id	sid	tid	token	lemma	pos
cana-4626	1	1	communications	communication	NOUN
cana-4626	1	2	on	on	ADP
cana-4626	1	3	applied	apply	VERB
cana-4626	1	4	nonlinear	nonlinear	ADJ
cana-4626	1	5	analysis	analysis	NOUN
cana-4626	1	6	issn	issn	NOUN
cana-4626	1	7	:	:	PUNCT
cana-4626	1	8	1074	1074	NUM
cana-4626	1	9	-	-	PUNCT
cana-4626	1	10	133x	133x	NUM
cana-4626	1	11	vol	vol	NOUN
cana-4626	1	12	32	32	NUM
cana-4626	1	13	no	no	NOUN
cana-4626	1	14	.	.	PUNCT
cana-4626	2	1	9s	9s	NUM
cana-4626	2	2	(	(	PUNCT
cana-4626	2	3	2025	2025	NUM
cana-4626	2	4	)	)	PUNCT
cana-4626	2	5	3111	3111	NUM
cana-4626	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4626	2	7	development	development	NOUN
cana-4626	2	8	of	of	ADP
cana-4626	2	9	statistical	statistical	ADJ
cana-4626	2	10	models	model	NOUN
cana-4626	2	11	for	for	ADP
cana-4626	2	12	assessing	assess	VERB
cana-4626	2	13	pollutant	pollutant	ADJ
cana-4626	2	14	transport	transport	NOUN
cana-4626	2	15	and	and	CCONJ
cana-4626	2	16	intensity	intensity	NOUN
cana-4626	2	17	in	in	ADP
cana-4626	2	18	local	local	ADJ
cana-4626	2	19	water	water	NOUN
cana-4626	2	20	systems	system	NOUN
cana-4626	2	21	giang	giang	PROPN
cana-4626	2	22	trung	trung	PROPN
cana-4626	2	23	minh	minh	PROPN
cana-4626	2	24	duc	duc	PROPN
cana-4626	2	25	independent	independent	PROPN
cana-4626	2	26	researcher	researcher	PROPN
cana-4626	2	27	,	,	PUNCT
cana-4626	2	28	amsterdam	amsterdam	PROPN
cana-4626	2	29	highschool	highschool	PROPN
cana-4626	2	30	for	for	ADP
cana-4626	2	31	gifted	gifted	ADJ
cana-4626	2	32	,	,	PUNCT
cana-4626	2	33	hanoi	hanoi	PROPN
cana-4626	2	34	,	,	PUNCT
cana-4626	2	35	vietnam	vietnam	PROPN
cana-4626	2	36	.	.	PUNCT
cana-4626	3	1	ducminh.ams@gmail.com	ducminh.ams@gmail.com	PROPN
cana-4626	3	2	article	article	NOUN
cana-4626	3	3	history	history	NOUN
cana-4626	3	4	:	:	PUNCT
cana-4626	3	5	received	receive	VERB
cana-4626	3	6	:	:	PUNCT
cana-4626	3	7	12	12	NUM
cana-4626	3	8	-	-	SYM
cana-4626	3	9	01	01	NUM
cana-4626	3	10	-	-	PUNCT
cana-4626	3	11	2025	2025	NUM
cana-4626	3	12	revised	revise	VERB
cana-4626	3	13	:	:	PUNCT
cana-4626	3	14	15	15	NUM
cana-4626	3	15	-	-	NUM
cana-4626	3	16	02	02	NUM
cana-4626	3	17	-	-	PUNCT
cana-4626	3	18	2025	2025	NUM
cana-4626	3	19	accepted	accept	VERB
cana-4626	3	20	:	:	PUNCT
cana-4626	3	21	01	01	NUM
cana-4626	3	22	-	-	SYM
cana-4626	3	23	03	03	NUM
cana-4626	3	24	-	-	PUNCT
cana-4626	3	25	2025	2025	NUM
cana-4626	3	26	abstract	abstract	NOUN
cana-4626	3	27	:	:	PUNCT
cana-4626	3	28	introduction	introduction	NOUN
cana-4626	3	29	:	:	PUNCT
cana-4626	3	30	assessing	assess	VERB
cana-4626	3	31	pollutant	pollutant	ADJ
cana-4626	3	32	transport	transport	NOUN
cana-4626	3	33	and	and	CCONJ
cana-4626	3	34	intensity	intensity	NOUN
cana-4626	3	35	in	in	ADP
cana-4626	3	36	local	local	ADJ
cana-4626	3	37	water	water	NOUN
cana-4626	3	38	systems	system	NOUN
cana-4626	3	39	is	be	AUX
cana-4626	3	40	essential	essential	ADJ
cana-4626	3	41	for	for	ADP
cana-4626	3	42	effective	effective	ADJ
cana-4626	3	43	groundwater	groundwater	NOUN
cana-4626	3	44	(	(	PUNCT
cana-4626	3	45	gw	gw	NOUN
cana-4626	3	46	)	)	PUNCT
cana-4626	3	47	pollution	pollution	NOUN
cana-4626	3	48	risk	risk	NOUN
cana-4626	3	49	management	management	NOUN
cana-4626	3	50	.	.	PUNCT
cana-4626	4	1	traditional	traditional	ADJ
cana-4626	4	2	vulnerability	vulnerability	NOUN
cana-4626	4	3	assessment	assessment	NOUN
cana-4626	4	4	methods	method	NOUN
cana-4626	4	5	often	often	ADV
cana-4626	4	6	fail	fail	VERB
cana-4626	4	7	to	to	PART
cana-4626	4	8	adequately	adequately	ADV
cana-4626	4	9	account	account	VERB
cana-4626	4	10	for	for	ADP
cana-4626	4	11	pollutant	pollutant	ADJ
cana-4626	4	12	concentrations	concentration	NOUN
cana-4626	4	13	,	,	PUNCT
cana-4626	4	14	especially	especially	ADV
cana-4626	4	15	under	under	ADP
cana-4626	4	16	varying	vary	VERB
cana-4626	4	17	hydrogeological	hydrogeological	ADJ
cana-4626	4	18	conditions	condition	NOUN
cana-4626	4	19	.	.	PUNCT
cana-4626	5	1	objective	objective	NOUN
cana-4626	5	2	:	:	PUNCT
cana-4626	5	3	in	in	ADP
cana-4626	5	4	this	this	DET
cana-4626	5	5	research	research	NOUN
cana-4626	5	6	,	,	PUNCT
cana-4626	5	7	a	a	DET
cana-4626	5	8	statistical	statistical	ADJ
cana-4626	5	9	model	model	NOUN
cana-4626	5	10	is	be	AUX
cana-4626	5	11	developed	develop	VERB
cana-4626	5	12	to	to	PART
cana-4626	5	13	integrate	integrate	VERB
cana-4626	5	14	pollutant	pollutant	ADJ
cana-4626	5	15	concentration	concentration	NOUN
cana-4626	5	16	data	datum	NOUN
cana-4626	5	17	,	,	PUNCT
cana-4626	5	18	enhancing	enhance	VERB
cana-4626	5	19	gw	gw	PROPN
cana-4626	5	20	vulnerability	vulnerability	NOUN
cana-4626	5	21	assessments	assessment	NOUN
cana-4626	5	22	and	and	CCONJ
cana-4626	5	23	addressing	address	VERB
cana-4626	5	24	the	the	DET
cana-4626	5	25	limitations	limitation	NOUN
cana-4626	5	26	of	of	ADP
cana-4626	5	27	traditional	traditional	ADJ
cana-4626	5	28	methods	method	NOUN
cana-4626	5	29	.	.	PUNCT
cana-4626	6	1	method	method	NOUN
cana-4626	6	2	:	:	PUNCT
cana-4626	6	3	using	use	VERB
cana-4626	6	4	nitrate	nitrate	NOUN
cana-4626	6	5	nitrogen	nitrogen	NOUN
cana-4626	6	6	as	as	ADP
cana-4626	6	7	an	an	DET
cana-4626	6	8	indicator	indicator	NOUN
cana-4626	6	9	of	of	ADP
cana-4626	6	10	gw	gw	PROPN
cana-4626	6	11	pollution	pollution	NOUN
cana-4626	6	12	intensity	intensity	NOUN
cana-4626	6	13	(	(	PUNCT
cana-4626	6	14	gpi	gpi	PROPN
cana-4626	6	15	)	)	PUNCT
cana-4626	6	16	,	,	PUNCT
cana-4626	6	17	the	the	DET
cana-4626	6	18	model	model	NOUN
cana-4626	6	19	identifies	identify	VERB
cana-4626	6	20	key	key	ADJ
cana-4626	6	21	influencing	influence	VERB
cana-4626	6	22	features	feature	NOUN
cana-4626	6	23	,	,	PUNCT
cana-4626	6	24	such	such	ADJ
cana-4626	6	25	as	as	ADP
cana-4626	6	26	diffusion	diffusion	NOUN
cana-4626	6	27	coefficient	coefficient	NOUN
cana-4626	6	28	,	,	PUNCT
cana-4626	6	29	emission	emission	NOUN
cana-4626	6	30	concentration	concentration	NOUN
cana-4626	6	31	,	,	PUNCT
cana-4626	6	32	soil	soil	NOUN
cana-4626	6	33	density	density	NOUN
cana-4626	6	34	,	,	PUNCT
cana-4626	6	35	hydraulic	hydraulic	ADJ
cana-4626	6	36	conductivity	conductivity	NOUN
cana-4626	6	37	,	,	PUNCT
cana-4626	6	38	gw	gw	PROPN
cana-4626	6	39	recharge	recharge	NOUN
cana-4626	6	40	rate	rate	NOUN
cana-4626	6	41	,	,	PUNCT
cana-4626	6	42	soil	soil	NOUN
cana-4626	6	43	porosity	porosity	NOUN
cana-4626	6	44	,	,	PUNCT
cana-4626	6	45	aquifer	aquifer	NOUN
cana-4626	6	46	depth	depth	NOUN
cana-4626	6	47	,	,	PUNCT
cana-4626	6	48	and	and	CCONJ
cana-4626	6	49	land	land	NOUN
cana-4626	6	50	use	use	NOUN
cana-4626	6	51	type	type	NOUN
cana-4626	6	52	through	through	ADP
cana-4626	6	53	principal	principal	ADJ
cana-4626	6	54	component	component	NOUN
cana-4626	6	55	analysis	analysis	NOUN
cana-4626	6	56	(	(	PUNCT
cana-4626	6	57	pca	pca	NOUN
cana-4626	6	58	)	)	PUNCT
cana-4626	6	59	.	.	PUNCT
cana-4626	7	1	these	these	DET
cana-4626	7	2	factors	factor	NOUN
cana-4626	7	3	are	be	AUX
cana-4626	7	4	used	use	VERB
cana-4626	7	5	to	to	PART
cana-4626	7	6	develop	develop	VERB
cana-4626	7	7	an	an	DET
cana-4626	7	8	intelligent	intelligent	ADJ
cana-4626	7	9	random	random	ADJ
cana-4626	7	10	forest	forest	NOUN
cana-4626	7	11	(	(	PUNCT
cana-4626	7	12	int	int	NOUN
cana-4626	7	13	-	-	PUNCT
cana-4626	7	14	rf	rf	NOUN
cana-4626	7	15	)	)	PUNCT
cana-4626	7	16	model	model	NOUN
cana-4626	7	17	for	for	ADP
cana-4626	7	18	gpi	gpi	PROPN
cana-4626	7	19	prediction	prediction	NOUN
cana-4626	7	20	at	at	ADP
cana-4626	7	21	contaminated	contaminate	VERB
cana-4626	7	22	sites	site	NOUN
cana-4626	7	23	.	.	PUNCT
cana-4626	8	1	result	result	VERB
cana-4626	8	2	:	:	PUNCT
cana-4626	8	3	the	the	DET
cana-4626	8	4	int	int	NOUN
cana-4626	8	5	-	-	PUNCT
cana-4626	8	6	rf	rf	NOUN
cana-4626	8	7	method	method	NOUN
cana-4626	8	8	attained	attain	VERB
cana-4626	8	9	an	an	DET
cana-4626	8	10	overall	overall	ADJ
cana-4626	8	11	accuracy	accuracy	NOUN
cana-4626	8	12	of	of	ADP
cana-4626	8	13	95.3	95.3	NUM
cana-4626	8	14	%	%	NOUN
cana-4626	8	15	,	,	PUNCT
cana-4626	8	16	with	with	ADP
cana-4626	8	17	a	a	DET
cana-4626	8	18	mean	mean	ADJ
cana-4626	8	19	absolute	absolute	ADJ
cana-4626	8	20	error	error	NOUN
cana-4626	8	21	(	(	PUNCT
cana-4626	8	22	mae	mae	PROPN
cana-4626	8	23	)	)	PUNCT
cana-4626	8	24	of	of	ADP
cana-4626	8	25	0.38	0.38	NUM
cana-4626	8	26	and	and	CCONJ
cana-4626	8	27	a	a	DET
cana-4626	8	28	root	root	NOUN
cana-4626	8	29	mean	mean	NOUN
cana-4626	8	30	square	square	ADJ
cana-4626	8	31	error	error	NOUN
cana-4626	8	32	(	(	PUNCT
cana-4626	8	33	rmse	rmse	NOUN
cana-4626	8	34	)	)	PUNCT
cana-4626	8	35	of	of	ADP
cana-4626	8	36	0.42	0.42	NUM
cana-4626	8	37	.	.	PUNCT
cana-4626	9	1	the	the	DET
cana-4626	9	2	method	method	NOUN
cana-4626	9	3	’s	’s	PART
cana-4626	9	4	efficiency	efficiency	NOUN
cana-4626	9	5	is	be	AUX
cana-4626	9	6	also	also	ADV
cana-4626	9	7	assessed	assess	VERB
cana-4626	9	8	using	use	VERB
cana-4626	9	9	cross	cross	NOUN
cana-4626	9	10	-	-	NOUN
cana-4626	9	11	validation	validation	NOUN
cana-4626	9	12	,	,	PUNCT
cana-4626	9	13	resulting	result	VERB
cana-4626	9	14	in	in	ADP
cana-4626	9	15	a	a	DET
cana-4626	9	16	mean	mean	ADJ
cana-4626	9	17	r²	r²	NOUN
cana-4626	9	18	value	value	NOUN
cana-4626	9	19	of	of	ADP
cana-4626	9	20	0.94	0.94	NUM
cana-4626	9	21	,	,	PUNCT
cana-4626	9	22	indicating	indicate	VERB
cana-4626	9	23	strong	strong	ADJ
cana-4626	9	24	predictive	predictive	ADJ
cana-4626	9	25	capability	capability	NOUN
cana-4626	9	26	.	.	PUNCT
cana-4626	10	1	a	a	DET
cana-4626	10	2	comparison	comparison	NOUN
cana-4626	10	3	with	with	ADP
cana-4626	10	4	traditional	traditional	ADJ
cana-4626	10	5	simulation	simulation	NOUN
cana-4626	10	6	-	-	PUNCT
cana-4626	10	7	based	base	VERB
cana-4626	10	8	methods	method	NOUN
cana-4626	10	9	demonstrated	demonstrate	VERB
cana-4626	10	10	an	an	DET
cana-4626	10	11	improvement	improvement	NOUN
cana-4626	10	12	in	in	ADP
cana-4626	10	13	prediction	prediction	NOUN
cana-4626	10	14	efficiency	efficiency	NOUN
cana-4626	10	15	and	and	CCONJ
cana-4626	10	16	a	a	DET
cana-4626	10	17	reduction	reduction	NOUN
cana-4626	10	18	in	in	ADP
cana-4626	10	19	error	error	NOUN
cana-4626	10	20	.	.	PUNCT
cana-4626	11	1	the	the	DET
cana-4626	11	2	system	system	NOUN
cana-4626	11	3	’s	’s	PART
cana-4626	11	4	forecasts	forecast	NOUN
cana-4626	11	5	directly	directly	ADV
cana-4626	11	6	aligned	align	VERB
cana-4626	11	7	with	with	ADP
cana-4626	11	8	real	real	ADJ
cana-4626	11	9	measured	measure	VERB
cana-4626	11	10	gpi	gpi	NOUN
cana-4626	11	11	rates	rate	NOUN
cana-4626	11	12	,	,	PUNCT
cana-4626	11	13	with	with	ADP
cana-4626	11	14	a	a	DET
cana-4626	11	15	𝑟coefficient	𝑟coefficient	NOUN
cana-4626	11	16	of	of	ADP
cana-4626	11	17	0.94	0.94	NUM
cana-4626	11	18	and	and	CCONJ
cana-4626	11	19	a	a	DET
cana-4626	11	20	p	p	NOUN
cana-4626	11	21	-	-	PUNCT
cana-4626	11	22	value	value	NOUN
cana-4626	11	23	<	<	X
cana-4626	11	24	0.01	0.01	NUM
cana-4626	11	25	from	from	ADP
cana-4626	11	26	significance	significance	NOUN
cana-4626	11	27	testing	testing	NOUN
cana-4626	11	28	,	,	PUNCT
cana-4626	11	29	confirming	confirm	VERB
cana-4626	11	30	the	the	DET
cana-4626	11	31	reliability	reliability	NOUN
cana-4626	11	32	of	of	ADP
cana-4626	11	33	the	the	DET
cana-4626	11	34	system	system	NOUN
cana-4626	11	35	.	.	PUNCT
cana-4626	12	1	conclusion	conclusion	NOUN
cana-4626	12	2	:	:	PUNCT
cana-4626	12	3	the	the	DET
cana-4626	12	4	findings	finding	NOUN
cana-4626	12	5	indicate	indicate	VERB
cana-4626	12	6	that	that	SCONJ
cana-4626	12	7	the	the	DET
cana-4626	12	8	int	int	NOUN
cana-4626	12	9	-	-	PUNCT
cana-4626	12	10	rf	rf	ADJ
cana-4626	12	11	system	system	NOUN
cana-4626	12	12	is	be	AUX
cana-4626	12	13	a	a	DET
cana-4626	12	14	practical	practical	ADJ
cana-4626	12	15	and	and	CCONJ
cana-4626	12	16	efficient	efficient	ADJ
cana-4626	12	17	tool	tool	NOUN
cana-4626	12	18	for	for	ADP
cana-4626	12	19	gw	gw	PROPN
cana-4626	12	20	source	source	NOUN
cana-4626	12	21	management	management	NOUN
cana-4626	12	22	and	and	CCONJ
cana-4626	12	23	land	land	NOUN
cana-4626	12	24	use	use	NOUN
cana-4626	12	25	planning	planning	NOUN
cana-4626	12	26	,	,	PUNCT
cana-4626	12	27	especially	especially	ADV
cana-4626	12	28	in	in	ADP
cana-4626	12	29	regions	region	NOUN
cana-4626	12	30	with	with	ADP
cana-4626	12	31	limited	limited	ADJ
cana-4626	12	32	data	datum	NOUN
cana-4626	12	33	.	.	PUNCT
cana-4626	13	1	keywords	keyword	NOUN
cana-4626	13	2	:	:	PUNCT
cana-4626	13	3	groundwater	groundwater	NOUN
cana-4626	13	4	(	(	PUNCT
cana-4626	13	5	gw	gw	NOUN
cana-4626	13	6	)	)	PUNCT
cana-4626	13	7	pollution	pollution	NOUN
cana-4626	13	8	,	,	PUNCT
cana-4626	13	9	pollution	pollution	NOUN
cana-4626	13	10	intensity	intensity	NOUN
cana-4626	13	11	,	,	PUNCT
cana-4626	13	12	ammonia	ammonia	NOUN
cana-4626	13	13	nitrogen	nitrogen	NOUN
cana-4626	13	14	,	,	PUNCT
cana-4626	13	15	principal	principal	ADJ
cana-4626	13	16	component	component	NOUN
cana-4626	13	17	analysis	analysis	NOUN
cana-4626	13	18	(	(	PUNCT
cana-4626	13	19	pca	pca	NOUN
cana-4626	13	20	)	)	PUNCT
cana-4626	13	21	,	,	PUNCT
cana-4626	13	22	intelligent	intelligent	ADJ
cana-4626	13	23	random	random	ADJ
cana-4626	13	24	forest	forest	NOUN
cana-4626	13	25	(	(	PUNCT
cana-4626	13	26	int	int	NOUN
cana-4626	13	27	-	-	PUNCT
cana-4626	13	28	rf	rf	NOUN
cana-4626	13	29	)	)	PUNCT
cana-4626	13	30	,	,	PUNCT
cana-4626	13	31	groundwater	groundwater	NOUN
cana-4626	13	32	vulnerability	vulnerability	NOUN
cana-4626	13	33	,	,	PUNCT
cana-4626	13	34	pollutant	pollutant	ADJ
cana-4626	13	35	transport	transport	NOUN
cana-4626	13	36	.	.	PUNCT
cana-4626	14	1	1	1	X
cana-4626	14	2	.	.	X
cana-4626	14	3	introduction	introduction	NOUN
cana-4626	14	4	groundwater	groundwater	NOUN
cana-4626	14	5	(	(	PUNCT
cana-4626	14	6	gw	gw	PROPN
cana-4626	14	7	)	)	PUNCT
cana-4626	14	8	is	be	AUX
cana-4626	14	9	a	a	DET
cana-4626	14	10	major	major	ADJ
cana-4626	14	11	resource	resource	NOUN
cana-4626	14	12	for	for	ADP
cana-4626	14	13	the	the	DET
cana-4626	14	14	environment	environment	NOUN
cana-4626	14	15	,	,	PUNCT
cana-4626	14	16	specifically	specifically	ADV
cana-4626	14	17	in	in	ADP
cana-4626	14	18	dry	dry	ADJ
cana-4626	14	19	areas	area	NOUN
cana-4626	14	20	where	where	SCONJ
cana-4626	14	21	gw	gw	PROPN
cana-4626	14	22	resources	resource	NOUN
cana-4626	14	23	are	be	AUX
cana-4626	14	24	insufficient	insufficient	ADJ
cana-4626	14	25	and	and	CCONJ
cana-4626	14	26	precipitation	precipitation	NOUN
