id	sid	tid	token	lemma	pos
cana-1311	1	1	communications	communication	NOUN
cana-1311	1	2	on	on	ADP
cana-1311	1	3	applied	apply	VERB
cana-1311	1	4	nonlinear	nonlinear	ADJ
cana-1311	1	5	analysis	analysis	NOUN
cana-1311	1	6	issn	issn	NOUN
cana-1311	1	7	:	:	PUNCT
cana-1311	1	8	1074	1074	NUM
cana-1311	1	9	-	-	PUNCT
cana-1311	1	10	133x	133x	NUM
cana-1311	1	11	vol	vol	NOUN
cana-1311	1	12	31	31	NUM
cana-1311	1	13	no	no	NOUN
cana-1311	1	14	.	.	PUNCT
cana-1311	2	1	7s	7	NOUN
cana-1311	2	2	(	(	PUNCT
cana-1311	2	3	2024	2024	NUM
cana-1311	2	4	)	)	PUNCT
cana-1311	2	5	328	328	NUM
cana-1311	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	2	7	prediction	prediction	NOUN
cana-1311	2	8	of	of	ADP
cana-1311	2	9	air	air	NOUN
cana-1311	2	10	quality	quality	NOUN
cana-1311	2	11	index	index	NOUN
cana-1311	2	12	and	and	CCONJ
cana-1311	2	13	air	air	NOUN
cana-1311	2	14	quality	quality	NOUN
cana-1311	2	15	levels	level	NOUN
cana-1311	2	16	in	in	ADP
cana-1311	2	17	guwahatiindia	guwahatiindia	NOUN
cana-1311	2	18	using	use	VERB
cana-1311	2	19	machine	machine	NOUN
cana-1311	2	20	learning	learning	NOUN
cana-1311	2	21	:	:	PUNCT
cana-1311	2	22	a	a	DET
cana-1311	2	23	comparative	comparative	ADJ
cana-1311	2	24	study	study	NOUN
cana-1311	2	25	1	1	NUM
cana-1311	2	26	joshua	joshua	PROPN
cana-1311	2	27	remlalliana	remlalliana	PROPN
cana-1311	2	28	,	,	PUNCT
cana-1311	2	29	2	2	NUM
cana-1311	2	30	*	*	PUNCT
cana-1311	2	31	parthiban	parthiban	NOUN
cana-1311	2	32	s	s	VERB
cana-1311	2	33	1	1	NUM
cana-1311	2	34	,	,	PUNCT
cana-1311	2	35	2	2	NUM
cana-1311	2	36	*	*	NOUN
cana-1311	2	37	department	department	NOUN
cana-1311	2	38	of	of	ADP
cana-1311	2	39	mathematics	mathematic	NOUN
cana-1311	2	40	and	and	CCONJ
cana-1311	2	41	statistics	statistic	NOUN
cana-1311	2	42	,	,	PUNCT
cana-1311	2	43	school	school	NOUN
cana-1311	2	44	of	of	ADP
cana-1311	2	45	applied	apply	VERB
cana-1311	2	46	sciences	science	NOUN
cana-1311	2	47	and	and	CCONJ
cana-1311	2	48	humanities	humanity	NOUN
cana-1311	2	49	,	,	PUNCT
cana-1311	2	50	vignan	vignan	NOUN
cana-1311	2	51	’s	’s	PART
cana-1311	2	52	foundation	foundation	PROPN
cana-1311	2	53	for	for	ADP
cana-1311	2	54	science	science	NOUN
cana-1311	2	55	,	,	PUNCT
cana-1311	2	56	technology	technology	NOUN
cana-1311	2	57	and	and	CCONJ
cana-1311	2	58	research	research	NOUN
cana-1311	2	59	,	,	PUNCT
cana-1311	2	60	vadlamudi	vadlamudi	NOUN
cana-1311	2	61	,	,	PUNCT
cana-1311	2	62	guntur	guntur	PROPN
cana-1311	2	63	district	district	PROPN
cana-1311	2	64	,	,	PUNCT
cana-1311	2	65	andhra	andhra	PROPN
cana-1311	2	66	pradesh	pradesh	PROPN
cana-1311	2	67	,	,	PUNCT
cana-1311	2	68	india	india	PROPN
cana-1311	2	69	,	,	PUNCT
cana-1311	2	70	pin	pin	NOUN
cana-1311	2	71	:	:	PUNCT
cana-1311	2	72	522	522	NUM
cana-1311	2	73	213	213	NUM
cana-1311	2	74	.	.	PUNCT
cana-1311	3	1	e	e	X
cana-1311	3	2	-	-	NOUN
cana-1311	3	3	mail	mail	NOUN
cana-1311	3	4	:	:	PUNCT
cana-1311	3	5	1	1	NUM
cana-1311	3	6	zosuaremlalliana@gmail.com	zosuaremlalliana@gmail.com	NUM
cana-1311	3	7	;	;	PUNCT
cana-1311	3	8	2	2	NUM
cana-1311	3	9	*	*	SYM
cana-1311	3	10	selvam.parthiban1979@gmail.com	selvam.parthiban1979@gmail.com	NUM
cana-1311	3	11	article	article	NOUN
cana-1311	3	12	history	history	NOUN
cana-1311	3	13	:	:	PUNCT
cana-1311	3	14	received	receive	VERB
cana-1311	3	15	:	:	PUNCT
cana-1311	3	16	01	01	NUM
cana-1311	3	17	-	-	PUNCT
cana-1311	3	18	06	06	NUM
cana-1311	3	19	-	-	PUNCT
cana-1311	3	20	2024	2024	NUM
cana-1311	3	21	revised	revise	VERB
cana-1311	3	22	:	:	PUNCT
cana-1311	3	23	03	03	NUM
cana-1311	3	24	-	-	PUNCT
cana-1311	3	25	07	07	NUM
cana-1311	3	26	-	-	PUNCT
cana-1311	3	27	2024	2024	NUM
cana-1311	3	28	accepted	accept	VERB
cana-1311	3	29	:	:	PUNCT
cana-1311	3	30	29	29	NUM
cana-1311	3	31	-	-	SYM
cana-1311	3	32	07	07	NUM
cana-1311	3	33	-	-	PUNCT
cana-1311	3	34	2024	2024	NUM
cana-1311	3	35	abstract	abstract	NOUN
cana-1311	3	36	:	:	PUNCT
cana-1311	3	37	this	this	DET
cana-1311	3	38	study	study	NOUN
cana-1311	3	39	provides	provide	VERB
cana-1311	3	40	a	a	DET
cana-1311	3	41	deep	deep	ADJ
cana-1311	3	42	insight	insight	NOUN
cana-1311	3	43	into	into	ADP
cana-1311	3	44	the	the	DET
cana-1311	3	45	factors	factor	NOUN
cana-1311	3	46	contributing	contribute	VERB
cana-1311	3	47	to	to	ADP
cana-1311	3	48	air	air	NOUN
cana-1311	3	49	pollution	pollution	NOUN
cana-1311	3	50	in	in	ADP
cana-1311	3	51	guwahati	guwahati	PROPN
cana-1311	3	52	,	,	PUNCT
cana-1311	3	53	india	india	PROPN
cana-1311	3	54	.	.	PUNCT
cana-1311	4	1	it	it	PRON
cana-1311	4	2	suggests	suggest	VERB
cana-1311	4	3	measures	measure	NOUN
cana-1311	4	4	for	for	SCONJ
cana-1311	4	5	policymakers	policymaker	NOUN
cana-1311	4	6	and	and	CCONJ
cana-1311	4	7	urban	urban	ADJ
cana-1311	4	8	planners	planner	NOUN
cana-1311	4	9	to	to	PART
cana-1311	4	10	develop	develop	VERB
cana-1311	4	11	air	air	NOUN
cana-1311	4	12	quality	quality	NOUN
cana-1311	4	13	management	management	NOUN
cana-1311	4	14	plans	plan	NOUN
cana-1311	4	15	to	to	PART
cana-1311	4	16	control	control	VERB
cana-1311	4	17	air	air	NOUN
cana-1311	4	18	pollution	pollution	NOUN
cana-1311	4	19	,	,	PUNCT
cana-1311	4	20	not	not	PART
cana-1311	4	21	only	only	ADV
cana-1311	4	22	for	for	ADP
cana-1311	4	23	the	the	DET
cana-1311	4	24	benefit	benefit	NOUN
cana-1311	4	25	of	of	ADP
cana-1311	4	26	human	human	ADJ
cana-1311	4	27	health	health	NOUN
cana-1311	4	28	but	but	CCONJ
cana-1311	4	29	also	also	ADV
cana-1311	4	30	for	for	ADP
cana-1311	4	31	all	all	DET
cana-1311	4	32	living	live	VERB
cana-1311	4	33	beings	being	NOUN
cana-1311	4	34	and	and	CCONJ
cana-1311	4	35	the	the	DET
cana-1311	4	36	environment	environment	NOUN
cana-1311	4	37	.	.	PUNCT
cana-1311	5	1	the	the	DET
cana-1311	5	2	deteriorating	deteriorate	VERB
cana-1311	5	3	air	air	NOUN
cana-1311	5	4	quality	quality	NOUN
cana-1311	5	5	in	in	ADP
cana-1311	5	6	urban	urban	ADJ
cana-1311	5	7	areas	area	NOUN
cana-1311	5	8	,	,	PUNCT
cana-1311	5	9	particularly	particularly	ADV
cana-1311	5	10	in	in	ADP
cana-1311	5	11	rapid	rapid	ADJ
cana-1311	5	12	growing	grow	VERB
cana-1311	5	13	city	city	NOUN
cana-1311	5	14	possesses	possess	VERB
cana-1311	5	15	notable	notable	ADJ
cana-1311	5	16	health	health	NOUN
cana-1311	5	17	risks	risk	NOUN
cana-1311	5	18	and	and	CCONJ
cana-1311	5	19	environmental	environmental	ADJ
cana-1311	5	20	challenges	challenge	NOUN
cana-1311	5	21	.	.	PUNCT
cana-1311	6	1	the	the	DET
cana-1311	6	2	main	main	ADJ
cana-1311	6	3	reason	reason	NOUN
cana-1311	6	4	for	for	ADP
cana-1311	6	5	examining	examine	VERB
cana-1311	6	6	the	the	DET
cana-1311	6	7	aqi	aqi	NOUN
cana-1311	6	8	(	(	PUNCT
cana-1311	6	9	air	air	NOUN
cana-1311	6	10	quality	quality	PROPN
cana-1311	6	11	index	index	NOUN
cana-1311	6	12	)	)	PUNCT
cana-1311	6	13	is	be	AUX
cana-1311	6	14	the	the	DET
cana-1311	6	15	profound	profound	ADJ
cana-1311	6	16	effects	effect	NOUN
cana-1311	6	17	on	on	ADP
cana-1311	6	18	health	health	NOUN
cana-1311	6	19	and	and	CCONJ
cana-1311	6	20	environmental	environmental	ADJ
cana-1311	6	21	well	well	ADV
cana-1311	6	22	-	-	PUNCT
cana-1311	6	23	being	being	NOUN
cana-1311	6	24	.	.	PUNCT
cana-1311	7	1	this	this	DET
cana-1311	7	2	research	research	NOUN
cana-1311	7	3	has	have	AUX
cana-1311	7	4	analysed	analyse	VERB
cana-1311	7	5	the	the	DET
cana-1311	7	6	evaluation	evaluation	NOUN
cana-1311	7	7	and	and	CCONJ
cana-1311	7	8	prediction	prediction	NOUN
cana-1311	7	9	of	of	ADP
cana-1311	7	10	air	air	NOUN
cana-1311	7	11	quality	quality	NOUN
cana-1311	7	12	based	base	VERB
cana-1311	7	13	on	on	ADP
cana-1311	7	14	the	the	DET
cana-1311	7	15	dataset	dataset	NOUN
cana-1311	7	16	obtained	obtain	VERB
cana-1311	7	17	from	from	ADP
cana-1311	7	18	kaggle	kaggle	PROPN
cana-1311	7	19	for	for	ADP
cana-1311	7	20	the	the	DET
cana-1311	7	21	period	period	NOUN
cana-1311	7	22	of	of	ADP
cana-1311	7	23	2015	2015	NUM
cana-1311	7	24	-	-	SYM
cana-1311	7	25	2020	2020	NUM
cana-1311	7	26	,	,	PUNCT
cana-1311	7	27	which	which	PRON
cana-1311	7	28	includes	include	VERB
cana-1311	7	29	data	datum	NOUN
cana-1311	7	30	on	on	ADP
cana-1311	7	31	ten	ten	NUM
cana-1311	7	32	pollutants	pollutant	NOUN
cana-1311	7	33	:	:	PUNCT
cana-1311	7	34	pm2.5	pm2.5	NUM
cana-1311	7	35	,	,	PUNCT
cana-1311	7	36	pm10	pm10	PROPN
cana-1311	7	37	,	,	PUNCT
cana-1311	7	38	no	no	INTJ
cana-1311	7	39	,	,	PUNCT
cana-1311	7	40	no2	no2	NOUN
cana-1311	7	41	,	,	PUNCT
cana-1311	7	42	nox	nox	NOUN
cana-1311	7	43	,	,	PUNCT
cana-1311	7	44	nh3	nh3	NOUN
cana-1311	7	45	,	,	PUNCT
cana-1311	7	46	co	co	NOUN
cana-1311	7	47	,	,	PUNCT
cana-1311	7	48	so2	so2	PROPN
cana-1311	7	49	,	,	PUNCT
cana-1311	7	50	o3	o3	PROPN
cana-1311	7	51	and	and	CCONJ
cana-1311	7	52	benzene	benzene	NOUN
cana-1311	7	53	.	.	PUNCT
cana-1311	8	1	three	three	NUM
cana-1311	8	2	models	model	NOUN
cana-1311	8	3	from	from	ADP
cana-1311	8	4	ml	ml	PROPN
cana-1311	8	5	(	(	PUNCT
cana-1311	8	6	machine	machine	NOUN
cana-1311	8	7	learning	learning	NOUN
cana-1311	8	8	)	)	PUNCT
cana-1311	8	9	,	,	PUNCT
cana-1311	8	10	viz	viz	PROPN
cana-1311	8	11	.	.	PUNCT
cana-1311	8	12	dt	dt	PUNCT
cana-1311	9	1	(	(	PUNCT
cana-1311	9	2	decision	decision	NOUN
cana-1311	9	3	tree	tree	NOUN
cana-1311	9	4	)	)	PUNCT
cana-1311	9	5	,	,	PUNCT
cana-1311	9	6	rf	rf	ADJ
cana-1311	9	7	(	(	PUNCT
cana-1311	9	8	random	random	ADJ
cana-1311	9	9	forest	forest	NOUN
cana-1311	9	10	)	)	PUNCT
cana-1311	9	11	,	,	PUNCT
cana-1311	9	12	knn	knn	PROPN
cana-1311	9	13	(	(	PUNCT
cana-1311	9	14	k	k	X
cana-1311	9	15	-	-	PUNCT
cana-1311	9	16	nearest	near	ADJ
cana-1311	9	17	neighbors	neighbor	NOUN
cana-1311	9	18	)	)	PUNCT
cana-1311	9	19	have	have	AUX
cana-1311	9	20	been	be	AUX
cana-1311	9	21	used	use	VERB
cana-1311	9	22	for	for	ADP
cana-1311	9	23	prediction	prediction	NOUN
cana-1311	9	24	and	and	CCONJ
cana-1311	9	25	forecasting	forecast	VERB
cana-1311	9	26	the	the	DET
cana-1311	9	27	aqi	aqi	NOUN
cana-1311	9	28	and	and	CCONJ
cana-1311	9	29	aql	aql	PROPN
cana-1311	9	30	(	(	PUNCT
cana-1311	9	31	air	air	NOUN
cana-1311	9	32	quality	quality	NOUN
cana-1311	9	33	index	index	NOUN
cana-1311	9	34	levels	level	NOUN
cana-1311	9	35	)	)	PUNCT
cana-1311	9	36	.	.	PUNCT
cana-1311	10	1	finally	finally	ADV
cana-1311	10	2	,	,	PUNCT
cana-1311	10	3	it	it	PRON
cana-1311	10	4	has	have	AUX
cana-1311	10	5	been	be	AUX
cana-1311	10	6	observed	observe	VERB
cana-1311	10	7	that	that	SCONJ
cana-1311	10	8	the	the	DET
cana-1311	10	9	rf	rf	NOUN
cana-1311	10	10	classification	classification	NOUN
cana-1311	10	11	showed	show	VERB
cana-1311	10	12	the	the	DET
cana-1311	10	13	highest	high	ADJ
cana-1311	10	14	accuracy	accuracy	NOUN
cana-1311	10	15	in	in	ADP
cana-1311	10	16	forecasting	forecast	VERB
cana-1311	10	17	the	the	DET
cana-1311	10	18	aql	aql	NOUN
cana-1311	10	19	and	and	CCONJ
cana-1311	10	20	factors	factor	NOUN
cana-1311	10	21	such	such	ADJ
cana-1311	10	22	as	as	ADP
cana-1311	10	23	pm10	pm10	PROPN
cana-1311	10	24	,	,	PUNCT
cana-1311	10	25	pm2.5	pm2.5	PROPN
cana-1311	10	26	and	and	CCONJ
cana-1311	10	27	nh3	nh3	PROPN
cana-1311	10	28	have	have	AUX
cana-1311	10	29	been	be	AUX
cana-1311	10	30	identified	identify	VERB
cana-1311	10	31	as	as	ADP
cana-1311	10	32	the	the	DET
cana-1311	10	33	primary	primary	ADJ
cana-1311	10	34	factors	factor	NOUN
cana-1311	10	35	in	in	ADP
cana-1311	10	36	determining	determine	VERB
cana-1311	10	37	aqi	aqi	ADJ
cana-1311	10	38	rating	rating	NOUN
cana-1311	10	39	in	in	ADP
cana-1311	10	40	guwahati	guwahati	PROPN
cana-1311	10	41	.	.	PUNCT
cana-1311	11	1	keywords	keyword	NOUN
cana-1311	11	2	:	:	PUNCT
cana-1311	11	3	air	air	NOUN
cana-1311	11	4	quality	quality	PROPN
cana-1311	11	5	index	index	NOUN
cana-1311	11	6	,	,	PUNCT
cana-1311	11	7	machine	machine	NOUN
cana-1311	11	8	learning	learning	NOUN
cana-1311	11	9	,	,	PUNCT
cana-1311	11	10	classification	classification	NOUN
cana-1311	11	11	,	,	PUNCT
cana-1311	11	12	prediction	prediction	NOUN
cana-1311	11	13	,	,	PUNCT
cana-1311	11	14	forecasting	forecasting	NOUN
cana-1311	11	15	.	.	PUNCT
cana-1311	12	1	ams	am	NOUN
cana-1311	12	2	classification	classification	NOUN
cana-1311	12	3	:	:	PUNCT
cana-1311	12	4	62g08	62g08	NUM
cana-1311	12	5	,	,	PUNCT
cana-1311	12	6	62j12	62j12	NUM
cana-1311	12	7	,	,	PUNCT
cana-1311	12	8	62p12	62p12	NUM
cana-1311	12	9	,	,	PUNCT
cana-1311	12	10	62m10	62m10	NUM
cana-1311	12	11	,	,	PUNCT
cana-1311	12	12	91b76	91b76	NUM
cana-1311	12	13	1	1	NUM
cana-1311	12	14	.	.	PUNCT
cana-1311	13	1	introduction	introduction	NOUN
cana-1311	13	2	clean	clean	ADJ
cana-1311	13	3	air	air	NOUN
cana-1311	13	4	is	be	AUX
cana-1311	13	5	crucial	crucial	ADJ
cana-1311	13	6	for	for	ADP
cana-1311	13	7	sustaining	sustain	VERB
cana-1311	13	8	life	life	NOUN
cana-1311	13	9	,	,	PUNCT
cana-1311	13	10	protecting	protect	VERB
cana-1311	13	11	human	human	ADJ
cana-1311	13	12	health	health	NOUN
cana-1311	13	13	and	and	CCONJ
cana-1311	13	14	preserving	preserve	VERB
cana-1311	13	15	environmental	environmental	ADJ
cana-1311	13	16	integrity	integrity	NOUN
cana-1311	13	17	[	[	X
cana-1311	13	18	3	3	NUM
cana-1311	13	19	]	]	PUNCT
cana-1311	13	20	.	.	PUNCT
cana-1311	14	1	air	air	NOUN
cana-1311	14	2	pollution	pollution	NOUN
cana-1311	14	3	can	can	AUX
cana-1311	14	4	result	result	VERB
cana-1311	14	5	in	in	ADP
cana-1311	14	6	some	some	DET
cana-1311	14	7	serious	serious	ADJ
cana-1311	14	8	diseases	disease	NOUN
cana-1311	14	9	to	to	ADP
cana-1311	14	10	human	human	NOUN
cana-1311	14	11	including	include	VERB
cana-1311	14	12	bronchitis	bronchitis	NOUN
cana-1311	14	13	,	,	PUNCT
cana-1311	14	14	pneumonia	pneumonia	NOUN
cana-1311	14	15	and	and	CCONJ
cana-1311	14	16	various	various	ADJ
cana-1311	14	17	respiratory	respiratory	ADJ
cana-1311	14	18	ailments	ailment	NOUN
cana-1311	14	19	[	[	X
cana-1311	14	20	29	29	NUM
cana-1311	14	21	]	]	PUNCT
cana-1311	14	22	.	.	PUNCT
cana-1311	15	1	several	several	ADJ
cana-1311	15	2	critical	critical	ADJ
cana-1311	15	3	factors	factor	NOUN
cana-1311	15	4	influence	influence	VERB
cana-1311	15	5	the	the	DET
cana-1311	15	6	released	release	VERB
cana-1311	15	7	of	of	ADP
cana-1311	15	8	air	air	NOUN
cana-1311	15	9	contaminants	contaminant	NOUN
cana-1311	15	10	in	in	ADP
cana-1311	15	11	urban	urban	ADJ
cana-1311	15	12	regions	region	NOUN
cana-1311	15	13	with	with	ADP
cana-1311	15	14	respect	respect	NOUN
cana-1311	15	15	to	to	ADP
cana-1311	15	16	particulate	particulate	NOUN
cana-1311	15	17	matter	matter	NOUN
cana-1311	15	18	,	,	PUNCT
cana-1311	15	19	different	different	ADJ
cana-1311	15	20	gaseous	gaseous	ADJ
cana-1311	15	21	emissions	emission	NOUN
cana-1311	15	22	and	and	CCONJ
cana-1311	15	23	sizes	size	NOUN
cana-1311	15	24	and	and	CCONJ
cana-1311	15	25	several	several	ADJ
cana-1311	15	26	forms	form	NOUN
cana-1311	15	27	of	of	ADP
cana-1311	15	28	meteorological	meteorological	ADJ
cana-1311	15	29	conditions	condition	NOUN
cana-1311	15	30	.	.	PUNCT
cana-1311	16	1	this	this	PRON
cana-1311	16	2	indicates	indicate	VERB
cana-1311	16	3	that	that	SCONJ
cana-1311	16	4	organizations	organization	NOUN
cana-1311	16	5	,	,	PUNCT
cana-1311	16	6	both	both	CCONJ
cana-1311	16	7	governmental	governmental	ADJ
cana-1311	16	8	and	and	CCONJ
cana-1311	16	9	non	non	ADJ
cana-1311	16	10	-	-	ADJ
cana-1311	16	11	governmental	governmental	ADJ
cana-1311	16	12	,	,	PUNCT
cana-1311	16	13	across	across	ADP
cana-1311	16	14	the	the	DET
cana-1311	16	15	world	world	NOUN
cana-1311	16	16	are	be	AUX
cana-1311	16	17	crucial	crucial	ADJ
cana-1311	16	18	in	in	ADP
cana-1311	16	19	developing	develop	VERB
cana-1311	16	20	the	the	DET
cana-1311	16	21	aqi	aqi	NOUN
cana-1311	17	1	[	[	X
cana-1311	17	2	6	6	NUM
cana-1311	17	3	]	]	PUNCT
cana-1311	17	4	.	.	PUNCT
cana-1311	18	1	notably	notably	ADV
cana-1311	18	2	,	,	PUNCT
cana-1311	18	3	pm2.5	pm2.5	PROPN
cana-1311	18	4	(	(	PUNCT
cana-1311	18	5	particulate	particulate	NOUN
cana-1311	18	6	matter	matter	VERB
cana-1311	18	7	2.5	2.5	NUM
cana-1311	18	8	)	)	PUNCT
cana-1311	18	9	,	,	PUNCT
cana-1311	18	10	pm10	pm10	PROPN
cana-1311	18	11	(	(	PUNCT
cana-1311	18	12	particulate	particulate	NOUN
cana-1311	18	13	matter	matter	NOUN
cana-1311	18	14	10	10	NUM
cana-1311	18	15	)	)	PUNCT
cana-1311	18	16	,	,	PUNCT
cana-1311	18	17	no2	no2	NOUN
cana-1311	18	18	(	(	PUNCT
cana-1311	18	19	carbon	carbon	NOUN
cana-1311	18	20	dioxide	dioxide	NOUN
cana-1311	18	21	)	)	PUNCT
cana-1311	18	22	,	,	PUNCT
cana-1311	18	23	nox	nox	NOUN
cana-1311	18	24	(	(	PUNCT
cana-1311	18	25	nitrogen	nitrogen	NOUN
cana-1311	18	26	oxides	oxide	NOUN
cana-1311	18	27	)	)	PUNCT
cana-1311	18	28	,	,	PUNCT
cana-1311	18	29	co	co	X
cana-1311	18	30	(	(	PUNCT
cana-1311	18	31	carbon	carbon	NOUN
cana-1311	18	32	monoxide	monoxide	NOUN
cana-1311	18	33	)	)	PUNCT
cana-1311	18	34	,	,	PUNCT
cana-1311	18	35	sox	sox	X
cana-1311	18	36	(	(	PUNCT
cana-1311	18	37	sulphur	sulphur	NOUN
cana-1311	18	38	dioxides	dioxide	NOUN
cana-1311	18	39	)	)	PUNCT
cana-1311	18	40	,	,	PUNCT
cana-1311	18	41	o3	o3	PROPN
cana-1311	18	42	(	(	PUNCT
cana-1311	18	43	ozone	ozone	NOUN
cana-1311	18	44	)	)	PUNCT
cana-1311	18	45	and	and	CCONJ
cana-1311	18	46	nh3	nh3	NOUN
cana-1311	18	47	(	(	PUNCT
cana-1311	18	48	ammonia	ammonia	NOUN
cana-1311	18	49	)	)	PUNCT
cana-1311	18	50	are	be	AUX
cana-1311	18	51	stated	state	VERB
cana-1311	18	52	to	to	PART
cana-1311	18	53	be	be	AUX
cana-1311	18	54	responsible	responsible	ADJ
cana-1311	18	55	for	for	ADP
cana-1311	18	56	the	the	DET
cana-1311	18	57	aqi	aqi	PROPN
cana-1311	18	58	indices	index	NOUN
cana-1311	18	59	.	.	PUNCT
cana-1311	19	1	aqi	aqi	PROPN
cana-1311	19	2	levels	level	NOUN
cana-1311	19	3	above	above	ADP
cana-1311	19	4	the	the	DET
cana-1311	19	5	stipulated	stipulate	VERB
cana-1311	19	6	limits	limit	NOUN
cana-1311	19	7	can	can	AUX
cana-1311	19	8	have	have	VERB
cana-1311	19	9	adverse	adverse	ADJ
cana-1311	19	10	effects	effect	NOUN
cana-1311	19	11	on	on	ADP
cana-1311	19	12	the	the	DET
cana-1311	19	13	environment	environment	NOUN
cana-1311	19	14	through	through	ADP
cana-1311	19	15	global	global	ADJ
cana-1311	19	16	warming	warming	NOUN
cana-1311	19	17	,	,	PUNCT
cana-1311	19	18	occurrence	occurrence	NOUN
cana-1311	19	19	of	of	ADP
cana-1311	19	20	acid	acid	NOUN
cana-1311	19	21	rain	rain	NOUN
cana-1311	19	22	,	,	PUNCT
cana-1311	19	23	smog	smog	NOUN
cana-1311	19	24	,	,	PUNCT
cana-1311	19	25	aerosols	aerosol	NOUN
cana-1311	19	26	,	,	PUNCT
cana-1311	19	27	visibility	visibility	NOUN
cana-1311	19	28	limitation	limitation	NOUN
cana-1311	19	29	and	and	CCONJ
cana-1311	19	30	climatic	climatic	ADJ
cana-1311	19	31	changes	change	NOUN
cana-1311	19	32	[	[	X
cana-1311	19	33	5	5	NUM
cana-1311	19	34	]	]	PUNCT
cana-1311	19	35	.	.	PUNCT
cana-1311	20	1	the	the	DET
cana-1311	20	2	air	air	NOUN
cana-1311	20	3	pollution	pollution	NOUN
cana-1311	20	4	is	be	AUX
cana-1311	20	5	increasing	increase	VERB
cana-1311	20	6	in	in	ADP
cana-1311	20	7	urban	urban	ADJ
cana-1311	20	8	areas	area	NOUN
cana-1311	20	9	due	due	ADJ
cana-1311	20	10	to	to	ADP
cana-1311	20	11	high	high	ADJ
cana-1311	20	12	population	population	NOUN
cana-1311	20	13	density	density	NOUN
cana-1311	20	14	,	,	PUNCT
cana-1311	20	15	rapid	rapid	ADJ
cana-1311	20	16	industrialization	industrialization	NOUN
cana-1311	20	17	[	[	X
cana-1311	20	18	32	32	NUM
cana-1311	20	19	]	]	PUNCT
cana-1311	20	20	,	,	PUNCT
cana-1311	20	21	the	the	DET
cana-1311	20	22	emission	emission	NOUN
cana-1311	20	23	of	of	ADP
cana-1311	20	24	industrial	industrial	ADJ
cana-1311	20	25	pollutants	pollutant	NOUN
cana-1311	20	26	and	and	CCONJ
cana-1311	20	27	vehicles	vehicle	NOUN
cana-1311	20	28	[	[	X
cana-1311	20	29	4	4	NUM
cana-1311	20	30	]	]	PUNCT
cana-1311	20	31	.	.	PUNCT
cana-1311	21	1	therefore	therefore	ADV
cana-1311	21	2	,	,	PUNCT
cana-1311	21	3	understanding	understanding	NOUN
cana-1311	21	4	and	and	CCONJ
cana-1311	21	5	managing	manage	VERB
cana-1311	21	6	air	air	NOUN
cana-1311	21	7	quality	quality	NOUN
cana-1311	21	8	are	be	AUX
cana-1311	21	9	crucial	crucial	ADJ
cana-1311	21	10	for	for	SCONJ
cana-1311	21	11	the	the	DET
cana-1311	21	12	government	government	NOUN
cana-1311	21	13	and	and	CCONJ
cana-1311	21	14	policymakers	policymaker	NOUN
cana-1311	21	15	to	to	PART
cana-1311	21	16	develop	develop	VERB
cana-1311	21	17	effective	effective	ADJ
cana-1311	21	18	management	management	NOUN
cana-1311	21	19	strategies	strategy	NOUN
cana-1311	21	20	.	.	PUNCT
cana-1311	22	1	mailto	mailto	PROPN
cana-1311	22	2	:	:	PUNCT
cana-1311	22	3	zosuaremlalliana@gmail.com1	zosuaremlalliana@gmail.com1	PROPN
cana-1311	22	4	*	*	NOUN
cana-1311	22	5	communications	communication	NOUN
cana-1311	22	6	on	on	ADP
cana-1311	22	7	applied	apply	VERB
cana-1311	22	8	nonlinear	nonlinear	ADJ
cana-1311	22	9	analysis	analysis	NOUN
cana-1311	22	10	issn	issn	NOUN
cana-1311	22	11	:	:	PUNCT
cana-1311	22	12	1074	1074	NUM
cana-1311	22	13	-	-	PUNCT
cana-1311	22	14	133x	133x	NUM
cana-1311	22	15	vol	vol	NOUN
cana-1311	22	16	31	31	NUM
cana-1311	22	17	no	no	NOUN
cana-1311	22	18	.	.	PUNCT
cana-1311	23	1	7s	7	NOUN
cana-1311	23	2	(	(	PUNCT
cana-1311	23	3	2024	2024	NUM
cana-1311	23	4	)	)	PUNCT
cana-1311	23	5	329	329	NUM
cana-1311	23	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	23	7	aqi	aqi	PROPN
cana-1311	23	8	is	be	AUX
cana-1311	23	9	a	a	DET
cana-1311	23	10	communication	communication	NOUN
cana-1311	23	11	tool	tool	NOUN
cana-1311	23	12	,	,	PUNCT
cana-1311	23	13	which	which	PRON
cana-1311	23	14	is	be	AUX
cana-1311	23	15	used	use	VERB
cana-1311	23	16	to	to	PART
cana-1311	23	17	convey	convey	VERB
cana-1311	23	18	the	the	DET
cana-1311	23	19	status	status	NOUN
cana-1311	23	20	of	of	ADP
cana-1311	23	21	air	air	NOUN
cana-1311	23	22	in	in	ADP
cana-1311	23	23	terms	term	NOUN
cana-1311	23	24	of	of	ADP
cana-1311	23	25	conditions	condition	NOUN
cana-1311	23	26	that	that	PRON
cana-1311	23	27	are	be	AUX
cana-1311	23	28	easily	easily	ADV
cana-1311	23	29	understandable	understandable	ADJ
cana-1311	23	30	to	to	ADP
cana-1311	23	31	people	people	NOUN
cana-1311	23	32	[	[	X
cana-1311	23	33	27	27	NUM
cana-1311	23	34	]	]	PUNCT
cana-1311	23	35	.	.	PUNCT
cana-1311	24	1	it	it	PRON
cana-1311	24	2	aggregates	aggregate	VERB
cana-1311	24	3	the	the	DET
cana-1311	24	4	information	information	NOUN
cana-1311	24	5	on	on	ADP
cana-1311	24	6	several	several	ADJ
cana-1311	24	7	pollutants	pollutant	NOUN
cana-1311	24	8	and	and	CCONJ
cana-1311	24	9	for	for	ADP
cana-1311	24	10	each	each	DET
cana-1311	24	11	pollutant	pollutant	NOUN
cana-1311	24	12	,	,	PUNCT
cana-1311	24	13	the	the	DET
cana-1311	24	14	data	datum	NOUN
cana-1311	24	15	on	on	ADP
cana-1311	24	16	concentration	concentration	NOUN
cana-1311	24	17	is	be	AUX
cana-1311	24	18	converted	convert	VERB
cana-1311	24	19	to	to	ADP
cana-1311	24	20	a	a	DET
cana-1311	24	21	number	number	NOUN
cana-1311	24	22	which	which	PRON
cana-1311	24	23	is	be	AUX
cana-1311	24	24	the	the	DET
cana-1311	24	25	index	index	NOUN
cana-1311	24	26	value	value	NOUN
cana-1311	24	27	,	,	PUNCT
cana-1311	24	28	assigned	assign	VERB
cana-1311	24	29	a	a	DET
cana-1311	24	30	class	class	NOUN
cana-1311	24	31	and	and	CCONJ
cana-1311	24	32	then	then	ADV
cana-1311	24	33	to	to	ADP
cana-1311	24	34	a	a	DET
cana-1311	24	35	corresponding	corresponding	ADJ
cana-1311	24	36	colour	colour	NOUN
cana-1311	24	37	.	.	PUNCT
cana-1311	25	1	according	accord	VERB
cana-1311	25	2	to	to	ADP
cana-1311	25	3	who	who	PRON
cana-1311	25	4	[	[	PUNCT
cana-1311	25	5	39	39	NUM
cana-1311	25	6	]	]	PUNCT
cana-1311	25	7	,	,	PUNCT
cana-1311	25	8	the	the	DET
cana-1311	25	9	governments	government	NOUN
cana-1311	25	10	should	should	AUX
cana-1311	25	11	carefully	carefully	ADV
cana-1311	25	12	consider	consider	VERB
cana-1311	25	13	their	their	PRON
cana-1311	25	14	unique	unique	ADJ
cana-1311	25	15	local	local	ADJ
cana-1311	25	16	conditions	condition	NOUN
cana-1311	25	17	and	and	CCONJ
cana-1311	25	18	the	the	DET
cana-1311	25	19	specific	specific	ADJ
cana-1311	25	20	characteristics	characteristic	NOUN
cana-1311	25	21	of	of	ADP
cana-1311	25	22	each	each	DET
cana-1311	25	23	area	area	NOUN
cana-1311	25	24	when	when	SCONJ
cana-1311	25	25	setting	set	VERB
cana-1311	25	26	policy	policy	NOUN
cana-1311	25	27	targets	target	NOUN
cana-1311	25	28	,	,	PUNCT
cana-1311	25	29	particularly	particularly	ADV
cana-1311	25	30	regarding	regard	VERB
cana-1311	25	31	the	the	DET
cana-1311	25	32	aqi	aqi	PROPN
cana-1311	25	33	.	.	PUNCT
cana-1311	26	1	central	central	ADJ
cana-1311	26	2	pollution	pollution	PROPN
cana-1311	26	3	control	control	PROPN
cana-1311	26	4	board	board	PROPN
cana-1311	26	5	standard	standard	NOUN
cana-1311	26	6	is	be	AUX
cana-1311	26	7	utilized	utilize	VERB
cana-1311	26	8	to	to	PART
cana-1311	26	9	calculate	calculate	VERB
cana-1311	26	10	aqi	aqi	ADJ
cana-1311	26	11	or	or	CCONJ
cana-1311	26	12	environment	environment	NOUN
cana-1311	26	13	pollution	pollution	NOUN
cana-1311	26	14	index	index	NOUN
cana-1311	26	15	in	in	ADP
cana-1311	26	16	india	india	PROPN
cana-1311	27	1	[	[	X
cana-1311	27	2	21	21	NUM
cana-1311	27	3	]	]	PUNCT
cana-1311	27	4	.	.	PUNCT
cana-1311	28	1	this	this	DET
cana-1311	28	2	index	index	NOUN
cana-1311	28	3	provides	provide	VERB
cana-1311	28	4	insights	insight	NOUN
cana-1311	28	5	into	into	ADP
cana-1311	28	6	the	the	DET
cana-1311	28	7	environmental	environmental	ADJ
cana-1311	28	8	condition	condition	NOUN
cana-1311	28	9	regarding	regard	VERB
cana-1311	28	10	air	air	NOUN
cana-1311	28	11	quality	quality	NOUN
cana-1311	28	12	,	,	PUNCT
cana-1311	28	13	helping	help	VERB
cana-1311	28	14	the	the	DET
cana-1311	28	15	general	general	ADJ
cana-1311	28	16	public	public	NOUN
cana-1311	28	17	understand	understand	VERB
cana-1311	28	18	the	the	DET
cana-1311	28	19	cleanliness	cleanliness	NOUN
cana-1311	28	20	or	or	CCONJ
cana-1311	28	21	pollution	pollution	NOUN
cana-1311	28	22	level	level	NOUN
cana-1311	28	23	of	of	ADP
cana-1311	28	24	the	the	DET
cana-1311	28	25	air	air	NOUN
cana-1311	28	26	.	.	PUNCT
cana-1311	29	1	it	it	PRON
cana-1311	29	2	provides	provide	VERB
cana-1311	29	3	valuable	valuable	ADJ
cana-1311	29	4	evaluation	evaluation	NOUN
cana-1311	29	5	of	of	ADP
cana-1311	29	6	air	air	NOUN
cana-1311	29	7	pollution	pollution	NOUN
cana-1311	29	8	for	for	ADP
cana-1311	29	9	general	general	ADJ
cana-1311	29	10	public	public	NOUN
cana-1311	29	11	and	and	CCONJ
cana-1311	29	12	helps	help	VERB
cana-1311	29	13	in	in	ADP
cana-1311	29	14	recognizing	recognize	VERB
cana-1311	29	15	effective	effective	ADJ
cana-1311	29	16	strategies	strategy	NOUN
cana-1311	29	17	or	or	CCONJ
cana-1311	29	18	devices	device	NOUN
cana-1311	29	19	to	to	PART
cana-1311	29	20	lower	lower	VERB
cana-1311	29	21	the	the	DET
cana-1311	29	22	levels	level	NOUN
cana-1311	29	23	of	of	ADP
cana-1311	29	24	major	major	ADJ
cana-1311	29	25	pollutants	pollutant	NOUN
cana-1311	29	26	.	.	PUNCT
cana-1311	30	1	the	the	DET
cana-1311	30	2	aqi	aqi	NOUN
cana-1311	30	3	represents	represent	VERB
cana-1311	30	4	the	the	DET
cana-1311	30	5	combined	combined	ADJ
cana-1311	30	6	effect	effect	NOUN
cana-1311	30	7	of	of	ADP
cana-1311	30	8	all	all	DET
cana-1311	30	9	pollutants	pollutant	NOUN
cana-1311	30	10	,	,	PUNCT
cana-1311	30	11	giving	give	VERB
cana-1311	30	12	a	a	DET
cana-1311	30	13	comprehensive	comprehensive	ADJ
cana-1311	30	14	overview	overview	NOUN
cana-1311	30	15	of	of	ADP
cana-1311	30	16	the	the	DET
cana-1311	30	17	overall	overall	ADJ
cana-1311	30	18	air	air	NOUN
cana-1311	30	19	quality	quality	NOUN
cana-1311	30	20	status	status	NOUN
cana-1311	30	21	.	.	PUNCT
cana-1311	31	1	the	the	DET
cana-1311	31	2	break	break	NOUN
cana-1311	31	3	points	point	NOUN
cana-1311	31	4	for	for	ADP
cana-1311	31	5	aqi	aqi	ADJ
cana-1311	31	6	scale	scale	NOUN
cana-1311	31	7	(	(	PUNCT
cana-1311	31	8	0	0	NUM
cana-1311	31	9	-	-	SYM
cana-1311	31	10	500	500	NUM
cana-1311	31	11	)	)	PUNCT
cana-1311	31	12	and	and	CCONJ
cana-1311	31	13	categories	category	NOUN
cana-1311	31	14	of	of	ADP
cana-1311	31	15	health	health	NOUN
cana-1311	31	16	statements	statement	NOUN
cana-1311	31	17	are	be	AUX
cana-1311	31	18	given	give	VERB
cana-1311	31	19	in	in	ADP
cana-1311	31	20	table	table	NOUN
cana-1311	31	21	1	1	NUM
cana-1311	31	22	[	[	X
cana-1311	31	23	10	10	NUM
cana-1311	31	24	]	]	PUNCT
cana-1311	31	25	,	,	PUNCT
cana-1311	32	1	[	[	X
cana-1311	32	2	37	37	NUM
cana-1311	32	3	]	]	PUNCT
cana-1311	32	4	.	.	PUNCT
cana-1311	33	1	table	table	NOUN
cana-1311	33	2	1	1	NUM
cana-1311	33	3	:	:	PUNCT
cana-1311	33	4	health	health	NOUN
cana-1311	33	5	guidelines	guideline	NOUN
cana-1311	33	6	based	base	VERB
cana-1311	33	7	on	on	ADP
cana-1311	33	8	aqi	aqi	PROPN
cana-1311	33	9	categories	category	NOUN
cana-1311	33	10	.	.	PUNCT
cana-1311	34	1	aqi	aqi	PROPN
cana-1311	34	2	levels	level	NOUN
cana-1311	34	3	range	range	VERB
cana-1311	34	4	correlated	correlate	VERB
cana-1311	34	5	health	health	NOUN
cana-1311	34	6	outcomes	outcome	NOUN
cana-1311	34	7	good	good	ADJ
cana-1311	34	8	0	0	NUM
cana-1311	34	9	-	-	SYM
cana-1311	34	10	50	50	NUM
cana-1311	34	11	negligible	negligible	ADJ
cana-1311	34	12	influence	influence	NOUN
cana-1311	34	13	.	.	PUNCT
cana-1311	35	1	satisfactory	satisfactory	ADJ
cana-1311	35	2	51	51	NUM
cana-1311	35	3	-	-	SYM
cana-1311	35	4	100	100	NUM
cana-1311	35	5	mild	mild	ADJ
cana-1311	35	6	irritation	irritation	NOUN
cana-1311	35	7	for	for	ADP
cana-1311	35	8	individuals	individual	NOUN
cana-1311	35	9	with	with	ADP
cana-1311	35	10	a	a	DET
cana-1311	35	11	higher	high	ADJ
cana-1311	35	12	risk	risk	NOUN
cana-1311	35	13	.	.	PUNCT
cana-1311	36	1	moderate	moderate	ADJ
cana-1311	36	2	101	101	NUM
cana-1311	36	3	-	-	SYM
cana-1311	36	4	200	200	NUM
cana-1311	36	5	shortness	shortness	NOUN
cana-1311	36	6	of	of	ADP
cana-1311	36	7	breath	breath	NOUN
cana-1311	36	8	among	among	ADP
cana-1311	36	9	children	child	NOUN
cana-1311	36	10	,	,	PUNCT
cana-1311	36	11	elderly	elderly	ADJ
cana-1311	36	12	adults	adult	NOUN
cana-1311	36	13	and	and	CCONJ
cana-1311	36	14	people	people	NOUN
cana-1311	36	15	with	with	ADP
cana-1311	36	16	comorbidities	comorbiditie	NOUN
cana-1311	36	17	that	that	PRON
cana-1311	36	18	affect	affect	VERB
cana-1311	36	19	the	the	DET
cana-1311	36	20	lungs	lung	NOUN
cana-1311	36	21	or	or	CCONJ
cana-1311	36	22	heart	heart	NOUN
cana-1311	36	23	.	.	PUNCT
cana-1311	37	1	poor	poor	ADJ
cana-1311	37	2	201	201	NUM
cana-1311	37	3	-	-	SYM
cana-1311	37	4	300	300	NUM
cana-1311	37	5	shortness	shortness	NOUN
cana-1311	37	6	of	of	ADP
cana-1311	37	7	breath	breath	NOUN
cana-1311	37	8	in	in	ADP
cana-1311	37	9	people	people	NOUN
cana-1311	37	10	who	who	PRON
cana-1311	37	11	stayed	stay	VERB
cana-1311	37	12	for	for	ADP
cana-1311	37	13	long	long	ADJ
cana-1311	37	14	periods	period	NOUN
cana-1311	37	15	and	and	CCONJ
cana-1311	37	16	inconvenience	inconvenience	NOUN
cana-1311	37	17	for	for	ADP
cana-1311	37	18	people	people	NOUN
cana-1311	37	19	with	with	ADP
cana-1311	37	20	cardiac	cardiac	ADJ
cana-1311	37	21	problems	problem	NOUN
cana-1311	37	22	.	.	PUNCT
cana-1311	38	1	very	very	ADV
cana-1311	38	2	poor	poor	ADJ
cana-1311	38	3	301	301	NUM
cana-1311	38	4	-	-	SYM
cana-1311	38	5	400	400	NUM
cana-1311	38	6	persistent	persistent	ADJ
cana-1311	38	7	impact	impact	NOUN
cana-1311	38	8	leading	lead	VERB
cana-1311	38	9	to	to	ADP
cana-1311	38	10	respiratory	respiratory	ADJ
cana-1311	38	11	disease	disease	NOUN
cana-1311	38	12	,	,	PUNCT
cana-1311	38	13	especially	especially	ADV
cana-1311	38	14	for	for	ADP
cana-1311	38	15	individuals	individual	NOUN
cana-1311	38	16	with	with	ADP
cana-1311	38	17	lung	lung	NOUN
cana-1311	38	18	and	and	CCONJ
cana-1311	38	19	heart	heart	NOUN
cana-1311	38	20	ailments	ailment	NOUN
cana-1311	38	21	.	.	PUNCT
cana-1311	39	1	severe	severe	ADJ
cana-1311	39	2	401	401	NUM
cana-1311	39	3	-	-	SYM
cana-1311	39	4	500	500	NUM
cana-1311	39	5	impact	impact	NOUN
cana-1311	39	6	on	on	ADP
cana-1311	39	7	respiratory	respiratory	ADJ
cana-1311	39	8	problems	problem	NOUN
cana-1311	39	9	in	in	ADP
cana-1311	39	10	healthy	healthy	ADJ
cana-1311	39	11	individuals	individual	NOUN
cana-1311	39	12	and	and	CCONJ
cana-1311	39	13	serious	serious	ADJ
cana-1311	39	14	health	health	NOUN
cana-1311	39	15	consequences	consequence	NOUN
cana-1311	39	16	for	for	ADP
cana-1311	39	17	those	those	PRON
cana-1311	39	18	with	with	ADP
cana-1311	39	19	lung	lung	NOUN
cana-1311	39	20	or	or	CCONJ
cana-1311	39	21	heart	heart	NOUN
cana-1311	39	22	disease	disease	NOUN
cana-1311	39	23	,	,	PUNCT
cana-1311	39	24	even	even	ADV
cana-1311	39	25	with	with	ADP
cana-1311	39	26	light	light	ADJ
cana-1311	39	27	physical	physical	ADJ
cana-1311	39	28	activity	activity	NOUN
cana-1311	39	29	.	.	PUNCT
cana-1311	40	1	guwahati	guwahati	PROPN
cana-1311	40	2	,	,	PUNCT
cana-1311	40	3	the	the	DET
cana-1311	40	4	leading	lead	VERB
cana-1311	40	5	city	city	NOUN
cana-1311	40	6	and	and	CCONJ
cana-1311	40	7	capital	capital	NOUN
cana-1311	40	8	of	of	ADP
cana-1311	40	9	assam	assam	PROPN
cana-1311	40	10	,	,	PUNCT
cana-1311	40	11	is	be	AUX
cana-1311	40	12	the	the	DET
cana-1311	40	13	most	most	ADV
cana-1311	40	14	extensive	extensive	ADJ
cana-1311	40	15	metropolitan	metropolitan	ADJ
cana-1311	40	16	region	region	NOUN
cana-1311	40	17	in	in	ADP
cana-1311	40	18	the	the	DET
cana-1311	40	19	north	north	NOUN
cana-1311	40	20	-	-	PUNCT
cana-1311	40	21	eastern	eastern	NOUN
cana-1311	40	22	region	region	NOUN
cana-1311	40	23	of	of	ADP
cana-1311	40	24	india	india	PROPN
cana-1311	41	1	[	[	X
cana-1311	41	2	19	19	NUM
cana-1311	41	3	]	]	PUNCT
cana-1311	41	4	.	.	PUNCT
cana-1311	42	1	it	it	PRON
cana-1311	42	2	has	have	AUX
cana-1311	42	3	experienced	experience	VERB
cana-1311	42	4	rapid	rapid	ADJ
cana-1311	42	5	urbanization	urbanization	NOUN
cana-1311	42	6	and	and	CCONJ
cana-1311	42	7	growth	growth	NOUN
cana-1311	42	8	over	over	ADP
cana-1311	42	9	the	the	DET
cana-1311	42	10	past	past	ADJ
cana-1311	42	11	few	few	ADJ
cana-1311	42	12	decades	decade	NOUN
cana-1311	42	13	and	and	CCONJ
cana-1311	42	14	this	this	DET
cana-1311	42	15	growth	growth	NOUN
cana-1311	42	16	,	,	PUNCT
cana-1311	42	17	driven	drive	VERB
cana-1311	42	18	by	by	ADP
cana-1311	42	19	industrialization	industrialization	NOUN
cana-1311	42	20	and	and	CCONJ
cana-1311	42	21	a	a	DET
cana-1311	42	22	significant	significant	ADJ
cana-1311	42	23	increase	increase	NOUN
cana-1311	42	24	in	in	ADP
cana-1311	42	25	vehicular	vehicular	ADJ
cana-1311	42	26	traffic	traffic	NOUN
cana-1311	42	27	(	(	PUNCT
cana-1311	42	28	87	87	NUM
cana-1311	42	29	%	%	NOUN
cana-1311	42	30	)	)	PUNCT
cana-1311	42	31	has	have	AUX
cana-1311	42	32	severely	severely	ADV
cana-1311	42	33	impacted	impact	VERB
cana-1311	42	34	the	the	DET
cana-1311	42	35	city	city	NOUN
cana-1311	42	36	's	's	PART
cana-1311	42	37	air	air	NOUN
cana-1311	42	38	quality	quality	NOUN
cana-1311	42	39	.	.	PUNCT
cana-1311	43	1	as	as	ADP
cana-1311	43	2	the	the	DET
cana-1311	43	3	gateway	gateway	NOUN
cana-1311	43	4	to	to	ADP
cana-1311	43	5	nearly	nearly	ADV
cana-1311	43	6	all	all	PRON
cana-1311	43	7	north	north	ADJ
cana-1311	43	8	eastern	eastern	ADJ
cana-1311	43	9	states	state	NOUN
cana-1311	43	10	,	,	PUNCT
cana-1311	43	11	guwahati	guwahati	PROPN
cana-1311	43	12	has	have	AUX
cana-1311	43	13	seen	see	VERB
cana-1311	43	14	a	a	DET
cana-1311	43	15	surge	surge	NOUN
cana-1311	43	16	in	in	ADP
cana-1311	43	17	fossil	fossil	NOUN
cana-1311	43	18	fuel	fuel	NOUN
cana-1311	43	19	-	-	PUNCT
cana-1311	43	20	powered	power	VERB
cana-1311	43	21	vehicles	vehicle	NOUN
cana-1311	43	22	,	,	PUNCT
cana-1311	43	23	contributing	contribute	VERB
cana-1311	43	24	to	to	ADP
cana-1311	43	25	rising	rise	VERB
cana-1311	43	26	pollution	pollution	NOUN
cana-1311	43	27	levels	level	NOUN
cana-1311	43	28	[	[	X
cana-1311	43	29	13	13	NUM
cana-1311	43	30	]	]	PUNCT
cana-1311	43	31	.	.	PUNCT
cana-1311	44	1	recent	recent	ADJ
cana-1311	44	2	studies	study	NOUN
cana-1311	44	3	have	have	AUX
cana-1311	44	4	revealed	reveal	VERB
cana-1311	44	5	a	a	DET
cana-1311	44	6	potential	potential	ADJ
cana-1311	44	7	health	health	NOUN
cana-1311	44	8	threat	threat	NOUN
cana-1311	44	9	in	in	ADP
cana-1311	44	10	guwahati	guwahati	PROPN
cana-1311	44	11	in	in	ADP
cana-1311	44	12	regard	regard	NOUN
cana-1311	44	13	to	to	ADP
cana-1311	44	14	air	air	NOUN
cana-1311	44	15	pollution	pollution	NOUN
cana-1311	44	16	with	with	ADP
cana-1311	44	17	hazard	hazard	NOUN
cana-1311	44	18	quotient	quotient	NOUN
cana-1311	44	19	(	(	PUNCT
cana-1311	44	20	hq	hq	NOUN
cana-1311	44	21	)	)	PUNCT
cana-1311	44	22	estimated	estimate	VERB
cana-1311	44	23	according	accord	VERB
cana-1311	44	24	to	to	ADP
cana-1311	44	25	the	the	DET
cana-1311	44	26	norms	norm	NOUN
cana-1311	44	27	of	of	ADP
cana-1311	44	28	naaqs	naaq	NOUN
cana-1311	44	29	and	and	CCONJ
cana-1311	44	30	who	who	PRON
cana-1311	44	31	which	which	PRON
cana-1311	44	32	showed	show	VERB
cana-1311	44	33	a	a	DET
cana-1311	44	34	significant	significant	ADJ
cana-1311	44	35	likelihood	likelihood	NOUN
cana-1311	44	36	of	of	ADP
cana-1311	44	37	adverse	adverse	ADJ
cana-1311	44	38	health	health	NOUN
cana-1311	44	39	effects	effect	NOUN
cana-1311	44	40	[	[	X
cana-1311	44	41	15	15	NUM
cana-1311	44	42	]	]	PUNCT
cana-1311	44	43	.	.	PUNCT
cana-1311	45	1	high	high	ADJ
cana-1311	45	2	levels	level	NOUN
cana-1311	45	3	of	of	ADP
cana-1311	45	4	black	black	ADJ
cana-1311	45	5	carbon	carbon	NOUN
cana-1311	45	6	emissions	emission	NOUN
cana-1311	45	7	,	,	PUNCT
cana-1311	45	8	resulting	result	VERB
cana-1311	45	9	from	from	ADP
cana-1311	45	10	rapid	rapid	ADJ
cana-1311	45	11	urbanization	urbanization	NOUN
cana-1311	45	12	and	and	CCONJ
cana-1311	45	13	inadequate	inadequate	ADJ
cana-1311	45	14	environmental	environmental	ADJ
cana-1311	45	15	regulations	regulation	NOUN
cana-1311	45	16	,	,	PUNCT
cana-1311	45	17	have	have	AUX
cana-1311	45	18	raised	raise	VERB
cana-1311	45	19	alarm	alarm	NOUN
cana-1311	45	20	bells	bell	NOUN
cana-1311	45	21	in	in	ADP
cana-1311	45	22	guwahati	guwahati	PROPN
cana-1311	45	23	[	[	X
cana-1311	45	24	7	7	NUM
cana-1311	45	25	]	]	PUNCT
cana-1311	45	26	.	.	PUNCT
cana-1311	46	1	despite	despite	SCONJ
cana-1311	46	2	these	these	DET
cana-1311	46	3	challenges	challenge	NOUN
cana-1311	46	4	,	,	PUNCT
cana-1311	46	5	there	there	PRON
cana-1311	46	6	has	have	AUX
cana-1311	46	7	been	be	AUX
cana-1311	46	8	limited	limit	VERB
cana-1311	46	9	research	research	NOUN
cana-1311	46	10	focused	focus	VERB
cana-1311	46	11	on	on	ADP
cana-1311	46	12	predictive	predictive	ADJ
cana-1311	46	13	modelling	modelling	NOUN
cana-1311	46	14	and	and	CCONJ
cana-1311	46	15	health	health	NOUN
cana-1311	46	16	risk	risk	NOUN
cana-1311	46	17	categorization	categorization	NOUN
cana-1311	46	18	of	of	ADP
cana-1311	46	19	aqi	aqi	PROPN
cana-1311	46	20	in	in	ADP
cana-1311	46	21	the	the	DET
cana-1311	46	22	city	city	NOUN
cana-1311	46	23	,	,	PUNCT
cana-1311	46	24	making	make	VERB
cana-1311	46	25	it	it	PRON
cana-1311	46	26	a	a	DET
cana-1311	46	27	crucial	crucial	ADJ
cana-1311	46	28	area	area	NOUN
cana-1311	46	29	for	for	ADP
cana-1311	46	30	further	further	ADJ
cana-1311	46	31	investigation	investigation	NOUN
cana-1311	46	32	.	.	PUNCT
cana-1311	47	1	communications	communication	NOUN
cana-1311	47	2	on	on	ADP
cana-1311	47	3	applied	apply	VERB
cana-1311	47	4	nonlinear	nonlinear	ADJ
cana-1311	47	5	analysis	analysis	NOUN
cana-1311	47	6	issn	issn	NOUN
cana-1311	47	7	:	:	PUNCT
cana-1311	47	8	1074	1074	NUM
cana-1311	47	9	-	-	PUNCT
cana-1311	47	10	133x	133x	NUM
cana-1311	47	11	vol	vol	NOUN
cana-1311	47	12	31	31	NUM
cana-1311	47	13	no	no	NOUN
cana-1311	47	14	.	.	PUNCT
cana-1311	48	1	7s	7	NOUN
cana-1311	48	2	(	(	PUNCT
cana-1311	48	3	2024	2024	NUM
cana-1311	48	4	)	)	PUNCT
cana-1311	48	5	330	330	NUM
cana-1311	48	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	48	7	in	in	ADP
cana-1311	48	8	this	this	DET
cana-1311	48	9	present	present	ADJ
cana-1311	48	10	work	work	NOUN
cana-1311	48	11	,	,	PUNCT
cana-1311	48	12	ml	ml	ADP
cana-1311	48	13	algorithms	algorithm	NOUN
cana-1311	48	14	like	like	ADP
cana-1311	48	15	rf	rf	ADJ
cana-1311	48	16	(	(	PUNCT
cana-1311	48	17	random	random	ADJ
cana-1311	48	18	forest	forest	NOUN
cana-1311	48	19	)	)	PUNCT
cana-1311	48	20	,	,	PUNCT
cana-1311	48	21	knn	knn	PROPN
cana-1311	48	22	(	(	PUNCT
cana-1311	48	23	k	k	X
cana-1311	48	24	-	-	PUNCT
cana-1311	48	25	nearest	near	ADJ
cana-1311	48	26	neighbors	neighbor	NOUN
cana-1311	48	27	)	)	PUNCT
cana-1311	48	28	and	and	CCONJ
cana-1311	48	29	dt	dt	X
cana-1311	48	30	(	(	PUNCT
cana-1311	48	31	decision	decision	NOUN
cana-1311	48	32	trees	tree	NOUN
cana-1311	48	33	)	)	PUNCT
cana-1311	48	34	have	have	AUX
cana-1311	48	35	been	be	AUX
cana-1311	48	36	performed	perform	VERB
cana-1311	48	37	for	for	ADP
cana-1311	48	38	both	both	DET
cana-1311	48	39	regression	regression	NOUN
cana-1311	48	40	and	and	CCONJ
cana-1311	48	41	classification	classification	NOUN
cana-1311	48	42	to	to	PART
cana-1311	48	43	predict	predict	VERB
cana-1311	48	44	aqi	aqi	ADJ
cana-1311	48	45	values	value	NOUN
cana-1311	48	46	and	and	CCONJ
cana-1311	48	47	categorize	categorize	VERB
cana-1311	48	48	health	health	NOUN
cana-1311	48	49	risk	risk	NOUN
cana-1311	48	50	levels	level	NOUN
cana-1311	48	51	in	in	ADP
cana-1311	48	52	guwahati	guwahati	PROPN
cana-1311	48	53	.	.	PUNCT
cana-1311	49	1	due	due	ADP
cana-1311	49	2	to	to	ADP
cana-1311	49	3	the	the	DET
cana-1311	49	4	skewed	skewed	ADJ
cana-1311	49	5	nature	nature	NOUN
cana-1311	49	6	of	of	ADP
cana-1311	49	7	the	the	DET
cana-1311	49	8	data	datum	NOUN
cana-1311	49	9	,	,	PUNCT
cana-1311	49	10	transformations	transformation	NOUN
cana-1311	49	11	are	be	AUX
cana-1311	49	12	applied	apply	VERB
cana-1311	49	13	to	to	PART
cana-1311	49	14	upgrade	upgrade	VERB
cana-1311	49	15	the	the	DET
cana-1311	49	16	performance	performance	NOUN
cana-1311	49	17	of	of	ADP
cana-1311	49	18	this	this	DET
cana-1311	49	19	model	model	NOUN
cana-1311	49	20	and	and	CCONJ
cana-1311	49	21	the	the	DET
cana-1311	49	22	results	result	NOUN
cana-1311	49	23	are	be	AUX
cana-1311	49	24	scrutinized	scrutinize	VERB
cana-1311	49	25	using	use	VERB
cana-1311	49	26	performance	performance	NOUN
cana-1311	49	27	indicators	indicator	NOUN
cana-1311	49	28	such	such	ADJ
cana-1311	49	29	as	as	ADP
