fcis-31302	106	25	)	)	PUNCT
fcis-31302	106	26	data	datum	NOUN
fcis-31302	106	27	,	,	PUNCT
fcis-31302	106	28	which	which	PRON
fcis-31302	106	29	are	be	AUX
fcis-31302	106	30	suitable	suitable	ADJ
fcis-31302	106	31	for	for	ADP
fcis-31302	106	32	flood	flood	NOUN
fcis-31302	106	33	,	,	PUNCT
fcis-31302	106	34	landslide	landslide	NOUN
fcis-31302	106	35	and	and	CCONJ
fcis-31302	106	36	wildfire	wildfire	NOUN
fcis-31302	106	37	monitoring	monitoring	NOUN
fcis-31302	106	38	.	.	PUNCT
fcis-31302	107	1	zhou	zhou	PROPN
fcis-31302	107	2	pointed	point	VERB
fcis-31302	107	3	out	out	ADP
fcis-31302	107	4	that	that	SCONJ
fcis-31302	107	5	the	the	DET
fcis-31302	107	6	sar	sar	PROPN
fcis-31302	107	7	data	datum	NOUN
fcis-31302	107	8	of	of	ADP
fcis-31302	107	9	sentinel-1	sentinel-1	NUM
fcis-31302	107	10	can	can	AUX
fcis-31302	107	11	monitor	monitor	VERB
fcis-31302	107	12	the	the	DET
fcis-31302	107	13	flood	flood	NOUN
fcis-31302	107	14	range	range	NOUN
fcis-31302	107	15	under	under	ADP
fcis-31302	107	16	cloud	cloud	NOUN
fcis-31302	107	17	cover	cover	NOUN
fcis-31302	107	18	,	,	PUNCT
fcis-31302	107	19	significantly	significantly	ADV
fcis-31302	107	20	improving	improve	VERB
fcis-31302	107	21	the	the	DET
fcis-31302	107	22	data	data	NOUN
fcis-31302	107	23	availability	availability	NOUN
fcis-31302	107	24	[	[	X
fcis-31302	107	25	6	6	NUM
fcis-31302	107	26	]	]	PUNCT
fcis-31302	107	27	.	.	PUNCT
fcis-31302	108	1	(	(	PUNCT
fcis-31302	108	2	2	2	X
fcis-31302	108	3	)	)	PUNCT
fcis-31302	108	4	ground	ground	NOUN
fcis-31302	108	5	sensors	sensor	NOUN
fcis-31302	108	6	:	:	PUNCT
fcis-31302	108	7	seismometers	seismometer	NOUN
fcis-31302	108	8	,	,	PUNCT
fcis-31302	108	9	hydrological	hydrological	ADJ
fcis-31302	108	10	stations	station	NOUN
fcis-31302	108	11	and	and	CCONJ
fcis-31302	108	12	weather	weather	NOUN
fcis-31302	108	13	stations	station	NOUN
fcis-31302	108	14	provide	provide	VERB
fcis-31302	108	15	high	high	ADJ
fcis-31302	108	16	-	-	PUNCT
fcis-31302	108	17	precision	precision	NOUN
fcis-31302	108	18	time	time	NOUN
fcis-31302	108	19	series	series	PROPN
fcis-31302	108	20	data	data	PROPN
fcis-31302	108	21	.	.	PUNCT
fcis-31302	109	1	strong	strong	ADJ
fcis-31302	109	2	motion	motion	NOUN
fcis-31302	109	3	instruments	instrument	NOUN
fcis-31302	109	4	commonly	commonly	ADV
fcis-31302	109	5	used	use	VERB
fcis-31302	109	6	in	in	ADP
fcis-31302	109	7	seismic	seismic	ADJ
fcis-31302	109	8	monitoring	monitoring	NOUN
fcis-31302	109	9	can	can	AUX
fcis-31302	109	10	record	record	VERB
fcis-31302	109	11	seismic	seismic	ADJ
fcis-31302	109	12	wave	wave	NOUN
fcis-31302	109	13	signals	signal	NOUN
fcis-31302	109	14	at	at	ADP
fcis-31302	109	15	high	high	ADJ
fcis-31302	109	16	frequencies	frequency	NOUN
fcis-31302	109	17	[	[	X
fcis-31302	109	18	5	5	NUM
fcis-31302	109	19	]	]	PUNCT
fcis-31302	109	20	.	.	PUNCT
fcis-31302	110	1	(	(	PUNCT
fcis-31302	110	2	3	3	X
fcis-31302	110	3	)	)	PUNCT
fcis-31302	110	4	social	social	ADJ
fcis-31302	110	5	media	medium	NOUN
fcis-31302	110	6	:	:	PUNCT
fcis-31302	110	7	twitter	twitter	NOUN
fcis-31302	110	8	,	,	PUNCT
fcis-31302	110	9	weibo	weibo	NOUN
fcis-31302	110	10	and	and	CCONJ
fcis-31302	110	11	other	other	ADJ
fcis-31302	110	12	platforms	platform	NOUN
fcis-31302	110	13	provide	provide	VERB
fcis-31302	110	14	real	real	ADJ
fcis-31302	110	15	-	-	PUNCT
fcis-31302	110	16	time	time	NOUN
fcis-31302	110	17	text	text	NOUN
fcis-31302	110	18	and	and	CCONJ
fcis-31302	110	19	image	image	NOUN
fcis-31302	110	20	data	datum	NOUN
fcis-31302	110	21	to	to	PART
fcis-31302	110	22	reflect	reflect	VERB
fcis-31302	110	23	the	the	DET
fcis-31302	110	24	impact	impact	NOUN
fcis-31302	110	25	of	of	ADP
fcis-31302	110	26	disasters	disaster	NOUN
fcis-31302	110	27	and	and	CCONJ
fcis-31302	110	28	public	public	ADJ
fcis-31302	110	29	feedback	feedback	NOUN
fcis-31302	110	30	.	.	PUNCT
fcis-31302	111	1	ahuja	ahuja	PROPN
fcis-31302	111	2	uses	use	VERB
fcis-31302	111	3	social	social	ADJ
fcis-31302	111	4	data	datum	NOUN
fcis-31302	111	5	for	for	ADP
fcis-31302	111	6	realtime	realtime	ADJ
fcis-31302	111	7	flood	flood	NOUN
fcis-31302	111	8	monitoring	monitoring	NOUN
fcis-31302	111	9	[	[	X
fcis-31302	111	10	9	9	NUM
fcis-31302	111	11	]	]	PUNCT
fcis-31302	111	12	.	.	PUNCT
fcis-31302	112	1	(	(	PUNCT
fcis-31302	112	2	4	4	X
fcis-31302	112	3	)	)	PUNCT
fcis-31302	112	4	uav	uav	PROPN
fcis-31302	112	5	and	and	CCONJ
fcis-31302	112	6	internet	internet	NOUN
fcis-31302	112	7	of	of	ADP
fcis-31302	112	8	things	thing	NOUN
fcis-31302	112	9	:	:	PUNCT
fcis-31302	112	10	uav	uav	PROPN
fcis-31302	112	11	provides	provide	VERB
fcis-31302	112	12	highresolution	highresolution	NOUN
fcis-31302	112	13	images	image	NOUN
fcis-31302	112	14	and	and	CCONJ
fcis-31302	112	15	videos	video	NOUN
fcis-31302	112	16	,	,	PUNCT
fcis-31302	112	17	which	which	PRON
fcis-31302	112	18	are	be	AUX
fcis-31302	112	19	suitable	suitable	ADJ
fcis-31302	112	20	for	for	ADP
fcis-31302	112	21	local	local	ADJ
fcis-31302	112	22	disaster	disaster	NOUN
fcis-31302	112	23	assessment	assessment	NOUN
fcis-31302	112	24	;	;	PUNCT
fcis-31302	112	25	iot	iot	PROPN
fcis-31302	112	26	devices	device	NOUN
fcis-31302	112	27	support	support	VERB
fcis-31302	112	28	distributed	distribute	VERB
fcis-31302	112	29	data	datum	NOUN
fcis-31302	112	30	collection	collection	NOUN
fcis-31302	112	31	[	[	X
fcis-31302	112	32	14	14	NUM
fcis-31302	112	33	]	]	PUNCT
fcis-31302	112	34	.	.	PUNCT
fcis-31302	113	1	3.1.2	3.1.2	X
fcis-31302	113	2	.	.	PUNCT
fcis-31302	113	3	data	datum	NOUN
fcis-31302	113	4	preprocessing	preprocessing	NOUN
fcis-31302	113	5	method	method	NOUN
fcis-31302	113	6	the	the	DET
fcis-31302	113	7	heterogeneity	heterogeneity	NOUN
fcis-31302	113	8	of	of	ADP
fcis-31302	113	9	multimodal	multimodal	NOUN
fcis-31302	113	10	data	datum	NOUN
fcis-31302	113	11	requires	require	VERB
fcis-31302	113	12	targeted	target	VERB
fcis-31302	113	13	preprocessing	preprocessing	NOUN
fcis-31302	113	14	techniques	technique	NOUN
fcis-31302	113	15	,	,	PUNCT
fcis-31302	113	16	including	include	VERB
fcis-31302	113	17	:	:	PUNCT
fcis-31302	113	18	(	(	PUNCT
fcis-31302	113	19	1	1	X
fcis-31302	113	20	)	)	PUNCT
fcis-31302	113	21	noise	noise	NOUN
fcis-31302	113	22	removal	removal	NOUN
fcis-31302	113	23	:	:	PUNCT
fcis-31302	113	24	such	such	ADJ
fcis-31302	113	25	as	as	ADP
fcis-31302	113	26	cloud	cloud	ADJ
fcis-31302	113	27	removal	removal	NOUN
fcis-31302	113	28	of	of	ADP
fcis-31302	113	29	remote	remote	ADJ
fcis-31302	113	30	sensing	sensing	NOUN
fcis-31302	113	31	images	image	NOUN
fcis-31302	113	32	or	or	CCONJ
fcis-31302	113	33	social	social	ADJ
fcis-31302	113	34	media	medium	NOUN
fcis-31302	113	35	text	text	NOUN
fcis-31302	113	36	denoising	denoise	VERB
fcis-31302	114	1	[	[	X
fcis-31302	114	2	10	10	NUM
fcis-31302	114	3	]	]	PUNCT
fcis-31302	114	4	.	.	PUNCT
fcis-31302	115	1	(	(	PUNCT
fcis-31302	115	2	2	2	X
fcis-31302	115	3	)	)	PUNCT
fcis-31302	115	4	data	datum	NOUN
fcis-31302	115	5	alignment	alignment	NOUN
fcis-31302	115	6	:	:	PUNCT
fcis-31302	115	7	time	time	NOUN
fcis-31302	115	8	and	and	CCONJ
fcis-31302	115	9	space	space	NOUN
fcis-31302	115	10	alignment	alignment	NOUN
fcis-31302	115	11	is	be	AUX
fcis-31302	115	12	the	the	DET
fcis-31302	115	13	key	key	NOUN
fcis-31302	115	14	,	,	PUNCT
fcis-31302	115	15	such	such	ADJ
fcis-31302	115	16	as	as	ADP
fcis-31302	115	17	aligning	align	VERB
fcis-31302	115	18	satellite	satellite	NOUN
fcis-31302	115	19	images	image	NOUN
fcis-31302	115	20	with	with	ADP
fcis-31302	115	21	ground	ground	NOUN
fcis-31302	115	22	sensor	sensor	NOUN
fcis-31302	115	23	data	datum	NOUN
fcis-31302	115	24	to	to	ADP
fcis-31302	115	25	a	a	DET
fcis-31302	115	26	unified	unified	ADJ
fcis-31302	115	27	coordinate	coordinate	NOUN
fcis-31302	115	28	system	system	NOUN
fcis-31302	115	29	[	[	X
fcis-31302	115	30	2	2	NUM
fcis-31302	115	31	]	]	PUNCT
fcis-31302	115	32	.	.	PUNCT
fcis-31302	116	1	(	(	PUNCT
fcis-31302	116	2	3	3	X
fcis-31302	116	3	)	)	PUNCT
fcis-31302	116	4	standardization	standardization	NOUN
fcis-31302	116	5	and	and	CCONJ
fcis-31302	116	6	normalization	normalization	NOUN
fcis-31302	116	7	:	:	PUNCT
fcis-31302	116	8	normalize	normalize	VERB
fcis-31302	116	9	different	different	ADJ
fcis-31302	116	10	modal	modal	ADJ
fcis-31302	116	11	data	datum	NOUN
fcis-31302	116	12	to	to	ADP
fcis-31302	116	13	a	a	DET
fcis-31302	116	14	unified	unified	ADJ
fcis-31302	116	15	scale	scale	NOUN
fcis-31302	116	16	to	to	PART
fcis-31302	116	17	support	support	VERB
fcis-31302	116	18	subsequent	subsequent	ADJ
fcis-31302	116	19	fusion	fusion	NOUN
fcis-31302	116	20	.	.	PUNCT
fcis-31302	117	1	(	(	PUNCT
fcis-31302	117	2	4	4	X
fcis-31302	117	3	)	)	PUNCT
fcis-31302	117	4	modal	modal	ADJ
fcis-31302	117	5	missing	miss	VERB
fcis-31302	117	6	processing	processing	NOUN
fcis-31302	117	7	:	:	PUNCT
fcis-31302	117	8	aiming	aim	VERB
fcis-31302	117	9	at	at	ADP
fcis-31302	117	10	the	the	DET
fcis-31302	117	11	problem	problem	NOUN
fcis-31302	117	12	of	of	ADP
fcis-31302	117	13	missing	miss	VERB
fcis-31302	117	14	data	datum	NOUN
fcis-31302	117	15	,	,	PUNCT
fcis-31302	117	16	researchers	researcher	NOUN
fcis-31302	117	17	developed	develop	VERB
fcis-31302	117	18	interpolation	interpolation	NOUN
fcis-31302	117	19	method	method	NOUN
fcis-31302	117	20	and	and	CCONJ
fcis-31302	117	21	generation	generation	NOUN
fcis-31302	117	22	model	model	NOUN
fcis-31302	117	23	to	to	PART
fcis-31302	117	24	fill	fill	VERB
fcis-31302	117	25	the	the	DET
fcis-31302	117	26	missing	miss	VERB
fcis-31302	117	27	data	datum	NOUN
fcis-31302	117	28	,	,	PUNCT
fcis-31302	117	29	such	such	ADJ
fcis-31302	117	30	as	as	ADP
fcis-31302	117	31	gan	gan	NOUN
fcis-31302	117	32	[	[	PUNCT
fcis-31302	117	33	16	16	NUM
fcis-31302	117	34	]	]	PUNCT
fcis-31302	117	35	.	.	PUNCT
fcis-31302	118	1	3.2	3.2	NUM
fcis-31302	118	2	.	.	PUNCT
fcis-31302	119	1	feature	feature	NOUN
fcis-31302	119	2	extraction	extraction	NOUN
fcis-31302	119	3	and	and	CCONJ
fcis-31302	119	4	representation	representation	NOUN
fcis-31302	119	5	feature	feature	NOUN
fcis-31302	119	6	extraction	extraction	NOUN
fcis-31302	119	7	and	and	CCONJ
fcis-31302	119	8	representation	representation	NOUN
fcis-31302	119	9	is	be	AUX
fcis-31302	119	10	the	the	DET
fcis-31302	119	11	core	core	NOUN
fcis-31302	119	12	of	of	ADP
fcis-31302	119	13	multimodal	multimodal	ADJ
fcis-31302	119	14	information	information	NOUN
fcis-31302	119	15	fusion	fusion	NOUN
fcis-31302	119	16	.	.	PUNCT
fcis-31302	120	1	it	it	PRON
fcis-31302	120	2	aims	aim	VERB
fcis-31302	120	3	to	to	PART
fcis-31302	120	4	extract	extract	VERB
fcis-31302	120	5	meaningful	meaningful	ADJ
fcis-31302	120	6	features	feature	NOUN
fcis-31302	120	7	from	from	ADP
fcis-31302	120	8	modal	modal	ADJ
fcis-31302	120	9	data	datum	NOUN
fcis-31302	120	10	and	and	CCONJ
fcis-31302	120	11	build	build	VERB
fcis-31302	120	12	a	a	DET
fcis-31302	120	13	unified	unified	ADJ
fcis-31302	120	14	representation	representation	NOUN
fcis-31302	120	15	to	to	PART
fcis-31302	120	16	support	support	VERB
fcis-31302	120	17	subsequent	subsequent	ADJ
fcis-31302	120	18	fusion	fusion	NOUN
fcis-31302	120	19	and	and	CCONJ
fcis-31302	120	20	modeling	modeling	NOUN
fcis-31302	120	21	.	.	PUNCT
fcis-31302	121	1	feature	feature	NOUN
fcis-31302	121	2	extraction	extraction	NOUN
fcis-31302	121	3	techniques	technique	NOUN
fcis-31302	121	4	for	for	ADP
fcis-31302	121	5	different	different	ADJ
fcis-31302	121	6	modes	mode	NOUN
fcis-31302	121	7	mainly	mainly	ADV
fcis-31302	121	8	include	include	VERB
fcis-31302	121	9	:	:	PUNCT
fcis-31302	121	10	(	(	PUNCT
fcis-31302	121	11	1	1	X
fcis-31302	121	12	)	)	PUNCT
fcis-31302	121	13	image	image	NOUN
fcis-31302	121	14	data	datum	NOUN
fcis-31302	121	15	:	:	PUNCT
fcis-31302	121	16	convolutional	convolutional	ADJ
fcis-31302	121	17	neural	neural	ADJ
fcis-31302	121	18	network	network	NOUN
fcis-31302	121	19	(	(	PUNCT
fcis-31302	121	20	cnn	cnn	PROPN
fcis-31302	121	21	)	)	PUNCT
fcis-31302	121	22	is	be	AUX
fcis-31302	121	23	widely	widely	ADV
fcis-31302	121	24	used	use	VERB
fcis-31302	121	25	to	to	PART
fcis-31302	121	26	extract	extract	VERB
fcis-31302	121	27	spatial	spatial	ADJ
fcis-31302	121	28	features	feature	NOUN
fcis-31302	121	29	from	from	ADP
fcis-31302	121	30	remote	remote	ADJ
fcis-31302	121	31	sensing	sensing	NOUN
fcis-31302	121	32	images	image	NOUN
fcis-31302	121	33	or	or	CCONJ
fcis-31302	121	34	uav	uav	NOUN
fcis-31302	121	35	images	image	NOUN
fcis-31302	121	36	.	.	PUNCT
fcis-31302	122	1	resnet	resnet	NOUN
fcis-31302	122	2	and	and	CCONJ
fcis-31302	122	3	u	u	ADJ
fcis-31302	122	4	-	-	ADJ
fcis-31302	122	5	net	net	ADJ
fcis-31302	122	6	models	model	NOUN
fcis-31302	122	7	perform	perform	VERB
fcis-31302	122	8	well	well	ADV
fcis-31302	122	9	in	in	ADP
fcis-31302	122	10	flood	flood	NOUN
fcis-31302	122	11	range	range	NOUN
fcis-31302	122	12	detection	detection	NOUN
fcis-31302	122	13	[	[	X
fcis-31302	122	14	6	6	NUM
fcis-31302	122	15	]	]	PUNCT
fcis-31302	122	16	.	.	PUNCT
fcis-31302	123	1	(	(	PUNCT
fcis-31302	123	2	2	2	NUM
fcis-31302	123	3	)	)	PUNCT
fcis-31302	123	4	time	time	NOUN
fcis-31302	123	5	series	series	PROPN
fcis-31302	123	6	data	data	PROPN
fcis-31302	123	7	:	:	PUNCT
fcis-31302	123	8	the	the	DET
fcis-31302	123	9	recurrent	recurrent	ADJ
fcis-31302	123	10	neural	neural	ADJ
fcis-31302	123	11	network	network	NOUN
fcis-31302	123	12	(	(	PUNCT
fcis-31302	123	13	rnn	rnn	PROPN
fcis-31302	123	14	)	)	PUNCT
fcis-31302	123	15	and	and	CCONJ
fcis-31302	123	16	its	its	PRON
fcis-31302	123	17	variants	variant	NOUN
fcis-31302	123	18	(	(	PUNCT
fcis-31302	123	19	such	such	ADJ
fcis-31302	123	20	as	as	ADP
fcis-31302	123	21	lstm	lstm	NOUN
fcis-31302	123	22	and	and	CCONJ
fcis-31302	123	23	gru	gru	NOUN
fcis-31302	123	24	)	)	PUNCT
fcis-31302	123	25	are	be	AUX
fcis-31302	123	26	suitable	suitable	ADJ
fcis-31302	123	27	for	for	ADP
fcis-31302	123	28	processing	process	VERB
fcis-31302	123	29	the	the	DET
fcis-31302	123	30	time	time	NOUN
fcis-31302	123	31	dependence	dependence	NOUN
fcis-31302	123	32	of	of	ADP
fcis-31302	123	33	seismic	seismic	ADJ
fcis-31302	123	34	wave	wave	NOUN
fcis-31302	123	35	or	or	CCONJ
fcis-31302	123	36	hydrological	hydrological	ADJ
fcis-31302	123	37	data	datum	NOUN
fcis-31302	123	38	[	[	X
fcis-31302	123	39	12	12	NUM
fcis-31302	123	40	]	]	PUNCT
fcis-31302	123	41	.	.	PUNCT
fcis-31302	124	1	(	(	PUNCT
fcis-31302	124	2	3	3	X
fcis-31302	124	3	)	)	PUNCT
fcis-31302	124	4	text	text	NOUN
fcis-31302	124	5	data	datum	NOUN
fcis-31302	124	6	:	:	PUNCT
fcis-31302	124	7	natural	natural	ADJ
fcis-31302	124	8	language	language	NOUN
fcis-31302	124	9	processing	processing	NOUN
fcis-31302	124	10	(	(	PUNCT
fcis-31302	124	11	nlp	nlp	NOUN
fcis-31302	124	12	)	)	PUNCT
fcis-31302	124	13	technology	technology	NOUN
fcis-31302	124	14	is	be	AUX
fcis-31302	124	15	used	use	VERB
fcis-31302	124	16	to	to	PART
fcis-31302	124	17	extract	extract	VERB
fcis-31302	124	18	semantic	semantic	ADJ
fcis-31302	124	19	features	feature	NOUN
fcis-31302	124	20	from	from	ADP
fcis-31302	124	21	social	social	ADJ
fcis-31302	124	22	media	medium	NOUN
fcis-31302	124	23	text	text	NOUN
fcis-31302	125	1	[	[	X
fcis-31302	125	2	9	9	NUM
fcis-31302	125	3	]	]	PUNCT
fcis-31302	125	4	.	.	PUNCT
fcis-31302	126	1	(	(	PUNCT
fcis-31302	126	2	4	4	X
fcis-31302	126	3	)	)	PUNCT
fcis-31302	126	4	multimodal	multimodal	NOUN
fcis-31302	126	5	joint	joint	ADJ
fcis-31302	126	6	feature	feature	NOUN
fcis-31302	126	7	extraction	extraction	NOUN
fcis-31302	126	8	:	:	PUNCT
fcis-31302	126	9	in	in	ADP
fcis-31302	126	10	recent	recent	ADJ
fcis-31302	126	11	years	year	NOUN
fcis-31302	126	12	,	,	PUNCT
fcis-31302	126	13	research	research	NOUN
fcis-31302	126	14	has	have	AUX
fcis-31302	126	15	explored	explore	VERB
fcis-31302	126	16	cross	cross	NOUN
fcis-31302	126	17	modal	modal	ADJ
fcis-31302	126	18	feature	feature	NOUN
fcis-31302	126	19	extraction	extraction	NOUN
fcis-31302	126	20	methods	method	NOUN
fcis-31302	126	21	,	,	PUNCT
fcis-31302	126	22	such	such	ADJ
fcis-31302	126	23	as	as	ADP
fcis-31302	126	24	transformer	transformer	NOUN
fcis-31302	126	25	model	model	NOUN
fcis-31302	126	26	based	base	VERB
fcis-31302	126	27	on	on	ADP
fcis-31302	126	28	attention	attention	NOUN
fcis-31302	126	29	mechanism	mechanism	NOUN
fcis-31302	126	30	,	,	PUNCT
fcis-31302	126	31	to	to	PART
fcis-31302	126	32	achieve	achieve	VERB
fcis-31302	126	33	more	more	ADV
fcis-31302	126	34	efficient	efficient	ADJ
fcis-31302	126	35	representation	representation	NOUN
fcis-31302	126	36	by	by	ADP
fcis-31302	126	37	dynamically	dynamically	ADV
fcis-31302	126	38	weighting	weight	VERB
fcis-31302	126	39	the	the	DET
fcis-31302	126	40	features	feature	NOUN
fcis-31302	126	41	of	of	ADP
fcis-31302	126	42	different	different	ADJ
fcis-31302	126	43	modes	mode	NOUN
fcis-31302	126	44	[	[	X
fcis-31302	126	45	4	4	NUM
fcis-31302	126	46	]	]	PUNCT
fcis-31302	126	47	.	.	PUNCT
fcis-31302	127	1	multimodal	multimodal	NOUN
fcis-31302	127	2	feature	feature	NOUN
fcis-31302	127	3	representation	representation	NOUN
fcis-31302	127	4	methods	method	NOUN
fcis-31302	127	5	mainly	mainly	ADV
fcis-31302	127	6	include	include	VERB
fcis-31302	127	7	:	:	PUNCT
fcis-31302	127	8	(	(	PUNCT
fcis-31302	127	9	1	1	X
fcis-31302	127	10	)	)	PUNCT
fcis-31302	127	11	embedding	embed	VERB
fcis-31302	127	12	representation	representation	NOUN
fcis-31302	127	13	:	:	PUNCT
fcis-31302	127	14	map	map	VERB
fcis-31302	127	15	the	the	DET
fcis-31302	127	16	features	feature	NOUN
fcis-31302	127	17	of	of	ADP
fcis-31302	127	18	different	different	ADJ
fcis-31302	127	19	modes	mode	NOUN
fcis-31302	127	20	to	to	ADP
fcis-31302	127	21	a	a	DET
fcis-31302	127	22	unified	unified	ADJ
fcis-31302	127	23	embedding	embed	VERB
fcis-31302	127	24	space	space	NOUN
fcis-31302	127	25	,	,	PUNCT
fcis-31302	127	26	such	such	ADJ
fcis-31302	127	27	as	as	ADP
fcis-31302	127	28	realizing	realize	VERB
fcis-31302	127	29	cross	cross	NOUN
fcis-31302	127	30	modal	modal	ADJ
fcis-31302	127	31	alignment	alignment	NOUN
fcis-31302	127	32	through	through	ADP
fcis-31302	127	33	multimodal	multimodal	NOUN
fcis-31302	127	34	self	self	NOUN
fcis-31302	127	35	encoder	encoder	NOUN
fcis-31302	127	36	(	(	PUNCT
fcis-31302	127	37	mae	mae	PROPN
fcis-31302	127	38	)	)	PUNCT
fcis-31302	128	1	[	[	X
fcis-31302	128	2	17	17	NUM
fcis-31302	128	3	]	]	PUNCT
fcis-31302	128	4	.	.	PUNCT
fcis-31302	129	1	(	(	PUNCT
fcis-31302	129	2	2	2	X
fcis-31302	129	3	)	)	PUNCT
fcis-31302	129	4	joint	joint	ADJ
fcis-31302	129	5	representation	representation	NOUN
fcis-31302	129	6	:	:	PUNCT
fcis-31302	129	7	joint	joint	ADJ
fcis-31302	129	8	feature	feature	NOUN
fcis-31302	129	9	representation	representation	NOUN
fcis-31302	129	10	is	be	AUX
fcis-31302	129	11	constructed	construct	VERB
fcis-31302	129	12	by	by	ADP
fcis-31302	129	13	splicing	splicing	NOUN
fcis-31302	129	14	or	or	CCONJ
fcis-31302	129	15	weighted	weight	VERB
fcis-31302	129	16	fusion	fusion	NOUN
fcis-31302	129	17	of	of	ADP
fcis-31302	129	18	feature	feature	NOUN
fcis-31302	129	19	vectors	vector	NOUN
fcis-31302	129	20	of	of	ADP
fcis-31302	129	21	different	different	ADJ
fcis-31302	129	22	modes	mode	NOUN
fcis-31302	129	23	.	.	PUNCT
fcis-31302	130	1	zhang	zhang	PROPN
fcis-31302	130	2	spliced	splice	VERB
fcis-31302	130	3	the	the	DET
fcis-31302	130	4	features	feature	NOUN
fcis-31302	130	5	of	of	ADP
fcis-31302	130	6	satellite	satellite	NOUN
fcis-31302	130	7	images	image	NOUN
fcis-31302	130	8	and	and	CCONJ
fcis-31302	130	9	meteorological	meteorological	ADJ
fcis-31302	130	10	data	datum	NOUN
fcis-31302	130	11	for	for	ADP
fcis-31302	130	12	typhoon	typhoon	NOUN
fcis-31302	130	13	path	path	NOUN
fcis-31302	130	14	prediction	prediction	NOUN
fcis-31302	130	15	[	[	X
fcis-31302	130	16	8	8	NUM
fcis-31302	130	17	]	]	PUNCT
fcis-31302	130	18	.	.	PUNCT
fcis-31302	131	1	(	(	PUNCT
fcis-31302	131	2	3	3	X
fcis-31302	131	3	)	)	PUNCT
fcis-31302	131	4	graph	graph	NOUN
fcis-31302	131	5	neural	neural	ADJ
fcis-31302	131	6	network	network	NOUN
fcis-31302	131	7	(	(	PUNCT
fcis-31302	131	8	gnn	gnn	PROPN
fcis-31302	131	9	):	):	PUNCT
fcis-31302	131	10	gnn	gnn	PROPN
fcis-31302	131	11	generates	generate	VERB
fcis-31302	131	12	structured	structured	ADJ
fcis-31302	131	13	feature	feature	NOUN
fcis-31302	131	14	representation	representation	NOUN
fcis-31302	131	15	by	by	ADP
fcis-31302	131	16	modeling	model	VERB
fcis-31302	131	17	the	the	DET
fcis-31302	131	18	relationship	relationship	NOUN
fcis-31302	131	19	between	between	ADP
fcis-31302	131	20	modes	mode	NOUN
fcis-31302	131	21	,	,	PUNCT
fcis-31302	131	22	which	which	PRON
fcis-31302	131	23	is	be	AUX
fcis-31302	131	24	suitable	suitable	ADJ
fcis-31302	131	25	for	for	ADP
fcis-31302	131	26	complex	complex	ADJ
fcis-31302	131	27	multimodal	multimodal	ADJ
fcis-31302	131	28	scenes	scene	NOUN
fcis-31302	131	29	[	[	X
fcis-31302	131	30	13	13	NUM
fcis-31302	131	31	]	]	PUNCT
fcis-31302	131	32	.	.	PUNCT
fcis-31302	132	1	the	the	DET
fcis-31302	132	2	above	above	ADJ
fcis-31302	132	3	information	information	NOUN
fcis-31302	132	4	is	be	AUX
fcis-31302	132	5	shown	show	VERB
fcis-31302	132	6	in	in	ADP
fcis-31302	132	7	table	table	NOUN
fcis-31302	132	8	2	2	NUM
fcis-31302	132	9	.	.	PUNCT
fcis-31302	132	10	table	table	NOUN
fcis-31302	132	11	2	2	NUM
fcis-31302	132	12	.	.	PUNCT
fcis-31302	132	13	comparison	comparison	NOUN
fcis-31302	132	14	of	of	ADP
fcis-31302	132	15	multimodal	multimodal	ADJ
fcis-31302	132	16	feature	feature	NOUN
fcis-31302	132	17	extraction	extraction	NOUN
fcis-31302	132	18	techniques	technique	NOUN
fcis-31302	132	19	3.3	3.3	NUM
fcis-31302	132	20	.	.	PUNCT
fcis-31302	133	1	fusion	fusion	NOUN
fcis-31302	133	2	algorithm	algorithm	NOUN
fcis-31302	133	3	and	and	CCONJ
fcis-31302	133	4	model	model	NOUN
fcis-31302	133	5	fusion	fusion	NOUN
fcis-31302	133	6	algorithm	algorithm	NOUN
fcis-31302	133	7	and	and	CCONJ
fcis-31302	133	8	model	model	NOUN
fcis-31302	133	9	are	be	AUX
fcis-31302	133	10	the	the	DET
fcis-31302	133	11	core	core	NOUN
fcis-31302	133	12	of	of	ADP
fcis-31302	133	13	multimodal	multimodal	NOUN
fcis-31302	133	14	information	information	NOUN
fcis-31302	133	15	fusion	fusion	NOUN
fcis-31302	133	16	,	,	PUNCT
fcis-31302	133	17	which	which	PRON
fcis-31302	133	18	determines	determine	VERB
fcis-31302	133	19	how	how	SCONJ
fcis-31302	133	20	to	to	PART
fcis-31302	133	21	integrate	integrate	VERB
fcis-31302	133	22	different	different	ADJ
fcis-31302	133	23	modal	modal	NOUN
fcis-31302	133	24	features	feature	NOUN
fcis-31302	133	25	or	or	CCONJ
fcis-31302	133	26	decisions	decision	NOUN
fcis-31302	133	27	to	to	PART
fcis-31302	133	28	generate	generate	VERB
fcis-31302	133	29	the	the	DET
fcis-31302	133	30	final	final	ADJ
fcis-31302	133	31	results	result	NOUN
fcis-31302	133	32	.	.	PUNCT
fcis-31302	134	1	according	accord	VERB
fcis-31302	134	2	to	to	ADP
fcis-31302	134	3	the	the	DET
fcis-31302	134	4	fusion	fusion	NOUN
fcis-31302	134	5	level	level	NOUN
fcis-31302	134	6	,	,	PUNCT
fcis-31302	134	7	it	it	PRON
fcis-31302	134	8	can	can	AUX
fcis-31302	134	9	be	be	AUX
fcis-31302	134	10	divided	divide	VERB
fcis-31302	134	11	into	into	ADP
fcis-31302	134	12	traditional	traditional	ADJ
fcis-31302	134	13	methods	method	NOUN
fcis-31302	134	14	and	and	CCONJ
fcis-31302	134	15	modern	modern	ADJ
fcis-31302	134	16	methods	method	NOUN
fcis-31302	134	17	based	base	VERB
fcis-31302	134	18	on	on	ADP
fcis-31302	134	19	deep	deep	ADJ
fcis-31302	134	20	learning	learning	NOUN
fcis-31302	134	21	.	.	PUNCT
fcis-31302	135	1	traditional	traditional	ADJ
fcis-31302	135	2	fusion	fusion	NOUN
fcis-31302	135	3	methods	method	NOUN
fcis-31302	135	4	mainly	mainly	ADV
fcis-31302	135	5	include	include	VERB
fcis-31302	135	6	:	:	PUNCT
fcis-31302	135	7	(	(	PUNCT
fcis-31302	135	8	1	1	X
fcis-31302	135	9	)	)	PUNCT
fcis-31302	135	10	weighted	weight	VERB
fcis-31302	135	11	average	average	ADJ
fcis-31302	135	12	:	:	PUNCT
fcis-31302	135	13	the	the	DET
fcis-31302	135	14	fusion	fusion	NOUN
fcis-31302	135	15	is	be	AUX
fcis-31302	135	16	achieved	achieve	VERB
fcis-31302	135	17	by	by	ADP
fcis-31302	135	18	weighted	weight	VERB
fcis-31302	135	19	5	5	NUM
fcis-31302	135	20	summation	summation	NOUN
fcis-31302	135	21	of	of	ADP
fcis-31302	135	22	modal	modal	ADJ
fcis-31302	135	23	features	feature	NOUN
fcis-31302	135	24	,	,	PUNCT
fcis-31302	135	25	which	which	PRON
fcis-31302	135	26	is	be	AUX
fcis-31302	135	27	simple	simple	ADJ
fcis-31302	135	28	but	but	CCONJ
fcis-31302	135	29	inflexible	inflexible	ADJ
fcis-31302	135	30	[	[	X
fcis-31302	135	31	7	7	NUM
fcis-31302	135	32	]	]	PUNCT
fcis-31302	135	33	.	.	PUNCT
fcis-31302	136	1	(	(	PUNCT
fcis-31302	136	2	2	2	X
fcis-31302	136	3	)	)	PUNCT
fcis-31302	136	4	kalman	kalman	NOUN
fcis-31302	136	5	filter	filter	NOUN
fcis-31302	136	6	:	:	PUNCT
fcis-31302	136	7	it	it	PRON
fcis-31302	136	8	is	be	AUX
fcis-31302	136	9	used	use	VERB
fcis-31302	136	10	for	for	ADP
fcis-31302	136	11	dynamic	dynamic	ADJ
fcis-31302	136	12	fusion	fusion	NOUN
fcis-31302	136	13	of	of	ADP
fcis-31302	136	14	time	time	NOUN
fcis-31302	136	15	series	series	PROPN
fcis-31302	136	16	data	datum	NOUN
fcis-31302	136	17	and	and	CCONJ
fcis-31302	136	18	is	be	AUX
fcis-31302	136	19	widely	widely	ADV
fcis-31302	136	20	used	use	VERB
fcis-31302	136	21	in	in	ADP
fcis-31302	136	22	earthquake	earthquake	NOUN
fcis-31302	136	23	monitoring	monitoring	NOUN
fcis-31302	136	24	.	.	PUNCT
fcis-31302	137	1	for	for	ADP
fcis-31302	137	2	example	example	NOUN
fcis-31302	137	3	,	,	PUNCT
fcis-31302	137	4	wang	wang	PROPN
fcis-31302	137	5	improved	improve	VERB
fcis-31302	137	6	the	the	DET
fcis-31302	137	7	epicenter	epicenter	NOUN
fcis-31302	137	8	positioning	positioning	NOUN
fcis-31302	137	9	accuracy	accuracy	NOUN
fcis-31302	137	10	by	by	ADP
fcis-31302	137	11	fusing	fuse	VERB
fcis-31302	137	12	seismograph	seismograph	NOUN
fcis-31302	137	13	and	and	CCONJ
fcis-31302	137	14	gps	gps	PROPN
fcis-31302	137	15	data	datum	NOUN
fcis-31302	137	16	through	through	ADP
fcis-31302	137	17	kalman	kalman	NOUN
fcis-31302	137	18	filtering	filtering	PROPN
fcis-31302	138	1	[	[	X
fcis-31302	138	2	12	12	NUM
fcis-31302	138	3	]	]	PUNCT
fcis-31302	138	4	.	.	PUNCT
fcis-31302	139	1	(	(	PUNCT
fcis-31302	139	2	3	3	X
fcis-31302	139	3	)	)	PUNCT
fcis-31302	139	4	ds	ds	ADJ
fcis-31302	139	5	evidence	evidence	NOUN
fcis-31302	139	6	theory	theory	NOUN
fcis-31302	139	7	:	:	PUNCT
fcis-31302	139	8	integrates	integrate	VERB
fcis-31302	139	9	multimodal	multimodal	ADJ
fcis-31302	139	10	decision	decision	NOUN
fcis-31302	139	11	making	make	VERB
fcis-31302	139	12	through	through	ADP
fcis-31302	139	13	probability	probability	NOUN
fcis-31302	139	14	distribution	distribution	NOUN
fcis-31302	139	15	,	,	PUNCT
fcis-31302	139	16	and	and	CCONJ
fcis-31302	139	17	is	be	AUX
fcis-31302	139	18	suitable	suitable	ADJ
fcis-31302	139	19	for	for	ADP
fcis-31302	139	20	scenarios	scenario	NOUN
fcis-31302	139	21	with	with	ADP
fcis-31302	139	22	high	high	ADJ
fcis-31302	139	23	uncertainty	uncertainty	NOUN
fcis-31302	139	24	[	[	X
fcis-31302	139	25	11	11	NUM
fcis-31302	139	26	]	]	PUNCT
fcis-31302	139	27	.	.	PUNCT
fcis-31302	140	1	deep	deep	ADJ
fcis-31302	140	2	learning	learn	VERB
fcis-31302	140	3	fusion	fusion	NOUN
fcis-31302	140	4	methods	method	NOUN
fcis-31302	140	5	mainly	mainly	ADV
fcis-31302	140	6	include	include	VERB
fcis-31302	140	7	:	:	PUNCT
fcis-31302	140	8	(	(	PUNCT
fcis-31302	140	9	1	1	X
fcis-31302	140	10	)	)	PUNCT
fcis-31302	140	11	multimodal	multimodal	ADJ
fcis-31302	140	12	deep	deep	ADJ
fcis-31302	140	13	neural	neural	ADJ
fcis-31302	140	14	network	network	NOUN
fcis-31302	140	15	:	:	PUNCT
fcis-31302	140	16	by	by	ADP
fcis-31302	140	17	constructing	construct	VERB
fcis-31302	140	18	a	a	DET
fcis-31302	140	19	multi	multi	ADJ
fcis-31302	140	20	branch	branch	NOUN
fcis-31302	140	21	network	network	NOUN
fcis-31302	140	22	,	,	PUNCT
fcis-31302	140	23	different	different	ADJ
fcis-31302	140	24	modal	modal	ADJ
fcis-31302	140	25	data	datum	NOUN
fcis-31302	140	26	are	be	AUX
fcis-31302	140	27	processed	process	VERB
fcis-31302	140	28	respectively	respectively	ADV
fcis-31302	140	29	,	,	PUNCT
fcis-31302	140	30	and	and	CCONJ
fcis-31302	140	31	then	then	ADV
fcis-31302	140	32	fused	fuse	VERB
fcis-31302	140	33	through	through	ADP
fcis-31302	140	34	the	the	DET
fcis-31302	140	35	full	full	ADJ
fcis-31302	140	36	connection	connection	NOUN
fcis-31302	140	37	layer	layer	NOUN
fcis-31302	140	38	or	or	CCONJ
fcis-31302	140	39	attention	attention	NOUN
fcis-31302	140	40	mechanism	mechanism	NOUN
fcis-31302	140	41	.	.	PUNCT
fcis-31302	141	1	qin	qin	PROPN
fcis-31302	141	2	proposed	propose	VERB
fcis-31302	141	3	a	a	DET
fcis-31302	141	4	multi	multi	ADJ
fcis-31302	141	5	branch	branch	NOUN
fcis-31302	141	6	depth	depth	NOUN
fcis-31302	141	7	network	network	NOUN
fcis-31302	141	8	,	,	PUNCT
fcis-31302	141	9	which	which	PRON
fcis-31302	141	10	integrates	integrate	VERB
fcis-31302	141	11	satellite	satellite	NOUN
fcis-31302	141	12	images	image	NOUN
fcis-31302	141	13	and	and	CCONJ
fcis-31302	141	14	meteorological	meteorological	ADJ
fcis-31302	141	15	data	datum	NOUN
fcis-31302	141	16	for	for	ADP
fcis-31302	141	17	typhoon	typhoon	NOUN
fcis-31302	141	18	prediction	prediction	NOUN
fcis-31302	141	19	[	[	X
fcis-31302	141	20	8	8	NUM
fcis-31302	141	21	]	]	PUNCT
fcis-31302	141	22	.	.	PUNCT
fcis-31302	142	1	(	(	PUNCT
fcis-31302	142	2	2	2	NUM
fcis-31302	142	3	)	)	PUNCT
fcis-31302	142	4	transformer	transformer	NOUN
fcis-31302	142	5	model	model	NOUN
fcis-31302	142	6	:	:	PUNCT
fcis-31302	142	7	a	a	DET
fcis-31302	142	8	multimodal	multimodal	ADJ
fcis-31302	142	9	fusion	fusion	NOUN
fcis-31302	142	10	method	method	NOUN
fcis-31302	142	11	based	base	VERB
fcis-31302	142	12	on	on	ADP
fcis-31302	142	13	attention	attention	NOUN
fcis-31302	142	14	mechanism	mechanism	NOUN
fcis-31302	142	15	,	,	PUNCT
fcis-31302	142	16	which	which	PRON
fcis-31302	142	17	can	can	AUX
fcis-31302	142	18	dynamically	dynamically	ADV
fcis-31302	142	19	capture	capture	VERB
fcis-31302	142	20	the	the	DET
fcis-31302	142	21	relationship	relationship	NOUN
fcis-31302	142	22	between	between	ADP
fcis-31302	142	23	modes	mode	NOUN
fcis-31302	142	24	.	.	PUNCT
fcis-31302	143	1	the	the	DET
fcis-31302	143	2	transformer	transformer	ADJ
fcis-31302	143	3	architecture	architecture	NOUN
fcis-31302	143	4	proposed	propose	VERB
fcis-31302	143	5	by	by	ADP
fcis-31302	143	6	vaswani	vaswani	NOUN
fcis-31302	143	7	has	have	AUX
fcis-31302	143	8	been	be	AUX
fcis-31302	143	9	widely	widely	ADV
fcis-31302	143	10	used	use	VERB
fcis-31302	143	11	in	in	ADP
fcis-31302	143	12	multimodal	multimodal	ADJ
fcis-31302	143	13	fusion	fusion	NOUN
fcis-31302	143	14	[	[	X
fcis-31302	143	15	4	4	NUM
fcis-31302	143	16	]	]	PUNCT
fcis-31302	143	17	.	.	PUNCT
fcis-31302	144	1	(	(	PUNCT
fcis-31302	144	2	3	3	X
fcis-31302	144	3	)	)	PUNCT
fcis-31302	144	4	generative	generative	ADJ
fcis-31302	144	5	adversarial	adversarial	ADJ
fcis-31302	144	6	networks	network	NOUN
fcis-31302	144	7	(	(	PUNCT
fcis-31302	144	8	gan	gan	PROPN
fcis-31302	144	9	):	):	PUNCT
fcis-31302	144	10	used	use	VERB
fcis-31302	144	11	to	to	PART
fcis-31302	144	12	deal	deal	VERB
fcis-31302	144	13	with	with	ADP
fcis-31302	144	14	missing	miss	VERB
fcis-31302	144	15	modes	mode	NOUN
fcis-31302	144	16	or	or	CCONJ
fcis-31302	144	17	data	datum	NOUN
fcis-31302	144	18	enhancement	enhancement	NOUN
fcis-31302	144	19	.	.	PUNCT
fcis-31302	145	1	liu	liu	PROPN
fcis-31302	145	2	used	use	VERB
fcis-31302	145	3	gan	gan	PROPN
fcis-31302	145	4	to	to	PART
fcis-31302	145	5	generate	generate	VERB
fcis-31302	145	6	missing	miss	VERB
fcis-31302	145	7	remote	remote	ADJ
fcis-31302	145	8	sensing	sense	VERB
fcis-31302	145	9	image	image	NOUN
fcis-31302	145	10	data	datum	NOUN
fcis-31302	145	11	,	,	PUNCT
fcis-31302	145	12	which	which	PRON
fcis-31302	145	13	enhanced	enhance	VERB
fcis-31302	145	14	the	the	DET
