id	sid	tid	token	lemma	pos
cana-3975	1	1	communications	communication	NOUN
cana-3975	1	2	on	on	ADP
cana-3975	1	3	applied	apply	VERB
cana-3975	1	4	nonlinear	nonlinear	ADJ
cana-3975	1	5	analysis	analysis	NOUN
cana-3975	1	6	issn	issn	NOUN
cana-3975	1	7	:	:	PUNCT
cana-3975	1	8	1074	1074	NUM
cana-3975	1	9	-	-	PUNCT
cana-3975	1	10	133x	133x	NUM
cana-3975	1	11	vol	vol	NOUN
cana-3975	1	12	32	32	NUM
cana-3975	1	13	no	no	NOUN
cana-3975	1	14	.	.	PUNCT
cana-3975	2	1	9s	9s	NUM
cana-3975	2	2	(	(	PUNCT
cana-3975	2	3	2025	2025	NUM
cana-3975	2	4	)	)	PUNCT
cana-3975	2	5	692	692	NUM
cana-3975	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3975	2	7	comparative	comparative	ADJ
cana-3975	2	8	analysis	analysis	NOUN
cana-3975	2	9	of	of	ADP
cana-3975	2	10	machine	machine	NOUN
cana-3975	2	11	learning	learn	VERB
cana-3975	2	12	algorithms	algorithm	NOUN
cana-3975	2	13	for	for	ADP
cana-3975	2	14	water	water	NOUN
cana-3975	2	15	quality	quality	NOUN
cana-3975	2	16	index	index	NOUN
cana-3975	2	17	prediction	prediction	NOUN
cana-3975	2	18	d.	d.	PROPN
cana-3975	2	19	dasu1	dasu1	PROPN
cana-3975	2	20	,	,	PUNCT
cana-3975	2	21	research	research	NOUN
cana-3975	2	22	scholar	scholar	NOUN
cana-3975	2	23	,	,	PUNCT
cana-3975	2	24	prof	prof	NOUN
cana-3975	2	25	.	.	PUNCT
cana-3975	3	1	p.	p.	PROPN
cana-3975	3	2	suresh	suresh	PROPN
cana-3975	4	1	varma2	varma2	PROPN
cana-3975	4	2	,	,	PUNCT
cana-3975	4	3	professor	professor	NOUN
cana-3975	4	4	1,2	1,2	NUM
cana-3975	4	5	dept	dept	NOUN
cana-3975	4	6	.	.	PROPN
cana-3975	4	7	of	of	ADP
cana-3975	4	8	cse	cse	PROPN
cana-3975	4	9	,	,	PUNCT
cana-3975	4	10	adikavi	adikavi	NOUN
cana-3975	4	11	nannaya	nannaya	NOUN
cana-3975	4	12	university	university	NOUN
cana-3975	4	13	,	,	PUNCT
cana-3975	4	14	rajamahendravaram	rajamahendravaram	PROPN
cana-3975	4	15	,	,	PUNCT
cana-3975	4	16	andhra	andhra	PROPN
cana-3975	4	17	pradesh	pradesh	PROPN
cana-3975	4	18	article	article	PROPN
cana-3975	4	19	history	history	NOUN
cana-3975	4	20	:	:	PUNCT
cana-3975	4	21	received	receive	VERB
cana-3975	4	22	:	:	PUNCT
cana-3975	4	23	12	12	NUM
cana-3975	4	24	-	-	SYM
cana-3975	4	25	11	11	NUM
cana-3975	4	26	-	-	PUNCT
cana-3975	4	27	2024	2024	NUM
cana-3975	4	28	revised	revise	VERB
cana-3975	4	29	:	:	PUNCT
cana-3975	4	30	17	17	NUM
cana-3975	4	31	-	-	SYM
cana-3975	4	32	12	12	NUM
cana-3975	4	33	-	-	PUNCT
cana-3975	4	34	2024	2024	NUM
cana-3975	4	35	accepted	accept	VERB
cana-3975	4	36	:	:	PUNCT
cana-3975	4	37	06	06	NUM
cana-3975	4	38	-	-	SYM
cana-3975	4	39	01	01	NUM
cana-3975	4	40	-	-	PUNCT
cana-3975	4	41	2025	2025	NUM
cana-3975	4	42	abstract	abstract	NOUN
cana-3975	4	43	:	:	PUNCT
cana-3975	4	44	access	access	NOUN
cana-3975	4	45	to	to	ADP
cana-3975	4	46	clean	clean	ADJ
cana-3975	4	47	and	and	CCONJ
cana-3975	4	48	safe	safe	ADJ
cana-3975	4	49	water	water	NOUN
cana-3975	4	50	is	be	AUX
cana-3975	4	51	essential	essential	ADJ
cana-3975	4	52	for	for	ADP
cana-3975	4	53	environmental	environmental	ADJ
cana-3975	4	54	sustainability	sustainability	NOUN
cana-3975	4	55	and	and	CCONJ
cana-3975	4	56	economic	economic	ADJ
cana-3975	4	57	progress	progress	NOUN
cana-3975	4	58	.	.	PUNCT
cana-3975	5	1	the	the	DET
cana-3975	5	2	water	water	NOUN
cana-3975	5	3	quality	quality	NOUN
cana-3975	5	4	index	index	NOUN
cana-3975	5	5	(	(	PUNCT
cana-3975	5	6	wqi	wqi	NOUN
cana-3975	5	7	)	)	PUNCT
cana-3975	5	8	serves	serve	VERB
cana-3975	5	9	as	as	ADP
cana-3975	5	10	an	an	DET
cana-3975	5	11	important	important	ADJ
cana-3975	5	12	metric	metric	NOUN
cana-3975	5	13	,	,	PUNCT
cana-3975	5	14	synthesizing	synthesize	VERB
cana-3975	5	15	complex	complex	ADJ
cana-3975	5	16	water	water	NOUN
cana-3975	5	17	quality	quality	NOUN
cana-3975	5	18	data	datum	NOUN
cana-3975	5	19	into	into	ADP
cana-3975	5	20	a	a	DET
cana-3975	5	21	single	single	ADJ
cana-3975	5	22	value	value	NOUN
cana-3975	5	23	to	to	PART
cana-3975	5	24	assess	assess	VERB
cana-3975	5	25	its	its	PRON
cana-3975	5	26	suitability	suitability	NOUN
cana-3975	5	27	for	for	ADP
cana-3975	5	28	various	various	ADJ
cana-3975	5	29	uses	use	NOUN
cana-3975	5	30	,	,	PUNCT
cana-3975	5	31	including	include	VERB
cana-3975	5	32	drinking	drinking	NOUN
cana-3975	5	33	,	,	PUNCT
cana-3975	5	34	agriculture	agriculture	NOUN
cana-3975	5	35	,	,	PUNCT
cana-3975	5	36	and	and	CCONJ
cana-3975	5	37	aquaculture	aquaculture	NOUN
cana-3975	5	38	.	.	PUNCT
cana-3975	6	1	in	in	ADP
cana-3975	6	2	the	the	DET
cana-3975	6	3	recent	recent	ADJ
cana-3975	6	4	years	year	NOUN
cana-3975	6	5	,	,	PUNCT
cana-3975	6	6	machine	machine	NOUN
cana-3975	6	7	learning	learning	NOUN
cana-3975	6	8	(	(	PUNCT
cana-3975	6	9	ml	ml	NOUN
cana-3975	6	10	)	)	PUNCT
cana-3975	6	11	algorithms	algorithm	NOUN
cana-3975	6	12	have	have	AUX
cana-3975	6	13	revolutionized	revolutionize	VERB
cana-3975	6	14	wqi	wqi	ADJ
cana-3975	6	15	prediction	prediction	NOUN
cana-3975	6	16	,	,	PUNCT
cana-3975	6	17	offering	offer	VERB
cana-3975	6	18	efficient	efficient	ADJ
cana-3975	6	19	and	and	CCONJ
cana-3975	6	20	scalable	scalable	ADJ
cana-3975	6	21	solutions	solution	NOUN
cana-3975	6	22	to	to	PART
cana-3975	6	23	analyse	analyse	VERB
cana-3975	6	24	complex	complex	ADJ
cana-3975	6	25	datasets	dataset	NOUN
cana-3975	6	26	.	.	PUNCT
cana-3975	7	1	a	a	DET
cana-3975	7	2	comparative	comparative	ADJ
cana-3975	7	3	study	study	NOUN
cana-3975	7	4	of	of	ADP
cana-3975	7	5	the	the	DET
cana-3975	7	6	performance	performance	NOUN
cana-3975	7	7	of	of	ADP
cana-3975	7	8	multiple	multiple	ADJ
cana-3975	7	9	ml	ml	NOUN
cana-3975	7	10	algorithms	algorithm	NOUN
cana-3975	7	11	—	—	PUNCT
cana-3975	7	12	naïve	naïve	ADJ
cana-3975	7	13	bayes	bayes	NOUN
cana-3975	7	14	,	,	PUNCT
cana-3975	7	15	xgboost	xgboost	ADV
cana-3975	7	16	,	,	PUNCT
cana-3975	7	17	k	k	ADJ
cana-3975	7	18	-	-	PUNCT
cana-3975	7	19	nearest	near	ADJ
cana-3975	7	20	neighbors	neighbor	NOUN
cana-3975	7	21	,	,	PUNCT
cana-3975	7	22	decision	decision	NOUN
cana-3975	7	23	tree	tree	NOUN
cana-3975	7	24	,	,	PUNCT
cana-3975	7	25	adaboost	adaboost	ADV
cana-3975	7	26	,	,	PUNCT
cana-3975	7	27	and	and	CCONJ
cana-3975	7	28	logistic	logistic	ADJ
cana-3975	7	29	regression	regression	NOUN
cana-3975	7	30	for	for	ADP
cana-3975	7	31	wqi	wqi	ADJ
cana-3975	7	32	prediction	prediction	NOUN
cana-3975	7	33	is	be	AUX
cana-3975	7	34	explored	explore	VERB
cana-3975	7	35	in	in	ADP
cana-3975	7	36	this	this	DET
cana-3975	7	37	paper	paper	NOUN
cana-3975	7	38	.	.	PUNCT
cana-3975	8	1	experimental	experimental	ADJ
cana-3975	8	2	results	result	NOUN
cana-3975	8	3	demonstrate	demonstrate	VERB
cana-3975	8	4	that	that	SCONJ
cana-3975	8	5	naïve	naïve	ADJ
cana-3975	8	6	bayes	bayes	PROPN
cana-3975	8	7	outperforms	outperform	VERB
cana-3975	8	8	other	other	ADJ
cana-3975	8	9	classifiers	classifier	NOUN
cana-3975	8	10	,	,	PUNCT
cana-3975	8	11	highlighting	highlight	VERB
cana-3975	8	12	its	its	PRON
cana-3975	8	13	suitability	suitability	NOUN
cana-3975	8	14	for	for	ADP
cana-3975	8	15	handling	handle	VERB
cana-3975	8	16	probabilistic	probabilistic	ADJ
cana-3975	8	17	relationships	relationship	NOUN
cana-3975	8	18	in	in	ADP
cana-3975	8	19	water	water	NOUN
cana-3975	8	20	quality	quality	NOUN
cana-3975	8	21	data	datum	NOUN
cana-3975	8	22	.	.	PUNCT
cana-3975	9	1	the	the	DET
cana-3975	9	2	findings	finding	NOUN
cana-3975	9	3	underscore	underscore	VERB
cana-3975	9	4	the	the	DET
cana-3975	9	5	growing	grow	VERB
cana-3975	9	6	significance	significance	NOUN
cana-3975	9	7	of	of	ADP
cana-3975	9	8	ml	ml	NOUN
cana-3975	9	9	to	to	PART
cana-3975	9	10	enhance	enhance	VERB
cana-3975	9	11	real	real	ADJ
cana-3975	9	12	-	-	PUNCT
cana-3975	9	13	time	time	NOUN
cana-3975	9	14	water	water	NOUN
cana-3975	9	15	quality	quality	NOUN
cana-3975	9	16	monitoring	monitoring	NOUN
cana-3975	9	17	and	and	CCONJ
cana-3975	9	18	sustainable	sustainable	ADJ
cana-3975	9	19	resource	resource	NOUN
cana-3975	9	20	management	management	NOUN
cana-3975	9	21	,	,	PUNCT
cana-3975	9	22	particularly	particularly	ADV
cana-3975	9	23	for	for	ADP
cana-3975	9	24	small	small	ADJ
cana-3975	9	25	-	-	PUNCT
cana-3975	9	26	scale	scale	NOUN
cana-3975	9	27	water	water	NOUN
cana-3975	9	28	systems	system	NOUN
cana-3975	9	29	.	.	PUNCT
cana-3975	10	1	by	by	ADP
cana-3975	10	2	leveraging	leverage	VERB
cana-3975	10	3	ml	ml	VERB
cana-3975	10	4	,	,	PUNCT
cana-3975	10	5	this	this	DET
cana-3975	10	6	research	research	NOUN
cana-3975	10	7	provides	provide	VERB
cana-3975	10	8	a	a	DET
cana-3975	10	9	foundation	foundation	NOUN
cana-3975	10	10	for	for	ADP
cana-3975	10	11	more	more	ADV
cana-3975	10	12	accurate	accurate	ADJ
cana-3975	10	13	and	and	CCONJ
cana-3975	10	14	reliable	reliable	ADJ
cana-3975	10	15	water	water	NOUN
cana-3975	10	16	quality	quality	NOUN
cana-3975	10	17	assessments	assessment	NOUN
cana-3975	10	18	.	.	PUNCT
cana-3975	11	1	keywords	keyword	NOUN
cana-3975	11	2	:	:	PUNCT
cana-3975	11	3	machine	machine	NOUN
cana-3975	11	4	learning	learning	NOUN
cana-3975	11	5	,	,	PUNCT
cana-3975	11	6	water	water	NOUN
cana-3975	11	7	quality	quality	NOUN
cana-3975	11	8	index	index	NOUN
cana-3975	11	9	,	,	PUNCT
cana-3975	11	10	naïve	naïve	ADJ
cana-3975	11	11	bayes	bayes	NOUN
cana-3975	11	12	,	,	PUNCT
cana-3975	11	13	water	water	NOUN
cana-3975	11	14	quality	quality	NOUN
cana-3975	11	15	assessment	assessment	NOUN
cana-3975	11	16	.	.	PUNCT
cana-3975	12	1	introduction	introduction	NOUN
cana-3975	12	2	safe	safe	ADJ
cana-3975	12	3	water	water	NOUN
cana-3975	12	4	is	be	AUX
cana-3975	12	5	an	an	DET
cana-3975	12	6	essential	essential	ADJ
cana-3975	12	7	resource	resource	NOUN
cana-3975	12	8	.	.	PUNCT
cana-3975	13	1	it	it	PRON
cana-3975	13	2	is	be	AUX
cana-3975	13	3	indispensable	indispensable	ADJ
cana-3975	13	4	for	for	ADP
cana-3975	13	5	preventing	prevent	VERB
cana-3975	13	6	waterborne	waterborne	ADJ
cana-3975	13	7	diseases	disease	NOUN
cana-3975	13	8	and	and	CCONJ
cana-3975	13	9	maintaining	maintain	VERB
cana-3975	13	10	ecosystems	ecosystem	NOUN
cana-3975	13	11	.	.	PUNCT
cana-3975	14	1	additionally	additionally	ADV
cana-3975	14	2	,	,	PUNCT
cana-3975	14	3	access	access	NOUN
cana-3975	14	4	to	to	ADP
cana-3975	14	5	clean	clean	ADJ
cana-3975	14	6	water	water	NOUN
cana-3975	14	7	is	be	AUX
cana-3975	14	8	crucial	crucial	ADJ
cana-3975	14	9	for	for	ADP
cana-3975	14	10	overall	overall	ADJ
cana-3975	14	11	economic	economic	ADJ
cana-3975	14	12	development	development	NOUN
cana-3975	14	13	.	.	PUNCT
cana-3975	15	1	almost	almost	ADV
cana-3975	15	2	all	all	PRON
cana-3975	15	3	major	major	ADJ
cana-3975	15	4	industrial	industrial	ADJ
cana-3975	15	5	manufacturing	manufacturing	NOUN
cana-3975	15	6	processes	process	NOUN
cana-3975	15	7	rely	rely	VERB
cana-3975	15	8	on	on	ADP
cana-3975	15	9	water	water	NOUN
cana-3975	15	10	for	for	ADP
cana-3975	15	11	production	production	NOUN
cana-3975	15	12	,	,	PUNCT
cana-3975	15	13	making	make	VERB
cana-3975	15	14	it	it	PRON
cana-3975	15	15	a	a	DET
cana-3975	15	16	key	key	ADJ
cana-3975	15	17	resource	resource	NOUN
cana-3975	15	18	for	for	ADP
cana-3975	15	19	economic	economic	ADJ
cana-3975	15	20	growth	growth	NOUN
cana-3975	15	21	.	.	PUNCT
cana-3975	16	1	furthermore	furthermore	ADV
cana-3975	16	2	,	,	PUNCT
cana-3975	16	3	agriculture	agriculture	NOUN
cana-3975	16	4	heavily	heavily	ADV
cana-3975	16	5	depends	depend	VERB
cana-3975	16	6	on	on	ADP
cana-3975	16	7	water	water	NOUN
cana-3975	16	8	for	for	ADP
cana-3975	16	9	irrigation	irrigation	NOUN
cana-3975	16	10	,	,	PUNCT
cana-3975	16	11	highlighting	highlight	VERB
cana-3975	16	12	the	the	DET
cana-3975	16	13	importance	importance	NOUN
cana-3975	16	14	of	of	ADP
cana-3975	16	15	clean	clean	ADJ
cana-3975	16	16	water	water	NOUN
cana-3975	16	17	for	for	ADP
cana-3975	16	18	food	food	NOUN
cana-3975	16	19	security	security	NOUN
cana-3975	16	20	and	and	CCONJ
cana-3975	16	21	livelihoods	livelihood	NOUN
cana-3975	16	22	.	.	PUNCT
cana-3975	17	1	recognizing	recognize	VERB
cana-3975	17	2	the	the	DET
cana-3975	17	3	critical	critical	ADJ
cana-3975	17	4	role	role	NOUN
cana-3975	17	5	of	of	ADP
cana-3975	17	6	water	water	NOUN
cana-3975	17	7	quality	quality	NOUN
cana-3975	17	8	in	in	ADP
cana-3975	17	9	various	various	ADJ
cana-3975	17	10	sectors	sector	NOUN
cana-3975	17	11	,	,	PUNCT
cana-3975	17	12	there	there	PRON
cana-3975	17	13	arose	arise	VERB
cana-3975	17	14	a	a	DET
cana-3975	17	15	need	need	NOUN
cana-3975	17	16	for	for	ADP
cana-3975	17	17	a	a	DET
cana-3975	17	18	simplified	simplified	ADJ
cana-3975	17	19	,	,	PUNCT
cana-3975	17	20	standardized	standardized	ADJ
cana-3975	17	21	tool	tool	NOUN
cana-3975	17	22	to	to	PART
cana-3975	17	23	assess	assess	VERB
cana-3975	17	24	and	and	CCONJ
cana-3975	17	25	communicate	communicate	VERB
cana-3975	17	26	the	the	DET
cana-3975	17	27	condition	condition	NOUN
cana-3975	17	28	of	of	ADP
cana-3975	17	29	water	water	NOUN
cana-3975	17	30	resources	resource	NOUN
cana-3975	17	31	effectively	effectively	ADV
cana-3975	17	32	.	.	PUNCT
cana-3975	18	1	this	this	DET
cana-3975	18	2	need	need	NOUN
cana-3975	18	3	led	lead	VERB
cana-3975	18	4	to	to	ADP
cana-3975	18	5	the	the	DET
cana-3975	18	6	development	development	NOUN
cana-3975	18	7	of	of	ADP
cana-3975	18	8	the	the	DET
cana-3975	18	9	water	water	NOUN
cana-3975	18	10	quality	quality	NOUN
cana-3975	18	11	index	index	NOUN
cana-3975	18	12	(	(	PUNCT
cana-3975	18	13	wqi	wqi	PROPN
cana-3975	18	14	)	)	PUNCT
cana-3975	18	15	,	,	PUNCT
cana-3975	18	16	a	a	DET
cana-3975	18	17	comprehensive	comprehensive	ADJ
cana-3975	18	18	metric	metric	NOUN
cana-3975	18	19	to	to	PART
cana-3975	18	20	evaluate	evaluate	VERB
cana-3975	18	21	water	water	NOUN
cana-3975	18	22	suitability	suitability	NOUN
cana-3975	18	23	for	for	ADP
cana-3975	18	24	different	different	ADJ
cana-3975	18	25	uses	use	NOUN
cana-3975	18	26	.	.	PUNCT
cana-3975	19	1	the	the	DET
cana-3975	19	2	concept	concept	NOUN
cana-3975	19	3	of	of	ADP
cana-3975	19	4	the	the	DET
cana-3975	19	5	water	water	NOUN
cana-3975	19	6	quality	quality	NOUN
cana-3975	19	7	index	index	NOUN
cana-3975	19	8	(	(	PUNCT
cana-3975	19	9	wqi	wqi	VERB
cana-3975	19	10	)	)	PUNCT
cana-3975	19	11	was	be	AUX
cana-3975	19	12	first	first	ADV
cana-3975	19	13	developed	develop	VERB
cana-3975	19	14	in	in	ADP
cana-3975	19	15	the	the	DET
cana-3975	19	16	early	early	ADJ
cana-3975	19	17	1970s	1970s	NUM
cana-3975	19	18	by	by	ADP
cana-3975	19	19	horton	horton	PROPN
cana-3975	19	20	(	(	PUNCT
cana-3975	19	21	1965	1965	NUM
cana-3975	19	22	)	)	PUNCT
cana-3975	19	23	,	,	PUNCT
cana-3975	19	24	who	who	PRON
cana-3975	19	25	proposed	propose	VERB
cana-3975	19	26	a	a	DET
cana-3975	19	27	method	method	NOUN
cana-3975	19	28	“	"	PUNCT
cana-3975	19	29	to	to	PART
cana-3975	19	30	simplify	simplify	VERB
cana-3975	19	31	the	the	DET
cana-3975	19	32	complex	complex	ADJ
cana-3975	19	33	water	water	NOUN
cana-3975	19	34	quality	quality	NOUN
cana-3975	19	35	data	datum	NOUN
cana-3975	19	36	into	into	ADP
cana-3975	19	37	a	a	DET
cana-3975	19	38	single	single	ADJ
cana-3975	19	39	index”1	index”1	NOUN
cana-3975	19	40	.	.	PUNCT
cana-3975	20	1	this	this	PRON
cana-3975	20	2	was	be	AUX
cana-3975	20	3	further	far	ADV
cana-3975	20	4	simplified	simplify	VERB
cana-3975	20	5	by	by	ADP
cana-3975	20	6	brown	brown	PROPN
cana-3975	20	7	et	et	PROPN
cana-3975	20	8	al	al	PROPN
cana-3975	20	9	.	.	PROPN
cana-3975	20	10	in	in	ADP
cana-3975	20	11	19702	19702	NUM
cana-3975	20	12	.	.	PUNCT
cana-3975	21	1	this	this	DET
cana-3975	21	2	approach	approach	NOUN
cana-3975	21	3	was	be	AUX
cana-3975	21	4	further	far	ADV
cana-3975	21	5	refined	refine	VERB
cana-3975	21	6	and	and	CCONJ
cana-3975	21	7	popularized	popularize	VERB
cana-3975	21	8	by	by	ADP
cana-3975	21	9	the	the	DET
cana-3975	21	10	united	united	PROPN
cana-3975	21	11	nations	nations	PROPN
cana-3975	21	12	environment	environment	PROPN
cana-3975	21	13	programme	programme	PROPN
cana-3975	21	14	(	(	PUNCT
cana-3975	21	15	unep	unep	NOUN
cana-3975	21	16	)	)	PUNCT
cana-3975	21	17	in	in	ADP
cana-3975	21	18	collaboration	collaboration	NOUN
cana-3975	21	19	with	with	ADP
cana-3975	21	20	various	various	ADJ
cana-3975	21	21	researchers3	researchers3	PROPN
cana-3975	21	22	.	.	PUNCT
cana-3975	22	1	the	the	DET
cana-3975	22	2	wqi	wqi	ADJ
cana-3975	22	3	methodology	methodology	NOUN
cana-3975	22	4	was	be	AUX
cana-3975	22	5	designed	design	VERB
cana-3975	22	6	to	to	PART
cana-3975	22	7	provide	provide	VERB
cana-3975	22	8	a	a	DET
cana-3975	22	9	standardized	standardized	ADJ
cana-3975	22	10	metric	metric	NOUN
cana-3975	22	11	for	for	ADP
cana-3975	22	12	assessing	assess	VERB
cana-3975	22	13	water	water	NOUN
cana-3975	22	14	quality	quality	NOUN
cana-3975	22	15	by	by	ADP
cana-3975	22	16	merging	merge	VERB
cana-3975	22	17	numerous	numerous	ADJ
cana-3975	22	18	parameters	parameter	NOUN
cana-3975	22	19	into	into	ADP
cana-3975	22	20	a	a	DET
cana-3975	22	21	single	single	ADJ
cana-3975	22	22	value	value	NOUN