cana-4626	14	27	is	be	AUX
cana-4626	14	28	small	small	ADJ
cana-4626	14	29	.	.	PUNCT
cana-4626	15	1	as	as	ADP
cana-4626	15	2	a	a	DET
cana-4626	15	3	result	result	NOUN
cana-4626	15	4	,	,	PUNCT
cana-4626	15	5	degradation	degradation	NOUN
cana-4626	15	6	in	in	ADP
cana-4626	15	7	the	the	DET
cana-4626	15	8	excellence	excellence	NOUN
cana-4626	15	9	of	of	ADP
cana-4626	15	10	gw	gw	PROPN
cana-4626	15	11	,	,	PUNCT
cana-4626	15	12	which	which	PRON
cana-4626	15	13	is	be	AUX
cana-4626	15	14	the	the	DET
cana-4626	15	15	foundation	foundation	NOUN
cana-4626	15	16	of	of	ADP
cana-4626	15	17	the	the	DET
cana-4626	15	18	consumption	consumption	NOUN
cana-4626	15	19	of	of	ADP
cana-4626	15	20	water	water	NOUN
cana-4626	15	21	in	in	ADP
cana-4626	15	22	some	some	DET
cana-4626	15	23	places	place	NOUN
cana-4626	15	24	,	,	PUNCT
cana-4626	15	25	endangers	endanger	VERB
cana-4626	15	26	the	the	DET
cana-4626	15	27	wellbeing	wellbeing	NOUN
cana-4626	15	28	of	of	ADP
cana-4626	15	29	the	the	DET
cana-4626	15	30	residents	resident	NOUN
cana-4626	15	31	.	.	PUNCT
cana-4626	16	1	around	around	ADV
cana-4626	16	2	one	one	NUM
cana-4626	16	3	-	-	PUNCT
cana-4626	16	4	third	third	NOUN
cana-4626	16	5	of	of	ADP
cana-4626	16	6	the	the	DET
cana-4626	16	7	world	world	NOUN
cana-4626	16	8	's	's	PART
cana-4626	16	9	populace	populace	NOUN
cana-4626	16	10	uses	use	VERB
cana-4626	16	11	gw	gw	PROPN
cana-4626	16	12	for	for	ADP
cana-4626	16	13	various	various	ADJ
cana-4626	16	14	functions	function	NOUN
cana-4626	16	15	,	,	PUNCT
cana-4626	16	16	like	like	ADP
cana-4626	16	17	agriculture	agriculture	NOUN
cana-4626	16	18	,	,	PUNCT
cana-4626	16	19	household	household	NOUN
cana-4626	16	20	,	,	PUNCT
cana-4626	16	21	and	and	CCONJ
cana-4626	16	22	industry	industry	NOUN
cana-4626	16	23	(	(	PUNCT
cana-4626	16	24	maqsoom	maqsoom	NOUN
cana-4626	16	25	et	et	PROPN
cana-4626	16	26	al	al	PROPN
cana-4626	16	27	.	.	PROPN
cana-4626	16	28	,	,	PUNCT
cana-4626	16	29	2020	2020	NUM
cana-4626	16	30	)	)	PUNCT
cana-4626	16	31	.	.	PUNCT
cana-4626	17	1	numerous	numerous	ADJ
cana-4626	17	2	pollutants	pollutant	NOUN
cana-4626	17	3	,	,	PUNCT
cana-4626	17	4	such	such	ADJ
cana-4626	17	5	as	as	ADP
cana-4626	17	6	nitrate	nitrate	NOUN
cana-4626	17	7	,	,	PUNCT
cana-4626	17	8	enter	enter	VERB
cana-4626	17	9	the	the	DET
cana-4626	17	10	soil	soil	NOUN
cana-4626	17	11	and	and	CCONJ
cana-4626	17	12	contaminate	contaminate	VERB
cana-4626	17	13	gw	gw	PRON
cana-4626	17	14	.	.	PUNCT
cana-4626	18	1	as	as	ADP
cana-4626	18	2	a	a	DET
cana-4626	18	3	result	result	NOUN
cana-4626	18	4	,	,	PUNCT
cana-4626	18	5	safe	safe	ADJ
cana-4626	18	6	consumption	consumption	NOUN
cana-4626	18	7	of	of	ADP
cana-4626	18	8	water	water	NOUN
cana-4626	18	9	resources	resource	NOUN
cana-4626	18	10	and	and	CCONJ
cana-4626	18	11	communications	communication	NOUN
cana-4626	18	12	on	on	ADP
cana-4626	18	13	applied	apply	VERB
cana-4626	18	14	nonlinear	nonlinear	ADJ
cana-4626	18	15	analysis	analysis	NOUN
cana-4626	18	16	issn	issn	NOUN
cana-4626	18	17	:	:	PUNCT
cana-4626	18	18	1074	1074	NUM
cana-4626	18	19	-	-	PUNCT
cana-4626	18	20	133x	133x	NUM
cana-4626	18	21	vol	vol	NOUN
cana-4626	18	22	32	32	NUM
cana-4626	18	23	no	no	NOUN
cana-4626	18	24	.	.	PUNCT
cana-4626	19	1	9s	9s	NUM
cana-4626	19	2	(	(	PUNCT
cana-4626	19	3	2025	2025	NUM
cana-4626	19	4	)	)	PUNCT
cana-4626	19	5	3112	3112	NUM
cana-4626	20	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4626	20	2	declining	decline	VERB
cana-4626	20	3	gw	gw	PROPN
cana-4626	20	4	superiority	superiority	NOUN
cana-4626	20	5	are	be	AUX
cana-4626	20	6	critical	critical	ADJ
cana-4626	20	7	challenges	challenge	NOUN
cana-4626	20	8	across	across	ADP
cana-4626	20	9	the	the	DET
cana-4626	20	10	world	world	NOUN
cana-4626	20	11	.	.	PUNCT
cana-4626	21	1	the	the	DET
cana-4626	21	2	linked	link	VERB
cana-4626	21	3	gw	gw	PROPN
cana-4626	21	4	susceptibility	susceptibility	NOUN
cana-4626	21	5	and	and	CCONJ
cana-4626	21	6	pollution	pollution	NOUN
cana-4626	21	7	risk	risk	NOUN
cana-4626	21	8	assessment	assessment	NOUN
cana-4626	21	9	are	be	AUX
cana-4626	21	10	critical	critical	ADJ
cana-4626	21	11	for	for	ADP
cana-4626	21	12	gw	gw	PROPN
cana-4626	21	13	pollution	pollution	NOUN
cana-4626	21	14	prevention	prevention	NOUN
cana-4626	21	15	.	.	PUNCT
cana-4626	22	1	nitrate	nitrate	NOUN
cana-4626	22	2	concentrations	concentration	NOUN
cana-4626	22	3	and	and	CCONJ
cana-4626	22	4	accompanying	accompany	VERB
cana-4626	22	5	water	water	NOUN
cana-4626	22	6	contamination	contamination	NOUN
cana-4626	22	7	are	be	AUX
cana-4626	22	8	mostly	mostly	ADV
cana-4626	22	9	caused	cause	VERB
cana-4626	22	10	by	by	ADP
cana-4626	22	11	nitrogen	nitrogen	NOUN
cana-4626	22	12	,	,	PUNCT
cana-4626	22	13	which	which	PRON
cana-4626	22	14	is	be	AUX
cana-4626	22	15	located	locate	VERB
cana-4626	22	16	beneath	beneath	ADP
cana-4626	22	17	the	the	DET
cana-4626	22	18	agricultural	agricultural	ADJ
cana-4626	22	19	surface	surface	NOUN
cana-4626	22	20	.	.	PUNCT
cana-4626	23	1	water	water	NOUN
cana-4626	23	2	functions	function	NOUN
cana-4626	23	3	as	as	ADP
cana-4626	23	4	a	a	DET
cana-4626	23	5	transporter	transporter	NOUN
cana-4626	23	6	through	through	ADP
cana-4626	23	7	the	the	DET
cana-4626	23	8	soil	soil	NOUN
cana-4626	23	9	,	,	PUNCT
cana-4626	23	10	combining	combine	VERB
cana-4626	23	11	with	with	ADP
cana-4626	23	12	nitrate	nitrate	NOUN
cana-4626	23	13	concentrations	concentration	NOUN
cana-4626	23	14	to	to	PART
cana-4626	23	15	enable	enable	VERB
cana-4626	23	16	them	they	PRON
cana-4626	23	17	to	to	PART
cana-4626	23	18	reach	reach	VERB
cana-4626	23	19	the	the	DET
cana-4626	23	20	gw	gw	PROPN
cana-4626	23	21	table	table	NOUN
cana-4626	23	22	(	(	PUNCT
cana-4626	23	23	ullah	ullah	PROPN
cana-4626	23	24	et	et	PROPN
cana-4626	23	25	al	al	PROPN
cana-4626	23	26	.	.	PROPN
cana-4626	23	27	,	,	PUNCT
cana-4626	23	28	2021	2021	NUM
cana-4626	23	29	)	)	PUNCT
cana-4626	23	30	.	.	PUNCT
cana-4626	24	1	given	give	VERB
cana-4626	24	2	the	the	DET
cana-4626	24	3	constant	constant	ADJ
cana-4626	24	4	annual	annual	ADJ
cana-4626	24	5	nitrogen	nitrogen	NOUN
cana-4626	24	6	input	input	NOUN
cana-4626	24	7	to	to	ADP
cana-4626	24	8	the	the	DET
cana-4626	24	9	terrestrial	terrestrial	ADJ
cana-4626	24	10	surface	surface	NOUN
cana-4626	24	11	,	,	PUNCT
cana-4626	24	12	these	these	DET
cana-4626	24	13	nitrates	nitrate	NOUN
cana-4626	24	14	remain	remain	VERB
cana-4626	24	15	at	at	ADP
cana-4626	24	16	the	the	DET
cana-4626	24	17	gw	gw	PROPN
cana-4626	24	18	level	level	NOUN
cana-4626	24	19	for	for	ADP
cana-4626	24	20	an	an	DET
cana-4626	24	21	extensive	extensive	ADJ
cana-4626	24	22	time	time	NOUN
cana-4626	24	23	.	.	PUNCT
cana-4626	25	1	understanding	understand	VERB
cana-4626	25	2	the	the	DET
cana-4626	25	3	consequences	consequence	NOUN
cana-4626	25	4	of	of	ADP
cana-4626	25	5	gw	gw	PROPN
cana-4626	25	6	susceptibility	susceptibility	NOUN
cana-4626	25	7	in	in	ADP
cana-4626	25	8	regions	region	NOUN
cana-4626	25	9	where	where	SCONJ
cana-4626	25	10	it	it	PRON
cana-4626	25	11	serves	serve	VERB
cana-4626	25	12	as	as	ADP
cana-4626	25	13	a	a	DET
cana-4626	25	14	communal	communal	ADJ
cana-4626	25	15	water	water	NOUN
cana-4626	25	16	-	-	PUNCT
cana-4626	25	17	providing	provide	VERB
cana-4626	25	18	source	source	NOUN
cana-4626	25	19	is	be	AUX
cana-4626	25	20	critical	critical	ADJ
cana-4626	25	21	to	to	ADP
cana-4626	25	22	gw	gw	PROPN
cana-4626	25	23	protection	protection	NOUN
cana-4626	25	24	.	.	PUNCT
cana-4626	26	1	gw	gw	PROPN
cana-4626	26	2	has	have	VERB
cana-4626	26	3	two	two	NUM
cana-4626	26	4	dangers	danger	NOUN
cana-4626	26	5	and	and	CCONJ
cana-4626	26	6	requires	require	VERB
cana-4626	26	7	a	a	DET
cana-4626	26	8	simultaneous	simultaneous	ADJ
cana-4626	26	9	protection	protection	NOUN
cana-4626	26	10	approach	approach	NOUN
cana-4626	26	11	(	(	PUNCT
cana-4626	26	12	awais	awais	X
cana-4626	26	13	et	et	PROPN
cana-4626	26	14	al	al	PROPN
cana-4626	26	15	.	.	PROPN
cana-4626	26	16	,	,	PUNCT
cana-4626	26	17	2021	2021	NUM
cana-4626	26	18	)	)	PUNCT
cana-4626	26	19	.	.	PUNCT
cana-4626	27	1	the	the	DET
cana-4626	27	2	hazard	hazard	NOUN
cana-4626	27	3	evaluation	evaluation	NOUN
cana-4626	27	4	differs	differ	VERB
cana-4626	27	5	from	from	ADP
cana-4626	27	6	the	the	DET
cana-4626	27	7	evaluation	evaluation	NOUN
cana-4626	27	8	of	of	ADP
cana-4626	27	9	gw	gw	PROPN
cana-4626	27	10	's	's	PART
cana-4626	27	11	susceptibility	susceptibility	NOUN
cana-4626	27	12	to	to	ADP
cana-4626	27	13	contamination	contamination	NOUN
cana-4626	27	14	.	.	PUNCT
cana-4626	28	1	the	the	DET
cana-4626	28	2	perception	perception	NOUN
cana-4626	28	3	of	of	ADP
cana-4626	28	4	gw	gw	PROPN
cana-4626	28	5	susceptibility	susceptibility	NOUN
cana-4626	28	6	is	be	AUX
cana-4626	28	7	to	to	PART
cana-4626	28	8	estimate	estimate	VERB
cana-4626	28	9	the	the	DET
cana-4626	28	10	potential	potential	NOUN
cana-4626	28	11	for	for	SCONJ
cana-4626	28	12	gw	gw	PROPN
cana-4626	28	13	sources	source	NOUN
cana-4626	28	14	to	to	PART
cana-4626	28	15	be	be	AUX
cana-4626	28	16	negatively	negatively	ADV
cana-4626	28	17	influenced	influence	VERB
cana-4626	28	18	by	by	ADP
cana-4626	28	19	an	an	DET
cana-4626	28	20	obligatory	obligatory	ADJ
cana-4626	28	21	pollution	pollution	NOUN
cana-4626	28	22	weight	weight	NOUN
cana-4626	28	23	from	from	ADP
cana-4626	28	24	the	the	DET
cana-4626	28	25	ground	ground	NOUN
cana-4626	28	26	.	.	PUNCT
cana-4626	29	1	the	the	DET
cana-4626	29	2	assessments	assessment	NOUN
cana-4626	29	3	of	of	ADP
cana-4626	29	4	nitrate	nitrate	NOUN
cana-4626	29	5	contamination	contamination	NOUN
cana-4626	29	6	in	in	ADP
cana-4626	29	7	gw	gw	PROPN
cana-4626	29	8	must	must	AUX
cana-4626	29	9	be	be	AUX
cana-4626	29	10	studied	study	VERB
cana-4626	29	11	and	and	CCONJ
cana-4626	29	12	monitored	monitor	VERB
cana-4626	29	13	to	to	PART
cana-4626	29	14	manage	manage	VERB
cana-4626	29	15	and	and	CCONJ
cana-4626	29	16	utilize	utilize	VERB
cana-4626	29	17	water	water	NOUN
cana-4626	29	18	sources	source	NOUN
cana-4626	29	19	effectively	effectively	ADV
cana-4626	29	20	.	.	PUNCT
cana-4626	30	1	it	it	PRON
cana-4626	30	2	is	be	AUX
cana-4626	30	3	further	far	ADV
cana-4626	30	4	required	require	VERB
cana-4626	30	5	to	to	PART
cana-4626	30	6	offer	offer	VERB
cana-4626	30	7	a	a	DET
cana-4626	30	8	system	system	NOUN
cana-4626	30	9	capable	capable	ADJ
cana-4626	30	10	of	of	ADP
cana-4626	30	11	predicting	predict	VERB
cana-4626	30	12	the	the	DET
cana-4626	30	13	impact	impact	NOUN
cana-4626	30	14	of	of	ADP
cana-4626	30	15	various	various	ADJ
cana-4626	30	16	agricultural	agricultural	ADJ
cana-4626	30	17	and	and	CCONJ
cana-4626	30	18	industrial	industrial	ADJ
cana-4626	30	19	development	development	NOUN
cana-4626	30	20	scenarios	scenario	NOUN
cana-4626	30	21	,	,	PUNCT
cana-4626	30	22	as	as	ADV
cana-4626	30	23	well	well	ADV
cana-4626	30	24	as	as	ADP
cana-4626	30	25	population	population	NOUN
cana-4626	30	26	expansion	expansion	NOUN
cana-4626	30	27	,	,	PUNCT
cana-4626	30	28	on	on	ADP
cana-4626	30	29	nitrate	nitrate	NOUN
cana-4626	30	30	contamination	contamination	NOUN
cana-4626	30	31	in	in	ADP
cana-4626	30	32	gw	gw	PROPN
cana-4626	30	33	(	(	PUNCT
cana-4626	30	34	hussein	hussein	PROPN
cana-4626	30	35	et	et	PROPN
cana-4626	30	36	al	al	PROPN
cana-4626	30	37	.	.	PROPN
cana-4626	30	38	,	,	PUNCT
cana-4626	30	39	2020	2020	NUM
cana-4626	30	40	)	)	PUNCT
cana-4626	30	41	.	.	PUNCT
cana-4626	31	1	deng	deng	PROPN
cana-4626	31	2	et	et	PROPN
cana-4626	31	3	al	al	PROPN
cana-4626	31	4	.	.	PROPN
cana-4626	31	5	,	,	PUNCT
cana-4626	31	6	(	(	PUNCT
cana-4626	31	7	2023	2023	NUM
cana-4626	31	8	)	)	PUNCT
cana-4626	31	9	utilized	utilize	VERB
cana-4626	31	10	machine	machine	NOUN
cana-4626	31	11	learning	learning	NOUN
cana-4626	31	12	(	(	PUNCT
cana-4626	31	13	ml	ml	NOUN
cana-4626	31	14	)	)	PUNCT
cana-4626	31	15	to	to	PART
cana-4626	31	16	predict	predict	VERB
cana-4626	31	17	nitrate	nitrate	NOUN
cana-4626	31	18	contamination	contamination	NOUN
cana-4626	31	19	in	in	ADP
cana-4626	31	20	low	low	ADJ
cana-4626	31	21	gw	gw	NOUN
cana-4626	31	22	in	in	ADP
cana-4626	31	23	agricultural	agricultural	ADJ
cana-4626	31	24	locations	location	NOUN
cana-4626	31	25	.	.	PUNCT
cana-4626	32	1	radial	radial	ADJ
cana-4626	32	2	basis	basis	NOUN
cana-4626	32	3	function	function	NOUN
cana-4626	32	4	artificial	artificial	ADJ
cana-4626	32	5	neural	neural	ADJ
cana-4626	32	6	network	network	NOUN
cana-4626	32	7	(	(	PUNCT
cana-4626	32	8	rbf	rbf	PROPN
cana-4626	32	9	-	-	PROPN
cana-4626	32	10	ann	ann	PROPN
cana-4626	32	11	)	)	PUNCT
cana-4626	32	12	and	and	CCONJ
cana-4626	32	13	principal	principal	ADJ
cana-4626	32	14	components	component	NOUN
cana-4626	32	15	regression	regression	NOUN
cana-4626	32	16	(	(	PUNCT
cana-4626	32	17	pcr	pcr	NOUN
cana-4626	32	18	)	)	PUNCT
cana-4626	32	19	approaches	approach	NOUN
cana-4626	32	20	were	be	AUX
cana-4626	32	21	twisted	twist	VERB
cana-4626	32	22	after	after	ADP
cana-4626	32	23	selecting	select	VERB
cana-4626	32	24	necessary	necessary	ADJ
cana-4626	32	25	hydro	hydro	NOUN
cana-4626	32	26	-	-	PUNCT
cana-4626	32	27	chemical	chemical	NOUN
cana-4626	32	28	efforts	effort	NOUN
cana-4626	32	29	employing	employ	VERB
cana-4626	32	30	a	a	DET
cana-4626	32	31	self	self	NOUN
cana-4626	32	32	-	-	PUNCT
cana-4626	32	33	organizing	organize	VERB
cana-4626	32	34	map	map	NOUN
cana-4626	32	35	(	(	PUNCT
cana-4626	32	36	som	som	NOUN
cana-4626	32	37	)	)	PUNCT
cana-4626	32	38	and	and	CCONJ
cana-4626	32	39	spearman	spearman	NOUN
cana-4626	32	40	analysis	analysis	NOUN
cana-4626	32	41	.	.	PUNCT
cana-4626	33	1	rbfann	rbfann	NOUN
cana-4626	33	2	established	establish	VERB
cana-4626	33	3	superior	superior	ADJ
cana-4626	33	4	accuracy	accuracy	NOUN
cana-4626	33	5	,	,	PUNCT
cana-4626	33	6	while	while	SCONJ
cana-4626	33	7	pcr	pcr	PROPN
cana-4626	33	8	improved	improve	VERB
cana-4626	33	9	interpretability	interpretability	NOUN
cana-4626	33	10	.	.	PUNCT
cana-4626	34	1	multifaceted	multifaceted	ADJ
cana-4626	34	2	feature	feature	NOUN
cana-4626	34	3	relations	relation	NOUN
cana-4626	34	4	were	be	AUX
cana-4626	34	5	a	a	DET
cana-4626	34	6	restraint	restraint	NOUN
cana-4626	34	7	.	.	PUNCT
cana-4626	35	1	kontos	kontos	NOUN
cana-4626	35	2	et	et	PROPN
cana-4626	35	3	al	al	PROPN
cana-4626	35	4	.	.	PROPN
cana-4626	35	5	,	,	PUNCT
cana-4626	35	6	(	(	PUNCT
cana-4626	35	7	2022	2022	NUM
