id	sid	tid	token	lemma	pos
sc-1112	1	1	spatio	spatio	PROPN
sc-1112	1	2	-	-	PUNCT
sc-1112	1	3	temporal	temporal	ADJ
sc-1112	1	4	prediction	prediction	NOUN
sc-1112	1	5	of	of	ADP
sc-1112	1	6	air	air	NOUN
sc-1112	1	7	quality	quality	NOUN
sc-1112	1	8	using	use	VERB
sc-1112	1	9	distance	distance	NOUN
sc-1112	1	10	based	base	VERB
sc-1112	1	11	interpolation	interpolation	NOUN
sc-1112	1	12	and	and	CCONJ
sc-1112	1	13	deep	deep	ADJ
sc-1112	1	14	learning	learning	NOUN
sc-1112	1	15	techniques	technique	NOUN
sc-1112	1	16	spatio	spatio	NOUN
sc-1112	1	17	-	-	PUNCT
sc-1112	1	18	temporal	temporal	ADJ
sc-1112	1	19	prediction	prediction	NOUN
sc-1112	1	20	of	of	ADP
sc-1112	1	21	air	air	NOUN
sc-1112	1	22	quality	quality	NOUN
sc-1112	1	23	using	use	VERB
sc-1112	1	24	distance	distance	NOUN
sc-1112	1	25	based	base	VERB
sc-1112	1	26	interpolation	interpolation	NOUN
sc-1112	1	27	and	and	CCONJ
sc-1112	1	28	deep	deep	ADJ
sc-1112	1	29	learning	learning	NOUN
sc-1112	1	30	techniques	technique	NOUN
sc-1112	1	31	k.	k.	PROPN
sc-1112	1	32	krishna	krishna	PROPN
sc-1112	1	33	rani	rani	PROPN
sc-1112	1	34	samal1,∗	samal1,∗	PROPN
sc-1112	1	35	,	,	PUNCT
sc-1112	1	36	korra	korra	PROPN
sc-1112	1	37	sathya	sathya	PROPN
sc-1112	1	38	babu1	babu1	PROPN
sc-1112	1	39	,	,	PUNCT
sc-1112	1	40	santos	santos	PROPN
sc-1112	1	41	kumar	kumar	PROPN
sc-1112	1	42	das1	das1	PROPN
sc-1112	1	43	1national	1national	PROPN
sc-1112	1	44	institute	institute	NOUN
sc-1112	1	45	of	of	ADP
sc-1112	1	46	technology	technology	PROPN
sc-1112	1	47	,	,	PUNCT
sc-1112	1	48	rourkela	rourkela	PROPN
sc-1112	1	49	,	,	PUNCT
sc-1112	2	1	india	india	PROPN
sc-1112	2	2	abstract	abstract	PROPN
sc-1112	2	3	the	the	DET
sc-1112	2	4	harmful	harmful	ADJ
sc-1112	2	5	impact	impact	NOUN
sc-1112	2	6	of	of	ADP
sc-1112	2	7	air	air	NOUN
sc-1112	2	8	pollution	pollution	NOUN
sc-1112	2	9	has	have	AUX
sc-1112	2	10	drawn	draw	VERB
sc-1112	2	11	raising	raise	VERB
sc-1112	2	12	concerns	concern	NOUN
sc-1112	2	13	from	from	ADP
sc-1112	2	14	ordinary	ordinary	ADJ
sc-1112	2	15	citizens	citizen	NOUN
sc-1112	2	16	,	,	PUNCT
sc-1112	2	17	researchers	researcher	NOUN
sc-1112	2	18	,	,	PUNCT
sc-1112	2	19	policymakers	policymaker	NOUN
sc-1112	2	20	,	,	PUNCT
sc-1112	2	21	and	and	CCONJ
sc-1112	2	22	smart	smart	ADJ
sc-1112	2	23	city	city	NOUN
sc-1112	2	24	users	user	NOUN
sc-1112	2	25	.	.	PUNCT
sc-1112	3	1	it	it	PRON
sc-1112	3	2	is	be	AUX
sc-1112	3	3	of	of	ADP
sc-1112	3	4	great	great	ADJ
sc-1112	3	5	importance	importance	NOUN
sc-1112	3	6	to	to	PART
sc-1112	3	7	identify	identify	VERB
sc-1112	3	8	air	air	NOUN
sc-1112	3	9	pollution	pollution	NOUN
sc-1112	3	10	levels	level	NOUN
sc-1112	3	11	at	at	ADP
sc-1112	3	12	the	the	DET
sc-1112	3	13	spatial	spatial	ADJ
sc-1112	3	14	resolution	resolution	NOUN
sc-1112	3	15	on	on	ADP
sc-1112	3	16	time	time	NOUN
sc-1112	3	17	so	so	SCONJ
sc-1112	3	18	that	that	SCONJ
sc-1112	3	19	its	its	PRON
sc-1112	3	20	negative	negative	ADJ
sc-1112	3	21	impact	impact	NOUN
sc-1112	3	22	on	on	ADP
sc-1112	3	23	human	human	ADJ
sc-1112	3	24	health	health	NOUN
sc-1112	3	25	and	and	CCONJ
sc-1112	3	26	environment	environment	NOUN
sc-1112	3	27	can	can	AUX
sc-1112	3	28	be	be	AUX
sc-1112	3	29	minimized	minimize	VERB
sc-1112	3	30	.	.	PUNCT
sc-1112	4	1	this	this	DET
sc-1112	4	2	paper	paper	NOUN
sc-1112	4	3	proposed	propose	VERB
sc-1112	4	4	the	the	DET
sc-1112	4	5	cnn	cnn	PROPN
sc-1112	4	6	-	-	PUNCT
sc-1112	4	7	bilstm	bilstm	NOUN
sc-1112	4	8	-	-	PUNCT
sc-1112	4	9	idw	idw	PROPN
sc-1112	4	10	model	model	NOUN
sc-1112	4	11	,	,	PUNCT
sc-1112	4	12	which	which	PRON
sc-1112	4	13	aims	aim	VERB
sc-1112	4	14	to	to	PART
sc-1112	4	15	predict	predict	VERB
sc-1112	4	16	and	and	CCONJ
sc-1112	4	17	spatially	spatially	ADV
sc-1112	4	18	analyze	analyze	VERB
sc-1112	4	19	the	the	DET
sc-1112	4	20	pollutant	pollutant	ADJ
sc-1112	4	21	level	level	NOUN
sc-1112	4	22	in	in	ADP
sc-1112	4	23	the	the	DET
sc-1112	4	24	study	study	NOUN
sc-1112	4	25	area	area	NOUN
sc-1112	4	26	in	in	ADP
sc-1112	4	27	advance	advance	NOUN
sc-1112	4	28	using	use	VERB
sc-1112	4	29	past	past	ADJ
sc-1112	4	30	observations	observation	NOUN
sc-1112	4	31	.	.	PUNCT
sc-1112	5	1	the	the	DET
sc-1112	5	2	neural	neural	ADJ
sc-1112	5	3	network	network	NOUN
sc-1112	5	4	-	-	PUNCT
sc-1112	5	5	based	base	VERB
sc-1112	5	6	convolutional	convolutional	ADJ
sc-1112	5	7	bidirectional	bidirectional	ADJ
sc-1112	5	8	long	long	ADJ
sc-1112	5	9	short	short	ADJ
sc-1112	5	10	-	-	PUNCT
sc-1112	5	11	term	term	NOUN
sc-1112	5	12	memory	memory	NOUN
sc-1112	5	13	(	(	PUNCT
sc-1112	5	14	cnn	cnn	NOUN
sc-1112	5	15	-	-	PUNCT
sc-1112	5	16	bilstm	bilstm	NOUN
sc-1112	5	17	)	)	PUNCT
sc-1112	5	18	network	network	NOUN
sc-1112	5	19	is	be	AUX
sc-1112	5	20	employed	employ	VERB
sc-1112	5	21	to	to	PART
sc-1112	5	22	perform	perform	VERB
sc-1112	5	23	time	time	NOUN
sc-1112	5	24	series	series	NOUN
sc-1112	5	25	prediction	prediction	NOUN
sc-1112	5	26	over	over	ADP
sc-1112	5	27	the	the	DET
sc-1112	5	28	next	next	ADJ
sc-1112	5	29	four	four	NUM
sc-1112	5	30	weeks	week	NOUN
sc-1112	5	31	.	.	PUNCT
sc-1112	6	1	inverse	inverse	NOUN
sc-1112	6	2	distance	distance	NOUN
sc-1112	6	3	weighting	weighting	NOUN
sc-1112	6	4	(	(	PUNCT
sc-1112	6	5	idw	idw	PROPN
sc-1112	6	6	)	)	PUNCT
sc-1112	6	7	is	be	AUX
sc-1112	6	8	utilized	utilize	VERB
sc-1112	6	9	to	to	PART
sc-1112	6	10	perform	perform	VERB
sc-1112	6	11	spatial	spatial	ADJ
sc-1112	6	12	prediction	prediction	NOUN
sc-1112	6	13	.	.	PUNCT
sc-1112	7	1	the	the	DET
sc-1112	7	2	proposed	propose	VERB
sc-1112	7	3	cnnbilstm	cnnbilstm	PROPN
sc-1112	7	4	-	-	PUNCT
sc-1112	7	5	idw	idw	PROPN
sc-1112	7	6	model	model	NOUN
sc-1112	7	7	provides	provide	VERB
sc-1112	7	8	almost	almost	ADV
sc-1112	7	9	16	16	NUM
sc-1112	7	10	%	%	NOUN
sc-1112	7	11	better	well	ADJ
sc-1112	7	12	prediction	prediction	NOUN
sc-1112	7	13	performance	performance	NOUN
sc-1112	7	14	than	than	ADP
sc-1112	7	15	the	the	DET
sc-1112	7	16	ordinary	ordinary	ADJ
sc-1112	7	17	idw	idw	PROPN
sc-1112	7	18	method	method	NOUN
sc-1112	7	19	,	,	PUNCT
sc-1112	7	20	which	which	PRON
sc-1112	7	21	fails	fail	VERB
sc-1112	7	22	to	to	PART
sc-1112	7	23	predict	predict	VERB
sc-1112	7	24	spatial	spatial	ADJ
sc-1112	7	25	prediction	prediction	NOUN
sc-1112	7	26	at	at	ADP
sc-1112	7	27	a	a	DET
sc-1112	7	28	high	high	ADJ
sc-1112	7	29	temporal	temporal	ADJ
sc-1112	7	30	period	period	NOUN
sc-1112	7	31	.	.	PUNCT
sc-1112	8	1	the	the	DET
sc-1112	8	2	results	result	NOUN
sc-1112	8	3	of	of	ADP
sc-1112	8	4	the	the	DET
sc-1112	8	5	presented	present	VERB
sc-1112	8	6	comparative	comparative	ADJ
sc-1112	8	7	analysis	analysis	NOUN
sc-1112	8	8	signify	signify	VERB
sc-1112	8	9	the	the	DET
sc-1112	8	10	efficiency	efficiency	NOUN
sc-1112	8	11	of	of	ADP
sc-1112	8	12	the	the	DET
sc-1112	8	13	proposed	propose	VERB
sc-1112	8	14	model	model	NOUN
sc-1112	8	15	.	.	PUNCT
sc-1112	9	1	received	receive	VERB
sc-1112	9	2	on	on	ADP
sc-1112	9	3	20	20	NUM
sc-1112	9	4	june	june	PROPN
sc-1112	9	5	2020	2020	NUM
sc-1112	9	6	;	;	PUNCT
sc-1112	9	7	accepted	accept	VERB
sc-1112	9	8	on	on	ADP
sc-1112	9	9	29	29	NUM
sc-1112	9	10	november	november	PROPN
sc-1112	9	11	2020	2020	NUM
sc-1112	9	12	;	;	PUNCT
sc-1112	9	13	published	publish	VERB
sc-1112	9	14	on	on	ADP
sc-1112	9	15	15	15	NUM
sc-1112	9	16	january	january	NOUN
sc-1112	9	17	2021	2021	NUM
sc-1112	9	18	keywords	keyword	NOUN
sc-1112	9	19	:	:	PUNCT
sc-1112	9	20	air	air	NOUN
sc-1112	9	21	quality	quality	NOUN
sc-1112	9	22	,	,	PUNCT
sc-1112	9	23	deep	deep	ADJ
sc-1112	9	24	learning	learning	NOUN
sc-1112	9	25	,	,	PUNCT
sc-1112	9	26	lstm	lstm	ADJ
sc-1112	9	27	,	,	PUNCT
sc-1112	9	28	inverse	inverse	NOUN
sc-1112	9	29	distance	distance	NOUN
sc-1112	9	30	weighting	weighting	NOUN
sc-1112	9	31	,	,	PUNCT
sc-1112	9	32	spatio	spatio	NOUN
sc-1112	9	33	-	-	PUNCT
sc-1112	9	34	temporal	temporal	ADJ
sc-1112	9	35	prediction	prediction	NOUN
sc-1112	9	36	copyright	copyright	NOUN
sc-1112	9	37	©	©	ADP
sc-1112	9	38	2021	2021	NUM
sc-1112	9	39	k.krishna	k.krishna	NOUN
sc-1112	9	40	rani	rani	PROPN
sc-1112	9	41	samal	samal	PROPN
sc-1112	9	42	et	et	PROPN
sc-1112	9	43	al	al	PROPN
sc-1112	9	44	.	.	PROPN
sc-1112	9	45	,	,	PUNCT
sc-1112	9	46	licensed	license	VERB
sc-1112	9	47	to	to	ADP
sc-1112	9	48	eai	eai	PROPN
sc-1112	9	49	.	.	PUNCT
sc-1112	10	1	this	this	PRON
sc-1112	10	2	is	be	AUX
sc-1112	10	3	an	an	DET
sc-1112	10	4	open	open	ADJ
sc-1112	10	5	access	access	NOUN
sc-1112	10	6	article	article	NOUN
sc-1112	10	7	distributed	distribute	VERB
sc-1112	10	8	under	under	ADP
sc-1112	10	9	the	the	DET
sc-1112	10	10	terms	term	NOUN
sc-1112	10	11	of	of	ADP
sc-1112	10	12	the	the	DET
sc-1112	10	13	creative	creative	ADJ
sc-1112	10	14	commons	common	NOUN
sc-1112	10	15	attribution	attribution	NOUN
sc-1112	10	16	license	license	NOUN
sc-1112	10	17	(	(	PUNCT
sc-1112	10	18	http://creativecommons.org/licenses/by/3.0/	http://creativecommons.org/licenses/by/3.0/	PROPN
sc-1112	10	19	)	)	PUNCT
sc-1112	10	20	,	,	PUNCT
sc-1112	10	21	which	which	PRON
sc-1112	10	22	permits	permit	VERB
sc-1112	10	23	unlimited	unlimited	ADJ
sc-1112	10	24	use	use	NOUN
sc-1112	10	25	,	,	PUNCT
sc-1112	10	26	distribution	distribution	NOUN
sc-1112	10	27	and	and	CCONJ
sc-1112	10	28	reproduction	reproduction	NOUN
sc-1112	10	29	in	in	ADP
sc-1112	10	30	any	any	DET
sc-1112	10	31	medium	medium	NOUN
sc-1112	10	32	so	so	ADV
sc-1112	10	33	long	long	ADV
sc-1112	10	34	as	as	SCONJ
sc-1112	10	35	the	the	DET
sc-1112	10	36	original	original	ADJ
sc-1112	10	37	work	work	NOUN
sc-1112	10	38	is	be	AUX
sc-1112	10	39	properly	properly	ADV
sc-1112	10	40	cited	cite	VERB
sc-1112	10	41	.	.	PUNCT
sc-1112	11	1	doi:10.4108	doi:10.4108	PROPN
sc-1112	11	2	/	/	SYM
sc-1112	11	3	eai.15	eai.15	NOUN
sc-1112	11	4	-	-	PUNCT
sc-1112	11	5	1	1	NUM
sc-1112	11	6	-	-	PUNCT
sc-1112	11	7	2021.168139	2021.168139	NUM
sc-1112	11	8	1	1	NUM
sc-1112	11	9	.	.	PUNCT
sc-1112	11	10	introduction	introduction	NOUN
sc-1112	11	11	air	air	NOUN
sc-1112	11	12	pollution	pollution	NOUN
sc-1112	11	13	has	have	AUX
sc-1112	11	14	become	become	VERB
sc-1112	11	15	a	a	DET
sc-1112	11	16	severe	severe	ADJ
sc-1112	11	17	problem	problem	NOUN
sc-1112	11	18	for	for	ADP
sc-1112	11	19	many	many	ADJ
sc-1112	11	20	developing	develop	VERB
sc-1112	11	21	countries	country	NOUN
sc-1112	11	22	in	in	ADP
sc-1112	11	23	the	the	DET
sc-1112	11	24	world	world	NOUN
sc-1112	11	25	.	.	PUNCT
sc-1112	12	1	india	india	PROPN
sc-1112	12	2	is	be	AUX
sc-1112	12	3	one	one	NUM
sc-1112	12	4	of	of	ADP
sc-1112	12	5	them	they	PRON
sc-1112	12	6	(	(	PUNCT
sc-1112	12	7	brauer	brauer	PROPN
sc-1112	12	8	et	et	PROPN
sc-1112	12	9	al	al	PROPN
sc-1112	12	10	.	.	PROPN
sc-1112	12	11	2019	2019	NUM
sc-1112	12	12	;	;	PUNCT
sc-1112	12	13	pant	pant	NOUN
sc-1112	12	14	,	,	PUNCT
sc-1112	12	15	guttikunda	guttikunda	PROPN
sc-1112	12	16	,	,	PUNCT
sc-1112	12	17	and	and	CCONJ
sc-1112	12	18	peltier	peltier	NOUN
sc-1112	12	19	2016	2016	NUM
sc-1112	12	20	)	)	PUNCT
sc-1112	12	21	.	.	PUNCT
sc-1112	13	1	with	with	ADP
sc-1112	13	2	the	the	DET
sc-1112	13	3	rapid	rapid	ADJ
sc-1112	13	4	growth	growth	NOUN
sc-1112	13	5	of	of	ADP
sc-1112	13	6	urbanization	urbanization	NOUN
sc-1112	13	7	,	,	PUNCT
sc-1112	13	8	global	global	ADJ
sc-1112	13	9	consumption	consumption	NOUN
sc-1112	13	10	of	of	ADP
sc-1112	13	11	fossil	fossil	ADJ
sc-1112	13	12	fuels	fuel	NOUN
sc-1112	13	13	,	,	PUNCT
sc-1112	13	14	and	and	CCONJ
sc-1112	13	15	oil	oil	NOUN
sc-1112	13	16	,	,	PUNCT
sc-1112	13	17	air	air	NOUN
sc-1112	13	18	pollution	pollution	NOUN
sc-1112	13	19	can	can	AUX
sc-1112	13	20	cause	cause	VERB
sc-1112	13	21	significant	significant	ADJ
sc-1112	13	22	health	health	NOUN
sc-1112	13	23	issues	issue	NOUN
sc-1112	13	24	and	and	CCONJ
sc-1112	13	25	affect	affect	VERB
sc-1112	13	26	human	human	ADJ
sc-1112	13	27	body	body	NOUN
sc-1112	13	28	parts	part	NOUN
sc-1112	13	29	severely	severely	ADV
sc-1112	13	30	.	.	PUNCT
sc-1112	14	1	high	high	ADJ
sc-1112	14	2	exposure	exposure	NOUN
sc-1112	14	3	to	to	ADP
sc-1112	14	4	air	air	NOUN
sc-1112	14	5	pollutants	pollutant	NOUN
sc-1112	14	6	and	and	CCONJ
sc-1112	14	7	other	other	ADJ
sc-1112	14	8	gases	gas	NOUN
sc-1112	14	9	can	can	AUX
sc-1112	14	10	cause	cause	VERB
sc-1112	14	11	a	a	DET
sc-1112	14	12	severe	severe	ADJ
sc-1112	14	13	asthma	asthma	NOUN
sc-1112	14	14	attack	attack	NOUN
sc-1112	14	15	and	and	CCONJ
sc-1112	14	16	many	many	ADJ
sc-1112	14	17	more	more	ADJ
sc-1112	14	18	diseases	disease	NOUN
sc-1112	14	19	.	.	PUNCT
sc-1112	15	1	due	due	ADP
sc-1112	15	2	to	to	ADP
sc-1112	15	3	the	the	DET
sc-1112	15	4	poor	poor	ADJ
sc-1112	15	5	quality	quality	NOUN
sc-1112	15	6	of	of	ADP
sc-1112	15	7	atmospheric	atmospheric	ADJ
sc-1112	15	8	air	air	NOUN
sc-1112	15	9	,	,	PUNCT
sc-1112	15	10	people	people	NOUN
sc-1112	15	11	are	be	AUX
sc-1112	15	12	more	more	ADV
sc-1112	15	13	vulnerable	vulnerable	ADJ
sc-1112	15	14	to	to	ADP
sc-1112	15	15	suffering	suffer	VERB
sc-1112	15	16	from	from	ADP
sc-1112	15	17	asthma	asthma	NOUN
sc-1112	15	18	,	,	PUNCT
sc-1112	15	19	lung	lung	NOUN
sc-1112	15	20	cancer	cancer	NOUN
sc-1112	15	21	,	,	PUNCT
sc-1112	15	22	and	and	CCONJ
sc-1112	15	23	respiratory	respiratory	ADJ
sc-1112	15	24	infections	infection	NOUN
sc-1112	15	25	.	.	PUNCT
sc-1112	16	1	commonly	commonly	ADV
sc-1112	16	2	seen	see	VERB
sc-1112	16	3	air	air	NOUN
sc-1112	16	4	pollutants	pollutant	NOUN
sc-1112	16	5	such	such	ADJ
sc-1112	16	6	as	as	ADP
sc-1112	16	7	pm10	pm10	PROPN
sc-1112	16	8	,	,	PUNCT
sc-1112	16	9	pm2.5	pm2.5	PROPN
sc-1112	16	10	,	,	PUNCT
sc-1112	16	11	so2	so2	PROPN
sc-1112	16	12	,	,	PUNCT
sc-1112	16	13	no2	no2	PROPN
sc-1112	16	14	and	and	CCONJ
sc-1112	16	15	o3	o3	PROPN
sc-1112	16	16	are	be	AUX
sc-1112	16	17	more	more	ADV
sc-1112	16	18	responsible	responsible	ADJ
sc-1112	16	19	for	for	ADP
sc-1112	16	20	heart	heart	NOUN
sc-1112	16	21	attack	attack	NOUN
sc-1112	16	22	,	,	PUNCT
sc-1112	16	23	lung	lung	NOUN
sc-1112	16	24	diseases	disease	NOUN
sc-1112	16	25	,	,	PUNCT
sc-1112	16	26	and	and	CCONJ
sc-1112	16	27	respiratory	respiratory	ADJ
sc-1112	16	28	problems	problem	NOUN
sc-1112	16	29	.	.	PUNCT
sc-1112	17	1	million	million	NUM
sc-1112	17	2	of	of	ADP
sc-1112	17	3	people	people	NOUN
sc-1112	17	4	are	be	AUX
sc-1112	17	5	dying	die	VERB
sc-1112	17	6	worldwide	worldwide	ADV
sc-1112	17	7	every	every	DET
sc-1112	17	8	year	year	NOUN
sc-1112	17	9	due	due	ADP
sc-1112	17	10	to	to	ADP
sc-1112	17	11	this	this	DET
sc-1112	17	12	type	type	NOUN
sc-1112	17	13	of	of	ADP
sc-1112	17	14	disease	disease	NOUN
sc-1112	17	15	.	.	PUNCT
sc-1112	18	1	air	air	NOUN
sc-1112	18	2	quality	quality	NOUN
sc-1112	18	3	in	in	ADP
sc-1112	18	4	many	many	ADJ
sc-1112	18	5	indian	indian	ADJ
sc-1112	18	6	cities	city	NOUN
sc-1112	18	7	failed	fail	VERB
sc-1112	18	8	to	to	PART
sc-1112	18	9	obey	obey	VERB
sc-1112	18	10	many	many	ADJ
sc-1112	18	11	international	international	ADJ
sc-1112	18	12	and	and	CCONJ
sc-1112	18	13	national	national	ADJ
sc-1112	18	14	standards	standard	NOUN
sc-1112	18	15	and	and	CCONJ
sc-1112	18	16	cpcb	cpcb	NOUN
sc-1112	18	17	(	(	PUNCT
sc-1112	18	18	beig	beig	PROPN
sc-1112	18	19	et	et	PROPN
sc-1112	18	20	al	al	PROPN
sc-1112	18	21	.	.	PROPN
sc-1112	18	22	2020	2020	NUM
sc-1112	18	23	)	)	PUNCT
sc-1112	18	24	effective	effective	ADJ
sc-1112	18	25	pollution	pollution	NOUN
sc-1112	18	26	control	control	NOUN
sc-1112	18	27	∗corresponding	∗corresponde	VERB
sc-1112	18	28	author	author	NOUN
sc-1112	18	29	.	.	PUNCT
sc-1112	19	1	email	email	NOUN
sc-1112	19	2	:	:	PUNCT
sc-1112	19	3	517cs6019@nitrklac.in	517cs6019@nitrklac.in	NUM
sc-1112	19	4	strategies	strategy	NOUN
sc-1112	19	5	.	.	PUNCT
sc-1112	20	1	according	accord	VERB
sc-1112	20	2	to	to	ADP
sc-1112	20	3	the	the	DET
sc-1112	20	4	ncap	ncap	NOUN
sc-1112	20	5	report	report	NOUN
sc-1112	20	6	,	,	PUNCT
sc-1112	20	7	43	43	NUM
sc-1112	20	8	smart	smart	ADJ
sc-1112	20	9	cities	city	NOUN
sc-1112	20	10	of	of	ADP
sc-1112	20	11	india	india	PROPN
sc-1112	20	12	are	be	AUX
sc-1112	20	13	falling	fall	VERB
sc-1112	20	14	under	under	ADP
sc-1112	20	15	102	102	NUM
sc-1112	20	16	nonattainment	nonattainment	ADJ
sc-1112	20	17	cities	city	NOUN
sc-1112	20	18	of	of	ADP
sc-1112	20	19	the	the	DET
sc-1112	20	20	country	country	NOUN
sc-1112	20	21	.	.	PUNCT
sc-1112	21	1	more	more	ADJ
sc-1112	21	2	than	than	ADP
sc-1112	21	3	half	half	NOUN
sc-1112	21	4	of	of	ADP
sc-1112	21	5	the	the	DET
sc-1112	21	6	country	country	NOUN
sc-1112	21	7	’s	’s	PART
sc-1112	21	8	population	population	NOUN
sc-1112	21	9	is	be	AUX
sc-1112	21	10	exposed	expose	VERB
sc-1112	21	11	to	to	ADP
sc-1112	21	12	particle	particle	NOUN
sc-1112	21	13	matter	matter	NOUN
sc-1112	21	14	,	,	PUNCT
sc-1112	21	15	which	which	PRON
sc-1112	21	16	exceeds	exceed	VERB
sc-1112	21	17	the	the	DET
sc-1112	21	18	permissible	permissible	ADJ
sc-1112	21	19	limits	limit	NOUN
sc-1112	21	20	.	.	PUNCT
sc-1112	22	1	recent	recent	ADJ
sc-1112	22	2	global	global	ADJ
sc-1112	22	3	air	air	NOUN
sc-1112	22	4	pollution	pollution	PROPN
sc-1112	22	5	research	research	NOUN
sc-1112	22	6	studies	study	NOUN
sc-1112	22	7	say	say	VERB
sc-1112	22	8	that	that	SCONJ
sc-1112	22	9	almost	almost	ADV
sc-1112	22	10	600000	600000	NUM
sc-1112	22	11	premature	premature	ADJ
sc-1112	22	12	death	death	NOUN
sc-1112	22	13	per	per	ADP
sc-1112	22	14	year	year	NOUN
sc-1112	22	15	occurs	occur	VERB
sc-1112	22	16	in	in	ADP
sc-1112	22	17	india	india	PROPN
sc-1112	22	18	due	due	ADP
sc-1112	22	19	to	to	ADP
sc-1112	22	20	ambient	ambient	ADJ
sc-1112	22	21	air	air	NOUN
sc-1112	22	22	pollution	pollution	NOUN
sc-1112	22	23	level	level	NOUN
sc-1112	22	24	(	(	PUNCT
sc-1112	22	25	hama	hama	PROPN
sc-1112	22	26	et	et	PROPN
sc-1112	22	27	al	al	PROPN
sc-1112	22	28	.	.	PROPN
sc-1112	22	29	2020	2020	NUM
sc-1112	22	30	)	)	PUNCT
sc-1112	22	31	.	.	PUNCT
sc-1112	23	1	air	air	NOUN
sc-1112	23	2	pollution	pollution	PROPN
sc-1112	23	3	control	control	NOUN
sc-1112	23	4	in	in	ADP
sc-1112	23	5	india	india	PROPN
sc-1112	23	6	has	have	AUX
sc-1112	23	7	become	become	VERB
sc-1112	23	8	challenging	challenging	ADJ
sc-1112	23	9	due	due	ADJ
sc-1112	23	10	to	to	ADP
sc-1112	23	11	the	the	DET
sc-1112	23	12	high	high	ADJ
sc-1112	23	13	impact	impact	NOUN
sc-1112	23	14	of	of	ADP
sc-1112	23	15	meteorological	meteorological	ADJ
sc-1112	23	16	factors	factor	NOUN
sc-1112	23	17	and	and	CCONJ
sc-1112	23	18	traffic	traffic	NOUN
sc-1112	23	19	emission	emission	NOUN
sc-1112	23	20	(	(	PUNCT
sc-1112	23	21	sharma	sharma	PROPN
sc-1112	23	22	,	,	PUNCT
sc-1112	23	23	kharol	kharol	NOUN
sc-1112	23	24	,	,	PUNCT
sc-1112	23	25	and	and	CCONJ
sc-1112	23	26	badarinath	badarinath	VERB
sc-1112	23	27	2010	2010	NUM
sc-1112	23	28	)	)	PUNCT
sc-1112	23	29	,	,	PUNCT
sc-1112	23	30	which	which	PRON
sc-1112	23	31	is	be	AUX
sc-1112	23	32	very	very	ADV
sc-1112	23	33	difficult	difficult	ADJ
sc-1112	23	34	to	to	PART
sc-1112	23	35	analyze	analyze	VERB
sc-1112	23	36	.	.	PUNCT
sc-1112	24	1	among	among	ADP
sc-1112	24	2	all	all	DET
sc-1112	24	3	the	the	DET
sc-1112	24	4	polluted	polluted	ADJ
sc-1112	24	5	cities	city	NOUN
sc-1112	24	6	in	in	ADP
sc-1112	24	7	india	india	PROPN
sc-1112	24	8	,	,	PUNCT
sc-1112	24	9	odisha	odisha	PROPN
sc-1112	24	10	has	have	VERB
sc-1112	24	11	six	six	NUM
sc-1112	24	12	nonattainment	nonattainment	ADJ
sc-1112	24	13	cities	city	NOUN
sc-1112	24	14	.	.	PUNCT
sc-1112	25	1	it	it	PRON
sc-1112	25	2	has	have	AUX
sc-1112	25	3	been	be	AUX
sc-1112	25	4	observed	observe	VERB
sc-1112	25	5	seriously	seriously	ADV
sc-1112	25	6	that	that	SCONJ
sc-1112	25	7	many	many	ADJ
sc-1112	25	8	people	people	NOUN
sc-1112	25	9	of	of	ADP
sc-1112	25	10	odisha	odisha	PROPN
sc-1112	25	11	are	be	AUX
sc-1112	25	12	suffering	suffer	VERB
sc-1112	25	13	from	from	ADP
sc-1112	25	14	chronic	chronic	ADJ
sc-1112	25	15	diseases	disease	NOUN
sc-1112	25	16	due	due	ADJ
sc-1112	25	17	to	to	ADP
sc-1112	25	18	reduced	reduce	VERB
sc-1112	25	19	air	air	NOUN
sc-1112	25	20	quality	quality	NOUN
sc-1112	25	21	levels	level	NOUN
sc-1112	25	22	as	as	SCONJ
sc-1112	25	23	it	it	PRON
sc-1112	25	24	has	have	AUX
sc-1112	25	25	become	become	VERB
sc-1112	25	26	one	one	NUM
sc-1112	25	27	of	of	ADP
sc-1112	25	28	the	the	DET
sc-1112	25	29	polluted	polluted	ADJ
sc-1112	25	30	states	state	NOUN
sc-1112	25	31	in	in	ADP
sc-1112	25	32	india	india	PROPN
sc-1112	25	33	.	.	PUNCT
sc-1112	26	1	from	from	ADP
sc-1112	26	2	a	a	DET
sc-1112	26	3	descriptive	descriptive	ADJ
sc-1112	26	4	statistical	statistical	ADJ
sc-1112	26	5	analysis	analysis	NOUN
sc-1112	26	6	of	of	ADP
sc-1112	26	7	health	health	NOUN
sc-1112	26	8	care	care	NOUN
sc-1112	26	9	data	datum	NOUN
sc-1112	26	10	of	of	ADP
sc-1112	26	11	this	this	DET
sc-1112	26	12	state	state	NOUN
sc-1112	26	13	,	,	PUNCT
sc-1112	26	14	it	it	PRON
sc-1112	26	15	is	be	AUX
sc-1112	26	16	found	find	VERB
sc-1112	26	17	that	that	SCONJ
sc-1112	26	18	11951	11951	NUM
sc-1112	26	19	the	the	DET
sc-1112	26	20	number	number	NOUN
sc-1112	26	21	of	of	ADP
sc-1112	26	22	females	female	NOUN
sc-1112	26	23	and	and	CCONJ
sc-1112	26	24	8454	8454	NUM
sc-1112	26	25	males	male	NOUN
sc-1112	26	26	per	per	ADP
sc-1112	26	27	10000	10000	NUM
sc-1112	26	28	population	population	NOUN
sc-1112	26	29	of	of	ADP
sc-1112	26	30	khordha	khordha	PROPN
sc-1112	26	31	district	district	NOUN
sc-1112	26	32	affected	affect	VERB
sc-1112	26	33	by	by	ADP
sc-1112	26	34	acute	acute	ADJ
sc-1112	26	35	illness	illness	NOUN
sc-1112	26	36	during	during	ADP
sc-1112	26	37	2012	2012	NUM
sc-1112	26	38	-	-	SYM
sc-1112	26	39	2013	2013	NUM
sc-1112	26	40	caused	cause	VERB
sc-1112	26	41	by	by	ADP
sc-1112	26	42	air	air	NOUN
sc-1112	26	43	pollution	pollution	NOUN
sc-1112	26	44	.	.	PUNCT
sc-1112	27	1	moreover	moreover	ADV
sc-1112	27	2	,	,	PUNCT
sc-1112	27	3	puri	puri	PROPN
sc-1112	27	4	,	,	PUNCT
sc-1112	27	5	jagatsinghapur	jagatsinghapur	PROPN
sc-1112	27	6	,	,	PUNCT
sc-1112	27	7	khorda	khorda	PROPN
sc-1112	27	8	,	,	PUNCT
sc-1112	27	9	1	1	NUM
sc-1112	27	10	eai	eai	NOUN
sc-1112	27	11	endorsed	endorse	VERB
sc-1112	27	12	transactions	transaction	NOUN
sc-1112	27	13	on	on	ADP
sc-1112	27	14	smart	smart	ADJ
sc-1112	27	15	cities	city	NOUN
sc-1112	27	16	research	research	NOUN
sc-1112	27	17	article	article	NOUN
sc-1112	27	18	eai	eai	PROPN
sc-1112	27	19	endorsed	endorse	VERB
sc-1112	27	20	transactions	transaction	NOUN
sc-1112	27	21	on	on	ADP
sc-1112	27	22	smart	smart	ADJ
sc-1112	27	23	cities	city	NOUN
sc-1112	27	24	01	01	NUM
sc-1112	27	25	2021	2021	NUM
sc-1112	27	26	04	04	NUM
sc-1112	27	27	2021	2021	NUM
sc-1112	27	28	|	|	ADV
sc-1112	27	29	volume	volume	NOUN
sc-1112	27	30	5	5	NUM
sc-1112	27	31	|	|	ADV
sc-1112	27	32	issue	issue	VERB
sc-1112	27	33	14	14	NUM
sc-1112	27	34	|	|	NOUN
sc-1112	27	35	e4	e4	PROPN
sc-1112	27	36	http://creativecommons.org/licenses/by/3.0/	http://creativecommons.org/licenses/by/3.0/	PROPN
sc-1112	27	37	mailto:<517cs6019@nitrklac.in	mailto:<517cs6019@nitrklac.in	PROPN
sc-1112	27	38	>	>	PROPN
sc-1112	27	39	k.krishna	k.krishna	PROPN
sc-1112	28	1	rani	rani	PROPN
sc-1112	28	2	samal	samal	PROPN
sc-1112	28	3	et	et	PROPN
sc-1112	28	4	al	al	PROPN
sc-1112	28	5	.	.	PROPN
sc-1112	29	1	nayagarh	nayagarh	PROPN
sc-1112	29	2	,	,	PUNCT
sc-1112	30	1	cuttack	cuttack	NOUN
sc-1112	30	2	district	district	NOUN
sc-1112	30	3	people	people	NOUN
sc-1112	30	4	are	be	AUX
sc-1112	30	5	mostly	mostly	ADV
sc-1112	30	6	affected	affect	VERB
sc-1112	30	7	by	by	ADP
sc-1112	30	8	asthma	asthma	NOUN
sc-1112	30	9	disease	disease	NOUN
sc-1112	30	10	,	,	PUNCT
sc-1112	30	11	whose	whose	DET
sc-1112	30	12	primary	primary	ADJ
sc-1112	30	13	source	source	NOUN
sc-1112	30	14	is	be	AUX
sc-1112	30	15	environmental	environmental	ADJ
sc-1112	30	16	air	air	NOUN
sc-1112	30	17	pollution	pollution	NOUN
sc-1112	30	18	(	(	PUNCT
sc-1112	30	19	samal	samal	PROPN
sc-1112	30	20	,	,	PUNCT
sc-1112	30	21	babu	babu	PROPN
sc-1112	30	22	,	,	PUNCT
sc-1112	30	23	santosh	santosh	PROPN
sc-1112	30	24	kumar	kumar	PROPN
sc-1112	30	25	das	das	PROPN
sc-1112	30	26	,	,	PUNCT
sc-1112	30	27	et	et	PROPN
sc-1112	30	28	al	al	PROPN
sc-1112	30	29	.	.	PROPN
sc-1112	30	30	2019	2019	NUM
sc-1112	30	31	)	)	PUNCT
sc-1112	30	32	.	.	PUNCT
sc-1112	31	1	therefore	therefore	ADV
sc-1112	31	2	,	,	PUNCT
sc-1112	31	3	it	it	PRON
sc-1112	31	4	became	become	VERB
sc-1112	31	5	necessary	necessary	ADJ
sc-1112	31	6	to	to	PART
sc-1112	31	7	predict	predict	VERB
sc-1112	31	8	the	the	DET
sc-1112	31	9	air	air	NOUN
sc-1112	31	10	pollution	pollution	NOUN
sc-1112	31	11	boundaries	boundary	NOUN
sc-1112	31	12	and	and	CCONJ
sc-1112	31	13	its	its	PRON
sc-1112	31	14	spatial	spatial	ADJ
sc-1112	31	15	distribution	distribution	NOUN
sc-1112	31	16	to	to	PART
sc-1112	31	17	regulate	regulate	VERB
sc-1112	31	18	it	it	PRON
sc-1112	31	19	.	.	PUNCT
sc-1112	32	1	concerning	concern	VERB
sc-1112	32	2	the	the	DET
sc-1112	32	3	severe	severe	ADJ
sc-1112	32	4	negative	negative	ADJ
sc-1112	32	5	impact	impact	NOUN
sc-1112	32	6	of	of	ADP
sc-1112	32	7	air	air	NOUN
sc-1112	32	8	pollution	pollution	NOUN
sc-1112	32	9	,	,	PUNCT
sc-1112	32	10	the	the	DET
sc-1112	32	11	government	government	NOUN
sc-1112	32	12	has	have	AUX
sc-1112	32	13	taken	take	VERB
sc-1112	32	14	several	several	ADJ
sc-1112	32	15	smart	smart	ADJ
sc-1112	32	16	initiatives	initiative	NOUN
sc-1112	32	17	,	,	PUNCT
sc-1112	32	18	also	also	ADV
sc-1112	32	19	working	work	VERB
sc-1112	32	20	with	with	ADP
sc-1112	32	21	different	different	ADJ
sc-1112	32	22	research	research	NOUN
sc-1112	32	23	institutions	institution	NOUN
sc-1112	32	24	to	to	PART
sc-1112	32	25	take	take	VERB
sc-1112	32	26	essential	essential	ADJ
sc-1112	32	27	steps	step	NOUN
sc-1112	32	28	against	against	ADP
sc-1112	32	29	ambient	ambient	ADJ
sc-1112	32	30	air	air	NOUN
sc-1112	32	31	pollution	pollution	NOUN
sc-1112	32	32	levels	level	NOUN
sc-1112	32	33	.	.	PUNCT
sc-1112	33	1	the	the	DET
sc-1112	33	2	government	government	NOUN
sc-1112	33	3	has	have	AUX
sc-1112	33	4	also	also	ADV
sc-1112	33	5	developed	develop	VERB
sc-1112	33	6	many	many	ADJ
sc-1112	33	7	air	air	NOUN
sc-1112	33	8	pollution	pollution	NOUN
sc-1112	33	9	monitoring	monitoring	NOUN
sc-1112	33	10	stations	station	NOUN
sc-1112	33	11	to	to	PART
sc-1112	33	12	collect	collect	VERB
sc-1112	33	13	air	air	NOUN
sc-1112	33	14	quality	quality	NOUN
sc-1112	33	15	data	datum	NOUN
sc-1112	33	16	,	,	PUNCT
sc-1112	33	17	which	which	PRON
sc-1112	33	18	can	can	AUX
sc-1112	33	19	be	be	AUX
sc-1112	33	20	utilized	utilize	VERB
sc-1112	33	21	to	to	PART
sc-1112	33	22	forecast	forecast	VERB
sc-1112	33	23	air	air	NOUN
sc-1112	33	24	pollution	pollution	NOUN
sc-1112	33	25	levels	level	NOUN
sc-1112	33	26	for	for	ADP
sc-1112	33	27	the	the	DET
sc-1112	33	28	next	next	ADJ
sc-1112	33	29	hour	hour	NOUN
sc-1112	33	30	,	,	PUNCT
sc-1112	33	31	day	day	NOUN
sc-1112	33	32	,	,	PUNCT
sc-1112	33	33	or	or	CCONJ
sc-1112	33	34	week	week	NOUN
sc-1112	33	35	.	.	PUNCT
sc-1112	34	1	the	the	DET
sc-1112	34	2	forecasting	forecasting	NOUN
sc-1112	34	3	result	result	NOUN
sc-1112	34	4	provides	provide	VERB
sc-1112	34	5	timely	timely	ADJ
sc-1112	34	6	information	information	NOUN
sc-1112	34	7	to	to	PART
sc-1112	34	8	take	take	VERB
sc-1112	34	9	necessary	necessary	ADJ
sc-1112	34	10	prevention	prevention	NOUN
sc-1112	34	11	in	in	ADP
sc-1112	34	12	advance	advance	NOUN
sc-1112	34	13	.	.	PUNCT
sc-1112	35	1	thus	thus	ADV
sc-1112	35	2	air	air	NOUN
sc-1112	35	3	quality	quality	NOUN
sc-1112	35	4	modeling	modeling	NOUN
sc-1112	35	5	and	and	CCONJ
sc-1112	35	6	monitoring	monitoring	NOUN
sc-1112	35	7	can	can	AUX
sc-1112	35	8	help	help	VERB
sc-1112	35	9	to	to	PART
sc-1112	35	10	mitigate	mitigate	VERB
sc-1112	35	11	the	the	DET
sc-1112	35	12	impact	impact	NOUN
sc-1112	35	13	of	of	ADP
sc-1112	35	14	air	air	NOUN
sc-1112	35	15	pollution	pollution	NOUN
sc-1112	35	16	.	.	PUNCT
sc-1112	36	1	several	several	ADJ
sc-1112	36	2	techniques	technique	NOUN
sc-1112	36	3	have	have	AUX
sc-1112	36	4	implemented	implement	VERB
sc-1112	36	5	to	to	PART
sc-1112	36	6	predict	predict	VERB
sc-1112	36	7	air	air	NOUN
sc-1112	36	8	pollution	pollution	NOUN
sc-1112	36	9	,	,	PUNCT
sc-1112	36	10	i.e.	i.e.	X
sc-1112	36	11	,	,	PUNCT
sc-1112	36	12	deterministic	deterministic	ADJ
sc-1112	36	13	,	,	PUNCT
sc-1112	36	14	statistical	statistical	ADJ
sc-1112	36	15	,	,	PUNCT
sc-1112	36	16	machine	machine	NOUN
sc-1112	36	17	learning	learning	NOUN
sc-1112	36	18	,	,	PUNCT
sc-1112	36	19	and	and	CCONJ
sc-1112	36	20	deep	deep	ADJ
sc-1112	36	21	learning	learning	NOUN
sc-1112	36	22	models	model	NOUN
sc-1112	36	23	.	.	PUNCT
sc-1112	37	1	these	these	PRON
sc-1112	37	2	are	be	AUX
sc-1112	37	3	the	the	DET
sc-1112	37	4	widely	widely	ADV
sc-1112	37	5	used	use	VERB
sc-1112	37	6	techniques	technique	NOUN
sc-1112	37	7	for	for	ADP
sc-1112	37	8	air	air	NOUN
sc-1112	37	9	quality	quality	NOUN
sc-1112	37	10	prediction	prediction	NOUN
sc-1112	37	11	.	.	PUNCT
sc-1112	38	1	commonly	commonly	ADV
sc-1112	38	2	used	use	VERB
sc-1112	38	3	deterministic	deterministic	ADJ
sc-1112	38	4	methods	method	NOUN
sc-1112	38	5	are	be	AUX
sc-1112	38	6	weather	weather	NOUN
sc-1112	38	7	research	research	NOUN
sc-1112	38	8	and	and	CCONJ
sc-1112	38	9	forecasting	forecasting	NOUN
sc-1112	38	10	models	model	NOUN
sc-1112	38	11	(	(	PUNCT
sc-1112	38	12	wrf	wrf	PROPN
sc-1112	38	13	)	)	PUNCT
sc-1112	38	14	(	(	PUNCT
sc-1112	38	15	saide	saide	ADV
sc-1112	38	16	et	et	PROPN
sc-1112	38	17	al	al	PROPN
sc-1112	38	18	.	.	PROPN
sc-1112	38	19	2011	2011	NUM
sc-1112	38	20	)	)	PUNCT
sc-1112	38	21	,	,	PUNCT
sc-1112	38	22	nested	nest	VERB
sc-1112	38	23	air	air	NOUN
sc-1112	38	24	quality	quality	NOUN
sc-1112	38	25	prediction	prediction	NOUN
sc-1112	38	26	modeling	modeling	NOUN
sc-1112	38	27	system	system	NOUN
sc-1112	38	28	(	(	PUNCT
sc-1112	38	29	naqpms	naqpms	PROPN
sc-1112	38	30	)	)	PUNCT
sc-1112	38	31	(	(	PUNCT
sc-1112	38	32	z.	z.	PROPN
sc-1112	38	33	wang	wang	PROPN
sc-1112	38	34	et	et	PROPN
sc-1112	38	35	al	al	PROPN
sc-1112	38	36	.	.	PROPN
sc-1112	38	37	2001	2001	NUM
sc-1112	38	38	)	)	PUNCT
sc-1112	38	39	.	.	PUNCT
sc-1112	39	1	getting	get	VERB
sc-1112	39	2	prediction	prediction	NOUN
sc-1112	39	3	results	result	NOUN
sc-1112	39	4	of	of	ADP
sc-1112	39	5	these	these	DET
sc-1112	39	6	methods	method	NOUN
sc-1112	39	7	are	be	AUX
sc-1112	39	8	expensive	expensive	ADJ
sc-1112	39	9	.	.	PUNCT
sc-1112	40	1	these	these	DET
sc-1112	40	2	methods	method	NOUN
sc-1112	40	3	utilize	utilize	VERB
sc-1112	40	4	the	the	DET
sc-1112	40	5	default	default	NOUN
sc-1112	40	6	parameters	parameter	NOUN
sc-1112	40	7	,	,	PUNCT
sc-1112	40	8	so	so	SCONJ
sc-1112	40	9	prediction	prediction	NOUN
sc-1112	40	10	results	result	NOUN
sc-1112	40	11	are	be	AUX
sc-1112	40	12	also	also	ADV
sc-1112	40	13	inappropriate	inappropriate	ADJ
sc-1112	40	14	in	in	ADP
sc-1112	40	15	realtime	realtime	ADJ
sc-1112	40	16	scenarios	scenario	NOUN
sc-1112	40	17	.	.	PUNCT
sc-1112	41	1	statistical	statistical	ADJ
sc-1112	41	2	models	model	NOUN
sc-1112	41	3	are	be	AUX
sc-1112	41	4	another	another	DET
sc-1112	41	5	kind	kind	NOUN
sc-1112	41	6	of	of	ADP
sc-1112	41	7	prediction	prediction	NOUN
sc-1112	41	8	model	model	NOUN
sc-1112	41	9	which	which	PRON
sc-1112	41	10	overcomes	overcome	VERB
sc-1112	41	11	the	the	DET
sc-1112	41	12	limitation	limitation	NOUN
sc-1112	41	13	of	of	ADP
sc-1112	41	14	deterministic	deterministic	ADJ
sc-1112	41	15	methods	method	NOUN
sc-1112	41	16	by	by	ADP
sc-1112	41	17	utilizing	utilize	VERB
sc-1112	41	18	a	a	DET
sc-1112	41	19	large	large	ADJ
sc-1112	41	20	amount	amount	NOUN
sc-1112	41	21	of	of	ADP
sc-1112	41	22	observed	observed	ADJ
sc-1112	41	23	dataset	dataset	NOUN
sc-1112	41	24	.	.	PUNCT
sc-1112	42	1	statistical	statistical	ADJ
sc-1112	42	2	models	model	NOUN
sc-1112	42	3	such	such	ADJ
sc-1112	42	4	as	as	ADP
sc-1112	42	5	arima	arima	PROPN
sc-1112	42	6	(	(	PUNCT
sc-1112	42	7	yenidoğan	yenidoğan	NOUN
sc-1112	42	8	et	et	PROPN
sc-1112	42	9	al	al	PROPN
sc-1112	42	10	.	.	PROPN
sc-1112	42	11	2018	2018	NUM
sc-1112	42	12	)	)	PUNCT
sc-1112	42	13	,	,	PUNCT
sc-1112	42	14	sarima	sarima	NOUN
sc-1112	42	15	(	(	PUNCT
sc-1112	42	16	samal	samal	PROPN
sc-1112	42	17	,	,	PUNCT
sc-1112	42	18	babu	babu	PROPN
sc-1112	42	19	,	,	PUNCT
sc-1112	42	20	santosh	santosh	PROPN
sc-1112	42	21	kumar	kumar	PROPN
sc-1112	42	22	das	das	PROPN
sc-1112	42	23	,	,	PUNCT
sc-1112	42	24	et	et	PROPN
sc-1112	42	25	al	al	PROPN
sc-1112	42	26	.	.	PROPN
sc-1112	42	27	2019	2019	NUM
sc-1112	42	28	;	;	PUNCT
sc-1112	42	29	voynikova	voynikova	PROPN
sc-1112	42	30	et	et	PROPN
sc-1112	42	31	al	al	PROPN
sc-1112	42	32	.	.	PROPN
sc-1112	42	33	2015	2015	NUM
sc-1112	42	34	;	;	PUNCT
sc-1112	42	35	m.	m.	PROPN
sc-1112	42	36	h.	h.	PROPN
sc-1112	42	37	lee	lee	PROPN
sc-1112	42	38	et	et	PROPN
sc-1112	42	39	al	al	PROPN
sc-1112	42	40	.	.	PROPN
sc-1112	42	41	2012	2012	NUM
sc-1112	42	42	;	;	PUNCT
sc-1112	42	43	n.-u	n.-u	NOUN
sc-1112	42	44	.	.	PUNCT
sc-1112	43	1	lee	lee	PROPN
sc-1112	43	2	et	et	PROPN
sc-1112	43	3	al	al	PROPN
sc-1112	43	4	.	.	PROPN
sc-1112	43	5	2018	2018	NUM
sc-1112	43	6	)	)	PUNCT
sc-1112	43	7	,	,	PUNCT
sc-1112	43	8	general	general	ADJ
sc-1112	43	9	additive	additive	NOUN
sc-1112	43	10	models	model	NOUN
sc-1112	43	11	(	(	PUNCT
sc-1112	43	12	gams	gams	PROPN
sc-1112	43	13	)	)	PUNCT
sc-1112	43	14	,	,	PUNCT
sc-1112	43	15	geographically	geographically	ADV
sc-1112	43	16	weighted	weight	VERB
sc-1112	43	17	regression	regression	NOUN
sc-1112	43	18	and	and	CCONJ
sc-1112	43	19	multi	multi	ADJ
sc-1112	43	20	-	-	ADJ
sc-1112	43	21	layer	layer	ADJ
sc-1112	43	22	regression	regression	NOUN
sc-1112	43	23	(	(	PUNCT
sc-1112	43	24	mlr	mlr	NOUN
sc-1112	43	25	)	)	PUNCT
sc-1112	43	26	(	(	PUNCT
sc-1112	43	27	mckendry	mckendry	NOUN
sc-1112	43	28	2002	2002	NUM
sc-1112	43	29	)	)	PUNCT
sc-1112	43	30	have	have	AUX
sc-1112	43	31	been	be	AUX
sc-1112	43	32	utilized	utilize	VERB
sc-1112	43	33	in	in	ADP
sc-1112	43	34	air	air	NOUN
sc-1112	43	35	quality	quality	NOUN
sc-1112	43	36	prediction	prediction	NOUN
sc-1112	43	37	.	.	PUNCT
sc-1112	44	1	these	these	DET
sc-1112	44	2	statistical	statistical	ADJ
sc-1112	44	3	models	model	NOUN
sc-1112	44	4	are	be	AUX
sc-1112	44	5	based	base	VERB
sc-1112	44	6	on	on	ADP
sc-1112	44	7	data	datum	NOUN
sc-1112	44	8	stationarity	stationarity	NOUN
sc-1112	44	9	and	and	CCONJ
sc-1112	44	10	data	datum	NOUN
sc-1112	44	11	linearity	linearity	NOUN
sc-1112	44	12	.	.	PUNCT
sc-1112	45	1	these	these	DET
sc-1112	45	2	models	model	NOUN
sc-1112	45	3	assume	assume	VERB
sc-1112	45	4	the	the	DET
sc-1112	45	5	linear	linear	ADJ
sc-1112	45	6	relationship	relationship	NOUN
sc-1112	45	7	between	between	ADP
sc-1112	45	8	the	the	DET
sc-1112	45	9	observed	observe	VERB
sc-1112	45	10	and	and	CCONJ
sc-1112	45	11	predicted	predict	VERB
sc-1112	45	12	value	value	NOUN
sc-1112	45	13	and	and	CCONJ
sc-1112	45	14	incapable	incapable	ADJ
sc-1112	45	15	of	of	ADP
sc-1112	45	16	handling	handle	VERB
sc-1112	45	17	data	datum	NOUN
sc-1112	45	18	nonstationarity	nonstationarity	NOUN
sc-1112	45	19	.	.	PUNCT
sc-1112	46	1	so	so	ADV
sc-1112	46	2	these	these	DET
sc-1112	46	3	statistical	statistical	ADJ
sc-1112	46	4	models	model	NOUN
sc-1112	46	5	have	have	AUX
sc-1112	46	6	limited	limit	VERB
sc-1112	46	7	predicted	predict	VERB
sc-1112	46	8	performance	performance	NOUN
sc-1112	46	9	.	.	PUNCT
sc-1112	47	1	to	to	PART
sc-1112	47	2	address	address	VERB
sc-1112	47	3	these	these	DET
sc-1112	47	4	problems	problem	NOUN
sc-1112	47	5	,	,	PUNCT
sc-1112	47	6	researchers	researcher	NOUN
sc-1112	47	7	and	and	CCONJ
sc-1112	47	8	policymakers	policymaker	NOUN
sc-1112	47	9	adopted	adopt	VERB
sc-1112	47	10	machine	machine	NOUN
sc-1112	47	11	learning	learning	NOUN
sc-1112	47	12	models	model	NOUN
sc-1112	47	13	such	such	ADJ
sc-1112	47	14	as	as	ADP
sc-1112	47	15	support	support	NOUN
sc-1112	47	16	vector	vector	NOUN
sc-1112	47	17	machine	machine	NOUN
sc-1112	47	18	,	,	PUNCT
sc-1112	47	19	random	random	ADJ