cana-3975	22	23	that	that	PRON
cana-3975	22	24	reflects	reflect	VERB
cana-3975	22	25	overall	overall	ADJ
cana-3975	22	26	water	water	NOUN
cana-3975	22	27	conditions	condition	NOUN
cana-3975	22	28	,	,	PUNCT
cana-3975	22	29	making	make	VERB
cana-3975	22	30	it	it	PRON
cana-3975	22	31	easier	easy	ADJ
cana-3975	22	32	for	for	SCONJ
cana-3975	22	33	decision	decision	NOUN
cana-3975	22	34	-	-	PUNCT
cana-3975	22	35	makers	maker	NOUN
cana-3975	22	36	and	and	CCONJ
cana-3975	22	37	the	the	DET
cana-3975	22	38	public	public	NOUN
cana-3975	22	39	to	to	PART
cana-3975	22	40	understand	understand	VERB
cana-3975	22	41	and	and	CCONJ
cana-3975	22	42	use	use	VERB
cana-3975	22	43	in	in	ADP
cana-3975	22	44	resource	resource	NOUN
cana-3975	22	45	management	management	NOUN
cana-3975	22	46	.	.	PUNCT
cana-3975	23	1	communications	communication	NOUN
cana-3975	23	2	on	on	ADP
cana-3975	23	3	applied	apply	VERB
cana-3975	23	4	nonlinear	nonlinear	ADJ
cana-3975	23	5	analysis	analysis	NOUN
cana-3975	23	6	issn	issn	NOUN
cana-3975	23	7	:	:	PUNCT
cana-3975	23	8	1074	1074	NUM
cana-3975	23	9	-	-	PUNCT
cana-3975	23	10	133x	133x	NUM
cana-3975	23	11	vol	vol	NOUN
cana-3975	23	12	32	32	NUM
cana-3975	23	13	no	no	NOUN
cana-3975	23	14	.	.	PUNCT
cana-3975	24	1	9s	9s	NUM
cana-3975	24	2	(	(	PUNCT
cana-3975	24	3	2025	2025	NUM
cana-3975	24	4	)	)	PUNCT
cana-3975	24	5	693	693	NUM
cana-3975	24	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3975	24	7	the	the	DET
cana-3975	24	8	water	water	NOUN
cana-3975	24	9	quality	quality	NOUN
cana-3975	24	10	index	index	NOUN
cana-3975	24	11	(	(	PUNCT
cana-3975	24	12	wqi	wqi	VERB
cana-3975	24	13	)	)	PUNCT
cana-3975	24	14	is	be	AUX
cana-3975	24	15	a	a	DET
cana-3975	24	16	pivotal	pivotal	ADJ
cana-3975	24	17	metric	metric	NOUN
cana-3975	24	18	,	,	PUNCT
cana-3975	24	19	synthesizing	synthesize	VERB
cana-3975	24	20	various	various	ADJ
cana-3975	24	21	parameters	parameter	NOUN
cana-3975	24	22	of	of	ADP
cana-3975	24	23	water	water	NOUN
cana-3975	24	24	quality	quality	NOUN
cana-3975	24	25	into	into	ADP
cana-3975	24	26	a	a	DET
cana-3975	24	27	single	single	ADJ
cana-3975	24	28	value	value	NOUN
cana-3975	24	29	to	to	PART
cana-3975	24	30	assess	assess	VERB
cana-3975	24	31	the	the	DET
cana-3975	24	32	water	water	NOUN
cana-3975	24	33	for	for	ADP
cana-3975	24	34	diverse	diverse	ADJ
cana-3975	24	35	uses	use	NOUN
cana-3975	24	36	,	,	PUNCT
cana-3975	24	37	including	include	VERB
cana-3975	24	38	drinking	drinking	NOUN
cana-3975	24	39	,	,	PUNCT
cana-3975	24	40	agriculture	agriculture	NOUN
cana-3975	24	41	,	,	PUNCT
cana-3975	24	42	and	and	CCONJ
cana-3975	24	43	industrial	industrial	ADJ
cana-3975	24	44	applications	application	NOUN
cana-3975	24	45	.	.	PUNCT
cana-3975	25	1	the	the	DET
cana-3975	25	2	wqi	wqi	NOUN
cana-3975	25	3	thus	thus	ADV
cana-3975	25	4	helps	help	VERB
cana-3975	25	5	us	we	PRON
cana-3975	25	6	to	to	PART
cana-3975	25	7	make	make	VERB
cana-3975	25	8	informed	informed	ADJ
cana-3975	25	9	decisions	decision	NOUN
cana-3975	25	10	regarding	regard	VERB
cana-3975	25	11	water	water	NOUN
cana-3975	25	12	management	management	NOUN
cana-3975	25	13	and	and	CCONJ
cana-3975	25	14	its	its	PRON
cana-3975	25	15	utilization	utilization	NOUN
cana-3975	25	16	.	.	PUNCT
cana-3975	26	1	by	by	ADP
cana-3975	26	2	monitoring	monitor	VERB
cana-3975	26	3	and	and	CCONJ
cana-3975	26	4	improving	improve	VERB
cana-3975	26	5	water	water	NOUN
cana-3975	26	6	quality	quality	NOUN
cana-3975	26	7	,	,	PUNCT
cana-3975	26	8	communities	community	NOUN
cana-3975	26	9	can	can	AUX
cana-3975	26	10	ensure	ensure	VERB
cana-3975	26	11	sustainable	sustainable	ADJ
cana-3975	26	12	development	development	NOUN
cana-3975	26	13	and	and	CCONJ
cana-3975	26	14	protect	protect	VERB
cana-3975	26	15	the	the	DET
cana-3975	26	16	health	health	NOUN
cana-3975	26	17	of	of	ADP
cana-3975	26	18	both	both	DET
cana-3975	26	19	people	people	NOUN
cana-3975	26	20	and	and	CCONJ
cana-3975	26	21	ecosystems	ecosystem	NOUN
cana-3975	26	22	.	.	PUNCT
cana-3975	27	1	the	the	DET
cana-3975	27	2	importance	importance	NOUN
cana-3975	27	3	of	of	ADP
cana-3975	27	4	quality	quality	NOUN
cana-3975	27	5	water	water	NOUN
cana-3975	27	6	can	can	AUX
cana-3975	27	7	not	not	PART
cana-3975	27	8	be	be	AUX
cana-3975	27	9	stressed	stress	VERB
cana-3975	27	10	in	in	ADP
cana-3975	27	11	the	the	DET
cana-3975	27	12	field	field	NOUN
cana-3975	27	13	of	of	ADP
cana-3975	27	14	aquaculture	aquaculture	NOUN
cana-3975	27	15	where	where	SCONJ
cana-3975	27	16	water	water	NOUN
cana-3975	27	17	quality	quality	NOUN
cana-3975	27	18	directly	directly	ADV
cana-3975	27	19	impacts	impact	VERB
cana-3975	27	20	the	the	DET
cana-3975	27	21	growth	growth	NOUN
cana-3975	27	22	and	and	CCONJ
cana-3975	27	23	health	health	NOUN
cana-3975	27	24	of	of	ADP
cana-3975	27	25	aquatic	aquatic	ADJ
cana-3975	27	26	organisms	organism	NOUN
cana-3975	27	27	.	.	PUNCT
cana-3975	28	1	maintaining	maintain	VERB
cana-3975	28	2	high	high	ADJ
cana-3975	28	3	water	water	NOUN
cana-3975	28	4	quality	quality	NOUN
cana-3975	28	5	is	be	AUX
cana-3975	28	6	essential	essential	ADJ
cana-3975	28	7	for	for	ADP
cana-3975	28	8	maximizing	maximize	VERB
cana-3975	28	9	production	production	NOUN
cana-3975	28	10	and	and	CCONJ
cana-3975	28	11	minimizing	minimize	VERB
cana-3975	28	12	disease	disease	NOUN
cana-3975	28	13	outbreaks	outbreak	NOUN
cana-3975	28	14	in	in	ADP
cana-3975	28	15	aquaculture	aquaculture	NOUN
cana-3975	28	16	systems	system	NOUN
cana-3975	28	17	.	.	PUNCT
cana-3975	29	1	the	the	DET
cana-3975	29	2	prediction	prediction	NOUN
cana-3975	29	3	and	and	CCONJ
cana-3975	29	4	evaluation	evaluation	NOUN
cana-3975	29	5	of	of	ADP
cana-3975	29	6	water	water	NOUN
cana-3975	29	7	quality	quality	NOUN
cana-3975	29	8	have	have	AUX
cana-3975	29	9	been	be	AUX
cana-3975	29	10	completely	completely	ADV
cana-3975	29	11	transformed	transform	VERB
cana-3975	29	12	in	in	ADP
cana-3975	29	13	recent	recent	ADJ
cana-3975	29	14	years	year	NOUN
cana-3975	29	15	by	by	ADP
cana-3975	29	16	the	the	DET
cana-3975	29	17	incorporation	incorporation	NOUN
cana-3975	29	18	of	of	ADP
cana-3975	29	19	machine	machine	NOUN
cana-3975	29	20	learning	learning	NOUN
cana-3975	29	21	(	(	PUNCT
cana-3975	29	22	ml	ml	NOUN
cana-3975	29	23	)	)	PUNCT
cana-3975	29	24	methods	method	NOUN
cana-3975	29	25	.	.	PUNCT
cana-3975	30	1	ml	ml	NOUN
cana-3975	30	2	models	model	NOUN
cana-3975	30	3	improve	improve	VERB
cana-3975	30	4	decision	decision	NOUN
cana-3975	30	5	-	-	PUNCT
cana-3975	30	6	making	making	NOUN
cana-3975	30	7	in	in	ADP
cana-3975	30	8	water	water	NOUN
cana-3975	30	9	resource	resource	NOUN
cana-3975	30	10	management	management	NOUN
cana-3975	30	11	by	by	ADP
cana-3975	30	12	effectively	effectively	ADV
cana-3975	30	13	analysing	analyse	VERB
cana-3975	30	14	complicated	complicated	ADJ
cana-3975	30	15	datasets	dataset	NOUN
cana-3975	30	16	,	,	PUNCT
cana-3975	30	17	spotting	spot	VERB
cana-3975	30	18	trends	trend	NOUN
cana-3975	30	19	,	,	PUNCT
cana-3975	30	20	and	and	CCONJ
cana-3975	30	21	producing	produce	VERB
cana-3975	30	22	precise	precise	ADJ
cana-3975	30	23	water	water	NOUN
cana-3975	30	24	quality	quality	NOUN
cana-3975	30	25	predictions	prediction	NOUN
cana-3975	30	26	.	.	PUNCT
cana-3975	31	1	numerous	numerous	ADJ
cana-3975	31	2	ml	ml	NOUN
cana-3975	31	3	algorithms	algorithm	NOUN
cana-3975	31	4	have	have	AUX
cana-3975	31	5	been	be	AUX
cana-3975	31	6	shown	show	VERB
cana-3975	31	7	in	in	ADP
cana-3975	31	8	studies	study	NOUN
cana-3975	31	9	to	to	PART
cana-3975	31	10	be	be	AUX
cana-3975	31	11	effective	effective	ADJ
cana-3975	31	12	in	in	ADP
cana-3975	31	13	accurately	accurately	ADV
cana-3975	31	14	predicting	predict	VERB
cana-3975	31	15	wqi	wqi	NOUN
cana-3975	31	16	.	.	PUNCT
cana-3975	32	1	additionally	additionally	ADV
cana-3975	32	2	,	,	PUNCT
cana-3975	32	3	it	it	PRON
cana-3975	32	4	has	have	AUX
cana-3975	32	5	been	be	AUX
cana-3975	32	6	demonstrated	demonstrate	VERB
cana-3975	32	7	that	that	SCONJ
cana-3975	32	8	by	by	ADP
cana-3975	32	9	utilising	utilise	VERB
cana-3975	32	10	the	the	DET
cana-3975	32	11	advantages	advantage	NOUN
cana-3975	32	12	of	of	ADP
cana-3975	32	13	several	several	ADJ
cana-3975	32	14	models	model	NOUN
cana-3975	32	15	,	,	PUNCT
cana-3975	32	16	ensemble	ensemble	ADJ
cana-3975	32	17	techniques	technique	NOUN
cana-3975	32	18	like	like	ADP
cana-3975	32	19	random	random	ADJ
cana-3975	32	20	forest	forest	NOUN
cana-3975	32	21	and	and	CCONJ
cana-3975	32	22	gradient	gradient	NOUN
cana-3975	32	23	boosting	boost	VERB
cana-3975	32	24	enhance	enhance	NOUN
cana-3975	32	25	prediction	prediction	NOUN
cana-3975	32	26	performance	performance	NOUN
cana-3975	32	27	.	.	PUNCT
cana-3975	33	1	in	in	ADP
cana-3975	33	2	addition	addition	NOUN
cana-3975	33	3	to	to	ADP
cana-3975	33	4	expediting	expedite	VERB
cana-3975	33	5	the	the	DET
cana-3975	33	6	prediction	prediction	NOUN
cana-3975	33	7	process	process	NOUN
cana-3975	33	8	,	,	PUNCT
cana-3975	33	9	the	the	DET
cana-3975	33	10	use	use	NOUN
cana-3975	33	11	of	of	ADP
cana-3975	33	12	ml	ml	NOUN
cana-3975	33	13	in	in	ADP
cana-3975	33	14	water	water	NOUN
cana-3975	33	15	quality	quality	NOUN
cana-3975	33	16	evaluation	evaluation	NOUN
cana-3975	33	17	enables	enable	VERB
cana-3975	33	18	realtime	realtime	ADJ
cana-3975	33	19	monitoring	monitoring	NOUN
cana-3975	33	20	and	and	CCONJ
cana-3975	33	21	early	early	ADJ
cana-3975	33	22	warning	warning	NOUN
cana-3975	33	23	systems	system	NOUN
cana-3975	33	24	.	.	PUNCT
cana-3975	34	1	this	this	DET
cana-3975	34	2	capacity	capacity	NOUN
cana-3975	34	3	is	be	AUX
cana-3975	34	4	essential	essential	ADJ
cana-3975	34	5	for	for	ADP
cana-3975	34	6	guaranteeing	guarantee	VERB
cana-3975	34	7	sustainable	sustainable	ADJ
cana-3975	34	8	water	water	NOUN
cana-3975	34	9	management	management	NOUN
cana-3975	34	10	and	and	CCONJ
cana-3975	34	11	reducing	reduce	VERB
cana-3975	34	12	the	the	DET
cana-3975	34	13	negative	negative	ADJ
cana-3975	34	14	impacts	impact	NOUN
cana-3975	34	15	of	of	ADP
cana-3975	34	16	water	water	NOUN
cana-3975	34	17	pollution	pollution	NOUN
cana-3975	34	18	.	.	PUNCT
cana-3975	35	1	the	the	DET
cana-3975	35	2	use	use	NOUN
cana-3975	35	3	of	of	ADP
cana-3975	35	4	machine	machine	NOUN
cana-3975	35	5	learning	learning	NOUN
cana-3975	35	6	and	and	CCONJ
cana-3975	35	7	artificial	artificial	ADJ
cana-3975	35	8	intelligence	intelligence	NOUN
cana-3975	35	9	in	in	ADP
cana-3975	35	10	environmental	environmental	ADJ
cana-3975	35	11	monitoring	monitoring	NOUN
cana-3975	35	12	and	and	CCONJ
cana-3975	35	13	management	management	NOUN
cana-3975	35	14	is	be	AUX
cana-3975	35	15	set	set	VERB
cana-3975	35	16	to	to	PART
cana-3975	35	17	grow	grow	VERB
cana-3975	35	18	as	as	ADP
cana-3975	35	19	the	the	DET
cana-3975	35	20	availability	availability	NOUN
cana-3975	35	21	of	of	ADP
cana-3975	35	22	massive	massive	ADJ
cana-3975	35	23	datasets	dataset	NOUN
cana-3975	35	24	and	and	CCONJ
cana-3975	35	25	processing	processing	NOUN
cana-3975	35	26	capacity	capacity	NOUN
cana-3975	35	27	increases	increase	NOUN
cana-3975	35	28	,	,	PUNCT
cana-3975	35	29	offering	offer	VERB
cana-3975	35	30	reliable	reliable	ADJ
cana-3975	35	31	and	and	CCONJ
cana-3975	35	32	scalable	scalable	ADJ
cana-3975	35	33	solutions	solution	NOUN
cana-3975	35	34	for	for	ADP
cana-3975	35	35	water	water	NOUN
cana-3975	35	36	quality	quality	NOUN
cana-3975	35	37	prediction	prediction	NOUN
cana-3975	35	38	.	.	PUNCT
cana-3975	36	1	this	this	DET
cana-3975	36	2	study	study	NOUN
cana-3975	36	3	intends	intend	VERB
cana-3975	36	4	to	to	PART
cana-3975	36	5	compare	compare	VERB
cana-3975	36	6	the	the	DET
cana-3975	36	7	effectiveness	effectiveness	NOUN
cana-3975	36	8	of	of	ADP
cana-3975	36	9	a	a	DET
cana-3975	36	10	number	number	NOUN
cana-3975	36	11	of	of	ADP
cana-3975	36	12	machine	machine	NOUN
cana-3975	36	13	learning	learn	VERB
cana-3975	36	14	algorithms	algorithm	NOUN
cana-3975	36	15	in	in	ADP
cana-3975	36	16	forecasting	forecast	VERB
cana-3975	36	17	the	the	DET
cana-3975	36	18	water	water	NOUN
cana-3975	36	19	quality	quality	PROPN
cana-3975	36	20	index	index	NOUN
cana-3975	36	21	,	,	PUNCT
cana-3975	36	22	including	include	VERB
cana-3975	36	23	svm	svm	PROPN
cana-3975	36	24	,	,	PUNCT
cana-3975	36	25	xgboost	xgboost	PROPN
cana-3975	36	26	,	,	PUNCT
cana-3975	36	27	knn	knn	PROPN
cana-3975	36	28	,	,	PUNCT
cana-3975	36	29	decision	decision	NOUN
cana-3975	36	30	tree	tree	NOUN
cana-3975	36	31	,	,	PUNCT
cana-3975	36	32	naive	naive	ADJ
cana-3975	36	33	bayes	bayes	NOUN
cana-3975	36	34	,	,	PUNCT
cana-3975	36	35	adaboost	adaboost	ADV
cana-3975	36	36	,	,	PUNCT
cana-3975	36	37	and	and	CCONJ
cana-3975	36	38	logistic	logistic	ADJ
cana-3975	36	39	regression	regression	NOUN
cana-3975	36	40	.	.	PUNCT
cana-3975	37	1	the	the	DET
cana-3975	37	2	aim	aim	NOUN
cana-3975	37	3	is	be	AUX
cana-3975	37	4	to	to	PART
cana-3975	37	5	determine	determine	VERB
cana-3975	37	6	the	the	DET
cana-3975	37	7	best	good	ADJ
cana-3975	37	8	methods	method	NOUN
cana-3975	37	9	for	for	ADP
cana-3975	37	10	evaluating	evaluate	VERB
cana-3975	37	11	the	the	DET
cana-3975	37	12	quality	quality	NOUN
cana-3975	37	13	of	of	ADP
cana-3975	37	14	water	water	NOUN
cana-3975	37	15	by	by	ADP
cana-3975	37	16	examining	examine	VERB
cana-3975	37	17	their	their	PRON
cana-3975	37	18	accuracy	accuracy	NOUN
cana-3975	37	19	,	,	PUNCT
cana-3975	37	20	computational	computational	ADJ
cana-3975	37	21	effectiveness	effectiveness	NOUN
cana-3975	37	22	,	,	PUNCT
cana-3975	37	23	and	and	CCONJ
cana-3975	37	24	applicability	applicability	NOUN
cana-3975	37	25	.	.	PUNCT
cana-3975	38	1	this	this	PRON
cana-3975	38	2	will	will	AUX
cana-3975	38	3	help	help	VERB
cana-3975	38	4	to	to	PART
cana-3975	38	5	create	create	VERB
cana-3975	38	6	more	more	ADV
cana-3975	38	7	dependable	dependable	ADJ
cana-3975	38	8	and	and	CCONJ
cana-3975	38	9	efficient	efficient	ADJ
cana-3975	38	10	water	water	NOUN
cana-3975	38	11	management	management	NOUN
cana-3975	38	12	plans	plan	NOUN
cana-3975	38	13	.	.	PUNCT
cana-3975	39	1	related	relate	VERB
cana-3975	39	2	work	work	NOUN
cana-3975	39	3	predicting	predict	VERB
cana-3975	39	4	and	and	CCONJ
cana-3975	39	5	managing	manage	VERB
cana-3975	39	6	water	water	NOUN
cana-3975	39	7	quality	quality	NOUN
cana-3975	39	8	has	have	AUX
cana-3975	39	9	been	be	AUX
cana-3975	39	10	greatly	greatly	ADV
cana-3975	39	11	improved	improve	VERB
cana-3975	39	12	by	by	ADP
cana-3975	39	13	recent	recent	ADJ
cana-3975	39	14	developments	development	NOUN
cana-3975	39	15	in	in	ADP
cana-3975	39	16	machine	machine	NOUN
cana-3975	39	17	learning	learning	NOUN
cana-3975	39	18	.	.	PUNCT
cana-3975	40	1	in	in	ADP
cana-3975	40	2	2018	2018	NUM
cana-3975	40	3	,	,	PUNCT
cana-3975	40	4	in	in	ADP
cana-3975	40	5	order	order	NOUN
cana-3975	40	6	to	to	PART
cana-3975	40	7	estimate	estimate	VERB
cana-3975	40	8	the	the	DET
cana-3975	40	9	water	water	NOUN
cana-3975	40	10	quality	quality	NOUN
cana-3975	40	11	of	of	ADP
cana-3975	40	12	the	the	DET
cana-3975	40	13	tireh	tireh	PROPN
cana-3975	40	14	river	river	NOUN
cana-3975	40	15	in	in	ADP
cana-3975	40	16	iran	iran	PROPN
cana-3975	40	17	,	,	PUNCT
cana-3975	40	18	abbas	abbas	PROPN
cana-3975	40	19	parsaie	parsaie	PROPN
cana-3975	40	20	,	,	PUNCT
cana-3975	40	21	ali	ali	PROPN
cana-3975	40	22	heidar	heidar	PROPN
cana-3975	40	23	nasrolahi	nasrolahi	PROPN
cana-3975	40	24	,	,	PUNCT
cana-3975	40	25	and	and	CCONJ
cana-3975	40	26	amir	amir	PROPN
cana-3975	40	27	hamzeh	hamzeh	PROPN
cana-3975	40	28	haghiabi	haghiabi	PROPN
cana-3975	40	29	assessed	assess	VERB
cana-3975	40	30	artificial	artificial	ADJ
cana-3975	40	31	neural	neural	ADJ
cana-3975	40	32	networks	network	NOUN
cana-3975	40	33	(	(	PUNCT
cana-3975	40	34	ann	ann	PROPN
cana-3975	40	35	)	)	PUNCT
cana-3975	40	36	,	,	PUNCT
cana-3975	40	37	support	support	VERB
cana-3975	40	38	vector	vector	NOUN
cana-3975	40	39	machines	machine	NOUN
cana-3975	40	40	(	(	PUNCT
cana-3975	40	41	svm	svm	PROPN
cana-3975	40	42	)	)	PUNCT
cana-3975	40	43	,	,	PUNCT
cana-3975	40	44	and	and	CCONJ
cana-3975	40	45	the	the	DET
cana-3975	40	46	group	group	NOUN
cana-3975	40	47	method	method	NOUN
cana-3975	40	48	of	of	ADP
cana-3975	40	49	data	data	NOUN
cana-3975	40	50	handling	handling	NOUN
cana-3975	40	51	(	(	PUNCT
cana-3975	40	52	gmdh	gmdh	PROPN
cana-3975	40	53	)	)	PUNCT
cana-3975	40	54	.	.	PUNCT
cana-3975	41	1	using	use	VERB
cana-3975	41	2	characteristics	characteristic	NOUN
cana-3975	41	3	like	like	ADP
cana-3975	41	4	ph	ph	NOUN
cana-3975	41	5	and	and	CCONJ
cana-3975	41	6	dissolved	dissolve	VERB
cana-3975	41	7	oxygen	oxygen	NOUN
cana-3975	41	8	,	,	PUNCT
cana-3975	41	9	svm	svm	PROPN
cana-3975	41	10	proved	prove	VERB
cana-3975	41	11	to	to	PART
cana-3975	41	12	be	be	AUX
cana-3975	41	13	the	the	DET
cana-3975	41	14	most	most	ADV