cana-4626	35	8	)	)	PUNCT
cana-4626	35	9	employed	employ	VERB
cana-4626	35	10	the	the	DET
cana-4626	35	11	finest	fine	ADJ
cana-4626	35	12	monitoring	monitoring	NOUN
cana-4626	35	13	systems	system	NOUN
cana-4626	35	14	to	to	ADP
cana-4626	35	15	perceive	perceive	ADJ
cana-4626	35	16	sources	source	NOUN
cana-4626	35	17	of	of	ADP
cana-4626	35	18	gw	gw	PROPN
cana-4626	35	19	contamination	contamination	NOUN
cana-4626	35	20	.	.	PUNCT
cana-4626	36	1	simulations	simulation	NOUN
cana-4626	36	2	of	of	ADP
cana-4626	36	3	controlled	control	VERB
cana-4626	36	4	aquifer	aquifer	NOUN
cana-4626	36	5	-	-	PUNCT
cana-4626	36	6	fashioned	fashioned	ADJ
cana-4626	36	7	artificial	artificial	ADJ
cana-4626	36	8	datasets	dataset	NOUN
cana-4626	36	9	for	for	ADP
cana-4626	36	10	training	train	VERB
cana-4626	36	11	random	random	ADJ
cana-4626	36	12	forests	forest	NOUN
cana-4626	36	13	(	(	PUNCT
cana-4626	36	14	rf	rf	NOUN
cana-4626	36	15	)	)	PUNCT
cana-4626	36	16	,	,	PUNCT
cana-4626	36	17	multilayer	multilayer	ADJ
cana-4626	36	18	perceptron	perceptron	PROPN
cana-4626	36	19	(	(	PUNCT
cana-4626	36	20	mlps	mlps	PROPN
cana-4626	36	21	)	)	PUNCT
cana-4626	36	22	,	,	PUNCT
cana-4626	36	23	and	and	CCONJ
cana-4626	36	24	convolutional	convolutional	ADJ
cana-4626	36	25	neural	neural	ADJ
cana-4626	36	26	network	network	NOUN
cana-4626	36	27	(	(	PUNCT
cana-4626	36	28	cnn	cnn	PROPN
cana-4626	36	29	)	)	PUNCT
cana-4626	36	30	algorithms	algorithm	NOUN
cana-4626	36	31	.	.	PUNCT
cana-4626	37	1	the	the	DET
cana-4626	37	2	results	result	NOUN
cana-4626	37	3	demonstrated	demonstrate	VERB
cana-4626	37	4	efficient	efficient	ADJ
cana-4626	37	5	pollution	pollution	NOUN
cana-4626	37	6	source	source	NOUN
cana-4626	37	7	identification	identification	NOUN
cana-4626	37	8	.	.	PUNCT
cana-4626	38	1	limitations	limitation	NOUN
cana-4626	38	2	include	include	VERB
cana-4626	38	3	reliance	reliance	NOUN
cana-4626	38	4	on	on	ADP
cana-4626	38	5	synthetic	synthetic	ADJ
cana-4626	38	6	data	datum	NOUN
cana-4626	38	7	and	and	CCONJ
cana-4626	38	8	the	the	DET
cana-4626	38	9	sensitivity	sensitivity	NOUN
cana-4626	38	10	of	of	ADP
cana-4626	38	11	complicated	complicated	ADJ
cana-4626	38	12	parameters	parameter	NOUN
cana-4626	38	13	in	in	ADP
cana-4626	38	14	real	real	ADJ
cana-4626	38	15	-	-	PUNCT
cana-4626	38	16	world	world	NOUN
cana-4626	38	17	circumstances	circumstance	NOUN
cana-4626	38	18	.	.	PUNCT
cana-4626	39	1	xiong	xiong	PROPN
cana-4626	39	2	et	et	PROPN
cana-4626	39	3	al	al	PROPN
cana-4626	39	4	.	.	PROPN
cana-4626	39	5	,	,	PUNCT
cana-4626	39	6	(	(	PUNCT
cana-4626	39	7	2022	2022	NUM
cana-4626	39	8	)	)	PUNCT
cana-4626	39	9	employed	employ	VERB
cana-4626	39	10	an	an	DET
cana-4626	39	11	ml	ml	ADV
cana-4626	39	12	-	-	PUNCT
cana-4626	39	13	based	base	VERB
cana-4626	39	14	kriging	krige	VERB
cana-4626	39	15	surrogate	surrogate	ADJ
cana-4626	39	16	model	model	NOUN
cana-4626	39	17	to	to	PART
cana-4626	39	18	enhance	enhance	VERB
cana-4626	39	19	the	the	DET
cana-4626	39	20	architecture	architecture	NOUN
cana-4626	39	21	of	of	ADP
cana-4626	39	22	a	a	DET
cana-4626	39	23	gw	gw	NOUN
cana-4626	39	24	pollution	pollution	NOUN
cana-4626	39	25	monitoring	monitoring	NOUN
cana-4626	39	26	network	network	NOUN
cana-4626	39	27	(	(	PUNCT
cana-4626	39	28	gpmn	gpmn	PROPN
cana-4626	39	29	)	)	PUNCT
cana-4626	39	30	under	under	ADP
cana-4626	39	31	uncertainty	uncertainty	NOUN
cana-4626	39	32	.	.	PUNCT
cana-4626	40	1	a	a	DET
cana-4626	40	2	0	0	NUM
cana-4626	40	3	-	-	SYM
cana-4626	40	4	1	1	NUM
cana-4626	40	5	integer	integer	NOUN
cana-4626	40	6	programming	programming	NOUN
cana-4626	40	7	model	model	NOUN
cana-4626	40	8	increased	increase	VERB
cana-4626	40	9	contaminated	contaminated	ADJ
cana-4626	40	10	area	area	NOUN
cana-4626	40	11	coverage	coverage	NOUN
cana-4626	40	12	.	.	PUNCT
cana-4626	41	1	the	the	DET
cana-4626	41	2	findings	finding	NOUN
cana-4626	41	3	revealed	reveal	VERB
cana-4626	41	4	better	well	ADJ
cana-4626	41	5	monitoring	monitoring	NOUN
cana-4626	41	6	efficiency	efficiency	NOUN
cana-4626	41	7	.	.	PUNCT
cana-4626	42	1	limitations	limitation	NOUN
cana-4626	42	2	include	include	VERB
cana-4626	42	3	reliance	reliance	NOUN
cana-4626	42	4	on	on	ADP
cana-4626	42	5	surrogate	surrogate	ADJ
cana-4626	42	6	model	model	NOUN
cana-4626	42	7	correctness	correctness	NOUN
cana-4626	42	8	and	and	CCONJ
cana-4626	42	9	site	site	NOUN
cana-4626	42	10	-	-	PUNCT
cana-4626	42	11	specificity	specificity	NOUN
cana-4626	42	12	.	.	PUNCT
cana-4626	43	1	yang	yang	PROPN
cana-4626	43	2	et	et	PROPN
cana-4626	43	3	al	al	PROPN
cana-4626	43	4	.	.	PROPN
cana-4626	43	5	,	,	PUNCT
cana-4626	43	6	(	(	PUNCT
cana-4626	43	7	2023	2023	NUM
cana-4626	43	8	)	)	PUNCT
cana-4626	43	9	leveraged	leveraged	ADJ
cana-4626	43	10	ml	ml	NOUN
cana-4626	43	11	to	to	PART
cana-4626	43	12	forecast	forecast	VERB
cana-4626	43	13	phosphorus	phosphorus	NOUN
cana-4626	43	14	concentrations	concentration	NOUN
cana-4626	43	15	in	in	ADP
cana-4626	43	16	gw	gw	PROPN
cana-4626	43	17	in	in	ADP
cana-4626	43	18	intense	intense	ADJ
cana-4626	43	19	agricultural	agricultural	ADJ
cana-4626	43	20	zones	zone	NOUN
cana-4626	43	21	.	.	PUNCT
cana-4626	44	1	random	random	ADJ
cana-4626	44	2	forest	forest	NOUN
cana-4626	44	3	(	(	PUNCT
cana-4626	44	4	rf	rf	NOUN
cana-4626	44	5	)	)	PUNCT
cana-4626	44	6	,	,	PUNCT
cana-4626	44	7	support	support	NOUN
cana-4626	44	8	vector	vector	NOUN
cana-4626	44	9	machine	machine	NOUN
cana-4626	44	10	(	(	PUNCT
cana-4626	44	11	svm	svm	PROPN
cana-4626	44	12	)	)	PUNCT
cana-4626	44	13	,	,	PUNCT
cana-4626	44	14	and	and	CCONJ
cana-4626	44	15	neural	neural	ADJ
cana-4626	44	16	network	network	NOUN
cana-4626	44	17	(	(	PUNCT
cana-4626	44	18	nn	nn	NOUN
cana-4626	44	19	)	)	PUNCT
cana-4626	44	20	systems	system	NOUN
cana-4626	44	21	were	be	AUX
cana-4626	44	22	utilized	utilize	VERB
cana-4626	44	23	on	on	ADP
cana-4626	44	24	570	570	NUM
cana-4626	44	25	samples	sample	NOUN
cana-4626	44	26	with	with	ADP
cana-4626	44	27	28	28	NUM
cana-4626	44	28	predictors	predictor	NOUN
cana-4626	44	29	.	.	PUNCT
cana-4626	45	1	svm	svm	PROPN
cana-4626	45	2	demonstrated	demonstrate	VERB
cana-4626	45	3	the	the	DET
cana-4626	45	4	highest	high	ADJ
cana-4626	45	5	accuracy	accuracy	NOUN
cana-4626	45	6	;	;	PUNCT
cana-4626	45	7	rf	rf	PRON
cana-4626	45	8	performed	perform	VERB
cana-4626	45	9	well	well	ADV
cana-4626	45	10	with	with	ADP
cana-4626	45	11	fewer	few	ADJ
cana-4626	45	12	variables	variable	NOUN
cana-4626	45	13	.	.	PUNCT
cana-4626	46	1	limited	limited	ADJ
cana-4626	46	2	phosphorus	phosphorus	NOUN
cana-4626	46	3	-	-	PUNCT
cana-4626	46	4	specific	specific	ADJ
cana-4626	46	5	research	research	NOUN
cana-4626	46	6	remains	remain	VERB
cana-4626	46	7	a	a	DET
cana-4626	46	8	restriction	restriction	NOUN
cana-4626	46	9	.	.	PUNCT
cana-4626	47	1	bedi	bedi	PROPN
cana-4626	47	2	et	et	PROPN
cana-4626	47	3	al	al	PROPN
cana-4626	47	4	.	.	PROPN
cana-4626	47	5	,	,	PUNCT
cana-4626	47	6	(	(	PUNCT
cana-4626	47	7	2020	2020	NUM
cana-4626	47	8	)	)	PUNCT
cana-4626	47	9	incorporated	incorporate	VERB
cana-4626	47	10	ann	ann	PROPN
cana-4626	47	11	,	,	PUNCT
cana-4626	47	12	svm	svm	PROPN
cana-4626	47	13	,	,	PUNCT
cana-4626	47	14	and	and	CCONJ
cana-4626	47	15	extreme	extreme	ADJ
cana-4626	47	16	gradient	gradient	NOUN
cana-4626	47	17	boost	boost	NOUN
cana-4626	47	18	(	(	PUNCT
cana-4626	47	19	xgb	xgb	NOUN
cana-4626	47	20	)	)	PUNCT
cana-4626	47	21	models	model	NOUN
cana-4626	47	22	to	to	PART
cana-4626	47	23	forecast	forecast	VERB
cana-4626	47	24	gw	gw	PROPN
cana-4626	47	25	contamination	contamination	NOUN
cana-4626	47	26	from	from	ADP
cana-4626	47	27	nitrates	nitrate	NOUN
cana-4626	47	28	and	and	CCONJ
cana-4626	47	29	pesticides	pesticide	NOUN
cana-4626	47	30	.	.	PUNCT
cana-4626	48	1	models	model	NOUN
cana-4626	48	2	for	for	ADP
cana-4626	48	3	classification	classification	NOUN
cana-4626	48	4	and	and	CCONJ
cana-4626	48	5	regression	regression	NOUN
cana-4626	48	6	were	be	AUX
cana-4626	48	7	examined	examine	VERB
cana-4626	48	8	using	use	VERB
cana-4626	48	9	303	303	NUM
cana-4626	48	10	wells	well	NOUN
cana-4626	48	11	and	and	CCONJ
cana-4626	48	12	numerous	numerous	ADJ
cana-4626	48	13	characteristics	characteristic	NOUN
cana-4626	48	14	.	.	PUNCT
cana-4626	49	1	xgb	xgb	PROPN
cana-4626	49	2	performed	perform	VERB
cana-4626	49	3	well	well	ADV
cana-4626	49	4	,	,	PUNCT
cana-4626	49	5	although	although	SCONJ
cana-4626	49	6	class	class	NOUN
cana-4626	49	7	imbalance	imbalance	NOUN
cana-4626	49	8	and	and	CCONJ
cana-4626	49	9	scarce	scarce	ADJ
cana-4626	49	10	data	datum	NOUN
cana-4626	49	11	created	create	VERB
cana-4626	49	12	problems	problem	NOUN
cana-4626	49	13	,	,	PUNCT
cana-4626	49	14	despite	despite	SCONJ
cana-4626	49	15	mitigation	mitigation	NOUN
cana-4626	49	16	measures	measure	NOUN
cana-4626	49	17	.	.	PUNCT
cana-4626	50	1	gholami	gholami	NOUN
cana-4626	50	2	and	and	CCONJ
cana-4626	50	3	booij	booij	NOUN
cana-4626	50	4	(	(	PUNCT
cana-4626	50	5	2022	2022	NUM
cana-4626	50	6	)	)	PUNCT
cana-4626	50	7	exploited	exploit	VERB
cana-4626	50	8	ml	ml	X
cana-4626	50	9	to	to	PART
cana-4626	50	10	estimate	estimate	VERB
cana-4626	50	11	gw	gw	PROPN
cana-4626	50	12	nitrate	nitrate	NOUN
cana-4626	50	13	concentrations	concentration	NOUN
cana-4626	50	14	in	in	ADP
cana-4626	50	15	iran	iran	PROPN
cana-4626	50	16	's	's	PART
cana-4626	50	17	mazandaran	mazandaran	NOUN
cana-4626	50	18	plain	plain	ADJ
cana-4626	50	19	.	.	PUNCT
cana-4626	51	1	the	the	DET
cana-4626	51	2	deep	deep	ADJ
cana-4626	51	3	neural	neural	ADJ
cana-4626	51	4	network	network	NOUN
cana-4626	51	5	(	(	PUNCT
cana-4626	51	6	dnn	dnn	PROPN
cana-4626	51	7	)	)	PUNCT
cana-4626	51	8	,	,	PUNCT
cana-4626	51	9	xgb	xgb	PROPN
cana-4626	51	10	,	,	PUNCT
cana-4626	51	11	and	and	CCONJ
cana-4626	51	12	mlp	mlp	NOUN
cana-4626	51	13	models	model	NOUN
cana-4626	51	14	were	be	AUX
cana-4626	51	15	experienced	experience	VERB
cana-4626	51	16	by	by	ADP
cana-4626	51	17	geographic	geographic	ADJ
cana-4626	51	18	information	information	NOUN
cana-4626	51	19	system	system	NOUN
cana-4626	51	20	(	(	PUNCT
cana-4626	51	21	gis	gis	NOUN
cana-4626	51	22	)	)	PUNCT
cana-4626	51	23	integration	integration	NOUN
cana-4626	51	24	.	.	PUNCT
cana-4626	52	1	egb	egb	PROPN
cana-4626	52	2	demonstrated	demonstrate	VERB
cana-4626	52	3	the	the	DET
cana-4626	52	4	highest	high	ADJ
cana-4626	52	5	accuracy	accuracy	NOUN
cana-4626	52	6	(	(	PUNCT
cana-4626	52	7	r²=0.86	r²=0.86	NOUN
cana-4626	52	8	)	)	PUNCT
cana-4626	52	9	.	.	PUNCT
cana-4626	53	1	industry	industry	NOUN
cana-4626	53	2	distance	distance	NOUN
cana-4626	53	3	and	and	CCONJ
cana-4626	53	4	population	population	NOUN
cana-4626	53	5	density	density	NOUN
cana-4626	53	6	were	be	AUX
cana-4626	53	7	key	key	ADJ
cana-4626	53	8	determining	determine	VERB
cana-4626	53	9	factors	factor	NOUN
cana-4626	53	10	.	.	PUNCT
cana-4626	54	1	the	the	DET
cana-4626	54	2	generalisability	generalisability	NOUN
cana-4626	54	3	of	of	ADP
cana-4626	54	4	the	the	DET
cana-4626	54	5	model	model	NOUN
cana-4626	54	6	is	be	AUX
cana-4626	54	7	limited	limited	ADJ
cana-4626	54	8	.	.	PUNCT
cana-4626	55	1	communications	communication	NOUN
cana-4626	55	2	on	on	ADP
cana-4626	55	3	applied	apply	VERB
cana-4626	55	4	nonlinear	nonlinear	ADJ
cana-4626	55	5	analysis	analysis	NOUN
cana-4626	55	6	issn	issn	NOUN
cana-4626	55	7	:	:	PUNCT
cana-4626	55	8	1074	1074	NUM
cana-4626	55	9	-	-	PUNCT
cana-4626	55	10	133x	133x	NUM
cana-4626	55	11	vol	vol	NOUN
cana-4626	55	12	32	32	NUM
cana-4626	55	13	no	no	NOUN
cana-4626	55	14	.	.	PUNCT
cana-4626	56	1	9s	9s	NUM
cana-4626	56	2	(	(	PUNCT
cana-4626	56	3	2025	2025	NUM
cana-4626	56	4	)	)	PUNCT
cana-4626	56	5	3113	3113	NUM
cana-4626	56	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4626	56	7	previous	previous	ADJ
cana-4626	56	8	research	research	NOUN
cana-4626	56	9	had	have	VERB
cana-4626	56	10	disadvantages	disadvantage	NOUN
cana-4626	56	11	,	,	PUNCT
cana-4626	56	12	such	such	ADJ
cana-4626	56	13	as	as	ADP
cana-4626	56	14	reliance	reliance	NOUN
cana-4626	56	15	on	on	ADP
cana-4626	56	16	synthetic	synthetic	ADJ
cana-4626	56	17	data	datum	NOUN
cana-4626	56	18	,	,	PUNCT
cana-4626	56	19	complex	complex	ADJ
cana-4626	56	20	variable	variable	ADJ
cana-4626	56	21	interactions	interaction	NOUN
cana-4626	56	22	,	,	PUNCT
cana-4626	56	23	a	a	DET
cana-4626	56	24	lack	lack	NOUN
cana-4626	56	25	of	of	ADP
cana-4626	56	26	pollutant	pollutant	ADJ
cana-4626	56	27	-	-	PUNCT
cana-4626	56	28	specific	specific	ADJ
cana-4626	56	29	focus	focus	NOUN
cana-4626	56	30	,	,	PUNCT
cana-4626	56	31	and	and	CCONJ
cana-4626	56	32	poor	poor	ADJ
cana-4626	56	33	regional	regional	ADJ
cana-4626	56	34	generalization	generalization	NOUN
cana-4626	56	35	.	.	PUNCT
cana-4626	57	1	furthermore	furthermore	ADV
cana-4626	57	2	,	,	PUNCT
cana-4626	57	3	many	many	ADJ
cana-4626	57	4	models	model	NOUN
cana-4626	57	5	fail	fail	VERB
cana-4626	57	6	to	to	PART
cana-4626	57	7	account	account	VERB
cana-4626	57	8	for	for	ADP
cana-4626	57	9	all	all	DET
cana-4626	57	10	relevant	relevant	ADJ
cana-4626	57	11	hydrogeological	hydrogeological	ADJ
cana-4626	57	12	aspects	aspect	NOUN
cana-4626	57	13	.	.	PUNCT
cana-4626	58	1	this	this	DET
cana-4626	58	2	research	research	NOUN
cana-4626	58	3	bridges	bridge	VERB
cana-4626	58	4	these	these	DET
cana-4626	58	5	gaps	gap	NOUN
cana-4626	58	6	by	by	ADP
cana-4626	58	7	utilizing	utilize	VERB
cana-4626	58	8	pca	pca	NOUN
cana-4626	58	9	-	-	PUNCT
cana-4626	58	10	based	base	VERB
cana-4626	58	11	feature	feature	NOUN
cana-4626	58	12	extraction	extraction	NOUN
cana-4626	58	13	and	and	CCONJ
cana-4626	58	14	an	an	DET
cana-4626	58	15	int	int	NOUN
cana-4626	58	16	-	-	PUNCT
cana-4626	58	17	rf	rf	ADJ
cana-4626	58	18	model	model	NOUN
cana-4626	58	19	to	to	PART
cana-4626	58	20	improve	improve	VERB
cana-4626	58	21	prediction	prediction	NOUN
cana-4626	58	22	accuracy	accuracy	NOUN
cana-4626	58	23	.	.	PUNCT
cana-4626	59	1	2	2	X
cana-4626	59	2	.	.	X
cana-4626	59	3	objective	objective	NOUN
cana-4626	59	4	the	the	DET
cana-4626	59	5	research	research	NOUN
cana-4626	59	6	objective	objective	NOUN
cana-4626	59	7	is	be	AUX
cana-4626	59	8	to	to	PART
cana-4626	59	9	generate	generate	VERB
cana-4626	59	10	an	an	DET
cana-4626	59	11	advanced	advanced	ADJ
cana-4626	59	12	technique	technique	NOUN
cana-4626	59	13	for	for	ADP
cana-4626	59	14	accurately	accurately	ADV
cana-4626	59	15	estimating	estimate	VERB
