id	sid	tid	token	lemma	pos
cana-1162	1	1	communications	communication	NOUN
cana-1162	1	2	on	on	ADP
cana-1162	1	3	applied	apply	VERB
cana-1162	1	4	nonlinear	nonlinear	ADJ
cana-1162	1	5	analysis	analysis	NOUN
cana-1162	1	6	issn	issn	NOUN
cana-1162	1	7	:	:	PUNCT
cana-1162	1	8	1074	1074	NUM
cana-1162	1	9	-	-	PUNCT
cana-1162	1	10	133x	133x	NUM
cana-1162	1	11	vol	vol	NOUN
cana-1162	1	12	31	31	NUM
cana-1162	1	13	no	no	NOUN
cana-1162	1	14	.	.	PUNCT
cana-1162	2	1	6s	6s	NUM
cana-1162	2	2	(	(	PUNCT
cana-1162	2	3	2024	2024	NUM
cana-1162	2	4	)	)	PUNCT
cana-1162	2	5	81	81	NUM
cana-1162	3	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1162	3	2	forecasting	forecast	VERB
cana-1162	3	3	short	short	ADJ
cana-1162	3	4	-	-	PUNCT
cana-1162	3	5	term	term	NOUN
cana-1162	3	6	wind	wind	NOUN
cana-1162	3	7	speed	speed	NOUN
cana-1162	3	8	using	use	VERB
cana-1162	3	9	arima	arima	NOUN
cana-1162	3	10	,	,	PUNCT
cana-1162	3	11	and	and	CCONJ
cana-1162	3	12	convolution	convolution	NOUN
cana-1162	3	13	neural	neural	ADJ
cana-1162	3	14	network	network	NOUN
cana-1162	3	15	models	model	NOUN
cana-1162	3	16	at	at	ADP
cana-1162	3	17	international	international	ADJ
cana-1162	3	18	airports	airport	NOUN
cana-1162	3	19	in	in	ADP
cana-1162	3	20	saudi	saudi	PROPN
cana-1162	3	21	arabia	arabia	PROPN
cana-1162	3	22	lamiaa	lamiaa	PROPN
cana-1162	3	23	abdul	abdul	PROPN
cana-1162	3	24	-	-	PUNCT
cana-1162	3	25	jabbar	jabbar	PROPN
cana-1162	3	26	dawod1	dawod1	PROPN
cana-1162	3	27	,	,	PUNCT
cana-1162	3	28	waleed	waleed	PROPN
cana-1162	3	29	ahmed	ahmed	PROPN
cana-1162	3	30	hassen	hassen	PROPN
cana-1162	3	31	al	al	PROPN
cana-1162	3	32	-	-	PUNCT
cana-1162	3	33	nuaami2	nuaami2	PROPN
cana-1162	3	34	*	*	PROPN
cana-1162	3	35	1middle	1middle	NUM
cana-1162	3	36	technical	technical	ADJ
cana-1162	3	37	university	university	NOUN
cana-1162	3	38	college	college	PROPN
cana-1162	3	39	of	of	ADP
cana-1162	3	40	health	health	PROPN
cana-1162	3	41	and	and	CCONJ
cana-1162	3	42	medical	medical	ADJ
cana-1162	3	43	techniques	technique	NOUN
cana-1162	3	44	/	/	SYM
cana-1162	3	45	baghdad	baghdad	PROPN
cana-1162	3	46	department	department	PROPN
cana-1162	3	47	of	of	ADP
cana-1162	3	48	optics	optic	NOUN
cana-1162	3	49	techniques	technique	NOUN
cana-1162	3	50	;	;	PUNCT
cana-1162	3	51	lamya.abd@mtu.edu.iq	lamya.abd@mtu.edu.iq	PROPN
cana-1162	3	52	2biology	2biology	PROPN
cana-1162	3	53	department	department	NOUN
cana-1162	3	54	,	,	PUNCT
cana-1162	3	55	collage	collage	NOUN
cana-1162	3	56	of	of	ADP
cana-1162	3	57	pure	pure	ADJ
cana-1162	3	58	science	science	NOUN
cana-1162	3	59	,	,	PUNCT
cana-1162	3	60	diyala	diyala	PROPN
cana-1162	3	61	university	university	PROPN
cana-1162	3	62	,	,	PUNCT
cana-1162	3	63	diyala	diyala	PROPN
cana-1162	3	64	,	,	PUNCT
cana-1162	3	65	iraq	iraq	PROPN
cana-1162	3	66	purecomp.waleed.hassan@uodiyala.edu.iq	purecomp.waleed.hassan@uodiyala.edu.iq	NOUN
cana-1162	3	67	*	*	NOUN
cana-1162	3	68	correspondence	correspondence	NOUN
cana-1162	3	69	:	:	PUNCT
cana-1162	3	70	purecomp.waleed.hassan@uodiyala.edu.iq	purecomp.waleed.hassan@uodiyala.edu.iq	ADJ
cana-1162	3	71	article	article	NOUN
cana-1162	3	72	history	history	NOUN
cana-1162	3	73	:	:	PUNCT
cana-1162	3	74	received	receive	VERB
cana-1162	3	75	:	:	PUNCT
cana-1162	3	76	20	20	NUM
cana-1162	3	77	-	-	SYM
cana-1162	3	78	05	05	NUM
cana-1162	3	79	-	-	PUNCT
cana-1162	3	80	2024	2024	NUM
cana-1162	3	81	revised	revise	VERB
cana-1162	3	82	:	:	PUNCT
cana-1162	3	83	25	25	NUM
cana-1162	3	84	-	-	PUNCT
cana-1162	3	85	06	06	NUM
cana-1162	3	86	-	-	PUNCT
cana-1162	3	87	2024	2024	NUM
cana-1162	3	88	accepted	accept	VERB
cana-1162	3	89	:	:	PUNCT
cana-1162	3	90	18	18	NUM
cana-1162	3	91	-	-	SYM
cana-1162	3	92	07	07	NUM
cana-1162	3	93	-	-	PUNCT
cana-1162	3	94	2024	2024	NUM
cana-1162	3	95	abstract	abstract	NOUN
cana-1162	3	96	:	:	PUNCT
cana-1162	3	97	this	this	DET
cana-1162	3	98	study	study	NOUN
cana-1162	3	99	aimed	aim	VERB
cana-1162	3	100	to	to	PART
cana-1162	3	101	predict	predict	VERB
cana-1162	3	102	the	the	DET
cana-1162	3	103	maximum	maximum	ADJ
cana-1162	3	104	wind	wind	NOUN
cana-1162	3	105	speed	speed	NOUN
cana-1162	3	106	(	(	PUNCT
cana-1162	3	107	mws	mws	NOUN
cana-1162	3	108	)	)	PUNCT
cana-1162	3	109	at	at	ADP
cana-1162	3	110	three	three	NUM
cana-1162	3	111	international	international	ADJ
cana-1162	3	112	airports	airport	NOUN
cana-1162	3	113	of	of	ADP
cana-1162	3	114	saudi	saudi	PROPN
cana-1162	3	115	arabia	arabia	PROPN
cana-1162	3	116	,	,	PUNCT
cana-1162	3	117	such	such	ADJ
cana-1162	3	118	as	as	ADP
cana-1162	3	119	king	king	PROPN
cana-1162	3	120	abdulaziz	abdulaziz	PROPN
cana-1162	3	121	international	international	PROPN
cana-1162	3	122	airport	airport	PROPN
cana-1162	3	123	(	(	PUNCT
cana-1162	3	124	kaia	kaia	PROPN
cana-1162	3	125	)	)	PUNCT
cana-1162	3	126	,	,	PUNCT
cana-1162	3	127	king	king	PROPN
cana-1162	3	128	fahd	fahd	PROPN
cana-1162	3	129	international	international	PROPN
cana-1162	3	130	airport	airport	PROPN
cana-1162	3	131	(	(	PUNCT
cana-1162	3	132	kfia	kfia	PROPN
cana-1162	3	133	)	)	PUNCT
cana-1162	3	134	,	,	PUNCT
cana-1162	3	135	and	and	CCONJ
cana-1162	3	136	king	king	PROPN
cana-1162	3	137	khalid	khalid	PROPN
cana-1162	3	138	international	international	PROPN
cana-1162	3	139	airport	airport	PROPN
cana-1162	3	140	(	(	PUNCT
cana-1162	3	141	kkia	kkia	PROPN
cana-1162	3	142	)	)	PUNCT
cana-1162	3	143	.	.	PUNCT
cana-1162	4	1	for	for	ADP
cana-1162	4	2	this	this	DET
cana-1162	4	3	end	end	NOUN
cana-1162	4	4	,	,	PUNCT
cana-1162	4	5	we	we	PRON
cana-1162	4	6	utilized	utilize	VERB
cana-1162	4	7	advanced	advanced	ADJ
cana-1162	4	8	machine	machine	NOUN
cana-1162	4	9	learning	learning	NOUN
cana-1162	4	10	(	(	PUNCT
cana-1162	4	11	ml	ml	NOUN
cana-1162	4	12	)	)	PUNCT
cana-1162	4	13	and	and	CCONJ
cana-1162	4	14	statistical	statistical	ADJ
cana-1162	4	15	techniques	technique	NOUN
cana-1162	4	16	,	,	PUNCT
cana-1162	4	17	including	include	VERB
cana-1162	4	18	artificial	artificial	ADJ
cana-1162	4	19	neural	neural	ADJ
cana-1162	4	20	network	network	NOUN
cana-1162	4	21	(	(	PUNCT
cana-1162	4	22	ann	ann	PROPN
cana-1162	4	23	)	)	PUNCT
cana-1162	4	24	,	,	PUNCT
cana-1162	4	25	convolution	convolution	NOUN
cana-1162	4	26	neural	neural	ADJ
cana-1162	4	27	network	network	NOUN
cana-1162	4	28	(	(	PUNCT
cana-1162	4	29	cnn	cnn	PROPN
cana-1162	4	30	)	)	PUNCT
cana-1162	4	31	,	,	PUNCT
cana-1162	4	32	and	and	CCONJ
cana-1162	4	33	autoregressive	autoregressive	ADJ
cana-1162	4	34	integrated	integrated	ADJ
cana-1162	4	35	moving	move	VERB
cana-1162	4	36	average	average	ADJ
cana-1162	4	37	(	(	PUNCT
cana-1162	4	38	arima	arima	NOUN
cana-1162	4	39	)	)	PUNCT
cana-1162	4	40	models	model	NOUN
cana-1162	4	41	,	,	PUNCT
cana-1162	4	42	and	and	CCONJ
cana-1162	4	43	the	the	DET
cana-1162	4	44	daily	daily	ADJ
cana-1162	4	45	maximum	maximum	ADJ
cana-1162	4	46	wind	wind	NOUN
cana-1162	4	47	speed	speed	NOUN
cana-1162	4	48	data	datum	NOUN
cana-1162	4	49	during	during	ADP
cana-1162	4	50	20212023	20212023	NUM
cana-1162	4	51	.	.	PUNCT
cana-1162	5	1	to	to	PART
cana-1162	5	2	develop	develop	VERB
cana-1162	5	3	the	the	DET
cana-1162	5	4	models	model	NOUN
cana-1162	5	5	,	,	PUNCT
cana-1162	5	6	we	we	PRON
cana-1162	5	7	effectively	effectively	ADV
cana-1162	5	8	employed	employ	VERB
cana-1162	5	9	the	the	DET
cana-1162	5	10	average	average	ADJ
cana-1162	5	11	mutual	mutual	ADJ
cana-1162	5	12	information	information	NOUN
cana-1162	5	13	(	(	PUNCT
cana-1162	5	14	ami	ami	NOUN
cana-1162	5	15	)	)	PUNCT
cana-1162	5	16	for	for	ADP
cana-1162	5	17	assessing	assess	VERB
cana-1162	5	18	the	the	DET
cana-1162	5	19	suitable	suitable	ADJ
cana-1162	5	20	input	input	NOUN
cana-1162	5	21	variables	variable	NOUN
cana-1162	5	22	to	to	PART
cana-1162	5	23	predict	predict	VERB
cana-1162	5	24	the	the	DET
cana-1162	5	25	maximum	maximum	ADJ
cana-1162	5	26	wind	wind	NOUN
cana-1162	5	27	speed	speed	NOUN
cana-1162	5	28	in	in	ADP
cana-1162	5	29	kkia	kkia	PROPN
cana-1162	5	30	,	,	PUNCT
cana-1162	5	31	kfia	kfia	PROPN
cana-1162	5	32	,	,	PUNCT
cana-1162	5	33	and	and	CCONJ
cana-1162	5	34	kaia	kaia	PROPN
cana-1162	5	35	.	.	PUNCT
cana-1162	6	1	the	the	DET
cana-1162	6	2	mws	mws	NOUN
cana-1162	6	3	forecasting	forecasting	NOUN
cana-1162	6	4	models	model	NOUN
cana-1162	6	5	of	of	ADP
cana-1162	6	6	three	three	NUM
cana-1162	6	7	airports	airport	NOUN
cana-1162	6	8	were	be	AUX
cana-1162	6	9	constructed	construct	VERB
cana-1162	6	10	using	use	VERB
cana-1162	6	11	the	the	DET
cana-1162	6	12	training	training	NOUN
cana-1162	6	13	subset	subset	NOUN
cana-1162	6	14	(	(	PUNCT
cana-1162	6	15	80	80	NUM
cana-1162	6	16	%	%	NOUN
cana-1162	6	17	,	,	PUNCT
cana-1162	6	18	spanning	span	VERB
cana-1162	6	19	from	from	ADP
cana-1162	6	20	2021	2021	NUM
cana-1162	6	21	to	to	ADP
cana-1162	6	22	2023	2023	NUM
cana-1162	6	23	may	may	AUX
cana-1162	6	24	)	)	PUNCT
cana-1162	6	25	and	and	CCONJ
cana-1162	6	26	testing	testing	NOUN
cana-1162	6	27	subset	subset	NOUN
cana-1162	6	28	(	(	PUNCT
cana-1162	6	29	20	20	NUM
cana-1162	6	30	%	%	NOUN
cana-1162	6	31	,	,	PUNCT
cana-1162	6	32	between	between	ADP
cana-1162	6	33	2023	2023	NUM
cana-1162	6	34	may	may	AUX
cana-1162	6	35	and	and	CCONJ
cana-1162	6	36	2023	2023	NUM
cana-1162	6	37	dec	dec	PROPN
cana-1162	6	38	)	)	PUNCT
cana-1162	6	39	.	.	PUNCT
cana-1162	7	1	the	the	DET
cana-1162	7	2	results	result	NOUN
cana-1162	7	3	showed	show	VERB
cana-1162	7	4	that	that	SCONJ
cana-1162	7	5	the	the	DET
cana-1162	7	6	accuracy	accuracy	NOUN
cana-1162	7	7	of	of	ADP
cana-1162	7	8	the	the	DET
cana-1162	7	9	findings	finding	NOUN
cana-1162	7	10	has	have	AUX
cana-1162	7	11	been	be	AUX
cana-1162	7	12	improved	improve	VERB
cana-1162	7	13	by	by	ADP
cana-1162	7	14	implementing	implement	VERB
cana-1162	7	15	the	the	DET
cana-1162	7	16	proposed	propose	VERB
cana-1162	7	17	cnn	cnn	PROPN
cana-1162	7	18	models	model	NOUN
cana-1162	7	19	.	.	PUNCT
cana-1162	8	1	compared	compare	VERB
cana-1162	8	2	to	to	ADP
cana-1162	8	3	the	the	DET
cana-1162	8	4	ann	ann	PROPN
cana-1162	8	5	,	,	PUNCT
cana-1162	8	6	and	and	CCONJ
cana-1162	8	7	arima	arima	PROPN
cana-1162	8	8	models	model	NOUN
cana-1162	8	9	,	,	PUNCT
cana-1162	8	10	the	the	DET
cana-1162	8	11	cnn	cnn	PROPN
cana-1162	8	12	algorithm	algorithm	NOUN
cana-1162	8	13	showed	show	VERB
cana-1162	8	14	its	its	PRON
cana-1162	8	15	remarkable	remarkable	ADJ
cana-1162	8	16	potential	potential	NOUN
cana-1162	8	17	as	as	ADP
cana-1162	8	18	a	a	DET
cana-1162	8	19	high	high	ADJ
cana-1162	8	20	-	-	PUNCT
cana-1162	8	21	level	level	NOUN
cana-1162	8	22	model	model	NOUN
cana-1162	8	23	in	in	ADP
cana-1162	8	24	accurately	accurately	ADV
cana-1162	8	25	estimating	estimate	VERB
cana-1162	8	26	kkia	kkia	NOUN
cana-1162	8	27	,	,	PUNCT
cana-1162	8	28	kfia	kfia	PROPN
cana-1162	8	29	,	,	PUNCT
cana-1162	8	30	and	and	CCONJ
cana-1162	8	31	kaia	kaia	PROPN
cana-1162	8	32	max	max	PROPN
cana-1162	8	33	wind	wind	NOUN
cana-1162	8	34	speed	speed	NOUN
cana-1162	8	35	values	value	NOUN
cana-1162	8	36	and	and	CCONJ
cana-1162	8	37	exhibiting	exhibit	VERB
cana-1162	8	38	superior	superior	ADJ
cana-1162	8	39	generalization	generalization	NOUN
cana-1162	8	40	capability	capability	NOUN
cana-1162	8	41	and	and	CCONJ
cana-1162	8	42	minimal	minimal	ADJ
cana-1162	8	43	variance	variance	NOUN
cana-1162	8	44	.	.	PUNCT
cana-1162	9	1	keywords	keyword	NOUN
cana-1162	9	2	:	:	PUNCT
cana-1162	9	3	convolution	convolution	NOUN
cana-1162	9	4	neural	neural	ADJ
cana-1162	9	5	network	network	NOUN
cana-1162	9	6	,	,	PUNCT
cana-1162	9	7	airport	airport	NOUN
cana-1162	9	8	wind	wind	NOUN
cana-1162	9	9	speed	speed	NOUN
cana-1162	9	10	,	,	PUNCT
cana-1162	9	11	forecasting	forecasting	NOUN
cana-1162	9	12	,	,	PUNCT
cana-1162	9	13	statistical	statistical	ADJ
cana-1162	9	14	model	model	NOUN
cana-1162	9	15	.	.	PUNCT
cana-1162	10	1	1	1	X
cana-1162	10	2	.	.	X
cana-1162	10	3	introduction	introduction	NOUN
cana-1162	10	4	the	the	DET
cana-1162	10	5	wind	wind	NOUN
cana-1162	10	6	is	be	AUX
cana-1162	10	7	vital	vital	ADJ
cana-1162	10	8	in	in	ADP
cana-1162	10	9	determining	determine	VERB
cana-1162	10	10	weather	weather	NOUN
cana-1162	10	11	conditions	condition	NOUN
cana-1162	10	12	within	within	ADP
cana-1162	10	13	the	the	DET
cana-1162	10	14	aviation	aviation	NOUN
cana-1162	10	15	sector	sector	NOUN
cana-1162	10	16	(	(	PUNCT
cana-1162	10	17	naskar	naskar	NOUN
cana-1162	10	18	et	et	PROPN
cana-1162	10	19	al	al	PROPN
cana-1162	10	20	.	.	PROPN
cana-1162	10	21	,	,	PUNCT
cana-1162	10	22	2023	2023	NUM
cana-1162	10	23	)	)	PUNCT
cana-1162	10	24	.	.	PUNCT
cana-1162	11	1	predicting	predict	VERB
cana-1162	11	2	wind	wind	NOUN
cana-1162	11	3	speed	speed	NOUN
cana-1162	11	4	accurately	accurately	ADV
cana-1162	11	5	is	be	AUX
cana-1162	11	6	challenging	challenge	VERB
cana-1162	11	7	due	due	ADJ
cana-1162	11	8	to	to	ADP
cana-1162	11	9	its	its	PRON
cana-1162	11	10	sporadic	sporadic	ADJ
cana-1162	11	11	and	and	CCONJ
cana-1162	11	12	unstable	unstable	ADJ
cana-1162	11	13	nature	nature	NOUN
cana-1162	11	14	.	.	PUNCT
cana-1162	12	1	the	the	DET
cana-1162	12	2	lack	lack	NOUN
cana-1162	12	3	of	of	ADP
cana-1162	12	4	sufficient	sufficient	ADJ
cana-1162	12	5	data	datum	NOUN
cana-1162	12	6	and	and	CCONJ
cana-1162	12	7	relevant	relevant	ADJ
cana-1162	12	8	research	research	NOUN
cana-1162	12	9	on	on	ADP
cana-1162	12	10	wind	wind	NOUN
cana-1162	12	11	speed	speed	NOUN
cana-1162	12	12	at	at	ADP
cana-1162	12	13	entebbe	entebbe	PROPN
cana-1162	12	14	international	international	PROPN
cana-1162	12	15	airport	airport	PROPN
cana-1162	12	16	is	be	AUX
cana-1162	12	17	an	an	DET
cana-1162	12	18	additional	additional	ADJ
cana-1162	12	19	obstacle	obstacle	NOUN
cana-1162	12	20	impeding	impede	VERB
cana-1162	12	21	the	the	DET
cana-1162	12	22	airport	airport	NOUN
cana-1162	12	23	's	's	PART
cana-1162	12	24	progress	progress	NOUN
cana-1162	12	25	toward	toward	ADP
cana-1162	12	26	sustainable	sustainable	ADJ
cana-1162	12	27	development	development	NOUN
cana-1162	12	28	(	(	PUNCT
cana-1162	12	29	wesonga	wesonga	ADV
cana-1162	12	30	et	et	PROPN
cana-1162	12	31	al	al	PROPN
cana-1162	12	32	.	.	PROPN
cana-1162	12	33	,	,	PUNCT
cana-1162	12	34	2019	2019	NUM
cana-1162	12	35	)	)	PUNCT
cana-1162	12	36	.	.	PUNCT
cana-1162	13	1	airports	airport	NOUN
cana-1162	13	2	typically	typically	ADV
cana-1162	13	3	reside	reside	VERB
cana-1162	13	4	in	in	ADP
cana-1162	13	5	expansive	expansive	ADJ
cana-1162	13	6	territories	territory	NOUN
cana-1162	13	7	,	,	PUNCT
cana-1162	13	8	boasting	boast	VERB
cana-1162	13	9	specific	specific	ADJ
cana-1162	13	10	wind	wind	NOUN
cana-1162	13	11	patterns	pattern	NOUN
cana-1162	13	12	advantageous	advantageous	ADJ
cana-1162	13	13	for	for	ADP
cana-1162	13	14	aerial	aerial	ADJ
cana-1162	13	15	movements	movement	NOUN
cana-1162	13	16	.	.	PUNCT
cana-1162	14	1	to	to	PART
cana-1162	14	2	guarantee	guarantee	VERB
cana-1162	14	3	safe	safe	ADJ
cana-1162	14	4	flights	flight	NOUN
cana-1162	14	5	and	and	CCONJ
cana-1162	14	6	efficient	efficient	ADJ
cana-1162	14	7	planning	planning	NOUN
cana-1162	14	8	,	,	PUNCT
cana-1162	14	9	it	it	PRON
cana-1162	14	10	is	be	AUX
cana-1162	14	11	crucial	crucial	ADJ
cana-1162	14	12	to	to	PART
cana-1162	14	13	have	have	VERB
cana-1162	14	14	access	access	NOUN
cana-1162	14	15	to	to	ADP
cana-1162	14	16	reliable	reliable	ADJ
cana-1162	14	17	weather	weather	NOUN
cana-1162	14	18	data	datum	NOUN
cana-1162	14	19	and	and	CCONJ
cana-1162	14	20	forecasting	forecasting	NOUN
cana-1162	14	21	tools	tool	NOUN
cana-1162	14	22	due	due	ADJ
cana-1162	14	23	to	to	ADP
cana-1162	14	24	the	the	DET
cana-1162	14	25	impact	impact	NOUN
cana-1162	14	26	of	of	ADP
cana-1162	14	27	wind	wind	NOUN
cana-1162	14	28	speed	speed	NOUN
cana-1162	14	29	and	and	CCONJ
cana-1162	14	30	direction	direction	NOUN
cana-1162	14	31	on	on	ADP
cana-1162	14	32	aircraft	aircraft	NOUN
cana-1162	14	33	performance	performance	NOUN
cana-1162	14	34	,	,	PUNCT
cana-1162	14	35	fuel	fuel	NOUN
cana-1162	14	36	consumption	consumption	NOUN
cana-1162	14	37	,	,	PUNCT
cana-1162	14	38	range	range	NOUN
cana-1162	14	39	,	,	PUNCT
cana-1162	14	40	and	and	CCONJ
cana-1162	14	41	passenger	passenger	NOUN
cana-1162	14	42	comfort	comfort	NOUN
cana-1162	14	43	.	.	PUNCT
cana-1162	15	1	for	for	ADP
cana-1162	15	2	flight	flight	NOUN
cana-1162	15	3	operations	operation	NOUN
cana-1162	15	4	and	and	CCONJ
cana-1162	15	5	safety	safety	NOUN
cana-1162	15	6	,	,	PUNCT
cana-1162	15	7	wind	wind	NOUN
cana-1162	15	8	speed	speed	NOUN
cana-1162	15	9	and	and	CCONJ
cana-1162	15	10	direction	direction	NOUN
cana-1162	15	11	play	play	VERB
cana-1162	15	12	a	a	DET
cana-1162	15	13	crucial	crucial	ADJ
cana-1162	15	14	role	role	NOUN
cana-1162	15	15	as	as	SCONJ
cana-1162	15	16	aircraft	aircraft	NOUN
cana-1162	15	17	rely	rely	VERB
cana-1162	15	18	on	on	ADP
cana-1162	15	19	headwinds	headwind	NOUN
cana-1162	15	20	and	and	CCONJ
cana-1162	15	21	tailwinds	tailwind	NOUN
cana-1162	15	22	for	for	ADP
cana-1162	15	23	successful	successful	ADJ
cana-1162	15	24	takeoff	takeoff	NOUN
cana-1162	15	25	and	and	CCONJ
cana-1162	15	26	landing	landing	NOUN
cana-1162	15	27	(	(	PUNCT
cana-1162	15	28	naskar	naskar	NOUN
cana-1162	15	29	et	et	PROPN
cana-1162	15	30	al	al	PROPN
cana-1162	15	31	.	.	PROPN
cana-1162	15	32	,	,	PUNCT
cana-1162	15	33	2023	2023	NUM
cana-1162	15	34	)	)	PUNCT
cana-1162	15	35	.	.	PUNCT
cana-1162	16	1	wind	wind	NOUN
cana-1162	16	2	speeds	speed	NOUN
cana-1162	16	3	higher	high	ADJ
cana-1162	16	4	than	than	ADP
cana-1162	16	5	34	34	NUM
cana-1162	16	6	kilometers	kilometer	NOUN
cana-1162	16	7	per	per	ADP
cana-1162	16	8	hour	hour	NOUN
cana-1162	16	9	can	can	AUX
cana-1162	16	10	cause	cause	VERB
cana-1162	16	11	harm	harm	NOUN
cana-1162	16	12	to	to	ADP
cana-1162	16	13	small	small	ADJ
cana-1162	16	14	aircraft	aircraft	NOUN
cana-1162	16	15	(	(	PUNCT
cana-1162	16	16	wmo	wmo	PROPN
cana-1162	16	17	technical	technical	ADJ
cana-1162	16	18	regulations	regulation	NOUN
cana-1162	16	19	,	,	PUNCT
cana-1162	16	20	2013	2013	NUM
cana-1162	16	21	)	)	PUNCT
cana-1162	16	22	.	.	PUNCT
cana-1162	17	1	communications	communication	NOUN
cana-1162	17	2	on	on	ADP
cana-1162	17	3	applied	apply	VERB
cana-1162	17	4	nonlinear	nonlinear	ADJ
cana-1162	17	5	analysis	analysis	NOUN
cana-1162	17	6	issn	issn	NOUN
cana-1162	17	7	:	:	PUNCT
cana-1162	17	8	1074	1074	NUM
cana-1162	17	9	-	-	PUNCT
cana-1162	17	10	133x	133x	NUM
cana-1162	17	11	vol	vol	NOUN
cana-1162	17	12	31	31	NUM
cana-1162	17	13	no	no	NOUN
cana-1162	17	14	.	.	PUNCT
cana-1162	18	1	6s	6s	NUM
cana-1162	18	2	(	(	PUNCT
cana-1162	18	3	2024	2024	NUM
cana-1162	18	4	)	)	PUNCT
cana-1162	18	5	82	82	NUM
cana-1162	18	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1162	18	7	machine	machine	NOUN
cana-1162	18	8	learning	learn	VERB
cana-1162	18	9	deals	deal	NOUN
cana-1162	18	10	with	with	ADP
cana-1162	18	11	the	the	DET
cana-1162	18	12	challenge	challenge	NOUN
cana-1162	18	13	of	of	ADP
cana-1162	18	14	constructing	construct	VERB
cana-1162	18	15	computers	computer	NOUN
cana-1162	18	16	that	that	PRON
cana-1162	18	17	can	can	AUX
cana-1162	18	18	autonomously	autonomously	ADV
cana-1162	18	19	enhance	enhance	VERB
cana-1162	18	20	their	their	PRON
cana-1162	18	21	performance	performance	NOUN
cana-1162	18	22	through	through	ADP
cana-1162	18	23	accumulated	accumulate	VERB
cana-1162	18	24	experience	experience	NOUN
cana-1162	18	25	(	(	PUNCT
cana-1162	18	26	jordan	jordan	PROPN
cana-1162	18	27	&	&	CCONJ
cana-1162	18	28	mitchell	mitchell	PROPN
cana-1162	18	29	.	.	PROPN
cana-1162	18	30	,	,	PUNCT
cana-1162	18	31	2015	2015	NUM
cana-1162	18	32	)	)	PUNCT
cana-1162	18	33	.	.	PUNCT
cana-1162	19	1	through	through	ADP
cana-1162	19	2	the	the	DET
cana-1162	19	3	highperformance	highperformance	NOUN
cana-1162	19	4	computing	computing	NOUN
cana-1162	19	5	and	and	CCONJ
cana-1162	19	6	synergy	synergy	NOUN
cana-1162	19	7	of	of	ADP
cana-1162	19	8	big	big	ADJ
cana-1162	19	9	data	datum	NOUN
cana-1162	19	10	technologies	technology	NOUN
cana-1162	19	11	,	,	PUNCT
cana-1162	19	12	machine	machine	NOUN
cana-1162	19	13	learning	learning	NOUN
cana-1162	19	14	has	have	AUX
cana-1162	19	15	revolutionized	revolutionize	VERB
cana-1162	19	16	data	datum	NOUN
cana-1162	19	17	-	-	PUNCT
cana-1162	19	18	intensive	intensive	ADJ
cana-1162	19	19	science	science	NOUN
cana-1162	19	20	in	in	ADP
cana-1162	19	21	multi	multi	ADJ
cana-1162	19	22	-	-	ADJ
cana-1162	19	23	disciplinary	disciplinary	ADJ
cana-1162	19	24	technologies	technology	NOUN
cana-1162	19	25	(	(	PUNCT
cana-1162	19	26	liakos	liakos	PROPN
cana-1162	19	27	et	et	PROPN
cana-1162	19	28	al	al	PROPN
cana-1162	19	29	.	.	PROPN
cana-1162	19	30	,	,	PUNCT
cana-1162	19	31	2018	2018	NUM
cana-1162	19	32	)	)	PUNCT
cana-1162	19	33	.	.	PUNCT
cana-1162	20	1	wind	wind	NOUN
cana-1162	20	2	speed	speed	NOUN
cana-1162	20	3	prediction	prediction	NOUN
cana-1162	20	4	through	through	ADP
cana-1162	20	5	machine	machine	NOUN
cana-1162	20	6	learning	learning	NOUN
cana-1162	20	7	has	have	AUX
cana-1162	20	8	gained	gain	VERB
cana-1162	20	9	considerable	considerable	ADJ
cana-1162	20	10	significance	significance	NOUN
cana-1162	20	11	in	in	ADP
cana-1162	20	12	recent	recent	ADJ
cana-1162	20	13	times	time	NOUN
cana-1162	20	14	,	,	PUNCT
cana-1162	20	15	owing	owe	VERB
cana-1162	20	16	to	to	ADP
cana-1162	20	17	its	its	PRON
cana-1162	20	18	ability	ability	NOUN
cana-1162	20	19	to	to	PART
cana-1162	20	20	enhance	enhance	VERB
cana-1162	20	21	the	the	DET
cana-1162	20	22	accuracy	accuracy	NOUN
cana-1162	20	23	of	of	ADP
cana-1162	20	24	wind	wind	NOUN
cana-1162	20	25	energy	energy	NOUN
cana-1162	20	26	production	production	NOUN
cana-1162	20	27	and	and	CCONJ
cana-1162	20	28	provide	provide	VERB
cana-1162	20	29	valuable	valuable	ADJ
cana-1162	20	30	insights	insight	NOUN
cana-1162	20	31	into	into	ADP
cana-1162	20	32	climate	climate	NOUN
cana-1162	20	33	events	event	NOUN
cana-1162	20	34	in	in	ADP
cana-1162	20	35	airports	airport	NOUN
cana-1162	20	36	(	(	PUNCT
cana-1162	20	37	alves	alve	NOUN
cana-1162	20	38	et	et	PROPN
cana-1162	20	39	al	al	PROPN
cana-1162	20	40	.	.	PROPN
cana-1162	20	41	,	,	PUNCT
cana-1162	20	42	2023	2023	NUM
cana-1162	20	43	)	)	PUNCT
cana-1162	20	44	.	.	PUNCT
cana-1162	21	1	using	use	VERB
cana-1162	21	2	machine	machine	NOUN
cana-1162	21	3	learning	learning	NOUN
cana-1162	21	4	for	for	ADP
cana-1162	21	5	wind	wind	NOUN
cana-1162	21	6	speed	speed	NOUN
cana-1162	21	7	prediction	prediction	NOUN
cana-1162	21	8	offers	offer	VERB
cana-1162	21	9	numerous	numerous	ADJ
cana-1162	21	10	advantages	advantage	NOUN
cana-1162	21	11	,	,	PUNCT
cana-1162	21	12	such	such	ADJ
cana-1162	21	13	as	as	ADP
cana-1162	21	14	improved	improved	ADJ
cana-1162	21	15	accuracy	accuracy	NOUN
cana-1162	21	16	,	,	PUNCT
cana-1162	21	17	short	short	ADJ
cana-1162	21	18	-	-	PUNCT
cana-1162	21	19	term	term	NOUN
cana-1162	21	20	forecasting	forecasting	NOUN
cana-1162	21	21	,	,	PUNCT
cana-1162	21	22	and	and	CCONJ
cana-1162	21	23	adaptability	adaptability	NOUN
cana-1162	21	24	(	(	PUNCT
cana-1162	21	25	lagomarsino	lagomarsino	NOUN
cana-1162	21	26	et	et	PROPN
cana-1162	21	27	al	al	PROPN
cana-1162	21	28	.	.	PROPN
cana-1162	21	29	,	,	PUNCT
cana-1162	21	30	2023	2023	NUM
cana-1162	21	31	;	;	PUNCT
cana-1162	21	32	kumar	kumar	PROPN
cana-1162	21	33	.	.	PROPN
cana-1162	21	34	,	,	PUNCT
cana-1162	21	35	2019	2019	NUM
cana-1162	21	36	)	)	PUNCT
cana-1162	21	37	.	.	PUNCT
cana-1162	22	1	the	the	DET
cana-1162	22	2	non	non	ADJ
cana-1162	22	3	-	-	ADJ
cana-1162	22	4	parametric	parametric	ADJ
cana-1162	22	5	ml	ml	NOUN
cana-1162	22	6	models	model	NOUN
cana-1162	22	7	effectively	effectively	ADV
cana-1162	22	8	evaluate	evaluate	VERB
cana-1162	22	9	nonlinear	nonlinear	ADJ
cana-1162	22	10	relationships	relationship	NOUN
cana-1162	22	11	between	between	ADP
cana-1162	22	12	input	input	NOUN
cana-1162	22	13	and	and	CCONJ
cana-1162	22	14	output	output	NOUN
cana-1162	22	15	variables	variable	NOUN
cana-1162	22	16	.	.	PUNCT
cana-1162	23	1	the	the	DET
cana-1162	23	2	successful	successful	ADJ
cana-1162	23	3	examination	examination	NOUN
cana-1162	23	4	of	of	ADP
cana-1162	23	5	wind	wind	NOUN
cana-1162	23	6	speed	speed	NOUN
cana-1162	23	7	has	have	AUX
cana-1162	23	8	been	be	AUX
cana-1162	23	9	achieved	achieve	VERB
cana-1162	23	10	through	through	ADP
cana-1162	23	11	the	the	DET
cana-1162	23	12	implementation	implementation	NOUN
cana-1162	23	13	of	of	ADP
cana-1162	23	14	multiple	multiple	ADJ
cana-1162	23	15	standalone	standalone	ADJ
cana-1162	23	16	ml	ml	NOUN
cana-1162	23	17	models	model	NOUN
cana-1162	23	18	like	like	ADP
cana-1162	23	19	support	support	NOUN
cana-1162	23	20	vector	vector	NOUN
cana-1162	23	21	machine	machine	NOUN
cana-1162	23	22	(	(	PUNCT
cana-1162	23	23	svm	svm	PROPN
cana-1162	23	24	)	)	PUNCT
cana-1162	23	25	,	,	PUNCT
cana-1162	23	26	artificial	artificial	ADJ
cana-1162	23	27	neural	neural	ADJ
cana-1162	23	28	networks	network	NOUN
cana-1162	23	29	(	(	PUNCT
cana-1162	23	30	ann	ann	PROPN
cana-1162	23	31	)	)	PUNCT
cana-1162	23	32	,	,	PUNCT
cana-1162	23	33	convolution	convolution	NOUN
cana-1162	23	34	neural	neural	ADJ
cana-1162	23	35	networks	network	NOUN
cana-1162	23	36	(	(	PUNCT
cana-1162	23	37	cnn	cnn	PROPN
cana-1162	23	38	)	)	PUNCT
cana-1162	23	39	,	,	PUNCT
cana-1162	23	40	adaptive	adaptive	ADJ
cana-1162	23	41	neuro	neuro	NOUN
cana-1162	23	42	-	-	PUNCT
cana-1162	23	43	fuzzy	fuzzy	ADJ
cana-1162	23	44	inference	inference	NOUN
cana-1162	23	45	systems	system	NOUN
cana-1162	23	46	(	(	PUNCT
cana-1162	23	47	anfis	anfis	PROPN
cana-1162	23	48	)	)	PUNCT
cana-1162	23	49	,	,	PUNCT
cana-1162	23	50	lstm	lstm	ADJ
cana-1162	23	51	deep	deep	ADJ
cana-1162	23	52	learning	learning	NOUN
cana-1162	23	53	,	,	PUNCT
cana-1162	23	54	rf	rf	NOUN
cana-1162	23	55	,	,	PUNCT
cana-1162	23	56	lr	lr	NOUN
cana-1162	23	57	,	,	PUNCT
cana-1162	23	58	and	and	CCONJ
cana-1162	23	59	extreme	extreme	ADJ
cana-1162	23	60	learning	learning	NOUN
cana-1162	23	61	machines	machine	NOUN
cana-1162	23	62	(	(	PUNCT
cana-1162	23	63	lawal	lawal	PROPN
cana-1162	23	64	et	et	PROPN
cana-1162	23	65	al	al	PROPN
cana-1162	23	66	.	.	PROPN
cana-1162	23	67	,	,	PUNCT
cana-1162	23	68	2021	2021	NUM
cana-1162	23	69	;	;	PUNCT
cana-1162	23	70	demolli	demolli	NOUN
cana-1162	23	71	et	et	PROPN
cana-1162	23	72	al	al	PROPN
cana-1162	23	73	.	.	PROPN
cana-1162	23	74	,	,	PUNCT
cana-1162	23	75	2019	2019	NUM
cana-1162	23	76	;	;	PUNCT
cana-1162	23	77	chitsazan	chitsazan	X
cana-1162	23	78	et	et	PROPN
cana-1162	23	79	al	al	PROPN
cana-1162	23	80	.	.	PROPN
cana-1162	23	81	,	,	PUNCT
cana-1162	23	82	2019	2019	NUM
cana-1162	23	83	;	;	PUNCT
cana-1162	23	84	chen	chen	PROPN
cana-1162	23	85	et	et	PROPN
cana-1162	23	86	al	al	PROPN
cana-1162	23	87	.	.	PROPN
cana-1162	23	88	,	,	PUNCT
cana-1162	23	89	2018	2018	NUM
cana-1162	23	90	;	;	PUNCT
cana-1162	24	1	liu	liu	PROPN
cana-1162	24	2	et	et	PROPN
cana-1162	24	3	al	al	PROPN
cana-1162	24	4	.	.	PROPN
cana-1162	24	5	,	,	PUNCT
cana-1162	24	6	2014	2014	NUM
cana-1162	24	7	;	;	PUNCT
cana-1162	24	8	kavasseri	kavasseri	PROPN
cana-1162	24	9	and	and	CCONJ
cana-1162	24	10	seetharaman	seetharaman	NOUN
cana-1162	24	11	,	,	PUNCT
cana-1162	24	12	2009	2009	NUM
cana-1162	24	13	)	)	PUNCT
cana-1162	24	14	.	.	PUNCT
cana-1162	25	1	analytical	analytical	ADJ
cana-1162	25	2	models	model	NOUN
cana-1162	25	3	used	use	VERB
cana-1162	25	4	to	to	PART
cana-1162	25	5	make	make	VERB
cana-1162	25	6	statistical	statistical	ADJ
cana-1162	25	7	projections	projection	NOUN
cana-1162	25	8	include	include	VERB
cana-1162	25	9	linear	linear	PROPN
cana-1162	25	10	regression	regression	NOUN
cana-1162	25	11	(	(	PUNCT
cana-1162	25	12	lr	lr	NOUN
cana-1162	25	13	)	)	PUNCT
cana-1162	25	14	,	,	PUNCT
cana-1162	25	15	time	time	NOUN
cana-1162	25	16	series	series	PROPN
cana-1162	25	17	forecasting	forecasting	PROPN
cana-1162	25	18	(	(	PUNCT
cana-1162	25	19	tsf	tsf	PROPN
cana-1162	25	20	)	)	PUNCT
cana-1162	25	21	,	,	PUNCT
cana-1162	25	22	classification	classification	NOUN
cana-1162	25	23	and	and	CCONJ
cana-1162	25	24	regression	regression	NOUN
cana-1162	25	25	trees	tree	NOUN
cana-1162	25	26	(	(	PUNCT
cana-1162	25	27	cart	cart	NOUN
cana-1162	25	28	)	)	PUNCT
cana-1162	25	29	,	,	PUNCT
cana-1162	25	30	simple	simple	ADJ
cana-1162	25	31	moving	move	VERB
cana-1162	25	32	average	average	ADJ
cana-1162	25	33	(	(	PUNCT
cana-1162	25	34	sma	sma	NOUN
cana-1162	25	35	)	)	PUNCT
cana-1162	25	36	,	,	PUNCT
cana-1162	25	37	exponential	exponential	NOUN
cana-1162	25	38	smoothing	smoothing	NOUN
cana-1162	25	39	(	(	PUNCT
cana-1162	25	40	ses	ses	PROPN
cana-1162	25	41	)	)	PUNCT
cana-1162	25	42	,	,	PUNCT
cana-1162	25	43	autoregressive	autoregressive	ADJ
cana-1162	25	44	integrated	integrated	ADJ
cana-1162	25	45	moving	move	VERB
cana-1162	25	46	average	average	NOUN
cana-1162	25	47	(	(	PUNCT
cana-1162	25	48	arima	arima	PROPN
cana-1162	25	49	)	)	PUNCT
cana-1162	25	50	,	,	PUNCT
cana-1162	25	51	and	and	CCONJ
cana-1162	25	52	seasonal	seasonal	ADJ
cana-1162	25	53	are	be	AUX