cana-1311	49	30	r	r	NOUN
cana-1311	49	31	2	2	NUM
cana-1311	49	32	(	(	PUNCT
cana-1311	49	33	coefficient	coefficient	NOUN
cana-1311	49	34	of	of	ADP
cana-1311	49	35	determination	determination	NOUN
cana-1311	49	36	)	)	PUNCT
cana-1311	49	37	,	,	PUNCT
cana-1311	49	38	rmse	rmse	NOUN
cana-1311	49	39	(	(	PUNCT
cana-1311	49	40	root	root	NOUN
cana-1311	49	41	mean	mean	VERB
cana-1311	49	42	squared	square	VERB
cana-1311	49	43	error	error	NOUN
cana-1311	49	44	)	)	PUNCT
cana-1311	49	45	and	and	CCONJ
cana-1311	49	46	mae	mae	PROPN
cana-1311	49	47	(	(	PUNCT
cana-1311	49	48	mean	mean	ADJ
cana-1311	49	49	absolute	absolute	ADJ
cana-1311	49	50	error	error	NOUN
cana-1311	49	51	)	)	PUNCT
cana-1311	49	52	for	for	ADP
cana-1311	49	53	regression	regression	NOUN
cana-1311	49	54	tasks	task	NOUN
cana-1311	49	55	.	.	PUNCT
cana-1311	50	1	for	for	ADP
cana-1311	50	2	classification	classification	NOUN
cana-1311	50	3	,	,	PUNCT
cana-1311	50	4	metrics	metric	NOUN
cana-1311	50	5	such	such	ADJ
cana-1311	50	6	as	as	ADP
cana-1311	50	7	accuracy	accuracy	NOUN
cana-1311	50	8	,	,	PUNCT
cana-1311	50	9	f1	f1	NOUN
cana-1311	50	10	score	score	NOUN
cana-1311	50	11	,	,	PUNCT
cana-1311	50	12	mathew	mathew	PROPN
cana-1311	50	13	’s	’s	PART
cana-1311	50	14	correlation	correlation	NOUN
cana-1311	50	15	coefficients	coefficient	NOUN
cana-1311	50	16	(	(	PUNCT
cana-1311	50	17	mcc	mcc	NOUN
cana-1311	50	18	)	)	PUNCT
cana-1311	50	19	and	and	CCONJ
cana-1311	50	20	auroc	auroc	NOUN
cana-1311	50	21	(	(	PUNCT
cana-1311	50	22	area	area	NOUN
cana-1311	50	23	under	under	ADP
cana-1311	50	24	the	the	DET
cana-1311	50	25	receiver	receiver	ADJ
cana-1311	50	26	operating	operating	NOUN
cana-1311	50	27	characteristics	characteristic	NOUN
cana-1311	50	28	)	)	PUNCT
cana-1311	50	29	are	be	AUX
cana-1311	50	30	implemented	implement	VERB
cana-1311	50	31	.	.	PUNCT
cana-1311	51	1	the	the	DET
cana-1311	51	2	intent	intent	NOUN
cana-1311	51	3	behind	behind	ADP
cana-1311	51	4	this	this	DET
cana-1311	51	5	research	research	NOUN
cana-1311	51	6	is	be	AUX
cana-1311	51	7	to	to	PART
cana-1311	51	8	formulate	formulate	VERB
cana-1311	51	9	a	a	DET
cana-1311	51	10	robust	robust	ADJ
cana-1311	51	11	prediction	prediction	NOUN
cana-1311	51	12	mechanism	mechanism	NOUN
cana-1311	51	13	for	for	ADP
cana-1311	51	14	aqi	aqi	PROPN
cana-1311	51	15	and	and	CCONJ
cana-1311	51	16	aql	aql	NOUN
cana-1311	51	17	and	and	CCONJ
cana-1311	51	18	identify	identify	VERB
cana-1311	51	19	the	the	DET
cana-1311	51	20	main	main	ADJ
cana-1311	51	21	factors	factor	NOUN
cana-1311	51	22	that	that	PRON
cana-1311	51	23	significantly	significantly	ADV
cana-1311	51	24	influence	influence	VERB
cana-1311	51	25	high	high	ADJ
cana-1311	51	26	aqi	aqi	ADJ
cana-1311	51	27	values	value	NOUN
cana-1311	51	28	in	in	ADP
cana-1311	51	29	guwahati	guwahati	NOUN
cana-1311	51	30	so	so	SCONJ
cana-1311	51	31	that	that	SCONJ
cana-1311	51	32	the	the	DET
cana-1311	51	33	findings	finding	NOUN
cana-1311	51	34	will	will	AUX
cana-1311	51	35	be	be	AUX
cana-1311	51	36	useful	useful	ADJ
cana-1311	51	37	for	for	SCONJ
cana-1311	51	38	the	the	DET
cana-1311	51	39	government	government	NOUN
cana-1311	51	40	and	and	CCONJ
cana-1311	51	41	policymakers	policymaker	NOUN
cana-1311	51	42	to	to	PART
cana-1311	51	43	take	take	VERB
cana-1311	51	44	a	a	DET
cana-1311	51	45	preventive	preventive	ADJ
cana-1311	51	46	measure	measure	NOUN
cana-1311	51	47	to	to	PART
cana-1311	51	48	reduce	reduce	VERB
cana-1311	51	49	poor	poor	ADJ
cana-1311	51	50	air	air	NOUN
cana-1311	51	51	quality	quality	NOUN
cana-1311	51	52	.	.	PUNCT
cana-1311	52	1	thus	thus	ADV
cana-1311	52	2	,	,	PUNCT
cana-1311	52	3	this	this	DET
cana-1311	52	4	paper	paper	NOUN
cana-1311	52	5	aims	aim	VERB
cana-1311	52	6	to	to	PART
cana-1311	52	7	increase	increase	VERB
cana-1311	52	8	the	the	DET
cana-1311	52	9	accuracy	accuracy	NOUN
cana-1311	52	10	of	of	ADP
cana-1311	52	11	aqi	aqi	ADJ
cana-1311	52	12	predictions	prediction	NOUN
cana-1311	52	13	and	and	CCONJ
cana-1311	52	14	strengthen	strengthen	VERB
cana-1311	52	15	air	air	NOUN
cana-1311	52	16	quality	quality	NOUN
cana-1311	52	17	management	management	NOUN
cana-1311	52	18	in	in	ADP
cana-1311	52	19	the	the	DET
cana-1311	52	20	region	region	NOUN
cana-1311	52	21	by	by	ADP
cana-1311	52	22	identifying	identify	VERB
cana-1311	52	23	the	the	DET
cana-1311	52	24	critical	critical	ADJ
cana-1311	52	25	polluting	polluting	NOUN
cana-1311	52	26	factors	factor	NOUN
cana-1311	52	27	and	and	CCONJ
cana-1311	52	28	applying	apply	VERB
cana-1311	52	29	innovative	innovative	ADJ
cana-1311	52	30	predictive	predictive	ADJ
cana-1311	52	31	models	model	NOUN
cana-1311	52	32	based	base	VERB
cana-1311	52	33	on	on	ADP
cana-1311	52	34	ml	ml	ADP
cana-1311	52	35	algorithms	algorithm	NOUN
cana-1311	52	36	.	.	PUNCT
cana-1311	53	1	2	2	X
cana-1311	53	2	.	.	X
cana-1311	53	3	literature	literature	NOUN
cana-1311	53	4	review	review	PROPN
cana-1311	53	5	gupta	gupta	PROPN
cana-1311	53	6	et	et	PROPN
cana-1311	53	7	al	al	PROPN
cana-1311	53	8	.	.	PROPN
cana-1311	54	1	(	(	PUNCT
cana-1311	54	2	2023	2023	NUM
cana-1311	54	3	)	)	PUNCT
cana-1311	54	4	used	use	VERB
cana-1311	54	5	regression	regression	NOUN
cana-1311	54	6	models	model	NOUN
cana-1311	54	7	[	[	X
cana-1311	54	8	18	18	NUM
cana-1311	54	9	]	]	SYM
cana-1311	54	10	viz	viz	PROPN
cana-1311	54	11	.	.	PUNCT
cana-1311	55	1	svr	svr	PROPN
cana-1311	55	2	(	(	PUNCT
cana-1311	55	3	support	support	VERB
cana-1311	55	4	vector	vector	NOUN
cana-1311	55	5	regression	regression	NOUN
cana-1311	55	6	)	)	PUNCT
cana-1311	55	7	,	,	PUNCT
cana-1311	55	8	rfr	rfr	PROPN
cana-1311	55	9	(	(	PUNCT
cana-1311	55	10	random	random	ADJ
cana-1311	55	11	forest	forest	NOUN
cana-1311	55	12	regression	regression	NOUN
cana-1311	55	13	)	)	PUNCT
cana-1311	55	14	and	and	CCONJ
cana-1311	55	15	cr	cr	PROPN
cana-1311	55	16	(	(	PUNCT
cana-1311	55	17	catboost	catboost	PROPN
cana-1311	55	18	regression	regression	NOUN
cana-1311	55	19	)	)	PUNCT
cana-1311	55	20	to	to	PART
cana-1311	55	21	forecast	forecast	VERB
cana-1311	55	22	aqi	aqi	PROPN
cana-1311	55	23	in	in	ADP
cana-1311	55	24	indian	indian	ADJ
cana-1311	55	25	cities	city	NOUN
cana-1311	55	26	such	such	ADJ
cana-1311	55	27	as	as	ADP
cana-1311	55	28	new	new	ADJ
cana-1311	55	29	delhi	delhi	PROPN
cana-1311	55	30	,	,	PUNCT
cana-1311	55	31	bangalore	bangalore	PROPN
cana-1311	55	32	,	,	PUNCT
cana-1311	55	33	kolkata	kolkata	PROPN
cana-1311	55	34	and	and	CCONJ
cana-1311	55	35	hyderabad	hyderabad	PROPN
cana-1311	55	36	.	.	PUNCT
cana-1311	56	1	for	for	ADP
cana-1311	56	2	data	data	NOUN
cana-1311	56	3	balancing	balancing	NOUN
cana-1311	56	4	,	,	PUNCT
cana-1311	56	5	smote	smote	ADJ
cana-1311	56	6	(	(	PUNCT
cana-1311	56	7	synthetic	synthetic	ADJ
cana-1311	56	8	minority	minority	NOUN
cana-1311	56	9	oversampling	oversample	VERB
cana-1311	56	10	technique	technique	NOUN
cana-1311	56	11	)	)	PUNCT
cana-1311	56	12	algorithm	algorithm	NOUN
cana-1311	56	13	was	be	AUX
cana-1311	56	14	employed	employ	VERB
cana-1311	56	15	,	,	PUNCT
cana-1311	56	16	which	which	PRON
cana-1311	56	17	led	lead	VERB
cana-1311	56	18	to	to	PART
cana-1311	56	19	enhance	enhance	VERB
cana-1311	56	20	model	model	NOUN
cana-1311	56	21	accuracy	accuracy	NOUN
cana-1311	56	22	.	.	PUNCT
cana-1311	57	1	the	the	DET
cana-1311	57	2	result	result	NOUN
cana-1311	57	3	shows	show	VERB
cana-1311	57	4	that	that	SCONJ
cana-1311	57	5	rfr	rfr	PROPN
cana-1311	57	6	provides	provide	VERB
cana-1311	57	7	the	the	DET
cana-1311	57	8	lowest	low	ADJ
cana-1311	57	9	values	value	NOUN
cana-1311	57	10	of	of	ADP
cana-1311	57	11	rmse	rmse	NOUN
cana-1311	57	12	and	and	CCONJ
cana-1311	57	13	highest	high	ADJ
cana-1311	57	14	accuracy	accuracy	NOUN
cana-1311	57	15	as	as	ADP
cana-1311	57	16	compared	compare	VERB
cana-1311	57	17	to	to	ADP
cana-1311	57	18	other	other	ADJ
cana-1311	57	19	techniques	technique	NOUN
cana-1311	57	20	while	while	SCONJ
cana-1311	57	21	cr	cr	NOUN
cana-1311	57	22	provides	provide	VERB
cana-1311	57	23	the	the	DET
cana-1311	57	24	highest	high	ADJ
cana-1311	57	25	accuracy	accuracy	NOUN
cana-1311	57	26	in	in	ADP
cana-1311	57	27	some	some	DET
cana-1311	57	28	cities	city	NOUN
cana-1311	57	29	.	.	PUNCT
cana-1311	58	1	overall	overall	ADV
cana-1311	58	2	,	,	PUNCT
cana-1311	58	3	the	the	DET
cana-1311	58	4	study	study	NOUN
cana-1311	58	5	demonstrated	demonstrate	VERB
cana-1311	58	6	that	that	SCONJ
cana-1311	58	7	rfr	rfr	PROPN
cana-1311	58	8	and	and	CCONJ
cana-1311	58	9	cr	cr	PROPN
cana-1311	58	10	models	model	NOUN
cana-1311	58	11	,	,	PUNCT
cana-1311	58	12	especially	especially	ADV
cana-1311	58	13	when	when	SCONJ
cana-1311	58	14	combined	combine	VERB
cana-1311	58	15	with	with	ADP
cana-1311	58	16	dataset	dataset	NOUN
cana-1311	58	17	balancing	balancing	NOUN
cana-1311	58	18	techniques	technique	NOUN
cana-1311	58	19	smote	smote	ADJ
cana-1311	58	20	,	,	PUNCT
cana-1311	58	21	significantly	significantly	ADV
cana-1311	58	22	improved	improve	VERB
cana-1311	58	23	the	the	DET
cana-1311	58	24	accuracy	accuracy	NOUN
cana-1311	58	25	of	of	ADP
cana-1311	58	26	aqi	aqi	ADJ
cana-1311	58	27	predictions	prediction	NOUN
cana-1311	58	28	in	in	ADP
cana-1311	58	29	various	various	ADJ
cana-1311	58	30	indian	indian	ADJ
cana-1311	58	31	cities	city	NOUN
cana-1311	58	32	.	.	PUNCT
cana-1311	59	1	the	the	DET
cana-1311	59	2	use	use	NOUN
cana-1311	59	3	of	of	ADP
cana-1311	59	4	smote	smote	NOUN
cana-1311	59	5	in	in	ADP
cana-1311	59	6	this	this	DET
cana-1311	59	7	study	study	NOUN
cana-1311	59	8	for	for	ADP
cana-1311	59	9	dataset	dataset	NOUN
cana-1311	59	10	balancing	balancing	NOUN
cana-1311	59	11	might	might	AUX
cana-1311	59	12	have	have	VERB
cana-1311	59	13	its	its	PRON
cana-1311	59	14	own	own	ADJ
cana-1311	59	15	limitations	limitation	NOUN
cana-1311	59	16	and	and	CCONJ
cana-1311	59	17	assumptions	assumption	NOUN
cana-1311	59	18	that	that	PRON
cana-1311	59	19	could	could	AUX
cana-1311	59	20	affect	affect	VERB
cana-1311	59	21	the	the	DET
cana-1311	59	22	overall	overall	ADJ
cana-1311	59	23	accuracy	accuracy	NOUN
cana-1311	59	24	and	and	CCONJ
cana-1311	59	25	reliability	reliability	NOUN
cana-1311	59	26	of	of	ADP
cana-1311	59	27	the	the	DET
cana-1311	59	28	predictions	prediction	NOUN
cana-1311	59	29	and	and	CCONJ
cana-1311	59	30	this	this	DET
cana-1311	59	31	paper	paper	NOUN
cana-1311	59	32	lacks	lack	VERB
cana-1311	59	33	an	an	DET
cana-1311	59	34	in	in	ADP
cana-1311	59	35	-	-	PUNCT
cana-1311	59	36	depth	depth	NOUN
cana-1311	59	37	discussion	discussion	NOUN
cana-1311	59	38	on	on	ADP
cana-1311	59	39	the	the	DET
cana-1311	59	40	potential	potential	ADJ
cana-1311	59	41	environment	environment	NOUN
cana-1311	59	42	or	or	CCONJ
cana-1311	59	43	health	health	NOUN
cana-1311	59	44	implications	implication	NOUN
cana-1311	59	45	of	of	ADP
cana-1311	59	46	inaccurate	inaccurate	ADJ
cana-1311	59	47	aqi	aqi	ADJ
cana-1311	59	48	predictions	prediction	NOUN
cana-1311	59	49	,	,	PUNCT
cana-1311	59	50	which	which	PRON
cana-1311	59	51	could	could	AUX
cana-1311	59	52	be	be	AUX
cana-1311	59	53	crucial	crucial	ADJ
cana-1311	59	54	for	for	ADP
cana-1311	59	55	understanding	understand	VERB
cana-1311	59	56	the	the	DET
cana-1311	59	57	real	real	ADJ
cana-1311	59	58	-	-	PUNCT
cana-1311	59	59	world	world	NOUN
cana-1311	59	60	impact	impact	NOUN
cana-1311	59	61	of	of	ADP
cana-1311	59	62	the	the	DET
cana-1311	59	63	study	study	NOUN
cana-1311	59	64	.	.	PUNCT
cana-1311	60	1	dutta	dutta	PROPN
cana-1311	60	2	&	&	CCONJ
cana-1311	60	3	jinsart	jinsart	PROPN
cana-1311	60	4	(	(	PUNCT
cana-1311	60	5	2021a	2021a	NUM
cana-1311	60	6	)	)	PUNCT
cana-1311	60	7	compared	compare	VERB
cana-1311	60	8	different	different	ADJ
cana-1311	60	9	models	model	NOUN
cana-1311	60	10	[	[	X
cana-1311	60	11	13	13	NUM
cana-1311	60	12	]	]	PUNCT
cana-1311	60	13	,	,	PUNCT
cana-1311	60	14	namely	namely	ADV
cana-1311	60	15	mlr	mlr	NOUN
cana-1311	60	16	(	(	PUNCT
cana-1311	60	17	multiple	multiple	ADJ
cana-1311	60	18	linear	linear	PROPN
cana-1311	60	19	regression	regression	NOUN
cana-1311	60	20	)	)	PUNCT
cana-1311	60	21	,	,	PUNCT
cana-1311	60	22	ann	ann	PROPN
cana-1311	60	23	(	(	PUNCT
cana-1311	60	24	artificial	artificial	ADJ
cana-1311	60	25	neural	neural	ADJ
cana-1311	60	26	network	network	NOUN
cana-1311	60	27	)	)	PUNCT
cana-1311	60	28	and	and	CCONJ
cana-1311	60	29	cart	cart	NOUN
cana-1311	60	30	(	(	PUNCT
cana-1311	60	31	classification	classification	NOUN
cana-1311	60	32	and	and	CCONJ
cana-1311	60	33	regression	regression	NOUN
cana-1311	60	34	trees	tree	NOUN
cana-1311	60	35	)	)	PUNCT
cana-1311	60	36	were	be	AUX
cana-1311	60	37	used	use	VERB
cana-1311	60	38	to	to	PART
cana-1311	60	39	predict	predict	VERB
cana-1311	60	40	pm10	pm10	PROPN
cana-1311	60	41	concentrations	concentration	NOUN
cana-1311	60	42	at	at	ADP
cana-1311	60	43	guwahati	guwahati	PROPN
cana-1311	60	44	city	city	PROPN
cana-1311	60	45	.	.	PUNCT
cana-1311	61	1	linear	linear	ADJ
cana-1311	61	2	interpolation	interpolation	NOUN
cana-1311	61	3	was	be	AUX
cana-1311	61	4	applied	apply	VERB
cana-1311	61	5	for	for	ADP
cana-1311	61	6	missing	miss	VERB
cana-1311	61	7	data	datum	NOUN
cana-1311	61	8	and	and	CCONJ
cana-1311	61	9	the	the	DET
cana-1311	61	10	result	result	NOUN
cana-1311	61	11	showed	show	VERB
cana-1311	61	12	that	that	SCONJ
cana-1311	61	13	ann	ann	PROPN
cana-1311	61	14	(	(	PUNCT
cana-1311	61	15	mlp	mlp	PROPN
cana-1311	61	16	)	)	PUNCT
cana-1311	61	17	was	be	AUX
cana-1311	61	18	the	the	DET
cana-1311	61	19	best	good	ADJ
cana-1311	61	20	predictive	predictive	ADJ
cana-1311	61	21	performance	performance	NOUN
cana-1311	61	22	compared	compare	VERB
cana-1311	61	23	to	to	ADP
cana-1311	61	24	mlr	mlr	NOUN
cana-1311	61	25	and	and	CCONJ
cana-1311	61	26	cart	cart	NOUN
cana-1311	61	27	models	model	NOUN
cana-1311	61	28	for	for	ADP
cana-1311	61	29	forecasting	forecast	VERB
cana-1311	61	30	pm10	pm10	PROPN
cana-1311	61	31	concentrations	concentration	NOUN
cana-1311	61	32	.	.	PUNCT
cana-1311	62	1	this	this	PRON
cana-1311	62	2	suggested	suggest	VERB
cana-1311	62	3	that	that	SCONJ
cana-1311	62	4	the	the	DET
cana-1311	62	5	non	non	ADJ
cana-1311	62	6	-	-	ADJ
cana-1311	62	7	linear	linear	ADJ
cana-1311	62	8	algorithms	algorithm	NOUN
cana-1311	62	9	like	like	ADP
cana-1311	62	10	ann	ann	PROPN
cana-1311	62	11	can	can	AUX
cana-1311	62	12	provide	provide	VERB
cana-1311	62	13	better	well	ADJ
cana-1311	62	14	predictive	predictive	ADJ
cana-1311	62	15	insights	insight	NOUN
cana-1311	62	16	for	for	ADP
cana-1311	62	17	air	air	NOUN
cana-1311	62	18	quality	quality	NOUN
cana-1311	62	19	forecasting	forecasting	NOUN
cana-1311	62	20	,	,	PUNCT
cana-1311	62	21	aiding	aid	VERB
cana-1311	62	22	policymakers	policymaker	NOUN
cana-1311	62	23	in	in	ADP
cana-1311	62	24	decision	decision	NOUN
cana-1311	62	25	-	-	PUNCT
cana-1311	62	26	making	make	VERB
cana-1311	62	27	processes	process	NOUN
cana-1311	62	28	.	.	PUNCT
cana-1311	63	1	the	the	DET
cana-1311	63	2	research	research	NOUN
cana-1311	63	3	did	do	AUX
cana-1311	63	4	not	not	PART
cana-1311	63	5	delve	delve	VERB
cana-1311	63	6	into	into	ADP
cana-1311	63	7	the	the	DET
cana-1311	63	8	potential	potential	ADJ
cana-1311	63	9	interactions	interaction	NOUN
cana-1311	63	10	between	between	ADP
cana-1311	63	11	different	different	ADJ
cana-1311	63	12	pollutants	pollutant	NOUN
cana-1311	63	13	like	like	ADP
cana-1311	63	14	co	co	NOUN
cana-1311	63	15	,	,	PUNCT
cana-1311	63	16	no2	no2	PROPN
cana-1311	63	17	,	,	PUNCT
cana-1311	63	18	so2	so2	PROPN
cana-1311	63	19	and	and	CCONJ
cana-1311	63	20	their	their	PRON
cana-1311	63	21	combined	combine	VERB
cana-1311	63	22	effects	effect	NOUN
cana-1311	63	23	on	on	ADP
cana-1311	63	24	pm10	pm10	PROPN
cana-1311	63	25	concentrations	concentration	NOUN
cana-1311	63	26	,	,	PUNCT
cana-1311	63	27	which	which	PRON
cana-1311	63	28	could	could	AUX
cana-1311	63	29	provide	provide	VERB
cana-1311	63	30	a	a	DET
cana-1311	63	31	more	more	ADV
cana-1311	63	32	comprehensive	comprehensive	ADJ
cana-1311	63	33	understanding	understanding	NOUN
cana-1311	63	34	of	of	ADP
cana-1311	63	35	air	air	NOUN
cana-1311	63	36	quality	quality	NOUN
cana-1311	63	37	dynamics	dynamic	NOUN
cana-1311	63	38	.	.	PUNCT
cana-1311	64	1	k.	k.	PROPN
cana-1311	64	2	kumar	kumar	PROPN
cana-1311	64	3	&	&	CCONJ
cana-1311	64	4	pande	pande	PROPN
cana-1311	64	5	(	(	PUNCT
cana-1311	64	6	2023	2023	NUM
cana-1311	64	7	)	)	PUNCT
cana-1311	64	8	highlighted	highlight	VERB
cana-1311	64	9	the	the	DET
cana-1311	64	10	crucial	crucial	ADJ
cana-1311	64	11	need	need	NOUN
cana-1311	64	12	for	for	ADP
cana-1311	64	13	monitoring	monitoring	NOUN
cana-1311	64	14	and	and	CCONJ
cana-1311	64	15	predicting	predict	VERB
cana-1311	64	16	air	air	NOUN
cana-1311	64	17	quality	quality	NOUN
cana-1311	64	18	,	,	PUNCT
cana-1311	64	19	attributing	attribute	VERB
cana-1311	64	20	to	to	ADP
cana-1311	64	21	the	the	DET
cana-1311	64	22	harmful	harmful	ADJ
cana-1311	64	23	impacts	impact	NOUN
cana-1311	64	24	of	of	ADP
cana-1311	64	25	industrial	industrial	ADJ
cana-1311	64	26	,	,	PUNCT
cana-1311	64	27	transportation	transportation	NOUN
cana-1311	64	28	and	and	CCONJ
cana-1311	64	29	household	household	NOUN
cana-1311	64	30	operations	operation	NOUN
cana-1311	64	31	on	on	ADP
cana-1311	64	32	the	the	DET
cana-1311	64	33	environment	environment	NOUN
cana-1311	64	34	[	[	X
cana-1311	64	35	29	29	NUM
cana-1311	64	36	]	]	PUNCT
cana-1311	64	37	.	.	PUNCT
cana-1311	65	1	this	this	DET
cana-1311	65	2	research	research	NOUN
cana-1311	65	3	analysed	analyse	VERB
cana-1311	65	4	atmospheric	atmospheric	ADJ
cana-1311	65	5	quality	quality	NOUN
cana-1311	65	6	data	datum	NOUN
cana-1311	65	7	collected	collect	VERB
cana-1311	65	8	over	over	ADP
cana-1311	65	9	six	six	NUM
cana-1311	65	10	years	year	NOUN
cana-1311	65	11	from	from	ADP
cana-1311	65	12	23	23	NUM
cana-1311	65	13	urban	urban	ADJ
cana-1311	65	14	centres	centre	NOUN
cana-1311	65	15	in	in	ADP
cana-1311	65	16	indian	indian	NOUN
cana-1311	65	17	using	use	VERB
cana-1311	65	18	ml	ml	ADP
cana-1311	65	19	techniques	technique	NOUN
cana-1311	65	20	for	for	ADP
cana-1311	65	21	prediction	prediction	NOUN
cana-1311	65	22	.	.	PUNCT
cana-1311	66	1	data	datum	NOUN
cana-1311	66	2	pre	pre	ADJ
cana-1311	66	3	-	-	ADJ
cana-1311	66	4	processing	processing	ADJ
cana-1311	66	5	,	,	PUNCT
cana-1311	66	6	feature	feature	NOUN
cana-1311	66	7	selection	selection	NOUN
cana-1311	66	8	,	,	PUNCT
cana-1311	66	9	exploratory	exploratory	ADJ
cana-1311	66	10	data	datum	NOUN
cana-1311	66	11	analysis	analysis	NOUN
cana-1311	66	12	and	and	CCONJ
cana-1311	66	13	resampling	resample	VERB
cana-1311	66	14	techniques	technique	NOUN
cana-1311	66	15	were	be	AUX
cana-1311	66	16	employed	employ	VERB
cana-1311	66	17	to	to	PART
cana-1311	66	18	address	address	VERB
cana-1311	66	19	data	datum	NOUN
cana-1311	66	20	imbalance	imbalance	NOUN
cana-1311	66	21	.	.	PUNCT
cana-1311	67	1	ml	ml	ADP
cana-1311	67	2	communications	communication	NOUN
cana-1311	67	3	on	on	ADP
cana-1311	67	4	applied	apply	VERB
cana-1311	67	5	nonlinear	nonlinear	ADJ
cana-1311	67	6	analysis	analysis	NOUN
cana-1311	67	7	issn	issn	NOUN
cana-1311	67	8	:	:	PUNCT
cana-1311	67	9	1074	1074	NUM
cana-1311	67	10	-	-	PUNCT
cana-1311	67	11	133x	133x	NUM
cana-1311	67	12	vol	vol	NOUN
cana-1311	67	13	31	31	NUM
cana-1311	67	14	no	no	NOUN
cana-1311	67	15	.	.	PUNCT
cana-1311	68	1	7s	7	NOUN
cana-1311	68	2	(	(	PUNCT
cana-1311	68	3	2024	2024	NUM
cana-1311	68	4	)	)	PUNCT
cana-1311	68	5	331	331	NUM
cana-1311	68	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	68	7	models	model	NOUN
cana-1311	68	8	had	have	AUX
cana-1311	68	9	been	be	AUX
cana-1311	68	10	utilized	utilize	VERB
cana-1311	68	11	,	,	PUNCT
cana-1311	68	12	including	include	VERB
cana-1311	68	13	gaussian	gaussian	ADJ
cana-1311	68	14	naive	naive	ADJ
cana-1311	68	15	bayes	bayes	NOUN
cana-1311	68	16	,	,	PUNCT
cana-1311	68	17	svr	svr	PROPN
cana-1311	68	18	and	and	CCONJ
cana-1311	68	19	xgboost	xgboost	ADV
cana-1311	68	20	for	for	ADP
cana-1311	68	21	prediction	prediction	NOUN
cana-1311	68	22	with	with	ADP
cana-1311	68	23	xgboost	xgboost	PROPN
cana-1311	68	24	model	model	NOUN
cana-1311	68	25	which	which	PRON
cana-1311	68	26	outperformed	outperform	VERB
cana-1311	68	27	other	other	ADJ
cana-1311	68	28	models	model	NOUN
cana-1311	68	29	.	.	PUNCT
cana-1311	69	1	the	the	DET
cana-1311	69	2	paper	paper	NOUN
cana-1311	69	3	acknowledged	acknowledge	VERB
cana-1311	69	4	data	datum	NOUN
cana-1311	69	5	imbalance	imbalance	NOUN
cana-1311	69	6	problem	problem	NOUN
cana-1311	69	7	and	and	CCONJ
cana-1311	69	8	addressed	address	VERB
cana-1311	69	9	it	it	PRON
cana-1311	69	10	with	with	ADP
cana-1311	69	11	resampling	resample	VERB
cana-1311	69	12	techniques	technique	NOUN
cana-1311	69	13	,	,	PUNCT
cana-1311	69	14	but	but	CCONJ
cana-1311	69	15	the	the	DET
cana-1311	69	16	effectiveness	effectiveness	NOUN
cana-1311	69	17	of	of	ADP
cana-1311	69	18	this	this	DET
cana-1311	69	19	approach	approach	NOUN
cana-1311	69	20	in	in	ADP
cana-1311	69	21	all	all	DET
cana-1311	69	22	scenarios	scenario	NOUN
cana-1311	69	23	was	be	AUX
cana-1311	69	24	not	not	PART
cana-1311	69	25	extensively	extensively	ADV
cana-1311	69	26	discussed	discuss	VERB
cana-1311	69	27	.	.	PUNCT
cana-1311	70	1	medhi	medhi	PROPN
cana-1311	70	2	&	&	CCONJ
cana-1311	70	3	gogoi	gogoi	PROPN
cana-1311	70	4	(	(	PUNCT
cana-1311	70	5	2021	2021	NUM
cana-1311	70	6	)	)	PUNCT
cana-1311	70	7	analysed	analyse	VERB
cana-1311	70	8	pm2.5	pm2.5	ADJ
cana-1311	70	9	concentrations	concentration	NOUN
cana-1311	70	10	in	in	ADP
cana-1311	70	11	guwahati	guwahati	NOUN
cana-1311	70	12	city	city	NOUN
cana-1311	71	1	[	[	X
cana-1311	71	2	36	36	NUM
cana-1311	71	3	]	]	PUNCT
cana-1311	71	4	before	before	SCONJ
cana-1311	71	5	and	and	CCONJ
cana-1311	71	6	after	after	ADP
cana-1311	71	7	the	the	DET
cana-1311	71	8	lockdown	lockdown	NOUN
cana-1311	71	9	using	use	VERB
cana-1311	71	10	a	a	DET
cana-1311	71	11	visualization	visualization	NOUN
cana-1311	71	12	algorithm	algorithm	NOUN
cana-1311	71	13	namely	namely	ADV
cana-1311	71	14	like	like	ADP
cana-1311	71	15	time	time	NOUN
cana-1311	71	16	plots	plot	NOUN
cana-1311	71	17	,	,	PUNCT
cana-1311	71	18	heat	heat	NOUN
cana-1311	71	19	maps	map	NOUN
cana-1311	71	20	,	,	PUNCT
cana-1311	71	21	line	line	NOUN
cana-1311	71	22	charts	chart	NOUN
cana-1311	71	23	and	and	CCONJ
cana-1311	71	24	pie	pie	NOUN
cana-1311	71	25	charts	chart	NOUN
cana-1311	71	26	were	be	AUX
cana-1311	71	27	employed	employ	VERB
cana-1311	71	28	to	to	PART
cana-1311	71	29	represent	represent	VERB
cana-1311	71	30	and	and	CCONJ
cana-1311	71	31	analyse	analyse	VERB
cana-1311	71	32	the	the	DET
cana-1311	71	33	data	datum	NOUN
cana-1311	71	34	effectively	effectively	ADV
cana-1311	71	35	.	.	PUNCT
cana-1311	72	1	the	the	DET
cana-1311	72	2	result	result	NOUN
cana-1311	72	3	showed	show	VERB
cana-1311	72	4	that	that	SCONJ
cana-1311	72	5	the	the	DET
cana-1311	72	6	levels	level	NOUN
cana-1311	72	7	of	of	ADP
cana-1311	72	8	pm2.5	pm2.5	PROPN
cana-1311	72	9	decreased	decrease	VERB
cana-1311	72	10	during	during	ADP
cana-1311	72	11	the	the	DET
cana-1311	72	12	lockdown	lockdown	NOUN
cana-1311	72	13	period	period	NOUN
cana-1311	72	14	,	,	PUNCT
cana-1311	72	15	indicating	indicate	VERB
cana-1311	72	16	an	an	DET
cana-1311	72	17	improvement	improvement	NOUN
cana-1311	72	18	in	in	ADP
cana-1311	72	19	air	air	NOUN
cana-1311	72	20	quality	quality	NOUN
cana-1311	72	21	compared	compare	VERB
cana-1311	72	22	to	to	ADP
cana-1311	72	23	previous	previous	ADJ
cana-1311	72	24	years	year	NOUN
cana-1311	72	25	.	.	PUNCT
cana-1311	73	1	this	this	DET
cana-1311	73	2	study	study	NOUN
cana-1311	73	3	did	do	AUX
cana-1311	73	4	not	not	PART
cana-1311	73	5	delve	delve	VERB
cana-1311	73	6	into	into	ADP
cana-1311	73	7	the	the	DET
cana-1311	73	8	specific	specific	ADJ
cana-1311	73	9	sources	source	NOUN
cana-1311	73	10	of	of	ADP
cana-1311	73	11	pm2.5	pm2.5	DET
cana-1311	73	12	pollution	pollution	NOUN
cana-1311	73	13	in	in	ADP
cana-1311	73	14	guwahati	guwahati	PROPN
cana-1311	73	15	city	city	PROPN
cana-1311	73	16	,	,	PUNCT
cana-1311	73	17	which	which	PRON
cana-1311	73	18	could	could	AUX
cana-1311	73	19	be	be	AUX
cana-1311	73	20	a	a	DET
cana-1311	73	21	focus	focus	NOUN
cana-1311	73	22	for	for	ADP
cana-1311	73	23	future	future	ADJ
cana-1311	73	24	research	research	NOUN
cana-1311	73	25	.	.	PUNCT
cana-1311	74	1	zhou	zhou	PROPN
cana-1311	74	2	et	et	PROPN
cana-1311	74	3	al	al	PROPN
cana-1311	74	4	.	.	PROPN
cana-1311	75	1	(	(	PUNCT
cana-1311	75	2	2018	2018	NUM
cana-1311	75	3	)	)	PUNCT
cana-1311	75	4	introduced	introduce	VERB
cana-1311	75	5	an	an	DET
cana-1311	75	6	integrated	integrate	VERB
cana-1311	75	7	framework	framework	NOUN
cana-1311	75	8	for	for	ADP
cana-1311	75	9	characterizing	characterize	VERB
cana-1311	75	10	and	and	CCONJ
cana-1311	75	11	predicting	predict	VERB
cana-1311	75	12	aqi	aqi	PROPN
cana-1311	75	13	,	,	PUNCT
cana-1311	75	14	considering	consider	VERB
cana-1311	75	15	individual	individual	ADJ
cana-1311	75	16	pollutant	pollutant	ADJ
cana-1311	75	17	concentrations	concentration	NOUN
cana-1311	75	18	for	for	ADP
cana-1311	75	19	accurate	accurate	ADJ
cana-1311	75	20	aqi	aqi	NOUN
cana-1311	75	21	estimation	estimation	NOUN
cana-1311	75	22	[	[	X
cana-1311	75	23	52	52	NUM
cana-1311	75	24	]	]	PUNCT
cana-1311	75	25	.	.	PUNCT
cana-1311	76	1	narx	narx	PROPN
cana-1311	76	2	(	(	PUNCT
cana-1311	76	3	non	non	ADJ
cana-1311	76	4	-	-	ADJ
cana-1311	76	5	linear	linear	ADJ
cana-1311	76	6	autoregressive	autoregressive	ADJ
cana-1311	76	7	neural	neural	ADJ
cana-1311	76	8	network	network	NOUN
cana-1311	76	9	with	with	ADP
cana-1311	76	10	exogenous	exogenous	ADJ
cana-1311	76	11	input	input	NOUN
cana-1311	76	12	)	)	PUNCT
cana-1311	76	13	was	be	AUX
cana-1311	76	14	employed	employ	VERB
cana-1311	76	15	and	and	CCONJ
cana-1311	76	16	the	the	DET
cana-1311	76	17	outcome	outcome	NOUN
cana-1311	76	18	revealed	reveal	VERB
cana-1311	76	19	the	the	DET
cana-1311	76	20	improvements	improvement	NOUN
cana-1311	76	21	in	in	ADP
cana-1311	76	22	rmse	rmse	NOUN
cana-1311	76	23	and	and	CCONJ
cana-1311	76	24	mape	mape	NOUN
cana-1311	76	25	values	value	NOUN
cana-1311	76	26	compared	compare	VERB
cana-1311	76	27	to	to	ADP
cana-1311	76	28	alternative	alternative	ADJ
cana-1311	76	29	modelling	modelling	NOUN
cana-1311	76	30	techniques	technique	NOUN
cana-1311	76	31	.	.	PUNCT
cana-1311	77	1	this	this	DET
cana-1311	77	2	study	study	NOUN
cana-1311	77	3	demonstrated	demonstrate	VERB
cana-1311	77	4	the	the	DET
cana-1311	77	5	effectiveness	effectiveness	NOUN
cana-1311	77	6	of	of	ADP
cana-1311	77	7	narx	narx	NOUN
cana-1311	77	8	model	model	NOUN
cana-1311	77	9	in	in	ADP
cana-1311	77	10	predicting	predict	VERB
cana-1311	77	11	aqi	aqi	PROPN
cana-1311	77	12	based	base	VERB
cana-1311	77	13	on	on	ADP
cana-1311	77	14	pollutant	pollutant	ADJ
cana-1311	77	15	and	and	CCONJ
cana-1311	77	16	meteorology	meteorology	NOUN
cana-1311	77	17	data	datum	NOUN
cana-1311	77	18	,	,	PUNCT
cana-1311	77	19	showcasing	showcase	VERB
cana-1311	77	20	improved	improved	ADJ
cana-1311	77	21	performance	performance	NOUN
cana-1311	77	22	over	over	ADP
cana-1311	77	23	existing	exist	VERB
cana-1311	77	24	methods	method	NOUN
cana-1311	77	25	.	.	PUNCT
cana-1311	78	1	ameer	ameer	PROPN
cana-1311	78	2	et	et	PROPN
cana-1311	78	3	al	al	PROPN
cana-1311	78	4	.	.	PROPN
cana-1311	79	1	(	(	PUNCT
cana-1311	79	2	2019	2019	NUM
cana-1311	79	3	)	)	PUNCT
cana-1311	79	4	used	use	VERB
cana-1311	79	5	advanced	advanced	ADJ
cana-1311	79	6	regression	regression	NOUN
cana-1311	79	7	techniques	technique	NOUN
cana-1311	79	8	for	for	ADP
cana-1311	79	9	predicting	predict	VERB
cana-1311	79	10	air	air	NOUN
cana-1311	79	11	pollution	pollution	NOUN
cana-1311	79	12	[	[	X
cana-1311	79	13	4	4	NUM
cana-1311	79	14	]	]	PUNCT
cana-1311	79	15	and	and	CCONJ
cana-1311	79	16	compared	compare	VERB
cana-1311	79	17	their	their	PRON
cana-1311	79	18	performance	performance	NOUN
cana-1311	79	19	based	base	VERB
cana-1311	79	20	on	on	ADP
cana-1311	79	21	mae	mae	PROPN
cana-1311	79	22	and	and	CCONJ
cana-1311	79	23	rmse	rmse	PROPN
cana-1311	79	24	.	.	PUNCT
cana-1311	80	1	experiments	experiment	NOUN
cana-1311	80	2	were	be	AUX
cana-1311	80	3	performed	perform	VERB
cana-1311	80	4	using	use	VERB
cana-1311	80	5	apache	apache	NOUN
cana-1311	80	6	spark	spark	NOUN
cana-1311	80	7	for	for	ADP
cana-1311	80	8	pollution	pollution	NOUN
cana-1311	80	9	estimation	estimation	NOUN
cana-1311	80	10	with	with	ADP
cana-1311	80	11	multiple	multiple	ADJ
cana-1311	80	12	datasets	dataset	NOUN
cana-1311	80	13	,	,	PUNCT
cana-1311	80	14	evaluating	evaluate	VERB
cana-1311	80	15	processing	processing	NOUN
cana-1311	80	16	time	time	NOUN
cana-1311	80	17	and	and	CCONJ
cana-1311	80	18	error	error	NOUN
cana-1311	80	19	rates	rate	NOUN
cana-1311	80	20	.	.	PUNCT
cana-1311	81	1	the	the	DET
cana-1311	81	2	evaluation	evaluation	NOUN
cana-1311	81	3	showed	show	VERB
cana-1311	81	4	that	that	SCONJ
cana-1311	81	5	random	random	ADJ
cana-1311	81	6	forest	forest	NOUN
cana-1311	81	7	regression	regression	NOUN
cana-1311	81	8	technique	technique	NOUN
cana-1311	81	9	achieved	achieve	VERB
cana-1311	81	10	the	the	DET
cana-1311	81	11	lowest	low	ADJ
cana-1311	81	12	error	error	NOUN
cana-1311	81	13	rates	rate	NOUN
cana-1311	81	14	compared	compare	VERB
cana-1311	81	15	to	to	ADP
cana-1311	81	16	other	other	ADJ
cana-1311	81	17	methods	method	NOUN
cana-1311	81	18	for	for	ADP
cana-1311	81	19	most	most	ADJ
cana-1311	81	20	datasets	dataset	NOUN
cana-1311	81	21	.	.	PUNCT
cana-1311	82	1	s.	s.	PROPN
cana-1311	82	2	zhu	zhu	PROPN
cana-1311	82	3	&	&	CCONJ
cana-1311	82	4	x.	x.	PROPN
cana-1311	82	5	lian	lian	PROPN
cana-1311	82	6	(	(	PUNCT
cana-1311	82	7	2017	2017	NUM
cana-1311	82	8	)	)	PUNCT
cana-1311	82	9	applied	apply	VERB
cana-1311	82	10	mixed	mixed	ADJ
cana-1311	82	11	models	model	NOUN
cana-1311	82	12	,	,	PUNCT
cana-1311	82	13	emdsvr	emdsvr	NOUN
cana-1311	82	14	-	-	PUNCT
cana-1311	82	15	hybrid	hybrid	NOUN
cana-1311	82	16	and	and	CCONJ
cana-1311	82	17	emd	emd	PROPN
cana-1311	82	18	-	-	PUNCT
cana-1311	82	19	imfs	imfs	NOUN
cana-1311	82	20	-	-	PUNCT
cana-1311	82	21	hybrid	hybrid	NOUN
cana-1311	82	22	[	[	X
cana-1311	82	23	53	53	NUM
cana-1311	82	24	]	]	PUNCT
cana-1311	82	25	,	,	PUNCT
cana-1311	82	26	which	which	PRON
cana-1311	82	27	utilized	utilize	VERB
cana-1311	82	28	emd	emd	PROPN
cana-1311	82	29	for	for	ADP
cana-1311	82	30	data	datum	NOUN
cana-1311	82	31	cleaning	cleaning	NOUN
cana-1311	82	32	and	and	CCONJ
cana-1311	82	33	ls	l	NOUN
cana-1311	82	34	-	-	PUNCT
cana-1311	82	35	svr	svr	NOUN
cana-1311	82	36	for	for	ADP
cana-1311	82	37	forecasting	forecast	VERB
cana-1311	82	38	the	the	DET
cana-1311	82	39	sum	sum	NOUN
cana-1311	82	40	of	of	ADP
cana-1311	82	41	imfs	imfs	PROPN
cana-1311	82	42	,	,	PUNCT
cana-1311	82	43	followed	follow	VERB
cana-1311	82	44	by	by	ADP
cana-1311	82	45	s	s	NOUN
cana-1311	82	46	-	-	NOUN
cana-1311	82	47	arima	arima	NOUN
cana-1311	82	48	for	for	ADP
cana-1311	82	49	residual	residual	ADJ
cana-1311	82	50	sequence	sequence	NOUN
cana-1311	82	51	forecasting	forecasting	NOUN
cana-1311	82	52	.	.	PUNCT
cana-1311	83	1	the	the	DET
cana-1311	83	2	results	result	NOUN
cana-1311	83	3	demonstrated	demonstrate	VERB
cana-1311	83	4	the	the	DET
cana-1311	83	5	superiority	superiority	NOUN
cana-1311	83	6	of	of	ADP
cana-1311	83	7	emd	emd	PROPN
cana-1311	83	8	-	-	PUNCT
cana-1311	83	9	svr	svr	NOUN
cana-1311	83	10	-	-	PUNCT
cana-1311	83	11	hybrid	hybrid	NOUN
cana-1311	83	12	and	and	CCONJ
cana-1311	83	13	emd	emd	PROPN
cana-1311	83	14	-	-	PUNCT
cana-1311	83	15	imfs	imfs	NOUN
cana-1311	83	16	-	-	PUNCT
cana-1311	83	17	hybrid	hybrid	ADJ
cana-1311	83	18	models	model	NOUN
cana-1311	83	19	over	over	ADP
cana-1311	83	20	svr	svr	PROPN
cana-1311	83	21	,	,	PUNCT
cana-1311	83	22	arima	arima	PROPN
cana-1311	83	23	,	,	PUNCT
cana-1311	83	24	grnn	grnn	NOUN
cana-1311	83	25	and	and	CCONJ
cana-1311	83	26	other	other	ADJ
cana-1311	83	27	methods	method	NOUN
cana-1311	83	28	in	in	ADP
cana-1311	83	29	forecasting	forecast	VERB
cana-1311	83	30	aqi	aqi	PROPN
cana-1311	83	31	data	datum	NOUN
cana-1311	83	32	.	.	PUNCT
cana-1311	84	1	in	in	ADP
cana-1311	84	2	this	this	DET
cana-1311	84	3	study	study	NOUN
cana-1311	84	4	,	,	PUNCT
cana-1311	84	5	the	the	DET
cana-1311	84	6	effectiveness	effectiveness	NOUN
cana-1311	84	7	of	of	ADP
cana-1311	84	8	hybrid	hybrid	NOUN
cana-1311	84	9	models	model	NOUN
cana-1311	84	10	might	might	AUX
cana-1311	84	11	vary	vary	VERB
cana-1311	84	12	according	accord	VERB
cana-1311	84	13	to	to	ADP
cana-1311	84	14	the	the	DET
cana-1311	84	15	characteristics	characteristic	NOUN
cana-1311	84	16	of	of	ADP
cana-1311	84	17	air	air	NOUN
cana-1311	84	18	quality	quality	NOUN
cana-1311	84	19	data	datum	NOUN
cana-1311	84	20	in	in	ADP
cana-1311	84	21	different	different	ADJ
cana-1311	84	22	locations	location	NOUN
cana-1311	84	23	and	and	CCONJ
cana-1311	84	24	computational	computational	ADJ
cana-1311	84	25	complexity	complexity	NOUN
cana-1311	84	26	or	or	CCONJ
cana-1311	84	27	scalability	scalability	NOUN
cana-1311	84	28	of	of	ADP
cana-1311	84	29	the	the	DET
cana-1311	84	30	proposed	propose	VERB
cana-1311	84	31	hybrid	hybrid	NOUN
cana-1311	84	32	models	model	NOUN
cana-1311	84	33	were	be	AUX
cana-1311	84	34	not	not	PART
cana-1311	84	35	resolved	resolve	VERB
cana-1311	84	36	.	.	PUNCT
cana-1311	85	1	saikiran	saikiran	PROPN
cana-1311	85	2	et	et	PROPN
cana-1311	85	3	al	al	PROPN
cana-1311	85	4	.	.	PROPN
cana-1311	86	1	(	(	PUNCT
cana-1311	86	2	2021	2021	NUM
cana-1311	86	3	)	)	PUNCT
cana-1311	86	4	focused	focus	VERB
cana-1311	86	5	on	on	ADP
cana-1311	86	6	supervised	supervised	ADJ
cana-1311	86	7	ml	ml	NUM
cana-1311	86	8	algorithms	algorithm	NOUN
cana-1311	86	9	[	[	X
cana-1311	86	10	44	44	NUM
cana-1311	86	11	]	]	PUNCT
cana-1311	86	12	such	such	ADJ
cana-1311	86	13	as	as	ADP
cana-1311	86	14	linear	linear	PROPN
cana-1311	86	15	regression	regression	NOUN
cana-1311	86	16	,	,	PUNCT
cana-1311	86	17	svr	svr	PROPN
cana-1311	86	18	and	and	CCONJ
cana-1311	86	19	rf	rf	VERB
cana-1311	86	20	to	to	PART
cana-1311	86	21	predict	predict	VERB
cana-1311	86	22	aqi	aqi	NOUN
cana-1311	86	23	with	with	ADP
cana-1311	86	24	random	random	ADJ
cana-1311	86	25	forest	forest	NOUN
cana-1311	86	26	showing	show	VERB
cana-1311	86	27	higher	high	ADJ
cana-1311	86	28	accuracy	accuracy	NOUN
cana-1311	86	29	due	due	ADP
cana-1311	86	30	to	to	PART
cana-1311	86	31	lower	low	ADJ
cana-1311	86	32	over	over	ADP
cana-1311	86	33	fitting	fitting	ADJ
cana-1311	86	34	.	.	PUNCT
cana-1311	87	1	liang	liang	PROPN
cana-1311	87	2	et	et	PROPN
cana-1311	87	3	al	al	PROPN
cana-1311	87	4	.	.	PROPN
cana-1311	87	5	(	(	PUNCT
cana-1311	87	6	2020	2020	NUM
cana-1311	87	7	)	)	PUNCT
cana-1311	87	8	focused	focus	VERB
cana-1311	87	9	on	on	ADP
cana-1311	87	10	predicting	predict	VERB
cana-1311	87	11	air	air	NOUN
cana-1311	87	12	quality	quality	NOUN
cana-1311	87	13	using	use	VERB
cana-1311	87	14	machine	machine	NOUN
cana-1311	87	15	learning	learning	NOUN
cana-1311	87	16	[	[	X
cana-1311	87	17	30	30	NUM
cana-1311	87	18	]	]	X
cana-1311	87	19	like	like	ADP
cana-1311	87	20	adaboost	adaboost	ADV
cana-1311	87	21	,	,	PUNCT
cana-1311	87	22	ann	ann	PROPN
cana-1311	87	23	,	,	PUNCT
cana-1311	87	24	random	random	ADJ
cana-1311	87	25	forest	forest	NOUN
cana-1311	87	26	,	,	PUNCT
cana-1311	87	27	stacking	stack	VERB
cana-1311	87	28	ensemble	ensemble	ADJ
cana-1311	87	29	and	and	CCONJ
cana-1311	87	30	svm	svm	ADJ
cana-1311	87	31	models	model	NOUN
cana-1311	87	32	based	base	VERB
cana-1311	87	33	on	on	ADP
cana-1311	87	34	11	11	NUM
cana-1311	87	35	years	year	NOUN
cana-1311	87	36	dataset	dataset	VERB
cana-1311	87	37	from	from	ADP
cana-1311	87	38	tepa	tepa	NOUN
cana-1311	87	39	(	(	PUNCT
cana-1311	87	40	taiwan	taiwan	PROPN
cana-1311	87	41	environmental	environmental	PROPN
cana-1311	87	42	protection	protection	PROPN
cana-1311	87	43	agency	agency	PROPN
cana-1311	87	44	)	)	PUNCT
cana-1311	87	45	.	.	PUNCT
cana-1311	88	1	the	the	DET
cana-1311	88	2	analysis	analysis	NOUN
cana-1311	88	3	of	of	ADP
cana-1311	88	4	the	the	DET
cana-1311	88	5	result	result	NOUN
cana-1311	88	6	depicted	depict	VERB
cana-1311	88	7	that	that	SCONJ
cana-1311	88	8	stacking	stack	VERB
cana-1311	88	9	ensemble	ensemble	ADJ
cana-1311	88	10	outperformed	outperform	VERB
cana-1311	88	11	all	all	DET
cana-1311	88	12	other	other	ADJ
cana-1311	88	13	models	model	NOUN
cana-1311	88	14	in	in	ADP
cana-1311	88	15	terms	term	NOUN
cana-1311	88	16	of	of	ADP
cana-1311	88	17	r	r	NOUN
cana-1311	88	18	2	2	NUM
cana-1311	88	19	and	and	CCONJ
cana-1311	88	20	rmse	rmse	NOUN
cana-1311	88	21	,	,	PUNCT
cana-1311	88	22	while	while	SCONJ
cana-1311	88	23	adaboost	adaboost	ADV
cana-1311	88	24	had	have	VERB
cana-1311	88	25	the	the	DET
cana-1311	88	26	highest	high	ADJ
cana-1311	88	27	score	score	NOUN
cana-1311	88	28	in	in	ADP
cana-1311	88	29	mae	mae	PROPN
cana-1311	88	30	,	,	PUNCT
cana-1311	88	31	rf	rf	PROPN
cana-1311	88	32	and	and	CCONJ
cana-1311	88	33	ann	ann	PROPN
cana-1311	88	34	surpassed	surpass	VERB
cana-1311	88	35	svm	svm	NOUN
cana-1311	88	36	for	for	ADP
cana-1311	88	37	r	r	NOUN
cana-1311	88	38	2	2	NUM
cana-1311	88	39	score	score	NOUN
cana-1311	88	40	.	.	PUNCT
cana-1311	89	1	the	the	DET
cana-1311	89	2	limited	limited	ADJ
cana-1311	89	3	longitudinal	longitudinal	ADJ
cana-1311	89	4	data	datum	NOUN
cana-1311	89	5	might	might	AUX
cana-1311	89	6	affect	affect	VERB
cana-1311	89	7	the	the	DET
cana-1311	89	8	model	model	NOUN
cana-1311	89	9	capacity	capacity	NOUN
cana-1311	89	10	to	to	PART
cana-1311	89	11	seasonal	seasonal	ADJ
cana-1311	89	12	and	and	CCONJ
cana-1311	89	13	other	other	ADJ
cana-1311	89	14	factors	factor	NOUN
cana-1311	89	15	,	,	PUNCT
cana-1311	89	16	potentially	potentially	ADV
cana-1311	89	17	leading	lead	VERB
cana-1311	89	18	to	to	ADP
cana-1311	89	19	the	the	DET
cana-1311	89	20	performance	performance	NOUN
cana-1311	89	21	decay	decay	NOUN
cana-1311	89	22	with	with	ADP
cana-1311	89	23	increased	increase	VERB
cana-1311	89	24	time	time	NOUN
cana-1311	89	25	steps	step	NOUN
cana-1311	89	26	in	in	ADP
cana-1311	89	27	certain	certain	ADJ
cana-1311	89	28	regions	region	NOUN
cana-1311	89	29	which	which	PRON
cana-1311	89	30	could	could	AUX
cana-1311	89	31	affect	affect	VERB
cana-1311	89	32	the	the	DET
cana-1311	89	33	long	long	ADJ
cana-1311	89	34	-	-	PUNCT
cana-1311	89	35	term	term	NOUN
cana-1311	89	36	forecasting	forecasting	NOUN
cana-1311	89	37	accuracy	accuracy	NOUN
cana-1311	89	38	.	.	PUNCT
cana-1311	90	1	mahalingam	mahalingam	NOUN
cana-1311	90	2	et	et	PROPN
cana-1311	90	3	al	al	PROPN
cana-1311	90	4	.	.	PROPN
cana-1311	91	1	(	(	PUNCT
cana-1311	91	2	2019	2019	NUM
cana-1311	91	3	)	)	PUNCT
cana-1311	91	4	employed	employ	VERB
cana-1311	91	5	svm	svm	NOUN
cana-1311	91	6	and	and	CCONJ
cana-1311	91	7	ann	ann	PROPN
cana-1311	92	1	[	[	X
cana-1311	92	2	33	33	NUM
cana-1311	92	3	]	]	PUNCT
cana-1311	92	4	to	to	PART
cana-1311	92	5	predict	predict	VERB
cana-1311	92	6	delhi	delhi	PROPN
cana-1311	92	7	aqi	aqi	PROPN
cana-1311	92	8	.	.	PUNCT
cana-1311	93	1	kernel	kernel	PROPN
cana-1311	93	2	methods	method	NOUN
cana-1311	93	3	were	be	AUX
cana-1311	93	4	used	use	VERB
cana-1311	93	5	for	for	ADP
cana-1311	93	6	identifying	identify	VERB
cana-1311	93	7	patterns	pattern	NOUN
cana-1311	93	8	and	and	CCONJ
cana-1311	93	9	performing	perform	VERB
cana-1311	93	10	classification	classification	NOUN
cana-1311	93	11	tasks	task	NOUN
cana-1311	93	12	.	.	PUNCT
cana-1311	94	1	this	this	DET
cana-1311	94	2	study	study	NOUN
cana-1311	94	3	relied	rely	VERB
cana-1311	94	4	on	on	ADP
cana-1311	94	5	historical	historical	ADJ
cana-1311	94	6	data	datum	NOUN
cana-1311	94	7	,	,	PUNCT
cana-1311	94	8	which	which	PRON
cana-1311	94	9	might	might	AUX
cana-1311	94	10	not	not	PART
cana-1311	94	11	account	account	VERB
cana-1311	94	12	for	for	ADP
cana-1311	94	13	real	real	ADJ
cana-1311	94	14	-	-	PUNCT
cana-1311	94	15	time	time	NOUN
cana-1311	94	16	fluctuations	fluctuation	NOUN
cana-1311	94	17	in	in	ADP
cana-1311	94	18	air	air	NOUN
cana-1311	94	19	quality	quality	NOUN
cana-1311	94	20	and	and	CCONJ
cana-1311	94	21	the	the	DET
cana-1311	94	22	model	model	NOUN
cana-1311	94	23	performance	performance	NOUN
cana-1311	94	24	could	could	AUX
cana-1311	94	25	be	be	AUX
cana-1311	94	26	influenced	influence	VERB
cana-1311	94	27	by	by	ADP
cana-1311	94	28	accessibility	accessibility	NOUN
cana-1311	94	29	and	and	CCONJ
cana-1311	94	30	quality	quality	NOUN
cana-1311	94	31	of	of	ADP
cana-1311	94	32	the	the	DET
cana-1311	94	33	data	datum	NOUN
cana-1311	94	34	.	.	PUNCT
cana-1311	95	1	communications	communication	NOUN
cana-1311	95	2	on	on	ADP
cana-1311	95	3	applied	apply	VERB
cana-1311	95	4	nonlinear	nonlinear	ADJ
cana-1311	95	5	analysis	analysis	NOUN
cana-1311	95	6	issn	issn	NOUN
cana-1311	95	7	:	:	PUNCT
cana-1311	95	8	1074	1074	NUM
cana-1311	95	9	-	-	PUNCT
cana-1311	95	10	133x	133x	NUM
cana-1311	95	11	vol	vol	NOUN
cana-1311	95	12	31	31	NUM
cana-1311	95	13	no	no	NOUN
cana-1311	95	14	.	.	PUNCT
cana-1311	96	1	7s	7	NOUN
cana-1311	96	2	(	(	PUNCT
cana-1311	96	3	2024	2024	NUM
cana-1311	96	4	)	)	PUNCT
cana-1311	96	5	332	332	NUM
cana-1311	96	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	96	7	3	3	X
cana-1311	96	8	.	.	PUNCT
cana-1311	96	9	materials	material	NOUN
cana-1311	96	10	and	and	CCONJ
cana-1311	96	11	methods	method	NOUN
cana-1311	96	12	3.1	3.1	NUM
cana-1311	96	13	.	.	PUNCT
cana-1311	97	1	ml	ml	ADP
cana-1311	97	2	algorithms	algorithm	NOUN
cana-1311	97	3	for	for	ADP
cana-1311	97	4	predicting	predict	VERB
cana-1311	97	5	aqi	aqi	PROPN
cana-1311	97	6	and	and	CCONJ
cana-1311	97	7	aql	aql	PROPN
cana-1311	97	8	predicting	predict	VERB
cana-1311	97	9	aqi	aqi	PROPN
cana-1311	97	10	and	and	CCONJ
cana-1311	97	11	aql	aql	NOUN
cana-1311	97	12	of	of	ADP
cana-1311	97	13	guwahati	guwahati	PROPN
cana-1311	97	14	city	city	PROPN
cana-1311	97	15	,	,	PUNCT
cana-1311	97	16	ml	ml	ADP
cana-1311	97	17	methods	method	NOUN
cana-1311	97	18	such	such	ADJ
