id	sid	tid	token	lemma	pos
cana-1235	1	1	communications	communication	NOUN
cana-1235	1	2	on	on	ADP
cana-1235	1	3	applied	apply	VERB
cana-1235	1	4	nonlinear	nonlinear	ADJ
cana-1235	1	5	analysis	analysis	NOUN
cana-1235	1	6	issn	issn	NOUN
cana-1235	1	7	:	:	PUNCT
cana-1235	1	8	1074	1074	NUM
cana-1235	1	9	-	-	PUNCT
cana-1235	1	10	133x	133x	NUM
cana-1235	1	11	vol	vol	NOUN
cana-1235	1	12	31	31	NUM
cana-1235	1	13	no	no	NOUN
cana-1235	1	14	.	.	PUNCT
cana-1235	2	1	6s	6s	NUM
cana-1235	2	2	(	(	PUNCT
cana-1235	2	3	2024	2024	NUM
cana-1235	2	4	)	)	PUNCT
cana-1235	2	5	440	440	NUM
cana-1235	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1235	2	7	enhancing	enhance	VERB
cana-1235	2	8	flight	flight	NOUN
cana-1235	2	9	delay	delay	NOUN
cana-1235	2	10	prediction	prediction	NOUN
cana-1235	2	11	and	and	CCONJ
cana-1235	2	12	classification	classification	NOUN
cana-1235	2	13	using	use	VERB
cana-1235	2	14	a	a	DET
cana-1235	2	15	hybrid	hybrid	ADJ
cana-1235	2	16	bi	bi	NOUN
cana-1235	2	17	-	-	ADJ
cana-1235	2	18	lstm	lstm	ADJ
cana-1235	2	19	:	:	PUNCT
cana-1235	2	20	machine	machine	NOUN
cana-1235	2	21	learning	learn	VERB
cana-1235	2	22	sivakumar	sivakumar	PROPN
cana-1235	2	23	depuru1	depuru1	NOUN
cana-1235	2	24	,	,	PUNCT
cana-1235	2	25	srinivasulu	srinivasulu	ADJ
cana-1235	2	26	sirisala2	sirisala2	PROPN
cana-1235	2	27	,	,	PUNCT
cana-1235	2	28	kumar	kumar	PROPN
cana-1235	2	29	akuthota3	akuthota3	PROPN
cana-1235	2	30	,	,	PUNCT
cana-1235	2	31	b.v	b.v	PROPN
cana-1235	2	32	.	.	PROPN
cana-1235	2	33	suresh	suresh	PROPN
cana-1235	2	34	reddy4	reddy4	PROPN
cana-1235	2	35	,	,	PUNCT
cana-1235	2	36	k	k	PROPN
cana-1235	2	37	amala5	amala5	PROPN
cana-1235	2	38	,	,	PUNCT
cana-1235	2	39	s.	s.	PROPN
cana-1235	2	40	sivanantham6	sivanantham6	PROPN
cana-1235	2	41	1department	1department	NUM
cana-1235	2	42	of	of	ADP
cana-1235	2	43	cse	cse	PROPN
cana-1235	2	44	,	,	PUNCT
cana-1235	2	45	school	school	NOUN
cana-1235	2	46	of	of	ADP
cana-1235	2	47	computing	computing	NOUN
cana-1235	2	48	,	,	PUNCT
cana-1235	2	49	mohan	mohan	PROPN
cana-1235	2	50	babu	babu	PROPN
cana-1235	2	51	university	university	PROPN
cana-1235	2	52	,	,	PUNCT
cana-1235	2	53	tirupati	tirupati	PROPN
cana-1235	2	54	,	,	PUNCT
cana-1235	2	55	ap	ap	PROPN
cana-1235	2	56	,	,	PUNCT
cana-1235	2	57	india	india	PROPN
cana-1235	2	58	email	email	NOUN
cana-1235	2	59	:	:	PUNCT
cana-1235	2	60	sivakumar.d@vidyanikethan.edu	sivakumar.d@vidyanikethan.edu	PROPN
cana-1235	2	61	2department	2department	NUM
cana-1235	2	62	of	of	ADP
cana-1235	2	63	cse	cse	PROPN
cana-1235	2	64	,	,	PUNCT
cana-1235	2	65	cvr	cvr	NOUN
cana-1235	2	66	college	college	NOUN
cana-1235	2	67	of	of	ADP
cana-1235	2	68	engineering	engineering	PROPN
cana-1235	2	69	,	,	PUNCT
cana-1235	2	70	hyderabad	hyderabad	PROPN
cana-1235	2	71	,	,	PUNCT
cana-1235	2	72	telangana	telangana	PROPN
cana-1235	2	73	,	,	PUNCT
cana-1235	2	74	email	email	NOUN
cana-1235	2	75	:	:	PUNCT
cana-1235	3	1	vasusirisala@gmail.com	vasusirisala@gmail.com	X
cana-1235	3	2	3	3	NUM
cana-1235	3	3	department	department	NOUN
cana-1235	3	4	of	of	ADP
cana-1235	3	5	cse	cse	PROPN
cana-1235	3	6	,	,	PUNCT
cana-1235	3	7	school	school	NOUN
cana-1235	3	8	of	of	ADP
cana-1235	3	9	computers	computer	NOUN
cana-1235	3	10	,	,	PUNCT
cana-1235	3	11	madanapalle	madanapalle	PROPN
cana-1235	3	12	institute	institute	PROPN
cana-1235	3	13	of	of	ADP
cana-1235	3	14	technology	technology	PROPN
cana-1235	3	15	&	&	CCONJ
cana-1235	3	16	science	science	PROPN
cana-1235	3	17	,	,	PUNCT
cana-1235	3	18	madanapalle	madanapalle	PROPN
cana-1235	3	19	,	,	PUNCT
cana-1235	3	20	andhra	andhra	PROPN
cana-1235	3	21	pradesh	pradesh	PROPN
cana-1235	3	22	,	,	PUNCT
cana-1235	3	23	india	india	PROPN
cana-1235	3	24	,	,	PUNCT
cana-1235	3	25	email	email	NOUN
cana-1235	3	26	:	:	PUNCT
cana-1235	3	27	kumarcse5801@gmail.com	kumarcse5801@gmail.com	PROPN
cana-1235	4	1	4department	4department	NUM
cana-1235	4	2	of	of	ADP
cana-1235	4	3	cse	cse	PROPN
cana-1235	4	4	,	,	PUNCT
cana-1235	4	5	koneru	koneru	PROPN
cana-1235	4	6	lakshmaiah	lakshmaiah	PROPN
cana-1235	4	7	education	education	PROPN
cana-1235	4	8	foundation	foundation	PROPN
cana-1235	4	9	,	,	PUNCT
cana-1235	4	10	vaddeswaram	vaddeswaram	PROPN
cana-1235	4	11	,	,	PUNCT
cana-1235	4	12	guntur	guntur	PROPN
cana-1235	4	13	,	,	PUNCT
cana-1235	4	14	522302	522302	NUM
cana-1235	4	15	,	,	PUNCT
cana-1235	4	16	andhra	andhra	PROPN
cana-1235	4	17	pradesh	pradesh	PROPN
cana-1235	4	18	,	,	PUNCT
cana-1235	4	19	india	india	PROPN
cana-1235	4	20	,	,	PUNCT
cana-1235	4	21	email	email	NOUN
cana-1235	4	22	:	:	PUNCT
cana-1235	4	23	sureshvenkat83@gmail.com	sureshvenkat83@gmail.com	X
cana-1235	5	1	5department	5department	NUM
cana-1235	5	2	of	of	ADP
cana-1235	5	3	ece	ece	PROPN
cana-1235	5	4	,	,	PUNCT
cana-1235	5	5	sri	sri	PROPN
cana-1235	5	6	venkateswara	venkateswara	PROPN
cana-1235	5	7	college	college	PROPN
cana-1235	5	8	of	of	ADP
cana-1235	5	9	engineering	engineering	NOUN
cana-1235	5	10	(	(	PUNCT
cana-1235	5	11	autonomous	autonomous	ADJ
cana-1235	5	12	)	)	PUNCT
cana-1235	5	13	,	,	PUNCT
cana-1235	5	14	tirupati	tirupati	PROPN
cana-1235	5	15	,	,	PUNCT
cana-1235	5	16	email	email	NOUN
cana-1235	5	17	:	:	PUNCT
cana-1235	5	18	amala.k@svcolleges.edu.in	amala.k@svcolleges.edu.in	PRON
cana-1235	6	1	6dept	6dept	NUM
cana-1235	6	2	.	.	NOUN
cana-1235	6	3	of	of	ADP
cana-1235	6	4	cse	cse	PROPN
cana-1235	6	5	,	,	PUNCT
cana-1235	6	6	saveetha	saveetha	PROPN
cana-1235	6	7	school	school	PROPN
cana-1235	6	8	of	of	ADP
cana-1235	6	9	engineering	engineering	NOUN
cana-1235	6	10	,	,	PUNCT
cana-1235	6	11	simats	simat	NOUN
cana-1235	6	12	,	,	PUNCT
cana-1235	6	13	chennai	chennai	PROPN
cana-1235	6	14	,	,	PUNCT
cana-1235	6	15	sivananthams.sse@saveetha.com	sivananthams.sse@saveetha.com	PROPN
cana-1235	6	16	corresponding	corresponding	ADJ
cana-1235	6	17	author	author	NOUN
cana-1235	6	18	:	:	PUNCT
cana-1235	6	19	sivakumar.d@vidyanikethan.edu	sivakumar.d@vidyanikethan.edu	PROPN
cana-1235	6	20	article	article	NOUN
cana-1235	6	21	history	history	NOUN
cana-1235	6	22	:	:	PUNCT
cana-1235	6	23	received	receive	VERB
cana-1235	6	24	:	:	PUNCT
cana-1235	6	25	15	15	NUM
cana-1235	6	26	-	-	SYM
cana-1235	6	27	06	06	NUM
cana-1235	6	28	-	-	PUNCT
cana-1235	6	29	2024	2024	NUM
cana-1235	6	30	revised	revise	VERB
cana-1235	6	31	:	:	PUNCT
cana-1235	6	32	24	24	NUM
cana-1235	6	33	-	-	PUNCT
cana-1235	6	34	07	07	NUM
cana-1235	6	35	-	-	PUNCT
cana-1235	6	36	2024	2024	NUM
cana-1235	6	37	accepted	accept	VERB
cana-1235	6	38	:	:	PUNCT
cana-1235	6	39	02	02	NUM
cana-1235	6	40	-	-	PUNCT
cana-1235	6	41	08	08	NUM
cana-1235	6	42	-	-	PUNCT
cana-1235	6	43	2024	2024	NUM
cana-1235	6	44	abstract	abstract	NOUN
cana-1235	6	45	:	:	PUNCT
cana-1235	6	46	the	the	DET
cana-1235	6	47	flight	flight	NOUN
cana-1235	6	48	delay	delay	NOUN
cana-1235	6	49	prediction	prediction	NOUN
cana-1235	6	50	system	system	NOUN
cana-1235	6	51	plays	play	VERB
cana-1235	6	52	a	a	DET
cana-1235	6	53	vital	vital	ADJ
cana-1235	6	54	role	role	NOUN
cana-1235	6	55	in	in	ADP
cana-1235	6	56	the	the	DET
cana-1235	6	57	airlines	airline	NOUN
cana-1235	6	58	which	which	PRON
cana-1235	6	59	helps	help	VERB
cana-1235	6	60	to	to	PART
cana-1235	6	61	predict	predict	VERB
cana-1235	6	62	the	the	DET
cana-1235	6	63	delay	delay	NOUN
cana-1235	6	64	of	of	ADP
cana-1235	6	65	flight	flight	NOUN
cana-1235	6	66	in	in	ADP
cana-1235	6	67	real	real	ADJ
cana-1235	6	68	time	time	NOUN
cana-1235	6	69	.	.	PUNCT
cana-1235	7	1	airlines	airline	NOUN
cana-1235	7	2	must	must	AUX
cana-1235	7	3	estimate	estimate	VERB
cana-1235	7	4	flight	flight	NOUN
cana-1235	7	5	delays	delay	NOUN
cana-1235	7	6	accurately	accurately	ADV
cana-1235	7	7	because	because	SCONJ
cana-1235	7	8	the	the	DET
cana-1235	7	9	findings	finding	NOUN
cana-1235	7	10	can	can	AUX
cana-1235	7	11	be	be	AUX
cana-1235	7	12	used	use	VERB
cana-1235	7	13	to	to	PART
cana-1235	7	14	boost	boost	VERB
cana-1235	7	15	customer	customer	NOUN
cana-1235	7	16	satisfaction	satisfaction	NOUN
cana-1235	7	17	and	and	CCONJ
cana-1235	7	18	airline	airline	NOUN
cana-1235	7	19	agency	agency	NOUN
cana-1235	7	20	profits	profit	NOUN
cana-1235	7	21	.	.	PUNCT
cana-1235	8	1	this	this	DET
cana-1235	8	2	research	research	NOUN
cana-1235	8	3	introduces	introduce	VERB
cana-1235	8	4	a	a	DET
cana-1235	8	5	flight	flight	NOUN
cana-1235	8	6	delay	delay	NOUN
cana-1235	8	7	prediction	prediction	NOUN
cana-1235	8	8	framework	framework	NOUN
cana-1235	8	9	employing	employ	VERB
cana-1235	8	10	the	the	DET
cana-1235	8	11	bidirectional	bidirectional	ADJ
cana-1235	8	12	long	long	ADJ
cana-1235	8	13	short	short	ADJ
cana-1235	8	14	-	-	PUNCT
cana-1235	8	15	time	time	NOUN
cana-1235	8	16	memory	memory	NOUN
cana-1235	8	17	(	(	PUNCT
cana-1235	8	18	bi	bi	NOUN
cana-1235	8	19	-	-	ADJ
cana-1235	8	20	lstm	lstm	ADJ
cana-1235	8	21	)	)	PUNCT
cana-1235	8	22	model	model	NOUN
cana-1235	8	23	.	.	PUNCT
cana-1235	9	1	to	to	PART
cana-1235	9	2	capture	capture	VERB
cana-1235	9	3	the	the	DET
cana-1235	9	4	long	long	ADJ
cana-1235	9	5	-	-	PUNCT
cana-1235	9	6	term	term	NOUN
cana-1235	9	7	dependencies	dependency	NOUN
cana-1235	9	8	in	in	ADP
cana-1235	9	9	the	the	DET
cana-1235	9	10	sequential	sequential	ADJ
cana-1235	9	11	data	datum	NOUN
cana-1235	9	12	lstm	lstm	NOUN
cana-1235	9	13	works	work	VERB
cana-1235	9	14	as	as	ADP
cana-1235	9	15	a	a	DET
cana-1235	9	16	hybrid	hybrid	ADJ
cana-1235	9	17	component	component	NOUN
cana-1235	9	18	.	.	PUNCT
cana-1235	10	1	overcoming	overcome	VERB
cana-1235	10	2	the	the	DET
cana-1235	10	3	difficulties	difficulty	NOUN
cana-1235	10	4	faced	face	VERB
cana-1235	10	5	by	by	ADP
cana-1235	10	6	the	the	DET
cana-1235	10	7	airline	airline	NOUN
cana-1235	10	8	industries	industry	NOUN
cana-1235	10	9	mainly	mainly	ADV
cana-1235	10	10	focusing	focus	VERB
cana-1235	10	11	on	on	ADP
cana-1235	10	12	flight	flight	NOUN
cana-1235	10	13	on	on	ADP
cana-1235	10	14	-	-	PUNCT
cana-1235	10	15	time	time	NOUN
cana-1235	10	16	performance	performance	NOUN
cana-1235	10	17	and	and	CCONJ
cana-1235	10	18	the	the	DET
cana-1235	10	19	weather	weather	NOUN
cana-1235	10	20	data	data	VERB
cana-1235	10	21	through	through	ADP
cana-1235	10	22	the	the	DET
cana-1235	10	23	confusion	confusion	NOUN
cana-1235	10	24	matrix	matrix	NOUN
cana-1235	10	25	the	the	DET
cana-1235	10	26	results	result	NOUN
cana-1235	10	27	show	show	VERB
cana-1235	10	28	that	that	SCONJ
cana-1235	10	29	the	the	DET
cana-1235	10	30	bilstm	bilstm	NOUN
cana-1235	10	31	model	model	NOUN
cana-1235	10	32	improves	improve	VERB
cana-1235	10	33	the	the	DET
cana-1235	10	34	lstm	lstm	PROPN
cana-1235	10	35	model	model	NOUN
cana-1235	10	36	and	and	CCONJ
cana-1235	10	37	achieves	achieve	VERB
cana-1235	10	38	the	the	DET
cana-1235	10	39	maximum	maximum	ADJ
cana-1235	10	40	accuracy	accuracy	NOUN
cana-1235	10	41	.	.	PUNCT
cana-1235	11	1	the	the	DET
cana-1235	11	2	bilstm	bilstm	NOUN
cana-1235	11	3	model	model	NOUN
cana-1235	11	4	effectively	effectively	ADV
cana-1235	11	5	utilizes	utilize	VERB
cana-1235	11	6	both	both	CCONJ
cana-1235	11	7	forward	forward	ADV
cana-1235	11	8	and	and	CCONJ
cana-1235	11	9	backward	backward	ADJ
cana-1235	11	10	hidden	hidden	ADJ
cana-1235	11	11	sequences	sequence	NOUN
cana-1235	11	12	.	.	PUNCT
cana-1235	12	1	the	the	DET
cana-1235	12	2	outcomes	outcome	NOUN
cana-1235	12	3	demonstrate	demonstrate	VERB
cana-1235	12	4	the	the	DET
cana-1235	12	5	hybrid	hybrid	ADJ
cana-1235	12	6	bilstm	bilstm	NOUN
cana-1235	12	7	approach	approach	NOUN
cana-1235	12	8	's	's	PART
cana-1235	12	9	potential	potential	NOUN
cana-1235	12	10	as	as	ADP
cana-1235	12	11	a	a	DET
cana-1235	12	12	useful	useful	ADJ
cana-1235	12	13	instrument	instrument	NOUN
cana-1235	12	14	for	for	ADP
cana-1235	12	15	enhancing	enhance	VERB
cana-1235	12	16	flight	flight	NOUN
cana-1235	12	17	delay	delay	NOUN
cana-1235	12	18	management	management	NOUN
cana-1235	12	19	in	in	ADP
cana-1235	12	20	the	the	DET
cana-1235	12	21	aviation	aviation	NOUN
cana-1235	12	22	sector	sector	NOUN
cana-1235	12	23	.	.	PUNCT
cana-1235	13	1	keywords	keyword	NOUN
cana-1235	13	2	:	:	PUNCT
cana-1235	13	3	flight	flight	NOUN
cana-1235	13	4	delay	delay	NOUN
cana-1235	13	5	prediction	prediction	NOUN
cana-1235	13	6	system	system	NOUN
cana-1235	13	7	,	,	PUNCT
cana-1235	13	8	bi	bi	NOUN
cana-1235	13	9	-	-	ADJ
cana-1235	13	10	lstm	lstm	ADJ
cana-1235	13	11	,	,	PUNCT
cana-1235	13	12	lstm	lstm	ADJ
cana-1235	13	13	,	,	PUNCT
cana-1235	13	14	deep	deep	ADJ
cana-1235	13	15	graph	graph	NOUN
cana-1235	13	16	embedded	embed	VERB
cana-1235	13	17	lstm	lstm	NOUN
cana-1235	13	18	(	(	PUNCT
cana-1235	13	19	dglstm	dglstm	NOUN
cana-1235	13	20	)	)	PUNCT
cana-1235	13	21	,	,	PUNCT
cana-1235	13	22	lstm	lstm	NOUN
cana-1235	13	23	-	-	PUNCT
cana-1235	13	24	am	be	AUX
cana-1235	13	25	1	1	NUM
cana-1235	13	26	.	.	PUNCT
cana-1235	14	1	introduction	introduction	NOUN
cana-1235	14	2	air	air	NOUN
cana-1235	14	3	traffic	traffic	NOUN
cana-1235	14	4	surveillance	surveillance	NOUN
cana-1235	14	5	system	system	NOUN
cana-1235	14	6	is	be	AUX
cana-1235	14	7	a	a	DET
cana-1235	14	8	tremendous	tremendous	ADJ
cana-1235	14	9	technology	technology	NOUN
cana-1235	14	10	that	that	PRON
cana-1235	14	11	plays	play	VERB
cana-1235	14	12	a	a	DET
cana-1235	14	13	vital	vital	ADJ
cana-1235	14	14	role	role	NOUN
cana-1235	14	15	in	in	ADP
cana-1235	14	16	predicting	predict	VERB
cana-1235	14	17	flight	flight	NOUN
cana-1235	14	18	delays	delay	NOUN
cana-1235	14	19	due	due	ADP
cana-1235	14	20	to	to	ADP
cana-1235	14	21	natural	natural	ADJ
cana-1235	14	22	occurrences	occurrence	NOUN
cana-1235	14	23	and	and	CCONJ
cana-1235	14	24	operations	operation	NOUN
cana-1235	14	25	malfunctioning	malfunction	VERB
cana-1235	14	26	in	in	ADP
cana-1235	14	27	the	the	DET
cana-1235	14	28	airlines	airline	NOUN
cana-1235	14	29	.	.	PUNCT
cana-1235	15	1	not	not	PART
cana-1235	15	2	only	only	ADV
cana-1235	15	3	these	these	PRON
cana-1235	15	4	,	,	PUNCT
cana-1235	15	5	but	but	CCONJ
cana-1235	15	6	weather	weather	NOUN
cana-1235	15	7	and	and	CCONJ
cana-1235	15	8	air	air	NOUN
cana-1235	15	9	traffic	traffic	NOUN
cana-1235	15	10	conditions	condition	NOUN
cana-1235	15	11	also	also	ADV
cana-1235	15	12	affect	affect	VERB
cana-1235	15	13	the	the	DET
cana-1235	15	14	flight	flight	NOUN
cana-1235	15	15	delay	delay	NOUN
cana-1235	15	16	.	.	PUNCT
cana-1235	16	1	the	the	DET
cana-1235	16	2	present	present	ADJ
cana-1235	16	3	traditional	traditional	ADJ
cana-1235	16	4	surveillance	surveillance	NOUN
cana-1235	16	5	technology	technology	NOUN
cana-1235	16	6	can	can	AUX
cana-1235	16	7	not	not	PART
cana-1235	16	8	meet	meet	VERB
cana-1235	16	9	the	the	DET
cana-1235	16	10	requirements	requirement	NOUN
cana-1235	16	11	of	of	ADP
cana-1235	16	12	the	the	DET
cana-1235	16	13	future	future	NOUN
cana-1235	16	14	to	to	PART
cana-1235	16	15	control	control	VERB
cana-1235	16	16	air	air	NOUN
cana-1235	16	17	traffic	traffic	NOUN
cana-1235	16	18	.	.	PUNCT
cana-1235	17	1	the	the	DET
cana-1235	17	2	most	most	ADV
cana-1235	17	3	important	important	ADJ
cana-1235	17	4	challenge	challenge	NOUN
cana-1235	17	5	of	of	ADP
cana-1235	17	6	the	the	DET
cana-1235	17	7	airline	airline	NOUN
cana-1235	17	8	is	be	AUX
cana-1235	17	9	to	to	PART
cana-1235	17	10	predict	predict	VERB
cana-1235	17	11	the	the	DET
cana-1235	17	12	flight	flight	NOUN
cana-1235	17	13	delay	delay	NOUN
cana-1235	17	14	.	.	PUNCT
cana-1235	18	1	flight	flight	NOUN
cana-1235	18	2	delay	delay	NOUN
cana-1235	18	3	can	can	AUX
cana-1235	18	4	affect	affect	VERB
cana-1235	18	5	both	both	PRON
cana-1235	18	6	the	the	DET
cana-1235	18	7	passengers	passenger	NOUN
cana-1235	18	8	and	and	CCONJ
cana-1235	18	9	the	the	DET
cana-1235	18	10	airline	airline	NOUN
cana-1235	18	11	agencies	agency	NOUN
cana-1235	18	12	negatively	negatively	ADV
cana-1235	18	13	.	.	PUNCT
cana-1235	19	1	not	not	PART
cana-1235	19	2	only	only	ADV
cana-1235	19	3	these	these	PRON
cana-1235	19	4	the	the	DET
cana-1235	19	5	airline	airline	NOUN
cana-1235	19	6	agencies	agency	NOUN
cana-1235	19	7	have	have	VERB
cana-1235	19	8	to	to	PART
cana-1235	19	9	pay	pay	VERB
cana-1235	19	10	the	the	DET
cana-1235	19	11	compensation	compensation	NOUN
cana-1235	19	12	to	to	ADP
cana-1235	19	13	the	the	DET
cana-1235	19	14	passengers	passenger	NOUN
cana-1235	19	15	,	,	PUNCT
cana-1235	19	16	depending	depend	VERB
cana-1235	19	17	upon	upon	SCONJ
cana-1235	19	18	the	the	DET
cana-1235	19	19	delay	delay	NOUN
cana-1235	19	20	airlines	airline	NOUN
cana-1235	19	21	must	must	AUX
cana-1235	19	22	provide	provide	VERB
cana-1235	19	23	refreshments	refreshment	NOUN
cana-1235	19	24	and	and	CCONJ
cana-1235	19	25	arrange	arrange	VERB
cana-1235	19	26	alternative	alternative	ADJ
cana-1235	19	27	mailto:sivananthams.sse@saveetha.com	mailto:sivananthams.sse@saveetha.com	NOUN
cana-1235	19	28	communications	communication	NOUN
cana-1235	19	29	on	on	ADP
cana-1235	19	30	applied	apply	VERB
cana-1235	19	31	nonlinear	nonlinear	ADJ
cana-1235	19	32	analysis	analysis	NOUN
cana-1235	19	33	issn	issn	NOUN
cana-1235	19	34	:	:	PUNCT
cana-1235	19	35	1074	1074	NUM
cana-1235	19	36	-	-	PUNCT
cana-1235	19	37	133x	133x	NUM
cana-1235	19	38	vol	vol	NOUN
cana-1235	19	39	31	31	NUM
cana-1235	19	40	no	no	NOUN
cana-1235	19	41	.	.	PUNCT
cana-1235	20	1	6s	6s	NUM
cana-1235	20	2	(	(	PUNCT
cana-1235	20	3	2024	2024	NUM
cana-1235	20	4	)	)	PUNCT
cana-1235	20	5	441	441	NUM
cana-1235	20	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1235	20	7	flights	flight	NOUN
cana-1235	20	8	.	.	PUNCT
cana-1235	21	1	all	all	DET
cana-1235	21	2	these	these	DET
cana-1235	21	3	effects	effect	NOUN
cana-1235	21	4	the	the	DET
cana-1235	21	5	airline	airline	NOUN
cana-1235	21	6	's	's	PART
cana-1235	21	7	economy	economy	NOUN
cana-1235	21	8	goes	go	VERB
cana-1235	21	9	down.to	down.to	PRON
cana-1235	21	10	avoid	avoid	VERB
cana-1235	21	11	all	all	DET
cana-1235	21	12	these	these	DET
cana-1235	21	13	constraints	constraint	NOUN
cana-1235	21	14	it	it	PRON
cana-1235	21	15	is	be	AUX
cana-1235	21	16	necessary	necessary	ADJ
cana-1235	21	17	to	to	PART
cana-1235	21	18	predict	predict	VERB
cana-1235	21	19	the	the	DET
cana-1235	21	20	delay	delay	NOUN
cana-1235	21	21	of	of	ADP
cana-1235	21	22	flight	flight	NOUN
cana-1235	21	23	.	.	PUNCT
cana-1235	22	1	in	in	ADP
cana-1235	22	2	the	the	DET
cana-1235	22	3	conceptual	conceptual	ADJ
cana-1235	22	4	models	model	NOUN
cana-1235	22	5	,	,	PUNCT
cana-1235	22	6	there	there	PRON
cana-1235	22	7	are	be	VERB
cana-1235	22	8	still	still	ADV
cana-1235	22	9	issues	issue	NOUN
cana-1235	22	10	with	with	ADP
cana-1235	22	11	conventional	conventional	ADJ
cana-1235	22	12	algorithms	algorithm	NOUN
cana-1235	22	13	in	in	ADP
cana-1235	22	14	the	the	DET
cana-1235	22	15	aircraft	aircraft	NOUN
cana-1235	22	16	trajectory	trajectory	NOUN
cana-1235	22	17	prediction	prediction	NOUN
cana-1235	22	18	field	field	NOUN
cana-1235	22	19	today	today	NOUN
cana-1235	22	20	,	,	PUNCT
cana-1235	22	21	which	which	PRON
cana-1235	22	22	were	be	AUX
cana-1235	22	23	mostly	mostly	ADV
cana-1235	22	24	created	create	VERB
cana-1235	22	25	for	for	ADP
cana-1235	22	26	land	land	NOUN
cana-1235	22	27	traffic	traffic	NOUN
cana-1235	22	28	.	.	PUNCT
cana-1235	23	1	one	one	NUM
cana-1235	23	2	major	major	ADJ
cana-1235	23	3	challenge	challenge	NOUN
cana-1235	23	4	is	be	AUX
cana-1235	23	5	the	the	DET
cana-1235	23	6	sparseness	sparseness	ADJ
cana-1235	23	7	of	of	ADP
cana-1235	23	8	waypoints	waypoint	NOUN
cana-1235	23	9	in	in	ADP
cana-1235	23	10	flight	flight	NOUN
cana-1235	23	11	trajectories	trajectory	NOUN
cana-1235	23	12	[	[	X
cana-1235	23	13	15	15	NUM
cana-1235	23	14	]	]	PUNCT
cana-1235	23	15	.	.	PUNCT
cana-1235	24	1	current	current	ADJ
cana-1235	24	2	models	model	NOUN
cana-1235	24	3	,	,	PUNCT
cana-1235	24	4	which	which	PRON
cana-1235	24	5	rely	rely	VERB
cana-1235	24	6	on	on	ADP
cana-1235	24	7	points	point	NOUN
cana-1235	24	8	of	of	ADP
cana-1235	24	9	interest	interest	NOUN
cana-1235	24	10	are	be	AUX
cana-1235	24	11	not	not	PART
cana-1235	24	12	well	well	ADV
cana-1235	24	13	-	-	PUNCT
cana-1235	24	14	suited	suit	VERB
cana-1235	24	15	to	to	PART
cana-1235	24	16	deal	deal	VERB
cana-1235	24	17	with	with	ADP
cana-1235	24	18	dynamic	dynamic	ADJ
cana-1235	24	19	flying	fly	VERB
cana-1235	24	20	situations	situation	NOUN
cana-1235	24	21	.	.	PUNCT
cana-1235	25	1	furthermore	furthermore	ADV
cana-1235	25	2	,	,	PUNCT
cana-1235	25	3	the	the	DET
cana-1235	25	4	difficulty	difficulty	NOUN
cana-1235	25	5	of	of	ADP
cana-1235	25	6	making	make	VERB
cana-1235	25	7	precise	precise	ADJ
cana-1235	25	8	trajectory	trajectory	NOUN
cana-1235	25	9	predictions	prediction	NOUN
cana-1235	25	10	is	be	AUX
cana-1235	25	11	further	far	ADV
cana-1235	25	12	complicated	complicate	VERB
cana-1235	25	13	by	by	ADP
cana-1235	25	14	external	external	ADJ
cana-1235	25	15	factors	factor	NOUN
cana-1235	25	16	that	that	PRON
cana-1235	25	17	impact	impact	VERB
cana-1235	25	18	flight	flight	NOUN
cana-1235	25	19	envelopes	envelope	NOUN
cana-1235	25	20	.	.	PUNCT
cana-1235	26	1	on	on	ADP
cana-1235	26	2	the	the	DET
cana-1235	26	3	flight	flight	NOUN
cana-1235	26	4	delays	delay	NOUN
cana-1235	26	5	issue	issue	NOUN
cana-1235	26	6	,	,	PUNCT
cana-1235	26	7	numerous	numerous	ADJ
cana-1235	26	8	scholars	scholar	NOUN
cana-1235	26	9	have	have	AUX
cana-1235	26	10	examined	examine	VERB
cana-1235	26	11	and	and	CCONJ
cana-1235	26	12	proposed	propose	VERB
cana-1235	26	13	many	many	ADJ
cana-1235	26	14	solutions	solution	NOUN
cana-1235	26	15	.	.	PUNCT
cana-1235	27	1	flight	flight	NOUN
cana-1235	27	2	delays	delay	NOUN
cana-1235	27	3	predicted	predict	VERB
cana-1235	27	4	by	by	ADP
cana-1235	27	5	cnn	cnn	PROPN
cana-1235	27	6	are	be	AUX
cana-1235	27	7	to	to	PART
cana-1235	27	8	be	be	AUX
cana-1235	27	9	designed	design	VERB
cana-1235	27	10	for	for	ADP
cana-1235	27	11	the	the	DET
cana-1235	27	12	tasks	task	NOUN
cana-1235	27	13	which	which	PRON
cana-1235	27	14	are	be	AUX
cana-1235	27	15	involving	involve	VERB
cana-1235	27	16	in	in	ADP
cana-1235	27	17	spatial	spatial	ADJ
cana-1235	27	18	relationships	relationship	NOUN
cana-1235	27	19	,	,	PUNCT
cana-1235	27	20	collecting	collect	VERB
cana-1235	27	21	the	the	DET
cana-1235	27	22	relevant	relevant	ADJ
cana-1235	27	23	information	information	NOUN
cana-1235	27	24	like	like	ADP
cana-1235	27	25	previous	previous	ADJ
cana-1235	27	26	data	datum	NOUN
cana-1235	27	27	like	like	ADP
cana-1235	27	28	weather	weather	NOUN
cana-1235	27	29	,	,	PUNCT
cana-1235	27	30	airport	airport	NOUN
cana-1235	27	31	traffic	traffic	NOUN
cana-1235	27	32	,	,	PUNCT
cana-1235	27	33	and	and	CCONJ
cana-1235	27	34	other	other	ADJ
cana-1235	27	35	factors	factor	NOUN
cana-1235	27	36	causing	cause	VERB
cana-1235	27	37	delays	delay	NOUN
cana-1235	27	38	which	which	PRON
cana-1235	27	39	were	be	AUX
cana-1235	27	40	used	use	VERB
cana-1235	27	41	to	to	PART
cana-1235	27	42	test	test	VERB
cana-1235	27	43	the	the	DET
cana-1235	27	44	metrics	metric	NOUN
cana-1235	27	45	mean	mean	VERB
cana-1235	27	46	absolute	absolute	ADJ
cana-1235	27	47	error	error	NOUN
cana-1235	27	48	or	or	CCONJ
cana-1235	27	49	the	the	DET
cana-1235	27	50	mean	mean	ADJ
cana-1235	27	51	squared	square	VERB
cana-1235	27	52	error	error	NOUN
cana-1235	27	53	[	[	X
cana-1235	27	54	11	11	NUM
cana-1235	27	55	]	]	PUNCT
cana-1235	27	56	.	.	PUNCT
cana-1235	28	1	cnns	cnns	PROPN
cana-1235	28	2	may	may	AUX
cana-1235	28	3	find	find	VERB
cana-1235	28	4	it	it	PRON
cana-1235	28	5	difficult	difficult	ADJ
cana-1235	28	6	to	to	PART
cana-1235	28	7	accurately	accurately	ADV
cana-1235	28	8	model	model	VERB
cana-1235	28	9	the	the	DET
cana-1235	28	10	temporal	temporal	ADJ
cana-1235	28	11	features	feature	NOUN
cana-1235	28	12	and	and	CCONJ
cana-1235	28	13	also	also	ADV
cana-1235	28	14	,	,	PUNCT
cana-1235	28	15	they	they	PRON
cana-1235	28	16	do	do	AUX
cana-1235	28	17	n't	not	PART
cana-1235	28	18	naturally	naturally	ADV
cana-1235	28	19	capture	capture	VERB
cana-1235	28	20	complex	complex	ADJ
cana-1235	28	21	connections	connection	NOUN
cana-1235	28	22	between	between	ADP
cana-1235	28	23	various	various	ADJ
cana-1235	28	24	kinds	kind	NOUN
cana-1235	28	25	of	of	ADP
cana-1235	28	26	features	feature	NOUN
cana-1235	28	27	like	like	ADP
cana-1235	28	28	weather	weather	NOUN
cana-1235	28	29	data	datum	NOUN
cana-1235	28	30	and	and	CCONJ
cana-1235	28	31	airport	airport	NOUN
cana-1235	28	32	traffic	traffic	NOUN
