id	sid	tid	token	lemma	pos
cana-1221	1	1	communications	communication	NOUN
cana-1221	1	2	on	on	ADP
cana-1221	1	3	applied	apply	VERB
cana-1221	1	4	nonlinear	nonlinear	ADJ
cana-1221	1	5	analysis	analysis	NOUN
cana-1221	1	6	issn	issn	NOUN
cana-1221	1	7	:	:	PUNCT
cana-1221	1	8	1074	1074	NUM
cana-1221	1	9	-	-	PUNCT
cana-1221	1	10	133x	133x	NUM
cana-1221	1	11	vol	vol	NOUN
cana-1221	1	12	31	31	NUM
cana-1221	1	13	no	no	NOUN
cana-1221	1	14	.	.	PUNCT
cana-1221	2	1	6s	6s	NUM
cana-1221	2	2	(	(	PUNCT
cana-1221	2	3	2024	2024	NUM
cana-1221	2	4	)	)	PUNCT
cana-1221	2	5	268	268	NUM
cana-1221	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1221	2	7	innovations	innovation	NOUN
cana-1221	2	8	in	in	ADP
cana-1221	2	9	geospatial	geospatial	ADJ
cana-1221	2	10	data	datum	NOUN
cana-1221	2	11	analysis	analysis	NOUN
cana-1221	2	12	:	:	PUNCT
cana-1221	2	13	applied	apply	VERB
cana-1221	2	14	nonlinear	nonlinear	ADJ
cana-1221	2	15	analysis	analysis	NOUN
cana-1221	2	16	,	,	PUNCT
cana-1221	2	17	remote	remote	ADJ
cana-1221	2	18	sensing	sensing	NOUN
cana-1221	2	19	,	,	PUNCT
cana-1221	2	20	ai	ai	VERB
cana-1221	2	21	,	,	PUNCT
cana-1221	2	22	and	and	CCONJ
cana-1221	2	23	gis	gis	NOUN
cana-1221	2	24	for	for	ADP
cana-1221	2	25	environmental	environmental	ADJ
cana-1221	2	26	sustainability	sustainability	PROPN
cana-1221	2	27	dr	dr	PROPN
cana-1221	2	28	c.	c.	PROPN
cana-1221	2	29	sudha1	sudha1	PROPN
cana-1221	2	30	,	,	PUNCT
cana-1221	2	31	ali	ali	PROPN
cana-1221	2	32	bostani2	bostani2	PROPN
cana-1221	2	33	,	,	PUNCT
cana-1221	2	34	s.a.sudha3	s.a.sudha3	PROPN
cana-1221	2	35	,	,	PUNCT
cana-1221	2	36	dr.t.elangovan4	dr.t.elangovan4	PROPN
cana-1221	2	37	,	,	PUNCT
cana-1221	2	38	c.	c.	PROPN
cana-1221	2	39	nandhini5	nandhini5	PROPN
cana-1221	2	40	,	,	PUNCT
cana-1221	2	41	zafar	zafar	PROPN
cana-1221	2	42	kurbonov6	kurbonov6	PROPN
cana-1221	3	1	1assistant	1assistant	NUM
cana-1221	3	2	professor	professor	NOUN
cana-1221	3	3	,	,	PUNCT
cana-1221	3	4	computer	computer	NOUN
cana-1221	3	5	science	science	NOUN
cana-1221	3	6	and	and	CCONJ
cana-1221	3	7	engineering	engineering	NOUN
cana-1221	3	8	,	,	PUNCT
cana-1221	3	9	gitam	gitam	NOUN
cana-1221	3	10	school	school	NOUN
cana-1221	3	11	of	of	ADP
cana-1221	3	12	technology	technology	NOUN
cana-1221	3	13	,	,	PUNCT
cana-1221	3	14	gitam	gitam	NOUN
cana-1221	3	15	deemed	deem	VERB
cana-1221	3	16	to	to	PART
cana-1221	3	17	be	be	AUX
cana-1221	3	18	university	university	NOUN
cana-1221	3	19	,	,	PUNCT
cana-1221	3	20	hyderabad	hyderabad	PROPN
cana-1221	3	21	,	,	PUNCT
cana-1221	3	22	india	india	PROPN
cana-1221	3	23	.	.	PUNCT
cana-1221	3	24	email	email	NOUN
cana-1221	3	25	:	:	PUNCT
cana-1221	4	1	drcsudha17@gmail.com	drcsudha17@gmail.com	PROPN
cana-1221	4	2	2assistant	2assistant	NUM
cana-1221	4	3	professor	professor	NOUN
cana-1221	4	4	,	,	PUNCT
cana-1221	4	5	college	college	NOUN
cana-1221	4	6	of	of	ADP
cana-1221	4	7	engineering	engineering	NOUN
cana-1221	4	8	and	and	CCONJ
cana-1221	4	9	applied	apply	VERB
cana-1221	4	10	sciences	science	NOUN
cana-1221	4	11	,	,	PUNCT
cana-1221	4	12	american	american	PROPN
cana-1221	4	13	university	university	PROPN
cana-1221	4	14	of	of	ADP
cana-1221	4	15	kuwait	kuwait	PROPN
cana-1221	4	16	,	,	PUNCT
cana-1221	4	17	salmiya	salmiya	PROPN
cana-1221	4	18	,	,	PUNCT
cana-1221	4	19	kuwait	kuwait	PROPN
cana-1221	4	20	.	.	PUNCT
cana-1221	5	1	eamil	eamil	PROPN
cana-1221	5	2	:	:	PUNCT
cana-1221	5	3	abostani@auk.edu.kw	abostani@auk.edu.kw	NOUN
cana-1221	5	4	3assistant	3assistant	NUM
cana-1221	5	5	professor	professor	NOUN
cana-1221	5	6	,	,	PUNCT
cana-1221	5	7	department	department	NOUN
cana-1221	5	8	of	of	ADP
cana-1221	5	9	computer	computer	NOUN
cana-1221	5	10	applications	application	NOUN
cana-1221	5	11	,	,	PUNCT
cana-1221	5	12	erode	erode	NOUN
cana-1221	5	13	arts	art	NOUN
cana-1221	5	14	and	and	CCONJ
cana-1221	5	15	science	science	PROPN
cana-1221	5	16	college	college	PROPN
cana-1221	5	17	,	,	PUNCT
cana-1221	5	18	erode	erode	VERB
cana-1221	5	19	,	,	PUNCT
cana-1221	5	20	tamilnadu	tamilnadu	NOUN
cana-1221	5	21	,	,	PUNCT
cana-1221	5	22	india	india	PROPN
cana-1221	5	23	4assistant	4assistant	PROPN
cana-1221	5	24	professor	professor	NOUN
cana-1221	5	25	,	,	PUNCT
cana-1221	5	26	department	department	NOUN
cana-1221	5	27	of	of	ADP
cana-1221	5	28	computer	computer	NOUN
cana-1221	5	29	science	science	NOUN
cana-1221	5	30	,	,	PUNCT
cana-1221	5	31	erode	erode	NOUN
cana-1221	5	32	arts	art	NOUN
cana-1221	5	33	and	and	CCONJ
cana-1221	5	34	science	science	PROPN
cana-1221	5	35	college	college	PROPN
cana-1221	5	36	,	,	PUNCT
cana-1221	5	37	erode	erode	VERB
cana-1221	5	38	,	,	PUNCT
cana-1221	5	39	tamilnadu	tamilnadu	NOUN
cana-1221	5	40	,	,	PUNCT
cana-1221	5	41	india	india	PROPN
cana-1221	5	42	email	email	NOUN
cana-1221	5	43	elangobrave@gmail.com	elangobrave@gmail.com	PROPN
cana-1221	5	44	5research	5research	NUM
cana-1221	5	45	scholor	scholor	NOUN
cana-1221	5	46	,	,	PUNCT
cana-1221	5	47	department	department	NOUN
cana-1221	5	48	of	of	ADP
cana-1221	5	49	computer	computer	NOUN
cana-1221	5	50	science	science	NOUN
cana-1221	5	51	,	,	PUNCT
cana-1221	5	52	erode	erode	NOUN
cana-1221	5	53	arts	art	NOUN
cana-1221	5	54	and	and	CCONJ
cana-1221	5	55	science	science	PROPN
cana-1221	5	56	college	college	PROPN
cana-1221	5	57	,	,	PUNCT
cana-1221	5	58	erode	erode	VERB
cana-1221	5	59	,	,	PUNCT
cana-1221	5	60	tamilnadu	tamilnadu	NOUN
cana-1221	5	61	,	,	PUNCT
cana-1221	5	62	india	india	PROPN
cana-1221	5	63	email	email	NOUN
cana-1221	5	64	:	:	PUNCT
cana-1221	5	65	ashonanthu@gmail.com	ashonanthu@gmail.com	X
cana-1221	6	1	6the	6the	PROPN
cana-1221	6	2	department	department	NOUN
cana-1221	6	3	of	of	ADP
cana-1221	6	4	applied	apply	VERB
cana-1221	6	5	mathematics	mathematic	NOUN
cana-1221	6	6	,	,	PUNCT
cana-1221	6	7	karshi	karshi	PROPN
cana-1221	6	8	state	state	PROPN
cana-1221	6	9	university	university	PROPN
cana-1221	6	10	,	,	PUNCT
cana-1221	6	11	karshi	karshi	PROPN
cana-1221	6	12	,	,	PUNCT
cana-1221	6	13	uzbekistan	uzbekistan	PROPN
cana-1221	6	14	.	.	PUNCT
cana-1221	7	1	email	email	NOUN
cana-1221	7	2	:	:	PUNCT
cana-1221	7	3	urbonov.zm@qarshidu.uz	urbonov.zm@qarshidu.uz	ADJ
cana-1221	7	4	article	article	NOUN
cana-1221	7	5	history	history	NOUN
cana-1221	7	6	:	:	PUNCT
cana-1221	7	7	received	receive	VERB
cana-1221	7	8	:	:	PUNCT
cana-1221	7	9	05	05	NUM
cana-1221	7	10	-	-	PUNCT
cana-1221	7	11	06	06	NUM
cana-1221	7	12	-	-	PUNCT
cana-1221	7	13	2024	2024	NUM
cana-1221	7	14	revised	revise	VERB
cana-1221	7	15	:	:	PUNCT
cana-1221	7	16	07	07	NUM
cana-1221	7	17	-	-	PUNCT
cana-1221	7	18	07	07	NUM
cana-1221	7	19	-	-	PUNCT
cana-1221	7	20	2024	2024	NUM
cana-1221	7	21	accepted	accept	VERB
cana-1221	7	22	:	:	PUNCT
cana-1221	7	23	27	27	NUM
cana-1221	7	24	-	-	SYM
cana-1221	7	25	07	07	NUM
cana-1221	7	26	-	-	PUNCT
cana-1221	7	27	2024	2024	NUM
cana-1221	7	28	abstract	abstract	NOUN
cana-1221	7	29	:	:	PUNCT
cana-1221	7	30	water	water	NOUN
cana-1221	7	31	mapping	mapping	NOUN
cana-1221	7	32	plays	play	VERB
cana-1221	7	33	a	a	DET
cana-1221	7	34	pivotal	pivotal	ADJ
cana-1221	7	35	role	role	NOUN
cana-1221	7	36	in	in	ADP
cana-1221	7	37	sustainable	sustainable	ADJ
cana-1221	7	38	water	water	NOUN
cana-1221	7	39	resource	resource	NOUN
cana-1221	7	40	management	management	NOUN
cana-1221	7	41	,	,	PUNCT
cana-1221	7	42	particularly	particularly	ADV
cana-1221	7	43	in	in	ADP
cana-1221	7	44	the	the	DET
cana-1221	7	45	context	context	NOUN
cana-1221	7	46	of	of	ADP
cana-1221	7	47	escalating	escalate	VERB
cana-1221	7	48	climate	climate	NOUN
cana-1221	7	49	change	change	NOUN
cana-1221	7	50	impacts	impact	NOUN
cana-1221	7	51	.	.	PUNCT
cana-1221	8	1	this	this	DET
cana-1221	8	2	study	study	NOUN
cana-1221	8	3	addresses	address	VERB
cana-1221	8	4	the	the	DET
cana-1221	8	5	critical	critical	ADJ
cana-1221	8	6	need	need	NOUN
cana-1221	8	7	for	for	ADP
cana-1221	8	8	accurate	accurate	ADJ
cana-1221	8	9	water	water	NOUN
cana-1221	8	10	level	level	NOUN
cana-1221	8	11	predictions	prediction	NOUN
cana-1221	8	12	by	by	ADP
cana-1221	8	13	introducing	introduce	VERB
cana-1221	8	14	an	an	DET
cana-1221	8	15	innovative	innovative	ADJ
cana-1221	8	16	ensemble	ensemble	ADJ
cana-1221	8	17	machine	machine	NOUN
cana-1221	8	18	learning	learning	NOUN
cana-1221	8	19	(	(	PUNCT
cana-1221	8	20	ml	ml	NOUN
cana-1221	8	21	)	)	PUNCT
cana-1221	8	22	approach	approach	NOUN
cana-1221	8	23	.	.	PUNCT
cana-1221	9	1	motivated	motivate	VERB
cana-1221	9	2	by	by	ADP
cana-1221	9	3	the	the	DET
cana-1221	9	4	increasing	increase	VERB
cana-1221	9	5	importance	importance	NOUN
cana-1221	9	6	of	of	ADP
cana-1221	9	7	ml	ml	NOUN
cana-1221	9	8	and	and	CCONJ
cana-1221	9	9	mathematical	mathematical	ADJ
cana-1221	9	10	models	model	NOUN
cana-1221	9	11	in	in	ADP
cana-1221	9	12	geospatial	geospatial	ADJ
cana-1221	9	13	data	datum	NOUN
cana-1221	9	14	analysis	analysis	NOUN
cana-1221	9	15	,	,	PUNCT
cana-1221	9	16	the	the	DET
cana-1221	9	17	research	research	NOUN
cana-1221	9	18	papers	paper	NOUN
cana-1221	9	19	from	from	ADP
cana-1221	9	20	the	the	DET
cana-1221	9	21	diverse	diverse	ADJ
cana-1221	9	22	database	database	NOUN
cana-1221	9	23	,	,	PUNCT
cana-1221	9	24	revealing	reveal	VERB
cana-1221	9	25	a	a	DET
cana-1221	9	26	research	research	NOUN
cana-1221	9	27	gap	gap	NOUN
cana-1221	9	28	that	that	PRON
cana-1221	9	29	includes	include	VERB
cana-1221	9	30	the	the	DET
cana-1221	9	31	absence	absence	NOUN
cana-1221	9	32	of	of	ADP
cana-1221	9	33	standardized	standardized	ADJ
cana-1221	9	34	methodologies	methodology	NOUN
cana-1221	9	35	and	and	CCONJ
cana-1221	9	36	the	the	DET
cana-1221	9	37	exploration	exploration	NOUN
cana-1221	9	38	of	of	ADP
cana-1221	9	39	diverse	diverse	ADJ
cana-1221	9	40	ensemble	ensemble	ADJ
cana-1221	9	41	methods	method	NOUN
cana-1221	9	42	.	.	PUNCT
cana-1221	10	1	leveraging	leverage	VERB
cana-1221	10	2	the	the	DET
cana-1221	10	3	eurosat	eurosat	NOUN
cana-1221	10	4	dataset	dataset	VERB
cana-1221	10	5	for	for	ADP
cana-1221	10	6	land	land	NOUN
cana-1221	10	7	use	use	NOUN
cana-1221	10	8	and	and	CCONJ
cana-1221	10	9	land	land	NOUN
cana-1221	10	10	cover	cover	NOUN
cana-1221	10	11	classification	classification	NOUN
cana-1221	10	12	,	,	PUNCT
cana-1221	10	13	the	the	DET
cana-1221	10	14	proposed	propose	VERB
cana-1221	10	15	ensemble	ensemble	ADJ
cana-1221	10	16	model	model	NOUN
cana-1221	10	17	combines	combine	VERB
cana-1221	10	18	principal	principal	ADJ
cana-1221	10	19	component	component	NOUN
cana-1221	10	20	analysis	analysis	NOUN
cana-1221	10	21	,	,	PUNCT
cana-1221	10	22	genetic	genetic	ADJ
cana-1221	10	23	algorithm	algorithm	NOUN
cana-1221	10	24	,	,	PUNCT
cana-1221	10	25	gradient	gradient	ADJ
cana-1221	10	26	boosted	boost	VERB
cana-1221	10	27	decision	decision	NOUN
cana-1221	10	28	trees	tree	NOUN
cana-1221	10	29	,	,	PUNCT
cana-1221	10	30	frequency	frequency	NOUN
cana-1221	10	31	ratio	ratio	NOUN
cana-1221	10	32	,	,	PUNCT
cana-1221	10	33	deep	deep	ADJ
cana-1221	10	34	neural	neural	ADJ
cana-1221	10	35	network	network	NOUN
cana-1221	10	36	,	,	PUNCT
cana-1221	10	37	and	and	CCONJ
cana-1221	10	38	shannon	shannon	PROPN
cana-1221	10	39	's	's	PART
cana-1221	10	40	entropy	entropy	NOUN
cana-1221	10	41	.	.	PUNCT
cana-1221	11	1	demonstrating	demonstrate	VERB
cana-1221	11	2	superior	superior	ADJ
cana-1221	11	3	accuracy	accuracy	NOUN
cana-1221	11	4	at	at	ADP
cana-1221	11	5	98.5	98.5	NUM
cana-1221	11	6	%	%	NOUN
cana-1221	11	7	,	,	PUNCT
cana-1221	11	8	precision	precision	NOUN
cana-1221	11	9	at	at	ADP
cana-1221	11	10	90.4	90.4	NUM
cana-1221	11	11	%	%	NOUN
cana-1221	11	12	,	,	PUNCT
cana-1221	11	13	and	and	CCONJ
cana-1221	11	14	recall	recall	VERB
cana-1221	11	15	at	at	ADP
cana-1221	11	16	92	92	NUM
cana-1221	11	17	%	%	NOUN
cana-1221	11	18	,	,	PUNCT
cana-1221	11	19	ensembleml	ensembleml	NOUN
cana-1221	11	20	emerges	emerge	VERB
cana-1221	11	21	as	as	ADP
cana-1221	11	22	a	a	DET
cana-1221	11	23	robust	robust	ADJ
cana-1221	11	24	solution	solution	NOUN
cana-1221	11	25	,	,	PUNCT
cana-1221	11	26	emphasizing	emphasize	VERB
cana-1221	11	27	the	the	DET
cana-1221	11	28	advantage	advantage	NOUN
cana-1221	11	29	of	of	ADP
cana-1221	11	30	ensemble	ensemble	ADJ
cana-1221	11	31	techniques	technique	NOUN
cana-1221	11	32	for	for	ADP
cana-1221	11	33	comprehensive	comprehensive	ADJ
cana-1221	11	34	water	water	NOUN
cana-1221	11	35	mapping	mapping	NOUN
cana-1221	11	36	in	in	ADP
cana-1221	11	37	the	the	DET
cana-1221	11	38	face	face	NOUN
cana-1221	11	39	of	of	ADP
cana-1221	11	40	environmental	environmental	ADJ
cana-1221	11	41	challenges	challenge	NOUN
cana-1221	11	42	.	.	PUNCT
cana-1221	12	1	keywords	keyword	NOUN
cana-1221	12	2	:	:	PUNCT
cana-1221	12	3	geospatial	geospatial	ADJ
cana-1221	12	4	data	data	PROPN
cana-1221	12	5	,	,	PUNCT
cana-1221	12	6	water	water	NOUN
cana-1221	12	7	,	,	PUNCT
cana-1221	12	8	remote	remote	ADJ
cana-1221	12	9	sensing	sensing	NOUN
cana-1221	12	10	,	,	PUNCT
cana-1221	12	11	sustainability	sustainability	NOUN
cana-1221	12	12	,	,	PUNCT
cana-1221	12	13	machine	machine	NOUN
cana-1221	12	14	learning	learning	NOUN
cana-1221	12	15	,	,	PUNCT
cana-1221	12	16	and	and	CCONJ
cana-1221	12	17	accuracy	accuracy	NOUN
cana-1221	12	18	.	.	PUNCT
cana-1221	13	1	1	1	X
cana-1221	13	2	.	.	X
cana-1221	13	3	introduction	introduction	NOUN
cana-1221	13	4	advances	advance	NOUN
cana-1221	13	5	in	in	ADP
cana-1221	13	6	geospatial	geospatial	ADJ
cana-1221	13	7	data	datum	NOUN
cana-1221	13	8	analysis	analysis	NOUN
cana-1221	13	9	have	have	AUX
cana-1221	13	10	recently	recently	ADV
cana-1221	13	11	been	be	AUX
cana-1221	13	12	crucial	crucial	ADJ
cana-1221	13	13	for	for	ADP
cana-1221	13	14	tackling	tackle	VERB
cana-1221	13	15	environmental	environmental	ADJ
cana-1221	13	16	issues	issue	NOUN
cana-1221	13	17	and	and	CCONJ
cana-1221	13	18	advancing	advance	VERB
cana-1221	13	19	sustainability	sustainability	NOUN
cana-1221	13	20	.	.	PUNCT
cana-1221	14	1	how	how	SCONJ
cana-1221	14	2	we	we	PRON
cana-1221	14	3	track	track	VERB
cana-1221	14	4	,	,	PUNCT
cana-1221	14	5	examine	examine	VERB
cana-1221	14	6	,	,	PUNCT
cana-1221	14	7	and	and	CCONJ
cana-1221	14	8	manage	manage	VERB
cana-1221	14	9	our	our	PRON
cana-1221	14	10	natural	natural	ADJ
cana-1221	14	11	resources	resource	NOUN
cana-1221	14	12	has	have	AUX
cana-1221	14	13	changed	change	VERB
cana-1221	14	14	dramatically	dramatically	ADV
cana-1221	14	15	due	due	ADP
cana-1221	14	16	to	to	ADP
cana-1221	14	17	the	the	DET
cana-1221	14	18	integration	integration	NOUN
cana-1221	14	19	of	of	ADP
cana-1221	14	20	remote	remote	ADJ
cana-1221	14	21	sensing	sensing	NOUN
cana-1221	14	22	,	,	PUNCT
cana-1221	14	23	artificial	artificial	ADJ
cana-1221	14	24	intelligence	intelligence	NOUN
cana-1221	14	25	(	(	PUNCT
cana-1221	14	26	ai	ai	NOUN
cana-1221	14	27	)	)	PUNCT
cana-1221	14	28	,	,	PUNCT
cana-1221	14	29	and	and	CCONJ
cana-1221	14	30	geographic	geographic	ADJ
cana-1221	14	31	information	information	NOUN
cana-1221	14	32	systems	system	NOUN
cana-1221	14	33	(	(	PUNCT
cana-1221	14	34	gis	gis	NOUN
cana-1221	14	35	)	)	PUNCT
cana-1221	14	36	.	.	PUNCT
cana-1221	15	1	this	this	DET
cana-1221	15	2	essay	essay	NOUN
cana-1221	15	3	examines	examine	VERB
cana-1221	15	4	how	how	SCONJ
cana-1221	15	5	these	these	DET
cana-1221	15	6	technologies	technology	NOUN
cana-1221	15	7	significantly	significantly	ADV
cana-1221	15	8	advance	advance	VERB
cana-1221	15	9	environmental	environmental	ADJ
cana-1221	15	10	sustainability	sustainability	NOUN
cana-1221	15	11	by	by	ADP
cana-1221	15	12	facilitating	facilitate	VERB
cana-1221	15	13	resource	resource	NOUN
cana-1221	15	14	management	management	NOUN
cana-1221	15	15	and	and	CCONJ
cana-1221	15	16	knowledge	knowledge	NOUN
cana-1221	15	17	-	-	PUNCT
cana-1221	15	18	based	base	VERB
cana-1221	15	19	decisionmaking	decisionmaking	NOUN
cana-1221	15	20	[	[	X
cana-1221	15	21	1	1	NUM
cana-1221	15	22	]	]	PUNCT
cana-1221	15	23	.	.	PUNCT
cana-1221	16	1	data	datum	NOUN
cana-1221	16	2	collected	collect	VERB
cana-1221	16	3	from	from	ADP
cana-1221	16	4	a	a	DET
cana-1221	16	5	distance	distance	NOUN
cana-1221	16	6	is	be	AUX
cana-1221	16	7	known	know	VERB
cana-1221	16	8	as	as	ADP
cana-1221	16	9	remote	remote	ADJ
cana-1221	16	10	sensing	sensing	NOUN
cana-1221	16	11	,	,	PUNCT
cana-1221	16	12	and	and	CCONJ
cana-1221	16	13	it	it	PRON
cana-1221	16	14	usually	usually	ADV
cana-1221	16	15	uses	use	VERB
cana-1221	16	16	satellites	satellite	NOUN
cana-1221	16	17	,	,	PUNCT
cana-1221	16	18	aeroplanes	aeroplane	NOUN
cana-1221	16	19	,	,	PUNCT
cana-1221	16	20	or	or	CCONJ
cana-1221	16	21	drones	drone	NOUN
cana-1221	16	22	.	.	PUNCT
cana-1221	17	1	monitoring	monitor	VERB
cana-1221	17	2	numerous	numerous	ADJ
cana-1221	17	3	environmental	environmental	ADJ
cana-1221	17	4	factors	factor	NOUN
cana-1221	17	5	,	,	PUNCT
cana-1221	17	6	including	include	VERB
cana-1221	17	7	land	land	NOUN
cana-1221	17	8	cover	cover	NOUN
cana-1221	17	9	,	,	PUNCT
cana-1221	17	10	vegetation	vegetation	NOUN
cana-1221	17	11	health	health	NOUN
cana-1221	17	12	,	,	PUNCT
cana-1221	17	13	and	and	CCONJ
cana-1221	17	14	climate	climate	NOUN
cana-1221	17	15	change	change	NOUN
cana-1221	17	16	,	,	PUNCT
cana-1221	17	17	has	have	AUX
cana-1221	17	18	shown	show	VERB
cana-1221	17	19	the	the	DET
cana-1221	17	20	great	great	ADJ
cana-1221	17	21	value	value	NOUN
cana-1221	17	22	of	of	ADP
cana-1221	17	23	this	this	DET
cana-1221	17	24	technique	technique	NOUN
cana-1221	17	25	.	.	PUNCT
cana-1221	18	1	a	a	DET
cana-1221	18	2	thorough	thorough	ADJ
cana-1221	18	3	evaluation	evaluation	NOUN
cana-1221	18	4	of	of	ADP
cana-1221	18	5	ecosystems	ecosystem	NOUN
cana-1221	18	6	is	be	AUX
cana-1221	18	7	made	make	VERB
cana-1221	18	8	possible	possible	ADJ
cana-1221	18	9	by	by	ADP
cana-1221	18	10	high	high	ADJ
cana-1221	18	11	-	-	PUNCT
cana-1221	18	12	resolution	resolution	NOUN
cana-1221	18	13	satellite	satellite	NOUN
cana-1221	18	14	photography	photography	NOUN
cana-1221	18	15	,	,	PUNCT
cana-1221	18	16	which	which	PRON
cana-1221	18	17	also	also	ADV
cana-1221	18	18	helps	help	VERB
cana-1221	18	19	policymakers	policymaker	NOUN
cana-1221	18	20	communications	communication	NOUN
cana-1221	18	21	on	on	ADP
cana-1221	18	22	applied	apply	VERB
cana-1221	18	23	nonlinear	nonlinear	ADJ
cana-1221	18	24	analysis	analysis	NOUN
cana-1221	18	25	issn	issn	NOUN
cana-1221	18	26	:	:	PUNCT
cana-1221	18	27	1074	1074	NUM
cana-1221	18	28	-	-	PUNCT
cana-1221	18	29	133x	133x	NUM
cana-1221	18	30	vol	vol	NOUN
cana-1221	18	31	31	31	NUM
cana-1221	18	32	no	no	NOUN
cana-1221	18	33	.	.	PUNCT
cana-1221	19	1	6s	6s	NUM
cana-1221	19	2	(	(	PUNCT
cana-1221	19	3	2024	2024	NUM
cana-1221	19	4	)	)	PUNCT
cana-1221	19	5	269	269	NUM
cana-1221	19	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1221	19	7	and	and	CCONJ
cana-1221	19	8	researchers	researcher	NOUN
cana-1221	19	9	spot	spot	VERB
cana-1221	19	10	problem	problem	NOUN
cana-1221	19	11	regions	region	NOUN
cana-1221	19	12	and	and	CCONJ
cana-1221	19	13	follow	follow	VERB
cana-1221	19	14	environmental	environmental	ADJ
cana-1221	19	15	changes	change	NOUN
cana-1221	19	16	over	over	ADP
cana-1221	19	17	time	time	NOUN
cana-1221	19	18	[	[	X
cana-1221	19	19	2	2	NUM
cana-1221	19	20	]	]	PUNCT
cana-1221	19	21	.	.	PUNCT
cana-1221	20	1	for	for	ADP
cana-1221	20	2	instance	instance	NOUN
cana-1221	20	3	,	,	PUNCT
cana-1221	20	4	satellite	satellite	NOUN
cana-1221	20	5	imaging	imaging	NOUN
cana-1221	20	6	has	have	AUX
cana-1221	20	7	proven	prove	VERB
cana-1221	20	8	invaluable	invaluable	ADJ
cana-1221	20	9	in	in	ADP
cana-1221	20	10	tracking	track	VERB
cana-1221	20	11	natural	natural	ADJ
cana-1221	20	12	disasters	disaster	NOUN
cana-1221	20	13	,	,	PUNCT
cana-1221	20	14	urbanisation	urbanisation	NOUN
cana-1221	20	15	,	,	PUNCT
cana-1221	20	16	and	and	CCONJ
cana-1221	20	17	deforestation	deforestation	NOUN
cana-1221	20	18	.	.	PUNCT
cana-1221	21	1	artificial	artificial	ADJ
cana-1221	21	2	intelligence	intelligence	NOUN
cana-1221	21	3	has	have	AUX
cana-1221	21	4	become	become	VERB
cana-1221	21	5	a	a	DET
cana-1221	21	6	potent	potent	ADJ
cana-1221	21	7	instrument	instrument	NOUN
cana-1221	21	8	in	in	ADP
cana-1221	21	9	geospatial	geospatial	ADJ
cana-1221	21	10	data	datum	NOUN
cana-1221	21	11	analysis	analysis	NOUN
cana-1221	21	12	,	,	PUNCT
cana-1221	21	13	augmenting	augment	VERB
cana-1221	21	14	the	the	DET
cana-1221	21	15	efficacy	efficacy	NOUN
cana-1221	21	16	and	and	CCONJ
cana-1221	21	17	precision	precision	NOUN
cana-1221	21	18	of	of	ADP
cana-1221	21	19	environmental	environmental	ADJ
cana-1221	21	20	surveillance	surveillance	NOUN
cana-1221	22	1	[	[	X
cana-1221	22	2	3	3	NUM
cana-1221	22	3	]	]	PUNCT
cana-1221	22	4	.	.	PUNCT
cana-1221	23	1	computers	computer	NOUN
cana-1221	23	2	can	can	AUX
cana-1221	23	3	recognise	recognise	VERB
cana-1221	23	4	patterns	pattern	NOUN
cana-1221	23	5	and	and	CCONJ
cana-1221	23	6	make	make	VERB
cana-1221	23	7	predictions	prediction	NOUN
cana-1221	23	8	using	use	VERB
cana-1221	23	9	machine	machine	NOUN
cana-1221	23	10	learning	learning	NOUN
cana-1221	23	11	algorithms	algorithm	NOUN
cana-1221	23	12	,	,	PUNCT
cana-1221	23	13	a	a	DET
cana-1221	23	14	subset	subset	NOUN
cana-1221	23	15	of	of	ADP
cana-1221	23	16	artificial	artificial	ADJ
cana-1221	23	17	intelligence	intelligence	NOUN
cana-1221	23	18	,	,	PUNCT
cana-1221	23	19	and	and	CCONJ
cana-1221	23	20	big	big	ADJ
cana-1221	23	21	datasets	dataset	NOUN
cana-1221	23	22	.	.	PUNCT
cana-1221	24	1	artificial	artificial	ADJ
cana-1221	24	2	intelligence	intelligence	NOUN
cana-1221	24	3	(	(	PUNCT
cana-1221	24	4	ai	ai	NOUN
cana-1221	24	5	)	)	PUNCT
cana-1221	24	6	has	have	VERB
cana-1221	24	7	applications	application	NOUN
cana-1221	24	8	in	in	ADP
cana-1221	24	9	geospatial	geospatial	ADJ
cana-1221	24	10	analysis	analysis	NOUN
cana-1221	24	11	,	,	PUNCT
cana-1221	24	12	such	such	ADJ
cana-1221	24	13	as	as	ADP
cana-1221	24	14	species	species	NOUN
cana-1221	24	15	identification	identification	NOUN
cana-1221	24	16	,	,	PUNCT
cana-1221	24	17	land	land	NOUN
cana-1221	24	18	cover	cover	VERB
cana-1221	24	19	classification	classification	NOUN
cana-1221	24	20	,	,	PUNCT
cana-1221	24	21	and	and	CCONJ
cana-1221	24	22	environmental	environmental	ADJ
cana-1221	24	23	trend	trend	NOUN
cana-1221	24	24	prediction	prediction	NOUN
cana-1221	24	25	.	.	PUNCT
cana-1221	25	1	machine	machine	NOUN
cana-1221	25	2	learning	learning	NOUN
cana-1221	25	3	models	model	NOUN
cana-1221	25	4	,	,	PUNCT
cana-1221	25	5	for	for	ADP
cana-1221	25	6	example	example	NOUN
cana-1221	25	7	,	,	PUNCT
cana-1221	25	8	can	can	AUX
cana-1221	25	9	use	use	VERB
cana-1221	25	10	satellite	satellite	NOUN
cana-1221	25	11	imagery	imagery	NOUN
cana-1221	25	12	to	to	PART
cana-1221	25	13	identify	identify	VERB
cana-1221	25	14	illicit	illicit	ADJ
cana-1221	25	15	forestry	forestry	NOUN
cana-1221	25	16	activities	activity	NOUN
cana-1221	25	17	or	or	CCONJ
cana-1221	25	18	forecast	forecast	VERB
cana-1221	25	19	the	the	DET
cana-1221	25	20	spread	spread	NOUN
cana-1221	25	21	of	of	ADP
cana-1221	25	22	wildfires	wildfire	NOUN
cana-1221	25	23	,	,	PUNCT
cana-1221	25	24	enabling	enable	VERB
cana-1221	25	25	resource	resource	NOUN
cana-1221	25	26	allocation	allocation	NOUN
cana-1221	25	27	and	and	CCONJ
cana-1221	25	28	prompt	prompt	ADJ
cana-1221	25	29	action	action	NOUN
cana-1221	25	30	.	.	PUNCT
cana-1221	26	1	gis	gis	PROPN
cana-1221	26	2	,	,	PUNCT
cana-1221	26	3	a	a	DET
cana-1221	26	4	geospatial	geospatial	ADJ
cana-1221	26	5	technology	technology	NOUN
cana-1221	26	6	,	,	PUNCT
cana-1221	26	7	makes	make	VERB
cana-1221	26	8	spatial	spatial	ADJ
cana-1221	26	9	data	data	NOUN
cana-1221	26	10	production	production	NOUN
cana-1221	26	11	,	,	PUNCT
cana-1221	26	12	analysis	analysis	NOUN
cana-1221	26	13	,	,	PUNCT
cana-1221	26	14	and	and	CCONJ
cana-1221	26	15	visualisation	visualisation	NOUN
cana-1221	26	16	possible	possible	ADJ
cana-1221	26	17	[	[	X
cana-1221	26	18	4	4	NUM
cana-1221	26	19	]	]	PUNCT
cana-1221	26	20	.	.	PUNCT
cana-1221	27	1	it	it	PRON
cana-1221	27	2	offers	offer	VERB
cana-1221	27	3	a	a	DET
cana-1221	27	4	framework	framework	NOUN
cana-1221	27	5	for	for	ADP
cana-1221	27	6	combining	combine	VERB
cana-1221	27	7	different	different	ADJ
cana-1221	27	8	data	datum	NOUN
cana-1221	27	9	sources	source	NOUN
cana-1221	27	10	into	into	ADP
cana-1221	27	11	an	an	DET
cana-1221	27	12	extensive	extensive	ADJ
cana-1221	27	13	spatial	spatial	ADJ
cana-1221	27	14	database	database	NOUN
cana-1221	27	15	,	,	PUNCT
cana-1221	27	16	including	include	VERB
cana-1221	27	17	field	field	NOUN
cana-1221	27	18	surveys	survey	NOUN
cana-1221	27	19	,	,	PUNCT
cana-1221	27	20	satellite	satellite	NOUN
cana-1221	27	21	photography	photography	NOUN
cana-1221	27	22	,	,	PUNCT
cana-1221	27	23	and	and	CCONJ
cana-1221	27	24	demographic	demographic	ADJ
cana-1221	27	25	information	information	NOUN
cana-1221	27	26	.	.	PUNCT
cana-1221	28	1	decision	decision	NOUN
cana-1221	28	2	-	-	PUNCT
cana-1221	28	3	making	make	VERB
cana-1221	28	4	processes	process	NOUN
cana-1221	28	5	are	be	AUX
cana-1221	28	6	aided	aid	VERB
cana-1221	28	7	by	by	ADP
cana-1221	28	8	the	the	DET
cana-1221	28	9	mapping	mapping	NOUN
cana-1221	28	10	and	and	CCONJ
cana-1221	28	11	analysis	analysis	NOUN
cana-1221	28	12	of	of	ADP
cana-1221	28	13	environmental	environmental	ADJ
cana-1221	28	14	data	datum	NOUN
cana-1221	28	15	made	make	VERB
cana-1221	28	16	possible	possible	ADJ
cana-1221	28	17	by	by	ADP
cana-1221	28	18	gis	gis	PROPN
cana-1221	28	19	.	.	PUNCT
cana-1221	29	1	gis	gis	PROPN
cana-1221	29	2	can	can	AUX
cana-1221	29	3	be	be	AUX
cana-1221	29	4	used	use	VERB
cana-1221	29	5	,	,	PUNCT
cana-1221	29	6	for	for	ADP
cana-1221	29	7	instance	instance	NOUN
cana-1221	29	8	,	,	PUNCT
cana-1221	29	9	to	to	PART
cana-1221	29	10	determine	determine	VERB
cana-1221	29	11	the	the	DET
cana-1221	29	12	best	good	ADJ
cana-1221	29	13	sites	site	NOUN
cana-1221	29	14	for	for	ADP
cana-1221	29	15	renewable	renewable	ADJ
cana-1221	29	16	energy	energy	NOUN
cana-1221	29	17	projects	project	NOUN
cana-1221	29	18	and	and	CCONJ
cana-1221	29	19	to	to	PART
cana-1221	29	20	plan	plan	VERB
cana-1221	29	21	urban	urban	ADJ
cana-1221	29	22	growth	growth	NOUN
cana-1221	29	23	to	to	PART
cana-1221	29	24	minimise	minimise	VERB
cana-1221	29	25	[	[	X
cana-1221	29	26	5	5	NUM
cana-1221	29	27	]	]	PUNCT
cana-1221	29	28	.	.	PUNCT
cana-1221	30	1	the	the	DET
cana-1221	30	2	combination	combination	NOUN
cana-1221	30	3	of	of	ADP
cana-1221	30	4	gis	gis	NOUN
cana-1221	30	5	,	,	PUNCT
cana-1221	30	6	ai	ai	VERB
cana-1221	30	7	,	,	PUNCT
cana-1221	30	8	and	and	CCONJ
cana-1221	30	9	remote	remote	ADJ
cana-1221	30	10	sensing	sensing	NOUN
cana-1221	30	11	produces	produce	VERB
cana-1221	30	12	a	a	DET
cana-1221	30	13	potent	potent	ADJ
cana-1221	30	14	framework	framework	NOUN
cana-1221	30	15	for	for	ADP
cana-1221	30	16	handling	handle	VERB
cana-1221	30	17	challenging	challenging	ADJ
cana-1221	30	18	environmental	environmental	ADJ
cana-1221	30	19	problems	problem	NOUN
cana-1221	30	20	[	[	X
cana-1221	30	21	6	6	NUM
cana-1221	30	22	]	]	PUNCT
cana-1221	30	23	.	.	PUNCT
cana-1221	31	1	while	while	SCONJ
cana-1221	31	2	remote	remote	ADJ
cana-1221	31	3	sensing	sensing	NOUN
cana-1221	31	4	offers	offer	VERB
cana-1221	31	5	real	real	ADJ
cana-1221	31	6	-	-	PUNCT
cana-1221	31	7	time	time	NOUN
cana-1221	31	8	and	and	CCONJ
cana-1221	31	9	historical	historical	ADJ
cana-1221	31	10	data	datum	NOUN
cana-1221	31	11	for	for	ADP
cana-1221	31	12	input	input	NOUN
cana-1221	31	13	,	,	PUNCT
cana-1221	31	14	artificial	artificial	ADJ
cana-1221	31	15	intelligence	intelligence	NOUN
cana-1221	31	16	(	(	PUNCT
cana-1221	31	17	ai	ai	NOUN
cana-1221	31	18	)	)	PUNCT
cana-1221	31	19	algorithms	algorithm	NOUN
cana-1221	31	20	can	can	AUX
cana-1221	31	21	be	be	AUX
cana-1221	31	22	linked	link	VERB
cana-1221	31	23	to	to	ADP
cana-1221	31	24	gis	gis	NOUN
cana-1221	31	25	platforms	platform	NOUN
cana-1221	31	26	to	to	PART
cana-1221	31	27	automate	automate	VERB
cana-1221	31	28	the	the	DET
cana-1221	31	29	study	study	NOUN
cana-1221	31	30	of	of	ADP
cana-1221	31	31	massive	massive	ADJ
cana-1221	31	32	datasets	dataset	NOUN
cana-1221	31	33	.	.	PUNCT
cana-1221	32	1	an	an	DET
cana-1221	32	2	approach	approach	NOUN
cana-1221	32	3	to	to	ADP
cana-1221	32	4	environmental	environmental	ADJ
cana-1221	32	5	monitoring	monitoring	NOUN
cana-1221	32	6	and	and	CCONJ
cana-1221	32	7	management	management	NOUN
cana-1221	32	8	that	that	PRON
cana-1221	32	9	is	be	AUX
cana-1221	32	10	more	more	ADV
cana-1221	32	11	dynamic	dynamic	ADJ
cana-1221	32	12	and	and	CCONJ
cana-1221	32	13	responsive	responsive	ADJ
cana-1221	32	14	is	be	AUX
cana-1221	32	15	made	make	VERB
cana-1221	32	16	possible	possible	ADJ
cana-1221	32	17	by	by	ADP
cana-1221	32	18	this	this	DET
cana-1221	32	19	integration	integration	NOUN
cana-1221	32	20	[	[	X
cana-1221	32	21	7	7	NUM
cana-1221	32	22	]	]	PUNCT
cana-1221	32	23	.	.	PUNCT
cana-1221	33	1	for	for	ADP
cana-1221	33	2	example	example	NOUN
cana-1221	33	3	,	,	PUNCT
cana-1221	33	4	satellite	satellite	NOUN
cana-1221	33	5	imaging	imaging	NOUN
cana-1221	33	6	,	,	PUNCT
cana-1221	33	7	machine	machine	NOUN
cana-1221	33	8	learning	learning	NOUN
cana-1221	33	9	,	,	PUNCT
cana-1221	33	10	and	and	CCONJ
cana-1221	33	11	geographic	geographic	ADJ
cana-1221	33	12	information	information	NOUN
cana-1221	33	13	systems	system	NOUN
cana-1221	33	14	(	(	PUNCT
cana-1221	33	15	gis	gis	NOUN
cana-1221	33	16	)	)	PUNCT
cana-1221	33	17	can	can	AUX
cana-1221	33	18	be	be	AUX
cana-1221	33	19	used	use	VERB
cana-1221	33	20	in	in	ADP
cana-1221	33	21	concert	concert	NOUN
cana-1221	33	22	to	to	PART
cana-1221	33	23	track	track	VERB
cana-1221	33	24	and	and	CCONJ
cana-1221	33	25	forecast	forecast	VERB
cana-1221	33	26	how	how	SCONJ