cana-3975	41	15	accurate	accurate	ADJ
cana-3975	41	16	model	model	NOUN
cana-3975	41	17	,	,	PUNCT
cana-3975	41	18	especially	especially	ADV
cana-3975	41	19	when	when	SCONJ
cana-3975	41	20	combined	combine	VERB
cana-3975	41	21	with	with	ADP
cana-3975	41	22	the	the	DET
cana-3975	41	23	radial	radial	ADJ
cana-3975	41	24	basis	basis	NOUN
cana-3975	41	25	function	function	NOUN
cana-3975	41	26	(	(	PUNCT
cana-3975	41	27	rbf	rbf	PROPN
cana-3975	41	28	)	)	PUNCT
cana-3975	41	29	kernel	kernel	PROPN
cana-3975	41	30	.	.	PUNCT
cana-3975	42	1	despite	despite	SCONJ
cana-3975	42	2	its	its	PRON
cana-3975	42	3	processing	processing	NOUN
cana-3975	42	4	efficiency	efficiency	NOUN
cana-3975	42	5	,	,	PUNCT
cana-3975	42	6	gmdh	gmdh	PROPN
cana-3975	42	7	showed	show	VERB
cana-3975	42	8	poorer	poor	ADJ
cana-3975	42	9	accuracy	accuracy	NOUN
cana-3975	42	10	than	than	ADP
cana-3975	42	11	ann	ann	PROPN
cana-3975	42	12	,	,	PUNCT
cana-3975	42	13	which	which	PRON
cana-3975	42	14	also	also	ADV
cana-3975	42	15	performed	perform	VERB
cana-3975	42	16	well.4	well.4	PROPN
cana-3975	42	17	xiaohui	xiaohui	PROPN
cana-3975	42	18	yan	yan	PROPN
cana-3975	42	19	et	et	PROPN
cana-3975	42	20	al	al	PROPN
cana-3975	42	21	.	.	PROPN
cana-3975	43	1	(	(	PUNCT
cana-3975	43	2	2024	2024	NUM
cana-3975	43	3	)	)	PUNCT
cana-3975	43	4	conducted	conduct	VERB
cana-3975	43	5	a	a	DET
cana-3975	43	6	comprehensive	comprehensive	ADJ
cana-3975	43	7	review	review	NOUN
cana-3975	43	8	of	of	ADP
cana-3975	43	9	170	170	NUM
cana-3975	43	10	studies	study	NOUN
cana-3975	43	11	,	,	PUNCT
cana-3975	43	12	highlighting	highlight	VERB
cana-3975	43	13	the	the	DET
cana-3975	43	14	superior	superior	ADJ
cana-3975	43	15	performance	performance	NOUN
cana-3975	43	16	of	of	ADP
cana-3975	43	17	random	random	ADJ
cana-3975	43	18	forest	forest	NOUN
cana-3975	43	19	,	,	PUNCT
cana-3975	43	20	gradient	gradient	ADJ
cana-3975	43	21	boosting	boosting	NOUN
cana-3975	43	22	,	,	PUNCT
cana-3975	43	23	and	and	CCONJ
cana-3975	43	24	neural	neural	ADJ
cana-3975	43	25	networks	network	NOUN
cana-3975	43	26	compared	compare	VERB
cana-3975	43	27	to	to	ADP
cana-3975	43	28	traditional	traditional	ADJ
cana-3975	43	29	methods	method	NOUN
cana-3975	43	30	.	.	PUNCT
cana-3975	44	1	enhanced	enhance	VERB
cana-3975	44	2	by	by	ADP
cana-3975	44	3	remote	remote	ADJ
cana-3975	44	4	sensing	sensing	NOUN
cana-3975	44	5	and	and	CCONJ
cana-3975	44	6	satellite	satellite	NOUN
cana-3975	44	7	data	datum	NOUN
cana-3975	44	8	,	,	PUNCT
cana-3975	44	9	these	these	DET
cana-3975	44	10	models	model	NOUN
cana-3975	44	11	provided	provide	VERB
cana-3975	44	12	scalable	scalable	ADJ
cana-3975	44	13	predictions	prediction	NOUN
cana-3975	44	14	but	but	CCONJ
cana-3975	44	15	faced	face	VERB
cana-3975	44	16	challenges	challenge	NOUN
cana-3975	44	17	related	relate	VERB
cana-3975	44	18	to	to	ADP
cana-3975	44	19	model	model	NOUN
cana-3975	44	20	uncertainty	uncertainty	NOUN
cana-3975	44	21	and	and	CCONJ
cana-3975	44	22	regional	regional	ADJ
cana-3975	44	23	specificity.5	specificity.5	PROPN
cana-3975	44	24	communications	communication	NOUN
cana-3975	44	25	on	on	ADP
cana-3975	44	26	applied	apply	VERB
cana-3975	44	27	nonlinear	nonlinear	ADJ
cana-3975	44	28	analysis	analysis	NOUN
cana-3975	44	29	issn	issn	NOUN
cana-3975	44	30	:	:	PUNCT
cana-3975	44	31	1074	1074	NUM
cana-3975	44	32	-	-	PUNCT
cana-3975	44	33	133x	133x	NUM
cana-3975	44	34	vol	vol	NOUN
cana-3975	44	35	32	32	NUM
cana-3975	44	36	no	no	NOUN
cana-3975	44	37	.	.	PUNCT
cana-3975	45	1	9s	9s	NUM
cana-3975	45	2	(	(	PUNCT
cana-3975	45	3	2025	2025	NUM
cana-3975	45	4	)	)	PUNCT
cana-3975	46	1	694	694	NUM
cana-3975	46	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-3975	46	3	priyanka	priyanka	PROPN
cana-3975	46	4	gupta	gupta	PROPN
cana-3975	46	5	and	and	CCONJ
cana-3975	46	6	colleagues	colleague	NOUN
cana-3975	46	7	(	(	PUNCT
cana-3975	46	8	2024	2024	NUM
cana-3975	46	9	)	)	PUNCT
cana-3975	46	10	compared	compare	VERB
cana-3975	46	11	logistic	logistic	ADJ
cana-3975	46	12	regression	regression	NOUN
cana-3975	46	13	,	,	PUNCT
cana-3975	46	14	decision	decision	NOUN
cana-3975	46	15	tree	tree	NOUN
cana-3975	46	16	,	,	PUNCT
cana-3975	46	17	random	random	ADJ
cana-3975	46	18	forest	forest	NOUN
cana-3975	46	19	,	,	PUNCT
cana-3975	46	20	and	and	CCONJ
cana-3975	46	21	svm	svm	ADJ
cana-3975	46	22	,	,	PUNCT
cana-3975	46	23	finding	find	VERB
cana-3975	46	24	random	random	ADJ
cana-3975	46	25	forest	forest	NOUN
cana-3975	46	26	to	to	PART
cana-3975	46	27	be	be	AUX
cana-3975	46	28	the	the	DET
cana-3975	46	29	most	most	ADV
cana-3975	46	30	effective	effective	ADJ
cana-3975	46	31	with	with	ADP
cana-3975	46	32	an	an	DET
cana-3975	46	33	accuracy	accuracy	NOUN
cana-3975	46	34	of	of	ADP
cana-3975	46	35	68.58	68.58	NUM
cana-3975	46	36	%	%	NOUN
cana-3975	46	37	.	.	PUNCT
cana-3975	47	1	the	the	DET
cana-3975	47	2	study	study	NOUN
cana-3975	47	3	emphasized	emphasize	VERB
cana-3975	47	4	random	random	ADJ
cana-3975	47	5	forest	forest	NOUN
cana-3975	47	6	’s	’s	PART
cana-3975	47	7	ability	ability	NOUN
cana-3975	47	8	to	to	PART
cana-3975	47	9	handle	handle	VERB
cana-3975	47	10	complex	complex	ADJ
cana-3975	47	11	datasets	dataset	NOUN
cana-3975	47	12	and	and	CCONJ
cana-3975	47	13	mitigate	mitigate	VERB
cana-3975	47	14	overfitting.6	overfitting.6	PRON
cana-3975	47	15	in	in	ADP
cana-3975	47	16	the	the	DET
cana-3975	47	17	u.s	u.s	PROPN
cana-3975	47	18	.	.	PROPN
cana-3975	47	19	,	,	PUNCT
cana-3975	47	20	yinpu	yinpu	PROPN
cana-3975	47	21	li	li	PROPN
cana-3975	47	22	et	et	PROPN
cana-3975	47	23	al	al	PROPN
cana-3975	47	24	.	.	PROPN
cana-3975	48	1	(	(	PUNCT
cana-3975	48	2	2023	2023	NUM
cana-3975	48	3	)	)	PUNCT
cana-3975	48	4	evaluated	evaluate	VERB
cana-3975	48	5	models	model	NOUN
cana-3975	48	6	such	such	ADJ
cana-3975	48	7	as	as	ADP
cana-3975	48	8	linear	linear	PROPN
cana-3975	48	9	regression	regression	NOUN
cana-3975	48	10	,	,	PUNCT
cana-3975	48	11	xgboost	xgboost	ADV
cana-3975	48	12	,	,	PUNCT
cana-3975	48	13	and	and	CCONJ
cana-3975	48	14	lightgbm	lightgbm	VERB
cana-3975	48	15	for	for	ADP
cana-3975	48	16	ph	ph	ADJ
cana-3975	48	17	prediction	prediction	NOUN
cana-3975	48	18	.	.	PUNCT
cana-3975	49	1	ensemble	ensemble	ADJ
cana-3975	49	2	methods	method	NOUN
cana-3975	49	3	,	,	PUNCT
cana-3975	49	4	especially	especially	ADV
cana-3975	49	5	lightgbm	lightgbm	ADJ
cana-3975	49	6	,	,	PUNCT
cana-3975	49	7	achieved	achieve	VERB
cana-3975	49	8	the	the	DET
cana-3975	49	9	highest	high	ADJ
cana-3975	49	10	accuracy	accuracy	NOUN
cana-3975	49	11	and	and	CCONJ
cana-3975	49	12	demonstrated	demonstrate	VERB
cana-3975	49	13	the	the	DET
cana-3975	49	14	potential	potential	NOUN
cana-3975	49	15	to	to	PART
cana-3975	49	16	challenge	challenge	VERB
cana-3975	49	17	assumptions	assumption	NOUN
cana-3975	49	18	about	about	ADP
cana-3975	49	19	the	the	DET
cana-3975	49	20	necessity	necessity	NOUN
cana-3975	49	21	of	of	ADP
cana-3975	49	22	spatial	spatial	ADJ
cana-3975	49	23	and	and	CCONJ
cana-3975	49	24	temporal	temporal	ADJ
cana-3975	49	25	data.7	data.7	PROPN
cana-3975	49	26	md	md	PROPN
cana-3975	49	27	.	.	PROPN
cana-3975	50	1	mehedi	mehedi	PROPN
cana-3975	50	2	hassan	hassan	PROPN
cana-3975	50	3	et	et	PROPN
cana-3975	50	4	al	al	PROPN
cana-3975	50	5	.	.	PROPN
cana-3975	50	6	(	(	PUNCT
cana-3975	50	7	2021	2021	NUM
cana-3975	50	8	)	)	PUNCT
cana-3975	50	9	explored	explore	VERB
cana-3975	50	10	models	model	NOUN
cana-3975	50	11	like	like	ADP
cana-3975	50	12	multinomial	multinomial	ADJ
cana-3975	50	13	logistic	logistic	ADJ
cana-3975	50	14	regression	regression	NOUN
cana-3975	50	15	(	(	PUNCT
cana-3975	50	16	mlr	mlr	NOUN
cana-3975	50	17	)	)	PUNCT
cana-3975	50	18	and	and	CCONJ
cana-3975	50	19	random	random	ADJ
cana-3975	50	20	forest	forest	NOUN
cana-3975	50	21	for	for	ADP
cana-3975	50	22	predicting	predict	VERB
cana-3975	50	23	the	the	DET
cana-3975	50	24	water	water	NOUN
cana-3975	50	25	quality	quality	NOUN
cana-3975	50	26	index	index	NOUN
cana-3975	50	27	(	(	PUNCT
cana-3975	50	28	wqi	wqi	VERB
cana-3975	50	29	)	)	PUNCT
cana-3975	50	30	in	in	ADP
cana-3975	50	31	india	india	PROPN
cana-3975	50	32	.	.	PUNCT
cana-3975	51	1	mlr	mlr	PROPN
cana-3975	51	2	achieved	achieve	VERB
cana-3975	51	3	the	the	DET
cana-3975	51	4	highest	high	ADJ
cana-3975	51	5	accuracy	accuracy	NOUN
cana-3975	51	6	of	of	ADP
cana-3975	51	7	99.83	99.83	NUM
cana-3975	51	8	%	%	NOUN
cana-3975	51	9	,	,	PUNCT
cana-3975	51	10	highlighting	highlight	VERB
cana-3975	51	11	the	the	DET
cana-3975	51	12	effectiveness	effectiveness	NOUN
cana-3975	51	13	of	of	ADP
cana-3975	51	14	supervised	supervised	ADJ
cana-3975	51	15	learning	learning	NOUN
cana-3975	51	16	techniques	technique	NOUN
cana-3975	51	17	for	for	ADP
cana-3975	51	18	water	water	NOUN
cana-3975	51	19	quality	quality	NOUN
cana-3975	51	20	classification.8	classification.8	PROPN
cana-3975	51	21	francesca	francesca	PROPN
cana-3975	51	22	razzano	razzano	PROPN
cana-3975	51	23	et	et	PROPN
cana-3975	51	24	al	al	PROPN
cana-3975	51	25	.	.	PROPN
cana-3975	52	1	(	(	PUNCT
cana-3975	52	2	2024	2024	NUM
cana-3975	52	3	)	)	PUNCT
cana-3975	52	4	introduced	introduce	VERB
cana-3975	52	5	a	a	DET
cana-3975	52	6	novel	novel	ADJ
cana-3975	52	7	approach	approach	NOUN
cana-3975	52	8	for	for	ADP
cana-3975	52	9	turbidity	turbidity	NOUN
cana-3975	52	10	monitoring	monitoring	NOUN
cana-3975	52	11	using	use	VERB
cana-3975	52	12	the	the	DET
cana-3975	52	13	catboost	catboost	ADJ
cana-3975	52	14	algorithm	algorithm	NOUN
cana-3975	52	15	integrated	integrate	VERB
cana-3975	52	16	with	with	ADP
cana-3975	52	17	atmospherically	atmospherically	ADV
cana-3975	52	18	corrected	correct	VERB
cana-3975	52	19	sentinel-2	sentinel-2	NUM
cana-3975	52	20	satellite	satellite	NOUN
cana-3975	52	21	data	datum	NOUN
cana-3975	52	22	.	.	PUNCT
cana-3975	53	1	the	the	DET
cana-3975	53	2	model	model	NOUN
cana-3975	53	3	achieved	achieve	VERB
cana-3975	53	4	high	high	ADJ
cana-3975	53	5	accuracy	accuracy	NOUN
cana-3975	53	6	,	,	PUNCT
cana-3975	53	7	with	with	ADP
cana-3975	53	8	an	an	DET
cana-3975	53	9	rmse	rmse	NOUN
cana-3975	53	10	of	of	ADP
cana-3975	53	11	0.24	0.24	NUM
cana-3975	53	12	,	,	PUNCT
cana-3975	53	13	demonstrating	demonstrate	VERB
cana-3975	53	14	the	the	DET
cana-3975	53	15	potential	potential	NOUN
cana-3975	53	16	of	of	ADP
cana-3975	53	17	combining	combine	VERB
cana-3975	53	18	remote	remote	ADJ
cana-3975	53	19	sensing	sensing	NOUN
cana-3975	53	20	with	with	ADP
cana-3975	53	21	machine	machine	NOUN
cana-3975	53	22	learning	learning	NOUN
cana-3975	53	23	for	for	ADP
cana-3975	53	24	large	large	ADJ
cana-3975	53	25	-	-	PUNCT
cana-3975	53	26	scale	scale	NOUN
cana-3975	53	27	water	water	NOUN
cana-3975	53	28	quality	quality	NOUN
cana-3975	53	29	monitoring.9	monitoring.9	PROPN
cana-3975	53	30	similarly	similarly	ADV
cana-3975	53	31	,	,	PUNCT
cana-3975	53	32	dhruti	dhruti	NOUN
cana-3975	53	33	dheda	dheda	PROPN
cana-3975	53	34	and	and	CCONJ
cana-3975	53	35	ling	ling	PROPN
cana-3975	53	36	cheng	cheng	PROPN
cana-3975	53	37	(	(	PUNCT
cana-3975	53	38	2020	2020	NUM
cana-3975	53	39	)	)	PUNCT
cana-3975	53	40	developed	develop	VERB
cana-3975	53	41	long	long	ADJ
cana-3975	53	42	short	short	ADJ
cana-3975	53	43	-	-	PUNCT
cana-3975	53	44	term	term	NOUN
cana-3975	53	45	memory	memory	NOUN
cana-3975	53	46	(	(	PUNCT
cana-3975	53	47	lstm	lstm	NOUN
cana-3975	53	48	)	)	PUNCT
cana-3975	53	49	models	model	NOUN
cana-3975	53	50	for	for	ADP
cana-3975	53	51	predicting	predict	VERB
cana-3975	53	52	dissolved	dissolve	VERB
cana-3975	53	53	oxygen	oxygen	NOUN
cana-3975	53	54	levels	level	NOUN
cana-3975	53	55	in	in	ADP
cana-3975	53	56	australia	australia	PROPN
cana-3975	53	57	’s	’s	PART
cana-3975	53	58	burnett	burnett	PROPN
cana-3975	53	59	river	river	PROPN
cana-3975	53	60	.	.	PUNCT
cana-3975	54	1	the	the	DET
cana-3975	54	2	single	single	ADJ
cana-3975	54	3	-	-	PUNCT
cana-3975	54	4	step	step	NOUN
cana-3975	54	5	lstm	lstm	NOUN
cana-3975	54	6	model	model	NOUN
cana-3975	54	7	achieved	achieve	VERB
cana-3975	54	8	an	an	DET
cana-3975	54	9	error	error	NOUN
cana-3975	54	10	of	of	ADP
cana-3975	54	11	0.01	0.01	NUM
cana-3975	54	12	mg	mg	PROPN
cana-3975	54	13	/	/	SYM
cana-3975	54	14	l	l	NOUN
cana-3975	54	15	,	,	PUNCT
cana-3975	54	16	proving	prove	VERB
cana-3975	54	17	highly	highly	ADV
cana-3975	54	18	effective	effective	ADJ
cana-3975	54	19	for	for	ADP
cana-3975	54	20	modeling	model	VERB
cana-3975	54	21	sequential	sequential	ADJ
cana-3975	54	22	data	datum	NOUN
cana-3975	54	23	and	and	CCONJ
cana-3975	54	24	long	long	ADJ
cana-3975	54	25	-	-	PUNCT
cana-3975	54	26	term	term	NOUN
cana-3975	54	27	dependencies.10	dependencies.10	NOUN
cana-3975	54	28	thair	thair	NOUN
cana-3975	54	29	s.k	s.k	PROPN
cana-3975	54	30	.	.	PROPN
cana-3975	54	31	,	,	PUNCT
cana-3975	54	32	abdul	abdul	PROPN
cana-3975	54	33	hameed	hameed	PROPN
cana-3975	54	34	m.j	m.j	PROPN
cana-3975	54	35	.	.	PROPN
cana-3975	54	36	,	,	PUNCT
cana-3975	54	37	and	and	CCONJ
cana-3975	54	38	ayad	ayad	PROPN
cana-3975	54	39	s.m	s.m	PROPN
cana-3975	54	40	.	.	PROPN
cana-3975	55	1	(	(	PUNCT
cana-3975	55	2	2014	2014	NUM
cana-3975	55	3	)	)	PUNCT
cana-3975	55	4	used	use	VERB
cana-3975	55	5	ann	ann	PROPN
cana-3975	55	6	to	to	PART
cana-3975	55	7	predict	predict	VERB
cana-3975	55	8	total	total	ADJ
cana-3975	55	9	dissolved	dissolve	VERB
cana-3975	55	10	solids	solid	NOUN
cana-3975	55	11	(	(	PUNCT
cana-3975	55	12	tds	tds	PROPN
cana-3975	55	13	)	)	PUNCT
cana-3975	55	14	in	in	ADP
cana-3975	55	15	the	the	DET
cana-3975	55	16	euphrates	euphrates	PROPN
cana-3975	55	17	river	river	PROPN
cana-3975	55	18	,	,	PUNCT
cana-3975	55	19	utilizing	utilize	VERB
cana-3975	55	20	data	datum	NOUN
cana-3975	55	21	from	from	ADP
cana-3975	55	22	1999	1999	NUM
cana-3975	55	23	to	to	ADP
cana-3975	55	24	2013	2013	NUM
cana-3975	55	25	across	across	ADP
cana-3975	55	26	six	six	NUM
cana-3975	55	27	stations	station	NOUN
cana-3975	55	28	.	.	PUNCT
cana-3975	56	1	ann	ann	PROPN
cana-3975	56	2	outperformed	outperform	VERB
cana-3975	56	3	multiple	multiple	ADJ
cana-3975	56	4	linear	linear	ADJ
cana-3975	56	5	regression	regression	NOUN
cana-3975	56	6	(	(	PUNCT
cana-3975	56	7	mlr	mlr	NOUN
cana-3975	56	8	)	)	PUNCT
cana-3975	56	9	,	,	PUNCT
cana-3975	56	10	achieving	achieve	VERB
cana-3975	56	11	a	a	DET
cana-3975	56	12	correlation	correlation	NOUN
cana-3975	56	13	coefficient	coefficient	NOUN
cana-3975	56	14	of	of	ADP
cana-3975	56	15	0.928	0.928	NUM
cana-3975	56	16	,	,	PUNCT
cana-3975	56	17	rmse	rmse	NOUN
cana-3975	56	18	of	of	ADP
cana-3975	56	19	319.5	319.5	NUM
cana-3975	56	20	,	,	PUNCT
cana-3975	56	21	and	and	CCONJ
cana-3975	56	22	mape	mape	NOUN
cana-3975	56	23	of	of	ADP
cana-3975	56	24	21.26	21.26	NUM
cana-3975	56	25	%	%	NOUN
cana-3975	56	26	.	.	PUNCT
cana-3975	57	1	discharge	discharge	VERB
cana-3975	57	2	and	and	CCONJ
cana-3975	57	3	station	station	NOUN
cana-3975	57	4	distance	distance	NOUN
cana-3975	57	5	were	be	AUX
cana-3975	57	6	identified	identify	VERB
cana-3975	57	7	as	as	ADP
cana-3975	57	8	the	the	DET
cana-3975	57	9	most	most	ADV
cana-3975	57	10	influential	influential	ADJ
cana-3975	57	11	factors	factor	NOUN
cana-3975	57	12	,	,	PUNCT
cana-3975	57	13	with	with	ADP
cana-3975	57	14	relative	relative	ADJ
cana-3975	57	15	importance	importance	NOUN
cana-3975	57	16	of	of	ADP
cana-3975	57	17	75	75	NUM
cana-3975	57	18	%	%	NOUN
cana-3975	57	19	and	and	CCONJ
cana-3975	57	20	61	61	NUM
cana-3975	57	21	%	%	NOUN
cana-3975	57	22	,	,	PUNCT
cana-3975	57	23	respectively	respectively	ADV
cana-3975	57	24	.	.	PUNCT
cana-3975	58	1	the	the	DET
cana-3975	58	2	study	study	NOUN
cana-3975	58	3	emphasized	emphasize	VERB
cana-3975	58	4	ann	ann	PROPN
cana-3975	58	5	’s	’s	PART
cana-3975	58	6	capability	capability	NOUN
cana-3975	58	7	to	to	PART
cana-3975	58	8	model	model	VERB
cana-3975	58	9	complex	complex	ADJ
cana-3975	58	10	relationships	relationship	NOUN
cana-3975	58	11	in	in	ADP
cana-3975	58	12	water	water	NOUN
cana-3975	58	13	quality	quality	NOUN
cana-3975	58	14	data	datum	NOUN
cana-3975	58	15	and	and	CCONJ
cana-3975	58	16	underscored	underscore	VERB
cana-3975	58	17	the	the	DET
cana-3975	58	18	need	need	NOUN
cana-3975	58	19	for	for	ADP
cana-3975	58	20	robust	robust	ADJ
cana-3975	58	21	monitoring	monitoring	NOUN
cana-3975	58	22	systems	system	NOUN
cana-3975	58	23	to	to	PART
cana-3975	58	24	manage	manage	VERB
cana-3975	58	25	upstream	upstream	ADJ
cana-3975	58	26	irrigation	irrigation	NOUN
cana-3975	58	27	and	and	CCONJ
cana-3975	58	28	pollution	pollution	NOUN
cana-3975	58	29	impacts.11	impacts.11	PROPN
cana-3975	58	30	al	al	PROPN
cana-3975	58	31	shehhi	shehhi	PROPN
cana-3975	58	32	,	,	PUNCT
cana-3975	58	33	maryam	maryam	PROPN
cana-3975	58	34	r	r	PROPN
cana-3975	58	35	and	and	CCONJ
cana-3975	58	36	abdullah	abdullah	PROPN
cana-3975	58	37	kaya	kaya	PROPN