cana-1235	28	33	delays	delay	NOUN
cana-1235	28	34	.	.	PUNCT
cana-1235	29	1	in	in	ADP
cana-1235	29	2	the	the	DET
cana-1235	29	3	lstm	lstm	NOUN
cana-1235	29	4	-	-	PUNCT
cana-1235	29	5	based	base	VERB
cana-1235	29	6	flight	flight	NOUN
cana-1235	29	7	prediction	prediction	NOUN
cana-1235	29	8	model	model	NOUN
cana-1235	29	9	lstm	lstm	NOUN
cana-1235	29	10	networks	network	NOUN
cana-1235	29	11	are	be	AUX
cana-1235	29	12	used	use	VERB
cana-1235	29	13	as	as	ADP
cana-1235	29	14	the	the	DET
cana-1235	29	15	recurrent	recurrent	ADJ
cana-1235	29	16	neural	neural	ADJ
cana-1235	29	17	networks	network	NOUN
cana-1235	29	18	designed	design	VERB
cana-1235	29	19	to	to	PART
cana-1235	29	20	address	address	VERB
cana-1235	29	21	the	the	DET
cana-1235	29	22	challenges	challenge	NOUN
cana-1235	29	23	of	of	ADP
cana-1235	29	24	capturing	capture	VERB
cana-1235	29	25	the	the	DET
cana-1235	29	26	long	long	ADJ
cana-1235	29	27	-	-	PUNCT
cana-1235	29	28	term	term	NOUN
cana-1235	29	29	problems	problem	NOUN
cana-1235	29	30	in	in	ADP
cana-1235	29	31	the	the	DET
cana-1235	29	32	sequential	sequential	ADJ
cana-1235	29	33	data	datum	NOUN
cana-1235	29	34	.	.	PUNCT
cana-1235	30	1	the	the	DET
cana-1235	30	2	neural	neural	ADJ
cana-1235	30	3	networks	network	NOUN
cana-1235	30	4	have	have	VERB
cana-1235	30	5	an	an	DET
cana-1235	30	6	issue	issue	NOUN
cana-1235	30	7	to	to	PART
cana-1235	30	8	identify	identify	VERB
cana-1235	30	9	the	the	DET
cana-1235	30	10	particular	particular	ADJ
cana-1235	30	11	cause	cause	NOUN
cana-1235	30	12	of	of	ADP
cana-1235	30	13	the	the	DET
cana-1235	30	14	flight	flight	NOUN
cana-1235	30	15	delay	delay	NOUN
cana-1235	30	16	by	by	ADP
cana-1235	30	17	external	external	ADJ
cana-1235	30	18	factors	factor	NOUN
cana-1235	30	19	[	[	X
cana-1235	30	20	12	12	NUM
cana-1235	30	21	]	]	PUNCT
cana-1235	30	22	.	.	PUNCT
cana-1235	31	1	as	as	ADP
cana-1235	31	2	part	part	NOUN
cana-1235	31	3	of	of	ADP
cana-1235	31	4	the	the	DET
cana-1235	31	5	proposed	propose	VERB
cana-1235	31	6	system	system	NOUN
cana-1235	31	7	,	,	PUNCT
cana-1235	31	8	flight	flight	NOUN
cana-1235	31	9	delay	delay	NOUN
cana-1235	31	10	prediction	prediction	NOUN
cana-1235	31	11	is	be	AUX
cana-1235	31	12	built	build	VERB
cana-1235	31	13	to	to	PART
cana-1235	31	14	address	address	VERB
cana-1235	31	15	all	all	DET
cana-1235	31	16	these	these	DET
cana-1235	31	17	challenges	challenge	NOUN
cana-1235	31	18	by	by	ADP
cana-1235	31	19	using	use	VERB
cana-1235	31	20	the	the	DET
cana-1235	31	21	hybrid	hybrid	ADJ
cana-1235	31	22	bilstm	bilstm	NOUN
cana-1235	31	23	mechanism	mechanism	NOUN
cana-1235	31	24	.	.	PUNCT
cana-1235	32	1	it	it	PRON
cana-1235	32	2	is	be	AUX
cana-1235	32	3	also	also	ADV
cana-1235	32	4	highlighted	highlight	VERB
cana-1235	32	5	that	that	SCONJ
cana-1235	32	6	this	this	DET
cana-1235	32	7	bilstm	bilstm	NOUN
cana-1235	32	8	technique	technique	NOUN
cana-1235	32	9	utilizes	utilize	VERB
cana-1235	32	10	both	both	CCONJ
cana-1235	32	11	forward	forward	ADV
cana-1235	32	12	and	and	CCONJ
cana-1235	32	13	backward	backward	ADJ
cana-1235	32	14	hidden	hide	VERB
cana-1235	32	15	sequences	sequence	NOUN
cana-1235	32	16	which	which	PRON
cana-1235	32	17	is	be	AUX
cana-1235	32	18	superior	superior	ADJ
cana-1235	33	1	[	[	X
cana-1235	33	2	14	14	NUM
cana-1235	33	3	]	]	PUNCT
cana-1235	33	4	.	.	PUNCT
cana-1235	34	1	this	this	DET
cana-1235	34	2	system	system	NOUN
cana-1235	34	3	is	be	AUX
cana-1235	34	4	designed	design	VERB
cana-1235	34	5	to	to	PART
cana-1235	34	6	deal	deal	VERB
cana-1235	34	7	with	with	ADP
cana-1235	34	8	the	the	DET
cana-1235	34	9	challenges	challenge	NOUN
cana-1235	34	10	that	that	PRON
cana-1235	34	11	are	be	AUX
cana-1235	34	12	generated	generate	VERB
cana-1235	34	13	by	by	ADP
cana-1235	34	14	the	the	DET
cana-1235	34	15	airline	airline	NOUN
cana-1235	34	16	's	's	PART
cana-1235	34	17	delays	delay	NOUN
cana-1235	34	18	and	and	CCONJ
cana-1235	34	19	to	to	PART
cana-1235	34	20	provide	provide	VERB
cana-1235	34	21	important	important	ADJ
cana-1235	34	22	information	information	NOUN
cana-1235	34	23	on	on	ADP
cana-1235	34	24	who	who	PRON
cana-1235	34	25	is	be	AUX
cana-1235	34	26	involved	involve	VERB
cana-1235	34	27	in	in	ADP
cana-1235	34	28	the	the	DET
cana-1235	34	29	airline	airline	NOUN
cana-1235	34	30	industries	industry	NOUN
cana-1235	34	31	for	for	ADP
cana-1235	34	32	improving	improve	VERB
cana-1235	34	33	flight	flight	NOUN
cana-1235	34	34	delay	delay	NOUN
cana-1235	34	35	prediction	prediction	NOUN
cana-1235	34	36	through	through	ADP
cana-1235	34	37	a	a	DET
cana-1235	34	38	hybrid	hybrid	ADJ
cana-1235	34	39	bidirectional	bidirectional	NOUN
cana-1235	34	40	long	long	ADJ
cana-1235	34	41	short	short	ADJ
cana-1235	34	42	-	-	PUNCT
cana-1235	34	43	term	term	NOUN
cana-1235	34	44	memory	memory	NOUN
cana-1235	34	45	[	[	X
cana-1235	34	46	16	16	NUM
cana-1235	34	47	]	]	PUNCT
cana-1235	34	48	.	.	PUNCT
cana-1235	35	1	2	2	X
cana-1235	35	2	.	.	X
cana-1235	35	3	literature	literature	NOUN
cana-1235	35	4	survey	survey	PROPN
cana-1235	35	5	jingyi	jingyi	PROPN
cana-1235	35	6	quetal	quetal	NOUN
cana-1235	35	7	et	et	PROPN
cana-1235	35	8	al	al	PROPN
cana-1235	36	1	[	[	X
cana-1235	36	2	1	1	X
cana-1235	36	3	]	]	PUNCT
cana-1235	36	4	introduced	introduce	VERB
cana-1235	36	5	the	the	DET
cana-1235	36	6	att	att	PROPN
cana-1235	36	7	-	-	PUNCT
cana-1235	36	8	conv	conv	ADJ
cana-1235	36	9	-	-	PUNCT
cana-1235	36	10	lstm	lstm	ADJ
cana-1235	36	11	system	system	NOUN
cana-1235	36	12	to	to	PART
cana-1235	36	13	predict	predict	VERB
cana-1235	36	14	flight	flight	NOUN
cana-1235	36	15	delay	delay	NOUN
cana-1235	36	16	prediction	prediction	NOUN
cana-1235	36	17	.	.	PUNCT
cana-1235	37	1	this	this	DET
cana-1235	37	2	system	system	NOUN
cana-1235	37	3	obtained	obtain	VERB
cana-1235	37	4	more	more	ADJ
cana-1235	37	5	accuracy	accuracy	NOUN
cana-1235	37	6	to	to	PART
cana-1235	37	7	predict	predict	VERB
cana-1235	37	8	the	the	DET
cana-1235	37	9	flight	flight	NOUN
cana-1235	37	10	delay	delay	NOUN
cana-1235	37	11	prediction	prediction	NOUN
cana-1235	37	12	.	.	PUNCT
cana-1235	38	1	it	it	PRON
cana-1235	38	2	addressed	address	VERB
cana-1235	38	3	the	the	DET
cana-1235	38	4	challenges	challenge	NOUN
cana-1235	38	5	in	in	ADP
cana-1235	38	6	the	the	DET
cana-1235	38	7	actual	actual	ADJ
cana-1235	38	8	flight	flight	NOUN
cana-1235	38	9	delay	delay	NOUN
cana-1235	38	10	prediction	prediction	NOUN
cana-1235	38	11	and	and	CCONJ
cana-1235	38	12	it	it	PRON
cana-1235	38	13	enhanced	enhance	VERB
cana-1235	38	14	prediction	prediction	NOUN
cana-1235	38	15	capabilities	capability	NOUN
cana-1235	38	16	.	.	PUNCT
cana-1235	39	1	this	this	DET
cana-1235	39	2	system	system	NOUN
cana-1235	39	3	fills	fill	VERB
cana-1235	39	4	the	the	DET
cana-1235	39	5	gap	gap	NOUN
cana-1235	39	6	between	between	ADP
cana-1235	39	7	the	the	DET
cana-1235	39	8	temporal	temporal	ADJ
cana-1235	39	9	and	and	CCONJ
cana-1235	39	10	spatial	spatial	ADJ
cana-1235	39	11	dimensions	dimension	NOUN
cana-1235	39	12	for	for	ADP
cana-1235	39	13	the	the	DET
cana-1235	39	14	effective	effective	ADJ
cana-1235	39	15	efficiency	efficiency	NOUN
cana-1235	39	16	of	of	ADP
cana-1235	39	17	flight	flight	NOUN
cana-1235	39	18	delay	delay	NOUN
cana-1235	39	19	prediction	prediction	NOUN
cana-1235	39	20	by	by	ADP
cana-1235	39	21	considering	consider	VERB
cana-1235	39	22	the	the	DET
cana-1235	39	23	meteorological	meteorological	ADJ
cana-1235	39	24	data	datum	NOUN
cana-1235	39	25	for	for	ADP
cana-1235	39	26	a	a	DET
cana-1235	39	27	particular	particular	ADJ
cana-1235	39	28	delay	delay	NOUN
cana-1235	39	29	time	time	NOUN
cana-1235	39	30	.	.	PUNCT
cana-1235	40	1	methods	method	NOUN
cana-1235	40	2	used	use	VERB
cana-1235	40	3	in	in	ADP
cana-1235	40	4	this	this	DET
cana-1235	40	5	system	system	NOUN
cana-1235	40	6	were	be	AUX
cana-1235	40	7	attconv	attconv	ADJ
cana-1235	40	8	-	-	PUNCT
cana-1235	40	9	lstm	lstm	NOUN
cana-1235	40	10	-	-	PUNCT
cana-1235	40	11	based	base	VERB
cana-1235	40	12	deep	deep	ADJ
cana-1235	40	13	learning	learning	NOUN
cana-1235	40	14	,	,	PUNCT
cana-1235	40	15	linear	linear	ADJ
cana-1235	40	16	regression	regression	NOUN
cana-1235	40	17	,	,	PUNCT
cana-1235	40	18	decision	decision	NOUN
cana-1235	40	19	tree	tree	NOUN
cana-1235	40	20	regression	regression	NOUN
cana-1235	40	21	,	,	PUNCT
cana-1235	40	22	and	and	CCONJ
cana-1235	40	23	random	random	ADJ
cana-1235	40	24	forest	forest	NOUN
cana-1235	40	25	regression	regression	NOUN
cana-1235	40	26	for	for	ADP
cana-1235	40	27	predicting	predict	VERB
cana-1235	40	28	flight	flight	NOUN
cana-1235	40	29	delays	delay	NOUN
cana-1235	40	30	.	.	PUNCT
cana-1235	41	1	the	the	DET
cana-1235	41	2	att	att	PROPN
cana-1235	41	3	-	-	PUNCT
cana-1235	41	4	conv	conv	ADJ
cana-1235	41	5	-	-	PUNCT
cana-1235	41	6	lstm	lstm	ADJ
cana-1235	41	7	model	model	NOUN
cana-1235	41	8	improved	improve	VERB
cana-1235	41	9	the	the	DET
cana-1235	41	10	flight	flight	NOUN
cana-1235	41	11	delay	delay	NOUN
cana-1235	41	12	prediction	prediction	NOUN
cana-1235	41	13	accuracy	accuracy	NOUN
cana-1235	41	14	the	the	DET
cana-1235	41	15	prediction	prediction	NOUN
cana-1235	41	16	error	error	NOUN
cana-1235	41	17	of	of	ADP
cana-1235	41	18	this	this	DET
cana-1235	41	19	system	system	NOUN
cana-1235	41	20	was	be	AUX
cana-1235	41	21	reduced	reduce	VERB
cana-1235	41	22	by	by	ADP
cana-1235	41	23	11.41	11.41	NUM
cana-1235	41	24	%	%	NOUN
cana-1235	41	25	.	.	PUNCT
cana-1235	42	1	a	a	DET
cana-1235	42	2	method	method	NOUN
cana-1235	42	3	of	of	ADP
cana-1235	42	4	reducing	reduce	VERB
cana-1235	42	5	flight	flight	NOUN
cana-1235	42	6	delay	delay	NOUN
cana-1235	42	7	prediction	prediction	NOUN
cana-1235	42	8	by	by	ADP
cana-1235	42	9	exploring	explore	VERB
cana-1235	42	10	the	the	DET
cana-1235	42	11	internal	internal	ADJ
cana-1235	42	12	mechanism	mechanism	NOUN
cana-1235	42	13	of	of	ADP
cana-1235	42	14	flight	flight	NOUN
cana-1235	42	15	delays	delay	NOUN
cana-1235	42	16	by	by	ADP
cana-1235	42	17	yakun	yakun	PROPN
cana-1235	42	18	cao	cao	PROPN
cana-1235	42	19	et	et	PROPN
cana-1235	42	20	al	al	PROPN
cana-1235	43	1	[	[	X
cana-1235	43	2	2	2	NUM
cana-1235	43	3	,	,	PUNCT
cana-1235	43	4	17	17	NUM
cana-1235	43	5	]	]	PUNCT
cana-1235	43	6	utilized	utilize	VERB
cana-1235	43	7	statistical	statistical	ADJ
cana-1235	43	8	analysis	analysis	NOUN
cana-1235	43	9	and	and	CCONJ
cana-1235	43	10	also	also	ADV
cana-1235	43	11	mathematical	mathematical	VERB
cana-1235	43	12	modeling	modeling	NOUN
cana-1235	43	13	to	to	PART
cana-1235	43	14	examine	examine	VERB
cana-1235	43	15	the	the	DET
cana-1235	43	16	internal	internal	ADJ
cana-1235	43	17	mechanism	mechanism	NOUN
cana-1235	43	18	of	of	ADP
cana-1235	43	19	flight	flight	NOUN
cana-1235	43	20	delays	delay	NOUN
cana-1235	43	21	especially	especially	ADV
cana-1235	43	22	the	the	DET
cana-1235	43	23	departure	departure	NOUN
cana-1235	43	24	delays	delay	NOUN
cana-1235	43	25	for	for	ADP
cana-1235	43	26	delta	delta	PROPN
cana-1235	43	27	air	air	NOUN
cana-1235	43	28	lines	line	NOUN
cana-1235	43	29	for	for	ADP
cana-1235	43	30	this	this	PRON
cana-1235	43	31	in	in	ADP
cana-1235	43	32	this	this	DET
cana-1235	43	33	system	system	NOUN
cana-1235	43	34	the	the	DET
cana-1235	43	35	power	power	NOUN
cana-1235	43	36	law	law	NOUN
cana-1235	43	37	and	and	CCONJ
cana-1235	43	38	the	the	DET
cana-1235	43	39	shifted	shift	VERB
cana-1235	43	40	power	power	NOUN
cana-1235	43	41	law	law	NOUN
cana-1235	43	42	is	be	AUX
cana-1235	43	43	used	use	VERB
cana-1235	43	44	.	.	PUNCT
cana-1235	44	1	a	a	DET
cana-1235	44	2	particular	particular	ADJ
cana-1235	44	3	metric	metric	NOUN
cana-1235	44	4	for	for	ADP
cana-1235	44	5	creating	create	VERB
cana-1235	44	6	flight	flight	NOUN
cana-1235	44	7	schedules	schedule	NOUN
cana-1235	44	8	is	be	AUX
cana-1235	44	9	generated	generate	VERB
cana-1235	44	10	from	from	ADP
cana-1235	44	11	the	the	DET
cana-1235	44	12	mathematical	mathematical	ADJ
cana-1235	44	13	statics	statics	PROPN
cana-1235	44	14	approach	approach	NOUN
cana-1235	44	15	.	.	PUNCT
cana-1235	45	1	this	this	DET
cana-1235	45	2	system	system	NOUN
cana-1235	45	3	seeks	seek	VERB
cana-1235	45	4	to	to	PART
cana-1235	45	5	cut	cut	VERB
cana-1235	45	6	the	the	DET
cana-1235	45	7	flight	flight	NOUN
cana-1235	45	8	delays	delay	NOUN
cana-1235	45	9	without	without	ADP
cana-1235	45	10	raising	raise	VERB
cana-1235	45	11	the	the	DET
cana-1235	45	12	operating	operating	NOUN
cana-1235	45	13	costs	cost	NOUN
cana-1235	45	14	.	.	PUNCT
cana-1235	46	1	utilizing	utilize	VERB
cana-1235	46	2	the	the	DET
cana-1235	46	3	stacking	stacking	NOUN
cana-1235	46	4	algorithm	algorithm	NOUN
cana-1235	46	5	which	which	PRON
cana-1235	46	6	is	be	AUX
cana-1235	46	7	a	a	DET
cana-1235	46	8	group	group	NOUN
cana-1235	46	9	learning	learning	NOUN
cana-1235	46	10	method	method	NOUN
cana-1235	46	11	that	that	PRON
cana-1235	46	12	enhances	enhance	VERB
cana-1235	46	13	predictive	predictive	ADJ
cana-1235	46	14	performance	performance	NOUN
cana-1235	46	15	through	through	ADP
cana-1235	46	16	the	the	DET
cana-1235	46	17	combination	combination	NOUN
cana-1235	46	18	of	of	ADP
cana-1235	46	19	several	several	ADJ
cana-1235	46	20	basic	basic	ADJ
cana-1235	46	21	models	model	NOUN
cana-1235	46	22	,	,	PUNCT
cana-1235	46	23	jia	jia	PROPN
cana-1235	46	24	yi	yi	PROPN
cana-1235	46	25	et	et	PROPN
cana-1235	46	26	al[3	al[3	NOUN
cana-1235	46	27	,	,	PUNCT
cana-1235	46	28	18l	18l	NOUN
cana-1235	46	29	predicted	predict	VERB
cana-1235	46	30	the	the	DET
cana-1235	46	31	flight	flight	NOUN
cana-1235	46	32	delays	delay	NOUN
cana-1235	46	33	by	by	ADP
cana-1235	46	34	employing	employ	VERB
cana-1235	46	35	the	the	DET
cana-1235	46	36	second	second	ADJ
cana-1235	46	37	-	-	PUNCT
cana-1235	46	38	level	level	NOUN
cana-1235	46	39	learner	learner	NOUN
cana-1235	46	40	logistic	logistic	ADJ
cana-1235	46	41	regression	regression	NOUN
cana-1235	46	42	and	and	CCONJ
cana-1235	46	43	the	the	DET
cana-1235	46	44	first	first	ADJ
cana-1235	46	45	five	five	NUM
cana-1235	46	46	levels	level	NOUN
cana-1235	46	47	which	which	PRON
cana-1235	46	48	are	be	AUX
cana-1235	46	49	communications	communication	NOUN
cana-1235	46	50	on	on	ADP
cana-1235	46	51	applied	apply	VERB
cana-1235	46	52	nonlinear	nonlinear	ADJ
cana-1235	46	53	analysis	analysis	NOUN
cana-1235	46	54	issn	issn	NOUN
cana-1235	46	55	:	:	PUNCT
cana-1235	46	56	1074	1074	NUM
cana-1235	46	57	-	-	PUNCT
cana-1235	46	58	133x	133x	NUM
cana-1235	46	59	vol	vol	NOUN
cana-1235	46	60	31	31	NUM
cana-1235	46	61	no	no	NOUN
cana-1235	46	62	.	.	PUNCT
cana-1235	47	1	6s	6s	NUM
cana-1235	47	2	(	(	PUNCT
cana-1235	47	3	2024	2024	NUM
cana-1235	47	4	)	)	PUNCT
cana-1235	47	5	442	442	NUM
cana-1235	47	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1235	47	7	supervised	supervised	ADJ
cana-1235	47	8	machine	machine	NOUN
cana-1235	47	9	learning	learn	VERB
cana-1235	47	10	algorithms	algorithm	NOUN
cana-1235	47	11	like	like	ADP
cana-1235	47	12	knn	knn	PROPN
cana-1235	47	13	,	,	PUNCT
cana-1235	47	14	random	random	ADJ
cana-1235	47	15	forest	forest	NOUN
cana-1235	47	16	,	,	PUNCT
cana-1235	47	17	logistic	logistic	ADJ
cana-1235	47	18	regression	regression	NOUN
cana-1235	47	19	,	,	PUNCT
cana-1235	47	20	decision	decision	NOUN
cana-1235	47	21	tree	tree	NOUN
cana-1235	47	22	and	and	CCONJ
cana-1235	47	23	the	the	DET
cana-1235	47	24	gaussian	gaussian	ADJ
cana-1235	47	25	naïve	naïve	ADJ
cana-1235	47	26	bayes	bayes	PROPN
cana-1235	47	27	are	be	AUX
cana-1235	47	28	engaged	engage	VERB
cana-1235	47	29	to	to	PART
cana-1235	47	30	create	create	VERB
cana-1235	47	31	a	a	DET
cana-1235	47	32	classification	classification	NOUN
cana-1235	47	33	model	model	NOUN
cana-1235	47	34	for	for	ADP
cana-1235	47	35	the	the	DET
cana-1235	47	36	flight	flight	NOUN
cana-1235	47	37	delay	delay	NOUN
cana-1235	47	38	prediction	prediction	NOUN
cana-1235	47	39	.	.	PUNCT
cana-1235	48	1	fujun	fujun	PROPN
cana-1235	48	2	wang	wang	PROPN
cana-1235	48	3	et	et	PROPN
cana-1235	48	4	al	al	PROPN
cana-1235	49	1	[	[	X
cana-1235	49	2	4	4	NUM
cana-1235	49	3	]	]	PUNCT
cana-1235	49	4	flight	flight	NOUN
cana-1235	49	5	delay	delay	NOUN
cana-1235	49	6	forecasting	forecasting	NOUN
cana-1235	49	7	and	and	CCONJ
cana-1235	49	8	analysis	analysis	NOUN
cana-1235	49	9	of	of	ADP
cana-1235	49	10	direct	direct	ADJ
cana-1235	49	11	and	and	CCONJ
cana-1235	49	12	indirect	indirect	ADJ
cana-1235	49	13	factors	factor	NOUN
cana-1235	49	14	mainly	mainly	ADV
cana-1235	49	15	concerned	concern	VERB
cana-1235	49	16	with	with	ADP
cana-1235	49	17	creating	create	VERB
cana-1235	49	18	a	a	DET
cana-1235	49	19	model	model	NOUN
cana-1235	49	20	to	to	PART
cana-1235	49	21	forecast	forecast	VERB
cana-1235	49	22	flight	flight	NOUN
cana-1235	49	23	delays	delay	NOUN
cana-1235	49	24	by	by	ADP
cana-1235	49	25	utilizing	utilize	VERB
cana-1235	49	26	an	an	DET
cana-1235	49	27	attention	attention	NOUN
cana-1235	49	28	mechanism	mechanism	NOUN
cana-1235	49	29	in	in	ADP
cana-1235	49	30	a	a	DET
cana-1235	49	31	long	long	ADJ
cana-1235	49	32	short	short	ADJ
cana-1235	49	33	–	–	PUNCT
cana-1235	49	34	term	term	NOUN
cana-1235	49	35	memory	memory	NOUN
cana-1235	49	36	network	network	NOUN
cana-1235	49	37	attention	attention	NOUN
cana-1235	49	38	mechanism	mechanism	NOUN
cana-1235	49	39	(	(	PUNCT
cana-1235	49	40	lstm	lstm	NOUN
cana-1235	49	41	-	-	PUNCT
cana-1235	49	42	am	am	NOUN
cana-1235	49	43	)	)	PUNCT
cana-1235	49	44	.	.	PUNCT
cana-1235	50	1	this	this	DET
cana-1235	50	2	system	system	NOUN
cana-1235	50	3	emerged	emerge	VERB
cana-1235	50	4	with	with	ADP
cana-1235	50	5	all	all	DET
cana-1235	50	6	direct	direct	ADJ
cana-1235	50	7	and	and	CCONJ
cana-1235	50	8	indirect	indirect	ADJ
cana-1235	50	9	fight	fight	NOUN
cana-1235	50	10	delay	delay	NOUN
cana-1235	50	11	variables	variable	NOUN
cana-1235	50	12	taken	take	VERB
cana-1235	50	13	into	into	ADP
cana-1235	50	14	account	account	NOUN
cana-1235	50	15	.	.	PUNCT
cana-1235	51	1	while	while	SCONJ
cana-1235	51	2	indirect	indirect	ADJ
cana-1235	51	3	variables	variable	NOUN
cana-1235	51	4	provide	provide	VERB
cana-1235	51	5	human	human	ADJ
cana-1235	51	6	action	action	NOUN
cana-1235	51	7	before	before	ADP
cana-1235	51	8	delays	delay	NOUN
cana-1235	51	9	,	,	PUNCT
cana-1235	51	10	direct	direct	ADJ
cana-1235	51	11	factors	factor	NOUN
cana-1235	51	12	which	which	PRON
cana-1235	51	13	associated	associate	VERB
cana-1235	51	14	with	with	ADP
cana-1235	51	15	the	the	DET
cana-1235	51	16	flight	flight	NOUN
cana-1235	51	17	characteristics	characteristic	NOUN
cana-1235	51	18	and	and	CCONJ
cana-1235	51	19	arrival	arrival	NOUN
cana-1235	51	20	time	time	NOUN
cana-1235	51	21	frames	frame	NOUN
cana-1235	51	22	.	.	PUNCT
cana-1235	52	1	numerous	numerous	ADJ
cana-1235	52	2	contributing	contribute	VERB
cana-1235	52	3	factors	factor	NOUN
cana-1235	52	4	linked	link	VERB
cana-1235	52	5	to	to	ADP
cana-1235	52	6	airport	airport	NOUN
cana-1235	52	7	delays	delay	NOUN
cana-1235	52	8	have	have	VERB
cana-1235	52	9	distributive	distributive	ADJ
cana-1235	52	10	features	feature	NOUN
cana-1235	52	11	,	,	PUNCT
cana-1235	52	12	according	accord	VERB
cana-1235	52	13	to	to	ADP
cana-1235	52	14	the	the	DET
cana-1235	52	15	system	system	NOUN
cana-1235	52	16	the	the	DET
cana-1235	52	17	dimensionality	dimensionality	NOUN
cana-1235	52	18	of	of	ADP
cana-1235	52	19	the	the	DET
cana-1235	52	20	incoming	incoming	ADJ
cana-1235	52	21	data	datum	NOUN
cana-1235	52	22	was	be	AUX
cana-1235	52	23	decreased	decrease	VERB
cana-1235	52	24	and	and	CCONJ
cana-1235	52	25	it	it	PRON
cana-1235	52	26	looked	look	VERB
cana-1235	52	27	only	only	ADV
cana-1235	52	28	at	at	ADP
cana-1235	52	29	the	the	DET
cana-1235	52	30	historical	historical	ADJ
cana-1235	52	31	data	datum	NOUN
cana-1235	52	32	from	from	ADP
cana-1235	52	33	beijing	beijing	PROPN
cana-1235	52	34	international	international	PROPN
cana-1235	52	35	airport	airport	PROPN
cana-1235	52	36	and	and	CCONJ
cana-1235	52	37	interactions	interaction	NOUN
cana-1235	52	38	between	between	ADP
cana-1235	52	39	airports	airport	NOUN
cana-1235	52	40	in	in	ADP
cana-1235	52	41	a	a	DET
cana-1235	52	42	cluster	cluster	NOUN
cana-1235	52	43	[	[	X
cana-1235	52	44	26	26	NUM
cana-1235	52	45	]	]	PUNCT
cana-1235	52	46	.	.	PUNCT
cana-1235	53	1	the	the	DET
cana-1235	53	2	study	study	NOUN
cana-1235	53	3	deep	deep	ADJ
cana-1235	53	4	graph	graph	NOUN
cana-1235	53	5	embedded	embed	VERB
cana-1235	53	6	lstm	lstm	NOUN
cana-1235	53	7	(	(	PUNCT
cana-1235	53	8	dglstm	dglstm	NOUN
cana-1235	53	9	)	)	PUNCT
cana-1235	53	10	for	for	ADP
cana-1235	53	11	airport	airport	NOUN
cana-1235	53	12	delay	delay	NOUN
cana-1235	53	13	prediction	prediction	NOUN
cana-1235	53	14	presents	present	VERB
cana-1235	53	15	a	a	DET
cana-1235	53	16	new	new	ADJ
cana-1235	53	17	method	method	NOUN
cana-1235	53	18	for	for	ADP
cana-1235	53	19	forecasting	forecast	VERB
cana-1235	53	20	the	the	DET
cana-1235	53	21	delays	delay	NOUN
cana-1235	53	22	in	in	ADP
cana-1235	53	23	airports	airport	NOUN
cana-1235	53	24	networks	network	NOUN
cana-1235	53	25	,	,	PUNCT
cana-1235	53	26	for	for	ADP
cana-1235	53	27	precise	precise	ADJ
cana-1235	53	28	and	and	CCONJ
cana-1235	53	29	reliable	reliable	ADJ
cana-1235	53	30	delay	delay	NOUN
cana-1235	53	31	predictions	prediction	NOUN
cana-1235	53	32	,	,	PUNCT
cana-1235	53	33	weili	weili	NOUN
cana-1235	53	34	zeng	zeng	PROPN
cana-1235	53	35	et	et	PROPN
cana-1235	53	36	al	al	PROPN
cana-1235	54	1	[	[	X
cana-1235	54	2	5	5	NUM
cana-1235	54	3	]	]	PUNCT
cana-1235	54	4	suggest	suggest	VERB
cana-1235	54	5	a	a	DET
cana-1235	54	6	deep	deep	ADJ
cana-1235	54	7	learning	learning	NOUN
cana-1235	54	8	model	model	NOUN
cana-1235	54	9	that	that	SCONJ
cana-1235	54	10	blends	blends	AUX
cana-1235	54	11	graph	graph	NOUN
cana-1235	54	12	neural	neural	ADJ
cana-1235	54	13	networks	network	NOUN
cana-1235	54	14	with	with	ADP
cana-1235	54	15	the	the	DET
cana-1235	54	16	sequence	sequence	NOUN
cana-1235	54	17	-	-	PUNCT
cana-1235	54	18	to	to	ADP
cana-1235	54	19	-	-	PUNCT
cana-1235	54	20	sequence	sequence	NOUN
cana-1235	54	21	lstm	lstm	NOUN
cana-1235	54	22	network	network	NOUN
cana-1235	54	23	.	.	PUNCT
cana-1235	55	1	by	by	ADP
cana-1235	55	2	considering	consider	VERB
cana-1235	55	3	the	the	DET
cana-1235	55	4	airports	airport	NOUN
cana-1235	55	5	as	as	ADP
cana-1235	55	6	nodes	node	NOUN
cana-1235	55	7	in	in	ADP
cana-1235	55	8	a	a	DET
cana-1235	55	9	directed	direct	VERB
cana-1235	55	10	graph	graph	NOUN
cana-1235	55	11	network	network	NOUN
cana-1235	55	12	the	the	DET
cana-1235	55	13	system	system	NOUN
cana-1235	55	14	expands	expand	VERB
cana-1235	55	15	the	the	DET
cana-1235	55	16	use	use	NOUN
cana-1235	55	17	of	of	ADP
cana-1235	55	18	graph	graph	NOUN
cana-1235	55	19	neural	neural	ADJ
cana-1235	55	20	networks	network	NOUN
cana-1235	55	21	for	for	ADP
cana-1235	55	22	the	the	DET
cana-1235	55	23	delay	delay	NOUN
cana-1235	55	24	prediction	prediction	NOUN
cana-1235	55	25	.	.	PUNCT
cana-1235	56	1	the	the	DET
cana-1235	56	2	methodology	methodology	NOUN
cana-1235	56	3	takes	take	VERB
cana-1235	56	4	into	into	ADP
cana-1235	56	5	account	account	NOUN
cana-1235	56	6	the	the	DET
cana-1235	56	7	interdependence	interdependence	NOUN
cana-1235	56	8	of	of	ADP
cana-1235	56	9	the	the	DET
cana-1235	56	10	airports	airport	NOUN
cana-1235	56	11	and	and	CCONJ
cana-1235	56	12	the	the	DET
cana-1235	56	13	forecasts	forecast	NOUN
cana-1235	56	14	and	and	CCONJ
cana-1235	56	15	delays	delay	NOUN
cana-1235	56	16	by	by	ADP
cana-1235	56	17	taking	take	VERB
cana-1235	56	18	these	these	DET
cana-1235	56	19	linkages	linkage	NOUN
cana-1235	56	20	into	into	ADP
cana-1235	56	21	account	account	NOUN
cana-1235	56	22	.	.	PUNCT
cana-1235	57	1	this	this	DET
cana-1235	57	2	system	system	NOUN
cana-1235	57	3	depicts	depict	VERB
cana-1235	57	4	the	the	DET
cana-1235	57	5	airport	airport	NOUN
cana-1235	57	6	network	network	NOUN
cana-1235	57	7	using	use	VERB
cana-1235	57	8	a	a	DET
cana-1235	57	9	weighted	weight	VERB
cana-1235	57	10	adjacency	adjacency	NOUN
cana-1235	57	11	matrix	matrix	NOUN
cana-1235	57	12	.	.	PUNCT
cana-1235	58	1	the	the	DET
cana-1235	58	2	number	number	NOUN
cana-1235	58	3	of	of	ADP
cana-1235	58	4	flight	flight	NOUN
cana-1235	58	5	pairs	pair	NOUN
cana-1235	58	6	and	and	CCONJ
cana-1235	58	7	the	the	DET
cana-1235	58	8	spherical	spherical	ADJ
cana-1235	58	9	distances	distance	NOUN
