id	sid	tid	token	lemma	pos
easat-3717	1	1	edelweiss	edelweiss	PROPN
easat-3717	1	2	applied	apply	VERB
easat-3717	1	3	science	science	NOUN
easat-3717	1	4	and	and	CCONJ
easat-3717	1	5	technology	technology	NOUN
easat-3717	1	6	issn	issn	PROPN
easat-3717	1	7	:	:	PUNCT
easat-3717	1	8	2576	2576	NUM
easat-3717	1	9	-	-	SYM
easat-3717	1	10	8484	8484	NUM
easat-3717	1	11	vol	vol	NOUN
easat-3717	1	12	.	.	PROPN
easat-3717	1	13	8	8	NUM
easat-3717	1	14	,	,	PUNCT
easat-3717	1	15	no	no	INTJ
easat-3717	1	16	.	.	NOUN
easat-3717	1	17	6	6	NUM
easat-3717	1	18	,	,	PUNCT
easat-3717	1	19	7878	7878	NUM
easat-3717	1	20	-	-	SYM
easat-3717	1	21	7901	7901	NUM
easat-3717	1	22	2024	2024	NUM
easat-3717	1	23	publisher	publisher	NOUN
easat-3717	1	24	:	:	PUNCT
easat-3717	1	25	learning	learn	VERB
easat-3717	1	26	gate	gate	NOUN
easat-3717	1	27	doi	doi	PROPN
easat-3717	1	28	:	:	PUNCT
easat-3717	1	29	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	1	30	©	©	PROPN
easat-3717	1	31	2024	2024	NUM
easat-3717	1	32	by	by	ADP
easat-3717	1	33	the	the	DET
easat-3717	1	34	authors	author	NOUN
easat-3717	1	35	;	;	PUNCT
easat-3717	1	36	licensee	licensee	PROPN
easat-3717	1	37	learning	learning	NOUN
easat-3717	1	38	gate	gate	NOUN
easat-3717	1	39	©	©	PROPN
easat-3717	1	40	2024	2024	NUM
easat-3717	1	41	by	by	ADP
easat-3717	1	42	the	the	DET
easat-3717	1	43	authors	author	NOUN
easat-3717	1	44	;	;	PUNCT
easat-3717	1	45	licensee	licensee	PROPN
easat-3717	1	46	learning	learn	VERB
easat-3717	1	47	gate	gate	NOUN
easat-3717	1	48	*	*	PUNCT
easat-3717	1	49	correspondence	correspondence	NOUN
easat-3717	1	50	:	:	PUNCT
easat-3717	2	1	byeon@inje.ac.kr	byeon@inje.ac.kr	X
easat-3717	2	2	optimizing	optimize	VERB
easat-3717	2	3	quality	quality	NOUN
easat-3717	2	4	of	of	ADP
easat-3717	2	5	service	service	NOUN
easat-3717	2	6	forecasting	forecasting	NOUN
easat-3717	2	7	in	in	ADP
easat-3717	2	8	mobile	mobile	ADJ
easat-3717	2	9	networks	network	NOUN
easat-3717	2	10	through	through	ADP
easat-3717	2	11	modified	modify	VERB
easat-3717	2	12	walrus	walrus	PROPN
easat-3717	2	13	optimization	optimization	NOUN
easat-3717	2	14	and	and	CCONJ
easat-3717	2	15	multivariate	multivariate	NOUN
easat-3717	2	16	approaches	approach	NOUN
easat-3717	2	17	bandu	bandu	PROPN
easat-3717	2	18	uppalaiah1	uppalaiah1	PROPN
easat-3717	2	19	,	,	PUNCT
easat-3717	2	20	d.	d.	PROPN
easat-3717	2	21	mallikarjuna	mallikarjuna	PROPN
easat-3717	2	22	reddy2	reddy2	PROPN
easat-3717	2	23	,	,	PUNCT
easat-3717	2	24	vediyappan	vediyappan	ADJ
easat-3717	2	25	govindan3	govindan3	PROPN
easat-3717	2	26	,	,	PUNCT
easat-3717	2	27	haewon	haewon	VERB
easat-3717	2	28	byeon4	byeon4	PROPN
easat-3717	2	29	*	*	PROPN
easat-3717	2	30	1department	1department	NUM
easat-3717	2	31	of	of	ADP
easat-3717	2	32	mathematics	mathematic	NOUN
easat-3717	2	33	,	,	PUNCT
easat-3717	2	34	hyderabad	hyderabad	PROPN
easat-3717	2	35	institute	institute	PROPN
easat-3717	2	36	of	of	ADP
easat-3717	2	37	technology	technology	NOUN
easat-3717	2	38	and	and	CCONJ
easat-3717	2	39	management	management	NOUN
easat-3717	2	40	,	,	PUNCT
easat-3717	2	41	hyderabad	hyderabad	PROPN
easat-3717	2	42	,	,	PUNCT
easat-3717	2	43	telangana	telangana	PROPN
easat-3717	2	44	,	,	PUNCT
easat-3717	2	45	501401	501401	NUM
easat-3717	2	46	,	,	PUNCT
easat-3717	2	47	india	india	PROPN
easat-3717	2	48	;	;	PUNCT
easat-3717	2	49	upendar.sourav@gmail.com	upendar.sourav@gmail.com	X
easat-3717	2	50	(	(	PUNCT
easat-3717	2	51	b.u	b.u	PROPN
easat-3717	2	52	.	.	PROPN
easat-3717	2	53	)	)	PUNCT
easat-3717	2	54	.	.	PUNCT
easat-3717	3	1	2department	2department	NUM
easat-3717	3	2	of	of	ADP
easat-3717	3	3	mathematics	mathematic	NOUN
easat-3717	3	4	,	,	PUNCT
easat-3717	3	5	gitam	gitam	NOUN
easat-3717	3	6	(	(	PUNCT
easat-3717	3	7	deemed	deem	VERB
easat-3717	3	8	to	to	PART
easat-3717	3	9	be	be	AUX
easat-3717	3	10	university	university	NOUN
easat-3717	3	11	)	)	PUNCT
easat-3717	3	12	,	,	PUNCT
easat-3717	3	13	hyderabad	hyderabad	PROPN
easat-3717	3	14	,	,	PUNCT
easat-3717	3	15	telangana	telangana	PROPN
easat-3717	3	16	,	,	PUNCT
easat-3717	3	17	502329	502329	NUM
easat-3717	3	18	,	,	PUNCT
easat-3717	3	19	india	india	PROPN
easat-3717	3	20	;	;	PUNCT
easat-3717	3	21	drmallikreddyd@gmail.com	drmallikreddyd@gmail.com	X
easat-3717	3	22	(	(	PUNCT
easat-3717	3	23	d.m.r	d.m.r	NOUN
easat-3717	3	24	.	.	PUNCT
easat-3717	3	25	)	)	PUNCT
easat-3717	3	26	.	.	PUNCT
easat-3717	4	1	3department	3department	NUM
easat-3717	4	2	of	of	ADP
easat-3717	4	3	mathematics	mathematic	NOUN
easat-3717	4	4	,	,	PUNCT
easat-3717	4	5	hindustan	hindustan	PROPN
easat-3717	4	6	institute	institute	PROPN
easat-3717	4	7	of	of	ADP
easat-3717	4	8	technology	technology	PROPN
easat-3717	4	9	and	and	CCONJ
easat-3717	4	10	science	science	NOUN
easat-3717	4	11	,	,	PUNCT
easat-3717	4	12	chennai	chennai	PROPN
easat-3717	4	13	;	;	PUNCT
easat-3717	4	14	vedimalawi@gmail.com	vedimalawi@gmail.com	X
easat-3717	4	15	(	(	PUNCT
easat-3717	4	16	v.g	v.g	PROPN
easat-3717	4	17	.	.	PROPN
easat-3717	4	18	)	)	PUNCT
easat-3717	4	19	.	.	PUNCT
easat-3717	5	1	4department	4department	NUM
easat-3717	5	2	of	of	ADP
easat-3717	5	3	ai	ai	PRON
easat-3717	5	4	big	big	ADJ
easat-3717	5	5	data	data	PROPN
easat-3717	5	6	,	,	PUNCT
easat-3717	5	7	inje	inje	PROPN
easat-3717	5	8	university	university	PROPN
easat-3717	5	9	,	,	PUNCT
easat-3717	5	10	gimhae	gimhae	NOUN
easat-3717	5	11	,	,	PUNCT
easat-3717	5	12	50834	50834	NUM
easat-3717	5	13	,	,	PUNCT
easat-3717	5	14	republic	republic	NOUN
easat-3717	5	15	of	of	ADP
easat-3717	5	16	korea	korea	PROPN
easat-3717	5	17	;	;	PUNCT
easat-3717	5	18	byeon@inje.ac.kr	byeon@inje.ac.kr	X
easat-3717	5	19	(	(	PUNCT
easat-3717	5	20	h.b	h.b	PROPN
easat-3717	5	21	.	.	PROPN
easat-3717	5	22	)	)	PUNCT
easat-3717	5	23	.	.	PUNCT
easat-3717	6	1	abstract	abstract	ADV
easat-3717	6	2	:	:	PUNCT
easat-3717	6	3	this	this	DET
easat-3717	6	4	paper	paper	NOUN
easat-3717	6	5	presents	present	VERB
easat-3717	6	6	ensemble	ensemble	ADV
easat-3717	6	7	-	-	PUNCT
easat-3717	6	8	based	base	VERB
easat-3717	6	9	service	service	NOUN
easat-3717	6	10	quality	quality	NOUN
easat-3717	6	11	prediction	prediction	NOUN
easat-3717	6	12	(	(	PUNCT
easat-3717	6	13	eaqp	eaqp	NOUN
easat-3717	6	14	)	)	PUNCT
easat-3717	6	15	,	,	PUNCT
easat-3717	6	16	an	an	DET
easat-3717	6	17	automated	automate	VERB
easat-3717	6	18	method	method	NOUN
easat-3717	6	19	for	for	ADP
easat-3717	6	20	predicting	predict	VERB
easat-3717	6	21	service	service	NOUN
easat-3717	6	22	quality	quality	NOUN
easat-3717	6	23	under	under	ADP
easat-3717	6	24	changing	change	VERB
easat-3717	6	25	mobile	mobile	ADJ
easat-3717	6	26	network	network	NOUN
easat-3717	6	27	conditions	condition	NOUN
easat-3717	6	28	.	.	PUNCT
easat-3717	7	1	eaqp	eaqp	PROPN
easat-3717	7	2	incorporates	incorporate	VERB
easat-3717	7	3	data	datum	NOUN
easat-3717	7	4	preparation	preparation	NOUN
easat-3717	7	5	methods	method	NOUN
easat-3717	7	6	such	such	ADJ
easat-3717	7	7	as	as	ADP
easat-3717	7	8	transformation	transformation	NOUN
easat-3717	7	9	,	,	PUNCT
easat-3717	7	10	purification	purification	NOUN
easat-3717	7	11	,	,	PUNCT
easat-3717	7	12	&	&	CCONJ
easat-3717	7	13	imputation	imputation	NOUN
easat-3717	7	14	,	,	PUNCT
easat-3717	7	15	and	and	CCONJ
easat-3717	7	16	then	then	ADV
easat-3717	7	17	performs	perform	VERB
easat-3717	7	18	feature	feature	NOUN
easat-3717	7	19	extraction	extraction	NOUN
easat-3717	7	20	utilizing	utilize	VERB
easat-3717	7	21	statistical	statistical	ADJ
easat-3717	7	22	,	,	PUNCT
easat-3717	7	23	geographical	geographical	ADJ
easat-3717	7	24	,	,	PUNCT
easat-3717	7	25	as	as	ADV
easat-3717	7	26	well	well	ADV
easat-3717	7	27	as	as	ADP
easat-3717	7	28	temporal	temporal	ADJ
easat-3717	7	29	approaches	approach	NOUN
easat-3717	7	30	.	.	PUNCT
easat-3717	8	1	an	an	DET
easat-3717	8	2	improved	improve	VERB
easat-3717	8	3	feature	feature	NOUN
easat-3717	8	4	selection	selection	NOUN
easat-3717	8	5	method	method	NOUN
easat-3717	8	6	,	,	PUNCT
easat-3717	8	7	using	use	VERB
easat-3717	8	8	a	a	DET
easat-3717	8	9	unique	unique	ADJ
easat-3717	8	10	weighting	weighting	NOUN
easat-3717	8	11	approach	approach	NOUN
easat-3717	8	12	and	and	CCONJ
easat-3717	8	13	optimized	optimize	VERB
easat-3717	8	14	by	by	ADP
easat-3717	8	15	a	a	DET
easat-3717	8	16	modified	modify	VERB
easat-3717	8	17	walrus	walrus	NOUN
easat-3717	8	18	optimization	optimization	NOUN
easat-3717	8	19	algorithm	algorithm	NOUN
easat-3717	8	20	,	,	PUNCT
easat-3717	8	21	improves	improve	VERB
easat-3717	8	22	the	the	DET
easat-3717	8	23	accuracy	accuracy	NOUN
easat-3717	8	24	of	of	ADP
easat-3717	8	25	predictions	prediction	NOUN
easat-3717	8	26	.	.	PUNCT
easat-3717	9	1	eaqp	eaqp	PROPN
easat-3717	9	2	utilizes	utilize	VERB
easat-3717	9	3	a	a	DET
easat-3717	9	4	variety	variety	NOUN
easat-3717	9	5	of	of	ADP
easat-3717	9	6	prediction	prediction	NOUN
easat-3717	9	7	models	model	NOUN
easat-3717	9	8	such	such	ADJ
easat-3717	9	9	as	as	ADP
easat-3717	9	10	support	support	NOUN
easat-3717	9	11	vector	vector	NOUN
easat-3717	9	12	regression	regression	NOUN
easat-3717	9	13	,	,	PUNCT
easat-3717	9	14	recurrent	recurrent	ADJ
easat-3717	9	15	neural	neural	ADJ
easat-3717	9	16	network	network	NOUN
easat-3717	9	17	models	model	NOUN
easat-3717	9	18	,	,	PUNCT
easat-3717	9	19	bi	bi	ADJ
easat-3717	9	20	-	-	ADJ
easat-3717	9	21	directional	directional	ADJ
easat-3717	9	22	short	short	ADJ
easat-3717	9	23	-	-	PUNCT
easat-3717	9	24	term	term	NOUN
easat-3717	9	25	long	long	ADJ
easat-3717	9	26	-	-	PUNCT
easat-3717	9	27	term	term	NOUN
easat-3717	9	28	memory	memory	NOUN
easat-3717	9	29	networks	network	NOUN
easat-3717	9	30	,	,	PUNCT
easat-3717	9	31	extreme	extreme	ADJ
easat-3717	9	32	learning	learning	NOUN
easat-3717	9	33	machines	machine	NOUN
easat-3717	9	34	,	,	PUNCT
easat-3717	9	35	along	along	ADP
easat-3717	9	36	with	with	ADP
easat-3717	9	37	multi	multi	ADJ
easat-3717	9	38	-	-	ADJ
easat-3717	9	39	layer	layer	ADJ
easat-3717	9	40	perceptron	perceptron	PROPN
easat-3717	9	41	neural	neural	PROPN
easat-3717	9	42	networks	network	NOUN
easat-3717	9	43	to	to	PART
easat-3717	9	44	enhance	enhance	VERB
easat-3717	9	45	predictive	predictive	ADJ
easat-3717	9	46	accuracy	accuracy	NOUN
easat-3717	9	47	.	.	PUNCT
easat-3717	10	1	eaqp	eaqp	PROPN
easat-3717	10	2	uses	use	VERB
easat-3717	10	3	complex	complex	ADJ
easat-3717	10	4	optimization	optimization	NOUN
easat-3717	10	5	algorithms	algorithm	NOUN
easat-3717	10	6	and	and	CCONJ
easat-3717	10	7	ensemble	ensemble	ADJ
easat-3717	10	8	learning	learning	NOUN
easat-3717	10	9	approaches	approach	NOUN
easat-3717	10	10	to	to	PART
easat-3717	10	11	provide	provide	VERB
easat-3717	10	12	precise	precise	ADJ
easat-3717	10	13	and	and	CCONJ
easat-3717	10	14	dependable	dependable	ADJ
easat-3717	10	15	predictions	prediction	NOUN
easat-3717	10	16	about	about	ADP
easat-3717	10	17	service	service	NOUN
easat-3717	10	18	quality	quality	NOUN
easat-3717	10	19	in	in	ADP
easat-3717	10	20	real	real	ADJ
easat-3717	10	21	-	-	PUNCT
easat-3717	10	22	time	time	NOUN
easat-3717	10	23	.	.	PUNCT
easat-3717	11	1	this	this	PRON
easat-3717	11	2	helps	help	VERB
easat-3717	11	3	in	in	ADP
easat-3717	11	4	proactive	proactive	ADJ
easat-3717	11	5	network	network	NOUN
easat-3717	11	6	management	management	NOUN
easat-3717	11	7	as	as	ADV
easat-3717	11	8	well	well	ADV
easat-3717	11	9	as	as	ADP
easat-3717	11	10	improvement	improvement	NOUN
easat-3717	11	11	.	.	PUNCT
easat-3717	12	1	this	this	DET
easat-3717	12	2	comprehensive	comprehensive	ADJ
easat-3717	12	3	approach	approach	NOUN
easat-3717	12	4	shows	show	VERB
easat-3717	12	5	potential	potential	NOUN
easat-3717	12	6	for	for	ADP
easat-3717	12	7	boosting	boost	VERB
easat-3717	12	8	network	network	NOUN
easat-3717	12	9	efficiency	efficiency	NOUN
easat-3717	12	10	,	,	PUNCT
easat-3717	12	11	optimizing	optimize	VERB
easat-3717	12	12	the	the	DET
easat-3717	12	13	distribution	distribution	NOUN
easat-3717	12	14	of	of	ADP
easat-3717	12	15	resources	resource	NOUN
easat-3717	12	16	,	,	PUNCT
easat-3717	12	17	and	and	CCONJ
easat-3717	12	18	enhancing	enhance	VERB
easat-3717	12	19	the	the	DET
easat-3717	12	20	end	end	NOUN
easat-3717	12	21	-	-	PUNCT
easat-3717	12	22	user	user	NOUN
easat-3717	12	23	experience	experience	NOUN
easat-3717	12	24	when	when	SCONJ
easat-3717	12	25	using	use	VERB
easat-3717	12	26	mobile	mobile	ADJ
easat-3717	12	27	communications	communication	NOUN
easat-3717	12	28	systems	system	NOUN
easat-3717	12	29	.	.	PUNCT
easat-3717	13	1	keywords	keyword	NOUN
easat-3717	13	2	:	:	PUNCT
easat-3717	13	3	ensemble	ensemble	ADJ
easat-3717	13	4	-	-	PUNCT
easat-3717	13	5	based	base	VERB
easat-3717	13	6	prediction	prediction	NOUN
easat-3717	13	7	,	,	PUNCT
easat-3717	13	8	feature	feature	NOUN
easat-3717	13	9	extraction	extraction	NOUN
easat-3717	13	10	,	,	PUNCT
easat-3717	13	11	recurrent	recurrent	ADJ
easat-3717	13	12	neural	neural	ADJ
easat-3717	13	13	networks	network	NOUN
easat-3717	13	14	,	,	PUNCT
easat-3717	13	15	service	service	NOUN
easat-3717	13	16	quality	quality	NOUN
easat-3717	13	17	prediction	prediction	NOUN
easat-3717	13	18	,	,	PUNCT
easat-3717	13	19	walrus	walrus	PROPN
easat-3717	13	20	optimisation	optimisation	NOUN
easat-3717	13	21	algorithm	algorithm	NOUN
easat-3717	13	22	.	.	PUNCT
easat-3717	14	1	1	1	X
easat-3717	14	2	.	.	X
easat-3717	14	3	introduction	introduction	NOUN
easat-3717	14	4	in	in	ADP
easat-3717	14	5	the	the	DET
easat-3717	14	6	ever	ever	ADV
easat-3717	14	7	-	-	PUNCT
easat-3717	14	8	evolving	evolve	VERB
easat-3717	14	9	landscape	landscape	NOUN
easat-3717	14	10	of	of	ADP
easat-3717	14	11	mobile	mobile	ADJ
easat-3717	14	12	networks	network	NOUN
easat-3717	14	13	,	,	PUNCT
easat-3717	14	14	the	the	DET
easat-3717	14	15	provision	provision	NOUN
easat-3717	14	16	of	of	ADP
easat-3717	14	17	high	high	ADJ
easat-3717	14	18	-	-	PUNCT
easat-3717	14	19	quality	quality	NOUN
easat-3717	14	20	services	service	NOUN
easat-3717	14	21	,	,	PUNCT
easat-3717	14	22	particularly	particularly	ADV
easat-3717	14	23	in	in	ADP
easat-3717	14	24	the	the	DET
easat-3717	14	25	domain	domain	NOUN
easat-3717	14	26	of	of	ADP
easat-3717	14	27	voice	voice	NOUN
easat-3717	14	28	over	over	ADP
easat-3717	14	29	internet	internet	NOUN
easat-3717	14	30	protocol	protocol	NOUN
easat-3717	14	31	(	(	PUNCT
easat-3717	14	32	voip	voip	NOUN
easat-3717	14	33	)	)	PUNCT
easat-3717	14	34	traffic	traffic	NOUN
easat-3717	14	35	,	,	PUNCT
easat-3717	14	36	stands	stand	VERB
easat-3717	14	37	as	as	ADP
easat-3717	14	38	a	a	DET
easat-3717	14	39	critical	critical	ADJ
easat-3717	14	40	challenge	challenge	NOUN
easat-3717	14	41	.	.	PUNCT
easat-3717	15	1	as	as	ADP
easat-3717	15	2	the	the	DET
easat-3717	15	3	demand	demand	NOUN
easat-3717	15	4	for	for	ADP
easat-3717	15	5	seamless	seamless	ADJ
easat-3717	15	6	communicationexperiencescontinuestosurge	communicationexperiencescontinuestosurge	NOUN
easat-3717	15	7	,	,	PUNCT
easat-3717	15	8	theneedforaccuratecharacterizationandforecastingof	theneedforaccuratecharacterizationandforecastingof	NOUN
easat-3717	15	9	voiptraffic	voiptraffic	NOUN
easat-3717	15	10	becomes	become	VERB
easat-3717	15	11	paramount	paramount	ADJ
easat-3717	15	12	to	to	PART
easat-3717	15	13	ensure	ensure	VERB
easat-3717	15	14	optimal	optimal	ADJ
easat-3717	15	15	quality	quality	NOUN
easat-3717	15	16	of	of	ADP
easat-3717	15	17	service	service	NOUN
easat-3717	15	18	(	(	PUNCT
easat-3717	15	19	qos)[1][2	qos)[1][2	PROPN
easat-3717	15	20	]	]	X
easat-3717	15	21	.	.	PUNCT
easat-3717	16	1	this	this	DET
easat-3717	16	2	paper	paper	NOUN
easat-3717	16	3	delves	delve	VERB
easat-3717	16	4	into	into	ADP
easat-3717	16	5	the	the	DET
easat-3717	16	6	multifaceted	multifaceted	ADJ
easat-3717	16	7	realm	realm	NOUN
easat-3717	16	8	of	of	ADP
easat-3717	16	9	multivariate	multivariate	NOUN
easat-3717	16	10	time	time	NOUN
easat-3717	16	11	series	series	PROPN
easat-3717	16	12	analysis	analysis	NOUN
easat-3717	16	13	to	to	PART
easat-3717	16	14	characterize	characterize	VERB
easat-3717	16	15	and	and	CCONJ
easat-3717	16	16	forecast	forecast	VERB
easat-3717	16	17	voip	voip	NOUN
easat-3717	16	18	traffic	traffic	NOUN
easat-3717	16	19	in	in	ADP
easat-3717	16	20	real	real	ADJ
easat-3717	16	21	mobile	mobile	ADJ
easat-3717	16	22	networks	network	NOUN
easat-3717	16	23	,	,	PUNCT
easat-3717	16	24	with	with	ADP
easat-3717	16	25	the	the	DET
easat-3717	16	26	ultimate	ultimate	ADJ
easat-3717	16	27	goal	goal	NOUN
easat-3717	16	28	of	of	ADP
easat-3717	16	29	enhancing	enhance	VERB
easat-3717	16	30	qos	qos	NOUN
easat-3717	16	31	prediction	prediction	NOUN
easat-3717	16	32	.	.	PUNCT
easat-3717	17	1	the	the	DET
easat-3717	17	2	proliferation	proliferation	NOUN
easat-3717	17	3	of	of	ADP
easat-3717	17	4	mobile	mobile	ADJ
easat-3717	17	5	devices	device	NOUN
easat-3717	17	6	and	and	CCONJ
easat-3717	17	7	the	the	DET
easat-3717	17	8	ubiquity	ubiquity	NOUN
easat-3717	17	9	of	of	ADP
easat-3717	17	10	high	high	ADJ
easat-3717	17	11	-	-	PUNCT
easat-3717	17	12	speed	speed	NOUN
easat-3717	17	13	data	data	NOUN
easat-3717	17	14	networks	network	NOUN
easat-3717	17	15	have	have	AUX
easat-3717	17	16	transformed	transform	VERB
easat-3717	17	17	the	the	DET
easat-3717	17	18	way	way	NOUN
easat-3717	17	19	individuals	individual	NOUN
easat-3717	17	20	and	and	CCONJ
easat-3717	17	21	businesses	business	NOUN
easat-3717	17	22	communicate	communicate	VERB
easat-3717	17	23	[	[	X
easat-3717	17	24	3	3	NUM
easat-3717	17	25	]	]	PUNCT
easat-3717	17	26	.	.	PUNCT
easat-3717	18	1	voip	voip	PROPN
easat-3717	18	2	technology	technology	NOUN
easat-3717	18	3	,	,	PUNCT
easat-3717	18	4	leveraging	leverage	VERB
easat-3717	18	5	the	the	DET
easat-3717	18	6	internet	internet	NOUN
easat-3717	18	7	as	as	ADP
easat-3717	18	8	a	a	DET
easat-3717	18	9	medium	medium	NOUN
easat-3717	18	10	for	for	ADP
easat-3717	18	11	voice	voice	NOUN
easat-3717	18	12	communication	communication	NOUN
easat-3717	18	13	,	,	PUNCT
easat-3717	18	14	has	have	AUX
easat-3717	18	15	become	become	VERB
easat-3717	18	16	a	a	DET
easat-3717	18	17	corner	corner	NOUN
easat-3717	18	18	stoneinthisparadigmshift.however	stoneinthisparadigmshift.however	NOUN
easat-3717	18	19	,	,	PUNCT
easat-3717	18	20	ensuringaconsistentandhigh	ensuringaconsistentandhigh	ADJ
easat-3717	18	21	-	-	PUNCT
easat-3717	18	22	quality	quality	NOUN
easat-3717	18	23	voipexperienceposesaconsiderable	voipexperienceposesaconsiderable	ADJ
easat-3717	18	24	challenge	challenge	NOUN
easat-3717	18	25	,	,	PUNCT
easat-3717	18	26	giventhedynamicandunpredictablenatureofmobilenetworkconditions.inthiscontext	giventhedynamicandunpredictablenatureofmobilenetworkconditions.inthiscontext	PROPN
easat-3717	18	27	,	,	PUNCT
easat-3717	18	28	thecharacte	thecharacte	VERB
easat-3717	18	29	rization	rization	NOUN
easat-3717	18	30	and	and	CCONJ
easat-3717	18	31	forecasting	forecasting	NOUN
easat-3717	18	32	of	of	ADP
easat-3717	18	33	voip	voip	ADJ
easat-3717	18	34	traffic	traffic	NOUN
easat-3717	18	35	through	through	ADP
easat-3717	18	36	multivariate	multivariate	NOUN
easat-3717	18	37	time	time	NOUN
easat-3717	18	38	series	series	PROPN
easat-3717	18	39	analysis	analysis	NOUN
easat-3717	18	40	emerge	emerge	VERB
easat-3717	18	41	as	as	ADP
easat-3717	18	42	indispensable	indispensable	ADJ
easat-3717	18	43	tools[4	tools[4	NOUN
easat-3717	18	44	]	]	PUNCT
easat-3717	18	45	.	.	PUNCT
easat-3717	19	1	by	by	ADP
easat-3717	19	2	understanding	understand	VERB
easat-3717	19	3	the	the	DET
easat-3717	19	4	intricate	intricate	ADJ
easat-3717	19	5	patterns	pattern	NOUN
easat-3717	19	6	and	and	CCONJ
easat-3717	19	7	interdependencies	interdependency	NOUN
easat-3717	19	8	within	within	ADP
easat-3717	19	9	the	the	DET
easat-3717	19	10	time	time	NOUN
easat-3717	19	11	series	series	PROPN
easat-3717	19	12	data	data	PROPN
easat-3717	19	13	,	,	PUNCT
easat-3717	19	14	network	network	NOUN
easat-3717	19	15	operators	operator	NOUN
easat-3717	19	16	can	can	AUX
easat-3717	19	17	make	make	VERB
easat-3717	19	18	informed	informed	ADJ
easat-3717	19	19	decisions	decision	NOUN
easat-3717	19	20	to	to	PART
easat-3717	19	21	optimize	optimize	VERB
easat-3717	19	22	qos	qos	NOUN
easat-3717	19	23	parameters	parameter	NOUN
easat-3717	19	24	.	.	PUNCT
easat-3717	20	1	this	this	DET
easat-3717	20	2	significance	significance	NOUN
easat-3717	20	3	is	be	AUX
easat-3717	20	4	amplified	amplify	VERB
easat-3717	20	5	in	in	ADP
easat-3717	20	6	cellular	cellular	ADJ
easat-3717	20	7	7879	7879	NUM
easat-3717	20	8	edelweiss	edelweiss	PROPN
easat-3717	20	9	applied	apply	VERB
easat-3717	20	10	science	science	NOUN
easat-3717	20	11	and	and	CCONJ
easat-3717	20	12	technology	technology	NOUN
easat-3717	20	13	issn	issn	PROPN
easat-3717	20	14	:	:	PUNCT
easat-3717	20	15	2576	2576	NUM
easat-3717	20	16	-	-	SYM
easat-3717	20	17	8484	8484	NUM
easat-3717	20	18	vol	vol	NOUN
easat-3717	20	19	.	.	PROPN
easat-3717	21	1	8	8	NUM
easat-3717	21	2	,	,	PUNCT
easat-3717	21	3	no	no	INTJ
easat-3717	21	4	.	.	NOUN
easat-3717	21	5	6	6	NUM
easat-3717	21	6	:	:	PUNCT
easat-3717	21	7	7878	7878	NUM
easat-3717	21	8	-	-	SYM
easat-3717	21	9	7901	7901	NUM
easat-3717	21	10	,	,	PUNCT
easat-3717	21	11	2024	2024	NUM
easat-3717	21	12	doi	doi	NOUN
easat-3717	21	13	:	:	PUNCT
easat-3717	21	14	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	21	15	©	©	PROPN
easat-3717	21	16	2024	2024	NUM
easat-3717	21	17	by	by	ADP
easat-3717	21	18	the	the	DET
easat-3717	21	19	authors	author	NOUN
easat-3717	21	20	;	;	PUNCT
easat-3717	21	21	licensee	licensee	PROPN
easat-3717	21	22	learning	learn	VERB
easat-3717	21	23	gate	gate	NOUN
easat-3717	21	24	environments	environment	NOUN
easat-3717	21	25	,	,	PUNCT
easat-3717	21	26	wheretheheightenedunpredictabilityofvariables	wheretheheightenedunpredictabilityofvariable	NOUN
easat-3717	21	27	,	,	PUNCT
easat-3717	21	28	suchasinterference	suchasinterference	NOUN
easat-3717	21	29	,	,	PUNCT
easat-3717	21	30	concurrentrealtimesessions	concurrentrealtimesession	NOUN
easat-3717	21	31	,	,	PUNCT
easat-3717	21	32	and	and	CCONJ
easat-3717	21	33	the	the	DET
easat-3717	21	34	dynamic	dynamic	ADJ
easat-3717	21	35	load	load	NOUN
easat-3717	21	36	of	of	ADP
easat-3717	21	37	mobile	mobile	ADJ
easat-3717	21	38	network	network	NOUN
easat-3717	21	39	nodes	node	NOUN
easat-3717	21	40	,	,	PUNCT
easat-3717	21	41	presents	present	VERB
easat-3717	21	42	intricate	intricate	ADJ
easat-3717	21	43	challenge[5	challenge[5	PROPN
easat-3717	21	44	]	]	PUNCT
easat-3717	21	45	.	.	PUNCT
easat-3717	22	1	we	we	PRON
easat-3717	22	2	address	address	VERB
easat-3717	22	3	these	these	DET
easat-3717	22	4	challenges	challenge	NOUN
easat-3717	22	5	by	by	ADP
easat-3717	22	6	employing	employ	VERB
easat-3717	22	7	a	a	DET
easat-3717	22	8	multivariate	multivariate	NOUN
easat-3717	22	9	predictive	predictive	ADJ
easat-3717	22	10	time	time	NOUN
easat-3717	22	11	series	series	PROPN
easat-3717	22	12	analysis	analysis	NOUN
easat-3717	22	13	of	of	ADP
easat-3717	22	14	voice	voice	NOUN
easat-3717	22	15	over	over	ADP
easat-3717	22	16	internet	internet	NOUN
easat-3717	22	17	protocol	protocol	NOUN
easat-3717	22	18	(	(	PUNCT
easat-3717	22	19	voip	voip	NOUN
easat-3717	22	20	)	)	PUNCT
easat-3717	22	21	traffic	traffic	NOUN
easat-3717	22	22	within	within	ADP
easat-3717	22	23	an	an	DET
easat-3717	22	24	urban	urban	ADJ
easat-3717	22	25	long	long	ADJ
easat-3717	22	26	-	-	PUNCT
easat-3717	22	27	term	term	NOUN
easat-3717	22	28	evolution	evolution	NOUN
easat-3717	22	29	advanced	advanced	ADJ
easat-3717	22	30	(	(	PUNCT
easat-3717	22	31	lte	lte	PROPN
easat-3717	22	32	-	-	PUNCT
easat-3717	22	33	a	a	PRON
easat-3717	22	34	)	)	PUNCT
easat-3717	22	35	environment	environment	NOUN
easat-3717	22	36	.	.	PUNCT
easat-3717	23	1	currently	currently	ADV
easat-3717	23	2	,	,	PUNCT
easat-3717	23	3	lte	lte	PROPN
easat-3717	23	4	standsasthepredominantbroadbandtechnology	standsasthepredominantbroadbandtechnology	PROPN
easat-3717	23	5	,	,	PUNCT
easat-3717	23	6	encompassing57%ofglobalusers.legacytechnologieslike2	encompassing57%ofglobalusers.legacytechnologieslike2	PROPN
easat-3717	23	7	g	g	PROPN
easat-3717	23	8	and	and	CCONJ
easat-3717	23	9	3	3	NUM