cana-3975	58	38	(	(	PUNCT
cana-3975	58	39	2020	2020	NUM
cana-3975	58	40	)	)	PUNCT
cana-3975	58	41	explored	explore	VERB
cana-3975	58	42	sarima	sarima	NOUN
cana-3975	58	43	,	,	PUNCT
cana-3975	58	44	regression	regression	NOUN
cana-3975	58	45	,	,	PUNCT
cana-3975	58	46	and	and	CCONJ
cana-3975	58	47	neural	neural	ADJ
cana-3975	58	48	networks	network	NOUN
cana-3975	58	49	for	for	ADP
cana-3975	58	50	forecasting	forecast	VERB
cana-3975	58	51	water	water	NOUN
cana-3975	58	52	quality	quality	NOUN
cana-3975	58	53	parameters	parameter	NOUN
cana-3975	58	54	such	such	ADJ
cana-3975	58	55	as	as	ADP
cana-3975	58	56	chlorophyll	chlorophyll	NOUN
cana-3975	58	57	-	-	PUNCT
cana-3975	58	58	a	a	PRON
cana-3975	58	59	(	(	PUNCT
cana-3975	58	60	chl	chl	PROPN
cana-3975	58	61	-	-	PUNCT
cana-3975	58	62	a	a	NOUN
cana-3975	58	63	)	)	PUNCT
cana-3975	58	64	,	,	PUNCT
cana-3975	58	65	fluorescence	fluorescence	NOUN
cana-3975	58	66	line	line	NOUN
cana-3975	58	67	height	height	NOUN
cana-3975	58	68	(	(	PUNCT
cana-3975	58	69	flh	flh	PROPN
cana-3975	58	70	)	)	PUNCT
cana-3975	58	71	,	,	PUNCT
cana-3975	58	72	and	and	CCONJ
cana-3975	58	73	sea	sea	NOUN
cana-3975	58	74	surface	surface	NOUN
cana-3975	58	75	temperature	temperature	NOUN
cana-3975	58	76	(	(	PUNCT
cana-3975	58	77	sst	sst	NOUN
cana-3975	58	78	)	)	PUNCT
cana-3975	58	79	using	use	VERB
cana-3975	58	80	modis	modis	PROPN
cana-3975	58	81	satellite	satellite	PROPN
cana-3975	58	82	data	datum	NOUN
cana-3975	58	83	from	from	ADP
cana-3975	58	84	2003	2003	NUM
cana-3975	58	85	to	to	ADP
cana-3975	58	86	2012	2012	NUM
cana-3975	58	87	in	in	ADP
cana-3975	58	88	the	the	DET
cana-3975	58	89	arabian	arabian	ADJ
cana-3975	58	90	gulf	gulf	PROPN
cana-3975	58	91	.	.	PUNCT
cana-3975	59	1	sarima	sarima	PROPN
cana-3975	59	2	was	be	AUX
cana-3975	59	3	most	most	ADV
cana-3975	59	4	effective	effective	ADJ
cana-3975	59	5	for	for	ADP
cana-3975	59	6	predicting	predict	VERB
cana-3975	59	7	sst	sst	NOUN
cana-3975	59	8	and	and	CCONJ
cana-3975	59	9	flh	flh	PROPN
cana-3975	59	10	,	,	PUNCT
cana-3975	59	11	achieving	achieve	VERB
cana-3975	59	12	r²	r²	NOUN
cana-3975	59	13	values	value	NOUN
cana-3975	59	14	over	over	ADP
cana-3975	59	15	0.98	0.98	NUM
cana-3975	59	16	,	,	PUNCT
cana-3975	59	17	while	while	SCONJ
cana-3975	59	18	neural	neural	ADJ
cana-3975	59	19	networks	network	NOUN
cana-3975	59	20	excelled	excel	VERB
cana-3975	59	21	at	at	ADP
cana-3975	59	22	predicting	predict	VERB
cana-3975	59	23	chl	chl	PROPN
cana-3975	59	24	-	-	PUNCT
cana-3975	59	25	a	a	NOUN
cana-3975	59	26	in	in	ADP
cana-3975	59	27	shallow	shallow	ADJ
cana-3975	59	28	,	,	PUNCT
cana-3975	59	29	turbid	turbid	ADJ
cana-3975	59	30	waters	water	NOUN
cana-3975	59	31	.	.	PUNCT
cana-3975	60	1	regression	regression	NOUN
cana-3975	60	2	models	model	NOUN
cana-3975	60	3	performed	perform	VERB
cana-3975	60	4	well	well	ADV
cana-3975	60	5	in	in	ADP
cana-3975	60	6	deep	deep	ADJ
cana-3975	60	7	,	,	PUNCT
cana-3975	60	8	less	less	ADV
cana-3975	60	9	turbid	turbid	ADJ
cana-3975	60	10	conditions	condition	NOUN
cana-3975	60	11	,	,	PUNCT
cana-3975	60	12	demonstrating	demonstrate	VERB
cana-3975	60	13	the	the	DET
cana-3975	60	14	adaptability	adaptability	NOUN
cana-3975	60	15	of	of	ADP
cana-3975	60	16	ml	ml	NOUN
cana-3975	60	17	models	model	NOUN
cana-3975	60	18	to	to	PART
cana-3975	60	19	diverse	diverse	VERB
cana-3975	60	20	water	water	NOUN
cana-3975	60	21	environments	environment	NOUN
cana-3975	60	22	and	and	CCONJ
cana-3975	60	23	their	their	PRON
cana-3975	60	24	potential	potential	NOUN
cana-3975	60	25	for	for	ADP
cana-3975	60	26	real	real	ADJ
cana-3975	60	27	-	-	PUNCT
cana-3975	60	28	time	time	NOUN
cana-3975	60	29	monitoring.12	monitoring.12	NOUN
cana-3975	60	30	folorunso	folorunso	NOUN
cana-3975	60	31	taliha	taliha	PRON
cana-3975	60	32	et	et	PROPN
cana-3975	60	33	al	al	PROPN
cana-3975	60	34	.	.	PROPN
cana-3975	61	1	(	(	PUNCT
cana-3975	61	2	2019	2019	NUM
cana-3975	61	3	)	)	PUNCT
cana-3975	61	4	applied	apply	VERB
cana-3975	61	5	ann	ann	PROPN
cana-3975	61	6	to	to	PART
cana-3975	61	7	predict	predict	VERB
cana-3975	61	8	wqi	wqi	VERB
cana-3975	61	9	in	in	ADP
cana-3975	61	10	aquaculture	aquaculture	NOUN
cana-3975	61	11	systems	system	NOUN
cana-3975	61	12	using	use	VERB
cana-3975	61	13	parameters	parameter	NOUN
cana-3975	61	14	such	such	ADJ
cana-3975	61	15	as	as	ADP
cana-3975	61	16	dissolved	dissolve	VERB
cana-3975	61	17	oxygen	oxygen	NOUN
cana-3975	61	18	(	(	PUNCT
cana-3975	61	19	do	do	NOUN
cana-3975	61	20	)	)	PUNCT
cana-3975	61	21	,	,	PUNCT
cana-3975	61	22	temperature	temperature	NOUN
cana-3975	61	23	,	,	PUNCT
cana-3975	61	24	ph	ph	NOUN
cana-3975	61	25	,	,	PUNCT
cana-3975	61	26	alkalinity	alkalinity	NOUN
cana-3975	61	27	,	,	PUNCT
cana-3975	61	28	and	and	CCONJ
cana-3975	61	29	conductivity	conductivity	NOUN
cana-3975	61	30	.	.	PUNCT
cana-3975	62	1	among	among	ADP
cana-3975	62	2	various	various	ADJ
cana-3975	62	3	activation	activation	NOUN
cana-3975	62	4	functions	function	NOUN
cana-3975	62	5	,	,	PUNCT
cana-3975	62	6	the	the	DET
cana-3975	62	7	tangent	tangent	NOUN
cana-3975	62	8	sigmoid	sigmoid	NOUN
cana-3975	62	9	function	function	NOUN
cana-3975	62	10	performed	perform	VERB
cana-3975	62	11	best	well	ADV
cana-3975	62	12	,	,	PUNCT
cana-3975	62	13	achieving	achieve	VERB
cana-3975	62	14	an	an	DET
cana-3975	62	15	mse	mse	NOUN
cana-3975	62	16	of	of	ADP
cana-3975	62	17	0.00245	0.00245	NUM
cana-3975	62	18	,	,	PUNCT
cana-3975	62	19	rmse	rmse	NOUN
cana-3975	62	20	of	of	ADP
cana-3975	62	21	0.0495	0.0495	NUM
cana-3975	62	22	,	,	PUNCT
cana-3975	62	23	and	and	CCONJ
cana-3975	62	24	an	an	DET
cana-3975	62	25	r	r	NOUN
cana-3975	62	26	-	-	PUNCT
cana-3975	62	27	value	value	NOUN
cana-3975	62	28	of	of	ADP
cana-3975	62	29	0.998	0.998	NUM
cana-3975	62	30	.	.	PUNCT
cana-3975	63	1	the	the	DET
cana-3975	63	2	ann	ann	PROPN
cana-3975	63	3	models	model	NOUN
cana-3975	63	4	outperformed	outperform	VERB
cana-3975	63	5	multilinear	multilinear	PROPN
cana-3975	63	6	regression	regression	NOUN
cana-3975	63	7	(	(	PUNCT
cana-3975	63	8	mlr	mlr	NOUN
cana-3975	63	9	)	)	PUNCT
cana-3975	63	10	,	,	PUNCT
cana-3975	63	11	demonstrating	demonstrate	VERB
cana-3975	63	12	superior	superior	ADJ
cana-3975	63	13	accuracy	accuracy	NOUN
cana-3975	63	14	and	and	CCONJ
cana-3975	63	15	reliability	reliability	NOUN
cana-3975	63	16	for	for	ADP
cana-3975	63	17	water	water	NOUN
cana-3975	63	18	quality	quality	NOUN
cana-3975	63	19	management	management	NOUN
cana-3975	63	20	in	in	ADP
cana-3975	63	21	aquaculture	aquaculture	NOUN
cana-3975	63	22	systems.13	systems.13	PROPN
cana-3975	63	23	communications	communication	NOUN
cana-3975	63	24	on	on	ADP
cana-3975	63	25	applied	apply	VERB
cana-3975	63	26	nonlinear	nonlinear	ADJ
cana-3975	63	27	analysis	analysis	NOUN
cana-3975	63	28	issn	issn	NOUN
cana-3975	63	29	:	:	PUNCT
cana-3975	63	30	1074	1074	NUM
cana-3975	63	31	-	-	PUNCT
cana-3975	63	32	133x	133x	NUM
cana-3975	63	33	vol	vol	NOUN
cana-3975	63	34	32	32	NUM
cana-3975	63	35	no	no	NOUN
cana-3975	63	36	.	.	PUNCT
cana-3975	64	1	9s	9s	NUM
cana-3975	64	2	(	(	PUNCT
cana-3975	64	3	2025	2025	NUM
cana-3975	64	4	)	)	PUNCT
cana-3975	64	5	695	695	NUM
cana-3975	64	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3975	64	7	much	much	ADJ
cana-3975	64	8	of	of	ADP
cana-3975	64	9	the	the	DET
cana-3975	64	10	existing	exist	VERB
cana-3975	64	11	research	research	NOUN
cana-3975	64	12	in	in	ADP
cana-3975	64	13	water	water	NOUN
cana-3975	64	14	quality	quality	NOUN
cana-3975	64	15	prediction	prediction	NOUN
cana-3975	64	16	using	use	VERB
cana-3975	64	17	machine	machine	NOUN
cana-3975	64	18	learning	learning	NOUN
cana-3975	64	19	focuses	focus	VERB
cana-3975	64	20	predominantly	predominantly	ADV
cana-3975	64	21	on	on	ADP
cana-3975	64	22	satellite	satellite	NOUN
cana-3975	64	23	-	-	PUNCT
cana-3975	64	24	derived	derive	VERB
cana-3975	64	25	data	datum	NOUN
cana-3975	64	26	or	or	CCONJ
cana-3975	64	27	generalized	generalized	ADJ
cana-3975	64	28	approaches	approach	NOUN
cana-3975	64	29	not	not	PART
cana-3975	64	30	specifically	specifically	ADV
cana-3975	64	31	tailored	tailor	VERB
cana-3975	64	32	for	for	ADP
cana-3975	64	33	a	a	DET
cana-3975	64	34	particular	particular	ADJ
cana-3975	64	35	industry	industry	NOUN
cana-3975	64	36	or	or	CCONJ
cana-3975	64	37	purpose	purpose	NOUN
cana-3975	64	38	of	of	ADP
cana-3975	64	39	utilization	utilization	NOUN
cana-3975	64	40	.	.	PUNCT
cana-3975	65	1	while	while	SCONJ
cana-3975	65	2	these	these	DET
cana-3975	65	3	studies	study	NOUN
cana-3975	65	4	have	have	AUX
cana-3975	65	5	demonstrated	demonstrate	VERB
cana-3975	65	6	the	the	DET
cana-3975	65	7	efficacy	efficacy	NOUN
cana-3975	65	8	of	of	ADP
cana-3975	65	9	advanced	advanced	ADJ
cana-3975	65	10	algorithms	algorithm	NOUN
cana-3975	65	11	in	in	ADP
cana-3975	65	12	monitoring	monitor	VERB
cana-3975	65	13	large	large	ADJ
cana-3975	65	14	water	water	NOUN
cana-3975	65	15	bodies	body	NOUN
cana-3975	65	16	and	and	CCONJ
cana-3975	65	17	regional	regional	ADJ
cana-3975	65	18	-	-	PUNCT
cana-3975	65	19	scale	scale	NOUN
cana-3975	65	20	environments	environment	NOUN
cana-3975	65	21	,	,	PUNCT
cana-3975	65	22	they	they	PRON
cana-3975	65	23	often	often	ADV
cana-3975	65	24	lack	lack	VERB
cana-3975	65	25	the	the	DET
cana-3975	65	26	granularity	granularity	NOUN
cana-3975	65	27	and	and	CCONJ
cana-3975	65	28	precision	precision	NOUN
cana-3975	65	29	required	require	VERB
cana-3975	65	30	for	for	ADP
cana-3975	65	31	addressing	address	VERB
cana-3975	65	32	the	the	DET
cana-3975	65	33	unique	unique	ADJ
cana-3975	65	34	challenges	challenge	NOUN
cana-3975	65	35	faced	face	VERB
cana-3975	65	36	during	during	ADP
cana-3975	65	37	the	the	DET
cana-3975	65	38	determination	determination	NOUN
cana-3975	65	39	of	of	ADP
cana-3975	65	40	wqi	wqi	NOUN
cana-3975	65	41	for	for	ADP
cana-3975	65	42	industrial	industrial	ADJ
cana-3975	65	43	or	or	CCONJ
cana-3975	65	44	agricultural	agricultural	ADJ
cana-3975	65	45	purposes	purpose	NOUN
cana-3975	65	46	.	.	PUNCT
cana-3975	66	1	furthermore	furthermore	ADV
cana-3975	66	2	,	,	PUNCT
cana-3975	66	3	a	a	DET
cana-3975	66	4	review	review	NOUN
cana-3975	66	5	of	of	ADP
cana-3975	66	6	the	the	DET
cana-3975	66	7	literature	literature	NOUN
cana-3975	66	8	reveals	reveal	VERB
cana-3975	66	9	a	a	DET
cana-3975	66	10	significant	significant	ADJ
cana-3975	66	11	gap	gap	NOUN
cana-3975	66	12	in	in	ADP
cana-3975	66	13	studies	study	NOUN
cana-3975	66	14	that	that	SCONJ
cana-3975	66	15	fine	fine	ADJ
cana-3975	66	16	-	-	PUNCT
cana-3975	66	17	tune	tune	NOUN
cana-3975	66	18	models	model	NOUN
cana-3975	66	19	for	for	ADP
cana-3975	66	20	the	the	DET
cana-3975	66	21	specific	specific	ADJ
cana-3975	66	22	conditions	condition	NOUN
cana-3975	66	23	of	of	ADP
cana-3975	66	24	water	water	NOUN
cana-3975	66	25	usage	usage	NOUN
cana-3975	66	26	such	such	ADJ
cana-3975	66	27	as	as	ADP
cana-3975	66	28	:	:	PUNCT
cana-3975	66	29	aquaculture	aquaculture	NOUN
cana-3975	66	30	ponds	pond	NOUN
cana-3975	66	31	or	or	CCONJ
cana-3975	66	32	effluents	effluent	NOUN
cana-3975	66	33	from	from	ADP
cana-3975	66	34	a	a	DET
cana-3975	66	35	specific	specific	ADJ
cana-3975	66	36	industry	industry	NOUN
cana-3975	66	37	.	.	PUNCT
cana-3975	67	1	this	this	DET
cana-3975	67	2	dearth	dearth	NOUN
cana-3975	67	3	of	of	ADP
cana-3975	67	4	targeted	target	VERB
cana-3975	67	5	research	research	NOUN
cana-3975	67	6	underscores	underscore	VERB
cana-3975	67	7	the	the	DET
cana-3975	67	8	need	need	NOUN
cana-3975	67	9	for	for	ADP
cana-3975	67	10	machine	machine	NOUN
cana-3975	67	11	learning	learning	NOUN
cana-3975	67	12	approaches	approach	NOUN
cana-3975	67	13	designed	design	VERB
cana-3975	67	14	explicitly	explicitly	ADV
cana-3975	67	15	for	for	ADP
cana-3975	67	16	small	small	ADJ
cana-3975	67	17	-	-	PUNCT
cana-3975	67	18	scale	scale	NOUN
cana-3975	67	19	,	,	PUNCT
cana-3975	67	20	water	water	NOUN
cana-3975	67	21	utilization	utilization	NOUN
cana-3975	67	22	systems	system	NOUN
cana-3975	67	23	to	to	PART
cana-3975	67	24	ensure	ensure	VERB
cana-3975	67	25	their	their	PRON
cana-3975	67	26	sustainability	sustainability	NOUN
cana-3975	67	27	and	and	CCONJ
cana-3975	67	28	efficiency	efficiency	NOUN
cana-3975	67	29	.	.	PUNCT
cana-3975	68	1	methodology	methodology	NOUN
cana-3975	68	2	a	a	DET
cana-3975	68	3	)	)	PUNCT
cana-3975	68	4	comparison	comparison	NOUN
cana-3975	68	5	of	of	ADP
cana-3975	68	6	selected	select	VERB
cana-3975	68	7	ml	ml	NOUN
cana-3975	68	8	algorithms	algorithm	NOUN
cana-3975	68	9	xgboost	xgboost	X
cana-3975	68	10	extreme	extreme	ADJ
cana-3975	68	11	gradient	gradient	NOUN
cana-3975	68	12	boosting	boosting	NOUN
cana-3975	68	13	,	,	PUNCT
cana-3975	68	14	or	or	CCONJ
cana-3975	68	15	xgboost	xgboost	ADV
cana-3975	68	16	for	for	ADP
cana-3975	68	17	short	short	ADJ
cana-3975	68	18	,	,	PUNCT
cana-3975	68	19	is	be	AUX
cana-3975	68	20	a	a	DET
cana-3975	68	21	decision	decision	NOUN
cana-3975	68	22	tree	tree	NOUN
cana-3975	68	23	-	-	PUNCT
cana-3975	68	24	based	base	VERB
cana-3975	68	25	ensemble	ensemble	ADJ
cana-3975	68	26	learning	learning	NOUN
cana-3975	68	27	technique	technique	NOUN
cana-3975	68	28	.	.	PUNCT
cana-3975	69	1	by	by	ADP
cana-3975	69	2	concentrating	concentrate	VERB
cana-3975	69	3	on	on	ADP
cana-3975	69	4	the	the	DET
cana-3975	69	5	residuals	residual	NOUN
cana-3975	69	6	,	,	PUNCT
cana-3975	69	7	each	each	DET
cana-3975	69	8	new	new	ADJ
cana-3975	69	9	model	model	NOUN
cana-3975	69	10	it	it	PRON
cana-3975	69	11	creates	create	VERB
cana-3975	69	12	fixes	fix	NOUN
cana-3975	69	13	the	the	DET
cana-3975	69	14	mistakes	mistake	NOUN
cana-3975	69	15	of	of	ADP
cana-3975	69	16	the	the	DET
cana-3975	69	17	one	one	NOUN
cana-3975	69	18	before	before	ADP
cana-3975	69	19	it	it	PRON
cana-3975	69	20	.	.	PUNCT
cana-3975	70	1	in	in	ADP
cana-3975	70	2	order	order	NOUN
cana-3975	70	3	to	to	PART
cana-3975	70	4	manage	manage	VERB
cana-3975	70	5	model	model	NOUN
cana-3975	70	6	complexity	complexity	NOUN
cana-3975	70	7	and	and	CCONJ
cana-3975	70	8	guarantee	guarantee	VERB
cana-3975	70	9	better	well	ADJ
cana-3975	70	10	generalisation	generalisation	NOUN
cana-3975	70	11	and	and	CCONJ
cana-3975	70	12	less	less	ADV
cana-3975	70	13	overfitting	overfitting	ADJ
cana-3975	70	14	,	,	PUNCT
cana-3975	70	15	xgboost	xgboost	PRON
cana-3975	70	16	uses	use	VERB
cana-3975	70	17	a	a	DET
cana-3975	70	18	regularised	regularise	VERB
cana-3975	70	19	objective	objective	ADJ
cana-3975	70	20	function	function	NOUN
cana-3975	70	21	that	that	PRON
cana-3975	70	22	incorporates	incorporate	VERB
cana-3975	70	23	both	both	DET
cana-3975	70	24	loss	loss	NOUN
cana-3975	70	25	function	function	NOUN
cana-3975	70	26	and	and	CCONJ
cana-3975	70	27	penalty	penalty	NOUN
cana-3975	70	28	terms.14	terms.14	NOUN
cana-3975	70	29	in	in	ADP
cana-3975	70	30	water	water	NOUN
cana-3975	70	31	quality	quality	NOUN
cana-3975	70	32	prediction	prediction	NOUN
cana-3975	70	33	,	,	PUNCT
cana-3975	70	34	xgboost	xgboost	ADV
cana-3975	70	35	is	be	AUX
cana-3975	70	36	often	often	ADV
cana-3975	70	37	used	use	VERB
cana-3975	70	38	to	to	PART
cana-3975	70	39	predict	predict	VERB
cana-3975	70	40	continuous	continuous	ADJ
cana-3975	70	41	wqi	wqi	ADJ
cana-3975	70	42	values	value	NOUN
cana-3975	70	43	due	due	ADP
cana-3975	70	44	to	to	ADP
cana-3975	70	45	its	its	PRON
cana-3975	70	46	ability	ability	NOUN
cana-3975	70	47	to	to	PART
cana-3975	70	48	handle	handle	VERB
cana-3975	70	49	missing	miss	VERB
cana-3975	70	50	values	value	NOUN
cana-3975	70	51	,	,	PUNCT
cana-3975	70	52	outliers	outlier	NOUN
cana-3975	70	53	,	,	PUNCT
cana-3975	70	54	and	and	CCONJ
cana-3975	70	55	non	non	ADJ
cana-3975	70	56	-	-	ADJ
cana-3975	70	57	linear	linear	ADJ
cana-3975	70	58	relationships	relationship	NOUN
cana-3975	70	59	.	.	PUNCT
cana-3975	71	1	its	its	PRON
cana-3975	71	2	fast	fast	ADJ
cana-3975	71	3	computation	computation	NOUN
cana-3975	71	4	and	and	CCONJ
cana-3975	71	5	scalability	scalability	NOUN
cana-3975	71	6	make	make	VERB
cana-3975	71	7	it	it	PRON
cana-3975	71	8	ideal	ideal	ADJ
cana-3975	71	9	for	for	ADP
cana-3975	71	10	large	large	ADJ
cana-3975	71	11	datasets	dataset	NOUN
cana-3975	71	12	derived	derive	VERB
cana-3975	71	13	from	from	ADP
cana-3975	71	14	extensive	extensive	ADJ
cana-3975	71	15	monitoring	monitoring	NOUN
cana-3975	71	16	systems	system	NOUN
cana-3975	71	17	.	.	PUNCT
cana-3975	72	1	moreover	moreover	ADV
cana-3975	72	2	,	,	PUNCT
cana-3975	72	3	xgboost	xgboost	X
cana-3975	72	4	provides	provide	VERB
cana-3975	72	5	feature	feature	NOUN
cana-3975	72	6	importance	importance	NOUN
cana-3975	72	7	rankings	ranking	NOUN
cana-3975	72	8	,	,	PUNCT
cana-3975	72	9	enabling	enable	VERB
cana-3975	72	10	researchers	researcher	NOUN
cana-3975	72	11	to	to	PART
cana-3975	72	12	identify	identify	VERB
cana-3975	72	13	critical	critical	ADJ