cana-1311	97	19	as	as	ADP
cana-1311	97	20	dt	dt	PROPN
cana-1311	97	21	,	,	PUNCT
cana-1311	97	22	rf	rf	PRON
cana-1311	97	23	and	and	CCONJ
cana-1311	97	24	knn	knn	PROPN
cana-1311	97	25	are	be	AUX
cana-1311	97	26	utilised	utilise	VERB
cana-1311	97	27	.	.	PUNCT
cana-1311	98	1	fig	fig	NOUN
cana-1311	98	2	.	.	PUNCT
cana-1311	99	1	1	1	NUM
cana-1311	99	2	shows	show	VERB
cana-1311	99	3	the	the	DET
cana-1311	99	4	flowchart	flowchart	NOUN
cana-1311	99	5	of	of	ADP
cana-1311	99	6	predicting	predict	VERB
cana-1311	99	7	aqi	aqi	PROPN
cana-1311	99	8	and	and	CCONJ
cana-1311	99	9	aql	aql	PROPN
cana-1311	99	10	.	.	PROPN
cana-1311	99	11	fig	fig	NOUN
cana-1311	99	12	.	.	PUNCT
cana-1311	100	1	1	1	NUM
cana-1311	100	2	:	:	PUNCT
cana-1311	100	3	workflow	workflow	NOUN
cana-1311	100	4	for	for	ADP
cana-1311	100	5	predicting	predict	VERB
cana-1311	100	6	aqi	aqi	PROPN
cana-1311	100	7	and	and	CCONJ
cana-1311	100	8	aql	aql	PROPN
cana-1311	100	9	.	.	PROPN
cana-1311	101	1	3.1.1	3.1.1	X
cana-1311	101	2	.	.	PUNCT
cana-1311	101	3	decision	decision	NOUN
cana-1311	101	4	tree	tree	NOUN
cana-1311	101	5	dt	dt	NOUN
cana-1311	101	6	is	be	AUX
cana-1311	101	7	a	a	DET
cana-1311	101	8	statistical	statistical	ADJ
cana-1311	101	9	and	and	CCONJ
cana-1311	101	10	ml	ml	ADP
cana-1311	101	11	methods	method	NOUN
cana-1311	101	12	applicable	applicable	ADJ
cana-1311	101	13	to	to	ADP
cana-1311	101	14	both	both	PRON
cana-1311	101	15	regression	regression	NOUN
cana-1311	101	16	and	and	CCONJ
cana-1311	101	17	classification	classification	NOUN
cana-1311	101	18	problems	problem	NOUN
cana-1311	101	19	[	[	X
cana-1311	101	20	31	31	NUM
cana-1311	101	21	]	]	PUNCT
cana-1311	101	22	,	,	PUNCT
cana-1311	101	23	[	[	X
cana-1311	101	24	50	50	NUM
cana-1311	101	25	]	]	PUNCT
cana-1311	101	26	.	.	PUNCT
cana-1311	102	1	in	in	ADP
cana-1311	102	2	regression	regression	NOUN
cana-1311	102	3	,	,	PUNCT
cana-1311	102	4	the	the	DET
cana-1311	102	5	decision	decision	NOUN
cana-1311	102	6	tree	tree	NOUN
cana-1311	102	7	algorithm	algorithm	NOUN
cana-1311	102	8	focuses	focus	VERB
cana-1311	102	9	on	on	ADP
cana-1311	102	10	giving	give	VERB
cana-1311	102	11	a	a	DET
cana-1311	102	12	continuous	continuous	ADJ
cana-1311	102	13	aqi	aqi	NOUN
cana-1311	102	14	value	value	NOUN
cana-1311	102	15	in	in	ADP
cana-1311	102	16	the	the	DET
cana-1311	102	17	output	output	NOUN
cana-1311	102	18	by	by	ADP
cana-1311	102	19	minimizing	minimize	VERB
cana-1311	102	20	the	the	DET
cana-1311	102	21	mse	mse	NOUN
cana-1311	102	22	at	at	ADP
cana-1311	102	23	each	each	DET
cana-1311	102	24	split	split	NOUN
cana-1311	102	25	.	.	PUNCT
cana-1311	103	1	dt	dt	PROPN
cana-1311	103	2	model	model	PROPN
cana-1311	103	3	partitions	partition	VERB
cana-1311	103	4	the	the	DET
cana-1311	103	5	data	datum	NOUN
cana-1311	103	6	at	at	ADP
cana-1311	103	7	node	node	PROPN
cana-1311	103	8	t	t	PROPN
cana-1311	103	9	into	into	ADP
cana-1311	103	10	two	two	NUM
cana-1311	103	11	child	child	NOUN
cana-1311	103	12	nodes	node	NOUN
cana-1311	103	13	in	in	ADP
cana-1311	103	14	a	a	DET
cana-1311	103	15	manner	manner	NOUN
cana-1311	103	16	that	that	PRON
cana-1311	103	17	minimizes	minimize	VERB
cana-1311	103	18	rss	rss	NOUN
cana-1311	103	19	which	which	PRON
cana-1311	103	20	helps	help	VERB
cana-1311	103	21	in	in	ADP
cana-1311	103	22	reducing	reduce	VERB
cana-1311	103	23	the	the	DET
cana-1311	103	24	variance	variance	NOUN
cana-1311	103	25	for	for	ADP
cana-1311	103	26	better	well	ADJ
cana-1311	103	27	prediction	prediction	NOUN
cana-1311	103	28	[	[	X
cana-1311	103	29	22	22	NUM
cana-1311	103	30	]	]	PUNCT
cana-1311	103	31	.	.	PUNCT
cana-1311	104	1	the	the	DET
cana-1311	104	2	equation	equation	NOUN
cana-1311	104	3	for	for	ADP
cana-1311	104	4	rss	rss	NOUN
cana-1311	104	5	is	be	AUX
cana-1311	104	6	formulated	formulate	VERB
cana-1311	104	7	as	as	ADP
cana-1311	104	8	:	:	PUNCT
cana-1311	104	9	∑	∑	PROPN
cana-1311	104	10	(	(	PUNCT
cana-1311	104	11	̂	̂	PUNCT
cana-1311	104	12	)	)	PUNCT
cana-1311	104	13	where	where	SCONJ
cana-1311	104	14	represents	represent	VERB
cana-1311	104	15	aqi	aqi	NOUN
cana-1311	104	16	of	of	ADP
cana-1311	104	17	the	the	DET
cana-1311	104	18	i	i	PROPN
cana-1311	104	19	th	th	X
cana-1311	104	20	sample	sample	NOUN
cana-1311	104	21	and	and	CCONJ
cana-1311	104	22	̂	̂	NUM
cana-1311	104	23	is	be	AUX
cana-1311	104	24	the	the	DET
cana-1311	104	25	mean	mean	ADJ
cana-1311	104	26	aqi	aqi	NOUN
cana-1311	104	27	of	of	ADP
cana-1311	104	28	all	all	DET
cana-1311	104	29	samples	sample	NOUN
cana-1311	104	30	in	in	ADP
cana-1311	104	31	node	node	ADJ
cana-1311	104	32	t.	t.	NOUN
cana-1311	104	33	for	for	ADP
cana-1311	104	34	classification	classification	NOUN
cana-1311	104	35	,	,	PUNCT
cana-1311	104	36	the	the	DET
cana-1311	104	37	dt	dt	PROPN
cana-1311	104	38	algorithm	algorithm	PROPN
cana-1311	104	39	classifies	classify	VERB
cana-1311	104	40	the	the	DET
cana-1311	104	41	aqi	aqi	NOUN
cana-1311	104	42	into	into	ADP
cana-1311	104	43	discrete	discrete	ADJ
cana-1311	104	44	levels	level	NOUN
cana-1311	104	45	[	[	X
cana-1311	104	46	31	31	NUM
cana-1311	104	47	by	by	ADP
cana-1311	104	48	selecting	select	VERB
cana-1311	104	49	the	the	DET
cana-1311	104	50	splits	split	NOUN
cana-1311	104	51	that	that	PRON
cana-1311	104	52	minimize	minimize	VERB
cana-1311	104	53	classification	classification	NOUN
cana-1311	104	54	impurity	impurity	NOUN
cana-1311	104	55	measures	measure	NOUN
cana-1311	104	56	such	such	ADJ
cana-1311	104	57	as	as	ADP
cana-1311	104	58	gini	gini	NOUN
cana-1311	104	59	impurity	impurity	NOUN
cana-1311	104	60	or	or	CCONJ
cana-1311	104	61	entropy	entropy	NOUN
cana-1311	104	62	[	[	X
cana-1311	104	63	23	23	NUM
cana-1311	104	64	]	]	PUNCT
cana-1311	104	65	.	.	PUNCT
cana-1311	105	1	the	the	DET
cana-1311	105	2	formula	formula	NOUN
cana-1311	105	3	for	for	ADP
cana-1311	105	4	gini	gini	NOUN
cana-1311	105	5	impurity	impurity	NOUN
cana-1311	105	6	is	be	AUX
cana-1311	105	7	defined	define	VERB
cana-1311	105	8	by	by	ADP
cana-1311	105	9	:	:	PUNCT
cana-1311	105	10	∑	∑	ADP
cana-1311	105	11	where	where	SCONJ
cana-1311	105	12	pi	pi	NOUN
cana-1311	105	13	denotes	denote	VERB
cana-1311	105	14	the	the	DET
cana-1311	105	15	probability	probability	NOUN
cana-1311	105	16	of	of	ADP
cana-1311	105	17	data	datum	NOUN
cana-1311	105	18	points	point	NOUN
cana-1311	105	19	being	be	AUX
cana-1311	105	20	assigned	assign	VERB
cana-1311	105	21	to	to	ADP
cana-1311	105	22	category	category	NOUN
cana-1311	105	23	i.	i.	NOUN
cana-1311	105	24	3.1.2	3.1.2	NUM
cana-1311	105	25	.	.	PUNCT
cana-1311	106	1	random	random	ADJ
cana-1311	106	2	forest	forest	NOUN
cana-1311	106	3	rf	rf	NOUN
cana-1311	106	4	employs	employ	VERB
cana-1311	106	5	ensemble	ensemble	ADJ
cana-1311	106	6	learning	learning	NOUN
cana-1311	106	7	approach	approach	NOUN
cana-1311	106	8	,	,	PUNCT
cana-1311	106	9	systematically	systematically	ADV
cana-1311	106	10	constructing	construct	VERB
cana-1311	106	11	multiple	multiple	ADJ
cana-1311	106	12	dt	dt	NOUN
cana-1311	106	13	during	during	ADP
cana-1311	106	14	the	the	DET
cana-1311	106	15	training	training	NOUN
cana-1311	106	16	process	process	NOUN
cana-1311	106	17	.	.	PUNCT
cana-1311	107	1	for	for	ADP
cana-1311	107	2	regression	regression	NOUN
cana-1311	107	3	problems	problem	NOUN
cana-1311	107	4	,	,	PUNCT
cana-1311	107	5	it	it	PRON
cana-1311	107	6	provides	provide	VERB
cana-1311	107	7	average	average	NOUN
cana-1311	107	8	of	of	ADP
cana-1311	107	9	the	the	DET
cana-1311	107	10	prediction	prediction	NOUN
cana-1311	107	11	or	or	CCONJ
cana-1311	107	12	majority	majority	NOUN
cana-1311	107	13	vote	vote	NOUN
cana-1311	107	14	for	for	ADP
cana-1311	107	15	classification	classification	NOUN
cana-1311	107	16	problems	problem	NOUN
cana-1311	107	17	in	in	ADP
cana-1311	107	18	an	an	DET
cana-1311	107	19	attempt	attempt	NOUN
cana-1311	107	20	to	to	PART
cana-1311	107	21	increase	increase	VERB
cana-1311	107	22	predictive	predictive	ADJ
cana-1311	107	23	accuracy	accuracy	NOUN
cana-1311	107	24	and	and	CCONJ
cana-1311	107	25	reduction	reduction	NOUN
cana-1311	107	26	of	of	ADP
cana-1311	107	27	over	over	ADV
cana-1311	107	28	-	-	PUNCT
cana-1311	107	29	fitting	fit	VERB
cana-1311	107	30	[	[	X
cana-1311	107	31	9	9	NUM
cana-1311	107	32	]	]	PUNCT
cana-1311	107	33	,	,	PUNCT
cana-1311	107	34	communications	communication	NOUN
cana-1311	107	35	on	on	ADP
cana-1311	107	36	applied	apply	VERB
cana-1311	107	37	nonlinear	nonlinear	ADJ
cana-1311	107	38	analysis	analysis	NOUN
cana-1311	107	39	issn	issn	NOUN
cana-1311	107	40	:	:	PUNCT
cana-1311	107	41	1074	1074	NUM
cana-1311	107	42	-	-	PUNCT
cana-1311	107	43	133x	133x	NUM
cana-1311	107	44	vol	vol	NOUN
cana-1311	107	45	31	31	NUM
cana-1311	107	46	no	no	NOUN
cana-1311	107	47	.	.	PUNCT
cana-1311	108	1	7s	7	NOUN
cana-1311	108	2	(	(	PUNCT
cana-1311	108	3	2024	2024	NUM
cana-1311	108	4	)	)	PUNCT
cana-1311	108	5	333	333	NUM
cana-1311	108	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	109	1	[	[	X
cana-1311	109	2	46	46	NUM
cana-1311	109	3	]	]	PUNCT
cana-1311	109	4	.	.	PUNCT
cana-1311	110	1	rf	rf	ADJ
cana-1311	110	2	algorithm	algorithm	NOUN
cana-1311	110	3	estimates	estimate	VERB
cana-1311	110	4	the	the	DET
cana-1311	110	5	continuous	continuous	ADJ
cana-1311	110	6	aqi	aqi	NOUN
cana-1311	110	7	value	value	NOUN
cana-1311	110	8	by	by	ADP
cana-1311	110	9	averaging	average	VERB
cana-1311	110	10	multiple	multiple	ADJ
cana-1311	110	11	decision	decision	NOUN
cana-1311	110	12	trees	tree	NOUN
cana-1311	110	13	built	build	VERB
cana-1311	110	14	on	on	ADP
cana-1311	110	15	different	different	ADJ
cana-1311	110	16	bootstrap	bootstrap	NOUN
cana-1311	110	17	samples	sample	NOUN
cana-1311	110	18	using	use	VERB
cana-1311	110	19	a	a	DET
cana-1311	110	20	random	random	ADJ
cana-1311	110	21	selection	selection	NOUN
cana-1311	110	22	at	at	ADP
cana-1311	110	23	each	each	DET
cana-1311	110	24	node	node	NOUN
cana-1311	110	25	[	[	X
cana-1311	110	26	11	11	NUM
cana-1311	110	27	]	]	PUNCT
cana-1311	110	28	,	,	PUNCT
cana-1311	110	29	[	[	X
cana-1311	110	30	45	45	NUM
cana-1311	110	31	]	]	PUNCT
cana-1311	110	32	.	.	PUNCT
cana-1311	111	1	the	the	DET
cana-1311	111	2	equation	equation	NOUN
cana-1311	111	3	for	for	ADP
cana-1311	111	4	rf	rf	PRON
cana-1311	111	5	regression	regression	NOUN
cana-1311	111	6	is	be	AUX
cana-1311	111	7	given	give	VERB
cana-1311	111	8	by	by	ADP
cana-1311	111	9	:	:	PUNCT
cana-1311	111	10	̂	̂	PROPN
cana-1311	111	11	∑	∑	PROPN
cana-1311	111	12	where	where	SCONJ
cana-1311	111	13	̂	̂	PUNCT
cana-1311	111	14	is	be	AUX
cana-1311	111	15	the	the	DET
cana-1311	111	16	predicted	predict	VERB
cana-1311	111	17	value	value	NOUN
cana-1311	111	18	of	of	ADP
cana-1311	111	19	aqi	aqi	PROPN
cana-1311	111	20	,	,	PUNCT
cana-1311	111	21	t	t	PROPN
cana-1311	111	22	signifies	signify	VERB
cana-1311	111	23	the	the	DET
cana-1311	111	24	quantity	quantity	NOUN
cana-1311	111	25	of	of	ADP
cana-1311	111	26	decision	decision	NOUN
cana-1311	111	27	trees	tree	NOUN
cana-1311	111	28	in	in	ADP
cana-1311	111	29	rf	rf	NOUN
cana-1311	111	30	and	and	CCONJ
cana-1311	111	31	represents	represent	VERB
cana-1311	111	32	the	the	DET
cana-1311	111	33	predicted	predict	VERB
cana-1311	111	34	value	value	NOUN
cana-1311	111	35	from	from	ADP
cana-1311	111	36	the	the	DET
cana-1311	111	37	i	i	PROPN
cana-1311	111	38	th	th	X
cana-1311	111	39	tree	tree	NOUN
cana-1311	111	40	.	.	PUNCT
cana-1311	112	1	for	for	ADP
cana-1311	112	2	classification	classification	NOUN
cana-1311	112	3	,	,	PUNCT
cana-1311	112	4	the	the	DET
cana-1311	112	5	rf	rf	ADJ
cana-1311	112	6	algorithm	algorithm	NOUN
cana-1311	112	7	classifies	classify	VERB
cana-1311	112	8	the	the	DET
cana-1311	112	9	aqi	aqi	PROPN
cana-1311	112	10	levels	level	NOUN
cana-1311	112	11	by	by	ADP
cana-1311	112	12	taking	take	VERB
cana-1311	112	13	the	the	DET
cana-1311	112	14	majority	majority	NOUN
cana-1311	112	15	vote	vote	NOUN
cana-1311	112	16	from	from	ADP
cana-1311	112	17	the	the	DET
cana-1311	112	18	individual	individual	ADJ
cana-1311	112	19	decision	decision	NOUN
cana-1311	112	20	trees	tree	NOUN
cana-1311	112	21	.	.	PUNCT
cana-1311	113	1	each	each	DET
cana-1311	113	2	tree	tree	NOUN
cana-1311	113	3	represents	represent	VERB
cana-1311	113	4	a	a	DET
cana-1311	113	5	class	class	NOUN
cana-1311	113	6	prediction	prediction	NOUN
cana-1311	113	7	and	and	CCONJ
cana-1311	113	8	the	the	DET
cana-1311	113	9	final	final	ADJ
cana-1311	113	10	classification	classification	NOUN
cana-1311	113	11	is	be	AUX
cana-1311	113	12	the	the	DET
cana-1311	113	13	one	one	NOUN
cana-1311	113	14	that	that	PRON
cana-1311	113	15	occurs	occur	VERB
cana-1311	113	16	most	most	ADV
cana-1311	113	17	often	often	ADV
cana-1311	113	18	across	across	ADP
cana-1311	113	19	all	all	DET
cana-1311	113	20	the	the	DET
cana-1311	113	21	trees	tree	NOUN
cana-1311	113	22	[	[	X
cana-1311	113	23	17	17	NUM
cana-1311	113	24	]	]	PUNCT
cana-1311	113	25	,	,	PUNCT
cana-1311	113	26	[	[	X
cana-1311	113	27	38	38	NUM
cana-1311	113	28	]	]	PUNCT
cana-1311	113	29	.	.	PUNCT
cana-1311	114	1	rf	rf	NOUN
cana-1311	114	2	classification	classification	NOUN
cana-1311	114	3	can	can	AUX
cana-1311	114	4	be	be	AUX
cana-1311	114	5	expressed	express	VERB
cana-1311	114	6	as	as	ADP
cana-1311	114	7	:	:	PUNCT
cana-1311	114	8	̂	̂	X
cana-1311	114	9	(	(	PUNCT
cana-1311	114	10	)	)	PUNCT
cana-1311	114	11	where	where	SCONJ
cana-1311	114	12	̂	̂	VERB
cana-1311	114	13	is	be	AUX
cana-1311	114	14	the	the	DET
cana-1311	114	15	final	final	ADJ
cana-1311	114	16	class	class	NOUN
cana-1311	114	17	prediction	prediction	NOUN
cana-1311	114	18	of	of	ADP
cana-1311	114	19	the	the	DET
cana-1311	114	20	t	t	NOUN
cana-1311	114	21	th	th	X
cana-1311	114	22	decision	decision	NOUN
cana-1311	114	23	tree	tree	NOUN
cana-1311	114	24	.	.	PUNCT
cana-1311	115	1	3.1.3	3.1.3	NUM
cana-1311	115	2	.	.	PUNCT
cana-1311	116	1	k	k	X
cana-1311	116	2	-	-	PUNCT
cana-1311	116	3	nearest	near	ADJ
cana-1311	116	4	neighbors	neighbor	NOUN
cana-1311	116	5	knn	knn	PROPN
cana-1311	116	6	constitutes	constitute	VERB
cana-1311	116	7	a	a	DET
cana-1311	116	8	supervised	supervised	ADJ
cana-1311	116	9	ml	ml	NOUN
cana-1311	116	10	technique	technique	NOUN
cana-1311	116	11	,	,	PUNCT
cana-1311	116	12	with	with	ADP
cana-1311	116	13	the	the	DET
cana-1311	116	14	ability	ability	NOUN
cana-1311	116	15	to	to	PART
cana-1311	116	16	tackle	tackle	VERB
cana-1311	116	17	classification	classification	NOUN
cana-1311	116	18	as	as	ADV
cana-1311	116	19	well	well	ADV
cana-1311	116	20	as	as	ADP
cana-1311	116	21	regression	regression	NOUN
cana-1311	116	22	tasks	task	NOUN
cana-1311	116	23	[	[	X
cana-1311	116	24	20	20	NUM
cana-1311	116	25	]	]	PUNCT
cana-1311	116	26	,	,	PUNCT
cana-1311	116	27	[	[	X
cana-1311	116	28	51	51	NUM
cana-1311	116	29	]	]	PUNCT
cana-1311	116	30	.	.	PUNCT
cana-1311	117	1	this	this	DET
cana-1311	117	2	method	method	NOUN
cana-1311	117	3	is	be	AUX
cana-1311	117	4	often	often	ADV
cana-1311	117	5	characterized	characterize	VERB
cana-1311	117	6	as	as	ADP
cana-1311	117	7	a	a	DET
cana-1311	117	8	lazy	lazy	ADJ
cana-1311	117	9	learning	learning	NOUN
cana-1311	117	10	technique	technique	NOUN
cana-1311	117	11	,	,	PUNCT
cana-1311	117	12	as	as	SCONJ
cana-1311	117	13	it	it	PRON
cana-1311	117	14	requires	require	VERB
cana-1311	117	15	little	little	ADJ
cana-1311	117	16	time	time	NOUN
cana-1311	117	17	for	for	ADP
cana-1311	117	18	learning	learn	VERB
cana-1311	117	19	[	[	X
cana-1311	117	20	26	26	NUM
cana-1311	117	21	]	]	PUNCT
cana-1311	117	22	,	,	PUNCT
cana-1311	117	23	[	[	X
cana-1311	117	24	48	48	NUM
cana-1311	117	25	]	]	PUNCT
cana-1311	117	26	.	.	PUNCT
cana-1311	118	1	knn	knn	PROPN
cana-1311	118	2	estimates	estimate	VERB
cana-1311	118	3	the	the	DET
cana-1311	118	4	unknown	unknown	ADJ
cana-1311	118	5	value	value	NOUN
cana-1311	118	6	of	of	ADP
cana-1311	118	7	a	a	DET
cana-1311	118	8	new	new	ADJ
cana-1311	118	9	data	data	NOUN
cana-1311	118	10	point	point	NOUN
cana-1311	118	11	by	by	ADP
cana-1311	118	12	considering	consider	VERB
cana-1311	118	13	feature	feature	NOUN
cana-1311	118	14	similarity	similarity	NOUN
cana-1311	118	15	,	,	PUNCT
cana-1311	118	16	assigning	assign	VERB
cana-1311	118	17	a	a	DET
cana-1311	118	18	value	value	NOUN
cana-1311	118	19	from	from	ADP
cana-1311	118	20	the	the	DET
cana-1311	118	21	training	training	NOUN
cana-1311	118	22	dataset	dataset	VERB
cana-1311	118	23	proportional	proportional	ADJ
cana-1311	118	24	to	to	ADP
cana-1311	118	25	its	its	PRON
cana-1311	118	26	degree	degree	NOUN
cana-1311	118	27	of	of	ADP
cana-1311	118	28	similarity	similarity	NOUN
cana-1311	118	29	.	.	PUNCT
cana-1311	119	1	the	the	DET
cana-1311	119	2	distance	distance	NOUN
cana-1311	119	3	between	between	ADP
cana-1311	119	4	the	the	DET
cana-1311	119	5	affected	affected	ADJ
cana-1311	119	6	input	input	NOUN
cana-1311	119	7	and	and	CCONJ
cana-1311	119	8	its	its	PRON
cana-1311	119	9	neighbouring	neighbouring	NOUN
cana-1311	119	10	samples	sample	NOUN
cana-1311	119	11	are	be	AUX
cana-1311	119	12	quantified	quantify	VERB
cana-1311	119	13	by	by	ADP
cana-1311	119	14	a	a	DET
cana-1311	119	15	distance	distance	NOUN
cana-1311	119	16	measure	measure	NOUN
cana-1311	119	17	called	call	VERB
cana-1311	119	18	euclidean	euclidean	ADJ
cana-1311	119	19	distance	distance	NOUN
cana-1311	119	20	.	.	PUNCT
cana-1311	120	1	this	this	PRON
cana-1311	120	2	involves	involve	VERB
cana-1311	120	3	transforming	transform	VERB
cana-1311	120	4	the	the	DET
cana-1311	120	5	input	input	NOUN
cana-1311	120	6	dataset	dataset	VERB
cana-1311	120	7	into	into	ADP
cana-1311	120	8	a	a	DET
cana-1311	120	9	singular	singular	ADJ
cana-1311	120	10	distance	distance	NOUN
cana-1311	120	11	metric	metric	NOUN
cana-1311	120	12	according	accord	VERB
cana-1311	120	13	to	to	ADP
cana-1311	120	14	the	the	DET
cana-1311	120	15	computed	computed	ADJ
cana-1311	120	16	similarity	similarity	NOUN
cana-1311	120	17	measures	measure	NOUN
cana-1311	120	18	.	.	PUNCT
cana-1311	121	1	this	this	DET
cana-1311	121	2	input	input	NOUN
cana-1311	121	3	is	be	AUX
cana-1311	121	4	then	then	ADV
cana-1311	121	5	classified	classify	VERB
cana-1311	121	6	or	or	CCONJ
cana-1311	121	7	predicted	predict	VERB
cana-1311	121	8	based	base	VERB
cana-1311	121	9	on	on	ADP
cana-1311	121	10	the	the	DET
cana-1311	121	11	mean	mean	NOUN
cana-1311	121	12	or	or	CCONJ
cana-1311	121	13	mode	mode	NOUN
cana-1311	121	14	of	of	ADP
cana-1311	121	15	the	the	DET
cana-1311	121	16	labels	label	NOUN
cana-1311	121	17	of	of	ADP
cana-1311	121	18	knn	knn	PROPN
cana-1311	121	19	with	with	ADP
cana-1311	121	20	respect	respect	NOUN
cana-1311	121	21	to	to	ADP
cana-1311	121	22	classification	classification	NOUN
cana-1311	121	23	or	or	CCONJ
cana-1311	121	24	regression	regression	NOUN
cana-1311	121	25	problem	problem	NOUN
cana-1311	121	26	[	[	X
cana-1311	121	27	12	12	NUM
cana-1311	121	28	]	]	PUNCT
cana-1311	121	29	,	,	PUNCT
cana-1311	121	30	[	[	X
cana-1311	121	31	16	16	NUM
cana-1311	121	32	]	]	PUNCT
cana-1311	121	33	.	.	PUNCT
cana-1311	122	1	the	the	DET
cana-1311	122	2	formula	formula	NOUN
cana-1311	122	3	for	for	ADP
cana-1311	122	4	measuring	measure	VERB
cana-1311	122	5	the	the	DET
cana-1311	122	6	euclidean	euclidean	ADJ
cana-1311	122	7	distance	distance	NOUN
cana-1311	122	8	d	d	NOUN
cana-1311	122	9	seperating	seperate	VERB
cana-1311	122	10	two	two	NUM
cana-1311	122	11	points	point	NOUN
cana-1311	122	12	v	v	NOUN
cana-1311	122	13	and	and	CCONJ
cana-1311	122	14	u	u	NOUN
cana-1311	122	15	is	be	AUX
cana-1311	122	16	given	give	VERB
cana-1311	122	17	by	by	ADP
cana-1311	122	18	:	:	PUNCT
cana-1311	122	19	(	(	PUNCT
cana-1311	122	20	)	)	PUNCT
cana-1311	122	21	√∑	√∑	PROPN
cana-1311	122	22	(	(	PUNCT
cana-1311	122	23	)	)	PUNCT
cana-1311	122	24	where	where	SCONJ
cana-1311	122	25	represents	represent	VERB
cana-1311	122	26	the	the	DET
cana-1311	122	27	i	i	PROPN
cana-1311	122	28	th	th	X
cana-1311	122	29	feature	feature	NOUN
cana-1311	122	30	of	of	ADP
cana-1311	122	31	the	the	DET
cana-1311	122	32	input	input	NOUN
cana-1311	122	33	vector	vector	NOUN
cana-1311	122	34	and	and	CCONJ
cana-1311	122	35	is	be	AUX
cana-1311	122	36	the	the	PRON
cana-1311	122	37	i	i	NOUN
cana-1311	122	38	th	th	X
cana-1311	122	39	feature	feature	NOUN
cana-1311	122	40	of	of	ADP
cana-1311	122	41	the	the	DET
cana-1311	122	42	training	training	NOUN
cana-1311	122	43	sample	sample	NOUN
cana-1311	122	44	.	.	PUNCT
cana-1311	123	1	3.2	3.2	NUM
cana-1311	123	2	.	.	PUNCT
cana-1311	123	3	model	model	NOUN
cana-1311	123	4	evaluation	evaluation	NOUN
cana-1311	123	5	for	for	ADP
cana-1311	123	6	the	the	DET
cana-1311	123	7	purpose	purpose	NOUN
cana-1311	123	8	of	of	ADP
cana-1311	123	9	checking	check	VERB
cana-1311	123	10	the	the	DET
cana-1311	123	11	accuracy	accuracy	NOUN
cana-1311	123	12	and	and	CCONJ
cana-1311	123	13	comparing	compare	VERB
cana-1311	123	14	the	the	DET
cana-1311	123	15	models	model	NOUN
cana-1311	123	16	,	,	PUNCT
cana-1311	123	17	equations	equation	NOUN
cana-1311	123	18	like	like	ADP
cana-1311	123	19	rmse	rmse	NOUN
cana-1311	123	20	(	(	PUNCT
cana-1311	123	21	root	root	NOUN
cana-1311	123	22	mean	mean	VERB
cana-1311	123	23	squared	square	VERB
cana-1311	123	24	error	error	NOUN
cana-1311	123	25	)	)	PUNCT
cana-1311	123	26	,	,	PUNCT
cana-1311	123	27	mae	mae	PROPN
cana-1311	123	28	(	(	PUNCT
cana-1311	123	29	mean	mean	ADJ
cana-1311	123	30	absolute	absolute	ADJ
cana-1311	123	31	error	error	NOUN
cana-1311	123	32	)	)	PUNCT
cana-1311	123	33	,	,	PUNCT
cana-1311	123	34	r	r	NOUN
cana-1311	123	35	2	2	NUM
cana-1311	123	36	(	(	PUNCT
cana-1311	123	37	coefficient	coefficient	NOUN
cana-1311	123	38	of	of	ADP
cana-1311	123	39	determination	determination	NOUN
cana-1311	123	40	)	)	PUNCT
cana-1311	123	41	,	,	PUNCT
cana-1311	123	42	accuracy	accuracy	NOUN
cana-1311	123	43	,	,	PUNCT
cana-1311	123	44	f1	f1	NOUN
cana-1311	123	45	-	-	PUNCT
cana-1311	123	46	score	score	NOUN
cana-1311	123	47	and	and	CCONJ
cana-1311	123	48	mcc	mcc	PROPN
cana-1311	123	49	(	(	PUNCT
cana-1311	123	50	matthews	matthews	PROPN
cana-1311	123	51	correlation	correlation	NOUN
cana-1311	123	52	coefficient	coefficient	NOUN
cana-1311	123	53	)	)	PUNCT
cana-1311	123	54	were	be	AUX
cana-1311	123	55	utilized	utilize	VERB
cana-1311	123	56	with	with	ADP
cana-1311	123	57	10	10	NUM
cana-1311	123	58	-	-	ADJ
cana-1311	123	59	fold	fold	ADJ
cana-1311	123	60	cross	cross	NOUN
cana-1311	123	61	validation	validation	NOUN
cana-1311	123	62	for	for	ADP
cana-1311	123	63	regression	regression	NOUN
cana-1311	123	64	and	and	CCONJ
cana-1311	123	65	classification	classification	NOUN
cana-1311	123	66	model	model	NOUN
cana-1311	123	67	evaluation	evaluation	NOUN
cana-1311	123	68	.	.	PUNCT
cana-1311	124	1	furthermore	furthermore	ADV
cana-1311	124	2	,	,	PUNCT
cana-1311	124	3	as	as	SCONJ
cana-1311	124	4	the	the	DET
cana-1311	124	5	classification	classification	NOUN
cana-1311	124	6	metrics	metric	NOUN
cana-1311	124	7	of	of	ADP
cana-1311	124	8	the	the	DET
cana-1311	124	9	proposed	propose	VERB
cana-1311	124	10	models	model	NOUN
cana-1311	124	11	were	be	AUX
cana-1311	124	12	derived	derive	VERB
cana-1311	124	13	on	on	ADP
cana-1311	124	14	parts	part	NOUN
cana-1311	124	15	of	of	ADP
cana-1311	124	16	the	the	DET
cana-1311	124	17	confusion	confusion	NOUN
cana-1311	124	18	matrix	matrix	NOUN
cana-1311	124	19	,	,	PUNCT
cana-1311	124	20	rocc	rocc	NOUN
cana-1311	124	21	(	(	PUNCT
cana-1311	124	22	receiver	receiver	ADV
cana-1311	124	23	operating	operate	VERB
cana-1311	124	24	characteristic	characteristic	ADJ
cana-1311	124	25	curve	curve	NOUN
cana-1311	124	26	)	)	PUNCT
cana-1311	124	27	with	with	ADP
cana-1311	124	28	aurocc	aurocc	ADJ
cana-1311	124	29	(	(	PUNCT
cana-1311	124	30	area	area	NOUN
cana-1311	124	31	under	under	ADP
cana-1311	124	32	roc	roc	PROPN
cana-1311	124	33	curve	curve	NOUN
cana-1311	124	34	)	)	PUNCT
cana-1311	124	35	for	for	ADP
cana-1311	124	36	each	each	DET
cana-1311	124	37	class	class	NOUN
cana-1311	124	38	using	use	VERB
cana-1311	124	39	onevs	onevs	ADJ
cana-1311	124	40	-	-	PUNCT
cana-1311	124	41	rest	rest	NOUN
cana-1311	124	42	method	method	NOUN
cana-1311	124	43	were	be	AUX
cana-1311	124	44	assessed	assess	VERB
cana-1311	124	45	for	for	ADP
cana-1311	124	46	the	the	DET
cana-1311	124	47	effectiveness	effectiveness	NOUN
cana-1311	124	48	of	of	ADP
cana-1311	124	49	the	the	DET
cana-1311	124	50	model	model	NOUN
cana-1311	124	51	.	.	PUNCT
cana-1311	125	1	communications	communication	NOUN
cana-1311	125	2	on	on	ADP
cana-1311	125	3	applied	apply	VERB
cana-1311	125	4	nonlinear	nonlinear	ADJ
cana-1311	125	5	analysis	analysis	NOUN
cana-1311	125	6	issn	issn	NOUN
cana-1311	125	7	:	:	PUNCT
cana-1311	125	8	1074	1074	NUM
cana-1311	125	9	-	-	PUNCT
cana-1311	125	10	133x	133x	NUM
cana-1311	125	11	vol	vol	NOUN
cana-1311	125	12	31	31	NUM
cana-1311	125	13	no	no	NOUN
cana-1311	125	14	.	.	PUNCT
cana-1311	126	1	7s	7	NOUN
cana-1311	126	2	(	(	PUNCT
cana-1311	126	3	2024	2024	NUM
cana-1311	126	4	)	)	PUNCT
cana-1311	126	5	334	334	NUM
cana-1311	126	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	126	7	3.2.1	3.2.1	NUM
cana-1311	126	8	.	.	PUNCT
cana-1311	127	1	root	root	NOUN
cana-1311	127	2	mean	mean	VERB
cana-1311	127	3	square	square	ADJ
cana-1311	127	4	error	error	NOUN
cana-1311	127	5	rmse	rmse	NOUN
cana-1311	127	6	is	be	AUX
cana-1311	127	7	a	a	DET
cana-1311	127	8	measure	measure	NOUN
cana-1311	127	9	for	for	ADP
cana-1311	127	10	assessing	assess	VERB
cana-1311	127	11	the	the	DET
cana-1311	127	12	accuracy	accuracy	NOUN
cana-1311	127	13	of	of	ADP
cana-1311	127	14	predictive	predictive	ADJ
cana-1311	127	15	models	model	NOUN
cana-1311	127	16	and	and	CCONJ
cana-1311	127	17	it	it	PRON
cana-1311	127	18	calculates	calculate	VERB
cana-1311	127	19	the	the	DET
cana-1311	127	20	mean	mean	ADJ
cana-1311	127	21	squared	square	VERB
cana-1311	127	22	deviation	deviation	NOUN
cana-1311	127	23	of	of	ADP
cana-1311	127	24	errors	error	NOUN
cana-1311	127	25	between	between	ADP
cana-1311	127	26	the	the	DET
cana-1311	127	27	observed	observe	VERB
cana-1311	127	28	and	and	CCONJ
cana-1311	127	29	forecasted	forecast	VERB
cana-1311	127	30	values	value	NOUN
cana-1311	127	31	[	[	X
cana-1311	127	32	1	1	NUM
cana-1311	127	33	]	]	PUNCT
cana-1311	127	34	.	.	PUNCT
cana-1311	128	1	the	the	DET
cana-1311	128	2	formula	formula	NOUN
cana-1311	128	3	that	that	PRON
cana-1311	128	4	defines	define	VERB
cana-1311	128	5	rmse	rmse	NOUN
cana-1311	128	6	can	can	AUX
cana-1311	128	7	be	be	AUX
cana-1311	128	8	expressed	express	VERB
cana-1311	128	9	as	as	ADP
cana-1311	128	10	:	:	PUNCT
cana-1311	128	11	√	√	NUM
cana-1311	128	12	∑	∑	PROPN
cana-1311	128	13	(	(	PUNCT
cana-1311	128	14	̂	̂	PUNCT
cana-1311	128	15	)	)	PUNCT
cana-1311	128	16	where	where	SCONJ
cana-1311	128	17	n	n	PRON
cana-1311	128	18	represents	represent	VERB
cana-1311	128	19	overall	overall	ADJ
cana-1311	128	20	sample	sample	NOUN
cana-1311	128	21	size	size	NOUN
cana-1311	128	22	,	,	PUNCT
cana-1311	128	23	denotes	denote	VERB
cana-1311	128	24	the	the	DET
cana-1311	128	25	observed	observe	VERB
cana-1311	128	26	value	value	NOUN
cana-1311	128	27	for	for	ADP
cana-1311	128	28	the	the	DET
cana-1311	128	29	i	i	PROPN
cana-1311	128	30	th	th	X
cana-1311	128	31	sample	sample	NOUN
cana-1311	128	32	and	and	CCONJ
cana-1311	128	33	̂	̂	NUM
cana-1311	128	34	indicates	indicate	VERB
cana-1311	128	35	the	the	DET
cana-1311	128	36	predicted	predict	VERB
cana-1311	128	37	value	value	NOUN
cana-1311	128	38	for	for	ADP
cana-1311	128	39	the	the	DET
cana-1311	128	40	i	i	PROPN
cana-1311	128	41	th	th	X
cana-1311	128	42	sample	sample	NOUN
cana-1311	128	43	.	.	PUNCT
cana-1311	129	1	3.2.2	3.2.2	NUM
cana-1311	129	2	.	.	PUNCT
cana-1311	130	1	mean	mean	VERB
cana-1311	130	2	absolute	absolute	ADJ
cana-1311	130	3	error	error	NOUN
cana-1311	130	4	mae	mae	NOUN
cana-1311	130	5	measures	measure	VERB
cana-1311	130	6	the	the	DET
cana-1311	130	7	average	average	ADJ
cana-1311	130	8	amount	amount	NOUN
cana-1311	130	9	of	of	ADP
cana-1311	130	10	deviation	deviation	NOUN
cana-1311	130	11	between	between	ADP
cana-1311	130	12	the	the	DET
cana-1311	130	13	observed	observe	VERB
cana-1311	130	14	and	and	CCONJ
cana-1311	130	15	predicted	predict	VERB
cana-1311	130	16	values	value	NOUN
cana-1311	130	17	[	[	X
cana-1311	130	18	4	4	NUM
cana-1311	130	19	]	]	PUNCT
cana-1311	130	20	.	.	PUNCT
cana-1311	131	1	it	it	PRON
cana-1311	131	2	is	be	AUX
cana-1311	131	3	calculated	calculate	VERB
cana-1311	131	4	by	by	ADP
cana-1311	131	5	summing	sum	VERB
cana-1311	131	6	the	the	DET
cana-1311	131	7	absolute	absolute	ADJ
cana-1311	131	8	variances	variance	NOUN
cana-1311	131	9	between	between	ADP
cana-1311	131	10	the	the	DET
cana-1311	131	11	actual	actual	ADJ
cana-1311	131	12	and	and	CCONJ
cana-1311	131	13	estimated	estimated	ADJ
cana-1311	131	14	data	data	NOUN
cana-1311	131	15	points	point	NOUN
cana-1311	131	16	,	,	PUNCT
cana-1311	131	17	subsequently	subsequently	ADV
cana-1311	131	18	divided	divide	VERB
cana-1311	131	19	by	by	ADP
cana-1311	131	20	the	the	DET
cana-1311	131	21	total	total	ADJ
cana-1311	131	22	sample	sample	NOUN
cana-1311	131	23	size	size	NOUN
cana-1311	131	24	.	.	PUNCT
cana-1311	132	1	the	the	DET
cana-1311	132	2	mathematical	mathematical	ADJ
cana-1311	132	3	expression	expression	NOUN
cana-1311	132	4	of	of	ADP
cana-1311	132	5	mae	mae	PROPN
cana-1311	132	6	is	be	AUX
cana-1311	132	7	given	give	VERB
cana-1311	132	8	by	by	ADP
cana-1311	132	9	:	:	PUNCT
cana-1311	132	10	∑|	∑|	ADJ
cana-1311	132	11	̂	̂	PUNCT
cana-1311	132	12	|	|	ADV
cana-1311	132	13	where	where	SCONJ
cana-1311	132	14	indicates	indicate	VERB
cana-1311	132	15	the	the	DET
cana-1311	132	16	actual	actual	ADJ
cana-1311	132	17	value	value	NOUN
cana-1311	132	18	,	,	PUNCT
cana-1311	132	19	̂	̂	PUNCT
cana-1311	132	20	denotes	denote	VERB
cana-1311	132	21	the	the	DET
cana-1311	132	22	estimated	estimate	VERB
cana-1311	132	23	value	value	NOUN
cana-1311	132	24	and	and	CCONJ
cana-1311	132	25	n	n	CCONJ
cana-1311	132	26	represents	represent	VERB
cana-1311	132	27	the	the	DET
cana-1311	132	28	overall	overall	ADJ
cana-1311	132	29	number	number	NOUN
cana-1311	132	30	of	of	ADP
cana-1311	132	31	data	datum	NOUN
cana-1311	132	32	points	point	NOUN
cana-1311	132	33	.	.	PUNCT
cana-1311	133	1	3.2.3	3.2.3	X
cana-1311	133	2	.	.	PUNCT
cana-1311	133	3	coefficient	coefficient	NOUN
cana-1311	133	4	of	of	ADP
cana-1311	133	5	determination	determination	NOUN
cana-1311	133	6	r	r	NOUN
cana-1311	133	7	2	2	NUM
cana-1311	133	8	expresses	express	VERB
cana-1311	133	9	a	a	DET
cana-1311	133	10	degree	degree	NOUN
cana-1311	133	11	in	in	ADP
cana-1311	133	12	which	which	PRON
cana-1311	133	13	variations	variation	NOUN
cana-1311	133	14	of	of	ADP
cana-1311	133	15	dependent	dependent	ADJ
cana-1311	133	16	variable	variable	NOUN
cana-1311	133	17	are	be	AUX
cana-1311	133	18	justified	justify	VERB
cana-1311	133	19	by	by	ADP
cana-1311	133	20	the	the	DET
cana-1311	133	21	independent	independent	ADJ
cana-1311	133	22	variables	variable	NOUN
cana-1311	133	23	[	[	X
cana-1311	133	24	18	18	NUM
cana-1311	133	25	]	]	PUNCT
cana-1311	133	26	.	.	PUNCT
cana-1311	134	1	it	it	PRON
cana-1311	134	2	provides	provide	VERB
cana-1311	134	3	a	a	DET
cana-1311	134	4	measure	measure	NOUN
cana-1311	134	5	of	of	ADP
cana-1311	134	6	how	how	SCONJ
cana-1311	134	7	precisely	precisely	ADV
cana-1311	134	8	the	the	DET
cana-1311	134	9	model	model	NOUN
cana-1311	134	10	predictions	prediction	NOUN
cana-1311	134	11	align	align	VERB
cana-1311	134	12	with	with	ADP
cana-1311	134	13	the	the	DET
cana-1311	134	14	real	real	ADJ
cana-1311	134	15	data	datum	NOUN
cana-1311	134	16	by	by	ADP
cana-1311	134	17	giving	give	VERB
cana-1311	134	18	a	a	DET
cana-1311	134	19	value	value	NOUN
cana-1311	134	20	ranging	range	VERB
cana-1311	134	21	from	from	ADP
cana-1311	134	22	0	0	NUM
cana-1311	134	23	to	to	ADP
cana-1311	134	24	1	1	NUM
cana-1311	134	25	.	.	PUNCT
cana-1311	135	1	it	it	PRON
cana-1311	135	2	can	can	AUX
cana-1311	135	3	be	be	AUX
cana-1311	135	4	mathematically	mathematically	ADV
cana-1311	135	5	expressed	express	VERB
cana-1311	135	6	as	as	ADP
cana-1311	135	7	:	:	PUNCT
cana-1311	135	8	∑	∑	PUNCT
cana-1311	135	9	(	(	PUNCT
cana-1311	135	10	̂	̂	X
cana-1311	135	11	)	)	PUNCT
cana-1311	135	12	∑	∑	PUNCT
cana-1311	135	13	(	(	PUNCT
cana-1311	135	14	̅	̅	NOUN
cana-1311	135	15	)	)	PUNCT
cana-1311	135	16	where	where	SCONJ
cana-1311	135	17	signifies	signify	VERB
cana-1311	135	18	the	the	DET
cana-1311	135	19	actual	actual	ADJ
cana-1311	135	20	value	value	NOUN
cana-1311	135	21	,	,	PUNCT
cana-1311	135	22	̅	̅	NOUN
cana-1311	135	23	denotes	denote	VERB
cana-1311	135	24	the	the	DET
cana-1311	135	25	mean	mean	NOUN
cana-1311	135	26	of	of	ADP
cana-1311	135	27	the	the	DET
cana-1311	135	28	actual	actual	ADJ
cana-1311	135	29	values	value	NOUN
cana-1311	135	30	and	and	CCONJ
cana-1311	135	31	̂	̂	PUNCT
cana-1311	135	32	indicates	indicate	VERB
cana-1311	135	33	the	the	DET
cana-1311	135	34	predicted	predict	VERB
cana-1311	135	35	values	value	NOUN
cana-1311	135	36	.	.	PUNCT
cana-1311	136	1	3.2.4	3.2.4	NUM
cana-1311	136	2	.	.	X
cana-1311	136	3	accuracy	accuracy	NOUN
cana-1311	136	4	and	and	CCONJ
cana-1311	136	5	f1	f1	NOUN
cana-1311	136	6	score	score	NOUN
cana-1311	136	7	accuracy	accuracy	NOUN
cana-1311	136	8	serves	serve	VERB
cana-1311	136	9	as	as	ADP
cana-1311	136	10	a	a	DET
cana-1311	136	11	performance	performance	NOUN
cana-1311	136	12	metric	metric	NOUN
cana-1311	136	13	employed	employ	VERB
cana-1311	136	14	for	for	ADP
cana-1311	136	15	evaluating	evaluate	VERB
cana-1311	136	16	the	the	DET
cana-1311	136	17	effectiveness	effectiveness	NOUN
cana-1311	136	18	behind	behind	ADP
cana-1311	136	19	a	a	DET
cana-1311	136	20	classification	classification	NOUN
cana-1311	136	21	algorithm	algorithm	NOUN
cana-1311	136	22	.	.	PUNCT
cana-1311	137	1	this	this	DET
cana-1311	137	2	metric	metric	NOUN
cana-1311	137	3	represents	represent	VERB
cana-1311	137	4	the	the	DET
cana-1311	137	5	ratio	ratio	NOUN
cana-1311	137	6	between	between	ADP
cana-1311	137	7	correctly	correctly	ADV
cana-1311	137	8	classified	classified	ADJ
cana-1311	137	9	instances	instance	NOUN
cana-1311	137	10	and	and	CCONJ
cana-1311	137	11	all	all	DET
cana-1311	137	12	predictions	prediction	NOUN
cana-1311	137	13	made	make	VERB
cana-1311	137	14	.	.	PUNCT
cana-1311	138	1	accuracy	accuracy	NOUN
cana-1311	138	2	is	be	AUX
cana-1311	138	3	calculated	calculate	VERB
cana-1311	138	4	using	use	VERB
cana-1311	138	5	the	the	DET
cana-1311	138	6	following	follow	VERB
cana-1311	138	7	formula	formula	NOUN
cana-1311	138	8	:	:	PUNCT
cana-1311	138	9	the	the	DET
cana-1311	138	10	f1	f1	PROPN
cana-1311	138	11	score	score	NOUN
cana-1311	138	12	is	be	AUX
cana-1311	138	13	an	an	DET
cana-1311	138	14	evaluation	evaluation	NOUN
cana-1311	138	15	metric	metric	NOUN
cana-1311	138	16	constructed	construct	VERB
cana-1311	138	17	by	by	ADP
cana-1311	138	18	blending	blend	VERB
cana-1311	138	19	the	the	DET
cana-1311	138	20	ideas	idea	NOUN
cana-1311	138	21	of	of	ADP
cana-1311	138	22	precision	precision	NOUN
cana-1311	138	23	and	and	CCONJ
cana-1311	138	24	recall	recall	VERB
cana-1311	138	25	into	into	ADP
cana-1311	138	26	a	a	DET
cana-1311	138	27	singular	singular	ADJ
cana-1311	138	28	value	value	NOUN
cana-1311	138	29	,	,	PUNCT
cana-1311	138	30	calculated	calculate	VERB
cana-1311	138	31	as	as	ADP
cana-1311	138	32	the	the	DET
cana-1311	138	33	harmonic	harmonic	ADJ
cana-1311	138	34	mean	mean	NOUN
cana-1311	138	35	of	of	ADP
cana-1311	138	36	these	these	DET
cana-1311	138	37	two	two	NUM
cana-1311	138	38	measures	measure	NOUN
cana-1311	138	39	with	with	ADP
cana-1311	138	40	equal	equal	ADJ
cana-1311	138	41	significance	significance	NOUN
cana-1311	138	42	.	.	PUNCT
cana-1311	139	1	it	it	PRON
cana-1311	139	2	can	can	AUX
cana-1311	139	3	be	be	AUX
cana-1311	139	4	expressed	express	VERB
cana-1311	139	5	as	as	ADP
cana-1311	139	6	:	:	PUNCT
cana-1311	139	7	communications	communication	NOUN
cana-1311	139	8	on	on	ADP
cana-1311	139	9	applied	apply	VERB
cana-1311	139	10	nonlinear	nonlinear	ADJ
cana-1311	139	11	analysis	analysis	NOUN
cana-1311	139	12	issn	issn	NOUN
cana-1311	139	13	:	:	PUNCT
cana-1311	139	14	1074	1074	NUM
cana-1311	139	15	-	-	PUNCT
cana-1311	139	16	133x	133x	NUM
cana-1311	139	17	vol	vol	NOUN
cana-1311	139	18	31	31	NUM
cana-1311	139	19	no	no	NOUN
cana-1311	139	20	.	.	PUNCT
cana-1311	140	1	7s	7	NOUN
cana-1311	140	2	(	(	PUNCT
cana-1311	140	3	2024	2024	NUM
cana-1311	140	4	)	)	PUNCT
cana-1311	140	5	335	335	NUM
cana-1311	141	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	141	2	(	(	PUNCT
cana-1311	141	3	)	)	PUNCT
cana-1311	141	4	where	where	SCONJ
cana-1311	141	5	and	and	CCONJ
cana-1311	141	6			NOUN
cana-1311	141	7	tp	tp	NOUN
cana-1311	141	8	(	(	PUNCT
cana-1311	141	9	true	true	ADJ
cana-1311	141	10	positive	positive	ADJ
cana-1311	141	11	):	):	PUNCT
cana-1311	141	12	instances	instance	NOUN
cana-1311	141	13	that	that	PRON
cana-1311	141	14	are	be	AUX
cana-1311	141	15	correctly	correctly	ADV
cana-1311	141	16	classified	classify	VERB
cana-1311	141	17	as	as	ADP
cana-1311	141	18	positive	positive	ADJ
cana-1311	141	19	.	.	PUNCT
cana-1311	142	1			PROPN
cana-1311	142	2	tn	tn	PROPN
cana-1311	142	3	(	(	PUNCT
cana-1311	142	4	true	true	ADJ
cana-1311	142	5	negative	negative	ADJ
cana-1311	142	6	):	):	PUNCT
cana-1311	142	7	instances	instance	NOUN
cana-1311	142	8	that	that	PRON
cana-1311	142	9	are	be	AUX
cana-1311	142	10	correctly	correctly	ADV
cana-1311	142	11	classified	classify	VERB
cana-1311	142	12	as	as	ADP
cana-1311	142	13	negative	negative	ADJ
cana-1311	142	14	.	.	PUNCT
cana-1311	143	1			PRON
cana-1311	144	1	fp	fp	PROPN
cana-1311	144	2	(	(	PUNCT
cana-1311	144	3	false	false	ADJ
cana-1311	144	4	positive	positive	ADJ
cana-1311	144	5	):	):	PUNCT
cana-1311	144	6	instances	instance	NOUN
cana-1311	144	7	that	that	PRON
cana-1311	144	8	are	be	AUX
cana-1311	144	9	incorrectly	incorrectly	ADV
cana-1311	144	10	classified	classify	VERB
cana-1311	144	11	as	as	ADP
cana-1311	144	12	positive	positive	ADJ
cana-1311	144	13	.	.	PUNCT
cana-1311	145	1			PRON
cana-1311	146	1	fn	fn	INTJ
cana-1311	146	2	(	(	PUNCT
cana-1311	146	3	false	false	ADJ
cana-1311	146	4	negative	negative	ADJ
cana-1311	146	5	):	):	PUNCT
cana-1311	146	6	instances	instance	NOUN
cana-1311	146	7	that	that	PRON
cana-1311	146	8	are	be	AUX
cana-1311	146	9	incorrectly	incorrectly	ADV
cana-1311	146	10	classified	classify	VERB
cana-1311	146	11	as	as	ADP
cana-1311	146	12	negative	negative	ADJ
cana-1311	146	13	.	.	PUNCT
cana-1311	147	1	3.2.5	3.2.5	X
cana-1311	147	2	.	.	PUNCT
cana-1311	148	1	mathew	mathew	PROPN
cana-1311	148	2	’s	’s	PART
cana-1311	148	3	correlation	correlation	NOUN
cana-1311	148	4	coefficient	coefficient	NOUN
cana-1311	148	5	mcc	mcc	PROPN
cana-1311	148	6	is	be	AUX
cana-1311	148	7	a	a	DET
cana-1311	148	8	metric	metric	NOUN
cana-1311	148	9	that	that	PRON
cana-1311	148	10	uses	use	VERB
cana-1311	148	11	confusion	confusion	NOUN
cana-1311	148	12	matrix	matrix	NOUN
cana-1311	148	13	to	to	PART
cana-1311	148	14	determine	determine	VERB
cana-1311	148	15	the	the	DET
cana-1311	148	16	correlation	correlation	NOUN
cana-1311	148	17	connecting	connect	VERB
cana-1311	148	18	the	the	DET
cana-1311	148	19	actual	actual	ADJ
cana-1311	148	20	and	and	CCONJ
cana-1311	148	21	predicted	predict	VERB
cana-1311	148	22	class	class	NOUN
cana-1311	148	23	memberships	membership	NOUN
cana-1311	148	24	of	of	ADP
cana-1311	148	25	labels	label	NOUN
cana-1311	148	26	[	[	X
cana-1311	148	27	8	8	NUM
cana-1311	148	28	]	]	PUNCT
cana-1311	148	29	.	.	PUNCT
cana-1311	149	1	like	like	ADP
cana-1311	149	2	other	other	ADJ
cana-1311	149	3	correlation	correlation	NOUN
cana-1311	149	4	coefficients	coefficient	NOUN
cana-1311	149	5	,	,	PUNCT
cana-1311	149	6	mcc	mcc	NOUN
cana-1311	149	7	ranges	range	VERB
cana-1311	149	8	from	from	ADP
cana-1311	149	9	[	[	X
cana-1311	149	10	-1	-1	INTJ
cana-1311	149	11	,	,	PUNCT
cana-1311	149	12	1	1	NUM
cana-1311	149	13	]	]	PUNCT
cana-1311	149	14	,	,	PUNCT
cana-1311	149	15	where	where	SCONJ
cana-1311	149	16	the	the	DET
cana-1311	149	17	lower	low	ADJ
cana-1311	149	18	end	end	NOUN
cana-1311	149	19	of	of	ADP
cana-1311	149	20	the	the	DET
cana-1311	149	21	scale	scale	NOUN
cana-1311	149	22	indicates	indicate	VERB
cana-1311	149	23	poor	poor	ADJ
cana-1311	149	24	performance	performance	NOUN
cana-1311	149	25	,	,	PUNCT
cana-1311	149	26	0	0	NUM
cana-1311	149	27	indicates	indicate	VERB
cana-1311	149	28	no	no	DET
cana-1311	149	29	correlation	correlation	NOUN
cana-1311	149	30	and	and	CCONJ
cana-1311	149	31	1	1	NUM
cana-1311	149	32	indicates	indicate	VERB
cana-1311	149	33	an	an	DET
cana-1311	149	34	excellent	excellent	ADJ
cana-1311	149	35	feature	feature	NOUN
cana-1311	149	36	in	in	ADP
cana-1311	149	37	classifying	classify	VERB
cana-1311	149	38	the	the	DET
cana-1311	149	39	outcomes	outcome	NOUN
cana-1311	149	40	.	.	PUNCT
cana-1311	150	1	the	the	DET
cana-1311	150	2	equation	equation	NOUN
cana-1311	150	3	to	to	PART
cana-1311	150	4	calculate	calculate	VERB
cana-1311	150	5	mcc	mcc	PROPN
cana-1311	150	6	is	be	AUX
cana-1311	150	7	given	give	VERB
cana-1311	150	8	by	by	ADP
cana-1311	150	9	:	:	PUNCT
cana-1311	150	10	√	√	PROPN
cana-1311	150	11	(	(	PUNCT
cana-1311	150	12	)	)	PUNCT
cana-1311	150	13	(	(	PUNCT
cana-1311	150	14	)	)	PUNCT
cana-1311	150	15	(	(	PUNCT
cana-1311	150	16	)	)	PUNCT
cana-1311	150	17	(	(	PUNCT
cana-1311	150	18	)	)	PUNCT
cana-1311	150	19	3.2.6	3.2.6	X
cana-1311	150	20	.	.	PUNCT
cana-1311	151	1	receiver	receiver	ADJ
cana-1311	151	2	operating	operate	VERB
cana-1311	151	3	characteristic	characteristic	ADJ
cana-1311	151	4	curve	curve	NOUN
cana-1311	151	5	the	the	DET
cana-1311	151	6	rocc	rocc	NOUN
cana-1311	151	7	is	be	AUX
cana-1311	151	8	a	a	DET
cana-1311	151	9	visual	visual	ADJ
cana-1311	151	10	representation	representation	NOUN
cana-1311	151	11	that	that	PRON
cana-1311	151	12	plots	plot	VERB
cana-1311	151	13	the	the	DET
cana-1311	151	14	proportion	proportion	NOUN
cana-1311	151	15	of	of	ADP
cana-1311	151	16	instances	instance	NOUN