cana-1221	33	27	climate	climate	NOUN
cana-1221	33	28	change	change	NOUN
cana-1221	33	29	would	would	AUX
cana-1221	33	30	affect	affect	VERB
cana-1221	33	31	biodiversity	biodiversity	NOUN
cana-1221	33	32	,	,	PUNCT
cana-1221	33	33	which	which	PRON
cana-1221	33	34	will	will	AUX
cana-1221	33	35	aid	aid	VERB
cana-1221	33	36	conservation	conservation	NOUN
cana-1221	33	37	efforts	effort	NOUN
cana-1221	33	38	.	.	PUNCT
cana-1221	34	1	although	although	SCONJ
cana-1221	34	2	geographic	geographic	ADJ
cana-1221	34	3	data	datum	NOUN
cana-1221	34	4	analysis	analysis	NOUN
cana-1221	34	5	advances	advance	NOUN
cana-1221	34	6	have	have	AUX
cana-1221	34	7	shown	show	VERB
cana-1221	34	8	significant	significant	ADJ
cana-1221	34	9	potential	potential	NOUN
cana-1221	34	10	,	,	PUNCT
cana-1221	34	11	there	there	PRON
cana-1221	34	12	are	be	VERB
cana-1221	34	13	still	still	ADV
cana-1221	34	14	obstacles	obstacle	NOUN
cana-1221	34	15	to	to	PART
cana-1221	34	16	overcome	overcome	VERB
cana-1221	34	17	.	.	PUNCT
cana-1221	35	1	it	it	PRON
cana-1221	35	2	is	be	AUX
cana-1221	35	3	necessary	necessary	ADJ
cana-1221	35	4	to	to	PART
cana-1221	35	5	address	address	VERB
cana-1221	35	6	issues	issue	NOUN
cana-1221	35	7	like	like	ADP
cana-1221	35	8	data	datum	NOUN
cana-1221	35	9	privacy	privacy	NOUN
cana-1221	35	10	,	,	PUNCT
cana-1221	35	11	standardised	standardise	VERB
cana-1221	35	12	protocol	protocol	NOUN
cana-1221	35	13	requirements	requirement	NOUN
cana-1221	35	14	,	,	PUNCT
cana-1221	35	15	and	and	CCONJ
cana-1221	35	16	technology	technology	NOUN
cana-1221	35	17	accessibility	accessibility	NOUN
cana-1221	35	18	in	in	ADP
cana-1221	35	19	developing	develop	VERB
cana-1221	35	20	nations	nation	NOUN
cana-1221	35	21	[	[	X
cana-1221	35	22	8	8	NUM
cana-1221	35	23	]	]	PUNCT
cana-1221	35	24	.	.	PUNCT
cana-1221	36	1	irrespective	irrespective	ADV
cana-1221	36	2	of	of	ADP
cana-1221	36	3	the	the	DET
cana-1221	36	4	context	context	NOUN
cana-1221	36	5	and	and	CCONJ
cana-1221	36	6	the	the	DET
cana-1221	36	7	motive	motive	NOUN
cana-1221	36	8	behind	behind	ADP
cana-1221	36	9	the	the	DET
cana-1221	36	10	instances	instance	NOUN
cana-1221	36	11	above	above	ADV
cana-1221	36	12	of	of	ADP
cana-1221	36	13	environmental	environmental	ADJ
cana-1221	36	14	modelling	modelling	NOUN
cana-1221	36	15	and	and	CCONJ
cana-1221	36	16	mappings	mapping	NOUN
cana-1221	36	17	,	,	PUNCT
cana-1221	36	18	the	the	DET
cana-1221	36	19	studies	study	NOUN
cana-1221	36	20	are	be	AUX
cana-1221	36	21	inevitably	inevitably	ADV
cana-1221	36	22	and	and	CCONJ
cana-1221	36	23	understandably	understandably	ADV
cana-1221	36	24	centred	centre	VERB
cana-1221	36	25	on	on	ADP
cana-1221	36	26	the	the	DET
cana-1221	36	27	theme	theme	NOUN
cana-1221	36	28	of	of	ADP
cana-1221	36	29	utilization	utilization	NOUN
cana-1221	36	30	of	of	ADP
cana-1221	36	31	georeferenced	georeferenced	ADJ
cana-1221	36	32	data	datum	NOUN
cana-1221	36	33	about	about	ADP
cana-1221	36	34	the	the	DET
cana-1221	36	35	topology	topology	NOUN
cana-1221	36	36	and	and	CCONJ
cana-1221	36	37	the	the	DET
cana-1221	36	38	associated	associated	ADJ
cana-1221	36	39	landscape	landscape	NOUN
cana-1221	36	40	.	.	PUNCT
cana-1221	37	1	these	these	DET
cana-1221	37	2	factors	factor	NOUN
cana-1221	37	3	are	be	AUX
cana-1221	37	4	expressed	express	VERB
cana-1221	37	5	as	as	ADP
cana-1221	37	6	inventory	inventory	NOUN
cana-1221	37	7	and	and	CCONJ
cana-1221	37	8	the	the	DET
cana-1221	37	9	characteristic	characteristic	ADJ
cana-1221	37	10	traits	trait	NOUN
cana-1221	37	11	of	of	ADP
cana-1221	37	12	the	the	DET
cana-1221	37	13	locations	location	NOUN
cana-1221	37	14	in	in	ADP
cana-1221	37	15	the	the	DET
cana-1221	37	16	inventory	inventory	NOUN
cana-1221	37	17	.	.	PUNCT
cana-1221	38	1	in	in	ADP
cana-1221	38	2	the	the	DET
cana-1221	38	3	case	case	NOUN
cana-1221	38	4	of	of	ADP
cana-1221	38	5	natural	natural	ADJ
cana-1221	38	6	resource	resource	NOUN
cana-1221	38	7	potentiality	potentiality	NOUN
cana-1221	38	8	mappings	mapping	NOUN
cana-1221	38	9	,	,	PUNCT
cana-1221	38	10	the	the	DET
cana-1221	38	11	inventory	inventory	NOUN
cana-1221	38	12	comprises	comprise	NOUN
cana-1221	38	13	of	of	ADP
cana-1221	38	14	locations	location	NOUN
cana-1221	38	15	that	that	PRON
cana-1221	38	16	have	have	VERB
cana-1221	38	17	in	in	ADP
cana-1221	38	18	the	the	DET
cana-1221	38	19	past	past	NOUN
cana-1221	38	20	shown	show	VERB
cana-1221	38	21	evidence	evidence	NOUN
cana-1221	38	22	to	to	ADP
cana-1221	38	23	yielding	yield	VERB
cana-1221	38	24	the	the	DET
cana-1221	38	25	resource	resource	NOUN
cana-1221	38	26	under	under	ADP
cana-1221	38	27	investigation	investigation	NOUN
cana-1221	38	28	,	,	PUNCT
cana-1221	38	29	while	while	SCONJ
cana-1221	38	30	the	the	DET
cana-1221	38	31	characteristics	characteristic	NOUN
cana-1221	38	32	for	for	ADP
cana-1221	38	33	the	the	DET
cana-1221	38	34	topology	topology	NOUN
cana-1221	38	35	would	would	AUX
cana-1221	38	36	give	give	VERB
cana-1221	38	37	insight	insight	NOUN
cana-1221	38	38	into	into	ADP
cana-1221	38	39	the	the	DET
cana-1221	38	40	reasons	reason	NOUN
cana-1221	38	41	that	that	PRON
cana-1221	38	42	caused	cause	VERB
cana-1221	38	43	or	or	CCONJ
cana-1221	38	44	revealed	reveal	VERB
cana-1221	38	45	that	that	SCONJ
cana-1221	38	46	availability	availability	NOUN
cana-1221	38	47	and	and	CCONJ
cana-1221	38	48	extractability	extractability	NOUN
cana-1221	38	49	of	of	ADP
cana-1221	38	50	the	the	DET
cana-1221	38	51	same	same	ADJ
cana-1221	38	52	resource	resource	NOUN
cana-1221	39	1	[	[	X
cana-1221	39	2	9	9	NUM
cana-1221	39	3	]	]	PUNCT
cana-1221	39	4	.	.	PUNCT
cana-1221	40	1	for	for	ADP
cana-1221	40	2	instance	instance	NOUN
cana-1221	40	3	,	,	PUNCT
cana-1221	40	4	in	in	ADP
cana-1221	40	5	case	case	NOUN
cana-1221	40	6	of	of	ADP
cana-1221	40	7	water	water	NOUN
cana-1221	40	8	resource	resource	NOUN
cana-1221	40	9	mappings	mapping	NOUN
cana-1221	40	10	,	,	PUNCT
cana-1221	40	11	the	the	DET
cana-1221	40	12	rainfall	rainfall	NOUN
cana-1221	40	13	patterns	pattern	NOUN
cana-1221	40	14	in	in	ADP
cana-1221	40	15	the	the	DET
cana-1221	40	16	region	region	NOUN
cana-1221	40	17	can	can	AUX
cana-1221	40	18	hold	hold	VERB
cana-1221	40	19	clues	clue	NOUN
cana-1221	40	20	to	to	ADP
cana-1221	40	21	the	the	DET
cana-1221	40	22	water	water	NOUN
cana-1221	40	23	table	table	NOUN
cana-1221	40	24	levels	level	NOUN
cana-1221	40	25	in	in	ADP
cana-1221	40	26	the	the	DET
cana-1221	40	27	region	region	NOUN
cana-1221	40	28	.	.	PUNCT
cana-1221	41	1	also	also	ADV
cana-1221	41	2	,	,	PUNCT
cana-1221	41	3	the	the	DET
cana-1221	41	4	soil	soil	NOUN
cana-1221	41	5	texture	texture	NOUN
cana-1221	41	6	in	in	ADP
cana-1221	41	7	the	the	DET
cana-1221	41	8	region	region	NOUN
cana-1221	41	9	owing	owe	VERB
cana-1221	41	10	to	to	ADP
cana-1221	41	11	their	their	PRON
cana-1221	41	12	ability	ability	NOUN
cana-1221	41	13	to	to	PART
cana-1221	41	14	decipher	decipher	VERB
cana-1221	41	15	the	the	DET
cana-1221	41	16	region	region	NOUN
cana-1221	41	17	's	's	PART
cana-1221	41	18	porosity	porosity	NOUN
cana-1221	41	19	and	and	CCONJ
cana-1221	41	20	water	water	NOUN
cana-1221	41	21	holding	hold	VERB
cana-1221	41	22	capacity	capacity	NOUN
cana-1221	41	23	can	can	AUX
cana-1221	41	24	also	also	ADV
cana-1221	41	25	explain	explain	VERB
cana-1221	41	26	the	the	DET
cana-1221	41	27	historical	historical	ADJ
cana-1221	41	28	presence	presence	NOUN
cana-1221	41	29	of	of	ADP
cana-1221	41	30	water	water	NOUN
cana-1221	41	31	in	in	ADP
cana-1221	41	32	the	the	DET
cana-1221	41	33	past	past	ADJ
cana-1221	41	34	inventory	inventory	NOUN
cana-1221	41	35	identified	identify	VERB
cana-1221	41	36	in	in	ADP
cana-1221	41	37	the	the	DET
cana-1221	41	38	region	region	NOUN
cana-1221	41	39	[	[	X
cana-1221	41	40	10	10	NUM
cana-1221	41	41	]	]	PUNCT
cana-1221	41	42	.	.	PUNCT
cana-1221	42	1	similarly	similarly	ADV
cana-1221	42	2	,	,	PUNCT
cana-1221	42	3	in	in	ADP
cana-1221	42	4	case	case	NOUN
cana-1221	42	5	of	of	ADP
cana-1221	42	6	wildlife	wildlife	NOUN
cana-1221	42	7	habitat	habitat	NOUN
cana-1221	42	8	suitability	suitability	NOUN
cana-1221	42	9	mappings	mapping	NOUN
cana-1221	42	10	,	,	PUNCT
cana-1221	42	11	the	the	DET
cana-1221	42	12	distance	distance	NOUN
cana-1221	42	13	from	from	ADP
cana-1221	42	14	dense	dense	ADJ
cana-1221	42	15	human	human	ADJ
cana-1221	42	16	habitation	habitation	NOUN
cana-1221	42	17	and	and	CCONJ
cana-1221	42	18	settlements	settlement	NOUN
cana-1221	42	19	could	could	AUX
cana-1221	42	20	hold	hold	VERB
cana-1221	42	21	vital	vital	ADJ
cana-1221	42	22	clues	clue	NOUN
cana-1221	42	23	to	to	ADP
cana-1221	42	24	the	the	DET
cana-1221	42	25	past	past	ADJ
cana-1221	42	26	inventory	inventory	NOUN
cana-1221	42	27	of	of	ADP
cana-1221	42	28	wildlife	wildlife	NOUN
cana-1221	42	29	sightings	sighting	NOUN
cana-1221	42	30	in	in	ADP
cana-1221	42	31	the	the	DET
cana-1221	42	32	past	past	NOUN
cana-1221	42	33	for	for	ADP
cana-1221	42	34	the	the	DET
cana-1221	42	35	region	region	NOUN
cana-1221	42	36	under	under	ADP
cana-1221	42	37	investigation	investigation	NOUN
cana-1221	42	38	.	.	PUNCT
cana-1221	43	1	on	on	ADP
cana-1221	43	2	the	the	DET
cana-1221	43	3	other	other	ADJ
cana-1221	43	4	hand	hand	NOUN
cana-1221	43	5	,	,	PUNCT
cana-1221	43	6	the	the	DET
cana-1221	43	7	natural	natural	ADJ
cana-1221	43	8	hazard	hazard	NOUN
cana-1221	43	9	susceptibility	susceptibility	NOUN
cana-1221	43	10	modeling	modeling	NOUN
cana-1221	43	11	,	,	PUNCT
cana-1221	43	12	establishes	establish	VERB
cana-1221	43	13	the	the	DET
cana-1221	43	14	mapping	mapping	NOUN
cana-1221	43	15	between	between	ADP
cana-1221	43	16	the	the	DET
cana-1221	43	17	inventory	inventory	NOUN
cana-1221	43	18	of	of	ADP
cana-1221	43	19	past	past	ADJ
cana-1221	43	20	and	and	CCONJ
cana-1221	43	21	historic	historic	ADJ
cana-1221	43	22	locations	location	NOUN
cana-1221	43	23	in	in	ADP
cana-1221	43	24	the	the	DET
cana-1221	43	25	region	region	NOUN
cana-1221	43	26	that	that	PRON
cana-1221	43	27	witnessed	witness	VERB
cana-1221	43	28	the	the	DET
cana-1221	43	29	hazard	hazard	NOUN
cana-1221	43	30	event	event	NOUN
cana-1221	43	31	and	and	CCONJ
cana-1221	43	32	the	the	DET
cana-1221	43	33	influencing	influencing	NOUN
cana-1221	43	34	or	or	CCONJ
cana-1221	43	35	the	the	DET
cana-1221	43	36	conditioning	conditioning	NOUN
cana-1221	43	37	factors	factor	NOUN
cana-1221	43	38	that	that	PRON
cana-1221	43	39	probably	probably	ADV
cana-1221	43	40	lead	lead	VERB
cana-1221	43	41	to	to	ADP
cana-1221	43	42	or	or	CCONJ
cana-1221	43	43	caused	cause	VERB
cana-1221	43	44	or	or	CCONJ
cana-1221	43	45	prevented	prevent	VERB
cana-1221	43	46	the	the	DET
cana-1221	43	47	hazard	hazard	NOUN
cana-1221	43	48	in	in	ADP
cana-1221	43	49	its	its	PRON
cana-1221	43	50	final	final	ADJ
cana-1221	43	51	unfolding	unfolding	NOUN
cana-1221	43	52	.	.	PUNCT
cana-1221	44	1	for	for	ADP
cana-1221	44	2	example	example	NOUN
cana-1221	44	3	,	,	PUNCT
cana-1221	44	4	in	in	ADP
cana-1221	44	5	case	case	NOUN
cana-1221	44	6	of	of	ADP
cana-1221	44	7	wildfire	wildfire	NOUN
cana-1221	44	8	susceptibility	susceptibility	NOUN
cana-1221	44	9	zonations	zonation	NOUN
cana-1221	44	10	,	,	PUNCT
cana-1221	44	11	the	the	DET
cana-1221	44	12	surface	surface	NOUN
cana-1221	44	13	communications	communication	NOUN
cana-1221	44	14	on	on	ADP
cana-1221	44	15	applied	apply	VERB
cana-1221	44	16	nonlinear	nonlinear	ADJ
cana-1221	44	17	analysis	analysis	NOUN
cana-1221	44	18	issn	issn	NOUN
cana-1221	44	19	:	:	PUNCT
cana-1221	44	20	1074	1074	NUM
cana-1221	44	21	-	-	PUNCT
cana-1221	44	22	133x	133x	NUM
cana-1221	44	23	vol	vol	NOUN
cana-1221	44	24	31	31	NUM
cana-1221	44	25	no	no	NOUN
cana-1221	44	26	.	.	PUNCT
cana-1221	45	1	6s	6s	NUM
cana-1221	45	2	(	(	PUNCT
cana-1221	45	3	2024	2024	NUM
cana-1221	45	4	)	)	PUNCT
cana-1221	45	5	270	270	NUM
cana-1221	45	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1221	45	7	temperature	temperature	NOUN
cana-1221	45	8	,	,	PUNCT
cana-1221	45	9	vegetation	vegetation	NOUN
cana-1221	45	10	density	density	NOUN
cana-1221	45	11	and	and	CCONJ
cana-1221	45	12	distance	distance	NOUN
cana-1221	45	13	from	from	ADP
cana-1221	45	14	settlements	settlement	NOUN
cana-1221	45	15	,	,	PUNCT
cana-1221	45	16	roads	road	NOUN
cana-1221	45	17	could	could	AUX
cana-1221	45	18	help	help	VERB
cana-1221	45	19	decipher	decipher	ADV
cana-1221	45	20	active	active	ADJ
cana-1221	45	21	wildfires	wildfire	NOUN
cana-1221	45	22	in	in	ADP
cana-1221	45	23	the	the	DET
cana-1221	45	24	region	region	NOUN
cana-1221	45	25	.	.	PUNCT
cana-1221	46	1	an	an	DET
cana-1221	46	2	automation	automation	NOUN
cana-1221	46	3	of	of	ADP
cana-1221	46	4	such	such	ADJ
cana-1221	46	5	mappings	mapping	NOUN
cana-1221	46	6	require	require	VERB
cana-1221	46	7	mapping	mapping	NOUN
cana-1221	46	8	between	between	ADP
cana-1221	46	9	the	the	DET
cana-1221	46	10	locations	location	NOUN
cana-1221	46	11	in	in	ADP
cana-1221	46	12	the	the	DET
cana-1221	46	13	inventory	inventory	NOUN
cana-1221	46	14	and	and	CCONJ
cana-1221	46	15	preexisting	preexist	VERB
cana-1221	46	16	conditions	condition	NOUN
cana-1221	46	17	on	on	ADP
cana-1221	46	18	ground	ground	NOUN
cana-1221	46	19	.	.	PUNCT
cana-1221	47	1	the	the	DET
cana-1221	47	2	inventory	inventory	NOUN
cana-1221	47	3	in	in	ADP
cana-1221	47	4	general	general	ADJ
cana-1221	47	5	,	,	PUNCT
cana-1221	47	6	comprises	comprise	NOUN
cana-1221	47	7	of	of	ADP
cana-1221	47	8	locations	location	NOUN
cana-1221	47	9	that	that	PRON
cana-1221	47	10	had	have	VERB
cana-1221	47	11	evidence	evidence	NOUN
cana-1221	47	12	of	of	ADP
cana-1221	47	13	historic	historic	ADJ
cana-1221	47	14	presence	presence	NOUN
cana-1221	47	15	of	of	ADP
cana-1221	47	16	resources	resource	NOUN
cana-1221	47	17	(	(	PUNCT
cana-1221	47	18	coal	coal	NOUN
cana-1221	47	19	,	,	PUNCT
cana-1221	47	20	natural	natural	ADJ
cana-1221	47	21	gas	gas	NOUN
cana-1221	47	22	,	,	PUNCT
cana-1221	47	23	petroleum	petroleum	NOUN
cana-1221	47	24	,	,	PUNCT
cana-1221	47	25	water	water	NOUN
cana-1221	47	26	,	,	PUNCT
cana-1221	47	27	etc	etc	X
cana-1221	47	28	.	.	X
cana-1221	47	29	)	)	PUNCT
cana-1221	47	30	or	or	CCONJ
cana-1221	47	31	evidence	evidence	NOUN
cana-1221	47	32	of	of	ADP
cana-1221	47	33	historic	historic	ADJ
cana-1221	47	34	occurrence	occurrence	NOUN
cana-1221	47	35	of	of	ADP
cana-1221	47	36	hazard	hazard	NOUN
cana-1221	47	37	/	/	SYM
cana-1221	47	38	disaster	disaster	NOUN
cana-1221	47	39	(	(	PUNCT
cana-1221	47	40	such	such	ADJ
cana-1221	47	41	as	as	ADP
cana-1221	47	42	floods	flood	NOUN
cana-1221	47	43	,	,	PUNCT
cana-1221	47	44	landslides	landslide	NOUN
cana-1221	47	45	,	,	PUNCT
cana-1221	47	46	wildfires	wildfire	VERB
cana-1221	47	47	,	,	PUNCT
cana-1221	47	48	etc	etc	X
cana-1221	47	49	.	.	X
cana-1221	47	50	)	)	PUNCT
cana-1221	47	51	.	.	PUNCT
cana-1221	48	1	since	since	SCONJ
cana-1221	48	2	the	the	DET
cana-1221	48	3	inventory	inventory	NOUN
cana-1221	48	4	and	and	CCONJ
cana-1221	48	5	the	the	DET
cana-1221	48	6	associated	associated	ADJ
cana-1221	48	7	factors	factor	NOUN
cana-1221	48	8	are	be	AUX
cana-1221	48	9	very	very	ADV
cana-1221	48	10	much	much	ADV
cana-1221	48	11	locatable	locatable	ADJ
cana-1221	48	12	in	in	ADP
cana-1221	48	13	the	the	DET
cana-1221	48	14	space	space	NOUN
cana-1221	48	15	of	of	ADP
cana-1221	48	16	earth	earth	NOUN
cana-1221	48	17	's	's	PART
cana-1221	48	18	surface	surface	NOUN
cana-1221	48	19	,	,	PUNCT
cana-1221	48	20	these	these	DET
cana-1221	48	21	mappings	mapping	NOUN
cana-1221	48	22	have	have	VERB
cana-1221	48	23	a	a	DET
cana-1221	48	24	spacial	spacial	ADJ
cana-1221	48	25	aspect	aspect	NOUN
cana-1221	48	26	inherent	inherent	ADJ
cana-1221	48	27	in	in	ADP
cana-1221	48	28	them	they	PRON
cana-1221	48	29	.	.	PUNCT
cana-1221	49	1	any	any	DET
cana-1221	49	2	analysis	analysis	NOUN
cana-1221	49	3	that	that	PRON
cana-1221	49	4	considers	consider	VERB
cana-1221	49	5	the	the	DET
cana-1221	49	6	space	space	NOUN
cana-1221	49	7	to	to	PART
cana-1221	49	8	gain	gain	VERB
cana-1221	49	9	an	an	DET
cana-1221	49	10	overall	overall	ADJ
cana-1221	49	11	perspective	perspective	NOUN
cana-1221	49	12	into	into	ADP
cana-1221	49	13	cognizance	cognizance	NOUN
cana-1221	49	14	is	be	AUX
cana-1221	49	15	referred	refer	VERB
cana-1221	49	16	to	to	ADP
cana-1221	49	17	as	as	ADP
cana-1221	49	18	spatial	spatial	ADJ
cana-1221	49	19	analysis	analysis	NOUN
cana-1221	49	20	.	.	PUNCT
cana-1221	50	1	the	the	DET
cana-1221	50	2	connotations	connotation	NOUN
cana-1221	50	3	and	and	CCONJ
cana-1221	50	4	applications	application	NOUN
cana-1221	50	5	of	of	ADP
cana-1221	50	6	the	the	DET
cana-1221	50	7	field	field	NOUN
cana-1221	50	8	of	of	ADP
cana-1221	50	9	spatial	spatial	ADJ
cana-1221	50	10	analytics	analytic	NOUN
cana-1221	50	11	are	be	AUX
cana-1221	50	12	varied	varied	ADJ
cana-1221	50	13	such	such	ADJ
cana-1221	50	14	as	as	ADP
cana-1221	50	15	:	:	PUNCT
cana-1221	50	16	two	two	NUM
cana-1221	50	17	dimensional	dimensional	ADJ
cana-1221	50	18	plane	plane	NOUN
cana-1221	50	19	of	of	ADP
cana-1221	50	20	paper	paper	NOUN
cana-1221	50	21	(	(	PUNCT
cana-1221	50	22	x	x	NOUN
cana-1221	50	23	-	-	NOUN
cana-1221	50	24	ray	ray	NOUN
cana-1221	50	25	,	,	PUNCT
cana-1221	50	26	mri	mri	NOUN
cana-1221	50	27	etc	etc	X
cana-1221	50	28	)	)	PUNCT
cana-1221	50	29	,	,	PUNCT
cana-1221	50	30	to	to	ADP
cana-1221	50	31	the	the	DET
cana-1221	50	32	higher	high	ADJ
cana-1221	50	33	dimensional	dimensional	ADJ
cana-1221	50	34	human	human	ADJ
cana-1221	50	35	body	body	NOUN
cana-1221	50	36	scans	scan	NOUN
cana-1221	50	37	(	(	PUNCT
cana-1221	50	38	brain	brain	NOUN
cana-1221	50	39	imaging	imaging	NOUN
cana-1221	50	40	,	,	PUNCT
cana-1221	50	41	ultrasounds	ultrasound	NOUN
cana-1221	50	42	,	,	PUNCT
cana-1221	50	43	etc	etc	X
cana-1221	50	44	.	.	X
cana-1221	50	45	)	)	PUNCT
cana-1221	50	46	in	in	ADP
cana-1221	50	47	the	the	DET
cana-1221	50	48	present	present	ADJ
cana-1221	50	49	context	context	NOUN
cana-1221	50	50	of	of	ADP
cana-1221	50	51	environmental	environmental	ADJ
cana-1221	50	52	modelling	modelling	NOUN
cana-1221	50	53	,	,	PUNCT
cana-1221	50	54	the	the	DET
cana-1221	50	55	space	space	NOUN
cana-1221	50	56	refers	refer	VERB
cana-1221	50	57	to	to	ADP
cana-1221	50	58	the	the	DET
cana-1221	50	59	earth	earth	NOUN
cana-1221	50	60	's	's	PART
cana-1221	50	61	surface	surface	NOUN
cana-1221	50	62	,	,	PUNCT
cana-1221	50	63	leading	lead	VERB
cana-1221	50	64	to	to	ADP
cana-1221	50	65	the	the	DET
cana-1221	50	66	quintessential	quintessential	ADJ
cana-1221	50	67	geospatial	geospatial	ADJ
cana-1221	50	68	analysis	analysis	NOUN
cana-1221	50	69	[	[	X
cana-1221	50	70	11	11	NUM
cana-1221	50	71	]	]	PUNCT
cana-1221	50	72	.	.	PUNCT
cana-1221	51	1	traditionally	traditionally	ADV
cana-1221	51	2	,	,	PUNCT
cana-1221	51	3	the	the	DET
cana-1221	51	4	aforementioned	aforementioned	ADJ
cana-1221	51	5	studies	study	NOUN
cana-1221	51	6	analyzing	analyze	VERB
cana-1221	51	7	the	the	DET
cana-1221	51	8	ground	ground	NOUN
cana-1221	51	9	data	datum	NOUN
cana-1221	51	10	of	of	ADP
cana-1221	51	11	inventory	inventory	NOUN
cana-1221	51	12	and	and	CCONJ
cana-1221	51	13	associated	associated	ADJ
cana-1221	51	14	details	detail	NOUN
cana-1221	51	15	required	require	VERB
cana-1221	51	16	huge	huge	ADJ
cana-1221	51	17	time	time	NOUN
cana-1221	51	18	and	and	CCONJ
cana-1221	51	19	capital	capital	NOUN
cana-1221	51	20	investments	investment	NOUN
cana-1221	51	21	since	since	SCONJ
cana-1221	51	22	the	the	DET
cana-1221	51	23	data	datum	NOUN
cana-1221	51	24	needed	need	VERB
cana-1221	51	25	to	to	PART
cana-1221	51	26	be	be	AUX
cana-1221	51	27	identified	identify	VERB
cana-1221	51	28	,	,	PUNCT
cana-1221	51	29	collected	collect	VERB
cana-1221	51	30	and	and	CCONJ
cana-1221	51	31	gathered	gather	VERB
cana-1221	51	32	by	by	ADP
cana-1221	51	33	means	mean	NOUN
cana-1221	51	34	of	of	ADP
cana-1221	51	35	laborious	laborious	ADJ
cana-1221	51	36	,	,	PUNCT
cana-1221	51	37	time	time	NOUN
cana-1221	51	38	consuming	consuming	NOUN
cana-1221	51	39	and	and	CCONJ
cana-1221	51	40	expensive	expensive	ADJ
cana-1221	51	41	field	field	NOUN
cana-1221	51	42	surveys	survey	NOUN
cana-1221	51	43	.	.	PUNCT
cana-1221	52	1	also	also	ADV
cana-1221	52	2	since	since	SCONJ
cana-1221	52	3	these	these	PRON
cana-1221	52	4	were	be	AUX
cana-1221	52	5	manual	manual	ADJ
cana-1221	52	6	tasks	task	NOUN
cana-1221	52	7	they	they	PRON
cana-1221	52	8	would	would	AUX
cana-1221	52	9	require	require	VERB
cana-1221	52	10	long	long	ADJ
cana-1221	52	11	stretches	stretch	NOUN
cana-1221	52	12	of	of	ADP
cana-1221	52	13	time	time	NOUN
cana-1221	52	14	spent	spend	VERB
cana-1221	52	15	in	in	ADP
cana-1221	52	16	just	just	ADV
cana-1221	52	17	data	data	NOUN
cana-1221	52	18	collection	collection	NOUN
cana-1221	52	19	and	and	CCONJ
cana-1221	52	20	hence	hence	ADV
cana-1221	52	21	,	,	PUNCT
cana-1221	52	22	would	would	AUX
cana-1221	52	23	also	also	ADV
cana-1221	52	24	inevitably	inevitably	ADV
cana-1221	52	25	be	be	AUX
cana-1221	52	26	prone	prone	ADJ
cana-1221	52	27	to	to	ADP
cana-1221	52	28	human	human	ADJ
cana-1221	52	29	errors	error	NOUN
cana-1221	52	30	[	[	X
cana-1221	52	31	12	12	NUM
cana-1221	52	32	]	]	PUNCT
cana-1221	52	33	.	.	PUNCT
cana-1221	53	1	additionally	additionally	ADV
cana-1221	53	2	,	,	PUNCT
cana-1221	53	3	in	in	ADP
cana-1221	53	4	the	the	DET
cana-1221	53	5	case	case	NOUN
cana-1221	53	6	of	of	ADP
cana-1221	53	7	natural	natural	ADJ
cana-1221	53	8	hazard	hazard	NOUN
cana-1221	53	9	mappings	mapping	NOUN
cana-1221	53	10	,	,	PUNCT
cana-1221	53	11	the	the	DET
cana-1221	53	12	ground	ground	NOUN
cana-1221	53	13	work	work	NOUN
cana-1221	53	14	was	be	AUX
cana-1221	53	15	not	not	PART
cana-1221	53	16	just	just	ADV
cana-1221	53	17	tricky	tricky	ADJ
cana-1221	53	18	but	but	CCONJ
cana-1221	53	19	would	would	AUX
cana-1221	53	20	sometimes	sometimes	ADV
cana-1221	53	21	prove	prove	VERB
cana-1221	53	22	to	to	PART
cana-1221	53	23	be	be	AUX
cana-1221	53	24	unachievable	unachievable	ADJ
cana-1221	53	25	since	since	SCONJ
cana-1221	53	26	the	the	DET
cana-1221	53	27	areas	area	NOUN
cana-1221	53	28	under	under	ADP
cana-1221	53	29	investigation	investigation	NOUN
cana-1221	53	30	would	would	AUX
cana-1221	53	31	be	be	AUX
cana-1221	53	32	under	under	ADP
cana-1221	53	33	tremendous	tremendous	ADJ
cana-1221	53	34	stress	stress	NOUN
cana-1221	53	35	in	in	ADP
cana-1221	53	36	the	the	DET
cana-1221	53	37	aftermath	aftermath	NOUN
cana-1221	53	38	of	of	ADP
cana-1221	53	39	disasters	disaster	NOUN
cana-1221	53	40	and	and	CCONJ
cana-1221	53	41	associated	associated	ADJ
cana-1221	53	42	tragedies	tragedy	NOUN
cana-1221	53	43	(	(	PUNCT
cana-1221	53	44	failed	fail	VERB
cana-1221	53	45	communication	communication	NOUN
cana-1221	53	46	and	and	CCONJ
cana-1221	53	47	connectivity	connectivity	NOUN
cana-1221	53	48	)	)	PUNCT
cana-1221	53	49	and	and	CCONJ
cana-1221	53	50	could	could	AUX
cana-1221	53	51	even	even	ADV
cana-1221	53	52	be	be	AUX
cana-1221	53	53	inaccessible	inaccessible	ADJ
cana-1221	53	54	thus	thus	ADV
cana-1221	53	55	preventing	prevent	VERB
cana-1221	53	56	any	any	DET
cana-1221	53	57	field	field	NOUN
cana-1221	53	58	surveys	survey	NOUN
cana-1221	53	59	.	.	PUNCT
cana-1221	54	1	mapping	map	VERB
cana-1221	54	2	natural	natural	ADJ
cana-1221	54	3	resources	resource	NOUN
cana-1221	54	4	such	such	ADJ
cana-1221	54	5	as	as	ADP
cana-1221	54	6	oil	oil	NOUN
cana-1221	54	7	and	and	CCONJ
cana-1221	54	8	natural	natural	ADJ
cana-1221	54	9	gas	gas	NOUN
cana-1221	54	10	can	can	AUX
cana-1221	54	11	also	also	ADV
cana-1221	54	12	be	be	AUX
cana-1221	54	13	challenging	challenge	VERB
cana-1221	54	14	due	due	ADJ
cana-1221	54	15	to	to	ADP
cana-1221	54	16	their	their	PRON
cana-1221	54	17	location	location	NOUN
cana-1221	54	18	in	in	ADP
cana-1221	54	19	deep	deep	ADJ
cana-1221	54	20	reservoirs	reservoir	NOUN
cana-1221	54	21	under	under	ADP
cana-1221	54	22	the	the	DET
cana-1221	54	23	earth	earth	NOUN
cana-1221	54	24	's	's	PART
cana-1221	54	25	surface	surface	NOUN
cana-1221	54	26	,	,	PUNCT
cana-1221	54	27	making	make	VERB
cana-1221	54	28	them	they	PRON
cana-1221	54	29	inaccessible	inaccessible	ADJ
cana-1221	54	30	.	.	PUNCT
cana-1221	55	1	however	however	ADV
cana-1221	55	2	,	,	PUNCT
cana-1221	55	3	the	the	DET
cana-1221	55	4	science	science	NOUN
cana-1221	55	5	of	of	ADP
cana-1221	55	6	remote	remote	ADJ
cana-1221	55	7	sensing	sensing	NOUN
cana-1221	55	8	has	have	AUX
cana-1221	55	9	come	come	VERB
cana-1221	55	10	to	to	ADP
cana-1221	55	11	the	the	DET
cana-1221	55	12	rescue	rescue	NOUN
cana-1221	55	13	,	,	PUNCT
cana-1221	55	14	as	as	SCONJ
cana-1221	55	15	it	it	PRON
cana-1221	55	16	allows	allow	VERB
cana-1221	55	17	capturing	capture	VERB
cana-1221	55	18	and	and	CCONJ
cana-1221	55	19	accessing	access	VERB
cana-1221	55	20	information	information	NOUN
cana-1221	55	21	without	without	ADP
cana-1221	55	22	the	the	DET
cana-1221	55	23	need	need	NOUN
cana-1221	55	24	for	for	ADP
cana-1221	55	25	physical	physical	ADJ
cana-1221	55	26	presence	presence	NOUN
cana-1221	55	27	at	at	ADP
cana-1221	55	28	the	the	DET
cana-1221	55	29	region	region	NOUN
cana-1221	55	30	under	under	ADP
cana-1221	55	31	investigation	investigation	NOUN
cana-1221	55	32	through	through	ADP
cana-1221	55	33	satellites	satellite	NOUN
cana-1221	55	34	.	.	PUNCT
cana-1221	56	1	2	2	X
cana-1221	56	2	.	.	X
cana-1221	56	3	background	background	NOUN
cana-1221	56	4	and	and	CCONJ
cana-1221	56	5	dataset	dataset	VERB
cana-1221	56	6	this	this	DET
cana-1221	56	7	section	section	NOUN
cana-1221	56	8	explains	explain	VERB
cana-1221	56	9	the	the	DET
cana-1221	56	10	recent	recent	ADJ
cana-1221	56	11	research	research	NOUN
cana-1221	56	12	in	in	ADP
cana-1221	56	13	geospatial	geospatial	ADJ
cana-1221	56	14	data	datum	NOUN
cana-1221	56	15	analysis	analysis	NOUN
cana-1221	56	16	,	,	PUNCT
cana-1221	56	17	research	research	NOUN
cana-1221	56	18	gap	gap	NOUN
cana-1221	56	19	identified	identify	VERB
cana-1221	56	20	from	from	ADP
cana-1221	56	21	that	that	DET
cana-1221	56	22	analysis	analysis	NOUN
cana-1221	56	23	,	,	PUNCT
cana-1221	56	24	and	and	CCONJ
cana-1221	56	25	dataset	dataset	ADJ
cana-1221	56	26	details	detail	NOUN
cana-1221	56	27	.	.	PUNCT
cana-1221	57	1	related	relate	VERB
cana-1221	57	2	works	work	VERB
cana-1221	57	3	the	the	DET
cana-1221	57	4	delineation	delineation	NOUN
cana-1221	57	5	of	of	ADP
cana-1221	57	6	potential	potential	ADJ
cana-1221	57	7	water	water	NOUN
cana-1221	57	8	zones	zone	NOUN
cana-1221	57	9	is	be	AUX
cana-1221	57	10	crucial	crucial	ADJ
cana-1221	57	11	for	for	ADP
cana-1221	57	12	managing	manage	VERB
cana-1221	57	13	freshwater	freshwater	NOUN
cana-1221	57	14	resources	resource	NOUN
cana-1221	57	15	,	,	PUNCT
cana-1221	57	16	especially	especially	ADV
cana-1221	57	17	in	in	ADP
cana-1221	57	18	arid	arid	NOUN
cana-1221	57	19	and	and	CCONJ
cana-1221	57	20	semi	semi	ADJ
cana-1221	57	21	-	-	ADJ
cana-1221	57	22	arid	arid	ADJ
cana-1221	57	23	regions	region	NOUN
cana-1221	57	24	.	.	PUNCT
cana-1221	58	1	a	a	DET
cana-1221	58	2	study	study	NOUN
cana-1221	58	3	focused	focus	VERB
cana-1221	58	4	on	on	ADP
cana-1221	58	5	saveh	saveh	PROPN
cana-1221	58	6	city	city	NOUN
cana-1221	58	7	in	in	ADP
cana-1221	58	8	iran	iran	PROPN
cana-1221	58	9	utilized	utilize	VERB
cana-1221	58	10	hybrid	hybrid	ADJ
cana-1221	58	11	deep	deep	ADJ
cana-1221	58	12	learning	learning	NOUN
cana-1221	58	13	and	and	CCONJ
cana-1221	58	14	machine	machine	NOUN
cana-1221	58	15	learning	learning	NOUN
cana-1221	58	16	algorithms	algorithm	NOUN
cana-1221	58	17	,	,	PUNCT
cana-1221	58	18	including	include	VERB
cana-1221	58	19	boosted	boost	VERB
cana-1221	58	20	tree	tree	NOUN
cana-1221	58	21	(	(	PUNCT
cana-1221	58	22	bt	bt	NOUN
cana-1221	58	23	)	)	PUNCT
cana-1221	58	24	,	,	PUNCT
cana-1221	58	25	artificial	artificial	ADJ
cana-1221	58	26	neural	neural	ADJ
cana-1221	58	27	network	network	NOUN
cana-1221	58	28	(	(	PUNCT
cana-1221	58	29	ann	ann	PROPN
cana-1221	58	30	)	)	PUNCT
cana-1221	58	31	,	,	PUNCT
cana-1221	58	32	and	and	CCONJ
cana-1221	58	33	deep	deep	ADJ
cana-1221	58	34	learning	learn	VERB
cana-1221	58	35	tree	tree	NOUN
cana-1221	58	36	(	(	PUNCT
cana-1221	58	37	dlt	dlt	PROPN
cana-1221	58	38	)	)	PUNCT
cana-1221	58	39	.	.	PUNCT
cana-1221	59	1	fourteen	fourteen	NUM
cana-1221	59	2	water	water	NOUN
cana-1221	59	3	potential	potential	ADJ
cana-1221	59	4	conditioning	conditioning	NOUN
cana-1221	59	5	factors	factor	NOUN
cana-1221	59	6	were	be	AUX
cana-1221	59	7	considered	consider	VERB
cana-1221	59	8	,	,	PUNCT
cana-1221	59	9	and	and	CCONJ
cana-1221	59	10	the	the	DET
cana-1221	59	11	models	model	NOUN
cana-1221	59	12	were	be	AUX
cana-1221	59	13	validated	validate	VERB
cana-1221	59	14	using	use	VERB
cana-1221	59	15	statistical	statistical	ADJ
cana-1221	59	16	analyses	analysis	NOUN
cana-1221	59	17	.	.	PUNCT
cana-1221	60	1	the	the	DET
cana-1221	60	2	results	result	NOUN
cana-1221	60	3	demonstrated	demonstrate	VERB
cana-1221	60	4	the	the	DET
cana-1221	60	5	effectiveness	effectiveness	NOUN
cana-1221	60	6	of	of	ADP
cana-1221	60	7	the	the	DET
cana-1221	60	8	models	model	NOUN
cana-1221	60	9	,	,	PUNCT
cana-1221	60	10	with	with	ADP
cana-1221	60	11	the	the	DET
cana-1221	60	12	deep	deep	ADJ
cana-1221	60	13	boost	boost	NOUN
cana-1221	60	14	(	(	PUNCT
cana-1221	60	15	db	db	NOUN
cana-1221	60	16	)	)	PUNCT
cana-1221	60	17	model	model	NOUN
cana-1221	60	18	exhibiting	exhibit	VERB
cana-1221	60	19	superior	superior	ADJ
cana-1221	60	20	performance	performance	NOUN
cana-1221	60	21	.	.	PUNCT
cana-1221	61	1	altitude	altitude	NOUN
cana-1221	61	2	,	,	PUNCT
cana-1221	61	3	rainfall	rainfall	NOUN
cana-1221	61	4	,	,	PUNCT
cana-1221	61	5	distance	distance	NOUN
cana-1221	61	6	to	to	PART
cana-1221	61	7	fault	fault	VERB
cana-1221	61	8	,	,	PUNCT
cana-1221	61	9	and	and	CCONJ
cana-1221	61	10	soil	soil	NOUN