fcis-31302	145	15	robustness	robustness	NOUN
fcis-31302	145	16	of	of	ADP
fcis-31302	145	17	flood	flood	NOUN
fcis-31302	145	18	monitoring	monitoring	NOUN
fcis-31302	145	19	model	model	NOUN
fcis-31302	145	20	[	[	X
fcis-31302	145	21	16	16	NUM
fcis-31302	145	22	]	]	PUNCT
fcis-31302	145	23	.	.	PUNCT
fcis-31302	146	1	(	(	PUNCT
fcis-31302	146	2	4	4	X
fcis-31302	146	3	)	)	PUNCT
fcis-31302	146	4	graph	graph	NOUN
fcis-31302	146	5	neural	neural	ADJ
fcis-31302	146	6	network	network	NOUN
fcis-31302	146	7	(	(	PUNCT
fcis-31302	146	8	gnn	gnn	PROPN
fcis-31302	146	9	):	):	PUNCT
fcis-31302	146	10	capture	capture	PROPN
fcis-31302	146	11	cross	cross	VERB
fcis-31302	146	12	modal	modal	NOUN
fcis-31302	146	13	dependencies	dependency	NOUN
fcis-31302	146	14	by	by	ADP
fcis-31302	146	15	building	build	VERB
fcis-31302	146	16	modal	modal	ADJ
fcis-31302	146	17	diagrams	diagram	NOUN
fcis-31302	146	18	.	.	PUNCT
fcis-31302	147	1	wu	wu	PROPN
fcis-31302	147	2	proposed	propose	VERB
fcis-31302	147	3	a	a	DET
fcis-31302	147	4	multimodal	multimodal	ADJ
fcis-31302	147	5	fusion	fusion	NOUN
fcis-31302	147	6	framework	framework	NOUN
fcis-31302	147	7	based	base	VERB
fcis-31302	147	8	on	on	ADP
fcis-31302	147	9	gnn	gnn	PROPN
fcis-31302	147	10	to	to	PART
fcis-31302	147	11	integrate	integrate	VERB
fcis-31302	147	12	sensor	sensor	NOUN
fcis-31302	147	13	networks	network	NOUN
fcis-31302	147	14	and	and	CCONJ
fcis-31302	147	15	social	social	ADJ
fcis-31302	147	16	media	medium	NOUN
fcis-31302	147	17	data	datum	NOUN
fcis-31302	147	18	and	and	CCONJ
fcis-31302	147	19	improve	improve	VERB
fcis-31302	147	20	the	the	DET
fcis-31302	147	21	accuracy	accuracy	NOUN
fcis-31302	147	22	of	of	ADP
fcis-31302	147	23	disaster	disaster	NOUN
fcis-31302	147	24	assessment	assessment	NOUN
fcis-31302	147	25	[	[	X
fcis-31302	147	26	13	13	NUM
fcis-31302	147	27	]	]	PUNCT
fcis-31302	147	28	.	.	PUNCT
fcis-31302	148	1	the	the	DET
fcis-31302	148	2	challenges	challenge	NOUN
fcis-31302	148	3	and	and	CCONJ
fcis-31302	148	4	solutions	solution	NOUN
fcis-31302	148	5	of	of	ADP
fcis-31302	148	6	heterogeneous	heterogeneous	ADJ
fcis-31302	148	7	data	datum	NOUN
fcis-31302	148	8	fusion	fusion	NOUN
fcis-31302	148	9	mainly	mainly	ADV
fcis-31302	148	10	include	include	VERB
fcis-31302	148	11	:	:	PUNCT
fcis-31302	148	12	(	(	PUNCT
fcis-31302	148	13	1	1	X
fcis-31302	148	14	)	)	PUNCT
fcis-31302	148	15	cross	cross	NOUN
fcis-31302	148	16	modal	modal	ADJ
fcis-31302	148	17	alignment	alignment	NOUN
fcis-31302	148	18	:	:	PUNCT
fcis-31302	148	19	the	the	DET
fcis-31302	148	20	semantics	semantic	NOUN
fcis-31302	148	21	and	and	CCONJ
fcis-31302	148	22	time	time	NOUN
fcis-31302	148	23	scales	scale	NOUN
fcis-31302	148	24	of	of	ADP
fcis-31302	148	25	different	different	ADJ
fcis-31302	148	26	modal	modal	ADJ
fcis-31302	148	27	data	datum	NOUN
fcis-31302	148	28	differ	differ	VERB
fcis-31302	148	29	greatly	greatly	ADV
fcis-31302	148	30	,	,	PUNCT
fcis-31302	148	31	which	which	PRON
fcis-31302	148	32	should	should	AUX
fcis-31302	148	33	be	be	AUX
fcis-31302	148	34	solved	solve	VERB
fcis-31302	148	35	by	by	ADP
fcis-31302	148	36	cross	cross	NOUN
fcis-31302	148	37	modal	modal	ADJ
fcis-31302	148	38	attention	attention	NOUN
fcis-31302	148	39	mechanism	mechanism	NOUN
fcis-31302	148	40	or	or	CCONJ
fcis-31302	148	41	embedded	embed	VERB
fcis-31302	148	42	spatial	spatial	ADJ
fcis-31302	148	43	alignment	alignment	NOUN
fcis-31302	148	44	[	[	X
fcis-31302	148	45	17	17	NUM
fcis-31302	148	46	]	]	PUNCT
fcis-31302	148	47	.	.	PUNCT
fcis-31302	149	1	(	(	PUNCT
fcis-31302	149	2	2	2	X
fcis-31302	149	3	)	)	PUNCT
fcis-31302	149	4	modal	modal	NOUN
fcis-31302	149	5	missing	missing	ADJ
fcis-31302	149	6	:	:	PUNCT
fcis-31302	149	7	some	some	DET
fcis-31302	149	8	modal	modal	ADJ
fcis-31302	149	9	data	datum	NOUN
fcis-31302	149	10	may	may	AUX
fcis-31302	149	11	be	be	AUX
fcis-31302	149	12	missing	miss	VERB
fcis-31302	149	13	due	due	ADJ
fcis-31302	149	14	to	to	ADP
fcis-31302	149	15	equipment	equipment	NOUN
fcis-31302	149	16	failure	failure	NOUN
fcis-31302	149	17	or	or	CCONJ
fcis-31302	149	18	environmental	environmental	ADJ
fcis-31302	149	19	constraints	constraint	NOUN
fcis-31302	149	20	,	,	PUNCT
fcis-31302	149	21	which	which	PRON
fcis-31302	149	22	can	can	AUX
fcis-31302	149	23	be	be	AUX
fcis-31302	149	24	filled	fill	VERB
fcis-31302	149	25	by	by	ADP
fcis-31302	149	26	generation	generation	NOUN
fcis-31302	149	27	model	model	NOUN
fcis-31302	149	28	or	or	CCONJ
fcis-31302	149	29	incremental	incremental	ADJ
fcis-31302	149	30	learning	learning	NOUN
fcis-31302	149	31	method	method	NOUN
fcis-31302	149	32	[	[	X
fcis-31302	149	33	16	16	NUM
fcis-31302	149	34	]	]	PUNCT
fcis-31302	149	35	.	.	PUNCT
fcis-31302	150	1	(	(	PUNCT
fcis-31302	150	2	3	3	X
fcis-31302	150	3	)	)	PUNCT
fcis-31302	150	4	computational	computational	ADJ
fcis-31302	150	5	efficiency	efficiency	NOUN
fcis-31302	150	6	:	:	PUNCT
fcis-31302	150	7	the	the	DET
fcis-31302	150	8	complexity	complexity	NOUN
fcis-31302	150	9	of	of	ADP
fcis-31302	150	10	the	the	DET
fcis-31302	150	11	deep	deep	ADJ
fcis-31302	150	12	learning	learning	NOUN
fcis-31302	150	13	model	model	NOUN
fcis-31302	150	14	may	may	AUX
fcis-31302	150	15	lead	lead	VERB
fcis-31302	150	16	to	to	ADP
fcis-31302	150	17	insufficient	insufficient	ADJ
fcis-31302	150	18	real	real	ADJ
fcis-31302	150	19	-	-	PUNCT
fcis-31302	150	20	time	time	NOUN
fcis-31302	150	21	performance	performance	NOUN
fcis-31302	150	22	.	.	PUNCT
fcis-31302	151	1	model	model	NOUN
fcis-31302	151	2	compression	compression	PROPN
fcis-31302	151	3	,	,	PUNCT
fcis-31302	151	4	such	such	ADJ
fcis-31302	151	5	as	as	ADP
fcis-31302	151	6	quantization	quantization	NOUN
fcis-31302	151	7	and	and	CCONJ
fcis-31302	151	8	pruning	prune	VERB
fcis-31302	151	9	,	,	PUNCT
fcis-31302	151	10	and	and	CCONJ
fcis-31302	151	11	distributed	distribute	VERB
fcis-31302	151	12	computing	computing	NOUN
fcis-31302	151	13	are	be	AUX
fcis-31302	151	14	the	the	DET
fcis-31302	151	15	main	main	ADJ
fcis-31302	151	16	solutions	solution	NOUN
fcis-31302	151	17	[	[	X
fcis-31302	151	18	14	14	NUM
fcis-31302	151	19	]	]	SYM
fcis-31302	151	20	.	.	PUNCT
fcis-31302	152	1	3.4	3.4	NUM
fcis-31302	152	2	.	.	PUNCT
fcis-31302	152	3	real	real	ADJ
fcis-31302	152	4	time	time	NOUN
fcis-31302	152	5	optimization	optimization	NOUN
fcis-31302	152	6	technology	technology	NOUN
fcis-31302	152	7	natural	natural	ADJ
fcis-31302	152	8	disaster	disaster	NOUN
fcis-31302	152	9	monitoring	monitoring	NOUN
fcis-31302	152	10	and	and	CCONJ
fcis-31302	152	11	early	early	ADJ
fcis-31302	152	12	warning	warning	NOUN
fcis-31302	152	13	require	require	VERB
fcis-31302	152	14	high	high	ADJ
fcis-31302	152	15	real	real	ADJ
fcis-31302	152	16	-	-	PUNCT
fcis-31302	152	17	time	time	NOUN
fcis-31302	152	18	performance	performance	NOUN
fcis-31302	152	19	,	,	PUNCT
fcis-31302	152	20	and	and	CCONJ
fcis-31302	152	21	multimodal	multimodal	NOUN
fcis-31302	152	22	information	information	NOUN
fcis-31302	152	23	fusion	fusion	NOUN
fcis-31302	152	24	needs	need	VERB
fcis-31302	152	25	to	to	PART
fcis-31302	152	26	achieve	achieve	VERB
fcis-31302	152	27	a	a	DET
fcis-31302	152	28	balance	balance	NOUN
fcis-31302	152	29	between	between	ADP
fcis-31302	152	30	low	low	ADJ
fcis-31302	152	31	delay	delay	NOUN
fcis-31302	152	32	and	and	CCONJ
fcis-31302	152	33	high	high	ADJ
fcis-31302	152	34	accuracy	accuracy	NOUN
fcis-31302	152	35	.	.	PUNCT
fcis-31302	153	1	the	the	DET
fcis-31302	153	2	following	follow	VERB
fcis-31302	153	3	are	be	AUX
fcis-31302	153	4	the	the	DET
fcis-31302	153	5	main	main	ADJ
fcis-31302	153	6	real	real	ADJ
fcis-31302	153	7	-	-	PUNCT
fcis-31302	153	8	time	time	NOUN
fcis-31302	153	9	optimization	optimization	NOUN
fcis-31302	153	10	technologies	technology	NOUN
fcis-31302	153	11	:	:	PUNCT
fcis-31302	153	12	3.4.1	3.4.1	X
fcis-31302	153	13	.	.	PUNCT
fcis-31302	153	14	edge	edge	NOUN
fcis-31302	153	15	computing	computing	NOUN
fcis-31302	153	16	and	and	CCONJ
fcis-31302	153	17	cloud	cloud	NOUN
fcis-31302	153	18	computing	computing	NOUN
fcis-31302	153	19	(	(	PUNCT
fcis-31302	153	20	1	1	NUM
fcis-31302	153	21	)	)	PUNCT
fcis-31302	153	22	edge	edge	NOUN
fcis-31302	153	23	computing	computing	NOUN
fcis-31302	153	24	:	:	PUNCT
fcis-31302	153	25	deploy	deploy	VERB
fcis-31302	153	26	data	data	NOUN
fcis-31302	153	27	processing	processing	NOUN
fcis-31302	153	28	on	on	ADP
fcis-31302	153	29	edge	edge	NOUN
fcis-31302	153	30	devices	device	NOUN
fcis-31302	153	31	close	close	ADJ
fcis-31302	153	32	to	to	ADP
fcis-31302	153	33	the	the	DET
fcis-31302	153	34	data	data	NOUN
fcis-31302	153	35	source	source	NOUN
fcis-31302	153	36	to	to	PART
fcis-31302	153	37	reduce	reduce	VERB
fcis-31302	153	38	transmission	transmission	NOUN
fcis-31302	153	39	delay	delay	NOUN
fcis-31302	153	40	.	.	PUNCT
fcis-31302	154	1	leyva	leyva	PROPN
fcis-31302	154	2	proposed	propose	VERB
fcis-31302	154	3	a	a	DET
fcis-31302	154	4	multimodal	multimodal	ADJ
fcis-31302	154	5	flood	flood	NOUN
fcis-31302	154	6	monitoring	monitoring	NOUN
fcis-31302	154	7	system	system	NOUN
fcis-31302	154	8	based	base	VERB
fcis-31302	154	9	on	on	ADP
fcis-31302	154	10	edge	edge	NOUN
fcis-31302	154	11	calculation	calculation	NOUN
fcis-31302	154	12	,	,	PUNCT
fcis-31302	154	13	which	which	PRON
fcis-31302	154	14	realized	realize	VERB
fcis-31302	154	15	real	real	ADJ
fcis-31302	154	16	-	-	PUNCT
fcis-31302	154	17	time	time	NOUN
fcis-31302	154	18	data	datum	NOUN
fcis-31302	154	19	processing	processing	NOUN
fcis-31302	154	20	by	by	ADP
fcis-31302	154	21	running	run	VERB
fcis-31302	154	22	a	a	DET
fcis-31302	154	23	lightweight	lightweight	ADJ
fcis-31302	154	24	model	model	NOUN
fcis-31302	154	25	on	on	ADP
fcis-31302	154	26	the	the	DET
fcis-31302	154	27	sensor	sensor	NOUN
fcis-31302	154	28	node	node	NOUN
fcis-31302	154	29	[	[	X
fcis-31302	154	30	14	14	NUM
fcis-31302	154	31	]	]	PUNCT
fcis-31302	154	32	.	.	PUNCT
fcis-31302	155	1	(	(	PUNCT
fcis-31302	155	2	2	2	X
fcis-31302	155	3	)	)	PUNCT
fcis-31302	155	4	cloud	cloud	NOUN
fcis-31302	155	5	computing	computing	NOUN
fcis-31302	155	6	:	:	PUNCT
fcis-31302	155	7	use	use	VERB
fcis-31302	155	8	high	high	ADJ
fcis-31302	155	9	-	-	PUNCT
fcis-31302	155	10	performance	performance	NOUN
fcis-31302	155	11	computing	compute	VERB
fcis-31302	155	12	resources	resource	NOUN
fcis-31302	155	13	in	in	ADP
fcis-31302	155	14	the	the	DET
fcis-31302	155	15	cloud	cloud	NOUN
fcis-31302	155	16	to	to	PART
fcis-31302	155	17	process	process	VERB
fcis-31302	155	18	large	large	ADJ
fcis-31302	155	19	-	-	PUNCT
fcis-31302	155	20	scale	scale	NOUN
fcis-31302	155	21	multimodal	multimodal	NOUN
fcis-31302	155	22	data	datum	NOUN
fcis-31302	155	23	,	,	PUNCT
fcis-31302	155	24	which	which	PRON
fcis-31302	155	25	is	be	AUX
fcis-31302	155	26	suitable	suitable	ADJ
fcis-31302	155	27	for	for	ADP
fcis-31302	155	28	complex	complex	ADJ
fcis-31302	155	29	model	model	NOUN
fcis-31302	155	30	training	training	NOUN
fcis-31302	155	31	and	and	CCONJ
fcis-31302	155	32	reasoning	reasoning	NOUN
fcis-31302	155	33	.	.	PUNCT
fcis-31302	156	1	cloud	cloud	ADJ
fcis-31302	156	2	side	side	NOUN
fcis-31302	156	3	collaborative	collaborative	ADJ
fcis-31302	156	4	architecture	architecture	NOUN
fcis-31302	156	5	is	be	AUX
fcis-31302	156	6	gradually	gradually	ADV
fcis-31302	156	7	popularized	popularize	VERB
fcis-31302	156	8	in	in	ADP
fcis-31302	156	9	disaster	disaster	NOUN
fcis-31302	156	10	monitoring	monitoring	NOUN
fcis-31302	156	11	[	[	X
fcis-31302	156	12	11	11	NUM
fcis-31302	156	13	]	]	PUNCT
fcis-31302	156	14	.	.	PUNCT
fcis-31302	157	1	3.4.2	3.4.2	X
fcis-31302	157	2	.	.	PUNCT
fcis-31302	157	3	model	model	NOUN
fcis-31302	157	4	compression	compression	NOUN
fcis-31302	157	5	and	and	CCONJ
fcis-31302	157	6	acceleration	acceleration	NOUN
fcis-31302	157	7	(	(	PUNCT
fcis-31302	157	8	1	1	X
fcis-31302	157	9	)	)	PUNCT
fcis-31302	157	10	model	model	NOUN
fcis-31302	157	11	quantization	quantization	NOUN
fcis-31302	157	12	:	:	PUNCT
fcis-31302	157	13	reduce	reduce	VERB
fcis-31302	157	14	the	the	DET
fcis-31302	157	15	amount	amount	NOUN
fcis-31302	157	16	of	of	ADP
fcis-31302	157	17	calculation	calculation	NOUN
fcis-31302	157	18	by	by	ADP
fcis-31302	157	19	reducing	reduce	VERB
fcis-31302	157	20	the	the	DET
fcis-31302	157	21	precision	precision	NOUN
fcis-31302	157	22	of	of	ADP
fcis-31302	157	23	model	model	NOUN
fcis-31302	157	24	parameters	parameter	NOUN
fcis-31302	157	25	,	,	PUNCT
fcis-31302	157	26	such	such	ADJ
fcis-31302	157	27	as	as	ADP
fcis-31302	157	28	from	from	ADP
fcis-31302	157	29	32	32	NUM
fcis-31302	157	30	-	-	PUNCT
fcis-31302	157	31	bit	bit	NOUN
fcis-31302	157	32	floating	float	VERB
fcis-31302	157	33	-	-	PUNCT
fcis-31302	157	34	point	point	NOUN
fcis-31302	157	35	to	to	ADP
fcis-31302	157	36	8	8	NUM
fcis-31302	157	37	-	-	PUNCT
fcis-31302	157	38	bit	bit	NOUN
fcis-31302	157	39	integer	integer	NOUN
fcis-31302	157	40	.	.	PUNCT
fcis-31302	158	1	the	the	DET
fcis-31302	158	2	quantization	quantization	NOUN
fcis-31302	158	3	technology	technology	NOUN
fcis-31302	158	4	proposed	propose	VERB
fcis-31302	158	5	by	by	ADP
fcis-31302	158	6	han	han	PROPN
fcis-31302	158	7	significantly	significantly	ADV
fcis-31302	158	8	reduces	reduce	VERB
fcis-31302	158	9	the	the	DET
fcis-31302	158	10	reasoning	reasoning	NOUN
fcis-31302	158	11	time	time	NOUN
fcis-31302	158	12	of	of	ADP
fcis-31302	158	13	cnn	cnn	PROPN
fcis-31302	158	14	model	model	NOUN
fcis-31302	158	15	and	and	CCONJ
fcis-31302	158	16	is	be	AUX
fcis-31302	158	17	suitable	suitable	ADJ
fcis-31302	158	18	for	for	ADP
fcis-31302	158	19	real	real	ADJ
fcis-31302	158	20	-	-	PUNCT
fcis-31302	158	21	time	time	NOUN
fcis-31302	158	22	disaster	disaster	NOUN
fcis-31302	158	23	monitoring	monitoring	NOUN
fcis-31302	158	24	[	[	X
fcis-31302	158	25	18	18	NUM
fcis-31302	158	26	]	]	PUNCT
fcis-31302	158	27	.	.	PUNCT
fcis-31302	159	1	(	(	PUNCT
fcis-31302	159	2	2	2	X
fcis-31302	159	3	)	)	PUNCT
fcis-31302	159	4	model	model	NOUN
fcis-31302	159	5	pruning	pruning	NOUN
fcis-31302	159	6	:	:	PUNCT
fcis-31302	159	7	remove	remove	VERB
fcis-31302	159	8	redundant	redundant	ADJ
fcis-31302	159	9	neurons	neuron	NOUN
fcis-31302	159	10	or	or	CCONJ
fcis-31302	159	11	layers	layer	NOUN
fcis-31302	159	12	to	to	PART
fcis-31302	159	13	reduce	reduce	VERB
fcis-31302	159	14	model	model	NOUN
fcis-31302	159	15	complexity	complexity	NOUN
fcis-31302	159	16	.	.	PUNCT
fcis-31302	160	1	sghaier	sghaier	ADV
fcis-31302	160	2	applies	apply	VERB
fcis-31302	160	3	pruning	prune	VERB
fcis-31302	160	4	technology	technology	NOUN
fcis-31302	160	5	to	to	ADP
fcis-31302	160	6	the	the	DET
fcis-31302	160	7	multimodal	multimodal	NOUN
fcis-31302	160	8	fusion	fusion	NOUN
fcis-31302	160	9	model	model	NOUN
fcis-31302	160	10	to	to	PART
fcis-31302	160	11	achieve	achieve	VERB
fcis-31302	160	12	efficient	efficient	ADJ
fcis-31302	160	13	deployment	deployment	NOUN
fcis-31302	160	14	on	on	ADP
fcis-31302	160	15	edge	edge	NOUN
fcis-31302	160	16	devices	device	NOUN
fcis-31302	160	17	[	[	X
fcis-31302	160	18	2	2	NUM
fcis-31302	160	19	]	]	PUNCT
fcis-31302	160	20	.	.	PUNCT
fcis-31302	161	1	(	(	PUNCT
fcis-31302	161	2	3	3	X
fcis-31302	161	3	)	)	PUNCT
fcis-31302	161	4	knowledge	knowledge	NOUN
fcis-31302	161	5	distillation	distillation	NOUN
fcis-31302	161	6	:	:	PUNCT
fcis-31302	161	7	by	by	ADP
fcis-31302	161	8	transferring	transfer	VERB
fcis-31302	161	9	the	the	DET
fcis-31302	161	10	knowledge	knowledge	NOUN
fcis-31302	161	11	of	of	ADP
fcis-31302	161	12	large	large	ADJ
fcis-31302	161	13	-	-	PUNCT
fcis-31302	161	14	scale	scale	NOUN
fcis-31302	161	15	models	model	NOUN
fcis-31302	161	16	to	to	ADP
fcis-31302	161	17	small	small	ADJ
fcis-31302	161	18	-	-	PUNCT
fcis-31302	161	19	scale	scale	NOUN
fcis-31302	161	20	models	model	NOUN
fcis-31302	161	21	,	,	PUNCT
fcis-31302	161	22	we	we	PRON
fcis-31302	161	23	can	can	AUX
fcis-31302	161	24	maintain	maintain	VERB
fcis-31302	161	25	performance	performance	NOUN
fcis-31302	161	26	while	while	SCONJ
fcis-31302	161	27	reducing	reduce	VERB
fcis-31302	161	28	computational	computational	ADJ
fcis-31302	161	29	requirements	requirement	NOUN
fcis-31302	161	30	[	[	X
fcis-31302	161	31	19	19	NUM
fcis-31302	161	32	]	]	PUNCT
fcis-31302	161	33	.	.	PUNCT
fcis-31302	162	1	3.4.3	3.4.3	X
fcis-31302	162	2	.	.	PUNCT
fcis-31302	162	3	incremental	incremental	ADJ
fcis-31302	162	4	learning	learning	NOUN
fcis-31302	162	5	and	and	CCONJ
fcis-31302	162	6	online	online	ADJ
fcis-31302	162	7	updates	update	NOUN
fcis-31302	162	8	the	the	DET
fcis-31302	162	9	dynamic	dynamic	ADJ
fcis-31302	162	10	change	change	NOUN
fcis-31302	162	11	of	of	ADP
fcis-31302	162	12	disaster	disaster	NOUN
fcis-31302	162	13	scenario	scenario	NOUN
fcis-31302	162	14	requires	require	VERB
fcis-31302	162	15	that	that	SCONJ
fcis-31302	162	16	the	the	DET
fcis-31302	162	17	model	model	NOUN
fcis-31302	162	18	can	can	AUX
fcis-31302	162	19	quickly	quickly	ADV
fcis-31302	162	20	adapt	adapt	VERB
fcis-31302	162	21	to	to	ADP
fcis-31302	162	22	new	new	ADJ
fcis-31302	162	23	data	datum	NOUN
fcis-31302	162	24	.	.	PUNCT
fcis-31302	163	1	the	the	DET
fcis-31302	163	2	incremental	incremental	ADJ
fcis-31302	163	3	learning	learning	NOUN
fcis-31302	163	4	method	method	NOUN
fcis-31302	163	5	adapts	adapt	VERB
fcis-31302	163	6	to	to	ADP
fcis-31302	163	7	the	the	DET
fcis-31302	163	8	emerging	emerge	VERB
fcis-31302	163	9	disaster	disaster	NOUN
fcis-31302	163	10	mode	mode	NOUN
fcis-31302	163	11	by	by	ADP
fcis-31302	163	12	updating	update	VERB
fcis-31302	163	13	the	the	DET
fcis-31302	163	14	model	model	NOUN
fcis-31302	163	15	parameters	parameter	NOUN
fcis-31302	163	16	online	online	ADV
fcis-31302	164	1	[	[	X
fcis-31302	164	2	9	9	NUM
fcis-31302	164	3	]	]	PUNCT
fcis-31302	164	4	.	.	PUNCT
fcis-31302	165	1	the	the	DET
fcis-31302	165	2	above	above	ADJ
fcis-31302	165	3	information	information	NOUN
fcis-31302	165	4	is	be	AUX
fcis-31302	165	5	shown	show	VERB
fcis-31302	165	6	in	in	ADP
fcis-31302	165	7	table	table	NOUN
fcis-31302	165	8	3	3	NUM
fcis-31302	165	9	.	.	NOUN
fcis-31302	165	10	4	4	NUM
fcis-31302	165	11	.	.	X
fcis-31302	165	12	application	application	NOUN
fcis-31302	165	13	status	status	NOUN
fcis-31302	165	14	of	of	ADP
fcis-31302	165	15	natural	natural	ADJ
fcis-31302	165	16	disaster	disaster	NOUN
fcis-31302	165	17	monitoring	monitoring	NOUN
fcis-31302	165	18	and	and	CCONJ
fcis-31302	165	19	early	early	ADJ
fcis-31302	165	20	warning	warning	NOUN
fcis-31302	165	21	in	in	ADP
fcis-31302	165	22	recent	recent	ADJ
fcis-31302	165	23	years	year	NOUN
fcis-31302	165	24	,	,	PUNCT
fcis-31302	165	25	significant	significant	ADJ
fcis-31302	165	26	progress	progress	NOUN
fcis-31302	165	27	has	have	AUX
fcis-31302	165	28	been	be	AUX
fcis-31302	165	29	made	make	VERB
fcis-31302	165	30	in	in	ADP
fcis-31302	165	31	the	the	DET
fcis-31302	165	32	application	application	NOUN
fcis-31302	165	33	of	of	ADP
fcis-31302	165	34	multimodal	multimodal	NOUN
fcis-31302	165	35	information	information	NOUN
fcis-31302	165	36	fusion	fusion	NOUN
fcis-31302	165	37	technology	technology	NOUN
fcis-31302	165	38	in	in	ADP
fcis-31302	165	39	real	real	ADJ
fcis-31302	165	40	-	-	PUNCT
fcis-31302	165	41	time	time	NOUN
fcis-31302	165	42	monitoring	monitoring	NOUN
fcis-31302	165	43	and	and	CCONJ
fcis-31302	165	44	early	early	ADJ
fcis-31302	165	45	warning	warning	NOUN
fcis-31302	165	46	of	of	ADP
fcis-31302	165	47	natural	natural	ADJ
fcis-31302	165	48	disasters	disaster	NOUN
fcis-31302	165	49	,	,	PUNCT
fcis-31302	165	50	covering	cover	VERB
fcis-31302	165	51	various	various	ADJ
fcis-31302	165	52	disaster	disaster	NOUN
fcis-31302	165	53	types	type	NOUN
fcis-31302	165	54	such	such	ADJ
fcis-31302	165	55	as	as	ADP
fcis-31302	165	56	earthquakes	earthquake	NOUN
fcis-31302	165	57	,	,	PUNCT
fcis-31302	165	58	floods	flood	NOUN
fcis-31302	165	59	,	,	PUNCT
fcis-31302	165	60	typhoons	typhoon	NOUN
fcis-31302	165	61	,	,	PUNCT
fcis-31302	165	62	and	and	CCONJ
fcis-31302	165	63	landslides	landslide	NOUN
fcis-31302	165	64	.	.	PUNCT
fcis-31302	166	1	by	by	ADP
fcis-31302	166	2	integrating	integrate	VERB
fcis-31302	166	3	multi	multi	ADJ
fcis-31302	166	4	-	-	ADJ
fcis-31302	166	5	source	source	NOUN
fcis-31302	166	6	data	datum	NOUN
fcis-31302	166	7	including	include	VERB
fcis-31302	166	8	remote	remote	ADJ
fcis-31302	166	9	sensing	sensing	NOUN
fcis-31302	166	10	images	image	NOUN
fcis-31302	166	11	,	,	PUNCT
fcis-31302	166	12	ground	ground	NOUN
fcis-31302	166	13	sensor	sensor	NOUN
fcis-31302	166	14	data	datum	NOUN
fcis-31302	166	15	,	,	PUNCT
fcis-31302	166	16	social	social	ADJ
fcis-31302	166	17	media	medium	NOUN
fcis-31302	166	18	information	information	NOUN
fcis-31302	166	19	,	,	PUNCT
fcis-31302	166	20	and	and	CCONJ
fcis-31302	166	21	uav	uav	PROPN
fcis-31302	166	22	images	image	NOUN
fcis-31302	166	23	,	,	PUNCT
fcis-31302	166	24	multimodal	multimodal	ADJ
fcis-31302	166	25	fusion	fusion	NOUN
fcis-31302	166	26	has	have	AUX
fcis-31302	166	27	significantly	significantly	ADV
fcis-31302	166	28	improved	improve	VERB
fcis-31302	166	29	the	the	DET
fcis-31302	166	30	accuracy	accuracy	NOUN
fcis-31302	166	31	,	,	PUNCT
fcis-31302	166	32	coverage	coverage	NOUN
fcis-31302	166	33	,	,	PUNCT
fcis-31302	166	34	and	and	CCONJ
fcis-31302	166	35	warning	warn	VERB
fcis-31302	166	36	timeliness	timeliness	NOUN
fcis-31302	166	37	of	of	ADP
fcis-31302	166	38	disaster	disaster	NOUN
fcis-31302	166	39	monitoring	monitoring	NOUN
fcis-31302	166	40	.	.	PUNCT
fcis-31302	167	1	this	this	DET
fcis-31302	167	2	section	section	NOUN
fcis-31302	167	3	will	will	AUX
fcis-31302	167	4	systematically	systematically	ADV
fcis-31302	167	5	analyze	analyze	VERB
fcis-31302	167	6	the	the	DET
fcis-31302	167	7	current	current	ADJ
fcis-31302	167	8	application	application	NOUN
fcis-31302	167	9	status	status	NOUN
fcis-31302	167	10	of	of	ADP
fcis-31302	167	11	multimodal	multimodal	NOUN
fcis-31302	167	12	information	information	NOUN
fcis-31302	167	13	fusion	fusion	NOUN
fcis-31302	167	14	in	in	ADP
fcis-31302	167	15	natural	natural	ADJ
fcis-31302	167	16	disaster	disaster	NOUN
fcis-31302	167	17	monitoring	monitoring	NOUN
fcis-31302	167	18	and	and	CCONJ
fcis-31302	167	19	early	early	ADJ
fcis-31302	167	20	warning	warning	NOUN
fcis-31302	167	21	from	from	ADP
fcis-31302	167	22	three	three	NUM
fcis-31302	167	23	aspects	aspect	NOUN
fcis-31302	167	24	:	:	PUNCT
fcis-31302	167	25	application	application	NOUN
fcis-31302	167	26	cases	case	NOUN
fcis-31302	167	27	of	of	ADP
fcis-31302	167	28	typical	typical	ADJ
fcis-31302	167	29	natural	natural	ADJ
fcis-31302	167	30	disasters	disaster	NOUN
fcis-31302	167	31	,	,	PUNCT
fcis-31302	167	32	technical	technical	ADJ
fcis-31302	167	33	architectures	architecture	NOUN
fcis-31302	167	34	of	of	ADP
fcis-31302	167	35	existing	exist	VERB
fcis-31302	167	36	systems	system	NOUN
fcis-31302	167	37	,	,	PUNCT
fcis-31302	167	38	and	and	CCONJ
fcis-31302	167	39	application	application	NOUN
fcis-31302	167	40	effects	effect	NOUN
fcis-31302	167	41	and	and	CCONJ
fcis-31302	167	42	limitations	limitation	NOUN
fcis-31302	167	43	.	.	PUNCT
fcis-31302	168	1	4.1	4.1	NUM
fcis-31302	168	2	.	.	PUNCT
fcis-31302	168	3	application	application	NOUN
fcis-31302	168	4	cases	case	NOUN
fcis-31302	168	5	of	of	ADP
fcis-31302	168	6	typical	typical	ADJ
fcis-31302	168	7	natural	natural	ADJ
fcis-31302	168	8	disasters	disaster	NOUN
fcis-31302	168	9	4.1.1	4.1.1	NUM
fcis-31302	168	10	.	.	PUNCT
fcis-31302	169	1	earthquake	earthquake	NOUN
fcis-31302	169	2	monitoring	monitoring	NOUN
fcis-31302	169	3	and	and	CCONJ
fcis-31302	169	4	early	early	ADJ
fcis-31302	169	5	warning	warning	NOUN
fcis-31302	169	6	earthquakes	earthquake	NOUN
fcis-31302	169	7	are	be	AUX
fcis-31302	169	8	natural	natural	ADJ
fcis-31302	169	9	disasters	disaster	NOUN
fcis-31302	169	10	with	with	ADP
fcis-31302	169	11	strong	strong	ADJ
fcis-31302	169	12	suddenness	suddenness	NOUN
fcis-31302	169	13	and	and	CCONJ
fcis-31302	169	14	destructive	destructive	ADJ
fcis-31302	169	15	power	power	NOUN
fcis-31302	169	16	,	,	PUNCT
fcis-31302	169	17	and	and	CCONJ
fcis-31302	169	18	real	real	ADJ
fcis-31302	169	19	-	-	PUNCT
fcis-31302	169	20	time	time	NOUN
fcis-31302	169	21	monitoring	monitoring	NOUN
fcis-31302	169	22	and	and	CCONJ
fcis-31302	169	23	second	second	ADJ
fcis-31302	169	24	level	level	NOUN
fcis-31302	169	25	warning	warning	NOUN
fcis-31302	169	26	are	be	AUX
fcis-31302	169	27	crucial	crucial	ADJ
fcis-31302	169	28	for	for	ADP
fcis-31302	169	29	disaster	disaster	NOUN
fcis-31302	169	30	reduction	reduction	NOUN
fcis-31302	169	31	.	.	PUNCT
fcis-31302	170	1	multimodal	multimodal	NOUN
fcis-31302	170	2	information	information	NOUN
fcis-31302	170	3	fusion	fusion	NOUN
fcis-31302	170	4	significantly	significantly	ADV
fcis-31302	170	5	improves	improve	VERB
fcis-31302	170	6	the	the	DET
fcis-31302	170	7	accuracy	accuracy	NOUN
fcis-31302	170	8	of	of	ADP
fcis-31302	170	9	epicenter	epicenter	NOUN
fcis-31302	170	10	localization	localization	NOUN
fcis-31302	170	11	and	and	CCONJ
fcis-31302	170	12	damage	damage	NOUN
fcis-31302	170	13	assessment	assessment	NOUN
fcis-31302	170	14	by	by	ADP
fcis-31302	170	15	integrating	integrate	VERB
fcis-31302	170	16	seismic	seismic	ADJ
fcis-31302	170	17	waves	wave	NOUN
fcis-31302	170	18	,	,	PUNCT
fcis-31302	170	19	gps	gps	PROPN
fcis-31302	170	20	data	datum	NOUN
fcis-31302	170	21	,	,	PUNCT
fcis-31302	170	22	and	and	CCONJ
fcis-31302	170	23	social	social	ADJ
fcis-31302	170	24	media	medium	NOUN
fcis-31302	170	25	information	information	NOUN
fcis-31302	170	26	.	.	PUNCT
fcis-31302	171	1	bock	bock	NOUN
fcis-31302	171	2	proposed	propose	VERB
fcis-31302	171	3	a	a	DET
fcis-31302	171	4	real	real	ADJ
fcis-31302	171	5	-	-	PUNCT
fcis-31302	171	6	time	time	NOUN
fcis-31302	171	7	earthquake	earthquake	NOUN
fcis-31302	171	8	warning	warning	NOUN
fcis-31302	171	9	system	system	NOUN
fcis-31302	171	10	that	that	PRON
fcis-31302	171	11	integrates	integrate	VERB
fcis-31302	171	12	seismometers	seismometer	NOUN
fcis-31302	171	13	and	and	CCONJ
fcis-31302	171	14	gps	gps	PROPN
fcis-31302	171	15	data	datum	NOUN
fcis-31302	171	16	,	,	PUNCT
fcis-31302	171	17	using	use	VERB
fcis-31302	171	18	kalman	kalman	PROPN
fcis-31302	171	19	filtering	filter	VERB
fcis-31302	171	20	to	to	PART
fcis-31302	171	21	integrate	integrate	VERB
fcis-31302	171	22	p	p	ADJ
fcis-31302	171	23	-	-	PUNCT
fcis-31302	171	24	wave	wave	NOUN
fcis-31302	171	25	signals	signal	NOUN
fcis-31302	171	26	of	of	ADP
fcis-31302	171	27	seismic	seismic	ADJ
fcis-31302	171	28	waves	wave	NOUN
fcis-31302	171	29	with	with	ADP
fcis-31302	171	30	surface	surface	NOUN
fcis-31302	171	31	deformation	deformation	NOUN
fcis-31302	171	32	data	datum	NOUN
fcis-31302	171	33	,	,	PUNCT
fcis-31302	171	34	achieving	achieve	VERB
fcis-31302	171	35	a	a	DET
fcis-31302	171	36	second	second	ADJ
fcis-31302	171	37	level	level	NOUN
fcis-31302	171	38	warning	warning	NOUN
fcis-31302	171	39	with	with	ADP
fcis-31302	171	40	an	an	DET
fcis-31302	171	41	epicenter	epicenter	NOUN
fcis-31302	171	42	positioning	positioning	NOUN
fcis-31302	171	43	error	error	NOUN
fcis-31302	171	44	of	of	ADP
fcis-31302	171	45	less	less	ADJ
fcis-31302	171	46	than	than	ADP
fcis-31302	171	47	5	5	NUM
fcis-31302	171	48	kilometers	kilometer	NOUN
fcis-31302	171	49	[	[	X
fcis-31302	171	50	15	15	NUM
fcis-31302	171	51	]	]	PUNCT
fcis-31302	171	52	.	.	PUNCT
fcis-31302	172	1	the	the	DET
fcis-31302	172	2	introduction	introduction	NOUN
fcis-31302	172	3	of	of	ADP
fcis-31302	172	4	social	social	ADJ
fcis-31302	172	5	media	medium	NOUN
fcis-31302	172	6	data	datum	NOUN
fcis-31302	172	7	further	far	ADV
fcis-31302	172	8	enhances	enhance	VERB
fcis-31302	172	9	the	the	DET
fcis-31302	172	10	system	system	NOUN
fcis-31302	172	11	's	's	PART
fcis-31302	172	12	ability	ability	NOUN
fcis-31302	172	13	to	to	PART
fcis-31302	172	14	respond	respond	VERB
fcis-31302	172	15	quickly	quickly	ADV
fcis-31302	172	16	.	.	PUNCT
fcis-31302	173	1	ahuja	ahuja	PROPN
fcis-31302	173	2	has	have	AUX
fcis-31302	173	3	developed	develop	VERB
fcis-31302	173	4	a	a	DET
fcis-31302	173	5	multimodal	multimodal	ADJ
fcis-31302	173	6	framework	framework	NOUN
fcis-31302	173	7	that	that	PRON
fcis-31302	173	8	integrates	integrate	VERB
fcis-31302	173	9	real	real	ADJ
fcis-31302	173	10	-	-	PUNCT
fcis-31302	173	11	time	time	NOUN
fcis-31302	173	12	disaster	disaster	NOUN
fcis-31302	173	13	reports	report	NOUN
fcis-31302	173	14	from	from	ADP
fcis-31302	173	15	twitter	twitter	NOUN
fcis-31302	173	16	with	with	ADP
fcis-31302	173	17	seismometer	seismometer	NOUN
fcis-31302	173	18	data	datum	NOUN
fcis-31302	173	19	to	to	PART
fcis-31302	173	20	quickly	quickly	ADV
fcis-31302	173	21	assess	assess	VERB
fcis-31302	173	22	the	the	DET
fcis-31302	173	23	extent	extent	NOUN
fcis-31302	173	24	of	of	ADP
fcis-31302	173	25	earthquake	earthquake	NOUN
fcis-31302	173	26	impact	impact	NOUN
fcis-31302	173	27	[	[	X
fcis-31302	173	28	9	9	NUM
fcis-31302	173	29	]	]	PUNCT
fcis-31302	173	30	.	.	PUNCT
fcis-31302	174	1	in	in	ADP
fcis-31302	174	2	recent	recent	ADJ
fcis-31302	174	3	years	year	NOUN
fcis-31302	174	4	,	,	PUNCT
fcis-31302	174	5	research	research	NOUN
fcis-31302	174	6	has	have	AUX
fcis-31302	174	7	also	also	ADV
fcis-31302	174	8	explored	explore	VERB
fcis-31302	174	9	the	the	DET
fcis-31302	174	10	application	application	NOUN
fcis-31302	174	11	of	of	ADP
fcis-31302	174	12	deep	deep	ADJ
fcis-31302	174	13	learning	learning	NOUN
fcis-31302	174	14	in	in	ADP
fcis-31302	174	15	earthquake	earthquake	NOUN
fcis-31302	174	16	monitoring	monitoring	NOUN
fcis-31302	174	17	.	.	PUNCT
fcis-31302	175	1	mousavi	mousavi	PROPN
fcis-31302	175	2	proposed	propose	VERB
fcis-31302	175	3	a	a	DET
fcis-31302	175	4	multimodal	multimodal	NOUN
fcis-31302	175	5	model	model	NOUN
fcis-31302	175	6	based	base	VERB
fcis-31302	175	7	on	on	ADP
fcis-31302	175	8	convolutional	convolutional	ADJ
fcis-31302	175	9	neural	neural	ADJ
fcis-31302	175	10	network	network	NOUN
fcis-31302	175	11	(	(	PUNCT
fcis-31302	175	12	cnn	cnn	PROPN
fcis-31302	175	13	)	)	PUNCT
fcis-31302	175	14	,	,	PUNCT
fcis-31302	175	15	which	which	PRON
fcis-31302	175	16	achieves	achieve	VERB
fcis-31302	175	17	automatic	automatic	ADJ
fcis-31302	175	18	detection	detection	NOUN
fcis-31302	175	19	and	and	CCONJ
fcis-31302	175	20	classification	classification	NOUN
fcis-31302	175	21	of	of	ADP
fcis-31302	175	22	seismic	seismic	ADJ
fcis-31302	175	23	signals	signal	NOUN
fcis-31302	175	24	with	with	ADP
fcis-31302	175	25	an	an	DET
fcis-31302	175	26	accuracy	accuracy	NOUN
fcis-31302	175	27	of	of	ADP
fcis-31302	175	28	over	over	ADP
fcis-31302	175	29	95	95	NUM
fcis-31302	175	30	%	%	NOUN
fcis-31302	175	31	by	by	ADP
fcis-31302	175	32	fusing	fuse	VERB
fcis-31302	175	33	6	6	NUM
fcis-31302	175	34	seismic	seismic	ADJ
fcis-31302	175	35	waveforms	waveform	NOUN
fcis-31302	175	36	and	and	CCONJ
fcis-31302	175	37	historical	historical	ADJ
fcis-31302	175	38	seismic	seismic	ADJ
fcis-31302	175	39	data	datum	NOUN
fcis-31302	175	40	[	[	X
fcis-31302	175	41	20	20	NUM
fcis-31302	175	42	]	]	PUNCT
fcis-31302	175	43	.	.	PUNCT
fcis-31302	176	1	these	these	DET
fcis-31302	176	2	cases	case	NOUN
fcis-31302	176	3	demonstrate	demonstrate	VERB
fcis-31302	176	4	that	that	SCONJ
fcis-31302	176	5	multimodal	multimodal	NOUN
fcis-31302	176	6	fusion	fusion	NOUN
fcis-31302	176	7	not	not	PART
fcis-31302	176	8	only	only	ADV
fcis-31302	176	9	improves	improve	VERB
fcis-31302	176	10	the	the	DET
fcis-31302	176	11	timeliness	timeliness	NOUN
fcis-31302	176	12	of	of	ADP
fcis-31302	176	13	earthquake	earthquake	NOUN
fcis-31302	176	14	warning	warning	NOUN
fcis-31302	176	15	,	,	PUNCT
fcis-31302	176	16	but	but	CCONJ
fcis-31302	176	17	also	also	ADV
fcis-31302	176	18	enhances	enhance	VERB
fcis-31302	176	19	the	the	DET
fcis-31302	176	20	robustness	robustness	NOUN