cana-1162	25	54	autoregressive	autoregressive	ADJ
cana-1162	25	55	integrated	integrated	ADJ
cana-1162	25	56	moving	move	VERB
cana-1162	25	57	average	average	ADJ
cana-1162	25	58	(	(	PUNCT
cana-1162	25	59	sarima	sarima	NOUN
cana-1162	25	60	)	)	PUNCT
cana-1162	25	61	.	.	PUNCT
cana-1162	26	1	the	the	DET
cana-1162	26	2	diverse	diverse	ADJ
cana-1162	26	3	range	range	NOUN
cana-1162	26	4	of	of	ADP
cana-1162	26	5	models	model	NOUN
cana-1162	26	6	available	available	ADJ
cana-1162	26	7	offer	offer	VERB
cana-1162	26	8	unique	unique	ADJ
cana-1162	26	9	strategies	strategy	NOUN
cana-1162	26	10	for	for	ADP
cana-1162	26	11	forecasting	forecast	VERB
cana-1162	26	12	future	future	ADJ
cana-1162	26	13	trends	trend	NOUN
cana-1162	26	14	through	through	ADP
cana-1162	26	15	analysis	analysis	NOUN
cana-1162	26	16	of	of	ADP
cana-1162	26	17	historical	historical	ADJ
cana-1162	26	18	data	datum	NOUN
cana-1162	26	19	and	and	CCONJ
cana-1162	26	20	consideration	consideration	NOUN
cana-1162	26	21	of	of	ADP
cana-1162	26	22	specific	specific	ADJ
cana-1162	26	23	event	event	NOUN
cana-1162	26	24	needs	need	VERB
cana-1162	26	25	.	.	PUNCT
cana-1162	27	1	also	also	ADV
cana-1162	27	2	,	,	PUNCT
cana-1162	27	3	many	many	ADJ
cana-1162	27	4	studies	study	NOUN
cana-1162	27	5	have	have	AUX
cana-1162	27	6	been	be	AUX
cana-1162	27	7	done	do	VERB
cana-1162	27	8	with	with	ADP
cana-1162	27	9	statistical	statistical	ADJ
cana-1162	27	10	methods	method	NOUN
cana-1162	27	11	to	to	PART
cana-1162	27	12	predict	predict	VERB
cana-1162	27	13	the	the	DET
cana-1162	27	14	time	time	NOUN
cana-1162	27	15	series	series	NOUN
cana-1162	27	16	of	of	ADP
cana-1162	27	17	meteorological	meteorological	ADJ
cana-1162	27	18	events	event	NOUN
cana-1162	27	19	,	,	PUNCT
cana-1162	27	20	in	in	ADP
cana-1162	27	21	which	which	PRON
cana-1162	27	22	the	the	DET
cana-1162	27	23	statistical	statistical	ADJ
cana-1162	27	24	models	model	NOUN
cana-1162	27	25	have	have	AUX
cana-1162	27	26	performed	perform	VERB
cana-1162	27	27	somewhat	somewhat	ADV
cana-1162	27	28	acceptable	acceptable	ADJ
cana-1162	27	29	(	(	PUNCT
cana-1162	27	30	elsaraiti	elsaraiti	ADV
cana-1162	27	31	and	and	CCONJ
cana-1162	27	32	merabet	merabet	NOUN
cana-1162	27	33	,	,	PUNCT
cana-1162	27	34	2021	2021	NUM
cana-1162	27	35	;	;	PUNCT
cana-1162	27	36	yatiyana	yatiyana	PROPN
cana-1162	27	37	et	et	PROPN
cana-1162	27	38	al	al	PROPN
cana-1162	27	39	.	.	PROPN
cana-1162	27	40	,	,	PUNCT
cana-1162	27	41	2017	2017	NUM
cana-1162	27	42	;	;	PUNCT
cana-1162	27	43	lydia	lydia	PROPN
cana-1162	27	44	et	et	PROPN
cana-1162	27	45	al	al	PROPN
cana-1162	27	46	.	.	PROPN
cana-1162	27	47	,	,	PUNCT
cana-1162	27	48	2016	2016	NUM
cana-1162	27	49	)	)	PUNCT
cana-1162	27	50	.	.	PUNCT
cana-1162	28	1	according	accord	VERB
cana-1162	28	2	to	to	ADP
cana-1162	28	3	previous	previous	ADJ
cana-1162	28	4	studies	study	NOUN
cana-1162	28	5	,	,	PUNCT
cana-1162	28	6	less	less	ADJ
cana-1162	28	7	research	research	NOUN
cana-1162	28	8	has	have	AUX
cana-1162	28	9	been	be	AUX
cana-1162	28	10	done	do	VERB
cana-1162	28	11	in	in	ADP
cana-1162	28	12	the	the	DET
cana-1162	28	13	field	field	NOUN
cana-1162	28	14	of	of	ADP
cana-1162	28	15	aviation	aviation	NOUN
cana-1162	28	16	,	,	PUNCT
cana-1162	28	17	especially	especially	ADV
cana-1162	28	18	airports	airport	NOUN
cana-1162	28	19	,	,	PUNCT
cana-1162	28	20	with	with	ADP
cana-1162	28	21	advanced	advanced	ADJ
cana-1162	28	22	cnn	cnn	PROPN
cana-1162	28	23	models	model	NOUN
cana-1162	28	24	.	.	PUNCT
cana-1162	29	1	consequently	consequently	ADV
cana-1162	29	2	,	,	PUNCT
cana-1162	29	3	this	this	DET
cana-1162	29	4	endeavor	endeavor	NOUN
cana-1162	29	5	examines	examine	VERB
cana-1162	29	6	the	the	DET
cana-1162	29	7	effectiveness	effectiveness	NOUN
cana-1162	29	8	of	of	ADP
cana-1162	29	9	arima	arima	PROPN
cana-1162	29	10	,	,	PUNCT
cana-1162	29	11	ann	ann	PROPN
cana-1162	29	12	,	,	PUNCT
cana-1162	29	13	and	and	CCONJ
cana-1162	29	14	cnn	cnn	PROPN
cana-1162	29	15	models	model	NOUN
cana-1162	29	16	in	in	ADP
cana-1162	29	17	precisely	precisely	ADV
cana-1162	29	18	predicting	predict	VERB
cana-1162	29	19	the	the	DET
cana-1162	29	20	airports	airport	NOUN
cana-1162	29	21	'	'	PART
cana-1162	29	22	highest	high	ADJ
cana-1162	29	23	wind	wind	NOUN
cana-1162	29	24	velocity	velocity	NOUN
cana-1162	29	25	.	.	PUNCT
cana-1162	30	1	to	to	ADP
cana-1162	30	2	date	date	NOUN
cana-1162	30	3	,	,	PUNCT
cana-1162	30	4	no	no	DET
cana-1162	30	5	studies	study	NOUN
cana-1162	30	6	have	have	AUX
cana-1162	30	7	been	be	AUX
cana-1162	30	8	reported	report	VERB
cana-1162	30	9	in	in	ADP
cana-1162	30	10	forecasting	forecast	VERB
cana-1162	30	11	max	max	PROPN
cana-1162	30	12	wind	wind	NOUN
cana-1162	30	13	speed	speed	NOUN
cana-1162	30	14	for	for	ADP
cana-1162	30	15	king	king	NOUN
cana-1162	30	16	khalid	khalid	PROPN
cana-1162	30	17	international	international	PROPN
cana-1162	30	18	airport	airport	PROPN
cana-1162	30	19	fluctuations	fluctuation	NOUN
cana-1162	30	20	using	use	VERB
cana-1162	30	21	the	the	DET
cana-1162	30	22	cnn	cnn	PROPN
cana-1162	30	23	technique	technique	NOUN
cana-1162	30	24	.	.	PUNCT
cana-1162	31	1	communications	communication	NOUN
cana-1162	31	2	on	on	ADP
cana-1162	31	3	applied	apply	VERB
cana-1162	31	4	nonlinear	nonlinear	ADJ
cana-1162	31	5	analysis	analysis	NOUN
cana-1162	31	6	issn	issn	NOUN
cana-1162	31	7	:	:	PUNCT
cana-1162	31	8	1074	1074	NUM
cana-1162	31	9	-	-	PUNCT
cana-1162	31	10	133x	133x	NUM
cana-1162	31	11	vol	vol	NOUN
cana-1162	31	12	31	31	NUM
cana-1162	31	13	no	no	NOUN
cana-1162	31	14	.	.	PUNCT
cana-1162	32	1	6s	6s	NUM
cana-1162	32	2	(	(	PUNCT
cana-1162	32	3	2024	2024	NUM
cana-1162	32	4	)	)	PUNCT
cana-1162	32	5	83	83	NUM
cana-1162	32	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1162	32	7	2	2	NUM
cana-1162	32	8	.	.	PUNCT
cana-1162	32	9	materials	material	NOUN
cana-1162	32	10	and	and	CCONJ
cana-1162	32	11	methods	method	NOUN
cana-1162	32	12	2.1	2.1	NUM
cana-1162	32	13	.	.	PUNCT
cana-1162	33	1	study	study	NOUN
cana-1162	33	2	area	area	NOUN
cana-1162	33	3	and	and	CCONJ
cana-1162	33	4	data	datum	NOUN
cana-1162	33	5	required	require	VERB
cana-1162	33	6	in	in	ADP
cana-1162	33	7	this	this	DET
cana-1162	33	8	study	study	NOUN
cana-1162	33	9	,	,	PUNCT
cana-1162	33	10	three	three	NUM
cana-1162	33	11	international	international	ADJ
cana-1162	33	12	airports	airport	NOUN
cana-1162	33	13	in	in	ADP
cana-1162	33	14	saudi	saudi	PROPN
cana-1162	33	15	arabia	arabia	PROPN
cana-1162	33	16	were	be	AUX
cana-1162	33	17	selected	select	VERB
cana-1162	33	18	to	to	PART
cana-1162	33	19	forecast	forecast	VERB
cana-1162	33	20	multistep	multistep	ADJ
cana-1162	33	21	maximum	maximum	ADJ
cana-1162	33	22	wind	wind	NOUN
cana-1162	33	23	speed	speed	NOUN
cana-1162	33	24	(	(	PUNCT
cana-1162	33	25	mws	mws	NOUN
cana-1162	33	26	)	)	PUNCT
cana-1162	33	27	are	be	AUX
cana-1162	33	28	(	(	PUNCT
cana-1162	33	29	fig	fig	NOUN
cana-1162	33	30	.	.	NOUN
cana-1162	34	1	1	1	NUM
cana-1162	34	2	)	)	PUNCT
cana-1162	34	3	.	.	PUNCT
cana-1162	35	1	•	•	NUM
cana-1162	35	2	king	king	PROPN
cana-1162	35	3	khalid	khalid	PROPN
cana-1162	35	4	international	international	PROPN
cana-1162	35	5	airport	airport	PROPN
cana-1162	35	6	(	(	PUNCT
cana-1162	35	7	kkia	kkia	PROPN
cana-1162	35	8	)	)	PUNCT
cana-1162	35	9	,	,	PUNCT
cana-1162	35	10	which	which	PRON
cana-1162	35	11	is	be	AUX
cana-1162	35	12	situated	situate	VERB
cana-1162	35	13	35	35	NUM
cana-1162	35	14	kilometers	kilometer	NOUN
cana-1162	35	15	north	north	ADV
cana-1162	35	16	of	of	ADP
cana-1162	35	17	riyadh	riyadh	NOUN
cana-1162	35	18	,	,	PUNCT
cana-1162	35	19	lying	lie	VERB
cana-1162	35	20	between	between	ADP
cana-1162	35	21	24	24	NUM
cana-1162	35	22	°	°	NUM
cana-1162	35	23	57′28″n	57′28″n	NUM
cana-1162	35	24	,	,	PUNCT
cana-1162	35	25	46	46	NUM
cana-1162	35	26	°	°	PROPN
cana-1162	35	27	41′56″e	41′56″e	NUM
cana-1162	35	28	latitude	latitude	NOUN
cana-1162	35	29	and	and	CCONJ
cana-1162	35	30	24	24	NUM
cana-1162	35	31	°	°	NUM
cana-1162	35	32	95′78″n	95′78″n	NUM
cana-1162	35	33	,	,	PUNCT
cana-1162	35	34	46	46	NUM
cana-1162	35	35	°	°	NUM
cana-1162	35	36	69′89″e	69′89″e	NUM
cana-1162	35	37	longitude	longitude	NOUN
cana-1162	35	38	and	and	CCONJ
cana-1162	35	39	625	625	NUM
cana-1162	35	40	m	m	NOUN
cana-1162	35	41	above	above	ADP
cana-1162	35	42	sea	sea	NOUN
cana-1162	35	43	level	level	NOUN
cana-1162	35	44	(	(	PUNCT
cana-1162	35	45	almuharib	almuharib	PROPN
cana-1162	35	46	.	.	PROPN
cana-1162	35	47	,	,	PUNCT
cana-1162	35	48	2014	2014	NUM
cana-1162	35	49	)	)	PUNCT
cana-1162	35	50	.	.	PUNCT
cana-1162	36	1	as	as	ADP
cana-1162	36	2	a	a	DET
cana-1162	36	3	significant	significant	ADJ
cana-1162	36	4	airport	airport	NOUN
cana-1162	36	5	in	in	ADP
cana-1162	36	6	riyadh	riyadh	PROPN
cana-1162	36	7	,	,	PUNCT
cana-1162	36	8	saudi	saudi	PROPN
cana-1162	36	9	arabia	arabia	PROPN
cana-1162	36	10	,	,	PUNCT
cana-1162	36	11	king	king	PROPN
cana-1162	36	12	khalid	khalid	PROPN
cana-1162	36	13	international	international	PROPN
cana-1162	36	14	airport	airport	PROPN
cana-1162	36	15	functions	function	NOUN
cana-1162	36	16	as	as	ADP
cana-1162	36	17	a	a	DET
cana-1162	36	18	central	central	ADJ
cana-1162	36	19	hub	hub	NOUN
cana-1162	36	20	for	for	ADP
cana-1162	36	21	numerous	numerous	ADJ
cana-1162	36	22	flights	flight	NOUN
cana-1162	36	23	with	with	ADP
cana-1162	36	24	origins	origin	NOUN
cana-1162	36	25	in	in	ADP
cana-1162	36	26	both	both	CCONJ
cana-1162	36	27	the	the	DET
cana-1162	36	28	domestic	domestic	ADJ
cana-1162	36	29	and	and	CCONJ
cana-1162	36	30	international	international	ADJ
cana-1162	36	31	sectors	sector	NOUN
cana-1162	36	32	.	.	PUNCT
cana-1162	37	1	kkia	kkia	PROPN
cana-1162	37	2	covers	cover	VERB
cana-1162	37	3	an	an	DET
cana-1162	37	4	area	area	NOUN
cana-1162	37	5	of	of	ADP
cana-1162	37	6	105	105	NUM
cana-1162	37	7	square	square	ADJ
cana-1162	37	8	kilometers	kilometer	NOUN
cana-1162	37	9	(	(	PUNCT
cana-1162	37	10	41	41	NUM
cana-1162	37	11	square	square	ADJ
cana-1162	37	12	miles	mile	NOUN
cana-1162	37	13	)	)	PUNCT
cana-1162	37	14	and	and	CCONJ
cana-1162	37	15	has	have	VERB
cana-1162	37	16	a	a	DET
cana-1162	37	17	hot	hot	ADJ
cana-1162	37	18	desert	desert	NOUN
cana-1162	37	19	climate	climate	NOUN
cana-1162	37	20	with	with	ADP
cana-1162	37	21	long	long	ADJ
cana-1162	37	22	,	,	PUNCT
cana-1162	37	23	sweltering	sweltering	ADJ
cana-1162	37	24	summers	summer	NOUN
cana-1162	37	25	and	and	CCONJ
cana-1162	37	26	cool	cool	ADJ
cana-1162	37	27	,	,	PUNCT
cana-1162	37	28	dry	dry	ADJ
cana-1162	37	29	winters	winter	NOUN
cana-1162	37	30	.	.	PUNCT
cana-1162	38	1	from	from	ADP
cana-1162	38	2	january	january	PROPN
cana-1162	38	3	to	to	ADP
cana-1162	38	4	july	july	PROPN
cana-1162	38	5	,	,	PUNCT
cana-1162	38	6	there	there	PRON
cana-1162	38	7	is	be	VERB
cana-1162	38	8	a	a	DET
cana-1162	38	9	yearly	yearly	ADJ
cana-1162	38	10	temperature	temperature	NOUN
cana-1162	38	11	range	range	NOUN
cana-1162	38	12	spanning	span	VERB
cana-1162	38	13	from	from	ADP
cana-1162	38	14	43	43	NUM
cana-1162	38	15	°	°	NOUN
cana-1162	38	16	f	f	NOUN
cana-1162	38	17	to	to	ADP
cana-1162	38	18	110	110	NUM
cana-1162	38	19	°	°	NOUN
cana-1162	38	20	f	f	PROPN
cana-1162	38	21	,	,	PUNCT
cana-1162	38	22	with	with	ADP
cana-1162	38	23	july	july	PROPN
cana-1162	38	24	experiencing	experience	VERB
cana-1162	38	25	the	the	DET
cana-1162	38	26	highest	high	ADJ
cana-1162	38	27	temperatures	temperature	NOUN
cana-1162	38	28	and	and	CCONJ
cana-1162	38	29	january	january	NOUN
cana-1162	38	30	being	be	AUX
cana-1162	38	31	the	the	DET
cana-1162	38	32	coldest	cold	ADJ
cana-1162	38	33	month	month	NOUN
cana-1162	38	34	.	.	PUNCT
cana-1162	39	1	•	•	NUM
cana-1162	39	2	king	king	PROPN
cana-1162	39	3	fahd	fahd	PROPN
cana-1162	39	4	international	international	PROPN
cana-1162	39	5	airport	airport	NOUN
cana-1162	39	6	which	which	PRON
cana-1162	39	7	is	be	AUX
cana-1162	39	8	named	name	VERB
cana-1162	39	9	after	after	ADP
cana-1162	39	10	the	the	DET
cana-1162	39	11	former	former	ADJ
cana-1162	39	12	king	king	NOUN
cana-1162	39	13	of	of	ADP
cana-1162	39	14	saudi	saudi	PROPN
cana-1162	39	15	arabia	arabia	PROPN
cana-1162	39	16	,	,	PUNCT
cana-1162	39	17	fahd	fahd	PROPN
cana-1162	39	18	ibn	ibn	PROPN
cana-1162	39	19	abdulaziz	abdulaziz	PROPN
cana-1162	39	20	,	,	PUNCT
cana-1162	39	21	is	be	AUX
cana-1162	39	22	located	locate	VERB
cana-1162	39	23	31	31	NUM
cana-1162	39	24	kilometers	kilometer	NOUN
cana-1162	39	25	northwest	northwest	ADV
cana-1162	39	26	of	of	ADP
cana-1162	39	27	downtown	downtown	NOUN
cana-1162	39	28	dammam	dammam	PROPN
cana-1162	39	29	.	.	PUNCT
cana-1162	40	1	lying	lie	VERB
cana-1162	40	2	between	between	ADP
cana-1162	40	3	26	26	NUM
cana-1162	40	4	°	°	NOUN
cana-1162	40	5	29′32″n	29′32″n	NUM
cana-1162	40	6	,	,	PUNCT
cana-1162	40	7	49	49	NUM
cana-1162	40	8	°	°	NUM
cana-1162	40	9	48'87″e	48'87″e	NOUN
cana-1162	40	10	latitude	latitude	NOUN
cana-1162	40	11	and	and	CCONJ
cana-1162	40	12	24	24	NUM
cana-1162	40	13	°	°	NUM
cana-1162	40	14	95'78″n	95'78″n	NOUN
cana-1162	40	15	,	,	PUNCT
cana-1162	40	16	46	46	NUM
cana-1162	40	17	°	°	NUM
cana-1162	40	18	69'89″e	69'89″e	NOUN
cana-1162	40	19	longitude	longitude	NOUN
cana-1162	40	20	and	and	CCONJ
cana-1162	40	21	22	22	NUM
cana-1162	40	22	m	m	NOUN
cana-1162	40	23	above	above	ADP
cana-1162	40	24	sea	sea	NOUN
cana-1162	40	25	level	level	NOUN
cana-1162	40	26	(	(	PUNCT
cana-1162	40	27	salama	salama	NOUN
cana-1162	40	28	et	et	PROPN
cana-1162	40	29	al	al	PROPN
cana-1162	40	30	.	.	PROPN
cana-1162	40	31	,	,	PUNCT
cana-1162	40	32	2016	2016	NUM
cana-1162	40	33	)	)	PUNCT
cana-1162	40	34	.	.	PUNCT
cana-1162	41	1	situated	situate	VERB
cana-1162	41	2	in	in	ADP
cana-1162	41	3	the	the	DET
cana-1162	41	4	eastern	eastern	ADJ
cana-1162	41	5	province	province	NOUN
cana-1162	41	6	of	of	ADP
cana-1162	41	7	saudi	saudi	PROPN
cana-1162	41	8	arabia	arabia	PROPN
cana-1162	41	9	,	,	PUNCT
cana-1162	41	10	it	it	PRON
cana-1162	41	11	is	be	AUX
cana-1162	41	12	the	the	DET
cana-1162	41	13	largest	large	ADJ
cana-1162	41	14	airport	airport	NOUN
cana-1162	41	15	and	and	CCONJ
cana-1162	41	16	remains	remain	VERB
cana-1162	41	17	one	one	NUM
cana-1162	41	18	of	of	ADP
cana-1162	41	19	the	the	DET
cana-1162	41	20	busiest	busy	ADJ
cana-1162	41	21	in	in	ADP
cana-1162	41	22	the	the	DET
cana-1162	41	23	country	country	NOUN
cana-1162	41	24	.	.	PUNCT
cana-1162	42	1	at	at	ADP
cana-1162	42	2	king	king	PROPN
cana-1162	42	3	fahd	fahd	PROPN
cana-1162	42	4	international	international	PROPN
cana-1162	42	5	airport	airport	PROPN
cana-1162	42	6	,	,	PUNCT
cana-1162	42	7	the	the	DET
cana-1162	42	8	weather	weather	NOUN
cana-1162	42	9	is	be	AUX
cana-1162	42	10	characterized	characterize	VERB
cana-1162	42	11	by	by	ADP
cana-1162	42	12	hot	hot	ADJ
cana-1162	42	13	summers	summer	NOUN
cana-1162	42	14	and	and	CCONJ
cana-1162	42	15	mild	mild	ADJ
cana-1162	42	16	winters	winter	NOUN
cana-1162	42	17	due	due	ADP
cana-1162	42	18	to	to	ADP
cana-1162	42	19	its	its	PRON
cana-1162	42	20	desert	desert	NOUN
cana-1162	42	21	climate	climate	NOUN
cana-1162	42	22	.	.	PUNCT
cana-1162	43	1	the	the	DET
cana-1162	43	2	airport	airport	NOUN
cana-1162	43	3	average	average	ADJ
cana-1162	43	4	temperature	temperature	NOUN
cana-1162	43	5	fluctuates	fluctuate	NOUN
cana-1162	43	6	occasionally	occasionally	ADV
cana-1162	43	7	,	,	PUNCT
cana-1162	43	8	falling	fall	VERB
cana-1162	43	9	within	within	ADP
cana-1162	43	10	a	a	DET
cana-1162	43	11	range	range	NOUN
cana-1162	43	12	of	of	ADP
cana-1162	43	13	16	16	NUM
cana-1162	43	14	°	°	NOUN
cana-1162	43	15	c	c	NOUN
cana-1162	43	16	to	to	ADP
cana-1162	43	17	28	28	NUM
cana-1162	43	18	°	°	NOUN
cana-1162	43	19	c	c	NOUN
cana-1162	43	20	.	.	PUNCT
cana-1162	44	1	typically	typically	ADV
cana-1162	44	2	,	,	PUNCT
cana-1162	44	3	the	the	DET
cana-1162	44	4	wind	wind	NOUN
cana-1162	44	5	velocity	velocity	NOUN
cana-1162	44	6	at	at	ADP
cana-1162	44	7	the	the	DET
cana-1162	44	8	airport	airport	NOUN
cana-1162	44	9	is	be	AUX
cana-1162	44	10	moderate	moderate	ADJ
cana-1162	44	11	,	,	PUNCT
cana-1162	44	12	reaching	reach	VERB
cana-1162	44	13	an	an	DET
cana-1162	44	14	average	average	ADJ
cana-1162	44	15	speed	speed	NOUN
cana-1162	44	16	of	of	ADP
cana-1162	44	17	11	11	NUM
cana-1162	44	18	km	km	PROPN
cana-1162	44	19	/	/	SYM
cana-1162	44	20	h.	h.	PROPN
cana-1162	44	21	•	•	PROPN
cana-1162	44	22	king	king	PROPN
cana-1162	44	23	abdulaziz	abdulaziz	PROPN
cana-1162	44	24	international	international	PROPN
cana-1162	44	25	airport	airport	PROPN
cana-1162	44	26	(	(	PUNCT
cana-1162	44	27	kaia	kaia	PROPN
cana-1162	44	28	)	)	PUNCT
cana-1162	44	29	,	,	PUNCT
cana-1162	44	30	located	locate	VERB
cana-1162	44	31	in	in	ADP
cana-1162	44	32	jeddah	jeddah	PROPN
cana-1162	44	33	,	,	PUNCT
cana-1162	44	34	saudi	saudi	PROPN
cana-1162	44	35	arabia	arabia	PROPN
cana-1162	44	36	,	,	PUNCT
cana-1162	44	37	acts	act	VERB
cana-1162	44	38	as	as	ADP
cana-1162	44	39	the	the	DET
cana-1162	44	40	entryway	entryway	NOUN
cana-1162	44	41	for	for	ADP
cana-1162	44	42	hajj	hajj	PROPN
cana-1162	44	43	and	and	CCONJ
cana-1162	44	44	umrah	umrah	PROPN
cana-1162	44	45	pilgrims	pilgrim	NOUN
cana-1162	44	46	on	on	ADP
cana-1162	44	47	their	their	PRON
cana-1162	44	48	journey	journey	NOUN
cana-1162	44	49	to	to	ADP
cana-1162	44	50	the	the	DET
cana-1162	44	51	holy	holy	PROPN
cana-1162	44	52	mosque	mosque	PROPN
cana-1162	44	53	in	in	ADP
cana-1162	44	54	mecca	mecca	PROPN
cana-1162	44	55	.	.	PUNCT
cana-1162	45	1	lying	lie	VERB
cana-1162	45	2	between	between	ADP
cana-1162	45	3	21	21	NUM
cana-1162	45	4	°	°	NUM
cana-1162	45	5	40′46″n	40′46″n	NUM
cana-1162	45	6	,	,	PUNCT
cana-1162	45	7	39	39	NUM
cana-1162	45	8	°	°	NUM
cana-1162	45	9	09′24″e	09′24″e	NOUN
cana-1162	45	10	latitude	latitude	NOUN
cana-1162	45	11	and	and	CCONJ
cana-1162	45	12	21	21	NUM
cana-1162	45	13	°	°	NUM
cana-1162	45	14	67′94″n	67′94″n	NUM
cana-1162	45	15	,	,	PUNCT
cana-1162	45	16	39	39	NUM
cana-1162	45	17	°	°	NUM
cana-1162	45	18	15′67″e	15′67″e	NOUN
cana-1162	45	19	longitude	longitude	NOUN
cana-1162	45	20	and	and	CCONJ
cana-1162	45	21	15	15	NUM
cana-1162	45	22	m	m	NOUN
cana-1162	45	23	above	above	ADP
cana-1162	45	24	sea	sea	NOUN
cana-1162	45	25	level	level	NOUN
cana-1162	45	26	(	(	PUNCT
cana-1162	45	27	wali	wali	PROPN
cana-1162	45	28	et	et	PROPN
cana-1162	45	29	al	al	PROPN
cana-1162	45	30	.	.	PROPN
cana-1162	45	31	,	,	PUNCT
cana-1162	45	32	2021	2021	NUM
cana-1162	45	33	)	)	PUNCT
cana-1162	45	34	.	.	PUNCT
cana-1162	46	1	in	in	ADP
cana-1162	46	2	jeddah	jeddah	PROPN
cana-1162	46	3	,	,	PUNCT
cana-1162	46	4	there	there	PRON
cana-1162	46	5	is	be	VERB
cana-1162	46	6	a	a	DET
cana-1162	46	7	hot	hot	ADJ
cana-1162	46	8	desert	desert	NOUN
cana-1162	46	9	climate	climate	NOUN
cana-1162	46	10	marked	mark	VERB
cana-1162	46	11	by	by	ADP
cana-1162	46	12	temperatures	temperature	NOUN
cana-1162	46	13	ranging	range	VERB
cana-1162	46	14	from	from	ADP
cana-1162	46	15	16	16	NUM
cana-1162	46	16	°	°	ADP
cana-1162	46	17	c	c	NOUN
cana-1162	46	18	to	to	ADP
cana-1162	46	19	28	28	NUM
cana-1162	46	20	°	°	NOUN
cana-1162	46	21	c	c	NOUN
cana-1162	46	22	,	,	PUNCT
cana-1162	46	23	occasional	occasional	ADJ
cana-1162	46	24	shifts	shift	NOUN
cana-1162	46	25	in	in	ADP
cana-1162	46	26	weather	weather	NOUN
cana-1162	46	27	patterns	pattern	NOUN
cana-1162	46	28	,	,	PUNCT
cana-1162	46	29	and	and	CCONJ
cana-1162	46	30	scarce	scarce	ADJ
cana-1162	46	31	rainfall	rainfall	NOUN
cana-1162	46	32	.	.	PUNCT
cana-1162	47	1	in	in	ADP
cana-1162	47	2	terms	term	NOUN
cana-1162	47	3	of	of	ADP
cana-1162	47	4	wind	wind	NOUN
cana-1162	47	5	speed	speed	NOUN
cana-1162	47	6	,	,	PUNCT
cana-1162	47	7	june	june	PROPN
cana-1162	47	8	holds	hold	VERB
cana-1162	47	9	the	the	DET
cana-1162	47	10	title	title	NOUN
cana-1162	47	11	for	for	ADP
cana-1162	47	12	being	be	AUX
cana-1162	47	13	the	the	DET
cana-1162	47	14	windiest	windy	ADJ
cana-1162	47	15	month	month	NOUN
cana-1162	47	16	with	with	ADP
cana-1162	47	17	an	an	DET
cana-1162	47	18	average	average	NOUN
cana-1162	47	19	of	of	ADP
cana-1162	47	20	23.4	23.4	NUM
cana-1162	47	21	km	km	NOUN
cana-1162	47	22	/	/	SYM
cana-1162	47	23	h	h	NOUN
cana-1162	47	24	;	;	PUNCT
cana-1162	47	25	on	on	ADP
cana-1162	47	26	the	the	DET
cana-1162	47	27	other	other	ADJ
cana-1162	47	28	hand	hand	NOUN
cana-1162	47	29	,	,	PUNCT
cana-1162	47	30	october	october	PROPN
cana-1162	47	31	takes	take	VERB
cana-1162	47	32	the	the	DET
cana-1162	47	33	crown	crown	NOUN
cana-1162	47	34	for	for	ADP
cana-1162	47	35	being	be	AUX
cana-1162	47	36	the	the	DET
cana-1162	47	37	calmest	calm	ADJ
cana-1162	47	38	month	month	NOUN
cana-1162	47	39	with	with	ADP
cana-1162	47	40	an	an	DET
cana-1162	47	41	average	average	ADJ
cana-1162	47	42	wind	wind	NOUN
cana-1162	47	43	speed	speed	NOUN
cana-1162	47	44	of	of	ADP
cana-1162	47	45	16.3	16.3	NUM
cana-1162	47	46	km	km	PROPN
cana-1162	47	47	/	/	SYM
cana-1162	47	48	h.	h.	PROPN
cana-1162	47	49	for	for	ADP
cana-1162	47	50	developing	develop	VERB
cana-1162	47	51	the	the	DET
cana-1162	47	52	models	model	NOUN
cana-1162	47	53	,	,	PUNCT
cana-1162	47	54	we	we	PRON
cana-1162	47	55	divided	divide	VERB
cana-1162	47	56	the	the	DET
cana-1162	47	57	mws	mws	NOUN
cana-1162	47	58	data	data	NOUN
cana-1162	47	59	sets	set	NOUN
cana-1162	47	60	into	into	ADP
cana-1162	47	61	two	two	NUM
cana-1162	47	62	parts	part	NOUN
cana-1162	47	63	:	:	PUNCT
cana-1162	47	64	80	80	NUM
cana-1162	47	65	%	%	NOUN
cana-1162	47	66	for	for	ADP
cana-1162	47	67	training	training	NOUN
cana-1162	47	68	(	(	PUNCT
cana-1162	47	69	2021	2021	NUM
cana-1162	47	70	to	to	ADP
cana-1162	47	71	2023	2023	NUM
cana-1162	47	72	may	may	AUX
cana-1162	47	73	)	)	PUNCT
cana-1162	47	74	and	and	CCONJ
cana-1162	47	75	20	20	NUM
cana-1162	47	76	%	%	NOUN
cana-1162	47	77	for	for	ADP
cana-1162	47	78	testing	testing	NOUN
cana-1162	47	79	(	(	PUNCT
cana-1162	47	80	2023	2023	NUM
cana-1162	47	81	may	may	AUX
cana-1162	47	82	to	to	ADP
cana-1162	47	83	2023	2023	NUM
cana-1162	47	84	dec	dec	PROPN
cana-1162	47	85	)	)	PUNCT
cana-1162	47	86	.	.	PUNCT
cana-1162	48	1	fig	fig	NOUN
cana-1162	48	2	.	.	PUNCT
cana-1162	49	1	1	1	NUM
cana-1162	49	2	study	study	NOUN
cana-1162	49	3	region	region	NOUN
cana-1162	49	4	king	king	PROPN
cana-1162	49	5	khalid	khalid	PROPN
cana-1162	49	6	,	,	PUNCT
cana-1162	49	7	king	king	PROPN
cana-1162	49	8	fahd	fahd	PROPN
cana-1162	49	9	,	,	PUNCT
cana-1162	49	10	and	and	CCONJ
cana-1162	49	11	king	king	PROPN
cana-1162	49	12	abdulaziz	abdulaziz	PROPN
cana-1162	49	13	international	international	PROPN
cana-1162	49	14	airports	airport	NOUN
cana-1162	49	15	communications	communication	NOUN
cana-1162	49	16	on	on	ADP
cana-1162	49	17	applied	apply	VERB
cana-1162	49	18	nonlinear	nonlinear	ADJ
cana-1162	49	19	analysis	analysis	NOUN
cana-1162	49	20	issn	issn	NOUN
cana-1162	49	21	:	:	PUNCT
cana-1162	49	22	1074	1074	NUM
cana-1162	49	23	-	-	PUNCT
cana-1162	49	24	133x	133x	NUM
cana-1162	49	25	vol	vol	NOUN
cana-1162	49	26	31	31	NUM
cana-1162	49	27	no	no	NOUN
cana-1162	49	28	.	.	PUNCT
cana-1162	50	1	6s	6s	NUM
cana-1162	50	2	(	(	PUNCT
cana-1162	50	3	2024	2024	NUM
cana-1162	50	4	)	)	PUNCT
cana-1162	50	5	84	84	NUM
cana-1162	50	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1162	50	7	in	in	ADP
cana-1162	50	8	this	this	DET
cana-1162	50	9	research	research	NOUN
cana-1162	50	10	,	,	PUNCT
cana-1162	50	11	we	we	PRON
cana-1162	50	12	selected	select	VERB
cana-1162	50	13	international	international	ADJ
cana-1162	50	14	airports	airport	NOUN
cana-1162	50	15	king	king	PROPN
cana-1162	50	16	khalid	khalid	PROPN
cana-1162	50	17	,	,	PUNCT
cana-1162	50	18	king	king	PROPN
cana-1162	50	19	fahd	fahd	PROPN
cana-1162	50	20	,	,	PUNCT
cana-1162	50	21	and	and	CCONJ
cana-1162	50	22	king	king	NOUN
cana-1162	50	23	for	for	ADP
cana-1162	50	24	evaluating	evaluate	VERB
cana-1162	50	25	the	the	DET
cana-1162	50	26	developed	develop	VERB
cana-1162	50	27	models	model	NOUN
cana-1162	50	28	implementing	implement	VERB
cana-1162	50	29	daily	daily	ADJ
cana-1162	50	30	mws	mws	NOUN
cana-1162	50	31	data	datum	NOUN
cana-1162	50	32	with	with	ADP
cana-1162	50	33	low	low	ADJ
cana-1162	50	34	and	and	CCONJ
cana-1162	50	35	high	high	ADJ
cana-1162	50	36	variations	variation	NOUN
cana-1162	50	37	.	.	PUNCT
cana-1162	51	1	the	the	DET
cana-1162	51	2	wind	wind	NOUN
cana-1162	51	3	speed	speed	NOUN
cana-1162	51	4	records	record	NOUN
cana-1162	51	5	from	from	ADP
cana-1162	51	6	the	the	DET
cana-1162	51	7	year	year	NOUN
cana-1162	51	8	2021	2021	NUM
cana-1162	51	9	to	to	ADP
cana-1162	51	10	2023	2023	NUM
cana-1162	51	11	at	at	ADP
cana-1162	51	12	these	these	DET
cana-1162	51	13	airports	airport	NOUN
cana-1162	51	14	were	be	AUX
cana-1162	51	15	acquired	acquire	VERB
cana-1162	51	16	from	from	ADP
cana-1162	51	17	the	the	DET
cana-1162	51	18	mathematica	mathematica	PROPN
cana-1162	51	19	database	database	PROPN
cana-1162	51	20	.	.	PUNCT
cana-1162	52	1	table	table	NOUN
cana-1162	52	2	1	1	NUM
cana-1162	52	3	displays	display	VERB
cana-1162	52	4	the	the	DET
cana-1162	52	5	statistical	statistical	ADJ
cana-1162	52	6	measures	measure	NOUN
cana-1162	52	7	of	of	ADP
cana-1162	52	8	the	the	DET
cana-1162	52	9	collected	collect	VERB
cana-1162	52	10	mws	mws	NOUN
cana-1162	52	11	data	datum	NOUN
cana-1162	52	12	for	for	ADP
cana-1162	52	13	kkia	kkia	PROPN
cana-1162	52	14	,	,	PUNCT
cana-1162	52	15	kfia	kfia	PROPN
cana-1162	52	16	,	,	PUNCT
cana-1162	52	17	and	and	CCONJ
cana-1162	52	18	kaia	kaia	PROPN
cana-1162	52	19	,	,	PUNCT
cana-1162	52	20	exposing	expose	VERB
cana-1162	52	21	dissimilarity	dissimilarity	NOUN
cana-1162	52	22	in	in	ADP
cana-1162	52	23	their	their	PRON
cana-1162	52	24	statistical	statistical	ADJ
cana-1162	52	25	characteristics	characteristic	NOUN
cana-1162	52	26	.	.	PUNCT
cana-1162	53	1	in	in	ADP
cana-1162	53	2	fig	fig	NOUN
cana-1162	53	3	.	.	PUNCT
cana-1162	54	1	2	2	NUM
cana-1162	54	2	,	,	PUNCT
cana-1162	54	3	the	the	DET
cana-1162	54	4	daily	daily	ADJ
cana-1162	54	5	mws	mws	NOUN
cana-1162	54	6	values	value	NOUN
cana-1162	54	7	measured	measure	VERB
cana-1162	54	8	can	can	AUX
cana-1162	54	9	be	be	AUX
cana-1162	54	10	seen	see	VERB
cana-1162	54	11	across	across	ADP
cana-1162	54	12	2021	2021	NUM
cana-1162	54	13	-	-	SYM
cana-1162	54	14	2023	2023	NUM
cana-1162	54	15	.	.	PUNCT
cana-1162	55	1	table	table	NOUN
cana-1162	55	2	1	1	NUM
cana-1162	55	3	.	.	PUNCT
cana-1162	56	1	statistical	statistical	ADJ
cana-1162	56	2	characteristics	characteristic	NOUN
cana-1162	56	3	of	of	ADP
cana-1162	56	4	data	datum	NOUN
cana-1162	56	5	station	station	NOUN
cana-1162	56	6	statistical	statistical	ADJ
cana-1162	56	7	characteristics	characteristic	NOUN
cana-1162	56	8	max	max	PROPN
cana-1162	56	9	wind	wind	NOUN
cana-1162	56	10	speed	speed	NOUN
cana-1162	56	11	(	(	PUNCT
cana-1162	56	12	km	km	NOUN
cana-1162	56	13	/	/	SYM
cana-1162	56	14	h	h	NOUN
cana-1162	56	15	)	)	PUNCT
cana-1162	56	16	min	min	NOUN
cana-1162	56	17	5.37	5.37	NUM
cana-1162	56	18	median	median	NOUN
cana-1162	56	19	18.33	18.33	NUM
cana-1162	56	20	max	max	PROPN
cana-1162	56	21	51.86	51.86	NUM
cana-1162	56	22	king	king	PROPN
cana-1162	56	23	khalid	khalid	PROPN
cana-1162	56	24	airport	airport	PROPN
cana-1162	56	25	mean	mean	VERB
cana-1162	56	26	19.09875	19.09875	NUM
cana-1162	56	27	variance	variance	NOUN
cana-1162	56	28	50.70102	50.70102	NUM
cana-1162	56	29	skewness	skewness	NOUN
cana-1162	56	30	0.806569	0.806569	NUM
cana-1162	56	31	count	count	NOUN
cana-1162	56	32	1088	1088	NUM
cana-1162	56	33	min	min	NOUN
cana-1162	56	34	5.37	5.37	NUM
cana-1162	56	35	median	median	NOUN
cana-1162	56	36	24.08	24.08	NUM
cana-1162	56	37	max	max	PROPN
cana-1162	56	38	62.97	62.97	NUM
cana-1162	56	39	king	king	PROPN
cana-1162	56	40	fahd	fahd	PROPN
cana-1162	56	41	airport	airport	PROPN
cana-1162	56	42	mean	mean	VERB
cana-1162	56	43	26.31383	26.31383	NUM
cana-1162	56	44	variance	variance	NOUN
cana-1162	56	45	76.25674	76.25674	NUM
cana-1162	56	46	skewness	skewness	NOUN
cana-1162	56	47	0.780272	0.780272	NUM
cana-1162	56	48	count	count	NOUN
cana-1162	56	49	1088	1088	NUM
cana-1162	56	50	min	min	NOUN
cana-1162	56	51	5.37	5.37	NUM
cana-1162	56	52	median	median	NOUN
cana-1162	56	53	22.22	22.22	NUM
cana-1162	56	54	king	king	NOUN
cana-1162	56	55	abdulaziz	abdulaziz	PROPN
cana-1162	56	56	airport	airport	PROPN
cana-1162	56	57	max	max	PROPN
cana-1162	56	58	61.12	61.12	NUM
cana-1162	56	59	mean	mean	NOUN
cana-1162	56	60	23.43877	23.43877	NUM
cana-1162	56	61	variance	variance	NOUN
cana-1162	56	62	36.48064	36.48064	NUM
cana-1162	56	63	skewness	skewness	NOUN
cana-1162	56	64	1.010757	1.010757	NUM
cana-1162	56	65	count	count	NOUN
cana-1162	56	66	1088	1088	NUM
cana-1162	56	67	communications	communication	NOUN
cana-1162	56	68	on	on	ADP
cana-1162	56	69	applied	apply	VERB
cana-1162	56	70	nonlinear	nonlinear	ADJ
cana-1162	56	71	analysis	analysis	NOUN
cana-1162	56	72	issn	issn	NOUN
cana-1162	56	73	:	:	PUNCT
cana-1162	56	74	1074	1074	NUM
cana-1162	56	75	-	-	PUNCT
cana-1162	56	76	133x	133x	NUM
cana-1162	56	77	vol	vol	NOUN