cana-1221	61	11	types	type	NOUN
cana-1221	61	12	emerged	emerge	VERB
cana-1221	61	13	as	as	ADP
cana-1221	61	14	critical	critical	ADJ
cana-1221	61	15	factors	factor	NOUN
cana-1221	61	16	for	for	ADP
cana-1221	61	17	water	water	NOUN
cana-1221	61	18	potential	potential	ADJ
cana-1221	61	19	modeling	modeling	NOUN
cana-1221	61	20	.	.	PUNCT
cana-1221	62	1	the	the	DET
cana-1221	62	2	study	study	NOUN
cana-1221	62	3	recommends	recommend	VERB
cana-1221	62	4	the	the	DET
cana-1221	62	5	use	use	NOUN
cana-1221	62	6	of	of	ADP
cana-1221	62	7	the	the	DET
cana-1221	62	8	deep	deep	ADJ
cana-1221	62	9	boost	boost	NOUN
cana-1221	62	10	model	model	NOUN
cana-1221	62	11	for	for	ADP
cana-1221	62	12	its	its	PRON
cana-1221	62	13	superior	superior	ADJ
cana-1221	62	14	results	result	NOUN
cana-1221	62	15	in	in	ADP
cana-1221	62	16	water	water	NOUN
cana-1221	62	17	potential	potential	ADJ
cana-1221	62	18	mapping	mapping	NOUN
cana-1221	62	19	[	[	X
cana-1221	62	20	13	13	NUM
cana-1221	62	21	]	]	PUNCT
cana-1221	62	22	.	.	PUNCT
cana-1221	63	1	the	the	DET
cana-1221	63	2	increased	increase	VERB
cana-1221	63	3	demand	demand	NOUN
cana-1221	63	4	for	for	ADP
cana-1221	63	5	freshwater	freshwater	NOUN
cana-1221	63	6	resources	resource	NOUN
cana-1221	63	7	due	due	ADP
cana-1221	63	8	to	to	ADP
cana-1221	63	9	population	population	NOUN
cana-1221	63	10	growth	growth	NOUN
cana-1221	63	11	necessitates	necessitate	VERB
cana-1221	63	12	optimal	optimal	ADJ
cana-1221	63	13	management	management	NOUN
cana-1221	63	14	of	of	ADP
cana-1221	63	15	water	water	NOUN
cana-1221	63	16	storage	storage	NOUN
cana-1221	63	17	.	.	PUNCT
cana-1221	64	1	a	a	DET
cana-1221	64	2	study	study	NOUN
cana-1221	64	3	in	in	ADP
cana-1221	64	4	the	the	DET
cana-1221	64	5	gandheswari	gandheswari	PROPN
cana-1221	64	6	river	river	PROPN
cana-1221	64	7	basin	basin	NOUN
cana-1221	64	8	in	in	ADP
cana-1221	64	9	india	india	PROPN
cana-1221	64	10	employed	employ	VERB
cana-1221	64	11	analytical	analytical	ADJ
cana-1221	64	12	hierarchy	hierarchy	NOUN
cana-1221	64	13	process	process	NOUN
cana-1221	64	14	(	(	PUNCT
cana-1221	64	15	ahp	ahp	NOUN
cana-1221	64	16	)	)	PUNCT
cana-1221	64	17	,	,	PUNCT
cana-1221	64	18	frequency	frequency	NOUN
cana-1221	64	19	ratio	ratio	NOUN
cana-1221	64	20	(	(	PUNCT
cana-1221	64	21	fr	fr	PROPN
cana-1221	64	22	)	)	PUNCT
cana-1221	64	23	,	,	PUNCT
cana-1221	64	24	and	and	CCONJ
cana-1221	64	25	machine	machine	NOUN
cana-1221	64	26	learning	learn	VERB
cana-1221	64	27	techniques	technique	NOUN
cana-1221	64	28	(	(	PUNCT
cana-1221	64	29	random	random	ADJ
cana-1221	64	30	forest	forest	NOUN
cana-1221	64	31	and	and	CCONJ
cana-1221	64	32	naïve	naïve	ADJ
cana-1221	64	33	bayes	baye	NOUN
cana-1221	64	34	)	)	PUNCT
cana-1221	64	35	to	to	PART
cana-1221	64	36	delineate	delineate	VERB
cana-1221	64	37	water	water	NOUN
cana-1221	64	38	potential	potential	ADJ
cana-1221	64	39	zones	zone	NOUN
cana-1221	64	40	.	.	PUNCT
cana-1221	65	1	twelve	twelve	NUM
cana-1221	65	2	influencing	influence	VERB
cana-1221	65	3	factors	factor	NOUN
cana-1221	65	4	were	be	AUX
cana-1221	65	5	considered	consider	VERB
cana-1221	65	6	,	,	PUNCT
cana-1221	65	7	and	and	CCONJ
cana-1221	65	8	communications	communication	NOUN
cana-1221	65	9	on	on	ADP
cana-1221	65	10	applied	apply	VERB
cana-1221	65	11	nonlinear	nonlinear	ADJ
cana-1221	65	12	analysis	analysis	NOUN
cana-1221	65	13	issn	issn	NOUN
cana-1221	65	14	:	:	PUNCT
cana-1221	65	15	1074	1074	NUM
cana-1221	65	16	-	-	PUNCT
cana-1221	65	17	133x	133x	NUM
cana-1221	65	18	vol	vol	NOUN
cana-1221	65	19	31	31	NUM
cana-1221	65	20	no	no	NOUN
cana-1221	65	21	.	.	PUNCT
cana-1221	66	1	6s	6s	NUM
cana-1221	66	2	(	(	PUNCT
cana-1221	66	3	2024	2024	NUM
cana-1221	66	4	)	)	PUNCT
cana-1221	66	5	271	271	NUM
cana-1221	66	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1221	66	7	the	the	DET
cana-1221	66	8	models	model	NOUN
cana-1221	66	9	accurately	accurately	ADV
cana-1221	66	10	identified	identify	VERB
cana-1221	66	11	five	five	NUM
cana-1221	66	12	water	water	NOUN
cana-1221	66	13	potential	potential	ADJ
cana-1221	66	14	zones	zone	NOUN
cana-1221	66	15	.	.	PUNCT
cana-1221	67	1	geomorphology	geomorphology	NOUN
cana-1221	67	2	,	,	PUNCT
cana-1221	67	3	slope	slope	NOUN
cana-1221	67	4	,	,	PUNCT
cana-1221	67	5	rainfall	rainfall	NOUN
cana-1221	67	6	,	,	PUNCT
cana-1221	67	7	and	and	CCONJ
cana-1221	67	8	elevation	elevation	NOUN
cana-1221	67	9	were	be	AUX
cana-1221	67	10	identified	identify	VERB
cana-1221	67	11	as	as	ADP
cana-1221	67	12	crucial	crucial	ADJ
cana-1221	67	13	factors	factor	NOUN
cana-1221	67	14	influencing	influence	VERB
cana-1221	67	15	water	water	NOUN
cana-1221	67	16	potential	potential	NOUN
cana-1221	67	17	.	.	PUNCT
cana-1221	68	1	the	the	DET
cana-1221	68	2	study	study	NOUN
cana-1221	68	3	's	's	PART
cana-1221	68	4	results	result	NOUN
cana-1221	68	5	,	,	PUNCT
cana-1221	68	6	evaluated	evaluate	VERB
cana-1221	68	7	using	use	VERB
cana-1221	68	8	various	various	ADJ
cana-1221	68	9	metrics	metric	NOUN
cana-1221	68	10	,	,	PUNCT
cana-1221	68	11	highlight	highlight	VERB
cana-1221	68	12	the	the	DET
cana-1221	68	13	effectiveness	effectiveness	NOUN
cana-1221	68	14	of	of	ADP
cana-1221	68	15	machine	machine	NOUN
cana-1221	68	16	learning	learn	VERB
cana-1221	68	17	techniques	technique	NOUN
cana-1221	68	18	coupled	couple	VERB
cana-1221	68	19	with	with	ADP
cana-1221	68	20	ahp	ahp	NOUN
cana-1221	68	21	and	and	CCONJ
cana-1221	68	22	fr	fr	NOUN
cana-1221	68	23	for	for	ADP
cana-1221	68	24	delineating	delineate	VERB
cana-1221	68	25	regional	regional	ADJ
cana-1221	68	26	water	water	NOUN
cana-1221	68	27	potential	potential	ADJ
cana-1221	68	28	areas	area	NOUN
cana-1221	68	29	[	[	X
cana-1221	68	30	14	14	NUM
cana-1221	68	31	]	]	PUNCT
cana-1221	68	32	.	.	PUNCT
cana-1221	69	1	in	in	ADP
cana-1221	69	2	regions	region	NOUN
cana-1221	69	3	like	like	ADP
cana-1221	69	4	quetta	quetta	PROPN
cana-1221	69	5	valley	valley	NOUN
cana-1221	69	6	in	in	ADP
cana-1221	69	7	pakistan	pakistan	PROPN
cana-1221	69	8	,	,	PUNCT
cana-1221	69	9	where	where	SCONJ
cana-1221	69	10	water	water	NOUN
cana-1221	69	11	potential	potential	ADJ
cana-1221	69	12	zoning	zoning	NOUN
cana-1221	69	13	is	be	AUX
cana-1221	69	14	lacking	lack	VERB
cana-1221	69	15	,	,	PUNCT
cana-1221	69	16	this	this	DET
cana-1221	69	17	study	study	NOUN
cana-1221	69	18	used	use	VERB
cana-1221	69	19	six	six	NUM
cana-1221	69	20	machine	machine	NOUN
cana-1221	69	21	learning	learn	VERB
cana-1221	69	22	algorithms	algorithm	NOUN
cana-1221	69	23	to	to	PART
cana-1221	69	24	evaluate	evaluate	VERB
cana-1221	69	25	16	16	NUM
cana-1221	69	26	water	water	NOUN
cana-1221	69	27	drive	drive	NOUN
cana-1221	69	28	factors	factor	NOUN
cana-1221	69	29	.	.	PUNCT
cana-1221	70	1	the	the	DET
cana-1221	70	2	models	model	NOUN
cana-1221	70	3	,	,	PUNCT
cana-1221	70	4	including	include	VERB
cana-1221	70	5	artificial	artificial	ADJ
cana-1221	70	6	neural	neural	ADJ
cana-1221	70	7	networks	network	NOUN
cana-1221	70	8	(	(	PUNCT
cana-1221	70	9	ann	ann	PROPN
cana-1221	70	10	)	)	PUNCT
cana-1221	70	11	,	,	PUNCT
cana-1221	70	12	random	random	ADJ
cana-1221	70	13	forest	forest	NOUN
cana-1221	70	14	(	(	PUNCT
cana-1221	70	15	rf	rf	NOUN
cana-1221	70	16	)	)	PUNCT
cana-1221	70	17	,	,	PUNCT
cana-1221	70	18	and	and	CCONJ
cana-1221	70	19	extreme	extreme	ADJ
cana-1221	70	20	gradient	gradient	NOUN
cana-1221	70	21	boosting	boost	VERB
cana-1221	70	22	(	(	PUNCT
cana-1221	70	23	xgboost	xgboost	ADV
cana-1221	70	24	)	)	PUNCT
cana-1221	70	25	,	,	PUNCT
cana-1221	70	26	were	be	AUX
cana-1221	70	27	trained	train	VERB
cana-1221	70	28	and	and	CCONJ
cana-1221	70	29	validated	validate	VERB
cana-1221	70	30	,	,	PUNCT
cana-1221	70	31	with	with	ADP
cana-1221	70	32	xgboost	xgboost	NUM
cana-1221	70	33	,	,	PUNCT
cana-1221	70	34	rf	rf	ADJ
cana-1221	70	35	,	,	PUNCT
cana-1221	70	36	and	and	CCONJ
cana-1221	70	37	ann	ann	PROPN
cana-1221	70	38	showing	show	VERB
cana-1221	70	39	high	high	ADJ
cana-1221	70	40	accuracy	accuracy	NOUN
cana-1221	70	41	.	.	PUNCT
cana-1221	71	1	the	the	DET
cana-1221	71	2	study	study	NOUN
cana-1221	71	3	emphasizes	emphasize	VERB
cana-1221	71	4	the	the	DET
cana-1221	71	5	importance	importance	NOUN
cana-1221	71	6	of	of	ADP
cana-1221	71	7	water	water	NOUN
cana-1221	71	8	potential	potential	NOUN
cana-1221	71	9	for	for	ADP
cana-1221	71	10	sustainable	sustainable	ADJ
cana-1221	71	11	growth	growth	NOUN
cana-1221	71	12	and	and	CCONJ
cana-1221	71	13	recommends	recommend	VERB
cana-1221	71	14	machine	machine	NOUN
cana-1221	71	15	learning	learn	VERB
cana-1221	71	16	algorithms	algorithm	NOUN
cana-1221	71	17	for	for	ADP
cana-1221	71	18	accurate	accurate	ADJ
cana-1221	71	19	water	water	NOUN
cana-1221	71	20	productivity	productivity	NOUN
cana-1221	71	21	potential	potential	NOUN
cana-1221	71	22	(	(	PUNCT
cana-1221	71	23	gwpp	gwpp	ADJ
cana-1221	71	24	)	)	PUNCT
cana-1221	71	25	mapping	mapping	NOUN
cana-1221	71	26	.	.	PUNCT
cana-1221	72	1	the	the	DET
cana-1221	72	2	results	result	NOUN
cana-1221	72	3	contribute	contribute	VERB
cana-1221	72	4	to	to	ADP
cana-1221	72	5	water	water	NOUN
cana-1221	72	6	management	management	NOUN
cana-1221	72	7	by	by	ADP
cana-1221	72	8	providing	provide	VERB
cana-1221	72	9	a	a	DET
cana-1221	72	10	basis	basis	NOUN
cana-1221	72	11	for	for	ADP
cana-1221	72	12	locating	locate	VERB
cana-1221	72	13	new	new	ADJ
cana-1221	72	14	water	water	NOUN
cana-1221	72	15	wells	well	NOUN
cana-1221	72	16	in	in	ADP
cana-1221	72	17	rocky	rocky	ADJ
cana-1221	72	18	terrain	terrain	NOUN
cana-1221	73	1	[	[	X
cana-1221	73	2	15	15	NUM
cana-1221	73	3	]	]	PUNCT
cana-1221	73	4	.	.	PUNCT
cana-1221	74	1	water	water	NOUN
cana-1221	74	2	level	level	NOUN
cana-1221	74	3	forecasting	forecasting	NOUN
cana-1221	74	4	is	be	AUX
cana-1221	74	5	vital	vital	ADJ
cana-1221	74	6	for	for	ADP
cana-1221	74	7	effective	effective	ADJ
cana-1221	74	8	water	water	NOUN
cana-1221	74	9	resource	resource	NOUN
cana-1221	74	10	planning	planning	NOUN
cana-1221	74	11	and	and	CCONJ
cana-1221	74	12	management	management	NOUN
cana-1221	74	13	.	.	PUNCT
cana-1221	75	1	a	a	DET
cana-1221	75	2	comprehensive	comprehensive	ADJ
cana-1221	75	3	review	review	NOUN
cana-1221	75	4	article	article	NOUN
cana-1221	75	5	spanning	span	VERB
cana-1221	75	6	from	from	ADP
cana-1221	75	7	2008	2008	NUM
cana-1221	75	8	to	to	ADP
cana-1221	75	9	2020	2020	NUM
cana-1221	75	10	discusses	discuss	VERB
cana-1221	75	11	the	the	DET
cana-1221	75	12	state	state	NOUN
cana-1221	75	13	-	-	PUNCT
cana-1221	75	14	of	of	ADP
cana-1221	75	15	-	-	PUNCT
cana-1221	75	16	the	the	DET
cana-1221	75	17	-	-	PUNCT
cana-1221	75	18	art	art	NOUN
cana-1221	75	19	machine	machine	NOUN
cana-1221	75	20	learning	learning	NOUN
cana-1221	75	21	models	model	NOUN
cana-1221	75	22	employed	employ	VERB
cana-1221	75	23	for	for	ADP
cana-1221	75	24	water	water	NOUN
cana-1221	75	25	level	level	NOUN
cana-1221	75	26	(	(	PUNCT
cana-1221	75	27	gwl	gwl	NOUN
cana-1221	75	28	)	)	PUNCT
cana-1221	75	29	modeling	modeling	NOUN
cana-1221	75	30	.	.	PUNCT
cana-1221	76	1	the	the	DET
cana-1221	76	2	review	review	NOUN
cana-1221	76	3	covers	cover	VERB
cana-1221	76	4	various	various	ADJ
cana-1221	76	5	ml	ml	NOUN
cana-1221	76	6	models	model	NOUN
cana-1221	76	7	,	,	PUNCT
cana-1221	76	8	data	datum	NOUN
cana-1221	76	9	spans	span	NOUN
cana-1221	76	10	,	,	PUNCT
cana-1221	76	11	input	input	NOUN
cana-1221	76	12	/	/	SYM
cana-1221	76	13	output	output	NOUN
cana-1221	76	14	parameters	parameter	NOUN
cana-1221	76	15	,	,	PUNCT
cana-1221	76	16	and	and	CCONJ
cana-1221	76	17	performance	performance	NOUN
cana-1221	76	18	criteria	criterion	NOUN
cana-1221	76	19	.	.	PUNCT
cana-1221	77	1	it	it	PRON
cana-1221	77	2	identifies	identify	VERB
cana-1221	77	3	milestones	milestone	NOUN
cana-1221	77	4	achieved	achieve	VERB
cana-1221	77	5	in	in	ADP
cana-1221	77	6	gwl	gwl	PROPN
cana-1221	77	7	prediction	prediction	NOUN
cana-1221	77	8	and	and	CCONJ
cana-1221	77	9	provides	provide	VERB
cana-1221	77	10	recommendations	recommendation	NOUN
cana-1221	77	11	for	for	ADP
cana-1221	77	12	future	future	ADJ
cana-1221	77	13	research	research	NOUN
cana-1221	77	14	directions	direction	NOUN
cana-1221	77	15	to	to	PART
cana-1221	77	16	enhance	enhance	VERB
cana-1221	77	17	accuracy	accuracy	NOUN
cana-1221	77	18	.	.	PUNCT
cana-1221	78	1	the	the	DET
cana-1221	78	2	article	article	NOUN
cana-1221	78	3	serves	serve	VERB
cana-1221	78	4	as	as	ADP
cana-1221	78	5	a	a	DET
cana-1221	78	6	valuable	valuable	ADJ
cana-1221	78	7	resource	resource	NOUN
cana-1221	78	8	for	for	ADP
cana-1221	78	9	scientists	scientist	NOUN
cana-1221	78	10	and	and	CCONJ
cana-1221	78	11	practitioners	practitioner	NOUN
cana-1221	78	12	in	in	ADP
cana-1221	78	13	hydrology	hydrology	NOUN
cana-1221	78	14	and	and	CCONJ
cana-1221	78	15	water	water	NOUN
cana-1221	78	16	resource	resource	NOUN
cana-1221	78	17	management	management	NOUN
cana-1221	78	18	[	[	X
cana-1221	78	19	16	16	NUM
cana-1221	78	20	]	]	PUNCT
cana-1221	78	21	.	.	PUNCT
cana-1221	79	1	quantifying	quantify	VERB
cana-1221	79	2	water	water	NOUN
cana-1221	79	3	recharge	recharge	NOUN
cana-1221	79	4	is	be	AUX
cana-1221	79	5	essential	essential	ADJ
cana-1221	79	6	for	for	ADP
cana-1221	79	7	sustainable	sustainable	ADJ
cana-1221	79	8	water	water	NOUN
cana-1221	79	9	resource	resource	NOUN
cana-1221	79	10	management	management	NOUN
cana-1221	79	11	.	.	PUNCT
cana-1221	80	1	a	a	DET
cana-1221	80	2	study	study	NOUN
cana-1221	80	3	on	on	ADP
cana-1221	80	4	creating	create	VERB
cana-1221	80	5	a	a	DET
cana-1221	80	6	high	high	ADJ
cana-1221	80	7	-	-	PUNCT
cana-1221	80	8	resolution	resolution	NOUN
cana-1221	80	9	dataset	dataset	NOUN
cana-1221	80	10	for	for	ADP
cana-1221	80	11	all	all	PRON
cana-1221	80	12	of	of	ADP
cana-1221	80	13	europe	europe	PROPN
cana-1221	80	14	utilized	utilize	VERB
cana-1221	80	15	machine	machine	NOUN
cana-1221	80	16	learning	learning	NOUN
cana-1221	80	17	,	,	PUNCT
cana-1221	80	18	including	include	VERB
cana-1221	80	19	the	the	DET
cana-1221	80	20	random	random	ADJ
cana-1221	80	21	forest	forest	NOUN
cana-1221	80	22	regressor	regressor	NOUN
cana-1221	80	23	,	,	PUNCT
cana-1221	80	24	to	to	PART
cana-1221	80	25	map	map	VERB
cana-1221	80	26	water	water	NOUN
cana-1221	80	27	recharge	recharge	NOUN
cana-1221	80	28	coefficients	coefficient	NOUN
cana-1221	80	29	.	.	PUNCT
cana-1221	81	1	the	the	DET
cana-1221	81	2	approach	approach	NOUN
cana-1221	81	3	involved	involve	VERB
cana-1221	81	4	merging	merge	VERB
cana-1221	81	5	satellite	satellite	NOUN
cana-1221	81	6	-	-	PUNCT
cana-1221	81	7	derived	derive	VERB
cana-1221	81	8	actual	actual	ADJ
cana-1221	81	9	evapotranspiration	evapotranspiration	NOUN
cana-1221	81	10	and	and	CCONJ
cana-1221	81	11	a	a	DET
cana-1221	81	12	machine	machine	NOUN
cana-1221	81	13	learning	learn	VERB
cana-1221	81	14	model	model	NOUN
cana-1221	81	15	for	for	ADP
cana-1221	81	16	estimating	estimate	VERB
cana-1221	81	17	recharge	recharge	NOUN
cana-1221	81	18	coefficients	coefficient	NOUN
cana-1221	81	19	.	.	PUNCT
cana-1221	82	1	the	the	DET
cana-1221	82	2	resulting	result	VERB
cana-1221	82	3	water	water	NOUN
cana-1221	82	4	recharge	recharge	NOUN
cana-1221	82	5	map	map	NOUN
cana-1221	82	6	provides	provide	VERB
cana-1221	82	7	harmonized	harmonized	ADJ
cana-1221	82	8	high	high	ADJ
cana-1221	82	9	-	-	PUNCT
cana-1221	82	10	resolution	resolution	NOUN
cana-1221	82	11	estimates	estimate	NOUN
cana-1221	82	12	across	across	ADP
cana-1221	82	13	europe	europe	PROPN
cana-1221	82	14	,	,	PUNCT
cana-1221	82	15	offering	offer	VERB
cana-1221	82	16	valuable	valuable	ADJ
cana-1221	82	17	information	information	NOUN
cana-1221	82	18	for	for	ADP
cana-1221	82	19	sustainable	sustainable	ADJ
cana-1221	82	20	water	water	NOUN
cana-1221	82	21	management	management	NOUN
cana-1221	82	22	.	.	PUNCT
cana-1221	83	1	the	the	DET
cana-1221	83	2	study	study	NOUN
cana-1221	83	3	's	's	PART
cana-1221	83	4	dataset	dataset	NOUN
cana-1221	83	5	is	be	AUX
cana-1221	83	6	available	available	ADJ
cana-1221	83	7	through	through	ADP
cana-1221	83	8	the	the	DET
cana-1221	83	9	eurogeosurveys	eurogeosurvey	NOUN
cana-1221	83	10	'	'	PART
cana-1221	83	11	open	open	ADJ
cana-1221	83	12	access	access	NOUN
cana-1221	83	13	european	european	ADJ
cana-1221	83	14	geological	geological	ADJ
cana-1221	83	15	data	data	NOUN
cana-1221	83	16	infrastructure	infrastructure	NOUN
cana-1221	83	17	(	(	PUNCT
cana-1221	83	18	egdi	egdi	PROPN
cana-1221	83	19	)	)	PUNCT
cana-1221	84	1	[	[	X
cana-1221	84	2	17	17	NUM
cana-1221	84	3	]	]	PUNCT
cana-1221	84	4	.	.	PUNCT
cana-1221	85	1	water	water	NOUN
cana-1221	85	2	potential	potential	NOUN
cana-1221	85	3	(	(	PUNCT
cana-1221	85	4	gwp	gwp	NOUN
cana-1221	85	5	)	)	PUNCT
cana-1221	85	6	identification	identification	NOUN
cana-1221	85	7	is	be	AUX
cana-1221	85	8	crucial	crucial	ADJ
cana-1221	85	9	for	for	ADP
cana-1221	85	10	sustainable	sustainable	ADJ
cana-1221	85	11	development	development	NOUN
cana-1221	85	12	in	in	ADP
cana-1221	85	13	arid	arid	NOUN
cana-1221	85	14	oasis	oasis	NOUN
cana-1221	85	15	areas	area	NOUN
cana-1221	85	16	.	.	PUNCT
cana-1221	86	1	a	a	DET
cana-1221	86	2	study	study	NOUN
cana-1221	86	3	applied	apply	VERB
cana-1221	86	4	ten	ten	NUM
cana-1221	86	5	algorithms	algorithm	NOUN
cana-1221	86	6	,	,	PUNCT
cana-1221	86	7	including	include	VERB
cana-1221	86	8	shallow	shallow	ADJ
cana-1221	86	9	and	and	CCONJ
cana-1221	86	10	hybrid	hybrid	NOUN
cana-1221	86	11	models	model	NOUN
cana-1221	86	12	,	,	PUNCT
cana-1221	86	13	to	to	PART
cana-1221	86	14	map	map	VERB
cana-1221	86	15	gwp	gwp	PROPN
cana-1221	86	16	.	.	PUNCT
cana-1221	87	1	the	the	DET
cana-1221	87	2	models	model	NOUN
cana-1221	87	3	,	,	PUNCT
cana-1221	87	4	such	such	ADJ
cana-1221	87	5	as	as	ADP
cana-1221	87	6	multilayer	multilayer	ADJ
cana-1221	87	7	perceptron	perceptron	PROPN
cana-1221	87	8	,	,	PUNCT
cana-1221	87	9	decision	decision	NOUN
cana-1221	87	10	tree	tree	NOUN
cana-1221	87	11	,	,	PUNCT
cana-1221	87	12	and	and	CCONJ
cana-1221	87	13	gradient	gradient	NOUN
cana-1221	87	14	boosting	boosting	NOUN
cana-1221	87	15	,	,	PUNCT
cana-1221	87	16	were	be	AUX
cana-1221	87	17	evaluated	evaluate	VERB
cana-1221	87	18	based	base	VERB
cana-1221	87	19	on	on	ADP
cana-1221	87	20	sensitivity	sensitivity	NOUN
cana-1221	87	21	,	,	PUNCT
cana-1221	87	22	specificity	specificity	NOUN
cana-1221	87	23	,	,	PUNCT
cana-1221	87	24	and	and	CCONJ
cana-1221	87	25	receiver	receiver	ADJ
cana-1221	87	26	operating	operate	VERB
cana-1221	87	27	characteristic	characteristic	NOUN
cana-1221	87	28	(	(	PUNCT
cana-1221	87	29	roc)-area	roc)-area	VERB
cana-1221	87	30	under	under	ADP
cana-1221	87	31	curve	curve	NOUN
cana-1221	87	32	(	(	PUNCT
cana-1221	87	33	auc	auc	NOUN
cana-1221	87	34	)	)	PUNCT
cana-1221	87	35	analysis	analysis	NOUN
cana-1221	87	36	.	.	PUNCT
cana-1221	88	1	the	the	DET
cana-1221	88	2	study	study	NOUN
cana-1221	88	3	highlights	highlight	VERB
cana-1221	88	4	the	the	DET
cana-1221	88	5	significance	significance	NOUN
cana-1221	88	6	of	of	ADP
cana-1221	88	7	the	the	DET
cana-1221	88	8	applied	apply	VERB
cana-1221	88	9	algorithms	algorithm	NOUN
cana-1221	88	10	in	in	ADP
cana-1221	88	11	decision	decision	NOUN
cana-1221	88	12	support	support	NOUN
cana-1221	88	13	for	for	ADP
cana-1221	88	14	sustainable	sustainable	ADJ
cana-1221	88	15	development	development	NOUN
cana-1221	88	16	in	in	ADP
cana-1221	88	17	oasis	oasis	NOUN
cana-1221	88	18	areas	area	NOUN
cana-1221	88	19	[	[	X
cana-1221	88	20	18	18	NUM
cana-1221	88	21	]	]	PUNCT
cana-1221	88	22	.	.	PUNCT
cana-1221	89	1	these	these	DET
cana-1221	89	2	studies	study	NOUN
cana-1221	89	3	collectively	collectively	ADV
cana-1221	89	4	emphasize	emphasize	VERB
cana-1221	89	5	the	the	DET
cana-1221	89	6	importance	importance	NOUN
cana-1221	89	7	of	of	ADP
cana-1221	89	8	advanced	advanced	ADJ
cana-1221	89	9	geospatial	geospatial	NOUN
cana-1221	89	10	and	and	CCONJ
cana-1221	89	11	machine	machine	NOUN
cana-1221	89	12	learning	learn	VERB
cana-1221	89	13	techniques	technique	NOUN
cana-1221	89	14	in	in	ADP
cana-1221	89	15	understanding	understanding	NOUN
cana-1221	89	16	,	,	PUNCT
cana-1221	89	17	managing	managing	NOUN
cana-1221	89	18	,	,	PUNCT
cana-1221	89	19	and	and	CCONJ
cana-1221	89	20	sustaining	sustain	VERB
cana-1221	89	21	water	water	NOUN
cana-1221	89	22	resources	resource	NOUN
cana-1221	89	23	in	in	ADP
cana-1221	89	24	the	the	DET
cana-1221	89	25	face	face	NOUN
cana-1221	89	26	of	of	ADP
cana-1221	89	27	climate	climate	NOUN
cana-1221	89	28	change	change	NOUN
cana-1221	89	29	and	and	CCONJ
cana-1221	89	30	increasing	increase	VERB
cana-1221	89	31	water	water	NOUN
cana-1221	89	32	demand	demand	NOUN
cana-1221	89	33	.	.	PUNCT
cana-1221	90	1	leveraging	leverage	VERB
cana-1221	90	2	these	these	DET
cana-1221	90	3	innovative	innovative	ADJ
cana-1221	90	4	approaches	approach	NOUN
cana-1221	90	5	is	be	AUX
cana-1221	90	6	crucial	crucial	ADJ
cana-1221	90	7	for	for	ADP
cana-1221	90	8	informed	informed	ADJ
cana-1221	90	9	decision	decision	NOUN
cana-1221	90	10	-	-	PUNCT
cana-1221	90	11	making	making	NOUN
cana-1221	90	12	and	and	CCONJ
cana-1221	90	13	effective	effective	ADJ
cana-1221	90	14	water	water	NOUN
cana-1221	90	15	resource	resource	NOUN
cana-1221	90	16	management	management	NOUN
cana-1221	90	17	in	in	ADP
cana-1221	90	18	diverse	diverse	ADJ
cana-1221	90	19	geographical	geographical	ADJ
cana-1221	90	20	contexts	contexts	NOUN
cana-1221	90	21	.	.	PUNCT
cana-1221	91	1	research	research	NOUN
cana-1221	91	2	gap	gap	NOUN
cana-1221	91	3	while	while	SCONJ
cana-1221	91	4	significant	significant	ADJ
cana-1221	91	5	progress	progress	NOUN
cana-1221	91	6	has	have	AUX
cana-1221	91	7	been	be	AUX
cana-1221	91	8	made	make	VERB
cana-1221	91	9	in	in	ADP
cana-1221	91	10	the	the	DET
cana-1221	91	11	areas	area	NOUN
cana-1221	91	12	of	of	ADP
cana-1221	91	13	machine	machine	NOUN
cana-1221	91	14	learning	learning	NOUN
cana-1221	91	15	,	,	PUNCT
cana-1221	91	16	mathematical	mathematical	ADJ
cana-1221	91	17	modelling	modelling	NOUN
cana-1221	91	18	,	,	PUNCT
cana-1221	91	19	and	and	CCONJ
cana-1221	91	20	geospatial	geospatial	ADJ
cana-1221	91	21	data	datum	NOUN
cana-1221	91	22	analysis	analysis	NOUN
cana-1221	91	23	for	for	ADP
cana-1221	91	24	water	water	NOUN
cana-1221	91	25	level	level	NOUN
cana-1221	91	26	prediction	prediction	NOUN
cana-1221	91	27	,	,	PUNCT
cana-1221	91	28	a	a	DET
cana-1221	91	29	number	number	NOUN
cana-1221	91	30	of	of	ADP
cana-1221	91	31	research	research	NOUN
cana-1221	91	32	gaps	gap	NOUN
cana-1221	91	33	still	still	ADV
cana-1221	91	34	exist	exist	VERB
cana-1221	91	35	.	.	PUNCT
cana-1221	92	1	among	among	ADP
cana-1221	92	2	these	these	PRON
cana-1221	92	3	are	be	AUX
cana-1221	92	4	the	the	DET
cana-1221	92	5	following	following	NOUN
cana-1221	92	6	:	:	PUNCT
cana-1221	92	7	a	a	DET
cana-1221	92	8	lack	lack	NOUN
cana-1221	92	9	of	of	ADP
cana-1221	92	10	cross	cross	ADJ
cana-1221	92	11	-	-	ADJ
cana-1221	92	12	disciplinary	disciplinary	ADJ
cana-1221	92	13	collaboration	collaboration	NOUN
cana-1221	92	14	;	;	PUNCT
cana-1221	92	15	a	a	DET
cana-1221	92	16	lack	lack	NOUN
cana-1221	92	17	of	of	ADP
cana-1221	92	18	rigorous	rigorous	ADJ
cana-1221	92	19	validation	validation	NOUN
cana-1221	92	20	processes	process	NOUN
cana-1221	92	21	;	;	PUNCT
cana-1221	92	22	an	an	DET
cana-1221	92	23	inadequate	inadequate	ADJ
cana-1221	92	24	consideration	consideration	NOUN
cana-1221	92	25	of	of	ADP
cana-1221	92	26	spatial	spatial	ADJ
cana-1221	92	27	and	and	CCONJ
cana-1221	92	28	temporal	temporal	ADJ
cana-1221	92	29	dynamics	dynamic	NOUN
cana-1221	92	30	on	on	ADP
cana-1221	92	31	a	a	DET
cana-1221	92	32	larger	large	ADJ
cana-1221	92	33	scale	scale	NOUN
cana-1221	92	34	;	;	PUNCT
cana-1221	92	35	an	an	DET
cana-1221	92	36	absence	absence	NOUN
cana-1221	92	37	communications	communication	NOUN
cana-1221	92	38	on	on	ADP
cana-1221	92	39	applied	apply	VERB
cana-1221	92	40	nonlinear	nonlinear	ADJ
cana-1221	92	41	analysis	analysis	NOUN
cana-1221	92	42	issn	issn	NOUN
cana-1221	92	43	:	:	PUNCT
cana-1221	92	44	1074	1074	NUM
cana-1221	92	45	-	-	PUNCT
cana-1221	92	46	133x	133x	NUM
cana-1221	92	47	vol	vol	NOUN
cana-1221	92	48	31	31	NUM
cana-1221	92	49	no	no	NOUN
cana-1221	92	50	.	.	PUNCT
cana-1221	93	1	6s	6s	NUM
cana-1221	93	2	(	(	PUNCT
cana-1221	93	3	2024	2024	NUM
cana-1221	93	4	)	)	PUNCT
cana-1221	93	5	272	272	NUM
cana-1221	93	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1221	93	7	of	of	ADP
cana-1221	93	8	standardised	standardised	ADJ
cana-1221	93	9	methodologies	methodology	NOUN
cana-1221	93	10	for	for	ADP
cana-1221	93	11	model	model	NOUN
cana-1221	93	12	evaluation	evaluation	NOUN
cana-1221	93	13	;	;	PUNCT
cana-1221	93	14	a	a	DET
cana-1221	93	15	research	research	NOUN
cana-1221	93	16	gap	gap	NOUN
cana-1221	93	17	in	in	ADP
cana-1221	93	18	the	the	DET
cana-1221	93	19	exploration	exploration	NOUN
cana-1221	93	20	of	of	ADP
cana-1221	93	21	diverse	diverse	ADJ
cana-1221	93	22	ensemble	ensemble	ADJ
cana-1221	93	23	methods	method	NOUN
cana-1221	93	24	;	;	PUNCT
cana-1221	93	25	an	an	DET
cana-1221	93	26	inadequate	inadequate	ADJ
cana-1221	93	27	attention	attention	NOUN
cana-1221	93	28	to	to	ADP
cana-1221	93	29	model	model	NOUN
cana-1221	93	30	explainability	explainability	NOUN
cana-1221	93	31	and	and	CCONJ
cana-1221	93	32	uncertainty	uncertainty	NOUN
cana-1221	93	33	;	;	PUNCT
cana-1221	93	34	and	and	CCONJ
cana-1221	93	35	a	a	DET
cana-1221	93	36	need	need	NOUN
cana-1221	93	37	for	for	ADP
cana-1221	93	38	real	real	ADJ
cana-1221	93	39	-	-	PUNCT
cana-1221	93	40	world	world	NOUN
cana-1221	93	41	application	application	NOUN
cana-1221	93	42	of	of	ADP
cana-1221	93	43	developed	develop	VERB
cana-1221	93	44	models	model	NOUN
cana-1221	93	45	.	.	PUNCT
cana-1221	94	1	closing	close	VERB
cana-1221	94	2	these	these	DET
cana-1221	94	3	gaps	gap	NOUN
cana-1221	94	4	will	will	AUX
cana-1221	94	5	improve	improve	VERB
cana-1221	94	6	water	water	NOUN
cana-1221	94	7	level	level	NOUN
cana-1221	94	8	prediction	prediction	NOUN
cana-1221	94	9	models	model	NOUN
cana-1221	94	10	'	'	PART
cana-1221	94	11	practicality	practicality	NOUN
cana-1221	94	12	,	,	PUNCT
cana-1221	94	13	accuracy	accuracy	NOUN
cana-1221	94	14	,	,	PUNCT
cana-1221	94	15	and	and	CCONJ
cana-1221	94	16	dependability	dependability	NOUN
cana-1221	94	17	,	,	PUNCT
cana-1221	94	18	which	which	PRON
cana-1221	94	19	will	will	AUX
cana-1221	94	20	ultimately	ultimately	ADV
cana-1221	94	21	lead	lead	VERB
cana-1221	94	22	to	to	ADP
cana-1221	94	23	more	more	ADV
cana-1221	94	24	sustainable	sustainable	ADJ
cana-1221	94	25	and	and	CCONJ
cana-1221	94	26	successful	successful	ADJ
cana-1221	94	27	water	water	NOUN
cana-1221	94	28	resource	resource	NOUN
cana-1221	94	29	management	management	NOUN
cana-1221	94	30	in	in	ADP
cana-1221	94	31	the	the	DET
cana-1221	94	32	face	face	NOUN
cana-1221	94	33	of	of	ADP
cana-1221	94	34	environmental	environmental	ADJ
cana-1221	94	35	change	change	NOUN
cana-1221	94	36	.	.	PUNCT
cana-1221	95	1	dataset	dataset	NOUN
cana-1221	95	2	details	detail	NOUN
cana-1221	95	3	the	the	DET
cana-1221	95	4	eurosat	eurosat	NOUN
cana-1221	95	5	dataset	dataset	VERB
cana-1221	95	6	is	be	AUX
cana-1221	95	7	a	a	DET
cana-1221	95	8	widely	widely	ADV
cana-1221	95	9	used	use	VERB
cana-1221	95	10	benchmark	benchmark	NOUN
cana-1221	95	11	in	in	ADP
cana-1221	95	12	the	the	DET
cana-1221	95	13	field	field	NOUN
cana-1221	95	14	of	of	ADP
cana-1221	95	15	remote	remote	ADJ
cana-1221	95	16	sensing	sensing	NOUN
cana-1221	95	17	and	and	CCONJ
cana-1221	95	18	machine	machine	NOUN
cana-1221	95	19	learning	learning	NOUN
cana-1221	95	20	,	,	PUNCT
cana-1221	95	21	specifically	specifically	ADV
cana-1221	95	22	designed	design	VERB
cana-1221	95	23	for	for	ADP
cana-1221	95	24	land	land	NOUN
cana-1221	95	25	use	use	NOUN
cana-1221	95	26	and	and	CCONJ
cana-1221	95	27	land	land	NOUN
cana-1221	95	28	cover	cover	NOUN
cana-1221	95	29	classification	classification	NOUN
cana-1221	95	30	using	use	VERB
cana-1221	95	31	satellite	satellite	NOUN
cana-1221	95	32	imagery	imagery	NOUN
cana-1221	95	33	.	.	PUNCT
cana-1221	96	1	comprising	comprise	VERB
cana-1221	96	2	27,000	27,000	NUM
cana-1221	96	3	labeled	label	VERB
cana-1221	96	4	sentinel-2	sentinel-2	NUM
cana-1221	96	5	satellite	satellite	NOUN
cana-1221	96	6	images	image	NOUN
cana-1221	96	7	,	,	PUNCT
cana-1221	96	8	the	the	DET
cana-1221	96	9	dataset	dataset	NOUN
cana-1221	96	10	covers	cover	VERB
cana-1221	96	11	13	13	NUM
cana-1221	96	12	different	different	ADJ
cana-1221	96	13	land	land	NOUN
cana-1221	96	14	use	use	NOUN
cana-1221	96	15	and	and	CCONJ
cana-1221	96	16	land	land	NOUN
cana-1221	96	17	cover	cover	NOUN
cana-1221	96	18	classes	class	NOUN
cana-1221	96	19	across	across	ADP
cana-1221	96	20	europe	europe	PROPN
cana-1221	96	21	.	.	PUNCT
cana-1221	97	1	these	these	DET
cana-1221	97	2	classes	class	NOUN
cana-1221	97	3	encompass	encompass	VERB
cana-1221	97	4	diverse	diverse	ADJ
cana-1221	97	5	landscapes	landscape	NOUN
cana-1221	97	6	,	,	PUNCT
cana-1221	97	7	including	include	VERB
cana-1221	97	8	urban	urban	ADJ
cana-1221	97	9	areas	area	NOUN
cana-1221	97	10	,	,	PUNCT
cana-1221	97	11	farmland	farmland	NOUN
cana-1221	97	12	,	,	PUNCT
cana-1221	97	13	forests	forest	NOUN
cana-1221	97	14	,	,	PUNCT
cana-1221	97	15	and	and	CCONJ
cana-1221	97	16	water	water	NOUN
cana-1221	97	17	bodies	body	NOUN
cana-1221	97	18	.	.	PUNCT
cana-1221	98	1	researchers	researcher	NOUN
cana-1221	98	2	and	and	CCONJ
cana-1221	98	3	data	datum	NOUN
cana-1221	98	4	scientists	scientist	NOUN
cana-1221	98	5	leverage	leverage	VERB
cana-1221	98	6	the	the	DET
cana-1221	98	7	eurosat	eurosat	NOUN
cana-1221	98	8	dataset	dataset	VERB
cana-1221	98	9	to	to	PART
cana-1221	98	10	train	train	VERB
cana-1221	98	11	and	and	CCONJ
cana-1221	98	12	evaluate	evaluate	VERB