cana-1235	58	10	are	be	AUX
cana-1235	58	11	the	the	DET
cana-1235	58	12	two	two	NUM
cana-1235	58	13	examples	example	NOUN
cana-1235	58	14	of	of	ADP
cana-1235	58	15	the	the	DET
cana-1235	58	16	parameters	parameter	NOUN
cana-1235	58	17	that	that	PRON
cana-1235	58	18	affect	affect	VERB
cana-1235	58	19	the	the	DET
cana-1235	58	20	weights	weight	NOUN
cana-1235	58	21	for	for	ADP
cana-1235	58	22	the	the	DET
cana-1235	58	23	edges	edge	NOUN
cana-1235	58	24	between	between	ADP
cana-1235	58	25	airports	airport	NOUN
cana-1235	58	26	.	.	PUNCT
cana-1235	59	1	the	the	DET
cana-1235	59	2	operational	operational	ADJ
cana-1235	59	3	and	and	CCONJ
cana-1235	59	4	geographical	geographical	ADJ
cana-1235	59	5	features	feature	NOUN
cana-1235	59	6	of	of	ADP
cana-1235	59	7	the	the	DET
cana-1235	59	8	airport	airport	NOUN
cana-1235	59	9	's	's	PART
cana-1235	59	10	links	link	NOUN
cana-1235	59	11	are	be	AUX
cana-1235	59	12	acknowledged	acknowledge	VERB
cana-1235	59	13	by	by	ADP
cana-1235	59	14	the	the	DET
cana-1235	59	15	particular	particular	ADJ
cana-1235	59	16	method	method	NOUN
cana-1235	59	17	.	.	PUNCT
cana-1235	60	1	to	to	PART
cana-1235	60	2	represent	represent	VERB
cana-1235	60	3	the	the	DET
cana-1235	60	4	features	feature	NOUN
cana-1235	60	5	of	of	ADP
cana-1235	60	6	the	the	DET
cana-1235	60	7	delay	delay	NOUN
cana-1235	60	8	’s	’s	PART
cana-1235	60	9	propagation	propagation	NOUN
cana-1235	60	10	across	across	ADP
cana-1235	60	11	airports	airport	NOUN
cana-1235	60	12	.	.	PUNCT
cana-1235	61	1	the	the	DET
cana-1235	61	2	diffusion	diffusion	NOUN
cana-1235	61	3	convolution	convolution	NOUN
cana-1235	61	4	kernel	kernel	PROPN
cana-1235	61	5	is	be	AUX
cana-1235	61	6	introduced	introduce	VERB
cana-1235	61	7	in	in	ADP
cana-1235	61	8	the	the	DET
cana-1235	61	9	article	article	NOUN
cana-1235	61	10	and	and	CCONJ
cana-1235	61	11	implemented	implement	VERB
cana-1235	61	12	within	within	ADP
cana-1235	61	13	the	the	DET
cana-1235	61	14	graph	graph	NOUN
cana-1235	61	15	network	network	NOUN
cana-1235	61	16	.	.	PUNCT
cana-1235	62	1	the	the	DET
cana-1235	62	2	goal	goal	NOUN
cana-1235	62	3	of	of	ADP
cana-1235	62	4	this	this	DET
cana-1235	62	5	novel	novel	ADJ
cana-1235	62	6	approach	approach	NOUN
cana-1235	62	7	is	be	AUX
cana-1235	62	8	to	to	PART
cana-1235	62	9	improve	improve	VERB
cana-1235	62	10	the	the	DET
cana-1235	62	11	model	model	NOUN
cana-1235	62	12	's	's	PART
cana-1235	62	13	comprehension	comprehension	NOUN
cana-1235	62	14	and	and	CCONJ
cana-1235	62	15	the	the	DET
cana-1235	62	16	forecasting	forecasting	NOUN
cana-1235	62	17	of	of	ADP
cana-1235	62	18	the	the	DET
cana-1235	62	19	distribution	distribution	NOUN
cana-1235	62	20	of	of	ADP
cana-1235	62	21	delays	delay	NOUN
cana-1235	62	22	throughout	throughout	ADP
cana-1235	62	23	the	the	DET
cana-1235	62	24	airport	airport	NOUN
cana-1235	62	25	system	system	NOUN
cana-1235	62	26	.	.	PUNCT
cana-1235	63	1	to	to	PART
cana-1235	63	2	capture	capture	VERB
cana-1235	63	3	the	the	DET
cana-1235	63	4	time	time	NOUN
cana-1235	63	5	domain	domain	NOUN
cana-1235	63	6	properties	property	NOUN
cana-1235	63	7	this	this	DET
cana-1235	63	8	system	system	NOUN
cana-1235	63	9	includes	include	VERB
cana-1235	63	10	a	a	DET
cana-1235	63	11	sequence	sequence	NOUN
cana-1235	63	12	-	-	PUNCT
cana-1235	63	13	to	to	ADP
cana-1235	63	14	-	-	PUNCT
cana-1235	63	15	sequence	sequence	NOUN
cana-1235	63	16	lstm	lstm	NOUN
cana-1235	63	17	network	network	NOUN
cana-1235	63	18	[	[	X
cana-1235	63	19	15	15	NUM
cana-1235	63	20	]	]	PUNCT
cana-1235	63	21	.	.	PUNCT
cana-1235	64	1	the	the	DET
cana-1235	64	2	lstm	lstm	PROPN
cana-1235	64	3	's	's	PART
cana-1235	64	4	encoding	encoding	NOUN
cana-1235	64	5	and	and	CCONJ
cana-1235	64	6	decoding	decode	VERB
cana-1235	64	7	modules	module	NOUN
cana-1235	64	8	are	be	AUX
cana-1235	64	9	employed	employ	VERB
cana-1235	64	10	to	to	PART
cana-1235	64	11	extract	extract	VERB
cana-1235	64	12	temporal	temporal	ADJ
cana-1235	64	13	patterns	pattern	NOUN
cana-1235	64	14	from	from	ADP
cana-1235	64	15	the	the	DET
cana-1235	64	16	delay	delay	NOUN
cana-1235	64	17	data	datum	NOUN
cana-1235	64	18	and	and	CCONJ
cana-1235	64	19	offer	offer	VERB
cana-1235	64	20	a	a	DET
cana-1235	64	21	thorough	thorough	ADJ
cana-1235	64	22	framework	framework	NOUN
cana-1235	64	23	for	for	ADP
cana-1235	64	24	recording	recording	NOUN
cana-1235	64	25	and	and	CCONJ
cana-1235	64	26	forecasting	forecasting	NOUN
cana-1235	64	27	delays	delay	NOUN
cana-1235	64	28	over	over	ADP
cana-1235	64	29	time	time	NOUN
cana-1235	65	1	[	[	X
cana-1235	65	2	23][25	23][25	X
cana-1235	65	3	]	]	X
cana-1235	65	4	.	.	PUNCT
cana-1235	66	1	tsegai	tsegai	PROPN
cana-1235	66	2	o.yhdego	o.yhdego	PRON
cana-1235	66	3	et	et	NOUN
cana-1235	66	4	al	al	PROPN
cana-1235	67	1	[	[	X
cana-1235	67	2	6	6	NUM
cana-1235	67	3	]	]	PUNCT
cana-1235	67	4	introduced	introduce	VERB
cana-1235	67	5	hybrid	hybrid	ADJ
cana-1235	67	6	recurrent	recurrent	ADJ
cana-1235	67	7	network	network	NOUN
cana-1235	67	8	model	model	NOUN
cana-1235	67	9	for	for	ADP
cana-1235	67	10	estimating	estimate	VERB
cana-1235	67	11	and	and	CCONJ
cana-1235	67	12	projecting	project	VERB
cana-1235	67	13	flight	flight	NOUN
cana-1235	67	14	delays	delay	NOUN
cana-1235	67	15	which	which	PRON
cana-1235	67	16	explains	explain	VERB
cana-1235	67	17	the	the	DET
cana-1235	67	18	hybrid	hybrid	ADJ
cana-1235	67	19	approach	approach	NOUN
cana-1235	67	20	which	which	PRON
cana-1235	67	21	combines	combine	VERB
cana-1235	67	22	a	a	DET
cana-1235	67	23	gated	gate	VERB
cana-1235	67	24	recurrent	recurrent	ADJ
cana-1235	67	25	unit	unit	NOUN
cana-1235	67	26	(	(	PUNCT
cana-1235	67	27	gru	gru	NOUN
cana-1235	67	28	)	)	PUNCT
cana-1235	67	29	model	model	NOUN
cana-1235	67	30	to	to	PART
cana-1235	67	31	capture	capture	VERB
cana-1235	67	32	the	the	DET
cana-1235	67	33	historical	historical	ADJ
cana-1235	67	34	trends	trend	NOUN
cana-1235	67	35	and	and	CCONJ
cana-1235	67	36	a	a	DET
cana-1235	67	37	dense	dense	ADJ
cana-1235	67	38	layer	layer	NOUN
cana-1235	67	39	to	to	PART
cana-1235	67	40	handle	handle	VERB
cana-1235	67	41	short	short	ADJ
cana-1235	67	42	-	-	PUNCT
cana-1235	67	43	term	term	NOUN
cana-1235	67	44	dependencies	dependency	NOUN
cana-1235	67	45	.	.	PUNCT
cana-1235	68	1	this	this	DET
cana-1235	68	2	system	system	NOUN
cana-1235	68	3	expands	expand	VERB
cana-1235	68	4	on	on	ADP
cana-1235	68	5	the	the	DET
cana-1235	68	6	application	application	NOUN
cana-1235	68	7	of	of	ADP
cana-1235	68	8	the	the	DET
cana-1235	68	9	rnns	rnn	NOUN
cana-1235	68	10	for	for	ADP
cana-1235	68	11	delay	delay	NOUN
cana-1235	68	12	prediction.rnns	prediction.rnn	NOUN
cana-1235	68	13	have	have	AUX
cana-1235	68	14	been	be	AUX
cana-1235	68	15	used	use	VERB
cana-1235	68	16	for	for	ADP
cana-1235	68	17	a	a	DET
cana-1235	68	18	variety	variety	NOUN
cana-1235	68	19	of	of	ADP
cana-1235	68	20	time	time	NOUN
cana-1235	68	21	series	series	PROPN
cana-1235	68	22	prediction	prediction	NOUN
cana-1235	68	23	problems	problem	NOUN
cana-1235	68	24	due	due	ADJ
cana-1235	68	25	to	to	ADP
cana-1235	68	26	their	their	PRON
cana-1235	68	27	capacity	capacity	NOUN
cana-1235	68	28	to	to	PART
cana-1235	68	29	capture	capture	VERB
cana-1235	68	30	sequential	sequential	ADJ
cana-1235	68	31	dependencies	dependency	NOUN
cana-1235	68	32	by	by	ADP
cana-1235	68	33	using	use	VERB
cana-1235	68	34	the	the	DET
cana-1235	68	35	hybrid	hybrid	NOUN
cana-1235	68	36	design	design	NOUN
cana-1235	68	37	and	and	CCONJ
cana-1235	68	38	it	it	PRON
cana-1235	68	39	also	also	ADV
cana-1235	68	40	seeks	seek	VERB
cana-1235	68	41	to	to	PART
cana-1235	68	42	improve	improve	VERB
cana-1235	68	43	on	on	ADP
cana-1235	68	44	the	the	DET
cana-1235	68	45	conventional	conventional	ADJ
cana-1235	68	46	rnn	rnn	NOUN
cana-1235	68	47	architectures	architecture	NOUN
cana-1235	68	48	to	to	PART
cana-1235	68	49	better	well	ADV
cana-1235	68	50	understand	understand	VERB
cana-1235	68	51	model	model	NOUN
cana-1235	68	52	delays	delay	NOUN
cana-1235	68	53	and	and	CCONJ
cana-1235	68	54	their	their	PRON
cana-1235	68	55	effects	effect	NOUN
cana-1235	68	56	.	.	PUNCT
cana-1235	69	1	to	to	PART
cana-1235	69	2	capture	capture	VERB
cana-1235	69	3	past	past	ADJ
cana-1235	69	4	patterns	pattern	NOUN
cana-1235	69	5	in	in	ADP
cana-1235	69	6	the	the	DET
cana-1235	69	7	delays	delay	NOUN
cana-1235	69	8	this	this	DET
cana-1235	69	9	system	system	NOUN
cana-1235	69	10	includes	include	VERB
cana-1235	69	11	a	a	DET
cana-1235	69	12	gru	gru	NOUN
cana-1235	69	13	model	model	NOUN
cana-1235	69	14	recurrent	recurrent	PROPN
cana-1235	69	15	neural	neural	ADJ
cana-1235	69	16	networks	network	NOUN
cana-1235	69	17	such	such	ADJ
cana-1235	69	18	as	as	ADP
cana-1235	69	19	grus	grus	NOUN
cana-1235	69	20	have	have	AUX
cana-1235	69	21	demonstrated	demonstrate	VERB
cana-1235	69	22	efficacy	efficacy	NOUN
cana-1235	69	23	in	in	ADP
cana-1235	69	24	the	the	DET
cana-1235	69	25	learning	learning	NOUN
cana-1235	69	26	of	of	ADP
cana-1235	69	27	long	long	ADJ
cana-1235	69	28	-	-	PUNCT
cana-1235	69	29	term	term	NOUN
cana-1235	69	30	dependencies	dependency	NOUN
cana-1235	69	31	.	.	PUNCT
cana-1235	70	1	a	a	DET
cana-1235	70	2	deep	deep	ADJ
cana-1235	70	3	layer	layer	NOUN
cana-1235	70	4	to	to	PART
cana-1235	70	5	capture	capture	VERB
cana-1235	70	6	short	short	ADJ
cana-1235	70	7	-	-	PUNCT
cana-1235	70	8	term	term	NOUN
cana-1235	70	9	relationships	relationship	NOUN
cana-1235	70	10	between	between	ADP
cana-1235	70	11	arrival	arrival	NOUN
cana-1235	70	12	and	and	CCONJ
cana-1235	70	13	departure	departure	NOUN
cana-1235	70	14	delays	delay	NOUN
cana-1235	70	15	in	in	ADP
cana-1235	70	16	addition	addition	NOUN
cana-1235	70	17	to	to	ADP
cana-1235	70	18	the	the	DET
cana-1235	70	19	historical	historical	ADJ
cana-1235	70	20	patterns	pattern	NOUN
cana-1235	70	21	recognizes	recognize	VERB
cana-1235	70	22	that	that	SCONJ
cana-1235	70	23	flight	flight	NOUN
cana-1235	70	24	operations	operation	NOUN
cana-1235	70	25	are	be	AUX
cana-1235	70	26	dynamic	dynamic	ADJ
cana-1235	70	27	and	and	CCONJ
cana-1235	70	28	that	that	SCONJ
cana-1235	70	29	it	it	PRON
cana-1235	70	30	is	be	AUX
cana-1235	70	31	important	important	ADJ
cana-1235	70	32	to	to	PART
cana-1235	70	33	take	take	VERB
cana-1235	70	34	into	into	ADP
cana-1235	70	35	account	account	NOUN
cana-1235	70	36	any	any	DET
cana-1235	70	37	current	current	ADJ
cana-1235	70	38	issues	issue	NOUN
cana-1235	70	39	that	that	PRON
cana-1235	70	40	might	might	AUX
cana-1235	70	41	cause	cause	VERB
cana-1235	70	42	the	the	DET
cana-1235	70	43	delays	delay	NOUN
cana-1235	70	44	.	.	PUNCT
cana-1235	71	1	by	by	ADP
cana-1235	71	2	utilizing	utilize	VERB
cana-1235	71	3	all	all	DET
cana-1235	71	4	the	the	DET
cana-1235	71	5	component	component	NOUN
cana-1235	71	6	's	's	PART
cana-1235	71	7	capabilities	capability	NOUN
cana-1235	71	8	this	this	DET
cana-1235	71	9	system	system	NOUN
cana-1235	71	10	seeks	seek	VERB
cana-1235	71	11	to	to	PART
cana-1235	71	12	give	give	VERB
cana-1235	71	13	an	an	DET
cana-1235	71	14	in	in	ADP
cana-1235	71	15	-	-	PUNCT
cana-1235	71	16	depth	depth	NOUN
cana-1235	71	17	understanding	understanding	NOUN
cana-1235	71	18	of	of	ADP
cana-1235	71	19	the	the	DET
cana-1235	71	20	delay	delay	NOUN
cana-1235	71	21	patterns[21][22][24	patterns[21][22][24	X
cana-1235	71	22	]	]	PUNCT
cana-1235	71	23	.	.	PUNCT
cana-1235	72	1	communications	communication	NOUN
cana-1235	72	2	on	on	ADP
cana-1235	72	3	applied	apply	VERB
cana-1235	72	4	nonlinear	nonlinear	ADJ
cana-1235	72	5	analysis	analysis	NOUN
cana-1235	72	6	issn	issn	NOUN
cana-1235	72	7	:	:	PUNCT
cana-1235	72	8	1074	1074	NUM
cana-1235	72	9	-	-	PUNCT
cana-1235	72	10	133x	133x	NUM
cana-1235	72	11	vol	vol	NOUN
cana-1235	72	12	31	31	NUM
cana-1235	72	13	no	no	NOUN
cana-1235	72	14	.	.	PUNCT
cana-1235	73	1	6s	6s	NUM
cana-1235	73	2	(	(	PUNCT
cana-1235	73	3	2024	2024	NUM
cana-1235	73	4	)	)	PUNCT
cana-1235	73	5	443	443	NUM
cana-1235	73	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1235	73	7	flight	flight	NOUN
cana-1235	73	8	delay	delay	NOUN
cana-1235	73	9	prediction	prediction	NOUN
cana-1235	73	10	using	use	VERB
cana-1235	73	11	deep	deep	ADJ
cana-1235	73	12	learning	learning	NOUN
cana-1235	73	13	with	with	ADP
cana-1235	73	14	stack	stack	NOUN
cana-1235	73	15	denoting	denote	VERB
cana-1235	73	16	autoencoder	autoencoder	NOUN
cana-1235	73	17	and	and	CCONJ
cana-1235	73	18	the	the	DET
cana-1235	73	19	levenberg	levenberg	PROPN
cana-1235	73	20	marquardt	marquardt	PROPN
cana-1235	73	21	algorithm	algorithm	PROPN
cana-1235	73	22	by	by	ADP
cana-1235	73	23	maryam	maryam	PROPN
cana-1235	73	24	farshchiian	farshchiian	PROPN
cana-1235	73	25	yazdi	yazdi	PROPN
cana-1235	73	26	et	et	PROPN
cana-1235	73	27	al	al	PROPN
cana-1235	74	1	[	[	X
cana-1235	74	2	7	7	NUM
cana-1235	74	3	,	,	PUNCT
cana-1235	74	4	19	19	NUM
cana-1235	74	5	]	]	PUNCT
cana-1235	74	6	addressed	address	VERB
cana-1235	74	7	the	the	DET
cana-1235	74	8	challenges	challenge	NOUN
cana-1235	74	9	of	of	ADP
cana-1235	74	10	accurately	accurately	ADV
cana-1235	74	11	predicting	predict	VERB
cana-1235	74	12	flight	flight	NOUN
cana-1235	74	13	delays	delay	NOUN
cana-1235	74	14	which	which	PRON
cana-1235	74	15	considering	consider	VERB
cana-1235	74	16	the	the	DET
cana-1235	74	17	significant	significant	ADJ
cana-1235	74	18	impact	impact	NOUN
cana-1235	74	19	on	on	ADP
cana-1235	74	20	the	the	DET
cana-1235	74	21	airlines	airline	NOUN
cana-1235	74	22	.	.	PUNCT
cana-1235	75	1	this	this	DET
cana-1235	75	2	system	system	NOUN
cana-1235	75	3	used	use	VERB
cana-1235	75	4	deep	deep	ADJ
cana-1235	75	5	learning	learning	NOUN
cana-1235	75	6	and	and	CCONJ
cana-1235	75	7	machine	machine	NOUN
cana-1235	75	8	learning	learn	VERB
cana-1235	75	9	techniques	technique	NOUN
cana-1235	75	10	to	to	PART
cana-1235	75	11	forecast	forecast	VERB
cana-1235	75	12	aircraft	aircraft	NOUN
cana-1235	75	13	delays	delay	NOUN
cana-1235	75	14	.	.	PUNCT
cana-1235	76	1	it	it	PRON
cana-1235	76	2	involves	involve	VERB
cana-1235	76	3	an	an	DET
cana-1235	76	4	understanding	understanding	NOUN
cana-1235	76	5	of	of	ADP
cana-1235	76	6	the	the	DET
cana-1235	76	7	difficulties	difficulty	NOUN
cana-1235	76	8	in	in	ADP
cana-1235	76	9	obtaining	obtain	VERB
cana-1235	76	10	precise	precise	ADJ
cana-1235	76	11	forecasts	forecast	NOUN
cana-1235	76	12	presented	present	VERB
cana-1235	76	13	by	by	ADP
cana-1235	76	14	the	the	DET
cana-1235	76	15	enormous	enormous	ADJ
cana-1235	76	16	delta	delta	NOUN
cana-1235	76	17	quantities	quantity	NOUN
cana-1235	76	18	dependencies	dependency	NOUN
cana-1235	76	19	and	and	CCONJ
cana-1235	76	20	a	a	DET
cana-1235	76	21	multitude	multitude	NOUN
cana-1235	76	22	of	of	ADP
cana-1235	76	23	factors	factor	NOUN
cana-1235	76	24	to	to	PART
cana-1235	76	25	calculate	calculate	VERB
cana-1235	76	26	the	the	DET
cana-1235	76	27	precise	precise	ADJ
cana-1235	76	28	value	value	NOUN
cana-1235	76	29	of	of	ADP
cana-1235	76	30	the	the	DET
cana-1235	76	31	flight	flight	NOUN
cana-1235	76	32	delay	delay	NOUN
cana-1235	76	33	of	of	ADP
cana-1235	76	34	airlines	airline	NOUN
cana-1235	76	35	.	.	PUNCT
cana-1235	77	1	the	the	DET
cana-1235	77	2	significance	significance	NOUN
cana-1235	77	3	of	of	ADP
cana-1235	77	4	the	the	DET
cana-1235	77	5	precise	precise	ADJ
cana-1235	77	6	flight	flight	NOUN
cana-1235	77	7	delay	delay	NOUN
cana-1235	77	8	estimate	estimate	NOUN
cana-1235	77	9	on	on	ADP
cana-1235	77	10	customer	customer	NOUN
cana-1235	77	11	happiness	happiness	NOUN
cana-1235	77	12	and	and	CCONJ
cana-1235	77	13	the	the	DET
cana-1235	77	14	total	total	ADJ
cana-1235	77	15	revenue	revenue	NOUN
cana-1235	77	16	creation	creation	NOUN
cana-1235	77	17	is	be	AUX
cana-1235	77	18	highlighted	highlight	VERB
cana-1235	77	19	in	in	ADP
cana-1235	77	20	the	the	DET
cana-1235	77	21	introduction	introduction	NOUN
cana-1235	77	22	underscoring	underscore	VERB
cana-1235	77	23	its	its	PRON
cana-1235	77	24	vital	vital	ADJ
cana-1235	77	25	role	role	NOUN
cana-1235	77	26	for	for	ADP
cana-1235	77	27	the	the	DET
cana-1235	77	28	airlines	airline	NOUN
cana-1235	77	29	.	.	PUNCT
cana-1235	78	1	this	this	DET
cana-1235	78	2	system	system	NOUN
cana-1235	78	3	is	be	AUX
cana-1235	78	4	consistent	consistent	ADJ
cana-1235	78	5	with	with	ADP
cana-1235	78	6	the	the	DET
cana-1235	78	7	larger	large	ADJ
cana-1235	78	8	field	field	NOUN
cana-1235	78	9	research	research	NOUN
cana-1235	78	10	environment	environment	NOUN
cana-1235	78	11	where	where	SCONJ
cana-1235	78	12	precise	precise	ADJ
cana-1235	78	13	forecasts	forecast	NOUN
cana-1235	78	14	enhance	enhance	VERB
cana-1235	78	15	operational	operational	ADJ
cana-1235	78	16	effectiveness	effectiveness	NOUN
cana-1235	78	17	[	[	X
cana-1235	78	18	27][28	27][28	X
cana-1235	78	19	]	]	X
cana-1235	78	20	.	.	PUNCT
cana-1235	79	1	it	it	PRON
cana-1235	79	2	also	also	ADV
cana-1235	79	3	recognizes	recognize	VERB
cana-1235	79	4	that	that	SCONJ
cana-1235	79	5	the	the	DET
cana-1235	79	6	complexity	complexity	NOUN
cana-1235	79	7	of	of	ADP
cana-1235	79	8	the	the	DET
cana-1235	79	9	dealings	dealing	NOUN
cana-1235	79	10	with	with	ADP
cana-1235	79	11	the	the	DET
cana-1235	79	12	large	large	ADJ
cana-1235	79	13	amounts	amount	NOUN
cana-1235	79	14	of	of	ADP
cana-1235	79	15	data	datum	NOUN
cana-1235	79	16	and	and	CCONJ
cana-1235	79	17	the	the	DET
cana-1235	79	18	dependencies	dependency	NOUN
cana-1235	79	19	of	of	ADP
cana-1235	79	20	the	the	DET
cana-1235	79	21	many	many	ADJ
cana-1235	79	22	factors	factor	NOUN
cana-1235	79	23	limits	limit	VERB
cana-1235	79	24	the	the	DET
cana-1235	79	25	ability	ability	NOUN
cana-1235	79	26	of	of	ADP
cana-1235	79	27	the	the	DET
cana-1235	79	28	current	current	ADJ
cana-1235	79	29	approaches	approach	NOUN
cana-1235	79	30	to	to	PART
cana-1235	79	31	achieve	achieve	VERB
cana-1235	79	32	adequate	adequate	ADJ
cana-1235	79	33	accuracy	accuracy	NOUN
cana-1235	79	34	.	.	PUNCT
cana-1235	80	1	this	this	DET
cana-1235	80	2	acknowledgment	acknowledgment	NOUN
cana-1235	80	3	lays	lay	VERB
cana-1235	80	4	the	the	DET
cana-1235	80	5	foundation	foundation	NOUN
cana-1235	80	6	for	for	ADP
cana-1235	80	7	the	the	DET
cana-1235	80	8	deep	deep	ADJ
cana-1235	80	9	learning	learning	NOUN
cana-1235	80	10	-	-	PUNCT
cana-1235	80	11	based	base	VERB
cana-1235	80	12	approach	approach	NOUN
cana-1235	80	13	that	that	PRON
cana-1235	80	14	is	be	AUX
cana-1235	80	15	suggested	suggest	VERB
cana-1235	80	16	.	.	PUNCT
cana-1235	81	1	to	to	PART
cana-1235	81	2	handle	handle	VERB
cana-1235	81	3	noisy	noisy	ADJ
cana-1235	81	4	flight	flight	NOUN
cana-1235	81	5	delay	delay	NOUN
cana-1235	81	6	data	data	VERB
cana-1235	81	7	the	the	DET
cana-1235	81	8	system	system	NOUN
cana-1235	81	9	presents	present	VERB
cana-1235	81	10	a	a	DET
cana-1235	81	11	unique	unique	ADJ
cana-1235	81	12	approach	approach	NOUN
cana-1235	81	13	based	base	VERB
cana-1235	81	14	on	on	ADP
cana-1235	81	15	the	the	DET
cana-1235	81	16	stack	stack	NOUN
cana-1235	81	17	denoising	denoise	VERB
cana-1235	81	18	auto	auto	NOUN
cana-1235	81	19	encoder	encoder	NOUN
cana-1235	81	20	and	and	CCONJ
cana-1235	81	21	is	be	AUX
cana-1235	81	22	a	a	DET
cana-1235	81	23	significant	significant	ADJ
cana-1235	81	24	improvement	improvement	NOUN
cana-1235	81	25	over	over	ADP
cana-1235	81	26	the	the	DET
cana-1235	81	27	current	current	ADJ
cana-1235	81	28	model	model	NOUN
cana-1235	81	29	highlighting	highlight	VERB
cana-1235	81	30	the	the	DET
cana-1235	81	31	delay	delay	NOUN
cana-1235	81	32	prediction	prediction	NOUN
cana-1235	81	33	accuracy	accuracy	NOUN
cana-1235	81	34	.	.	PUNCT
cana-1235	82	1	bin	bin	PROPN
cana-1235	82	2	yu	yu	PROPN
cana-1235	82	3	et	et	PROPN
cana-1235	82	4	al	al	PROPN
cana-1235	83	1	[	[	X
cana-1235	83	2	8	8	NUM
cana-1235	83	3	,	,	PUNCT
cana-1235	83	4	20	20	NUM
cana-1235	83	5	]	]	PUNCT
cana-1235	83	6	work	work	NOUN
cana-1235	83	7	on	on	ADP
cana-1235	83	8	the	the	DET
cana-1235	83	9	flight	flight	NOUN
cana-1235	83	10	delay	delay	NOUN
cana-1235	83	11	prediction	prediction	NOUN
cana-1235	83	12	for	for	ADP
cana-1235	83	13	commercial	commercial	ADJ
cana-1235	83	14	air	air	NOUN
cana-1235	83	15	transport	transport	NOUN
cana-1235	83	16	:	:	PUNCT
cana-1235	83	17	a	a	DET
cana-1235	83	18	deep	deep	ADJ
cana-1235	83	19	learning	learning	NOUN
cana-1235	83	20	approach	approach	NOUN
cana-1235	83	21	was	be	AUX
cana-1235	83	22	introduced	introduce	VERB
cana-1235	83	23	as	as	ADP
cana-1235	83	24	a	a	DET
cana-1235	83	25	multifactor	multifactor	NOUN
cana-1235	83	26	methodology	methodology	NOUN
cana-1235	83	27	including	include	VERB
cana-1235	83	28	a	a	DET
cana-1235	83	29	unique	unique	ADJ
cana-1235	83	30	deep	deep	ADJ
cana-1235	83	31	belief	belief	NOUN
cana-1235	83	32	network	network	NOUN
cana-1235	83	33	technique	technique	NOUN
cana-1235	83	34	to	to	PART
cana-1235	83	35	identify	identify	VERB
cana-1235	83	36	underlying	underlying	ADJ
cana-1235	83	37	trends	trend	NOUN
cana-1235	83	38	in	in	ADP
cana-1235	83	39	flight	flight	NOUN
cana-1235	83	40	delays	delay	NOUN
cana-1235	83	41	.	.	PUNCT
cana-1235	84	1	this	this	DET
cana-1235	84	2	system	system	NOUN
cana-1235	84	3	incorporates	incorporate	VERB
cana-1235	84	4	support	support	NOUN
cana-1235	84	5	vector	vector	NOUN
cana-1235	84	6	regression	regression	NOUN
cana-1235	84	7	for	for	ADP
cana-1235	84	8	the	the	DET
cana-1235	84	9	supervised	supervised	ADJ
cana-1235	84	10	fine	fine	ADJ
cana-1235	84	11	-	-	PUNCT
cana-1235	84	12	tuning	tuning	NOUN
cana-1235	84	13	and	and	CCONJ
cana-1235	84	14	the	the	DET
cana-1235	84	15	ultimate	ultimate	ADJ
cana-1235	84	16	goal	goal	NOUN
cana-1235	84	17	is	be	AUX
cana-1235	84	18	to	to	PART
cana-1235	84	19	develop	develop	VERB
cana-1235	84	20	a	a	DET
cana-1235	84	21	predictive	predictive	ADJ
cana-1235	84	22	architecture	architecture	NOUN
cana-1235	84	23	that	that	PRON
cana-1235	84	24	can	can	AUX
cana-1235	84	25	work	work	VERB
cana-1235	84	26	with	with	ADP
cana-1235	84	27	the	the	DET
cana-1235	84	28	big	big	ADJ
cana-1235	84	29	datasets	dataset	NOUN
cana-1235	84	30	and	and	CCONJ
cana-1235	84	31	to	to	PART
cana-1235	84	32	identify	identify	VERB
cana-1235	84	33	important	important	ADJ
cana-1235	84	34	variables	variable	NOUN
cana-1235	84	35	causing	cause	VERB
cana-1235	84	36	delays	delay	NOUN
cana-1235	84	37	that	that	PRON
cana-1235	84	38	linked	link	VERB
cana-1235	84	39	airports	airport	NOUN
cana-1235	84	40	may	may	AUX
cana-1235	84	41	work	work	VERB
cana-1235	84	42	together	together	ADV
cana-1235	84	43	to	to	PART
cana-1235	84	44	reduce	reduce	VERB
cana-1235	84	45	the	the	DET
cana-1235	84	46	spread	spread	NOUN
cana-1235	84	47	of	of	ADP
cana-1235	84	48	the	the	DET
cana-1235	84	49	flight	flight	NOUN
cana-1235	84	50	delays	delay	NOUN
cana-1235	84	51	.	.	PUNCT
cana-1235	85	1	exploring	explore	VERB
cana-1235	85	2	the	the	DET
cana-1235	85	3	system	system	NOUN
cana-1235	85	4	on	on	ADP
cana-1235	85	5	the	the	DET
cana-1235	85	6	many	many	ADJ
cana-1235	85	7	models	model	NOUN
cana-1235	85	8	and	and	CCONJ
cana-1235	85	9	the	the	DET
cana-1235	85	10	approaches	approach	NOUN
cana-1235	85	11	that	that	PRON
cana-1235	85	12	have	have	AUX
cana-1235	85	13	been	be	AUX
cana-1235	85	14	developed	develop	VERB
cana-1235	85	15	to	to	PART
cana-1235	85	16	forecast	forecast	VERB
cana-1235	85	17	flight	flight	NOUN
cana-1235	85	18	delays	delay	NOUN
cana-1235	85	19	to	to	PART
cana-1235	85	20	analyze	analyze	VERB
cana-1235	85	21	deep	deep	ADJ
cana-1235	85	22	learning	learning	NOUN
cana-1235	85	23	methods	method	NOUN
cana-1235	85	24	machine	machine	NOUN
cana-1235	85	25	learning	learning	NOUN
cana-1235	85	26	strategies	strategy	NOUN
cana-1235	85	27	and	and	CCONJ
cana-1235	85	28	the	the	DET
cana-1235	85	29	conventional	conventional	ADJ
cana-1235	85	30	statistical	statistical	ADJ
cana-1235	85	31	models	model	NOUN
cana-1235	85	32	used	use	VERB
cana-1235	85	33	to	to	PART
cana-1235	85	34	forecast	forecast	VERB
cana-1235	85	35	flight	flight	NOUN
cana-1235	85	36	delays	delay	NOUN
cana-1235	85	37	.	.	PUNCT
cana-1235	86	1	the	the	DET
cana-1235	86	2	deep	deep	ADJ
cana-1235	86	3	belief	belief	NOUN
cana-1235	86	4	networks	network	NOUN
cana-1235	86	5	in	in	ADP
cana-1235	86	6	the	the	DET
cana-1235	86	7	predicative	predicative	NOUN
cana-1235	86	8	modeling	modeling	NOUN
cana-1235	86	9	particularly	particularly	ADV
cana-1235	86	10	when	when	SCONJ