cana-3975	72	14	parameters	parameter	NOUN
cana-3975	72	15	impacting	impact	VERB
cana-3975	72	16	water	water	NOUN
cana-3975	72	17	quality	quality	NOUN
cana-3975	72	18	.	.	PUNCT
cana-3975	73	1	k	k	ADJ
cana-3975	73	2	-	-	PUNCT
cana-3975	73	3	nearest	near	ADJ
cana-3975	73	4	neighbors	neighbor	NOUN
cana-3975	73	5	(	(	PUNCT
cana-3975	73	6	knn	knn	PROPN
cana-3975	73	7	)	)	PUNCT
cana-3975	73	8	knn	knn	PROPN
cana-3975	73	9	is	be	AUX
cana-3975	73	10	a	a	DET
cana-3975	73	11	non	non	ADJ
cana-3975	73	12	-	-	ADJ
cana-3975	73	13	parametric	parametric	ADJ
cana-3975	73	14	and	and	CCONJ
cana-3975	73	15	instance	instance	NOUN
cana-3975	73	16	-	-	PUNCT
cana-3975	73	17	based	base	VERB
cana-3975	73	18	learning	learning	NOUN
cana-3975	73	19	algorithm	algorithm	NOUN
cana-3975	73	20	used	use	VERB
cana-3975	73	21	for	for	ADP
cana-3975	73	22	classification	classification	NOUN
cana-3975	73	23	and	and	CCONJ
cana-3975	73	24	regression	regression	NOUN
cana-3975	73	25	.	.	PUNCT
cana-3975	74	1	the	the	DET
cana-3975	74	2	algorithm	algorithm	NOUN
cana-3975	74	3	assigns	assign	VERB
cana-3975	74	4	a	a	DET
cana-3975	74	5	data	data	NOUN
cana-3975	74	6	point	point	NOUN
cana-3975	74	7	to	to	ADP
cana-3975	74	8	the	the	DET
cana-3975	74	9	majority	majority	NOUN
cana-3975	74	10	class	class	NOUN
cana-3975	74	11	among	among	ADP
cana-3975	74	12	its	its	PRON
cana-3975	74	13	k	k	NOUN
cana-3975	74	14	-	-	PUNCT
cana-3975	74	15	nearest	near	ADJ
cana-3975	74	16	neighbors	neighbor	NOUN
cana-3975	74	17	,	,	PUNCT
cana-3975	74	18	determined	determine	VERB
cana-3975	74	19	using	use	VERB
cana-3975	74	20	distance	distance	NOUN
cana-3975	74	21	metrics	metric	NOUN
cana-3975	74	22	such	such	ADJ
cana-3975	74	23	as	as	ADP
cana-3975	74	24	euclidean	euclidean	ADJ
cana-3975	74	25	,	,	PUNCT
cana-3975	74	26	manhattan	manhattan	PROPN
cana-3975	74	27	,	,	PUNCT
cana-3975	74	28	or	or	CCONJ
cana-3975	74	29	minkowski	minkowski	ADJ
cana-3975	74	30	.	.	PUNCT
cana-3975	75	1	it	it	PRON
cana-3975	75	2	assumes	assume	VERB
cana-3975	75	3	that	that	SCONJ
cana-3975	75	4	similar	similar	ADJ
cana-3975	75	5	data	datum	NOUN
cana-3975	75	6	points	point	NOUN
cana-3975	75	7	exist	exist	VERB
cana-3975	75	8	in	in	ADP
cana-3975	75	9	close	close	ADJ
cana-3975	75	10	proximity	proximity	NOUN
cana-3975	75	11	,	,	PUNCT
cana-3975	75	12	relying	rely	VERB
cana-3975	75	13	on	on	ADP
cana-3975	75	14	the	the	DET
cana-3975	75	15	distance	distance	NOUN
cana-3975	75	16	function	function	NOUN
cana-3975	75	17	to	to	PART
cana-3975	75	18	measure	measure	VERB
cana-3975	75	19	similarity	similarity	NOUN
cana-3975	75	20	.	.	PUNCT
cana-3975	76	1	knn	knn	PROPN
cana-3975	76	2	does	do	AUX
cana-3975	76	3	not	not	PART
cana-3975	76	4	require	require	VERB
cana-3975	76	5	a	a	DET
cana-3975	76	6	training	training	NOUN
cana-3975	76	7	phase	phase	NOUN
cana-3975	76	8	,	,	PUNCT
cana-3975	76	9	making	make	VERB
cana-3975	76	10	it	it	PRON
cana-3975	76	11	a	a	DET
cana-3975	76	12	lazy	lazy	ADJ
cana-3975	76	13	learning	learning	NOUN
cana-3975	76	14	algorithm.15	algorithm.15	PROPN
cana-3975	76	15	knn	knn	PROPN
cana-3975	76	16	is	be	AUX
cana-3975	76	17	particularly	particularly	ADV
cana-3975	76	18	useful	useful	ADJ
cana-3975	76	19	for	for	ADP
cana-3975	76	20	water	water	NOUN
cana-3975	76	21	quality	quality	NOUN
cana-3975	76	22	classification	classification	NOUN
cana-3975	76	23	tasks	task	NOUN
cana-3975	76	24	,	,	PUNCT
cana-3975	76	25	where	where	SCONJ
cana-3975	76	26	it	it	PRON
cana-3975	76	27	assigns	assign	VERB
cana-3975	76	28	water	water	NOUN
cana-3975	76	29	samples	sample	NOUN
cana-3975	76	30	to	to	ADP
cana-3975	76	31	quality	quality	NOUN
cana-3975	76	32	categories	category	NOUN
cana-3975	76	33	based	base	VERB
cana-3975	76	34	on	on	ADP
cana-3975	76	35	the	the	DET
cana-3975	76	36	proximity	proximity	NOUN
cana-3975	76	37	of	of	ADP
cana-3975	76	38	their	their	PRON
cana-3975	76	39	parameter	parameter	NOUN
cana-3975	76	40	values	value	NOUN
cana-3975	76	41	to	to	PART
cana-3975	76	42	previously	previously	ADV
cana-3975	76	43	labelled	label	VERB
cana-3975	76	44	samples	sample	NOUN
cana-3975	76	45	.	.	PUNCT
cana-3975	77	1	its	its	PRON
cana-3975	77	2	simplicity	simplicity	NOUN
cana-3975	77	3	and	and	CCONJ
cana-3975	77	4	effectiveness	effectiveness	NOUN
cana-3975	77	5	make	make	VERB
cana-3975	77	6	it	it	PRON
cana-3975	77	7	a	a	DET
cana-3975	77	8	popular	popular	ADJ
cana-3975	77	9	choice	choice	NOUN
cana-3975	77	10	for	for	ADP
cana-3975	77	11	preliminary	preliminary	ADJ
cana-3975	77	12	analyses	analysis	NOUN
cana-3975	77	13	in	in	ADP
cana-3975	77	14	regions	region	NOUN
cana-3975	77	15	with	with	ADP
cana-3975	77	16	limited	limited	ADJ
cana-3975	77	17	computational	computational	ADJ
cana-3975	77	18	resources	resource	NOUN
cana-3975	77	19	.	.	PUNCT
cana-3975	78	1	however	however	ADV
cana-3975	78	2	,	,	PUNCT
cana-3975	78	3	its	its	PRON
cana-3975	78	4	sensitivity	sensitivity	NOUN
cana-3975	78	5	to	to	PART
cana-3975	78	6	noise	noise	VERB
cana-3975	78	7	and	and	CCONJ
cana-3975	78	8	high	high	ADJ
cana-3975	78	9	-	-	PUNCT
cana-3975	78	10	dimensional	dimensional	ADJ
cana-3975	78	11	data	datum	NOUN
cana-3975	78	12	necessitates	necessitate	VERB
cana-3975	78	13	careful	careful	ADJ
cana-3975	78	14	pre	pre	ADJ
cana-3975	78	15	-	-	ADJ
cana-3975	78	16	processing	process	VERB
cana-3975	78	17	for	for	ADP
cana-3975	78	18	accurate	accurate	ADJ
cana-3975	78	19	results	result	NOUN
cana-3975	78	20	.	.	PUNCT
cana-3975	79	1	decision	decision	NOUN
cana-3975	79	2	tree	tree	NOUN
cana-3975	79	3	decision	decision	NOUN
cana-3975	79	4	trees	tree	NOUN
cana-3975	79	5	are	be	AUX
cana-3975	79	6	hierarchical	hierarchical	ADJ
cana-3975	79	7	,	,	PUNCT
cana-3975	79	8	tree	tree	NOUN
cana-3975	79	9	-	-	PUNCT
cana-3975	79	10	like	like	ADJ
cana-3975	79	11	structures	structure	NOUN
cana-3975	79	12	that	that	PRON
cana-3975	79	13	recursively	recursively	ADV
cana-3975	79	14	split	split	VERB
cana-3975	79	15	the	the	DET
cana-3975	79	16	data	datum	NOUN
cana-3975	79	17	into	into	ADP
cana-3975	79	18	subsets	subset	NOUN
cana-3975	79	19	based	base	VERB
cana-3975	79	20	on	on	ADP
cana-3975	79	21	feature	feature	NOUN
cana-3975	79	22	values	value	NOUN
cana-3975	79	23	.	.	PUNCT
cana-3975	80	1	at	at	ADP
cana-3975	80	2	each	each	DET
cana-3975	80	3	node	node	NOUN
cana-3975	80	4	,	,	PUNCT
cana-3975	80	5	the	the	DET
cana-3975	80	6	algorithm	algorithm	NOUN
cana-3975	80	7	chooses	choose	VERB
cana-3975	80	8	a	a	DET
cana-3975	80	9	feature	feature	NOUN
cana-3975	80	10	that	that	PRON
cana-3975	80	11	maximizes	maximize	VERB
cana-3975	80	12	information	information	NOUN
cana-3975	80	13	gain	gain	NOUN
cana-3975	80	14	or	or	CCONJ
cana-3975	80	15	minimizes	minimize	NOUN
cana-3975	80	16	impurity	impurity	NOUN
cana-3975	80	17	measures	measure	NOUN
cana-3975	80	18	like	like	ADP
cana-3975	80	19	gini	gini	PROPN
cana-3975	80	20	index	index	NOUN
cana-3975	80	21	or	or	CCONJ
cana-3975	80	22	entropy	entropy	NOUN
cana-3975	80	23	.	.	PUNCT
cana-3975	81	1	the	the	DET
cana-3975	81	2	process	process	NOUN
cana-3975	81	3	continues	continue	VERB
cana-3975	81	4	until	until	SCONJ
cana-3975	81	5	the	the	DET
cana-3975	81	6	data	data	NOUN
cana-3975	81	7	is	be	AUX
cana-3975	81	8	split	split	VERB
cana-3975	81	9	communications	communication	NOUN
cana-3975	81	10	on	on	ADP
cana-3975	81	11	applied	apply	VERB
cana-3975	81	12	nonlinear	nonlinear	ADJ
cana-3975	81	13	analysis	analysis	NOUN
cana-3975	81	14	issn	issn	NOUN
cana-3975	81	15	:	:	PUNCT
cana-3975	81	16	1074	1074	NUM
cana-3975	81	17	-	-	PUNCT
cana-3975	81	18	133x	133x	NUM
cana-3975	81	19	vol	vol	NOUN
cana-3975	81	20	32	32	NUM
cana-3975	81	21	no	no	NOUN
cana-3975	81	22	.	.	PUNCT
cana-3975	82	1	9s	9s	NUM
cana-3975	82	2	(	(	PUNCT
cana-3975	82	3	2025	2025	NUM
cana-3975	82	4	)	)	PUNCT
cana-3975	82	5	696	696	NUM
cana-3975	82	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3975	82	7	into	into	ADP
cana-3975	82	8	pure	pure	ADJ
cana-3975	82	9	subsets	subset	NOUN
cana-3975	82	10	or	or	CCONJ
cana-3975	82	11	reaches	reach	VERB
cana-3975	82	12	a	a	DET
cana-3975	82	13	stopping	stopping	NOUN
cana-3975	82	14	criterion	criterion	NOUN
cana-3975	82	15	.	.	PUNCT
cana-3975	83	1	the	the	DET
cana-3975	83	2	resulting	result	VERB
cana-3975	83	3	structure	structure	NOUN
cana-3975	83	4	is	be	AUX
cana-3975	83	5	intuitive	intuitive	ADJ
cana-3975	83	6	and	and	CCONJ
cana-3975	83	7	easy	easy	ADJ
cana-3975	83	8	to	to	PART
cana-3975	83	9	interpret.16	interpret.16	VERB
cana-3975	83	10	in	in	ADP
cana-3975	83	11	water	water	NOUN
cana-3975	83	12	quality	quality	NOUN
cana-3975	83	13	studies	study	NOUN
cana-3975	83	14	,	,	PUNCT
cana-3975	83	15	decision	decision	NOUN
cana-3975	83	16	trees	tree	NOUN
cana-3975	83	17	are	be	AUX
cana-3975	83	18	used	use	VERB
cana-3975	83	19	to	to	PART
cana-3975	83	20	identify	identify	VERB
cana-3975	83	21	critical	critical	ADJ
cana-3975	83	22	thresholds	threshold	NOUN
cana-3975	83	23	for	for	ADP
cana-3975	83	24	water	water	NOUN
cana-3975	83	25	parameters	parameter	NOUN
cana-3975	83	26	,	,	PUNCT
cana-3975	83	27	such	such	ADJ
cana-3975	83	28	as	as	ADP
cana-3975	83	29	ph	ph	NOUN
cana-3975	83	30	or	or	CCONJ
cana-3975	83	31	dissolved	dissolve	VERB
cana-3975	83	32	oxygen	oxygen	NOUN
cana-3975	83	33	,	,	PUNCT
cana-3975	83	34	that	that	DET
cana-3975	83	35	influence	influence	NOUN
cana-3975	83	36	wqi	wqi	VERB
cana-3975	83	37	classifications	classification	NOUN
cana-3975	83	38	.	.	PUNCT
cana-3975	84	1	they	they	PRON
cana-3975	84	2	are	be	AUX
cana-3975	84	3	particularly	particularly	ADV
cana-3975	84	4	advantageous	advantageous	ADJ
cana-3975	84	5	for	for	ADP
cana-3975	84	6	exploratory	exploratory	ADJ
cana-3975	84	7	analysis	analysis	NOUN
cana-3975	84	8	,	,	PUNCT
cana-3975	84	9	as	as	SCONJ
cana-3975	84	10	they	they	PRON
cana-3975	84	11	provide	provide	VERB
cana-3975	84	12	a	a	DET
cana-3975	84	13	clear	clear	ADJ
cana-3975	84	14	representation	representation	NOUN
cana-3975	84	15	of	of	ADP
cana-3975	84	16	decision	decision	NOUN
cana-3975	84	17	rules	rule	NOUN
cana-3975	84	18	.	.	PUNCT
cana-3975	85	1	however	however	ADV
cana-3975	85	2	,	,	PUNCT
cana-3975	85	3	their	their	PRON
cana-3975	85	4	tendency	tendency	NOUN
cana-3975	85	5	to	to	PART
cana-3975	85	6	overfit	overfit	NOUN
cana-3975	85	7	can	can	AUX
cana-3975	85	8	be	be	AUX
cana-3975	85	9	mitigated	mitigate	VERB
cana-3975	85	10	through	through	ADP
cana-3975	85	11	pruning	prune	VERB
cana-3975	85	12	or	or	CCONJ
cana-3975	85	13	by	by	ADP
cana-3975	85	14	using	use	VERB
cana-3975	85	15	ensemble	ensemble	ADJ
cana-3975	85	16	methods	method	NOUN
cana-3975	85	17	like	like	ADP
cana-3975	85	18	random	random	ADJ
cana-3975	85	19	forest	forest	NOUN
cana-3975	85	20	.	.	PUNCT
cana-3975	86	1	naive	naive	ADJ
cana-3975	86	2	bayes	baye	NOUN
cana-3975	86	3	the	the	DET
cana-3975	86	4	bayes	bayes	PROPN
cana-3975	86	5	theorem	theorem	VERB
cana-3975	86	6	is	be	AUX
cana-3975	86	7	the	the	DET
cana-3975	86	8	foundation	foundation	NOUN
cana-3975	86	9	of	of	ADP
cana-3975	86	10	the	the	DET
cana-3975	86	11	probabilistic	probabilistic	ADJ
cana-3975	86	12	algorithm	algorithm	NOUN
cana-3975	86	13	known	know	VERB
cana-3975	86	14	as	as	ADP
cana-3975	86	15	naive	naive	ADJ
cana-3975	86	16	bayes	bayes	NOUN
cana-3975	86	17	.	.	PUNCT
cana-3975	87	1	with	with	ADP
cana-3975	87	2	the	the	DET
cana-3975	87	3	premise	premise	NOUN
cana-3975	87	4	that	that	SCONJ
cana-3975	87	5	all	all	DET
cana-3975	87	6	characteristics	characteristic	NOUN
cana-3975	87	7	are	be	AUX
cana-3975	87	8	independent	independent	ADJ
cana-3975	87	9	,	,	PUNCT
cana-3975	87	10	it	it	PRON
cana-3975	87	11	determines	determine	VERB
cana-3975	87	12	the	the	DET
cana-3975	87	13	posterior	posterior	ADJ
cana-3975	87	14	probability	probability	NOUN
cana-3975	87	15	of	of	ADP
cana-3975	87	16	a	a	DET
cana-3975	87	17	class	class	NOUN
cana-3975	87	18	given	give	VERB
cana-3975	87	19	the	the	DET
cana-3975	87	20	feature	feature	NOUN
cana-3975	87	21	values	value	NOUN
cana-3975	87	22	(	(	PUNCT
cana-3975	87	23	naive	naive	ADJ
cana-3975	87	24	assumption	assumption	NOUN
cana-3975	87	25	)	)	PUNCT
cana-3975	87	26	.	.	PUNCT
cana-3975	88	1	despite	despite	SCONJ
cana-3975	88	2	this	this	DET
cana-3975	88	3	presumption	presumption	NOUN
cana-3975	88	4	,	,	PUNCT
cana-3975	88	5	naive	naive	ADJ
cana-3975	88	6	bayes	bayes	NOUN
cana-3975	88	7	works	work	VERB
cana-3975	88	8	effectively	effectively	ADV
cana-3975	88	9	in	in	ADP
cana-3975	88	10	a	a	DET
cana-3975	88	11	variety	variety	NOUN
cana-3975	88	12	of	of	ADP
cana-3975	88	13	real	real	ADJ
cana-3975	88	14	-	-	PUNCT
cana-3975	88	15	world	world	NOUN
cana-3975	88	16	situations	situation	NOUN
cana-3975	88	17	,	,	PUNCT
cana-3975	88	18	particularly	particularly	ADV
cana-3975	88	19	when	when	SCONJ
cana-3975	88	20	dealing	deal	VERB
cana-3975	88	21	with	with	ADP
cana-3975	88	22	categorical	categorical	ADJ
cana-3975	88	23	data	datum	NOUN
cana-3975	88	24	.	.	PUNCT
cana-3975	89	1	the	the	DET
cana-3975	89	2	model	model	NOUN
cana-3975	89	3	assigns	assign	VERB
cana-3975	89	4	the	the	DET
cana-3975	89	5	class	class	NOUN
cana-3975	89	6	with	with	ADP
cana-3975	89	7	the	the	DET
cana-3975	89	8	highest	high	ADJ
cana-3975	89	9	probability	probability	NOUN
cana-3975	89	10	to	to	ADP
cana-3975	89	11	a	a	DET
cana-3975	89	12	given	give	VERB
cana-3975	89	13	data	datum	NOUN
cana-3975	89	14	point	point	NOUN
cana-3975	89	15	after	after	ADP
cana-3975	89	16	calculating	calculate	VERB
cana-3975	89	17	the	the	DET
cana-3975	89	18	probabilities	probability	NOUN
cana-3975	89	19	for	for	ADP
cana-3975	89	20	each	each	DET
cana-3975	89	21	class.17	class.17	NOUN
cana-3975	89	22	when	when	SCONJ
cana-3975	89	23	classifying	classify	VERB
cana-3975	89	24	water	water	NOUN
cana-3975	89	25	quality	quality	NOUN
cana-3975	89	26	using	use	VERB
cana-3975	89	27	categorical	categorical	ADJ
cana-3975	89	28	data	datum	NOUN
cana-3975	89	29	,	,	PUNCT
cana-3975	89	30	like	like	ADP
cana-3975	89	31	labelling	labelling	NOUN
cana-3975	89	32	samples	sample	NOUN
cana-3975	89	33	according	accord	VERB
cana-3975	89	34	to	to	ADP
cana-3975	89	35	discrete	discrete	ADJ
cana-3975	89	36	parameter	parameter	NOUN
cana-3975	89	37	ranges	range	NOUN
cana-3975	89	38	(	(	PUNCT
cana-3975	89	39	e.g.	e.g.	ADV
cana-3975	89	40	,	,	PUNCT
cana-3975	89	41	low	low	ADJ
cana-3975	89	42	,	,	PUNCT
cana-3975	89	43	medium	medium	ADJ
cana-3975	89	44	,	,	PUNCT
cana-3975	89	45	high	high	ADJ
cana-3975	89	46	contamination	contamination	NOUN
cana-3975	89	47	levels	level	NOUN
cana-3975	89	48	)	)	PUNCT
cana-3975	89	49	,	,	PUNCT
cana-3975	89	50	naive	naive	ADJ
cana-3975	89	51	bayes	bayes	NOUN
cana-3975	89	52	is	be	AUX
cana-3975	89	53	helpful	helpful	ADJ
cana-3975	89	54	.	.	PUNCT
cana-3975	90	1	it	it	PRON
cana-3975	90	2	is	be	AUX
cana-3975	90	3	perfect	perfect	ADJ
cana-3975	90	4	for	for	ADP
cana-3975	90	5	real	real	ADJ
cana-3975	90	6	-	-	PUNCT
cana-3975	90	7	time	time	NOUN
cana-3975	90	8	applications	application	NOUN
cana-3975	90	9	in	in	ADP
cana-3975	90	10	monitoring	monitor	VERB
cana-3975	90	11	systems	system	NOUN
cana-3975	90	12	because	because	SCONJ
cana-3975	90	13	to	to	ADP
cana-3975	90	14	its	its	PRON
cana-3975	90	15	simplicity	simplicity	NOUN
cana-3975	90	16	and	and	CCONJ
cana-3975	90	17	computational	computational	ADJ
cana-3975	90	18	efficiency	efficiency	NOUN
cana-3975	90	19	.	.	PUNCT
cana-3975	91	1	it	it	PRON
cana-3975	91	2	might	might	AUX
cana-3975	91	3	,	,	PUNCT
cana-3975	91	4	however	however	ADV
cana-3975	91	5	,	,	PUNCT
cana-3975	91	6	have	have	VERB
cana-3975	91	7	trouble	trouble	NOUN
cana-3975	91	8	with	with	ADP
cana-3975	91	9	qualities	quality	NOUN
cana-3975	91	10	that	that	PRON
cana-3975	91	11	contain	contain	VERB
cana-3975	91	12	intricate	intricate	ADJ
cana-3975	91	13	connections	connection	NOUN
cana-3975	91	14	or	or	CCONJ
cana-3975	91	15	are	be	AUX
cana-3975	91	16	highly	highly	ADV
cana-3975	91	17	connected	connect	VERB
cana-3975	91	18	.	.	PUNCT
cana-3975	92	1	adaboost	adaboost	ADV
cana-3975	92	2	adaboost	adaboost	ADV
cana-3975	92	3	,	,	PUNCT
cana-3975	92	4	short	short	ADJ
cana-3975	92	5	for	for	ADP
cana-3975	92	6	adaptive	adaptive	ADJ
cana-3975	92	7	boosting	boosting	NOUN
cana-3975	92	8	,	,	PUNCT
cana-3975	92	9	is	be	AUX
cana-3975	92	10	an	an	DET
cana-3975	92	11	ensemble	ensemble	ADJ
cana-3975	92	12	learning	learning	NOUN
cana-3975	92	13	algorithm	algorithm	NOUN
cana-3975	92	14	that	that	PRON
cana-3975	92	15	combines	combine	VERB
cana-3975	92	16	multiple	multiple	ADJ
cana-3975	92	17	weak	weak	ADJ
cana-3975	92	18	classifiers	classifier	NOUN
cana-3975	92	19	to	to	PART
cana-3975	92	20	create	create	VERB
cana-3975	92	21	a	a	DET
cana-3975	92	22	strong	strong	ADJ
cana-3975	92	23	classifier	classifier	NOUN
cana-3975	92	24	.	.	PUNCT
cana-3975	93	1	it	it	PRON