sc-1112	47	20	forest	forest	NOUN
sc-1112	47	21	(	(	PUNCT
sc-1112	47	22	zamani	zamani	PROPN
sc-1112	47	23	joharestani	joharestani	PROPN
sc-1112	47	24	et	et	PROPN
sc-1112	47	25	al	al	PROPN
sc-1112	47	26	.	.	PROPN
sc-1112	47	27	2019	2019	NUM
sc-1112	47	28	)	)	PUNCT
sc-1112	47	29	,	,	PUNCT
sc-1112	47	30	artificial	artificial	ADJ
sc-1112	47	31	neural	neural	ADJ
sc-1112	47	32	network	network	NOUN
sc-1112	47	33	(	(	PUNCT
sc-1112	47	34	ann	ann	PROPN
sc-1112	47	35	)	)	PUNCT
sc-1112	47	36	(	(	PUNCT
sc-1112	47	37	elangasinghe	elangasinghe	VERB
sc-1112	47	38	et	et	PROPN
sc-1112	47	39	al	al	PROPN
sc-1112	47	40	.	.	PROPN
sc-1112	47	41	2014	2014	NUM
sc-1112	47	42	)	)	PUNCT
sc-1112	47	43	,	,	PUNCT
sc-1112	47	44	fuzzy	fuzzy	ADJ
sc-1112	47	45	neural	neural	ADJ
sc-1112	47	46	network	network	NOUN
sc-1112	47	47	(	(	PUNCT
sc-1112	47	48	zhou	zhou	PROPN
sc-1112	47	49	,	,	PUNCT
sc-1112	47	50	w.	w.	PROPN
sc-1112	47	51	li	li	PROPN
sc-1112	47	52	,	,	PUNCT
sc-1112	47	53	and	and	CCONJ
sc-1112	47	54	qiao	qiao	PROPN
sc-1112	47	55	2017	2017	NUM
sc-1112	47	56	;	;	PUNCT
sc-1112	47	57	zahedi	zahedi	PROPN
sc-1112	47	58	et	et	PROPN
sc-1112	47	59	al	al	PROPN
sc-1112	47	60	.	.	PROPN
sc-1112	47	61	2014	2014	NUM
sc-1112	47	62	)	)	PUNCT
sc-1112	47	63	,	,	PUNCT
sc-1112	47	64	linear	linear	ADJ
sc-1112	47	65	regression	regression	NOUN
sc-1112	47	66	,	,	PUNCT
sc-1112	47	67	and	and	CCONJ
sc-1112	47	68	xgboost	xgboost	PRON
sc-1112	47	69	(	(	PUNCT
sc-1112	47	70	pan	pan	NOUN
sc-1112	47	71	2018	2018	NUM
sc-1112	47	72	;	;	PUNCT
sc-1112	47	73	zamani	zamani	PROPN
sc-1112	47	74	joharestani	joharestani	PROPN
sc-1112	47	75	et	et	PROPN
sc-1112	47	76	al	al	PROPN
sc-1112	47	77	.	.	PROPN
sc-1112	47	78	2019	2019	NUM
sc-1112	47	79	)	)	PUNCT
sc-1112	47	80	.	.	PUNCT
sc-1112	48	1	feed	feed	VERB
sc-1112	48	2	forward	forward	ADV
sc-1112	48	3	neural	neural	ADJ
sc-1112	48	4	networkbased	networkbased	ADJ
sc-1112	48	5	ann	ann	PROPN
sc-1112	48	6	has	have	AUX
sc-1112	48	7	shown	show	VERB
sc-1112	48	8	better	well	ADJ
sc-1112	48	9	air	air	NOUN
sc-1112	48	10	quality	quality	NOUN
sc-1112	48	11	prediction	prediction	NOUN
sc-1112	48	12	performance	performance	NOUN
sc-1112	48	13	.	.	PUNCT
sc-1112	49	1	though	though	SCONJ
sc-1112	49	2	these	these	DET
sc-1112	49	3	methods	method	NOUN
sc-1112	49	4	have	have	AUX
sc-1112	49	5	shown	show	VERB
sc-1112	49	6	better	well	ADJ
sc-1112	49	7	accuracy	accuracy	NOUN
sc-1112	49	8	in	in	ADP
sc-1112	49	9	air	air	NOUN
sc-1112	49	10	quality	quality	NOUN
sc-1112	49	11	prediction	prediction	NOUN
sc-1112	49	12	,	,	PUNCT
sc-1112	49	13	these	these	DET
sc-1112	49	14	shallow	shallow	ADJ
sc-1112	49	15	neural	neural	ADJ
sc-1112	49	16	network	network	NOUN
sc-1112	49	17	models	model	NOUN
sc-1112	49	18	fail	fail	VERB
sc-1112	49	19	to	to	PART
sc-1112	49	20	analyze	analyze	VERB
sc-1112	49	21	the	the	DET
sc-1112	49	22	correlation	correlation	NOUN
sc-1112	49	23	among	among	ADP
sc-1112	49	24	features	feature	NOUN
sc-1112	49	25	of	of	ADP
sc-1112	49	26	a	a	DET
sc-1112	49	27	multivariate	multivariate	NOUN
sc-1112	49	28	air	air	NOUN
sc-1112	49	29	pollution	pollution	NOUN
sc-1112	49	30	dataset	dataset	NOUN
sc-1112	49	31	.	.	PUNCT
sc-1112	50	1	the	the	DET
sc-1112	50	2	time	time	NOUN
sc-1112	50	3	series	series	PROPN
sc-1112	50	4	pollution	pollution	NOUN
sc-1112	50	5	dataset	dataset	PROPN
sc-1112	50	6	has	have	VERB
sc-1112	50	7	long	long	ADJ
sc-1112	50	8	term	term	NOUN
sc-1112	50	9	dependency	dependency	NOUN
sc-1112	50	10	among	among	ADP
sc-1112	50	11	all	all	DET
sc-1112	50	12	features	feature	NOUN
sc-1112	50	13	.	.	PUNCT
sc-1112	51	1	with	with	ADP
sc-1112	51	2	the	the	DET
sc-1112	51	3	rapid	rapid	ADJ
sc-1112	51	4	development	development	NOUN
sc-1112	51	5	of	of	ADP
sc-1112	51	6	artificial	artificial	ADJ
sc-1112	51	7	intelligence	intelligence	NOUN
sc-1112	51	8	techniques	technique	NOUN
sc-1112	51	9	,	,	PUNCT
sc-1112	51	10	machine	machine	NOUN
sc-1112	51	11	learning	learning	NOUN
sc-1112	51	12	models	model	NOUN
sc-1112	51	13	no	no	ADV
sc-1112	51	14	longer	long	ADV
sc-1112	51	15	remain	remain	VERB
sc-1112	51	16	as	as	ADP
sc-1112	51	17	the	the	DET
sc-1112	51	18	state	state	NOUN
sc-1112	51	19	of	of	ADP
sc-1112	51	20	the	the	DET
sc-1112	51	21	art	art	NOUN
sc-1112	51	22	models	model	NOUN
sc-1112	51	23	.	.	PUNCT
sc-1112	52	1	several	several	ADJ
sc-1112	52	2	researchers	researcher	NOUN
sc-1112	52	3	have	have	AUX
sc-1112	52	4	conducted	conduct	VERB
sc-1112	52	5	air	air	NOUN
sc-1112	52	6	quality	quality	NOUN
sc-1112	52	7	modeling	modeling	NOUN
sc-1112	52	8	using	use	VERB
sc-1112	52	9	deep	deep	ADJ
sc-1112	52	10	learning	learning	NOUN
sc-1112	52	11	techniques	technique	NOUN
sc-1112	52	12	and	and	CCONJ
sc-1112	52	13	have	have	AUX
sc-1112	52	14	proven	prove	VERB
sc-1112	52	15	better	well	ADJ
sc-1112	52	16	prediction	prediction	NOUN
sc-1112	52	17	models	model	NOUN
sc-1112	52	18	than	than	ADP
sc-1112	52	19	machine	machine	NOUN
sc-1112	52	20	learning	learning	NOUN
sc-1112	52	21	in	in	ADP
sc-1112	52	22	terms	term	NOUN
sc-1112	52	23	of	of	ADP
sc-1112	52	24	temporal	temporal	ADJ
sc-1112	52	25	analysis	analysis	NOUN
sc-1112	52	26	of	of	ADP
sc-1112	52	27	the	the	DET
sc-1112	52	28	air	air	NOUN
sc-1112	52	29	pollution	pollution	NOUN
sc-1112	52	30	dataset	dataset	NOUN
sc-1112	52	31	.	.	PUNCT
sc-1112	53	1	deep	deep	ADJ
sc-1112	53	2	learning	learning	NOUN
sc-1112	53	3	models	model	NOUN
sc-1112	53	4	have	have	AUX
sc-1112	53	5	shown	show	VERB
sc-1112	53	6	better	well	ADJ
sc-1112	53	7	performance	performance	NOUN
sc-1112	53	8	in	in	ADP
sc-1112	53	9	sequential	sequential	ADJ
sc-1112	53	10	modeling	modeling	NOUN
sc-1112	53	11	,	,	PUNCT
sc-1112	53	12	human	human	ADJ
sc-1112	53	13	detection	detection	NOUN
sc-1112	53	14	,	,	PUNCT
sc-1112	53	15	medical	medical	ADJ
sc-1112	53	16	image	image	NOUN
sc-1112	53	17	classification	classification	NOUN
sc-1112	53	18	,	,	PUNCT
sc-1112	53	19	and	and	CCONJ
sc-1112	53	20	many	many	ADJ
sc-1112	53	21	more	more	ADJ
sc-1112	53	22	applications	application	NOUN
sc-1112	53	23	.	.	PUNCT
sc-1112	54	1	deep	deep	ADJ
sc-1112	54	2	learning	learning	NOUN
sc-1112	54	3	models	model	NOUN
sc-1112	54	4	,	,	PUNCT
sc-1112	54	5	i.e.	i.e.	X
sc-1112	54	6	,	,	PUNCT
sc-1112	54	7	recurrent	recurrent	ADJ
sc-1112	54	8	neural	neural	ADJ
sc-1112	54	9	network	network	NOUN
sc-1112	54	10	(	(	PUNCT
sc-1112	54	11	rnn	rnn	PROPN
sc-1112	54	12	)	)	PUNCT
sc-1112	54	13	,	,	PUNCT
sc-1112	54	14	lstm	lstm	ADJ
sc-1112	54	15	,	,	PUNCT
sc-1112	54	16	gated	gate	VERB
sc-1112	54	17	recurrent	recurrent	ADJ
sc-1112	54	18	unit	unit	NOUN
sc-1112	54	19	(	(	PUNCT
sc-1112	54	20	gru	gru	PROPN
sc-1112	54	21	)	)	PUNCT
sc-1112	54	22	(	(	PUNCT
sc-1112	54	23	du	du	PROPN
sc-1112	54	24	et	et	PROPN
sc-1112	54	25	al	al	PROPN
sc-1112	54	26	.	.	PROPN
sc-1112	54	27	2019	2019	NUM
sc-1112	54	28	)	)	PUNCT
sc-1112	54	29	models	model	NOUN
sc-1112	54	30	,	,	PUNCT
sc-1112	54	31	have	have	AUX
sc-1112	54	32	also	also	ADV
sc-1112	54	33	played	play	VERB
sc-1112	54	34	an	an	DET
sc-1112	54	35	essential	essential	ADJ
sc-1112	54	36	role	role	NOUN
sc-1112	54	37	in	in	ADP
sc-1112	54	38	air	air	NOUN
sc-1112	54	39	quality	quality	NOUN
sc-1112	54	40	prediction	prediction	NOUN
sc-1112	54	41	.	.	PUNCT
sc-1112	55	1	few	few	ADJ
sc-1112	55	2	researchers	researcher	NOUN
sc-1112	55	3	added	add	VERB
sc-1112	55	4	a	a	DET
sc-1112	55	5	convolutional	convolutional	ADJ
sc-1112	55	6	neural	neural	ADJ
sc-1112	55	7	network	network	NOUN
sc-1112	55	8	(	(	PUNCT
sc-1112	55	9	cnn	cnn	PROPN
sc-1112	55	10	)	)	PUNCT
sc-1112	55	11	layer	layer	NOUN
sc-1112	55	12	with	with	ADP
sc-1112	55	13	the	the	DET
sc-1112	55	14	shallow	shallow	ADJ
sc-1112	55	15	,	,	PUNCT
sc-1112	55	16	deep	deep	ADJ
sc-1112	55	17	learning	learning	NOUN
sc-1112	55	18	models	model	NOUN
sc-1112	55	19	to	to	PART
sc-1112	55	20	capture	capture	VERB
sc-1112	55	21	the	the	DET
sc-1112	55	22	spatial	spatial	ADJ
sc-1112	55	23	features	feature	NOUN
sc-1112	55	24	in	in	ADP
sc-1112	55	25	the	the	DET
sc-1112	55	26	available	available	ADJ
sc-1112	55	27	time	time	NOUN
sc-1112	55	28	-	-	PUNCT
sc-1112	55	29	series	series	NOUN
sc-1112	55	30	dataset	dataset	NOUN
sc-1112	55	31	,	,	PUNCT
sc-1112	55	32	which	which	PRON
sc-1112	55	33	give	give	VERB
sc-1112	55	34	better	well	ADJ
sc-1112	55	35	prediction	prediction	NOUN
sc-1112	55	36	performance	performance	NOUN
sc-1112	55	37	by	by	ADP
sc-1112	55	38	analyzing	analyze	VERB
sc-1112	55	39	both	both	CCONJ
sc-1112	55	40	the	the	DET
sc-1112	55	41	spatial	spatial	ADJ
sc-1112	55	42	and	and	CCONJ
sc-1112	55	43	temporal	temporal	ADJ
sc-1112	55	44	characteristics	characteristic	NOUN
sc-1112	55	45	.	.	PUNCT
sc-1112	56	1	most	most	ADJ
sc-1112	56	2	of	of	ADP
sc-1112	56	3	the	the	DET
sc-1112	56	4	existing	exist	VERB
sc-1112	56	5	prediction	prediction	NOUN
sc-1112	56	6	models	model	NOUN
sc-1112	56	7	predict	predict	VERB
sc-1112	56	8	air	air	NOUN
sc-1112	56	9	pollution	pollution	NOUN
sc-1112	56	10	levels	level	NOUN
sc-1112	56	11	for	for	ADP
sc-1112	56	12	the	the	DET
sc-1112	56	13	next	next	ADJ
sc-1112	56	14	hours	hour	NOUN
sc-1112	56	15	for	for	ADP
sc-1112	56	16	a	a	DET
sc-1112	56	17	particular	particular	ADJ
sc-1112	56	18	site	site	NOUN
sc-1112	56	19	.	.	PUNCT
sc-1112	57	1	predicting	predict	VERB
sc-1112	57	2	air	air	NOUN
sc-1112	57	3	pollution	pollution	NOUN
sc-1112	57	4	levels	level	NOUN
sc-1112	57	5	for	for	ADP
sc-1112	57	6	the	the	DET
sc-1112	57	7	entire	entire	ADJ
sc-1112	57	8	study	study	NOUN
sc-1112	57	9	area	area	NOUN
sc-1112	57	10	for	for	ADP
sc-1112	57	11	a	a	DET
sc-1112	57	12	long	long	ADJ
sc-1112	57	13	term	term	NOUN
sc-1112	57	14	period	period	NOUN
sc-1112	57	15	can	can	AUX
sc-1112	57	16	add	add	VERB
sc-1112	57	17	an	an	DET
sc-1112	57	18	advantage	advantage	NOUN
sc-1112	57	19	to	to	PART
sc-1112	57	20	get	get	VERB
sc-1112	57	21	better	well	ADJ
sc-1112	57	22	air	air	NOUN
sc-1112	57	23	pollution	pollution	NOUN
sc-1112	57	24	prediction	prediction	NOUN
sc-1112	57	25	results	result	NOUN
sc-1112	57	26	.	.	PUNCT
sc-1112	58	1	usually	usually	ADV
sc-1112	58	2	,	,	PUNCT
sc-1112	58	3	air	air	NOUN
sc-1112	58	4	pollution	pollution	NOUN
sc-1112	58	5	prediction	prediction	NOUN
sc-1112	58	6	performance	performance	NOUN
sc-1112	58	7	for	for	ADP
sc-1112	58	8	a	a	DET
sc-1112	58	9	long	long	ADJ
sc-1112	58	10	term	term	NOUN
sc-1112	58	11	period	period	NOUN
sc-1112	58	12	gives	give	VERB
sc-1112	58	13	lower	low	ADJ
sc-1112	58	14	accuracy	accuracy	NOUN
sc-1112	58	15	than	than	ADP
sc-1112	58	16	for	for	ADP
sc-1112	58	17	the	the	DET
sc-1112	58	18	short	short	ADJ
sc-1112	58	19	term	term	NOUN
sc-1112	58	20	period	period	NOUN
sc-1112	58	21	.	.	PUNCT
sc-1112	59	1	this	this	PRON
sc-1112	59	2	might	might	AUX
sc-1112	59	3	be	be	AUX
sc-1112	59	4	due	due	ADJ
sc-1112	59	5	to	to	ADP
sc-1112	59	6	the	the	DET
sc-1112	59	7	small	small	ADJ
sc-1112	59	8	number	number	NOUN
sc-1112	59	9	of	of	ADP
sc-1112	59	10	samples	sample	NOUN
sc-1112	59	11	to	to	PART
sc-1112	59	12	perform	perform	VERB
sc-1112	59	13	long	long	ADJ
sc-1112	59	14	term	term	NOUN
sc-1112	59	15	air	air	NOUN
sc-1112	59	16	quality	quality	NOUN
sc-1112	59	17	prediction	prediction	NOUN
sc-1112	59	18	.	.	PUNCT
sc-1112	60	1	therefore	therefore	ADV
sc-1112	60	2	,	,	PUNCT
sc-1112	60	3	it	it	PRON
sc-1112	60	4	is	be	AUX
sc-1112	60	5	essential	essential	ADJ
sc-1112	60	6	to	to	PART
sc-1112	60	7	develop	develop	VERB
sc-1112	60	8	air	air	NOUN
sc-1112	60	9	pollution	pollution	NOUN
sc-1112	60	10	prediction	prediction	NOUN
sc-1112	60	11	models	model	NOUN
sc-1112	60	12	that	that	PRON
sc-1112	60	13	can	can	AUX
sc-1112	60	14	effectively	effectively	ADV
sc-1112	60	15	perform	perform	VERB
sc-1112	60	16	air	air	NOUN
sc-1112	60	17	pollution	pollution	NOUN
sc-1112	60	18	prediction	prediction	NOUN
sc-1112	60	19	for	for	ADP
sc-1112	60	20	the	the	DET
sc-1112	60	21	entire	entire	ADJ
sc-1112	60	22	study	study	NOUN
sc-1112	60	23	area	area	NOUN
sc-1112	60	24	at	at	ADP
sc-1112	60	25	a	a	DET
sc-1112	60	26	more	more	ADV
sc-1112	60	27	significant	significant	ADJ
sc-1112	60	28	time	time	NOUN
sc-1112	60	29	resolution	resolution	NOUN
sc-1112	60	30	.	.	PUNCT
sc-1112	61	1	to	to	PART
sc-1112	61	2	address	address	VERB
sc-1112	61	3	this	this	DET
sc-1112	61	4	limitation	limitation	NOUN
sc-1112	61	5	,	,	PUNCT
sc-1112	61	6	the	the	DET
sc-1112	61	7	current	current	ADJ
sc-1112	61	8	research	research	NOUN
sc-1112	61	9	study	study	NOUN
sc-1112	61	10	developed	develop	VERB
sc-1112	61	11	a	a	DET
sc-1112	61	12	methodology	methodology	NOUN
sc-1112	61	13	framework	framework	NOUN
sc-1112	61	14	that	that	PRON
sc-1112	61	15	follows	follow	VERB
sc-1112	61	16	a	a	DET
sc-1112	61	17	deep	deep	ADJ
sc-1112	61	18	learning	learning	NOUN
sc-1112	61	19	-	-	PUNCT
sc-1112	61	20	based	base	VERB
sc-1112	61	21	cnn	cnn	PROPN
sc-1112	61	22	-	-	PUNCT
sc-1112	61	23	bilstm	bilstm	NOUN
sc-1112	61	24	layer	layer	NOUN
sc-1112	61	25	for	for	ADP
sc-1112	61	26	feature	feature	NOUN
sc-1112	61	27	analysis	analysis	NOUN
sc-1112	61	28	and	and	CCONJ
sc-1112	61	29	time	time	NOUN
sc-1112	61	30	series	series	PROPN
sc-1112	61	31	prediction	prediction	NOUN
sc-1112	61	32	.	.	PUNCT
sc-1112	62	1	on	on	ADP
sc-1112	62	2	the	the	DET
sc-1112	62	3	top	top	NOUN
sc-1112	62	4	of	of	ADP
sc-1112	62	5	the	the	DET
sc-1112	62	6	cnn	cnn	PROPN
sc-1112	62	7	-	-	PUNCT
sc-1112	62	8	bilstm	bilstm	NOUN
sc-1112	62	9	layer	layer	NOUN
sc-1112	62	10	,	,	PUNCT
sc-1112	62	11	the	the	DET
sc-1112	62	12	distance	distance	NOUN
sc-1112	62	13	-	-	PUNCT
sc-1112	62	14	based	base	VERB
sc-1112	62	15	inverse	inverse	NOUN
sc-1112	62	16	distance	distance	NOUN
sc-1112	62	17	weighting	weight	VERB
sc-1112	62	18	interpolation	interpolation	NOUN
sc-1112	62	19	layer	layer	NOUN
sc-1112	62	20	is	be	AUX
sc-1112	62	21	developed	develop	VERB
sc-1112	62	22	to	to	PART
sc-1112	62	23	perform	perform	VERB
sc-1112	62	24	spatial	spatial	ADJ
sc-1112	62	25	prediction	prediction	NOUN
sc-1112	62	26	for	for	ADP
sc-1112	62	27	the	the	DET
sc-1112	62	28	entire	entire	ADJ
sc-1112	62	29	study	study	NOUN
sc-1112	62	30	area	area	NOUN
sc-1112	62	31	at	at	ADP
sc-1112	62	32	a	a	DET
sc-1112	62	33	higher	high	ADJ
sc-1112	62	34	temporal	temporal	ADJ
sc-1112	62	35	resolution	resolution	NOUN
sc-1112	62	36	.	.	PUNCT
sc-1112	63	1	so	so	ADV
sc-1112	63	2	,	,	PUNCT
sc-1112	63	3	predicting	predict	VERB
sc-1112	63	4	the	the	DET
sc-1112	63	5	spatial	spatial	ADJ
sc-1112	63	6	variability	variability	NOUN
sc-1112	63	7	for	for	ADP
sc-1112	63	8	the	the	DET
sc-1112	63	9	next	next	ADJ
sc-1112	63	10	few	few	ADJ
sc-1112	63	11	days	day	NOUN
sc-1112	63	12	will	will	AUX
sc-1112	63	13	surely	surely	ADV
sc-1112	63	14	help	help	VERB
sc-1112	63	15	to	to	PART
sc-1112	63	16	ensure	ensure	VERB
sc-1112	63	17	public	public	ADJ
sc-1112	63	18	safety	safety	NOUN
sc-1112	63	19	.	.	PUNCT
sc-1112	64	1	following	follow	VERB
sc-1112	64	2	the	the	DET
sc-1112	64	3	introduction	introduction	NOUN
sc-1112	64	4	,	,	PUNCT
sc-1112	64	5	the	the	DET
sc-1112	64	6	rest	rest	NOUN
sc-1112	64	7	is	be	AUX
sc-1112	64	8	organized	organize	VERB
sc-1112	64	9	as	as	SCONJ
sc-1112	64	10	follows	follow	VERB
sc-1112	64	11	.	.	PUNCT
sc-1112	65	1	section	section	NOUN
sc-1112	65	2	2	2	NUM
sc-1112	65	3	represented	represent	VERB
sc-1112	65	4	related	related	ADJ
sc-1112	65	5	work	work	NOUN
sc-1112	65	6	.	.	PUNCT
sc-1112	66	1	section	section	NOUN
sc-1112	66	2	3	3	NUM
sc-1112	66	3	and	and	CCONJ
sc-1112	66	4	section	section	NOUN
sc-1112	66	5	4	4	NUM
sc-1112	66	6	include	include	VERB
sc-1112	66	7	problem	problem	NOUN
sc-1112	66	8	statements	statement	NOUN
sc-1112	66	9	and	and	CCONJ
sc-1112	66	10	study	study	NOUN
sc-1112	66	11	areas	area	NOUN
sc-1112	66	12	,	,	PUNCT
sc-1112	66	13	respectively	respectively	ADV
sc-1112	66	14	.	.	PUNCT
sc-1112	67	1	section	section	NOUN
sc-1112	67	2	5	5	NUM
sc-1112	67	3	and	and	CCONJ
sc-1112	67	4	section	section	NOUN
sc-1112	67	5	6	6	NUM
sc-1112	67	6	describes	describe	VERB
sc-1112	67	7	the	the	DET
sc-1112	67	8	proposed	propose	VERB
sc-1112	67	9	methodologies	methodology	NOUN
sc-1112	67	10	framework	framework	NOUN
sc-1112	67	11	and	and	CCONJ
sc-1112	67	12	results	result	NOUN
sc-1112	67	13	of	of	ADP
sc-1112	67	14	the	the	DET
sc-1112	67	15	implemented	implement	VERB
sc-1112	67	16	experiments	experiment	NOUN
sc-1112	67	17	.	.	PUNCT
sc-1112	68	1	section	section	NOUN
sc-1112	68	2	7	7	NUM
sc-1112	68	3	consists	consist	VERB
sc-1112	68	4	of	of	ADP
sc-1112	68	5	the	the	DET
sc-1112	68	6	conclusion	conclusion	NOUN
sc-1112	68	7	part	part	NOUN
sc-1112	68	8	of	of	ADP
sc-1112	68	9	this	this	DET
sc-1112	68	10	research	research	NOUN
sc-1112	68	11	paper	paper	NOUN
sc-1112	68	12	.	.	PUNCT
sc-1112	69	1	2	2	X
sc-1112	69	2	.	.	X
sc-1112	69	3	related	relate	VERB
sc-1112	69	4	works	work	NOUN
sc-1112	69	5	it	it	PRON
sc-1112	69	6	is	be	AUX
sc-1112	69	7	unreasonable	unreasonable	ADJ
sc-1112	69	8	and	and	CCONJ
sc-1112	69	9	cost	cost	NOUN
sc-1112	69	10	-	-	PUNCT
sc-1112	69	11	effective	effective	ADJ
sc-1112	69	12	to	to	PART
sc-1112	69	13	establish	establish	VERB
sc-1112	69	14	air	air	NOUN
sc-1112	69	15	quality	quality	NOUN
sc-1112	69	16	monitoring	monitoring	NOUN
sc-1112	69	17	stations	station	NOUN
sc-1112	69	18	to	to	PART
sc-1112	69	19	analyze	analyze	VERB
sc-1112	69	20	air	air	NOUN
sc-1112	69	21	pollution	pollution	NOUN
sc-1112	69	22	levels	level	NOUN
sc-1112	69	23	at	at	ADP
sc-1112	69	24	each	each	DET
sc-1112	69	25	corner	corner	NOUN
sc-1112	69	26	of	of	ADP
sc-1112	69	27	the	the	DET
sc-1112	69	28	study	study	NOUN
sc-1112	69	29	area	area	NOUN
sc-1112	69	30	.	.	PUNCT
sc-1112	70	1	so	so	ADV
sc-1112	70	2	,	,	PUNCT
sc-1112	70	3	it	it	PRON
sc-1112	70	4	has	have	AUX
sc-1112	70	5	become	become	VERB
sc-1112	70	6	a	a	DET
sc-1112	70	7	crucial	crucial	ADJ
sc-1112	70	8	problem	problem	NOUN
sc-1112	70	9	to	to	PART
sc-1112	70	10	identify	identify	VERB
sc-1112	70	11	the	the	DET
sc-1112	70	12	spatial	spatial	ADJ
sc-1112	70	13	distribution	distribution	NOUN
sc-1112	70	14	of	of	ADP
sc-1112	70	15	2	2	NUM
sc-1112	70	16	eai	eai	NOUN
sc-1112	70	17	endorsed	endorse	VERB
sc-1112	70	18	transactions	transaction	NOUN
sc-1112	70	19	on	on	ADP
sc-1112	70	20	smart	smart	ADJ
sc-1112	70	21	cities	city	NOUN
sc-1112	70	22	01	01	NUM
sc-1112	70	23	2021	2021	NUM
sc-1112	70	24	04	04	NUM
sc-1112	70	25	2021	2021	NUM
sc-1112	70	26	|	|	ADV
sc-1112	70	27	volume	volume	NOUN
sc-1112	70	28	5	5	NUM
sc-1112	70	29	|	|	ADV
sc-1112	70	30	issue	issue	VERB
sc-1112	70	31	14	14	NUM
sc-1112	71	1	|	|	ADV
sc-1112	71	2	e4	e4	PROPN
sc-1112	71	3	spatio	spatio	NOUN
sc-1112	71	4	-	-	PUNCT
sc-1112	71	5	temporal	temporal	ADJ
sc-1112	71	6	prediction	prediction	NOUN
sc-1112	71	7	of	of	ADP
sc-1112	71	8	air	air	NOUN
sc-1112	71	9	quality	quality	NOUN
sc-1112	71	10	using	use	VERB
sc-1112	71	11	distance	distance	NOUN
sc-1112	71	12	based	base	VERB
sc-1112	71	13	interpolation	interpolation	NOUN
sc-1112	71	14	and	and	CCONJ
sc-1112	71	15	deep	deep	ADJ
sc-1112	71	16	learning	learning	NOUN
sc-1112	71	17	techniques	technique	NOUN
sc-1112	71	18	air	air	NOUN
sc-1112	71	19	quality	quality	NOUN
sc-1112	71	20	level	level	NOUN
sc-1112	71	21	and	and	CCONJ
sc-1112	71	22	predicts	predict	VERB
sc-1112	71	23	its	its	PRON
sc-1112	71	24	value	value	NOUN
sc-1112	71	25	for	for	ADP
sc-1112	71	26	the	the	DET
sc-1112	71	27	entire	entire	ADJ
sc-1112	71	28	study	study	NOUN
sc-1112	71	29	area	area	NOUN
sc-1112	71	30	.	.	PUNCT
sc-1112	72	1	to	to	PART
sc-1112	72	2	overcome	overcome	VERB
sc-1112	72	3	this	this	DET
sc-1112	72	4	issue	issue	NOUN
sc-1112	72	5	,	,	PUNCT
sc-1112	72	6	the	the	DET
sc-1112	72	7	government	government	NOUN
sc-1112	72	8	has	have	AUX
sc-1112	72	9	launched	launch	VERB
sc-1112	72	10	satellites	satellite	NOUN
sc-1112	72	11	to	to	PART
sc-1112	72	12	monitor	monitor	VERB
sc-1112	72	13	the	the	DET
sc-1112	72	14	air	air	NOUN
sc-1112	72	15	pollution	pollution	NOUN
sc-1112	72	16	level	level	NOUN
sc-1112	72	17	for	for	ADP
sc-1112	72	18	the	the	DET
sc-1112	72	19	entire	entire	ADJ
sc-1112	72	20	area	area	NOUN
sc-1112	72	21	,	,	PUNCT
sc-1112	72	22	which	which	PRON
sc-1112	72	23	can	can	AUX
sc-1112	72	24	also	also	ADV
sc-1112	72	25	provide	provide	VERB
sc-1112	72	26	a	a	DET
sc-1112	72	27	full	full	ADJ
sc-1112	72	28	mapping	mapping	NOUN
sc-1112	72	29	of	of	ADP
sc-1112	72	30	atmospheric	atmospheric	ADJ
sc-1112	72	31	air	air	NOUN
sc-1112	72	32	pollution	pollution	NOUN
sc-1112	72	33	levels	level	NOUN
sc-1112	72	34	(	(	PUNCT
sc-1112	72	35	boys	boy	NOUN
sc-1112	72	36	et	et	PROPN
sc-1112	72	37	al	al	PROPN
sc-1112	72	38	.	.	PROPN
sc-1112	72	39	2014	2014	NUM
sc-1112	72	40	;	;	PUNCT
sc-1112	72	41	s.	s.	PROPN
sc-1112	72	42	chowdhury	chowdhury	PROPN
sc-1112	72	43	et	et	PROPN
sc-1112	72	44	al	al	PROPN
sc-1112	72	45	.	.	PROPN
sc-1112	72	46	2019	2019	NUM
sc-1112	72	47	)	)	PUNCT
sc-1112	72	48	.	.	PUNCT
sc-1112	73	1	much	much	ADJ
sc-1112	73	2	research	research	NOUN
sc-1112	73	3	has	have	AUX
sc-1112	73	4	been	be	AUX
sc-1112	73	5	conducted	conduct	VERB
sc-1112	73	6	to	to	PART
sc-1112	73	7	predict	predict	VERB
sc-1112	73	8	air	air	NOUN
sc-1112	73	9	pollution	pollution	NOUN
sc-1112	73	10	levels	level	NOUN
sc-1112	73	11	using	use	VERB
sc-1112	73	12	satellitederived	satellitederived	ADJ
sc-1112	73	13	remote	remote	ADJ
sc-1112	73	14	sensing	sensing	NOUN
sc-1112	73	15	images	image	NOUN
sc-1112	73	16	.	.	PUNCT
sc-1112	74	1	though	though	SCONJ
sc-1112	74	2	satellite	satellite	NOUN
sc-1112	74	3	can	can	AUX
sc-1112	74	4	capture	capture	VERB
sc-1112	74	5	the	the	DET
sc-1112	74	6	overall	overall	ADJ
sc-1112	74	7	air	air	NOUN
sc-1112	74	8	pollution	pollution	NOUN
sc-1112	74	9	level	level	NOUN
sc-1112	74	10	for	for	ADP
sc-1112	74	11	the	the	DET
sc-1112	74	12	entire	entire	ADJ
sc-1112	74	13	study	study	NOUN
sc-1112	74	14	area	area	NOUN
sc-1112	74	15	,	,	PUNCT
sc-1112	74	16	it	it	PRON
sc-1112	74	17	can	can	AUX
sc-1112	74	18	not	not	PART
sc-1112	74	19	capture	capture	VERB
sc-1112	74	20	a	a	DET
sc-1112	74	21	particular	particular	ADJ
sc-1112	74	22	location	location	NOUN
sc-1112	74	23	air	air	NOUN
sc-1112	74	24	pollution	pollution	NOUN
sc-1112	74	25	level	level	NOUN
sc-1112	74	26	all	all	DET
sc-1112	74	27	the	the	DET
sc-1112	74	28	time	time	NOUN
sc-1112	74	29	.	.	PUNCT
sc-1112	75	1	the	the	DET
sc-1112	75	2	captured	capture	VERB
sc-1112	75	3	remote	remote	ADJ
sc-1112	75	4	sensing	sensing	NOUN
sc-1112	75	5	images	image	NOUN
sc-1112	75	6	are	be	AUX
sc-1112	75	7	also	also	ADV
sc-1112	75	8	blurred	blur	VERB
sc-1112	75	9	in	in	ADP
sc-1112	75	10	nature	nature	NOUN
sc-1112	75	11	due	due	ADP
sc-1112	75	12	to	to	ADP
sc-1112	75	13	cloud	cloud	ADJ
sc-1112	75	14	influence	influence	NOUN
sc-1112	75	15	and	and	CCONJ
sc-1112	75	16	movable	movable	ADJ
sc-1112	75	17	satellites	satellite	NOUN
sc-1112	75	18	.	.	PUNCT
sc-1112	76	1	therefore	therefore	ADV
sc-1112	76	2	,	,	PUNCT
sc-1112	76	3	identify	identify	VERB
sc-1112	76	4	the	the	DET
sc-1112	76	5	spatial	spatial	ADJ
sc-1112	76	6	distribution	distribution	NOUN
sc-1112	76	7	of	of	ADP
sc-1112	76	8	air	air	NOUN
sc-1112	76	9	pollution	pollution	NOUN
sc-1112	76	10	levels	level	NOUN
sc-1112	76	11	could	could	AUX
sc-1112	76	12	be	be	AUX
sc-1112	76	13	limited	limit	VERB
sc-1112	76	14	due	due	ADP
sc-1112	76	15	to	to	ADP
sc-1112	76	16	satellite	satellite	NOUN
sc-1112	76	17	-	-	PUNCT
sc-1112	76	18	derived	derive	VERB
sc-1112	76	19	air	air	NOUN
sc-1112	76	20	pollution	pollution	NOUN
sc-1112	76	21	data	datum	NOUN
sc-1112	76	22	.	.	PUNCT
sc-1112	77	1	considering	consider	VERB
sc-1112	77	2	this	this	DET
sc-1112	77	3	limitation	limitation	NOUN
sc-1112	77	4	of	of	ADP
sc-1112	77	5	air	air	NOUN
sc-1112	77	6	quality	quality	NOUN
sc-1112	77	7	monitoring	monitoring	NOUN
sc-1112	77	8	using	use	VERB
sc-1112	77	9	satellite	satellite	NOUN
sc-1112	77	10	data	datum	NOUN
sc-1112	77	11	,	,	PUNCT
sc-1112	77	12	few	few	ADJ
sc-1112	77	13	researchers	researcher	NOUN
sc-1112	77	14	experimented	experiment	VERB
sc-1112	77	15	with	with	ADP
sc-1112	77	16	statistical	statistical	ADJ
sc-1112	77	17	spatial	spatial	ADJ
sc-1112	77	18	prediction	prediction	NOUN
sc-1112	77	19	models	model	NOUN
sc-1112	77	20	to	to	PART
sc-1112	77	21	analyze	analyze	VERB
sc-1112	77	22	air	air	NOUN
sc-1112	77	23	pollution	pollution	NOUN
sc-1112	77	24	levels	level	NOUN
sc-1112	77	25	spatially	spatially	ADV
sc-1112	77	26	(	(	PUNCT
sc-1112	77	27	gulliver	gulliver	VERB
sc-1112	77	28	et	et	NOUN
sc-1112	77	29	al	al	PROPN
sc-1112	77	30	.	.	PROPN
sc-1112	77	31	2011	2011	NUM
sc-1112	77	32	)	)	PUNCT
sc-1112	77	33	.	.	PUNCT
sc-1112	78	1	the	the	DET
sc-1112	78	2	spatial	spatial	ADJ
sc-1112	78	3	prediction	prediction	NOUN
sc-1112	78	4	model	model	NOUN
sc-1112	78	5	handles	handle	VERB
sc-1112	78	6	missing	miss	VERB
sc-1112	78	7	values	value	NOUN
sc-1112	78	8	of	of	ADP
sc-1112	78	9	air	air	NOUN
sc-1112	78	10	pollution	pollution	NOUN
sc-1112	78	11	data	datum	NOUN
sc-1112	78	12	obtained	obtain	VERB
sc-1112	78	13	due	due	ADP
sc-1112	78	14	to	to	ADP
sc-1112	78	15	unavailable	unavailable	ADJ
sc-1112	78	16	monitoring	monitoring	NOUN
sc-1112	78	17	stations	station	NOUN
sc-1112	78	18	in	in	ADP
sc-1112	78	19	a	a	DET
sc-1112	78	20	particular	particular	ADJ
sc-1112	78	21	location	location	NOUN
sc-1112	78	22	.	.	PUNCT
sc-1112	79	1	the	the	DET
sc-1112	79	2	spatial	spatial	ADJ
sc-1112	79	3	prediction	prediction	NOUN
sc-1112	79	4	model	model	NOUN
sc-1112	79	5	includes	include	VERB
sc-1112	79	6	several	several	ADJ
sc-1112	79	7	deterministic	deterministic	ADJ
sc-1112	79	8	models	model	NOUN
sc-1112	79	9	like	like	ADP
sc-1112	79	10	inverse	inverse	NOUN
sc-1112	79	11	distance	distance	NOUN
sc-1112	79	12	weighting	weighting	NOUN
sc-1112	79	13	(	(	PUNCT
sc-1112	79	14	idw	idw	PROPN
sc-1112	79	15	)	)	PUNCT
sc-1112	79	16	and	and	CCONJ
sc-1112	79	17	geostatistics	geostatistic	NOUN
sc-1112	79	18	models	model	NOUN
sc-1112	79	19	like	like	ADP
sc-1112	79	20	ordinary	ordinary	ADJ
sc-1112	79	21	kriging	krige	VERB
sc-1112	79	22	(	(	PUNCT
sc-1112	79	23	ok	ok	INTJ
sc-1112	79	24	)	)	PUNCT
sc-1112	79	25	(	(	PUNCT
sc-1112	79	26	feng	feng	PROPN
sc-1112	79	27	et	et	PROPN
sc-1112	79	28	al	al	PROPN
sc-1112	79	29	.	.	PROPN
sc-1112	79	30	2015	2015	NUM
sc-1112	79	31	;	;	PUNCT
sc-1112	79	32	contreras	contrera	NOUN
sc-1112	79	33	-	-	PUNCT
sc-1112	79	34	ochando	ochando	PROPN
sc-1112	79	35	and	and	CCONJ
sc-1112	79	36	ferri	ferri	PROPN
sc-1112	79	37	2016	2016	NUM
sc-1112	79	38	)	)	PUNCT
sc-1112	79	39	,	,	PUNCT
sc-1112	79	40	simple	simple	ADJ
sc-1112	79	41	kriging	kriging	NOUN
sc-1112	79	42	(	(	PUNCT
sc-1112	79	43	cressie	cressie	NOUN
sc-1112	79	44	1990	1990	NUM
sc-1112	79	45	)	)	PUNCT
sc-1112	79	46	,	,	PUNCT
sc-1112	79	47	universal	universal	ADJ
sc-1112	79	48	kriging	kriging	NOUN
sc-1112	79	49	(	(	PUNCT
sc-1112	79	50	vorapracha	vorapracha	NOUN
sc-1112	79	51	et	et	PROPN
sc-1112	79	52	al	al	PROPN
sc-1112	79	53	.	.	PROPN
sc-1112	79	54	2015	2015	NUM
sc-1112	79	55	)	)	PUNCT
sc-1112	79	56	,	,	PUNCT
sc-1112	79	57	and	and	CCONJ
sc-1112	79	58	empirical	empirical	ADJ
sc-1112	79	59	bayesian	bayesian	NOUN
sc-1112	79	60	kriging	krige	VERB
sc-1112	79	61	(	(	PUNCT
sc-1112	79	62	ebk	ebk	PROPN
sc-1112	79	63	)	)	PUNCT
sc-1112	79	64	models	model	NOUN
sc-1112	79	65	(	(	PUNCT
sc-1112	79	66	gunarathna	gunarathna	PROPN
sc-1112	79	67	,	,	PUNCT
sc-1112	79	68	kumari	kumari	PROPN
sc-1112	79	69	,	,	PUNCT
sc-1112	79	70	and	and	CCONJ
sc-1112	79	71	nirmanee	nirmanee	NOUN
sc-1112	79	72	2016	2016	NUM
sc-1112	79	73	)	)	PUNCT
sc-1112	79	74	.	.	PUNCT
sc-1112	80	1	these	these	DET
sc-1112	80	2	models	model	NOUN
sc-1112	80	3	are	be	AUX
sc-1112	80	4	efficient	efficient	ADJ
sc-1112	80	5	enough	enough	ADV
sc-1112	80	6	to	to	PART
sc-1112	80	7	predict	predict	VERB
sc-1112	80	8	air	air	NOUN
sc-1112	80	9	pollution	pollution	NOUN
sc-1112	80	10	levels	level	NOUN
sc-1112	80	11	for	for	ADP
sc-1112	80	12	each	each	DET
sc-1112	80	13	monitoring	monitoring	NOUN
sc-1112	80	14	station	station	NOUN
sc-1112	80	15	and	and	CCONJ
sc-1112	80	16	also	also	ADV
sc-1112	80	17	for	for	ADP
sc-1112	80	18	unmeasured	unmeasured	ADJ
sc-1112	80	19	locations	location	NOUN
sc-1112	80	20	(	(	PUNCT
sc-1112	80	21	cressie	cressie	NOUN
sc-1112	80	22	1990	1990	NUM
sc-1112	80	23	)	)	PUNCT
sc-1112	80	24	but	but	CCONJ
sc-1112	80	25	these	these	DET
sc-1112	80	26	models	model	NOUN
sc-1112	80	27	have	have	VERB
sc-1112	80	28	limited	limit	VERB
sc-1112	80	29	prediction	prediction	NOUN
sc-1112	80	30	performance	performance	NOUN
sc-1112	80	31	due	due	ADP
sc-1112	80	32	to	to	ADP
sc-1112	80	33	default	default	VERB
sc-1112	80	34	predefined	predefine	VERB
sc-1112	80	35	parameter	parameter	NOUN
sc-1112	80	36	settings	setting	NOUN
sc-1112	80	37	.	.	PUNCT
sc-1112	81	1	to	to	PART
sc-1112	81	2	overcome	overcome	VERB
sc-1112	81	3	these	these	DET
sc-1112	81	4	types	type	NOUN
sc-1112	81	5	of	of	ADP
sc-1112	81	6	limitations	limitation	NOUN
sc-1112	81	7	of	of	ADP
sc-1112	81	8	spatial	spatial	ADJ
sc-1112	81	9	prediction	prediction	NOUN
sc-1112	81	10	models	model	NOUN
sc-1112	81	11	,	,	PUNCT
sc-1112	81	12	recently	recently	ADV
sc-1112	81	13	,	,	PUNCT
sc-1112	81	14	many	many	ADJ
sc-1112	81	15	research	research	NOUN
sc-1112	81	16	studies	study	NOUN
sc-1112	81	17	have	have	AUX
sc-1112	81	18	adopted	adopt	VERB
sc-1112	81	19	machine	machine	NOUN
sc-1112	81	20	learning	learn	VERB
sc-1112	81	21	techniques	technique	NOUN
sc-1112	81	22	for	for	ADP
sc-1112	81	23	spatial	spatial	ADJ
sc-1112	81	24	prediction	prediction	NOUN
sc-1112	81	25	of	of	ADP
sc-1112	81	26	air	air	NOUN
sc-1112	81	27	quality	quality	NOUN
sc-1112	81	28	data	datum	NOUN
sc-1112	81	29	,	,	PUNCT
sc-1112	81	30	such	such	ADJ
sc-1112	81	31	as	as	ADP
sc-1112	81	32	radial	radial	ADJ
sc-1112	81	33	basis	basis	NOUN
sc-1112	81	34	function	function	NOUN
sc-1112	81	35	(	(	PUNCT
sc-1112	81	36	rbf	rbf	PROPN
sc-1112	81	37	)	)	PUNCT
sc-1112	81	38	(	(	PUNCT
sc-1112	81	39	zou	zou	X
sc-1112	81	40	et	et	PROPN
sc-1112	81	41	al	al	PROPN
sc-1112	81	42	.	.	PROPN
sc-1112	81	43	2015	2015	NUM
sc-1112	81	44	)	)	PUNCT
sc-1112	81	45	and	and	CCONJ
sc-1112	81	46	artificial	artificial	ADJ
sc-1112	81	47	neural	neural	ADJ
sc-1112	81	48	network	network	NOUN
sc-1112	81	49	(	(	PUNCT
sc-1112	81	50	ann	ann	PROPN
sc-1112	81	51	)	)	PUNCT
sc-1112	81	52	(	(	PUNCT
sc-1112	81	53	nevtipilova	nevtipilova	VERB
sc-1112	81	54	et	et	PROPN
sc-1112	81	55	al	al	PROPN
sc-1112	81	56	.	.	PROPN
sc-1112	81	57	2014	2014	NUM
sc-1112	81	58	)	)	PUNCT
sc-1112	81	59	.	.	PUNCT
sc-1112	82	1	but	but	CCONJ
sc-1112	82	2	their	their	PRON
sc-1112	82	3	prediction	prediction	NOUN
sc-1112	82	4	accuracy	accuracy	NOUN
sc-1112	82	5	could	could	AUX
sc-1112	82	6	be	be	AUX
sc-1112	82	7	limited	limit	VERB
sc-1112	82	8	due	due	ADP
sc-1112	82	9	to	to	ADP
sc-1112	82	10	lack	lack	NOUN
sc-1112	82	11	of	of	ADP
sc-1112	82	12	temporal	temporal	ADJ
sc-1112	82	13	analysis	analysis	NOUN
sc-1112	82	14	.	.	PUNCT
sc-1112	83	1	due	due	ADP
sc-1112	83	2	to	to	ADP
sc-1112	83	3	the	the	DET
sc-1112	83	4	absence	absence	NOUN
sc-1112	83	5	of	of	ADP
sc-1112	83	6	temporal	temporal	ADJ
sc-1112	83	7	parameter	parameter	NOUN
sc-1112	83	8	analysis	analysis	NOUN
sc-1112	83	9	,	,	PUNCT
sc-1112	83	10	these	these	DET
sc-1112	83	11	models	model	NOUN
sc-1112	83	12	can	can	AUX
sc-1112	83	13	not	not	PART
sc-1112	83	14	predict	predict	VERB
sc-1112	83	15	the	the	DET
sc-1112	83	16	spatial	spatial	ADJ
sc-1112	83	17	distribution	distribution	NOUN
sc-1112	83	18	of	of	ADP
sc-1112	83	19	air	air	NOUN
sc-1112	83	20	pollution	pollution	NOUN
sc-1112	83	21	for	for	ADP
sc-1112	83	22	different	different	ADJ
sc-1112	83	23	period	period	NOUN
sc-1112	83	24	i.e.	i.e.	ADV
sc-1112	83	25	,	,	PUNCT
sc-1112	83	26	for	for	ADP
sc-1112	83	27	short	short	ADJ
sc-1112	83	28	term	term	NOUN
sc-1112	83	29	and	and	CCONJ
sc-1112	83	30	long	long	ADJ
sc-1112	83	31	term	term	NOUN
sc-1112	83	32	periods	period	NOUN
sc-1112	83	33	.	.	PUNCT
sc-1112	84	1	though	though	SCONJ
sc-1112	84	2	the	the	DET
sc-1112	84	3	discussed	discuss	VERB
sc-1112	84	4	models	model	NOUN
sc-1112	84	5	are	be	AUX
sc-1112	84	6	efficient	efficient	ADJ
sc-1112	84	7	enough	enough	ADV
sc-1112	84	8	to	to	PART
sc-1112	84	9	predict	predict	VERB
sc-1112	84	10	the	the	DET
sc-1112	84	11	spatial	spatial	ADJ
sc-1112	84	12	distribution	distribution	NOUN
sc-1112	84	13	of	of	ADP
sc-1112	84	14	pollutants	pollutant	NOUN
sc-1112	84	15	for	for	ADP
sc-1112	84	16	the	the	DET
sc-1112	84	17	current	current	ADJ
sc-1112	84	18	time	time	NOUN
sc-1112	84	19	,	,	PUNCT
sc-1112	84	20	not	not	PART
sc-1112	84	21	for	for	ADP
sc-1112	84	22	the	the	DET
sc-1112	84	23	future	future	NOUN
sc-1112	84	24	,	,	PUNCT
sc-1112	84	25	these	these	PRON
sc-1112	84	26	are	be	AUX
sc-1112	84	27	not	not	PART
sc-1112	84	28	so	so	ADV
sc-1112	84	29	useful	useful	ADJ
sc-1112	84	30	to	to	PART
sc-1112	84	31	make	make	VERB
sc-1112	84	32	proper	proper	ADJ
sc-1112	84	33	decisions	decision	NOUN
sc-1112	84	34	and	and	CCONJ
sc-1112	84	35	safety	safety	NOUN
sc-1112	84	36	measures	measure	NOUN
sc-1112	84	37	in	in	ADP
sc-1112	84	38	advance	advance	NOUN
sc-1112	84	39	.	.	PUNCT
sc-1112	85	1	so	so	ADV
sc-1112	85	2	,	,	PUNCT
sc-1112	85	3	it	it	PRON
sc-1112	85	4	has	have	VERB
sc-1112	85	5	of	of	ADP
sc-1112	85	6	great	great	ADJ
sc-1112	85	7	importance	importance	NOUN
sc-1112	85	8	of	of	ADP
sc-1112	85	9	temporal	temporal	ADJ
sc-1112	85	10	modeling	modeling	NOUN
sc-1112	85	11	for	for	ADP
sc-1112	85	12	air	air	NOUN
sc-1112	85	13	quality	quality	NOUN
sc-1112	85	14	prediction	prediction	NOUN
sc-1112	85	15	.	.	PUNCT
sc-1112	86	1	to	to	PART
sc-1112	86	2	analyze	analyze	VERB
sc-1112	86	3	the	the	DET
sc-1112	86	4	temporal	temporal	ADJ
sc-1112	86	5	component	component	NOUN
sc-1112	86	6	of	of	ADP
sc-1112	86	7	air	air	NOUN
sc-1112	86	8	pollution	pollution	NOUN
sc-1112	86	9	data	datum	NOUN
sc-1112	86	10	set	set	VERB
sc-1112	86	11	,	,	PUNCT
sc-1112	86	12	several	several	ADJ
sc-1112	86	13	machine	machine	NOUN
sc-1112	86	14	learning	learning	NOUN
sc-1112	86	15	based	base	VERB
sc-1112	86	16	uni	uni	ADJ
sc-1112	86	17	-	-	PUNCT
sc-1112	86	18	variate	variate	ADJ
sc-1112	86	19	air	air	NOUN
sc-1112	86	20	quality	quality	NOUN
sc-1112	86	21	prediction	prediction	NOUN
sc-1112	86	22	models	model	NOUN
sc-1112	86	23	adopted	adopt	VERB
sc-1112	86	24	.	.	PUNCT
sc-1112	87	1	linear	linear	PROPN
sc-1112	87	2	regression	regression	NOUN
sc-1112	87	3	,	,	PUNCT
sc-1112	87	4	support	support	NOUN
sc-1112	87	5	vector	vector	NOUN
sc-1112	87	6	machine	machine	NOUN
sc-1112	87	7	(	(	PUNCT
sc-1112	87	8	svm	svm	PROPN
sc-1112	87	9	)	)	PUNCT
sc-1112	87	10	(	(	PUNCT
sc-1112	87	11	suykens	suyken	NOUN
sc-1112	87	12	and	and	CCONJ
sc-1112	87	13	vandewalle	vandewalle	NOUN
sc-1112	87	14	1999	1999	NUM
sc-1112	87	15	;	;	PUNCT
sc-1112	87	16	j.	j.	PROPN
sc-1112	87	17	wang	wang	PROPN
sc-1112	87	18	,	,	PUNCT
sc-1112	87	19	niu	niu	PROPN
sc-1112	87	20	,	,	PUNCT
sc-1112	87	21	and	and	CCONJ
sc-1112	87	22	r.	r.	PROPN
sc-1112	87	23	wang	wang	PROPN
sc-1112	87	24	2017	2017	NUM
sc-1112	87	25	;	;	PUNCT
sc-1112	87	26	shaban	shaban	PROPN
sc-1112	87	27	,	,	PUNCT
sc-1112	87	28	kadri	kadri	PROPN
sc-1112	87	29	,	,	PUNCT
sc-1112	87	30	and	and	CCONJ
sc-1112	87	31	rezk	rezk	PROPN
sc-1112	87	32	2016	2016	NUM
sc-1112	87	33	)	)	PUNCT
sc-1112	87	34	,	,	PUNCT
sc-1112	87	35	random	random	ADJ
sc-1112	87	36	forest	forest	NOUN
sc-1112	87	37	(	(	PUNCT
sc-1112	87	38	rf	rf	NOUN
sc-1112	87	39	)	)	PUNCT
sc-1112	87	40	(	(	PUNCT
sc-1112	87	41	zhu	zhu	X
sc-1112	87	42	et	et	PROPN
sc-1112	87	43	al	al	PROPN
sc-1112	87	44	.	.	PROPN
sc-1112	87	45	2018	2018	NUM
sc-1112	87	46	)	)	PUNCT
sc-1112	87	47	,	,	PUNCT
sc-1112	87	48	decision	decision	NOUN
sc-1112	87	49	tree	tree	NOUN
sc-1112	87	50	(	(	PUNCT
sc-1112	87	51	dt	dt	NOUN
sc-1112	87	52	)	)	PUNCT