cana-1311	151	17	correctly	correctly	ADV
cana-1311	151	18	classified	classify	VERB
cana-1311	151	19	as	as	ADP
cana-1311	151	20	positive	positive	ADJ
cana-1311	151	21	versus	versus	ADP
cana-1311	151	22	the	the	DET
cana-1311	151	23	proportion	proportion	NOUN
cana-1311	151	24	incorrectly	incorrectly	ADV
cana-1311	151	25	classified	classify	VERB
cana-1311	151	26	as	as	ADP
cana-1311	151	27	positive	positive	ADJ
cana-1311	151	28	for	for	ADP
cana-1311	151	29	multiple	multiple	ADJ
cana-1311	151	30	decision	decision	NOUN
cana-1311	151	31	cut	cut	VERB
cana-1311	151	32	-	-	PUNCT
cana-1311	151	33	off	off	ADP
cana-1311	151	34	points	point	NOUN
cana-1311	151	35	.	.	PUNCT
cana-1311	152	1	tpr	tpr	PROPN
cana-1311	152	2	is	be	AUX
cana-1311	152	3	also	also	ADV
cana-1311	152	4	referred	refer	VERB
cana-1311	152	5	to	to	ADP
cana-1311	152	6	as	as	ADP
cana-1311	152	7	sensitivity	sensitivity	NOUN
cana-1311	152	8	or	or	CCONJ
cana-1311	152	9	recall	recall	NOUN
cana-1311	152	10	while	while	SCONJ
cana-1311	152	11	fpr	fpr	NOUN
cana-1311	152	12	is	be	AUX
cana-1311	152	13	equal	equal	ADJ
cana-1311	152	14	to	to	ADP
cana-1311	152	15	1specificity	1specificity	NUM
cana-1311	152	16	.	.	PUNCT
cana-1311	153	1	rocc	rocc	PROPN
cana-1311	153	2	shows	show	VERB
cana-1311	153	3	that	that	SCONJ
cana-1311	153	4	while	while	SCONJ
cana-1311	153	5	increasing	increase	VERB
cana-1311	153	6	tpr	tpr	PROPN
cana-1311	153	7	then	then	ADV
cana-1311	153	8	fpr	fpr	PRON
cana-1311	153	9	also	also	ADV
cana-1311	153	10	increases	increase	VERB
cana-1311	153	11	conversely	conversely	ADV
cana-1311	153	12	if	if	SCONJ
cana-1311	153	13	tpr	tpr	PROPN
cana-1311	153	14	decreases	decrease	VERB
cana-1311	153	15	then	then	ADV
cana-1311	153	16	fpr	fpr	VERB
cana-1311	153	17	also	also	ADV
cana-1311	153	18	decreases	decrease	VERB
cana-1311	153	19	.	.	PUNCT
cana-1311	154	1	the	the	DET
cana-1311	154	2	aurocc	aurocc	ADJ
cana-1311	154	3	(	(	PUNCT
cana-1311	154	4	area	area	NOUN
cana-1311	154	5	under	under	ADP
cana-1311	154	6	roc	roc	PROPN
cana-1311	154	7	curve	curve	NOUN
cana-1311	154	8	)	)	PUNCT
cana-1311	154	9	measure	measure	VERB
cana-1311	154	10	the	the	DET
cana-1311	154	11	area	area	NOUN
cana-1311	154	12	underneath	underneath	ADP
cana-1311	154	13	the	the	DET
cana-1311	154	14	rocc	rocc	NOUN
cana-1311	154	15	and	and	CCONJ
cana-1311	154	16	gives	give	VERB
cana-1311	154	17	a	a	DET
cana-1311	154	18	scalar	scalar	ADJ
cana-1311	154	19	value	value	NOUN
cana-1311	154	20	.	.	PUNCT
cana-1311	155	1	an	an	DET
cana-1311	155	2	aurocc	aurocc	NOUN
cana-1311	155	3	close	close	ADV
cana-1311	155	4	to	to	PART
cana-1311	155	5	1	1	NUM
cana-1311	155	6	indicates	indicate	VERB
cana-1311	155	7	good	good	ADJ
cana-1311	155	8	classification	classification	NOUN
cana-1311	155	9	while	while	SCONJ
cana-1311	155	10	values	value	NOUN
cana-1311	155	11	close	close	ADJ
cana-1311	155	12	to	to	ADP
cana-1311	155	13	0	0	NUM
cana-1311	155	14	suggest	suggest	VERB
cana-1311	155	15	poor	poor	ADJ
cana-1311	155	16	classification	classification	NOUN
cana-1311	155	17	.	.	PUNCT
cana-1311	156	1	as	as	SCONJ
cana-1311	156	2	tpr	tpr	PROPN
cana-1311	156	3	or	or	CCONJ
cana-1311	156	4	recall	recall	NOUN
cana-1311	156	5	has	have	AUX
cana-1311	156	6	already	already	ADV
cana-1311	156	7	been	be	AUX
cana-1311	156	8	given	give	VERB
cana-1311	156	9	,	,	PUNCT
cana-1311	156	10	the	the	DET
cana-1311	156	11	formula	formula	NOUN
cana-1311	156	12	for	for	ADP
cana-1311	156	13	fpr	fpr	NOUN
cana-1311	156	14	is	be	AUX
cana-1311	156	15	expressed	express	VERB
cana-1311	156	16	as	as	ADP
cana-1311	156	17	:	:	PUNCT
cana-1311	156	18	3.3	3.3	NUM
cana-1311	156	19	.	.	PUNCT
cana-1311	157	1	data	datum	NOUN
cana-1311	157	2	description	description	NOUN
cana-1311	157	3	and	and	CCONJ
cana-1311	157	4	pre	pre	ADJ
cana-1311	157	5	-	-	ADJ
cana-1311	157	6	processing	process	VERB
cana-1311	157	7	the	the	DET
cana-1311	157	8	current	current	ADJ
cana-1311	157	9	study	study	NOUN
cana-1311	157	10	utilizes	utilize	VERB
cana-1311	157	11	air	air	NOUN
cana-1311	157	12	quality	quality	PROPN
cana-1311	157	13	data	datum	NOUN
cana-1311	157	14	in	in	ADP
cana-1311	157	15	india	india	PROPN
cana-1311	157	16	within	within	ADP
cana-1311	157	17	the	the	DET
cana-1311	157	18	years	year	NOUN
cana-1311	157	19	2015	2015	NUM
cana-1311	157	20	-	-	SYM
cana-1311	157	21	2020	2020	NUM
cana-1311	157	22	retrieved	retrieve	VERB
cana-1311	157	23	from	from	ADP
cana-1311	157	24	kaggle	kaggle	NOUN
cana-1311	157	25	[	[	X
cana-1311	157	26	2	2	NUM
cana-1311	157	27	]	]	PUNCT
cana-1311	157	28	.	.	PUNCT
cana-1311	158	1	this	this	DET
cana-1311	158	2	dataset	dataset	NOUN
cana-1311	158	3	comprises	comprise	VERB
cana-1311	158	4	hourly	hourly	ADJ
cana-1311	158	5	and	and	CCONJ
cana-1311	158	6	daily	daily	ADJ
cana-1311	158	7	aqi	aqi	PROPN
cana-1311	158	8	data	datum	NOUN
cana-1311	158	9	collected	collect	VERB
cana-1311	158	10	at	at	ADP
cana-1311	158	11	multiple	multiple	ADJ
cana-1311	158	12	monitoring	monitoring	NOUN
cana-1311	158	13	sites	site	NOUN
cana-1311	158	14	distributed	distribute	VERB
cana-1311	158	15	throughout	throughout	ADP
cana-1311	158	16	different	different	ADJ
cana-1311	158	17	indian	indian	ADJ
cana-1311	158	18	municipalities	municipality	NOUN
cana-1311	158	19	,	,	PUNCT
cana-1311	158	20	namely	namely	ADV
cana-1311	158	21	ahmedabad	ahmedabad	PROPN
cana-1311	158	22	,	,	PUNCT
cana-1311	158	23	aizawl	aizawl	PROPN
cana-1311	158	24	,	,	PUNCT
cana-1311	158	25	amaravati	amaravati	PROPN
cana-1311	158	26	,	,	PUNCT
cana-1311	158	27	amritsar	amritsar	PROPN
cana-1311	158	28	,	,	PUNCT
cana-1311	158	29	bangalore	bangalore	NOUN
cana-1311	158	30	,	,	PUNCT
cana-1311	158	31	bhopal	bhopal	NOUN
cana-1311	158	32	,	,	PUNCT
cana-1311	158	33	brajrajnagar	brajrajnagar	ADJ
cana-1311	158	34	,	,	PUNCT
cana-1311	158	35	chandigarh	chandigarh	ADJ
cana-1311	158	36	,	,	PUNCT
cana-1311	158	37	chennai	chennai	PROPN
cana-1311	158	38	,	,	PUNCT
cana-1311	158	39	coimbatore	coimbatore	PROPN
cana-1311	158	40	,	,	PUNCT
cana-1311	158	41	delhi	delhi	PROPN
cana-1311	158	42	,	,	PUNCT
cana-1311	158	43	ernakulam	ernakulam	PROPN
cana-1311	158	44	,	,	PUNCT
cana-1311	158	45	gurugram	gurugram	PROPN
cana-1311	158	46	,	,	PUNCT
cana-1311	158	47	guwahati	guwahati	PROPN
cana-1311	158	48	,	,	PUNCT
cana-1311	158	49	hyderabad	hyderabad	PROPN
cana-1311	158	50	,	,	PUNCT
cana-1311	158	51	jaipur	jaipur	PROPN
cana-1311	158	52	,	,	PUNCT
cana-1311	158	53	jorapokhar	jorapokhar	PROPN
cana-1311	158	54	,	,	PUNCT
cana-1311	158	55	kochi	kochi	PROPN
cana-1311	158	56	,	,	PUNCT
cana-1311	158	57	kolkata	kolkata	PROPN
cana-1311	158	58	,	,	PUNCT
cana-1311	158	59	lucknow	lucknow	PROPN
cana-1311	158	60	,	,	PUNCT
cana-1311	158	61	mumbai	mumbai	PROPN
cana-1311	158	62	,	,	PUNCT
cana-1311	158	63	patna	patna	PROPN
cana-1311	158	64	,	,	PUNCT
cana-1311	158	65	shillong	shillong	PROPN
cana-1311	158	66	,	,	PUNCT
cana-1311	158	67	talcher	talcher	NOUN
cana-1311	158	68	,	,	PUNCT
cana-1311	158	69	thiruvananthapuram	thiruvananthapuram	PROPN
cana-1311	158	70	,	,	PUNCT
cana-1311	158	71	and	and	CCONJ
cana-1311	158	72	visakhapatnam	visakhapatnam	PROPN
cana-1311	158	73	.	.	PUNCT
cana-1311	159	1	the	the	DET
cana-1311	159	2	daily	daily	ADJ
cana-1311	159	3	data	data	NOUN
cana-1311	159	4	samples	sample	NOUN
cana-1311	159	5	consist	consist	VERB
cana-1311	159	6	of	of	ADP
cana-1311	159	7	29,532	29,532	NUM
cana-1311	159	8	rows	row	NOUN
cana-1311	159	9	and	and	CCONJ
cana-1311	159	10	16	16	NUM
cana-1311	159	11	columns	column	NOUN
cana-1311	159	12	while	while	SCONJ
cana-1311	159	13	the	the	DET
cana-1311	159	14	hourly	hourly	ADJ
cana-1311	159	15	dataset	dataset	NOUN
cana-1311	159	16	comprises	comprise	VERB
cana-1311	159	17	707,876	707,876	NUM
cana-1311	159	18	rows	row	NOUN
cana-1311	159	19	and	and	CCONJ
cana-1311	159	20	16	16	NUM
cana-1311	159	21	columns	column	NOUN
cana-1311	159	22	.	.	PUNCT
cana-1311	160	1	the	the	DET
cana-1311	160	2	columns	column	NOUN
cana-1311	160	3	in	in	ADP
cana-1311	160	4	these	these	DET
cana-1311	160	5	datasets	dataset	NOUN
cana-1311	160	6	are	be	AUX
cana-1311	160	7	city	city	NOUN
cana-1311	160	8	,	,	PUNCT
cana-1311	160	9	datetime	datetime	NOUN
cana-1311	160	10	,	,	PUNCT
cana-1311	160	11	pm2.5	pm2.5	NOUN
cana-1311	160	12	,	,	PUNCT
cana-1311	160	13	pm10	pm10	PROPN
cana-1311	160	14	,	,	PUNCT
cana-1311	160	15	no	no	INTJ
cana-1311	160	16	,	,	PUNCT
cana-1311	160	17	no2	no2	NOUN
cana-1311	160	18	,	,	PUNCT
cana-1311	160	19	nox	nox	NOUN
cana-1311	160	20	,	,	PUNCT
cana-1311	160	21	nh3	nh3	NOUN
cana-1311	160	22	,	,	PUNCT
cana-1311	160	23	co	co	NOUN
cana-1311	160	24	,	,	PUNCT
cana-1311	160	25	so2	so2	PROPN
cana-1311	160	26	,	,	PUNCT
cana-1311	160	27	o3	o3	PROPN
cana-1311	160	28	,	,	PUNCT
cana-1311	160	29	benzene	benzene	NOUN
cana-1311	160	30	,	,	PUNCT
cana-1311	160	31	toluene	toluene	NOUN
cana-1311	160	32	,	,	PUNCT
cana-1311	160	33	xylene	xylene	NOUN
cana-1311	160	34	,	,	PUNCT
cana-1311	160	35	aqi	aqi	PROPN
cana-1311	160	36	,	,	PUNCT
cana-1311	160	37	and	and	CCONJ
cana-1311	160	38	aqi_bucket	aqi_bucket	NOUN
cana-1311	160	39	.	.	PUNCT
cana-1311	161	1	the	the	DET
cana-1311	161	2	aqi_bucket	aqi_bucket	NOUN
cana-1311	161	3	has	have	VERB
cana-1311	161	4	six	six	NUM
cana-1311	161	5	levels	level	NOUN
cana-1311	161	6	such	such	ADJ
cana-1311	161	7	as	as	ADP
cana-1311	161	8	good	good	ADJ
cana-1311	161	9	,	,	PUNCT
cana-1311	161	10	satisfactory	satisfactory	ADJ
cana-1311	161	11	,	,	PUNCT
cana-1311	161	12	moderate	moderate	ADJ
cana-1311	161	13	,	,	PUNCT
cana-1311	161	14	poor	poor	ADJ
cana-1311	161	15	,	,	PUNCT
cana-1311	161	16	very	very	ADV
cana-1311	161	17	poor	poor	ADJ
cana-1311	161	18	,	,	PUNCT
cana-1311	161	19	and	and	CCONJ
cana-1311	161	20	severe	severe	ADJ
cana-1311	161	21	.	.	PUNCT
cana-1311	162	1	the	the	DET
cana-1311	162	2	data	datum	NOUN
cana-1311	162	3	has	have	AUX
cana-1311	162	4	been	be	AUX
cana-1311	162	5	filtered	filter	VERB
cana-1311	162	6	to	to	PART
cana-1311	162	7	isolate	isolate	VERB
cana-1311	162	8	guwahati	guwahati	NOUN
cana-1311	162	9	due	due	ADP
cana-1311	162	10	to	to	ADP
cana-1311	162	11	its	its	PRON
cana-1311	162	12	status	status	NOUN
cana-1311	162	13	as	as	ADP
cana-1311	162	14	the	the	DET
cana-1311	162	15	most	most	ADV
cana-1311	162	16	polluted	polluted	ADJ
cana-1311	162	17	city	city	NOUN
cana-1311	162	18	in	in	ADP
cana-1311	162	19	north	north	NOUN
cana-1311	162	20	-	-	PUNCT
cana-1311	162	21	eastern	eastern	ADJ
cana-1311	162	22	region	region	NOUN
cana-1311	162	23	of	of	ADP
cana-1311	162	24	india	india	PROPN
cana-1311	162	25	,	,	PUNCT
cana-1311	162	26	emphasizing	emphasize	VERB
cana-1311	162	27	the	the	DET
cana-1311	162	28	importance	importance	NOUN
cana-1311	162	29	of	of	ADP
cana-1311	162	30	analysing	analyse	VERB
cana-1311	162	31	communications	communication	NOUN
cana-1311	162	32	on	on	ADP
cana-1311	162	33	applied	apply	VERB
cana-1311	162	34	nonlinear	nonlinear	ADJ
cana-1311	162	35	analysis	analysis	NOUN
cana-1311	162	36	issn	issn	NOUN
cana-1311	162	37	:	:	PUNCT
cana-1311	162	38	1074	1074	NUM
cana-1311	162	39	-	-	PUNCT
cana-1311	162	40	133x	133x	NUM
cana-1311	162	41	vol	vol	NOUN
cana-1311	162	42	31	31	NUM
cana-1311	162	43	no	no	NOUN
cana-1311	162	44	.	.	PUNCT
cana-1311	163	1	7s	7	NOUN
cana-1311	163	2	(	(	PUNCT
cana-1311	163	3	2024	2024	NUM
cana-1311	163	4	)	)	PUNCT
cana-1311	163	5	336	336	NUM
cana-1311	163	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	163	7	its	its	PRON
cana-1311	163	8	pollution	pollution	NOUN
cana-1311	163	9	levels	level	NOUN
cana-1311	163	10	.	.	PUNCT
cana-1311	164	1	in	in	ADP
cana-1311	164	2	this	this	DET
cana-1311	164	3	study	study	NOUN
cana-1311	164	4	the	the	DET
cana-1311	164	5	hourly	hourly	ADJ
cana-1311	164	6	dataset	dataset	NOUN
cana-1311	164	7	is	be	AUX
cana-1311	164	8	selected	select	VERB
cana-1311	164	9	for	for	ADP
cana-1311	164	10	detailed	detailed	ADJ
cana-1311	164	11	analysis	analysis	NOUN
cana-1311	164	12	,	,	PUNCT
cana-1311	164	13	resulting	result	VERB
cana-1311	164	14	in	in	ADP
cana-1311	164	15	a	a	DET
cana-1311	164	16	subset	subset	NOUN
cana-1311	164	17	containing	contain	VERB
cana-1311	164	18	12,003	12,003	NUM
cana-1311	164	19	rows	row	NOUN
cana-1311	164	20	and	and	CCONJ
cana-1311	164	21	16	16	NUM
cana-1311	164	22	columns	column	NOUN
cana-1311	164	23	.	.	PUNCT
cana-1311	165	1	cleaning	clean	VERB
cana-1311	165	2	of	of	ADP
cana-1311	165	3	the	the	DET
cana-1311	165	4	data	datum	NOUN
cana-1311	165	5	involved	involve	VERB
cana-1311	165	6	removing	remove	VERB
cana-1311	165	7	the	the	DET
cana-1311	165	8	parameters	parameter	NOUN
cana-1311	165	9	toluene	toluene	NOUN
cana-1311	165	10	and	and	CCONJ
cana-1311	165	11	xylene	xylene	NOUN
cana-1311	165	12	using	use	VERB
cana-1311	165	13	microsoft	microsoft	PROPN
cana-1311	165	14	excel	excel	PROPN
cana-1311	165	15	,	,	PUNCT
cana-1311	165	16	as	as	SCONJ
cana-1311	165	17	these	these	DET
cana-1311	165	18	columns	column	NOUN
cana-1311	165	19	contained	contain	VERB
cana-1311	165	20	entirely	entirely	ADV
cana-1311	165	21	empty	empty	ADJ
cana-1311	165	22	values	value	NOUN
cana-1311	165	23	.	.	PUNCT
cana-1311	166	1	subsequent	subsequent	ADJ
cana-1311	166	2	pre	pre	ADJ
cana-1311	166	3	-	-	ADJ
cana-1311	166	4	processing	processing	ADJ
cana-1311	166	5	steps	step	NOUN
cana-1311	166	6	are	be	AUX
cana-1311	166	7	conducted	conduct	VERB
cana-1311	166	8	using	use	VERB
cana-1311	166	9	r	r	NOUN
cana-1311	166	10	programming	programming	NOUN
cana-1311	166	11	software	software	NOUN
cana-1311	166	12	to	to	PART
cana-1311	166	13	identify	identify	VERB
cana-1311	166	14	and	and	CCONJ
cana-1311	166	15	eliminate	eliminate	VERB
cana-1311	166	16	na	na	ADP
cana-1311	166	17	and	and	CCONJ
cana-1311	166	18	missing	miss	VERB
cana-1311	166	19	values	value	NOUN
cana-1311	166	20	.	.	PUNCT
cana-1311	167	1	after	after	ADP
cana-1311	167	2	this	this	DET
cana-1311	167	3	cleaning	cleaning	NOUN
cana-1311	167	4	process	process	NOUN
cana-1311	167	5	,	,	PUNCT
cana-1311	167	6	the	the	DET
cana-1311	167	7	dataset	dataset	NOUN
cana-1311	167	8	for	for	ADP
cana-1311	167	9	guwahati	guwahati	NOUN
cana-1311	167	10	is	be	AUX
cana-1311	167	11	refined	refine	VERB
cana-1311	167	12	to	to	PART
cana-1311	167	13	include	include	VERB
cana-1311	167	14	11,413	11,413	NUM
cana-1311	167	15	rows	row	NOUN
cana-1311	167	16	and	and	CCONJ
cana-1311	167	17	14	14	NUM
cana-1311	167	18	columns	column	NOUN
cana-1311	167	19	.	.	PUNCT
cana-1311	168	1	further	further	ADJ
cana-1311	168	2	analysis	analysis	NOUN
cana-1311	168	3	is	be	AUX
cana-1311	168	4	done	do	VERB
cana-1311	168	5	using	use	VERB
cana-1311	168	6	jasp	jasp	NOUN
cana-1311	168	7	software	software	NOUN
cana-1311	168	8	.	.	PUNCT
cana-1311	169	1	3.4	3.4	NUM
cana-1311	169	2	.	.	PUNCT
cana-1311	170	1	data	datum	NOUN
cana-1311	170	2	exploration	exploration	VERB
cana-1311	170	3	this	this	DET
cana-1311	170	4	section	section	NOUN
cana-1311	170	5	of	of	ADP
cana-1311	170	6	the	the	DET
cana-1311	170	7	present	present	ADJ
cana-1311	170	8	study	study	NOUN
cana-1311	170	9	focuses	focus	VERB
cana-1311	170	10	on	on	ADP
cana-1311	170	11	eda	eda	PROPN
cana-1311	170	12	(	(	PUNCT
cana-1311	170	13	exploratory	exploratory	ADJ
cana-1311	170	14	data	datum	NOUN
cana-1311	170	15	analysis	analysis	NOUN
cana-1311	170	16	)	)	PUNCT
cana-1311	170	17	that	that	PRON
cana-1311	170	18	is	be	AUX
cana-1311	170	19	important	important	ADJ
cana-1311	170	20	for	for	ADP
cana-1311	170	21	identification	identification	NOUN
cana-1311	170	22	of	of	ADP
cana-1311	170	23	the	the	DET
cana-1311	170	24	hidden	hide	VERB
cana-1311	170	25	patterns	pattern	NOUN
cana-1311	170	26	in	in	ADP
cana-1311	170	27	the	the	DET
cana-1311	170	28	dataset	dataset	NOUN
cana-1311	170	29	before	before	ADP
cana-1311	170	30	applying	apply	VERB
cana-1311	170	31	ml	ml	ADP
cana-1311	170	32	algorithm	algorithm	NOUN
cana-1311	170	33	.	.	PUNCT
cana-1311	171	1	descriptive	descriptive	ADJ
cana-1311	171	2	statistics	statistic	NOUN
cana-1311	171	3	for	for	ADP
cana-1311	171	4	the	the	DET
cana-1311	171	5	air	air	NOUN
cana-1311	171	6	pollutants	pollutant	NOUN
cana-1311	171	7	and	and	CCONJ
cana-1311	171	8	aqi	aqi	NOUN
cana-1311	171	9	are	be	AUX
cana-1311	171	10	computed	compute	VERB
cana-1311	171	11	to	to	PART
cana-1311	171	12	give	give	VERB
cana-1311	171	13	an	an	DET
cana-1311	171	14	overview	overview	NOUN
cana-1311	171	15	of	of	ADP
cana-1311	171	16	the	the	DET
cana-1311	171	17	data	datum	NOUN
cana-1311	171	18	.	.	PUNCT
cana-1311	172	1	the	the	DET
cana-1311	172	2	central	central	ADJ
cana-1311	172	3	tendency	tendency	NOUN
cana-1311	172	4	,	,	PUNCT
cana-1311	172	5	dispersion	dispersion	NOUN
cana-1311	172	6	and	and	CCONJ
cana-1311	172	7	range	range	NOUN
cana-1311	172	8	of	of	ADP
cana-1311	172	9	the	the	DET
cana-1311	172	10	data	datum	NOUN
cana-1311	172	11	are	be	AUX
cana-1311	172	12	presented	present	VERB
cana-1311	172	13	in	in	ADP
cana-1311	172	14	table	table	NOUN
cana-1311	172	15	2	2	NUM
cana-1311	172	16	.	.	PUNCT
cana-1311	172	17	fig	fig	NOUN
cana-1311	172	18	.	.	PUNCT
cana-1311	173	1	2	2	NUM
cana-1311	173	2	presents	present	VERB
cana-1311	173	3	the	the	DET
cana-1311	173	4	pie	pie	NOUN
cana-1311	173	5	chart	chart	NOUN
cana-1311	173	6	of	of	ADP
cana-1311	173	7	aqi	aqi	PROPN
cana-1311	173	8	levels	level	NOUN
cana-1311	173	9	in	in	ADP
cana-1311	173	10	the	the	DET
cana-1311	173	11	dataset	dataset	NOUN
cana-1311	173	12	.	.	PUNCT
cana-1311	174	1	it	it	PRON
cana-1311	174	2	is	be	AUX
cana-1311	174	3	also	also	ADV
cana-1311	174	4	observed	observe	VERB
cana-1311	174	5	that	that	SCONJ
cana-1311	174	6	all	all	DET
cana-1311	174	7	the	the	DET
cana-1311	174	8	parameters	parameter	NOUN
cana-1311	174	9	and	and	CCONJ
cana-1311	174	10	the	the	DET
cana-1311	174	11	aqi	aqi	NOUN
cana-1311	174	12	are	be	AUX
cana-1311	174	13	positively	positively	ADV
cana-1311	174	14	skewed	skewed	ADJ
cana-1311	174	15	as	as	SCONJ
cana-1311	174	16	shown	show	VERB
cana-1311	174	17	in	in	ADP
cana-1311	174	18	fig	fig	NOUN
cana-1311	174	19	.	.	PUNCT
cana-1311	175	1	3	3	NUM
cana-1311	175	2	,	,	PUNCT
cana-1311	175	3	thus	thus	ADV
cana-1311	175	4	indicating	indicate	VERB
cana-1311	175	5	that	that	SCONJ
cana-1311	175	6	the	the	DET
cana-1311	175	7	data	datum	NOUN
cana-1311	175	8	was	be	AUX
cana-1311	175	9	not	not	PART
cana-1311	175	10	normally	normally	ADV
cana-1311	175	11	distributed	distribute	VERB
cana-1311	175	12	.	.	PUNCT
cana-1311	176	1	additionally	additionally	ADV
cana-1311	176	2	,	,	PUNCT
cana-1311	176	3	to	to	PART
cana-1311	176	4	understand	understand	VERB
cana-1311	176	5	the	the	DET
cana-1311	176	6	relationship	relationship	NOUN
cana-1311	176	7	between	between	ADP
cana-1311	176	8	the	the	DET
cana-1311	176	9	various	various	ADJ
cana-1311	176	10	air	air	NOUN
cana-1311	176	11	contaminants	contaminant	NOUN
cana-1311	176	12	and	and	CCONJ
cana-1311	176	13	how	how	SCONJ
cana-1311	176	14	they	they	PRON
cana-1311	176	15	affect	affect	VERB
cana-1311	176	16	the	the	DET
cana-1311	176	17	aqi	aqi	PROPN
cana-1311	176	18	,	,	PUNCT
cana-1311	176	19	spearman	spearman	NOUN
cana-1311	176	20	’s	’s	PART
cana-1311	176	21	correlation	correlation	NOUN
cana-1311	176	22	heat	heat	NOUN
cana-1311	176	23	map	map	NOUN
cana-1311	176	24	is	be	AUX
cana-1311	176	25	created	create	VERB
cana-1311	176	26	and	and	CCONJ
cana-1311	176	27	shown	show	VERB
cana-1311	176	28	in	in	ADP
cana-1311	176	29	fig	fig	NOUN
cana-1311	176	30	.	.	PUNCT
cana-1311	177	1	3	3	X
cana-1311	177	2	.	.	X
cana-1311	178	1	this	this	DET
cana-1311	178	2	heat	heat	NOUN
cana-1311	178	3	map	map	NOUN
cana-1311	178	4	ranges	range	VERB
cana-1311	178	5	from	from	ADP
cana-1311	178	6	-1	-1	INTJ
cana-1311	178	7	to	to	ADP
cana-1311	178	8	+1	+1	PROPN
cana-1311	178	9	,	,	PUNCT
cana-1311	178	10	with	with	ADP
cana-1311	178	11	colour	colour	NOUN
cana-1311	178	12	intensity	intensity	NOUN
cana-1311	178	13	representing	represent	VERB
cana-1311	178	14	the	the	DET
cana-1311	178	15	degree	degree	NOUN
cana-1311	178	16	of	of	ADP
cana-1311	178	17	correlation	correlation	NOUN
cana-1311	178	18	.	.	PUNCT
cana-1311	179	1	from	from	ADP
cana-1311	179	2	this	this	DET
cana-1311	179	3	correlation	correlation	NOUN
cana-1311	179	4	heat	heat	NOUN
cana-1311	179	5	map	map	NOUN
cana-1311	179	6	,	,	PUNCT
cana-1311	179	7	it	it	PRON
cana-1311	179	8	is	be	AUX
cana-1311	179	9	observed	observe	VERB
cana-1311	179	10	that	that	SCONJ
cana-1311	179	11	the	the	DET
cana-1311	179	12	correlation	correlation	NOUN
cana-1311	179	13	coefficient	coefficient	NOUN
cana-1311	179	14	between	between	ADP
cana-1311	179	15	aqi	aqi	PROPN
cana-1311	179	16	and	and	CCONJ
cana-1311	179	17	pm10	pm10	PROPN
cana-1311	179	18	is	be	AUX
cana-1311	179	19	0.772	0.772	NUM
cana-1311	179	20	while	while	SCONJ
cana-1311	179	21	aqi	aqi	ADJ
cana-1311	179	22	and	and	CCONJ
cana-1311	179	23	pm2.5	pm2.5	PROPN
cana-1311	179	24	is	be	AUX
cana-1311	179	25	0.752	0.752	NUM
cana-1311	179	26	.	.	PUNCT
cana-1311	180	1	similarly	similarly	ADV
cana-1311	180	2	,	,	PUNCT
cana-1311	180	3	0.692	0.692	NUM
cana-1311	180	4	for	for	ADP
cana-1311	180	5	nh3	nh3	NOUN
cana-1311	180	6	,	,	PUNCT
cana-1311	180	7	0.534	0.534	NUM
cana-1311	180	8	for	for	ADP
cana-1311	180	9	co	co	NOUN
cana-1311	180	10	,	,	PUNCT
cana-1311	180	11	0.532	0.532	NUM
cana-1311	180	12	for	for	ADP
cana-1311	180	13	nox	nox	NOUN
cana-1311	180	14	and	and	CCONJ
cana-1311	180	15	0.518	0.518	NUM
cana-1311	180	16	for	for	ADP
cana-1311	180	17	benzene	benzene	NOUN
cana-1311	180	18	.	.	PUNCT
cana-1311	181	1	so	so	ADV
cana-1311	181	2	,	,	PUNCT
cana-1311	181	3	correlation	correlation	NOUN
cana-1311	181	4	heat	heat	NOUN
cana-1311	181	5	map	map	NOUN
cana-1311	181	6	indicates	indicate	VERB
cana-1311	181	7	that	that	SCONJ
cana-1311	181	8	pm10	pm10	PROPN
cana-1311	181	9	and	and	CCONJ
cana-1311	181	10	pm2.5	pm2.5	PROPN
cana-1311	181	11	followed	follow	VERB
cana-1311	181	12	by	by	ADP
cana-1311	181	13	nh3	nh3	PROPN
cana-1311	181	14	,	,	PUNCT
cana-1311	181	15	co	co	NOUN
cana-1311	181	16	,	,	PUNCT
cana-1311	181	17	nox	nox	NOUN
cana-1311	181	18	and	and	CCONJ
cana-1311	181	19	benzene	benzene	NOUN
cana-1311	181	20	emerge	emerge	VERB
cana-1311	181	21	as	as	ADP
cana-1311	181	22	the	the	DET
cana-1311	181	23	primary	primary	ADJ
cana-1311	181	24	drivers	driver	NOUN
cana-1311	181	25	in	in	ADP
cana-1311	181	26	estimating	estimate	VERB
cana-1311	181	27	the	the	DET
cana-1311	181	28	aqi	aqi	ADJ
cana-1311	181	29	values	value	NOUN
cana-1311	181	30	.	.	PUNCT
cana-1311	182	1	among	among	ADP
cana-1311	182	2	the	the	DET
cana-1311	182	3	air	air	NOUN
cana-1311	182	4	pollutants	pollutant	NOUN
cana-1311	182	5	,	,	PUNCT
cana-1311	182	6	pm2.5	pm2.5	PROPN
cana-1311	182	7	has	have	VERB
cana-1311	182	8	a	a	DET
cana-1311	182	9	strong	strong	ADJ
cana-1311	182	10	relationship	relationship	NOUN
cana-1311	182	11	with	with	ADP
cana-1311	182	12	pm10	pm10	PROPN
cana-1311	182	13	as	as	SCONJ
cana-1311	182	14	both	both	PRON
cana-1311	182	15	falls	fall	VERB
cana-1311	182	16	under	under	ADP
cana-1311	182	17	the	the	DET
cana-1311	182	18	category	category	NOUN
cana-1311	182	19	of	of	ADP
cana-1311	182	20	particulate	particulate	NOUN
cana-1311	182	21	matter	matter	NOUN
cana-1311	182	22	.	.	PUNCT
cana-1311	183	1	the	the	DET
cana-1311	183	2	presence	presence	NOUN
cana-1311	183	3	of	of	ADP
cana-1311	183	4	strong	strong	ADJ
cana-1311	183	5	association	association	NOUN
cana-1311	183	6	is	be	AUX
cana-1311	183	7	also	also	ADV
cana-1311	183	8	found	find	VERB
cana-1311	183	9	between	between	ADP
cana-1311	183	10	no	no	PRON
cana-1311	183	11	and	and	CCONJ
cana-1311	183	12	nox	nox	NOUN
cana-1311	183	13	.	.	NOUN
cana-1311	183	14	table	table	NOUN
cana-1311	183	15	2	2	NUM
cana-1311	183	16	:	:	PUNCT
cana-1311	183	17	summary	summary	NOUN
cana-1311	183	18	statistics	statistic	NOUN
cana-1311	183	19	of	of	ADP
cana-1311	183	20	air	air	NOUN
cana-1311	183	21	quality	quality	NOUN
cana-1311	183	22	indicators	indicator	NOUN
cana-1311	183	23	.	.	PUNCT
cana-1311	184	1	attributes	attribute	NOUN
cana-1311	184	2	count	count	VERB
cana-1311	185	1	mean	mean	ADJ
cana-1311	185	2	std	std	PROPN
cana-1311	185	3	.	.	PROPN
cana-1311	185	4	dev	dev	PROPN
cana-1311	185	5	min	min	PROPN
cana-1311	185	6	.	.	PROPN
cana-1311	185	7	value	value	PROPN
cana-1311	185	8	iqr1	iqr1	PROPN
cana-1311	185	9	iqr2	iqr2	PROPN
cana-1311	185	10	iqr3	iqr3	PROPN
cana-1311	185	11	max	max	PROPN
cana-1311	185	12	.	.	PROPN
cana-1311	185	13	value	value	PROPN
cana-1311	185	14	pm2.5	pm2.5	PROPN
cana-1311	185	15	11413	11413	NUM
cana-1311	185	16	61.364	61.364	NUM
cana-1311	185	17	70.823	70.823	NUM
cana-1311	185	18	0.06	0.06	NUM
cana-1311	185	19	19	19	NUM
cana-1311	185	20	38.08	38.08	NUM
cana-1311	185	21	80.31	80.31	NUM
cana-1311	185	22	923.08	923.08	NUM
cana-1311	185	23	pm10	pm10	PROPN
cana-1311	185	24	11413	11413	NUM
cana-1311	185	25	112.882	112.882	NUM
cana-1311	185	26	134.467	134.467	NUM
cana-1311	185	27	1.11	1.11	NUM
cana-1311	185	28	33.73	33.73	NUM
cana-1311	185	29	68.23	68.23	NUM
cana-1311	185	30	141.42	141.42	NUM
cana-1311	185	31	1000	1000	NUM
cana-1311	185	32	no	no	DET
cana-1311	185	33	11413	11413	NUM
cana-1311	185	34	19.888	19.888	NUM
cana-1311	185	35	31.743	31.743	NUM
cana-1311	185	36	0.21	0.21	NUM
cana-1311	185	37	1.62	1.62	NUM
cana-1311	185	38	4.57	4.57	NUM
cana-1311	185	39	21.66	21.66	NUM
cana-1311	185	40	185.27	185.27	NUM
cana-1311	185	41	no2	no2	NOUN
cana-1311	185	42	11413	11413	NUM
cana-1311	185	43	13.664	13.664	NUM
cana-1311	185	44	10.925	10.925	NUM
cana-1311	185	45	1.35	1.35	NUM
cana-1311	185	46	6.83	6.83	NUM
cana-1311	185	47	10.18	10.18	NUM
cana-1311	185	48	16.32	16.32	NUM
cana-1311	185	49	107.04	107.04	NUM
cana-1311	185	50	nox	nox	NOUN
cana-1311	185	51	11413	11413	NUM
cana-1311	185	52	44.091	44.091	NUM
cana-1311	186	1	56.678	56.678	NUM
cana-1311	186	2	0.81	0.81	NUM
cana-1311	186	3	9.38	9.38	NUM
cana-1311	186	4	19.09	19.09	NUM
cana-1311	186	5	50.59	50.59	NUM
cana-1311	186	6	319.65	319.65	NUM
cana-1311	186	7	nh3	nh3	NOUN
cana-1311	186	8	11413	11413	NUM
cana-1311	186	9	10.794	10.794	NUM
cana-1311	186	10	7.658	7.658	NUM
cana-1311	186	11	0.11	0.11	NUM
cana-1311	186	12	4.45	4.45	NUM
cana-1311	186	13	8.79	8.79	NUM
cana-1311	186	14	16.22	16.22	NUM
cana-1311	186	15	47.98	47.98	NUM
cana-1311	186	16	co	co	NOUN
cana-1311	186	17	11413	11413	NUM
cana-1311	186	18	0.734	0.734	NUM
cana-1311	186	19	0.617	0.617	NUM
cana-1311	186	20	0	0	NUM
cana-1311	186	21	0.37	0.37	NUM
cana-1311	186	22	0.51	0.51	NUM
cana-1311	186	23	0.88	0.88	NUM
cana-1311	186	24	6.6	6.6	NUM
cana-1311	186	25	so2	so2	NOUN
cana-1311	186	26	11413	11413	NUM
cana-1311	186	27	14.577	14.577	NUM
cana-1311	186	28	4.697	4.697	NUM
cana-1311	186	29	3.91	3.91	NUM
cana-1311	186	30	11.82	11.82	NUM
cana-1311	186	31	13.97	13.97	NUM
cana-1311	186	32	15.95	15.95	NUM
cana-1311	186	33	140.84	140.84	NUM
cana-1311	186	34	o3	o3	PROPN
cana-1311	186	35	11413	11413	NUM
cana-1311	186	36	25.127	25.127	NUM
cana-1311	186	37	17.763	17.763	NUM
cana-1311	186	38	0.28	0.28	NUM
cana-1311	186	39	17.32	17.32	NUM
cana-1311	186	40	18.38	18.38	NUM
cana-1311	186	41	27.79	27.79	NUM
cana-1311	186	42	163.17	163.17	NUM
cana-1311	186	43	benzene	benzene	NOUN
cana-1311	186	44	11413	11413	NUM
cana-1311	186	45	2.386	2.386	NUM
cana-1311	186	46	18.721	18.721	NUM
cana-1311	186	47	0	0	NUM
cana-1311	186	48	0	0	NUM
cana-1311	186	49	0.19	0.19	NUM
cana-1311	186	50	0.92	0.92	NUM
cana-1311	186	51	491.51	491.51	NUM
cana-1311	186	52	aqi	aqi	NOUN
cana-1311	186	53	11413	11413	NUM
cana-1311	186	54	140.026	140.026	NUM
cana-1311	186	55	115.633	115.633	NUM
cana-1311	186	56	18	18	NUM
cana-1311	186	57	52	52	NUM
cana-1311	186	58	98	98	NUM
cana-1311	186	59	213	213	NUM
cana-1311	186	60	1109	1109	NUM
cana-1311	186	61	fig	fig	NOUN
cana-1311	186	62	.	.	PUNCT
cana-1311	187	1	2	2	NUM
cana-1311	187	2	:	:	PUNCT
cana-1311	187	3	pie	pie	NOUN
cana-1311	187	4	-	-	PUNCT
cana-1311	187	5	chart	chart	NOUN
cana-1311	187	6	of	of	ADP
cana-1311	187	7	aqi	aqi	PROPN
cana-1311	187	8	levels	level	NOUN
cana-1311	187	9	in	in	ADP
cana-1311	187	10	the	the	DET
cana-1311	187	11	datasets	dataset	NOUN
cana-1311	187	12	.	.	PUNCT
cana-1311	188	1	communications	communication	NOUN
cana-1311	188	2	on	on	ADP
cana-1311	188	3	applied	apply	VERB
cana-1311	188	4	nonlinear	nonlinear	ADJ
cana-1311	188	5	analysis	analysis	NOUN
cana-1311	188	6	issn	issn	NOUN
cana-1311	188	7	:	:	PUNCT
cana-1311	188	8	1074	1074	NUM
cana-1311	188	9	-	-	PUNCT
cana-1311	188	10	133x	133x	NUM
cana-1311	188	11	vol	vol	NOUN
cana-1311	188	12	31	31	NUM
cana-1311	188	13	no	no	NOUN
cana-1311	188	14	.	.	PUNCT
cana-1311	189	1	7s	7	NOUN
cana-1311	189	2	(	(	PUNCT
cana-1311	189	3	2024	2024	NUM
cana-1311	189	4	)	)	PUNCT
cana-1311	189	5	337	337	NUM
cana-1311	189	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	189	7	fig	fig	NOUN
cana-1311	189	8	.	.	PUNCT
cana-1311	190	1	3	3	NUM
cana-1311	190	2	:	:	PUNCT
cana-1311	190	3	heat	heat	NOUN
cana-1311	190	4	map	map	NOUN
cana-1311	190	5	of	of	ADP
cana-1311	190	6	correlation	correlation	NOUN
cana-1311	190	7	matrix	matrix	NOUN
cana-1311	190	8	.	.	PUNCT
cana-1311	191	1	3.5	3.5	NUM
cana-1311	191	2	.	.	PUNCT
cana-1311	191	3	transformation	transformation	NOUN
cana-1311	191	4	of	of	ADP
cana-1311	191	5	data	datum	NOUN
cana-1311	191	6	to	to	PART
cana-1311	191	7	achieve	achieve	VERB
cana-1311	191	8	better	well	ADJ
cana-1311	191	9	results	result	NOUN
cana-1311	191	10	with	with	ADP
cana-1311	191	11	ml	ml	NOUN
cana-1311	191	12	methods	method	NOUN
cana-1311	191	13	,	,	PUNCT
cana-1311	191	14	working	work	VERB
cana-1311	191	15	with	with	ADP
cana-1311	191	16	normally	normally	ADV
cana-1311	191	17	distributed	distribute	VERB
cana-1311	191	18	data	data	NOUN
cana-1311	191	19	is	be	AUX
cana-1311	191	20	crucial	crucial	ADJ
cana-1311	191	21	,	,	PUNCT
cana-1311	191	22	especially	especially	ADV
cana-1311	191	23	when	when	SCONJ
cana-1311	191	24	dealing	deal	VERB
cana-1311	191	25	with	with	ADP
cana-1311	191	26	positively	positively	ADV
cana-1311	191	27	skewed	skewed	ADJ
cana-1311	191	28	datasets	dataset	NOUN
cana-1311	191	29	.	.	PUNCT
cana-1311	192	1	in	in	ADP
cana-1311	192	2	this	this	DET
cana-1311	192	3	study	study	NOUN
cana-1311	192	4	,	,	PUNCT
cana-1311	192	5	the	the	DET
cana-1311	192	6	distributions	distribution	NOUN
cana-1311	192	7	of	of	ADP
cana-1311	192	8	different	different	ADJ
cana-1311	192	9	air	air	NOUN
cana-1311	192	10	pollutants	pollutant	NOUN
cana-1311	192	11	and	and	CCONJ
cana-1311	192	12	aqi	aqi	PROPN
cana-1311	192	13	have	have	AUX
cana-1311	192	14	been	be	AUX
cana-1311	192	15	transformed	transform	VERB
cana-1311	192	16	using	use	VERB
cana-1311	192	17	three	three	NUM
cana-1311	192	18	distinct	distinct	ADJ
cana-1311	192	19	methods	method	NOUN
cana-1311	192	20	:	:	PUNCT
cana-1311	192	21	a	a	DET
cana-1311	192	22	square	square	ADJ
cana-1311	192	23	-	-	PUNCT
cana-1311	192	24	root	root	NOUN
cana-1311	192	25	transformation	transformation	NOUN
cana-1311	192	26	,	,	PUNCT
cana-1311	192	27	a	a	DET
cana-1311	192	28	log	log	NOUN
cana-1311	192	29	-	-	PUNCT
cana-1311	192	30	normal	normal	ADJ
cana-1311	192	31	transformation	transformation	NOUN
cana-1311	192	32	and	and	CCONJ
cana-1311	192	33	a	a	DET
cana-1311	192	34	box	box	NOUN
cana-1311	192	35	-	-	PUNCT
cana-1311	192	36	cox	cox	NOUN
cana-1311	192	37	transformation	transformation	NOUN
cana-1311	192	38	.	.	PUNCT
cana-1311	193	1	among	among	ADP
cana-1311	193	2	these	these	DET
cana-1311	193	3	methods	method	NOUN
cana-1311	193	4	,	,	PUNCT
cana-1311	193	5	the	the	DET
cana-1311	193	6	transformation	transformation	NOUN
cana-1311	193	7	that	that	PRON
cana-1311	193	8	gives	give	VERB
cana-1311	193	9	values	value	NOUN
cana-1311	193	10	closest	close	ADJ
cana-1311	193	11	to	to	ADP
cana-1311	193	12	a	a	DET
cana-1311	193	13	normal	normal	ADJ
cana-1311	193	14	distribution	distribution	NOUN
cana-1311	193	15	has	have	AUX
cana-1311	193	16	been	be	AUX
cana-1311	193	17	selected	select	VERB
cana-1311	193	18	based	base	VERB
cana-1311	193	19	on	on	ADP
cana-1311	193	20	skewness	skewness	NOUN
cana-1311	193	21	and	and	CCONJ
cana-1311	193	22	kurtosis	kurtosis	VERB
cana-1311	193	23	metrics	metric	NOUN
cana-1311	193	24	.	.	PUNCT
cana-1311	194	1	the	the	DET
cana-1311	194	2	acceptable	acceptable	ADJ
cana-1311	194	3	range	range	NOUN
cana-1311	194	4	of	of	ADP
cana-1311	194	5	skewness	skewness	NOUN
cana-1311	194	6	is	be	AUX
cana-1311	194	7	usually	usually	ADV
cana-1311	194	8	from	from	ADP
cana-1311	194	9	-3	-3	PUNCT
cana-1311	194	10	and	and	CCONJ
cana-1311	194	11	+3	+3	PROPN
cana-1311	194	12	,	,	PUNCT
cana-1311	194	13	while	while	SCONJ
cana-1311	194	14	the	the	DET
cana-1311	194	15	acceptable	acceptable	ADJ
cana-1311	194	16	range	range	NOUN
cana-1311	194	17	for	for	ADP
cana-1311	194	18	kurtosis	kurtosis	NOUN
cana-1311	194	19	is	be	AUX
cana-1311	194	20	between	between	ADP
cana-1311	194	21	-10	-10	PUNCT
cana-1311	194	22	and	and	CCONJ
cana-1311	194	23	+10	+10	NOUN
cana-1311	194	24	[	[	X
cana-1311	194	25	43	43	NUM
cana-1311	194	26	]	]	PUNCT
cana-1311	194	27	.	.	PUNCT
cana-1311	195	1	these	these	DET
cana-1311	195	2	ranges	range	NOUN
cana-1311	195	3	indicate	indicate	VERB
cana-1311	195	4	that	that	SCONJ
cana-1311	195	5	the	the	DET
cana-1311	195	6	data	data	NOUN
cana-1311	195	7	distribution	distribution	NOUN
cana-1311	195	8	is	be	AUX
cana-1311	195	9	almost	almost	ADV
cana-1311	195	10	normal	normal	ADJ
cana-1311	195	11	.	.	PUNCT
cana-1311	196	1	table	table	NOUN
cana-1311	196	2	3	3	NUM
cana-1311	196	3	illustrates	illustrate	VERB
cana-1311	196	4	asymmetry	asymmetry	NOUN
cana-1311	196	5	(	(	PUNCT
cana-1311	196	6	skewness	skewness	NOUN
cana-1311	196	7	)	)	PUNCT
cana-1311	196	8	and	and	CCONJ
cana-1311	196	9	peakedness	peakedness	NOUN
cana-1311	196	10	(	(	PUNCT
cana-1311	196	11	kurtosis	kurtosis	NOUN
cana-1311	196	12	)	)	PUNCT
cana-1311	196	13	measures	measure	NOUN
cana-1311	196	14	of	of	ADP
cana-1311	196	15	key	key	ADJ
cana-1311	196	16	atmospheric	atmospheric	ADJ
cana-1311	196	17	contaminants	contaminant	NOUN
cana-1311	196	18	with	with	ADP
cana-1311	196	19	and	and	CCONJ
cana-1311	196	20	without	without	ADP
cana-1311	196	21	applying	apply	VERB
cana-1311	196	22	transformations	transformation	NOUN
cana-1311	196	23	.	.	PUNCT
cana-1311	197	1	fig	fig	NOUN
cana-1311	197	2	.	.	PUNCT
cana-1311	198	1	4	4	NUM
cana-1311	198	2	and	and	CCONJ
cana-1311	198	3	fig	fig	NOUN
cana-1311	198	4	.	.	PUNCT
cana-1311	199	1	5	5	NUM
cana-1311	199	2	illustrates	illustrate	VERB
cana-1311	199	3	the	the	DET
cana-1311	199	4	transformation	transformation	NOUN
cana-1311	199	5	showing	show	VERB
cana-1311	199	6	a	a	DET
cana-1311	199	7	clear	clear	ADJ
cana-1311	199	8	enhancement	enhancement	NOUN
cana-1311	199	9	in	in	ADP
cana-1311	199	10	the	the	DET
cana-1311	199	11	distribution	distribution	NOUN
cana-1311	199	12	of	of	ADP
cana-1311	199	13	the	the	DET
cana-1311	199	14	data	datum	NOUN
cana-1311	199	15	.	.	PUNCT
cana-1311	200	1	table	table	NOUN
cana-1311	200	2	3	3	NUM
cana-1311	200	3	:	:	PUNCT
cana-1311	200	4	comparison	comparison	NOUN
cana-1311	200	5	of	of	ADP
cana-1311	200	6	skewness	skewness	NOUN
cana-1311	200	7	and	and	CCONJ
cana-1311	200	8	kurtosis	kurtosis	VERB
cana-1311	200	9	with	with	ADP
cana-1311	200	10	and	and	CCONJ
cana-1311	200	11	without	without	ADP
cana-1311	200	12	transformations	transformation	NOUN
cana-1311	200	13	.	.	PUNCT
cana-1311	201	1	attributes	attribute	NOUN
cana-1311	201	2	without	without	ADP
cana-1311	201	3	transformation	transformation	NOUN
cana-1311	201	4	with	with	ADP
cana-1311	201	5	transformation	transformation	NOUN
cana-1311	201	6	skewness	skewness	NOUN
cana-1311	201	7	kurtosis	kurtosis	VERB
cana-1311	201	8	skewness	skewness	NOUN
cana-1311	201	9	kurtosis	kurtosis	VERB
cana-1311	201	10	pm2.5	pm2.5	DET
cana-1311	201	11	3.983	3.983	NUM
cana-1311	201	12	28.258	28.258	NUM
cana-1311	201	13	-0.25	-0.25	NUM
cana-1311	201	14	0.752	0.752	NUM
cana-1311	201	15	pm10	pm10	PROPN
cana-1311	201	16	3.429	3.429	NUM
cana-1311	201	17	16.221	16.221	NUM
cana-1311	201	18	-0.042	-0.042	PUNCT
cana-1311	201	19	-0.289	-0.289	PRON
cana-1311	201	20	communications	communication	NOUN
cana-1311	201	21	on	on	ADP
cana-1311	201	22	applied	apply	VERB
cana-1311	201	23	nonlinear	nonlinear	ADJ
cana-1311	201	24	analysis	analysis	NOUN
cana-1311	201	25	issn	issn	NOUN
cana-1311	201	26	:	:	PUNCT
cana-1311	201	27	1074	1074	NUM
cana-1311	201	28	-	-	PUNCT
cana-1311	201	29	133x	133x	NUM
cana-1311	201	30	vol	vol	NOUN
cana-1311	201	31	31	31	NUM
cana-1311	201	32	no	no	NOUN
cana-1311	201	33	.	.	PUNCT
cana-1311	202	1	7s	7	NOUN
cana-1311	202	2	(	(	PUNCT
cana-1311	202	3	2024	2024	NUM
cana-1311	202	4	)	)	PUNCT
cana-1311	202	5	338	338	NUM
cana-1311	202	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	202	7	no	no	DET
cana-1311	202	8	2.097	2.097	NUM
cana-1311	202	9	3.87	3.87	NUM
cana-1311	202	10	-0.188	-0.188	NOUN
cana-1311	202	11	-0.882	-0.882	PROPN
cana-1311	202	12	no2	no2	PROPN
cana-1311	202	13	2.471	2.471	NUM
cana-1311	202	14	8.308	8.308	NUM
cana-1311	202	15	0.45	0.45	NUM
cana-1311	202	16	-0.075	-0.075	PROPN
cana-1311	202	17	nox	nox	NOUN
cana-1311	202	18	1.931	1.931	NUM
cana-1311	202	19	3.146	3.146	NUM
cana-1311	202	20	0.027	0.027	NUM
cana-1311	202	21	-0.676	-0.676	X
cana-1311	202	22	nh3	nh3	NOUN
cana-1311	202	23	0.825	0.825	NUM
cana-1311	202	24	0.247	0.247	NUM
cana-1311	202	25	-0.059	-0.059	NUM
cana-1311	202	26	-0.839	-0.839	PUNCT
cana-1311	202	27	co	co	VERB
cana-1311	202	28	2.801	2.801	NUM
cana-1311	202	29	10.915	10.915	NUM
cana-1311	202	30	0.014	0.014	NUM
cana-1311	202	31	2.609	2.609	NUM
cana-1311	202	32	so2	so2	NOUN
cana-1311	202	33	5.869	5.869	NUM
cana-1311	202	34	81.651	81.651	NUM
cana-1311	202	35	-0.1	-0.1	NUM
cana-1311	202	36	2.296	2.296	NUM
cana-1311	202	37	o3	o3	PROPN
cana-1311	202	38	1.938	1.938	NUM
cana-1311	202	39	4.34	4.34	NUM
cana-1311	202	40	0.052	0.052	NUM
cana-1311	202	41	1.593	1.593	NUM
cana-1311	202	42	benzene	benzene	NOUN
cana-1311	202	43	14.644	14.644	NUM
cana-1311	202	44	257.663	257.663	NUM
cana-1311	202	45	0.008	0.008	NUM
cana-1311	202	46	-1.208	-1.208	NOUN
cana-1311	202	47	aqi	aqi	PROPN
cana-1311	202	48	2.006	2.006	NUM
cana-1311	202	49	9.21	9.21	NUM
cana-1311	202	50	0.021	0.021	NUM
cana-1311	202	51	-1.106	-1.106	PUNCT
cana-1311	202	52	fig	fig	NOUN
cana-1311	202	53	4	4	NUM
cana-1311	202	54	:	:	PUNCT
cana-1311	202	55	air	air	NOUN
cana-1311	202	56	pollutants	pollutant	NOUN
cana-1311	202	57	and	and	CCONJ
cana-1311	202	58	aqi	aqi	ADJ
cana-1311	202	59	distributions	distribution	NOUN
cana-1311	202	60	without	without	ADP
cana-1311	202	61	transformation	transformation	NOUN
cana-1311	202	62	.	.	PUNCT
cana-1311	203	1	fig	fig	NOUN
cana-1311	203	2	5	5	NUM
cana-1311	203	3	:	:	PUNCT
cana-1311	203	4	air	air	NOUN
cana-1311	203	5	pollutants	pollutant	NOUN
cana-1311	203	6	and	and	CCONJ
cana-1311	203	7	aqi	aqi	ADJ
cana-1311	203	8	distributions	distribution	NOUN
cana-1311	203	9	with	with	ADP
cana-1311	203	10	transformation	transformation	NOUN
cana-1311	203	11	.	.	PUNCT
cana-1311	204	1	3.6	3.6	NUM
cana-1311	204	2	.	.	X
cana-1311	204	3	splitting	splitting	NOUN
cana-1311	204	4	of	of	ADP
cana-1311	204	5	data	datum	NOUN
cana-1311	204	6	to	to	PART
cana-1311	204	7	ascertain	ascertain	VERB
cana-1311	204	8	the	the	DET
cana-1311	204	9	model	model	NOUN
cana-1311	204	10	efficiency	efficiency	NOUN
cana-1311	204	11	,	,	PUNCT
cana-1311	204	12	the	the	DET
cana-1311	204	13	entire	entire	ADJ
cana-1311	204	14	set	set	NOUN
cana-1311	204	15	of	of	ADP
cana-1311	204	16	data	datum	NOUN
cana-1311	204	17	has	have	AUX
cana-1311	204	18	been	be	AUX
cana-1311	204	19	partition	partition	NOUN
cana-1311	204	20	into	into	ADP
cana-1311	204	21	training	training	NOUN
cana-1311	204	22	and	and	CCONJ
cana-1311	204	23	testing	testing	NOUN
cana-1311	204	24	datasets	dataset	NOUN
cana-1311	204	25	.	.	PUNCT
cana-1311	205	1	for	for	ADP
cana-1311	205	2	regression	regression	NOUN
cana-1311	205	3	and	and	CCONJ
cana-1311	205	4	classification	classification	NOUN
cana-1311	205	5	analysis	analysis	NOUN
cana-1311	205	6	,	,	PUNCT
cana-1311	205	7	the	the	DET
cana-1311	205	8	training	training	NOUN
cana-1311	205	9	and	and	CCONJ
cana-1311	205	10	testing	testing	NOUN
cana-1311	205	11	sets	set	NOUN
cana-1311	205	12	are	be	AUX
cana-1311	205	13	split	split	VERB
cana-1311	205	14	in	in	ADP
cana-1311	205	15	a	a	DET
cana-1311	205	16	ratio	ratio	NOUN
cana-1311	205	17	of	of	ADP
cana-1311	205	18	80	80	NUM
cana-1311	205	19	%	%	NOUN
cana-1311	205	20	to	to	PART
cana-1311	205	21	20	20	NUM
cana-1311	205	22	%	%	NOUN
cana-1311	205	23	.	.	PUNCT
cana-1311	206	1	the	the	DET
cana-1311	206	2	initial	initial	ADJ
cana-1311	206	3	80	80	NUM
cana-1311	206	4	%	%	NOUN
cana-1311	206	5	of	of	ADP
cana-1311	206	6	the	the	DET
cana-1311	206	7	data	datum	NOUN
cana-1311	206	8	has	have	AUX
cana-1311	206	9	been	be	AUX
cana-1311	206	10	utilised	utilise	VERB
cana-1311	206	11	to	to	PART
cana-1311	206	12	develop	develop	VERB
cana-1311	206	13	and	and	CCONJ
cana-1311	206	14	estimate	estimate	VERB
cana-1311	206	15	the	the	DET
cana-1311	206	16	model	model	NOUN
cana-1311	206	17	parameters	parameter	NOUN
cana-1311	206	18	,	,	PUNCT
cana-1311	206	19	while	while	SCONJ
cana-1311	206	20	the	the	DET
cana-1311	206	21	remaining	remain	VERB
cana-1311	206	22	20	20	NUM
cana-1311	206	23	%	%	NOUN
cana-1311	206	24	has	have	AUX
cana-1311	206	25	been	be	AUX
cana-1311	206	26	used	use	VERB
cana-1311	206	27	for	for	ADP
cana-1311	206	28	testing	test	VERB
cana-1311	206	29	the	the	DET
cana-1311	206	30	developed	develop	VERB
cana-1311	206	31	model	model	NOUN
cana-1311	206	32	and	and	CCONJ
cana-1311	206	33	performance	performance	NOUN
cana-1311	206	34	evaluation	evaluation	NOUN
cana-1311	206	35	.	.	PUNCT
cana-1311	207	1	communications	communication	NOUN
cana-1311	207	2	on	on	ADP
cana-1311	207	3	applied	apply	VERB
cana-1311	207	4	nonlinear	nonlinear	ADJ
cana-1311	207	5	analysis	analysis	NOUN