cana-1221	98	13	machine	machine	NOUN
cana-1221	98	14	learning	learning	NOUN
cana-1221	98	15	models	model	NOUN
cana-1221	98	16	,	,	PUNCT
cana-1221	98	17	aiming	aim	VERB
cana-1221	98	18	to	to	PART
cana-1221	98	19	develop	develop	VERB
cana-1221	98	20	algorithms	algorithm	NOUN
cana-1221	98	21	capable	capable	ADJ
cana-1221	98	22	of	of	ADP
cana-1221	98	23	automatically	automatically	ADV
cana-1221	98	24	discerning	discern	VERB
cana-1221	98	25	and	and	CCONJ
cana-1221	98	26	categorizing	categorize	VERB
cana-1221	98	27	various	various	ADJ
cana-1221	98	28	land	land	NOUN
cana-1221	98	29	cover	cover	NOUN
cana-1221	98	30	types	type	NOUN
cana-1221	98	31	from	from	ADP
cana-1221	98	32	high	high	ADJ
cana-1221	98	33	-	-	PUNCT
cana-1221	98	34	resolution	resolution	NOUN
cana-1221	98	35	satellite	satellite	NOUN
cana-1221	98	36	imagery	imagery	NOUN
cana-1221	98	37	.	.	PUNCT
cana-1221	99	1	the	the	DET
cana-1221	99	2	dataset	dataset	NOUN
cana-1221	99	3	plays	play	VERB
cana-1221	99	4	a	a	DET
cana-1221	99	5	crucial	crucial	ADJ
cana-1221	99	6	role	role	NOUN
cana-1221	99	7	in	in	ADP
cana-1221	99	8	advancing	advance	VERB
cana-1221	99	9	the	the	DET
cana-1221	99	10	capabilities	capability	NOUN
cana-1221	99	11	of	of	ADP
cana-1221	99	12	algorithms	algorithm	NOUN
cana-1221	99	13	for	for	ADP
cana-1221	99	14	accurate	accurate	ADJ
cana-1221	99	15	land	land	NOUN
cana-1221	99	16	cover	cover	NOUN
cana-1221	99	17	classification	classification	NOUN
cana-1221	99	18	,	,	PUNCT
cana-1221	99	19	which	which	PRON
cana-1221	99	20	is	be	AUX
cana-1221	99	21	essential	essential	ADJ
cana-1221	99	22	for	for	ADP
cana-1221	99	23	applications	application	NOUN
cana-1221	99	24	such	such	ADJ
cana-1221	99	25	as	as	ADP
cana-1221	99	26	environmental	environmental	ADJ
cana-1221	99	27	monitoring	monitoring	NOUN
cana-1221	99	28	,	,	PUNCT
cana-1221	99	29	urban	urban	ADJ
cana-1221	99	30	planning	planning	NOUN
cana-1221	99	31	,	,	PUNCT
cana-1221	99	32	and	and	CCONJ
cana-1221	99	33	resource	resource	NOUN
cana-1221	99	34	management	management	NOUN
cana-1221	99	35	[	[	X
cana-1221	99	36	19	19	NUM
cana-1221	99	37	]	]	PUNCT
cana-1221	99	38	.	.	PUNCT
cana-1221	100	1	the	the	DET
cana-1221	100	2	sample	sample	NOUN
cana-1221	100	3	input	input	NOUN
cana-1221	100	4	image	image	NOUN
cana-1221	100	5	is	be	AUX
cana-1221	100	6	given	give	VERB
cana-1221	100	7	in	in	ADP
cana-1221	100	8	figure	figure	NOUN
cana-1221	100	9	1	1	NUM
cana-1221	100	10	.	.	PUNCT
cana-1221	100	11	annual	annual	ADJ
cana-1221	100	12	crop	crop	NOUN
cana-1221	100	13	forest	forest	NOUN
cana-1221	100	14	herbaceousvegetatio	herbaceousvegetatio	NOUN
cana-1221	100	15	n	n	PRON
cana-1221	100	16	highway	highway	NOUN
cana-1221	100	17	industry	industry	NOUN
cana-1221	100	18	pasture	pasture	NOUN
cana-1221	100	19	permanentcrop	permanentcrop	NOUN
cana-1221	100	20	residential	residential	ADJ
cana-1221	100	21	river	river	NOUN
cana-1221	100	22	sealake	sealake	NOUN
cana-1221	100	23	figure	figure	NOUN
cana-1221	100	24	1	1	NUM
cana-1221	100	25	.	.	PUNCT
cana-1221	100	26	images	image	NOUN
cana-1221	100	27	used	use	VERB
cana-1221	100	28	in	in	ADP
cana-1221	100	29	water	water	NOUN
cana-1221	100	30	mapping	mapping	NOUN
cana-1221	100	31	3	3	NUM
cana-1221	100	32	.	.	PUNCT
cana-1221	100	33	methodology	methodology	NOUN
cana-1221	100	34	combining	combine	VERB
cana-1221	100	35	the	the	DET
cana-1221	100	36	advantages	advantage	NOUN
cana-1221	100	37	of	of	ADP
cana-1221	100	38	several	several	ADJ
cana-1221	100	39	algorithms	algorithm	NOUN
cana-1221	100	40	,	,	PUNCT
cana-1221	100	41	including	include	VERB
cana-1221	100	42	principal	principal	ADJ
cana-1221	100	43	component	component	NOUN
cana-1221	100	44	analysis	analysis	NOUN
cana-1221	100	45	(	(	PUNCT
cana-1221	100	46	pca	pca	NOUN
cana-1221	100	47	)	)	PUNCT
cana-1221	100	48	,	,	PUNCT
cana-1221	100	49	genetic	genetic	ADJ
cana-1221	100	50	algorithm	algorithm	NOUN
cana-1221	100	51	(	(	PUNCT
cana-1221	100	52	ga	ga	PROPN
cana-1221	100	53	)	)	PUNCT
cana-1221	100	54	,	,	PUNCT
cana-1221	100	55	gradient	gradient	NOUN
cana-1221	100	56	boosted	boost	VERB
cana-1221	100	57	decision	decision	NOUN
cana-1221	100	58	trees	tree	NOUN
cana-1221	100	59	(	(	PUNCT
cana-1221	100	60	gbdt	gbdt	PROPN
cana-1221	100	61	)	)	PUNCT
cana-1221	100	62	,	,	PUNCT
cana-1221	100	63	frequency	frequency	NOUN
cana-1221	100	64	ratio	ratio	NOUN
cana-1221	100	65	(	(	PUNCT
cana-1221	100	66	fr	fr	PROPN
cana-1221	100	67	)	)	PUNCT
cana-1221	100	68	,	,	PUNCT
cana-1221	100	69	deep	deep	ADJ
cana-1221	100	70	neural	neural	ADJ
cana-1221	100	71	network	network	NOUN
cana-1221	100	72	(	(	PUNCT
cana-1221	100	73	dnn	dnn	PROPN
cana-1221	100	74	)	)	PUNCT
cana-1221	100	75	and	and	CCONJ
cana-1221	100	76	shannon	shannon	PROPN
cana-1221	100	77	's	's	PART
cana-1221	100	78	entropy	entropy	NOUN
cana-1221	100	79	(	(	PUNCT
cana-1221	100	80	se	se	X
cana-1221	100	81	)	)	PUNCT
cana-1221	100	82	,	,	PUNCT
cana-1221	100	83	is	be	AUX
cana-1221	100	84	necessary	necessary	ADJ
cana-1221	100	85	to	to	PART
cana-1221	100	86	map	map	VERB
cana-1221	100	87	water	water	NOUN
cana-1221	100	88	prospective	prospective	ADJ
cana-1221	100	89	areas	area	NOUN
cana-1221	100	90	using	use	VERB
cana-1221	100	91	a	a	DET
cana-1221	100	92	data	data	NOUN
cana-1221	100	93	-	-	PUNCT
cana-1221	100	94	driven	drive	VERB
cana-1221	100	95	ensemble	ensemble	ADJ
cana-1221	100	96	model	model	NOUN
cana-1221	100	97	.	.	PUNCT
cana-1221	101	1	in	in	ADP
cana-1221	101	2	the	the	DET
cana-1221	101	3	context	context	NOUN
cana-1221	101	4	of	of	ADP
cana-1221	101	5	water	water	NOUN
cana-1221	101	6	mapping	mapping	NOUN
cana-1221	101	7	for	for	ADP
cana-1221	101	8	environmental	environmental	ADJ
cana-1221	101	9	sustainability	sustainability	NOUN
cana-1221	101	10	,	,	PUNCT
cana-1221	101	11	a	a	DET
cana-1221	101	12	comprehensive	comprehensive	ADJ
cana-1221	101	13	ensemble	ensemble	ADJ
cana-1221	101	14	model	model	NOUN
cana-1221	101	15	is	be	AUX
cana-1221	101	16	devised	devise	VERB
cana-1221	101	17	by	by	ADP
cana-1221	101	18	amalgamating	amalgamate	VERB
cana-1221	101	19	the	the	DET
cana-1221	101	20	capabilities	capability	NOUN
cana-1221	101	21	of	of	ADP
cana-1221	101	22	principal	principal	ADJ
cana-1221	101	23	component	component	NOUN
cana-1221	101	24	analysis	analysis	NOUN
cana-1221	101	25	(	(	PUNCT
cana-1221	101	26	pca	pca	NOUN
cana-1221	101	27	)	)	PUNCT
cana-1221	101	28	,	,	PUNCT
cana-1221	101	29	genetic	genetic	ADJ
cana-1221	101	30	algorithm	algorithm	NOUN
cana-1221	101	31	(	(	PUNCT
cana-1221	101	32	ga	ga	PROPN
cana-1221	101	33	)	)	PUNCT
cana-1221	101	34	,	,	PUNCT
cana-1221	101	35	gradient	gradient	NOUN
cana-1221	101	36	boosted	boost	VERB
cana-1221	101	37	decision	decision	NOUN
cana-1221	101	38	trees	tree	NOUN
cana-1221	101	39	(	(	PUNCT
cana-1221	101	40	gbdt	gbdt	PROPN
cana-1221	101	41	)	)	PUNCT
cana-1221	101	42	,	,	PUNCT
cana-1221	101	43	frequency	frequency	NOUN
cana-1221	101	44	ratio	ratio	NOUN
cana-1221	101	45	(	(	PUNCT
cana-1221	101	46	fr	fr	PROPN
cana-1221	101	47	)	)	PUNCT
cana-1221	101	48	,	,	PUNCT
cana-1221	101	49	deep	deep	ADJ
cana-1221	101	50	neural	neural	ADJ
cana-1221	101	51	network	network	NOUN
cana-1221	101	52	(	(	PUNCT
cana-1221	101	53	dnn	dnn	PROPN
cana-1221	101	54	)	)	PUNCT
cana-1221	101	55	,	,	PUNCT
cana-1221	101	56	and	and	CCONJ
cana-1221	101	57	shannon	shannon	PROPN
cana-1221	101	58	's	's	PART
cana-1221	101	59	entropy	entropy	NOUN
cana-1221	101	60	(	(	PUNCT
cana-1221	101	61	se	se	ADJ
cana-1221	101	62	)	)	PUNCT
cana-1221	101	63	.	.	PUNCT
cana-1221	102	1	this	this	DET
cana-1221	102	2	ensemble	ensemble	ADJ
cana-1221	102	3	approach	approach	NOUN
cana-1221	102	4	aims	aim	VERB
cana-1221	102	5	to	to	ADP
cana-1221	102	6	communications	communication	NOUN
cana-1221	102	7	on	on	ADP
cana-1221	102	8	applied	apply	VERB
cana-1221	102	9	nonlinear	nonlinear	ADJ
cana-1221	102	10	analysis	analysis	NOUN
cana-1221	102	11	issn	issn	NOUN
cana-1221	102	12	:	:	PUNCT
cana-1221	102	13	1074	1074	NUM
cana-1221	102	14	-	-	PUNCT
cana-1221	102	15	133x	133x	NUM
cana-1221	102	16	vol	vol	NOUN
cana-1221	102	17	31	31	NUM
cana-1221	102	18	no	no	NOUN
cana-1221	102	19	.	.	PUNCT
cana-1221	103	1	6s	6s	NUM
cana-1221	103	2	(	(	PUNCT
cana-1221	103	3	2024	2024	NUM
cana-1221	103	4	)	)	PUNCT
cana-1221	103	5	273	273	NUM
cana-1221	103	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1221	103	7	harness	harness	NOUN
cana-1221	103	8	the	the	DET
cana-1221	103	9	unique	unique	ADJ
cana-1221	103	10	strengths	strength	NOUN
cana-1221	103	11	of	of	ADP
cana-1221	103	12	each	each	DET
cana-1221	103	13	algorithm	algorithm	NOUN
cana-1221	103	14	to	to	PART
cana-1221	103	15	provide	provide	VERB
cana-1221	103	16	a	a	DET
cana-1221	103	17	more	more	ADV
cana-1221	103	18	accurate	accurate	ADJ
cana-1221	103	19	and	and	CCONJ
cana-1221	103	20	robust	robust	ADJ
cana-1221	103	21	prediction	prediction	NOUN
cana-1221	103	22	of	of	ADP
cana-1221	103	23	water	water	NOUN
cana-1221	103	24	potential	potential	NOUN
cana-1221	103	25	.	.	PUNCT
cana-1221	104	1	shannon	shannon	PROPN
cana-1221	104	2	's	's	PART
cana-1221	104	3	entropy	entropy	NOUN
cana-1221	104	4	is	be	AUX
cana-1221	104	5	employed	employ	VERB
cana-1221	104	6	to	to	PART
cana-1221	104	7	gauge	gauge	VERB
cana-1221	104	8	the	the	DET
cana-1221	104	9	uniformity	uniformity	NOUN
cana-1221	104	10	of	of	ADP
cana-1221	104	11	water	water	NOUN
cana-1221	104	12	potential	potential	NOUN
cana-1221	104	13	across	across	ADP
cana-1221	104	14	influencing	influence	VERB
cana-1221	104	15	factors	factor	NOUN
cana-1221	104	16	,	,	PUNCT
cana-1221	104	17	and	and	CCONJ
cana-1221	104	18	frequency	frequency	NOUN
cana-1221	104	19	ratios	ratio	NOUN
cana-1221	104	20	are	be	AUX
cana-1221	104	21	calculated	calculate	VERB
cana-1221	104	22	for	for	ADP
cana-1221	104	23	each	each	DET
cana-1221	104	24	class	class	NOUN
cana-1221	104	25	within	within	ADP
cana-1221	104	26	these	these	DET
cana-1221	104	27	factors	factor	NOUN
cana-1221	104	28	.	.	PUNCT
cana-1221	105	1	these	these	DET
cana-1221	105	2	ratios	ratio	NOUN
cana-1221	105	3	,	,	PUNCT
cana-1221	105	4	emphasizing	emphasize	VERB
cana-1221	105	5	the	the	DET
cana-1221	105	6	correlation	correlation	NOUN
cana-1221	105	7	between	between	ADP
cana-1221	105	8	water	water	NOUN
cana-1221	105	9	locations	location	NOUN
cana-1221	105	10	and	and	CCONJ
cana-1221	105	11	influencing	influence	VERB
cana-1221	105	12	factor	factor	NOUN
cana-1221	105	13	values	value	NOUN
cana-1221	105	14	,	,	PUNCT
cana-1221	105	15	contribute	contribute	VERB
cana-1221	105	16	to	to	ADP
cana-1221	105	17	the	the	DET
cana-1221	105	18	generation	generation	NOUN
cana-1221	105	19	of	of	ADP
cana-1221	105	20	a	a	DET
cana-1221	105	21	water	water	NOUN
cana-1221	105	22	potential	potential	ADJ
cana-1221	105	23	map	map	NOUN
cana-1221	105	24	.	.	PUNCT
cana-1221	106	1	deep	deep	ADJ
cana-1221	106	2	neural	neural	ADJ
cana-1221	106	3	network	network	NOUN
cana-1221	106	4	(	(	PUNCT
cana-1221	106	5	dnn	dnn	PROPN
cana-1221	106	6	)	)	PUNCT
cana-1221	106	7	forms	form	VERB
cana-1221	106	8	a	a	DET
cana-1221	106	9	complex	complex	ADJ
cana-1221	106	10	mathematical	mathematical	ADJ
cana-1221	106	11	model	model	NOUN
cana-1221	106	12	,	,	PUNCT
cana-1221	106	13	capturing	capture	VERB
cana-1221	106	14	intricate	intricate	ADJ
cana-1221	106	15	patterns	pattern	NOUN
cana-1221	106	16	in	in	ADP
cana-1221	106	17	the	the	DET
cana-1221	106	18	data	datum	NOUN
cana-1221	106	19	and	and	CCONJ
cana-1221	106	20	enhancing	enhance	VERB
cana-1221	106	21	the	the	DET
cana-1221	106	22	ensemble	ensemble	NOUN
cana-1221	106	23	's	's	PART
cana-1221	106	24	predictive	predictive	ADJ
cana-1221	106	25	capabilities	capability	NOUN
cana-1221	106	26	.	.	PUNCT
cana-1221	107	1	principal	principal	ADJ
cana-1221	107	2	component	component	NOUN
cana-1221	107	3	analysis	analysis	NOUN
cana-1221	107	4	(	(	PUNCT
cana-1221	107	5	pca	pca	NOUN
cana-1221	107	6	)	)	PUNCT
cana-1221	107	7	transforms	transform	VERB
cana-1221	107	8	the	the	DET
cana-1221	107	9	dataset	dataset	NOUN
cana-1221	107	10	into	into	ADP
cana-1221	107	11	uncorrelated	uncorrelated	ADJ
cana-1221	107	12	eigenvectors	eigenvector	NOUN
cana-1221	107	13	,	,	PUNCT
cana-1221	107	14	reducing	reduce	VERB
cana-1221	107	15	dimensionality	dimensionality	NOUN
cana-1221	107	16	and	and	CCONJ
cana-1221	107	17	aiding	aid	VERB
cana-1221	107	18	in	in	ADP
cana-1221	107	19	efficient	efficient	ADJ
cana-1221	107	20	data	datum	NOUN
cana-1221	107	21	handling	handling	NOUN
cana-1221	107	22	.	.	PUNCT
cana-1221	108	1	gradient	gradient	ADJ
cana-1221	108	2	boosted	boost	VERB
cana-1221	108	3	decision	decision	NOUN
cana-1221	108	4	trees	tree	NOUN
cana-1221	108	5	(	(	PUNCT
cana-1221	108	6	gbdt	gbdt	NOUN
cana-1221	108	7	)	)	PUNCT
cana-1221	108	8	sequentially	sequentially	ADV
cana-1221	108	9	combines	combine	VERB
cana-1221	108	10	weak	weak	ADJ
cana-1221	108	11	learners	learner	NOUN
cana-1221	108	12	to	to	PART
cana-1221	108	13	construct	construct	VERB
cana-1221	108	14	a	a	DET
cana-1221	108	15	robust	robust	ADJ
cana-1221	108	16	predictive	predictive	ADJ
cana-1221	108	17	model	model	NOUN
cana-1221	108	18	that	that	PRON
cana-1221	108	19	captures	capture	VERB
cana-1221	108	20	intricate	intricate	ADJ
cana-1221	108	21	relationships	relationship	NOUN
cana-1221	108	22	within	within	ADP
cana-1221	108	23	the	the	DET
cana-1221	108	24	dataset	dataset	NOUN
cana-1221	108	25	.	.	PUNCT
cana-1221	109	1	genetic	genetic	ADJ
cana-1221	109	2	algorithm	algorithm	NOUN
cana-1221	109	3	(	(	PUNCT
cana-1221	109	4	ga	ga	NOUN
cana-1221	109	5	)	)	PUNCT
cana-1221	109	6	optimizes	optimize	VERB
cana-1221	109	7	attribute	attribute	NOUN
cana-1221	109	8	weights	weight	NOUN
cana-1221	109	9	obtained	obtain	VERB
cana-1221	109	10	through	through	ADP
cana-1221	109	11	pca	pca	PROPN
cana-1221	109	12	,	,	PUNCT
cana-1221	109	13	ensuring	ensure	VERB
cana-1221	109	14	an	an	DET
cana-1221	109	15	effective	effective	ADJ
cana-1221	109	16	training	training	NOUN
cana-1221	109	17	process	process	NOUN
cana-1221	109	18	.	.	PUNCT
cana-1221	110	1	by	by	ADP
cana-1221	110	2	integrating	integrate	VERB
cana-1221	110	3	these	these	DET
cana-1221	110	4	algorithms	algorithm	NOUN
cana-1221	110	5	,	,	PUNCT
cana-1221	110	6	the	the	DET
cana-1221	110	7	ensemble	ensemble	ADJ
cana-1221	110	8	model	model	NOUN
cana-1221	110	9	presents	present	VERB
cana-1221	110	10	a	a	DET
cana-1221	110	11	holistic	holistic	ADJ
cana-1221	110	12	and	and	CCONJ
cana-1221	110	13	effective	effective	ADJ
cana-1221	110	14	solution	solution	NOUN
cana-1221	110	15	for	for	ADP
cana-1221	110	16	mapping	mapping	NOUN
cana-1221	110	17	water	water	NOUN
cana-1221	110	18	prospective	prospective	ADJ
cana-1221	110	19	areas	area	NOUN
cana-1221	110	20	,	,	PUNCT
cana-1221	110	21	contributing	contribute	VERB
cana-1221	110	22	valuable	valuable	ADJ
cana-1221	110	23	insights	insight	NOUN
cana-1221	110	24	to	to	ADP
cana-1221	110	25	sustainable	sustainable	ADJ
cana-1221	110	26	water	water	NOUN
cana-1221	110	27	resource	resource	NOUN
cana-1221	110	28	management	management	NOUN
cana-1221	110	29	.	.	PUNCT
cana-1221	111	1	the	the	DET
cana-1221	111	2	ensemble	ensemble	ADJ
cana-1221	111	3	model	model	NOUN
cana-1221	111	4	-	-	PUNCT
cana-1221	111	5	based	base	VERB
cana-1221	111	6	water	water	NOUN
cana-1221	111	7	mapping	mapping	NOUN
cana-1221	111	8	is	be	AUX
cana-1221	111	9	given	give	VERB
cana-1221	111	10	as	as	ADP
cana-1221	111	11	,	,	PUNCT
cana-1221	111	12	shannon	shannon	PROPN
cana-1221	111	13	's	's	PART
cana-1221	111	14	entropy	entropy	NOUN
cana-1221	111	15	(	(	PUNCT
cana-1221	111	16	se	se	X
cana-1221	111	17	)	)	PUNCT
cana-1221	111	18	stephan	stephan	PROPN
cana-1221	111	19	boltzmann	boltzmann	PROPN
cana-1221	111	20	presented	present	VERB
cana-1221	111	21	the	the	DET
cana-1221	111	22	idea	idea	NOUN
cana-1221	111	23	of	of	ADP
cana-1221	111	24	an	an	DET
cana-1221	111	25	entropy	entropy	NOUN
cana-1221	111	26	index	index	NOUN
cana-1221	111	27	to	to	PART
cana-1221	111	28	associate	associate	VERB
cana-1221	111	29	with	with	ADP
cana-1221	111	30	the	the	DET
cana-1221	111	31	thermodynamic	thermodynamic	ADJ
cana-1221	111	32	position	position	NOUN
cana-1221	111	33	of	of	ADP
cana-1221	111	34	a	a	DET
cana-1221	111	35	model	model	NOUN
cana-1221	111	36	.	.	PUNCT
cana-1221	112	1	it	it	PRON
cana-1221	112	2	averages	average	VERB
cana-1221	112	3	the	the	DET
cana-1221	112	4	gaps	gap	NOUN
cana-1221	112	5	between	between	ADP
cana-1221	112	6	the	the	DET
cana-1221	112	7	proportions	proportion	NOUN
cana-1221	112	8	for	for	ADP
cana-1221	112	9	a	a	DET
cana-1221	112	10	sub	sub	NOUN
cana-1221	112	11	-	-	NOUN
cana-1221	112	12	class	class	NOUN
cana-1221	112	13	to	to	ADP
cana-1221	112	14	that	that	PRON
cana-1221	112	15	of	of	ADP
cana-1221	112	16	the	the	DET
cana-1221	112	17	whole	whole	ADJ
cana-1221	112	18	state	state	NOUN
cana-1221	112	19	and	and	CCONJ
cana-1221	112	20	hence	hence	ADV
cana-1221	112	21	used	use	VERB
cana-1221	112	22	like	like	ADP
cana-1221	112	23	a	a	DET
cana-1221	112	24	measure	measure	NOUN
cana-1221	112	25	for	for	ADP
cana-1221	112	26	the	the	DET
cana-1221	112	27	quantification	quantification	NOUN
cana-1221	112	28	of	of	ADP
cana-1221	112	29	uniformity	uniformity	NOUN
cana-1221	112	30	,	,	PUNCT
cana-1221	112	31	for	for	ADP
cana-1221	112	32	an	an	DET
cana-1221	112	33	evenly	evenly	ADJ
cana-1221	112	34	and	and	CCONJ
cana-1221	112	35	equivalent	equivalent	ADJ
cana-1221	112	36	distribution	distribution	NOUN
cana-1221	112	37	of	of	ADP
cana-1221	112	38	classes	class	NOUN
cana-1221	112	39	into	into	ADP
cana-1221	112	40	divisions	division	NOUN
cana-1221	112	41	.	.	PUNCT
cana-1221	113	1	in	in	ADP
cana-1221	113	2	the	the	DET
cana-1221	113	3	context	context	NOUN
cana-1221	113	4	of	of	ADP
cana-1221	113	5	this	this	DET
cana-1221	113	6	case	case	NOUN
cana-1221	113	7	study	study	NOUN
cana-1221	113	8	,	,	PUNCT
cana-1221	113	9	the	the	DET
cana-1221	113	10	associated	associated	ADJ
cana-1221	113	11	theory	theory	NOUN
cana-1221	113	12	's	's	PART
cana-1221	113	13	concepts	concept	NOUN
cana-1221	113	14	are	be	AUX
cana-1221	113	15	being	be	AUX
cana-1221	113	16	applied	apply	VERB
cana-1221	113	17	to	to	PART
cana-1221	113	18	identify	identify	VERB
cana-1221	113	19	the	the	DET
cana-1221	113	20	impact	impact	NOUN
cana-1221	113	21	of	of	ADP
cana-1221	113	22	each	each	DET
cana-1221	113	23	influencing	influence	VERB
cana-1221	113	24	factor	factor	NOUN
cana-1221	113	25	on	on	ADP
cana-1221	113	26	the	the	DET
cana-1221	113	27	location	location	NOUN
cana-1221	113	28	water	water	NOUN
cana-1221	113	29	potential	potential	NOUN
cana-1221	113	30	.	.	PUNCT
cana-1221	114	1	firstly	firstly	ADV
cana-1221	114	2	,	,	PUNCT
cana-1221	114	3	the	the	DET
cana-1221	114	4	frequency	frequency	NOUN
cana-1221	114	5	ratios	ratio	NOUN
cana-1221	114	6	were	be	AUX
cana-1221	114	7	computed	compute	VERB
cana-1221	114	8	for	for	ADP
cana-1221	114	9	all	all	DET
cana-1221	114	10	classes	class	NOUN
cana-1221	114	11	in	in	ADP
cana-1221	114	12	each	each	PRON
cana-1221	114	13	of	of	ADP
cana-1221	114	14	the	the	DET
cana-1221	114	15	influencing	influence	VERB
cana-1221	114	16	factor	factor	NOUN
cana-1221	114	17	's	's	PART
cana-1221	114	18	domains	domain	NOUN
cana-1221	114	19	as	as	SCONJ
cana-1221	114	20	defined	define	VERB
cana-1221	114	21	in	in	ADP
cana-1221	114	22	equation	equation	NOUN
cana-1221	114	23	1	1	NUM
cana-1221	114	24	.	.	PUNCT
cana-1221	115	1	these	these	DET
cana-1221	115	2	ratios	ratio	NOUN
cana-1221	115	3	establish	establish	VERB
cana-1221	115	4	the	the	DET
cana-1221	115	5	individual	individual	ADJ
cana-1221	115	6	and	and	CCONJ
cana-1221	115	7	independent	independent	ADJ
cana-1221	115	8	probability	probability	NOUN
cana-1221	115	9	distribution	distribution	NOUN
cana-1221	115	10	for	for	ADP
cana-1221	115	11	each	each	PRON
cana-1221	115	12	of	of	ADP
cana-1221	115	13	the	the	DET
cana-1221	115	14	influencing	influence	VERB
cana-1221	115	15	factors	factor	NOUN
cana-1221	115	16	with	with	ADP
cana-1221	115	17	the	the	DET
cana-1221	115	18	underlying	underlying	ADJ
cana-1221	115	19	assumption	assumption	NOUN
cana-1221	115	20	of	of	ADP
cana-1221	115	21	the	the	DET
cana-1221	115	22	influencing	influence	VERB
cana-1221	115	23	factors	factor	NOUN
cana-1221	115	24	having	have	VERB
cana-1221	115	25	negligible	negligible	ADJ
cana-1221	115	26	cross	cross	NOUN
cana-1221	115	27	effect	effect	NOUN
cana-1221	115	28	on	on	ADP
cana-1221	115	29	each	each	DET
cana-1221	115	30	other	other	ADJ
cana-1221	115	31	significance	significance	NOUN
cana-1221	115	32	of	of	ADP
cana-1221	115	33	water	water	NOUN
cana-1221	115	34	potential	potential	NOUN
cana-1221	115	35	.	.	PUNCT
cana-1221	116	1	𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦	𝑓𝑟𝑒𝑞𝑢𝑒𝑛𝑐𝑦	PROPN
cana-1221	116	2	𝑟𝑎𝑡𝑖𝑜(ℵ	𝑟𝑎𝑡𝑖𝑜(ℵ	NOUN
cana-1221	116	3	)	)	PUNCT
cana-1221	116	4	=	=	PUNCT
cana-1221	117	1	(	(	PUNCT
cana-1221	117	2	𝑝	𝑝	PROPN
cana-1221	117	3	𝑞⁄	𝑞⁄	NUM
cana-1221	117	4	𝑢	𝑢	PRON
cana-1221	117	5	𝑣⁄	𝑣⁄	NUM
cana-1221	117	6	)	)	PUNCT
cana-1221	117	7	---------(1	---------(1	CCONJ
cana-1221	117	8	)	)	PUNCT
cana-1221	117	9	for	for	ADP
cana-1221	117	10	a	a	DET
cana-1221	117	11	particular	particular	ADJ
cana-1221	117	12	influencing	influence	VERB
cana-1221	117	13	factor	factor	NOUN
cana-1221	117	14	,	,	PUNCT
cana-1221	117	15	refers	refer	VERB
cana-1221	117	16	to	to	ADP
cana-1221	117	17	the	the	DET
cana-1221	117	18	number	number	NOUN
cana-1221	117	19	of	of	ADP
cana-1221	117	20	water	water	NOUN
cana-1221	117	21	locations	location	NOUN
cana-1221	117	22	or	or	CCONJ
cana-1221	117	23	positive	positive	ADJ
cana-1221	117	24	labeled	label	VERB
cana-1221	117	25	records	record	NOUN
cana-1221	117	26	in	in	ADP
cana-1221	117	27	the	the	DET
cana-1221	117	28	specifically	specifically	ADV
cana-1221	117	29	chosen	choose	VERB
cana-1221	117	30	class	class	NOUN
cana-1221	117	31	.	.	PUNCT
cana-1221	118	1	while	while	SCONJ
cana-1221	118	2	q	q	NOUN
cana-1221	118	3	represents	represent	VERB
cana-1221	118	4	the	the	DET
cana-1221	118	5	total	total	ADJ
cana-1221	118	6	water	water	NOUN
cana-1221	118	7	locations	location	NOUN
cana-1221	118	8	(	(	PUNCT
cana-1221	118	9	positive	positive	ADJ
cana-1221	118	10	class	class	NOUN
cana-1221	118	11	records	record	NOUN
cana-1221	118	12	)	)	PUNCT
cana-1221	118	13	.	.	PUNCT
cana-1221	119	1	on	on	ADP
cana-1221	119	2	the	the	DET
cana-1221	119	3	denominator	denominator	NOUN
cana-1221	119	4	,	,	PUNCT
cana-1221	119	5	the	the	DET
cana-1221	119	6	quantity	quantity	NOUN
cana-1221	119	7	𝑢	𝑢	PRON
cana-1221	119	8	refers	refer	VERB
cana-1221	119	9	to	to	ADP
cana-1221	119	10	the	the	DET
cana-1221	119	11	area	area	NOUN
cana-1221	119	12	coverage	coverage	NOUN
cana-1221	119	13	of	of	ADP
cana-1221	119	14	the	the	DET
cana-1221	119	15	specifically	specifically	ADV
cana-1221	119	16	chosen	choose	VERB
cana-1221	119	17	class	class	NOUN
cana-1221	119	18	for	for	ADP
cana-1221	119	19	the	the	DET
cana-1221	119	20	same	same	ADJ
cana-1221	119	21	influencing	influence	VERB
cana-1221	119	22	factor	factor	NOUN
cana-1221	119	23	in	in	ADP
cana-1221	119	24	unit	unit	NOUN
cana-1221	119	25	of	of	ADP
cana-1221	119	26	pixels	pixel	NOUN
cana-1221	119	27	,	,	PUNCT
cana-1221	119	28	while	while	SCONJ
cana-1221	119	29	refers	refer	VERB
cana-1221	119	30	to	to	ADP
cana-1221	119	31	the	the	DET
cana-1221	119	32	area	area	NOUN
cana-1221	119	33	coverage	coverage	NOUN
cana-1221	119	34	of	of	ADP
cana-1221	119	35	the	the	DET
cana-1221	119	36	entire	entire	ADJ
cana-1221	119	37	study	study	NOUN
cana-1221	119	38	area	area	NOUN
cana-1221	119	39	also	also	ADV
cana-1221	119	40	expressed	express	VERB
cana-1221	119	41	in	in	ADP
cana-1221	119	42	number	number	NOUN
cana-1221	119	43	of	of	ADP
cana-1221	119	44	pixels	pixel	NOUN
cana-1221	119	45	.	.	PUNCT
cana-1221	120	1	the	the	DET
cana-1221	120	2	formula	formula	NOUN
cana-1221	120	3	thus	thus	ADV
cana-1221	120	4	delivers	deliver	VERB
cana-1221	120	5	the	the	DET
cana-1221	120	6	frequency	frequency	NOUN
cana-1221	120	7	ratio	ratio	NOUN
cana-1221	120	8	values	value	NOUN
cana-1221	120	9	for	for	ADP
cana-1221	120	10	the	the	DET
cana-1221	120	11	specifically	specifically	ADV
cana-1221	120	12	chosen	choose	VERB
cana-1221	120	13	sub	sub	NOUN
cana-1221	120	14	-	-	NOUN
cana-1221	120	15	class	class	NOUN
cana-1221	120	16	of	of	ADP
cana-1221	120	17	the	the	DET
cana-1221	120	18	same	same	ADJ
cana-1221	120	19	attribute	attribute	NOUN
cana-1221	120	20	.	.	PUNCT
cana-1221	121	1	for	for	ADP
cana-1221	121	2	all	all	PRON
cana-1221	121	3	of	of	ADP
cana-1221	121	4	the	the	DET
cana-1221	121	5	considered	considered	ADJ
cana-1221	121	6	influencing	influence	VERB
cana-1221	121	7	factors	factor	NOUN
cana-1221	121	8	,	,	PUNCT
cana-1221	121	9	the	the	DET
cana-1221	121	10	information	information	NOUN
cana-1221	121	11	coefficient	coefficient	NOUN
cana-1221	121	12	that	that	PRON
cana-1221	121	13	represents	represent	VERB
cana-1221	121	14	their	their	PRON
cana-1221	121	15	respective	respective	ADJ
cana-1221	121	16	significance	significance	NOUN
cana-1221	121	17	as	as	SCONJ
cana-1221	121	18	a	a	DET
cana-1221	121	19	numeric	numeric	ADJ
cana-1221	121	20	quantity	quantity	NOUN
cana-1221	121	21	has	have	AUX
cana-1221	121	22	been	be	AUX
cana-1221	121	23	calculated	calculate	VERB
cana-1221	121	24	using	use	VERB
cana-1221	121	25	the	the	DET
cana-1221	121	26	set	set	NOUN
cana-1221	121	27	of	of	ADP
cana-1221	121	28	equations	equation	NOUN
cana-1221	121	29	from	from	ADP
cana-1221	121	30	equation	equation	NOUN
cana-1221	121	31	2	2	NUM
cana-1221	121	32	to	to	ADP
cana-1221	121	33	7	7	NUM
cana-1221	121	34	.	.	PUNCT
cana-1221	121	35	𝜑𝑖𝑗	𝜑𝑖𝑗	NOUN
cana-1221	121	36	=	=	SYM
cana-1221	121	37	ℵ	ℵ	NOUN
cana-1221	121	38	∑	∑	PROPN
cana-1221	121	39	𝑗=1	𝑗=1	PROPN
cana-1221	121	40	𝑀𝑗	𝑀𝑗	PROPN
cana-1221	121	41	ℵ	ℵ	ADP
cana-1221	121	42	---------(2	---------(2	PROPN
cana-1221	121	43	)	)	PUNCT
cana-1221	121	44	𝜀𝑗	𝜀𝑗	ADP
cana-1221	121	45	=	=	PUNCT
cana-1221	121	46	−	−	PROPN
cana-1221	121	47	∑	∑	PUNCT
cana-1221	121	48	𝜑𝑖𝑗𝑙𝑜𝑔2𝜑𝑖𝑗	𝜑𝑖𝑗𝑙𝑜𝑔2𝜑𝑖𝑗	NUM
cana-1221	121	49	,	,	PUNCT
cana-1221	121	50	𝑗	𝑗	NOUN
cana-1221	121	51	=	=	SYM
cana-1221	121	52	1	1	NUM
cana-1221	121	53	,	,	PUNCT
cana-1221	121	54	…	…	PUNCT
cana-1221	121	55	,	,	PUNCT
cana-1221	121	56	𝑛	𝑛	PROPN
cana-1221	121	57	𝑀𝑗	𝑀𝑗	PROPN
cana-1221	121	58	𝑖=1	𝑖=1	PROPN
cana-1221	121	59	---------(3	---------(3	PROPN
cana-1221	121	60	)	)	PUNCT
cana-1221	121	61	𝜀𝑗	𝜀𝑗	VERB
cana-1221	121	62	𝑚𝑎𝑥	𝑚𝑎𝑥	ADJ
cana-1221	121	63	=	=	SYM
cana-1221	121	64	𝑙𝑜𝑔2𝑀𝑗---------(4	𝑙𝑜𝑔2𝑀𝑗---------(4	ADJ
cana-1221	121	65	)	)	PUNCT
cana-1221	121	66	communications	communication	NOUN
cana-1221	121	67	on	on	ADP
cana-1221	121	68	applied	apply	VERB
cana-1221	121	69	nonlinear	nonlinear	ADJ
cana-1221	121	70	analysis	analysis	NOUN
cana-1221	121	71	issn	issn	NOUN
cana-1221	121	72	:	:	PUNCT
cana-1221	121	73	1074	1074	NUM
cana-1221	121	74	-	-	PUNCT
cana-1221	121	75	133x	133x	NUM
cana-1221	121	76	vol	vol	NOUN
cana-1221	121	77	31	31	NUM
cana-1221	121	78	no	no	NOUN
cana-1221	121	79	.	.	PUNCT
cana-1221	122	1	6s	6s	NUM
cana-1221	122	2	(	(	PUNCT
cana-1221	122	3	2024	2024	NUM
cana-1221	122	4	)	)	PUNCT
cana-1221	122	5	274	274	NUM
cana-1221	122	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1221	122	7	𝛼𝑗	𝛼𝑗	NOUN
cana-1221	122	8	=	=	PUNCT
cana-1221	122	9	(	(	PUNCT
cana-1221	122	10	𝜀𝑗	𝜀𝑗	X
cana-1221	122	11	𝑚𝑎𝑥−𝜀𝑗	𝑚𝑎𝑥−𝜀𝑗	VERB
cana-1221	122	12	𝜀𝑗	𝜀𝑗	ADP
cana-1221	122	13	𝑚𝑎𝑥	𝑚𝑎𝑥	ADJ
cana-1221	122	14	)	)	PUNCT
cana-1221	122	15	---------(5	---------(5	X
cana-1221	122	16	)	)	PUNCT
cana-1221	122	17	𝜔𝑗	𝜔𝑗	NOUN
cana-1221	122	18	=	=	SYM
cana-1221	122	19	𝛼𝑗ℵ𝑎𝑣𝑔---------(6	𝛼𝑗ℵ𝑎𝑣𝑔---------(6	PROPN
cana-1221	122	20	)	)	PUNCT
cana-1221	122	21	ℵ𝑎𝑣𝑔	ℵ𝑎𝑣𝑔	NOUN
cana-1221	122	22	=	=	PUNCT
cana-1221	123	1	1	1	NUM
cana-1221	123	2	𝑀𝑗	𝑀𝑗	PROPN
cana-1221	123	3	∑	∑	PUNCT
cana-1221	123	4	ℵ	ℵ	X
cana-1221	123	5	𝑀𝑗	𝑀𝑗	PROPN
cana-1221	123	6	𝑗=1	𝑗=1	PROPN
cana-1221	123	7	---------(7	---------(7	NOUN
cana-1221	123	8	)	)	PUNCT
cana-1221	123	9	for	for	ADP
cana-1221	123	10	a	a	DET
cana-1221	123	11	given	give	VERB
cana-1221	123	12	influencing	influence	VERB
cana-1221	123	13	factor	factor	NOUN
cana-1221	123	14	the	the	DET
cana-1221	123	15	number	number	NOUN
cana-1221	123	16	of	of	ADP
cana-1221	123	17	classes	class	NOUN
cana-1221	123	18	the	the	DET
cana-1221	123	19	domain	domain	NOUN
cana-1221	123	20	divides	divide	VERB
cana-1221	123	21	into	into	ADP
cana-1221	123	22	is	be	AUX
cana-1221	123	23	represented	represent	VERB
cana-1221	123	24	by	by	ADP
cana-1221	123	25	𝑚𝑗	𝑚𝑗	NOUN
cana-1221	123	26	,	,	PUNCT
cana-1221	123	27	with	with	ADP
cana-1221	123	28	the	the	DET
cana-1221	123	29	probability	probability	NOUN
cana-1221	123	30	density	density	NOUN
cana-1221	123	31	being	be	AUX
cana-1221	123	32	referred	refer	VERB
cana-1221	123	33	to	to	ADP
cana-1221	123	34	by	by	ADP
cana-1221	123	35	𝜑𝑖𝑗	𝜑𝑖𝑗	NOUN
cana-1221	123	36	.	.	PUNCT
cana-1221	124	1	additionally	additionally	ADV
cana-1221	124	2	,	,	PUNCT
cana-1221	124	3	the	the	DET
cana-1221	124	4	entropy	entropy	NOUN
cana-1221	124	5	values	value	NOUN
cana-1221	124	6	are	be	AUX
cana-1221	124	7	represented	represent	VERB
cana-1221	124	8	by	by	ADP
cana-1221	124	9	𝜀𝑗	𝜀𝑗	NOUN
cana-1221	124	10	and	and	CCONJ
cana-1221	124	11	𝜀𝑗	𝜀𝑗	ADP
cana-1221	124	12	𝑚𝑎𝑥	𝑚𝑎𝑥	NOUN
cana-1221	124	13	and	and	CCONJ
cana-1221	124	14	the	the	DET
cana-1221	124	15	information	information	NOUN
cana-1221	124	16	coefficient	coefficient	NOUN
cana-1221	124	17	is	be	AUX
cana-1221	124	18	represented	represent	VERB
cana-1221	124	19	by	by	ADP
cana-1221	124	20	𝛼𝑗	𝛼𝑗	PROPN
cana-1221	124	21	,	,	PUNCT
cana-1221	124	22	while	while	SCONJ
cana-1221	124	23	the	the	DET
cana-1221	124	24	mean	mean	NOUN
cana-1221	124	25	of	of	ADP
cana-1221	124	26	fr	fr	ADJ