cana-1235	86	11	dealing	deal	VERB
cana-1235	86	12	with	with	ADP
cana-1235	86	13	complicated	complicated	ADJ
cana-1235	86	14	systems	system	NOUN
cana-1235	86	15	like	like	ADP
cana-1235	86	16	airport	airport	NOUN
cana-1235	86	17	operations	operation	NOUN
cana-1235	86	18	and	and	CCONJ
cana-1235	86	19	the	the	DET
cana-1235	86	20	time	time	NOUN
cana-1235	86	21	series	series	NOUN
cana-1235	86	22	of	of	ADP
cana-1235	86	23	the	the	DET
cana-1235	86	24	data	datum	NOUN
cana-1235	86	25	.	.	PUNCT
cana-1235	87	1	the	the	DET
cana-1235	87	2	support	support	NOUN
cana-1235	87	3	vector	vector	NOUN
cana-1235	87	4	regression	regression	NOUN
cana-1235	87	5	is	be	AUX
cana-1235	87	6	used	use	VERB
cana-1235	87	7	in	in	ADP
cana-1235	87	8	the	the	DET
cana-1235	87	9	predicative	predicative	ADJ
cana-1235	87	10	modeling	modeling	NOUN
cana-1235	87	11	in	in	ADP
cana-1235	87	12	this	this	DET
cana-1235	87	13	system	system	NOUN
cana-1235	87	14	by	by	ADP
cana-1235	87	15	paying	pay	VERB
cana-1235	87	16	particular	particular	ADJ
cana-1235	87	17	attention	attention	NOUN
cana-1235	87	18	to	to	ADP
cana-1235	87	19	its	its	PRON
cana-1235	87	20	advantages	advantage	NOUN
cana-1235	87	21	and	and	CCONJ
cana-1235	87	22	also	also	ADV
cana-1235	87	23	disadvantages	disadvantage	NOUN
cana-1235	87	24	while	while	SCONJ
cana-1235	87	25	executing	execute	VERB
cana-1235	87	26	the	the	DET
cana-1235	87	27	regression	regression	NOUN
cana-1235	87	28	tasks	task	NOUN
cana-1235	87	29	.	.	PUNCT
cana-1235	88	1	multiple	multiple	ADJ
cana-1235	88	2	factor	factor	NOUN
cana-1235	88	3	techniques	technique	NOUN
cana-1235	88	4	in	in	ADP
cana-1235	88	5	flight	flight	NOUN
cana-1235	88	6	delay	delay	NOUN
cana-1235	88	7	prediction	prediction	NOUN
cana-1235	88	8	emphasize	emphasize	VERB
cana-1235	88	9	the	the	DET
cana-1235	88	10	value	value	NOUN
cana-1235	88	11	of	of	ADP
cana-1235	88	12	taking	take	VERB
cana-1235	88	13	several	several	ADJ
cana-1235	88	14	aspects	aspect	NOUN
cana-1235	88	15	into	into	ADP
cana-1235	88	16	account	account	NOUN
cana-1235	88	17	at	at	ADP
cana-1235	88	18	the	the	DET
cana-1235	88	19	same	same	ADJ
cana-1235	88	20	time	time	NOUN
cana-1235	88	21	.	.	PUNCT
cana-1235	89	1	flight	flight	NOUN
cana-1235	89	2	delay	delay	NOUN
cana-1235	89	3	prediction	prediction	NOUN
cana-1235	89	4	using	use	VERB
cana-1235	89	5	a	a	DET
cana-1235	89	6	deep	deep	ADJ
cana-1235	89	7	convolution	convolution	NOUN
cana-1235	89	8	neural	neural	ADJ
cana-1235	89	9	network	network	NOUN
cana-1235	89	10	based	base	VERB
cana-1235	89	11	on	on	ADP
cana-1235	89	12	the	the	DET
cana-1235	89	13	fusion	fusion	NOUN
cana-1235	89	14	of	of	ADP
cana-1235	89	15	meteorological	meteorological	ADJ
cana-1235	89	16	data	datum	NOUN
cana-1235	89	17	by	by	ADP
cana-1235	89	18	jingyi	jingyi	PROPN
cana-1235	89	19	qu	qu	PROPN
cana-1235	89	20	et	et	PROPN
cana-1235	89	21	al	al	PROPN
cana-1235	90	1	[	[	X
cana-1235	90	2	9	9	NUM
cana-1235	90	3	]	]	PUNCT
cana-1235	90	4	introduced	introduce	VERB
cana-1235	90	5	precise	precise	ADJ
cana-1235	90	6	flight	flight	NOUN
cana-1235	90	7	delay	delay	NOUN
cana-1235	90	8	forecasting	forecasting	NOUN
cana-1235	90	9	in	in	ADP
cana-1235	90	10	the	the	DET
cana-1235	90	11	commercial	commercial	ADJ
cana-1235	90	12	aviation	aviation	NOUN
cana-1235	90	13	sector	sector	NOUN
cana-1235	90	14	.	.	PUNCT
cana-1235	91	1	on	on	ADP
cana-1235	91	2	the	the	DET
cana-1235	91	3	resnet	resnet	NOUN
cana-1235	91	4	and	and	CCONJ
cana-1235	91	5	its	its	PRON
cana-1235	91	6	uses	use	NOUN
cana-1235	91	7	in	in	ADP
cana-1235	91	8	several	several	ADJ
cana-1235	91	9	fields	field	NOUN
cana-1235	91	10	emphasizing	emphasize	VERB
cana-1235	91	11	both	both	DET
cana-1235	91	12	its	its	PRON
cana-1235	91	13	advantages	advantage	NOUN
cana-1235	91	14	and	and	CCONJ
cana-1235	91	15	the	the	DET
cana-1235	91	16	disadvantages	disadvantage	NOUN
cana-1235	91	17	it	it	PRON
cana-1235	91	18	suggests	suggest	VERB
cana-1235	91	19	enhancing	enhance	VERB
cana-1235	91	20	the	the	DET
cana-1235	91	21	conventional	conventional	ADJ
cana-1235	91	22	cnn	cnn	PROPN
cana-1235	91	23	algorithms	algorithm	NOUN
cana-1235	91	24	particularly	particularly	ADV
cana-1235	91	25	those	those	PRON
cana-1235	91	26	that	that	PRON
cana-1235	91	27	tackle	tackle	VERB
cana-1235	91	28	the	the	DET
cana-1235	91	29	decline	decline	NOUN
cana-1235	91	30	in	in	ADP
cana-1235	91	31	the	the	DET
cana-1235	91	32	performance	performance	NOUN
cana-1235	91	33	as	as	SCONJ
cana-1235	91	34	the	the	DET
cana-1235	91	35	networks	network	NOUN
cana-1235	91	36	get	get	VERB
cana-1235	91	37	more	more	ADV
cana-1235	91	38	complex	complex	ADJ
cana-1235	91	39	.	.	PUNCT
cana-1235	92	1	it	it	PRON
cana-1235	92	2	also	also	ADV
cana-1235	92	3	highlights	highlight	VERB
cana-1235	92	4	adaptive	adaptive	ADJ
cana-1235	92	5	weight	weight	NOUN
cana-1235	92	6	calibration	calibration	NOUN
cana-1235	92	7	and	and	CCONJ
cana-1235	92	8	overall	overall	ADJ
cana-1235	92	9	network	network	NOUN
cana-1235	92	10	performance	performance	NOUN
cana-1235	92	11	improvement	improvement	NOUN
cana-1235	92	12	while	while	SCONJ
cana-1235	92	13	combining	combine	VERB
cana-1235	92	14	all	all	DET
cana-1235	92	15	the	the	DET
cana-1235	92	16	advantages	advantage	NOUN
cana-1235	92	17	of	of	ADP
cana-1235	92	18	the	the	DET
cana-1235	92	19	dense	dense	ADJ
cana-1235	92	20	net	net	NOUN
cana-1235	92	21	and	and	CCONJ
cana-1235	92	22	the	the	DET
cana-1235	92	23	senet	senet	NOUN
cana-1235	92	24	.	.	PUNCT
cana-1235	93	1	analyzing	analyze	VERB
cana-1235	93	2	this	this	DET
cana-1235	93	3	system	system	NOUN
cana-1235	93	4	on	on	ADP
cana-1235	93	5	the	the	DET
cana-1235	93	6	three	three	NUM
cana-1235	93	7	phases	phase	NOUN
cana-1235	93	8	of	of	ADP
cana-1235	93	9	the	the	DET
cana-1235	93	10	features	feature	NOUN
cana-1235	93	11	extraction	extraction	NOUN
cana-1235	93	12	classification	classification	NOUN
cana-1235	93	13	prediction	prediction	NOUN
cana-1235	93	14	and	and	CCONJ
cana-1235	93	15	the	the	DET
cana-1235	93	16	data	data	NOUN
cana-1235	93	17	prediction	prediction	NOUN
cana-1235	93	18	in	in	ADP
cana-1235	93	19	the	the	DET
cana-1235	93	20	flight	flight	NOUN
cana-1235	93	21	delay	delay	NOUN
cana-1235	93	22	grade	grade	NOUN
cana-1235	93	23	prediction	prediction	NOUN
cana-1235	93	24	framework	framework	NOUN
cana-1235	93	25	where	where	SCONJ
cana-1235	93	26	all	all	DET
cana-1235	93	27	the	the	DET
cana-1235	93	28	grades	grade	NOUN
cana-1235	93	29	are	be	AUX
cana-1235	93	30	to	to	PART
cana-1235	93	31	be	be	AUX
cana-1235	93	32	substituted	substitute	VERB
cana-1235	93	33	for	for	ADP
cana-1235	93	34	the	the	DET
cana-1235	93	35	delay	delay	NOUN
cana-1235	93	36	time	time	NOUN
cana-1235	93	37	and	and	CCONJ
cana-1235	93	38	converting	convert	VERB
cana-1235	93	39	prediction	prediction	NOUN
cana-1235	93	40	issue	issue	NOUN
cana-1235	93	41	into	into	ADP
cana-1235	93	42	a	a	DET
cana-1235	93	43	classification	classification	NOUN
cana-1235	93	44	challenge	challenge	NOUN
cana-1235	93	45	.	.	PUNCT
cana-1235	94	1	it	it	PRON
cana-1235	94	2	also	also	ADV
cana-1235	94	3	emphasizes	emphasize	VERB
cana-1235	94	4	how	how	SCONJ
cana-1235	94	5	important	important	ADJ
cana-1235	94	6	meteorological	meteorological	ADJ
cana-1235	94	7	information	information	NOUN
cana-1235	94	8	is	be	AUX
cana-1235	94	9	for	for	SCONJ
cana-1235	94	10	aviation	aviation	NOUN
cana-1235	94	11	forecasts	forecast	NOUN
cana-1235	94	12	to	to	PART
cana-1235	94	13	demonstrate	demonstrate	VERB
cana-1235	94	14	the	the	DET
cana-1235	94	15	value	value	NOUN
cana-1235	94	16	of	of	ADP
cana-1235	94	17	the	the	DET
cana-1235	94	18	meteorological	meteorological	ADJ
cana-1235	94	19	data	datum	NOUN
cana-1235	94	20	in	in	ADP
cana-1235	94	21	the	the	DET
cana-1235	94	22	models	model	NOUN
cana-1235	94	23	for	for	ADP
cana-1235	94	24	predicting	predict	VERB
cana-1235	94	25	flight	flight	NOUN
cana-1235	94	26	delays	delay	NOUN
cana-1235	94	27	that	that	PRON
cana-1235	94	28	contrast	contrast	VERB
cana-1235	94	29	conventional	conventional	ADJ
cana-1235	94	30	methods	method	NOUN
cana-1235	94	31	with	with	ADP
cana-1235	94	32	the	the	DET
cana-1235	94	33	suggested	suggest	VERB
cana-1235	94	34	deep	deep	ADJ
cana-1235	94	35	convolution	convolution	NOUN
cana-1235	94	36	neural	neural	ADJ
cana-1235	94	37	network	network	NOUN
cana-1235	94	38	models	model	NOUN
cana-1235	94	39	to	to	ADP
cana-1235	94	40	communications	communication	NOUN
cana-1235	94	41	on	on	ADP
cana-1235	94	42	applied	apply	VERB
cana-1235	94	43	nonlinear	nonlinear	ADJ
cana-1235	94	44	analysis	analysis	NOUN
cana-1235	94	45	issn	issn	NOUN
cana-1235	94	46	:	:	PUNCT
cana-1235	94	47	1074	1074	NUM
cana-1235	94	48	-	-	PUNCT
cana-1235	94	49	133x	133x	NUM
cana-1235	94	50	vol	vol	NOUN
cana-1235	94	51	31	31	NUM
cana-1235	94	52	no	no	NOUN
cana-1235	94	53	.	.	PUNCT
cana-1235	95	1	6s	6s	NUM
cana-1235	95	2	(	(	PUNCT
cana-1235	95	3	2024	2024	NUM
cana-1235	95	4	)	)	PUNCT
cana-1235	95	5	444	444	NUM
cana-1235	95	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1235	95	7	draw	draw	VERB
cana-1235	95	8	attention	attention	NOUN
cana-1235	95	9	to	to	ADP
cana-1235	95	10	the	the	DET
cana-1235	95	11	research	research	NOUN
cana-1235	95	12	that	that	PRON
cana-1235	95	13	highlights	highlight	VERB
cana-1235	95	14	how	how	SCONJ
cana-1235	95	15	deep	deep	ADJ
cana-1235	95	16	learning	learning	NOUN
cana-1235	95	17	models	model	NOUN
cana-1235	95	18	may	may	AUX
cana-1235	95	19	extract	extract	VERB
cana-1235	95	20	hidden	hidden	ADJ
cana-1235	95	21	values	value	NOUN
cana-1235	95	22	without	without	ADP
cana-1235	95	23	reducing	reduce	VERB
cana-1235	95	24	the	the	DET
cana-1235	95	25	dimensionality	dimensionality	NOUN
cana-1235	95	26	of	of	ADP
cana-1235	95	27	the	the	DET
cana-1235	95	28	features	feature	NOUN
cana-1235	95	29	.	.	PUNCT
cana-1235	96	1	ehsan	ehsan	PROPN
cana-1235	96	2	esmaeilzadeh	esmaeilzadeh	PROPN
cana-1235	96	3	et	et	PROPN
cana-1235	96	4	al	al	PROPN
cana-1235	97	1	[	[	X
cana-1235	97	2	10	10	NUM
cana-1235	97	3	]	]	PUNCT
cana-1235	97	4	introduced	introduce	VERB
cana-1235	97	5	a	a	DET
cana-1235	97	6	machine	machine	NOUN
cana-1235	97	7	learning	learn	VERB
cana-1235	97	8	approach	approach	NOUN
cana-1235	97	9	for	for	ADP
cana-1235	97	10	flight	flight	NOUN
cana-1235	97	11	departure	departure	NOUN
cana-1235	97	12	delay	delay	NOUN
cana-1235	97	13	prediction	prediction	NOUN
cana-1235	97	14	and	and	CCONJ
cana-1235	97	15	analysis	analysis	NOUN
cana-1235	97	16	by	by	ADP
cana-1235	97	17	utilizing	utilize	VERB
cana-1235	97	18	the	the	DET
cana-1235	97	19	support	support	NOUN
cana-1235	97	20	vector	vector	NOUN
cana-1235	97	21	machine	machine	NOUN
cana-1235	97	22	techniques	technique	NOUN
cana-1235	97	23	to	to	PART
cana-1235	97	24	analyze	analyze	VERB
cana-1235	97	25	factors	factor	NOUN
cana-1235	97	26	contributing	contribute	VERB
cana-1235	97	27	to	to	ADP
cana-1235	97	28	flight	flight	NOUN
cana-1235	97	29	delay	delay	NOUN
cana-1235	97	30	and	and	CCONJ
cana-1235	97	31	to	to	PART
cana-1235	97	32	enhance	enhance	VERB
cana-1235	97	33	delay	delay	NOUN
cana-1235	97	34	prediction	prediction	NOUN
cana-1235	97	35	.	.	PUNCT
cana-1235	98	1	the	the	DET
cana-1235	98	2	seminal	seminal	ADJ
cana-1235	98	3	works	work	NOUN
cana-1235	98	4	on	on	ADP
cana-1235	98	5	the	the	DET
cana-1235	98	6	difficulties	difficulty	NOUN
cana-1235	98	7	and	and	CCONJ
cana-1235	98	8	the	the	DET
cana-1235	98	9	importance	importance	NOUN
cana-1235	98	10	of	of	ADP
cana-1235	98	11	flight	flight	NOUN
cana-1235	98	12	delay	delay	NOUN
cana-1235	98	13	prediction	prediction	NOUN
cana-1235	98	14	.	.	PUNCT
cana-1235	99	1	the	the	DET
cana-1235	99	2	current	current	ADJ
cana-1235	99	3	techniques	technique	NOUN
cana-1235	99	4	for	for	ADP
cana-1235	99	5	predicting	predict	VERB
cana-1235	99	6	flight	flight	NOUN
cana-1235	99	7	delays	delay	NOUN
cana-1235	99	8	such	such	ADJ
cana-1235	99	9	as	as	ADP
cana-1235	99	10	statistical	statistical	ADJ
cana-1235	99	11	and	and	CCONJ
cana-1235	99	12	machine	machine	NOUN
cana-1235	99	13	learning	learning	NOUN
cana-1235	99	14	methods	method	NOUN
cana-1235	99	15	address	address	VERB
cana-1235	99	16	the	the	DET
cana-1235	99	17	use	use	NOUN
cana-1235	99	18	of	of	ADP
cana-1235	99	19	the	the	DET
cana-1235	99	20	support	support	NOUN
cana-1235	99	21	vector	vector	NOUN
cana-1235	99	22	machines	machine	NOUN
cana-1235	99	23	in	in	ADP
cana-1235	99	24	the	the	DET
cana-1235	99	25	aviation	aviation	NOUN
cana-1235	99	26	industry	industry	NOUN
cana-1235	99	27	.	.	PUNCT
cana-1235	100	1	the	the	DET
cana-1235	100	2	benefits	benefit	NOUN
cana-1235	100	3	and	and	CCONJ
cana-1235	100	4	drawbacks	drawback	NOUN
cana-1235	100	5	of	of	ADP
cana-1235	100	6	using	use	VERB
cana-1235	100	7	the	the	DET
cana-1235	100	8	svm	svm	NOUN
cana-1235	100	9	to	to	PART
cana-1235	100	10	analyze	analyze	VERB
cana-1235	100	11	the	the	DET
cana-1235	100	12	forecast	forecast	NOUN
cana-1235	100	13	delays	delay	NOUN
cana-1235	100	14	in	in	ADP
cana-1235	100	15	the	the	DET
cana-1235	100	16	national	national	ADJ
cana-1235	100	17	airspace	airspace	NOUN
cana-1235	100	18	system	system	NOUN
cana-1235	100	19	on	on	ADP
cana-1235	100	20	the	the	DET
cana-1235	100	21	application	application	NOUN
cana-1235	100	22	of	of	ADP
cana-1235	100	23	the	the	DET
cana-1235	100	24	multi	multi	ADJ
cana-1235	100	25	-	-	ADJ
cana-1235	100	26	class	class	ADJ
cana-1235	100	27	svm	svm	NOUN
cana-1235	100	28	to	to	ADP
cana-1235	100	29	flight	flight	NOUN
cana-1235	100	30	delay	delay	NOUN
cana-1235	100	31	prediction	prediction	NOUN
cana-1235	100	32	.	.	PUNCT
cana-1235	101	1	it	it	PRON
cana-1235	101	2	affects	affect	VERB
cana-1235	101	3	the	the	DET
cana-1235	101	4	explanatory	explanatory	ADJ
cana-1235	101	5	variables	variable	NOUN
cana-1235	101	6	on	on	ADP
cana-1235	101	7	the	the	DET
cana-1235	101	8	flight	flight	NOUN
cana-1235	101	9	delays	delay	NOUN
cana-1235	101	10	taking	take	VERB
cana-1235	101	11	into	into	ADP
cana-1235	101	12	account	account	NOUN
cana-1235	101	13	elements	element	NOUN
cana-1235	101	14	like	like	ADP
cana-1235	101	15	flow	flow	NOUN
cana-1235	101	16	management	management	NOUN
cana-1235	101	17	features	feature	NOUN
cana-1235	101	18	,	,	PUNCT
cana-1235	101	19	ground	ground	NOUN
cana-1235	101	20	operations	operation	NOUN
cana-1235	101	21	,	,	PUNCT
cana-1235	101	22	demand	demand	NOUN
cana-1235	101	23	capacity	capacity	NOUN
cana-1235	101	24	,	,	PUNCT
cana-1235	101	25	and	and	CCONJ
cana-1235	101	26	weather	weather	NOUN
cana-1235	101	27	information	information	NOUN
cana-1235	101	28	.	.	PUNCT
cana-1235	102	1	the	the	DET
cana-1235	102	2	connection	connection	NOUN
cana-1235	102	3	between	between	ADP
cana-1235	102	4	these	these	DET
cana-1235	102	5	factors	factor	NOUN
cana-1235	102	6	and	and	CCONJ
cana-1235	102	7	the	the	DET
cana-1235	102	8	delay	delay	NOUN
cana-1235	102	9	using	use	VERB
cana-1235	102	10	the	the	DET
cana-1235	102	11	machine	machine	NOUN
cana-1235	102	12	learning	learn	VERB
cana-1235	102	13	techniques	technique	NOUN
cana-1235	102	14	especially	especially	ADV
cana-1235	102	15	the	the	DET
cana-1235	102	16	support	support	NOUN
cana-1235	102	17	vector	vector	NOUN
cana-1235	102	18	machine	machine	NOUN
cana-1235	102	19	to	to	PART
cana-1235	102	20	improve	improve	VERB
cana-1235	102	21	the	the	DET
cana-1235	102	22	predictive	predictive	ADJ
cana-1235	102	23	time	time	NOUN
cana-1235	102	24	during	during	ADP
cana-1235	102	25	the	the	DET
cana-1235	102	26	interruptions	interruption	NOUN
cana-1235	102	27	.	.	PUNCT
cana-1235	103	1	this	this	DET
cana-1235	103	2	system	system	NOUN
cana-1235	103	3	also	also	ADV
cana-1235	103	4	used	use	VERB
cana-1235	103	5	the	the	DET
cana-1235	103	6	highlights	highlight	NOUN
cana-1235	103	7	of	of	ADP
cana-1235	103	8	predictive	predictive	ADJ
cana-1235	103	9	analytics	analytic	NOUN
cana-1235	103	10	in	in	ADP
cana-1235	103	11	the	the	DET
cana-1235	103	12	planning	planning	NOUN
cana-1235	103	13	of	of	ADP
cana-1235	103	14	traffic	traffic	NOUN
cana-1235	103	15	flow	flow	NOUN
cana-1235	103	16	management	management	NOUN
cana-1235	103	17	.	.	PUNCT
cana-1235	104	1	the	the	DET
cana-1235	104	2	system	system	NOUN
cana-1235	104	3	also	also	ADV
cana-1235	104	4	applied	apply	VERB
cana-1235	104	5	machine	machine	NOUN
cana-1235	104	6	learning	learning	NOUN
cana-1235	104	7	methods	method	NOUN
cana-1235	104	8	to	to	PART
cana-1235	104	9	enhance	enhance	VERB
cana-1235	104	10	tfm	tfm	NOUN
cana-1235	104	11	decision	decision	NOUN
cana-1235	104	12	-	-	PUNCT
cana-1235	104	13	making	make	VERB
cana-1235	104	14	procedures	procedure	NOUN
cana-1235	104	15	and	and	CCONJ
cana-1235	104	16	cut	cut	VERB
cana-1235	104	17	down	down	ADP
cana-1235	104	18	on	on	ADP
cana-1235	104	19	the	the	DET
cana-1235	104	20	overall	overall	ADJ
cana-1235	104	21	time	time	NOUN
cana-1235	104	22	.	.	PUNCT
cana-1235	105	1	the	the	DET
cana-1235	105	2	pinpoint	pinpoint	NOUN
cana-1235	105	3	and	and	CCONJ
cana-1235	105	4	the	the	DET
cana-1235	105	5	measures	measure	NOUN
cana-1235	105	6	that	that	PRON
cana-1235	105	7	particularly	particularly	ADV
cana-1235	105	8	affect	affect	VERB
cana-1235	105	9	different	different	ADJ
cana-1235	105	10	variables	variable	NOUN
cana-1235	105	11	on	on	ADP
cana-1235	105	12	the	the	DET
cana-1235	105	13	departure	departure	NOUN
cana-1235	105	14	delay	delay	NOUN
cana-1235	105	15	show	show	VERB
cana-1235	105	16	that	that	SCONJ
cana-1235	105	17	traffic	traffic	NOUN
cana-1235	105	18	management	management	NOUN
cana-1235	105	19	initiatives	initiative	NOUN
cana-1235	105	20	,	,	PUNCT
cana-1235	105	21	weather	weather	NOUN
cana-1235	105	22	activities	activity	NOUN
cana-1235	105	23	,	,	PUNCT
cana-1235	105	24	and	and	CCONJ
cana-1235	105	25	departure	departure	NOUN
cana-1235	105	26	demand	demand	NOUN
cana-1235	105	27	capacity	capacity	NOUN
cana-1235	105	28	levels	level	NOUN
cana-1235	105	29	contribute	contribute	VERB
cana-1235	105	30	to	to	ADP
cana-1235	105	31	flight	flight	NOUN
cana-1235	105	32	delays	delay	NOUN
cana-1235	105	33	.	.	PUNCT
cana-1235	106	1	3	3	X
cana-1235	106	2	.	.	NUM
cana-1235	106	3	proposed	propose	VERB
cana-1235	106	4	technology	technology	NOUN
cana-1235	106	5	and	and	CCONJ
cana-1235	106	6	features	feature	VERB
cana-1235	106	7	one	one	NUM
cana-1235	106	8	of	of	ADP
cana-1235	106	9	the	the	DET
cana-1235	106	10	effective	effective	ADJ
cana-1235	106	11	techniques	technique	NOUN
cana-1235	106	12	that	that	PRON
cana-1235	106	13	analyzes	analyze	VERB
cana-1235	106	14	and	and	CCONJ
cana-1235	106	15	extracts	extract	NOUN
cana-1235	106	16	the	the	DET
cana-1235	106	17	critical	critical	ADJ
cana-1235	106	18	data	data	NOUN
cana-1235	106	19	features	feature	NOUN
cana-1235	106	20	that	that	PRON
cana-1235	106	21	are	be	AUX
cana-1235	106	22	needed	need	VERB
cana-1235	106	23	for	for	ADP
cana-1235	106	24	the	the	DET
cana-1235	106	25	prediction	prediction	NOUN
cana-1235	106	26	is	be	AUX
cana-1235	106	27	a	a	DET
cana-1235	106	28	bi	bi	ADJ
cana-1235	106	29	-	-	ADJ
cana-1235	106	30	directional	directional	ADJ
cana-1235	106	31	long	long	ADJ
cana-1235	106	32	short	short	ADJ
cana-1235	106	33	-	-	PUNCT
cana-1235	106	34	term	term	NOUN
cana-1235	106	35	memory	memory	NOUN
cana-1235	106	36	.	.	PUNCT
cana-1235	107	1	the	the	DET
cana-1235	107	2	proposed	propose	VERB
cana-1235	107	3	system	system	NOUN
cana-1235	107	4	,	,	PUNCT
cana-1235	107	5	the	the	DET
cana-1235	107	6	hybrid	hybrid	ADJ
cana-1235	107	7	machine	machine	NOUN
cana-1235	107	8	learning	learning	NOUN
cana-1235	107	9	technique	technique	NOUN
cana-1235	107	10	lstm	lstm	NOUN
cana-1235	107	11	used	use	VERB
cana-1235	107	12	along	along	ADP
cana-1235	107	13	with	with	ADP
cana-1235	107	14	the	the	DET
cana-1235	107	15	bidirectional	bidirectional	ADJ
cana-1235	107	16	long	long	ADJ
cana-1235	107	17	short	short	ADJ
cana-1235	107	18	-	-	PUNCT
cana-1235	107	19	term	term	NOUN
cana-1235	107	20	memory	memory	NOUN
cana-1235	107	21	to	to	PART
cana-1235	107	22	develop	develop	VERB
cana-1235	107	23	a	a	DET
cana-1235	107	24	framework	framework	NOUN
cana-1235	107	25	for	for	ADP
cana-1235	107	26	predicting	predict	VERB
cana-1235	107	27	flight	flight	NOUN
cana-1235	107	28	delays	delay	NOUN
cana-1235	107	29	.	.	PUNCT
cana-1235	108	1	complicated	complicated	ADJ
cana-1235	108	2	relationships	relationship	NOUN
cana-1235	108	3	in	in	ADP
cana-1235	108	4	the	the	DET
cana-1235	108	5	flight	flight	NOUN
cana-1235	108	6	delays	delay	NOUN
cana-1235	108	7	are	be	AUX
cana-1235	108	8	efficiently	efficiently	ADV
cana-1235	108	9	found	find	VERB
cana-1235	108	10	by	by	ADP
cana-1235	108	11	using	use	VERB
cana-1235	108	12	both	both	CCONJ
cana-1235	108	13	forward	forward	ADV
cana-1235	108	14	and	and	CCONJ
cana-1235	108	15	backward	backward	ADJ
cana-1235	108	16	hidden	hidden	ADJ
cana-1235	108	17	sequences	sequence	NOUN
cana-1235	108	18	.	.	PUNCT
cana-1235	109	1	it	it	PRON
cana-1235	109	2	shows	show	VERB
cana-1235	109	3	the	the	DET
cana-1235	109	4	difficulties	difficulty	NOUN
cana-1235	109	5	caused	cause	VERB
cana-1235	109	6	by	by	ADP
cana-1235	109	7	aircraft	aircraft	NOUN
cana-1235	109	8	delays	delay	NOUN
cana-1235	109	9	and	and	CCONJ
cana-1235	109	10	significantly	significantly	ADV
cana-1235	109	11	enhances	enhance	VERB
cana-1235	109	12	the	the	DET
cana-1235	109	13	disruptions	disruption	NOUN
cana-1235	109	14	in	in	ADP
cana-1235	109	15	the	the	DET
cana-1235	109	16	airline	airline	NOUN
cana-1235	109	17	sector	sector	NOUN
cana-1235	109	18	.	.	PUNCT
cana-1235	110	1	a.	a.	NOUN
cana-1235	110	2	methodology	methodology	PROPN
cana-1235	110	3	to	to	PART
cana-1235	110	4	predict	predict	VERB
cana-1235	110	5	the	the	DET
cana-1235	110	6	flight	flight	NOUN
cana-1235	110	7	delay	delay	NOUN
cana-1235	110	8	here	here	ADV
cana-1235	110	9	we	we	PRON
cana-1235	110	10	are	be	AUX
cana-1235	110	11	going	go	VERB
cana-1235	110	12	to	to	PART
cana-1235	110	13	take	take	VERB
cana-1235	110	14	a	a	DET
cana-1235	110	15	dataset	dataset	NOUN
cana-1235	110	16	ds	ds	NOUN
cana-1235	110	17	as	as	ADP
cana-1235	110	18	input	input	NOUN
cana-1235	110	19	then	then	ADV
cana-1235	110	20	it	it	PRON
cana-1235	110	21	should	should	AUX
cana-1235	110	22	be	be	AUX
cana-1235	110	23	preprocessed	preprocesse	VERB
cana-1235	110	24	and	and	CCONJ
cana-1235	110	25	then	then	ADV
cana-1235	110	26	the	the	DET
cana-1235	110	27	min	min	ADJ
cana-1235	110	28	-	-	ADJ
cana-1235	110	29	max	max	ADJ
cana-1235	110	30	feature	feature	NOUN
cana-1235	110	31	scaling	scale	VERB
cana-1235	110	32	normalization	normalization	NOUN
cana-1235	110	33	takes	take	VERB
cana-1235	110	34	place	place	NOUN
cana-1235	110	35	and	and	CCONJ
cana-1235	110	36	the	the	DET
cana-1235	110	37	given	give	VERB
cana-1235	110	38	data	datum	NOUN
cana-1235	110	39	set	set	VERB
cana-1235	110	40	ds	ds	NOUN
cana-1235	110	41	is	be	AUX
cana-1235	110	42	split	split	VERB
cana-1235	110	43	into	into	ADP
cana-1235	110	44	two	two	NUM
cana-1235	110	45	sets	set	NOUN
cana-1235	110	46	as	as	ADP
cana-1235	110	47	ds	ds	ADJ
cana-1235	110	48	train	train	NOUN
cana-1235	110	49	and	and	CCONJ
cana-1235	110	50	ds	ds	ADJ
cana-1235	110	51	test	test	NOUN
cana-1235	110	52	data	datum	NOUN
cana-1235	110	53	set	set	VERB
cana-1235	110	54	.	.	PUNCT
cana-1235	111	1	after	after	ADP
cana-1235	111	2	completing	complete	VERB
cana-1235	111	3	this	this	DET
cana-1235	111	4	process	process	NOUN
cana-1235	111	5	the	the	DET
cana-1235	111	6	data	datum	NOUN
cana-1235	111	7	set	set	VERB
cana-1235	111	8	is	be	AUX
cana-1235	111	9	sent	send	VERB
cana-1235	111	10	into	into	ADP
cana-1235	111	11	the	the	DET
cana-1235	111	12	proposed	propose	VERB
cana-1235	111	13	system	system	NOUN
cana-1235	111	14	architecture	architecture	NOUN
cana-1235	111	15	which	which	PRON
cana-1235	111	16	consists	consist	VERB
cana-1235	111	17	of	of	ADP
cana-1235	111	18	the	the	DET
cana-1235	111	19	dense	dense	ADJ
cana-1235	111	20	layer	layer	NOUN
cana-1235	111	21	,	,	PUNCT
cana-1235	111	22	and	and	CCONJ
cana-1235	111	23	embedded	embed	VERB
cana-1235	111	24	layer	layer	NOUN
cana-1235	111	25	then	then	ADV
cana-1235	111	26	it	it	PRON
cana-1235	111	27	should	should	AUX
cana-1235	111	28	be	be	AUX
cana-1235	111	29	sent	send	VERB
cana-1235	111	30	to	to	ADP
cana-1235	111	31	the	the	DET
cana-1235	111	32	bilstm	bilstm	NOUN
cana-1235	111	33	mechanism	mechanism	NOUN
cana-1235	111	34	further	far	ADV