easat-3717	23	10	g	g	NOUN
easat-3717	23	11	persistently	persistently	ADV
easat-3717	23	12	find	find	VERB
easat-3717	23	13	use	use	NOUN
easat-3717	23	14	,	,	PUNCT
easat-3717	23	15	constituting	constitute	VERB
easat-3717	23	16	about	about	ADP
easat-3717	23	17	38	38	NUM
easat-3717	23	18	%	%	NOUN
easat-3717	23	19	of	of	ADP
easat-3717	23	20	subscriptions	subscription	NOUN
easat-3717	23	21	.	.	PUNCT
easat-3717	24	1	in	in	ADP
easat-3717	24	2	contrast	contrast	NOUN
easat-3717	24	3	,	,	PUNCT
easat-3717	24	4	5	5	NUM
easat-3717	24	5	g	g	NOUN
easat-3717	24	6	comprises	comprise	VERB
easat-3717	24	7	approximately	approximately	ADV
easat-3717	24	8	5	5	NUM
easat-3717	24	9	%	%	NOUN
easat-3717	24	10	of	of	ADP
easat-3717	24	11	subscriptions	subscription	NOUN
easat-3717	24	12	,	,	PUNCT
easat-3717	24	13	primarily	primarily	ADV
easat-3717	24	14	due	due	ADP
easat-3717	24	15	to	to	ADP
easat-3717	24	16	its	its	PRON
easat-3717	24	17	market	market	NOUN
easat-3717	24	18	infancy	infancy	NOUN
easat-3717	24	19	[	[	X
easat-3717	24	20	6][7	6][7	NUM
easat-3717	24	21	]	]	PUNCT
easat-3717	24	22	.	.	PUNCT
easat-3717	25	1	notably	notably	ADV
easat-3717	25	2	,	,	PUNCT
easat-3717	25	3	the	the	DET
easat-3717	25	4	prevalent	prevalent	ADJ
easat-3717	25	5	deployment	deployment	NOUN
easat-3717	25	6	method	method	NOUN
easat-3717	25	7	is	be	AUX
easat-3717	25	8	non	non	ADJ
easat-3717	25	9	-	-	ADJ
easat-3717	25	10	standalone	standalone	ADJ
easat-3717	25	11	(	(	PUNCT
easat-3717	25	12	nsa	nsa	PROPN
easat-3717	25	13	)	)	PUNCT
easat-3717	25	14	5	5	NUM
easat-3717	25	15	g	g	NOUN
easat-3717	25	16	,	,	PUNCT
easat-3717	25	17	where	where	SCONJ
easat-3717	25	18	a	a	DET
easat-3717	25	19	significant	significant	ADJ
easat-3717	25	20	portion	portion	NOUN
easat-3717	25	21	of	of	ADP
easat-3717	25	22	the	the	DET
easat-3717	25	23	lte	lte	PROPN
easat-3717	25	24	core	core	PROPN
easat-3717	25	25	network	network	NOUN
easat-3717	25	26	is	be	AUX
easat-3717	25	27	repurposed	repurpose	VERB
easat-3717	25	28	to	to	PART
easat-3717	25	29	implement	implement	VERB
easat-3717	25	30	voice	voice	NOUN
easat-3717	25	31	services	service	NOUN
easat-3717	25	32	like	like	ADP
easat-3717	25	33	voice	voice	NOUN
easat-3717	25	34	over	over	ADP
easat-3717	25	35	lte	lte	PROPN
easat-3717	25	36	(	(	PUNCT
easat-3717	25	37	volte	volte	PROPN
easat-3717	25	38	)	)	PUNCT
easat-3717	26	1	[	[	X
easat-3717	26	2	8	8	NUM
easat-3717	26	3	]	]	PUNCT
easat-3717	26	4	.	.	PUNCT
easat-3717	27	1	the	the	DET
easat-3717	27	2	widespread	widespread	ADJ
easat-3717	27	3	adoption	adoption	NOUN
easat-3717	27	4	of	of	ADP
easat-3717	27	5	lte	lte	PROPN
easat-3717	27	6	has	have	AUX
easat-3717	27	7	spurred	spur	VERB
easat-3717	27	8	numerous	numerous	ADJ
easat-3717	27	9	studies	study	NOUN
easat-3717	27	10	exploring	explore	VERB
easat-3717	27	11	quality	quality	NOUN
easat-3717	27	12	of	of	ADP
easat-3717	27	13	service	service	NOUN
easat-3717	27	14	(	(	PUNCT
easat-3717	27	15	qos	qos	PROPN
easat-3717	27	16	)	)	PUNCT
easat-3717	27	17	and	and	CCONJ
easat-3717	27	18	quality	quality	NOUN
easat-3717	27	19	of	of	ADP
easat-3717	27	20	experience	experience	NOUN
easat-3717	27	21	(	(	PUNCT
easat-3717	27	22	qoe	qoe	NOUN
easat-3717	27	23	)	)	PUNCT
easat-3717	27	24	metrics	metric	NOUN
easat-3717	27	25	,	,	PUNCT
easat-3717	27	26	covering	cover	VERB
easat-3717	27	27	aspects	aspect	NOUN
easat-3717	27	28	such	such	ADJ
easat-3717	27	29	as	as	ADP
easat-3717	27	30	deployment	deployment	ADJ
easat-3717	27	31	strategies	strategy	NOUN
easat-3717	27	32	,	,	PUNCT
easat-3717	27	33	resource	resource	NOUN
easat-3717	27	34	allocation	allocation	NOUN
easat-3717	27	35	,	,	PUNCT
easat-3717	27	36	probabilistic	probabilistic	ADJ
easat-3717	27	37	models	model	NOUN
easat-3717	27	38	,	,	PUNCT
easat-3717	27	39	and	and	CCONJ
easat-3717	27	40	coexistence	coexistence	NOUN
easat-3717	27	41	with	with	ADP
easat-3717	27	42	other	other	ADJ
easat-3717	27	43	technologies	technology	NOUN
easat-3717	27	44	.	.	PUNCT
easat-3717	28	1	however	however	ADV
easat-3717	28	2	,	,	PUNCT
easat-3717	28	3	our	our	PRON
easat-3717	28	4	primary	primary	ADJ
easat-3717	28	5	contribution	contribution	NOUN
easat-3717	28	6	lies	lie	VERB
easat-3717	28	7	in	in	ADP
easat-3717	28	8	the	the	DET
easat-3717	28	9	multivariate	multivariate	NOUN
easat-3717	28	10	time	time	NOUN
easat-3717	28	11	series	series	PROPN
easat-3717	28	12	characterization	characterization	NOUN
easat-3717	28	13	of	of	ADP
easat-3717	28	14	the	the	DET
easat-3717	28	15	dynamic	dynamic	ADJ
easat-3717	28	16	(	(	PUNCT
easat-3717	28	17	time	time	NOUN
easat-3717	28	18	-	-	PUNCT
easat-3717	28	19	varying	vary	VERB
easat-3717	28	20	)	)	PUNCT
easat-3717	28	21	behavior	behavior	NOUN
easat-3717	28	22	of	of	ADP
easat-3717	28	23	crucial	crucial	ADJ
easat-3717	28	24	voip	voip	NOUN
easat-3717	28	25	metrics	metric	NOUN
easat-3717	28	26	,	,	PUNCT
easat-3717	28	27	elucidating	elucidate	VERB
easat-3717	28	28	their	their	PRON
easat-3717	28	29	mutual	mutual	ADJ
easat-3717	28	30	influence	influence	NOUN
easat-3717	28	31	[	[	X
easat-3717	28	32	9	9	NUM
easat-3717	28	33	]	]	PUNCT
easat-3717	28	34	.	.	PUNCT
easat-3717	29	1	multivariate	multivariate	NOUN
easat-3717	29	2	time	time	PROPN
easat-3717	29	3	series	series	PROPN
easat-3717	29	4	analysis	analysis	NOUN
easat-3717	29	5	allows	allow	VERB
easat-3717	29	6	for	for	ADP
easat-3717	29	7	a	a	DET
easat-3717	29	8	holistic	holistic	ADJ
easat-3717	29	9	exploration	exploration	NOUN
easat-3717	29	10	of	of	ADP
easat-3717	29	11	the	the	DET
easat-3717	29	12	intricate	intricate	ADJ
easat-3717	29	13	dynamics	dynamic	NOUN
easat-3717	29	14	inherent	inherent	ADJ
easat-3717	29	15	in	in	ADP
easat-3717	29	16	voip	voip	NOUN
easat-3717	29	17	traffic	traffic	NOUN
easat-3717	29	18	within	within	ADP
easat-3717	29	19	real	real	ADJ
easat-3717	29	20	mobile	mobile	ADJ
easat-3717	29	21	networks	network	NOUN
easat-3717	29	22	.	.	PUNCT
easat-3717	30	1	unlike	unlike	ADP
easat-3717	30	2	univariate	univariate	ADJ
easat-3717	30	3	analysis	analysis	NOUN
easat-3717	30	4	,	,	PUNCT
easat-3717	30	5	which	which	PRON
easat-3717	30	6	focuses	focus	VERB
easat-3717	30	7	on	on	ADP
easat-3717	30	8	a	a	DET
easat-3717	30	9	single	single	ADJ
easat-3717	30	10	variable	variable	NOUN
easat-3717	30	11	,	,	PUNCT
easat-3717	30	12	the	the	DET
easat-3717	30	13	multivariate	multivariate	NOUN
easat-3717	30	14	approach	approach	NOUN
easat-3717	30	15	considers	consider	VERB
easat-3717	30	16	multiple	multiple	ADJ
easat-3717	30	17	interrelated	interrelated	ADJ
easat-3717	30	18	variables	variable	NOUN
easat-3717	30	19	simultaneously	simultaneously	ADV
easat-3717	30	20	[	[	X
easat-3717	30	21	10	10	NUM
easat-3717	30	22	]	]	PUNCT
easat-3717	30	23	.	.	PUNCT
easat-3717	31	1	this	this	PRON
easat-3717	31	2	includes	include	VERB
easat-3717	31	3	parameters	parameter	NOUN
easat-3717	31	4	such	such	ADJ
easat-3717	31	5	as	as	ADP
easat-3717	31	6	network	network	NOUN
easat-3717	31	7	latency	latency	NOUN
easat-3717	31	8	,	,	PUNCT
easat-3717	31	9	jitter	jitter	NOUN
easat-3717	31	10	,	,	PUNCT
easat-3717	31	11	packetloss	packetloss	NOUN
easat-3717	31	12	,	,	PUNCT
easat-3717	31	13	andotherrelevantmetricsthatcollectivelyinfluencetheqosexperiencedbyvoipuser	andotherrelevantmetricsthatcollectivelyinfluencetheqosexperiencedbyvoipuser	PROPN
easat-3717	31	14	s.	s.	PROPN
easat-3717	31	15	through	through	ADP
easat-3717	31	16	the	the	DET
easat-3717	31	17	utilization	utilization	NOUN
easat-3717	31	18	of	of	ADP
easat-3717	31	19	advanced	advanced	ADJ
easat-3717	31	20	statistical	statistical	ADJ
easat-3717	31	21	and	and	CCONJ
easat-3717	31	22	machine	machine	NOUN
easat-3717	31	23	learning	learn	VERB
easat-3717	31	24	techniques	technique	NOUN
easat-3717	31	25	within	within	ADP
easat-3717	31	26	the	the	DET
easat-3717	31	27	multivariate	multivariate	NOUN
easat-3717	31	28	time	time	NOUN
easat-3717	31	29	series	series	PROPN
easat-3717	31	30	framework	framework	NOUN
easat-3717	31	31	,	,	PUNCT
easat-3717	31	32	itbecomespossibletocapturethecomplexrelationshipsanddependenciesamongthesevariables	itbecomespossibletocapturethecomplexrelationshipsanddependenciesamongthesevariable	VERB
easat-3717	32	1	[	[	X
easat-3717	32	2	11][12	11][12	PROPN
easat-3717	32	3	]	]	X
easat-3717	32	4	.	.	PUNCT
easat-3717	33	1	this	this	DET
easat-3717	33	2	comprehensive	comprehensive	ADJ
easat-3717	33	3	understanding	understanding	NOUN
easat-3717	33	4	is	be	AUX
easat-3717	33	5	vital	vital	ADJ
easat-3717	33	6	for	for	ADP
easat-3717	33	7	constructing	construct	VERB
easat-3717	33	8	accurate	accurate	ADJ
easat-3717	33	9	predictive	predictive	ADJ
easat-3717	33	10	models	model	NOUN
easat-3717	33	11	that	that	PRON
easat-3717	33	12	can	can	AUX
easat-3717	33	13	forecast	forecast	VERB
easat-3717	33	14	future	future	ADJ
easat-3717	33	15	trends	trend	NOUN
easat-3717	33	16	in	in	ADP
easat-3717	33	17	voip	voip	NOUN
easat-3717	33	18	traffic	traffic	NOUN
easat-3717	33	19	and	and	CCONJ
easat-3717	33	20	,	,	PUNCT
easat-3717	33	21	consequently	consequently	ADV
easat-3717	33	22	,	,	PUNCT
easat-3717	33	23	anticipate	anticipate	VERB
easat-3717	33	24	changes	change	NOUN
easat-3717	33	25	in	in	ADP
easat-3717	33	26	qos	qos	PROPN
easat-3717	33	27	systems[13	systems[13	NOUN
easat-3717	33	28	]	]	PUNCT
easat-3717	33	29	.	.	PUNCT
easat-3717	34	1	in	in	ADP
easat-3717	34	2	section	section	PROPN
easat-3717	34	3	iii	iii	PROPN
easat-3717	34	4	,	,	PUNCT
easat-3717	34	5	we	we	PRON
easat-3717	34	6	delve	delve	VERB
easat-3717	34	7	into	into	ADP
easat-3717	34	8	background	background	NOUN
easat-3717	34	9	information	information	NOUN
easat-3717	34	10	,	,	PUNCT
easat-3717	34	11	with	with	ADP
easat-3717	34	12	a	a	DET
easat-3717	34	13	specific	specific	ADJ
easat-3717	34	14	emphasis	emphasis	NOUN
easat-3717	34	15	on	on	ADP
easat-3717	34	16	current	current	ADJ
easat-3717	34	17	methodologies	methodology	NOUN
easat-3717	34	18	,	,	PUNCT
easat-3717	34	19	including	include	VERB
easat-3717	34	20	discussions	discussion	NOUN
easat-3717	34	21	on	on	ADP
easat-3717	34	22	cnn	cnn	PROPN
easat-3717	34	23	,	,	PUNCT
easat-3717	34	24	gru	gru	PROPN
easat-3717	34	25	,	,	PUNCT
easat-3717	34	26	lstm	lstm	ADJ
easat-3717	34	27	,	,	PUNCT
easat-3717	34	28	and	and	CCONJ
easat-3717	34	29	random	random	ADJ
easat-3717	34	30	forest	forest	NOUN
easat-3717	34	31	.	.	PUNCT
easat-3717	35	1	section	section	NOUN
easat-3717	35	2	iv	iv	NUM
easat-3717	35	3	is	be	AUX
easat-3717	35	4	dedicated	dedicate	VERB
easat-3717	35	5	to	to	ADP
easat-3717	35	6	comprehensive	comprehensive	ADJ
easat-3717	35	7	evaluations	evaluation	NOUN
easat-3717	35	8	and	and	CCONJ
easat-3717	35	9	comparisons	comparison	NOUN
easat-3717	35	10	of	of	ADP
easat-3717	35	11	forecasting	forecasting	NOUN
easat-3717	35	12	performances	performance	NOUN
easat-3717	35	13	.	.	PUNCT
easat-3717	36	1	lastly	lastly	ADV
easat-3717	36	2	,	,	PUNCT
easat-3717	36	3	section	section	NOUN
easat-3717	36	4	v	v	NUM
easat-3717	36	5	functions	function	NOUN
easat-3717	36	6	as	as	ADP
easat-3717	36	7	the	the	DET
easat-3717	36	8	concluding	concluding	NOUN
easat-3717	36	9	segment	segment	NOUN
easat-3717	36	10	,	,	PUNCT
easat-3717	36	11	presenting	present	VERB
easat-3717	36	12	a	a	DET
easat-3717	36	13	summary	summary	NOUN
easat-3717	36	14	of	of	ADP
easat-3717	36	15	findings	finding	NOUN
easat-3717	36	16	and	and	CCONJ
easat-3717	36	17	offering	offer	VERB
easat-3717	36	18	insights	insight	NOUN
easat-3717	36	19	into	into	ADP
easat-3717	36	20	potential	potential	ADJ
easat-3717	36	21	avenues	avenue	NOUN
easat-3717	36	22	for	for	ADP
easat-3717	36	23	future	future	ADJ
easat-3717	36	24	research	research	NOUN
easat-3717	36	25	in	in	ADP
easat-3717	36	26	this	this	DET
easat-3717	36	27	domain	domain	NOUN
easat-3717	36	28	.	.	PUNCT
easat-3717	37	1	2	2	X
easat-3717	37	2	.	.	X
easat-3717	37	3	related	relate	VERB
easat-3717	37	4	work	work	NOUN
easat-3717	37	5	several	several	ADJ
easat-3717	37	6	researchers	researcher	NOUN
easat-3717	37	7	have	have	AUX
easat-3717	37	8	investigated	investigate	VERB
easat-3717	37	9	the	the	DET
easat-3717	37	10	forecasting	forecasting	NOUN
easat-3717	37	11	of	of	ADP
easat-3717	37	12	wireless	wireless	ADJ
easat-3717	37	13	traffic	traffic	NOUN
easat-3717	37	14	usage	usage	NOUN
easat-3717	37	15	through	through	ADP
easat-3717	37	16	a	a	DET
easat-3717	37	17	variety	variety	NOUN
easat-3717	37	18	of	of	ADP
easat-3717	37	19	methods	method	NOUN
easat-3717	37	20	and	and	CCONJ
easat-3717	37	21	approaches	approach	NOUN
easat-3717	37	22	,	,	PUNCT
easat-3717	37	23	elucidating	elucidate	VERB
easat-3717	37	24	diverse	diverse	ADJ
easat-3717	37	25	techniques	technique	NOUN
easat-3717	37	26	.	.	PUNCT
easat-3717	38	1	the	the	DET
easat-3717	38	2	following	follow	VERB
easat-3717	38	3	outlines	outline	VERB
easat-3717	38	4	some	some	PRON
easat-3717	38	5	of	of	ADP
easat-3717	38	6	these	these	DET
easat-3717	38	7	methodologies	methodology	NOUN
easat-3717	38	8	.	.	PUNCT
easat-3717	39	1	[	[	X
easat-3717	39	2	14]addressedissuesinmultivariatetimeseriesgenerativemodellingbypresentingauniquetechnique	14]addressedissuesinmultivariatetimeseriesgenerativemodellingbypresentingauniquetechnique	NUM
easat-3717	39	3	that	that	PRON
easat-3717	39	4	integrates	integrate	VERB
easat-3717	39	5	state	state	NOUN
easat-3717	39	6	-	-	PUNCT
easat-3717	39	7	space	space	NOUN
easat-3717	39	8	models	model	NOUN
easat-3717	39	9	(	(	PUNCT
easat-3717	39	10	ssms	ssm	NOUN
easat-3717	39	11	)	)	PUNCT
easat-3717	39	12	with	with	ADP
easat-3717	39	13	transformer	transformer	NOUN
easat-3717	39	14	architectures	architecture	NOUN
easat-3717	39	15	.	.	PUNCT
easat-3717	40	1	this	this	DET
easat-3717	40	2	technique	technique	NOUN
easat-3717	40	3	,	,	PUNCT
easat-3717	40	4	unlike	unlike	ADP
easat-3717	40	5	previous	previous	ADJ
easat-3717	40	6	ssms	ssm	NOUN
easat-3717	40	7	,	,	PUNCT
easat-3717	40	8	uses	use	VERB
easat-3717	40	9	attention	attention	NOUN
easat-3717	40	10	processes	process	NOUN
easat-3717	40	11	to	to	PART
easat-3717	40	12	capture	capture	VERB
easat-3717	40	13	complicated	complicated	ADJ
easat-3717	40	14	non	non	ADJ
easat-3717	40	15	-	-	ADJ
easat-3717	40	16	markovian	markovian	ADJ
easat-3717	40	17	dynamics	dynamic	NOUN
easat-3717	40	18	,	,	PUNCT
easat-3717	40	19	avoiding	avoid	VERB
easat-3717	40	20	the	the	DET
easat-3717	40	21	requirement	requirement	NOUN
easat-3717	40	22	forre	forre	NOUN
easat-3717	40	23	currentneuralnetworks.theexperimentalfindingsrevealedthattheyoutperformbaselinesinavarietyoftasks	currentneuralnetworks.theexperimentalfindingsrevealedthattheyoutperformbaselinesinavarietyoftask	NOUN
easat-3717	40	24	and	and	CCONJ
easat-3717	40	25	datasets	dataset	NOUN
easat-3717	40	26	.	.	PUNCT
easat-3717	41	1	[	[	X
easat-3717	41	2	15]tackled	15]tackled	NUM
easat-3717	41	3	forecasting	forecasting	NOUN
easat-3717	41	4	using	use	VERB
easat-3717	41	5	multivariate	multivariate	NOUN
easat-3717	41	6	time	time	NOUN
easat-3717	41	7	series	series	PROPN
easat-3717	41	8	issues	issue	NOUN
easat-3717	41	9	by	by	ADP
easat-3717	41	10	convolutional	convolutional	ADJ
easat-3717	41	11	network	network	NOUN
easat-3717	41	12	with	with	ADP
easat-3717	41	13	spatial	spatial	ADJ
easat-3717	41	14	and	and	CCONJ
easat-3717	41	15	temporal	temporal	ADJ
easat-3717	41	16	components	component	NOUN
easat-3717	41	17	(	(	PUNCT
easat-3717	41	18	stctn	stctn	PROPN
easat-3717	41	19	)	)	PUNCT
easat-3717	41	20	is	be	AUX
easat-3717	41	21	a	a	DET
easat-3717	41	22	novel	novel	ADJ
easat-3717	41	23	model	model	NOUN
easat-3717	41	24	based	base	VERB
easat-3717	41	25	on	on	ADP
easat-3717	41	26	the	the	DET
easat-3717	41	27	transformer	transformer	NOUN
easat-3717	41	28	library	library	NOUN
easat-3717	41	29	.	.	PUNCT
easat-3717	42	1	the	the	DET
easat-3717	42	2	model	model	NOUN
easat-3717	42	3	’s	’s	PART
easat-3717	42	4	use	use	NOUN
easat-3717	42	5	of	of	ADP
easat-3717	42	6	continuous	continuous	ADJ
easat-3717	42	7	positional	positional	ADJ
easat-3717	42	8	encoding	encoding	NOUN
easat-3717	42	9	improves	improve	VERB
easat-3717	42	10	predictions	prediction	NOUN
easat-3717	42	11	muchfurther	muchfurther	ADJ
easat-3717	42	12	.	.	PUNCT
easat-3717	43	1	[	[	X
easat-3717	43	2	3]predictingthebehavioroftrafficinrealtimeinmobilitysituationsmightassistoperators	3]predictingthebehavioroftrafficinrealtimeinmobilitysituationsmightassistoperators	NUM
easat-3717	43	3	inproperlyplanningtheirnetworkinfrastructureandoptimizingresourceallocation.asaresult	inproperlyplanningtheirnetworkinfrastructureandoptimizingresourceallocation.asaresult	PROPN
easat-3717	43	4	,	,	PUNCT
easat-3717	43	5	theauthorsad	theauthorsad	PROPN
easat-3717	43	6	vocatedinthispaperthatapredictivestudyofcriticalqos	vocatedinthispaperthatapredictivestudyofcriticalqos	ADJ
easat-3717	43	7	/	/	SYM
easat-3717	43	8	qoecharacteristicsofvoiptrafficthatisinarealmobi	qoecharacteristicsofvoiptrafficthatisinarealmobi	PROPN
easat-3717	43	9	le	le	X
easat-3717	43	10	context	context	PROPN
easat-3717	43	11	be	be	AUX
easat-3717	43	12	performed	perform	VERB
easat-3717	43	13	.	.	PUNCT
easat-3717	44	1	[	[	X
easat-3717	44	2	16	16	NUM
easat-3717	44	3	]	]	PUNCT
easat-3717	44	4	examined	examine	VERB
easat-3717	44	5	6.2	6.2	NUM
easat-3717	44	6	million	million	NUM
easat-3717	44	7	real	real	ADJ
easat-3717	44	8	network	network	NOUN
easat-3717	44	9	time	time	NOUN
easat-3717	44	10	series	series	NOUN
easat-3717	44	11	of	of	ADP
easat-3717	44	12	long	long	ADJ
easat-3717	44	13	-	-	PUNCT
easat-3717	44	14	term	term	NOUN
easat-3717	44	15	evolution	evolution	NOUN
easat-3717	44	16	(	(	PUNCT
easat-3717	44	17	lte	lte	PROPN
easat-3717	44	18	)	)	PUNCT
easat-3717	44	19	data	datum	NOUN
easat-3717	44	20	traffic	traffic	NOUN
easat-3717	44	21	as	as	ADV
easat-3717	44	22	well	well	ADV
easat-3717	44	23	as	as	ADP
easat-3717	44	24	associated	associated	ADJ
easat-3717	44	25	parameters	parameter	NOUN
easat-3717	44	26	,	,	PUNCT
easat-3717	44	27	such	such	ADJ
easat-3717	44	28	as	as	ADP
easat-3717	44	29	enodeb	enodeb	ADV
easat-3717	44	30	-	-	ADJ
easat-3717	44	31	wise	wise	ADJ
easat-3717	44	32	physical	physical	ADJ
easat-3717	44	33	resource	resource	NOUN
easat-3717	44	34	block	block	NOUN
easat-3717	44	35	(	(	PUNCT
easat-3717	44	36	prb	prb	NOUN
easat-3717	44	37	)	)	PUNCT
easat-3717	44	38	utilization	utilization	NOUN
easat-3717	44	39	,	,	PUNCT
easat-3717	44	40	with	with	SCONJ
easat-3717	44	41	the	the	DET
easat-3717	44	42	goal	goal	NOUN
easat-3717	44	43	ofdevelopingatrafficforecastingmodelusingmultivariatefeatureinputsalongwithdeeplearningalgorithms	ofdevelopingatrafficforecastingmodelusingmultivariatefeatureinputsalongwithdeeplearningalgorithm	VERB
easat-3717	44	44	.	.	PUNCT
easat-3717	45	1	[	[	X
easat-3717	45	2	17]an	17]an	NUM
easat-3717	45	3	end	end	VERB
easat-3717	45	4	-	-	PUNCT
easat-3717	45	5	to	to	ADP
easat-3717	45	6	-	-	PUNCT
easat-3717	45	7	end	end	NOUN
easat-3717	45	8	generative	generative	ADJ
easat-3717	45	9	model	model	NOUN
easat-3717	45	10	known	know	VERB
easat-3717	45	11	as	as	ADP
easat-3717	45	12	e2gan	e2gan	PROPN
easat-3717	45	13	was	be	AUX
easat-3717	45	14	suggested	suggest	VERB
easat-3717	45	15	for	for	ADP
easat-3717	45	16	estimating	estimate	VERB
easat-3717	45	17	missing	miss	VERB
easat-3717	45	18	values	value	NOUN
easat-3717	45	19	during	during	ADP
easat-3717	45	20	multivariate	multivariate	NOUN
easat-3717	45	21	time	time	NOUN
easat-3717	45	22	series	series	NOUN
easat-3717	45	23	.	.	PUNCT
easat-3717	46	1	missing	miss	VERB
easat-3717	46	2	values	value	NOUN
easat-3717	46	3	,	,	PUNCT
easat-3717	46	4	which	which	PRON
easat-3717	46	5	occur	occur	VERB
easat-3717	46	6	in	in	ADP
easat-3717	46	7	the	the	DET
easat-3717	46	8	majority	majority	NOUN
easat-3717	46	9	of	of	ADP
easat-3717	46	10	multivariate	multivariate	NOUN
easat-3717	46	11	time	time	NOUN
easat-3717	46	12	series	series	PROPN
easat-3717	46	13	,	,	PUNCT
easat-3717	46	14	7880	7880	NUM
easat-3717	46	15	edelweiss	edelweiss	PROPN
easat-3717	46	16	applied	apply	VERB
easat-3717	46	17	science	science	NOUN
easat-3717	46	18	and	and	CCONJ
easat-3717	46	19	technology	technology	NOUN
easat-3717	46	20	issn	issn	PROPN
easat-3717	46	21	:	:	PUNCT
easat-3717	46	22	2576	2576	NUM
easat-3717	46	23	-	-	SYM
easat-3717	46	24	8484	8484	NUM
easat-3717	46	25	vol	vol	NOUN
easat-3717	46	26	.	.	PROPN
easat-3717	46	27	8	8	NUM
easat-3717	46	28	,	,	PUNCT
easat-3717	46	29	no	no	INTJ
easat-3717	46	30	.	.	NOUN
easat-3717	46	31	6	6	NUM
easat-3717	46	32	:	:	PUNCT
easat-3717	46	33	7878	7878	NUM
easat-3717	46	34	-	-	SYM
easat-3717	46	35	7901	7901	NUM
easat-3717	46	36	,	,	PUNCT
easat-3717	46	37	2024	2024	NUM
easat-3717	46	38	doi	doi	NOUN
easat-3717	46	39	:	:	PUNCT
easat-3717	46	40	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	46	41	©	©	PROPN
easat-3717	46	42	2024	2024	NUM
easat-3717	46	43	by	by	ADP
easat-3717	46	44	the	the	DET
easat-3717	46	45	authors	author	NOUN
easat-3717	46	46	;	;	PUNCT
easat-3717	46	47	licensee	licensee	NOUN
easat-3717	46	48	learning	learning	NOUN
easat-3717	46	49	gate	gate	VERB
easat-3717	46	50	obstructfurtheranalysisofmultivariatetimeseriesinformation.existingimputationmethodsincludedeletio	obstructfurtheranalysisofmultivariatetimeseriesinformation.existingimputationmethodsincludedeletio	PROPN
easat-3717	46	51	n	n	CCONJ
easat-3717	46	52	,	,	PUNCT
easat-3717	46	53	statisticalattribution	statisticalattribution	NOUN
easat-3717	46	54	,	,	PUNCT
easat-3717	46	55	machinelearning	machinelearning	NOUN
easat-3717	46	56	-	-	PUNCT
easat-3717	46	57	basedimputation	basedimputation	NOUN
easat-3717	46	58	,	,	PUNCT
easat-3717	46	59	andgenerativeimputation.[18]multivariable	andgenerativeimputation.[18]multivariable	ADJ
easat-3717	46	60	time	time	NOUN
easat-3717	46	61	series	series	NOUN
easat-3717	46	62	prediction	prediction	NOUN
easat-3717	46	63	is	be	AUX
easat-3717	46	64	built	build	VERB
easat-3717	46	65	as	as	ADP
easat-3717	46	66	a	a	DET
easat-3717	46	67	sequence	sequence	NOUN
easat-3717	46	68	to	to	ADP
easat-3717	46	69	sequence	sequence	NOUN
easat-3717	46	70	scenarios	scenario	NOUN
easat-3717	46	71	for	for	ADP
easat-3717	46	72	non	non	ADJ
easat-3717	46	73	-	-	ADJ
easat-3717	46	74	periodic	periodic	ADJ
easat-3717	46	75	datasets	dataset	NOUN
easat-3717	46	76	in	in	ADP
easat-3717	46	77	this	this	DET
easat-3717	46	78	paradigm	paradigm	NOUN
easat-3717	46	79	.	.	PUNCT
easat-3717	47	1	it	it	PRON
easat-3717	47	2	is	be	AUX
easat-3717	47	3	suggested	suggest	VERB
easat-3717	47	4	to	to	PART
easat-3717	47	5	use	use	VERB
easat-3717	47	6	multichannel	multichannel	ADJ
easat-3717	47	7	residual	residual	ADJ
easat-3717	47	8	blocks	block	NOUN
easat-3717	47	9	together	together	ADV
easat-3717	47	10	with	with	ADP
easat-3717	47	11	an	an	DET
easat-3717	47	12	asymmetric	asymmetric	ADJ
easat-3717	47	13	structure	structure	NOUN
easat-3717	47	14	based	base	VERB
easat-3717	47	15	on	on	ADP
easat-3717	47	16	a	a	DET
easat-3717	47	17	deep	deep	ADJ
easat-3717	47	18	convolution	convolution	NOUN
easat-3717	47	19	neuralnetwork	neuralnetwork	NOUN
easat-3717	47	20	.	.	PUNCT
easat-3717	48	1	[	[	X
easat-3717	48	2	19]proposed	19]propose	VERB
easat-3717	48	3	a	a	DET
easat-3717	48	4	novel	novel	ADJ
easat-3717	48	5	approach	approach	NOUN
easat-3717	48	6	for	for	ADP
easat-3717	48	7	predicting	predict	VERB
easat-3717	48	8	both	both	CCONJ
easat-3717	48	9	univariate	univariate	ADJ
easat-3717	48	10	as	as	ADV
easat-3717	48	11	well	well	ADV
easat-3717	48	12	as	as	ADP
easat-3717	48	13	multivariate	multivariate	NOUN
easat-3717	48	14	time	time	NOUN
easat-3717	48	15	series	series	PROPN
easat-3717	48	16	using	use	VERB
easat-3717	48	17	a	a	DET
easat-3717	48	18	mix	mix	NOUN
easat-3717	48	19	of	of	ADP
easat-3717	48	20	clustering	clustering	NOUN
easat-3717	48	21	,	,	PUNCT
easat-3717	48	22	classification	classification	NOUN
easat-3717	48	23	,	,	PUNCT
easat-3717	48	24	and	and	CCONJ
easat-3717	48	25	forecasting	forecasting	NOUN
easat-3717	48	26	techniques	technique	NOUN
easat-3717	48	27	.	.	PUNCT
easat-3717	49	1	the	the	DET
easat-3717	49	2	proposed	propose	VERB
easat-3717	49	3	algorithm’sprimary	algorithm’sprimary	ADJ