cana-1162	56	78	31	31	NUM
cana-1162	56	79	no	no	NOUN
cana-1162	56	80	.	.	PUNCT
cana-1162	57	1	6s	6s	NUM
cana-1162	57	2	(	(	PUNCT
cana-1162	57	3	2024	2024	NUM
cana-1162	57	4	)	)	PUNCT
cana-1162	57	5	85	85	NUM
cana-1162	57	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1162	57	7	fig	fig	NOUN
cana-1162	57	8	.	.	PUNCT
cana-1162	58	1	2	2	NUM
cana-1162	58	2	daily	daily	ADJ
cana-1162	58	3	max	max	NOUN
cana-1162	58	4	wind	wind	NOUN
cana-1162	58	5	speed	speed	NOUN
cana-1162	58	6	values	value	NOUN
cana-1162	58	7	in	in	ADP
cana-1162	58	8	the	the	DET
cana-1162	58	9	kkia	kkia	NOUN
cana-1162	58	10	(	(	PUNCT
cana-1162	58	11	a	a	NOUN
cana-1162	58	12	)	)	PUNCT
cana-1162	58	13	,	,	PUNCT
cana-1162	58	14	kfia	kfia	PROPN
cana-1162	58	15	(	(	PUNCT
cana-1162	58	16	b	b	NOUN
cana-1162	58	17	)	)	PUNCT
cana-1162	58	18	,	,	PUNCT
cana-1162	58	19	and	and	CCONJ
cana-1162	58	20	kaia	kaia	PROPN
cana-1162	58	21	(	(	PUNCT
cana-1162	58	22	c	c	NOUN
cana-1162	58	23	)	)	PUNCT
cana-1162	58	24	period	period	NOUN
cana-1162	58	25	of	of	ADP
cana-1162	58	26	2021	2021	NUM
cana-1162	58	27	-	-	SYM
cana-1162	58	28	2023	2023	NUM
cana-1162	58	29	2.2	2.2	NUM
cana-1162	58	30	.	.	PUNCT
cana-1162	59	1	selection	selection	NOUN
cana-1162	59	2	of	of	ADP
cana-1162	59	3	artificial	artificial	ADJ
cana-1162	59	4	intelligence	intelligence	NOUN
cana-1162	59	5	time	time	NOUN
cana-1162	59	6	series	series	PROPN
cana-1162	59	7	forecasting	forecasting	PROPN
cana-1162	59	8	model	model	NOUN
cana-1162	59	9	2.2.1	2.2.1	NUM
cana-1162	59	10	.	.	PUNCT
cana-1162	60	1	artificial	artificial	ADJ
cana-1162	60	2	neural	neural	ADJ
cana-1162	60	3	network	network	NOUN
cana-1162	60	4	(	(	PUNCT
cana-1162	60	5	ann	ann	PROPN
cana-1162	60	6	)	)	PUNCT
cana-1162	60	7	one	one	NUM
cana-1162	60	8	of	of	ADP
cana-1162	60	9	the	the	DET
cana-1162	60	10	supervised	supervised	ADJ
cana-1162	60	11	machine	machine	NOUN
cana-1162	60	12	learning	learning	NOUN
cana-1162	60	13	models	model	NOUN
cana-1162	60	14	,	,	PUNCT
cana-1162	60	15	ann	ann	PROPN
cana-1162	60	16	,	,	PUNCT
cana-1162	60	17	falls	fall	VERB
cana-1162	60	18	under	under	ADP
cana-1162	60	19	the	the	DET
cana-1162	60	20	category	category	NOUN
cana-1162	60	21	of	of	ADP
cana-1162	60	22	artificial	artificial	ADJ
cana-1162	60	23	intelligence	intelligence	NOUN
cana-1162	60	24	.	.	PUNCT
cana-1162	61	1	artificial	artificial	ADJ
cana-1162	61	2	neural	neural	ADJ
cana-1162	61	3	networks	network	NOUN
cana-1162	61	4	have	have	AUX
cana-1162	61	5	been	be	AUX
cana-1162	61	6	created	create	VERB
cana-1162	61	7	to	to	PART
cana-1162	61	8	generalize	generalize	VERB
cana-1162	61	9	mathematical	mathematical	ADJ
cana-1162	61	10	models	model	NOUN
cana-1162	61	11	of	of	ADP
cana-1162	61	12	biological	biological	ADJ
cana-1162	61	13	nervous	nervous	ADJ
cana-1162	61	14	systems	system	NOUN
cana-1162	61	15	and	and	CCONJ
cana-1162	61	16	the	the	DET
cana-1162	61	17	advent	advent	NOUN
cana-1162	61	18	of	of	ADP
cana-1162	61	19	simplified	simplified	ADJ
cana-1162	61	20	neurons	neuron	NOUN
cana-1162	61	21	by	by	ADP
cana-1162	61	22	mcculloch	mcculloch	NOUN
cana-1162	61	23	and	and	CCONJ
cana-1162	61	24	pitts	pitt	NOUN
cana-1162	61	25	(	(	PUNCT
cana-1162	61	26	1943	1943	NUM
cana-1162	61	27	)	)	PUNCT
cana-1162	61	28	sparked	spark	VERB
cana-1162	61	29	the	the	DET
cana-1162	61	30	initial	initial	ADJ
cana-1162	61	31	fascination	fascination	NOUN
cana-1162	61	32	with	with	ADP
cana-1162	61	33	neural	neural	ADJ
cana-1162	61	34	networks	network	NOUN
cana-1162	61	35	(	(	PUNCT
cana-1162	61	36	abraham	abraham	PROPN
cana-1162	61	37	.	.	PROPN
cana-1162	61	38	,	,	PUNCT
cana-1162	61	39	2005	2005	NUM
cana-1162	61	40	)	)	PUNCT
cana-1162	61	41	.	.	PUNCT
cana-1162	62	1	the	the	DET
cana-1162	62	2	brain	brain	NOUN
cana-1162	62	3	serves	serve	VERB
cana-1162	62	4	as	as	ADP
cana-1162	62	5	the	the	DET
cana-1162	62	6	inspiration	inspiration	NOUN
cana-1162	62	7	for	for	ADP
cana-1162	62	8	these	these	DET
cana-1162	62	9	computer	computer	NOUN
cana-1162	62	10	-	-	PUNCT
cana-1162	62	11	based	base	VERB
cana-1162	62	12	problem	problem	NOUN
cana-1162	62	13	-	-	PUNCT
cana-1162	62	14	solving	solve	VERB
cana-1162	62	15	tools	tool	NOUN
cana-1162	62	16	,	,	PUNCT
cana-1162	62	17	known	know	VERB
cana-1162	62	18	as	as	ADP
cana-1162	62	19	biological	biological	ADJ
cana-1162	62	20	neural	neural	ADJ
cana-1162	62	21	networks	network	NOUN
cana-1162	62	22	(	(	PUNCT
cana-1162	62	23	tran	tran	PROPN
cana-1162	62	24	et	et	PROPN
cana-1162	62	25	al	al	PROPN
cana-1162	62	26	.	.	PROPN
cana-1162	62	27	,	,	PUNCT
cana-1162	62	28	2021	2021	NUM
cana-1162	62	29	)	)	PUNCT
cana-1162	62	30	.	.	PUNCT
cana-1162	63	1	anns	anns	PROPN
cana-1162	63	2	are	be	AUX
cana-1162	63	3	particularly	particularly	ADV
cana-1162	63	4	well	well	ADV
cana-1162	63	5	suited	suited	ADJ
cana-1162	63	6	for	for	ADP
cana-1162	63	7	tackling	tackle	VERB
cana-1162	63	8	complex	complex	ADJ
cana-1162	63	9	,	,	PUNCT
cana-1162	63	10	real	real	ADJ
cana-1162	63	11	-	-	PUNCT
cana-1162	63	12	world	world	NOUN
cana-1162	63	13	issues	issue	NOUN
cana-1162	63	14	like	like	ADP
cana-1162	63	15	comprehending	comprehending	ADJ
cana-1162	63	16	climate	climate	NOUN
cana-1162	63	17	due	due	ADP
cana-1162	63	18	to	to	ADP
cana-1162	63	19	their	their	PRON
cana-1162	63	20	capacity	capacity	NOUN
cana-1162	63	21	to	to	PART
cana-1162	63	22	generate	generate	VERB
cana-1162	63	23	non	non	ADJ
cana-1162	63	24	-	-	ADJ
cana-1162	63	25	linear	linear	ADJ
cana-1162	63	26	mappings	mapping	NOUN
cana-1162	63	27	during	during	ADP
cana-1162	63	28	training	training	NOUN
cana-1162	63	29	(	(	PUNCT
cana-1162	63	30	elsner	elsner	NOUN
cana-1162	63	31	&	&	CCONJ
cana-1162	63	32	tsonis	tsonis	PROPN
cana-1162	63	33	,	,	PUNCT
cana-1162	63	34	1992	1992	NUM
cana-1162	63	35	)	)	PUNCT
cana-1162	63	36	.	.	PUNCT
cana-1162	64	1	in	in	ADP
cana-1162	64	2	an	an	DET
cana-1162	64	3	ann	ann	PROPN
cana-1162	64	4	model	model	NOUN
cana-1162	64	5	,	,	PUNCT
cana-1162	64	6	there	there	PRON
cana-1162	64	7	are	be	VERB
cana-1162	64	8	three	three	NUM
cana-1162	64	9	layers	layer	NOUN
cana-1162	64	10	:	:	PUNCT
cana-1162	64	11	the	the	DET
cana-1162	64	12	input	input	NOUN
cana-1162	64	13	layer	layer	NOUN
cana-1162	64	14	,	,	PUNCT
cana-1162	64	15	hidden	hide	VERB
cana-1162	64	16	layer	layer	NOUN
cana-1162	64	17	,	,	PUNCT
cana-1162	64	18	and	and	CCONJ
cana-1162	64	19	output	output	NOUN
cana-1162	64	20	layer	layer	NOUN
cana-1162	64	21	.	.	PUNCT
cana-1162	65	1	neurons	neuron	NOUN
cana-1162	65	2	within	within	ADP
cana-1162	65	3	each	each	DET
cana-1162	65	4	layer	layer	NOUN
cana-1162	65	5	are	be	AUX
cana-1162	65	6	connected	connect	VERB
cana-1162	65	7	to	to	ADP
cana-1162	65	8	all	all	DET
cana-1162	65	9	neurons	neuron	NOUN
cana-1162	65	10	in	in	ADP
cana-1162	65	11	other	other	ADJ
cana-1162	65	12	layers	layer	NOUN
cana-1162	65	13	.	.	PUNCT
cana-1162	66	1	anns	anns	PROPN
cana-1162	66	2	possess	possess	VERB
cana-1162	66	3	the	the	DET
cana-1162	66	4	capability	capability	NOUN
cana-1162	66	5	to	to	PART
cana-1162	66	6	adjust	adjust	VERB
cana-1162	66	7	to	to	ADP
cana-1162	66	8	shifting	shift	VERB
cana-1162	66	9	data	datum	NOUN
cana-1162	66	10	patterns	pattern	NOUN
cana-1162	66	11	and	and	CCONJ
cana-1162	66	12	acquire	acquire	VERB
cana-1162	66	13	new	new	ADJ
cana-1162	66	14	information	information	NOUN
cana-1162	66	15	,	,	PUNCT
cana-1162	66	16	thereby	thereby	ADV
cana-1162	66	17	making	make	VERB
cana-1162	66	18	them	they	PRON
cana-1162	66	19	highly	highly	ADV
cana-1162	66	20	appropriate	appropriate	ADJ
cana-1162	66	21	for	for	ADP
cana-1162	66	22	dynamic	dynamic	ADJ
cana-1162	66	23	forecasting	forecasting	NOUN
cana-1162	66	24	environments	environment	NOUN
cana-1162	66	25	and	and	CCONJ
cana-1162	66	26	can	can	AUX
cana-1162	66	27	handle	handle	VERB
cana-1162	66	28	noisy	noisy	ADJ
cana-1162	66	29	or	or	CCONJ
cana-1162	66	30	incomplete	incomplete	ADJ
cana-1162	66	31	data	datum	NOUN
cana-1162	66	32	more	more	ADV
cana-1162	66	33	effectively	effectively	ADV
cana-1162	66	34	than	than	ADP
cana-1162	66	35	traditional	traditional	ADJ
cana-1162	66	36	models	model	NOUN
cana-1162	66	37	,	,	PUNCT
cana-1162	66	38	leading	lead	VERB
cana-1162	66	39	to	to	ADP
cana-1162	66	40	more	more	ADV
cana-1162	66	41	reliable	reliable	ADJ
cana-1162	66	42	forecasts	forecast	NOUN
cana-1162	66	43	(	(	PUNCT
cana-1162	66	44	wu	wu	PROPN
cana-1162	66	45	&	&	CCONJ
cana-1162	66	46	feng	feng	PROPN
cana-1162	66	47	,	,	PUNCT
cana-1162	66	48	2018	2018	NUM
cana-1162	66	49	;	;	PUNCT
cana-1162	66	50	zhang	zhang	PROPN
cana-1162	66	51	et	et	PROPN
cana-1162	66	52	al	al	PROPN
cana-1162	66	53	.	.	PROPN
cana-1162	66	54	,	,	PUNCT
cana-1162	66	55	1998	1998	NUM
cana-1162	66	56	)	)	PUNCT
cana-1162	66	57	.	.	PUNCT
cana-1162	67	1	the	the	DET
cana-1162	67	2	representation	representation	NOUN
cana-1162	67	3	of	of	ADP
cana-1162	67	4	the	the	DET
cana-1162	67	5	relationship	relationship	NOUN
cana-1162	67	6	between	between	ADP
cana-1162	67	7	input	input	NOUN
cana-1162	67	8	(	(	PUNCT
cana-1162	67	9	x	x	NOUN
cana-1162	67	10	)	)	PUNCT
cana-1162	67	11	and	and	CCONJ
cana-1162	67	12	output	output	NOUN
cana-1162	67	13	(	(	PUNCT
cana-1162	67	14	y	y	NOUN
cana-1162	67	15	)	)	PUNCT
cana-1162	67	16	in	in	ADP
cana-1162	67	17	an	an	DET
cana-1162	67	18	ann	ann	PROPN
cana-1162	67	19	is	be	AUX
cana-1162	67	20	demonstrated	demonstrate	VERB
cana-1162	67	21	by	by	ADP
cana-1162	67	22	:	:	PUNCT
cana-1162	67	23	communications	communication	NOUN
cana-1162	67	24	on	on	ADP
cana-1162	67	25	applied	apply	VERB
cana-1162	67	26	nonlinear	nonlinear	ADJ
cana-1162	67	27	analysis	analysis	NOUN
cana-1162	67	28	issn	issn	NOUN
cana-1162	67	29	:	:	PUNCT
cana-1162	67	30	1074	1074	NUM
cana-1162	67	31	-	-	PUNCT
cana-1162	67	32	133x	133x	NUM
cana-1162	67	33	vol	vol	NOUN
cana-1162	67	34	31	31	NUM
cana-1162	67	35	no	no	NOUN
cana-1162	67	36	.	.	PUNCT
cana-1162	68	1	6s	6s	NUM
cana-1162	68	2	(	(	PUNCT
cana-1162	68	3	2024	2024	NUM
cana-1162	68	4	)	)	PUNCT
cana-1162	68	5	86	86	NUM
cana-1162	68	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1162	68	7	𝑌	𝑌	PROPN
cana-1162	68	8	=	=	PUNCT
cana-1162	68	9	𝑓(𝑊1𝑋1	𝑓(𝑊1𝑋1	NOUN
cana-1162	68	10	+	+	CCONJ
cana-1162	68	11	𝑊2𝑋2	𝑊2𝑋2	NOUN
cana-1162	68	12	+	+	CCONJ
cana-1162	68	13	⋯	⋯	X
cana-1162	68	14	+	+	CCONJ
cana-1162	69	1	𝑊𝑛	𝑊𝑛	PROPN
cana-1162	69	2	+	+	CCONJ
cana-1162	69	3	𝑏	𝑏	NOUN
cana-1162	69	4	)	)	PUNCT
cana-1162	69	5	(	(	PUNCT
cana-1162	69	6	1	1	X
cana-1162	69	7	)	)	PUNCT
cana-1162	69	8	the	the	DET
cana-1162	69	9	action	action	NOUN
cana-1162	69	10	function	function	NOUN
cana-1162	69	11	is	be	AUX
cana-1162	69	12	denoted	denote	VERB
cana-1162	69	13	by	by	ADP
cana-1162	69	14	f	f	PROPN
cana-1162	69	15	,	,	PUNCT
cana-1162	69	16	with	with	ADP
cana-1162	69	17	b	b	X
cana-1162	69	18	representing	represent	VERB
cana-1162	69	19	the	the	DET
cana-1162	69	20	bias	bias	NOUN
cana-1162	69	21	and	and	CCONJ
cana-1162	69	22	wi	wi	PROPN
cana-1162	69	23	standing	stand	VERB
cana-1162	69	24	for	for	ADP
cana-1162	69	25	the	the	DET
cana-1162	69	26	weight	weight	NOUN
cana-1162	69	27	of	of	ADP
cana-1162	69	28	the	the	DET
cana-1162	69	29	link	link	NOUN
cana-1162	69	30	.	.	PUNCT
cana-1162	70	1	the	the	DET
cana-1162	70	2	structure	structure	NOUN
cana-1162	70	3	of	of	ADP
cana-1162	70	4	an	an	DET
cana-1162	70	5	ann	ann	PROPN
cana-1162	70	6	model	model	NOUN
cana-1162	70	7	is	be	AUX
cana-1162	70	8	shown	show	VERB
cana-1162	70	9	in	in	ADP
cana-1162	70	10	fig	fig	NOUN
cana-1162	70	11	.	.	PUNCT
cana-1162	71	1	3	3	X
cana-1162	71	2	.	.	X
cana-1162	71	3	fig	fig	NOUN
cana-1162	71	4	.	.	PUNCT
cana-1162	72	1	3	3	NUM
cana-1162	72	2	presents	present	VERB
cana-1162	72	3	the	the	DET
cana-1162	72	4	structure	structure	NOUN
cana-1162	72	5	of	of	ADP
cana-1162	72	6	a	a	DET
cana-1162	72	7	common	common	ADJ
cana-1162	72	8	ann	ann	NOUN
cana-1162	72	9	model	model	NOUN
cana-1162	72	10	and	and	CCONJ
cana-1162	72	11	biological	biological	ADJ
cana-1162	72	12	neuron	neuron	NOUN
cana-1162	72	13	2.2.2	2.2.2	NUM
cana-1162	72	14	.	.	PUNCT
cana-1162	73	1	convolution	convolution	NOUN
cana-1162	73	2	neural	neural	ADJ
cana-1162	73	3	network	network	NOUN
cana-1162	73	4	(	(	PUNCT
cana-1162	73	5	cnn	cnn	PROPN
cana-1162	73	6	)	)	PUNCT
cana-1162	73	7	the	the	DET
cana-1162	73	8	network	network	NOUN
cana-1162	73	9	structures	structure	NOUN
cana-1162	73	10	of	of	ADP
cana-1162	73	11	convolutional	convolutional	ADJ
cana-1162	73	12	neural	neural	ADJ
cana-1162	73	13	networks	network	NOUN
cana-1162	73	14	(	(	PUNCT
cana-1162	73	15	cnns	cnns	PROPN
cana-1162	73	16	)	)	PUNCT
cana-1162	73	17	are	be	AUX
cana-1162	73	18	more	more	ADV
cana-1162	73	19	intricate	intricate	ADJ
cana-1162	73	20	,	,	PUNCT
cana-1162	73	21	granting	grant	VERB
cana-1162	73	22	them	they	PRON
cana-1162	73	23	more	more	ADV
cana-1162	73	24	powerful	powerful	ADJ
cana-1162	73	25	abilities	ability	NOUN
cana-1162	73	26	in	in	ADP
cana-1162	73	27	terms	term	NOUN
cana-1162	73	28	of	of	ADP
cana-1162	73	29	feature	feature	NOUN
cana-1162	73	30	learning	learning	NOUN
cana-1162	73	31	and	and	CCONJ
cana-1162	73	32	representation	representation	NOUN
cana-1162	73	33	compared	compare	VERB
cana-1162	73	34	to	to	ADP
cana-1162	73	35	traditional	traditional	ADJ
cana-1162	73	36	machine	machine	NOUN
cana-1162	73	37	learning	learning	NOUN
cana-1162	73	38	methods	method	NOUN
cana-1162	73	39	(	(	PUNCT
cana-1162	73	40	krizhevsky	krizhevsky	NOUN
cana-1162	73	41	et	et	PROPN
cana-1162	73	42	al	al	PROPN
cana-1162	73	43	.	.	PROPN
cana-1162	73	44	,	,	PUNCT
cana-1162	73	45	2012	2012	NUM
cana-1162	73	46	)	)	PUNCT
cana-1162	73	47	.	.	PUNCT
cana-1162	74	1	cnns	cnns	PROPN
cana-1162	74	2	acquire	acquire	VERB
cana-1162	74	3	feature	feature	NOUN
cana-1162	74	4	engineering	engineering	NOUN
cana-1162	74	5	autonomously	autonomously	ADV
cana-1162	74	6	using	use	VERB
cana-1162	74	7	filters	filter	NOUN
cana-1162	74	8	or	or	CCONJ
cana-1162	74	9	kernels	kernel	NOUN
cana-1162	74	10	and	and	CCONJ
cana-1162	74	11	are	be	AUX
cana-1162	74	12	composed	compose	VERB
cana-1162	74	13	of	of	ADP
cana-1162	74	14	several	several	ADJ
cana-1162	74	15	layers	layer	NOUN
cana-1162	74	16	,	,	PUNCT
cana-1162	74	17	including	include	VERB
cana-1162	74	18	the	the	DET
cana-1162	74	19	input	input	NOUN
cana-1162	74	20	layer	layer	NOUN
cana-1162	74	21	,	,	PUNCT
cana-1162	74	22	convolutional	convolutional	ADJ
cana-1162	74	23	layer	layer	NOUN
cana-1162	74	24	,	,	PUNCT
cana-1162	74	25	fully	fully	ADV
cana-1162	74	26	connected	connected	ADJ
cana-1162	74	27	layers	layer	NOUN
cana-1162	74	28	,	,	PUNCT
cana-1162	74	29	and	and	CCONJ
cana-1162	74	30	pooling	pool	VERB
cana-1162	74	31	layer	layer	NOUN
cana-1162	74	32	(	(	PUNCT
cana-1162	74	33	emmert	emmert	NOUN
cana-1162	74	34	-	-	PUNCT
cana-1162	74	35	streib	streib	PROPN
cana-1162	74	36	et	et	PROPN
cana-1162	74	37	al	al	PROPN
cana-1162	74	38	.	.	PROPN
cana-1162	74	39	,	,	PUNCT
cana-1162	74	40	2020	2020	NUM
cana-1162	74	41	)	)	PUNCT
cana-1162	74	42	.	.	PUNCT
cana-1162	75	1	the	the	DET
cana-1162	75	2	pooling	pool	VERB
cana-1162	75	3	layer	layer	NOUN
cana-1162	75	4	is	be	AUX
cana-1162	75	5	placed	place	VERB
cana-1162	75	6	between	between	ADP
cana-1162	75	7	successive	successive	ADJ
cana-1162	75	8	convolutional	convolutional	ADJ
cana-1162	75	9	layers	layer	NOUN
cana-1162	75	10	,	,	PUNCT
cana-1162	75	11	serving	serve	VERB
cana-1162	75	12	the	the	DET
cana-1162	75	13	purpose	purpose	NOUN
cana-1162	75	14	of	of	ADP
cana-1162	75	15	data	datum	NOUN
cana-1162	75	16	and	and	CCONJ
cana-1162	75	17	parameter	parameter	NOUN
cana-1162	75	18	compression	compression	NOUN
cana-1162	75	19	to	to	PART
cana-1162	75	20	mitigate	mitigate	VERB
cana-1162	75	21	overfitting	overfitting	NOUN
cana-1162	75	22	and	and	CCONJ
cana-1162	75	23	in	in	ADP
cana-1162	75	24	most	most	ADJ
cana-1162	75	25	cases	case	NOUN
cana-1162	75	26	,	,	PUNCT
cana-1162	75	27	the	the	DET
cana-1162	75	28	fully	fully	ADV
cana-1162	75	29	connected	connect	VERB
cana-1162	75	30	layer	layer	NOUN
cana-1162	75	31	resides	reside	VERB
cana-1162	75	32	at	at	ADP
cana-1162	75	33	the	the	DET
cana-1162	75	34	latter	latter	ADJ
cana-1162	75	35	part	part	NOUN
cana-1162	75	36	of	of	ADP
cana-1162	75	37	the	the	DET
cana-1162	75	38	convolutional	convolutional	ADJ
cana-1162	75	39	neural	neural	ADJ
cana-1162	75	40	network	network	NOUN
cana-1162	75	41	,	,	PUNCT
cana-1162	75	42	exhibiting	exhibit	VERB
cana-1162	75	43	similarities	similarity	NOUN
cana-1162	75	44	to	to	ADP
cana-1162	75	45	the	the	DET
cana-1162	75	46	connections	connection	NOUN
cana-1162	75	47	found	find	VERB
cana-1162	75	48	in	in	ADP
cana-1162	75	49	traditional	traditional	ADJ
cana-1162	75	50	neural	neural	ADJ
cana-1162	75	51	network	network	NOUN
cana-1162	75	52	neurons	neuron	NOUN
cana-1162	75	53	(	(	PUNCT
cana-1162	75	54	fukushima	fukushima	PROPN
cana-1162	75	55	et	et	PROPN
cana-1162	75	56	al	al	PROPN
cana-1162	75	57	.	.	PROPN
cana-1162	75	58	,	,	PUNCT
cana-1162	75	59	1980	1980	NUM
cana-1162	75	60	)	)	PUNCT
cana-1162	75	61	.	.	PUNCT
cana-1162	76	1	the	the	DET
cana-1162	76	2	structure	structure	NOUN
cana-1162	76	3	of	of	ADP
cana-1162	76	4	a	a	DET
cana-1162	76	5	cnn	cnn	PROPN
cana-1162	76	6	model	model	NOUN
cana-1162	76	7	is	be	AUX
cana-1162	76	8	presented	present	VERB
cana-1162	76	9	in	in	ADP
cana-1162	76	10	fig	fig	NOUN
cana-1162	76	11	.	.	PUNCT
cana-1162	77	1	4	4	X
cana-1162	77	2	.	.	X
cana-1162	77	3	fig	fig	NOUN
cana-1162	77	4	.	.	PUNCT
cana-1162	78	1	4	4	NUM
cana-1162	78	2	different	different	ADJ
cana-1162	78	3	layers	layer	NOUN
cana-1162	78	4	of	of	ADP
cana-1162	78	5	convolutional	convolutional	ADJ
cana-1162	78	6	neural	neural	ADJ
cana-1162	78	7	network	network	NOUN
cana-1162	78	8	for	for	ADP
cana-1162	78	9	prediction	prediction	NOUN
cana-1162	78	10	cnn	cnn	PROPN
cana-1162	78	11	has	have	VERB
cana-1162	78	12	the	the	DET
cana-1162	78	13	advantage	advantage	NOUN
cana-1162	78	14	of	of	ADP
cana-1162	78	15	utilizing	utilize	VERB
cana-1162	78	16	a	a	DET
cana-1162	78	17	shared	share	VERB
cana-1162	78	18	convolution	convolution	NOUN
cana-1162	78	19	kernel	kernel	NOUN
cana-1162	78	20	,	,	PUNCT
cana-1162	78	21	which	which	PRON
cana-1162	78	22	effectively	effectively	ADV
cana-1162	78	23	processes	process	VERB
cana-1162	78	24	high	high	ADJ
cana-1162	78	25	dimensional	dimensional	ADJ
cana-1162	78	26	data	datum	NOUN
cana-1162	78	27	,	,	PUNCT
cana-1162	78	28	automatically	automatically	ADV
cana-1162	78	29	extracts	extract	VERB
cana-1162	78	30	advanced	advanced	ADJ
cana-1162	78	31	features	feature	NOUN
cana-1162	78	32	,	,	PUNCT
cana-1162	78	33	and	and	CCONJ
cana-1162	78	34	reduces	reduce	VERB
cana-1162	78	35	the	the	DET
cana-1162	78	36	need	need	NOUN
cana-1162	78	37	for	for	ADP
cana-1162	78	38	manual	manual	ADJ
cana-1162	78	39	feature	feature	NOUN
cana-1162	78	40	engineering	engineering	NOUN
cana-1162	78	41	(	(	PUNCT
cana-1162	78	42	krizhevsky	krizhevsky	PROPN
cana-1162	78	43	et	et	PROPN
cana-1162	78	44	al	al	PROPN
cana-1162	78	45	.	.	PROPN
cana-1162	78	46	,	,	PUNCT
cana-1162	78	47	2012	2012	NUM
cana-1162	78	48	)	)	PUNCT
cana-1162	78	49	,	,	PUNCT
cana-1162	78	50	ultimately	ultimately	ADV
cana-1162	78	51	improving	improve	VERB
cana-1162	78	52	the	the	DET
cana-1162	78	53	accuracy	accuracy	NOUN
cana-1162	78	54	of	of	ADP
cana-1162	78	55	predicting	predict	VERB
cana-1162	78	56	maximum	maximum	ADJ
cana-1162	78	57	wind	wind	NOUN
cana-1162	78	58	speed	speed	NOUN
cana-1162	78	59	.	.	PUNCT
cana-1162	79	1	the	the	DET
cana-1162	79	2	flowchart	flowchart	NOUN
cana-1162	79	3	in	in	ADP
cana-1162	79	4	fig	fig	NOUN
cana-1162	79	5	5	5	NUM
cana-1162	79	6	demonstrates	demonstrate	VERB
cana-1162	79	7	the	the	DET
cana-1162	79	8	sequence	sequence	NOUN
cana-1162	79	9	of	of	ADP
cana-1162	79	10	actions	action	NOUN
cana-1162	79	11	involved	involve	VERB
cana-1162	79	12	in	in	ADP
cana-1162	79	13	creating	create	VERB
cana-1162	79	14	and	and	CCONJ
cana-1162	79	15	executing	execute	VERB
cana-1162	79	16	the	the	DET
cana-1162	79	17	ann	ann	PROPN
cana-1162	79	18	and	and	CCONJ
cana-1162	79	19	cnn	cnn	PROPN
cana-1162	79	20	models	model	NOUN
cana-1162	79	21	.	.	PUNCT
cana-1162	80	1	communications	communication	NOUN
cana-1162	80	2	on	on	ADP
cana-1162	80	3	applied	apply	VERB
cana-1162	80	4	nonlinear	nonlinear	ADJ
cana-1162	80	5	analysis	analysis	NOUN
cana-1162	80	6	issn	issn	NOUN
cana-1162	80	7	:	:	PUNCT
cana-1162	80	8	1074	1074	NUM
cana-1162	80	9	-	-	PUNCT
cana-1162	80	10	133x	133x	NUM
cana-1162	80	11	vol	vol	NOUN
cana-1162	80	12	31	31	NUM
cana-1162	80	13	no	no	NOUN
cana-1162	80	14	.	.	PUNCT
cana-1162	81	1	6s	6s	NUM
cana-1162	81	2	(	(	PUNCT
cana-1162	81	3	2024	2024	NUM
cana-1162	81	4	)	)	PUNCT
cana-1162	81	5	87	87	NUM
cana-1162	81	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1162	81	7	2.3	2.3	NUM
cana-1162	81	8	.	.	PUNCT
cana-1162	82	1	selection	selection	NOUN
cana-1162	82	2	of	of	ADP
cana-1162	82	3	a	a	DET
cana-1162	82	4	statistical	statistical	ADJ
cana-1162	82	5	time	time	NOUN
cana-1162	82	6	series	series	PROPN
cana-1162	82	7	forecasting	forecasting	PROPN
cana-1162	82	8	model	model	PROPN
cana-1162	82	9	2.3.1	2.3.1	NUM
cana-1162	82	10	.	.	PUNCT
cana-1162	83	1	arima	arima	PROPN
cana-1162	83	2	model	model	NOUN
cana-1162	83	3	the	the	DET
cana-1162	83	4	autoregressive	autoregressive	ADJ
cana-1162	83	5	integrated	integrated	ADJ
cana-1162	83	6	moving	move	VERB
cana-1162	83	7	average	average	ADJ
cana-1162	83	8	(	(	PUNCT
cana-1162	83	9	arima	arima	PROPN
cana-1162	83	10	)	)	PUNCT
cana-1162	83	11	model	model	NOUN
cana-1162	83	12	is	be	AUX
cana-1162	83	13	renowned	renowned	ADJ
cana-1162	83	14	for	for	ADP
cana-1162	83	15	its	its	PRON
cana-1162	83	16	effectiveness	effectiveness	NOUN
cana-1162	83	17	in	in	ADP
cana-1162	83	18	time	time	NOUN
cana-1162	83	19	series	series	NOUN
cana-1162	83	20	analysis	analysis	NOUN
cana-1162	83	21	and	and	CCONJ
cana-1162	83	22	forecasting	forecasting	NOUN
cana-1162	83	23	tasks	task	NOUN
cana-1162	83	24	.	.	PUNCT
cana-1162	84	1	an	an	DET
cana-1162	84	2	effective	effective	ADJ
cana-1162	84	3	method	method	NOUN
cana-1162	84	4	for	for	ADP
cana-1162	84	5	modeling	modeling	NOUN
cana-1162	84	6	and	and	CCONJ
cana-1162	84	7	forecasting	forecasting	NOUN
cana-1162	84	8	time	time	NOUN
cana-1162	84	9	series	series	PROPN
cana-1162	84	10	data	datum	NOUN
cana-1162	84	11	with	with	ADP
cana-1162	84	12	temporal	temporal	ADJ
cana-1162	84	13	correlation	correlation	NOUN
cana-1162	84	14	is	be	AUX
cana-1162	84	15	the	the	DET
cana-1162	84	16	arima	arima	PROPN
cana-1162	84	17	model	model	NOUN
cana-1162	84	18	,	,	PUNCT
cana-1162	84	19	commonly	commonly	ADV
cana-1162	84	20	referred	refer	VERB
cana-1162	84	21	to	to	ADP
cana-1162	84	22	as	as	SCONJ
cana-1162	84	23	the	the	DET
cana-1162	84	24	boxjenkins	boxjenkin	NOUN
cana-1162	84	25	method	method	VERB
cana-1162	84	26	after	after	ADP
cana-1162	84	27	its	its	PRON
cana-1162	84	28	creators	creator	NOUN
cana-1162	84	29	in	in	ADP
cana-1162	84	30	1970	1970	NUM
cana-1162	84	31	(	(	PUNCT
cana-1162	84	32	box	box	NOUN
cana-1162	84	33	and	and	CCONJ
cana-1162	84	34	jenkins	jenkin	NOUN
cana-1162	84	35	,	,	PUNCT
cana-1162	84	36	1970	1970	NUM
cana-1162	84	37	)	)	PUNCT
cana-1162	84	38	.	.	PUNCT
cana-1162	85	1	by	by	ADP
cana-1162	85	2	applying	apply	VERB
cana-1162	85	3	differencing	differencing	NOUN
cana-1162	85	4	techniques	technique	NOUN
cana-1162	85	5	,	,	PUNCT
cana-1162	85	6	arima	arima	NOUN
cana-1162	85	7	models	model	NOUN
cana-1162	85	8	can	can	AUX
cana-1162	85	9	transform	transform	VERB
cana-1162	85	10	non	non	ADJ
cana-1162	85	11	-	-	ADJ
cana-1162	85	12	stationary	stationary	ADJ
cana-1162	85	13	data	datum	NOUN
cana-1162	85	14	into	into	ADP
cana-1162	85	15	stationary	stationary	ADJ
cana-1162	85	16	forms	form	NOUN
cana-1162	85	17	while	while	SCONJ
cana-1162	85	18	removing	remove	VERB
cana-1162	85	19	trends	trend	NOUN
cana-1162	85	20	and	and	CCONJ
cana-1162	85	21	seasonality	seasonality	NOUN
cana-1162	85	22	.	.	PUNCT
cana-1162	86	1	in	in	ADP
cana-1162	86	2	the	the	DET
cana-1162	86	3	ar	ar	NOUN
cana-1162	86	4	component	component	NOUN
cana-1162	86	5	of	of	ADP
cana-1162	86	6	the	the	DET
cana-1162	86	7	arima	arima	PROPN
cana-1162	86	8	model	model	NOUN
cana-1162	86	9	,	,	PUNCT
cana-1162	86	10	the	the	DET
cana-1162	86	11	focused	focus	VERB
cana-1162	86	12	variable	variable	NOUN
cana-1162	86	13	is	be	AUX
cana-1162	86	14	regressed	regress	VERB
cana-1162	86	15	on	on	ADP
cana-1162	86	16	its	its	PRON
cana-1162	86	17	past	past	ADJ
cana-1162	86	18	values	value	NOUN
cana-1162	86	19	and	and	CCONJ
cana-1162	86	20	the	the	DET
cana-1162	86	21	ma	ma	PROPN
cana-1162	86	22	element	element	NOUN
cana-1162	86	23	within	within	ADP
cana-1162	86	24	an	an	DET
cana-1162	86	25	arima	arima	NOUN
cana-1162	86	26	model	model	NOUN
cana-1162	86	27	highlights	highlight	NOUN
cana-1162	86	28	how	how	SCONJ
cana-1162	86	29	the	the	DET
cana-1162	86	30	residuals	residual	NOUN
cana-1162	86	31	are	be	AUX
cana-1162	86	32	constructed	construct	VERB
cana-1162	86	33	by	by	ADP
cana-1162	86	34	blending	blend	VERB
cana-1162	86	35	errors	error	NOUN
cana-1162	86	36	from	from	ADP
cana-1162	86	37	past	past	ADJ
cana-1162	86	38	time	time	NOUN
cana-1162	86	39	intervals	interval	NOUN
cana-1162	86	40	in	in	ADP
cana-1162	86	41	a	a	DET
cana-1162	86	42	linear	linear	ADJ
cana-1162	86	43	fashion	fashion	NOUN
cana-1162	86	44	(	(	PUNCT
cana-1162	86	45	dimri	dimri	NOUN
cana-1162	86	46	et	et	PROPN
cana-1162	86	47	al	al	PROPN
cana-1162	86	48	.	.	PROPN
cana-1162	86	49	,	,	PUNCT
cana-1162	86	50	2020	2020	NUM
cana-1162	86	51	)	)	PUNCT
cana-1162	86	52	.	.	PUNCT
cana-1162	87	1	the	the	DET
cana-1162	87	2	arima(p	arima(p	PROPN
cana-1162	87	3	,	,	PUNCT
cana-1162	87	4	d	d	NOUN
cana-1162	87	5	,	,	PUNCT
cana-1162	87	6	q	q	NOUN
cana-1162	87	7	)	)	PUNCT
cana-1162	87	8	notation	notation	NOUN
cana-1162	87	9	indicates	indicate	VERB
cana-1162	87	10	the	the	DET
cana-1162	87	11	specific	specific	ADJ
cana-1162	87	12	parameters	parameter	NOUN
cana-1162	87	13	of	of	ADP
cana-1162	87	14	an	an	DET
cana-1162	87	15	arima	arima	PROPN
cana-1162	87	16	model	model	NOUN
cana-1162	87	17	.	.	PUNCT
cana-1162	88	1	𝑦′𝑡	𝑦′𝑡	VERB
cana-1162	88	2	=	=	PROPN
cana-1162	88	3	𝐶	𝐶	PROPN
cana-1162	88	4	+	+	CCONJ
cana-1162	88	5	𝜙1𝑦′𝑡−1	𝜙1𝑦′𝑡−1	PROPN
cana-1162	88	6	+	+	PROPN
cana-1162	88	7	.	.	PUNCT
cana-1162	88	8	.	.	PUNCT
cana-1162	88	9	.	.	PUNCT
cana-1162	89	1	+	+	CCONJ
cana-1162	89	2	𝜙𝑝𝑦′𝑡−𝑝	𝜙𝑝𝑦′𝑡−𝑝	PROPN
cana-1162	89	3	+	+	CCONJ
cana-1162	89	4	𝜃1𝜀𝑡−1	𝜃1𝜀𝑡−1	PROPN
cana-1162	89	5	+	+	PROPN
cana-1162	89	6	.	.	PUNCT
cana-1162	89	7	.	.	PUNCT
cana-1162	89	8	.	.	PUNCT
cana-1162	90	1	+	+	ADV
cana-1162	90	2	𝜃𝑞𝜀𝑡−𝑞	𝜃𝑞𝜀𝑡−𝑞	X
cana-1162	90	3	+	+	X
cana-1162	90	4	𝜀𝑡	𝜀𝑡	NOUN
cana-1162	90	5	(	(	PUNCT
cana-1162	90	6	2	2	NUM
cana-1162	90	7	)	)	PUNCT
cana-1162	90	8	when	when	SCONJ
cana-1162	90	9	d=1	d=1	NOUN
cana-1162	90	10	,	,	PUNCT
cana-1162	90	11	the	the	DET
cana-1162	90	12	value	value	NOUN
cana-1162	90	13	of	of	ADP
cana-1162	90	14	c	c	PROPN
cana-1162	90	15	remains	remain	VERB
cana-1162	90	16	unchanging	unchanging	ADJ
cana-1162	90	17	and	and	CCONJ
cana-1162	90	18	acts	act	VERB
cana-1162	90	19	as	as	ADP
cana-1162	90	20	the	the	DET
cana-1162	90	21	drift	drift	NOUN
cana-1162	90	22	term	term	NOUN
cana-1162	90	23	in	in	ADP
cana-1162	90	24	the	the	DET
cana-1162	90	25	equation	equation	NOUN
cana-1162	90	26	.	.	PUNCT
cana-1162	91	1	𝜙1𝑦′𝑡−1	𝜙1𝑦′𝑡−1	PROPN
cana-1162	91	2	+	+	PROPN
cana-1162	91	3	.	.	PUNCT
cana-1162	91	4	.	.	PUNCT
cana-1162	91	5	.	.	PUNCT
cana-1162	92	1	+	+	CCONJ
cana-1162	92	2	𝜙𝑝𝑦′𝑡−𝑝	𝜙𝑝𝑦′𝑡−𝑝	PROPN
cana-1162	92	3	is	be	AUX
cana-1162	92	4	the	the	DET
cana-1162	92	5	ar	ar	NOUN
cana-1162	92	6	term	term	NOUN
cana-1162	92	7	having	have	VERB
cana-1162	92	8	coefficients	coefficient	NOUN
cana-1162	92	9	at	at	ADP
cana-1162	92	10	order	order	NOUN
cana-1162	92	11	p	p	NOUN
cana-1162	92	12	from	from	ADP
cana-1162	92	13	𝜙1	𝜙1	NOUN
cana-1162	92	14	to	to	ADP
cana-1162	92	15	𝜙𝑝.	𝜙𝑝.	PRON
cana-1162	92	16	𝜃1𝜀𝑡−1	𝜃1𝜀𝑡−1	PUNCT
cana-1162	92	17	+	+	PROPN
cana-1162	92	18	.	.	PUNCT
cana-1162	92	19	.	.	PUNCT
cana-1162	92	20	.	.	PUNCT
cana-1162	93	1	+	+	ADV
cana-1162	93	2	𝜃𝑞𝜀𝑡−𝑞	𝜃𝑞𝜀𝑡−𝑞	NOUN
cana-1162	93	3	is	be	AUX
cana-1162	93	4	the	the	DET
cana-1162	93	5	ma	ma	PROPN
cana-1162	93	6	term	term	NOUN
cana-1162	93	7	with	with	ADP
cana-1162	93	8	𝜃1	𝜃1	NOUN
cana-1162	93	9	to	to	PART
cana-1162	93	10	𝜃𝑞	𝜃𝑞	INTJ
cana-1162	93	11	as	as	ADP
cana-1162	93	12	coefficients	coefficient	NOUN
cana-1162	93	13	at	at	ADP
cana-1162	93	14	q	q	NOUN
cana-1162	93	15	order	order	NOUN
cana-1162	93	16	,	,	PUNCT
cana-1162	93	17	at	at	ADP
cana-1162	93	18	each	each	DET
cana-1162	93	19	time	time	NOUN
cana-1162	93	20	point	point	NOUN
cana-1162	93	21	t	t	PROPN
cana-1162	93	22	,	,	PUNCT
cana-1162	93	23	𝜀𝑡	𝜀𝑡	NOUN
cana-1162	93	24	is	be	AUX
cana-1162	93	25	indicative	indicative	ADJ
cana-1162	93	26	of	of	ADP
cana-1162	93	27	random	random	ADJ
cana-1162	93	28	noise	noise	NOUN
cana-1162	93	29	from	from	ADP