cana-1221	124	27	values	value	NOUN
cana-1221	124	28	of	of	ADP
cana-1221	124	29	all	all	DET
cana-1221	124	30	subclasses	subclass	NOUN
cana-1221	124	31	within	within	ADP
cana-1221	124	32	an	an	DET
cana-1221	124	33	attribute	attribute	NOUN
cana-1221	124	34	is	be	AUX
cana-1221	124	35	referred	refer	VERB
cana-1221	124	36	to	to	ADP
cana-1221	124	37	as	as	ADP
cana-1221	124	38	ℵ𝑎𝑣𝑔	ℵ𝑎𝑣𝑔	PROPN
cana-1221	124	39	.	.	PUNCT
cana-1221	125	1	ultimately	ultimately	ADV
cana-1221	125	2	,	,	PUNCT
cana-1221	125	3	the	the	DET
cana-1221	125	4	quantitative	quantitative	ADJ
cana-1221	125	5	contribution	contribution	NOUN
cana-1221	125	6	of	of	ADP
cana-1221	125	7	each	each	DET
cana-1221	125	8	factor	factor	NOUN
cana-1221	125	9	on	on	ADP
cana-1221	125	10	the	the	DET
cana-1221	125	11	resultant	resultant	NOUN
cana-1221	125	12	potential	potential	NOUN
cana-1221	125	13	is	be	AUX
cana-1221	125	14	referred	refer	VERB
cana-1221	125	15	to	to	ADP
cana-1221	125	16	by	by	ADP
cana-1221	125	17	𝜔𝑗	𝜔𝑗	PRON
cana-1221	125	18	.	.	PUNCT
cana-1221	126	1	frequency	frequency	NOUN
cana-1221	126	2	ratio	ratio	NOUN
cana-1221	126	3	(	(	PUNCT
cana-1221	126	4	fr	fr	PROPN
cana-1221	126	5	)	)	PUNCT
cana-1221	126	6	in	in	ADP
cana-1221	126	7	order	order	NOUN
cana-1221	126	8	to	to	PART
cana-1221	126	9	calculate	calculate	VERB
cana-1221	126	10	the	the	DET
cana-1221	126	11	frequency	frequency	NOUN
cana-1221	126	12	ratios	ratio	NOUN
cana-1221	126	13	,	,	PUNCT
cana-1221	126	14	the	the	DET
cana-1221	126	15	attributes	attribute	NOUN
cana-1221	126	16	are	be	AUX
cana-1221	126	17	first	first	ADV
cana-1221	126	18	divided	divide	VERB
cana-1221	126	19	into	into	ADP
cana-1221	126	20	classes	class	NOUN
cana-1221	126	21	and	and	CCONJ
cana-1221	126	22	for	for	ADP
cana-1221	126	23	each	each	DET
cana-1221	126	24	class	class	NOUN
cana-1221	126	25	the	the	DET
cana-1221	126	26	frequency	frequency	NOUN
cana-1221	126	27	(	(	PUNCT
cana-1221	126	28	number	number	NOUN
cana-1221	126	29	of	of	ADP
cana-1221	126	30	)	)	PUNCT
cana-1221	126	31	of	of	ADP
cana-1221	126	32	the	the	DET
cana-1221	126	33	positive	positive	ADJ
cana-1221	126	34	data	datum	NOUN
cana-1221	126	35	/	/	SYM
cana-1221	126	36	locations	location	NOUN
cana-1221	126	37	with	with	ADP
cana-1221	126	38	class	class	NOUN
cana-1221	126	39	water	water	NOUN
cana-1221	126	40	are	be	AUX
cana-1221	126	41	computed	compute	VERB
cana-1221	126	42	.	.	PUNCT
cana-1221	127	1	the	the	DET
cana-1221	127	2	probability	probability	NOUN
cana-1221	127	3	of	of	ADP
cana-1221	127	4	occurrence	occurrence	NOUN
cana-1221	127	5	of	of	ADP
cana-1221	127	6	the	the	DET
cana-1221	127	7	water	water	NOUN
cana-1221	127	8	the	the	DET
cana-1221	127	9	class	class	NOUN
cana-1221	127	10	thus	thus	ADV
cana-1221	127	11	becomes	become	VERB
cana-1221	127	12	the	the	DET
cana-1221	127	13	frequency	frequency	NOUN
cana-1221	127	14	ration	ration	NOUN
cana-1221	127	15	of	of	ADP
cana-1221	127	16	the	the	DET
cana-1221	127	17	attribute	attribute	NOUN
cana-1221	127	18	in	in	ADP
cana-1221	127	19	that	that	DET
cana-1221	127	20	class	class	NOUN
cana-1221	127	21	.	.	PUNCT
cana-1221	128	1	thus	thus	ADV
cana-1221	128	2	,	,	PUNCT
cana-1221	128	3	frequency	frequency	NOUN
cana-1221	128	4	ratio	ratio	NOUN
cana-1221	128	5	emphasizes	emphasize	VERB
cana-1221	128	6	the	the	DET
cana-1221	128	7	correlation	correlation	NOUN
cana-1221	128	8	that	that	PRON
cana-1221	128	9	exists	exist	VERB
cana-1221	128	10	between	between	ADP
cana-1221	128	11	the	the	DET
cana-1221	128	12	point	point	NOUN
cana-1221	128	13	location	location	NOUN
cana-1221	128	14	with	with	ADP
cana-1221	128	15	class\label	class\label	NUM
cana-1221	128	16	of	of	ADP
cana-1221	128	17	water	water	NOUN
cana-1221	128	18	and	and	CCONJ
cana-1221	128	19	the	the	DET
cana-1221	128	20	value	value	NOUN
cana-1221	128	21	of	of	ADP
cana-1221	128	22	the	the	DET
cana-1221	128	23	water	water	NOUN
cana-1221	128	24	influencing	influence	VERB
cana-1221	128	25	factors	factor	NOUN
cana-1221	128	26	for	for	ADP
cana-1221	128	27	the	the	DET
cana-1221	128	28	same	same	ADJ
cana-1221	128	29	points	point	NOUN
cana-1221	128	30	.	.	PUNCT
cana-1221	129	1	the	the	DET
cana-1221	129	2	frequency	frequency	NOUN
cana-1221	129	3	ratio	ratio	NOUN
cana-1221	129	4	for	for	ADP
cana-1221	129	5	the	the	DET
cana-1221	129	6	cth	cth	PROPN
cana-1221	129	7	class	class	PROPN
cana-1221	129	8	(	(	PUNCT
cana-1221	129	9	cmin	cmin	NOUN
cana-1221	129	10	,	,	PUNCT
cana-1221	129	11	cmax	cmax	NOUN
cana-1221	129	12	)	)	PUNCT
cana-1221	129	13	of	of	ADP
cana-1221	129	14	the	the	DET
cana-1221	129	15	ith	ith	NOUN
cana-1221	129	16	influencing	influence	VERB
cana-1221	129	17	factor	factor	NOUN
cana-1221	129	18	(	(	PUNCT
cana-1221	129	19	fi	fi	NOUN
cana-1221	129	20	)	)	PUNCT
cana-1221	129	21	,	,	PUNCT
cana-1221	129	22	where	where	SCONJ
cana-1221	129	23	(	(	PUNCT
cana-1221	129	24	1	1	NUM
cana-1221	129	25	≤	≤	NOUN
cana-1221	129	26	𝑖	𝑖	PUNCT
cana-1221	129	27	≤	≤	NOUN
cana-1221	129	28	𝑁	𝑁	PROPN
cana-1221	129	29	(	(	PUNCT
cana-1221	129	30	n	n	NOUN
cana-1221	129	31	is	be	AUX
cana-1221	129	32	the	the	DET
cana-1221	129	33	total	total	ADJ
cana-1221	129	34	count	count	NOUN
cana-1221	129	35	of	of	ADP
cana-1221	129	36	factors	factor	NOUN
cana-1221	129	37	)	)	PUNCT
cana-1221	129	38	)	)	PUNCT
cana-1221	129	39	is	be	AUX
cana-1221	129	40	estimated	estimate	VERB
cana-1221	129	41	as	as	SCONJ
cana-1221	129	42	follows	follow	VERB
cana-1221	129	43	in	in	ADP
cana-1221	129	44	equation	equation	NOUN
cana-1221	129	45	8	8	NUM
cana-1221	129	46	.	.	PUNCT
cana-1221	130	1	𝐹𝑅𝑐	𝐹𝑅𝑐	NOUN
cana-1221	130	2	𝑖	𝑖	NOUN
cana-1221	130	3	=	=	SYM
cana-1221	130	4	(	(	PUNCT
cana-1221	130	5	𝑁𝑜.𝑜𝑓	𝑁𝑜.𝑜𝑓	PROPN
cana-1221	130	6	𝐺𝑊	𝐺𝑊	PROPN
cana-1221	130	7	𝑝𝑖𝑥𝑒𝑙𝑠	𝑝𝑖𝑥𝑒𝑙𝑠	NOUN
cana-1221	130	8	𝑤𝑖𝑡ℎ	𝑤𝑖𝑡ℎ	NOUN
cana-1221	130	9	𝑣𝑎𝑙𝑢𝑒	𝑣𝑎𝑙𝑢𝑒	VERB
cana-1221	130	10	𝑓(𝐹𝑖)𝜖𝑐	𝑓(𝐹𝑖)𝜖𝑐	PROPN
cana-1221	130	11	𝑖,𝑒,(𝑐𝑚𝑖𝑛≤𝑓(𝐹𝑖)≤𝑐𝑚𝑎𝑥	𝑖,𝑒,(𝑐𝑚𝑖𝑛≤𝑓(𝐹𝑖)≤𝑐𝑚𝑎𝑥	NUM
cana-1221	130	12	𝑡𝑜𝑡𝑎𝑙	𝑡𝑜𝑡𝑎𝑙	NOUN
cana-1221	130	13	𝑛𝑢𝑚𝑏𝑒𝑟	𝑛𝑢𝑚𝑏𝑒𝑟	NOUN
cana-1221	130	14	𝑜𝑓	𝑜𝑓	ADP
cana-1221	130	15	𝑝𝑖𝑥𝑐𝑒𝑙𝑠	𝑝𝑖𝑥𝑐𝑒𝑙𝑠	NOUN
cana-1221	130	16	𝑖𝑛	𝑖𝑛	NOUN
cana-1221	130	17	𝑡ℎ𝑒	𝑡ℎ𝑒	ADJ
cana-1221	130	18	𝑠𝑡𝑢𝑑𝑦	𝑠𝑡𝑢𝑑𝑦	ADJ
cana-1221	130	19	𝑎𝑟𝑒𝑎	𝑎𝑟𝑒𝑎	NOUN
cana-1221	130	20	)	)	PUNCT
cana-1221	130	21	(	(	PUNCT
cana-1221	130	22	𝑡𝑜𝑡𝑎𝑙	𝑡𝑜𝑡𝑎𝑙	NOUN
cana-1221	130	23	𝑛𝑢𝑚𝑏𝑒𝑓𝑟	𝑛𝑢𝑚𝑏𝑒𝑓𝑟	NOUN
cana-1221	130	24	𝑜𝑓	𝑜𝑓	ADP
cana-1221	130	25	𝑝𝑖𝑥𝑒𝑙𝑠	𝑝𝑖𝑥𝑒𝑙𝑠	PROPN
cana-1221	130	26	𝑤𝑖𝑡ℎ	𝑤𝑖𝑡ℎ	NOUN
cana-1221	130	27	𝑣𝑎𝑙𝑢𝑒	𝑣𝑎𝑙𝑢𝑒	VERB
cana-1221	130	28	𝑓(𝐹𝑖)∈𝑐	𝑓(𝐹𝑖)∈𝑐	NOUN
cana-1221	130	29	𝑖,𝑒,(𝑐𝑚𝑖𝑛≤𝑓(𝐹𝑖)≤𝑐𝑚𝑎𝑥	𝑖,𝑒,(𝑐𝑚𝑖𝑛≤𝑓(𝐹𝑖)≤𝑐𝑚𝑎𝑥	NUM
cana-1221	130	30	𝑡𝑜𝑡𝑎𝑙	𝑡𝑜𝑡𝑎𝑙	ADJ
cana-1221	130	31	𝑛𝑢𝑚𝑏𝑒𝑟	𝑛𝑢𝑚𝑏𝑒𝑟	NOUN
cana-1221	130	32	𝑜𝑓	𝑜𝑓	ADP
cana-1221	130	33	𝑝𝑖𝑥𝑒𝑙𝑠	𝑝𝑖𝑥𝑒𝑙𝑠	VERB
cana-1221	130	34	𝑖𝑛	𝑖𝑛	NOUN
cana-1221	130	35	𝑡ℎ𝑒	𝑡ℎ𝑒	ADJ
cana-1221	130	36	𝑠𝑡𝑢𝑑𝑦	𝑠𝑡𝑢𝑑𝑦	ADJ
cana-1221	130	37	𝑎𝑟𝑒𝑎	𝑎𝑟𝑒𝑎	NOUN
cana-1221	130	38	)	)	PUNCT
cana-1221	130	39	---------(8	---------(8	NOUN
cana-1221	130	40	)	)	PUNCT
cana-1221	130	41	to	to	PART
cana-1221	130	42	generate	generate	VERB
cana-1221	130	43	the	the	DET
cana-1221	130	44	regions	region	NOUN
cana-1221	130	45	water	water	NOUN
cana-1221	130	46	potential	potential	NOUN
cana-1221	130	47	map	map	VERB
cana-1221	130	48	the	the	DET
cana-1221	130	49	frequency	frequency	NOUN
cana-1221	130	50	ratios	ratio	NOUN
cana-1221	130	51	for	for	ADP
cana-1221	130	52	all	all	DET
cana-1221	130	53	the	the	DET
cana-1221	130	54	influencing	influence	VERB
cana-1221	130	55	factors	factor	NOUN
cana-1221	130	56	are	be	AUX
cana-1221	130	57	summed	sum	VERB
cana-1221	130	58	as	as	SCONJ
cana-1221	130	59	described	describe	VERB
cana-1221	130	60	in	in	ADP
cana-1221	130	61	equation	equation	NOUN
cana-1221	130	62	9	9	NUM
cana-1221	130	63	.	.	PUNCT
cana-1221	131	1	𝐺𝑊	𝐺𝑊	PROPN
cana-1221	131	2	𝑝𝑜𝑡𝑒𝑛𝑡𝑖𝑎𝑙𝐹𝑅	𝑝𝑜𝑡𝑒𝑛𝑡𝑖𝑎𝑙𝐹𝑅	PROPN
cana-1221	131	3	=	=	PUNCT
cana-1221	131	4	∑	∑	PUNCT
cana-1221	131	5	𝐹𝑅𝑖𝑁	𝐹𝑅𝑖𝑁	PROPN
cana-1221	131	6	𝑖=1	𝑖=1	PUNCT
cana-1221	131	7	---------(9	---------(9	NOUN
cana-1221	131	8	)	)	PUNCT
cana-1221	131	9	deep	deep	ADJ
cana-1221	131	10	neural	neural	ADJ
cana-1221	131	11	network	network	NOUN
cana-1221	131	12	(	(	PUNCT
cana-1221	131	13	dnn	dnn	PROPN
cana-1221	131	14	)	)	PUNCT
cana-1221	131	15	a	a	DET
cana-1221	131	16	deep	deep	ADJ
cana-1221	131	17	neural	neural	ADJ
cana-1221	131	18	network	network	NOUN
cana-1221	131	19	is	be	AUX
cana-1221	131	20	a	a	DET
cana-1221	131	21	complex	complex	ADJ
cana-1221	131	22	mathematical	mathematical	ADJ
cana-1221	131	23	model	model	NOUN
cana-1221	131	24	composed	compose	VERB
cana-1221	131	25	of	of	ADP
cana-1221	131	26	layers	layer	NOUN
cana-1221	131	27	of	of	ADP
cana-1221	131	28	interconnected	interconnected	ADJ
cana-1221	131	29	nodes	node	NOUN
cana-1221	131	30	.	.	PUNCT
cana-1221	132	1	for	for	ADP
cana-1221	132	2	a	a	DET
cana-1221	132	3	simple	simple	ADJ
cana-1221	132	4	fully	fully	ADV
cana-1221	132	5	connected	connect	VERB
cana-1221	132	6	layer	layer	NOUN
cana-1221	132	7	,	,	PUNCT
cana-1221	132	8	it	it	PRON
cana-1221	132	9	is	be	AUX
cana-1221	132	10	given	give	VERB
cana-1221	132	11	by	by	ADP
cana-1221	132	12	:	:	PUNCT
cana-1221	132	13	𝑎𝑖	𝑎𝑖	PROPN
cana-1221	132	14	=	=	PROPN
cana-1221	132	15	𝜎(∑	𝜎(∑	PROPN
cana-1221	132	16	𝑤𝑖𝑗	𝑤𝑖𝑗	NOUN
cana-1221	132	17	∙	∙	PROPN
cana-1221	132	18	𝑥𝑖	𝑥𝑖	ADP
cana-1221	133	1	𝑁	𝑁	PROPN
cana-1221	133	2	𝑗=1	𝑗=1	PROPN
cana-1221	133	3	+	+	CCONJ
cana-1221	133	4	𝑏𝑖)---------(10	𝑏𝑖)---------(10	NOUN
cana-1221	133	5	)	)	PUNCT
cana-1221	133	6	where	where	SCONJ
cana-1221	133	7	𝑎𝑖	𝑎𝑖	PRON
cana-1221	133	8	is	be	AUX
cana-1221	133	9	the	the	DET
cana-1221	133	10	output	output	NOUN
cana-1221	133	11	of	of	ADP
cana-1221	133	12	node	node	PROPN
cana-1221	133	13	𝑖	𝑖	PROPN
cana-1221	133	14	,	,	PUNCT
cana-1221	133	15	𝑤𝑖𝑗	𝑤𝑖𝑗	PROPN
cana-1221	133	16	is	be	AUX
cana-1221	133	17	the	the	DET
cana-1221	133	18	weight	weight	NOUN
cana-1221	133	19	connecting	connect	VERB
cana-1221	133	20	node	node	PROPN
cana-1221	133	21	j	j	PROPN
cana-1221	133	22	to	to	PART
cana-1221	133	23	node	node	VERB
cana-1221	133	24	𝑖	𝑖	SYM
cana-1221	133	25	,	,	PUNCT
cana-1221	133	26	𝑥𝑖	𝑥𝑖	PROPN
cana-1221	133	27	is	be	AUX
cana-1221	133	28	the	the	DET
cana-1221	133	29	input	input	NOUN
cana-1221	133	30	from	from	ADP
cana-1221	133	31	node	node	PROPN
cana-1221	133	32	𝑗	𝑗	PROPN
cana-1221	133	33	,	,	PUNCT
cana-1221	133	34	𝑏𝑖	𝑏𝑖	PROPN
cana-1221	133	35	is	be	AUX
cana-1221	133	36	the	the	DET
cana-1221	133	37	bias	bias	NOUN
cana-1221	133	38	of	of	ADP
cana-1221	133	39	node	node	PROPN
cana-1221	133	40	i	i	PROPN
cana-1221	133	41	and	and	CCONJ
cana-1221	133	42	𝜎	𝜎	PROPN
cana-1221	133	43	is	be	AUX
cana-1221	133	44	the	the	DET
cana-1221	133	45	activation	activation	NOUN
cana-1221	133	46	function	function	NOUN
cana-1221	133	47	.	.	PUNCT
cana-1221	134	1	principal	principal	ADJ
cana-1221	134	2	component	component	NOUN
cana-1221	134	3	analysis	analysis	NOUN
cana-1221	134	4	(	(	PUNCT
cana-1221	134	5	pca	pca	PROPN
cana-1221	134	6	)	)	PUNCT
cana-1221	134	7	an	an	DET
cana-1221	134	8	un	un	PROPN
cana-1221	134	9	-	-	ADJ
cana-1221	134	10	correlated	correlate	VERB
cana-1221	134	11	feature	feature	NOUN
cana-1221	134	12	set	set	NOUN
cana-1221	134	13	of	of	ADP
cana-1221	134	14	eigenvectors	eigenvector	NOUN
cana-1221	134	15	also	also	ADV
cana-1221	134	16	called	call	VERB
cana-1221	134	17	principal	principal	ADJ
cana-1221	134	18	components	component	NOUN
cana-1221	134	19	or	or	CCONJ
cana-1221	134	20	eigenvectors	eigenvector	NOUN
cana-1221	134	21	is	be	AUX
cana-1221	134	22	obtained	obtain	VERB
cana-1221	134	23	through	through	ADP
cana-1221	134	24	an	an	DET
cana-1221	134	25	orthogonal	orthogonal	ADJ
cana-1221	134	26	projective	projective	ADJ
cana-1221	134	27	transformation	transformation	NOUN
cana-1221	134	28	of	of	ADP
cana-1221	134	29	the	the	DET
cana-1221	134	30	original	original	ADJ
cana-1221	134	31	dataset	dataset	NOUN
cana-1221	134	32	.	.	PUNCT
cana-1221	135	1	this	this	PRON
cana-1221	135	2	reduces	reduce	VERB
cana-1221	135	3	the	the	DET
cana-1221	135	4	size	size	NOUN
cana-1221	135	5	of	of	ADP
cana-1221	135	6	the	the	DET
cana-1221	135	7	dataset	dataset	NOUN
cana-1221	135	8	with	with	ADP
cana-1221	135	9	the	the	DET
cana-1221	135	10	transformed	transform	VERB
cana-1221	135	11	un	un	VERB
cana-1221	135	12	-	-	ADJ
cana-1221	135	13	correlated	correlate	VERB
cana-1221	135	14	dataset	dataset	NOUN
cana-1221	135	15	having	have	VERB
cana-1221	135	16	fewer	few	ADJ
cana-1221	135	17	dimensions	dimension	NOUN
cana-1221	135	18	than	than	ADP
cana-1221	135	19	the	the	DET
cana-1221	135	20	original	original	NOUN
cana-1221	135	21	.	.	PUNCT
cana-1221	136	1	this	this	PRON
cana-1221	136	2	is	be	AUX
cana-1221	136	3	achieved	achieve	VERB
cana-1221	136	4	by	by	ADP
cana-1221	136	5	having	have	VERB
cana-1221	136	6	the	the	DET
cana-1221	136	7	variance	variance	NOUN
cana-1221	136	8	among	among	ADP
cana-1221	136	9	original	original	ADJ
cana-1221	136	10	features	feature	NOUN
cana-1221	136	11	be	be	AUX
cana-1221	136	12	captured	capture	VERB
cana-1221	136	13	maximally	maximally	ADV
cana-1221	136	14	in	in	ADP
cana-1221	136	15	the	the	DET
cana-1221	136	16	newer	new	ADJ
cana-1221	136	17	feature	feature	NOUN
cana-1221	136	18	set	set	NOUN
cana-1221	136	19	,	,	PUNCT
cana-1221	136	20	with	with	ADP
cana-1221	136	21	the	the	DET
cana-1221	136	22	first	first	ADJ
cana-1221	136	23	eigenvector	eigenvector	NOUN
cana-1221	136	24	having	have	VERB
cana-1221	136	25	the	the	DET
cana-1221	136	26	highest	high	ADJ
cana-1221	136	27	variance	variance	NOUN
cana-1221	136	28	followed	follow	VERB
cana-1221	136	29	by	by	ADP
cana-1221	136	30	the	the	DET
cana-1221	136	31	second	second	ADJ
cana-1221	136	32	eigenvector	eigenvector	NOUN
cana-1221	136	33	which	which	PRON
cana-1221	136	34	has	have	VERB
cana-1221	136	35	the	the	DET
cana-1221	136	36	second	second	ADJ
cana-1221	136	37	highest	high	ADJ
cana-1221	136	38	variance	variance	NOUN
cana-1221	136	39	and	and	CCONJ
cana-1221	136	40	so	so	ADV
cana-1221	136	41	on	on	ADV
cana-1221	136	42	and	and	CCONJ
cana-1221	136	43	so	so	ADV
cana-1221	136	44	forth	forth	ADV
cana-1221	136	45	.	.	PUNCT
cana-1221	137	1	also	also	ADV
cana-1221	137	2	,	,	PUNCT
cana-1221	137	3	the	the	DET
cana-1221	137	4	eigenvectors	eigenvector	NOUN
cana-1221	137	5	are	be	AUX
cana-1221	137	6	orthogonal	orthogonal	ADJ
cana-1221	137	7	,	,	PUNCT
cana-1221	137	8	communications	communication	NOUN
cana-1221	137	9	on	on	ADP
cana-1221	137	10	applied	apply	VERB
cana-1221	137	11	nonlinear	nonlinear	ADJ
cana-1221	137	12	analysis	analysis	NOUN
cana-1221	137	13	issn	issn	NOUN
cana-1221	137	14	:	:	PUNCT
cana-1221	137	15	1074	1074	NUM
cana-1221	137	16	-	-	PUNCT
cana-1221	137	17	133x	133x	NUM
cana-1221	137	18	vol	vol	NOUN
cana-1221	137	19	31	31	NUM
cana-1221	137	20	no	no	NOUN
cana-1221	137	21	.	.	PUNCT
cana-1221	138	1	6s	6s	NUM
cana-1221	138	2	(	(	PUNCT
cana-1221	138	3	2024	2024	NUM
cana-1221	138	4	)	)	PUNCT
cana-1221	138	5	275	275	NUM
cana-1221	138	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1221	138	7	leading	lead	VERB
cana-1221	138	8	to	to	ADP
cana-1221	138	9	them	they	PRON
cana-1221	138	10	being	be	AUX
cana-1221	138	11	un	un	ADJ
cana-1221	138	12	-	-	VERB
cana-1221	138	13	correlated	correlate	VERB
cana-1221	138	14	.	.	PUNCT
cana-1221	139	1	graphically	graphically	ADV
cana-1221	139	2	,	,	PUNCT
cana-1221	139	3	it	it	PRON
cana-1221	139	4	can	can	AUX
cana-1221	139	5	visualized	visualize	VERB
cana-1221	139	6	as	as	SCONJ
cana-1221	139	7	the	the	DET
cana-1221	139	8	original	original	ADJ
cana-1221	139	9	dataset	dataset	NOUN
cana-1221	139	10	being	be	AUX
cana-1221	139	11	orthogonally	orthogonally	ADV
cana-1221	139	12	projected	project	VERB
cana-1221	139	13	from	from	ADP
cana-1221	139	14	a	a	DET
cana-1221	139	15	higher	high	ADJ
cana-1221	139	16	dimension	dimension	NOUN
cana-1221	139	17	space	space	NOUN
cana-1221	139	18	to	to	ADP
cana-1221	139	19	a	a	DET
cana-1221	139	20	lower	low	ADJ
cana-1221	139	21	dimension	dimension	NOUN
cana-1221	139	22	space	space	NOUN
cana-1221	139	23	,	,	PUNCT
cana-1221	139	24	with	with	SCONJ
cana-1221	139	25	the	the	DET
cana-1221	139	26	aim	aim	NOUN
cana-1221	139	27	to	to	PART
cana-1221	139	28	maximally	maximally	ADV
cana-1221	139	29	capture	capture	VERB
cana-1221	139	30	the	the	DET
cana-1221	139	31	variance	variance	NOUN
cana-1221	139	32	in	in	ADP
cana-1221	139	33	the	the	DET
cana-1221	139	34	data	datum	NOUN
cana-1221	139	35	.	.	PUNCT
cana-1221	140	1	the	the	DET
cana-1221	140	2	dataset	dataset	NOUN
cana-1221	140	3	is	be	AUX
cana-1221	140	4	described	describe	VERB
cana-1221	140	5	as	as	ADP
cana-1221	140	6	{	{	PUNCT
cana-1221	140	7	(	(	PUNCT
cana-1221	140	8	𝑋1	𝑋1	NOUN
cana-1221	140	9	=	=	SYM
cana-1221	140	10	(	(	PUNCT
cana-1221	140	11	[	[	X
cana-1221	140	12	𝑥1	𝑥1	NOUN
cana-1221	140	13	1	1	NUM
cana-1221	140	14	,	,	PUNCT
cana-1221	140	15	𝑥2	𝑥2	NOUN
cana-1221	140	16	1	1	NUM
cana-1221	140	17	,	,	PUNCT
cana-1221	140	18	𝑥3	𝑥3	NOUN
cana-1221	140	19	1	1	NUM
cana-1221	140	20	,	,	PUNCT
cana-1221	140	21	…	…	PUNCT
cana-1221	140	22	…	…	PUNCT
cana-1221	140	23	…	…	PUNCT
cana-1221	140	24	,	,	PUNCT
cana-1221	140	25	𝑥𝑁	𝑥𝑁	NOUN
cana-1221	140	26	1	1	NUM
cana-1221	140	27	]	]	PUNCT
cana-1221	140	28	,	,	PUNCT
cana-1221	140	29	𝑦1	𝑦1	PROPN
cana-1221	140	30	)	)	PUNCT
cana-1221	140	31	)	)	PUNCT
cana-1221	140	32	,	,	PUNCT
cana-1221	140	33	(	(	PUNCT
cana-1221	140	34	𝑋2	𝑋2	VERB
cana-1221	140	35	=	=	SYM
cana-1221	140	36	(	(	PUNCT
cana-1221	140	37	[	[	X
cana-1221	140	38	𝑥1	𝑥1	NOUN
cana-1221	140	39	2	2	NUM
cana-1221	140	40	,	,	PUNCT
cana-1221	140	41	𝑥2	𝑥2	NOUN
cana-1221	140	42	2	2	NUM
cana-1221	140	43	,	,	PUNCT
cana-1221	140	44	𝑥3	𝑥3	NOUN
cana-1221	140	45	2	2	NUM
cana-1221	140	46	,	,	PUNCT
cana-1221	140	47	…	…	PUNCT
cana-1221	140	48	…	…	PUNCT
cana-1221	140	49	…	…	PUNCT
cana-1221	140	50	,	,	PUNCT
cana-1221	140	51	𝑥𝑁	𝑥𝑁	NOUN
cana-1221	140	52	2	2	NUM
cana-1221	140	53	]	]	PUNCT
cana-1221	140	54	,	,	PUNCT
cana-1221	140	55	𝑦2	𝑦2	PROPN
cana-1221	140	56	)	)	PUNCT
cana-1221	140	57	,	,	PUNCT
cana-1221	140	58	…	…	PUNCT
cana-1221	140	59	…	…	PUNCT
cana-1221	140	60	,	,	PUNCT
cana-1221	140	61	(	(	PUNCT
cana-1221	140	62	𝑋𝑀	𝑋𝑀	NOUN
cana-1221	140	63	=	=	SYM
cana-1221	140	64	(	(	PUNCT
cana-1221	140	65	[	[	X
cana-1221	140	66	𝑥1	𝑥1	PROPN
cana-1221	140	67	𝑀	𝑀	PROPN
cana-1221	140	68	,	,	PUNCT
cana-1221	140	69	𝑥2	𝑥2	PROPN
cana-1221	140	70	𝑀	𝑀	PROPN
cana-1221	140	71	,	,	PUNCT
cana-1221	140	72	𝑥3	𝑥3	PROPN
cana-1221	140	73	𝑀	𝑀	PROPN
cana-1221	140	74	,	,	PUNCT
cana-1221	140	75	…	…	PUNCT
cana-1221	140	76	…	…	PUNCT
cana-1221	140	77	…	…	PUNCT
cana-1221	140	78	,	,	PUNCT
cana-1221	140	79	𝑥𝑁	𝑥𝑁	PROPN
cana-1221	140	80	𝑀	𝑀	PROPN
cana-1221	140	81	]	]	PUNCT
cana-1221	140	82	,	,	PUNCT
cana-1221	140	83	𝑦𝑀)))}---------(11	𝑦𝑀)))}---------(11	PROPN
cana-1221	140	84	)	)	PUNCT
cana-1221	140	85	where	where	SCONJ
cana-1221	140	86	n	n	NUM
cana-1221	140	87	being	be	AUX
cana-1221	140	88	the	the	DET
cana-1221	140	89	count	count	NOUN
cana-1221	140	90	of	of	ADP
cana-1221	140	91	attributes	attribute	NOUN
cana-1221	140	92	and	and	CCONJ
cana-1221	140	93	the	the	DET
cana-1221	140	94	count	count	NOUN
cana-1221	140	95	of	of	ADP
cana-1221	140	96	records	record	NOUN
cana-1221	140	97	are	be	AUX
cana-1221	140	98	represented	represent	VERB
cana-1221	140	99	by	by	ADP
cana-1221	140	100	m.	m.	NOUN
cana-1221	140	101	w={w1,w2,w3,	w={w1,w2,w3,	PROPN
cana-1221	140	102	…	…	SYM
cana-1221	140	103	..	..	PUNCT
cana-1221	140	104	,wn	,wn	PUNCT
cana-1221	140	105	}	}	PUNCT
cana-1221	140	106	denotes	denote	VERB
cana-1221	140	107	the	the	DET
cana-1221	140	108	principal	principal	ADJ
cana-1221	140	109	component	component	NOUN
cana-1221	140	110	for	for	ADP
cana-1221	140	111	all	all	DET
cana-1221	140	112	n	n	DET
cana-1221	140	113	attributes	attribute	NOUN
cana-1221	140	114	.	.	PUNCT
cana-1221	141	1	the	the	DET
cana-1221	141	2	projected	project	VERB
cana-1221	141	3	dataset	dataset	NOUN
cana-1221	141	4	forecast	forecast	NOUN
cana-1221	141	5	is	be	AUX
cana-1221	141	6	represented	represent	VERB
cana-1221	141	7	by	by	ADP
cana-1221	141	8	{	{	PUNCT
cana-1221	141	9	(	(	PUNCT
cana-1221	141	10	z1	z1	PROPN
cana-1221	141	11	=	=	PROPN
cana-1221	141	12	wtx1,y1	wtx1,y1	PROPN
cana-1221	141	13	)	)	PUNCT
cana-1221	141	14	,	,	PUNCT
cana-1221	141	15	(	(	PUNCT
cana-1221	141	16	z2	z2	PROPN
cana-1221	141	17	=	=	PROPN
cana-1221	141	18	wtx2,y2	wtx2,y2	PROPN
cana-1221	141	19	)	)	PUNCT
cana-1221	141	20	,	,	PUNCT
cana-1221	141	21	……	……	NOUN
cana-1221	141	22	,	,	PUNCT
cana-1221	141	23	(	(	PUNCT
cana-1221	141	24	zi	zi	NOUN
cana-1221	141	25	=	=	NOUN
cana-1221	141	26	wtxi	wtxi	NOUN
cana-1221	141	27	,	,	PUNCT
cana-1221	141	28	yi	yi	NOUN
cana-1221	141	29	)	)	PUNCT
cana-1221	141	30	,	,	PUNCT
cana-1221	141	31	……	……	NOUN
cana-1221	141	32	,	,	PUNCT
cana-1221	141	33	(	(	PUNCT
cana-1221	141	34	zm	zm	PROPN
cana-1221	141	35	=	=	NOUN
cana-1221	141	36	wtxm	wtxm	PROPN
cana-1221	141	37	,	,	PUNCT
cana-1221	141	38	ym	ym	NOUN
cana-1221	141	39	)	)	PUNCT
cana-1221	141	40	}	}	PUNCT
cana-1221	141	41	where	where	SCONJ
cana-1221	141	42	wt	wt	PROPN
cana-1221	141	43	indicates	indicate	VERB
cana-1221	141	44	the	the	DET
cana-1221	141	45	ws	ws	PROPN
cana-1221	141	46	transpose	transpose	PROPN
cana-1221	141	47	.	.	PUNCT
cana-1221	142	1	the	the	DET
cana-1221	142	2	datasets	dataset	NOUN
cana-1221	142	3	mean	mean	VERB
cana-1221	142	4	is	be	AUX
cana-1221	142	5	transformed	transform	VERB
cana-1221	142	6	to	to	ADP
cana-1221	142	7	𝑧̅	𝑧̅	VERB
cana-1221	142	8	=	=	SYM
cana-1221	142	9	1	1	NUM
cana-1221	142	10	𝑀	𝑀	PROPN
cana-1221	142	11	∑	∑	PUNCT
cana-1221	142	12	𝑧𝑖𝑀	𝑧𝑖𝑀	PROPN
cana-1221	142	13	𝑖=1	𝑖=1	PROPN
cana-1221	142	14	which	which	PRON
cana-1221	142	15	is	be	AUX
cana-1221	142	16	equivalent	equivalent	ADJ
cana-1221	142	17	to	to	ADP
cana-1221	142	18	𝑧	𝑧	NOUN
cana-1221	142	19	=	=	SYM
cana-1221	142	20	1	1	NUM
cana-1221	142	21	𝑀	𝑀	PROPN
cana-1221	142	22	𝑊𝑇	𝑊𝑇	PROPN
cana-1221	142	23	∑	∑	PUNCT
cana-1221	142	24	𝑋𝑖𝑀	𝑋𝑖𝑀	PROPN
cana-1221	142	25	𝑖=1	𝑖=1	PROPN
cana-1221	142	26	after	after	ADP
cana-1221	142	27	the	the	DET
cana-1221	142	28	orthogonal	orthogonal	ADJ
cana-1221	142	29	projection	projection	NOUN
cana-1221	142	30	.	.	PUNCT
cana-1221	143	1	this	this	PRON
cana-1221	143	2	can	can	AUX
cana-1221	143	3	be	be	AUX
cana-1221	143	4	written	write	VERB
cana-1221	143	5	as	as	ADP
cana-1221	143	6	𝑧̅	𝑧̅	NOUN
cana-1221	143	7	=	=	SYM
cana-1221	143	8	1	1	NUM
cana-1221	143	9	𝑀	𝑀	PROPN
cana-1221	143	10	𝑊𝑇	𝑊𝑇	PROPN
cana-1221	143	11	�	�	PROPN
cana-1221	143	12	̅	̅	NOUN
cana-1221	143	13	�	�	NOUN
cana-1221	143	14	.	.	PUNCT
cana-1221	144	1	hence	hence	ADV
cana-1221	144	2	the	the	DET
cana-1221	144	3	mean	mean	NOUN
cana-1221	144	4	of	of	ADP
cana-1221	144	5	the	the	DET
cana-1221	144	6	probable	probable	ADJ
cana-1221	144	7	data	data	NOUN
cana-1221	144	8	is	be	AUX
cana-1221	144	9	𝑧̅	𝑧̅	NOUN
cana-1221	144	10	=	=	SYM
cana-1221	144	11	1	1	NUM
cana-1221	144	12	𝑀	𝑀	PROPN
cana-1221	144	13	𝑊𝑇	𝑊𝑇	PROPN
cana-1221	144	14	�	�	PROPN
cana-1221	144	15	̅	̅	NOUN
cana-1221	144	16	�	�	PROPN
cana-1221	144	17	and	and	CCONJ
cana-1221	144	18	the	the	DET
cana-1221	144	19	variance	variance	NOUN
cana-1221	144	20	of	of	ADP
cana-1221	144	21	the	the	DET
cana-1221	144	22	projected	project	VERB
cana-1221	144	23	data	data	NOUN
cana-1221	144	24	is	be	AUX
cana-1221	144	25	𝑣	𝑣	PRON
cana-1221	144	26	=	=	SYM
cana-1221	144	27	1	1	NUM
cana-1221	144	28	𝑀	𝑀	PROPN
cana-1221	144	29	∑	∑	PUNCT
cana-1221	144	30	{	{	PUNCT
cana-1221	144	31	𝑊𝑇𝑥𝑖	𝑊𝑇𝑥𝑖	PROPN
cana-1221	144	32	−	−	PROPN
cana-1221	144	33	𝑊𝑇	𝑊𝑇	PROPN
cana-1221	144	34	�	�	PROPN
cana-1221	144	35	̅	̅	NOUN
cana-1221	144	36	�	�	PROPN
cana-1221	144	37	}	}	PUNCT
cana-1221	144	38	2𝑀	2𝑀	NOUN
cana-1221	144	39	𝑖=1	𝑖=1	PROPN
cana-1221	144	40	.	.	PUNCT
cana-1221	145	1	through	through	ADP
cana-1221	145	2	singular	singular	ADJ
cana-1221	145	3	value	value	NOUN
cana-1221	145	4	decomposition	decomposition	NOUN
cana-1221	145	5	we	we	PRON
cana-1221	145	6	get	get	VERB
cana-1221	145	7	equation	equation	NOUN
cana-1221	145	8	12	12	NUM
cana-1221	145	9	.	.	PUNCT
cana-1221	146	1	𝑣	𝑣	X
cana-1221	146	2	=	=	SYM
cana-1221	146	3	1	1	NUM
cana-1221	146	4	𝑀	𝑀	PROPN
cana-1221	146	5	∑	∑	PUNCT
cana-1221	146	6	{	{	PUNCT
cana-1221	146	7	𝑊𝑇𝑥𝑖	𝑊𝑇𝑥𝑖	PROPN
cana-1221	146	8	−	−	PROPN
cana-1221	146	9	𝑊𝑇	𝑊𝑇	PROPN
cana-1221	146	10	�	�	PROPN
cana-1221	146	11	̅	̅	NOUN
cana-1221	146	12	�	�	PROPN
cana-1221	146	13	}	}	PUNCT
cana-1221	146	14	2𝑀	2𝑀	NOUN
cana-1221	146	15	𝑖=1	𝑖=1	PUNCT
cana-1221	146	16	=	=	SYM
cana-1221	146	17	𝑊𝑇𝑆𝑊---------(12	𝑊𝑇𝑆𝑊---------(12	X
cana-1221	146	18	)	)	PUNCT
cana-1221	146	19	where	where	SCONJ
cana-1221	146	20	s	s	NOUN
cana-1221	146	21	is	be	AUX
cana-1221	146	22	the	the	DET
cana-1221	146	23	covariance	covariance	NOUN
cana-1221	146	24	matrix	matrix	NOUN
cana-1221	146	25	determined	determine	VERB
cana-1221	146	26	as	as	ADP
cana-1221	146	27	in	in	ADP
cana-1221	146	28	equation	equation	NOUN
cana-1221	146	29	13	13	NUM
cana-1221	146	30	.	.	PUNCT
cana-1221	147	1	𝑆	𝑆	PROPN
cana-1221	147	2	=	=	SYM
cana-1221	147	3	1	1	NUM
cana-1221	147	4	𝑀	𝑀	PROPN
cana-1221	147	5	∑	∑	PUNCT
cana-1221	147	6	(	(	PUNCT
cana-1221	147	7	𝑋𝑖	𝑋𝑖	PROPN
cana-1221	147	8	−	−	PROPN
cana-1221	147	9	�	�	NOUN
cana-1221	147	10	̅	̅	NOUN
cana-1221	147	11	�	�	NUM
cana-1221	147	12	)(𝑋𝑖	)(𝑋𝑖	PUNCT
cana-1221	147	13	−	−	PROPN
cana-1221	147	14	�	�	PROPN
cana-1221	147	15	̅	̅	NOUN
cana-1221	147	16	�	�	NOUN
cana-1221	147	17	)	)	PUNCT
cana-1221	147	18	𝑇𝑀	𝑇𝑀	PROPN
cana-1221	147	19	𝑖=1	𝑖=1	PROPN
cana-1221	147	20	---------(13	---------(13	NOUN
cana-1221	147	21	)	)	PUNCT
cana-1221	147	22	maximizing	maximize	VERB
cana-1221	147	23	the	the	DET
cana-1221	147	24	variance	variance	NOUN
cana-1221	147	25	among	among	ADP
cana-1221	147	26	the	the	DET
cana-1221	147	27	projected	project	VERB
cana-1221	147	28	data	datum	NOUN
cana-1221	147	29	,	,	PUNCT
cana-1221	147	30	denoted	denote	VERB
cana-1221	147	31	as	as	ADP
cana-1221	147	32	𝑊𝑇𝑆	𝑊𝑇𝑆	PROPN
cana-1221	147	33	,	,	PUNCT
cana-1221	147	34	in	in	ADP
cana-1221	147	35	relation	relation	NOUN
cana-1221	147	36	to	to	ADP
cana-1221	147	37	w	w	PROPN
cana-1221	147	38	is	be	AUX
cana-1221	147	39	the	the	DET
cana-1221	147	40	objective	objective	NOUN
cana-1221	147	41	.	.	PUNCT
cana-1221	148	1	to	to	PART
cana-1221	148	2	prevent	prevent	VERB
cana-1221	148	3	the	the	DET
cana-1221	148	4	potential	potential	ADJ
cana-1221	148	5	issue	issue	NOUN
cana-1221	148	6	of	of	ADP
cana-1221	148	7	𝑊	𝑊	PROPN
cana-1221	148	8	→∝	→∝	NOUN
cana-1221	148	9	resulting	result	VERB
cana-1221	148	10	from	from	ADP
cana-1221	148	11	this	this	DET
cana-1221	148	12	maximization	maximization	NOUN
cana-1221	148	13	,	,	PUNCT
cana-1221	148	14	the	the	DET
cana-1221	148	15	normalization	normalization	NOUN
cana-1221	148	16	condition	condition	NOUN
cana-1221	148	17	𝑊𝑇𝑊	𝑊𝑇𝑊	NOUN
cana-1221	148	18	=	=	SYM
cana-1221	148	19	1	1	NUM
cana-1221	148	20	is	be	AUX
cana-1221	148	21	introduced	introduce	VERB
cana-1221	148	22	.	.	PUNCT
cana-1221	149	1	this	this	DET
cana-1221	149	2	normalization	normalization	NOUN
cana-1221	149	3	condition	condition	NOUN
cana-1221	149	4	facilitates	facilitate	VERB
cana-1221	149	5	an	an	DET
cana-1221	149	6	unconstrained	unconstrained	ADJ
cana-1221	149	7	maximization	maximization	NOUN
cana-1221	149	8	,	,	PUNCT
cana-1221	149	9	as	as	SCONJ
cana-1221	149	10	indicated	indicate	VERB
cana-1221	149	11	in	in	ADP
cana-1221	149	12	equation	equation	NOUN
cana-1221	149	13	14	14	NUM
cana-1221	149	14	(	(	PUNCT
cana-1221	149	15	with	with	ADP
cana-1221	149	16	λ	λ	NOUN
cana-1221	149	17	serving	serve	VERB
cana-1221	149	18	as	as	ADP
cana-1221	149	19	the	the	DET
cana-1221	149	20	lagrange	lagrange	NOUN
cana-1221	149	21	multiplier	multiplier	NOUN
cana-1221	149	22	)	)	PUNCT
cana-1221	149	23	.	.	PUNCT
cana-1221	150	1	max	max	PROPN
cana-1221	150	2	𝑤	𝑤	PROPN
cana-1221	150	3	{	{	PUNCT
cana-1221	150	4	𝑊𝑇𝑆𝑊	𝑊𝑇𝑆𝑊	PROPN
cana-1221	150	5	+	+	PROPN
cana-1221	150	6	𝜆(1	𝜆(1	NOUN
cana-1221	150	7	−	−	ADP
cana-1221	150	8	𝑊𝑇𝑊)}---------(14	𝑊𝑇𝑊)}---------(14	NOUN
cana-1221	150	9	)	)	PUNCT
cana-1221	150	10	upon	upon	SCONJ
cana-1221	150	11	obtaining	obtain	VERB
cana-1221	150	12	the	the	DET
cana-1221	150	13	expression	expression	NOUN
cana-1221	150	14	in	in	ADP
cana-1221	150	15	equation	equation	NOUN
cana-1221	150	16	14	14	NUM
cana-1221	150	17	,	,	PUNCT
cana-1221	150	18	the	the	DET
cana-1221	150	19	derivation	derivation	NOUN
cana-1221	150	20	with	with	ADP
cana-1221	150	21	respect	respect	NOUN
cana-1221	150	22	to	to	ADP
cana-1221	150	23	w	w	NOUN
cana-1221	150	24	and	and	CCONJ
cana-1221	150	25	subsequent	subsequent	ADJ
cana-1221	150	26	setting	set	VERB
cana-1221	150	27	to	to	ADP
cana-1221	150	28	zero	zero	NUM
cana-1221	150	29	leads	lead	VERB
cana-1221	150	30	to	to	ADP
cana-1221	150	31	sw	sw	PROPN
cana-1221	150	32	=	=	NOUN
cana-1221	150	33	λw	λw	PROPN
cana-1221	150	34	.	.	PUNCT
cana-1221	151	1	this	this	PRON
cana-1221	151	2	signifies	signify	VERB
cana-1221	151	3	that	that	SCONJ
cana-1221	151	4	w	w	NOUN
cana-1221	151	5	acts	act	NOUN
cana-1221	151	6	as	as	ADP
cana-1221	151	7	an	an	DET
cana-1221	151	8	eigenvector	eigenvector	NOUN
cana-1221	151	9	for	for	ADP
cana-1221	151	10	the	the	DET
cana-1221	151	11	covariance	covariance	NOUN
cana-1221	151	12	s	s	PART
cana-1221	151	13	,	,	PUNCT
cana-1221	151	14	with	with	ADP
cana-1221	151	15	λ	λ	NOUN
cana-1221	151	16	representing	represent	VERB
cana-1221	151	17	the	the	DET
cana-1221	151	18	corresponding	corresponding	ADJ
cana-1221	151	19	eigenvalue	eigenvalue	PROPN
cana-1221	151	20	.	.	PUNCT
cana-1221	152	1	gradient	gradient	NOUN
cana-1221	152	2	boosted	boost	VERB
cana-1221	152	3	decision	decision	NOUN
cana-1221	152	4	trees	tree	NOUN
cana-1221	152	5	(	(	PUNCT
cana-1221	152	6	gbdt	gbdt	NOUN
cana-1221	152	7	)	)	PUNCT
cana-1221	152	8	gradient	gradient	NOUN
cana-1221	152	9	boosted	boost	VERB