easat-3717	49	4	purpose	purpose	NOUN
easat-3717	49	5	is	be	AUX
easat-3717	49	6	to	to	PART
easat-3717	49	7	first	first	ADV
easat-3717	49	8	use	use	VERB
easat-3717	49	9	a	a	DET
easat-3717	49	10	clustering	clustering	ADJ
easat-3717	49	11	technique	technique	NOUN
easat-3717	49	12	to	to	ADP
easat-3717	49	13	group	group	NOUN
easat-3717	49	14	frames	frame	NOUN
easat-3717	49	15	of	of	ADP
easat-3717	49	16	time	time	NOUN
easat-3717	49	17	series	series	PROPN
easat-3717	49	18	data	datum	NOUN
easat-3717	49	19	with	with	ADP
easat-3717	49	20	similarpatterns	similarpattern	NOUN
easat-3717	49	21	.	.	PUNCT
easat-3717	50	1	2.1	2.1	NUM
easat-3717	50	2	.	.	PUNCT
easat-3717	50	3	research	research	NOUN
easat-3717	50	4	gap	gap	NOUN
easat-3717	50	5	the	the	DET
easat-3717	50	6	existing	exist	VERB
easat-3717	50	7	literature	literature	NOUN
easat-3717	50	8	on	on	ADP
easat-3717	50	9	wireless	wireless	ADJ
easat-3717	50	10	traffic	traffic	NOUN
easat-3717	50	11	forecasting	forecasting	NOUN
easat-3717	50	12	reveals	reveal	VERB
easat-3717	50	13	a	a	DET
easat-3717	50	14	gap	gap	NOUN
easat-3717	50	15	in	in	ADP
easat-3717	50	16	improving	improve	VERB
easat-3717	50	17	accuracy	accuracy	NOUN
easat-3717	50	18	and	and	CCONJ
easat-3717	50	19	efficiency	efficiency	NOUN
easat-3717	50	20	in	in	ADP
easat-3717	50	21	predicting	predict	VERB
easat-3717	50	22	network	network	NOUN
easat-3717	50	23	performance	performance	NOUN
easat-3717	50	24	,	,	PUNCT
easat-3717	50	25	especially	especially	ADV
easat-3717	50	26	in	in	ADP
easat-3717	50	27	mobile	mobile	ADJ
easat-3717	50	28	networks	network	NOUN
easat-3717	50	29	.	.	PUNCT
easat-3717	51	1	this	this	DET
easat-3717	51	2	research	research	NOUN
easat-3717	51	3	aims	aim	VERB
easat-3717	51	4	to	to	PART
easat-3717	51	5	address	address	VERB
easat-3717	51	6	this	this	DET
easat-3717	51	7	gap	gap	NOUN
easat-3717	51	8	by	by	ADP
easat-3717	51	9	introducing	introduce	VERB
easat-3717	51	10	a	a	DET
easat-3717	51	11	novel	novel	ADJ
easat-3717	51	12	approach	approach	NOUN
easat-3717	51	13	that	that	PRON
easat-3717	51	14	combines	combine	VERB
easat-3717	51	15	modified	modify	VERB
easat-3717	51	16	walrus	walrus	NOUN
easat-3717	51	17	optimization	optimization	NOUN
easat-3717	51	18	(	(	PUNCT
easat-3717	51	19	mwo	mwo	NOUN
easat-3717	51	20	)	)	PUNCT
easat-3717	51	21	with	with	ADP
easat-3717	51	22	multivariate	multivariate	NOUN
easat-3717	51	23	forecasting	forecasting	NOUN
easat-3717	51	24	techniques	technique	NOUN
easat-3717	51	25	.	.	PUNCT
easat-3717	52	1	this	this	DET
easat-3717	52	2	approach	approach	NOUN
easat-3717	52	3	aims	aim	VERB
easat-3717	52	4	to	to	PART
easat-3717	52	5	optimize	optimize	VERB
easat-3717	52	6	the	the	DET
easat-3717	52	7	prediction	prediction	NOUN
easat-3717	52	8	of	of	ADP
easat-3717	52	9	quality	quality	NOUN
easat-3717	52	10	of	of	ADP
easat-3717	52	11	service	service	NOUN
easat-3717	52	12	(	(	PUNCT
easat-3717	52	13	qos	qos	NOUN
easat-3717	52	14	)	)	PUNCT
easat-3717	52	15	metrics	metric	NOUN
easat-3717	52	16	,	,	PUNCT
easat-3717	52	17	such	such	ADJ
easat-3717	52	18	as	as	ADP
easat-3717	52	19	network	network	NOUN
easat-3717	52	20	throughput	throughput	NOUN
easat-3717	52	21	,	,	PUNCT
easat-3717	52	22	latency	latency	NOUN
easat-3717	52	23	,	,	PUNCT
easat-3717	52	24	and	and	CCONJ
easat-3717	52	25	packet	packet	NOUN
easat-3717	52	26	loss	loss	NOUN
easat-3717	52	27	,	,	PUNCT
easat-3717	52	28	in	in	ADP
easat-3717	52	29	mobile	mobile	ADJ
easat-3717	52	30	networks	network	NOUN
easat-3717	52	31	.	.	PUNCT
easat-3717	53	1	the	the	DET
easat-3717	53	2	research	research	NOUN
easat-3717	53	3	incorporates	incorporate	VERB
easat-3717	53	4	mwo	mwo	NOUN
easat-3717	53	5	,	,	PUNCT
easat-3717	53	6	a	a	DET
easat-3717	53	7	metaheuristic	metaheuristic	ADJ
easat-3717	53	8	optimization	optimization	NOUN
easat-3717	53	9	algorithm	algorithm	NOUN
easat-3717	53	10	inspired	inspire	VERB
easat-3717	53	11	by	by	ADP
easat-3717	53	12	walrus	walrus	PROPN
easat-3717	53	13	behavior	behavior	PROPN
easat-3717	53	14	,	,	PUNCT
easat-3717	53	15	to	to	PART
easat-3717	53	16	enhance	enhance	VERB
easat-3717	53	17	the	the	DET
easat-3717	53	18	accuracy	accuracy	NOUN
easat-3717	53	19	and	and	CCONJ
easat-3717	53	20	efficiency	efficiency	NOUN
easat-3717	53	21	of	of	ADP
easat-3717	53	22	qos	qos	PROPN
easat-3717	53	23	forecasting	forecasting	NOUN
easat-3717	53	24	.	.	PUNCT
easat-3717	54	1	the	the	DET
easat-3717	54	2	integration	integration	NOUN
easat-3717	54	3	of	of	ADP
easat-3717	54	4	multivariate	multivariate	NOUN
easat-3717	54	5	forecasting	forecasting	NOUN
easat-3717	54	6	techniques	technique	NOUN
easat-3717	54	7	allows	allow	VERB
easat-3717	54	8	for	for	ADP
easat-3717	54	9	the	the	DET
easat-3717	54	10	consideration	consideration	NOUN
easat-3717	54	11	of	of	ADP
easat-3717	54	12	multiple	multiple	ADJ
easat-3717	54	13	input	input	NOUN
easat-3717	54	14	variables	variable	NOUN
easat-3717	54	15	,	,	PUNCT
easat-3717	54	16	such	such	ADJ
easat-3717	54	17	as	as	ADP
easat-3717	54	18	network	network	NOUN
easat-3717	54	19	traffic	traffic	NOUN
easat-3717	54	20	data	datum	NOUN
easat-3717	54	21	,	,	PUNCT
easat-3717	54	22	user	user	NOUN
easat-3717	54	23	mobility	mobility	NOUN
easat-3717	54	24	patterns	pattern	NOUN
easat-3717	54	25	,	,	PUNCT
easat-3717	54	26	and	and	CCONJ
easat-3717	54	27	environmental	environmental	ADJ
easat-3717	54	28	factors	factor	NOUN
easat-3717	54	29	,	,	PUNCT
easat-3717	54	30	in	in	ADP
easat-3717	54	31	predicting	predict	VERB
easat-3717	54	32	qos	qos	NOUN
easat-3717	54	33	metrics	metric	NOUN
easat-3717	54	34	.	.	PUNCT
easat-3717	55	1	this	this	DET
easat-3717	55	2	comprehensive	comprehensive	ADJ
easat-3717	55	3	approach	approach	NOUN
easat-3717	55	4	enables	enable	VERB
easat-3717	55	5	a	a	DET
easat-3717	55	6	more	more	ADV
easat-3717	55	7	holistic	holistic	ADJ
easat-3717	55	8	understanding	understanding	NOUN
easat-3717	55	9	of	of	ADP
easat-3717	55	10	network	network	NOUN
easat-3717	55	11	dynamics	dynamic	NOUN
easat-3717	55	12	and	and	CCONJ
easat-3717	55	13	facilitates	facilitate	VERB
easat-3717	55	14	more	more	ADV
easat-3717	55	15	accurate	accurate	ADJ
easat-3717	55	16	predictions	prediction	NOUN
easat-3717	55	17	of	of	ADP
easat-3717	55	18	qos	qos	PROPN
easat-3717	55	19	performance	performance	NOUN
easat-3717	55	20	in	in	ADP
easat-3717	55	21	real	real	ADJ
easat-3717	55	22	-	-	PUNCT
easat-3717	55	23	time	time	NOUN
easat-3717	55	24	mobile	mobile	ADJ
easat-3717	55	25	network	network	NOUN
easat-3717	55	26	environments	environment	NOUN
easat-3717	55	27	.	.	PUNCT
easat-3717	56	1	the	the	DET
easat-3717	56	2	proposed	propose	VERB
easat-3717	56	3	research	research	NOUN
easat-3717	56	4	contributes	contribute	VERB
easat-3717	56	5	to	to	ADP
easat-3717	56	6	wireless	wireless	ADJ
easat-3717	56	7	traffic	traffic	NOUN
easat-3717	56	8	forecasting	forecasting	NOUN
easat-3717	56	9	by	by	ADP
easat-3717	56	10	introducing	introduce	VERB
easat-3717	56	11	a	a	DET
easat-3717	56	12	novel	novel	ADJ
easat-3717	56	13	methodology	methodology	NOUN
easat-3717	56	14	that	that	PRON
easat-3717	56	15	enhances	enhance	VERB
easat-3717	56	16	the	the	DET
easat-3717	56	17	accuracy	accuracy	NOUN
easat-3717	56	18	and	and	CCONJ
easat-3717	56	19	efficiency	efficiency	NOUN
easat-3717	56	20	of	of	ADP
easat-3717	56	21	qos	qos	NOUN
easat-3717	56	22	predictions	prediction	NOUN
easat-3717	56	23	,	,	PUNCT
easat-3717	56	24	ultimately	ultimately	ADV
easat-3717	56	25	benefiting	benefit	VERB
easat-3717	56	26	network	network	NOUN
easat-3717	56	27	operators	operator	NOUN
easat-3717	56	28	in	in	ADP
easat-3717	56	29	improving	improve	VERB
easat-3717	56	30	network	network	NOUN
easat-3717	56	31	performance	performance	NOUN
easat-3717	56	32	and	and	CCONJ
easat-3717	56	33	user	user	NOUN
easat-3717	56	34	experience	experience	NOUN
easat-3717	56	35	.	.	PUNCT
easat-3717	57	1	3	3	X
easat-3717	57	2	.	.	X
easat-3717	57	3	background	background	NOUN
easat-3717	57	4	3.1	3.1	NUM
easat-3717	57	5	.	.	PUNCT
easat-3717	58	1	ensemble	ensemble	ADJ
easat-3717	58	2	learning	learning	NOUN
easat-3717	58	3	inensemblelearning	inensemblelearning	NOUN
easat-3717	58	4	,	,	PUNCT
easat-3717	58	5	aparticularcomputerintelligenceissueissolvedbysystematicallygeneratingandco	aparticularcomputerintelligenceissueissolvedbysystematicallygeneratingandco	NOUN
easat-3717	58	6	mbining	mbine	VERB
easat-3717	58	7	a	a	DET
easat-3717	58	8	number	number	NOUN
easat-3717	58	9	of	of	ADP
easat-3717	58	10	models	model	NOUN
easat-3717	58	11	,	,	PUNCT
easat-3717	58	12	including	include	VERB
easat-3717	58	13	classifiers	classifier	NOUN
easat-3717	58	14	or	or	CCONJ
easat-3717	58	15	experts	expert	NOUN
easat-3717	58	16	.	.	PUNCT
easat-3717	59	1	to	to	PART
easat-3717	59	2	improve	improve	VERB
easat-3717	59	3	a	a	DET
easat-3717	59	4	model	model	NOUN
easat-3717	59	5	’s	’s	PART
easat-3717	59	6	performance	performance	NOUN
easat-3717	59	7	(	(	PUNCT
easat-3717	59	8	in	in	ADP
easat-3717	59	9	classification	classification	NOUN
easat-3717	59	10	,	,	PUNCT
easat-3717	59	11	prediction	prediction	NOUN
easat-3717	59	12	,	,	PUNCT
easat-3717	59	13	linear	linear	ADJ
easat-3717	59	14	regression	regression	NOUN
easat-3717	59	15	,	,	PUNCT
easat-3717	59	16	etc	etc	X
easat-3717	59	17	.	.	X
easat-3717	59	18	)	)	PUNCT
easat-3717	59	19	or	or	CCONJ
easat-3717	59	20	reduce	reduce	VERB
easat-3717	59	21	the	the	DET
easat-3717	59	22	possibility	possibility	NOUN
easat-3717	59	23	of	of	ADP
easat-3717	59	24	making	make	VERB
easat-3717	59	25	a	a	DET
easat-3717	59	26	poor	poor	ADJ
easat-3717	59	27	model	model	NOUN
easat-3717	59	28	selection	selection	NOUN
easat-3717	59	29	unintentionally	unintentionally	ADV
easat-3717	59	30	,	,	PUNCT
easat-3717	59	31	ensemble	ensemble	ADJ
easat-3717	59	32	learning	learning	NOUN
easat-3717	59	33	is	be	AUX
easat-3717	59	34	often	often	ADV
easat-3717	59	35	used	use	VERB
easat-3717	59	36	.	.	PUNCT
easat-3717	60	1	additionally	additionally	ADV
easat-3717	60	2	,	,	PUNCT
easat-3717	60	3	ensemble	ensemble	ADJ
easat-3717	60	4	learning	learning	NOUN
easat-3717	60	5	is	be	AUX
easat-3717	60	6	used	use	VERB
easat-3717	60	7	to	to	PART
easat-3717	60	8	instill	instill	VERB
easat-3717	60	9	a	a	DET
easat-3717	60	10	degree	degree	NOUN
easat-3717	60	11	of	of	ADP
easat-3717	60	12	trust	trust	NOUN
easat-3717	60	13	in	in	ADP
easat-3717	60	14	the	the	DET
easat-3717	60	15	model	model	NOUN
easat-3717	60	16	’s	’s	PART
easat-3717	60	17	selection	selection	NOUN
easat-3717	60	18	,	,	PUNCT
easat-3717	60	19	chooseoptimal(ornearoptimal)features	chooseoptimal(ornearoptimal)feature	NOUN
easat-3717	60	20	,	,	PUNCT
easat-3717	60	21	fusedata	fusedata	NOUN
easat-3717	60	22	,	,	PUNCT
easat-3717	60	23	learnincrementally	learnincrementally	PROPN
easat-3717	60	24	,	,	PUNCT
easat-3717	60	25	non	non	ADJ
easat-3717	60	26	-	-	NOUN
easat-3717	60	27	stationarity	stationarity	ADJ
easat-3717	60	28	,	,	PUNCT
easat-3717	60	29	andcorrectforerrors	andcorrectforerror	NOUN
easat-3717	60	30	.	.	PUNCT
easat-3717	61	1	improved	improve	VERB
easat-3717	61	2	prediction	prediction	NOUN
easat-3717	61	3	performance	performance	NOUN
easat-3717	61	4	,	,	PUNCT
easat-3717	61	5	including	include	VERB
easat-3717	61	6	such	such	ADJ
easat-3717	61	7	reduced	reduced	ADJ
easat-3717	61	8	regression	regression	NOUN
easat-3717	61	9	error	error	NOUN
easat-3717	61	10	as	as	ADV
easat-3717	61	11	well	well	ADV
easat-3717	61	12	as	as	ADP
easat-3717	61	13	high	high	ADJ
easat-3717	61	14	classification	classification	NOUN
easat-3717	61	15	accuracy	accuracy	NOUN
easat-3717	61	16	,	,	PUNCT
easat-3717	61	17	isachievedviatheapplicationofensemblelearning.bymixingseveralmodels	isachievedviatheapplicationofensemblelearning.bymixingseveralmodels	PROPN
easat-3717	61	18	,	,	PUNCT
easat-3717	61	19	ensemblelearningmay	ensemblelearningmay	PROPN
easat-3717	61	20	boost	boost	VERB
easat-3717	61	21	machine	machine	NOUN
easat-3717	61	22	learning	learning	NOUN
easat-3717	61	23	performance	performance	NOUN
easat-3717	61	24	.	.	PUNCT
easat-3717	62	1	when	when	SCONJ
easat-3717	62	2	compared	compare	VERB
easat-3717	62	3	to	to	ADP
easat-3717	62	4	using	use	VERB
easat-3717	62	5	only	only	ADV
easat-3717	62	6	one	one	NUM
easat-3717	62	7	model	model	NOUN
easat-3717	62	8	,	,	PUNCT
easat-3717	62	9	this	this	DET
easat-3717	62	10	strategy	strategy	NOUN
easat-3717	62	11	yields	yield	VERB
easat-3717	62	12	far	far	ADV
easat-3717	62	13	more	more	ADV
easat-3717	62	14	accurate	accurate	ADJ
easat-3717	62	15	predictions.thecentralconceptistoeducateapanelofexperts(classifiers),whowillthencastafinalvote[20	predictions.thecentralconceptistoeducateapanelofexperts(classifiers),whowillthencastafinalvote[20	NOUN
easat-3717	62	16	]	]	PUNCT
easat-3717	62	17	.	.	PUNCT
easat-3717	63	1	each	each	DET
easat-3717	63	2	model	model	NOUN
easat-3717	63	3	’s	’s	PART
easat-3717	63	4	predictions	prediction	NOUN
easat-3717	63	5	are	be	AUX
easat-3717	63	6	counted	count	VERB
easat-3717	63	7	as	as	ADP
easat-3717	63	8	a	a	DET
easat-3717	63	9	"	"	PUNCT
easat-3717	63	10	vote	vote	NOUN
easat-3717	63	11	"	"	PUNCT
easat-3717	63	12	in	in	ADP
easat-3717	63	13	the	the	DET
easat-3717	63	14	competition	competition	NOUN
easat-3717	63	15	.	.	PUNCT
easat-3717	64	1	the	the	DET
easat-3717	64	2	bulk	bulk	NOUN
easat-3717	64	3	of	of	ADP
easat-3717	64	4	the	the	DET
easat-3717	64	5	models	model	NOUN
easat-3717	64	6	’	'	PUNCT
easat-3717	64	7	predictions	prediction	NOUN
easat-3717	64	8	are	be	AUX
easat-3717	64	9	usedtoformthefinalforecast.forexample	usedtoformthefinalforecast.forexample	ADV
easat-3717	64	10	,	,	PUNCT
easat-3717	64	11	inregressionproblems	inregressionproblem	NOUN
easat-3717	64	12	,	,	PUNCT
easat-3717	64	13	averagingmaybeusedtogeneratepredictio	averagingmaybeusedtogeneratepredictio	NOUN
easat-3717	64	14	ns	n	VERB
easat-3717	64	15	,	,	PUNCT
easat-3717	64	16	andinclassificationissues	andinclassificationissue	NOUN
easat-3717	64	17	,	,	PUNCT
easat-3717	64	18	itcanbeusedtocalculateprobabilities.oneofthesimplestwaystocombinetheresults	itcanbeusedtocalculateprobabilities.oneofthesimplestwaystocombinetheresult	NOUN
easat-3717	64	19	of	of	ADP
easat-3717	64	20	several	several	ADJ
easat-3717	64	21	machine	machine	NOUN
easat-3717	64	22	learning	learning	NOUN
easat-3717	64	23	approaches	approach	NOUN
easat-3717	64	24	is	be	AUX
easat-3717	64	25	via	via	ADP
easat-3717	64	26	the	the	DET
easat-3717	64	27	use	use	NOUN
easat-3717	64	28	of	of	ADP
easat-3717	64	29	votes	vote	NOUN
easat-3717	64	30	.	.	PUNCT
easat-3717	65	1	the	the	DET
easat-3717	65	2	voting	voting	NOUN
easat-3717	65	3	classifier	classifier	NOUN
easat-3717	65	4	encapsulates	encapsulate	VERB
easat-3717	65	5	a	a	DET
easat-3717	65	6	suite	suite	NOUN
easat-3717	65	7	of	of	ADP
easat-3717	65	8	several	several	ADJ
easat-3717	65	9	classifiers	classifier	NOUN
easat-3717	65	10	which	which	PRON
easat-3717	65	11	are	be	AUX
easat-3717	65	12	trained	train	VERB
easat-3717	65	13	as	as	ADV
easat-3717	65	14	well	well	ADV
easat-3717	65	15	as	as	ADP
easat-3717	65	16	assessed	assess	VERB
easat-3717	65	17	in	in	ADP
easat-3717	65	18	parallel	parallel	NOUN
easat-3717	65	19	to	to	PART
easat-3717	65	20	capitalize	capitalize	VERB
easat-3717	65	21	on	on	ADP
easat-3717	65	22	the	the	DET
easat-3717	65	23	strengths	strength	NOUN
easat-3717	65	24	of	of	ADP
easat-3717	65	25	each	each	DET
easat-3717	65	26	method	method	NOUN
easat-3717	65	27	.	.	PUNCT
easat-3717	66	1	the	the	DET
easat-3717	66	2	final	final	ADJ
easat-3717	66	3	result	result	NOUN
easat-3717	66	4	of	of	ADP
easat-3717	66	5	a	a	DET
easat-3717	66	6	prediction	prediction	NOUN
easat-3717	66	7	is	be	AUX
easat-3717	66	8	decided	decide	VERB
easat-3717	66	9	by	by	ADP
easat-3717	66	10	a	a	DET
easat-3717	66	11	vote	vote	NOUN
easat-3717	66	12	made	make	VERB
easat-3717	66	13	by	by	ADP
easat-3717	66	14	one	one	NUM
easat-3717	66	15	of	of	ADP
easat-3717	66	16	twomethods	twomethod	NOUN
easat-3717	66	17	.	.	PUNCT
easat-3717	67	1	hardvoting	hardvoting	NOUN
easat-3717	67	2	/	/	SYM
easat-3717	67	3	majorityvoting	majorityvoting	NOUN
easat-3717	67	4	:	:	PUNCT
easat-3717	67	5	in	in	ADP
easat-3717	67	6	its	its	PRON
easat-3717	67	7	simplest	simple	ADJ
easat-3717	67	8	form	form	NOUN
easat-3717	67	9	,	,	PUNCT
easat-3717	67	10	majority	majority	NOUN
easat-3717	67	11	voting	voting	NOUN
easat-3717	67	12	,	,	PUNCT
easat-3717	67	13	or	or	CCONJ
easat-3717	67	14	"	"	PUNCT
easat-3717	67	15	hard	hard	ADJ
easat-3717	67	16	voting	voting	NOUN
easat-3717	67	17	,	,	PUNCT
easat-3717	67	18	"	"	PUNCT
easat-3717	67	19	is	be	AUX
easat-3717	67	20	the	the	DET
easat-3717	67	21	method	method	NOUN
easat-3717	67	22	most	most	ADV
easat-3717	67	23	often	often	ADV
easat-3717	67	24	used	use	VERB
easat-3717	67	25	.	.	PUNCT
easat-3717	68	1	the	the	DET
easat-3717	68	2	category	category	NOUN
easat-3717	68	3	with	with	ADP
easat-3717	68	4	the	the	DET
easat-3717	68	5	most	most	ADJ
easat-3717	68	6	votes	vote	NOUN
easat-3717	68	7	,	,	PUNCT
easat-3717	68	8	nc	nc	PROPN
easat-3717	68	9	(	(	PUNCT
easat-3717	68	10	yt	yt	PROPN
easat-3717	68	11	)	)	PUNCT
easat-3717	68	12	,	,	PUNCT
easat-3717	68	13	will	will	AUX
easat-3717	68	14	be	be	AUX
easat-3717	68	15	chosen	choose	VERB
easat-3717	68	16	.	.	PUNCT
easat-3717	69	1	through	through	ADP
easat-3717	69	2	averaging	average	VERB
easat-3717	69	3	the	the	DET
easat-3717	69	4	results	result	NOUN
easat-3717	69	5	of	of	ADP
easat-3717	69	6	all	all	DET
easat-3717	69	7	classifiers	classifier	NOUN
easat-3717	69	8	,	,	PUNCT
easat-3717	69	9	we	we	PRON
easat-3717	69	10	make	make	VERB
easat-3717	69	11	a	a	DET
easat-3717	69	12	prediction	prediction	NOUN
easat-3717	69	13	for	for	ADP
easat-3717	69	14	the	the	DET
easat-3717	69	15	y	y	ADJ
easat-3717	69	16	-	-	PUNCT
easat-3717	69	17	class	class	NOUN
easat-3717	69	18	label	label	NOUN
easat-3717	69	19	.	.	PUNCT
easat-3717	70	1	1	1	NUM
easat-3717	70	2	2ˆ	2ˆ	NOUN
easat-3717	70	3	arg	arg	NOUN
easat-3717	70	4	max	max	PROPN
easat-3717	70	5	(	(	PUNCT
easat-3717	70	6	(	(	PUNCT
easat-3717	70	7	)	)	PUNCT
easat-3717	70	8	,	,	PUNCT
easat-3717	70	9	(	(	PUNCT
easat-3717	70	10	)	)	PUNCT
easat-3717	70	11	,	,	PUNCT
easat-3717	70	12	....	....	PUNCT
easat-3717	70	13	,	,	PUNCT
easat-3717	70	14	(	(	PUNCT
easat-3717	70	15	)	)	PUNCT
easat-3717	70	16	)	)	PUNCT
easat-3717	70	17	n	n	X
easat-3717	70	18	c	c	NOUN
easat-3717	70	19	t	t	PROPN
easat-3717	70	20	c	c	NOUN
easat-3717	70	21	t	t	PROPN
easat-3717	70	22	c	c	NOUN
easat-3717	70	23	ty	ty	INTJ
easat-3717	70	24	n	n	PROPN
easat-3717	70	25	y	y	PROPN
easat-3717	70	26	n	n	CCONJ
easat-3717	70	27	y	y	PROPN
easat-3717	70	28	n	n	PROPN
easat-3717	70	29	y=	y=	PROPN
easat-3717	70	30	7881	7881	NUM
easat-3717	70	31	edelweiss	edelweiss	PROPN
easat-3717	70	32	applied	apply	VERB
easat-3717	70	33	science	science	NOUN
easat-3717	70	34	and	and	CCONJ
easat-3717	70	35	technology	technology	NOUN
easat-3717	70	36	issn	issn	PROPN
easat-3717	70	37	:	:	PUNCT
easat-3717	70	38	2576	2576	NUM
easat-3717	70	39	-	-	SYM
easat-3717	70	40	8484	8484	NUM
easat-3717	70	41	vol	vol	NOUN
easat-3717	70	42	.	.	PROPN
easat-3717	70	43	8	8	NUM
easat-3717	70	44	,	,	PUNCT
easat-3717	70	45	no	no	INTJ
easat-3717	70	46	.	.	NOUN
easat-3717	70	47	6	6	NUM
easat-3717	70	48	:	:	PUNCT
easat-3717	70	49	7878	7878	NUM
easat-3717	70	50	-	-	SYM
easat-3717	70	51	7901	7901	NUM
easat-3717	70	52	,	,	PUNCT
easat-3717	70	53	2024	2024	NUM
easat-3717	70	54	doi	doi	NOUN
easat-3717	70	55	:	:	PUNCT
easat-3717	70	56	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	70	57	©	©	PROPN
easat-3717	70	58	2024	2024	NUM
easat-3717	70	59	by	by	ADP
easat-3717	70	60	the	the	DET
easat-3717	70	61	authors	author	NOUN
easat-3717	70	62	;	;	PUNCT
easat-3717	70	63	licensee	licensee	PROPN
easat-3717	70	64	learning	learn	VERB
easat-3717	70	65	gate	gate	NOUN
easat-3717	70	66	let	let	VERB
easat-3717	70	67	's	us	PRON
easat-3717	70	68	pretend	pretend	VERB
easat-3717	70	69	we	we	PRON
easat-3717	70	70	've	have	AUX
easat-3717	70	71	decided	decide	VERB
easat-3717	70	72	to	to	PART
easat-3717	70	73	combine	combine	VERB
easat-3717	70	74	different	different	ADJ
easat-3717	70	75	classifiers	classifier	NOUN
easat-3717	70	76	that	that	PRON
easat-3717	70	77	label	label	VERB
easat-3717	70	78	a	a	DET
easat-3717	70	79	training	training	NOUN
easat-3717	70	80	sample	sample	NOUN
easat-3717	70	81	with	with	ADP
easat-3717	70	82	in	in	ADP
easat-3717	70	83	following	follow	VERB
easat-3717	70	84	ways	way	NOUN
easat-3717	70	85	:	:	PUNCT
easat-3717	70	86	•	•	NUM
easat-3717	70	87	classifier	classifier	NOUN
easat-3717	70	88	1	1	NUM
easat-3717	70	89	-	-	PUNCT
easat-3717	70	90	>	>	X
easat-3717	70	91	class	class	NOUN
easat-3717	70	92	0	0	NUM
easat-3717	70	93	•	•	NOUN
easat-3717	70	94	classifier	classifier	NOUN
easat-3717	70	95	2	2	NUM
easat-3717	70	96	-	-	PUNCT
easat-3717	70	97	>	>	X
easat-3717	70	98	class	class	NOUN
easat-3717	70	99	0	0	NUM
easat-3717	70	100	•	•	NOUN
easat-3717	70	101	classifier	classifier	NOUN
easat-3717	70	102	3	3	NUM
easat-3717	70	103	-	-	PUNCT
easat-3717	70	104	>	>	X
easat-3717	70	105	class	class	NOUN
easat-3717	70	106	1	1	NUM
easat-3717	70	107	y^=mode	y^=mode	PROPN
easat-3717	70	108	{	{	PUNCT
easat-3717	70	109	0,0,1	0,0,1	NOUN
easat-3717	70	110	}	}	PUNCT
easat-3717	70	111	=	=	NOUN
easat-3717	70	112	0	0	NUM
easat-3717	70	113	by	by	ADP
easat-3717	70	114	a	a	DET
easat-3717	70	115	large	large	ADJ
easat-3717	70	116	margin	margin	NOUN
easat-3717	70	117	,	,	PUNCT
easat-3717	70	118	we	we	PRON
easat-3717	70	119	have	have	AUX
easat-3717	70	120	decided	decide	VERB
easat-3717	70	121	that	that	SCONJ
easat-3717	70	122	this	this	DET
easat-3717	70	123	sample	sample	NOUN
easat-3717	70	124	belongs	belong	VERB
easat-3717	70	125	in	in	ADP
easat-3717	70	126	"	"	PUNCT
easat-3717	70	127	class	class	NOUN
easat-3717	70	128	0	0	NUM
easat-3717	70	129	.	.	PUNCT
easat-3717	70	130	"	"	PUNCT
easat-3717	71	1	3.2	3.2	NUM
easat-3717	71	2	.	.	PUNCT
easat-3717	72	1	walrus	walrus	PROPN
easat-3717	72	2	optimization	optimization	NOUN
easat-3717	72	3	algorithm	algorithm	PROPN
easat-3717	72	4	(	(	PUNCT
easat-3717	72	5	waoa	waoa	PROPN
easat-3717	72	6	)	)	PUNCT
easat-3717	72	7	the	the	DET
easat-3717	72	8	walrus	walrus	PROPN
easat-3717	72	9	optimization	optimization	NOUN
easat-3717	72	10	algorithms	algorithm	NOUN
easat-3717	72	11	(	(	PUNCT
easat-3717	72	12	waoa	waoa	NOUN
easat-3717	72	13	)	)	PUNCT
easat-3717	72	14	is	be	AUX
easat-3717	72	15	a	a	DET
easat-3717	72	16	metaheuristic	metaheuristic	NOUN
easat-3717	72	17	that	that	PRON
easat-3717	72	18	is	be	AUX
easat-3717	72	19	population	population	NOUN
easat-3717	72	20	-	-	PUNCT
easat-3717	72	21	based	base	VERB
easat-3717	72	22	,	,	PUNCT
easat-3717	72	23	with	with	ADP
easat-3717	72	24	its	its	PRON
easat-3717	72	25	population	population	NOUN
easat-3717	72	26	members	member	NOUN
easat-3717	72	27	represented	represent	VERB
easat-3717	72	28	by	by	ADP
easat-3717	72	29	walruses	walrus	NOUN
easat-3717	72	30	.	.	PUNCT
easat-3717	73	1	in	in	ADP
easat-3717	73	2	waoa	waoa	PROPN
easat-3717	73	3	,	,	PUNCT
easat-3717	73	4	these	these	DET
easat-3717	73	5	walruses	walrus	NOUN
easat-3717	73	6	symbolize	symbolize	VERB
easat-3717	73	7	potential	potential	ADJ
easat-3717	73	8	solutions	solution	NOUN
easat-3717	73	9	to	to	ADP
easat-3717	73	10	the	the	DET
easat-3717	73	11	optimization	optimization	NOUN
easat-3717	73	12	problem	problem	NOUN
easat-3717	73	13	,	,	PUNCT
easat-3717	73	14	and	and	CCONJ
easat-3717	73	15	their	their	PRON
easat-3717	73	16	positions	position	NOUN
easat-3717	73	17	define	define	VERB
easat-3717	73	18	the	the	DET
easat-3717	73	19	specifications	specification	NOUN
easat-3717	73	20	for	for	ADP
easat-3717	73	21	issue	issue	NOUN
easat-3717	73	22	variables	variable	NOUN
easat-3717	73	23	in	in	ADP
easat-3717	73	24	the	the	DET
easat-3717	73	25	search	search	NOUN
easat-3717	73	26	space	space	NOUN
easat-3717	73	27	.	.	PUNCT
easat-3717	74	1	as	as	ADP
easat-3717	74	2	a	a	DET
easat-3717	74	3	result	result	NOUN
easat-3717	74	4	,	,	PUNCT
easat-3717	74	5	each	each	DET
easat-3717	74	6	the	the	DET