cana-1162	93	30	the	the	DET
cana-1162	93	31	background	background	NOUN
cana-1162	93	32	,	,	PUNCT
cana-1162	93	33	whereas	whereas	SCONJ
cana-1162	93	34	𝑦′𝑡	𝑦′𝑡	PROPN
cana-1162	93	35	stands	stand	VERB
cana-1162	93	36	for	for	ADP
cana-1162	93	37	the	the	DET
cana-1162	93	38	differencing	difference	VERB
cana-1162	93	39	series	series	NOUN
cana-1162	93	40	.	.	PUNCT
cana-1162	94	1	a	a	DET
cana-1162	94	2	view	view	NOUN
cana-1162	94	3	of	of	ADP
cana-1162	94	4	this	this	DET
cana-1162	94	5	model	model	NOUN
cana-1162	94	6	is	be	AUX
cana-1162	94	7	shown	show	VERB
cana-1162	94	8	in	in	ADP
cana-1162	94	9	fig	fig	NOUN
cana-1162	94	10	.	.	PUNCT
cana-1162	95	1	5	5	NUM
cana-1162	95	2	.	.	X
cana-1162	95	3	fig	fig	NOUN
cana-1162	95	4	.	.	PUNCT
cana-1162	96	1	5	5	NUM
cana-1162	96	2	partial	partial	ADJ
cana-1162	96	3	structural	structural	ADJ
cana-1162	96	4	arima	arima	NOUN
cana-1162	96	5	model	model	NOUN
cana-1162	96	6	2.4	2.4	NUM
cana-1162	96	7	.	.	PUNCT
cana-1162	97	1	performance	performance	NOUN
cana-1162	97	2	criteria	criterion	NOUN
cana-1162	97	3	to	to	PART
cana-1162	97	4	analyze	analyze	VERB
cana-1162	97	5	the	the	DET
cana-1162	97	6	performance	performance	NOUN
cana-1162	97	7	of	of	ADP
cana-1162	97	8	the	the	DET
cana-1162	97	9	developed	develop	VERB
cana-1162	97	10	models	model	NOUN
cana-1162	97	11	,	,	PUNCT
cana-1162	97	12	the	the	DET
cana-1162	97	13	coefficient	coefficient	NOUN
cana-1162	97	14	of	of	ADP
cana-1162	97	15	correlation	correlation	NOUN
cana-1162	97	16	(	(	PUNCT
cana-1162	97	17	r	r	NOUN
cana-1162	97	18	)	)	PUNCT
cana-1162	97	19	and	and	CCONJ
cana-1162	97	20	root	root	NOUN
cana-1162	97	21	mean	mean	ADJ
cana-1162	97	22	square	square	ADJ
cana-1162	97	23	error	error	NOUN
cana-1162	97	24	(	(	PUNCT
cana-1162	97	25	rmse	rmse	NOUN
cana-1162	97	26	)	)	PUNCT
cana-1162	97	27	performance	performance	NOUN
cana-1162	97	28	metrics	metric	NOUN
cana-1162	97	29	are	be	AUX
cana-1162	97	30	utilized	utilize	VERB
cana-1162	97	31	.	.	PUNCT
cana-1162	98	1	the	the	DET
cana-1162	98	2	rmse	rmse	NOUN
cana-1162	98	3	is	be	AUX
cana-1162	98	4	a	a	DET
cana-1162	98	5	statistical	statistical	ADJ
cana-1162	98	6	metric	metric	NOUN
cana-1162	98	7	that	that	PRON
cana-1162	98	8	calculates	calculate	VERB
cana-1162	98	9	the	the	DET
cana-1162	98	10	mean	mean	NOUN
cana-1162	98	11	of	of	ADP
cana-1162	98	12	the	the	DET
cana-1162	98	13	square	square	ADJ
cana-1162	98	14	root	root	NOUN
cana-1162	98	15	of	of	ADP
cana-1162	98	16	the	the	DET
cana-1162	98	17	discrepancy	discrepancy	NOUN
cana-1162	98	18	between	between	ADP
cana-1162	98	19	the	the	DET
cana-1162	98	20	actual	actual	ADJ
cana-1162	98	21	and	and	CCONJ
cana-1162	98	22	anticipated	anticipated	ADJ
cana-1162	98	23	values	value	NOUN
cana-1162	98	24	.	.	PUNCT
cana-1162	99	1	rmse	rmse	NOUN
cana-1162	100	1	=	=	NOUN
cana-1162	100	2	√	√	NOUN
cana-1162	100	3	1	1	NUM
cana-1162	100	4	∑n	∑n	PROPN
cana-1162	100	5	(	(	PUNCT
cana-1162	100	6	mws	mws	NOUN
cana-1162	100	7	−	−	PROPN
cana-1162	100	8	mws)2	mws)2	PROPN
cana-1162	100	9	0≤	0≤	ADJ
cana-1162	100	10	𝑅𝑀𝑆𝐸	𝑅𝑀𝑆𝐸	NOUN
cana-1162	100	11	≤	≤	ADV
cana-1162	100	12	∞	∞	PROPN
cana-1162	100	13	(	(	PUNCT
cana-1162	100	14	3	3	X
cana-1162	100	15	)	)	PUNCT
cana-1162	100	16	ni=1pioi	ni=1pioi	PROPN
cana-1162	100	17	in	in	ADP
cana-1162	100	18	prediction	prediction	NOUN
cana-1162	100	19	,	,	PUNCT
cana-1162	100	20	correlation	correlation	NOUN
cana-1162	100	21	(	(	PUNCT
cana-1162	100	22	r	r	NOUN
cana-1162	100	23	)	)	PUNCT
cana-1162	100	24	serves	serve	VERB
cana-1162	100	25	as	as	ADP
cana-1162	100	26	a	a	DET
cana-1162	100	27	statistical	statistical	ADJ
cana-1162	100	28	measure	measure	NOUN
cana-1162	100	29	that	that	PRON
cana-1162	100	30	quantifies	quantify	VERB
cana-1162	100	31	how	how	SCONJ
cana-1162	100	32	strong	strong	ADJ
cana-1162	100	33	the	the	DET
cana-1162	100	34	relationship	relationship	NOUN
cana-1162	100	35	is	be	AUX
cana-1162	100	36	between	between	ADP
cana-1162	100	37	t	t	PROPN
cana-1162	100	38	wo	will	AUX
cana-1162	100	39	variables	variable	NOUN
cana-1162	100	40	.	.	PUNCT
cana-1162	101	1	(	(	PUNCT
cana-1162	101	2	4	4	X
cana-1162	101	3	)	)	PUNCT
cana-1162	101	4	communications	communication	NOUN
cana-1162	101	5	on	on	ADP
cana-1162	101	6	applied	apply	VERB
cana-1162	101	7	nonlinear	nonlinear	ADJ
cana-1162	101	8	analysis	analysis	NOUN
cana-1162	101	9	issn	issn	NOUN
cana-1162	101	10	:	:	PUNCT
cana-1162	101	11	1074	1074	NUM
cana-1162	101	12	-	-	PUNCT
cana-1162	101	13	133x	133x	NUM
cana-1162	101	14	vol	vol	NOUN
cana-1162	101	15	31	31	NUM
cana-1162	101	16	no	no	NOUN
cana-1162	101	17	.	.	PUNCT
cana-1162	102	1	6s	6s	NUM
cana-1162	102	2	(	(	PUNCT
cana-1162	102	3	2024	2024	NUM
cana-1162	102	4	)	)	PUNCT
cana-1162	102	5	88	88	NUM
cana-1162	102	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1162	102	7	where	where	SCONJ
cana-1162	102	8	,	,	PUNCT
cana-1162	102	9	𝑀𝑊𝑆𝑜𝑖	𝑀𝑊𝑆𝑜𝑖	PROPN
cana-1162	102	10	,	,	PUNCT
cana-1162	102	11	𝑎𝑛𝑑	𝑎𝑛𝑑	ADJ
cana-1162	102	12	𝑀𝑊𝑆𝑝𝑖	𝑀𝑊𝑆𝑝𝑖	PROPN
cana-1162	102	13	refer	refer	VERB
cana-1162	102	14	to	to	AUX
cana-1162	102	15	observed	observed	ADJ
cana-1162	102	16	and	and	CCONJ
cana-1162	102	17	the	the	DET
cana-1162	102	18	predicted	predict	VERB
cana-1162	102	19	data	datum	NOUN
cana-1162	102	20	,	,	PUNCT
cana-1162	102	21	n	n	PRON
cana-1162	102	22	indicates	indicate	VERB
cana-1162	102	23	the	the	DET
cana-1162	102	24	number	number	NOUN
cana-1162	102	25	of	of	ADP
cana-1162	102	26	data	datum	NOUN
cana-1162	102	27	,	,	PUNCT
cana-1162	102	28	and	and	CCONJ
cana-1162	102	29	mwsoi	mwsoi	NOUN
cana-1162	102	30	and	and	CCONJ
cana-1162	102	31	̅	̅	PROPN
cana-1162	102	32	�	�	PROPN
cana-1162	102	33	̅̅	̅̅	NOUN
cana-1162	102	34	�	�	PROPN
cana-1162	102	35	swsp	swsp	ADV
cana-1162	102	36	how	how	SCONJ
cana-1162	102	37	the	the	DET
cana-1162	102	38	average	average	NOUN
cana-1162	102	39	of	of	ADP
cana-1162	102	40	the	the	DET
cana-1162	102	41	observed	observe	VERB
cana-1162	102	42	and	and	CCONJ
cana-1162	102	43	predicted	predict	VERB
cana-1162	102	44	data	datum	NOUN
cana-1162	102	45	.	.	PUNCT
cana-1162	103	1	3	3	X
cana-1162	103	2	.	.	X
cana-1162	103	3	results	result	VERB
cana-1162	103	4	3.1	3.1	NUM
cana-1162	103	5	.	.	PUNCT
cana-1162	103	6	model	model	PROPN
cana-1162	103	7	development	development	PROPN
cana-1162	103	8	time	time	PROPN
cana-1162	103	9	series	series	PROPN
cana-1162	103	10	forecasting	forecasting	NOUN
cana-1162	103	11	techniques	technique	NOUN
cana-1162	103	12	can	can	AUX
cana-1162	103	13	be	be	AUX
cana-1162	103	14	classified	classify	VERB
cana-1162	103	15	as	as	ADP
cana-1162	103	16	either	either	CCONJ
cana-1162	103	17	univariate	univariate	ADJ
cana-1162	103	18	or	or	CCONJ
cana-1162	103	19	multivariate	multivariate	NOUN
cana-1162	103	20	,	,	PUNCT
cana-1162	103	21	depending	depend	VERB
cana-1162	103	22	on	on	ADP
cana-1162	103	23	the	the	DET
cana-1162	103	24	number	number	NOUN
cana-1162	103	25	of	of	ADP
cana-1162	103	26	variables	variable	NOUN
cana-1162	103	27	available	available	ADJ
cana-1162	103	28	for	for	ADP
cana-1162	103	29	observation	observation	NOUN
cana-1162	103	30	.	.	PUNCT
cana-1162	104	1	to	to	PART
cana-1162	104	2	anticipate	anticipate	VERB
cana-1162	104	3	forthcoming	forthcoming	ADJ
cana-1162	104	4	mwss	mwss	NOUN
cana-1162	104	5	,	,	PUNCT
cana-1162	104	6	the	the	DET
cana-1162	104	7	univariate	univariate	ADJ
cana-1162	104	8	forecasting	forecasting	NOUN
cana-1162	104	9	method	method	NOUN
cana-1162	104	10	was	be	AUX
cana-1162	104	11	employed	employ	VERB
cana-1162	104	12	,	,	PUNCT
cana-1162	104	13	assuming	assume	VERB
cana-1162	104	14	that	that	SCONJ
cana-1162	104	15	future	future	ADJ
cana-1162	104	16	value	value	NOUN
cana-1162	104	17	of	of	ADP
cana-1162	104	18	a	a	DET
cana-1162	104	19	time	time	NOUN
cana-1162	104	20	series	series	NOUN
cana-1162	104	21	is	be	AUX
cana-1162	104	22	exclusively	exclusively	ADV
cana-1162	104	23	reliant	reliant	ADJ
cana-1162	104	24	on	on	ADP
cana-1162	104	25	past	past	ADJ
cana-1162	104	26	value	value	NOUN
cana-1162	104	27	.	.	PUNCT
cana-1162	105	1	this	this	DET
cana-1162	105	2	strategy	strategy	NOUN
cana-1162	105	3	offers	offer	VERB
cana-1162	105	4	certain	certain	ADJ
cana-1162	105	5	benefits	benefit	NOUN
cana-1162	105	6	that	that	PRON
cana-1162	105	7	surpass	surpass	ADJ
cana-1162	105	8	multivariate	multivariate	NOUN
cana-1162	105	9	time	time	NOUN
cana-1162	105	10	series	series	PROPN
cana-1162	105	11	forecasting	forecasting	PROPN
cana-1162	105	12	(	(	PUNCT
cana-1162	105	13	mirzania	mirzania	PROPN
cana-1162	105	14	et	et	PROPN
cana-1162	105	15	al	al	PROPN
cana-1162	105	16	.	.	PROPN
cana-1162	105	17	,	,	PUNCT
cana-1162	105	18	2023	2023	NUM
cana-1162	105	19	)	)	PUNCT
cana-1162	105	20	.	.	PUNCT
cana-1162	106	1	the	the	DET
cana-1162	106	2	lower	low	ADJ
cana-1162	106	3	complexity	complexity	NOUN
cana-1162	106	4	of	of	ADP
cana-1162	106	5	univariate	univariate	ADJ
cana-1162	106	6	time	time	NOUN
cana-1162	106	7	series	series	NOUN
cana-1162	106	8	forecasts	forecast	NOUN
cana-1162	106	9	generally	generally	ADV
cana-1162	106	10	results	result	VERB
cana-1162	106	11	in	in	ADP
cana-1162	106	12	faster	fast	ADJ
cana-1162	106	13	estimation	estimation	NOUN
cana-1162	106	14	than	than	ADP
cana-1162	106	15	their	their	PRON
cana-1162	106	16	multivariate	multivariate	NOUN
cana-1162	106	17	counterparts	counterpart	NOUN
cana-1162	106	18	.	.	PUNCT
cana-1162	107	1	it	it	PRON
cana-1162	107	2	has	have	AUX
cana-1162	107	3	been	be	AUX
cana-1162	107	4	demonstrated	demonstrate	VERB
cana-1162	107	5	in	in	ADP
cana-1162	107	6	prior	prior	ADJ
cana-1162	107	7	research	research	NOUN
cana-1162	107	8	(	(	PUNCT
cana-1162	107	9	e.g.	e.g.	ADV
cana-1162	107	10	,	,	PUNCT
cana-1162	107	11	iwok	iwok	NOUN
cana-1162	107	12	and	and	CCONJ
cana-1162	107	13	okpe	okpe	NOUN
cana-1162	107	14	,	,	PUNCT
cana-1162	107	15	2016	2016	NUM
cana-1162	107	16	;	;	PUNCT
cana-1162	107	17	castán	castán	NOUN
cana-1162	107	18	-	-	PUNCT
cana-1162	107	19	lascorz	lascorz	PROPN
cana-1162	107	20	et	et	PROPN
cana-1162	107	21	al	al	PROPN
cana-1162	107	22	.	.	PROPN
cana-1162	107	23	,	,	PUNCT
cana-1162	107	24	2022	2022	NUM
cana-1162	107	25	)	)	PUNCT
cana-1162	107	26	that	that	SCONJ
cana-1162	107	27	the	the	DET
cana-1162	107	28	univariate	univariate	ADJ
cana-1162	107	29	forecasting	forecasting	NOUN
cana-1162	107	30	models	model	NOUN
cana-1162	107	31	showed	show	VERB
cana-1162	107	32	more	more	ADV
cana-1162	107	33	accurate	accurate	ADJ
cana-1162	107	34	performance	performance	NOUN
cana-1162	107	35	than	than	ADP
cana-1162	107	36	multivariate	multivariate	NOUN
cana-1162	107	37	models	model	NOUN
cana-1162	107	38	.	.	PUNCT
cana-1162	108	1	the	the	DET
cana-1162	108	2	effectiveness	effectiveness	NOUN
cana-1162	108	3	of	of	ADP
cana-1162	108	4	a	a	DET
cana-1162	108	5	model	model	NOUN
cana-1162	108	6	can	can	AUX
cana-1162	108	7	be	be	AUX
cana-1162	108	8	significantly	significantly	ADV
cana-1162	108	9	enhanced	enhance	VERB
cana-1162	108	10	by	by	ADP
cana-1162	108	11	carefully	carefully	ADV
cana-1162	108	12	choosing	choose	VERB
cana-1162	108	13	the	the	DET
cana-1162	108	14	input	input	NOUN
cana-1162	108	15	variables	variable	NOUN
cana-1162	108	16	in	in	ADP
cana-1162	108	17	the	the	DET
cana-1162	108	18	field	field	NOUN
cana-1162	108	19	of	of	ADP
cana-1162	108	20	modeling	modeling	NOUN
cana-1162	108	21	.	.	PUNCT
cana-1162	109	1	when	when	SCONJ
cana-1162	109	2	it	it	PRON
cana-1162	109	3	comes	come	VERB
cana-1162	109	4	to	to	ADP
cana-1162	109	5	choosing	choose	VERB
cana-1162	109	6	the	the	DET
cana-1162	109	7	best	good	ADJ
cana-1162	109	8	input	input	NOUN
cana-1162	109	9	variables	variable	NOUN
cana-1162	109	10	for	for	ADP
cana-1162	109	11	the	the	DET
cana-1162	109	12	output	output	NOUN
cana-1162	109	13	variable	variable	NOUN
cana-1162	109	14	,	,	PUNCT
cana-1162	109	15	there	there	PRON
cana-1162	109	16	are	be	VERB
cana-1162	109	17	multiple	multiple	ADJ
cana-1162	109	18	approaches	approach	NOUN
cana-1162	109	19	available	available	ADJ
cana-1162	109	20	,	,	PUNCT
cana-1162	109	21	like	like	ADP
cana-1162	109	22	gamma	gamma	NOUN
cana-1162	109	23	test	test	NOUN
cana-1162	109	24	,	,	PUNCT
cana-1162	109	25	method	method	NOUN
cana-1162	109	26	of	of	ADP
cana-1162	109	27	average	average	ADJ
cana-1162	109	28	mutual	mutual	ADJ
cana-1162	109	29	information	information	NOUN
cana-1162	109	30	(	(	PUNCT
cana-1162	109	31	ami	ami	NOUN
cana-1162	109	32	)	)	PUNCT
cana-1162	109	33	(	(	PUNCT
cana-1162	109	34	ghorbani	ghorbani	NOUN
cana-1162	109	35	et	et	PROPN
cana-1162	109	36	al	al	PROPN
cana-1162	109	37	.	.	PROPN
cana-1162	109	38	,	,	PUNCT
cana-1162	109	39	2022	2022	NUM
cana-1162	109	40	)	)	PUNCT
cana-1162	109	41	,	,	PUNCT
cana-1162	109	42	and	and	CCONJ
cana-1162	109	43	principal	principal	ADJ
cana-1162	109	44	component	component	NOUN
cana-1162	109	45	analysis	analysis	NOUN
cana-1162	109	46	(	(	PUNCT
cana-1162	109	47	noori	noori	X
cana-1162	109	48	et	et	PROPN
cana-1162	109	49	al	al	PROPN
cana-1162	109	50	.	.	PROPN
cana-1162	109	51	,	,	PUNCT
cana-1162	109	52	2011	2011	NUM
cana-1162	109	53	)	)	PUNCT
cana-1162	109	54	.	.	PUNCT
cana-1162	110	1	in	in	ADP
cana-1162	110	2	this	this	DET
cana-1162	110	3	study	study	NOUN
cana-1162	110	4	,	,	PUNCT
cana-1162	110	5	an	an	DET
cana-1162	110	6	autocorrelation	autocorrelation	NOUN
cana-1162	110	7	function	function	NOUN
cana-1162	110	8	was	be	AUX
cana-1162	110	9	used	use	VERB
cana-1162	110	10	to	to	PART
cana-1162	110	11	determine	determine	VERB
cana-1162	110	12	time	time	NOUN
cana-1162	110	13	delay	delay	NOUN
cana-1162	110	14	𝜏	𝜏	PRON
cana-1162	110	15	value	value	NOUN
cana-1162	110	16	via	via	ADP
cana-1162	110	17	the	the	DET
cana-1162	110	18	ami	ami	NOUN
cana-1162	110	19	technique	technique	NOUN
cana-1162	110	20	.	.	PUNCT
cana-1162	111	1	indeed	indeed	ADV
cana-1162	111	2	,	,	PUNCT
cana-1162	111	3	the	the	DET
cana-1162	111	4	ami	ami	NOUN
cana-1162	111	5	method	method	NOUN
cana-1162	111	6	establishes	establish	VERB
cana-1162	111	7	how	how	SCONJ
cana-1162	111	8	to	to	PART
cana-1162	111	9	join	join	VERB
cana-1162	111	10	the	the	DET
cana-1162	111	11	time	time	NOUN
cana-1162	111	12	series	series	PROPN
cana-1162	111	13	x(t	x(t	PROPN
cana-1162	111	14	)	)	PUNCT
cana-1162	111	15	and	and	CCONJ
cana-1162	111	16	the	the	DET
cana-1162	111	17	time	time	NOUN
cana-1162	111	18	series	series	PROPN
cana-1162	111	19	𝑋(𝑡	𝑋(𝑡	PROPN
cana-1162	111	20	+	+	CCONJ
cana-1162	111	21	)	)	PUNCT
cana-1162	111	22	at	at	ADP
cana-1162	111	23	a	a	DET
cana-1162	111	24	specific	specific	ADJ
cana-1162	111	25	time	time	NOUN
cana-1162	111	26	t	t	PROPN
cana-1162	111	27	(	(	PUNCT
cana-1162	111	28	abarbanel	abarbanel	PROPN
cana-1162	111	29	,	,	PUNCT
cana-1162	111	30	1996	1996	NUM
cana-1162	111	31	)	)	PUNCT
cana-1162	111	32	.	.	PUNCT
cana-1162	112	1	optimal	optimal	ADJ
cana-1162	112	2	values	value	NOUN
cana-1162	112	3	for	for	ADP
cana-1162	112	4	delay	delay	NOUN
cana-1162	112	5	(	(	PUNCT
cana-1162	112	6	𝜏	𝜏	NOUN
cana-1162	112	7	)	)	PUNCT
cana-1162	112	8	at	at	ADP
cana-1162	112	9	the	the	DET
cana-1162	112	10	airport	airport	NOUN
cana-1162	112	11	can	can	AUX
cana-1162	112	12	be	be	AUX
cana-1162	112	13	determined	determine	VERB
cana-1162	112	14	by	by	ADP
cana-1162	112	15	referring	refer	VERB
cana-1162	112	16	to	to	ADP
cana-1162	112	17	fig	fig	NOUN
cana-1162	112	18	.	.	PUNCT
cana-1162	113	1	6	6	NUM
cana-1162	113	2	,	,	PUNCT
cana-1162	113	3	which	which	PRON
cana-1162	113	4	demonstrates	demonstrate	VERB
cana-1162	113	5	a	a	DET
cana-1162	113	6	correlation	correlation	NOUN
cana-1162	113	7	between	between	ADP
cana-1162	113	8	the	the	DET
cana-1162	113	9	lowest	low	ADJ
cana-1162	113	10	ami	ami	NOUN
cana-1162	113	11	value	value	NOUN
cana-1162	113	12	and	and	CCONJ
cana-1162	113	13	a	a	DET
cana-1162	113	14	delay	delay	NOUN
cana-1162	113	15	of	of	ADP
cana-1162	113	16	3	3	NUM
cana-1162	113	17	.	.	PUNCT
cana-1162	113	18	fig	fig	NOUN
cana-1162	113	19	.	.	PUNCT
cana-1162	114	1	6	6	NUM
cana-1162	114	2	the	the	DET
cana-1162	114	3	average	average	ADJ
cana-1162	114	4	mutual	mutual	ADJ
cana-1162	114	5	information	information	NOUN
cana-1162	114	6	for	for	ADP
cana-1162	114	7	king	king	PROPN
cana-1162	114	8	khalid	khalid	PROPN
cana-1162	114	9	,	,	PUNCT
cana-1162	114	10	king	king	PROPN
cana-1162	114	11	fahd	fahd	PROPN
cana-1162	114	12	,	,	PUNCT
cana-1162	114	13	and	and	CCONJ
cana-1162	114	14	king	king	PROPN
cana-1162	114	15	abdulaziz	abdulaziz	PROPN
cana-1162	114	16	airport	airport	PROPN
cana-1162	114	17	table	table	NOUN
cana-1162	114	18	2	2	NUM
cana-1162	114	19	showcases	showcase	VERB
cana-1162	114	20	distinct	distinct	ADJ
cana-1162	114	21	combinations	combination	NOUN
cana-1162	114	22	of	of	ADP
cana-1162	114	23	input	input	NOUN
cana-1162	114	24	variable(s	variable(s	NOUN
cana-1162	114	25	)	)	PUNCT
cana-1162	114	26	derived	derive	VERB
cana-1162	114	27	from	from	ADP
cana-1162	114	28	the	the	DET
cana-1162	114	29	ami	ami	NOUN
cana-1162	114	30	outcomes	outcome	NOUN
cana-1162	114	31	to	to	PART
cana-1162	114	32	model	model	VERB
cana-1162	114	33	airport	airport	PROPN
cana-1162	114	34	mws	mws	PROPN
cana-1162	114	35	.	.	PUNCT
cana-1162	115	1	communications	communication	NOUN
cana-1162	115	2	on	on	ADP
cana-1162	115	3	applied	apply	VERB
cana-1162	115	4	nonlinear	nonlinear	ADJ
cana-1162	115	5	analysis	analysis	NOUN
cana-1162	115	6	issn	issn	NOUN
cana-1162	115	7	:	:	PUNCT
cana-1162	115	8	1074	1074	NUM
cana-1162	115	9	-	-	PUNCT
cana-1162	115	10	133x	133x	NUM
cana-1162	115	11	vol	vol	NOUN
cana-1162	115	12	31	31	NUM
cana-1162	115	13	no	no	NOUN
cana-1162	115	14	.	.	PUNCT
cana-1162	116	1	6s	6s	NUM
cana-1162	116	2	(	(	PUNCT
cana-1162	116	3	2024	2024	NUM
cana-1162	116	4	)	)	PUNCT
cana-1162	116	5	89	89	NUM
cana-1162	116	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1162	116	7	table	table	NOUN
cana-1162	116	8	2	2	NUM
cana-1162	116	9	.	.	PUNCT
cana-1162	117	1	the	the	DET
cana-1162	117	2	combinations	combination	NOUN
cana-1162	117	3	of	of	ADP
cana-1162	117	4	input	input	NOUN
cana-1162	117	5	variable(s	variable(s	NOUN
cana-1162	117	6	)	)	PUNCT
cana-1162	117	7	for	for	ADP
cana-1162	117	8	multistep	multistep	ADJ
cana-1162	117	9	ahead	ahead	ADV
cana-1162	117	10	wind	wind	NOUN
cana-1162	117	11	max	max	PROPN
cana-1162	117	12	speed	speed	PROPN
cana-1162	117	13	king	king	PROPN
cana-1162	117	14	khalid	khalid	PROPN
cana-1162	117	15	,	,	PUNCT
cana-1162	117	16	king	king	PROPN
cana-1162	117	17	fahd	fahd	PROPN
cana-1162	117	18	,	,	PUNCT
cana-1162	117	19	and	and	CCONJ
cana-1162	117	20	king	king	PROPN
cana-1162	117	21	abdulaziz	abdulaziz	PROPN
cana-1162	117	22	airport	airport	PROPN
cana-1162	117	23	airports	airport	NOUN
cana-1162	117	24	scenario	scenario	PROPN
cana-1162	117	25	inputs	input	VERB
cana-1162	117	26	output	output	NOUN
cana-1162	117	27	king	king	PROPN
cana-1162	117	28	khalid	khalid	PROPN
cana-1162	117	29	m1	m1	PROPN
cana-1162	117	30	mws(t	mws(t	PROPN
cana-1162	117	31	)	)	PUNCT
cana-1162	117	32	mws(t	mws(t	NOUN
cana-1162	117	33	)	)	PUNCT
cana-1162	117	34	m2	m2	PROPN
cana-1162	117	35	mws(t	mws(t	PROPN
cana-1162	117	36	)	)	PUNCT
cana-1162	117	37	,	,	PUNCT
cana-1162	117	38	mws(t-1	mws(t-1	PROPN
cana-1162	117	39	)	)	PUNCT
cana-1162	117	40	mws(t	mws(t	NOUN
cana-1162	117	41	)	)	PUNCT
cana-1162	117	42	m3	m3	PROPN
cana-1162	117	43	mws(t	mws(t	PROPN
cana-1162	117	44	)	)	PUNCT
cana-1162	117	45	,	,	PUNCT
cana-1162	117	46	mws(t-1	mws(t-1	PROPN
cana-1162	117	47	)	)	PUNCT
cana-1162	117	48	,	,	PUNCT
cana-1162	117	49	mws(t-2	mws(t-2	PROPN
cana-1162	117	50	)	)	PUNCT
cana-1162	117	51	mws(t	mws(t	PROPN
cana-1162	117	52	)	)	PUNCT
cana-1162	117	53	m4	m4	PROPN
cana-1162	117	54	mws(t	mws(t	PROPN
cana-1162	117	55	)	)	PUNCT
cana-1162	117	56	,	,	PUNCT
cana-1162	117	57	mws(t-1	mws(t-1	PROPN
cana-1162	117	58	)	)	PUNCT
cana-1162	117	59	,	,	PUNCT
cana-1162	117	60	mws(t-2	mws(t-2	PROPN
cana-1162	117	61	)	)	PUNCT
cana-1162	117	62	,	,	PUNCT
cana-1162	117	63	mws(t-3	mws(t-3	PROPN
cana-1162	117	64	)	)	PUNCT
cana-1162	117	65	mws(t	mws(t	NOUN
cana-1162	117	66	)	)	PUNCT
cana-1162	117	67	m1	m1	NOUN
cana-1162	117	68	mws(t	mws(t	PROPN
cana-1162	117	69	)	)	PUNCT
cana-1162	117	70	mws(t	mws(t	NOUN
cana-1162	117	71	)	)	PUNCT
cana-1162	117	72	m2	m2	PROPN
cana-1162	117	73	mws(t	mws(t	PROPN
cana-1162	117	74	)	)	PUNCT
cana-1162	117	75	,	,	PUNCT
cana-1162	117	76	mws(t-1	mws(t-1	PROPN
cana-1162	117	77	)	)	PUNCT
cana-1162	117	78	mws(t	mws(t	NOUN
cana-1162	117	79	)	)	PUNCT
cana-1162	117	80	king	king	NOUN
cana-1162	117	81	fahd	fahd	PROPN
cana-1162	117	82	m3	m3	PROPN
cana-1162	117	83	mws(t	mws(t	PROPN
cana-1162	117	84	)	)	PUNCT
cana-1162	117	85	,	,	PUNCT
cana-1162	117	86	mws(t-1	mws(t-1	PROPN
cana-1162	117	87	)	)	PUNCT
cana-1162	117	88	,	,	PUNCT
cana-1162	117	89	mws(t-2	mws(t-2	PROPN
cana-1162	117	90	)	)	PUNCT
cana-1162	117	91	mws(t	mws(t	PROPN
cana-1162	117	92	)	)	PUNCT
cana-1162	117	93	m4	m4	PROPN
cana-1162	117	94	mws(t	mws(t	PROPN
cana-1162	117	95	)	)	PUNCT
cana-1162	117	96	,	,	PUNCT
cana-1162	117	97	mws(t-1	mws(t-1	PROPN
cana-1162	117	98	)	)	PUNCT
cana-1162	117	99	,	,	PUNCT
cana-1162	117	100	mws(t-2	mws(t-2	PROPN
cana-1162	117	101	)	)	PUNCT
cana-1162	117	102	,	,	PUNCT
cana-1162	117	103	mws(t-3	mws(t-3	PROPN
cana-1162	117	104	)	)	PUNCT
cana-1162	117	105	mws(t	mws(t	NOUN
cana-1162	117	106	)	)	PUNCT
cana-1162	117	107	m5	m5	PROPN
cana-1162	117	108	mws(t	mws(t	PROPN
cana-1162	117	109	)	)	PUNCT
cana-1162	117	110	,	,	PUNCT
cana-1162	117	111	mws(t-1	mws(t-1	PROPN
cana-1162	117	112	)	)	PUNCT
cana-1162	117	113	,	,	PUNCT
cana-1162	117	114	mws(t-2	mws(t-2	PROPN
cana-1162	117	115	)	)	PUNCT
cana-1162	117	116	,	,	PUNCT
cana-1162	117	117	mws(t-3	mws(t-3	PROPN
cana-1162	117	118	)	)	PUNCT
cana-1162	117	119	,	,	PUNCT
cana-1162	117	120	mws(t-4	mws(t-4	NOUN
cana-1162	117	121	)	)	PUNCT
cana-1162	117	122	mws(t	mws(t	PROPN
cana-1162	117	123	)	)	PUNCT
cana-1162	117	124	m1	m1	NOUN
cana-1162	117	125	mws(t	mws(t	PROPN
cana-1162	117	126	)	)	PUNCT
cana-1162	117	127	mws(t	mws(t	NOUN
cana-1162	117	128	)	)	PUNCT
cana-1162	117	129	king	king	NOUN
cana-1162	117	130	abdulaziz	abdulaziz	PROPN
cana-1162	117	131	m2	m2	PROPN
cana-1162	117	132	mws(t	mws(t	PROPN
cana-1162	117	133	)	)	PUNCT
cana-1162	117	134	,	,	PUNCT
cana-1162	117	135	mws(t-1	mws(t-1	PROPN
cana-1162	117	136	)	)	PUNCT
cana-1162	117	137	mws(t	mws(t	NOUN
cana-1162	117	138	)	)	PUNCT
cana-1162	117	139	m3	m3	PROPN
cana-1162	117	140	mws(t	mws(t	PROPN
cana-1162	117	141	)	)	PUNCT
cana-1162	117	142	,	,	PUNCT
cana-1162	117	143	mws(t-1	mws(t-1	PROPN
cana-1162	117	144	)	)	PUNCT
cana-1162	117	145	,	,	PUNCT
cana-1162	117	146	mws(t-2	mws(t-2	PROPN
cana-1162	117	147	)	)	PUNCT
cana-1162	117	148	mws(t	mws(t	NOUN
cana-1162	117	149	)	)	PUNCT
cana-1162	117	150	to	to	PART
cana-1162	117	151	identify	identify	VERB
cana-1162	117	152	the	the	DET
cana-1162	117	153	optimal	optimal	ADJ
cana-1162	117	154	input	input	NOUN
cana-1162	117	155	combination	combination	NOUN
cana-1162	117	156	of	of	ADP
cana-1162	117	157	maximum	maximum	ADJ
cana-1162	117	158	wind	wind	NOUN
cana-1162	117	159	speed	speed	NOUN
cana-1162	117	160	,	,	PUNCT
cana-1162	117	161	mathematica	mathematica	PROPN
cana-1162	117	162	software	software	PROPN
cana-1162	117	163	was	be	AUX
cana-1162	117	164	employed	employ	VERB
cana-1162	117	165	to	to	PART
cana-1162	117	166	determine	determine	VERB
cana-1162	117	167	the	the	DET
cana-1162	117	168	optimal	optimal	ADJ
cana-1162	117	169	parameters	parameter	NOUN
cana-1162	117	170	for	for	ADP
cana-1162	117	171	the	the	DET
cana-1162	117	172	models	model	NOUN
cana-1162	117	173	during	during	ADP
cana-1162	117	174	their	their	PRON
cana-1162	117	175	training	training	NOUN
cana-1162	117	176	phase	phase	NOUN
cana-1162	117	177	.	.	PUNCT
cana-1162	118	1	statistical	statistical	ADJ
cana-1162	118	2	and	and	CCONJ
cana-1162	118	3	visual	visual	ADJ
cana-1162	118	4	analysis	analysis	NOUN
cana-1162	118	5	were	be	AUX
cana-1162	118	6	employed	employ	VERB
cana-1162	118	7	to	to	PART
cana-1162	118	8	assess	assess	VERB
cana-1162	118	9	the	the	DET
cana-1162	118	10	effectiveness	effectiveness	NOUN
cana-1162	118	11	of	of	ADP
cana-1162	118	12	two	two	NUM
cana-1162	118	13	standalone	standalone	ADJ
cana-1162	118	14	models	model	NOUN
cana-1162	118	15	(	(	PUNCT
cana-1162	118	16	ann	ann	PROPN
cana-1162	118	17	and	and	CCONJ
cana-1162	118	18	cnn	cnn	PROPN
cana-1162	118	19	)	)	PUNCT
cana-1162	118	20	and	and	CCONJ
cana-1162	118	21	one	one	NUM
cana-1162	118	22	statistical	statistical	ADJ
cana-1162	118	23	model	model	NOUN
cana-1162	118	24	(	(	PUNCT
cana-1162	118	25	arima	arima	PROPN
cana-1162	118	26	)	)	PUNCT
cana-1162	118	27	in	in	ADP
cana-1162	118	28	predicting	predict	VERB
cana-1162	118	29	mws	mws	NOUN
cana-1162	118	30	values	value	NOUN
cana-1162	118	31	.	.	PUNCT
cana-1162	119	1	in	in	ADP
cana-1162	119	2	table	table	NOUN
cana-1162	119	3	3	3	NUM
cana-1162	119	4	,	,	PUNCT
cana-1162	119	5	one	one	PRON
cana-1162	119	6	can	can	AUX
cana-1162	119	7	find	find	VERB
cana-1162	119	8	the	the	DET
cana-1162	119	9	computed	computed	ADJ
cana-1162	119	10	values	value	NOUN
cana-1162	119	11	of	of	ADP
cana-1162	119	12	the	the	DET
cana-1162	119	13	performance	performance	NOUN
cana-1162	119	14	criteria	criterion	NOUN
cana-1162	119	15	,	,	PUNCT
cana-1162	119	16	such	such	ADJ
cana-1162	119	17	as	as	ADP
cana-1162	119	18	coefficient	coefficient	NOUN
cana-1162	119	19	of	of	ADP
cana-1162	119	20	correlation	correlation	NOUN
cana-1162	119	21	(	(	PUNCT
cana-1162	119	22	r	r	NOUN
cana-1162	119	23	)	)	PUNCT
cana-1162	119	24	and	and	CCONJ
cana-1162	119	25	rmse	rmse	NOUN
cana-1162	119	26	,	,	PUNCT
cana-1162	119	27	about	about	ADP
cana-1162	119	28	testing	testing	NOUN
cana-1162	119	29	periods	period	NOUN
cana-1162	119	30	.	.	PUNCT
cana-1162	120	1	moreover	moreover	ADV
cana-1162	120	2	,	,	PUNCT
cana-1162	120	3	the	the	DET
cana-1162	120	4	models	model	NOUN
cana-1162	120	5	'	'	PART
cana-1162	120	6	time	time	NOUN
cana-1162	120	7	series	series	NOUN
cana-1162	120	8	plots	plot	NOUN
cana-1162	120	9	,	,	PUNCT
cana-1162	120	10	scatter	scatter	NOUN
cana-1162	120	11	plots	plot	NOUN
cana-1162	120	12	,	,	PUNCT
cana-1162	120	13	and	and	CCONJ
cana-1162	120	14	violin	violin	NOUN
cana-1162	120	15	plots	plot	NOUN
cana-1162	120	16	are	be	AUX
cana-1162	120	17	provided	provide	VERB
cana-1162	120	18	and	and	CCONJ
cana-1162	120	19	presented	present	VERB
cana-1162	120	20	in	in	ADP
cana-1162	120	21	fig	fig	NOUN
cana-1162	120	22	.	.	PUNCT
cana-1162	121	1	7	7	NUM
cana-1162	121	2	-	-	SYM
cana-1162	121	3	9	9	NUM
cana-1162	121	4	for	for	ADP
cana-1162	121	5	king	king	PROPN
cana-1162	121	6	khalid	khalid	PROPN
cana-1162	121	7	,	,	PUNCT
cana-1162	121	8	king	king	PROPN
cana-1162	121	9	fahd	fahd	PROPN
cana-1162	121	10	,	,	PUNCT
cana-1162	121	11	and	and	CCONJ
cana-1162	121	12	king	king	PROPN
cana-1162	121	13	abdulaziz	abdulaziz	PROPN
cana-1162	121	14	airport	airport	PROPN
cana-1162	121	15	during	during	ADP
cana-1162	121	16	the	the	DET
cana-1162	121	17	testing	testing	NOUN
cana-1162	121	18	period	period	NOUN
cana-1162	121	19	.	.	PUNCT
cana-1162	122	1	the	the	DET
cana-1162	122	2	findings	finding	NOUN
cana-1162	122	3	from	from	ADP
cana-1162	122	4	table	table	NOUN
cana-1162	122	5	3	3	NUM
cana-1162	122	6	reveal	reveal	VERB
cana-1162	122	7	that	that	SCONJ
cana-1162	122	8	within	within	ADP
cana-1162	122	9	the	the	DET
cana-1162	122	10	realm	realm	NOUN
cana-1162	122	11	of	of	ADP
cana-1162	122	12	ann	ann	PROPN
cana-1162	122	13	models	model	NOUN
cana-1162	122	14	,	,	PUNCT
cana-1162	122	15	the	the	DET
cana-1162	122	16	performance	performance	NOUN
cana-1162	122	17	of	of	ADP
cana-1162	122	18	annm3	annm3	NOUN
cana-1162	122	19	for	for	ADP
cana-1162	122	20	king	king	PROPN
cana-1162	122	21	khalid	khalid	PROPN
cana-1162	122	22	,	,	PUNCT
cana-1162	122	23	ann	ann	PROPN
cana-1162	122	24	-	-	PUNCT
cana-1162	122	25	m5	m5	PROPN
cana-1162	122	26	for	for	ADP
cana-1162	122	27	king	king	NOUN
cana-1162	122	28	fahd	fahd	PROPN
cana-1162	122	29	,	,	PUNCT
cana-1162	122	30	and	and	CCONJ
cana-1162	122	31	ann	ann	PROPN
cana-1162	122	32	-	-	PUNCT
cana-1162	122	33	m3	m3	PROPN
cana-1162	122	34	for	for	ADP
cana-1162	122	35	king	king	NOUN
cana-1162	122	36	abdulaziz	abdulaziz	PROPN
cana-1162	122	37	model	model	PROPN
cana-1162	122	38	proved	prove	VERB
cana-1162	122	39	to	to	PART
cana-1162	122	40	be	be	AUX
cana-1162	122	41	good	good	ADJ
cana-1162	122	42	accurate	accurate	ADJ
cana-1162	122	43	during	during	ADP
cana-1162	122	44	the	the	DET
cana-1162	122	45	testing	testing	NOUN
cana-1162	122	46	phase	phase	NOUN
cana-1162	122	47	.	.	PUNCT
cana-1162	123	1	this	this	PRON
cana-1162	123	2	is	be	AUX
cana-1162	123	3	substantiated	substantiate	VERB
cana-1162	123	4	by	by	ADP
cana-1162	123	5	its	its	PRON
cana-1162	123	6	substantial	substantial	ADJ
cana-1162	123	7	r	r	NOUN
cana-1162	123	8	-	-	PUNCT
cana-1162	123	9	value	value	NOUN
cana-1162	123	10	(	(	PUNCT
cana-1162	123	11	0.992	0.992	NUM