cana-3975	93	2	assigns	assign	VERB
cana-3975	93	3	weights	weight	NOUN
cana-3975	93	4	to	to	ADP
cana-3975	93	5	data	datum	NOUN
cana-3975	93	6	points	point	NOUN
cana-3975	93	7	and	and	CCONJ
cana-3975	93	8	iteratively	iteratively	ADV
cana-3975	93	9	updates	update	VERB
cana-3975	93	10	these	these	DET
cana-3975	93	11	weights	weight	NOUN
cana-3975	93	12	based	base	VERB
cana-3975	93	13	on	on	ADP
cana-3975	93	14	misclassifications	misclassification	NOUN
cana-3975	93	15	.	.	PUNCT
cana-3975	94	1	the	the	DET
cana-3975	94	2	weak	weak	ADJ
cana-3975	94	3	classifiers	classifier	NOUN
cana-3975	94	4	focus	focus	VERB
cana-3975	94	5	more	more	ADV
cana-3975	94	6	on	on	ADP
cana-3975	94	7	difficult	difficult	ADJ
cana-3975	94	8	cases	case	NOUN
cana-3975	94	9	in	in	ADP
cana-3975	94	10	subsequent	subsequent	ADJ
cana-3975	94	11	iterations	iteration	NOUN
cana-3975	94	12	,	,	PUNCT
cana-3975	94	13	and	and	CCONJ
cana-3975	94	14	the	the	DET
cana-3975	94	15	final	final	ADJ
cana-3975	94	16	model	model	NOUN
cana-3975	94	17	aggregates	aggregate	VERB
cana-3975	94	18	their	their	PRON
cana-3975	94	19	weighted	weight	VERB
cana-3975	94	20	predictions	prediction	NOUN
cana-3975	94	21	to	to	PART
cana-3975	94	22	improve	improve	VERB
cana-3975	94	23	overall	overall	ADJ
cana-3975	94	24	accuracy	accuracy	NOUN
cana-3975	94	25	.	.	PUNCT
cana-3975	95	1	18	18	NUM
cana-3975	95	2	adaboost	adaboost	ADV
cana-3975	95	3	is	be	AUX
cana-3975	95	4	applied	apply	VERB
cana-3975	95	5	in	in	ADP
cana-3975	95	6	water	water	NOUN
cana-3975	95	7	quality	quality	NOUN
cana-3975	95	8	prediction	prediction	NOUN
cana-3975	95	9	to	to	PART
cana-3975	95	10	enhance	enhance	VERB
cana-3975	95	11	the	the	DET
cana-3975	95	12	performance	performance	NOUN
cana-3975	95	13	of	of	ADP
cana-3975	95	14	base	base	NOUN
cana-3975	95	15	classifiers	classifier	NOUN
cana-3975	95	16	like	like	ADP
cana-3975	95	17	decision	decision	NOUN
cana-3975	95	18	trees	tree	NOUN
cana-3975	95	19	or	or	CCONJ
cana-3975	95	20	logistic	logistic	ADJ
cana-3975	95	21	regression	regression	NOUN
cana-3975	95	22	.	.	PUNCT
cana-3975	96	1	its	its	PRON
cana-3975	96	2	ability	ability	NOUN
cana-3975	96	3	to	to	PART
cana-3975	96	4	adapt	adapt	VERB
cana-3975	96	5	to	to	ADP
cana-3975	96	6	different	different	ADJ
cana-3975	96	7	types	type	NOUN
cana-3975	96	8	of	of	ADP
cana-3975	96	9	datasets	dataset	NOUN
cana-3975	96	10	makes	make	VERB
cana-3975	96	11	it	it	PRON
cana-3975	96	12	suitable	suitable	ADJ
cana-3975	96	13	for	for	ADP
cana-3975	96	14	heterogeneous	heterogeneous	ADJ
cana-3975	96	15	water	water	NOUN
cana-3975	96	16	quality	quality	NOUN
cana-3975	96	17	data	datum	NOUN
cana-3975	96	18	.	.	PUNCT
cana-3975	97	1	however	however	ADV
cana-3975	97	2	,	,	PUNCT
cana-3975	97	3	it	it	PRON
cana-3975	97	4	is	be	AUX
cana-3975	97	5	sensitive	sensitive	ADJ
cana-3975	97	6	to	to	ADP
cana-3975	97	7	noise	noise	NOUN
cana-3975	97	8	and	and	CCONJ
cana-3975	97	9	outliers	outlier	NOUN
cana-3975	97	10	,	,	PUNCT
cana-3975	97	11	which	which	PRON
cana-3975	97	12	can	can	AUX
cana-3975	97	13	adversely	adversely	ADV
cana-3975	97	14	affect	affect	VERB
cana-3975	97	15	its	its	PRON
cana-3975	97	16	performance	performance	NOUN
cana-3975	97	17	,	,	PUNCT
cana-3975	97	18	necessitating	necessitate	VERB
cana-3975	97	19	careful	careful	ADJ
cana-3975	97	20	data	datum	NOUN
cana-3975	97	21	pre	pre	ADJ
cana-3975	97	22	-	-	ADJ
cana-3975	97	23	processing	processing	ADJ
cana-3975	97	24	.	.	PUNCT
cana-3975	98	1	logistic	logistic	ADJ
cana-3975	98	2	regression	regression	NOUN
cana-3975	98	3	logistic	logistic	ADJ
cana-3975	98	4	regression	regression	NOUN
cana-3975	98	5	is	be	AUX
cana-3975	98	6	a	a	DET
cana-3975	98	7	linear	linear	ADJ
cana-3975	98	8	model	model	NOUN
cana-3975	98	9	used	use	VERB
cana-3975	98	10	for	for	ADP
cana-3975	98	11	binary	binary	ADJ
cana-3975	98	12	classification	classification	NOUN
cana-3975	98	13	.	.	PUNCT
cana-3975	99	1	it	it	PRON
cana-3975	99	2	represents	represent	VERB
cana-3975	99	3	the	the	DET
cana-3975	99	4	relationship	relationship	NOUN
cana-3975	99	5	between	between	ADP
cana-3975	99	6	the	the	DET
cana-3975	99	7	dependent	dependent	ADJ
cana-3975	99	8	binary	binary	ADJ
cana-3975	99	9	variable	variable	NOUN
cana-3975	99	10	and	and	CCONJ
cana-3975	99	11	one	one	NUM
cana-3975	99	12	or	or	CCONJ
cana-3975	99	13	more	more	ADV
cana-3975	99	14	independent	independent	ADJ
cana-3975	99	15	variables	variable	NOUN
cana-3975	99	16	using	use	VERB
cana-3975	99	17	a	a	DET
cana-3975	99	18	logistic	logistic	ADJ
cana-3975	99	19	function	function	NOUN
cana-3975	99	20	.	.	PUNCT
cana-3975	100	1	the	the	DET
cana-3975	100	2	logistic	logistic	ADJ
cana-3975	100	3	function	function	NOUN
cana-3975	100	4	maps	map	VERB
cana-3975	100	5	input	input	NOUN
cana-3975	100	6	values	value	NOUN
cana-3975	100	7	to	to	ADP
cana-3975	100	8	probabilities	probability	NOUN
cana-3975	100	9	,	,	PUNCT
cana-3975	100	10	making	make	VERB
cana-3975	100	11	it	it	PRON
cana-3975	100	12	suitable	suitable	ADJ
cana-3975	100	13	for	for	ADP
cana-3975	100	14	predicting	predict	VERB
cana-3975	100	15	the	the	DET
cana-3975	100	16	likelihood	likelihood	NOUN
cana-3975	100	17	of	of	ADP
cana-3975	100	18	outcomes	outcome	NOUN
cana-3975	100	19	.	.	PUNCT
cana-3975	101	1	the	the	DET
cana-3975	101	2	model	model	NOUN
cana-3975	101	3	estimates	estimate	VERB
cana-3975	101	4	coefficients	coefficient	NOUN
cana-3975	101	5	using	use	VERB
cana-3975	101	6	maximum	maximum	ADJ
cana-3975	101	7	likelihood	likelihood	NOUN
cana-3975	101	8	estimation.19	estimation.19	NOUN
cana-3975	101	9	in	in	ADP
cana-3975	101	10	water	water	NOUN
cana-3975	101	11	quality	quality	NOUN
cana-3975	101	12	analysis	analysis	NOUN
cana-3975	101	13	,	,	PUNCT
cana-3975	101	14	logistic	logistic	ADJ
cana-3975	101	15	regression	regression	NOUN
cana-3975	101	16	is	be	AUX
cana-3975	101	17	often	often	ADV
cana-3975	101	18	used	use	VERB
cana-3975	101	19	to	to	PART
cana-3975	101	20	classify	classify	VERB
cana-3975	101	21	water	water	NOUN
cana-3975	101	22	samples	sample	NOUN
cana-3975	101	23	as	as	ADV
cana-3975	101	24	safe	safe	ADJ
cana-3975	101	25	or	or	CCONJ
cana-3975	101	26	unsafe	unsafe	ADJ
cana-3975	101	27	based	base	VERB
cana-3975	101	28	on	on	ADP
cana-3975	101	29	a	a	DET
cana-3975	101	30	threshold	threshold	NOUN
cana-3975	101	31	wqi	wqi	VERB
cana-3975	101	32	value	value	NOUN
cana-3975	101	33	.	.	PUNCT
cana-3975	102	1	its	its	PRON
cana-3975	102	2	simplicity	simplicity	NOUN
cana-3975	102	3	and	and	CCONJ
cana-3975	102	4	interpretability	interpretability	NOUN
cana-3975	102	5	make	make	VERB
cana-3975	102	6	it	it	PRON
cana-3975	102	7	a	a	DET
cana-3975	102	8	preferred	preferred	ADJ
cana-3975	102	9	choice	choice	NOUN
cana-3975	102	10	for	for	ADP
cana-3975	102	11	understanding	understand	VERB
cana-3975	102	12	the	the	DET
cana-3975	102	13	influence	influence	NOUN
cana-3975	102	14	of	of	ADP
cana-3975	102	15	specific	specific	ADJ
cana-3975	102	16	parameters	parameter	NOUN
cana-3975	102	17	on	on	ADP
cana-3975	102	18	water	water	NOUN
cana-3975	102	19	quality	quality	NOUN
cana-3975	102	20	.	.	PUNCT
cana-3975	103	1	however	however	ADV
cana-3975	103	2	,	,	PUNCT
cana-3975	103	3	its	its	PRON
cana-3975	103	4	linear	linear	ADJ
cana-3975	103	5	decision	decision	NOUN
cana-3975	103	6	boundary	boundary	NOUN
cana-3975	103	7	may	may	AUX
cana-3975	103	8	limit	limit	VERB
cana-3975	103	9	its	its	PRON
cana-3975	103	10	applicability	applicability	NOUN
cana-3975	103	11	in	in	ADP
cana-3975	103	12	datasets	dataset	NOUN
cana-3975	103	13	with	with	ADP
cana-3975	103	14	complex	complex	ADJ
cana-3975	103	15	non	non	ADJ
cana-3975	103	16	-	-	ADJ
cana-3975	103	17	linear	linear	ADJ
cana-3975	103	18	relationships	relationship	NOUN
cana-3975	103	19	.	.	PUNCT
cana-3975	104	1	communications	communication	NOUN
cana-3975	104	2	on	on	ADP
cana-3975	104	3	applied	apply	VERB
cana-3975	104	4	nonlinear	nonlinear	ADJ
cana-3975	104	5	analysis	analysis	NOUN
cana-3975	104	6	issn	issn	NOUN
cana-3975	104	7	:	:	PUNCT
cana-3975	104	8	1074	1074	NUM
cana-3975	104	9	-	-	PUNCT
cana-3975	104	10	133x	133x	NUM
cana-3975	104	11	vol	vol	NOUN
cana-3975	104	12	32	32	NUM
cana-3975	104	13	no	no	NOUN
cana-3975	104	14	.	.	PUNCT
cana-3975	105	1	9s	9s	NUM
cana-3975	105	2	(	(	PUNCT
cana-3975	105	3	2025	2025	NUM
cana-3975	105	4	)	)	PUNCT
cana-3975	105	5	697	697	NUM
cana-3975	105	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3975	105	7	b	b	X
cana-3975	105	8	)	)	PUNCT
cana-3975	105	9	water	water	NOUN
cana-3975	105	10	quality	quality	NOUN
cana-3975	105	11	index	index	NOUN
cana-3975	105	12	calculation	calculation	NOUN
cana-3975	105	13	&	&	CCONJ
cana-3975	105	14	classification	classification	VERB
cana-3975	105	15	the	the	DET
cana-3975	105	16	fundamental	fundamental	ADJ
cana-3975	105	17	goal	goal	NOUN
cana-3975	105	18	of	of	ADP
cana-3975	105	19	computing	compute	VERB
cana-3975	105	20	the	the	DET
cana-3975	105	21	water	water	NOUN
cana-3975	105	22	quality	quality	NOUN
cana-3975	105	23	index	index	NOUN
cana-3975	105	24	(	(	PUNCT
cana-3975	105	25	wqi	wqi	VERB
cana-3975	105	26	)	)	PUNCT
cana-3975	105	27	is	be	AUX
cana-3975	105	28	to	to	PART
cana-3975	105	29	convert	convert	VERB
cana-3975	105	30	the	the	DET
cana-3975	105	31	complicated	complicated	ADJ
cana-3975	105	32	data	datum	NOUN
cana-3975	105	33	on	on	ADP
cana-3975	105	34	water	water	NOUN
cana-3975	105	35	quality	quality	NOUN
cana-3975	105	36	into	into	ADP
cana-3975	105	37	information	information	NOUN
cana-3975	105	38	that	that	PRON
cana-3975	105	39	is	be	AUX
cana-3975	105	40	simple	simple	ADJ
cana-3975	105	41	to	to	PART
cana-3975	105	42	comprehend	comprehend	VERB
cana-3975	105	43	and	and	CCONJ
cana-3975	105	44	useful	useful	ADJ
cana-3975	105	45	.	.	PUNCT
cana-3975	106	1	the	the	DET
cana-3975	106	2	"	"	PUNCT
cana-3975	106	3	weighted	weight	VERB
cana-3975	106	4	arithmetic	arithmetic	ADJ
cana-3975	106	5	water	water	NOUN
cana-3975	106	6	quality	quality	NOUN
cana-3975	106	7	index	index	NOUN
cana-3975	106	8	method	method	NOUN
cana-3975	106	9	"	"	PUNCT
cana-3975	106	10	is	be	AUX
cana-3975	106	11	used	use	VERB
cana-3975	106	12	to	to	PART
cana-3975	106	13	calculate	calculate	VERB
cana-3975	106	14	wqi	wqi	NOUN
cana-3975	106	15	of	of	ADP
cana-3975	106	16	each	each	DET
cana-3975	106	17	water	water	NOUN
cana-3975	106	18	sample	sample	NOUN
cana-3975	106	19	.	.	PUNCT
cana-3975	107	1	the	the	DET
cana-3975	107	2	formula	formula	NOUN
cana-3975	107	3	to	to	PART
cana-3975	107	4	calculate	calculate	VERB
cana-3975	107	5	wqi	wqi	NOUN
cana-3975	107	6	is	be	AUX
cana-3975	107	7	wqi	wqi	ADJ
cana-3975	107	8	=	=	SYM
cana-3975	107	9	∑	∑	PUNCT
cana-3975	107	10	qi	qi	PROPN
cana-3975	107	11	×	×	PROPN
cana-3975	107	12	wi	wi	PROPN
cana-3975	107	13	/	/	SYM
cana-3975	107	14	∑	∑	PROPN
cana-3975	107	15	wi	wi	PROPN
cana-3975	107	16	here	here	ADV
cana-3975	107	17	wi	wi	PROPN
cana-3975	107	18	unit	unit	NOUN
cana-3975	107	19	weight	weight	NOUN
cana-3975	107	20	of	of	ADP
cana-3975	107	21	ith	ith	PROPN
cana-3975	107	22	parameter	parameter	PROPN
cana-3975	107	23	qi	qi	PROPN
cana-3975	107	24	quality	quality	NOUN
cana-3975	107	25	estimate	estimate	NOUN
cana-3975	107	26	scale	scale	NOUN
cana-3975	107	27	of	of	ADP
cana-3975	107	28	each	each	DET
cana-3975	107	29	parameter	parameter	NOUN
cana-3975	107	30	,	,	PUNCT
cana-3975	107	31	it	it	PRON
cana-3975	107	32	is	be	AUX
cana-3975	107	33	calculated	calculate	VERB
cana-3975	107	34	with	with	ADP
cana-3975	107	35	the	the	DET
cana-3975	107	36	formula	formula	NOUN
cana-3975	107	37	qi	qi	NOUN
cana-3975	107	38	=	=	SYM
cana-3975	107	39	100	100	NUM
cana-3975	107	40	×	×	NOUN
cana-3975	107	41	(	(	PUNCT
cana-3975	107	42	vi	vi	NOUN
cana-3975	107	43	−	−	PROPN
cana-3975	107	44	videal	videal	NOUN
cana-3975	107	45	/	/	SYM
cana-3975	107	46	si	si	NOUN
cana-3975	107	47	−	−	PROPN
cana-3975	107	48	videal	videal	NOUN
cana-3975	107	49	)	)	PUNCT
cana-3975	107	50	here	here	ADV
cana-3975	107	51	vi	vi	NOUN
cana-3975	107	52	measured	measure	VERB
cana-3975	107	53	value	value	NOUN
cana-3975	107	54	of	of	ADP
cana-3975	107	55	ith	ith	PROPN
cana-3975	107	56	parameter	parameter	PROPN
cana-3975	107	57	videal	videal	PROPN
cana-3975	107	58	ideal	ideal	ADJ
cana-3975	107	59	value	value	NOUN
cana-3975	107	60	of	of	ADP
cana-3975	107	61	ith	ith	PROPN
cana-3975	107	62	parameter	parameter	NOUN
cana-3975	107	63	in	in	ADP
cana-3975	107	64	pure	pure	ADJ
cana-3975	107	65	water	water	NOUN
cana-3975	107	66	si	si	PROPN
cana-3975	107	67	standard	standard	ADJ
cana-3975	107	68	value	value	NOUN
cana-3975	107	69	recommended	recommend	VERB
cana-3975	107	70	for	for	ADP
cana-3975	107	71	ith	ith	PROPN
cana-3975	107	72	parameter	parameter	PROPN
cana-3975	107	73	wi	wi	PROPN
cana-3975	107	74	is	be	AUX
cana-3975	107	75	calculated	calculate	VERB
cana-3975	107	76	by	by	ADP
cana-3975	107	77	the	the	DET
cana-3975	107	78	formula	formula	NOUN
cana-3975	108	1	wi	wi	PROPN
cana-3975	108	2	=	=	SYM
cana-3975	108	3	k	k	PROPN
cana-3975	108	4	/	/	SYM
cana-3975	108	5	si	si	PROPN
cana-3975	108	6	here	here	ADV
cana-3975	108	7	k	k	PROPN
cana-3975	108	8	is	be	AUX
cana-3975	108	9	proportionality	proportionality	NOUN
cana-3975	108	10	constant	constant	ADJ
cana-3975	108	11	which	which	PRON
cana-3975	108	12	is	be	AUX
cana-3975	108	13	k	k	NOUN
cana-3975	108	14	=	=	SYM
cana-3975	108	15	1	1	NUM
cana-3975	108	16	/	/	SYM
cana-3975	108	17	∑	∑	NOUN
cana-3975	108	18	si	si	PROPN
cana-3975	108	19	table	table	NOUN
cana-3975	108	20	1	1	NUM
cana-3975	108	21	:	:	PUNCT
cana-3975	108	22	wqi	wqi	VERB
cana-3975	108	23	classification	classification	NOUN
cana-3975	108	24	wqi	wqi	VERB
cana-3975	108	25	score	score	NOUN
cana-3975	108	26	wqi	wqi	VERB
cana-3975	108	27	class	class	NOUN
cana-3975	108	28	90	90	NUM
cana-3975	108	29	-	-	SYM
cana-3975	108	30	100	100	NUM
cana-3975	108	31	excellent	excellent	ADJ
cana-3975	108	32	70	70	NUM
cana-3975	108	33	-	-	SYM
cana-3975	108	34	89	89	NUM
cana-3975	108	35	good	good	ADJ
cana-3975	108	36	50	50	NUM
cana-3975	108	37	-	-	SYM
cana-3975	108	38	69	69	NUM
cana-3975	108	39	fair	fair	ADJ
cana-3975	108	40	25	25	NUM
cana-3975	108	41	-	-	SYM
cana-3975	108	42	49	49	NUM
cana-3975	108	43	poor	poor	ADJ
cana-3975	108	44	0	0	NUM
cana-3975	108	45	-	-	SYM
cana-3975	108	46	24	24	NUM
cana-3975	108	47	very	very	ADV
cana-3975	108	48	poor	poor	ADJ
cana-3975	108	49	table	table	NOUN
cana-3975	108	50	2	2	NUM
cana-3975	108	51	:	:	PUNCT
cana-3975	108	52	wqi	wqi	VERB
cana-3975	108	53	ideal	ideal	ADJ
cana-3975	108	54	values	value	NOUN
cana-3975	108	55	parameter	parameter	PROPN
cana-3975	108	56	ideal	ideal	ADJ
cana-3975	108	57	value	value	NOUN
cana-3975	108	58	(	(	PUNCT
cana-3975	108	59	videal	videal	NOUN
cana-3975	108	60	)	)	PUNCT
cana-3975	108	61	dissolved	dissolve	VERB
cana-3975	108	62	oxygen	oxygen	NOUN
cana-3975	108	63	14.6	14.6	NUM
cana-3975	108	64	mg	mg	PROPN
cana-3975	108	65	/	/	SYM
cana-3975	108	66	l	l	NOUN
cana-3975	108	67	ph	ph	ADJ
cana-3975	108	68	7.0	7.0	NUM
cana-3975	108	69	conductivity	conductivity	NOUN
cana-3975	108	70	0	0	NUM
cana-3975	109	1	µs	µs	NOUN
cana-3975	109	2	/	/	SYM
cana-3975	109	3	cm	cm	NOUN
cana-3975	109	4	biological	biological	ADJ
cana-3975	109	5	oxygen	oxygen	NOUN
cana-3975	109	6	demand	demand	NOUN
cana-3975	109	7	0	0	NUM
cana-3975	109	8	mg	mg	NUM
cana-3975	109	9	/	/	SYM
cana-3975	109	10	l	l	NOUN
cana-3975	109	11	nitrate	nitrate	NOUN
cana-3975	109	12	0	0	NUM
cana-3975	109	13	mg	mg	NUM
cana-3975	109	14	/	/	SYM
cana-3975	109	15	l	l	NOUN
cana-3975	109	16	fecal	fecal	ADJ
cana-3975	109	17	coliform	coliform	NOUN
cana-3975	109	18	0/100	0/100	NUM
cana-3975	109	19	ml	ml	ADP
cana-3975	109	20	total	total	ADJ
cana-3975	109	21	coliform	coliform	NOUN
cana-3975	109	22	0/100	0/100	NUM
cana-3975	109	23	ml	ml	ADP
cana-3975	109	24	communications	communication	NOUN
cana-3975	109	25	on	on	ADP
cana-3975	109	26	applied	apply	VERB
cana-3975	109	27	nonlinear	nonlinear	ADJ
cana-3975	109	28	analysis	analysis	NOUN
cana-3975	109	29	issn	issn	NOUN
cana-3975	109	30	:	:	PUNCT
cana-3975	109	31	1074	1074	NUM
cana-3975	109	32	-	-	PUNCT
cana-3975	109	33	133x	133x	NUM
cana-3975	109	34	vol	vol	NOUN
cana-3975	109	35	32	32	NUM
cana-3975	109	36	no	no	NOUN
cana-3975	109	37	.	.	PUNCT
cana-3975	110	1	9s	9s	NUM
cana-3975	110	2	(	(	PUNCT
cana-3975	110	3	2025	2025	NUM
cana-3975	110	4	)	)	PUNCT
cana-3975	110	5	698	698	NUM
cana-3975	110	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3975	110	7	internationally	internationally	ADV
cana-3975	110	8	,	,	PUNCT
cana-3975	110	9	the	the	DET
cana-3975	110	10	ideal	ideal	NOUN
cana-3975	110	11	wqi	wqi	VERB
cana-3975	110	12	values	value	NOUN
cana-3975	110	13	are	be	AUX
cana-3975	110	14	determined	determine	VERB
cana-3975	110	15	by	by	ADP
cana-3975	110	16	world	world	NOUN
cana-3975	110	17	health	health	NOUN