easat-3717	74	7	walrus	walrus	PROPN
easat-3717	74	8	is	be	AUX
easat-3717	74	9	seen	see	VERB
easat-3717	74	10	as	as	ADP
easat-3717	74	11	a	a	DET
easat-3717	74	12	vector	vector	NOUN
easat-3717	74	13	,	,	PUNCT
easat-3717	74	14	and	and	CCONJ
easat-3717	74	15	the	the	DET
easat-3717	74	16	whole	whole	ADJ
easat-3717	74	17	community	community	NOUN
easat-3717	74	18	of	of	ADP
easat-3717	74	19	the	the	DET
easat-3717	74	20	walrus	walrus	PROPN
easat-3717	74	21	is	be	AUX
easat-3717	74	22	mathematically	mathematically	ADV
easat-3717	74	23	represented	represent	VERB
easat-3717	74	24	expressed	express	VERB
easat-3717	74	25	as	as	ADP
easat-3717	74	26	a	a	DET
easat-3717	74	27	population	population	NOUN
easat-3717	74	28	matrix	matrix	NOUN
easat-3717	74	29	.	.	PUNCT
easat-3717	75	1	initially	initially	ADV
easat-3717	75	2	,	,	PUNCT
easat-3717	75	3	walrus	walrus	PROPN
easat-3717	75	4	populations	population	NOUN
easat-3717	75	5	are	be	AUX
easat-3717	75	6	formed	form	VERB
easat-3717	75	7	at	at	ADP
easat-3717	75	8	random	random	ADJ
easat-3717	75	9	during	during	ADP
easat-3717	75	10	the	the	DET
easat-3717	75	11	introduction	introduction	NOUN
easat-3717	75	12	of	of	ADP
easat-3717	75	13	waoa	waoa	PROPN
easat-3717	75	14	.	.	PUNCT
easat-3717	76	1	the	the	DET
easat-3717	76	2	waoa	waoa	PROPN
easat-3717	76	3	population	population	NOUN
easat-3717	76	4	matrix	matrix	NOUN
easat-3717	76	5	's	's	PART
easat-3717	76	6	construction	construction	NOUN
easat-3717	76	7	is	be	AUX
easat-3717	76	8	precisely	precisely	ADV
easat-3717	76	9	defined	define	VERB
easat-3717	76	10	using	use	VERB
easat-3717	76	11	equation	equation	NOUN
easat-3717	76	12	(	(	PUNCT
easat-3717	76	13	1	1	NUM
easat-3717	76	14	)	)	PUNCT
easat-3717	76	15	.	.	PUNCT
easat-3717	77	1	1,1,1	1,1,1	NUM
easat-3717	77	2	1	1	NUM
easat-3717	77	3	,	,	PUNCT
easat-3717	77	4	1	1	NUM
easat-3717	77	5	,	,	PUNCT
easat-3717	77	6	,	,	PUNCT
easat-3717	77	7	1	1	NUM
easat-3717	77	8	,	,	PUNCT
easat-3717	77	9	,	,	PUNCT
easat-3717	77	10	1	1	NUM
easat-3717	77	11	,	,	PUNCT
easat-3717	77	12	,	,	PUNCT
easat-3717	77	13	*	*	PUNCT
easat-3717	78	1	*	*	PUNCT
easat-3717	78	2	j	j	NOUN
easat-3717	78	3	m	m	VERB
easat-3717	79	1	i	i	INTJ
easat-3717	80	1	ji	ji	INTJ
easat-3717	81	1	i	i	PRON
easat-3717	81	2	m	m	VERB
easat-3717	81	3	i	i	VERB
easat-3717	81	4	n	n	VERB
easat-3717	81	5	n	n	CCONJ
easat-3717	81	6	j	j	PROPN
easat-3717	81	7	n	n	CCONJ
easat-3717	81	8	m	m	PROPN
easat-3717	81	9	n	n	VERB
easat-3717	81	10	n	n	ADV
easat-3717	81	11	m	m	VERB
easat-3717	81	12	n	n	ADV
easat-3717	81	13	m	m	NOUN
easat-3717	81	14	xx	xx	NUM
easat-3717	81	15	x	x	PUNCT
easat-3717	81	16	x	x	PUNCT
easat-3717	82	1	xx	xx	NUM
easat-3717	82	2	x	x	NOUN
easat-3717	82	3	x	x	PUNCT
easat-3717	82	4	x	x	PUNCT
easat-3717	82	5	x	x	PUNCT
easat-3717	82	6	x	x	SYM
easat-3717	82	7	x	x	PUNCT
easat-3717	82	8	x	x	SYM
easat-3717	82	9			NOUN
easat-3717	82	10			NOUN
easat-3717	82	11			PROPN
easat-3717	83	1			PROPN
easat-3717	83	2			PUNCT
easat-3717	83	3			PROPN
easat-3717	83	4			PROPN
easat-3717	83	5			PROPN
easat-3717	84	1			PROPN
easat-3717	84	2			PROPN
easat-3717	84	3			PROPN
easat-3717	84	4			PROPN
easat-3717	85	1			PROPN
easat-3717	85	2	=	=	NOUN
easat-3717	85	3	=	=	SYM
easat-3717	85	4			PROPN
easat-3717	85	5			PROPN
easat-3717	85	6			NOUN
easat-3717	86	1			PROPN
easat-3717	86	2			PROPN
easat-3717	86	3			PROPN
easat-3717	87	1			PROPN
easat-3717	87	2			PROPN
easat-3717	87	3			NOUN
easat-3717	87	4			PROPN
easat-3717	87	5			PROPN
easat-3717	87	6			PROPN
easat-3717	87	7			PROPN
easat-3717	88	1			PROPN
easat-3717	88	2			NOUN
easat-3717	88	3	(	(	PUNCT
easat-3717	88	4	1	1	NUM
easat-3717	88	5	)	)	PUNCT
easat-3717	88	6	in	in	ADP
easat-3717	88	7	the	the	DET
easat-3717	88	8	given	give	VERB
easat-3717	88	9	context	context	NOUN
easat-3717	88	10	,	,	PUNCT
easat-3717	88	11	the	the	DET
easat-3717	88	12	population	population	NOUN
easat-3717	88	13	of	of	ADP
easat-3717	88	14	walruses	walrus	NOUN
easat-3717	88	15	is	be	AUX
easat-3717	88	16	represented	represent	VERB
easat-3717	88	17	as	as	ADP
easat-3717	88	18	𝑋	𝑋	PROPN
easat-3717	88	19	,	,	PUNCT
easat-3717	88	20	where	where	SCONJ
easat-3717	88	21	each	each	DET
easat-3717	88	22	individual	individual	ADJ
easat-3717	88	23	walrus	walrus	PROPN
easat-3717	88	24	,	,	PUNCT
easat-3717	88	25	denoted	denote	VERB
easat-3717	88	26	as	as	ADP
easat-3717	88	27	𝑋𝑖	𝑋𝑖	PROPN
easat-3717	88	28	,	,	PUNCT
easat-3717	88	29	stands	stand	VERB
easat-3717	88	30	for	for	ADP
easat-3717	88	31	a	a	DET
easat-3717	88	32	candidate	candidate	NOUN
easat-3717	88	33	solution	solution	NOUN
easat-3717	88	34	.	.	PUNCT
easat-3717	89	1	within	within	ADP
easat-3717	89	2	this	this	DET
easat-3717	89	3	framework	framework	NOUN
easat-3717	89	4	,	,	PUNCT
easat-3717	89	5	𝑥	𝑥	PRON
easat-3717	89	6	,	,	PUNCT
easat-3717	89	7	signifies	signify	VERB
easat-3717	89	8	the	the	DET
easat-3717	89	9	value	value	NOUN
easat-3717	89	10	proposed	propose	VERB
easat-3717	89	11	by	by	ADP
easat-3717	89	12	the	the	DET
easat-3717	89	13	𝑖th	𝑖th	PROPN
easat-3717	89	14	walrus	walrus	PROPN
easat-3717	89	15	for	for	ADP
easat-3717	89	16	the	the	DET
easat-3717	89	17	𝑗th	𝑗th	PROPN
easat-3717	89	18	decision	decision	NOUN
easat-3717	89	19	variable	variable	NOUN
easat-3717	89	20	.	.	PUNCT
easat-3717	90	1	the	the	DET
easat-3717	90	2	population	population	NOUN
easat-3717	90	3	comprises	comprise	VERB
easat-3717	90	4	𝑁	𝑁	PROPN
easat-3717	90	5	walruses	walrus	NOUN
easat-3717	90	6	,	,	PUNCT
easat-3717	90	7	and	and	CCONJ
easat-3717	90	8	the	the	DET
easat-3717	90	9	problem	problem	NOUN
easat-3717	90	10	involves	involve	VERB
easat-3717	90	11	𝑚	𝑚	ADP
easat-3717	90	12	decision	decision	NOUN
easat-3717	90	13	variables[21	variables[21	NOUN
easat-3717	90	14	]	]	PUNCT
easat-3717	90	15	.	.	PUNCT
easat-3717	91	1	each	each	DET
easat-3717	91	2	walrus	walrus	PROPN
easat-3717	91	3	serves	serve	VERB
easat-3717	91	4	as	as	ADP
easat-3717	91	5	a	a	DET
easat-3717	91	6	potential	potential	ADJ
easat-3717	91	7	solution	solution	NOUN
easat-3717	91	8	to	to	ADP
easat-3717	91	9	the	the	DET
easat-3717	91	10	issue	issue	NOUN
easat-3717	91	11	,	,	PUNCT
easat-3717	91	12	as	as	ADV
easat-3717	91	13	well	well	ADV
easat-3717	91	14	as	as	ADP
easat-3717	91	15	recommended	recommend	VERB
easat-3717	91	16	values	value	NOUN
easat-3717	91	17	for	for	ADP
easat-3717	91	18	variables	variable	NOUN
easat-3717	91	19	to	to	PART
easat-3717	91	20	consider	consider	VERB
easat-3717	91	21	allow	allow	VERB
easat-3717	91	22	us	we	PRON
easat-3717	91	23	to	to	PART
easat-3717	91	24	calculate	calculate	VERB
easat-3717	91	25	the	the	DET
easat-3717	91	26	objective	objective	ADJ
easat-3717	91	27	function[22	function[22	NOUN
easat-3717	91	28	]	]	PUNCT
easat-3717	91	29	.	.	PUNCT
easat-3717	92	1	the	the	DET
easat-3717	92	2	estimated	estimate	VERB
easat-3717	92	3	objective	objective	ADJ
easat-3717	92	4	function	function	NOUN
easat-3717	92	5	values	value	NOUN
easat-3717	92	6	resulting	result	VERB
easat-3717	92	7	from	from	ADP
easat-3717	92	8	the	the	DET
easat-3717	92	9	contributions	contribution	NOUN
easat-3717	92	10	of	of	ADP
easat-3717	92	11	these	these	DET
easat-3717	92	12	walruses	walrus	NOUN
easat-3717	92	13	are	be	AUX
easat-3717	92	14	defined	define	VERB
easat-3717	92	15	in	in	ADP
easat-3717	92	16	equation	equation	NOUN
easat-3717	92	17	(	(	PUNCT
easat-3717	92	18	2	2	NUM
easat-3717	92	19	)	)	PUNCT
easat-3717	92	20	.	.	PUNCT
easat-3717	93	1	1	1	NUM
easat-3717	93	2	1	1	NUM
easat-3717	93	3	*	*	SYM
easat-3717	93	4	1	1	NUM
easat-3717	93	5	*	*	SYM
easat-3717	93	6	1	1	NUM
easat-3717	93	7	(	(	PUNCT
easat-3717	93	8	)	)	PUNCT
easat-3717	93	9	(	(	PUNCT
easat-3717	93	10	)	)	PUNCT
easat-3717	93	11	(	(	PUNCT
easat-3717	93	12	)	)	PUNCT
easat-3717	93	13	i	i	PRON
easat-3717	93	14	i	i	PRON
easat-3717	93	15	n	n	VERB
easat-3717	93	16	nn	nn	PROPN
easat-3717	93	17	n	n	ADV
easat-3717	93	18	f	f	PROPN
easat-3717	93	19	f	f	PROPN
easat-3717	93	20	x	x	X
easat-3717	94	1	f	f	X
easat-3717	94	2	f	f	X
easat-3717	95	1	f	f	PROPN
easat-3717	95	2	x	x	X
easat-3717	95	3	f	f	PROPN
easat-3717	95	4	f	f	PROPN
easat-3717	95	5	x	x	SYM
easat-3717	95	6			PROPN
easat-3717	95	7			INTJ
easat-3717	95	8			PROPN
easat-3717	95	9			ADJ
easat-3717	95	10			NOUN
easat-3717	95	11			PROPN
easat-3717	95	12			NOUN
easat-3717	95	13			NOUN
easat-3717	95	14			NOUN
easat-3717	95	15			NOUN
easat-3717	95	16			NOUN
easat-3717	95	17			NOUN
easat-3717	95	18			NOUN
easat-3717	95	19			NOUN
easat-3717	95	20			NOUN
easat-3717	95	21	=	=	NOUN
easat-3717	95	22	=	=	SYM
easat-3717	95	23			NOUN
easat-3717	95	24			NOUN
easat-3717	95	25			NOUN
easat-3717	95	26			NOUN
easat-3717	95	27			NOUN
easat-3717	95	28			NOUN
easat-3717	95	29			NOUN
easat-3717	95	30			NOUN
easat-3717	95	31			NOUN
easat-3717	95	32			NOUN
easat-3717	95	33			NOUN
easat-3717	95	34			NOUN
easat-3717	95	35			NOUN
easat-3717	95	36			PROPN
easat-3717	95	37			NOUN
easat-3717	95	38			PROPN
easat-3717	95	39	(	(	PUNCT
easat-3717	95	40	2	2	NUM
easat-3717	95	41	)	)	PUNCT
easat-3717	95	42	here	here	ADV
easat-3717	95	43	,	,	PUNCT
easat-3717	95	44	f	f	PROPN
easat-3717	95	45	is	be	AUX
easat-3717	95	46	the	the	DET
easat-3717	95	47	vector	vector	NOUN
easat-3717	95	48	of	of	ADP
easat-3717	95	49	goal	goal	NOUN
easat-3717	95	50	operations	operation	NOUN
easat-3717	95	51	,	,	PUNCT
easat-3717	95	52	with	with	SCONJ
easat-3717	95	53	each	each	DET
easat-3717	95	54	element	element	NOUN
easat-3717	95	55	represented	represent	VERB
easat-3717	95	56	as	as	ADP
easat-3717	95	57	fi	fi	NOUN
easat-3717	95	58	,	,	PUNCT
easat-3717	95	59	which	which	PRON
easat-3717	95	60	represents	represent	VERB
easat-3717	95	61	the	the	DET
easat-3717	95	62	individual	individual	NOUN
easat-3717	95	63	the	the	DET
easat-3717	95	64	desired	desire	VERB
easat-3717	95	65	function	function	NOUN
easat-3717	95	66	's	's	PART
easat-3717	95	67	value	value	NOUN
easat-3717	95	68	is	be	AUX
easat-3717	95	69	obtained	obtain	VERB
easat-3717	95	70	from	from	ADP
easat-3717	95	71	the	the	DET
easat-3717	95	72	inputs	input	NOUN
easat-3717	95	73	that	that	PRON
easat-3717	95	74	are	be	AUX
easat-3717	95	75	provided	provide	VERB
easat-3717	95	76	of	of	ADP
easat-3717	95	77	the	the	DET
easat-3717	95	78	ith	ith	PROPN
easat-3717	95	79	walrus	walrus	PROPN
easat-3717	95	80	.	.	PUNCT
easat-3717	96	1	algorithm	algorithm	PROPN
easat-3717	96	2	:	:	PUNCT
easat-3717	96	3	pseudocode	pseudocode	PROPN
easat-3717	96	4	of	of	ADP
easat-3717	96	5	waoa	waoa	PROPN
easat-3717	96	6	start	start	VERB
easat-3717	96	7	waoa	waoa	PROPN
easat-3717	96	8	1	1	NUM
easat-3717	96	9	.	.	PUNCT
easat-3717	97	1	input	input	VERB
easat-3717	97	2	entire	entire	ADJ
easat-3717	97	3	optimisation	optimisation	NOUN
easat-3717	97	4	problem	problem	NOUN
easat-3717	97	5	data	datum	NOUN
easat-3717	97	6	2	2	NUM
easat-3717	97	7	.	.	PUNCT
easat-3717	98	1	set	set	VERB
easat-3717	98	2	the	the	DET
easat-3717	98	3	total	total	ADJ
easat-3717	98	4	amount	amount	NOUN
easat-3717	98	5	of	of	ADP
easat-3717	98	6	iterations	iteration	NOUN
easat-3717	98	7	(	(	PUNCT
easat-3717	98	8	t	t	NOUN
easat-3717	98	9	)	)	PUNCT
easat-3717	98	10	and	and	CCONJ
easat-3717	98	11	the	the	DET
easat-3717	98	12	number	number	NOUN
easat-3717	98	13	of	of	ADP
easat-3717	98	14	walruses	walrus	NOUN
easat-3717	98	15	(	(	PUNCT
easat-3717	98	16	n	n	CCONJ
easat-3717	98	17	)	)	PUNCT
easat-3717	98	18	3	3	NUM
easat-3717	98	19	.	.	PUNCT
easat-3717	99	1	locations	location	NOUN
easat-3717	99	2	of	of	ADP
easat-3717	99	3	walruses	walrus	NOUN
easat-3717	99	4	are	be	AUX
easat-3717	99	5	initialised	initialise	VERB
easat-3717	99	6	.	.	PUNCT
easat-3717	100	1	4	4	X
easat-3717	100	2	.	.	X
easat-3717	100	3	for	for	ADP
easat-3717	100	4	t=1	t=1	PROPN
easat-3717	100	5	:	:	PUNCT
easat-3717	100	6	t	t	PROPN
easat-3717	100	7	5	5	NUM
easat-3717	100	8	.	.	PUNCT
easat-3717	100	9	update	update	VERB
easat-3717	100	10	strongest	strong	ADJ
easat-3717	100	11	walrus	walrus	NOUN
easat-3717	100	12	based	base	VERB
easat-3717	100	13	on	on	ADP
easat-3717	100	14	objective	objective	ADJ
easat-3717	100	15	function	function	NOUN
easat-3717	100	16	value	value	NOUN
easat-3717	100	17	criterion	criterion	NOUN
easat-3717	100	18	6	6	NUM
easat-3717	100	19	.	.	PUNCT
easat-3717	100	20	for	for	ADP
easat-3717	100	21	i=1	i=1	NOUN
easat-3717	100	22	:	:	PUNCT
easat-3717	100	23	n	n	PROPN
easat-3717	100	24	7	7	NUM
easat-3717	100	25	.	.	PUNCT
easat-3717	101	1	phase1	phase1	NOUN
easat-3717	101	2	:	:	PUNCT
easat-3717	101	3	feeding	feed	VERB
easat-3717	101	4	strategy	strategy	NOUN
easat-3717	101	5	(	(	PUNCT
easat-3717	101	6	exploration	exploration	NOUN
easat-3717	101	7	)	)	PUNCT
easat-3717	101	8	7882	7882	NUM
easat-3717	102	1	edelweiss	edelweiss	PROPN
easat-3717	102	2	applied	apply	VERB
easat-3717	102	3	science	science	NOUN
easat-3717	102	4	and	and	CCONJ
easat-3717	102	5	technology	technology	NOUN
easat-3717	102	6	issn	issn	PROPN
easat-3717	102	7	:	:	PUNCT
easat-3717	102	8	2576	2576	NUM
easat-3717	102	9	-	-	SYM
easat-3717	102	10	8484	8484	NUM
easat-3717	102	11	vol	vol	NOUN
easat-3717	102	12	.	.	PROPN
easat-3717	102	13	8	8	NUM
easat-3717	102	14	,	,	PUNCT
easat-3717	102	15	no	no	INTJ
easat-3717	102	16	.	.	NOUN
easat-3717	102	17	6	6	NUM
easat-3717	102	18	:	:	PUNCT
easat-3717	102	19	7878	7878	NUM
easat-3717	102	20	-	-	SYM
easat-3717	102	21	7901	7901	NUM
easat-3717	102	22	,	,	PUNCT
easat-3717	102	23	2024	2024	NUM
easat-3717	102	24	doi	doi	NOUN
easat-3717	102	25	:	:	PUNCT
easat-3717	102	26	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	102	27	©	©	PROPN
easat-3717	102	28	2024	2024	NUM
easat-3717	102	29	by	by	ADP
easat-3717	102	30	the	the	DET
easat-3717	102	31	authors	author	NOUN
easat-3717	102	32	;	;	PUNCT
easat-3717	102	33	licensee	licensee	PROPN
easat-3717	102	34	learning	learning	NOUN
easat-3717	102	35	gate	gate	NOUN
easat-3717	102	36	8	8	NUM
easat-3717	102	37	.	.	PUNCT
easat-3717	102	38	determine	determine	VERB
easat-3717	102	39	the	the	DET
easat-3717	102	40	new	new	ADJ
easat-3717	102	41	position	position	NOUN
easat-3717	102	42	of	of	ADP
easat-3717	102	43	the	the	DET
easat-3717	102	44	jth	jth	PROPN
easat-3717	102	45	walrus	walrus	PROPN
easat-3717	102	46	with	with	ADP
easat-3717	102	47	(	(	PUNCT
easat-3717	102	48	)	)	PUNCT
easat-3717	102	49	1	1	NUM
easat-3717	102	50	,	,	PUNCT
easat-3717	102	51	,	,	PUNCT
easat-3717	102	52	,	,	PUNCT
easat-3717	102	53	,	,	PUNCT
easat-3717	102	54	,	,	PUNCT
easat-3717	102	55	.	.	PUNCT
easat-3717	102	56	.	.	PUNCT
easat-3717	103	1	p	p	X
easat-3717	104	1	i	i	PRON
easat-3717	104	2	j	j	PROPN
easat-3717	105	1	i	i	PRON
easat-3717	105	2	j	j	VERB
easat-3717	106	1	i	i	PRON
easat-3717	106	2	j	j	PROPN
easat-3717	107	1	j	j	NOUN
easat-3717	108	1	i	i	PRON
easat-3717	108	2	j	j	VERB
easat-3717	109	1	i	i	PRON
easat-3717	109	2	jx	jx	PROPN
easat-3717	109	3	x	x	VERB
easat-3717	109	4	rand	rand	PROPN
easat-3717	109	5	sw	sw	PROPN
easat-3717	110	1	i	i	INTJ
easat-3717	110	2	x=	x=	PUNCT
easat-3717	111	1	+	+	CCONJ
easat-3717	111	2	−	−	PROPN
easat-3717	111	3	9	9	NUM
easat-3717	111	4	.	.	X
easat-3717	111	5	update	update	VERB
easat-3717	111	6	the	the	DET
easat-3717	111	7	ith	ith	PROPN
easat-3717	111	8	walrus	walrus	PROPN
easat-3717	111	9	location	location	NOUN
easat-3717	111	10	using	use	VERB
easat-3717	111	11	1	1	NUM
easat-3717	111	12	1	1	NUM
easat-3717	111	13	,	,	PUNCT
easat-3717	111	14	,	,	PUNCT
easat-3717	111	15	,	,	PUNCT
easat-3717	111	16	,	,	PUNCT
easat-3717	111	17	p	p	X
easat-3717	111	18	p	p	X
easat-3717	112	1	i	i	PRON
easat-3717	112	2	i	i	PRON
easat-3717	113	1	i	i	PRON
easat-3717	113	2	i	i	PRON
easat-3717	114	1	i	i	VERB
easat-3717	114	2	x	x	X
easat-3717	115	1	f	f	NOUN
easat-3717	115	2	f	f	NOUN
easat-3717	115	3	x	x	SYM
easat-3717	115	4	x	x	X
easat-3717	115	5	else	else	ADV
easat-3717	115	6			ADP
easat-3717	115	7			PROPN
easat-3717	115	8	=	=	PUNCT
easat-3717	116	1			NUM
easat-3717	116	2			NOUN
easat-3717	116	3	10	10	NUM
easat-3717	116	4	.	.	PUNCT
easat-3717	117	1	phase2	phase2	NOUN
easat-3717	117	2	:	:	PUNCT
easat-3717	117	3	migration	migration	NOUN
easat-3717	117	4	11	11	NUM
easat-3717	117	5	.	.	PUNCT
easat-3717	118	1	select	select	VERB
easat-3717	118	2	the	the	DET
easat-3717	118	3	ith	ith	PROPN
easat-3717	118	4	walrus	walrus	PROPN
easat-3717	118	5	's	's	PART
easat-3717	118	6	immigration	immigration	NOUN
easat-3717	118	7	destination	destination	NOUN
easat-3717	118	8	.	.	PUNCT
easat-3717	119	1	12	12	NUM
easat-3717	119	2	.	.	PUNCT
easat-3717	119	3	find	find	VERB
easat-3717	119	4	the	the	DET
easat-3717	119	5	jth	jth	PROPN
easat-3717	119	6	walrus	walrus	PROPN
easat-3717	119	7	's	's	PART
easat-3717	119	8	new	new	ADJ
easat-3717	119	9	location	location	NOUN
easat-3717	119	10	with	with	ADP
easat-3717	119	11			PROPN
easat-3717	119	12	(	(	PUNCT
easat-3717	119	13	)	)	PUNCT
easat-3717	119	14	(	(	PUNCT
easat-3717	119	15	)	)	PUNCT
easat-3717	119	16	2	2	NUM
easat-3717	119	17	,	,	PUNCT
easat-3717	119	18	,	,	PUNCT
easat-3717	119	19	,	,	PUNCT
easat-3717	119	20	,	,	PUNCT
easat-3717	119	21	,	,	PUNCT
easat-3717	119	22	,	,	PUNCT
easat-3717	119	23	,	,	PUNCT
easat-3717	119	24	,	,	PUNCT
easat-3717	119	25	,	,	PUNCT
easat-3717	119	26	,	,	PUNCT
easat-3717	119	27	.	.	PUNCT
easat-3717	119	28	.	.	PUNCT
easat-3717	120	1	,	,	PUNCT
easat-3717	120	2	,	,	PUNCT
easat-3717	120	3	.	.	PUNCT
easat-3717	121	1	,	,	PUNCT
easat-3717	121	2	,	,	PUNCT
easat-3717	121	3	p	p	X
easat-3717	122	1	i	i	PRON
easat-3717	122	2	j	j	PROPN
easat-3717	123	1	i	i	PRON
easat-3717	123	2	j	j	VERB
easat-3717	124	1	i	i	PRON
easat-3717	124	2	j	j	PROPN
easat-3717	125	1	k	k	PROPN
easat-3717	125	2	j	j	PROPN
easat-3717	126	1	k	k	PROPN
easat-3717	126	2	j	j	PROPN
easat-3717	127	1	i	i	PRON
easat-3717	127	2	j	j	PROPN
easat-3717	128	1	k	k	INTJ
easat-3717	128	2	i	i	PRON
easat-3717	129	1	i	i	INTJ
easat-3717	129	2	j	j	VERB
easat-3717	130	1	i	i	PRON
easat-3717	130	2	j	j	VERB
easat-3717	131	1	i	i	PRON
easat-3717	131	2	j	j	PROPN
easat-3717	132	1	k	k	PROPN
easat-3717	132	2	j	j	PROPN
easat-3717	133	1	x	x	PUNCT
easat-3717	133	2	x	x	PUNCT
easat-3717	133	3	rand	rand	NOUN
easat-3717	133	4	x	x	NOUN
easat-3717	134	1	i	i	NOUN
easat-3717	134	2	x	x	PROPN
easat-3717	134	3	f	f	NOUN
easat-3717	134	4	f	f	NOUN
easat-3717	134	5	x	x	SYM
easat-3717	134	6	rand	rand	NOUN
easat-3717	134	7	x	x	PUNCT
easat-3717	134	8	x	x	X
easat-3717	134	9	else	else	ADV
easat-3717	134	10	=	=	SYM
easat-3717	135	1	+	+	CCONJ
easat-3717	136	1	−	−	PROPN
easat-3717	136	2			PROPN
easat-3717	136	3	+	+	CCONJ
easat-3717	136	4	−	−	PROPN
easat-3717	136	5	13	13	NUM
easat-3717	136	6	.	.	PUNCT
easat-3717	137	1	update	update	VERB
easat-3717	137	2	the	the	DET
easat-3717	137	3	ith	ith	PROPN
easat-3717	137	4	walrus	walrus	PROPN
easat-3717	137	5	location	location	NOUN
easat-3717	137	6	using	use	VERB
easat-3717	137	7			PROPN
easat-3717	137	8	2	2	NUM
easat-3717	137	9	2	2	NUM
easat-3717	137	10	,	,	PUNCT
easat-3717	137	11	,	,	PUNCT
easat-3717	137	12	,	,	PUNCT
easat-3717	137	13	p	p	X
easat-3717	137	14	p	p	X
easat-3717	138	1	i	i	PRON
easat-3717	138	2	i	i	PRON
easat-3717	139	1	i	i	PRON
easat-3717	139	2	i	i	PRON
easat-3717	139	3	i	i	VERB
easat-3717	139	4	x	x	VERB
easat-3717	140	1	x	x	X
easat-3717	140	2	f	f	NOUN
easat-3717	140	3	f	f	NOUN
easat-3717	140	4	x	x	X
easat-3717	140	5	else	else	ADV
easat-3717	140	6	=	=	SYM
easat-3717	140	7			PROPN
easat-3717	140	8	14	14	NUM
easat-3717	140	9	.	.	PUNCT
easat-3717	140	10	phase	phase	NOUN
easat-3717	140	11	3	3	NUM
easat-3717	140	12	:	:	PUNCT
easat-3717	140	13	escaping	escape	VERB
easat-3717	140	14	and	and	CCONJ
easat-3717	140	15	fighting	fight	VERB
easat-3717	140	16	against	against	ADP
easat-3717	140	17	predators	predator	NOUN
easat-3717	140	18	15	15	NUM
easat-3717	140	19	.	.	PUNCT
easat-3717	140	20	calculate	calculate	VERB
easat-3717	140	21	a	a	DET
easat-3717	140	22	new	new	ADJ
easat-3717	140	23	position	position	NOUN
easat-3717	140	24	in	in	ADP
easat-3717	140	25	the	the	DET
easat-3717	140	26	neighbourhood	neighbourhood	NOUN
easat-3717	140	27	of	of	ADP
easat-3717	140	28	the	the	DET
easat-3717	140	29	ith	ith	PROPN
easat-3717	140	30	walrus	walrus	PROPN
easat-3717	140	31	using	use	VERB
easat-3717	140	32	(	(	PUNCT
easat-3717	140	33	)	)	PUNCT
easat-3717	140	34	(	(	PUNCT
easat-3717	140	35	)	)	PUNCT
easat-3717	140	36	3	3	NUM
easat-3717	140	37	,	,	PUNCT
easat-3717	140	38	,	,	PUNCT
easat-3717	140	39	,	,	PUNCT
easat-3717	140	40	,	,	PUNCT
easat-3717	140	41	,	,	PUNCT
easat-3717	140	42	,	,	PUNCT
easat-3717	140	43	p	p	PROPN
easat-3717	140	44	t	t	PROPN
easat-3717	140	45	t	t	PROPN
easat-3717	140	46	t	t	PROPN
easat-3717	141	1	i	i	PRON
easat-3717	141	2	j	j	PROPN
easat-3717	142	1	i	i	PRON
easat-3717	142	2	j	j	PROPN
easat-3717	142	3	local	local	ADJ
easat-3717	142	4	j	j	PROPN
easat-3717	142	5	local	local	ADJ
easat-3717	142	6	j	j	PROPN
easat-3717	142	7	lacal	lacal	ADJ
easat-3717	142	8	jx	jx	PROPN
easat-3717	142	9	x	x	PUNCT
easat-3717	142	10	lb	lb	X
easat-3717	142	11	ub	ub	ADJ
easat-3717	142	12	rand	rand	NOUN
easat-3717	142	13	lb=	lb=	NOUN
easat-3717	142	14	+	+	X
easat-3717	143	1	+	+	CCONJ
easat-3717	143	2	−	−	PROPN
easat-3717	143	3			NUM
easat-3717	143	4			PROPN
easat-3717	143	5	,	,	PUNCT
easat-3717	143	6	,	,	PUNCT
easat-3717	143	7	:	:	PUNCT
easat-3717	143	8	jt	jt	PROPN
easat-3717	143	9	local	local	PROPN
easat-3717	143	10	j	j	PROPN
easat-3717	143	11	jt	jt	PROPN
easat-3717	143	12	local	local	PROPN
easat-3717	143	13	j	j	PROPN
easat-3717	143	14	lb	lb	PRON
easat-3717	143	15	local	local	ADJ
easat-3717	143	16	bounds	bound	NOUN
easat-3717	143	17	lb	lb	ADP
easat-3717	143	18	t	t	PROPN
easat-3717	143	19	ub	ub	INTJ
easat-3717	143	20	ub	ub	PROPN
easat-3717	143	21	t	t	PROPN
easat-3717	143	22	=	=	PUNCT
easat-3717	144	1	=	=	SYM
easat-3717	144	2	16	16	NUM
easat-3717	144	3	.	.	PUNCT
easat-3717	145	1	update	update	VERB
easat-3717	145	2	the	the	DET
easat-3717	145	3	ith	ith	PROPN
easat-3717	145	4	walrus	walrus	PROPN
easat-3717	145	5	location	location	NOUN
easat-3717	145	6	using	use	VERB
easat-3717	145	7	3	3	NUM
easat-3717	145	8	3	3	NUM
easat-3717	145	9	{	{	PUNCT
easat-3717	145	10	,	,	PUNCT
easat-3717	145	11	,	,	PUNCT
easat-3717	145	12	,	,	PUNCT
easat-3717	145	13	,	,	PUNCT
easat-3717	145	14	p	p	X
easat-3717	145	15	p	p	X
easat-3717	146	1	i	i	PRON
easat-3717	146	2	i	i	PRON
easat-3717	147	1	i	i	PRON
easat-3717	147	2	i	i	PRON
easat-3717	147	3	i	i	VERB
easat-3717	147	4	x	x	VERB
easat-3717	148	1	x	x	X
easat-3717	148	2	f	f	NOUN
easat-3717	148	3	f	f	NOUN
easat-3717	148	4	x	x	X
easat-3717	148	5	else	else	ADV
easat-3717	148	6	=	=	SYM
easat-3717	148	7			PROPN
easat-3717	148	8	17	17	NUM
easat-3717	148	9	.	.	PUNCT
easat-3717	148	10	end	end	PROPN
easat-3717	148	11	18	18	NUM
easat-3717	148	12	.	.	PUNCT
easat-3717	149	1	keep	keep	VERB
easat-3717	149	2	the	the	DET
easat-3717	149	3	best	good	ADJ
easat-3717	149	4	possible	possible	ADJ
easat-3717	149	5	answer	answer	NOUN
easat-3717	149	6	so	so	ADV
easat-3717	149	7	far	far	ADV
easat-3717	149	8	19	19	NUM
easat-3717	149	9	.	.	NOUN
easat-3717	149	10	end	end	NOUN
easat-3717	149	11	20	20	NUM
easat-3717	149	12	.	.	PUNCT
easat-3717	150	1	provide	provide	VERB
easat-3717	150	2	waoa	waoa	PROPN
easat-3717	150	3	's	's	PART
easat-3717	150	4	most	most	ADV
easat-3717	150	5	effective	effective	ADJ
easat-3717	150	6	quasi	quasi	ADJ
easat-3717	150	7	-	-	ADJ
easat-3717	150	8	optimal	optimal	ADJ
easat-3717	150	9	solution	solution	NOUN
easat-3717	150	10	for	for	ADP
easat-3717	150	11	the	the	DET
easat-3717	150	12	given	give	VERB
easat-3717	150	13	problem	problem	NOUN
easat-3717	150	14	21	21	NUM
easat-3717	150	15	.	.	PUNCT
easat-3717	151	1	end	end	PROPN
easat-3717	151	2	waoa	waoa	PROPN
easat-3717	151	3	7883	7883	NUM
easat-3717	151	4	edelweiss	edelweiss	PROPN
easat-3717	151	5	applied	apply	VERB
easat-3717	151	6	science	science	NOUN
easat-3717	151	7	and	and	CCONJ
easat-3717	151	8	technology	technology	NOUN
easat-3717	151	9	issn	issn	PROPN
easat-3717	151	10	:	:	PUNCT
easat-3717	151	11	2576	2576	NUM
easat-3717	151	12	-	-	SYM
easat-3717	151	13	8484	8484	NUM
easat-3717	151	14	vol	vol	NOUN
easat-3717	151	15	.	.	PROPN
easat-3717	152	1	8	8	NUM