cana-4626	59	16	gw	gw	NOUN
cana-4626	59	17	pollution	pollution	NOUN
cana-4626	59	18	intensity	intensity	NOUN
cana-4626	59	19	(	(	PUNCT
cana-4626	59	20	gpi	gpi	PROPN
cana-4626	59	21	)	)	PUNCT
cana-4626	59	22	.	.	PUNCT
cana-4626	60	1	the	the	DET
cana-4626	60	2	research	research	NOUN
cana-4626	60	3	objective	objective	NOUN
cana-4626	60	4	is	be	AUX
cana-4626	60	5	to	to	PART
cana-4626	60	6	overcome	overcome	VERB
cana-4626	60	7	the	the	DET
cana-4626	60	8	constraints	constraint	NOUN
cana-4626	60	9	of	of	ADP
cana-4626	60	10	conventional	conventional	ADJ
cana-4626	60	11	susceptibility	susceptibility	NOUN
cana-4626	60	12	assessment	assessment	NOUN
cana-4626	60	13	methods	method	NOUN
cana-4626	60	14	utilizing	utilize	VERB
cana-4626	60	15	principal	principal	ADJ
cana-4626	60	16	component	component	NOUN
cana-4626	60	17	analysis	analysis	NOUN
cana-4626	60	18	(	(	PUNCT
cana-4626	60	19	pca	pca	NOUN
cana-4626	60	20	)	)	PUNCT
cana-4626	60	21	to	to	PART
cana-4626	60	22	recognize	recognize	VERB
cana-4626	60	23	key	key	ADJ
cana-4626	60	24	influencing	influence	VERB
cana-4626	60	25	factors	factor	NOUN
cana-4626	60	26	and	and	CCONJ
cana-4626	60	27	employing	employ	VERB
cana-4626	60	28	an	an	DET
cana-4626	60	29	intelligent	intelligent	ADJ
cana-4626	60	30	random	random	ADJ
cana-4626	60	31	forest	forest	NOUN
cana-4626	60	32	(	(	PUNCT
cana-4626	60	33	int	int	NOUN
cana-4626	60	34	-	-	PUNCT
cana-4626	60	35	rf	rf	NOUN
cana-4626	60	36	)	)	PUNCT
cana-4626	60	37	approach	approach	NOUN
cana-4626	60	38	to	to	PART
cana-4626	60	39	improve	improve	VERB
cana-4626	60	40	the	the	DET
cana-4626	60	41	forecast	forecast	NOUN
cana-4626	60	42	exactness	exactness	NOUN
cana-4626	60	43	and	and	CCONJ
cana-4626	60	44	competence	competence	NOUN
cana-4626	60	45	of	of	ADP
cana-4626	60	46	gpi	gpi	PROPN
cana-4626	60	47	,	,	PUNCT
cana-4626	60	48	with	with	ADP
cana-4626	60	49	nitrate	nitrate	NOUN
cana-4626	60	50	nitrogen	nitrogen	NOUN
cana-4626	60	51	as	as	ADP
cana-4626	60	52	the	the	DET
cana-4626	60	53	key	key	ADJ
cana-4626	60	54	pollution	pollution	NOUN
cana-4626	60	55	marker	marker	NOUN
cana-4626	60	56	.	.	PUNCT
cana-4626	61	1	3	3	X
cana-4626	61	2	.	.	X
cana-4626	61	3	methods	method	NOUN
cana-4626	61	4	this	this	DET
cana-4626	61	5	research	research	NOUN
cana-4626	61	6	gathers	gather	VERB
cana-4626	61	7	information	information	NOUN
cana-4626	61	8	from	from	ADP
cana-4626	61	9	field	field	NOUN
cana-4626	61	10	data	datum	NOUN
cana-4626	61	11	.	.	PUNCT
cana-4626	62	1	pca	pca	PROPN
cana-4626	62	2	decreases	decrease	VERB
cana-4626	62	3	data	datum	NOUN
cana-4626	62	4	dimensionality	dimensionality	NOUN
cana-4626	62	5	and	and	CCONJ
cana-4626	62	6	highlights	highlight	NOUN
cana-4626	62	7	key	key	ADJ
cana-4626	62	8	contributing	contributing	NOUN
cana-4626	62	9	elements	element	NOUN
cana-4626	62	10	,	,	PUNCT
cana-4626	62	11	whereas	whereas	SCONJ
cana-4626	62	12	int	int	NOUN
cana-4626	62	13	-	-	PUNCT
cana-4626	62	14	rf	rf	NOUN
cana-4626	62	15	improves	improve	VERB
cana-4626	62	16	prediction	prediction	NOUN
cana-4626	62	17	accuracy	accuracy	NOUN
cana-4626	62	18	by	by	ADP
cana-4626	62	19	modeling	model	VERB
cana-4626	62	20	complicated	complicated	ADJ
cana-4626	62	21	interactions	interaction	NOUN
cana-4626	62	22	,	,	PUNCT
cana-4626	62	23	resulting	result	VERB
cana-4626	62	24	in	in	ADP
cana-4626	62	25	an	an	DET
cana-4626	62	26	effective	effective	ADJ
cana-4626	62	27	assessment	assessment	NOUN
cana-4626	62	28	of	of	ADP
cana-4626	62	29	gw	gw	PROPN
cana-4626	62	30	pollution	pollution	NOUN
cana-4626	62	31	intensity	intensity	NOUN
cana-4626	62	32	and	and	CCONJ
cana-4626	62	33	risk	risk	NOUN
cana-4626	62	34	.	.	PUNCT
cana-4626	63	1	a.	a.	NOUN
cana-4626	63	2	dataset	dataset	VERB
cana-4626	63	3	the	the	DET
cana-4626	63	4	data	datum	NOUN
cana-4626	63	5	were	be	AUX
cana-4626	63	6	collected	collect	VERB
cana-4626	63	7	from	from	ADP
cana-4626	63	8	gw	gw	PROPN
cana-4626	63	9	monitoring	monitor	VERB
cana-4626	63	10	wells	well	NOUN
cana-4626	63	11	located	locate	VERB
cana-4626	63	12	at	at	ADP
cana-4626	63	13	polluted	polluted	ADJ
cana-4626	63	14	sites	site	NOUN
cana-4626	63	15	.	.	PUNCT
cana-4626	64	1	other	other	ADJ
cana-4626	64	2	hydrogeological	hydrogeological	ADJ
cana-4626	64	3	and	and	CCONJ
cana-4626	64	4	environmental	environmental	ADJ
cana-4626	64	5	variables	variable	NOUN
cana-4626	64	6	included	include	VERB
cana-4626	64	7	emission	emission	NOUN
cana-4626	64	8	concentration	concentration	NOUN
cana-4626	64	9	,	,	PUNCT
cana-4626	64	10	soil	soil	NOUN
cana-4626	64	11	density	density	NOUN
cana-4626	64	12	,	,	PUNCT
cana-4626	64	13	hydraulic	hydraulic	ADJ
cana-4626	64	14	conductivity	conductivity	NOUN
cana-4626	64	15	,	,	PUNCT
cana-4626	64	16	gw	gw	PROPN
cana-4626	64	17	recharge	recharge	NOUN
cana-4626	64	18	rate	rate	NOUN
cana-4626	64	19	,	,	PUNCT
cana-4626	64	20	diffusion	diffusion	NOUN
cana-4626	64	21	coefficient	coefficient	NOUN
cana-4626	64	22	,	,	PUNCT
cana-4626	64	23	soil	soil	NOUN
cana-4626	64	24	porosity	porosity	NOUN
cana-4626	64	25	,	,	PUNCT
cana-4626	64	26	aquifer	aquifer	NOUN
cana-4626	64	27	depth	depth	NOUN
cana-4626	64	28	,	,	PUNCT
cana-4626	64	29	and	and	CCONJ
cana-4626	64	30	land	land	NOUN
cana-4626	64	31	use	use	NOUN
cana-4626	64	32	type	type	NOUN
cana-4626	64	33	.	.	PUNCT
cana-4626	65	1	these	these	DET
cana-4626	65	2	parameters	parameter	NOUN
cana-4626	65	3	were	be	AUX
cana-4626	65	4	obtained	obtain	VERB
cana-4626	65	5	by	by	ADP
cana-4626	65	6	field	field	NOUN
cana-4626	65	7	measurements	measurement	NOUN
cana-4626	65	8	,	,	PUNCT
cana-4626	65	9	laboratory	laboratory	NOUN
cana-4626	65	10	tests	test	NOUN
cana-4626	65	11	,	,	PUNCT
cana-4626	65	12	hydrological	hydrological	ADJ
cana-4626	65	13	models	model	NOUN
cana-4626	65	14	,	,	PUNCT
cana-4626	65	15	geological	geological	ADJ
cana-4626	65	16	surveys	survey	NOUN
cana-4626	65	17	,	,	PUNCT
cana-4626	65	18	and	and	CCONJ
cana-4626	65	19	gis	gis	NOUN
cana-4626	65	20	-	-	PUNCT
cana-4626	65	21	based	base	VERB
cana-4626	65	22	land	land	NOUN
cana-4626	65	23	use	use	NOUN
cana-4626	65	24	maps	map	NOUN
cana-4626	65	25	.	.	PUNCT
cana-4626	66	1	b.	b.	PROPN
cana-4626	66	2	feature	feature	NOUN
cana-4626	66	3	extraction	extraction	NOUN
cana-4626	66	4	the	the	DET
cana-4626	66	5	gathered	gather	VERB
cana-4626	66	6	data	data	NOUN
cana-4626	66	7	features	feature	NOUN
cana-4626	66	8	are	be	AUX
cana-4626	66	9	extracted	extract	VERB
cana-4626	66	10	using	use	VERB
cana-4626	66	11	pca	pca	PROPN
cana-4626	66	12	.	.	PUNCT
cana-4626	67	1	pca	pca	PROPN
cana-4626	67	2	is	be	AUX
cana-4626	67	3	a	a	DET
cana-4626	67	4	statistical	statistical	ADJ
cana-4626	67	5	tool	tool	NOUN
cana-4626	67	6	that	that	PRON
cana-4626	67	7	simplifies	simplify	VERB
cana-4626	67	8	data	data	NOUN
cana-4626	67	9	sets	set	NOUN
cana-4626	67	10	.	.	PUNCT
cana-4626	68	1	the	the	DET
cana-4626	68	2	abundance	abundance	NOUN
cana-4626	68	3	of	of	ADP
cana-4626	68	4	water	water	NOUN
cana-4626	68	5	sample	sample	NOUN
cana-4626	68	6	data	datum	NOUN
cana-4626	68	7	and	and	CCONJ
cana-4626	68	8	associated	associated	ADJ
cana-4626	68	9	indicators	indicator	NOUN
cana-4626	68	10	might	might	AUX
cana-4626	68	11	be	be	AUX
cana-4626	68	12	challenging	challenge	VERB
cana-4626	68	13	to	to	PART
cana-4626	68	14	manage	manage	VERB
cana-4626	68	15	.	.	PUNCT
cana-4626	69	1	analyzing	analyze	VERB
cana-4626	69	2	a	a	DET
cana-4626	69	3	single	single	ADJ
cana-4626	69	4	sign	sign	NOUN
cana-4626	69	5	is	be	AUX
cana-4626	69	6	challenging	challenge	VERB
cana-4626	69	7	to	to	PART
cana-4626	69	8	obtain	obtain	VERB
cana-4626	69	9	reliable	reliable	ADJ
cana-4626	69	10	information	information	NOUN
cana-4626	69	11	.	.	PUNCT
cana-4626	70	1	the	the	DET
cana-4626	70	2	pca	pca	PROPN
cana-4626	70	3	analyzes	analyze	VERB
cana-4626	70	4	correlation	correlation	NOUN
cana-4626	70	5	and	and	CCONJ
cana-4626	70	6	combines	combine	VERB
cana-4626	70	7	indicators	indicator	NOUN
cana-4626	70	8	with	with	ADP
cana-4626	70	9	specific	specific	ADJ
cana-4626	70	10	correlations	correlation	NOUN
cana-4626	70	11	to	to	PART
cana-4626	70	12	create	create	VERB
cana-4626	70	13	linearly	linearly	ADV
cana-4626	70	14	independent	independent	ADJ
cana-4626	70	15	composite	composite	ADJ
cana-4626	70	16	indicators	indicator	NOUN
cana-4626	70	17	.	.	PUNCT
cana-4626	71	1	it	it	PRON
cana-4626	71	2	reduces	reduce	VERB
cana-4626	71	3	indicators	indicator	NOUN
cana-4626	71	4	,	,	PUNCT
cana-4626	71	5	dimensionality	dimensionality	NOUN
cana-4626	71	6	,	,	PUNCT
cana-4626	71	7	and	and	CCONJ
cana-4626	71	8	identifies	identify	VERB
cana-4626	71	9	toxins	toxin	NOUN
cana-4626	71	10	in	in	ADP
cana-4626	71	11	gw	gw	PROPN
cana-4626	71	12	.	.	PUNCT
cana-4626	72	1	however	however	ADV
cana-4626	72	2	,	,	PUNCT
cana-4626	72	3	its	its	PRON
cana-4626	72	4	single	single	ADJ
cana-4626	72	5	analysis	analysis	NOUN
cana-4626	72	6	dimension	dimension	NOUN
cana-4626	72	7	does	do	AUX
cana-4626	72	8	not	not	PART
cana-4626	72	9	adequately	adequately	ADV
cana-4626	72	10	capture	capture	VERB
cana-4626	72	11	the	the	DET
cana-4626	72	12	source	source	NOUN
cana-4626	72	13	and	and	CCONJ
cana-4626	72	14	spatial	spatial	ADJ
cana-4626	72	15	distribution	distribution	NOUN
cana-4626	72	16	of	of	ADP
cana-4626	72	17	contaminants	contaminant	NOUN
cana-4626	72	18	.	.	PUNCT
cana-4626	73	1	pca	pca	PROPN
cana-4626	73	2	,	,	PUNCT
cana-4626	73	3	first	first	ADV
cana-4626	73	4	normalize	normalize	VERB
cana-4626	73	5	the	the	DET
cana-4626	73	6	data	datum	NOUN
cana-4626	73	7	matrix	matrix	NOUN
cana-4626	73	8	𝑌𝑛∗𝑚	𝑌𝑛∗𝑚	PROPN
cana-4626	73	9	to	to	ADP
cana-4626	73	10	the	the	DET
cana-4626	73	11	matrix	matrix	NOUN
cana-4626	73	12	𝑋	𝑋	NOUN
cana-4626	73	13	=	=	SYM
cana-4626	73	14	(	(	PUNCT
cana-4626	73	15	𝑋1	𝑋1	PROPN
cana-4626	73	16	,	,	PUNCT
cana-4626	73	17	.	.	PUNCT
cana-4626	73	18	.	.	PUNCT
cana-4626	74	1	.	.	PUNCT
cana-4626	75	1	,	,	PUNCT
cana-4626	76	1	𝑋𝑚	𝑋𝑚	PROPN
cana-4626	76	2	)	)	PUNCT
cana-4626	76	3	,	,	PUNCT
cana-4626	76	4	to	to	PART
cana-4626	76	5	calculate	calculate	VERB
cana-4626	76	6	the	the	DET
cana-4626	76	7	covariance	covariance	NOUN
cana-4626	76	8	matrix	matrix	NOUN
cana-4626	76	9	𝑍.	𝑍.	PROPN
cana-4626	76	10	then	then	ADV
cana-4626	76	11	,	,	PUNCT
cana-4626	76	12	apply	apply	VERB
cana-4626	76	13	equation	equation	NOUN
cana-4626	76	14	(	(	PUNCT
cana-4626	76	15	1	1	NUM
cana-4626	76	16	)	)	PUNCT
cana-4626	76	17	to	to	PART
cana-4626	76	18	calculate	calculate	VERB
cana-4626	76	19	𝑍.	𝑍.	PROPN
cana-4626	76	20	𝑍	𝑍	PROPN
cana-4626	76	21	=	=	SYM
cana-4626	76	22	1	1	NUM
cana-4626	76	23	𝑛−1	𝑛−1	NUM
cana-4626	76	24	∑	∑	PUNCT
cana-4626	76	25	(	(	PUNCT
cana-4626	76	26	𝑋𝑙𝑗	𝑋𝑙𝑗	ADP
cana-4626	76	27	𝑛	𝑛	PROPN
cana-4626	76	28	𝑙=1	𝑙=1	PUNCT
cana-4626	76	29	−	−	PROPN
cana-4626	76	30	�	�	PROPN
cana-4626	76	31	̅	̅	NOUN
cana-4626	76	32	�	�	NOUN
cana-4626	76	33	𝑗	𝑗	NOUN
cana-4626	76	34	)	)	PUNCT
cana-4626	76	35	(	(	PUNCT
cana-4626	76	36	𝑋𝑙𝑖	𝑋𝑙𝑖	PROPN
cana-4626	76	37	−	−	PROPN
cana-4626	76	38	�	�	PROPN
cana-4626	76	39	̅	̅	NOUN
cana-4626	76	40	�	�	NOUN
cana-4626	76	41	𝑖	𝑖	NUM
cana-4626	76	42	)	)	PUNCT
cana-4626	76	43	(	(	PUNCT
cana-4626	76	44	1	1	X
cana-4626	76	45	)	)	PUNCT
cana-4626	76	46	𝑍is	𝑍is	NOUN
cana-4626	76	47	the	the	DET
cana-4626	76	48	covariance	covariance	NOUN
cana-4626	76	49	value	value	NOUN
cana-4626	76	50	,	,	PUNCT
cana-4626	76	51	𝑛	𝑛	PROPN
cana-4626	76	52	is	be	AUX
cana-4626	76	53	the	the	DET
cana-4626	76	54	total	total	ADJ
cana-4626	76	55	number	number	NOUN
cana-4626	76	56	,	,	PUNCT
cana-4626	76	57	𝑋𝑙𝑗	𝑋𝑙𝑗	PROPN
cana-4626	76	58	𝑎𝑛𝑑	𝑎𝑛𝑑	ADJ
cana-4626	76	59	𝑋𝑙𝑖are	𝑋𝑙𝑖are	PROPN
cana-4626	76	60	the	the	DET
cana-4626	76	61	values	value	NOUN
cana-4626	76	62	of	of	ADP
cana-4626	76	63	the	the	DET
cana-4626	76	64	𝑗𝑡ℎ	𝑗𝑡ℎ	NOUN
cana-4626	76	65	and	and	CCONJ
cana-4626	76	66	𝑖𝑡ℎ	𝑖𝑡ℎ	VERB
cana-4626	76	67	variable	variable	NOUN
cana-4626	76	68	in	in	ADP
cana-4626	76	69	the	the	DET
cana-4626	76	70	𝑙𝑡ℎ	𝑙𝑡ℎ	NOUN
cana-4626	76	71	observation	observation	NOUN
cana-4626	76	72	,	,	PUNCT
cana-4626	76	73	and	and	CCONJ
cana-4626	76	74	�	�	PROPN
cana-4626	76	75	̅	̅	NOUN
cana-4626	76	76	�	�	NOUN
cana-4626	76	77	𝑗	𝑗	PROPN
cana-4626	76	78	𝑎𝑛𝑑	𝑎𝑛𝑑	PROPN
cana-4626	76	79	�	�	PROPN
cana-4626	76	80	̅	̅	NOUN
cana-4626	76	81	�	�	NOUN
cana-4626	76	82	𝑖	𝑖	NOUN
cana-4626	76	83	are	be	AUX
cana-4626	76	84	the	the	DET
cana-4626	76	85	mean	mean	ADJ
cana-4626	76	86	averages	average	NOUN
cana-4626	76	87	.	.	PUNCT
cana-4626	77	1	pca	pca	PROPN
cana-4626	77	2	finds	find	VERB
cana-4626	77	3	the	the	DET
cana-4626	77	4	eigenvalues	eigenvalue	NOUN
cana-4626	77	5	and	and	CCONJ
cana-4626	77	6	eigenvectors	eigenvector	NOUN
cana-4626	77	7	of	of	ADP
cana-4626	77	8	the	the	DET
cana-4626	77	9	covariance	covariance	NOUN
cana-4626	77	10	matrix	matrix	NOUN
cana-4626	77	11	𝑍.	𝑍.	PUNCT
cana-4626	77	12	the	the	DET
cana-4626	77	13	eigenvalues	eigenvalue	NOUN
cana-4626	77	14	'	'	PART
cana-4626	77	15	cumulative	cumulative	ADJ
cana-4626	77	16	percentages	percentage	NOUN
cana-4626	77	17	show	show	VERB
cana-4626	77	18	their	their	PRON
cana-4626	77	19	contribution	contribution	NOUN
cana-4626	77	20	to	to	ADP
cana-4626	77	21	the	the	DET
cana-4626	77	22	major	major	ADJ
cana-4626	77	23	components	component	NOUN
cana-4626	77	24	,	,	PUNCT
cana-4626	77	25	whereas	whereas	SCONJ
cana-4626	77	26	the	the	DET
cana-4626	77	27	eigenvectors	eigenvector	NOUN
cana-4626	77	28	represent	represent	VERB
cana-4626	77	29	the	the	DET
cana-4626	77	30	loadings	loading	NOUN
cana-4626	77	31	.	.	PUNCT
cana-4626	78	1	the	the	DET
cana-4626	78	2	principal	principal	ADJ
cana-4626	78	3	component	component	NOUN
cana-4626	78	4	scores	score	NOUN
cana-4626	78	5	are	be	AUX
cana-4626	78	6	calculated	calculate	VERB
cana-4626	78	7	by	by	ADP
cana-4626	78	8	multiplying	multiply	VERB
cana-4626	78	9	the	the	DET
cana-4626	78	10	eigenvectors	eigenvector	NOUN
cana-4626	78	11	with	with	ADP
cana-4626	78	12	the	the	DET
cana-4626	78	13	original	original	ADJ
cana-4626	78	14	communications	communication	NOUN
cana-4626	78	15	on	on	ADP
cana-4626	78	16	applied	apply	VERB
cana-4626	78	17	nonlinear	nonlinear	ADJ
cana-4626	78	18	analysis	analysis	NOUN
cana-4626	78	19	issn	issn	NOUN
cana-4626	78	20	:	:	PUNCT
cana-4626	78	21	1074	1074	NUM
cana-4626	78	22	-	-	PUNCT
cana-4626	78	23	133x	133x	NUM
cana-4626	78	24	vol	vol	NOUN
cana-4626	78	25	32	32	NUM