cana-1162	123	12	,	,	PUNCT
cana-1162	123	13	0.990	0.990	NUM
cana-1162	123	14	,	,	PUNCT
cana-1162	123	15	0.979	0.979	NUM
cana-1162	123	16	)	)	PUNCT
cana-1162	123	17	and	and	CCONJ
cana-1162	123	18	significantly	significantly	ADV
cana-1162	123	19	reduced	reduce	VERB
cana-1162	123	20	rmse	rmse	NOUN
cana-1162	123	21	value	value	NOUN
cana-1162	123	22	(	(	PUNCT
cana-1162	123	23	1.398	1.398	NUM
cana-1162	123	24	,	,	PUNCT
cana-1162	123	25	1.241	1.241	NUM
cana-1162	123	26	,	,	PUNCT
cana-1162	123	27	1.327	1.327	NUM
cana-1162	123	28	)	)	PUNCT
cana-1162	123	29	,	,	PUNCT
cana-1162	123	30	which	which	PRON
cana-1162	123	31	were	be	AUX
cana-1162	123	32	obtained	obtain	VERB
cana-1162	123	33	through	through	ADP
cana-1162	123	34	utilizing	utilize	VERB
cana-1162	123	35	mws(t	mws(t	PROPN
cana-1162	123	36	)	)	PUNCT
cana-1162	123	37	,	,	PUNCT
cana-1162	123	38	mws(t-1	mws(t-1	PROPN
cana-1162	123	39	)	)	PUNCT
cana-1162	123	40	,	,	PUNCT
cana-1162	123	41	mws(t-2	mws(t-2	PROPN
cana-1162	123	42	)	)	PUNCT
cana-1162	123	43	...	...	PUNCT
cana-1162	124	1	mws(t	mws(t	NOUN
cana-1162	124	2	-	-	PUNCT
cana-1162	124	3	n	n	CCONJ
cana-1162	124	4	)	)	PUNCT
cana-1162	124	5	variables	variable	NOUN
cana-1162	124	6	.	.	PUNCT
cana-1162	125	1	among	among	ADP
cana-1162	125	2	the	the	DET
cana-1162	125	3	cnn	cnn	PROPN
cana-1162	125	4	models	model	NOUN
cana-1162	125	5	,	,	PUNCT
cana-1162	125	6	cnn	cnn	PROPN
cana-1162	125	7	-	-	PUNCT
cana-1162	125	8	m3	m3	PROPN
cana-1162	125	9	for	for	ADP
cana-1162	125	10	all	all	DET
cana-1162	125	11	three	three	NUM
cana-1162	125	12	airports	airport	NOUN
cana-1162	125	13	model	model	NOUN
cana-1162	125	14	estimates	estimate	VERB
cana-1162	125	15	values	value	NOUN
cana-1162	125	16	with	with	ADP
cana-1162	125	17	less	less	ADJ
cana-1162	125	18	error	error	NOUN
cana-1162	125	19	based	base	VERB
cana-1162	125	20	on	on	ADP
cana-1162	125	21	the	the	DET
cana-1162	125	22	most	most	ADJ
cana-1162	125	23	value	value	NOUN
cana-1162	125	24	of	of	ADP
cana-1162	125	25	r	r	NOUN
cana-1162	125	26	(	(	PUNCT
cana-1162	125	27	0.997	0.997	NUM
cana-1162	125	28	,	,	PUNCT
cana-1162	125	29	0.998	0.998	NUM
cana-1162	125	30	,	,	PUNCT
cana-1162	125	31	0.995	0.995	NUM
cana-1162	125	32	)	)	PUNCT
cana-1162	125	33	and	and	CCONJ
cana-1162	125	34	lowest	low	ADJ
cana-1162	125	35	value	value	NOUN
cana-1162	125	36	of	of	ADP
cana-1162	125	37	rmse	rmse	NOUN
cana-1162	125	38	(	(	PUNCT
cana-1162	125	39	0.439	0.439	NUM
cana-1162	125	40	,	,	PUNCT
cana-1162	125	41	0.516	0.516	NUM
cana-1162	125	42	,	,	PUNCT
cana-1162	125	43	0.647	0.647	NUM
cana-1162	125	44	)	)	PUNCT
cana-1162	125	45	in	in	ADP
cana-1162	125	46	the	the	DET
cana-1162	125	47	testing	testing	NOUN
cana-1162	125	48	stage	stage	NOUN
cana-1162	125	49	using	use	VERB
cana-1162	125	50	mws(t	mws(t	PROPN
cana-1162	125	51	)	)	PUNCT
cana-1162	125	52	variables	variable	NOUN
cana-1162	125	53	.	.	PUNCT
cana-1162	126	1	but	but	CCONJ
cana-1162	126	2	arima	arima	NOUN
cana-1162	126	3	models	model	NOUN
cana-1162	126	4	,	,	PUNCT
cana-1162	126	5	for	for	ADP
cana-1162	126	6	respectively	respectively	ADV
cana-1162	126	7	three	three	NUM
cana-1162	126	8	airports	airport	NOUN
cana-1162	126	9	estimate	estimate	VERB
cana-1162	126	10	values	value	NOUN
cana-1162	126	11	with	with	ADP
cana-1162	126	12	high	high	ADJ
cana-1162	126	13	error	error	NOUN
cana-1162	126	14	based	base	VERB
cana-1162	126	15	on	on	ADP
cana-1162	126	16	the	the	DET
cana-1162	126	17	lowest	low	ADJ
cana-1162	126	18	value	value	NOUN
cana-1162	126	19	of	of	ADP
cana-1162	126	20	r	r	NOUN
cana-1162	126	21	(	(	PUNCT
cana-1162	126	22	0.868	0.868	NUM
cana-1162	126	23	,	,	PUNCT
cana-1162	126	24	0.861	0.861	NUM
cana-1162	126	25	,	,	PUNCT
cana-1162	126	26	0.891	0.891	NUM
cana-1162	126	27	)	)	PUNCT
cana-1162	126	28	and	and	CCONJ
cana-1162	126	29	highest	high	ADJ
cana-1162	126	30	value	value	NOUN
cana-1162	126	31	of	of	ADP
cana-1162	126	32	rmse	rmse	NOUN
cana-1162	126	33	(	(	PUNCT
cana-1162	126	34	6.83	6.83	NUM
cana-1162	126	35	,	,	PUNCT
cana-1162	126	36	8.95	8.95	NUM
cana-1162	126	37	,	,	PUNCT
cana-1162	126	38	6.04	6.04	NUM
cana-1162	126	39	)	)	PUNCT
cana-1162	126	40	in	in	ADP
cana-1162	126	41	the	the	DET
cana-1162	126	42	testing	testing	NOUN
cana-1162	126	43	stage	stage	NOUN
cana-1162	126	44	.	.	PUNCT
cana-1162	127	1	the	the	DET
cana-1162	127	2	comparative	comparative	ADJ
cana-1162	127	3	analysis	analysis	NOUN
cana-1162	127	4	between	between	ADP
cana-1162	127	5	the	the	DET
cana-1162	127	6	arima	arima	PROPN
cana-1162	127	7	,	,	PUNCT
cana-1162	127	8	ann	ann	PROPN
cana-1162	127	9	,	,	PUNCT
cana-1162	127	10	and	and	CCONJ
cana-1162	127	11	cnn	cnn	PROPN
cana-1162	127	12	models	model	NOUN
cana-1162	127	13	reveals	reveal	VERB
cana-1162	127	14	that	that	SCONJ
cana-1162	127	15	the	the	DET
cana-1162	127	16	cnn	cnn	PROPN
cana-1162	127	17	model	model	NOUN
cana-1162	127	18	outperforms	outperform	NOUN
cana-1162	127	19	consistently	consistently	ADV
cana-1162	127	20	in	in	ADP
cana-1162	127	21	every	every	DET
cana-1162	127	22	input	input	NOUN
cana-1162	127	23	scenario	scenario	NOUN
cana-1162	127	24	(	(	PUNCT
cana-1162	127	25	m1	m1	PROPN
cana-1162	127	26	-	-	PUNCT
cana-1162	127	27	mn	mn	PROPN
cana-1162	127	28	)	)	PUNCT
cana-1162	127	29	from	from	ADP
cana-1162	127	30	ann	ann	PROPN
cana-1162	127	31	and	and	CCONJ
cana-1162	127	32	arima	arima	PROPN
cana-1162	127	33	models	model	NOUN
cana-1162	127	34	.	.	PUNCT
cana-1162	128	1	table	table	NOUN
cana-1162	128	2	3	3	NUM
cana-1162	128	3	.	.	PUNCT
cana-1162	128	4	performance	performance	NOUN
cana-1162	128	5	criteria	criterion	NOUN
cana-1162	128	6	of	of	ADP
cana-1162	128	7	the	the	DET
cana-1162	128	8	three	three	NUM
cana-1162	128	9	models	model	NOUN
cana-1162	128	10	in	in	ADP
cana-1162	128	11	the	the	DET
cana-1162	128	12	testing	testing	NOUN
cana-1162	128	13	periods	period	NOUN
cana-1162	128	14	for	for	ADP
cana-1162	128	15	selected	select	VERB
cana-1162	128	16	airports	airport	NOUN
cana-1162	128	17	testing	test	VERB
cana-1162	128	18	airports	airport	NOUN
cana-1162	128	19	model	model	NOUN
cana-1162	128	20	r	r	NOUN
cana-1162	128	21	rmse	rmse	NOUN
cana-1162	128	22	(	(	PUNCT
cana-1162	128	23	km	km	NOUN
cana-1162	128	24	/	/	SYM
cana-1162	128	25	h	h	NOUN
cana-1162	128	26	)	)	PUNCT
cana-1162	128	27	arima	arima	NOUN
cana-1162	128	28	0.8682	0.8682	NUM
cana-1162	128	29	6.8341	6.8341	NUM
cana-1162	128	30	ann	ann	PROPN
cana-1162	128	31	-	-	PUNCT
cana-1162	128	32	m1	m1	PROPN
cana-1162	128	33	0.9877	0.9877	NUM
cana-1162	128	34	1.4339	1.4339	NUM
cana-1162	128	35	ann	ann	PROPN
cana-1162	128	36	-	-	PUNCT
cana-1162	128	37	m2	m2	PROPN
cana-1162	128	38	0.9879	0.9879	NUM
cana-1162	128	39	1.4724	1.4724	NUM
cana-1162	128	40	communications	communication	NOUN
cana-1162	128	41	on	on	ADP
cana-1162	128	42	applied	apply	VERB
cana-1162	128	43	nonlinear	nonlinear	ADJ
cana-1162	128	44	analysis	analysis	NOUN
cana-1162	128	45	issn	issn	NOUN
cana-1162	128	46	:	:	PUNCT
cana-1162	128	47	1074	1074	NUM
cana-1162	128	48	-	-	PUNCT
cana-1162	128	49	133x	133x	NUM
cana-1162	128	50	vol	vol	NOUN
cana-1162	128	51	31	31	NUM
cana-1162	128	52	no	no	NOUN
cana-1162	128	53	.	.	PUNCT
cana-1162	129	1	6s	6s	NUM
cana-1162	129	2	(	(	PUNCT
cana-1162	129	3	2024	2024	NUM
cana-1162	129	4	)	)	PUNCT
cana-1162	129	5	90	90	NUM
cana-1162	129	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1162	129	7	ann	ann	PROPN
cana-1162	129	8	-	-	PUNCT
cana-1162	129	9	m3	m3	PROPN
cana-1162	129	10	0.9920	0.9920	NUM
cana-1162	129	11	1.3986	1.3986	NUM
cana-1162	129	12	ann	ann	PROPN
cana-1162	129	13	-	-	PUNCT
cana-1162	129	14	m4	m4	PROPN
cana-1162	129	15	0.9865	0.9865	NUM
cana-1162	129	16	1.6015	1.6015	NUM
cana-1162	129	17	king	king	PROPN
cana-1162	129	18	khalid	khalid	PROPN
cana-1162	129	19	cnn	cnn	PROPN
cana-1162	129	20	-	-	PROPN
cana-1162	129	21	m1	m1	PROPN
cana-1162	129	22	0.9959	0.9959	NUM
cana-1162	129	23	0.6398	0.6398	NUM
cana-1162	129	24	cnn	cnn	PROPN
cana-1162	129	25	-	-	PUNCT
cana-1162	129	26	m2	m2	PROPN
cana-1162	129	27	0.9960	0.9960	NUM
cana-1162	129	28	0.6078	0.6078	NUM
cana-1162	129	29	cnn	cnn	PROPN
cana-1162	129	30	-	-	PUNCT
cana-1162	129	31	m3	m3	PROPN
cana-1162	129	32	0.9978	0.9978	NUM
cana-1162	129	33	0.4391	0.4391	NUM
cana-1162	129	34	cnn	cnn	PROPN
cana-1162	129	35	-	-	PUNCT
cana-1162	129	36	m4	m4	VERB
cana-1162	129	37	0.9973	0.9973	NUM
cana-1162	129	38	0.4922	0.4922	NUM
cana-1162	129	39	arima	arima	PROPN
cana-1162	129	40	0.8608	0.8608	NUM
cana-1162	129	41	8.9500	8.9500	NUM
cana-1162	129	42	ann	ann	PROPN
cana-1162	129	43	-	-	PUNCT
cana-1162	129	44	m1	m1	PROPN
cana-1162	129	45	0.9894	0.9894	NUM
cana-1162	129	46	1.4026	1.4026	NUM
cana-1162	129	47	ann	ann	PROPN
cana-1162	129	48	-	-	PUNCT
cana-1162	129	49	m2	m2	PROPN
cana-1162	129	50	0.9891	0.9891	NUM
cana-1162	129	51	1.4626	1.4626	NUM
cana-1162	129	52	ann	ann	PROPN
cana-1162	129	53	-	-	PUNCT
cana-1162	129	54	m3	m3	PROPN
cana-1162	129	55	0.9827	0.9827	NUM
cana-1162	129	56	2.2216	2.2216	NUM
cana-1162	129	57	ann	ann	PROPN
cana-1162	129	58	-	-	PUNCT
cana-1162	129	59	m4	m4	PROPN
cana-1162	129	60	0.9850	0.9850	NUM
cana-1162	129	61	1.8700	1.8700	NUM
cana-1162	129	62	king	king	NOUN
cana-1162	129	63	fahd	fahd	PROPN
cana-1162	129	64	ann	ann	PROPN
cana-1162	129	65	-	-	PUNCT
cana-1162	129	66	m5	m5	PROPN
cana-1162	129	67	0.9905	0.9905	NUM
cana-1162	129	68	1.2413	1.2413	NUM
cana-1162	129	69	cnn	cnn	PROPN
cana-1162	129	70	-	-	PUNCT
cana-1162	129	71	m1	m1	PROPN
cana-1162	129	72	0.9966	0.9966	NUM
cana-1162	129	73	0.7210	0.7210	NUM
cana-1162	129	74	cnn	cnn	PROPN
cana-1162	129	75	-	-	PUNCT
cana-1162	129	76	m2	m2	PROPN
cana-1162	129	77	0.9975	0.9975	NUM
cana-1162	129	78	0.6809	0.6809	NUM
cana-1162	129	79	cnn	cnn	PROPN
cana-1162	129	80	-	-	PUNCT
cana-1162	129	81	m3	m3	PROPN
cana-1162	129	82	0.9984	0.9984	NUM
cana-1162	129	83	0.5167	0.5167	NUM
cana-1162	129	84	cnn	cnn	PROPN
cana-1162	129	85	-	-	PUNCT
cana-1162	129	86	m4	m4	VERB
cana-1162	129	87	0.9969	0.9969	NUM
cana-1162	129	88	0.7236	0.7236	NUM
cana-1162	129	89	cnn	cnn	PROPN
cana-1162	129	90	-	-	PUNCT
cana-1162	129	91	m5	m5	ADJ
cana-1162	129	92	0.9971	0.9971	NUM
cana-1162	129	93	0.7122	0.7122	NUM
cana-1162	129	94	arima	arima	NOUN
cana-1162	129	95	0.8910	0.8910	NUM
cana-1162	129	96	6.0443	6.0443	NUM
cana-1162	129	97	ann	ann	PROPN
cana-1162	129	98	-	-	PUNCT
cana-1162	129	99	m1	m1	PROPN
cana-1162	129	100	0.9689	0.9689	NUM
cana-1162	129	101	1.4068	1.4068	NUM
cana-1162	129	102	king	king	NOUN
cana-1162	129	103	abdulaziz	abdulaziz	PROPN
cana-1162	129	104	ann	ann	PROPN
cana-1162	129	105	-	-	PUNCT
cana-1162	129	106	m2	m2	PROPN
cana-1162	129	107	0.9765	0.9765	NUM
cana-1162	129	108	1.3920	1.3920	NUM
cana-1162	129	109	ann	ann	PROPN
cana-1162	129	110	-	-	PUNCT
cana-1162	129	111	m3	m3	PROPN
cana-1162	129	112	0.9797	0.9797	NUM
cana-1162	129	113	1.3272	1.3272	NUM
cana-1162	129	114	cnn	cnn	PROPN
cana-1162	129	115	-	-	PUNCT
cana-1162	129	116	m1	m1	PROPN
cana-1162	129	117	0.9945	0.9945	NUM
cana-1162	129	118	0.8976	0.8976	NUM
cana-1162	129	119	cnn	cnn	PROPN
cana-1162	129	120	-	-	PUNCT
cana-1162	129	121	m2	m2	PROPN
cana-1162	129	122	0.9952	0.9952	NUM
cana-1162	129	123	0.7003	0.7003	NUM
cana-1162	129	124	cnn	cnn	PROPN
cana-1162	129	125	-	-	PUNCT
cana-1162	129	126	m3	m3	PROPN
cana-1162	129	127	0.9956	0.9956	NUM
cana-1162	129	128	0.6476	0.6476	NUM
cana-1162	129	129	in	in	ADP
cana-1162	129	130	fig	fig	NOUN
cana-1162	129	131	.	.	PUNCT
cana-1162	130	1	7	7	NUM
cana-1162	130	2	,	,	PUNCT
cana-1162	130	3	we	we	PRON
cana-1162	130	4	compared	compare	VERB
cana-1162	130	5	the	the	DET
cana-1162	130	6	time	time	NOUN
cana-1162	130	7	series	series	PROPN
cana-1162	130	8	graph	graph	NOUN
cana-1162	130	9	of	of	ADP
cana-1162	130	10	the	the	DET
cana-1162	130	11	best	good	ADJ
cana-1162	130	12	models	model	NOUN
cana-1162	130	13	of	of	ADP
cana-1162	130	14	the	the	DET
cana-1162	130	15	arima	arima	PROPN
cana-1162	130	16	,	,	PUNCT
cana-1162	130	17	ann	ann	PROPN
cana-1162	130	18	and	and	CCONJ
cana-1162	130	19	cnn	cnn	PROPN
cana-1162	130	20	models	model	NOUN
cana-1162	130	21	(	(	PUNCT
cana-1162	130	22	arima	arima	PROPN
cana-1162	130	23	,	,	PUNCT
cana-1162	130	24	ann	ann	PROPN
cana-1162	130	25	-	-	PUNCT
cana-1162	130	26	m3	m3	PROPN
cana-1162	130	27	and	and	CCONJ
cana-1162	130	28	cnn	cnn	PROPN
cana-1162	130	29	-	-	PUNCT
cana-1162	130	30	m3	m3	PROPN
cana-1162	130	31	)	)	PUNCT
cana-1162	130	32	for	for	ADP
cana-1162	130	33	king	king	PROPN
cana-1162	130	34	khalid	khalid	PROPN
cana-1162	130	35	,	,	PUNCT
cana-1162	130	36	(	(	PUNCT
cana-1162	130	37	arima	arima	PROPN
cana-1162	130	38	,	,	PUNCT
cana-1162	130	39	ann	ann	PROPN
cana-1162	130	40	-	-	PUNCT
cana-1162	130	41	m5	m5	PROPN
cana-1162	130	42	and	and	CCONJ
cana-1162	130	43	cnn	cnn	PROPN
cana-1162	130	44	-	-	PUNCT
cana-1162	130	45	m3	m3	PROPN
cana-1162	130	46	)	)	PUNCT
cana-1162	130	47	for	for	ADP
cana-1162	130	48	king	king	NOUN
cana-1162	130	49	fahd	fahd	PROPN
cana-1162	130	50	,	,	PUNCT
cana-1162	130	51	and	and	CCONJ
cana-1162	130	52	(	(	PUNCT
cana-1162	130	53	arima	arima	PROPN
cana-1162	130	54	,	,	PUNCT
cana-1162	130	55	ann	ann	PROPN
cana-1162	130	56	-	-	PUNCT
cana-1162	130	57	m3	m3	PROPN
cana-1162	130	58	and	and	CCONJ
cana-1162	130	59	cnn	cnn	PROPN
cana-1162	130	60	-	-	PUNCT
cana-1162	130	61	m3	m3	PROPN
cana-1162	130	62	)	)	PUNCT
cana-1162	130	63	for	for	ADP
cana-1162	130	64	king	king	NOUN
cana-1162	130	65	abdulaziz	abdulaziz	PROPN
cana-1162	130	66	airports	airport	NOUN
cana-1162	130	67	.	.	PUNCT
cana-1162	131	1	as	as	SCONJ
cana-1162	131	2	shown	show	VERB
cana-1162	131	3	in	in	ADP
cana-1162	131	4	fig	fig	NOUN
cana-1162	131	5	.	.	PUNCT
cana-1162	132	1	7	7	NUM
cana-1162	132	2	,	,	PUNCT
cana-1162	132	3	the	the	DET
cana-1162	132	4	time	time	NOUN
cana-1162	132	5	series	series	NOUN
cana-1162	132	6	graphs	graph	NOUN
cana-1162	132	7	of	of	ADP
cana-1162	132	8	the	the	DET
cana-1162	132	9	cnn	cnn	PROPN
cana-1162	132	10	(	(	PUNCT
cana-1162	132	11	m3	m3	PROPN
cana-1162	132	12	)	)	PUNCT
cana-1162	132	13	and	and	CCONJ
cana-1162	132	14	ann	ann	PROPN
cana-1162	132	15	(	(	PUNCT
cana-1162	132	16	m3	m3	PROPN
cana-1162	132	17	and	and	CCONJ
cana-1162	132	18	m5	m5	NOUN
cana-1162	132	19	)	)	PUNCT
cana-1162	132	20	models	model	NOUN
cana-1162	132	21	indicate	indicate	VERB
cana-1162	132	22	accurate	accurate	ADJ
cana-1162	132	23	performance	performance	NOUN
cana-1162	132	24	and	and	CCONJ
cana-1162	132	25	a	a	DET
cana-1162	132	26	noticeable	noticeable	ADJ
cana-1162	132	27	similarity	similarity	NOUN
cana-1162	132	28	between	between	ADP
cana-1162	132	29	them	they	PRON
cana-1162	132	30	.	.	PUNCT
cana-1162	133	1	based	base	VERB
cana-1162	133	2	on	on	ADP
cana-1162	133	3	the	the	DET
cana-1162	133	4	scatter	scatter	NOUN
cana-1162	133	5	plots	plot	NOUN
cana-1162	133	6	in	in	ADP
cana-1162	133	7	fig	fig	NOUN
cana-1162	133	8	.	.	PUNCT
cana-1162	134	1	8	8	NUM
cana-1162	134	2	,	,	PUNCT
cana-1162	134	3	it	it	PRON
cana-1162	134	4	can	can	AUX
cana-1162	134	5	be	be	AUX
cana-1162	134	6	observed	observe	VERB
cana-1162	134	7	that	that	SCONJ
cana-1162	134	8	the	the	DET
cana-1162	134	9	cnn	cnn	PROPN
cana-1162	134	10	model	model	NOUN
cana-1162	134	11	demonstrates	demonstrate	VERB
cana-1162	134	12	the	the	DET
cana-1162	134	13	highest	high	ADJ
cana-1162	134	14	level	level	NOUN
cana-1162	134	15	of	of	ADP
cana-1162	134	16	precision	precision	NOUN
cana-1162	134	17	(	(	PUNCT
cana-1162	134	18	r2	r2	PROPN
cana-1162	134	19	=	=	SYM
cana-1162	134	20	0.994	0.994	NUM
cana-1162	134	21	,	,	PUNCT
cana-1162	134	22	0.996	0.996	NUM
cana-1162	134	23	,	,	PUNCT
cana-1162	134	24	0.990	0.990	NUM
cana-1162	134	25	)	)	PUNCT
cana-1162	134	26	,	,	PUNCT
cana-1162	134	27	(	(	PUNCT
cana-1162	134	28	rmse	rmse	NOUN
cana-1162	134	29	=	=	SYM
cana-1162	134	30	0.439	0.439	NUM
cana-1162	134	31	,	,	PUNCT
cana-1162	134	32	0.516	0.516	NUM
cana-1162	134	33	,	,	PUNCT
cana-1162	134	34	0.647	0.647	NUM
cana-1162	134	35	)	)	PUNCT
cana-1162	134	36	,	,	PUNCT
cana-1162	134	37	whereas	whereas	SCONJ
cana-1162	134	38	the	the	DET
cana-1162	134	39	ann	ann	PROPN
cana-1162	134	40	model	model	NOUN
cana-1162	134	41	displays	display	VERB
cana-1162	134	42	a	a	DET
cana-1162	134	43	broader	broad	ADJ
cana-1162	134	44	distribution	distribution	NOUN
cana-1162	134	45	of	of	ADP
cana-1162	134	46	the	the	DET
cana-1162	134	47	measured	measure	VERB
cana-1162	134	48	and	and	CCONJ
cana-1162	134	49	predicted	predict	VERB
cana-1162	134	50	mwss	mwss	PROPN
cana-1162	134	51	(	(	PUNCT
cana-1162	134	52	r2	r2	PROPN
cana-1162	134	53	=	=	PUNCT
cana-1162	134	54	0.984	0.984	NUM
cana-1162	134	55	,	,	PUNCT
cana-1162	134	56	0.98	0.98	NUM
cana-1162	134	57	,	,	PUNCT
cana-1162	134	58	0.958	0.958	NUM
cana-1162	134	59	)	)	PUNCT
cana-1162	134	60	,	,	PUNCT
cana-1162	134	61	(	(	PUNCT
cana-1162	134	62	rmse	rmse	NOUN
cana-1162	134	63	=	=	SYM
cana-1162	134	64	1.398	1.398	NUM
cana-1162	134	65	,	,	PUNCT
cana-1162	134	66	1.241	1.241	NUM
cana-1162	134	67	,	,	PUNCT
cana-1162	134	68	1.327	1.327	NUM
cana-1162	134	69	)	)	PUNCT
cana-1162	134	70	and	and	CCONJ
cana-1162	134	71	the	the	DET
cana-1162	134	72	arima	arima	PROPN
cana-1162	134	73	model	model	NOUN
cana-1162	134	74	displays	display	VERB
cana-1162	134	75	a	a	DET
cana-1162	134	76	wider	wide	ADJ
cana-1162	134	77	distribution	distribution	NOUN
cana-1162	134	78	compare	compare	VERB
cana-1162	134	79	two	two	NUM
cana-1162	134	80	machine	machine	NOUN
cana-1162	134	81	learning	learning	NOUN
cana-1162	134	82	models	model	NOUN
cana-1162	134	83	(	(	PUNCT
cana-1162	134	84	r2	r2	NOUN
cana-1162	134	85	=	=	PUNCT
cana-1162	134	86	0.753	0.753	NUM
cana-1162	134	87	,	,	PUNCT
cana-1162	134	88	0.741	0.741	NUM
cana-1162	134	89	,	,	PUNCT
cana-1162	134	90	0.793	0.793	NUM
cana-1162	134	91	)	)	PUNCT
cana-1162	134	92	,	,	PUNCT
cana-1162	134	93	(	(	PUNCT
cana-1162	135	1	rmse	rmse	NOUN
cana-1162	135	2	=	=	SYM
cana-1162	135	3	6.83	6.83	NUM
cana-1162	135	4	,	,	PUNCT
cana-1162	135	5	8.95	8.95	NUM
cana-1162	135	6	,	,	PUNCT
cana-1162	135	7	6.04	6.04	NUM
cana-1162	135	8	)	)	PUNCT
cana-1162	135	9	.	.	PUNCT
cana-1162	136	1	in	in	ADP
cana-1162	136	2	fig	fig	NOUN
cana-1162	136	3	.	.	PUNCT
cana-1162	137	1	8	8	NUM
cana-1162	137	2	,	,	PUNCT
cana-1162	137	3	it	it	PRON
cana-1162	137	4	is	be	AUX
cana-1162	137	5	seen	see	VERB
cana-1162	137	6	that	that	SCONJ
cana-1162	137	7	the	the	DET
cana-1162	137	8	relative	relative	ADJ
cana-1162	137	9	errors	error	NOUN
cana-1162	137	10	for	for	ADP
cana-1162	137	11	ann	ann	PROPN
cana-1162	137	12	models	model	NOUN
cana-1162	137	13	are	be	AUX
cana-1162	137	14	situated	situate	VERB
cana-1162	137	15	within	within	ADP
cana-1162	137	16	the	the	DET
cana-1162	137	17	range	range	NOUN
cana-1162	137	18	of	of	ADP
cana-1162	137	19	-3	-3	INTJ
cana-1162	137	20	to	to	ADP
cana-1162	137	21	3	3	NUM
cana-1162	137	22	,	,	PUNCT
cana-1162	137	23	whereas	whereas	SCONJ
cana-1162	137	24	for	for	ADP
cana-1162	137	25	cnn	cnn	NOUN
cana-1162	137	26	models	model	NOUN
cana-1162	137	27	they	they	PRON
cana-1162	137	28	lie	lie	VERB
cana-1162	137	29	between	between	ADP
cana-1162	137	30	0.7	0.7	NUM
cana-1162	137	31	and	and	CCONJ
cana-1162	137	32	0.7	0.7	NUM
cana-1162	137	33	and	and	CCONJ
cana-1162	137	34	arima	arima	NOUN
cana-1162	137	35	models	model	NOUN
cana-1162	137	36	are	be	AUX
cana-1162	137	37	situated	situate	VERB
cana-1162	137	38	within	within	ADP
cana-1162	137	39	the	the	DET
cana-1162	137	40	range	range	NOUN
cana-1162	137	41	of	of	ADP
cana-1162	137	42	-20	-20	NUM
cana-1162	137	43	to	to	ADP
cana-1162	137	44	20	20	NUM
cana-1162	137	45	.	.	PUNCT
cana-1162	138	1	nevertheless	nevertheless	ADV
cana-1162	138	2	,	,	PUNCT
cana-1162	138	3	it	it	PRON
cana-1162	138	4	is	be	AUX
cana-1162	138	5	noteworthy	noteworthy	ADJ
cana-1162	138	6	that	that	SCONJ
cana-1162	138	7	the	the	DET
cana-1162	138	8	majority	majority	NOUN
cana-1162	138	9	of	of	ADP
cana-1162	138	10	forecasted	forecast	VERB
cana-1162	138	11	values	value	NOUN
cana-1162	138	12	in	in	ADP
cana-1162	138	13	the	the	DET
cana-1162	138	14	cnn	cnn	PROPN
cana-1162	138	15	model	model	NOUN
cana-1162	138	16	have	have	VERB
cana-1162	138	17	comparatively	comparatively	ADV
cana-1162	138	18	more	more	ADJ
cana-1162	138	19	miner	miner	NOUN
cana-1162	138	20	relative	relative	ADJ
cana-1162	138	21	errors	error	NOUN
cana-1162	138	22	than	than	ADP
cana-1162	138	23	those	those	PRON
cana-1162	138	24	in	in	ADP
cana-1162	138	25	the	the	DET
cana-1162	138	26	arima	arima	NOUN
cana-1162	138	27	,	,	PUNCT
cana-1162	138	28	and	and	CCONJ
cana-1162	138	29	ann	ann	PROPN
cana-1162	138	30	models	model	NOUN
cana-1162	138	31	.	.	PUNCT
cana-1162	139	1	the	the	DET
cana-1162	139	2	violin	violin	NOUN
cana-1162	139	3	plot	plot	NOUN
cana-1162	139	4	in	in	ADP
cana-1162	139	5	fig	fig	NOUN
cana-1162	139	6	.	.	PUNCT
cana-1162	140	1	9	9	NUM
cana-1162	140	2	reveals	reveal	VERB
cana-1162	140	3	that	that	SCONJ
cana-1162	140	4	three	three	NUM
cana-1162	140	5	models	model	NOUN
cana-1162	140	6	resemble	resemble	VERB
cana-1162	140	7	each	each	DET
cana-1162	140	8	other	other	ADJ
cana-1162	140	9	and	and	CCONJ
cana-1162	140	10	the	the	DET
cana-1162	140	11	observed	observed	ADJ
cana-1162	140	12	values	value	NOUN
cana-1162	140	13	in	in	ADP
cana-1162	140	14	terms	term	NOUN
cana-1162	140	15	of	of	ADP
cana-1162	140	16	violin	violin	NOUN
cana-1162	140	17	shape	shape	NOUN
cana-1162	140	18	.	.	PUNCT
cana-1162	141	1	nonetheless	nonetheless	ADV
cana-1162	141	2	,	,	PUNCT
cana-1162	141	3	due	due	ADP
cana-1162	141	4	to	to	ADP
cana-1162	141	5	its	its	PRON
cana-1162	141	6	minimal	minimal	ADJ
cana-1162	141	7	disparity	disparity	NOUN
cana-1162	141	8	,	,	PUNCT
cana-1162	141	9	the	the	DET
cana-1162	141	10	cnn	cnn	PROPN
cana-1162	141	11	model	model	NOUN
cana-1162	141	12	stands	stand	VERB
cana-1162	141	13	out	out	ADP
cana-1162	141	14	by	by	ADP
cana-1162	141	15	closely	closely	ADV
cana-1162	141	16	resembling	resemble	VERB
cana-1162	141	17	the	the	DET
cana-1162	141	18	violin	violin	NOUN
cana-1162	141	19	shape	shape	NOUN
cana-1162	141	20	of	of	ADP
cana-1162	141	21	the	the	DET
cana-1162	141	22	observed	observe	VERB
cana-1162	141	23	values	value	NOUN
cana-1162	141	24	.	.	PUNCT
cana-1162	142	1	communications	communication	NOUN
cana-1162	142	2	on	on	ADP
cana-1162	142	3	applied	apply	VERB
cana-1162	142	4	nonlinear	nonlinear	ADJ
cana-1162	142	5	analysis	analysis	NOUN
cana-1162	142	6	issn	issn	NOUN
cana-1162	142	7	:	:	PUNCT
cana-1162	142	8	1074	1074	NUM
cana-1162	142	9	-	-	PUNCT
cana-1162	142	10	133x	133x	NUM
cana-1162	142	11	vol	vol	NOUN
cana-1162	142	12	31	31	NUM
cana-1162	142	13	no	no	NOUN
cana-1162	142	14	.	.	PUNCT
cana-1162	143	1	6s	6s	NUM
cana-1162	143	2	(	(	PUNCT
cana-1162	143	3	2024	2024	NUM
cana-1162	143	4	)	)	PUNCT
cana-1162	143	5	91	91	NUM
cana-1162	143	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1162	143	7	fig	fig	NOUN
cana-1162	143	8	.	.	PUNCT
cana-1162	144	1	7	7	NUM
cana-1162	144	2	time	time	NOUN
cana-1162	144	3	series	series	NOUN
cana-1162	144	4	for	for	ADP
cana-1162	144	5	king	king	PROPN
cana-1162	144	6	khalid	khalid	PROPN
cana-1162	144	7	(	(	PUNCT
cana-1162	144	8	a	a	NOUN
cana-1162	144	9	)	)	PUNCT
cana-1162	144	10	king	king	NOUN
cana-1162	144	11	fahd(b	fahd(b	PROPN
cana-1162	144	12	)	)	PUNCT
cana-1162	144	13	,	,	PUNCT
cana-1162	144	14	king	king	PROPN
cana-1162	144	15	abdulaziz	abdulaziz	PROPN
cana-1162	144	16	(	(	PUNCT
cana-1162	144	17	c	c	NOUN
cana-1162	144	18	)	)	PUNCT
cana-1162	144	19	airports	airport	NOUN
cana-1162	144	20	of	of	ADP
cana-1162	144	21	the	the	DET
cana-1162	144	22	observed	observe	VERB
cana-1162	144	23	and	and	CCONJ
cana-1162	144	24	forecasted	forecast	VERB
cana-1162	144	25	mws(t	mws(t	PROPN
cana-1162	144	26	)	)	PUNCT
cana-1162	144	27	for	for	ADP
cana-1162	144	28	the	the	DET
cana-1162	144	29	best	good	ADJ
cana-1162	144	30	arima	arima	NOUN
cana-1162	144	31	,	,	PUNCT
cana-1162	144	32	ann	ann	PROPN
cana-1162	144	33	and	and	CCONJ
cana-1162	144	34	cnn	cnn	PROPN
cana-1162	144	35	models	model	NOUN
cana-1162	144	36	at	at	ADP
cana-1162	144	37	the	the	DET
cana-1162	144	38	testing	testing	NOUN
cana-1162	144	39	stage	stage	NOUN
cana-1162	144	40	communications	communication	NOUN
cana-1162	144	41	on	on	ADP
cana-1162	144	42	applied	apply	VERB
cana-1162	144	43	nonlinear	nonlinear	ADJ
cana-1162	144	44	analysis	analysis	NOUN
cana-1162	144	45	issn	issn	NOUN
cana-1162	144	46	:	:	PUNCT
cana-1162	144	47	1074	1074	NUM
cana-1162	144	48	-	-	PUNCT
cana-1162	144	49	133x	133x	NUM
cana-1162	144	50	vol	vol	NOUN
cana-1162	144	51	31	31	NUM
cana-1162	144	52	no	no	NOUN
cana-1162	144	53	.	.	PUNCT
cana-1162	145	1	6s	6s	NUM
cana-1162	145	2	(	(	PUNCT
cana-1162	145	3	2024	2024	NUM
cana-1162	145	4	)	)	PUNCT
cana-1162	145	5	92	92	NUM
cana-1162	145	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1162	145	7	fig	fig	NOUN
cana-1162	145	8	.	.	PUNCT
cana-1162	146	1	8	8	NUM
cana-1162	146	2	scatter	scatter	NOUN
cana-1162	146	3	plot	plot	NOUN
cana-1162	146	4	and	and	CCONJ
cana-1162	146	5	relative	relative	ADJ
cana-1162	146	6	errors	error	NOUN
cana-1162	146	7	for	for	ADP
cana-1162	146	8	three	three	NUM
cana-1162	146	9	selected	select	VERB
cana-1162	146	10	airports	airport	NOUN
cana-1162	146	11	of	of	ADP
cana-1162	146	12	the	the	DET
cana-1162	146	13	observed	observe	VERB
cana-1162	146	14	and	and	CCONJ
cana-1162	146	15	forecasted	forecast	VERB
cana-1162	146	16	mws(t	mws(t	PROPN
cana-1162	146	17	)	)	PUNCT
cana-1162	146	18	for	for	ADP
cana-1162	146	19	the	the	DET
cana-1162	146	20	best	good	ADJ
cana-1162	146	21	arima	arima	NOUN
cana-1162	146	22	,	,	PUNCT
cana-1162	146	23	ann	ann	PROPN
cana-1162	146	24	and	and	CCONJ
cana-1162	146	25	cnn	cnn	PROPN
cana-1162	146	26	models	model	NOUN
cana-1162	146	27	at	at	ADP
cana-1162	146	28	the	the	DET
cana-1162	146	29	testing	testing	NOUN
cana-1162	146	30	stage	stage	NOUN
cana-1162	146	31	the	the	DET
cana-1162	146	32	violin	violin	NOUN
cana-1162	146	33	diagram	diagram	NOUN
cana-1162	146	34	in	in	ADP
cana-1162	146	35	fig	fig	NOUN
cana-1162	146	36	.	.	PUNCT
cana-1162	147	1	9	9	NUM
cana-1162	147	2	shows	show	VERB
cana-1162	147	3	that	that	SCONJ
cana-1162	147	4	both	both	PRON
cana-1162	147	5	cnn	cnn	PROPN
cana-1162	147	6	and	and	CCONJ
cana-1162	147	7	ann	ann	PROPN
cana-1162	147	8	models	model	NOUN
cana-1162	147	9	have	have	VERB
cana-1162	147	10	violin	violin	NOUN
cana-1162	147	11	shapes	shape	NOUN
cana-1162	147	12	similar	similar	ADJ
cana-1162	147	13	to	to	ADP
cana-1162	147	14	each	each	DET
cana-1162	147	15	other	other	ADJ
cana-1162	147	16	and	and	CCONJ
cana-1162	147	17	similar	similar	ADJ
cana-1162	147	18	to	to	ADP
cana-1162	147	19	the	the	DET
cana-1162	147	20	observed	observed	ADJ
cana-1162	147	21	sample	sample	NOUN
cana-1162	147	22	.	.	PUNCT
cana-1162	148	1	also	also	ADV
cana-1162	148	2	,	,	PUNCT
cana-1162	148	3	the	the	DET
cana-1162	148	4	cnn	cnn	PROPN
cana-1162	148	5	-	-	PUNCT
cana-1162	148	6	m3	m3	PROPN
cana-1162	148	7	model	model	NOUN
cana-1162	148	8	for	for	ADP
cana-1162	148	9	all	all	DET
cana-1162	148	10	three	three	NUM
cana-1162	148	11	airports	airport	NOUN
cana-1162	148	12	performed	perform	VERB
cana-1162	148	13	better	well	ADV
cana-1162	148	14	than	than	ADP
cana-1162	148	15	the	the	DET
cana-1162	148	16	ann	ann	PROPN
cana-1162	148	17	-	-	PUNCT
cana-1162	148	18	m3	m3	PROPN
cana-1162	148	19	models	model	NOUN
cana-1162	148	20	for	for	ADP
cana-1162	148	21	kkia	kkia	PROPN
cana-1162	148	22	,	,	PUNCT
cana-1162	148	23	ann	ann	PROPN
cana-1162	148	24	-	-	PUNCT
cana-1162	148	25	m5	m5	PROPN
cana-1162	148	26	for	for	ADP
cana-1162	148	27	kfia	kfia	NOUN
cana-1162	148	28	,	,	PUNCT
cana-1162	148	29	and	and	CCONJ
cana-1162	148	30	ann	ann	PROPN
cana-1162	148	31	-	-	PUNCT
cana-1162	148	32	m3	m3	PROPN
cana-1162	148	33	for	for	ADP
cana-1162	148	34	kaia	kaia	PROPN
cana-1162	148	35	.	.	PUNCT
cana-1162	149	1	comparing	compare	VERB
cana-1162	149	2	the	the	DET
cana-1162	149	3	arima	arima	PROPN
cana-1162	149	4	model	model	NOUN
cana-1162	149	5	with	with	ADP
cana-1162	149	6	the	the	DET
cana-1162	149	7	other	other	ADJ
cana-1162	149	8	two	two	NUM
cana-1162	149	9	models	model	NOUN
cana-1162	149	10	,	,	PUNCT
cana-1162	149	11	this	this	DET
cana-1162	149	12	model	model	NOUN
cana-1162	149	13	does	do	AUX
cana-1162	149	14	not	not	PART
cana-1162	149	15	have	have	VERB
cana-1162	149	16	an	an	DET
cana-1162	149	17	acceptable	acceptable	ADJ
cana-1162	149	18	performance	performance	NOUN
cana-1162	149	19	with	with	ADP
cana-1162	149	20	very	very	ADV
cana-1162	149	21	poor	poor	ADJ
cana-1162	149	22	similarity	similarity	NOUN
cana-1162	149	23	.	.	PUNCT
cana-1162	150	1	hence	hence	ADV
cana-1162	150	2	,	,	PUNCT
cana-1162	150	3	the	the	DET
cana-1162	150	4	convolution	convolution	NOUN
cana-1162	150	5	neural	neural	ADJ
cana-1162	150	6	network	network	NOUN
cana-1162	150	7	model	model	NOUN
cana-1162	150	8	is	be	AUX
cana-1162	150	9	determined	determine	VERB
cana-1162	150	10	to	to	PART
cana-1162	150	11	possess	possess	VERB