cana-1311	207	6	issn	issn	NOUN
cana-1311	207	7	:	:	PUNCT
cana-1311	207	8	1074	1074	NUM
cana-1311	207	9	-	-	PUNCT
cana-1311	207	10	133x	133x	NUM
cana-1311	207	11	vol	vol	NOUN
cana-1311	207	12	31	31	NUM
cana-1311	207	13	no	no	NOUN
cana-1311	207	14	.	.	PUNCT
cana-1311	208	1	7s	7	NOUN
cana-1311	208	2	(	(	PUNCT
cana-1311	208	3	2024	2024	NUM
cana-1311	208	4	)	)	PUNCT
cana-1311	208	5	339	339	NUM
cana-1311	208	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	208	7	4	4	NUM
cana-1311	208	8	.	.	NOUN
cana-1311	208	9	results	result	NOUN
cana-1311	208	10	and	and	CCONJ
cana-1311	208	11	discussion	discussion	NOUN
cana-1311	208	12	4.1	4.1	NUM
cana-1311	208	13	.	.	PUNCT
cana-1311	209	1	summary	summary	NOUN
cana-1311	209	2	of	of	ADP
cana-1311	209	3	data	datum	NOUN
cana-1311	209	4	in	in	ADP
cana-1311	209	5	this	this	DET
cana-1311	209	6	work	work	NOUN
cana-1311	209	7	,	,	PUNCT
cana-1311	209	8	the	the	DET
cana-1311	209	9	air	air	NOUN
cana-1311	209	10	quality	quality	NOUN
cana-1311	209	11	of	of	ADP
cana-1311	209	12	guwahati	guwahati	NOUN
cana-1311	209	13	dataset	dataset	VERB
cana-1311	209	14	during	during	ADP
cana-1311	209	15	the	the	DET
cana-1311	209	16	year	year	NOUN
cana-1311	209	17	(	(	PUNCT
cana-1311	209	18	2015	2015	NUM
cana-1311	209	19	-	-	SYM
cana-1311	209	20	2020	2020	NUM
cana-1311	209	21	)	)	PUNCT
cana-1311	209	22	has	have	AUX
cana-1311	209	23	been	be	AUX
cana-1311	209	24	analysed	analyse	VERB
cana-1311	209	25	and	and	CCONJ
cana-1311	209	26	cleaned	clean	VERB
cana-1311	209	27	before	before	ADP
cana-1311	209	28	applying	apply	VERB
cana-1311	209	29	ml	ml	ADP
cana-1311	209	30	algorithms	algorithm	NOUN
cana-1311	209	31	,	,	PUNCT
cana-1311	209	32	data	datum	NOUN
cana-1311	209	33	exploration	exploration	NOUN
cana-1311	209	34	has	have	AUX
cana-1311	209	35	been	be	AUX
cana-1311	209	36	done	do	VERB
cana-1311	209	37	to	to	PART
cana-1311	209	38	explore	explore	VERB
cana-1311	209	39	the	the	DET
cana-1311	209	40	hidden	hide	VERB
cana-1311	209	41	pattern	pattern	NOUN
cana-1311	209	42	present	present	ADJ
cana-1311	209	43	in	in	ADP
cana-1311	209	44	the	the	DET
cana-1311	209	45	dataset	dataset	NOUN
cana-1311	209	46	,	,	PUNCT
cana-1311	209	47	descriptive	descriptive	ADJ
cana-1311	209	48	statistics	statistic	NOUN
cana-1311	209	49	are	be	AUX
cana-1311	209	50	shown	show	VERB
cana-1311	209	51	in	in	ADP
cana-1311	209	52	table	table	NOUN
cana-1311	209	53	2	2	NUM
cana-1311	209	54	and	and	CCONJ
cana-1311	209	55	fig	fig	NOUN
cana-1311	209	56	.	.	PUNCT
cana-1311	210	1	2	2	NUM
cana-1311	210	2	represents	represent	VERB
cana-1311	210	3	the	the	DET
cana-1311	210	4	pie	pie	NOUN
cana-1311	210	5	chart	chart	NOUN
cana-1311	210	6	of	of	ADP
cana-1311	210	7	aql	aql	PROPN
cana-1311	210	8	.	.	PUNCT
cana-1311	211	1	it	it	PRON
cana-1311	211	2	is	be	AUX
cana-1311	211	3	observed	observe	VERB
cana-1311	211	4	that	that	SCONJ
cana-1311	211	5	most	most	ADJ
cana-1311	211	6	of	of	ADP
cana-1311	211	7	the	the	DET
cana-1311	211	8	pollutants	pollutant	NOUN
cana-1311	211	9	have	have	AUX
cana-1311	211	10	having	have	VERB
cana-1311	211	11	large	large	ADJ
cana-1311	211	12	standard	standard	ADJ
cana-1311	211	13	deviations	deviation	NOUN
cana-1311	211	14	,	,	PUNCT
cana-1311	211	15	indicating	indicate	VERB
cana-1311	211	16	high	high	ADJ
cana-1311	211	17	variability	variability	NOUN
cana-1311	211	18	.	.	PUNCT
cana-1311	212	1	the	the	DET
cana-1311	212	2	median	median	ADJ
cana-1311	212	3	values	value	NOUN
cana-1311	212	4	(	(	PUNCT
cana-1311	212	5	50	50	NUM
cana-1311	212	6	%	%	NOUN
cana-1311	212	7	)	)	PUNCT
cana-1311	212	8	of	of	ADP
cana-1311	212	9	all	all	DET
cana-1311	212	10	attributes	attribute	NOUN
cana-1311	212	11	are	be	AUX
cana-1311	212	12	lower	low	ADJ
cana-1311	212	13	than	than	ADP
cana-1311	212	14	the	the	DET
cana-1311	212	15	mean	mean	ADJ
cana-1311	212	16	values	value	NOUN
cana-1311	212	17	,	,	PUNCT
cana-1311	212	18	suggesting	suggest	VERB
cana-1311	212	19	a	a	DET
cana-1311	212	20	right	right	ADV
cana-1311	212	21	-	-	PUNCT
cana-1311	212	22	skewed	skewed	ADJ
cana-1311	212	23	distribution	distribution	NOUN
cana-1311	212	24	as	as	SCONJ
cana-1311	212	25	depicted	depict	VERB
cana-1311	212	26	in	in	ADP
cana-1311	212	27	fig	fig	NOUN
cana-1311	212	28	.	.	PUNCT
cana-1311	213	1	4	4	X
cana-1311	213	2	.	.	PUNCT
cana-1311	213	3	the	the	DET
cana-1311	213	4	interquartile	interquartile	NOUN
cana-1311	213	5	ranges	range	NOUN
cana-1311	213	6	are	be	AUX
cana-1311	213	7	relatively	relatively	ADV
cana-1311	213	8	narrow	narrow	ADJ
cana-1311	213	9	as	as	SCONJ
cana-1311	213	10	compared	compare	VERB
cana-1311	213	11	to	to	ADP
cana-1311	213	12	the	the	DET
cana-1311	213	13	overall	overall	ADJ
cana-1311	213	14	range	range	NOUN
cana-1311	213	15	and	and	CCONJ
cana-1311	213	16	the	the	DET
cana-1311	213	17	presence	presence	NOUN
cana-1311	213	18	of	of	ADP
cana-1311	213	19	extreme	extreme	ADJ
cana-1311	213	20	values	value	NOUN
cana-1311	213	21	in	in	ADP
cana-1311	213	22	pm10	pm10	PROPN
cana-1311	213	23	and	and	CCONJ
cana-1311	213	24	pm2.5	pm2.5	PROPN
cana-1311	213	25	indicates	indicate	VERB
cana-1311	213	26	significant	significant	ADJ
cana-1311	213	27	fluctuations	fluctuation	NOUN
cana-1311	213	28	in	in	ADP
cana-1311	213	29	pollution	pollution	NOUN
cana-1311	213	30	levels	level	NOUN
cana-1311	213	31	.	.	PUNCT
cana-1311	214	1	the	the	DET
cana-1311	214	2	highest	high	ADJ
cana-1311	214	3	recorded	record	VERB
cana-1311	214	4	levels	level	NOUN
cana-1311	214	5	of	of	ADP
cana-1311	214	6	air	air	NOUN
cana-1311	214	7	pollutants	pollutant	NOUN
cana-1311	214	8	and	and	CCONJ
cana-1311	214	9	aqi	aqi	ADJ
cana-1311	214	10	values	value	NOUN
cana-1311	214	11	in	in	ADP
cana-1311	214	12	this	this	DET
cana-1311	214	13	research	research	NOUN
cana-1311	214	14	exceed	exceed	VERB
cana-1311	214	15	naaq	naaq	NOUN
cana-1311	214	16	standards	standard	NOUN
cana-1311	214	17	of	of	ADP
cana-1311	214	18	india	india	PROPN
cana-1311	215	1	[	[	X
cana-1311	215	2	37	37	NUM
cana-1311	215	3	]	]	PUNCT
cana-1311	215	4	.	.	PUNCT
cana-1311	216	1	particulate	particulate	NOUN
cana-1311	216	2	matter	matter	NOUN
cana-1311	216	3	pm10	pm10	PROPN
cana-1311	216	4	and	and	CCONJ
cana-1311	216	5	pm2.5	pm2.5	PROPN
cana-1311	216	6	,	,	PUNCT
cana-1311	216	7	in	in	ADP
cana-1311	216	8	addition	addition	NOUN
cana-1311	216	9	to	to	ADP
cana-1311	216	10	atmospheric	atmospheric	ADJ
cana-1311	216	11	gases	gas	NOUN
cana-1311	216	12	,	,	PUNCT
cana-1311	216	13	pose	pose	VERB
cana-1311	216	14	a	a	DET
cana-1311	216	15	major	major	ADJ
cana-1311	216	16	public	public	ADJ
cana-1311	216	17	health	health	NOUN
cana-1311	216	18	issue	issue	NOUN
cana-1311	216	19	where	where	SCONJ
cana-1311	216	20	the	the	DET
cana-1311	216	21	concentration	concentration	NOUN
cana-1311	216	22	is	be	AUX
cana-1311	216	23	higher	high	ADJ
cana-1311	216	24	than	than	ADP
cana-1311	216	25	its	its	PRON
cana-1311	216	26	standard	standard	ADJ
cana-1311	216	27	limit	limit	NOUN
cana-1311	216	28	set	set	VERB
cana-1311	216	29	by	by	ADP
cana-1311	216	30	the	the	DET
cana-1311	216	31	authorities	authority	NOUN
cana-1311	216	32	.	.	PUNCT
cana-1311	217	1	the	the	DET
cana-1311	217	2	effects	effect	NOUN
cana-1311	217	3	of	of	ADP
cana-1311	217	4	atmospheric	atmospheric	ADJ
cana-1311	217	5	pollutants	pollutant	NOUN
cana-1311	217	6	on	on	ADP
cana-1311	217	7	human	human	ADJ
cana-1311	217	8	health	health	NOUN
cana-1311	217	9	vary	vary	NOUN
cana-1311	217	10	based	base	VERB
cana-1311	217	11	on	on	ADP
cana-1311	217	12	the	the	DET
cana-1311	217	13	specific	specific	ADJ
cana-1311	217	14	pollutant	pollutant	NOUN
cana-1311	217	15	,	,	PUNCT
cana-1311	217	16	its	its	PRON
cana-1311	217	17	environmental	environmental	ADJ
cana-1311	217	18	concentration	concentration	NOUN
cana-1311	217	19	and	and	CCONJ
cana-1311	217	20	the	the	DET
cana-1311	217	21	time	time	NOUN
cana-1311	217	22	span	span	NOUN
cana-1311	217	23	of	of	ADP
cana-1311	217	24	exposure	exposure	NOUN
cana-1311	217	25	.	.	PUNCT
cana-1311	218	1	these	these	DET
cana-1311	218	2	concentrations	concentration	NOUN
cana-1311	218	3	are	be	AUX
cana-1311	218	4	influenced	influence	VERB
cana-1311	218	5	not	not	PART
cana-1311	218	6	only	only	ADV
cana-1311	218	7	by	by	ADP
cana-1311	218	8	the	the	DET
cana-1311	218	9	quantity	quantity	NOUN
cana-1311	218	10	released	release	VERB
cana-1311	218	11	from	from	ADP
cana-1311	218	12	sources	source	NOUN
cana-1311	218	13	but	but	CCONJ
cana-1311	218	14	also	also	ADV
cana-1311	218	15	by	by	ADP
cana-1311	218	16	the	the	DET
cana-1311	218	17	atmosphere	atmosphere	NOUN
cana-1311	218	18	’s	’s	PART
cana-1311	218	19	capacity	capacity	NOUN
cana-1311	218	20	for	for	ADP
cana-1311	218	21	absorption	absorption	NOUN
cana-1311	218	22	or	or	CCONJ
cana-1311	218	23	dispersion	dispersion	NOUN
cana-1311	218	24	of	of	ADP
cana-1311	218	25	these	these	DET
cana-1311	218	26	emissions	emission	NOUN
cana-1311	218	27	[	[	X
cana-1311	218	28	47	47	NUM
cana-1311	218	29	]	]	PUNCT
cana-1311	218	30	,	,	PUNCT
cana-1311	218	31	[	[	X
cana-1311	218	32	49	49	NUM
cana-1311	218	33	]	]	PUNCT
cana-1311	218	34	.	.	PUNCT
cana-1311	219	1	different	different	ADJ
cana-1311	219	2	pollutants	pollutant	NOUN
cana-1311	219	3	can	can	AUX
cana-1311	219	4	vary	vary	VERB
cana-1311	219	5	in	in	ADP
cana-1311	219	6	their	their	PRON
cana-1311	219	7	levels	level	NOUN
cana-1311	219	8	of	of	ADP
cana-1311	219	9	exposure	exposure	NOUN
cana-1311	219	10	;	;	PUNCT
cana-1311	219	11	for	for	ADP
cana-1311	219	12	instance	instance	NOUN
cana-1311	219	13	,	,	PUNCT
cana-1311	219	14	pm10	pm10	PROPN
cana-1311	219	15	and	and	CCONJ
cana-1311	219	16	pm2.5	pm2.5	PROPN
cana-1311	219	17	can	can	AUX
cana-1311	219	18	significantly	significantly	ADV
cana-1311	219	19	enter	enter	VERB
cana-1311	219	20	respiratory	respiratory	ADJ
cana-1311	219	21	and	and	CCONJ
cana-1311	219	22	cardiovascular	cardiovascular	ADJ
cana-1311	219	23	systems	system	NOUN
cana-1311	219	24	of	of	ADP
cana-1311	219	25	the	the	DET
cana-1311	219	26	human	human	ADJ
cana-1311	219	27	body	body	NOUN
cana-1311	219	28	.	.	PUNCT
cana-1311	220	1	these	these	DET
cana-1311	220	2	pollutants	pollutant	NOUN
cana-1311	220	3	are	be	AUX
cana-1311	220	4	known	know	VERB
cana-1311	220	5	to	to	PART
cana-1311	220	6	trigger	trigger	VERB
cana-1311	220	7	asthma	asthma	NOUN
cana-1311	220	8	attacks	attack	NOUN
cana-1311	220	9	,	,	PUNCT
cana-1311	220	10	bronchitis	bronchitis	NOUN
cana-1311	220	11	,	,	PUNCT
cana-1311	220	12	reduce	reduce	VERB
cana-1311	220	13	lung	lung	NOUN
cana-1311	220	14	function	function	NOUN
cana-1311	220	15	and	and	CCONJ
cana-1311	220	16	increase	increase	VERB
cana-1311	220	17	the	the	DET
cana-1311	220	18	risk	risk	NOUN
cana-1311	220	19	of	of	ADP
cana-1311	220	20	heart	heart	NOUN
cana-1311	220	21	attacks	attack	NOUN
cana-1311	220	22	.	.	PUNCT
cana-1311	221	1	due	due	ADP
cana-1311	221	2	to	to	ADP
cana-1311	221	3	their	their	PRON
cana-1311	221	4	small	small	ADJ
cana-1311	221	5	size	size	NOUN
cana-1311	221	6	,	,	PUNCT
cana-1311	221	7	they	they	PRON
cana-1311	221	8	can	can	AUX
cana-1311	221	9	enter	enter	VERB
cana-1311	221	10	the	the	DET
cana-1311	221	11	bloodstream	bloodstream	NOUN
cana-1311	221	12	,	,	PUNCT
cana-1311	221	13	exacerbating	exacerbate	VERB
cana-1311	221	14	chronic	chronic	ADJ
cana-1311	221	15	diseases	disease	NOUN
cana-1311	221	16	and	and	CCONJ
cana-1311	221	17	raising	raise	VERB
cana-1311	221	18	the	the	DET
cana-1311	221	19	likelihood	likelihood	NOUN
cana-1311	221	20	of	of	ADP
cana-1311	221	21	mortality	mortality	NOUN
cana-1311	221	22	[	[	X
cana-1311	221	23	49	49	NUM
cana-1311	221	24	]	]	PUNCT
cana-1311	221	25	.	.	PUNCT
cana-1311	222	1	nh3	nh3	PROPN
cana-1311	222	2	(	(	PUNCT
cana-1311	222	3	ammonia	ammonia	NOUN
cana-1311	222	4	)	)	PUNCT
cana-1311	222	5	can	can	AUX
cana-1311	222	6	cause	cause	VERB
cana-1311	222	7	irritation	irritation	NOUN
cana-1311	222	8	to	to	ADP
cana-1311	222	9	the	the	DET
cana-1311	222	10	eyes	eye	NOUN
cana-1311	222	11	,	,	PUNCT
cana-1311	222	12	throat	throat	NOUN
cana-1311	222	13	and	and	CCONJ
cana-1311	222	14	the	the	DET
cana-1311	222	15	lungs	lung	NOUN
cana-1311	222	16	and	and	CCONJ
cana-1311	222	17	it	it	PRON
cana-1311	222	18	results	result	VERB
cana-1311	222	19	in	in	ADP
cana-1311	222	20	cough	cough	NOUN
cana-1311	222	21	,	,	PUNCT
cana-1311	222	22	wheezing	wheezing	NOUN
cana-1311	222	23	and	and	CCONJ
cana-1311	222	24	breathlessness	breathlessness	NOUN
cana-1311	222	25	.	.	PUNCT
cana-1311	223	1	it	it	PRON
cana-1311	223	2	can	can	AUX
cana-1311	223	3	lead	lead	VERB
cana-1311	223	4	to	to	ADP
cana-1311	223	5	the	the	DET
cana-1311	223	6	aggravation	aggravation	NOUN
cana-1311	223	7	of	of	ADP
cana-1311	223	8	asthma	asthma	NOUN
cana-1311	223	9	and	and	CCONJ
cana-1311	223	10	other	other	ADJ
cana-1311	223	11	respiratory	respiratory	ADJ
cana-1311	223	12	diseases	disease	NOUN
cana-1311	223	13	,	,	PUNCT
cana-1311	223	14	as	as	ADV
cana-1311	223	15	well	well	ADV
cana-1311	223	16	as	as	ADP
cana-1311	223	17	eutrophication	eutrophication	NOUN
cana-1311	223	18	of	of	ADP
cana-1311	223	19	waters	water	NOUN
cana-1311	223	20	bodies	body	NOUN
cana-1311	223	21	[	[	X
cana-1311	223	22	28	28	NUM
cana-1311	223	23	]	]	PUNCT
cana-1311	223	24	.	.	PUNCT
cana-1311	224	1	co	co	PROPN
cana-1311	224	2	(	(	PUNCT
cana-1311	224	3	carbon	carbon	NOUN
cana-1311	224	4	monoxide	monoxide	NOUN
cana-1311	224	5	)	)	PUNCT
cana-1311	224	6	blocks	block	VERB
cana-1311	224	7	oxygen	oxygen	NOUN
cana-1311	224	8	to	to	PART
cana-1311	224	9	deliver	deliver	VERB
cana-1311	224	10	to	to	ADP
cana-1311	224	11	body	body	NOUN
cana-1311	224	12	tissues	tissue	NOUN
cana-1311	224	13	by	by	ADP
cana-1311	224	14	binding	bind	VERB
cana-1311	224	15	with	with	ADP
cana-1311	224	16	haemoglobin	haemoglobin	NOUN
cana-1311	224	17	that	that	PRON
cana-1311	224	18	affects	affect	VERB
cana-1311	224	19	cardiovascular	cardiovascular	ADJ
cana-1311	224	20	and	and	CCONJ
cana-1311	224	21	neurobehavioral	neurobehavioral	ADJ
cana-1311	224	22	systems	system	NOUN
cana-1311	224	23	.	.	PUNCT
cana-1311	225	1	longterm	longterm	PROPN
cana-1311	225	2	effects	effect	NOUN
cana-1311	225	3	involve	involve	VERB
cana-1311	225	4	changes	change	NOUN
cana-1311	225	5	in	in	ADP
cana-1311	225	6	irregular	irregular	ADJ
cana-1311	225	7	heartbeat	heartbeat	NOUN
cana-1311	225	8	,	,	PUNCT
cana-1311	225	9	heart	heart	NOUN
cana-1311	225	10	disease	disease	NOUN
cana-1311	225	11	and	and	CCONJ
cana-1311	225	12	neurological	neurological	ADJ
cana-1311	225	13	disorders	disorder	NOUN
cana-1311	225	14	[	[	X
cana-1311	225	15	25	25	NUM
cana-1311	225	16	]	]	PUNCT
cana-1311	225	17	.	.	PUNCT
cana-1311	226	1	nox	nox	PROPN
cana-1311	226	2	(	(	PUNCT
cana-1311	226	3	nitrogen	nitrogen	NOUN
cana-1311	226	4	oxides	oxide	NOUN
cana-1311	226	5	)	)	PUNCT
cana-1311	226	6	particularly	particularly	ADV
cana-1311	226	7	no2	no2	NOUN
cana-1311	226	8	(	(	PUNCT
cana-1311	226	9	nitrogen	nitrogen	NOUN
cana-1311	226	10	dioxide	dioxide	NOUN
cana-1311	226	11	)	)	PUNCT
cana-1311	226	12	and	and	CCONJ
cana-1311	226	13	no	no	DET
cana-1311	226	14	(	(	PUNCT
cana-1311	226	15	nitric	nitric	ADJ
cana-1311	226	16	oxide	oxide	NOUN
cana-1311	226	17	)	)	PUNCT
cana-1311	226	18	,	,	PUNCT
cana-1311	226	19	contribute	contribute	VERB
cana-1311	226	20	to	to	ADP
cana-1311	226	21	asthma	asthma	NOUN
cana-1311	226	22	and	and	CCONJ
cana-1311	226	23	reduced	reduce	VERB
cana-1311	226	24	lung	lung	NOUN
cana-1311	226	25	function	function	NOUN
cana-1311	226	26	.	.	PUNCT
cana-1311	227	1	they	they	PRON
cana-1311	227	2	also	also	ADV
cana-1311	227	3	play	play	VERB
cana-1311	227	4	a	a	DET
cana-1311	227	5	role	role	NOUN
cana-1311	227	6	in	in	ADP
cana-1311	227	7	smog	smog	NOUN
cana-1311	227	8	formation	formation	NOUN
cana-1311	227	9	and	and	CCONJ
cana-1311	227	10	generation	generation	NOUN
cana-1311	227	11	of	of	ADP
cana-1311	227	12	acid	acid	NOUN
cana-1311	227	13	rain	rain	NOUN
cana-1311	227	14	,	,	PUNCT
cana-1311	227	15	leading	lead	VERB
cana-1311	227	16	to	to	ADP
cana-1311	227	17	ecosystem	ecosystem	NOUN
cana-1311	227	18	acidification	acidification	NOUN
cana-1311	227	19	,	,	PUNCT
cana-1311	227	20	biodiversity	biodiversity	NOUN
cana-1311	227	21	loss	loss	NOUN
cana-1311	227	22	and	and	CCONJ
cana-1311	227	23	degradation	degradation	NOUN
cana-1311	227	24	of	of	ADP
cana-1311	227	25	water	water	NOUN
cana-1311	227	26	bodies	body	NOUN
cana-1311	227	27	,	,	PUNCT
cana-1311	227	28	soil	soil	NOUN
cana-1311	227	29	,	,	PUNCT
cana-1311	227	30	and	and	CCONJ
cana-1311	227	31	vegetation	vegetation	NOUN
cana-1311	227	32	[	[	X
cana-1311	227	33	25	25	NUM
cana-1311	227	34	]	]	PUNCT
cana-1311	227	35	.	.	PUNCT
cana-1311	228	1	so2	so2	PROPN
cana-1311	228	2	(	(	PUNCT
cana-1311	228	3	sulfur	sulfur	NOUN
cana-1311	228	4	dioxide	dioxide	NOUN
cana-1311	228	5	)	)	PUNCT
cana-1311	228	6	irritates	irritate	VERB
cana-1311	228	7	the	the	DET
cana-1311	228	8	respiratory	respiratory	ADJ
cana-1311	228	9	system	system	NOUN
cana-1311	228	10	and	and	CCONJ
cana-1311	228	11	can	can	AUX
cana-1311	228	12	also	also	ADV
cana-1311	228	13	stimulate	stimulate	VERB
cana-1311	228	14	other	other	ADJ
cana-1311	228	15	diseases	disease	NOUN
cana-1311	228	16	such	such	ADJ
cana-1311	228	17	as	as	ADP
cana-1311	228	18	asthma	asthma	NOUN
cana-1311	228	19	and	and	CCONJ
cana-1311	228	20	bronchitis	bronchitis	NOUN
cana-1311	228	21	.	.	PUNCT
cana-1311	229	1	it	it	PRON
cana-1311	229	2	is	be	AUX
cana-1311	229	3	also	also	ADV
cana-1311	229	4	a	a	DET
cana-1311	229	5	source	source	NOUN
cana-1311	229	6	of	of	ADP
cana-1311	229	7	acid	acid	ADJ
cana-1311	229	8	rain	rain	NOUN
cana-1311	229	9	that	that	PRON
cana-1311	229	10	in	in	ADP
cana-1311	229	11	turns	turn	NOUN
cana-1311	229	12	affects	affect	VERB
cana-1311	229	13	vegetation	vegetation	NOUN
cana-1311	229	14	,	,	PUNCT
cana-1311	229	15	water	water	NOUN
cana-1311	229	16	sources	source	NOUN
cana-1311	229	17	,	,	PUNCT
cana-1311	229	18	wildlife	wildlife	NOUN
cana-1311	229	19	and	and	CCONJ
cana-1311	229	20	infrastructure	infrastructure	NOUN
cana-1311	229	21	[	[	X
cana-1311	229	22	34	34	NUM
cana-1311	229	23	]	]	PUNCT
cana-1311	229	24	.	.	PUNCT
cana-1311	230	1	o3	o3	PROPN
cana-1311	230	2	(	(	PUNCT
cana-1311	230	3	ozone	ozone	NOUN
cana-1311	230	4	)	)	PUNCT
cana-1311	230	5	can	can	AUX
cana-1311	230	6	be	be	AUX
cana-1311	230	7	inhaled	inhale	VERB
cana-1311	230	8	and	and	CCONJ
cana-1311	230	9	it	it	PRON
cana-1311	230	10	can	can	AUX
cana-1311	230	11	affect	affect	VERB
cana-1311	230	12	the	the	DET
cana-1311	230	13	respiratory	respiratory	ADJ
cana-1311	230	14	system	system	NOUN
cana-1311	230	15	wherein	wherein	SCONJ
cana-1311	230	16	it	it	PRON
cana-1311	230	17	can	can	AUX
cana-1311	230	18	cause	cause	VERB
cana-1311	230	19	functional	functional	ADJ
cana-1311	230	20	changes	change	NOUN
cana-1311	230	21	in	in	ADP
cana-1311	230	22	pulmonary	pulmonary	ADJ
cana-1311	230	23	function	function	NOUN
cana-1311	230	24	,	,	PUNCT
cana-1311	230	25	increases	increase	VERB
cana-1311	230	26	the	the	DET
cana-1311	230	27	airway	airway	NOUN
cana-1311	230	28	inflammation	inflammation	NOUN
cana-1311	230	29	and	and	CCONJ
cana-1311	230	30	increase	increase	VERB
cana-1311	230	31	in	in	ADP
cana-1311	230	32	the	the	DET
cana-1311	230	33	sensitivity	sensitivity	NOUN
cana-1311	230	34	to	to	ADP
cana-1311	230	35	broncho	broncho	ADJ
cana-1311	230	36	-	-	PUNCT
cana-1311	230	37	constrictors	constrictor	NOUN
cana-1311	230	38	[	[	X
cana-1311	230	39	47	47	NUM
cana-1311	230	40	]	]	PUNCT
cana-1311	230	41	.	.	PUNCT
cana-1311	231	1	benzene	benzene	NOUN
cana-1311	231	2	is	be	AUX
cana-1311	231	3	also	also	ADV
cana-1311	231	4	found	find	VERB
cana-1311	231	5	associated	associate	VERB
cana-1311	231	6	with	with	ADP
cana-1311	231	7	blood	blood	NOUN
cana-1311	231	8	disorders	disorder	NOUN
cana-1311	231	9	such	such	ADJ
cana-1311	231	10	as	as	ADP
cana-1311	231	11	leukaemia	leukaemia	NOUN
cana-1311	231	12	.	.	PUNCT
cana-1311	232	1	it	it	PRON
cana-1311	232	2	is	be	AUX
cana-1311	232	3	a	a	DET
cana-1311	232	4	carcinogen	carcinogen	NOUN
cana-1311	232	5	that	that	PRON
cana-1311	232	6	has	have	VERB
cana-1311	232	7	an	an	DET
cana-1311	232	8	impact	impact	NOUN
cana-1311	232	9	on	on	ADP
cana-1311	232	10	the	the	DET
cana-1311	232	11	bone	bone	NOUN
cana-1311	232	12	marrow	marrow	NOUN
cana-1311	232	13	that	that	PRON
cana-1311	232	14	results	result	VERB
cana-1311	232	15	into	into	ADP
cana-1311	232	16	anaemia	anaemia	NOUN
cana-1311	232	17	and	and	CCONJ
cana-1311	232	18	immunosuppression	immunosuppression	NOUN
cana-1311	232	19	[	[	X
cana-1311	232	20	35	35	NUM
cana-1311	232	21	]	]	PUNCT
cana-1311	232	22	.	.	PUNCT
cana-1311	233	1	the	the	DET
cana-1311	233	2	major	major	ADJ
cana-1311	233	3	air	air	NOUN
cana-1311	233	4	pollutants	pollutant	NOUN
cana-1311	233	5	in	in	ADP
cana-1311	233	6	guwahati	guwahati	NOUN
cana-1311	233	7	significantly	significantly	ADV
cana-1311	233	8	harm	harm	VERB
cana-1311	233	9	both	both	CCONJ
cana-1311	233	10	public	public	ADJ
cana-1311	233	11	health	health	NOUN
cana-1311	233	12	and	and	CCONJ
cana-1311	233	13	the	the	DET
cana-1311	233	14	environment	environment	NOUN
cana-1311	233	15	[	[	X
cana-1311	233	16	14	14	NUM
cana-1311	233	17	]	]	PUNCT
cana-1311	233	18	.	.	PUNCT
cana-1311	234	1	tolerance	tolerance	NOUN
cana-1311	234	2	to	to	ADP
cana-1311	234	3	these	these	DET
cana-1311	234	4	pollutants	pollutant	NOUN
cana-1311	234	5	may	may	AUX
cana-1311	234	6	cause	cause	VERB
cana-1311	234	7	different	different	ADJ
cana-1311	234	8	respiratory	respiratory	ADJ
cana-1311	234	9	disorders	disorder	NOUN
cana-1311	234	10	,	,	PUNCT
cana-1311	234	11	cardiovascular	cardiovascular	ADJ
cana-1311	234	12	ailments	ailment	NOUN
cana-1311	234	13	and	and	CCONJ
cana-1311	234	14	other	other	ADJ
cana-1311	234	15	chronic	chronic	ADJ
cana-1311	234	16	diseases	disease	NOUN
cana-1311	234	17	in	in	ADP
cana-1311	234	18	people	people	NOUN
cana-1311	234	19	,	,	PUNCT
cana-1311	234	20	particularly	particularly	ADV
cana-1311	234	21	children	child	NOUN
cana-1311	234	22	,	,	PUNCT
cana-1311	234	23	the	the	DET
cana-1311	234	24	elderly	elderly	ADJ
cana-1311	234	25	and	and	CCONJ
cana-1311	234	26	patients	patient	NOUN
cana-1311	234	27	with	with	ADP
cana-1311	234	28	severe	severe	ADJ
cana-1311	234	29	health	health	NOUN
cana-1311	234	30	complications	complication	NOUN
cana-1311	234	31	.	.	PUNCT
cana-1311	235	1	measures	measure	NOUN
cana-1311	235	2	to	to	PART
cana-1311	235	3	control	control	VERB
cana-1311	235	4	and	and	CCONJ
cana-1311	235	5	reduce	reduce	VERB
cana-1311	235	6	air	air	NOUN
cana-1311	235	7	pollution	pollution	NOUN
cana-1311	235	8	in	in	ADP
cana-1311	235	9	guwahati	guwahati	PROPN
cana-1311	235	10	is	be	AUX
cana-1311	235	11	crucial	crucial	ADJ
cana-1311	235	12	for	for	ADP
cana-1311	235	13	ensuring	ensure	VERB
cana-1311	235	14	public	public	ADJ
cana-1311	235	15	health	health	NOUN
cana-1311	235	16	,	,	PUNCT
cana-1311	235	17	protecting	protect	VERB
cana-1311	235	18	the	the	DET
cana-1311	235	19	environment	environment	NOUN
cana-1311	235	20	and	and	CCONJ
cana-1311	235	21	enhancing	enhance	VERB
cana-1311	235	22	the	the	DET
cana-1311	235	23	city	city	NOUN
cana-1311	235	24	’s	’s	PART
cana-1311	235	25	development	development	NOUN
cana-1311	235	26	.	.	PUNCT
cana-1311	236	1	this	this	PRON
cana-1311	236	2	would	would	AUX
cana-1311	236	3	communications	communication	NOUN
cana-1311	236	4	on	on	ADP
cana-1311	236	5	applied	apply	VERB
cana-1311	236	6	nonlinear	nonlinear	ADJ
cana-1311	236	7	analysis	analysis	NOUN
cana-1311	236	8	issn	issn	NOUN
cana-1311	236	9	:	:	PUNCT
cana-1311	236	10	1074	1074	NUM
cana-1311	236	11	-	-	PUNCT
cana-1311	236	12	133x	133x	NUM
cana-1311	236	13	vol	vol	NOUN
cana-1311	236	14	31	31	NUM
cana-1311	236	15	no	no	NOUN
cana-1311	236	16	.	.	PUNCT
cana-1311	237	1	7s	7	NOUN
cana-1311	237	2	(	(	PUNCT
cana-1311	237	3	2024	2024	NUM
cana-1311	237	4	)	)	PUNCT
cana-1311	237	5	340	340	NUM
cana-1311	238	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	238	2	necessitate	necessitate	ADJ
cana-1311	238	3	the	the	DET
cana-1311	238	4	use	use	NOUN
cana-1311	238	5	of	of	ADP
cana-1311	238	6	policies	policy	NOUN
cana-1311	238	7	,	,	PUNCT
cana-1311	238	8	decreasing	decrease	VERB
cana-1311	238	9	atmospheric	atmospheric	ADJ
cana-1311	238	10	emissions	emission	NOUN
cana-1311	238	11	,	,	PUNCT
cana-1311	238	12	public	public	ADJ
cana-1311	238	13	awareness	awareness	NOUN
cana-1311	238	14	campaigns	campaign	NOUN
cana-1311	238	15	and	and	CCONJ
cana-1311	238	16	cooperation	cooperation	NOUN
cana-1311	238	17	to	to	ADP
cana-1311	238	18	the	the	DET
cana-1311	238	19	government	government	NOUN
cana-1311	238	20	,	,	PUNCT
cana-1311	238	21	industries	industry	NOUN
cana-1311	238	22	and	and	CCONJ
cana-1311	238	23	the	the	DET
cana-1311	238	24	community	community	NOUN
cana-1311	238	25	.	.	PUNCT
cana-1311	239	1	the	the	DET
cana-1311	239	2	present	present	ADJ
cana-1311	239	3	study	study	NOUN
cana-1311	239	4	aims	aim	VERB
cana-1311	239	5	at	at	ADP
cana-1311	239	6	identifying	identify	VERB
cana-1311	239	7	the	the	DET
cana-1311	239	8	factors	factor	NOUN
cana-1311	239	9	needed	need	VERB
cana-1311	239	10	for	for	ADP
cana-1311	239	11	aqi	aqi	ADJ
cana-1311	239	12	prediction	prediction	NOUN
cana-1311	239	13	for	for	ADP
cana-1311	239	14	guwahati	guwahati	NOUN
cana-1311	239	15	and	and	CCONJ
cana-1311	239	16	parameters	parameter	NOUN
cana-1311	239	17	to	to	PART
cana-1311	239	18	be	be	AUX
cana-1311	239	19	incorporated	incorporate	VERB
cana-1311	239	20	for	for	ADP
cana-1311	239	21	developing	develop	VERB
cana-1311	239	22	an	an	DET
cana-1311	239	23	accurate	accurate	ADJ
cana-1311	239	24	aqi	aqi	NOUN
cana-1311	239	25	prediction	prediction	NOUN
cana-1311	239	26	model	model	NOUN
cana-1311	239	27	to	to	PART
cana-1311	239	28	support	support	VERB
cana-1311	239	29	air	air	NOUN
cana-1311	239	30	pollution	pollution	NOUN
cana-1311	239	31	management	management	NOUN
cana-1311	239	32	.	.	PUNCT
cana-1311	240	1	these	these	DET
cana-1311	240	2	models	model	NOUN
cana-1311	240	3	can	can	AUX
cana-1311	240	4	give	give	VERB
cana-1311	240	5	current	current	ADJ
cana-1311	240	6	occurrence	occurrence	NOUN
cana-1311	240	7	and	and	CCONJ
cana-1311	240	8	future	future	ADJ
cana-1311	240	9	predictions	prediction	NOUN
cana-1311	240	10	of	of	ADP
cana-1311	240	11	air	air	NOUN
cana-1311	240	12	quality	quality	NOUN
cana-1311	240	13	,	,	PUNCT
cana-1311	240	14	thereby	thereby	ADV
cana-1311	240	15	assisting	assist	VERB
cana-1311	240	16	authorities	authority	NOUN
cana-1311	240	17	in	in	ADP
cana-1311	240	18	implementing	implement	VERB
cana-1311	240	19	strategies	strategy	NOUN
cana-1311	240	20	to	to	PART
cana-1311	240	21	reduce	reduce	VERB
cana-1311	240	22	the	the	DET
cana-1311	240	23	impacts	impact	NOUN
cana-1311	240	24	of	of	ADP
cana-1311	240	25	air	air	NOUN
cana-1311	240	26	pollution	pollution	NOUN
cana-1311	240	27	.	.	PUNCT
cana-1311	241	1	using	use	VERB
cana-1311	241	2	these	these	DET
cana-1311	241	3	factors	factor	NOUN
cana-1311	241	4	for	for	ADP
cana-1311	241	5	models	model	NOUN
cana-1311	241	6	that	that	PRON
cana-1311	241	7	forecast	forecast	VERB
cana-1311	241	8	aqi	aqi	PROPN
cana-1311	241	9	in	in	ADP
cana-1311	241	10	guwahati	guwahati	PROPN
cana-1311	241	11	,	,	PUNCT
cana-1311	241	12	the	the	DET
cana-1311	241	13	government	government	NOUN
cana-1311	241	14	and	and	CCONJ
cana-1311	241	15	other	other	ADJ
cana-1311	241	16	authorities	authority	NOUN
cana-1311	241	17	can	can	AUX
cana-1311	241	18	decide	decide	VERB
cana-1311	241	19	on	on	ADP
cana-1311	241	20	controlling	control	VERB
cana-1311	241	21	measures	measure	NOUN
cana-1311	241	22	like	like	ADP
cana-1311	241	23	developing	develop	VERB
cana-1311	241	24	a	a	DET
cana-1311	241	25	traffic	traffic	NOUN
cana-1311	241	26	management	management	NOUN
cana-1311	241	27	plan	plan	NOUN
cana-1311	241	28	,	,	PUNCT
cana-1311	241	29	setting	set	VERB
cana-1311	241	30	the	the	DET
cana-1311	241	31	standards	standard	NOUN
cana-1311	241	32	of	of	ADP
cana-1311	241	33	industrial	industrial	ADJ
cana-1311	241	34	emissions	emission	NOUN
cana-1311	241	35	and	and	CCONJ
cana-1311	241	36	encouraging	encourage	VERB
cana-1311	241	37	the	the	DET
cana-1311	241	38	utilisation	utilisation	NOUN
cana-1311	241	39	of	of	ADP
cana-1311	241	40	clean	clean	ADJ
cana-1311	241	41	energy	energy	NOUN
cana-1311	241	42	resources	resource	NOUN
cana-1311	241	43	.	.	PUNCT
cana-1311	242	1	this	this	PRON
cana-1311	242	2	will	will	AUX
cana-1311	242	3	help	help	VERB
cana-1311	242	4	them	they	PRON
cana-1311	242	5	be	be	AUX
cana-1311	242	6	in	in	ADP
cana-1311	242	7	a	a	DET
cana-1311	242	8	position	position	NOUN
cana-1311	242	9	to	to	PART
cana-1311	242	10	respond	respond	VERB
cana-1311	242	11	adequately	adequately	ADV
cana-1311	242	12	to	to	ADP
cana-1311	242	13	air	air	NOUN
cana-1311	242	14	quality	quality	NOUN
cana-1311	242	15	matters	matter	NOUN
cana-1311	242	16	and	and	CCONJ
cana-1311	242	17	to	to	PART
cana-1311	242	18	ensure	ensure	VERB
cana-1311	242	19	public	public	ADJ
cana-1311	242	20	health	health	NOUN
cana-1311	242	21	in	in	ADP
cana-1311	242	22	the	the	DET
cana-1311	242	23	true	true	ADJ
cana-1311	242	24	sense	sense	NOUN
cana-1311	242	25	for	for	SCONJ
cana-1311	242	26	people	people	NOUN
cana-1311	242	27	in	in	ADP
cana-1311	242	28	the	the	DET
cana-1311	242	29	city	city	NOUN
cana-1311	242	30	is	be	AUX
cana-1311	242	31	maintained	maintain	VERB
cana-1311	242	32	.	.	PUNCT
cana-1311	243	1	4.2	4.2	NUM
cana-1311	243	2	.	.	PUNCT
cana-1311	243	3	comparison	comparison	NOUN
cana-1311	243	4	for	for	ADP
cana-1311	243	5	aqi	aqi	NOUN
cana-1311	243	6	models	model	NOUN
cana-1311	243	7	table	table	NOUN
cana-1311	243	8	4	4	NUM
cana-1311	243	9	showed	show	VERB
cana-1311	243	10	the	the	DET
cana-1311	243	11	comparison	comparison	NOUN
cana-1311	243	12	of	of	ADP
cana-1311	243	13	ml	ml	NOUN
cana-1311	243	14	models	model	NOUN
cana-1311	243	15	for	for	ADP
cana-1311	243	16	predicting	predict	VERB
cana-1311	243	17	aqi	aqi	PROPN
cana-1311	243	18	between	between	ADP
cana-1311	243	19	actual	actual	ADJ
cana-1311	243	20	data	datum	NOUN
cana-1311	243	21	and	and	CCONJ
cana-1311	243	22	transformed	transform	VERB
cana-1311	243	23	data	datum	NOUN
cana-1311	243	24	.	.	PUNCT
cana-1311	244	1	the	the	DET
cana-1311	244	2	model	model	NOUN
cana-1311	244	3	evaluations	evaluation	NOUN
cana-1311	244	4	utilized	utilize	VERB
cana-1311	244	5	for	for	ADP
cana-1311	244	6	this	this	DET
cana-1311	244	7	study	study	NOUN
cana-1311	244	8	were	be	AUX
cana-1311	244	9	r	r	NOUN
cana-1311	244	10	2	2	NUM
cana-1311	244	11	,	,	PUNCT
cana-1311	244	12	rmse	rmse	NOUN
cana-1311	244	13	and	and	CCONJ
cana-1311	244	14	mae	mae	PROPN
cana-1311	244	15	.	.	PROPN
cana-1311	245	1	among	among	ADP
cana-1311	245	2	these	these	DET
cana-1311	245	3	three	three	NUM
cana-1311	245	4	models	model	NOUN
cana-1311	245	5	on	on	ADP
cana-1311	245	6	actual	actual	ADJ
cana-1311	245	7	data	datum	NOUN
cana-1311	245	8	,	,	PUNCT
cana-1311	245	9	knnr	knnr	NOUN
cana-1311	245	10	scores	score	NOUN
cana-1311	245	11	the	the	DET
cana-1311	245	12	highest	high	ADJ
cana-1311	245	13	value	value	NOUN
cana-1311	245	14	of	of	ADP
cana-1311	245	15	r	r	NOUN
cana-1311	245	16	2	2	NUM
cana-1311	245	17	equal	equal	ADJ
cana-1311	245	18	to	to	ADP
cana-1311	245	19	0.719	0.719	NUM
cana-1311	245	20	,	,	PUNCT
cana-1311	245	21	rmse	rmse	NOUN
cana-1311	245	22	of	of	ADP
cana-1311	245	23	62.384	62.384	NUM
cana-1311	245	24	and	and	CCONJ
cana-1311	245	25	mae	mae	PROPN
cana-1311	245	26	of	of	ADP
cana-1311	245	27	31.233	31.233	NUM
cana-1311	245	28	as	as	SCONJ
cana-1311	245	29	compared	compare	VERB
cana-1311	245	30	to	to	ADP
cana-1311	245	31	the	the	DET
cana-1311	245	32	other	other	ADJ
cana-1311	245	33	two	two	NUM
cana-1311	245	34	models	model	NOUN
cana-1311	245	35	while	while	SCONJ
cana-1311	245	36	dtr	dtr	NOUN
cana-1311	245	37	exhibited	exhibit	VERB
cana-1311	245	38	the	the	DET
cana-1311	245	39	lowest	low	ADJ
cana-1311	245	40	score	score	NOUN
cana-1311	245	41	in	in	ADP
cana-1311	245	42	r	r	NOUN
cana-1311	245	43	2	2	NUM
cana-1311	245	44	of	of	ADP
cana-1311	245	45	0.673	0.673	NUM
cana-1311	245	46	and	and	CCONJ
cana-1311	245	47	the	the	DET
cana-1311	245	48	highest	high	ADJ
cana-1311	245	49	score	score	NOUN
cana-1311	245	50	in	in	ADP
cana-1311	245	51	rmse	rmse	NOUN
cana-1311	245	52	of	of	ADP
cana-1311	245	53	67.372	67.372	NUM
cana-1311	245	54	and	and	CCONJ
cana-1311	245	55	mae	mae	PROPN
cana-1311	245	56	of	of	ADP
cana-1311	245	57	35.845	35.845	NUM
cana-1311	245	58	.	.	PUNCT
cana-1311	246	1	rfr	rfr	PROPN
cana-1311	246	2	lies	lie	VERB
cana-1311	246	3	between	between	ADP
cana-1311	246	4	the	the	DET
cana-1311	246	5	two	two	NUM
cana-1311	246	6	models	model	NOUN
cana-1311	246	7	displayed	display	VERB
cana-1311	246	8	slightly	slightly	ADV
cana-1311	246	9	lower	low	ADJ
cana-1311	246	10	performance	performance	NOUN
cana-1311	246	11	than	than	ADP
cana-1311	246	12	knnr	knnr	NOUN
cana-1311	246	13	,	,	PUNCT
cana-1311	246	14	scoring	score	VERB
cana-1311	246	15	r	r	NOUN
cana-1311	246	16	2	2	NUM
cana-1311	246	17	of	of	ADP
cana-1311	246	18	0.703	0.703	NUM
cana-1311	246	19	,	,	PUNCT
cana-1311	246	20	rmse	rmse	NOUN
cana-1311	246	21	of	of	ADP
cana-1311	246	22	64.047	64.047	NUM
cana-1311	246	23	and	and	CCONJ
cana-1311	246	24	mse	mse	NOUN
cana-1311	246	25	of	of	ADP
cana-1311	246	26	33.21	33.21	NUM
cana-1311	246	27	.	.	PUNCT
cana-1311	247	1	in	in	ADP
cana-1311	247	2	the	the	DET
cana-1311	247	3	context	context	NOUN
cana-1311	247	4	of	of	ADP
cana-1311	247	5	transformed	transform	VERB
cana-1311	247	6	data	datum	NOUN
cana-1311	247	7	,	,	PUNCT
cana-1311	247	8	knnr	knnr	NOUN
cana-1311	247	9	continues	continue	VERB
cana-1311	247	10	to	to	PART
cana-1311	247	11	outperform	outperform	VERB
cana-1311	247	12	rfr	rfr	PROPN
cana-1311	247	13	and	and	CCONJ
cana-1311	247	14	dtr	dtr	NOUN
cana-1311	247	15	models	model	NOUN
cana-1311	247	16	with	with	ADP
cana-1311	247	17	the	the	DET
cana-1311	247	18	highest	high	ADJ
cana-1311	247	19	score	score	NOUN
cana-1311	247	20	in	in	ADP
cana-1311	247	21	r	r	NOUN
cana-1311	247	22	2	2	NUM
cana-1311	247	23	value	value	NOUN
cana-1311	247	24	of	of	ADP
cana-1311	247	25	0.837	0.837	NUM
cana-1311	247	26	,	,	PUNCT
cana-1311	247	27	rmse	rmse	NOUN
cana-1311	247	28	of	of	ADP
cana-1311	247	29	0.202	0.202	NUM
cana-1311	247	30	and	and	CCONJ
cana-1311	247	31	mae	mae	PROPN
cana-1311	247	32	of	of	ADP
cana-1311	247	33	0.136	0.136	NUM
cana-1311	247	34	.	.	PUNCT
cana-1311	248	1	the	the	DET
cana-1311	248	2	rfr	rfr	PROPN
cana-1311	248	3	model	model	NOUN
cana-1311	248	4	closely	closely	ADV
cana-1311	248	5	reflects	reflect	VERB
cana-1311	248	6	knnr	knnr	NOUN
cana-1311	248	7	results	result	NOUN
cana-1311	248	8	,	,	PUNCT
cana-1311	248	9	yielding	yield	VERB
cana-1311	248	10	r	r	NOUN
cana-1311	248	11	2	2	NUM
cana-1311	248	12	equal	equal	ADJ
cana-1311	248	13	to	to	ADP
cana-1311	248	14	0.812	0.812	NUM
cana-1311	248	15	,	,	PUNCT
cana-1311	248	16	rmse	rmse	NOUN
cana-1311	248	17	of	of	ADP
cana-1311	248	18	0.217	0.217	NUM
cana-1311	248	19	and	and	CCONJ
cana-1311	248	20	mae	mae	PROPN
cana-1311	248	21	of	of	ADP
cana-1311	248	22	0.151	0.151	NUM
cana-1311	248	23	,	,	PUNCT
cana-1311	248	24	while	while	SCONJ
cana-1311	248	25	dtr	dtr	NOUN
cana-1311	248	26	remains	remain	VERB
cana-1311	248	27	the	the	DET
cana-1311	248	28	lowest	low	ADJ
cana-1311	248	29	performing	performing	NOUN
cana-1311	248	30	model	model	NOUN
cana-1311	248	31	scoring	scoring	NOUN
cana-1311	248	32	r	r	NOUN
cana-1311	248	33	2	2	NUM
cana-1311	248	34	of	of	ADP
cana-1311	248	35	0.757	0.757	NUM
cana-1311	248	36	,	,	PUNCT
cana-1311	248	37	rmse	rmse	NOUN
cana-1311	248	38	of	of	ADP
cana-1311	248	39	0.247	0.247	NUM
cana-1311	248	40	and	and	CCONJ
cana-1311	248	41	mae	mae	PROPN
cana-1311	248	42	of	of	ADP
cana-1311	248	43	0.174	0.174	NUM
cana-1311	248	44	.	.	PUNCT
cana-1311	249	1	as	as	SCONJ
cana-1311	249	2	shown	show	VERB
cana-1311	249	3	in	in	ADP
cana-1311	249	4	fig	fig	NOUN
cana-1311	249	5	.	.	PUNCT
cana-1311	250	1	5	5	NUM
cana-1311	250	2	,	,	PUNCT
cana-1311	250	3	increases	increase	VERB
cana-1311	250	4	in	in	ADP
cana-1311	250	5	r	r	NOUN
cana-1311	250	6	2	2	NUM
cana-1311	250	7	values	value	NOUN
cana-1311	250	8	in	in	ADP
cana-1311	250	9	the	the	DET
cana-1311	250	10	transformed	transform	VERB
cana-1311	250	11	data	datum	NOUN
cana-1311	250	12	consistently	consistently	ADV
cana-1311	250	13	improves	improve	VERB
cana-1311	250	14	the	the	DET
cana-1311	250	15	performance	performance	NOUN
cana-1311	250	16	of	of	ADP
cana-1311	250	17	the	the	DET
cana-1311	250	18	three	three	NUM
cana-1311	250	19	models	model	NOUN
cana-1311	250	20	and	and	CCONJ
cana-1311	250	21	also	also	ADV
cana-1311	250	22	decreases	decrease	VERB
cana-1311	250	23	in	in	ADP
cana-1311	250	24	rmse	rmse	NOUN
cana-1311	250	25	and	and	CCONJ
cana-1311	250	26	mae	mae	PROPN
cana-1311	250	27	values	value	NOUN
cana-1311	250	28	as	as	ADP
cana-1311	250	29	compared	compare	VERB
cana-1311	250	30	to	to	ADP
cana-1311	250	31	actual	actual	ADJ
cana-1311	250	32	data	datum	NOUN
cana-1311	250	33	.	.	PUNCT
cana-1311	251	1	this	this	PRON
cana-1311	251	2	indicates	indicate	VERB
cana-1311	251	3	that	that	SCONJ
cana-1311	251	4	data	datum	NOUN
cana-1311	251	5	transformation	transformation	NOUN
cana-1311	251	6	significantly	significantly	ADV
cana-1311	251	7	amplifies	amplify	VERB
cana-1311	251	8	the	the	DET
cana-1311	251	9	accuracy	accuracy	NOUN
cana-1311	251	10	and	and	CCONJ
cana-1311	251	11	robustness	robustness	NOUN
cana-1311	251	12	of	of	ADP
cana-1311	251	13	the	the	DET
cana-1311	251	14	model	model	NOUN
cana-1311	251	15	output	output	NOUN
cana-1311	251	16	.	.	PUNCT
cana-1311	252	1	knnr	knnr	NOUN
cana-1311	252	2	outperformed	outperform	VERB
cana-1311	252	3	the	the	DET
cana-1311	252	4	other	other	ADJ
cana-1311	252	5	two	two	NUM
cana-1311	252	6	models	model	NOUN
cana-1311	252	7	with	with	ADP
cana-1311	252	8	the	the	DET
cana-1311	252	9	highest	high	ADJ
cana-1311	252	10	score	score	NOUN
cana-1311	252	11	in	in	ADP
cana-1311	252	12	r	r	NOUN
cana-1311	252	13	2	2	NUM
cana-1311	252	14	,	,	PUNCT
cana-1311	252	15	least	least	ADJ
cana-1311	252	16	score	score	VERB
cana-1311	252	17	in	in	ADP
cana-1311	252	18	rmse	rmse	NOUN
cana-1311	252	19	and	and	CCONJ
cana-1311	252	20	mae	mae	PROPN
cana-1311	252	21	in	in	ADP
cana-1311	252	22	both	both	CCONJ
cana-1311	252	23	actual	actual	ADJ
cana-1311	252	24	and	and	CCONJ
cana-1311	252	25	transformed	transform	VERB
cana-1311	252	26	datasets	dataset	NOUN
cana-1311	252	27	.	.	PUNCT
cana-1311	253	1	figs	fig	NOUN
cana-1311	253	2	.	.	PUNCT
cana-1311	254	1	7	7	NUM
cana-1311	254	2	,	,	PUNCT
cana-1311	254	3	8	8	NUM
cana-1311	254	4	and	and	CCONJ
cana-1311	254	5	9	9	NUM
cana-1311	254	6	demonstrates	demonstrate	VERB
cana-1311	254	7	the	the	DET
cana-1311	254	8	predictive	predictive	ADJ
cana-1311	254	9	performance	performance	NOUN
cana-1311	254	10	of	of	ADP
cana-1311	254	11	both	both	CCONJ
cana-1311	254	12	actual	actual	ADJ
cana-1311	254	13	and	and	CCONJ
cana-1311	254	14	transformed	transform	VERB
cana-1311	254	15	data	datum	NOUN
cana-1311	254	16	.	.	PUNCT
cana-1311	255	1	due	due	ADP
cana-1311	255	2	to	to	ADP
cana-1311	255	3	its	its	PRON
cana-1311	255	4	best	good	ADJ
cana-1311	255	5	performance	performance	NOUN
cana-1311	255	6	,	,	PUNCT
cana-1311	255	7	feature	feature	VERB
cana-1311	255	8	importance	importance	NOUN
cana-1311	255	9	for	for	ADP
cana-1311	255	10	predicting	predict	VERB
cana-1311	255	11	aqi	aqi	NOUN
cana-1311	255	12	for	for	SCONJ
cana-1311	255	13	knnr	knnr	ADJ
cana-1311	255	14	model	model	NOUN
cana-1311	255	15	is	be	AUX
cana-1311	255	16	shown	show	VERB
cana-1311	255	17	in	in	ADP
cana-1311	255	18	fig	fig	NOUN
cana-1311	255	19	.	.	PUNCT
cana-1311	256	1	6	6	NUM
cana-1311	256	2	.	.	X
cana-1311	256	3	from	from	ADP
cana-1311	256	4	this	this	DET
cana-1311	256	5	feature	feature	NOUN
cana-1311	256	6	importance	importance	NOUN
cana-1311	256	7	figure	figure	NOUN
cana-1311	256	8	,	,	PUNCT
cana-1311	256	9	it	it	PRON
cana-1311	256	10	has	have	AUX
cana-1311	256	11	been	be	AUX
cana-1311	256	12	determined	determine	VERB
cana-1311	256	13	that	that	SCONJ
cana-1311	256	14	pm10	pm10	PROPN
cana-1311	256	15	and	and	CCONJ
cana-1311	256	16	pm2.5	pm2.5	PROPN
cana-1311	256	17	are	be	AUX
cana-1311	256	18	the	the	DET
cana-1311	256	19	most	most	ADV
cana-1311	256	20	significant	significant	ADJ
cana-1311	256	21	factors	factor	NOUN
cana-1311	256	22	for	for	ADP
cana-1311	256	23	determining	determine	VERB
cana-1311	256	24	aqi	aqi	PROPN
cana-1311	256	25	.	.	PUNCT
cana-1311	257	1	this	this	PRON
cana-1311	257	2	indicates	indicate	VERB
cana-1311	257	3	the	the	DET
cana-1311	257	4	need	need	NOUN
cana-1311	257	5	to	to	PART
cana-1311	257	6	enhance	enhance	VERB
cana-1311	257	7	the	the	DET
cana-1311	257	8	regulation	regulation	NOUN
cana-1311	257	9	of	of	ADP
cana-1311	257	10	particulate	particulate	NOUN
cana-1311	257	11	emissions	emission	NOUN
cana-1311	257	12	to	to	PART
cana-1311	257	13	improve	improve	VERB
cana-1311	257	14	atmospheric	atmospheric	ADJ
cana-1311	257	15	conditions	condition	NOUN
cana-1311	257	16	in	in	ADP
cana-1311	257	17	the	the	DET
cana-1311	257	18	city	city	NOUN
cana-1311	257	19	.	.	PUNCT
cana-1311	258	1	some	some	DET
cana-1311	258	2	important	important	ADJ
cana-1311	258	3	gaseous	gaseous	ADJ
cana-1311	258	4	pollutants	pollutant	NOUN
cana-1311	258	5	,	,	PUNCT
cana-1311	258	6	which	which	PRON
cana-1311	258	7	help	help	VERB
cana-1311	258	8	in	in	ADP
cana-1311	258	9	enhancing	enhance	VERB
cana-1311	258	10	the	the	DET
cana-1311	258	11	primary	primary	NOUN
cana-1311	258	12	as	as	ADV
cana-1311	258	13	well	well	ADV
cana-1311	258	14	as	as	ADP
cana-1311	258	15	secondary	secondary	ADJ
cana-1311	258	16	air	air	NOUN
cana-1311	258	17	pollutants	pollutant	NOUN
cana-1311	258	18	are	be	AUX
cana-1311	258	19	nh3	nh3	NOUN
cana-1311	258	20	,	,	PUNCT
cana-1311	258	21	co	co	ADJ
cana-1311	258	22	,	,	PUNCT