fcis-31302	176	21	of	of	ADP
fcis-31302	176	22	the	the	DET
fcis-31302	176	23	system	system	NOUN
fcis-31302	176	24	.	.	PUNCT
fcis-31302	177	1	table	table	NOUN
fcis-31302	177	2	3	3	NUM
fcis-31302	177	3	.	.	PUNCT
fcis-31302	177	4	comparison	comparison	NOUN
fcis-31302	177	5	of	of	ADP
fcis-31302	177	6	real	real	ADJ
fcis-31302	177	7	-	-	PUNCT
fcis-31302	177	8	time	time	NOUN
fcis-31302	177	9	optimization	optimization	NOUN
fcis-31302	177	10	technologies	technology	NOUN
fcis-31302	177	11	technology	technology	NOUN
fcis-31302	177	12	type	type	NOUN
fcis-31302	177	13	advantage	advantage	NOUN
fcis-31302	177	14	disadvantage	disadvantage	NOUN
fcis-31302	177	15	typical	typical	ADJ
fcis-31302	177	16	applications	application	NOUN
fcis-31302	177	17	edge	edge	NOUN
fcis-31302	177	18	calculation	calculation	NOUN
fcis-31302	177	19	low	low	ADJ
fcis-31302	177	20	latency	latency	NOUN
fcis-31302	177	21	,	,	PUNCT
fcis-31302	177	22	suitable	suitable	ADJ
fcis-31302	177	23	for	for	ADP
fcis-31302	177	24	local	local	ADJ
fcis-31302	177	25	processing	processing	NOUN
fcis-31302	177	26	limited	limited	ADJ
fcis-31302	177	27	computing	computing	NOUN
fcis-31302	177	28	resources	resource	NOUN
fcis-31302	177	29	real	real	ADJ
fcis-31302	177	30	time	time	NOUN
fcis-31302	177	31	flood	flood	NOUN
fcis-31302	177	32	monitoring	monitoring	NOUN
fcis-31302	177	33	[	[	X
fcis-31302	177	34	14	14	NUM
fcis-31302	177	35	]	]	X
fcis-31302	177	36	cloud	cloud	NOUN
fcis-31302	177	37	computing	compute	VERB
fcis-31302	177	38	high	high	ADJ
fcis-31302	177	39	performance	performance	NOUN
fcis-31302	177	40	,	,	PUNCT
fcis-31302	177	41	suitable	suitable	ADJ
fcis-31302	177	42	for	for	ADP
fcis-31302	177	43	complex	complex	ADJ
fcis-31302	177	44	models	model	NOUN
fcis-31302	177	45	network	network	NOUN
fcis-31302	177	46	connection	connection	NOUN
fcis-31302	177	47	dependent	dependent	ADJ
fcis-31302	177	48	,	,	PUNCT
fcis-31302	177	49	high	high	ADJ
fcis-31302	177	50	latency	latency	NOUN
fcis-31302	177	51	typhoon	typhoon	NOUN
fcis-31302	177	52	forecast	forecast	NOUN
fcis-31302	178	1	[	[	X
fcis-31302	178	2	8	8	NUM
fcis-31302	178	3	]	]	PUNCT
fcis-31302	178	4	model	model	NOUN
fcis-31302	178	5	quantification	quantification	NOUN
fcis-31302	178	6	/	/	SYM
fcis-31302	178	7	pruning	pruning	NOUN
fcis-31302	178	8	reduce	reduce	VERB
fcis-31302	178	9	the	the	DET
fcis-31302	178	10	amount	amount	NOUN
fcis-31302	178	11	of	of	ADP
fcis-31302	178	12	calculation	calculation	NOUN
fcis-31302	178	13	and	and	CCONJ
fcis-31302	178	14	adapt	adapt	VERB
fcis-31302	178	15	to	to	PART
fcis-31302	178	16	edge	edge	NOUN
fcis-31302	178	17	devices	device	NOUN
fcis-31302	178	18	possible	possible	ADJ
fcis-31302	178	19	loss	loss	NOUN
fcis-31302	178	20	of	of	ADP
fcis-31302	178	21	accuracy	accuracy	NOUN
fcis-31302	178	22	earthquake	earthquake	NOUN
fcis-31302	178	23	warning	warn	VERB
fcis-31302	178	24	[	[	X
fcis-31302	178	25	2	2	NUM
fcis-31302	178	26	]	]	X
fcis-31302	178	27	incremental	incremental	ADJ
fcis-31302	178	28	learning	learning	NOUN
fcis-31302	178	29	adapt	adapt	VERB
fcis-31302	178	30	to	to	ADP
fcis-31302	178	31	dynamic	dynamic	ADJ
fcis-31302	178	32	changes	change	NOUN
fcis-31302	178	33	and	and	CCONJ
fcis-31302	178	34	update	update	NOUN
fcis-31302	178	35	models	model	NOUN
fcis-31302	178	36	quickly	quickly	ADV
fcis-31302	178	37	need	need	VERB
fcis-31302	178	38	to	to	PART
fcis-31302	178	39	store	store	VERB
fcis-31302	178	40	additional	additional	ADJ
fcis-31302	178	41	historical	historical	ADJ
fcis-31302	178	42	data	datum	NOUN
fcis-31302	178	43	social	social	ADJ
fcis-31302	178	44	media	medium	NOUN
fcis-31302	178	45	analytics	analytic	NOUN
fcis-31302	178	46	[	[	X
fcis-31302	178	47	9	9	NUM
fcis-31302	178	48	]	]	SYM
fcis-31302	178	49	4.1.2	4.1.2	NUM
fcis-31302	178	50	.	.	PUNCT
fcis-31302	178	51	flood	flood	NOUN
fcis-31302	178	52	monitoring	monitoring	NOUN
fcis-31302	178	53	and	and	CCONJ
fcis-31302	178	54	early	early	ADJ
fcis-31302	178	55	warning	warning	NOUN
fcis-31302	178	56	flood	flood	NOUN
fcis-31302	178	57	monitoring	monitoring	NOUN
fcis-31302	178	58	requires	require	VERB
fcis-31302	178	59	the	the	DET
fcis-31302	178	60	integration	integration	NOUN
fcis-31302	178	61	of	of	ADP
fcis-31302	178	62	large	large	ADJ
fcis-31302	178	63	-	-	PUNCT
fcis-31302	178	64	scale	scale	NOUN
fcis-31302	178	65	spatial	spatial	ADJ
fcis-31302	178	66	information	information	NOUN
fcis-31302	178	67	and	and	CCONJ
fcis-31302	178	68	local	local	ADJ
fcis-31302	178	69	time	time	NOUN
fcis-31302	178	70	series	series	PROPN
fcis-31302	178	71	data	data	PROPN
fcis-31302	178	72	,	,	PUNCT
fcis-31302	178	73	and	and	CCONJ
fcis-31302	178	74	multimodal	multimodal	NOUN
fcis-31302	178	75	fusion	fusion	NOUN
fcis-31302	178	76	has	have	AUX
fcis-31302	178	77	demonstrated	demonstrate	VERB
fcis-31302	178	78	significant	significant	ADJ
fcis-31302	178	79	advantages	advantage	NOUN
fcis-31302	178	80	in	in	ADP
fcis-31302	178	81	this	this	DET
fcis-31302	178	82	field	field	NOUN
fcis-31302	178	83	.	.	PUNCT
fcis-31302	179	1	sghaier	sghaier	ADV
fcis-31302	179	2	proposed	propose	VERB
fcis-31302	179	3	a	a	DET
fcis-31302	179	4	framework	framework	NOUN
fcis-31302	179	5	for	for	ADP
fcis-31302	179	6	integrating	integrate	VERB
fcis-31302	179	7	sar	sar	NOUN
fcis-31302	179	8	images	image	NOUN
fcis-31302	179	9	with	with	ADP
fcis-31302	179	10	ground	ground	NOUN
fcis-31302	179	11	hydrological	hydrological	ADJ
fcis-31302	179	12	data	datum	NOUN
fcis-31302	179	13	,	,	PUNCT
fcis-31302	179	14	using	use	VERB
fcis-31302	179	15	cnn	cnn	PROPN
fcis-31302	179	16	to	to	PART
fcis-31302	179	17	extract	extract	VERB
fcis-31302	179	18	spatial	spatial	ADJ
fcis-31302	179	19	features	feature	NOUN
fcis-31302	179	20	of	of	ADP
fcis-31302	179	21	the	the	DET
fcis-31302	179	22	images	image	NOUN
fcis-31302	179	23	and	and	CCONJ
fcis-31302	179	24	lstm	lstm	NOUN
fcis-31302	179	25	to	to	PART
fcis-31302	179	26	process	process	VERB
fcis-31302	179	27	water	water	NOUN
fcis-31302	179	28	level	level	NOUN
fcis-31302	179	29	and	and	CCONJ
fcis-31302	179	30	rainfall	rainfall	NOUN
fcis-31302	179	31	time	time	NOUN
fcis-31302	179	32	series	series	PROPN
fcis-31302	179	33	,	,	PUNCT
fcis-31302	179	34	achieving	achieve	VERB
fcis-31302	179	35	real	real	ADJ
fcis-31302	179	36	-	-	PUNCT
fcis-31302	179	37	time	time	NOUN
fcis-31302	179	38	monitoring	monitoring	NOUN
fcis-31302	179	39	of	of	ADP
fcis-31302	179	40	flood	flood	NOUN
fcis-31302	179	41	ranges	range	NOUN
fcis-31302	179	42	.	.	PUNCT
fcis-31302	180	1	the	the	DET
fcis-31302	180	2	system	system	NOUN
fcis-31302	180	3	successfully	successfully	ADV
fcis-31302	180	4	predicted	predict	VERB
fcis-31302	180	5	the	the	DET
fcis-31302	180	6	flooded	flood	VERB
fcis-31302	180	7	area	area	NOUN
fcis-31302	180	8	during	during	ADP
fcis-31302	180	9	the	the	DET
fcis-31302	180	10	2017	2017	NUM
fcis-31302	180	11	houston	houston	PROPN
fcis-31302	180	12	flood	flood	NOUN
fcis-31302	180	13	event	event	NOUN
fcis-31302	180	14	in	in	ADP
fcis-31302	180	15	the	the	DET
fcis-31302	180	16	united	united	PROPN
fcis-31302	180	17	states	states	PROPN
fcis-31302	180	18	with	with	ADP
fcis-31302	180	19	an	an	DET
fcis-31302	180	20	accuracy	accuracy	NOUN
fcis-31302	180	21	rate	rate	NOUN
fcis-31302	180	22	of	of	ADP
fcis-31302	180	23	over	over	ADP
fcis-31302	180	24	90%[2	90%[2	NUM
fcis-31302	180	25	]	]	PUNCT
fcis-31302	180	26	.	.	PUNCT
fcis-31302	181	1	the	the	DET
fcis-31302	181	2	integration	integration	NOUN
fcis-31302	181	3	of	of	ADP
fcis-31302	181	4	social	social	ADJ
fcis-31302	181	5	media	medium	NOUN
fcis-31302	181	6	data	datum	NOUN
fcis-31302	181	7	further	far	ADV
fcis-31302	181	8	enhances	enhance	VERB
fcis-31302	181	9	the	the	DET
fcis-31302	181	10	real	real	ADJ
fcis-31302	181	11	-	-	PUNCT
fcis-31302	181	12	time	time	NOUN
fcis-31302	181	13	monitoring	monitoring	NOUN
fcis-31302	181	14	of	of	ADP
fcis-31302	181	15	floods	flood	NOUN
fcis-31302	181	16	.	.	PUNCT
fcis-31302	182	1	ahuja	ahuja	PROPN
fcis-31302	182	2	has	have	AUX
fcis-31302	182	3	developed	develop	VERB
fcis-31302	182	4	a	a	DET
fcis-31302	182	5	realtime	realtime	ADJ
fcis-31302	182	6	flood	flood	NOUN
fcis-31302	182	7	monitoring	monitoring	NOUN
fcis-31302	182	8	system	system	NOUN
fcis-31302	182	9	that	that	PRON
fcis-31302	182	10	integrates	integrate	VERB
fcis-31302	182	11	twitter	twitter	NOUN
fcis-31302	182	12	text	text	NOUN
fcis-31302	182	13	,	,	PUNCT
fcis-31302	182	14	remote	remote	ADJ
fcis-31302	182	15	sensing	sensing	NOUN
fcis-31302	182	16	images	image	NOUN
fcis-31302	182	17	,	,	PUNCT
fcis-31302	182	18	and	and	CCONJ
fcis-31302	182	19	hydrological	hydrological	ADJ
fcis-31302	182	20	data	datum	NOUN
fcis-31302	182	21	.	.	PUNCT
fcis-31302	183	1	the	the	DET
fcis-31302	183	2	bert	bert	PROPN
fcis-31302	183	3	model	model	NOUN
fcis-31302	183	4	is	be	AUX
fcis-31302	183	5	used	use	VERB
fcis-31302	183	6	to	to	PART
fcis-31302	183	7	extract	extract	VERB
fcis-31302	183	8	disaster	disaster	NOUN
fcis-31302	183	9	keywords	keyword	NOUN
fcis-31302	183	10	from	from	ADP
fcis-31302	183	11	the	the	DET
fcis-31302	183	12	text	text	NOUN
fcis-31302	183	13	,	,	PUNCT
fcis-31302	183	14	and	and	CCONJ
fcis-31302	183	15	the	the	DET
fcis-31302	183	16	spatial	spatial	ADJ
fcis-31302	183	17	features	feature	NOUN
fcis-31302	183	18	of	of	ADP
fcis-31302	183	19	the	the	DET
fcis-31302	183	20	images	image	NOUN
fcis-31302	183	21	are	be	AUX
fcis-31302	183	22	combined	combine	VERB
fcis-31302	183	23	for	for	ADP
fcis-31302	183	24	decision	decision	NOUN
fcis-31302	183	25	level	level	NOUN
fcis-31302	183	26	fusion	fusion	NOUN
fcis-31302	183	27	.	.	PUNCT
fcis-31302	184	1	the	the	DET
fcis-31302	184	2	system	system	NOUN
fcis-31302	184	3	successfully	successfully	ADV
fcis-31302	184	4	identified	identify	VERB
fcis-31302	184	5	the	the	DET
fcis-31302	184	6	affected	affect	VERB
fcis-31302	184	7	areas	area	NOUN
fcis-31302	184	8	during	during	ADP
fcis-31302	184	9	the	the	DET
fcis-31302	184	10	floods	flood	NOUN
fcis-31302	184	11	in	in	ADP
fcis-31302	184	12	assam	assam	PROPN
fcis-31302	184	13	,	,	PUNCT
fcis-31302	184	14	india	india	PROPN
fcis-31302	184	15	in	in	ADP
fcis-31302	184	16	2020	2020	NUM
fcis-31302	184	17	,	,	PUNCT
fcis-31302	184	18	reducing	reduce	VERB
fcis-31302	184	19	the	the	DET
fcis-31302	184	20	warning	warning	NOUN
fcis-31302	184	21	time	time	NOUN
fcis-31302	184	22	by	by	ADP
fcis-31302	184	23	about	about	ADV
fcis-31302	184	24	2	2	NUM
fcis-31302	184	25	hours	hour	NOUN
fcis-31302	184	26	compared	compare	VERB
fcis-31302	184	27	to	to	ADP
fcis-31302	184	28	traditional	traditional	ADJ
fcis-31302	184	29	methods	method	NOUN
fcis-31302	184	30	[	[	X
fcis-31302	184	31	9	9	NUM
fcis-31302	184	32	]	]	PUNCT
fcis-31302	184	33	.	.	PUNCT
fcis-31302	185	1	the	the	DET
fcis-31302	185	2	introduction	introduction	NOUN
fcis-31302	185	3	of	of	ADP
fcis-31302	185	4	drone	drone	NOUN
fcis-31302	185	5	data	datum	NOUN
fcis-31302	185	6	provides	provide	VERB
fcis-31302	185	7	support	support	NOUN
fcis-31302	185	8	for	for	ADP
fcis-31302	185	9	local	local	ADJ
fcis-31302	185	10	high	high	ADJ
fcis-31302	185	11	-	-	PUNCT
fcis-31302	185	12	precision	precision	NOUN
fcis-31302	185	13	monitoring	monitoring	NOUN
fcis-31302	185	14	.	.	PUNCT
fcis-31302	186	1	zhou	zhou	PROPN
fcis-31302	186	2	studied	study	VERB
fcis-31302	186	3	the	the	DET
fcis-31302	186	4	fusion	fusion	NOUN
fcis-31302	186	5	of	of	ADP
fcis-31302	186	6	drone	drone	NOUN
fcis-31302	186	7	imagery	imagery	NOUN
fcis-31302	186	8	and	and	CCONJ
fcis-31302	186	9	ground	ground	NOUN
fcis-31302	186	10	sensor	sensor	NOUN
fcis-31302	186	11	data	datum	NOUN
fcis-31302	186	12	and	and	CCONJ
fcis-31302	186	13	proposed	propose	VERB
fcis-31302	186	14	a	a	DET
fcis-31302	186	15	u	u	NOUN
fcis-31302	186	16	-	-	ADJ
fcis-31302	186	17	net	net	ADJ
fcis-31302	186	18	based	base	VERB
fcis-31302	186	19	model	model	NOUN
fcis-31302	186	20	for	for	ADP
fcis-31302	186	21	detecting	detect	VERB
fcis-31302	186	22	road	road	NOUN
fcis-31302	186	23	damage	damage	NOUN
fcis-31302	186	24	caused	cause	VERB
fcis-31302	186	25	by	by	ADP
fcis-31302	186	26	floods	flood	NOUN
fcis-31302	186	27	,	,	PUNCT
fcis-31302	186	28	significantly	significantly	ADV
fcis-31302	186	29	improving	improve	VERB
fcis-31302	186	30	the	the	DET
fcis-31302	186	31	efficiency	efficiency	NOUN
fcis-31302	186	32	of	of	ADP
fcis-31302	186	33	post	post	NOUN
fcis-31302	186	34	disaster	disaster	NOUN
fcis-31302	186	35	assessment	assessment	NOUN
fcis-31302	186	36	[	[	X
fcis-31302	186	37	6	6	NUM
fcis-31302	186	38	]	]	PUNCT
fcis-31302	186	39	.	.	PUNCT
fcis-31302	187	1	4.1.3	4.1.3	X
fcis-31302	187	2	.	.	PUNCT
fcis-31302	187	3	typhoon	typhoon	NOUN
fcis-31302	187	4	monitoring	monitoring	NOUN
fcis-31302	187	5	and	and	CCONJ
fcis-31302	187	6	path	path	NOUN
fcis-31302	187	7	prediction	prediction	NOUN
fcis-31302	187	8	typhoon	typhoon	NOUN
fcis-31302	187	9	monitoring	monitoring	NOUN
fcis-31302	187	10	requires	require	VERB
fcis-31302	187	11	accurate	accurate	ADJ
fcis-31302	187	12	prediction	prediction	NOUN
fcis-31302	187	13	of	of	ADP
fcis-31302	187	14	path	path	NOUN
fcis-31302	187	15	and	and	CCONJ
fcis-31302	187	16	intensity	intensity	NOUN
fcis-31302	187	17	,	,	PUNCT
fcis-31302	187	18	and	and	CCONJ
fcis-31302	187	19	multimodal	multimodal	NOUN
fcis-31302	187	20	fusion	fusion	NOUN
fcis-31302	187	21	significantly	significantly	ADV
fcis-31302	187	22	improves	improve	VERB
fcis-31302	187	23	prediction	prediction	NOUN
fcis-31302	187	24	accuracy	accuracy	NOUN
fcis-31302	187	25	by	by	ADP
fcis-31302	187	26	integrating	integrate	VERB
fcis-31302	187	27	meteorological	meteorological	ADJ
fcis-31302	187	28	data	datum	NOUN
fcis-31302	187	29	,	,	PUNCT
fcis-31302	187	30	satellite	satellite	NOUN
fcis-31302	187	31	imagery	imagery	NOUN
fcis-31302	187	32	,	,	PUNCT
fcis-31302	187	33	and	and	CCONJ
fcis-31302	187	34	ocean	ocean	PROPN
fcis-31302	187	35	sensor	sensor	NOUN
fcis-31302	187	36	data	datum	NOUN
fcis-31302	187	37	.	.	PUNCT
fcis-31302	188	1	zhang	zhang	PROPN
fcis-31302	188	2	proposed	propose	VERB
fcis-31302	188	3	a	a	DET
fcis-31302	188	4	typhoon	typhoon	NOUN
fcis-31302	188	5	path	path	NOUN
fcis-31302	188	6	prediction	prediction	NOUN
fcis-31302	188	7	model	model	NOUN
fcis-31302	188	8	based	base	VERB
fcis-31302	188	9	on	on	ADP
fcis-31302	188	10	multimodal	multimodal	ADJ
fcis-31302	188	11	deep	deep	ADJ
fcis-31302	188	12	learning	learning	NOUN
fcis-31302	188	13	,	,	PUNCT
fcis-31302	188	14	which	which	PRON
fcis-31302	188	15	utilizes	utilize	VERB
fcis-31302	188	16	cnn	cnn	PROPN
fcis-31302	188	17	to	to	PART
fcis-31302	188	18	process	process	VERB
fcis-31302	188	19	the	the	DET
fcis-31302	188	20	cloud	cloud	NOUN
fcis-31302	188	21	features	feature	NOUN
fcis-31302	188	22	of	of	ADP
fcis-31302	188	23	modis	modis	PROPN
fcis-31302	188	24	satellite	satellite	NOUN
fcis-31302	188	25	images	image	NOUN
fcis-31302	188	26	,	,	PUNCT
fcis-31302	188	27	combined	combine	VERB
fcis-31302	188	28	with	with	ADP
fcis-31302	188	29	lstm	lstm	NOUN
fcis-31302	188	30	to	to	PART
fcis-31302	188	31	process	process	VERB
fcis-31302	188	32	wind	wind	NOUN
fcis-31302	188	33	speed	speed	NOUN
fcis-31302	188	34	and	and	CCONJ
fcis-31302	188	35	pressure	pressure	NOUN
fcis-31302	188	36	data	datum	NOUN
fcis-31302	188	37	from	from	ADP
fcis-31302	188	38	meteorological	meteorological	ADJ
fcis-31302	188	39	stations	station	NOUN
fcis-31302	188	40	,	,	PUNCT
fcis-31302	188	41	and	and	CCONJ
fcis-31302	188	42	generates	generate	VERB
fcis-31302	188	43	a	a	DET
fcis-31302	188	44	joint	joint	ADJ
fcis-31302	188	45	representation	representation	NOUN
fcis-31302	188	46	through	through	ADP
fcis-31302	188	47	feature	feature	NOUN
fcis-31302	188	48	level	level	NOUN
fcis-31302	188	49	fusion	fusion	NOUN
fcis-31302	188	50	.	.	PUNCT
fcis-31302	189	1	this	this	DET
fcis-31302	189	2	model	model	NOUN
fcis-31302	189	3	achieved	achieve	VERB
fcis-31302	189	4	high	high	ADJ
fcis-31302	189	5	accuracy	accuracy	NOUN
fcis-31302	189	6	with	with	ADP
fcis-31302	189	7	a	a	DET
fcis-31302	189	8	path	path	NOUN
fcis-31302	189	9	error	error	NOUN
fcis-31302	189	10	of	of	ADP
fcis-31302	189	11	less	less	ADJ
fcis-31302	189	12	than	than	ADP
fcis-31302	189	13	50	50	NUM
fcis-31302	189	14	kilometers	kilometer	NOUN
fcis-31302	189	15	in	in	ADP
fcis-31302	189	16	the	the	DET
fcis-31302	189	17	prediction	prediction	NOUN
fcis-31302	189	18	of	of	ADP
fcis-31302	189	19	typhoon	typhoon	NOUN
fcis-31302	189	20	mangkhut	mangkhut	VERB
fcis-31302	189	21	in	in	ADP
fcis-31302	189	22	2018	2018	NUM
fcis-31302	189	23	[	[	X
fcis-31302	189	24	8	8	NUM
fcis-31302	189	25	]	]	PUNCT
fcis-31302	189	26	.	.	PUNCT
fcis-31302	190	1	social	social	ADJ
fcis-31302	190	2	media	medium	NOUN
fcis-31302	190	3	data	datum	NOUN
fcis-31302	190	4	also	also	ADV
fcis-31302	190	5	plays	play	VERB
fcis-31302	190	6	an	an	DET
fcis-31302	190	7	important	important	ADJ
fcis-31302	190	8	role	role	NOUN
fcis-31302	190	9	in	in	ADP
fcis-31302	190	10	typhoon	typhoon	NOUN
fcis-31302	190	11	warnings	warning	NOUN
fcis-31302	190	12	.	.	PUNCT
fcis-31302	191	1	sghaier	sghaier	ADV
fcis-31302	191	2	proposed	propose	VERB
fcis-31302	191	3	a	a	DET
fcis-31302	191	4	framework	framework	NOUN
fcis-31302	191	5	that	that	PRON
fcis-31302	191	6	integrates	integrate	VERB
fcis-31302	191	7	twitter	twitter	NOUN
fcis-31302	191	8	text	text	NOUN
fcis-31302	191	9	,	,	PUNCT
fcis-31302	191	10	satellite	satellite	NOUN
fcis-31302	191	11	imagery	imagery	NOUN
fcis-31302	191	12	,	,	PUNCT
fcis-31302	191	13	and	and	CCONJ
fcis-31302	191	14	meteorological	meteorological	ADJ
fcis-31302	191	15	data	datum	NOUN
fcis-31302	191	16	,	,	PUNCT
fcis-31302	191	17	using	use	VERB
fcis-31302	191	18	transformer	transformer	NOUN
fcis-31302	191	19	models	model	NOUN
fcis-31302	191	20	to	to	PART
fcis-31302	191	21	dynamically	dynamically	VERB
fcis-31302	191	22	weight	weight	NOUN
fcis-31302	191	23	cross	cross	NOUN
fcis-31302	191	24	modal	modal	NOUN
fcis-31302	191	25	features	feature	NOUN
fcis-31302	191	26	and	and	CCONJ
fcis-31302	191	27	predict	predict	VERB
fcis-31302	191	28	typhoon	typhoon	NOUN
fcis-31302	191	29	landing	landing	NOUN
fcis-31302	191	30	points	point	NOUN
fcis-31302	191	31	and	and	CCONJ
fcis-31302	191	32	impact	impact	NOUN
fcis-31302	191	33	ranges	range	NOUN
fcis-31302	191	34	.	.	PUNCT
fcis-31302	192	1	the	the	DET
fcis-31302	192	2	system	system	NOUN
fcis-31302	192	3	successfully	successfully	ADV
fcis-31302	192	4	alerted	alert	VERB
fcis-31302	192	5	potential	potential	ADJ
fcis-31302	192	6	risks	risk	NOUN
fcis-31302	192	7	in	in	ADP
fcis-31302	192	8	coastal	coastal	ADJ
fcis-31302	192	9	areas	area	NOUN
fcis-31302	192	10	during	during	ADP
fcis-31302	192	11	typhoon	typhoon	NOUN
fcis-31302	192	12	"	"	PUNCT
fcis-31302	192	13	fireworks	firework	NOUN
fcis-31302	192	14	"	"	PUNCT
fcis-31302	192	15	in	in	ADP
fcis-31302	192	16	2021	2021	NUM
fcis-31302	192	17	,	,	PUNCT
fcis-31302	192	18	demonstrating	demonstrate	VERB
fcis-31302	192	19	the	the	DET
fcis-31302	192	20	realtime	realtime	NOUN
fcis-31302	192	21	advantage	advantage	NOUN
fcis-31302	192	22	of	of	ADP
fcis-31302	192	23	multimodal	multimodal	ADJ
fcis-31302	192	24	fusion	fusion	NOUN
fcis-31302	192	25	[	[	X
fcis-31302	192	26	2	2	NUM
fcis-31302	192	27	]	]	PUNCT
fcis-31302	192	28	.	.	PUNCT
fcis-31302	193	1	4.1.4	4.1.4	NUM
fcis-31302	193	2	.	.	PUNCT
fcis-31302	193	3	landslide	landslide	NOUN
fcis-31302	193	4	monitoring	monitoring	NOUN
fcis-31302	193	5	and	and	CCONJ
fcis-31302	193	6	warning	warning	NOUN
fcis-31302	193	7	table	table	NOUN
fcis-31302	193	8	4	4	NUM
fcis-31302	193	9	.	.	PUNCT
fcis-31302	193	10	applications	application	NOUN
fcis-31302	193	11	of	of	ADP
fcis-31302	193	12	multimodal	multimodal	NOUN
fcis-31302	193	13	information	information	NOUN
fcis-31302	193	14	fusion	fusion	NOUN
fcis-31302	193	15	in	in	ADP
fcis-31302	193	16	natural	natural	ADJ
fcis-31302	193	17	disasters	disaster	NOUN
fcis-31302	193	18	landslide	landslide	NOUN
fcis-31302	193	19	monitoring	monitoring	NOUN
fcis-31302	193	20	requires	require	VERB
fcis-31302	193	21	high	high	ADJ
fcis-31302	193	22	-	-	PUNCT
fcis-31302	193	23	resolution	resolution	NOUN
fcis-31302	193	24	spatial	spatial	ADJ
fcis-31302	193	25	data	datum	NOUN
fcis-31302	193	26	and	and	CCONJ
fcis-31302	193	27	geological	geological	ADJ
fcis-31302	193	28	sensor	sensor	NOUN
fcis-31302	193	29	data	datum	NOUN
fcis-31302	193	30	,	,	PUNCT
fcis-31302	193	31	and	and	CCONJ
fcis-31302	193	32	multimodal	multimodal	NOUN
fcis-31302	193	33	fusion	fusion	NOUN
fcis-31302	193	34	has	have	AUX
fcis-31302	193	35	shown	show	VERB
fcis-31302	193	36	potential	potential	NOUN
fcis-31302	193	37	in	in	ADP
fcis-31302	193	38	this	this	DET
fcis-31302	193	39	field	field	NOUN
fcis-31302	193	40	.	.	PUNCT
fcis-31302	194	1	zhou	zhou	PROPN
fcis-31302	194	2	proposed	propose	VERB
fcis-31302	194	3	a	a	DET
fcis-31302	194	4	landslide	landslide	NOUN
fcis-31302	194	5	monitoring	monitoring	NOUN
fcis-31302	194	6	system	system	NOUN
fcis-31302	194	7	that	that	PRON
fcis-31302	194	8	integrates	integrate	VERB
fcis-31302	194	9	drone	drone	NOUN
fcis-31302	194	10	images	image	NOUN
fcis-31302	194	11	and	and	CCONJ
fcis-31302	194	12	geological	geological	ADJ
fcis-31302	194	13	sensor	sensor	NOUN
fcis-31302	194	14	data	datum	NOUN
fcis-31302	194	15	.	.	PUNCT
fcis-31302	195	1	it	it	PRON
fcis-31302	195	2	uses	use	VERB
fcis-31302	195	3	cnn	cnn	PROPN
fcis-31302	195	4	to	to	PART
fcis-31302	195	5	extract	extract	VERB
fcis-31302	195	6	surface	surface	NOUN
fcis-31302	195	7	deformation	deformation	NOUN
fcis-31302	195	8	features	feature	NOUN
fcis-31302	195	9	from	from	ADP
fcis-31302	195	10	images	image	NOUN
fcis-31302	195	11	and	and	CCONJ
fcis-31302	195	12	combines	combine	VERB
fcis-31302	195	13	them	they	PRON
fcis-31302	195	14	with	with	ADP
fcis-31302	195	15	sensor	sensor	NOUN
fcis-31302	195	16	time	time	NOUN
fcis-31302	195	17	series	series	PROPN
fcis-31302	195	18	data	datum	NOUN
fcis-31302	195	19	for	for	ADP
fcis-31302	195	20	7	7	NUM
fcis-31302	195	21	feature	feature	NOUN
fcis-31302	195	22	level	level	NOUN
fcis-31302	195	23	fusion	fusion	NOUN
fcis-31302	195	24	,	,	PUNCT
fcis-31302	195	25	achieving	achieve	VERB
fcis-31302	195	26	early	early	ADJ
fcis-31302	195	27	warning	warning	NOUN
fcis-31302	195	28	of	of	ADP
fcis-31302	195	29	landslide	landslide	NOUN
fcis-31302	195	30	risks	risk	NOUN
fcis-31302	195	31	.	.	PUNCT
fcis-31302	196	1	the	the	DET
fcis-31302	196	2	system	system	NOUN
fcis-31302	196	3	successfully	successfully	ADV
fcis-31302	196	4	identified	identify	VERB
fcis-31302	196	5	high	high	ADJ
fcis-31302	196	6	-	-	PUNCT
fcis-31302	196	7	risk	risk	NOUN
fcis-31302	196	8	areas	area	NOUN
fcis-31302	196	9	during	during	ADP
fcis-31302	196	10	the	the	DET
fcis-31302	196	11	2019	2019	NUM
fcis-31302	196	12	landslide	landslide	NOUN
fcis-31302	196	13	event	event	NOUN
fcis-31302	196	14	in	in	ADP
fcis-31302	196	15	kerala	kerala	PROPN
fcis-31302	196	16	,	,	PUNCT
fcis-31302	196	17	india	india	PROPN
fcis-31302	196	18	,	,	PUNCT
fcis-31302	196	19	with	with	ADP
fcis-31302	196	20	a	a	DET
fcis-31302	196	21	warning	warning	NOUN
fcis-31302	196	22	accuracy	accuracy	NOUN
fcis-31302	196	23	rate	rate	NOUN
fcis-31302	196	24	of	of	ADP
fcis-31302	196	25	85	85	NUM
fcis-31302	196	26	%	%	NOUN
fcis-31302	196	27	[	[	X
fcis-31302	196	28	6	6	NUM
fcis-31302	196	29	]	]	PUNCT
fcis-31302	196	30	.	.	PUNCT
fcis-31302	197	1	in	in	ADP
fcis-31302	197	2	addition	addition	NOUN
fcis-31302	197	3	,	,	PUNCT
fcis-31302	197	4	the	the	DET
fcis-31302	197	5	application	application	NOUN
fcis-31302	197	6	of	of	ADP
fcis-31302	197	7	graph	graph	NOUN
fcis-31302	197	8	neural	neural	ADJ
fcis-31302	197	9	networks	network	NOUN
fcis-31302	197	10	(	(	PUNCT
fcis-31302	197	11	gnns	gnns	NOUN
fcis-31302	197	12	)	)	PUNCT
fcis-31302	197	13	in	in	ADP
fcis-31302	197	14	landslide	landslide	NOUN
fcis-31302	197	15	monitoring	monitoring	NOUN
fcis-31302	197	16	is	be	AUX
fcis-31302	197	17	gradually	gradually	ADV
fcis-31302	197	18	emerging	emerge	VERB
fcis-31302	197	19	.	.	PUNCT
fcis-31302	198	1	wu	wu	PROPN
fcis-31302	198	2	proposed	propose	VERB
fcis-31302	198	3	a	a	DET
fcis-31302	198	4	multimodal	multimodal	ADJ
fcis-31302	198	5	fusion	fusion	NOUN
fcis-31302	198	6	model	model	NOUN
fcis-31302	198	7	based	base	VERB
fcis-31302	198	8	on	on	ADP
fcis-31302	198	9	gnn	gnn	PROPN
fcis-31302	198	10	,	,	PUNCT
fcis-31302	198	11	which	which	PRON
fcis-31302	198	12	captures	capture	VERB
fcis-31302	198	13	the	the	DET
fcis-31302	198	14	spatiotemporal	spatiotemporal	ADJ
fcis-31302	198	15	dependence	dependence	NOUN
fcis-31302	198	16	of	of	ADP
fcis-31302	198	17	landslide	landslide	NOUN
fcis-31302	198	18	occurrence	occurrence	NOUN
fcis-31302	198	19	by	by	ADP
fcis-31302	198	20	constructing	construct	VERB
fcis-31302	198	21	the	the	DET
fcis-31302	198	22	topological	topological	ADJ
fcis-31302	198	23	relationship	relationship	NOUN
fcis-31302	198	24	between	between	ADP
fcis-31302	198	25	sensor	sensor	NOUN
fcis-31302	198	26	networks	network	NOUN
fcis-31302	198	27	and	and	CCONJ
fcis-31302	198	28	image	image	NOUN
fcis-31302	198	29	data	datum	NOUN
fcis-31302	198	30	.	.	PUNCT
fcis-31302	199	1	this	this	DET
fcis-31302	199	2	model	model	NOUN
fcis-31302	199	3	significantly	significantly	ADV
fcis-31302	199	4	improved	improve	VERB
fcis-31302	199	5	the	the	DET
fcis-31302	199	6	prediction	prediction	NOUN
fcis-31302	199	7	accuracy	accuracy	NOUN
fcis-31302	199	8	in	in	ADP
fcis-31302	199	9	landslide	landslide	NOUN
fcis-31302	199	10	monitoring	monitoring	NOUN
fcis-31302	199	11	in	in	ADP
fcis-31302	199	12	sichuan	sichuan	PROPN
fcis-31302	199	13	,	,	PUNCT
fcis-31302	199	14	china	china	PROPN
fcis-31302	199	15	in	in	ADP
fcis-31302	199	16	2020	2020	NUM
fcis-31302	199	17	[	[	X
fcis-31302	199	18	13	13	NUM
fcis-31302	199	19	]	]	PUNCT
fcis-31302	199	20	.	.	PUNCT
fcis-31302	200	1	the	the	DET
fcis-31302	200	2	above	above	ADJ
fcis-31302	200	3	information	information	NOUN
fcis-31302	200	4	is	be	AUX
fcis-31302	200	5	shown	show	VERB
fcis-31302	200	6	in	in	ADP
fcis-31302	200	7	table	table	NOUN
fcis-31302	200	8	4	4	NUM
fcis-31302	200	9	.	.	NOUN
fcis-31302	200	10	4.2	4.2	NUM
fcis-31302	200	11	.	.	PUNCT
fcis-31302	201	1	technical	technical	ADJ
fcis-31302	201	2	architecture	architecture	NOUN
fcis-31302	201	3	of	of	ADP
fcis-31302	201	4	existing	exist	VERB
fcis-31302	201	5	systems	system	NOUN
fcis-31302	201	6	the	the	DET
fcis-31302	201	7	natural	natural	ADJ
fcis-31302	201	8	disaster	disaster	NOUN
fcis-31302	201	9	monitoring	monitoring	NOUN
fcis-31302	201	10	system	system	NOUN
fcis-31302	201	11	,	,	PUNCT
fcis-31302	201	12	based	base	VERB
fcis-31302	201	13	on	on	ADP
fcis-31302	201	14	multimodal	multimodal	ADJ
fcis-31302	201	15	information	information	NOUN
fcis-31302	201	16	fusion	fusion	NOUN
fcis-31302	201	17	,	,	PUNCT
fcis-31302	201	18	usually	usually	ADV
fcis-31302	201	19	adopts	adopt	VERB
fcis-31302	201	20	a	a	DET
fcis-31302	201	21	modular	modular	ADJ
fcis-31302	201	22	technical	technical	ADJ
fcis-31302	201	23	architecture	architecture	NOUN
fcis-31302	201	24	,	,	PUNCT
fcis-31302	201	25	covering	cover	VERB
fcis-31302	201	26	data	datum	NOUN
fcis-31302	201	27	acquisition	acquisition	NOUN
fcis-31302	201	28	,	,	PUNCT
fcis-31302	201	29	preprocessing	preprocessing	NOUN
fcis-31302	201	30	,	,	PUNCT
fcis-31302	201	31	feature	feature	NOUN
fcis-31302	201	32	extraction	extraction	NOUN
fcis-31302	201	33	,	,	PUNCT
fcis-31302	201	34	fusion	fusion	NOUN
fcis-31302	201	35	modeling	modeling	NOUN
fcis-31302	201	36	,	,	PUNCT
fcis-31302	201	37	and	and	CCONJ
fcis-31302	201	38	result	result	VERB
fcis-31302	201	39	output	output	NOUN
fcis-31302	201	40	.	.	PUNCT
fcis-31302	202	1	4.2.1	4.2.1	NUM
fcis-31302	202	2	.	.	PUNCT
fcis-31302	202	3	usgs	usgs	PROPN
fcis-31302	202	4	earthquake	earthquake	NOUN
fcis-31302	202	5	warning	warning	NOUN
fcis-31302	202	6	system	system	NOUN
fcis-31302	202	7	(	(	PUNCT
fcis-31302	202	8	shakealert	shakealert	NOUN
fcis-31302	202	9	)	)	PUNCT
fcis-31302	202	10	the	the	DET
fcis-31302	202	11	shakealert	shakealert	NOUN
fcis-31302	202	12	system	system	NOUN
fcis-31302	202	13	of	of	ADP
fcis-31302	202	14	the	the	DET
fcis-31302	202	15	united	united	PROPN
fcis-31302	202	16	states	states	PROPN
fcis-31302	202	17	geological	geological	ADJ
fcis-31302	202	18	survey	survey	NOUN
fcis-31302	202	19	(	(	PUNCT
fcis-31302	202	20	usgs	usgs	PROPN
fcis-31302	202	21	)	)	PUNCT
fcis-31302	202	22	is	be	AUX
fcis-31302	202	23	a	a	DET
fcis-31302	202	24	representative	representative	NOUN
fcis-31302	202	25	in	in	ADP
fcis-31302	202	26	the	the	DET
fcis-31302	202	27	field	field	NOUN
fcis-31302	202	28	of	of	ADP
fcis-31302	202	29	earthquake	earthquake	NOUN
fcis-31302	202	30	warning	warning	NOUN
fcis-31302	202	31	,	,	PUNCT
fcis-31302	202	32	integrating	integrate	VERB
fcis-31302	202	33	seismometers	seismometer	NOUN
fcis-31302	202	34	,	,	PUNCT
fcis-31302	202	35	gps	gps	PROPN
fcis-31302	202	36	,	,	PUNCT
fcis-31302	202	37	and	and	CCONJ
fcis-31302	202	38	historical	historical	ADJ
fcis-31302	202	39	earthquake	earthquake	NOUN
fcis-31302	202	40	data	datum	NOUN
fcis-31302	202	41	[	[	X
fcis-31302	202	42	15	15	NUM
fcis-31302	202	43	]	]	PUNCT
fcis-31302	202	44	.	.	PUNCT
fcis-31302	203	1	the	the	DET
fcis-31302	203	2	system	system	NOUN
fcis-31302	203	3	architecture	architecture	NOUN
fcis-31302	203	4	includes	include	VERB
fcis-31302	203	5	:	:	PUNCT
fcis-31302	203	6	(	(	PUNCT
fcis-31302	203	7	1	1	X
fcis-31302	203	8	)	)	PUNCT
fcis-31302	203	9	data	datum	NOUN
fcis-31302	203	10	collection	collection	NOUN
fcis-31302	203	11	:	:	PUNCT
fcis-31302	203	12	high	high	ADJ
fcis-31302	203	13	frequency	frequency	NOUN
fcis-31302	203	14	seismic	seismic	ADJ
fcis-31302	203	15	waves	wave	NOUN
fcis-31302	203	16	and	and	CCONJ
fcis-31302	203	17	surface	surface	NOUN
fcis-31302	203	18	deformation	deformation	NOUN
fcis-31302	203	19	data	datum	NOUN
fcis-31302	203	20	are	be	AUX
fcis-31302	203	21	collected	collect	VERB
fcis-31302	203	22	through	through	ADP
fcis-31302	203	23	thousands	thousand	NOUN
fcis-31302	203	24	of	of	ADP
fcis-31302	203	25	seismometers	seismometer	NOUN
fcis-31302	203	26	and	and	CCONJ
fcis-31302	203	27	gps	gps	PROPN
fcis-31302	203	28	stations	station	NOUN
fcis-31302	203	29	located	locate	VERB
fcis-31302	203	30	throughout	throughout	ADP
fcis-31302	203	31	the	the	DET
fcis-31302	203	32	united	united	PROPN
fcis-31302	203	33	states	states	PROPN
fcis-31302	203	34	.	.	PUNCT
fcis-31302	204	1	(	(	PUNCT
fcis-31302	204	2	2	2	X
fcis-31302	204	3	)	)	PUNCT
fcis-31302	204	4	preprocessing	preprocessing	NOUN
fcis-31302	204	5	:	:	PUNCT
fcis-31302	204	6	kalman	kalman	NOUN
fcis-31302	204	7	filtering	filtering	NOUN
fcis-31302	204	8	is	be	AUX
fcis-31302	204	9	used	use	VERB
fcis-31302	204	10	to	to	PART
fcis-31302	204	11	denoise	denoise	VERB
fcis-31302	204	12	and	and	CCONJ
fcis-31302	204	13	align	align	VERB
fcis-31302	204	14	the	the	DET
fcis-31302	204	15	data	datum	NOUN
fcis-31302	204	16	with	with	ADP
fcis-31302	204	17	time	time	NOUN
fcis-31302	204	18	series	series	PROPN
fcis-31302	204	19	.	.	PUNCT
fcis-31302	205	1	(	(	PUNCT
fcis-31302	205	2	3	3	X
fcis-31302	205	3	)	)	PUNCT
fcis-31302	205	4	fusion	fusion	NOUN
fcis-31302	205	5	model	model	NOUN
fcis-31302	205	6	:	:	PUNCT
fcis-31302	205	7	combining	combine	VERB
fcis-31302	205	8	physical	physical	ADJ
fcis-31302	205	9	models	model	NOUN
fcis-31302	205	10	and	and	CCONJ
fcis-31302	205	11	machine	machine	NOUN
fcis-31302	205	12	learning	learning	NOUN
fcis-31302	205	13	methods	method	NOUN
fcis-31302	205	14	,	,	PUNCT
fcis-31302	205	15	such	such	ADJ
fcis-31302	205	16	as	as	ADP
fcis-31302	205	17	decision	decision	NOUN
fcis-31302	205	18	trees	tree	NOUN
fcis-31302	205	19	,	,	PUNCT
fcis-31302	205	20	to	to	PART
fcis-31302	205	21	achieve	achieve	VERB