sc-1112	87	53	(	(	PUNCT
sc-1112	87	54	safavian	safavian	ADJ
sc-1112	87	55	and	and	CCONJ
sc-1112	87	56	landgrebe	landgrebe	VERB
sc-1112	87	57	1991	1991	NUM
sc-1112	87	58	)	)	PUNCT
sc-1112	87	59	,	,	PUNCT
sc-1112	87	60	xgboost	xgboost	ADV
sc-1112	87	61	,	,	PUNCT
sc-1112	87	62	multi	multi	ADJ
sc-1112	87	63	-	-	ADJ
sc-1112	87	64	layer	layer	ADJ
sc-1112	87	65	perceptron	perceptron	NOUN
sc-1112	87	66	(	(	PUNCT
sc-1112	87	67	mlp	mlp	PROPN
sc-1112	87	68	)	)	PUNCT
sc-1112	87	69	are	be	AUX
sc-1112	87	70	the	the	DET
sc-1112	87	71	mostly	mostly	ADV
sc-1112	87	72	used	use	VERB
sc-1112	87	73	univariate	univariate	ADJ
sc-1112	87	74	time	time	NOUN
sc-1112	87	75	series	series	NOUN
sc-1112	87	76	prediction	prediction	NOUN
sc-1112	87	77	models	model	NOUN
sc-1112	87	78	.	.	PUNCT
sc-1112	88	1	uni	uni	ADJ
sc-1112	88	2	-	-	PUNCT
sc-1112	88	3	variate	variate	ADJ
sc-1112	88	4	prediction	prediction	NOUN
sc-1112	88	5	models	model	NOUN
sc-1112	88	6	failed	fail	VERB
sc-1112	88	7	to	to	PART
sc-1112	88	8	analyze	analyze	VERB
sc-1112	88	9	the	the	DET
sc-1112	88	10	temporal	temporal	ADJ
sc-1112	88	11	and	and	CCONJ
sc-1112	88	12	spatial	spatial	ADJ
sc-1112	88	13	components	component	NOUN
sc-1112	88	14	simultaneously	simultaneously	ADV
sc-1112	88	15	.	.	PUNCT
sc-1112	89	1	these	these	DET
sc-1112	89	2	univariate	univariate	ADJ
sc-1112	89	3	models	model	NOUN
sc-1112	89	4	also	also	ADV
sc-1112	89	5	do	do	AUX
sc-1112	89	6	not	not	PART
sc-1112	89	7	support	support	VERB
sc-1112	89	8	correlation	correlation	NOUN
sc-1112	89	9	analysis	analysis	NOUN
sc-1112	89	10	among	among	ADP
sc-1112	89	11	meteorological	meteorological	ADJ
sc-1112	89	12	factors	factor	NOUN
sc-1112	89	13	e.g.	e.g.	ADV
sc-1112	89	14	,	,	PUNCT
sc-1112	89	15	atmospheric	atmospheric	ADJ
sc-1112	89	16	temperature	temperature	NOUN
sc-1112	89	17	,	,	PUNCT
sc-1112	89	18	rainfall	rainfall	NOUN
sc-1112	89	19	,	,	PUNCT
sc-1112	89	20	wind	wind	NOUN
sc-1112	89	21	speed	speed	NOUN
sc-1112	89	22	(	(	PUNCT
sc-1112	89	23	ws	ws	NOUN
sc-1112	89	24	)	)	PUNCT
sc-1112	89	25	,	,	PUNCT
sc-1112	89	26	wind	wind	NOUN
sc-1112	89	27	direction	direction	NOUN
sc-1112	89	28	(	(	PUNCT
sc-1112	89	29	wd	wd	PROPN
sc-1112	89	30	)	)	PUNCT
sc-1112	89	31	,	,	PUNCT
sc-1112	89	32	relative	relative	ADJ
sc-1112	89	33	humidity	humidity	NOUN
sc-1112	89	34	(	(	PUNCT
sc-1112	89	35	rh	rh	PROPN
sc-1112	89	36	)	)	PUNCT
sc-1112	89	37	and	and	CCONJ
sc-1112	89	38	air	air	NOUN
sc-1112	89	39	pollution	pollution	NOUN
sc-1112	89	40	.	.	PUNCT
sc-1112	90	1	to	to	PART
sc-1112	90	2	get	get	AUX
sc-1112	90	3	rid	rid	VERB
sc-1112	90	4	of	of	ADP
sc-1112	90	5	this	this	DET
sc-1112	90	6	issue	issue	NOUN
sc-1112	90	7	,	,	PUNCT
sc-1112	91	1	deep	deep	ADJ
sc-1112	91	2	learning	learning	NOUN
sc-1112	91	3	techniques	technique	NOUN
sc-1112	91	4	evolved	evolve	VERB
sc-1112	91	5	with	with	ADP
sc-1112	91	6	the	the	DET
sc-1112	91	7	increasing	increase	VERB
sc-1112	91	8	demand	demand	NOUN
sc-1112	91	9	of	of	ADP
sc-1112	91	10	artificial	artificial	ADJ
sc-1112	91	11	intelligence	intelligence	NOUN
sc-1112	91	12	techniques	technique	NOUN
sc-1112	91	13	.	.	PUNCT
sc-1112	92	1	initially	initially	ADV
sc-1112	92	2	,	,	PUNCT
sc-1112	92	3	deep	deep	ADJ
sc-1112	92	4	learning	learning	NOUN
sc-1112	92	5	-	-	PUNCT
sc-1112	92	6	based	base	VERB
sc-1112	92	7	artificial	artificial	ADJ
sc-1112	92	8	neural	neural	ADJ
sc-1112	92	9	network	network	NOUN
sc-1112	92	10	(	(	PUNCT
sc-1112	92	11	ann	ann	PROPN
sc-1112	92	12	)	)	PUNCT
sc-1112	92	13	experimented	experiment	VERB
sc-1112	92	14	for	for	ADP
sc-1112	92	15	air	air	NOUN
sc-1112	92	16	quality	quality	NOUN
sc-1112	92	17	prediction	prediction	NOUN
sc-1112	92	18	.	.	PUNCT
sc-1112	93	1	ann	ann	PROPN
sc-1112	93	2	was	be	AUX
sc-1112	93	3	originated	originate	VERB
sc-1112	93	4	in	in	ADP
sc-1112	93	5	the	the	DET
sc-1112	93	6	1970s	1970	NOUN
sc-1112	93	7	.	.	PUNCT
sc-1112	94	1	usually	usually	ADV
sc-1112	94	2	,	,	PUNCT
sc-1112	94	3	it	it	PRON
sc-1112	94	4	has	have	VERB
sc-1112	94	5	one	one	NUM
sc-1112	94	6	input	input	NOUN
sc-1112	94	7	,	,	PUNCT
sc-1112	94	8	one	one	NUM
sc-1112	94	9	output	output	NOUN
sc-1112	94	10	,	,	PUNCT
sc-1112	94	11	and	and	CCONJ
sc-1112	94	12	multiple	multiple	ADJ
sc-1112	94	13	hidden	hide	VERB
sc-1112	94	14	states	state	NOUN
sc-1112	94	15	.	.	PUNCT
sc-1112	95	1	in	in	ADP
sc-1112	95	2	ann	ann	PROPN
sc-1112	95	3	,	,	PUNCT
sc-1112	95	4	the	the	DET
sc-1112	95	5	weight	weight	NOUN
sc-1112	95	6	calculation	calculation	NOUN
sc-1112	95	7	of	of	ADP
sc-1112	95	8	input	input	NOUN
sc-1112	95	9	data	datum	NOUN
sc-1112	95	10	is	be	AUX
sc-1112	95	11	treated	treat	VERB
sc-1112	95	12	as	as	ADP
sc-1112	95	13	neurons	neuron	NOUN
sc-1112	95	14	for	for	ADP
sc-1112	95	15	the	the	DET
sc-1112	95	16	next	next	ADJ
sc-1112	95	17	layer	layer	NOUN
sc-1112	95	18	.	.	PUNCT
sc-1112	96	1	however	however	ADV
sc-1112	96	2	,	,	PUNCT
sc-1112	96	3	when	when	SCONJ
sc-1112	96	4	it	it	PRON
sc-1112	96	5	comes	come	VERB
sc-1112	96	6	to	to	ADP
sc-1112	96	7	handling	handle	VERB
sc-1112	96	8	time	time	NOUN
sc-1112	96	9	series	series	PROPN
sc-1112	96	10	data	data	PROPN
sc-1112	96	11	set	set	PROPN
sc-1112	96	12	,	,	PUNCT
sc-1112	96	13	the	the	DET
sc-1112	96	14	ann	ann	PROPN
sc-1112	96	15	network	network	NOUN
sc-1112	96	16	is	be	AUX
sc-1112	96	17	unable	unable	ADJ
sc-1112	96	18	to	to	PART
sc-1112	96	19	handle	handle	VERB
sc-1112	96	20	longer	long	ADJ
sc-1112	96	21	sequence	sequence	NOUN
sc-1112	96	22	data	datum	NOUN
sc-1112	96	23	,	,	PUNCT
sc-1112	96	24	and	and	CCONJ
sc-1112	96	25	can	can	AUX
sc-1112	96	26	not	not	PART
sc-1112	96	27	relate	relate	VERB
sc-1112	96	28	the	the	DET
sc-1112	96	29	current	current	ADJ
sc-1112	96	30	and	and	CCONJ
sc-1112	96	31	future	future	ADJ
sc-1112	96	32	data	datum	NOUN
sc-1112	96	33	with	with	ADP
sc-1112	96	34	historical	historical	ADJ
sc-1112	96	35	data	datum	NOUN
sc-1112	96	36	.	.	PUNCT
sc-1112	97	1	to	to	PART
sc-1112	97	2	resolve	resolve	VERB
sc-1112	97	3	these	these	DET
sc-1112	97	4	issues	issue	NOUN
sc-1112	97	5	,	,	PUNCT
sc-1112	97	6	research	research	NOUN
sc-1112	97	7	scholars	scholar	NOUN
sc-1112	97	8	developed	develop	VERB
sc-1112	97	9	a	a	DET
sc-1112	97	10	recurrent	recurrent	ADJ
sc-1112	97	11	neural	neural	ADJ
sc-1112	97	12	network	network	NOUN
sc-1112	97	13	(	(	PUNCT
sc-1112	97	14	rnn	rnn	PROPN
sc-1112	97	15	)	)	PUNCT
sc-1112	97	16	(	(	PUNCT
sc-1112	97	17	fan	fan	NOUN
sc-1112	97	18	et	et	PROPN
sc-1112	97	19	al	al	PROPN
sc-1112	97	20	.	.	PROPN
sc-1112	97	21	2017	2017	NUM
sc-1112	97	22	)	)	PUNCT
sc-1112	97	23	,	,	PUNCT
sc-1112	97	24	which	which	PRON
sc-1112	97	25	is	be	AUX
sc-1112	97	26	based	base	VERB
sc-1112	97	27	on	on	ADP
sc-1112	97	28	the	the	DET
sc-1112	97	29	ann	ann	PROPN
sc-1112	97	30	network	network	NOUN
sc-1112	97	31	.	.	PUNCT
sc-1112	98	1	it	it	PRON
sc-1112	98	2	takes	take	VERB
sc-1112	98	3	the	the	DET
sc-1112	98	4	output	output	NOUN
sc-1112	98	5	of	of	ADP
sc-1112	98	6	the	the	DET
sc-1112	98	7	first	first	ADJ
sc-1112	98	8	layer	layer	NOUN
sc-1112	98	9	as	as	ADP
sc-1112	98	10	input	input	NOUN
sc-1112	98	11	to	to	ADP
sc-1112	98	12	the	the	DET
sc-1112	98	13	next	next	ADJ
sc-1112	98	14	layer	layer	NOUN
sc-1112	98	15	,	,	PUNCT
sc-1112	98	16	so	so	CCONJ
sc-1112	98	17	it	it	PRON
sc-1112	98	18	is	be	AUX
sc-1112	98	19	able	able	ADJ
sc-1112	98	20	to	to	PART
sc-1112	98	21	transfer	transfer	VERB
sc-1112	98	22	weight	weight	NOUN
sc-1112	98	23	as	as	ADP
sc-1112	98	24	a	a	DET
sc-1112	98	25	neuron	neuron	NOUN
sc-1112	98	26	.	.	PUNCT
sc-1112	99	1	however	however	ADV
sc-1112	99	2	,	,	PUNCT
sc-1112	99	3	when	when	SCONJ
sc-1112	99	4	it	it	PRON
sc-1112	99	5	comes	come	VERB
sc-1112	99	6	to	to	ADP
sc-1112	99	7	dealing	deal	VERB
sc-1112	99	8	with	with	ADP
sc-1112	99	9	more	more	ADV
sc-1112	99	10	extended	extended	ADJ
sc-1112	99	11	sequential	sequential	ADJ
sc-1112	99	12	data	datum	NOUN
sc-1112	99	13	,	,	PUNCT
sc-1112	99	14	it	it	PRON
sc-1112	99	15	can	can	AUX
sc-1112	99	16	not	not	PART
sc-1112	99	17	deal	deal	VERB
sc-1112	99	18	with	with	ADP
sc-1112	99	19	them	they	PRON
sc-1112	99	20	.	.	PUNCT
sc-1112	100	1	as	as	SCONJ
sc-1112	100	2	sequential	sequential	ADJ
sc-1112	100	3	time	time	NOUN
sc-1112	100	4	series	series	PROPN
sc-1112	100	5	air	air	PROPN
sc-1112	100	6	pollution	pollution	PROPN
sc-1112	100	7	data	datum	NOUN
sc-1112	100	8	has	have	VERB
sc-1112	100	9	a	a	DET
sc-1112	100	10	longer	long	ADJ
sc-1112	100	11	dependency	dependency	NOUN
sc-1112	100	12	on	on	ADP
sc-1112	100	13	past	past	ADJ
sc-1112	100	14	observation	observation	NOUN
sc-1112	100	15	due	due	ADP
sc-1112	100	16	to	to	PART
sc-1112	100	17	effect	effect	VERB
sc-1112	100	18	meteorological	meteorological	ADJ
sc-1112	100	19	factors	factor	NOUN
sc-1112	100	20	.	.	PUNCT
sc-1112	101	1	it	it	PRON
sc-1112	101	2	is	be	AUX
sc-1112	101	3	better	well	ADJ
sc-1112	101	4	to	to	PART
sc-1112	101	5	use	use	VERB
sc-1112	101	6	a	a	DET
sc-1112	101	7	model	model	NOUN
sc-1112	101	8	that	that	PRON
sc-1112	101	9	can	can	AUX
sc-1112	101	10	deal	deal	VERB
sc-1112	101	11	with	with	ADP
sc-1112	101	12	this	this	DET
sc-1112	101	13	type	type	NOUN
sc-1112	101	14	of	of	ADP
sc-1112	101	15	issue	issue	NOUN
sc-1112	101	16	.	.	PUNCT
sc-1112	102	1	but	but	CCONJ
sc-1112	102	2	rnn	rnn	NOUN
sc-1112	102	3	can	can	AUX
sc-1112	102	4	not	not	PART
sc-1112	102	5	capture	capture	VERB
sc-1112	102	6	the	the	DET
sc-1112	102	7	long	long	ADJ
sc-1112	102	8	term	term	NOUN
sc-1112	102	9	dependency	dependency	NOUN
sc-1112	102	10	of	of	ADP
sc-1112	102	11	long	long	ADJ
sc-1112	102	12	sequential	sequential	ADJ
sc-1112	102	13	air	air	NOUN
sc-1112	102	14	pollution	pollution	NOUN
sc-1112	102	15	data	datum	NOUN
sc-1112	102	16	.	.	PUNCT
sc-1112	103	1	it	it	PRON
sc-1112	103	2	is	be	AUX
sc-1112	103	3	also	also	ADV
sc-1112	103	4	very	very	ADV
sc-1112	103	5	challenging	challenging	ADJ
sc-1112	103	6	to	to	PART
sc-1112	103	7	train	train	VERB
sc-1112	103	8	the	the	DET
sc-1112	103	9	rnn	rnn	NOUN
sc-1112	103	10	model	model	NOUN
sc-1112	103	11	due	due	ADP
sc-1112	103	12	to	to	ADP
sc-1112	103	13	gradient	gradient	NOUN
sc-1112	103	14	vanishing	vanishing	NOUN
sc-1112	103	15	and	and	CCONJ
sc-1112	103	16	exploding	explode	VERB
sc-1112	103	17	issues	issue	NOUN
sc-1112	103	18	.	.	PUNCT
sc-1112	104	1	to	to	PART
sc-1112	104	2	address	address	VERB
sc-1112	104	3	these	these	DET
sc-1112	104	4	problems	problem	NOUN
sc-1112	104	5	,	,	PUNCT
sc-1112	104	6	hochreiter	hochreiter	PROPN
sc-1112	104	7	proposed	propose	VERB
sc-1112	104	8	lstm	lstm	PROPN
sc-1112	104	9	model	model	NOUN
sc-1112	104	10	(	(	PUNCT
sc-1112	104	11	fu	fu	PROPN
sc-1112	104	12	,	,	PUNCT
sc-1112	104	13	z.	z.	PROPN
sc-1112	104	14	zhang	zhang	PROPN
sc-1112	104	15	,	,	PUNCT
sc-1112	104	16	and	and	CCONJ
sc-1112	104	17	l.	l.	PROPN
sc-1112	104	18	li	li	PROPN
sc-1112	104	19	2016	2016	NUM
sc-1112	104	20	;	;	PUNCT
sc-1112	104	21	b.	b.	PROPN
sc-1112	104	22	wang	wang	PROPN
sc-1112	104	23	,	,	PUNCT
sc-1112	104	24	kong	kong	PROPN
sc-1112	104	25	,	,	PUNCT
sc-1112	104	26	and	and	CCONJ
sc-1112	104	27	guan	guan	PROPN
sc-1112	104	28	2019	2019	NUM
sc-1112	104	29	)	)	PUNCT
sc-1112	104	30	in	in	ADP
sc-1112	104	31	1997	1997	NUM
sc-1112	104	32	,	,	PUNCT
sc-1112	104	33	and	and	CCONJ
sc-1112	104	34	kyunghyun	kyunghyun	VERB
sc-1112	104	35	developed	develop	VERB
sc-1112	104	36	gated	gate	VERB
sc-1112	104	37	recurrent	recurrent	ADJ
sc-1112	104	38	unit	unit	NOUN
sc-1112	104	39	(	(	PUNCT
sc-1112	104	40	gru	gru	PROPN
sc-1112	104	41	)	)	PUNCT
sc-1112	104	42	(	(	PUNCT
sc-1112	104	43	fu	fu	PROPN
sc-1112	104	44	,	,	PUNCT
sc-1112	104	45	z.	z.	PROPN
sc-1112	104	46	zhang	zhang	PROPN
sc-1112	104	47	,	,	PUNCT
sc-1112	104	48	and	and	CCONJ
sc-1112	104	49	l.	l.	PROPN
sc-1112	104	50	li	li	PROPN
sc-1112	104	51	2016	2016	NUM
sc-1112	104	52	;	;	PUNCT
sc-1112	104	53	tao	tao	PROPN
sc-1112	104	54	et	et	PROPN
sc-1112	104	55	al	al	PROPN
sc-1112	104	56	.	.	PROPN
sc-1112	104	57	2019	2019	NUM
sc-1112	104	58	)	)	PUNCT
sc-1112	104	59	network	network	NOUN
sc-1112	104	60	to	to	PART
sc-1112	104	61	handle	handle	VERB
sc-1112	104	62	long	long	ADJ
sc-1112	104	63	term	term	NOUN
sc-1112	104	64	dependency	dependency	NOUN
sc-1112	104	65	in	in	ADP
sc-1112	104	66	sequential	sequential	ADJ
sc-1112	104	67	time	time	NOUN
sc-1112	104	68	series	series	PROPN
sc-1112	104	69	data	datum	NOUN
sc-1112	104	70	in	in	ADP
sc-1112	104	71	2014	2014	NUM
sc-1112	104	72	.	.	PUNCT
sc-1112	105	1	though	though	SCONJ
sc-1112	105	2	the	the	DET
sc-1112	105	3	gru	gru	NOUN
sc-1112	105	4	model	model	NOUN
sc-1112	105	5	requires	require	VERB
sc-1112	105	6	less	less	ADJ
sc-1112	105	7	parameter	parameter	NOUN
sc-1112	105	8	and	and	CCONJ
sc-1112	105	9	less	less	ADJ
sc-1112	105	10	time	time	NOUN
sc-1112	105	11	to	to	PART
sc-1112	105	12	train	train	VERB
sc-1112	105	13	,	,	PUNCT
sc-1112	105	14	lstm	lstm	NOUN
sc-1112	105	15	is	be	AUX
sc-1112	105	16	proved	prove	VERB
sc-1112	105	17	as	as	ADP
sc-1112	105	18	a	a	DET
sc-1112	105	19	more	more	ADV
sc-1112	105	20	accurate	accurate	ADJ
sc-1112	105	21	prediction	prediction	NOUN
sc-1112	105	22	model	model	NOUN
sc-1112	105	23	for	for	ADP
sc-1112	105	24	longer	long	ADJ
sc-1112	105	25	sequential	sequential	ADJ
sc-1112	105	26	data	datum	NOUN
sc-1112	105	27	.	.	PUNCT
sc-1112	106	1	it	it	PRON
sc-1112	106	2	is	be	AUX
sc-1112	106	3	also	also	ADV
sc-1112	106	4	seen	see	VERB
sc-1112	106	5	that	that	SCONJ
sc-1112	106	6	a	a	DET
sc-1112	106	7	combination	combination	NOUN
sc-1112	106	8	of	of	ADP
sc-1112	106	9	multiple	multiple	ADJ
sc-1112	106	10	models	model	NOUN
sc-1112	106	11	has	have	VERB
sc-1112	106	12	better	well	ADJ
sc-1112	106	13	prediction	prediction	NOUN
sc-1112	106	14	performance	performance	NOUN
sc-1112	106	15	than	than	ADP
sc-1112	106	16	shallow	shallow	ADJ
sc-1112	106	17	prediction	prediction	NOUN
sc-1112	106	18	models	model	NOUN
sc-1112	106	19	.	.	PUNCT
sc-1112	107	1	chioujye	chioujye	VERB
sc-1112	107	2	et	et	PROPN
sc-1112	107	3	al	al	PROPN
sc-1112	107	4	.	.	PROPN
sc-1112	108	1	(	(	PUNCT
sc-1112	108	2	huang	huang	PROPN
sc-1112	108	3	and	and	CCONJ
sc-1112	108	4	kuo	kuo	PROPN
sc-1112	108	5	2018	2018	NUM
sc-1112	108	6	)	)	PUNCT
sc-1112	108	7	presented	present	VERB
sc-1112	108	8	a	a	DET
sc-1112	108	9	spatiotemporal	spatiotemporal	ADJ
sc-1112	108	10	cnn	cnn	PROPN
sc-1112	108	11	-	-	PUNCT
sc-1112	108	12	lstm	lstm	PROPN
sc-1112	108	13	model	model	NOUN
sc-1112	108	14	to	to	PART
sc-1112	108	15	estimate	estimate	VERB
sc-1112	108	16	air	air	NOUN
sc-1112	108	17	quality	quality	NOUN
sc-1112	108	18	prediction	prediction	NOUN
sc-1112	108	19	level	level	NOUN
sc-1112	108	20	,	,	PUNCT
sc-1112	108	21	which	which	PRON
sc-1112	108	22	can	can	AUX
sc-1112	108	23	capture	capture	VERB
sc-1112	108	24	both	both	CCONJ
sc-1112	108	25	spatial	spatial	ADJ
sc-1112	108	26	and	and	CCONJ
sc-1112	108	27	temporal	temporal	ADJ
sc-1112	108	28	features	feature	NOUN
sc-1112	108	29	available	available	ADJ
sc-1112	108	30	in	in	ADP
sc-1112	108	31	time	time	NOUN
sc-1112	108	32	series	series	PROPN
sc-1112	108	33	pollution	pollution	NOUN
sc-1112	108	34	dataset	dataset	NOUN
sc-1112	108	35	.	.	PUNCT
sc-1112	109	1	it	it	PRON
sc-1112	109	2	can	can	AUX
sc-1112	109	3	also	also	ADV
sc-1112	109	4	capture	capture	VERB
sc-1112	109	5	long	long	ADJ
sc-1112	109	6	term	term	NOUN
sc-1112	109	7	dependency	dependency	NOUN
sc-1112	109	8	on	on	ADP
sc-1112	109	9	the	the	DET
sc-1112	109	10	air	air	NOUN
sc-1112	109	11	pollution	pollution	NOUN
sc-1112	109	12	dataset	dataset	NOUN
sc-1112	109	13	.	.	PUNCT
sc-1112	110	1	it	it	PRON
sc-1112	110	2	combined	combine	VERB
sc-1112	110	3	the	the	DET
sc-1112	110	4	wind	wind	NOUN
sc-1112	110	5	speed	speed	NOUN
sc-1112	110	6	,	,	PUNCT
sc-1112	110	7	rainfall	rainfall	NOUN
sc-1112	110	8	,	,	PUNCT
sc-1112	110	9	and	and	CCONJ
sc-1112	110	10	pm2.5	pm2.5	DET
sc-1112	110	11	concentration	concentration	NOUN
sc-1112	110	12	information	information	NOUN
sc-1112	110	13	to	to	PART
sc-1112	110	14	train	train	VERB
sc-1112	110	15	the	the	DET
sc-1112	110	16	model	model	NOUN
sc-1112	110	17	for	for	ADP
sc-1112	110	18	air	air	NOUN
sc-1112	110	19	pollution	pollution	NOUN
sc-1112	110	20	prediction	prediction	NOUN
sc-1112	110	21	.	.	PUNCT
sc-1112	111	1	haofei	haofei	NOUN
sc-1112	111	2	xie	xie	PROPN
sc-1112	111	3	et	et	PROPN
sc-1112	111	4	al	al	PROPN
sc-1112	111	5	.	.	PUNCT
sc-1112	112	1	(	(	PUNCT
sc-1112	112	2	h.	h.	PROPN
sc-1112	112	3	xie	xie	PROPN
sc-1112	112	4	et	et	PROPN
sc-1112	112	5	al	al	PROPN
sc-1112	112	6	.	.	PROPN
sc-1112	112	7	2019	2019	NUM
sc-1112	112	8	)	)	PUNCT
sc-1112	112	9	developed	develop	VERB
sc-1112	112	10	the	the	DET
sc-1112	112	11	cnn	cnn	PROPN
sc-1112	112	12	-	-	PUNCT
sc-1112	112	13	gru	gru	PROPN
sc-1112	112	14	model	model	NOUN
sc-1112	112	15	,	,	PUNCT
sc-1112	112	16	which	which	PRON
sc-1112	112	17	can	can	AUX
sc-1112	112	18	automatically	automatically	ADV
sc-1112	112	19	extract	extract	VERB
sc-1112	112	20	the	the	DET
sc-1112	112	21	spatiotemporal	spatiotemporal	ADJ
sc-1112	112	22	3	3	NUM
sc-1112	112	23	eai	eai	NOUN
sc-1112	112	24	endorsed	endorse	VERB
sc-1112	112	25	transactions	transaction	NOUN
sc-1112	112	26	on	on	ADP
sc-1112	112	27	smart	smart	ADJ
sc-1112	112	28	cities	city	NOUN
sc-1112	112	29	01	01	NUM
sc-1112	112	30	2021	2021	NUM
sc-1112	112	31	04	04	NUM
sc-1112	112	32	2021	2021	NUM
sc-1112	113	1	|	|	ADV
sc-1112	113	2	volume	volume	NOUN
sc-1112	113	3	5	5	NUM
sc-1112	113	4	|	|	ADV
sc-1112	113	5	issue	issue	NOUN
sc-1112	113	6	14	14	NUM
sc-1112	113	7	|	|	NOUN
sc-1112	113	8	e4	e4	PROPN
sc-1112	113	9	k.krishna	k.krishna	VERB
sc-1112	114	1	rani	rani	PROPN
sc-1112	114	2	samal	samal	PROPN
sc-1112	114	3	et	et	PROPN
sc-1112	114	4	al	al	PROPN
sc-1112	114	5	.	.	PROPN
sc-1112	114	6	components	component	NOUN
sc-1112	114	7	of	of	ADP
sc-1112	114	8	multidimensional	multidimensional	ADJ
sc-1112	114	9	and	and	CCONJ
sc-1112	114	10	multi	multi	ADJ
sc-1112	114	11	-	-	ADJ
sc-1112	114	12	station	station	ADJ
sc-1112	114	13	data	datum	NOUN
sc-1112	114	14	.	.	PUNCT
sc-1112	115	1	it	it	PRON
sc-1112	115	2	also	also	ADV
sc-1112	115	3	analyzes	analyze	VERB
sc-1112	115	4	the	the	DET
sc-1112	115	5	impact	impact	NOUN
sc-1112	115	6	of	of	ADP
sc-1112	115	7	meteorological	meteorological	ADJ
sc-1112	115	8	factors	factor	NOUN
sc-1112	115	9	on	on	ADP
sc-1112	115	10	air	air	NOUN
sc-1112	115	11	quality	quality	NOUN
sc-1112	115	12	concentration	concentration	NOUN
sc-1112	115	13	levels	level	NOUN
sc-1112	115	14	for	for	ADP
sc-1112	115	15	short	short	ADJ
sc-1112	115	16	term	term	NOUN
sc-1112	115	17	air	air	NOUN
sc-1112	115	18	pollution	pollution	NOUN
sc-1112	115	19	prediction	prediction	NOUN
sc-1112	115	20	.	.	PUNCT
sc-1112	116	1	despite	despite	SCONJ
sc-1112	116	2	the	the	DET
sc-1112	116	3	memory	memory	NOUN
sc-1112	116	4	capacity	capacity	NOUN
sc-1112	116	5	,	,	PUNCT
sc-1112	116	6	the	the	DET
sc-1112	116	7	self	self	NOUN
sc-1112	116	8	-	-	PUNCT
sc-1112	116	9	learning	learn	VERB
sc-1112	116	10	ability	ability	NOUN
sc-1112	116	11	of	of	ADP
sc-1112	116	12	neural	neural	ADJ
sc-1112	116	13	networks	network	NOUN
sc-1112	116	14	,	,	PUNCT
sc-1112	116	15	these	these	DET
sc-1112	116	16	models	model	NOUN
sc-1112	116	17	failed	fail	VERB
sc-1112	116	18	to	to	PART
sc-1112	116	19	capture	capture	VERB
sc-1112	116	20	the	the	DET
sc-1112	116	21	dependency	dependency	NOUN
sc-1112	116	22	of	of	ADP
sc-1112	116	23	historical	historical	ADJ
sc-1112	116	24	pollution	pollution	NOUN
sc-1112	116	25	level	level	NOUN
sc-1112	116	26	and	and	CCONJ
sc-1112	116	27	the	the	DET
sc-1112	116	28	supporting	support	VERB
sc-1112	116	29	information	information	NOUN
sc-1112	116	30	from	from	ADP
sc-1112	116	31	nearby	nearby	ADJ
sc-1112	116	32	monitoring	monitoring	NOUN
sc-1112	116	33	stations	station	NOUN
sc-1112	116	34	.	.	PUNCT
sc-1112	117	1	therefore	therefore	ADV
sc-1112	117	2	,	,	PUNCT
sc-1112	117	3	unable	unable	ADJ
sc-1112	117	4	to	to	PART
sc-1112	117	5	analyze	analyze	VERB
sc-1112	117	6	the	the	DET
sc-1112	117	7	temporal	temporal	ADJ
sc-1112	117	8	trend	trend	NOUN
sc-1112	117	9	and	and	CCONJ
sc-1112	117	10	spatial	spatial	ADJ
sc-1112	117	11	correlation	correlation	NOUN
sc-1112	117	12	simultaneously	simultaneously	ADV
sc-1112	117	13	.	.	PUNCT
sc-1112	118	1	based	base	VERB
sc-1112	118	2	on	on	ADP
sc-1112	118	3	the	the	DET
sc-1112	118	4	above	above	ADJ
sc-1112	118	5	survey	survey	NOUN
sc-1112	118	6	,	,	PUNCT
sc-1112	118	7	the	the	DET
sc-1112	118	8	present	present	ADJ
sc-1112	118	9	work	work	NOUN
sc-1112	118	10	tried	try	VERB
sc-1112	118	11	to	to	PART
sc-1112	118	12	predict	predict	VERB
sc-1112	118	13	air	air	NOUN
sc-1112	118	14	pollution	pollution	NOUN
sc-1112	118	15	levels	level	NOUN
sc-1112	118	16	at	at	ADP
sc-1112	118	17	a	a	DET
sc-1112	118	18	high	high	ADJ
sc-1112	118	19	spatial	spatial	ADJ
sc-1112	118	20	and	and	CCONJ
sc-1112	118	21	temporal	temporal	ADJ
sc-1112	118	22	resolution	resolution	NOUN
sc-1112	118	23	without	without	ADP
sc-1112	118	24	using	use	VERB
sc-1112	118	25	real	real	ADJ
sc-1112	118	26	-	-	PUNCT
sc-1112	118	27	time	time	NOUN
sc-1112	118	28	sensors	sensor	NOUN
sc-1112	118	29	everywhere	everywhere	ADV
sc-1112	118	30	of	of	ADP
sc-1112	118	31	the	the	DET
sc-1112	118	32	study	study	NOUN
sc-1112	118	33	area	area	NOUN
sc-1112	118	34	to	to	PART
sc-1112	118	35	mitigate	mitigate	VERB
sc-1112	118	36	the	the	DET
sc-1112	118	37	limitation	limitation	NOUN
sc-1112	118	38	of	of	ADP
sc-1112	118	39	existing	exist	VERB
sc-1112	118	40	work	work	NOUN
sc-1112	118	41	and	and	CCONJ
sc-1112	118	42	take	take	VERB
sc-1112	118	43	necessary	necessary	ADJ
sc-1112	118	44	preventive	preventive	ADJ
sc-1112	118	45	action	action	NOUN
sc-1112	118	46	against	against	ADP
sc-1112	118	47	the	the	DET
sc-1112	118	48	dangerous	dangerous	ADJ
sc-1112	118	49	condition	condition	NOUN
sc-1112	118	50	of	of	ADP
sc-1112	118	51	the	the	DET
sc-1112	118	52	air	air	NOUN
sc-1112	118	53	pollution	pollution	NOUN
sc-1112	118	54	.	.	PUNCT
sc-1112	119	1	the	the	DET
sc-1112	119	2	main	main	ADJ
sc-1112	119	3	contribution	contribution	NOUN
sc-1112	119	4	of	of	ADP
sc-1112	119	5	this	this	DET
sc-1112	119	6	research	research	NOUN
sc-1112	119	7	paper	paper	NOUN
sc-1112	119	8	can	can	AUX
sc-1112	119	9	be	be	AUX
sc-1112	119	10	summarized	summarize	VERB
sc-1112	119	11	as	as	ADP
sc-1112	119	12	follows	follow	NOUN
sc-1112	119	13	,	,	PUNCT
sc-1112	119	14	•	•	NOUN
sc-1112	119	15	traditional	traditional	ADJ
sc-1112	119	16	interpolation	interpolation	NOUN
sc-1112	119	17	techniques	technique	NOUN
sc-1112	119	18	support	support	VERB
sc-1112	119	19	spatial	spatial	ADJ
sc-1112	119	20	prediction	prediction	NOUN
sc-1112	119	21	for	for	ADP
sc-1112	119	22	the	the	DET
sc-1112	119	23	present	present	ADJ
sc-1112	119	24	time	time	NOUN
sc-1112	119	25	.	.	PUNCT
sc-1112	120	1	in	in	ADP
sc-1112	120	2	contrast	contrast	NOUN
sc-1112	120	3	,	,	PUNCT
sc-1112	120	4	the	the	DET
sc-1112	120	5	cnn	cnn	PROPN
sc-1112	120	6	-	-	PUNCT
sc-1112	120	7	bilstm	bilstm	NOUN
sc-1112	120	8	-	-	PUNCT
sc-1112	120	9	idw	idw	PROPN
sc-1112	120	10	model	model	NOUN
sc-1112	120	11	utilized	utilize	VERB
sc-1112	120	12	past	past	ADP
sc-1112	120	13	information	information	NOUN
sc-1112	120	14	to	to	PART
sc-1112	120	15	predict	predict	VERB
sc-1112	120	16	the	the	DET
sc-1112	120	17	spatial	spatial	ADJ
sc-1112	120	18	distribution	distribution	NOUN
sc-1112	120	19	of	of	ADP
sc-1112	120	20	air	air	NOUN
sc-1112	120	21	quality	quality	NOUN
sc-1112	120	22	for	for	ADP
sc-1112	120	23	the	the	DET
sc-1112	120	24	future	future	NOUN
sc-1112	120	25	at	at	ADP
sc-1112	120	26	better	well	ADJ
sc-1112	120	27	accuracy	accuracy	NOUN
sc-1112	120	28	.	.	PUNCT
sc-1112	121	1	•	•	NUM
sc-1112	121	2	the	the	DET
sc-1112	121	3	cnn	cnn	PROPN
sc-1112	121	4	-	-	PUNCT
sc-1112	121	5	bilstm	bilstm	NOUN
sc-1112	121	6	-	-	PUNCT
sc-1112	121	7	idw	idw	PROPN
sc-1112	121	8	model	model	NOUN
sc-1112	121	9	can	can	AUX
sc-1112	121	10	effectively	effectively	ADV
sc-1112	121	11	perform	perform	VERB
sc-1112	121	12	spatial	spatial	ADJ
sc-1112	121	13	prediction	prediction	NOUN
sc-1112	121	14	of	of	ADP
sc-1112	121	15	pm10	pm10	PROPN
sc-1112	121	16	level	level	NOUN
sc-1112	121	17	over	over	ADP
sc-1112	121	18	a	a	DET
sc-1112	121	19	long	long	ADJ
sc-1112	121	20	period	period	NOUN
sc-1112	121	21	,	,	PUNCT
sc-1112	121	22	i.e.	i.e.	X
sc-1112	121	23	,	,	PUNCT
sc-1112	121	24	for	for	ADP
sc-1112	121	25	the	the	DET
sc-1112	121	26	next	next	ADJ
sc-1112	121	27	four	four	NUM
sc-1112	121	28	weeks	week	NOUN
sc-1112	121	29	.	.	PUNCT
sc-1112	122	1	•	•	NUM
sc-1112	122	2	the	the	DET
sc-1112	122	3	proposed	propose	VERB
sc-1112	122	4	spatial	spatial	ADJ
sc-1112	122	5	-	-	PUNCT
sc-1112	122	6	temporal	temporal	ADJ
sc-1112	122	7	prediction	prediction	NOUN
sc-1112	122	8	method	method	NOUN
sc-1112	122	9	can	can	AUX
sc-1112	122	10	effectively	effectively	ADV
sc-1112	122	11	solve	solve	VERB
sc-1112	122	12	data	datum	NOUN
sc-1112	122	13	imputation	imputation	NOUN
sc-1112	122	14	problems	problem	NOUN
sc-1112	122	15	for	for	ADP
sc-1112	122	16	air	air	NOUN
sc-1112	122	17	quality	quality	NOUN
sc-1112	122	18	modeling	modeling	NOUN
sc-1112	122	19	by	by	ADP
sc-1112	122	20	recovering	recover	VERB
sc-1112	122	21	missing	miss	VERB
sc-1112	122	22	attributes	attribute	NOUN
sc-1112	122	23	values	value	NOUN
sc-1112	122	24	.	.	PUNCT
sc-1112	123	1	•	•	NUM
sc-1112	123	2	arcgis	arcgis	PROPN
sc-1112	123	3	online	online	PROPN
sc-1112	123	4	is	be	AUX
sc-1112	123	5	utilized	utilize	VERB
sc-1112	123	6	to	to	PART
sc-1112	123	7	develop	develop	VERB
sc-1112	123	8	mobile	mobile	ADJ
sc-1112	123	9	and	and	CCONJ
sc-1112	123	10	web	web	NOUN
sc-1112	123	11	applications	application	NOUN
sc-1112	123	12	to	to	PART
sc-1112	123	13	access	access	VERB
sc-1112	123	14	timely	timely	ADJ
sc-1112	123	15	information	information	NOUN
sc-1112	123	16	.	.	PUNCT
sc-1112	124	1	3	3	X
sc-1112	124	2	.	.	X
sc-1112	124	3	problem	problem	NOUN
sc-1112	124	4	statement	statement	NOUN
sc-1112	124	5	much	much	ADJ
sc-1112	124	6	of	of	ADP
sc-1112	124	7	the	the	DET
sc-1112	124	8	pollution	pollution	NOUN
sc-1112	124	9	data	datum	NOUN
sc-1112	124	10	available	available	ADJ
sc-1112	124	11	for	for	ADP
sc-1112	124	12	different	different	ADJ
sc-1112	124	13	locations	location	NOUN
sc-1112	124	14	are	be	AUX
sc-1112	124	15	sparse	sparse	ADJ
sc-1112	124	16	.	.	PUNCT
sc-1112	125	1	hence	hence	ADV
sc-1112	125	2	,	,	PUNCT
sc-1112	125	3	there	there	PRON
sc-1112	125	4	is	be	VERB
sc-1112	125	5	a	a	DET
sc-1112	125	6	requirement	requirement	NOUN
sc-1112	125	7	for	for	ADP
sc-1112	125	8	predicting	predict	VERB
sc-1112	125	9	continuous	continuous	ADJ
sc-1112	125	10	data	datum	NOUN
sc-1112	125	11	from	from	ADP
sc-1112	125	12	the	the	DET
sc-1112	125	13	available	available	ADJ
sc-1112	125	14	sparse	sparse	ADJ
sc-1112	125	15	dataset	dataset	NOUN
sc-1112	125	16	.	.	PUNCT
sc-1112	126	1	in	in	ADP
sc-1112	126	2	order	order	NOUN
sc-1112	126	3	to	to	PART
sc-1112	126	4	predict	predict	VERB
sc-1112	126	5	the	the	DET
sc-1112	126	6	interpolated	interpolate	VERB
sc-1112	126	7	surface	surface	NOUN
sc-1112	126	8	with	with	ADP
sc-1112	126	9	continuous	continuous	ADJ
sc-1112	126	10	pollution	pollution	NOUN
sc-1112	126	11	levels	level	NOUN
sc-1112	126	12	from	from	ADP
sc-1112	126	13	variable	variable	ADJ
sc-1112	126	14	data	datum	NOUN
sc-1112	126	15	of	of	ADP
sc-1112	126	16	different	different	ADJ
sc-1112	126	17	geolocations	geolocation	NOUN
sc-1112	126	18	,	,	PUNCT
sc-1112	126	19	the	the	DET
sc-1112	126	20	proper	proper	ADJ
sc-1112	126	21	data	data	NOUN
sc-1112	126	22	analysis	analysis	NOUN
sc-1112	126	23	should	should	AUX
sc-1112	126	24	be	be	AUX
sc-1112	126	25	done	do	VERB
sc-1112	126	26	with	with	ADP
sc-1112	126	27	the	the	DET
sc-1112	126	28	efficient	efficient	ADJ
sc-1112	126	29	prediction	prediction	NOUN
sc-1112	126	30	model	model	NOUN
sc-1112	126	31	.	.	PUNCT
sc-1112	127	1	the	the	DET
sc-1112	127	2	mathematical	mathematical	ADJ
sc-1112	127	3	formulation	formulation	NOUN
sc-1112	127	4	of	of	ADP
sc-1112	127	5	spatial	spatial	ADJ
sc-1112	127	6	interpolation	interpolation	NOUN
sc-1112	127	7	can	can	AUX
sc-1112	127	8	be	be	AUX
sc-1112	127	9	expressed	express	VERB
sc-1112	127	10	as	as	SCONJ
sc-1112	127	11	follows	follow	VERB
sc-1112	127	12	:	:	PUNCT
sc-1112	127	13	estimate	estimate	VERB
sc-1112	127	14	the	the	DET
sc-1112	127	15	value	value	NOUN
sc-1112	127	16	of	of	ADP
sc-1112	127	17	regionalized	regionalized	ADJ
sc-1112	127	18	variable	variable	ADJ
sc-1112	127	19	zi	zi	PROPN
sc-1112	127	20	,	,	PUNCT
sc-1112	127	21	{	{	PUNCT
sc-1112	127	22	zi	zi	PROPN
sc-1112	127	23	∈	∈	PROPN
sc-1112	127	24	rn|i	rn|i	NOUN
sc-1112	128	1	=	=	NOUN
sc-1112	128	2	1	1	NUM
sc-1112	128	3	,	,	PUNCT
sc-1112	128	4	2	2	NUM
sc-1112	128	5	,	,	PUNCT
sc-1112	128	6	3	3	NUM
sc-1112	128	7	.....	.....	SYM
sc-1112	128	8	n	n	NUM
sc-1112	128	9	}	}	PUNCT
sc-1112	128	10	,	,	PUNCT
sc-1112	128	11	at	at	ADP
sc-1112	128	12	discrete	discrete	ADJ
sc-1112	128	13	points	point	NOUN
sc-1112	128	14	mi	mi	PROPN
sc-1112	129	1	=	=	PRON
sc-1112	129	2	{	{	PUNCT
sc-1112	129	3	(	(	PUNCT
sc-1112	129	4	x1	x1	INTJ
sc-1112	129	5	i	i	INTJ
sc-1112	129	6	,	,	PUNCT
sc-1112	129	7	y	y	PROPN
sc-1112	129	8	1	1	NUM
sc-1112	129	9	i	i	NOUN
sc-1112	129	10	)	)	PUNCT
sc-1112	129	11	,	,	PUNCT
sc-1112	129	12	(	(	PUNCT
sc-1112	129	13	x2	x2	INTJ
sc-1112	130	1	i	i	INTJ
sc-1112	130	2	,	,	PUNCT
sc-1112	130	3	y	y	PROPN
sc-1112	130	4	2	2	NUM
sc-1112	130	5	i	i	NOUN
sc-1112	130	6	)	)	PUNCT
sc-1112	130	7	,	,	PUNCT
sc-1112	130	8	..	..	PUNCT
sc-1112	130	9	(	(	PUNCT
sc-1112	130	10	xdi	xdi	NOUN
sc-1112	130	11	,	,	PUNCT
sc-1112	130	12	y	y	PROPN
sc-1112	130	13	d	d	NOUN
sc-1112	130	14	i	i	PROPN
sc-1112	130	15	)	)	PUNCT
sc-1112	130	16	}	}	PUNCT
sc-1112	130	17	,	,	PUNCT
sc-1112	130	18	{	{	PUNCT
sc-1112	130	19	mi	mi	PROPN
sc-1112	130	20	∈	∈	PROPN
sc-1112	130	21	r|i	r|i	X
sc-1112	130	22	=	=	SYM
sc-1112	130	23	1	1	NUM
sc-1112	130	24	,	,	PUNCT
sc-1112	130	25	2	2	NUM
sc-1112	130	26	,	,	PUNCT
sc-1112	130	27	3	3	NUM
sc-1112	130	28	...	...	SYM
sc-1112	130	29	n	n	CCONJ
sc-1112	130	30	}	}	PUNCT
sc-1112	130	31	by	by	ADP
sc-1112	130	32	considering	consider	VERB
sc-1112	130	33	n	n	CCONJ
sc-1112	130	34	number	number	NOUN
sc-1112	130	35	of	of	ADP
sc-1112	130	36	different	different	ADJ
sc-1112	130	37	existing	exist	VERB
sc-1112	130	38	neighborhood	neighborhood	NOUN
sc-1112	130	39	point	point	NOUN
sc-1112	130	40	values	value	NOUN
sc-1112	130	41	inside	inside	ADP
sc-1112	130	42	searching	search	VERB
sc-1112	130	43	neighborhood	neighborhood	NOUN
sc-1112	130	44	area	area	NOUN
sc-1112	130	45	(	(	PUNCT
sc-1112	130	46	r	r	NOUN
sc-1112	130	47	)	)	PUNCT
sc-1112	130	48	with	with	ADP
sc-1112	130	49	d	d	ADJ
sc-1112	130	50	-	-	ADJ
sc-1112	130	51	dimensional	dimensional	ADJ
sc-1112	130	52	space	space	NOUN
sc-1112	130	53	.	.	PUNCT
sc-1112	131	1	weight	weight	NOUN
sc-1112	131	2	(	(	PUNCT
sc-1112	131	3	w	w	NOUN
sc-1112	131	4	)	)	PUNCT
sc-1112	131	5	assignment	assignment	NOUN
sc-1112	131	6	will	will	AUX
sc-1112	131	7	be	be	AUX
sc-1112	131	8	done	do	VERB
sc-1112	131	9	based	base	VERB
sc-1112	131	10	on	on	ADP
sc-1112	131	11	their	their	PRON
sc-1112	131	12	distance	distance	NOUN
sc-1112	131	13	from	from	ADP
sc-1112	131	14	neighborhood	neighborhood	NOUN
sc-1112	131	15	points	point	NOUN
sc-1112	131	16	or	or	CCONJ
sc-1112	131	17	autocorrelation	autocorrelation	NOUN
sc-1112	131	18	among	among	ADP
sc-1112	131	19	those	those	DET
sc-1112	131	20	points	point	NOUN
sc-1112	131	21	which	which	PRON
sc-1112	131	22	signifies	signify	VERB
sc-1112	131	23	the	the	DET
sc-1112	131	24	influence	influence	NOUN
sc-1112	131	25	of	of	ADP
sc-1112	131	26	neighborhood	neighborhood	NOUN
sc-1112	131	27	points	point	NOUN
sc-1112	131	28	in	in	ADP
sc-1112	131	29	estimation	estimation	NOUN
sc-1112	131	30	of	of	ADP
sc-1112	131	31	a	a	DET
sc-1112	131	32	particular	particular	ADJ
sc-1112	131	33	point	point	NOUN
sc-1112	131	34	value	value	NOUN
sc-1112	131	35	.	.	PUNCT
sc-1112	132	1	weight	weight	NOUN
sc-1112	132	2	assignment	assignment	NOUN
sc-1112	132	3	is	be	AUX
sc-1112	132	4	treated	treat	VERB
sc-1112	132	5	as	as	ADP
sc-1112	132	6	function	function	NOUN
sc-1112	132	7	(	(	PUNCT
sc-1112	132	8	f	f	PROPN
sc-1112	132	9	)	)	PUNCT
sc-1112	132	10	such	such	ADJ
sc-1112	132	11	that	that	SCONJ
sc-1112	132	12	,	,	PUNCT
sc-1112	132	13	f	f	X
sc-1112	132	14	:	:	PUNCT
sc-1112	132	15	rn	rn	PROPN
sc-1112	132	16	→	→	SYM
sc-1112	132	17	r	r	NOUN
sc-1112	132	18	f	f	X
sc-1112	132	19	(	(	PUNCT
sc-1112	132	20	mi	mi	PROPN
sc-1112	132	21	)	)	PUNCT
sc-1112	132	22	=	=	SYM
sc-1112	132	23	zi	zi	NOUN
sc-1112	132	24	4	4	X
sc-1112	132	25	.	.	PUNCT
sc-1112	132	26	study	study	NOUN
sc-1112	132	27	area	area	PROPN
sc-1112	132	28	odisha	odisha	PROPN
sc-1112	132	29	,	,	PUNCT
sc-1112	132	30	one	one	NUM
sc-1112	132	31	of	of	ADP
sc-1112	132	32	the	the	DET
sc-1112	132	33	polluted	polluted	ADJ
sc-1112	132	34	state	state	NOUN
sc-1112	132	35	of	of	ADP
sc-1112	132	36	india	india	PROPN
sc-1112	132	37	(	(	PUNCT
sc-1112	132	38	tripathy	tripathy	ADJ
sc-1112	132	39	and	and	CCONJ
sc-1112	132	40	dash	dash	NOUN
sc-1112	132	41	2018	2018	NUM
sc-1112	132	42	;	;	PUNCT
sc-1112	132	43	nayak	nayak	PROPN
sc-1112	132	44	and	and	CCONJ
sc-1112	132	45	i.	i.	PROPN
sc-1112	132	46	r.	r.	PROPN
sc-1112	132	47	chowdhury	chowdhury	PROPN
sc-1112	132	48	2018	2018	NUM
sc-1112	132	49	)	)	PUNCT
sc-1112	132	50	,	,	PUNCT
sc-1112	132	51	is	be	AUX
sc-1112	132	52	selected	select	VERB
sc-1112	132	53	as	as	ADP
sc-1112	132	54	the	the	DET
sc-1112	132	55	study	study	NOUN
sc-1112	132	56	area	area	NOUN
sc-1112	132	57	for	for	ADP
sc-1112	132	58	the	the	DET
sc-1112	132	59	research	research	NOUN
sc-1112	132	60	activity	activity	NOUN
sc-1112	132	61	.	.	PUNCT
sc-1112	133	1	it	it	PRON
sc-1112	133	2	is	be	AUX
sc-1112	133	3	reported	report	VERB
sc-1112	133	4	that	that	SCONJ
sc-1112	133	5	most	most	ADJ
sc-1112	133	6	of	of	ADP
sc-1112	133	7	the	the	DET
sc-1112	133	8	industrial	industrial	ADJ
sc-1112	133	9	estate	estate	NOUN
sc-1112	133	10	and	and	CCONJ
sc-1112	133	11	smart	smart	ADJ
sc-1112	133	12	cities	city	NOUN
sc-1112	133	13	of	of	ADP
sc-1112	133	14	this	this	DET
sc-1112	133	15	state	state	NOUN
sc-1112	133	16	do	do	AUX
sc-1112	133	17	not	not	PART
sc-1112	133	18	fulfill	fulfill	VERB
sc-1112	133	19	the	the	DET
sc-1112	133	20	air	air	NOUN
sc-1112	133	21	quality	quality	PROPN
sc-1112	133	22	standard	standard	NOUN
sc-1112	133	23	decided	decide	VERB
sc-1112	133	24	by	by	ADP
sc-1112	133	25	the	the	DET
sc-1112	133	26	central	central	ADJ
sc-1112	133	27	pollution	pollution	PROPN
sc-1112	133	28	control	control	PROPN
sc-1112	133	29	board	board	PROPN
sc-1112	133	30	.	.	PUNCT
sc-1112	134	1	the	the	DET
sc-1112	134	2	state	state	NOUN
sc-1112	134	3	is	be	AUX
sc-1112	134	4	having	have	VERB
sc-1112	134	5	very	very	ADV
sc-1112	134	6	few	few	ADJ
sc-1112	134	7	numbers	number	NOUN
sc-1112	134	8	of	of	ADP
sc-1112	134	9	continuous	continuous	ADJ
sc-1112	134	10	air	air	NOUN
sc-1112	134	11	pollution	pollution	NOUN
sc-1112	134	12	monitoring	monitoring	NOUN
sc-1112	134	13	stations	station	NOUN
sc-1112	134	14	controlled	control	VERB
sc-1112	134	15	by	by	ADP
sc-1112	134	16	cpcb	cpcb	NOUN
sc-1112	134	17	.	.	PUNCT
sc-1112	135	1	most	most	ADJ
sc-1112	135	2	of	of	ADP
sc-1112	135	3	the	the	DET
sc-1112	135	4	sites	site	NOUN
sc-1112	135	5	are	be	AUX
sc-1112	135	6	manual	manual	ADJ
sc-1112	135	7	air	air	NOUN
sc-1112	135	8	quality	quality	NOUN
sc-1112	135	9	monitoring	monitoring	NOUN
sc-1112	135	10	stations	station	NOUN
sc-1112	135	11	that	that	PRON
sc-1112	135	12	collect	collect	VERB
sc-1112	135	13	air	air	NOUN
sc-1112	135	14	quality	quality	NOUN
sc-1112	135	15	data	datum	NOUN
sc-1112	135	16	on	on	ADP
sc-1112	135	17	the	the	DET
sc-1112	135	18	daily	daily	ADJ