easat-3717	152	2	,	,	PUNCT
easat-3717	152	3	no	no	INTJ
easat-3717	152	4	.	.	NOUN
easat-3717	152	5	6	6	NUM
easat-3717	152	6	:	:	PUNCT
easat-3717	152	7	7878	7878	NUM
easat-3717	152	8	-	-	SYM
easat-3717	152	9	7901	7901	NUM
easat-3717	152	10	,	,	PUNCT
easat-3717	152	11	2024	2024	NUM
easat-3717	152	12	doi	doi	NOUN
easat-3717	152	13	:	:	PUNCT
easat-3717	152	14	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	152	15	©	©	PROPN
easat-3717	152	16	2024	2024	NUM
easat-3717	152	17	by	by	ADP
easat-3717	152	18	the	the	DET
easat-3717	152	19	authors	author	NOUN
easat-3717	152	20	;	;	PUNCT
easat-3717	152	21	licensee	licensee	PROPN
easat-3717	152	22	learning	learn	VERB
easat-3717	152	23	gate	gate	NOUN
easat-3717	152	24	figure	figure	NOUN
easat-3717	152	25	1	1	NUM
easat-3717	152	26	.	.	PUNCT
easat-3717	152	27	flowchart	flowchart	PROPN
easat-3717	152	28	for	for	ADP
easat-3717	152	29	waoa	waoa	PROPN
easat-3717	152	30	.	.	PUNCT
easat-3717	153	1	from	from	ADP
easat-3717	153	2	the	the	DET
easat-3717	153	3	above	above	ADJ
easat-3717	153	4	algorithm	algorithm	NOUN
easat-3717	153	5	of	of	ADP
easat-3717	153	6	modified	modify	VERB
easat-3717	153	7	waoa	waoa	NOUN
easat-3717	153	8	enhances	enhance	VERB
easat-3717	153	9	the	the	DET
easat-3717	153	10	generalized	generalized	ADJ
easat-3717	153	11	walrus	walrus	NOUN
easat-3717	153	12	optimization	optimization	NOUN
easat-3717	153	13	algorithm	algorithm	NOUN
easat-3717	153	14	in	in	ADP
easat-3717	153	15	many	many	ADJ
easat-3717	153	16	ways	way	NOUN
easat-3717	153	17	.	.	PUNCT
easat-3717	154	1	adaptive	adaptive	ADJ
easat-3717	154	2	step	step	NOUN
easat-3717	154	3	sizes	size	NOUN
easat-3717	154	4	,	,	PUNCT
easat-3717	154	5	dynamic	dynamic	ADJ
easat-3717	154	6	migration	migration	NOUN
easat-3717	154	7	computations	computation	NOUN
easat-3717	154	8	,	,	PUNCT
easat-3717	154	9	&	&	CCONJ
easat-3717	154	10	perturbation	perturbation	NOUN
easat-3717	154	11	enhance	enhance	VERB
easat-3717	154	12	exploration	exploration	NOUN
easat-3717	154	13	,	,	PUNCT
easat-3717	154	14	migration	migration	NOUN
easat-3717	154	15	,	,	PUNCT
easat-3717	154	16	and	and	CCONJ
easat-3717	154	17	escape	escape	VERB
easat-3717	154	18	.	.	PUNCT
easat-3717	155	1	considering	consider	VERB
easat-3717	155	2	factors	factor	NOUN
easat-3717	155	3	outside	outside	ADP
easat-3717	155	4	objective	objective	ADJ
easat-3717	155	5	function	function	NOUN
easat-3717	155	6	values	value	NOUN
easat-3717	155	7	as	as	ADV
easat-3717	155	8	well	well	ADV
easat-3717	155	9	as	as	ADP
easat-3717	155	10	dynamically	dynamically	ADV
easat-3717	155	11	improving	improve	VERB
easat-3717	155	12	parameter	parameter	NOUN
easat-3717	155	13	selections	selection	NOUN
easat-3717	155	14	improves	improve	VERB
easat-3717	155	15	selection	selection	NOUN
easat-3717	155	16	.	.	PUNCT
easat-3717	156	1	the	the	DET
easat-3717	156	2	modified	modified	ADJ
easat-3717	156	3	waoa	waoa	NOUN
easat-3717	156	4	may	may	AUX
easat-3717	156	5	additionally	additionally	ADV
easat-3717	156	6	use	use	VERB
easat-3717	156	7	hybridization	hybridization	NOUN
easat-3717	156	8	via	via	ADP
easat-3717	156	9	other	other	ADJ
easat-3717	156	10	optimization	optimization	NOUN
easat-3717	156	11	techniques	technique	NOUN
easat-3717	156	12	or	or	CCONJ
easat-3717	156	13	problem	problem	NOUN
easat-3717	156	14	-	-	PUNCT
easat-3717	156	15	specific	specific	ADJ
easat-3717	156	16	information	information	NOUN
easat-3717	156	17	to	to	PART
easat-3717	156	18	increase	increase	VERB
easat-3717	156	19	performance	performance	NOUN
easat-3717	156	20	,	,	PUNCT
easat-3717	156	21	converging	converge	VERB
easat-3717	156	22	speed	speed	NOUN
easat-3717	156	23	,	,	PUNCT
easat-3717	156	24	solution	solution	NOUN
easat-3717	156	25	quality	quality	NOUN
easat-3717	156	26	,	,	PUNCT
easat-3717	156	27	&	&	CCONJ
easat-3717	156	28	robustness	robustness	NOUN
easat-3717	156	29	across	across	ADP
easat-3717	156	30	optimization	optimization	NOUN
easat-3717	156	31	difficulties	difficulty	NOUN
easat-3717	156	32	.	.	PUNCT
easat-3717	157	1	4	4	X
easat-3717	157	2	.	.	X
easat-3717	157	3	methodology	methodology	NOUN
easat-3717	157	4	thisresearchtakesanewapproachtothepredictionofservicequality.theproposedstrategyisdividedintoman	thisresearchtakesanewapproachtothepredictionofservicequality.theproposedstrategyisdividedintoman	PROPN
easat-3717	157	5	y	y	PROPN
easat-3717	157	6	phases.fortheapproachtowork	phases.fortheapproachtowork	PROPN
easat-3717	157	7	,	,	PUNCT
easat-3717	157	8	firstadatasetofnetworktrafficiscollected.theincomingdatasetisthenplaced	firstadatasetofnetworktrafficiscollected.theincomingdatasetisthenplace	VERB
easat-3717	157	9	through	through	ADP
easat-3717	157	10	a	a	DET
easat-3717	157	11	pre	pre	ADJ
easat-3717	157	12	-	-	ADJ
easat-3717	157	13	processing	processing	ADJ
easat-3717	157	14	procedure	procedure	NOUN
easat-3717	157	15	that	that	PRON
easat-3717	157	16	makes	make	VERB
easat-3717	157	17	use	use	NOUN
easat-3717	157	18	of	of	ADP
easat-3717	157	19	methods	method	NOUN
easat-3717	157	20	including	include	VERB
easat-3717	157	21	data	datum	NOUN
easat-3717	157	22	transformation	transformation	NOUN
easat-3717	157	23	,	,	PUNCT
easat-3717	157	24	data	data	NOUN
easat-3717	157	25	purification	purification	NOUN
easat-3717	157	26	,	,	PUNCT
easat-3717	157	27	and	and	CCONJ
easat-3717	157	28	data	datum	NOUN
easat-3717	157	29	imputation	imputation	NOUN
easat-3717	157	30	.	.	PUNCT
easat-3717	158	1	after	after	SCONJ
easat-3717	158	2	the	the	DET
easat-3717	158	3	data	data	NOUN
easat-3717	158	4	has	have	AUX
easat-3717	158	5	been	be	AUX
easat-3717	158	6	pre	pre	VERB
easat-3717	158	7	-	-	VERB
easat-3717	158	8	processed	processed	ADJ
easat-3717	158	9	,	,	PUNCT
easat-3717	158	10	it	it	PRON
easat-3717	158	11	is	be	AUX
easat-3717	158	12	used	use	VERB
easat-3717	158	13	to	to	PART
easat-3717	158	14	extract	extract	VERB
easat-3717	158	15	features	feature	NOUN
easat-3717	158	16	.	.	PUNCT
easat-3717	159	1	temporal	temporal	ADJ
easat-3717	159	2	feature	feature	NOUN
easat-3717	159	3	extraction	extraction	NOUN
easat-3717	159	4	,	,	PUNCT
easat-3717	159	5	statistical	statistical	ADJ
easat-3717	159	6	and	and	CCONJ
easat-3717	159	7	spatial	spatial	ADJ
easat-3717	159	8	techniques	technique	NOUN
easat-3717	159	9	are	be	AUX
easat-3717	159	10	used	use	VERB
easat-3717	159	11	to	to	PART
easat-3717	159	12	extract	extract	VERB
easat-3717	159	13	important	important	ADJ
easat-3717	159	14	characteristics	characteristic	NOUN
easat-3717	159	15	from	from	ADP
easat-3717	159	16	the	the	DET
easat-3717	159	17	data	datum	NOUN
easat-3717	159	18	.	.	PUNCT
easat-3717	160	1	to	to	PART
easat-3717	160	2	optimize	optimize	VERB
easat-3717	160	3	the	the	DET
easat-3717	160	4	featureselectionprocess	featureselectionprocess	NOUN
easat-3717	160	5	,	,	PUNCT
easat-3717	160	6	eachfeatureisindividuallyoptimizedthroughthenewlydevelopedwalrusoptimizat	eachfeatureisindividuallyoptimizedthroughthenewlydevelopedwalrusoptimizat	ADJ
easat-3717	160	7	ion	ion	NOUN
easat-3717	160	8	algorithm.onceoptimalfeaturesareobtained	algorithm.onceoptimalfeaturesareobtaine	VERB
easat-3717	160	9	,	,	PUNCT
easat-3717	160	10	theyareinputtedintoanensemble7884	theyareinputtedintoanensemble7884	PROPN
easat-3717	160	11	edelweiss	edelweiss	PROPN
easat-3717	160	12	applied	apply	VERB
easat-3717	160	13	science	science	NOUN
easat-3717	160	14	and	and	CCONJ
easat-3717	160	15	technology	technology	NOUN
easat-3717	160	16	issn	issn	PROPN
easat-3717	160	17	:	:	PUNCT
easat-3717	160	18	2576	2576	NUM
easat-3717	160	19	-	-	SYM
easat-3717	160	20	8484	8484	NUM
easat-3717	160	21	vol	vol	NOUN
easat-3717	160	22	.	.	PROPN
easat-3717	160	23	8	8	NUM
easat-3717	160	24	,	,	PUNCT
easat-3717	160	25	no	no	INTJ
easat-3717	160	26	.	.	NOUN
easat-3717	160	27	6	6	NUM
easat-3717	160	28	:	:	PUNCT
easat-3717	160	29	7878	7878	NUM
easat-3717	160	30	-	-	SYM
easat-3717	160	31	7901	7901	NUM
easat-3717	160	32	,	,	PUNCT
easat-3717	160	33	2024	2024	NUM
easat-3717	160	34	doi	doi	NOUN
easat-3717	160	35	:	:	PUNCT
easat-3717	160	36	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	160	37	©	©	PROPN
easat-3717	160	38	2024	2024	NUM
easat-3717	160	39	by	by	ADP
easat-3717	160	40	the	the	DET
easat-3717	160	41	authors	author	NOUN
easat-3717	160	42	;	;	PUNCT
easat-3717	160	43	licensee	licensee	PROPN
easat-3717	160	44	learning	learn	VERB
easat-3717	160	45	gate	gate	NOUN
easat-3717	160	46	basedpredictionmodelforclassifying	basedpredictionmodelforclassifye	VERB
easat-3717	160	47	network	network	NOUN
easat-3717	160	48	traffic	traffic	NOUN
easat-3717	160	49	data	datum	NOUN
easat-3717	160	50	,	,	PUNCT
easat-3717	160	51	ultimately	ultimately	ADV
easat-3717	160	52	facilitating	facilitate	VERB
easat-3717	160	53	the	the	DET
easat-3717	160	54	prediction	prediction	NOUN
easat-3717	160	55	of	of	ADP
easat-3717	160	56	quality	quality	NOUN
easat-3717	160	57	of	of	ADP
easat-3717	160	58	service	service	NOUN
easat-3717	160	59	.	.	PUNCT
easat-3717	161	1	the	the	DET
easat-3717	161	2	ensemble	ensemble	ADJ
easat-3717	161	3	prediction	prediction	NOUN
easat-3717	161	4	incorporatesfunctionalitiesfromgru	incorporatesfunctionalitiesfromgru	NOUN
easat-3717	161	5	,	,	PUNCT
easat-3717	161	6	lstm	lstm	ADJ
easat-3717	161	7	,	,	PUNCT
easat-3717	161	8	andrandomforest.everypredictionapproach’shyperparameters	andrandomforest.everypredictionapproach’shyperparameter	NOUN
easat-3717	161	9	are	be	AUX
easat-3717	161	10	adjusted	adjust	VERB
easat-3717	161	11	by	by	ADP
easat-3717	161	12	the	the	DET
easat-3717	161	13	use	use	NOUN
easat-3717	161	14	of	of	ADP
easat-3717	161	15	the	the	DET
easat-3717	161	16	walrus	walrus	PROPN
easat-3717	161	17	optimisation	optimisation	NOUN
easat-3717	161	18	algorithm	algorithm	NOUN
easat-3717	161	19	.	.	PUNCT
easat-3717	162	1	this	this	PRON
easat-3717	162	2	suggested	suggest	VERB
easat-3717	162	3	methodology	methodology	PROPN
easat-3717	162	4	’s	’s	PART
easat-3717	162	5	examination	examination	NOUN
easat-3717	162	6	shows	show	VERB
easat-3717	162	7	that	that	SCONJ
easat-3717	162	8	it	it	PRON
easat-3717	162	9	has	have	VERB
easat-3717	162	10	a	a	DET
easat-3717	162	11	high	high	ADJ
easat-3717	162	12	degree	degree	NOUN
easat-3717	162	13	of	of	ADP
easat-3717	162	14	accuracy	accuracy	NOUN
easat-3717	162	15	when	when	SCONJ
easat-3717	162	16	forecasting	forecast	VERB
easat-3717	162	17	the	the	DET
easat-3717	162	18	network	network	NOUN
easat-3717	162	19	traffic	traffic	NOUN
easat-3717	162	20	’s	’s	PART
easat-3717	162	21	quality	quality	NOUN
easat-3717	162	22	of	of	ADP
easat-3717	162	23	service	service	NOUN
easat-3717	162	24	.	.	PUNCT
easat-3717	163	1	the	the	DET
easat-3717	163	2	integration	integration	NOUN
easat-3717	163	3	of	of	ADP
easat-3717	163	4	advancedoptimizationtechniquesenhancestheefficiencyoffeatureselectionandmodeltuning	advancedoptimizationtechniquesenhancestheefficiencyoffeatureselectionandmodeltune	VERB
easat-3717	163	5	,	,	PUNCT
easat-3717	163	6	contributingt	contributingt	NOUN
easat-3717	163	7	othe	othe	VERB
easat-3717	163	8	overall	overall	ADJ
easat-3717	163	9	effectiveness	effectiveness	NOUN
easat-3717	163	10	of	of	ADP
easat-3717	163	11	the	the	DET
easat-3717	163	12	predictivemodel	predictivemodel	NOUN
easat-3717	163	13	.	.	PUNCT
easat-3717	164	1	4.1	4.1	NUM
easat-3717	164	2	.	.	PUNCT
easat-3717	165	1	dataset	dataset	ADJ
easat-3717	165	2	description	description	NOUN
easat-3717	165	3	the	the	DET
easat-3717	165	4	network	network	NOUN
easat-3717	165	5	traffic	traffic	NOUN
easat-3717	165	6	in	in	ADP
easat-3717	165	7	the	the	DET
easat-3717	165	8	dataset	dataset	NOUN
easat-3717	165	9	was	be	AUX
easat-3717	165	10	collected	collect	VERB
easat-3717	165	11	in	in	ADP
easat-3717	165	12	an	an	DET
easat-3717	165	13	authentic	authentic	ADJ
easat-3717	165	14	cellular	cellular	ADJ
easat-3717	165	15	environment	environment	NOUN
easat-3717	165	16	in	in	ADP
easat-3717	165	17	and	and	CCONJ
easat-3717	165	18	around	around	ADP
easat-3717	165	19	salerno	salerno	PROPN
easat-3717	165	20	,	,	PUNCT
easat-3717	165	21	italy	italy	PROPN
easat-3717	165	22	,	,	PUNCT
easat-3717	165	23	which	which	PRON
easat-3717	165	24	is	be	AUX
easat-3717	165	25	categorized	categorize	VERB
easat-3717	165	26	as	as	ADP
easat-3717	165	27	a	a	DET
easat-3717	165	28	medium	medium	ADJ
easat-3717	165	29	-	-	PUNCT
easat-3717	165	30	density	density	NOUN
easat-3717	165	31	city	city	NOUN
easat-3717	165	32	(	(	PUNCT
easat-3717	165	33	around	around	ADV
easat-3717	165	34	2000	2000	NUM
easat-3717	165	35	people	people	NOUN
easat-3717	165	36	/	/	SYM
easat-3717	165	37	km2	km2	PROPN
easat-3717	165	38	)	)	PUNCT
easat-3717	165	39	.	.	PUNCT
easat-3717	166	1	as	as	ADP
easat-3717	166	2	of	of	ADP
easat-3717	166	3	march	march	PROPN
easat-3717	166	4	2023	2023	NUM
easat-3717	166	5	,	,	PUNCT
easat-3717	166	6	over	over	ADP
easat-3717	166	7	100	100	NUM
easat-3717	166	8	radio	radio	NOUN
easat-3717	166	9	towers	tower	NOUN
easat-3717	166	10	covering	cover	VERB
easat-3717	166	11	a	a	DET
easat-3717	166	12	combination	combination	NOUN
easat-3717	166	13	of	of	ADP
easat-3717	166	14	lte	lte	PROPN
easat-3717	166	15	/	/	SYM
easat-3717	166	16	lte	lte	PROPN
easat-3717	166	17	-	-	PUNCT
easat-3717	166	18	advanced	advanced	ADJ
easat-3717	166	19	(	(	PUNCT
easat-3717	166	20	roughly	roughly	ADV
easat-3717	166	21	97	97	NUM
easat-3717	166	22	%	%	NOUN
easat-3717	166	23	)	)	PUNCT
easat-3717	166	24	and	and	CCONJ
easat-3717	166	25	5g	5g	NUM
easat-3717	166	26	-	-	PUNCT
easat-3717	166	27	nsa	nsa	NOUN
easat-3717	166	28	(	(	PUNCT
easat-3717	166	29	roughly	roughly	ADV
easat-3717	166	30	3	3	NUM
easat-3717	166	31	%	%	NOUN
easat-3717	166	32	)	)	PUNCT
easat-3717	166	33	technologies	technology	NOUN
easat-3717	166	34	service	service	VERB
easat-3717	166	35	this	this	DET
easat-3717	166	36	region	region	NOUN
easat-3717	166	37	(	(	PUNCT
easat-3717	166	38	information	information	NOUN
easat-3717	166	39	obtained	obtain	VERB
easat-3717	166	40	from	from	ADP
easat-3717	166	41	https://www.nperf.com/en/map/it/	https://www.nperf.com/en/map/it/	PROPN
easat-3717	166	42	)	)	PUNCT
easat-3717	166	43	.	.	PUNCT
easat-3717	167	1	4.1.1	4.1.1	X
easat-3717	167	2	.	.	PUNCT
easat-3717	168	1	data	data	PROPN
easat-3717	168	2	pre	pre	ADJ
easat-3717	168	3	-	-	ADJ
easat-3717	168	4	processing	processing	ADJ
easat-3717	168	5	theinitialstageoftheproposedmodelinvolvestheutilizationofapreprocessingtechniqueappliedtothecollected	theinitialstageoftheproposedmodelinvolvestheutilizationofapreprocessingtechniqueappliedtothecollecte	VERB
easat-3717	168	6	network	network	NOUN
easat-3717	168	7	traffic	traffic	NOUN
easat-3717	168	8	data	datum	NOUN
easat-3717	168	9	,	,	PUNCT
easat-3717	168	10	denoted	denote	VERB
easat-3717	168	11	as	as	ADP
easat-3717	168	12	az	az	PROPN
easat-3717	168	13	.	.	PUNCT
easat-3717	169	1	this	this	DET
easat-3717	169	2	technique	technique	NOUN
easat-3717	169	3	aims	aim	VERB
easat-3717	169	4	to	to	PART
easat-3717	169	5	eliminate	eliminate	VERB
easat-3717	169	6	unnecessary	unnecessary	ADJ
easat-3717	169	7	attributes	attribute	NOUN
easat-3717	169	8	,	,	PUNCT
easat-3717	169	9	thereby	thereby	ADV
easat-3717	169	10	improving	improve	VERB
easat-3717	169	11	overall	overall	ADJ
easat-3717	169	12	performance	performance	NOUN
easat-3717	169	13	.	.	PUNCT
easat-3717	170	1	common	common	ADJ
easat-3717	170	2	issues	issue	NOUN
easat-3717	170	3	addressed	address	VERB
easat-3717	170	4	during	during	ADP
easat-3717	170	5	pre	pre	ADJ
easat-3717	170	6	-	-	ADJ
easat-3717	170	7	processing	processing	NOUN
easat-3717	170	8	include	include	VERB
easat-3717	170	9	outliers	outlier	NOUN
easat-3717	170	10	,	,	PUNCT
easat-3717	170	11	missing	miss	VERB
easat-3717	170	12	values	value	NOUN
easat-3717	170	13	and	and	CCONJ
easat-3717	170	14	redundant	redundant	ADJ
easat-3717	170	15	data	datum	NOUN
easat-3717	170	16	.	.	PUNCT
easat-3717	171	1	the	the	DET
easat-3717	171	2	enhancement	enhancement	NOUN
easat-3717	171	3	of	of	ADP
easat-3717	171	4	model	model	NOUN
easat-3717	171	5	accuracy	accuracy	NOUN
easat-3717	171	6	is	be	AUX
easat-3717	171	7	achieved	achieve	VERB
easat-3717	171	8	through	through	ADP
easat-3717	171	9	data	datum	NOUN
easat-3717	171	10	imputation	imputation	NOUN
easat-3717	171	11	,	,	PUNCT
easat-3717	171	12	data	datum	NOUN
easat-3717	171	13	cleansing	cleansing	NOUN
easat-3717	171	14	,	,	PUNCT
easat-3717	171	15	and	and	CCONJ
easat-3717	171	16	data	datum	NOUN
easat-3717	171	17	transformation	transformation	NOUN
easat-3717	171	18	.	.	PUNCT
easat-3717	172	1	•	•	NUM
easat-3717	172	2	dataimputation	dataimputation	NOUN
easat-3717	172	3	:	:	PUNCT
easat-3717	172	4	in	in	ADP
easat-3717	172	5	order	order	NOUN
easat-3717	172	6	to	to	PART
easat-3717	172	7	deal	deal	VERB
easat-3717	172	8	with	with	ADP
easat-3717	172	9	missing	miss	VERB
easat-3717	172	10	values	value	NOUN
easat-3717	172	11	in	in	ADP
easat-3717	172	12	the	the	DET
easat-3717	172	13	input	input	NOUN
easat-3717	172	14	data	data	PROPN
easat-3717	172	15	az	az	PROPN
easat-3717	172	16	,	,	PUNCT
easat-3717	172	17	data	datum	NOUN
easat-3717	172	18	imputation	imputation	NOUN
easat-3717	172	19	is	be	AUX
easat-3717	172	20	used	use	VERB
easat-3717	172	21	.	.	PUNCT
easat-3717	173	1	data	datum	NOUN
easat-3717	173	2	points	point	NOUN
easat-3717	173	3	that	that	PRON
easat-3717	173	4	are	be	AUX
easat-3717	173	5	missing	miss	VERB
easat-3717	173	6	are	be	AUX
easat-3717	173	7	substituted	substitute	VERB
easat-3717	173	8	with	with	ADP
easat-3717	173	9	comparable	comparable	ADJ
easat-3717	173	10	values	value	NOUN
easat-3717	173	11	,	,	PUNCT
easat-3717	173	12	such	such	ADJ
easat-3717	173	13	zero	zero	NUM
easat-3717	173	14	or	or	CCONJ
easat-3717	173	15	the	the	DET
easat-3717	173	16	sample	sample	NOUN
easat-3717	173	17	mean	mean	VERB
easat-3717	173	18	.	.	PUNCT
easat-3717	174	1	as	as	ADP
easat-3717	174	2	an	an	DET
easat-3717	174	3	alternative	alternative	NOUN
easat-3717	174	4	,	,	PUNCT
easat-3717	174	5	imputation	imputation	NOUN
easat-3717	174	6	might	might	AUX
easat-3717	174	7	include	include	VERB
easat-3717	174	8	giving	give	VERB
easat-3717	174	9	the	the	DET
easat-3717	174	10	missing	miss	VERB
easat-3717	174	11	data	datum	NOUN
easat-3717	174	12	the	the	DET
easat-3717	174	13	closest	close	ADJ
easat-3717	174	14	value	value	NOUN
easat-3717	174	15	,	,	PUNCT
easat-3717	174	16	with	with	ADP
easat-3717	174	17	the	the	DET
easat-3717	174	18	imputed	impute	VERB
easat-3717	174	19	data	datum	NOUN
easat-3717	174	20	being	be	AUX
easat-3717	174	21	shown	show	VERB
easat-3717	174	22	as	as	ADP
easat-3717	174	23	imp	imp	PROPN
easat-3717	174	24	za	za	PROPN
easat-3717	174	25	.	.	PUNCT
easat-3717	175	1	•	•	NUM
easat-3717	175	2	datacleansing	datacleansing	ADJ
easat-3717	175	3	:	:	PUNCT
easat-3717	175	4	data	datum	NOUN
easat-3717	175	5	cleansing	cleansing	NOUN
easat-3717	175	6	is	be	AUX
easat-3717	175	7	a	a	DET
easat-3717	175	8	technique	technique	NOUN
easat-3717	175	9	designed	design	VERB
easat-3717	175	10	to	to	PART
easat-3717	175	11	identify	identify	VERB
easat-3717	175	12	and	and	CCONJ
easat-3717	175	13	eliminate	eliminate	VERB
easat-3717	175	14	errors	error	NOUN
easat-3717	175	15	and	and	CCONJ
easat-3717	175	16	inconsistencies	inconsistency	NOUN
easat-3717	175	17	in	in	ADP
easat-3717	175	18	the	the	DET
easat-3717	175	19	imputed	impute	VERB
easat-3717	175	20	data	datum	NOUN
easat-3717	175	21	imp	imp	PROPN
easat-3717	175	22	za	za	PROPN
easat-3717	175	23	.	.	PUNCT
easat-3717	176	1	input	input	NOUN
easat-3717	176	2	data	datum	NOUN
easat-3717	176	3	often	often	ADV
easat-3717	176	4	contain	contain	VERB
easat-3717	176	5	noise	noise	NOUN
easat-3717	176	6	,	,	PUNCT
easat-3717	176	7	outliers	outlier	NOUN
easat-3717	176	8	,	,	PUNCT
easat-3717	176	9	unwanted	unwanted	ADJ
easat-3717	176	10	attributes	attribute	NOUN
easat-3717	176	11	,	,	PUNCT
easat-3717	176	12	and	and	CCONJ
easat-3717	176	13	irrelevant	irrelevant	ADJ
easat-3717	176	14	information	information	NOUN
easat-3717	176	15	.	.	PUNCT
easat-3717	177	1	the	the	DET
easat-3717	177	2	presence	presence	NOUN
easat-3717	177	3	of	of	ADP
easat-3717	177	4	such	such	ADJ
easat-3717	177	5	elements	element	NOUN
easat-3717	177	6	can	can	AUX
easat-3717	177	7	lead	lead	VERB
easat-3717	177	8	to	to	ADP
easat-3717	177	9	increased	increase	VERB
easat-3717	177	10	computational	computational	ADJ
easat-3717	177	11	time	time	NOUN
easat-3717	177	12	and	and	CCONJ
easat-3717	177	13	errors	error	NOUN
easat-3717	177	14	in	in	ADP
easat-3717	177	15	analysis	analysis	NOUN
easat-3717	177	16	.	.	PUNCT
easat-3717	178	1	data	datum	NOUN
easat-3717	178	2	cleansing	cleanse	VERB
easat-3717	178	3	resolves	resolve	NOUN
easat-3717	178	4	these	these	DET
easat-3717	178	5	issues	issue	NOUN
easat-3717	178	6	by	by	ADP
easat-3717	178	7	removing	remove	VERB
easat-3717	178	8	redundant	redundant	ADJ
easat-3717	178	9	data	datum	NOUN
easat-3717	178	10	,	,	PUNCT
easat-3717	178	11	enhancing	enhance	VERB
easat-3717	178	12	performance	performance	NOUN
easat-3717	178	13	accuracy	accuracy	NOUN
easat-3717	178	14	,	,	PUNCT
easat-3717	178	15	and	and	CCONJ
easat-3717	178	16	reducing	reduce	VERB
easat-3717	178	17	computation	computation	NOUN
easat-3717	178	18	time	time	NOUN
easat-3717	178	19	.	.	PUNCT
easat-3717	179	1	the	the	DET
easat-3717	179	2	resulting	result	VERB
easat-3717	179	3	cleansed	cleanse	VERB
easat-3717	179	4	data	datum	NOUN
easat-3717	179	5	is	be	AUX
easat-3717	179	6	denoted	denote	VERB
easat-3717	179	7	as	as	ADP
easat-3717	179	8	cle	cle	NOUN
easat-3717	179	9	za	za	PROPN
easat-3717	179	10	.	.	PUNCT
easat-3717	180	1	•	•	NUM
easat-3717	180	2	datatransformation	datatransformation	NOUN
easat-3717	180	3	:	:	PUNCT
easat-3717	180	4	the	the	DET
easat-3717	180	5	transformed	transform	VERB
easat-3717	180	6	data	datum	NOUN
easat-3717	180	7	,	,	PUNCT
easat-3717	180	8	denoted	denote	VERB
easat-3717	180	9	as	as	ADP
easat-3717	180	10	cle	cle	NOUN
easat-3717	180	11	za	za	PROPN
easat-3717	180	12	,	,	PUNCT
easat-3717	180	13	undergoes	undergo	VERB
easat-3717	180	14	data	datum	NOUN
easat-3717	180	15	transformation	transformation	NOUN
easat-3717	180	16	through	through	ADP
easat-3717	180	17	normalization	normalization	NOUN
easat-3717	180	18	and	and	CCONJ
easat-3717	180	19	aggregation	aggregation	NOUN
easat-3717	180	20	.	.	PUNCT
easat-3717	181	1	given	give	VERB
easat-3717	181	2	that	that	DET
easat-3717	181	3	ambient	ambient	ADJ
easat-3717	181	4	data	datum	NOUN
easat-3717	181	5	encompasses	encompass	VERB
easat-3717	181	6	various	various	ADJ
easat-3717	181	7	particle	particle	NOUN
easat-3717	181	8	types	type	NOUN
easat-3717	181	9	(	(	PUNCT
easat-3717	181	10	solid	solid	ADJ
easat-3717	181	11	,	,	PUNCT
easat-3717	181	12	liquid	liquid	ADJ
easat-3717	181	13	,	,	PUNCT
easat-3717	181	14	gas	gas	NOUN
easat-3717	181	15	)	)	PUNCT
easat-3717	181	16	,	,	PUNCT
easat-3717	181	17	data	datum	NOUN
easat-3717	181	18	transformation	transformation	NOUN
easat-3717	181	19	plays	play	VERB
easat-3717	181	20	a	a	DET
easat-3717	181	21	crucial	crucial	ADJ
easat-3717	181	22	role	role	NOUN
easat-3717	181	23	in	in	ADP
easat-3717	181	24	converting	convert	VERB
easat-3717	181	25	one	one	NUM
easat-3717	181	26	format	format	NOUN
easat-3717	181	27	into	into	ADP
easat-3717	181	28	another	another	PRON
easat-3717	181	29	.	.	PUNCT
easat-3717	182	1	this	this	DET
easat-3717	182	2	transformation	transformation	NOUN
easat-3717	182	3	facilitates	facilitate	VERB
easat-3717	182	4	easier	easy	ADJ
easat-3717	182	5	prediction	prediction	NOUN
easat-3717	182	6	of	of	ADP
easat-3717	182	7	air	air	NOUN
easat-3717	182	8	quality	quality	NOUN
easat-3717	182	9	and	and	CCONJ
easat-3717	182	10	enhances	enhance	VERB
easat-3717	182	11	performance	performance	NOUN
easat-3717	182	12	analysis	analysis	NOUN
easat-3717	182	13	.	.	PUNCT
easat-3717	183	1	the	the	DET
easat-3717	183	2	outcome	outcome	NOUN
easat-3717	183	3	of	of	ADP
easat-3717	183	4	data	datum	NOUN
easat-3717	183	5	transformation	transformation	NOUN
easat-3717	183	6	is	be	AUX
easat-3717	183	7	denoted	denote	VERB
easat-3717	183	8	as	as	ADP
easat-3717	183	9	tra	tra	PROPN