fcis-31302	205	22	epicenter	epicenter	NOUN
fcis-31302	205	23	localization	localization	NOUN
fcis-31302	205	24	and	and	CCONJ
fcis-31302	205	25	intensity	intensity	NOUN
fcis-31302	205	26	estimation	estimation	NOUN
fcis-31302	205	27	.	.	PUNCT
fcis-31302	206	1	(	(	PUNCT
fcis-31302	206	2	4	4	X
fcis-31302	206	3	)	)	PUNCT
fcis-31302	206	4	output	output	NOUN
fcis-31302	206	5	:	:	PUNCT
fcis-31302	206	6	issue	issue	VERB
fcis-31302	206	7	second	second	ADJ
fcis-31302	206	8	level	level	NOUN
fcis-31302	206	9	alerts	alert	NOUN
fcis-31302	206	10	to	to	ADP
fcis-31302	206	11	the	the	DET
fcis-31302	206	12	public	public	NOUN
fcis-31302	206	13	through	through	ADP
fcis-31302	206	14	mobile	mobile	ADJ
fcis-31302	206	15	applications	application	NOUN
fcis-31302	206	16	and	and	CCONJ
fcis-31302	206	17	alert	alert	NOUN
fcis-31302	206	18	systems	system	NOUN
fcis-31302	206	19	.	.	PUNCT
fcis-31302	207	1	shakealert	shakealert	PROPN
fcis-31302	207	2	successfully	successfully	ADV
fcis-31302	207	3	issued	issue	VERB
fcis-31302	207	4	a	a	DET
fcis-31302	207	5	10	10	NUM
fcis-31302	207	6	second	second	ADJ
fcis-31302	207	7	advance	advance	NOUN
fcis-31302	207	8	warning	warning	NOUN
fcis-31302	207	9	during	during	ADP
fcis-31302	207	10	the	the	DET
fcis-31302	207	11	2020	2020	NUM
fcis-31302	207	12	california	california	PROPN
fcis-31302	207	13	earthquake	earthquake	NOUN
fcis-31302	207	14	,	,	PUNCT
fcis-31302	207	15	significantly	significantly	ADV
fcis-31302	207	16	reducing	reduce	VERB
fcis-31302	207	17	casualties	casualty	NOUN
fcis-31302	207	18	.	.	PUNCT
fcis-31302	208	1	4.2.2	4.2.2	X
fcis-31302	208	2	.	.	PUNCT
fcis-31302	209	1	european	european	ADJ
fcis-31302	209	2	flood	flood	NOUN
fcis-31302	209	3	warning	warning	NOUN
fcis-31302	209	4	system	system	NOUN
fcis-31302	209	5	(	(	PUNCT
fcis-31302	209	6	efas	efas	NOUN
fcis-31302	209	7	)	)	PUNCT
fcis-31302	209	8	the	the	DET
fcis-31302	209	9	european	european	PROPN
fcis-31302	209	10	flood	flood	NOUN
fcis-31302	209	11	warning	warning	NOUN
fcis-31302	209	12	system	system	NOUN
fcis-31302	209	13	(	(	PUNCT
fcis-31302	209	14	efas	efas	NOUN
fcis-31302	209	15	)	)	PUNCT
fcis-31302	209	16	integrates	integrate	VERB
fcis-31302	209	17	satellite	satellite	NOUN
fcis-31302	209	18	remote	remote	ADJ
fcis-31302	209	19	sensing	sensing	NOUN
fcis-31302	209	20	,	,	PUNCT
fcis-31302	209	21	meteorological	meteorological	ADJ
fcis-31302	209	22	data	datum	NOUN
fcis-31302	209	23	,	,	PUNCT
fcis-31302	209	24	and	and	CCONJ
fcis-31302	209	25	hydrological	hydrological	ADJ
fcis-31302	209	26	models	model	NOUN
fcis-31302	209	27	to	to	PART
fcis-31302	209	28	provide	provide	VERB
fcis-31302	209	29	cross	cross	ADJ
fcis-31302	209	30	-	-	ADJ
fcis-31302	209	31	border	border	ADJ
fcis-31302	209	32	flood	flood	NOUN
fcis-31302	209	33	warnings	warning	NOUN
fcis-31302	209	34	[	[	X
fcis-31302	209	35	2	2	NUM
fcis-31302	209	36	]	]	PUNCT
fcis-31302	209	37	.	.	PUNCT
fcis-31302	210	1	the	the	DET
fcis-31302	210	2	system	system	NOUN
fcis-31302	210	3	architecture	architecture	NOUN
fcis-31302	210	4	includes	include	VERB
fcis-31302	210	5	:	:	PUNCT
fcis-31302	210	6	(	(	PUNCT
fcis-31302	210	7	1	1	X
fcis-31302	210	8	)	)	PUNCT
fcis-31302	210	9	data	datum	NOUN
fcis-31302	210	10	collection	collection	NOUN
fcis-31302	210	11	:	:	PUNCT
fcis-31302	210	12	integrate	integrate	VERB
fcis-31302	210	13	copernicus	copernicus	PROPN
fcis-31302	210	14	sentinel-1/2	sentinel-1/2	PROPN
fcis-31302	210	15	imagery	imagery	NOUN
fcis-31302	210	16	,	,	PUNCT
fcis-31302	210	17	meteorological	meteorological	ADJ
fcis-31302	210	18	station	station	NOUN
fcis-31302	210	19	rainfall	rainfall	NOUN
fcis-31302	210	20	data	datum	NOUN
fcis-31302	210	21	,	,	PUNCT
fcis-31302	210	22	and	and	CCONJ
fcis-31302	210	23	hydrological	hydrological	ADJ
fcis-31302	210	24	station	station	NOUN
fcis-31302	210	25	water	water	NOUN
fcis-31302	210	26	level	level	NOUN
fcis-31302	210	27	data	datum	NOUN
fcis-31302	210	28	[	[	X
fcis-31302	210	29	2	2	NUM
fcis-31302	210	30	]	]	PUNCT
fcis-31302	210	31	.	.	PUNCT
fcis-31302	211	1	(	(	PUNCT
fcis-31302	211	2	2	2	X
fcis-31302	211	3	)	)	PUNCT
fcis-31302	211	4	preprocessing	preprocessing	NOUN
fcis-31302	211	5	:	:	PUNCT
fcis-31302	211	6	align	align	VERB
fcis-31302	211	7	images	image	NOUN
fcis-31302	211	8	and	and	CCONJ
fcis-31302	211	9	time	time	NOUN
fcis-31302	211	10	series	series	PROPN
fcis-31302	211	11	data	datum	NOUN
fcis-31302	211	12	spatially	spatially	ADV
fcis-31302	211	13	and	and	CCONJ
fcis-31302	211	14	temporally	temporally	ADV
fcis-31302	211	15	through	through	ADP
fcis-31302	211	16	multi	multi	ADJ
fcis-31302	211	17	-	-	ADJ
fcis-31302	211	18	resolution	resolution	ADJ
fcis-31302	211	19	analysis	analysis	NOUN
fcis-31302	211	20	.	.	PUNCT
fcis-31302	212	1	(	(	PUNCT
fcis-31302	212	2	3	3	X
fcis-31302	212	3	)	)	PUNCT
fcis-31302	212	4	fusion	fusion	NOUN
fcis-31302	212	5	model	model	NOUN
fcis-31302	212	6	:	:	PUNCT
fcis-31302	212	7	using	use	VERB
fcis-31302	212	8	feature	feature	NOUN
fcis-31302	212	9	level	level	NOUN
fcis-31302	212	10	fusion	fusion	NOUN
fcis-31302	212	11	,	,	PUNCT
fcis-31302	212	12	combining	combine	VERB
fcis-31302	212	13	cnn	cnn	PROPN
fcis-31302	212	14	and	and	CCONJ
fcis-31302	212	15	hydrological	hydrological	ADJ
fcis-31302	212	16	models	model	NOUN
fcis-31302	212	17	to	to	PART
fcis-31302	212	18	predict	predict	VERB
fcis-31302	212	19	flood	flood	NOUN
fcis-31302	212	20	range	range	NOUN
fcis-31302	212	21	and	and	CCONJ
fcis-31302	212	22	intensity	intensity	NOUN
fcis-31302	212	23	.	.	PUNCT
fcis-31302	213	1	(	(	PUNCT
fcis-31302	213	2	4	4	X
fcis-31302	213	3	)	)	PUNCT
fcis-31302	213	4	output	output	NOUN
fcis-31302	213	5	:	:	PUNCT
fcis-31302	213	6	publish	publish	VERB
fcis-31302	213	7	flood	flood	NOUN
fcis-31302	213	8	risk	risk	NOUN
fcis-31302	213	9	maps	map	NOUN
fcis-31302	213	10	to	to	ADP
fcis-31302	213	11	the	the	DET
fcis-31302	213	12	government	government	NOUN
fcis-31302	213	13	and	and	CCONJ
fcis-31302	213	14	the	the	DET
fcis-31302	213	15	public	public	NOUN
fcis-31302	213	16	through	through	ADP
fcis-31302	213	17	a	a	DET
fcis-31302	213	18	web	web	NOUN
fcis-31302	213	19	platform	platform	NOUN
fcis-31302	213	20	.	.	PUNCT
fcis-31302	214	1	efas	efas	PROPN
fcis-31302	214	2	successfully	successfully	ADV
fcis-31302	214	3	predicted	predict	VERB
fcis-31302	214	4	high	high	ADJ
fcis-31302	214	5	-	-	PUNCT
fcis-31302	214	6	risk	risk	NOUN
fcis-31302	214	7	areas	area	NOUN
fcis-31302	214	8	for	for	ADP
fcis-31302	214	9	floods	flood	NOUN
fcis-31302	214	10	in	in	ADP
fcis-31302	214	11	western	western	ADJ
fcis-31302	214	12	europe	europe	PROPN
fcis-31302	214	13	in	in	ADP
fcis-31302	214	14	2021	2021	NUM
fcis-31302	214	15	,	,	PUNCT
fcis-31302	214	16	with	with	ADP
fcis-31302	214	17	a	a	DET
fcis-31302	214	18	warning	warning	NOUN
fcis-31302	214	19	time	time	NOUN
fcis-31302	214	20	advanced	advance	VERB
fcis-31302	214	21	by	by	ADP
fcis-31302	214	22	about	about	ADV
fcis-31302	214	23	24	24	NUM
fcis-31302	214	24	hours	hour	NOUN
fcis-31302	214	25	.	.	PUNCT
fcis-31302	215	1	4.2.3	4.2.3	X
fcis-31302	215	2	.	.	PUNCT
fcis-31302	216	1	typhoon	typhoon	NOUN
fcis-31302	216	2	monitoring	monitor	VERB
fcis-31302	216	3	system	system	NOUN
fcis-31302	216	4	(	(	PUNCT
fcis-31302	216	5	based	base	VERB
fcis-31302	216	6	on	on	ADP
fcis-31302	216	7	multimodal	multimodal	ADJ
fcis-31302	216	8	deep	deep	ADJ
fcis-31302	216	9	learning	learning	NOUN
fcis-31302	216	10	)	)	PUNCT
fcis-31302	217	1	the	the	DET
fcis-31302	217	2	typhoon	typhoon	NOUN
fcis-31302	217	3	monitoring	monitor	VERB
fcis-31302	217	4	system	system	NOUN
fcis-31302	217	5	proposed	propose	VERB
fcis-31302	217	6	by	by	ADP
fcis-31302	217	7	qin	qin	PROPN
fcis-31302	217	8	integrates	integrates	PROPN
fcis-31302	217	9	satellite	satellite	NOUN
fcis-31302	217	10	imagery	imagery	NOUN
fcis-31302	217	11	,	,	PUNCT
fcis-31302	217	12	meteorological	meteorological	ADJ
fcis-31302	217	13	data	datum	NOUN
fcis-31302	217	14	,	,	PUNCT
fcis-31302	217	15	and	and	CCONJ
fcis-31302	217	16	ocean	ocean	NOUN
fcis-31302	217	17	sensor	sensor	NOUN
fcis-31302	217	18	data	datum	NOUN
fcis-31302	217	19	[	[	X
fcis-31302	217	20	8	8	NUM
fcis-31302	217	21	]	]	PUNCT
fcis-31302	217	22	,	,	PUNCT
fcis-31302	217	23	and	and	CCONJ
fcis-31302	217	24	its	its	PRON
fcis-31302	217	25	architecture	architecture	NOUN
fcis-31302	217	26	includes	include	VERB
fcis-31302	217	27	:	:	PUNCT
fcis-31302	217	28	(	(	PUNCT
fcis-31302	217	29	1	1	X
fcis-31302	217	30	)	)	PUNCT
fcis-31302	217	31	data	datum	NOUN
fcis-31302	217	32	collection	collection	NOUN
fcis-31302	217	33	:	:	PUNCT
fcis-31302	217	34	modis	modis	PROPN
fcis-31302	217	35	satellite	satellite	PROPN
fcis-31302	217	36	imagery	imagery	NOUN
fcis-31302	217	37	,	,	PUNCT
fcis-31302	217	38	wind	wind	NOUN
fcis-31302	217	39	speed	speed	NOUN
fcis-31302	217	40	/	/	SYM
fcis-31302	217	41	pressure	pressure	NOUN
fcis-31302	217	42	data	datum	NOUN
fcis-31302	217	43	from	from	ADP
fcis-31302	217	44	meteorological	meteorological	ADJ
fcis-31302	217	45	stations	station	NOUN
fcis-31302	217	46	,	,	PUNCT
fcis-31302	217	47	and	and	CCONJ
fcis-31302	217	48	sea	sea	NOUN
fcis-31302	217	49	surface	surface	NOUN
fcis-31302	217	50	temperature	temperature	NOUN
fcis-31302	217	51	data	datum	NOUN
fcis-31302	217	52	from	from	ADP
fcis-31302	217	53	buoy	buoy	NOUN
fcis-31302	217	54	stations	station	NOUN
fcis-31302	217	55	.	.	PUNCT
fcis-31302	218	1	(	(	PUNCT
fcis-31302	218	2	2	2	X
fcis-31302	218	3	)	)	PUNCT
fcis-31302	218	4	preprocessing	preprocessing	NOUN
fcis-31302	218	5	:	:	PUNCT
fcis-31302	218	6	cloud	cloud	NOUN
fcis-31302	218	7	removal	removal	NOUN
fcis-31302	218	8	and	and	CCONJ
fcis-31302	218	9	data	datum	NOUN
fcis-31302	218	10	standardization	standardization	NOUN
fcis-31302	218	11	.	.	PUNCT
fcis-31302	219	1	(	(	PUNCT
fcis-31302	219	2	3	3	X
fcis-31302	219	3	)	)	PUNCT
fcis-31302	219	4	fusion	fusion	NOUN
fcis-31302	219	5	model	model	NOUN
fcis-31302	219	6	:	:	PUNCT
fcis-31302	219	7	multi	multi	ADJ
fcis-31302	219	8	branch	branch	NOUN
fcis-31302	219	9	deep	deep	ADJ
fcis-31302	219	10	network	network	NOUN
fcis-31302	219	11	(	(	PUNCT
fcis-31302	219	12	cnn+lstm	cnn+lstm	PROPN
fcis-31302	219	13	)	)	PUNCT
fcis-31302	219	14	generates	generate	VERB
fcis-31302	219	15	joint	joint	ADJ
fcis-31302	219	16	representations	representation	NOUN
fcis-31302	219	17	through	through	ADP
fcis-31302	219	18	feature	feature	NOUN
fcis-31302	219	19	level	level	NOUN
fcis-31302	219	20	fusion	fusion	NOUN
fcis-31302	219	21	.	.	PUNCT
fcis-31302	220	1	(	(	PUNCT
fcis-31302	220	2	4	4	X
fcis-31302	220	3	)	)	PUNCT
fcis-31302	220	4	output	output	NOUN
fcis-31302	220	5	:	:	PUNCT
fcis-31302	220	6	typhoon	typhoon	NOUN
fcis-31302	220	7	path	path	NOUN
fcis-31302	220	8	and	and	CCONJ
fcis-31302	220	9	intensity	intensity	NOUN
fcis-31302	220	10	prediction	prediction	NOUN
fcis-31302	220	11	results	result	NOUN
fcis-31302	220	12	for	for	ADP
fcis-31302	220	13	use	use	NOUN
fcis-31302	220	14	by	by	ADP
fcis-31302	220	15	meteorological	meteorological	ADJ
fcis-31302	220	16	departments	department	NOUN
fcis-31302	220	17	.	.	PUNCT
fcis-31302	221	1	the	the	DET
fcis-31302	221	2	system	system	NOUN
fcis-31302	221	3	performed	perform	VERB
fcis-31302	221	4	well	well	ADV
fcis-31302	221	5	in	in	ADP
fcis-31302	221	6	the	the	DET
fcis-31302	221	7	prediction	prediction	NOUN
fcis-31302	221	8	of	of	ADP
fcis-31302	221	9	typhoon	typhoon	NOUN
fcis-31302	221	10	mangkhut	mangkhut	VERB
fcis-31302	221	11	in	in	ADP
fcis-31302	221	12	2018	2018	NUM
fcis-31302	221	13	,	,	PUNCT
fcis-31302	221	14	with	with	ADP
fcis-31302	221	15	a	a	DET
fcis-31302	221	16	lower	low	ADJ
fcis-31302	221	17	path	path	NOUN
fcis-31302	221	18	prediction	prediction	NOUN
fcis-31302	221	19	error	error	NOUN
fcis-31302	221	20	than	than	ADP
fcis-31302	221	21	traditional	traditional	ADJ
fcis-31302	221	22	numerical	numerical	ADJ
fcis-31302	221	23	models	model	NOUN
fcis-31302	221	24	.	.	PUNCT
fcis-31302	222	1	4.2.4	4.2.4	X
fcis-31302	222	2	.	.	PUNCT
fcis-31302	222	3	landslide	landslide	NOUN
fcis-31302	222	4	monitoring	monitoring	NOUN
fcis-31302	222	5	system	system	NOUN
fcis-31302	222	6	(	(	PUNCT
fcis-31302	222	7	based	base	VERB
fcis-31302	222	8	on	on	ADP
fcis-31302	222	9	drones	drone	NOUN
fcis-31302	222	10	and	and	CCONJ
fcis-31302	222	11	sensors	sensor	NOUN
fcis-31302	222	12	)	)	PUNCT
fcis-31302	222	13	the	the	DET
fcis-31302	222	14	landslide	landslide	NOUN
fcis-31302	222	15	monitoring	monitoring	NOUN
fcis-31302	222	16	system	system	NOUN
fcis-31302	222	17	developed	develop	VERB
fcis-31302	222	18	by	by	ADP
fcis-31302	222	19	zhou	zhou	PROPN
fcis-31302	222	20	integrates	integrates	PROPN
fcis-31302	222	21	drone	drone	NOUN
fcis-31302	222	22	images	image	NOUN
fcis-31302	222	23	and	and	CCONJ
fcis-31302	222	24	geological	geological	ADJ
fcis-31302	222	25	sensor	sensor	NOUN
fcis-31302	222	26	data	datum	NOUN
fcis-31302	222	27	[	[	X
fcis-31302	222	28	6	6	NUM
fcis-31302	222	29	]	]	PUNCT
fcis-31302	222	30	.	.	PUNCT
fcis-31302	223	1	its	its	PRON
fcis-31302	223	2	architecture	architecture	NOUN
fcis-31302	223	3	includes	include	VERB
fcis-31302	223	4	:	:	PUNCT
fcis-31302	223	5	(	(	PUNCT
fcis-31302	223	6	1	1	X
fcis-31302	223	7	)	)	PUNCT
fcis-31302	223	8	data	datum	NOUN
fcis-31302	223	9	collection	collection	NOUN
fcis-31302	223	10	:	:	PUNCT
fcis-31302	223	11	high	high	ADJ
fcis-31302	223	12	-	-	PUNCT
fcis-31302	223	13	resolution	resolution	NOUN
fcis-31302	223	14	images	image	NOUN
fcis-31302	223	15	from	from	ADP
fcis-31302	223	16	drones	drone	NOUN
fcis-31302	223	17	,	,	PUNCT
fcis-31302	223	18	geological	geological	ADJ
fcis-31302	223	19	sensors	sensor	NOUN
fcis-31302	223	20	(	(	PUNCT
fcis-31302	223	21	strain	strain	NOUN
fcis-31302	223	22	gauges	gauge	NOUN
fcis-31302	223	23	,	,	PUNCT
fcis-31302	223	24	displacement	displacement	NOUN
fcis-31302	223	25	gauges	gauge	NOUN
fcis-31302	223	26	)	)	PUNCT
fcis-31302	223	27	.	.	PUNCT
fcis-31302	224	1	(	(	PUNCT
fcis-31302	224	2	2	2	X
fcis-31302	224	3	)	)	PUNCT
fcis-31302	224	4	preprocessing	preprocessing	NOUN
fcis-31302	224	5	:	:	PUNCT
fcis-31302	224	6	image	image	NOUN
fcis-31302	224	7	correction	correction	NOUN
fcis-31302	224	8	,	,	PUNCT
fcis-31302	224	9	sensor	sensor	NOUN
fcis-31302	224	10	data	datum	NOUN
fcis-31302	224	11	denoising	denoise	VERB
fcis-31302	224	12	.	.	PUNCT
fcis-31302	225	1	(	(	PUNCT
fcis-31302	225	2	3	3	X
fcis-31302	225	3	)	)	PUNCT
fcis-31302	225	4	fusion	fusion	NOUN
fcis-31302	225	5	model	model	NOUN
fcis-31302	225	6	:	:	PUNCT
fcis-31302	225	7	based	base	VERB
fcis-31302	225	8	on	on	ADP
fcis-31302	225	9	u	u	ADJ
fcis-31302	225	10	-	-	ADJ
fcis-31302	225	11	net	net	ADJ
fcis-31302	225	12	image	image	NOUN
fcis-31302	225	13	segmentation	segmentation	NOUN
fcis-31302	225	14	model	model	NOUN
fcis-31302	225	15	and	and	CCONJ
fcis-31302	225	16	time	time	NOUN
fcis-31302	225	17	series	series	PROPN
fcis-31302	225	18	analysis	analysis	NOUN
fcis-31302	225	19	model	model	NOUN
fcis-31302	225	20	,	,	PUNCT
fcis-31302	225	21	feature	feature	NOUN
fcis-31302	225	22	level	level	NOUN
fcis-31302	225	23	fusion	fusion	NOUN
fcis-31302	225	24	is	be	AUX
fcis-31302	225	25	adopted	adopt	VERB
fcis-31302	225	26	.	.	PUNCT
fcis-31302	226	1	(	(	PUNCT
fcis-31302	226	2	4	4	X
fcis-31302	226	3	)	)	PUNCT
fcis-31302	226	4	output	output	NOUN
fcis-31302	226	5	:	:	PUNCT
fcis-31302	226	6	landslide	landslide	NOUN
fcis-31302	226	7	risk	risk	NOUN
fcis-31302	226	8	map	map	NOUN
fcis-31302	226	9	and	and	CCONJ
fcis-31302	226	10	warning	warning	NOUN
fcis-31302	226	11	signals	signal	NOUN
fcis-31302	226	12	.	.	PUNCT
fcis-31302	227	1	the	the	DET
fcis-31302	227	2	system	system	NOUN
fcis-31302	227	3	successfully	successfully	ADV
fcis-31302	227	4	identified	identify	VERB
fcis-31302	227	5	high	high	ADJ
fcis-31302	227	6	-	-	PUNCT
fcis-31302	227	7	risk	risk	NOUN
fcis-31302	227	8	areas	area	NOUN
fcis-31302	227	9	during	during	ADP
fcis-31302	227	10	the	the	DET
fcis-31302	227	11	2019	2019	NUM
fcis-31302	227	12	landslide	landslide	NOUN
fcis-31302	227	13	event	event	NOUN
fcis-31302	227	14	in	in	ADP
fcis-31302	227	15	india	india	PROPN
fcis-31302	227	16	,	,	PUNCT
fcis-31302	227	17	with	with	ADP
fcis-31302	227	18	a	a	DET
fcis-31302	227	19	warning	warning	NOUN
fcis-31302	227	20	accuracy	accuracy	NOUN
fcis-31302	227	21	rate	rate	NOUN
fcis-31302	227	22	of	of	ADP
fcis-31302	227	23	85	85	NUM
fcis-31302	227	24	%	%	NOUN
fcis-31302	227	25	.	.	PUNCT
fcis-31302	228	1	4.3	4.3	NUM
fcis-31302	228	2	.	.	PUNCT
fcis-31302	228	3	application	application	NOUN
fcis-31302	228	4	effects	effect	NOUN
fcis-31302	228	5	and	and	CCONJ
fcis-31302	228	6	limitations	limitation	NOUN
fcis-31302	228	7	4.3.1	4.3.1	NUM
fcis-31302	228	8	.	.	PUNCT
fcis-31302	228	9	application	application	NOUN
fcis-31302	228	10	effect	effect	NOUN
fcis-31302	228	11	(	(	PUNCT
fcis-31302	228	12	1	1	NUM
fcis-31302	228	13	)	)	PUNCT
fcis-31302	228	14	accuracy	accuracy	NOUN
fcis-31302	228	15	improvement	improvement	NOUN
fcis-31302	228	16	:	:	PUNCT
fcis-31302	228	17	multimodal	multimodal	NOUN
fcis-31302	228	18	fusion	fusion	NOUN
fcis-31302	228	19	significantly	significantly	ADV
fcis-31302	228	20	improves	improve	VERB
fcis-31302	228	21	monitoring	monitor	VERB
fcis-31302	228	22	accuracy	accuracy	NOUN
fcis-31302	228	23	by	by	ADP
fcis-31302	228	24	integrating	integrate	VERB
fcis-31302	228	25	complementary	complementary	ADJ
fcis-31302	228	26	data	datum	NOUN
fcis-31302	228	27	.	.	PUNCT
fcis-31302	229	1	for	for	ADP
fcis-31302	229	2	example	example	NOUN
fcis-31302	229	3	,	,	PUNCT
fcis-31302	229	4	li	li	PROPN
fcis-31302	229	5	's	's	PART
fcis-31302	229	6	flood	flood	NOUN
fcis-31302	229	7	monitoring	monitoring	NOUN
fcis-31302	229	8	system	system	NOUN
fcis-31302	229	9	has	have	AUX
fcis-31302	229	10	improved	improve	VERB
fcis-31302	229	11	the	the	DET
fcis-31302	229	12	detection	detection	NOUN
fcis-31302	229	13	accuracy	accuracy	NOUN
fcis-31302	229	14	from	from	ADP
fcis-31302	229	15	80	80	NUM
fcis-31302	229	16	%	%	NOUN
fcis-31302	229	17	(	(	PUNCT
fcis-31302	229	18	single	single	ADJ
fcis-31302	229	19	remote	remote	ADJ
fcis-31302	229	20	sensing	sensing	NOUN
fcis-31302	229	21	)	)	PUNCT
fcis-31302	229	22	to	to	ADP
fcis-31302	229	23	over	over	ADP
fcis-31302	229	24	90	90	NUM
fcis-31302	229	25	%	%	NOUN
fcis-31302	229	26	[	[	X
fcis-31302	229	27	2	2	NUM
fcis-31302	229	28	]	]	PUNCT
fcis-31302	229	29	.	.	PUNCT
fcis-31302	230	1	(	(	PUNCT
fcis-31302	230	2	2	2	X
fcis-31302	230	3	)	)	PUNCT
fcis-31302	230	4	shorten	shorten	VERB
fcis-31302	230	5	alert	alert	ADJ
fcis-31302	230	6	time	time	NOUN
fcis-31302	230	7	:	:	PUNCT
fcis-31302	230	8	the	the	DET
fcis-31302	230	9	introduction	introduction	NOUN
fcis-31302	230	10	of	of	ADP
fcis-31302	230	11	social	social	ADJ
fcis-31302	230	12	media	medium	NOUN
fcis-31302	230	13	and	and	CCONJ
fcis-31302	230	14	edge	edge	NOUN
fcis-31302	230	15	computing	computing	NOUN
fcis-31302	230	16	has	have	AUX
fcis-31302	230	17	significantly	significantly	ADV
fcis-31302	230	18	shortened	shorten	VERB
fcis-31302	230	19	the	the	DET
fcis-31302	230	20	alert	alert	ADJ
fcis-31302	230	21	time	time	NOUN
fcis-31302	230	22	.	.	PUNCT
fcis-31302	231	1	ahuja	ahuja	PROPN
fcis-31302	231	2	's	's	PART
fcis-31302	231	3	flood	flood	NOUN
fcis-31302	231	4	monitoring	monitoring	NOUN
fcis-31302	231	5	system	system	NOUN
fcis-31302	231	6	has	have	AUX
fcis-31302	231	7	shortened	shorten	VERB
fcis-31302	231	8	the	the	DET
fcis-31302	231	9	warning	warning	NOUN
fcis-31302	231	10	time	time	NOUN
fcis-31302	231	11	from	from	ADP
fcis-31302	231	12	4	4	NUM
fcis-31302	231	13	hours	hour	NOUN
fcis-31302	231	14	to	to	ADP
fcis-31302	231	15	2	2	NUM
fcis-31302	231	16	hours	hour	NOUN
fcis-31302	231	17	[	[	X
fcis-31302	231	18	9	9	NUM
fcis-31302	231	19	]	]	PUNCT
fcis-31302	231	20	.	.	PUNCT
fcis-31302	232	1	(	(	PUNCT
fcis-31302	232	2	3	3	X
fcis-31302	232	3	)	)	PUNCT
fcis-31302	232	4	expanded	expand	VERB
fcis-31302	232	5	coverage	coverage	NOUN
fcis-31302	232	6	:	:	PUNCT
fcis-31302	232	7	the	the	DET
fcis-31302	232	8	integration	integration	NOUN
fcis-31302	232	9	of	of	ADP
fcis-31302	232	10	remote	remote	ADJ
fcis-31302	232	11	sensing	sensing	NOUN
fcis-31302	232	12	and	and	CCONJ
fcis-31302	232	13	drone	drone	NOUN
fcis-31302	232	14	data	datum	NOUN
fcis-31302	232	15	has	have	AUX
fcis-31302	232	16	expanded	expand	VERB
fcis-31302	232	17	the	the	DET
fcis-31302	232	18	monitoring	monitoring	NOUN
fcis-31302	232	19	range	range	NOUN
fcis-31302	232	20	,	,	PUNCT
fcis-31302	232	21	especially	especially	ADV
fcis-31302	232	22	in	in	ADP
fcis-31302	232	23	remote	remote	ADJ
fcis-31302	232	24	areas	area	NOUN
fcis-31302	232	25	.	.	PUNCT
fcis-31302	233	1	zhou	zhou	PROPN
fcis-31302	233	2	's	's	PART
fcis-31302	233	3	landslide	landslide	NOUN
fcis-31302	233	4	monitoring	monitoring	NOUN
fcis-31302	233	5	system	system	NOUN
fcis-31302	233	6	has	have	AUX
fcis-31302	233	7	achieved	achieve	VERB
fcis-31302	233	8	high	high	ADJ
fcis-31302	233	9	-	-	PUNCT
fcis-31302	233	10	precision	precision	NOUN
fcis-31302	233	11	monitoring	monitoring	NOUN
fcis-31302	233	12	in	in	ADP
fcis-31302	233	13	mountainous	mountainous	ADJ
fcis-31302	233	14	areas	area	NOUN
fcis-31302	233	15	[	[	X
fcis-31302	233	16	6	6	NUM
fcis-31302	233	17	]	]	PUNCT
fcis-31302	233	18	.	.	PUNCT
fcis-31302	234	1	(	(	PUNCT
fcis-31302	234	2	4	4	X
fcis-31302	234	3	)	)	PUNCT
fcis-31302	234	4	robustness	robustness	NOUN
fcis-31302	234	5	enhancement	enhancement	NOUN
fcis-31302	234	6	:	:	PUNCT
fcis-31302	234	7	multimodal	multimodal	NOUN
fcis-31302	234	8	fusion	fusion	NOUN
fcis-31302	234	9	has	have	VERB
fcis-31302	234	10	strong	strong	ADJ
fcis-31302	234	11	robustness	robustness	NOUN
fcis-31302	234	12	to	to	ADP
fcis-31302	234	13	modal	modal	ADJ
fcis-31302	234	14	loss	loss	NOUN
fcis-31302	234	15	and	and	CCONJ
fcis-31302	234	16	noise	noise	NOUN
fcis-31302	234	17	.	.	PUNCT
fcis-31302	235	1	sghaier	sghaier	NOUN
fcis-31302	235	2	's	's	PART
fcis-31302	235	3	typhoon	typhoon	NOUN
fcis-31302	235	4	warning	warning	NOUN
fcis-31302	235	5	system	system	NOUN
fcis-31302	235	6	maintains	maintain	VERB
fcis-31302	235	7	high	high	ADJ
fcis-31302	235	8	prediction	prediction	NOUN
fcis-31302	235	9	accuracy	accuracy	NOUN
fcis-31302	235	10	even	even	ADV
fcis-31302	235	11	when	when	SCONJ
fcis-31302	235	12	some	some	DET
fcis-31302	235	13	data	data	NOUN
fcis-31302	235	14	is	be	AUX
fcis-31302	235	15	missing	miss	VERB
fcis-31302	235	16	[	[	X
fcis-31302	235	17	2	2	NUM
fcis-31302	235	18	]	]	PUNCT
fcis-31302	235	19	.	.	PUNCT
fcis-31302	236	1	4.3.2	4.3.2	X
fcis-31302	236	2	.	.	PUNCT
fcis-31302	236	3	limitations	limitation	NOUN
fcis-31302	236	4	(	(	PUNCT
fcis-31302	236	5	1	1	NUM
fcis-31302	236	6	)	)	PUNCT
fcis-31302	236	7	data	datum	NOUN
fcis-31302	236	8	latency	latency	NOUN
fcis-31302	236	9	:	:	PUNCT
fcis-31302	236	10	real	real	ADJ
fcis-31302	236	11	time	time	NOUN
fcis-31302	236	12	data	data	NOUN
fcis-31302	236	13	collection	collection	NOUN
fcis-31302	236	14	and	and	CCONJ
fcis-31302	236	15	transmission	transmission	NOUN
fcis-31302	236	16	may	may	AUX
fcis-31302	236	17	be	be	AUX
fcis-31302	236	18	delayed	delay	VERB
fcis-31302	236	19	due	due	ADJ
fcis-31302	236	20	to	to	ADP
fcis-31302	236	21	network	network	NOUN
fcis-31302	236	22	limitations	limitation	NOUN
fcis-31302	236	23	or	or	CCONJ
fcis-31302	236	24	equipment	equipment	NOUN
fcis-31302	236	25	failures	failure	NOUN
fcis-31302	236	26	,	,	PUNCT
fcis-31302	236	27	especially	especially	ADV
fcis-31302	236	28	in	in	ADP
fcis-31302	236	29	remote	remote	ADJ
fcis-31302	236	30	areas	area	NOUN
fcis-31302	236	31	[	[	X
fcis-31302	236	32	10	10	NUM
fcis-31302	236	33	]	]	PUNCT
fcis-31302	236	34	.	.	PUNCT
fcis-31302	237	1	(	(	PUNCT
fcis-31302	237	2	2	2	X
fcis-31302	237	3	)	)	PUNCT
fcis-31302	237	4	insufficient	insufficient	ADJ
fcis-31302	237	5	generalization	generalization	NOUN
fcis-31302	237	6	ability	ability	NOUN
fcis-31302	237	7	of	of	ADP
fcis-31302	237	8	the	the	DET
fcis-31302	237	9	model	model	NOUN
fcis-31302	237	10	:	:	PUNCT
fcis-31302	237	11	deep	deep	ADJ
fcis-31302	237	12	learning	learning	NOUN
fcis-31302	237	13	models	model	NOUN
fcis-31302	237	14	have	have	AUX
fcis-31302	237	15	limited	limit	VERB
fcis-31302	237	16	transferability	transferability	NOUN
fcis-31302	237	17	in	in	ADP
fcis-31302	237	18	different	different	ADJ
fcis-31302	237	19	disaster	disaster	NOUN
fcis-31302	237	20	scenarios	scenario	NOUN
fcis-31302	237	21	or	or	CCONJ
fcis-31302	237	22	regions	region	NOUN
fcis-31302	237	23	.	.	PUNCT
fcis-31302	238	1	qin	qin	PROPN
fcis-31302	238	2	's	's	PART
fcis-31302	238	3	typhoon	typhoon	NOUN
fcis-31302	238	4	model	model	NOUN
fcis-31302	238	5	performs	perform	VERB
fcis-31302	238	6	well	well	ADV
fcis-31302	238	7	in	in	ADP
fcis-31302	238	8	east	east	PROPN
fcis-31302	238	9	asia	asia	PROPN
fcis-31302	238	10	,	,	PUNCT
fcis-31302	238	11	but	but	CCONJ
fcis-31302	238	12	needs	need	VERB
fcis-31302	238	13	to	to	PART
fcis-31302	238	14	be	be	AUX
fcis-31302	238	15	retrained	retrain	VERB
fcis-31302	238	16	in	in	ADP
fcis-31302	238	17	other	other	ADJ
fcis-31302	238	18	sea	sea	NOUN
fcis-31302	238	19	areas	area	NOUN
fcis-31302	238	20	[	[	X
fcis-31302	238	21	8	8	NUM
fcis-31302	238	22	]	]	PUNCT
fcis-31302	238	23	.	.	PUNCT
fcis-31302	239	1	(	(	PUNCT
fcis-31302	239	2	3	3	X
fcis-31302	239	3	)	)	PUNCT
fcis-31302	239	4	computational	computational	ADJ
fcis-31302	239	5	complexity	complexity	NOUN
fcis-31302	239	6	:	:	PUNCT
fcis-31302	239	7	the	the	DET
fcis-31302	239	8	high	high	ADJ
fcis-31302	239	9	computational	computational	ADJ
fcis-31302	239	10	requirements	requirement	NOUN
fcis-31302	239	11	of	of	ADP
fcis-31302	239	12	multimodal	multimodal	NOUN
fcis-31302	239	13	fusion	fusion	NOUN
fcis-31302	239	14	models	model	NOUN
fcis-31302	239	15	limit	limit	VERB
fcis-31302	239	16	their	their	PRON
fcis-31302	239	17	deployment	deployment	NOUN
fcis-31302	239	18	on	on	ADP
fcis-31302	239	19	resource	resource	NOUN
fcis-31302	239	20	constrained	constrain	VERB
fcis-31302	239	21	edge	edge	NOUN
fcis-31302	239	22	devices	device	NOUN
fcis-31302	239	23	[	[	X
fcis-31302	239	24	14	14	NUM
fcis-31302	239	25	]	]	PUNCT
fcis-31302	239	26	.	.	PUNCT
fcis-31302	240	1	(	(	PUNCT
fcis-31302	240	2	4	4	X
fcis-31302	240	3	)	)	PUNCT
fcis-31302	240	4	data	datum	NOUN
fcis-31302	240	5	privacy	privacy	NOUN
fcis-31302	240	6	and	and	CCONJ
fcis-31302	240	7	ethics	ethic	NOUN
fcis-31302	240	8	:	:	PUNCT
fcis-31302	240	9	the	the	DET
fcis-31302	240	10	widespread	widespread	ADJ
fcis-31302	240	11	use	use	NOUN
fcis-31302	240	12	of	of	ADP
fcis-31302	240	13	social	social	ADJ
fcis-31302	240	14	media	medium	NOUN
fcis-31302	240	15	data	datum	NOUN
fcis-31302	240	16	has	have	AUX
fcis-31302	240	17	raised	raise	VERB
fcis-31302	240	18	privacy	privacy	NOUN
fcis-31302	240	19	and	and	CCONJ
fcis-31302	240	20	ethical	ethical	ADJ
fcis-31302	240	21	issues	issue	NOUN
fcis-31302	240	22	.	.	PUNCT
fcis-31302	241	1	ahuja	ahuja	PROPN
fcis-31302	241	2	pointed	point	VERB
fcis-31302	241	3	out	out	ADP
fcis-31302	241	4	that	that	SCONJ
fcis-31302	241	5	the	the	DET
fcis-31302	241	6	anonymization	anonymization	NOUN
fcis-31302	241	7	of	of	ADP
fcis-31302	241	8	twitter	twitter	NOUN
fcis-31302	241	9	data	datum	NOUN
fcis-31302	241	10	still	still	ADV
fcis-31302	241	11	needs	need	VERB
fcis-31302	241	12	improvement	improvement	NOUN
fcis-31302	241	13	to	to	PART
fcis-31302	241	14	protect	protect	VERB
fcis-31302	241	15	user	user	NOUN
fcis-31302	241	16	privacy	privacy	NOUN
fcis-31302	242	1	[	[	X
fcis-31302	242	2	9	9	NUM
fcis-31302	242	3	]	]	PUNCT
fcis-31302	242	4	.	.	PUNCT
fcis-31302	243	1	the	the	DET
fcis-31302	243	2	above	above	ADJ
fcis-31302	243	3	information	information	NOUN
fcis-31302	243	4	is	be	AUX
fcis-31302	243	5	shown	show	VERB
fcis-31302	243	6	in	in	ADP
fcis-31302	243	7	table	table	NOUN
fcis-31302	243	8	5	5	NUM
fcis-31302	243	9	.	.	SYM
fcis-31302	243	10	8	8	NUM
fcis-31302	243	11	table	table	NOUN
fcis-31302	243	12	5	5	NUM
fcis-31302	243	13	.	.	PUNCT
fcis-31302	243	14	application	application	NOUN
fcis-31302	243	15	effects	effect	NOUN
fcis-31302	243	16	and	and	CCONJ
fcis-31302	243	17	limitations	limitation	NOUN
fcis-31302	243	18	of	of	ADP
fcis-31302	243	19	multimodal	multimodal	ADJ
fcis-31302	243	20	fusion	fusion	NOUN
fcis-31302	243	21	systems	system	NOUN
fcis-31302	243	22	aspect	aspect	NOUN
fcis-31302	243	23	effect	effect	NOUN
fcis-31302	243	24	limitation	limitation	NOUN
fcis-31302	243	25	improvement	improvement	NOUN
fcis-31302	243	26	direction	direction	NOUN
fcis-31302	243	27	accuracy	accuracy	NOUN
fcis-31302	243	28	improved	improve	VERB
fcis-31302	243	29	detection	detection	NOUN
fcis-31302	243	30	accuracy	accuracy	NOUN
fcis-31302	243	31	to	to	ADP
fcis-31302	243	32	over	over	ADP
fcis-31302	243	33	90	90	NUM
fcis-31302	243	34	%	%	NOUN
fcis-31302	243	35	insufficient	insufficient	ADJ
fcis-31302	243	36	generalization	generalization	NOUN
fcis-31302	243	37	ability	ability	NOUN
fcis-31302	243	38	of	of	ADP
fcis-31302	243	39	the	the	DET
fcis-31302	243	40	model	model	PROPN
fcis-31302	243	41	cross	cross	PROPN
fcis-31302	243	42	regional	regional	ADJ
fcis-31302	243	43	transfer	transfer	NOUN
fcis-31302	243	44	learning	learning	NOUN
fcis-31302	243	45	,	,	PUNCT
fcis-31302	243	46	zero	zero	NUM
fcis-31302	243	47	sample	sample	NOUN
fcis-31302	243	48	learning	learn	VERB
fcis-31302	243	49	warning	warning	NOUN
fcis-31302	243	50	time	time	NOUN
fcis-31302	243	51	shorten	shorten	VERB
fcis-31302	243	52	warning	warn	VERB
fcis-31302	243	53	time	time	NOUN
fcis-31302	243	54	to	to	ADP
fcis-31302	243	55	seconds	second	NOUN
fcis-31302	243	56	to	to	ADP
fcis-31302	243	57	hours	hour	NOUN
fcis-31302	243	58	data	datum	NOUN
fcis-31302	243	59	transmission	transmission	NOUN
fcis-31302	243	60	delay	delay	NOUN
fcis-31302	243	61	edge	edge	NOUN
fcis-31302	243	62	computing	computing	NOUN
fcis-31302	243	63	,	,	PUNCT
fcis-31302	243	64	5	5	NUM
fcis-31302	243	65	g	g	NOUN
fcis-31302	243	66	network	network	NOUN
fcis-31302	243	67	coverage	coverage	NOUN
fcis-31302	243	68	covering	cover	VERB
fcis-31302	243	69	remote	remote	ADJ
fcis-31302	243	70	areas	area	NOUN
fcis-31302	243	71	and	and	CCONJ
fcis-31302	243	72	complex	complex	ADJ
fcis-31302	243	73	terrains	terrain	NOUN
fcis-31302	243	74	data	data	NOUN
fcis-31302	243	75	collection	collection	NOUN
fcis-31302	243	76	is	be	AUX
fcis-31302	243	77	limited	limit	VERB
fcis-31302	243	78	by	by	ADP
fcis-31302	243	79	device	device	NOUN
fcis-31302	243	80	distribution	distribution	NOUN
fcis-31302	243	81	low	low	ADJ
fcis-31302	243	82	-	-	PUNCT
fcis-31302	243	83	cost	cost	NOUN
fcis-31302	243	84	sensors	sensor	NOUN
fcis-31302	243	85	,	,	PUNCT
fcis-31302	243	86	drone	drone	NOUN
fcis-31302	243	87	networks	network	NOUN
fcis-31302	243	88	robustness	robustness	VERB
fcis-31302	243	89	robust	robust	ADJ
fcis-31302	243	90	to	to	PART
fcis-31302	243	91	noise	noise	VERB
fcis-31302	243	92	and	and	CCONJ
fcis-31302	243	93	missing	miss	VERB
fcis-31302	243	94	data	datum	NOUN
fcis-31302	243	95	high	high	ADJ
fcis-31302	243	96	computational	computational	ADJ
fcis-31302	243	97	complexity	complexity	NOUN
fcis-31302	243	98	model	model	NOUN
fcis-31302	243	99	compression	compression	NOUN
fcis-31302	243	100	,	,	PUNCT
fcis-31302	243	101	incremental	incremental	ADJ
fcis-31302	243	102	learning	learn	VERB
fcis-31302	243	103	5	5	NUM
fcis-31302	243	104	.	.	PUNCT
fcis-31302	243	105	research	research	NOUN
fcis-31302	243	106	challenges	challenge	NOUN
fcis-31302	243	107	and	and	CCONJ
fcis-31302	243	108	solutions	solution	NOUN
fcis-31302	243	109	the	the	DET
fcis-31302	243	110	application	application	NOUN
fcis-31302	243	111	of	of	ADP
fcis-31302	243	112	multimodal	multimodal	NOUN
fcis-31302	243	113	information	information	NOUN
fcis-31302	243	114	fusion	fusion	NOUN
fcis-31302	243	115	in	in	ADP