cana-1221	152	10	decision	decision	NOUN
cana-1221	152	11	trees	tree	NOUN
cana-1221	152	12	(	(	PUNCT
cana-1221	152	13	gbdt	gbdt	PROPN
cana-1221	152	14	)	)	PUNCT
cana-1221	152	15	is	be	AUX
cana-1221	152	16	an	an	DET
cana-1221	152	17	ensemble	ensemble	ADJ
cana-1221	152	18	learning	learning	NOUN
cana-1221	152	19	algorithm	algorithm	NOUN
cana-1221	152	20	that	that	PRON
cana-1221	152	21	builds	build	VERB
cana-1221	152	22	a	a	DET
cana-1221	152	23	strong	strong	ADJ
cana-1221	152	24	predictive	predictive	ADJ
cana-1221	152	25	model	model	NOUN
cana-1221	152	26	by	by	ADP
cana-1221	152	27	sequentially	sequentially	ADV
cana-1221	152	28	combining	combine	VERB
cana-1221	152	29	weak	weak	ADJ
cana-1221	152	30	learners	learner	NOUN
cana-1221	152	31	,	,	PUNCT
cana-1221	152	32	typically	typically	ADV
cana-1221	152	33	shallow	shallow	ADJ
cana-1221	152	34	decision	decision	NOUN
cana-1221	152	35	trees	tree	NOUN
cana-1221	152	36	.	.	PUNCT
cana-1221	153	1	the	the	DET
cana-1221	153	2	algorithm	algorithm	NOUN
cana-1221	153	3	minimizes	minimize	VERB
cana-1221	153	4	a	a	DET
cana-1221	153	5	specified	specified	ADJ
cana-1221	153	6	loss	loss	NOUN
cana-1221	153	7	function	function	NOUN
cana-1221	153	8	by	by	ADP
cana-1221	153	9	adjusting	adjust	VERB
cana-1221	153	10	the	the	DET
cana-1221	153	11	model	model	NOUN
cana-1221	153	12	predictions	prediction	NOUN
cana-1221	153	13	in	in	ADP
cana-1221	153	14	the	the	DET
cana-1221	153	15	direction	direction	NOUN
cana-1221	153	16	opposite	opposite	ADV
cana-1221	153	17	to	to	ADP
cana-1221	153	18	the	the	DET
cana-1221	153	19	gradient	gradient	NOUN
cana-1221	153	20	of	of	ADP
cana-1221	153	21	the	the	DET
cana-1221	153	22	loss	loss	NOUN
cana-1221	153	23	.	.	PUNCT
cana-1221	154	1	the	the	DET
cana-1221	154	2	training	training	NOUN
cana-1221	154	3	dataset	dataset	NOUN
cana-1221	154	4	𝐷	𝐷	NOUN
cana-1221	154	5	=	=	SYM
cana-1221	154	6	{	{	PUNCT
cana-1221	154	7	(	(	PUNCT
cana-1221	154	8	𝑥𝑖	𝑥𝑖	PROPN
cana-1221	154	9	,	,	PUNCT
cana-1221	154	10	𝑦𝑖)}𝑖=1	𝑦𝑖)}𝑖=1	ADJ
cana-1221	154	11	𝑁	𝑁	PROPN
cana-1221	154	12	consists	consist	VERB
cana-1221	154	13	of	of	ADP
cana-1221	154	14	feature	feature	NOUN
cana-1221	154	15	vectors	vector	NOUN
cana-1221	154	16	xi	xi	X
cana-1221	154	17	and	and	CCONJ
cana-1221	154	18	corresponding	correspond	VERB
cana-1221	154	19	target	target	NOUN
cana-1221	154	20	variables	variable	NOUN
cana-1221	154	21	yi	yi	PROPN
cana-1221	154	22	.	.	PUNCT
cana-1221	155	1	gbdt	gbdt	NOUN
cana-1221	155	2	employs	employ	VERB
cana-1221	155	3	m	m	VERB
cana-1221	155	4	weak	weak	ADJ
cana-1221	155	5	learners	learner	NOUN
cana-1221	155	6	hm(x	hm(x	PUNCT
cana-1221	155	7	)	)	PUNCT
cana-1221	155	8	in	in	ADP
cana-1221	155	9	the	the	DET
cana-1221	155	10	ensemble	ensemble	NOUN
cana-1221	155	11	,	,	PUNCT
cana-1221	155	12	with	with	ADP
cana-1221	155	13	m	m	PROPN
cana-1221	155	14	as	as	ADP
cana-1221	155	15	the	the	DET
cana-1221	155	16	iteration	iteration	NOUN
cana-1221	155	17	index	index	NOUN
cana-1221	155	18	.	.	PUNCT
cana-1221	156	1	the	the	DET
cana-1221	156	2	overall	overall	ADJ
cana-1221	156	3	model	model	NOUN
cana-1221	156	4	prediction	prediction	NOUN
cana-1221	156	5	is	be	AUX
cana-1221	156	6	a	a	DET
cana-1221	156	7	weighted	weighted	ADJ
cana-1221	156	8	sum	sum	NOUN
cana-1221	156	9	of	of	ADP
cana-1221	156	10	the	the	DET
cana-1221	156	11	weak	weak	ADJ
cana-1221	156	12	learners	learner	NOUN
cana-1221	156	13	in	in	ADP
cana-1221	156	14	equation	equation	NOUN
cana-1221	156	15	15	15	NUM
cana-1221	156	16	.	.	PUNCT
cana-1221	156	17	𝐹𝑀(𝑥	𝐹𝑀(𝑥	PUNCT
cana-1221	156	18	)	)	PUNCT
cana-1221	157	1	=	=	PUNCT
cana-1221	157	2	∑	∑	PUNCT
cana-1221	157	3	𝛼𝑚ℎ𝑚	𝛼𝑚ℎ𝑚	PROPN
cana-1221	157	4	𝑀	𝑀	PROPN
cana-1221	157	5	𝑚=1	𝑚=1	X
cana-1221	157	6	(	(	PUNCT
cana-1221	157	7	𝑥	𝑥	NOUN
cana-1221	157	8	)	)	PUNCT
cana-1221	157	9	---------(15	---------(15	NOUN
cana-1221	157	10	)	)	PUNCT
cana-1221	157	11	communications	communication	NOUN
cana-1221	157	12	on	on	ADP
cana-1221	157	13	applied	apply	VERB
cana-1221	157	14	nonlinear	nonlinear	ADJ
cana-1221	157	15	analysis	analysis	NOUN
cana-1221	157	16	issn	issn	NOUN
cana-1221	157	17	:	:	PUNCT
cana-1221	157	18	1074	1074	NUM
cana-1221	157	19	-	-	PUNCT
cana-1221	157	20	133x	133x	NUM
cana-1221	157	21	vol	vol	NOUN
cana-1221	157	22	31	31	NUM
cana-1221	157	23	no	no	NOUN
cana-1221	157	24	.	.	PUNCT
cana-1221	158	1	6s	6s	NUM
cana-1221	158	2	(	(	PUNCT
cana-1221	158	3	2024	2024	NUM
cana-1221	158	4	)	)	PUNCT
cana-1221	158	5	276	276	NUM
cana-1221	158	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1221	159	1	the	the	DET
cana-1221	159	2	training	training	NOUN
cana-1221	159	3	process	process	NOUN
cana-1221	159	4	starts	start	VERB
cana-1221	159	5	with	with	ADP
cana-1221	159	6	an	an	DET
cana-1221	159	7	initial	initial	ADJ
cana-1221	159	8	model	model	NOUN
cana-1221	159	9	prediction	prediction	NOUN
cana-1221	159	10	f0(x	f0(x	NOUN
cana-1221	159	11	)	)	PUNCT
cana-1221	159	12	,	,	PUNCT
cana-1221	159	13	often	often	ADV
cana-1221	159	14	set	set	VERB
cana-1221	159	15	as	as	ADP
cana-1221	159	16	the	the	DET
cana-1221	159	17	mean	mean	NOUN
cana-1221	159	18	of	of	ADP
cana-1221	159	19	the	the	DET
cana-1221	159	20	target	target	NOUN
cana-1221	159	21	variable	variable	NOUN
cana-1221	159	22	.	.	PUNCT
cana-1221	160	1	for	for	ADP
cana-1221	160	2	each	each	DET
cana-1221	160	3	iteration	iteration	NOUN
cana-1221	160	4	m	m	PRON
cana-1221	160	5	,	,	PUNCT
cana-1221	160	6	the	the	DET
cana-1221	160	7	algorithm	algorithm	NOUN
cana-1221	160	8	fits	fit	VERB
cana-1221	160	9	a	a	DET
cana-1221	160	10	weak	weak	ADJ
cana-1221	160	11	learner	learner	NOUN
cana-1221	160	12	hm(x	hm(x	PUNCT
cana-1221	160	13	)	)	PUNCT
cana-1221	160	14	to	to	ADP
cana-1221	160	15	the	the	DET
cana-1221	160	16	negative	negative	ADJ
cana-1221	160	17	gradient	gradient	NOUN
cana-1221	160	18	of	of	ADP
cana-1221	160	19	the	the	DET
cana-1221	160	20	loss	loss	NOUN
cana-1221	160	21	function	function	NOUN
cana-1221	160	22	in	in	ADP
cana-1221	160	23	equation	equation	NOUN
cana-1221	160	24	16	16	NUM
cana-1221	160	25	.	.	PUNCT
cana-1221	160	26	ℎ𝑚(𝑥	ℎ𝑚(𝑥	PROPN
cana-1221	160	27	)	)	PUNCT
cana-1221	161	1	=	=	PUNCT
cana-1221	161	2	arg	arg	NOUN
cana-1221	161	3	min	min	NOUN
cana-1221	161	4	ℎ	ℎ	PROPN
cana-1221	161	5	∑	∑	PROPN
cana-1221	161	6	𝐿(𝑦𝑖	𝐿(𝑦𝑖	PROPN
cana-1221	161	7	,	,	PUNCT
cana-1221	161	8	𝐹𝑚−1(𝑥𝑖	𝐹𝑚−1(𝑥𝑖	ADJ
cana-1221	161	9	)	)	PUNCT
cana-1221	161	10	+	+	CCONJ
cana-1221	161	11	ℎ(𝑥𝑖)𝑁	ℎ(𝑥𝑖)𝑁	X
cana-1221	161	12	𝑖=1	𝑖=1	VERB
cana-1221	161	13	---------(16	---------(16	NOUN
cana-1221	161	14	)	)	PUNCT
cana-1221	161	15	the	the	DET
cana-1221	161	16	weight	weight	NOUN
cana-1221	161	17	αm	αm	NOUN
cana-1221	161	18	for	for	ADP
cana-1221	161	19	the	the	DET
cana-1221	161	20	weak	weak	ADJ
cana-1221	161	21	learner	learner	NOUN
cana-1221	161	22	is	be	AUX
cana-1221	161	23	determined	determine	VERB
cana-1221	161	24	based	base	VERB
cana-1221	161	25	on	on	ADP
cana-1221	161	26	a	a	DET
cana-1221	161	27	line	line	NOUN
cana-1221	161	28	search	search	NOUN
cana-1221	161	29	or	or	CCONJ
cana-1221	161	30	other	other	ADJ
cana-1221	161	31	optimization	optimization	NOUN
cana-1221	161	32	techniques	technique	NOUN
cana-1221	161	33	.	.	PUNCT
cana-1221	162	1	the	the	DET
cana-1221	162	2	overall	overall	ADJ
cana-1221	162	3	model	model	NOUN
cana-1221	162	4	prediction	prediction	NOUN
cana-1221	162	5	is	be	AUX
cana-1221	162	6	updated	update	VERB
cana-1221	162	7	as	as	SCONJ
cana-1221	162	8	follows	follow	VERB
cana-1221	162	9	in	in	ADP
cana-1221	162	10	equation	equation	NOUN
cana-1221	162	11	17	17	NUM
cana-1221	162	12	.	.	PUNCT
cana-1221	163	1	𝐹𝑚(𝑥	𝐹𝑚(𝑥	NUM
cana-1221	163	2	)	)	PUNCT
cana-1221	164	1	=	=	SYM
cana-1221	164	2	𝐹𝑚−1(𝑥	𝐹𝑚−1(𝑥	PROPN
cana-1221	164	3	)	)	PUNCT
cana-1221	165	1	+	+	CCONJ
cana-1221	165	2	𝛼𝑚ℎ𝑚(𝑥	𝛼𝑚ℎ𝑚(𝑥	NOUN
cana-1221	165	3	)	)	PUNCT
cana-1221	165	4	---------(17	---------(17	NOUN
cana-1221	165	5	)	)	PUNCT
cana-1221	165	6	gbdt	gbdt	NOUN
cana-1221	165	7	minimizes	minimize	VERB
cana-1221	165	8	a	a	DET
cana-1221	165	9	specified	specified	ADJ
cana-1221	165	10	loss	loss	NOUN
cana-1221	165	11	function	function	NOUN
cana-1221	165	12	,	,	PUNCT
cana-1221	165	13	typically	typically	ADV
cana-1221	165	14	mean	mean	VERB
cana-1221	165	15	squared	square	VERB
cana-1221	165	16	error	error	NOUN
cana-1221	165	17	(	(	PUNCT
cana-1221	165	18	mse	mse	NOUN
cana-1221	165	19	)	)	PUNCT
cana-1221	165	20	in	in	ADP
cana-1221	165	21	equation	equation	NOUN
cana-1221	165	22	18	18	NUM
cana-1221	165	23	.	.	PUNCT
cana-1221	166	1	𝐿(𝑦𝑖	𝐿(𝑦𝑖	PROPN
cana-1221	166	2	,	,	PUNCT
cana-1221	166	3	𝐹(𝑥𝑖	𝐹(𝑥𝑖	NOUN
cana-1221	166	4	)	)	PUNCT
cana-1221	166	5	)	)	PUNCT
cana-1221	167	1	=	=	PUNCT
cana-1221	168	1	[	[	X
cana-1221	168	2	𝑦𝑖log(𝑝𝑖	𝑦𝑖log(𝑝𝑖	NOUN
cana-1221	168	3	)	)	PUNCT
cana-1221	168	4	+	+	CCONJ
cana-1221	168	5	(	(	PUNCT
cana-1221	168	6	1	1	NUM
cana-1221	168	7	−	−	NOUN
cana-1221	168	8	𝑦𝑖)log(1	𝑦𝑖)log(1	NOUN
cana-1221	168	9	−	−	PROPN
cana-1221	168	10	𝑝𝑖)]---------(18	𝑝𝑖)]---------(18	PROPN
cana-1221	168	11	)	)	PUNCT
cana-1221	168	12	where	where	SCONJ
cana-1221	168	13	pi	pi	NOUN
cana-1221	168	14	is	be	AUX
cana-1221	168	15	the	the	DET
cana-1221	168	16	predicted	predict	VERB
cana-1221	168	17	probability	probability	NOUN
cana-1221	168	18	.	.	PUNCT
cana-1221	169	1	regularization	regularization	NOUN
cana-1221	169	2	techniques	technique	NOUN
cana-1221	169	3	include	include	VERB
cana-1221	169	4	shrinkage	shrinkage	NOUN
cana-1221	169	5	(	(	PUNCT
cana-1221	169	6	ν	ν	NOUN
cana-1221	169	7	)	)	PUNCT
cana-1221	169	8	to	to	PART
cana-1221	169	9	control	control	VERB
cana-1221	169	10	the	the	DET
cana-1221	169	11	contribution	contribution	NOUN
cana-1221	169	12	of	of	ADP
cana-1221	169	13	each	each	DET
cana-1221	169	14	weak	weak	ADJ
cana-1221	169	15	learner	learner	NOUN
cana-1221	169	16	in	in	ADP
cana-1221	169	17	equation	equation	NOUN
cana-1221	169	18	19	19	NUM
cana-1221	169	19	.	.	PUNCT
cana-1221	169	20	𝐹𝑚(𝑥	𝐹𝑚(𝑥	NUM
cana-1221	169	21	)	)	PUNCT
cana-1221	169	22	=	=	SYM
cana-1221	169	23	𝐹𝑚−1(𝑥	𝐹𝑚−1(𝑥	PROPN
cana-1221	169	24	)	)	PUNCT
cana-1221	169	25	+	+	PUNCT
cana-1221	169	26	𝜈𝛼𝑚ℎ𝑚(𝑥	𝜈𝛼𝑚ℎ𝑚(𝑥	NOUN
cana-1221	169	27	)	)	PUNCT
cana-1221	169	28	---------(19	---------(19	PROPN
cana-1221	169	29	)	)	PUNCT
cana-1221	169	30	the	the	DET
cana-1221	169	31	final	final	ADJ
cana-1221	169	32	model	model	NOUN
cana-1221	169	33	prediction	prediction	NOUN
cana-1221	169	34	after	after	SCONJ
cana-1221	169	35	m	m	NOUN
cana-1221	169	36	iterations	iteration	NOUN
cana-1221	169	37	is	be	AUX
cana-1221	169	38	given	give	VERB
cana-1221	169	39	in	in	ADP
cana-1221	169	40	equation	equation	NOUN
cana-1221	169	41	20	20	NUM
cana-1221	169	42	.	.	PUNCT
cana-1221	169	43	𝐹𝑀(𝑥	𝐹𝑀(𝑥	PUNCT
cana-1221	169	44	)	)	PUNCT
cana-1221	170	1	=	=	PUNCT
cana-1221	170	2	∑	∑	PUNCT
cana-1221	170	3	𝜈𝛼𝑚ℎ𝑚(𝑥)𝑀	𝜈𝛼𝑚ℎ𝑚(𝑥)𝑀	PROPN
cana-1221	170	4	𝑚=1	𝑚=1	PROPN
cana-1221	170	5	---------(20	---------(20	NOUN
cana-1221	170	6	)	)	PUNCT
cana-1221	170	7	feature	feature	NOUN
cana-1221	170	8	importance	importance	NOUN
cana-1221	170	9	is	be	AUX
cana-1221	170	10	assessed	assess	VERB
cana-1221	170	11	based	base	VERB
cana-1221	170	12	on	on	ADP
cana-1221	170	13	the	the	DET
cana-1221	170	14	gain	gain	NOUN
cana-1221	170	15	or	or	CCONJ
cana-1221	170	16	improvement	improvement	NOUN
cana-1221	170	17	in	in	ADP
cana-1221	170	18	the	the	DET
cana-1221	170	19	loss	loss	NOUN
cana-1221	170	20	function	function	NOUN
cana-1221	170	21	brought	bring	VERB
cana-1221	170	22	about	about	ADP
cana-1221	170	23	by	by	ADP
cana-1221	170	24	each	each	DET
cana-1221	170	25	feature	feature	NOUN
cana-1221	170	26	during	during	ADP
cana-1221	170	27	training	training	NOUN
cana-1221	170	28	.	.	PUNCT
cana-1221	171	1	regularization	regularization	NOUN
cana-1221	171	2	techniques	technique	NOUN
cana-1221	171	3	and	and	CCONJ
cana-1221	171	4	hyperparameter	hyperparameter	NOUN
cana-1221	171	5	tuning	tune	VERB
cana-1221	171	6	play	play	VERB
cana-1221	171	7	crucial	crucial	ADJ
cana-1221	171	8	roles	role	NOUN
cana-1221	171	9	in	in	ADP
cana-1221	171	10	achieving	achieve	VERB
cana-1221	171	11	optimal	optimal	ADJ
cana-1221	171	12	performance	performance	NOUN
cana-1221	171	13	.	.	PUNCT
cana-1221	172	1	genetic	genetic	ADJ
cana-1221	172	2	algorithm	algorithm	NOUN
cana-1221	172	3	(	(	PUNCT
cana-1221	172	4	ga	ga	PROPN
cana-1221	172	5	)	)	PUNCT
cana-1221	172	6	the	the	DET
cana-1221	172	7	initial	initial	ADJ
cana-1221	172	8	weight	weight	NOUN
cana-1221	172	9	assignment	assignment	NOUN
cana-1221	172	10	for	for	ADP
cana-1221	172	11	the	the	DET
cana-1221	172	12	attributes	attribute	NOUN
cana-1221	172	13	on	on	ADP
cana-1221	172	14	the	the	DET
cana-1221	172	15	basis	basis	NOUN
cana-1221	172	16	of	of	ADP
cana-1221	172	17	train	train	NOUN
cana-1221	172	18	data	datum	NOUN
cana-1221	172	19	is	be	AUX
cana-1221	172	20	done	do	VERB
cana-1221	172	21	through	through	ADP
cana-1221	172	22	principal	principal	ADJ
cana-1221	172	23	component	component	NOUN
cana-1221	172	24	analysis	analysis	NOUN
cana-1221	172	25	.	.	PUNCT
cana-1221	173	1	for	for	ADP
cana-1221	173	2	training	train	VERB
cana-1221	173	3	the	the	DET
cana-1221	173	4	model	model	NOUN
cana-1221	173	5	,	,	PUNCT
cana-1221	173	6	the	the	DET
cana-1221	173	7	dataset	dataset	NOUN
cana-1221	173	8	is	be	AUX
cana-1221	173	9	trimmed	trim	VERB
cana-1221	173	10	as	as	ADP
cana-1221	173	11	per	per	ADP
cana-1221	173	12	the	the	DET
cana-1221	173	13	weights	weight	NOUN
cana-1221	173	14	.	.	PUNCT
cana-1221	174	1	so	so	ADV
cana-1221	174	2	for	for	ADP
cana-1221	174	3	the	the	DET
cana-1221	174	4	1st	1st	ADJ
cana-1221	174	5	round	round	NOUN
cana-1221	174	6	of	of	ADP
cana-1221	174	7	training	training	NOUN
cana-1221	174	8	,	,	PUNCT
cana-1221	174	9	only	only	ADV
cana-1221	174	10	those	those	DET
cana-1221	174	11	attributes	attribute	NOUN
cana-1221	174	12	are	be	AUX
cana-1221	174	13	retained	retain	VERB
cana-1221	174	14	for	for	ADP
cana-1221	174	15	training	train	VERB
cana-1221	174	16	the	the	DET
cana-1221	174	17	model	model	NOUN
cana-1221	174	18	whose	whose	DET
cana-1221	174	19	assigned	assign	VERB
cana-1221	174	20	weights	weight	NOUN
cana-1221	174	21	were	be	AUX
cana-1221	174	22	greater	great	ADJ
cana-1221	174	23	than	than	ADP
cana-1221	174	24	0.5	0.5	NUM
cana-1221	174	25	.	.	PUNCT
cana-1221	175	1	hence	hence	ADV
cana-1221	175	2	the	the	DET
cana-1221	175	3	chromosome	chromosome	NOUN
cana-1221	175	4	signifying	signify	VERB
cana-1221	175	5	this	this	DET
cana-1221	175	6	weighing	weighing	NOUN
cana-1221	175	7	is	be	AUX
cana-1221	175	8	generated	generate	VERB
cana-1221	175	9	with	with	ADP
cana-1221	175	10	0s	0s	NUM
cana-1221	175	11	and	and	CCONJ
cana-1221	175	12	1s	1s	NUM
cana-1221	175	13	,	,	PUNCT
cana-1221	175	14	where	where	SCONJ
cana-1221	175	15	1	1	NUM
cana-1221	175	16	represents	represent	VERB
cana-1221	175	17	the	the	DET
cana-1221	175	18	inclusion	inclusion	NOUN
cana-1221	175	19	of	of	ADP
cana-1221	175	20	the	the	DET
cana-1221	175	21	respective	respective	ADJ
cana-1221	175	22	attribute	attribute	NOUN
cana-1221	175	23	for	for	ADP
cana-1221	175	24	training	training	NOUN
cana-1221	175	25	as	as	SCONJ
cana-1221	175	26	the	the	DET
cana-1221	175	27	associated	associated	ADJ
cana-1221	175	28	weight	weight	NOUN
cana-1221	175	29	generated	generate	VERB
cana-1221	175	30	in	in	ADP
cana-1221	175	31	the	the	DET
cana-1221	175	32	specific	specific	ADJ
cana-1221	175	33	iteration	iteration	NOUN
cana-1221	175	34	was	be	AUX
cana-1221	175	35	greater	great	ADJ
cana-1221	175	36	than	than	ADP
cana-1221	175	37	the	the	DET
cana-1221	175	38	threshold	threshold	NOUN
cana-1221	175	39	limit	limit	NOUN
cana-1221	175	40	of	of	ADP
cana-1221	175	41	0.5	0.5	NUM
cana-1221	175	42	.	.	PUNCT
cana-1221	176	1	hence	hence	ADV
cana-1221	176	2	,	,	PUNCT
cana-1221	176	3	the	the	DET
cana-1221	176	4	model	model	NOUN
cana-1221	176	5	is	be	AUX
cana-1221	176	6	trained	train	VERB
cana-1221	176	7	with	with	ADP
cana-1221	176	8	the	the	DET
cana-1221	176	9	weighted	weight	VERB
cana-1221	176	10	chromosomes	chromosome	NOUN
cana-1221	176	11	.	.	PUNCT
cana-1221	177	1	the	the	DET
cana-1221	177	2	gradient	gradient	NOUN
cana-1221	177	3	boosted	boost	VERB
cana-1221	177	4	decision	decision	NOUN
cana-1221	177	5	tree	tree	NOUN
cana-1221	177	6	model	model	NOUN
cana-1221	177	7	was	be	AUX
cana-1221	177	8	trained	train	VERB
cana-1221	177	9	using	use	VERB
cana-1221	177	10	a	a	DET
cana-1221	177	11	10	10	NUM
cana-1221	177	12	-	-	ADJ
cana-1221	177	13	fold	fold	ADJ
cana-1221	177	14	crossvalidation	crossvalidation	NOUN
cana-1221	177	15	approach	approach	NOUN
cana-1221	177	16	,	,	PUNCT
cana-1221	177	17	and	and	CCONJ
cana-1221	177	18	the	the	DET
cana-1221	177	19	accuracy	accuracy	NOUN
cana-1221	177	20	performance	performance	NOUN
cana-1221	177	21	metric	metric	NOUN
cana-1221	177	22	was	be	AUX
cana-1221	177	23	utilized	utilize	VERB
cana-1221	177	24	to	to	PART
cana-1221	177	25	define	define	VERB
cana-1221	177	26	the	the	DET
cana-1221	177	27	fitness	fitness	NOUN
cana-1221	177	28	of	of	ADP
cana-1221	177	29	the	the	DET
cana-1221	177	30	chromosome	chromosome	NOUN
cana-1221	177	31	.	.	PUNCT
cana-1221	178	1	at	at	ADP
cana-1221	178	2	the	the	DET
cana-1221	178	3	conclusion	conclusion	NOUN
cana-1221	178	4	of	of	ADP
cana-1221	178	5	each	each	DET
cana-1221	178	6	iteration	iteration	NOUN
cana-1221	178	7	,	,	PUNCT
cana-1221	178	8	termination	termination	NOUN
cana-1221	178	9	conditions	condition	NOUN
cana-1221	178	10	were	be	AUX
cana-1221	178	11	examined	examine	VERB
cana-1221	178	12	.	.	PUNCT
cana-1221	179	1	the	the	DET
cana-1221	179	2	training	training	NOUN
cana-1221	179	3	was	be	AUX
cana-1221	179	4	stopped	stop	VERB
cana-1221	179	5	if	if	SCONJ
cana-1221	179	6	either	either	CCONJ
cana-1221	179	7	the	the	DET
cana-1221	179	8	objective	objective	ADJ
cana-1221	179	9	function	function	NOUN
cana-1221	179	10	converged	converge	VERB
cana-1221	179	11	or	or	CCONJ
cana-1221	179	12	a	a	DET
cana-1221	179	13	fixed	fix	VERB
cana-1221	179	14	number	number	NOUN
cana-1221	179	15	of	of	ADP
cana-1221	179	16	iterations	iteration	NOUN
cana-1221	179	17	were	be	AUX
cana-1221	179	18	completed	complete	VERB
cana-1221	179	19	.	.	PUNCT
cana-1221	180	1	the	the	DET
cana-1221	180	2	training	training	NOUN
cana-1221	180	3	is	be	AUX
cana-1221	180	4	identified	identify	VERB
cana-1221	180	5	to	to	PART
cana-1221	180	6	have	have	AUX
cana-1221	180	7	converged	converge	VERB
cana-1221	180	8	if	if	SCONJ
cana-1221	180	9	a	a	DET
cana-1221	180	10	majority	majority	NOUN
cana-1221	180	11	of	of	ADP
cana-1221	180	12	chromosome	chromosome	NOUN
cana-1221	180	13	in	in	ADP
cana-1221	180	14	the	the	DET
cana-1221	180	15	population	population	NOUN
cana-1221	180	16	has	have	AUX
cana-1221	180	17	reached	reach	VERB
cana-1221	180	18	similar	similar	ADJ
cana-1221	180	19	levels	level	NOUN
cana-1221	180	20	of	of	ADP
cana-1221	180	21	fitness	fitness	NOUN
cana-1221	180	22	indicating	indicate	VERB
cana-1221	180	23	deduction	deduction	NOUN
cana-1221	180	24	of	of	ADP
cana-1221	180	25	an	an	DET
cana-1221	180	26	optimal	optimal	ADJ
cana-1221	180	27	set	set	NOUN
cana-1221	180	28	of	of	ADP
cana-1221	180	29	features	feature	NOUN
cana-1221	180	30	thus	thus	ADV
cana-1221	180	31	justifying	justify	VERB
cana-1221	180	32	halting	halt	VERB
cana-1221	180	33	the	the	DET
cana-1221	180	34	iterations	iteration	NOUN
cana-1221	180	35	.	.	PUNCT
cana-1221	181	1	since	since	SCONJ
cana-1221	181	2	convergence	convergence	NOUN
cana-1221	181	3	criteria	criterion	NOUN
cana-1221	181	4	may	may	AUX
cana-1221	181	5	never	never	ADV
cana-1221	181	6	be	be	AUX
cana-1221	181	7	met	meet	VERB
cana-1221	181	8	,	,	PUNCT
cana-1221	181	9	an	an	DET
cana-1221	181	10	upper	upper	ADJ
cana-1221	181	11	limit	limit	NOUN
cana-1221	181	12	on	on	ADP
cana-1221	181	13	the	the	DET
cana-1221	181	14	number	number	NOUN
cana-1221	181	15	of	of	ADP
cana-1221	181	16	iterations	iteration	NOUN
cana-1221	181	17	is	be	AUX
cana-1221	181	18	placed	place	VERB
cana-1221	181	19	such	such	ADJ
cana-1221	181	20	as	as	ADP
cana-1221	181	21	50	50	NUM
cana-1221	181	22	iterations	iteration	NOUN
cana-1221	181	23	.	.	PUNCT
cana-1221	182	1	however	however	ADV
cana-1221	182	2	,	,	PUNCT
cana-1221	182	3	if	if	SCONJ
cana-1221	182	4	the	the	DET
cana-1221	182	5	convergence	convergence	NOUN
cana-1221	182	6	does	do	AUX
cana-1221	182	7	happen	happen	VERB
cana-1221	182	8	before	before	ADP
cana-1221	182	9	the	the	DET
cana-1221	182	10	completion	completion	NOUN
cana-1221	182	11	of	of	ADP
cana-1221	182	12	the	the	DET
cana-1221	182	13	requisite	requisite	ADJ
cana-1221	182	14	number	number	NOUN
cana-1221	182	15	of	of	ADP
cana-1221	182	16	iterations	iteration	NOUN
cana-1221	182	17	,	,	PUNCT
cana-1221	182	18	the	the	DET
cana-1221	182	19	training	training	NOUN
cana-1221	182	20	is	be	AUX
cana-1221	182	21	preemptively	preemptively	ADV
cana-1221	182	22	halted	halt	VERB
cana-1221	182	23	.	.	PUNCT
cana-1221	183	1	if	if	SCONJ
cana-1221	183	2	neither	neither	CCONJ
cana-1221	183	3	the	the	DET
cana-1221	183	4	convergence	convergence	NOUN
cana-1221	183	5	was	be	AUX
cana-1221	183	6	achieved	achieve	VERB
cana-1221	183	7	nor	nor	CCONJ
cana-1221	183	8	the	the	DET
cana-1221	183	9	number	number	NOUN
cana-1221	183	10	of	of	ADP
cana-1221	183	11	iteration	iteration	NOUN
cana-1221	183	12	exceeded	exceed	VERB
cana-1221	183	13	the	the	DET
cana-1221	183	14	upper	upper	ADJ
cana-1221	183	15	limit	limit	NOUN
cana-1221	183	16	,	,	PUNCT
cana-1221	183	17	then	then	ADV
cana-1221	183	18	in	in	ADP
cana-1221	183	19	that	that	DET
cana-1221	183	20	case	case	NOUN
cana-1221	183	21	,	,	PUNCT
cana-1221	183	22	the	the	DET
cana-1221	183	23	next	next	ADJ
cana-1221	183	24	chromosome	chromosome	NOUN
cana-1221	183	25	population	population	NOUN
cana-1221	183	26	is	be	AUX
cana-1221	183	27	communications	communication	NOUN
cana-1221	183	28	on	on	ADP
cana-1221	183	29	applied	apply	VERB
cana-1221	183	30	nonlinear	nonlinear	ADJ
cana-1221	183	31	analysis	analysis	NOUN
cana-1221	183	32	issn	issn	NOUN
cana-1221	183	33	:	:	PUNCT
cana-1221	183	34	1074	1074	NUM
cana-1221	183	35	-	-	PUNCT
cana-1221	183	36	133x	133x	NUM
cana-1221	183	37	vol	vol	NOUN
cana-1221	183	38	31	31	NUM
cana-1221	183	39	no	no	NOUN
cana-1221	183	40	.	.	PUNCT
cana-1221	184	1	6s	6s	NUM
cana-1221	184	2	(	(	PUNCT
cana-1221	184	3	2024	2024	NUM
cana-1221	184	4	)	)	PUNCT
cana-1221	184	5	277	277	NUM
cana-1221	184	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1221	184	7	generated	generate	VERB
cana-1221	184	8	via	via	ADP
cana-1221	184	9	the	the	DET
cana-1221	184	10	processes	process	NOUN
cana-1221	184	11	of	of	ADP
cana-1221	184	12	mutation	mutation	NOUN
cana-1221	184	13	,	,	PUNCT
cana-1221	184	14	cross	cross	VERB
cana-1221	184	15	over	over	ADP
cana-1221	184	16	and	and	CCONJ
cana-1221	184	17	tournament	tournament	NOUN
cana-1221	184	18	selection	selection	NOUN
cana-1221	184	19	over	over	ADP
cana-1221	184	20	the	the	DET
cana-1221	184	21	previous	previous	ADJ
cana-1221	184	22	populations	population	NOUN
cana-1221	184	23	.	.	PUNCT
cana-1221	185	1	for	for	ADP
cana-1221	185	2	this	this	DET
cana-1221	185	3	purpose	purpose	NOUN
cana-1221	185	4	,	,	PUNCT
cana-1221	185	5	a	a	DET
cana-1221	185	6	subset	subset	ADJ
cana-1221	185	7	population	population	NOUN
cana-1221	185	8	that	that	PRON
cana-1221	185	9	is	be	AUX
cana-1221	185	10	one	one	NUM
cana-1221	185	11	-	-	PUNCT
cana-1221	185	12	fourth	fourth	NOUN
cana-1221	185	13	the	the	DET
cana-1221	185	14	size	size	NOUN
cana-1221	185	15	of	of	ADP
cana-1221	185	16	the	the	DET
cana-1221	185	17	original	original	ADJ
cana-1221	185	18	population	population	NOUN
cana-1221	185	19	is	be	AUX
cana-1221	185	20	created	create	VERB
cana-1221	185	21	from	from	ADP
cana-1221	185	22	the	the	DET
cana-1221	185	23	initial	initial	ADJ
cana-1221	185	24	population	population	NOUN
cana-1221	185	25	.	.	PUNCT
cana-1221	186	1	the	the	DET
cana-1221	186	2	chromosomes	chromosome	NOUN
cana-1221	186	3	within	within	ADP
cana-1221	186	4	this	this	DET
cana-1221	186	5	subset	subset	ADJ
cana-1221	186	6	population	population	NOUN
cana-1221	186	7	are	be	AUX
cana-1221	186	8	compared	compare	VERB
cana-1221	186	9	to	to	ADP
cana-1221	186	10	each	each	DET
cana-1221	186	11	other	other	ADJ
cana-1221	186	12	through	through	ADP
cana-1221	186	13	various	various	ADJ
cana-1221	186	14	fitness	fitness	NOUN
cana-1221	186	15	comparisons	comparison	NOUN
cana-1221	186	16	tournaments	tournament	NOUN
cana-1221	186	17	,	,	PUNCT
cana-1221	186	18	and	and	CCONJ
cana-1221	186	19	the	the	DET
cana-1221	186	20	victor	victor	NOUN
cana-1221	186	21	of	of	ADP
cana-1221	186	22	each	each	DET
cana-1221	186	23	tournament	tournament	NOUN
cana-1221	186	24	is	be	AUX
cana-1221	186	25	chosen	choose	VERB
cana-1221	186	26	.	.	PUNCT
cana-1221	187	1	selection	selection	NOUN
cana-1221	187	2	and	and	CCONJ
cana-1221	187	3	de	de	NOUN
cana-1221	187	4	-	-	NOUN
cana-1221	187	5	selection	selection	NOUN
cana-1221	187	6	of	of	ADP
cana-1221	187	7	the	the	DET
cana-1221	187	8	certain	certain	ADJ
cana-1221	187	9	features	feature	NOUN
cana-1221	187	10	randomly	randomly	ADV
cana-1221	187	11	is	be	AUX
cana-1221	187	12	referred	refer	VERB
cana-1221	187	13	to	to	ADP
cana-1221	187	14	as	as	ADP
cana-1221	187	15	mutation	mutation	NOUN
cana-1221	187	16	while	while	SCONJ
cana-1221	187	17	an	an	DET
cana-1221	187	18	interchange	interchange	NOUN
cana-1221	187	19	among	among	ADP
cana-1221	187	20	the	the	DET
cana-1221	187	21	features	feature	NOUN
cana-1221	187	22	from	from	ADP
cana-1221	187	23	2	2	NUM
cana-1221	187	24	chromosomes	chromosome	NOUN
cana-1221	187	25	is	be	AUX
cana-1221	187	26	called	call	VERB
cana-1221	187	27	crossover	crossover	ADV
cana-1221	187	28	.	.	PUNCT
cana-1221	188	1	its	its	PRON
cana-1221	188	2	through	through	ADP
cana-1221	188	3	three	three	NUM
cana-1221	188	4	procedures	procedure	NOUN
cana-1221	188	5	that	that	PRON
cana-1221	188	6	a	a	DET
cana-1221	188	7	new	new	ADJ
cana-1221	188	8	population	population	NOUN
cana-1221	188	9	of	of	ADP
cana-1221	188	10	chromosomes	chromosome	NOUN
cana-1221	188	11	is	be	AUX
cana-1221	188	12	generated	generate	VERB
cana-1221	188	13	.	.	PUNCT
cana-1221	189	1	the	the	DET
cana-1221	189	2	termination	termination	NOUN
cana-1221	189	3	criteria	criterion	NOUN
cana-1221	189	4	are	be	AUX
cana-1221	189	5	checked	check	VERB
cana-1221	189	6	after	after	ADP
cana-1221	189	7	every	every	DET
cana-1221	189	8	iteration	iteration	NOUN
cana-1221	189	9	for	for	SCONJ
cana-1221	189	10	the	the	DET
cana-1221	189	11	training	training	NOUN
cana-1221	189	12	to	to	PART
cana-1221	189	13	be	be	AUX
cana-1221	189	14	halted	halt	VERB
cana-1221	189	15	.	.	PUNCT
cana-1221	190	1	4	4	X
cana-1221	190	2	.	.	X
cana-1221	190	3	result	result	NOUN
cana-1221	190	4	and	and	CCONJ
cana-1221	190	5	discussion	discussion	VERB
cana-1221	190	6	the	the	DET
cana-1221	190	7	performance	performance	NOUN
cana-1221	190	8	evaluation	evaluation	NOUN
cana-1221	190	9	of	of	ADP
cana-1221	190	10	the	the	DET
cana-1221	190	11	water	water	NOUN
cana-1221	190	12	mapping	mapping	NOUN
cana-1221	190	13	ensemble	ensemble	ADJ
cana-1221	190	14	model	model	NOUN
cana-1221	190	15	involves	involve	VERB
cana-1221	190	16	assessing	assess	VERB
cana-1221	190	17	its	its	PRON
cana-1221	190	18	predictive	predictive	ADJ
cana-1221	190	19	accuracy	accuracy	NOUN
cana-1221	190	20	and	and	CCONJ
cana-1221	190	21	effectiveness	effectiveness	NOUN
cana-1221	190	22	through	through	ADP
cana-1221	190	23	a	a	DET
cana-1221	190	24	set	set	NOUN
cana-1221	190	25	of	of	ADP
cana-1221	190	26	key	key	ADJ
cana-1221	190	27	metrics	metric	NOUN
cana-1221	190	28	.	.	PUNCT
cana-1221	191	1	accuracy	accuracy	NOUN
cana-1221	191	2	,	,	PUNCT
cana-1221	191	3	precision	precision	NOUN
cana-1221	191	4	,	,	PUNCT
cana-1221	191	5	and	and	CCONJ
cana-1221	191	6	recall	recall	NOUN
cana-1221	191	7	are	be	AUX
cana-1221	191	8	fundamental	fundamental	ADJ
cana-1221	191	9	performance	performance	NOUN
cana-1221	191	10	metrics	metric	NOUN
cana-1221	191	11	used	use	VERB
cana-1221	191	12	to	to	PART
cana-1221	191	13	assess	assess	VERB
cana-1221	191	14	the	the	DET
cana-1221	191	15	effectiveness	effectiveness	NOUN
cana-1221	191	16	of	of	ADP
cana-1221	191	17	predictive	predictive	ADJ
cana-1221	191	18	models	model	NOUN
cana-1221	191	19	across	across	ADP
cana-1221	191	20	various	various	ADJ
cana-1221	191	21	domains	domain	NOUN
cana-1221	191	22	.	.	PUNCT
cana-1221	192	1	in	in	ADP
cana-1221	192	2	the	the	DET
cana-1221	192	3	context	context	NOUN
cana-1221	192	4	of	of	ADP
cana-1221	192	5	water	water	NOUN
cana-1221	192	6	mapping	mapping	NOUN
cana-1221	192	7	,	,	PUNCT
cana-1221	192	8	accuracy	accuracy	NOUN
cana-1221	192	9	,	,	PUNCT
cana-1221	192	10	precision	precision	NOUN
cana-1221	192	11	,	,	PUNCT
cana-1221	192	12	and	and	CCONJ
cana-1221	192	13	recall	recall	AUX
cana-1221	192	14	play	play	VERB
cana-1221	192	15	pivotal	pivotal	ADJ
cana-1221	192	16	roles	role	NOUN
cana-1221	192	17	in	in	ADP
cana-1221	192	18	assessing	assess	VERB
cana-1221	192	19	the	the	DET
cana-1221	192	20	effectiveness	effectiveness	NOUN
cana-1221	192	21	of	of	ADP
cana-1221	192	22	predictive	predictive	ADJ
cana-1221	192	23	models	model	NOUN
cana-1221	192	24	.	.	PUNCT
cana-1221	193	1	accuracy	accuracy	NOUN
cana-1221	193	2	serves	serve	VERB
cana-1221	193	3	as	as	ADP
cana-1221	193	4	a	a	DET
cana-1221	193	5	comprehensive	comprehensive	ADJ
cana-1221	193	6	metric	metric	NOUN
cana-1221	193	7	,	,	PUNCT
cana-1221	193	8	quantifying	quantify	VERB
cana-1221	193	9	the	the	DET
cana-1221	193	10	correctness	correctness	NOUN
cana-1221	193	11	of	of	ADP
cana-1221	193	12	predictions	prediction	NOUN
cana-1221	193	13	by	by	ADP
cana-1221	193	14	determining	determine	VERB
cana-1221	193	15	the	the	DET