cana-1235	111	35	classified	classify	VERB
cana-1235	111	36	and	and	CCONJ
cana-1235	111	37	the	the	DET
cana-1235	111	38	output	output	NOUN
cana-1235	111	39	layer	layer	NOUN
cana-1235	111	40	should	should	AUX
cana-1235	111	41	release	release	VERB
cana-1235	111	42	the	the	DET
cana-1235	111	43	expected	expect	VERB
cana-1235	111	44	data	datum	NOUN
cana-1235	111	45	.	.	PUNCT
cana-1235	112	1	finally	finally	ADV
cana-1235	112	2	,	,	PUNCT
cana-1235	112	3	the	the	DET
cana-1235	112	4	predicted	predict	VERB
cana-1235	112	5	expected	expect	VERB
cana-1235	112	6	data	datum	NOUN
cana-1235	112	7	should	should	AUX
cana-1235	112	8	be	be	AUX
cana-1235	112	9	shown	show	VERB
cana-1235	112	10	fig.1	fig.1	PROPN
cana-1235	112	11	by	by	ADP
cana-1235	112	12	the	the	DET
cana-1235	112	13	model	model	NOUN
cana-1235	112	14	accuracy	accuracy	NOUN
cana-1235	112	15	indicator	indicator	NOUN
cana-1235	112	16	.	.	PUNCT
cana-1235	113	1	communications	communication	NOUN
cana-1235	113	2	on	on	ADP
cana-1235	113	3	applied	apply	VERB
cana-1235	113	4	nonlinear	nonlinear	ADJ
cana-1235	113	5	analysis	analysis	NOUN
cana-1235	113	6	issn	issn	NOUN
cana-1235	113	7	:	:	PUNCT
cana-1235	113	8	1074	1074	NUM
cana-1235	113	9	-	-	PUNCT
cana-1235	113	10	133x	133x	NUM
cana-1235	113	11	vol	vol	NOUN
cana-1235	113	12	31	31	NUM
cana-1235	113	13	no	no	NOUN
cana-1235	113	14	.	.	PUNCT
cana-1235	114	1	6s	6s	NUM
cana-1235	114	2	(	(	PUNCT
cana-1235	114	3	2024	2024	NUM
cana-1235	114	4	)	)	PUNCT
cana-1235	114	5	445	445	NUM
cana-1235	115	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1235	115	2	figure	figure	NOUN
cana-1235	115	3	1	1	NUM
cana-1235	115	4	:	:	PUNCT
cana-1235	115	5	architecture	architecture	NOUN
cana-1235	115	6	of	of	ADP
cana-1235	115	7	the	the	DET
cana-1235	115	8	accuracy	accuracy	NOUN
cana-1235	115	9	proposed	propose	VERB
cana-1235	115	10	algorithm	algorithm	NOUN
cana-1235	115	11	approach	approach	NOUN
cana-1235	115	12	for	for	ADP
cana-1235	115	13	the	the	DET
cana-1235	115	14	bilstm	bilstm	NOUN
cana-1235	115	15	:	:	PUNCT
cana-1235	115	16	input	input	NOUN
cana-1235	115	17	:	:	PUNCT
cana-1235	115	18	dataset	dataset	NOUN
cana-1235	115	19	ds	ds	ADJ
cana-1235	115	20	,	,	PUNCT
cana-1235	115	21	dstrain	dstrain	ADJ
cana-1235	115	22	and	and	CCONJ
cana-1235	115	23	dstest	dst	ADJ
cana-1235	115	24	output	output	NOUN
cana-1235	115	25	:	:	PUNCT
cana-1235	115	26	classification	classification	NOUN
cana-1235	115	27	and	and	CCONJ
cana-1235	115	28	the	the	DET
cana-1235	115	29	prediction	prediction	NOUN
cana-1235	115	30	of	of	ADP
cana-1235	115	31	the	the	DET
cana-1235	115	32	flight	flight	NOUN
cana-1235	115	33	results	result	NOUN
cana-1235	115	34	in	in	ADP
cana-1235	115	35	the	the	DET
cana-1235	115	36	rs	rs	NOUN
cana-1235	115	37	of	of	ADP
cana-1235	115	38	the	the	DET
cana-1235	115	39	test	test	NOUN
cana-1235	115	40	data	datum	NOUN
cana-1235	115	41	.	.	PUNCT
cana-1235	116	1	1	1	X
cana-1235	116	2	.	.	X
cana-1235	116	3	loading	loading	NOUN
cana-1235	116	4	input	input	NOUN
cana-1235	116	5	dataset	dataset	VERB
cana-1235	116	6	ds	ds	ADJ
cana-1235	116	7	2	2	NUM
cana-1235	116	8	.	.	PUNCT
cana-1235	116	9	division	division	NOUN
cana-1235	116	10	of	of	ADP
cana-1235	116	11	dataset	dataset	NOUN
cana-1235	116	12	into	into	ADP
cana-1235	116	13	dstrain	dstrain	ADJ
cana-1235	116	14	and	and	CCONJ
cana-1235	116	15	dstest	dst	ADJ
cana-1235	116	16	3	3	NUM
cana-1235	116	17	.	.	PUNCT
cana-1235	116	18	division	division	NOUN
cana-1235	116	19	of	of	ADP
cana-1235	116	20	dstrain	dstrain	NOUN
cana-1235	116	21	into	into	ADP
cana-1235	116	22	the	the	DET
cana-1235	116	23	train	train	NOUN
cana-1235	116	24	and	and	CCONJ
cana-1235	116	25	the	the	DET
cana-1235	116	26	validation	validation	NOUN
cana-1235	116	27	set	set	NOUN
cana-1235	116	28	for	for	ADP
cana-1235	116	29	the	the	DET
cana-1235	116	30	training	training	NOUN
cana-1235	116	31	algorithm	algorithm	NOUN
cana-1235	116	32	.	.	PUNCT
cana-1235	117	1	4	4	X
cana-1235	117	2	.	.	X
cana-1235	117	3	preprocessiing	preprocessie	VERB
cana-1235	117	4	on	on	ADP
cana-1235	117	5	the	the	DET
cana-1235	117	6	dstrain	dstrain	ADJ
cana-1235	117	7	and	and	CCONJ
cana-1235	117	8	dstest	dst	ADJ
cana-1235	117	9	:	:	PUNCT
cana-1235	117	10	min	min	NOUN
cana-1235	117	11	and	and	CCONJ
cana-1235	117	12	max	max	PROPN
cana-1235	117	13	normalization	normalization	NOUN
cana-1235	117	14	5	5	NUM
cana-1235	117	15	.	.	PUNCT
cana-1235	117	16	by	by	ADP
cana-1235	117	17	using	use	VERB
cana-1235	117	18	the	the	DET
cana-1235	117	19	bilstm	bilstm	NOUN
cana-1235	117	20	layers	layer	NOUN
cana-1235	117	21	to	to	PART
cana-1235	117	22	improve	improve	VERB
cana-1235	117	23	feature	feature	NOUN
cana-1235	117	24	extraction	extraction	NOUN
cana-1235	117	25	of	of	ADP
cana-1235	117	26	the	the	DET
cana-1235	117	27	significant	significant	ADJ
cana-1235	117	28	prediction	prediction	NOUN
cana-1235	117	29	.	.	PUNCT
cana-1235	118	1	6	6	NUM
cana-1235	118	2	.	.	X
cana-1235	118	3	dropout	dropout	NOUN
cana-1235	118	4	layer	layer	NOUN
cana-1235	118	5	is	be	AUX
cana-1235	118	6	used	use	VERB
cana-1235	118	7	to	to	ADP
cana-1235	118	8	overfitting	overfitte	VERB
cana-1235	118	9	.	.	PUNCT
cana-1235	119	1	7	7	X
cana-1235	119	2	.	.	X
cana-1235	119	3	normalization	normalization	NOUN
cana-1235	119	4	of	of	ADP
cana-1235	119	5	the	the	DET
cana-1235	119	6	batches	batch	NOUN
cana-1235	119	7	8	8	NUM
cana-1235	119	8	.	.	PUNCT
cana-1235	120	1	dense	dense	ADJ
cana-1235	120	2	layers	layer	NOUN
cana-1235	120	3	9	9	NUM
cana-1235	120	4	.	.	PUNCT
cana-1235	120	5	fully	fully	ADV
cana-1235	120	6	connected	connect	VERB
cana-1235	120	7	layer	layer	NOUN
cana-1235	120	8	10	10	NUM
cana-1235	120	9	.	.	PUNCT
cana-1235	121	1	final	final	ADJ
cana-1235	121	2	layer	layer	NOUN
cana-1235	121	3	sigmoid	sigmoid	NOUN
cana-1235	121	4	layer	layer	NOUN
cana-1235	121	5	11	11	NUM
cana-1235	121	6	.	.	PUNCT
cana-1235	122	1	for	for	ADP
cana-1235	122	2	each	each	DET
cana-1235	122	3	training	train	VERB
cana-1235	122	4	epoch	epoch	NOUN
cana-1235	122	5	train	train	NOUN
cana-1235	122	6	the	the	DET
cana-1235	122	7	proposed	propose	VERB
cana-1235	122	8	model	model	NOUN
cana-1235	122	9	:	:	PUNCT
cana-1235	122	10	train	train	NOUN
cana-1235	122	11	(	(	PUNCT
cana-1235	122	12	pm	pm	NOUN
cana-1235	122	13	)	)	PUNCT
cana-1235	122	14	12	12	NUM
cana-1235	122	15	.	.	PUNCT
cana-1235	123	1	end	end	VERB
cana-1235	123	2	for	for	ADP
cana-1235	123	3	dstrain	dstrain	ADJ
cana-1235	123	4	,	,	PUNCT
cana-1235	123	5	dstest	dstest	ADJ
cana-1235	123	6	evaluation	evaluation	NOUN
cana-1235	123	7	of	of	ADP
cana-1235	123	8	the	the	DET
cana-1235	123	9	model	model	NOUN
cana-1235	123	10	using	use	VERB
cana-1235	123	11	the	the	DET
cana-1235	123	12	model	model	NOUN
cana-1235	123	13	performance	performance	NOUN
cana-1235	123	14	measure	measure	NOUN
cana-1235	123	15	.	.	PUNCT
cana-1235	124	1	b.	b.	NOUN
cana-1235	124	2	layer	layer	NOUN
cana-1235	124	3	of	of	ADP
cana-1235	124	4	batch	batch	NOUN
cana-1235	124	5	normalization	normalization	NOUN
cana-1235	124	6	here	here	ADV
cana-1235	124	7	the	the	DET
cana-1235	124	8	training	training	NOUN
cana-1235	124	9	data	datum	NOUN
cana-1235	124	10	set	set	VERB
cana-1235	124	11	is	be	AUX
cana-1235	124	12	collected	collect	VERB
cana-1235	124	13	batch	batch	NOUN
cana-1235	124	14	after	after	ADP
cana-1235	124	15	batch	batch	NOUN
cana-1235	124	16	as	as	ADP
cana-1235	124	17	a	a	DET
cana-1235	124	18	result	result	NOUN
cana-1235	124	19	the	the	DET
cana-1235	124	20	distributions	distribution	NOUN
cana-1235	124	21	are	be	AUX
cana-1235	124	22	irregular	irregular	ADJ
cana-1235	124	23	and	and	CCONJ
cana-1235	124	24	unstable	unstable	ADJ
cana-1235	124	25	requiring	require	VERB
cana-1235	124	26	the	the	DET
cana-1235	124	27	fitting	fitting	NOUN
cana-1235	124	28	of	of	ADP
cana-1235	124	29	the	the	DET
cana-1235	124	30	network	network	NOUN
cana-1235	124	31	parameters	parameter	NOUN
cana-1235	124	32	throughout	throughout	ADP
cana-1235	124	33	each	each	DET
cana-1235	124	34	training	training	NOUN
cana-1235	124	35	cycle	cycle	NOUN
cana-1235	124	36	to	to	PART
cana-1235	124	37	demonstrate	demonstrate	VERB
cana-1235	124	38	the	the	DET
cana-1235	124	39	significant	significant	ADJ
cana-1235	124	40	convergence	convergence	NOUN
cana-1235	124	41	.	.	PUNCT
cana-1235	125	1	here	here	ADV
cana-1235	125	2	reparameterization	reparameterization	NOUN
cana-1235	125	3	is	be	AUX
cana-1235	125	4	done	do	VERB
cana-1235	125	5	by	by	ADP
cana-1235	125	6	batch	batch	NOUN
cana-1235	125	7	normalization	normalization	NOUN
cana-1235	125	8	.	.	PUNCT
cana-1235	126	1	the	the	DET
cana-1235	126	2	mean	mean	ADJ
cana-1235	126	3	αds	αd	NOUN
cana-1235	126	4	and	and	CCONJ
cana-1235	126	5	the	the	DET
cana-1235	126	6	variance	variance	NOUN
cana-1235	126	7	∝2ds	∝2ds	PROPN
cana-1235	126	8	are	be	AUX
cana-1235	126	9	obtained	obtain	VERB
cana-1235	126	10	from	from	ADP
cana-1235	126	11	the	the	DET
cana-1235	126	12	normalization	normalization	NOUN
cana-1235	126	13	of	of	ADP
cana-1235	126	14	the	the	DET
cana-1235	126	15	batch	batch	NOUN
cana-1235	126	16	mechanism	mechanism	NOUN
cana-1235	126	17	for	for	ADP
cana-1235	126	18	every	every	DET
cana-1235	126	19	training	training	NOUN
cana-1235	126	20	dataset	dataset	NOUN
cana-1235	126	21	batch	batch	NOUN
cana-1235	126	22	with	with	ADP
cana-1235	126	23	the	the	DET
cana-1235	126	24	real	real	ADJ
cana-1235	126	25	dataset	dataset	NOUN
cana-1235	126	26	scaling	scaling	NOUN
cana-1235	126	27	to	to	ADP
cana-1235	126	28	zero	zero	NUM
cana-1235	126	29	mean	mean	NOUN
cana-1235	126	30	and	and	CCONJ
cana-1235	126	31	the	the	DET
cana-1235	126	32	unity	unity	NOUN
cana-1235	126	33	variance	variance	NOUN
cana-1235	126	34	.	.	PUNCT
cana-1235	127	1	𝛼𝐷𝑆=	𝛼𝐷𝑆=	NOUN
cana-1235	127	2	1	1	NUM
cana-1235	127	3	𝑁	𝑁	PROPN
cana-1235	127	4	∑	∑	PROPN
cana-1235	127	5	𝑎𝑗	𝑎𝑗	ADP
cana-1235	127	6	𝑛	𝑛	PRON
cana-1235	127	7	𝑗=1	𝑗=1	X
cana-1235	127	8	(	(	PUNCT
cana-1235	127	9	1	1	X
cana-1235	127	10	)	)	PUNCT
cana-1235	127	11	communications	communication	NOUN
cana-1235	127	12	on	on	ADP
cana-1235	127	13	applied	apply	VERB
cana-1235	127	14	nonlinear	nonlinear	ADJ
cana-1235	127	15	analysis	analysis	NOUN
cana-1235	127	16	issn	issn	NOUN
cana-1235	127	17	:	:	PUNCT
cana-1235	127	18	1074	1074	NUM
cana-1235	127	19	-	-	PUNCT
cana-1235	127	20	133x	133x	NUM
cana-1235	127	21	vol	vol	NOUN
cana-1235	127	22	31	31	NUM
cana-1235	127	23	no	no	NOUN
cana-1235	127	24	.	.	PUNCT
cana-1235	128	1	6s	6s	NUM
cana-1235	128	2	(	(	PUNCT
cana-1235	128	3	2024	2024	NUM
cana-1235	128	4	)	)	PUNCT
cana-1235	128	5	446	446	NUM
cana-1235	128	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1235	128	7	∝𝐷𝑆	∝𝐷𝑆	NOUN
cana-1235	128	8	2	2	NUM
cana-1235	128	9	=	=	SYM
cana-1235	128	10	1	1	NUM
cana-1235	128	11	𝑛	𝑛	NOUN
cana-1235	128	12	∑	∑	PUNCT
cana-1235	128	13	(	(	PUNCT
cana-1235	128	14	𝑎𝑖𝑗	𝑎𝑖𝑗	X
cana-1235	128	15	−∝𝐷𝑆	−∝𝐷𝑆	PROPN
cana-1235	128	16	)	)	PUNCT
cana-1235	128	17	2𝑛	2𝑛	PROPN
cana-1235	129	1	𝑖𝑗=1	𝑖𝑗=1	PROPN
cana-1235	129	2	(	(	PUNCT
cana-1235	129	3	2	2	NUM
cana-1235	129	4	)	)	PUNCT
cana-1235	129	5	�	�	NOUN
cana-1235	129	6	̂	̂	NOUN
cana-1235	129	7	�	�	NOUN
cana-1235	129	8	𝑖𝑗=	𝑖𝑗=	ADJ
cana-1235	129	9	𝑎𝑖𝑗−∝𝐷𝑆	𝑎𝑖𝑗−∝𝐷𝑆	PROPN
cana-1235	129	10	√∝2+𝐹	√∝2+𝐹	X
cana-1235	129	11	(	(	PUNCT
cana-1235	129	12	3	3	X
cana-1235	129	13	)	)	PUNCT
cana-1235	129	14	𝑏𝑖𝑗=𝛾𝑎1̂	𝑏𝑖𝑗=𝛾𝑎1̂	NOUN
cana-1235	129	15	+	+	CCONJ
cana-1235	129	16	𝛽	𝛽	NOUN
cana-1235	129	17	(	(	PUNCT
cana-1235	129	18	4	4	NUM
cana-1235	129	19	)	)	PUNCT
cana-1235	129	20	where	where	SCONJ
cana-1235	129	21	bij	bij	NOUN
cana-1235	129	22	,	,	PUNCT
cana-1235	129	23	γ	γ	X
cana-1235	129	24	,	,	PUNCT
cana-1235	129	25	and	and	CCONJ
cana-1235	129	26	β	β	X
cana-1235	129	27	are	be	AUX
cana-1235	129	28	the	the	DET
cana-1235	129	29	final	final	ADJ
cana-1235	129	30	normalized	normalize	VERB
cana-1235	129	31	values	value	NOUN
cana-1235	129	32	and	and	CCONJ
cana-1235	129	33	the	the	DET
cana-1235	129	34	parameters	parameter	NOUN
cana-1235	129	35	.	.	PUNCT
cana-1235	130	1	the	the	DET
cana-1235	130	2	bidirectional	bidirectional	ADJ
cana-1235	130	3	long	long	ADJ
cana-1235	130	4	short	short	ADJ
cana-1235	130	5	-	-	PUNCT
cana-1235	130	6	term	term	NOUN
cana-1235	130	7	memory	memory	NOUN
cana-1235	130	8	resulted	result	VERB
cana-1235	130	9	in	in	ADP
cana-1235	130	10	the	the	DET
cana-1235	130	11	various	various	ADJ
cana-1235	130	12	neural	neural	ADJ
cana-1235	130	13	network	network	NOUN
cana-1235	130	14	-	-	PUNCT
cana-1235	130	15	based	base	VERB
cana-1235	130	16	models	model	NOUN
cana-1235	130	17	that	that	PRON
cana-1235	130	18	are	be	AUX
cana-1235	130	19	utilized	utilize	VERB
cana-1235	130	20	to	to	PART
cana-1235	130	21	solve	solve	VERB
cana-1235	130	22	the	the	DET
cana-1235	130	23	problems	problem	NOUN
cana-1235	130	24	in	in	ADP
cana-1235	130	25	this	this	DET
cana-1235	130	26	modern	modern	ADJ
cana-1235	130	27	world	world	NOUN
cana-1235	130	28	.	.	PUNCT
cana-1235	131	1	the	the	DET
cana-1235	131	2	flight	flight	NOUN
cana-1235	131	3	delays	delay	NOUN
cana-1235	131	4	are	be	AUX
cana-1235	131	5	predicted	predict	VERB
cana-1235	131	6	by	by	ADP
cana-1235	131	7	using	use	VERB
cana-1235	131	8	the	the	DET
cana-1235	131	9	bilstm	bilstm	NOUN
cana-1235	131	10	approach	approach	NOUN
cana-1235	131	11	which	which	PRON
cana-1235	131	12	is	be	AUX
cana-1235	131	13	efficient	efficient	ADJ
cana-1235	131	14	due	due	ADP
cana-1235	131	15	to	to	ADP
cana-1235	131	16	ots	ots	PROPN
cana-1235	131	17	memory	memory	NOUN
cana-1235	131	18	-	-	PUNCT
cana-1235	131	19	oriented	orient	VERB
cana-1235	131	20	abilities	ability	NOUN
cana-1235	131	21	.	.	PUNCT
cana-1235	132	1	two	two	NUM
cana-1235	132	2	values	value	NOUN
cana-1235	132	3	that	that	PRON
cana-1235	132	4	are	be	AUX
cana-1235	132	5	stored	store	VERB
cana-1235	132	6	in	in	ADP
cana-1235	132	7	the	the	DET
cana-1235	132	8	bilstm	bilstm	NOUN
cana-1235	132	9	hidden	hide	VERB
cana-1235	132	10	layer	layer	NOUN
cana-1235	132	11	are	be	AUX
cana-1235	132	12	utilized	utilize	VERB
cana-1235	132	13	in	in	ADP
cana-1235	132	14	both	both	CCONJ
cana-1235	132	15	forward	forward	ADJ
cana-1235	132	16	and	and	CCONJ
cana-1235	132	17	backward	backward	ADJ
cana-1235	132	18	calculations	calculation	NOUN
cana-1235	132	19	.	.	PUNCT
cana-1235	133	1	c.	c.	NOUN
cana-1235	133	2	design	design	PROPN
cana-1235	133	3	of	of	ADP
cana-1235	133	4	bidirectional	bidirectional	ADJ
cana-1235	133	5	long	long	ADJ
cana-1235	133	6	short	short	ADJ
cana-1235	133	7	-	-	PUNCT
cana-1235	133	8	term	term	NOUN
cana-1235	133	9	memory	memory	NOUN
cana-1235	133	10	the	the	DET
cana-1235	133	11	bidirectional	bidirectional	ADJ
cana-1235	133	12	long	long	ADJ
cana-1235	133	13	short	short	ADJ
cana-1235	133	14	-	-	PUNCT
cana-1235	133	15	term	term	NOUN
cana-1235	133	16	memory	memory	NOUN
cana-1235	133	17	resulted	result	VERB
cana-1235	133	18	in	in	ADP
cana-1235	133	19	the	the	DET
cana-1235	133	20	various	various	ADJ
cana-1235	133	21	neural	neural	ADJ
cana-1235	133	22	network	network	NOUN
cana-1235	133	23	-	-	PUNCT
cana-1235	133	24	based	base	VERB
cana-1235	133	25	models	model	NOUN
cana-1235	133	26	that	that	PRON
cana-1235	133	27	are	be	AUX
cana-1235	133	28	utilized	utilize	VERB
cana-1235	133	29	to	to	PART
cana-1235	133	30	solve	solve	VERB
cana-1235	133	31	the	the	DET
cana-1235	133	32	problems	problem	NOUN
cana-1235	133	33	in	in	ADP
cana-1235	133	34	this	this	DET
cana-1235	133	35	modern	modern	ADJ
cana-1235	133	36	world	world	NOUN
cana-1235	133	37	.	.	PUNCT
cana-1235	134	1	the	the	DET
cana-1235	134	2	flight	flight	NOUN
cana-1235	134	3	delays	delay	NOUN
cana-1235	134	4	are	be	AUX
cana-1235	134	5	predicted	predict	VERB
cana-1235	134	6	by	by	ADP
cana-1235	134	7	using	use	VERB
cana-1235	134	8	the	the	DET
cana-1235	134	9	bilstm	bilstm	NOUN
cana-1235	134	10	approach	approach	NOUN
cana-1235	134	11	which	which	PRON
cana-1235	134	12	is	be	AUX
cana-1235	134	13	efficient	efficient	ADJ
cana-1235	134	14	due	due	ADP
cana-1235	134	15	to	to	ADP
cana-1235	134	16	ots	ots	PROPN
cana-1235	134	17	memory	memory	NOUN
cana-1235	134	18	-	-	PUNCT
cana-1235	134	19	oriented	orient	VERB
cana-1235	134	20	abilities	ability	NOUN
cana-1235	134	21	.	.	PUNCT
cana-1235	135	1	two	two	NUM
cana-1235	135	2	values	value	NOUN
cana-1235	135	3	that	that	PRON
cana-1235	135	4	are	be	AUX
cana-1235	135	5	stored	store	VERB
cana-1235	135	6	in	in	ADP
cana-1235	135	7	the	the	DET
cana-1235	135	8	bilstm	bilstm	NOUN
cana-1235	135	9	hidden	hide	VERB
cana-1235	135	10	layer	layer	NOUN
cana-1235	135	11	are	be	AUX
cana-1235	135	12	utilized	utilize	VERB
cana-1235	135	13	in	in	ADP
cana-1235	135	14	both	both	CCONJ
cana-1235	135	15	forward	forward	ADJ
cana-1235	135	16	and	and	CCONJ
cana-1235	135	17	backward	backward	ADJ
cana-1235	135	18	calculations	calculation	NOUN
cana-1235	135	19	.	.	PUNCT
cana-1235	136	1	figure	figure	NOUN
cana-1235	136	2	2	2	NUM
cana-1235	136	3	:	:	PUNCT
cana-1235	136	4	forward	forward	ADJ
cana-1235	136	5	and	and	CCONJ
cana-1235	136	6	backward	backward	ADJ
cana-1235	136	7	layers	layer	NOUN
cana-1235	136	8	present	present	ADJ
cana-1235	136	9	in	in	ADP
cana-1235	136	10	the	the	DET
cana-1235	136	11	bi	bi	ADJ
cana-1235	136	12	-	-	ADJ
cana-1235	136	13	lstm	lstm	ADJ
cana-1235	136	14	architecture	architecture	NOUN
cana-1235	136	15	.	.	PUNCT
cana-1235	137	1	the	the	DET
cana-1235	137	2	above	above	ADJ
cana-1235	137	3	bi	bi	ADJ
cana-1235	137	4	lstm	lstm	NOUN
cana-1235	137	5	architecture	architecture	NOUN
cana-1235	137	6	consists	consist	VERB
cana-1235	137	7	of	of	ADP
cana-1235	137	8	the	the	DET
cana-1235	137	9	input	input	NOUN
cana-1235	137	10	layer	layer	NOUN
cana-1235	137	11	,	,	PUNCT
cana-1235	137	12	bilstm	bilstm	NOUN
cana-1235	137	13	layers	layer	NOUN
cana-1235	137	14	,	,	PUNCT
cana-1235	137	15	as	as	ADV
cana-1235	137	16	well	well	ADV
cana-1235	137	17	as	as	ADP
cana-1235	137	18	output	output	NOUN
cana-1235	137	19	layer	layer	NOUN
cana-1235	137	20	.	.	PUNCT
cana-1235	138	1	the	the	DET
cana-1235	138	2	flight	flight	NOUN
cana-1235	138	3	data	data	NOUN
cana-1235	138	4	is	be	AUX
cana-1235	138	5	the	the	DET
cana-1235	138	6	input	input	NOUN
cana-1235	138	7	to	to	ADP
cana-1235	138	8	the	the	DET
cana-1235	138	9	networks	network	NOUN
cana-1235	138	10	which	which	PRON
cana-1235	138	11	includes	include	VERB
cana-1235	138	12	relevant	relevant	ADJ
cana-1235	138	13	features	feature	NOUN
cana-1235	138	14	like	like	ADP
cana-1235	138	15	departure	departure	NOUN
cana-1235	138	16	time	time	NOUN
cana-1235	138	17	weather	weather	NOUN
cana-1235	138	18	conditions	condition	NOUN
cana-1235	138	19	etc	etc	X
cana-1235	138	20	.	.	X
cana-1235	138	21	,	,	PUNCT
cana-1235	138	22	the	the	DET
cana-1235	138	23	main	main	ADJ
cana-1235	138	24	architecture	architecture	NOUN
cana-1235	138	25	of	of	ADP
cana-1235	138	26	the	the	DET
cana-1235	138	27	bilstm	bilstm	NOUN
cana-1235	138	28	consists	consist	VERB
cana-1235	138	29	of	of	ADP
cana-1235	138	30	two	two	NUM
cana-1235	138	31	lstm	lstm	ADJ
cana-1235	138	32	sub	sub	NOUN
cana-1235	138	33	-	-	NOUN
cana-1235	138	34	layers	layer	NOUN
cana-1235	138	35	in	in	ADP
cana-1235	138	36	these	these	DET
cana-1235	138	37	two	two	NUM
cana-1235	138	38	layers	layer	NOUN
cana-1235	138	39	one	one	NUM
cana-1235	138	40	-	-	PUNCT
cana-1235	138	41	layer	layer	NOUN
cana-1235	138	42	processes	process	VERB
cana-1235	138	43	the	the	DET
cana-1235	138	44	input	input	NOUN
cana-1235	138	45	sequences	sequence	NOUN
cana-1235	138	46	in	in	ADP
cana-1235	138	47	the	the	DET
cana-1235	138	48	forward	forward	ADJ
cana-1235	138	49	direction	direction	NOUN
cana-1235	138	50	where	where	SCONJ
cana-1235	138	51	whereas	whereas	SCONJ
cana-1235	138	52	another	another	DET
cana-1235	138	53	layer	layer	NOUN
cana-1235	138	54	processes	process	NOUN
cana-1235	138	55	in	in	ADP
cana-1235	138	56	the	the	DET
cana-1235	138	57	backward	backward	ADJ
cana-1235	138	58	direction	direction	NOUN
cana-1235	138	59	.	.	PUNCT
cana-1235	139	1	the	the	DET
cana-1235	139	2	lstm	lstm	PROPN
cana-1235	139	3	units	unit	NOUN
cana-1235	139	4	consist	consist	VERB
cana-1235	139	5	of	of	ADP
cana-1235	139	6	memory	memory	NOUN
cana-1235	139	7	cells	cell	NOUN
cana-1235	139	8	and	and	CCONJ
cana-1235	139	9	various	various	ADJ
cana-1235	139	10	gates	gate	NOUN
cana-1235	139	11	to	to	PART
cana-1235	139	12	control	control	VERB
cana-1235	139	13	the	the	DET
cana-1235	139	14	flow	flow	NOUN
cana-1235	139	15	of	of	ADP
cana-1235	139	16	the	the	DET
cana-1235	139	17	data	datum	NOUN
cana-1235	139	18	.	.	PUNCT
cana-1235	140	1	the	the	DET
cana-1235	140	2	last	last	ADJ
cana-1235	140	3	layer	layer	NOUN
cana-1235	140	4	in	in	ADP
cana-1235	140	5	the	the	DET
cana-1235	140	6	architecture	architecture	NOUN
cana-1235	140	7	is	be	AUX
cana-1235	140	8	the	the	DET
cana-1235	140	9	output	output	NOUN
cana-1235	140	10	layer	layer	NOUN
cana-1235	140	11	which	which	PRON
cana-1235	140	12	produces	produce	VERB
cana-1235	140	13	the	the	DET
cana-1235	140	14	final	final	ADJ
cana-1235	140	15	flight	flight	NOUN
cana-1235	140	16	delay	delay	NOUN
cana-1235	140	17	prediction	prediction	NOUN
cana-1235	140	18	.	.	PUNCT
cana-1235	141	1	based	base	VERB
cana-1235	141	2	on	on	ADP
cana-1235	141	3	the	the	DET
cana-1235	141	4	specific	specific	ADJ
cana-1235	141	5	task	task	NOUN
cana-1235	141	6	there	there	PRON
cana-1235	141	7	should	should	AUX
cana-1235	141	8	consist	consist	VERB
cana-1235	141	9	of	of	ADP
cana-1235	141	10	one	one	NUM
cana-1235	141	11	or	or	CCONJ
cana-1235	141	12	more	more	ADJ
cana-1235	141	13	neurons	neuron	NOUN
cana-1235	141	14	.	.	PUNCT
cana-1235	142	1	𝑓𝑚	𝑓𝑚	PROPN
cana-1235	142	2	=	=	SYM
cana-1235	142	3	𝜎(𝑤[𝑥𝑚	𝜎(𝑤[𝑥𝑚	PROPN
cana-1235	142	4	,	,	PUNCT
cana-1235	142	5	ℎ𝑚−1,𝐶𝑚−1	ℎ𝑚−1,𝐶𝑚−1	PROPN
cana-1235	142	6	]	]	PUNCT
cana-1235	142	7	+	+	CCONJ
cana-1235	142	8	𝑛𝑢	𝑛𝑢	PROPN
cana-1235	142	9	)	)	PUNCT
cana-1235	142	10	communications	communication	NOUN
cana-1235	142	11	on	on	ADP
cana-1235	142	12	applied	apply	VERB
cana-1235	142	13	nonlinear	nonlinear	ADJ
cana-1235	142	14	analysis	analysis	NOUN
cana-1235	142	15	issn	issn	NOUN
cana-1235	142	16	:	:	PUNCT
cana-1235	142	17	1074	1074	NUM
cana-1235	142	18	-	-	PUNCT
cana-1235	142	19	133x	133x	NUM
cana-1235	142	20	vol	vol	NOUN
cana-1235	142	21	31	31	NUM
cana-1235	142	22	no	no	NOUN
cana-1235	142	23	.	.	PUNCT
cana-1235	143	1	6s	6s	NUM
cana-1235	143	2	(	(	PUNCT
cana-1235	143	3	2024	2024	NUM
cana-1235	143	4	)	)	PUNCT
cana-1235	143	5	447	447	NUM
cana-1235	143	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1235	143	7	where	where	SCONJ
cana-1235	143	8	the	the	DET
cana-1235	143	9	𝑥𝑚	𝑥𝑚	NOUN
cana-1235	143	10	denotes	denote	VERB
cana-1235	143	11	the	the	DET
cana-1235	143	12	sequence	sequence	NOUN
cana-1235	143	13	of	of	ADP
cana-1235	143	14	the	the	DET
cana-1235	143	15	inputs	input	NOUN
cana-1235	143	16	,	,	PUNCT
cana-1235	143	17	ℎ𝑚−1	ℎ𝑚−1	PROPN
cana-1235	143	18	is	be	AUX
cana-1235	143	19	the	the	DET
cana-1235	143	20	output	output	NOUN
cana-1235	143	21	of	of	ADP
cana-1235	143	22	previous	previous	ADJ
cana-1235	143	23	block	block	NOUN
cana-1235	143	24	,	,	PUNCT
cana-1235	143	25	𝐶𝑚−1	𝐶𝑚−1	PROPN
cana-1235	143	26	indicates	indicate	VERB
cana-1235	143	27	the	the	DET
cana-1235	143	28	block	block	NOUN
cana-1235	143	29	memory	memory	NOUN
cana-1235	143	30	of	of	ADP
cana-1235	143	31	the	the	DET
cana-1235	143	32	previous	previous	ADJ
cana-1235	143	33	lstm	lstm	NOUN
cana-1235	143	34	and	and	CCONJ
cana-1235	143	35	the	the	DET
cana-1235	143	36	bias	bias	NOUN
cana-1235	143	37	vector	vector	NOUN
cana-1235	143	38	is	be	AUX
cana-1235	143	39	denoted	denote	VERB
cana-1235	143	40	by	by	ADP
cana-1235	143	41	the	the	DET
cana-1235	143	42	𝑛𝑢	𝑛𝑢	PROPN
cana-1235	143	43	.the	.the	DET
cana-1235	143	44	individual	individual	ADJ
cana-1235	143	45	vectors	vector	NOUN
cana-1235	143	46	for	for	ADP
cana-1235	143	47	every	every	DET
cana-1235	143	48	input	input	NOUN
cana-1235	143	49	is	be	AUX
cana-1235	143	50	denoted	denote	VERB
cana-1235	143	51	by	by	ADP
cana-1235	143	52	the	the	DET
cana-1235	143	53	wwhere	wwhere	NOUN
cana-1235	143	54	the	the	DET
cana-1235	143	55	logistic	logistic	ADJ
cana-1235	143	56	sigmoid	sigmoid	NOUN
cana-1235	143	57	activation	activation	NOUN
cana-1235	143	58	function	function	NOUN
cana-1235	143	59	is	be	AUX
cana-1235	143	60	denoted	denote	VERB
cana-1235	143	61	by	by	ADP