sc-1112	135	19	granularity	granularity	NOUN
sc-1112	135	20	level	level	NOUN
sc-1112	135	21	.	.	PUNCT
sc-1112	136	1	the	the	DET
sc-1112	136	2	past	past	ADJ
sc-1112	136	3	observation	observation	NOUN
sc-1112	136	4	data	datum	NOUN
sc-1112	136	5	includes	include	VERB
sc-1112	136	6	air	air	NOUN
sc-1112	136	7	quality	quality	NOUN
sc-1112	136	8	dataset	dataset	NOUN
sc-1112	136	9	from	from	ADP
sc-1112	136	10	2005	2005	NUM
sc-1112	136	11	to	to	ADP
sc-1112	136	12	2015	2015	NUM
sc-1112	136	13	.	.	PUNCT
sc-1112	137	1	the	the	DET
sc-1112	137	2	data	datum	NOUN
sc-1112	137	3	set	set	VERB
sc-1112	137	4	contains	contain	VERB
sc-1112	137	5	pm10	pm10	PROPN
sc-1112	137	6	,	,	PUNCT
sc-1112	137	7	pm2.5	pm2.5	PROPN
sc-1112	137	8	,	,	PUNCT
sc-1112	137	9	so2	so2	PROPN
sc-1112	137	10	,	,	PUNCT
sc-1112	137	11	no2	no2	PROPN
sc-1112	137	12	air	air	PROPN
sc-1112	137	13	pollutant	pollutant	ADJ
sc-1112	137	14	details	detail	NOUN
sc-1112	137	15	with	with	ADP
sc-1112	137	16	sampling	sample	VERB
sc-1112	137	17	date	date	NOUN
sc-1112	137	18	,	,	PUNCT
sc-1112	137	19	and	and	CCONJ
sc-1112	137	20	sampling	sample	VERB
sc-1112	137	21	location	location	NOUN
sc-1112	137	22	geographical	geographical	ADJ
sc-1112	137	23	attributes	attribute	NOUN
sc-1112	137	24	.	.	PUNCT
sc-1112	138	1	it	it	PRON
sc-1112	138	2	has	have	AUX
sc-1112	138	3	seen	see	VERB
sc-1112	138	4	from	from	ADP
sc-1112	138	5	the	the	DET
sc-1112	138	6	analysis	analysis	NOUN
sc-1112	138	7	that	that	PRON
sc-1112	138	8	pm10	pm10	PROPN
sc-1112	138	9	pollutants	pollutant	NOUN
sc-1112	138	10	have	have	VERB
sc-1112	138	11	maximum	maximum	ADJ
sc-1112	138	12	air	air	NOUN
sc-1112	138	13	pollution	pollution	NOUN
sc-1112	138	14	contribution	contribution	NOUN
sc-1112	138	15	among	among	ADP
sc-1112	138	16	all	all	DET
sc-1112	138	17	the	the	DET
sc-1112	138	18	contaminants	contaminant	NOUN
sc-1112	138	19	in	in	ADP
sc-1112	138	20	odisha	odisha	PROPN
sc-1112	138	21	.	.	PUNCT
sc-1112	139	1	so	so	ADV
sc-1112	139	2	pm10	pm10	PROPN
sc-1112	139	3	pollutant	pollutant	ADJ
sc-1112	139	4	value	value	NOUN
sc-1112	139	5	is	be	AUX
sc-1112	139	6	considered	consider	VERB
sc-1112	139	7	for	for	ADP
sc-1112	139	8	experimental	experimental	ADJ
sc-1112	139	9	purposes	purpose	NOUN
sc-1112	139	10	in	in	ADP
sc-1112	139	11	the	the	DET
sc-1112	139	12	study	study	NOUN
sc-1112	139	13	area	area	NOUN
sc-1112	139	14	.	.	PUNCT
sc-1112	140	1	the	the	DET
sc-1112	140	2	figures	figure	NOUN
sc-1112	140	3	are	be	AUX
sc-1112	140	4	in	in	ADP
sc-1112	140	5	one	one	NUM
sc-1112	140	6	-	-	PUNCT
sc-1112	140	7	millionth	millionth	NOUN
sc-1112	140	8	of	of	ADP
sc-1112	140	9	a	a	DET
sc-1112	140	10	gram	gram	NOUN
sc-1112	140	11	unit	unit	NOUN
sc-1112	140	12	.	.	PUNCT
sc-1112	141	1	the	the	DET
sc-1112	141	2	dataset	dataset	NOUN
sc-1112	141	3	includes	include	VERB
sc-1112	141	4	31	31	NUM
sc-1112	141	5	monitoring	monitoring	NOUN
sc-1112	141	6	sites	site	NOUN
sc-1112	141	7	,	,	PUNCT
sc-1112	141	8	but	but	CCONJ
sc-1112	141	9	due	due	ADP
sc-1112	141	10	to	to	ADP
sc-1112	141	11	a	a	DET
sc-1112	141	12	large	large	ADJ
sc-1112	141	13	number	number	NOUN
sc-1112	141	14	of	of	ADP
sc-1112	141	15	missing	miss	VERB
sc-1112	141	16	values	value	NOUN
sc-1112	141	17	,	,	PUNCT
sc-1112	141	18	the	the	DET
sc-1112	141	19	research	research	NOUN
sc-1112	141	20	work	work	NOUN
sc-1112	141	21	considered	consider	VERB
sc-1112	141	22	only	only	ADV
sc-1112	141	23	16	16	NUM
sc-1112	141	24	monitoring	monitoring	NOUN
sc-1112	141	25	sites	site	NOUN
sc-1112	141	26	for	for	ADP
sc-1112	141	27	evaluation	evaluation	NOUN
sc-1112	141	28	purposes	purpose	NOUN
sc-1112	141	29	.	.	PUNCT
sc-1112	142	1	5	5	X
sc-1112	142	2	.	.	X
sc-1112	142	3	experimental	experimental	ADJ
sc-1112	142	4	method	method	NOUN
sc-1112	142	5	to	to	PART
sc-1112	142	6	validate	validate	VERB
sc-1112	142	7	the	the	DET
sc-1112	142	8	usefulness	usefulness	NOUN
sc-1112	142	9	of	of	ADP
sc-1112	142	10	the	the	DET
sc-1112	142	11	proposed	propose	VERB
sc-1112	142	12	methodology	methodology	NOUN
sc-1112	142	13	framework	framework	NOUN
sc-1112	142	14	,	,	PUNCT
sc-1112	142	15	ten	ten	NUM
sc-1112	142	16	years	year	NOUN
sc-1112	142	17	(	(	PUNCT
sc-1112	142	18	01.01.2005	01.01.2005	PROPN
sc-1112	142	19	-	-	PUNCT
sc-1112	142	20	28.12.2015	28.12.2015	PROPN
sc-1112	142	21	)	)	PUNCT
sc-1112	142	22	dataset	dataset	NOUN
sc-1112	142	23	are	be	AUX
sc-1112	142	24	collected	collect	VERB
sc-1112	142	25	from	from	ADP
sc-1112	142	26	odisha	odisha	PROPN
sc-1112	142	27	state	state	NOUN
sc-1112	142	28	pollution	pollution	PROPN
sc-1112	142	29	control	control	PROPN
sc-1112	142	30	board	board	PROPN
sc-1112	142	31	(	(	PUNCT
sc-1112	142	32	odisha	odisha	PROPN
sc-1112	142	33	2017	2017	NUM
sc-1112	142	34	,	,	PUNCT
sc-1112	142	35	oct	oct	PROPN
sc-1112	142	36	16	16	NUM
sc-1112	142	37	;	;	PUNCT
sc-1112	142	38	samal	samal	PROPN
sc-1112	142	39	,	,	PUNCT
sc-1112	142	40	babu	babu	PROPN
sc-1112	142	41	,	,	PUNCT
sc-1112	142	42	and	and	CCONJ
sc-1112	142	43	santos	santos	PROPN
sc-1112	142	44	kumar	kumar	PROPN
sc-1112	142	45	das	das	PROPN
sc-1112	142	46	2020	2020	NUM
sc-1112	142	47	;	;	PUNCT
sc-1112	142	48	samal	samal	PROPN
sc-1112	142	49	,	,	PUNCT
sc-1112	142	50	babu	babu	PROPN
sc-1112	142	51	,	,	PUNCT
sc-1112	142	52	santosh	santosh	PROPN
sc-1112	142	53	kumar	kumar	PROPN
sc-1112	142	54	das	das	PROPN
sc-1112	142	55	,	,	PUNCT
sc-1112	142	56	et	et	PROPN
sc-1112	142	57	al	al	PROPN
sc-1112	142	58	.	.	PROPN
sc-1112	142	59	2019	2019	NUM
sc-1112	142	60	)	)	PUNCT
sc-1112	142	61	.	.	PUNCT
sc-1112	143	1	after	after	SCONJ
sc-1112	143	2	data	data	NOUN
sc-1112	143	3	collection	collection	NOUN
sc-1112	143	4	,	,	PUNCT
sc-1112	143	5	data	datum	NOUN
sc-1112	143	6	normalization	normalization	NOUN
sc-1112	143	7	and	and	CCONJ
sc-1112	143	8	linear	linear	ADJ
sc-1112	143	9	interpolation	interpolation	NOUN
sc-1112	143	10	techniques	technique	NOUN
sc-1112	143	11	are	be	AUX
sc-1112	143	12	applied	apply	VERB
sc-1112	143	13	in	in	ADP
sc-1112	143	14	the	the	DET
sc-1112	143	15	prepossessing	prepossess	VERB
sc-1112	143	16	step	step	NOUN
sc-1112	143	17	to	to	PART
sc-1112	143	18	get	get	VERB
sc-1112	143	19	useful	useful	ADJ
sc-1112	143	20	information	information	NOUN
sc-1112	143	21	for	for	ADP
sc-1112	143	22	training	train	VERB
sc-1112	143	23	the	the	DET
sc-1112	143	24	model	model	NOUN
sc-1112	143	25	.	.	PUNCT
sc-1112	144	1	90	90	NUM
sc-1112	144	2	%	%	NOUN
sc-1112	144	3	of	of	ADP
sc-1112	144	4	data	datum	NOUN
sc-1112	144	5	are	be	AUX
sc-1112	144	6	used	use	VERB
sc-1112	144	7	for	for	ADP
sc-1112	144	8	training	training	NOUN
sc-1112	144	9	purposes	purpose	NOUN
sc-1112	144	10	,	,	PUNCT
sc-1112	144	11	whereas	whereas	SCONJ
sc-1112	144	12	other	other	ADJ
sc-1112	144	13	remaining	remain	VERB
sc-1112	144	14	10	10	NUM
sc-1112	144	15	%	%	NOUN
sc-1112	144	16	are	be	AUX
sc-1112	144	17	utilized	utilize	VERB
sc-1112	144	18	for	for	ADP
sc-1112	144	19	testing	testing	NOUN
sc-1112	144	20	purposes	purpose	NOUN
sc-1112	144	21	.	.	PUNCT
sc-1112	145	1	adam	adam	PROPN
sc-1112	145	2	and	and	CCONJ
sc-1112	145	3	mean	mean	VERB
sc-1112	145	4	squared	square	VERB
sc-1112	145	5	error	error	NOUN
sc-1112	145	6	are	be	AUX
sc-1112	145	7	implemented	implement	VERB
sc-1112	145	8	as	as	ADP
sc-1112	145	9	optimizer	optimizer	NOUN
sc-1112	145	10	and	and	CCONJ
sc-1112	145	11	loss	loss	NOUN
sc-1112	145	12	function	function	NOUN
sc-1112	145	13	respectively	respectively	ADV
sc-1112	145	14	to	to	PART
sc-1112	145	15	train	train	VERB
sc-1112	145	16	the	the	DET
sc-1112	145	17	proposed	propose	VERB
sc-1112	145	18	model	model	NOUN
sc-1112	145	19	.	.	PUNCT
sc-1112	146	1	each	each	DET
sc-1112	146	2	step	step	NOUN
sc-1112	146	3	of	of	ADP
sc-1112	146	4	the	the	DET
sc-1112	146	5	proposed	propose	VERB
sc-1112	146	6	framework	framework	NOUN
sc-1112	146	7	is	be	AUX
sc-1112	146	8	presented	present	VERB
sc-1112	146	9	in	in	ADP
sc-1112	146	10	figure	figure	NOUN
sc-1112	146	11	1	1	NUM
sc-1112	146	12	.	.	PUNCT
sc-1112	147	1	each	each	DET
sc-1112	147	2	layer	layer	NOUN
sc-1112	147	3	of	of	ADP
sc-1112	147	4	the	the	DET
sc-1112	147	5	proposed	propose	VERB
sc-1112	147	6	methodology	methodology	NOUN
sc-1112	147	7	framework	framework	NOUN
sc-1112	147	8	is	be	AUX
sc-1112	147	9	discussed	discuss	VERB
sc-1112	147	10	in	in	ADP
sc-1112	147	11	the	the	DET
sc-1112	147	12	below	below	ADJ
sc-1112	147	13	subsections	subsection	NOUN
sc-1112	147	14	.	.	PUNCT
sc-1112	148	1	5.1	5.1	NUM
sc-1112	148	2	.	.	PUNCT
sc-1112	149	1	1d	1d	NUM
sc-1112	149	2	convnet	convnet	NOUN
sc-1112	149	3	for	for	ADP
sc-1112	149	4	feature	feature	NOUN
sc-1112	149	5	learning	learn	VERB
sc-1112	149	6	the	the	DET
sc-1112	149	7	1d	1d	NUM
sc-1112	149	8	convnet	convnet	NOUN
sc-1112	149	9	(	(	PUNCT
sc-1112	149	10	o’shea	o’shea	PROPN
sc-1112	149	11	and	and	CCONJ
sc-1112	149	12	nash	nash	PROPN
sc-1112	149	13	2015	2015	NUM
sc-1112	149	14	)	)	PUNCT
sc-1112	149	15	is	be	AUX
sc-1112	149	16	usually	usually	ADV
sc-1112	149	17	used	use	VERB
sc-1112	149	18	for	for	ADP
sc-1112	149	19	feature	feature	NOUN
sc-1112	149	20	learning	learning	NOUN
sc-1112	149	21	.	.	PUNCT
sc-1112	150	1	it	it	PRON
sc-1112	150	2	allows	allow	VERB
sc-1112	150	3	us	we	PRON
sc-1112	150	4	to	to	PART
sc-1112	150	5	extract	extract	VERB
sc-1112	150	6	features	feature	NOUN
sc-1112	150	7	from	from	ADP
sc-1112	150	8	inputs	input	NOUN
sc-1112	150	9	and	and	CCONJ
sc-1112	150	10	improve	improve	VERB
sc-1112	150	11	data	data	NOUN
sc-1112	150	12	efficiency	efficiency	NOUN
sc-1112	150	13	by	by	ADP
sc-1112	150	14	reducing	reduce	VERB
sc-1112	150	15	data	datum	NOUN
sc-1112	150	16	dimensionality	dimensionality	NOUN
sc-1112	150	17	.	.	PUNCT
sc-1112	151	1	the	the	DET
sc-1112	151	2	weight	weight	NOUN
sc-1112	151	3	sharing	sharing	NOUN
sc-1112	151	4	feature	feature	NOUN
sc-1112	151	5	of	of	ADP
sc-1112	151	6	1d	1d	NUM
sc-1112	151	7	convnet	convnet	NOUN
sc-1112	151	8	minimizes	minimize	VERB
sc-1112	151	9	the	the	DET
sc-1112	151	10	number	number	NOUN
sc-1112	151	11	of	of	ADP
sc-1112	151	12	parameters	parameter	NOUN
sc-1112	151	13	of	of	ADP
sc-1112	151	14	the	the	DET
sc-1112	151	15	multivariate	multivariate	NOUN
sc-1112	151	16	time	time	NOUN
sc-1112	151	17	series	series	PROPN
sc-1112	151	18	dataset	dataset	VERB
sc-1112	151	19	by	by	ADP
sc-1112	151	20	increasing	increase	VERB
sc-1112	151	21	the	the	DET
sc-1112	151	22	4	4	NUM
sc-1112	151	23	eai	eai	NOUN
sc-1112	151	24	endorsed	endorse	VERB
sc-1112	151	25	transactions	transaction	NOUN
sc-1112	151	26	on	on	ADP
sc-1112	151	27	smart	smart	ADJ
sc-1112	151	28	cities	city	NOUN
sc-1112	151	29	01	01	NUM
sc-1112	151	30	2021	2021	NUM
sc-1112	151	31	04	04	NUM
sc-1112	151	32	2021	2021	NUM
sc-1112	151	33	|	|	ADV
sc-1112	151	34	volume	volume	NOUN
sc-1112	151	35	5	5	NUM
sc-1112	151	36	|	|	ADV
sc-1112	151	37	issue	issue	VERB
sc-1112	151	38	14	14	NUM
sc-1112	151	39	|	|	ADV
sc-1112	151	40	e4	e4	PROPN
sc-1112	151	41	spatio	spatio	NOUN
sc-1112	151	42	-	-	PUNCT
sc-1112	151	43	temporal	temporal	ADJ
sc-1112	151	44	prediction	prediction	NOUN
sc-1112	151	45	of	of	ADP
sc-1112	151	46	air	air	NOUN
sc-1112	151	47	quality	quality	NOUN
sc-1112	151	48	using	use	VERB
sc-1112	151	49	distance	distance	NOUN
sc-1112	151	50	based	base	VERB
sc-1112	151	51	interpolation	interpolation	NOUN
sc-1112	151	52	and	and	CCONJ
sc-1112	151	53	deep	deep	ADJ
sc-1112	151	54	learning	learning	NOUN
sc-1112	151	55	techniques	technique	NOUN
sc-1112	151	56	figure	figure	NOUN
sc-1112	151	57	1	1	NUM
sc-1112	151	58	.	.	PUNCT
sc-1112	152	1	the	the	DET
sc-1112	152	2	proposed	propose	VERB
sc-1112	152	3	cnn	cnn	PROPN
sc-1112	152	4	-	-	PUNCT
sc-1112	152	5	bilstm	bilstm	NOUN
sc-1112	152	6	-	-	PUNCT
sc-1112	152	7	idw	idw	NOUN
sc-1112	152	8	architecture	architecture	NOUN
sc-1112	152	9	.	.	PUNCT
sc-1112	153	1	learning	learn	VERB
sc-1112	153	2	of	of	ADP
sc-1112	153	3	the	the	DET
sc-1112	153	4	model	model	NOUN
sc-1112	153	5	.	.	PUNCT
sc-1112	154	1	a	a	DET
sc-1112	154	2	learned	learn	VERB
sc-1112	154	3	pattern	pattern	NOUN
sc-1112	154	4	at	at	ADP
sc-1112	154	5	a	a	DET
sc-1112	154	6	particular	particular	ADJ
sc-1112	154	7	point	point	NOUN
sc-1112	154	8	of	of	ADP
sc-1112	154	9	a	a	DET
sc-1112	154	10	sequence	sequence	NOUN
sc-1112	154	11	can	can	AUX
sc-1112	154	12	be	be	AUX
sc-1112	154	13	captured	capture	VERB
sc-1112	154	14	at	at	ADP
sc-1112	154	15	other	other	ADJ
sc-1112	154	16	locations	location	NOUN
sc-1112	154	17	due	due	ADP
sc-1112	154	18	to	to	ADP
sc-1112	154	19	the	the	DET
sc-1112	154	20	same	same	ADJ
sc-1112	154	21	input	input	NOUN
sc-1112	154	22	transformation	transformation	NOUN
sc-1112	154	23	at	at	ADP
sc-1112	154	24	each	each	DET
sc-1112	154	25	point	point	NOUN
sc-1112	154	26	.	.	PUNCT
sc-1112	155	1	so	so	ADV
sc-1112	155	2	,	,	PUNCT
sc-1112	155	3	the	the	DET
sc-1112	155	4	change	change	NOUN
sc-1112	155	5	in	in	ADP
sc-1112	155	6	the	the	DET
sc-1112	155	7	local	local	ADJ
sc-1112	155	8	trend	trend	NOUN
sc-1112	155	9	of	of	ADP
sc-1112	155	10	multivariate	multivariate	NOUN
sc-1112	155	11	features	feature	NOUN
sc-1112	155	12	can	can	AUX
sc-1112	155	13	be	be	AUX
sc-1112	155	14	determined	determine	VERB
sc-1112	155	15	.	.	PUNCT
sc-1112	156	1	after	after	ADP
sc-1112	156	2	completion	completion	NOUN
sc-1112	156	3	of	of	ADP
sc-1112	156	4	1d	1d	NUM
sc-1112	156	5	convnet	convnet	NOUN
sc-1112	156	6	,	,	PUNCT
sc-1112	156	7	the	the	DET
sc-1112	156	8	max	max	PROPN
sc-1112	156	9	-	-	PUNCT
sc-1112	156	10	pooling	pool	VERB
sc-1112	156	11	operation	operation	NOUN
sc-1112	156	12	is	be	AUX
sc-1112	156	13	conducted	conduct	VERB
sc-1112	156	14	to	to	PART
sc-1112	156	15	extract	extract	VERB
sc-1112	156	16	the	the	DET
sc-1112	156	17	maximum	maximum	ADJ
sc-1112	156	18	value	value	NOUN
sc-1112	156	19	of	of	ADP
sc-1112	156	20	sub	sub	NOUN
sc-1112	156	21	sequences	sequence	NOUN
sc-1112	156	22	of	of	ADP
sc-1112	156	23	the	the	DET
sc-1112	156	24	dataset	dataset	NOUN
sc-1112	156	25	further	far	ADV
sc-1112	156	26	to	to	PART
sc-1112	156	27	reduce	reduce	VERB
sc-1112	156	28	the	the	DET
sc-1112	156	29	dimensionality	dimensionality	NOUN
sc-1112	156	30	of	of	ADP
sc-1112	156	31	the	the	DET
sc-1112	156	32	input	input	NOUN
sc-1112	156	33	data	datum	NOUN
sc-1112	156	34	source	source	NOUN
sc-1112	156	35	.	.	PUNCT
sc-1112	157	1	the	the	DET
sc-1112	157	2	cnn	cnn	PROPN
sc-1112	157	3	layer	layer	NOUN
sc-1112	157	4	performs	perform	VERB
sc-1112	157	5	three	three	NUM
sc-1112	157	6	operations	operation	NOUN
sc-1112	157	7	i.e.	i.e.	X
sc-1112	157	8	,	,	PUNCT
sc-1112	157	9	convolution	convolution	NOUN
sc-1112	157	10	,	,	PUNCT
sc-1112	157	11	activation	activation	NOUN
sc-1112	157	12	,	,	PUNCT
sc-1112	157	13	and	and	CCONJ
sc-1112	157	14	pooling	pool	VERB
sc-1112	157	15	respectively	respectively	ADV
sc-1112	157	16	,	,	PUNCT
sc-1112	157	17	which	which	PRON
sc-1112	157	18	can	can	AUX
sc-1112	157	19	be	be	AUX
sc-1112	157	20	computed	compute	VERB
sc-1112	157	21	as	as	ADP
sc-1112	157	22	below	below	ADV
sc-1112	157	23	(	(	PUNCT
sc-1112	157	24	du	du	PROPN
sc-1112	157	25	et	et	PROPN
sc-1112	157	26	al	al	PROPN
sc-1112	157	27	.	.	PROPN
sc-1112	157	28	2019	2019	NUM
sc-1112	157	29	)	)	PUNCT
sc-1112	157	30	,	,	PUNCT
sc-1112	157	31	cln	cln	PROPN
sc-1112	157	32	=	=	PUNCT
sc-1112	157	33	∑	∑	PUNCT
sc-1112	157	34	m	m	PROPN
sc-1112	157	35	xl−1	xl−1	PROPN
sc-1112	157	36	m	m	VERB
sc-1112	157	37	∗w	∗w	PROPN
sc-1112	157	38	l	l	NOUN
sc-1112	157	39	mn	mn	PROPN
sc-1112	158	1	+	+	CCONJ
sc-1112	158	2	bln	bln	NUM
sc-1112	158	3	(	(	PUNCT
sc-1112	158	4	1	1	NUM
sc-1112	158	5	)	)	PUNCT
sc-1112	158	6	xln	xln	NOUN
sc-1112	158	7	=	=	PUNCT
sc-1112	158	8	relu	relu	PROPN
sc-1112	158	9	(	(	PUNCT
sc-1112	158	10	cln	cln	PROPN
sc-1112	158	11	)	)	PUNCT
sc-1112	158	12	(	(	PUNCT
sc-1112	158	13	2	2	X
sc-1112	158	14	)	)	PUNCT
sc-1112	158	15	xln	xln	NOUN
sc-1112	158	16	=	=	SYM
sc-1112	158	17	flatten(xln	flatten(xln	PROPN
sc-1112	158	18	)	)	PUNCT
sc-1112	158	19	(	(	PUNCT
sc-1112	158	20	3	3	NUM
sc-1112	158	21	)	)	PUNCT
sc-1112	158	22	xl+1	xl+1	PROPN
sc-1112	159	1	o	o	NOUN
sc-1112	159	2	=	=	PUNCT
sc-1112	159	3	fcl(w	fcl(w	PROPN
sc-1112	159	4	l+1	l+1	ADV
sc-1112	159	5	on	on	ADP
sc-1112	159	6	x	x	X
sc-1112	159	7	l	l	NOUN
sc-1112	159	8	n	n	NOUN
sc-1112	159	9	+	+	CCONJ
sc-1112	159	10	bl+1	bl+1	PROPN
sc-1112	159	11	o	o	NOUN
sc-1112	159	12	)	)	PUNCT
sc-1112	159	13	(	(	PUNCT
sc-1112	159	14	4	4	X
sc-1112	159	15	)	)	PUNCT
sc-1112	159	16	the	the	DET
sc-1112	159	17	convolution	convolution	NOUN
sc-1112	159	18	layer	layer	NOUN
sc-1112	159	19	can	can	AUX
sc-1112	159	20	be	be	AUX
sc-1112	159	21	modeled	model	VERB
sc-1112	159	22	using	use	VERB
sc-1112	159	23	equation	equation	NOUN
sc-1112	159	24	1	1	NUM
sc-1112	159	25	-	-	SYM
sc-1112	159	26	2	2	NUM
sc-1112	159	27	where	where	SCONJ
sc-1112	159	28	*	*	PUNCT
sc-1112	159	29	,	,	PUNCT
sc-1112	159	30	w	w	PROPN
sc-1112	159	31	l	l	PROPN
sc-1112	159	32	mn	mn	PROPN
sc-1112	159	33	,	,	PUNCT
sc-1112	159	34	bln	bln	PROPN
sc-1112	159	35	represent	represent	VERB
sc-1112	159	36	convolution	convolution	NOUN
sc-1112	159	37	operator	operator	NOUN
sc-1112	159	38	,	,	PUNCT
sc-1112	159	39	filter	filter	NOUN
sc-1112	159	40	and	and	CCONJ
sc-1112	159	41	biases	bias	NOUN
sc-1112	159	42	respectively	respectively	ADV
sc-1112	159	43	.	.	PUNCT
sc-1112	160	1	relu	relu	NOUN
sc-1112	160	2	function	function	NOUN
sc-1112	160	3	is	be	AUX
sc-1112	160	4	implemented	implement	VERB
sc-1112	160	5	as	as	ADP
sc-1112	160	6	an	an	DET
sc-1112	160	7	activation	activation	NOUN
sc-1112	160	8	function	function	NOUN
sc-1112	160	9	.	.	PUNCT
sc-1112	161	1	xl−1	xl−1	NOUN
sc-1112	161	2	m	m	VERB
sc-1112	161	3	and	and	CCONJ
sc-1112	161	4	cln	cln	PROPN
sc-1112	161	5	are	be	AUX
sc-1112	161	6	the	the	DET
sc-1112	161	7	input	input	NOUN
sc-1112	161	8	,	,	PUNCT
sc-1112	161	9	output	output	NOUN
sc-1112	161	10	vector	vector	NOUN
sc-1112	161	11	to	to	ADP
sc-1112	161	12	a	a	DET
sc-1112	161	13	convolution	convolution	NOUN
sc-1112	161	14	layer	layer	NOUN
sc-1112	161	15	.	.	PUNCT
sc-1112	162	1	the	the	DET
sc-1112	162	2	proposed	propose	VERB
sc-1112	162	3	architecture	architecture	NOUN
sc-1112	162	4	used	use	VERB
sc-1112	162	5	two	two	NUM
sc-1112	162	6	convolution	convolution	NOUN
sc-1112	162	7	layer	layer	NOUN
sc-1112	162	8	for	for	ADP
sc-1112	162	9	feature	feature	NOUN
sc-1112	162	10	learning	learning	NOUN
sc-1112	162	11	;	;	PUNCT
sc-1112	162	12	l	l	NOUN
sc-1112	162	13	is	be	AUX
sc-1112	162	14	used	use	VERB
sc-1112	162	15	as	as	ADP
sc-1112	162	16	the	the	DET
sc-1112	162	17	involved	involved	ADJ
sc-1112	162	18	layer	layer	NOUN
sc-1112	162	19	.	.	PUNCT
sc-1112	163	1	the	the	DET
sc-1112	163	2	output	output	NOUN
sc-1112	163	3	of	of	ADP
sc-1112	163	4	the	the	DET
sc-1112	163	5	preprocessing	preprocessing	NOUN
sc-1112	163	6	step	step	NOUN
sc-1112	163	7	is	be	AUX
sc-1112	163	8	utilized	utilize	VERB
sc-1112	163	9	as	as	ADP
sc-1112	163	10	input	input	NOUN
sc-1112	163	11	to	to	ADP
sc-1112	163	12	the	the	DET
sc-1112	163	13	cnn	cnn	PROPN
sc-1112	163	14	layer	layer	NOUN
sc-1112	163	15	,	,	PUNCT
sc-1112	163	16	where	where	SCONJ
sc-1112	163	17	the	the	DET
sc-1112	163	18	learned	learn	VERB
sc-1112	163	19	representation	representation	NOUN
sc-1112	163	20	of	of	ADP
sc-1112	163	21	each	each	DET
sc-1112	163	22	segment	segment	NOUN
sc-1112	163	23	is	be	AUX
sc-1112	163	24	used	use	VERB
sc-1112	163	25	as	as	ADP
sc-1112	163	26	input	input	NOUN
sc-1112	163	27	to	to	ADP
sc-1112	163	28	the	the	DET
sc-1112	163	29	next	next	ADJ
sc-1112	163	30	layer	layer	NOUN
sc-1112	163	31	to	to	PART
sc-1112	163	32	model	model	VERB
sc-1112	163	33	a	a	DET
sc-1112	163	34	hierarchical	hierarchical	ADJ
sc-1112	163	35	representation	representation	NOUN
sc-1112	163	36	of	of	ADP
sc-1112	163	37	features	feature	NOUN
sc-1112	163	38	.	.	PUNCT
sc-1112	164	1	after	after	ADP
sc-1112	164	2	convolution	convolution	NOUN
sc-1112	164	3	operation	operation	NOUN
sc-1112	164	4	,	,	PUNCT
sc-1112	164	5	a	a	DET
sc-1112	164	6	flatten	flatten	ADJ
sc-1112	164	7	layer	layer	NOUN
sc-1112	164	8	is	be	AUX
sc-1112	164	9	added	add	VERB
sc-1112	164	10	to	to	PART
sc-1112	164	11	transfer	transfer	VERB
sc-1112	164	12	the	the	DET
sc-1112	164	13	hierarchical	hierarchical	ADJ
sc-1112	164	14	features	feature	NOUN
sc-1112	164	15	representation	representation	NOUN
sc-1112	164	16	into	into	ADP
sc-1112	164	17	a	a	DET
sc-1112	164	18	feature	feature	NOUN
sc-1112	164	19	vector	vector	NOUN
sc-1112	164	20	.	.	PUNCT
sc-1112	165	1	then	then	ADV
sc-1112	165	2	a	a	DET
sc-1112	165	3	fully	fully	ADV
sc-1112	165	4	connected	connect	VERB
sc-1112	165	5	layer	layer	NOUN
sc-1112	165	6	is	be	AUX
sc-1112	165	7	added	add	VERB
sc-1112	165	8	to	to	PART
sc-1112	165	9	reduce	reduce	VERB
sc-1112	165	10	the	the	DET
sc-1112	165	11	dimensionality	dimensionality	NOUN
sc-1112	165	12	of	of	ADP
sc-1112	165	13	the	the	DET
sc-1112	165	14	final	final	ADJ
sc-1112	165	15	output	output	NOUN
sc-1112	165	16	feature	feature	NOUN
sc-1112	165	17	vector	vector	NOUN
sc-1112	165	18	.	.	PUNCT
sc-1112	166	1	5.2	5.2	NUM
sc-1112	166	2	.	.	PUNCT
sc-1112	167	1	long	long	ADJ
sc-1112	167	2	term	term	NOUN
sc-1112	167	3	temporal	temporal	ADJ
sc-1112	167	4	modeling	model	VERB
sc-1112	167	5	the	the	DET
sc-1112	167	6	temporal	temporal	ADJ
sc-1112	167	7	modeling	modeling	NOUN
sc-1112	167	8	layer	layer	NOUN
sc-1112	167	9	’s	’s	PART
sc-1112	167	10	goal	goal	NOUN
sc-1112	167	11	in	in	ADP
sc-1112	167	12	the	the	DET
sc-1112	167	13	proposed	propose	VERB
sc-1112	167	14	architecture	architecture	NOUN
sc-1112	167	15	is	be	AUX
sc-1112	167	16	to	to	PART
sc-1112	167	17	predict	predict	VERB
sc-1112	167	18	pm10	pm10	PROPN
sc-1112	167	19	concentration	concentration	NOUN
sc-1112	167	20	for	for	ADP
sc-1112	167	21	the	the	DET
sc-1112	167	22	next	next	ADJ
sc-1112	167	23	28	28	NUM
sc-1112	167	24	days	day	NOUN
sc-1112	167	25	in	in	ADP
sc-1112	167	26	december	december	PROPN
sc-1112	167	27	2015	2015	NUM
sc-1112	167	28	.	.	PUNCT
sc-1112	168	1	the	the	DET
sc-1112	168	2	dataset	dataset	NOUN
sc-1112	168	3	for	for	ADP
sc-1112	168	4	this	this	DET
sc-1112	168	5	particular	particular	ADJ
sc-1112	168	6	duration	duration	NOUN
sc-1112	168	7	is	be	AUX
sc-1112	168	8	used	use	VERB
sc-1112	168	9	as	as	ADP
sc-1112	168	10	a	a	DET
sc-1112	168	11	test	test	NOUN
sc-1112	168	12	set	set	VERB
sc-1112	168	13	and	and	CCONJ
sc-1112	168	14	validates	validate	VERB
sc-1112	168	15	the	the	DET
sc-1112	168	16	model	model	NOUN
sc-1112	168	17	by	by	ADP
sc-1112	168	18	comparing	compare	VERB
sc-1112	168	19	the	the	DET
sc-1112	168	20	prediction	prediction	NOUN
sc-1112	168	21	results	result	NOUN
sc-1112	168	22	of	of	ADP
sc-1112	168	23	28	28	NUM
sc-1112	168	24	days	day	NOUN
sc-1112	168	25	of	of	ADP
sc-1112	168	26	december	december	PROPN
sc-1112	168	27	with	with	ADP
sc-1112	168	28	the	the	DET
sc-1112	168	29	test	test	NOUN
sc-1112	168	30	dataset	dataset	NOUN
sc-1112	168	31	.	.	PUNCT
sc-1112	169	1	in	in	ADP
sc-1112	169	2	the	the	DET
sc-1112	169	3	temporal	temporal	ADJ
sc-1112	169	4	modeling	modeling	NOUN
sc-1112	169	5	layer	layer	NOUN
sc-1112	169	6	,	,	PUNCT
sc-1112	169	7	the	the	DET
sc-1112	169	8	input	input	NOUN
sc-1112	169	9	is	be	AUX
sc-1112	169	10	the	the	DET
sc-1112	169	11	feature	feature	NOUN
sc-1112	169	12	vector	vector	NOUN
sc-1112	169	13	extracted	extract	VERB
sc-1112	169	14	from	from	ADP
sc-1112	169	15	the	the	DET
sc-1112	169	16	cnn	cnn	PROPN
sc-1112	169	17	layer	layer	NOUN
sc-1112	169	18	.	.	PUNCT
sc-1112	170	1	the	the	DET
sc-1112	170	2	output	output	NOUN
sc-1112	170	3	of	of	ADP
sc-1112	170	4	the	the	DET
sc-1112	170	5	cnn	cnn	PROPN
sc-1112	170	6	layer	layer	NOUN
sc-1112	170	7	is	be	AUX
sc-1112	170	8	treated	treat	VERB
sc-1112	170	9	as	as	ADP
sc-1112	170	10	an	an	DET
sc-1112	170	11	input	input	NOUN
sc-1112	170	12	for	for	ADP
sc-1112	170	13	long	long	ADJ
sc-1112	170	14	short	short	ADJ
sc-1112	170	15	term	term	NOUN
sc-1112	170	16	memory	memory	NOUN
sc-1112	170	17	(	(	PUNCT
sc-1112	170	18	lstm	lstm	NOUN
sc-1112	170	19	)	)	PUNCT
sc-1112	170	20	network	network	NOUN
sc-1112	170	21	to	to	PART
sc-1112	170	22	conduct	conduct	VERB
sc-1112	170	23	temporal	temporal	ADJ
sc-1112	170	24	modeling	modeling	NOUN
sc-1112	170	25	of	of	ADP
sc-1112	170	26	air	air	NOUN
sc-1112	170	27	pollution	pollution	NOUN
sc-1112	170	28	data	datum	NOUN
sc-1112	170	29	.	.	PUNCT
sc-1112	171	1	lstm	lstm	PROPN
sc-1112	171	2	network	network	NOUN
sc-1112	171	3	is	be	AUX
sc-1112	171	4	a	a	DET
sc-1112	171	5	long	long	ADJ
sc-1112	171	6	short	short	ADJ
sc-1112	171	7	term	term	NOUN
sc-1112	171	8	memory	memory	NOUN
sc-1112	171	9	network	network	NOUN
sc-1112	171	10	that	that	PRON
sc-1112	171	11	is	be	AUX
sc-1112	171	12	suitable	suitable	ADJ
sc-1112	171	13	for	for	ADP
sc-1112	171	14	dealing	deal	VERB
sc-1112	171	15	with	with	ADP
sc-1112	171	16	the	the	DET
sc-1112	171	17	longer	long	ADJ
sc-1112	171	18	sequences	sequence	NOUN
sc-1112	171	19	time	time	PROPN
sc-1112	171	20	series	series	PROPN
sc-1112	171	21	dataset	dataset	PROPN
sc-1112	171	22	.	.	PUNCT
sc-1112	172	1	lstm	lstm	PROPN
sc-1112	172	2	differs	differ	VERB
sc-1112	172	3	from	from	ADP
sc-1112	172	4	rnn	rnn	PROPN
sc-1112	172	5	due	due	ADP
sc-1112	172	6	to	to	ADP
sc-1112	172	7	the	the	DET
sc-1112	172	8	addition	addition	NOUN
sc-1112	172	9	of	of	ADP
sc-1112	172	10	a	a	DET
sc-1112	172	11	processor	processor	NOUN
sc-1112	172	12	,	,	PUNCT
sc-1112	172	13	which	which	PRON
sc-1112	172	14	is	be	AUX
sc-1112	172	15	utilized	utilize	VERB
sc-1112	172	16	to	to	PART
sc-1112	172	17	judge	judge	VERB
sc-1112	172	18	the	the	DET
sc-1112	172	19	usefulness	usefulness	NOUN
sc-1112	172	20	of	of	ADP
sc-1112	172	21	the	the	DET
sc-1112	172	22	information	information	NOUN
sc-1112	172	23	.	.	PUNCT
sc-1112	173	1	the	the	DET
sc-1112	173	2	structure	structure	NOUN
sc-1112	173	3	of	of	ADP
sc-1112	173	4	this	this	DET
sc-1112	173	5	processor	processor	NOUN
sc-1112	173	6	is	be	AUX
sc-1112	173	7	known	know	VERB
sc-1112	173	8	as	as	ADP
sc-1112	173	9	a	a	DET
sc-1112	173	10	cell	cell	NOUN
sc-1112	173	11	.	.	PUNCT
sc-1112	174	1	usually	usually	ADV
sc-1112	174	2	,	,	PUNCT
sc-1112	174	3	lstm	lstm	NOUN
sc-1112	174	4	contains	contain	VERB
sc-1112	174	5	three	three	NUM
sc-1112	174	6	gates	gate	NOUN
sc-1112	174	7	in	in	ADP
sc-1112	174	8	a	a	DET
sc-1112	174	9	cell	cell	NOUN
sc-1112	174	10	,	,	PUNCT
sc-1112	174	11	i.e.	i.e.	X
sc-1112	174	12	,	,	PUNCT
sc-1112	174	13	input	input	NOUN
sc-1112	174	14	gate	gate	NOUN
sc-1112	174	15	,	,	PUNCT
sc-1112	174	16	forget	forget	VERB
sc-1112	174	17	gate	gate	NOUN
sc-1112	174	18	,	,	PUNCT
sc-1112	174	19	and	and	CCONJ
sc-1112	174	20	output	output	NOUN
sc-1112	174	21	gate	gate	NOUN
sc-1112	174	22	.	.	PUNCT
sc-1112	175	1	the	the	DET
sc-1112	175	2	forget	forget	NOUN
sc-1112	175	3	controls	control	VERB
sc-1112	175	4	selectively	selectively	ADV
sc-1112	175	5	how	how	SCONJ
sc-1112	175	6	much	much	ADJ
sc-1112	175	7	information	information	NOUN
sc-1112	175	8	need	need	VERB
sc-1112	175	9	to	to	PART
sc-1112	175	10	forget	forget	VERB
sc-1112	175	11	from	from	ADP
sc-1112	175	12	the	the	DET
sc-1112	175	13	current	current	ADJ
sc-1112	175	14	cell	cell	NOUN
sc-1112	175	15	.	.	PUNCT
sc-1112	176	1	the	the	DET
sc-1112	176	2	output	output	NOUN
sc-1112	176	3	gate	gate	NOUN
sc-1112	176	4	computes	compute	VERB
sc-1112	176	5	the	the	DET
sc-1112	176	6	output	output	NOUN
sc-1112	176	7	information	information	NOUN
sc-1112	176	8	,	,	PUNCT
sc-1112	176	9	i.e.	i.e.	X
sc-1112	176	10	,	,	PUNCT
sc-1112	176	11	predicted	predict	VERB
sc-1112	176	12	pm10	pm10	PROPN
sc-1112	176	13	concentration	concentration	NOUN
sc-1112	176	14	level	level	NOUN
sc-1112	176	15	.	.	PUNCT
sc-1112	177	1	input	input	NOUN
sc-1112	177	2	,	,	PUNCT
sc-1112	177	3	output	output	NOUN
sc-1112	177	4	and	and	CCONJ
sc-1112	177	5	forget	forget	VERB
sc-1112	177	6	can	can	AUX
sc-1112	177	7	be	be	AUX
sc-1112	177	8	implemented	implement	VERB
sc-1112	177	9	by	by	ADP
sc-1112	177	10	using	use	VERB
sc-1112	177	11	the	the	DET
sc-1112	177	12	following	follow	VERB
sc-1112	177	13	formulas	formula	NOUN
sc-1112	177	14	,	,	PUNCT
sc-1112	177	15	it	it	PRON
sc-1112	177	16	=	=	SYM
sc-1112	177	17	σ	σ	PROPN
sc-1112	177	18	(	(	PUNCT
sc-1112	177	19	uih(t−1	uih(t−1	NOUN
sc-1112	177	20	)	)	PUNCT
sc-1112	178	1	+	+	CCONJ
sc-1112	178	2	wixt	wixt	ADJ
sc-1112	178	3	+	+	CCONJ
sc-1112	178	4	bi	bi	NOUN
sc-1112	178	5	)	)	PUNCT
sc-1112	178	6	(	(	PUNCT
sc-1112	178	7	5	5	X
sc-1112	178	8	)	)	PUNCT
sc-1112	178	9	ct	ct	NOUN
sc-1112	178	10	=	=	PUNCT
sc-1112	178	11	ft	ft	PROPN
sc-1112	178	12	�	�	PROPN
sc-1112	178	13	c(t−1	c(t−1	PROPN
sc-1112	178	14	)	)	PUNCT
sc-1112	179	1	+	+	CCONJ
sc-1112	179	2	it	it	PRON
sc-1112	179	3	�	�	PROPN
sc-1112	179	4	tanh(uch(t−1	tanh(uch(t−1	NOUN
sc-1112	179	5	)	)	PUNCT
sc-1112	179	6	)	)	PUNCT
sc-1112	180	1	+	+	CCONJ
sc-1112	180	2	wcxt	wcxt	NOUN
sc-1112	180	3	+	+	CCONJ
sc-1112	180	4	bc	bc	PROPN
sc-1112	180	5	)	)	PUNCT
sc-1112	180	6	(	(	PUNCT
sc-1112	180	7	6	6	NUM
sc-1112	180	8	)	)	PUNCT
sc-1112	180	9	ft	ft	NOUN
sc-1112	180	10	=	=	PROPN
sc-1112	180	11	σ	σ	PROPN
sc-1112	180	12	(	(	PUNCT
sc-1112	180	13	uf	uf	PROPN
sc-1112	180	14	h(t−1	h(t−1	PROPN
sc-1112	180	15	)	)	PUNCT
sc-1112	180	16	+	+	CCONJ
sc-1112	180	17	wf	wf	PROPN
sc-1112	180	18	xt	xt	PROPN
sc-1112	181	1	+	+	CCONJ
sc-1112	181	2	bf	bf	NOUN
sc-1112	181	3	)	)	PUNCT
sc-1112	182	1	(	(	PUNCT
sc-1112	182	2	7	7	X
sc-1112	182	3	)	)	PUNCT
sc-1112	182	4	ot	ot	NOUN
sc-1112	182	5	=	=	PROPN
sc-1112	182	6	σ	σ	PROPN
sc-1112	182	7	(	(	PUNCT
sc-1112	182	8	uoh(t−1	uoh(t−1	NOUN
sc-1112	182	9	)	)	PUNCT
sc-1112	182	10	+	+	CCONJ
sc-1112	182	11	woxt	woxt	PROPN
sc-1112	182	12	+	+	CCONJ
sc-1112	182	13	bo	bo	PROPN
sc-1112	182	14	)	)	PUNCT
sc-1112	182	15	(	(	PUNCT
sc-1112	182	16	8)	8)	NUM
sc-1112	182	17	ht	ht	NOUN
sc-1112	182	18	=	=	PUNCT
sc-1112	182	19	ot	ot	PROPN
sc-1112	182	20	�	�	PROPN
sc-1112	182	21	tanh(ct	tanh(ct	PROPN
sc-1112	182	22	)	)	PUNCT
sc-1112	182	23	(	(	PUNCT
sc-1112	182	24	9	9	NUM
sc-1112	182	25	)	)	PUNCT
sc-1112	182	26	where	where	SCONJ
sc-1112	182	27	σ	σ	PROPN
sc-1112	182	28	is	be	AUX
sc-1112	182	29	the	the	DET
sc-1112	182	30	element	element	ADJ
sc-1112	182	31	-	-	PUNCT
sc-1112	182	32	wise	wise	ADJ
sc-1112	182	33	activation	activation	NOUN
sc-1112	182	34	function	function	NOUN
sc-1112	182	35	.	.	PUNCT
sc-1112	183	1	it	it	PRON
sc-1112	183	2	,	,	PUNCT
sc-1112	183	3	ft	ft	X
sc-1112	183	4	,	,	PUNCT
sc-1112	183	5	ot	ot	X
sc-1112	183	6	are	be	AUX
sc-1112	183	7	the	the	DET
sc-1112	183	8	input	input	NOUN
sc-1112	183	9	gate	gate	NOUN
sc-1112	183	10	,	,	PUNCT
sc-1112	183	11	forget	forget	VERB
sc-1112	183	12	gate	gate	NOUN
sc-1112	183	13	and	and	CCONJ
sc-1112	183	14	output	output	NOUN
sc-1112	183	15	gate	gate	NOUN
sc-1112	183	16	respectively	respectively	ADV
sc-1112	183	17	.	.	PUNCT
sc-1112	184	1	ct	ct	INTJ
sc-1112	184	2	,	,	PUNCT
sc-1112	184	3	ht	ht	PROPN
sc-1112	184	4	represents	represent	VERB
sc-1112	184	5	cell	cell	NOUN
sc-1112	184	6	state	state	NOUN
sc-1112	184	7	and	and	CCONJ
sc-1112	184	8	hidden	hide	VERB
sc-1112	184	9	state	state	NOUN
sc-1112	184	10	vectors	vector	NOUN
sc-1112	184	11	.	.	PUNCT
sc-1112	185	1	ui	ui	INTJ
sc-1112	185	2	,	,	PUNCT
sc-1112	186	1	uc	uc	PROPN
sc-1112	186	2	and	and	CCONJ
sc-1112	186	3	uo	uo	NOUN
sc-1112	186	4	represents	represent	VERB
sc-1112	186	5	weight	weight	NOUN
sc-1112	186	6	metrics	metric	NOUN
sc-1112	186	7	for	for	ADP
sc-1112	186	8	hidden	hide	VERB
sc-1112	186	9	state	state	NOUN
sc-1112	186	10	ht	ht	PROPN
sc-1112	186	11	,	,	PUNCT
sc-1112	186	12	whereas	whereas	SCONJ
sc-1112	186	13	wi	wi	PROPN
sc-1112	186	14	and	and	CCONJ
sc-1112	186	15	wc	wc	PROPN
sc-1112	186	16	,	,	PUNCT
sc-1112	186	17	wo	will	AUX
sc-1112	186	18	and	and	CCONJ
sc-1112	186	19	wf	wf	PROPN
sc-1112	186	20	are	be	AUX
sc-1112	186	21	the	the	DET
sc-1112	186	22	weight	weight	NOUN
sc-1112	186	23	matrices	matrix	NOUN
sc-1112	186	24	of	of	ADP
sc-1112	186	25	other	other	ADJ
sc-1112	186	26	gates	gate	NOUN
sc-1112	186	27	.	.	PUNCT
sc-1112	187	1	bi	bi	NOUN
sc-1112	187	2	,	,	PUNCT
sc-1112	187	3	bf	bf	INTJ
sc-1112	187	4	,	,	PUNCT
sc-1112	187	5	bo	bo	PROPN
sc-1112	187	6	are	be	AUX
sc-1112	187	7	the	the	DET
sc-1112	187	8	bias	bias	NOUN
sc-1112	187	9	vector	vector	NOUN
sc-1112	187	10	for	for	ADP
sc-1112	187	11	input	input	NOUN
sc-1112	187	12	gate	gate	NOUN
sc-1112	187	13	,	,	PUNCT
sc-1112	187	14	forget	forget	VERB
sc-1112	187	15	gate	gate	NOUN
sc-1112	187	16	and	and	CCONJ
sc-1112	187	17	output	output	NOUN
sc-1112	187	18	gate	gate	NOUN
sc-1112	187	19	respectively	respectively	ADV
sc-1112	187	20	.	.	PUNCT
sc-1112	188	1	the	the	DET
sc-1112	188	2	basic	basic	ADJ
sc-1112	188	3	structure	structure	NOUN
sc-1112	188	4	of	of	ADP
sc-1112	188	5	lstm	lstm	NOUN
sc-1112	188	6	is	be	AUX
sc-1112	188	7	presented	present	VERB
sc-1112	188	8	in	in	ADP
sc-1112	188	9	figure	figure	NOUN
sc-1112	188	10	2	2	NUM
sc-1112	188	11	.	.	PUNCT
sc-1112	188	12	figure	figure	NOUN
sc-1112	188	13	2	2	NUM
sc-1112	188	14	.	.	PUNCT
sc-1112	188	15	lstm	lstm	ADJ
sc-1112	188	16	structure	structure	NOUN
sc-1112	188	17	this	this	DET
sc-1112	188	18	paper	paper	NOUN
sc-1112	188	19	utilized	utilize	VERB
sc-1112	188	20	the	the	DET
sc-1112	188	21	bidirectional	bidirectional	ADJ
sc-1112	188	22	lstm	lstm	NOUN
sc-1112	188	23	(	(	PUNCT
sc-1112	188	24	bilstm	bilstm	NOUN
sc-1112	188	25	)	)	PUNCT
sc-1112	188	26	model	model	NOUN
sc-1112	188	27	(	(	PUNCT
sc-1112	188	28	verma	verma	PROPN
sc-1112	188	29	et	et	PROPN
sc-1112	188	30	al	al	PROPN
sc-1112	188	31	.	.	PROPN
sc-1112	188	32	2018	2018	NUM
sc-1112	188	33	;	;	PUNCT
sc-1112	188	34	graves	grave	NOUN
sc-1112	188	35	and	and	CCONJ
sc-1112	188	36	schmidhuber	schmidhuber	PROPN
sc-1112	188	37	5	5	NUM
sc-1112	188	38	eai	eai	NOUN
sc-1112	188	39	endorsed	endorse	VERB
sc-1112	188	40	transactions	transaction	NOUN
sc-1112	188	41	on	on	ADP
sc-1112	188	42	smart	smart	ADJ
sc-1112	188	43	cities	city	NOUN
sc-1112	188	44	01	01	NUM
sc-1112	188	45	2021	2021	NUM
sc-1112	188	46	04	04	NUM
sc-1112	188	47	2021	2021	NUM
sc-1112	188	48	|	|	ADV
sc-1112	188	49	volume	volume	NOUN
sc-1112	188	50	5	5	NUM
sc-1112	188	51	|	|	ADV
sc-1112	188	52	issue	issue	NOUN
sc-1112	188	53	14	14	NUM
sc-1112	188	54	|	|	NOUN
sc-1112	188	55	e4	e4	PROPN
sc-1112	188	56	k.krishna	k.krishna	VERB
sc-1112	188	57	rani	rani	PROPN
sc-1112	188	58	samal	samal	PROPN
sc-1112	188	59	et	et	PROPN
sc-1112	188	60	al	al	PROPN
sc-1112	188	61	.	.	PROPN
sc-1112	188	62	2005	2005	NUM
sc-1112	188	63	;	;	PUNCT
sc-1112	188	64	sun	sun	PROPN
sc-1112	188	65	et	et	PROPN
sc-1112	188	66	al	al	PROPN
sc-1112	188	67	.	.	PROPN
sc-1112	188	68	2019	2019	NUM
sc-1112	188	69	)	)	PUNCT
sc-1112	188	70	,	,	PUNCT
sc-1112	188	71	which	which	PRON
sc-1112	188	72	exhibits	exhibit	VERB
sc-1112	188	73	bidirectional	bidirectional	ADJ
sc-1112	188	74	properties	property	NOUN
sc-1112	188	75	of	of	ADP
sc-1112	188	76	the	the	DET
sc-1112	188	77	lstm	lstm	PROPN
sc-1112	188	78	network	network	NOUN
sc-1112	188	79	,	,	PUNCT
sc-1112	188	80	where	where	SCONJ
sc-1112	188	81	both	both	PRON
sc-1112	188	82	past	past	ADJ
sc-1112	188	83	and	and	CCONJ
sc-1112	188	84	future	future	ADJ
sc-1112	188	85	data	datum	NOUN
sc-1112	188	86	play	play	VERB
sc-1112	188	87	an	an	DET
sc-1112	188	88	important	important	ADJ
sc-1112	188	89	role	role	NOUN
sc-1112	188	90	in	in	ADP
sc-1112	188	91	time	time	NOUN
sc-1112	188	92	series	series	PROPN
sc-1112	188	93	analysis	analysis	NOUN
sc-1112	188	94	.	.	PUNCT
sc-1112	189	1	two	two	NUM
sc-1112	189	2	lstm	lstm	ADJ
sc-1112	189	3	units	unit	NOUN
sc-1112	189	4	stacked	stack	VERB
sc-1112	189	5	over	over	ADP
sc-1112	189	6	each	each	DET
sc-1112	189	7	other	other	ADJ
sc-1112	189	8	in	in	ADP
sc-1112	189	9	the	the	DET
sc-1112	189	10	bilstm	bilstm	NOUN
sc-1112	189	11	model	model	NOUN
sc-1112	189	12	(	(	PUNCT