cana-1311	258	23	nox	nox	NOUN
cana-1311	258	24	,	,	PUNCT
cana-1311	258	25	no	no	INTJ
cana-1311	258	26	,	,	PUNCT
cana-1311	258	27	so2	so2	PROPN
cana-1311	258	28	,	,	PUNCT
cana-1311	258	29	o3	o3	PROPN
cana-1311	258	30	,	,	PUNCT
cana-1311	258	31	benzene	benzene	NOUN
cana-1311	258	32	and	and	CCONJ
cana-1311	258	33	no2	no2	NOUN
cana-1311	258	34	.	.	PUNCT
cana-1311	259	1	most	most	ADJ
cana-1311	259	2	of	of	ADP
cana-1311	259	3	the	the	DET
cana-1311	259	4	priority	priority	NOUN
cana-1311	259	5	pollutants	pollutant	NOUN
cana-1311	259	6	identified	identify	VERB
cana-1311	259	7	in	in	ADP
cana-1311	259	8	this	this	DET
cana-1311	259	9	study	study	NOUN
cana-1311	259	10	are	be	AUX
cana-1311	259	11	confirmed	confirm	VERB
cana-1311	259	12	to	to	PART
cana-1311	259	13	affect	affect	VERB
cana-1311	259	14	human	human	ADJ
cana-1311	259	15	health	health	NOUN
cana-1311	259	16	and	and	CCONJ
cana-1311	259	17	play	play	VERB
cana-1311	259	18	a	a	DET
cana-1311	259	19	vital	vital	ADJ
cana-1311	259	20	part	part	NOUN
cana-1311	259	21	in	in	ADP
cana-1311	259	22	the	the	DET
cana-1311	259	23	deterioration	deterioration	NOUN
cana-1311	259	24	of	of	ADP
cana-1311	259	25	air	air	NOUN
cana-1311	259	26	quality	quality	NOUN
cana-1311	259	27	[	[	X
cana-1311	259	28	14	14	NUM
cana-1311	259	29	]	]	PUNCT
cana-1311	259	30	.	.	PUNCT
cana-1311	260	1	with	with	ADP
cana-1311	260	2	these	these	DET
cana-1311	260	3	contributions	contribution	NOUN
cana-1311	260	4	in	in	ADP
cana-1311	260	5	mind	mind	NOUN
cana-1311	260	6	,	,	PUNCT
cana-1311	260	7	it	it	PRON
cana-1311	260	8	becomes	become	VERB
cana-1311	260	9	easier	easy	ADJ
cana-1311	260	10	for	for	SCONJ
cana-1311	260	11	the	the	DET
cana-1311	260	12	authorities	authority	NOUN
cana-1311	260	13	to	to	PART
cana-1311	260	14	focus	focus	VERB
cana-1311	260	15	on	on	ADP
cana-1311	260	16	methods	method	NOUN
cana-1311	260	17	to	to	PART
cana-1311	260	18	control	control	VERB
cana-1311	260	19	emissions	emission	NOUN
cana-1311	260	20	and	and	CCONJ
cana-1311	260	21	ways	way	NOUN
cana-1311	260	22	of	of	ADP
cana-1311	260	23	enhancing	enhance	VERB
cana-1311	260	24	the	the	DET
cana-1311	260	25	health	health	NOUN
cana-1311	260	26	of	of	ADP
cana-1311	260	27	people	people	NOUN
cana-1311	260	28	in	in	ADP
cana-1311	260	29	guwahati	guwahati	NOUN
cana-1311	260	30	by	by	ADP
cana-1311	260	31	foster	foster	ADJ
cana-1311	260	32	better	well	ADJ
cana-1311	260	33	air	air	NOUN
cana-1311	260	34	quality	quality	NOUN
cana-1311	260	35	.	.	PUNCT
cana-1311	261	1	table	table	NOUN
cana-1311	261	2	4	4	NUM
cana-1311	261	3	:	:	PUNCT
cana-1311	261	4	comparison	comparison	NOUN
cana-1311	261	5	of	of	ADP
cana-1311	261	6	ml	ml	NOUN
cana-1311	261	7	regression	regression	NOUN
cana-1311	261	8	models	model	NOUN
cana-1311	261	9	in	in	ADP
cana-1311	261	10	actual	actual	ADJ
cana-1311	261	11	and	and	CCONJ
cana-1311	261	12	transform	transform	VERB
cana-1311	261	13	data	datum	NOUN
cana-1311	261	14	.	.	PUNCT
cana-1311	262	1	models	model	NOUN
cana-1311	262	2	actual	actual	ADJ
cana-1311	262	3	data	datum	NOUN
cana-1311	262	4	transform	transform	VERB
cana-1311	262	5	data	datum	NOUN
cana-1311	262	6	r²	r²	NOUN
cana-1311	262	7	rmse	rmse	NOUN
cana-1311	262	8	mae	mae	PROPN
cana-1311	262	9	r²	r²	PROPN
cana-1311	262	10	rmse	rmse	PROPN
cana-1311	262	11	mae	mae	PROPN
cana-1311	262	12	communications	communication	NOUN
cana-1311	262	13	on	on	ADP
cana-1311	262	14	applied	apply	VERB
cana-1311	262	15	nonlinear	nonlinear	ADJ
cana-1311	262	16	analysis	analysis	NOUN
cana-1311	262	17	issn	issn	NOUN
cana-1311	262	18	:	:	PUNCT
cana-1311	262	19	1074	1074	NUM
cana-1311	262	20	-	-	PUNCT
cana-1311	262	21	133x	133x	NUM
cana-1311	262	22	vol	vol	NOUN
cana-1311	262	23	31	31	NUM
cana-1311	262	24	no	no	NOUN
cana-1311	262	25	.	.	PUNCT
cana-1311	263	1	7s	7	NOUN
cana-1311	263	2	(	(	PUNCT
cana-1311	263	3	2024	2024	NUM
cana-1311	263	4	)	)	PUNCT
cana-1311	263	5	341	341	NUM
cana-1311	263	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	263	7	dtr	dtr	VERB
cana-1311	263	8	0.673	0.673	NUM
cana-1311	263	9	67.372	67.372	NUM
cana-1311	263	10	35.845	35.845	NUM
cana-1311	263	11	0.757	0.757	NUM
cana-1311	263	12	0.247	0.247	NUM
cana-1311	263	13	0.174	0.174	NUM
cana-1311	263	14	rfr	rfr	PROPN
cana-1311	263	15	0.703	0.703	NUM
cana-1311	263	16	64.047	64.047	NUM
cana-1311	263	17	33.21	33.21	NUM
cana-1311	263	18	0.812	0.812	NUM
cana-1311	263	19	0.217	0.217	NUM
cana-1311	263	20	0.151	0.151	NUM
cana-1311	263	21	knnr	knnr	NOUN
cana-1311	263	22	0.719	0.719	NUM
cana-1311	263	23	62.384	62.384	NUM
cana-1311	263	24	31.233	31.233	NUM
cana-1311	263	25	0.837	0.837	NUM
cana-1311	263	26	0.202	0.202	NUM
cana-1311	263	27	0.136	0.136	NUM
cana-1311	263	28	fig	fig	NOUN
cana-1311	263	29	.	.	PUNCT
cana-1311	264	1	5	5	NUM
cana-1311	264	2	:	:	PUNCT
cana-1311	264	3	comparison	comparison	NOUN
cana-1311	264	4	of	of	ADP
cana-1311	264	5	r²	r²	NOUN
cana-1311	264	6	for	for	ADP
cana-1311	264	7	actual	actual	ADJ
cana-1311	264	8	and	and	CCONJ
cana-1311	264	9	transformed	transform	VERB
cana-1311	264	10	data	datum	NOUN
cana-1311	264	11	.	.	PUNCT
cana-1311	265	1	fig	fig	NOUN
cana-1311	265	2	6	6	NUM
cana-1311	265	3	:	:	PUNCT
cana-1311	265	4	feature	feature	VERB
cana-1311	265	5	importance	importance	NOUN
cana-1311	265	6	for	for	ADP
cana-1311	265	7	forecasting	forecasting	NOUN
cana-1311	265	8	aqi	aqi	NOUN
cana-1311	265	9	in	in	ADP
cana-1311	265	10	knnr	knnr	NOUN
cana-1311	265	11	.	.	PUNCT
cana-1311	266	1	fig	fig	NOUN
cana-1311	266	2	.	.	PUNCT
cana-1311	267	1	7	7	NUM
cana-1311	267	2	:	:	PUNCT
cana-1311	267	3	comparison	comparison	NOUN
cana-1311	267	4	of	of	ADP
cana-1311	267	5	predictive	predictive	ADJ
cana-1311	267	6	performance	performance	NOUN
cana-1311	267	7	plot	plot	NOUN
cana-1311	267	8	in	in	ADP
cana-1311	267	9	dtr	dtr	NOUN
cana-1311	267	10	model	model	NOUN
cana-1311	267	11	for	for	ADP
cana-1311	267	12	actual	actual	ADJ
cana-1311	267	13	and	and	CCONJ
cana-1311	267	14	transform	transform	VERB
cana-1311	267	15	data	datum	NOUN
cana-1311	267	16	.	.	PUNCT
cana-1311	268	1	0	0	NUM
cana-1311	268	2	0.2	0.2	NUM
cana-1311	268	3	0.4	0.4	NUM
cana-1311	268	4	0.6	0.6	NUM
cana-1311	268	5	0.8	0.8	NUM
cana-1311	268	6	1	1	NUM
cana-1311	268	7	dtr	dtr	NOUN
cana-1311	268	8	rfr	rfr	PROPN
cana-1311	268	9	knnr	knnr	NOUN
cana-1311	268	10	coefficient	coefficient	NOUN
cana-1311	268	11	of	of	ADP
cana-1311	268	12	determination	determination	NOUN
cana-1311	268	13	actual	actual	ADJ
cana-1311	268	14	0	0	NUM
cana-1311	268	15	5	5	NUM
cana-1311	268	16	10	10	NUM
cana-1311	268	17	15	15	NUM
cana-1311	268	18	20	20	NUM
cana-1311	268	19	25	25	NUM
cana-1311	268	20	no2	no2	NOUN
cana-1311	268	21	benzene	benzene	NOUN
cana-1311	268	22	o3	o3	PROPN
cana-1311	268	23	so2	so2	PROPN
cana-1311	269	1	no	no	DET
cana-1311	269	2	nox	nox	PROPN
cana-1311	269	3	co	co	NOUN
cana-1311	269	4	nh3	nh3	PROPN
cana-1311	269	5	pm2.5	pm2.5	PRON
cana-1311	269	6	pm10	pm10	PROPN
cana-1311	269	7	p	p	PROPN
cana-1311	269	8	o	o	X
cana-1311	269	9	ll	ll	AUX
cana-1311	269	10	u	u	NOUN
cana-1311	269	11	ta	ta	ADP
cana-1311	269	12	n	n	CCONJ
cana-1311	269	13	ts	ts	ADP
cana-1311	269	14	feature	feature	NOUN
cana-1311	269	15	importance	importance	NOUN
cana-1311	269	16	communications	communication	NOUN
cana-1311	269	17	on	on	ADP
cana-1311	269	18	applied	apply	VERB
cana-1311	269	19	nonlinear	nonlinear	ADJ
cana-1311	269	20	analysis	analysis	NOUN
cana-1311	269	21	issn	issn	NOUN
cana-1311	269	22	:	:	PUNCT
cana-1311	269	23	1074	1074	NUM
cana-1311	269	24	-	-	PUNCT
cana-1311	269	25	133x	133x	NUM
cana-1311	269	26	vol	vol	NOUN
cana-1311	269	27	31	31	NUM
cana-1311	269	28	no	no	NOUN
cana-1311	269	29	.	.	PUNCT
cana-1311	270	1	7s	7	NOUN
cana-1311	270	2	(	(	PUNCT
cana-1311	270	3	2024	2024	NUM
cana-1311	270	4	)	)	PUNCT
cana-1311	270	5	342	342	NUM
cana-1311	270	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	270	7	fig	fig	NOUN
cana-1311	270	8	.	.	PUNCT
cana-1311	271	1	8	8	NUM
cana-1311	271	2	:	:	PUNCT
cana-1311	271	3	comparison	comparison	NOUN
cana-1311	271	4	of	of	ADP
cana-1311	271	5	predictive	predictive	ADJ
cana-1311	271	6	performance	performance	NOUN
cana-1311	271	7	plot	plot	NOUN
cana-1311	271	8	in	in	ADP
cana-1311	271	9	rfr	rfr	PROPN
cana-1311	271	10	model	model	NOUN
cana-1311	271	11	for	for	ADP
cana-1311	271	12	actual	actual	ADJ
cana-1311	271	13	and	and	CCONJ
cana-1311	271	14	transform	transform	VERB
cana-1311	271	15	data	datum	NOUN
cana-1311	271	16	.	.	PUNCT
cana-1311	272	1	fig	fig	NOUN
cana-1311	272	2	.	.	PUNCT
cana-1311	273	1	9	9	NUM
cana-1311	273	2	:	:	PUNCT
cana-1311	273	3	comparison	comparison	NOUN
cana-1311	273	4	of	of	ADP
cana-1311	273	5	predictive	predictive	ADJ
cana-1311	273	6	performance	performance	NOUN
cana-1311	273	7	plot	plot	NOUN
cana-1311	273	8	in	in	ADP
cana-1311	273	9	knnr	knnr	ADJ
cana-1311	273	10	model	model	NOUN
cana-1311	273	11	for	for	ADP
cana-1311	273	12	actual	actual	ADJ
cana-1311	273	13	and	and	CCONJ
cana-1311	273	14	transform	transform	VERB
cana-1311	273	15	data	datum	NOUN
cana-1311	273	16	.	.	PUNCT
cana-1311	274	1	4.3	4.3	NUM
cana-1311	274	2	.	.	PUNCT
cana-1311	274	3	comparison	comparison	NOUN
cana-1311	274	4	for	for	ADP
cana-1311	274	5	aql	aql	NOUN
cana-1311	274	6	models	model	NOUN
cana-1311	274	7	from	from	ADP
cana-1311	274	8	table	table	NOUN
cana-1311	274	9	5	5	NUM
cana-1311	274	10	,	,	PUNCT
cana-1311	274	11	rfc	rfc	PRON
cana-1311	274	12	demonstrates	demonstrate	VERB
cana-1311	274	13	the	the	DET
cana-1311	274	14	highest	high	ADJ
cana-1311	274	15	accuracy	accuracy	NOUN
cana-1311	274	16	of	of	ADP
cana-1311	274	17	90.8	90.8	NUM
cana-1311	274	18	%	%	NOUN
cana-1311	274	19	,	,	PUNCT
cana-1311	274	20	f1	f1	NOUN
cana-1311	274	21	score	score	NOUN
cana-1311	274	22	of	of	ADP
cana-1311	274	23	0.718	0.718	NUM
cana-1311	274	24	,	,	PUNCT
cana-1311	274	25	mcc	mcc	NOUN
cana-1311	274	26	of	of	ADP
cana-1311	274	27	0.749	0.749	NUM
cana-1311	274	28	and	and	CCONJ
cana-1311	274	29	the	the	DET
cana-1311	274	30	highest	high	ADJ
cana-1311	274	31	auc	auc	NOUN
cana-1311	274	32	of	of	ADP
cana-1311	274	33	0.937	0.937	NUM
cana-1311	274	34	indicates	indicate	VERB
cana-1311	274	35	that	that	SCONJ
cana-1311	274	36	rfc	rfc	PROPN
cana-1311	274	37	is	be	AUX
cana-1311	274	38	doing	do	VERB
cana-1311	274	39	a	a	DET
cana-1311	274	40	good	good	ADJ
cana-1311	274	41	job	job	NOUN
cana-1311	274	42	in	in	ADP
cana-1311	274	43	classifying	classify	VERB
cana-1311	274	44	aql	aql	PROPN
cana-1311	274	45	.	.	PUNCT
cana-1311	275	1	knnc	knnc	PROPN
cana-1311	275	2	ranks	rank	VERB
cana-1311	275	3	as	as	ADP
cana-1311	275	4	the	the	DET
cana-1311	275	5	second	second	ADV
cana-1311	275	6	-	-	PUNCT
cana-1311	275	7	best	good	ADJ
cana-1311	275	8	performing	performing	NOUN
cana-1311	275	9	model	model	NOUN
cana-1311	275	10	,	,	PUNCT
cana-1311	275	11	slightly	slightly	ADV
cana-1311	275	12	behind	behind	ADP
cana-1311	275	13	rfc	rfc	NOUN
cana-1311	275	14	with	with	ADP
cana-1311	275	15	a	a	DET
cana-1311	275	16	decent	decent	ADJ
cana-1311	275	17	accuracy	accuracy	NOUN
cana-1311	275	18	of	of	ADP
cana-1311	275	19	89.7	89.7	NUM
cana-1311	275	20	%	%	NOUN
cana-1311	275	21	,	,	PUNCT
cana-1311	275	22	f1	f1	ADJ
cana-1311	275	23	score	score	NOUN
cana-1311	275	24	of	of	ADP
cana-1311	275	25	0.689	0.689	NUM
cana-1311	275	26	and	and	CCONJ
cana-1311	275	27	a	a	DET
cana-1311	275	28	slightly	slightly	ADV
cana-1311	275	29	higher	high	ADJ
cana-1311	275	30	mcc	mcc	NOUN
cana-1311	275	31	of	of	ADP
cana-1311	275	32	0.754	0.754	NUM
cana-1311	275	33	,	,	PUNCT
cana-1311	275	34	suggesting	suggest	VERB
cana-1311	275	35	that	that	SCONJ
cana-1311	275	36	while	while	SCONJ
cana-1311	275	37	its	its	PRON
cana-1311	275	38	class	class	NOUN
cana-1311	275	39	prediction	prediction	NOUN
cana-1311	275	40	balance	balance	NOUN
cana-1311	275	41	is	be	AUX
cana-1311	275	42	marginally	marginally	ADV
cana-1311	275	43	better	well	ADJ
cana-1311	275	44	than	than	ADP
cana-1311	275	45	rfc	rfc	PRON
cana-1311	275	46	and	and	CCONJ
cana-1311	275	47	it	it	PRON
cana-1311	275	48	falls	fall	VERB
cana-1311	275	49	short	short	ADJ
cana-1311	275	50	in	in	ADP
cana-1311	275	51	precision	precision	NOUN
cana-1311	275	52	and	and	CCONJ
cana-1311	275	53	recall	recall	PROPN
cana-1311	275	54	balance	balance	NOUN
cana-1311	275	55	.	.	PUNCT
cana-1311	276	1	additionally	additionally	ADV
cana-1311	276	2	,	,	PUNCT
cana-1311	276	3	it	it	PRON
cana-1311	276	4	has	have	VERB
cana-1311	276	5	a	a	DET
cana-1311	276	6	commendable	commendable	ADJ
cana-1311	276	7	auc	auc	NOUN
cana-1311	276	8	of	of	ADP
cana-1311	276	9	0.893	0.893	NUM
cana-1311	276	10	.	.	PUNCT
cana-1311	277	1	dtc	dtc	PROPN
cana-1311	277	2	has	have	VERB
cana-1311	277	3	the	the	DET
cana-1311	277	4	least	least	ADJ
cana-1311	277	5	performance	performance	NOUN
cana-1311	277	6	among	among	ADP
cana-1311	277	7	the	the	DET
cana-1311	277	8	three	three	NUM
cana-1311	277	9	with	with	ADP
cana-1311	277	10	an	an	DET
cana-1311	277	11	accuracy	accuracy	NOUN
cana-1311	277	12	of	of	ADP
cana-1311	277	13	87.5	87.5	NUM
cana-1311	277	14	%	%	NOUN
cana-1311	277	15	,	,	PUNCT
cana-1311	277	16	f1	f1	NOUN
cana-1311	277	17	score	score	NOUN
cana-1311	277	18	of	of	ADP
cana-1311	277	19	0.606	0.606	NUM
cana-1311	277	20	,	,	PUNCT
cana-1311	277	21	indicating	indicate	VERB
cana-1311	277	22	less	less	ADV
cana-1311	277	23	reliable	reliable	ADJ
cana-1311	277	24	balance	balance	NOUN
cana-1311	277	25	between	between	ADP
cana-1311	277	26	precision	precision	NOUN
cana-1311	277	27	and	and	CCONJ
cana-1311	277	28	recall	recall	NOUN
cana-1311	277	29	and	and	CCONJ
cana-1311	277	30	the	the	DET
cana-1311	277	31	lowest	low	ADJ
cana-1311	277	32	mcc	mcc	NOUN
cana-1311	277	33	of	of	ADP
cana-1311	277	34	0.51	0.51	NUM
cana-1311	277	35	,	,	PUNCT
cana-1311	277	36	which	which	PRON
cana-1311	277	37	suggests	suggest	VERB
cana-1311	277	38	more	more	ADJ
cana-1311	277	39	misclassifications	misclassification	NOUN
cana-1311	277	40	compared	compare	VERB
cana-1311	277	41	to	to	ADP
cana-1311	277	42	the	the	DET
cana-1311	277	43	other	other	ADJ
cana-1311	277	44	models	model	NOUN
cana-1311	277	45	.	.	PUNCT
cana-1311	278	1	auc	auc	NOUN
cana-1311	278	2	of	of	ADP
cana-1311	278	3	0.746	0.746	NUM
cana-1311	278	4	,	,	PUNCT
cana-1311	278	5	although	although	SCONJ
cana-1311	278	6	lower	low	ADJ
cana-1311	278	7	,	,	PUNCT
cana-1311	278	8	still	still	ADV
cana-1311	278	9	indicates	indicate	VERB
cana-1311	278	10	a	a	DET
cana-1311	278	11	fair	fair	ADJ
cana-1311	278	12	distinction	distinction	NOUN
cana-1311	278	13	capacity	capacity	NOUN
cana-1311	278	14	between	between	ADP
cana-1311	278	15	classes	class	NOUN
cana-1311	278	16	.	.	PUNCT
cana-1311	279	1	fig	fig	NOUN
cana-1311	279	2	.	.	PUNCT
cana-1311	280	1	10	10	NUM
cana-1311	280	2	,	,	PUNCT
cana-1311	280	3	which	which	PRON
cana-1311	280	4	plots	plot	VERB
cana-1311	280	5	the	the	DET
cana-1311	280	6	roc	roc	PROPN
cana-1311	280	7	curve	curve	NOUN
cana-1311	280	8	for	for	ADP
cana-1311	280	9	each	each	DET
cana-1311	280	10	model	model	NOUN
cana-1311	280	11	using	use	VERB
cana-1311	280	12	the	the	DET
cana-1311	280	13	one	one	NUM
cana-1311	280	14	-	-	PUNCT
cana-1311	280	15	vs	vs	ADP
cana-1311	280	16	-	-	PUNCT
cana-1311	280	17	rest	rest	NOUN
cana-1311	280	18	method	method	NOUN
cana-1311	280	19	,	,	PUNCT
cana-1311	280	20	demonstrates	demonstrate	VERB
cana-1311	280	21	their	their	PRON
cana-1311	280	22	respective	respective	ADJ
cana-1311	280	23	average	average	ADJ
cana-1311	280	24	auc	auc	NOUN
cana-1311	280	25	values	value	NOUN
cana-1311	280	26	,	,	PUNCT
cana-1311	280	27	further	far	ADV
cana-1311	280	28	emphasizing	emphasize	VERB
cana-1311	280	29	rfc	rfc	PROPN
cana-1311	280	30	's	's	PART
cana-1311	280	31	effectiveness	effectiveness	NOUN
cana-1311	280	32	in	in	ADP
cana-1311	280	33	class	class	NOUN
cana-1311	280	34	prediction	prediction	NOUN
cana-1311	280	35	in	in	ADP
cana-1311	280	36	the	the	DET
cana-1311	280	37	evaluation	evaluation	NOUN
cana-1311	280	38	metrics	metric	NOUN
cana-1311	280	39	.	.	PUNCT
cana-1311	281	1	fig	fig	NOUN
cana-1311	281	2	.	.	PUNCT
cana-1311	282	1	11	11	NUM
cana-1311	282	2	represents	represent	VERB
cana-1311	282	3	a	a	DET
cana-1311	282	4	comparison	comparison	NOUN
cana-1311	282	5	of	of	ADP
cana-1311	282	6	the	the	DET
cana-1311	282	7	classification	classification	NOUN
cana-1311	282	8	model	model	NOUN
cana-1311	282	9	based	base	VERB
cana-1311	282	10	on	on	ADP
cana-1311	282	11	their	their	PRON
cana-1311	282	12	evaluation	evaluation	NOUN
cana-1311	282	13	matrices	matrix	NOUN
cana-1311	282	14	.	.	PUNCT
cana-1311	283	1	fig	fig	NOUN
cana-1311	283	2	.	.	PUNCT
cana-1311	284	1	12	12	NUM
cana-1311	284	2	shows	show	VERB
cana-1311	284	3	the	the	DET
cana-1311	284	4	feature	feature	NOUN
cana-1311	284	5	importance	importance	NOUN
cana-1311	284	6	by	by	ADP
cana-1311	284	7	mean	mean	ADJ
cana-1311	284	8	decrease	decrease	NOUN
cana-1311	284	9	in	in	ADP
cana-1311	284	10	accuracy	accuracy	NOUN
cana-1311	284	11	plot	plot	NOUN
cana-1311	284	12	of	of	ADP
cana-1311	284	13	the	the	DET
cana-1311	284	14	best	good	ADJ
cana-1311	284	15	model	model	NOUN
cana-1311	284	16	for	for	ADP
cana-1311	284	17	forecasting	forecast	VERB
cana-1311	284	18	the	the	DET
cana-1311	284	19	aql	aql	NOUN
cana-1311	284	20	.	.	PUNCT
cana-1311	285	1	from	from	ADP
cana-1311	285	2	this	this	DET
cana-1311	285	3	plot	plot	NOUN
cana-1311	285	4	,	,	PUNCT
cana-1311	285	5	it	it	PRON
cana-1311	285	6	has	have	AUX
cana-1311	285	7	been	be	AUX
cana-1311	285	8	found	find	VERB
cana-1311	285	9	that	that	SCONJ
cana-1311	285	10	pm10	pm10	PROPN
cana-1311	285	11	,	,	PUNCT
cana-1311	285	12	pm2.5	pm2.5	PROPN
cana-1311	285	13	and	and	CCONJ
cana-1311	285	14	nh3	nh3	NUM
cana-1311	285	15	are	be	AUX
cana-1311	285	16	the	the	DET
cana-1311	285	17	key	key	ADJ
cana-1311	285	18	factors	factor	NOUN
cana-1311	285	19	that	that	PRON
cana-1311	285	20	contribute	contribute	VERB
cana-1311	285	21	in	in	ADP
cana-1311	285	22	classifying	classify	VERB
cana-1311	285	23	the	the	DET
cana-1311	285	24	aqi	aqi	PROPN
cana-1311	285	25	levels	level	NOUN
cana-1311	285	26	.	.	PUNCT
cana-1311	286	1	communications	communication	NOUN
cana-1311	286	2	on	on	ADP
cana-1311	286	3	applied	apply	VERB
cana-1311	286	4	nonlinear	nonlinear	ADJ
cana-1311	286	5	analysis	analysis	NOUN
cana-1311	286	6	issn	issn	NOUN
cana-1311	286	7	:	:	PUNCT
cana-1311	286	8	1074	1074	NUM
cana-1311	286	9	-	-	PUNCT
cana-1311	286	10	133x	133x	NUM
cana-1311	286	11	vol	vol	NOUN
cana-1311	286	12	31	31	NUM
cana-1311	286	13	no	no	NOUN
cana-1311	286	14	.	.	PUNCT
cana-1311	287	1	7s	7	NOUN
cana-1311	287	2	(	(	PUNCT
cana-1311	287	3	2024	2024	NUM
cana-1311	287	4	)	)	PUNCT
cana-1311	287	5	343	343	NUM
cana-1311	287	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	287	7	table	table	NOUN
cana-1311	287	8	5	5	NUM
cana-1311	287	9	:	:	PUNCT
cana-1311	287	10	performance	performance	NOUN
cana-1311	287	11	of	of	ADP
cana-1311	287	12	ml	ml	NOUN
cana-1311	287	13	classification	classification	NOUN
cana-1311	287	14	models	model	NOUN
cana-1311	287	15	models	model	VERB
cana-1311	287	16	model	model	NOUN
cana-1311	287	17	evaluation	evaluation	NOUN
cana-1311	287	18	acc	acc	PROPN
cana-1311	287	19	f1	f1	PROPN
cana-1311	287	20	mcc	mcc	PROPN
cana-1311	287	21	auc	auc	PROPN
cana-1311	287	22	dtc	dtc	VERB
cana-1311	287	23	0.875	0.875	NUM
cana-1311	287	24	0.606	0.606	NUM
cana-1311	287	25	0.51	0.51	NUM
cana-1311	287	26	0.746	0.746	NUM
cana-1311	287	27	rfc	rfc	NOUN
cana-1311	287	28	0.908	0.908	NUM
cana-1311	287	29	0.718	0.718	NUM
cana-1311	287	30	0.749	0.749	NUM
cana-1311	287	31	0.937	0.937	NUM
cana-1311	288	1	knnc	knnc	PROPN
cana-1311	288	2	0.897	0.897	NUM
cana-1311	288	3	0.689	0.689	NUM
cana-1311	288	4	0.754	0.754	NUM
cana-1311	288	5	0.893	0.893	NUM
cana-1311	288	6	fig	fig	NOUN
cana-1311	288	7	.	.	PUNCT
cana-1311	289	1	10	10	NUM
cana-1311	289	2	:	:	PUNCT
cana-1311	289	3	roc	roc	PROPN
cana-1311	289	4	curves	curve	NOUN
cana-1311	289	5	for	for	ADP
cana-1311	289	6	(	(	PUNCT
cana-1311	289	7	a	a	PRON
cana-1311	289	8	)	)	PUNCT
cana-1311	289	9	dtc	dtc	NOUN
cana-1311	289	10	,	,	PUNCT
cana-1311	289	11	(	(	PUNCT
cana-1311	289	12	b	b	X
cana-1311	289	13	)	)	PUNCT
cana-1311	289	14	rfc	rfc	NOUN
cana-1311	289	15	and	and	CCONJ
cana-1311	289	16	(	(	PUNCT
cana-1311	289	17	c	c	X
cana-1311	289	18	)	)	PUNCT
cana-1311	289	19	knnc	knnc	PROPN
cana-1311	289	20	(	(	PUNCT
cana-1311	289	21	a	a	NOUN
cana-1311	289	22	)	)	PUNCT
cana-1311	289	23	(	(	PUNCT
cana-1311	289	24	b	b	X
cana-1311	289	25	)	)	PUNCT
cana-1311	289	26	(	(	PUNCT
cana-1311	289	27	c	c	X
cana-1311	289	28	)	)	PUNCT
cana-1311	289	29	fig	fig	NOUN
cana-1311	289	30	.	.	PUNCT
cana-1311	290	1	11	11	NUM
cana-1311	290	2	:	:	PUNCT
cana-1311	290	3	comparison	comparison	NOUN
cana-1311	290	4	of	of	ADP
cana-1311	290	5	ml	ml	NOUN
cana-1311	290	6	classification	classification	NOUN
cana-1311	290	7	models	model	NOUN
cana-1311	290	8	0	0	NUM
cana-1311	290	9	0.1	0.1	NUM
cana-1311	290	10	0.2	0.2	NUM
cana-1311	290	11	0.3	0.3	NUM
cana-1311	290	12	0.4	0.4	NUM
cana-1311	290	13	0.5	0.5	NUM
cana-1311	290	14	0.6	0.6	NUM
cana-1311	290	15	0.7	0.7	NUM
cana-1311	290	16	0.8	0.8	NUM
cana-1311	290	17	0.9	0.9	NUM
cana-1311	290	18	1	1	NUM
cana-1311	290	19	acc	acc	PROPN
cana-1311	290	20	f1	f1	PROPN
cana-1311	290	21	mcc	mcc	PROPN
cana-1311	290	22	auc	auc	PROPN
cana-1311	290	23	p	p	X
cana-1311	290	24	e	e	PROPN
cana-1311	290	25	rf	rf	PROPN
cana-1311	290	26	o	o	PROPN
cana-1311	290	27	rm	rm	PROPN
cana-1311	290	28	an	an	PROPN
cana-1311	290	29	ce	ce	PROPN
cana-1311	290	30	(	(	PUNCT
cana-1311	290	31	%	%	NOUN
cana-1311	290	32	)	)	PUNCT
cana-1311	290	33	dtc	dtc	VERB
cana-1311	290	34	rfc	rfc	PRON
cana-1311	290	35	knnc	knnc	PROPN
cana-1311	290	36	communications	communication	NOUN
cana-1311	290	37	on	on	ADP
cana-1311	290	38	applied	apply	VERB
cana-1311	290	39	nonlinear	nonlinear	ADJ
cana-1311	290	40	analysis	analysis	NOUN
cana-1311	290	41	issn	issn	NOUN
cana-1311	290	42	:	:	PUNCT
cana-1311	290	43	1074	1074	NUM
cana-1311	290	44	-	-	PUNCT
cana-1311	290	45	133x	133x	NUM
cana-1311	290	46	vol	vol	NOUN
cana-1311	290	47	31	31	NUM
cana-1311	290	48	no	no	NOUN
cana-1311	290	49	.	.	PUNCT
cana-1311	291	1	7s	7	NOUN
cana-1311	291	2	(	(	PUNCT
cana-1311	291	3	2024	2024	NUM
cana-1311	291	4	)	)	PUNCT
cana-1311	291	5	344	344	NUM
cana-1311	291	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	291	7	fig	fig	NOUN
cana-1311	291	8	.	.	PUNCT
cana-1311	292	1	12	12	NUM
cana-1311	292	2	:	:	PUNCT
cana-1311	292	3	feature	feature	VERB
cana-1311	292	4	importance	importance	NOUN
cana-1311	292	5	for	for	ADP
cana-1311	292	6	forecasting	forecasting	NOUN
cana-1311	292	7	aqi	aqi	PROPN
cana-1311	292	8	levels	level	NOUN
cana-1311	292	9	in	in	ADP
cana-1311	292	10	rfc	rfc	PROPN
cana-1311	292	11	4.4	4.4	NUM
cana-1311	292	12	.	.	PUNCT
cana-1311	293	1	implications	implication	NOUN
cana-1311	293	2	this	this	DET
cana-1311	293	3	research	research	NOUN
cana-1311	293	4	on	on	ADP
cana-1311	293	5	predicting	predict	VERB
cana-1311	293	6	aqi	aqi	PROPN
cana-1311	293	7	and	and	CCONJ
cana-1311	293	8	aqi	aqi	ADJ
cana-1311	293	9	levels	level	NOUN
cana-1311	293	10	in	in	ADP
cana-1311	293	11	guwahati	guwahati	NOUN
cana-1311	293	12	using	use	VERB
cana-1311	293	13	ml	ml	NOUN
cana-1311	293	14	algorithms	algorithm	NOUN
cana-1311	293	15	are	be	AUX
cana-1311	293	16	profound	profound	ADJ
cana-1311	293	17	for	for	ADP
cana-1311	293	18	both	both	CCONJ
cana-1311	293	19	public	public	ADJ
cana-1311	293	20	health	health	NOUN
cana-1311	293	21	and	and	CCONJ
cana-1311	293	22	urban	urban	ADJ
cana-1311	293	23	planning	planning	NOUN
cana-1311	293	24	.	.	PUNCT
cana-1311	294	1	accurate	accurate	ADJ
cana-1311	294	2	prediction	prediction	NOUN
cana-1311	294	3	of	of	ADP
cana-1311	294	4	aqi	aqi	NOUN
cana-1311	294	5	and	and	CCONJ
cana-1311	294	6	identification	identification	NOUN
cana-1311	294	7	of	of	ADP
cana-1311	294	8	key	key	ADJ
cana-1311	294	9	contributing	contribute	VERB
cana-1311	294	10	factors	factor	NOUN
cana-1311	294	11	are	be	AUX
cana-1311	294	12	important	important	ADJ
cana-1311	294	13	in	in	ADP
cana-1311	294	14	safeguarding	safeguard	VERB
cana-1311	294	15	human	human	ADJ
cana-1311	294	16	health	health	NOUN
cana-1311	294	17	from	from	ADP
cana-1311	294	18	the	the	DET
cana-1311	294	19	effects	effect	NOUN
cana-1311	294	20	of	of	ADP
cana-1311	294	21	pollution	pollution	NOUN
cana-1311	294	22	.	.	PUNCT
cana-1311	295	1	after	after	ADP
cana-1311	295	2	analysing	analyse	VERB
cana-1311	295	3	the	the	DET
cana-1311	295	4	results	result	NOUN
cana-1311	295	5	from	from	ADP
cana-1311	295	6	regression	regression	NOUN
cana-1311	295	7	and	and	CCONJ
cana-1311	295	8	classification	classification	NOUN
cana-1311	295	9	methods	method	NOUN
cana-1311	295	10	,	,	PUNCT
cana-1311	295	11	it	it	PRON
cana-1311	295	12	has	have	AUX
cana-1311	295	13	been	be	AUX
cana-1311	295	14	observed	observe	VERB
cana-1311	295	15	that	that	SCONJ
cana-1311	295	16	knnr	knnr	NOUN
cana-1311	295	17	and	and	CCONJ
cana-1311	295	18	rfc	rfc	NOUN
cana-1311	295	19	models	model	NOUN
cana-1311	295	20	are	be	AUX
cana-1311	295	21	effective	effective	ADJ
cana-1311	295	22	in	in	ADP
cana-1311	295	23	predicting	predict	VERB
cana-1311	295	24	aqi	aqi	ADJ
cana-1311	295	25	values	value	NOUN
cana-1311	295	26	and	and	CCONJ
cana-1311	295	27	classifying	classify	VERB
cana-1311	295	28	aql	aql	NOUN
cana-1311	295	29	.	.	PUNCT
cana-1311	296	1	identifying	identify	VERB
cana-1311	296	2	pm10	pm10	PROPN
cana-1311	296	3	,	,	PUNCT
cana-1311	296	4	pm2.5	pm2.5	PROPN
cana-1311	296	5	and	and	CCONJ
cana-1311	296	6	nh3	nh3	NOUN
cana-1311	296	7	,	,	PUNCT
cana-1311	296	8	as	as	SCONJ
cana-1311	296	9	the	the	DET
cana-1311	296	10	most	most	ADV
cana-1311	296	11	pollutant	pollutant	ADJ
cana-1311	296	12	factors	factor	NOUN
cana-1311	296	13	,	,	PUNCT
cana-1311	296	14	contributing	contribute	VERB
cana-1311	296	15	to	to	ADP
cana-1311	296	16	high	high	ADJ
cana-1311	296	17	aqi	aqi	PROPN
cana-1311	296	18	allows	allow	VERB
cana-1311	296	19	the	the	DET
cana-1311	296	20	government	government	NOUN
cana-1311	296	21	and	and	CCONJ
cana-1311	296	22	policymakers	policymaker	NOUN
cana-1311	296	23	to	to	PART
cana-1311	296	24	prioritize	prioritize	VERB
cana-1311	296	25	interventions	intervention	NOUN
cana-1311	296	26	on	on	ADP
cana-1311	296	27	these	these	DET
cana-1311	296	28	pollutants	pollutant	NOUN
cana-1311	296	29	.	.	PUNCT
cana-1311	297	1	the	the	DET
cana-1311	297	2	prediction	prediction	NOUN
cana-1311	297	3	model	model	NOUN
cana-1311	297	4	for	for	ADP
cana-1311	297	5	air	air	NOUN
cana-1311	297	6	pollution	pollution	NOUN
cana-1311	297	7	support	support	NOUN
cana-1311	297	8	preventive	preventive	ADJ
cana-1311	297	9	measures	measure	NOUN
cana-1311	297	10	such	such	ADJ
cana-1311	297	11	as	as	ADP
cana-1311	297	12	warnings	warning	NOUN
cana-1311	297	13	on	on	ADP
cana-1311	297	14	high	high	ADJ
cana-1311	297	15	pollution	pollution	NOUN
cana-1311	297	16	days	day	NOUN
cana-1311	297	17	,	,	PUNCT
cana-1311	297	18	traffic	traffic	NOUN
cana-1311	297	19	control	control	NOUN
cana-1311	297	20	measures	measure	NOUN
cana-1311	297	21	and	and	CCONJ
cana-1311	297	22	use	use	NOUN
cana-1311	297	23	of	of	ADP
cana-1311	297	24	public	public	ADJ
cana-1311	297	25	transport	transport	NOUN
cana-1311	297	26	in	in	ADP
cana-1311	297	27	order	order	NOUN
cana-1311	297	28	to	to	PART
cana-1311	297	29	reduce	reduce	VERB
cana-1311	297	30	emissions	emission	NOUN
cana-1311	297	31	while	while	SCONJ
cana-1311	297	32	features	feature	VERB
cana-1311	297	33	importance	importance	NOUN
cana-1311	297	34	analysis	analysis	NOUN
cana-1311	297	35	supports	support	VERB
cana-1311	297	36	environmental	environmental	ADJ
cana-1311	297	37	policies	policy	NOUN
cana-1311	297	38	and	and	CCONJ
cana-1311	297	39	city	city	NOUN
cana-1311	297	40	planning	planning	NOUN
cana-1311	297	41	so	so	SCONJ
cana-1311	297	42	that	that	SCONJ
cana-1311	297	43	these	these	DET
cana-1311	297	44	growths	growth	NOUN
cana-1311	297	45	in	in	ADP
cana-1311	297	46	guwahati	guwahati	PROPN
cana-1311	297	47	do	do	AUX
cana-1311	297	48	not	not	PART
cana-1311	297	49	worsen	worsen	VERB
cana-1311	297	50	air	air	NOUN
cana-1311	297	51	pollution	pollution	NOUN
cana-1311	297	52	.	.	PUNCT
cana-1311	298	1	by	by	ADP
cana-1311	298	2	providing	provide	VERB
cana-1311	298	3	a	a	DET
cana-1311	298	4	robust	robust	ADJ
cana-1311	298	5	analytical	analytical	ADJ
cana-1311	298	6	framework	framework	NOUN
cana-1311	298	7	,	,	PUNCT
cana-1311	298	8	this	this	DET
cana-1311	298	9	research	research	NOUN
cana-1311	298	10	supports	support	VERB
cana-1311	298	11	the	the	DET
cana-1311	298	12	formulation	formulation	NOUN
cana-1311	298	13	of	of	ADP
cana-1311	298	14	data	data	NOUN
cana-1311	298	15	-	-	PUNCT
cana-1311	298	16	driven	drive	VERB
cana-1311	298	17	plans	plan	NOUN
cana-1311	298	18	for	for	ADP
cana-1311	298	19	enhancing	enhance	VERB
cana-1311	298	20	air	air	NOUN
cana-1311	298	21	quality	quality	NOUN
cana-1311	298	22	,	,	PUNCT
cana-1311	298	23	thereby	thereby	ADV
cana-1311	298	24	promoting	promote	VERB
cana-1311	298	25	the	the	DET
cana-1311	298	26	well	well	ADV
cana-1311	298	27	-	-	PUNCT
cana-1311	298	28	being	being	NOUN
cana-1311	298	29	of	of	ADP
cana-1311	298	30	the	the	DET
cana-1311	298	31	city	city	NOUN
cana-1311	298	32	's	's	PART
cana-1311	298	33	residents	resident	NOUN
cana-1311	298	34	.	.	PUNCT
cana-1311	299	1	5	5	X
cana-1311	299	2	.	.	X
cana-1311	299	3	conclusion	conclusion	NOUN
cana-1311	299	4	and	and	CCONJ
cana-1311	299	5	future	future	ADJ
cana-1311	299	6	work	work	NOUN
cana-1311	299	7	this	this	DET
cana-1311	299	8	study	study	NOUN
cana-1311	299	9	has	have	AUX
cana-1311	299	10	demonstrated	demonstrate	VERB
cana-1311	299	11	a	a	DET
cana-1311	299	12	comparison	comparison	NOUN
cana-1311	299	13	of	of	ADP
cana-1311	299	14	ml	ml	ADP
cana-1311	299	15	algorithms	algorithm	NOUN
cana-1311	299	16	like	like	ADP
cana-1311	299	17	rf	rf	NOUN
cana-1311	299	18	,	,	PUNCT
cana-1311	299	19	knn	knn	PROPN
cana-1311	299	20	and	and	CCONJ
cana-1311	299	21	dt	dt	X
cana-1311	299	22	for	for	ADP
cana-1311	299	23	predicting	predict	VERB
cana-1311	299	24	the	the	DET
cana-1311	299	25	aqi	aqi	NOUN
cana-1311	299	26	and	and	CCONJ
cana-1311	299	27	aql	aql	NOUN
cana-1311	299	28	for	for	ADP
cana-1311	299	29	regression	regression	NOUN
cana-1311	299	30	and	and	CCONJ
cana-1311	299	31	classification	classification	NOUN
cana-1311	299	32	in	in	ADP
cana-1311	299	33	guwahati	guwahati	NOUN
cana-1311	299	34	during	during	ADP
cana-1311	299	35	the	the	DET
cana-1311	299	36	year	year	NOUN
cana-1311	299	37	2015	2015	NUM
cana-1311	299	38	to	to	ADP
cana-1311	299	39	2020	2020	NUM
cana-1311	299	40	.	.	PUNCT
cana-1311	300	1	among	among	ADP
cana-1311	300	2	the	the	DET
cana-1311	300	3	regression	regression	NOUN
cana-1311	300	4	models	model	NOUN
cana-1311	300	5	,	,	PUNCT
cana-1311	300	6	knnr	knnr	NOUN
cana-1311	300	7	outperformed	outperform	VERB
cana-1311	300	8	rf	rf	NOUN
cana-1311	300	9	and	and	CCONJ
cana-1311	300	10	dt	dt	X
cana-1311	300	11	with	with	ADP
cana-1311	300	12	r²	r²	VERB
cana-1311	300	13	equal	equal	ADJ
cana-1311	300	14	to	to	ADP
cana-1311	300	15	0.812	0.812	NUM
cana-1311	300	16	,	,	PUNCT
cana-1311	300	17	rmse	rmse	NOUN
cana-1311	300	18	of	of	ADP
cana-1311	300	19	0.217	0.217	NUM
cana-1311	300	20	and	and	CCONJ
cana-1311	300	21	mae	mae	PROPN
cana-1311	300	22	of	of	ADP
cana-1311	300	23	0.151	0.151	NUM
cana-1311	300	24	.	.	PUNCT
cana-1311	301	1	for	for	ADP
cana-1311	301	2	classification	classification	NOUN
cana-1311	301	3	,	,	PUNCT
cana-1311	301	4	rfc	rfc	PROPN
cana-1311	301	5	has	have	VERB
cana-1311	301	6	the	the	DET
cana-1311	301	7	highest	high	ADJ
cana-1311	301	8	accuracy	accuracy	NOUN
cana-1311	301	9	of	of	ADP
cana-1311	301	10	90.8	90.8	NUM
cana-1311	301	11	%	%	NOUN
cana-1311	301	12	,	,	PUNCT
cana-1311	301	13	f1	f1	NOUN
cana-1311	301	14	score	score	NOUN
cana-1311	301	15	of	of	ADP
cana-1311	301	16	0.718	0.718	NUM
cana-1311	301	17	,	,	PUNCT
cana-1311	301	18	mcc	mcc	NOUN
cana-1311	301	19	of	of	ADP
cana-1311	301	20	0.749	0.749	NUM
cana-1311	301	21	and	and	CCONJ
cana-1311	301	22	auc	auc	NOUN
cana-1311	301	23	of	of	ADP
cana-1311	301	24	0.937	0.937	NUM
cana-1311	301	25	.	.	PUNCT
cana-1311	302	1	the	the	DET
cana-1311	302	2	results	result	NOUN
cana-1311	302	3	of	of	ADP
cana-1311	302	4	feature	feature	NOUN
cana-1311	302	5	importance	importance	NOUN
cana-1311	302	6	revealed	reveal	VERB
cana-1311	302	7	that	that	SCONJ
cana-1311	302	8	pm10	pm10	PROPN
cana-1311	302	9	,	,	PUNCT
cana-1311	302	10	pm2.5	pm2.5	PROPN
cana-1311	302	11	and	and	CCONJ
cana-1311	302	12	nh3	nh3	NUM
cana-1311	302	13	are	be	AUX
cana-1311	302	14	the	the	DET
cana-1311	302	15	three	three	NUM
cana-1311	302	16	most	most	ADV
cana-1311	302	17	critical	critical	ADJ
cana-1311	302	18	pollutants	pollutant	NOUN
cana-1311	302	19	influencing	influence	VERB
cana-1311	302	20	aqi	aqi	ADJ
cana-1311	302	21	and	and	CCONJ
cana-1311	302	22	aqi	aqi	PROPN
cana-1311	302	23	levels	level	NOUN
cana-1311	302	24	.	.	PUNCT
cana-1311	303	1	the	the	DET
cana-1311	303	2	insights	insight	NOUN
cana-1311	303	3	provided	provide	VERB
cana-1311	303	4	by	by	ADP
cana-1311	303	5	this	this	DET
cana-1311	303	6	research	research	NOUN
cana-1311	303	7	can	can	AUX
cana-1311	303	8	inform	inform	VERB
cana-1311	303	9	government	government	NOUN
cana-1311	303	10	policies	policy	NOUN
cana-1311	303	11	and	and	CCONJ
cana-1311	303	12	regulatory	regulatory	ADJ
cana-1311	303	13	frameworks	framework	NOUN
cana-1311	303	14	aimed	aim	VERB
cana-1311	303	15	at	at	ADP
cana-1311	303	16	reducing	reduce	VERB
cana-1311	303	17	pollution	pollution	NOUN
cana-1311	303	18	levels	level	NOUN
cana-1311	303	19	and	and	CCONJ
cana-1311	303	20	protecting	protect	VERB
cana-1311	303	21	public	public	ADJ
cana-1311	303	22	health	health	NOUN
cana-1311	303	23	.	.	PUNCT
cana-1311	304	1	overall	overall	ADV
cana-1311	304	2	,	,	PUNCT
cana-1311	304	3	this	this	DET
cana-1311	304	4	study	study	NOUN
cana-1311	304	5	reveals	reveal	VERB
cana-1311	304	6	the	the	DET
cana-1311	304	7	capability	capability	NOUN
cana-1311	304	8	of	of	ADP
cana-1311	304	9	ml	ml	NOUN
cana-1311	304	10	technique	technique	NOUN
cana-1311	304	11	in	in	ADP
cana-1311	304	12	improving	improve	VERB
cana-1311	304	13	air	air	NOUN
cana-1311	304	14	quality	quality	NOUN
cana-1311	304	15	management	management	NOUN
cana-1311	304	16	and	and	CCONJ
cana-1311	304	17	underscores	underscore	VERB
cana-1311	304	18	importance	importance	NOUN
cana-1311	304	19	of	of	ADP
cana-1311	304	20	continuous	continuous	ADJ
cana-1311	304	21	monitoring	monitoring	NOUN
cana-1311	304	22	and	and	CCONJ
cana-1311	304	23	adaptation	adaptation	NOUN
cana-1311	304	24	of	of	ADP
cana-1311	304	25	predictive	predictive	ADJ
cana-1311	304	26	models	model	NOUN
cana-1311	304	27	to	to	PART
cana-1311	304	28	reflect	reflect	VERB
cana-1311	304	29	changing	change	VERB
cana-1311	304	30	environmental	environmental	ADJ
cana-1311	304	31	conditions	condition	NOUN
cana-1311	304	32	.	.	PUNCT
cana-1311	305	1	thus	thus	ADV
cana-1311	305	2	,	,	PUNCT
cana-1311	305	3	as	as	ADP
cana-1311	305	4	for	for	ADP
cana-1311	305	5	the	the	DET
cana-1311	305	6	future	future	ADJ
cana-1311	305	7	research	research	NOUN
cana-1311	305	8	,	,	PUNCT
cana-1311	305	9	this	this	DET
cana-1311	305	10	study	study	NOUN
cana-1311	305	11	can	can	AUX
cana-1311	305	12	be	be	AUX
cana-1311	305	13	carried	carry	VERB
cana-1311	305	14	on	on	ADP
cana-1311	305	15	to	to	ADP
cana-1311	305	16	the	the	DET
cana-1311	305	17	higher	high	ADJ
cana-1311	305	18	level	level	NOUN
cana-1311	305	19	by	by	ADP
cana-1311	305	20	applying	apply	VERB
cana-1311	305	21	other	other	ADJ
cana-1311	305	22	ml	ml	NOUN
cana-1311	305	23	techniques	technique	NOUN
cana-1311	305	24	such	such	ADJ
cana-1311	305	25	as	as	ADP
cana-1311	305	26	svm	svm	PROPN
cana-1311	305	27	(	(	PUNCT
cana-1311	305	28	support	support	NOUN
cana-1311	305	29	vector	vector	NOUN
cana-1311	305	30	machines	machine	NOUN
cana-1311	305	31	)	)	PUNCT
cana-1311	305	32	,	,	PUNCT
cana-1311	305	33	ann	ann	PROPN
cana-1311	305	34	(	(	PUNCT
cana-1311	305	35	artificial	artificial	ADJ
cana-1311	305	36	neural	neural	ADJ
cana-1311	305	37	network	network	NOUN
cana-1311	305	38	)	)	PUNCT
cana-1311	305	39	and	and	CCONJ
cana-1311	305	40	gbm	gbm	PROPN
cana-1311	305	41	(	(	PUNCT
cana-1311	305	42	gradient	gradient	ADJ
cana-1311	305	43	boosting	boost	VERB
cana-1311	305	44	machines	machine	NOUN
cana-1311	305	45	)	)	PUNCT
cana-1311	305	46	to	to	PART
cana-1311	305	47	improve	improve	VERB
cana-1311	305	48	predictive	predictive	ADJ
cana-1311	305	49	capability	capability	NOUN
cana-1311	305	50	of	of	ADP
cana-1311	305	51	aqi	aqi	PROPN
cana-1311	305	52	and	and	CCONJ
cana-1311	305	53	aql	aql	PROPN
cana-1311	305	54	.	.	PUNCT
cana-1311	306	1	moreover	moreover	ADV
cana-1311	306	2	,	,	PUNCT
cana-1311	306	3	there	there	PRON
cana-1311	306	4	is	be	VERB
cana-1311	306	5	a	a	DET
cana-1311	306	6	possibility	possibility	NOUN
cana-1311	306	7	to	to	PART
cana-1311	306	8	increase	increase	VERB
cana-1311	306	9	the	the	DET
cana-1311	306	10	predictive	predictive	ADJ
cana-1311	306	11	accuracy	accuracy	NOUN
cana-1311	306	12	by	by	ADP
cana-1311	306	13	utilising	utilise	VERB
cana-1311	306	14	replication	replication	NOUN
cana-1311	306	15	techniques	technique	NOUN
cana-1311	306	16	including	include	VERB
cana-1311	306	17	stacking	stacking	NOUN
cana-1311	306	18	,	,	PUNCT
cana-1311	306	19	bagging	bagging	NOUN
cana-1311	306	20	and	and	CCONJ
cana-1311	306	21	boosting	boost	VERB
cana-1311	306	22	.	.	PUNCT
cana-1311	307	1	further	far	ADV
cana-1311	307	2	,	,	PUNCT
cana-1311	307	3	the	the	DET
cana-1311	307	4	integration	integration	NOUN
cana-1311	307	5	of	of	ADP
cana-1311	307	6	meteorological	meteorological	ADJ
cana-1311	307	7	data	datum	NOUN
cana-1311	307	8	like	like	ADP
cana-1311	307	9	wind	wind	NOUN
cana-1311	307	10	speed	speed	NOUN
cana-1311	307	11	,	,	PUNCT
cana-1311	307	12	communications	communication	NOUN
cana-1311	307	13	on	on	ADP
cana-1311	307	14	applied	apply	VERB
cana-1311	307	15	nonlinear	nonlinear	ADJ
cana-1311	307	16	analysis	analysis	NOUN
cana-1311	307	17	issn	issn	NOUN
cana-1311	307	18	:	:	PUNCT
cana-1311	307	19	1074	1074	NUM
cana-1311	307	20	-	-	PUNCT
cana-1311	307	21	133x	133x	NUM
cana-1311	307	22	vol	vol	NOUN
cana-1311	307	23	31	31	NUM
cana-1311	307	24	no	no	NOUN
cana-1311	307	25	.	.	PUNCT
cana-1311	308	1	7s	7	NOUN
cana-1311	308	2	(	(	PUNCT
cana-1311	308	3	2024	2024	NUM
cana-1311	308	4	)	)	PUNCT
cana-1311	308	5	345	345	NUM
cana-1311	308	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	308	7	humidity	humidity	NOUN
cana-1311	308	8	and	and	CCONJ
cana-1311	308	9	temperature	temperature	NOUN
cana-1311	308	10	will	will	AUX
cana-1311	308	11	enhance	enhance	VERB
cana-1311	308	12	consideration	consideration	NOUN
cana-1311	308	13	of	of	ADP
cana-1311	308	14	many	many	ADJ
cana-1311	308	15	more	more	ADJ
cana-1311	308	16	influences	influence	NOUN
cana-1311	308	17	on	on	ADP
cana-1311	308	18	the	the	DET
cana-1311	308	19	air	air	NOUN
cana-1311	308	20	quality	quality	NOUN
cana-1311	308	21	and	and	CCONJ
cana-1311	308	22	improve	improve	VERB
cana-1311	308	23	prediction	prediction	NOUN
cana-1311	308	24	model	model	NOUN
cana-1311	308	25	.	.	PUNCT
cana-1311	309	1	communications	communication	NOUN
cana-1311	309	2	on	on	ADP
cana-1311	309	3	applied	apply	VERB
cana-1311	309	4	nonlinear	nonlinear	ADJ
cana-1311	309	5	analysis	analysis	NOUN
cana-1311	309	6	issn	issn	NOUN
cana-1311	309	7	:	:	PUNCT
cana-1311	309	8	1074	1074	NUM
cana-1311	309	9	-	-	PUNCT
cana-1311	309	10	133x	133x	NUM
cana-1311	309	11	vol	vol	NOUN
cana-1311	309	12	31	31	NUM
cana-1311	309	13	no	no	NOUN
cana-1311	309	14	.	.	PUNCT
cana-1311	310	1	7s	7	NOUN
cana-1311	310	2	(	(	PUNCT
cana-1311	310	3	2024	2024	NUM
cana-1311	310	4	)	)	PUNCT
cana-1311	310	5	346	346	NUM
cana-1311	310	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	310	7	references	reference	NOUN
cana-1311	310	8	[	[	X
cana-1311	310	9	1	1	NUM
cana-1311	310	10	]	]	X
cana-1311	310	11	ahmadi	ahmadi	PROPN
cana-1311	310	12	,	,	PUNCT
cana-1311	310	13	k.	k.	PROPN
cana-1311	310	14	,	,	PUNCT
cana-1311	310	15	kalantar	kalantar	PROPN
cana-1311	310	16	,	,	PUNCT
cana-1311	310	17	b.	b.	PROPN
cana-1311	310	18	,	,	PUNCT
cana-1311	310	19	saeidi	saeidi	PROPN
cana-1311	310	20	,	,	PUNCT
cana-1311	310	21	v.	v.	ADV
cana-1311	310	22	,	,	PUNCT
cana-1311	310	23	harandi	harandi	X
cana-1311	310	24	,	,	PUNCT
cana-1311	310	25	e.	e.	PROPN
cana-1311	310	26	k.	k.	PROPN
cana-1311	310	27	g.	g.	PROPN
cana-1311	310	28	,	,	PUNCT
cana-1311	310	29	janizadeh	janizadeh	PROPN
cana-1311	310	30	,	,	PUNCT
cana-1311	310	31	s.	s.	PROPN
cana-1311	310	32	,	,	PUNCT
cana-1311	310	33	&	&	CCONJ
cana-1311	310	34	ueda	ueda	PROPN
cana-1311	310	35	,	,	PUNCT
cana-1311	310	36	n.	n.	PROPN
cana-1311	310	37	(	(	PUNCT
cana-1311	310	38	2020	2020	NUM
cana-1311	310	39	)	)	PUNCT
cana-1311	310	40	.	.	PUNCT
cana-1311	311	1	comparison	comparison	NOUN
cana-1311	311	2	of	of	ADP
cana-1311	311	3	machine	machine	NOUN
cana-1311	311	4	learning	learning	NOUN
cana-1311	311	5	methods	method	NOUN
cana-1311	311	6	for	for	ADP
cana-1311	311	7	mapping	map	VERB
cana-1311	311	8	the	the	DET
cana-1311	311	9	stand	stand	NOUN
cana-1311	311	10	characteristics	characteristic	NOUN
cana-1311	311	11	of	of	ADP
cana-1311	311	12	temperate	temperate	ADJ
cana-1311	311	13	forests	forest	NOUN
cana-1311	311	14	using	use	VERB
cana-1311	311	15	multi	multi	ADJ
cana-1311	311	16	-	-	ADJ
cana-1311	311	17	spectral	spectral	ADJ
cana-1311	311	18	sentinel-2	sentinel-2	ADJ
cana-1311	311	19	data	datum	NOUN
cana-1311	311	20	.	.	PUNCT
cana-1311	312	1	remote	remote	ADJ
cana-1311	312	2	sensing	sensing	NOUN
cana-1311	312	3	,	,	PUNCT
cana-1311	312	4	12(18	12(18	NUM
cana-1311	312	5	)	)	PUNCT
cana-1311	312	6	,	,	PUNCT
cana-1311	312	7	3019	3019	NUM
cana-1311	312	8	.	.	PUNCT