fcis-31302	243	116	realtime	realtime	ADJ
fcis-31302	243	117	intelligent	intelligent	ADJ
fcis-31302	243	118	monitoring	monitoring	NOUN
fcis-31302	243	119	and	and	CCONJ
fcis-31302	243	120	early	early	ADJ
fcis-31302	243	121	warning	warning	NOUN
fcis-31302	243	122	of	of	ADP
fcis-31302	243	123	natural	natural	ADJ
fcis-31302	243	124	disasters	disaster	NOUN
fcis-31302	243	125	has	have	AUX
fcis-31302	243	126	made	make	VERB
fcis-31302	243	127	significant	significant	ADJ
fcis-31302	243	128	progress	progress	NOUN
fcis-31302	243	129	,	,	PUNCT
fcis-31302	243	130	but	but	CCONJ
fcis-31302	243	131	still	still	ADV
fcis-31302	243	132	faces	face	VERB
fcis-31302	243	133	many	many	ADJ
fcis-31302	243	134	technical	technical	ADJ
fcis-31302	243	135	and	and	CCONJ
fcis-31302	243	136	practical	practical	ADJ
fcis-31302	243	137	challenges	challenge	NOUN
fcis-31302	243	138	.	.	PUNCT
fcis-31302	244	1	these	these	DET
fcis-31302	244	2	challenges	challenge	NOUN
fcis-31302	244	3	include	include	VERB
fcis-31302	244	4	data	datum	NOUN
fcis-31302	244	5	heterogeneity	heterogeneity	NOUN
fcis-31302	244	6	and	and	CCONJ
fcis-31302	244	7	modal	modal	ADJ
fcis-31302	244	8	loss	loss	NOUN
fcis-31302	244	9	,	,	PUNCT
fcis-31302	244	10	computational	computational	ADJ
fcis-31302	244	11	complexity	complexity	NOUN
fcis-31302	244	12	and	and	CCONJ
fcis-31302	244	13	real	real	ADJ
fcis-31302	244	14	-	-	PUNCT
fcis-31302	244	15	time	time	NOUN
fcis-31302	244	16	requirements	requirement	NOUN
fcis-31302	244	17	,	,	PUNCT
fcis-31302	244	18	insufficient	insufficient	ADJ
fcis-31302	244	19	model	model	NOUN
fcis-31302	244	20	generalization	generalization	NOUN
fcis-31302	244	21	ability	ability	NOUN
fcis-31302	244	22	,	,	PUNCT
fcis-31302	244	23	data	datum	NOUN
fcis-31302	244	24	privacy	privacy	NOUN
fcis-31302	244	25	and	and	CCONJ
fcis-31302	244	26	ethical	ethical	ADJ
fcis-31302	244	27	issues	issue	NOUN
fcis-31302	244	28	,	,	PUNCT
fcis-31302	244	29	and	and	CCONJ
fcis-31302	244	30	difficulties	difficulty	NOUN
fcis-31302	244	31	in	in	ADP
fcis-31302	244	32	cross	cross	ADJ
fcis-31302	244	33	regional	regional	ADJ
fcis-31302	244	34	collaboration	collaboration	NOUN
fcis-31302	244	35	.	.	PUNCT
fcis-31302	245	1	in	in	ADP
fcis-31302	245	2	response	response	NOUN
fcis-31302	245	3	to	to	ADP
fcis-31302	245	4	these	these	DET
fcis-31302	245	5	challenges	challenge	NOUN
fcis-31302	245	6	,	,	PUNCT
fcis-31302	245	7	researchers	researcher	NOUN
fcis-31302	245	8	have	have	AUX
fcis-31302	245	9	proposed	propose	VERB
fcis-31302	245	10	a	a	DET
fcis-31302	245	11	variety	variety	NOUN
fcis-31302	245	12	of	of	ADP
fcis-31302	245	13	solutions	solution	NOUN
fcis-31302	245	14	,	,	PUNCT
fcis-31302	245	15	including	include	VERB
fcis-31302	245	16	adaptive	adaptive	ADJ
fcis-31302	245	17	fusion	fusion	NOUN
fcis-31302	245	18	algorithms	algorithm	NOUN
fcis-31302	245	19	,	,	PUNCT
fcis-31302	245	20	edge	edge	NOUN
fcis-31302	245	21	computing	computing	NOUN
fcis-31302	245	22	,	,	PUNCT
fcis-31302	245	23	migration	migration	NOUN
fcis-31302	245	24	learning	learning	NOUN
fcis-31302	245	25	,	,	PUNCT
fcis-31302	245	26	federated	federated	ADJ
fcis-31302	245	27	learning	learning	NOUN
fcis-31302	245	28	,	,	PUNCT
fcis-31302	245	29	and	and	CCONJ
fcis-31302	245	30	global	global	ADJ
fcis-31302	245	31	collaborative	collaborative	ADJ
fcis-31302	245	32	networks	network	NOUN
fcis-31302	245	33	.	.	PUNCT
fcis-31302	246	1	5.1	5.1	NUM
fcis-31302	246	2	.	.	PUNCT
fcis-31302	247	1	data	datum	NOUN
fcis-31302	247	2	heterogeneity	heterogeneity	NOUN
fcis-31302	247	3	and	and	CCONJ
fcis-31302	247	4	modal	modal	ADJ
fcis-31302	247	5	deficiency	deficiency	NOUN
fcis-31302	247	6	the	the	DET
fcis-31302	247	7	heterogeneity	heterogeneity	NOUN
fcis-31302	247	8	of	of	ADP
fcis-31302	247	9	multimodal	multimodal	NOUN
fcis-31302	247	10	data	datum	NOUN
fcis-31302	247	11	is	be	AUX
fcis-31302	247	12	one	one	NUM
fcis-31302	247	13	of	of	ADP
fcis-31302	247	14	the	the	DET
fcis-31302	247	15	core	core	NOUN
fcis-31302	247	16	issues	issue	NOUN
fcis-31302	247	17	in	in	ADP
fcis-31302	247	18	natural	natural	ADJ
fcis-31302	247	19	disaster	disaster	NOUN
fcis-31302	247	20	monitoring	monitoring	NOUN
fcis-31302	247	21	.	.	PUNCT
fcis-31302	248	1	there	there	PRON
fcis-31302	248	2	are	be	VERB
fcis-31302	248	3	significant	significant	ADJ
fcis-31302	248	4	differences	difference	NOUN
fcis-31302	248	5	in	in	ADP
fcis-31302	248	6	format	format	NOUN
fcis-31302	248	7	,	,	PUNCT
fcis-31302	248	8	resolution	resolution	NOUN
fcis-31302	248	9	,	,	PUNCT
fcis-31302	248	10	time	time	NOUN
fcis-31302	248	11	scale	scale	NOUN
fcis-31302	248	12	,	,	PUNCT
fcis-31302	248	13	and	and	CCONJ
fcis-31302	248	14	semantics	semantic	NOUN
fcis-31302	248	15	among	among	ADP
fcis-31302	248	16	different	different	ADJ
fcis-31302	248	17	modalities	modality	NOUN
fcis-31302	248	18	of	of	ADP
fcis-31302	248	19	data	datum	NOUN
fcis-31302	248	20	,	,	PUNCT
fcis-31302	248	21	such	such	ADJ
fcis-31302	248	22	as	as	ADP
fcis-31302	248	23	remote	remote	ADJ
fcis-31302	248	24	sensing	sensing	NOUN
fcis-31302	248	25	images	image	NOUN
fcis-31302	248	26	,	,	PUNCT
fcis-31302	248	27	ground	ground	NOUN
fcis-31302	248	28	sensor	sensor	NOUN
fcis-31302	248	29	data	datum	NOUN
fcis-31302	248	30	,	,	PUNCT
fcis-31302	248	31	and	and	CCONJ
fcis-31302	248	32	social	social	ADJ
fcis-31302	248	33	media	medium	NOUN
fcis-31302	248	34	text	text	NOUN
fcis-31302	248	35	.	.	PUNCT
fcis-31302	249	1	for	for	ADP
fcis-31302	249	2	example	example	NOUN
fcis-31302	249	3	,	,	PUNCT
fcis-31302	249	4	satellite	satellite	NOUN
fcis-31302	249	5	imagery	imagery	NOUN
fcis-31302	249	6	provides	provide	VERB
fcis-31302	249	7	high	high	ADJ
fcis-31302	249	8	-	-	PUNCT
fcis-31302	249	9	resolution	resolution	NOUN
fcis-31302	249	10	spatial	spatial	ADJ
fcis-31302	249	11	information	information	NOUN
fcis-31302	249	12	,	,	PUNCT
fcis-31302	249	13	but	but	CCONJ
fcis-31302	249	14	is	be	AUX
fcis-31302	249	15	affected	affect	VERB
fcis-31302	249	16	by	by	ADP
fcis-31302	249	17	cloud	cloud	NOUN
fcis-31302	249	18	cover	cover	NOUN
fcis-31302	249	19	;	;	PUNCT
fcis-31302	249	20	ground	ground	NOUN
fcis-31302	249	21	sensor	sensor	NOUN
fcis-31302	249	22	data	datum	NOUN
fcis-31302	249	23	has	have	VERB
fcis-31302	249	24	high	high	ADJ
fcis-31302	249	25	temporal	temporal	ADJ
fcis-31302	249	26	resolution	resolution	NOUN
fcis-31302	249	27	,	,	PUNCT
fcis-31302	249	28	but	but	CCONJ
fcis-31302	249	29	limited	limited	ADJ
fcis-31302	249	30	coverage	coverage	NOUN
fcis-31302	249	31	[	[	X
fcis-31302	249	32	6	6	NUM
fcis-31302	249	33	]	]	PUNCT
fcis-31302	249	34	.	.	PUNCT
fcis-31302	250	1	modal	modal	ADJ
fcis-31302	250	2	loss	loss	NOUN
fcis-31302	250	3	is	be	AUX
fcis-31302	250	4	particularly	particularly	ADV
fcis-31302	250	5	common	common	ADJ
fcis-31302	250	6	in	in	ADP
fcis-31302	250	7	disaster	disaster	NOUN
fcis-31302	250	8	scenarios	scenario	NOUN
fcis-31302	250	9	,	,	PUNCT
fcis-31302	250	10	such	such	ADJ
fcis-31302	250	11	as	as	ADP
fcis-31302	250	12	adverse	adverse	ADJ
fcis-31302	250	13	weather	weather	NOUN
fcis-31302	250	14	conditions	condition	NOUN
fcis-31302	250	15	that	that	PRON
fcis-31302	250	16	may	may	AUX
fcis-31302	250	17	result	result	VERB
fcis-31302	250	18	in	in	ADP
fcis-31302	250	19	unavailable	unavailable	ADJ
fcis-31302	250	20	remote	remote	ADJ
fcis-31302	250	21	sensing	sense	VERB
fcis-31302	250	22	data	datum	NOUN
fcis-31302	250	23	,	,	PUNCT
fcis-31302	250	24	and	and	CCONJ
fcis-31302	250	25	equipment	equipment	NOUN
fcis-31302	250	26	failures	failure	NOUN
fcis-31302	250	27	that	that	PRON
fcis-31302	250	28	may	may	AUX
fcis-31302	250	29	lead	lead	VERB
fcis-31302	250	30	to	to	ADP
fcis-31302	250	31	sensor	sensor	VERB
fcis-31302	250	32	data	datum	NOUN
fcis-31302	250	33	loss	loss	NOUN
fcis-31302	250	34	[	[	X
fcis-31302	250	35	10	10	NUM
fcis-31302	250	36	]	]	PUNCT
fcis-31302	250	37	.	.	PUNCT
fcis-31302	251	1	these	these	DET
fcis-31302	251	2	issues	issue	NOUN
fcis-31302	251	3	make	make	VERB
fcis-31302	251	4	it	it	PRON
fcis-31302	251	5	difficult	difficult	ADJ
fcis-31302	251	6	for	for	SCONJ
fcis-31302	251	7	fusion	fusion	NOUN
fcis-31302	251	8	models	model	NOUN
fcis-31302	251	9	to	to	PART
fcis-31302	251	10	effectively	effectively	ADV
fcis-31302	251	11	integrate	integrate	VERB
fcis-31302	251	12	information	information	NOUN
fcis-31302	251	13	,	,	PUNCT
fcis-31302	251	14	affecting	affect	VERB
fcis-31302	251	15	monitoring	monitoring	NOUN
fcis-31302	251	16	accuracy	accuracy	NOUN
fcis-31302	251	17	and	and	CCONJ
fcis-31302	251	18	warning	warning	NOUN
fcis-31302	251	19	reliability	reliability	NOUN
fcis-31302	251	20	.	.	PUNCT
fcis-31302	252	1	the	the	DET
fcis-31302	252	2	main	main	ADJ
fcis-31302	252	3	solutions	solution	NOUN
fcis-31302	252	4	are	be	AUX
fcis-31302	252	5	:	:	PUNCT
fcis-31302	252	6	(	(	PUNCT
fcis-31302	252	7	1	1	X
fcis-31302	252	8	)	)	PUNCT
fcis-31302	252	9	cross	cross	NOUN
fcis-31302	252	10	modal	modal	ADJ
fcis-31302	252	11	alignment	alignment	NOUN
fcis-31302	252	12	technique	technique	NOUN
fcis-31302	252	13	:	:	PUNCT
fcis-31302	252	14	by	by	ADP
fcis-31302	252	15	constructing	construct	VERB
fcis-31302	252	16	a	a	DET
fcis-31302	252	17	unified	unified	ADJ
fcis-31302	252	18	embedding	embed	VERB
fcis-31302	252	19	space	space	NOUN
fcis-31302	252	20	,	,	PUNCT
fcis-31302	252	21	different	different	ADJ
fcis-31302	252	22	modal	modal	ADJ
fcis-31302	252	23	data	datum	NOUN
fcis-31302	252	24	are	be	AUX
fcis-31302	252	25	mapped	map	VERB
fcis-31302	252	26	to	to	ADP
fcis-31302	252	27	a	a	DET
fcis-31302	252	28	consistent	consistent	ADJ
fcis-31302	252	29	representation	representation	NOUN
fcis-31302	252	30	.	.	PUNCT
fcis-31302	253	1	the	the	DET
fcis-31302	253	2	multimodal	multimodal	NOUN
fcis-31302	253	3	autoencoder	autoencoder	NOUN
fcis-31302	253	4	(	(	PUNCT
fcis-31302	253	5	mae	mae	PROPN
fcis-31302	253	6	)	)	PUNCT
fcis-31302	253	7	proposed	propose	VERB
fcis-31302	253	8	by	by	ADP
fcis-31302	253	9	ngiam	ngiam	PROPN
fcis-31302	253	10	maps	map	NOUN
fcis-31302	253	11	image	image	NOUN
fcis-31302	253	12	and	and	CCONJ
fcis-31302	253	13	text	text	NOUN
fcis-31302	253	14	data	datum	NOUN
fcis-31302	253	15	to	to	ADP
fcis-31302	253	16	a	a	DET
fcis-31302	253	17	shared	share	VERB
fcis-31302	253	18	embedding	embed	VERB
fcis-31302	253	19	space	space	NOUN
fcis-31302	253	20	through	through	ADP
fcis-31302	253	21	joint	joint	ADJ
fcis-31302	253	22	training	training	NOUN
fcis-31302	253	23	,	,	PUNCT
fcis-31302	253	24	alleviating	alleviate	VERB
fcis-31302	253	25	the	the	DET
fcis-31302	253	26	problem	problem	NOUN
fcis-31302	253	27	of	of	ADP
fcis-31302	253	28	heterogeneity	heterogeneity	NOUN
fcis-31302	253	29	[	[	X
fcis-31302	253	30	17	17	NUM
fcis-31302	253	31	]	]	PUNCT
fcis-31302	253	32	.	.	PUNCT
fcis-31302	254	1	in	in	ADP
fcis-31302	254	2	recent	recent	ADJ
fcis-31302	254	3	years	year	NOUN
fcis-31302	254	4	,	,	PUNCT
fcis-31302	254	5	research	research	NOUN
fcis-31302	254	6	has	have	AUX
fcis-31302	254	7	further	far	ADV
fcis-31302	254	8	introduced	introduce	VERB
fcis-31302	254	9	transformer	transformer	NOUN
fcis-31302	254	10	based	base	VERB
fcis-31302	254	11	cross	cross	NOUN
fcis-31302	254	12	modal	modal	ADJ
fcis-31302	254	13	attention	attention	NOUN
fcis-31302	254	14	mechanisms	mechanism	NOUN
fcis-31302	254	15	,	,	PUNCT
fcis-31302	254	16	dynamically	dynamically	ADV
fcis-31302	254	17	weighting	weight	VERB
fcis-31302	254	18	features	feature	NOUN
fcis-31302	254	19	of	of	ADP
fcis-31302	254	20	different	different	ADJ
fcis-31302	254	21	modalities	modality	NOUN
fcis-31302	254	22	to	to	PART
fcis-31302	254	23	improve	improve	VERB
fcis-31302	254	24	alignment	alignment	ADJ
fcis-31302	254	25	performance	performance	NOUN
fcis-31302	254	26	[	[	X
fcis-31302	254	27	11	11	NUM
fcis-31302	254	28	]	]	PUNCT
fcis-31302	254	29	.	.	PUNCT
fcis-31302	255	1	(	(	PUNCT
fcis-31302	255	2	2	2	X
fcis-31302	255	3	)	)	PUNCT
fcis-31302	255	4	modal	modal	ADJ
fcis-31302	255	5	missing	miss	VERB
fcis-31302	255	6	processing	processing	NOUN
fcis-31302	255	7	:	:	PUNCT
fcis-31302	255	8	generative	generative	ADJ
fcis-31302	255	9	adversarial	adversarial	ADJ
fcis-31302	255	10	networks	network	NOUN
fcis-31302	255	11	(	(	PUNCT
fcis-31302	255	12	gans	gan	NOUN
fcis-31302	255	13	)	)	PUNCT
fcis-31302	255	14	and	and	CCONJ
fcis-31302	255	15	variational	variational	ADJ
fcis-31302	255	16	autoencoders	autoencoder	NOUN
fcis-31302	255	17	(	(	PUNCT
fcis-31302	255	18	vaes	vaes	ADJ
fcis-31302	255	19	)	)	PUNCT
fcis-31302	255	20	are	be	AUX
fcis-31302	255	21	widely	widely	ADV
fcis-31302	255	22	used	use	VERB
fcis-31302	255	23	to	to	PART
fcis-31302	255	24	fill	fill	VERB
fcis-31302	255	25	missing	missing	ADJ
fcis-31302	255	26	modal	modal	ADJ
fcis-31302	255	27	data	datum	NOUN
fcis-31302	255	28	.	.	PUNCT
fcis-31302	256	1	zhang	zhang	PROPN
fcis-31302	256	2	proposed	propose	VERB
fcis-31302	256	3	a	a	DET
fcis-31302	256	4	multimodal	multimodal	ADJ
fcis-31302	256	5	data	datum	NOUN
fcis-31302	256	6	augmentation	augmentation	NOUN
fcis-31302	256	7	method	method	NOUN
fcis-31302	256	8	based	base	VERB
fcis-31302	256	9	on	on	ADP
fcis-31302	256	10	gan	gan	PROPN
fcis-31302	256	11	,	,	PUNCT
fcis-31302	256	12	which	which	PRON
fcis-31302	256	13	enhances	enhance	VERB
fcis-31302	256	14	the	the	DET
fcis-31302	256	15	robustness	robustness	NOUN
fcis-31302	256	16	of	of	ADP
fcis-31302	256	17	flood	flood	NOUN
fcis-31302	256	18	monitoring	monitoring	NOUN
fcis-31302	256	19	models	model	NOUN
fcis-31302	256	20	by	by	ADP
fcis-31302	256	21	generating	generate	VERB
fcis-31302	256	22	missing	miss	VERB
fcis-31302	256	23	remote	remote	ADJ
fcis-31302	256	24	sensing	sense	VERB
fcis-31302	256	25	image	image	NOUN
fcis-31302	256	26	data	datum	NOUN
fcis-31302	256	27	.	.	PUNCT
fcis-31302	257	1	incremental	incremental	ADJ
fcis-31302	257	2	learning	learning	NOUN
fcis-31302	257	3	techniques	technique	NOUN
fcis-31302	257	4	adapt	adapt	VERB
fcis-31302	257	5	to	to	ADP
fcis-31302	257	6	scenarios	scenario	NOUN
fcis-31302	257	7	where	where	SCONJ
fcis-31302	257	8	some	some	DET
fcis-31302	257	9	modalities	modality	NOUN
fcis-31302	257	10	are	be	AUX
fcis-31302	257	11	missing	miss	VERB
fcis-31302	257	12	by	by	ADP
fcis-31302	257	13	gradually	gradually	ADV
fcis-31302	257	14	updating	update	VERB
fcis-31302	257	15	the	the	DET
fcis-31302	257	16	model	model	NOUN
fcis-31302	257	17	[	[	X
fcis-31302	257	18	16	16	NUM
fcis-31302	257	19	]	]	PUNCT
fcis-31302	257	20	.	.	PUNCT
fcis-31302	258	1	(	(	PUNCT
fcis-31302	258	2	3	3	X
fcis-31302	258	3	)	)	PUNCT
fcis-31302	258	4	multi	multi	ADJ
fcis-31302	258	5	scale	scale	NOUN
fcis-31302	258	6	fusion	fusion	NOUN
fcis-31302	258	7	:	:	PUNCT
fcis-31302	258	8	researchers	researcher	NOUN
fcis-31302	258	9	have	have	AUX
fcis-31302	258	10	developed	develop	VERB
fcis-31302	258	11	multiscale	multiscale	ADJ
fcis-31302	258	12	fusion	fusion	NOUN
fcis-31302	258	13	methods	method	NOUN
fcis-31302	258	14	,	,	PUNCT
fcis-31302	258	15	such	such	ADJ
fcis-31302	258	16	as	as	ADP
fcis-31302	258	17	multi	multi	ADJ
fcis-31302	258	18	-	-	ADJ
fcis-31302	258	19	resolution	resolution	NOUN
fcis-31302	258	20	analysis	analysis	NOUN
fcis-31302	258	21	and	and	CCONJ
fcis-31302	258	22	hierarchical	hierarchical	ADJ
fcis-31302	258	23	feature	feature	NOUN
fcis-31302	258	24	extraction	extraction	NOUN
fcis-31302	258	25	,	,	PUNCT
fcis-31302	258	26	to	to	PART
fcis-31302	258	27	unify	unify	VERB
fcis-31302	258	28	spatial	spatial	ADJ
fcis-31302	258	29	and	and	CCONJ
fcis-31302	258	30	temporal	temporal	ADJ
fcis-31302	258	31	scales	scale	NOUN
fcis-31302	258	32	based	base	VERB
fcis-31302	258	33	on	on	ADP
fcis-31302	258	34	the	the	DET
fcis-31302	258	35	resolution	resolution	NOUN
fcis-31302	258	36	differences	difference	NOUN
fcis-31302	258	37	of	of	ADP
fcis-31302	258	38	different	different	ADJ
fcis-31302	258	39	modalities	modality	NOUN
fcis-31302	258	40	[	[	X
fcis-31302	258	41	2	2	NUM
fcis-31302	258	42	]	]	PUNCT
fcis-31302	258	43	.	.	PUNCT
fcis-31302	259	1	5.2	5.2	NUM
fcis-31302	259	2	.	.	PUNCT
fcis-31302	259	3	computational	computational	ADJ
fcis-31302	259	4	complexity	complexity	NOUN
fcis-31302	259	5	and	and	CCONJ
fcis-31302	259	6	real	real	ADJ
fcis-31302	259	7	-	-	PUNCT
fcis-31302	259	8	time	time	NOUN
fcis-31302	259	9	requirements	requirement	NOUN
fcis-31302	259	10	natural	natural	ADJ
fcis-31302	259	11	disaster	disaster	NOUN
fcis-31302	259	12	monitoring	monitoring	NOUN
fcis-31302	259	13	requires	require	VERB
fcis-31302	259	14	extremely	extremely	ADV
fcis-31302	259	15	high	high	ADJ
fcis-31302	259	16	realtime	realtime	NOUN
fcis-31302	259	17	performance	performance	NOUN
fcis-31302	259	18	,	,	PUNCT
fcis-31302	259	19	and	and	CCONJ
fcis-31302	259	20	early	early	ADJ
fcis-31302	259	21	warning	warning	NOUN
fcis-31302	259	22	systems	system	NOUN
fcis-31302	259	23	need	need	VERB
fcis-31302	259	24	to	to	PART
fcis-31302	259	25	complete	complete	VERB
fcis-31302	259	26	data	datum	NOUN
fcis-31302	259	27	processing	processing	NOUN
fcis-31302	259	28	and	and	CCONJ
fcis-31302	259	29	decision	decision	NOUN
fcis-31302	259	30	-	-	PUNCT
fcis-31302	259	31	making	making	NOUN
fcis-31302	259	32	within	within	ADP
fcis-31302	259	33	seconds	second	NOUN
fcis-31302	259	34	to	to	ADP
fcis-31302	259	35	minutes	minute	NOUN
fcis-31302	259	36	.	.	PUNCT
fcis-31302	260	1	however	however	ADV
fcis-31302	260	2	,	,	PUNCT
fcis-31302	260	3	multimodal	multimodal	ADJ
fcis-31302	260	4	fusion	fusion	NOUN
fcis-31302	260	5	models	model	NOUN
fcis-31302	260	6	typically	typically	ADV
fcis-31302	260	7	have	have	VERB
fcis-31302	260	8	high	high	ADJ
fcis-31302	260	9	computational	computational	ADJ
fcis-31302	260	10	complexity	complexity	NOUN
fcis-31302	260	11	,	,	PUNCT
fcis-31302	260	12	especially	especially	ADV
fcis-31302	260	13	when	when	SCONJ
fcis-31302	260	14	dealing	deal	VERB
fcis-31302	260	15	with	with	ADP
fcis-31302	260	16	high	high	ADJ
fcis-31302	260	17	-	-	PUNCT
fcis-31302	260	18	resolution	resolution	NOUN
fcis-31302	260	19	images	image	NOUN
fcis-31302	260	20	or	or	CCONJ
fcis-31302	260	21	large	large	ADJ
fcis-31302	260	22	-	-	PUNCT
fcis-31302	260	23	scale	scale	NOUN
fcis-31302	260	24	time	time	NOUN
fcis-31302	260	25	series	series	PROPN
fcis-31302	260	26	data	data	PROPN
fcis-31302	260	27	.	.	PUNCT
fcis-31302	261	1	transformer	transformer	NOUN
fcis-31302	261	2	based	base	VERB
fcis-31302	261	3	multimodal	multimodal	NOUN
fcis-31302	261	4	models	model	NOUN
fcis-31302	261	5	require	require	VERB
fcis-31302	261	6	a	a	DET
fcis-31302	261	7	large	large	ADJ
fcis-31302	261	8	amount	amount	NOUN
fcis-31302	261	9	of	of	ADP
fcis-31302	261	10	computing	compute	VERB
fcis-31302	261	11	resources	resource	NOUN
fcis-31302	261	12	during	during	ADP
fcis-31302	261	13	training	training	NOUN
fcis-31302	261	14	and	and	CCONJ
fcis-31302	261	15	inference	inference	NOUN
fcis-31302	261	16	stages	stage	NOUN
fcis-31302	261	17	,	,	PUNCT
fcis-31302	261	18	making	make	VERB
fcis-31302	261	19	it	it	PRON
fcis-31302	261	20	difficult	difficult	ADJ
fcis-31302	261	21	to	to	PART
fcis-31302	261	22	deploy	deploy	VERB
fcis-31302	261	23	on	on	ADP
fcis-31302	261	24	resource	resource	NOUN
fcis-31302	261	25	constrained	constrain	VERB
fcis-31302	261	26	edge	edge	NOUN
fcis-31302	261	27	devices	device	NOUN
fcis-31302	261	28	[	[	X
fcis-31302	261	29	14	14	NUM
fcis-31302	261	30	]	]	PUNCT
fcis-31302	261	31	.	.	PUNCT
fcis-31302	262	1	real	real	ADJ
fcis-31302	262	2	time	time	NOUN
fcis-31302	262	3	data	data	NOUN
fcis-31302	262	4	transmission	transmission	NOUN
fcis-31302	262	5	may	may	AUX
fcis-31302	262	6	be	be	AUX
fcis-31302	262	7	hindered	hinder	VERB
fcis-31302	262	8	by	by	ADP
fcis-31302	262	9	network	network	NOUN
fcis-31302	262	10	latency	latency	NOUN
fcis-31302	262	11	,	,	PUNCT
fcis-31302	262	12	especially	especially	ADV
fcis-31302	262	13	in	in	ADP
fcis-31302	262	14	remote	remote	ADJ
fcis-31302	262	15	areas	area	NOUN
fcis-31302	262	16	or	or	CCONJ
fcis-31302	262	17	when	when	SCONJ
fcis-31302	262	18	infrastructure	infrastructure	NOUN
fcis-31302	262	19	is	be	AUX
fcis-31302	262	20	damaged	damage	VERB
fcis-31302	262	21	due	due	ADJ
fcis-31302	262	22	to	to	ADP
fcis-31302	262	23	disasters	disaster	NOUN
fcis-31302	262	24	.	.	PUNCT
fcis-31302	263	1	the	the	DET
fcis-31302	263	2	main	main	ADJ
fcis-31302	263	3	solutions	solution	NOUN
fcis-31302	263	4	are	be	AUX
fcis-31302	263	5	:	:	PUNCT
fcis-31302	263	6	(	(	PUNCT
fcis-31302	263	7	1	1	X
fcis-31302	263	8	)	)	PUNCT
fcis-31302	263	9	edge	edge	NOUN
fcis-31302	263	10	computing	computing	NOUN
fcis-31302	263	11	and	and	CCONJ
fcis-31302	263	12	cloud	cloud	NOUN
fcis-31302	263	13	edge	edge	NOUN
fcis-31302	263	14	collaboration	collaboration	NOUN
fcis-31302	263	15	:	:	PUNCT
fcis-31302	263	16	edge	edge	NOUN
fcis-31302	263	17	computing	computing	NOUN
fcis-31302	263	18	significantly	significantly	ADV
fcis-31302	263	19	reduces	reduce	VERB
fcis-31302	263	20	latency	latency	NOUN
fcis-31302	263	21	by	by	ADP
fcis-31302	263	22	running	run	VERB
fcis-31302	263	23	lightweight	lightweight	ADJ
fcis-31302	263	24	models	model	NOUN
fcis-31302	263	25	on	on	ADP
fcis-31302	263	26	devices	device	NOUN
fcis-31302	263	27	close	close	ADJ
fcis-31302	263	28	to	to	ADP
fcis-31302	263	29	data	datum	NOUN
fcis-31302	263	30	sources	source	NOUN
fcis-31302	263	31	.	.	PUNCT
fcis-31302	264	1	leyva	leyva	PROPN
fcis-31302	264	2	proposed	propose	VERB
fcis-31302	264	3	a	a	DET
fcis-31302	264	4	multimodal	multimodal	ADJ
fcis-31302	264	5	flood	flood	NOUN
fcis-31302	264	6	monitoring	monitoring	NOUN
fcis-31302	264	7	system	system	NOUN
fcis-31302	264	8	based	base	VERB
fcis-31302	264	9	on	on	ADP
fcis-31302	264	10	edge	edge	NOUN
fcis-31302	264	11	computing	computing	NOUN
fcis-31302	264	12	.	.	PUNCT
fcis-31302	265	1	the	the	DET
fcis-31302	265	2	compressed	compress	VERB
fcis-31302	265	3	cnn	cnn	PROPN
fcis-31302	265	4	model	model	NOUN
fcis-31302	265	5	is	be	AUX
fcis-31302	265	6	deployed	deploy	VERB
fcis-31302	265	7	on	on	ADP
fcis-31302	265	8	the	the	DET
fcis-31302	265	9	sensor	sensor	NOUN
fcis-31302	265	10	node	node	NOUN
fcis-31302	265	11	to	to	PART
fcis-31302	265	12	achieve	achieve	VERB
fcis-31302	265	13	real	real	ADJ
fcis-31302	265	14	-	-	PUNCT
fcis-31302	265	15	time	time	NOUN
fcis-31302	265	16	data	datum	NOUN
fcis-31302	265	17	processing	processing	NOUN
fcis-31302	265	18	[	[	X
fcis-31302	265	19	14	14	NUM
fcis-31302	265	20	]	]	PUNCT
fcis-31302	265	21	.	.	PUNCT
fcis-31302	266	1	cloud	cloud	NOUN
fcis-31302	266	2	edge	edge	NOUN
fcis-31302	266	3	collaboration	collaboration	NOUN
fcis-31302	266	4	architecture	architecture	NOUN
fcis-31302	266	5	combines	combine	VERB
fcis-31302	266	6	the	the	DET
fcis-31302	266	7	high	high	ADJ
fcis-31302	266	8	performance	performance	NOUN
fcis-31302	266	9	of	of	ADP
fcis-31302	266	10	cloud	cloud	NOUN
fcis-31302	266	11	computing	computing	NOUN
fcis-31302	266	12	and	and	CCONJ
fcis-31302	266	13	the	the	DET
fcis-31302	266	14	low	low	ADJ
fcis-31302	266	15	latency	latency	NOUN
fcis-31302	266	16	of	of	ADP
fcis-31302	266	17	edge	edge	NOUN
fcis-31302	266	18	computing	compute	VERB
fcis-31302	266	19	to	to	PART
fcis-31302	266	20	optimize	optimize	VERB
fcis-31302	266	21	large	large	ADJ
fcis-31302	266	22	-	-	PUNCT
fcis-31302	266	23	scale	scale	NOUN
fcis-31302	266	24	data	datum	NOUN
fcis-31302	266	25	processing	processing	NOUN
fcis-31302	266	26	[	[	X
fcis-31302	266	27	11	11	NUM
fcis-31302	266	28	]	]	PUNCT
fcis-31302	266	29	.	.	PUNCT
fcis-31302	267	1	(	(	PUNCT
fcis-31302	267	2	2	2	X
fcis-31302	267	3	)	)	PUNCT
fcis-31302	267	4	model	model	NOUN
fcis-31302	267	5	compression	compression	NOUN
fcis-31302	267	6	techniques	technique	NOUN
fcis-31302	267	7	:	:	PUNCT
fcis-31302	267	8	model	model	NOUN
fcis-31302	267	9	quantification	quantification	NOUN
fcis-31302	267	10	,	,	PUNCT
fcis-31302	267	11	pruning	pruning	NOUN
fcis-31302	267	12	,	,	PUNCT
fcis-31302	267	13	and	and	CCONJ
fcis-31302	267	14	knowledge	knowledge	NOUN
fcis-31302	267	15	distillation	distillation	NOUN
fcis-31302	267	16	are	be	AUX
fcis-31302	267	17	effective	effective	ADJ
fcis-31302	267	18	methods	method	NOUN
fcis-31302	267	19	for	for	ADP
fcis-31302	267	20	reducing	reduce	VERB
fcis-31302	267	21	computational	computational	ADJ
fcis-31302	267	22	complexity	complexity	NOUN
fcis-31302	267	23	.	.	PUNCT
fcis-31302	268	1	the	the	DET
fcis-31302	268	2	model	model	NOUN
fcis-31302	268	3	quantization	quantization	NOUN
fcis-31302	268	4	technique	technique	NOUN
fcis-31302	268	5	proposed	propose	VERB
fcis-31302	268	6	by	by	ADP
fcis-31302	268	7	han	han	PROPN
fcis-31302	268	8	compresses	compress	VERB
fcis-31302	268	9	neural	neural	ADJ
fcis-31302	268	10	network	network	NOUN
fcis-31302	268	11	parameters	parameter	NOUN
fcis-31302	268	12	from	from	ADP
fcis-31302	268	13	32	32	NUM
fcis-31302	268	14	-	-	PUNCT
fcis-31302	268	15	bit	bit	NOUN
fcis-31302	268	16	floating	float	VERB
fcis-31302	268	17	-	-	PUNCT
fcis-31302	268	18	point	point	NOUN
fcis-31302	268	19	to	to	ADP
fcis-31302	268	20	8	8	NUM
fcis-31302	268	21	-	-	PUNCT
fcis-31302	268	22	bit	bit	NOUN
fcis-31302	268	23	integers	integer	NOUN
fcis-31302	268	24	,	,	PUNCT
fcis-31302	268	25	significantly	significantly	ADV
fcis-31302	268	26	reducing	reduce	VERB
fcis-31302	268	27	inference	inference	NOUN
fcis-31302	268	28	time	time	NOUN
fcis-31302	268	29	and	and	CCONJ
fcis-31302	268	30	suitable	suitable	ADJ
fcis-31302	268	31	for	for	ADP
fcis-31302	268	32	scenarios	scenario	NOUN
fcis-31302	268	33	such	such	ADJ
fcis-31302	268	34	as	as	ADP
fcis-31302	268	35	earthquake	earthquake	NOUN
fcis-31302	268	36	warning	warn	VERB
fcis-31302	268	37	[	[	X
fcis-31302	268	38	18	18	NUM
fcis-31302	268	39	]	]	PUNCT
fcis-31302	268	40	.	.	PUNCT
fcis-31302	269	1	sghaier	sghaier	PROPN
fcis-31302	269	2	optimized	optimize	VERB
fcis-31302	269	3	the	the	DET
fcis-31302	269	4	multimodal	multimodal	ADJ
fcis-31302	269	5	fusion	fusion	NOUN
fcis-31302	269	6	model	model	NOUN
fcis-31302	269	7	through	through	ADP
fcis-31302	269	8	pruning	prune	VERB
fcis-31302	269	9	techniques	technique	NOUN
fcis-31302	269	10	,	,	PUNCT
fcis-31302	269	11	enabling	enable	VERB
fcis-31302	269	12	it	it	PRON
fcis-31302	269	13	to	to	PART
fcis-31302	269	14	run	run	VERB
fcis-31302	269	15	efficiently	efficiently	ADV
fcis-31302	269	16	on	on	ADP
fcis-31302	269	17	edge	edge	NOUN
fcis-31302	269	18	devices	device	NOUN
fcis-31302	269	19	[	[	X
fcis-31302	269	20	2	2	NUM
fcis-31302	269	21	]	]	PUNCT
fcis-31302	269	22	.	.	PUNCT
fcis-31302	270	1	(	(	PUNCT
fcis-31302	270	2	3	3	X
fcis-31302	270	3	)	)	PUNCT
fcis-31302	270	4	efficient	efficient	ADJ
fcis-31302	270	5	algorithm	algorithm	NOUN
fcis-31302	270	6	design	design	NOUN
fcis-31302	270	7	:	:	PUNCT
fcis-31302	270	8	lightweight	lightweight	ADJ
fcis-31302	270	9	models	model	NOUN
fcis-31302	270	10	and	and	CCONJ
fcis-31302	270	11	efficient	efficient	ADJ
fcis-31302	270	12	attention	attention	NOUN
fcis-31302	270	13	mechanisms	mechanism	NOUN
fcis-31302	270	14	reduce	reduce	VERB
fcis-31302	270	15	computational	computational	ADJ
fcis-31302	270	16	requirements	requirement	NOUN
fcis-31302	270	17	while	while	SCONJ
fcis-31302	270	18	maintaining	maintain	VERB
fcis-31302	270	19	performance	performance	NOUN
fcis-31302	270	20	.	.	PUNCT
fcis-31302	271	1	wu	wu	PROPN
fcis-31302	271	2	proposed	propose	VERB
fcis-31302	271	3	a	a	DET
fcis-31302	271	4	lightweight	lightweight	ADJ
fcis-31302	271	5	fusion	fusion	NOUN
fcis-31302	271	6	model	model	NOUN
fcis-31302	271	7	based	base	VERB
fcis-31302	271	8	on	on	ADP
fcis-31302	271	9	graph	graph	NOUN
fcis-31302	271	10	neural	neural	ADJ
fcis-31302	271	11	network	network	NOUN
fcis-31302	271	12	(	(	PUNCT
fcis-31302	271	13	gnn	gnn	PROPN
fcis-31302	271	14	)	)	PUNCT
fcis-31302	271	15	,	,	PUNCT
fcis-31302	271	16	which	which	PRON
fcis-31302	271	17	reduces	reduce	VERB
fcis-31302	271	18	computational	computational	ADJ
fcis-31302	271	19	overhead	overhead	NOUN
fcis-31302	271	20	by	by	ADP
fcis-31302	271	21	sparsifying	sparsifye	VERB
fcis-31302	271	22	modal	modal	ADJ
fcis-31302	271	23	relationship	relationship	NOUN
fcis-31302	271	24	graphs	graph	NOUN
fcis-31302	271	25	[	[	X
fcis-31302	271	26	13	13	NUM
fcis-31302	271	27	]	]	PUNCT
fcis-31302	271	28	.	.	PUNCT
fcis-31302	272	1	9	9	NUM
fcis-31302	272	2	5.3	5.3	NUM
fcis-31302	272	3	.	.	PUNCT
fcis-31302	273	1	insufficient	insufficient	ADJ
fcis-31302	273	2	generalization	generalization	NOUN
fcis-31302	273	3	ability	ability	NOUN
fcis-31302	273	4	of	of	ADP
fcis-31302	273	5	the	the	DET
fcis-31302	273	6	model	model	NOUN
fcis-31302	273	7	the	the	DET
fcis-31302	273	8	generalization	generalization	NOUN
fcis-31302	273	9	ability	ability	NOUN
fcis-31302	273	10	of	of	ADP
fcis-31302	273	11	multimodal	multimodal	NOUN
fcis-31302	273	12	fusion	fusion	NOUN
fcis-31302	273	13	models	model	NOUN
fcis-31302	273	14	is	be	AUX
fcis-31302	273	15	often	often	ADV
fcis-31302	273	16	insufficient	insufficient	ADJ
fcis-31302	273	17	under	under	ADP
fcis-31302	273	18	different	different	ADJ
fcis-31302	273	19	types	type	NOUN
fcis-31302	273	20	of	of	ADP
fcis-31302	273	21	disasters	disaster	NOUN
fcis-31302	273	22	,	,	PUNCT
fcis-31302	273	23	geographical	geographical	ADJ
fcis-31302	273	24	regions	region	NOUN
fcis-31302	273	25	,	,	PUNCT
fcis-31302	273	26	and	and	CCONJ
fcis-31302	273	27	environmental	environmental	ADJ
fcis-31302	273	28	conditions	condition	NOUN
fcis-31302	273	29	.	.	PUNCT
fcis-31302	274	1	qin	qin	PROPN
fcis-31302	274	2	's	's	PART
fcis-31302	274	3	typhoon	typhoon	NOUN
fcis-31302	274	4	path	path	NOUN
fcis-31302	274	5	prediction	prediction	NOUN
fcis-31302	274	6	model	model	NOUN
fcis-31302	274	7	performs	perform	VERB
fcis-31302	274	8	well	well	ADV
fcis-31302	274	9	in	in	ADP
fcis-31302	274	10	the	the	DET
fcis-31302	274	11	east	east	ADJ
fcis-31302	274	12	asian	asian	ADJ
fcis-31302	274	13	waters	water	NOUN
fcis-31302	274	14	,	,	PUNCT
fcis-31302	274	15	but	but	CCONJ
fcis-31302	274	16	needs	need	VERB
fcis-31302	274	17	to	to	PART
fcis-31302	274	18	be	be	AUX
fcis-31302	274	19	retrained	retrain	VERB
fcis-31302	274	20	in	in	ADP
fcis-31302	274	21	other	other	ADJ
fcis-31302	274	22	waters	water	NOUN
fcis-31302	274	23	,	,	PUNCT
fcis-31302	274	24	limiting	limit	VERB
fcis-31302	274	25	its	its	PRON
fcis-31302	274	26	global	global	ADJ
fcis-31302	274	27	applicability	applicability	NOUN
fcis-31302	274	28	[	[	X
fcis-31302	274	29	8	8	NUM
fcis-31302	274	30	]	]	PUNCT
fcis-31302	274	31	.	.	PUNCT
fcis-31302	275	1	the	the	DET
fcis-31302	275	2	dynamic	dynamic	ADJ
fcis-31302	275	3	changes	change	NOUN
fcis-31302	275	4	in	in	ADP
fcis-31302	275	5	disaster	disaster	NOUN
fcis-31302	275	6	scenarios	scenario	NOUN
fcis-31302	275	7	,	,	PUNCT
fcis-31302	275	8	such	such	ADJ
fcis-31302	275	9	as	as	ADP
fcis-31302	275	10	terrain	terrain	NOUN
fcis-31302	275	11	and	and	CCONJ
fcis-31302	275	12	climate	climate	NOUN
fcis-31302	275	13	,	,	PUNCT
fcis-31302	275	14	further	far	ADV
fcis-31302	275	15	exacerbate	exacerbate	VERB
fcis-31302	275	16	the	the	DET
fcis-31302	275	17	generalization	generalization	NOUN
fcis-31302	275	18	problem	problem	NOUN
fcis-31302	275	19	,	,	PUNCT
fcis-31302	275	20	leading	lead	VERB
fcis-31302	275	21	to	to	ADP
fcis-31302	275	22	a	a	DET
fcis-31302	275	23	decline	decline	NOUN
fcis-31302	275	24	in	in	ADP
fcis-31302	275	25	model	model	NOUN
fcis-31302	275	26	performance	performance	NOUN
fcis-31302	275	27	on	on	ADP
fcis-31302	275	28	unseen	unseen	ADJ
fcis-31302	275	29	data	datum	NOUN
fcis-31302	275	30	[	[	X
fcis-31302	275	31	6	6	NUM
fcis-31302	275	32	]	]	PUNCT
fcis-31302	275	33	.	.	PUNCT
fcis-31302	276	1	the	the	DET
fcis-31302	276	2	main	main	ADJ
fcis-31302	276	3	solutions	solution	NOUN
fcis-31302	276	4	are	be	AUX
fcis-31302	276	5	:	:	PUNCT
fcis-31302	276	6	(	(	PUNCT
fcis-31302	276	7	1	1	X
fcis-31302	276	8	)	)	PUNCT