sc-1112	189	13	forward	forward	ADV
sc-1112	189	14	and	and	CCONJ
sc-1112	189	15	backward	backward	ADJ
sc-1112	189	16	)	)	PUNCT
sc-1112	189	17	.	.	PUNCT
sc-1112	190	1	this	this	DET
sc-1112	190	2	model	model	NOUN
sc-1112	190	3	is	be	AUX
sc-1112	190	4	capable	capable	ADJ
sc-1112	190	5	enough	enough	ADV
sc-1112	190	6	to	to	PART
sc-1112	190	7	handle	handle	VERB
sc-1112	190	8	long	long	ADJ
sc-1112	190	9	-	-	PUNCT
sc-1112	190	10	term	term	NOUN
sc-1112	190	11	dependencies	dependency	NOUN
sc-1112	190	12	without	without	ADP
sc-1112	190	13	knowing	know	VERB
sc-1112	190	14	prior	prior	ADJ
sc-1112	190	15	information	information	NOUN
sc-1112	190	16	about	about	ADP
sc-1112	190	17	past	past	ADJ
sc-1112	190	18	and	and	CCONJ
sc-1112	190	19	future	future	ADJ
sc-1112	190	20	data	datum	NOUN
sc-1112	190	21	.	.	PUNCT
sc-1112	191	1	the	the	DET
sc-1112	191	2	stacked	stack	VERB
sc-1112	191	3	lstm	lstm	NOUN
sc-1112	191	4	layer	layer	NOUN
sc-1112	191	5	helps	help	VERB
sc-1112	191	6	to	to	PART
sc-1112	191	7	capture	capture	VERB
sc-1112	191	8	hierarchical	hierarchical	ADJ
sc-1112	191	9	features	feature	NOUN
sc-1112	191	10	in	in	ADP
sc-1112	191	11	the	the	DET
sc-1112	191	12	temporal	temporal	ADJ
sc-1112	191	13	domain	domain	NOUN
sc-1112	191	14	very	very	ADV
sc-1112	191	15	efficiently	efficiently	ADV
sc-1112	191	16	.	.	PUNCT
sc-1112	192	1	the	the	DET
sc-1112	192	2	output	output	NOUN
sc-1112	192	3	of	of	ADP
sc-1112	192	4	each	each	DET
sc-1112	192	5	bilstm	bilstm	NOUN
sc-1112	192	6	layer	layer	NOUN
sc-1112	192	7	fed	feed	VERB
sc-1112	192	8	into	into	ADP
sc-1112	192	9	a	a	DET
sc-1112	192	10	fully	fully	ADV
sc-1112	192	11	connected	connect	VERB
sc-1112	192	12	layer	layer	NOUN
sc-1112	192	13	.	.	PUNCT
sc-1112	193	1	this	this	PRON
sc-1112	193	2	is	be	AUX
sc-1112	193	3	usually	usually	ADV
sc-1112	193	4	a	a	DET
sc-1112	193	5	dense	dense	ADJ
sc-1112	193	6	presentation	presentation	NOUN
sc-1112	193	7	.	.	PUNCT
sc-1112	194	1	this	this	DET
sc-1112	194	2	process	process	NOUN
sc-1112	194	3	continued	continue	VERB
sc-1112	194	4	for	for	ADP
sc-1112	194	5	each	each	DET
sc-1112	194	6	time	time	NOUN
sc-1112	194	7	step	step	NOUN
sc-1112	194	8	.	.	PUNCT
sc-1112	195	1	the	the	DET
sc-1112	195	2	output	output	NOUN
sc-1112	195	3	of	of	ADP
sc-1112	195	4	the	the	DET
sc-1112	195	5	final	final	ADJ
sc-1112	195	6	timestamp	timestamp	NOUN
sc-1112	195	7	will	will	AUX
sc-1112	195	8	give	give	VERB
sc-1112	195	9	the	the	DET
sc-1112	195	10	time	time	NOUN
sc-1112	195	11	series	series	PROPN
sc-1112	195	12	prediction	prediction	NOUN
sc-1112	195	13	results	result	VERB
sc-1112	195	14	for	for	ADP
sc-1112	195	15	each	each	DET
sc-1112	195	16	monitoring	monitoring	NOUN
sc-1112	195	17	site	site	NOUN
sc-1112	195	18	.	.	PUNCT
sc-1112	196	1	so	so	ADV
sc-1112	196	2	implementing	implement	VERB
sc-1112	196	3	this	this	DET
sc-1112	196	4	model	model	NOUN
sc-1112	196	5	could	could	AUX
sc-1112	196	6	provide	provide	VERB
sc-1112	196	7	better	well	ADJ
sc-1112	196	8	time	time	NOUN
sc-1112	196	9	series	series	PROPN
sc-1112	196	10	prediction	prediction	NOUN
sc-1112	196	11	accuracy	accuracy	NOUN
sc-1112	196	12	.	.	PUNCT
sc-1112	197	1	the	the	DET
sc-1112	197	2	basic	basic	ADJ
sc-1112	197	3	structure	structure	NOUN
sc-1112	197	4	of	of	ADP
sc-1112	197	5	the	the	DET
sc-1112	197	6	bilstm	bilstm	NOUN
sc-1112	197	7	unit	unit	NOUN
sc-1112	197	8	is	be	AUX
sc-1112	197	9	shown	show	VERB
sc-1112	197	10	in	in	ADP
sc-1112	197	11	figure	figure	NOUN
sc-1112	197	12	3	3	NUM
sc-1112	197	13	.	.	PUNCT
sc-1112	197	14	figure	figure	VERB
sc-1112	197	15	3	3	NUM
sc-1112	197	16	.	.	PUNCT
sc-1112	197	17	bilstm	bilstm	NOUN
sc-1112	197	18	structure	structure	NOUN
sc-1112	197	19	it	it	PRON
sc-1112	197	20	propagates	propagate	VERB
sc-1112	197	21	the	the	DET
sc-1112	197	22	data	datum	NOUN
sc-1112	197	23	through	through	ADP
sc-1112	197	24	both	both	DET
sc-1112	197	25	directions	direction	NOUN
sc-1112	197	26	i.e.	i.e.	ADV
sc-1112	197	27	,	,	PUNCT
sc-1112	197	28	called	call	VERB
sc-1112	197	29	forward	forward	ADV
sc-1112	197	30	propagation	propagation	NOUN
sc-1112	197	31	and	and	CCONJ
sc-1112	197	32	backward	backward	ADJ
sc-1112	197	33	propagation	propagation	NOUN
sc-1112	197	34	.	.	PUNCT
sc-1112	198	1	the	the	DET
sc-1112	198	2	forward	forward	ADJ
sc-1112	198	3	propagation	propagation	NOUN
sc-1112	198	4	of	of	ADP
sc-1112	198	5	time	time	NOUN
sc-1112	198	6	series	series	PROPN
sc-1112	198	7	data	datum	NOUN
sc-1112	198	8	in	in	ADP
sc-1112	198	9	bilstm	bilstm	NOUN
sc-1112	198	10	layer	layer	NOUN
sc-1112	198	11	where	where	SCONJ
sc-1112	198	12	time	time	NOUN
sc-1112	198	13	t	t	PROPN
sc-1112	198	14	ranges	range	VERB
sc-1112	198	15	from	from	ADP
sc-1112	198	16	1	1	NUM
sc-1112	198	17	to	to	ADP
sc-1112	198	18	t	t	PROPN
sc-1112	198	19	,	,	PUNCT
sc-1112	198	20	can	can	AUX
sc-1112	198	21	be	be	AUX
sc-1112	198	22	formulated	formulate	VERB
sc-1112	198	23	as	as	ADP
sc-1112	198	24	below	below	ADV
sc-1112	198	25	,	,	PUNCT
sc-1112	198	26	−→	−→	VERB
sc-1112	198	27	it	it	PRON
sc-1112	198	28	=	=	SYM
sc-1112	198	29	σ	σ	NOUN
sc-1112	198	30	(	(	PUNCT
sc-1112	198	31	−→ui	−→ui	NOUN
sc-1112	198	32	−−−−−→	−−−−−→	X
sc-1112	198	33	h(t−1	h(t−1	NOUN
sc-1112	198	34	)	)	PUNCT
sc-1112	198	35	+	+	NUM
sc-1112	198	36	−−→wi	−−→wi	NOUN
sc-1112	198	37	−→x	−→x	NOUN
sc-1112	198	38	t	t	NOUN
sc-1112	199	1	+	+	CCONJ
sc-1112	199	2	−→	−→	ADJ
sc-1112	199	3	bi	bi	NOUN
sc-1112	199	4	)	)	PUNCT
sc-1112	199	5	(	(	PUNCT
sc-1112	199	6	10	10	NUM
sc-1112	199	7	)	)	PUNCT
sc-1112	199	8	−→ct	−→ct	ADV
sc-1112	200	1	=	=	PUNCT
sc-1112	200	2	−→	−→	ADJ
sc-1112	200	3	ft	ft	PROPN
sc-1112	200	4	�	�	PROPN
sc-1112	200	5	−−−−→c(t−1	−−−−→c(t−1	PROPN
sc-1112	200	6	)	)	PUNCT
sc-1112	201	1	+	+	CCONJ
sc-1112	201	2	−→	−→	ADJ
sc-1112	201	3	it	it	PRON
sc-1112	201	4	�	�	PROPN
sc-1112	201	5	tanh(−→uc	tanh(−→uc	NOUN
sc-1112	201	6	−−−−−→	−−−−−→	X
sc-1112	201	7	h(t−1	h(t−1	NOUN
sc-1112	201	8	)	)	PUNCT
sc-1112	201	9	)	)	PUNCT
sc-1112	202	1	+	+	CCONJ
sc-1112	202	2	−→w	−→w	PUNCT
sc-1112	202	3	c	c	NOUN
sc-1112	202	4	−→xt	−→xt	NOUN
sc-1112	202	5	+	+	CCONJ
sc-1112	202	6	−→	−→	ADJ
sc-1112	202	7	bc	bc	PROPN
sc-1112	202	8	)	)	PUNCT
sc-1112	202	9	(	(	PUNCT
sc-1112	202	10	11	11	X
sc-1112	202	11	)	)	PUNCT
sc-1112	202	12	−→	−→	NOUN
sc-1112	202	13	ft	ft	NOUN
sc-1112	202	14	=	=	PUNCT
sc-1112	202	15	σ	σ	PROPN
sc-1112	202	16	(	(	PUNCT
sc-1112	202	17	−−→uf	−−→uf	PROPN
sc-1112	202	18	−−−−−→	−−−−−→	X
sc-1112	202	19	h(t−1	h(t−1	NOUN
sc-1112	202	20	)	)	PUNCT
sc-1112	202	21	+	+	CCONJ
sc-1112	203	1	−−→wf	−−→wf	NOUN
sc-1112	203	2	−→xt	−→xt	NOUN
sc-1112	203	3	+	+	CCONJ
sc-1112	203	4	−−→	−−→	PROPN
sc-1112	203	5	bf	bf	NOUN
sc-1112	203	6	)	)	PUNCT
sc-1112	203	7	(	(	PUNCT
sc-1112	203	8	12	12	NUM
sc-1112	203	9	)	)	PUNCT
sc-1112	203	10	−→ot	−→ot	NOUN
sc-1112	203	11	=	=	SYM
sc-1112	203	12	σ	σ	PROPN
sc-1112	203	13	(	(	PUNCT
sc-1112	203	14	−→uo	−→uo	NUM
sc-1112	203	15	−−−−−→	−−−−−→	X
sc-1112	203	16	h(t−1	h(t−1	NOUN
sc-1112	203	17	)	)	PUNCT
sc-1112	203	18	+	+	CCONJ
sc-1112	203	19	−−→wo	−−→wo	ADJ
sc-1112	203	20	−→xt	−→xt	NOUN
sc-1112	203	21	+	+	CCONJ
sc-1112	203	22	−→	−→	ADV
sc-1112	203	23	bo	bo	PROPN
sc-1112	203	24	)	)	PUNCT
sc-1112	203	25	(	(	PUNCT
sc-1112	203	26	13	13	X
sc-1112	203	27	)	)	PUNCT
sc-1112	203	28	−→	−→	NOUN
sc-1112	203	29	ht	ht	NOUN
sc-1112	203	30	=	=	SYM
sc-1112	203	31	−→ot	−→ot	NUM
sc-1112	203	32	�	�	PROPN
sc-1112	203	33	tanh(−→ct	tanh(−→ct	NOUN
sc-1112	203	34	)	)	PUNCT
sc-1112	203	35	(	(	PUNCT
sc-1112	203	36	14	14	NUM
sc-1112	203	37	)	)	PUNCT
sc-1112	203	38	the	the	DET
sc-1112	203	39	left	left	ADJ
sc-1112	203	40	arrow	arrow	NOUN
sc-1112	203	41	denotes	denote	VERB
sc-1112	203	42	the	the	DET
sc-1112	203	43	forward	forward	ADJ
sc-1112	203	44	process	process	NOUN
sc-1112	203	45	.	.	PUNCT
sc-1112	204	1	during	during	ADP
sc-1112	204	2	backward	backward	ADJ
sc-1112	204	3	propagation	propagation	NOUN
sc-1112	204	4	of	of	ADP
sc-1112	204	5	time	time	NOUN
sc-1112	204	6	series	series	PROPN
sc-1112	204	7	data	data	PROPN
sc-1112	204	8	in	in	ADP
sc-1112	204	9	bilstm	bilstm	NOUN
sc-1112	204	10	layer	layer	NOUN
sc-1112	204	11	time	time	NOUN
sc-1112	204	12	,	,	PUNCT
sc-1112	204	13	t	t	PROPN
sc-1112	204	14	ranges	range	VERB
sc-1112	204	15	from	from	ADP
sc-1112	204	16	t	t	PROPN
sc-1112	204	17	to	to	ADP
sc-1112	204	18	1	1	NUM
sc-1112	204	19	.	.	PUNCT
sc-1112	205	1	the	the	DET
sc-1112	205	2	backward	backward	ADJ
sc-1112	205	3	propagation	propagation	NOUN
sc-1112	205	4	operations	operation	NOUN
sc-1112	205	5	,	,	PUNCT
sc-1112	205	6	represented	represent	VERB
sc-1112	205	7	by	by	ADP
sc-1112	205	8	the	the	DET
sc-1112	205	9	right	right	ADJ
sc-1112	205	10	arrow	arrow	NOUN
sc-1112	205	11	,	,	PUNCT
sc-1112	205	12	can	can	AUX
sc-1112	205	13	be	be	AUX
sc-1112	205	14	formulated	formulate	VERB
sc-1112	205	15	using	use	VERB
sc-1112	205	16	equation	equation	NOUN
sc-1112	205	17	15	15	NUM
sc-1112	205	18	-	-	SYM
sc-1112	205	19	19	19	NUM
sc-1112	205	20	.	.	PUNCT
sc-1112	206	1	←−	←−	VERB
sc-1112	206	2	it	it	PRON
sc-1112	206	3	=	=	SYM
sc-1112	206	4	σ	σ	NOUN
sc-1112	206	5	(	(	PUNCT
sc-1112	206	6	←−ui	←−ui	PROPN
sc-1112	206	7	←−−−−−	←−−−−−	PROPN
sc-1112	206	8	h(t−1	h(t−1	NOUN
sc-1112	206	9	)	)	PUNCT
sc-1112	207	1	+	+	NOUN
sc-1112	207	2	←−w	←−w	ADJ
sc-1112	207	3	i	i	PRON
sc-1112	207	4	←−xt	←−xt	PROPN
sc-1112	207	5	+	+	CCONJ
sc-1112	207	6	←−	←−	ADJ
sc-1112	207	7	bi	bi	NOUN
sc-1112	207	8	)	)	PUNCT
sc-1112	207	9	(	(	PUNCT
sc-1112	207	10	15	15	NUM
sc-1112	207	11	)	)	PUNCT
sc-1112	207	12	←−ct	←−ct	PROPN
sc-1112	207	13	=	=	SYM
sc-1112	207	14	←−	←−	PROPN
sc-1112	207	15	ft	ft	PRON
sc-1112	207	16	�	�	PROPN
sc-1112	207	17	←−−−−c(t−1	←−−−−c(t−1	NOUN
sc-1112	207	18	)	)	PUNCT
sc-1112	207	19	+	+	CCONJ
sc-1112	207	20	←−	←−	VERB
sc-1112	207	21	it	it	PRON
sc-1112	207	22	�	�	INTJ
sc-1112	207	23	tanh(←−u	tanh(←−u	PUNCT
sc-1112	207	24	c	c	X
sc-1112	207	25	←−−−−−	←−−−−−	PUNCT
sc-1112	207	26	h(t−1	h(t−1	NOUN
sc-1112	207	27	)	)	PUNCT
sc-1112	207	28	)	)	PUNCT
sc-1112	208	1	+	+	CCONJ
sc-1112	208	2	←−−wc←−x	←−−wc←−x	VERB
sc-1112	208	3	t	t	NOUN
sc-1112	208	4	+	+	CCONJ
sc-1112	208	5	←−	←−	PROPN
sc-1112	208	6	bc	bc	PROPN
sc-1112	208	7	)	)	PUNCT
sc-1112	208	8	(	(	PUNCT
sc-1112	208	9	16	16	NUM
sc-1112	208	10	)	)	PUNCT
sc-1112	208	11	←−	←−	PROPN
sc-1112	208	12	f	f	NOUN
sc-1112	208	13	t	t	PROPN
sc-1112	208	14	=	=	SYM
sc-1112	208	15	σ	σ	PROPN
sc-1112	208	16	(	(	PUNCT
sc-1112	208	17	←−−uf	←−−uf	PROPN
sc-1112	208	18	←−−−−−	←−−−−−	PROPN
sc-1112	208	19	h(t−1	h(t−1	PROPN
sc-1112	208	20	)	)	PUNCT
sc-1112	208	21	+	+	VERB
sc-1112	208	22	←−−wf	←−−wf	PROPN
sc-1112	208	23	←−x	←−x	ADP
sc-1112	208	24	t	t	PROPN
sc-1112	208	25	+	+	CCONJ
sc-1112	208	26	←−−	←−−	PROPN
sc-1112	208	27	bf	bf	NOUN
sc-1112	208	28	)	)	PUNCT
sc-1112	208	29	(	(	PUNCT
sc-1112	208	30	17	17	NUM
sc-1112	208	31	)	)	PUNCT
sc-1112	208	32	←−ot	←−ot	PROPN
sc-1112	208	33	=	=	SYM
sc-1112	208	34	σ	σ	PROPN
sc-1112	208	35	(	(	PUNCT
sc-1112	208	36	←−uo	←−uo	PROPN
sc-1112	208	37	←−−−−−	←−−−−−	NUM
sc-1112	208	38	h(t−1	h(t−1	NOUN
sc-1112	208	39	)	)	PUNCT
sc-1112	208	40	+	+	ADP
sc-1112	208	41	←−−wo←−x	←−−wo←−x	PROPN
sc-1112	208	42	t	t	X
sc-1112	208	43	+	+	CCONJ
sc-1112	208	44	←−	←−	PROPN
sc-1112	208	45	bo	bo	PROPN
sc-1112	208	46	)	)	PUNCT
sc-1112	208	47	(	(	PUNCT
sc-1112	208	48	18	18	NUM
sc-1112	208	49	)	)	PUNCT
sc-1112	208	50	←−	←−	VERB
sc-1112	208	51	ht	ht	NOUN
sc-1112	208	52	=	=	SYM
sc-1112	208	53	←−ot	←−ot	PROPN
sc-1112	208	54	�	�	PROPN
sc-1112	208	55	tanh(←−c	tanh(←−c	PROPN
sc-1112	208	56	t	t	PROPN
sc-1112	208	57	)	)	PUNCT
sc-1112	208	58	(	(	PUNCT
sc-1112	208	59	19	19	NUM
sc-1112	208	60	)	)	PUNCT
sc-1112	208	61	the	the	DET
sc-1112	208	62	final	final	ADJ
sc-1112	208	63	hidden	hide	VERB
sc-1112	208	64	element	element	NOUN
sc-1112	208	65	ht	ht	PROPN
sc-1112	208	66	can	can	AUX
sc-1112	208	67	computed	compute	VERB
sc-1112	208	68	by	by	ADP
sc-1112	208	69	using	use	VERB
sc-1112	208	70	equation	equation	NOUN
sc-1112	208	71	20	20	NUM
sc-1112	208	72	ht	ht	NOUN
sc-1112	208	73	=	=	PUNCT
sc-1112	208	74	−→	−→	ADJ
sc-1112	208	75	ht	ht	PROPN
sc-1112	208	76	�	�	PROPN
sc-1112	208	77	←−	←−	PROPN
sc-1112	208	78	ht	ht	PROPN
sc-1112	208	79	(	(	PUNCT
sc-1112	208	80	20	20	NUM
sc-1112	208	81	)	)	PUNCT
sc-1112	208	82	where	where	SCONJ
sc-1112	208	83	−→	−→	NOUN
sc-1112	208	84	ht	ht	X
sc-1112	208	85	,	,	PUNCT
sc-1112	208	86	←−	←−	VERB
sc-1112	208	87	ht	ht	PROPN
sc-1112	208	88	denote	denote	VERB
sc-1112	208	89	forward	forward	ADV
sc-1112	208	90	out	out	ADP
sc-1112	208	91	and	and	CCONJ
sc-1112	208	92	backward	backward	ADJ
sc-1112	208	93	output	output	NOUN
sc-1112	208	94	respectively	respectively	ADV
sc-1112	208	95	.	.	PUNCT
sc-1112	209	1	5.3	5.3	NUM
sc-1112	209	2	.	.	PUNCT
sc-1112	210	1	spatial	spatial	ADJ
sc-1112	210	2	modeling	modeling	NOUN
sc-1112	210	3	monitoring	monitor	VERB
sc-1112	210	4	air	air	NOUN
sc-1112	210	5	quality	quality	NOUN
sc-1112	210	6	concentration	concentration	NOUN
sc-1112	210	7	level	level	NOUN
sc-1112	210	8	at	at	ADP
sc-1112	210	9	each	each	DET
sc-1112	210	10	corner	corner	NOUN
sc-1112	210	11	of	of	ADP
sc-1112	210	12	a	a	DET
sc-1112	210	13	location	location	NOUN
sc-1112	210	14	and	and	CCONJ
sc-1112	210	15	implement	implement	VERB
sc-1112	210	16	those	those	DET
sc-1112	210	17	data	datum	NOUN
sc-1112	210	18	for	for	ADP
sc-1112	210	19	further	further	ADJ
sc-1112	210	20	analysis	analysis	NOUN
sc-1112	210	21	to	to	PART
sc-1112	210	22	determine	determine	VERB
sc-1112	210	23	the	the	DET
sc-1112	210	24	air	air	NOUN
sc-1112	210	25	pollution	pollution	NOUN
sc-1112	210	26	impact	impact	NOUN
sc-1112	210	27	on	on	ADP
sc-1112	210	28	public	public	ADJ
sc-1112	210	29	health	health	NOUN
sc-1112	210	30	in	in	ADP
sc-1112	210	31	a	a	DET
sc-1112	210	32	particular	particular	ADJ
sc-1112	210	33	area	area	NOUN
sc-1112	210	34	are	be	AUX
sc-1112	210	35	the	the	DET
sc-1112	210	36	essential	essential	ADJ
sc-1112	210	37	steps	step	NOUN
sc-1112	210	38	in	in	ADP
sc-1112	210	39	government	government	NOUN
sc-1112	210	40	initiated	initiate	VERB
sc-1112	210	41	smart	smart	ADJ
sc-1112	210	42	cities	city	NOUN
sc-1112	210	43	.	.	PUNCT
sc-1112	211	1	the	the	DET
sc-1112	211	2	indian	indian	ADJ
sc-1112	211	3	government	government	NOUN
sc-1112	211	4	could	could	AUX
sc-1112	211	5	establish	establish	VERB
sc-1112	211	6	a	a	DET
sc-1112	211	7	few	few	ADJ
sc-1112	211	8	air	air	NOUN
sc-1112	211	9	quality	quality	NOUN
sc-1112	211	10	monitoring	monitoring	NOUN
sc-1112	211	11	stations	station	NOUN
sc-1112	211	12	due	due	ADP
sc-1112	211	13	to	to	ADP
sc-1112	211	14	the	the	DET
sc-1112	211	15	high	high	ADJ
sc-1112	211	16	construction	construction	NOUN
sc-1112	211	17	cost	cost	NOUN
sc-1112	211	18	of	of	ADP
sc-1112	211	19	monitoring	monitor	VERB
sc-1112	211	20	sites	site	NOUN
sc-1112	211	21	and	and	CCONJ
sc-1112	211	22	low	low	ADJ
sc-1112	211	23	government	government	NOUN
sc-1112	211	24	budget	budget	NOUN
sc-1112	211	25	.	.	PUNCT
sc-1112	212	1	therefore	therefore	ADV
sc-1112	212	2	,	,	PUNCT
sc-1112	212	3	it	it	PRON
sc-1112	212	4	is	be	AUX
sc-1112	212	5	challenging	challenge	VERB
sc-1112	212	6	to	to	PART
sc-1112	212	7	predict	predict	VERB
sc-1112	212	8	the	the	DET
sc-1112	212	9	air	air	NOUN
sc-1112	212	10	quality	quality	NOUN
sc-1112	212	11	level	level	NOUN
sc-1112	212	12	at	at	ADP
sc-1112	212	13	each	each	DET
sc-1112	212	14	location	location	NOUN
sc-1112	212	15	of	of	ADP
sc-1112	212	16	a	a	DET
sc-1112	212	17	study	study	NOUN
sc-1112	212	18	area	area	NOUN
sc-1112	212	19	.	.	PUNCT
sc-1112	213	1	it	it	PRON
sc-1112	213	2	arises	arise	VERB
sc-1112	213	3	the	the	DET
sc-1112	213	4	necessity	necessity	NOUN
sc-1112	213	5	of	of	ADP
sc-1112	213	6	spatial	spatial	ADJ
sc-1112	213	7	modeling	modeling	NOUN
sc-1112	213	8	of	of	ADP
sc-1112	213	9	air	air	NOUN
sc-1112	213	10	pollution	pollution	NOUN
sc-1112	213	11	for	for	ADP
sc-1112	213	12	air	air	NOUN
sc-1112	213	13	quality	quality	NOUN
sc-1112	213	14	prediction	prediction	NOUN
sc-1112	213	15	.	.	PUNCT
sc-1112	214	1	it	it	PRON
sc-1112	214	2	helps	help	VERB
sc-1112	214	3	to	to	PART
sc-1112	214	4	trace	trace	VERB
sc-1112	214	5	the	the	DET
sc-1112	214	6	harmful	harmful	ADJ
sc-1112	214	7	effect	effect	NOUN
sc-1112	214	8	of	of	ADP
sc-1112	214	9	pollution	pollution	NOUN
sc-1112	214	10	over	over	ADP
sc-1112	214	11	a	a	DET
sc-1112	214	12	particular	particular	ADJ
sc-1112	214	13	location	location	NOUN
sc-1112	214	14	.	.	PUNCT
sc-1112	215	1	identifying	identify	VERB
sc-1112	215	2	the	the	DET
sc-1112	215	3	spatial	spatial	ADJ
sc-1112	215	4	distribution	distribution	NOUN
sc-1112	215	5	of	of	ADP
sc-1112	215	6	pollutant	pollutant	ADJ
sc-1112	215	7	concentration	concentration	NOUN
sc-1112	215	8	for	for	ADP
sc-1112	215	9	the	the	DET
sc-1112	215	10	present	present	ADJ
sc-1112	215	11	time	time	NOUN
sc-1112	215	12	may	may	AUX
sc-1112	215	13	not	not	PART
sc-1112	215	14	be	be	AUX
sc-1112	215	15	useful	useful	ADJ
sc-1112	215	16	all	all	DET
sc-1112	215	17	the	the	DET
sc-1112	215	18	time	time	NOUN
sc-1112	215	19	;	;	PUNCT
sc-1112	215	20	instead	instead	ADV
sc-1112	215	21	,	,	PUNCT
sc-1112	215	22	it	it	PRON
sc-1112	215	23	will	will	AUX
sc-1112	215	24	be	be	AUX
sc-1112	215	25	helpful	helpful	ADJ
sc-1112	215	26	if	if	SCONJ
sc-1112	215	27	it	it	PRON
sc-1112	215	28	can	can	AUX
sc-1112	215	29	be	be	AUX
sc-1112	215	30	predicted	predict	VERB
sc-1112	215	31	for	for	ADP
sc-1112	215	32	the	the	DET
sc-1112	215	33	future	future	NOUN
sc-1112	215	34	.	.	PUNCT
sc-1112	216	1	hence	hence	ADV
sc-1112	216	2	,	,	PUNCT
sc-1112	216	3	the	the	DET
sc-1112	216	4	idw	idw	PROPN
sc-1112	216	5	layer	layer	NOUN
sc-1112	216	6	is	be	AUX
sc-1112	216	7	added	add	VERB
sc-1112	216	8	to	to	ADP
sc-1112	216	9	the	the	DET
sc-1112	216	10	top	top	NOUN
sc-1112	216	11	of	of	ADP
sc-1112	216	12	the	the	DET
sc-1112	216	13	cnn	cnn	PROPN
sc-1112	216	14	-	-	PUNCT
sc-1112	216	15	bilstm	bilstm	NOUN
sc-1112	216	16	temporal	temporal	ADJ
sc-1112	216	17	modeling	modeling	NOUN
sc-1112	216	18	layer	layer	NOUN
sc-1112	216	19	.	.	PUNCT
sc-1112	217	1	cnn	cnn	PROPN
sc-1112	217	2	-	-	PUNCT
sc-1112	217	3	bilstm	bilstm	NOUN
sc-1112	217	4	layer	layer	NOUN
sc-1112	217	5	predicts	predict	VERB
sc-1112	217	6	air	air	NOUN
sc-1112	217	7	pollution	pollution	NOUN
sc-1112	217	8	levels	level	NOUN
sc-1112	217	9	for	for	ADP
sc-1112	217	10	the	the	DET
sc-1112	217	11	existing	exist	VERB
sc-1112	217	12	16	16	NUM
sc-1112	217	13	monitoring	monitoring	NOUN
sc-1112	217	14	sites	site	NOUN
sc-1112	217	15	for	for	ADP
sc-1112	217	16	the	the	DET
sc-1112	217	17	next	next	ADJ
sc-1112	217	18	four	four	NUM
sc-1112	217	19	weeks	week	NOUN
sc-1112	217	20	of	of	ADP
sc-1112	217	21	december	december	PROPN
sc-1112	217	22	2015	2015	NUM
sc-1112	217	23	.	.	PUNCT
sc-1112	218	1	then	then	ADV
sc-1112	218	2	the	the	DET
sc-1112	218	3	idw	idw	PROPN
sc-1112	218	4	layer	layer	NOUN
sc-1112	218	5	of	of	ADP
sc-1112	218	6	the	the	DET
sc-1112	218	7	model	model	NOUN
sc-1112	218	8	could	could	AUX
sc-1112	218	9	predict	predict	VERB
sc-1112	218	10	the	the	DET
sc-1112	218	11	spatial	spatial	ADJ
sc-1112	218	12	distribution	distribution	NOUN
sc-1112	218	13	of	of	ADP
sc-1112	218	14	pollutants	pollutant	NOUN
sc-1112	218	15	by	by	ADP
sc-1112	218	16	utilizing	utilize	VERB
sc-1112	218	17	that	that	PRON
sc-1112	218	18	predicted	predict	VERB
sc-1112	218	19	output	output	NOUN
sc-1112	218	20	of	of	ADP
sc-1112	218	21	the	the	DET
sc-1112	218	22	cnn	cnn	PROPN
sc-1112	218	23	-	-	PUNCT
sc-1112	218	24	bilstm	bilstm	NOUN
sc-1112	218	25	layer	layer	NOUN
sc-1112	218	26	.	.	PUNCT
sc-1112	219	1	this	this	DET
sc-1112	219	2	paper	paper	NOUN
sc-1112	219	3	used	use	VERB
sc-1112	219	4	a	a	DET
sc-1112	219	5	distance	distance	NOUN
sc-1112	219	6	-	-	PUNCT
sc-1112	219	7	based	base	VERB
sc-1112	219	8	spatial	spatial	ADJ
sc-1112	219	9	interpolation	interpolation	NOUN
sc-1112	219	10	,	,	PUNCT
sc-1112	219	11	idw	idw	PROPN
sc-1112	219	12	(	(	PUNCT
sc-1112	219	13	bhunia	bhunia	PROPN
sc-1112	219	14	,	,	PUNCT
sc-1112	219	15	shit	shit	NOUN
sc-1112	219	16	,	,	PUNCT
sc-1112	219	17	and	and	CCONJ
sc-1112	219	18	maiti	maiti	NOUN
sc-1112	219	19	2018	2018	NUM
sc-1112	219	20	;	;	PUNCT
sc-1112	219	21	gorai	gorai	X
sc-1112	219	22	,	,	PUNCT
sc-1112	219	23	tchounwou	tchounwou	NOUN
sc-1112	219	24	,	,	PUNCT
sc-1112	219	25	and	and	CCONJ
sc-1112	219	26	mitra	mitra	PROPN
sc-1112	219	27	2017	2017	NUM
sc-1112	219	28	;	;	PUNCT
sc-1112	219	29	x.	x.	PROPN
sc-1112	219	30	xie	xie	PROPN
sc-1112	219	31	et	et	PROPN
sc-1112	219	32	al	al	PROPN
sc-1112	219	33	.	.	PROPN
sc-1112	219	34	2017	2017	NUM
sc-1112	219	35	;	;	PUNCT
sc-1112	219	36	contreras	contreras	PROPN
sc-1112	219	37	and	and	CCONJ
sc-1112	219	38	ferri	ferri	PROPN
sc-1112	219	39	2016	2016	NUM
sc-1112	219	40	)	)	PUNCT
sc-1112	219	41	layer	layer	NOUN
sc-1112	219	42	on	on	ADP
sc-1112	219	43	the	the	DET
sc-1112	219	44	top	top	NOUN
sc-1112	219	45	of	of	ADP
sc-1112	219	46	the	the	DET
sc-1112	219	47	temporal	temporal	ADJ
sc-1112	219	48	prediction	prediction	NOUN
sc-1112	219	49	layer	layer	NOUN
sc-1112	219	50	to	to	PART
sc-1112	219	51	get	get	VERB
sc-1112	219	52	the	the	DET
sc-1112	219	53	prediction	prediction	NOUN
sc-1112	219	54	value	value	NOUN
sc-1112	219	55	of	of	ADP
sc-1112	219	56	each	each	DET
sc-1112	219	57	spatial	spatial	ADJ
sc-1112	219	58	distribution	distribution	NOUN
sc-1112	219	59	.	.	PUNCT
sc-1112	220	1	it	it	PRON
sc-1112	220	2	can	can	AUX
sc-1112	220	3	be	be	AUX
sc-1112	220	4	formulated	formulate	VERB
sc-1112	220	5	as	as	SCONJ
sc-1112	220	6	follows	follow	VERB
sc-1112	220	7	:	:	PUNCT
sc-1112	220	8	ẑ(st0	ẑ(st0	NOUN
sc-1112	220	9	)	)	PUNCT
sc-1112	221	1	=	=	SYM
sc-1112	222	1	∑n	∑n	PROPN
sc-1112	222	2	i=0wisti∑n	i=0wisti∑n	NOUN
sc-1112	222	3	i=0wi	i=0wi	X
sc-1112	222	4	(	(	PUNCT
sc-1112	222	5	21	21	NUM
sc-1112	222	6	)	)	PUNCT
sc-1112	222	7	6	6	NUM
sc-1112	222	8	eai	eai	NOUN
sc-1112	222	9	endorsed	endorse	VERB
sc-1112	222	10	transactions	transaction	NOUN
sc-1112	222	11	on	on	ADP
sc-1112	222	12	smart	smart	ADJ
sc-1112	222	13	cities	city	NOUN
sc-1112	222	14	01	01	NUM
sc-1112	222	15	2021	2021	NUM
sc-1112	222	16	04	04	NUM
sc-1112	222	17	2021	2021	NUM
sc-1112	222	18	|	|	ADV
sc-1112	222	19	volume	volume	NOUN
sc-1112	222	20	5	5	NUM
sc-1112	222	21	|	|	ADV
sc-1112	222	22	issue	issue	VERB
sc-1112	222	23	14	14	NUM
sc-1112	222	24	|	|	ADV
sc-1112	222	25	e4	e4	PROPN
sc-1112	222	26	spatio	spatio	NOUN
sc-1112	222	27	-	-	PUNCT
sc-1112	222	28	temporal	temporal	ADJ
sc-1112	222	29	prediction	prediction	NOUN
sc-1112	222	30	of	of	ADP
sc-1112	222	31	air	air	NOUN
sc-1112	222	32	quality	quality	NOUN
sc-1112	222	33	using	use	VERB
sc-1112	222	34	distance	distance	NOUN
sc-1112	222	35	based	base	VERB
sc-1112	222	36	interpolation	interpolation	NOUN
sc-1112	222	37	and	and	CCONJ
sc-1112	222	38	deep	deep	ADJ
sc-1112	222	39	learning	learning	NOUN
sc-1112	222	40	techniques	technique	NOUN
sc-1112	222	41	where	where	SCONJ
sc-1112	222	42	,	,	PUNCT
sc-1112	222	43	ẑ(st0	ẑ(st0	PROPN
sc-1112	222	44	)	)	PUNCT
sc-1112	222	45	is	be	AUX
sc-1112	222	46	the	the	DET
sc-1112	222	47	predicted	predict	VERB
sc-1112	222	48	value	value	NOUN
sc-1112	222	49	for	for	ADP
sc-1112	222	50	unsampled	unsampled	ADJ
sc-1112	222	51	point	point	NOUN
sc-1112	222	52	st0	st0	NOUN
sc-1112	222	53	,	,	PUNCT
sc-1112	222	54	wisti	wisti	NOUN
sc-1112	222	55	is	be	AUX
sc-1112	222	56	the	the	DET
sc-1112	222	57	weight	weight	NOUN
sc-1112	222	58	function	function	NOUN
sc-1112	222	59	and	and	CCONJ
sc-1112	222	60	and	and	CCONJ
sc-1112	222	61	sti	sti	PROPN
sc-1112	222	62	is	be	AUX
sc-1112	222	63	the	the	DET
sc-1112	222	64	sampled	sample	VERB
sc-1112	222	65	point	point	NOUN
sc-1112	222	66	value	value	NOUN
sc-1112	222	67	.	.	PUNCT
sc-1112	223	1	in	in	ADP
sc-1112	223	2	case	case	NOUN
sc-1112	223	3	of	of	ADP
sc-1112	223	4	idw	idw	PROPN
sc-1112	223	5	,	,	PUNCT
sc-1112	223	6	weight	weight	NOUN
sc-1112	223	7	is	be	AUX
sc-1112	223	8	the	the	DET
sc-1112	223	9	function	function	NOUN
sc-1112	223	10	of	of	ADP
sc-1112	223	11	distance	distance	NOUN
sc-1112	223	12	and	and	CCONJ
sc-1112	223	13	can	can	AUX
sc-1112	223	14	be	be	AUX
sc-1112	223	15	estimated	estimate	VERB
sc-1112	223	16	as	as	SCONJ
sc-1112	223	17	follows	follow	VERB
sc-1112	223	18	:	:	PUNCT
sc-1112	223	19	wi	wi	PROPN
sc-1112	223	20	=	=	SYM
sc-1112	223	21	1	1	NUM
sc-1112	223	22	d(st0	d(st0	PROPN
sc-1112	223	23	,	,	PUNCT
sc-1112	223	24	sti	sti	PROPN
sc-1112	223	25	)	)	PUNCT
sc-1112	223	26	p	p	X
sc-1112	223	27	(	(	PUNCT
sc-1112	223	28	22	22	NUM
sc-1112	223	29	)	)	PUNCT
sc-1112	223	30	where	where	SCONJ
sc-1112	223	31	the	the	DET
sc-1112	223	32	distance	distance	NOUN
sc-1112	223	33	between	between	ADP
sc-1112	223	34	measured	measured	ADJ
sc-1112	223	35	point	point	NOUN
sc-1112	223	36	sti	sti	PROPN
sc-1112	223	37	and	and	CCONJ
sc-1112	223	38	unmeasured	unmeasured	ADJ
sc-1112	223	39	point	point	NOUN
sc-1112	223	40	st0	st0	NOUN
sc-1112	223	41	denoted	denote	VERB
sc-1112	223	42	as	as	ADP
sc-1112	223	43	d	d	PROPN
sc-1112	223	44	and	and	CCONJ
sc-1112	223	45	the	the	DET
sc-1112	223	46	power	power	NOUN
sc-1112	223	47	factor	factor	NOUN
sc-1112	223	48	as	as	ADV
sc-1112	223	49	p.	p.	PROPN
sc-1112	223	50	as	as	ADP
sc-1112	223	51	closer	close	ADJ
sc-1112	223	52	points	point	NOUN
sc-1112	223	53	often	often	ADV
sc-1112	223	54	have	have	VERB
sc-1112	223	55	similar	similar	ADJ
sc-1112	223	56	characteristics	characteristic	NOUN
sc-1112	223	57	in	in	ADP
sc-1112	223	58	space	space	NOUN
sc-1112	223	59	as	as	ADP
sc-1112	223	60	per	per	ADP
sc-1112	223	61	the	the	DET
sc-1112	223	62	first	first	ADJ
sc-1112	223	63	law	law	NOUN
sc-1112	223	64	of	of	ADP
sc-1112	223	65	geography	geography	NOUN
sc-1112	223	66	,	,	PUNCT
sc-1112	223	67	those	those	DET
sc-1112	223	68	neighborhood	neighborhood	NOUN
sc-1112	223	69	points	point	NOUN
sc-1112	223	70	have	have	VERB
sc-1112	223	71	more	more	ADJ
sc-1112	223	72	influence	influence	NOUN
sc-1112	223	73	on	on	ADP
sc-1112	223	74	interpolated	interpolate	VERB
sc-1112	223	75	point	point	NOUN
sc-1112	223	76	st0	st0	NOUN
sc-1112	223	77	values	value	NOUN
sc-1112	223	78	.	.	PUNCT
sc-1112	224	1	the	the	DET
sc-1112	224	2	power	power	NOUN
sc-1112	224	3	value	value	NOUN
sc-1112	224	4	signifies	signify	VERB
sc-1112	224	5	the	the	DET
sc-1112	224	6	impact	impact	NOUN
sc-1112	224	7	of	of	ADP
sc-1112	224	8	neighborhood	neighborhood	NOUN
sc-1112	224	9	points	point	NOUN
sc-1112	224	10	on	on	ADP
sc-1112	224	11	the	the	DET
sc-1112	224	12	interpolated	interpolate	VERB
sc-1112	224	13	point	point	NOUN
sc-1112	224	14	.	.	PUNCT
sc-1112	225	1	the	the	PRON
sc-1112	225	2	higher	high	ADJ
sc-1112	225	3	the	the	DET
sc-1112	225	4	power	power	NOUN
sc-1112	225	5	values	value	NOUN
sc-1112	225	6	,	,	PUNCT
sc-1112	225	7	the	the	DET
sc-1112	225	8	more	more	ADJ
sc-1112	225	9	is	be	AUX
sc-1112	225	10	the	the	DET
sc-1112	225	11	influence	influence	NOUN
sc-1112	225	12	of	of	ADP
sc-1112	225	13	neighborhood	neighborhood	NOUN
sc-1112	225	14	points	point	NOUN
sc-1112	225	15	on	on	ADP
sc-1112	225	16	unsampled	unsampled	ADJ
sc-1112	225	17	ones	one	NOUN
sc-1112	225	18	.	.	PUNCT
sc-1112	226	1	the	the	DET
sc-1112	226	2	pseudocode	pseudocode	NOUN
sc-1112	226	3	of	of	ADP
sc-1112	226	4	the	the	DET
sc-1112	226	5	cnn	cnn	PROPN
sc-1112	226	6	-	-	PUNCT
sc-1112	226	7	bilstm	bilstm	NOUN
sc-1112	226	8	-	-	PUNCT
sc-1112	226	9	idw	idw	PROPN
sc-1112	226	10	algorithm	algorithm	PROPN
sc-1112	226	11	is	be	AUX
sc-1112	226	12	presented	present	VERB
sc-1112	226	13	in	in	ADP
sc-1112	226	14	algorithm	algorithm	NOUN
sc-1112	226	15	1	1	NUM
sc-1112	226	16	.	.	PUNCT
sc-1112	227	1	the	the	DET
sc-1112	227	2	first	first	ADJ
sc-1112	227	3	part	part	NOUN
sc-1112	227	4	of	of	ADP
sc-1112	227	5	the	the	DET
sc-1112	227	6	algorithm	algorithm	NOUN
sc-1112	227	7	is	be	AUX
sc-1112	227	8	meant	mean	VERB
sc-1112	227	9	to	to	PART
sc-1112	227	10	perform	perform	VERB
sc-1112	227	11	time	time	NOUN
sc-1112	227	12	series	series	PROPN
sc-1112	227	13	modeling	modeling	NOUN
sc-1112	227	14	followed	follow	VERB
sc-1112	227	15	by	by	ADP
sc-1112	227	16	linear	linear	ADJ
sc-1112	227	17	interpolation	interpolation	NOUN
sc-1112	227	18	to	to	PART
sc-1112	227	19	handle	handle	VERB
sc-1112	227	20	missing	miss	VERB
sc-1112	227	21	values	value	NOUN
sc-1112	227	22	of	of	ADP
sc-1112	227	23	the	the	DET
sc-1112	227	24	dataset	dataset	NOUN
sc-1112	227	25	.	.	PUNCT
sc-1112	228	1	the	the	DET
sc-1112	228	2	second	second	ADJ
sc-1112	228	3	part	part	NOUN
sc-1112	228	4	of	of	ADP
sc-1112	228	5	the	the	DET
sc-1112	228	6	algorithm	algorithm	NOUN
sc-1112	228	7	conducts	conduct	VERB
sc-1112	228	8	spatial	spatial	ADJ
sc-1112	228	9	modeling	modeling	NOUN
sc-1112	228	10	using	use	VERB
sc-1112	228	11	idw	idw	PROPN
sc-1112	228	12	interpolation	interpolation	NOUN
sc-1112	228	13	.	.	PUNCT
sc-1112	229	1	algorithm	algorithm	NOUN
sc-1112	229	2	1	1	NUM
sc-1112	229	3	spatio	spatio	PROPN
sc-1112	229	4	-	-	PUNCT
sc-1112	229	5	temporal	temporal	ADJ
sc-1112	229	6	prediction	prediction	NOUN
sc-1112	229	7	algorithm	algorithm	NOUN
sc-1112	229	8	for	for	ADP
sc-1112	229	9	pm10	pm10	PROPN
sc-1112	229	10	input	input	NOUN
sc-1112	229	11	:	:	PUNCT
sc-1112	229	12	air	air	NOUN
sc-1112	229	13	quality	quality	PROPN
sc-1112	229	14	pollutant	pollutant	ADJ
sc-1112	229	15	time	time	NOUN
sc-1112	229	16	series	series	PROPN
sc-1112	229	17	dataset	dataset	VERB
sc-1112	229	18	pm	pm	NOUN
sc-1112	229	19	=	=	SYM
sc-1112	230	1	[	[	X
sc-1112	230	2	pm1	pm1	PROPN
sc-1112	230	3	,	,	PUNCT
sc-1112	230	4	pm2	pm2	PROPN
sc-1112	230	5	.....	.....	PROPN
sc-1112	230	6	pmt	pmt	PROPN
sc-1112	230	7	]	]	PUNCT
sc-1112	230	8	,	,	PUNCT
sc-1112	230	9	latitude	latitude	NOUN
sc-1112	230	10	and	and	CCONJ
sc-1112	230	11	longitude	longitude	NOUN
sc-1112	230	12	(	(	PUNCT
sc-1112	230	13	x	x	X
sc-1112	230	14	,	,	PUNCT
sc-1112	230	15	y	y	PROPN
sc-1112	230	16	)	)	PUNCT
sc-1112	230	17	,	,	PUNCT
sc-1112	230	18	data	datum	NOUN
sc-1112	230	19	sampling	sample	VERB
sc-1112	230	20	time	time	NOUN
sc-1112	230	21	t	t	PROPN
sc-1112	230	22	output	output	NOUN
sc-1112	230	23	:	:	PUNCT
sc-1112	230	24	pollutant	pollutant	ADJ
sc-1112	230	25	prediction	prediction	NOUN
sc-1112	230	26	map	map	NOUN
sc-1112	230	27	initialization	initialization	NOUN
sc-1112	230	28	:	:	PUNCT
sc-1112	230	29	training	training	NOUN
sc-1112	230	30	process	process	NOUN
sc-1112	230	31	of	of	ADP
sc-1112	230	32	cnn	cnn	PROPN
sc-1112	230	33	-	-	PUNCT
sc-1112	230	34	bilstm	bilstm	NOUN
sc-1112	230	35	model	model	NOUN
sc-1112	230	36	with	with	ADP
sc-1112	230	37	parameters	parameter	NOUN
sc-1112	230	38	φ	φ	X
sc-1112	230	39	.	.	PROPN
sc-1112	230	40	1	1	NUM
sc-1112	230	41	:	:	PUNCT
sc-1112	230	42	for	for	ADP
sc-1112	230	43	1	1	NUM
sc-1112	230	44	≤	≤	NUM
sc-1112	230	45	x	x	PUNCT
sc-1112	230	46	,	,	PUNCT
sc-1112	230	47	y	y	PROPN
sc-1112	230	48	≤	≤	PROPN
sc-1112	230	49	n	n	CCONJ
sc-1112	230	50	do	do	VERB
sc-1112	230	51	2	2	NUM
sc-1112	230	52	:	:	PUNCT
sc-1112	230	53	for	for	ADP
sc-1112	230	54	t	t	NOUN
sc-1112	230	55	=	=	SYM
sc-1112	230	56	1	1	NUM
sc-1112	230	57	to	to	ADP
sc-1112	230	58	t	t	PROPN
sc-1112	230	59	do	do	VERB
sc-1112	230	60	3	3	NUM
sc-1112	230	61	:	:	PUNCT
sc-1112	230	62	if	if	SCONJ
sc-1112	230	63	pm	pm	NOUN
sc-1112	230	64	has	have	AUX
sc-1112	230	65	missing	miss	VERB
sc-1112	230	66	value	value	NOUN
sc-1112	230	67	for	for	ADP
sc-1112	230	68	duration	duration	NOUN
sc-1112	230	69	t	t	PROPN
sc-1112	230	70	then	then	ADV
sc-1112	230	71	4	4	NUM
sc-1112	230	72	:	:	PUNCT
sc-1112	230	73	conduct	conduct	VERB
sc-1112	230	74	linear	linear	ADJ
sc-1112	230	75	interpolation	interpolation	NOUN
sc-1112	230	76	5	5	NUM
sc-1112	230	77	:	:	PUNCT
sc-1112	230	78	else	else	ADV
sc-1112	230	79	6	6	NUM
sc-1112	230	80	:	:	PUNCT
sc-1112	230	81	pmt+d	pmt+d	NUM
sc-1112	230	82	←	←	PROPN
sc-1112	230	83	(	(	PUNCT
sc-1112	230	84	x	x	NOUN
sc-1112	230	85	,	,	PUNCT
sc-1112	230	86	y	y	NOUN
sc-1112	230	87	)	)	PUNCT
sc-1112	230	88	prediction	prediction	NOUN
sc-1112	230	89	of	of	ADP
sc-1112	230	90	pm10	pm10	PROPN
sc-1112	230	91	level	level	NOUN
sc-1112	230	92	for	for	ADP
sc-1112	230	93	n	n	PRON
sc-1112	230	94	number	number	NOUN
sc-1112	230	95	of	of	ADP
sc-1112	230	96	monitoring	monitor	VERB
sc-1112	230	97	sites	site	NOUN
sc-1112	230	98	by	by	ADP
sc-1112	230	99	cnnbilstm	cnnbilstm	PROPN
sc-1112	230	100	model	model	PROPN
sc-1112	230	101	.	.	PUNCT
sc-1112	231	1	7	7	NUM
sc-1112	231	2	:	:	PUNCT
sc-1112	231	3	return	return	VERB
sc-1112	231	4	pmt+d	pmt+d	PROPN
sc-1112	231	5	8	8	NUM
sc-1112	231	6	:	:	PUNCT
sc-1112	231	7	end	end	VERB
sc-1112	231	8	if	if	SCONJ
sc-1112	231	9	9	9	NUM
sc-1112	231	10	:	:	PUNCT
sc-1112	231	11	end	end	VERB
sc-1112	231	12	for	for	ADP
sc-1112	231	13	10	10	NUM
sc-1112	231	14	:	:	PUNCT
sc-1112	231	15	end	end	VERB
sc-1112	231	16	for	for	ADP
sc-1112	231	17	11	11	NUM
sc-1112	231	18	:	:	PUNCT
sc-1112	231	19	generate	generate	VERB
sc-1112	231	20	spatio	spatio	PROPN
sc-1112	231	21	-	-	PUNCT
sc-1112	231	22	temporal	temporal	ADJ
sc-1112	231	23	prediction	prediction	NOUN
sc-1112	231	24	map	map	NOUN
sc-1112	231	25	of	of	ADP
sc-1112	231	26	pm10	pm10	PROPN
sc-1112	231	27	for	for	ADP
sc-1112	231	28	study	study	NOUN
sc-1112	231	29	area	area	NOUN
sc-1112	231	30	:	:	PUNCT
sc-1112	231	31	12	12	NUM
sc-1112	231	32	:	:	PUNCT
sc-1112	231	33	if	if	SCONJ
sc-1112	231	34	(	(	PUNCT
sc-1112	231	35	m	m	NOUN
sc-1112	231	36	,	,	PUNCT
sc-1112	231	37	n	n	CCONJ
sc-1112	231	38	)	)	PUNCT
sc-1112	231	39	are	be	AUX
sc-1112	231	40	the	the	DET
sc-1112	231	41	latitude	latitude	NOUN
sc-1112	231	42	and	and	CCONJ
sc-1112	231	43	longitude	longitude	NOUN
sc-1112	231	44	of	of	ADP
sc-1112	231	45	nonmonitoring	nonmonitore	VERB
sc-1112	231	46	sites	site	NOUN
sc-1112	231	47	then	then	ADV
sc-1112	231	48	13	13	NUM
sc-1112	231	49	:	:	PUNCT
sc-1112	231	50	return	return	VERB
sc-1112	231	51	p̂mt+d	p̂mt+d	PROPN
sc-1112	231	52	m	m	PRON
sc-1112	231	53	,	,	PUNCT
sc-1112	231	54	n	n	PRON
sc-1112	231	55	←	←	PROPN
sc-1112	231	56	n∑	n∑	PROPN
sc-1112	231	57	x	x	PROPN
sc-1112	231	58	,	,	PUNCT
sc-1112	231	59	y=1	y=1	PROPN
sc-1112	231	60	w(x	w(x	PROPN
sc-1112	231	61	,	,	PUNCT
sc-1112	231	62	y	y	NOUN
sc-1112	231	63	)	)	PUNCT
sc-1112	231	64	∗	∗	NOUN
sc-1112	231	65	pmt+d	pmt+d	PROPN
sc-1112	231	66	x	x	NOUN
sc-1112	231	67	,	,	PUNCT
sc-1112	231	68	y	y	PROPN
sc-1112	231	69	14	14	NUM
sc-1112	231	70	:	:	PUNCT
sc-1112	231	71	else	else	ADV
sc-1112	231	72	15	15	NUM
sc-1112	231	73	:	:	PUNCT
sc-1112	231	74	return	return	VERB
sc-1112	231	75	pmt+d	pmt+d	PROPN
sc-1112	231	76	x	x	NOUN
sc-1112	231	77	,	,	PUNCT
sc-1112	231	78	y	y	PROPN
sc-1112	231	79	16	16	NUM
sc-1112	231	80	:	:	PUNCT
sc-1112	231	81	end	end	VERB
sc-1112	231	82	if	if	SCONJ
sc-1112	231	83	6	6	NUM
sc-1112	231	84	.	.	NOUN
sc-1112	231	85	results	result	NOUN
sc-1112	231	86	and	and	CCONJ
sc-1112	231	87	discussions	discussion	NOUN
sc-1112	231	88	to	to	PART
sc-1112	231	89	evaluate	evaluate	VERB
sc-1112	231	90	the	the	DET
sc-1112	231	91	performance	performance	NOUN
sc-1112	231	92	of	of	ADP
sc-1112	231	93	the	the	DET
sc-1112	231	94	cnn	cnn	PROPN
sc-1112	231	95	-	-	PUNCT
sc-1112	231	96	bilstm	bilstm	NOUN
sc-1112	231	97	-	-	PUNCT
sc-1112	231	98	idw	idw	PROPN
sc-1112	231	99	model	model	NOUN
sc-1112	231	100	,	,	PUNCT
sc-1112	231	101	we	we	PRON
sc-1112	231	102	compared	compare	VERB
sc-1112	231	103	the	the	DET
sc-1112	231	104	performance	performance	NOUN
sc-1112	231	105	of	of	ADP
sc-1112	231	106	this	this	DET
sc-1112	231	107	model	model	NOUN
sc-1112	231	108	with	with	ADP
sc-1112	231	109	ordinary	ordinary	ADJ
sc-1112	231	110	idw	idw	PROPN
sc-1112	231	111	(	(	PUNCT
sc-1112	231	112	ya’acob	ya’acob	X
sc-1112	231	113	et	et	PROPN
sc-1112	231	114	al	al	PROPN
sc-1112	231	115	.	.	PROPN
sc-1112	231	116	2016	2016	NUM
sc-1112	231	117	)	)	PUNCT
sc-1112	231	118	,	,	PUNCT