cana-1235	143	62	the	the	DET
cana-1235	143	63	𝜎.	𝜎.	PROPN
cana-1235	143	64	d.	d.	PROPN
cana-1235	143	65	design	design	PROPN
cana-1235	143	66	of	of	ADP
cana-1235	143	67	the	the	DET
cana-1235	143	68	one	one	NUM
cana-1235	143	69	-	-	PUNCT
cana-1235	143	70	way	way	NOUN
cana-1235	143	71	long	long	ADJ
cana-1235	143	72	short	short	ADJ
cana-1235	143	73	-	-	PUNCT
cana-1235	143	74	term	term	NOUN
cana-1235	143	75	memory	memory	NOUN
cana-1235	143	76	network	network	NOUN
cana-1235	143	77	the	the	DET
cana-1235	143	78	lstm	lstm	PROPN
cana-1235	143	79	encoder	encoder	NOUN
cana-1235	143	80	uses	use	VERB
cana-1235	143	81	the	the	DET
cana-1235	143	82	time	time	NOUN
cana-1235	143	83	series	series	NOUN
cana-1235	143	84	sequence	sequence	NOUN
cana-1235	143	85	as	as	ADP
cana-1235	143	86	input	input	NOUN
cana-1235	143	87	and	and	CCONJ
cana-1235	143	88	creates	create	VERB
cana-1235	143	89	the	the	DET
cana-1235	143	90	input	input	NOUN
cana-1235	143	91	sequence	sequence	NOUN
cana-1235	143	92	for	for	ADP
cana-1235	143	93	every	every	DET
cana-1235	143	94	lstm	lstm	ADJ
cana-1235	143	95	cell	cell	NOUN
cana-1235	143	96	result	result	NOUN
cana-1235	143	97	in	in	ADP
cana-1235	143	98	a	a	DET
cana-1235	143	99	vector	vector	NOUN
cana-1235	143	100	with	with	ADP
cana-1235	143	101	hidden	hidden	ADJ
cana-1235	143	102	and	and	CCONJ
cana-1235	143	103	cell	cell	NOUN
cana-1235	143	104	states	state	NOUN
cana-1235	143	105	also	also	ADV
cana-1235	143	106	the	the	DET
cana-1235	143	107	additional	additional	ADJ
cana-1235	143	108	decoder	decoder	NOUN
cana-1235	143	109	inputs	input	NOUN
cana-1235	143	110	produced	produce	VERB
cana-1235	143	111	for	for	ADP
cana-1235	143	112	the	the	DET
cana-1235	143	113	predictions	prediction	NOUN
cana-1235	143	114	are	be	AUX
cana-1235	143	115	sent	send	VERB
cana-1235	143	116	to	to	ADP
cana-1235	143	117	the	the	DET
cana-1235	143	118	lstm	lstm	NOUN
cana-1235	143	119	decoder	decoder	NOUN
cana-1235	143	120	to	to	PART
cana-1235	143	121	train	train	VERB
cana-1235	143	122	against	against	ADP
cana-1235	143	123	the	the	DET
cana-1235	143	124	expected	expect	VERB
cana-1235	143	125	result	result	NOUN
cana-1235	143	126	for	for	ADP
cana-1235	143	127	the	the	DET
cana-1235	143	128	target	target	NOUN
cana-1235	143	129	output	output	NOUN
cana-1235	143	130	sequence	sequence	NOUN
cana-1235	143	131	as	as	ADP
cana-1235	143	132	the	the	DET
cana-1235	143	133	decoder	decoder	NOUN
cana-1235	143	134	output	output	NOUN
cana-1235	143	135	during	during	ADP
cana-1235	143	136	the	the	DET
cana-1235	143	137	model	model	NOUN
cana-1235	143	138	training	training	NOUN
cana-1235	143	139	process	process	NOUN
cana-1235	143	140	.	.	PUNCT
cana-1235	144	1	e.	e.	PROPN
cana-1235	144	2	evaluation	evaluation	NOUN
cana-1235	144	3	metrics	metric	NOUN
cana-1235	144	4	model	model	NOUN
cana-1235	144	5	accuracy	accuracy	NOUN
cana-1235	144	6	is	be	AUX
cana-1235	144	7	calculated	calculate	VERB
cana-1235	144	8	by	by	ADP
cana-1235	144	9	accuracy	accuracy	NOUN
cana-1235	144	10	=	=	SYM
cana-1235	144	11	∑	∑	PUNCT
cana-1235	144	12	(	(	PUNCT
cana-1235	144	13	𝑇𝑃𝑚+𝑇𝑁𝑚	𝑇𝑃𝑚+𝑇𝑁𝑚	NOUN
cana-1235	144	14	𝑍	𝑍	VERB
cana-1235	144	15	𝑚=0	𝑚=0	PUNCT
cana-1235	144	16	∑	∑	PUNCT
cana-1235	144	17	(	(	PUNCT
cana-1235	144	18	𝑇𝑃𝑚+𝐹𝑃𝑚+𝐹𝑁𝑚	𝑇𝑃𝑚+𝐹𝑃𝑚+𝐹𝑁𝑚	PROPN
cana-1235	144	19	)	)	PUNCT
cana-1235	144	20	𝑧	𝑧	DET
cana-1235	144	21	𝑚=0	𝑚=0	ADP
cana-1235	144	22	4	4	NUM
cana-1235	144	23	.	.	NOUN
cana-1235	144	24	results	result	NOUN
cana-1235	144	25	and	and	CCONJ
cana-1235	144	26	discussion	discussion	NOUN
cana-1235	144	27	in	in	ADP
cana-1235	144	28	this	this	DET
cana-1235	144	29	research	research	NOUN
cana-1235	144	30	,	,	PUNCT
cana-1235	144	31	flight	flight	NOUN
cana-1235	144	32	delays	delay	NOUN
cana-1235	144	33	is	be	AUX
cana-1235	144	34	significantly	significantly	ADV
cana-1235	144	35	affecting	affect	VERB
cana-1235	144	36	airline	airline	NOUN
cana-1235	144	37	schedules	schedule	NOUN
cana-1235	144	38	,	,	PUNCT
cana-1235	144	39	resource	resource	NOUN
cana-1235	144	40	management	management	NOUN
cana-1235	144	41	,	,	PUNCT
cana-1235	144	42	and	and	CCONJ
cana-1235	144	43	passenger	passenger	NOUN
cana-1235	144	44	satisfaction	satisfaction	NOUN
cana-1235	144	45	,	,	PUNCT
cana-1235	144	46	posing	pose	VERB
cana-1235	144	47	considerable	considerable	ADJ
cana-1235	144	48	challenges	challenge	NOUN
cana-1235	144	49	for	for	ADP
cana-1235	144	50	blended	blend	VERB
cana-1235	144	51	the	the	DET
cana-1235	144	52	aviation	aviation	NOUN
cana-1235	144	53	sector	sector	NOUN
cana-1235	144	54	and	and	CCONJ
cana-1235	144	55	its	its	PRON
cana-1235	144	56	customers	customer	NOUN
cana-1235	144	57	.	.	PUNCT
cana-1235	145	1	address	address	VERB
cana-1235	145	2	this	this	DET
cana-1235	145	3	issue	issue	NOUN
cana-1235	145	4	helps	help	VERB
cana-1235	145	5	to	to	PART
cana-1235	145	6	build	build	VERB
cana-1235	145	7	a	a	DET
cana-1235	145	8	predictive	predictive	ADJ
cana-1235	145	9	system	system	NOUN
cana-1235	145	10	based	base	VERB
cana-1235	145	11	on	on	ADP
cana-1235	145	12	bidirectional	bidirectional	ADJ
cana-1235	145	13	long	long	ADJ
cana-1235	145	14	shortterm	shortterm	PROPN
cana-1235	145	15	memory	memory	NOUN
cana-1235	145	16	(	(	PUNCT
cana-1235	145	17	bilstm	bilstm	NOUN
cana-1235	145	18	)	)	PUNCT
cana-1235	145	19	using	use	VERB
cana-1235	145	20	historical	historical	ADJ
cana-1235	145	21	flight	flight	NOUN
cana-1235	145	22	data	datum	NOUN
cana-1235	145	23	.	.	PUNCT
cana-1235	146	1	to	to	PART
cana-1235	146	2	predict	predict	VERB
cana-1235	146	3	flight	flight	NOUN
cana-1235	146	4	delay	delay	NOUN
cana-1235	146	5	achieved	achieve	VERB
cana-1235	146	6	by	by	ADP
cana-1235	146	7	using	use	VERB
cana-1235	146	8	bilstm	bilstm	NOUN
cana-1235	147	1	and	and	CCONJ
cana-1235	147	2	it	it	PRON
cana-1235	147	3	's	be	AUX
cana-1235	147	4	related	relate	VERB
cana-1235	147	5	to	to	ADP
cana-1235	147	6	the	the	DET
cana-1235	147	7	machine	machine	NOUN
cana-1235	147	8	learning	learn	VERB
cana-1235	147	9	techniques	technique	NOUN
cana-1235	147	10	.	.	PUNCT
cana-1235	148	1	through	through	ADP
cana-1235	148	2	the	the	DET
cana-1235	148	3	analysis	analysis	NOUN
cana-1235	148	4	of	of	ADP
cana-1235	148	5	historical	historical	ADJ
cana-1235	148	6	data	datum	NOUN
cana-1235	148	7	and	and	CCONJ
cana-1235	148	8	various	various	ADJ
cana-1235	148	9	factors	factor	NOUN
cana-1235	148	10	pertinent	pertinent	ADJ
cana-1235	148	11	to	to	ADP
cana-1235	148	12	the	the	DET
cana-1235	148	13	aviation	aviation	NOUN
cana-1235	148	14	industry	industry	NOUN
cana-1235	148	15	,	,	PUNCT
cana-1235	148	16	our	our	PRON
cana-1235	148	17	model	model	NOUN
cana-1235	148	18	demonstrated	demonstrate	VERB
cana-1235	148	19	effectiveness	effectiveness	NOUN
cana-1235	148	20	in	in	ADP
cana-1235	148	21	learning	learn	VERB
cana-1235	148	22	intricate	intricate	ADJ
cana-1235	148	23	patterns	pattern	NOUN
cana-1235	148	24	and	and	CCONJ
cana-1235	148	25	making	make	VERB
cana-1235	148	26	precise	precise	ADJ
cana-1235	148	27	predictions	prediction	NOUN
cana-1235	148	28	.	.	PUNCT
cana-1235	149	1	by	by	ADP
cana-1235	149	2	integrating	integrate	VERB
cana-1235	149	3	multiple	multiple	ADJ
cana-1235	149	4	parameters	parameter	NOUN
cana-1235	149	5	such	such	ADJ
cana-1235	149	6	as	as	ADP
cana-1235	149	7	airport	airport	NOUN
cana-1235	149	8	congestion	congestion	NOUN
cana-1235	149	9	,	,	PUNCT
cana-1235	149	10	carrier	carrier	NOUN
cana-1235	149	11	information	information	NOUN
cana-1235	149	12	,	,	PUNCT
cana-1235	149	13	and	and	CCONJ
cana-1235	149	14	weather	weather	NOUN
cana-1235	149	15	conditions	condition	NOUN
cana-1235	149	16	,	,	PUNCT
cana-1235	149	17	we	we	PRON
cana-1235	149	18	achieved	achieve	VERB
cana-1235	149	19	accurate	accurate	ADJ
cana-1235	149	20	predictions	prediction	NOUN
cana-1235	149	21	of	of	ADP
cana-1235	149	22	flight	flight	NOUN
cana-1235	149	23	delays	delay	NOUN
cana-1235	149	24	.	.	PUNCT
cana-1235	150	1	recurrent	recurrent	ADJ
cana-1235	150	2	neural	neural	ADJ
cana-1235	150	3	networks	network	NOUN
cana-1235	150	4	(	(	PUNCT
cana-1235	150	5	rnns	rnns	PROPN
cana-1235	150	6	)	)	PUNCT
cana-1235	150	7	,	,	PUNCT
cana-1235	150	8	specifically	specifically	ADV
cana-1235	150	9	lstms	lstms	ADJ
cana-1235	150	10	,	,	PUNCT
cana-1235	150	11	were	be	AUX
cana-1235	150	12	utilized	utilize	VERB
cana-1235	150	13	to	to	PART
cana-1235	150	14	process	process	VERB
cana-1235	150	15	sequential	sequential	ADJ
cana-1235	150	16	data	datum	NOUN
cana-1235	150	17	,	,	PUNCT
cana-1235	150	18	crucial	crucial	ADJ
cana-1235	150	19	in	in	ADP
cana-1235	150	20	capturing	capture	VERB
cana-1235	150	21	temporal	temporal	ADJ
cana-1235	150	22	dependencies	dependency	NOUN
cana-1235	150	23	inherent	inherent	ADJ
cana-1235	150	24	in	in	ADP
cana-1235	150	25	-	-	PUNCT
cana-1235	150	26	flight	flight	NOUN
cana-1235	150	27	delays	delay	NOUN
cana-1235	150	28	.	.	PUNCT
cana-1235	151	1	the	the	DET
cana-1235	151	2	bilstm	bilstm	NOUN
cana-1235	151	3	architecture	architecture	NOUN
cana-1235	151	4	enabled	enable	VERB
cana-1235	151	5	flight	flight	NOUN
cana-1235	151	6	delay	delay	NOUN
cana-1235	151	7	system	system	NOUN
cana-1235	151	8	to	to	PART
cana-1235	151	9	incorporate	incorporate	VERB
cana-1235	151	10	both	both	PRON
cana-1235	151	11	past	past	ADJ
cana-1235	151	12	and	and	CCONJ
cana-1235	151	13	future	future	ADJ
cana-1235	151	14	information	information	NOUN
cana-1235	151	15	,	,	PUNCT
cana-1235	151	16	thereby	thereby	ADV
cana-1235	151	17	enhancing	enhance	VERB
cana-1235	151	18	its	its	PRON
cana-1235	151	19	predictive	predictive	ADJ
cana-1235	151	20	capabilities	capability	NOUN
cana-1235	151	21	.	.	PUNCT
cana-1235	152	1	upon	upon	SCONJ
cana-1235	152	2	reading	read	VERB
cana-1235	152	3	flight	flight	NOUN
cana-1235	152	4	data	datum	NOUN
cana-1235	152	5	from	from	ADP
cana-1235	152	6	historical	historical	ADJ
cana-1235	152	7	datasets	dataset	NOUN
cana-1235	152	8	,	,	PUNCT
cana-1235	152	9	our	our	PRON
cana-1235	152	10	system	system	NOUN
cana-1235	152	11	underwent	undergo	VERB
cana-1235	152	12	a	a	DET
cana-1235	152	13	data	data	NOUN
cana-1235	152	14	cleaning	cleaning	NOUN
cana-1235	152	15	phase	phase	NOUN
cana-1235	152	16	to	to	PART
cana-1235	152	17	filter	filter	VERB
cana-1235	152	18	out	out	ADP
cana-1235	152	19	canceled	cancel	VERB
cana-1235	152	20	flights	flight	NOUN
cana-1235	152	21	.	.	PUNCT
cana-1235	153	1	we	we	PRON
cana-1235	153	2	then	then	ADV
cana-1235	153	3	normalized	normalize	VERB
cana-1235	153	4	various	various	ADJ
cana-1235	153	5	delay	delay	NOUN
cana-1235	153	6	metrics	metric	NOUN
cana-1235	153	7	by	by	ADP
cana-1235	153	8	the	the	DET
cana-1235	153	9	total	total	ADJ
cana-1235	153	10	number	number	NOUN
cana-1235	153	11	of	of	ADP
cana-1235	153	12	arriving	arrive	VERB
cana-1235	153	13	flights	flight	NOUN
cana-1235	153	14	to	to	PART
cana-1235	153	15	ensure	ensure	VERB
cana-1235	153	16	standardization	standardization	NOUN
cana-1235	153	17	.	.	PUNCT
cana-1235	154	1	subsequently	subsequently	ADV
cana-1235	154	2	,	,	PUNCT
cana-1235	154	3	after	after	ADP
cana-1235	154	4	preprocessing	preprocessing	NOUN
cana-1235	154	5	and	and	CCONJ
cana-1235	154	6	normalization	normalization	NOUN
cana-1235	154	7	,	,	PUNCT
cana-1235	154	8	plotted	plot	VERB
cana-1235	154	9	different	different	ADJ
cana-1235	154	10	types	type	NOUN
cana-1235	154	11	of	of	ADP
cana-1235	154	12	delays	delay	NOUN
cana-1235	154	13	against	against	ADP
cana-1235	154	14	time	time	NOUN
cana-1235	154	15	for	for	ADP
cana-1235	154	16	further	further	ADJ
cana-1235	154	17	analysis	analysis	NOUN
cana-1235	154	18	dedicates	dedicate	VERB
cana-1235	154	19	in	in	ADP
cana-1235	154	20	the	the	DET
cana-1235	154	21	figure	figure	NOUN
cana-1235	154	22	3	3	NUM
cana-1235	154	23	.	.	PUNCT
cana-1235	154	24	communications	communication	NOUN
cana-1235	154	25	on	on	ADP
cana-1235	154	26	applied	apply	VERB
cana-1235	154	27	nonlinear	nonlinear	ADJ
cana-1235	154	28	analysis	analysis	NOUN
cana-1235	154	29	issn	issn	NOUN
cana-1235	154	30	:	:	PUNCT
cana-1235	154	31	1074	1074	NUM
cana-1235	154	32	-	-	PUNCT
cana-1235	154	33	133x	133x	NUM
cana-1235	154	34	vol	vol	NOUN
cana-1235	154	35	31	31	NUM
cana-1235	154	36	no	no	NOUN
cana-1235	154	37	.	.	PUNCT
cana-1235	155	1	6s	6s	NUM
cana-1235	155	2	(	(	PUNCT
cana-1235	155	3	2024	2024	NUM
cana-1235	155	4	)	)	PUNCT
cana-1235	155	5	448	448	NUM
cana-1235	156	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1235	156	2	figure	figure	NOUN
cana-1235	156	3	3	3	NUM
cana-1235	156	4	:	:	PUNCT
cana-1235	156	5	different	different	ADJ
cana-1235	156	6	types	type	NOUN
cana-1235	156	7	of	of	ADP
cana-1235	156	8	flight	flight	NOUN
cana-1235	156	9	delay	delay	NOUN
cana-1235	156	10	timings	timing	NOUN
cana-1235	156	11	the	the	DET
cana-1235	156	12	dataset	dataset	VERB
cana-1235	156	13	underwent	underwent	NOUN
cana-1235	156	14	preprocessing	preprocessing	NOUN
cana-1235	156	15	,	,	PUNCT
cana-1235	156	16	which	which	PRON
cana-1235	156	17	involved	involve	VERB
cana-1235	156	18	filtering	filter	VERB
cana-1235	156	19	out	out	ADP
cana-1235	156	20	canceled	cancel	VERB
cana-1235	156	21	flights	flight	NOUN
cana-1235	156	22	as	as	ADP
cana-1235	156	23	a	a	DET
cana-1235	156	24	primary	primary	ADJ
cana-1235	156	25	step	step	NOUN
cana-1235	156	26	.	.	PUNCT
cana-1235	157	1	this	this	DET
cana-1235	157	2	preprocessing	preprocessing	NOUN
cana-1235	157	3	step	step	NOUN
cana-1235	157	4	aimed	aim	VERB
cana-1235	157	5	to	to	PART
cana-1235	157	6	enhance	enhance	VERB
cana-1235	157	7	the	the	DET
cana-1235	157	8	robustness	robustness	NOUN
cana-1235	157	9	of	of	ADP
cana-1235	157	10	predictions	prediction	NOUN
cana-1235	157	11	across	across	ADP
cana-1235	157	12	diverse	diverse	ADJ
cana-1235	157	13	scenarios	scenario	NOUN
cana-1235	157	14	.	.	PUNCT
cana-1235	158	1	following	follow	VERB
cana-1235	158	2	this	this	PRON
cana-1235	158	3	,	,	PUNCT
cana-1235	158	4	the	the	DET
cana-1235	158	5	dataset	dataset	NOUN
cana-1235	158	6	was	be	AUX
cana-1235	158	7	divided	divide	VERB
cana-1235	158	8	into	into	ADP
cana-1235	158	9	training	training	NOUN
cana-1235	158	10	and	and	CCONJ
cana-1235	158	11	testing	testing	NOUN
cana-1235	158	12	subsets	subset	NOUN
cana-1235	158	13	,	,	PUNCT
cana-1235	158	14	with	with	ADP
cana-1235	158	15	a	a	DET
cana-1235	158	16	significant	significant	ADJ
cana-1235	158	17	portion	portion	NOUN
cana-1235	158	18	reserved	reserve	VERB
cana-1235	158	19	for	for	ADP
cana-1235	158	20	testing	testing	NOUN
cana-1235	158	21	purposes	purpose	NOUN
cana-1235	158	22	.	.	PUNCT
cana-1235	159	1	to	to	PART
cana-1235	159	2	mitigate	mitigate	VERB
cana-1235	159	3	overfitting	overfitting	NOUN
cana-1235	159	4	during	during	ADP
cana-1235	159	5	the	the	DET
cana-1235	159	6	training	training	NOUN
cana-1235	159	7	phase	phase	NOUN
cana-1235	159	8	,	,	PUNCT
cana-1235	159	9	an	an	DET
cana-1235	159	10	early	early	ADJ
cana-1235	159	11	stopping	stopping	NOUN
cana-1235	159	12	method	method	NOUN
cana-1235	159	13	was	be	AUX
cana-1235	159	14	employed	employ	VERB
cana-1235	159	15	.	.	PUNCT
cana-1235	160	1	training	train	VERB
cana-1235	160	2	the	the	DET
cana-1235	160	3	dataset	dataset	NOUN
cana-1235	160	4	involved	involve	VERB
cana-1235	160	5	200	200	NUM
cana-1235	160	6	epochs	epoch	NOUN
cana-1235	160	7	utilizing	utilize	VERB
cana-1235	160	8	the	the	DET
cana-1235	160	9	adam	adam	PROPN
cana-1235	160	10	optimizer	optimizer	NOUN
cana-1235	160	11	and	and	CCONJ
cana-1235	160	12	binary	binary	PROPN
cana-1235	160	13	cross	cross	NOUN
cana-1235	160	14	-	-	ADJ
cana-1235	160	15	entropy	entropy	ADJ
cana-1235	160	16	loss	loss	NOUN
cana-1235	160	17	function	function	NOUN
cana-1235	160	18	.	.	PUNCT
cana-1235	161	1	the	the	DET
cana-1235	161	2	model	model	NOUN
cana-1235	161	3	's	's	PART
cana-1235	161	4	performance	performance	NOUN
cana-1235	161	5	was	be	AUX
cana-1235	161	6	evaluated	evaluate	VERB
cana-1235	161	7	using	use	VERB
cana-1235	161	8	various	various	ADJ
cana-1235	161	9	metrics	metric	NOUN
cana-1235	161	10	,	,	PUNCT
cana-1235	161	11	including	include	VERB
cana-1235	161	12	loss	loss	NOUN
cana-1235	161	13	and	and	CCONJ
cana-1235	161	14	accuracy	accuracy	NOUN
cana-1235	161	15	depicts	depict	NOUN
cana-1235	161	16	figure	figure	NOUN
cana-1235	161	17	4	4	NUM
cana-1235	161	18	&	&	CCONJ
cana-1235	161	19	5	5	NUM
cana-1235	161	20	.	.	PUNCT
cana-1235	161	21	figure	figure	VERB
cana-1235	161	22	4	4	NUM
cana-1235	161	23	:	:	PUNCT
cana-1235	161	24	different	different	ADJ
cana-1235	161	25	types	type	NOUN
cana-1235	161	26	of	of	ADP
cana-1235	161	27	flight	flight	NOUN
cana-1235	161	28	delay	delay	NOUN
cana-1235	161	29	timings	timing	NOUN
cana-1235	161	30	the	the	DET
cana-1235	161	31	loss	loss	NOUN
cana-1235	161	32	curve	curve	NOUN
cana-1235	161	33	serves	serve	VERB
cana-1235	161	34	as	as	ADP
cana-1235	161	35	an	an	DET
cana-1235	161	36	indicator	indicator	NOUN
cana-1235	161	37	of	of	ADP
cana-1235	161	38	the	the	DET
cana-1235	161	39	system	system	NOUN
cana-1235	161	40	's	's	PART
cana-1235	161	41	proficiency	proficiency	NOUN
cana-1235	161	42	in	in	ADP
cana-1235	161	43	accurately	accurately	ADV
cana-1235	161	44	categorizing	categorize	VERB
cana-1235	161	45	flight	flight	NOUN
cana-1235	161	46	delays	delay	NOUN
cana-1235	161	47	.	.	PUNCT
cana-1235	162	1	to	to	PART
cana-1235	162	2	evaluate	evaluate	VERB
cana-1235	162	3	the	the	DET
cana-1235	162	4	model	model	NOUN
cana-1235	162	5	's	's	PART
cana-1235	162	6	ability	ability	NOUN
cana-1235	162	7	to	to	PART
cana-1235	162	8	generalize	generalize	VERB
cana-1235	162	9	,	,	PUNCT
cana-1235	162	10	both	both	DET
cana-1235	162	11	training	training	NOUN
cana-1235	162	12	and	and	CCONJ
cana-1235	162	13	validation	validation	NOUN
cana-1235	162	14	datasets	dataset	NOUN
cana-1235	162	15	were	be	AUX
cana-1235	162	16	utilized	utilize	VERB
cana-1235	162	17	.	.	PUNCT
cana-1235	163	1	upon	upon	SCONJ
cana-1235	163	2	reviewing	review	VERB
cana-1235	163	3	the	the	DET
cana-1235	163	4	outcomes	outcome	NOUN
cana-1235	163	5	,	,	PUNCT
cana-1235	163	6	we	we	PRON
cana-1235	163	7	noted	note	VERB
cana-1235	163	8	that	that	SCONJ
cana-1235	163	9	the	the	DET
cana-1235	163	10	algorithm	algorithm	NOUN
cana-1235	163	11	demonstrated	demonstrate	VERB
cana-1235	163	12	effectiveness	effectiveness	NOUN
cana-1235	163	13	in	in	ADP
cana-1235	163	14	predicting	predict	VERB
cana-1235	163	15	flight	flight	NOUN
cana-1235	163	16	delays	delay	NOUN
cana-1235	163	17	.	.	PUNCT
cana-1235	164	1	the	the	DET
cana-1235	164	2	gradual	gradual	ADJ
cana-1235	164	3	decrease	decrease	NOUN
cana-1235	164	4	in	in	ADP
cana-1235	164	5	loss	loss	NOUN
cana-1235	164	6	across	across	ADP
cana-1235	164	7	epochs	epoch	NOUN
cana-1235	164	8	suggests	suggest	VERB
cana-1235	164	9	successful	successful	ADJ
cana-1235	164	10	learning	learning	NOUN
cana-1235	164	11	.	.	PUNCT
cana-1235	165	1	communications	communication	NOUN
cana-1235	165	2	on	on	ADP
cana-1235	165	3	applied	apply	VERB
cana-1235	165	4	nonlinear	nonlinear	ADJ
cana-1235	165	5	analysis	analysis	NOUN
cana-1235	165	6	issn	issn	NOUN
cana-1235	165	7	:	:	PUNCT
cana-1235	165	8	1074	1074	NUM
cana-1235	165	9	-	-	PUNCT
cana-1235	165	10	133x	133x	NUM
cana-1235	165	11	vol	vol	NOUN
cana-1235	165	12	31	31	NUM
cana-1235	165	13	no	no	NOUN
cana-1235	165	14	.	.	PUNCT
cana-1235	166	1	6s	6s	NUM
cana-1235	166	2	(	(	PUNCT
cana-1235	166	3	2024	2024	NUM
cana-1235	166	4	)	)	PUNCT
cana-1235	166	5	449	449	NUM
cana-1235	166	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1235	166	7	figure	figure	NOUN
cana-1235	166	8	5	5	NUM
cana-1235	166	9	:	:	PUNCT
cana-1235	166	10	flight	flight	NOUN
cana-1235	166	11	delay	delay	NOUN
cana-1235	166	12	prediction	prediction	NOUN
cana-1235	166	13	system	system	NOUN
cana-1235	166	14	evaluated	evaluate	VERB
cana-1235	166	15	accuracy	accuracy	NOUN
cana-1235	166	16	using	use	VERB
cana-1235	166	17	various	various	ADJ
cana-1235	166	18	metrics	metric	NOUN
cana-1235	166	19	likewise	likewise	ADV
cana-1235	166	20	,	,	PUNCT
cana-1235	166	21	the	the	DET
cana-1235	166	22	accuracy	accuracy	NOUN
cana-1235	166	23	curve	curve	NOUN
cana-1235	166	24	exhibited	exhibit	VERB
cana-1235	166	25	a	a	DET
cana-1235	166	26	steady	steady	ADJ
cana-1235	166	27	rise	rise	NOUN
cana-1235	166	28	,	,	PUNCT
cana-1235	166	29	signifying	signify	VERB
cana-1235	166	30	the	the	DET
cana-1235	166	31	system	system	NOUN
cana-1235	166	32	's	's	PART
cana-1235	166	33	adeptness	adeptness	NOUN
cana-1235	166	34	in	in	ADP
cana-1235	166	35	classifying	classify	VERB
cana-1235	166	36	flight	flight	NOUN
cana-1235	166	37	delays	delay	NOUN
cana-1235	166	38	.	.	PUNCT
cana-1235	167	1	notably	notably	ADV
cana-1235	167	2	,	,	PUNCT
cana-1235	167	3	the	the	DET
cana-1235	167	4	accuracy	accuracy	NOUN
cana-1235	167	5	curve	curve	NOUN
cana-1235	167	6	displayed	display	VERB
cana-1235	167	7	a	a	DET
cana-1235	167	8	continuous	continuous	ADJ
cana-1235	167	9	ascent	ascent	NOUN
cana-1235	167	10	,	,	PUNCT
cana-1235	167	11	peaking	peak	VERB
cana-1235	167	12	at	at	ADP
cana-1235	167	13	the	the	DET
cana-1235	167	14	150th	150th	ADJ
cana-1235	167	15	epoch	epoch	NOUN
cana-1235	167	16	for	for	ADP
cana-1235	167	17	both	both	PRON
cana-1235	167	18	training	training	NOUN
cana-1235	167	19	and	and	CCONJ
cana-1235	167	20	validation	validation	NOUN
cana-1235	167	21	datasets	dataset	NOUN
cana-1235	167	22	.	.	PUNCT
cana-1235	168	1	the	the	DET
cana-1235	168	2	final	final	ADJ
cana-1235	168	3	accuracy	accuracy	NOUN
cana-1235	168	4	attained	attain	VERB
cana-1235	168	5	by	by	ADP
cana-1235	168	6	the	the	DET
cana-1235	168	7	system	system	NOUN
cana-1235	168	8	on	on	ADP
cana-1235	168	9	the	the	DET
cana-1235	168	10	validation	validation	NOUN
cana-1235	168	11	set	set	NOUN
cana-1235	168	12	stood	stand	VERB
cana-1235	168	13	at	at	ADP
cana-1235	168	14	85	85	NUM
cana-1235	168	15	%	%	NOUN
cana-1235	168	16	,	,	PUNCT
cana-1235	168	17	denoting	denote	VERB
cana-1235	168	18	that	that	SCONJ
cana-1235	168	19	the	the	DET
cana-1235	168	20	model	model	NOUN
cana-1235	168	21	accurately	accurately	ADV
cana-1235	168	22	classified	classify	VERB
cana-1235	168	23	85	85	NUM
cana-1235	168	24	%	%	NOUN
cana-1235	168	25	of	of	ADP
cana-1235	168	26	the	the	DET
cana-1235	168	27	flights	flight	NOUN
cana-1235	168	28	in	in	ADP
cana-1235	168	29	the	the	DET
cana-1235	168	30	test	test	NOUN
cana-1235	168	31	dataset	dataset	NOUN
cana-1235	168	32	.	.	PUNCT
cana-1235	169	1	5	5	X
cana-1235	169	2	.	.	X
cana-1235	169	3	conclusion	conclusion	NOUN
cana-1235	169	4	as	as	SCONJ
cana-1235	169	5	the	the	DET
cana-1235	169	6	air	air	NOUN
cana-1235	169	7	transport	transport	NOUN
cana-1235	169	8	industry	industry	NOUN
cana-1235	169	9	experiences	experience	VERB
cana-1235	169	10	rapid	rapid	ADJ
cana-1235	169	11	growth	growth	NOUN
cana-1235	169	12	,	,	PUNCT
cana-1235	169	13	the	the	DET
cana-1235	169	14	demand	demand	NOUN
cana-1235	169	15	for	for	ADP
cana-1235	169	16	travel	travel	NOUN
cana-1235	169	17	,	,	PUNCT
cana-1235	169	18	coupled	couple	VERB
cana-1235	169	19	with	with	ADP
cana-1235	169	20	the	the	DET
cana-1235	169	21	limited	limited	ADJ
cana-1235	169	22	capacity	capacity	NOUN
cana-1235	169	23	of	of	ADP
cana-1235	169	24	airports	airport	NOUN
cana-1235	169	25	and	and	CCONJ
cana-1235	169	26	increasing	increase	VERB
cana-1235	169	27	aviation	aviation	NOUN
cana-1235	169	28	traffic	traffic	NOUN
cana-1235	169	29	,	,	PUNCT
cana-1235	169	30	has	have	AUX
cana-1235	169	31	amplified	amplify	VERB
cana-1235	169	32	the	the	DET
cana-1235	169	33	impact	impact	NOUN
cana-1235	169	34	of	of	ADP
cana-1235	169	35	flight	flight	NOUN
cana-1235	169	36	delays	delay	NOUN
cana-1235	169	37	on	on	ADP
cana-1235	169	38	both	both	PRON
cana-1235	169	39	air	air	NOUN
cana-1235	169	40	transport	transport	NOUN
cana-1235	169	41	efficiency	efficiency	NOUN
cana-1235	169	42	and	and	CCONJ
cana-1235	169	43	passenger	passenger	NOUN
cana-1235	169	44	experiences	experience	NOUN
cana-1235	169	45	.	.	PUNCT
cana-1235	170	1	predicting	predict	VERB
cana-1235	170	2	flight	flight	NOUN
cana-1235	170	3	delays	delay	NOUN
cana-1235	170	4	plays	play	VERB
cana-1235	170	5	a	a	DET
cana-1235	170	6	pivotal	pivotal	ADJ
cana-1235	170	7	role	role	NOUN
cana-1235	170	8	in	in	ADP
cana-1235	170	9	aiding	aid	VERB
cana-1235	170	10	decision	decision	NOUN
cana-1235	170	11	-	-	PUNCT
cana-1235	170	12	making	making	NOUN
cana-1235	170	13	for	for	ADP
cana-1235	170	14	airline	airline	NOUN