cana-1311	313	1	https://doi.org/10.3390/rs12183019	https://doi.org/10.3390/rs12183019	X
cana-1311	314	1	[	[	X
cana-1311	314	2	2	2	NUM
cana-1311	314	3	]	]	PUNCT
cana-1311	314	4	air	air	NOUN
cana-1311	314	5	quality	quality	NOUN
cana-1311	314	6	data	datum	NOUN
cana-1311	314	7	in	in	ADP
cana-1311	314	8	india	india	PROPN
cana-1311	314	9	(	(	PUNCT
cana-1311	314	10	2015—2020	2015—2020	NUM
cana-1311	314	11	)	)	PUNCT
cana-1311	314	12	.	.	PUNCT
cana-1311	315	1	(	(	PUNCT
cana-1311	315	2	n.d	n.d	PROPN
cana-1311	315	3	.	.	PROPN
cana-1311	315	4	)	)	PUNCT
cana-1311	315	5	.	.	PUNCT
cana-1311	316	1	retrieved	retrieve	VERB
cana-1311	316	2	may	may	AUX
cana-1311	316	3	24	24	NUM
cana-1311	316	4	,	,	PUNCT
cana-1311	316	5	2024	2024	NUM
cana-1311	316	6	,	,	PUNCT
cana-1311	316	7	from	from	ADP
cana-1311	316	8	https://www.kaggle.com/datasets/rohanrao/air-quality-data-in-india/data	https://www.kaggle.com/datasets/rohanrao/air-quality-data-in-india/data	PROPN
cana-1311	316	9	[	[	X
cana-1311	316	10	3	3	NUM
cana-1311	316	11	]	]	PUNCT
cana-1311	316	12	akinfolarin	akinfolarin	NOUN
cana-1311	316	13	,	,	PUNCT
cana-1311	316	14	o.	o.	NOUN
cana-1311	316	15	m.	m.	NOUN
cana-1311	316	16	,	,	PUNCT
cana-1311	316	17	boisa	boisa	NOUN
cana-1311	316	18	,	,	PUNCT
cana-1311	316	19	n.	n.	NOUN
cana-1311	316	20	,	,	PUNCT
cana-1311	316	21	&	&	CCONJ
cana-1311	316	22	obunwo	obunwo	PROPN
cana-1311	316	23	,	,	PUNCT
cana-1311	316	24	c.	c.	PROPN
cana-1311	316	25	c.	c.	PROPN
cana-1311	316	26	(	(	PUNCT
cana-1311	316	27	2017	2017	NUM
cana-1311	316	28	)	)	PUNCT
cana-1311	316	29	.	.	PUNCT
cana-1311	317	1	assessment	assessment	NOUN
cana-1311	317	2	of	of	ADP
cana-1311	317	3	particulate	particulate	NOUN
cana-1311	317	4	matter	matter	NOUN
cana-1311	317	5	-	-	PUNCT
cana-1311	317	6	based	base	VERB
cana-1311	317	7	air	air	NOUN
cana-1311	317	8	quality	quality	NOUN
cana-1311	317	9	index	index	NOUN
cana-1311	317	10	in	in	ADP
cana-1311	317	11	port	port	NOUN
cana-1311	317	12	harcourt	harcourt	PROPN
cana-1311	317	13	,	,	PUNCT
cana-1311	317	14	nigeria	nigeria	PROPN
cana-1311	317	15	.	.	PUNCT
cana-1311	318	1	journal	journal	PROPN
cana-1311	318	2	of	of	ADP
cana-1311	318	3	environmental	environmental	ADJ
cana-1311	318	4	analytical	analytical	ADJ
cana-1311	318	5	chemistry	chemistry	NOUN
cana-1311	318	6	,	,	PUNCT
cana-1311	318	7	04(04	04(04	NOUN
cana-1311	318	8	)	)	PUNCT
cana-1311	318	9	.	.	PUNCT
cana-1311	319	1	https://doi.org/10.4172/23802391.1000224	https://doi.org/10.4172/23802391.1000224	X
cana-1311	320	1	[	[	X
cana-1311	320	2	4	4	NUM
cana-1311	320	3	]	]	X
cana-1311	320	4	ameer	ameer	PROPN
cana-1311	320	5	,	,	PUNCT
cana-1311	320	6	s.	s.	PROPN
cana-1311	320	7	,	,	PUNCT
cana-1311	320	8	shah	shah	NOUN
cana-1311	320	9	,	,	PUNCT
cana-1311	320	10	m.	m.	NOUN
cana-1311	320	11	a.	a.	PROPN
cana-1311	320	12	,	,	PUNCT
cana-1311	320	13	khan	khan	PROPN
cana-1311	320	14	,	,	PUNCT
cana-1311	320	15	a.	a.	NOUN
cana-1311	320	16	,	,	PUNCT
cana-1311	320	17	song	song	NOUN
cana-1311	320	18	,	,	PUNCT
cana-1311	320	19	h.	h.	PROPN
cana-1311	320	20	,	,	PUNCT
cana-1311	320	21	maple	maple	PROPN
cana-1311	320	22	,	,	PUNCT
cana-1311	320	23	c.	c.	PROPN
cana-1311	320	24	,	,	PUNCT
cana-1311	320	25	islam	islam	PROPN
cana-1311	320	26	,	,	PUNCT
cana-1311	320	27	s.	s.	PROPN
cana-1311	320	28	u.	u.	PROPN
cana-1311	320	29	,	,	PUNCT
cana-1311	320	30	&	&	CCONJ
cana-1311	320	31	asghar	asghar	PROPN
cana-1311	320	32	,	,	PUNCT
cana-1311	320	33	m.	m.	NOUN
cana-1311	320	34	n.	n.	PROPN
cana-1311	320	35	(	(	PUNCT
cana-1311	320	36	2019	2019	NUM
cana-1311	320	37	)	)	PUNCT
cana-1311	320	38	.	.	PUNCT
cana-1311	321	1	comparative	comparative	ADJ
cana-1311	321	2	analysis	analysis	NOUN
cana-1311	321	3	of	of	ADP
cana-1311	321	4	machine	machine	NOUN
cana-1311	321	5	learning	learn	VERB
cana-1311	321	6	techniques	technique	NOUN
cana-1311	321	7	for	for	ADP
cana-1311	321	8	predicting	predict	VERB
cana-1311	321	9	air	air	NOUN
cana-1311	321	10	quality	quality	NOUN
cana-1311	321	11	in	in	ADP
cana-1311	321	12	smart	smart	ADJ
cana-1311	321	13	cities	city	NOUN
cana-1311	321	14	.	.	PUNCT
cana-1311	322	1	ieee	ieee	NOUN
cana-1311	322	2	access	access	NOUN
cana-1311	322	3	,	,	PUNCT
cana-1311	322	4	7	7	NUM
cana-1311	322	5	,	,	PUNCT
cana-1311	322	6	128325	128325	NUM
cana-1311	322	7	–	–	PUNCT
cana-1311	322	8	128338	128338	NUM
cana-1311	322	9	.	.	PUNCT
cana-1311	323	1	https://doi.org/10.1109/access.2019.2925082	https://doi.org/10.1109/access.2019.2925082	PROPN
cana-1311	323	2	[	[	X
cana-1311	323	3	5	5	NUM
cana-1311	323	4	]	]	X
cana-1311	323	5	balakrishnan	balakrishnan	PROPN
cana-1311	323	6	,	,	PUNCT
cana-1311	323	7	k.	k.	PROPN
cana-1311	323	8	,	,	PUNCT
cana-1311	323	9	dey	dey	PROPN
cana-1311	323	10	,	,	PUNCT
cana-1311	323	11	s.	s.	PROPN
cana-1311	323	12	,	,	PUNCT
cana-1311	323	13	gupta	gupta	PROPN
cana-1311	323	14	,	,	PUNCT
cana-1311	323	15	t.	t.	PROPN
cana-1311	323	16	,	,	PUNCT
cana-1311	323	17	dhaliwal	dhaliwal	PROPN
cana-1311	323	18	,	,	PUNCT
cana-1311	323	19	r.	r.	PROPN
cana-1311	323	20	s.	s.	PROPN
cana-1311	323	21	,	,	PUNCT
cana-1311	323	22	brauer	brauer	PROPN
cana-1311	323	23	,	,	PUNCT
cana-1311	323	24	m.	m.	NOUN
cana-1311	323	25	,	,	PUNCT
cana-1311	323	26	cohen	cohen	PROPN
cana-1311	323	27	,	,	PUNCT
cana-1311	323	28	a.	a.	PROPN
cana-1311	323	29	j.	j.	PROPN
cana-1311	323	30	,	,	PUNCT
cana-1311	323	31	stanaway	stanaway	PROPN
cana-1311	323	32	,	,	PUNCT
cana-1311	323	33	j.	j.	PROPN
cana-1311	323	34	d.	d.	PROPN
cana-1311	323	35	,	,	PUNCT
cana-1311	323	36	beig	beig	PROPN
cana-1311	323	37	,	,	PUNCT
cana-1311	323	38	g.	g.	PROPN
cana-1311	323	39	,	,	PUNCT
cana-1311	323	40	joshi	joshi	PROPN
cana-1311	323	41	,	,	PUNCT
cana-1311	323	42	t.	t.	PROPN
cana-1311	323	43	k.	k.	PROPN
cana-1311	323	44	,	,	PUNCT
cana-1311	323	45	aggarwal	aggarwal	PROPN
cana-1311	323	46	,	,	PUNCT
cana-1311	323	47	a.	a.	NOUN
cana-1311	323	48	n.	n.	NOUN
cana-1311	323	49	,	,	PUNCT
cana-1311	323	50	sabde	sabde	PROPN
cana-1311	323	51	,	,	PUNCT
cana-1311	323	52	y.	y.	NOUN
cana-1311	323	53	,	,	PUNCT
cana-1311	323	54	sadhu	sadhu	PROPN
cana-1311	323	55	,	,	PUNCT
cana-1311	323	56	h.	h.	PROPN
cana-1311	323	57	,	,	PUNCT
cana-1311	323	58	frostad	frostad	PROPN
cana-1311	323	59	,	,	PUNCT
cana-1311	323	60	j.	j.	PROPN
cana-1311	323	61	,	,	PUNCT
cana-1311	323	62	causey	causey	PROPN
cana-1311	323	63	,	,	PUNCT
cana-1311	323	64	k.	k.	PROPN
cana-1311	323	65	,	,	PUNCT
cana-1311	323	66	godwin	godwin	PROPN
cana-1311	323	67	,	,	PUNCT
cana-1311	323	68	w.	w.	PROPN
cana-1311	323	69	,	,	PUNCT
cana-1311	323	70	shukla	shukla	PROPN
cana-1311	323	71	,	,	PUNCT
cana-1311	323	72	d.	d.	PROPN
cana-1311	323	73	k.	k.	PROPN
cana-1311	323	74	,	,	PUNCT
cana-1311	323	75	kumar	kumar	PROPN
cana-1311	323	76	,	,	PUNCT
cana-1311	323	77	g.	g.	PROPN
cana-1311	323	78	a.	a.	PROPN
cana-1311	323	79	,	,	PUNCT
cana-1311	323	80	varghese	varghese	PROPN
cana-1311	323	81	,	,	PUNCT
cana-1311	323	82	c.	c.	PROPN
cana-1311	323	83	m.	m.	NOUN
cana-1311	323	84	,	,	PUNCT
cana-1311	323	85	muraleedharan	muraleedharan	ADJ
cana-1311	323	86	,	,	PUNCT
cana-1311	323	87	p.	p.	NOUN
cana-1311	323	88	,	,	PUNCT
cana-1311	323	89	…	…	PUNCT
cana-1311	323	90	dandona	dandona	NOUN
cana-1311	323	91	,	,	PUNCT
cana-1311	323	92	l.	l.	PROPN
cana-1311	323	93	(	(	PUNCT
cana-1311	323	94	2019	2019	NUM
cana-1311	323	95	)	)	PUNCT
cana-1311	323	96	.	.	PUNCT
cana-1311	324	1	the	the	DET
cana-1311	324	2	impact	impact	NOUN
cana-1311	324	3	of	of	ADP
cana-1311	324	4	air	air	NOUN
cana-1311	324	5	pollution	pollution	NOUN
cana-1311	324	6	on	on	ADP
cana-1311	324	7	deaths	death	NOUN
cana-1311	324	8	,	,	PUNCT
cana-1311	324	9	disease	disease	NOUN
cana-1311	324	10	burden	burden	NOUN
cana-1311	324	11	,	,	PUNCT
cana-1311	324	12	and	and	CCONJ
cana-1311	324	13	life	life	NOUN
cana-1311	324	14	expectancy	expectancy	NOUN
cana-1311	324	15	across	across	ADP
cana-1311	324	16	the	the	DET
cana-1311	324	17	states	state	NOUN
cana-1311	324	18	of	of	ADP
cana-1311	324	19	india	india	PROPN
cana-1311	324	20	:	:	PUNCT
cana-1311	324	21	the	the	DET
cana-1311	324	22	global	global	ADJ
cana-1311	324	23	burden	burden	NOUN
cana-1311	324	24	of	of	ADP
cana-1311	324	25	disease	disease	NOUN
cana-1311	324	26	study	study	NOUN
cana-1311	324	27	2017	2017	NUM
cana-1311	324	28	.	.	PUNCT
cana-1311	325	1	the	the	DET
cana-1311	325	2	lancet	lancet	PROPN
cana-1311	325	3	planetary	planetary	PROPN
cana-1311	325	4	health	health	NOUN
cana-1311	325	5	,	,	PUNCT
cana-1311	325	6	3(1	3(1	NUM
cana-1311	325	7	)	)	PUNCT
cana-1311	325	8	,	,	PUNCT
cana-1311	325	9	e26	e26	PROPN
cana-1311	325	10	–	–	PUNCT
cana-1311	325	11	e39	e39	NOUN
cana-1311	325	12	.	.	PUNCT
cana-1311	326	1	https://doi.org/10.1016/s2542-5196(18)30261-4	https://doi.org/10.1016/s2542-5196(18)30261-4	PROPN
cana-1311	327	1	[	[	X
cana-1311	327	2	6	6	NUM
cana-1311	327	3	]	]	X
cana-1311	327	4	bao	bao	PROPN
cana-1311	327	5	,	,	PUNCT
cana-1311	327	6	r.	r.	PROPN
cana-1311	327	7	,	,	PUNCT
cana-1311	327	8	&	&	CCONJ
cana-1311	327	9	zhang	zhang	PROPN
cana-1311	327	10	,	,	PUNCT
cana-1311	327	11	a.	a.	PROPN
cana-1311	327	12	(	(	PUNCT
cana-1311	327	13	2020	2020	NUM
cana-1311	327	14	)	)	PUNCT
cana-1311	327	15	.	.	PUNCT
cana-1311	328	1	does	do	AUX
cana-1311	328	2	lockdown	lockdown	NOUN
cana-1311	328	3	reduce	reduce	VERB
cana-1311	328	4	air	air	NOUN
cana-1311	328	5	pollution	pollution	NOUN
cana-1311	328	6	?	?	PUNCT
cana-1311	329	1	evidence	evidence	NOUN
cana-1311	329	2	from	from	ADP
cana-1311	329	3	44	44	NUM
cana-1311	329	4	cities	city	NOUN
cana-1311	329	5	in	in	ADP
cana-1311	329	6	northern	northern	ADJ
cana-1311	329	7	china	china	PROPN
cana-1311	329	8	.	.	PUNCT
cana-1311	330	1	science	science	NOUN
cana-1311	330	2	of	of	ADP
cana-1311	330	3	the	the	DET
cana-1311	330	4	total	total	ADJ
cana-1311	330	5	environment	environment	NOUN
cana-1311	330	6	,	,	PUNCT
cana-1311	330	7	731	731	NUM
cana-1311	330	8	,	,	PUNCT
cana-1311	330	9	139052	139052	NUM
cana-1311	330	10	.	.	PUNCT
cana-1311	331	1	https://doi.org/10.1016/j.scitotenv.2020.139052	https://doi.org/10.1016/j.scitotenv.2020.139052	PRON
cana-1311	332	1	[	[	X
cana-1311	332	2	7	7	NUM
cana-1311	332	3	]	]	PUNCT
cana-1311	332	4	barman	barman	NOUN
cana-1311	332	5	,	,	PUNCT
cana-1311	332	6	n.	n.	NOUN
cana-1311	332	7	,	,	PUNCT
cana-1311	332	8	&	&	CCONJ
cana-1311	332	9	gokhale	gokhale	PROPN
cana-1311	332	10	,	,	PUNCT
cana-1311	332	11	s.	s.	PROPN
cana-1311	332	12	(	(	PUNCT
cana-1311	332	13	2019	2019	NUM
cana-1311	332	14	)	)	PUNCT
cana-1311	332	15	.	.	PUNCT
cana-1311	333	1	urban	urban	ADJ
cana-1311	333	2	black	black	ADJ
cana-1311	333	3	carbon	carbon	NOUN
cana-1311	333	4	—	—	PUNCT
cana-1311	333	5	source	source	NOUN
cana-1311	333	6	apportionment	apportionment	NOUN
cana-1311	333	7	,	,	PUNCT
cana-1311	333	8	emissions	emission	NOUN
cana-1311	333	9	and	and	CCONJ
cana-1311	333	10	long	long	ADJ
cana-1311	333	11	-	-	PUNCT
cana-1311	333	12	range	range	NOUN
cana-1311	333	13	transport	transport	NOUN
cana-1311	333	14	over	over	ADP
cana-1311	333	15	the	the	DET
cana-1311	333	16	brahmaputra	brahmaputra	PROPN
cana-1311	333	17	river	river	PROPN
cana-1311	333	18	valley	valley	NOUN
cana-1311	333	19	.	.	PUNCT
cana-1311	334	1	science	science	NOUN
cana-1311	334	2	of	of	ADP
cana-1311	334	3	the	the	DET
cana-1311	334	4	total	total	ADJ
cana-1311	334	5	environment	environment	NOUN
cana-1311	334	6	,	,	PUNCT
cana-1311	334	7	693	693	NUM
cana-1311	334	8	,	,	PUNCT
cana-1311	334	9	133577	133577	NUM
cana-1311	334	10	.	.	PUNCT
cana-1311	335	1	https://doi.org/10.1016/j.scitotenv.2019.07.383	https://doi.org/10.1016/j.scitotenv.2019.07.383	NOUN
cana-1311	335	2	[	[	X
cana-1311	335	3	8	8	NUM
cana-1311	335	4	]	]	PUNCT
cana-1311	335	5	boughorbel	boughorbel	VERB
cana-1311	335	6	,	,	PUNCT
cana-1311	335	7	s.	s.	PROPN
cana-1311	335	8	,	,	PUNCT
cana-1311	335	9	jarray	jarray	PROPN
cana-1311	335	10	,	,	PUNCT
cana-1311	335	11	f.	f.	PROPN
cana-1311	335	12	,	,	PUNCT
cana-1311	335	13	&	&	CCONJ
cana-1311	335	14	el	el	PROPN
cana-1311	335	15	-	-	PUNCT
cana-1311	335	16	anbari	anbari	PROPN
cana-1311	335	17	,	,	PUNCT
cana-1311	335	18	m.	m.	NOUN
cana-1311	335	19	(	(	PUNCT
cana-1311	335	20	n.d	n.d	PROPN
cana-1311	335	21	.	.	PROPN
cana-1311	335	22	)	)	PUNCT
cana-1311	335	23	.	.	PUNCT
cana-1311	336	1	optimal	optimal	ADJ
cana-1311	336	2	classifier	classifier	NOUN
cana-1311	336	3	for	for	ADP
cana-1311	336	4	imbalanced	imbalanced	ADJ
cana-1311	336	5	data	datum	NOUN
cana-1311	336	6	using	use	VERB
cana-1311	336	7	matthews	matthews	PROPN
cana-1311	336	8	correlation	correlation	NOUN
cana-1311	336	9	coefficient	coefficient	NOUN
cana-1311	336	10	metric	metric	ADJ
cana-1311	336	11	.	.	PUNCT
cana-1311	337	1	[	[	X
cana-1311	337	2	9	9	NUM
cana-1311	337	3	]	]	PUNCT
cana-1311	337	4	breiman	breiman	NOUN
cana-1311	337	5	,	,	PUNCT
cana-1311	337	6	l.	l.	PROPN
cana-1311	337	7	(	(	PUNCT
cana-1311	337	8	2001	2001	NUM
cana-1311	337	9	)	)	PUNCT
cana-1311	337	10	.	.	PUNCT
cana-1311	338	1	random	random	ADJ
cana-1311	338	2	forests	forest	NOUN
cana-1311	338	3	.	.	PUNCT
cana-1311	339	1	machine	machine	NOUN
cana-1311	339	2	learning	learning	PROPN
cana-1311	339	3	,	,	PUNCT
cana-1311	339	4	45(1	45(1	NOUN
cana-1311	339	5	)	)	PUNCT
cana-1311	339	6	,	,	PUNCT
cana-1311	339	7	5–32	5–32	NOUN
cana-1311	339	8	.	.	PUNCT
cana-1311	340	1	https://doi.org/10.1023/a:1010933404324	https://doi.org/10.1023/a:1010933404324	ADJ
cana-1311	340	2	[	[	X
cana-1311	340	3	10	10	NUM
cana-1311	340	4	]	]	X
cana-1311	340	5	central	central	ADJ
cana-1311	340	6	pollution	pollution	NOUN
cana-1311	340	7	control	control	PROPN
cana-1311	340	8	board	board	PROPN
cana-1311	340	9	.	.	PUNCT
cana-1311	341	1	(	(	PUNCT
cana-1311	341	2	2024	2024	NUM
cana-1311	341	3	)	)	PUNCT
cana-1311	341	4	.	.	PUNCT
cana-1311	342	1	in	in	ADP
cana-1311	342	2	wikipedia	wikipedia	PROPN
cana-1311	342	3	.	.	PUNCT
cana-1311	343	1	https://en.wikipedia.org/w/index.php?title=central_pollution_control_board&oldid=1225414990	https://en.wikipedia.org/w/index.php?title=central_pollution_control_board&oldid=1225414990	X
cana-1311	344	1	[	[	X
cana-1311	344	2	11	11	NUM
cana-1311	344	3	]	]	PUNCT
cana-1311	344	4	cutler	cutler	NOUN
cana-1311	344	5	,	,	PUNCT
cana-1311	344	6	d.	d.	PROPN
cana-1311	344	7	r.	r.	PROPN
cana-1311	344	8	,	,	PUNCT
cana-1311	344	9	edwards	edwards	PROPN
cana-1311	344	10	,	,	PUNCT
cana-1311	344	11	t.	t.	PROPN
cana-1311	344	12	c.	c.	PROPN
cana-1311	344	13	,	,	PUNCT
cana-1311	344	14	beard	beard	PROPN
cana-1311	344	15	,	,	PUNCT
cana-1311	344	16	k.	k.	PROPN
cana-1311	344	17	h.	h.	PROPN
cana-1311	344	18	,	,	PUNCT
cana-1311	344	19	cutler	cutler	NOUN
cana-1311	344	20	,	,	PUNCT
cana-1311	344	21	a.	a.	NOUN
cana-1311	344	22	,	,	PUNCT
cana-1311	344	23	hess	hess	PROPN
cana-1311	344	24	,	,	PUNCT
cana-1311	344	25	k.	k.	PROPN
cana-1311	344	26	t.	t.	PROPN
cana-1311	344	27	,	,	PUNCT
cana-1311	344	28	gibson	gibson	PROPN
cana-1311	344	29	,	,	PUNCT
cana-1311	344	30	j.	j.	PROPN
cana-1311	344	31	,	,	PUNCT
cana-1311	344	32	&	&	CCONJ
cana-1311	344	33	lawler	lawler	PROPN
cana-1311	344	34	,	,	PUNCT
cana-1311	344	35	j.	j.	PROPN
cana-1311	344	36	j.	j.	PROPN
cana-1311	344	37	(	(	PUNCT
cana-1311	344	38	2007	2007	NUM
cana-1311	344	39	)	)	PUNCT
cana-1311	344	40	.	.	PUNCT
cana-1311	345	1	random	random	ADJ
cana-1311	345	2	forests	forest	NOUN
cana-1311	345	3	for	for	ADP
cana-1311	345	4	classification	classification	NOUN
cana-1311	345	5	in	in	ADP
cana-1311	345	6	ecology	ecology	NOUN
cana-1311	345	7	.	.	PUNCT
cana-1311	346	1	ecology	ecology	NOUN
cana-1311	346	2	,	,	PUNCT
cana-1311	346	3	88(11	88(11	NUM
cana-1311	346	4	)	)	PUNCT
cana-1311	346	5	,	,	PUNCT
cana-1311	346	6	2783–2792	2783–2792	NUM
cana-1311	346	7	.	.	PUNCT
cana-1311	347	1	https://doi.org/10.1890/07-0539.1	https://doi.org/10.1890/07-0539.1	X
cana-1311	348	1	[	[	X
cana-1311	348	2	12	12	NUM
cana-1311	348	3	]	]	PUNCT
cana-1311	348	4	danades	danade	NOUN
cana-1311	348	5	,	,	PUNCT
cana-1311	348	6	a.	a.	NOUN
cana-1311	348	7	,	,	PUNCT
cana-1311	348	8	pratama	pratama	NOUN
cana-1311	348	9	,	,	PUNCT
cana-1311	348	10	d.	d.	PROPN
cana-1311	348	11	,	,	PUNCT
cana-1311	348	12	anggraini	anggraini	NOUN
cana-1311	348	13	,	,	PUNCT
cana-1311	348	14	d.	d.	PROPN
cana-1311	348	15	,	,	PUNCT
cana-1311	348	16	&	&	CCONJ
cana-1311	348	17	anggriani	anggriani	PROPN
cana-1311	348	18	,	,	PUNCT
cana-1311	348	19	d.	d.	PROPN
cana-1311	348	20	(	(	PUNCT
cana-1311	348	21	2016	2016	NUM
cana-1311	348	22	)	)	PUNCT
cana-1311	348	23	.	.	PUNCT
cana-1311	349	1	comparison	comparison	NOUN
cana-1311	349	2	of	of	ADP
cana-1311	349	3	accuracy	accuracy	NOUN
cana-1311	349	4	level	level	NOUN
cana-1311	349	5	k	k	NOUN
cana-1311	349	6	-	-	PUNCT
cana-1311	349	7	nearest	near	ADJ
cana-1311	349	8	neighbor	neighbor	NOUN
cana-1311	349	9	algorithm	algorithm	NOUN
cana-1311	349	10	and	and	CCONJ
cana-1311	349	11	support	support	NOUN
cana-1311	349	12	vector	vector	NOUN
cana-1311	349	13	machine	machine	NOUN
cana-1311	349	14	algorithm	algorithm	NOUN
cana-1311	349	15	in	in	ADP
cana-1311	349	16	classification	classification	NOUN
cana-1311	349	17	water	water	NOUN
cana-1311	349	18	quality	quality	NOUN
cana-1311	349	19	status	status	NOUN
cana-1311	349	20	.	.	PUNCT
cana-1311	350	1	2016	2016	NUM
cana-1311	350	2	6th	6th	ADJ
cana-1311	350	3	international	international	ADJ
cana-1311	350	4	conference	conference	NOUN
cana-1311	350	5	on	on	ADP
cana-1311	350	6	system	system	NOUN
cana-1311	350	7	engineering	engineering	NOUN
cana-1311	350	8	and	and	CCONJ
cana-1311	350	9	technology	technology	NOUN
cana-1311	350	10	(	(	PUNCT
cana-1311	350	11	icset	icset	VERB
cana-1311	350	12	)	)	PUNCT
cana-1311	350	13	,	,	PUNCT
cana-1311	350	14	137–141	137–141	NUM
cana-1311	350	15	.	.	PUNCT
cana-1311	351	1	https://doi.org/10.1109/icsengt.2016.7849638	https://doi.org/10.1109/icsengt.2016.7849638	PROPN
cana-1311	351	2	[	[	X
cana-1311	351	3	13	13	NUM
cana-1311	351	4	]	]	X
cana-1311	351	5	dutta	dutta	PROPN
cana-1311	351	6	,	,	PUNCT
cana-1311	351	7	a.	a.	PROPN
cana-1311	351	8	,	,	PUNCT
cana-1311	351	9	&	&	CCONJ
cana-1311	351	10	jinsart	jinsart	PROPN
cana-1311	351	11	,	,	PUNCT
cana-1311	351	12	w.	w.	PROPN
cana-1311	351	13	(	(	PUNCT
cana-1311	351	14	2021a	2021a	NUM
cana-1311	351	15	)	)	PUNCT
cana-1311	351	16	.	.	PUNCT
cana-1311	352	1	air	air	NOUN
cana-1311	352	2	pollution	pollution	NOUN
cana-1311	352	3	in	in	ADP
cana-1311	352	4	indian	indian	ADJ
cana-1311	352	5	cities	city	NOUN
cana-1311	352	6	and	and	CCONJ
cana-1311	352	7	comparison	comparison	NOUN
cana-1311	352	8	of	of	ADP
cana-1311	352	9	mlr	mlr	PROPN
cana-1311	352	10	,	,	PUNCT
cana-1311	352	11	ann	ann	PROPN
cana-1311	352	12	and	and	CCONJ
cana-1311	352	13	cart	cart	NOUN
cana-1311	352	14	models	model	NOUN
cana-1311	352	15	for	for	ADP
cana-1311	352	16	predicting	predict	VERB
cana-1311	352	17	pm10	pm10	PROPN
cana-1311	352	18	concentrations	concentration	NOUN
cana-1311	352	19	in	in	ADP
cana-1311	352	20	guwahati	guwahati	PROPN
cana-1311	352	21	,	,	PUNCT
cana-1311	352	22	india	india	PROPN
cana-1311	352	23	.	.	PUNCT
cana-1311	353	1	asian	asian	PROPN
cana-1311	353	2	journal	journal	PROPN
cana-1311	353	3	of	of	ADP
cana-1311	353	4	atmospheric	atmospheric	PROPN
cana-1311	353	5	environment	environment	NOUN
cana-1311	353	6	,	,	PUNCT
cana-1311	353	7	15(1	15(1	NUM
cana-1311	353	8	)	)	PUNCT
cana-1311	353	9	,	,	PUNCT
cana-1311	353	10	68–93	68–93	NUM
cana-1311	353	11	.	.	PUNCT
cana-1311	354	1	https://doi.org/10.5572/ajae.2020.131	https://doi.org/10.5572/ajae.2020.131	NOUN
cana-1311	355	1	[	[	X
cana-1311	355	2	14	14	NUM
cana-1311	355	3	]	]	X
cana-1311	355	4	dutta	dutta	PROPN
cana-1311	355	5	,	,	PUNCT
cana-1311	355	6	a.	a.	PROPN
cana-1311	355	7	,	,	PUNCT
cana-1311	355	8	&	&	CCONJ
cana-1311	355	9	jinsart	jinsart	PROPN
cana-1311	355	10	,	,	PUNCT
cana-1311	355	11	w.	w.	PROPN
cana-1311	355	12	(	(	PUNCT
cana-1311	355	13	2021b	2021b	NUM
cana-1311	355	14	)	)	PUNCT
cana-1311	355	15	.	.	PUNCT
cana-1311	356	1	assessing	assess	VERB
cana-1311	356	2	short	short	ADJ
cana-1311	356	3	-	-	PUNCT
cana-1311	356	4	term	term	NOUN
cana-1311	356	5	effects	effect	NOUN
cana-1311	356	6	of	of	ADP
cana-1311	356	7	ambient	ambient	ADJ
cana-1311	356	8	air	air	NOUN
cana-1311	356	9	pollution	pollution	NOUN
cana-1311	356	10	on	on	ADP
cana-1311	356	11	respiratory	respiratory	ADJ
cana-1311	356	12	diseases	disease	NOUN
cana-1311	356	13	in	in	ADP
cana-1311	356	14	guwahati	guwahati	PROPN
cana-1311	356	15	,	,	PUNCT
cana-1311	356	16	india	india	PROPN
cana-1311	356	17	with	with	ADP
cana-1311	356	18	the	the	DET
cana-1311	356	19	application	application	NOUN
cana-1311	356	20	of	of	ADP
cana-1311	356	21	the	the	DET
cana-1311	356	22	generalized	generalize	VERB
cana-1311	356	23	additive	additive	ADJ
cana-1311	356	24	model	model	NOUN
cana-1311	356	25	.	.	PUNCT
cana-1311	357	1	human	human	ADJ
cana-1311	357	2	and	and	CCONJ
cana-1311	357	3	ecological	ecological	ADJ
cana-1311	357	4	risk	risk	NOUN
cana-1311	357	5	assessment	assessment	NOUN
cana-1311	357	6	:	:	PUNCT
cana-1311	357	7	an	an	DET
cana-1311	357	8	international	international	ADJ
cana-1311	357	9	journal	journal	NOUN
cana-1311	357	10	,	,	PUNCT
cana-1311	357	11	27(7	27(7	PROPN
cana-1311	357	12	)	)	PUNCT
cana-1311	357	13	,	,	PUNCT
cana-1311	357	14	1786–1807	1786–1807	NUM
cana-1311	357	15	.	.	PUNCT
cana-1311	358	1	https://doi.org/10.1080/10807039.2021.1908113	https://doi.org/10.1080/10807039.2021.1908113	PUNCT
cana-1311	359	1	[	[	X
cana-1311	359	2	15	15	NUM
cana-1311	359	3	]	]	X
cana-1311	359	4	dutta	dutta	PROPN
cana-1311	359	5	,	,	PUNCT
cana-1311	359	6	a.	a.	PROPN
cana-1311	359	7	,	,	PUNCT
cana-1311	359	8	&	&	CCONJ
cana-1311	359	9	jinsart	jinsart	PROPN
cana-1311	359	10	,	,	PUNCT
cana-1311	359	11	w.	w.	PROPN
cana-1311	359	12	(	(	PUNCT
cana-1311	359	13	2021c	2021c	NUM
cana-1311	359	14	)	)	PUNCT
cana-1311	359	15	.	.	PUNCT
cana-1311	360	1	risks	risk	NOUN
cana-1311	360	2	to	to	ADP
cana-1311	360	3	health	health	NOUN
cana-1311	360	4	from	from	ADP
cana-1311	360	5	ambient	ambient	ADJ
cana-1311	360	6	particulate	particulate	NOUN
cana-1311	360	7	matter	matter	NOUN
cana-1311	360	8	(	(	PUNCT
cana-1311	360	9	pm	pm	NOUN
cana-1311	360	10	2.5	2.5	NUM
cana-1311	360	11	)	)	PUNCT
cana-1311	360	12	to	to	ADP
cana-1311	360	13	the	the	DET
cana-1311	360	14	residents	resident	NOUN
cana-1311	360	15	of	of	ADP
cana-1311	360	16	guwahati	guwahati	PROPN
cana-1311	360	17	city	city	PROPN
cana-1311	360	18	,	,	PUNCT
cana-1311	360	19	india	india	PROPN
cana-1311	360	20	:	:	PUNCT
cana-1311	360	21	an	an	DET
cana-1311	360	22	analysis	analysis	NOUN
cana-1311	360	23	of	of	ADP
cana-1311	360	24	prediction	prediction	NOUN
cana-1311	360	25	model	model	NOUN
cana-1311	360	26	.	.	PUNCT
cana-1311	361	1	human	human	ADJ
cana-1311	361	2	and	and	CCONJ
cana-1311	361	3	ecological	ecological	ADJ
cana-1311	361	4	risk	risk	NOUN
cana-1311	361	5	assessment	assessment	NOUN
cana-1311	361	6	:	:	PUNCT
cana-1311	361	7	an	an	DET
cana-1311	361	8	international	international	ADJ
cana-1311	361	9	journal	journal	NOUN
cana-1311	361	10	,	,	PUNCT
cana-1311	361	11	27(4	27(4	PROPN
cana-1311	361	12	)	)	PUNCT
cana-1311	361	13	,	,	PUNCT
cana-1311	361	14	1094–1111	1094–1111	NUM
cana-1311	361	15	.	.	PUNCT
cana-1311	361	16	https://doi.org/10.1080/10807039.2020.1807902	https://doi.org/10.1080/10807039.2020.1807902	PUNCT
cana-1311	362	1	[	[	X
cana-1311	362	2	16	16	NUM
cana-1311	362	3	]	]	SYM
cana-1311	362	4	ertuğrul	ertuğrul	NOUN
cana-1311	362	5	,	,	PUNCT
cana-1311	362	6	ö.	ö.	PROPN
cana-1311	362	7	f.	f.	PROPN
cana-1311	362	8	,	,	PUNCT
cana-1311	362	9	&	&	CCONJ
cana-1311	362	10	tağluk	tağluk	PROPN
cana-1311	362	11	,	,	PUNCT
cana-1311	362	12	m.	m.	PROPN
cana-1311	362	13	e.	e.	PROPN
cana-1311	362	14	(	(	PUNCT
cana-1311	362	15	2017	2017	NUM
cana-1311	362	16	)	)	PUNCT
cana-1311	362	17	.	.	PUNCT
cana-1311	363	1	a	a	DET
cana-1311	363	2	novel	novel	ADJ
cana-1311	363	3	version	version	NOUN
cana-1311	363	4	of	of	ADP
cana-1311	363	5	k	k	PROPN
cana-1311	363	6	nearest	near	ADJ
cana-1311	363	7	neighbor	neighbor	NOUN
cana-1311	363	8	:	:	PUNCT
cana-1311	363	9	dependent	dependent	ADJ
cana-1311	363	10	nearest	near	ADJ
cana-1311	363	11	neighbor	neighbor	NOUN
cana-1311	363	12	.	.	PUNCT
cana-1311	364	1	applied	apply	VERB
cana-1311	364	2	soft	soft	ADJ
cana-1311	364	3	computing	computing	NOUN
cana-1311	364	4	,	,	PUNCT
cana-1311	364	5	55	55	NUM
cana-1311	364	6	,	,	PUNCT
cana-1311	364	7	480–490	480–490	NUM
cana-1311	364	8	.	.	PUNCT
cana-1311	365	1	https://doi.org/10.1016/j.asoc.2017.02.020	https://doi.org/10.1016/j.asoc.2017.02.020	NOUN
cana-1311	365	2	[	[	X
cana-1311	365	3	17	17	NUM
cana-1311	365	4	]	]	X
cana-1311	365	5	gray	gray	NOUN
cana-1311	365	6	,	,	PUNCT
cana-1311	365	7	k.	k.	PROPN
cana-1311	365	8	r.	r.	PROPN
cana-1311	365	9	,	,	PUNCT
cana-1311	365	10	aljabar	aljabar	VERB
cana-1311	365	11	,	,	PUNCT
cana-1311	365	12	p.	p.	PROPN
cana-1311	365	13	,	,	PUNCT
cana-1311	365	14	heckemann	heckemann	PROPN
cana-1311	365	15	,	,	PUNCT
cana-1311	365	16	r.	r.	PROPN
cana-1311	365	17	a.	a.	PROPN
cana-1311	365	18	,	,	PUNCT
cana-1311	365	19	hammers	hammer	NOUN
cana-1311	365	20	,	,	PUNCT
cana-1311	365	21	a.	a.	NOUN
cana-1311	365	22	,	,	PUNCT
cana-1311	365	23	&	&	CCONJ
cana-1311	365	24	rueckert	rueckert	PROPN
cana-1311	365	25	,	,	PUNCT
cana-1311	365	26	d.	d.	PROPN
cana-1311	365	27	(	(	PUNCT
cana-1311	365	28	2013	2013	NUM
cana-1311	365	29	)	)	PUNCT
cana-1311	365	30	.	.	PUNCT
cana-1311	366	1	random	random	ADJ
cana-1311	366	2	forest	forest	NOUN
cana-1311	366	3	-	-	PUNCT
cana-1311	366	4	based	base	VERB
cana-1311	366	5	similarity	similarity	NOUN
cana-1311	366	6	measures	measure	NOUN
cana-1311	366	7	for	for	ADP
cana-1311	366	8	multi	multi	ADJ
cana-1311	366	9	-	-	ADJ
cana-1311	366	10	modal	modal	ADJ
cana-1311	366	11	classification	classification	NOUN
cana-1311	366	12	of	of	ADP
cana-1311	366	13	alzheimer	alzheimer	PROPN
cana-1311	366	14	’s	’s	PART
cana-1311	366	15	disease	disease	NOUN
cana-1311	366	16	.	.	PUNCT
cana-1311	367	1	neuroimage	neuroimage	NOUN
cana-1311	367	2	,	,	PUNCT
cana-1311	367	3	65	65	NUM
cana-1311	367	4	,	,	PUNCT
cana-1311	367	5	167–175	167–175	NUM
cana-1311	367	6	.	.	PUNCT
cana-1311	368	1	https://doi.org/10.1016/j.neuroimage.2012.09.065	https://doi.org/10.1016/j.neuroimage.2012.09.065	PROPN
cana-1311	368	2	[	[	X
cana-1311	368	3	18	18	NUM
cana-1311	368	4	]	]	X
cana-1311	368	5	gupta	gupta	PROPN
cana-1311	368	6	,	,	PUNCT
cana-1311	368	7	n.	n.	PROPN
cana-1311	368	8	s.	s.	PROPN
cana-1311	368	9	,	,	PUNCT
cana-1311	368	10	mohta	mohta	PROPN
cana-1311	368	11	,	,	PUNCT
cana-1311	368	12	y.	y.	PROPN
cana-1311	368	13	,	,	PUNCT
cana-1311	368	14	heda	heda	PROPN
cana-1311	368	15	,	,	PUNCT
cana-1311	368	16	k.	k.	PROPN
cana-1311	368	17	,	,	PUNCT
cana-1311	368	18	armaan	armaan	PROPN
cana-1311	368	19	,	,	PUNCT
cana-1311	368	20	r.	r.	PROPN
cana-1311	368	21	,	,	PUNCT
cana-1311	368	22	valarmathi	valarmathi	PROPN
cana-1311	368	23	,	,	PUNCT
cana-1311	368	24	b.	b.	PROPN
cana-1311	368	25	,	,	PUNCT
cana-1311	368	26	&	&	CCONJ
cana-1311	368	27	arulkumaran	arulkumaran	PROPN
cana-1311	368	28	,	,	PUNCT
cana-1311	368	29	g.	g.	PROPN
cana-1311	368	30	(	(	PUNCT
cana-1311	368	31	2023	2023	NUM
cana-1311	368	32	)	)	PUNCT
cana-1311	368	33	.	.	PUNCT
cana-1311	369	1	prediction	prediction	NOUN
cana-1311	369	2	of	of	ADP
cana-1311	369	3	air	air	NOUN
cana-1311	369	4	quality	quality	NOUN
cana-1311	369	5	index	index	NOUN
cana-1311	369	6	using	use	VERB
cana-1311	369	7	machine	machine	NOUN
cana-1311	369	8	learning	learn	VERB
cana-1311	369	9	techniques	technique	NOUN
cana-1311	369	10	:	:	PUNCT
cana-1311	369	11	a	a	DET
cana-1311	369	12	comparative	comparative	ADJ
cana-1311	369	13	analysis	analysis	NOUN
cana-1311	369	14	.	.	PUNCT
cana-1311	370	1	journal	journal	PROPN
cana-1311	370	2	of	of	ADP
cana-1311	370	3	environmental	environmental	ADJ
cana-1311	370	4	and	and	CCONJ
cana-1311	370	5	public	public	ADJ
cana-1311	370	6	health	health	NOUN
cana-1311	370	7	,	,	PUNCT
cana-1311	370	8	2023	2023	NUM
cana-1311	370	9	,	,	PUNCT
cana-1311	370	10	4916267	4916267	NUM
cana-1311	370	11	.	.	PUNCT
cana-1311	371	1	https://doi.org/10.1155/2023/4916267	https://doi.org/10.1155/2023/4916267	NOUN
cana-1311	371	2	communications	communication	NOUN
cana-1311	371	3	on	on	ADP
cana-1311	371	4	applied	apply	VERB
cana-1311	371	5	nonlinear	nonlinear	ADJ
cana-1311	371	6	analysis	analysis	NOUN
cana-1311	371	7	issn	issn	NOUN
cana-1311	371	8	:	:	PUNCT
cana-1311	371	9	1074	1074	NUM
cana-1311	371	10	-	-	PUNCT
cana-1311	371	11	133x	133x	NUM
cana-1311	371	12	vol	vol	NOUN
cana-1311	371	13	31	31	NUM
cana-1311	371	14	no	no	NOUN
cana-1311	371	15	.	.	PUNCT
cana-1311	372	1	7s	7	NOUN
cana-1311	372	2	(	(	PUNCT
cana-1311	372	3	2024	2024	NUM
cana-1311	372	4	)	)	PUNCT
cana-1311	372	5	347	347	NUM
cana-1311	372	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	373	1	[	[	X
cana-1311	373	2	19	19	NUM
cana-1311	373	3	]	]	X
cana-1311	373	4	guwahati	guwahati	NOUN
cana-1311	373	5	.	.	PUNCT
cana-1311	374	1	(	(	PUNCT
cana-1311	374	2	2024	2024	NUM
cana-1311	374	3	)	)	PUNCT
cana-1311	374	4	.	.	PUNCT
cana-1311	375	1	in	in	ADP
cana-1311	375	2	wikipedia	wikipedia	PROPN
cana-1311	375	3	.	.	PUNCT
cana-1311	376	1	https://en.wikipedia.org/w/index.php?title=guwahati&oldid=1223066769	https://en.wikipedia.org/w/index.php?title=guwahati&oldid=1223066769	PROPN
cana-1311	377	1	[	[	X
cana-1311	377	2	20	20	NUM
cana-1311	377	3	]	]	X
cana-1311	377	4	hamed	hamed	PROPN
cana-1311	377	5	,	,	PUNCT
cana-1311	377	6	y.	y.	PROPN
cana-1311	377	7	,	,	PUNCT
cana-1311	377	8	ibrahim	ibrahim	PROPN
cana-1311	377	9	alzahrani	alzahrani	PROPN
cana-1311	377	10	,	,	PUNCT
cana-1311	377	11	a.	a.	NOUN
cana-1311	377	12	,	,	PUNCT
cana-1311	377	13	shafie	shafie	NOUN
cana-1311	377	14	,	,	PUNCT
cana-1311	377	15	a.	a.	NOUN
cana-1311	377	16	,	,	PUNCT
cana-1311	377	17	mustaffa	mustaffa	PROPN
cana-1311	377	18	,	,	PUNCT
cana-1311	377	19	z.	z.	PROPN
cana-1311	377	20	,	,	PUNCT
cana-1311	377	21	che	che	PROPN
cana-1311	377	22	ismail	ismail	PROPN
cana-1311	377	23	,	,	PUNCT
cana-1311	377	24	m.	m.	NOUN
cana-1311	377	25	,	,	PUNCT
cana-1311	377	26	&	&	CCONJ
cana-1311	377	27	kok	kok	PROPN
cana-1311	377	28	eng	eng	PROPN
cana-1311	377	29	,	,	PUNCT
cana-1311	377	30	k.	k.	PROPN
cana-1311	377	31	(	(	PUNCT
cana-1311	377	32	2020	2020	NUM
cana-1311	377	33	)	)	PUNCT
cana-1311	377	34	.	.	PUNCT
cana-1311	378	1	two	two	NUM
cana-1311	378	2	steps	step	VERB
cana-1311	378	3	hybrid	hybrid	ADJ
cana-1311	378	4	calibration	calibration	NOUN
cana-1311	378	5	algorithm	algorithm	NOUN
cana-1311	378	6	of	of	ADP
cana-1311	378	7	support	support	NOUN
cana-1311	378	8	vector	vector	NOUN
cana-1311	378	9	regression	regression	NOUN
cana-1311	378	10	and	and	CCONJ
cana-1311	378	11	k	k	NOUN
cana-1311	378	12	-	-	PUNCT
cana-1311	378	13	nearest	near	ADJ
cana-1311	378	14	neighbors	neighbor	NOUN
cana-1311	378	15	.	.	PUNCT
cana-1311	379	1	alexandria	alexandria	PROPN
cana-1311	379	2	engineering	engineering	PROPN
cana-1311	379	3	journal	journal	PROPN
cana-1311	379	4	,	,	PUNCT
cana-1311	379	5	59(3	59(3	NUM
cana-1311	379	6	)	)	PUNCT
cana-1311	379	7	,	,	PUNCT
cana-1311	379	8	1181–1190	1181–1190	NUM
cana-1311	379	9	.	.	PUNCT
cana-1311	380	1	https://doi.org/10.1016/j.aej.2020.01.033	https://doi.org/10.1016/j.aej.2020.01.033	PROPN
cana-1311	380	2	[	[	X
cana-1311	380	3	21	21	NUM
cana-1311	380	4	]	]	PUNCT
cana-1311	380	5	jain	jain	PROPN
cana-1311	380	6	,	,	PUNCT
cana-1311	380	7	r.	r.	PROPN
cana-1311	380	8	k.	k.	PROPN
cana-1311	380	9	,	,	PUNCT
cana-1311	380	10	kori	kori	PROPN
cana-1311	380	11	,	,	PUNCT
cana-1311	380	12	r.	r.	PROPN
cana-1311	380	13	,	,	PUNCT
cana-1311	380	14	&	&	CCONJ
cana-1311	380	15	saxena	saxena	PROPN
cana-1311	380	16	,	,	PUNCT
cana-1311	380	17	a.	a.	NOUN
cana-1311	380	18	(	(	PUNCT
cana-1311	380	19	2010	2010	NUM
cana-1311	380	20	)	)	PUNCT
cana-1311	380	21	.	.	PUNCT
cana-1311	381	1	ambient	ambient	ADJ
cana-1311	381	2	air	air	NOUN
cana-1311	381	3	quality	quality	NOUN
cana-1311	381	4	status	status	NOUN
cana-1311	381	5	of	of	ADP
cana-1311	381	6	bhopal	bhopal	PROPN
cana-1311	381	7	,	,	PUNCT
cana-1311	381	8	madhya	madhya	PROPN
cana-1311	381	9	pradesh	pradesh	PROPN
cana-1311	381	10	.	.	PUNCT
cana-1311	382	1	studies	study	NOUN
cana-1311	382	2	on	on	ADP
cana-1311	382	3	pollution	pollution	NOUN
cana-1311	382	4	mitigation	mitigation	NOUN
cana-1311	382	5	.	.	PUNCT
cana-1311	383	1	cpcb	cpcb	NOUN
cana-1311	383	2	pp	pp	ADP
cana-1311	383	3	,	,	PUNCT
cana-1311	383	4	3944	3944	NUM
cana-1311	383	5	.	.	PUNCT
cana-1311	384	1	[	[	X
cana-1311	384	2	22	22	NUM
cana-1311	384	3	]	]	X
cana-1311	384	4	james	james	PROPN
cana-1311	384	5	,	,	PUNCT
cana-1311	384	6	g.	g.	PROPN
cana-1311	384	7	,	,	PUNCT
cana-1311	384	8	witten	witten	PROPN
cana-1311	384	9	,	,	PUNCT
cana-1311	384	10	d.	d.	PROPN
cana-1311	384	11	,	,	PUNCT
cana-1311	384	12	hastie	hastie	PROPN
cana-1311	384	13	,	,	PUNCT
cana-1311	384	14	t.	t.	PROPN
cana-1311	384	15	,	,	PUNCT
cana-1311	384	16	&	&	CCONJ
cana-1311	384	17	tibshirani	tibshirani	PROPN
cana-1311	384	18	,	,	PUNCT
cana-1311	384	19	r.	r.	PROPN
cana-1311	384	20	(	(	PUNCT
cana-1311	384	21	2021a	2021a	NUM
cana-1311	384	22	)	)	PUNCT
cana-1311	384	23	.	.	PUNCT
cana-1311	385	1	an	an	DET
cana-1311	385	2	introduction	introduction	NOUN
cana-1311	385	3	to	to	ADP
cana-1311	385	4	statistical	statistical	ADJ
cana-1311	385	5	learning	learning	NOUN
cana-1311	385	6	:	:	PUNCT
cana-1311	385	7	with	with	ADP
cana-1311	385	8	applications	application	NOUN
cana-1311	385	9	in	in	ADP
cana-1311	385	10	r.	r.	PROPN
cana-1311	385	11	springer	springer	PROPN
cana-1311	385	12	us	we	PRON
cana-1311	385	13	.	.	PUNCT
cana-1311	386	1	https://doi.org/10.1007/978-1-0716-1418-1	https://doi.org/10.1007/978-1-0716-1418-1	PROPN
cana-1311	387	1	[	[	X
cana-1311	387	2	23	23	NUM
cana-1311	387	3	]	]	X
cana-1311	387	4	james	james	PROPN
cana-1311	387	5	,	,	PUNCT
cana-1311	387	6	g.	g.	PROPN
cana-1311	387	7	,	,	PUNCT
cana-1311	387	8	witten	witten	PROPN
cana-1311	387	9	,	,	PUNCT
cana-1311	387	10	d.	d.	PROPN
cana-1311	387	11	,	,	PUNCT
cana-1311	387	12	hastie	hastie	PROPN
cana-1311	387	13	,	,	PUNCT
cana-1311	387	14	t.	t.	PROPN
cana-1311	387	15	,	,	PUNCT
cana-1311	387	16	&	&	CCONJ
cana-1311	387	17	tibshirani	tibshirani	PROPN
cana-1311	387	18	,	,	PUNCT
cana-1311	387	19	r.	r.	PROPN
cana-1311	387	20	(	(	PUNCT
cana-1311	387	21	2021b	2021b	NUM
cana-1311	387	22	)	)	PUNCT
cana-1311	387	23	.	.	PUNCT
cana-1311	388	1	classification	classification	NOUN
cana-1311	388	2	.	.	PUNCT
cana-1311	389	1	in	in	ADP
cana-1311	389	2	g.	g.	PROPN
cana-1311	389	3	james	james	PROPN
cana-1311	389	4	,	,	PUNCT
cana-1311	389	5	d.	d.	PROPN
cana-1311	389	6	witten	witten	PROPN
cana-1311	389	7	,	,	PUNCT
cana-1311	389	8	t.	t.	PROPN
cana-1311	389	9	hastie	hastie	PROPN
cana-1311	389	10	,	,	PUNCT
cana-1311	389	11	&	&	CCONJ
cana-1311	389	12	r.	r.	PROPN
cana-1311	389	13	tibshirani	tibshirani	PROPN
cana-1311	389	14	(	(	PUNCT
cana-1311	389	15	eds	ed	NOUN
cana-1311	389	16	.	.	PUNCT
cana-1311	389	17	)	)	PUNCT
cana-1311	389	18	,	,	PUNCT
cana-1311	389	19	an	an	DET
cana-1311	389	20	introduction	introduction	NOUN
cana-1311	389	21	to	to	ADP
cana-1311	389	22	statistical	statistical	ADJ
cana-1311	389	23	learning	learning	NOUN
cana-1311	389	24	:	:	PUNCT
cana-1311	389	25	with	with	ADP
cana-1311	389	26	applications	application	NOUN
cana-1311	389	27	in	in	ADP
cana-1311	389	28	r	r	NOUN
cana-1311	389	29	(	(	PUNCT
cana-1311	389	30	pp	pp	ADJ
cana-1311	389	31	.	.	PUNCT
cana-1311	390	1	129–195	129–195	NUM
cana-1311	390	2	)	)	PUNCT
cana-1311	390	3	.	.	PUNCT
cana-1311	391	1	springer	springer	PROPN
cana-1311	391	2	us	we	PRON
cana-1311	391	3	.	.	PUNCT
cana-1311	392	1	https://doi.org/10.1007/978-1-0716-1418-1_4	https://doi.org/10.1007/978-1-0716-1418-1_4	PROPN
cana-1311	393	1	[	[	X
cana-1311	393	2	24	24	NUM
cana-1311	393	3	]	]	X
cana-1311	393	4	james	james	PROPN
cana-1311	393	5	,	,	PUNCT
cana-1311	393	6	g.	g.	PROPN
cana-1311	393	7	,	,	PUNCT
cana-1311	393	8	witten	witten	PROPN
cana-1311	393	9	,	,	PUNCT
cana-1311	393	10	d.	d.	PROPN
cana-1311	393	11	,	,	PUNCT
cana-1311	393	12	hastie	hastie	PROPN
cana-1311	393	13	,	,	PUNCT
cana-1311	393	14	t.	t.	PROPN
cana-1311	393	15	,	,	PUNCT
cana-1311	393	16	&	&	CCONJ
cana-1311	393	17	tibshirani	tibshirani	PROPN
cana-1311	393	18	,	,	PUNCT
cana-1311	393	19	r.	r.	PROPN
cana-1311	393	20	(	(	PUNCT
cana-1311	393	21	2021c	2021c	NUM
cana-1311	393	22	)	)	PUNCT
cana-1311	393	23	.	.	PUNCT
cana-1311	394	1	tree	tree	NOUN
cana-1311	394	2	-	-	PUNCT
cana-1311	394	3	based	base	VERB
cana-1311	394	4	methods	method	NOUN
cana-1311	394	5	.	.	PUNCT
cana-1311	395	1	in	in	ADP
cana-1311	395	2	g.	g.	PROPN
cana-1311	395	3	james	james	PROPN
cana-1311	395	4	,	,	PUNCT
cana-1311	395	5	d.	d.	PROPN
cana-1311	395	6	witten	witten	PROPN
cana-1311	395	7	,	,	PUNCT
cana-1311	395	8	t.	t.	PROPN
cana-1311	395	9	hastie	hastie	PROPN
cana-1311	395	10	,	,	PUNCT
cana-1311	395	11	&	&	CCONJ
cana-1311	395	12	r.	r.	PROPN
cana-1311	395	13	tibshirani	tibshirani	PROPN
cana-1311	395	14	(	(	PUNCT
cana-1311	395	15	eds	ed	NOUN
cana-1311	395	16	.	.	PUNCT
cana-1311	395	17	)	)	PUNCT
cana-1311	395	18	,	,	PUNCT
cana-1311	395	19	an	an	DET
cana-1311	395	20	introduction	introduction	NOUN
cana-1311	395	21	to	to	ADP
cana-1311	395	22	statistical	statistical	ADJ
cana-1311	395	23	learning	learning	NOUN
cana-1311	395	24	:	:	PUNCT
cana-1311	395	25	with	with	ADP
cana-1311	395	26	applications	application	NOUN
cana-1311	395	27	in	in	ADP
cana-1311	395	28	r	r	NOUN
cana-1311	395	29	(	(	PUNCT
cana-1311	395	30	pp	pp	ADJ
cana-1311	395	31	.	.	PUNCT
cana-1311	396	1	327–365	327–365	NUM
cana-1311	396	2	)	)	PUNCT
cana-1311	396	3	.	.	PUNCT
cana-1311	397	1	springer	springer	PROPN
cana-1311	397	2	us	we	PRON
cana-1311	397	3	.	.	PUNCT
cana-1311	398	1	https://doi.org/10.1007/978-1-0716-1418-1_8	https://doi.org/10.1007/978-1-0716-1418-1_8	PROPN
cana-1311	399	1	[	[	X
cana-1311	399	2	25	25	NUM
cana-1311	399	3	]	]	X
cana-1311	399	4	kampa	kampa	NOUN
cana-1311	399	5	,	,	PUNCT
cana-1311	399	6	m.	m.	NOUN
cana-1311	399	7	,	,	PUNCT
cana-1311	399	8	&	&	CCONJ
cana-1311	399	9	castanas	castanas	PROPN
cana-1311	399	10	,	,	PUNCT
cana-1311	399	11	e.	e.	PROPN
cana-1311	399	12	(	(	PUNCT
cana-1311	399	13	2008	2008	NUM
cana-1311	399	14	)	)	PUNCT
cana-1311	399	15	.	.	PUNCT
cana-1311	400	1	human	human	ADJ
cana-1311	400	2	health	health	NOUN
cana-1311	400	3	effects	effect	NOUN
cana-1311	400	4	of	of	ADP
cana-1311	400	5	air	air	NOUN
cana-1311	400	6	pollution	pollution	NOUN
cana-1311	400	7	.	.	PUNCT
cana-1311	401	1	environmental	environmental	ADJ
cana-1311	401	2	pollution	pollution	NOUN
cana-1311	401	3	,	,	PUNCT
cana-1311	401	4	151	151	NUM
cana-1311	401	5	(	(	PUNCT
cana-1311	401	6	2	2	NUM
cana-1311	401	7	)	)	PUNCT
cana-1311	401	8	,	,	PUNCT
cana-1311	401	9	362	362	NUM
cana-1311	401	10	–	–	PUNCT
cana-1311	401	11	367	367	NUM
cana-1311	401	12	.	.	PUNCT
cana-1311	402	1	https://doi.org/10.1016/j.envpol.2007.06.012	https://doi.org/10.1016/j.envpol.2007.06.012	NOUN
cana-1311	402	2	[	[	X
cana-1311	402	3	26	26	NUM
cana-1311	402	4	]	]	X
cana-1311	402	5	kotsiantis	kotsiantis	PROPN
cana-1311	402	6	,	,	PUNCT
cana-1311	402	7	s.	s.	PROPN
cana-1311	402	8	b.	b.	PROPN
cana-1311	402	9	,	,	PUNCT
cana-1311	402	10	zaharakis	zaharakis	PROPN
cana-1311	402	11	,	,	PUNCT
cana-1311	402	12	i.	i.	PROPN
cana-1311	402	13	,	,	PUNCT
cana-1311	402	14	&	&	CCONJ
cana-1311	402	15	pintelas	pintela	NOUN
cana-1311	402	16	,	,	PUNCT
cana-1311	402	17	p.	p.	NOUN
cana-1311	402	18	(	(	PUNCT
cana-1311	402	19	2007	2007	NUM
cana-1311	402	20	)	)	PUNCT
cana-1311	402	21	.	.	PUNCT
cana-1311	403	1	supervised	supervised	ADJ
cana-1311	403	2	machine	machine	NOUN
cana-1311	403	3	learning	learning	NOUN
cana-1311	403	4	:	:	PUNCT
cana-1311	403	5	a	a	DET
cana-1311	403	6	review	review	NOUN
cana-1311	403	7	of	of	ADP
cana-1311	403	8	classification	classification	NOUN
cana-1311	403	9	techniques	technique	NOUN
cana-1311	403	10	.	.	PUNCT
cana-1311	404	1	emerging	emerge	VERB
cana-1311	404	2	artificial	artificial	ADJ
cana-1311	404	3	intelligence	intelligence	NOUN
cana-1311	404	4	applications	application	NOUN
cana-1311	404	5	in	in	ADP
cana-1311	404	6	computer	computer	NOUN
cana-1311	404	7	engineering	engineering	NOUN
cana-1311	404	8	,	,	PUNCT
cana-1311	404	9	160(1	160(1	NUM
cana-1311	404	10	)	)	PUNCT
cana-1311	404	11	,	,	PUNCT
cana-1311	404	12	3–24	3–24	NOUN
cana-1311	404	13	.	.	PUNCT
cana-1311	405	1	[	[	X
cana-1311	405	2	27	27	NUM
cana-1311	405	3	]	]	X
cana-1311	405	4	kowalska	kowalska	PROPN
cana-1311	405	5	,	,	PUNCT
cana-1311	405	6	m.	m.	NOUN
cana-1311	405	7	,	,	PUNCT
cana-1311	405	8	ośródka	ośródka	PROPN
cana-1311	405	9	,	,	PUNCT
cana-1311	405	10	l.	l.	PROPN
cana-1311	405	11	,	,	PUNCT
cana-1311	405	12	klejnowski	klejnowski	NOUN
cana-1311	405	13	,	,	PUNCT
cana-1311	405	14	k.	k.	PROPN
cana-1311	405	15	,	,	PUNCT
cana-1311	405	16	zejda	zejda	PROPN
cana-1311	405	17	,	,	PUNCT
cana-1311	405	18	j.	j.	PROPN
cana-1311	405	19	e.	e.	PROPN
cana-1311	405	20	,	,	PUNCT
cana-1311	405	21	krajny	krajny	PROPN
cana-1311	405	22	,	,	PUNCT
cana-1311	405	23	e.	e.	PROPN
cana-1311	405	24	,	,	PUNCT
cana-1311	405	25	&	&	CCONJ
cana-1311	405	26	wojtylak	wojtylak	ADJ
cana-1311	405	27	,	,	PUNCT
cana-1311	405	28	m.	m.	NOUN
cana-1311	405	29	(	(	PUNCT
cana-1311	405	30	2009	2009	NUM
cana-1311	405	31	)	)	PUNCT
cana-1311	405	32	.	.	PUNCT
cana-1311	406	1	air	air	PROPN
cana-1311	406	2	quality	quality	PROPN
cana-1311	406	3	index	index	NOUN
cana-1311	406	4	and	and	CCONJ
cana-1311	406	5	its	its	PRON
cana-1311	406	6	significance	significance	NOUN
cana-1311	406	7	in	in	ADP
cana-1311	406	8	environmental	environmental	ADJ
cana-1311	406	9	health	health	NOUN
cana-1311	406	10	risk	risk	NOUN
cana-1311	406	11	communication	communication	NOUN
cana-1311	406	12	.	.	PUNCT
cana-1311	407	1	archives	archive	NOUN
cana-1311	407	2	of	of	ADP
cana-1311	407	3	environmental	environmental	ADJ
cana-1311	407	4	protection	protection	NOUN