cana-4626	78	26	no	no	NOUN
cana-4626	78	27	.	.	PUNCT
cana-4626	79	1	9s	9s	NUM
cana-4626	79	2	(	(	PUNCT
cana-4626	79	3	2025	2025	NUM
cana-4626	79	4	)	)	PUNCT
cana-4626	79	5	3114	3114	NUM
cana-4626	79	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4626	79	7	matrix	matrix	NOUN
cana-4626	79	8	.	.	PUNCT
cana-4626	80	1	pca	pca	NOUN
cana-4626	80	2	decreases	decrease	VERB
cana-4626	80	3	data	datum	NOUN
cana-4626	80	4	dimensionality	dimensionality	NOUN
cana-4626	80	5	by	by	ADP
cana-4626	80	6	identifying	identify	VERB
cana-4626	80	7	important	important	ADJ
cana-4626	80	8	influencing	influence	VERB
cana-4626	80	9	elements	element	NOUN
cana-4626	80	10	,	,	PUNCT
cana-4626	80	11	minimizing	minimize	VERB
cana-4626	80	12	redundancy	redundancy	NOUN
cana-4626	80	13	,	,	PUNCT
cana-4626	80	14	and	and	CCONJ
cana-4626	80	15	improving	improve	VERB
cana-4626	80	16	model	model	NOUN
cana-4626	80	17	efficiency	efficiency	NOUN
cana-4626	80	18	,	,	PUNCT
cana-4626	80	19	interpretation	interpretation	NOUN
cana-4626	80	20	,	,	PUNCT
cana-4626	80	21	and	and	CCONJ
cana-4626	80	22	prediction	prediction	NOUN
cana-4626	80	23	accuracy	accuracy	NOUN
cana-4626	80	24	in	in	ADP
cana-4626	80	25	gw	gw	PROPN
cana-4626	80	26	contamination	contamination	NOUN
cana-4626	80	27	research	research	NOUN
cana-4626	80	28	while	while	SCONJ
cana-4626	80	29	preserving	preserve	VERB
cana-4626	80	30	crucial	crucial	ADJ
cana-4626	80	31	variance	variance	NOUN
cana-4626	80	32	.	.	PUNCT
cana-4626	81	1	c.	c.	PROPN
cana-4626	81	2	predicting	predict	VERB
cana-4626	81	3	gpi	gpi	PROPN
cana-4626	81	4	using	use	VERB
cana-4626	81	5	intelligent	intelligent	ADJ
cana-4626	81	6	random	random	ADJ
cana-4626	81	7	forest	forest	NOUN
cana-4626	81	8	(	(	PUNCT
cana-4626	81	9	int	int	NOUN
cana-4626	81	10	-	-	PUNCT
cana-4626	81	11	rf	rf	NOUN
cana-4626	81	12	)	)	PUNCT
cana-4626	81	13	the	the	DET
cana-4626	81	14	int	int	NOUN
cana-4626	81	15	-	-	PUNCT
cana-4626	81	16	rf	rf	ADJ
cana-4626	81	17	model	model	NOUN
cana-4626	81	18	is	be	AUX
cana-4626	81	19	used	use	VERB
cana-4626	81	20	to	to	PART
cana-4626	81	21	forecast	forecast	VERB
cana-4626	81	22	nitrogen	nitrogen	NOUN
cana-4626	81	23	pollution	pollution	NOUN
cana-4626	81	24	in	in	ADP
cana-4626	81	25	gw	gw	PROPN
cana-4626	81	26	.	.	PUNCT
cana-4626	82	1	int	int	NOUN
cana-4626	82	2	-	-	PUNCT
cana-4626	82	3	rf	rf	NOUN
cana-4626	82	4	creates	create	VERB
cana-4626	82	5	a	a	DET
cana-4626	82	6	robust	robust	ADJ
cana-4626	82	7	model	model	NOUN
cana-4626	82	8	by	by	ADP
cana-4626	82	9	producing	produce	VERB
cana-4626	82	10	a	a	DET
cana-4626	82	11	thousand	thousand	NUM
cana-4626	82	12	random	random	ADJ
cana-4626	82	13	trees	tree	NOUN
cana-4626	82	14	to	to	PART
cana-4626	82	15	build	build	VERB
cana-4626	82	16	a	a	DET
cana-4626	82	17	forest	forest	NOUN
cana-4626	82	18	.	.	PUNCT
cana-4626	83	1	the	the	DET
cana-4626	83	2	int	int	NOUN
cana-4626	83	3	-	-	PUNCT
cana-4626	83	4	rf	rf	NOUN
cana-4626	83	5	selects	select	NOUN
cana-4626	83	6	the	the	DET
cana-4626	83	7	model	model	NOUN
cana-4626	83	8	's	's	PART
cana-4626	83	9	main	main	ADJ
cana-4626	83	10	parameters	parameter	NOUN
cana-4626	83	11	,	,	PUNCT
cana-4626	83	12	such	such	ADJ
cana-4626	83	13	as	as	ADP
cana-4626	83	14	the	the	DET
cana-4626	83	15	number	number	NOUN
cana-4626	83	16	of	of	ADP
cana-4626	83	17	trees	tree	NOUN
cana-4626	83	18	and	and	CCONJ
cana-4626	83	19	predictors	predictor	NOUN
cana-4626	83	20	,	,	PUNCT
cana-4626	83	21	at	at	ADP
cana-4626	83	22	each	each	DET
cana-4626	83	23	node	node	NOUN
cana-4626	83	24	.	.	PUNCT
cana-4626	84	1	the	the	DET
cana-4626	84	2	standard	standard	ADJ
cana-4626	84	3	deviation	deviation	NOUN
cana-4626	84	4	is	be	AUX
cana-4626	84	5	used	use	VERB
cana-4626	84	6	to	to	PART
cana-4626	84	7	calculate	calculate	VERB
cana-4626	84	8	forecasting	forecasting	NOUN
cana-4626	84	9	uncertainty	uncertainty	NOUN
cana-4626	84	10	on	on	ADP
cana-4626	84	11	the	the	DET
cana-4626	84	12	int	int	NOUN
cana-4626	84	13	-	-	PUNCT
cana-4626	84	14	rf	rf	NOUN
cana-4626	84	15	tree	tree	NOUN
cana-4626	84	16	,	,	PUNCT
cana-4626	84	17	as	as	SCONJ
cana-4626	84	18	shown	show	VERB
cana-4626	84	19	in	in	ADP
cana-4626	84	20	equation	equation	NOUN
cana-4626	84	21	(	(	PUNCT
cana-4626	84	22	2	2	NUM
cana-4626	84	23	)	)	PUNCT
cana-4626	84	24	.	.	PUNCT
cana-4626	85	1	𝜌	𝜌	X
cana-4626	85	2	=	=	SYM
cana-4626	85	3	√∑	√∑	X
cana-4626	85	4	(	(	PUNCT
cana-4626	85	5	𝑒𝑎(𝑦)−𝑒)2𝐶	𝑒𝑎(𝑦)−𝑒)2𝐶	PUNCT
cana-4626	85	6	𝑐	𝑐	PROPN
cana-4626	85	7	𝐶−1	𝐶−1	X
cana-4626	85	8	(	(	PUNCT
cana-4626	85	9	2	2	X
cana-4626	85	10	)	)	PUNCT
cana-4626	85	11	the	the	DET
cana-4626	85	12	unseen	unseen	ADJ
cana-4626	85	13	sample	sample	NOUN
cana-4626	85	14	𝑦	𝑦	NOUN
cana-4626	85	15	is	be	AUX
cana-4626	85	16	computed	compute	VERB
cana-4626	85	17	by	by	ADP
cana-4626	85	18	averaging	average	VERB
cana-4626	85	19	the	the	DET
cana-4626	85	20	forecast	forecast	NOUN
cana-4626	85	21	∑	∑	PUNCT
cana-4626	85	22	𝑒𝑎(𝑦)𝐶	𝑒𝑎(𝑦)𝐶	NOUN
cana-4626	85	23	𝑐	𝑐	PROPN
cana-4626	85	24	from	from	ADP
cana-4626	85	25	each	each	DET
cana-4626	85	26	tree	tree	NOUN
cana-4626	85	27	,	,	PUNCT
cana-4626	85	28	while	while	SCONJ
cana-4626	85	29	𝑐	𝑐	PROPN
cana-4626	85	30	and	and	CCONJ
cana-4626	85	31	𝐶	𝐶	PROPN
cana-4626	85	32	represent	represent	VERB
cana-4626	85	33	the	the	DET
cana-4626	85	34	repeated	repeat	VERB
cana-4626	85	35	bagging	bagging	NOUN
cana-4626	85	36	from	from	ADP
cana-4626	85	37	𝑐	𝑐	PROPN
cana-4626	85	38	to	to	ADP
cana-4626	85	39	𝐶.	𝐶.	PROPN
cana-4626	85	40	𝑐	𝑐	PROPN
cana-4626	85	41	is	be	AUX
cana-4626	85	42	assumed	assume	VERB
cana-4626	85	43	equal	equal	ADJ
cana-4626	85	44	to	to	ADP
cana-4626	85	45	1	1	NUM
cana-4626	85	46	.	.	PUNCT
cana-4626	86	1	in	in	ADP
cana-4626	86	2	int	int	NOUN
cana-4626	86	3	-	-	PUNCT
cana-4626	86	4	rf	rf	ADJ
cana-4626	86	5	,	,	PUNCT
cana-4626	86	6	random	random	ADJ
cana-4626	86	7	is	be	AUX
cana-4626	86	8	available	available	ADJ
cana-4626	86	9	in	in	ADP
cana-4626	86	10	two	two	NUM
cana-4626	86	11	steps	step	NOUN
cana-4626	86	12	during	during	ADP
cana-4626	86	13	tree	tree	NOUN
cana-4626	86	14	growth	growth	NOUN
cana-4626	86	15	.	.	PUNCT
cana-4626	87	1	the	the	DET
cana-4626	87	2	tree	tree	NOUN
cana-4626	87	3	's	's	PART
cana-4626	87	4	conclusion	conclusion	NOUN
cana-4626	87	5	is	be	AUX
cana-4626	87	6	mostly	mostly	ADV
cana-4626	87	7	based	base	VERB
cana-4626	87	8	on	on	ADP
cana-4626	87	9	a	a	DET
cana-4626	87	10	random	random	ADJ
cana-4626	87	11	selection	selection	NOUN
cana-4626	87	12	of	of	ADP
cana-4626	87	13	rows	row	NOUN
cana-4626	87	14	from	from	ADP
cana-4626	87	15	one	one	NUM
cana-4626	87	16	-	-	PUNCT
cana-4626	87	17	third	third	NOUN
cana-4626	87	18	of	of	ADP
cana-4626	87	19	the	the	DET
cana-4626	87	20	dataset	dataset	NOUN
cana-4626	87	21	,	,	PUNCT
cana-4626	87	22	rather	rather	ADV
cana-4626	87	23	than	than	ADP
cana-4626	87	24	an	an	DET
cana-4626	87	25	arbitrary	arbitrary	ADJ
cana-4626	87	26	selection	selection	NOUN
cana-4626	87	27	.	.	PUNCT
cana-4626	88	1	equation	equation	NOUN
cana-4626	88	2	(	(	PUNCT
cana-4626	88	3	3	3	X
cana-4626	88	4	)	)	PUNCT
cana-4626	88	5	expresses	express	VERB
cana-4626	88	6	the	the	DET
cana-4626	88	7	output	output	NOUN
cana-4626	88	8	of	of	ADP
cana-4626	88	9	the	the	DET
cana-4626	88	10	int	int	NOUN
cana-4626	88	11	-	-	PUNCT
cana-4626	88	12	rf	rf	NOUN
cana-4626	88	13	based	base	VERB
cana-4626	88	14	on	on	ADP
cana-4626	88	15	a	a	DET
cana-4626	88	16	restricted	restricted	ADJ
cana-4626	88	17	number	number	NOUN
cana-4626	88	18	of	of	ADP
cana-4626	88	19	randomly	randomly	ADV
cana-4626	88	20	selected	select	VERB
cana-4626	88	21	parameters	parameter	NOUN
cana-4626	88	22	available	available	ADJ
cana-4626	88	23	in	in	ADP
cana-4626	88	24	each	each	DET
cana-4626	88	25	node	node	NOUN
cana-4626	88	26	.	.	PUNCT
cana-4626	89	1	𝑥	𝑥	X
cana-4626	90	1	=	=	SYM
cana-4626	90	2	1	1	NUM
cana-4626	90	3	𝑚	𝑚	NOUN
cana-4626	90	4	∑	∑	NOUN
cana-4626	90	5	=	=	PROPN
cana-4626	90	6	1𝑜𝑗	1𝑜𝑗	NOUN
cana-4626	90	7	𝑚	𝑚	ADP
cana-4626	90	8	𝑗	𝑗	X
cana-4626	90	9	(	(	PUNCT
cana-4626	90	10	3	3	NUM
cana-4626	90	11	)	)	PUNCT
cana-4626	90	12	the	the	DET
cana-4626	90	13	number	number	NOUN
cana-4626	90	14	of	of	ADP
cana-4626	90	15	trees	tree	NOUN
cana-4626	90	16	is	be	AUX
cana-4626	90	17	denoted	denote	VERB
cana-4626	90	18	by	by	ADP
cana-4626	90	19	𝑚	𝑚	NOUN
cana-4626	90	20	,	,	PUNCT
cana-4626	90	21	and	and	CCONJ
cana-4626	90	22	the	the	DET
cana-4626	90	23	prediction	prediction	NOUN
cana-4626	90	24	of	of	ADP
cana-4626	90	25	each	each	DET
cana-4626	90	26	tree	tree	NOUN
cana-4626	90	27	is	be	AUX
cana-4626	90	28	represented	represent	VERB
cana-4626	90	29	by	by	ADP
cana-4626	90	30	𝑜𝑗.	𝑜𝑗.	PROPN
cana-4626	90	31	the	the	DET
cana-4626	90	32	model	model	NOUN
cana-4626	90	33	allows	allow	VERB
cana-4626	90	34	for	for	ADP
cana-4626	90	35	control	control	NOUN
cana-4626	90	36	over	over	ADP
cana-4626	90	37	tree	tree	NOUN
cana-4626	90	38	dimensions	dimension	NOUN
cana-4626	90	39	by	by	ADP
cana-4626	90	40	specifying	specify	VERB
cana-4626	90	41	required	required	ADJ
cana-4626	90	42	numbers	number	NOUN
cana-4626	90	43	of	of	ADP
cana-4626	90	44	samples	sample	NOUN
cana-4626	90	45	at	at	ADP
cana-4626	90	46	maximum	maximum	ADJ
cana-4626	90	47	depth	depth	NOUN
cana-4626	90	48	and	and	CCONJ
cana-4626	90	49	leaf	leaf	NOUN
cana-4626	90	50	nodes	node	NOUN
cana-4626	90	51	.	.	PUNCT
cana-4626	91	1	entropy	entropy	PROPN
cana-4626	91	2	is	be	AUX
cana-4626	91	3	crucial	crucial	ADJ
cana-4626	91	4	in	in	ADP
cana-4626	91	5	int	int	NOUN
cana-4626	91	6	-	-	PUNCT
cana-4626	91	7	rf	rf	NOUN
cana-4626	91	8	for	for	ADP
cana-4626	91	9	establishing	establish	VERB
cana-4626	91	10	the	the	DET
cana-4626	91	11	variable	variable	ADJ
cana-4626	91	12	split	split	NOUN
cana-4626	91	13	at	at	ADP
cana-4626	91	14	each	each	DET
cana-4626	91	15	node	node	NOUN
cana-4626	91	16	.	.	PUNCT
cana-4626	92	1	the	the	DET
cana-4626	92	2	entropy	entropy	NOUN
cana-4626	92	3	of	of	ADP
cana-4626	92	4	a	a	DET
cana-4626	92	5	subset	subset	ADJ
cana-4626	92	6	dataset	dataset	NOUN
cana-4626	92	7	influences	influence	VERB
cana-4626	92	8	its	its	PRON
cana-4626	92	9	homogeneity	homogeneity	NOUN
cana-4626	92	10	.	.	PUNCT
cana-4626	93	1	when	when	SCONJ
cana-4626	93	2	entropy	entropy	NOUN
cana-4626	93	3	is	be	AUX
cana-4626	93	4	equal	equal	ADJ
cana-4626	93	5	,	,	PUNCT
cana-4626	93	6	the	the	DET
cana-4626	93	7	class	class	NOUN
cana-4626	93	8	labels	label	NOUN
cana-4626	93	9	are	be	AUX
cana-4626	93	10	split	split	VERB
cana-4626	93	11	in	in	ADP
cana-4626	93	12	a	a	DET
cana-4626	93	13	similar	similar	ADJ
cana-4626	93	14	manner	manner	NOUN
cana-4626	93	15	.	.	PUNCT
cana-4626	94	1	zero	zero	NUM
cana-4626	94	2	entropy	entropy	NOUN
cana-4626	94	3	indicates	indicate	VERB
cana-4626	94	4	a	a	DET
cana-4626	94	5	homogeneous	homogeneous	ADJ
cana-4626	94	6	sample	sample	NOUN
cana-4626	94	7	,	,	PUNCT
cana-4626	94	8	as	as	SCONJ
cana-4626	94	9	shown	show	VERB
cana-4626	94	10	in	in	ADP
cana-4626	94	11	equation	equation	NOUN
cana-4626	94	12	(	(	PUNCT
cana-4626	94	13	4	4	NUM
cana-4626	94	14	)	)	PUNCT
cana-4626	94	15	.	.	PUNCT
cana-4626	95	1	𝐸𝑛𝑡𝑟𝑜𝑝𝑦	𝐸𝑛𝑡𝑟𝑜𝑝𝑦	NOUN
cana-4626	95	2	=	=	SYM
cana-4626	95	3	−𝑆𝑙𝑜𝑔2(𝑆	−𝑆𝑙𝑜𝑔2(𝑆	PROPN
cana-4626	95	4	)	)	PUNCT
cana-4626	95	5	−	−	NUM
cana-4626	95	6	𝑜𝑙𝑜𝑔2(𝑜	𝑜𝑙𝑜𝑔2(𝑜	NOUN
cana-4626	95	7	)	)	PUNCT
cana-4626	95	8	(	(	PUNCT
cana-4626	95	9	4	4	X
cana-4626	95	10	)	)	PUNCT
cana-4626	95	11	where	where	SCONJ
cana-4626	95	12	𝑆	𝑆	PROPN
cana-4626	95	13	and	and	CCONJ
cana-4626	95	14	𝑜	𝑜	PRON
cana-4626	95	15	denote	denote	VERB
cana-4626	95	16	the	the	DET
cana-4626	95	17	probability	probability	NOUN
cana-4626	95	18	of	of	ADP
cana-4626	95	19	a	a	DET
cana-4626	95	20	randomly	randomly	ADV
cana-4626	95	21	assigned	assign	VERB
cana-4626	95	22	variable	variable	NOUN
cana-4626	95	23	in	in	ADP
cana-4626	95	24	a	a	DET
cana-4626	95	25	class	class	NOUN
cana-4626	95	26	𝑚.	𝑚.	ADV
cana-4626	95	27	the	the	DET
cana-4626	95	28	int	int	NOUN
cana-4626	95	29	-	-	PUNCT
cana-4626	95	30	rf	rf	ADJ
cana-4626	95	31	model	model	NOUN
cana-4626	95	32	improves	improve	VERB
cana-4626	95	33	prediction	prediction	NOUN
cana-4626	95	34	accuracy	accuracy	NOUN
cana-4626	95	35	,	,	PUNCT
cana-4626	95	36	handles	handle	VERB
cana-4626	95	37	nonlinear	nonlinear	ADJ
cana-4626	95	38	interactions	interaction	NOUN
cana-4626	95	39	,	,	PUNCT
cana-4626	95	40	and	and	CCONJ
cana-4626	95	41	efficiently	efficiently	ADV
cana-4626	95	42	combines	combine	VERB
cana-4626	95	43	various	various	ADJ
cana-4626	95	44	influencing	influence	VERB
cana-4626	95	45	elements	element	NOUN
cana-4626	95	46	,	,	PUNCT
cana-4626	95	47	making	make	VERB
cana-4626	95	48	it	it	PRON
cana-4626	95	49	a	a	DET
cana-4626	95	50	reliable	reliable	ADJ
cana-4626	95	51	tool	tool	NOUN
cana-4626	95	52	for	for	ADP
cana-4626	95	53	estimating	estimate	VERB
cana-4626	95	54	gw	gw	PROPN
cana-4626	95	55	contamination	contamination	NOUN
cana-4626	95	56	intensity	intensity	NOUN
cana-4626	95	57	in	in	ADP
cana-4626	95	58	complicated	complicated	ADJ
cana-4626	95	59	situations	situation	NOUN
cana-4626	95	60	.	.	PUNCT
cana-4626	96	1	4	4	X
cana-4626	96	2	.	.	X
cana-4626	96	3	result	result	VERB
cana-4626	96	4	python	python	PROPN
cana-4626	96	5	3.10	3.10	NUM
cana-4626	96	6	was	be	AUX
cana-4626	96	7	used	use	VERB
cana-4626	96	8	to	to	PART
cana-4626	96	9	assess	assess	VERB
cana-4626	96	10	the	the	DET
cana-4626	96	11	suggested	suggested	ADJ
cana-4626	96	12	model	model	NOUN
cana-4626	96	13	's	's	PART
cana-4626	96	14	performance	performance	NOUN
cana-4626	96	15	in	in	ADP
cana-4626	96	16	gpi	gpi	PROPN
cana-4626	96	17	prediction	prediction	NOUN
cana-4626	96	18	through	through	ADP
cana-4626	96	19	nitrogen	nitrogen	NOUN
cana-4626	96	20	contamination	contamination	NOUN
cana-4626	96	21	.	.	PUNCT
cana-4626	97	1	the	the	DET
cana-4626	97	2	method	method	NOUN
cana-4626	97	3	performance	performance	NOUN
cana-4626	97	4	is	be	AUX
cana-4626	97	5	evaluated	evaluate	VERB
cana-4626	97	6	using	use	VERB
cana-4626	97	7	comparative	comparative	ADJ
cana-4626	97	8	analysis	analysis	NOUN
cana-4626	97	9	and	and	CCONJ
cana-4626	97	10	training	training	NOUN
cana-4626	97	11	accuracy	accuracy	NOUN
cana-4626	97	12	and	and	CCONJ
cana-4626	97	13	the	the	DET
cana-4626	97	14	variables	variable	NOUN
cana-4626	97	15	are	be	AUX
cana-4626	97	16	measured	measure	VERB
cana-4626	97	17	using	use	VERB