sc-1112	231	119	exponential	exponential	NOUN
sc-1112	231	120	kriging	kriging	NOUN
sc-1112	231	121	(	(	PUNCT
sc-1112	231	122	ek	ek	NOUN
sc-1112	231	123	)	)	PUNCT
sc-1112	231	124	(	(	PUNCT
sc-1112	231	125	son	son	NOUN
sc-1112	231	126	,	,	PUNCT
sc-1112	231	127	bell	bell	NOUN
sc-1112	231	128	,	,	PUNCT
sc-1112	231	129	and	and	CCONJ
sc-1112	231	130	j.-t	j.-t	PROPN
sc-1112	231	131	.	.	PUNCT
sc-1112	232	1	lee	lee	PROPN
sc-1112	232	2	2010	2010	NUM
sc-1112	232	3	)	)	PUNCT
sc-1112	232	4	,	,	PUNCT
sc-1112	232	5	gaussian	gaussian	NOUN
sc-1112	232	6	kriging	kriging	NOUN
sc-1112	232	7	(	(	PUNCT
sc-1112	232	8	gk	gk	NOUN
sc-1112	232	9	)	)	PUNCT
sc-1112	232	10	,	,	PUNCT
sc-1112	232	11	spherical	spherical	ADJ
sc-1112	232	12	kriging	kriging	NOUN
sc-1112	232	13	(	(	PUNCT
sc-1112	232	14	sk	sk	PROPN
sc-1112	232	15	)	)	PUNCT
sc-1112	232	16	(	(	PUNCT
sc-1112	232	17	gong	gong	PROPN
sc-1112	232	18	,	,	PUNCT
sc-1112	232	19	mattevada	mattevada	PROPN
sc-1112	232	20	,	,	PUNCT
sc-1112	232	21	and	and	CCONJ
sc-1112	232	22	o’bryant	o’bryant	NOUN
sc-1112	232	23	2014	2014	NUM
sc-1112	232	24	)	)	PUNCT
sc-1112	232	25	,	,	PUNCT
sc-1112	232	26	universal	universal	ADJ
sc-1112	232	27	kriging	krige	VERB
sc-1112	232	28	(	(	PUNCT
sc-1112	232	29	uk	uk	PROPN
sc-1112	232	30	)	)	PUNCT
sc-1112	232	31	(	(	PUNCT
sc-1112	232	32	son	son	NOUN
sc-1112	232	33	,	,	PUNCT
sc-1112	232	34	bell	bell	NOUN
sc-1112	232	35	,	,	PUNCT
sc-1112	232	36	and	and	CCONJ
sc-1112	232	37	j.-t	j.-t	PROPN
sc-1112	232	38	.	.	PUNCT
sc-1112	233	1	lee	lee	PROPN
sc-1112	233	2	2010	2010	NUM
sc-1112	233	3	)	)	PUNCT
sc-1112	233	4	,	,	PUNCT
sc-1112	233	5	radial	radial	ADJ
sc-1112	233	6	basis	basis	NOUN
sc-1112	233	7	function	function	NOUN
sc-1112	233	8	(	(	PUNCT
sc-1112	233	9	rbf	rbf	PROPN
sc-1112	233	10	)	)	PUNCT
sc-1112	233	11	(	(	PUNCT
sc-1112	233	12	bhunia	bhunia	NOUN
sc-1112	233	13	,	,	PUNCT
sc-1112	233	14	shit	shit	NOUN
sc-1112	233	15	,	,	PUNCT
sc-1112	233	16	and	and	CCONJ
sc-1112	233	17	maiti	maiti	NOUN
sc-1112	233	18	2018	2018	NUM
sc-1112	233	19	)	)	PUNCT
sc-1112	233	20	and	and	CCONJ
sc-1112	233	21	empirical	empirical	ADJ
sc-1112	233	22	bayesian	bayesian	NOUN
sc-1112	233	23	kriging	krige	VERB
sc-1112	233	24	(	(	PUNCT
sc-1112	233	25	ebk	ebk	PROPN
sc-1112	233	26	)	)	PUNCT
sc-1112	233	27	(	(	PUNCT
sc-1112	233	28	krivoruchko	krivoruchko	NOUN
sc-1112	233	29	and	and	CCONJ
sc-1112	233	30	gribov	gribov	PROPN
sc-1112	233	31	2019	2019	NUM
sc-1112	233	32	)	)	PUNCT
sc-1112	233	33	models	model	NOUN
sc-1112	233	34	as	as	SCONJ
sc-1112	233	35	shown	show	VERB
sc-1112	233	36	in	in	ADP
sc-1112	233	37	table	table	NOUN
sc-1112	233	38	1	1	NUM
sc-1112	233	39	.	.	PUNCT
sc-1112	233	40	root	root	NOUN
sc-1112	233	41	mean	mean	VERB
sc-1112	233	42	square	square	ADJ
sc-1112	233	43	error	error	NOUN
sc-1112	233	44	(	(	PUNCT
sc-1112	233	45	rmse	rmse	NOUN
sc-1112	233	46	)	)	PUNCT
sc-1112	233	47	and	and	CCONJ
sc-1112	233	48	mean	mean	VERB
sc-1112	233	49	error	error	NOUN
sc-1112	233	50	(	(	PUNCT
sc-1112	233	51	me	i	PRON
sc-1112	233	52	)	)	PUNCT
sc-1112	233	53	indicators	indicator	NOUN
sc-1112	233	54	are	be	AUX
sc-1112	233	55	utilized	utilize	VERB
sc-1112	233	56	to	to	PART
sc-1112	233	57	evaluate	evaluate	VERB
sc-1112	233	58	the	the	DET
sc-1112	233	59	performance	performance	NOUN
sc-1112	233	60	of	of	ADP
sc-1112	233	61	the	the	DET
sc-1112	233	62	cnn	cnn	PROPN
sc-1112	233	63	-	-	PUNCT
sc-1112	233	64	bilstm	bilstm	NOUN
sc-1112	233	65	-	-	PUNCT
sc-1112	233	66	idw	idw	PROPN
sc-1112	233	67	model	model	NOUN
sc-1112	233	68	.	.	PUNCT
sc-1112	234	1	rmse	rmse	PROPN
sc-1112	234	2	and	and	CCONJ
sc-1112	234	3	me	i	PRON
sc-1112	234	4	can	can	AUX
sc-1112	234	5	be	be	AUX
sc-1112	234	6	calculated	calculate	VERB
sc-1112	234	7	using	use	VERB
sc-1112	234	8	equation	equation	NOUN
sc-1112	234	9	23	23	NUM
sc-1112	234	10	-	-	SYM
sc-1112	234	11	24	24	NUM
sc-1112	234	12	,	,	PUNCT
sc-1112	234	13	rmse	rmse	NOUN
sc-1112	234	14	=	=	SYM
sc-1112	234	15	√√√	√√√	PROPN
sc-1112	234	16	1	1	NUM
sc-1112	234	17	n	n	NUM
sc-1112	234	18	n∑	n∑	NOUN
sc-1112	234	19	i=1	i=1	PROPN
sc-1112	234	20	[	[	PUNCT
sc-1112	234	21	ẑ(xi	ẑ(xi	SYM
sc-1112	234	22	)	)	PUNCT
sc-1112	234	23	−	−	PROPN
sc-1112	234	24	z(xi	z(xi	NUM
sc-1112	234	25	)	)	PUNCT
sc-1112	234	26	]	]	PUNCT
sc-1112	234	27	2	2	NUM
sc-1112	234	28	(	(	PUNCT
sc-1112	234	29	23	23	NUM
sc-1112	234	30	)	)	PUNCT
sc-1112	234	31	me	i	PRON
sc-1112	234	32	=	=	SYM
sc-1112	234	33	1	1	NUM
sc-1112	234	34	n	n	NUM
sc-1112	234	35	n∑	n∑	NOUN
sc-1112	234	36	i=1	i=1	X
sc-1112	235	1	[	[	PUNCT
sc-1112	235	2	ẑ(xi	ẑ(xi	SYM
sc-1112	235	3	)	)	PUNCT
sc-1112	235	4	−	−	PROPN
sc-1112	235	5	z(xi	z(xi	PROPN
sc-1112	235	6	)	)	PUNCT
sc-1112	235	7	]	]	PUNCT
sc-1112	236	1	(	(	PUNCT
sc-1112	236	2	24	24	NUM
sc-1112	236	3	)	)	PUNCT
sc-1112	236	4	where	where	SCONJ
sc-1112	236	5	,	,	PUNCT
sc-1112	236	6	ẑ(xi	ẑ(xi	PRON
sc-1112	236	7	)	)	PUNCT
sc-1112	236	8	is	be	AUX
sc-1112	236	9	the	the	DET
sc-1112	236	10	predicted	predict	VERB
sc-1112	236	11	value	value	NOUN
sc-1112	236	12	at	at	ADP
sc-1112	236	13	location	location	NOUN
sc-1112	236	14	(	(	PUNCT
sc-1112	236	15	xi	xi	PROPN
sc-1112	236	16	)	)	PUNCT
sc-1112	236	17	,	,	PUNCT
sc-1112	236	18	z(xi	z(xi	NUM
sc-1112	236	19	)	)	PUNCT
sc-1112	236	20	is	be	AUX
sc-1112	236	21	the	the	DET
sc-1112	236	22	observed	observe	VERB
sc-1112	236	23	value	value	NOUN
sc-1112	236	24	at	at	ADP
sc-1112	236	25	(	(	PUNCT
sc-1112	236	26	xi	xi	ADJ
sc-1112	236	27	)	)	PUNCT
sc-1112	236	28	and	and	CCONJ
sc-1112	236	29	n	n	PRON
sc-1112	236	30	are	be	AUX
sc-1112	236	31	the	the	DET
sc-1112	236	32	total	total	ADJ
sc-1112	236	33	number	number	NOUN
sc-1112	236	34	of	of	ADP
sc-1112	236	35	monitoring	monitoring	NOUN
sc-1112	236	36	stations	station	NOUN
sc-1112	236	37	.	.	PUNCT
sc-1112	237	1	rmse	rmse	ADJ
sc-1112	237	2	value	value	NOUN
sc-1112	237	3	of	of	ADP
sc-1112	237	4	idw	idw	PROPN
sc-1112	237	5	,	,	PUNCT
sc-1112	237	6	ek	ek	PROPN
sc-1112	237	7	,	,	PUNCT
sc-1112	237	8	rbf	rbf	PROPN
sc-1112	237	9	,	,	PUNCT
sc-1112	237	10	gk	gk	PROPN
sc-1112	237	11	,	,	PUNCT
sc-1112	237	12	ebk	ebk	PROPN
sc-1112	237	13	,	,	PUNCT
sc-1112	237	14	sk	sk	PROPN
sc-1112	237	15	,	,	PUNCT
sc-1112	237	16	uk	uk	PROPN
sc-1112	237	17	,	,	PUNCT
sc-1112	237	18	cnn	cnn	PROPN
sc-1112	237	19	-	-	PUNCT
sc-1112	237	20	bilstm	bilstm	NOUN
sc-1112	237	21	-	-	PUNCT
sc-1112	237	22	idw	idw	PROPN
sc-1112	237	23	model	model	NOUN
sc-1112	237	24	reduced	reduce	VERB
sc-1112	237	25	(	(	PUNCT
sc-1112	237	26	25.94	25.94	NUM
sc-1112	237	27	)	)	PUNCT
sc-1112	237	28	,	,	PUNCT
sc-1112	237	29	(	(	PUNCT
sc-1112	237	30	24.64	24.64	NUM
sc-1112	237	31	)	)	PUNCT
sc-1112	237	32	,	,	PUNCT
sc-1112	237	33	(	(	PUNCT
sc-1112	237	34	24.62	24.62	NUM
sc-1112	237	35	)	)	PUNCT
sc-1112	237	36	,	,	PUNCT
sc-1112	237	37	(	(	PUNCT
sc-1112	237	38	24.48	24.48	NUM
sc-1112	237	39	)	)	PUNCT
sc-1112	237	40	,	,	PUNCT
sc-1112	237	41	(	(	PUNCT
sc-1112	237	42	22.44	22.44	NUM
sc-1112	237	43	)	)	PUNCT
sc-1112	237	44	,	,	PUNCT
sc-1112	237	45	(	(	PUNCT
sc-1112	237	46	24.38	24.38	NUM
sc-1112	237	47	)	)	PUNCT
sc-1112	237	48	,	,	PUNCT
sc-1112	237	49	(	(	PUNCT
sc-1112	237	50	24.37	24.37	NUM
sc-1112	237	51	)	)	PUNCT
sc-1112	237	52	,	,	PUNCT
sc-1112	237	53	(	(	PUNCT
sc-1112	237	54	21.71	21.71	NUM
sc-1112	237	55	)	)	PUNCT
sc-1112	237	56	respectively	respectively	ADV
sc-1112	237	57	.	.	PUNCT
sc-1112	238	1	table	table	NOUN
sc-1112	238	2	1	1	NUM
sc-1112	238	3	shows	show	VERB
sc-1112	238	4	that	that	SCONJ
sc-1112	238	5	the	the	DET
sc-1112	238	6	proposed	propose	VERB
sc-1112	238	7	spatio	spatio	PROPN
sc-1112	238	8	-	-	PUNCT
sc-1112	238	9	temporal	temporal	ADJ
sc-1112	238	10	prediction	prediction	NOUN
sc-1112	238	11	model	model	NOUN
sc-1112	238	12	has	have	VERB
sc-1112	238	13	better	well	ADJ
sc-1112	238	14	prediction	prediction	NOUN
sc-1112	238	15	performance	performance	NOUN
sc-1112	238	16	than	than	ADP
sc-1112	238	17	the	the	DET
sc-1112	238	18	other	other	ADJ
sc-1112	238	19	spatial	spatial	ADJ
sc-1112	238	20	prediction	prediction	NOUN
sc-1112	238	21	models	model	NOUN
sc-1112	238	22	.	.	PUNCT
sc-1112	239	1	table	table	NOUN
sc-1112	239	2	1	1	NUM
sc-1112	239	3	.	.	PUNCT
sc-1112	239	4	model	model	PROPN
sc-1112	239	5	cross	cross	PROPN
sc-1112	239	6	validation	validation	PROPN
sc-1112	239	7	method	method	NOUN
sc-1112	239	8	type	type	NOUN
sc-1112	239	9	model	model	NOUN
sc-1112	239	10	rmse	rmse	NOUN
sc-1112	239	11	me	i	PRON
sc-1112	239	12	deterministic	deterministic	ADJ
sc-1112	239	13	idw	idw	PROPN
sc-1112	239	14	25.94	25.94	NUM
sc-1112	239	15	4.77	4.77	NUM
sc-1112	239	16	geostatistics	geostatistic	NOUN
sc-1112	239	17	ek	ek	VERB
sc-1112	239	18	24.64	24.64	NUM
sc-1112	239	19	3.73	3.73	NUM
sc-1112	239	20	geostatistics	geostatistic	NOUN
sc-1112	239	21	gk	gk	ADP
sc-1112	239	22	24.48	24.48	NUM
sc-1112	239	23	3.54	3.54	NUM
sc-1112	239	24	geostatistics	geostatistic	NOUN
sc-1112	239	25	sk	sk	VERB
sc-1112	239	26	24.38	24.38	NUM
sc-1112	239	27	3.52	3.52	NUM
sc-1112	239	28	geostatistics	geostatistic	NOUN
sc-1112	239	29	uk	uk	PROPN
sc-1112	239	30	24.37	24.37	NUM
sc-1112	239	31	3.52	3.52	NUM
sc-1112	239	32	geostatistics	geostatistic	NOUN
sc-1112	239	33	ebk	ebk	PROPN
sc-1112	239	34	22.44	22.44	NUM
sc-1112	239	35	3.53	3.53	NUM
sc-1112	239	36	machine	machine	NOUN
sc-1112	239	37	learning	learn	VERB
sc-1112	239	38	rbf	rbf	PROPN
sc-1112	239	39	24.62	24.62	NUM
sc-1112	239	40	3.80	3.80	NUM
sc-1112	239	41	deep	deep	ADJ
sc-1112	239	42	learning	learn	VERB
sc-1112	239	43	cnn	cnn	PROPN
sc-1112	239	44	-	-	PUNCT
sc-1112	239	45	bilstm	bilstm	NOUN
sc-1112	239	46	-	-	PUNCT
sc-1112	239	47	idw	idw	PROPN
sc-1112	239	48	21.71	21.71	NUM
sc-1112	239	49	3.50	3.50	NUM
sc-1112	239	50	prediction	prediction	NOUN
sc-1112	239	51	maps	map	NOUN
sc-1112	239	52	generated	generate	VERB
sc-1112	239	53	by	by	ADP
sc-1112	239	54	cnn	cnn	PROPN
sc-1112	239	55	-	-	PUNCT
sc-1112	239	56	bilstm	bilstm	NOUN
sc-1112	239	57	-	-	PUNCT
sc-1112	239	58	idw	idw	PROPN
sc-1112	239	59	for	for	ADP
sc-1112	239	60	the	the	DET
sc-1112	239	61	four	four	NUM
sc-1112	239	62	weeks	week	NOUN
sc-1112	239	63	of	of	ADP
sc-1112	239	64	december	december	PROPN
sc-1112	239	65	2015	2015	NUM
sc-1112	239	66	are	be	AUX
sc-1112	239	67	represented	represent	VERB
sc-1112	239	68	in	in	ADP
sc-1112	239	69	figure	figure	NOUN
sc-1112	239	70	4	4	NUM
sc-1112	239	71	-	-	SYM
sc-1112	239	72	7	7	NUM
sc-1112	239	73	.	.	PUNCT
sc-1112	240	1	color	color	NOUN
sc-1112	240	2	scale	scale	NOUN
sc-1112	240	3	indicates	indicate	VERB
sc-1112	240	4	the	the	DET
sc-1112	240	5	variation	variation	NOUN
sc-1112	240	6	of	of	ADP
sc-1112	240	7	air	air	NOUN
sc-1112	240	8	pollution	pollution	NOUN
sc-1112	240	9	levels	level	NOUN
sc-1112	240	10	over	over	ADP
sc-1112	240	11	the	the	DET
sc-1112	240	12	study	study	NOUN
sc-1112	240	13	area	area	NOUN
sc-1112	240	14	.	.	PUNCT
sc-1112	241	1	7	7	NUM
sc-1112	241	2	eai	eai	PROPN
sc-1112	241	3	endorsed	endorse	VERB
sc-1112	241	4	transactions	transaction	NOUN
sc-1112	241	5	on	on	ADP
sc-1112	241	6	smart	smart	ADJ
sc-1112	241	7	cities	city	NOUN
sc-1112	241	8	01	01	NUM
sc-1112	241	9	2021	2021	NUM
sc-1112	241	10	04	04	NUM
sc-1112	241	11	2021	2021	NUM
sc-1112	241	12	|	|	ADV
sc-1112	241	13	volume	volume	NOUN
sc-1112	241	14	5	5	NUM
sc-1112	241	15	|	|	ADV
sc-1112	241	16	issue	issue	NOUN
sc-1112	241	17	14	14	NUM
sc-1112	241	18	|	|	NOUN
sc-1112	241	19	e4	e4	PROPN
sc-1112	241	20	k.krishna	k.krishna	VERB
sc-1112	241	21	rani	rani	PROPN
sc-1112	241	22	samal	samal	PROPN
sc-1112	241	23	et	et	PROPN
sc-1112	241	24	al	al	PROPN
sc-1112	241	25	.	.	PROPN
sc-1112	241	26	figure	figure	NOUN
sc-1112	241	27	4	4	NUM
sc-1112	241	28	.	.	PUNCT
sc-1112	241	29	first	first	ADJ
sc-1112	241	30	-	-	PUNCT
sc-1112	241	31	week	week	NOUN
sc-1112	241	32	prediction	prediction	NOUN
sc-1112	241	33	map	map	NOUN
sc-1112	241	34	.	.	PUNCT
sc-1112	242	1	spatial	spatial	ADJ
sc-1112	242	2	distribution	distribution	NOUN
sc-1112	242	3	of	of	ADP
sc-1112	242	4	average	average	ADJ
sc-1112	242	5	pm10	pm10	PROPN
sc-1112	242	6	value	value	NOUN
sc-1112	242	7	in	in	ADP
sc-1112	242	8	the	the	DET
sc-1112	242	9	first	first	ADJ
sc-1112	242	10	week	week	NOUN
sc-1112	242	11	of	of	ADP
sc-1112	242	12	december	december	PROPN
sc-1112	242	13	2015	2015	NUM
sc-1112	242	14	.	.	PUNCT
sc-1112	243	1	figure	figure	NOUN
sc-1112	243	2	5	5	NUM
sc-1112	243	3	.	.	PUNCT
sc-1112	243	4	second	second	ADJ
sc-1112	243	5	-	-	PUNCT
sc-1112	243	6	week	week	NOUN
sc-1112	243	7	prediction	prediction	NOUN
sc-1112	243	8	map	map	NOUN
sc-1112	243	9	.	.	PUNCT
sc-1112	244	1	spatial	spatial	ADJ
sc-1112	244	2	distribution	distribution	NOUN
sc-1112	244	3	of	of	ADP
sc-1112	244	4	average	average	ADJ
sc-1112	244	5	pm10	pm10	PROPN
sc-1112	244	6	value	value	NOUN
sc-1112	244	7	in	in	ADP
sc-1112	244	8	the	the	DET
sc-1112	244	9	second	second	ADJ
sc-1112	244	10	week	week	NOUN
sc-1112	244	11	of	of	ADP
sc-1112	244	12	december	december	PROPN
sc-1112	244	13	2015	2015	NUM
sc-1112	244	14	.	.	PUNCT
sc-1112	245	1	figure	figure	VERB
sc-1112	245	2	6	6	NUM
sc-1112	245	3	.	.	PUNCT
sc-1112	245	4	third	third	ADJ
sc-1112	245	5	-	-	PUNCT
sc-1112	245	6	week	week	NOUN
sc-1112	245	7	prediction	prediction	NOUN
sc-1112	245	8	map	map	NOUN
sc-1112	245	9	.	.	PUNCT
sc-1112	246	1	spatial	spatial	ADJ
sc-1112	246	2	distribution	distribution	NOUN
sc-1112	246	3	of	of	ADP
sc-1112	246	4	average	average	ADJ
sc-1112	246	5	pm10	pm10	PROPN
sc-1112	246	6	value	value	NOUN
sc-1112	246	7	in	in	ADP
sc-1112	246	8	the	the	DET
sc-1112	246	9	third	third	ADJ
sc-1112	246	10	week	week	NOUN
sc-1112	246	11	of	of	ADP
sc-1112	246	12	december	december	PROPN
sc-1112	246	13	2015	2015	NUM
sc-1112	246	14	.	.	PUNCT
sc-1112	247	1	figure	figure	VERB
sc-1112	247	2	7	7	NUM
sc-1112	247	3	.	.	PUNCT
sc-1112	247	4	fourth	fourth	ADJ
sc-1112	247	5	-	-	PUNCT
sc-1112	247	6	week	week	NOUN
sc-1112	247	7	prediction	prediction	NOUN
sc-1112	247	8	map	map	NOUN
sc-1112	247	9	.	.	PUNCT
sc-1112	248	1	spatial	spatial	ADJ
sc-1112	248	2	distribution	distribution	NOUN
sc-1112	248	3	of	of	ADP
sc-1112	248	4	average	average	ADJ
sc-1112	248	5	pm10	pm10	PROPN
sc-1112	248	6	value	value	NOUN
sc-1112	248	7	in	in	ADP
sc-1112	248	8	the	the	DET
sc-1112	248	9	fourth	fourth	ADJ
sc-1112	248	10	week	week	NOUN
sc-1112	248	11	of	of	ADP
sc-1112	248	12	december	december	PROPN
sc-1112	248	13	2015	2015	NUM
sc-1112	248	14	.	.	PUNCT
sc-1112	249	1	8	8	NUM
sc-1112	249	2	eai	eai	NOUN
sc-1112	249	3	endorsed	endorse	VERB
sc-1112	249	4	transactions	transaction	NOUN
sc-1112	249	5	on	on	ADP
sc-1112	249	6	smart	smart	ADJ
sc-1112	249	7	cities	city	NOUN
sc-1112	249	8	01	01	NUM
sc-1112	249	9	2021	2021	NUM
sc-1112	249	10	04	04	NUM
sc-1112	249	11	2021	2021	NUM
sc-1112	249	12	|	|	ADV
sc-1112	249	13	volume	volume	NOUN
sc-1112	249	14	5	5	NUM
sc-1112	249	15	|	|	ADV
sc-1112	249	16	issue	issue	VERB
sc-1112	249	17	14	14	NUM
sc-1112	249	18	|	|	ADV
sc-1112	249	19	e4	e4	PROPN
sc-1112	249	20	spatio	spatio	NOUN
sc-1112	249	21	-	-	PUNCT
sc-1112	249	22	temporal	temporal	ADJ
sc-1112	249	23	prediction	prediction	NOUN
sc-1112	249	24	of	of	ADP
sc-1112	249	25	air	air	NOUN
sc-1112	249	26	quality	quality	NOUN
sc-1112	249	27	using	use	VERB
sc-1112	249	28	distance	distance	NOUN
sc-1112	249	29	based	base	VERB
sc-1112	249	30	interpolation	interpolation	NOUN
sc-1112	249	31	and	and	CCONJ
sc-1112	249	32	deep	deep	ADJ
sc-1112	249	33	learning	learning	NOUN
sc-1112	249	34	techniques	technique	NOUN
sc-1112	249	35	few	few	ADJ
sc-1112	249	36	conclusions	conclusion	NOUN
sc-1112	249	37	are	be	AUX
sc-1112	249	38	derived	derive	VERB
sc-1112	249	39	from	from	ADP
sc-1112	249	40	the	the	DET
sc-1112	249	41	above	above	ADJ
sc-1112	249	42	prediction	prediction	NOUN
sc-1112	249	43	maps	map	NOUN
sc-1112	249	44	of	of	ADP
sc-1112	249	45	odisha	odisha	PROPN
sc-1112	249	46	:	:	PUNCT
sc-1112	249	47	as	as	SCONJ
sc-1112	249	48	presented	present	VERB
sc-1112	249	49	in	in	ADP
sc-1112	249	50	figure	figure	NOUN
sc-1112	249	51	4	4	NUM
sc-1112	249	52	-	-	SYM
sc-1112	249	53	7	7	NUM
sc-1112	249	54	,	,	PUNCT
sc-1112	249	55	the	the	DET
sc-1112	249	56	eastern	eastern	ADJ
sc-1112	249	57	part	part	NOUN
sc-1112	249	58	of	of	ADP
sc-1112	249	59	odisha	odisha	PROPN
sc-1112	249	60	is	be	AUX
sc-1112	249	61	predicted	predict	VERB
sc-1112	249	62	as	as	ADP
sc-1112	249	63	a	a	DET
sc-1112	249	64	highly	highly	ADV
sc-1112	249	65	polluted	polluted	ADJ
sc-1112	249	66	area	area	NOUN
sc-1112	249	67	during	during	ADP
sc-1112	249	68	december	december	PROPN
sc-1112	249	69	2015	2015	NUM
sc-1112	249	70	,	,	PUNCT
sc-1112	249	71	where	where	SCONJ
sc-1112	249	72	pm10	pm10	PROPN
sc-1112	249	73	concentration	concentration	NOUN
sc-1112	249	74	ranges	range	VERB
sc-1112	249	75	from	from	ADP
sc-1112	249	76	67132(µg	67132(µg	NUM
sc-1112	249	77	/	/	SYM
sc-1112	249	78	m3	m3	PROPN
sc-1112	249	79	)	)	PUNCT
sc-1112	249	80	.	.	PUNCT
sc-1112	250	1	that	that	PRON
sc-1112	250	2	might	might	AUX
sc-1112	250	3	be	be	AUX
sc-1112	250	4	due	due	ADJ
sc-1112	250	5	to	to	ADP
sc-1112	250	6	improper	improper	ADJ
sc-1112	250	7	human	human	ADJ
sc-1112	250	8	activity	activity	NOUN
sc-1112	250	9	,	,	PUNCT
sc-1112	250	10	biomass	biomass	NOUN
sc-1112	250	11	burning	burning	NOUN
sc-1112	250	12	,	,	PUNCT
sc-1112	250	13	coal	coal	NOUN
sc-1112	250	14	fields	field	NOUN
sc-1112	250	15	,	,	PUNCT
sc-1112	250	16	and	and	CCONJ
sc-1112	250	17	road	road	NOUN
sc-1112	250	18	transport	transport	NOUN
sc-1112	250	19	emissions	emission	NOUN
sc-1112	250	20	.	.	PUNCT
sc-1112	251	1	it	it	PRON
sc-1112	251	2	can	can	AUX
sc-1112	251	3	be	be	AUX
sc-1112	251	4	seen	see	VERB
sc-1112	251	5	that	that	SCONJ
sc-1112	251	6	the	the	DET
sc-1112	251	7	last	last	ADJ
sc-1112	251	8	week	week	NOUN
sc-1112	251	9	of	of	ADP
sc-1112	251	10	december	december	PROPN
sc-1112	251	11	has	have	VERB
sc-1112	251	12	the	the	DET
sc-1112	251	13	highest	high	ADJ
sc-1112	251	14	concentration	concentration	NOUN
sc-1112	251	15	level	level	NOUN
sc-1112	251	16	than	than	ADP
sc-1112	251	17	the	the	DET
sc-1112	251	18	previous	previous	ADJ
sc-1112	251	19	weeks	week	NOUN
sc-1112	251	20	.	.	PUNCT
sc-1112	252	1	the	the	DET
sc-1112	252	2	results	result	NOUN
sc-1112	252	3	prove	prove	VERB
sc-1112	252	4	that	that	SCONJ
sc-1112	252	5	the	the	DET
sc-1112	252	6	cnnbilstm	cnnbilstm	PROPN
sc-1112	252	7	-	-	PUNCT
sc-1112	252	8	idw	idw	PROPN
sc-1112	252	9	model	model	NOUN
sc-1112	252	10	predicts	predict	VERB
sc-1112	252	11	air	air	NOUN
sc-1112	252	12	pollution	pollution	NOUN
sc-1112	252	13	levels	level	NOUN
sc-1112	252	14	not	not	PART
sc-1112	252	15	only	only	ADV
sc-1112	252	16	for	for	ADP
sc-1112	252	17	the	the	DET
sc-1112	252	18	current	current	ADJ
sc-1112	252	19	time	time	NOUN
sc-1112	252	20	but	but	CCONJ
sc-1112	252	21	also	also	ADV
sc-1112	252	22	for	for	ADP
sc-1112	252	23	the	the	DET
sc-1112	252	24	future	future	NOUN
sc-1112	252	25	and	and	CCONJ
sc-1112	252	26	the	the	DET
sc-1112	252	27	entire	entire	ADJ
sc-1112	252	28	area	area	NOUN
sc-1112	252	29	by	by	ADP
sc-1112	252	30	solving	solve	VERB
sc-1112	252	31	data	datum	NOUN
sc-1112	252	32	imputation	imputation	NOUN
sc-1112	252	33	issues	issue	NOUN
sc-1112	252	34	.	.	PUNCT
sc-1112	253	1	it	it	PRON
sc-1112	253	2	can	can	AUX
sc-1112	253	3	be	be	AUX
sc-1112	253	4	essential	essential	ADJ
sc-1112	253	5	information	information	NOUN
sc-1112	253	6	for	for	ADP
sc-1112	253	7	smart	smart	ADJ
sc-1112	253	8	city	city	NOUN
sc-1112	253	9	users	user	NOUN
sc-1112	253	10	to	to	PART
sc-1112	253	11	take	take	VERB
sc-1112	253	12	necessary	necessary	ADJ
sc-1112	253	13	preventive	preventive	ADJ
sc-1112	253	14	steps	step	NOUN
sc-1112	253	15	.	.	PUNCT
sc-1112	254	1	figure	figure	VERB
sc-1112	254	2	8	8	NUM
sc-1112	254	3	-	-	SYM
sc-1112	254	4	10	10	NUM
sc-1112	254	5	presents	present	VERB
sc-1112	254	6	the	the	DET
sc-1112	254	7	user	user	NOUN
sc-1112	254	8	-	-	PUNCT
sc-1112	254	9	friendly	friendly	ADJ
sc-1112	254	10	designed	design	VERB
sc-1112	254	11	mobile	mobile	ADJ
sc-1112	254	12	application	application	NOUN
sc-1112	254	13	and	and	CCONJ
sc-1112	254	14	web	web	NOUN
sc-1112	254	15	application	application	NOUN
sc-1112	254	16	to	to	PART
sc-1112	254	17	show	show	VERB
sc-1112	254	18	the	the	DET
sc-1112	254	19	spatial	spatial	ADJ
sc-1112	254	20	prediction	prediction	NOUN
sc-1112	254	21	map	map	NOUN
sc-1112	254	22	of	of	ADP
sc-1112	254	23	pm10	pm10	PROPN
sc-1112	254	24	at	at	ADP
sc-1112	254	25	a	a	DET
sc-1112	254	26	different	different	ADJ
sc-1112	254	27	period	period	NOUN
sc-1112	254	28	in	in	ADP
sc-1112	254	29	advance	advance	NOUN
sc-1112	254	30	.	.	PUNCT
sc-1112	255	1	the	the	DET
sc-1112	255	2	spatial	spatial	ADJ
sc-1112	255	3	prediction	prediction	NOUN
sc-1112	255	4	maps	map	NOUN
sc-1112	255	5	are	be	AUX
sc-1112	255	6	generated	generate	VERB
sc-1112	255	7	using	use	VERB
sc-1112	255	8	the	the	DET
sc-1112	255	9	proposed	propose	VERB
sc-1112	255	10	cnn	cnn	PROPN
sc-1112	255	11	-	-	PUNCT
sc-1112	255	12	bilstm	bilstm	NOUN
sc-1112	255	13	-	-	PUNCT
sc-1112	255	14	idw	idw	PROPN
sc-1112	255	15	model	model	NOUN
sc-1112	255	16	.	.	PUNCT
sc-1112	256	1	these	these	DET
sc-1112	256	2	user	user	NOUN
sc-1112	256	3	-	-	PUNCT
sc-1112	256	4	end	end	NOUN
sc-1112	256	5	applications	application	NOUN
sc-1112	256	6	can	can	AUX
sc-1112	256	7	be	be	AUX
sc-1112	256	8	accessed	access	VERB
sc-1112	256	9	from	from	ADP
sc-1112	256	10	anywhere	anywhere	ADV
sc-1112	256	11	to	to	PART
sc-1112	256	12	get	get	VERB
sc-1112	256	13	alert	alert	ADJ
sc-1112	256	14	about	about	ADP
sc-1112	256	15	the	the	DET
sc-1112	256	16	air	air	NOUN
sc-1112	256	17	quality	quality	NOUN
sc-1112	256	18	level	level	NOUN
sc-1112	256	19	.	.	PUNCT
sc-1112	257	1	these	these	DET
sc-1112	257	2	user	user	NOUN
sc-1112	257	3	applications	application	NOUN
sc-1112	257	4	are	be	AUX
sc-1112	257	5	developed	develop	VERB
sc-1112	257	6	by	by	ADP
sc-1112	257	7	web	web	NOUN
sc-1112	257	8	app	app	NOUN
sc-1112	257	9	builder	builder	NOUN
sc-1112	257	10	of	of	ADP
sc-1112	257	11	arcgis	arcgis	PROPN
sc-1112	257	12	software	software	PROPN
sc-1112	257	13	,	,	PUNCT
sc-1112	257	14	which	which	PRON
sc-1112	257	15	provides	provide	VERB
sc-1112	257	16	location	location	NOUN
sc-1112	257	17	-	-	PUNCT
sc-1112	257	18	based	base	VERB
sc-1112	257	19	service	service	NOUN
sc-1112	257	20	accessibility	accessibility	NOUN
sc-1112	257	21	.	.	PUNCT
sc-1112	258	1	these	these	DET
sc-1112	258	2	services	service	NOUN
sc-1112	258	3	can	can	AUX
sc-1112	258	4	also	also	ADV
sc-1112	258	5	be	be	AUX
sc-1112	258	6	used	use	VERB
sc-1112	258	7	to	to	PART
sc-1112	258	8	access	access	VERB
sc-1112	258	9	location	location	NOUN
sc-1112	258	10	information	information	NOUN
sc-1112	258	11	of	of	ADP
sc-1112	258	12	treatment	treatment	NOUN
sc-1112	258	13	facilities	facility	NOUN
sc-1112	258	14	and	and	CCONJ
sc-1112	258	15	emergency	emergency	NOUN
sc-1112	258	16	services	service	NOUN
sc-1112	258	17	(	(	PUNCT
sc-1112	258	18	mbuh	mbuh	NOUN
sc-1112	258	19	et	et	PROPN
sc-1112	258	20	al	al	PROPN
sc-1112	258	21	.	.	PROPN
sc-1112	258	22	2020	2020	NUM
sc-1112	258	23	)	)	PUNCT
sc-1112	258	24	.	.	PUNCT
sc-1112	259	1	the	the	DET
sc-1112	259	2	geoenabled	geoenabled	ADJ
sc-1112	259	3	,	,	PUNCT
sc-1112	259	4	iot	iot	PROPN
sc-1112	259	5	based	base	VERB
sc-1112	259	6	dynamic	dynamic	ADJ
sc-1112	259	7	end	end	NOUN
sc-1112	259	8	-	-	PUNCT
sc-1112	259	9	user	user	NOUN
sc-1112	259	10	applications	application	NOUN
sc-1112	259	11	facilitate	facilitate	VERB
sc-1112	259	12	the	the	DET
sc-1112	259	13	decision	decision	NOUN
sc-1112	259	14	-	-	PUNCT
sc-1112	259	15	making	make	VERB
sc-1112	259	16	process	process	NOUN
sc-1112	259	17	by	by	ADP
sc-1112	259	18	improving	improve	VERB
sc-1112	259	19	situational	situational	ADJ
sc-1112	259	20	awareness	awareness	NOUN
sc-1112	259	21	.	.	PUNCT
sc-1112	260	1	7	7	X
sc-1112	260	2	.	.	X
sc-1112	260	3	conclusion	conclusion	NOUN
sc-1112	260	4	to	to	PART
sc-1112	260	5	conclude	conclude	VERB
sc-1112	260	6	,	,	PUNCT
sc-1112	260	7	this	this	DET
sc-1112	260	8	research	research	NOUN
sc-1112	260	9	paper	paper	NOUN
sc-1112	260	10	proposed	propose	VERB
sc-1112	260	11	a	a	DET
sc-1112	260	12	new	new	ADJ
sc-1112	260	13	methodology	methodology	NOUN
sc-1112	260	14	framework	framework	NOUN
sc-1112	260	15	that	that	PRON
sc-1112	260	16	combines	combine	VERB
sc-1112	260	17	both	both	PRON
sc-1112	260	18	deep	deep	ADJ
sc-1112	260	19	learning	learning	NOUN
sc-1112	260	20	and	and	CCONJ
sc-1112	260	21	geostatistical	geostatistical	ADJ
sc-1112	260	22	approach	approach	NOUN
sc-1112	260	23	to	to	PART
sc-1112	260	24	improve	improve	VERB
sc-1112	260	25	spatial	spatial	ADJ
sc-1112	260	26	prediction	prediction	NOUN
sc-1112	260	27	accuracy	accuracy	NOUN
sc-1112	260	28	at	at	ADP
sc-1112	260	29	a	a	DET
sc-1112	260	30	larger	large	ADJ
sc-1112	260	31	temporal	temporal	ADJ
sc-1112	260	32	granularity	granularity	NOUN
sc-1112	260	33	.	.	PUNCT
sc-1112	261	1	the	the	DET
sc-1112	261	2	neural	neural	ADJ
sc-1112	261	3	network	network	NOUN
sc-1112	261	4	layer	layer	NOUN
sc-1112	261	5	improved	improve	VERB
sc-1112	261	6	the	the	DET
sc-1112	261	7	temporal	temporal	ADJ
sc-1112	261	8	prediction	prediction	NOUN
sc-1112	261	9	accuracy	accuracy	NOUN
sc-1112	261	10	,	,	PUNCT
sc-1112	261	11	whereas	whereas	SCONJ
sc-1112	261	12	the	the	DET
sc-1112	261	13	idw	idw	PROPN
sc-1112	261	14	interpolation	interpolation	NOUN
sc-1112	261	15	layer	layer	NOUN
sc-1112	261	16	improved	improve	VERB
sc-1112	261	17	the	the	DET
sc-1112	261	18	spatial	spatial	ADJ
sc-1112	261	19	prediction	prediction	NOUN
sc-1112	261	20	accuracy	accuracy	NOUN
sc-1112	261	21	in	in	ADP
sc-1112	261	22	the	the	DET
sc-1112	261	23	study	study	NOUN
sc-1112	261	24	area	area	NOUN
sc-1112	261	25	.	.	PUNCT
sc-1112	262	1	this	this	DET
sc-1112	262	2	research	research	NOUN
sc-1112	262	3	work	work	NOUN
sc-1112	262	4	is	be	AUX
sc-1112	262	5	conducted	conduct	VERB
sc-1112	262	6	using	use	VERB
sc-1112	262	7	only	only	ADV
sc-1112	262	8	pm10	pm10	PROPN
sc-1112	262	9	pollutant	pollutant	ADJ
sc-1112	262	10	data	datum	NOUN
sc-1112	262	11	due	due	ADP
sc-1112	262	12	to	to	ADP
sc-1112	262	13	proper	proper	ADJ
sc-1112	262	14	data	datum	NOUN
sc-1112	262	15	unavailability	unavailability	NOUN
sc-1112	262	16	.	.	PUNCT
sc-1112	263	1	analyzing	analyze	VERB
sc-1112	263	2	the	the	DET
sc-1112	263	3	influence	influence	NOUN
sc-1112	263	4	of	of	ADP
sc-1112	263	5	meteorological	meteorological	ADJ
sc-1112	263	6	and	and	CCONJ
sc-1112	263	7	traffic	traffic	NOUN
sc-1112	263	8	parameters	parameter	NOUN
sc-1112	263	9	on	on	ADP
sc-1112	263	10	the	the	DET
sc-1112	263	11	ambient	ambient	ADJ
sc-1112	263	12	air	air	NOUN
sc-1112	263	13	quality	quality	NOUN
sc-1112	263	14	could	could	AUX
sc-1112	263	15	further	far	ADV
sc-1112	263	16	improve	improve	VERB
sc-1112	263	17	the	the	DET
sc-1112	263	18	model	model	NOUN
sc-1112	263	19	prediction	prediction	NOUN
sc-1112	263	20	performance	performance	NOUN
sc-1112	263	21	.	.	PUNCT
sc-1112	264	1	in	in	ADP
sc-1112	264	2	the	the	DET
sc-1112	264	3	future	future	NOUN
sc-1112	264	4	,	,	PUNCT
sc-1112	264	5	if	if	SCONJ
sc-1112	264	6	more	more	ADJ
sc-1112	264	7	data	datum	NOUN
sc-1112	264	8	will	will	AUX
sc-1112	264	9	be	be	AUX
sc-1112	264	10	available	available	ADJ
sc-1112	264	11	,	,	PUNCT
sc-1112	264	12	then	then	ADV
sc-1112	264	13	using	use	VERB
sc-1112	264	14	multivariate	multivariate	NOUN
sc-1112	264	15	interpolation	interpolation	NOUN
sc-1112	264	16	technique	technique	NOUN
sc-1112	264	17	is	be	AUX
sc-1112	264	18	expected	expect	VERB
sc-1112	264	19	to	to	PART
sc-1112	264	20	improve	improve	VERB
sc-1112	264	21	the	the	DET
sc-1112	264	22	prediction	prediction	NOUN
sc-1112	264	23	results	result	NOUN
sc-1112	264	24	.	.	PUNCT
sc-1112	265	1	8	8	X
sc-1112	265	2	.	.	X
sc-1112	265	3	acknowledgment	acknowledgment	NOUN
sc-1112	265	4	this	this	DET
sc-1112	265	5	research	research	NOUN
sc-1112	265	6	and	and	CCONJ
sc-1112	265	7	product	product	NOUN
sc-1112	265	8	development	development	NOUN
sc-1112	265	9	work	work	NOUN
sc-1112	265	10	is	be	AUX
sc-1112	265	11	financially	financially	ADV
sc-1112	265	12	supported	support	VERB
sc-1112	265	13	by	by	ADP
sc-1112	265	14	the	the	DET
sc-1112	265	15	ministry	ministry	PROPN
sc-1112	265	16	of	of	ADP
sc-1112	265	17	human	human	PROPN
sc-1112	265	18	resource	resource	NOUN
sc-1112	265	19	development	development	NOUN
sc-1112	265	20	and	and	CCONJ
sc-1112	265	21	ministry	ministry	PROPN
sc-1112	265	22	of	of	ADP
sc-1112	265	23	housing	housing	PROPN
sc-1112	265	24	and	and	CCONJ
sc-1112	265	25	urban	urban	PROPN
sc-1112	265	26	affairs	affair	NOUN
sc-1112	265	27	,	,	PUNCT
sc-1112	265	28	government	government	NOUN
sc-1112	265	29	of	of	ADP
sc-1112	265	30	india	india	PROPN
sc-1112	265	31	.	.	PUNCT
sc-1112	266	1	figure	figure	NOUN
sc-1112	266	2	8	8	NUM
sc-1112	266	3	.	.	PUNCT
sc-1112	266	4	developed	develop	VERB
sc-1112	266	5	a	a	DET
sc-1112	266	6	mobile	mobile	ADJ
sc-1112	266	7	application	application	NOUN
sc-1112	266	8	to	to	PART
sc-1112	266	9	present	present	VERB
sc-1112	266	10	the	the	DET
sc-1112	266	11	air	air	NOUN
sc-1112	266	12	pollution	pollution	PROPN
sc-1112	266	13	spatial	spatial	ADJ
sc-1112	266	14	prediction	prediction	NOUN
sc-1112	266	15	map	map	NOUN
sc-1112	266	16	.	.	PUNCT
sc-1112	267	1	references	reference	NOUN
sc-1112	267	2	beig	beig	ADJ
sc-1112	267	3	,	,	PUNCT
sc-1112	267	4	gufran	gufran	VERB
sc-1112	267	5	et	et	PROPN
sc-1112	267	6	al	al	PROPN
sc-1112	267	7	.	.	PROPN
sc-1112	268	1	(	(	PUNCT
sc-1112	268	2	2020	2020	NUM
sc-1112	268	3	)	)	PUNCT
sc-1112	268	4	.	.	PUNCT
sc-1112	269	1	“	"	PUNCT
sc-1112	269	2	objective	objective	ADJ
sc-1112	269	3	evaluation	evaluation	NOUN
sc-1112	269	4	of	of	ADP
sc-1112	269	5	stubble	stubble	ADJ
sc-1112	269	6	emission	emission	NOUN
sc-1112	269	7	of	of	ADP
sc-1112	269	8	north	north	PROPN
sc-1112	269	9	india	india	PROPN
sc-1112	269	10	and	and	CCONJ
sc-1112	269	11	quantifying	quantify	VERB
sc-1112	269	12	its	its	PRON
sc-1112	269	13	impact	impact	NOUN
sc-1112	269	14	on	on	ADP
sc-1112	269	15	air	air	NOUN
sc-1112	269	16	quality	quality	NOUN
sc-1112	269	17	of	of	ADP
sc-1112	269	18	delhi	delhi	PROPN
sc-1112	269	19	”	"	PUNCT
sc-1112	269	20	.	.	PUNCT
sc-1112	270	1	in	in	ADP
sc-1112	270	2	:	:	PUNCT
sc-1112	270	3	science	science	NOUN
sc-1112	270	4	of	of	ADP
sc-1112	270	5	the	the	DET
sc-1112	270	6	total	total	ADJ
sc-1112	270	7	environment	environment	NOUN
sc-1112	270	8	709	709	NUM
sc-1112	270	9	,	,	PUNCT
sc-1112	270	10	p.	p.	NOUN
sc-1112	270	11	136126	136126	NUM
sc-1112	270	12	.	.	PUNCT
sc-1112	271	1	bhunia	bhunia	NOUN
sc-1112	271	2	,	,	PUNCT
sc-1112	271	3	gouri	gouri	PROPN
sc-1112	271	4	sankar	sankar	PROPN
sc-1112	271	5	,	,	PUNCT
sc-1112	271	6	pravat	pravat	PROPN
sc-1112	271	7	kumar	kumar	PROPN
sc-1112	271	8	shit	shit	PROPN
sc-1112	271	9	,	,	PUNCT
sc-1112	271	10	and	and	CCONJ
sc-1112	271	11	ramkrishna	ramkrishna	VERB
sc-1112	271	12	maiti	maiti	NOUN
sc-1112	271	13	(	(	PUNCT
sc-1112	271	14	2018	2018	NUM
sc-1112	271	15	)	)	PUNCT
sc-1112	271	16	.	.	PUNCT
sc-1112	272	1	“	"	PUNCT
sc-1112	272	2	comparison	comparison	NOUN
sc-1112	272	3	of	of	ADP
sc-1112	272	4	gis	gis	NOUN
sc-1112	272	5	-	-	PUNCT
sc-1112	272	6	based	base	VERB
sc-1112	272	7	interpolation	interpolation	NOUN
sc-1112	272	8	methods	method	NOUN
sc-1112	272	9	for	for	ADP
sc-1112	272	10	spatial	spatial	ADJ
sc-1112	272	11	distribution	distribution	NOUN
sc-1112	272	12	of	of	ADP
sc-1112	272	13	soil	soil	NOUN
sc-1112	272	14	organic	organic	ADJ
sc-1112	272	15	carbon	carbon	NOUN
sc-1112	272	16	(	(	PUNCT
sc-1112	272	17	soc	soc	NOUN
sc-1112	272	18	)	)	PUNCT
sc-1112	272	19	”	"	PUNCT
sc-1112	272	20	.	.	PUNCT
sc-1112	273	1	in	in	ADP
sc-1112	273	2	:	:	PUNCT
sc-1112	273	3	journal	journal	NOUN
sc-1112	273	4	of	of	ADP
sc-1112	273	5	the	the	DET
sc-1112	273	6	saudi	saudi	ADJ
sc-1112	273	7	society	society	NOUN
sc-1112	273	8	of	of	ADP
sc-1112	273	9	agricultural	agricultural	ADJ
sc-1112	273	10	sciences	science	NOUN
sc-1112	273	11	17.2	17.2	NUM
sc-1112	273	12	,	,	PUNCT
sc-1112	273	13	pp	pp	ADJ
sc-1112	273	14	.	.	PUNCT
sc-1112	274	1	114–126	114–126	NUM
sc-1112	274	2	.	.	X
sc-1112	274	3	9	9	NUM
sc-1112	274	4	eai	eai	NOUN
sc-1112	274	5	endorsed	endorse	VERB
sc-1112	274	6	transactions	transaction	NOUN
sc-1112	274	7	on	on	ADP
sc-1112	274	8	smart	smart	ADJ
sc-1112	274	9	cities	city	NOUN
sc-1112	274	10	01	01	NUM
sc-1112	274	11	2021	2021	NUM
sc-1112	274	12	04	04	NUM
sc-1112	274	13	2021	2021	NUM
sc-1112	275	1	|	|	ADV
sc-1112	275	2	volume	volume	NOUN
sc-1112	275	3	5	5	NUM
sc-1112	275	4	|	|	ADV
sc-1112	275	5	issue	issue	NOUN
sc-1112	275	6	14	14	NUM
sc-1112	275	7	|	|	NOUN
sc-1112	275	8	e4	e4	PROPN
sc-1112	275	9	k.krishna	k.krishna	VERB
sc-1112	275	10	rani	rani	PROPN
sc-1112	275	11	samal	samal	PROPN
sc-1112	275	12	et	et	PROPN
sc-1112	275	13	al	al	PROPN
sc-1112	275	14	.	.	PROPN
sc-1112	275	15	figure	figure	NOUN
sc-1112	275	16	9	9	NUM
sc-1112	275	17	.	.	NUM
sc-1112	275	18	developed	develop	VERB
sc-1112	275	19	a	a	DET
sc-1112	275	20	tablet	tablet	ADJ
sc-1112	275	21	application	application	NOUN
sc-1112	275	22	to	to	PART
sc-1112	275	23	present	present	VERB
sc-1112	275	24	the	the	DET
sc-1112	275	25	air	air	NOUN
sc-1112	275	26	pollution	pollution	PROPN
sc-1112	275	27	spatial	spatial	ADJ
sc-1112	275	28	prediction	prediction	NOUN
sc-1112	275	29	map	map	NOUN
sc-1112	275	30	.	.	PUNCT
sc-1112	276	1	figure	figure	NOUN
sc-1112	276	2	10	10	NUM
sc-1112	276	3	.	.	PUNCT
sc-1112	277	1	developed	develop	VERB
sc-1112	277	2	a	a	DET
sc-1112	277	3	web	web	NOUN
sc-1112	277	4	client	client	NOUN
sc-1112	277	5	application	application	NOUN
sc-1112	277	6	to	to	PART
sc-1112	277	7	present	present	VERB
sc-1112	277	8	the	the	DET
sc-1112	277	9	air	air	NOUN
sc-1112	277	10	pollution	pollution	PROPN
sc-1112	277	11	spatial	spatial	ADJ
sc-1112	277	12	prediction	prediction	NOUN
sc-1112	277	13	map	map	NOUN
sc-1112	277	14	.	.	PUNCT
sc-1112	278	1	boys	boy	NOUN
sc-1112	278	2	,	,	PUNCT
sc-1112	278	3	bl	bl	PROPN
sc-1112	278	4	et	et	PROPN
sc-1112	278	5	al	al	PROPN
sc-1112	278	6	.	.	PROPN
sc-1112	278	7	(	(	PUNCT
sc-1112	278	8	2014	2014	NUM
sc-1112	278	9	)	)	PUNCT
sc-1112	278	10	.	.	PUNCT
sc-1112	279	1	“	"	PUNCT
sc-1112	279	2	fifteen	fifteen	NUM
sc-1112	279	3	-	-	PUNCT
sc-1112	279	4	year	year	NOUN
sc-1112	279	5	global	global	ADJ
sc-1112	279	6	time	time	NOUN
sc-1112	279	7	series	series	PROPN
sc-1112	279	8	of	of	ADP
sc-1112	279	9	satellite	satellite	NOUN
sc-1112	279	10	-	-	PUNCT
sc-1112	279	11	derived	derive	VERB
sc-1112	279	12	fine	fine	ADJ
sc-1112	279	13	particulate	particulate	NOUN
sc-1112	279	14	matter	matter	NOUN
sc-1112	279	15	”	"	PUNCT
sc-1112	279	16	.	.	PUNCT
sc-1112	280	1	in	in	ADP
sc-1112	280	2	:	:	PUNCT
sc-1112	280	3	environmental	environmental	ADJ
sc-1112	280	4	science	science	NOUN
sc-1112	280	5	&	&	CCONJ
sc-1112	280	6	technology	technology	PROPN
sc-1112	280	7	48.19	48.19	NUM
sc-1112	280	8	,	,	PUNCT
sc-1112	280	9	pp	pp	ADJ
sc-1112	280	10	.	.	PUNCT
sc-1112	281	1	11109–11118	11109–11118	NUM
sc-1112	281	2	.	.	PUNCT
sc-1112	282	1	brauer	brauer	PROPN
sc-1112	282	2	,	,	PUNCT
sc-1112	282	3	michael	michael	PROPN
sc-1112	282	4	et	et	PROPN
sc-1112	282	5	al	al	PROPN
sc-1112	282	6	.	.	PROPN
sc-1112	282	7	(	(	PUNCT
sc-1112	282	8	2019	2019	NUM
sc-1112	282	9	)	)	PUNCT
sc-1112	282	10	.	.	PUNCT
sc-1112	283	1	“	"	PUNCT
sc-1112	283	2	examination	examination	NOUN
sc-1112	283	3	of	of	ADP
sc-1112	283	4	monitoring	monitor	VERB
sc-1112	283	5	approaches	approach	NOUN
sc-1112	283	6	for	for	ADP
sc-1112	283	7	ambient	ambient	ADJ
sc-1112	283	8	air	air	NOUN
sc-1112	283	9	pollution	pollution	NOUN
sc-1112	283	10	:	:	PUNCT
sc-1112	283	11	a	a	DET
sc-1112	283	12	case	case	NOUN
sc-1112	283	13	study	study	NOUN
sc-1112	283	14	for	for	ADP
sc-1112	283	15	india	india	PROPN
sc-1112	283	16	”	"	PUNCT