fcis-31302	276	9	transfer	transfer	NOUN
fcis-31302	276	10	learning	learning	NOUN
fcis-31302	276	11	and	and	CCONJ
fcis-31302	276	12	domain	domain	NOUN
fcis-31302	276	13	adaptation	adaptation	NOUN
fcis-31302	276	14	:	:	PUNCT
fcis-31302	276	15	transfer	transfer	NOUN
fcis-31302	276	16	learning	learning	NOUN
fcis-31302	276	17	transfers	transfer	NOUN
fcis-31302	276	18	model	model	NOUN
fcis-31302	276	19	knowledge	knowledge	NOUN
fcis-31302	276	20	from	from	ADP
fcis-31302	276	21	one	one	NUM
fcis-31302	276	22	scenario	scenario	NOUN
fcis-31302	276	23	to	to	ADP
fcis-31302	276	24	another	another	PRON
fcis-31302	276	25	through	through	ADP
fcis-31302	276	26	pre	pre	ADJ
fcis-31302	276	27	training	training	NOUN
fcis-31302	276	28	models	model	NOUN
fcis-31302	276	29	and	and	CCONJ
fcis-31302	276	30	fine	fine	ADV
fcis-31302	276	31	-	-	PUNCT
fcis-31302	276	32	tuning	tune	VERB
fcis-31302	276	33	techniques	technique	NOUN
fcis-31302	276	34	.	.	PUNCT
fcis-31302	277	1	mousavi	mousavi	ADJ
fcis-31302	277	2	utilized	utilize	VERB
fcis-31302	277	3	transfer	transfer	NOUN
fcis-31302	277	4	learning	learn	VERB
fcis-31302	277	5	to	to	PART
fcis-31302	277	6	transfer	transfer	VERB
fcis-31302	277	7	earthquake	earthquake	NOUN
fcis-31302	277	8	detection	detection	NOUN
fcis-31302	277	9	models	model	NOUN
fcis-31302	277	10	from	from	ADP
fcis-31302	277	11	the	the	DET
fcis-31302	277	12	california	california	PROPN
fcis-31302	277	13	dataset	dataset	VERB
fcis-31302	277	14	to	to	ADP
fcis-31302	277	15	the	the	DET
fcis-31302	277	16	japanese	japanese	ADJ
fcis-31302	277	17	dataset	dataset	NOUN
fcis-31302	277	18	,	,	PUNCT
fcis-31302	277	19	significantly	significantly	ADV
fcis-31302	277	20	improving	improve	VERB
fcis-31302	277	21	generalization	generalization	NOUN
fcis-31302	277	22	performance	performance	NOUN
fcis-31302	277	23	[	[	X
fcis-31302	277	24	20	20	NUM
fcis-31302	277	25	]	]	PUNCT
fcis-31302	277	26	.	.	PUNCT
fcis-31302	278	1	domain	domain	NOUN
fcis-31302	278	2	adaptation	adaptation	NOUN
fcis-31302	278	3	methods	method	NOUN
fcis-31302	278	4	further	far	ADV
fcis-31302	278	5	enhance	enhance	VERB
fcis-31302	278	6	model	model	NOUN
fcis-31302	278	7	adaptability	adaptability	NOUN
fcis-31302	278	8	by	by	ADP
fcis-31302	278	9	aligning	align	VERB
fcis-31302	278	10	the	the	DET
fcis-31302	278	11	feature	feature	NOUN
fcis-31302	278	12	distributions	distribution	NOUN
fcis-31302	278	13	of	of	ADP
fcis-31302	278	14	the	the	DET
fcis-31302	278	15	source	source	NOUN
fcis-31302	278	16	and	and	CCONJ
fcis-31302	278	17	target	target	NOUN
fcis-31302	278	18	domains	domain	NOUN
fcis-31302	278	19	[	[	X
fcis-31302	278	20	11	11	NUM
fcis-31302	278	21	]	]	PUNCT
fcis-31302	278	22	.	.	PUNCT
fcis-31302	279	1	(	(	PUNCT
fcis-31302	279	2	2	2	X
fcis-31302	279	3	)	)	PUNCT
fcis-31302	279	4	zero	zero	NUM
fcis-31302	279	5	sample	sample	NOUN
fcis-31302	279	6	and	and	CCONJ
fcis-31302	279	7	few	few	ADJ
fcis-31302	279	8	sample	sample	NOUN
fcis-31302	279	9	learning	learning	NOUN
fcis-31302	279	10	:	:	PUNCT
fcis-31302	279	11	for	for	ADP
fcis-31302	279	12	scenarios	scenario	NOUN
fcis-31302	279	13	with	with	ADP
fcis-31302	279	14	sparse	sparse	ADJ
fcis-31302	279	15	data	datum	NOUN
fcis-31302	279	16	,	,	PUNCT
fcis-31302	279	17	zero	zero	NUM
fcis-31302	279	18	sample	sample	NOUN
fcis-31302	279	19	learning	learning	NOUN
fcis-31302	279	20	predicts	predict	VERB
fcis-31302	279	21	new	new	ADJ
fcis-31302	279	22	disaster	disaster	NOUN
fcis-31302	279	23	types	type	NOUN
fcis-31302	279	24	through	through	ADP
fcis-31302	279	25	semantic	semantic	ADJ
fcis-31302	279	26	embedding	embedding	NOUN
fcis-31302	279	27	,	,	PUNCT
fcis-31302	279	28	while	while	SCONJ
fcis-31302	279	29	few	few	ADJ
fcis-31302	279	30	sample	sample	NOUN
fcis-31302	279	31	learning	learn	VERB
fcis-31302	279	32	quickly	quickly	ADV
fcis-31302	279	33	adapts	adapt	VERB
fcis-31302	279	34	to	to	ADP
fcis-31302	279	35	new	new	ADJ
fcis-31302	279	36	scenarios	scenario	NOUN
fcis-31302	279	37	using	use	VERB
fcis-31302	279	38	a	a	DET
fcis-31302	279	39	small	small	ADJ
fcis-31302	279	40	amount	amount	NOUN
fcis-31302	279	41	of	of	ADP
fcis-31302	279	42	annotated	annotate	VERB
fcis-31302	279	43	data	datum	NOUN
fcis-31302	279	44	.	.	PUNCT
fcis-31302	280	1	ahuja	ahuja	PROPN
fcis-31302	280	2	proposed	propose	VERB
fcis-31302	280	3	a	a	DET
fcis-31302	280	4	flood	flood	NOUN
fcis-31302	280	5	monitoring	monitoring	NOUN
fcis-31302	280	6	model	model	NOUN
fcis-31302	280	7	based	base	VERB
fcis-31302	280	8	on	on	ADP
fcis-31302	280	9	few	few	ADJ
fcis-31302	280	10	sample	sample	NOUN
fcis-31302	280	11	learning	learning	NOUN
fcis-31302	280	12	,	,	PUNCT
fcis-31302	280	13	which	which	PRON
fcis-31302	280	14	adapts	adapt	VERB
fcis-31302	280	15	to	to	ADP
fcis-31302	280	16	the	the	DET
fcis-31302	280	17	flood	flood	NOUN
fcis-31302	280	18	characteristics	characteristic	NOUN
fcis-31302	280	19	of	of	ADP
fcis-31302	280	20	different	different	ADJ
fcis-31302	280	21	regions	region	NOUN
fcis-31302	280	22	[	[	X
fcis-31302	280	23	9	9	NUM
fcis-31302	280	24	]	]	PUNCT
fcis-31302	280	25	.	.	PUNCT
fcis-31302	281	1	(	(	PUNCT
fcis-31302	281	2	3	3	X
fcis-31302	281	3	)	)	PUNCT
fcis-31302	281	4	data	datum	NOUN
fcis-31302	281	5	augmentation	augmentation	NOUN
fcis-31302	281	6	:	:	PUNCT
fcis-31302	281	7	by	by	ADP
fcis-31302	281	8	generating	generate	VERB
fcis-31302	281	9	synthetic	synthetic	ADJ
fcis-31302	281	10	data	datum	NOUN
fcis-31302	281	11	or	or	CCONJ
fcis-31302	281	12	introducing	introduce	VERB
fcis-31302	281	13	external	external	ADJ
fcis-31302	281	14	datasets	dataset	NOUN
fcis-31302	281	15	,	,	PUNCT
fcis-31302	281	16	the	the	DET
fcis-31302	281	17	adaptability	adaptability	NOUN
fcis-31302	281	18	of	of	ADP
fcis-31302	281	19	the	the	DET
fcis-31302	281	20	model	model	NOUN
fcis-31302	281	21	to	to	PART
fcis-31302	281	22	diverse	diverse	VERB
fcis-31302	281	23	scenarios	scenario	NOUN
fcis-31302	281	24	is	be	AUX
fcis-31302	281	25	enhanced	enhance	VERB
fcis-31302	281	26	.	.	PUNCT
fcis-31302	282	1	liu	liu	PROPN
fcis-31302	282	2	utilized	utilize	VERB
fcis-31302	282	3	gan	gan	NOUN
fcis-31302	282	4	to	to	PART
fcis-31302	282	5	generate	generate	VERB
fcis-31302	282	6	diverse	diverse	ADJ
fcis-31302	282	7	remote	remote	ADJ
fcis-31302	282	8	sensing	sensing	NOUN
fcis-31302	282	9	images	image	NOUN
fcis-31302	282	10	,	,	PUNCT
fcis-31302	282	11	enhancing	enhance	VERB
fcis-31302	282	12	the	the	DET
fcis-31302	282	13	model	model	NOUN
fcis-31302	282	14	's	's	PART
fcis-31302	282	15	generalization	generalization	NOUN
fcis-31302	282	16	ability	ability	NOUN
fcis-31302	282	17	under	under	ADP
fcis-31302	282	18	different	different	ADJ
fcis-31302	282	19	climatic	climatic	ADJ
fcis-31302	282	20	conditions	condition	NOUN
fcis-31302	282	21	[	[	X
fcis-31302	282	22	16	16	NUM
fcis-31302	282	23	]	]	PUNCT
fcis-31302	282	24	.	.	PUNCT
fcis-31302	283	1	5.4	5.4	NUM
fcis-31302	283	2	.	.	PUNCT
fcis-31302	283	3	data	datum	NOUN
fcis-31302	283	4	privacy	privacy	NOUN
fcis-31302	283	5	and	and	CCONJ
fcis-31302	283	6	ethical	ethical	ADJ
fcis-31302	283	7	issues	issue	NOUN
fcis-31302	283	8	the	the	DET
fcis-31302	283	9	widespread	widespread	ADJ
fcis-31302	283	10	use	use	NOUN
fcis-31302	283	11	of	of	ADP
fcis-31302	283	12	social	social	ADJ
fcis-31302	283	13	media	medium	NOUN
fcis-31302	283	14	data	datum	NOUN
fcis-31302	283	15	in	in	ADP
fcis-31302	283	16	disaster	disaster	NOUN
fcis-31302	283	17	monitoring	monitoring	NOUN
fcis-31302	283	18	has	have	AUX
fcis-31302	283	19	brought	bring	VERB
fcis-31302	283	20	privacy	privacy	NOUN
fcis-31302	283	21	and	and	CCONJ
fcis-31302	283	22	ethical	ethical	ADJ
fcis-31302	283	23	issues	issue	NOUN
fcis-31302	283	24	.	.	PUNCT
fcis-31302	284	1	user	user	NOUN
fcis-31302	284	2	posts	post	NOUN
fcis-31302	284	3	on	on	ADP
fcis-31302	284	4	twitter	twitter	NOUN
fcis-31302	284	5	or	or	CCONJ
fcis-31302	284	6	weibo	weibo	NOUN
fcis-31302	284	7	may	may	AUX
fcis-31302	284	8	contain	contain	VERB
fcis-31302	284	9	personal	personal	ADJ
fcis-31302	284	10	location	location	NOUN
fcis-31302	284	11	or	or	CCONJ
fcis-31302	284	12	sensitive	sensitive	ADJ
fcis-31302	284	13	information	information	NOUN
fcis-31302	284	14	,	,	PUNCT
fcis-31302	284	15	which	which	PRON
fcis-31302	284	16	may	may	AUX
fcis-31302	284	17	result	result	VERB
fcis-31302	284	18	in	in	ADP
fcis-31302	284	19	privacy	privacy	NOUN
fcis-31302	284	20	breaches	breach	NOUN
fcis-31302	284	21	if	if	SCONJ
fcis-31302	284	22	not	not	PART
fcis-31302	284	23	fully	fully	ADV
fcis-31302	284	24	anonymized	anonymize	VERB
fcis-31302	284	25	[	[	PUNCT
fcis-31302	284	26	9	9	NUM
fcis-31302	284	27	]	]	PUNCT
fcis-31302	284	28	.	.	PUNCT
fcis-31302	285	1	multimodal	multimodal	NOUN
fcis-31302	285	2	data	datum	NOUN
fcis-31302	285	3	sharing	sharing	NOUN
fcis-31302	285	4	may	may	AUX
fcis-31302	285	5	involve	involve	VERB
fcis-31302	285	6	cross	cross	ADJ
fcis-31302	285	7	-	-	ADJ
fcis-31302	285	8	border	border	ADJ
fcis-31302	285	9	or	or	CCONJ
fcis-31302	285	10	cross	cross	VERB
fcis-31302	285	11	organizational	organizational	ADJ
fcis-31302	285	12	data	datum	NOUN
fcis-31302	285	13	privacy	privacy	NOUN
fcis-31302	285	14	regulations	regulation	NOUN
fcis-31302	285	15	,	,	PUNCT
fcis-31302	285	16	such	such	ADJ
fcis-31302	285	17	as	as	ADP
fcis-31302	285	18	gdpr	gdpr	NOUN
fcis-31302	285	19	,	,	PUNCT
fcis-31302	285	20	increasing	increase	VERB
fcis-31302	285	21	the	the	DET
fcis-31302	285	22	complexity	complexity	NOUN
fcis-31302	285	23	of	of	ADP
fcis-31302	285	24	system	system	NOUN
fcis-31302	285	25	design	design	NOUN
fcis-31302	285	26	[	[	X
fcis-31302	285	27	10	10	NUM
fcis-31302	285	28	]	]	PUNCT
fcis-31302	285	29	.	.	PUNCT
fcis-31302	286	1	the	the	DET
fcis-31302	286	2	main	main	ADJ
fcis-31302	286	3	solutions	solution	NOUN
fcis-31302	286	4	are	be	AUX
fcis-31302	286	5	:	:	PUNCT
fcis-31302	286	6	(	(	PUNCT
fcis-31302	286	7	1	1	X
fcis-31302	286	8	)	)	PUNCT
fcis-31302	286	9	federated	federated	ADJ
fcis-31302	286	10	learning	learning	NOUN
fcis-31302	286	11	:	:	PUNCT
fcis-31302	286	12	federated	federated	ADJ
fcis-31302	286	13	learning	learning	NOUN
fcis-31302	286	14	protects	protect	VERB
fcis-31302	286	15	user	user	NOUN
fcis-31302	286	16	privacy	privacy	NOUN
fcis-31302	286	17	by	by	ADP
fcis-31302	286	18	training	training	NOUN
fcis-31302	286	19	models	model	NOUN
fcis-31302	286	20	on	on	ADP
fcis-31302	286	21	local	local	ADJ
fcis-31302	286	22	devices	device	NOUN
fcis-31302	286	23	and	and	CCONJ
fcis-31302	286	24	only	only	ADV
fcis-31302	286	25	transmitting	transmit	VERB
fcis-31302	286	26	model	model	NOUN
fcis-31302	286	27	updates	update	NOUN
fcis-31302	286	28	rather	rather	ADV
fcis-31302	286	29	than	than	ADP
fcis-31302	286	30	raw	raw	ADJ
fcis-31302	286	31	data	datum	NOUN
fcis-31302	286	32	.	.	PUNCT
fcis-31302	287	1	li	li	PROPN
fcis-31302	287	2	proposed	propose	VERB
fcis-31302	287	3	a	a	DET
fcis-31302	287	4	multimodal	multimodal	ADJ
fcis-31302	287	5	disaster	disaster	NOUN
fcis-31302	287	6	response	response	NOUN
fcis-31302	287	7	framework	framework	NOUN
fcis-31302	287	8	based	base	VERB
fcis-31302	287	9	on	on	ADP
fcis-31302	287	10	federated	federated	ADJ
fcis-31302	287	11	learning	learning	NOUN
fcis-31302	287	12	,	,	PUNCT
fcis-31302	287	13	which	which	PRON
fcis-31302	287	14	integrates	integrate	VERB
fcis-31302	287	15	social	social	ADJ
fcis-31302	287	16	media	medium	NOUN
fcis-31302	287	17	and	and	CCONJ
fcis-31302	287	18	sensor	sensor	NOUN
fcis-31302	287	19	data	datum	NOUN
fcis-31302	287	20	through	through	ADP
fcis-31302	287	21	distributed	distribute	VERB
fcis-31302	287	22	training	training	NOUN
fcis-31302	287	23	to	to	PART
fcis-31302	287	24	meet	meet	VERB
fcis-31302	287	25	privacy	privacy	NOUN
fcis-31302	287	26	protection	protection	NOUN
fcis-31302	287	27	needs	need	VERB
fcis-31302	287	28	[	[	X
fcis-31302	287	29	11	11	NUM
fcis-31302	287	30	]	]	PUNCT
fcis-31302	287	31	.	.	PUNCT
fcis-31302	288	1	(	(	PUNCT
fcis-31302	288	2	2	2	X
fcis-31302	288	3	)	)	PUNCT
fcis-31302	288	4	data	datum	NOUN
fcis-31302	288	5	anonymization	anonymization	NOUN
fcis-31302	288	6	:	:	PUNCT
fcis-31302	288	7	reducing	reduce	VERB
fcis-31302	288	8	the	the	DET
fcis-31302	288	9	risk	risk	NOUN
fcis-31302	288	10	of	of	ADP
fcis-31302	288	11	data	datum	NOUN
fcis-31302	288	12	leakage	leakage	NOUN
fcis-31302	288	13	through	through	ADP
fcis-31302	288	14	techniques	technique	NOUN
fcis-31302	288	15	such	such	ADJ
fcis-31302	288	16	as	as	ADP
fcis-31302	288	17	de	de	NOUN
fcis-31302	288	18	identification	identification	NOUN
fcis-31302	288	19	and	and	CCONJ
fcis-31302	288	20	differential	differential	PROPN
fcis-31302	288	21	privacy	privacy	NOUN
fcis-31302	288	22	.	.	PUNCT
fcis-31302	289	1	ahuja	ahuja	PROPN
fcis-31302	289	2	applies	apply	VERB
fcis-31302	289	3	differential	differential	PROPN
fcis-31302	289	4	privacy	privacy	NOUN
fcis-31302	289	5	technology	technology	NOUN
fcis-31302	289	6	to	to	PART
fcis-31302	289	7	twitter	twitter	VERB
fcis-31302	289	8	data	datum	NOUN
fcis-31302	289	9	to	to	PART
fcis-31302	289	10	ensure	ensure	VERB
fcis-31302	289	11	that	that	SCONJ
fcis-31302	289	12	user	user	NOUN
fcis-31302	289	13	identities	identity	NOUN
fcis-31302	289	14	are	be	AUX
fcis-31302	289	15	not	not	PART
fcis-31302	289	16	tracked	track	VERB
fcis-31302	289	17	[	[	PUNCT
fcis-31302	289	18	9	9	NUM
fcis-31302	289	19	]	]	PUNCT
fcis-31302	289	20	.	.	PUNCT
fcis-31302	290	1	(	(	PUNCT
fcis-31302	290	2	3	3	X
fcis-31302	290	3	)	)	PUNCT
fcis-31302	290	4	ethical	ethical	ADJ
fcis-31302	290	5	framework	framework	NOUN
fcis-31302	290	6	and	and	CCONJ
fcis-31302	290	7	regulatory	regulatory	ADJ
fcis-31302	290	8	compliance	compliance	NOUN
fcis-31302	290	9	:	:	PUNCT
fcis-31302	290	10	establish	establish	VERB
fcis-31302	290	11	ethical	ethical	ADJ
fcis-31302	290	12	guidelines	guideline	NOUN
fcis-31302	290	13	for	for	ADP
fcis-31302	290	14	data	datum	NOUN
fcis-31302	290	15	use	use	NOUN
fcis-31302	290	16	,	,	PUNCT
fcis-31302	290	17	following	follow	VERB
fcis-31302	290	18	international	international	ADJ
fcis-31302	290	19	privacy	privacy	NOUN
fcis-31302	290	20	regulations	regulation	NOUN
fcis-31302	290	21	such	such	ADJ
fcis-31302	290	22	as	as	ADP
fcis-31302	290	23	gdpr	gdpr	NOUN
fcis-31302	290	24	and	and	CCONJ
fcis-31302	290	25	ccpa	ccpa	NOUN
fcis-31302	290	26	.	.	PUNCT
fcis-31302	291	1	researchers	researcher	NOUN
fcis-31302	291	2	suggest	suggest	VERB
fcis-31302	291	3	embedding	embed	VERB
fcis-31302	291	4	privacy	privacy	NOUN
fcis-31302	291	5	protection	protection	NOUN
fcis-31302	291	6	modules	module	NOUN
fcis-31302	291	7	in	in	ADP
fcis-31302	291	8	disaster	disaster	NOUN
fcis-31302	291	9	monitoring	monitoring	NOUN
fcis-31302	291	10	systems	system	NOUN
fcis-31302	291	11	to	to	PART
fcis-31302	291	12	ensure	ensure	VERB
fcis-31302	291	13	transparency	transparency	NOUN
fcis-31302	291	14	in	in	ADP
fcis-31302	291	15	data	datum	NOUN
fcis-31302	291	16	processing	processing	NOUN
fcis-31302	291	17	[	[	X
fcis-31302	291	18	10	10	NUM
fcis-31302	291	19	]	]	PUNCT
fcis-31302	291	20	.	.	PUNCT
fcis-31302	292	1	5.5	5.5	NUM
fcis-31302	292	2	.	.	PUNCT
fcis-31302	292	3	difficulties	difficulty	NOUN
fcis-31302	292	4	in	in	ADP
fcis-31302	292	5	cross	cross	NOUN
fcis-31302	292	6	regional	regional	ADJ
fcis-31302	292	7	collaboration	collaboration	NOUN
fcis-31302	292	8	natural	natural	ADJ
fcis-31302	292	9	disasters	disaster	NOUN
fcis-31302	292	10	often	often	ADV
fcis-31302	292	11	have	have	AUX
fcis-31302	292	12	cross	cros	VERB
fcis-31302	292	13	regional	regional	ADJ
fcis-31302	292	14	characteristics	characteristic	NOUN
fcis-31302	292	15	,	,	PUNCT
fcis-31302	292	16	such	such	ADJ
fcis-31302	292	17	as	as	ADP
fcis-31302	292	18	cross	cross	ADJ
fcis-31302	292	19	-	-	ADJ
fcis-31302	292	20	border	border	ADJ
fcis-31302	292	21	river	river	NOUN
fcis-31302	292	22	floods	flood	NOUN
fcis-31302	292	23	,	,	PUNCT
fcis-31302	292	24	and	and	CCONJ
fcis-31302	292	25	typhoon	typhoon	NOUN
fcis-31302	292	26	paths	path	NOUN
fcis-31302	292	27	,	,	PUNCT
fcis-31302	292	28	but	but	CCONJ
fcis-31302	292	29	data	datum	NOUN
fcis-31302	292	30	sharing	sharing	NOUN
fcis-31302	292	31	and	and	CCONJ
fcis-31302	292	32	system	system	NOUN
fcis-31302	292	33	collaboration	collaboration	NOUN
fcis-31302	292	34	are	be	AUX
fcis-31302	292	35	hindered	hinder	VERB
fcis-31302	292	36	by	by	ADP
fcis-31302	292	37	differences	difference	NOUN
fcis-31302	292	38	in	in	ADP
fcis-31302	292	39	technical	technical	ADJ
fcis-31302	292	40	standards	standard	NOUN
fcis-31302	292	41	,	,	PUNCT
fcis-31302	292	42	data	datum	NOUN
fcis-31302	292	43	formats	format	NOUN
fcis-31302	292	44	,	,	PUNCT
fcis-31302	292	45	and	and	CCONJ
fcis-31302	292	46	policies	policy	NOUN
fcis-31302	292	47	.	.	PUNCT
fcis-31302	293	1	for	for	ADP
fcis-31302	293	2	example	example	NOUN
fcis-31302	293	3	,	,	PUNCT
fcis-31302	293	4	flood	flood	NOUN
fcis-31302	293	5	monitoring	monitoring	NOUN
fcis-31302	293	6	systems	system	NOUN
fcis-31302	293	7	in	in	ADP
fcis-31302	293	8	europe	europe	PROPN
fcis-31302	293	9	and	and	CCONJ
fcis-31302	293	10	asia	asia	PROPN
fcis-31302	293	11	are	be	AUX
fcis-31302	293	12	difficult	difficult	ADJ
fcis-31302	293	13	to	to	PART
fcis-31302	293	14	achieve	achieve	VERB
fcis-31302	293	15	joint	joint	ADJ
fcis-31302	293	16	early	early	ADJ
fcis-31302	293	17	warning	warning	NOUN
fcis-31302	293	18	due	due	ADP
fcis-31302	293	19	to	to	ADP
fcis-31302	293	20	inconsistent	inconsistent	ADJ
fcis-31302	293	21	data	datum	NOUN
fcis-31302	293	22	formats	format	NOUN
fcis-31302	293	23	[	[	X
fcis-31302	293	24	6	6	NUM
fcis-31302	293	25	]	]	PUNCT
fcis-31302	293	26	.	.	PUNCT
fcis-31302	294	1	the	the	DET
fcis-31302	294	2	main	main	ADJ
fcis-31302	294	3	solutions	solution	NOUN
fcis-31302	294	4	are	be	AUX
fcis-31302	294	5	:	:	PUNCT
fcis-31302	294	6	(	(	PUNCT
fcis-31302	294	7	1	1	X
fcis-31302	294	8	)	)	PUNCT
fcis-31302	294	9	standardized	standardized	ADJ
fcis-31302	294	10	data	data	NOUN
fcis-31302	294	11	format	format	NOUN
fcis-31302	294	12	:	:	PUNCT
fcis-31302	294	13	develop	develop	VERB
fcis-31302	294	14	unified	unified	ADJ
fcis-31302	294	15	data	data	NOUN
fcis-31302	294	16	standards	standard	NOUN
fcis-31302	294	17	and	and	CCONJ
fcis-31302	294	18	interfaces	interface	NOUN
fcis-31302	294	19	to	to	PART
fcis-31302	294	20	promote	promote	VERB
fcis-31302	294	21	cross	cross	VERB
fcis-31302	294	22	regional	regional	ADJ
fcis-31302	294	23	data	datum	NOUN
fcis-31302	294	24	sharing	sharing	NOUN
fcis-31302	294	25	.	.	PUNCT
fcis-31302	295	1	the	the	DET
fcis-31302	295	2	copernicus	copernicus	PROPN
fcis-31302	295	3	program	program	NOUN
fcis-31302	295	4	supports	support	VERB
fcis-31302	295	5	global	global	ADJ
fcis-31302	295	6	flood	flood	NOUN
fcis-31302	295	7	monitoring	monitoring	NOUN
fcis-31302	295	8	through	through	ADP
fcis-31302	295	9	standardized	standardized	ADJ
fcis-31302	295	10	remote	remote	ADJ
fcis-31302	295	11	sensing	sense	VERB
fcis-31302	295	12	data	datum	NOUN
fcis-31302	295	13	formats	format	NOUN
fcis-31302	295	14	[	[	X
fcis-31302	295	15	2	2	NUM
fcis-31302	295	16	]	]	PUNCT
fcis-31302	295	17	.	.	PUNCT
fcis-31302	296	1	(	(	PUNCT
fcis-31302	296	2	2	2	X
fcis-31302	296	3	)	)	PUNCT
fcis-31302	296	4	global	global	ADJ
fcis-31302	296	5	collaboration	collaboration	NOUN
fcis-31302	296	6	network	network	NOUN
fcis-31302	296	7	:	:	PUNCT
fcis-31302	296	8	establish	establish	VERB
fcis-31302	296	9	an	an	DET
fcis-31302	296	10	international	international	ADJ
fcis-31302	296	11	disaster	disaster	NOUN
fcis-31302	296	12	monitoring	monitoring	NOUN
fcis-31302	296	13	platform	platform	NOUN
fcis-31302	296	14	and	and	CCONJ
fcis-31302	296	15	integrate	integrate	VERB
fcis-31302	296	16	data	data	NOUN
fcis-31302	296	17	resources	resource	NOUN
fcis-31302	296	18	from	from	ADP
fcis-31302	296	19	multiple	multiple	ADJ
fcis-31302	296	20	countries	country	NOUN
fcis-31302	296	21	.	.	PUNCT
fcis-31302	297	1	the	the	DET
fcis-31302	297	2	global	global	ADJ
fcis-31302	297	3	disaster	disaster	NOUN
fcis-31302	297	4	database	database	NOUN
fcis-31302	297	5	of	of	ADP
fcis-31302	297	6	undrr	undrr	NOUN
fcis-31302	297	7	provides	provide	VERB
fcis-31302	297	8	a	a	DET
fcis-31302	297	9	reference	reference	NOUN
fcis-31302	297	10	for	for	ADP
fcis-31302	297	11	multimodal	multimodal	NOUN
fcis-31302	297	12	data	datum	NOUN
fcis-31302	297	13	sharing	share	VERB
fcis-31302	297	14	[	[	X
fcis-31302	297	15	6	6	NUM
fcis-31302	297	16	]	]	PUNCT
fcis-31302	297	17	.	.	PUNCT
fcis-31302	298	1	(	(	PUNCT
fcis-31302	298	2	3	3	X
fcis-31302	298	3	)	)	PUNCT
fcis-31302	298	4	low	low	ADJ
fcis-31302	298	5	cost	cost	NOUN
fcis-31302	298	6	technology	technology	NOUN
fcis-31302	298	7	promotion	promotion	NOUN
fcis-31302	298	8	:	:	PUNCT
fcis-31302	298	9	expand	expand	VERB
fcis-31302	298	10	the	the	DET
fcis-31302	298	11	monitoring	monitoring	NOUN
fcis-31302	298	12	capabilities	capability	NOUN
fcis-31302	298	13	of	of	ADP
fcis-31302	298	14	developing	develop	VERB
fcis-31302	298	15	countries	country	NOUN
fcis-31302	298	16	through	through	ADP
fcis-31302	298	17	lowcost	lowcost	PROPN
fcis-31302	298	18	sensors	sensor	NOUN
fcis-31302	298	19	and	and	CCONJ
fcis-31302	298	20	drone	drone	NOUN
fcis-31302	298	21	technology	technology	NOUN
fcis-31302	298	22	.	.	PUNCT
fcis-31302	299	1	kerle	kerle	NOUN
fcis-31302	299	2	proposed	propose	VERB
fcis-31302	299	3	using	use	VERB
fcis-31302	299	4	lowcost	lowcost	PROPN
fcis-31302	299	5	drone	drone	NOUN
fcis-31302	299	6	networks	network	NOUN
fcis-31302	299	7	to	to	PART
fcis-31302	299	8	enhance	enhance	VERB
fcis-31302	299	9	landslide	landslide	NOUN
fcis-31302	299	10	monitoring	monitoring	NOUN
fcis-31302	299	11	capabilities	capability	NOUN
fcis-31302	299	12	in	in	ADP
fcis-31302	299	13	remote	remote	ADJ
fcis-31302	299	14	areas	area	NOUN
fcis-31302	299	15	[	[	X
fcis-31302	299	16	6	6	NUM
fcis-31302	299	17	]	]	PUNCT
fcis-31302	299	18	.	.	PUNCT
fcis-31302	300	1	the	the	DET
fcis-31302	300	2	above	above	ADJ
fcis-31302	300	3	summary	summary	NOUN
fcis-31302	300	4	of	of	ADP
fcis-31302	300	5	challenges	challenge	NOUN
fcis-31302	300	6	and	and	CCONJ
fcis-31302	300	7	solutions	solution	NOUN
fcis-31302	300	8	is	be	AUX
fcis-31302	300	9	shown	show	VERB
fcis-31302	300	10	in	in	ADP
fcis-31302	300	11	table	table	NOUN
fcis-31302	300	12	6	6	NUM
fcis-31302	300	13	.	.	PUNCT
fcis-31302	300	14	table	table	NOUN
fcis-31302	300	15	6	6	NUM
fcis-31302	300	16	.	.	PUNCT
fcis-31302	301	1	summary	summary	NOUN
fcis-31302	301	2	of	of	ADP
fcis-31302	301	3	research	research	NOUN
fcis-31302	301	4	challenges	challenge	NOUN
fcis-31302	301	5	and	and	CCONJ
fcis-31302	301	6	solutions	solution	NOUN
fcis-31302	301	7	challenge	challenge	VERB
fcis-31302	301	8	main	main	ADJ
fcis-31302	301	9	issues	issue	NOUN
fcis-31302	301	10	solution	solution	NOUN
fcis-31302	301	11	data	datum	NOUN
fcis-31302	301	12	heterogeneity	heterogeneity	NOUN
fcis-31302	301	13	and	and	CCONJ
fcis-31302	301	14	modal	modal	ADJ
fcis-31302	301	15	deficiency	deficiency	NOUN
fcis-31302	301	16	differences	difference	NOUN
fcis-31302	301	17	in	in	ADP
fcis-31302	301	18	data	data	NOUN
fcis-31302	301	19	format	format	NOUN
fcis-31302	301	20	and	and	CCONJ
fcis-31302	301	21	resolution	resolution	NOUN
fcis-31302	301	22	;	;	PUNCT
fcis-31302	301	23	modal	modal	NOUN
fcis-31302	301	24	loss	loss	NOUN
fcis-31302	301	25	cross	cross	NOUN
fcis-31302	301	26	modal	modal	ADJ
fcis-31302	301	27	alignment	alignment	NOUN
fcis-31302	301	28	gan	gan	NOUN
fcis-31302	301	29	,	,	PUNCT
fcis-31302	301	30	incremental	incremental	ADJ
fcis-31302	301	31	learning	learning	NOUN
fcis-31302	302	1	[	[	X
fcis-31302	302	2	11	11	NUM
fcis-31302	302	3	,	,	PUNCT
fcis-31302	302	4	16	16	NUM
fcis-31302	302	5	]	]	X
fcis-31302	302	6	computational	computational	ADJ
fcis-31302	302	7	complexity	complexity	NOUN
fcis-31302	302	8	and	and	CCONJ
fcis-31302	302	9	realtime	realtime	ADJ
fcis-31302	302	10	performance	performance	NOUN
fcis-31302	302	11	high	high	ADJ
fcis-31302	302	12	computational	computational	ADJ
fcis-31302	302	13	demands	demand	NOUN
fcis-31302	302	14	and	and	CCONJ
fcis-31302	302	15	latency	latency	NOUN
fcis-31302	302	16	issues	issue	NOUN
fcis-31302	302	17	edge	edge	VERB
fcis-31302	302	18	computing	computing	NOUN
fcis-31302	302	19	,	,	PUNCT
fcis-31302	302	20	model	model	NOUN
fcis-31302	302	21	compression	compression	NOUN
fcis-31302	302	22	,	,	PUNCT
fcis-31302	302	23	lightweight	lightweight	ADJ
fcis-31302	302	24	algorithm	algorithm	NOUN
fcis-31302	302	25	[	[	X
fcis-31302	302	26	14	14	NUM
fcis-31302	302	27	,	,	PUNCT
fcis-31302	302	28	18	18	NUM
fcis-31302	302	29	]	]	PUNCT
fcis-31302	302	30	insufficient	insufficient	ADJ
fcis-31302	302	31	generalization	generalization	NOUN
fcis-31302	302	32	ability	ability	NOUN
fcis-31302	302	33	of	of	ADP
fcis-31302	302	34	the	the	DET
fcis-31302	302	35	model	model	PROPN
fcis-31302	302	36	cross	cross	PROPN
fcis-31302	302	37	regional	regional	ADJ
fcis-31302	302	38	and	and	CCONJ
fcis-31302	302	39	cross	cross	PROPN
fcis-31302	302	40	scenario	scenario	NOUN
fcis-31302	302	41	performance	performance	NOUN
fcis-31302	302	42	degradation	degradation	NOUN
fcis-31302	302	43	transfer	transfer	NOUN
fcis-31302	302	44	learning	learning	NOUN
fcis-31302	302	45	,	,	PUNCT
fcis-31302	302	46	zero	zero	NUM
fcis-31302	302	47	sample	sample	NOUN
fcis-31302	302	48	learning	learning	NOUN
fcis-31302	302	49	,	,	PUNCT
fcis-31302	302	50	data	datum	NOUN
fcis-31302	302	51	augmentation	augmentation	NOUN
fcis-31302	302	52	[	[	X
fcis-31302	302	53	8	8	NUM
fcis-31302	302	54	,	,	PUNCT
fcis-31302	302	55	20	20	NUM
fcis-31302	302	56	]	]	PUNCT
fcis-31302	302	57	data	data	NOUN
fcis-31302	302	58	privacy	privacy	NOUN
fcis-31302	302	59	and	and	CCONJ
fcis-31302	302	60	ethics	ethic	NOUN
fcis-31302	302	61	social	social	ADJ
fcis-31302	302	62	media	medium	NOUN
fcis-31302	302	63	data	datum	NOUN
fcis-31302	302	64	privacy	privacy	NOUN
fcis-31302	302	65	breaches	breach	NOUN
fcis-31302	302	66	,	,	PUNCT
fcis-31302	302	67	regulatory	regulatory	ADJ
fcis-31302	302	68	compliance	compliance	NOUN
fcis-31302	302	69	federated	federated	ADJ
fcis-31302	302	70	learning	learning	NOUN
fcis-31302	302	71	,	,	PUNCT
fcis-31302	302	72	data	data	PROPN
fcis-31302	302	73	anonymization	anonymization	NOUN
fcis-31302	302	74	,	,	PUNCT
fcis-31302	302	75	ethical	ethical	ADJ
fcis-31302	302	76	framework	framework	NOUN
fcis-31302	302	77	[	[	X
fcis-31302	302	78	9	9	NUM
fcis-31302	302	79	,	,	PUNCT
fcis-31302	302	80	11	11	NUM
fcis-31302	302	81	]	]	PUNCT
fcis-31302	302	82	cross	cross	VERB
fcis-31302	302	83	regional	regional	ADJ
fcis-31302	302	84	collaboration	collaboration	NOUN
fcis-31302	302	85	inconsistent	inconsistent	ADJ
fcis-31302	302	86	data	datum	NOUN
fcis-31302	302	87	format	format	NOUN
fcis-31302	302	88	and	and	CCONJ
fcis-31302	302	89	uneven	uneven	ADJ
fcis-31302	302	90	distribution	distribution	NOUN
fcis-31302	302	91	of	of	ADP
fcis-31302	302	92	resources	resource	NOUN
fcis-31302	302	93	standardized	standardize	VERB
fcis-31302	302	94	format	format	NOUN
fcis-31302	302	95	,	,	PUNCT
fcis-31302	302	96	global	global	ADJ
fcis-31302	302	97	collaborative	collaborative	ADJ
fcis-31302	302	98	network	network	NOUN
fcis-31302	302	99	[	[	X
fcis-31302	302	100	1	1	NUM
fcis-31302	302	101	,	,	PUNCT
fcis-31302	302	102	6	6	NUM
fcis-31302	302	103	]	]	SYM
fcis-31302	302	104	10	10	NUM
fcis-31302	302	105	6	6	NUM
fcis-31302	302	106	.	.	PUNCT
fcis-31302	303	1	future	future	ADJ
fcis-31302	303	2	research	research	NOUN
fcis-31302	303	3	directions	direction	VERB
fcis-31302	303	4	the	the	DET
fcis-31302	303	5	multimodal	multimodal	ADJ
fcis-31302	303	6	information	information	NOUN
fcis-31302	303	7	fusion	fusion	NOUN
fcis-31302	303	8	technology	technology	NOUN
fcis-31302	303	9	has	have	AUX
fcis-31302	303	10	made	make	VERB
fcis-31302	303	11	significant	significant	ADJ
fcis-31302	303	12	progress	progress	NOUN
fcis-31302	303	13	in	in	ADP
fcis-31302	303	14	the	the	DET
fcis-31302	303	15	field	field	NOUN
fcis-31302	303	16	of	of	ADP
fcis-31302	303	17	real	real	ADJ
fcis-31302	303	18	-	-	PUNCT
fcis-31302	303	19	time	time	NOUN
fcis-31302	303	20	intelligent	intelligent	ADJ
fcis-31302	303	21	monitoring	monitoring	NOUN
fcis-31302	303	22	and	and	CCONJ
fcis-31302	303	23	early	early	ADJ
fcis-31302	303	24	warning	warning	NOUN
fcis-31302	303	25	of	of	ADP
fcis-31302	303	26	natural	natural	ADJ
fcis-31302	303	27	disasters	disaster	NOUN
fcis-31302	303	28	,	,	PUNCT
fcis-31302	303	29	but	but	CCONJ
fcis-31302	303	30	in	in	ADP
fcis-31302	303	31	the	the	DET
fcis-31302	303	32	face	face	NOUN
fcis-31302	303	33	of	of	ADP
fcis-31302	303	34	increasingly	increasingly	ADV
fcis-31302	303	35	complex	complex	ADJ
fcis-31302	303	36	disaster	disaster	NOUN
fcis-31302	303	37	scenarios	scenario	NOUN
fcis-31302	303	38	and	and	CCONJ
fcis-31302	303	39	higher	high	ADJ
fcis-31302	303	40	real	real	ADJ
fcis-31302	303	41	-	-	PUNCT
fcis-31302	303	42	time	time	NOUN
fcis-31302	303	43	and	and	CCONJ
fcis-31302	303	44	precision	precision	NOUN
fcis-31302	303	45	requirements	requirement	NOUN
fcis-31302	303	46	,	,	PUNCT
fcis-31302	303	47	further	further	ADJ
fcis-31302	303	48	exploration	exploration	NOUN
fcis-31302	303	49	of	of	ADP
fcis-31302	303	50	innovative	innovative	ADJ
fcis-31302	303	51	directions	direction	NOUN
fcis-31302	303	52	is	be	AUX
fcis-31302	303	53	still	still	ADV
fcis-31302	303	54	needed	need	VERB
fcis-31302	303	55	.	.	PUNCT
fcis-31302	304	1	future	future	ADJ
fcis-31302	304	2	research	research	NOUN
fcis-31302	304	3	can	can	AUX
fcis-31302	304	4	focus	focus	VERB
fcis-31302	304	5	on	on	ADP
fcis-31302	304	6	adaptive	adaptive	ADJ
fcis-31302	304	7	fusion	fusion	NOUN
fcis-31302	304	8	algorithms	algorithm	NOUN
fcis-31302	304	9	,	,	PUNCT
fcis-31302	304	10	the	the	DET
fcis-31302	304	11	application	application	NOUN
fcis-31302	304	12	of	of	ADP
fcis-31302	304	13	generative	generative	ADJ
fcis-31302	304	14	ai	ai	PROPN
fcis-31302	304	15	technology	technology	NOUN
fcis-31302	304	16	,	,	PUNCT
fcis-31302	304	17	the	the	DET
fcis-31302	304	18	construction	construction	NOUN
fcis-31302	304	19	of	of	ADP
fcis-31302	304	20	global	global	ADJ
fcis-31302	304	21	collaborative	collaborative	ADJ
fcis-31302	304	22	networks	network	NOUN
fcis-31302	304	23	,	,	PUNCT
fcis-31302	304	24	the	the	DET
fcis-31302	304	25	strengthening	strengthening	NOUN
fcis-31302	304	26	of	of	ADP
fcis-31302	304	27	privacy	privacy	NOUN
fcis-31302	304	28	protection	protection	NOUN
fcis-31302	304	29	and	and	CCONJ
fcis-31302	304	30	ethical	ethical	ADJ
fcis-31302	304	31	compliance	compliance	NOUN
fcis-31302	304	32	,	,	PUNCT
fcis-31302	304	33	and	and	CCONJ
fcis-31302	304	34	the	the	DET
fcis-31302	304	35	promotion	promotion	NOUN
fcis-31302	304	36	of	of	ADP
fcis-31302	304	37	low	low	ADJ
fcis-31302	304	38	-	-	PUNCT
fcis-31302	304	39	cost	cost	NOUN
fcis-31302	304	40	technologies	technology	NOUN
fcis-31302	304	41	.	.	PUNCT
fcis-31302	305	1	6.1	6.1	NUM
fcis-31302	305	2	.	.	PUNCT
fcis-31302	305	3	adaptive	adaptive	ADJ
fcis-31302	305	4	fusion	fusion	NOUN
fcis-31302	305	5	algorithm	algorithm	NOUN
fcis-31302	305	6	the	the	DET
fcis-31302	305	7	current	current	ADJ
fcis-31302	305	8	fusion	fusion	NOUN
fcis-31302	305	9	algorithms	algorithm	NOUN
fcis-31302	305	10	rely	rely	VERB
fcis-31302	305	11	on	on	ADP
fcis-31302	305	12	static	static	ADJ
fcis-31302	305	13	model	model	NOUN
fcis-31302	305	14	structures	structure	NOUN
fcis-31302	305	15	when	when	SCONJ
fcis-31302	305	16	processing	process	VERB
fcis-31302	305	17	multimodal	multimodal	NOUN
fcis-31302	305	18	data	datum	NOUN
fcis-31302	305	19	,	,	PUNCT
fcis-31302	305	20	making	make	VERB
fcis-31302	305	21	it	it	PRON
fcis-31302	305	22	difficult	difficult	ADJ
fcis-31302	305	23	to	to	PART
fcis-31302	305	24	dynamically	dynamically	ADV
fcis-31302	305	25	adapt	adapt	VERB