easat-3717	183	10	za	za	PROPN
easat-3717	183	11	.	.	PUNCT
easat-3717	184	1	the	the	DET
easat-3717	184	2	culmination	culmination	NOUN
easat-3717	184	3	of	of	ADP
easat-3717	184	4	the	the	DET
easat-3717	184	5	pre	pre	ADJ
easat-3717	184	6	-	-	ADJ
easat-3717	184	7	processing	processing	ADJ
easat-3717	184	8	steps	step	NOUN
easat-3717	184	9	yields	yield	VERB
easat-3717	184	10	the	the	DET
easat-3717	184	11	final	final	ADJ
easat-3717	184	12	pre	pre	ADJ
easat-3717	184	13	-	-	ADJ
easat-3717	184	14	processed	processed	ADJ
easat-3717	184	15	data	datum	NOUN
easat-3717	184	16	,	,	PUNCT
easat-3717	184	17	denoted	denote	VERB
easat-3717	184	18	as	as	ADP
easat-3717	184	19	tra	tra	PROPN
easat-3717	184	20	za	za	PROPN
easat-3717	184	21	.	.	PUNCT
easat-3717	185	1	this	this	DET
easat-3717	185	2	refined	refined	ADJ
easat-3717	185	3	data	data	NOUN
easat-3717	185	4	is	be	AUX
easat-3717	185	5	then	then	ADV
easat-3717	185	6	forwarded	forward	VERB
easat-3717	185	7	to	to	ADP
easat-3717	185	8	the	the	DET
easat-3717	185	9	feature	feature	NOUN
easat-3717	185	10	extraction	extraction	NOUN
easat-3717	185	11	stage	stage	NOUN
easat-3717	185	12	,	,	PUNCT
easat-3717	185	13	contributing	contribute	VERB
easat-3717	185	14	to	to	ADP
easat-3717	185	15	the	the	DET
easat-3717	185	16	subsequent	subsequent	ADJ
easat-3717	185	17	phases	phase	NOUN
easat-3717	185	18	of	of	ADP
easat-3717	185	19	the	the	DET
easat-3717	185	20	proposed	propose	VERB
easat-3717	185	21	model	model	NOUN
easat-3717	185	22	.	.	PUNCT
easat-3717	186	1	4.2	4.2	NUM
easat-3717	186	2	.	.	PUNCT
easat-3717	187	1	feature	feature	NOUN
easat-3717	187	2	selection	selection	NOUN
easat-3717	187	3	and	and	CCONJ
easat-3717	187	4	feature	feature	NOUN
easat-3717	187	5	extraction	extraction	NOUN
easat-3717	187	6	using	use	VERB
easat-3717	187	7	an	an	DET
easat-3717	187	8	improved	improved	ADJ
easat-3717	187	9	optimization	optimization	NOUN
easat-3717	187	10	algorithm	algorithm	NOUN
easat-3717	187	11	4.2.1	4.2.1	NUM
easat-3717	187	12	.	.	PUNCT
easat-3717	188	1	feature	feature	NOUN
easat-3717	188	2	extraction	extraction	NOUN
easat-3717	188	3	in	in	ADP
easat-3717	188	4	the	the	DET
easat-3717	188	5	proposed	propose	VERB
easat-3717	188	6	model	model	NOUN
easat-3717	188	7	,	,	PUNCT
easat-3717	188	8	the	the	DET
easat-3717	188	9	identification	identification	NOUN
easat-3717	188	10	of	of	ADP
easat-3717	188	11	specific	specific	ADJ
easat-3717	188	12	attributes	attribute	NOUN
easat-3717	188	13	from	from	ADP
easat-3717	188	14	the	the	DET
easat-3717	188	15	pre	pre	ADJ
easat-3717	188	16	-	-	ADJ
easat-3717	188	17	processed	processed	ADJ
easat-3717	188	18	data	datum	NOUN
easat-3717	188	19	,	,	PUNCT
easat-3717	188	20	denoted	denote	VERB
easat-3717	188	21	https://www.nperf.com/en/map/it/	https://www.nperf.com/en/map/it/	PROPN
easat-3717	188	22	7885	7885	NUM
easat-3717	188	23	edelweiss	edelweiss	PROPN
easat-3717	188	24	applied	apply	VERB
easat-3717	188	25	science	science	NOUN
easat-3717	188	26	and	and	CCONJ
easat-3717	188	27	technology	technology	NOUN
easat-3717	188	28	issn	issn	PROPN
easat-3717	188	29	:	:	PUNCT
easat-3717	188	30	2576	2576	NUM
easat-3717	188	31	-	-	SYM
easat-3717	188	32	8484	8484	NUM
easat-3717	188	33	vol	vol	NOUN
easat-3717	188	34	.	.	PROPN
easat-3717	189	1	8	8	NUM
easat-3717	189	2	,	,	PUNCT
easat-3717	189	3	no	no	INTJ
easat-3717	189	4	.	.	NOUN
easat-3717	189	5	6	6	NUM
easat-3717	189	6	:	:	PUNCT
easat-3717	189	7	7878	7878	NUM
easat-3717	189	8	-	-	SYM
easat-3717	189	9	7901	7901	NUM
easat-3717	189	10	,	,	PUNCT
easat-3717	189	11	2024	2024	NUM
easat-3717	189	12	doi	doi	NOUN
easat-3717	189	13	:	:	PUNCT
easat-3717	189	14	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	189	15	©	©	PROPN
easat-3717	189	16	2024	2024	NUM
easat-3717	189	17	by	by	ADP
easat-3717	189	18	the	the	DET
easat-3717	189	19	authors	author	NOUN
easat-3717	189	20	;	;	PUNCT
easat-3717	189	21	licensee	licensee	PROPN
easat-3717	189	22	learning	learning	NOUN
easat-3717	189	23	gate	gate	NOUN
easat-3717	189	24	as	as	ADP
easat-3717	189	25	tra	tra	PROPN
easat-3717	189	26	za	za	PROPN
easat-3717	189	27	,	,	PUNCT
easat-3717	189	28	is	be	AUX
easat-3717	189	29	essential	essential	ADJ
easat-3717	189	30	.	.	PUNCT
easat-3717	190	1	the	the	DET
easat-3717	190	2	primary	primary	ADJ
easat-3717	190	3	aim	aim	NOUN
easat-3717	190	4	of	of	ADP
easat-3717	190	5	feature	feature	NOUN
easat-3717	190	6	extraction	extraction	NOUN
easat-3717	190	7	is	be	AUX
easat-3717	190	8	to	to	PART
easat-3717	190	9	enhance	enhance	VERB
easat-3717	190	10	prediction	prediction	NOUN
easat-3717	190	11	analysis	analysis	NOUN
easat-3717	190	12	and	and	CCONJ
easat-3717	190	13	address	address	NOUN
easat-3717	190	14	overfitting	overfitte	VERB
easat-3717	190	15	challenges	challenge	NOUN
easat-3717	190	16	,	,	PUNCT
easat-3717	190	17	especially	especially	ADV
easat-3717	190	18	when	when	SCONJ
easat-3717	190	19	dealing	deal	VERB
easat-3717	190	20	with	with	ADP
easat-3717	190	21	substantial	substantial	ADJ
easat-3717	190	22	data	datum	NOUN
easat-3717	190	23	volumes	volume	NOUN
easat-3717	190	24	,	,	PUNCT
easat-3717	190	25	ultimately	ultimately	ADV
easat-3717	190	26	reducing	reduce	VERB
easat-3717	190	27	training	training	NOUN
easat-3717	190	28	time	time	NOUN
easat-3717	190	29	.	.	PUNCT
easat-3717	191	1	to	to	PART
easat-3717	191	2	achieve	achieve	VERB
easat-3717	191	3	this	this	PRON
easat-3717	191	4	,	,	PUNCT
easat-3717	191	5	optimal	optimal	ADJ
easat-3717	191	6	features	feature	NOUN
easat-3717	191	7	are	be	AUX
easat-3717	191	8	extracted	extract	VERB
easat-3717	191	9	using	use	VERB
easat-3717	191	10	three	three	NUM
easat-3717	191	11	distinct	distinct	ADJ
easat-3717	191	12	techniques	technique	NOUN
easat-3717	191	13	:	:	PUNCT
easat-3717	191	14	statistical	statistical	ADJ
easat-3717	191	15	features	feature	NOUN
easat-3717	191	16	,	,	PUNCT
easat-3717	191	17	spatial	spatial	ADJ
easat-3717	191	18	features	feature	NOUN
easat-3717	191	19	,	,	PUNCT
easat-3717	191	20	and	and	CCONJ
easat-3717	191	21	temporal	temporal	ADJ
easat-3717	191	22	features	feature	NOUN
easat-3717	191	23	.	.	PUNCT
easat-3717	192	1	•	•	NUM
easat-3717	192	2	statistical	statistical	ADJ
easat-3717	192	3	features	feature	NOUN
easat-3717	192	4	:	:	PUNCT
easat-3717	192	5	this	this	DET
easat-3717	192	6	process	process	NOUN
easat-3717	192	7	involves	involve	VERB
easat-3717	192	8	extracting	extract	VERB
easat-3717	192	9	key	key	ADJ
easat-3717	192	10	features	feature	NOUN
easat-3717	192	11	by	by	ADP
easat-3717	192	12	analyzing	analyze	VERB
easat-3717	192	13	data	datum	NOUN
easat-3717	192	14	related	relate	VERB
easat-3717	192	15	to	to	ADP
easat-3717	192	16	network	network	NOUN
easat-3717	192	17	traffic	traffic	NOUN
easat-3717	192	18	.	.	PUNCT
easat-3717	193	1	essential	essential	ADJ
easat-3717	193	2	statistical	statistical	ADJ
easat-3717	193	3	metricsarecomputed	metricsarecompute	VERB
easat-3717	193	4	,	,	PUNCT
easat-3717	193	5	includingminimumandmaximumlevelsofnetworktraffic	includingminimumandmaximumlevelsofnetworktraffic	NOUN
easat-3717	193	6	,	,	PUNCT
easat-3717	193	7	mean	mean	ADJ
easat-3717	193	8	,	,	PUNCT
easat-3717	193	9	median	median	NOUN
easat-3717	193	10	,	,	PUNCT
easat-3717	193	11	andmodevalu	andmodevalu	NOUN
easat-3717	193	12	es	es	NOUN
easat-3717	193	13	across	across	ADP
easat-3717	193	14	all	all	DET
easat-3717	193	15	data	datum	NOUN
easat-3717	193	16	points	point	NOUN
easat-3717	193	17	,	,	PUNCT
easat-3717	193	18	as	as	ADV
easat-3717	193	19	well	well	ADV
easat-3717	193	20	as	as	ADP
easat-3717	193	21	the	the	DET
easat-3717	193	22	variance	variance	NOUN
easat-3717	193	23	and	and	CCONJ
easat-3717	193	24	standard	standard	ADJ
easat-3717	193	25	deviation	deviation	NOUN
easat-3717	193	26	of	of	ADP
easat-3717	193	27	network	network	NOUN
easat-3717	193	28	trafficdata	trafficdata	NOUN
easat-3717	193	29	.	.	PUNCT
easat-3717	194	1	•	•	NUM
easat-3717	194	2	spatial	spatial	ADJ
easat-3717	194	3	features	feature	NOUN
easat-3717	194	4	:	:	PUNCT
easat-3717	194	5	spatial	spatial	ADJ
easat-3717	194	6	features	feature	NOUN
easat-3717	194	7	provide	provide	VERB
easat-3717	194	8	insights	insight	NOUN
easat-3717	194	9	into	into	ADP
easat-3717	194	10	the	the	DET
easat-3717	194	11	geographical	geographical	ADJ
easat-3717	194	12	locations	location	NOUN
easat-3717	194	13	associated	associate	VERB
easat-3717	194	14	with	with	ADP
easat-3717	194	15	network	network	NOUN
easat-3717	194	16	traffic	traffic	NOUN
easat-3717	194	17	data	datum	NOUN
easat-3717	194	18	.	.	PUNCT
easat-3717	195	1	in	in	ADP
easat-3717	195	2	the	the	DET
easat-3717	195	3	context	context	NOUN
easat-3717	195	4	of	of	ADP
easat-3717	195	5	the	the	DET
easat-3717	195	6	pre	pre	ADJ
easat-3717	195	7	-	-	ADJ
easat-3717	195	8	processed	process	VERB
easat-3717	195	9	data	datum	NOUN
easat-3717	195	10	tra	tra	PROPN
easat-3717	195	11	za	za	PROPN
easat-3717	195	12	,	,	PUNCT
easat-3717	195	13	spatial	spatial	ADJ
easat-3717	195	14	information	information	NOUN
easat-3717	195	15	related	relate	VERB
easat-3717	195	16	to	to	ADP
easat-3717	195	17	network	network	NOUN
easat-3717	195	18	activity	activity	NOUN
easat-3717	195	19	can	can	AUX
easat-3717	195	20	be	be	AUX
easat-3717	195	21	discerned	discern	VERB
easat-3717	195	22	.	.	PUNCT
easat-3717	196	1	this	this	PRON
easat-3717	196	2	entails	entail	VERB
easat-3717	196	3	converting	convert	VERB
easat-3717	196	4	spatial	spatial	ADJ
easat-3717	196	5	data	datum	NOUN
easat-3717	196	6	into	into	ADP
easat-3717	196	7	numerical	numerical	ADJ
easat-3717	196	8	values	value	NOUN
easat-3717	196	9	organized	organize	VERB
easat-3717	196	10	in	in	ADP
easat-3717	196	11	a	a	DET
easat-3717	196	12	grid	grid	NOUN
easat-3717	196	13	format	format	NOUN
easat-3717	196	14	.	.	PUNCT
easat-3717	197	1	the	the	DET
easat-3717	197	2	process	process	NOUN
easat-3717	197	3	begins	begin	VERB
easat-3717	197	4	by	by	ADP
easat-3717	197	5	establishing	establish	VERB
easat-3717	197	6	a	a	DET
easat-3717	197	7	buffer	buffer	NOUN
easat-3717	197	8	zone	zone	NOUN
easat-3717	197	9	around	around	ADP
easat-3717	197	10	grid	grid	NOUN
easat-3717	197	11	center	center	NOUN
easat-3717	197	12	points	point	NOUN
easat-3717	197	13	,	,	PUNCT
easat-3717	197	14	followed	follow	VERB
easat-3717	197	15	by	by	ADP
easat-3717	197	16	clipping	clip	VERB
easat-3717	197	17	the	the	DET
easat-3717	197	18	information	information	NOUN
easat-3717	197	19	within	within	ADP
easat-3717	197	20	these	these	DET
easat-3717	197	21	zones	zone	NOUN
easat-3717	197	22	.	.	PUNCT
easat-3717	198	1	•	•	X
easat-3717	198	2	temporal	temporal	ADJ
easat-3717	198	3	features	feature	NOUN
easat-3717	198	4	:	:	PUNCT
easat-3717	198	5	temporalfeaturescaptureinformationrelatedtothetimingandsequenceofnetworktraffic.analyzingtem	temporalfeaturescaptureinformationrelatedtothetimingandsequenceofnetworktraffic.analyzingtem	NOUN
easat-3717	198	6	poralpatternsinvolvesextractingfeaturessuchastimestamps	poralpatternsinvolvesextractingfeaturessuchastimestamp	NOUN
easat-3717	198	7	,	,	PUNCT
easat-3717	198	8	frequencies	frequency	NOUN
easat-3717	198	9	,	,	PUNCT
easat-3717	198	10	andintervalsbetweenevents	andintervalsbetweenevent	NOUN
easat-3717	198	11	.	.	PUNCT
easat-3717	199	1	these	these	DET
easat-3717	199	2	three	three	NUM
easat-3717	199	3	feature	feature	NOUN
easat-3717	199	4	extraction	extraction	NOUN
easat-3717	199	5	techniques	technique	NOUN
easat-3717	199	6	collectively	collectively	ADV
easat-3717	199	7	contribute	contribute	VERB
easat-3717	199	8	to	to	ADP
easat-3717	199	9	a	a	DET
easat-3717	199	10	comprehensive	comprehensive	ADJ
easat-3717	199	11	understanding	understanding	NOUN
easat-3717	199	12	ofnetwork	ofnetwork	NOUN
easat-3717	199	13	trafficqualityofservice	trafficqualityofservice	PROPN
easat-3717	199	14	,	,	PUNCT
easat-3717	199	15	fosteringimprovedpredictionaccuracyandreducedoverfittingchallengesintheprop	fosteringimprovedpredictionaccuracyandreducedoverfittingchallengesintheprop	VERB
easat-3717	199	16	osed	osed	ADJ
easat-3717	199	17	model	model	NOUN
easat-3717	199	18	.	.	PUNCT
easat-3717	200	1	4.3	4.3	NUM
easat-3717	200	2	.	.	PUNCT
easat-3717	200	3	feature	feature	NOUN
easat-3717	200	4	selection	selection	NOUN
easat-3717	200	5	a	a	DET
easat-3717	200	6	weighted	weight	VERB
easat-3717	200	7	feature	feature	NOUN
easat-3717	200	8	selection	selection	NOUN
easat-3717	200	9	procedure	procedure	NOUN
easat-3717	200	10	is	be	AUX
easat-3717	200	11	used	use	VERB
easat-3717	200	12	,	,	PUNCT
easat-3717	200	13	which	which	PRON
easat-3717	200	14	is	be	AUX
easat-3717	200	15	especially	especially	ADV
easat-3717	200	16	designed	design	VERB
easat-3717	200	17	for	for	ADP
easat-3717	200	18	the	the	DET
easat-3717	200	19	context	context	NOUN
easat-3717	200	20	of	of	ADP
easat-3717	200	21	network	network	NOUN
easat-3717	200	22	traffic	traffic	NOUN
easat-3717	200	23	quality	quality	NOUN
easat-3717	200	24	of	of	ADP
easat-3717	200	25	service	service	NOUN
easat-3717	200	26	,	,	PUNCT
easat-3717	200	27	to	to	PART
easat-3717	200	28	improve	improve	VERB
easat-3717	200	29	forecast	forecast	NOUN
easat-3717	200	30	accuracy	accuracy	NOUN
easat-3717	200	31	.	.	PUNCT
easat-3717	201	1	the	the	DET
easat-3717	201	2	features	feature	NOUN
easat-3717	201	3	extracted	extract	VERB
easat-3717	201	4	,	,	PUNCT
easat-3717	201	5	denoted	denote	VERB
easat-3717	201	6	as	as	ADP
easat-3717	201	7	fefz	fefz	ADJ
easat-3717	201	8	,	,	PUNCT
easat-3717	201	9	are	be	AUX
easat-3717	201	10	inputted	inputte	VERB
easat-3717	201	11	into	into	ADP
easat-3717	201	12	the	the	DET
easat-3717	201	13	walrus	walrus	PROPN
easat-3717	201	14	optimization	optimization	NOUN
easat-3717	201	15	algorithm	algorithm	PROPN
easat-3717	201	16	to	to	PART
easat-3717	201	17	derive	derive	VERB
easat-3717	201	18	the	the	DET
easat-3717	201	19	optimal	optimal	ADJ
easat-3717	201	20	solution	solution	NOUN
easat-3717	201	21	for	for	ADP
easat-3717	201	22	service	service	NOUN
easat-3717	201	23	-	-	PUNCT
easat-3717	201	24	related	relate	VERB
easat-3717	201	25	features	feature	NOUN
easat-3717	201	26	.	.	PUNCT
easat-3717	202	1	feature	feature	NOUN
easat-3717	202	2	selection	selection	NOUN
easat-3717	202	3	holds	hold	VERB
easat-3717	202	4	the	the	DET
easat-3717	202	5	key	key	ADJ
easat-3717	202	6	advantage	advantage	NOUN
easat-3717	202	7	of	of	ADP
easat-3717	202	8	providing	provide	VERB
easat-3717	202	9	highly	highly	ADV
easat-3717	202	10	relevant	relevant	ADJ
easat-3717	202	11	results	result	NOUN
easat-3717	202	12	aligned	align	VERB
easat-3717	202	13	with	with	ADP
easat-3717	202	14	the	the	DET
easat-3717	202	15	model	model	NOUN
easat-3717	202	16	's	's	PART
easat-3717	202	17	requirements	requirement	NOUN
easat-3717	202	18	while	while	SCONJ
easat-3717	202	19	concurrently	concurrently	ADV
easat-3717	202	20	streamlining	streamline	VERB
easat-3717	202	21	the	the	DET
easat-3717	202	22	complexity	complexity	NOUN
easat-3717	202	23	of	of	ADP
easat-3717	202	24	training	training	NOUN
easat-3717	202	25	and	and	CCONJ
easat-3717	202	26	testing	testing	NOUN
easat-3717	202	27	in	in	ADP
easat-3717	202	28	prediction	prediction	NOUN
easat-3717	202	29	techniques	technique	NOUN
easat-3717	202	30	.	.	PUNCT
easat-3717	203	1	despite	despite	SCONJ
easat-3717	203	2	these	these	DET
easat-3717	203	3	advantages	advantage	NOUN
easat-3717	203	4	,	,	PUNCT
easat-3717	203	5	relying	rely	VERB
easat-3717	203	6	solely	solely	ADV
easat-3717	203	7	on	on	ADP
easat-3717	203	8	feature	feature	NOUN
easat-3717	203	9	selection	selection	NOUN
easat-3717	203	10	may	may	AUX
easat-3717	203	11	not	not	PART
easat-3717	203	12	consistently	consistently	ADV
easat-3717	203	13	yield	yield	VERB
easat-3717	203	14	desired	desire	VERB
easat-3717	203	15	outcomes	outcome	NOUN
easat-3717	203	16	for	for	ADP
easat-3717	203	17	the	the	DET
easat-3717	203	18	model	model	NOUN
easat-3717	203	19	,	,	PUNCT
easat-3717	203	20	potentially	potentially	ADV
easat-3717	203	21	introducing	introduce	VERB
easat-3717	203	22	overfitting	overfitte	VERB
easat-3717	203	23	issues	issue	NOUN
easat-3717	203	24	and	and	CCONJ
easat-3717	203	25	compromising	compromise	VERB
easat-3717	203	26	accuracy	accuracy	NOUN
easat-3717	203	27	,	,	PUNCT
easat-3717	203	28	even	even	ADV
easat-3717	203	29	with	with	ADP
easat-3717	203	30	the	the	DET
easat-3717	203	31	removal	removal	NOUN
easat-3717	203	32	of	of	ADP
easat-3717	203	33	redundancy	redundancy	NOUN
easat-3717	203	34	.	.	PUNCT
easat-3717	204	1	the	the	DET
easat-3717	204	2	weighted	weight	VERB
easat-3717	204	3	feature	feature	NOUN
easat-3717	204	4	selection	selection	NOUN
easat-3717	204	5	process	process	NOUN
easat-3717	204	6	involves	involve	VERB
easat-3717	204	7	assigning	assign	VERB
easat-3717	204	8	weights	weight	NOUN
easat-3717	204	9	to	to	ADP
easat-3717	204	10	each	each	DET
easat-3717	204	11	corresponding	corresponding	ADJ
easat-3717	204	12	feature	feature	NOUN
easat-3717	204	13	.	.	PUNCT
easat-3717	205	1	by	by	ADP
easat-3717	205	2	assigning	assign	VERB
easat-3717	205	3	weights	weight	NOUN
easat-3717	205	4	,	,	PUNCT
easat-3717	205	5	the	the	DET
easat-3717	205	6	relative	relative	ADJ
easat-3717	205	7	significance	significance	NOUN
easat-3717	205	8	of	of	ADP
easat-3717	205	9	each	each	DET
easat-3717	205	10	feature	feature	NOUN
easat-3717	205	11	becomes	become	VERB
easat-3717	205	12	apparent	apparent	ADJ
easat-3717	205	13	,	,	PUNCT
easat-3717	205	14	allowing	allow	VERB
easat-3717	205	15	the	the	DET
easat-3717	205	16	proposed	propose	VERB
easat-3717	205	17	model	model	NOUN
easat-3717	205	18	to	to	PART
easat-3717	205	19	discern	discern	VERB
easat-3717	205	20	the	the	DET
easat-3717	205	21	importance	importance	NOUN
easat-3717	205	22	of	of	ADP
easat-3717	205	23	individual	individual	ADJ
easat-3717	205	24	features	feature	NOUN
easat-3717	205	25	.	.	PUNCT
easat-3717	206	1	this	this	DET
easat-3717	206	2	weighting	weighting	NOUN
easat-3717	206	3	mechanism	mechanism	NOUN
easat-3717	206	4	is	be	AUX
easat-3717	206	5	especially	especially	ADV
easat-3717	206	6	pertinent	pertinent	ADJ
easat-3717	206	7	in	in	ADP
easat-3717	206	8	the	the	DET
easat-3717	206	9	context	context	NOUN
easat-3717	206	10	of	of	ADP
easat-3717	206	11	quality	quality	NOUN
easat-3717	206	12	of	of	ADP
easat-3717	206	13	service	service	NOUN
easat-3717	206	14	in	in	ADP
easat-3717	206	15	network	network	NOUN
easat-3717	206	16	traffic	traffic	NOUN
easat-3717	206	17	,	,	PUNCT
easat-3717	206	18	enabling	enable	VERB
easat-3717	206	19	the	the	DET
easat-3717	206	20	model	model	NOUN
easat-3717	206	21	to	to	PART
easat-3717	206	22	effectively	effectively	ADV
easat-3717	206	23	analyze	analyze	VERB
easat-3717	206	24	and	and	CCONJ
easat-3717	206	25	prioritize	prioritize	VERB
easat-3717	206	26	features	feature	NOUN
easat-3717	206	27	associated	associate	VERB
easat-3717	206	28	with	with	ADP
easat-3717	206	29	network	network	NOUN
easat-3717	206	30	performance	performance	NOUN
easat-3717	206	31	.	.	PUNCT
easat-3717	207	1	through	through	ADP
easat-3717	207	2	this	this	DET
easat-3717	207	3	tailored	tailor	VERB
easat-3717	207	4	weighted	weight	VERB
easat-3717	207	5	feature	feature	NOUN
easat-3717	207	6	selection	selection	NOUN
easat-3717	207	7	process	process	NOUN
easat-3717	207	8	,	,	PUNCT
easat-3717	207	9	the	the	DET
easat-3717	207	10	proposed	propose	VERB
easat-3717	207	11	model	model	NOUN
easat-3717	207	12	aims	aim	VERB
easat-3717	207	13	to	to	PART
easat-3717	207	14	enhance	enhance	VERB
easat-3717	207	15	predictive	predictive	ADJ
easat-3717	207	16	accuracy	accuracy	NOUN
easat-3717	207	17	while	while	SCONJ
easat-3717	207	18	maintaining	maintain	VERB
easat-3717	207	19	a	a	DET
easat-3717	207	20	keen	keen	ADJ
easat-3717	207	21	focus	focus	NOUN
easat-3717	207	22	on	on	ADP
easat-3717	207	23	features	feature	NOUN
easat-3717	207	24	critical	critical	ADJ
easat-3717	207	25	to	to	ADP
easat-3717	207	26	assessing	assess	VERB
easat-3717	207	27	and	and	CCONJ
easat-3717	207	28	predicting	predict	VERB
easat-3717	207	29	the	the	DET
easat-3717	207	30	quality	quality	NOUN
easat-3717	207	31	of	of	ADP
easat-3717	207	32	service	service	NOUN
easat-3717	207	33	in	in	ADP
easat-3717	207	34	network	network	NOUN
easat-3717	207	35	traffic	traffic	NOUN
easat-3717	207	36	.	.	PUNCT
easat-3717	208	1	7886	7886	NUM
easat-3717	208	2	edelweiss	edelweiss	PROPN
easat-3717	208	3	applied	apply	VERB
easat-3717	208	4	science	science	NOUN
easat-3717	208	5	and	and	CCONJ
easat-3717	208	6	technology	technology	NOUN
easat-3717	208	7	issn	issn	PROPN
easat-3717	208	8	:	:	PUNCT
easat-3717	208	9	2576	2576	NUM
easat-3717	208	10	-	-	SYM
easat-3717	208	11	8484	8484	NUM
easat-3717	208	12	vol	vol	NOUN
easat-3717	208	13	.	.	PROPN
easat-3717	208	14	8	8	NUM
easat-3717	208	15	,	,	PUNCT
easat-3717	208	16	no	no	INTJ
easat-3717	208	17	.	.	NOUN
easat-3717	208	18	6	6	NUM
easat-3717	208	19	:	:	PUNCT
easat-3717	208	20	7878	7878	NUM
easat-3717	208	21	-	-	SYM
easat-3717	208	22	7901	7901	NUM
easat-3717	208	23	,	,	PUNCT
easat-3717	208	24	2024	2024	NUM
easat-3717	208	25	doi	doi	NOUN
easat-3717	208	26	:	:	PUNCT
easat-3717	208	27	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	208	28	©	©	PROPN
easat-3717	208	29	2024	2024	NUM
easat-3717	208	30	by	by	ADP
easat-3717	208	31	the	the	DET
easat-3717	208	32	authors	author	NOUN
easat-3717	208	33	;	;	PUNCT
easat-3717	209	1	licensee	licensee	PROPN
easat-3717	209	2	learning	learn	VERB
easat-3717	209	3	gate	gate	NOUN
easat-3717	209	4	figure	figure	NOUN
easat-3717	209	5	2	2	NUM
easat-3717	209	6	.	.	PUNCT
easat-3717	209	7	weighted	weight	VERB
easat-3717	209	8	feature	feature	NOUN
easat-3717	209	9	selection	selection	NOUN
easat-3717	209	10	using	use	VERB
easat-3717	209	11	the	the	DET
easat-3717	209	12	proposed	propose	VERB
easat-3717	209	13	walrus	walrus	PROPN
easat-3717	209	14	optimization	optimization	NOUN
easat-3717	209	15	.	.	PUNCT
easat-3717	210	1	4.4	4.4	NUM
easat-3717	210	2	.	.	PUNCT
easat-3717	210	3	ensemble	ensemble	ADJ
easat-3717	210	4	-	-	PUNCT
easat-3717	210	5	based	base	VERB
easat-3717	210	6	prediction	prediction	NOUN
easat-3717	210	7	of	of	ADP
easat-3717	210	8	service	service	NOUN
easat-3717	210	9	quality	quality	NOUN
easat-3717	210	10	4.4.1	4.4.1	NUM
easat-3717	210	11	.	.	PUNCT
easat-3717	211	1	integration	integration	NOUN
easat-3717	211	2	of	of	ADP
easat-3717	211	3	models	model	NOUN
easat-3717	211	4	in	in	ADP
easat-3717	211	5	essence	essence	NOUN
easat-3717	211	6	,	,	PUNCT
easat-3717	211	7	the	the	DET
easat-3717	211	8	ensemble	ensemble	ADJ
easat-3717	211	9	model	model	NOUN
easat-3717	211	10	is	be	AUX
easat-3717	211	11	a	a	DET
easat-3717	211	12	fusion	fusion	NOUN
easat-3717	211	13	of	of	ADP
easat-3717	211	14	various	various	ADJ
easat-3717	211	15	deep	deep	ADJ
easat-3717	211	16	learning	learning	NOUN
easat-3717	211	17	techniques	technique	NOUN
easat-3717	211	18	aimed	aim	VERB
easat-3717	211	19	at	at	ADP
easat-3717	211	20	enhancing	enhance	VERB
easat-3717	211	21	performance	performance	NOUN
easat-3717	211	22	.	.	PUNCT
easat-3717	212	1	this	this	DET
easat-3717	212	2	paper	paper	NOUN
easat-3717	212	3	incorporates	incorporate	VERB
easat-3717	212	4	learning	learn	VERB
easat-3717	212	5	techniques	technique	NOUN
easat-3717	212	6	such	such	ADJ
easat-3717	212	7	as	as	ADP
easat-3717	212	8	gru	gru	PROPN
easat-3717	212	9	,	,	PUNCT
easat-3717	212	10	lstm	lstm	ADJ
easat-3717	212	11	,	,	PUNCT
easat-3717	212	12	and	and	CCONJ
easat-3717	212	13	random	random	ADJ
easat-3717	212	14	forest	forest	NOUN
easat-3717	212	15	to	to	PART
easat-3717	212	16	construct	construct	VERB
easat-3717	212	17	the	the	DET
easat-3717	212	18	ensemble	ensemble	ADJ
easat-3717	212	19	model	model	NOUN
easat-3717	212	20	.	.	PUNCT
easat-3717	213	1	these	these	DET
easat-3717	213	2	techniques	technique	NOUN
easat-3717	213	3	function	function	VERB
easat-3717	213	4	as	as	ADP
easat-3717	213	5	neural	neural	ADJ
easat-3717	213	6	networks	network	NOUN
easat-3717	213	7	,	,	PUNCT
easat-3717	213	8	with	with	ADP
easat-3717	213	9	neurons	neuron	NOUN
easat-3717	213	10	capable	capable	ADJ
easat-3717	213	11	of	of	ADP