sc-1112	283	17	.	.	PUNCT
sc-1112	284	1	in	in	ADP
sc-1112	284	2	:	:	PUNCT
sc-1112	284	3	atmospheric	atmospheric	ADJ
sc-1112	284	4	environment	environment	NOUN
sc-1112	284	5	216	216	NUM
sc-1112	284	6	,	,	PUNCT
sc-1112	284	7	p.	p.	NOUN
sc-1112	284	8	116940	116940	NUM
sc-1112	284	9	.	.	PUNCT
sc-1112	285	1	chowdhury	chowdhury	PROPN
sc-1112	285	2	,	,	PUNCT
sc-1112	285	3	sourangsu	sourangsu	NOUN
sc-1112	285	4	et	et	PROPN
sc-1112	285	5	al	al	PROPN
sc-1112	285	6	.	.	PROPN
sc-1112	285	7	(	(	PUNCT
sc-1112	285	8	2019	2019	NUM
sc-1112	285	9	)	)	PUNCT
sc-1112	285	10	.	.	PUNCT
sc-1112	286	1	“	"	PUNCT
sc-1112	286	2	tracking	track	VERB
sc-1112	286	3	ambient	ambient	ADJ
sc-1112	286	4	pm2	pm2	NOUN
sc-1112	286	5	.	.	PUNCT
sc-1112	287	1	5	5	NUM
sc-1112	287	2	build	build	NOUN
sc-1112	287	3	-	-	PUNCT
sc-1112	287	4	up	up	NOUN
sc-1112	287	5	in	in	ADP
sc-1112	287	6	delhi	delhi	PROPN
sc-1112	287	7	national	national	PROPN
sc-1112	287	8	capital	capital	PROPN
sc-1112	287	9	region	region	NOUN
sc-1112	287	10	during	during	ADP
sc-1112	287	11	the	the	DET
sc-1112	287	12	dry	dry	ADJ
sc-1112	287	13	season	season	NOUN
sc-1112	287	14	over	over	ADP
sc-1112	287	15	15	15	NUM
sc-1112	287	16	years	year	NOUN
sc-1112	287	17	using	use	VERB
sc-1112	287	18	a	a	DET
sc-1112	287	19	high	high	ADJ
sc-1112	287	20	-	-	PUNCT
sc-1112	287	21	resolution	resolution	NOUN
sc-1112	287	22	(	(	PUNCT
sc-1112	287	23	1	1	NUM
sc-1112	287	24	km	km	NOUN
sc-1112	287	25	)	)	PUNCT
sc-1112	287	26	satellite	satellite	NOUN
sc-1112	287	27	aerosol	aerosol	NOUN
sc-1112	287	28	dataset	dataset	NOUN
sc-1112	287	29	”	"	PUNCT
sc-1112	287	30	.	.	PUNCT
sc-1112	288	1	in	in	ADP
sc-1112	288	2	:	:	PUNCT
sc-1112	288	3	atmospheric	atmospheric	ADJ
sc-1112	288	4	environment	environment	NOUN
sc-1112	288	5	204	204	NUM
sc-1112	288	6	,	,	PUNCT
sc-1112	288	7	pp	pp	ADJ
sc-1112	288	8	.	.	PUNCT
sc-1112	288	9	142–150	142–150	NUM
sc-1112	288	10	.	.	PUNCT
sc-1112	288	11	contreras	contreras	PROPN
sc-1112	288	12	,	,	PUNCT
sc-1112	288	13	lidia	lidia	PROPN
sc-1112	288	14	and	and	CCONJ
sc-1112	288	15	cesar	cesar	PROPN
sc-1112	288	16	ferri	ferri	PROPN
sc-1112	288	17	(	(	PUNCT
sc-1112	288	18	2016	2016	NUM
sc-1112	288	19	)	)	PUNCT
sc-1112	288	20	.	.	PUNCT
sc-1112	289	1	“	"	PUNCT
sc-1112	289	2	wind	wind	NOUN
sc-1112	289	3	-	-	PUNCT
sc-1112	289	4	sensitive	sensitive	ADJ
sc-1112	289	5	interpolation	interpolation	NOUN
sc-1112	289	6	of	of	ADP
sc-1112	289	7	urban	urban	ADJ
sc-1112	289	8	air	air	NOUN
sc-1112	289	9	pollution	pollution	NOUN
sc-1112	289	10	forecasts	forecast	NOUN
sc-1112	289	11	”	"	PUNCT
sc-1112	289	12	.	.	PUNCT
sc-1112	290	1	in	in	ADP
sc-1112	290	2	:	:	PUNCT
sc-1112	290	3	procedia	procedia	NOUN
sc-1112	290	4	computer	computer	NOUN
sc-1112	290	5	science	science	NOUN
sc-1112	290	6	80	80	NUM
sc-1112	290	7	,	,	PUNCT
sc-1112	290	8	pp	pp	ADJ
sc-1112	290	9	.	.	PUNCT
sc-1112	291	1	313–323	313–323	NUM
sc-1112	291	2	.	.	PUNCT
sc-1112	292	1	contreras	contrera	NOUN
sc-1112	292	2	-	-	PUNCT
sc-1112	292	3	ochando	ochando	PROPN
sc-1112	292	4	,	,	PUNCT
sc-1112	292	5	lidia	lidia	PROPN
sc-1112	292	6	and	and	CCONJ
sc-1112	292	7	cesar	cesar	PROPN
sc-1112	292	8	ferri	ferri	PROPN
sc-1112	292	9	(	(	PUNCT
sc-1112	292	10	2016	2016	NUM
sc-1112	292	11	)	)	PUNCT
sc-1112	292	12	.	.	PUNCT
sc-1112	293	1	“	"	PUNCT
sc-1112	293	2	airvlc	airvlc	PROPN
sc-1112	293	3	:	:	PUNCT
sc-1112	293	4	an	an	DET
sc-1112	293	5	application	application	NOUN
sc-1112	293	6	for	for	ADP
sc-1112	293	7	visualizing	visualize	VERB
sc-1112	293	8	wind	wind	NOUN
sc-1112	293	9	-	-	PUNCT
sc-1112	293	10	sensitive	sensitive	ADJ
sc-1112	293	11	interpolation	interpolation	NOUN
sc-1112	293	12	of	of	ADP
sc-1112	293	13	urban	urban	ADJ
sc-1112	293	14	air	air	NOUN
sc-1112	293	15	pollution	pollution	NOUN
sc-1112	293	16	forecasts	forecast	NOUN
sc-1112	293	17	”	"	PUNCT
sc-1112	293	18	.	.	PUNCT
sc-1112	294	1	in	in	ADP
sc-1112	294	2	:	:	PUNCT
sc-1112	294	3	2016	2016	NUM
sc-1112	294	4	ieee	ieee	NOUN
sc-1112	294	5	16th	16th	ADJ
sc-1112	294	6	international	international	ADJ
sc-1112	294	7	conference	conference	NOUN
sc-1112	294	8	on	on	ADP
sc-1112	294	9	data	datum	NOUN
sc-1112	294	10	mining	mining	NOUN
sc-1112	294	11	workshops	workshop	NOUN
sc-1112	294	12	(	(	PUNCT
sc-1112	294	13	icdmw	icdmw	PROPN
sc-1112	294	14	)	)	PUNCT
sc-1112	294	15	.	.	PUNCT
sc-1112	295	1	ieee	ieee	PROPN
sc-1112	295	2	,	,	PUNCT
sc-1112	295	3	pp	pp	ADP
sc-1112	295	4	.	.	PUNCT
sc-1112	296	1	1296–1299	1296–1299	NUM
sc-1112	296	2	.	.	PUNCT
sc-1112	297	1	cressie	cressie	PROPN
sc-1112	297	2	,	,	PUNCT
sc-1112	297	3	noel	noel	PROPN
sc-1112	297	4	(	(	PUNCT
sc-1112	297	5	1990	1990	NUM
sc-1112	297	6	)	)	PUNCT
sc-1112	297	7	.	.	PUNCT
sc-1112	298	1	“	"	PUNCT
sc-1112	298	2	the	the	DET
sc-1112	298	3	origins	origin	NOUN
sc-1112	298	4	of	of	ADP
sc-1112	298	5	kriging	krige	VERB
sc-1112	298	6	”	"	PUNCT
sc-1112	298	7	.	.	PUNCT
sc-1112	299	1	in	in	ADP
sc-1112	299	2	:	:	PUNCT
sc-1112	299	3	mathematical	mathematical	ADJ
sc-1112	299	4	geology	geology	NOUN
sc-1112	299	5	22.3	22.3	NUM
sc-1112	299	6	,	,	PUNCT
sc-1112	299	7	pp	pp	ADJ
sc-1112	299	8	.	.	PUNCT
sc-1112	300	1	239–252	239–252	NUM
sc-1112	300	2	.	.	X
sc-1112	300	3	du	du	PROPN
sc-1112	300	4	,	,	PUNCT
sc-1112	300	5	shengdong	shengdong	PROPN
sc-1112	300	6	et	et	PROPN
sc-1112	300	7	al	al	PROPN
sc-1112	300	8	.	.	PROPN
sc-1112	300	9	(	(	PUNCT
sc-1112	300	10	2019	2019	NUM
sc-1112	300	11	)	)	PUNCT
sc-1112	300	12	.	.	PUNCT
sc-1112	301	1	“	"	PUNCT
sc-1112	301	2	deep	deep	ADJ
sc-1112	301	3	air	air	NOUN
sc-1112	301	4	quality	quality	NOUN
sc-1112	301	5	forecasting	forecasting	NOUN
sc-1112	301	6	using	use	VERB
sc-1112	301	7	hybrid	hybrid	ADJ
sc-1112	301	8	deep	deep	ADJ
sc-1112	301	9	learning	learning	NOUN
sc-1112	301	10	framework	framework	NOUN
sc-1112	301	11	”	"	PUNCT
sc-1112	301	12	.	.	PUNCT
sc-1112	302	1	in	in	ADP
sc-1112	302	2	:	:	PUNCT
sc-1112	302	3	ieee	ieee	NOUN
sc-1112	302	4	transactions	transaction	NOUN
sc-1112	302	5	on	on	ADP
sc-1112	302	6	knowledge	knowledge	NOUN
sc-1112	302	7	and	and	CCONJ
sc-1112	302	8	data	datum	NOUN
sc-1112	302	9	engineering	engineering	NOUN
sc-1112	302	10	.	.	PUNCT
sc-1112	303	1	elangasinghe	elangasinghe	PROPN
sc-1112	303	2	,	,	PUNCT
sc-1112	303	3	ma	ma	PROPN
sc-1112	303	4	et	et	PROPN
sc-1112	303	5	al	al	PROPN
sc-1112	303	6	.	.	PROPN
sc-1112	304	1	(	(	PUNCT
sc-1112	304	2	2014	2014	NUM
sc-1112	304	3	)	)	PUNCT
sc-1112	304	4	.	.	PUNCT
sc-1112	305	1	“	"	PUNCT
sc-1112	305	2	complex	complex	ADJ
sc-1112	305	3	time	time	NOUN
sc-1112	305	4	series	series	NOUN
sc-1112	305	5	analysis	analysis	NOUN
sc-1112	305	6	of	of	ADP
sc-1112	305	7	pm10	pm10	PROPN
sc-1112	305	8	and	and	CCONJ
sc-1112	305	9	pm2	pm2	NOUN
sc-1112	305	10	.	.	PROPN
sc-1112	305	11	5	5	NUM
sc-1112	305	12	for	for	ADP
sc-1112	305	13	a	a	DET
sc-1112	305	14	coastal	coastal	ADJ
sc-1112	305	15	site	site	NOUN
sc-1112	305	16	using	use	VERB
sc-1112	305	17	artificial	artificial	ADJ
sc-1112	305	18	neural	neural	ADJ
sc-1112	305	19	network	network	NOUN
sc-1112	305	20	modelling	modelling	NOUN
sc-1112	305	21	and	and	CCONJ
sc-1112	305	22	k	k	ADJ
sc-1112	305	23	-	-	PUNCT
sc-1112	305	24	means	means	NOUN
sc-1112	305	25	clustering	clustering	NOUN
sc-1112	305	26	”	"	PUNCT
sc-1112	305	27	.	.	PUNCT
sc-1112	306	1	in	in	ADP
sc-1112	306	2	:	:	PUNCT
sc-1112	306	3	atmospheric	atmospheric	ADJ
sc-1112	306	4	environment	environment	NOUN
sc-1112	306	5	94	94	NUM
sc-1112	306	6	,	,	PUNCT
sc-1112	306	7	pp	pp	ADJ
sc-1112	306	8	.	.	PUNCT
sc-1112	307	1	106–116	106–116	NUM
sc-1112	307	2	.	.	PUNCT
sc-1112	308	1	fan	fan	PROPN
sc-1112	308	2	,	,	PUNCT
sc-1112	308	3	junxiang	junxiang	PROPN
sc-1112	308	4	et	et	PROPN
sc-1112	308	5	al	al	PROPN
sc-1112	308	6	.	.	PROPN
sc-1112	308	7	(	(	PUNCT
sc-1112	308	8	2017	2017	NUM
sc-1112	308	9	)	)	PUNCT
sc-1112	308	10	.	.	PUNCT
sc-1112	309	1	“	"	PUNCT
sc-1112	309	2	a	a	DET
sc-1112	309	3	spatiotemporal	spatiotemporal	ADJ
sc-1112	309	4	prediction	prediction	NOUN
sc-1112	309	5	framework	framework	NOUN
sc-1112	309	6	for	for	ADP
sc-1112	309	7	air	air	NOUN
sc-1112	309	8	pollution	pollution	NOUN
sc-1112	309	9	based	base	VERB
sc-1112	309	10	on	on	ADP
sc-1112	309	11	deep	deep	ADJ
sc-1112	309	12	rnn	rnn	NOUN
sc-1112	309	13	”	"	PUNCT
sc-1112	309	14	.	.	PUNCT
sc-1112	310	1	in	in	ADP
sc-1112	310	2	:	:	PUNCT
sc-1112	310	3	isprs	isprs	NOUN
sc-1112	310	4	annals	annal	NOUN
sc-1112	310	5	of	of	ADP
sc-1112	310	6	the	the	DET
sc-1112	310	7	photogrammetry	photogrammetry	NOUN
sc-1112	310	8	,	,	PUNCT
sc-1112	310	9	remote	remote	ADJ
sc-1112	310	10	sensing	sensing	NOUN
sc-1112	310	11	and	and	CCONJ
sc-1112	310	12	spatial	spatial	ADJ
sc-1112	310	13	information	information	NOUN
sc-1112	310	14	sciences	science	NOUN
sc-1112	310	15	4	4	NUM
sc-1112	310	16	,	,	PUNCT
sc-1112	310	17	p.	p.	NOUN
sc-1112	310	18	15	15	NUM
sc-1112	310	19	.	.	PUNCT
sc-1112	311	1	feng	feng	PROPN
sc-1112	311	2	,	,	PUNCT
sc-1112	311	3	xiao	xiao	PROPN
sc-1112	311	4	et	et	PROPN
sc-1112	311	5	al	al	PROPN
sc-1112	311	6	.	.	PROPN
sc-1112	311	7	(	(	PUNCT
sc-1112	311	8	2015	2015	NUM
sc-1112	311	9	)	)	PUNCT
sc-1112	311	10	.	.	PUNCT
sc-1112	312	1	“	"	PUNCT
sc-1112	312	2	an	an	DET
sc-1112	312	3	estimate	estimate	NOUN
sc-1112	312	4	of	of	ADP
sc-1112	312	5	population	population	NOUN
sc-1112	312	6	exposure	exposure	NOUN
sc-1112	312	7	to	to	ADP
sc-1112	312	8	automobile	automobile	NOUN
sc-1112	312	9	source	source	NOUN
sc-1112	312	10	pm	pm	NOUN
sc-1112	312	11	2.5	2.5	NUM
sc-1112	312	12	in	in	ADP
sc-1112	312	13	beijing	beijing	NOUN
sc-1112	312	14	using	use	VERB
sc-1112	312	15	spatiotemporal	spatiotemporal	ADJ
sc-1112	312	16	analysis	analysis	NOUN
sc-1112	312	17	”	"	PUNCT
sc-1112	312	18	.	.	PUNCT
sc-1112	313	1	in	in	ADP
sc-1112	313	2	:	:	PUNCT
sc-1112	313	3	2015	2015	NUM
sc-1112	313	4	ieee	ieee	NOUN
sc-1112	313	5	international	international	ADJ
sc-1112	313	6	geoscience	geoscience	PROPN
sc-1112	313	7	and	and	CCONJ
sc-1112	313	8	remote	remote	ADJ
sc-1112	313	9	sensing	sense	VERB
sc-1112	313	10	symposium	symposium	NOUN
sc-1112	313	11	(	(	PUNCT
sc-1112	313	12	igarss	igarss	NOUN
sc-1112	313	13	)	)	PUNCT
sc-1112	313	14	.	.	PUNCT
sc-1112	314	1	ieee	ieee	PROPN
sc-1112	314	2	,	,	PUNCT
sc-1112	314	3	pp	pp	ADP
sc-1112	314	4	.	.	PUNCT
sc-1112	315	1	3029–3032	3029–3032	NUM
sc-1112	315	2	.	.	PUNCT
sc-1112	316	1	fu	fu	PROPN
sc-1112	316	2	,	,	PUNCT
sc-1112	316	3	rui	rui	PROPN
sc-1112	316	4	,	,	PUNCT
sc-1112	316	5	zuo	zuo	PROPN
sc-1112	316	6	zhang	zhang	PROPN
sc-1112	316	7	,	,	PUNCT
sc-1112	316	8	and	and	CCONJ
sc-1112	316	9	li	li	PROPN
sc-1112	316	10	li	li	PROPN
sc-1112	316	11	(	(	PUNCT
sc-1112	316	12	2016	2016	NUM
sc-1112	316	13	)	)	PUNCT
sc-1112	316	14	.	.	PUNCT
sc-1112	317	1	“	"	PUNCT
sc-1112	317	2	using	use	VERB
sc-1112	317	3	lstm	lstm	NOUN
sc-1112	317	4	and	and	CCONJ
sc-1112	317	5	gru	gru	VERB
sc-1112	317	6	neural	neural	ADJ
sc-1112	317	7	network	network	NOUN
sc-1112	317	8	methods	method	NOUN
sc-1112	317	9	for	for	ADP
sc-1112	317	10	traffic	traffic	NOUN
sc-1112	317	11	flow	flow	NOUN
sc-1112	317	12	prediction	prediction	NOUN
sc-1112	317	13	”	"	PUNCT
sc-1112	317	14	.	.	PUNCT
sc-1112	318	1	in	in	ADP
sc-1112	318	2	:	:	PUNCT
sc-1112	318	3	2016	2016	NUM
sc-1112	318	4	31st	31st	NOUN
sc-1112	318	5	youth	youth	NOUN
sc-1112	318	6	academic	academic	ADJ
sc-1112	318	7	annual	annual	ADJ
sc-1112	318	8	conference	conference	NOUN
sc-1112	318	9	of	of	ADP
sc-1112	318	10	chinese	chinese	PROPN
sc-1112	318	11	association	association	PROPN
sc-1112	318	12	of	of	ADP
sc-1112	318	13	automation	automation	NOUN
sc-1112	318	14	(	(	PUNCT
sc-1112	318	15	yac	yac	NOUN
sc-1112	318	16	)	)	PUNCT
sc-1112	318	17	.	.	PUNCT
sc-1112	319	1	ieee	ieee	PROPN
sc-1112	319	2	,	,	PUNCT
sc-1112	319	3	pp	pp	ADP
sc-1112	319	4	.	.	PUNCT
sc-1112	320	1	324–328	324–328	NUM
sc-1112	320	2	.	.	PUNCT
sc-1112	321	1	gong	gong	PROPN
sc-1112	321	2	,	,	PUNCT
sc-1112	321	3	gordon	gordon	PROPN
sc-1112	321	4	,	,	PUNCT
sc-1112	321	5	sravan	sravan	PROPN
sc-1112	321	6	mattevada	mattevada	PROPN
sc-1112	321	7	,	,	PUNCT
sc-1112	321	8	and	and	CCONJ
sc-1112	321	9	sid	sid	PROPN
sc-1112	321	10	e	e	PROPN
sc-1112	321	11	o’bryant	o’bryant	PROPN
sc-1112	321	12	(	(	PUNCT
sc-1112	321	13	2014	2014	NUM
sc-1112	321	14	)	)	PUNCT
sc-1112	321	15	.	.	PUNCT
sc-1112	322	1	“	"	PUNCT
sc-1112	322	2	comparison	comparison	NOUN
sc-1112	322	3	of	of	ADP
sc-1112	322	4	the	the	DET
sc-1112	322	5	accuracy	accuracy	NOUN
sc-1112	322	6	of	of	ADP
sc-1112	322	7	kriging	krige	VERB
sc-1112	322	8	and	and	CCONJ
sc-1112	322	9	idw	idw	PROPN
sc-1112	322	10	interpolations	interpolation	NOUN
sc-1112	322	11	in	in	ADP
sc-1112	322	12	estimating	estimate	VERB
sc-1112	322	13	groundwater	groundwater	NOUN
sc-1112	322	14	arsenic	arsenic	NOUN
sc-1112	322	15	concentrations	concentration	NOUN
sc-1112	322	16	in	in	ADP
sc-1112	322	17	texas	texas	PROPN
sc-1112	322	18	”	"	PUNCT
sc-1112	322	19	.	.	PUNCT
sc-1112	323	1	in	in	ADP
sc-1112	323	2	:	:	PUNCT
sc-1112	323	3	environmental	environmental	ADJ
sc-1112	323	4	research	research	NOUN
sc-1112	323	5	130	130	NUM
sc-1112	323	6	,	,	PUNCT
sc-1112	323	7	pp	pp	ADJ
sc-1112	323	8	.	.	PUNCT
sc-1112	324	1	59–69	59–69	NUM
sc-1112	324	2	.	.	PUNCT
sc-1112	325	1	gorai	gorai	PROPN
sc-1112	325	2	,	,	PUNCT
sc-1112	325	3	amit	amit	PROPN
sc-1112	325	4	kumar	kumar	PROPN
sc-1112	325	5	,	,	PUNCT
sc-1112	325	6	paul	paul	PROPN
sc-1112	325	7	b	b	PROPN
sc-1112	325	8	tchounwou	tchounwou	PROPN
sc-1112	325	9	,	,	PUNCT
sc-1112	325	10	and	and	CCONJ
sc-1112	325	11	gargi	gargi	NOUN
sc-1112	325	12	mitra	mitra	PROPN
sc-1112	325	13	(	(	PUNCT
sc-1112	325	14	2017	2017	NUM
sc-1112	325	15	)	)	PUNCT
sc-1112	325	16	.	.	PUNCT
sc-1112	326	1	“	"	PUNCT
sc-1112	326	2	spatial	spatial	ADJ
sc-1112	326	3	variation	variation	NOUN
sc-1112	326	4	of	of	ADP
sc-1112	326	5	ground	ground	NOUN
sc-1112	326	6	level	level	NOUN
sc-1112	326	7	ozone	ozone	NOUN
sc-1112	326	8	concentrations	concentration	NOUN
sc-1112	326	9	and	and	CCONJ
sc-1112	326	10	its	its	PRON
sc-1112	326	11	health	health	NOUN
sc-1112	326	12	impacts	impact	NOUN
sc-1112	326	13	in	in	ADP
sc-1112	326	14	an	an	DET
sc-1112	326	15	urban	urban	ADJ
sc-1112	326	16	area	area	NOUN
sc-1112	326	17	in	in	ADP
sc-1112	326	18	india	india	PROPN
sc-1112	326	19	”	"	PUNCT
sc-1112	326	20	.	.	PUNCT
sc-1112	327	1	in	in	ADP
sc-1112	327	2	:	:	PUNCT
sc-1112	327	3	aerosol	aerosol	NOUN
sc-1112	327	4	and	and	CCONJ
sc-1112	327	5	air	air	NOUN
sc-1112	327	6	quality	quality	PROPN
sc-1112	327	7	research	research	NOUN
sc-1112	327	8	17.4	17.4	NUM
sc-1112	327	9	,	,	PUNCT
sc-1112	327	10	p.	p.	NOUN
sc-1112	327	11	951	951	NUM
sc-1112	327	12	.	.	PUNCT
sc-1112	328	1	graves	grave	NOUN
sc-1112	328	2	,	,	PUNCT
sc-1112	328	3	alex	alex	PROPN
sc-1112	328	4	and	and	CCONJ
sc-1112	328	5	jürgen	jürgen	PROPN
sc-1112	328	6	schmidhuber	schmidhuber	PROPN
sc-1112	328	7	(	(	PUNCT
sc-1112	328	8	2005	2005	NUM
sc-1112	328	9	)	)	PUNCT
sc-1112	328	10	.	.	PUNCT
sc-1112	329	1	“	"	PUNCT
sc-1112	329	2	framewise	framewise	ADJ
sc-1112	329	3	phoneme	phoneme	NOUN
sc-1112	329	4	classification	classification	NOUN
sc-1112	329	5	with	with	ADP
sc-1112	329	6	bidirectional	bidirectional	ADJ
sc-1112	329	7	lstm	lstm	NOUN
sc-1112	329	8	and	and	CCONJ
sc-1112	329	9	other	other	ADJ
sc-1112	329	10	neural	neural	ADJ
sc-1112	329	11	network	network	NOUN
sc-1112	329	12	architectures	architecture	NOUN
sc-1112	329	13	”	"	PUNCT
sc-1112	329	14	.	.	PUNCT
sc-1112	330	1	in	in	ADP
sc-1112	330	2	:	:	PUNCT
sc-1112	330	3	neural	neural	ADJ
sc-1112	330	4	networks	network	NOUN
sc-1112	330	5	18.5	18.5	NUM
sc-1112	330	6	-	-	SYM
sc-1112	330	7	6	6	NUM
sc-1112	330	8	,	,	PUNCT
sc-1112	330	9	pp	pp	ADJ
sc-1112	330	10	.	.	PUNCT
sc-1112	331	1	602–610	602–610	NUM
sc-1112	331	2	.	.	PUNCT
sc-1112	332	1	gulliver	gulliver	NOUN
sc-1112	332	2	,	,	PUNCT
sc-1112	332	3	john	john	PROPN
sc-1112	332	4	et	et	PROPN
sc-1112	332	5	al	al	PROPN
sc-1112	332	6	.	.	PROPN
sc-1112	332	7	(	(	PUNCT
sc-1112	332	8	2011	2011	NUM
sc-1112	332	9	)	)	PUNCT
sc-1112	332	10	.	.	PUNCT
sc-1112	333	1	“	"	PUNCT
sc-1112	333	2	comparative	comparative	ADJ
sc-1112	333	3	assessment	assessment	NOUN
sc-1112	333	4	of	of	ADP
sc-1112	333	5	gis	gis	NOUN
sc-1112	333	6	-	-	PUNCT
sc-1112	333	7	based	base	VERB
sc-1112	333	8	methods	method	NOUN
sc-1112	333	9	and	and	CCONJ
sc-1112	333	10	metrics	metric	NOUN
sc-1112	333	11	for	for	ADP
sc-1112	333	12	estimating	estimate	VERB
sc-1112	333	13	long	long	ADJ
sc-1112	333	14	-	-	PUNCT
sc-1112	333	15	term	term	NOUN
sc-1112	333	16	exposures	exposure	NOUN
sc-1112	333	17	to	to	ADP
sc-1112	333	18	air	air	NOUN
sc-1112	333	19	pollution	pollution	NOUN
sc-1112	333	20	”	"	PUNCT
sc-1112	333	21	.	.	PUNCT
sc-1112	334	1	in	in	ADP
sc-1112	334	2	:	:	PUNCT
sc-1112	334	3	atmospheric	atmospheric	ADJ
sc-1112	334	4	environment	environment	NOUN
sc-1112	334	5	45.39	45.39	NUM
sc-1112	334	6	,	,	PUNCT
sc-1112	334	7	pp	pp	ADJ
sc-1112	334	8	.	.	PUNCT
sc-1112	335	1	7072–7080	7072–7080	NUM
sc-1112	335	2	.	.	PUNCT
sc-1112	336	1	gunarathna	gunarathna	PROPN
sc-1112	336	2	,	,	PUNCT
sc-1112	336	3	mhjp	mhjp	PROPN
sc-1112	336	4	,	,	PUNCT
sc-1112	336	5	mkn	mkn	X
sc-1112	336	6	kumari	kumari	PROPN
sc-1112	336	7	,	,	PUNCT
sc-1112	336	8	and	and	CCONJ
sc-1112	336	9	kgs	kgs	PROPN
sc-1112	336	10	nirmanee	nirmanee	NOUN
sc-1112	336	11	(	(	PUNCT
sc-1112	336	12	2016	2016	NUM
sc-1112	336	13	)	)	PUNCT
sc-1112	336	14	.	.	PUNCT
sc-1112	337	1	“	"	PUNCT
sc-1112	337	2	evaluation	evaluation	NOUN
sc-1112	337	3	of	of	ADP
sc-1112	337	4	interpolation	interpolation	NOUN
sc-1112	337	5	methods	method	NOUN
sc-1112	337	6	for	for	ADP
sc-1112	337	7	mapping	map	VERB
sc-1112	337	8	ph	ph	NOUN
sc-1112	337	9	of	of	ADP
sc-1112	337	10	groundwater	groundwater	NOUN
sc-1112	337	11	”	"	PUNCT
sc-1112	337	12	.	.	PUNCT
sc-1112	338	1	in	in	ADP
sc-1112	338	2	:	:	PUNCT
sc-1112	338	3	international	international	ADJ
sc-1112	338	4	journal	journal	NOUN
sc-1112	338	5	of	of	ADP
sc-1112	338	6	latest	late	ADJ
sc-1112	338	7	technology	technology	NOUN
sc-1112	338	8	in	in	ADP
sc-1112	338	9	engineering	engineering	NOUN
sc-1112	338	10	,	,	PUNCT
sc-1112	338	11	management	management	NOUN
sc-1112	338	12	&	&	CCONJ
sc-1112	338	13	applied	apply	VERB
sc-1112	338	14	science	science	NOUN
sc-1112	338	15	3	3	NUM
sc-1112	338	16	,	,	PUNCT
sc-1112	338	17	pp	pp	ADJ
sc-1112	338	18	.	.	PUNCT
sc-1112	339	1	1–5	1–5	X
sc-1112	339	2	.	.	X
sc-1112	339	3	hama	hama	PROPN
sc-1112	339	4	,	,	PUNCT
sc-1112	339	5	sarkawt	sarkawt	NOUN
sc-1112	339	6	ml	ml	PROPN
sc-1112	339	7	et	et	PROPN
sc-1112	339	8	al	al	PROPN
sc-1112	339	9	.	.	PROPN
sc-1112	339	10	(	(	PUNCT
sc-1112	339	11	2020	2020	NUM
sc-1112	339	12	)	)	PUNCT
sc-1112	339	13	.	.	PUNCT
sc-1112	340	1	“	"	PUNCT
sc-1112	340	2	four	four	NUM
sc-1112	340	3	-	-	PUNCT
sc-1112	340	4	year	year	NOUN
sc-1112	340	5	assessment	assessment	NOUN
sc-1112	340	6	of	of	ADP
sc-1112	340	7	ambient	ambient	ADJ
sc-1112	340	8	particulate	particulate	NOUN
sc-1112	340	9	matter	matter	NOUN
sc-1112	340	10	and	and	CCONJ
sc-1112	340	11	trace	trace	NOUN
sc-1112	340	12	gases	gas	NOUN
sc-1112	340	13	in	in	ADP
sc-1112	340	14	the	the	DET
sc-1112	340	15	delhincr	delhincr	ADJ
sc-1112	340	16	region	region	NOUN
sc-1112	340	17	of	of	ADP
sc-1112	340	18	india	india	PROPN
sc-1112	340	19	”	"	PUNCT
sc-1112	340	20	.	.	PUNCT
sc-1112	341	1	in	in	ADP
sc-1112	341	2	:	:	PUNCT
sc-1112	341	3	sustainable	sustainable	ADJ
sc-1112	341	4	cities	city	NOUN
sc-1112	341	5	and	and	CCONJ
sc-1112	341	6	society	society	NOUN
sc-1112	341	7	54	54	NUM
sc-1112	341	8	,	,	PUNCT
sc-1112	341	9	p.	p.	NOUN
sc-1112	341	10	102003	102003	NUM
sc-1112	341	11	.	.	PUNCT
sc-1112	342	1	huang	huang	PROPN
sc-1112	342	2	,	,	PUNCT
sc-1112	342	3	chiou	chiou	NOUN
sc-1112	342	4	-	-	PUNCT
sc-1112	342	5	jye	jye	VERB
sc-1112	342	6	and	and	CCONJ
sc-1112	342	7	ping	ping	PROPN
sc-1112	342	8	-	-	PUNCT
sc-1112	342	9	huan	huan	PROPN
sc-1112	342	10	kuo	kuo	PROPN
sc-1112	342	11	(	(	PUNCT
sc-1112	342	12	2018	2018	NUM
sc-1112	342	13	)	)	PUNCT
sc-1112	342	14	.	.	PUNCT
sc-1112	343	1	“	"	PUNCT
sc-1112	343	2	a	a	DET
sc-1112	343	3	deep	deep	ADJ
sc-1112	343	4	cnnlstm	cnnlstm	NOUN
sc-1112	343	5	model	model	NOUN
sc-1112	343	6	for	for	ADP
sc-1112	343	7	particulate	particulate	NOUN
sc-1112	343	8	matter	matter	NOUN
sc-1112	343	9	(	(	PUNCT
sc-1112	343	10	pm2	pm2	NOUN
sc-1112	343	11	.	.	NOUN
sc-1112	343	12	5	5	X
sc-1112	343	13	)	)	PUNCT
sc-1112	343	14	forecasting	forecasting	NOUN
sc-1112	343	15	in	in	ADP
sc-1112	343	16	smart	smart	ADJ
sc-1112	343	17	cities	city	NOUN
sc-1112	343	18	”	"	PUNCT
sc-1112	343	19	.	.	PUNCT
sc-1112	344	1	in	in	ADP
sc-1112	344	2	:	:	PUNCT
sc-1112	344	3	sensors	sensor	NOUN
sc-1112	344	4	18.7	18.7	NUM
sc-1112	344	5	,	,	PUNCT
sc-1112	344	6	p.	p.	NOUN
sc-1112	344	7	2220	2220	NUM
sc-1112	344	8	.	.	PUNCT
sc-1112	345	1	krivoruchko	krivoruchko	PROPN
sc-1112	345	2	,	,	PUNCT
sc-1112	345	3	konstantin	konstantin	PROPN
sc-1112	345	4	and	and	CCONJ
sc-1112	345	5	alexander	alexander	PROPN
sc-1112	345	6	gribov	gribov	PROPN
sc-1112	345	7	(	(	PUNCT
sc-1112	345	8	2019	2019	NUM
sc-1112	345	9	)	)	PUNCT
sc-1112	345	10	.	.	PUNCT
sc-1112	346	1	“	"	PUNCT
sc-1112	346	2	evaluation	evaluation	NOUN
sc-1112	346	3	of	of	ADP
sc-1112	346	4	empirical	empirical	ADJ
sc-1112	346	5	bayesian	bayesian	NOUN
sc-1112	346	6	kriging	krige	VERB
sc-1112	346	7	”	"	PUNCT
sc-1112	346	8	.	.	PUNCT
sc-1112	347	1	in	in	ADP
sc-1112	347	2	:	:	PUNCT
sc-1112	347	3	spatial	spatial	ADJ
sc-1112	347	4	statistics	statistic	NOUN
sc-1112	347	5	32	32	NUM
sc-1112	347	6	,	,	PUNCT
sc-1112	347	7	p.	p.	NOUN
sc-1112	347	8	100368	100368	NUM
sc-1112	347	9	.	.	PUNCT
sc-1112	348	1	lee	lee	PROPN
sc-1112	348	2	,	,	PUNCT
sc-1112	348	3	muhammad	muhammad	PROPN
sc-1112	348	4	hisyam	hisyam	PROPN
sc-1112	348	5	et	et	PROPN
sc-1112	348	6	al	al	PROPN
sc-1112	348	7	.	.	PROPN
sc-1112	348	8	(	(	PUNCT
sc-1112	348	9	2012	2012	NUM
sc-1112	348	10	)	)	PUNCT
sc-1112	348	11	.	.	PUNCT
sc-1112	349	1	“	"	PUNCT
sc-1112	349	2	seasonal	seasonal	ADJ
sc-1112	349	3	arima	arima	NOUN
sc-1112	349	4	for	for	ADP
sc-1112	349	5	forecasting	forecast	VERB
sc-1112	349	6	air	air	NOUN
sc-1112	349	7	pollution	pollution	PROPN
sc-1112	349	8	index	index	NOUN
sc-1112	349	9	:	:	PUNCT
sc-1112	349	10	a	a	DET
sc-1112	349	11	case	case	NOUN
sc-1112	349	12	study	study	NOUN
sc-1112	349	13	”	"	PUNCT
sc-1112	349	14	.	.	PUNCT
sc-1112	350	1	in	in	ADP
sc-1112	350	2	:	:	PUNCT
sc-1112	350	3	american	american	ADJ
sc-1112	350	4	journal	journal	PROPN
sc-1112	350	5	of	of	ADP
sc-1112	350	6	applied	apply	VERB
sc-1112	350	7	sciences	science	NOUN
sc-1112	350	8	9.4	9.4	NUM
sc-1112	350	9	,	,	PUNCT
sc-1112	350	10	pp	pp	ADJ
sc-1112	350	11	.	.	PUNCT
sc-1112	351	1	570–578	570–578	NUM
sc-1112	351	2	.	.	PUNCT
sc-1112	352	1	lee	lee	PROPN
sc-1112	352	2	,	,	PUNCT
sc-1112	352	3	nam	nam	PROPN
sc-1112	352	4	-	-	PROPN
sc-1112	352	5	uk	uk	PROPN
sc-1112	352	6	et	et	PROPN
sc-1112	352	7	al	al	PROPN
sc-1112	352	8	.	.	PUNCT
sc-1112	352	9	(	(	PUNCT
sc-1112	352	10	2018	2018	NUM
sc-1112	352	11	)	)	PUNCT
sc-1112	352	12	.	.	PUNCT
sc-1112	353	1	“	"	PUNCT
sc-1112	353	2	design	design	NOUN
sc-1112	353	3	and	and	CCONJ
sc-1112	353	4	implementation	implementation	NOUN
sc-1112	353	5	of	of	ADP
sc-1112	353	6	the	the	DET
sc-1112	353	7	sarima	sarima	NOUN
sc-1112	353	8	–	–	PUNCT
sc-1112	353	9	svm	svm	PROPN
sc-1112	353	10	time	time	NOUN
sc-1112	353	11	series	series	PROPN
sc-1112	353	12	analysis	analysis	NOUN
sc-1112	353	13	algorithm	algorithm	NOUN
sc-1112	353	14	for	for	ADP
sc-1112	353	15	the	the	DET
sc-1112	353	16	improvement	improvement	NOUN
sc-1112	353	17	of	of	ADP
sc-1112	353	18	atmospheric	atmospheric	ADJ
sc-1112	353	19	environment	environment	NOUN
sc-1112	353	20	forecast	forecast	NOUN
sc-1112	353	21	accuracy	accuracy	NOUN
sc-1112	353	22	”	"	PUNCT
sc-1112	353	23	.	.	PUNCT
sc-1112	354	1	in	in	ADP
sc-1112	354	2	:	:	PUNCT
sc-1112	354	3	soft	soft	ADJ
sc-1112	354	4	computing	compute	VERB
sc-1112	354	5	22.13	22.13	NUM
sc-1112	354	6	,	,	PUNCT
sc-1112	354	7	pp	pp	PROPN
sc-1112	354	8	.	.	PUNCT
sc-1112	354	9	4275–4281	4275–4281	NUM
sc-1112	354	10	.	.	PUNCT
sc-1112	354	11	mbuh	mbuh	NOUN
sc-1112	354	12	,	,	PUNCT
sc-1112	354	13	mbongowo	mbongowo	PROPN
sc-1112	354	14	et	et	PROPN
sc-1112	354	15	al	al	PROPN
sc-1112	354	16	.	.	PROPN
sc-1112	354	17	(	(	PUNCT
sc-1112	354	18	2020	2020	NUM
sc-1112	354	19	)	)	PUNCT
sc-1112	354	20	.	.	PUNCT
sc-1112	355	1	“	"	PUNCT
sc-1112	355	2	application	application	NOUN
sc-1112	355	3	of	of	ADP
sc-1112	355	4	real	real	ADJ
sc-1112	355	5	-	-	PUNCT
sc-1112	355	6	time	time	NOUN
sc-1112	355	7	gis	gis	PROPN
sc-1112	355	8	analytics	analytic	NOUN
sc-1112	355	9	to	to	PART
sc-1112	355	10	support	support	VERB
sc-1112	355	11	spatial	spatial	ADJ
sc-1112	355	12	intelligent	intelligent	ADJ
sc-1112	355	13	decision	decision	NOUN
sc-1112	355	14	-	-	PUNCT
sc-1112	355	15	making	make	VERB
sc-1112	355	16	10	10	NUM
sc-1112	355	17	eai	eai	PROPN
sc-1112	355	18	endorsed	endorse	VERB
sc-1112	355	19	transactions	transaction	NOUN
sc-1112	355	20	on	on	ADP
sc-1112	355	21	smart	smart	ADJ
sc-1112	355	22	cities	city	NOUN
sc-1112	355	23	01	01	NUM
sc-1112	355	24	2021	2021	NUM
sc-1112	355	25	04	04	NUM
sc-1112	355	26	2021	2021	NUM
sc-1112	355	27	|	|	ADV
sc-1112	355	28	volume	volume	NOUN
sc-1112	355	29	5	5	NUM
sc-1112	355	30	|	|	ADV
sc-1112	355	31	issue	issue	VERB
sc-1112	355	32	14	14	NUM
sc-1112	355	33	|	|	ADV
sc-1112	355	34	e4	e4	PROPN
sc-1112	355	35	spatio	spatio	NOUN
sc-1112	355	36	-	-	PUNCT
sc-1112	355	37	temporal	temporal	ADJ
sc-1112	355	38	prediction	prediction	NOUN
sc-1112	355	39	of	of	ADP
sc-1112	355	40	air	air	NOUN
sc-1112	355	41	quality	quality	NOUN
sc-1112	355	42	using	use	VERB
sc-1112	355	43	distance	distance	NOUN
sc-1112	355	44	based	base	VERB
sc-1112	355	45	interpolation	interpolation	NOUN
sc-1112	355	46	and	and	CCONJ
sc-1112	355	47	deep	deep	ADJ
sc-1112	355	48	learning	learning	NOUN
sc-1112	355	49	techniques	technique	NOUN
sc-1112	355	50	in	in	ADP
sc-1112	355	51	the	the	DET
sc-1112	355	52	era	era	NOUN
sc-1112	355	53	of	of	ADP
sc-1112	355	54	big	big	ADJ
sc-1112	355	55	data	datum	NOUN
sc-1112	355	56	for	for	ADP
sc-1112	355	57	smart	smart	ADJ
sc-1112	355	58	cities	city	NOUN
sc-1112	355	59	”	"	PUNCT
sc-1112	355	60	.	.	PUNCT
sc-1112	356	1	in	in	ADP
sc-1112	356	2	:	:	PUNCT
sc-1112	356	3	eai	eai	PROPN
sc-1112	356	4	endorsed	endorse	VERB
sc-1112	356	5	transactions	transaction	NOUN
sc-1112	356	6	on	on	ADP
sc-1112	356	7	smart	smart	ADJ
sc-1112	356	8	cities	city	NOUN
sc-1112	356	9	4.9	4.9	NUM
sc-1112	356	10	.	.	PUNCT
sc-1112	356	11	mckendry	mckendry	PROPN
sc-1112	356	12	,	,	PUNCT
sc-1112	356	13	ian	ian	PROPN
sc-1112	356	14	g	g	PROPN
sc-1112	356	15	(	(	PUNCT
sc-1112	356	16	2002	2002	NUM
sc-1112	356	17	)	)	PUNCT
sc-1112	356	18	.	.	PUNCT
sc-1112	357	1	“	"	PUNCT
sc-1112	357	2	evaluation	evaluation	NOUN
sc-1112	357	3	of	of	ADP
sc-1112	357	4	artificial	artificial	ADJ
sc-1112	357	5	neural	neural	ADJ
sc-1112	357	6	networks	network	NOUN
sc-1112	357	7	for	for	ADP
sc-1112	357	8	fine	fine	ADJ
sc-1112	357	9	particulate	particulate	NOUN
sc-1112	357	10	pollution	pollution	NOUN
sc-1112	357	11	(	(	PUNCT
sc-1112	357	12	pm10	pm10	PROPN
sc-1112	357	13	and	and	CCONJ
sc-1112	357	14	pm2	pm2	NOUN
sc-1112	357	15	.	.	NOUN
sc-1112	358	1	5	5	NUM
sc-1112	358	2	)	)	PUNCT
sc-1112	358	3	forecasting	forecasting	NOUN
sc-1112	358	4	”	"	PUNCT
sc-1112	358	5	.	.	PUNCT
sc-1112	359	1	in	in	ADP
sc-1112	359	2	:	:	PUNCT
sc-1112	359	3	journal	journal	NOUN
sc-1112	359	4	of	of	ADP
sc-1112	359	5	the	the	DET
sc-1112	359	6	air	air	PROPN
sc-1112	359	7	&	&	CCONJ
sc-1112	359	8	waste	waste	PROPN
sc-1112	359	9	management	management	PROPN
sc-1112	359	10	association	association	PROPN
sc-1112	359	11	52.9	52.9	NUM
sc-1112	359	12	,	,	PUNCT
sc-1112	359	13	pp	pp	ADJ
sc-1112	359	14	.	.	PUNCT
sc-1112	359	15	1096–1101	1096–1101	NUM
sc-1112	359	16	.	.	PUNCT
sc-1112	360	1	nayak	nayak	PROPN
sc-1112	360	2	,	,	PUNCT
sc-1112	360	3	tapaswini	tapaswini	PROPN
sc-1112	360	4	and	and	CCONJ
sc-1112	360	5	indrani	indrani	PROPN
sc-1112	360	6	roy	roy	PROPN
sc-1112	360	7	chowdhury	chowdhury	PROPN
sc-1112	360	8	(	(	PUNCT
sc-1112	360	9	2018	2018	NUM
sc-1112	360	10	)	)	PUNCT
sc-1112	360	11	.	.	PUNCT
sc-1112	361	1	“	"	PUNCT
sc-1112	361	2	health	health	NOUN
sc-1112	361	3	damages	damage	NOUN
sc-1112	361	4	from	from	ADP
sc-1112	361	5	air	air	NOUN
sc-1112	361	6	pollution	pollution	NOUN
sc-1112	361	7	:	:	PUNCT
sc-1112	361	8	evidence	evidence	NOUN
sc-1112	361	9	from	from	ADP
sc-1112	361	10	open	open	ADJ
sc-1112	361	11	cast	cast	VERB
sc-1112	361	12	coal	coal	NOUN
sc-1112	361	13	mining	mining	NOUN
sc-1112	361	14	region	region	NOUN
sc-1112	361	15	of	of	ADP
sc-1112	361	16	odisha	odisha	PROPN
sc-1112	361	17	,	,	PUNCT
sc-1112	361	18	india	india	PROPN
sc-1112	361	19	”	"	PUNCT
sc-1112	361	20	.	.	PUNCT
sc-1112	362	1	in	in	ADP
sc-1112	362	2	:	:	PUNCT
sc-1112	362	3	ecology	ecology	NOUN
sc-1112	362	4	1.1	1.1	NUM
sc-1112	362	5	,	,	PUNCT
sc-1112	362	6	pp	pp	ADJ
sc-1112	362	7	.	.	PUNCT
sc-1112	363	1	42–66	42–66	NUM
sc-1112	363	2	.	.	PUNCT
sc-1112	364	1	nevtipilova	nevtipilova	PROPN
sc-1112	364	2	,	,	PUNCT
sc-1112	364	3	veronika	veronika	PROPN
sc-1112	364	4	et	et	PROPN
sc-1112	364	5	al	al	PROPN
sc-1112	364	6	.	.	PROPN
sc-1112	364	7	(	(	PUNCT
sc-1112	364	8	2014	2014	NUM
sc-1112	364	9	)	)	PUNCT
sc-1112	364	10	.	.	PUNCT
sc-1112	365	1	“	"	PUNCT
sc-1112	365	2	testing	test	VERB
sc-1112	365	3	artificial	artificial	ADJ
sc-1112	365	4	neural	neural	ADJ
sc-1112	365	5	network	network	NOUN
sc-1112	365	6	(	(	PUNCT
sc-1112	365	7	ann	ann	PROPN
sc-1112	365	8	)	)	PUNCT
sc-1112	365	9	for	for	ADP
sc-1112	365	10	spatial	spatial	ADJ
sc-1112	365	11	interpolation	interpolation	NOUN
sc-1112	365	12	”	"	PUNCT
sc-1112	365	13	.	.	PUNCT
sc-1112	366	1	in	in	ADP
sc-1112	366	2	:	:	PUNCT
sc-1112	366	3	journal	journal	NOUN
sc-1112	366	4	of	of	ADP
sc-1112	366	5	geology	geology	NOUN
sc-1112	366	6	&	&	CCONJ
sc-1112	366	7	geophysics	geophysic	NOUN
sc-1112	366	8	3.2	3.2	NUM
sc-1112	366	9	,	,	PUNCT
sc-1112	366	10	pp	pp	ADJ
sc-1112	366	11	.	.	PUNCT
sc-1112	366	12	01–09	01–09	PROPN
sc-1112	366	13	.	.	PUNCT
sc-1112	367	1	o’shea	o’shea	PROPN
sc-1112	367	2	,	,	PUNCT
sc-1112	367	3	keiron	keiron	NOUN
sc-1112	367	4	and	and	CCONJ
sc-1112	367	5	ryan	ryan	PROPN
sc-1112	367	6	nash	nash	PROPN
sc-1112	367	7	(	(	PUNCT
sc-1112	367	8	2015	2015	NUM
sc-1112	367	9	)	)	PUNCT
sc-1112	367	10	.	.	PUNCT
sc-1112	368	1	“	"	PUNCT
sc-1112	368	2	an	an	DET
sc-1112	368	3	introduction	introduction	NOUN
sc-1112	368	4	to	to	ADP
sc-1112	368	5	convolutional	convolutional	ADJ
sc-1112	368	6	neural	neural	ADJ
sc-1112	368	7	networks	network	NOUN
sc-1112	368	8	”	"	PUNCT
sc-1112	368	9	.	.	PUNCT
sc-1112	369	1	in	in	ADP
sc-1112	369	2	:	:	PUNCT
sc-1112	369	3	arxiv	arxiv	PROPN
sc-1112	369	4	preprint	preprint	NOUN
sc-1112	369	5	arxiv:1511.08458	arxiv:1511.08458	PROPN
sc-1112	369	6	.	.	PUNCT
sc-1112	370	1	odisha	odisha	PROPN
sc-1112	370	2	information	information	PROPN
sc-1112	370	3	technology	technology	PROPN
sc-1112	370	4	department	department	PROPN
sc-1112	370	5	,	,	PUNCT
sc-1112	370	6	odisha	odisha	PROPN
sc-1112	370	7	(	(	PUNCT
sc-1112	370	8	2017	2017	NUM
sc-1112	370	9	,	,	PUNCT
sc-1112	370	10	oct	oct	PROPN
sc-1112	370	11	16	16	NUM
sc-1112	370	12	)	)	PUNCT
sc-1112	370	13	.	.	PUNCT
sc-1112	371	1	ambient	ambient	ADJ
sc-1112	371	2	air	air	NOUN
sc-1112	371	3	quality	quality	PROPN
sc-1112	371	4	data	datum	NOUN
sc-1112	371	5	of	of	ADP
sc-1112	371	6	odisha	odisha	PROPN
sc-1112	371	7	.	.	PUNCT
sc-1112	371	8	url	url	PROPN
sc-1112	371	9	:	:	PUNCT
sc-1112	371	10	https	https	NOUN
sc-1112	371	11	:	:	PUNCT
sc-1112	371	12	//data.gov.in/.	//data.gov.in/.	PROPN
sc-1112	371	13	pan	pan	NOUN
sc-1112	371	14	,	,	PUNCT
sc-1112	371	15	bingyue	bingyue	NOUN
sc-1112	371	16	(	(	PUNCT
sc-1112	371	17	2018	2018	NUM
sc-1112	371	18	)	)	PUNCT
sc-1112	371	19	.	.	PUNCT
sc-1112	372	1	“	"	PUNCT
sc-1112	372	2	application	application	NOUN
sc-1112	372	3	of	of	ADP
sc-1112	372	4	xgboost	xgboost	ADJ
sc-1112	372	5	algorithm	algorithm	NOUN
sc-1112	372	6	in	in	ADP
sc-1112	372	7	hourly	hourly	ADJ
sc-1112	372	8	pm2	pm2	NOUN
sc-1112	372	9	.	.	PUNCT
sc-1112	372	10	5	5	NUM
sc-1112	372	11	concentration	concentration	NOUN
sc-1112	372	12	prediction	prediction	NOUN
sc-1112	372	13	”	"	PUNCT
sc-1112	372	14	.	.	PUNCT
sc-1112	373	1	in	in	ADP
sc-1112	373	2	:	:	PUNCT
sc-1112	373	3	iop	iop	PROPN
sc-1112	373	4	conference	conference	PROPN
sc-1112	373	5	series	series	PROPN
sc-1112	373	6	:	:	PUNCT
sc-1112	373	7	earth	earth	NOUN
sc-1112	373	8	and	and	CCONJ
sc-1112	373	9	environmental	environmental	ADJ
sc-1112	373	10	science	science	NOUN
sc-1112	373	11	.	.	PUNCT
sc-1112	374	1	vol	vol	NOUN
sc-1112	374	2	.	.	PROPN
sc-1112	374	3	113	113	NUM
sc-1112	374	4	.	.	X
sc-1112	375	1	1	1	X
sc-1112	375	2	.	.	X
sc-1112	375	3	iop	iop	NOUN
sc-1112	375	4	publishing	publishing	NOUN
sc-1112	375	5	,	,	PUNCT
sc-1112	375	6	p.	p.	NOUN
sc-1112	375	7	012127	012127	NUM
sc-1112	375	8	.	.	PUNCT
sc-1112	376	1	pant	pant	NOUN
sc-1112	376	2	,	,	PUNCT
sc-1112	376	3	pallavi	pallavi	NOUN
sc-1112	376	4	,	,	PUNCT
sc-1112	376	5	sarath	sarath	PROPN
sc-1112	376	6	k	k	PROPN
sc-1112	376	7	guttikunda	guttikunda	PROPN
sc-1112	376	8	,	,	PUNCT
sc-1112	376	9	and	and	CCONJ
sc-1112	376	10	richard	richard	PROPN
sc-1112	376	11	e	e	PROPN
sc-1112	376	12	peltier	peltier	NOUN
sc-1112	376	13	(	(	PUNCT
sc-1112	376	14	2016	2016	NUM
sc-1112	376	15	)	)	PUNCT
sc-1112	376	16	.	.	PUNCT
sc-1112	377	1	“	"	PUNCT
sc-1112	377	2	exposure	exposure	NOUN
sc-1112	377	3	to	to	ADP
sc-1112	377	4	particulate	particulate	NOUN
sc-1112	377	5	matter	matter	NOUN
sc-1112	377	6	in	in	ADP
sc-1112	377	7	india	india	PROPN
sc-1112	377	8	:	:	PUNCT
sc-1112	377	9	a	a	DET
sc-1112	377	10	synthesis	synthesis	NOUN
sc-1112	377	11	of	of	ADP
sc-1112	377	12	findings	finding	NOUN
sc-1112	377	13	and	and	CCONJ
sc-1112	377	14	future	future	ADJ
sc-1112	377	15	directions	direction	NOUN
sc-1112	377	16	”	"	PUNCT
sc-1112	377	17	.	.	PUNCT
sc-1112	378	1	in	in	ADP
sc-1112	378	2	:	:	PUNCT
sc-1112	378	3	environmental	environmental	ADJ
sc-1112	378	4	research	research	NOUN
sc-1112	378	5	147	147	NUM
sc-1112	378	6	,	,	PUNCT
sc-1112	378	7	pp	pp	ADJ
sc-1112	378	8	.	.	PUNCT
sc-1112	379	1	480–496	480–496	NUM
sc-1112	379	2	.	.	PUNCT
sc-1112	380	1	safavian	safavian	ADJ
sc-1112	380	2	,	,	PUNCT
sc-1112	380	3	s	s	VERB
sc-1112	380	4	rasoul	rasoul	ADJ
sc-1112	380	5	and	and	CCONJ
sc-1112	380	6	david	david	PROPN
sc-1112	380	7	landgrebe	landgrebe	PROPN
sc-1112	380	8	(	(	PUNCT
sc-1112	380	9	1991	1991	NUM
sc-1112	380	10	)	)	PUNCT
sc-1112	380	11	.	.	PUNCT
sc-1112	381	1	“	"	PUNCT
sc-1112	381	2	a	a	DET
sc-1112	381	3	survey	survey	NOUN
sc-1112	381	4	of	of	ADP
sc-1112	381	5	decision	decision	NOUN
sc-1112	381	6	tree	tree	NOUN
sc-1112	381	7	classifier	classifier	NOUN
sc-1112	381	8	methodology	methodology	PROPN
sc-1112	381	9	”	"	PUNCT
sc-1112	381	10	.	.	PUNCT
sc-1112	382	1	in	in	ADP
sc-1112	382	2	:	:	PUNCT
sc-1112	382	3	ieee	ieee	NOUN
sc-1112	382	4	transactions	transaction	NOUN
sc-1112	382	5	on	on	ADP
sc-1112	382	6	systems	system	NOUN
sc-1112	382	7	,	,	PUNCT
sc-1112	382	8	man	man	NOUN
sc-1112	382	9	,	,	PUNCT
sc-1112	382	10	and	and	CCONJ
sc-1112	382	11	cybernetics	cybernetic	NOUN
sc-1112	382	12	21.3	21.3	NUM
sc-1112	382	13	,	,	PUNCT
sc-1112	382	14	pp	pp	ADJ
sc-1112	382	15	.	.	PUNCT
sc-1112	383	1	660–674	660–674	NUM
sc-1112	383	2	.	.	PUNCT
sc-1112	384	1	saide	saide	NOUN
sc-1112	384	2	,	,	PUNCT
sc-1112	384	3	pablo	pablo	PROPN
sc-1112	384	4	e	e	PROPN
sc-1112	384	5	et	et	PROPN
sc-1112	384	6	al	al	PROPN
sc-1112	384	7	.	.	PUNCT
sc-1112	385	1	(	(	PUNCT
sc-1112	385	2	2011	2011	NUM
sc-1112	385	3	)	)	PUNCT
sc-1112	385	4	.	.	PUNCT
sc-1112	386	1	“	"	PUNCT
sc-1112	386	2	forecasting	forecast	VERB