cana-4626	97	18	statistical	statistical	ADJ
cana-4626	97	19	analysis	analysis	NOUN
cana-4626	97	20	.	.	PUNCT
cana-4626	98	1	the	the	DET
cana-4626	98	2	proposed	propose	VERB
cana-4626	98	3	method	method	NOUN
cana-4626	98	4	is	be	AUX
cana-4626	98	5	compared	compare	VERB
cana-4626	98	6	with	with	ADP
cana-4626	98	7	traditional	traditional	ADJ
cana-4626	98	8	method	method	NOUN
cana-4626	98	9	,	,	PUNCT
cana-4626	98	10	like	like	ADP
cana-4626	98	11	svm	svm	PROPN
cana-4626	98	12	(	(	PUNCT
cana-4626	98	13	lee	lee	PROPN
cana-4626	98	14	et	et	PROPN
cana-4626	98	15	al	al	PROPN
cana-4626	98	16	.	.	PROPN
cana-4626	98	17	,	,	PUNCT
cana-4626	98	18	2023	2023	NUM
cana-4626	98	19	)	)	PUNCT
cana-4626	98	20	and	and	CCONJ
cana-4626	98	21	ann	ann	PROPN
cana-4626	98	22	(	(	PUNCT
cana-4626	98	23	lee	lee	PROPN
cana-4626	98	24	et	et	PROPN
cana-4626	98	25	al	al	PROPN
cana-4626	98	26	.	.	PROPN
cana-4626	98	27	,	,	PUNCT
cana-4626	98	28	2023	2023	NUM
cana-4626	98	29	)	)	PUNCT
cana-4626	98	30	.	.	PUNCT
cana-4626	99	1	a.	a.	NOUN
cana-4626	99	2	comparative	comparative	PROPN
cana-4626	99	3	analysis	analysis	NOUN
cana-4626	99	4	the	the	DET
cana-4626	99	5	model	model	NOUN
cana-4626	99	6	's	's	PART
cana-4626	99	7	performance	performance	NOUN
cana-4626	99	8	is	be	AUX
cana-4626	99	9	evaluated	evaluate	VERB
cana-4626	99	10	using	use	VERB
cana-4626	99	11	various	various	ADJ
cana-4626	99	12	metrics	metric	NOUN
cana-4626	99	13	,	,	PUNCT
cana-4626	99	14	like	like	ADP
cana-4626	99	15	rmse	rmse	NOUN
cana-4626	99	16	,	,	PUNCT
cana-4626	99	17	mae	mae	PROPN
cana-4626	99	18	and	and	CCONJ
cana-4626	99	19	r2	r2	PROPN
cana-4626	99	20	.	.	PUNCT
cana-4626	100	1	it	it	PRON
cana-4626	100	2	is	be	AUX
cana-4626	100	3	a	a	DET
cana-4626	100	4	measurement	measurement	NOUN
cana-4626	100	5	of	of	ADP
cana-4626	100	6	the	the	DET
cana-4626	100	7	typical	typical	ADJ
cana-4626	100	8	error	error	NOUN
cana-4626	100	9	magnitude	magnitude	NOUN
cana-4626	100	10	between	between	ADP
cana-4626	100	11	the	the	DET
cana-4626	100	12	actual	actual	ADJ
cana-4626	100	13	and	and	CCONJ
cana-4626	100	14	anticipated	anticipated	ADJ
cana-4626	100	15	values	value	NOUN
cana-4626	100	16	.	.	PUNCT
cana-4626	101	1	the	the	DET
cana-4626	101	2	mae	mae	PROPN
cana-4626	101	3	communications	communication	NOUN
cana-4626	101	4	on	on	ADP
cana-4626	101	5	applied	apply	VERB
cana-4626	101	6	nonlinear	nonlinear	ADJ
cana-4626	101	7	analysis	analysis	NOUN
cana-4626	101	8	issn	issn	NOUN
cana-4626	101	9	:	:	PUNCT
cana-4626	101	10	1074	1074	NUM
cana-4626	101	11	-	-	PUNCT
cana-4626	101	12	133x	133x	NUM
cana-4626	101	13	vol	vol	NOUN
cana-4626	101	14	32	32	NUM
cana-4626	101	15	no	no	NOUN
cana-4626	101	16	.	.	PUNCT
cana-4626	102	1	9s	9s	NUM
cana-4626	102	2	(	(	PUNCT
cana-4626	102	3	2025	2025	NUM
cana-4626	102	4	)	)	PUNCT
cana-4626	102	5	3115	3115	NUM
cana-4626	103	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4626	103	2	is	be	AUX
cana-4626	103	3	computed	compute	VERB
cana-4626	103	4	by	by	ADP
cana-4626	103	5	deducting	deduct	VERB
cana-4626	103	6	actual	actual	ADJ
cana-4626	103	7	values	value	NOUN
cana-4626	103	8	from	from	ADP
cana-4626	103	9	anticipated	anticipate	VERB
cana-4626	103	10	values	value	NOUN
cana-4626	103	11	,	,	PUNCT
cana-4626	103	12	adding	add	VERB
cana-4626	103	13	up	up	ADP
cana-4626	103	14	the	the	DET
cana-4626	103	15	absolute	absolute	ADJ
cana-4626	103	16	values	value	NOUN
cana-4626	103	17	dividing	divide	VERB
cana-4626	103	18	outcome	outcome	NOUN
cana-4626	103	19	by	by	ADP
cana-4626	103	20	the	the	DET
cana-4626	103	21	entire	entire	ADJ
cana-4626	103	22	number	number	NOUN
cana-4626	103	23	of	of	ADP
cana-4626	103	24	remarks	remark	NOUN
cana-4626	103	25	and	and	CCONJ
cana-4626	103	26	then	then	ADV
cana-4626	103	27	finding	find	VERB
cana-4626	103	28	the	the	DET
cana-4626	103	29	average	average	NOUN
cana-4626	103	30	of	of	ADP
cana-4626	103	31	the	the	DET
cana-4626	103	32	differences	difference	NOUN
cana-4626	103	33	.	.	PUNCT
cana-4626	104	1	r2	r2	PROPN
cana-4626	104	2	specifies	specify	VERB
cana-4626	104	3	the	the	DET
cana-4626	104	4	frequency	frequency	NOUN
cana-4626	104	5	of	of	ADP
cana-4626	104	6	the	the	DET
cana-4626	104	7	discrepancy	discrepancy	NOUN
cana-4626	104	8	in	in	ADP
cana-4626	104	9	the	the	DET
cana-4626	104	10	fs	fs	PROPN
cana-4626	104	11	described	describe	VERB
cana-4626	104	12	by	by	ADP
cana-4626	104	13	the	the	DET
cana-4626	104	14	prediction	prediction	NOUN
cana-4626	104	15	system	system	NOUN
cana-4626	104	16	.	.	PUNCT
cana-4626	105	1	it	it	PRON
cana-4626	105	2	ranges	range	VERB
cana-4626	105	3	from	from	ADP
cana-4626	105	4	zero	zero	NUM
cana-4626	105	5	to	to	ADP
cana-4626	105	6	one	one	NUM
cana-4626	105	7	.	.	PUNCT
cana-4626	106	1	the	the	DET
cana-4626	106	2	rmse	rmse	NOUN
cana-4626	106	3	is	be	AUX
cana-4626	106	4	used	use	VERB
cana-4626	106	5	to	to	PART
cana-4626	106	6	estimate	estimate	VERB
cana-4626	106	7	the	the	DET
cana-4626	106	8	median	median	ADJ
cana-4626	106	9	magnitude	magnitude	NOUN
cana-4626	106	10	of	of	ADP
cana-4626	106	11	forecast	forecast	NOUN
cana-4626	106	12	errors	error	NOUN
cana-4626	106	13	.	.	PUNCT
cana-4626	107	1	this	this	PRON
cana-4626	107	2	is	be	AUX
cana-4626	107	3	done	do	VERB
cana-4626	107	4	by	by	ADP
cana-4626	107	5	squaring	square	VERB
cana-4626	107	6	the	the	DET
cana-4626	107	7	distinctions	distinction	NOUN
cana-4626	107	8	among	among	ADP
cana-4626	107	9	the	the	DET
cana-4626	107	10	real	real	ADJ
cana-4626	107	11	and	and	CCONJ
cana-4626	107	12	biased	biased	ADJ
cana-4626	107	13	rates	rate	NOUN
cana-4626	107	14	,	,	PUNCT
cana-4626	107	15	averaging	average	VERB
cana-4626	107	16	these	these	DET
cana-4626	107	17	errors	error	NOUN
cana-4626	107	18	in	in	ADP
cana-4626	107	19	squares	square	NOUN
cana-4626	107	20	,	,	PUNCT
cana-4626	107	21	and	and	CCONJ
cana-4626	107	22	then	then	ADV
cana-4626	107	23	calculating	calculate	VERB
cana-4626	107	24	the	the	DET
cana-4626	107	25	square	square	ADJ
cana-4626	107	26	root	root	NOUN
cana-4626	107	27	.	.	PUNCT
cana-4626	108	1	figure	figure	NOUN
cana-4626	108	2	1	1	NUM
cana-4626	108	3	and	and	CCONJ
cana-4626	108	4	table	table	NOUN
cana-4626	108	5	1	1	NUM
cana-4626	108	6	show	show	VERB
cana-4626	108	7	the	the	DET
cana-4626	108	8	comparative	comparative	ADJ
cana-4626	108	9	outcomes	outcome	NOUN
cana-4626	108	10	of	of	ADP
cana-4626	108	11	the	the	DET
cana-4626	108	12	suggested	suggest	VERB
cana-4626	108	13	method	method	NOUN
cana-4626	108	14	and	and	CCONJ
cana-4626	108	15	the	the	DET
cana-4626	108	16	traditional	traditional	ADJ
cana-4626	108	17	method	method	NOUN
cana-4626	108	18	.	.	PUNCT
cana-4626	109	1	table	table	NOUN
cana-4626	109	2	1	1	NUM
cana-4626	109	3	:	:	PUNCT
cana-4626	109	4	comparative	comparative	ADJ
cana-4626	109	5	outcome	outcome	NOUN
cana-4626	109	6	method	method	NOUN
cana-4626	109	7	rmse	rmse	PROPN
cana-4626	109	8	mae	mae	PROPN
cana-4626	109	9	r2	r2	PROPN
cana-4626	109	10	svm	svm	PROPN
cana-4626	109	11	(	(	PUNCT
cana-4626	109	12	lee	lee	PROPN
cana-4626	109	13	et	et	PROPN
cana-4626	109	14	al	al	PROPN
cana-4626	109	15	.	.	PROPN
cana-4626	109	16	,	,	PUNCT
cana-4626	109	17	2023	2023	NUM
cana-4626	109	18	)	)	PUNCT
cana-4626	109	19	3.0	3.0	NUM
cana-4626	109	20	2.6	2.6	NUM
cana-4626	109	21	0.84	0.84	NUM
cana-4626	109	22	ann	ann	PROPN
cana-4626	109	23	(	(	PUNCT
cana-4626	109	24	lee	lee	PROPN
cana-4626	109	25	et	et	PROPN
cana-4626	109	26	al	al	PROPN
cana-4626	109	27	.	.	PROPN
cana-4626	109	28	,	,	PUNCT
cana-4626	109	29	2023	2023	NUM
cana-4626	109	30	)	)	PUNCT
cana-4626	110	1	4.6	4.6	NUM
cana-4626	110	2	3.8	3.8	NUM
cana-4626	110	3	0.70	0.70	NUM
cana-4626	110	4	int	int	NOUN
cana-4626	110	5	-	-	PUNCT
cana-4626	110	6	rf	rf	PUNCT
cana-4626	110	7	(	(	PUNCT
cana-4626	110	8	proposed	propose	VERB
cana-4626	110	9	)	)	PUNCT
cana-4626	110	10	0.42	0.42	NUM
cana-4626	110	11	0.38	0.38	NUM
cana-4626	110	12	0.94	0.94	NUM
cana-4626	110	13	figure	figure	NOUN
cana-4626	110	14	1	1	NUM
cana-4626	110	15	:	:	PUNCT
cana-4626	110	16	performance	performance	NOUN
cana-4626	110	17	evaluation	evaluation	NOUN
cana-4626	110	18	the	the	DET
cana-4626	110	19	svm	svm	PROPN
cana-4626	110	20	performed	perform	VERB
cana-4626	110	21	moderately	moderately	ADV
cana-4626	110	22	with	with	ADP
cana-4626	110	23	rmse	rmse	NOUN
cana-4626	110	24	of	of	ADP
cana-4626	110	25	3.0	3.0	NUM
cana-4626	110	26	,	,	PUNCT
cana-4626	110	27	mae	mae	PROPN
cana-4626	110	28	of	of	ADP
cana-4626	110	29	2.6	2.6	NUM
cana-4626	110	30	,	,	PUNCT
cana-4626	110	31	and	and	CCONJ
cana-4626	110	32	r²	r²	VERB
cana-4626	110	33	of	of	ADP
cana-4626	110	34	0.84	0.84	NUM
cana-4626	110	35	,	,	PUNCT
cana-4626	110	36	but	but	CCONJ
cana-4626	110	37	ann	ann	PROPN
cana-4626	110	38	had	have	VERB
cana-4626	110	39	worse	bad	ADJ
cana-4626	110	40	predictive	predictive	ADJ
cana-4626	110	41	capacity	capacity	NOUN
cana-4626	110	42	with	with	ADP
cana-4626	110	43	rmse	rmse	NOUN
cana-4626	110	44	of	of	ADP
cana-4626	110	45	3.8	3.8	NUM
cana-4626	110	46	and	and	CCONJ
cana-4626	110	47	mae	mae	PROPN
cana-4626	110	48	of	of	ADP
cana-4626	110	49	4.6	4.6	NUM
cana-4626	110	50	and	and	CCONJ
cana-4626	110	51	r²	r²	NOUN
cana-4626	110	52	of	of	ADP
cana-4626	110	53	0.70	0.70	NUM
cana-4626	110	54	.	.	PUNCT
cana-4626	111	1	the	the	DET
cana-4626	111	2	int	int	NOUN
cana-4626	111	3	-	-	PUNCT
cana-4626	111	4	rf	rf	ADJ
cana-4626	111	5	model	model	NOUN
cana-4626	111	6	outperformed	outperform	VERB
cana-4626	111	7	both	both	CCONJ
cana-4626	111	8	with	with	ADP
cana-4626	111	9	much	much	ADV
cana-4626	111	10	lower	low	ADJ
cana-4626	111	11	rmse	rmse	NOUN
cana-4626	111	12	(	(	PUNCT
cana-4626	111	13	0.42	0.42	NUM
cana-4626	111	14	)	)	PUNCT
cana-4626	111	15	and	and	CCONJ
cana-4626	111	16	mae	mae	PROPN
cana-4626	111	17	(	(	PUNCT
cana-4626	111	18	0.38	0.38	NUM
cana-4626	111	19	)	)	PUNCT
cana-4626	111	20	,	,	PUNCT
cana-4626	111	21	as	as	ADV
cana-4626	111	22	well	well	ADV
cana-4626	111	23	as	as	ADP
cana-4626	111	24	a	a	DET
cana-4626	111	25	higher	high	ADJ
cana-4626	111	26	r²	r²	NOUN
cana-4626	111	27	value	value	NOUN
cana-4626	111	28	(	(	PUNCT
cana-4626	111	29	0.94	0.94	NUM
cana-4626	111	30	)	)	PUNCT
cana-4626	111	31	.	.	PUNCT
cana-4626	112	1	these	these	DET
cana-4626	112	2	findings	finding	NOUN
cana-4626	112	3	demonstrate	demonstrate	VERB
cana-4626	112	4	that	that	SCONJ
cana-4626	112	5	int	int	NOUN
cana-4626	112	6	-	-	PUNCT
cana-4626	112	7	rf	rf	NOUN
cana-4626	112	8	outperforms	outperform	NOUN
cana-4626	112	9	existing	exist	VERB
cana-4626	112	10	approaches	approach	NOUN
cana-4626	112	11	for	for	ADP
cana-4626	112	12	gw	gw	PROPN
cana-4626	112	13	pollution	pollution	NOUN
cana-4626	112	14	risk	risk	NOUN
cana-4626	112	15	assessment	assessment	NOUN
cana-4626	112	16	due	due	ADP
cana-4626	112	17	to	to	ADP
cana-4626	112	18	improved	improved	ADJ
cana-4626	112	19	accuracy	accuracy	NOUN
cana-4626	112	20	,	,	PUNCT
cana-4626	112	21	lower	low	ADJ
cana-4626	112	22	prediction	prediction	NOUN
cana-4626	112	23	error	error	NOUN
cana-4626	112	24	,	,	PUNCT
cana-4626	112	25	and	and	CCONJ
cana-4626	112	26	more	more	ADJ
cana-4626	112	27	reliability	reliability	NOUN
cana-4626	112	28	.	.	PUNCT
cana-4626	113	1	b.	b.	NOUN
cana-4626	113	2	training	training	NOUN
cana-4626	113	3	evaluation	evaluation	NOUN
cana-4626	113	4	the	the	DET
cana-4626	113	5	proportion	proportion	NOUN
cana-4626	113	6	of	of	ADP
cana-4626	113	7	accurate	accurate	ADJ
cana-4626	113	8	forecasts	forecast	NOUN
cana-4626	113	9	a	a	DET
cana-4626	113	10	system	system	NOUN
cana-4626	113	11	makes	make	VERB
cana-4626	113	12	during	during	ADP
cana-4626	113	13	the	the	DET
cana-4626	113	14	training	training	NOUN
cana-4626	113	15	phase	phase	NOUN
cana-4626	113	16	is	be	AUX
cana-4626	113	17	known	know	VERB
cana-4626	113	18	as	as	ADP
cana-4626	113	19	training	training	NOUN
cana-4626	113	20	accuracy	accuracy	NOUN
cana-4626	113	21	.	.	PUNCT
cana-4626	114	1	usually	usually	ADV
cana-4626	114	2	expressed	express	VERB
cana-4626	114	3	as	as	ADP
cana-4626	114	4	a	a	DET
cana-4626	114	5	percentage	percentage	NOUN
cana-4626	114	6	,	,	PUNCT
cana-4626	114	7	it	it	PRON
cana-4626	114	8	is	be	AUX
cana-4626	114	9	calculated	calculate	VERB
cana-4626	114	10	as	as	SCONJ
cana-4626	114	11	the	the	DET
cana-4626	114	12	ratio	ratio	NOUN
cana-4626	114	13	of	of	ADP
cana-4626	114	14	accurately	accurately	ADV
cana-4626	114	15	predicted	predict	VERB
cana-4626	114	16	outcomes	outcome	NOUN
cana-4626	114	17	to	to	ADP
cana-4626	114	18	all	all	DET
cana-4626	114	19	forecasts	forecast	NOUN
cana-4626	114	20	.	.	PUNCT
cana-4626	115	1	the	the	DET
cana-4626	115	2	system	system	NOUN
cana-4626	115	3	's	's	PART
cana-4626	115	4	ability	ability	NOUN
cana-4626	115	5	to	to	PART
cana-4626	115	6	match	match	VERB
cana-4626	115	7	the	the	DET
cana-4626	115	8	training	training	NOUN
cana-4626	115	9	information	information	NOUN
cana-4626	115	10	over	over	ADP
cana-4626	115	11	time	time	NOUN
cana-4626	115	12	is	be	AUX
cana-4626	115	13	assessed	assess	VERB
cana-4626	115	14	using	use	VERB
cana-4626	115	15	training	training	NOUN
cana-4626	115	16	accuracy	accuracy	NOUN
cana-4626	115	17	.	.	PUNCT
cana-4626	116	1	figure	figure	NOUN
cana-4626	116	2	2	2	NUM
cana-4626	116	3	represents	represent	VERB
cana-4626	116	4	the	the	DET
cana-4626	116	5	training	training	NOUN
cana-4626	116	6	accuracy	accuracy	NOUN
cana-4626	116	7	of	of	ADP
cana-4626	116	8	the	the	DET
cana-4626	116	9	system	system	NOUN
cana-4626	116	10	.	.	PUNCT
cana-4626	117	1	communications	communication	NOUN
cana-4626	117	2	on	on	ADP
cana-4626	117	3	applied	apply	VERB
cana-4626	117	4	nonlinear	nonlinear	ADJ
cana-4626	117	5	analysis	analysis	NOUN
cana-4626	117	6	issn	issn	NOUN
cana-4626	117	7	:	:	PUNCT
cana-4626	117	8	1074	1074	NUM
cana-4626	117	9	-	-	PUNCT
cana-4626	117	10	133x	133x	NUM
cana-4626	117	11	vol	vol	NOUN
cana-4626	117	12	32	32	NUM
cana-4626	117	13	no	no	NOUN
cana-4626	117	14	.	.	PUNCT
cana-4626	118	1	9s	9s	NUM
cana-4626	118	2	(	(	PUNCT
cana-4626	118	3	2025	2025	NUM
cana-4626	118	4	)	)	PUNCT
cana-4626	118	5	3116	3116	NUM
cana-4626	118	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4626	118	7	figure	figure	NOUN
cana-4626	118	8	2	2	NUM
cana-4626	118	9	:	:	PUNCT
cana-4626	118	10	training	training	NOUN
cana-4626	118	11	accuracy	accuracy	NOUN
cana-4626	118	12	the	the	DET
cana-4626	118	13	method	method	NOUN
cana-4626	118	14	's	's	PART