cana-1235	170	15	systems	system	NOUN
cana-1235	170	16	and	and	CCONJ
cana-1235	170	17	improving	improve	VERB
cana-1235	170	18	the	the	DET
cana-1235	170	19	overall	overall	ADJ
cana-1235	170	20	travel	travel	NOUN
cana-1235	170	21	experience	experience	NOUN
cana-1235	170	22	.	.	PUNCT
cana-1235	171	1	in	in	ADP
cana-1235	171	2	this	this	DET
cana-1235	171	3	regard	regard	NOUN
cana-1235	171	4	,	,	PUNCT
cana-1235	171	5	we	we	PRON
cana-1235	171	6	have	have	AUX
cana-1235	171	7	developed	develop	VERB
cana-1235	171	8	a	a	DET
cana-1235	171	9	flight	flight	NOUN
cana-1235	171	10	delay	delay	NOUN
cana-1235	171	11	prediction	prediction	NOUN
cana-1235	171	12	model	model	NOUN
cana-1235	171	13	leveraging	leverage	VERB
cana-1235	171	14	the	the	DET
cana-1235	171	15	bilstm	bilstm	NOUN
cana-1235	171	16	machine	machine	NOUN
cana-1235	171	17	learning	learning	NOUN
cana-1235	171	18	technique	technique	NOUN
cana-1235	171	19	,	,	PUNCT
cana-1235	171	20	considering	consider	VERB
cana-1235	171	21	a	a	DET
cana-1235	171	22	comprehensive	comprehensive	ADJ
cana-1235	171	23	range	range	NOUN
cana-1235	171	24	of	of	ADP
cana-1235	171	25	factors	factor	NOUN
cana-1235	171	26	influencing	influence	VERB
cana-1235	171	27	flight	flight	NOUN
cana-1235	171	28	delays	delay	NOUN
cana-1235	171	29	.	.	PUNCT
cana-1235	172	1	this	this	DET
cana-1235	172	2	model	model	NOUN
cana-1235	172	3	utilizes	utilize	VERB
cana-1235	172	4	the	the	DET
cana-1235	172	5	bilstm	bilstm	NOUN
cana-1235	172	6	architecture	architecture	NOUN
cana-1235	172	7	to	to	PART
cana-1235	172	8	accurately	accurately	ADV
cana-1235	172	9	predict	predict	VERB
cana-1235	172	10	delay	delay	NOUN
cana-1235	172	11	times	time	NOUN
cana-1235	172	12	by	by	ADP
cana-1235	172	13	accounting	account	VERB
cana-1235	172	14	for	for	ADP
cana-1235	172	15	spatio	spatio	PROPN
cana-1235	172	16	-	-	PUNCT
cana-1235	172	17	temporal	temporal	ADJ
cana-1235	172	18	dependencies	dependency	NOUN
cana-1235	172	19	within	within	ADP
cana-1235	172	20	the	the	DET
cana-1235	172	21	data	data	NOUN
cana-1235	172	22	.	.	PUNCT
cana-1235	173	1	through	through	ADP
cana-1235	173	2	the	the	DET
cana-1235	173	3	incorporation	incorporation	NOUN
cana-1235	173	4	of	of	ADP
cana-1235	173	5	batch	batch	NOUN
cana-1235	173	6	normalization	normalization	NOUN
cana-1235	173	7	and	and	CCONJ
cana-1235	173	8	dropout	dropout	NOUN
cana-1235	173	9	techniques	technique	NOUN
cana-1235	173	10	during	during	ADP
cana-1235	173	11	training	training	NOUN
cana-1235	173	12	,	,	PUNCT
cana-1235	173	13	the	the	DET
cana-1235	173	14	model	model	NOUN
cana-1235	173	15	effectively	effectively	ADV
cana-1235	173	16	captures	capture	VERB
cana-1235	173	17	sequential	sequential	ADJ
cana-1235	173	18	dependencies	dependency	NOUN
cana-1235	173	19	,	,	PUNCT
cana-1235	173	20	crucial	crucial	ADJ
cana-1235	173	21	for	for	ADP
cana-1235	173	22	precise	precise	ADJ
cana-1235	173	23	predictions	prediction	NOUN
cana-1235	173	24	.	.	PUNCT
cana-1235	174	1	the	the	DET
cana-1235	174	2	bilstm	bilstm	NOUN
cana-1235	174	3	,	,	PUNCT
cana-1235	174	4	a	a	DET
cana-1235	174	5	recurrent	recurrent	ADJ
cana-1235	174	6	neural	neural	ADJ
cana-1235	174	7	network	network	NOUN
cana-1235	174	8	,	,	PUNCT
cana-1235	174	9	excels	excel	VERB
cana-1235	174	10	in	in	ADP
cana-1235	174	11	learning	learn	VERB
cana-1235	174	12	dependencies	dependency	NOUN
cana-1235	174	13	within	within	ADP
cana-1235	174	14	sequential	sequential	ADJ
cana-1235	174	15	data	datum	NOUN
cana-1235	174	16	in	in	ADP
cana-1235	174	17	both	both	CCONJ
cana-1235	174	18	forward	forward	ADJ
cana-1235	174	19	and	and	CCONJ
cana-1235	174	20	backward	backward	ADJ
cana-1235	174	21	directions	direction	NOUN
cana-1235	174	22	.	.	PUNCT
cana-1235	175	1	this	this	DET
cana-1235	175	2	bidirectional	bidirectional	ADJ
cana-1235	175	3	approach	approach	NOUN
cana-1235	175	4	enables	enable	VERB
cana-1235	175	5	the	the	DET
cana-1235	175	6	system	system	NOUN
cana-1235	175	7	to	to	PART
cana-1235	175	8	glean	glean	VERB
cana-1235	175	9	insights	insight	NOUN
cana-1235	175	10	from	from	ADP
cana-1235	175	11	past	past	ADJ
cana-1235	175	12	and	and	CCONJ
cana-1235	175	13	future	future	ADJ
cana-1235	175	14	information	information	NOUN
cana-1235	175	15	,	,	PUNCT
cana-1235	175	16	thereby	thereby	ADV
cana-1235	175	17	enhancing	enhance	VERB
cana-1235	175	18	prediction	prediction	NOUN
cana-1235	175	19	tasks	task	NOUN
cana-1235	175	20	.	.	PUNCT
cana-1235	176	1	through	through	ADP
cana-1235	176	2	meticulous	meticulous	ADJ
cana-1235	176	3	parameter	parameter	NOUN
cana-1235	176	4	optimization	optimization	NOUN
cana-1235	176	5	,	,	PUNCT
cana-1235	176	6	flight	flight	NOUN
cana-1235	176	7	delay	delay	NOUN
cana-1235	176	8	system	system	NOUN
cana-1235	176	9	achieved	achieve	VERB
cana-1235	176	10	an	an	DET
cana-1235	176	11	accuracy	accuracy	NOUN
cana-1235	176	12	of	of	ADP
cana-1235	176	13	84.1	84.1	NUM
cana-1235	176	14	%	%	NOUN
cana-1235	176	15	,	,	PUNCT
cana-1235	176	16	underscoring	underscore	VERB
cana-1235	176	17	its	its	PRON
cana-1235	176	18	effectiveness	effectiveness	NOUN
cana-1235	176	19	in	in	ADP
cana-1235	176	20	accurately	accurately	ADV
cana-1235	176	21	predicting	predict	VERB
cana-1235	176	22	flight	flight	NOUN
cana-1235	176	23	delays	delay	NOUN
cana-1235	176	24	and	and	CCONJ
cana-1235	176	25	aiding	aid	VERB
cana-1235	176	26	decision	decision	NOUN
cana-1235	176	27	-	-	PUNCT
cana-1235	176	28	making	make	VERB
cana-1235	176	29	processes	process	NOUN
cana-1235	176	30	within	within	ADP
cana-1235	176	31	the	the	DET
cana-1235	176	32	aviation	aviation	NOUN
cana-1235	176	33	industry	industry	NOUN
cana-1235	176	34	.	.	PUNCT
cana-1235	177	1	references	reference	NOUN
cana-1235	177	2	[	[	X
cana-1235	177	3	1	1	NUM
cana-1235	177	4	]	]	PUNCT
cana-1235	177	5	j.	j.	PROPN
cana-1235	177	6	qu	qu	PROPN
cana-1235	177	7	,	,	PUNCT
cana-1235	177	8	m.	m.	PROPN
cana-1235	177	9	xiao	xiao	PROPN
cana-1235	177	10	,	,	PUNCT
cana-1235	177	11	l.	l.	PROPN
cana-1235	177	12	yang	yang	PROPN
cana-1235	177	13	,	,	PUNCT
cana-1235	177	14	and	and	CCONJ
cana-1235	177	15	w.	w.	PROPN
cana-1235	177	16	xie	xie	PROPN
cana-1235	177	17	,	,	PUNCT
cana-1235	177	18	‘	'	PUNCT
cana-1235	177	19	flight	flight	NOUN
cana-1235	177	20	delay	delay	NOUN
cana-1235	177	21	regression	regression	NOUN
cana-1235	177	22	prediction	prediction	NOUN
cana-1235	177	23	model	model	NOUN
cana-1235	177	24	based	base	VERB
cana-1235	177	25	on	on	ADP
cana-1235	177	26	att	att	PROPN
cana-1235	177	27	-	-	PUNCT
cana-1235	177	28	conv	conv	ADJ
cana-1235	177	29	-	-	PUNCT
cana-1235	177	30	lstm	lstm	NOUN
cana-1235	177	31	’	'	PUNCT
cana-1235	177	32	,	,	PUNCT
cana-1235	177	33	entropy	entropy	PROPN
cana-1235	177	34	,	,	PUNCT
cana-1235	177	35	vol	vol	NOUN
cana-1235	177	36	.	.	PROPN
cana-1235	177	37	25	25	NUM
cana-1235	177	38	,	,	PUNCT
cana-1235	177	39	no	no	INTJ
cana-1235	177	40	.	.	NOUN
cana-1235	177	41	5	5	NUM
cana-1235	177	42	,	,	PUNCT
cana-1235	177	43	2023	2023	NUM
cana-1235	177	44	[	[	X
cana-1235	177	45	2	2	NUM
cana-1235	177	46	]	]	PUNCT
cana-1235	177	47	z.	z.	PROPN
cana-1235	177	48	zhang	zhang	PROPN
cana-1235	177	49	,	,	PUNCT
cana-1235	177	50	m.	m.	NOUN
cana-1235	177	51	lyons	lyons	PROPN
cana-1235	177	52	,	,	PUNCT
cana-1235	177	53	m.	m.	NOUN
cana-1235	177	54	schuster	schuster	PROPN
cana-1235	177	55	and	and	CCONJ
cana-1235	177	56	s.	s.	PROPN
cana-1235	177	57	akamatsu	akamatsu	PROPN
cana-1235	177	58	,	,	PUNCT
cana-1235	177	59	comparison	comparison	NOUN
cana-1235	177	60	between	between	ADP
cana-1235	177	61	geometry	geometry	NOUN
cana-1235	177	62	based	base	VERB
cana-1235	177	63	and	and	CCONJ
cana-1235	177	64	gabor	gabor	NOUN
cana-1235	177	65	-	-	PUNCT
cana-1235	177	66	wavelets	wavelet	NOUN
cana-1235	177	67	-	-	PUNCT
cana-1235	177	68	based	base	VERB
cana-1235	177	69	facial	facial	ADJ
cana-1235	177	70	expression	expression	NOUN
cana-1235	177	71	recognition	recognition	NOUN
cana-1235	177	72	using	use	VERB
cana-1235	177	73	multi	multi	ADJ
cana-1235	177	74	-	-	ADJ
cana-1235	177	75	layer	layer	ADJ
cana-1235	177	76	perceptron	perceptron	PROPN
cana-1235	177	77	,	,	PUNCT
cana-1235	177	78	proc	proc	PROPN
cana-1235	177	79	.	.	PUNCT
cana-1235	178	1	ieee	ieee	PROPN
cana-1235	178	2	int	int	PROPN
cana-1235	178	3	.	.	PUNCT
cana-1235	179	1	conf	conf	PROPN
cana-1235	179	2	.	.	PUNCT
cana-1235	180	1	automatic	automatic	ADJ
cana-1235	180	2	face	face	NOUN
cana-1235	180	3	and	and	CCONJ
cana-1235	180	4	gesture	gesture	NOUN
cana-1235	180	5	recognition	recognition	NOUN
cana-1235	180	6	(	(	PUNCT
cana-1235	180	7	1998	1998	NUM
cana-1235	180	8	)	)	PUNCT
cana-1235	180	9	,	,	PUNCT
cana-1235	180	10	pp	pp	ADP
cana-1235	180	11	.	.	PUNCT
cana-1235	181	1	454–459	454–459	NUM
cana-1235	181	2	.	.	PUNCT
cana-1235	182	1	[	[	X
cana-1235	182	2	3	3	NUM
cana-1235	182	3	]	]	X
cana-1235	182	4	p.	p.	PROPN
cana-1235	182	5	ekman	ekman	PROPN
cana-1235	182	6	,	,	PUNCT
cana-1235	182	7	“	"	PUNCT
cana-1235	182	8	emotions	emotion	NOUN
cana-1235	182	9	revealed	reveal	VERB
cana-1235	182	10	:	:	PUNCT
cana-1235	182	11	recognizing	recognize	VERB
cana-1235	182	12	faces	face	NOUN
cana-1235	182	13	and	and	CCONJ
cana-1235	182	14	feelings	feeling	NOUN
cana-1235	182	15	to	to	PART
cana-1235	182	16	improve	improve	VERB
cana-1235	182	17	communication	communication	NOUN
cana-1235	182	18	and	and	CCONJ
cana-1235	182	19	emotional	emotional	ADJ
cana-1235	182	20	life	life	NOUN
cana-1235	182	21	,	,	PUNCT
cana-1235	182	22	”	"	PUNCT
cana-1235	182	23	holt	holt	PROPN
cana-1235	182	24	paperback	paperback	NOUN
cana-1235	182	25	,	,	PUNCT
cana-1235	182	26	vol	vol	NOUN
cana-1235	182	27	.	.	PROPN
cana-1235	182	28	128	128	NUM
cana-1235	182	29	,	,	PUNCT
cana-1235	182	30	no	no	INTJ
cana-1235	182	31	.	.	NOUN
cana-1235	182	32	8	8	NUM
cana-1235	182	33	,	,	PUNCT
cana-1235	182	34	pp	pp	ADJ
cana-1235	182	35	.	.	PUNCT
cana-1235	183	1	140–140	140–140	NUM
cana-1235	183	2	,	,	PUNCT
cana-1235	183	3	2003	2003	NUM
cana-1235	183	4	[	[	X
cana-1235	183	5	4	4	X
cana-1235	183	6	]	]	PUNCT
cana-1235	183	7	s.	s.	PROPN
cana-1235	183	8	dubuisson	dubuisson	PROPN
cana-1235	183	9	,	,	PUNCT
cana-1235	183	10	f.	f.	PROPN
cana-1235	183	11	davoine	davoine	PROPN
cana-1235	183	12	and	and	CCONJ
cana-1235	183	13	m.	m.	PROPN
cana-1235	183	14	masson	masson	PROPN
cana-1235	183	15	,	,	PUNCT
cana-1235	183	16	a	a	DET
cana-1235	183	17	solution	solution	NOUN
cana-1235	183	18	for	for	ADP
cana-1235	183	19	facial	facial	ADJ
cana-1235	183	20	expression	expression	NOUN
cana-1235	183	21	representation	representation	NOUN
cana-1235	183	22	and	and	CCONJ
cana-1235	183	23	recognition	recognition	NOUN
cana-1235	183	24	,	,	PUNCT
cana-1235	183	25	sign	sign	NOUN
cana-1235	183	26	.	.	PUNCT
cana-1235	183	27	process	process	NOUN
cana-1235	183	28	:	:	PUNCT
cana-1235	184	1	imag	imag	PROPN
cana-1235	184	2	.	.	PUNCT
cana-1235	185	1	commun	commun	PROPN
cana-1235	185	2	.	.	PUNCT
cana-1235	186	1	17	17	NUM
cana-1235	186	2	(	(	PUNCT
cana-1235	186	3	2002	2002	NUM
cana-1235	186	4	)	)	PUNCT
cana-1235	187	1	657–673	657–673	NUM
cana-1235	187	2	.	.	PUNCT
cana-1235	188	1	communications	communication	NOUN
cana-1235	188	2	on	on	ADP
cana-1235	188	3	applied	apply	VERB
cana-1235	188	4	nonlinear	nonlinear	ADJ
cana-1235	188	5	analysis	analysis	NOUN
cana-1235	188	6	issn	issn	NOUN
cana-1235	188	7	:	:	PUNCT
cana-1235	188	8	1074	1074	NUM
cana-1235	188	9	-	-	PUNCT
cana-1235	188	10	133x	133x	NUM
cana-1235	188	11	vol	vol	NOUN
cana-1235	188	12	31	31	NUM
cana-1235	188	13	no	no	NOUN
cana-1235	188	14	.	.	PUNCT
cana-1235	189	1	6s	6s	NUM
cana-1235	189	2	(	(	PUNCT
cana-1235	189	3	2024	2024	NUM
cana-1235	189	4	)	)	PUNCT
cana-1235	189	5	450	450	NUM
cana-1235	189	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1235	190	1	[	[	X
cana-1235	190	2	5	5	NUM
cana-1235	190	3	]	]	PUNCT
cana-1235	190	4	a.	a.	NOUN
cana-1235	190	5	fadaeddini	fadaeddini	PROPN
cana-1235	190	6	,	,	PUNCT
cana-1235	190	7	m.	m.	NOUN
cana-1235	190	8	eshghi	eshghi	PROPN
cana-1235	190	9	,	,	PUNCT
cana-1235	190	10	and	and	CCONJ
cana-1235	190	11	b.	b.	PROPN
cana-1235	190	12	majidi	majidi	PROPN
cana-1235	190	13	,	,	PUNCT
cana-1235	190	14	&	&	CCONJ
cana-1235	190	15	quot	quot	PROPN
cana-1235	190	16	;	;	PUNCT
cana-1235	190	17	a	a	DET
cana-1235	190	18	deep	deep	ADJ
cana-1235	190	19	residual	residual	ADJ
cana-1235	190	20	neural	neural	ADJ
cana-1235	190	21	network	network	NOUN
cana-1235	190	22	for	for	ADP
cana-1235	190	23	low	low	ADJ
cana-1235	190	24	altitude	altitude	NOUN
cana-1235	190	25	remote	remote	ADJ
cana-1235	190	26	sensing	sense	VERB
cana-1235	190	27	image	image	NOUN
cana-1235	190	28	classification	classification	NOUN
cana-1235	190	29	,	,	PUNCT
cana-1235	190	30	&	&	CCONJ
cana-1235	190	31	quot	quot	PROPN
cana-1235	190	32	;	;	PUNCT
cana-1235	190	33	in	in	ADP
cana-1235	190	34	2018	2018	NUM
cana-1235	190	35	6th	6th	ADJ
cana-1235	190	36	iranian	iranian	ADJ
cana-1235	190	37	joint	joint	ADJ
cana-1235	190	38	congress	congress	PROPN
cana-1235	190	39	on	on	ADP
cana-1235	190	40	fuzzy	fuzzy	ADJ
cana-1235	190	41	and	and	CCONJ
cana-1235	190	42	intelligent	intelligent	ADJ
cana-1235	190	43	systems	system	NOUN
cana-1235	190	44	(	(	PUNCT
cana-1235	190	45	cfis	cfis	PROPN
cana-1235	190	46	)	)	PUNCT
cana-1235	190	47	,	,	PUNCT
cana-1235	190	48	2018	2018	NUM
cana-1235	190	49	,	,	PUNCT
cana-1235	190	50	pp	pp	ADJ
cana-1235	190	51	.	.	PUNCT
cana-1235	191	1	43	43	NUM
cana-1235	191	2	-	-	SYM
cana-1235	191	3	46	46	NUM
cana-1235	191	4	.	.	PUNCT
cana-1235	192	1	[	[	X
cana-1235	192	2	6	6	NUM
cana-1235	192	3	]	]	X
cana-1235	192	4	h.	h.	NOUN
cana-1235	192	5	elaggoune	elaggoune	PROPN
cana-1235	192	6	,	,	PUNCT
cana-1235	192	7	m.	m.	NOUN
cana-1235	192	8	belahcene	belahcene	NOUN
cana-1235	192	9	,	,	PUNCT
cana-1235	192	10	and	and	CCONJ
cana-1235	192	11	s.	s.	PROPN
cana-1235	192	12	bourennane	bourennane	PROPN
cana-1235	192	13	,	,	PUNCT
cana-1235	192	14	“	"	PUNCT
cana-1235	192	15	hybrid	hybrid	ADJ
cana-1235	192	16	descriptor	descriptor	NOUN
cana-1235	192	17	and	and	CCONJ
cana-1235	192	18	optimized	optimize	VERB
cana-1235	192	19	cnn	cnn	PROPN
cana-1235	192	20	with	with	ADP
cana-1235	192	21	transfer	transfer	NOUN
cana-1235	192	22	learning	learn	VERB
cana-1235	192	23	for	for	ADP
cana-1235	192	24	face	face	NOUN
cana-1235	192	25	recognition	recognition	NOUN
cana-1235	192	26	,	,	PUNCT
cana-1235	192	27	”	"	PUNCT
cana-1235	192	28	multimedia	multimedia	NOUN
cana-1235	192	29	tools	tool	NOUN
cana-1235	192	30	and	and	CCONJ
cana-1235	192	31	applications	application	NOUN
cana-1235	192	32	,	,	PUNCT
cana-1235	192	33	vol	vol	NOUN
cana-1235	192	34	.	.	PROPN
cana-1235	192	35	81	81	NUM
cana-1235	192	36	,	,	PUNCT
cana-1235	192	37	no	no	INTJ
cana-1235	192	38	.	.	NOUN
cana-1235	192	39	7	7	NUM
cana-1235	192	40	,	,	PUNCT
cana-1235	192	41	pp	pp	ADJ
cana-1235	192	42	.	.	PUNCT
cana-1235	193	1	9403–9427	9403–9427	NUM
cana-1235	193	2	,	,	PUNCT
cana-1235	193	3	2022	2022	NUM
cana-1235	193	4	.	.	PUNCT
cana-1235	194	1	[	[	X
cana-1235	194	2	7	7	NUM
cana-1235	194	3	]	]	X
cana-1235	194	4	huang	huang	PROPN
cana-1235	194	5	,	,	PUNCT
cana-1235	194	6	xixian	xixian	PROPN
cana-1235	194	7	,	,	PUNCT
cana-1235	194	8	et	et	PROPN
cana-1235	194	9	al	al	PROPN
cana-1235	194	10	.	.	PUNCT
cana-1235	194	11	"	"	PUNCT
cana-1235	194	12	face	face	VERB
cana-1235	194	13	verification	verification	NOUN
cana-1235	194	14	based	base	VERB
cana-1235	194	15	on	on	ADP
cana-1235	194	16	deep	deep	ADJ
cana-1235	194	17	learning	learning	NOUN
cana-1235	194	18	for	for	ADP
cana-1235	194	19	person	person	NOUN
cana-1235	194	20	tracking	track	VERB
cana-1235	194	21	in	in	ADP
cana-1235	194	22	hazardous	hazardous	ADJ
cana-1235	194	23	goods	good	NOUN
cana-1235	194	24	factories	factory	NOUN
cana-1235	194	25	.	.	PUNCT
cana-1235	194	26	"	"	PUNCT
cana-1235	195	1	processes	process	VERB
cana-1235	195	2	10.2	10.2	NUM
cana-1235	195	3	(	(	PUNCT
cana-1235	195	4	2022	2022	NUM
cana-1235	195	5	):	):	PUNCT
cana-1235	195	6	380	380	NUM
cana-1235	195	7	.	.	PUNCT
cana-1235	196	1	[	[	X
cana-1235	196	2	8	8	NUM
cana-1235	196	3	]	]	SYM
cana-1235	196	4	qi	qi	PROPN
cana-1235	196	5	,	,	PUNCT
cana-1235	196	6	xiaobo	xiaobo	PROPN
cana-1235	196	7	,	,	PUNCT
cana-1235	196	8	chenxu	chenxu	PROPN
cana-1235	196	9	wu	wu	PROPN
cana-1235	196	10	,	,	PUNCT
cana-1235	196	11	ying	ying	PROPN
cana-1235	196	12	shi	shi	PROPN
cana-1235	196	13	,	,	PUNCT
cana-1235	196	14	hui	hui	PROPN
cana-1235	196	15	qi	qi	PROPN
cana-1235	196	16	,	,	PUNCT
cana-1235	196	17	kaige	kaige	PROPN
cana-1235	196	18	duan	duan	PROPN
cana-1235	196	19	,	,	PUNCT
cana-1235	196	20	and	and	CCONJ
cana-1235	196	21	xiaobin	xiaobin	PROPN
cana-1235	196	22	wang	wang	PROPN
cana-1235	196	23	.	.	PUNCT
cana-1235	197	1	"	"	PUNCT
cana-1235	197	2	a	a	DET
cana-1235	197	3	convolutional	convolutional	ADJ
cana-1235	197	4	neural	neural	ADJ
cana-1235	197	5	network	network	NOUN
cana-1235	197	6	face	face	NOUN
cana-1235	197	7	recognition	recognition	NOUN
cana-1235	197	8	method	method	NOUN
cana-1235	197	9	based	base	VERB
cana-1235	197	10	on	on	ADP
cana-1235	197	11	bilstm	bilstm	NOUN
cana-1235	197	12	and	and	CCONJ
cana-1235	197	13	attention	attention	NOUN
cana-1235	197	14	mechanism	mechanism	NOUN
cana-1235	197	15	.	.	PUNCT
cana-1235	197	16	"	"	PUNCT
cana-1235	198	1	computational	computational	ADJ
cana-1235	198	2	intelligence	intelligence	NOUN
cana-1235	198	3	and	and	CCONJ
cana-1235	198	4	neuroscience	neuroscience	NOUN
cana-1235	198	5	2023	2023	NUM
cana-1235	198	6	(	(	PUNCT
cana-1235	198	7	2023	2023	NUM
cana-1235	198	8	)	)	PUNCT
cana-1235	198	9	.	.	PUNCT
cana-1235	199	1	[	[	X
cana-1235	199	2	9	9	NUM
cana-1235	199	3	]	]	SYM
cana-1235	199	4	zhang	zhang	PROPN
cana-1235	199	5	,	,	PUNCT
cana-1235	199	6	zhanpeng	zhanpeng	PROPN
cana-1235	199	7	,	,	PUNCT
cana-1235	199	8	et	et	PROPN
cana-1235	199	9	al	al	PROPN
cana-1235	199	10	.	.	PUNCT
cana-1235	199	11	"	"	PUNCT
cana-1235	199	12	facial	facial	ADJ
cana-1235	199	13	landmark	landmark	NOUN
cana-1235	199	14	detection	detection	NOUN
cana-1235	199	15	by	by	ADP
cana-1235	199	16	deep	deep	ADJ
cana-1235	199	17	multi	multi	ADJ
cana-1235	199	18	-	-	NOUN
cana-1235	199	19	task	task	ADJ
cana-1235	199	20	learning	learning	NOUN
cana-1235	199	21	.	.	PUNCT
cana-1235	199	22	"	"	PUNCT
cana-1235	200	1	computer	computer	NOUN
cana-1235	200	2	vision	vision	NOUN
cana-1235	200	3	–	–	PUNCT
cana-1235	200	4	eccv	eccv	ADJ
cana-1235	200	5	2014	2014	NUM
cana-1235	200	6	:	:	PUNCT
cana-1235	200	7	13th	13th	ADJ
cana-1235	200	8	european	european	PROPN
cana-1235	200	9	conference	conference	PROPN
cana-1235	200	10	,	,	PUNCT
cana-1235	200	11	zurich	zurich	PROPN
cana-1235	200	12	,	,	PUNCT
cana-1235	200	13	switzerland	switzerland	PROPN
cana-1235	200	14	,	,	PUNCT
cana-1235	200	15	september	september	PROPN
cana-1235	200	16	6	6	NUM
cana-1235	200	17	-	-	SYM
cana-1235	200	18	12	12	NUM
cana-1235	200	19	,	,	PUNCT
cana-1235	200	20	2014	2014	NUM
cana-1235	200	21	,	,	PUNCT
cana-1235	200	22	proceedings	proceeding	NOUN
cana-1235	200	23	,	,	PUNCT
cana-1235	200	24	part	part	NOUN
cana-1235	200	25	vi	vi	PROPN
cana-1235	200	26	13	13	NUM
cana-1235	200	27	.	.	PUNCT
cana-1235	201	1	springer	springer	NOUN
cana-1235	201	2	international	international	ADJ
cana-1235	201	3	publishing	publishing	NOUN
cana-1235	201	4	,	,	PUNCT
cana-1235	201	5	2014	2014	NUM
cana-1235	201	6	.	.	PUNCT
cana-1235	202	1	[	[	X
cana-1235	202	2	10	10	NUM
cana-1235	202	3	]	]	X
cana-1235	202	4	jing	jing	ADJ
cana-1235	202	5	,	,	PUNCT
cana-1235	202	6	chi	chi	PROPN
cana-1235	202	7	,	,	PUNCT
cana-1235	202	8	zhang	zhang	PROPN
cana-1235	202	9	haopeng	haopeng	PROPN
cana-1235	202	10	,	,	PUNCT
cana-1235	202	11	chin	chin	PROPN
cana-1235	202	12	kim	kim	PROPN
cana-1235	202	13	on	on	ADP
cana-1235	202	14	,	,	PUNCT
cana-1235	202	15	ervin	ervin	PROPN
cana-1235	202	16	gubin	gubin	PROPN
cana-1235	202	17	moung	moung	PROPN
cana-1235	202	18	,	,	PUNCT
cana-1235	202	19	and	and	CCONJ
cana-1235	202	20	patricia	patricia	PROPN
cana-1235	202	21	anthony	anthony	PROPN
cana-1235	202	22	.	.	PUNCT
cana-1235	203	1	"	"	PUNCT
cana-1235	203	2	face	face	NOUN
cana-1235	203	3	recognition	recognition	NOUN
cana-1235	203	4	based	base	VERB
cana-1235	203	5	on	on	ADP
cana-1235	203	6	deep	deep	ADJ
cana-1235	203	7	convolutional	convolutional	ADJ
cana-1235	203	8	support	support	NOUN
cana-1235	203	9	vector	vector	NOUN
cana-1235	203	10	machine	machine	NOUN
cana-1235	203	11	with	with	ADP
cana-1235	203	12	bottleneck	bottleneck	NOUN
cana-1235	203	13	attention	attention	NOUN
cana-1235	203	14	.	.	PUNCT
cana-1235	203	15	"	"	PUNCT
cana-1235	204	1	iaeng	iaeng	PROPN
cana-1235	204	2	international	international	PROPN
cana-1235	204	3	journal	journal	PROPN
cana-1235	204	4	of	of	ADP
cana-1235	204	5	computer	computer	NOUN
cana-1235	204	6	science	science	NOUN
cana-1235	204	7	49	49	NUM
cana-1235	204	8	,	,	PUNCT
cana-1235	204	9	no	no	INTJ
cana-1235	204	10	.	.	NOUN
cana-1235	204	11	4	4	NUM
cana-1235	204	12	(	(	PUNCT
cana-1235	204	13	2022	2022	NUM
cana-1235	204	14	)	)	PUNCT
cana-1235	204	15	.	.	PUNCT
cana-1235	205	1	[	[	X
cana-1235	205	2	11	11	NUM
cana-1235	205	3	]	]	X
cana-1235	205	4	y.	y.	PROPN
cana-1235	205	5	guo	guo	PROPN
cana-1235	205	6	,	,	PUNCT
cana-1235	205	7	c.	c.	PROPN
cana-1235	205	8	xue	xue	PROPN
cana-1235	205	9	,	,	PUNCT
cana-1235	205	10	y.	y.	PROPN
cana-1235	205	11	wang	wang	PROPN
cana-1235	205	12	,	,	PUNCT
cana-1235	205	13	and	and	CCONJ
cana-1235	205	14	m.	m.	PROPN
cana-1235	205	15	yu	yu	PROPN
cana-1235	205	16	,	,	PUNCT
cana-1235	205	17	“	"	PUNCT
cana-1235	205	18	micro	micro	ADJ
cana-1235	205	19	-	-	NOUN
cana-1235	205	20	expression	expression	ADJ
cana-1235	205	21	recognition	recognition	NOUN
cana-1235	205	22	based	base	VERB
cana-1235	205	23	on	on	ADP
cana-1235	205	24	cbp	cbp	PROPN
cana-1235	205	25	-	-	PUNCT
cana-1235	205	26	top	top	ADJ
cana-1235	205	27	feature	feature	NOUN
cana-1235	205	28	with	with	ADP
cana-1235	205	29	elm	elm	PROPN
cana-1235	205	30	,	,	PUNCT
cana-1235	205	31	”	"	PUNCT
cana-1235	205	32	optik	optik	PROPN
cana-1235	205	33	-	-	PUNCT
cana-1235	205	34	int	int	NOUN
cana-1235	205	35	.	.	PUNCT
cana-1235	206	1	j.	j.	PROPN
cana-1235	206	2	light	light	PROPN
cana-1235	206	3	electron	electron	PROPN
cana-1235	206	4	opt	opt	PROPN
cana-1235	206	5	.	.	PUNCT
cana-1235	206	6	,	,	PUNCT
cana-1235	206	7	vol	vol	NOUN
cana-1235	206	8	.	.	PROPN
cana-1235	207	1	126	126	NUM
cana-1235	207	2	,	,	PUNCT
cana-1235	207	3	no	no	INTJ
cana-1235	207	4	.	.	NOUN
cana-1235	207	5	23	23	NUM
cana-1235	207	6	,	,	PUNCT
cana-1235	207	7	pp	pp	ADJ
cana-1235	207	8	.	.	PUNCT
cana-1235	208	1	4446–4451	4446–4451	NUM
cana-1235	208	2	,	,	PUNCT
cana-1235	208	3	2015	2015	NUM
cana-1235	208	4	.	.	PUNCT
cana-1235	209	1	[	[	X
cana-1235	209	2	12	12	NUM
cana-1235	209	3	]	]	X
cana-1235	209	4	burada	burada	PROPN
cana-1235	209	5	,	,	PUNCT
cana-1235	209	6	sreedhar	sreedhar	ADJ
cana-1235	209	7	,	,	PUNCT
cana-1235	209	8	manjunathswamy	manjunathswamy	NOUN
cana-1235	209	9	byranahalli	byranahalli	NOUN
cana-1235	209	10	eraiah	eraiah	PROPN
cana-1235	209	11	,	,	PUNCT
cana-1235	209	12	and	and	CCONJ
cana-1235	209	13	m.	m.	PROPN
cana-1235	209	14	sunil	sunil	PROPN
cana-1235	209	15	kumar	kumar	PROPN
cana-1235	209	16	.	.	PUNCT
cana-1235	210	1	"	"	PUNCT
cana-1235	210	2	optimal	optimal	ADJ
cana-1235	210	3	hybrid	hybrid	NOUN
cana-1235	210	4	classifier	classifier	NOUN
cana-1235	210	5	with	with	ADP
cana-1235	210	6	finetuned	finetune	VERB
cana-1235	210	7	hyper	hyper	ADJ
cana-1235	210	8	parameter	parameter	NOUN
cana-1235	210	9	and	and	CCONJ
cana-1235	210	10	improved	improve	VERB
cana-1235	210	11	fuzzy	fuzzy	ADJ
cana-1235	210	12	c	c	NOUN
cana-1235	210	13	means	mean	VERB
cana-1235	210	14	segmentation	segmentation	NOUN
cana-1235	210	15	:	:	PUNCT
cana-1235	210	16	skin	skin	NOUN
cana-1235	210	17	cancer	cancer	NOUN
cana-1235	210	18	detection	detection	NOUN
cana-1235	210	19	.	.	PUNCT
cana-1235	210	20	"	"	PUNCT
cana-1235	211	1	international	international	ADJ
cana-1235	211	2	journal	journal	NOUN
cana-1235	211	3	of	of	ADP
cana-1235	211	4	ad	ad	X
cana-1235	211	5	hoc	hoc	X
cana-1235	211	6	and	and	CCONJ
cana-1235	211	7	ubiquitous	ubiquitous	ADJ
cana-1235	211	8	computing	compute	VERB
cana-1235	211	9	45.1	45.1	NUM
cana-1235	211	10	(	(	PUNCT
cana-1235	211	11	2024	2024	NUM
cana-1235	211	12	):	):	PUNCT
cana-1235	211	13	52	52	NUM
cana-1235	211	14	-	-	SYM