cana-3975	110	18	organization20	organization20	NOUN
cana-3975	110	19	.	.	PUNCT
cana-3975	111	1	bureau	bureau	PROPN
cana-3975	111	2	of	of	ADP
cana-3975	111	3	indian	indian	PROPN
cana-3975	111	4	standards	standard	NOUN
cana-3975	111	5	(	(	PUNCT
cana-3975	111	6	bis	bis	ADJ
cana-3975	111	7	)	)	PUNCT
cana-3975	111	8	determines	determine	VERB
cana-3975	111	9	the	the	DET
cana-3975	111	10	ideal	ideal	NOUN
cana-3975	111	11	wqi	wqi	VERB
cana-3975	111	12	values	value	NOUN
cana-3975	111	13	for	for	ADP
cana-3975	111	14	india21	india21	ADJ
cana-3975	111	15	.	.	PUNCT
cana-3975	112	1	however	however	ADV
cana-3975	112	2	,	,	PUNCT
cana-3975	112	3	most	most	ADJ
cana-3975	112	4	of	of	ADP
cana-3975	112	5	the	the	DET
cana-3975	112	6	studies	study	NOUN
cana-3975	112	7	are	be	AUX
cana-3975	112	8	based	base	VERB
cana-3975	112	9	on	on	ADP
cana-3975	112	10	the	the	DET
cana-3975	112	11	values	value	NOUN
cana-3975	112	12	recommended	recommend	VERB
cana-3975	112	13	by	by	ADP
cana-3975	112	14	united	united	PROPN
cana-3975	112	15	states	states	PROPN
cana-3975	112	16	environmental	environmental	PROPN
cana-3975	112	17	protection	protection	PROPN
cana-3975	112	18	agency	agency	PROPN
cana-3975	112	19	(	(	PUNCT
cana-3975	112	20	us	us	PROPN
cana-3975	112	21	epa	epa	PROPN
cana-3975	112	22	)	)	PUNCT
cana-3975	112	23	and	and	CCONJ
cana-3975	112	24	united	united	PROPN
cana-3975	112	25	nations	nations	PROPN
cana-3975	112	26	environment	environment	PROPN
cana-3975	112	27	programme	programme	NOUN
cana-3975	112	28	(	(	PUNCT
cana-3975	112	29	unep)22	unep)22	PROPN
cana-3975	112	30	.	.	PUNCT
cana-3975	113	1	furthermore	furthermore	ADV
cana-3975	113	2	,	,	PUNCT
cana-3975	113	3	it	it	PRON
cana-3975	113	4	must	must	AUX
cana-3975	113	5	be	be	AUX
cana-3975	113	6	noted	note	VERB
cana-3975	113	7	that	that	SCONJ
cana-3975	113	8	these	these	DET
cana-3975	113	9	values	value	NOUN
cana-3975	113	10	change	change	VERB
cana-3975	113	11	based	base	VERB
cana-3975	113	12	on	on	ADP
cana-3975	113	13	the	the	DET
cana-3975	113	14	purpose	purpose	NOUN
cana-3975	113	15	of	of	ADP
cana-3975	113	16	water	water	NOUN
cana-3975	113	17	utilisation	utilisation	NOUN
cana-3975	113	18	and	and	CCONJ
cana-3975	113	19	public	public	ADJ
cana-3975	113	20	policies	policy	NOUN
cana-3975	113	21	in	in	ADP
cana-3975	113	22	effect	effect	NOUN
cana-3975	113	23	.	.	PUNCT
cana-3975	114	1	c	c	X
cana-3975	114	2	)	)	PUNCT
cana-3975	114	3	dataset	dataset	VERB
cana-3975	114	4	the	the	DET
cana-3975	114	5	parameters	parameter	NOUN
cana-3975	114	6	—	—	PUNCT
cana-3975	114	7	dissolved	dissolve	VERB
cana-3975	114	8	oxygen	oxygen	NOUN
cana-3975	114	9	(	(	PUNCT
cana-3975	114	10	do	do	AUX
cana-3975	114	11	)	)	PUNCT
cana-3975	114	12	,	,	PUNCT
cana-3975	114	13	ph	ph	VERB
cana-3975	114	14	,	,	PUNCT
cana-3975	114	15	conductivity	conductivity	NOUN
cana-3975	114	16	,	,	PUNCT
cana-3975	114	17	biological	biological	ADJ
cana-3975	114	18	oxygen	oxygen	NOUN
cana-3975	114	19	demand	demand	NOUN
cana-3975	114	20	(	(	PUNCT
cana-3975	114	21	bod	bod	PROPN
cana-3975	114	22	)	)	PUNCT
cana-3975	114	23	,	,	PUNCT
cana-3975	114	24	nitrate	nitrate	NOUN
cana-3975	114	25	,	,	PUNCT
cana-3975	114	26	and	and	CCONJ
cana-3975	114	27	faecal	faecal	ADJ
cana-3975	114	28	coliform	coliform	NOUN
cana-3975	114	29	—	—	PUNCT
cana-3975	114	30	are	be	AUX
cana-3975	114	31	essential	essential	ADJ
cana-3975	114	32	for	for	ADP
cana-3975	114	33	comprehensively	comprehensively	ADV
cana-3975	114	34	assessing	assess	VERB
cana-3975	114	35	water	water	NOUN
cana-3975	114	36	quality	quality	NOUN
cana-3975	114	37	.	.	PUNCT
cana-3975	115	1	do	do	AUX
cana-3975	115	2	reflects	reflect	VERB
cana-3975	115	3	the	the	DET
cana-3975	115	4	oxygen	oxygen	NOUN
cana-3975	115	5	available	available	ADJ
cana-3975	115	6	for	for	ADP
cana-3975	115	7	aquatic	aquatic	ADJ
cana-3975	115	8	life	life	NOUN
cana-3975	115	9	and	and	CCONJ
cana-3975	115	10	indicates	indicate	VERB
cana-3975	115	11	pollution	pollution	NOUN
cana-3975	115	12	or	or	CCONJ
cana-3975	115	13	nutrient	nutrient	NOUN
cana-3975	115	14	loading	loading	NOUN
cana-3975	115	15	.	.	PUNCT
cana-3975	116	1	ph	ph	PROPN
cana-3975	116	2	captures	capture	NOUN
cana-3975	116	3	the	the	DET
cana-3975	116	4	water	water	NOUN
cana-3975	116	5	's	's	PART
cana-3975	116	6	acidity	acidity	NOUN
cana-3975	116	7	or	or	CCONJ
cana-3975	116	8	alkalinity	alkalinity	NOUN
cana-3975	116	9	,	,	PUNCT
cana-3975	116	10	influencing	influence	VERB
cana-3975	116	11	chemical	chemical	ADJ
cana-3975	116	12	and	and	CCONJ
cana-3975	116	13	biological	biological	ADJ
cana-3975	116	14	processes	process	NOUN
cana-3975	116	15	.	.	PUNCT
cana-3975	117	1	bod	bod	ADJ
cana-3975	117	2	highlights	highlight	NOUN
cana-3975	117	3	organic	organic	ADJ
cana-3975	117	4	pollution	pollution	NOUN
cana-3975	117	5	and	and	CCONJ
cana-3975	117	6	oxygen	oxygen	NOUN
cana-3975	117	7	depletion	depletion	NOUN
cana-3975	117	8	,	,	PUNCT
cana-3975	117	9	often	often	ADV
cana-3975	117	10	linked	link	VERB
cana-3975	117	11	to	to	ADP
cana-3975	117	12	sewage	sewage	NOUN
cana-3975	117	13	or	or	CCONJ
cana-3975	117	14	industrial	industrial	ADJ
cana-3975	117	15	waste	waste	NOUN
cana-3975	117	16	.	.	PUNCT
cana-3975	118	1	nitrate	nitrate	NOUN
cana-3975	118	2	levels	level	NOUN
cana-3975	118	3	reveal	reveal	VERB
cana-3975	118	4	nutrient	nutrient	NOUN
cana-3975	118	5	loading	loading	NOUN
cana-3975	118	6	and	and	CCONJ
cana-3975	118	7	eutrophication	eutrophication	NOUN
cana-3975	118	8	risks	risk	NOUN
cana-3975	118	9	from	from	ADP
cana-3975	118	10	agricultural	agricultural	ADJ
cana-3975	118	11	runoff	runoff	NOUN
cana-3975	118	12	,	,	PUNCT
cana-3975	118	13	and	and	CCONJ
cana-3975	118	14	faecal	faecal	ADJ
cana-3975	118	15	coliform	coliform	NOUN
cana-3975	118	16	indicates	indicate	VERB
cana-3975	118	17	microbial	microbial	ADJ
cana-3975	118	18	contamination	contamination	NOUN
cana-3975	118	19	and	and	CCONJ
cana-3975	118	20	potential	potential	ADJ
cana-3975	118	21	waterborne	waterborne	ADJ
cana-3975	118	22	disease	disease	NOUN
cana-3975	118	23	risks	risk	NOUN
cana-3975	118	24	.	.	PUNCT
cana-3975	119	1	together	together	ADV
cana-3975	119	2	,	,	PUNCT
cana-3975	119	3	these	these	DET
cana-3975	119	4	parameters	parameter	NOUN
cana-3975	119	5	provide	provide	VERB
cana-3975	119	6	a	a	DET
cana-3975	119	7	robust	robust	ADJ
cana-3975	119	8	dataset	dataset	NOUN
cana-3975	119	9	for	for	ADP
cana-3975	119	10	predicting	predict	VERB
cana-3975	119	11	water	water	NOUN
cana-3975	119	12	quality	quality	NOUN
cana-3975	119	13	index	index	NOUN
cana-3975	119	14	(	(	PUNCT
cana-3975	119	15	wqi	wqi	VERB
cana-3975	119	16	)	)	PUNCT
cana-3975	119	17	and	and	CCONJ
cana-3975	119	18	identifying	identify	VERB
cana-3975	119	19	key	key	ADJ
cana-3975	119	20	water	water	NOUN
cana-3975	119	21	quality	quality	NOUN
cana-3975	119	22	challenges	challenge	NOUN
cana-3975	119	23	effectively	effectively	ADV
cana-3975	119	24	.	.	PUNCT
cana-3975	120	1	the	the	DET
cana-3975	120	2	united	united	PROPN
cana-3975	120	3	nations	nations	PROPN
cana-3975	120	4	,	,	PUNCT
cana-3975	120	5	through	through	ADP
cana-3975	120	6	the	the	DET
cana-3975	120	7	united	united	PROPN
cana-3975	120	8	nations	nations	PROPN
cana-3975	120	9	environment	environment	PROPN
cana-3975	120	10	programme	programme	PROPN
cana-3975	120	11	(	(	PUNCT
cana-3975	120	12	unep	unep	NOUN
cana-3975	120	13	)	)	PUNCT
cana-3975	120	14	and	and	CCONJ
cana-3975	120	15	the	the	DET
cana-3975	120	16	world	world	PROPN
cana-3975	120	17	health	health	NOUN
cana-3975	120	18	organization	organization	NOUN
cana-3975	120	19	(	(	PUNCT
cana-3975	120	20	who	who	PRON
cana-3975	120	21	)	)	PUNCT
cana-3975	120	22	,	,	PUNCT
cana-3975	120	23	emphasizes	emphasize	VERB
cana-3975	120	24	the	the	DET
cana-3975	120	25	importance	importance	NOUN
cana-3975	120	26	of	of	ADP
cana-3975	120	27	monitoring	monitor	VERB
cana-3975	120	28	key	key	ADJ
cana-3975	120	29	water	water	NOUN
cana-3975	120	30	quality	quality	NOUN
cana-3975	120	31	parameters	parameter	NOUN
cana-3975	120	32	that	that	PRON
cana-3975	120	33	align	align	VERB
cana-3975	120	34	closely	closely	ADV
cana-3975	120	35	with	with	ADP
cana-3975	120	36	those	those	PRON
cana-3975	120	37	selected	select	VERB
cana-3975	120	38	for	for	ADP
cana-3975	120	39	this	this	DET
cana-3975	120	40	study	study	NOUN
cana-3975	120	41	.	.	PUNCT
cana-3975	121	1	by	by	ADP
cana-3975	121	2	focusing	focus	VERB
cana-3975	121	3	on	on	ADP
cana-3975	121	4	these	these	DET
cana-3975	121	5	specific	specific	ADJ
cana-3975	121	6	parameters	parameter	NOUN
cana-3975	121	7	,	,	PUNCT
cana-3975	121	8	the	the	DET
cana-3975	121	9	study	study	NOUN
cana-3975	121	10	aligns	align	VERB
cana-3975	121	11	with	with	ADP
cana-3975	121	12	global	global	ADJ
cana-3975	121	13	water	water	NOUN
cana-3975	121	14	quality	quality	NOUN
cana-3975	121	15	monitoring	monitoring	NOUN
cana-3975	121	16	standards	standard	NOUN
cana-3975	121	17	.	.	PUNCT
cana-3975	122	1	table	table	NOUN
cana-3975	122	2	3	3	NUM
cana-3975	122	3	:	:	PUNCT
cana-3975	122	4	dataset	dataset	NOUN
cana-3975	122	5	used	use	VERB
cana-3975	122	6	for	for	ADP
cana-3975	122	7	comparing	compare	VERB
cana-3975	122	8	algorithms	algorithm	NOUN
cana-3975	122	9	dissolved	dissolve	VERB
cana-3975	122	10	oxygen	oxygen	NOUN
cana-3975	122	11	(	(	PUNCT
cana-3975	122	12	mg	mg	PROPN
cana-3975	122	13	/	/	SYM
cana-3975	122	14	l	l	NOUN
cana-3975	122	15	)	)	PUNCT
cana-3975	122	16	ph	ph	NOUN
cana-3975	122	17	conductivity	conductivity	NOUN
cana-3975	122	18	(	(	PUNCT
cana-3975	122	19	µs	µs	NOUN
cana-3975	122	20	/	/	SYM
cana-3975	122	21	cm	cm	NOUN
cana-3975	122	22	)	)	PUNCT
cana-3975	122	23	bod	bod	NOUN
cana-3975	122	24	(	(	PUNCT
cana-3975	122	25	mg	mg	PROPN
cana-3975	122	26	/	/	SYM
cana-3975	122	27	l	l	NOUN
cana-3975	122	28	)	)	PUNCT
cana-3975	122	29	nitrate	nitrate	NOUN
cana-3975	122	30	(	(	PUNCT
cana-3975	122	31	mg	mg	PROPN
cana-3975	122	32	/	/	SYM
cana-3975	122	33	l	l	NOUN
cana-3975	122	34	)	)	PUNCT
cana-3975	122	35	faecal	faecal	ADJ
cana-3975	122	36	coliform	coliform	NOUN
cana-3975	122	37	(	(	PUNCT
cana-3975	122	38	count/100ml	count/100ml	NUM
cana-3975	122	39	)	)	PUNCT
cana-3975	122	40	wqi	wqi	VERB
cana-3975	122	41	class	class	NOUN
cana-3975	122	42	7.5	7.5	NUM
cana-3975	122	43	7.2	7.2	NUM
cana-3975	122	44	800	800	NUM
cana-3975	122	45	2.5	2.5	NUM
cana-3975	122	46	10	10	NUM
cana-3975	122	47	50	50	NUM
cana-3975	122	48	good	good	ADJ
cana-3975	122	49	3.0	3.0	NUM
cana-3975	122	50	9.0	9.0	NUM
cana-3975	122	51	1500	1500	NUM
cana-3975	122	52	7.0	7.0	NUM
cana-3975	122	53	40	40	NUM
cana-3975	122	54	500	500	NUM
cana-3975	122	55	poor	poor	ADJ
cana-3975	122	56	8.0	8.0	NUM
cana-3975	122	57	6.8	6.8	NUM
cana-3975	122	58	500	500	NUM
cana-3975	122	59	1.0	1.0	NUM
cana-3975	122	60	5	5	NUM
cana-3975	122	61	30	30	NUM
cana-3975	122	62	excellent	excellent	ADJ
cana-3975	122	63	4.0	4.0	NUM
cana-3975	122	64	8.5	8.5	NUM
cana-3975	122	65	1200	1200	NUM
cana-3975	122	66	4.5	4.5	NUM
cana-3975	122	67	20	20	NUM
cana-3975	122	68	200	200	NUM
cana-3975	122	69	fair	fair	ADJ
cana-3975	122	70	2.5	2.5	NUM
cana-3975	122	71	8.0	8.0	NUM
cana-3975	122	72	1600	1600	NUM
cana-3975	122	73	8.0	8.0	NUM
cana-3975	122	74	50	50	NUM
cana-3975	122	75	1000	1000	NUM
cana-3975	122	76	very	very	ADV
cana-3975	122	77	poor	poor	ADJ
cana-3975	122	78	experimental	experimental	ADJ
cana-3975	122	79	results	result	NOUN
cana-3975	122	80	the	the	DET
cana-3975	122	81	experiments	experiment	NOUN
cana-3975	122	82	aimed	aim	VERB
cana-3975	122	83	to	to	PART
cana-3975	122	84	predict	predict	VERB
cana-3975	122	85	the	the	DET
cana-3975	122	86	water	water	NOUN
cana-3975	122	87	quality	quality	NOUN
cana-3975	122	88	index	index	NOUN
cana-3975	122	89	(	(	PUNCT
cana-3975	122	90	wqi	wqi	VERB
cana-3975	122	91	)	)	PUNCT
cana-3975	122	92	using	use	VERB
cana-3975	122	93	various	various	ADJ
cana-3975	122	94	machine	machine	NOUN
cana-3975	122	95	learning	learn	VERB
cana-3975	122	96	classifiers	classifier	NOUN
cana-3975	122	97	.	.	PUNCT
cana-3975	123	1	the	the	DET
cana-3975	123	2	results	result	NOUN
cana-3975	123	3	demonstrated	demonstrate	VERB
cana-3975	123	4	that	that	SCONJ
cana-3975	123	5	naïve	naïve	ADJ
cana-3975	123	6	bayes	bayes	PROPN
cana-3975	123	7	outperformed	outperform	VERB
cana-3975	123	8	other	other	ADJ
cana-3975	123	9	ml	ml	NOUN
cana-3975	123	10	classifiers	classifier	NOUN
cana-3975	123	11	in	in	ADP
cana-3975	123	12	accuracy	accuracy	NOUN
cana-3975	123	13	and	and	CCONJ
cana-3975	123	14	reliability	reliability	NOUN
cana-3975	123	15	for	for	ADP
cana-3975	123	16	wqi	wqi	ADJ
cana-3975	123	17	prediction	prediction	NOUN
cana-3975	123	18	.	.	PUNCT
cana-3975	124	1	this	this	DET
cana-3975	124	2	highlights	highlight	NOUN
cana-3975	124	3	naïve	naïve	ADJ
cana-3975	124	4	bayes	bayes	NOUN
cana-3975	124	5	’	'	PUNCT
cana-3975	124	6	suitability	suitability	NOUN
cana-3975	124	7	for	for	ADP
cana-3975	124	8	handling	handle	VERB
cana-3975	124	9	categorical	categorical	ADJ
cana-3975	124	10	data	datum	NOUN
cana-3975	124	11	and	and	CCONJ
cana-3975	124	12	simple	simple	ADJ
cana-3975	124	13	probabilistic	probabilistic	ADJ
cana-3975	124	14	relationships	relationship	NOUN
cana-3975	124	15	,	,	PUNCT
cana-3975	124	16	making	make	VERB
cana-3975	124	17	it	it	PRON
cana-3975	124	18	an	an	DET
cana-3975	124	19	effective	effective	ADJ
cana-3975	124	20	choice	choice	NOUN
cana-3975	124	21	for	for	ADP
cana-3975	124	22	water	water	NOUN
cana-3975	124	23	quality	quality	NOUN
cana-3975	124	24	assessments	assessment	NOUN
cana-3975	124	25	.	.	PUNCT
cana-3975	125	1	table	table	NOUN
cana-3975	125	2	4	4	NUM
cana-3975	125	3	:	:	PUNCT
cana-3975	126	1	accuracy	accuracy	NOUN
cana-3975	126	2	comparison	comparison	NOUN
cana-3975	126	3	of	of	ADP
cana-3975	126	4	algorithms	algorithms	NOUN
cana-3975	126	5	s.no	s.no	VERB
cana-3975	126	6	model	model	NOUN
cana-3975	126	7	accuracy	accuracy	NOUN
cana-3975	126	8	score	score	NOUN
cana-3975	126	9	1	1	NUM
cana-3975	126	10	naïve	naïve	ADJ
cana-3975	126	11	bayes	bayes	NOUN
cana-3975	126	12	0.788540	0.788540	NUM
cana-3975	126	13	2	2	NUM
cana-3975	126	14	xgboost	xgboost	ADP
cana-3975	126	15	0.770980	0.770980	NUM
cana-3975	126	16	3	3	NUM
cana-3975	126	17	kneighbours	kneighbour	NOUN
cana-3975	126	18	0.753420	0.753420	NUM
cana-3975	126	19	4	4	NUM
cana-3975	126	20	decision	decision	NOUN
cana-3975	126	21	tree	tree	NOUN
cana-3975	126	22	0.745102	0.745102	NUM
cana-3975	126	23	communications	communication	NOUN
cana-3975	126	24	on	on	ADP
cana-3975	126	25	applied	apply	VERB
cana-3975	126	26	nonlinear	nonlinear	ADJ
cana-3975	126	27	analysis	analysis	NOUN
cana-3975	126	28	issn	issn	NOUN
cana-3975	126	29	:	:	PUNCT
cana-3975	126	30	1074	1074	NUM
cana-3975	126	31	-	-	PUNCT
cana-3975	126	32	133x	133x	NUM
cana-3975	126	33	vol	vol	NOUN
cana-3975	126	34	32	32	NUM
cana-3975	126	35	no	no	NOUN
cana-3975	126	36	.	.	PUNCT
cana-3975	127	1	9s	9s	NUM
cana-3975	127	2	(	(	PUNCT
cana-3975	127	3	2025	2025	NUM
cana-3975	127	4	)	)	PUNCT
cana-3975	127	5	699	699	NUM
cana-3975	127	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3975	127	7	5	5	NUM
cana-3975	127	8	adaboost	adaboost	ADV
cana-3975	127	9	0.734011	0.734011	NUM
cana-3975	127	10	6	6	NUM
cana-3975	127	11	logistic	logistic	ADJ
cana-3975	127	12	regression	regression	NOUN
cana-3975	127	13	0.728466	0.728466	NUM
cana-3975	127	14	fig1	fig1	NOUN
cana-3975	127	15	:	:	PUNCT
cana-3975	127	16	accuracy	accuracy	NOUN
cana-3975	127	17	comparison	comparison	NOUN
cana-3975	127	18	of	of	ADP
cana-3975	127	19	algorithms	algorithm	NOUN
cana-3975	127	20	conclusion	conclusion	NOUN
cana-3975	127	21	in	in	ADP
cana-3975	127	22	forecasting	forecasting	NOUN
cana-3975	127	23	and	and	CCONJ
cana-3975	127	24	controlling	control	VERB
cana-3975	127	25	the	the	DET
cana-3975	127	26	water	water	NOUN
cana-3975	127	27	quality	quality	NOUN
cana-3975	127	28	index	index	NOUN
cana-3975	127	29	(	(	PUNCT
cana-3975	127	30	wqi	wqi	PROPN
cana-3975	127	31	)	)	PUNCT
cana-3975	127	32	,	,	PUNCT
cana-3975	127	33	a	a	DET
cana-3975	127	34	crucial	crucial	ADJ
cana-3975	127	35	indicator	indicator	NOUN
cana-3975	127	36	for	for	ADP
cana-3975	127	37	guaranteeing	guarantee	VERB
cana-3975	127	38	clean	clean	ADJ
cana-3975	127	39	and	and	CCONJ
cana-3975	127	40	safe	safe	ADJ
cana-3975	127	41	water	water	NOUN
cana-3975	127	42	that	that	PRON
cana-3975	127	43	is	be	AUX
cana-3975	127	44	necessary	necessary	ADJ
cana-3975	127	45	for	for	ADP
cana-3975	127	46	human	human	ADJ
cana-3975	127	47	health	health	NOUN
cana-3975	127	48	,	,	PUNCT
cana-3975	127	49	environmental	environmental	ADJ
cana-3975	127	50	sustainability	sustainability	NOUN
cana-3975	127	51	,	,	PUNCT
cana-3975	127	52	and	and	CCONJ
cana-3975	127	53	economic	economic	ADJ
cana-3975	127	54	growth	growth	NOUN
cana-3975	127	55	,	,	PUNCT