cana-4626	118	15	ability	ability	NOUN
cana-4626	118	16	to	to	PART
cana-4626	118	17	learn	learn	VERB
cana-4626	118	18	from	from	ADP
cana-4626	118	19	the	the	DET
cana-4626	118	20	data	datum	NOUN
cana-4626	118	21	over	over	ADP
cana-4626	118	22	time	time	NOUN
cana-4626	118	23	is	be	AUX
cana-4626	118	24	shown	show	VERB
cana-4626	118	25	by	by	ADP
cana-4626	118	26	the	the	DET
cana-4626	118	27	training	training	NOUN
cana-4626	118	28	accuracy	accuracy	NOUN
cana-4626	118	29	.	.	PUNCT
cana-4626	119	1	it	it	PRON
cana-4626	119	2	grows	grow	VERB
cana-4626	119	3	with	with	ADP
cana-4626	119	4	the	the	DET
cana-4626	119	5	integer	integer	NOUN
cana-4626	119	6	of	of	ADP
cana-4626	119	7	epochs	epoch	NOUN
cana-4626	119	8	,	,	PUNCT
cana-4626	119	9	representing	represent	VERB
cana-4626	119	10	that	that	SCONJ
cana-4626	119	11	the	the	DET
cana-4626	119	12	system	system	NOUN
cana-4626	119	13	gradually	gradually	ADV
cana-4626	119	14	gets	get	VERB
cana-4626	119	15	better	well	ADJ
cana-4626	119	16	at	at	ADP
cana-4626	119	17	using	use	VERB
cana-4626	119	18	the	the	DET
cana-4626	119	19	training	training	NOUN
cana-4626	119	20	set	set	VERB
cana-4626	119	21	with	with	ADP
cana-4626	119	22	an	an	DET
cana-4626	119	23	accuracy	accuracy	NOUN
cana-4626	119	24	of	of	ADP
cana-4626	119	25	95.3	95.3	NUM
cana-4626	119	26	%	%	NOUN
cana-4626	119	27	.	.	PUNCT
cana-4626	120	1	this	this	PRON
cana-4626	120	2	involves	involve	VERB
cana-4626	120	3	that	that	SCONJ
cana-4626	120	4	the	the	DET
cana-4626	120	5	system	system	NOUN
cana-4626	120	6	retains	retain	VERB
cana-4626	120	7	and	and	CCONJ
cana-4626	120	8	adjusts	adjust	VERB
cana-4626	120	9	to	to	ADP
cana-4626	120	10	the	the	DET
cana-4626	120	11	particular	particular	ADJ
cana-4626	120	12	data	datum	NOUN
cana-4626	120	13	that	that	SCONJ
cana-4626	120	14	it	it	PRON
cana-4626	120	15	is	be	AUX
cana-4626	120	16	trained	train	VERB
cana-4626	120	17	on	on	ADP
cana-4626	120	18	.	.	PUNCT
cana-4626	121	1	c.	c.	PROPN
cana-4626	121	2	statistical	statistical	ADJ
cana-4626	121	3	analysis	analysis	NOUN
cana-4626	121	4	the	the	DET
cana-4626	121	5	variable	variable	NOUN
cana-4626	121	6	's	's	PART
cana-4626	121	7	statistical	statistical	ADJ
cana-4626	121	8	significance	significance	NOUN
cana-4626	121	9	is	be	AUX
cana-4626	121	10	evaluated	evaluate	VERB
cana-4626	121	11	using	use	VERB
cana-4626	121	12	pearson	pearson	PROPN
cana-4626	121	13	correlation	correlation	NOUN
cana-4626	121	14	analysis	analysis	NOUN
cana-4626	121	15	.	.	PUNCT
cana-4626	122	1	table	table	NOUN
cana-4626	122	2	2	2	NUM
cana-4626	122	3	represents	represent	VERB
cana-4626	122	4	the	the	DET
cana-4626	122	5	correlation	correlation	NOUN
cana-4626	122	6	analysis	analysis	NOUN
cana-4626	122	7	.	.	PUNCT
cana-4626	123	1	it	it	PRON
cana-4626	123	2	evaluates	evaluate	VERB
cana-4626	123	3	the	the	DET
cana-4626	123	4	strength	strength	NOUN
cana-4626	123	5	and	and	CCONJ
cana-4626	123	6	direction	direction	NOUN
cana-4626	123	7	of	of	ADP
cana-4626	123	8	a	a	DET
cana-4626	123	9	linear	linear	PROPN
cana-4626	123	10	association	association	NOUN
cana-4626	123	11	between	between	ADP
cana-4626	123	12	continuous	continuous	ADJ
cana-4626	123	13	variables	variable	NOUN
cana-4626	123	14	.	.	PUNCT
cana-4626	124	1	this	this	DET
cana-4626	124	2	approach	approach	NOUN
cana-4626	124	3	determines	determine	VERB
cana-4626	124	4	how	how	SCONJ
cana-4626	124	5	the	the	DET
cana-4626	124	6	variables	variable	NOUN
cana-4626	124	7	are	be	AUX
cana-4626	124	8	strongly	strongly	ADV
cana-4626	124	9	connected	connect	VERB
cana-4626	124	10	,	,	PUNCT
cana-4626	124	11	which	which	PRON
cana-4626	124	12	is	be	AUX
cana-4626	124	13	useful	useful	ADJ
cana-4626	124	14	for	for	ADP
cana-4626	124	15	detecting	detect	VERB
cana-4626	124	16	influential	influential	ADJ
cana-4626	124	17	environmental	environmental	ADJ
cana-4626	124	18	influences	influence	NOUN
cana-4626	124	19	.	.	PUNCT
cana-4626	125	1	table	table	NOUN
cana-4626	125	2	2	2	NUM
cana-4626	125	3	:	:	PUNCT
cana-4626	125	4	statistical	statistical	ADJ
cana-4626	125	5	analysis	analysis	NOUN
cana-4626	125	6	variables	variable	VERB
cana-4626	125	7	correlation	correlation	NOUN
cana-4626	125	8	coefficient	coefficient	NOUN
cana-4626	125	9	significance	significance	NOUN
cana-4626	125	10	emission	emission	NOUN
cana-4626	125	11	concentration	concentration	NOUN
cana-4626	125	12	0.81	0.81	NUM
cana-4626	125	13	<	<	NOUN
cana-4626	125	14	0.01	0.01	NUM
cana-4626	125	15	hydraulic	hydraulic	ADJ
cana-4626	125	16	conductivity	conductivity	NOUN
cana-4626	125	17	0.74	0.74	NUM
cana-4626	125	18	<	<	NOUN
cana-4626	125	19	0.01	0.01	NUM
cana-4626	125	20	soil	soil	NOUN
cana-4626	125	21	density	density	NOUN
cana-4626	125	22	-0.62	-0.62	NOUN
cana-4626	125	23	<	<	NOUN
cana-4626	125	24	0.05	0.05	NUM
cana-4626	125	25	diffusion	diffusion	NOUN
cana-4626	125	26	coefficient	coefficient	NOUN
cana-4626	125	27	0.69	0.69	NUM
cana-4626	125	28	<	<	NOUN
cana-4626	125	29	0.01	0.01	NUM
cana-4626	125	30	gw	gw	NOUN
cana-4626	125	31	recharge	recharge	NOUN
cana-4626	125	32	rate	rate	NOUN
cana-4626	125	33	-0.58	-0.58	NOUN
cana-4626	125	34	<	<	NOUN
cana-4626	125	35	0.05	0.05	NUM
cana-4626	125	36	soil	soil	NOUN
cana-4626	125	37	porosity	porosity	NOUN
cana-4626	125	38	-0.65	-0.65	ADP
cana-4626	125	39	<	<	NOUN
cana-4626	125	40	0.01	0.01	NUM
cana-4626	125	41	aquifer	aquifer	NOUN
cana-4626	125	42	depth	depth	NOUN
cana-4626	125	43	-0.71	-0.71	NOUN
cana-4626	125	44	<	<	X
cana-4626	125	45	0.01	0.01	NUM
cana-4626	125	46	land	land	NOUN
cana-4626	125	47	use	use	NOUN
cana-4626	125	48	type	type	NOUN
cana-4626	125	49	0.76	0.76	NUM
cana-4626	125	50	<	<	NOUN
cana-4626	125	51	0.01	0.01	NUM
cana-4626	125	52	the	the	DET
cana-4626	125	53	analysis	analysis	NOUN
cana-4626	125	54	shows	show	VERB
cana-4626	125	55	that	that	SCONJ
cana-4626	125	56	emission	emission	NOUN
cana-4626	125	57	concentration	concentration	NOUN
cana-4626	125	58	,	,	PUNCT
cana-4626	125	59	hydraulic	hydraulic	ADJ
cana-4626	125	60	conductivity	conductivity	NOUN
cana-4626	125	61	,	,	PUNCT
cana-4626	125	62	diffusion	diffusion	NOUN
cana-4626	125	63	coefficient	coefficient	NOUN
cana-4626	125	64	,	,	PUNCT
cana-4626	125	65	and	and	CCONJ
cana-4626	125	66	land	land	NOUN
cana-4626	125	67	use	use	NOUN
cana-4626	125	68	type	type	NOUN
cana-4626	125	69	have	have	VERB
cana-4626	125	70	high	high	ADJ
cana-4626	125	71	positive	positive	ADJ
cana-4626	125	72	relationships	relationship	NOUN
cana-4626	125	73	with	with	ADP
cana-4626	125	74	gpi	gpi	PROPN
cana-4626	125	75	,	,	PUNCT
cana-4626	125	76	indicating	indicate	VERB
cana-4626	125	77	a	a	DET
cana-4626	125	78	significant	significant	ADJ
cana-4626	125	79	role	role	NOUN
cana-4626	125	80	in	in	ADP
cana-4626	125	81	rising	rise	VERB
cana-4626	125	82	pollution	pollution	NOUN
cana-4626	125	83	levels	level	NOUN
cana-4626	125	84	.	.	PUNCT
cana-4626	126	1	soil	soil	NOUN
cana-4626	126	2	density	density	NOUN
cana-4626	126	3	,	,	PUNCT
cana-4626	126	4	gw	gw	PROPN
cana-4626	126	5	recharge	recharge	NOUN
cana-4626	126	6	rate	rate	NOUN
cana-4626	126	7	,	,	PUNCT
cana-4626	126	8	soil	soil	NOUN
cana-4626	126	9	porosity	porosity	NOUN
cana-4626	126	10	,	,	PUNCT
cana-4626	126	11	and	and	CCONJ
cana-4626	126	12	aquifer	aquifer	NOUN
cana-4626	126	13	depth	depth	NOUN
cana-4626	126	14	shows	show	NOUN
cana-4626	126	15	moderate	moderate	ADJ
cana-4626	126	16	to	to	ADP
cana-4626	126	17	substantial	substantial	ADJ
cana-4626	126	18	negative	negative	ADJ
cana-4626	126	19	associations	association	NOUN
cana-4626	126	20	,	,	PUNCT
cana-4626	126	21	indicating	indicate	VERB
cana-4626	126	22	that	that	SCONJ
cana-4626	126	23	they	they	PRON
cana-4626	126	24	have	have	VERB
cana-4626	126	25	a	a	DET
cana-4626	126	26	moderating	moderate	VERB
cana-4626	126	27	effect	effect	NOUN
cana-4626	126	28	on	on	ADP
cana-4626	126	29	gpi	gpi	PROPN
cana-4626	126	30	.	.	PUNCT
cana-4626	127	1	all	all	DET
cana-4626	127	2	associations	association	NOUN
cana-4626	127	3	are	be	AUX
cana-4626	127	4	statistically	statistically	ADV
cana-4626	127	5	important	important	ADJ
cana-4626	127	6	(	(	PUNCT
cana-4626	127	7	p	p	X
cana-4626	127	8	<	<	X
cana-4626	127	9	0.05	0.05	NUM
cana-4626	127	10	or	or	CCONJ
cana-4626	127	11	p	p	X
cana-4626	127	12	<	<	X
cana-4626	127	13	0.01	0.01	NUM
cana-4626	127	14	)	)	PUNCT
cana-4626	127	15	,	,	PUNCT
cana-4626	127	16	underlining	underline	VERB
cana-4626	127	17	the	the	DET
cana-4626	127	18	significance	significance	NOUN
cana-4626	127	19	of	of	ADP
cana-4626	127	20	these	these	DET
cana-4626	127	21	features	feature	NOUN
cana-4626	127	22	in	in	ADP
cana-4626	127	23	assessing	assess	VERB
cana-4626	127	24	gw	gw	PROPN
cana-4626	127	25	contamination	contamination	NOUN
cana-4626	127	26	hazard	hazard	NOUN
cana-4626	127	27	.	.	PUNCT
cana-4626	128	1	effective	effective	ADJ
cana-4626	128	2	gw	gw	PROPN
cana-4626	128	3	management	management	NOUN
cana-4626	128	4	methods	method	NOUN
cana-4626	128	5	must	must	AUX
cana-4626	128	6	take	take	VERB
cana-4626	128	7	into	into	ADP
cana-4626	128	8	account	account	NOUN
cana-4626	128	9	both	both	PRON
cana-4626	128	10	hydrology	hydrology	NOUN
cana-4626	128	11	and	and	CCONJ
cana-4626	128	12	land	land	NOUN
cana-4626	128	13	-	-	PUNCT
cana-4626	128	14	use	use	NOUN
cana-4626	128	15	features	feature	NOUN
cana-4626	128	16	.	.	PUNCT
cana-4626	129	1	communications	communication	NOUN
cana-4626	129	2	on	on	ADP
cana-4626	129	3	applied	apply	VERB
cana-4626	129	4	nonlinear	nonlinear	ADJ
cana-4626	129	5	analysis	analysis	NOUN
cana-4626	129	6	issn	issn	NOUN
cana-4626	129	7	:	:	PUNCT
cana-4626	129	8	1074	1074	NUM
cana-4626	129	9	-	-	PUNCT
cana-4626	129	10	133x	133x	NUM
cana-4626	129	11	vol	vol	NOUN
cana-4626	129	12	32	32	NUM
cana-4626	129	13	no	no	NOUN
cana-4626	129	14	.	.	PUNCT
cana-4626	130	1	9s	9s	NUM
cana-4626	130	2	(	(	PUNCT
cana-4626	130	3	2025	2025	NUM
cana-4626	130	4	)	)	PUNCT
cana-4626	130	5	3117	3117	NUM
cana-4626	130	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4626	130	7	5	5	X
cana-4626	130	8	.	.	PUNCT
cana-4626	131	1	discussion	discussion	NOUN
cana-4626	131	2	the	the	DET
cana-4626	131	3	goal	goal	NOUN
cana-4626	131	4	was	be	AUX
cana-4626	131	5	to	to	PART
cana-4626	131	6	generate	generate	VERB
cana-4626	131	7	an	an	DET
cana-4626	131	8	intellectual	intellectual	ADJ
cana-4626	131	9	technique	technique	NOUN
cana-4626	131	10	for	for	ADP
cana-4626	131	11	forecasting	forecast	VERB
cana-4626	131	12	gpi	gpi	NOUN
cana-4626	131	13	by	by	ADP
cana-4626	131	14	incorporating	incorporate	VERB
cana-4626	131	15	contaminant	contaminant	ADJ
cana-4626	131	16	concentration	concentration	NOUN
cana-4626	131	17	information	information	NOUN
cana-4626	131	18	with	with	ADP
cana-4626	131	19	significant	significant	ADJ
cana-4626	131	20	hydrogeological	hydrogeological	ADJ
cana-4626	131	21	and	and	CCONJ
cana-4626	131	22	ecological	ecological	ADJ
cana-4626	131	23	features	feature	NOUN
cana-4626	131	24	.	.	PUNCT
cana-4626	132	1	the	the	DET
cana-4626	132	2	int	int	NOUN
cana-4626	132	3	-	-	PUNCT
cana-4626	132	4	rf	rf	ADJ
cana-4626	132	5	system	system	NOUN
cana-4626	132	6	was	be	AUX
cana-4626	132	7	compared	compare	VERB
cana-4626	132	8	with	with	ADP
cana-4626	132	9	conventional	conventional	ADJ
cana-4626	132	10	systems	system	NOUN
cana-4626	132	11	,	,	PUNCT
cana-4626	132	12	such	such	ADJ
cana-4626	132	13	as	as	ADP
cana-4626	132	14	svm	svm	PROPN
cana-4626	132	15	(	(	PUNCT
cana-4626	132	16	lee	lee	PROPN
cana-4626	132	17	et	et	PROPN
cana-4626	132	18	al	al	PROPN
cana-4626	132	19	.	.	PROPN
cana-4626	132	20	,	,	PUNCT
cana-4626	132	21	2023	2023	NUM
cana-4626	132	22	)	)	PUNCT
cana-4626	132	23	and	and	CCONJ
cana-4626	132	24	ann	ann	PROPN
cana-4626	132	25	(	(	PUNCT
cana-4626	132	26	lee	lee	PROPN
cana-4626	132	27	et	et	PROPN
cana-4626	132	28	al	al	PROPN
cana-4626	132	29	.	.	PROPN
cana-4626	132	30	,	,	PUNCT
cana-4626	132	31	2023	2023	NUM
cana-4626	132	32	)	)	PUNCT
cana-4626	132	33	.	.	PUNCT
cana-4626	133	1	while	while	SCONJ
cana-4626	133	2	svm	svm	PROPN
cana-4626	133	3	has	have	VERB
cana-4626	133	4	complexity	complexity	NOUN
cana-4626	133	5	in	in	ADP
cana-4626	133	6	managing	manage	VERB
cana-4626	133	7	high	high	ADJ
cana-4626	133	8	-	-	PUNCT
cana-4626	133	9	dimensional	dimensional	ADJ
cana-4626	133	10	data	datum	NOUN
cana-4626	133	11	was	be	AUX
cana-4626	133	12	susceptible	susceptible	ADJ
cana-4626	133	13	to	to	ADP
cana-4626	133	14	kernel	kernel	PROPN
cana-4626	133	15	assortment	assortment	PROPN
cana-4626	133	16	,	,	PUNCT
cana-4626	133	17	ann	ann	PROPN
cana-4626	133	18	systems	system	NOUN
cana-4626	133	19	were	be	AUX
cana-4626	133	20	prone	prone	ADJ
cana-4626	133	21	to	to	ADP
cana-4626	133	22	over	over	ADP
cana-4626	133	23	fitting	fit	VERB
cana-4626	133	24	and	and	CCONJ
cana-4626	133	25	needed	need	VERB
cana-4626	133	26	considerable	considerable	ADJ
cana-4626	133	27	training	training	NOUN
cana-4626	133	28	data	datum	NOUN
cana-4626	133	29	,	,	PUNCT
cana-4626	133	30	preventing	prevent	VERB
cana-4626	133	31	their	their	PRON
cana-4626	133	32	relevance	relevance	NOUN
cana-4626	133	33	in	in	ADP
cana-4626	133	34	complex	complex	ADJ
cana-4626	133	35	ecological	ecological	ADJ
cana-4626	133	36	methods	method	NOUN
cana-4626	133	37	.	.	PUNCT
cana-4626	134	1	in	in	ADP
cana-4626	134	2	contrast	contrast	NOUN
cana-4626	134	3	,	,	PUNCT
cana-4626	134	4	the	the	DET
cana-4626	134	5	int	int	NOUN
cana-4626	134	6	-	-	PUNCT
cana-4626	134	7	rf	rf	NOUN
cana-4626	134	8	technique	technique	NOUN
cana-4626	134	9	efficiently	efficiently	ADV
cana-4626	134	10	overcomes	overcome	VERB
cana-4626	134	11	these	these	DET
cana-4626	134	12	restraints	restraint	NOUN
cana-4626	134	13	by	by	ADP
cana-4626	134	14	capturing	capture	VERB
cana-4626	134	15	nonlinear	nonlinear	ADJ
cana-4626	134	16	connections	connection	NOUN
cana-4626	134	17	,	,	PUNCT
cana-4626	134	18	directing	direct	VERB
cana-4626	134	19	feature	feature	NOUN
cana-4626	134	20	significance	significance	NOUN
cana-4626	134	21	,	,	PUNCT
cana-4626	134	22	and	and	CCONJ
cana-4626	134	23	making	make	VERB
cana-4626	134	24	more	more	ADV
cana-4626	134	25	robust	robust	ADJ
cana-4626	134	26	and	and	CCONJ
cana-4626	134	27	precise	precise	ADJ
cana-4626	134	28	forecasts	forecast	NOUN
cana-4626	134	29	.	.	PUNCT
cana-4626	135	1	this	this	PRON
cana-4626	135	2	makes	make	VERB
cana-4626	135	3	the	the	DET