cana-1235	211	15	64	64	NUM
cana-1235	211	16	.	.	PUNCT
cana-1235	212	1	[	[	X
cana-1235	212	2	13	13	NUM
cana-1235	212	3	]	]	X
cana-1235	212	4	godala	godala	NOUN
cana-1235	212	5	,	,	PUNCT
cana-1235	212	6	sravanthi	sravanthi	ADJ
cana-1235	212	7	,	,	PUNCT
cana-1235	212	8	and	and	CCONJ
cana-1235	212	9	m.	m.	PROPN
cana-1235	212	10	sunil	sunil	PROPN
cana-1235	212	11	kumar	kumar	PROPN
cana-1235	212	12	.	.	PUNCT
cana-1235	213	1	"	"	PUNCT
cana-1235	213	2	a	a	DET
cana-1235	213	3	weight	weight	NOUN
cana-1235	213	4	optimized	optimize	VERB
cana-1235	213	5	deep	deep	ADJ
cana-1235	213	6	learning	learning	NOUN
cana-1235	213	7	model	model	NOUN
cana-1235	213	8	for	for	ADP
cana-1235	213	9	cluster	cluster	NOUN
cana-1235	213	10	based	base	VERB
cana-1235	213	11	intrusion	intrusion	NOUN
cana-1235	213	12	detection	detection	NOUN
cana-1235	213	13	system	system	NOUN
cana-1235	213	14	.	.	PUNCT
cana-1235	213	15	"	"	PUNCT
cana-1235	214	1	optical	optical	ADJ
cana-1235	214	2	and	and	CCONJ
cana-1235	214	3	quantum	quantum	ADJ
cana-1235	214	4	electronics	electronic	NOUN
cana-1235	214	5	55.14	55.14	NUM
cana-1235	214	6	(	(	PUNCT
cana-1235	214	7	2023	2023	NUM
cana-1235	214	8	):	):	PUNCT
cana-1235	214	9	1224	1224	NUM
cana-1235	214	10	.	.	PUNCT
cana-1235	215	1	[	[	X
cana-1235	215	2	14	14	NUM
cana-1235	215	3	]	]	X
cana-1235	215	4	sangamithra	sangamithra	PROPN
cana-1235	215	5	,	,	PUNCT
cana-1235	215	6	b.	b.	PROPN
cana-1235	215	7	,	,	PUNCT
cana-1235	215	8	be	be	AUX
cana-1235	215	9	manjunath	manjunath	PROPN
cana-1235	215	10	swamy	swamy	PROPN
cana-1235	215	11	,	,	PUNCT
cana-1235	215	12	and	and	CCONJ
cana-1235	215	13	m.	m.	PROPN
cana-1235	215	14	sunil	sunil	PROPN
cana-1235	215	15	kumar	kumar	PROPN
cana-1235	215	16	.	.	PUNCT
cana-1235	216	1	"	"	PUNCT
cana-1235	216	2	evaluating	evaluate	VERB
cana-1235	216	3	the	the	DET
cana-1235	216	4	effectiveness	effectiveness	NOUN
cana-1235	216	5	of	of	ADP
cana-1235	216	6	rnn	rnn	NOUN
cana-1235	216	7	and	and	CCONJ
cana-1235	216	8	its	its	PRON
cana-1235	216	9	variants	variant	NOUN
cana-1235	216	10	for	for	ADP
cana-1235	216	11	personalized	personalized	ADJ
cana-1235	216	12	web	web	NOUN
cana-1235	216	13	search	search	NOUN
cana-1235	216	14	.	.	PUNCT
cana-1235	216	15	"	"	PUNCT
cana-1235	217	1	optical	optical	ADJ
cana-1235	217	2	and	and	CCONJ
cana-1235	217	3	quantum	quantum	ADJ
cana-1235	217	4	electronics	electronic	NOUN
cana-1235	217	5	55.13	55.13	NUM
cana-1235	217	6	(	(	PUNCT
cana-1235	217	7	2023	2023	NUM
cana-1235	217	8	):	):	PUNCT
cana-1235	217	9	1202	1202	NUM
cana-1235	217	10	.	.	PUNCT
cana-1235	218	1	[	[	X
cana-1235	218	2	15	15	NUM
cana-1235	218	3	]	]	X
cana-1235	218	4	rafee	rafee	NOUN
cana-1235	218	5	,	,	PUNCT
cana-1235	218	6	s.	s.	PROPN
cana-1235	218	7	m.	m.	PROPN
cana-1235	218	8	,	,	PUNCT
cana-1235	218	9	prasad	prasad	PROPN
cana-1235	218	10	,	,	PUNCT
cana-1235	218	11	m.	m.	NOUN
cana-1235	218	12	,	,	PUNCT
cana-1235	218	13	kumar	kumar	PROPN
cana-1235	218	14	,	,	PUNCT
cana-1235	218	15	m.	m.	NOUN
cana-1235	218	16	s.	s.	PROPN
cana-1235	218	17	,	,	PUNCT
cana-1235	218	18	&	&	CCONJ
cana-1235	218	19	easwaran	easwaran	PROPN
cana-1235	218	20	,	,	PUNCT
cana-1235	218	21	b.	b.	PROPN
cana-1235	218	22	(	(	PUNCT
cana-1235	218	23	2023	2023	NUM
cana-1235	218	24	)	)	PUNCT
cana-1235	218	25	.	.	PUNCT
cana-1235	219	1	2	2	NUM
cana-1235	219	2	ai	ai	PROPN
cana-1235	219	3	technologies	technology	NOUN
cana-1235	219	4	,	,	PUNCT
cana-1235	219	5	tools	tool	NOUN
cana-1235	219	6	,	,	PUNCT
cana-1235	219	7	and	and	CCONJ
cana-1235	219	8	industrial	industrial	ADJ
cana-1235	219	9	use	use	NOUN
cana-1235	219	10	cases	case	NOUN
cana-1235	219	11	.	.	PUNCT
cana-1235	220	1	toward	toward	ADP
cana-1235	220	2	artificial	artificial	ADJ
cana-1235	220	3	general	general	ADJ
cana-1235	220	4	intelligence	intelligence	NOUN
cana-1235	220	5	:	:	PUNCT
cana-1235	220	6	deep	deep	ADJ
cana-1235	220	7	learning	learning	NOUN
cana-1235	220	8	,	,	PUNCT
cana-1235	220	9	neural	neural	ADJ
cana-1235	220	10	networks	network	NOUN
cana-1235	220	11	,	,	PUNCT
cana-1235	220	12	generative	generative	ADJ
cana-1235	220	13	ai	ai	NOUN
cana-1235	220	14	,	,	PUNCT
cana-1235	220	15	21	21	NUM
cana-1235	220	16	.	.	PUNCT
cana-1235	221	1	[	[	X
cana-1235	221	2	16	16	NUM
cana-1235	221	3	]	]	SYM
cana-1235	221	4	ebrahimpour	ebrahimpour	PROPN
cana-1235	221	5	,	,	PUNCT
cana-1235	221	6	hossein	hossein	PROPN
cana-1235	221	7	,	,	PUNCT
cana-1235	221	8	and	and	CCONJ
cana-1235	221	9	abbas	abbas	PROPN
cana-1235	221	10	kouzani	kouzani	PROPN
cana-1235	221	11	.	.	PUNCT
cana-1235	222	1	"	"	PUNCT
cana-1235	222	2	face	face	VERB
cana-1235	222	3	recognition	recognition	NOUN
cana-1235	222	4	using	use	VERB
cana-1235	222	5	bagging	bag	VERB
cana-1235	222	6	knn	knn	PROPN
cana-1235	222	7	.	.	PUNCT
cana-1235	222	8	"	"	PUNCT
cana-1235	223	1	in	in	ADP
cana-1235	223	2	international	international	ADJ
cana-1235	223	3	conference	conference	NOUN
cana-1235	223	4	on	on	ADP
cana-1235	223	5	signal	signal	ADJ
cana-1235	223	6	processing	processing	NOUN
cana-1235	223	7	and	and	CCONJ
cana-1235	223	8	communication	communication	NOUN
cana-1235	223	9	systems	system	NOUN
cana-1235	223	10	(	(	PUNCT
cana-1235	223	11	icspcs’2007	icspcs’2007	PROPN
cana-1235	223	12	)	)	PUNCT
cana-1235	223	13	australia	australia	PROPN
cana-1235	223	14	,	,	PUNCT
cana-1235	223	15	gold	gold	NOUN
cana-1235	223	16	coast	coast	NOUN
cana-1235	223	17	,	,	PUNCT
cana-1235	223	18	pp	pp	ADP
cana-1235	223	19	.	.	PUNCT
cana-1235	223	20	17	17	NUM
cana-1235	223	21	-	-	SYM
cana-1235	223	22	19	19	NUM
cana-1235	223	23	.	.	PUNCT
cana-1235	223	24	sn	sn	PROPN
cana-1235	223	25	,	,	PUNCT
cana-1235	223	26	2007	2007	NUM
cana-1235	223	27	.	.	PUNCT
cana-1235	224	1	[	[	X
cana-1235	224	2	17	17	NUM
cana-1235	224	3	]	]	X
cana-1235	224	4	liliana	liliana	PROPN
cana-1235	224	5	,	,	PUNCT
cana-1235	224	6	d.	d.	PROPN
cana-1235	224	7	,	,	PUNCT
cana-1235	224	8	t.	t.	PROPN
cana-1235	224	9	basaruddin	basaruddin	PROPN
cana-1235	224	10	,	,	PUNCT
cana-1235	224	11	and	and	CCONJ
cana-1235	224	12	m.	m.	NOUN
cana-1235	224	13	widyanto	widyanto	NOUN
cana-1235	224	14	.	.	PUNCT
cana-1235	225	1	"	"	PUNCT
cana-1235	225	2	mixed	mixed	ADJ
cana-1235	225	3	facial	facial	ADJ
cana-1235	225	4	emotion	emotion	NOUN
cana-1235	225	5	recognition	recognition	NOUN
cana-1235	225	6	using	use	VERB
cana-1235	225	7	active	active	ADJ
cana-1235	225	8	appearance	appearance	NOUN
cana-1235	225	9	model	model	NOUN
cana-1235	225	10	and	and	CCONJ
cana-1235	225	11	hidden	hide	VERB
cana-1235	225	12	conditional	conditional	ADJ
cana-1235	225	13	random	random	ADJ
cana-1235	225	14	fields	field	NOUN
cana-1235	225	15	.	.	PUNCT
cana-1235	225	16	"	"	PUNCT
cana-1235	226	1	international	international	ADJ
cana-1235	226	2	journal	journal	NOUN
cana-1235	226	3	of	of	ADP
cana-1235	226	4	pure	pure	ADJ
cana-1235	226	5	and	and	CCONJ
cana-1235	226	6	applied	applied	ADJ
cana-1235	226	7	mathematics	mathematic	NOUN
cana-1235	226	8	,	,	PUNCT
cana-1235	226	9	col	col	X
cana-1235	226	10	118	118	NUM
cana-1235	226	11	(	(	PUNCT
cana-1235	226	12	2018	2018	NUM
cana-1235	226	13	):	):	PUNCT
cana-1235	226	14	31593167	31593167	NUM
cana-1235	226	15	.	.	PUNCT
cana-1235	227	1	[	[	X
cana-1235	227	2	18	18	NUM
cana-1235	227	3	]	]	X
cana-1235	227	4	chen	chen	PROPN
cana-1235	227	5	x	x	PROPN
cana-1235	227	6	,	,	PUNCT
cana-1235	227	7	yang	yang	PROPN
cana-1235	227	8	h	h	PROPN
cana-1235	227	9	,	,	PUNCT
cana-1235	227	10	zhang	zhang	PROPN
cana-1235	227	11	x	x	PROPN
cana-1235	227	12	,	,	PUNCT
cana-1235	227	13	zheng	zheng	PROPN
cana-1235	227	14	x	x	PROPN
cana-1235	227	15	,	,	PUNCT
cana-1235	227	16	li	li	PROPN
cana-1235	227	17	w.	w.	PROPN
cana-1235	227	18	deep	deep	PROPN
cana-1235	227	19	spatio	spatio	PROPN
cana-1235	227	20	-	-	PUNCT
cana-1235	227	21	temporal	temporal	ADJ
cana-1235	227	22	decision	decision	NOUN
cana-1235	227	23	fusion	fusion	NOUN
cana-1235	227	24	network	network	NOUN
cana-1235	227	25	for	for	ADP
cana-1235	227	26	facial	facial	ADJ
cana-1235	227	27	expression	expression	NOUN
cana-1235	227	28	recognition	recognition	NOUN
cana-1235	227	29	.	.	PUNCT
cana-1235	228	1	ininternational	ininternational	ADJ
cana-1235	228	2	conference	conference	NOUN
cana-1235	228	3	on	on	ADP
cana-1235	228	4	machine	machine	NOUN
cana-1235	228	5	learning	learn	VERB
cana-1235	228	6	for	for	ADP
cana-1235	228	7	cyber	cyber	ADJ
cana-1235	228	8	security	security	NOUN
cana-1235	228	9	2023	2023	NUM
cana-1235	228	10	(	(	PUNCT
cana-1235	228	11	pp	pp	ADJ
cana-1235	228	12	.	.	PUNCT
cana-1235	229	1	106	106	NUM
cana-1235	229	2	-	-	SYM
cana-1235	229	3	120	120	NUM
cana-1235	229	4	)	)	PUNCT
cana-1235	229	5	.	.	PUNCT
cana-1235	230	1	springer	springer	NOUN
cana-1235	230	2	,	,	PUNCT
cana-1235	230	3	cham	cham	PROPN
cana-1235	230	4	.	.	PUNCT
cana-1235	231	1	[	[	X
cana-1235	231	2	19	19	NUM
cana-1235	231	3	]	]	PUNCT
cana-1235	231	4	febrian	febrian	NOUN
cana-1235	231	5	,	,	PUNCT
cana-1235	231	6	rio	rio	PROPN
cana-1235	231	7	,	,	PUNCT
cana-1235	231	8	et	et	PROPN
cana-1235	231	9	al	al	PROPN
cana-1235	231	10	.	.	PUNCT
cana-1235	231	11	"	"	PUNCT
cana-1235	231	12	facial	facial	ADJ
cana-1235	231	13	expression	expression	NOUN
cana-1235	231	14	recognition	recognition	NOUN
cana-1235	231	15	using	use	VERB
cana-1235	231	16	bidirectional	bidirectional	ADJ
cana-1235	231	17	lstm	lstm	PROPN
cana-1235	231	18	-	-	PUNCT
cana-1235	231	19	cnn	cnn	PROPN
cana-1235	231	20	.	.	PUNCT
cana-1235	231	21	"	"	PUNCT
cana-1235	232	1	procedia	procedia	NOUN
cana-1235	232	2	computer	computer	NOUN
cana-1235	232	3	science	science	NOUN
cana-1235	232	4	216	216	NUM
cana-1235	232	5	(	(	PUNCT
cana-1235	232	6	2023	2023	NUM
cana-1235	232	7	):	):	PUNCT
cana-1235	232	8	39	39	NUM
cana-1235	232	9	-	-	SYM
cana-1235	232	10	47	47	NUM
cana-1235	232	11	.	.	PUNCT
cana-1235	233	1	[	[	X
cana-1235	233	2	20	20	NUM
cana-1235	233	3	]	]	SYM
cana-1235	233	4	kumar	kumar	PROPN
cana-1235	233	5	,	,	PUNCT
cana-1235	233	6	m.s	m.s	PROPN
cana-1235	233	7	.	.	PROPN
cana-1235	233	8	,harsha	,harsha	PROPN
cana-1235	233	9	,	,	PUNCT
cana-1235	233	10	b.k	b.k	PROPN
cana-1235	233	11	.	.	PROPN
cana-1235	233	12	,jule	,jule	PUNCT
cana-1235	233	13	,	,	PUNCT
cana-1235	233	14	l.t	l.t	PROPN
cana-1235	233	15	.	.	PROPN
cana-1235	233	16	,"ai	,"ai	ADJ
cana-1235	233	17	-	-	PUNCT
cana-1235	233	18	driven	drive	VERB
cana-1235	233	19	cybersecurity	cybersecurity	NOUN
cana-1235	233	20	modeling	modeling	NOUN
cana-1235	233	21	using	use	VERB
cana-1235	233	22	quantum	quantum	NOUN
cana-1235	233	23	computing	computing	NOUN
cana-1235	233	24	for	for	ADP
cana-1235	233	25	mitigation	mitigation	NOUN
cana-1235	233	26	of	of	ADP
cana-1235	233	27	attacks	attack	NOUN
cana-1235	233	28	in	in	ADP
cana-1235	233	29	iot	iot	ADJ
cana-1235	233	30	-	-	PUNCT
cana-1235	233	31	sdn	sdn	NOUN
cana-1235	233	32	network",quantum	network",quantum	ADJ
cana-1235	233	33	-	-	PUNCT
cana-1235	233	34	safe	safe	ADJ
cana-1235	233	35	cryptography	cryptography	NOUN
cana-1235	233	36	algorithms	algorithm	NOUN
cana-1235	233	37	and	and	CCONJ
cana-1235	233	38	approaches	approach	NOUN
cana-1235	233	39	:	:	PUNCT
cana-1235	233	40	impacts	impact	NOUN
cana-1235	233	41	of	of	ADP
cana-1235	233	42	quantum	quantum	NOUN
cana-1235	233	43	computing	computing	NOUN
cana-1235	233	44	on	on	ADP
cana-1235	233	45	cybersecur	cybersecur	NOUN
cana-1235	233	46	,	,	PUNCT
cana-1235	233	47	2023	2023	NUM
cana-1235	233	48	,	,	PUNCT
cana-1235	233	49	pp	pp	ADJ
cana-1235	233	50	.	.	PUNCT
cana-1235	233	51	37–47	37–47	NUM
cana-1235	233	52	.	.	PUNCT
cana-1235	234	1	[	[	X
cana-1235	234	2	21	21	NUM
cana-1235	234	3	]	]	X
cana-1235	234	4	natarajan	natarajan	PROPN
cana-1235	234	5	,	,	PUNCT
cana-1235	234	6	v.	v.	PROPN
cana-1235	234	7	anantha	anantha	PROPN
cana-1235	234	8	,	,	PUNCT
cana-1235	234	9	et	et	PROPN
cana-1235	234	10	al	al	PROPN
cana-1235	234	11	.	.	PUNCT
cana-1235	235	1	"	"	PUNCT
cana-1235	235	2	segmentation	segmentation	NOUN
cana-1235	235	3	of	of	ADP
cana-1235	235	4	nuclei	nucleus	NOUN
cana-1235	235	5	in	in	ADP
cana-1235	235	6	histopathology	histopathology	NOUN
cana-1235	235	7	images	image	NOUN
cana-1235	235	8	using	use	VERB
cana-1235	235	9	fully	fully	ADV
cana-1235	235	10	convolutional	convolutional	ADJ
cana-1235	235	11	deep	deep	ADJ
cana-1235	235	12	neural	neural	ADJ
cana-1235	235	13	architecture	architecture	NOUN
cana-1235	235	14	.	.	PUNCT
cana-1235	235	15	"	"	PUNCT
cana-1235	236	1	2020	2020	NUM
cana-1235	236	2	international	international	ADJ
cana-1235	236	3	conference	conference	NOUN
cana-1235	236	4	on	on	ADP
cana-1235	236	5	computing	computing	NOUN
cana-1235	236	6	and	and	CCONJ
cana-1235	236	7	information	information	NOUN
cana-1235	236	8	technology	technology	NOUN
cana-1235	236	9	(	(	PUNCT
cana-1235	236	10	iccit-1441	iccit-1441	NOUN
cana-1235	236	11	)	)	PUNCT
cana-1235	236	12	.	.	PUNCT
cana-1235	237	1	ieee	ieee	PROPN
cana-1235	237	2	,	,	PUNCT
cana-1235	237	3	2020	2020	NUM
cana-1235	237	4	.	.	PUNCT
cana-1235	238	1	[	[	X
cana-1235	238	2	22	22	NUM
cana-1235	238	3	]	]	PUNCT
cana-1235	238	4	sreedhar	sreedhar	PROPN
cana-1235	238	5	,	,	PUNCT
cana-1235	238	6	b.	b.	PROPN
cana-1235	238	7	,	,	PUNCT
cana-1235	238	8	be	be	AUX
cana-1235	238	9	,	,	PUNCT
cana-1235	238	10	m.	m.	NOUN
cana-1235	238	11	s.	s.	PROPN
cana-1235	238	12	,	,	PUNCT
cana-1235	238	13	&	&	CCONJ
cana-1235	238	14	kumar	kumar	PROPN
cana-1235	238	15	,	,	PUNCT
cana-1235	238	16	m.	m.	NOUN
cana-1235	238	17	s.	s.	PROPN
cana-1235	238	18	(	(	PUNCT
cana-1235	238	19	2020	2020	NUM
cana-1235	238	20	,	,	PUNCT
cana-1235	238	21	october	october	PROPN
cana-1235	238	22	)	)	PUNCT
cana-1235	238	23	.	.	PUNCT
cana-1235	239	1	a	a	DET
cana-1235	239	2	comparative	comparative	ADJ
cana-1235	239	3	study	study	NOUN
cana-1235	239	4	of	of	ADP
cana-1235	239	5	melanoma	melanoma	NOUN
cana-1235	239	6	skin	skin	NOUN
cana-1235	239	7	cancer	cancer	NOUN
cana-1235	239	8	detection	detection	NOUN
cana-1235	239	9	in	in	ADP
cana-1235	239	10	traditional	traditional	ADJ
cana-1235	239	11	and	and	CCONJ
cana-1235	239	12	current	current	ADJ
cana-1235	239	13	image	image	NOUN
cana-1235	239	14	processing	processing	NOUN
cana-1235	239	15	techniques	technique	NOUN
cana-1235	239	16	.	.	PUNCT
cana-1235	240	1	in	in	ADP
cana-1235	240	2	2020	2020	NUM
cana-1235	240	3	fourth	fourth	ADJ
cana-1235	240	4	international	international	ADJ
cana-1235	240	5	conference	conference	NOUN
cana-1235	240	6	on	on	ADP
cana-1235	240	7	i	i	PROPN
cana-1235	240	8	-	-	PUNCT
cana-1235	240	9	smac	smac	PROPN
cana-1235	240	10	(	(	PUNCT
cana-1235	240	11	iot	iot	PROPN
cana-1235	240	12	in	in	ADP
cana-1235	240	13	social	social	ADJ
cana-1235	240	14	,	,	PUNCT
cana-1235	240	15	mobile	mobile	ADJ
cana-1235	240	16	,	,	PUNCT
cana-1235	240	17	analytics	analytic	NOUN
cana-1235	240	18	and	and	CCONJ
cana-1235	240	19	cloud)(i	cloud)(i	PROPN
cana-1235	240	20	-	-	PUNCT
cana-1235	240	21	smac	smac	PROPN
cana-1235	240	22	)	)	PUNCT
cana-1235	240	23	(	(	PUNCT
cana-1235	240	24	pp	pp	X
cana-1235	240	25	.	.	PUNCT
cana-1235	241	1	654	654	NUM
cana-1235	241	2	-	-	SYM
cana-1235	241	3	658	658	NUM
cana-1235	241	4	)	)	PUNCT
cana-1235	241	5	.	.	PUNCT
cana-1235	242	1	ieee	ieee	NOUN
cana-1235	242	2	.	.	PUNCT
cana-1235	243	1	[	[	X
cana-1235	243	2	23	23	NUM
cana-1235	243	3	]	]	X
cana-1235	243	4	ananthanatarajan	ananthanatarajan	PROPN
cana-1235	243	5	,	,	PUNCT
cana-1235	243	6	v.	v.	PROPN
cana-1235	243	7	,	,	PUNCT
cana-1235	243	8	kumar	kumar	PROPN
cana-1235	243	9	,	,	PUNCT
cana-1235	243	10	m.	m.	NOUN
cana-1235	243	11	s.	s.	PROPN
cana-1235	243	12	,	,	PUNCT
cana-1235	243	13	&	&	CCONJ
cana-1235	243	14	tamizhazhagan	tamizhazhagan	VERB
cana-1235	243	15	,	,	PUNCT
cana-1235	243	16	v.	v.	CCONJ
cana-1235	243	17	(	(	PUNCT
cana-1235	243	18	2020	2020	NUM
cana-1235	243	19	)	)	PUNCT
cana-1235	243	20	.	.	PUNCT
cana-1235	244	1	forecasting	forecasting	NOUN
cana-1235	244	2	of	of	ADP
cana-1235	244	3	wind	wind	NOUN
cana-1235	244	4	power	power	NOUN
cana-1235	244	5	using	use	VERB
cana-1235	244	6	lstm	lstm	ADJ
cana-1235	244	7	recurrent	recurrent	ADJ
cana-1235	244	8	neural	neural	ADJ
cana-1235	244	9	network	network	NOUN
cana-1235	244	10	.	.	PUNCT
cana-1235	245	1	journal	journal	PROPN
cana-1235	245	2	of	of	ADP
cana-1235	245	3	green	green	ADJ
cana-1235	245	4	engineering	engineering	NOUN
cana-1235	245	5	,	,	PUNCT
cana-1235	245	6	10	10	NUM
cana-1235	245	7	.	.	PUNCT
cana-1235	246	1	communications	communication	NOUN
cana-1235	246	2	on	on	ADP
cana-1235	246	3	applied	apply	VERB
cana-1235	246	4	nonlinear	nonlinear	ADJ
cana-1235	246	5	analysis	analysis	NOUN
cana-1235	246	6	issn	issn	NOUN
cana-1235	246	7	:	:	PUNCT
cana-1235	246	8	1074	1074	NUM
cana-1235	246	9	-	-	PUNCT
cana-1235	246	10	133x	133x	NUM
cana-1235	246	11	vol	vol	NOUN
cana-1235	246	12	31	31	NUM
cana-1235	246	13	no	no	NOUN
cana-1235	246	14	.	.	PUNCT
cana-1235	247	1	6s	6s	NUM
cana-1235	247	2	(	(	PUNCT
cana-1235	247	3	2024	2024	NUM
cana-1235	247	4	)	)	PUNCT
cana-1235	247	5	451	451	NUM
cana-1235	247	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1235	248	1	[	[	X
cana-1235	248	2	24	24	NUM
cana-1235	248	3	]	]	X
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cana-1235	248	12	s.	s.	PROPN
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cana-1235	248	14	2015	2015	NUM
cana-1235	248	15	)	)	PUNCT
cana-1235	248	16	.	.	PUNCT
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cana-1235	249	5	queries	query	VERB
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cana-1235	249	7	relational	relational	ADJ
cana-1235	249	8	databases	database	NOUN
cana-1235	249	9	.	.	PUNCT
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cana-1235	250	8	10(10	10(10	NUM
cana-1235	250	9	)	)	PUNCT
cana-1235	250	10	,	,	PUNCT
cana-1235	250	11	26629	26629	NUM
cana-1235	250	12	-	-	SYM
cana-1235	250	13	26640	26640	NUM
cana-1235	250	14	.	.	PUNCT
cana-1235	251	1	[	[	X
cana-1235	251	2	25	25	NUM
cana-1235	251	3	]	]	PUNCT
cana-1235	251	4	sivakumar	sivakumar	PROPN
cana-1235	251	5	depuru	depuru	PROPN
cana-1235	251	6	,	,	PUNCT
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cana-1235	251	17	k.	k.	PROPN
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cana-1235	251	25	recognition	recognition	NOUN
cana-1235	251	26	system	system	NOUN
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cana-1235	251	28	deep	deep	ADJ
cana-1235	251	29	learning	learning	NOUN
cana-1235	251	30	technique	technique	NOUN
cana-1235	251	31	”	"	PUNCT
cana-1235	251	32	,	,	PUNCT
cana-1235	251	33	journal	journal	NOUN
cana-1235	251	34	of	of	ADP
cana-1235	251	35	pharmaceutical	pharmaceutical	ADJ
cana-1235	251	36	negative	negative	ADJ
cana-1235	251	37	results	result	NOUN
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cana-1235	251	42	,	,	PUNCT
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cana-1235	251	45	4	4	NUM
cana-1235	251	46	,	,	PUNCT
cana-1235	251	47	pp	pp	ADJ
cana-1235	251	48	.	.	PUNCT
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cana-1235	253	2	26	26	NUM
cana-1235	253	3	]	]	X
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cana-1235	253	5	depuru	depuru	PROPN
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cana-1235	253	7	a.	a.	NOUN
cana-1235	253	8	nandam	nandam	PROPN
cana-1235	253	9	,	,	PUNCT
cana-1235	253	10	s.	s.	PROPN
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cana-1235	253	13	k.	k.	PROPN
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cana-1235	253	16	v.	v.	PROPN
cana-1235	253	17	akshaya	akshaya	PROPN
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cana-1235	253	19	m.	m.	NOUN
cana-1235	253	20	saktivel	saktivel	NOUN
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cana-1235	253	22	"	"	PUNCT
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cana-1235	253	26	based	base	VERB
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cana-1235	253	28	emotion	emotion	NOUN
cana-1235	253	29	recognition	recognition	NOUN
cana-1235	253	30	system	system	NOUN
cana-1235	253	31	:	:	PUNCT
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cana-1235	253	41	,	,	PUNCT
cana-1235	253	42	communication	communication	NOUN
cana-1235	253	43	and	and	CCONJ
cana-1235	253	44	robotics	robotic	NOUN
cana-1235	253	45	(	(	PUNCT
cana-1235	253	46	stcr	stcr	PROPN
cana-1235	253	47	)	)	PUNCT
cana-1235	253	48	,	,	PUNCT
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cana-1235	254	2	-	-	SYM
cana-1235	254	3	4	4	NUM
cana-1235	254	4	,	,	PUNCT
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cana-1235	255	4	s.	s.	PROPN
cana-1235	255	5	depuru	depuru	PROPN
cana-1235	255	6	,	,	PUNCT
cana-1235	255	7	k.	k.	PROPN
cana-1235	255	8	vaishnavi	vaishnavi	PROPN
cana-1235	255	9	,	,	PUNCT
cana-1235	255	10	b.	b.	PROPN
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cana-1235	255	12	,	,	PUNCT
cana-1235	255	13	k.	k.	PROPN
cana-1235	255	14	j.	j.	PROPN
cana-1235	255	15	sri	sri	PROPN
cana-1235	255	16	,	,	PUNCT
cana-1235	255	17	a.	a.	NOUN
cana-1235	255	18	preethi	preethi	ADV
cana-1235	255	19	and	and	CCONJ
cana-1235	255	20	c.	c.	PROPN
cana-1235	255	21	priyanka	priyanka	PROPN
cana-1235	255	22	,	,	PUNCT
cana-1235	255	23	"	"	PUNCT
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cana-1235	255	25	cnnlbp	cnnlbp	NOUN
cana-1235	255	26	using	use	VERB
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cana-1235	255	28	emotion	emotion	NOUN
cana-1235	255	29	recognition	recognition	NOUN
cana-1235	255	30	based	base	VERB
cana-1235	255	31	on	on	ADP
cana-1235	255	32	deep	deep	ADJ
cana-1235	255	33	learning	learning	NOUN
cana-1235	255	34	approach	approach	NOUN
cana-1235	255	35	,	,	PUNCT
cana-1235	255	36	"	"	PUNCT
cana-1235	255	37	2023	2023	NUM
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cana-1235	255	40	conference	conference	NOUN
cana-1235	255	41	on	on	ADP
cana-1235	255	42	artificial	artificial	ADJ
cana-1235	255	43	intelligence	intelligence	NOUN
cana-1235	255	44	and	and	CCONJ
cana-1235	255	45	smart	smart	ADJ
cana-1235	255	46	energy	energy	NOUN
cana-1235	255	47	(	(	PUNCT
cana-1235	255	48	icais	icais	PROPN
cana-1235	255	49	)	)	PUNCT
cana-1235	255	50	,	,	PUNCT
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cana-1235	255	52	,	,	PUNCT
cana-1235	255	53	india	india	PROPN
cana-1235	255	54	,	,	PUNCT
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cana-1235	255	56	,	,	PUNCT
cana-1235	255	57	pp	pp	ADJ
cana-1235	255	58	.	.	PUNCT
cana-1235	256	1	972	972	NUM
cana-1235	256	2	-	-	SYM
cana-1235	256	3	980	980	NUM
cana-1235	256	4	,	,	PUNCT
cana-1235	256	5	doi	doi	NOUN
cana-1235	256	6	:	:	PUNCT
cana-1235	256	7	10.1109	10.1109	NUM
cana-1235	256	8	/	/	SYM
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cana-1235	256	10	.	.	PUNCT
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cana-1235	257	3	]	]	X
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cana-1235	257	9	k.	k.	PROPN
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cana-1235	257	11	,	,	PUNCT
cana-1235	257	12	s.	s.	PROPN
cana-1235	257	13	dalal	dalal	PROPN
cana-1235	257	14	,	,	PUNCT
cana-1235	257	15	m.	m.	PROPN
cana-1235	257	16	n.	n.	PROPN
cana-1235	257	17	mathur	mathur	PROPN
cana-1235	257	18	,	,	PUNCT
cana-1235	257	19	m.	m.	NOUN
cana-1235	257	20	zakariah	zakariah	PROPN
cana-1235	257	21	,	,	PUNCT
cana-1235	257	22	and	and	CCONJ
cana-1235	257	23	b.	b.	PROPN
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cana-1235	257	25	,	,	PUNCT
cana-1235	257	26	“	"	PUNCT
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cana-1235	257	28	of	of	ADP
cana-1235	257	29	patient	patient	ADJ
cana-1235	257	30	facial	facial	ADJ
cana-1235	257	31	recognition	recognition	NOUN
cana-1235	257	32	through	through	ADP
cana-1235	257	33	deep	deep	ADJ
cana-1235	257	34	learning	learning	NOUN
cana-1235	257	35	algorithm	algorithm	NOUN
cana-1235	257	36	:	:	PUNCT
cana-1235	257	37	convnet	convnet	NOUN
cana-1235	257	38	,	,	PUNCT
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cana-1235	257	44	,	,	PUNCT
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cana-1235	257	47	2021	2021	NUM
cana-1235	257	48	,	,	PUNCT
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cana-1235	257	50	i	i	PROPN
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cana-1235	257	54	8	8	NUM
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cana-1235	257	56	,	,	PUNCT
cana-1235	257	57	202	202	NUM
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