fcis-31302	305	26	to	to	ADP
fcis-31302	305	27	changes	change	NOUN
fcis-31302	305	28	in	in	ADP
fcis-31302	305	29	disaster	disaster	NOUN
fcis-31302	305	30	scenarios	scenario	NOUN
fcis-31302	305	31	.	.	PUNCT
fcis-31302	306	1	in	in	ADP
fcis-31302	306	2	the	the	DET
fcis-31302	306	3	future	future	NOUN
fcis-31302	306	4	,	,	PUNCT
fcis-31302	306	5	adaptive	adaptive	ADJ
fcis-31302	306	6	fusion	fusion	NOUN
fcis-31302	306	7	algorithms	algorithm	NOUN
fcis-31302	306	8	can	can	AUX
fcis-31302	306	9	be	be	AUX
fcis-31302	306	10	developed	develop	VERB
fcis-31302	306	11	to	to	PART
fcis-31302	306	12	enhance	enhance	VERB
fcis-31302	306	13	the	the	DET
fcis-31302	306	14	system	system	NOUN
fcis-31302	306	15	's	's	PART
fcis-31302	306	16	adaptability	adaptability	NOUN
fcis-31302	306	17	to	to	ADP
fcis-31302	306	18	complex	complex	ADJ
fcis-31302	306	19	scenarios	scenario	NOUN
fcis-31302	306	20	by	by	ADP
fcis-31302	306	21	dynamically	dynamically	ADV
fcis-31302	306	22	adjusting	adjust	VERB
fcis-31302	306	23	modal	modal	ADJ
fcis-31302	306	24	weights	weight	NOUN
fcis-31302	306	25	or	or	CCONJ
fcis-31302	306	26	model	model	NOUN
fcis-31302	306	27	structures	structure	NOUN
fcis-31302	306	28	.	.	PUNCT
fcis-31302	307	1	the	the	DET
fcis-31302	307	2	transformer	transformer	NOUN
fcis-31302	307	3	model	model	NOUN
fcis-31302	307	4	based	base	VERB
fcis-31302	307	5	on	on	ADP
fcis-31302	307	6	dynamic	dynamic	ADJ
fcis-31302	307	7	attention	attention	NOUN
fcis-31302	307	8	mechanism	mechanism	NOUN
fcis-31302	307	9	can	can	AUX
fcis-31302	307	10	optimize	optimize	VERB
fcis-31302	307	11	the	the	DET
fcis-31302	307	12	fusion	fusion	NOUN
fcis-31302	307	13	weights	weight	NOUN
fcis-31302	307	14	of	of	ADP
fcis-31302	307	15	cross	cross	NOUN
fcis-31302	307	16	modal	modal	NOUN
fcis-31302	307	17	features	feature	NOUN
fcis-31302	307	18	in	in	ADP
fcis-31302	307	19	real	real	ADJ
fcis-31302	307	20	time	time	NOUN
fcis-31302	307	21	according	accord	VERB
fcis-31302	307	22	to	to	ADP
fcis-31302	307	23	the	the	DET
fcis-31302	307	24	quality	quality	NOUN
fcis-31302	307	25	and	and	CCONJ
fcis-31302	307	26	characteristics	characteristic	NOUN
fcis-31302	307	27	of	of	ADP
fcis-31302	307	28	input	input	NOUN
fcis-31302	307	29	data	datum	NOUN
fcis-31302	307	30	[	[	X
fcis-31302	307	31	11	11	NUM
fcis-31302	307	32	]	]	PUNCT
fcis-31302	307	33	.	.	PUNCT
fcis-31302	308	1	reinforcement	reinforcement	NOUN
fcis-31302	308	2	learning	learning	NOUN
fcis-31302	308	3	(	(	PUNCT
fcis-31302	308	4	rl	rl	NOUN
fcis-31302	308	5	)	)	PUNCT
fcis-31302	308	6	can	can	AUX
fcis-31302	308	7	be	be	AUX
fcis-31302	308	8	used	use	VERB
fcis-31302	308	9	to	to	PART
fcis-31302	308	10	optimize	optimize	VERB
fcis-31302	308	11	fusion	fusion	NOUN
fcis-31302	308	12	strategies	strategy	NOUN
fcis-31302	308	13	by	by	ADP
fcis-31302	308	14	learning	learn	VERB
fcis-31302	308	15	the	the	DET
fcis-31302	308	16	optimal	optimal	ADJ
fcis-31302	308	17	fusion	fusion	NOUN
fcis-31302	308	18	solution	solution	NOUN
fcis-31302	308	19	through	through	ADP
fcis-31302	308	20	interaction	interaction	NOUN
fcis-31302	308	21	with	with	ADP
fcis-31302	308	22	the	the	DET
fcis-31302	308	23	environment	environment	NOUN
fcis-31302	308	24	.	.	PUNCT
fcis-31302	309	1	wu	wu	PROPN
fcis-31302	309	2	proposed	propose	VERB
fcis-31302	309	3	a	a	DET
fcis-31302	309	4	dynamic	dynamic	ADJ
fcis-31302	309	5	fusion	fusion	NOUN
fcis-31302	309	6	framework	framework	NOUN
fcis-31302	309	7	based	base	VERB
fcis-31302	309	8	on	on	ADP
fcis-31302	309	9	gnn	gnn	PROPN
fcis-31302	309	10	,	,	PUNCT
fcis-31302	309	11	which	which	PRON
fcis-31302	309	12	significantly	significantly	ADV
fcis-31302	309	13	improves	improve	VERB
fcis-31302	309	14	the	the	DET
fcis-31302	309	15	robustness	robustness	NOUN
fcis-31302	309	16	of	of	ADP
fcis-31302	309	17	landslide	landslide	NOUN
fcis-31302	309	18	monitoring	monitoring	NOUN
fcis-31302	309	19	by	by	ADP
fcis-31302	309	20	adaptively	adaptively	ADV
fcis-31302	309	21	updating	update	VERB
fcis-31302	309	22	the	the	DET
fcis-31302	309	23	modal	modal	ADJ
fcis-31302	309	24	relationship	relationship	NOUN
fcis-31302	309	25	graph	graph	NOUN
fcis-31302	309	26	[	[	X
fcis-31302	309	27	13	13	NUM
fcis-31302	309	28	]	]	PUNCT
fcis-31302	309	29	.	.	PUNCT
fcis-31302	310	1	future	future	ADJ
fcis-31302	310	2	research	research	NOUN
fcis-31302	310	3	can	can	AUX
fcis-31302	310	4	further	far	ADV
fcis-31302	310	5	explore	explore	VERB
fcis-31302	310	6	adaptive	adaptive	ADJ
fcis-31302	310	7	algorithms	algorithm	NOUN
fcis-31302	310	8	combining	combine	VERB
fcis-31302	310	9	rl	rl	ADP
fcis-31302	310	10	and	and	CCONJ
fcis-31302	310	11	gnn	gnn	VERB
fcis-31302	310	12	to	to	PART
fcis-31302	310	13	cope	cope	VERB
fcis-31302	310	14	with	with	ADP
fcis-31302	310	15	dynamic	dynamic	ADJ
fcis-31302	310	16	disaster	disaster	NOUN
fcis-31302	310	17	scenarios	scenario	NOUN
fcis-31302	310	18	such	such	ADJ
fcis-31302	310	19	as	as	ADP
fcis-31302	310	20	earthquakes	earthquake	NOUN
fcis-31302	310	21	and	and	CCONJ
fcis-31302	310	22	floods	flood	NOUN
fcis-31302	310	23	.	.	PUNCT
fcis-31302	311	1	6.2	6.2	NUM
fcis-31302	311	2	.	.	PUNCT
fcis-31302	311	3	application	application	NOUN
fcis-31302	311	4	of	of	ADP
fcis-31302	311	5	generative	generative	ADJ
fcis-31302	311	6	ai	ai	PROPN
fcis-31302	311	7	technology	technology	NOUN
fcis-31302	311	8	generative	generative	ADJ
fcis-31302	311	9	ai	ai	INTJ
fcis-31302	311	10	technology	technology	NOUN
fcis-31302	311	11	shows	show	VERB
fcis-31302	311	12	great	great	ADJ
fcis-31302	311	13	potential	potential	NOUN
fcis-31302	311	14	in	in	ADP
fcis-31302	311	15	filling	fill	VERB
fcis-31302	311	16	modal	modal	ADJ
fcis-31302	311	17	gaps	gap	NOUN
fcis-31302	311	18	and	and	CCONJ
fcis-31302	311	19	enhancing	enhance	VERB
fcis-31302	311	20	data	datum	NOUN
fcis-31302	311	21	.	.	PUNCT
fcis-31302	312	1	in	in	ADP
fcis-31302	312	2	the	the	DET
fcis-31302	312	3	future	future	NOUN
fcis-31302	312	4	,	,	PUNCT
fcis-31302	312	5	diffusion	diffusion	NOUN
fcis-31302	312	6	models	model	NOUN
fcis-31302	312	7	can	can	AUX
fcis-31302	312	8	be	be	AUX
fcis-31302	312	9	used	use	VERB
fcis-31302	312	10	to	to	PART
fcis-31302	312	11	generate	generate	VERB
fcis-31302	312	12	high	high	ADJ
fcis-31302	312	13	-	-	PUNCT
fcis-31302	312	14	quality	quality	NOUN
fcis-31302	312	15	synthetic	synthetic	ADJ
fcis-31302	312	16	data	datum	NOUN
fcis-31302	312	17	to	to	PART
fcis-31302	312	18	compensate	compensate	VERB
fcis-31302	312	19	for	for	ADP
fcis-31302	312	20	the	the	DET
fcis-31302	312	21	problem	problem	NOUN
fcis-31302	312	22	of	of	ADP
fcis-31302	312	23	sparse	sparse	ADJ
fcis-31302	312	24	or	or	CCONJ
fcis-31302	312	25	missing	miss	VERB
fcis-31302	312	26	data	datum	NOUN
fcis-31302	312	27	in	in	ADP
fcis-31302	312	28	disaster	disaster	NOUN
fcis-31302	312	29	scenarios	scenario	NOUN
fcis-31302	312	30	.	.	PUNCT
fcis-31302	313	1	liu	liu	PROPN
fcis-31302	313	2	enhanced	enhance	VERB
fcis-31302	313	3	the	the	DET
fcis-31302	313	4	performance	performance	NOUN
fcis-31302	313	5	of	of	ADP
fcis-31302	313	6	flood	flood	NOUN
fcis-31302	313	7	monitoring	monitoring	NOUN
fcis-31302	313	8	models	model	NOUN
fcis-31302	313	9	by	by	ADP
fcis-31302	313	10	generating	generate	VERB
fcis-31302	313	11	missing	miss	VERB
fcis-31302	313	12	remote	remote	ADJ
fcis-31302	313	13	sensing	sense	VERB
fcis-31302	313	14	image	image	NOUN
fcis-31302	313	15	data	datum	NOUN
fcis-31302	313	16	through	through	ADP
fcis-31302	313	17	gan	gan	PROPN
fcis-31302	313	18	[	[	X
fcis-31302	313	19	16	16	NUM
fcis-31302	313	20	]	]	PUNCT
fcis-31302	313	21	.	.	PUNCT
fcis-31302	314	1	the	the	DET
fcis-31302	314	2	diffusion	diffusion	NOUN
fcis-31302	314	3	model	model	NOUN
fcis-31302	314	4	,	,	PUNCT
fcis-31302	314	5	as	as	ADP
fcis-31302	314	6	an	an	DET
fcis-31302	314	7	emerging	emerge	VERB
fcis-31302	314	8	generation	generation	NOUN
fcis-31302	314	9	technology	technology	NOUN
fcis-31302	314	10	,	,	PUNCT
fcis-31302	314	11	can	can	AUX
fcis-31302	314	12	generate	generate	VERB
fcis-31302	314	13	more	more	ADV
fcis-31302	314	14	realistic	realistic	ADJ
fcis-31302	314	15	synthetic	synthetic	ADJ
fcis-31302	314	16	data	datum	NOUN
fcis-31302	314	17	and	and	CCONJ
fcis-31302	314	18	is	be	AUX
fcis-31302	314	19	suitable	suitable	ADJ
fcis-31302	314	20	for	for	ADP
fcis-31302	314	21	processing	process	VERB
fcis-31302	314	22	high	high	ADJ
fcis-31302	314	23	-	-	PUNCT
fcis-31302	314	24	dimensional	dimensional	ADJ
fcis-31302	314	25	multimodal	multimodal	ADJ
fcis-31302	314	26	data	datum	NOUN
fcis-31302	314	27	.	.	PUNCT
fcis-31302	315	1	future	future	ADJ
fcis-31302	315	2	research	research	NOUN
fcis-31302	315	3	can	can	AUX
fcis-31302	315	4	explore	explore	VERB
fcis-31302	315	5	the	the	DET
fcis-31302	315	6	application	application	NOUN
fcis-31302	315	7	of	of	ADP
fcis-31302	315	8	diffusion	diffusion	NOUN
fcis-31302	315	9	models	model	NOUN
fcis-31302	315	10	in	in	ADP
fcis-31302	315	11	earthquake	earthquake	NOUN
fcis-31302	315	12	waveform	waveform	NOUN
fcis-31302	315	13	generation	generation	NOUN
fcis-31302	315	14	,	,	PUNCT
fcis-31302	315	15	social	social	ADJ
fcis-31302	315	16	media	medium	NOUN
fcis-31302	315	17	text	text	NOUN
fcis-31302	315	18	completion	completion	NOUN
fcis-31302	315	19	,	,	PUNCT
fcis-31302	315	20	and	and	CCONJ
fcis-31302	315	21	drone	drone	NOUN
fcis-31302	315	22	image	image	NOUN
fcis-31302	315	23	enhancement	enhancement	NOUN
fcis-31302	315	24	.	.	PUNCT
fcis-31302	316	1	generative	generative	ADJ
fcis-31302	316	2	ai	ai	VERB
fcis-31302	316	3	can	can	AUX
fcis-31302	316	4	also	also	ADV
fcis-31302	316	5	be	be	AUX
fcis-31302	316	6	used	use	VERB
fcis-31302	316	7	to	to	PART
fcis-31302	316	8	simulate	simulate	VERB
fcis-31302	316	9	disaster	disaster	NOUN
fcis-31302	316	10	scenarios	scenario	NOUN
fcis-31302	316	11	and	and	CCONJ
fcis-31302	316	12	generate	generate	VERB
fcis-31302	316	13	training	training	NOUN
fcis-31302	316	14	data	datum	NOUN
fcis-31302	316	15	to	to	PART
fcis-31302	316	16	improve	improve	VERB
fcis-31302	316	17	the	the	DET
fcis-31302	316	18	model	model	NOUN
fcis-31302	316	19	's	's	PART
fcis-31302	316	20	generalization	generalization	NOUN
fcis-31302	316	21	ability	ability	NOUN
fcis-31302	316	22	,	,	PUNCT
fcis-31302	316	23	especially	especially	ADV
fcis-31302	316	24	in	in	ADP
fcis-31302	316	25	remote	remote	ADJ
fcis-31302	316	26	areas	area	NOUN
fcis-31302	316	27	where	where	SCONJ
fcis-31302	316	28	data	datum	NOUN
fcis-31302	316	29	is	be	AUX
fcis-31302	316	30	scarce	scarce	ADJ
fcis-31302	316	31	[	[	X
fcis-31302	316	32	6	6	NUM
fcis-31302	316	33	]	]	PUNCT
fcis-31302	316	34	.	.	PUNCT
fcis-31302	317	1	6.3	6.3	NUM
fcis-31302	317	2	.	.	PUNCT
fcis-31302	318	1	construction	construction	NOUN
fcis-31302	318	2	of	of	ADP
fcis-31302	318	3	global	global	ADJ
fcis-31302	318	4	collaboration	collaboration	NOUN
fcis-31302	318	5	network	network	NOUN
fcis-31302	318	6	the	the	DET
fcis-31302	318	7	cross	cross	PROPN
fcis-31302	318	8	regional	regional	ADJ
fcis-31302	318	9	characteristics	characteristic	NOUN
fcis-31302	318	10	of	of	ADP
fcis-31302	318	11	natural	natural	ADJ
fcis-31302	318	12	disasters	disaster	NOUN
fcis-31302	318	13	require	require	VERB
fcis-31302	318	14	the	the	DET
fcis-31302	318	15	construction	construction	NOUN
fcis-31302	318	16	of	of	ADP
fcis-31302	318	17	a	a	DET
fcis-31302	318	18	global	global	ADJ
fcis-31302	318	19	multimodal	multimodal	NOUN
fcis-31302	318	20	monitoring	monitoring	NOUN
fcis-31302	318	21	network	network	NOUN
fcis-31302	318	22	to	to	PART
fcis-31302	318	23	promote	promote	VERB
fcis-31302	318	24	data	datum	NOUN
fcis-31302	318	25	sharing	sharing	NOUN
fcis-31302	318	26	and	and	CCONJ
fcis-31302	318	27	system	system	NOUN
fcis-31302	318	28	collaboration	collaboration	NOUN
fcis-31302	318	29	.	.	PUNCT
fcis-31302	319	1	however	however	ADV
fcis-31302	319	2	,	,	PUNCT
fcis-31302	319	3	inconsistent	inconsistent	ADJ
fcis-31302	319	4	data	datum	NOUN
fcis-31302	319	5	formats	format	NOUN
fcis-31302	319	6	,	,	PUNCT
fcis-31302	319	7	policy	policy	NOUN
fcis-31302	319	8	restrictions	restriction	NOUN
fcis-31302	319	9	,	,	PUNCT
fcis-31302	319	10	and	and	CCONJ
fcis-31302	319	11	uneven	uneven	ADJ
fcis-31302	319	12	distribution	distribution	NOUN
fcis-31302	319	13	of	of	ADP
fcis-31302	319	14	resources	resource	NOUN
fcis-31302	319	15	remain	remain	VERB
fcis-31302	319	16	the	the	DET
fcis-31302	319	17	main	main	ADJ
fcis-31302	319	18	obstacles	obstacle	NOUN
fcis-31302	319	19	[	[	X
fcis-31302	319	20	6	6	NUM
fcis-31302	319	21	]	]	PUNCT
fcis-31302	319	22	.	.	PUNCT
fcis-31302	320	1	in	in	ADP
fcis-31302	320	2	the	the	DET
fcis-31302	320	3	future	future	NOUN
fcis-31302	320	4	,	,	PUNCT
fcis-31302	320	5	cross	cross	ADJ
fcis-31302	320	6	-	-	ADJ
fcis-31302	320	7	border	border	ADJ
fcis-31302	320	8	data	datum	NOUN
fcis-31302	320	9	sharing	sharing	NOUN
fcis-31302	320	10	can	can	AUX
fcis-31302	320	11	be	be	AUX
fcis-31302	320	12	promoted	promote	VERB
fcis-31302	320	13	through	through	ADP
fcis-31302	320	14	standardized	standardized	ADJ
fcis-31302	320	15	data	data	NOUN
fcis-31302	320	16	interfaces	interface	NOUN
fcis-31302	320	17	and	and	CCONJ
fcis-31302	320	18	protocols	protocol	NOUN
fcis-31302	320	19	,	,	PUNCT
fcis-31302	320	20	such	such	ADJ
fcis-31302	320	21	as	as	ADP
fcis-31302	320	22	the	the	DET
fcis-31302	320	23	copernicus	copernicus	PROPN
fcis-31302	320	24	remote	remote	ADJ
fcis-31302	320	25	sensing	sense	VERB
fcis-31302	320	26	data	datum	NOUN
fcis-31302	320	27	standard	standard	NOUN
fcis-31302	320	28	[	[	X
fcis-31302	320	29	2	2	NUM
fcis-31302	320	30	]	]	PUNCT
fcis-31302	320	31	.	.	PUNCT
fcis-31302	321	1	the	the	DET
fcis-31302	321	2	distributed	distribute	VERB
fcis-31302	321	3	data	data	NOUN
fcis-31302	321	4	management	management	NOUN
fcis-31302	321	5	technology	technology	NOUN
fcis-31302	321	6	based	base	VERB
fcis-31302	321	7	on	on	ADP
fcis-31302	321	8	blockchain	blockchain	PROPN
fcis-31302	321	9	can	can	AUX
fcis-31302	321	10	ensure	ensure	VERB
fcis-31302	321	11	the	the	DET
fcis-31302	321	12	security	security	NOUN
fcis-31302	321	13	and	and	CCONJ
fcis-31302	321	14	transparency	transparency	NOUN
fcis-31302	321	15	of	of	ADP
fcis-31302	321	16	data	datum	NOUN
fcis-31302	321	17	sharing	sharing	NOUN
fcis-31302	321	18	,	,	PUNCT
fcis-31302	321	19	and	and	CCONJ
fcis-31302	321	20	avoid	avoid	VERB
fcis-31302	321	21	privacy	privacy	NOUN
fcis-31302	321	22	leakage	leakage	NOUN
fcis-31302	321	23	.	.	PUNCT
fcis-31302	322	1	the	the	DET
fcis-31302	322	2	global	global	ADJ
fcis-31302	322	3	disaster	disaster	NOUN
fcis-31302	322	4	database	database	NOUN
fcis-31302	322	5	of	of	ADP
fcis-31302	322	6	undrr	undrr	NOUN
fcis-31302	322	7	(	(	PUNCT
fcis-31302	322	8	2020	2020	NUM
fcis-31302	322	9	)	)	PUNCT
fcis-31302	322	10	provides	provide	VERB
fcis-31302	322	11	a	a	DET
fcis-31302	322	12	reference	reference	NOUN
fcis-31302	322	13	for	for	ADP
fcis-31302	322	14	building	build	VERB
fcis-31302	322	15	collaborative	collaborative	ADJ
fcis-31302	322	16	networks	network	NOUN
fcis-31302	322	17	[	[	X
fcis-31302	322	18	6	6	NUM
fcis-31302	322	19	]	]	PUNCT
fcis-31302	322	20	,	,	PUNCT
fcis-31302	322	21	which	which	PRON
fcis-31302	322	22	can	can	AUX
fcis-31302	322	23	be	be	AUX
fcis-31302	322	24	expanded	expand	VERB
fcis-31302	322	25	in	in	ADP
fcis-31302	322	26	the	the	DET
fcis-31302	322	27	future	future	NOUN
fcis-31302	322	28	to	to	PART
fcis-31302	322	29	integrate	integrate	VERB
fcis-31302	322	30	multimodal	multimodal	NOUN
fcis-31302	322	31	data	datum	NOUN
fcis-31302	322	32	sources	source	NOUN
fcis-31302	322	33	and	and	CCONJ
fcis-31302	322	34	form	form	VERB
fcis-31302	322	35	a	a	DET
fcis-31302	322	36	global	global	ADJ
fcis-31302	322	37	disaster	disaster	NOUN
fcis-31302	322	38	monitoring	monitoring	NOUN
fcis-31302	322	39	platform	platform	NOUN
fcis-31302	322	40	.	.	PUNCT
fcis-31302	323	1	6.4	6.4	NUM
fcis-31302	323	2	.	.	PUNCT
fcis-31302	323	3	privacy	privacy	NOUN
fcis-31302	323	4	protection	protection	NOUN
fcis-31302	323	5	and	and	CCONJ
fcis-31302	323	6	ethical	ethical	ADJ
fcis-31302	323	7	compliance	compliance	NOUN
fcis-31302	323	8	the	the	DET
fcis-31302	323	9	widespread	widespread	ADJ
fcis-31302	323	10	application	application	NOUN
fcis-31302	323	11	of	of	ADP
fcis-31302	323	12	social	social	ADJ
fcis-31302	323	13	media	medium	NOUN
fcis-31302	323	14	data	datum	NOUN
fcis-31302	323	15	in	in	ADP
fcis-31302	323	16	disaster	disaster	NOUN
fcis-31302	323	17	monitoring	monitoring	NOUN
fcis-31302	323	18	has	have	AUX
fcis-31302	323	19	brought	bring	VERB
fcis-31302	323	20	privacy	privacy	NOUN
fcis-31302	323	21	and	and	CCONJ
fcis-31302	323	22	ethical	ethical	ADJ
fcis-31302	323	23	challenges	challenge	NOUN
fcis-31302	323	24	,	,	PUNCT
fcis-31302	323	25	and	and	CCONJ
fcis-31302	323	26	further	further	ADJ
fcis-31302	323	27	protection	protection	NOUN
fcis-31302	323	28	mechanisms	mechanism	NOUN
fcis-31302	323	29	need	need	VERB
fcis-31302	323	30	to	to	PART
fcis-31302	323	31	be	be	AUX
fcis-31302	323	32	strengthened	strengthen	VERB
fcis-31302	323	33	.	.	PUNCT
fcis-31302	324	1	federated	federated	ADJ
fcis-31302	324	2	learning	learning	NOUN
fcis-31302	324	3	has	have	AUX
fcis-31302	324	4	shown	show	VERB
fcis-31302	324	5	potential	potential	NOUN
fcis-31302	324	6	in	in	ADP
fcis-31302	324	7	multimodal	multimodal	ADJ
fcis-31302	324	8	disaster	disaster	NOUN
fcis-31302	324	9	response	response	NOUN
fcis-31302	324	10	by	by	ADP
fcis-31302	324	11	protecting	protect	VERB
fcis-31302	324	12	data	datum	NOUN
fcis-31302	324	13	privacy	privacy	NOUN
fcis-31302	324	14	through	through	ADP
fcis-31302	324	15	distributed	distribute	VERB
fcis-31302	324	16	training	training	NOUN
fcis-31302	324	17	[	[	X
fcis-31302	324	18	11	11	NUM
fcis-31302	324	19	]	]	PUNCT
fcis-31302	324	20	.	.	PUNCT
fcis-31302	325	1	in	in	ADP
fcis-31302	325	2	the	the	DET
fcis-31302	325	3	future	future	NOUN
fcis-31302	325	4	,	,	PUNCT
fcis-31302	325	5	differential	differential	ADJ
fcis-31302	325	6	privacy	privacy	NOUN
fcis-31302	325	7	and	and	CCONJ
fcis-31302	325	8	homomorphic	homomorphic	ADJ
fcis-31302	325	9	encryption	encryption	NOUN
fcis-31302	325	10	technologies	technology	NOUN
fcis-31302	325	11	can	can	AUX
fcis-31302	325	12	be	be	AUX
fcis-31302	325	13	combined	combine	VERB
fcis-31302	325	14	to	to	PART
fcis-31302	325	15	further	far	ADV
fcis-31302	325	16	reduce	reduce	VERB
fcis-31302	325	17	the	the	DET
fcis-31302	325	18	risk	risk	NOUN
fcis-31302	325	19	of	of	ADP
fcis-31302	325	20	data	datum	NOUN
fcis-31302	325	21	leakage	leakage	NOUN
fcis-31302	325	22	.	.	PUNCT
fcis-31302	326	1	ahuja	ahuja	PROPN
fcis-31302	326	2	processes	process	VERB
fcis-31302	326	3	twitter	twitter	NOUN
fcis-31302	326	4	data	datum	NOUN
fcis-31302	326	5	with	with	ADP
fcis-31302	326	6	differential	differential	ADJ
fcis-31302	326	7	privacy	privacy	NOUN
fcis-31302	326	8	to	to	PART
fcis-31302	326	9	ensure	ensure	VERB
fcis-31302	326	10	anonymity	anonymity	NOUN
fcis-31302	326	11	of	of	ADP
fcis-31302	326	12	user	user	NOUN
fcis-31302	326	13	identities	identity	NOUN
fcis-31302	326	14	[	[	X
fcis-31302	326	15	9	9	NUM
fcis-31302	326	16	]	]	PUNCT
fcis-31302	326	17	.	.	PUNCT
fcis-31302	327	1	future	future	ADJ
fcis-31302	327	2	research	research	NOUN
fcis-31302	327	3	can	can	AUX
fcis-31302	327	4	develop	develop	VERB
fcis-31302	327	5	embedded	embed	VERB
fcis-31302	327	6	privacy	privacy	NOUN
fcis-31302	327	7	protection	protection	NOUN
fcis-31302	327	8	modules	module	NOUN
fcis-31302	327	9	that	that	PRON
fcis-31302	327	10	can	can	AUX
fcis-31302	327	11	be	be	AUX
fcis-31302	327	12	integrated	integrate	VERB
fcis-31302	327	13	into	into	ADP
fcis-31302	327	14	multimodal	multimodal	ADJ
fcis-31302	327	15	fusion	fusion	NOUN
fcis-31302	327	16	systems	system	NOUN
fcis-31302	327	17	to	to	PART
fcis-31302	327	18	ensure	ensure	VERB
fcis-31302	327	19	real	real	ADJ
fcis-31302	327	20	-	-	PUNCT
fcis-31302	327	21	time	time	NOUN
fcis-31302	327	22	processing	processing	NOUN
fcis-31302	327	23	while	while	SCONJ
fcis-31302	327	24	meeting	meet	VERB
fcis-31302	327	25	regulatory	regulatory	ADJ
fcis-31302	327	26	requirements	requirement	NOUN
fcis-31302	327	27	such	such	ADJ
fcis-31302	327	28	as	as	ADP
fcis-31302	327	29	gdpr	gdpr	NOUN
fcis-31302	327	30	.	.	PUNCT
fcis-31302	328	1	developing	develop	VERB
fcis-31302	328	2	globally	globally	ADV
fcis-31302	328	3	unified	unified	ADJ
fcis-31302	328	4	ethical	ethical	ADJ
fcis-31302	328	5	guidelines	guideline	NOUN
fcis-31302	328	6	to	to	PART
fcis-31302	328	7	regulate	regulate	VERB
fcis-31302	328	8	the	the	DET
fcis-31302	328	9	use	use	NOUN
fcis-31302	328	10	of	of	ADP
fcis-31302	328	11	multimodal	multimodal	NOUN
fcis-31302	328	12	data	datum	NOUN
fcis-31302	328	13	is	be	AUX
fcis-31302	328	14	an	an	DET
fcis-31302	328	15	important	important	ADJ
fcis-31302	328	16	direction	direction	NOUN
fcis-31302	328	17	for	for	ADP
fcis-31302	328	18	future	future	ADJ
fcis-31302	328	19	research	research	NOUN
fcis-31302	328	20	[	[	X
fcis-31302	328	21	10	10	NUM
fcis-31302	328	22	]	]	PUNCT
fcis-31302	328	23	.	.	PUNCT
fcis-31302	329	1	6.5	6.5	NUM
fcis-31302	329	2	.	.	PUNCT
fcis-31302	329	3	promotion	promotion	NOUN
fcis-31302	329	4	of	of	ADP
fcis-31302	329	5	low	low	ADJ
fcis-31302	329	6	-	-	PUNCT
fcis-31302	329	7	cost	cost	NOUN
fcis-31302	329	8	technology	technology	NOUN
fcis-31302	329	9	the	the	DET
fcis-31302	329	10	monitoring	monitoring	NOUN
fcis-31302	329	11	capabilities	capability	NOUN
fcis-31302	329	12	of	of	ADP
fcis-31302	329	13	developing	develop	VERB
fcis-31302	329	14	countries	country	NOUN
fcis-31302	329	15	and	and	CCONJ
fcis-31302	329	16	remote	remote	ADJ
fcis-31302	329	17	areas	area	NOUN
fcis-31302	329	18	are	be	AUX
fcis-31302	329	19	limited	limit	VERB
fcis-31302	329	20	by	by	ADP
fcis-31302	329	21	insufficient	insufficient	ADJ
fcis-31302	329	22	coverage	coverage	NOUN
fcis-31302	329	23	of	of	ADP
fcis-31302	329	24	sensor	sensor	NOUN
fcis-31302	329	25	networks	network	NOUN
fcis-31302	329	26	and	and	CCONJ
fcis-31302	329	27	high	high	ADJ
fcis-31302	329	28	-	-	PUNCT
fcis-31302	329	29	cost	cost	NOUN
fcis-31302	329	30	equipment	equipment	NOUN
fcis-31302	329	31	.	.	PUNCT
fcis-31302	330	1	in	in	ADP
fcis-31302	330	2	the	the	DET
fcis-31302	330	3	future	future	NOUN
fcis-31302	330	4	,	,	PUNCT
fcis-31302	330	5	low	low	ADJ
fcis-31302	330	6	-	-	PUNCT
fcis-31302	330	7	cost	cost	NOUN
fcis-31302	330	8	technologies	technology	NOUN
fcis-31302	330	9	such	such	ADJ
fcis-31302	330	10	as	as	ADP
fcis-31302	330	11	low	low	ADJ
fcis-31302	330	12	-	-	PUNCT
fcis-31302	330	13	cost	cost	NOUN
fcis-31302	330	14	uavs	uavs	NOUN
fcis-31302	330	15	,	,	PUNCT
fcis-31302	330	16	open	open	ADJ
fcis-31302	330	17	-	-	PUNCT
fcis-31302	330	18	source	source	NOUN
fcis-31302	330	19	sensors	sensor	NOUN
fcis-31302	330	20	and	and	CCONJ
fcis-31302	330	21	edge	edge	NOUN
fcis-31302	330	22	computing	computing	NOUN
fcis-31302	330	23	devices	device	NOUN
fcis-31302	330	24	can	can	AUX
fcis-31302	330	25	be	be	AUX
fcis-31302	330	26	promoted	promote	VERB
fcis-31302	330	27	to	to	PART
fcis-31302	330	28	expand	expand	VERB
fcis-31302	330	29	the	the	DET
fcis-31302	330	30	monitoring	monitoring	NOUN
fcis-31302	330	31	range	range	NOUN
fcis-31302	330	32	.	.	PUNCT
fcis-31302	331	1	kerle	kerle	NOUN
fcis-31302	331	2	proposed	propose	VERB
fcis-31302	331	3	using	use	VERB
fcis-31302	331	4	low	low	ADJ
fcis-31302	331	5	-	-	PUNCT
fcis-31302	331	6	cost	cost	NOUN
fcis-31302	331	7	drone	drone	NOUN
fcis-31302	331	8	networks	network	NOUN
fcis-31302	331	9	for	for	ADP
fcis-31302	331	10	landslide	landslide	NOUN
fcis-31302	331	11	monitoring	monitoring	NOUN
fcis-31302	331	12	,	,	PUNCT
fcis-31302	331	13	significantly	significantly	ADV
fcis-31302	331	14	reducing	reduce	VERB
fcis-31302	331	15	deployment	deployment	NOUN
fcis-31302	331	16	costs	cost	NOUN
fcis-31302	331	17	[	[	X
fcis-31302	331	18	6	6	NUM
fcis-31302	331	19	]	]	PUNCT
fcis-31302	331	20	.	.	PUNCT
fcis-31302	332	1	open	open	ADJ
fcis-31302	332	2	-	-	PUNCT
fcis-31302	332	3	source	source	NOUN
fcis-31302	332	4	hardware	hardware	NOUN
fcis-31302	332	5	,	,	PUNCT
fcis-31302	332	6	such	such	ADJ
fcis-31302	332	7	as	as	ADP
fcis-31302	332	8	raspberry	raspberry	NOUN
fcis-31302	332	9	pi	pi	NOUN
fcis-31302	332	10	,	,	PUNCT
fcis-31302	332	11	and	and	CCONJ
fcis-31302	332	12	software	software	NOUN
fcis-31302	332	13	,	,	PUNCT
fcis-31302	332	14	such	such	ADJ
fcis-31302	332	15	as	as	ADP
fcis-31302	332	16	tensorflow	tensorflow	NOUN
fcis-31302	332	17	lite	lite	NOUN
fcis-31302	332	18	,	,	PUNCT
fcis-31302	332	19	can	can	AUX
fcis-31302	332	20	further	far	ADV
fcis-31302	332	21	lower	lower	VERB
fcis-31302	332	22	the	the	DET
fcis-31302	332	23	technological	technological	ADJ
fcis-31302	332	24	threshold	threshold	NOUN
fcis-31302	332	25	and	and	CCONJ
fcis-31302	332	26	support	support	VERB
fcis-31302	332	27	disaster	disaster	NOUN
fcis-31302	332	28	monitoring	monitoring	NOUN
fcis-31302	332	29	in	in	ADP
fcis-31302	332	30	resource	resource	NOUN
fcis-31302	332	31	constrained	constrain	VERB
fcis-31302	332	32	areas	area	NOUN
fcis-31302	332	33	.	.	PUNCT
fcis-31302	333	1	future	future	ADJ
fcis-31302	333	2	research	research	NOUN
fcis-31302	333	3	can	can	AUX
fcis-31302	333	4	explore	explore	VERB
fcis-31302	333	5	low	low	ADJ
fcis-31302	333	6	-	-	PUNCT
fcis-31302	333	7	cost	cost	NOUN
fcis-31302	333	8	sensor	sensor	NOUN
fcis-31302	333	9	networks	network	NOUN
fcis-31302	333	10	based	base	VERB
fcis-31302	333	11	on	on	ADP
fcis-31302	333	12	the	the	DET
fcis-31302	333	13	internet	internet	NOUN
fcis-31302	333	14	of	of	ADP
fcis-31302	333	15	things	thing	NOUN
fcis-31302	333	16	,	,	PUNCT
fcis-31302	333	17	combined	combine	VERB
fcis-31302	333	18	with	with	ADP
fcis-31302	333	19	lightweight	lightweight	ADJ
fcis-31302	333	20	multimodal	multimodal	NOUN
fcis-31302	333	21	models	model	NOUN
fcis-31302	333	22	,	,	PUNCT
fcis-31302	333	23	to	to	PART
fcis-31302	333	24	achieve	achieve	VERB
fcis-31302	333	25	efficient	efficient	ADJ
fcis-31302	333	26	and	and	CCONJ
fcis-31302	333	27	universal	universal	ADJ
fcis-31302	333	28	disaster	disaster	NOUN
fcis-31302	333	29	monitoring	monitoring	NOUN
fcis-31302	333	30	systems	system	NOUN
fcis-31302	333	31	.	.	PUNCT
fcis-31302	334	1	7	7	X
fcis-31302	334	2	.	.	X
fcis-31302	334	3	conclusion	conclusion	NOUN
fcis-31302	334	4	multimodal	multimodal	NOUN
fcis-31302	334	5	information	information	NOUN
fcis-31302	334	6	fusion	fusion	NOUN
fcis-31302	334	7	,	,	PUNCT
fcis-31302	334	8	as	as	SCONJ
fcis-31302	334	9	the	the	DET
fcis-31302	334	10	core	core	NOUN
fcis-31302	334	11	technology	technology	NOUN
fcis-31302	334	12	for	for	ADP
fcis-31302	334	13	real	real	ADJ
fcis-31302	334	14	-	-	PUNCT
fcis-31302	334	15	time	time	NOUN
fcis-31302	334	16	intelligent	intelligent	ADJ
fcis-31302	334	17	monitoring	monitoring	NOUN
fcis-31302	334	18	and	and	CCONJ
fcis-31302	334	19	early	early	ADJ
fcis-31302	334	20	warning	warning	NOUN
fcis-31302	334	21	of	of	ADP
fcis-31302	334	22	natural	natural	ADJ
fcis-31302	334	23	disasters	disaster	NOUN
fcis-31302	334	24	,	,	PUNCT
fcis-31302	334	25	has	have	AUX
fcis-31302	334	26	made	make	VERB
fcis-31302	334	27	significant	significant	ADJ
fcis-31302	334	28	progress	progress	NOUN
fcis-31302	334	29	in	in	ADP
fcis-31302	334	30	the	the	DET
fcis-31302	334	31	past	past	ADJ
fcis-31302	334	32	decade	decade	NOUN
fcis-31302	334	33	.	.	PUNCT
fcis-31302	335	1	by	by	ADP
fcis-31302	335	2	integrating	integrate	VERB
fcis-31302	335	3	various	various	ADJ
fcis-31302	335	4	heterogeneous	heterogeneous	ADJ
fcis-31302	335	5	data	datum	NOUN
fcis-31302	335	6	sources	source	NOUN
fcis-31302	335	7	such	such	ADJ
fcis-31302	335	8	as	as	ADP
fcis-31302	335	9	remote	remote	ADJ
fcis-31302	335	10	sensing	sensing	NOUN
fcis-31302	335	11	images	image	NOUN
fcis-31302	335	12	,	,	PUNCT
fcis-31302	335	13	ground	ground	NOUN
fcis-31302	335	14	sensor	sensor	NOUN
fcis-31302	335	15	data	datum	NOUN
fcis-31302	335	16	,	,	PUNCT
fcis-31302	335	17	social	social	ADJ
fcis-31302	335	18	media	medium	NOUN
fcis-31302	335	19	texts	text	NOUN
fcis-31302	335	20	,	,	PUNCT
fcis-31302	335	21	and	and	CCONJ
fcis-31302	335	22	drone	drone	NOUN
fcis-31302	335	23	videos	video	NOUN
fcis-31302	335	24	,	,	PUNCT
fcis-31302	335	25	this	this	DET
fcis-31302	335	26	technology	technology	NOUN
fcis-31302	335	27	significantly	significantly	ADV
fcis-31302	335	28	improves	improve	VERB
fcis-31302	335	29	the	the	DET
fcis-31302	335	30	accuracy	accuracy	NOUN
fcis-31302	335	31	of	of	ADP
fcis-31302	335	32	disaster	disaster	NOUN
fcis-31302	335	33	monitoring	monitoring	NOUN
fcis-31302	335	34	and	and	CCONJ
fcis-31302	335	35	the	the	DET
fcis-31302	335	36	timeliness	timeliness	NOUN
fcis-31302	335	37	of	of	ADP
fcis-31302	335	38	early	early	ADJ
fcis-31302	335	39	warning	warning	NOUN
fcis-31302	335	40	.	.	PUNCT
fcis-31302	336	1	these	these	DET
fcis-31302	336	2	advances	advance	NOUN
fcis-31302	336	3	are	be	AUX
fcis-31302	336	4	not	not	PART
fcis-31302	336	5	only	only	ADV
fcis-31302	336	6	reflected	reflect	VERB
fcis-31302	336	7	in	in	ADP
fcis-31302	336	8	the	the	DET
fcis-31302	336	9	improvement	improvement	NOUN
fcis-31302	336	10	of	of	ADP
fcis-31302	336	11	theoretical	theoretical	ADJ
fcis-31302	336	12	foundations	foundation	NOUN
fcis-31302	336	13	and	and	CCONJ
fcis-31302	336	14	technical	technical	ADJ
fcis-31302	336	15	frameworks	framework	NOUN
fcis-31302	336	16	,	,	PUNCT
fcis-31302	336	17	but	but	CCONJ
fcis-31302	336	18	also	also	ADV
fcis-31302	336	19	in	in	ADP
fcis-31302	336	20	their	their	PRON
fcis-31302	336	21	successful	successful	ADJ
fcis-31302	336	22	application	application	NOUN
fcis-31302	336	23	in	in	ADP
fcis-31302	336	24	monitoring	monitor	VERB
fcis-31302	336	25	typical	typical	ADJ
fcis-31302	336	26	natural	natural	ADJ
fcis-31302	336	27	disasters	disaster	NOUN
fcis-31302	336	28	such	such	ADJ
fcis-31302	336	29	as	as	ADP
fcis-31302	336	30	earthquakes	earthquake	NOUN
fcis-31302	336	31	,	,	PUNCT
fcis-31302	336	32	floods	flood	NOUN
fcis-31302	336	33	,	,	PUNCT
fcis-31302	336	34	and	and	CCONJ
fcis-31302	336	35	typhoons	typhoon	NOUN
fcis-31302	336	36	.	.	PUNCT
fcis-31302	337	1	for	for	ADP
fcis-31302	337	2	example	example	NOUN
fcis-31302	337	3	,	,	PUNCT
fcis-31302	337	4	the	the	DET
fcis-31302	337	5	flood	flood	NOUN
fcis-31302	337	6	monitoring	monitoring	NOUN
fcis-31302	337	7	system	system	NOUN
fcis-31302	337	8	that	that	PRON
fcis-31302	337	9	integrates	integrate	VERB
fcis-31302	337	10	satellite	satellite	NOUN
fcis-31302	337	11	remote	remote	ADJ
fcis-31302	337	12	sensing	sensing	NOUN
fcis-31302	337	13	and	and	CCONJ
fcis-31302	337	14	hydrological	hydrological	ADJ
fcis-31302	337	15	station	station	NOUN
fcis-31302	337	16	data	datum	NOUN
fcis-31302	337	17	has	have	AUX
fcis-31302	337	18	achieved	achieve	VERB
fcis-31302	337	19	an	an	DET
fcis-31302	337	20	accuracy	accuracy	NOUN
fcis-31302	337	21	rate	rate	NOUN
fcis-31302	337	22	of	of	ADP
fcis-31302	337	23	over	over	ADP
fcis-31302	337	24	90	90	NUM
fcis-31302	337	25	%	%	NOUN
fcis-31302	337	26	;	;	PUNCT
fcis-31302	337	27	the	the	DET
fcis-31302	337	28	earthquake	earthquake	NOUN
fcis-31302	337	29	warning	warning	NOUN
fcis-31302	337	30	system	system	NOUN
fcis-31302	337	31	based	base	VERB
fcis-31302	337	32	on	on	ADP
fcis-31302	337	33	deep	deep	ADJ
fcis-31302	337	34	learning	learning	NOUN
fcis-31302	337	35	can	can	AUX
fcis-31302	337	36	provide	provide	VERB
fcis-31302	337	37	epicenter	epicenter	NOUN
fcis-31302	337	38	localization	localization	NOUN
fcis-31302	337	39	in	in	ADP
fcis-31302	337	40	seconds	second	NOUN
fcis-31302	337	41	,	,	PUNCT
fcis-31302	337	42	greatly	greatly	ADV
fcis-31302	337	43	improving	improve	VERB
fcis-31302	337	44	response	response	NOUN
fcis-31302	337	45	speed	speed	NOUN
fcis-31302	337	46	.	.	PUNCT
fcis-31302	338	1	multimodal	multimodal	ADJ