cana-4626	135	4	intrf	intrf	ADJ
cana-4626	135	5	system	system	NOUN
cana-4626	135	6	a	a	DET
cana-4626	135	7	practical	practical	ADJ
cana-4626	135	8	and	and	CCONJ
cana-4626	135	9	competent	competent	ADJ
cana-4626	135	10	device	device	NOUN
cana-4626	135	11	for	for	ADP
cana-4626	135	12	estimating	estimate	VERB
cana-4626	135	13	gw	gw	PROPN
cana-4626	135	14	contamination	contamination	NOUN
cana-4626	135	15	hazards	hazard	NOUN
cana-4626	135	16	and	and	CCONJ
cana-4626	135	17	promoting	promote	VERB
cana-4626	135	18	sustainable	sustainable	ADJ
cana-4626	135	19	water	water	NOUN
cana-4626	135	20	resource	resource	NOUN
cana-4626	135	21	management	management	NOUN
cana-4626	135	22	.	.	PUNCT
cana-4626	136	1	6	6	X
cana-4626	136	2	.	.	X
cana-4626	136	3	conclusion	conclusion	NOUN
cana-4626	136	4	forecasting	forecast	VERB
cana-4626	136	5	nitrogen	nitrogen	NOUN
cana-4626	136	6	contamination	contamination	NOUN
cana-4626	136	7	in	in	ADP
cana-4626	136	8	gw	gw	PROPN
cana-4626	136	9	promises	promise	VERB
cana-4626	136	10	secure	secure	ADJ
cana-4626	136	11	consumption	consumption	NOUN
cana-4626	136	12	of	of	ADP
cana-4626	136	13	water	water	NOUN
cana-4626	136	14	,	,	PUNCT
cana-4626	136	15	reduces	reduce	VERB
cana-4626	136	16	health	health	NOUN
cana-4626	136	17	hazards	hazard	NOUN
cana-4626	136	18	,	,	PUNCT
cana-4626	136	19	supports	support	VERB
cana-4626	136	20	sustainable	sustainable	ADJ
cana-4626	136	21	farming	farming	NOUN
cana-4626	136	22	,	,	PUNCT
cana-4626	136	23	promotes	promote	VERB
cana-4626	136	24	eutrophication	eutrophication	NOUN
cana-4626	136	25	,	,	PUNCT
cana-4626	136	26	and	and	CCONJ
cana-4626	136	27	assists	assist	VERB
cana-4626	136	28	regulatory	regulatory	ADJ
cana-4626	136	29	observance	observance	NOUN
cana-4626	136	30	,	,	PUNCT
cana-4626	136	31	inferior	inferior	ADJ
cana-4626	136	32	corrective	corrective	ADJ
cana-4626	136	33	expenditures	expenditure	NOUN
cana-4626	136	34	,	,	PUNCT
cana-4626	136	35	and	and	CCONJ
cana-4626	136	36	improved	improve	VERB
cana-4626	136	37	enduring	endure	VERB
cana-4626	136	38	gw	gw	PROPN
cana-4626	136	39	quality	quality	NOUN
cana-4626	136	40	administration	administration	NOUN
cana-4626	136	41	.	.	PUNCT
cana-4626	137	1	the	the	DET
cana-4626	137	2	goal	goal	NOUN
cana-4626	137	3	of	of	ADP
cana-4626	137	4	this	this	DET
cana-4626	137	5	research	research	NOUN
cana-4626	137	6	was	be	AUX
cana-4626	137	7	to	to	PART
cana-4626	137	8	enhance	enhance	VERB
cana-4626	137	9	gpi	gpi	PROPN
cana-4626	137	10	forecast	forecast	PROPN
cana-4626	137	11	by	by	ADP
cana-4626	137	12	creating	create	VERB
cana-4626	137	13	an	an	DET
cana-4626	137	14	int	int	NOUN
cana-4626	137	15	-	-	PUNCT
cana-4626	137	16	rf	rf	ADJ
cana-4626	137	17	approach	approach	NOUN
cana-4626	137	18	that	that	PRON
cana-4626	137	19	comprised	comprise	VERB
cana-4626	137	20	contaminant	contaminant	NOUN
cana-4626	137	21	concentration	concentration	NOUN
cana-4626	137	22	data	datum	NOUN
cana-4626	137	23	as	as	ADV
cana-4626	137	24	well	well	ADV
cana-4626	137	25	as	as	ADP
cana-4626	137	26	necessary	necessary	ADJ
cana-4626	137	27	hydro	hydro	NOUN
cana-4626	137	28	-	-	PUNCT
cana-4626	137	29	geological	geological	ADJ
cana-4626	137	30	and	and	CCONJ
cana-4626	137	31	ecological	ecological	ADJ
cana-4626	137	32	factors	factor	NOUN
cana-4626	137	33	.	.	PUNCT
cana-4626	138	1	the	the	DET
cana-4626	138	2	suggested	suggest	VERB
cana-4626	138	3	approach	approach	NOUN
cana-4626	138	4	had	have	VERB
cana-4626	138	5	a	a	DET
cana-4626	138	6	high	high	ADJ
cana-4626	138	7	forecast	forecast	NOUN
cana-4626	138	8	accuracy	accuracy	NOUN
cana-4626	138	9	of	of	ADP
cana-4626	138	10	95.3	95.3	NUM
cana-4626	138	11	%	%	NOUN
cana-4626	138	12	,	,	PUNCT
cana-4626	138	13	with	with	ADP
cana-4626	138	14	an	an	DET
cana-4626	138	15	rmse	rmse	NOUN
cana-4626	138	16	of	of	ADP
cana-4626	138	17	0.42	0.42	NUM
cana-4626	138	18	,	,	PUNCT
cana-4626	138	19	mae	mae	PROPN
cana-4626	138	20	of	of	ADP
cana-4626	138	21	0.38	0.38	NUM
cana-4626	138	22	,	,	PUNCT
cana-4626	138	23	and	and	CCONJ
cana-4626	138	24	r²	r²	NOUN
cana-4626	138	25	value	value	NOUN
cana-4626	138	26	of	of	ADP
cana-4626	138	27	0.94	0.94	NUM
cana-4626	138	28	.	.	PUNCT
cana-4626	139	1	moreover	moreover	ADV
cana-4626	139	2	,	,	PUNCT
cana-4626	139	3	a	a	DET
cana-4626	139	4	𝑟	𝑟	NOUN
cana-4626	139	5	coefficient	coefficient	NOUN
cana-4626	139	6	of	of	ADP
cana-4626	139	7	0.94	0.94	NUM
cana-4626	139	8	(	(	PUNCT
cana-4626	139	9	p	p	X
cana-4626	139	10	<	<	X
cana-4626	139	11	0.01	0.01	NUM
cana-4626	139	12	)	)	PUNCT
cana-4626	139	13	established	establish	VERB
cana-4626	139	14	its	its	PRON
cana-4626	139	15	reliability	reliability	NOUN
cana-4626	139	16	.	.	PUNCT
cana-4626	140	1	despite	despite	SCONJ
cana-4626	140	2	the	the	DET
cana-4626	140	3	successful	successful	ADJ
cana-4626	140	4	the	the	DET
cana-4626	140	5	method	method	NOUN
cana-4626	140	6	,	,	PUNCT
cana-4626	140	7	the	the	DET
cana-4626	140	8	accessibility	accessibility	NOUN
cana-4626	140	9	and	and	CCONJ
cana-4626	140	10	quality	quality	NOUN
cana-4626	140	11	of	of	ADP
cana-4626	140	12	local	local	ADJ
cana-4626	140	13	data	data	NOUN
cana-4626	140	14	inputs	input	NOUN
cana-4626	140	15	still	still	ADV
cana-4626	140	16	influence	influence	VERB
cana-4626	140	17	its	its	PRON
cana-4626	140	18	performance	performance	NOUN
cana-4626	140	19	.	.	PUNCT
cana-4626	141	1	future	future	ADJ
cana-4626	141	2	research	research	NOUN
cana-4626	141	3	should	should	AUX
cana-4626	141	4	focus	focus	VERB
cana-4626	141	5	on	on	ADP
cana-4626	141	6	adding	add	VERB
cana-4626	141	7	concurrent	concurrent	ADJ
cana-4626	141	8	monitoring	monitoring	NOUN
cana-4626	141	9	methods	method	NOUN
cana-4626	141	10	,	,	PUNCT
cana-4626	141	11	expansion	expansion	NOUN
cana-4626	141	12	purposes	purpose	NOUN
cana-4626	141	13	to	to	ADP
cana-4626	141	14	different	different	ADJ
cana-4626	141	15	hydro	hydro	NOUN
cana-4626	141	16	-	-	PUNCT
cana-4626	141	17	geological	geological	ADJ
cana-4626	141	18	conditions	condition	NOUN
cana-4626	141	19	,	,	PUNCT
cana-4626	141	20	and	and	CCONJ
cana-4626	141	21	integrating	integrate	VERB
cana-4626	141	22	crossmodeling	crossmodeling	NOUN
cana-4626	141	23	methods	method	NOUN
cana-4626	141	24	to	to	PART
cana-4626	141	25	enlarge	enlarge	VERB
cana-4626	141	26	prediction	prediction	NOUN
cana-4626	141	27	accuracy	accuracy	NOUN
cana-4626	141	28	and	and	CCONJ
cana-4626	141	29	support	support	NOUN
cana-4626	141	30	sustainable	sustainable	ADJ
cana-4626	141	31	gw	gw	PROPN
cana-4626	141	32	management	management	NOUN
cana-4626	141	33	.	.	PUNCT
cana-4626	142	1	references	reference	NOUN
cana-4626	142	2	[	[	X
cana-4626	142	3	1	1	NUM
cana-4626	142	4	]	]	PUNCT
cana-4626	142	5	.	.	PUNCT
cana-4626	143	1	maqsoom	maqsoom	PROPN
cana-4626	143	2	,	,	PUNCT
cana-4626	143	3	a.	a.	PROPN
cana-4626	143	4	,	,	PUNCT
cana-4626	143	5	aslam	aslam	PROPN
cana-4626	143	6	,	,	PUNCT
cana-4626	143	7	b.	b.	PROPN
cana-4626	143	8	,	,	PUNCT
cana-4626	143	9	khalil	khalil	PROPN
cana-4626	143	10	,	,	PUNCT
cana-4626	143	11	u.	u.	PROPN
cana-4626	143	12	,	,	PUNCT
cana-4626	143	13	ghorbanzadeh	ghorbanzadeh	PROPN
cana-4626	143	14	,	,	PUNCT
cana-4626	143	15	o.	o.	PROPN
cana-4626	143	16	,	,	PUNCT
cana-4626	143	17	ashraf	ashraf	PROPN
cana-4626	143	18	,	,	PUNCT
cana-4626	143	19	h.	h.	PROPN
cana-4626	143	20	,	,	PUNCT
cana-4626	143	21	faisal	faisal	PROPN
cana-4626	143	22	tufail	tufail	PROPN
cana-4626	143	23	,	,	PUNCT
cana-4626	143	24	r.	r.	PROPN
cana-4626	143	25	,	,	PUNCT
cana-4626	143	26	farooq	farooq	PROPN
cana-4626	143	27	,	,	PUNCT
cana-4626	143	28	d.	d.	PROPN
cana-4626	143	29	and	and	CCONJ
cana-4626	143	30	blaschke	blaschke	PROPN
cana-4626	143	31	,	,	PUNCT
cana-4626	143	32	t.	t.	PROPN
cana-4626	143	33	,	,	PUNCT
cana-4626	143	34	2020	2020	NUM
cana-4626	143	35	.	.	PUNCT
cana-4626	144	1	a	a	DET
cana-4626	144	2	gis	gis	NOUN
cana-4626	144	3	-	-	PUNCT
cana-4626	144	4	based	base	VERB
cana-4626	144	5	drastic	drastic	ADJ
cana-4626	144	6	model	model	NOUN
cana-4626	144	7	and	and	CCONJ
cana-4626	144	8	an	an	DET
cana-4626	144	9	adjusted	adjust	VERB
cana-4626	144	10	drastic	drastic	ADJ
cana-4626	144	11	model	model	NOUN
cana-4626	144	12	(	(	PUNCT
cana-4626	144	13	drastica	drastica	PROPN
cana-4626	144	14	)	)	PUNCT
cana-4626	144	15	for	for	ADP
cana-4626	144	16	groundwater	groundwater	NOUN
cana-4626	144	17	susceptibility	susceptibility	NOUN
cana-4626	144	18	assessment	assessment	NOUN
cana-4626	144	19	along	along	ADP
cana-4626	144	20	the	the	DET
cana-4626	144	21	china	china	PROPN
cana-4626	144	22	–	–	PUNCT
cana-4626	144	23	pakistan	pakistan	PROPN
cana-4626	144	24	economic	economic	ADJ
cana-4626	144	25	corridor	corridor	NOUN
cana-4626	144	26	(	(	PUNCT
cana-4626	144	27	cpec	cpec	PROPN
cana-4626	144	28	)	)	PUNCT
cana-4626	144	29	route	route	NOUN
cana-4626	144	30	.	.	PUNCT
cana-4626	145	1	isprs	isprs	PROPN
cana-4626	145	2	international	international	ADJ
cana-4626	145	3	journal	journal	NOUN
cana-4626	145	4	of	of	ADP
cana-4626	145	5	geoinformation	geoinformation	NOUN
cana-4626	145	6	,	,	PUNCT
cana-4626	145	7	9(5	9(5	NUM
cana-4626	145	8	)	)	PUNCT
cana-4626	145	9	,	,	PUNCT
cana-4626	145	10	p.332	p.332	X
cana-4626	145	11	.	.	PUNCT
cana-4626	146	1	https://doi.org/10.3390/ijgi9050332	https://doi.org/10.3390/ijgi9050332	NOUN
cana-4626	147	1	[	[	X
cana-4626	147	2	2	2	NUM
cana-4626	147	3	]	]	PUNCT
cana-4626	147	4	.	.	PUNCT
cana-4626	148	1	ullah	ullah	PROPN
cana-4626	148	2	,	,	PUNCT
cana-4626	148	3	f.	f.	PROPN
cana-4626	148	4	,	,	PUNCT
cana-4626	148	5	sepasgozar	sepasgozar	PROPN
cana-4626	148	6	,	,	PUNCT
cana-4626	148	7	s.m	s.m	PROPN
cana-4626	148	8	.	.	PROPN
cana-4626	148	9	,	,	PUNCT
cana-4626	148	10	thaheem	thaheem	PROPN
cana-4626	148	11	,	,	PUNCT
cana-4626	148	12	m.j	m.j	PROPN
cana-4626	148	13	.	.	PROPN
cana-4626	148	14	,	,	PUNCT
cana-4626	148	15	wang	wang	PROPN
cana-4626	148	16	,	,	PUNCT
cana-4626	148	17	c.c	c.c	PROPN
cana-4626	148	18	.	.	PROPN
cana-4626	148	19	and	and	CCONJ
cana-4626	148	20	imran	imran	PROPN
cana-4626	148	21	,	,	PUNCT
cana-4626	148	22	m.	m.	NOUN
cana-4626	148	23	,	,	PUNCT
cana-4626	148	24	2021	2021	NUM
cana-4626	148	25	.	.	PUNCT
cana-4626	149	1	it	it	PRON
cana-4626	149	2	’s	’	VERB
cana-4626	149	3	all	all	ADV
cana-4626	149	4	about	about	ADP
cana-4626	149	5	perceptions	perception	NOUN
cana-4626	149	6	:	:	PUNCT
cana-4626	149	7	a	a	DET
cana-4626	149	8	dematel	dematel	NOUN
cana-4626	149	9	approach	approach	NOUN
cana-4626	149	10	to	to	ADP
cana-4626	149	11	exploring	explore	VERB
cana-4626	149	12	user	user	NOUN
cana-4626	149	13	perceptions	perception	NOUN
cana-4626	149	14	of	of	ADP
cana-4626	149	15	real	real	ADJ
cana-4626	149	16	estate	estate	NOUN
cana-4626	149	17	online	online	ADJ
cana-4626	149	18	platforms	platform	NOUN
cana-4626	149	19	.	.	PUNCT
cana-4626	150	1	ain	ain	PROPN
cana-4626	150	2	shams	sham	VERB
cana-4626	150	3	engineering	engineering	NOUN
cana-4626	150	4	journal	journal	NOUN
cana-4626	150	5	,	,	PUNCT
cana-4626	150	6	12(4	12(4	NUM
cana-4626	150	7	)	)	PUNCT
cana-4626	150	8	,	,	PUNCT
cana-4626	150	9	pp.4297	pp.4297	PROPN
cana-4626	150	10	-	-	PUNCT
cana-4626	150	11	4317	4317	NUM
cana-4626	150	12	.	.	PUNCT
cana-4626	151	1	https://doi.org/10.1016/j.asej.2021.04.023	https://doi.org/10.1016/j.asej.2021.04.023	PROPN
cana-4626	152	1	[	[	X
cana-4626	152	2	3	3	NUM
cana-4626	152	3	]	]	PUNCT
cana-4626	152	4	.	.	PUNCT
cana-4626	153	1	awais	awais	PROPN
cana-4626	153	2	,	,	PUNCT
cana-4626	153	3	m.	m.	NOUN
cana-4626	153	4	,	,	PUNCT
cana-4626	153	5	aslam	aslam	PROPN
cana-4626	153	6	,	,	PUNCT
cana-4626	153	7	b.	b.	PROPN
cana-4626	153	8	,	,	PUNCT
cana-4626	153	9	maqsoom	maqsoom	PROPN
cana-4626	153	10	,	,	PUNCT
cana-4626	153	11	a.	a.	PROPN
cana-4626	153	12	,	,	PUNCT
cana-4626	153	13	khalil	khalil	PROPN
cana-4626	153	14	,	,	PUNCT
cana-4626	153	15	u.	u.	PROPN
cana-4626	153	16	,	,	PUNCT
cana-4626	153	17	ullah	ullah	PROPN
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cana-4626	190	7	,	,	PUNCT
cana-4626	190	8	k.s	k.s	PROPN
cana-4626	190	9	.	.	PROPN
cana-4626	190	10	and	and	CCONJ
cana-4626	190	11	yoo	yoo	PROPN
cana-4626	190	12	,	,	PUNCT
cana-4626	190	13	k.	k.	PROPN
cana-4626	190	14	,	,	PUNCT
cana-4626	190	15	2023	2023	NUM
cana-4626	190	16	.	.	PUNCT
cana-4626	191	1	a	a	DET
cana-4626	191	2	machine	machine	NOUN
cana-4626	191	3	learning	learning	NOUN
cana-4626	191	4	-	-	PUNCT
cana-4626	191	5	based	base	VERB
cana-4626	191	6	approach	approach	NOUN
cana-4626	191	7	to	to	PART
cana-4626	191	8	predict	predict	VERB
cana-4626	191	9	groundwater	groundwater	NOUN
cana-4626	191	10	nitrate	nitrate	NOUN
cana-4626	191	11	susceptibility	susceptibility	NOUN
cana-4626	191	12	using	use	VERB
cana-4626	191	13	field	field	NOUN
cana-4626	191	14	measurements	measurement	NOUN
cana-4626	191	15	and	and	CCONJ
cana-4626	191	16	hydrogeological	hydrogeological	ADJ
cana-4626	191	17	variables	variable	NOUN
cana-4626	191	18	in	in	ADP
cana-4626	191	19	the	the	DET
cana-4626	191	20	nonsan	nonsan	ADJ
cana-4626	191	21	stream	stream	NOUN
cana-4626	191	22	watershed	watershed	PROPN
cana-4626	191	23	,	,	PUNCT
cana-4626	191	24	south	south	PROPN
cana-4626	191	25	korea	korea	PROPN
cana-4626	191	26	.	.	PUNCT
cana-4626	192	1	applied	apply	VERB
cana-4626	192	2	water	water	NOUN
cana-4626	192	3	science	science	NOUN
cana-4626	192	4	,	,	PUNCT
cana-4626	192	5	13(12	13(12	NUM
cana-4626	192	6	)	)	PUNCT
cana-4626	192	7	,	,	PUNCT
cana-4626	192	8	p.242	p.242	NOUN
cana-4626	192	9	.	.	PUNCT
cana-4626	193	1	https://doi.org/10.1007/s13201-023-02043-9	https://doi.org/10.1007/s13201-023-02043-9	NUM
cana-4626	193	2	https://doi.org/10.1016/j.jhydrol.2023.129934	https://doi.org/10.1016/j.jhydrol.2023.129934	PROPN
cana-4626	193	3	https://doi.org/10.1007/s00521-022-07507-8	https://doi.org/10.1007/s00521-022-07507-8	NUM
cana-4626	193	4	https://doi.org/10.1016/j.envres.2022.113022	https://doi.org/10.1016/j.envres.2022.113022	NOUN
cana-4626	193	5	https://doi.org/10.1016/j.chemosphere.2022.137623	https://doi.org/10.1016/j.chemosphere.2022.137623	VERB
cana-4626	193	6	https://doi.org/10.1007/s10661-020-08695-3	https://doi.org/10.1007/s10661-020-08695-3	NUM
cana-4626	193	7	https://doi.org/10.1016/j.jclepro.2022.131847	https://doi.org/10.1016/j.jclepro.2022.131847	ADJ
cana-4626	193	8	https://doi.org/10.1007/s13201-023-02043-9	https://doi.org/10.1007/s13201-023-02043-9	NUM