sc-1112	386	3	urban	urban	ADJ
sc-1112	386	4	pm10	pm10	PROPN
sc-1112	386	5	and	and	CCONJ
sc-1112	386	6	pm2	pm2	PROPN
sc-1112	386	7	.	.	PUNCT
sc-1112	387	1	5	5	NUM
sc-1112	387	2	pollution	pollution	NOUN
sc-1112	387	3	episodes	episode	NOUN
sc-1112	387	4	in	in	ADP
sc-1112	387	5	very	very	ADV
sc-1112	387	6	stable	stable	ADJ
sc-1112	387	7	nocturnal	nocturnal	ADJ
sc-1112	387	8	conditions	condition	NOUN
sc-1112	387	9	and	and	CCONJ
sc-1112	387	10	complex	complex	ADJ
sc-1112	387	11	terrain	terrain	NOUN
sc-1112	387	12	using	use	VERB
sc-1112	387	13	wrf	wrf	PROPN
sc-1112	387	14	–	–	PUNCT
sc-1112	387	15	chem	chem	NOUN
sc-1112	387	16	co	co	NOUN
sc-1112	387	17	tracer	tracer	PROPN
sc-1112	387	18	model	model	NOUN
sc-1112	387	19	”	"	PUNCT
sc-1112	387	20	.	.	PUNCT
sc-1112	388	1	in	in	ADP
sc-1112	388	2	:	:	PUNCT
sc-1112	388	3	atmospheric	atmospheric	ADJ
sc-1112	388	4	environment	environment	NOUN
sc-1112	388	5	45.16	45.16	NUM
sc-1112	388	6	,	,	PUNCT
sc-1112	388	7	pp	pp	ADJ
sc-1112	388	8	.	.	PUNCT
sc-1112	388	9	2769–2780	2769–2780	NUM
sc-1112	388	10	.	.	PUNCT
sc-1112	388	11	samal	samal	PROPN
sc-1112	388	12	,	,	PUNCT
sc-1112	388	13	k	k	PROPN
sc-1112	388	14	krishna	krishna	PROPN
sc-1112	388	15	rani	rani	PROPN
sc-1112	388	16	,	,	PUNCT
sc-1112	388	17	korra	korra	PROPN
sc-1112	388	18	sathya	sathya	PROPN
sc-1112	388	19	babu	babu	PROPN
sc-1112	388	20	,	,	PUNCT
sc-1112	388	21	and	and	CCONJ
sc-1112	388	22	santos	santos	PROPN
sc-1112	388	23	kumar	kumar	PROPN
sc-1112	388	24	das	das	PROPN
sc-1112	388	25	(	(	PUNCT
sc-1112	388	26	2020	2020	NUM
sc-1112	388	27	)	)	PUNCT
sc-1112	388	28	.	.	PUNCT
sc-1112	389	1	“	"	PUNCT
sc-1112	389	2	ors	or	NOUN
sc-1112	389	3	:	:	PUNCT
sc-1112	389	4	the	the	DET
sc-1112	389	5	optimal	optimal	ADJ
sc-1112	389	6	routing	routing	NOUN
sc-1112	389	7	solution	solution	NOUN
sc-1112	389	8	for	for	ADP
sc-1112	389	9	smart	smart	ADJ
sc-1112	389	10	city	city	NOUN
sc-1112	389	11	users	user	NOUN
sc-1112	389	12	”	"	PUNCT
sc-1112	389	13	.	.	PUNCT
sc-1112	390	1	in	in	ADP
sc-1112	390	2	:	:	PUNCT
sc-1112	390	3	electronic	electronic	ADJ
sc-1112	390	4	systems	system	NOUN
sc-1112	390	5	and	and	CCONJ
sc-1112	390	6	intelligent	intelligent	ADJ
sc-1112	390	7	computing	computing	NOUN
sc-1112	390	8	.	.	PUNCT
sc-1112	391	1	springer	springer	NOUN
sc-1112	391	2	,	,	PUNCT
sc-1112	391	3	pp	pp	ADP
sc-1112	391	4	.	.	PUNCT
sc-1112	392	1	177–186	177–186	NUM
sc-1112	392	2	.	.	PUNCT
sc-1112	393	1	samal	samal	PROPN
sc-1112	393	2	,	,	PUNCT
sc-1112	393	3	k	k	PROPN
sc-1112	393	4	krishna	krishna	PROPN
sc-1112	393	5	rani	rani	PROPN
sc-1112	393	6	,	,	PUNCT
sc-1112	393	7	korra	korra	PROPN
sc-1112	393	8	sathya	sathya	PROPN
sc-1112	393	9	babu	babu	PROPN
sc-1112	393	10	,	,	PUNCT
sc-1112	393	11	santosh	santosh	PROPN
sc-1112	393	12	kumar	kumar	PROPN
sc-1112	393	13	das	das	PROPN
sc-1112	393	14	,	,	PUNCT
sc-1112	393	15	et	et	PROPN
sc-1112	393	16	al	al	PROPN
sc-1112	393	17	.	.	PROPN
sc-1112	394	1	(	(	PUNCT
sc-1112	394	2	2019	2019	NUM
sc-1112	394	3	)	)	PUNCT
sc-1112	394	4	.	.	PUNCT
sc-1112	395	1	“	"	PUNCT
sc-1112	395	2	time	time	NOUN
sc-1112	395	3	series	series	PROPN
sc-1112	395	4	based	base	VERB
sc-1112	395	5	air	air	NOUN
sc-1112	395	6	pollution	pollution	NOUN
sc-1112	395	7	forecasting	forecasting	NOUN
sc-1112	395	8	using	use	VERB
sc-1112	395	9	sarima	sarima	NOUN
sc-1112	395	10	and	and	CCONJ
sc-1112	395	11	prophet	prophet	NOUN
sc-1112	395	12	model	model	NOUN
sc-1112	395	13	”	"	PUNCT
sc-1112	395	14	.	.	PUNCT
sc-1112	396	1	in	in	ADP
sc-1112	396	2	:	:	PUNCT
sc-1112	396	3	proceedings	proceeding	NOUN
sc-1112	396	4	of	of	ADP
sc-1112	396	5	the	the	DET
sc-1112	396	6	2019	2019	NUM
sc-1112	396	7	international	international	ADJ
sc-1112	396	8	conference	conference	NOUN
sc-1112	396	9	on	on	ADP
sc-1112	396	10	information	information	NOUN
sc-1112	396	11	technology	technology	NOUN
sc-1112	396	12	and	and	CCONJ
sc-1112	396	13	computer	computer	NOUN
sc-1112	396	14	communications	communication	NOUN
sc-1112	396	15	,	,	PUNCT
sc-1112	396	16	pp	pp	ADV
sc-1112	396	17	.	.	PUNCT
sc-1112	396	18	80–85	80–85	NUM
sc-1112	396	19	.	.	PUNCT
sc-1112	397	1	shaban	shaban	PROPN
sc-1112	397	2	,	,	PUNCT
sc-1112	397	3	khaled	khaled	PROPN
sc-1112	397	4	bashir	bashir	PROPN
sc-1112	397	5	,	,	PUNCT
sc-1112	397	6	abdullah	abdullah	PROPN
sc-1112	397	7	kadri	kadri	PROPN
sc-1112	397	8	,	,	PUNCT
sc-1112	397	9	and	and	CCONJ
sc-1112	397	10	eman	eman	PROPN
sc-1112	397	11	rezk	rezk	PROPN
sc-1112	397	12	(	(	PUNCT
sc-1112	397	13	2016	2016	NUM
sc-1112	397	14	)	)	PUNCT
sc-1112	397	15	.	.	PUNCT
sc-1112	398	1	“	"	PUNCT
sc-1112	398	2	urban	urban	ADJ
sc-1112	398	3	air	air	NOUN
sc-1112	398	4	pollution	pollution	NOUN
sc-1112	398	5	monitoring	monitoring	NOUN
sc-1112	398	6	system	system	NOUN
sc-1112	398	7	with	with	ADP
sc-1112	398	8	forecasting	forecasting	NOUN
sc-1112	398	9	models	model	NOUN
sc-1112	398	10	”	"	PUNCT
sc-1112	398	11	.	.	PUNCT
sc-1112	399	1	in	in	ADP
sc-1112	399	2	:	:	PUNCT
sc-1112	399	3	ieee	ieee	NOUN
sc-1112	399	4	sensors	sensor	NOUN
sc-1112	399	5	journal	journal	PROPN
sc-1112	399	6	16.8	16.8	NUM
sc-1112	399	7	,	,	PUNCT
sc-1112	399	8	pp	pp	ADJ
sc-1112	399	9	.	.	PUNCT
sc-1112	399	10	2598–2606	2598–2606	NUM
sc-1112	399	11	.	.	PUNCT
sc-1112	400	1	sharma	sharma	PROPN
sc-1112	400	2	,	,	PUNCT
sc-1112	400	3	anu	anu	PROPN
sc-1112	400	4	rani	rani	PROPN
sc-1112	400	5	,	,	PUNCT
sc-1112	400	6	shailesh	shailesh	PROPN
sc-1112	400	7	kumar	kumar	PROPN
sc-1112	400	8	kharol	kharol	PROPN
sc-1112	400	9	,	,	PUNCT
sc-1112	400	10	and	and	CCONJ
sc-1112	400	11	kvs	kvs	PROPN
sc-1112	400	12	badarinath	badarinath	PROPN
sc-1112	400	13	(	(	PUNCT
sc-1112	400	14	2010	2010	NUM
sc-1112	400	15	)	)	PUNCT
sc-1112	400	16	.	.	PUNCT
sc-1112	401	1	“	"	PUNCT
sc-1112	401	2	influence	influence	NOUN
sc-1112	401	3	of	of	ADP
sc-1112	401	4	vehicular	vehicular	ADJ
sc-1112	401	5	traffic	traffic	NOUN
sc-1112	401	6	on	on	ADP
sc-1112	401	7	urban	urban	ADJ
sc-1112	401	8	air	air	NOUN
sc-1112	401	9	quality	quality	NOUN
sc-1112	401	10	–	–	PUNCT
sc-1112	401	11	a	a	DET
sc-1112	401	12	case	case	NOUN
sc-1112	401	13	study	study	NOUN
sc-1112	401	14	of	of	ADP
sc-1112	401	15	hyderabad	hyderabad	PROPN
sc-1112	401	16	,	,	PUNCT
sc-1112	401	17	india	india	PROPN
sc-1112	401	18	”	"	PUNCT
sc-1112	401	19	.	.	PUNCT
sc-1112	402	1	in	in	ADP
sc-1112	402	2	:	:	PUNCT
sc-1112	402	3	transportation	transportation	NOUN
sc-1112	402	4	research	research	NOUN
sc-1112	402	5	part	part	NOUN
sc-1112	402	6	d	d	NOUN
sc-1112	402	7	:	:	PUNCT
sc-1112	402	8	transport	transport	NOUN
sc-1112	402	9	and	and	CCONJ
sc-1112	402	10	environment	environment	NOUN
sc-1112	402	11	15.3	15.3	NUM
sc-1112	402	12	,	,	PUNCT
sc-1112	402	13	pp	pp	ADJ
sc-1112	402	14	.	.	PUNCT
sc-1112	403	1	154–159	154–159	NUM
sc-1112	403	2	.	.	PUNCT
sc-1112	404	1	son	son	PROPN
sc-1112	404	2	,	,	PUNCT
sc-1112	404	3	ji	ji	PROPN
sc-1112	404	4	-	-	ADJ
sc-1112	404	5	young	young	ADJ
sc-1112	404	6	,	,	PUNCT
sc-1112	404	7	michelle	michelle	PROPN
sc-1112	404	8	l	l	PROPN
sc-1112	404	9	bell	bell	PROPN
sc-1112	404	10	,	,	PUNCT
sc-1112	404	11	and	and	CCONJ
sc-1112	404	12	jong	jong	PROPN
sc-1112	404	13	-	-	PUNCT
sc-1112	404	14	tae	tae	PROPN
sc-1112	404	15	lee	lee	PROPN
sc-1112	404	16	(	(	PUNCT
sc-1112	404	17	2010	2010	NUM
sc-1112	404	18	)	)	PUNCT
sc-1112	404	19	.	.	PUNCT
sc-1112	405	1	“	"	PUNCT
sc-1112	405	2	individual	individual	ADJ
sc-1112	405	3	exposure	exposure	NOUN
sc-1112	405	4	to	to	ADP
sc-1112	405	5	air	air	NOUN
sc-1112	405	6	pollution	pollution	NOUN
sc-1112	405	7	and	and	CCONJ
sc-1112	405	8	lung	lung	NOUN
sc-1112	405	9	function	function	NOUN
sc-1112	405	10	in	in	ADP
sc-1112	405	11	korea	korea	PROPN
sc-1112	405	12	:	:	PUNCT
sc-1112	405	13	spatial	spatial	ADJ
sc-1112	405	14	analysis	analysis	NOUN
sc-1112	405	15	using	use	VERB
sc-1112	405	16	multiple	multiple	ADJ
sc-1112	405	17	exposure	exposure	NOUN
sc-1112	405	18	approaches	approach	NOUN
sc-1112	405	19	”	"	PUNCT
sc-1112	405	20	.	.	PUNCT
sc-1112	406	1	in	in	ADP
sc-1112	406	2	:	:	PUNCT
sc-1112	406	3	environmental	environmental	ADJ
sc-1112	406	4	research	research	NOUN
sc-1112	406	5	110.8	110.8	NUM
sc-1112	406	6	,	,	PUNCT
sc-1112	406	7	pp	pp	ADJ
sc-1112	406	8	.	.	PUNCT
sc-1112	407	1	739–749	739–749	NUM
sc-1112	407	2	.	.	PUNCT
sc-1112	408	1	sun	sun	PROPN
sc-1112	408	2	,	,	PUNCT
sc-1112	408	3	jinlong	jinlong	PROPN
sc-1112	408	4	et	et	PROPN
sc-1112	408	5	al	al	PROPN
sc-1112	408	6	.	.	PROPN
sc-1112	408	7	(	(	PUNCT
sc-1112	408	8	2019	2019	NUM
sc-1112	408	9	)	)	PUNCT
sc-1112	408	10	.	.	PUNCT
sc-1112	409	1	“	"	PUNCT
sc-1112	409	2	behavioral	behavioral	ADJ
sc-1112	409	3	modeling	modeling	NOUN
sc-1112	409	4	and	and	CCONJ
sc-1112	409	5	linearization	linearization	NOUN
sc-1112	409	6	of	of	ADP
sc-1112	409	7	wideband	wideband	NOUN
sc-1112	409	8	rf	rf	NOUN
sc-1112	409	9	power	power	NOUN
sc-1112	409	10	amplifiers	amplifier	NOUN
sc-1112	409	11	using	use	VERB
sc-1112	409	12	bilstm	bilstm	NOUN
sc-1112	409	13	networks	network	NOUN
sc-1112	409	14	for	for	ADP
sc-1112	409	15	5	5	NUM
sc-1112	409	16	g	g	PROPN
sc-1112	409	17	wireless	wireless	NOUN
sc-1112	409	18	systems	system	NOUN
sc-1112	409	19	”	"	PUNCT
sc-1112	409	20	.	.	PUNCT
sc-1112	410	1	in	in	ADP
sc-1112	410	2	:	:	PUNCT
sc-1112	410	3	ieee	ieee	NOUN
sc-1112	410	4	transactions	transaction	NOUN
sc-1112	410	5	on	on	ADP
sc-1112	410	6	vehicular	vehicular	ADJ
sc-1112	410	7	technology	technology	NOUN
sc-1112	410	8	68.11	68.11	NUM
sc-1112	410	9	,	,	PUNCT
sc-1112	410	10	pp	pp	ADJ
sc-1112	410	11	.	.	PUNCT
sc-1112	411	1	10348	10348	NUM
sc-1112	411	2	–	–	PUNCT
sc-1112	411	3	10356	10356	NUM
sc-1112	411	4	.	.	PUNCT
sc-1112	412	1	suykens	suykens	PROPN
sc-1112	412	2	,	,	PUNCT
sc-1112	412	3	johan	johan	PROPN
sc-1112	412	4	ak	ak	PROPN
sc-1112	412	5	and	and	CCONJ
sc-1112	412	6	joos	joos	PROPN
sc-1112	412	7	vandewalle	vandewalle	PROPN
sc-1112	412	8	(	(	PUNCT
sc-1112	412	9	1999	1999	NUM
sc-1112	412	10	)	)	PUNCT
sc-1112	412	11	.	.	PUNCT
sc-1112	413	1	“	"	PUNCT
sc-1112	413	2	least	least	ADJ
sc-1112	413	3	squares	square	NOUN
sc-1112	413	4	support	support	VERB
sc-1112	413	5	vector	vector	NOUN
sc-1112	413	6	machine	machine	NOUN
sc-1112	413	7	classifiers	classifier	NOUN
sc-1112	413	8	”	"	PUNCT
sc-1112	413	9	.	.	PUNCT
sc-1112	414	1	in	in	ADP
sc-1112	414	2	:	:	PUNCT
sc-1112	414	3	neural	neural	ADJ
sc-1112	414	4	processing	processing	NOUN
sc-1112	414	5	letters	letter	NOUN
sc-1112	414	6	9.3	9.3	NUM
sc-1112	414	7	,	,	PUNCT
sc-1112	414	8	pp	pp	ADJ
sc-1112	414	9	.	.	PUNCT
sc-1112	415	1	293–300	293–300	NUM
sc-1112	415	2	.	.	X
sc-1112	416	1	tao	tao	PROPN
sc-1112	416	2	,	,	PUNCT
sc-1112	416	3	qing	qe	VERB
sc-1112	416	4	et	et	PROPN
sc-1112	416	5	al	al	PROPN
sc-1112	416	6	.	.	PROPN
sc-1112	417	1	(	(	PUNCT
sc-1112	417	2	2019	2019	NUM
sc-1112	417	3	)	)	PUNCT
sc-1112	417	4	.	.	PUNCT
sc-1112	418	1	“	"	PUNCT
sc-1112	418	2	air	air	NOUN
sc-1112	418	3	pollution	pollution	NOUN
sc-1112	418	4	forecasting	forecasting	NOUN
sc-1112	418	5	using	use	VERB
sc-1112	418	6	a	a	DET
sc-1112	418	7	deep	deep	ADJ
sc-1112	418	8	learning	learning	NOUN
sc-1112	418	9	model	model	NOUN
sc-1112	418	10	based	base	VERB
sc-1112	418	11	on	on	ADP
sc-1112	418	12	1d	1d	NUM
sc-1112	418	13	convnets	convnet	NOUN
sc-1112	418	14	and	and	CCONJ
sc-1112	418	15	bidirectional	bidirectional	PROPN
sc-1112	418	16	gru	gru	PROPN
sc-1112	418	17	”	"	PUNCT
sc-1112	418	18	.	.	PUNCT
sc-1112	419	1	in	in	ADP
sc-1112	419	2	:	:	PUNCT
sc-1112	419	3	ieee	ieee	NOUN
sc-1112	419	4	access	access	NOUN
sc-1112	419	5	7	7	NUM
sc-1112	419	6	,	,	PUNCT
sc-1112	419	7	pp	pp	ADJ
sc-1112	419	8	.	.	PUNCT
sc-1112	420	1	76690–76698	76690–76698	NUM
sc-1112	420	2	.	.	PUNCT
sc-1112	421	1	tripathy	tripathy	ADJ
sc-1112	421	2	,	,	PUNCT
sc-1112	421	3	dp	dp	NOUN
sc-1112	421	4	and	and	CCONJ
sc-1112	421	5	tr	tr	VERB
sc-1112	421	6	dash	dash	NOUN
sc-1112	421	7	(	(	PUNCT
sc-1112	421	8	2018	2018	NUM
sc-1112	421	9	)	)	PUNCT
sc-1112	421	10	.	.	PUNCT
sc-1112	422	1	“	"	PUNCT
sc-1112	422	2	assessment	assessment	NOUN
sc-1112	422	3	of	of	ADP
sc-1112	422	4	particulate	particulate	NOUN
sc-1112	422	5	and	and	CCONJ
sc-1112	422	6	trace	trace	NOUN
sc-1112	422	7	element	element	NOUN
sc-1112	422	8	pollution	pollution	NOUN
sc-1112	422	9	in	in	ADP
sc-1112	422	10	airborne	airborne	ADJ
sc-1112	422	11	dust	dust	NOUN
sc-1112	422	12	around	around	ADP
sc-1112	422	13	a	a	DET
sc-1112	422	14	highly	highly	ADV
sc-1112	422	15	mechanized	mechanized	ADJ
sc-1112	422	16	opencast	opencast	ADJ
sc-1112	422	17	coal	coal	NOUN
sc-1112	422	18	mine	mine	NOUN
sc-1112	422	19	in	in	ADP
sc-1112	422	20	talcher	talcher	NOUN
sc-1112	422	21	,	,	PUNCT
sc-1112	422	22	odisha	odisha	PROPN
sc-1112	422	23	”	"	PUNCT
sc-1112	422	24	.	.	PUNCT
sc-1112	423	1	in	in	ADP
sc-1112	423	2	:	:	PUNCT
sc-1112	423	3	journal	journal	NOUN
sc-1112	423	4	of	of	ADP
sc-1112	423	5	mining	mining	NOUN
sc-1112	423	6	science	science	NOUN
sc-1112	423	7	54.4	54.4	NUM
sc-1112	423	8	,	,	PUNCT
sc-1112	423	9	pp	pp	ADJ
sc-1112	423	10	.	.	PUNCT
sc-1112	424	1	697–708	697–708	NUM
sc-1112	424	2	.	.	PUNCT
sc-1112	425	1	verma	verma	PROPN
sc-1112	425	2	,	,	PUNCT
sc-1112	425	3	ishan	ishan	PROPN
sc-1112	425	4	et	et	PROPN
sc-1112	425	5	al	al	PROPN
sc-1112	425	6	.	.	PROPN
sc-1112	425	7	(	(	PUNCT
sc-1112	425	8	2018	2018	NUM
sc-1112	425	9	)	)	PUNCT
sc-1112	425	10	.	.	PUNCT
sc-1112	426	1	“	"	PUNCT
sc-1112	426	2	air	air	NOUN
sc-1112	426	3	pollutant	pollutant	ADJ
sc-1112	426	4	severity	severity	NOUN
sc-1112	426	5	prediction	prediction	NOUN
sc-1112	426	6	using	use	VERB
sc-1112	426	7	bi	bi	ADJ
sc-1112	426	8	-	-	ADJ
sc-1112	426	9	directional	directional	ADJ
sc-1112	426	10	lstm	lstm	NOUN
sc-1112	426	11	network	network	NOUN
sc-1112	426	12	”	"	PUNCT
sc-1112	426	13	.	.	PUNCT
sc-1112	427	1	in	in	ADP
sc-1112	427	2	:	:	PUNCT
sc-1112	427	3	2018	2018	NUM
sc-1112	427	4	ieee	ieee	NOUN
sc-1112	427	5	/	/	SYM
sc-1112	427	6	wic	wic	NOUN
sc-1112	427	7	/	/	SYM
sc-1112	427	8	acm	acm	PROPN
sc-1112	427	9	international	international	ADJ
sc-1112	427	10	conference	conference	NOUN
sc-1112	427	11	on	on	ADP
sc-1112	427	12	web	web	NOUN
sc-1112	427	13	intelligence	intelligence	NOUN
sc-1112	427	14	(	(	PUNCT
sc-1112	427	15	wi	wi	PROPN
sc-1112	427	16	)	)	PUNCT
sc-1112	427	17	.	.	PUNCT
sc-1112	428	1	ieee	ieee	PROPN
sc-1112	428	2	,	,	PUNCT
sc-1112	428	3	pp	pp	ADJ
sc-1112	428	4	.	.	PUNCT
sc-1112	429	1	651–654	651–654	NUM
sc-1112	429	2	.	.	PUNCT
sc-1112	430	1	vorapracha	vorapracha	NOUN
sc-1112	430	2	,	,	PUNCT
sc-1112	430	3	phatarapon	phatarapon	ADP
sc-1112	430	4	et	et	PROPN
sc-1112	430	5	al	al	PROPN
sc-1112	430	6	.	.	PROPN
sc-1112	431	1	(	(	PUNCT
sc-1112	431	2	2015	2015	NUM
sc-1112	431	3	)	)	PUNCT
sc-1112	431	4	.	.	PUNCT
sc-1112	432	1	“	"	PUNCT
sc-1112	432	2	a	a	DET
sc-1112	432	3	comparison	comparison	NOUN
sc-1112	432	4	of	of	ADP
sc-1112	432	5	spatial	spatial	ADJ
sc-1112	432	6	interpolation	interpolation	NOUN
sc-1112	432	7	methods	method	NOUN
sc-1112	432	8	for	for	ADP
sc-1112	432	9	predicting	predict	VERB
sc-1112	432	10	concentrations	concentration	NOUN
sc-1112	432	11	of	of	ADP
sc-1112	432	12	particle	particle	NOUN
sc-1112	432	13	pollution	pollution	NOUN
sc-1112	432	14	(	(	PUNCT
sc-1112	432	15	pm10	pm10	PROPN
sc-1112	432	16	)	)	PUNCT
sc-1112	432	17	”	"	PUNCT
sc-1112	432	18	.	.	PUNCT
sc-1112	433	1	in	in	ADP
sc-1112	433	2	:	:	PUNCT
sc-1112	433	3	international	international	ADJ
sc-1112	433	4	journal	journal	NOUN
sc-1112	433	5	of	of	ADP
sc-1112	433	6	chemical	chemical	PROPN
sc-1112	433	7	,	,	PUNCT
sc-1112	433	8	environmental	environmental	ADJ
sc-1112	433	9	and	and	CCONJ
sc-1112	433	10	biological	biological	ADJ
sc-1112	433	11	sciences	science	NOUN
sc-1112	433	12	3.4	3.4	NUM
sc-1112	433	13	,	,	PUNCT
sc-1112	433	14	pp	pp	ADJ
sc-1112	433	15	.	.	PUNCT
sc-1112	434	1	302–306	302–306	NUM
sc-1112	434	2	.	.	PUNCT
sc-1112	435	1	voynikova	voynikova	NOUN
sc-1112	435	2	,	,	PUNCT
sc-1112	435	3	ds	ds	VERB
sc-1112	435	4	et	et	PROPN
sc-1112	435	5	al	al	PROPN
sc-1112	435	6	.	.	PUNCT
sc-1112	435	7	(	(	PUNCT
sc-1112	435	8	2015	2015	NUM
sc-1112	435	9	)	)	PUNCT
sc-1112	435	10	.	.	PUNCT
sc-1112	436	1	“	"	PUNCT
sc-1112	436	2	studying	study	VERB
sc-1112	436	3	the	the	DET
sc-1112	436	4	effect	effect	NOUN
sc-1112	436	5	of	of	ADP
sc-1112	436	6	meteorological	meteorological	ADJ
sc-1112	436	7	factors	factor	NOUN
sc-1112	436	8	on	on	ADP
sc-1112	436	9	the	the	DET
sc-1112	436	10	so2	so2	PROPN
sc-1112	436	11	and	and	CCONJ
sc-1112	436	12	pm10	pm10	PROPN
sc-1112	436	13	pollution	pollution	NOUN
sc-1112	436	14	levels	level	NOUN
sc-1112	436	15	with	with	ADP
sc-1112	436	16	refined	refined	ADJ
sc-1112	436	17	versions	version	NOUN
sc-1112	436	18	of	of	ADP
sc-1112	436	19	the	the	DET
sc-1112	436	20	sarima	sarima	NOUN
sc-1112	436	21	model	model	NOUN
sc-1112	436	22	”	"	PUNCT
sc-1112	436	23	.	.	PUNCT
sc-1112	437	1	in	in	ADP
sc-1112	437	2	:	:	PUNCT
sc-1112	437	3	aip	aip	PROPN
sc-1112	437	4	conference	conference	NOUN
sc-1112	437	5	proceedings	proceeding	NOUN
sc-1112	437	6	.	.	PUNCT
sc-1112	438	1	vol	vol	NOUN
sc-1112	438	2	.	.	PUNCT
sc-1112	438	3	1684	1684	NUM
sc-1112	438	4	.	.	PUNCT
sc-1112	439	1	1	1	X
sc-1112	439	2	.	.	X
sc-1112	439	3	aip	aip	PROPN
sc-1112	439	4	publishing	publishing	PROPN
sc-1112	439	5	llc	llc	PROPN
sc-1112	439	6	,	,	PUNCT
sc-1112	439	7	p.	p.	NOUN
sc-1112	439	8	100005	100005	NUM
sc-1112	439	9	.	.	PUNCT
sc-1112	440	1	wang	wang	PROPN
sc-1112	440	2	,	,	PUNCT
sc-1112	440	3	baowei	baowei	PROPN
sc-1112	440	4	,	,	PUNCT
sc-1112	440	5	weiwen	weiwen	NOUN
sc-1112	440	6	kong	kong	PROPN
sc-1112	440	7	,	,	PUNCT
sc-1112	440	8	and	and	CCONJ
sc-1112	440	9	hui	hui	PROPN
sc-1112	440	10	guan	guan	PROPN
sc-1112	440	11	(	(	PUNCT
sc-1112	440	12	2019	2019	NUM
sc-1112	440	13	)	)	PUNCT
sc-1112	440	14	.	.	PUNCT
sc-1112	441	1	“	"	PUNCT
sc-1112	441	2	air	air	NOUN
sc-1112	441	3	quality	quality	NOUN
sc-1112	441	4	forcasting	forcasting	NOUN
sc-1112	441	5	based	base	VERB
sc-1112	441	6	on	on	ADP
sc-1112	441	7	gated	gate	VERB
sc-1112	441	8	recurrent	recurrent	ADJ
sc-1112	441	9	long	long	ADV
sc-1112	441	10	shortterm	shortterm	PROPN
sc-1112	441	11	memory	memory	NOUN
sc-1112	441	12	model	model	NOUN
sc-1112	441	13	”	"	PUNCT
sc-1112	441	14	.	.	PUNCT
sc-1112	442	1	in	in	ADP
sc-1112	442	2	:	:	PUNCT
sc-1112	442	3	proceedings	proceeding	NOUN
sc-1112	442	4	of	of	ADP
sc-1112	442	5	the	the	DET
sc-1112	442	6	acm	acm	NOUN
sc-1112	442	7	turing	ture	VERB
sc-1112	442	8	celebration	celebration	NOUN
sc-1112	442	9	conference	conference	NOUN
sc-1112	442	10	-	-	PUNCT
sc-1112	442	11	china	china	PROPN
sc-1112	442	12	.	.	PUNCT
sc-1112	442	13	acm	acm	PROPN
sc-1112	442	14	,	,	PUNCT
sc-1112	442	15	p.	p.	NOUN
sc-1112	442	16	128	128	NUM
sc-1112	442	17	.	.	PUNCT
sc-1112	443	1	wang	wang	PROPN
sc-1112	443	2	,	,	PUNCT
sc-1112	443	3	jianzhou	jianzhou	PROPN
sc-1112	443	4	,	,	PUNCT
sc-1112	443	5	tong	tong	PROPN
sc-1112	443	6	niu	niu	PROPN
sc-1112	443	7	,	,	PUNCT
sc-1112	443	8	and	and	CCONJ
sc-1112	443	9	rui	rui	PROPN
sc-1112	443	10	wang	wang	PROPN
sc-1112	443	11	(	(	PUNCT
sc-1112	443	12	2017	2017	NUM
sc-1112	443	13	)	)	PUNCT
sc-1112	443	14	.	.	PUNCT
sc-1112	444	1	“	"	PUNCT
sc-1112	444	2	research	research	NOUN
sc-1112	444	3	and	and	CCONJ
sc-1112	444	4	application	application	NOUN
sc-1112	444	5	of	of	ADP
sc-1112	444	6	an	an	DET
sc-1112	444	7	air	air	NOUN
sc-1112	444	8	quality	quality	NOUN
sc-1112	444	9	early	early	ADJ
sc-1112	444	10	warning	warning	NOUN
sc-1112	444	11	system	system	NOUN
sc-1112	444	12	based	base	VERB
sc-1112	444	13	on	on	ADP
sc-1112	444	14	a	a	DET
sc-1112	444	15	modified	modify	VERB
sc-1112	444	16	least	least	ADJ
sc-1112	444	17	squares	square	NOUN
sc-1112	444	18	support	support	NOUN
sc-1112	444	19	vector	vector	NOUN
sc-1112	444	20	machine	machine	NOUN
sc-1112	444	21	and	and	CCONJ
sc-1112	444	22	a	a	DET
sc-1112	444	23	cloud	cloud	NOUN
sc-1112	444	24	model	model	NOUN
sc-1112	444	25	”	"	PUNCT
sc-1112	444	26	.	.	PUNCT
sc-1112	445	1	in	in	ADP
sc-1112	445	2	:	:	PUNCT
sc-1112	445	3	international	international	ADJ
sc-1112	445	4	journal	journal	NOUN
sc-1112	445	5	of	of	ADP
sc-1112	445	6	environmental	environmental	ADJ
sc-1112	445	7	research	research	NOUN
sc-1112	445	8	and	and	CCONJ
sc-1112	445	9	public	public	ADJ
sc-1112	445	10	health	health	NOUN
sc-1112	445	11	14.3	14.3	NUM
sc-1112	445	12	,	,	PUNCT
sc-1112	445	13	p.	p.	NOUN
sc-1112	445	14	249	249	NUM
sc-1112	445	15	.	.	PUNCT
sc-1112	446	1	wang	wang	PROPN
sc-1112	446	2	,	,	PUNCT
sc-1112	446	3	z	z	PROPN
sc-1112	446	4	et	et	NOUN
sc-1112	446	5	al	al	PROPN
sc-1112	446	6	.	.	PROPN
sc-1112	446	7	(	(	PUNCT
sc-1112	446	8	2001	2001	NUM
sc-1112	446	9	)	)	PUNCT
sc-1112	446	10	.	.	PUNCT
sc-1112	447	1	“	"	PUNCT
sc-1112	447	2	a	a	DET
sc-1112	447	3	nested	nested	ADJ
sc-1112	447	4	air	air	NOUN
sc-1112	447	5	quality	quality	NOUN
sc-1112	447	6	prediction	prediction	NOUN
sc-1112	447	7	modeling	modeling	NOUN
sc-1112	447	8	system	system	NOUN
sc-1112	447	9	for	for	ADP
sc-1112	447	10	urban	urban	ADJ
sc-1112	447	11	and	and	CCONJ
sc-1112	447	12	regional	regional	ADJ
sc-1112	447	13	scales	scale	NOUN
sc-1112	447	14	:	:	PUNCT
sc-1112	447	15	application	application	NOUN
sc-1112	447	16	for	for	ADP
sc-1112	447	17	high	high	ADJ
sc-1112	447	18	-	-	PUNCT
sc-1112	447	19	ozone	ozone	NOUN
sc-1112	447	20	episode	episode	NOUN
sc-1112	447	21	in	in	ADP
sc-1112	447	22	taiwan	taiwan	PROPN
sc-1112	447	23	”	"	PUNCT
sc-1112	447	24	.	.	PUNCT
sc-1112	448	1	in	in	ADP
sc-1112	448	2	:	:	PUNCT
sc-1112	448	3	water	water	NOUN
sc-1112	448	4	,	,	PUNCT
sc-1112	448	5	air	air	NOUN
sc-1112	448	6	,	,	PUNCT
sc-1112	448	7	and	and	CCONJ
sc-1112	448	8	soil	soil	NOUN
sc-1112	448	9	pollution	pollution	NOUN
sc-1112	448	10	130.1	130.1	NUM
sc-1112	448	11	-	-	SYM
sc-1112	448	12	4	4	NUM
sc-1112	448	13	,	,	PUNCT
sc-1112	448	14	pp	pp	ADJ
sc-1112	448	15	.	.	PUNCT
sc-1112	449	1	391–396	391–396	NUM
sc-1112	449	2	.	.	PUNCT
sc-1112	450	1	xie	xie	PROPN
sc-1112	450	2	,	,	PUNCT
sc-1112	450	3	haofei	haofei	NOUN
sc-1112	450	4	et	et	PROPN
sc-1112	450	5	al	al	PROPN
sc-1112	450	6	.	.	PROPN
sc-1112	450	7	(	(	PUNCT
sc-1112	450	8	2019	2019	NUM
sc-1112	450	9	)	)	PUNCT
sc-1112	450	10	.	.	PUNCT
sc-1112	451	1	“	"	PUNCT
sc-1112	451	2	research	research	NOUN
sc-1112	451	3	of	of	ADP
sc-1112	451	4	pm2	pm2	NOUN
sc-1112	451	5	.	.	PUNCT
sc-1112	452	1	5	5	NUM
sc-1112	452	2	prediction	prediction	NOUN
sc-1112	452	3	system	system	NOUN
sc-1112	452	4	based	base	VERB
sc-1112	452	5	on	on	ADP
sc-1112	452	6	cnns	cnns	PROPN
sc-1112	452	7	-	-	PUNCT
sc-1112	452	8	gru	gru	PROPN
sc-1112	452	9	in	in	ADP
sc-1112	452	10	wuxi	wuxi	PROPN
sc-1112	452	11	urban	urban	PROPN
sc-1112	452	12	area	area	PROPN
sc-1112	452	13	”	"	PUNCT
sc-1112	452	14	.	.	PUNCT
sc-1112	453	1	in	in	ADP
sc-1112	453	2	:	:	PUNCT
sc-1112	453	3	iop	iop	PROPN
sc-1112	453	4	conference	conference	PROPN
sc-1112	453	5	series	series	PROPN
sc-1112	453	6	:	:	PUNCT
sc-1112	453	7	earth	earth	NOUN
sc-1112	453	8	and	and	CCONJ
sc-1112	453	9	environmental	environmental	ADJ
sc-1112	453	10	science	science	NOUN
sc-1112	453	11	.	.	PUNCT
sc-1112	454	1	vol	vol	NOUN
sc-1112	454	2	.	.	PUNCT
sc-1112	455	1	300	300	NUM
sc-1112	455	2	.	.	X
sc-1112	456	1	3	3	X
sc-1112	456	2	.	.	X
sc-1112	456	3	iop	iop	NOUN
sc-1112	456	4	publishing	publishing	NOUN
sc-1112	456	5	,	,	PUNCT
sc-1112	456	6	p.	p.	NOUN
sc-1112	456	7	032073	032073	NUM
sc-1112	456	8	.	.	PUNCT
sc-1112	457	1	xie	xie	PROPN
sc-1112	457	2	,	,	PUNCT
sc-1112	457	3	xingzhe	xingzhe	PROPN
sc-1112	457	4	et	et	PROPN
sc-1112	457	5	al	al	PROPN
sc-1112	457	6	.	.	PROPN
sc-1112	457	7	(	(	PUNCT
sc-1112	457	8	2017	2017	NUM
sc-1112	457	9	)	)	PUNCT
sc-1112	457	10	.	.	PUNCT
sc-1112	458	1	“	"	PUNCT
sc-1112	458	2	a	a	DET
sc-1112	458	3	review	review	NOUN
sc-1112	458	4	of	of	ADP
sc-1112	458	5	urban	urban	ADJ
sc-1112	458	6	air	air	NOUN
sc-1112	458	7	pollution	pollution	NOUN
sc-1112	458	8	monitoring	monitoring	NOUN
sc-1112	458	9	and	and	CCONJ
sc-1112	458	10	exposure	exposure	NOUN
sc-1112	458	11	assessment	assessment	NOUN
sc-1112	458	12	methods	method	NOUN
sc-1112	458	13	”	"	PUNCT
sc-1112	458	14	.	.	PUNCT
sc-1112	459	1	in	in	ADP
sc-1112	459	2	:	:	PUNCT
sc-1112	459	3	isprs	isprs	PROPN
sc-1112	459	4	international	international	ADJ
sc-1112	459	5	journal	journal	PROPN
sc-1112	459	6	of	of	ADP
sc-1112	459	7	geo	geo	PROPN
sc-1112	459	8	-	-	PUNCT
sc-1112	459	9	information	information	NOUN
sc-1112	459	10	6.12	6.12	NUM
sc-1112	459	11	,	,	PUNCT
sc-1112	459	12	p.	p.	NOUN
sc-1112	459	13	389	389	NUM
sc-1112	459	14	.	.	PUNCT
sc-1112	460	1	ya’acob	ya’acob	PROPN
sc-1112	460	2	,	,	PUNCT
sc-1112	460	3	norsuzila	norsuzila	NOUN
sc-1112	460	4	et	et	PROPN
sc-1112	460	5	al	al	PROPN
sc-1112	460	6	.	.	PUNCT
sc-1112	461	1	(	(	PUNCT
sc-1112	461	2	2016	2016	NUM
sc-1112	461	3	)	)	PUNCT
sc-1112	461	4	.	.	PUNCT
sc-1112	462	1	“	"	PUNCT
sc-1112	462	2	haze	haze	VERB
sc-1112	462	3	monitoring	monitoring	NOUN
sc-1112	462	4	based	base	VERB
sc-1112	462	5	on	on	ADP
sc-1112	462	6	air	air	NOUN
sc-1112	462	7	pollution	pollution	NOUN
sc-1112	462	8	index	index	NOUN
sc-1112	462	9	(	(	PUNCT
sc-1112	462	10	api	api	NOUN
sc-1112	462	11	)	)	PUNCT
sc-1112	462	12	and	and	CCONJ
sc-1112	462	13	geographic	geographic	ADJ
sc-1112	462	14	information	information	NOUN
sc-1112	462	15	system	system	NOUN
sc-1112	462	16	(	(	PUNCT
sc-1112	462	17	gis	gis	NOUN
sc-1112	462	18	)	)	PUNCT
sc-1112	462	19	”	"	PUNCT
sc-1112	462	20	.	.	PUNCT
sc-1112	463	1	in	in	ADP
sc-1112	463	2	:	:	PUNCT
sc-1112	463	3	2016	2016	NUM
sc-1112	463	4	ieee	ieee	NOUN
sc-1112	463	5	conference	conference	NOUN
sc-1112	463	6	on	on	ADP
sc-1112	463	7	systems	system	NOUN
sc-1112	463	8	,	,	PUNCT
sc-1112	463	9	process	process	NOUN
sc-1112	463	10	and	and	CCONJ
sc-1112	463	11	control	control	NOUN
sc-1112	463	12	(	(	PUNCT
sc-1112	463	13	icspc	icspc	NOUN
sc-1112	463	14	)	)	PUNCT
sc-1112	463	15	.	.	PUNCT
sc-1112	464	1	ieee	ieee	PROPN
sc-1112	464	2	,	,	PUNCT
sc-1112	464	3	pp	pp	ADP
sc-1112	464	4	.	.	PUNCT
sc-1112	465	1	7–11	7–11	PROPN
sc-1112	465	2	.	.	PUNCT
sc-1112	466	1	yenidoğan	yenidoğan	PROPN
sc-1112	466	2	,	,	PUNCT
sc-1112	466	3	işil	işil	PROPN
sc-1112	466	4	et	et	PROPN
sc-1112	466	5	al	al	PROPN
sc-1112	466	6	.	.	PUNCT
sc-1112	467	1	(	(	PUNCT
sc-1112	467	2	2018	2018	NUM
sc-1112	467	3	)	)	PUNCT
sc-1112	467	4	.	.	PUNCT
sc-1112	468	1	“	"	PUNCT
sc-1112	468	2	bitcoin	bitcoin	ADJ
sc-1112	468	3	forecasting	forecasting	NOUN
sc-1112	468	4	using	use	VERB
sc-1112	468	5	arima	arima	PROPN
sc-1112	468	6	and	and	CCONJ
sc-1112	468	7	prophet	prophet	NOUN
sc-1112	468	8	”	"	PUNCT
sc-1112	468	9	.	.	PUNCT
sc-1112	469	1	in	in	ADP
sc-1112	469	2	:	:	PUNCT
sc-1112	469	3	2018	2018	NUM
sc-1112	469	4	3rd	3rd	ADJ
sc-1112	469	5	international	international	ADJ
sc-1112	469	6	conference	conference	NOUN
sc-1112	469	7	on	on	ADP
sc-1112	469	8	computer	computer	NOUN
sc-1112	469	9	science	science	NOUN
sc-1112	469	10	and	and	CCONJ
sc-1112	469	11	engineering	engineering	NOUN
sc-1112	469	12	(	(	PUNCT
sc-1112	469	13	ubmk	ubmk	PROPN
sc-1112	469	14	)	)	PUNCT
sc-1112	469	15	.	.	PUNCT
sc-1112	470	1	ieee	ieee	PROPN
sc-1112	470	2	,	,	PUNCT
sc-1112	470	3	pp	pp	ADJ
sc-1112	470	4	.	.	PUNCT
sc-1112	471	1	621	621	NUM
sc-1112	471	2	–	–	PUNCT
sc-1112	471	3	624	624	NUM
sc-1112	471	4	.	.	PUNCT
sc-1112	472	1	zahedi	zahedi	PROPN
sc-1112	472	2	,	,	PUNCT
sc-1112	472	3	gholamreza	gholamreza	PROPN
sc-1112	472	4	et	et	PROPN
sc-1112	472	5	al	al	PROPN
sc-1112	472	6	.	.	PROPN
sc-1112	472	7	(	(	PUNCT
sc-1112	472	8	2014	2014	NUM
sc-1112	472	9	)	)	PUNCT
sc-1112	472	10	.	.	PUNCT
sc-1112	473	1	“	"	PUNCT
sc-1112	473	2	ozone	ozone	NOUN
sc-1112	473	3	pollution	pollution	NOUN
sc-1112	473	4	prediction	prediction	NOUN
sc-1112	473	5	around	around	ADP
sc-1112	473	6	industrial	industrial	ADJ
sc-1112	473	7	areas	area	NOUN
sc-1112	473	8	using	use	VERB
sc-1112	473	9	fuzzy	fuzzy	ADJ
sc-1112	473	10	neural	neural	ADJ
sc-1112	473	11	network	network	NOUN
sc-1112	473	12	approach	approach	NOUN
sc-1112	473	13	”	"	PUNCT
sc-1112	473	14	.	.	PUNCT
sc-1112	474	1	in	in	ADP
sc-1112	474	2	:	:	PUNCT
sc-1112	474	3	clean	clean	ADJ
sc-1112	474	4	–	–	PUNCT
sc-1112	474	5	soil	soil	NOUN
sc-1112	474	6	,	,	PUNCT
sc-1112	474	7	air	air	NOUN
sc-1112	474	8	,	,	PUNCT
sc-1112	474	9	water	water	NOUN
sc-1112	474	10	42.7	42.7	NUM
sc-1112	474	11	,	,	PUNCT
sc-1112	474	12	pp	pp	ADJ
sc-1112	474	13	.	.	PUNCT
sc-1112	475	1	871–879	871–879	NUM
sc-1112	475	2	.	.	PUNCT
sc-1112	476	1	zamani	zamani	PROPN
sc-1112	476	2	joharestani	joharestani	PROPN
sc-1112	476	3	,	,	PUNCT
sc-1112	476	4	mehdi	mehdi	PROPN
sc-1112	476	5	et	et	PROPN
sc-1112	476	6	al	al	PROPN
sc-1112	476	7	.	.	PROPN
sc-1112	476	8	(	(	PUNCT
sc-1112	476	9	2019	2019	NUM
sc-1112	476	10	)	)	PUNCT
sc-1112	476	11	.	.	PUNCT
sc-1112	477	1	“	"	PUNCT
sc-1112	477	2	pm2	pm2	NOUN
sc-1112	477	3	.	.	NOUN
sc-1112	477	4	5	5	NUM
sc-1112	477	5	prediction	prediction	NOUN
sc-1112	477	6	based	base	VERB
sc-1112	477	7	on	on	ADP
sc-1112	477	8	random	random	ADJ
sc-1112	477	9	forest	forest	NOUN
sc-1112	477	10	,	,	PUNCT
sc-1112	477	11	xgboost	xgboost	ADV
sc-1112	477	12	,	,	PUNCT
sc-1112	477	13	and	and	CCONJ
sc-1112	477	14	deep	deep	ADJ
sc-1112	477	15	learning	learning	NOUN
sc-1112	477	16	using	use	VERB
sc-1112	477	17	multisource	multisource	ADJ
sc-1112	477	18	remote	remote	ADJ
sc-1112	477	19	sensing	sense	VERB
sc-1112	477	20	data	datum	NOUN
sc-1112	477	21	”	"	PUNCT
sc-1112	477	22	.	.	PUNCT
sc-1112	478	1	in	in	ADP
sc-1112	478	2	:	:	PUNCT
sc-1112	478	3	atmosphere	atmosphere	NOUN
sc-1112	478	4	10.7	10.7	NUM
sc-1112	478	5	,	,	PUNCT
sc-1112	478	6	p.	p.	NOUN
sc-1112	478	7	373	373	NUM
sc-1112	478	8	.	.	PUNCT
sc-1112	478	9	11	11	NUM
sc-1112	478	10	eai	eai	PROPN
sc-1112	478	11	endorsed	endorse	VERB
sc-1112	478	12	transactions	transaction	NOUN
sc-1112	478	13	on	on	ADP
sc-1112	478	14	smart	smart	ADJ
sc-1112	478	15	cities	city	NOUN
sc-1112	478	16	01	01	NUM
sc-1112	478	17	2021	2021	NUM
sc-1112	478	18	04	04	NUM
sc-1112	478	19	2021	2021	NUM
sc-1112	478	20	|	|	ADV
sc-1112	478	21	volume	volume	NOUN
sc-1112	478	22	5	5	NUM
sc-1112	478	23	|	|	ADV
sc-1112	478	24	issue	issue	VERB
sc-1112	478	25	14	14	NUM
sc-1112	478	26	|	|	NOUN
sc-1112	478	27	e4	e4	PROPN
sc-1112	478	28	https://data.gov.in/	https://data.gov.in/	PROPN
sc-1112	478	29	https://data.gov.in/	https://data.gov.in/	PROPN
sc-1112	478	30	k.krishna	k.krishna	NOUN
sc-1112	479	1	rani	rani	PROPN
sc-1112	479	2	samal	samal	PROPN
sc-1112	479	3	et	et	PROPN
sc-1112	479	4	al	al	PROPN
sc-1112	479	5	.	.	PUNCT
sc-1112	479	6	zhou	zhou	PROPN
sc-1112	479	7	,	,	PUNCT
sc-1112	479	8	shanshan	shanshan	PROPN
sc-1112	479	9	,	,	PUNCT
sc-1112	479	10	wenjing	wenje	VERB
sc-1112	479	11	li	li	PROPN
sc-1112	479	12	,	,	PUNCT
sc-1112	479	13	and	and	CCONJ
sc-1112	479	14	junfei	junfei	PROPN
sc-1112	479	15	qiao	qiao	PROPN
sc-1112	479	16	(	(	PUNCT
sc-1112	479	17	2017	2017	NUM
sc-1112	479	18	)	)	PUNCT
sc-1112	479	19	.	.	PUNCT
sc-1112	480	1	“	"	PUNCT
sc-1112	480	2	prediction	prediction	NOUN
sc-1112	480	3	of	of	ADP
sc-1112	480	4	pm2	pm2	NOUN
sc-1112	480	5	.	.	PUNCT
sc-1112	481	1	5	5	NUM
sc-1112	481	2	concentration	concentration	NOUN
sc-1112	481	3	based	base	VERB
sc-1112	481	4	on	on	ADP
sc-1112	481	5	recurrent	recurrent	ADJ
sc-1112	481	6	fuzzy	fuzzy	ADJ
sc-1112	481	7	neural	neural	ADJ
sc-1112	481	8	network	network	NOUN
sc-1112	481	9	”	"	PUNCT
sc-1112	481	10	.	.	PUNCT
sc-1112	482	1	in	in	ADP
sc-1112	482	2	:	:	PUNCT
sc-1112	482	3	2017	2017	NUM
sc-1112	482	4	36th	36th	ADJ
sc-1112	482	5	chinese	chinese	ADJ
sc-1112	482	6	control	control	PROPN
sc-1112	482	7	conference	conference	PROPN
sc-1112	482	8	(	(	PUNCT
sc-1112	482	9	ccc	ccc	PROPN
sc-1112	482	10	)	)	PUNCT
sc-1112	482	11	.	.	PUNCT
sc-1112	483	1	ieee	ieee	PROPN
sc-1112	483	2	,	,	PUNCT
sc-1112	483	3	pp	pp	ADJ
sc-1112	483	4	.	.	PUNCT
sc-1112	484	1	3920–3924	3920–3924	NUM
sc-1112	484	2	.	.	PUNCT
sc-1112	485	1	zhu	zhu	PROPN
sc-1112	485	2	,	,	PUNCT
sc-1112	485	3	min	min	PROPN
sc-1112	485	4	et	et	PROPN
sc-1112	485	5	al	al	PROPN
sc-1112	485	6	.	.	PROPN
sc-1112	485	7	(	(	PUNCT
sc-1112	485	8	2018	2018	NUM
sc-1112	485	9	)	)	PUNCT
sc-1112	485	10	.	.	PUNCT
sc-1112	486	1	“	"	PUNCT
sc-1112	486	2	class	class	NOUN
sc-1112	486	3	weights	weight	VERB
sc-1112	486	4	random	random	ADJ
sc-1112	486	5	forest	forest	NOUN
sc-1112	486	6	algorithm	algorithm	NOUN
sc-1112	486	7	for	for	ADP
sc-1112	486	8	processing	processing	NOUN
sc-1112	486	9	class	class	NOUN
sc-1112	486	10	imbalanced	imbalance	VERB
sc-1112	486	11	medical	medical	ADJ
sc-1112	486	12	data	datum	NOUN
sc-1112	486	13	”	"	PUNCT
sc-1112	486	14	.	.	PUNCT
sc-1112	487	1	in	in	ADP
sc-1112	487	2	:	:	PUNCT
sc-1112	487	3	ieee	ieee	NOUN
sc-1112	487	4	access	access	NOUN
sc-1112	487	5	6	6	NUM
sc-1112	487	6	,	,	PUNCT
sc-1112	487	7	pp	pp	ADJ
sc-1112	487	8	.	.	PUNCT
sc-1112	488	1	4641–4652	4641–4652	NUM
sc-1112	488	2	.	.	PUNCT
sc-1112	489	1	zou	zou	PROPN
sc-1112	489	2	,	,	PUNCT
sc-1112	489	3	bin	bin	PROPN
sc-1112	489	4	et	et	PROPN
sc-1112	489	5	al	al	PROPN
sc-1112	489	6	.	.	PROPN
sc-1112	489	7	(	(	PUNCT
sc-1112	489	8	2015	2015	NUM
sc-1112	489	9	)	)	PUNCT
sc-1112	489	10	.	.	PUNCT
sc-1112	490	1	“	"	PUNCT
sc-1112	490	2	spatial	spatial	ADJ
sc-1112	490	3	modeling	modeling	NOUN
sc-1112	490	4	of	of	ADP
sc-1112	490	5	pm	pm	NOUN
sc-1112	490	6	2.5	2.5	NUM
sc-1112	490	7	concentrations	concentration	NOUN
sc-1112	490	8	with	with	ADP
sc-1112	490	9	a	a	DET
sc-1112	490	10	multifactoral	multifactoral	ADJ
sc-1112	490	11	radial	radial	ADJ
sc-1112	490	12	basis	basis	NOUN
sc-1112	490	13	function	function	NOUN
sc-1112	490	14	neural	neural	ADJ
sc-1112	490	15	network	network	NOUN
sc-1112	490	16	”	"	PUNCT
sc-1112	490	17	.	.	PUNCT
sc-1112	491	1	in	in	ADP
sc-1112	491	2	:	:	PUNCT
sc-1112	491	3	environmental	environmental	ADJ
sc-1112	491	4	science	science	NOUN
sc-1112	491	5	and	and	CCONJ
sc-1112	491	6	pollution	pollution	NOUN
sc-1112	491	7	research	research	NOUN
sc-1112	491	8	22.14	22.14	NUM
sc-1112	491	9	,	,	PUNCT
sc-1112	491	10	pp	pp	ADJ
sc-1112	491	11	.	.	PUNCT
sc-1112	491	12	10395–10404	10395–10404	NUM
sc-1112	491	13	.	.	NOUN
sc-1112	491	14	12	12	NUM
sc-1112	491	15	eai	eai	PROPN
sc-1112	491	16	endorsed	endorse	VERB
sc-1112	491	17	transactions	transaction	NOUN
sc-1112	491	18	on	on	ADP
sc-1112	491	19	smart	smart	ADJ
sc-1112	491	20	cities	city	NOUN
sc-1112	491	21	01	01	NUM
sc-1112	491	22	2021	2021	NUM
sc-1112	491	23	04	04	NUM
sc-1112	491	24	2021	2021	NUM
sc-1112	491	25	|	|	ADV
sc-1112	491	26	volume	volume	NOUN
sc-1112	491	27	5	5	NUM
sc-1112	491	28	|	|	ADV
sc-1112	491	29	issue	issue	VERB
sc-1112	491	30	14	14	NUM
sc-1112	491	31	|	|	NOUN
sc-1112	491	32	e4	e4	PROPN
sc-1112	491	33	1	1	NUM
sc-1112	491	34	introduction	introduction	NOUN
sc-1112	491	35	2	2	NUM
sc-1112	491	36	related	relate	VERB
sc-1112	491	37	works	work	NOUN
sc-1112	491	38	3	3	NUM
sc-1112	491	39	problem	problem	NOUN
sc-1112	491	40	statement	statement	NOUN
sc-1112	491	41	4	4	NUM
sc-1112	491	42	study	study	NOUN
sc-1112	491	43	area	area	NOUN
sc-1112	491	44	5	5	NUM
sc-1112	491	45	experimental	experimental	ADJ
sc-1112	491	46	method	method	NOUN
sc-1112	491	47	5.1	5.1	NUM
sc-1112	491	48	1d	1d	NUM
sc-1112	491	49	convnet	convnet	NOUN
sc-1112	491	50	for	for	ADP
sc-1112	491	51	feature	feature	NOUN
sc-1112	491	52	learning	learn	VERB
sc-1112	491	53	5.2	5.2	NUM
sc-1112	491	54	long	long	ADJ
sc-1112	491	55	term	term	NOUN
sc-1112	491	56	temporal	temporal	ADJ
sc-1112	491	57	modeling	model	VERB
sc-1112	491	58	5.3	5.3	NUM
sc-1112	491	59	spatial	spatial	ADJ
sc-1112	491	60	modeling	model	VERB
sc-1112	491	61	6	6	NUM
sc-1112	491	62	results	result	NOUN
sc-1112	491	63	and	and	CCONJ
sc-1112	491	64	discussions	discussion	NOUN
sc-1112	491	65	7	7	NUM
sc-1112	491	66	conclusion	conclusion	NOUN
sc-1112	491	67	8	8	NUM
sc-1112	491	68	acknowledgment	acknowledgment	NOUN