cana-1221	193	16	ratio	ratio	NOUN
cana-1221	193	17	of	of	ADP
cana-1221	193	18	accurately	accurately	ADV
cana-1221	193	19	predicted	predict	VERB
cana-1221	193	20	instances	instance	NOUN
cana-1221	193	21	to	to	ADP
cana-1221	193	22	the	the	DET
cana-1221	193	23	total	total	ADJ
cana-1221	193	24	instances	instance	NOUN
cana-1221	193	25	.	.	PUNCT
cana-1221	194	1	while	while	SCONJ
cana-1221	194	2	accuracy	accuracy	NOUN
cana-1221	194	3	provides	provide	VERB
cana-1221	194	4	a	a	DET
cana-1221	194	5	holistic	holistic	ADJ
cana-1221	194	6	view	view	NOUN
cana-1221	194	7	of	of	ADP
cana-1221	194	8	a	a	DET
cana-1221	194	9	model	model	NOUN
cana-1221	194	10	's	's	PART
cana-1221	194	11	performance	performance	NOUN
cana-1221	194	12	,	,	PUNCT
cana-1221	194	13	its	its	PRON
cana-1221	194	14	reliability	reliability	NOUN
cana-1221	194	15	diminishes	diminish	VERB
cana-1221	194	16	in	in	ADP
cana-1221	194	17	imbalanced	imbalanced	ADJ
cana-1221	194	18	datasets	dataset	NOUN
cana-1221	194	19	,	,	PUNCT
cana-1221	194	20	where	where	SCONJ
cana-1221	194	21	one	one	NUM
cana-1221	194	22	class	class	NOUN
cana-1221	194	23	dominates	dominate	VERB
cana-1221	194	24	the	the	DET
cana-1221	194	25	distribution	distribution	NOUN
cana-1221	194	26	.	.	PUNCT
cana-1221	195	1	precision	precision	NOUN
cana-1221	195	2	,	,	PUNCT
cana-1221	195	3	however	however	ADV
cana-1221	195	4	,	,	PUNCT
cana-1221	195	5	takes	take	VERB
cana-1221	195	6	a	a	DET
cana-1221	195	7	more	more	ADV
cana-1221	195	8	focused	focused	ADJ
cana-1221	195	9	approach	approach	NOUN
cana-1221	195	10	,	,	PUNCT
cana-1221	195	11	concentrating	concentrate	VERB
cana-1221	195	12	on	on	ADP
cana-1221	195	13	the	the	DET
cana-1221	195	14	accuracy	accuracy	NOUN
cana-1221	195	15	of	of	ADP
cana-1221	195	16	positive	positive	ADJ
cana-1221	195	17	predictions	prediction	NOUN
cana-1221	195	18	.	.	PUNCT
cana-1221	196	1	for	for	ADP
cana-1221	196	2	water	water	NOUN
cana-1221	196	3	mapping	mapping	NOUN
cana-1221	196	4	,	,	PUNCT
cana-1221	196	5	precision	precision	NOUN
cana-1221	196	6	is	be	AUX
cana-1221	196	7	critical	critical	ADJ
cana-1221	196	8	in	in	ADP
cana-1221	196	9	situations	situation	NOUN
cana-1221	196	10	where	where	SCONJ
cana-1221	196	11	false	false	ADJ
cana-1221	196	12	positives	positive	NOUN
cana-1221	196	13	,	,	PUNCT
cana-1221	196	14	indicating	indicate	VERB
cana-1221	196	15	the	the	DET
cana-1221	196	16	presence	presence	NOUN
cana-1221	196	17	of	of	ADP
cana-1221	196	18	water	water	NOUN
cana-1221	196	19	potential	potential	NOUN
cana-1221	196	20	,	,	PUNCT
cana-1221	196	21	can	can	AUX
cana-1221	196	22	have	have	VERB
cana-1221	196	23	significant	significant	ADJ
cana-1221	196	24	consequences	consequence	NOUN
cana-1221	196	25	,	,	PUNCT
cana-1221	196	26	influencing	influence	VERB
cana-1221	196	27	decisions	decision	NOUN
cana-1221	196	28	related	relate	VERB
cana-1221	196	29	to	to	ADP
cana-1221	196	30	resource	resource	NOUN
cana-1221	196	31	management	management	NOUN
cana-1221	196	32	or	or	CCONJ
cana-1221	196	33	environmental	environmental	ADJ
cana-1221	196	34	planning	planning	NOUN
cana-1221	196	35	.	.	PUNCT
cana-1221	197	1	recall	recall	NOUN
cana-1221	197	2	,	,	PUNCT
cana-1221	197	3	or	or	CCONJ
cana-1221	197	4	the	the	DET
cana-1221	197	5	true	true	ADJ
cana-1221	197	6	positive	positive	ADJ
cana-1221	197	7	rate	rate	NOUN
cana-1221	197	8	,	,	PUNCT
cana-1221	197	9	gauges	gauge	VERB
cana-1221	197	10	the	the	DET
cana-1221	197	11	model	model	NOUN
cana-1221	197	12	's	's	PART
cana-1221	197	13	capacity	capacity	NOUN
cana-1221	197	14	to	to	PART
cana-1221	197	15	identify	identify	VERB
cana-1221	197	16	all	all	DET
cana-1221	197	17	relevant	relevant	ADJ
cana-1221	197	18	instances	instance	NOUN
cana-1221	197	19	of	of	ADP
cana-1221	197	20	water	water	NOUN
cana-1221	197	21	potential	potential	NOUN
cana-1221	197	22	.	.	PUNCT
cana-1221	198	1	calculated	calculate	VERB
cana-1221	198	2	as	as	ADP
cana-1221	198	3	the	the	DET
cana-1221	198	4	ratio	ratio	NOUN
cana-1221	198	5	of	of	ADP
cana-1221	198	6	true	true	ADJ
cana-1221	198	7	positives	positive	NOUN
cana-1221	198	8	to	to	ADP
cana-1221	198	9	the	the	DET
cana-1221	198	10	sum	sum	NOUN
cana-1221	198	11	of	of	ADP
cana-1221	198	12	true	true	ADJ
cana-1221	198	13	positives	positive	NOUN
cana-1221	198	14	and	and	CCONJ
cana-1221	198	15	false	false	ADJ
cana-1221	198	16	negatives	negative	NOUN
cana-1221	198	17	,	,	PUNCT
cana-1221	198	18	recall	recall	NOUN
cana-1221	198	19	becomes	become	VERB
cana-1221	198	20	crucial	crucial	ADJ
cana-1221	198	21	in	in	ADP
cana-1221	198	22	scenarios	scenario	NOUN
cana-1221	198	23	where	where	SCONJ
cana-1221	198	24	missing	miss	VERB
cana-1221	198	25	positive	positive	ADJ
cana-1221	198	26	instances	instance	NOUN
cana-1221	198	27	,	,	PUNCT
cana-1221	198	28	such	such	ADJ
cana-1221	198	29	as	as	ADP
cana-1221	198	30	accurately	accurately	ADV
cana-1221	198	31	identifying	identify	VERB
cana-1221	198	32	areas	area	NOUN
cana-1221	198	33	with	with	ADP
cana-1221	198	34	water	water	NOUN
cana-1221	198	35	potential	potential	NOUN
cana-1221	198	36	,	,	PUNCT
cana-1221	198	37	bears	bear	VERB
cana-1221	198	38	a	a	DET
cana-1221	198	39	high	high	ADJ
cana-1221	198	40	cost	cost	NOUN
cana-1221	198	41	.	.	PUNCT
cana-1221	199	1	this	this	PRON
cana-1221	199	2	is	be	AUX
cana-1221	199	3	particularly	particularly	ADV
cana-1221	199	4	important	important	ADJ
cana-1221	199	5	in	in	ADP
cana-1221	199	6	applications	application	NOUN
cana-1221	199	7	like	like	ADP
cana-1221	199	8	water	water	NOUN
cana-1221	199	9	resource	resource	NOUN
cana-1221	199	10	management	management	NOUN
cana-1221	199	11	and	and	CCONJ
cana-1221	199	12	environmental	environmental	ADJ
cana-1221	199	13	sustainability	sustainability	NOUN
cana-1221	199	14	,	,	PUNCT
cana-1221	199	15	where	where	SCONJ
cana-1221	199	16	accurate	accurate	ADJ
cana-1221	199	17	identification	identification	NOUN
cana-1221	199	18	of	of	ADP
cana-1221	199	19	potential	potential	ADJ
cana-1221	199	20	water	water	NOUN
cana-1221	199	21	areas	area	NOUN
cana-1221	199	22	is	be	AUX
cana-1221	199	23	paramount	paramount	ADJ
cana-1221	199	24	for	for	ADP
cana-1221	199	25	effective	effective	ADJ
cana-1221	199	26	decision	decision	NOUN
cana-1221	199	27	-	-	PUNCT
cana-1221	199	28	making	making	NOUN
cana-1221	199	29	.	.	PUNCT
cana-1221	200	1	table	table	NOUN
cana-1221	200	2	1	1	NUM
cana-1221	200	3	.	.	PUNCT
cana-1221	201	1	performance	performance	NOUN
cana-1221	201	2	comparison	comparison	NOUN
cana-1221	201	3	of	of	ADP
cana-1221	201	4	accuracy	accuracy	NOUN
cana-1221	201	5	,	,	PUNCT
cana-1221	201	6	precision	precision	NOUN
cana-1221	201	7	,	,	PUNCT
cana-1221	201	8	and	and	CCONJ
cana-1221	201	9	recall	recall	NOUN
cana-1221	201	10	algorithm	algorithm	NOUN
cana-1221	201	11	100	100	NUM
cana-1221	201	12	200	200	NUM
cana-1221	201	13	300	300	NUM
cana-1221	201	14	400	400	NUM
cana-1221	201	15	500	500	NUM
cana-1221	201	16	accuracy	accuracy	NOUN
cana-1221	201	17	ann	ann	PROPN
cana-1221	201	18	96.5	96.5	NUM
cana-1221	201	19	97	97	NUM
cana-1221	201	20	97.5	97.5	NUM
cana-1221	201	21	97.8	97.8	NUM
cana-1221	201	22	98	98	NUM
cana-1221	201	23	rf	rf	NOUN
cana-1221	201	24	95.2	95.2	NUM
cana-1221	201	25	96	96	NUM
cana-1221	201	26	96.5	96.5	NUM
cana-1221	201	27	97	97	NUM
cana-1221	201	28	97.5	97.5	NUM
cana-1221	201	29	xgboost	xgboost	ADV
cana-1221	202	1	93.8	93.8	NUM
cana-1221	202	2	94.5	94.5	NUM
cana-1221	202	3	95	95	NUM
cana-1221	202	4	95.5	95.5	NUM
cana-1221	202	5	96	96	NUM
cana-1221	202	6	ensembleml	ensembleml	NOUN
cana-1221	202	7	97	97	NUM
cana-1221	202	8	97.5	97.5	NUM
cana-1221	202	9	98.1	98.1	NUM
cana-1221	202	10	98.3	98.3	NUM
cana-1221	202	11	98.5	98.5	NUM
cana-1221	202	12	precision	precision	NOUN
cana-1221	202	13	ann	ann	PROPN
cana-1221	202	14	82	82	NUM
cana-1221	202	15	83.5	83.5	NUM
cana-1221	202	16	84	84	NUM
cana-1221	202	17	85	85	NUM
cana-1221	202	18	86	86	NUM
cana-1221	202	19	rf	rf	NUM
cana-1221	202	20	85.5	85.5	NUM
cana-1221	202	21	86	86	NUM
cana-1221	202	22	87	87	NUM
cana-1221	202	23	88	88	NUM
cana-1221	202	24	89	89	NUM
cana-1221	202	25	xgboost	xgboost	NOUN
cana-1221	202	26	88	88	NUM
cana-1221	202	27	88.5	88.5	NUM
cana-1221	202	28	89	89	NUM
cana-1221	202	29	89.5	89.5	NUM
cana-1221	202	30	90	90	NUM
cana-1221	202	31	ensembleml	ensembleml	NOUN
cana-1221	202	32	84	84	NUM
cana-1221	202	33	86	86	NUM
cana-1221	202	34	89	89	NUM
cana-1221	202	35	90	90	NUM
cana-1221	202	36	90.4	90.4	NUM
cana-1221	202	37	recall	recall	NOUN
cana-1221	202	38	ann	ann	PROPN
cana-1221	202	39	88	88	NUM
cana-1221	202	40	88.5	88.5	NUM
cana-1221	202	41	89	89	NUM
cana-1221	202	42	89.5	89.5	NUM
cana-1221	202	43	90	90	NUM
cana-1221	202	44	rf	rf	NUM
cana-1221	202	45	87.2	87.2	NUM
cana-1221	202	46	87.5	87.5	NUM
cana-1221	202	47	88	88	NUM
cana-1221	202	48	88.5	88.5	NUM
cana-1221	202	49	89	89	NUM
cana-1221	202	50	xgboost	xgboost	ADV
cana-1221	202	51	89	89	NUM
cana-1221	202	52	89.2	89.2	NUM
cana-1221	202	53	89.5	89.5	NUM
cana-1221	202	54	89.8	89.8	NUM
cana-1221	202	55	90	90	NUM
cana-1221	202	56	communications	communication	NOUN
cana-1221	202	57	on	on	ADP
cana-1221	202	58	applied	apply	VERB
cana-1221	202	59	nonlinear	nonlinear	ADJ
cana-1221	202	60	analysis	analysis	NOUN
cana-1221	202	61	issn	issn	NOUN
cana-1221	202	62	:	:	PUNCT
cana-1221	202	63	1074	1074	NUM
cana-1221	202	64	-	-	PUNCT
cana-1221	202	65	133x	133x	NUM
cana-1221	202	66	vol	vol	NOUN
cana-1221	202	67	31	31	NUM
cana-1221	202	68	no	no	NOUN
cana-1221	202	69	.	.	PUNCT
cana-1221	203	1	6s	6s	NUM
cana-1221	203	2	(	(	PUNCT
cana-1221	203	3	2024	2024	NUM
cana-1221	203	4	)	)	PUNCT
cana-1221	203	5	278	278	NUM
cana-1221	203	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1221	203	7	ensembleml	ensembleml	NOUN
cana-1221	203	8	89	89	NUM
cana-1221	203	9	89.7	89.7	NUM
cana-1221	203	10	90.98	90.98	NUM
cana-1221	203	11	91.21	91.21	NUM
cana-1221	203	12	92	92	NUM
cana-1221	203	13	figure	figure	NOUN
cana-1221	203	14	2	2	NUM
cana-1221	203	15	.	.	PUNCT
cana-1221	203	16	comparison	comparison	NOUN
cana-1221	203	17	of	of	ADP
cana-1221	203	18	accuracy	accuracy	NOUN
cana-1221	203	19	figure	figure	NOUN
cana-1221	203	20	3	3	NUM
cana-1221	203	21	.	.	NOUN
cana-1221	203	22	comparison	comparison	NOUN
cana-1221	203	23	of	of	ADP
cana-1221	203	24	precision	precision	NOUN
cana-1221	203	25	figure	figure	NOUN
cana-1221	203	26	4	4	NUM
cana-1221	203	27	.	.	PUNCT
cana-1221	203	28	comparison	comparison	NOUN
cana-1221	203	29	of	of	ADP
cana-1221	203	30	recall	recall	VERB
cana-1221	203	31	the	the	DET
cana-1221	203	32	performance	performance	NOUN
cana-1221	203	33	metrics	metric	NOUN
cana-1221	203	34	for	for	ADP
cana-1221	203	35	accuracy	accuracy	NOUN
cana-1221	203	36	,	,	PUNCT
cana-1221	203	37	precision	precision	NOUN
cana-1221	203	38	,	,	PUNCT
cana-1221	203	39	and	and	CCONJ
cana-1221	203	40	recall	recall	VERB
cana-1221	203	41	across	across	ADP
cana-1221	203	42	different	different	ADJ
cana-1221	203	43	algorithms	algorithm	NOUN
cana-1221	203	44	—	—	PUNCT
cana-1221	203	45	artificial	artificial	ADJ
cana-1221	203	46	neural	neural	ADJ
cana-1221	203	47	network	network	NOUN
cana-1221	203	48	(	(	PUNCT
cana-1221	203	49	ann	ann	PROPN
cana-1221	203	50	)	)	PUNCT
cana-1221	203	51	,	,	PUNCT
cana-1221	203	52	random	random	ADJ
cana-1221	203	53	forest	forest	NOUN
cana-1221	203	54	(	(	PUNCT
cana-1221	203	55	rf	rf	NOUN
cana-1221	203	56	)	)	PUNCT
cana-1221	203	57	,	,	PUNCT
cana-1221	203	58	xgboost	xgboost	ADV
cana-1221	203	59	,	,	PUNCT
cana-1221	203	60	and	and	CCONJ
cana-1221	203	61	ensembleml	ensembleml	ADJ
cana-1221	203	62	—	—	PUNCT
cana-1221	203	63	reveal	reveal	VERB
cana-1221	203	64	insightful	insightful	ADJ
cana-1221	203	65	trends	trend	NOUN
cana-1221	203	66	.	.	PUNCT
cana-1221	204	1	the	the	DET
cana-1221	204	2	ann	ann	PROPN
cana-1221	204	3	displays	display	VERB
cana-1221	204	4	a	a	DET
cana-1221	204	5	consistent	consistent	ADJ
cana-1221	204	6	increase	increase	NOUN
cana-1221	204	7	in	in	ADP
cana-1221	204	8	accuracy	accuracy	NOUN
cana-1221	204	9	,	,	PUNCT
cana-1221	204	10	ranging	range	VERB
cana-1221	204	11	from	from	ADP
cana-1221	204	12	96.5	96.5	NUM
cana-1221	204	13	%	%	NOUN
cana-1221	204	14	to	to	ADP
cana-1221	204	15	98	98	NUM
cana-1221	204	16	%	%	NOUN
cana-1221	204	17	,	,	PUNCT
cana-1221	204	18	showcasing	showcase	VERB
cana-1221	204	19	its	its	PRON
cana-1221	204	20	robust	robust	ADJ
cana-1221	204	21	learning	learning	NOUN
cana-1221	204	22	capabilities	capability	NOUN
cana-1221	204	23	.	.	PUNCT
cana-1221	205	1	random	random	ADJ
cana-1221	205	2	forest	forest	NOUN
cana-1221	205	3	demonstrates	demonstrate	VERB
cana-1221	205	4	steady	steady	ADJ
cana-1221	205	5	accuracy	accuracy	NOUN
cana-1221	205	6	improvement	improvement	NOUN
cana-1221	205	7	,	,	PUNCT
cana-1221	205	8	reaching	reach	VERB
cana-1221	205	9	97.5	97.5	NUM
cana-1221	205	10	%	%	NOUN
cana-1221	205	11	,	,	PUNCT
cana-1221	205	12	while	while	SCONJ
cana-1221	205	13	xgboost	xgboost	ADV
cana-1221	205	14	exhibits	exhibit	VERB
cana-1221	205	15	similar	similar	ADJ
cana-1221	205	16	positive	positive	ADJ
cana-1221	205	17	trends	trend	NOUN
cana-1221	205	18	,	,	PUNCT
cana-1221	205	19	achieving	achieve	VERB
cana-1221	205	20	up	up	ADP
cana-1221	205	21	to	to	PART
cana-1221	205	22	96	96	NUM
cana-1221	205	23	%	%	NOUN
cana-1221	205	24	accuracy	accuracy	NOUN
cana-1221	205	25	.	.	PUNCT
cana-1221	206	1	notably	notably	ADV
cana-1221	206	2	,	,	PUNCT
cana-1221	206	3	ensembleml	ensembleml	NOUN
cana-1221	206	4	outperforms	outperform	VERB
cana-1221	206	5	its	its	PRON
cana-1221	206	6	counterparts	counterpart	NOUN
cana-1221	206	7	,	,	PUNCT
cana-1221	206	8	achieving	achieve	VERB
cana-1221	206	9	the	the	DET
cana-1221	206	10	highest	high	ADJ
cana-1221	206	11	accuracy	accuracy	NOUN
cana-1221	206	12	at	at	ADP
cana-1221	206	13	98.5	98.5	NUM
cana-1221	206	14	%	%	NOUN
cana-1221	206	15	,	,	PUNCT
cana-1221	206	16	underscoring	underscore	VERB
cana-1221	206	17	the	the	DET
cana-1221	206	18	efficacy	efficacy	NOUN
cana-1221	206	19	of	of	ADP
cana-1221	206	20	ensemble	ensemble	ADJ
cana-1221	206	21	methods	method	NOUN
cana-1221	206	22	.	.	PUNCT
cana-1221	207	1	precision	precision	NOUN
cana-1221	207	2	,	,	PUNCT
cana-1221	207	3	reflecting	reflect	VERB
cana-1221	207	4	the	the	DET
cana-1221	207	5	ability	ability	NOUN
cana-1221	207	6	to	to	PART
cana-1221	207	7	identify	identify	VERB
cana-1221	207	8	positive	positive	ADJ
cana-1221	207	9	instances	instance	NOUN
cana-1221	207	10	correctly	correctly	ADV
cana-1221	207	11	,	,	PUNCT
cana-1221	207	12	shows	show	VERB
cana-1221	207	13	improvement	improvement	NOUN
cana-1221	207	14	across	across	ADP
cana-1221	207	15	thresholds	threshold	NOUN
cana-1221	207	16	for	for	ADP
cana-1221	207	17	all	all	DET
cana-1221	207	18	algorithms	algorithm	NOUN
cana-1221	207	19	.	.	PUNCT
cana-1221	208	1	ensembleml	ensembleml	NOUN
cana-1221	208	2	excels	excel	NOUN
cana-1221	208	3	in	in	ADP
cana-1221	208	4	precision	precision	NOUN
cana-1221	208	5	,	,	PUNCT
cana-1221	208	6	reaching	reach	VERB
cana-1221	208	7	90.4	90.4	NUM
cana-1221	208	8	%	%	NOUN
cana-1221	208	9	,	,	PUNCT
cana-1221	208	10	reinforcing	reinforce	VERB
cana-1221	208	11	the	the	DET
cana-1221	208	12	advantage	advantage	NOUN
cana-1221	208	13	of	of	ADP
cana-1221	208	14	combining	combine	VERB
cana-1221	208	15	diverse	diverse	ADJ
cana-1221	208	16	models	model	NOUN
cana-1221	208	17	.	.	PUNCT
cana-1221	209	1	in	in	ADP
cana-1221	209	2	terms	term	NOUN
cana-1221	209	3	of	of	ADP
cana-1221	209	4	recall	recall	NOUN
cana-1221	209	5	,	,	PUNCT
cana-1221	209	6	the	the	DET
cana-1221	209	7	ann	ann	PROPN
cana-1221	209	8	,	,	PUNCT
cana-1221	209	9	rf	rf	PROPN
cana-1221	209	10	,	,	PUNCT
cana-1221	209	11	and	and	CCONJ
cana-1221	209	12	xgboost	xgboost	PRON
cana-1221	209	13	exhibit	exhibit	VERB
cana-1221	209	14	incremental	incremental	ADJ
cana-1221	209	15	improvements	improvement	NOUN
cana-1221	209	16	,	,	PUNCT
cana-1221	209	17	with	with	ADP
cana-1221	209	18	ensembleml	ensembleml	NOUN
cana-1221	209	19	consistently	consistently	ADV
cana-1221	209	20	leading	lead	VERB
cana-1221	209	21	and	and	CCONJ
cana-1221	209	22	achieving	achieve	VERB
cana-1221	209	23	a	a	DET
cana-1221	209	24	peak	peak	NOUN
cana-1221	209	25	recall	recall	NOUN
cana-1221	209	26	of	of	ADP
cana-1221	209	27	92	92	NUM
cana-1221	209	28	%	%	NOUN
cana-1221	209	29	.	.	PUNCT
cana-1221	210	1	in	in	ADP
cana-1221	210	2	summary	summary	NOUN
cana-1221	210	3	,	,	PUNCT
cana-1221	210	4	ensembleml	ensembleml	NOUN
cana-1221	210	5	emerges	emerge	VERB
cana-1221	210	6	as	as	ADP
cana-1221	210	7	the	the	DET
cana-1221	210	8	top	top	ADV
cana-1221	210	9	-	-	PUNCT
cana-1221	210	10	performing	perform	VERB
cana-1221	210	11	algorithm	algorithm	NOUN
cana-1221	210	12	,	,	PUNCT
cana-1221	210	13	showcasing	showcase	VERB
cana-1221	210	14	superior	superior	ADJ
cana-1221	210	15	accuracy	accuracy	NOUN
cana-1221	210	16	,	,	PUNCT
cana-1221	210	17	precision	precision	NOUN
cana-1221	210	18	,	,	PUNCT
cana-1221	210	19	and	and	CCONJ
cana-1221	210	20	recall	recall	NOUN
cana-1221	210	21	,	,	PUNCT
cana-1221	210	22	reaffirming	reaffirm	VERB
cana-1221	210	23	the	the	DET
cana-1221	210	24	effectiveness	effectiveness	NOUN
cana-1221	210	25	of	of	ADP
cana-1221	210	26	ensemble	ensemble	ADJ
cana-1221	210	27	approaches	approach	NOUN
cana-1221	210	28	in	in	ADP
cana-1221	210	29	comprehensive	comprehensive	ADJ
cana-1221	210	30	and	and	CCONJ
cana-1221	210	31	high	high	ADJ
cana-1221	210	32	-	-	PUNCT
cana-1221	210	33	performance	performance	NOUN
cana-1221	210	34	model	model	NOUN
cana-1221	210	35	development	development	NOUN
cana-1221	210	36	.	.	PUNCT
cana-1221	211	1	communications	communication	NOUN
cana-1221	211	2	on	on	ADP
cana-1221	211	3	applied	apply	VERB
cana-1221	211	4	nonlinear	nonlinear	ADJ
cana-1221	211	5	analysis	analysis	NOUN
cana-1221	211	6	issn	issn	NOUN
cana-1221	211	7	:	:	PUNCT
cana-1221	211	8	1074	1074	NUM
cana-1221	211	9	-	-	PUNCT
cana-1221	211	10	133x	133x	NUM
cana-1221	211	11	vol	vol	NOUN
cana-1221	211	12	31	31	NUM
cana-1221	211	13	no	no	NOUN
cana-1221	211	14	.	.	PUNCT
cana-1221	212	1	6s	6s	NUM
cana-1221	212	2	(	(	PUNCT
cana-1221	212	3	2024	2024	NUM
cana-1221	212	4	)	)	PUNCT
cana-1221	212	5	279	279	NUM
cana-1221	212	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1221	212	7	5	5	NUM
cana-1221	212	8	.	.	PUNCT
cana-1221	212	9	conclusion	conclusion	NOUN
cana-1221	212	10	this	this	DET
cana-1221	212	11	research	research	NOUN
cana-1221	212	12	work	work	NOUN
cana-1221	212	13	presents	present	VERB
cana-1221	212	14	an	an	DET
cana-1221	212	15	advanced	advanced	ADJ
cana-1221	212	16	ensemble	ensemble	ADJ
cana-1221	212	17	machine	machine	NOUN
cana-1221	212	18	learning	learning	NOUN
cana-1221	212	19	(	(	PUNCT
cana-1221	212	20	ml	ml	NOUN
cana-1221	212	21	)	)	PUNCT
cana-1221	212	22	approach	approach	NOUN
cana-1221	212	23	,	,	PUNCT
cana-1221	212	24	ensembleml	ensembleml	NOUN
cana-1221	212	25	,	,	PUNCT
cana-1221	212	26	for	for	ADP
cana-1221	212	27	water	water	NOUN
cana-1221	212	28	mapping	mapping	NOUN
cana-1221	212	29	,	,	PUNCT
cana-1221	212	30	showcasing	showcase	VERB
cana-1221	212	31	its	its	PRON
cana-1221	212	32	remarkable	remarkable	ADJ
cana-1221	212	33	accuracy	accuracy	NOUN
cana-1221	212	34	,	,	PUNCT
cana-1221	212	35	precision	precision	NOUN
cana-1221	212	36	,	,	PUNCT
cana-1221	212	37	and	and	CCONJ
cana-1221	212	38	recall	recall	NOUN
cana-1221	212	39	rates	rate	NOUN
cana-1221	212	40	of	of	ADP
cana-1221	212	41	98.5	98.5	NUM
cana-1221	212	42	%	%	NOUN
cana-1221	212	43	,	,	PUNCT
cana-1221	212	44	90.4	90.4	NUM
cana-1221	212	45	%	%	NOUN
cana-1221	212	46	,	,	PUNCT
cana-1221	212	47	and	and	CCONJ
cana-1221	212	48	92	92	NUM
cana-1221	212	49	%	%	NOUN
cana-1221	212	50	,	,	PUNCT
cana-1221	212	51	respectively	respectively	ADV
cana-1221	212	52	.	.	PUNCT
cana-1221	213	1	the	the	DET
cana-1221	213	2	research	research	NOUN
cana-1221	213	3	addresses	address	VERB
cana-1221	213	4	a	a	DET
cana-1221	213	5	significant	significant	ADJ
cana-1221	213	6	research	research	NOUN
cana-1221	213	7	gap	gap	NOUN
cana-1221	213	8	by	by	ADP
cana-1221	213	9	combining	combine	VERB
cana-1221	213	10	diverse	diverse	ADJ
cana-1221	213	11	ml	ml	NOUN
cana-1221	213	12	algorithms	algorithm	NOUN
cana-1221	213	13	,	,	PUNCT
cana-1221	213	14	providing	provide	VERB
cana-1221	213	15	a	a	DET
cana-1221	213	16	comprehensive	comprehensive	ADJ
cana-1221	213	17	and	and	CCONJ
cana-1221	213	18	effective	effective	ADJ
cana-1221	213	19	solution	solution	NOUN
cana-1221	213	20	for	for	ADP
cana-1221	213	21	predicting	predict	VERB
cana-1221	213	22	water	water	NOUN
cana-1221	213	23	levels	level	NOUN
cana-1221	213	24	.	.	PUNCT
cana-1221	214	1	the	the	DET
cana-1221	214	2	advantage	advantage	NOUN
cana-1221	214	3	of	of	ADP
cana-1221	214	4	ensembleml	ensembleml	NOUN
cana-1221	214	5	over	over	ADP
cana-1221	214	6	individual	individual	ADJ
cana-1221	214	7	algorithms	algorithm	NOUN
cana-1221	214	8	underscores	underscore	VERB
cana-1221	214	9	the	the	DET
cana-1221	214	10	efficacy	efficacy	NOUN
cana-1221	214	11	of	of	ADP
cana-1221	214	12	ensemble	ensemble	ADJ
cana-1221	214	13	techniques	technique	NOUN
cana-1221	214	14	in	in	ADP
cana-1221	214	15	handling	handle	VERB
cana-1221	214	16	the	the	DET
cana-1221	214	17	complex	complex	ADJ
cana-1221	214	18	relationships	relationship	NOUN
cana-1221	214	19	within	within	ADP
cana-1221	214	20	geospatial	geospatial	ADJ
cana-1221	214	21	datasets	dataset	NOUN
cana-1221	214	22	.	.	PUNCT
cana-1221	215	1	future	future	ADJ
cana-1221	215	2	enhancements	enhancement	NOUN
cana-1221	215	3	could	could	AUX
cana-1221	215	4	involve	involve	VERB
cana-1221	215	5	refining	refine	VERB
cana-1221	215	6	the	the	DET
cana-1221	215	7	ensemble	ensemble	ADJ
cana-1221	215	8	model	model	NOUN
cana-1221	215	9	by	by	ADP
cana-1221	215	10	incorporating	incorporate	VERB
cana-1221	215	11	additional	additional	ADJ
cana-1221	215	12	influencing	influence	VERB
cana-1221	215	13	factors	factor	NOUN
cana-1221	215	14	,	,	PUNCT
cana-1221	215	15	exploring	explore	VERB
cana-1221	215	16	new	new	ADJ
cana-1221	215	17	ensemble	ensemble	ADJ
cana-1221	215	18	methods	method	NOUN
cana-1221	215	19	,	,	PUNCT
cana-1221	215	20	and	and	CCONJ
cana-1221	215	21	incorporating	incorporate	VERB
cana-1221	215	22	real	real	ADJ
cana-1221	215	23	-	-	PUNCT
cana-1221	215	24	time	time	NOUN
cana-1221	215	25	data	datum	NOUN
cana-1221	215	26	for	for	ADP
cana-1221	215	27	improved	improved	ADJ
cana-1221	215	28	predictions	prediction	NOUN
cana-1221	215	29	.	.	PUNCT
cana-1221	216	1	cross	cross	ADJ
cana-1221	216	2	-	-	ADJ
cana-1221	216	3	disciplinary	disciplinary	ADJ
cana-1221	216	4	collaborations	collaboration	NOUN
cana-1221	216	5	and	and	CCONJ
cana-1221	216	6	standardized	standardized	ADJ
cana-1221	216	7	methodologies	methodology	NOUN
cana-1221	216	8	should	should	AUX
cana-1221	216	9	be	be	AUX
cana-1221	216	10	prioritized	prioritize	VERB
cana-1221	216	11	to	to	PART
cana-1221	216	12	further	far	ADV
cana-1221	216	13	enhance	enhance	VERB
cana-1221	216	14	the	the	DET
cana-1221	216	15	practicality	practicality	NOUN
cana-1221	216	16	and	and	CCONJ
cana-1221	216	17	reliability	reliability	NOUN
cana-1221	216	18	of	of	ADP
cana-1221	216	19	water	water	NOUN
cana-1221	216	20	level	level	NOUN
cana-1221	216	21	prediction	prediction	NOUN
cana-1221	216	22	models	model	NOUN
cana-1221	216	23	.	.	PUNCT
cana-1221	217	1	additionally	additionally	ADV
cana-1221	217	2	,	,	PUNCT
cana-1221	217	3	focusing	focus	VERB
cana-1221	217	4	on	on	ADP
cana-1221	217	5	model	model	NOUN
cana-1221	217	6	explainability	explainability	NOUN
cana-1221	217	7	and	and	CCONJ
cana-1221	217	8	uncertainty	uncertainty	NOUN
cana-1221	217	9	analysis	analysis	NOUN
cana-1221	217	10	will	will	AUX
cana-1221	217	11	contribute	contribute	VERB
cana-1221	217	12	to	to	ADP
cana-1221	217	13	these	these	DET
cana-1221	217	14	models	model	NOUN
cana-1221	217	15	'	'	PART
cana-1221	217	16	broader	broad	ADJ
cana-1221	217	17	acceptance	acceptance	NOUN
cana-1221	217	18	and	and	CCONJ
cana-1221	217	19	application	application	NOUN
cana-1221	217	20	in	in	ADP
cana-1221	217	21	real	real	ADJ
cana-1221	217	22	-	-	PUNCT
cana-1221	217	23	world	world	NOUN
cana-1221	217	24	scenarios	scenario	NOUN
cana-1221	217	25	,	,	PUNCT
cana-1221	217	26	ensuring	ensure	VERB
cana-1221	217	27	sustainable	sustainable	ADJ
cana-1221	217	28	water	water	NOUN
cana-1221	217	29	resource	resource	NOUN
cana-1221	217	30	management	management	NOUN
cana-1221	217	31	in	in	ADP
cana-1221	217	32	the	the	DET
cana-1221	217	33	face	face	NOUN
cana-1221	217	34	of	of	ADP
cana-1221	217	35	evolving	evolve	VERB
cana-1221	217	36	environmental	environmental	ADJ
cana-1221	217	37	dynamics	dynamic	NOUN
cana-1221	217	38	.	.	PUNCT
cana-1221	218	1	reference	reference	NOUN
cana-1221	218	2	[	[	X
cana-1221	218	3	1	1	NUM
cana-1221	218	4	]	]	X
cana-1221	218	5	bai	bai	PROPN
cana-1221	218	6	,	,	PUNCT
cana-1221	218	7	z.	z.	PROPN
cana-1221	218	8	,	,	PUNCT
cana-1221	218	9	liu	liu	PROPN
cana-1221	218	10	,	,	PUNCT
cana-1221	218	11	q.	q.	PROPN
cana-1221	218	12	,	,	PUNCT
cana-1221	218	13	&	&	CCONJ
cana-1221	218	14	liu	liu	PROPN
cana-1221	218	15	,	,	PUNCT
cana-1221	218	16	y.	y.	PROPN
cana-1221	218	17	(	(	PUNCT
cana-1221	218	18	2022	2022	NUM
cana-1221	218	19	)	)	PUNCT
cana-1221	218	20	.	.	PUNCT
cana-1221	219	1	water	water	NOUN
cana-1221	219	2	potential	potential	ADJ
cana-1221	219	3	mapping	mapping	NOUN
cana-1221	219	4	in	in	ADP
cana-1221	219	5	hubei	hubei	PROPN
cana-1221	219	6	region	region	NOUN
cana-1221	219	7	of	of	ADP
cana-1221	219	8	china	china	PROPN
cana-1221	219	9	using	use	VERB
cana-1221	219	10	machine	machine	NOUN
cana-1221	219	11	learning	learning	NOUN
cana-1221	219	12	,	,	PUNCT
cana-1221	219	13	ensemble	ensemble	ADJ
cana-1221	219	14	learning	learning	NOUN
cana-1221	219	15	,	,	PUNCT
cana-1221	219	16	deep	deep	ADJ
cana-1221	219	17	learning	learning	NOUN
cana-1221	219	18	and	and	CCONJ
cana-1221	219	19	automl	automl	NOUN
cana-1221	219	20	methods	method	NOUN
cana-1221	219	21	.	.	PUNCT
cana-1221	220	1	natural	natural	ADJ
cana-1221	220	2	resources	resource	NOUN
cana-1221	220	3	research	research	NOUN
cana-1221	220	4	,	,	PUNCT
cana-1221	220	5	31(5	31(5	NUM
cana-1221	220	6	)	)	PUNCT
cana-1221	220	7	,	,	PUNCT
cana-1221	220	8	2549	2549	NUM
cana-1221	220	9	-	-	SYM
cana-1221	220	10	2569	2569	NUM
cana-1221	220	11	.	.	PUNCT
cana-1221	221	1	[	[	X
cana-1221	221	2	2	2	NUM
cana-1221	221	3	]	]	PUNCT
cana-1221	221	4	hasanuzzaman	hasanuzzaman	ADJ
cana-1221	221	5	,	,	PUNCT
cana-1221	221	6	m.	m.	NOUN
cana-1221	221	7	,	,	PUNCT
cana-1221	221	8	mandal	mandal	PROPN
cana-1221	221	9	,	,	PUNCT
cana-1221	221	10	m.	m.	PROPN
cana-1221	221	11	h.	h.	PROPN
cana-1221	221	12	,	,	PUNCT
cana-1221	221	13	hasnine	hasnine	PROPN
cana-1221	221	14	,	,	PUNCT
cana-1221	221	15	m.	m.	NOUN
cana-1221	221	16	,	,	PUNCT
cana-1221	221	17	&	&	CCONJ
cana-1221	221	18	shit	shit	PROPN
cana-1221	221	19	,	,	PUNCT
cana-1221	221	20	p.	p.	PROPN
cana-1221	221	21	k.	k.	PROPN
cana-1221	222	1	(	(	PUNCT
cana-1221	222	2	2022	2022	NUM
cana-1221	222	3	)	)	PUNCT
cana-1221	222	4	.	.	PUNCT
cana-1221	223	1	water	water	NOUN
cana-1221	223	2	potential	potential	ADJ
cana-1221	223	3	mapping	mapping	NOUN
cana-1221	223	4	using	use	VERB
cana-1221	223	5	multi	multi	ADJ
cana-1221	223	6	-	-	ADJ
cana-1221	223	7	criteria	criterion	NOUN
cana-1221	223	8	decision	decision	NOUN
cana-1221	223	9	,	,	PUNCT
cana-1221	223	10	bivariate	bivariate	ADJ
cana-1221	223	11	statistic	statistic	NOUN
cana-1221	223	12	and	and	CCONJ
cana-1221	223	13	machine	machine	NOUN
cana-1221	223	14	learning	learning	NOUN
cana-1221	223	15	algorithms	algorithm	NOUN
cana-1221	223	16	:	:	PUNCT
cana-1221	223	17	evidence	evidence	NOUN
cana-1221	223	18	from	from	ADP
cana-1221	223	19	chota	chota	PROPN
cana-1221	223	20	nagpur	nagpur	PROPN
cana-1221	223	21	plateau	plateau	PROPN
cana-1221	223	22	,	,	PUNCT
cana-1221	223	23	india	india	PROPN
cana-1221	223	24	.	.	PROPN
cana-1221	223	25	applied	apply	VERB
cana-1221	223	26	water	water	NOUN
cana-1221	223	27	science	science	NOUN
cana-1221	223	28	,	,	PUNCT
cana-1221	223	29	12(4	12(4	NUM
cana-1221	223	30	)	)	PUNCT
cana-1221	223	31	,	,	PUNCT
cana-1221	223	32	58	58	NUM
cana-1221	223	33	.	.	PUNCT
cana-1221	224	1	[	[	X
cana-1221	224	2	3	3	NUM
cana-1221	224	3	]	]	PUNCT
cana-1221	224	4	yariyan	yariyan	NOUN
cana-1221	224	5	,	,	PUNCT
cana-1221	224	6	p.	p.	PROPN
cana-1221	224	7	,	,	PUNCT
cana-1221	224	8	avand	avand	PROPN
cana-1221	224	9	,	,	PUNCT
cana-1221	224	10	m.	m.	NOUN
cana-1221	224	11	,	,	PUNCT
cana-1221	224	12	omidvar	omidvar	PROPN
cana-1221	224	13	,	,	PUNCT
cana-1221	224	14	e.	e.	PROPN
cana-1221	224	15	,	,	PUNCT
cana-1221	224	16	pham	pham	PROPN
cana-1221	224	17	,	,	PUNCT
cana-1221	224	18	q.	q.	PROPN
cana-1221	224	19	b.	b.	PROPN
cana-1221	224	20	,	,	PUNCT
cana-1221	224	21	linh	linh	PROPN
cana-1221	224	22	,	,	PUNCT
cana-1221	224	23	n.	n.	NOUN
cana-1221	224	24	t.	t.	PROPN
cana-1221	224	25	t.	t.	PROPN
cana-1221	224	26	,	,	PUNCT
cana-1221	224	27	&	&	CCONJ
cana-1221	224	28	tiefenbacher	tiefenbacher	PROPN
cana-1221	224	29	,	,	PUNCT
cana-1221	224	30	j.	j.	PROPN
cana-1221	224	31	p.	p.	PROPN
cana-1221	224	32	(	(	PUNCT
cana-1221	224	33	2022	2022	NUM
cana-1221	224	34	)	)	PUNCT
cana-1221	224	35	.	.	PUNCT
cana-1221	225	1	optimization	optimization	NOUN
cana-1221	225	2	of	of	ADP
cana-1221	225	3	statistical	statistical	ADJ
cana-1221	225	4	and	and	CCONJ
cana-1221	225	5	machine	machine	NOUN
cana-1221	225	6	learning	learn	VERB
cana-1221	225	7	hybrid	hybrid	ADJ
cana-1221	225	8	models	model	NOUN
cana-1221	225	9	for	for	ADP
cana-1221	225	10	water	water	NOUN
cana-1221	225	11	potential	potential	ADJ
cana-1221	225	12	mapping	mapping	NOUN
cana-1221	225	13	.	.	PUNCT
cana-1221	226	1	geocarto	geocarto	PROPN