easat-3717	213	12	classifying	classify	VERB
easat-3717	213	13	features	feature	NOUN
easat-3717	213	14	that	that	PRON
easat-3717	213	15	yield	yield	VERB
easat-3717	213	16	results	result	NOUN
easat-3717	213	17	in	in	ADP
easat-3717	213	18	terms	term	NOUN
easat-3717	213	19	of	of	ADP
easat-3717	213	20	quality	quality	NOUN
easat-3717	213	21	of	of	ADP
easat-3717	213	22	service	service	NOUN
easat-3717	213	23	(	(	PUNCT
easat-3717	213	24	qos	qos	PROPN
easat-3717	213	25	)	)	PUNCT
easat-3717	213	26	.	.	PUNCT
easat-3717	214	1	the	the	DET
easat-3717	214	2	service	service	NOUN
easat-3717	214	3	quality	quality	NOUN
easat-3717	214	4	prediction	prediction	NOUN
easat-3717	214	5	model	model	NOUN
easat-3717	214	6	that	that	PRON
easat-3717	214	7	is	be	AUX
easat-3717	214	8	built	build	VERB
easat-3717	214	9	is	be	AUX
easat-3717	214	10	improved	improve	VERB
easat-3717	214	11	even	even	ADV
easat-3717	214	12	more	more	ADV
easat-3717	214	13	when	when	SCONJ
easat-3717	214	14	the	the	DET
easat-3717	214	15	ensemble	ensemble	ADJ
easat-3717	214	16	techniques	technique	NOUN
easat-3717	214	17	are	be	AUX
easat-3717	214	18	combined	combine	VERB
easat-3717	214	19	with	with	ADP
easat-3717	214	20	different	different	ADJ
easat-3717	214	21	architectures	architecture	NOUN
easat-3717	214	22	to	to	PART
easat-3717	214	23	evaluate	evaluate	VERB
easat-3717	214	24	the	the	DET
easat-3717	214	25	ensemble	ensemble	ADJ
easat-3717	214	26	model	model	NOUN
easat-3717	214	27	's	's	PART
easat-3717	214	28	results	result	NOUN
easat-3717	214	29	.	.	PUNCT
easat-3717	215	1	by	by	ADP
easat-3717	215	2	means	mean	NOUN
easat-3717	215	3	of	of	ADP
easat-3717	215	4	this	this	DET
easat-3717	215	5	integration	integration	NOUN
easat-3717	215	6	,	,	PUNCT
easat-3717	215	7	data	datum	NOUN
easat-3717	215	8	imbalance	imbalance	NOUN
easat-3717	215	9	is	be	AUX
easat-3717	215	10	lessened	lessen	VERB
easat-3717	215	11	and	and	CCONJ
easat-3717	215	12	data	datum	NOUN
easat-3717	215	13	distribution	distribution	NOUN
easat-3717	215	14	is	be	AUX
easat-3717	215	15	adjusted	adjust	VERB
easat-3717	215	16	.	.	PUNCT
easat-3717	216	1	the	the	DET
easat-3717	216	2	proposed	propose	VERB
easat-3717	216	3	method	method	NOUN
easat-3717	216	4	's	's	PART
easat-3717	216	5	sensitivity	sensitivity	NOUN
easat-3717	216	6	may	may	AUX
easat-3717	216	7	be	be	AUX
easat-3717	216	8	increased	increase	VERB
easat-3717	216	9	in	in	ADP
easat-3717	216	10	large	large	ADJ
easat-3717	216	11	part	part	NOUN
easat-3717	216	12	by	by	ADP
easat-3717	216	13	altering	alter	VERB
easat-3717	216	14	the	the	DET
easat-3717	216	15	learning	learning	NOUN
easat-3717	216	16	process	process	NOUN
easat-3717	216	17	.	.	PUNCT
easat-3717	217	1	this	this	DET
easat-3717	217	2	adjustment	adjustment	NOUN
easat-3717	217	3	is	be	AUX
easat-3717	217	4	used	use	VERB
easat-3717	217	5	to	to	PART
easat-3717	217	6	improve	improve	VERB
easat-3717	217	7	the	the	DET
easat-3717	217	8	method	method	NOUN
easat-3717	217	9	's	's	PART
easat-3717	217	10	overall	overall	ADJ
easat-3717	217	11	performance	performance	NOUN
easat-3717	217	12	,	,	PUNCT
easat-3717	217	13	and	and	CCONJ
easat-3717	217	14	the	the	DET
easat-3717	217	15	deep	deep	ADJ
easat-3717	217	16	learning	learning	NOUN
easat-3717	217	17	algorithms	algorithm	NOUN
easat-3717	217	18	that	that	PRON
easat-3717	217	19	are	be	AUX
easat-3717	217	20	included	include	VERB
easat-3717	217	21	provide	provide	VERB
easat-3717	217	22	a	a	DET
easat-3717	217	23	series	series	NOUN
easat-3717	217	24	of	of	ADP
easat-3717	217	25	models	model	NOUN
easat-3717	217	26	for	for	ADP
easat-3717	217	27	the	the	DET
easat-3717	217	28	training	training	NOUN
easat-3717	217	29	and	and	CCONJ
easat-3717	217	30	testing	testing	NOUN
easat-3717	217	31	phases	phase	NOUN
easat-3717	217	32	.	.	PUNCT
easat-3717	218	1	the	the	DET
easat-3717	218	2	collective	collective	ADJ
easat-3717	218	3	effect	effect	NOUN
easat-3717	218	4	is	be	AUX
easat-3717	218	5	a	a	DET
easat-3717	218	6	significant	significant	ADJ
easat-3717	218	7	enhancement	enhancement	NOUN
easat-3717	218	8	in	in	ADP
easat-3717	218	9	prediction	prediction	NOUN
easat-3717	218	10	performance	performance	NOUN
easat-3717	218	11	,	,	PUNCT
easat-3717	218	12	highlighting	highlight	VERB
easat-3717	218	13	the	the	DET
easat-3717	218	14	efficacy	efficacy	NOUN
easat-3717	218	15	of	of	ADP
easat-3717	218	16	the	the	DET
easat-3717	218	17	integrated	integrate	VERB
easat-3717	218	18	ensemble	ensemble	ADJ
easat-3717	218	19	model	model	NOUN
easat-3717	218	20	in	in	ADP
easat-3717	218	21	predicting	predict	VERB
easat-3717	218	22	service	service	NOUN
easat-3717	218	23	quality	quality	NOUN
easat-3717	218	24	.	.	PUNCT
easat-3717	219	1	table	table	NOUN
easat-3717	219	2	1	1	NUM
easat-3717	219	3	infinity	infinity	NOUN
easat-3717	219	4	-	-	PUNCT
easat-3717	219	5	norm	norm	NOUN
easat-3717	219	6	.	.	PUNCT
easat-3717	220	1	learning	learn	VERB
easat-3717	220	2	percentage	percentage	NOUN
easat-3717	220	3	%	%	NOUN
easat-3717	220	4	infinity	infinity	NOUN
easat-3717	220	5	-	-	PUNCT
easat-3717	220	6	norm	norm	NOUN
easat-3717	220	7	pso	pso	NOUN
easat-3717	220	8	40	40	NUM
easat-3717	220	9	394.009966	394.009966	NUM
easat-3717	220	10	50	50	NUM
easat-3717	220	11	345.2708443	345.2708443	NUM
easat-3717	220	12	60	60	NUM
easat-3717	220	13	495.5452311	495.5452311	NUM
easat-3717	220	14	70	70	NUM
easat-3717	220	15	330.6683094	330.6683094	NUM
easat-3717	220	16	80	80	NUM
easat-3717	220	17	398.6523619	398.6523619	NUM
easat-3717	220	18	gwo	gwo	NOUN
easat-3717	220	19	40	40	NUM
easat-3717	220	20	409.8211039	409.8211039	NUM
easat-3717	220	21	50	50	NUM
easat-3717	220	22	425.7688473	425.7688473	NUM
easat-3717	220	23	60	60	NUM
easat-3717	220	24	385.9458468	385.9458468	NUM
easat-3717	220	25	70	70	NUM
easat-3717	220	26	434.518189	434.518189	NUM
easat-3717	220	27	80	80	NUM
easat-3717	220	28	407.6381574	407.6381574	NUM
easat-3717	220	29	jaya	jaya	NOUN
easat-3717	220	30	40	40	NUM
easat-3717	220	31	495.7070731	495.7070731	NUM
easat-3717	220	32	50	50	NUM
easat-3717	220	33	394.8586763	394.8586763	NUM
easat-3717	220	34	60	60	NUM
easat-3717	220	35	367.9764502	367.9764502	NUM
easat-3717	220	36	70	70	NUM
easat-3717	220	37	399.3035701	399.3035701	NUM
easat-3717	220	38	80	80	NUM
easat-3717	220	39	418.7756282	418.7756282	NUM
easat-3717	220	40	rsa	rsa	NOUN
easat-3717	220	41	40	40	NUM
easat-3717	220	42	416.6497379	416.6497379	NUM
easat-3717	220	43	50	50	NUM
easat-3717	220	44	416.0627179	416.0627179	NUM
easat-3717	220	45	60	60	NUM
easat-3717	220	46	350.3669463	350.3669463	NUM
easat-3717	220	47	7887	7887	NUM
easat-3717	220	48	edelweiss	edelweiss	PROPN
easat-3717	220	49	applied	apply	VERB
easat-3717	220	50	science	science	NOUN
easat-3717	220	51	and	and	CCONJ
easat-3717	220	52	technology	technology	NOUN
easat-3717	220	53	issn	issn	PROPN
easat-3717	220	54	:	:	PUNCT
easat-3717	220	55	2576	2576	NUM
easat-3717	220	56	-	-	SYM
easat-3717	220	57	8484	8484	NUM
easat-3717	220	58	vol	vol	NOUN
easat-3717	220	59	.	.	PROPN
easat-3717	220	60	8	8	NUM
easat-3717	220	61	,	,	PUNCT
easat-3717	220	62	no	no	INTJ
easat-3717	220	63	.	.	NOUN
easat-3717	220	64	6	6	NUM
easat-3717	220	65	:	:	PUNCT
easat-3717	220	66	7878	7878	NUM
easat-3717	220	67	-	-	SYM
easat-3717	220	68	7901	7901	NUM
easat-3717	220	69	,	,	PUNCT
easat-3717	220	70	2024	2024	NUM
easat-3717	220	71	doi	doi	NOUN
easat-3717	220	72	:	:	PUNCT
easat-3717	220	73	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	220	74	©	©	PROPN
easat-3717	220	75	2024	2024	NUM
easat-3717	220	76	by	by	ADP
easat-3717	220	77	the	the	DET
easat-3717	220	78	authors	author	NOUN
easat-3717	220	79	;	;	PUNCT
easat-3717	220	80	licensee	licensee	PROPN
easat-3717	220	81	learning	learning	NOUN
easat-3717	220	82	gate	gate	VERB
easat-3717	220	83	70	70	NUM
easat-3717	220	84	384.2094745	384.2094745	NUM
easat-3717	220	85	80	80	NUM
easat-3717	220	86	377.4521606	377.4521606	NUM
easat-3717	220	87	woa	woa	VERB
easat-3717	220	88	40	40	NUM
easat-3717	220	89	431.0240482	431.0240482	NUM
easat-3717	220	90	50	50	NUM
easat-3717	220	91	376.1744319	376.1744319	NUM
easat-3717	220	92	60	60	NUM
easat-3717	220	93	410.0180573	410.0180573	NUM
easat-3717	220	94	70	70	NUM
easat-3717	220	95	391.0386571	391.0386571	NUM
easat-3717	220	96	80	80	NUM
easat-3717	220	97	365.9498596	365.9498596	NUM
easat-3717	220	98	5	5	NUM
easat-3717	220	99	.	.	PUNCT
easat-3717	220	100	results	result	NOUN
easat-3717	220	101	based	base	VERB
easat-3717	220	102	on	on	ADP
easat-3717	220	103	the	the	DET
easat-3717	220	104	findings	finding	NOUN
easat-3717	220	105	from	from	ADP
easat-3717	220	106	the	the	DET
easat-3717	220	107	infinity	infinity	NOUN
easat-3717	220	108	-	-	PUNCT
easat-3717	220	109	norm	norm	NOUN
easat-3717	220	110	table	table	NOUN
easat-3717	220	111	,	,	PUNCT
easat-3717	220	112	which	which	PRON
easat-3717	220	113	compares	compare	VERB
easat-3717	220	114	the	the	DET
easat-3717	220	115	performance	performance	NOUN
easat-3717	220	116	of	of	ADP
easat-3717	220	117	several	several	ADJ
easat-3717	220	118	optimization	optimization	NOUN
easat-3717	220	119	algorithms	algorithm	NOUN
easat-3717	220	120	at	at	ADP
easat-3717	220	121	various	various	ADJ
easat-3717	220	122	learning	learning	NOUN
easat-3717	220	123	percentages	percentage	NOUN
easat-3717	220	124	(	(	PUNCT
easat-3717	220	125	40	40	NUM
easat-3717	220	126	%	%	NOUN
easat-3717	220	127	,	,	PUNCT
easat-3717	220	128	50	50	NUM
easat-3717	220	129	%	%	NOUN
easat-3717	220	130	,	,	PUNCT
easat-3717	220	131	60	60	NUM
easat-3717	220	132	%	%	NOUN
easat-3717	220	133	,	,	PUNCT
easat-3717	220	134	70	70	NUM
easat-3717	220	135	%	%	NOUN
easat-3717	220	136	,	,	PUNCT
easat-3717	220	137	and	and	CCONJ
easat-3717	220	138	80	80	NUM
easat-3717	220	139	%	%	NOUN
easat-3717	220	140	)	)	PUNCT
easat-3717	220	141	,	,	PUNCT
easat-3717	220	142	we	we	PRON
easat-3717	220	143	direct	direct	VERB
easat-3717	220	144	our	our	PRON
easat-3717	220	145	attention	attention	NOUN
easat-3717	220	146	to	to	ADP
easat-3717	220	147	the	the	DET
easat-3717	220	148	walrus	walrus	PROPN
easat-3717	220	149	optimisation	optimisation	NOUN
easat-3717	220	150	algorithm	algorithm	NOUN
easat-3717	220	151	(	(	PUNCT
easat-3717	220	152	woa	woa	PROPN
easat-3717	220	153	)	)	PUNCT
easat-3717	220	154	.	.	PUNCT
easat-3717	221	1	when	when	SCONJ
easat-3717	221	2	woa	woa	NOUN
easat-3717	221	3	is	be	AUX
easat-3717	221	4	compared	compare	VERB
easat-3717	221	5	to	to	ADP
easat-3717	221	6	other	other	ADJ
easat-3717	221	7	well	well	ADV
easat-3717	221	8	-	-	PUNCT
easat-3717	221	9	known	know	VERB
easat-3717	221	10	optimization	optimization	NOUN
easat-3717	221	11	approaches	approach	NOUN
easat-3717	221	12	as	as	ADP
easat-3717	221	13	particle	particle	NOUN
easat-3717	221	14	swarm	swarm	NOUN
easat-3717	221	15	optimisation	optimisation	NOUN
easat-3717	221	16	(	(	PUNCT
easat-3717	221	17	pso	pso	NOUN
easat-3717	221	18	)	)	PUNCT
easat-3717	221	19	,	,	PUNCT
easat-3717	221	20	grey	grey	ADJ
easat-3717	221	21	wolf	wolf	PROPN
easat-3717	221	22	optimizer	optimizer	NOUN
easat-3717	221	23	(	(	PUNCT
easat-3717	221	24	gwo	gwo	PROPN
easat-3717	221	25	)	)	PUNCT
easat-3717	221	26	,	,	PUNCT
easat-3717	221	27	jaya	jaya	PROPN
easat-3717	221	28	,	,	PUNCT
easat-3717	221	29	and	and	CCONJ
easat-3717	221	30	rogue	rogue	NOUN
easat-3717	221	31	system	system	NOUN
easat-3717	221	32	algorithm	algorithm	NOUN
easat-3717	221	33	(	(	PUNCT
easat-3717	221	34	rsa	rsa	PROPN
easat-3717	221	35	)	)	PUNCT
easat-3717	221	36	,	,	PUNCT
easat-3717	221	37	a	a	DET
easat-3717	221	38	more	more	ADV
easat-3717	221	39	complex	complex	ADJ
easat-3717	221	40	picture	picture	NOUN
easat-3717	221	41	emerges	emerge	VERB
easat-3717	221	42	.	.	PUNCT
easat-3717	222	1	woa	woa	AUX
easat-3717	222	2	performs	perform	VERB
easat-3717	222	3	inconsistently	inconsistently	ADV
easat-3717	222	4	,	,	PUNCT
easat-3717	222	5	as	as	SCONJ
easat-3717	222	6	seen	see	VERB
easat-3717	222	7	by	by	ADP
easat-3717	222	8	oscillations	oscillation	NOUN
easat-3717	222	9	in	in	ADP
easat-3717	222	10	infinity	infinity	NOUN
easat-3717	222	11	-	-	PUNCT
easat-3717	222	12	norm	norm	NOUN
easat-3717	222	13	values	value	NOUN
easat-3717	222	14	,	,	PUNCT
easat-3717	222	15	demonstrating	demonstrate	VERB
easat-3717	222	16	its	its	PRON
easat-3717	222	17	flexibility	flexibility	NOUN
easat-3717	222	18	under	under	ADP
easat-3717	222	19	diverse	diverse	ADJ
easat-3717	222	20	learning	learning	NOUN
easat-3717	222	21	situations	situation	NOUN
easat-3717	222	22	.	.	PUNCT
easat-3717	223	1	in	in	ADP
easat-3717	223	2	contrast	contrast	NOUN
easat-3717	223	3	,	,	PUNCT
easat-3717	223	4	pso	pso	NOUN
easat-3717	223	5	exhibits	exhibit	VERB
easat-3717	223	6	variable	variable	ADJ
easat-3717	223	7	performance	performance	NOUN
easat-3717	223	8	with	with	ADP
easat-3717	223	9	both	both	CCONJ
easat-3717	223	10	high	high	ADJ
easat-3717	223	11	and	and	CCONJ
easat-3717	223	12	low	low	ADJ
easat-3717	223	13	infinity	infinity	NOUN
easat-3717	223	14	-	-	PUNCT
easat-3717	223	15	norm	norm	NOUN
easat-3717	223	16	values	value	NOUN
easat-3717	223	17	,	,	PUNCT
easat-3717	223	18	gwo	gwo	PROPN
easat-3717	223	19	maintains	maintain	VERB
easat-3717	223	20	relative	relative	ADJ
easat-3717	223	21	consistency	consistency	NOUN
easat-3717	223	22	,	,	PUNCT
easat-3717	223	23	while	while	SCONJ
easat-3717	223	24	jaya	jaya	PROPN
easat-3717	223	25	and	and	CCONJ
easat-3717	223	26	rsa	rsa	PROPN
easat-3717	223	27	show	show	VERB
easat-3717	223	28	a	a	DET
easat-3717	223	29	declining	decline	VERB
easat-3717	223	30	tendency	tendency	NOUN
easat-3717	223	31	in	in	ADP
easat-3717	223	32	infinity	infinity	NOUN
easat-3717	223	33	-	-	PUNCT
easat-3717	223	34	norm	norm	NOUN
easat-3717	223	35	values	value	NOUN
easat-3717	223	36	as	as	ADP
easat-3717	223	37	learning	learn	VERB
easat-3717	223	38	percentages	percentage	NOUN
easat-3717	223	39	increase	increase	VERB
easat-3717	223	40	.	.	PUNCT
easat-3717	224	1	this	this	DET
easat-3717	224	2	comparative	comparative	ADJ
easat-3717	224	3	examination	examination	NOUN
easat-3717	224	4	provides	provide	VERB
easat-3717	224	5	indepth	indepth	ADJ
easat-3717	224	6	insight	insight	NOUN
easat-3717	224	7	into	into	ADP
easat-3717	224	8	how	how	SCONJ
easat-3717	224	9	the	the	DET
easat-3717	224	10	walrus	walrus	PROPN
easat-3717	224	11	optimisation	optimisation	NOUN
easat-3717	224	12	works	work	VERB
easat-3717	224	13	.	.	PUNCT
easat-3717	225	1	and	and	CCONJ
easat-3717	225	2	also	also	ADV
easat-3717	225	3	from	from	ADP
easat-3717	225	4	this	this	DET
easat-3717	225	5	table	table	NOUN
easat-3717	225	6	we	we	PRON
easat-3717	225	7	can	can	AUX
easat-3717	225	8	observe	observe	VERB
easat-3717	225	9	that	that	SCONJ
easat-3717	225	10	the	the	DET
easat-3717	225	11	woa	woa	NOUN
easat-3717	225	12	's	's	PART
easat-3717	225	13	exploration	exploration	NOUN
easat-3717	225	14	-	-	PUNCT
easat-3717	225	15	exploitation	exploitation	NOUN
easat-3717	225	16	balancing	balancing	NOUN
easat-3717	225	17	mechanism	mechanism	NOUN
easat-3717	225	18	may	may	AUX
easat-3717	225	19	explain	explain	VERB
easat-3717	225	20	its	its	PRON
easat-3717	225	21	infinity	infinity	NOUN
easat-3717	225	22	-	-	PUNCT
easat-3717	225	23	norm	norm	NOUN
easat-3717	225	24	oscillations	oscillation	NOUN
easat-3717	225	25	,	,	PUNCT
easat-3717	225	26	which	which	PRON
easat-3717	225	27	show	show	VERB
easat-3717	225	28	its	its	PRON
easat-3717	225	29	flexibility	flexibility	NOUN
easat-3717	225	30	to	to	ADP
easat-3717	225	31	varied	varied	ADJ
easat-3717	225	32	learning	learning	NOUN
easat-3717	225	33	circumstances	circumstance	NOUN
easat-3717	225	34	.	.	PUNCT
easat-3717	226	1	table	table	NOUN
easat-3717	226	2	2	2	NUM
easat-3717	226	3	.	.	PUNCT
easat-3717	226	4	mae	mae	PROPN
easat-3717	226	5	.	.	PUNCT
easat-3717	227	1	learning	learning	PROPN
easat-3717	227	2	percentage%	percentage%	NUM
easat-3717	227	3	mae	mae	PROPN
easat-3717	227	4	pso	pso	NOUN
easat-3717	227	5	40	40	NUM
easat-3717	227	6	4.434136766	4.434136766	NUM
easat-3717	227	7	50	50	NUM
easat-3717	227	8	3.704464424	3.704464424	NUM
easat-3717	227	9	60	60	NUM
easat-3717	227	10	3.489332824	3.489332824	NUM
easat-3717	227	11	70	70	NUM
easat-3717	227	12	2.948374689	2.948374689	NUM
easat-3717	227	13	80	80	NUM
easat-3717	227	14	2.905006615	2.905006615	NUM
easat-3717	227	15	gwo	gwo	NOUN
easat-3717	227	16	40	40	NUM
easat-3717	227	17	3.742504317	3.742504317	NUM
easat-3717	227	18	50	50	NUM
easat-3717	227	19	3.523839823	3.523839823	NUM
easat-3717	227	20	60	60	NUM
easat-3717	227	21	3.38367767	3.38367767	NUM
easat-3717	227	22	70	70	NUM
easat-3717	227	23	2.860239804	2.860239804	NUM
easat-3717	227	24	80	80	NUM
easat-3717	227	25	2.742125793	2.742125793	NUM
easat-3717	227	26	jaya	jaya	NOUN
easat-3717	227	27	40	40	NUM
easat-3717	227	28	3.883502828	3.883502828	NUM
easat-3717	227	29	50	50	NUM
easat-3717	227	30	3.664809494	3.664809494	NUM
easat-3717	227	31	60	60	NUM
easat-3717	227	32	3.546695483	3.546695483	NUM
easat-3717	227	33	70	70	NUM
easat-3717	227	34	3.027713389	3.027713389	NUM
easat-3717	227	35	80	80	NUM
easat-3717	227	36	2.949153367	2.949153367	NUM
easat-3717	227	37	rsa	rsa	NOUN
easat-3717	227	38	40	40	NUM
easat-3717	227	39	3.918680356	3.918680356	NUM
easat-3717	227	40	50	50	NUM
easat-3717	227	41	3.607540565	3.607540565	NUM
easat-3717	227	42	60	60	NUM
easat-3717	227	43	3.440932179	3.440932179	NUM
easat-3717	227	44	70	70	NUM
easat-3717	227	45	3.014425382	3.014425382	NUM
easat-3717	227	46	80	80	NUM
easat-3717	227	47	2.900702253	2.900702253	NUM
easat-3717	227	48	woa	woa	VERB
easat-3717	227	49	40	40	NUM
easat-3717	227	50	3.821799757	3.821799757	NUM
easat-3717	227	51	50	50	NUM
easat-3717	227	52	3.453354987	3.453354987	NUM
easat-3717	227	53	60	60	NUM
easat-3717	227	54	2.841803867	2.841803867	NUM
easat-3717	227	55	70	70	NUM
easat-3717	227	56	2.591523578	2.591523578	NUM
easat-3717	227	57	80	80	NUM
easat-3717	227	58	2.645187514	2.645187514	NUM
easat-3717	227	59	7888	7888	NUM
easat-3717	227	60	edelweiss	edelweiss	PROPN
easat-3717	227	61	applied	apply	VERB
easat-3717	227	62	science	science	NOUN
easat-3717	227	63	and	and	CCONJ
easat-3717	227	64	technology	technology	NOUN
easat-3717	227	65	issn	issn	PROPN
easat-3717	227	66	:	:	PUNCT
easat-3717	227	67	2576	2576	NUM
easat-3717	227	68	-	-	SYM
easat-3717	227	69	8484	8484	NUM
easat-3717	227	70	vol	vol	NOUN
easat-3717	227	71	.	.	PROPN
easat-3717	228	1	8	8	NUM
easat-3717	228	2	,	,	PUNCT
easat-3717	228	3	no	no	INTJ
easat-3717	228	4	.	.	NOUN
easat-3717	228	5	6	6	NUM
easat-3717	228	6	:	:	PUNCT
easat-3717	228	7	7878	7878	NUM
easat-3717	228	8	-	-	SYM
easat-3717	228	9	7901	7901	NUM
easat-3717	228	10	,	,	PUNCT
easat-3717	228	11	2024	2024	NUM
easat-3717	228	12	doi	doi	NOUN
easat-3717	228	13	:	:	PUNCT
easat-3717	228	14	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	228	15	©	©	PROPN
easat-3717	228	16	2024	2024	NUM
easat-3717	228	17	by	by	ADP
easat-3717	228	18	the	the	DET
easat-3717	228	19	authors	author	NOUN
easat-3717	228	20	;	;	PUNCT
easat-3717	228	21	licensee	licensee	PROPN
easat-3717	228	22	learning	learning	NOUN
easat-3717	228	23	gate	gate	VERB
easat-3717	228	24	the	the	DET
easat-3717	228	25	table	table	NOUN
easat-3717	228	26	presents	present	VERB
easat-3717	228	27	the	the	DET
easat-3717	228	28	mean	mean	ADJ
easat-3717	228	29	absolute	absolute	ADJ
easat-3717	228	30	error	error	NOUN
easat-3717	228	31	(	(	PUNCT
easat-3717	228	32	mae	mae	PROPN
easat-3717	228	33	)	)	PUNCT
easat-3717	228	34	values	value	NOUN
easat-3717	228	35	for	for	ADP
easat-3717	228	36	the	the	DET
easat-3717	228	37	pso	pso	NOUN
easat-3717	228	38	,	,	PUNCT
easat-3717	228	39	gwo	gwo	PROPN
easat-3717	228	40	,	,	PUNCT
easat-3717	228	41	jaya	jaya	PROPN
easat-3717	228	42	,	,	PUNCT
easat-3717	228	43	rsa	rsa	PROPN
easat-3717	228	44	,	,	PUNCT
easat-3717	228	45	and	and	CCONJ
easat-3717	228	46	woa	woa	VERB
easat-3717	228	47	algorithms	algorithm	NOUN
easat-3717	228	48	over	over	ADP
easat-3717	228	49	different	different	ADJ
easat-3717	228	50	learning	learning	NOUN
easat-3717	228	51	percentages	percentage	NOUN
easat-3717	228	52	,	,	PUNCT
easat-3717	228	53	namely	namely	ADV
easat-3717	228	54	40	40	NUM
easat-3717	228	55	%	%	NOUN
easat-3717	228	56	,	,	PUNCT
easat-3717	228	57	50	50	NUM
easat-3717	228	58	%	%	NOUN
easat-3717	228	59	,	,	PUNCT
easat-3717	228	60	60	60	NUM
easat-3717	228	61	%	%	NOUN
easat-3717	228	62	,	,	PUNCT
easat-3717	228	63	70	70	NUM
easat-3717	228	64	%	%	NOUN
easat-3717	228	65	,	,	PUNCT
easat-3717	228	66	and	and	CCONJ
easat-3717	228	67	80	80	NUM
easat-3717	228	68	%	%	NOUN
easat-3717	228	69	.	.	PUNCT
easat-3717	229	1	the	the	DET
easat-3717	229	2	mean	mean	ADJ
easat-3717	229	3	absolute	absolute	ADJ
easat-3717	229	4	error	error	NOUN
easat-3717	229	5	(	(	PUNCT
easat-3717	229	6	mae	mae	PROPN
easat-3717	229	7	)	)	PUNCT
easat-3717	229	8	is	be	AUX
easat-3717	229	9	a	a	DET
easat-3717	229	10	metric	metric	ADJ
easat-3717	229	11	used	use	VERB
easat-3717	229	12	to	to	PART
easat-3717	229	13	assess	assess	VERB
easat-3717	229	14	the	the	DET
easat-3717	229	15	accuracy	accuracy	NOUN
easat-3717	229	16	of	of	ADP
easat-3717	229	17	predictions	prediction	NOUN
easat-3717	229	18	,	,	PUNCT
easat-3717	229	19	where	where	SCONJ
easat-3717	229	20	lower	low	ADJ
easat-3717	229	21	values	value	NOUN
easat-3717	229	22	indicate	indicate	VERB
easat-3717	229	23	higher	high	ADJ
easat-3717	229	24	performance	performance	NOUN
easat-3717	229	25	.	.	PUNCT
easat-3717	230	1	and	and	CCONJ
easat-3717	230	2	that	that	SCONJ
easat-3717	230	3	the	the	DET
easat-3717	230	4	walrus	walrus	PROPN
easat-3717	230	5	optimisation	optimisation	NOUN
easat-3717	230	6	algorithm	algorithm	NOUN
easat-3717	230	7	(	(	PUNCT
easat-3717	230	8	woa	woa	INTJ
easat-3717	230	9	)	)	PUNCT
easat-3717	230	10	has	have	VERB
easat-3717	230	11	superior	superior	ADJ
easat-3717	230	12	performance	performance	NOUN
easat-3717	230	13	compared	compare	VERB
easat-3717	230	14	to	to	ADP
easat-3717	230	15	other	other	ADJ
easat-3717	230	16	algorithms	algorithm	NOUN
easat-3717	230	17	,	,	PUNCT
easat-3717	230	18	as	as	SCONJ
easat-3717	230	19	shown	show	VERB
easat-3717	230	20	by	by	ADP
easat-3717	230	21	consistently	consistently	ADV
easat-3717	230	22	reduced	reduce	VERB
easat-3717	230	23	mean	mean	ADJ
easat-3717	230	24	absolute	absolute	ADJ
easat-3717	230	25	error	error	NOUN
easat-3717	230	26	(	(	PUNCT
easat-3717	230	27	mae	mae	PROPN
easat-3717	230	28	)	)	PUNCT
easat-3717	230	29	values	value	NOUN
easat-3717	230	30	across	across	ADP
easat-3717	230	31	all	all	PRON
easat-3717	230	32	learning	learn	VERB
easat-3717	230	33	percentages	percentage	NOUN
easat-3717	230	34	.	.	PUNCT
easat-3717	231	1	as	as	ADP
easat-3717	231	2	the	the	DET
easat-3717	231	3	proportion	proportion	NOUN
easat-3717	231	4	of	of	ADP
easat-3717	231	5	learning	learn	VERB
easat-3717	231	6	increases	increase	NOUN
easat-3717	231	7	,	,	PUNCT
easat-3717	231	8	the	the	DET
easat-3717	231	9	mean	mean	ADJ
easat-3717	231	10	absolute	absolute	ADJ
easat-3717	231	11	error	error	NOUN
easat-3717	231	12	(	(	PUNCT
easat-3717	231	13	mae	mae	PROPN
easat-3717	231	14	)	)	PUNCT
easat-3717	231	15	values	value	NOUN
easat-3717	231	16	of	of	ADP
easat-3717	231	17	woa	woa	INTJ
easat-3717	231	18	exhibit	exhibit	VERB
easat-3717	231	19	a	a	DET
easat-3717	231	20	consistent	consistent	ADJ
easat-3717	231	21	reduction	reduction	NOUN
easat-3717	231	22	,	,	PUNCT
easat-3717	231	23	indicating	indicate	VERB
easat-3717	231	24	a	a	DET
easat-3717	231	25	continuous	continuous	ADJ
easat-3717	231	26	advancement	advancement	NOUN
easat-3717	231	27	.	.	PUNCT
easat-3717	232	1	this	this	DET
easat-3717	232	2	finding	finding	NOUN
easat-3717	232	3	provides	provide	VERB
easat-3717	232	4	evidence	evidence	NOUN
easat-3717	232	5	that	that	SCONJ
easat-3717	232	6	the	the	DET
easat-3717	232	7	walrus	walrus	PROPN
easat-3717	232	8	optimisation	optimisation	NOUN
easat-3717	232	9	algorithm	algorithm	NOUN
easat-3717	232	10	effectively	effectively	ADV
easat-3717	232	11	mitigates	mitigate	VERB
easat-3717	232	12	prediction	prediction	NOUN
easat-3717	232	13	mistakes	mistake	NOUN