cana-1162	150	12	superior	superior	ADJ
cana-1162	150	13	capability	capability	NOUN
cana-1162	150	14	in	in	ADP
cana-1162	150	15	estimating	estimate	VERB
cana-1162	150	16	mws(t	mws(t	PROPN
cana-1162	150	17	)	)	PUNCT
cana-1162	150	18	at	at	ADP
cana-1162	150	19	king	king	PROPN
cana-1162	150	20	khalid	khalid	PROPN
cana-1162	150	21	,	,	PUNCT
cana-1162	150	22	king	king	PROPN
cana-1162	150	23	fahd	fahd	PROPN
cana-1162	150	24	,	,	PUNCT
cana-1162	150	25	and	and	CCONJ
cana-1162	150	26	king	king	PROPN
cana-1162	150	27	abdulaziz	abdulaziz	PROPN
cana-1162	150	28	international	international	PROPN
cana-1162	150	29	airports	airport	NOUN
cana-1162	150	30	compared	compare	VERB
cana-1162	150	31	to	to	ADP
cana-1162	150	32	the	the	DET
cana-1162	150	33	artificial	artificial	ADJ
cana-1162	150	34	neural	neural	ADJ
cana-1162	150	35	network	network	NOUN
cana-1162	150	36	and	and	CCONJ
cana-1162	150	37	autoregressive	autoregressive	ADJ
cana-1162	150	38	integrated	integrated	ADJ
cana-1162	150	39	moving	move	VERB
cana-1162	150	40	average	average	ADJ
cana-1162	150	41	models	model	NOUN
cana-1162	150	42	.	.	PUNCT
cana-1162	151	1	fig	fig	NOUN
cana-1162	151	2	.	.	PUNCT
cana-1162	152	1	10	10	NUM
cana-1162	152	2	,	,	PUNCT
cana-1162	152	3	the	the	DET
cana-1162	152	4	employed	employ	VERB
cana-1162	152	5	layers	layer	NOUN
cana-1162	152	6	and	and	CCONJ
cana-1162	152	7	modeling	modeling	NOUN
cana-1162	152	8	process	process	NOUN
cana-1162	152	9	associated	associate	VERB
cana-1162	152	10	with	with	ADP
cana-1162	152	11	the	the	DET
cana-1162	152	12	superior	superior	ADJ
cana-1162	152	13	scenario	scenario	NOUN
cana-1162	152	14	of	of	ADP
cana-1162	152	15	both	both	CCONJ
cana-1162	152	16	ann	ann	PROPN
cana-1162	152	17	and	and	CCONJ
cana-1162	152	18	cnn	cnn	PROPN
cana-1162	152	19	models	model	NOUN
cana-1162	152	20	are	be	AUX
cana-1162	152	21	illustrated	illustrate	VERB
cana-1162	152	22	.	.	PUNCT
cana-1162	153	1	communications	communication	NOUN
cana-1162	153	2	on	on	ADP
cana-1162	153	3	applied	apply	VERB
cana-1162	153	4	nonlinear	nonlinear	ADJ
cana-1162	153	5	analysis	analysis	NOUN
cana-1162	153	6	issn	issn	NOUN
cana-1162	153	7	:	:	PUNCT
cana-1162	153	8	1074	1074	NUM
cana-1162	153	9	-	-	PUNCT
cana-1162	153	10	133x	133x	NUM
cana-1162	153	11	vol	vol	NOUN
cana-1162	153	12	31	31	NUM
cana-1162	153	13	no	no	NOUN
cana-1162	153	14	.	.	PUNCT
cana-1162	154	1	6s	6s	NUM
cana-1162	154	2	(	(	PUNCT
cana-1162	154	3	2024	2024	NUM
cana-1162	154	4	)	)	PUNCT
cana-1162	154	5	93	93	NUM
cana-1162	154	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1162	154	7	fig	fig	NOUN
cana-1162	154	8	.	.	PUNCT
cana-1162	155	1	9	9	NUM
cana-1162	155	2	violon	violon	NOUN
cana-1162	155	3	plot	plot	NOUN
cana-1162	155	4	for	for	ADP
cana-1162	155	5	king	king	PROPN
cana-1162	155	6	khalid	khalid	PROPN
cana-1162	155	7	(	(	PUNCT
cana-1162	155	8	a	a	NOUN
cana-1162	155	9	)	)	PUNCT
cana-1162	155	10	king	king	NOUN
cana-1162	155	11	fahd(b	fahd(b	PROPN
cana-1162	155	12	)	)	PUNCT
cana-1162	155	13	,	,	PUNCT
cana-1162	155	14	king	king	PROPN
cana-1162	155	15	abdulaziz	abdulaziz	PROPN
cana-1162	155	16	(	(	PUNCT
cana-1162	155	17	c	c	NOUN
cana-1162	155	18	)	)	PUNCT
cana-1162	155	19	airports	airport	NOUN
cana-1162	155	20	of	of	ADP
cana-1162	155	21	the	the	DET
cana-1162	155	22	observed	observe	VERB
cana-1162	155	23	and	and	CCONJ
cana-1162	155	24	forecasted	forecast	VERB
cana-1162	155	25	mws(t	mws(t	PROPN
cana-1162	155	26	)	)	PUNCT
cana-1162	155	27	for	for	ADP
cana-1162	155	28	the	the	DET
cana-1162	155	29	best	good	ADJ
cana-1162	155	30	three	three	NUM
cana-1162	155	31	models	model	NOUN
cana-1162	155	32	at	at	ADP
cana-1162	155	33	the	the	DET
cana-1162	155	34	testing	testing	NOUN
cana-1162	155	35	stage	stage	NOUN
cana-1162	155	36	fig	fig	NOUN
cana-1162	155	37	.	.	PUNCT
cana-1162	156	1	10	10	NUM
cana-1162	156	2	modeling	modeling	NOUN
cana-1162	156	3	process	process	NOUN
cana-1162	156	4	of	of	ADP
cana-1162	156	5	the	the	DET
cana-1162	156	6	observed	observe	VERB
cana-1162	156	7	and	and	CCONJ
cana-1162	156	8	forecasted	forecast	VERB
cana-1162	156	9	mws(t	mws(t	PROPN
cana-1162	156	10	)	)	PUNCT
cana-1162	156	11	for	for	ADP
cana-1162	156	12	the	the	DET
cana-1162	156	13	best	good	ADJ
cana-1162	156	14	ann	ann	PROPN
cana-1162	156	15	and	and	CCONJ
cana-1162	156	16	cnn	cnn	PROPN
cana-1162	156	17	models	model	NOUN
cana-1162	156	18	3.2	3.2	NUM
cana-1162	156	19	.	.	PUNCT
cana-1162	157	1	discussion	discussion	NOUN
cana-1162	157	2	the	the	DET
cana-1162	157	3	cnn	cnn	PROPN
cana-1162	157	4	model	model	NOUN
cana-1162	157	5	was	be	AUX
cana-1162	157	6	effective	effective	ADJ
cana-1162	157	7	in	in	ADP
cana-1162	157	8	producing	produce	VERB
cana-1162	157	9	precise	precise	ADJ
cana-1162	157	10	mws	mws	NOUN
cana-1162	157	11	predictions	prediction	NOUN
cana-1162	157	12	,	,	PUNCT
cana-1162	157	13	particularly	particularly	ADV
cana-1162	157	14	for	for	ADP
cana-1162	157	15	the	the	DET
cana-1162	157	16	most	most	ADV
cana-1162	157	17	extreme	extreme	ADJ
cana-1162	157	18	maximum	maximum	ADJ
cana-1162	157	19	values	value	NOUN
cana-1162	157	20	.	.	PUNCT
cana-1162	158	1	comparing	compare	VERB
cana-1162	158	2	the	the	DET
cana-1162	158	3	cnn	cnn	PROPN
cana-1162	158	4	model	model	NOUN
cana-1162	158	5	to	to	ADP
cana-1162	158	6	the	the	DET
cana-1162	158	7	ann	ann	PROPN
cana-1162	158	8	,	,	PUNCT
cana-1162	158	9	and	and	CCONJ
cana-1162	158	10	arima	arima	NOUN
cana-1162	158	11	models	model	NOUN
cana-1162	158	12	in	in	ADP
cana-1162	158	13	terms	term	NOUN
cana-1162	158	14	of	of	ADP
cana-1162	158	15	statistical	statistical	ADJ
cana-1162	158	16	indicators	indicator	NOUN
cana-1162	158	17	and	and	CCONJ
cana-1162	158	18	diverse	diverse	ADJ
cana-1162	158	19	graphical	graphical	ADJ
cana-1162	158	20	representations	representation	NOUN
cana-1162	158	21	,	,	PUNCT
cana-1162	158	22	it	it	PRON
cana-1162	158	23	was	be	AUX
cana-1162	158	24	observed	observe	VERB
cana-1162	158	25	that	that	SCONJ
cana-1162	158	26	the	the	DET
cana-1162	158	27	cnn	cnn	PROPN
cana-1162	158	28	model	model	NOUN
cana-1162	158	29	exhibited	exhibit	VERB
cana-1162	158	30	superior	superior	ADJ
cana-1162	158	31	performance	performance	NOUN
cana-1162	158	32	in	in	ADP
cana-1162	158	33	forecasting	forecast	VERB
cana-1162	158	34	maximum	maximum	ADJ
cana-1162	158	35	wind	wind	NOUN
cana-1162	158	36	speed	speed	NOUN
cana-1162	158	37	in	in	ADP
cana-1162	158	38	king	king	PROPN
cana-1162	158	39	khalid	khalid	PROPN
cana-1162	158	40	,	,	PUNCT
cana-1162	158	41	king	king	PROPN
cana-1162	158	42	fahd	fahd	PROPN
cana-1162	158	43	,	,	PUNCT
cana-1162	158	44	and	and	CCONJ
cana-1162	158	45	king	king	PROPN
cana-1162	158	46	abdulaziz	abdulaziz	PROPN
cana-1162	158	47	international	international	PROPN
cana-1162	158	48	airports	airport	NOUN
cana-1162	158	49	.	.	PUNCT
cana-1162	159	1	increased	increase	VERB
cana-1162	159	2	precision	precision	NOUN
cana-1162	159	3	and	and	CCONJ
cana-1162	159	4	reduced	reduced	ADJ
cana-1162	159	5	variance	variance	NOUN
cana-1162	159	6	are	be	AUX
cana-1162	159	7	achieved	achieve	VERB
cana-1162	159	8	in	in	ADP
cana-1162	159	9	the	the	DET
cana-1162	159	10	cnn	cnn	PROPN
cana-1162	159	11	technique	technique	NOUN
cana-1162	159	12	through	through	ADP
cana-1162	159	13	the	the	DET
cana-1162	159	14	implementation	implementation	NOUN
cana-1162	159	15	of	of	ADP
cana-1162	159	16	ensemble	ensemble	ADJ
cana-1162	159	17	learning	learning	NOUN
cana-1162	159	18	,	,	PUNCT
cana-1162	159	19	thereby	thereby	ADV
cana-1162	159	20	minimizing	minimize	VERB
cana-1162	159	21	overfitting	overfitte	VERB
cana-1162	159	22	and	and	CCONJ
cana-1162	159	23	enhancing	enhance	VERB
cana-1162	159	24	model	model	NOUN
cana-1162	159	25	stability	stability	NOUN
cana-1162	159	26	.	.	PUNCT
cana-1162	160	1	the	the	DET
cana-1162	160	2	accuracy	accuracy	NOUN
cana-1162	160	3	of	of	ADP
cana-1162	160	4	this	this	DET
cana-1162	160	5	study	study	NOUN
cana-1162	160	6	aligns	align	VERB
cana-1162	160	7	with	with	ADP
cana-1162	160	8	previous	previous	ADJ
cana-1162	160	9	research	research	NOUN
cana-1162	160	10	(	(	PUNCT
cana-1162	160	11	e.g.	e.g.	ADV
cana-1162	160	12	,	,	PUNCT
cana-1162	160	13	lawal	lawal	PROPN
cana-1162	160	14	et	et	PROPN
cana-1162	160	15	al	al	PROPN
cana-1162	160	16	.	.	PROPN
cana-1162	160	17	2021	2021	NUM
cana-1162	160	18	;	;	PUNCT
cana-1162	160	19	zhu	zhu	PROPN
cana-1162	160	20	et	et	PROPN
cana-1162	160	21	al	al	PROPN
cana-1162	160	22	.	.	PROPN
cana-1162	160	23	2021	2021	NUM
cana-1162	160	24	;	;	PUNCT
cana-1162	160	25	fukuoka	fukuoka	PROPN
cana-1162	160	26	et	et	PROPN
cana-1162	160	27	al	al	PROPN
cana-1162	160	28	.	.	PROPN
cana-1162	160	29	2018	2018	NUM
cana-1162	160	30	)	)	PUNCT
cana-1162	160	31	,	,	PUNCT
cana-1162	160	32	wherein	wherein	SCONJ
cana-1162	160	33	implementing	implement	VERB
cana-1162	160	34	a	a	DET
cana-1162	160	35	cnn	cnn	PROPN
cana-1162	160	36	model	model	NOUN
cana-1162	160	37	led	lead	VERB
cana-1162	160	38	to	to	ADP
cana-1162	160	39	a	a	DET
cana-1162	160	40	substantial	substantial	ADJ
cana-1162	160	41	increase	increase	NOUN
cana-1162	160	42	.	.	PUNCT
cana-1162	161	1	it	it	PRON
cana-1162	161	2	is	be	AUX
cana-1162	161	3	worth	worth	ADJ
cana-1162	161	4	communications	communication	NOUN
cana-1162	161	5	on	on	ADP
cana-1162	161	6	applied	apply	VERB
cana-1162	161	7	nonlinear	nonlinear	ADJ
cana-1162	161	8	analysis	analysis	NOUN
cana-1162	161	9	issn	issn	NOUN
cana-1162	161	10	:	:	PUNCT
cana-1162	161	11	1074	1074	NUM
cana-1162	161	12	-	-	PUNCT
cana-1162	161	13	133x	133x	NUM
cana-1162	161	14	vol	vol	NOUN
cana-1162	161	15	31	31	NUM
cana-1162	161	16	no	no	NOUN
cana-1162	161	17	.	.	PUNCT
cana-1162	162	1	6s	6s	NUM
cana-1162	162	2	(	(	PUNCT
cana-1162	162	3	2024	2024	NUM
cana-1162	162	4	)	)	PUNCT
cana-1162	162	5	94	94	NUM
cana-1162	163	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1162	163	2	mentioning	mention	VERB
cana-1162	163	3	that	that	SCONJ
cana-1162	163	4	there	there	PRON
cana-1162	163	5	has	have	AUX
cana-1162	163	6	n't	not	PART
cana-1162	163	7	been	be	AUX
cana-1162	163	8	any	any	DET
cana-1162	163	9	investigation	investigation	NOUN
cana-1162	163	10	or	or	CCONJ
cana-1162	163	11	evaluation	evaluation	NOUN
cana-1162	163	12	of	of	ADP
cana-1162	163	13	the	the	DET
cana-1162	163	14	use	use	NOUN
cana-1162	163	15	of	of	ADP
cana-1162	163	16	the	the	DET
cana-1162	163	17	standalone	standalone	ADJ
cana-1162	163	18	cnn	cnn	PROPN
cana-1162	163	19	model	model	NOUN
cana-1162	163	20	in	in	ADP
cana-1162	163	21	estimating	estimate	VERB
cana-1162	163	22	the	the	DET
cana-1162	163	23	mwss	mwss	NOUN
cana-1162	163	24	of	of	ADP
cana-1162	163	25	kkia	kkia	PROPN
cana-1162	163	26	,	,	PUNCT
cana-1162	163	27	kfia	kfia	PROPN
cana-1162	163	28	,	,	PUNCT
cana-1162	163	29	and	and	CCONJ
cana-1162	163	30	kaia	kaia	PROPN
cana-1162	163	31	.	.	PUNCT
cana-1162	164	1	chiou	chiou	PROPN
cana-1162	164	2	et	et	PROPN
cana-1162	164	3	al	al	PROPN
cana-1162	164	4	(	(	PUNCT
cana-1162	164	5	2012	2012	NUM
cana-1162	164	6	)	)	PUNCT
cana-1162	164	7	used	use	VERB
cana-1162	164	8	three	three	NUM
cana-1162	164	9	extreme	extreme	ADJ
cana-1162	164	10	value	value	NOUN
cana-1162	164	11	models	model	NOUN
cana-1162	164	12	to	to	PART
cana-1162	164	13	investigate	investigate	VERB
cana-1162	164	14	the	the	DET
cana-1162	164	15	maximum	maximum	ADJ
cana-1162	164	16	wind	wind	NOUN
cana-1162	164	17	speed	speed	NOUN
cana-1162	164	18	as	as	ADP
cana-1162	164	19	an	an	DET
cana-1162	164	20	average	average	NOUN
cana-1162	164	21	of	of	ADP
cana-1162	164	22	10	10	NUM
cana-1162	164	23	minutes	minute	NOUN
cana-1162	164	24	between	between	ADP
cana-1162	164	25	1951	1951	NUM
cana-1162	164	26	and	and	CCONJ
cana-1162	164	27	1991	1991	NUM
cana-1162	164	28	for	for	ADP
cana-1162	164	29	the	the	DET
cana-1162	164	30	italian	italian	ADJ
cana-1162	164	31	airport	airport	NOUN
cana-1162	164	32	.	.	PUNCT
cana-1162	165	1	naskar	naskar	PROPN
cana-1162	165	2	et	et	PROPN
cana-1162	165	3	al	al	PROPN
cana-1162	165	4	(	(	PUNCT
cana-1162	165	5	2023	2023	NUM
cana-1162	165	6	)	)	PUNCT
cana-1162	165	7	,	,	PUNCT
cana-1162	165	8	using	use	VERB
cana-1162	165	9	a	a	DET
cana-1162	165	10	novel	novel	ADJ
cana-1162	165	11	machine	machine	NOUN
cana-1162	165	12	learning	learning	NOUN
cana-1162	165	13	(	(	PUNCT
cana-1162	165	14	ml	ml	NOUN
cana-1162	165	15	)	)	PUNCT
cana-1162	165	16	method	method	NOUN
cana-1162	165	17	,	,	PUNCT
cana-1162	165	18	an	an	DET
cana-1162	165	19	effort	effort	NOUN
cana-1162	165	20	was	be	AUX
cana-1162	165	21	made	make	VERB
cana-1162	165	22	to	to	PART
cana-1162	165	23	analyze	analyze	VERB
cana-1162	165	24	the	the	DET
cana-1162	165	25	wind	wind	NOUN
cana-1162	165	26	attributes	attribute	NOUN
cana-1162	165	27	of	of	ADP
cana-1162	165	28	netaji	netaji	PROPN
cana-1162	165	29	subhas	subha	VERB
cana-1162	165	30	chandra	chandra	PROPN
cana-1162	165	31	bose	bose	PROPN
cana-1162	165	32	international	international	PROPN
cana-1162	165	33	airport	airport	PROPN
cana-1162	165	34	(	(	PUNCT
cana-1162	165	35	nscbia	nscbia	PROPN
cana-1162	165	36	)	)	PUNCT
cana-1162	165	37	and	and	CCONJ
cana-1162	165	38	forecast	forecast	VERB
cana-1162	165	39	wind	wind	NOUN
cana-1162	165	40	velocity	velocity	NOUN
cana-1162	165	41	and	and	CCONJ
cana-1162	165	42	direction	direction	NOUN
cana-1162	165	43	9	9	NUM
cana-1162	165	44	,	,	PUNCT
cana-1162	165	45	30	30	NUM
cana-1162	165	46	hours	hour	NOUN
cana-1162	165	47	in	in	ADP
cana-1162	165	48	advance	advance	NOUN
cana-1162	165	49	for	for	ADP
cana-1162	165	50	the	the	DET
cana-1162	165	51	time	time	NOUN
cana-1162	165	52	span	span	NOUN
cana-1162	165	53	between	between	ADP
cana-1162	165	54	2016	2016	NUM
cana-1162	165	55	and	and	CCONJ
cana-1162	165	56	2021	2021	NUM
cana-1162	165	57	.	.	PUNCT
cana-1162	166	1	arabi	arabi	PROPN
cana-1162	166	2	et	et	PROPN
cana-1162	166	3	al	al	PROPN
cana-1162	166	4	(	(	PUNCT
cana-1162	166	5	2023	2023	NUM
cana-1162	166	6	)	)	PUNCT
cana-1162	166	7	applied	apply	VERB
cana-1162	166	8	three	three	NUM
cana-1162	166	9	machine	machine	NOUN
cana-1162	166	10	learning	learning	NOUN
cana-1162	166	11	models	model	NOUN
cana-1162	166	12	long	long	ADV
cana-1162	166	13	lstm	lstm	PROPN
cana-1162	166	14	,	,	PUNCT
cana-1162	166	15	cnn	cnn	PROPN
cana-1162	166	16	,	,	PUNCT
cana-1162	166	17	and	and	CCONJ
cana-1162	166	18	a	a	DET
cana-1162	166	19	network	network	NOUN
cana-1162	166	20	based	base	VERB
cana-1162	166	21	solely	solely	ADV
cana-1162	166	22	on	on	ADP
cana-1162	166	23	fully	fully	ADV
cana-1162	166	24	connected	connect	VERB
cana-1162	166	25	(	(	PUNCT
cana-1162	166	26	fc	fc	INTJ
cana-1162	166	27	)	)	PUNCT
cana-1162	166	28	layers	layer	NOUN
cana-1162	166	29	for	for	ADP
cana-1162	166	30	retrieval	retrieval	NOUN
cana-1162	166	31	ocean	ocean	NOUN
cana-1162	166	32	wind	wind	NOUN
cana-1162	166	33	speed	speed	NOUN
cana-1162	166	34	.	.	PUNCT
cana-1162	167	1	shen	shen	PROPN
cana-1162	167	2	et	et	PROPN
cana-1162	167	3	al	al	PROPN
cana-1162	167	4	(	(	PUNCT
cana-1162	167	5	2022	2022	NUM
cana-1162	167	6	)	)	PUNCT
cana-1162	167	7	used	use	VERB
cana-1162	167	8	lstm	lstm	NOUN
cana-1162	167	9	and	and	CCONJ
cana-1162	167	10	cnn	cnn	PROPN
cana-1162	167	11	models	model	NOUN
cana-1162	167	12	to	to	PART
cana-1162	167	13	predict	predict	VERB
cana-1162	167	14	multi	multi	ADJ
cana-1162	167	15	-	-	ADJ
cana-1162	167	16	step	step	ADJ
cana-1162	167	17	wind	wind	NOUN
cana-1162	167	18	speed	speed	NOUN
cana-1162	167	19	,	,	PUNCT
cana-1162	167	20	and	and	CCONJ
cana-1162	167	21	concluded	conclude	VERB
cana-1162	167	22	that	that	SCONJ
cana-1162	167	23	based	base	VERB
cana-1162	167	24	on	on	ADP
cana-1162	167	25	the	the	DET
cana-1162	167	26	performance	performance	NOUN
cana-1162	167	27	metrics	metric	NOUN
cana-1162	167	28	the	the	DET
cana-1162	167	29	cnn	cnn	PROPN
cana-1162	167	30	-	-	PUNCT
cana-1162	167	31	lstm	lstm	PROPN
cana-1162	167	32	model	model	NOUN
cana-1162	167	33	outperformed	outperform	VERB
cana-1162	167	34	the	the	DET
cana-1162	167	35	other	other	ADJ
cana-1162	167	36	implemented	implement	VERB
cana-1162	167	37	models	model	NOUN
cana-1162	167	38	.	.	PUNCT
cana-1162	168	1	lawal	lawal	NOUN
cana-1162	168	2	et	et	PROPN
cana-1162	168	3	al	al	PROPN
cana-1162	168	4	(	(	PUNCT
cana-1162	168	5	2021	2021	NUM
cana-1162	168	6	)	)	PUNCT
cana-1162	168	7	by	by	ADP
cana-1162	168	8	utilizing	utilize	VERB
cana-1162	168	9	cnn	cnn	PROPN
cana-1162	168	10	and	and	CCONJ
cana-1162	168	11	a	a	DET
cana-1162	168	12	bidirectional	bidirectional	ADJ
cana-1162	168	13	long	long	ADJ
cana-1162	168	14	short	short	ADJ
cana-1162	168	15	-	-	PUNCT
cana-1162	168	16	term	term	NOUN
cana-1162	168	17	memory	memory	NOUN
cana-1162	168	18	(	(	PUNCT
cana-1162	168	19	blstm	blstm	ADJ
cana-1162	168	20	)	)	PUNCT
cana-1162	168	21	network	network	NOUN
cana-1162	168	22	,	,	PUNCT
cana-1162	168	23	this	this	DET
cana-1162	168	24	strategy	strategy	NOUN
cana-1162	168	25	enables	enable	VERB
cana-1162	168	26	the	the	DET
cana-1162	168	27	reliable	reliable	ADJ
cana-1162	168	28	prediction	prediction	NOUN
cana-1162	168	29	of	of	ADP
cana-1162	168	30	short	short	ADJ
cana-1162	168	31	-	-	PUNCT
cana-1162	168	32	term	term	NOUN
cana-1162	168	33	wind	wind	NOUN
cana-1162	168	34	levels	level	NOUN
cana-1162	168	35	at	at	ADP
cana-1162	168	36	varying	vary	VERB
cana-1162	168	37	heights	height	NOUN
cana-1162	168	38	above	above	ADP
cana-1162	168	39	ground	ground	NOUN
cana-1162	168	40	level	level	NOUN
cana-1162	168	41	(	(	PUNCT
cana-1162	168	42	agl	agl	NOUN
cana-1162	168	43	)	)	PUNCT
cana-1162	168	44	in	in	ADP
cana-1162	168	45	saudi	saudi	PROPN
cana-1162	168	46	arabia	arabia	PROPN
cana-1162	168	47	.	.	PUNCT
cana-1162	169	1	they	they	PRON
cana-1162	169	2	performance	performance	VERB
cana-1162	169	3	evaluation	evaluation	NOUN
cana-1162	169	4	of	of	ADP
cana-1162	169	5	the	the	DET
cana-1162	169	6	suggested	suggest	VERB
cana-1162	169	7	cnn	cnn	PROPN
cana-1162	169	8	-	-	PUNCT
cana-1162	169	9	bltsm	bltsm	NOUN
cana-1162	169	10	model	model	NOUN
cana-1162	169	11	involves	involve	VERB
cana-1162	169	12	using	use	VERB
cana-1162	169	13	performance	performance	NOUN
cana-1162	169	14	metrics	metric	NOUN
cana-1162	169	15	namely	namely	ADV
cana-1162	169	16	rmse	rmse	VERB
cana-1162	169	17	,	,	PUNCT
cana-1162	169	18	mean	mean	VERB
cana-1162	169	19	absolute	absolute	ADJ
cana-1162	169	20	error	error	NOUN
cana-1162	169	21	(	(	PUNCT
cana-1162	169	22	mae	mae	PROPN
cana-1162	169	23	)	)	PUNCT
cana-1162	169	24	,	,	PUNCT
cana-1162	169	25	and	and	CCONJ
cana-1162	169	26	mean	mean	VERB
cana-1162	169	27	absolute	absolute	ADJ
cana-1162	169	28	percentage	percentage	NOUN
cana-1162	169	29	error	error	NOUN
cana-1162	169	30	(	(	PUNCT
cana-1162	169	31	mape	mape	NOUN
cana-1162	169	32	)	)	PUNCT
cana-1162	169	33	.	.	PUNCT
cana-1162	170	1	4	4	X
cana-1162	170	2	.	.	X
cana-1162	170	3	conclusions	conclusion	NOUN
cana-1162	170	4	ml	ml	X
cana-1162	170	5	techniques	technique	NOUN
cana-1162	170	6	are	be	AUX
cana-1162	170	7	highly	highly	ADV
cana-1162	170	8	advantageous	advantageous	ADJ
cana-1162	170	9	in	in	ADP
cana-1162	170	10	accurately	accurately	ADV
cana-1162	170	11	predicting	predict	VERB
cana-1162	170	12	nonlinear	nonlinear	ADJ
cana-1162	170	13	processes	process	NOUN
cana-1162	170	14	,	,	PUNCT
cana-1162	170	15	particularly	particularly	ADV
cana-1162	170	16	in	in	ADP
cana-1162	170	17	the	the	DET
cana-1162	170	18	case	case	NOUN
cana-1162	170	19	of	of	ADP
cana-1162	170	20	weather	weather	NOUN
cana-1162	170	21	parameters	parameter	NOUN
cana-1162	170	22	like	like	ADP
cana-1162	170	23	wind	wind	NOUN
cana-1162	170	24	speed	speed	NOUN
cana-1162	170	25	,	,	PUNCT
cana-1162	170	26	which	which	PRON
cana-1162	170	27	is	be	AUX
cana-1162	170	28	affected	affect	VERB
cana-1162	170	29	by	by	ADP
cana-1162	170	30	factors	factor	NOUN
cana-1162	170	31	such	such	ADJ
cana-1162	170	32	as	as	ADP
cana-1162	170	33	rainfall	rainfall	NOUN
cana-1162	170	34	and	and	CCONJ
cana-1162	170	35	temperature	temperature	NOUN
cana-1162	170	36	,	,	PUNCT
cana-1162	170	37	showing	show	VERB
cana-1162	170	38	complex	complex	ADJ
cana-1162	170	39	behavior	behavior	NOUN
cana-1162	170	40	.	.	PUNCT
cana-1162	171	1	the	the	DET
cana-1162	171	2	present	present	ADJ
cana-1162	171	3	investigation	investigation	NOUN
cana-1162	171	4	focused	focus	VERB
cana-1162	171	5	on	on	ADP
cana-1162	171	6	assessing	assess	VERB
cana-1162	171	7	the	the	DET
cana-1162	171	8	predictive	predictive	ADJ
cana-1162	171	9	capabilities	capability	NOUN
cana-1162	171	10	of	of	ADP
cana-1162	171	11	two	two	NUM
cana-1162	171	12	ml	ml	NOUN
cana-1162	171	13	models	model	NOUN
cana-1162	171	14	(	(	PUNCT
cana-1162	171	15	ann	ann	PROPN
cana-1162	171	16	and	and	CCONJ
cana-1162	171	17	cnn	cnn	PROPN
cana-1162	171	18	)	)	PUNCT
cana-1162	171	19	and	and	CCONJ
cana-1162	171	20	one	one	NUM
cana-1162	171	21	stochastic	stochastic	ADJ
cana-1162	171	22	model	model	NOUN
cana-1162	171	23	(	(	PUNCT
cana-1162	171	24	arima	arima	PROPN
cana-1162	171	25	)	)	PUNCT
cana-1162	171	26	in	in	ADP
cana-1162	171	27	forecasting	forecast	VERB
cana-1162	171	28	mws(t	mws(t	PROPN
cana-1162	171	29	)	)	PUNCT
cana-1162	171	30	for	for	ADP
cana-1162	171	31	king	king	PROPN
cana-1162	171	32	khalid	khalid	PROPN
cana-1162	171	33	international	international	PROPN
cana-1162	171	34	airport	airport	PROPN
cana-1162	171	35	.	.	PUNCT
cana-1162	172	1	to	to	PART
cana-1162	172	2	identify	identify	VERB
cana-1162	172	3	the	the	DET
cana-1162	172	4	most	most	ADV
cana-1162	172	5	influential	influential	ADJ
cana-1162	172	6	inputs	input	NOUN
cana-1162	172	7	among	among	ADP
cana-1162	172	8	the	the	DET
cana-1162	172	9	different	different	ADJ
cana-1162	172	10	lag	lag	NOUN
cana-1162	172	11	times	time	NOUN
cana-1162	172	12	,	,	PUNCT
cana-1162	172	13	we	we	PRON
cana-1162	172	14	utilized	utilize	VERB
cana-1162	172	15	the	the	DET
cana-1162	172	16	ami	ami	NOUN
cana-1162	172	17	method	method	NOUN
cana-1162	172	18	.	.	PUNCT
cana-1162	173	1	considering	consider	VERB
cana-1162	173	2	statistical	statistical	ADJ
cana-1162	173	3	indicators	indicator	NOUN
cana-1162	173	4	like	like	ADP
cana-1162	173	5	r	r	NOUN
cana-1162	173	6	and	and	CCONJ
cana-1162	173	7	rmse	rmse	NOUN
cana-1162	173	8	,	,	PUNCT
cana-1162	173	9	as	as	ADV
cana-1162	173	10	well	well	ADV
cana-1162	173	11	as	as	ADP
cana-1162	173	12	analyzing	analyze	VERB
cana-1162	173	13	statistical	statistical	ADJ
cana-1162	173	14	graphs	graph	NOUN
cana-1162	173	15	,	,	PUNCT
cana-1162	173	16	an	an	DET
cana-1162	173	17	evaluation	evaluation	NOUN
cana-1162	173	18	was	be	AUX
cana-1162	173	19	performed	perform	VERB
cana-1162	173	20	to	to	PART
cana-1162	173	21	assess	assess	VERB
cana-1162	173	22	the	the	DET
cana-1162	173	23	performance	performance	NOUN
cana-1162	173	24	of	of	ADP
cana-1162	173	25	the	the	DET
cana-1162	173	26	three	three	NUM
cana-1162	173	27	built	build	VERB
cana-1162	173	28	models	model	NOUN
cana-1162	173	29	.	.	PUNCT
cana-1162	174	1	the	the	DET
cana-1162	174	2	statistical	statistical	ADJ
cana-1162	174	3	data	datum	NOUN
cana-1162	174	4	indicated	indicate	VERB
cana-1162	174	5	that	that	SCONJ
cana-1162	174	6	the	the	DET
cana-1162	174	7	three	three	NUM
cana-1162	174	8	models	model	NOUN
cana-1162	174	9	developed	develop	VERB
cana-1162	174	10	for	for	ADP
cana-1162	174	11	king	king	PROPN
cana-1162	174	12	khalid	khalid	PROPN
cana-1162	174	13	airport	airport	PROPN
cana-1162	174	14	performed	perform	VERB
cana-1162	174	15	exceptionally	exceptionally	ADV
cana-1162	174	16	well	well	ADV
cana-1162	174	17	.	.	PUNCT
cana-1162	175	1	regarding	regard	VERB
cana-1162	175	2	predicting	predict	VERB
cana-1162	175	3	maximum	maximum	ADJ
cana-1162	175	4	wind	wind	NOUN
cana-1162	175	5	speed	speed	NOUN
cana-1162	175	6	,	,	PUNCT
cana-1162	175	7	the	the	DET
cana-1162	175	8	cnn	cnn	PROPN
cana-1162	175	9	model	model	NOUN
cana-1162	175	10	outperformed	outperform	VERB
cana-1162	175	11	the	the	DET
cana-1162	175	12	ann	ann	PROPN
cana-1162	175	13	,	,	PUNCT
cana-1162	175	14	and	and	CCONJ
cana-1162	175	15	arima	arima	PROPN
cana-1162	175	16	model	model	NOUN
cana-1162	175	17	by	by	ADP
cana-1162	175	18	delivering	deliver	VERB
cana-1162	175	19	superior	superior	ADJ
cana-1162	175	20	results	result	NOUN
cana-1162	175	21	for	for	ADP
cana-1162	175	22	kkia	kkia	NOUN
cana-1162	175	23	.	.	PUNCT
cana-1162	176	1	the	the	DET
cana-1162	176	2	cnn	cnn	PROPN
cana-1162	176	3	model	model	NOUN
cana-1162	176	4	,	,	PUNCT
cana-1162	176	5	in	in	ADP
cana-1162	176	6	simpler	simple	ADJ
cana-1162	176	7	words	word	NOUN
cana-1162	176	8	,	,	PUNCT
cana-1162	176	9	demonstrated	demonstrate	VERB
cana-1162	176	10	exceptional	exceptional	ADJ
cana-1162	176	11	forecasting	forecasting	NOUN
cana-1162	176	12	capabilities	capability	NOUN
cana-1162	176	13	by	by	ADP
cana-1162	176	14	accurately	accurately	ADV
cana-1162	176	15	generating	generate	VERB
cana-1162	176	16	mws	mws	NOUN
cana-1162	176	17	time	time	NOUN
cana-1162	176	18	series	series	PROPN
cana-1162	176	19	.	.	PUNCT
cana-1162	177	1	to	to	PART
cana-1162	177	2	improve	improve	VERB
cana-1162	177	3	the	the	DET
cana-1162	177	4	structure	structure	NOUN
cana-1162	177	5	of	of	ADP
cana-1162	177	6	intelligent	intelligent	ADJ
cana-1162	177	7	standalone	standalone	NOUN
cana-1162	177	8	models	model	NOUN
cana-1162	177	9	,	,	PUNCT
cana-1162	177	10	future	future	ADJ
cana-1162	177	11	research	research	NOUN
cana-1162	177	12	needs	need	VERB
cana-1162	177	13	to	to	PART
cana-1162	177	14	focus	focus	VERB
cana-1162	177	15	on	on	ADP
cana-1162	177	16	utilizing	utilize	VERB
cana-1162	177	17	cnn	cnn	PROPN
cana-1162	177	18	and	and	CCONJ
cana-1162	177	19	counterpart	counterpart	ADJ
cana-1162	177	20	hybrid	hybrid	ADJ
cana-1162	177	21	methods	method	NOUN
cana-1162	177	22	for	for	ADP
cana-1162	177	23	predicting	predict	VERB
cana-1162	177	24	additional	additional	ADJ
cana-1162	177	25	hydrological	hydrological	ADJ
cana-1162	177	26	variables	variable	NOUN
cana-1162	177	27	(	(	PUNCT
cana-1162	177	28	e.g.	e.g.	ADV
cana-1162	177	29	,	,	PUNCT
cana-1162	177	30	visibility	visibility	NOUN
cana-1162	177	31	and	and	CCONJ
cana-1162	177	32	wind	wind	NOUN
cana-1162	177	33	direction	direction	NOUN
cana-1162	177	34	variables	variable	NOUN
cana-1162	177	35	)	)	PUNCT
cana-1162	177	36	,	,	PUNCT
cana-1162	177	37	while	while	SCONJ
cana-1162	177	38	also	also	ADV
cana-1162	177	39	conducting	conduct	VERB
cana-1162	177	40	comparisons	comparison	NOUN
cana-1162	177	41	with	with	ADP
cana-1162	177	42	other	other	ADJ
cana-1162	177	43	algorithms	algorithm	NOUN
cana-1162	177	44	.	.	PUNCT
cana-1162	178	1	the	the	DET
cana-1162	178	2	achievement	achievement	NOUN
cana-1162	178	3	of	of	ADP
cana-1162	178	4	successfully	successfully	ADV
cana-1162	178	5	implementing	implement	VERB
cana-1162	178	6	a	a	DET
cana-1162	178	7	univariate	univariate	ADJ
cana-1162	178	8	model	model	NOUN
cana-1162	178	9	for	for	ADP
cana-1162	178	10	king	king	PROPN
cana-1162	178	11	khalid	khalid	PROPN
cana-1162	178	12	airport	airport	PROPN
cana-1162	178	13	mws	mws	NOUN
cana-1162	178	14	forecasting	forecasting	NOUN
cana-1162	178	15	in	in	ADP
cana-1162	178	16	this	this	DET
cana-1162	178	17	study	study	NOUN
cana-1162	178	18	implies	imply	VERB
cana-1162	178	19	the	the	DET
cana-1162	178	20	necessity	necessity	NOUN
cana-1162	178	21	of	of	ADP
cana-1162	178	22	incorporating	incorporate	VERB
cana-1162	178	23	additional	additional	ADJ
cana-1162	178	24	variables	variable	NOUN
cana-1162	178	25	(	(	PUNCT
cana-1162	178	26	such	such	ADJ
cana-1162	178	27	as	as	ADP
cana-1162	178	28	visibility	visibility	NOUN
cana-1162	178	29	,	,	PUNCT
cana-1162	178	30	temperature	temperature	NOUN
cana-1162	178	31	,	,	PUNCT
cana-1162	178	32	and	and	CCONJ
cana-1162	178	33	humidity	humidity	NOUN
cana-1162	178	34	)	)	PUNCT
cana-1162	178	35	to	to	PART
cana-1162	178	36	develop	develop	VERB
cana-1162	178	37	a	a	DET
cana-1162	178	38	more	more	ADV
cana-1162	178	39	comprehensive	comprehensive	ADJ
cana-1162	178	40	multivariate	multivariate	NOUN
cana-1162	178	41	forecasting	forecasting	NOUN
cana-1162	178	42	model	model	NOUN
cana-1162	178	43	for	for	ADP
cana-1162	178	44	maximum	maximum	ADJ
cana-1162	178	45	wind	wind	NOUN
cana-1162	178	46	speed	speed	NOUN
cana-1162	178	47	.	.	PUNCT
cana-1162	179	1	author	author	NOUN
cana-1162	179	2	contribution	contribution	PROPN
cana-1162	179	3	:	:	PUNCT
cana-1162	179	4	the	the	DET
cana-1162	179	5	author	author	NOUN
cana-1162	179	6	conceived	conceive	VERB
cana-1162	179	7	the	the	DET
cana-1162	179	8	framework	framework	NOUN
cana-1162	179	9	and	and	CCONJ
cana-1162	179	10	structured	structure	VERB
cana-1162	179	11	the	the	DET
cana-1162	179	12	whole	whole	ADJ
cana-1162	179	13	manuscript	manuscript	NOUN
cana-1162	179	14	.	.	PUNCT
cana-1162	180	1	the	the	DET
cana-1162	180	2	author	author	NOUN
cana-1162	180	3	has	have	AUX
cana-1162	180	4	read	read	VERB
cana-1162	180	5	and	and	CCONJ
cana-1162	180	6	agreed	agree	VERB
cana-1162	180	7	to	to	ADP
cana-1162	180	8	the	the	DET
cana-1162	180	9	published	publish	VERB