fcis-31302	338	2	information	information	NOUN
fcis-31302	338	3	fusion	fusion	NOUN
fcis-31302	338	4	technology	technology	NOUN
fcis-31302	338	5	has	have	AUX
fcis-31302	338	6	shown	show	VERB
fcis-31302	338	7	great	great	ADJ
fcis-31302	338	8	potential	potential	NOUN
fcis-31302	338	9	in	in	ADP
fcis-31302	338	10	improving	improve	VERB
fcis-31302	338	11	early	early	ADJ
fcis-31302	338	12	warning	warning	NOUN
fcis-31302	338	13	accuracy	accuracy	NOUN
fcis-31302	338	14	,	,	PUNCT
fcis-31302	338	15	11	11	NUM
fcis-31302	338	16	timeliness	timeliness	NOUN
fcis-31302	338	17	,	,	PUNCT
fcis-31302	338	18	and	and	CCONJ
fcis-31302	338	19	disaster	disaster	NOUN
fcis-31302	338	20	reduction	reduction	NOUN
fcis-31302	338	21	effectiveness	effectiveness	NOUN
fcis-31302	338	22	.	.	PUNCT
fcis-31302	339	1	on	on	ADP
fcis-31302	339	2	the	the	DET
fcis-31302	339	3	one	one	NUM
fcis-31302	339	4	hand	hand	NOUN
fcis-31302	339	5	,	,	PUNCT
fcis-31302	339	6	it	it	PRON
fcis-31302	339	7	overcomes	overcome	VERB
fcis-31302	339	8	the	the	DET
fcis-31302	339	9	limitations	limitation	NOUN
fcis-31302	339	10	of	of	ADP
fcis-31302	339	11	a	a	DET
fcis-31302	339	12	single	single	ADJ
fcis-31302	339	13	data	datum	NOUN
fcis-31302	339	14	source	source	NOUN
fcis-31302	339	15	by	by	ADP
fcis-31302	339	16	integrating	integrate	VERB
fcis-31302	339	17	complementary	complementary	ADJ
fcis-31302	339	18	features	feature	NOUN
fcis-31302	339	19	,	,	PUNCT
fcis-31302	339	20	providing	provide	VERB
fcis-31302	339	21	more	more	ADV
fcis-31302	339	22	comprehensive	comprehensive	ADJ
fcis-31302	339	23	information	information	NOUN
fcis-31302	339	24	coverage	coverage	NOUN
fcis-31302	339	25	.	.	PUNCT
fcis-31302	340	1	on	on	ADP
fcis-31302	340	2	the	the	DET
fcis-31302	340	3	other	other	ADJ
fcis-31302	340	4	hand	hand	NOUN
fcis-31302	340	5	,	,	PUNCT
fcis-31302	340	6	with	with	ADP
fcis-31302	340	7	the	the	DET
fcis-31302	340	8	advancement	advancement	NOUN
fcis-31302	340	9	of	of	ADP
fcis-31302	340	10	deep	deep	ADJ
fcis-31302	340	11	learning	learning	NOUN
fcis-31302	340	12	and	and	CCONJ
fcis-31302	340	13	artificial	artificial	ADJ
fcis-31302	340	14	intelligence	intelligence	NOUN
fcis-31302	340	15	algorithms	algorithm	NOUN
fcis-31302	340	16	,	,	PUNCT
fcis-31302	340	17	especially	especially	ADV
fcis-31302	340	18	the	the	DET
fcis-31302	340	19	application	application	NOUN
fcis-31302	340	20	of	of	ADP
fcis-31302	340	21	transformer	transformer	NOUN
fcis-31302	340	22	models	model	NOUN
fcis-31302	340	23	and	and	CCONJ
fcis-31302	340	24	graph	graph	VERB
fcis-31302	340	25	neural	neural	ADJ
fcis-31302	340	26	networks	network	NOUN
fcis-31302	340	27	(	(	PUNCT
fcis-31302	340	28	gnn	gnn	PROPN
fcis-31302	340	29	)	)	PUNCT
fcis-31302	340	30	,	,	PUNCT
fcis-31302	340	31	a	a	PRON
fcis-31302	340	32	deeper	deep	ADJ
fcis-31302	340	33	understanding	understanding	NOUN
fcis-31302	340	34	and	and	CCONJ
fcis-31302	340	35	predictive	predictive	ADJ
fcis-31302	340	36	ability	ability	NOUN
fcis-31302	340	37	have	have	AUX
fcis-31302	340	38	been	be	AUX
fcis-31302	340	39	gained	gain	VERB
fcis-31302	340	40	for	for	ADP
fcis-31302	340	41	complex	complex	ADJ
fcis-31302	340	42	and	and	CCONJ
fcis-31302	340	43	everchanging	everchange	VERB
fcis-31302	340	44	disaster	disaster	NOUN
fcis-31302	340	45	environments	environment	NOUN
fcis-31302	340	46	.	.	PUNCT
fcis-31302	341	1	in	in	ADP
fcis-31302	341	2	addition	addition	NOUN
fcis-31302	341	3	,	,	PUNCT
fcis-31302	341	4	the	the	DET
fcis-31302	341	5	development	development	NOUN
fcis-31302	341	6	of	of	ADP
fcis-31302	341	7	edge	edge	NOUN
fcis-31302	341	8	computing	computing	NOUN
fcis-31302	341	9	and	and	CCONJ
fcis-31302	341	10	federated	federated	ADJ
fcis-31302	341	11	learning	learning	NOUN
fcis-31302	341	12	also	also	ADV
fcis-31302	341	13	provides	provide	VERB
fcis-31302	341	14	new	new	ADJ
fcis-31302	341	15	solutions	solution	NOUN
fcis-31302	341	16	for	for	ADP
fcis-31302	341	17	solving	solve	VERB
fcis-31302	341	18	real	real	ADJ
fcis-31302	341	19	-	-	PUNCT
fcis-31302	341	20	time	time	NOUN
fcis-31302	341	21	and	and	CCONJ
fcis-31302	341	22	privacy	privacy	NOUN
fcis-31302	341	23	protection	protection	NOUN
fcis-31302	341	24	problems	problem	NOUN
fcis-31302	341	25	,	,	PUNCT
fcis-31302	341	26	further	far	ADV
fcis-31302	341	27	enhancing	enhance	VERB
fcis-31302	341	28	the	the	DET
fcis-31302	341	29	practicability	practicability	NOUN
fcis-31302	341	30	and	and	CCONJ
fcis-31302	341	31	reliability	reliability	NOUN
fcis-31302	341	32	of	of	ADP
fcis-31302	341	33	the	the	DET
fcis-31302	341	34	system	system	NOUN
fcis-31302	341	35	.	.	PUNCT
fcis-31302	342	1	with	with	ADP
fcis-31302	342	2	the	the	DET
fcis-31302	342	3	construction	construction	NOUN
fcis-31302	342	4	of	of	ADP
fcis-31302	342	5	adaptive	adaptive	ADJ
fcis-31302	342	6	fusion	fusion	NOUN
fcis-31302	342	7	algorithms	algorithm	NOUN
fcis-31302	342	8	,	,	PUNCT
fcis-31302	342	9	generative	generative	NOUN
fcis-31302	342	10	ai	ai	PROPN
fcis-31302	342	11	technology	technology	NOUN
fcis-31302	342	12	,	,	PUNCT
fcis-31302	342	13	global	global	ADJ
fcis-31302	342	14	collaborative	collaborative	ADJ
fcis-31302	342	15	networks	network	NOUN
fcis-31302	342	16	,	,	PUNCT
fcis-31302	342	17	and	and	CCONJ
fcis-31302	342	18	strengthened	strengthen	VERB
fcis-31302	342	19	privacy	privacy	NOUN
fcis-31302	342	20	protection	protection	NOUN
fcis-31302	342	21	measures	measure	NOUN
fcis-31302	342	22	,	,	PUNCT
fcis-31302	342	23	multimodal	multimodal	ADJ
fcis-31302	342	24	information	information	NOUN
fcis-31302	342	25	fusion	fusion	NOUN
fcis-31302	342	26	will	will	AUX
fcis-31302	342	27	play	play	VERB
fcis-31302	342	28	a	a	DET
fcis-31302	342	29	more	more	ADV
fcis-31302	342	30	critical	critical	ADJ
fcis-31302	342	31	role	role	NOUN
fcis-31302	342	32	in	in	ADP
fcis-31302	342	33	the	the	DET
fcis-31302	342	34	field	field	NOUN
fcis-31302	342	35	of	of	ADP
fcis-31302	342	36	natural	natural	ADJ
fcis-31302	342	37	disaster	disaster	NOUN
fcis-31302	342	38	monitoring	monitoring	NOUN
fcis-31302	342	39	and	and	CCONJ
fcis-31302	342	40	early	early	ADJ
fcis-31302	342	41	warning	warning	NOUN
fcis-31302	342	42	.	.	PUNCT
fcis-31302	343	1	in	in	ADP
fcis-31302	343	2	order	order	NOUN
fcis-31302	343	3	to	to	PART
fcis-31302	343	4	cope	cope	VERB
fcis-31302	343	5	with	with	ADP
fcis-31302	343	6	the	the	DET
fcis-31302	343	7	increasingly	increasingly	ADV
fcis-31302	343	8	complex	complex	ADJ
fcis-31302	343	9	challenges	challenge	NOUN
fcis-31302	343	10	of	of	ADP
fcis-31302	343	11	disasters	disaster	NOUN
fcis-31302	343	12	,	,	PUNCT
fcis-31302	343	13	there	there	PRON
fcis-31302	343	14	is	be	VERB
fcis-31302	343	15	an	an	DET
fcis-31302	343	16	urgent	urgent	ADJ
fcis-31302	343	17	need	need	NOUN
fcis-31302	343	18	for	for	ADP
fcis-31302	343	19	interdisciplinary	interdisciplinary	ADJ
fcis-31302	343	20	cooperation	cooperation	NOUN
fcis-31302	343	21	and	and	CCONJ
fcis-31302	343	22	technological	technological	ADJ
fcis-31302	343	23	innovation	innovation	NOUN
fcis-31302	343	24	.	.	PUNCT
fcis-31302	344	1	experts	expert	NOUN
fcis-31302	344	2	from	from	ADP
fcis-31302	344	3	multiple	multiple	ADJ
fcis-31302	344	4	fields	field	NOUN
fcis-31302	344	5	such	such	ADJ
fcis-31302	344	6	as	as	ADP
fcis-31302	344	7	earth	earth	NOUN
fcis-31302	344	8	science	science	NOUN
fcis-31302	344	9	,	,	PUNCT
fcis-31302	344	10	data	data	NOUN
fcis-31302	344	11	science	science	NOUN
fcis-31302	344	12	,	,	PUNCT
fcis-31302	344	13	and	and	CCONJ
fcis-31302	344	14	artificial	artificial	ADJ
fcis-31302	344	15	intelligence	intelligence	NOUN
fcis-31302	344	16	should	should	AUX
fcis-31302	344	17	work	work	VERB
fcis-31302	344	18	together	together	ADV
fcis-31302	344	19	to	to	PART
fcis-31302	344	20	overcome	overcome	VERB
fcis-31302	344	21	challenges	challenge	NOUN
fcis-31302	344	22	such	such	ADJ
fcis-31302	344	23	as	as	ADP
fcis-31302	344	24	data	datum	NOUN
fcis-31302	344	25	heterogeneity	heterogeneity	NOUN
fcis-31302	344	26	,	,	PUNCT
fcis-31302	344	27	computational	computational	ADJ
fcis-31302	344	28	complexity	complexity	NOUN
fcis-31302	344	29	,	,	PUNCT
fcis-31302	344	30	and	and	CCONJ
fcis-31302	344	31	insufficient	insufficient	ADJ
fcis-31302	344	32	model	model	NOUN
fcis-31302	344	33	generalization	generalization	NOUN
fcis-31302	344	34	ability	ability	NOUN
fcis-31302	344	35	.	.	PUNCT
fcis-31302	345	1	at	at	ADP
fcis-31302	345	2	the	the	DET
fcis-31302	345	3	same	same	ADJ
fcis-31302	345	4	time	time	NOUN
fcis-31302	345	5	,	,	PUNCT
fcis-31302	345	6	promoting	promote	VERB
fcis-31302	345	7	the	the	DET
fcis-31302	345	8	popularization	popularization	NOUN
fcis-31302	345	9	of	of	ADP
fcis-31302	345	10	low	low	ADJ
fcis-31302	345	11	-	-	PUNCT
fcis-31302	345	12	cost	cost	NOUN
fcis-31302	345	13	sensor	sensor	NOUN
fcis-31302	345	14	technology	technology	NOUN
fcis-31302	345	15	and	and	CCONJ
fcis-31302	345	16	drone	drone	NOUN
fcis-31302	345	17	networks	network	NOUN
fcis-31302	345	18	will	will	AUX
fcis-31302	345	19	help	help	VERB
fcis-31302	345	20	expand	expand	VERB
fcis-31302	345	21	the	the	DET
fcis-31302	345	22	disaster	disaster	NOUN
fcis-31302	345	23	monitoring	monitor	VERB
fcis-31302	345	24	capabilities	capability	NOUN
fcis-31302	345	25	of	of	ADP
fcis-31302	345	26	developing	develop	VERB
fcis-31302	345	27	countries	country	NOUN
fcis-31302	345	28	and	and	CCONJ
fcis-31302	345	29	regions	region	NOUN
fcis-31302	345	30	,	,	PUNCT
fcis-31302	345	31	and	and	CCONJ
fcis-31302	345	32	achieve	achieve	VERB
fcis-31302	345	33	a	a	DET
fcis-31302	345	34	truly	truly	ADV
fcis-31302	345	35	global	global	ADJ
fcis-31302	345	36	disaster	disaster	NOUN
fcis-31302	345	37	management	management	NOUN
fcis-31302	345	38	network	network	NOUN
fcis-31302	345	39	.	.	PUNCT
fcis-31302	346	1	acknowledgments	acknowledgment	NOUN
fcis-31302	346	2	this	this	DET
fcis-31302	346	3	paper	paper	NOUN
fcis-31302	346	4	was	be	AUX
fcis-31302	346	5	supported	support	VERB
fcis-31302	346	6	by	by	ADP
fcis-31302	346	7	wenzhou	wenzhou	PROPN
fcis-31302	346	8	major	major	PROPN
fcis-31302	346	9	science	science	PROPN
fcis-31302	346	10	and	and	CCONJ
fcis-31302	346	11	technology	technology	NOUN
fcis-31302	346	12	innovation	innovation	NOUN
fcis-31302	346	13	project	project	NOUN
fcis-31302	346	14	of	of	ADP
fcis-31302	346	15	wenzhou	wenzhou	PROPN
fcis-31302	346	16	municipal	municipal	PROPN
fcis-31302	346	17	science	science	PROPN
fcis-31302	346	18	and	and	CCONJ
fcis-31302	346	19	technology	technology	NOUN
fcis-31302	346	20	bureau	bureau	NOUN
fcis-31302	346	21	in	in	ADP
fcis-31302	346	22	2024	2024	NUM
fcis-31302	346	23	(	(	PUNCT
fcis-31302	346	24	no	no	INTJ
fcis-31302	346	25	.	.	PUNCT
fcis-31302	347	1	zf2024008	zf2024008	PROPN
fcis-31302	347	2	)	)	PUNCT
fcis-31302	347	3	.	.	PUNCT
fcis-31302	348	1	references	reference	NOUN
fcis-31302	348	2	[	[	X
fcis-31302	348	3	1	1	NUM
fcis-31302	348	4	]	]	X
fcis-31302	348	5	undrr	undrr	NOUN
fcis-31302	348	6	.	.	PUNCT
fcis-31302	349	1	human	human	ADJ
fcis-31302	349	2	cost	cost	NOUN
fcis-31302	349	3	of	of	ADP
fcis-31302	349	4	disasters	disaster	NOUN
fcis-31302	349	5	:	:	PUNCT
fcis-31302	349	6	an	an	DET
fcis-31302	349	7	overview	overview	NOUN
fcis-31302	349	8	of	of	ADP
fcis-31302	349	9	the	the	DET
fcis-31302	349	10	last	last	ADJ
fcis-31302	349	11	20	20	NUM
fcis-31302	349	12	years	year	NOUN
fcis-31302	349	13	.	.	PUNCT
fcis-31302	350	1	reduction	reduction	NOUN
fcis-31302	350	2	,	,	PUNCT
fcis-31302	350	3	united	united	PROPN
fcis-31302	350	4	nations	nations	PROPN
fcis-31302	350	5	off	off	ADP
fcis-31302	350	6	disaster	disaster	NOUN
fcis-31302	350	7	risk	risk	NOUN
fcis-31302	350	8	.	.	PUNCT
fcis-31302	351	1	published	publish	VERB
fcis-31302	351	2	online	online	ADV
fcis-31302	351	3	2020	2020	NUM
fcis-31302	351	4	.	.	PUNCT
fcis-31302	352	1	[	[	X
fcis-31302	352	2	2	2	NUM
fcis-31302	352	3	]	]	PUNCT
fcis-31302	352	4	sghaier	sghai	ADJ
fcis-31302	352	5	m.	m.	NOUN
fcis-31302	352	6	o.	o.	PROPN
fcis-31302	352	7	,	,	PUNCT
fcis-31302	352	8	foucher	foucher	NOUN
fcis-31302	352	9	s.	s.	PROPN
fcis-31302	352	10	lt	lt	PROPN
fcis-31302	352	11	.	.	PROPN
fcis-31302	352	12	multimodal	multimodal	ADJ
fcis-31302	352	13	approach	approach	NOUN
fcis-31302	352	14	for	for	ADP
fcis-31302	352	15	flood	flood	NOUN
fcis-31302	352	16	monitoring	monitoring	NOUN
fcis-31302	352	17	from	from	ADP
fcis-31302	352	18	time	time	NOUN
fcis-31302	352	19	-	-	PUNCT
fcis-31302	352	20	series	series	NOUN
fcis-31302	352	21	satellite	satellite	NOUN
fcis-31302	352	22	images	image	NOUN
fcis-31302	352	23	combining	combine	VERB
fcis-31302	352	24	attribute	attribute	NOUN
fcis-31302	352	25	filters	filter	NOUN
fcis-31302	352	26	and	and	CCONJ
fcis-31302	352	27	kohonen	kohonen	PROPN
fcis-31302	352	28	map	map	NOUN
fcis-31302	352	29	.	.	PUNCT
fcis-31302	353	1	int	int	PROPN
fcis-31302	353	2	geosci	geosci	PROPN
fcis-31302	353	3	remote	remote	PROPN
fcis-31302	353	4	sens	sen	NOUN
fcis-31302	353	5	symp	symp	PROPN
fcis-31302	353	6	.	.	PUNCT
fcis-31302	353	7	published	publish	VERB
fcis-31302	353	8	online	online	ADJ
fcis-31302	353	9	2019	2019	NUM
fcis-31302	353	10	.	.	PUNCT
fcis-31302	354	1	doi:10.1109/	doi:10.1109/	PROPN
fcis-31302	354	2	igarss	igarss	VERB
fcis-31302	354	3	.	.	PUNCT
fcis-31302	355	1	2019	2019	NUM
fcis-31302	355	2	.	.	PUNCT
fcis-31302	356	1	8899289	8899289	NUM
fcis-31302	356	2	.	.	PUNCT
fcis-31302	357	1	[	[	X
fcis-31302	357	2	3	3	NUM
fcis-31302	357	3	]	]	X
fcis-31302	357	4	goodfellow	goodfellow	PROPN
fcis-31302	357	5	,	,	PUNCT
fcis-31302	357	6	i.	i.	PROPN
fcis-31302	357	7	,	,	PUNCT
fcis-31302	357	8	bengio	bengio	PROPN
fcis-31302	357	9	,	,	PUNCT
fcis-31302	357	10	y.	y.	PROPN
fcis-31302	357	11	,	,	PUNCT
fcis-31302	357	12	courville	courville	ADJ
fcis-31302	357	13	a.	a.	NOUN
fcis-31302	357	14	deep	deep	ADJ
fcis-31302	357	15	learning	learning	NOUN
fcis-31302	357	16	.	.	PUNCT
fcis-31302	358	1	mit	mit	PROPN
fcis-31302	358	2	press	press	PROPN
fcis-31302	358	3	.	.	PUNCT
fcis-31302	358	4	published	publish	VERB
fcis-31302	358	5	online	online	ADJ
fcis-31302	358	6	2016	2016	NUM
fcis-31302	358	7	.	.	PUNCT
fcis-31302	359	1	[	[	X
fcis-31302	359	2	4	4	NUM
fcis-31302	359	3	]	]	X
fcis-31302	359	4	vaswani	vaswani	ADJ
fcis-31302	359	5	a.	a.	NOUN
fcis-31302	359	6	,	,	PUNCT
fcis-31302	359	7	shazeer	shazeer	PROPN
fcis-31302	359	8	n.	n.	PROPN
fcis-31302	359	9	pn	pn	PROPN
fcis-31302	359	10	.	.	PROPN
fcis-31302	359	11	attention	attention	NOUN
fcis-31302	359	12	is	be	AUX
fcis-31302	359	13	all	all	PRON
fcis-31302	359	14	you	you	PRON
fcis-31302	359	15	need	need	VERB
fcis-31302	359	16	.	.	PUNCT
fcis-31302	360	1	adv	adv	PROPN
fcis-31302	360	2	neural	neural	PROPN
fcis-31302	360	3	inf	inf	PROPN
fcis-31302	360	4	process	process	NOUN
fcis-31302	360	5	syst	syst	NOUN
fcis-31302	360	6	.	.	PUNCT
fcis-31302	360	7	2017	2017	NUM
fcis-31302	360	8	;	;	PUNCT
fcis-31302	360	9	30:5998	30:5998	NUM
fcis-31302	360	10	-	-	SYM
fcis-31302	360	11	6008	6008	NUM
fcis-31302	360	12	.	.	PUNCT
fcis-31302	361	1	[	[	X
fcis-31302	361	2	5	5	NUM
fcis-31302	361	3	]	]	X
fcis-31302	361	4	allen	allen	PROPN
fcis-31302	361	5	r	r	PROPN
fcis-31302	361	6	m	m	PROPN
fcis-31302	361	7	kh	kh	NOUN
fcis-31302	361	8	.	.	PUNCT
fcis-31302	362	1	the	the	DET
fcis-31302	362	2	potential	potential	NOUN
fcis-31302	362	3	for	for	ADP
fcis-31302	362	4	earthquake	earthquake	NOUN
fcis-31302	362	5	early	early	ADV
fcis-31302	362	6	warning	warning	NOUN
fcis-31302	362	7	in	in	ADP
fcis-31302	362	8	southern	southern	ADJ
fcis-31302	362	9	california	california	PROPN
fcis-31302	362	10	.	.	PUNCT
fcis-31302	363	1	science	science	NOUN
fcis-31302	363	2	(	(	PUNCT
fcis-31302	363	3	80	80	NUM
fcis-31302	363	4	)	)	PUNCT
fcis-31302	363	5	.	.	PUNCT
fcis-31302	364	1	2003;300(5620):786	2003;300(5620):786	NUM
fcis-31302	364	2	-	-	PUNCT
fcis-31302	364	3	789	789	NUM
fcis-31302	364	4	.	.	PUNCT
fcis-31302	365	1	doi:10.1126	doi:10.1126	PROPN
fcis-31302	365	2	/	/	SYM
fcis-31302	365	3	science.1080912	science.1080912	PROPN
fcis-31302	365	4	.	.	PUNCT
fcis-31302	366	1	[	[	X
fcis-31302	366	2	6	6	NUM
fcis-31302	366	3	]	]	X
fcis-31302	366	4	zhou	zhou	PROPN
fcis-31302	366	5	y.	y.	PROPN
fcis-31302	366	6	,	,	PUNCT
fcis-31302	366	7	guo	guo	PROPN
fcis-31302	366	8	s.	s.	PROPN
fcis-31302	366	9	lw	lw	PROPN
fcis-31302	366	10	.	.	PUNCT
fcis-31302	366	11	aerospace	aerospace	PROPN
fcis-31302	366	12	remote	remote	ADJ
fcis-31302	366	13	sensing	sense	VERB
fcis-31302	366	14	technology	technology	NOUN
fcis-31302	366	15	and	and	CCONJ
fcis-31302	366	16	major	major	ADJ
fcis-31302	366	17	natural	natural	ADJ
fcis-31302	366	18	disaster	disaster	NOUN
fcis-31302	366	19	management	management	NOUN
fcis-31302	366	20	.	.	PUNCT
fcis-31302	367	1	cities	city	NOUN
fcis-31302	367	2	disaster	disaster	PROPN
fcis-31302	367	3	reduct	reduct	PROPN
fcis-31302	367	4	.	.	PUNCT
fcis-31302	368	1	2018	2018	NUM
fcis-31302	368	2	;	;	PUNCT
fcis-31302	368	3	6:5	6:5	NUM
fcis-31302	368	4	.	.	PUNCT
fcis-31302	368	5	doi:10.3969	doi:10.3969	NOUN
fcis-31302	368	6	/	/	SYM
fcis-31302	368	7	j.issn.1671	j.issn.1671	NOUN
fcis-31302	368	8	-	-	PUNCT
fcis-31302	368	9	0495.2018.06.017	0495.2018.06.017	NOUN
fcis-31302	368	10	.	.	PUNCT
fcis-31302	369	1	[	[	X
fcis-31302	369	2	7	7	NUM
fcis-31302	369	3	]	]	X
fcis-31302	369	4	hall	hall	NOUN
fcis-31302	370	1	d	d	PROPN
fcis-31302	370	2	l	l	PROPN
fcis-31302	371	1	lj	lj	PROPN
fcis-31302	371	2	.	.	PUNCT
fcis-31302	372	1	an	an	DET
fcis-31302	372	2	introduction	introduction	NOUN
fcis-31302	372	3	to	to	ADP
fcis-31302	372	4	multisensor	multisensor	NOUN
fcis-31302	372	5	data	datum	NOUN
fcis-31302	372	6	fusion	fusion	NOUN
fcis-31302	372	7	.	.	PUNCT
fcis-31302	373	1	proc	proc	PROPN
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fcis-31302	373	3	.	.	PUNCT
fcis-31302	374	1	1997;85(1):6	1997;85(1):6	NUM
fcis-31302	374	2	-	-	PUNCT
fcis-31302	374	3	23	23	NUM
fcis-31302	374	4	.	.	PUNCT
fcis-31302	375	1	doi:10.1109/5.554205	doi:10.1109/5.554205	PROPN
fcis-31302	375	2	.	.	PUNCT
fcis-31302	376	1	[	[	X
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fcis-31302	376	6	,	,	PUNCT
fcis-31302	376	7	tang	tang	PROPN
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fcis-31302	376	9	lc	lc	PROPN
fcis-31302	376	10	.	.	PUNCT
fcis-31302	377	1	a	a	DET
fcis-31302	377	2	typhoon	typhoon	NOUN
fcis-31302	377	3	trajectory	trajectory	NOUN
fcis-31302	377	4	prediction	prediction	NOUN
fcis-31302	377	5	model	model	NOUN
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fcis-31302	377	10	multitask	multitask	ADJ
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fcis-31302	377	12	.	.	PUNCT
fcis-31302	378	1	appl	appl	PROPN
fcis-31302	378	2	soft	soft	ADJ
fcis-31302	378	3	comput	comput	NOUN
fcis-31302	378	4	.	.	PUNCT
fcis-31302	379	1	2022;122	2022;122	X
fcis-31302	379	2	.	.	PUNCT
fcis-31302	380	1	doi	doi	NOUN
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fcis-31302	380	6	.	.	PUNCT
fcis-31302	381	1	[	[	X
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fcis-31302	381	3	]	]	X
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fcis-31302	381	5	s.	s.	PROPN
fcis-31302	381	6	,	,	PUNCT
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fcis-31302	381	9	sm	sm	PROPN
fcis-31302	381	10	.	.	PROPN
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fcis-31302	381	12	disaster	disaster	NOUN
fcis-31302	381	13	detection	detection	NOUN
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fcis-31302	381	15	social	social	ADJ
fcis-31302	381	16	media	medium	NOUN
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fcis-31302	381	18	satellite	satellite	NOUN
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fcis-31302	381	20	.	.	PUNCT
fcis-31302	382	1	itm	itm	PROPN
fcis-31302	382	2	web	web	NOUN
fcis-31302	382	3	conf	conf	NOUN
fcis-31302	382	4	.	.	PUNCT
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fcis-31302	382	6	online	online	ADJ
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fcis-31302	382	8	.	.	PUNCT
fcis-31302	383	1	doi:10.1051	doi:10.1051	NOUN
fcis-31302	383	2	/	/	SYM
fcis-31302	383	3	itmconf/20224403010	itmconf/20224403010	NOUN
fcis-31302	383	4	.	.	PUNCT
fcis-31302	384	1	[	[	X
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fcis-31302	384	6	m.	m.	PROPN
fcis-31302	384	7	f.	f.	PROPN
fcis-31302	384	8	,	,	PUNCT
fcis-31302	384	9	glennon	glennon	PROPN
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fcis-31302	385	1	crowdsourcing	crowdsource	VERB
fcis-31302	385	2	geographic	geographic	ADJ
fcis-31302	385	3	information	information	NOUN
fcis-31302	385	4	for	for	ADP
fcis-31302	385	5	disaster	disaster	NOUN
fcis-31302	385	6	response	response	NOUN
fcis-31302	385	7	:	:	PUNCT
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fcis-31302	386	1	int	int	PROPN
fcis-31302	386	2	j	j	PROPN
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fcis-31302	386	5	.	.	PUNCT
fcis-31302	387	1	2010;3(3):231	2010;3(3):231	NUM
fcis-31302	387	2	-	-	PUNCT
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fcis-31302	387	4	.	.	PUNCT
fcis-31302	388	1	doi:10.1080/	doi:10.1080/	NOUN
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fcis-31302	388	3	9255	9255	NUM
fcis-31302	388	4	.	.	PUNCT
fcis-31302	389	1	[	[	X
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fcis-31302	389	3	]	]	PUNCT
fcis-31302	389	4	bharambe	bharambe	PROPN
fcis-31302	389	5	u.	u.	PROPN
fcis-31302	389	6	,	,	PUNCT
fcis-31302	389	7	chaudhari	chaudhari	PROPN
fcis-31302	389	8	s.	s.	PROPN
fcis-31302	389	9	pk	pk	PROPN
fcis-31302	389	10	.	.	PROPN
fcis-31302	389	11	a	a	DET
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fcis-31302	389	16	multimodal	multimodal	NOUN
fcis-31302	389	17	data	datum	NOUN
fcis-31302	389	18	privacy	privacy	NOUN
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fcis-31302	389	21	disaster	disaster	NOUN
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fcis-31302	389	23	.	.	PUNCT
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fcis-31302	390	8	sens	sen	NOUN
fcis-31302	390	9	symp	symp	PROPN
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fcis-31302	391	2	online	online	ADJ
fcis-31302	391	3	2024	2024	NUM
fcis-31302	391	4	.	.	PUNCT
fcis-31302	392	1	doi:10.1109/	doi:10.1109/	PROPN
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fcis-31302	392	3	53475	53475	NUM
fcis-31302	392	4	.	.	PUNCT
fcis-31302	393	1	2024	2024	NUM
fcis-31302	393	2	.	.	PUNCT
fcis-31302	394	1	10641421	10641421	NUM
fcis-31302	394	2	.	.	PUNCT
fcis-31302	395	1	[	[	X
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fcis-31302	395	3	]	]	X
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fcis-31302	395	8	h.	h.	PROPN
fcis-31302	395	9	edw	edw	PROPN
fcis-31302	395	10	.	.	PUNCT
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fcis-31302	396	2	-	-	PUNCT
fcis-31302	396	3	time	time	NOUN
fcis-31302	396	4	earthquake	earthquake	NOUN
fcis-31302	396	5	location	location	NOUN
fcis-31302	396	6	based	base	VERB
fcis-31302	396	7	on	on	ADP
fcis-31302	396	8	the	the	DET
fcis-31302	396	9	kalman	kalman	NOUN
fcis-31302	396	10	filter	filter	NOUN
fcis-31302	396	11	formulation	formulation	NOUN
fcis-31302	396	12	.	.	PUNCT
fcis-31302	397	1	geophys	geophy	NOUN
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fcis-31302	397	4	.	.	PUNCT
fcis-31302	398	1	2020	2020	NUM
fcis-31302	398	2	;	;	PUNCT
fcis-31302	398	3	47	47	NUM
fcis-31302	398	4	.	.	PUNCT
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fcis-31302	399	2	.	.	PUNCT
fcis-31302	400	1	[	[	X
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fcis-31302	400	3	]	]	X
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fcis-31302	400	10	.	.	PUNCT
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fcis-31302	401	4	on	on	ADP
fcis-31302	401	5	graph	graph	NOUN
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fcis-31302	401	8	.	.	PUNCT
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fcis-31302	402	7	.	.	PUNCT
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fcis-31302	403	2	(	(	PUNCT
fcis-31302	403	3	1	1	NUM
fcis-31302	403	4	):	):	PUNCT
fcis-31302	403	5	4	4	NUM
fcis-31302	403	6	-	-	SYM
fcis-31302	403	7	24	24	NUM
fcis-31302	403	8	.	.	PUNCT
fcis-31302	404	1	doi:10.1109	doi:10.1109	VERB
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fcis-31302	404	4	.	.	PUNCT
fcis-31302	405	1	[	[	X
fcis-31302	405	2	14	14	NUM
fcis-31302	405	3	]	]	X
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fcis-31302	405	5	-	-	PUNCT
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fcis-31302	405	8	,	,	PUNCT
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fcis-31302	405	20	-	-	PUNCT
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fcis-31302	405	24	-	-	PUNCT
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fcis-31302	405	27	earth	earth	NOUN
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fcis-31302	405	29	.	.	PUNCT
fcis-31302	406	1	commun	commun	PROPN
fcis-31302	406	2	ieee	ieee	PROPN
fcis-31302	406	3	trans	trans	PROPN
fcis-31302	406	4	.	.	PUNCT
fcis-31302	407	1	2023;71(10):15	2023;71(10):15	VERB
fcis-31302	407	2	.	.	PUNCT
fcis-31302	408	1	doi:10	doi:10	PROPN
fcis-31302	408	2	.	.	PUNCT
fcis-31302	409	1	1109/	1109/	NUM
fcis-31302	409	2	tcomm.2023.3296584	tcomm.2023.3296584	ADJ
fcis-31302	409	3	.	.	PUNCT
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fcis-31302	410	2	15	15	NUM
fcis-31302	410	3	]	]	X
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fcis-31302	410	5	y.	y.	PROPN
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fcis-31302	410	7	melgar	melgar	PROPN
fcis-31302	410	8	d.	d.	PROPN
fcis-31302	410	9	cbw	cbw	PROPN
fcis-31302	410	10	.	.	PUNCT
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fcis-31302	411	2	-	-	PUNCT
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fcis-31302	411	5	-	-	PUNCT
fcis-31302	411	6	motion	motion	NOUN
fcis-31302	411	7	broadband	broadband	NOUN
fcis-31302	411	8	displacements	displacement	NOUN
fcis-31302	411	9	from	from	ADP
fcis-31302	411	10	collocated	collocated	ADJ
fcis-31302	411	11	gps	gps	NOUN
fcis-31302	411	12	and	and	CCONJ
fcis-31302	411	13	accelerometers	accelerometer	NOUN
fcis-31302	411	14	.	.	PUNCT
fcis-31302	412	1	science	science	NOUN
fcis-31302	412	2	(	(	PUNCT
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fcis-31302	412	4	)	)	PUNCT
fcis-31302	412	5	.	.	PUNCT
fcis-31302	413	1	2011;336(6082):707	2011;336(6082):707	NUM
fcis-31302	413	2	-	-	SYM
fcis-31302	413	3	710	710	NUM
fcis-31302	413	4	.	.	PUNCT
fcis-31302	414	1	doi:10	doi:10	PROPN
fcis-31302	414	2	.	.	PUNCT
fcis-31302	415	1	1126	1126	NUM
fcis-31302	415	2	/	/	SYM
fcis-31302	415	3	science.1218796	science.1218796	PROPN
fcis-31302	415	4	.	.	PUNCT
fcis-31302	416	1	[	[	X
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fcis-31302	416	3	]	]	X
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fcis-31302	416	5	j.	j.	PROPN
fcis-31302	416	6	,	,	PUNCT
fcis-31302	416	7	hao	hao	PROPN
fcis-31302	416	8	g.	g.	PROPN
fcis-31302	416	9	,	,	PUNCT
fcis-31302	416	10	tao	tao	PROPN
fcis-31302	416	11	h.	h.	PROPN
fcis-31302	416	12	,	,	PUNCT
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fcis-31302	417	2	,	,	PUNCT
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fcis-31302	417	4	h.	h.	PROPN
fcis-31302	417	5	,	,	PUNCT
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fcis-31302	417	7	x.	x.	PROPN
fcis-31302	417	8	cq	cq	PROPN
fcis-31302	417	9	.	.	PROPN
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fcis-31302	417	13	method	method	NOUN
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fcis-31302	417	18	based	base	VERB
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fcis-31302	417	22	network	network	NOUN
fcis-31302	417	23	.	.	PUNCT
fcis-31302	418	1	geol	geol	PROPN
fcis-31302	418	2	j	j	PROPN
fcis-31302	418	3	china	china	PROPN
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fcis-31302	418	5	.	.	PUNCT
fcis-31302	419	1	2025	2025	NUM
fcis-31302	419	2	;	;	PUNCT
fcis-31302	419	3	31(02):174	31(02):174	NUM
fcis-31302	419	4	-	-	SYM
fcis-31302	419	5	184	184	NUM
fcis-31302	419	6	.	.	PUNCT
fcis-31302	420	1	[	[	X
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fcis-31302	420	3	]	]	X
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fcis-31302	420	12	j.	j.	PROPN
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fcis-31302	420	18	.	.	PUNCT
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fcis-31302	421	4	.	.	PUNCT
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fcis-31302	422	7	.	.	PUNCT
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fcis-31302	423	4	-	-	SYM
fcis-31302	423	5	696	696	NUM
fcis-31302	423	6	.	.	PUNCT
fcis-31302	424	1	[	[	X
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fcis-31302	424	3	]	]	X
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fcis-31302	424	6	,	,	PUNCT
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fcis-31302	424	8	h.	h.	PROPN
fcis-31302	424	9	dwj	dwj	PROPN
fcis-31302	424	10	.	.	PUNCT
fcis-31302	425	1	deep	deep	ADJ
fcis-31302	425	2	compression	compression	NOUN
fcis-31302	425	3	:	:	PUNCT
fcis-31302	425	4	compressing	compress	VERB
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fcis-31302	425	6	neural	neural	ADJ
fcis-31302	425	7	networks	network	NOUN
fcis-31302	425	8	with	with	ADP
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fcis-31302	425	10	,	,	PUNCT
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fcis-31302	425	14	huffman	huffman	PROPN
fcis-31302	425	15	coding	coding	PROPN
fcis-31302	425	16	.	.	PUNCT
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fcis-31302	426	2	.	.	PUNCT
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fcis-31302	427	2	-	-	SYM
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fcis-31302	427	4	.	.	PUNCT
fcis-31302	427	5	doi:10.48550/	doi:10.48550/	PROPN
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fcis-31302	427	7	.	.	PUNCT
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fcis-31302	428	2	.	.	PUNCT
fcis-31302	429	1	00149	00149	NUM
fcis-31302	429	2	.	.	PUNCT
fcis-31302	430	1	[	[	X
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fcis-31302	430	3	]	]	X
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fcis-31302	430	8	o.	o.	NOUN
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fcis-31302	431	4	in	in	ADP
fcis-31302	431	5	a	a	DET
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fcis-31302	431	8	.	.	PUNCT
fcis-31302	432	1	comput	comput	PROPN
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fcis-31302	432	3	.	.	PUNCT
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fcis-31302	433	2	-	-	SYM
fcis-31302	433	3	39	39	NUM
fcis-31302	433	4	.	.	PUNCT
fcis-31302	434	1	doi:10.4140/	doi:10.4140/	PROPN
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fcis-31302	434	5	.	.	PUNCT
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fcis-31302	435	2	.	.	PUNCT
fcis-31302	436	1	[	[	X
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fcis-31302	436	3	]	]	PUNCT
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fcis-31302	436	6	,	,	PUNCT
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fcis-31302	436	19	model	model	NOUN
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fcis-31302	436	22	earthquake	earthquake	NOUN
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fcis-31302	437	1	nat	nat	PROPN
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fcis-31302	437	5	online	online	ADJ
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fcis-31302	437	7	.	.	PUNCT
fcis-31302	438	1	doi:10.1038	doi:10.1038	NOUN
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fcis-31302	438	4	-	-	PUNCT
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fcis-31302	438	6	-	-	PUNCT
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