cana-1311	407	5	,	,	PUNCT
cana-1311	407	6	13–21	13–21	NUM
cana-1311	407	7	.	.	PUNCT
cana-1311	408	1	[	[	X
cana-1311	408	2	28	28	NUM
cana-1311	408	3	]	]	X
cana-1311	408	4	kumar	kumar	PROPN
cana-1311	408	5	,	,	PUNCT
cana-1311	408	6	a.	a.	PROPN
cana-1311	408	7	,	,	PUNCT
cana-1311	408	8	patil	patil	PROPN
cana-1311	408	9	,	,	PUNCT
cana-1311	408	10	r.	r.	PROPN
cana-1311	408	11	s.	s.	PROPN
cana-1311	408	12	,	,	PUNCT
cana-1311	408	13	dikshit	dikshit	PROPN
cana-1311	408	14	,	,	PUNCT
cana-1311	408	15	a.	a.	PROPN
cana-1311	408	16	k.	k.	PROPN
cana-1311	408	17	,	,	PUNCT
cana-1311	408	18	&	&	CCONJ
cana-1311	408	19	kumar	kumar	PROPN
cana-1311	408	20	,	,	PUNCT
cana-1311	408	21	r.	r.	PROPN
cana-1311	408	22	(	(	PUNCT
cana-1311	408	23	2019	2019	NUM
cana-1311	408	24	)	)	PUNCT
cana-1311	408	25	.	.	PUNCT
cana-1311	409	1	assessment	assessment	NOUN
cana-1311	409	2	of	of	ADP
cana-1311	409	3	spatial	spatial	ADJ
cana-1311	409	4	ambient	ambient	ADJ
cana-1311	409	5	concentration	concentration	NOUN
cana-1311	409	6	of	of	ADP
cana-1311	409	7	nh3	nh3	NOUN
cana-1311	409	8	and	and	CCONJ
cana-1311	409	9	its	its	PRON
cana-1311	409	10	health	health	NOUN
cana-1311	409	11	impact	impact	NOUN
cana-1311	409	12	for	for	ADP
cana-1311	409	13	mumbai	mumbai	PROPN
cana-1311	409	14	city	city	PROPN
cana-1311	409	15	.	.	PUNCT
cana-1311	410	1	asian	asian	ADJ
cana-1311	410	2	journal	journal	PROPN
cana-1311	410	3	of	of	ADP
cana-1311	410	4	atmospheric	atmospheric	PROPN
cana-1311	410	5	environment	environment	NOUN
cana-1311	410	6	,	,	PUNCT
cana-1311	410	7	13(1	13(1	NUM
cana-1311	410	8	)	)	PUNCT
cana-1311	410	9	,	,	PUNCT
cana-1311	410	10	11–19	11–19	NUM
cana-1311	410	11	.	.	PUNCT
cana-1311	411	1	https://doi.org/10.5572/ajae.2019.13.1.011	https://doi.org/10.5572/ajae.2019.13.1.011	PROPN
cana-1311	411	2	[	[	X
cana-1311	411	3	29	29	NUM
cana-1311	411	4	]	]	X
cana-1311	411	5	kumar	kumar	PROPN
cana-1311	411	6	,	,	PUNCT
cana-1311	411	7	k.	k.	PROPN
cana-1311	411	8	,	,	PUNCT
cana-1311	411	9	&	&	CCONJ
cana-1311	411	10	pande	pande	PROPN
cana-1311	411	11	,	,	PUNCT
cana-1311	411	12	b.	b.	PROPN
cana-1311	411	13	p.	p.	PROPN
cana-1311	411	14	(	(	PUNCT
cana-1311	411	15	2023	2023	NUM
cana-1311	411	16	)	)	PUNCT
cana-1311	411	17	.	.	PUNCT
cana-1311	412	1	air	air	NOUN
cana-1311	412	2	pollution	pollution	NOUN
cana-1311	412	3	prediction	prediction	NOUN
cana-1311	412	4	with	with	ADP
cana-1311	412	5	machine	machine	NOUN
cana-1311	412	6	learning	learning	NOUN
cana-1311	412	7	:	:	PUNCT
cana-1311	412	8	a	a	DET
cana-1311	412	9	case	case	NOUN
cana-1311	412	10	study	study	NOUN
cana-1311	412	11	of	of	ADP
cana-1311	412	12	indian	indian	ADJ
cana-1311	412	13	cities	city	NOUN
cana-1311	412	14	.	.	PUNCT
cana-1311	413	1	international	international	ADJ
cana-1311	413	2	journal	journal	PROPN
cana-1311	413	3	of	of	ADP
cana-1311	413	4	environmental	environmental	ADJ
cana-1311	413	5	science	science	NOUN
cana-1311	413	6	and	and	CCONJ
cana-1311	413	7	technology	technology	NOUN
cana-1311	413	8	,	,	PUNCT
cana-1311	413	9	20(5	20(5	NUM
cana-1311	413	10	)	)	PUNCT
cana-1311	413	11	,	,	PUNCT
cana-1311	413	12	5333–5348	5333–5348	NUM
cana-1311	413	13	.	.	PUNCT
cana-1311	414	1	https://doi.org/10.1007/s13762-022-04241-5	https://doi.org/10.1007/s13762-022-04241-5	X
cana-1311	415	1	[	[	X
cana-1311	415	2	30	30	NUM
cana-1311	415	3	]	]	X
cana-1311	415	4	liang	liang	PROPN
cana-1311	415	5	,	,	PUNCT
cana-1311	415	6	y.-c	y.-c	PROPN
cana-1311	415	7	.	.	PROPN
cana-1311	415	8	,	,	PUNCT
cana-1311	415	9	maimury	maimury	PROPN
cana-1311	415	10	,	,	PUNCT
cana-1311	415	11	y.	y.	PROPN
cana-1311	415	12	,	,	PUNCT
cana-1311	415	13	chen	chen	PROPN
cana-1311	415	14	,	,	PUNCT
cana-1311	415	15	a.	a.	PROPN
cana-1311	415	16	h.-l	h.-l	PROPN
cana-1311	415	17	.	.	PUNCT
cana-1311	415	18	,	,	PUNCT
cana-1311	415	19	&	&	CCONJ
cana-1311	415	20	juarez	juarez	PROPN
cana-1311	415	21	,	,	PUNCT
cana-1311	415	22	j.	j.	PROPN
cana-1311	415	23	r.	r.	PROPN
cana-1311	415	24	c.	c.	PROPN
cana-1311	415	25	(	(	PUNCT
cana-1311	415	26	2020	2020	NUM
cana-1311	415	27	)	)	PUNCT
cana-1311	415	28	.	.	PUNCT
cana-1311	416	1	machine	machine	NOUN
cana-1311	416	2	learning	learning	NOUN
cana-1311	416	3	-	-	PUNCT
cana-1311	416	4	based	base	VERB
cana-1311	416	5	prediction	prediction	NOUN
cana-1311	416	6	of	of	ADP
cana-1311	416	7	air	air	NOUN
cana-1311	416	8	quality	quality	NOUN
cana-1311	416	9	.	.	PUNCT
cana-1311	417	1	applied	apply	VERB
cana-1311	417	2	sciences	science	NOUN
cana-1311	417	3	,	,	PUNCT
cana-1311	417	4	10(24	10(24	NUM
cana-1311	417	5	)	)	PUNCT
cana-1311	417	6	,	,	PUNCT
cana-1311	417	7	9151	9151	NUM
cana-1311	417	8	.	.	PUNCT
cana-1311	418	1	https://doi.org/10.3390/app10249151	https://doi.org/10.3390/app10249151	PUNCT
cana-1311	419	1	[	[	X
cana-1311	419	2	31	31	NUM
cana-1311	419	3	]	]	X
cana-1311	419	4	loh	loh	PROPN
cana-1311	419	5	,	,	PUNCT
cana-1311	419	6	w.	w.	PROPN
cana-1311	419	7	(	(	PUNCT
cana-1311	419	8	2011	2011	NUM
cana-1311	419	9	)	)	PUNCT
cana-1311	419	10	.	.	PUNCT
cana-1311	420	1	classification	classification	NOUN
cana-1311	420	2	and	and	CCONJ
cana-1311	420	3	regression	regression	NOUN
cana-1311	420	4	trees	tree	NOUN
cana-1311	420	5	.	.	PUNCT
cana-1311	421	1	wires	wire	NOUN
cana-1311	421	2	data	data	PROPN
cana-1311	421	3	mining	mining	NOUN
cana-1311	421	4	and	and	CCONJ
cana-1311	421	5	knowledge	knowledge	NOUN
cana-1311	421	6	discovery	discovery	NOUN
cana-1311	421	7	,	,	PUNCT
cana-1311	421	8	1(1	1(1	NUM
cana-1311	421	9	)	)	PUNCT
cana-1311	421	10	,	,	PUNCT
cana-1311	421	11	14–23	14–23	PROPN
cana-1311	421	12	.	.	PUNCT
cana-1311	421	13	https://doi.org/10.1002/widm.8	https://doi.org/10.1002/widm.8	PROPN
cana-1311	422	1	[	[	X
cana-1311	422	2	32	32	NUM
cana-1311	422	3	]	]	SYM
cana-1311	422	4	madan	madan	PROPN
cana-1311	422	5	,	,	PUNCT
cana-1311	422	6	t.	t.	PROPN
cana-1311	422	7	,	,	PUNCT
cana-1311	422	8	sagar	sagar	PROPN
cana-1311	422	9	,	,	PUNCT
cana-1311	422	10	s.	s.	PROPN
cana-1311	422	11	,	,	PUNCT
cana-1311	422	12	&	&	CCONJ
cana-1311	422	13	virmani	virmani	PROPN
cana-1311	422	14	,	,	PUNCT
cana-1311	422	15	d.	d.	PROPN
cana-1311	422	16	(	(	PUNCT
cana-1311	422	17	2020	2020	NUM
cana-1311	422	18	)	)	PUNCT
cana-1311	422	19	.	.	PUNCT
cana-1311	423	1	air	air	NOUN
cana-1311	423	2	quality	quality	NOUN
cana-1311	423	3	prediction	prediction	NOUN
cana-1311	423	4	using	use	VERB
cana-1311	423	5	machine	machine	NOUN
cana-1311	423	6	learning	learn	VERB
cana-1311	423	7	algorithms	algorithm	NOUN
cana-1311	423	8	–	–	PUNCT
cana-1311	423	9	a	a	DET
cana-1311	423	10	review	review	NOUN
cana-1311	423	11	.	.	PUNCT
cana-1311	424	1	2020	2020	NUM
cana-1311	424	2	2nd	2nd	ADJ
cana-1311	424	3	international	international	ADJ
cana-1311	424	4	conference	conference	NOUN
cana-1311	424	5	on	on	ADP
cana-1311	424	6	advances	advance	NOUN
cana-1311	424	7	in	in	ADP
cana-1311	424	8	computing	computing	NOUN
cana-1311	424	9	,	,	PUNCT
cana-1311	424	10	communication	communication	NOUN
cana-1311	424	11	control	control	NOUN
cana-1311	424	12	and	and	CCONJ
cana-1311	424	13	networking	networking	NOUN
cana-1311	424	14	(	(	PUNCT
cana-1311	424	15	icacccn	icacccn	PROPN
cana-1311	424	16	)	)	PUNCT
cana-1311	424	17	,	,	PUNCT
cana-1311	424	18	140–145	140–145	NUM
cana-1311	424	19	.	.	PUNCT
cana-1311	425	1	https://doi.org/10.1109/icacccn51052.2020.9362912	https://doi.org/10.1109/icacccn51052.2020.9362912	PROPN
cana-1311	425	2	[	[	X
cana-1311	425	3	33	33	NUM
cana-1311	425	4	]	]	X
cana-1311	425	5	mahalingam	mahalingam	NOUN
cana-1311	425	6	,	,	PUNCT
cana-1311	425	7	u.	u.	PROPN
cana-1311	425	8	,	,	PUNCT
cana-1311	425	9	elangovan	elangovan	PROPN
cana-1311	425	10	,	,	PUNCT
cana-1311	425	11	k.	k.	PROPN
cana-1311	425	12	,	,	PUNCT
cana-1311	425	13	dobhal	dobhal	PROPN
cana-1311	425	14	,	,	PUNCT
cana-1311	425	15	h.	h.	PROPN
cana-1311	425	16	,	,	PUNCT
cana-1311	425	17	valliappa	valliappa	PROPN
cana-1311	425	18	,	,	PUNCT
cana-1311	425	19	c.	c.	PROPN
cana-1311	425	20	,	,	PUNCT
cana-1311	425	21	shrestha	shrestha	PROPN
cana-1311	425	22	,	,	PUNCT
cana-1311	425	23	s.	s.	PROPN
cana-1311	425	24	,	,	PUNCT
cana-1311	425	25	&	&	CCONJ
cana-1311	425	26	kedam	kedam	PROPN
cana-1311	425	27	,	,	PUNCT
cana-1311	425	28	g.	g.	PROPN
cana-1311	425	29	(	(	PUNCT
cana-1311	425	30	2019	2019	NUM
cana-1311	425	31	)	)	PUNCT
cana-1311	425	32	.	.	PUNCT
cana-1311	426	1	a	a	DET
cana-1311	426	2	machine	machine	NOUN
cana-1311	426	3	learning	learn	VERB
cana-1311	426	4	model	model	NOUN
cana-1311	426	5	for	for	ADP
cana-1311	426	6	air	air	NOUN
cana-1311	426	7	quality	quality	NOUN
cana-1311	426	8	prediction	prediction	NOUN
cana-1311	426	9	for	for	ADP
cana-1311	426	10	smart	smart	ADJ
cana-1311	426	11	cities	city	NOUN
cana-1311	426	12	.	.	PUNCT
cana-1311	427	1	2019	2019	NUM
cana-1311	427	2	international	international	ADJ
cana-1311	427	3	conference	conference	NOUN
cana-1311	427	4	on	on	ADP
cana-1311	427	5	wireless	wireless	ADJ
cana-1311	427	6	communications	communication	NOUN
cana-1311	427	7	signal	signal	NOUN
cana-1311	427	8	processing	processing	NOUN
cana-1311	427	9	and	and	CCONJ
cana-1311	427	10	networking	networking	NOUN
cana-1311	427	11	(	(	PUNCT
cana-1311	427	12	wispnet	wispnet	NOUN
cana-1311	427	13	)	)	PUNCT
cana-1311	427	14	,	,	PUNCT
cana-1311	427	15	452–457	452–457	NUM
cana-1311	427	16	.	.	PUNCT
cana-1311	428	1	https://doi.org/10.1109/wispnet45539.2019.9032734	https://doi.org/10.1109/wispnet45539.2019.9032734	PRON
cana-1311	429	1	[	[	X
cana-1311	429	2	34	34	NUM
cana-1311	429	3	]	]	SYM
cana-1311	429	4	maynard	maynard	NOUN
cana-1311	429	5	,	,	PUNCT
cana-1311	429	6	r.	r.	PROPN
cana-1311	429	7	(	(	PUNCT
cana-1311	429	8	2004	2004	NUM
cana-1311	429	9	)	)	PUNCT
cana-1311	429	10	.	.	PUNCT
cana-1311	430	1	key	key	ADJ
cana-1311	430	2	airborne	airborne	ADJ
cana-1311	430	3	pollutants	pollutant	NOUN
cana-1311	430	4	—	—	PUNCT
cana-1311	430	5	the	the	DET
cana-1311	430	6	impact	impact	NOUN
cana-1311	430	7	on	on	ADP
cana-1311	430	8	health	health	NOUN
cana-1311	430	9	.	.	PUNCT
cana-1311	431	1	science	science	NOUN
cana-1311	431	2	of	of	ADP
cana-1311	431	3	the	the	DET
cana-1311	431	4	total	total	ADJ
cana-1311	431	5	environment	environment	NOUN
cana-1311	431	6	,	,	PUNCT
cana-1311	431	7	334–335	334–335	NUM
cana-1311	431	8	,	,	PUNCT
cana-1311	431	9	9–13	9–13	NOUN
cana-1311	431	10	.	.	PUNCT
cana-1311	432	1	https://doi.org/10.1016/j.scitotenv.2004.04.025	https://doi.org/10.1016/j.scitotenv.2004.04.025	PROPN
cana-1311	432	2	[	[	PUNCT
cana-1311	432	3	35	35	NUM
cana-1311	432	4	]	]	X
cana-1311	432	5	mchale	mchale	PROPN
cana-1311	432	6	,	,	PUNCT
cana-1311	432	7	c.	c.	PROPN
cana-1311	432	8	m.	m.	PROPN
cana-1311	432	9	,	,	PUNCT
cana-1311	432	10	zhang	zhang	PROPN
cana-1311	432	11	,	,	PUNCT
cana-1311	432	12	l.	l.	PROPN
cana-1311	432	13	,	,	PUNCT
cana-1311	432	14	&	&	CCONJ
cana-1311	432	15	smith	smith	PROPN
cana-1311	432	16	,	,	PUNCT
cana-1311	432	17	m.	m.	NOUN
cana-1311	432	18	t.	t.	PROPN
cana-1311	432	19	(	(	PUNCT
cana-1311	432	20	2012	2012	NUM
cana-1311	432	21	)	)	PUNCT
cana-1311	432	22	.	.	PUNCT
cana-1311	433	1	current	current	ADJ
cana-1311	433	2	understanding	understanding	NOUN
cana-1311	433	3	of	of	ADP
cana-1311	433	4	the	the	DET
cana-1311	433	5	mechanism	mechanism	NOUN
cana-1311	433	6	of	of	ADP
cana-1311	433	7	benzene	benzene	NOUN
cana-1311	433	8	-	-	PUNCT
cana-1311	433	9	induced	induce	VERB
cana-1311	433	10	leukemia	leukemia	NOUN
cana-1311	433	11	in	in	ADP
cana-1311	433	12	humans	human	NOUN
cana-1311	433	13	:	:	PUNCT
cana-1311	433	14	implications	implication	NOUN
cana-1311	433	15	for	for	ADP
cana-1311	433	16	risk	risk	NOUN
cana-1311	433	17	assessment	assessment	NOUN
cana-1311	433	18	.	.	PUNCT
cana-1311	434	1	carcinogenesis	carcinogenesis	NOUN
cana-1311	434	2	,	,	PUNCT
cana-1311	434	3	33(2	33(2	NUM
cana-1311	434	4	)	)	PUNCT
cana-1311	434	5	,	,	PUNCT
cana-1311	434	6	240–252	240–252	NUM
cana-1311	434	7	.	.	PUNCT
cana-1311	435	1	https://doi.org/10.1093/carcin/bgr297	https://doi.org/10.1093/carcin/bgr297	NOUN
cana-1311	436	1	[	[	X
cana-1311	436	2	36	36	NUM
cana-1311	436	3	]	]	PUNCT
cana-1311	436	4	medhi	medhi	PROPN
cana-1311	436	5	,	,	PUNCT
cana-1311	436	6	s.	s.	PROPN
cana-1311	436	7	,	,	PUNCT
cana-1311	436	8	&	&	CCONJ
cana-1311	436	9	gogoi	gogoi	PROPN
cana-1311	436	10	,	,	PUNCT
cana-1311	436	11	m.	m.	NOUN
cana-1311	436	12	(	(	PUNCT
cana-1311	436	13	2021	2021	NUM
cana-1311	436	14	)	)	PUNCT
cana-1311	436	15	.	.	PUNCT
cana-1311	437	1	visualization	visualization	NOUN
cana-1311	437	2	and	and	CCONJ
cana-1311	437	3	analysis	analysis	NOUN
cana-1311	437	4	of	of	ADP
cana-1311	437	5	covid-19	covid-19	PROPN
cana-1311	437	6	impact	impact	NOUN
cana-1311	437	7	on	on	ADP
cana-1311	437	8	pm2.5	pm2.5	DET
cana-1311	437	9	concentration	concentration	NOUN
cana-1311	437	10	in	in	ADP
cana-1311	437	11	guwahati	guwahati	PROPN
cana-1311	437	12	city	city	PROPN
cana-1311	437	13	.	.	PUNCT
cana-1311	438	1	2021	2021	NUM
cana-1311	438	2	international	international	ADJ
cana-1311	438	3	conference	conference	NOUN
cana-1311	438	4	on	on	ADP
cana-1311	438	5	computational	computational	ADJ
cana-1311	438	6	performance	performance	NOUN
cana-1311	438	7	evaluation	evaluation	NOUN
cana-1311	438	8	(	(	PUNCT
cana-1311	438	9	compe	compe	NOUN
cana-1311	438	10	)	)	PUNCT
cana-1311	438	11	,	,	PUNCT
cana-1311	438	12	012–016	012–016	NUM
cana-1311	438	13	.	.	PUNCT
cana-1311	438	14	https://doi.org/10.1109/compe53109.2021.9752244	https://doi.org/10.1109/compe53109.2021.9752244	NOUN
cana-1311	439	1	[	[	X
cana-1311	439	2	37	37	NUM
cana-1311	439	3	]	]	X
cana-1311	439	4	naaqs_2019.pdf	naaqs_2019.pdf	PROPN
cana-1311	439	5	.	.	PUNCT
cana-1311	440	1	(	(	PUNCT
cana-1311	440	2	n.d	n.d	PROPN
cana-1311	440	3	.	.	PROPN
cana-1311	440	4	)	)	PUNCT
cana-1311	440	5	.	.	PUNCT
cana-1311	441	1	retrieved	retrieve	VERB
cana-1311	441	2	june	june	PROPN
cana-1311	441	3	1	1	NUM
cana-1311	441	4	,	,	PUNCT
cana-1311	441	5	2024	2024	NUM
cana-1311	441	6	,	,	PUNCT
cana-1311	441	7	from	from	ADP
cana-1311	441	8	https://cpcb.nic.in/upload/naaqs_2019.pdf	https://cpcb.nic.in/upload/naaqs_2019.pdf	NOUN
cana-1311	441	9	[	[	X
cana-1311	441	10	38	38	NUM
cana-1311	441	11	]	]	PUNCT
cana-1311	441	12	njoku	njoku	NOUN
cana-1311	441	13	,	,	PUNCT
cana-1311	441	14	o.	o.	NOUN
cana-1311	441	15	(	(	PUNCT
cana-1311	441	16	2019	2019	NUM
cana-1311	441	17	)	)	PUNCT
cana-1311	441	18	.	.	PUNCT
cana-1311	442	1	decision	decision	NOUN
cana-1311	442	2	trees	tree	NOUN
cana-1311	442	3	and	and	CCONJ
cana-1311	442	4	their	their	PRON
cana-1311	442	5	application	application	NOUN
cana-1311	442	6	for	for	ADP
cana-1311	442	7	classification	classification	NOUN
cana-1311	442	8	and	and	CCONJ
cana-1311	442	9	regression	regression	NOUN
cana-1311	442	10	problems	problem	NOUN
cana-1311	442	11	.	.	PUNCT
cana-1311	443	1	msu	msu	PROPN
cana-1311	443	2	graduate	graduate	PROPN
cana-1311	443	3	theses	theses	PROPN
cana-1311	443	4	.	.	PUNCT
cana-1311	444	1	https://bearworks.missouristate.edu/theses/3406	https://bearworks.missouristate.edu/theses/3406	PROPN
cana-1311	444	2	[	[	X
cana-1311	444	3	39	39	NUM
cana-1311	444	4	]	]	PUNCT
cana-1311	444	5	organization	organization	NOUN
cana-1311	444	6	,	,	PUNCT
cana-1311	444	7	w.	w.	PROPN
cana-1311	444	8	h.	h.	PROPN
cana-1311	444	9	(	(	PUNCT
cana-1311	444	10	2006	2006	NUM
cana-1311	444	11	)	)	PUNCT
cana-1311	444	12	.	.	PUNCT
cana-1311	445	1	who	who	PRON
cana-1311	445	2	.	.	PUNCT
cana-1311	445	3	air	air	NOUN
cana-1311	445	4	quality	quality	NOUN
cana-1311	445	5	guidelines	guideline	NOUN
cana-1311	445	6	for	for	ADP
cana-1311	445	7	particulate	particulate	NOUN
cana-1311	445	8	matter	matter	NOUN
cana-1311	445	9	,	,	PUNCT
cana-1311	445	10	ozone	ozone	NOUN
cana-1311	445	11	,	,	PUNCT
cana-1311	445	12	nitrogen	nitrogen	NOUN
cana-1311	445	13	dioxide	dioxide	NOUN
cana-1311	445	14	and	and	CCONJ
cana-1311	445	15	sulphur	sulphur	NOUN
cana-1311	445	16	dioxide	dioxide	NOUN
cana-1311	445	17	.	.	PUNCT
cana-1311	446	1	global	global	ADJ
cana-1311	446	2	update	update	NOUN
cana-1311	446	3	2005	2005	NUM
cana-1311	446	4	.	.	PUNCT
cana-1311	447	1	world	world	PROPN
cana-1311	447	2	health	health	PROPN
cana-1311	447	3	organization	organization	PROPN
cana-1311	447	4	.	.	PUNCT
cana-1311	448	1	available	available	ADJ
cana-1311	448	2	from	from	ADP
cana-1311	448	3	:	:	PUNCT
cana-1311	448	4	http://www	http://www	PROPN
cana-1311	448	5	.	.	PROPN
cana-1311	448	6	euro	euro	PROPN
cana-1311	448	7	.	.	PUNCT
cana-1311	449	1	who	who	PRON
cana-1311	449	2	.	.	PUNCT
cana-1311	449	3	int/__data	int/__data	NOUN
cana-1311	449	4	/	/	SYM
cana-1311	449	5	assets	asset	NOUN
cana-1311	449	6	/	/	SYM
cana-1311	449	7	pdf_file/0005/786	pdf_file/0005/786	PROPN
cana-1311	449	8	,	,	PUNCT
cana-1311	449	9	38	38	NUM
cana-1311	449	10	,	,	PUNCT
cana-1311	449	11	e90038	e90038	PROPN
cana-1311	449	12	.	.	PUNCT
cana-1311	449	13	communications	communication	NOUN
cana-1311	449	14	on	on	ADP
cana-1311	449	15	applied	apply	VERB
cana-1311	449	16	nonlinear	nonlinear	ADJ
cana-1311	449	17	analysis	analysis	NOUN
cana-1311	449	18	issn	issn	NOUN
cana-1311	449	19	:	:	PUNCT
cana-1311	449	20	1074	1074	NUM
cana-1311	449	21	-	-	PUNCT
cana-1311	449	22	133x	133x	NUM
cana-1311	449	23	vol	vol	NOUN
cana-1311	449	24	31	31	NUM
cana-1311	449	25	no	no	NOUN
cana-1311	449	26	.	.	PUNCT
cana-1311	450	1	7s	7	NOUN
cana-1311	450	2	(	(	PUNCT
cana-1311	450	3	2024	2024	NUM
cana-1311	450	4	)	)	PUNCT
cana-1311	450	5	348	348	NUM
cana-1311	450	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1311	451	1	[	[	X
cana-1311	451	2	40	40	NUM
cana-1311	451	3	]	]	X
cana-1311	451	4	parthiban	parthiban	NOUN
cana-1311	451	5	,	,	PUNCT
cana-1311	451	6	s.	s.	PROPN
cana-1311	451	7	and	and	CCONJ
cana-1311	451	8	gajivaradhan	gajivaradhan	PROPN
cana-1311	451	9	,	,	PUNCT
cana-1311	451	10	p.	p.	NOUN
cana-1311	451	11	,	,	PUNCT
cana-1311	451	12	a	a	DET
cana-1311	451	13	comparative	comparative	ADJ
cana-1311	451	14	study	study	NOUN
cana-1311	451	15	of	of	ADP
cana-1311	451	16	statistical	statistical	ADJ
cana-1311	451	17	hypothesis	hypothesis	NOUN
cana-1311	451	18	test	test	NOUN
cana-1311	451	19	for	for	ADP
cana-1311	451	20	2	2	NUM
cana-1311	451	21	2	2	NUM
cana-1311	451	22	factorial	factorial	ADJ
cana-1311	451	23	experiments	experiment	NOUN
cana-1311	451	24	under	under	ADP
cana-1311	451	25	fuzzy	fuzzy	ADJ
cana-1311	451	26	environments	environment	NOUN
cana-1311	451	27	,	,	PUNCT
cana-1311	451	28	bulletin	bulletin	NOUN
cana-1311	451	29	of	of	ADP
cana-1311	451	30	mathematics	mathematic	NOUN
cana-1311	451	31	and	and	CCONJ
cana-1311	451	32	statistics	statistic	NOUN
cana-1311	451	33	research	research	NOUN
cana-1311	451	34	,	,	PUNCT
cana-1311	451	35	vol	vol	NOUN
cana-1311	451	36	.	.	PROPN
cana-1311	451	37	4	4	NUM
cana-1311	451	38	,	,	PUNCT
cana-1311	451	39	issue	issue	NOUN
cana-1311	451	40	:	:	PUNCT
cana-1311	451	41	1	1	NUM
cana-1311	451	42	,	,	PUNCT
cana-1311	451	43	(	(	PUNCT
cana-1311	451	44	january	january	PROPN
cana-1311	451	45	-	-	PUNCT
cana-1311	451	46	march	march	PROPN
cana-1311	451	47	2016	2016	NUM
cana-1311	451	48	)	)	PUNCT
cana-1311	451	49	,	,	PUNCT
cana-1311	451	50	pp	pp	PROPN
cana-1311	451	51	.	.	PUNCT
cana-1311	452	1	46	46	NUM
cana-1311	452	2	-	-	SYM
cana-1311	452	3	70	70	NUM
cana-1311	452	4	.	.	PUNCT
cana-1311	453	1	[	[	X
cana-1311	453	2	41	41	NUM
cana-1311	453	3	]	]	X
cana-1311	453	4	http://www.bomsr.com/4.1.16/46-70%20p.%20gajivaradhan.pdf	http://www.bomsr.com/4.1.16/46-70%20p.%20gajivaradhan.pdf	X
cana-1311	453	5	[	[	X
cana-1311	453	6	42	42	NUM
cana-1311	453	7	]	]	X
cana-1311	453	8	parthiban	parthiban	NOUN
cana-1311	453	9	,	,	PUNCT
cana-1311	453	10	s.	s.	PROPN
cana-1311	453	11	and	and	CCONJ
cana-1311	453	12	gajivaradhan	gajivaradhan	PROPN
cana-1311	453	13	,	,	PUNCT
cana-1311	453	14	p.	p.	NOUN
cana-1311	453	15	,	,	PUNCT
cana-1311	453	16	statistical	statistical	ADJ
cana-1311	453	17	hypothesis	hypothesis	NOUN
cana-1311	453	18	test	test	NOUN
cana-1311	453	19	in	in	ADP
cana-1311	453	20	three	three	NUM
cana-1311	453	21	factor	factor	NOUN
cana-1311	453	22	anova	anova	PROPN
cana-1311	453	23	model	model	PROPN
cana-1311	453	24	under	under	ADP
cana-1311	453	25	fuzzy	fuzzy	ADJ
cana-1311	453	26	environments	environment	NOUN
cana-1311	453	27	using	use	VERB
cana-1311	453	28	trapezoidal	trapezoidal	ADJ
cana-1311	453	29	fuzzy	fuzzy	ADJ
cana-1311	453	30	numbers	number	NOUN
cana-1311	453	31	,	,	PUNCT
cana-1311	453	32	bulletin	bulletin	NOUN
cana-1311	453	33	of	of	ADP
cana-1311	453	34	mathematical	mathematical	ADJ
cana-1311	453	35	sciences	science	NOUN
cana-1311	453	36	and	and	CCONJ
cana-1311	453	37	applications	application	NOUN
cana-1311	453	38	,	,	PUNCT
cana-1311	453	39	vol	vol	NOUN
cana-1311	453	40	.	.	PROPN
cana-1311	453	41	14	14	NUM
cana-1311	453	42	,	,	PUNCT
cana-1311	453	43	(	(	PUNCT
cana-1311	453	44	2016	2016	NUM
cana-1311	453	45	)	)	PUNCT
cana-1311	453	46	,	,	PUNCT
cana-1311	453	47	pp	pp	PROPN
cana-1311	453	48	.	.	PUNCT
cana-1311	453	49	23	23	NUM
cana-1311	453	50	-	-	SYM
cana-1311	453	51	42	42	NUM
cana-1311	453	52	.	.	PUNCT
cana-1311	454	1	[	[	X
cana-1311	454	2	43	43	NUM
cana-1311	454	3	]	]	PUNCT
cana-1311	454	4	https://www.scipress.com/bmsa.14.23	https://www.scipress.com/bmsa.14.23	PROPN
cana-1311	454	5	[	[	X
cana-1311	454	6	44	44	NUM
cana-1311	454	7	]	]	PUNCT
cana-1311	454	8	parthiban	parthiban	NOUN
cana-1311	454	9	,	,	PUNCT
cana-1311	454	10	s.	s.	PROPN
cana-1311	454	11	and	and	CCONJ
cana-1311	454	12	gopinathan	gopinathan	PROPN
cana-1311	454	13	,	,	PUNCT
cana-1311	454	14	p.	p.	NOUN
cana-1311	454	15	,	,	PUNCT
cana-1311	454	16	statistical	statistical	ADJ
cana-1311	454	17	hypothesis	hypothesis	NOUN
cana-1311	454	18	on	on	ADP
cana-1311	454	19	industrial	industrial	ADJ
cana-1311	454	20	applications	application	NOUN
cana-1311	454	21	through	through	ADP
cana-1311	454	22	ranks	rank	NOUN
cana-1311	454	23	from	from	ADP
cana-1311	454	24	cog	cog	PROPN
cana-1311	454	25	of	of	ADP
cana-1311	454	26	trfns	trfns	PROPN
cana-1311	454	27	,	,	PUNCT
cana-1311	454	28	international	international	ADJ
cana-1311	454	29	journal	journal	NOUN
cana-1311	454	30	of	of	ADP
cana-1311	454	31	recent	recent	ADJ
cana-1311	454	32	technology	technology	NOUN
cana-1311	454	33	and	and	CCONJ
cana-1311	454	34	engineering	engineering	NOUN
cana-1311	454	35	(	(	PUNCT
cana-1311	454	36	ijrte	ijrte	NOUN
cana-1311	454	37	)	)	PUNCT
cana-1311	454	38	,	,	PUNCT
cana-1311	454	39	vol	vol	NOUN
cana-1311	454	40	.	.	PROPN
cana-1311	454	41	6	6	NUM
cana-1311	454	42	,	,	PUNCT
cana-1311	454	43	issue	issue	NOUN
cana-1311	454	44	:	:	PUNCT
cana-1311	454	45	1s4	1s4	NUM
cana-1311	454	46	,	,	PUNCT
cana-1311	454	47	(	(	PUNCT
cana-1311	454	48	june	june	PROPN
cana-1311	454	49	2019	2019	NUM
cana-1311	454	50	)	)	PUNCT
cana-1311	454	51	,	,	PUNCT
cana-1311	455	1	pp	pp	PROPN
cana-1311	455	2	.	.	PUNCT
cana-1311	456	1	1116	1116	NUM
cana-1311	456	2	-	-	SYM
cana-1311	456	3	1118	1118	NUM
cana-1311	456	4	.	.	PUNCT
cana-1311	457	1	[	[	X
cana-1311	457	2	45	45	NUM
cana-1311	457	3	]	]	SYM
cana-1311	457	4	https://www.ijrte.org/download/volume-8-issue-1s4/	https://www.ijrte.org/download/volume-8-issue-1s4/	NOUN
cana-1311	457	5	[	[	X
cana-1311	457	6	46	46	NUM
cana-1311	457	7	]	]	PUNCT
cana-1311	457	8	ravindiran	ravindiran	NOUN
cana-1311	457	9	,	,	PUNCT
cana-1311	457	10	g.	g.	PROPN
cana-1311	457	11	,	,	PUNCT
cana-1311	457	12	hayder	hayder	PROPN
cana-1311	457	13	,	,	PUNCT
cana-1311	457	14	g.	g.	PROPN
cana-1311	457	15	,	,	PUNCT
cana-1311	457	16	kanagarathinam	kanagarathinam	PROPN
cana-1311	457	17	,	,	PUNCT
cana-1311	457	18	k.	k.	PROPN
cana-1311	457	19	,	,	PUNCT
cana-1311	457	20	alagumalai	alagumalai	PROPN
cana-1311	457	21	,	,	PUNCT
cana-1311	457	22	a.	a.	PROPN
cana-1311	457	23	,	,	PUNCT
cana-1311	457	24	&	&	CCONJ
cana-1311	457	25	sonne	sonne	NOUN
cana-1311	457	26	,	,	PUNCT
cana-1311	457	27	c.	c.	PROPN
cana-1311	457	28	(	(	PUNCT
cana-1311	457	29	2023	2023	NUM
cana-1311	457	30	)	)	PUNCT
cana-1311	457	31	.	.	PUNCT
cana-1311	458	1	air	air	NOUN
cana-1311	458	2	quality	quality	NOUN
cana-1311	458	3	prediction	prediction	NOUN
cana-1311	458	4	by	by	ADP
cana-1311	458	5	machine	machine	NOUN
cana-1311	458	6	learning	learning	NOUN
cana-1311	458	7	models	model	NOUN
cana-1311	458	8	:	:	PUNCT
cana-1311	458	9	a	a	DET
cana-1311	458	10	predictive	predictive	ADJ
cana-1311	458	11	study	study	NOUN
cana-1311	458	12	on	on	ADP
cana-1311	458	13	the	the	DET
cana-1311	458	14	indian	indian	ADJ
cana-1311	458	15	coastal	coastal	ADJ
cana-1311	458	16	city	city	NOUN
cana-1311	458	17	of	of	ADP
cana-1311	458	18	visakhapatnam	visakhapatnam	PROPN
cana-1311	458	19	.	.	PUNCT
cana-1311	459	1	chemosphere	chemosphere	PROPN
cana-1311	459	2	,	,	PUNCT
cana-1311	459	3	338	338	NUM
cana-1311	459	4	,	,	PUNCT
cana-1311	459	5	139518	139518	NUM
cana-1311	459	6	.	.	PUNCT
cana-1311	460	1	https://doi.org/10.1016/j.chemosphere.2023.139518	https://doi.org/10.1016/j.chemosphere.2023.139518	PROPN
cana-1311	460	2	[	[	X
cana-1311	460	3	47	47	NUM
cana-1311	460	4	]	]	PUNCT
cana-1311	460	5	saikiran	saikiran	ADJ
cana-1311	460	6	,	,	PUNCT
cana-1311	460	7	k.	k.	PROPN
cana-1311	460	8	,	,	PUNCT
cana-1311	460	9	lithesh	lithesh	INTJ
cana-1311	460	10	,	,	PUNCT
cana-1311	460	11	g.	g.	PROPN
cana-1311	460	12	,	,	PUNCT
cana-1311	460	13	srinivas	srinivas	PROPN
cana-1311	460	14	,	,	PUNCT
cana-1311	460	15	b.	b.	PROPN
cana-1311	460	16	,	,	PUNCT
cana-1311	460	17	&	&	CCONJ
cana-1311	460	18	ashok	ashok	PROPN
cana-1311	460	19	,	,	PUNCT
cana-1311	460	20	s.	s.	PROPN
cana-1311	460	21	(	(	PUNCT
cana-1311	460	22	2021	2021	NUM
cana-1311	460	23	)	)	PUNCT
cana-1311	460	24	.	.	PUNCT
cana-1311	461	1	prediction	prediction	NOUN
cana-1311	461	2	of	of	ADP
cana-1311	461	3	air	air	NOUN
cana-1311	461	4	quality	quality	NOUN
cana-1311	461	5	index	index	NOUN
cana-1311	461	6	using	use	VERB
cana-1311	461	7	supervised	supervised	ADJ
cana-1311	461	8	machine	machine	NOUN
cana-1311	461	9	learning	learning	NOUN
cana-1311	461	10	algorithms	algorithm	NOUN
cana-1311	461	11	.	.	PUNCT
cana-1311	462	1	2021	2021	NUM
cana-1311	462	2	2nd	2nd	ADJ
cana-1311	462	3	international	international	ADJ
cana-1311	462	4	conference	conference	NOUN
cana-1311	462	5	on	on	ADP
cana-1311	462	6	advances	advance	NOUN
cana-1311	462	7	in	in	ADP
cana-1311	462	8	computing	computing	NOUN
cana-1311	462	9	,	,	PUNCT
cana-1311	462	10	communication	communication	NOUN
cana-1311	462	11	,	,	PUNCT
cana-1311	462	12	embedded	embed	VERB
cana-1311	462	13	and	and	CCONJ
cana-1311	462	14	secure	secure	ADJ
cana-1311	462	15	systems	system	NOUN
cana-1311	462	16	(	(	PUNCT
cana-1311	462	17	access	access	NOUN
cana-1311	462	18	)	)	PUNCT
cana-1311	462	19	,	,	PUNCT
cana-1311	462	20	1–4	1–4	PROPN
cana-1311	462	21	.	.	PROPN
cana-1311	462	22	https://doi.org/10.1109/access51619.2021.9563323	https://doi.org/10.1109/access51619.2021.9563323	PROPN
cana-1311	463	1	[	[	X
cana-1311	463	2	48	48	NUM
cana-1311	463	3	]	]	X
cana-1311	463	4	seo	seo	NOUN
cana-1311	463	5	,	,	PUNCT
cana-1311	463	6	d.	d.	PROPN
cana-1311	463	7	,	,	PUNCT
cana-1311	463	8	kim	kim	PROPN
cana-1311	463	9	,	,	PUNCT
cana-1311	463	10	y.	y.	PROPN
cana-1311	463	11	,	,	PUNCT
cana-1311	463	12	eo	eo	PROPN
cana-1311	463	13	,	,	PUNCT
cana-1311	463	14	y.	y.	PROPN
cana-1311	463	15	,	,	PUNCT
cana-1311	463	16	park	park	PROPN
cana-1311	463	17	,	,	PUNCT
cana-1311	463	18	w.	w.	PROPN
cana-1311	463	19	,	,	PUNCT
cana-1311	463	20	&	&	CCONJ
cana-1311	463	21	park	park	PROPN
cana-1311	463	22	,	,	PUNCT
cana-1311	463	23	h.	h.	PROPN
cana-1311	463	24	(	(	PUNCT
cana-1311	463	25	2017	2017	NUM
cana-1311	463	26	)	)	PUNCT
cana-1311	463	27	.	.	PUNCT
cana-1311	464	1	generation	generation	NOUN
cana-1311	464	2	of	of	ADP
cana-1311	464	3	radiometric	radiometric	NOUN
cana-1311	464	4	,	,	PUNCT
cana-1311	464	5	phenological	phenological	ADJ
cana-1311	464	6	normalized	normalize	VERB
cana-1311	464	7	image	image	NOUN
cana-1311	464	8	based	base	VERB
cana-1311	464	9	on	on	ADP
cana-1311	464	10	random	random	ADJ
cana-1311	464	11	forest	forest	NOUN
cana-1311	464	12	regression	regression	NOUN
cana-1311	464	13	for	for	ADP
cana-1311	464	14	change	change	NOUN
cana-1311	464	15	detection	detection	NOUN
cana-1311	464	16	.	.	PUNCT
cana-1311	465	1	remote	remote	ADJ
cana-1311	465	2	sensing	sensing	NOUN
cana-1311	465	3	,	,	PUNCT
cana-1311	465	4	9(11	9(11	NUM
cana-1311	465	5	)	)	PUNCT
cana-1311	465	6	,	,	PUNCT
cana-1311	465	7	1163	1163	NUM
cana-1311	465	8	.	.	PUNCT
cana-1311	465	9	https://doi.org/10.3390/rs9111163	https://doi.org/10.3390/rs9111163	X
cana-1311	466	1	[	[	X
cana-1311	466	2	49	49	NUM
cana-1311	466	3	]	]	PUNCT
cana-1311	466	4	shataee	shataee	PROPN
cana-1311	466	5	,	,	PUNCT
cana-1311	466	6	s.	s.	PROPN
cana-1311	466	7	,	,	PUNCT
cana-1311	466	8	kalbi	kalbi	PROPN
cana-1311	466	9	,	,	PUNCT
cana-1311	466	10	s.	s.	PROPN
cana-1311	466	11	,	,	PUNCT
cana-1311	466	12	fallah	fallah	PROPN
cana-1311	466	13	,	,	PUNCT
cana-1311	466	14	a.	a.	NOUN
cana-1311	466	15	,	,	PUNCT
cana-1311	466	16	&	&	CCONJ
cana-1311	466	17	pelz	pelz	PROPN
cana-1311	466	18	,	,	PUNCT
cana-1311	466	19	d.	d.	PROPN
cana-1311	466	20	(	(	PUNCT
cana-1311	466	21	2012	2012	NUM
cana-1311	466	22	)	)	PUNCT
cana-1311	466	23	.	.	PUNCT
cana-1311	467	1	forest	forest	NOUN
cana-1311	467	2	attribute	attribute	NOUN
cana-1311	467	3	imputation	imputation	NOUN
cana-1311	467	4	using	use	VERB
cana-1311	467	5	machine	machine	NOUN
cana-1311	467	6	-	-	PUNCT
cana-1311	467	7	learning	learn	VERB
cana-1311	467	8	methods	method	NOUN
cana-1311	467	9	and	and	CCONJ
cana-1311	467	10	aster	aster	NOUN
cana-1311	467	11	data	datum	NOUN
cana-1311	467	12	:	:	PUNCT
cana-1311	467	13	comparison	comparison	NOUN
cana-1311	467	14	of	of	ADP
cana-1311	467	15	k	k	PROPN
cana-1311	467	16	-nn	-nn	PROPN
cana-1311	467	17	,	,	PUNCT
cana-1311	467	18	svr	svr	PROPN
cana-1311	467	19	and	and	CCONJ
cana-1311	467	20	random	random	ADJ
cana-1311	467	21	forest	forest	NOUN
cana-1311	467	22	regression	regression	NOUN
cana-1311	467	23	algorithms	algorithm	NOUN
cana-1311	467	24	.	.	PUNCT
cana-1311	468	1	international	international	ADJ
cana-1311	468	2	journal	journal	NOUN
cana-1311	468	3	of	of	ADP
cana-1311	468	4	remote	remote	ADJ
cana-1311	468	5	sensing	sensing	NOUN
cana-1311	468	6	,	,	PUNCT
cana-1311	468	7	33(19	33(19	PROPN
cana-1311	468	8	)	)	PUNCT
cana-1311	468	9	,	,	PUNCT
cana-1311	468	10	6254–6280	6254–6280	NUM
cana-1311	468	11	.	.	PUNCT
cana-1311	469	1	https://doi.org/10.1080/01431161.2012.682661	https://doi.org/10.1080/01431161.2012.682661	PROPN
cana-1311	470	1	[	[	X
cana-1311	470	2	50	50	NUM
cana-1311	470	3	]	]	PUNCT
cana-1311	470	4	sicard	sicard	NOUN
cana-1311	470	5	,	,	PUNCT
cana-1311	470	6	p.	p.	NOUN
cana-1311	470	7	,	,	PUNCT
cana-1311	470	8	lesne	lesne	NOUN
cana-1311	470	9	,	,	PUNCT
cana-1311	470	10	o.	o.	PROPN
cana-1311	470	11	,	,	PUNCT
cana-1311	470	12	alexandre	alexandre	PROPN
cana-1311	470	13	,	,	PUNCT
cana-1311	470	14	n.	n.	NOUN
cana-1311	470	15	,	,	PUNCT
cana-1311	470	16	mangin	mangin	NOUN
cana-1311	470	17	,	,	PUNCT
cana-1311	470	18	a.	a.	NOUN
cana-1311	470	19	,	,	PUNCT
cana-1311	470	20	&	&	CCONJ
cana-1311	470	21	collomp	collomp	PROPN
cana-1311	470	22	,	,	PUNCT
cana-1311	470	23	r.	r.	PROPN
cana-1311	470	24	(	(	PUNCT
cana-1311	470	25	2011	2011	NUM
cana-1311	470	26	)	)	PUNCT
cana-1311	470	27	.	.	PUNCT
cana-1311	471	1	air	air	NOUN
cana-1311	471	2	quality	quality	NOUN
cana-1311	471	3	trends	trend	NOUN
cana-1311	471	4	and	and	CCONJ
cana-1311	471	5	potential	potential	ADJ
cana-1311	471	6	health	health	NOUN
cana-1311	471	7	effects	effect	NOUN
cana-1311	471	8	–	–	PUNCT
cana-1311	471	9	development	development	NOUN
cana-1311	471	10	of	of	ADP
cana-1311	471	11	an	an	DET
cana-1311	471	12	aggregate	aggregate	ADJ
cana-1311	471	13	risk	risk	NOUN
cana-1311	471	14	index	index	NOUN
cana-1311	471	15	.	.	PUNCT
cana-1311	472	1	atmospheric	atmospheric	ADJ
cana-1311	472	2	environment	environment	PROPN
cana-1311	472	3	,	,	PUNCT
cana-1311	472	4	45(5	45(5	PROPN
cana-1311	472	5	)	)	PUNCT
cana-1311	472	6	,	,	PUNCT
cana-1311	472	7	1145–1153	1145–1153	NUM
cana-1311	472	8	.	.	PUNCT
cana-1311	473	1	https://doi.org/10.1016/j.atmosenv.2010.12.052	https://doi.org/10.1016/j.atmosenv.2010.12.052	PROPN
cana-1311	474	1	[	[	X
cana-1311	474	2	51	51	NUM
cana-1311	474	3	]	]	X
cana-1311	474	4	singh	singh	PROPN
cana-1311	474	5	,	,	PUNCT
cana-1311	474	6	a.	a.	NOUN
cana-1311	474	7	,	,	PUNCT
cana-1311	474	8	n.	n.	NOUN
cana-1311	474	9	,	,	PUNCT
cana-1311	474	10	m.	m.	NOUN
cana-1311	474	11	,	,	PUNCT
cana-1311	474	12	&	&	CCONJ
cana-1311	474	13	lakshmiganthan	lakshmiganthan	PROPN
cana-1311	474	14	,	,	PUNCT
cana-1311	474	15	r.	r.	PROPN
cana-1311	474	16	(	(	PUNCT
cana-1311	474	17	2017	2017	NUM
cana-1311	474	18	)	)	PUNCT
cana-1311	474	19	.	.	PUNCT
cana-1311	475	1	impact	impact	NOUN
cana-1311	475	2	of	of	ADP
cana-1311	475	3	different	different	ADJ
cana-1311	475	4	data	datum	NOUN
cana-1311	475	5	types	type	NOUN
cana-1311	475	6	on	on	ADP
cana-1311	475	7	classifier	classifier	ADJ
cana-1311	475	8	performance	performance	NOUN
cana-1311	475	9	of	of	ADP
cana-1311	475	10	random	random	ADJ
cana-1311	475	11	forest	forest	NOUN
cana-1311	475	12	,	,	PUNCT
cana-1311	475	13	naïve	naïve	ADJ
cana-1311	475	14	bayes	bayes	NOUN
cana-1311	475	15	,	,	PUNCT
cana-1311	475	16	and	and	CCONJ
cana-1311	475	17	k	k	X
cana-1311	475	18	-	-	PUNCT
cana-1311	475	19	nearest	near	ADJ
cana-1311	475	20	neighbors	neighbor	NOUN
cana-1311	475	21	algorithms	algorithm	NOUN
cana-1311	475	22	.	.	PUNCT
cana-1311	476	1	international	international	ADJ
cana-1311	476	2	journal	journal	NOUN
cana-1311	476	3	of	of	ADP
cana-1311	476	4	advanced	advanced	ADJ
cana-1311	476	5	computer	computer	NOUN
cana-1311	476	6	science	science	NOUN
cana-1311	476	7	and	and	CCONJ
cana-1311	476	8	applications	application	NOUN
cana-1311	476	9	,	,	PUNCT
cana-1311	476	10	8(12	8(12	NUM
cana-1311	476	11	)	)	PUNCT
cana-1311	476	12	.	.	PUNCT
cana-1311	477	1	https://doi.org/10.14569/ijacsa.2017.081201	https://doi.org/10.14569/ijacsa.2017.081201	PROPN
cana-1311	477	2	[	[	X
cana-1311	477	3	52	52	NUM
cana-1311	477	4	]	]	PUNCT
cana-1311	477	5	soni	soni	PROPN
cana-1311	477	6	,	,	PUNCT
cana-1311	477	7	h.	h.	PROPN
cana-1311	477	8	b.	b.	PROPN
cana-1311	477	9	,	,	PUNCT
cana-1311	477	10	&	&	CCONJ
cana-1311	477	11	patel	patel	PROPN
cana-1311	477	12	,	,	PUNCT
cana-1311	477	13	j.	j.	PROPN
cana-1311	477	14	(	(	PUNCT
cana-1311	477	15	2018	2018	NUM
cana-1311	477	16	)	)	PUNCT
cana-1311	477	17	.	.	PUNCT
cana-1311	478	1	assessment	assessment	NOUN
cana-1311	478	2	of	of	ADP
cana-1311	478	3	ambient	ambient	ADJ
cana-1311	478	4	air	air	NOUN
cana-1311	478	5	quality	quality	NOUN
cana-1311	478	6	and	and	CCONJ
cana-1311	478	7	air	air	NOUN
cana-1311	478	8	quality	quality	NOUN
cana-1311	478	9	index	index	NOUN
cana-1311	478	10	in	in	ADP
cana-1311	478	11	golden	golden	ADJ
cana-1311	478	12	corridor	corridor	NOUN
cana-1311	478	13	of	of	ADP
cana-1311	478	14	gujarat	gujarat	PROPN
cana-1311	478	15	,	,	PUNCT
cana-1311	478	16	india	india	PROPN
cana-1311	478	17	:	:	PUNCT
cana-1311	478	18	a	a	DET
cana-1311	478	19	case	case	NOUN
cana-1311	478	20	study	study	NOUN
cana-1311	478	21	of	of	ADP
cana-1311	478	22	dahej	dahej	PROPN
cana-1311	478	23	port	port	NOUN
cana-1311	478	24	.	.	PUNCT
cana-1311	479	1	international	international	ADJ
cana-1311	479	2	journal	journal	PROPN
cana-1311	479	3	of	of	ADP
cana-1311	479	4	environment	environment	PROPN
cana-1311	479	5	,	,	PUNCT
cana-1311	479	6	6(4	6(4	NUM
cana-1311	479	7	)	)	PUNCT
cana-1311	479	8	,	,	PUNCT
cana-1311	479	9	28–41	28–41	NUM
cana-1311	479	10	.	.	PUNCT
cana-1311	480	1	https://doi.org/10.3126/ije.v6i4.18908	https://doi.org/10.3126/ije.v6i4.18908	PRON
cana-1311	481	1	[	[	X
cana-1311	481	2	53	53	NUM
cana-1311	481	3	]	]	X
cana-1311	481	4	teli	teli	PROPN
cana-1311	481	5	,	,	PUNCT
cana-1311	481	6	s.	s.	PROPN
cana-1311	481	7	,	,	PUNCT
cana-1311	481	8	&	&	CCONJ
cana-1311	481	9	kanikar	kanikar	PROPN
cana-1311	481	10	,	,	PUNCT
cana-1311	481	11	p.	p.	NOUN
cana-1311	481	12	(	(	PUNCT
cana-1311	481	13	2015	2015	NUM
cana-1311	481	14	)	)	PUNCT
cana-1311	481	15	.	.	PUNCT
cana-1311	482	1	a	a	DET
cana-1311	482	2	survey	survey	NOUN
cana-1311	482	3	on	on	ADP
cana-1311	482	4	decision	decision	NOUN
cana-1311	482	5	tree	tree	NOUN
cana-1311	482	6	-	-	PUNCT
cana-1311	482	7	based	base	VERB
cana-1311	482	8	approaches	approach	NOUN
cana-1311	482	9	in	in	ADP
cana-1311	482	10	data	datum	NOUN
cana-1311	482	11	mining	mining	NOUN
cana-1311	482	12	.	.	PUNCT
cana-1311	483	1	international	international	ADJ
cana-1311	483	2	journal	journal	PROPN
cana-1311	483	3	of	of	ADP
cana-1311	483	4	advanced	advanced	ADJ
cana-1311	483	5	research	research	NOUN
cana-1311	483	6	in	in	ADP
cana-1311	483	7	computer	computer	NOUN
cana-1311	483	8	science	science	NOUN
cana-1311	483	9	and	and	CCONJ
cana-1311	483	10	software	software	NOUN
cana-1311	483	11	engineering	engineering	NOUN
cana-1311	483	12	,	,	PUNCT
cana-1311	483	13	5(4	5(4	NUM
cana-1311	483	14	)	)	PUNCT
cana-1311	483	15	,	,	PUNCT
cana-1311	483	16	613–617	613–617	NUM
cana-1311	483	17	.	.	PUNCT
cana-1311	484	1	[	[	X
cana-1311	484	2	54	54	NUM
cana-1311	484	3	]	]	X
cana-1311	484	4	upadhyay	upadhyay	PROPN
cana-1311	484	5	,	,	PUNCT
cana-1311	484	6	s.	s.	PROPN
cana-1311	484	7	(	(	PUNCT
cana-1311	484	8	2020	2020	NUM
cana-1311	484	9	)	)	PUNCT
cana-1311	484	10	.	.	PUNCT
cana-1311	485	1	comparative	comparative	ADJ
cana-1311	485	2	analysis	analysis	NOUN
cana-1311	485	3	of	of	ADP
cana-1311	485	4	machine	machine	NOUN
cana-1311	485	5	learning	learn	VERB
cana-1311	485	6	regression	regression	NOUN
cana-1311	485	7	algorithms	algorithm	NOUN
cana-1311	485	8	on	on	ADP
cana-1311	485	9	air	air	NOUN
cana-1311	485	10	pollution	pollution	NOUN
cana-1311	485	11	dataset	dataset	NOUN
cana-1311	485	12	.	.	PUNCT
cana-1311	486	1	international	international	ADJ
cana-1311	486	2	journal	journal	PROPN
cana-1311	486	3	of	of	ADP
cana-1311	486	4	scientific	scientific	ADJ
cana-1311	486	5	research	research	NOUN
cana-1311	486	6	in	in	ADP
cana-1311	486	7	computer	computer	NOUN
cana-1311	486	8	science	science	NOUN
cana-1311	486	9	,	,	PUNCT
cana-1311	486	10	engineering	engineering	NOUN
cana-1311	486	11	and	and	CCONJ
cana-1311	486	12	information	information	NOUN
cana-1311	486	13	technology	technology	NOUN
cana-1311	486	14	,	,	PUNCT
cana-1311	486	15	125	125	NUM
cana-1311	486	16	–	–	PUNCT
cana-1311	486	17	136	136	NUM
cana-1311	486	18	.	.	PUNCT
cana-1311	487	1	https://doi.org/10.32628/cseit206427	https://doi.org/10.32628/cseit206427	VERB
cana-1311	487	2	[	[	X
cana-1311	487	3	55	55	NUM
cana-1311	487	4	]	]	X
cana-1311	487	5	zhou	zhou	PROPN
cana-1311	487	6	,	,	PUNCT
cana-1311	487	7	y.	y.	PROPN
cana-1311	487	8	,	,	PUNCT
cana-1311	487	9	de	de	PROPN
cana-1311	487	10	,	,	PUNCT
cana-1311	487	11	s.	s.	PROPN
cana-1311	487	12	,	,	PUNCT
cana-1311	487	13	ewa	ewa	PROPN
cana-1311	487	14	,	,	PUNCT
cana-1311	487	15	g.	g.	PROPN
cana-1311	487	16	,	,	PUNCT
cana-1311	487	17	perera	perera	PROPN
cana-1311	487	18	,	,	PUNCT
cana-1311	487	19	c.	c.	PROPN
cana-1311	487	20	,	,	PUNCT
cana-1311	487	21	&	&	CCONJ
cana-1311	487	22	moessner	moessner	NOUN
cana-1311	487	23	,	,	PUNCT
cana-1311	487	24	k.	k.	PROPN
cana-1311	487	25	(	(	PUNCT
cana-1311	487	26	2018	2018	NUM
cana-1311	487	27	)	)	PUNCT
cana-1311	487	28	.	.	PUNCT
cana-1311	488	1	data	data	NOUN
cana-1311	488	2	-	-	PUNCT
cana-1311	488	3	driven	drive	VERB
cana-1311	488	4	air	air	NOUN
cana-1311	488	5	quality	quality	NOUN
cana-1311	488	6	characterization	characterization	NOUN
cana-1311	488	7	for	for	ADP
cana-1311	488	8	urban	urban	ADJ
cana-1311	488	9	environments	environment	NOUN
cana-1311	488	10	:	:	PUNCT
cana-1311	488	11	a	a	DET
cana-1311	488	12	case	case	NOUN
cana-1311	488	13	study	study	NOUN
cana-1311	488	14	.	.	PUNCT
cana-1311	489	1	ieee	ieee	NOUN
cana-1311	489	2	access	access	NOUN
cana-1311	489	3	,	,	PUNCT
cana-1311	489	4	6	6	NUM
cana-1311	489	5	,	,	PUNCT
cana-1311	489	6	77996–78006	77996–78006	NUM
cana-1311	489	7	.	.	PUNCT
cana-1311	490	1	https://doi.org/10.1109/access.2018.2884647	https://doi.org/10.1109/access.2018.2884647	PROPN
cana-1311	490	2	[	[	X
cana-1311	490	3	56	56	NUM
cana-1311	490	4	]	]	X
cana-1311	490	5	zhu	zhu	PROPN
cana-1311	490	6	,	,	PUNCT
cana-1311	490	7	s.	s.	PROPN
cana-1311	490	8	,	,	PUNCT
cana-1311	490	9	lian	lian	PROPN
cana-1311	490	10	,	,	PUNCT
cana-1311	490	11	x.	x.	PROPN
cana-1311	490	12	,	,	PUNCT
cana-1311	490	13	liu	liu	PROPN
cana-1311	490	14	,	,	PUNCT
cana-1311	490	15	h.	h.	PROPN
cana-1311	490	16	,	,	PUNCT
cana-1311	490	17	hu	hu	PROPN
cana-1311	490	18	,	,	PUNCT
cana-1311	490	19	j.	j.	PROPN
cana-1311	490	20	,	,	PUNCT
cana-1311	490	21	wang	wang	PROPN
cana-1311	490	22	,	,	PUNCT
cana-1311	490	23	y.	y.	PROPN
cana-1311	490	24	,	,	PUNCT
cana-1311	490	25	&	&	CCONJ
cana-1311	490	26	che	che	PROPN
cana-1311	490	27	,	,	PUNCT
cana-1311	490	28	j.	j.	PROPN
cana-1311	490	29	(	(	PUNCT
cana-1311	490	30	2017	2017	NUM
cana-1311	490	31	)	)	PUNCT
cana-1311	490	32	.	.	PUNCT
cana-1311	491	1	daily	daily	ADJ
cana-1311	491	2	air	air	PROPN
cana-1311	491	3	quality	quality	PROPN
cana-1311	491	4	index	index	NOUN
cana-1311	491	5	forecasting	forecasting	NOUN
cana-1311	491	6	with	with	ADP
cana-1311	491	7	hybrid	hybrid	ADJ
cana-1311	491	8	models	model	NOUN
cana-1311	491	9	:	:	PUNCT
cana-1311	491	10	a	a	DET
cana-1311	491	11	case	case	NOUN
cana-1311	491	12	in	in	ADP
cana-1311	491	13	china	china	PROPN
cana-1311	491	14	.	.	PUNCT
cana-1311	492	1	environmental	environmental	ADJ
cana-1311	492	2	pollution	pollution	NOUN
cana-1311	492	3	,	,	PUNCT
cana-1311	492	4	231	231	NUM
cana-1311	492	5	,	,	PUNCT
cana-1311	492	6	1232–1244	1232–1244	NUM
cana-1311	492	7	.	.	PUNCT
cana-1311	493	1	https://doi.org/10.1016/j.envpol.2017.08.069	https://doi.org/10.1016/j.envpol.2017.08.069	NUM
cana-1311	493	2	https://www.ijrte.org/download/volume-8-issue-1s4/	https://www.ijrte.org/download/volume-8-issue-1s4/	NOUN