cana-1162	180	10	version	version	NOUN
cana-1162	180	11	of	of	ADP
cana-1162	180	12	the	the	DET
cana-1162	180	13	manuscript	manuscript	NOUN
cana-1162	180	14	.	.	PUNCT
cana-1162	181	1	funding	funding	NOUN
cana-1162	181	2	:	:	PUNCT
cana-1162	181	3	no	no	DET
cana-1162	181	4	funds	fund	NOUN
cana-1162	181	5	,	,	PUNCT
cana-1162	181	6	grants	grant	NOUN
cana-1162	181	7	,	,	PUNCT
cana-1162	181	8	or	or	CCONJ
cana-1162	181	9	other	other	ADJ
cana-1162	181	10	support	support	NOUN
cana-1162	181	11	was	be	AUX
cana-1162	181	12	received	receive	VERB
cana-1162	181	13	.	.	PUNCT
cana-1162	182	1	availability	availability	NOUN
cana-1162	182	2	of	of	ADP
cana-1162	182	3	data	datum	NOUN
cana-1162	182	4	and	and	CCONJ
cana-1162	182	5	materials	material	NOUN
cana-1162	182	6	:	:	PUNCT
cana-1162	182	7	the	the	DET
cana-1162	182	8	data	datum	NOUN
cana-1162	182	9	are	be	AUX
cana-1162	182	10	available	available	ADJ
cana-1162	182	11	on	on	ADP
cana-1162	182	12	request	request	NOUN
cana-1162	182	13	.	.	PUNCT
cana-1162	183	1	communications	communication	NOUN
cana-1162	183	2	on	on	ADP
cana-1162	183	3	applied	apply	VERB
cana-1162	183	4	nonlinear	nonlinear	ADJ
cana-1162	183	5	analysis	analysis	NOUN
cana-1162	183	6	issn	issn	NOUN
cana-1162	183	7	:	:	PUNCT
cana-1162	183	8	1074	1074	NUM
cana-1162	183	9	-	-	PUNCT
cana-1162	183	10	133x	133x	NUM
cana-1162	183	11	vol	vol	NOUN
cana-1162	183	12	31	31	NUM
cana-1162	183	13	no	no	NOUN
cana-1162	183	14	.	.	PUNCT
cana-1162	184	1	6s	6s	NUM
cana-1162	184	2	(	(	PUNCT
cana-1162	184	3	2024	2024	NUM
cana-1162	184	4	)	)	PUNCT
cana-1162	184	5	95	95	NUM
cana-1162	184	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1162	184	7	declarations	declaration	NOUN
cana-1162	184	8	conflict	conflict	NOUN
cana-1162	184	9	of	of	ADP
cana-1162	184	10	interest	interest	NOUN
cana-1162	184	11	:	:	PUNCT
cana-1162	184	12	the	the	DET
cana-1162	184	13	author	author	NOUN
cana-1162	184	14	declare	declare	VERB
cana-1162	184	15	that	that	SCONJ
cana-1162	184	16	they	they	PRON
cana-1162	184	17	have	have	VERB
cana-1162	184	18	no	no	DET
cana-1162	184	19	competing	compete	VERB
cana-1162	184	20	interests	interest	NOUN
cana-1162	184	21	.	.	PUNCT
cana-1162	185	1	ethics	ethic	NOUN
cana-1162	185	2	approval	approval	NOUN
cana-1162	185	3	:	:	PUNCT
cana-1162	185	4	not	not	PART
cana-1162	185	5	applicable	applicable	ADJ
cana-1162	185	6	.	.	PUNCT
cana-1162	186	1	consent	consent	NOUN
cana-1162	186	2	to	to	PART
cana-1162	186	3	participate	participate	VERB
cana-1162	186	4	:	:	PUNCT
cana-1162	186	5	not	not	PART
cana-1162	186	6	applicable	applicable	ADJ
cana-1162	186	7	.	.	PUNCT
cana-1162	187	1	consent	consent	NOUN
cana-1162	187	2	for	for	ADP
cana-1162	187	3	publication	publication	NOUN
cana-1162	187	4	:	:	PUNCT
cana-1162	187	5	not	not	PART
cana-1162	187	6	applicable	applicable	ADJ
cana-1162	187	7	references	reference	NOUN
cana-1162	187	8	[	[	X
cana-1162	187	9	1	1	NUM
cana-1162	187	10	]	]	X
cana-1162	187	11	abraham	abraham	PROPN
cana-1162	187	12	,	,	PUNCT
cana-1162	187	13	a.	a.	NOUN
cana-1162	187	14	(	(	PUNCT
cana-1162	187	15	2005	2005	NUM
cana-1162	187	16	)	)	PUNCT
cana-1162	187	17	.	.	PUNCT
cana-1162	188	1	artificial	artificial	ADJ
cana-1162	188	2	neural	neural	ADJ
cana-1162	188	3	networks	network	NOUN
cana-1162	188	4	.	.	PUNCT
cana-1162	189	1	handbook	handbook	NOUN
cana-1162	189	2	of	of	ADP
cana-1162	189	3	measuring	measure	VERB
cana-1162	189	4	system	system	NOUN
cana-1162	189	5	design	design	NOUN
cana-1162	189	6	.	.	PUNCT
cana-1162	190	1	[	[	X
cana-1162	190	2	2	2	NUM
cana-1162	190	3	]	]	PUNCT
cana-1162	190	4	almuharib	almuharib	NOUN
cana-1162	190	5	,	,	PUNCT
cana-1162	190	6	t.	t.	NOUN
cana-1162	190	7	m.	m.	NOUN
cana-1162	190	8	(	(	PUNCT
cana-1162	190	9	2014	2014	NUM
cana-1162	190	10	)	)	PUNCT
cana-1162	190	11	.	.	PUNCT
cana-1162	191	1	service	service	NOUN
cana-1162	191	2	quality	quality	NOUN
cana-1162	191	3	improvement	improvement	NOUN
cana-1162	191	4	through	through	ADP
cana-1162	191	5	lean	lean	ADJ
cana-1162	191	6	management	management	NOUN
cana-1162	191	7	at	at	ADP
cana-1162	191	8	king	king	PROPN
cana-1162	191	9	khalid	khalid	PROPN
cana-1162	191	10	international	international	PROPN
cana-1162	191	11	airport	airport	PROPN
cana-1162	191	12	in	in	ADP
cana-1162	191	13	saudi	saudi	PROPN
cana-1162	191	14	arabia	arabia	PROPN
cana-1162	191	15	(	(	PUNCT
cana-1162	191	16	doctoral	doctoral	ADJ
cana-1162	191	17	dissertation	dissertation	NOUN
cana-1162	191	18	,	,	PUNCT
cana-1162	191	19	plymouth	plymouth	PROPN
cana-1162	191	20	university	university	NOUN
cana-1162	191	21	)	)	PUNCT
cana-1162	191	22	.	.	PUNCT
cana-1162	192	1	[	[	X
cana-1162	192	2	3	3	NUM
cana-1162	192	3	]	]	PUNCT
cana-1162	192	4	alves	alve	NOUN
cana-1162	192	5	,	,	PUNCT
cana-1162	192	6	d.	d.	PROPN
cana-1162	192	7	,	,	PUNCT
cana-1162	192	8	mendonça	mendonça	PROPN
cana-1162	192	9	,	,	PUNCT
cana-1162	192	10	f.	f.	PROPN
cana-1162	192	11	,	,	PUNCT
cana-1162	192	12	mostafa	mostafa	PROPN
cana-1162	192	13	,	,	PUNCT
cana-1162	192	14	s.	s.	PROPN
cana-1162	192	15	s.	s.	PROPN
cana-1162	192	16	,	,	PUNCT
cana-1162	192	17	&	&	CCONJ
cana-1162	192	18	morgado	morgado	PROPN
cana-1162	192	19	-	-	PUNCT
cana-1162	192	20	dias	dias	PROPN
cana-1162	192	21	,	,	PUNCT
cana-1162	192	22	f.	f.	PROPN
cana-1162	192	23	(	(	PUNCT
cana-1162	192	24	2023	2023	NUM
cana-1162	192	25	)	)	PUNCT
cana-1162	192	26	.	.	PUNCT
cana-1162	193	1	the	the	DET
cana-1162	193	2	potential	potential	NOUN
cana-1162	193	3	of	of	ADP
cana-1162	193	4	machine	machine	NOUN
cana-1162	193	5	learning	learn	VERB
cana-1162	193	6	for	for	ADP
cana-1162	193	7	wind	wind	NOUN
cana-1162	193	8	speed	speed	NOUN
cana-1162	193	9	and	and	CCONJ
cana-1162	193	10	direction	direction	VERB
cana-1162	193	11	short	short	ADJ
cana-1162	193	12	-	-	PUNCT
cana-1162	193	13	term	term	NOUN
cana-1162	193	14	forecasting	forecasting	NOUN
cana-1162	193	15	:	:	PUNCT
cana-1162	193	16	a	a	DET
cana-1162	193	17	systematic	systematic	ADJ
cana-1162	193	18	review	review	NOUN
cana-1162	193	19	.	.	PUNCT
cana-1162	194	1	computers	computer	NOUN
cana-1162	194	2	,	,	PUNCT
cana-1162	194	3	12(10	12(10	NUM
cana-1162	194	4	)	)	PUNCT
cana-1162	194	5	,	,	PUNCT
cana-1162	194	6	206	206	NUM
cana-1162	194	7	.	.	PUNCT
cana-1162	195	1	[	[	X
cana-1162	195	2	4	4	NUM
cana-1162	195	3	]	]	SYM
cana-1162	195	4	arabi	arabi	PROPN
cana-1162	195	5	,	,	PUNCT
cana-1162	195	6	s.	s.	PROPN
cana-1162	195	7	,	,	PUNCT
cana-1162	195	8	asgarimehr	asgarimehr	NOUN
cana-1162	195	9	,	,	PUNCT
cana-1162	195	10	m.	m.	NOUN
cana-1162	195	11	,	,	PUNCT
cana-1162	195	12	kada	kada	PROPN
cana-1162	195	13	,	,	PUNCT
cana-1162	195	14	m.	m.	NOUN
cana-1162	195	15	,	,	PUNCT
cana-1162	195	16	&	&	CCONJ
cana-1162	195	17	wickert	wickert	PROPN
cana-1162	195	18	,	,	PUNCT
cana-1162	195	19	j.	j.	PROPN
cana-1162	195	20	(	(	PUNCT
cana-1162	195	21	2023	2023	NUM
cana-1162	195	22	)	)	PUNCT
cana-1162	195	23	.	.	PUNCT
cana-1162	196	1	hybrid	hybrid	PROPN
cana-1162	196	2	cnn	cnn	PROPN
cana-1162	196	3	-	-	PUNCT
cana-1162	196	4	lstm	lstm	ADJ
cana-1162	196	5	deep	deep	ADJ
cana-1162	196	6	learning	learning	NOUN
cana-1162	196	7	for	for	ADP
cana-1162	196	8	track	track	NOUN
cana-1162	196	9	-	-	PUNCT
cana-1162	196	10	wise	wise	ADJ
cana-1162	196	11	gnss	gnss	NOUN
cana-1162	196	12	-	-	PUNCT
cana-1162	196	13	r	r	NOUN
cana-1162	196	14	ocean	ocean	NOUN
cana-1162	196	15	wind	wind	NOUN
cana-1162	196	16	speed	speed	NOUN
cana-1162	196	17	retrieval	retrieval	NOUN
cana-1162	196	18	.	.	PUNCT
cana-1162	197	1	remote	remote	ADJ
cana-1162	197	2	sensing	sensing	NOUN
cana-1162	197	3	,	,	PUNCT
cana-1162	197	4	15(17	15(17	NUM
cana-1162	197	5	)	)	PUNCT
cana-1162	197	6	,	,	PUNCT
cana-1162	197	7	4169	4169	NUM
cana-1162	197	8	.	.	PUNCT
cana-1162	198	1	[	[	X
cana-1162	198	2	5	5	NUM
cana-1162	198	3	]	]	X
cana-1162	198	4	box	box	NOUN
cana-1162	198	5	,	,	PUNCT
cana-1162	198	6	g.	g.	PROPN
cana-1162	198	7	e.	e.	PROPN
cana-1162	198	8	p.	p.	PROPN
cana-1162	198	9	,	,	PUNCT
cana-1162	198	10	and	and	CCONJ
cana-1162	198	11	g.	g.	PROPN
cana-1162	198	12	jenkins	jenkins	PROPN
cana-1162	198	13	,	,	PUNCT
cana-1162	198	14	1970	1970	NUM
cana-1162	198	15	:	:	PUNCT
cana-1162	198	16	time	time	NOUN
cana-1162	198	17	series	series	PROPN
cana-1162	198	18	analysis	analysis	NOUN
cana-1162	198	19	:	:	PUNCT
cana-1162	198	20	forecasting	forecasting	NOUN
cana-1162	198	21	and	and	CCONJ
cana-1162	198	22	control	control	NOUN
cana-1162	198	23	.	.	PUNCT
cana-1162	199	1	holdan	holdan	PROPN
cana-1162	199	2	-	-	PUNCT
cana-1162	199	3	day	day	PROPN
cana-1162	199	4	,	,	PUNCT
cana-1162	199	5	709	709	NUM
cana-1162	199	6	.	.	PUNCT
cana-1162	200	1	[	[	X
cana-1162	200	2	6	6	NUM
cana-1162	200	3	]	]	X
cana-1162	200	4	castán	castán	NOUN
cana-1162	200	5	-	-	PUNCT
cana-1162	200	6	lascorz	lascorz	PROPN
cana-1162	200	7	ma	ma	PROPN
cana-1162	200	8	,	,	PUNCT
cana-1162	200	9	jiménez	jiménez	PROPN
cana-1162	200	10	-	-	PUNCT
cana-1162	200	11	herrera	herrera	PROPN
cana-1162	200	12	p	p	NOUN
cana-1162	200	13	,	,	PUNCT
cana-1162	200	14	troncoso	troncoso	NOUN
cana-1162	200	15	a	a	PRON
cana-1162	200	16	,	,	PUNCT
cana-1162	200	17	asencio	asencio	NOUN
cana-1162	200	18	-	-	PUNCT
cana-1162	200	19	cortés	cortés	NOUN
cana-1162	200	20	g	g	PROPN
cana-1162	200	21	(	(	PUNCT
cana-1162	200	22	2022	2022	NUM
cana-1162	200	23	)	)	PUNCT
cana-1162	200	24	.	.	PUNCT
cana-1162	201	1	a	a	DET
cana-1162	201	2	new	new	ADJ
cana-1162	201	3	hybrid	hybrid	NOUN
cana-1162	201	4	method	method	NOUN
cana-1162	201	5	for	for	ADP
cana-1162	201	6	predicting	predict	VERB
cana-1162	201	7	univariate	univariate	ADJ
cana-1162	201	8	and	and	CCONJ
cana-1162	201	9	multivariate	multivariate	NOUN
cana-1162	201	10	time	time	NOUN
cana-1162	201	11	series	series	NOUN
cana-1162	201	12	based	base	VERB
cana-1162	201	13	on	on	ADP
cana-1162	201	14	pattern	pattern	NOUN
cana-1162	201	15	forecasting	forecasting	NOUN
cana-1162	201	16	.	.	PUNCT
cana-1162	202	1	information	information	NOUN
cana-1162	202	2	sciences	sciences	PROPN
cana-1162	202	3	,	,	PUNCT
cana-1162	202	4	586	586	NUM
cana-1162	202	5	:	:	PUNCT
cana-1162	202	6	611	611	NUM
cana-1162	202	7	-	-	SYM
cana-1162	202	8	627	627	NUM
cana-1162	202	9	.	.	PUNCT
cana-1162	203	1	[	[	X
cana-1162	203	2	7	7	NUM
cana-1162	203	3	]	]	X
cana-1162	203	4	chen	chen	PROPN
cana-1162	203	5	,	,	PUNCT
cana-1162	203	6	j.	j.	PROPN
cana-1162	203	7	,	,	PUNCT
cana-1162	203	8	zeng	zeng	PROPN
cana-1162	203	9	,	,	PUNCT
cana-1162	203	10	g.	g.	PROPN
cana-1162	203	11	q.	q.	PROPN
cana-1162	203	12	,	,	PUNCT
cana-1162	203	13	zhou	zhou	PROPN
cana-1162	203	14	,	,	PUNCT
cana-1162	203	15	w.	w.	PROPN
cana-1162	203	16	,	,	PUNCT
cana-1162	203	17	du	du	PROPN
cana-1162	203	18	,	,	PUNCT
cana-1162	203	19	w.	w.	PROPN
cana-1162	203	20	,	,	PUNCT
cana-1162	203	21	&	&	CCONJ
cana-1162	203	22	lu	lu	PROPN
cana-1162	203	23	,	,	PUNCT
cana-1162	203	24	k.	k.	PROPN
cana-1162	203	25	d.	d.	PROPN
cana-1162	203	26	(	(	PUNCT
cana-1162	203	27	2018	2018	NUM
cana-1162	203	28	)	)	PUNCT
cana-1162	203	29	.	.	PUNCT
cana-1162	204	1	wind	wind	NOUN
cana-1162	204	2	speed	speed	NOUN
cana-1162	204	3	forecasting	forecasting	NOUN
cana-1162	204	4	using	use	VERB
cana-1162	204	5	nonlinear	nonlinear	ADJ
cana-1162	204	6	-	-	PUNCT
cana-1162	204	7	learning	learning	NOUN
cana-1162	204	8	ensemble	ensemble	NOUN
cana-1162	204	9	of	of	ADP
cana-1162	204	10	deep	deep	ADJ
cana-1162	204	11	learning	learning	NOUN
cana-1162	204	12	time	time	NOUN
cana-1162	204	13	series	series	PROPN
cana-1162	204	14	prediction	prediction	NOUN
cana-1162	204	15	and	and	CCONJ
cana-1162	204	16	extremal	extremal	ADJ
cana-1162	204	17	optimization	optimization	NOUN
cana-1162	204	18	.	.	PUNCT
cana-1162	205	1	energy	energy	NOUN
cana-1162	205	2	conversion	conversion	NOUN
cana-1162	205	3	and	and	CCONJ
cana-1162	205	4	management	management	NOUN
cana-1162	205	5	,	,	PUNCT
cana-1162	205	6	165	165	NUM
cana-1162	205	7	,	,	PUNCT
cana-1162	205	8	681	681	NUM
cana-1162	205	9	-	-	SYM
cana-1162	205	10	695	695	NUM
cana-1162	205	11	.	.	PUNCT
cana-1162	206	1	[	[	X
cana-1162	206	2	8	8	NUM
cana-1162	206	3	]	]	X
cana-1162	206	4	chitsazan	chitsazan	NOUN
cana-1162	206	5	,	,	PUNCT
cana-1162	206	6	m.	m.	NOUN
cana-1162	206	7	a.	a.	PROPN
cana-1162	206	8	,	,	PUNCT
cana-1162	206	9	fadali	fadali	PROPN
cana-1162	206	10	,	,	PUNCT
cana-1162	206	11	m.	m.	NOUN
cana-1162	206	12	s.	s.	PROPN
cana-1162	206	13	,	,	PUNCT
cana-1162	206	14	&	&	CCONJ
cana-1162	206	15	trzynadlowski	trzynadlowski	ADV
cana-1162	206	16	,	,	PUNCT
cana-1162	206	17	a.	a.	NOUN
cana-1162	206	18	m.	m.	NOUN
cana-1162	206	19	(	(	PUNCT
cana-1162	206	20	2019	2019	NUM
cana-1162	206	21	)	)	PUNCT
cana-1162	206	22	.	.	PUNCT
cana-1162	207	1	wind	wind	NOUN
cana-1162	207	2	speed	speed	NOUN
cana-1162	207	3	and	and	CCONJ
cana-1162	207	4	wind	wind	NOUN
cana-1162	207	5	direction	direction	NOUN
cana-1162	207	6	forecasting	forecasting	NOUN
cana-1162	207	7	using	use	VERB
cana-1162	207	8	echo	echo	NOUN
cana-1162	207	9	state	state	NOUN
cana-1162	207	10	network	network	NOUN
cana-1162	207	11	with	with	ADP
cana-1162	207	12	nonlinear	nonlinear	ADJ
cana-1162	207	13	functions	function	NOUN
cana-1162	207	14	.	.	PUNCT
cana-1162	208	1	renewable	renewable	ADJ
cana-1162	208	2	energy	energy	NOUN
cana-1162	208	3	,	,	PUNCT
cana-1162	208	4	131	131	NUM
cana-1162	208	5	,	,	PUNCT
cana-1162	208	6	879	879	NUM
cana-1162	208	7	-	-	SYM
cana-1162	208	8	889	889	NUM
cana-1162	208	9	.	.	PUNCT
cana-1162	209	1	[	[	X
cana-1162	209	2	9	9	NUM
cana-1162	209	3	]	]	SYM
cana-1162	209	4	demolli	demolli	NOUN
cana-1162	209	5	,	,	PUNCT
cana-1162	209	6	h.	h.	PROPN
cana-1162	209	7	,	,	PUNCT
cana-1162	209	8	dokuz	dokuz	PROPN
cana-1162	209	9	,	,	PUNCT
cana-1162	209	10	a.	a.	PROPN
cana-1162	209	11	s.	s.	PROPN
cana-1162	209	12	,	,	PUNCT
cana-1162	209	13	ecemis	ecemis	PROPN
cana-1162	209	14	,	,	PUNCT
cana-1162	209	15	a.	a.	PROPN
cana-1162	209	16	,	,	PUNCT
cana-1162	209	17	&	&	CCONJ
cana-1162	209	18	gokcek	gokcek	PROPN
cana-1162	209	19	,	,	PUNCT
cana-1162	209	20	m.	m.	NOUN
cana-1162	209	21	(	(	PUNCT
cana-1162	209	22	2019	2019	NUM
cana-1162	209	23	)	)	PUNCT
cana-1162	209	24	.	.	PUNCT
cana-1162	210	1	wind	wind	NOUN
cana-1162	210	2	power	power	NOUN
cana-1162	210	3	forecasting	forecasting	NOUN
cana-1162	210	4	based	base	VERB
cana-1162	210	5	on	on	ADP
cana-1162	210	6	daily	daily	ADJ
cana-1162	210	7	wind	wind	NOUN
cana-1162	210	8	speed	speed	NOUN
cana-1162	210	9	data	datum	NOUN
cana-1162	210	10	using	use	VERB
cana-1162	210	11	machine	machine	NOUN
cana-1162	210	12	learning	learning	NOUN
cana-1162	210	13	algorithms	algorithm	NOUN
cana-1162	210	14	.	.	PUNCT
cana-1162	211	1	energy	energy	NOUN
cana-1162	211	2	conversion	conversion	NOUN
cana-1162	211	3	and	and	CCONJ
cana-1162	211	4	management	management	NOUN
cana-1162	211	5	,	,	PUNCT
cana-1162	211	6	198	198	NUM
cana-1162	211	7	,	,	PUNCT
cana-1162	211	8	111823	111823	NUM
cana-1162	211	9	.	.	PUNCT
cana-1162	212	1	[	[	X
cana-1162	212	2	10	10	NUM
cana-1162	212	3	]	]	X
cana-1162	212	4	dimri	dimri	PROPN
cana-1162	212	5	,	,	PUNCT
cana-1162	212	6	t.	t.	PROPN
cana-1162	212	7	,	,	PUNCT
cana-1162	212	8	ahmad	ahmad	PROPN
cana-1162	212	9	,	,	PUNCT
cana-1162	212	10	s.	s.	PROPN
cana-1162	212	11	,	,	PUNCT
cana-1162	212	12	&	&	CCONJ
cana-1162	212	13	sharif	sharif	PROPN
cana-1162	212	14	,	,	PUNCT
cana-1162	212	15	m.	m.	NOUN
cana-1162	212	16	(	(	PUNCT
cana-1162	212	17	2020	2020	NUM
cana-1162	212	18	)	)	PUNCT
cana-1162	212	19	.	.	PUNCT
cana-1162	213	1	time	time	NOUN
cana-1162	213	2	series	series	PROPN
cana-1162	213	3	analysis	analysis	NOUN
cana-1162	213	4	of	of	ADP
cana-1162	213	5	climate	climate	NOUN
cana-1162	213	6	variables	variable	NOUN
cana-1162	213	7	using	use	VERB
cana-1162	213	8	seasonal	seasonal	ADJ
cana-1162	213	9	arima	arima	PROPN
cana-1162	213	10	approach	approach	NOUN
cana-1162	213	11	.	.	PUNCT
cana-1162	214	1	journal	journal	NOUN
cana-1162	214	2	of	of	ADP
cana-1162	214	3	earth	earth	NOUN
cana-1162	214	4	system	system	NOUN
cana-1162	214	5	science	science	NOUN
cana-1162	214	6	,	,	PUNCT
cana-1162	214	7	129	129	NUM
cana-1162	214	8	,	,	PUNCT
cana-1162	214	9	1	1	NUM
cana-1162	214	10	-	-	SYM
cana-1162	214	11	16	16	NUM
cana-1162	214	12	.	.	PUNCT
cana-1162	215	1	[	[	X
cana-1162	215	2	11	11	NUM
cana-1162	215	3	]	]	PUNCT
cana-1162	215	4	elsner	elsner	NOUN
cana-1162	215	5	,	,	PUNCT
cana-1162	215	6	j.	j.	PROPN
cana-1162	215	7	b.	b.	PROPN
cana-1162	215	8	,	,	PUNCT
cana-1162	215	9	&	&	CCONJ
cana-1162	215	10	tsonis	tsonis	PROPN
cana-1162	215	11	,	,	PUNCT
cana-1162	215	12	a.	a.	NOUN
cana-1162	215	13	a.	a.	NOUN
cana-1162	215	14	(	(	PUNCT
cana-1162	215	15	1992	1992	NUM
cana-1162	215	16	)	)	PUNCT
cana-1162	215	17	.	.	PUNCT
cana-1162	216	1	nonlinear	nonlinear	ADJ
cana-1162	216	2	prediction	prediction	NOUN
cana-1162	216	3	,	,	PUNCT
cana-1162	216	4	chaos	chaos	NOUN
cana-1162	216	5	,	,	PUNCT
cana-1162	216	6	and	and	CCONJ
cana-1162	216	7	noise	noise	NOUN
cana-1162	216	8	.	.	PUNCT
cana-1162	217	1	bulletin	bulletin	NOUN
cana-1162	217	2	of	of	ADP
cana-1162	217	3	the	the	DET
cana-1162	217	4	american	american	ADJ
cana-1162	217	5	meteorological	meteorological	ADJ
cana-1162	217	6	society	society	NOUN
cana-1162	217	7	,	,	PUNCT
cana-1162	217	8	73(1	73(1	NUM
cana-1162	217	9	)	)	PUNCT
cana-1162	217	10	,	,	PUNCT
cana-1162	217	11	49	49	NUM
cana-1162	217	12	-	-	SYM
cana-1162	217	13	60	60	NUM
cana-1162	217	14	.	.	PUNCT
cana-1162	218	1	[	[	X
cana-1162	218	2	12	12	NUM
cana-1162	218	3	]	]	SYM
cana-1162	218	4	emmert	emmert	NOUN
cana-1162	218	5	-	-	PUNCT
cana-1162	218	6	streib	streib	PROPN
cana-1162	218	7	,	,	PUNCT
cana-1162	218	8	f.	f.	PROPN
cana-1162	218	9	,	,	PUNCT
cana-1162	218	10	yang	yang	PROPN
cana-1162	218	11	,	,	PUNCT
cana-1162	218	12	z.	z.	PROPN
cana-1162	218	13	,	,	PUNCT
cana-1162	218	14	feng	feng	PROPN
cana-1162	218	15	,	,	PUNCT
cana-1162	218	16	h.	h.	PROPN
cana-1162	218	17	,	,	PUNCT
cana-1162	218	18	tripathi	tripathi	PROPN
cana-1162	218	19	,	,	PUNCT
cana-1162	218	20	s.	s.	PROPN
cana-1162	218	21	,	,	PUNCT
cana-1162	218	22	&	&	CCONJ
cana-1162	218	23	dehmer	dehmer	PROPN
cana-1162	218	24	,	,	PUNCT
cana-1162	218	25	m.	m.	NOUN
cana-1162	218	26	(	(	PUNCT
cana-1162	218	27	2020	2020	NUM
cana-1162	218	28	)	)	PUNCT
cana-1162	218	29	.	.	PUNCT
cana-1162	219	1	an	an	DET
cana-1162	219	2	introductory	introductory	ADJ
cana-1162	219	3	review	review	NOUN
cana-1162	219	4	of	of	ADP
cana-1162	219	5	deep	deep	ADJ
cana-1162	219	6	learning	learning	NOUN
cana-1162	219	7	for	for	ADP
cana-1162	219	8	prediction	prediction	NOUN
cana-1162	219	9	models	model	NOUN
cana-1162	219	10	with	with	ADP
cana-1162	219	11	big	big	ADJ
cana-1162	219	12	data	datum	NOUN
cana-1162	219	13	.	.	PUNCT
cana-1162	220	1	frontiers	frontier	NOUN
cana-1162	220	2	in	in	ADP
cana-1162	220	3	artificial	artificial	ADJ
cana-1162	220	4	intelligence	intelligence	NOUN
cana-1162	220	5	,	,	PUNCT
cana-1162	220	6	3	3	NUM
cana-1162	220	7	,	,	PUNCT
cana-1162	220	8	4	4	NUM
cana-1162	220	9	.	.	PUNCT
cana-1162	221	1	[	[	X
cana-1162	221	2	13	13	NUM
cana-1162	221	3	]	]	X
cana-1162	221	4	elsaraiti	elsaraiti	PROPN
cana-1162	221	5	,	,	PUNCT
cana-1162	221	6	m.	m.	NOUN
cana-1162	221	7	,	,	PUNCT
cana-1162	221	8	&	&	CCONJ
cana-1162	221	9	merabet	merabet	PROPN
cana-1162	221	10	,	,	PUNCT
cana-1162	221	11	a.	a.	NOUN
cana-1162	221	12	(	(	PUNCT
cana-1162	221	13	2021	2021	NUM
cana-1162	221	14	)	)	PUNCT
cana-1162	221	15	.	.	PUNCT
cana-1162	222	1	a	a	DET
cana-1162	222	2	comparative	comparative	ADJ
cana-1162	222	3	analysis	analysis	NOUN
cana-1162	222	4	of	of	ADP
cana-1162	222	5	the	the	DET
cana-1162	222	6	arima	arima	PROPN
cana-1162	222	7	and	and	CCONJ
cana-1162	222	8	lstm	lstm	NOUN
cana-1162	222	9	predictive	predictive	ADJ
cana-1162	222	10	models	model	NOUN
cana-1162	222	11	and	and	CCONJ
cana-1162	222	12	their	their	PRON
cana-1162	222	13	effectiveness	effectiveness	NOUN
cana-1162	222	14	for	for	ADP
cana-1162	222	15	predicting	predict	VERB
cana-1162	222	16	wind	wind	NOUN
cana-1162	222	17	speed	speed	NOUN
cana-1162	222	18	.	.	PUNCT
cana-1162	223	1	energies	energy	NOUN
cana-1162	223	2	,	,	PUNCT
cana-1162	223	3	14(20	14(20	NUM
cana-1162	223	4	)	)	PUNCT
cana-1162	223	5	,	,	PUNCT
cana-1162	223	6	6782	6782	NUM
cana-1162	223	7	.	.	PUNCT
cana-1162	224	1	[	[	X
cana-1162	224	2	14	14	NUM
cana-1162	224	3	]	]	PUNCT
cana-1162	224	4	fukuoka	fukuoka	PROPN
cana-1162	224	5	,	,	PUNCT
cana-1162	224	6	r.	r.	PROPN
cana-1162	224	7	,	,	PUNCT
cana-1162	224	8	suzuki	suzuki	PROPN
cana-1162	224	9	,	,	PUNCT
cana-1162	224	10	h.	h.	PROPN
cana-1162	224	11	,	,	PUNCT
cana-1162	224	12	kitajima	kitajima	PROPN
cana-1162	224	13	,	,	PUNCT
cana-1162	224	14	t.	t.	PROPN
cana-1162	224	15	,	,	PUNCT
cana-1162	224	16	kuwahara	kuwahara	PROPN
cana-1162	224	17	,	,	PUNCT
cana-1162	224	18	a.	a.	NOUN
cana-1162	224	19	,	,	PUNCT
cana-1162	224	20	&	&	CCONJ
cana-1162	224	21	yasuno	yasuno	PROPN
cana-1162	224	22	,	,	PUNCT
cana-1162	224	23	t.	t.	PROPN
cana-1162	224	24	(	(	PUNCT
cana-1162	224	25	2018	2018	NUM
cana-1162	224	26	)	)	PUNCT
cana-1162	224	27	.	.	PUNCT
cana-1162	225	1	wind	wind	NOUN
cana-1162	225	2	speed	speed	NOUN
cana-1162	225	3	prediction	prediction	NOUN
cana-1162	225	4	model	model	NOUN
cana-1162	225	5	using	use	VERB
cana-1162	225	6	lstm	lstm	NOUN
cana-1162	225	7	and	and	CCONJ
cana-1162	225	8	1d	1d	NUM
cana-1162	225	9	-	-	PUNCT
cana-1162	225	10	cnn	cnn	PROPN
cana-1162	225	11	.	.	PUNCT
cana-1162	226	1	journal	journal	PROPN
cana-1162	226	2	of	of	ADP
cana-1162	226	3	signal	signal	PROPN
cana-1162	226	4	processing	processing	NOUN
cana-1162	226	5	,	,	PUNCT
cana-1162	226	6	22(4	22(4	NUM
cana-1162	226	7	)	)	PUNCT
cana-1162	226	8	,	,	PUNCT
cana-1162	226	9	207	207	NUM
cana-1162	226	10	-	-	SYM
cana-1162	226	11	210	210	NUM
cana-1162	226	12	.	.	PUNCT
cana-1162	227	1	[	[	X
cana-1162	227	2	15	15	NUM
cana-1162	227	3	]	]	X
cana-1162	227	4	fukushima	fukushima	PROPN
cana-1162	227	5	,	,	PUNCT
cana-1162	227	6	k.	k.	PROPN
cana-1162	227	7	(	(	PUNCT
cana-1162	227	8	1980	1980	NUM
cana-1162	227	9	)	)	PUNCT
cana-1162	227	10	.	.	PUNCT
cana-1162	228	1	neocognitron	neocognitron	PROPN
cana-1162	228	2	:	:	PUNCT
cana-1162	228	3	a	a	DET
cana-1162	228	4	self	self	NOUN
cana-1162	228	5	-	-	PUNCT
cana-1162	228	6	organizing	organize	VERB
cana-1162	228	7	neural	neural	ADJ
cana-1162	228	8	network	network	NOUN
cana-1162	228	9	model	model	NOUN
cana-1162	228	10	for	for	ADP
cana-1162	228	11	a	a	DET
cana-1162	228	12	mechanism	mechanism	NOUN
cana-1162	228	13	of	of	ADP
cana-1162	228	14	pattern	pattern	NOUN
cana-1162	228	15	recognition	recognition	NOUN
cana-1162	228	16	unaffected	unaffected	ADJ
cana-1162	228	17	by	by	ADP
cana-1162	228	18	shift	shift	NOUN
cana-1162	228	19	in	in	ADP
cana-1162	228	20	position	position	NOUN
cana-1162	228	21	.	.	PUNCT
cana-1162	229	1	biological	biological	ADJ
cana-1162	229	2	cybernetics	cybernetic	NOUN
cana-1162	229	3	,	,	PUNCT
cana-1162	229	4	36(4	36(4	NUM
cana-1162	229	5	)	)	PUNCT
cana-1162	229	6	,	,	PUNCT
cana-1162	229	7	193	193	NUM
cana-1162	229	8	-	-	SYM
cana-1162	229	9	202	202	NUM
cana-1162	229	10	.	.	PUNCT
cana-1162	230	1	[	[	X
cana-1162	230	2	16	16	NUM
cana-1162	230	3	]	]	X
cana-1162	230	4	ghorbani	ghorbani	PROPN
cana-1162	230	5	m	m	PROPN
cana-1162	230	6	,	,	PUNCT
cana-1162	230	7	kahya	kahya	PROPN
cana-1162	230	8	e	e	NOUN
cana-1162	230	9	,	,	PUNCT
cana-1162	230	10	ruskeepää	ruskeepää	ADJ
cana-1162	230	11	h	h	NOUN
cana-1162	230	12	,	,	PUNCT
cana-1162	230	13	roshni	roshni	PROPN
cana-1162	230	14	t	t	PROPN
cana-1162	230	15	,	,	PUNCT
cana-1162	230	16	kashani	kashani	PROPN
cana-1162	230	17	mh	mh	PROPN
cana-1162	230	18	,	,	PUNCT
cana-1162	230	19	karimi	karimi	PROPN
cana-1162	230	20	v	v	PROPN
cana-1162	230	21	,	,	PUNCT
cana-1162	230	22	arikan	arikan	PROPN
cana-1162	230	23	bb	bb	PROPN
cana-1162	230	24	(	(	PUNCT
cana-1162	230	25	2022	2022	NUM
cana-1162	230	26	)	)	PUNCT
cana-1162	230	27	temporal	temporal	ADJ
cana-1162	230	28	connections	connection	NOUN
cana-1162	230	29	in	in	ADP
cana-1162	230	30	reconstructed	reconstructed	ADJ
cana-1162	230	31	monthly	monthly	ADJ
cana-1162	230	32	rainfall	rainfall	NOUN
cana-1162	230	33	time	time	NOUN
cana-1162	230	34	series	series	PROPN
cana-1162	230	35	in	in	ADP
cana-1162	230	36	different	different	ADJ
cana-1162	230	37	rainfall	rainfall	NOUN
cana-1162	230	38	regimes	regime	NOUN
cana-1162	230	39	of	of	ADP
cana-1162	230	40	turkey	turkey	NOUN
cana-1162	230	41	.	.	PUNCT
cana-1162	231	1	arab	arab	PROPN
cana-1162	231	2	j	j	PROPN
cana-1162	231	3	geosci	geosci	PROPN
cana-1162	231	4	15	15	NUM
cana-1162	231	5	:	:	SYM
cana-1162	231	6	1015	1015	NUM
cana-1162	231	7	[	[	X
cana-1162	231	8	17	17	NUM
cana-1162	231	9	]	]	X
cana-1162	231	10	hyndman	hyndman	NOUN
cana-1162	231	11	,	,	PUNCT
cana-1162	231	12	r.	r.	PROPN
cana-1162	231	13	j.	j.	PROPN
cana-1162	231	14	,	,	PUNCT
cana-1162	231	15	and	and	CCONJ
cana-1162	231	16	g.	g.	PROPN
cana-1162	231	17	athanasopoulos	athanasopoulo	NOUN
cana-1162	231	18	,	,	PUNCT
cana-1162	231	19	(	(	PUNCT
cana-1162	231	20	2018	2018	NUM
cana-1162	231	21	)	)	PUNCT
cana-1162	231	22	forecasting	forecasting	NOUN
cana-1162	231	23	:	:	PUNCT
cana-1162	231	24	principles	principle	NOUN
cana-1162	231	25	and	and	CCONJ
cana-1162	231	26	practice	practice	NOUN
cana-1162	231	27	.	.	PUNCT
cana-1162	232	1	otexts	otext	NOUN
cana-1162	232	2	,	,	PUNCT
cana-1162	232	3	382	382	NUM
cana-1162	232	4	pp	pp	NOUN
cana-1162	232	5	.	.	PUNCT
cana-1162	233	1	[	[	X
cana-1162	233	2	18	18	NUM
cana-1162	233	3	]	]	X
cana-1162	233	4	iwok	iwok	PROPN
cana-1162	233	5	ia	ia	PROPN
cana-1162	233	6	,	,	PUNCT
cana-1162	233	7	okpe	okpe	NOUN
cana-1162	233	8	as	as	ADP
cana-1162	233	9	(	(	PUNCT
cana-1162	233	10	2016	2016	NUM
cana-1162	233	11	)	)	PUNCT
cana-1162	233	12	a	a	DET
cana-1162	233	13	comparative	comparative	ADJ
cana-1162	233	14	study	study	NOUN
cana-1162	233	15	between	between	ADP
cana-1162	233	16	univariate	univariate	ADJ
cana-1162	233	17	and	and	CCONJ
cana-1162	233	18	multivariate	multivariate	VERB
cana-1162	233	19	linear	linear	PROPN
cana-1162	233	20	stationary	stationary	ADJ
cana-1162	233	21	time	time	NOUN
cana-1162	233	22	series	series	PROPN
cana-1162	233	23	models	model	NOUN
cana-1162	233	24	.	.	PUNCT
cana-1162	234	1	american	american	ADJ
cana-1162	234	2	journal	journal	PROPN
cana-1162	234	3	of	of	ADP
cana-1162	234	4	mathematics	mathematics	PROPN
cana-1162	234	5	and	and	CCONJ
cana-1162	234	6	statistics	statistic	NOUN
cana-1162	234	7	6(5	6(5	NUM
cana-1162	234	8	):	):	PUNCT
cana-1162	234	9	203	203	NUM
cana-1162	234	10	-	-	SYM
cana-1162	234	11	212	212	NUM
cana-1162	234	12	[	[	SYM
cana-1162	234	13	19	19	NUM
cana-1162	234	14	]	]	X
cana-1162	234	15	jordan	jordan	PROPN
cana-1162	234	16	,	,	PUNCT
cana-1162	234	17	m.	m.	NOUN
cana-1162	234	18	i.	i.	PROPN
cana-1162	234	19	,	,	PUNCT
cana-1162	234	20	&	&	CCONJ
cana-1162	234	21	mitchell	mitchell	PROPN
cana-1162	234	22	,	,	PUNCT
cana-1162	234	23	t.	t.	PROPN
cana-1162	234	24	m.	m.	NOUN
cana-1162	234	25	(	(	PUNCT
cana-1162	234	26	2015	2015	NUM
cana-1162	234	27	)	)	PUNCT
cana-1162	234	28	.	.	PUNCT
cana-1162	235	1	machine	machine	NOUN
cana-1162	235	2	learning	learning	NOUN
cana-1162	235	3	:	:	PUNCT
cana-1162	235	4	trends	trend	NOUN
cana-1162	235	5	,	,	PUNCT
cana-1162	235	6	perspectives	perspective	NOUN
cana-1162	235	7	,	,	PUNCT
cana-1162	235	8	and	and	CCONJ
cana-1162	235	9	prospects	prospect	NOUN
cana-1162	235	10	.	.	PUNCT
cana-1162	236	1	science	science	NOUN
cana-1162	236	2	,	,	PUNCT
cana-1162	236	3	349(6245	349(6245	NUM
cana-1162	236	4	)	)	PUNCT
cana-1162	236	5	,	,	PUNCT
cana-1162	236	6	255	255	NUM
cana-1162	236	7	-	-	SYM
cana-1162	236	8	260	260	NUM
cana-1162	236	9	.	.	PUNCT
cana-1162	237	1	[	[	X
cana-1162	237	2	20	20	NUM
cana-1162	237	3	]	]	SYM
cana-1162	237	4	kavasseri	kavasseri	PROPN
cana-1162	237	5	,	,	PUNCT
cana-1162	237	6	r.	r.	PROPN
cana-1162	237	7	g.	g.	PROPN
cana-1162	237	8	,	,	PUNCT
cana-1162	237	9	&	&	CCONJ
cana-1162	237	10	seetharaman	seetharaman	PROPN
cana-1162	237	11	,	,	PUNCT
cana-1162	237	12	k.	k.	PROPN
cana-1162	237	13	(	(	PUNCT
cana-1162	237	14	2009	2009	NUM
cana-1162	237	15	)	)	PUNCT
cana-1162	237	16	.	.	PUNCT
cana-1162	238	1	day	day	NOUN
cana-1162	238	2	-	-	PUNCT
cana-1162	238	3	ahead	ahead	NOUN
cana-1162	238	4	wind	wind	NOUN
cana-1162	238	5	speed	speed	NOUN
cana-1162	238	6	forecasting	forecasting	NOUN
cana-1162	238	7	using	use	VERB
cana-1162	238	8	f	f	PROPN
cana-1162	238	9	-	-	PUNCT
cana-1162	238	10	arima	arima	NOUN
cana-1162	238	11	models	model	NOUN
cana-1162	238	12	.	.	PUNCT
cana-1162	239	1	renewable	renewable	ADJ
cana-1162	239	2	893	893	NUM
cana-1162	239	3	energy	energy	NOUN
cana-1162	239	4	34	34	NUM
cana-1162	239	5	,	,	PUNCT
cana-1162	239	6	1388	1388	NUM
cana-1162	239	7	-	-	SYM
cana-1162	239	8	1393	1393	NUM
cana-1162	239	9	.	.	PUNCT
cana-1162	240	1	communications	communication	NOUN
cana-1162	240	2	on	on	ADP
cana-1162	240	3	applied	apply	VERB
cana-1162	240	4	nonlinear	nonlinear	ADJ