cana-3975	127	56	this	this	DET
cana-3975	127	57	conversation	conversation	NOUN
cana-3975	127	58	highlights	highlight	VERB
cana-3975	127	59	the	the	DET
cana-3975	127	60	revolutionary	revolutionary	ADJ
cana-3975	127	61	potential	potential	NOUN
cana-3975	127	62	of	of	ADP
cana-3975	127	63	machine	machine	NOUN
cana-3975	127	64	learning	learning	NOUN
cana-3975	127	65	(	(	PUNCT
cana-3975	127	66	ml	ml	NOUN
cana-3975	127	67	)	)	PUNCT
cana-3975	127	68	.	.	PUNCT
cana-3975	128	1	it	it	PRON
cana-3975	128	2	is	be	AUX
cana-3975	128	3	clear	clear	ADJ
cana-3975	128	4	from	from	ADP
cana-3975	128	5	evaluating	evaluate	VERB
cana-3975	128	6	different	different	ADJ
cana-3975	128	7	machine	machine	NOUN
cana-3975	128	8	learning	learn	VERB
cana-3975	128	9	classifiers	classifier	NOUN
cana-3975	128	10	—	—	PUNCT
cana-3975	128	11	such	such	ADJ
cana-3975	128	12	as	as	ADP
cana-3975	128	13	decision	decision	NOUN
cana-3975	128	14	trees	tree	NOUN
cana-3975	128	15	,	,	PUNCT
cana-3975	128	16	k	k	NOUN
cana-3975	128	17	-	-	PUNCT
cana-3975	128	18	nearest	near	ADJ
cana-3975	128	19	neighbours	neighbour	NOUN
cana-3975	128	20	,	,	PUNCT
cana-3975	128	21	naïve	naïve	ADJ
cana-3975	128	22	bayes	bayes	PROPN
cana-3975	128	23	,	,	PUNCT
cana-3975	128	24	xgboost	xgboost	ADV
cana-3975	128	25	,	,	PUNCT
cana-3975	128	26	adaboost	adaboost	ADV
cana-3975	128	27	,	,	PUNCT
cana-3975	128	28	logistic	logistic	ADJ
cana-3975	128	29	regression	regression	NOUN
cana-3975	128	30	,	,	PUNCT
cana-3975	128	31	and	and	CCONJ
cana-3975	128	32	random	random	ADJ
cana-3975	128	33	forests	forest	NOUN
cana-3975	128	34	—	—	PUNCT
cana-3975	128	35	that	that	SCONJ
cana-3975	128	36	these	these	DET
cana-3975	128	37	models	model	NOUN
cana-3975	128	38	provide	provide	VERB
cana-3975	128	39	reliable	reliable	ADJ
cana-3975	128	40	,	,	PUNCT
cana-3975	128	41	scalable	scalable	ADJ
cana-3975	128	42	,	,	PUNCT
cana-3975	128	43	and	and	CCONJ
cana-3975	128	44	accurate	accurate	ADJ
cana-3975	128	45	solutions	solution	NOUN
cana-3975	128	46	for	for	ADP
cana-3975	128	47	a	a	DET
cana-3975	128	48	range	range	NOUN
cana-3975	128	49	of	of	ADP
cana-3975	128	50	applications	application	NOUN
cana-3975	128	51	,	,	PUNCT
cana-3975	128	52	from	from	ADP
cana-3975	128	53	large	large	ADJ
cana-3975	128	54	-	-	PUNCT
cana-3975	128	55	scale	scale	NOUN
cana-3975	128	56	industrial	industrial	ADJ
cana-3975	128	57	wastewater	wastewater	NOUN
cana-3975	128	58	monitoring	monitoring	NOUN
cana-3975	128	59	to	to	ADP
cana-3975	128	60	aquaculture	aquaculture	NOUN
cana-3975	128	61	systems	system	NOUN
cana-3975	128	62	.	.	PUNCT
cana-3975	129	1	interestingly	interestingly	ADV
cana-3975	129	2	,	,	PUNCT
cana-3975	129	3	research	research	NOUN
cana-3975	129	4	shows	show	VERB
cana-3975	129	5	that	that	SCONJ
cana-3975	129	6	naïve	naïve	ADJ
cana-3975	129	7	bayes	bayes	NOUN
cana-3975	129	8	performs	perform	VERB
cana-3975	129	9	exceptionally	exceptionally	ADV
cana-3975	129	10	well	well	ADV
cana-3975	129	11	,	,	PUNCT
cana-3975	129	12	capturing	capture	VERB
cana-3975	129	13	intricate	intricate	ADJ
cana-3975	129	14	patterns	pattern	NOUN
cana-3975	129	15	in	in	ADP
cana-3975	129	16	water	water	NOUN
cana-3975	129	17	quality	quality	NOUN
cana-3975	129	18	data	datum	NOUN
cana-3975	129	19	.	.	PUNCT
cana-3975	130	1	the	the	DET
cana-3975	130	2	integration	integration	NOUN
cana-3975	130	3	of	of	ADP
cana-3975	130	4	machine	machine	NOUN
cana-3975	130	5	learning	learning	NOUN
cana-3975	130	6	(	(	PUNCT
cana-3975	130	7	ml	ml	NOUN
cana-3975	130	8	)	)	PUNCT
cana-3975	130	9	techniques	technique	NOUN
cana-3975	130	10	with	with	ADP
cana-3975	130	11	water	water	NOUN
cana-3975	130	12	quality	quality	NOUN
cana-3975	130	13	management	management	NOUN
cana-3975	130	14	will	will	AUX
cana-3975	130	15	open	open	VERB
cana-3975	130	16	the	the	DET
cana-3975	130	17	door	door	NOUN
cana-3975	130	18	to	to	PART
cana-3975	130	19	improved	improved	VERB
cana-3975	130	20	real	real	ADJ
cana-3975	130	21	-	-	PUNCT
cana-3975	130	22	time	time	NOUN
cana-3975	130	23	monitoring	monitoring	NOUN
cana-3975	130	24	,	,	PUNCT
cana-3975	130	25	predictive	predictive	ADJ
cana-3975	130	26	analytics	analytic	NOUN
cana-3975	130	27	,	,	PUNCT
cana-3975	130	28	and	and	CCONJ
cana-3975	130	29	sustainable	sustainable	ADJ
cana-3975	130	30	resource	resource	NOUN
cana-3975	130	31	utilisation	utilisation	NOUN
cana-3975	130	32	,	,	PUNCT
cana-3975	130	33	especially	especially	ADV
cana-3975	130	34	in	in	ADP
cana-3975	130	35	understudied	understudied	ADJ
cana-3975	130	36	areas	area	NOUN
cana-3975	130	37	of	of	ADP
cana-3975	130	38	water	water	NOUN
cana-3975	130	39	utilisation	utilisation	NOUN
cana-3975	130	40	for	for	ADP
cana-3975	130	41	industrial	industrial	ADJ
cana-3975	130	42	and	and	CCONJ
cana-3975	130	43	individual	individual	ADJ
cana-3975	130	44	consumption	consumption	NOUN
cana-3975	130	45	,	,	PUNCT
cana-3975	130	46	as	as	SCONJ
cana-3975	130	47	computing	compute	VERB
cana-3975	130	48	power	power	NOUN
cana-3975	130	49	and	and	CCONJ
cana-3975	130	50	data	datum	NOUN
cana-3975	130	51	availability	availability	NOUN
cana-3975	130	52	continue	continue	VERB
cana-3975	130	53	to	to	PART
cana-3975	130	54	increase	increase	VERB
cana-3975	130	55	.	.	PUNCT
cana-3975	131	1	references	reference	NOUN
cana-3975	131	2	[	[	X
cana-3975	131	3	1	1	NUM
cana-3975	131	4	]	]	PUNCT
cana-3975	131	5	.	.	PUNCT
cana-3975	132	1	horton	horton	PROPN
cana-3975	132	2	,	,	PUNCT
cana-3975	132	3	r.	r.	PROPN
cana-3975	132	4	k.	k.	PROPN
cana-3975	132	5	(	(	PUNCT
cana-3975	132	6	1965	1965	NUM
cana-3975	132	7	)	)	PUNCT
cana-3975	132	8	.	.	PUNCT
cana-3975	133	1	an	an	DET
cana-3975	133	2	index	index	NOUN
cana-3975	133	3	number	number	NOUN
cana-3975	133	4	system	system	NOUN
cana-3975	133	5	for	for	ADP
cana-3975	133	6	rating	rating	NOUN
cana-3975	133	7	water	water	NOUN
cana-3975	133	8	quality	quality	NOUN
cana-3975	133	9	.	.	PUNCT
cana-3975	134	1	journal	journal	PROPN
cana-3975	134	2	of	of	ADP
cana-3975	134	3	water	water	NOUN
cana-3975	134	4	pollution	pollution	PROPN
cana-3975	134	5	control	control	PROPN
cana-3975	134	6	federation	federation	PROPN
cana-3975	134	7	,	,	PUNCT
cana-3975	134	8	37(3	37(3	NUM
cana-3975	134	9	)	)	PUNCT
cana-3975	134	10	,	,	PUNCT
cana-3975	134	11	300–306	300–306	NUM
cana-3975	134	12	.	.	PUNCT
cana-3975	135	1	[	[	X
cana-3975	135	2	2	2	NUM
cana-3975	135	3	]	]	PUNCT
cana-3975	135	4	.	.	PUNCT
cana-3975	136	1	brown	brown	PROPN
cana-3975	136	2	,	,	PUNCT
cana-3975	136	3	r.	r.	PROPN
cana-3975	136	4	m.	m.	PROPN
cana-3975	136	5	,	,	PUNCT
cana-3975	136	6	mcclelland	mcclelland	PROPN
cana-3975	136	7	,	,	PUNCT
cana-3975	136	8	n.	n.	PROPN
cana-3975	136	9	i.	i.	PROPN
cana-3975	136	10	,	,	PUNCT
cana-3975	136	11	deininger	deininger	PROPN
cana-3975	136	12	,	,	PUNCT
cana-3975	136	13	r.	r.	PROPN
cana-3975	136	14	a.	a.	PROPN
cana-3975	136	15	,	,	PUNCT
cana-3975	136	16	&	&	CCONJ
cana-3975	136	17	tozer	tozer	PROPN
cana-3975	136	18	,	,	PUNCT
cana-3975	136	19	r.	r.	PROPN
cana-3975	136	20	g.	g.	PROPN
cana-3975	136	21	(	(	PUNCT
cana-3975	136	22	1970	1970	NUM
cana-3975	136	23	)	)	PUNCT
cana-3975	136	24	.	.	PUNCT
cana-3975	137	1	a	a	DET
cana-3975	137	2	water	water	NOUN
cana-3975	137	3	quality	quality	NOUN
cana-3975	137	4	index	index	NOUN
cana-3975	137	5	—	—	PUNCT
cana-3975	137	6	do	do	AUX
cana-3975	137	7	we	we	PRON
cana-3975	137	8	dare	dare	VERB
cana-3975	137	9	?	?	PUNCT
cana-3975	138	1	water	water	NOUN
cana-3975	138	2	and	and	CCONJ
cana-3975	138	3	sewage	sewage	NOUN
cana-3975	138	4	works	work	NOUN
cana-3975	138	5	,	,	PUNCT
cana-3975	138	6	117(10	117(10	NUM
cana-3975	138	7	)	)	PUNCT
cana-3975	138	8	,	,	PUNCT
cana-3975	138	9	339–343	339–343	NUM
cana-3975	138	10	.	.	PUNCT
cana-3975	139	1	0.78854	0.78854	NUM
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cana-3975	139	5	0.734011	0.734011	NUM
cana-3975	139	6	0.728466	0.728466	NUM
cana-3975	139	7	0.69	0.69	NUM
cana-3975	139	8	0.7	0.7	NUM
cana-3975	139	9	0.71	0.71	NUM
cana-3975	139	10	0.72	0.72	NUM
cana-3975	139	11	0.73	0.73	NUM
cana-3975	139	12	0.74	0.74	NUM
cana-3975	139	13	0.75	0.75	NUM
cana-3975	139	14	0.76	0.76	NUM
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cana-3975	139	16	0.78	0.78	NUM
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cana-3975	140	1	kneighbours	kneighbours	PROPN
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cana-3975	140	3	tree	tree	NOUN
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cana-3975	140	8	score	score	NOUN
cana-3975	140	9	communications	communication	NOUN
cana-3975	140	10	on	on	ADP
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cana-3975	140	13	analysis	analysis	NOUN
cana-3975	140	14	issn	issn	NOUN
cana-3975	140	15	:	:	PUNCT
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cana-3975	140	20	32	32	NUM
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cana-3975	141	1	9s	9s	NUM
cana-3975	141	2	(	(	PUNCT
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cana-3975	141	4	)	)	PUNCT
cana-3975	141	5	700	700	NUM
cana-3975	141	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3975	142	1	[	[	X
cana-3975	142	2	3	3	NUM
cana-3975	142	3	]	]	PUNCT
cana-3975	142	4	.	.	PUNCT
cana-3975	143	1	united	united	PROPN
cana-3975	143	2	nations	nations	PROPN
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cana-3975	143	7	]	]	PUNCT
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cana-3975	144	1	[	[	X
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cana-3975	144	4	]	]	PUNCT
cana-3975	144	5	.	.	PUNCT
cana-3975	145	1	ambient	ambient	ADJ
cana-3975	145	2	water	water	NOUN
cana-3975	145	3	quality	quality	NOUN
cana-3975	145	4	indicators	indicator	NOUN
cana-3975	145	5	for	for	ADP
cana-3975	145	6	sustainable	sustainable	ADJ
cana-3975	145	7	development	development	NOUN
cana-3975	145	8	goal	goal	NOUN
cana-3975	146	1	[	[	X
cana-3975	146	2	sdg	sdg	X
cana-3975	146	3	]	]	X
cana-3975	146	4	6.3.2	6.3.2	X
cana-3975	146	5	.	.	PUNCT
cana-3975	147	1	retrieved	retrieve	VERB
cana-3975	147	2	from	from	ADP
cana-3975	147	3	https://www.unep.org/exploretopics/water/what-we-do/world-water-quality-alliance-wwqa-partnership-effort/faqs-water	https://www.unep.org/exploretopics/water/what-we-do/world-water-quality-alliance-wwqa-partnership-effort/faqs-water	NOUN
cana-3975	147	4	[	[	X
cana-3975	147	5	4	4	NUM
cana-3975	147	6	]	]	PUNCT
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cana-3975	148	1	parsaie	parsaie	PROPN
cana-3975	148	2	,	,	PUNCT
cana-3975	148	3	a.	a.	NOUN
cana-3975	148	4	,	,	PUNCT
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cana-3975	150	12	.	.	PUNCT
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cana-3975	152	3	]	]	PUNCT
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cana-3975	155	3	]	]	PUNCT
cana-3975	155	4	.	.	PUNCT
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cana-3975	157	3	]	]	PUNCT
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cana-3975	159	10	]	]	PUNCT
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cana-3975	160	1	[	[	X
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cana-3975	160	3	]	]	PUNCT
cana-3975	160	4	.	.	PUNCT
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cana-3975	161	2	,	,	PUNCT
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cana-3975	162	3	]	]	PUNCT
cana-3975	162	4	.	.	PUNCT
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cana-3975	169	14	.	.	PUNCT
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cana-3975	200	6	washington	washington	PROPN
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cana-3975	200	12	university	university	NOUN
cana-3975	200	13	of	of	ADP
cana-3975	200	14	washington	washington	PROPN
cana-3975	200	15	,	,	PUNCT
cana-3975	200	16	“	"	PUNCT
cana-3975	200	17	xgboost	xgboost	ADV
cana-3975	200	18	:	:	PUNCT
cana-3975	200	19	a	a	DET
cana-3975	200	20	scalable	scalable	ADJ
cana-3975	200	21	tree	tree	NOUN
cana-3975	200	22	boosting	boost	VERB
cana-3975	200	23	system	system	NOUN
cana-3975	200	24	,	,	PUNCT
cana-3975	200	25	”	"	PUNCT
cana-3975	200	26	terra	terra	NOUN
cana-3975	200	27	swarm	swarm	NOUN
cana-3975	200	28	research	research	NOUN
cana-3975	200	29	center	center	NOUN
cana-3975	200	30	,	,	PUNCT
cana-3975	200	31	2016	2016	NUM
cana-3975	200	32	,	,	PUNCT
cana-3975	200	33	[	[	X
cana-3975	200	34	online	online	X
cana-3975	200	35	]	]	X
cana-3975	200	36	.	.	PUNCT
cana-3975	201	1	available	available	ADJ
cana-3975	201	2	:	:	PUNCT
cana-3975	202	1	https://www.kdd.org/kdd2016/papers/files/rfp0697-chenaemb.pdf	https://www.kdd.org/kdd2016/papers/files/rfp0697-chenaemb.pdf	PROPN
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cana-3975	203	2	15	15	NUM
cana-3975	203	3	]	]	PUNCT
cana-3975	203	4	.	.	PUNCT
cana-3975	204	1	g.	g.	PROPN
cana-3975	204	2	guo	guo	PROPN
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cana-3975	204	25	,	,	PUNCT
cana-3975	204	26	”	"	PUNCT
cana-3975	204	27	in	in	ADP
cana-3975	204	28	lecture	lecture	NOUN
cana-3975	204	29	notes	note	NOUN
cana-3975	204	30	in	in	ADP
cana-3975	204	31	computer	computer	NOUN
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cana-3975	204	33	,	,	PUNCT
cana-3975	204	34	2003	2003	NUM
cana-3975	204	35	,	,	PUNCT
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cana-3975	205	2	.	.	PUNCT
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cana-3975	206	6	-	-	PUNCT
cana-3975	206	7	540	540	NUM
cana-3975	206	8	-	-	PUNCT
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cana-3975	207	3	]	]	PUNCT
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cana-3975	207	5	l.	l.	PROPN
cana-3975	207	6	rokach	rokach	PROPN
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cana-3975	207	8	o.	o.	PROPN
cana-3975	207	9	maimon	maimon	PROPN
cana-3975	207	10	,	,	PUNCT
cana-3975	207	11	“	"	PUNCT
cana-3975	207	12	decision	decision	NOUN
cana-3975	207	13	trees	tree	NOUN
cana-3975	207	14	,	,	PUNCT
cana-3975	207	15	”	"	PUNCT
cana-3975	207	16	in	in	ADP
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cana-3975	207	18	ebooks	ebook	NOUN
cana-3975	207	19	,	,	PUNCT
cana-3975	207	20	2006	2006	NUM
cana-3975	207	21	,	,	PUNCT
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cana-3975	207	23	.	.	PUNCT
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cana-3975	208	2	.	.	PUNCT
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cana-3975	209	2	:	:	PUNCT
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cana-3975	209	4	-	-	PUNCT
cana-3975	209	5	387	387	NUM
cana-3975	209	6	-	-	PUNCT
cana-3975	209	7	25465	25465	NUM
cana-3975	209	8	-	-	PUNCT
cana-3975	209	9	x_9	x_9	NOUN
cana-3975	209	10	.	.	PUNCT
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cana-3975	210	2	17	17	NUM
cana-3975	210	3	]	]	PUNCT
cana-3975	210	4	.	.	PUNCT
cana-3975	211	1	f.	f.	PROPN
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cana-3975	211	7	:	:	PUNCT
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cana-3975	213	1	https://www.unep.org/explore-topics/water/what-we-do/world-water-quality-alliance-wwqa-partnership-effort/faqs-water	https://www.unep.org/explore-topics/water/what-we-do/world-water-quality-alliance-wwqa-partnership-effort/faqs-water	PROPN
cana-3975	213	2	https://www.unep.org/explore-topics/water/what-we-do/world-water-quality-alliance-wwqa-partnership-effort/faqs-water	https://www.unep.org/explore-topics/water/what-we-do/world-water-quality-alliance-wwqa-partnership-effort/faqs-water	PROPN
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cana-3975	214	4	)	)	PUNCT
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cana-3975	216	5	:	:	PUNCT
cana-3975	216	6	expert	expert	NOUN
cana-3975	216	7	techniques	technique	NOUN
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cana-3975	219	8	.	.	PUNCT
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cana-3975	220	9	.	.	PUNCT
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cana-3975	221	6	.	.	PUNCT
cana-3975	222	1	[	[	X
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cana-3975	222	3	]	]	PUNCT
cana-3975	222	4	.	.	PUNCT
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cana-3975	223	6	]	]	PUNCT
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cana-3975	224	1	[	[	X
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cana-3975	225	7	[	[	X
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cana-3975	226	2	from	from	ADP
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cana-3975	228	1	(	(	PUNCT
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cana-3975	228	3	)	)	PUNCT
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cana-3975	232	1	(	(	PUNCT
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cana-3975	232	3	)	)	PUNCT
cana-3975	232	4	.	.	PUNCT
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