cana-1221	226	2	international	international	ADJ
cana-1221	226	3	,	,	PUNCT
cana-1221	226	4	37(13	37(13	NUM
cana-1221	226	5	)	)	PUNCT
cana-1221	226	6	,	,	PUNCT
cana-1221	226	7	38773911	38773911	NUM
cana-1221	226	8	.	.	PUNCT
cana-1221	227	1	[	[	X
cana-1221	227	2	4	4	NUM
cana-1221	227	3	]	]	PUNCT
cana-1221	227	4	gómez	gómez	NOUN
cana-1221	227	5	-	-	PUNCT
cana-1221	227	6	escalonilla	escalonilla	NOUN
cana-1221	227	7	,	,	PUNCT
cana-1221	227	8	v.	v.	NOUN
cana-1221	227	9	,	,	PUNCT
cana-1221	227	10	martínez	martínez	NOUN
cana-1221	227	11	-	-	PUNCT
cana-1221	227	12	santos	santos	PROPN
cana-1221	227	13	,	,	PUNCT
cana-1221	227	14	p.	p.	NOUN
cana-1221	227	15	,	,	PUNCT
cana-1221	227	16	&	&	CCONJ
cana-1221	227	17	martín	martín	NOUN
cana-1221	227	18	-	-	PUNCT
cana-1221	227	19	loeches	loeche	NOUN
cana-1221	227	20	,	,	PUNCT
cana-1221	227	21	m.	m.	NOUN
cana-1221	227	22	(	(	PUNCT
cana-1221	227	23	2022	2022	NUM
cana-1221	227	24	)	)	PUNCT
cana-1221	227	25	.	.	PUNCT
cana-1221	228	1	preprocessing	preprocesse	VERB
cana-1221	228	2	approaches	approach	NOUN
cana-1221	228	3	in	in	ADP
cana-1221	228	4	machinelearning	machinelearning	NOUN
cana-1221	228	5	-	-	PUNCT
cana-1221	228	6	based	base	VERB
cana-1221	228	7	water	water	NOUN
cana-1221	228	8	potential	potential	ADJ
cana-1221	228	9	mapping	mapping	NOUN
cana-1221	228	10	:	:	PUNCT
cana-1221	228	11	an	an	DET
cana-1221	228	12	application	application	NOUN
cana-1221	228	13	to	to	ADP
cana-1221	228	14	the	the	DET
cana-1221	228	15	koulikoro	koulikoro	PROPN
cana-1221	228	16	and	and	CCONJ
cana-1221	228	17	bamako	bamako	PROPN
cana-1221	228	18	regions	region	NOUN
cana-1221	228	19	,	,	PUNCT
cana-1221	228	20	mali	mali	PROPN
cana-1221	228	21	.	.	PUNCT
cana-1221	229	1	hydrology	hydrology	NOUN
cana-1221	229	2	and	and	CCONJ
cana-1221	229	3	earth	earth	NOUN
cana-1221	229	4	system	system	NOUN
cana-1221	229	5	sciences	science	NOUN
cana-1221	229	6	,	,	PUNCT
cana-1221	229	7	26(2	26(2	NUM
cana-1221	229	8	)	)	PUNCT
cana-1221	229	9	,	,	PUNCT
cana-1221	229	10	221	221	NUM
cana-1221	229	11	-	-	SYM
cana-1221	229	12	243	243	NUM
cana-1221	229	13	.	.	PUNCT
cana-1221	230	1	[	[	X
cana-1221	230	2	5	5	NUM
cana-1221	230	3	]	]	SYM
cana-1221	230	4	tao	tao	PROPN
cana-1221	230	5	,	,	PUNCT
cana-1221	230	6	h.	h.	PROPN
cana-1221	230	7	,	,	PUNCT
cana-1221	230	8	hameed	hameed	PROPN
cana-1221	230	9	,	,	PUNCT
cana-1221	230	10	m.	m.	NOUN
cana-1221	230	11	m.	m.	NOUN
cana-1221	230	12	,	,	PUNCT
cana-1221	230	13	marhoon	marhoon	NOUN
cana-1221	230	14	,	,	PUNCT
cana-1221	230	15	h.	h.	PROPN
cana-1221	230	16	a.	a.	PROPN
cana-1221	230	17	,	,	PUNCT
cana-1221	230	18	zounemat	zounemat	NOUN
cana-1221	230	19	-	-	PUNCT
cana-1221	230	20	kermani	kermani	NOUN
cana-1221	230	21	,	,	PUNCT
cana-1221	230	22	m.	m.	NOUN
cana-1221	230	23	,	,	PUNCT
cana-1221	230	24	heddam	heddam	PROPN
cana-1221	230	25	,	,	PUNCT
cana-1221	230	26	s.	s.	PROPN
cana-1221	230	27	,	,	PUNCT
cana-1221	230	28	kim	kim	PROPN
cana-1221	230	29	,	,	PUNCT
cana-1221	230	30	s.	s.	PROPN
cana-1221	230	31	,	,	PUNCT
cana-1221	230	32	...	...	PUNCT
cana-1221	230	33	&	&	CCONJ
cana-1221	230	34	yaseen	yaseen	PROPN
cana-1221	230	35	,	,	PUNCT
cana-1221	230	36	z.	z.	PROPN
cana-1221	230	37	m.	m.	PROPN
cana-1221	230	38	(	(	PUNCT
cana-1221	230	39	2022	2022	NUM
cana-1221	230	40	)	)	PUNCT
cana-1221	230	41	.	.	PUNCT
cana-1221	231	1	water	water	NOUN
cana-1221	231	2	level	level	NOUN
cana-1221	231	3	prediction	prediction	NOUN
cana-1221	231	4	using	use	VERB
cana-1221	231	5	machine	machine	NOUN
cana-1221	231	6	learning	learning	NOUN
cana-1221	231	7	models	model	NOUN
cana-1221	231	8	:	:	PUNCT
cana-1221	231	9	a	a	DET
cana-1221	231	10	comprehensive	comprehensive	ADJ
cana-1221	231	11	review	review	NOUN
cana-1221	231	12	.	.	PUNCT
cana-1221	232	1	neurocomputing	neurocomputing	NOUN
cana-1221	232	2	,	,	PUNCT
cana-1221	232	3	489	489	NUM
cana-1221	232	4	,	,	PUNCT
cana-1221	232	5	271	271	NUM
cana-1221	232	6	-	-	SYM
cana-1221	232	7	308	308	NUM
cana-1221	232	8	.	.	PUNCT
cana-1221	233	1	[	[	X
cana-1221	233	2	6	6	NUM
cana-1221	233	3	]	]	X
cana-1221	233	4	liu	liu	PROPN
cana-1221	233	5	,	,	PUNCT
cana-1221	233	6	r.	r.	PROPN
cana-1221	233	7	,	,	PUNCT
cana-1221	233	8	li	li	PROPN
cana-1221	233	9	,	,	PUNCT
cana-1221	233	10	g.	g.	PROPN
cana-1221	233	11	,	,	PUNCT
cana-1221	233	12	wei	wei	PROPN
cana-1221	233	13	,	,	PUNCT
cana-1221	233	14	l.	l.	PROPN
cana-1221	233	15	,	,	PUNCT
cana-1221	233	16	xu	xu	PROPN
cana-1221	233	17	,	,	PUNCT
cana-1221	233	18	y.	y.	PROPN
cana-1221	233	19	,	,	PUNCT
cana-1221	233	20	gou	gou	PROPN
cana-1221	233	21	,	,	PUNCT
cana-1221	233	22	x.	x.	NOUN
cana-1221	233	23	,	,	PUNCT
cana-1221	233	24	luo	luo	PROPN
cana-1221	233	25	,	,	PUNCT
cana-1221	233	26	s.	s.	PROPN
cana-1221	233	27	,	,	PUNCT
cana-1221	233	28	&	&	CCONJ
cana-1221	233	29	yang	yang	PROPN
cana-1221	233	30	,	,	PUNCT
cana-1221	233	31	x.	x.	NOUN
cana-1221	233	32	(	(	PUNCT
cana-1221	233	33	2022	2022	NUM
cana-1221	233	34	)	)	PUNCT
cana-1221	233	35	.	.	PUNCT
cana-1221	234	1	spatial	spatial	ADJ
cana-1221	234	2	prediction	prediction	NOUN
cana-1221	234	3	of	of	ADP
cana-1221	234	4	water	water	NOUN
cana-1221	234	5	potentiality	potentiality	NOUN
cana-1221	234	6	using	use	VERB
cana-1221	234	7	machine	machine	NOUN
cana-1221	234	8	learning	learning	NOUN
cana-1221	234	9	methods	method	NOUN
cana-1221	234	10	with	with	ADP
cana-1221	234	11	grey	grey	ADJ
cana-1221	234	12	wolf	wolf	PROPN
cana-1221	234	13	and	and	CCONJ
cana-1221	234	14	sparrow	sparrow	ADJ
cana-1221	234	15	search	search	NOUN
cana-1221	234	16	algorithms	algorithm	NOUN
cana-1221	234	17	.	.	PUNCT
cana-1221	235	1	journal	journal	NOUN
cana-1221	235	2	of	of	ADP
cana-1221	235	3	hydrology	hydrology	NOUN
cana-1221	235	4	,	,	PUNCT
cana-1221	235	5	610	610	NUM
cana-1221	235	6	,	,	PUNCT
cana-1221	235	7	127977	127977	NUM
cana-1221	235	8	.	.	PUNCT
cana-1221	236	1	[	[	X
cana-1221	236	2	7	7	NUM
cana-1221	236	3	]	]	PUNCT
cana-1221	236	4	bertalan	bertalan	NOUN
cana-1221	236	5	,	,	PUNCT
cana-1221	236	6	l.	l.	PROPN
cana-1221	236	7	,	,	PUNCT
cana-1221	236	8	holb	holb	PROPN
cana-1221	236	9	,	,	PUNCT
cana-1221	236	10	i.	i.	PROPN
cana-1221	236	11	,	,	PUNCT
cana-1221	236	12	pataki	pataki	PROPN
cana-1221	236	13	,	,	PUNCT
cana-1221	236	14	a.	a.	PROPN
cana-1221	236	15	,	,	PUNCT
cana-1221	236	16	négyesi	négyesi	PROPN
cana-1221	236	17	,	,	PUNCT
cana-1221	236	18	g.	g.	PROPN
cana-1221	236	19	,	,	PUNCT
cana-1221	236	20	szabó	szabó	PROPN
cana-1221	236	21	,	,	PUNCT
cana-1221	236	22	g.	g.	PROPN
cana-1221	236	23	,	,	PUNCT
cana-1221	236	24	szalóki	szalóki	PROPN
cana-1221	236	25	,	,	PUNCT
cana-1221	236	26	a.	a.	PROPN
cana-1221	236	27	k.	k.	PROPN
cana-1221	236	28	,	,	PUNCT
cana-1221	236	29	&	&	CCONJ
cana-1221	236	30	szabó	szabó	PROPN
cana-1221	236	31	,	,	PUNCT
cana-1221	236	32	s.	s.	PROPN
cana-1221	236	33	(	(	PUNCT
cana-1221	236	34	2022	2022	NUM
cana-1221	236	35	)	)	PUNCT
cana-1221	236	36	.	.	PUNCT
cana-1221	237	1	uav	uav	PROPN
cana-1221	237	2	-	-	PUNCT
cana-1221	237	3	based	base	VERB
cana-1221	237	4	multispectral	multispectral	ADJ
cana-1221	237	5	and	and	CCONJ
cana-1221	237	6	thermal	thermal	ADJ
cana-1221	237	7	cameras	camera	NOUN
cana-1221	237	8	to	to	PART
cana-1221	237	9	predict	predict	VERB
cana-1221	237	10	soil	soil	NOUN
cana-1221	237	11	water	water	NOUN
cana-1221	237	12	content	content	NOUN
cana-1221	237	13	–	–	PUNCT
cana-1221	237	14	a	a	DET
cana-1221	237	15	machine	machine	NOUN
cana-1221	237	16	learning	learning	NOUN
cana-1221	237	17	approach	approach	NOUN
cana-1221	237	18	.	.	PUNCT
cana-1221	238	1	computers	computer	NOUN
cana-1221	238	2	and	and	CCONJ
cana-1221	238	3	electronics	electronic	NOUN
cana-1221	238	4	in	in	ADP
cana-1221	238	5	agriculture	agriculture	NOUN
cana-1221	238	6	,	,	PUNCT
cana-1221	238	7	200	200	NUM
cana-1221	238	8	,	,	PUNCT
cana-1221	238	9	107262	107262	NUM
cana-1221	238	10	.	.	PUNCT
cana-1221	239	1	[	[	X
cana-1221	239	2	8	8	NUM
cana-1221	239	3	]	]	SYM
cana-1221	239	4	podgorski	podgorski	NOUN
cana-1221	239	5	,	,	PUNCT
cana-1221	239	6	j.	j.	PROPN
cana-1221	239	7	,	,	PUNCT
cana-1221	239	8	araya	araya	PROPN
cana-1221	239	9	,	,	PUNCT
cana-1221	239	10	d.	d.	PROPN
cana-1221	239	11	,	,	PUNCT
cana-1221	239	12	&	&	CCONJ
cana-1221	239	13	berg	berg	PROPN
cana-1221	239	14	,	,	PUNCT
cana-1221	239	15	m.	m.	NOUN
cana-1221	239	16	(	(	PUNCT
cana-1221	239	17	2022	2022	NUM
cana-1221	239	18	)	)	PUNCT
cana-1221	239	19	.	.	PUNCT
cana-1221	240	1	geogenic	geogenic	ADJ
cana-1221	240	2	manganese	manganese	NOUN
cana-1221	240	3	and	and	CCONJ
cana-1221	240	4	iron	iron	NOUN
cana-1221	240	5	in	in	ADP
cana-1221	240	6	water	water	NOUN
cana-1221	240	7	of	of	ADP
cana-1221	240	8	southeast	southeast	PROPN
cana-1221	240	9	asia	asia	PROPN
cana-1221	240	10	and	and	CCONJ
cana-1221	240	11	bangladesh	bangladesh	PROPN
cana-1221	240	12	–	–	PUNCT
cana-1221	240	13	machine	machine	NOUN
cana-1221	240	14	learning	learn	VERB
cana-1221	240	15	spatial	spatial	ADJ
cana-1221	240	16	prediction	prediction	NOUN
cana-1221	240	17	modeling	modeling	NOUN
cana-1221	240	18	and	and	CCONJ
cana-1221	240	19	comparison	comparison	NOUN
cana-1221	240	20	with	with	ADP
cana-1221	240	21	arsenic	arsenic	NOUN
cana-1221	240	22	.	.	PUNCT
cana-1221	241	1	science	science	NOUN
cana-1221	241	2	of	of	ADP
cana-1221	241	3	the	the	DET
cana-1221	241	4	total	total	ADJ
cana-1221	241	5	environment	environment	NOUN
cana-1221	241	6	,	,	PUNCT
cana-1221	241	7	833	833	NUM
cana-1221	241	8	,	,	PUNCT
cana-1221	241	9	155131	155131	NUM
cana-1221	241	10	.	.	PUNCT
cana-1221	242	1	[	[	X
cana-1221	242	2	9	9	NUM
cana-1221	242	3	]	]	SYM
cana-1221	242	4	eid	eid	PROPN
cana-1221	242	5	,	,	PUNCT
cana-1221	242	6	m.	m.	PROPN
cana-1221	242	7	h.	h.	PROPN
cana-1221	242	8	,	,	PUNCT
cana-1221	242	9	elbagory	elbagory	NOUN
cana-1221	242	10	,	,	PUNCT
cana-1221	242	11	m.	m.	NOUN
cana-1221	242	12	,	,	PUNCT
cana-1221	242	13	tamma	tamma	PROPN
cana-1221	242	14	,	,	PUNCT
cana-1221	242	15	a.	a.	NOUN
cana-1221	242	16	a.	a.	PROPN
cana-1221	242	17	,	,	PUNCT
cana-1221	242	18	gad	gad	PROPN
cana-1221	242	19	,	,	PUNCT
cana-1221	242	20	m.	m.	NOUN
cana-1221	242	21	,	,	PUNCT
cana-1221	242	22	elsayed	elsaye	VERB
cana-1221	242	23	,	,	PUNCT
cana-1221	242	24	s.	s.	PROPN
cana-1221	242	25	,	,	PUNCT
cana-1221	242	26	hussein	hussein	PROPN
cana-1221	242	27	,	,	PUNCT
cana-1221	242	28	h.	h.	PROPN
cana-1221	242	29	,	,	PUNCT
cana-1221	242	30	...	...	PUNCT
cana-1221	242	31	&	&	CCONJ
cana-1221	242	32	péter	péter	PROPN
cana-1221	242	33	,	,	PUNCT
cana-1221	242	34	s.	s.	PROPN
cana-1221	242	35	(	(	PUNCT
cana-1221	242	36	2023	2023	NUM
cana-1221	242	37	)	)	PUNCT
cana-1221	242	38	.	.	PUNCT
cana-1221	243	1	evaluation	evaluation	NOUN
cana-1221	243	2	of	of	ADP
cana-1221	243	3	water	water	NOUN
cana-1221	243	4	quality	quality	NOUN
cana-1221	243	5	for	for	ADP
cana-1221	243	6	irrigation	irrigation	NOUN
cana-1221	243	7	in	in	ADP
cana-1221	243	8	deep	deep	ADJ
cana-1221	243	9	aquifers	aquifer	NOUN
cana-1221	243	10	using	use	VERB
cana-1221	243	11	multiple	multiple	ADJ
cana-1221	243	12	graphical	graphical	ADJ
cana-1221	243	13	and	and	CCONJ
cana-1221	243	14	indexing	indexing	NOUN
cana-1221	243	15	approaches	approach	NOUN
cana-1221	243	16	supported	support	VERB
cana-1221	243	17	with	with	ADP
cana-1221	243	18	machine	machine	NOUN
cana-1221	243	19	learning	learning	NOUN
cana-1221	243	20	models	model	NOUN
cana-1221	243	21	and	and	CCONJ
cana-1221	243	22	gis	gis	NOUN
cana-1221	243	23	techniques	technique	NOUN
cana-1221	243	24	,	,	PUNCT
cana-1221	243	25	souf	souf	PROPN
cana-1221	243	26	valley	valley	PROPN
cana-1221	243	27	,	,	PUNCT
cana-1221	243	28	algeria	algeria	PROPN
cana-1221	243	29	.	.	PUNCT
cana-1221	244	1	water	water	PROPN
cana-1221	244	2	,	,	PUNCT
cana-1221	244	3	15(1	15(1	NUM
cana-1221	244	4	)	)	PUNCT
cana-1221	244	5	,	,	PUNCT
cana-1221	244	6	182	182	NUM
cana-1221	244	7	.	.	PUNCT
cana-1221	245	1	[	[	X
cana-1221	245	2	10	10	NUM
cana-1221	245	3	]	]	SYM
cana-1221	245	4	elzain	elzain	NOUN
cana-1221	245	5	,	,	PUNCT
cana-1221	245	6	h.	h.	PROPN
cana-1221	245	7	e.	e.	PROPN
cana-1221	245	8	,	,	PUNCT
cana-1221	245	9	chung	chung	PROPN
cana-1221	245	10	,	,	PUNCT
cana-1221	245	11	s.	s.	PROPN
cana-1221	245	12	y.	y.	PROPN
cana-1221	245	13	,	,	PUNCT
cana-1221	245	14	senapathi	senapathi	PROPN
cana-1221	245	15	,	,	PUNCT
cana-1221	245	16	v.	v.	PROPN
cana-1221	245	17	,	,	PUNCT
cana-1221	245	18	sekar	sekar	PROPN
cana-1221	245	19	,	,	PUNCT
cana-1221	245	20	s.	s.	PROPN
cana-1221	245	21	,	,	PUNCT
cana-1221	245	22	lee	lee	PROPN
cana-1221	245	23	,	,	PUNCT
cana-1221	245	24	s.	s.	PROPN
cana-1221	245	25	y.	y.	PROPN
cana-1221	245	26	,	,	PUNCT
cana-1221	245	27	roy	roy	PROPN
cana-1221	245	28	,	,	PUNCT
cana-1221	245	29	p.	p.	PROPN
cana-1221	245	30	d.	d.	PROPN
cana-1221	245	31	,	,	PUNCT
cana-1221	245	32	...	...	PUNCT
cana-1221	245	33	&	&	CCONJ
cana-1221	245	34	sabarathinam	sabarathinam	PROPN
cana-1221	245	35	,	,	PUNCT
cana-1221	245	36	c.	c.	NOUN
cana-1221	245	37	(	(	PUNCT
cana-1221	245	38	2022	2022	NUM
cana-1221	245	39	)	)	PUNCT
cana-1221	245	40	.	.	PUNCT
cana-1221	246	1	comparative	comparative	ADJ
cana-1221	246	2	study	study	NOUN
cana-1221	246	3	of	of	ADP
cana-1221	246	4	machine	machine	NOUN
cana-1221	246	5	learning	learning	NOUN
cana-1221	246	6	models	model	NOUN
cana-1221	246	7	for	for	ADP
cana-1221	246	8	evaluating	evaluate	VERB
cana-1221	246	9	water	water	NOUN
cana-1221	246	10	vulnerability	vulnerability	NOUN
cana-1221	246	11	to	to	ADP
cana-1221	246	12	nitrate	nitrate	NOUN
cana-1221	246	13	contamination	contamination	NOUN
cana-1221	246	14	.	.	PUNCT
cana-1221	247	1	ecotoxicology	ecotoxicology	NOUN
cana-1221	247	2	and	and	CCONJ
cana-1221	247	3	environmental	environmental	ADJ
cana-1221	247	4	safety	safety	NOUN
cana-1221	247	5	,	,	PUNCT
cana-1221	247	6	229	229	NUM
cana-1221	247	7	,	,	PUNCT
cana-1221	247	8	113061	113061	NUM
cana-1221	247	9	.	.	PUNCT
cana-1221	248	1	[	[	X
cana-1221	248	2	11	11	NUM
cana-1221	248	3	]	]	X
cana-1221	248	4	wang	wang	PROPN
cana-1221	248	5	,	,	PUNCT
cana-1221	248	6	d.	d.	PROPN
cana-1221	248	7	,	,	PUNCT
cana-1221	248	8	qian	qian	PROPN
cana-1221	248	9	,	,	PUNCT
cana-1221	248	10	j.	j.	PROPN
cana-1221	248	11	,	,	PUNCT
cana-1221	248	12	ma	ma	PROPN
cana-1221	248	13	,	,	PUNCT
cana-1221	248	14	l.	l.	PROPN
cana-1221	248	15	,	,	PUNCT
cana-1221	248	16	zhao	zhao	PROPN
cana-1221	248	17	,	,	PUNCT
cana-1221	248	18	w.	w.	PROPN
cana-1221	248	19	,	,	PUNCT
cana-1221	248	20	gao	gao	PROPN
cana-1221	248	21	,	,	PUNCT
cana-1221	248	22	d.	d.	PROPN
cana-1221	248	23	,	,	PUNCT
cana-1221	248	24	hou	hou	PROPN
cana-1221	248	25	,	,	PUNCT
cana-1221	248	26	x.	x.	PROPN
cana-1221	248	27	,	,	PUNCT
cana-1221	248	28	&	&	CCONJ
cana-1221	248	29	ma	ma	PROPN
cana-1221	248	30	,	,	PUNCT
cana-1221	248	31	h.	h.	PROPN
cana-1221	248	32	(	(	PUNCT
cana-1221	248	33	2022	2022	NUM
cana-1221	248	34	)	)	PUNCT
cana-1221	248	35	.	.	PUNCT
cana-1221	249	1	characterizing	characterize	VERB
cana-1221	249	2	water	water	NOUN
cana-1221	249	3	distribution	distribution	NOUN
cana-1221	249	4	potential	potential	NOUN
cana-1221	249	5	using	use	VERB
cana-1221	249	6	gis	gis	NOUN
cana-1221	249	7	-	-	PUNCT
cana-1221	249	8	based	base	VERB
cana-1221	249	9	machine	machine	NOUN
cana-1221	249	10	learning	learning	NOUN
cana-1221	249	11	model	model	NOUN
cana-1221	249	12	in	in	ADP
cana-1221	249	13	chihe	chihe	PROPN
cana-1221	249	14	river	river	PROPN
cana-1221	249	15	basin	basin	PROPN
cana-1221	249	16	,	,	PUNCT
cana-1221	249	17	china	china	PROPN
cana-1221	249	18	.	.	PUNCT
cana-1221	250	1	environmental	environmental	ADJ
cana-1221	250	2	earth	earth	PROPN
cana-1221	250	3	sciences	science	NOUN
cana-1221	250	4	,	,	PUNCT
cana-1221	250	5	81(12	81(12	NUM
cana-1221	250	6	)	)	PUNCT
cana-1221	250	7	,	,	PUNCT
cana-1221	250	8	324	324	NUM
cana-1221	250	9	.	.	PUNCT
cana-1221	251	1	[	[	X
cana-1221	251	2	12	12	NUM
cana-1221	251	3	]	]	X
cana-1221	251	4	kumar	kumar	PROPN
cana-1221	251	5	,	,	PUNCT
cana-1221	251	6	s.	s.	PROPN
cana-1221	251	7	,	,	PUNCT
cana-1221	251	8	&	&	CCONJ
cana-1221	251	9	pati	pati	PROPN
cana-1221	251	10	,	,	PUNCT
cana-1221	251	11	j.	j.	PROPN
cana-1221	251	12	(	(	PUNCT
cana-1221	251	13	2022	2022	NUM
cana-1221	251	14	)	)	PUNCT
cana-1221	251	15	.	.	PUNCT
cana-1221	252	1	assessment	assessment	NOUN
cana-1221	252	2	of	of	ADP
cana-1221	252	3	water	water	NOUN
cana-1221	252	4	arsenic	arsenic	NOUN
cana-1221	252	5	contamination	contamination	NOUN
cana-1221	252	6	level	level	NOUN
cana-1221	252	7	in	in	ADP
cana-1221	252	8	jharkhand	jharkhand	PROPN
cana-1221	252	9	,	,	PUNCT
cana-1221	252	10	india	india	PROPN
cana-1221	252	11	using	use	VERB
cana-1221	252	12	machine	machine	NOUN
cana-1221	252	13	learning	learning	NOUN
cana-1221	252	14	.	.	PUNCT
cana-1221	253	1	journal	journal	PROPN
cana-1221	253	2	of	of	ADP
cana-1221	253	3	computational	computational	ADJ
cana-1221	253	4	science	science	NOUN
cana-1221	253	5	,	,	PUNCT
cana-1221	253	6	63	63	NUM
cana-1221	253	7	,	,	PUNCT
cana-1221	253	8	101779	101779	NUM
cana-1221	253	9	.	.	PUNCT
cana-1221	254	1	communications	communication	NOUN
cana-1221	254	2	on	on	ADP
cana-1221	254	3	applied	apply	VERB
cana-1221	254	4	nonlinear	nonlinear	ADJ
cana-1221	254	5	analysis	analysis	NOUN
cana-1221	254	6	issn	issn	NOUN
cana-1221	254	7	:	:	PUNCT
cana-1221	254	8	1074	1074	NUM
cana-1221	254	9	-	-	PUNCT
cana-1221	254	10	133x	133x	NUM
cana-1221	254	11	vol	vol	NOUN
cana-1221	254	12	31	31	NUM
cana-1221	254	13	no	no	NOUN
cana-1221	254	14	.	.	PUNCT
cana-1221	255	1	6s	6s	NUM
cana-1221	255	2	(	(	PUNCT
cana-1221	255	3	2024	2024	NUM
cana-1221	255	4	)	)	PUNCT
cana-1221	255	5	280	280	NUM
cana-1221	255	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1221	256	1	[	[	X
cana-1221	256	2	13	13	NUM
cana-1221	256	3	]	]	X
cana-1221	256	4	chen	chen	PROPN
cana-1221	256	5	,	,	PUNCT
cana-1221	256	6	y.	y.	PROPN
cana-1221	256	7	,	,	PUNCT
cana-1221	256	8	chen	chen	PROPN
cana-1221	256	9	,	,	PUNCT
cana-1221	256	10	w.	w.	PROPN
cana-1221	256	11	,	,	PUNCT
cana-1221	256	12	chandra	chandra	PROPN
cana-1221	256	13	pal	pal	PROPN
cana-1221	256	14	,	,	PUNCT
cana-1221	256	15	s.	s.	PROPN
cana-1221	256	16	,	,	PUNCT
cana-1221	256	17	saha	saha	PROPN
cana-1221	256	18	,	,	PUNCT
cana-1221	256	19	a.	a.	PROPN
cana-1221	256	20	,	,	PUNCT
cana-1221	256	21	chowdhuri	chowdhuri	PROPN
cana-1221	256	22	,	,	PUNCT
cana-1221	256	23	i.	i.	PROPN
cana-1221	256	24	,	,	PUNCT
cana-1221	256	25	adeli	adeli	PROPN
cana-1221	256	26	,	,	PUNCT
cana-1221	256	27	b.	b.	PROPN
cana-1221	256	28	,	,	PUNCT
cana-1221	256	29	...	...	PUNCT
cana-1221	256	30	&	&	CCONJ
cana-1221	256	31	mosavi	mosavi	PROPN
cana-1221	256	32	,	,	PUNCT
cana-1221	256	33	a.	a.	NOUN
cana-1221	256	34	(	(	PUNCT
cana-1221	256	35	2022	2022	NUM
cana-1221	256	36	)	)	PUNCT
cana-1221	256	37	.	.	PUNCT
cana-1221	257	1	evaluation	evaluation	NOUN
cana-1221	257	2	efficiency	efficiency	NOUN
cana-1221	257	3	of	of	ADP
cana-1221	257	4	hybrid	hybrid	ADJ
cana-1221	257	5	deep	deep	ADJ
cana-1221	257	6	learning	learning	NOUN
cana-1221	257	7	algorithms	algorithm	NOUN
cana-1221	257	8	with	with	ADP
cana-1221	257	9	neural	neural	ADJ
cana-1221	257	10	network	network	NOUN
cana-1221	257	11	decision	decision	NOUN
cana-1221	257	12	tree	tree	NOUN
cana-1221	257	13	and	and	CCONJ
cana-1221	257	14	boosting	boost	VERB
cana-1221	257	15	methods	method	NOUN
cana-1221	257	16	for	for	ADP
cana-1221	257	17	predicting	predict	VERB
cana-1221	257	18	water	water	NOUN
cana-1221	257	19	potential	potential	NOUN
cana-1221	257	20	.	.	PUNCT
cana-1221	258	1	geocarto	geocarto	PROPN
cana-1221	258	2	international	international	PROPN
cana-1221	258	3	,	,	PUNCT
cana-1221	258	4	37(19	37(19	NUM
cana-1221	258	5	)	)	PUNCT
cana-1221	258	6	,	,	PUNCT
cana-1221	258	7	5564	5564	NUM
cana-1221	258	8	-	-	SYM
cana-1221	258	9	5584	5584	NUM
cana-1221	258	10	.	.	PUNCT
cana-1221	259	1	[	[	X
cana-1221	259	2	14	14	NUM
cana-1221	259	3	]	]	X
cana-1221	259	4	hasanuzzaman	hasanuzzaman	ADJ
cana-1221	259	5	,	,	PUNCT
cana-1221	259	6	m.	m.	NOUN
cana-1221	259	7	,	,	PUNCT
cana-1221	259	8	mandal	mandal	PROPN
cana-1221	259	9	,	,	PUNCT
cana-1221	259	10	m.	m.	PROPN
cana-1221	259	11	h.	h.	PROPN
cana-1221	259	12	,	,	PUNCT
cana-1221	259	13	hasnine	hasnine	PROPN
cana-1221	259	14	,	,	PUNCT
cana-1221	259	15	m.	m.	NOUN
cana-1221	259	16	,	,	PUNCT
cana-1221	259	17	&	&	CCONJ
cana-1221	259	18	shit	shit	PROPN
cana-1221	259	19	,	,	PUNCT
cana-1221	259	20	p.	p.	PROPN
cana-1221	259	21	k.	k.	PROPN
cana-1221	260	1	(	(	PUNCT
cana-1221	260	2	2022	2022	NUM
cana-1221	260	3	)	)	PUNCT
cana-1221	260	4	.	.	PUNCT
cana-1221	261	1	water	water	NOUN
cana-1221	261	2	potential	potential	ADJ
cana-1221	261	3	mapping	mapping	NOUN
cana-1221	261	4	using	use	VERB
cana-1221	261	5	multi	multi	ADJ
cana-1221	261	6	-	-	ADJ
cana-1221	261	7	criteria	criterion	NOUN
cana-1221	261	8	decision	decision	NOUN
cana-1221	261	9	,	,	PUNCT
cana-1221	261	10	bivariate	bivariate	ADJ
cana-1221	261	11	statistic	statistic	NOUN
cana-1221	261	12	and	and	CCONJ
cana-1221	261	13	machine	machine	NOUN
cana-1221	261	14	learning	learning	NOUN
cana-1221	261	15	algorithms	algorithm	NOUN
cana-1221	261	16	:	:	PUNCT
cana-1221	261	17	evidence	evidence	NOUN
cana-1221	261	18	from	from	ADP
cana-1221	261	19	chota	chota	PROPN
cana-1221	261	20	nagpur	nagpur	PROPN
cana-1221	261	21	plateau	plateau	PROPN
cana-1221	261	22	,	,	PUNCT
cana-1221	261	23	india	india	PROPN
cana-1221	261	24	.	.	PROPN
cana-1221	261	25	applied	apply	VERB
cana-1221	261	26	water	water	NOUN
cana-1221	261	27	science	science	NOUN
cana-1221	261	28	,	,	PUNCT
cana-1221	261	29	12(4	12(4	NUM
cana-1221	261	30	)	)	PUNCT
cana-1221	261	31	,	,	PUNCT
cana-1221	261	32	58	58	NUM
cana-1221	261	33	.	.	PUNCT
cana-1221	262	1	[	[	X
cana-1221	262	2	15	15	NUM
cana-1221	262	3	]	]	X
cana-1221	262	4	tao	tao	PROPN
cana-1221	262	5	,	,	PUNCT
cana-1221	262	6	h.	h.	PROPN
cana-1221	262	7	,	,	PUNCT
cana-1221	262	8	hameed	hameed	PROPN
cana-1221	262	9	,	,	PUNCT
cana-1221	262	10	m.	m.	NOUN
cana-1221	262	11	m.	m.	NOUN
cana-1221	262	12	,	,	PUNCT
cana-1221	262	13	marhoon	marhoon	NOUN
cana-1221	262	14	,	,	PUNCT
cana-1221	262	15	h.	h.	PROPN
cana-1221	262	16	a.	a.	PROPN
cana-1221	262	17	,	,	PUNCT
cana-1221	262	18	zounemat	zounemat	NOUN
cana-1221	262	19	-	-	PUNCT
cana-1221	262	20	kermani	kermani	NOUN
cana-1221	262	21	,	,	PUNCT
cana-1221	262	22	m.	m.	NOUN
cana-1221	262	23	,	,	PUNCT
cana-1221	262	24	heddam	heddam	PROPN
cana-1221	262	25	,	,	PUNCT
cana-1221	262	26	s.	s.	PROPN
cana-1221	262	27	,	,	PUNCT
cana-1221	262	28	kim	kim	PROPN
cana-1221	262	29	,	,	PUNCT
cana-1221	262	30	s.	s.	PROPN
cana-1221	262	31	,	,	PUNCT
cana-1221	262	32	...	...	PUNCT
cana-1221	262	33	&	&	CCONJ
cana-1221	262	34	yaseen	yaseen	PROPN
cana-1221	262	35	,	,	PUNCT
cana-1221	262	36	z.	z.	PROPN
cana-1221	262	37	m.	m.	PROPN
cana-1221	262	38	(	(	PUNCT
cana-1221	262	39	2022	2022	NUM
cana-1221	262	40	)	)	PUNCT
cana-1221	262	41	.	.	PUNCT
cana-1221	263	1	water	water	NOUN
cana-1221	263	2	level	level	NOUN
cana-1221	263	3	prediction	prediction	NOUN
cana-1221	263	4	using	use	VERB
cana-1221	263	5	machine	machine	NOUN
cana-1221	263	6	learning	learning	NOUN
cana-1221	263	7	models	model	NOUN
cana-1221	263	8	:	:	PUNCT
cana-1221	263	9	a	a	DET
cana-1221	263	10	comprehensive	comprehensive	ADJ
cana-1221	263	11	review	review	NOUN
cana-1221	263	12	.	.	PUNCT
cana-1221	264	1	neurocomputing	neurocomputing	NOUN
cana-1221	264	2	,	,	PUNCT
cana-1221	264	3	489	489	NUM
cana-1221	264	4	,	,	PUNCT
cana-1221	264	5	271	271	NUM
cana-1221	264	6	-	-	SYM
cana-1221	264	7	308	308	NUM
cana-1221	264	8	.	.	PUNCT
cana-1221	265	1	[	[	X
cana-1221	265	2	16	16	NUM
cana-1221	265	3	]	]	X
cana-1221	265	4	martinsen	martinsen	PROPN
cana-1221	265	5	,	,	PUNCT
cana-1221	265	6	g.	g.	PROPN
cana-1221	265	7	,	,	PUNCT
cana-1221	265	8	bessiere	bessiere	ADV
cana-1221	265	9	,	,	PUNCT
cana-1221	265	10	h.	h.	PROPN
cana-1221	265	11	,	,	PUNCT
cana-1221	265	12	caballero	caballero	PROPN
cana-1221	265	13	,	,	PUNCT
cana-1221	265	14	y.	y.	PROPN
cana-1221	265	15	,	,	PUNCT
cana-1221	265	16	koch	koch	PROPN
cana-1221	265	17	,	,	PUNCT
cana-1221	265	18	j.	j.	PROPN
cana-1221	265	19	,	,	PUNCT
cana-1221	265	20	collados	collado	NOUN
cana-1221	265	21	-	-	PUNCT
cana-1221	265	22	lara	lara	NOUN
cana-1221	265	23	,	,	PUNCT
cana-1221	265	24	a.	a.	PROPN
cana-1221	265	25	j.	j.	PROPN
cana-1221	265	26	,	,	PUNCT
cana-1221	265	27	mansour	mansour	PROPN
cana-1221	265	28	,	,	PUNCT
cana-1221	265	29	m.	m.	NOUN
cana-1221	265	30	,	,	PUNCT
cana-1221	265	31	...	...	PUNCT
cana-1221	265	32	&	&	CCONJ
cana-1221	265	33	stisen	stisen	PROPN
cana-1221	265	34	,	,	PUNCT
cana-1221	265	35	s.	s.	PROPN
cana-1221	265	36	(	(	PUNCT
cana-1221	265	37	2022	2022	NUM
cana-1221	265	38	)	)	PUNCT
cana-1221	265	39	.	.	PUNCT
cana-1221	266	1	developing	develop	VERB
cana-1221	266	2	a	a	DET
cana-1221	266	3	pan	pan	ADJ
cana-1221	266	4	-	-	ADJ
cana-1221	266	5	european	european	ADJ
cana-1221	266	6	high	high	ADJ
cana-1221	266	7	-	-	PUNCT
cana-1221	266	8	resolution	resolution	NOUN
cana-1221	266	9	water	water	NOUN
cana-1221	266	10	recharge	recharge	NOUN
cana-1221	266	11	map	map	NOUN
cana-1221	266	12	–	–	PUNCT
cana-1221	266	13	combining	combine	VERB
cana-1221	266	14	satellite	satellite	NOUN
cana-1221	266	15	data	datum	NOUN
cana-1221	266	16	and	and	CCONJ
cana-1221	266	17	national	national	ADJ
cana-1221	266	18	survey	survey	NOUN
cana-1221	266	19	data	datum	NOUN
cana-1221	266	20	using	use	VERB
cana-1221	266	21	machine	machine	NOUN
cana-1221	266	22	learning	learning	NOUN
cana-1221	266	23	.	.	PUNCT
cana-1221	267	1	science	science	NOUN
cana-1221	267	2	of	of	ADP
cana-1221	267	3	the	the	DET
cana-1221	267	4	total	total	ADJ
cana-1221	267	5	environment	environment	NOUN
cana-1221	267	6	,	,	PUNCT
cana-1221	267	7	822	822	NUM
cana-1221	267	8	,	,	PUNCT
cana-1221	267	9	153464	153464	NUM
cana-1221	267	10	.	.	PUNCT
cana-1221	268	1	[	[	X
cana-1221	268	2	17	17	NUM
cana-1221	268	3	]	]	PUNCT
cana-1221	268	4	ouali	ouali	PROPN
cana-1221	268	5	,	,	PUNCT
cana-1221	268	6	l.	l.	PROPN
cana-1221	268	7	,	,	PUNCT
cana-1221	268	8	kabiri	kabiri	PROPN
cana-1221	268	9	,	,	PUNCT
cana-1221	268	10	l.	l.	PROPN
cana-1221	268	11	,	,	PUNCT
cana-1221	268	12	namous	namous	NOUN
cana-1221	268	13	,	,	PUNCT
cana-1221	268	14	m.	m.	NOUN
cana-1221	268	15	,	,	PUNCT
cana-1221	268	16	hssaisoune	hssaisoune	NOUN
cana-1221	268	17	,	,	PUNCT
cana-1221	268	18	m.	m.	NOUN
cana-1221	268	19	,	,	PUNCT
cana-1221	268	20	abdelrahman	abdelrahman	NOUN
cana-1221	268	21	,	,	PUNCT
cana-1221	268	22	k.	k.	PROPN
cana-1221	268	23	,	,	PUNCT
cana-1221	268	24	fnais	fnais	PROPN
cana-1221	268	25	,	,	PUNCT
cana-1221	268	26	m.	m.	NOUN
cana-1221	268	27	s.	s.	PROPN
cana-1221	268	28	,	,	PUNCT
cana-1221	268	29	...	...	PUNCT
cana-1221	268	30	&	&	CCONJ
cana-1221	268	31	bouchaou	bouchaou	PROPN
cana-1221	268	32	,	,	PUNCT
cana-1221	268	33	l.	l.	PROPN
cana-1221	268	34	(	(	PUNCT
cana-1221	268	35	2023	2023	NUM
cana-1221	268	36	)	)	PUNCT
cana-1221	268	37	.	.	PUNCT
cana-1221	269	1	spatial	spatial	ADJ
cana-1221	269	2	prediction	prediction	NOUN
cana-1221	269	3	of	of	ADP
cana-1221	269	4	water	water	NOUN
cana-1221	269	5	withdrawal	withdrawal	NOUN
cana-1221	269	6	potential	potential	NOUN
cana-1221	269	7	using	use	VERB
cana-1221	269	8	shallow	shallow	ADJ
cana-1221	269	9	,	,	PUNCT
cana-1221	269	10	hybrid	hybrid	NOUN
cana-1221	269	11	,	,	PUNCT
cana-1221	269	12	and	and	CCONJ
cana-1221	269	13	deep	deep	ADJ
cana-1221	269	14	learning	learning	NOUN
cana-1221	269	15	algorithms	algorithm	NOUN
cana-1221	269	16	in	in	ADP
cana-1221	269	17	the	the	DET
cana-1221	269	18	toudgha	toudgha	PROPN
cana-1221	269	19	oasis	oasis	NOUN
cana-1221	269	20	,	,	PUNCT
cana-1221	269	21	southeast	southeast	PROPN
cana-1221	269	22	morocco	morocco	PROPN
cana-1221	269	23	.	.	PUNCT
cana-1221	270	1	sustainability	sustainability	NOUN
cana-1221	270	2	,	,	PUNCT
cana-1221	270	3	15(5	15(5	NUM
cana-1221	270	4	)	)	PUNCT
cana-1221	270	5	,	,	PUNCT
cana-1221	270	6	3874	3874	NUM
cana-1221	270	7	.	.	PUNCT
cana-1221	271	1	[	[	X
cana-1221	271	2	18	18	NUM
cana-1221	271	3	]	]	X
cana-1221	271	4	madani	madani	PROPN
cana-1221	271	5	,	,	PUNCT
cana-1221	271	6	a.	a.	PROPN
cana-1221	271	7	,	,	PUNCT
cana-1221	271	8	&	&	CCONJ
cana-1221	271	9	niyazi	niyazi	PROPN
cana-1221	271	10	,	,	PUNCT
cana-1221	271	11	b.	b.	PROPN
cana-1221	271	12	(	(	PUNCT
cana-1221	271	13	2023	2023	NUM
cana-1221	271	14	)	)	PUNCT
cana-1221	271	15	.	.	PUNCT
cana-1221	272	1	water	water	NOUN
cana-1221	272	2	potential	potential	ADJ
cana-1221	272	3	mapping	mapping	NOUN
cana-1221	272	4	using	use	VERB
cana-1221	272	5	remote	remote	ADJ
cana-1221	272	6	sensing	sensing	NOUN
cana-1221	272	7	and	and	CCONJ
cana-1221	272	8	random	random	ADJ
cana-1221	272	9	forest	forest	NOUN
cana-1221	272	10	machine	machine	NOUN
cana-1221	272	11	learning	learn	VERB
cana-1221	272	12	model	model	NOUN
cana-1221	272	13	:	:	PUNCT
cana-1221	272	14	a	a	DET
cana-1221	272	15	case	case	NOUN
cana-1221	272	16	study	study	NOUN
cana-1221	272	17	from	from	ADP
cana-1221	272	18	lower	low	ADJ
cana-1221	272	19	part	part	NOUN
cana-1221	272	20	of	of	ADP
cana-1221	272	21	wadi	wadi	PROPN
cana-1221	272	22	yalamlam	yalamlam	PROPN
cana-1221	272	23	,	,	PUNCT
cana-1221	272	24	western	western	ADJ
cana-1221	272	25	saudi	saudi	PROPN
cana-1221	272	26	arabia	arabia	PROPN
cana-1221	272	27	.	.	PUNCT
cana-1221	273	1	sustainability	sustainability	NOUN
cana-1221	273	2	,	,	PUNCT
cana-1221	273	3	15(3	15(3	NUM
cana-1221	273	4	)	)	PUNCT
cana-1221	273	5	,	,	PUNCT
cana-1221	273	6	2772	2772	NUM
cana-1221	273	7	.	.	PUNCT
cana-1221	274	1	[	[	X
cana-1221	274	2	19	19	NUM
cana-1221	274	3	]	]	X
cana-1221	274	4	https://www.kaggle.com/datasets/apollo2506/eurosat-dataset	https://www.kaggle.com/datasets/apollo2506/eurosat-dataset	NOUN