cana-1162	240	5	analysis	analysis	NOUN
cana-1162	240	6	issn	issn	NOUN
cana-1162	240	7	:	:	PUNCT
cana-1162	240	8	1074	1074	NUM
cana-1162	240	9	-	-	PUNCT
cana-1162	240	10	133x	133x	NUM
cana-1162	240	11	vol	vol	NOUN
cana-1162	240	12	31	31	NUM
cana-1162	240	13	no	no	NOUN
cana-1162	240	14	.	.	PUNCT
cana-1162	241	1	6s	6s	NUM
cana-1162	241	2	(	(	PUNCT
cana-1162	241	3	2024	2024	NUM
cana-1162	241	4	)	)	PUNCT
cana-1162	241	5	96	96	NUM
cana-1162	241	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1162	242	1	[	[	X
cana-1162	242	2	21	21	NUM
cana-1162	242	3	]	]	X
cana-1162	242	4	krizhevsky	krizhevsky	NOUN
cana-1162	242	5	,	,	PUNCT
cana-1162	242	6	a.	a.	NOUN
cana-1162	242	7	,	,	PUNCT
cana-1162	242	8	sutskever	sutskever	PROPN
cana-1162	242	9	,	,	PUNCT
cana-1162	242	10	i.	i.	PROPN
cana-1162	242	11	,	,	PUNCT
cana-1162	242	12	&	&	CCONJ
cana-1162	242	13	hinton	hinton	PROPN
cana-1162	242	14	,	,	PUNCT
cana-1162	242	15	g.	g.	PROPN
cana-1162	242	16	e.	e.	PROPN
cana-1162	242	17	(	(	PUNCT
cana-1162	242	18	2012	2012	NUM
cana-1162	242	19	)	)	PUNCT
cana-1162	242	20	.	.	PUNCT
cana-1162	243	1	imagenet	imagenet	PROPN
cana-1162	243	2	classification	classification	NOUN
cana-1162	243	3	with	with	ADP
cana-1162	243	4	deep	deep	ADJ
cana-1162	243	5	convolutional	convolutional	ADJ
cana-1162	243	6	neural	neural	ADJ
cana-1162	243	7	networks	network	NOUN
cana-1162	243	8	.	.	PUNCT
cana-1162	244	1	advances	advance	NOUN
cana-1162	244	2	in	in	ADP
cana-1162	244	3	neural	neural	ADJ
cana-1162	244	4	information	information	NOUN
cana-1162	244	5	processing	processing	NOUN
cana-1162	244	6	systems	system	NOUN
cana-1162	244	7	,	,	PUNCT
cana-1162	244	8	25	25	NUM
cana-1162	244	9	.	.	PUNCT
cana-1162	245	1	[	[	X
cana-1162	245	2	22	22	NUM
cana-1162	245	3	]	]	SYM
cana-1162	245	4	lagomarsino	lagomarsino	NOUN
cana-1162	245	5	-	-	PUNCT
cana-1162	245	6	oneto	oneto	NOUN
cana-1162	245	7	,	,	PUNCT
cana-1162	245	8	d.	d.	PROPN
cana-1162	245	9	,	,	PUNCT
cana-1162	245	10	meanti	meanti	PROPN
cana-1162	245	11	,	,	PUNCT
cana-1162	245	12	g.	g.	PROPN
cana-1162	245	13	,	,	PUNCT
cana-1162	245	14	pagliana	pagliana	PROPN
cana-1162	245	15	,	,	PUNCT
cana-1162	245	16	n.	n.	NOUN
cana-1162	245	17	,	,	PUNCT
cana-1162	245	18	verri	verri	PROPN
cana-1162	245	19	,	,	PUNCT
cana-1162	245	20	a.	a.	PROPN
cana-1162	245	21	,	,	PUNCT
cana-1162	245	22	mazzino	mazzino	PROPN
cana-1162	245	23	,	,	PUNCT
cana-1162	245	24	a.	a.	PROPN
cana-1162	245	25	,	,	PUNCT
cana-1162	245	26	rosasco	rosasco	PROPN
cana-1162	245	27	,	,	PUNCT
cana-1162	245	28	l.	l.	PROPN
cana-1162	245	29	,	,	PUNCT
cana-1162	245	30	&	&	CCONJ
cana-1162	245	31	seminara	seminara	PROPN
cana-1162	245	32	,	,	PUNCT
cana-1162	245	33	a.	a.	NOUN
cana-1162	245	34	(	(	PUNCT
cana-1162	245	35	2023	2023	NUM
cana-1162	245	36	)	)	PUNCT
cana-1162	245	37	.	.	PUNCT
cana-1162	246	1	physics	physics	PROPN
cana-1162	246	2	informed	inform	VERB
cana-1162	246	3	machine	machine	NOUN
cana-1162	246	4	learning	learn	VERB
cana-1162	246	5	for	for	ADP
cana-1162	246	6	wind	wind	NOUN
cana-1162	246	7	speed	speed	NOUN
cana-1162	246	8	prediction	prediction	NOUN
cana-1162	246	9	.	.	PUNCT
cana-1162	247	1	energy	energy	NOUN
cana-1162	247	2	,	,	PUNCT
cana-1162	247	3	268	268	NUM
cana-1162	247	4	,	,	PUNCT
cana-1162	247	5	126628	126628	NUM
cana-1162	247	6	.	.	PUNCT
cana-1162	248	1	[	[	X
cana-1162	248	2	23	23	NUM
cana-1162	248	3	]	]	X
cana-1162	248	4	lawal	lawal	NOUN
cana-1162	248	5	,	,	PUNCT
cana-1162	248	6	a.	a.	NOUN
cana-1162	248	7	,	,	PUNCT
cana-1162	248	8	rehman	rehman	PROPN
cana-1162	248	9	,	,	PUNCT
cana-1162	248	10	s.	s.	PROPN
cana-1162	248	11	,	,	PUNCT
cana-1162	248	12	alhems	alhem	NOUN
cana-1162	248	13	,	,	PUNCT
cana-1162	248	14	l.	l.	PROPN
cana-1162	248	15	m.	m.	PROPN
cana-1162	248	16	,	,	PUNCT
cana-1162	248	17	&	&	CCONJ
cana-1162	248	18	alam	alam	PROPN
cana-1162	248	19	,	,	PUNCT
cana-1162	248	20	m.	m.	NOUN
cana-1162	248	21	m.	m.	NOUN
cana-1162	248	22	(	(	PUNCT
cana-1162	248	23	2021	2021	NUM
cana-1162	248	24	)	)	PUNCT
cana-1162	248	25	.	.	PUNCT
cana-1162	249	1	wind	wind	NOUN
cana-1162	249	2	speed	speed	NOUN
cana-1162	249	3	prediction	prediction	NOUN
cana-1162	249	4	using	use	VERB
cana-1162	249	5	hybrid	hybrid	ADJ
cana-1162	249	6	1d	1d	NUM
cana-1162	249	7	cnn	cnn	PROPN
cana-1162	249	8	and	and	CCONJ
cana-1162	249	9	blstm	blstm	PROPN
cana-1162	249	10	network	network	NOUN
cana-1162	249	11	.	.	PUNCT
cana-1162	250	1	ieee	ieee	NOUN
cana-1162	250	2	access	access	NOUN
cana-1162	250	3	,	,	PUNCT
cana-1162	250	4	9	9	NUM
cana-1162	250	5	,	,	PUNCT
cana-1162	250	6	156672	156672	NUM
cana-1162	250	7	-	-	SYM
cana-1162	250	8	156679	156679	NUM
cana-1162	250	9	.	.	PUNCT
cana-1162	251	1	[	[	X
cana-1162	251	2	24	24	NUM
cana-1162	251	3	]	]	X
cana-1162	251	4	liakos	liakos	PROPN
cana-1162	251	5	,	,	PUNCT
cana-1162	251	6	k.	k.	PROPN
cana-1162	251	7	g.	g.	PROPN
cana-1162	251	8	,	,	PUNCT
cana-1162	251	9	busato	busato	NOUN
cana-1162	251	10	,	,	PUNCT
cana-1162	251	11	p.	p.	NOUN
cana-1162	251	12	,	,	PUNCT
cana-1162	251	13	moshou	moshou	PROPN
cana-1162	251	14	,	,	PUNCT
cana-1162	251	15	d.	d.	PROPN
cana-1162	251	16	,	,	PUNCT
cana-1162	251	17	pearson	pearson	PROPN
cana-1162	251	18	,	,	PUNCT
cana-1162	251	19	s.	s.	PROPN
cana-1162	251	20	,	,	PUNCT
cana-1162	251	21	&	&	CCONJ
cana-1162	251	22	bochtis	bochtis	PROPN
cana-1162	251	23	,	,	PUNCT
cana-1162	251	24	d.	d.	PROPN
cana-1162	251	25	(	(	PUNCT
cana-1162	251	26	2018	2018	NUM
cana-1162	251	27	)	)	PUNCT
cana-1162	251	28	.	.	PUNCT
cana-1162	252	1	machine	machine	NOUN
cana-1162	252	2	learning	learn	VERB
cana-1162	252	3	in	in	ADP
cana-1162	252	4	agriculture	agriculture	NOUN
cana-1162	252	5	:	:	PUNCT
cana-1162	252	6	a	a	DET
cana-1162	252	7	review	review	NOUN
cana-1162	252	8	.	.	PUNCT
cana-1162	253	1	sensors	sensor	NOUN
cana-1162	253	2	,	,	PUNCT
cana-1162	253	3	18(8	18(8	NUM
cana-1162	253	4	)	)	PUNCT
cana-1162	253	5	,	,	PUNCT
cana-1162	253	6	2674	2674	NUM
cana-1162	253	7	.	.	PUNCT
cana-1162	254	1	[	[	X
cana-1162	254	2	25	25	NUM
cana-1162	254	3	]	]	X
cana-1162	254	4	lydia	lydia	PROPN
cana-1162	254	5	,	,	PUNCT
cana-1162	254	6	m.	m.	NOUN
cana-1162	254	7	,	,	PUNCT
cana-1162	254	8	kumar	kumar	PROPN
cana-1162	254	9	,	,	PUNCT
cana-1162	254	10	s.	s.	PROPN
cana-1162	254	11	s.	s.	PROPN
cana-1162	254	12	,	,	PUNCT
cana-1162	254	13	selvakumar	selvakumar	PROPN
cana-1162	254	14	,	,	PUNCT
cana-1162	254	15	a.	a.	NOUN
cana-1162	254	16	i.	i.	PROPN
cana-1162	254	17	,	,	PUNCT
cana-1162	254	18	&	&	CCONJ
cana-1162	254	19	kumar	kumar	PROPN
cana-1162	254	20	,	,	PUNCT
cana-1162	254	21	g.	g.	PROPN
cana-1162	254	22	e.	e.	PROPN
cana-1162	254	23	p.	p.	PROPN
cana-1162	254	24	(	(	PUNCT
cana-1162	254	25	2016	2016	NUM
cana-1162	254	26	)	)	PUNCT
cana-1162	254	27	.	.	PUNCT
cana-1162	255	1	linear	linear	PROPN
cana-1162	255	2	and	and	CCONJ
cana-1162	255	3	non	non	ADJ
cana-1162	255	4	-	-	ADJ
cana-1162	255	5	linear	linear	ADJ
cana-1162	255	6	autoregressive	autoregressive	ADJ
cana-1162	255	7	models	model	NOUN
cana-1162	255	8	for	for	ADP
cana-1162	255	9	short	short	ADJ
cana-1162	255	10	-	-	PUNCT
cana-1162	255	11	term	term	NOUN
cana-1162	255	12	wind	wind	NOUN
cana-1162	255	13	speed	speed	NOUN
cana-1162	255	14	forecasting	forecasting	NOUN
cana-1162	255	15	.	.	PUNCT
cana-1162	256	1	energy	energy	NOUN
cana-1162	256	2	conversion	conversion	NOUN
cana-1162	256	3	and	and	CCONJ
cana-1162	256	4	management	management	NOUN
cana-1162	256	5	,	,	PUNCT
cana-1162	256	6	112	112	NUM
cana-1162	256	7	,	,	PUNCT
cana-1162	256	8	115	115	NUM
cana-1162	256	9	-	-	SYM
cana-1162	256	10	124	124	NUM
cana-1162	256	11	.	.	PUNCT
cana-1162	257	1	[	[	X
cana-1162	257	2	26	26	NUM
cana-1162	257	3	]	]	X
cana-1162	257	4	liu	liu	PROPN
cana-1162	257	5	,	,	PUNCT
cana-1162	257	6	d.	d.	PROPN
cana-1162	257	7	,	,	PUNCT
cana-1162	257	8	niu	niu	PROPN
cana-1162	257	9	,	,	PUNCT
cana-1162	257	10	d.	d.	PROPN
cana-1162	257	11	,	,	PUNCT
cana-1162	257	12	wang	wang	PROPN
cana-1162	257	13	,	,	PUNCT
cana-1162	257	14	h.	h.	PROPN
cana-1162	257	15	,	,	PUNCT
cana-1162	257	16	&	&	CCONJ
cana-1162	257	17	fan	fan	PROPN
cana-1162	257	18	,	,	PUNCT
cana-1162	257	19	l.	l.	PROPN
cana-1162	257	20	(	(	PUNCT
cana-1162	257	21	2014	2014	NUM
cana-1162	257	22	)	)	PUNCT
cana-1162	257	23	.	.	PUNCT
cana-1162	258	1	short	short	ADJ
cana-1162	258	2	-	-	PUNCT
cana-1162	258	3	term	term	NOUN
cana-1162	258	4	wind	wind	NOUN
cana-1162	258	5	speed	speed	NOUN
cana-1162	258	6	forecasting	forecasting	NOUN
cana-1162	258	7	using	use	VERB
cana-1162	258	8	wavelet	wavelet	NOUN
cana-1162	258	9	transform	transform	NOUN
cana-1162	258	10	and	and	CCONJ
cana-1162	258	11	support	support	VERB
cana-1162	258	12	vector	vector	NOUN
cana-1162	258	13	machines	machine	NOUN
cana-1162	258	14	optimized	optimize	VERB
cana-1162	258	15	by	by	ADP
cana-1162	258	16	genetic	genetic	ADJ
cana-1162	258	17	algorithm	algorithm	NOUN
cana-1162	258	18	.	.	PUNCT
cana-1162	259	1	renewable	renewable	ADJ
cana-1162	259	2	energy	energy	NOUN
cana-1162	259	3	,	,	PUNCT
cana-1162	259	4	62	62	NUM
cana-1162	259	5	,	,	PUNCT
cana-1162	259	6	592	592	NUM
cana-1162	259	7	-	-	SYM
cana-1162	259	8	597	597	NUM
cana-1162	259	9	.	.	PUNCT
cana-1162	260	1	[	[	X
cana-1162	260	2	27	27	NUM
cana-1162	260	3	]	]	X
cana-1162	260	4	mirzania	mirzania	PROPN
cana-1162	260	5	,	,	PUNCT
cana-1162	260	6	e.	e.	PROPN
cana-1162	260	7	,	,	PUNCT
cana-1162	260	8	roshni	roshni	PROPN
cana-1162	260	9	,	,	PUNCT
cana-1162	260	10	t.	t.	PROPN
cana-1162	260	11	,	,	PUNCT
cana-1162	260	12	kashani	kashani	PROPN
cana-1162	260	13	,	,	PUNCT
cana-1162	260	14	m.	m.	PROPN
cana-1162	260	15	h.	h.	PROPN
cana-1162	260	16	,	,	PUNCT
cana-1162	260	17	bickici	bickici	PROPN
cana-1162	260	18	,	,	PUNCT
cana-1162	260	19	b.	b.	PROPN
cana-1162	260	20	,	,	PUNCT
cana-1162	260	21	&	&	CCONJ
cana-1162	260	22	ibrahim	ibrahim	PROPN
cana-1162	260	23	,	,	PUNCT
cana-1162	260	24	o.	o.	PROPN
cana-1162	260	25	r.	r.	PROPN
cana-1162	260	26	(	(	PUNCT
cana-1162	260	27	2023	2023	NUM
cana-1162	260	28	)	)	PUNCT
cana-1162	260	29	.	.	PUNCT
cana-1162	261	1	forecasting	forecasting	NOUN
cana-1162	261	2	of	of	ADP
cana-1162	261	3	lake	lake	PROPN
cana-1162	261	4	water	water	NOUN
cana-1162	261	5	level	level	NOUN
cana-1162	261	6	based	base	VERB
cana-1162	261	7	on	on	ADP
cana-1162	261	8	a	a	DET
cana-1162	261	9	hybrid	hybrid	ADJ
cana-1162	261	10	model	model	NOUN
cana-1162	261	11	of	of	ADP
cana-1162	261	12	innovative	innovative	ADJ
cana-1162	261	13	gunner	gunner	NOUN
cana-1162	261	14	algorithm	algorithm	NOUN
cana-1162	261	15	.	.	PUNCT
cana-1162	262	1	acta	acta	PROPN
cana-1162	262	2	geophysica	geophysica	PROPN
cana-1162	262	3	,	,	PUNCT
cana-1162	262	4	1	1	NUM
cana-1162	262	5	-	-	SYM
cana-1162	262	6	19	19	NUM
cana-1162	262	7	.	.	PUNCT
cana-1162	263	1	[	[	X
cana-1162	263	2	28	28	NUM
cana-1162	263	3	]	]	PUNCT
cana-1162	263	4	naskar	naskar	NOUN
cana-1162	263	5	,	,	PUNCT
cana-1162	263	6	p.	p.	PROPN
cana-1162	263	7	r.	r.	PROPN
cana-1162	263	8	,	,	PUNCT
cana-1162	263	9	&	&	CCONJ
cana-1162	263	10	naskar	naskar	PROPN
cana-1162	263	11	,	,	PUNCT
cana-1162	263	12	s.	s.	PROPN
cana-1162	263	13	(	(	PUNCT
cana-1162	263	14	2023	2023	NUM
cana-1162	263	15	)	)	PUNCT
cana-1162	263	16	.	.	PUNCT
cana-1162	264	1	an	an	DET
cana-1162	264	2	analysis	analysis	NOUN
cana-1162	264	3	of	of	ADP
cana-1162	264	4	wind	wind	NOUN
cana-1162	264	5	characteristics	characteristic	NOUN
cana-1162	264	6	of	of	ADP
cana-1162	264	7	kolkata	kolkata	PROPN
cana-1162	264	8	airport	airport	NOUN
cana-1162	264	9	and	and	CCONJ
cana-1162	264	10	prediction	prediction	NOUN
cana-1162	264	11	of	of	ADP
cana-1162	264	12	wind	wind	NOUN
cana-1162	264	13	speed	speed	NOUN
cana-1162	264	14	and	and	CCONJ
cana-1162	264	15	direction	direction	NOUN
cana-1162	264	16	using	use	VERB
cana-1162	264	17	a	a	DET
cana-1162	264	18	new	new	ADJ
cana-1162	264	19	machine	machine	NOUN
cana-1162	264	20	learning	learning	NOUN
cana-1162	264	21	technique	technique	NOUN
cana-1162	264	22	.	.	PUNCT
cana-1162	265	1	[	[	X
cana-1162	265	2	29	29	NUM
cana-1162	265	3	]	]	X
cana-1162	265	4	noori	noori	PROPN
cana-1162	265	5	r	r	PROPN
cana-1162	265	6	,	,	PUNCT
cana-1162	265	7	karbassi	karbassi	PROPN
cana-1162	265	8	ar	ar	PROPN
cana-1162	265	9	,	,	PUNCT
cana-1162	265	10	moghaddamnia	moghaddamnia	PROPN
cana-1162	265	11	a	a	PROPN
cana-1162	265	12	,	,	PUNCT
cana-1162	265	13	han	han	PROPN
cana-1162	265	14	d	d	PROPN
cana-1162	265	15	,	,	PUNCT
cana-1162	265	16	zokaei	zokaei	NOUN
cana-1162	265	17	-	-	PUNCT
cana-1162	265	18	ashtiani	ashtiani	PROPN
cana-1162	265	19	mh	mh	PROPN
cana-1162	265	20	,	,	PUNCT
cana-1162	265	21	farokhnia	farokhnia	PROPN
cana-1162	265	22	a	a	DET
cana-1162	265	23	,	,	PUNCT
cana-1162	265	24	gousheh	gousheh	ADJ
cana-1162	265	25	mg	mg	PROPN
cana-1162	265	26	(	(	PUNCT
cana-1162	265	27	2011	2011	NUM
cana-1162	265	28	)	)	PUNCT
cana-1162	265	29	assessment	assessment	NOUN
cana-1162	265	30	of	of	ADP
cana-1162	265	31	input	input	NOUN
cana-1162	265	32	variables	variable	VERB
cana-1162	265	33	determination	determination	NOUN
cana-1162	265	34	on	on	ADP
cana-1162	265	35	the	the	DET
cana-1162	265	36	svm	svm	PROPN
cana-1162	265	37	model	model	NOUN
cana-1162	265	38	performance	performance	NOUN
cana-1162	265	39	using	use	VERB
cana-1162	265	40	pca	pca	PROPN
cana-1162	265	41	,	,	PUNCT
cana-1162	265	42	gamma	gamma	NOUN
cana-1162	265	43	test	test	NOUN
cana-1162	265	44	,	,	PUNCT
cana-1162	265	45	and	and	CCONJ
cana-1162	265	46	forward	forward	ADV
cana-1162	265	47	selection	selection	NOUN
cana-1162	265	48	techniques	technique	NOUN
cana-1162	265	49	for	for	ADP
cana-1162	265	50	monthly	monthly	ADJ
cana-1162	265	51	stream	stream	NOUN
cana-1162	265	52	flow	flow	NOUN
cana-1162	265	53	prediction	prediction	NOUN
cana-1162	265	54	.	.	PUNCT
cana-1162	266	1	j	j	PROPN
cana-1162	266	2	hydrol	hydrol	PROPN
cana-1162	266	3	401(3	401(3	NUM
cana-1162	266	4	-	-	SYM
cana-1162	266	5	4	4	NUM
cana-1162	266	6	):	):	PUNCT
cana-1162	266	7	177	177	NUM
cana-1162	266	8	-	-	SYM
cana-1162	266	9	189	189	NUM
cana-1162	266	10	.	.	PUNCT
cana-1162	267	1	[	[	X
cana-1162	267	2	30	30	NUM
cana-1162	267	3	]	]	PUNCT
cana-1162	267	4	salama	salama	NOUN
cana-1162	267	5	,	,	PUNCT
cana-1162	267	6	k.	k.	PROPN
cana-1162	267	7	f.	f.	PROPN
cana-1162	267	8	,	,	PUNCT
cana-1162	267	9	al	al	PROPN
cana-1162	267	10	obireed	obireed	PROPN
cana-1162	267	11	,	,	PUNCT
cana-1162	267	12	a.	a.	PROPN
cana-1162	267	13	,	,	PUNCT
cana-1162	267	14	al	al	PROPN
cana-1162	267	15	qarni	qarni	PROPN
cana-1162	267	16	,	,	PUNCT
cana-1162	267	17	a.	a.	PROPN
cana-1162	267	18	,	,	PUNCT
cana-1162	267	19	al	al	PROPN
cana-1162	267	20	bagawi	bagawi	PROPN
cana-1162	267	21	,	,	PUNCT
cana-1162	267	22	m.	m.	NOUN
cana-1162	267	23	,	,	PUNCT
cana-1162	267	24	&	&	CCONJ
cana-1162	267	25	al	al	PROPN
cana-1162	267	26	namsh	namsh	PROPN
cana-1162	267	27	,	,	PUNCT
cana-1162	267	28	k.	k.	PROPN
cana-1162	267	29	(	(	PUNCT
cana-1162	267	30	2016	2016	NUM
cana-1162	267	31	)	)	PUNCT
cana-1162	267	32	.	.	PUNCT
cana-1162	268	1	study	study	NOUN
cana-1162	268	2	of	of	ADP
cana-1162	268	3	air	air	NOUN
cana-1162	268	4	quality	quality	NOUN
cana-1162	268	5	and	and	CCONJ
cana-1162	268	6	noise	noise	NOUN
cana-1162	268	7	levels	level	NOUN
cana-1162	268	8	in	in	ADP
cana-1162	268	9	king	king	PROPN
cana-1162	268	10	fahad	fahad	PROPN
cana-1162	268	11	international	international	PROPN
cana-1162	268	12	airport	airport	PROPN
cana-1162	268	13	in	in	ADP
cana-1162	268	14	dammam	dammam	PROPN
cana-1162	268	15	,	,	PUNCT
cana-1162	268	16	saudi	saudi	PROPN
cana-1162	268	17	arabia	arabia	PROPN
cana-1162	268	18	.	.	PUNCT
cana-1162	269	1	the	the	DET
cana-1162	269	2	international	international	ADJ
cana-1162	269	3	journal	journal	NOUN
cana-1162	269	4	of	of	ADP
cana-1162	269	5	community	community	NOUN
cana-1162	269	6	medicine	medicine	NOUN
cana-1162	269	7	and	and	CCONJ
cana-1162	269	8	public	public	ADJ
cana-1162	269	9	health	health	NOUN
cana-1162	269	10	,	,	PUNCT
cana-1162	269	11	3(4	3(4	NUM
cana-1162	269	12	)	)	PUNCT
cana-1162	269	13	,	,	PUNCT
cana-1162	269	14	912	912	NUM
cana-1162	269	15	-	-	SYM
cana-1162	269	16	918	918	NUM
cana-1162	269	17	.	.	PUNCT
cana-1162	270	1	[	[	X
cana-1162	270	2	31	31	NUM
cana-1162	270	3	]	]	PUNCT
cana-1162	270	4	senthil	senthil	PROPN
cana-1162	270	5	kumar	kumar	PROPN
cana-1162	270	6	,	,	PUNCT
cana-1162	270	7	p.	p.	NOUN
cana-1162	270	8	(	(	PUNCT
cana-1162	270	9	2019	2019	NUM
cana-1162	270	10	)	)	PUNCT
cana-1162	270	11	.	.	PUNCT
cana-1162	271	1	improved	improve	VERB
cana-1162	271	2	prediction	prediction	NOUN
cana-1162	271	3	of	of	ADP
cana-1162	271	4	wind	wind	NOUN
cana-1162	271	5	speed	speed	NOUN
cana-1162	271	6	using	use	VERB
cana-1162	271	7	machine	machine	NOUN
cana-1162	271	8	learning	learning	NOUN
cana-1162	271	9	.	.	PUNCT
cana-1162	272	1	eai	eai	PROPN
cana-1162	272	2	endorsed	endorse	VERB
cana-1162	272	3	transactions	transaction	NOUN
cana-1162	272	4	on	on	ADP
cana-1162	272	5	the	the	DET
cana-1162	272	6	energy	energy	NOUN
cana-1162	272	7	web	web	NOUN
cana-1162	272	8	,	,	PUNCT
cana-1162	272	9	6(23	6(23	NUM
cana-1162	272	10	)	)	PUNCT
cana-1162	272	11	.	.	PUNCT
cana-1162	273	1	[	[	X
cana-1162	273	2	32	32	NUM
cana-1162	273	3	]	]	PUNCT
cana-1162	273	4	shen	shen	PROPN
cana-1162	273	5	,	,	PUNCT
cana-1162	273	6	z.	z.	PROPN
cana-1162	273	7	,	,	PUNCT
cana-1162	273	8	fan	fan	PROPN
cana-1162	273	9	,	,	PUNCT
cana-1162	273	10	x.	x.	PROPN
cana-1162	273	11	,	,	PUNCT
cana-1162	273	12	zhang	zhang	PROPN
cana-1162	273	13	,	,	PUNCT
cana-1162	273	14	l.	l.	PROPN
cana-1162	273	15	,	,	PUNCT
cana-1162	273	16	&	&	CCONJ
cana-1162	273	17	yu	yu	PROPN
cana-1162	273	18	,	,	PUNCT
cana-1162	273	19	h.	h.	PROPN
cana-1162	273	20	(	(	PUNCT
cana-1162	273	21	2022	2022	NUM
cana-1162	273	22	)	)	PUNCT
cana-1162	273	23	.	.	PUNCT
cana-1162	274	1	wind	wind	NOUN
cana-1162	274	2	speed	speed	NOUN
cana-1162	274	3	prediction	prediction	NOUN
cana-1162	274	4	of	of	ADP
cana-1162	274	5	unmanned	unmanned	ADJ
cana-1162	274	6	sailboat	sailboat	NOUN
cana-1162	274	7	based	base	VERB
cana-1162	274	8	on	on	ADP
cana-1162	274	9	cnn	cnn	PROPN
cana-1162	274	10	and	and	CCONJ
cana-1162	274	11	lstm	lstm	NOUN
cana-1162	274	12	hybrid	hybrid	ADJ
cana-1162	274	13	neural	neural	ADJ
cana-1162	274	14	network	network	NOUN
cana-1162	274	15	.	.	PUNCT
cana-1162	275	1	ocean	ocean	PROPN
cana-1162	275	2	engineering	engineering	PROPN
cana-1162	275	3	,	,	PUNCT
cana-1162	275	4	254	254	NUM
cana-1162	275	5	,	,	PUNCT
cana-1162	275	6	111352	111352	NUM
cana-1162	275	7	.	.	PUNCT
cana-1162	276	1	[	[	X
cana-1162	276	2	33	33	NUM
cana-1162	276	3	]	]	PUNCT
cana-1162	276	4	tran	tran	NOUN
cana-1162	276	5	,	,	PUNCT
cana-1162	276	6	t.	t.	PROPN
cana-1162	276	7	t.	t.	PROPN
cana-1162	276	8	k.	k.	PROPN
cana-1162	276	9	,	,	PUNCT
cana-1162	276	10	bateni	bateni	PROPN
cana-1162	276	11	,	,	PUNCT
cana-1162	276	12	s.	s.	PROPN
cana-1162	276	13	m.	m.	PROPN
cana-1162	276	14	,	,	PUNCT
cana-1162	276	15	ki	ki	PROPN
cana-1162	276	16	,	,	PUNCT
cana-1162	276	17	s.	s.	PROPN
cana-1162	276	18	j.	j.	PROPN
cana-1162	276	19	,	,	PUNCT
cana-1162	276	20	&	&	CCONJ
cana-1162	276	21	vosoughifar	vosoughifar	PROPN
cana-1162	276	22	,	,	PUNCT
cana-1162	276	23	h.	h.	PROPN
cana-1162	276	24	(	(	PUNCT
cana-1162	276	25	2021	2021	NUM
cana-1162	276	26	)	)	PUNCT
cana-1162	276	27	.	.	PUNCT
cana-1162	277	1	a	a	DET
cana-1162	277	2	review	review	NOUN
cana-1162	277	3	of	of	ADP
cana-1162	277	4	neural	neural	ADJ
cana-1162	277	5	networks	network	NOUN
cana-1162	277	6	for	for	ADP
cana-1162	277	7	air	air	NOUN
cana-1162	277	8	temperature	temperature	NOUN
cana-1162	277	9	forecasting	forecasting	NOUN
cana-1162	277	10	.	.	PUNCT
cana-1162	278	1	water	water	NOUN
cana-1162	278	2	,	,	PUNCT
cana-1162	278	3	13(9	13(9	NUM
cana-1162	278	4	)	)	PUNCT
cana-1162	278	5	,	,	PUNCT
cana-1162	278	6	1294	1294	NUM
cana-1162	278	7	.	.	PUNCT
cana-1162	279	1	[	[	X
cana-1162	279	2	34	34	NUM
cana-1162	279	3	]	]	X
cana-1162	279	4	wali	wali	PROPN
cana-1162	279	5	,	,	PUNCT
cana-1162	279	6	r.	r.	PROPN
cana-1162	279	7	,	,	PUNCT
cana-1162	279	8	&	&	CCONJ
cana-1162	279	9	kouki	kouki	PROPN
cana-1162	279	10	,	,	PUNCT
cana-1162	279	11	r.	r.	PROPN
cana-1162	279	12	(	(	PUNCT
cana-1162	279	13	2021	2021	NUM
cana-1162	279	14	)	)	PUNCT
cana-1162	279	15	.	.	PUNCT
cana-1162	280	1	investigating	investigate	VERB
cana-1162	280	2	airport	airport	NOUN
cana-1162	280	3	service	service	NOUN
cana-1162	280	4	quality	quality	NOUN
cana-1162	280	5	:	:	PUNCT
cana-1162	280	6	the	the	DET
cana-1162	280	7	case	case	NOUN
cana-1162	280	8	of	of	ADP
cana-1162	280	9	king	king	PROPN
cana-1162	280	10	abdulaziz	abdulaziz	PROPN
cana-1162	280	11	international	international	PROPN
cana-1162	280	12	airport	airport	PROPN
cana-1162	280	13	.	.	PUNCT
cana-1162	281	1	palarch	palarch	NOUN
cana-1162	281	2	's	's	PART
cana-1162	281	3	journal	journal	NOUN
cana-1162	281	4	of	of	ADP
cana-1162	281	5	archaeology	archaeology	NOUN
cana-1162	281	6	of	of	ADP
cana-1162	281	7	egypt	egypt	PROPN
cana-1162	281	8	/	/	SYM
cana-1162	281	9	egyptology	egyptology	NOUN
cana-1162	281	10	,	,	PUNCT
cana-1162	281	11	18(15	18(15	NUM
cana-1162	281	12	)	)	PUNCT
cana-1162	281	13	,	,	PUNCT
cana-1162	281	14	282	282	NUM
cana-1162	281	15	-	-	SYM
cana-1162	281	16	292	292	NUM
cana-1162	281	17	.	.	PUNCT
cana-1162	282	1	[	[	X
cana-1162	282	2	35	35	NUM
cana-1162	282	3	]	]	X
cana-1162	282	4	wesonga	wesonga	ADV
cana-1162	282	5	,	,	PUNCT
cana-1162	282	6	r.	r.	PROPN
cana-1162	282	7	,	,	PUNCT
cana-1162	282	8	nabugoomu	nabugoomu	PROPN
cana-1162	282	9	,	,	PUNCT
cana-1162	282	10	f.	f.	PROPN
cana-1162	282	11	,	,	PUNCT
cana-1162	282	12	ababneh	ababneh	PROPN
cana-1162	282	13	,	,	PUNCT
cana-1162	282	14	f.	f.	PROPN
cana-1162	282	15	,	,	PUNCT
cana-1162	282	16	&	&	CCONJ
cana-1162	282	17	owino	owino	PROPN
cana-1162	282	18	,	,	PUNCT
cana-1162	282	19	a.	a.	NOUN
cana-1162	282	20	(	(	PUNCT
cana-1162	282	21	2019	2019	NUM
cana-1162	282	22	)	)	PUNCT
cana-1162	282	23	.	.	PUNCT
cana-1162	283	1	simulation	simulation	NOUN
cana-1162	283	2	of	of	ADP
cana-1162	283	3	time	time	NOUN
cana-1162	283	4	series	series	PROPN
cana-1162	283	5	wind	wind	NOUN
cana-1162	283	6	speed	speed	NOUN
cana-1162	283	7	at	at	ADP
cana-1162	283	8	an	an	DET
cana-1162	283	9	international	international	ADJ
cana-1162	283	10	airport	airport	NOUN
cana-1162	283	11	.	.	PUNCT
cana-1162	284	1	simulation	simulation	NOUN
cana-1162	284	2	,	,	PUNCT
cana-1162	284	3	95(2	95(2	NOUN
cana-1162	284	4	)	)	PUNCT
cana-1162	284	5	,	,	PUNCT
cana-1162	284	6	171	171	NUM
cana-1162	284	7	-	-	SYM
cana-1162	284	8	184	184	NUM
cana-1162	284	9	.	.	PUNCT
cana-1162	285	1	[	[	X
cana-1162	285	2	36	36	NUM
cana-1162	285	3	]	]	X
cana-1162	285	4	wmo	wmo	PROPN
cana-1162	285	5	technical	technical	PROPN
cana-1162	285	6	regulations	regulation	NOUN
cana-1162	285	7	(	(	PUNCT
cana-1162	285	8	2013	2013	NUM
cana-1162	285	9	)	)	PUNCT
cana-1162	285	10	basic	basic	ADJ
cana-1162	285	11	documents	document	NOUN
cana-1162	285	12	no	no	INTJ
cana-1162	285	13	.	.	NOUN
cana-1162	285	14	2	2	NUM
cana-1162	285	15	,	,	PUNCT
cana-1162	285	16	volume	volume	NOUN
cana-1162	285	17	ii	ii	NOUN
cana-1162	285	18	-	-	ADJ
cana-1162	285	19	meteorological	meteorological	ADJ
cana-1162	285	20	service	service	NOUN
cana-1162	285	21	for	for	ADP
cana-1162	285	22	international	international	ADJ
cana-1162	285	23	air	air	NOUN
cana-1162	285	24	navigation	navigation	NOUN
cana-1162	285	25	.	.	PUNCT
cana-1162	286	1	[	[	X
cana-1162	286	2	37	37	NUM
cana-1162	286	3	]	]	SYM
cana-1162	286	4	wu	wu	PROPN
cana-1162	286	5	,	,	PUNCT
cana-1162	286	6	y.	y.	PROPN
cana-1162	286	7	c.	c.	PROPN
cana-1162	286	8	,	,	PUNCT
cana-1162	286	9	&	&	CCONJ
cana-1162	286	10	feng	feng	PROPN
cana-1162	286	11	,	,	PUNCT
cana-1162	286	12	j.	j.	PROPN
cana-1162	286	13	w.	w.	PROPN
cana-1162	286	14	(	(	PUNCT
cana-1162	286	15	2018	2018	NUM
cana-1162	286	16	)	)	PUNCT
cana-1162	286	17	.	.	PUNCT
cana-1162	287	1	development	development	NOUN
cana-1162	287	2	and	and	CCONJ
cana-1162	287	3	application	application	NOUN
cana-1162	287	4	of	of	ADP
cana-1162	287	5	artificial	artificial	ADJ
cana-1162	287	6	neural	neural	ADJ
cana-1162	287	7	network	network	NOUN
cana-1162	287	8	.	.	PUNCT
cana-1162	288	1	wireless	wireless	ADJ
cana-1162	288	2	personal	personal	ADJ
cana-1162	288	3	communications	communication	NOUN
cana-1162	288	4	,	,	PUNCT
cana-1162	288	5	102	102	NUM
cana-1162	288	6	,	,	PUNCT
cana-1162	288	7	1645	1645	NUM
cana-1162	288	8	-	-	SYM
cana-1162	288	9	1656	1656	NUM
cana-1162	288	10	.	.	PUNCT
cana-1162	289	1	[	[	X
cana-1162	289	2	38	38	NUM
cana-1162	289	3	]	]	PUNCT
cana-1162	289	4	yatiyana	yatiyana	PROPN
cana-1162	289	5	,	,	PUNCT
cana-1162	289	6	e.	e.	PROPN
cana-1162	289	7	,	,	PUNCT
cana-1162	289	8	rajakaruna	rajakaruna	PROPN
cana-1162	289	9	,	,	PUNCT
cana-1162	289	10	s.	s.	PROPN
cana-1162	289	11	,	,	PUNCT
cana-1162	289	12	&	&	CCONJ
cana-1162	289	13	ghosh	ghosh	PROPN
cana-1162	289	14	,	,	PUNCT
cana-1162	289	15	a.	a.	NOUN
cana-1162	289	16	(	(	PUNCT
cana-1162	289	17	2017	2017	NUM
cana-1162	289	18	)	)	PUNCT
cana-1162	289	19	.	.	PUNCT
cana-1162	290	1	wind	wind	NOUN
cana-1162	290	2	speed	speed	NOUN
cana-1162	290	3	and	and	CCONJ
cana-1162	290	4	direction	direction	NOUN
cana-1162	290	5	forecasting	forecasting	NOUN
cana-1162	290	6	for	for	ADP
cana-1162	290	7	wind	wind	NOUN
cana-1162	290	8	power	power	NOUN
cana-1162	290	9	generation	generation	NOUN
cana-1162	290	10	using	use	VERB
cana-1162	290	11	arima	arima	PROPN
cana-1162	290	12	model	model	NOUN
cana-1162	290	13	.	.	PUNCT
cana-1162	291	1	in	in	ADP
cana-1162	291	2	2017	2017	NUM
cana-1162	291	3	australasian	australasian	ADJ
cana-1162	291	4	universities	university	NOUN
cana-1162	291	5	power	power	NOUN
cana-1162	291	6	engineering	engineering	NOUN
cana-1162	291	7	conference	conference	NOUN
cana-1162	291	8	(	(	PUNCT
cana-1162	291	9	aupec	aupec	NOUN
cana-1162	291	10	)	)	PUNCT
cana-1162	291	11	.	.	PUNCT
cana-1162	292	1	1	1	NUM
cana-1162	292	2	-	-	SYM
cana-1162	292	3	6	6	NUM
cana-1162	292	4	.	.	PUNCT
cana-1162	293	1	[	[	X
cana-1162	293	2	39	39	NUM
cana-1162	293	3	]	]	X
cana-1162	293	4	zhang	zhang	PROPN
cana-1162	293	5	,	,	PUNCT
cana-1162	293	6	g.	g.	PROPN
cana-1162	293	7	,	,	PUNCT
cana-1162	293	8	patuwo	patuwo	PROPN
cana-1162	293	9	,	,	PUNCT
cana-1162	293	10	b.	b.	PROPN
cana-1162	293	11	e.	e.	PROPN
cana-1162	293	12	,	,	PUNCT
cana-1162	293	13	&	&	CCONJ
cana-1162	293	14	hu	hu	PROPN
cana-1162	293	15	,	,	PUNCT
cana-1162	293	16	m.	m.	NOUN
cana-1162	293	17	y.	y.	PROPN
cana-1162	293	18	(	(	PUNCT
cana-1162	293	19	1998	1998	NUM
cana-1162	293	20	)	)	PUNCT
cana-1162	293	21	.	.	PUNCT
cana-1162	294	1	forecasting	forecast	VERB
cana-1162	294	2	with	with	ADP
cana-1162	294	3	artificial	artificial	ADJ
cana-1162	294	4	neural	neural	ADJ
cana-1162	294	5	networks	network	NOUN
cana-1162	294	6	:	:	PUNCT
cana-1162	294	7	the	the	DET
cana-1162	294	8	state	state	NOUN
cana-1162	294	9	of	of	ADP
cana-1162	294	10	the	the	DET
cana-1162	294	11	art	art	NOUN
cana-1162	294	12	.	.	PUNCT
cana-1162	295	1	international	international	ADJ
cana-1162	295	2	journal	journal	PROPN
cana-1162	295	3	of	of	ADP
cana-1162	295	4	forecasting	forecasting	NOUN
cana-1162	295	5	,	,	PUNCT
cana-1162	295	6	14(1	14(1	NUM
cana-1162	295	7	)	)	PUNCT
cana-1162	295	8	,	,	PUNCT
cana-1162	295	9	35	35	NUM
cana-1162	295	10	-	-	SYM
cana-1162	295	11	62	62	NUM
cana-1162	295	12	.	.	PUNCT
cana-1162	296	1	[	[	X
cana-1162	296	2	40	40	NUM
cana-1162	296	3	]	]	X
cana-1162	296	4	zhu	zhu	PROPN
cana-1162	296	5	,	,	PUNCT
cana-1162	296	6	x.	x.	PROPN
cana-1162	296	7	,	,	PUNCT
cana-1162	296	8	liu	liu	PROPN
cana-1162	296	9	,	,	PUNCT
cana-1162	296	10	r.	r.	PROPN
cana-1162	296	11	,	,	PUNCT
cana-1162	296	12	chen	chen	PROPN
cana-1162	296	13	,	,	PUNCT
cana-1162	296	14	y.	y.	PROPN
cana-1162	296	15	,	,	PUNCT
cana-1162	296	16	gao	gao	PROPN
cana-1162	296	17	,	,	PUNCT
cana-1162	296	18	x.	x.	PROPN
cana-1162	296	19	,	,	PUNCT
cana-1162	296	20	wang	wang	PROPN
cana-1162	296	21	,	,	PUNCT
cana-1162	296	22	y.	y.	PROPN
cana-1162	296	23	,	,	PUNCT
cana-1162	296	24	&	&	CCONJ
cana-1162	296	25	xu	xu	PROPN
cana-1162	296	26	,	,	PUNCT
cana-1162	296	27	z.	z.	PROPN
cana-1162	296	28	(	(	PUNCT
cana-1162	296	29	2021	2021	NUM
cana-1162	296	30	)	)	PUNCT
cana-1162	296	31	.	.	PUNCT
cana-1162	297	1	wind	wind	NOUN
cana-1162	297	2	speed	speed	NOUN
cana-1162	297	3	behaviors	behavior	NOUN
cana-1162	297	4	feather	feather	NOUN
cana-1162	297	5	analysis	analysis	NOUN
cana-1162	297	6	and	and	CCONJ
cana-1162	297	7	its	its	PRON
cana-1162	297	8	utilization	utilization	NOUN
cana-1162	297	9	on	on	ADP
cana-1162	297	10	wind	wind	NOUN
cana-1162	297	11	speed	speed	NOUN
cana-1162	297	12	prediction	prediction	NOUN
cana-1162	297	13	using	use	VERB
cana-1162	297	14	3d	3d	PROPN
cana-1162	297	15	-	-	PUNCT
cana-1162	297	16	cnn	cnn	PROPN
cana-1162	297	17	.	.	PUNCT
cana-1162	298	1	energy	energy	NOUN
cana-1162	298	2	,	,	PUNCT
cana-1162	298	3	236	236	NUM
cana-1162	298	4	,	,	PUNCT
cana-1162	298	5	121523	121523	NUM
cana-1162	298	6	.	.	PUNCT