easat-3717	232	14	and	and	CCONJ
easat-3717	232	15	enhances	enhance	NOUN
easat-3717	232	16	accuracy	accuracy	NOUN
easat-3717	232	17	.	.	PUNCT
easat-3717	233	1	the	the	DET
easat-3717	233	2	capacity	capacity	NOUN
easat-3717	233	3	of	of	ADP
easat-3717	233	4	woa	woa	INTJ
easat-3717	233	5	to	to	PART
easat-3717	233	6	optimize	optimize	VERB
easat-3717	233	7	outcomes	outcome	NOUN
easat-3717	233	8	makes	make	VERB
easat-3717	233	9	it	it	PRON
easat-3717	233	10	a	a	DET
easat-3717	233	11	potential	potential	ADJ
easat-3717	233	12	choice	choice	NOUN
easat-3717	233	13	for	for	ADP
easat-3717	233	14	tasks	task	NOUN
easat-3717	233	15	that	that	PRON
easat-3717	233	16	need	need	VERB
easat-3717	233	17	accurate	accurate	ADJ
easat-3717	233	18	predictions	prediction	NOUN
easat-3717	233	19	and	and	CCONJ
easat-3717	233	20	minimal	minimal	ADJ
easat-3717	233	21	error	error	NOUN
easat-3717	233	22	rates	rate	NOUN
easat-3717	233	23	.	.	PUNCT
easat-3717	234	1	constant	constant	ADJ
easat-3717	234	2	mae	mae	PROPN
easat-3717	234	3	decrease	decrease	NOUN
easat-3717	234	4	with	with	ADP
easat-3717	234	5	increased	increase	VERB
easat-3717	234	6	learning	learning	NOUN
easat-3717	234	7	percentages	percentage	NOUN
easat-3717	234	8	suggests	suggest	VERB
easat-3717	234	9	it	it	PRON
easat-3717	234	10	may	may	AUX
easat-3717	234	11	enhance	enhance	VERB
easat-3717	234	12	predictions	prediction	NOUN
easat-3717	234	13	by	by	ADP
easat-3717	234	14	using	use	VERB
easat-3717	234	15	useful	useful	ADJ
easat-3717	234	16	optimization	optimization	NOUN
easat-3717	234	17	landscape	landscape	NOUN
easat-3717	234	18	characteristics	characteristic	NOUN
easat-3717	234	19	.	.	PUNCT
easat-3717	235	1	table	table	NOUN
easat-3717	235	2	3	3	NUM
easat-3717	235	3	.	.	PUNCT
easat-3717	236	1	mase	mase	PROPN
easat-3717	236	2	.	.	PUNCT
easat-3717	237	1	learning	learn	VERB
easat-3717	237	2	percentage%	percentage%	PROPN
easat-3717	237	3	mase	mase	PROPN
easat-3717	237	4	pso	pso	NOUN
easat-3717	237	5	40	40	NUM
easat-3717	237	6	4169.09	4169.09	NUM
easat-3717	237	7	50	50	NUM
easat-3717	237	8	3437.15	3437.15	NUM
easat-3717	237	9	60	60	NUM
easat-3717	237	10	3249.35	3249.35	NUM
easat-3717	237	11	70	70	NUM
easat-3717	237	12	2701.06	2701.06	NUM
easat-3717	237	13	80	80	NUM
easat-3717	237	14	2678.37	2678.37	NUM
easat-3717	237	15	gwo	gwo	NOUN
easat-3717	237	16	40	40	NUM
easat-3717	237	17	3491.13	3491.13	NUM
easat-3717	237	18	50	50	NUM
easat-3717	237	19	3276.14	3276.14	NUM
easat-3717	237	20	60	60	NUM
easat-3717	237	21	3143.31	3143.31	NUM
easat-3717	237	22	70	70	NUM
easat-3717	237	23	2616.38	2616.38	NUM
easat-3717	237	24	80	80	NUM
easat-3717	237	25	2491.9	2491.9	NUM
easat-3717	237	26	jaya	jaya	NOUN
easat-3717	237	27	40	40	NUM
easat-3717	237	28	3622.49	3622.49	NUM
easat-3717	237	29	50	50	NUM
easat-3717	237	30	3403.3	3403.3	NUM
easat-3717	237	31	60	60	NUM
easat-3717	237	32	3295.84	3295.84	NUM
easat-3717	237	33	70	70	NUM
easat-3717	237	34	2730.71	2730.71	NUM
easat-3717	237	35	80	80	NUM
easat-3717	237	36	2712.21	2712.21	NUM
easat-3717	237	37	rsa	rsa	NOUN
easat-3717	237	38	40	40	NUM
easat-3717	237	39	3656.39	3656.39	NUM
easat-3717	237	40	50	50	NUM
easat-3717	237	41	3335.53	3335.53	NUM
easat-3717	237	42	60	60	NUM
easat-3717	237	43	3211.18	3211.18	NUM
easat-3717	237	44	70	70	NUM
easat-3717	237	45	2798.51	2798.51	NUM
easat-3717	237	46	80	80	NUM
easat-3717	237	47	2652.9	2652.9	NUM
easat-3717	237	48	woa	woa	VERB
easat-3717	237	49	40	40	NUM
easat-3717	237	50	3567.43	3567.43	NUM
easat-3717	237	51	50	50	NUM
easat-3717	237	52	3233.82	3233.82	NUM
easat-3717	237	53	60	60	NUM
easat-3717	237	54	2613.61	2613.61	NUM
easat-3717	237	55	70	70	NUM
easat-3717	237	56	2328.19	2328.19	NUM
easat-3717	237	57	80	80	NUM
easat-3717	237	58	2407.14	2407.14	NUM
easat-3717	237	59	the	the	DET
easat-3717	237	60	table	table	NOUN
easat-3717	237	61	displays	display	VERB
easat-3717	237	62	the	the	DET
easat-3717	237	63	mean	mean	ADJ
easat-3717	237	64	absolute	absolute	ADJ
easat-3717	237	65	scaled	scale	VERB
easat-3717	237	66	error	error	NOUN
easat-3717	237	67	(	(	PUNCT
easat-3717	237	68	mase	mase	PROPN
easat-3717	237	69	)	)	PUNCT
easat-3717	237	70	values	value	NOUN
easat-3717	237	71	for	for	ADP
easat-3717	237	72	particle	particle	NOUN
easat-3717	237	73	swarm	swarm	NOUN
easat-3717	237	74	optimisation	optimisation	NOUN
easat-3717	237	75	(	(	PUNCT
easat-3717	237	76	pso	pso	NOUN
easat-3717	237	77	)	)	PUNCT
easat-3717	237	78	,	,	PUNCT
easat-3717	237	79	grey	grey	ADJ
easat-3717	237	80	wolf	wolf	PROPN
easat-3717	237	81	optimizer	optimizer	NOUN
easat-3717	237	82	(	(	PUNCT
easat-3717	237	83	gwo	gwo	PROPN
easat-3717	237	84	)	)	PUNCT
easat-3717	237	85	,	,	PUNCT
easat-3717	237	86	jaya	jaya	PROPN
easat-3717	237	87	,	,	PUNCT
easat-3717	237	88	random	random	ADJ
easat-3717	237	89	search	search	NOUN
easat-3717	237	90	algorithm	algorithm	NOUN
easat-3717	237	91	(	(	PUNCT
easat-3717	237	92	rsa	rsa	NOUN
easat-3717	237	93	)	)	PUNCT
easat-3717	237	94	,	,	PUNCT
easat-3717	237	95	and	and	CCONJ
easat-3717	237	96	walrus	walrus	PROPN
easat-3717	237	97	optimisation	optimisation	NOUN
easat-3717	237	98	algorithm	algorithm	NOUN
easat-3717	237	99	(	(	PUNCT
easat-3717	237	100	woa	woa	INTJ
easat-3717	237	101	)	)	PUNCT
easat-3717	237	102	at	at	ADP
easat-3717	237	103	various	various	ADJ
easat-3717	237	104	learning	learning	NOUN
easat-3717	237	105	percentages	percentage	NOUN
easat-3717	237	106	(	(	PUNCT
easat-3717	237	107	40	40	NUM
easat-3717	237	108	%	%	NOUN
easat-3717	237	109	,	,	PUNCT
easat-3717	237	110	50	50	NUM
easat-3717	237	111	%	%	NOUN
easat-3717	237	112	,	,	PUNCT
easat-3717	237	113	60	60	NUM
easat-3717	237	114	%	%	NOUN
easat-3717	237	115	,	,	PUNCT
easat-3717	237	116	70	70	NUM
easat-3717	237	117	%	%	NOUN
easat-3717	237	118	,	,	PUNCT
easat-3717	237	119	and	and	CCONJ
easat-3717	237	120	80	80	NUM
easat-3717	237	121	%	%	NOUN
easat-3717	237	122	)	)	PUNCT
easat-3717	237	123	.	.	PUNCT
easat-3717	238	1	the	the	DET
easat-3717	238	2	mean	mean	ADJ
easat-3717	238	3	absolute	absolute	ADJ
easat-3717	238	4	scaled	scale	VERB
easat-3717	238	5	error	error	NOUN
easat-3717	238	6	(	(	PUNCT
easat-3717	238	7	mase	mase	PROPN
easat-3717	238	8	)	)	PUNCT
easat-3717	238	9	,	,	PUNCT
easat-3717	238	10	a	a	DET
easat-3717	238	11	significant	significant	ADJ
easat-3717	238	12	measure	measure	NOUN
easat-3717	238	13	for	for	ADP
easat-3717	238	14	evaluating	evaluate	VERB
easat-3717	238	15	the	the	DET
easat-3717	238	16	accuracy	accuracy	NOUN
easat-3717	238	17	of	of	ADP
easat-3717	238	18	forecasts	forecast	NOUN
easat-3717	238	19	,	,	PUNCT
easat-3717	238	20	constantly	constantly	ADV
easat-3717	238	21	demonstrates	demonstrate	VERB
easat-3717	238	22	the	the	DET
easat-3717	238	23	improved	improved	ADJ
easat-3717	238	24	performance	performance	NOUN
easat-3717	238	25	of	of	ADP
easat-3717	238	26	the	the	DET
easat-3717	238	27	walrus	walrus	PROPN
easat-3717	238	28	optimisation	optimisation	NOUN
easat-3717	238	29	algorithm	algorithm	NOUN
easat-3717	238	30	.	.	PUNCT
easat-3717	239	1	this	this	PRON
easat-3717	239	2	is	be	AUX
easat-3717	239	3	shown	show	VERB
easat-3717	239	4	by	by	ADP
easat-3717	239	5	continuously	continuously	ADV
easat-3717	239	6	lower	low	ADJ
easat-3717	239	7	values	value	NOUN
easat-3717	239	8	seen	see	VERB
easat-3717	239	9	across	across	ADP
easat-3717	239	10	all	all	PRON
easat-3717	239	11	learning	learn	VERB
easat-3717	239	12	percentages	percentage	NOUN
easat-3717	239	13	.	.	PUNCT
easat-3717	240	1	it	it	PRON
easat-3717	240	2	is	be	AUX
easat-3717	240	3	worth	worth	ADJ
easat-3717	240	4	noting	note	VERB
easat-3717	240	5	that	that	SCONJ
easat-3717	240	6	the	the	DET
easat-3717	240	7	weighted	weight	VERB
easat-3717	240	8	objective	objective	ADJ
easat-3717	240	9	assessment	assessment	NOUN
easat-3717	240	10	(	(	PUNCT
easat-3717	240	11	woa	woa	INTJ
easat-3717	240	12	)	)	PUNCT
easat-3717	240	13	exhibits	exhibit	VERB
easat-3717	240	14	a	a	DET
easat-3717	240	15	consistent	consistent	ADJ
easat-3717	240	16	pattern	pattern	NOUN
easat-3717	240	17	of	of	ADP
easat-3717	240	18	enhancement	enhancement	NOUN
easat-3717	240	19	,	,	PUNCT
easat-3717	240	20	as	as	SCONJ
easat-3717	240	21	seen	see	VERB
easat-3717	240	22	by	by	ADP
easat-3717	240	23	the	the	DET
easat-3717	240	24	diminishing	diminishing	NOUN
easat-3717	240	25	mean	mean	VERB
easat-3717	240	26	absolute	absolute	ADJ
easat-3717	240	27	scaled	scale	VERB
easat-3717	240	28	error	error	NOUN
easat-3717	240	29	(	(	PUNCT
easat-3717	240	30	mase	mase	PROPN
easat-3717	240	31	)	)	PUNCT
easat-3717	240	32	values	value	NOUN
easat-3717	240	33	in	in	ADP
easat-3717	240	34	correlation	correlation	NOUN
easat-3717	240	35	with	with	ADP
easat-3717	240	36	the	the	DET
easat-3717	240	37	rise	rise	NOUN
easat-3717	240	38	in	in	ADP
easat-3717	240	39	the	the	DET
easat-3717	240	40	percentage	percentage	NOUN
easat-3717	240	41	of	of	ADP
easat-3717	240	42	learning	learning	NOUN
easat-3717	240	43	.	.	PUNCT
easat-3717	241	1	this	this	DET
easat-3717	241	2	highlights	highlight	VERB
easat-3717	241	3	the	the	DET
easat-3717	241	4	effectiveness	effectiveness	NOUN
easat-3717	241	5	of	of	ADP
easat-3717	241	6	the	the	DET
easat-3717	241	7	suggested	suggest	VERB
easat-3717	241	8	walrus	walrus	PROPN
easat-3717	241	9	optimisation	optimisation	NOUN
easat-3717	241	10	algorithm	algorithm	NOUN
easat-3717	241	11	in	in	ADP
easat-3717	241	12	improving	improve	VERB
easat-3717	241	13	the	the	DET
easat-3717	241	14	7889	7889	NUM
easat-3717	241	15	edelweiss	edelweiss	PROPN
easat-3717	241	16	applied	apply	VERB
easat-3717	241	17	science	science	NOUN
easat-3717	241	18	and	and	CCONJ
easat-3717	241	19	technology	technology	NOUN
easat-3717	241	20	issn	issn	PROPN
easat-3717	241	21	:	:	PUNCT
easat-3717	241	22	2576	2576	NUM
easat-3717	241	23	-	-	SYM
easat-3717	241	24	8484	8484	NUM
easat-3717	241	25	vol	vol	NOUN
easat-3717	241	26	.	.	PROPN
easat-3717	241	27	8	8	NUM
easat-3717	241	28	,	,	PUNCT
easat-3717	241	29	no	no	INTJ
easat-3717	241	30	.	.	NOUN
easat-3717	241	31	6	6	NUM
easat-3717	241	32	:	:	PUNCT
easat-3717	241	33	7878	7878	NUM
easat-3717	241	34	-	-	SYM
easat-3717	241	35	7901	7901	NUM
easat-3717	241	36	,	,	PUNCT
easat-3717	241	37	2024	2024	NUM
easat-3717	241	38	doi	doi	NOUN
easat-3717	241	39	:	:	PUNCT
easat-3717	241	40	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	241	41	©	©	PROPN
easat-3717	241	42	2024	2024	NUM
easat-3717	241	43	by	by	ADP
easat-3717	241	44	the	the	DET
easat-3717	241	45	authors	author	NOUN
easat-3717	241	46	;	;	PUNCT
easat-3717	241	47	licensee	licensee	PROPN
easat-3717	241	48	learning	learn	VERB
easat-3717	241	49	gate	gate	PROPN
easat-3717	241	50	accuracy	accuracy	NOUN
easat-3717	241	51	of	of	ADP
easat-3717	241	52	predicted	predict	VERB
easat-3717	241	53	values	value	NOUN
easat-3717	241	54	and	and	CCONJ
easat-3717	241	55	reducing	reduce	VERB
easat-3717	241	56	mistakes	mistake	NOUN
easat-3717	241	57	,	,	PUNCT
easat-3717	241	58	making	make	VERB
easat-3717	241	59	it	it	PRON
easat-3717	241	60	an	an	DET
easat-3717	241	61	appealing	appealing	ADJ
easat-3717	241	62	option	option	NOUN
easat-3717	241	63	for	for	ADP
easat-3717	241	64	activities	activity	NOUN
easat-3717	241	65	that	that	PRON
easat-3717	241	66	need	need	VERB
easat-3717	241	67	precise	precise	ADJ
easat-3717	241	68	and	and	CCONJ
easat-3717	241	69	dependable	dependable	ADJ
easat-3717	241	70	forecasting	forecasting	NOUN
easat-3717	241	71	.	.	PUNCT
easat-3717	242	1	as	as	SCONJ
easat-3717	242	2	the	the	DET
easat-3717	242	3	learning	learning	NOUN
easat-3717	242	4	percentages	percentage	NOUN
easat-3717	242	5	increasing	increase	VERB
easat-3717	242	6	will	will	AUX
easat-3717	242	7	suggest	suggest	VERB
easat-3717	242	8	rising	rise	VERB
easat-3717	242	9	predicting	predict	VERB
easat-3717	242	10	accuracy	accuracy	NOUN
easat-3717	242	11	,	,	PUNCT
easat-3717	242	12	potentially	potentially	ADV
easat-3717	242	13	due	due	ADP
easat-3717	242	14	to	to	ADP
easat-3717	242	15	its	its	PRON
easat-3717	242	16	adaptive	adaptive	ADJ
easat-3717	242	17	learning	learning	NOUN
easat-3717	242	18	process	process	NOUN
easat-3717	242	19	that	that	PRON
easat-3717	242	20	captures	capture	VERB
easat-3717	242	21	data	data	NOUN
easat-3717	242	22	patterns	pattern	NOUN
easat-3717	242	23	.	.	PUNCT
easat-3717	243	1	table	table	NOUN
easat-3717	243	2	4	4	NUM
easat-3717	243	3	.	.	PUNCT
easat-3717	244	1	mep	mep	AUX
easat-3717	244	2	.	.	PUNCT
easat-3717	244	3	learning	learn	VERB
easat-3717	244	4	percentage%	percentage%	PROPN
easat-3717	244	5	mep	mep	PROPN
easat-3717	244	6	pso	pso	NOUN
easat-3717	244	7	40	40	NUM
easat-3717	244	8	2.74902	2.74902	NUM
easat-3717	244	9	50	50	NUM
easat-3717	244	10	2.29303	2.29303	NUM
easat-3717	244	11	60	60	NUM
easat-3717	244	12	2.16549	2.16549	NUM
easat-3717	244	13	70	70	NUM
easat-3717	244	14	1.83194	1.83194	NUM
easat-3717	244	15	80	80	NUM
easat-3717	244	16	1.76026	1.76026	NUM
easat-3717	244	17	gwo	gwo	NOUN
easat-3717	244	18	40	40	NUM
easat-3717	244	19	2.31933	2.31933	NUM
easat-3717	244	20	50	50	NUM
easat-3717	244	21	2.17605	2.17605	NUM
easat-3717	244	22	60	60	NUM
easat-3717	244	23	2.06628	2.06628	NUM
easat-3717	244	24	70	70	NUM
easat-3717	244	25	1.79124	1.79124	NUM
easat-3717	244	26	80	80	NUM
easat-3717	244	27	1.72977	1.72977	NUM
easat-3717	244	28	jaya	jaya	NOUN
easat-3717	244	29	40	40	NUM
easat-3717	244	30	2.32702	2.32702	NUM
easat-3717	244	31	50	50	NUM
easat-3717	244	32	2.2727	2.2727	NUM
easat-3717	244	33	60	60	NUM
easat-3717	244	34	2.19343	2.19343	NUM
easat-3717	244	35	70	70	NUM
easat-3717	244	36	1.91328	1.91328	NUM
easat-3717	244	37	80	80	NUM
easat-3717	244	38	1.84163	1.84163	NUM
easat-3717	244	39	rsa	rsa	NOUN
easat-3717	244	40	40	40	NUM
easat-3717	244	41	2.36005	2.36005	NUM
easat-3717	244	42	50	50	NUM
easat-3717	244	43	2.20913	2.20913	NUM
easat-3717	244	44	60	60	NUM
easat-3717	244	45	2.1324	2.1324	NUM
easat-3717	244	46	70	70	NUM
easat-3717	244	47	1.8777	1.8777	NUM
easat-3717	244	48	80	80	NUM
easat-3717	244	49	1.79334	1.79334	NUM
easat-3717	244	50	woa	woa	VERB
easat-3717	244	51	40	40	NUM
easat-3717	244	52	2.29394	2.29394	NUM
easat-3717	244	53	50	50	NUM
easat-3717	244	54	2.14557	2.14557	NUM
easat-3717	244	55	60	60	NUM
easat-3717	244	56	1.72308	1.72308	NUM
easat-3717	244	57	70	70	NUM
easat-3717	244	58	1.65143	1.65143	NUM
easat-3717	244	59	80	80	NUM
easat-3717	244	60	1.64587	1.64587	NUM
easat-3717	244	61	the	the	DET
easat-3717	244	62	table	table	NOUN
easat-3717	244	63	shows	show	NOUN
easat-3717	244	64	mean	mean	VERB
easat-3717	244	65	evaluation	evaluation	NOUN
easat-3717	244	66	performance	performance	NOUN
easat-3717	244	67	(	(	PUNCT
easat-3717	244	68	mep	mep	PROPN
easat-3717	244	69	)	)	PUNCT
easat-3717	244	70	values	value	NOUN
easat-3717	244	71	for	for	ADP
easat-3717	244	72	pso	pso	NOUN
easat-3717	244	73	,	,	PUNCT
easat-3717	244	74	gwo	gwo	PROPN
easat-3717	244	75	,	,	PUNCT
easat-3717	244	76	jaya	jaya	PROPN
easat-3717	244	77	,	,	PUNCT
easat-3717	244	78	rsa	rsa	PROPN
easat-3717	244	79	,	,	PUNCT
easat-3717	244	80	and	and	CCONJ
easat-3717	244	81	woa	woa	VERB
easat-3717	244	82	at	at	ADP
easat-3717	244	83	different	different	ADJ
easat-3717	244	84	learning	learning	NOUN
easat-3717	244	85	percentages	percentage	NOUN
easat-3717	244	86	(	(	PUNCT
easat-3717	244	87	40	40	NUM
easat-3717	244	88	%	%	NOUN
easat-3717	244	89	,	,	PUNCT
easat-3717	244	90	50	50	NUM
easat-3717	244	91	%	%	NOUN
easat-3717	244	92	,	,	PUNCT
easat-3717	244	93	60	60	NUM
easat-3717	244	94	%	%	NOUN
easat-3717	244	95	,	,	PUNCT
easat-3717	244	96	70	70	NUM
easat-3717	244	97	%	%	NOUN
easat-3717	244	98	,	,	PUNCT
easat-3717	244	99	and	and	CCONJ
easat-3717	244	100	80	80	NUM
easat-3717	244	101	%	%	NOUN
easat-3717	244	102	)	)	PUNCT
easat-3717	244	103	.	.	PUNCT
easat-3717	245	1	the	the	DET
easat-3717	245	2	effectiveness	effectiveness	NOUN
easat-3717	245	3	of	of	ADP
easat-3717	245	4	algorithms	algorithm	NOUN
easat-3717	245	5	in	in	ADP
easat-3717	245	6	evaluating	evaluate	VERB
easat-3717	245	7	solution	solution	NOUN
easat-3717	245	8	performance	performance	NOUN
easat-3717	245	9	is	be	AUX
easat-3717	245	10	measured	measure	VERB
easat-3717	245	11	by	by	ADP
easat-3717	245	12	mep	mep	PROPN
easat-3717	245	13	.	.	PUNCT
easat-3717	246	1	the	the	DET
easat-3717	246	2	walrus	walrus	PROPN
easat-3717	246	3	optimization	optimization	NOUN
easat-3717	246	4	algorithm	algorithm	PROPN
easat-3717	246	5	(	(	PUNCT
easat-3717	246	6	woa	woa	INTJ
easat-3717	246	7	)	)	PUNCT
easat-3717	246	8	consistently	consistently	ADV
easat-3717	246	9	beats	beat	VERB
easat-3717	246	10	the	the	DET
easat-3717	246	11	other	other	ADJ
easat-3717	246	12	algorithms	algorithm	NOUN
easat-3717	246	13	with	with	ADP
easat-3717	246	14	lower	low	ADJ
easat-3717	246	15	mep	mep	PROPN
easat-3717	246	16	values	value	NOUN
easat-3717	246	17	across	across	ADP
easat-3717	246	18	all	all	PRON
easat-3717	246	19	learning	learn	VERB
easat-3717	246	20	percentages	percentage	NOUN
easat-3717	246	21	.	.	PUNCT
easat-3717	247	1	woa	woa	AUX
easat-3717	247	2	improved	improve	VERB
easat-3717	247	3	at	at	ADP
easat-3717	247	4	40	40	NUM
easat-3717	247	5	%	%	NOUN
easat-3717	247	6	and	and	CCONJ
easat-3717	247	7	50	50	NUM
easat-3717	247	8	%	%	NOUN
easat-3717	247	9	learning	learning	NOUN
easat-3717	247	10	percentages	percentage	NOUN
easat-3717	247	11	,	,	PUNCT
easat-3717	247	12	lowering	lower	VERB
easat-3717	247	13	mep	mep	PROPN
easat-3717	247	14	values	value	NOUN
easat-3717	247	15	.	.	PUNCT
easat-3717	248	1	this	this	DET
easat-3717	248	2	refinement	refinement	NOUN
easat-3717	248	3	highlights	highlight	NOUN
easat-3717	248	4	woa	woa	VERB
easat-3717	248	5	's	's	PART
easat-3717	248	6	greater	great	ADJ
easat-3717	248	7	efficiency	efficiency	NOUN
easat-3717	248	8	in	in	ADP
easat-3717	248	9	quickly	quickly	ADV
easat-3717	248	10	and	and	CCONJ
easat-3717	248	11	precisely	precisely	ADV
easat-3717	248	12	assessing	assess	VERB
easat-3717	248	13	solution	solution	NOUN
easat-3717	248	14	performance	performance	NOUN
easat-3717	248	15	compared	compare	VERB
easat-3717	248	16	to	to	ADP
easat-3717	248	17	pso	pso	NOUN
easat-3717	248	18	,	,	PUNCT
easat-3717	248	19	gwo	gwo	PROPN
easat-3717	248	20	,	,	PUNCT
easat-3717	248	21	jaya	jaya	PROPN
easat-3717	248	22	,	,	PUNCT
easat-3717	248	23	and	and	CCONJ
easat-3717	248	24	rsa	rsa	PROPN
easat-3717	248	25	.	.	PUNCT
easat-3717	249	1	and	and	CCONJ
easat-3717	249	2	low	low	ADJ
easat-3717	249	3	mep	mep	PROPN
easat-3717	249	4	values	value	NOUN
easat-3717	249	5	throughout	throughout	ADP
easat-3717	249	6	learning	learn	VERB
easat-3717	249	7	percentages	percentage	NOUN
easat-3717	249	8	indicate	indicate	VERB
easat-3717	249	9	its	its	PRON
easat-3717	249	10	efficient	efficient	ADJ
easat-3717	249	11	solution	solution	NOUN
easat-3717	249	12	performance	performance	NOUN
easat-3717	249	13	assessment	assessment	NOUN
easat-3717	249	14	,	,	PUNCT
easat-3717	249	15	possibly	possibly	ADV
easat-3717	249	16	due	due	ADP
easat-3717	249	17	to	to	ADP
easat-3717	249	18	adaptive	adaptive	ADJ
easat-3717	249	19	evaluation	evaluation	NOUN
easat-3717	249	20	criteria	criterion	NOUN
easat-3717	249	21	and	and	CCONJ
easat-3717	249	22	robust	robust	ADJ
easat-3717	249	23	optimization	optimization	NOUN
easat-3717	249	24	.	.	PUNCT
easat-3717	250	1	table	table	NOUN
easat-3717	250	2	5	5	NUM
easat-3717	250	3	.	.	PUNCT
easat-3717	250	4	one	one	NUM
easat-3717	250	5	-	-	PUNCT
easat-3717	250	6	norm	norm	NOUN
easat-3717	250	7	.	.	PUNCT
easat-3717	251	1	learning	learn	VERB
easat-3717	251	2	percentage%	percentage%	NUM
easat-3717	251	3	one	one	NUM
easat-3717	251	4	-	-	PUNCT
easat-3717	251	5	norm	norm	NOUN
easat-3717	251	6	pso	pso	NOUN
easat-3717	251	7	40	40	NUM
easat-3717	251	8	137894.7368	137894.7368	NUM
easat-3717	251	9	7890	7890	NUM
easat-3717	251	10	edelweiss	edelweiss	PROPN
easat-3717	251	11	applied	apply	VERB
easat-3717	251	12	science	science	NOUN
easat-3717	251	13	and	and	CCONJ
easat-3717	251	14	technology	technology	NOUN
easat-3717	251	15	issn	issn	PROPN
easat-3717	251	16	:	:	PUNCT
easat-3717	251	17	2576	2576	NUM
easat-3717	251	18	-	-	SYM
easat-3717	251	19	8484	8484	NUM
easat-3717	251	20	vol	vol	NOUN
easat-3717	251	21	.	.	PROPN
easat-3717	251	22	8	8	NUM
easat-3717	251	23	,	,	PUNCT
easat-3717	251	24	no	no	INTJ
easat-3717	251	25	.	.	NOUN
easat-3717	251	26	6	6	NUM
easat-3717	251	27	:	:	PUNCT
easat-3717	251	28	7878	7878	NUM
easat-3717	251	29	-	-	SYM
easat-3717	251	30	7901	7901	NUM
easat-3717	251	31	,	,	PUNCT
easat-3717	251	32	2024	2024	NUM
easat-3717	251	33	doi	doi	NOUN
easat-3717	251	34	:	:	PUNCT
easat-3717	251	35	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	251	36	©	©	PROPN
easat-3717	251	37	2024	2024	NUM
easat-3717	251	38	by	by	ADP
easat-3717	251	39	the	the	DET
easat-3717	251	40	authors	author	NOUN
easat-3717	251	41	;	;	PUNCT
easat-3717	251	42	licensee	licensee	PROPN
easat-3717	251	43	learning	learning	NOUN
easat-3717	251	44	gate	gate	VERB
easat-3717	251	45	50	50	NUM
easat-3717	252	1	115657.8947	115657.8947	NUM
easat-3717	252	2	60	60	NUM
easat-3717	252	3	109605.2632	109605.2632	NUM
easat-3717	252	4	70	70	NUM
easat-3717	252	5	92763.15789	92763.15789	NUM
easat-3717	252	6	80	80	NUM
easat-3717	252	7	92631.57895	92631.57895	NUM
easat-3717	252	8	gwo	gwo	NOUN
easat-3717	252	9	40	40	NUM
easat-3717	252	10	117105.2632	117105.2632	NUM
easat-3717	252	11	50	50	NUM
easat-3717	252	12	110131.5789	110131.5789	NUM
easat-3717	252	13	60	60	NUM
easat-3717	252	14	106447.3684	106447.3684	NUM
easat-3717	252	15	70	70	NUM
easat-3717	252	16	90394.73684	90394.73684	NUM
easat-3717	252	17	80	80	NUM
easat-3717	252	18	86578.94737	86578.94737	NUM
easat-3717	252	19	jaya	jaya	NOUN
easat-3717	252	20	40	40	NUM
easat-3717	252	21	120921.0526	120921.0526	NUM
easat-3717	252	22	50	50	NUM
easat-3717	252	23	114868.4211	114868.4211	NUM
easat-3717	252	24	60	60	NUM
easat-3717	252	25	111184.2105	111184.2105	NOUN
easat-3717	252	26	70	70	NUM
easat-3717	252	27	95131.57895	95131.57895	NUM
easat-3717	252	28	80	80	NUM
easat-3717	252	29	92763.15789	92763.15789	NUM
easat-3717	252	30	rsa	rsa	NOUN
easat-3717	252	31	40	40	NUM
easat-3717	252	32	121710.5263	121710.5263	NUM
easat-3717	252	33	50	50	NUM
easat-3717	252	34	113289.4737	113289.4737	NUM
easat-3717	252	35	60	60	NUM
easat-3717	252	36	107894.7368	107894.7368	NUM
easat-3717	252	37	70	70	NUM
easat-3717	252	38	94868.42105	94868.42105	NOUN
easat-3717	252	39	80	80	NUM
easat-3717	252	40	90921.05263	90921.05263	NUM
easat-3717	252	41	woa	woa	VERB
easat-3717	252	42	40	40	NUM
easat-3717	252	43	119605.2632	119605.2632	NUM
easat-3717	252	44	50	50	NUM
easat-3717	252	45	108684.2105	108684.2105	NUM
easat-3717	252	46	60	60	NUM
easat-3717	252	47	90000	90000	NUM
easat-3717	252	48	70	70	NUM
easat-3717	252	49	82236.84211	82236.84211	NUM
easat-3717	252	50	80	80	NUM
easat-3717	252	51	83947.36842	83947.36842	NUM
easat-3717	252	52	the	the	DET
easat-3717	252	53	table	table	NOUN
easat-3717	252	54	displays	display	VERB
easat-3717	252	55	the	the	DET
easat-3717	252	56	performance	performance	NOUN
easat-3717	252	57	metrics	metric	NOUN
easat-3717	252	58	,	,	PUNCT
easat-3717	252	59	specifically	specifically	ADV
easat-3717	252	60	the	the	DET
easat-3717	252	61	one	one	NUM
easat-3717	252	62	-	-	PUNCT
easat-3717	252	63	norm	norm	NOUN
easat-3717	252	64	values	value	NOUN
easat-3717	252	65	,	,	PUNCT
easat-3717	252	66	of	of	ADP
easat-3717	252	67	several	several	ADJ
easat-3717	252	68	optimization	optimization	NOUN
easat-3717	252	69	algorithms	algorithm	NOUN
easat-3717	252	70	,	,	PUNCT
easat-3717	252	71	namely	namely	ADV
easat-3717	252	72	particle	particle	NOUN
easat-3717	252	73	swarm	swarm	NOUN
easat-3717	252	74	optimisation	optimisation	NOUN
easat-3717	252	75	(	(	PUNCT
easat-3717	252	76	pso	pso	NOUN
easat-3717	252	77	)	)	PUNCT
easat-3717	252	78	,	,	PUNCT
easat-3717	252	79	grey	grey	ADJ
easat-3717	252	80	wolf	wolf	PROPN
easat-3717	252	81	optimizer	optimizer	NOUN
easat-3717	252	82	(	(	PUNCT
easat-3717	252	83	gwo	gwo	PROPN
easat-3717	252	84	)	)	PUNCT
easat-3717	252	85	,	,	PUNCT
easat-3717	252	86	jaya	jaya	PROPN
easat-3717	252	87	,	,	PUNCT
easat-3717	252	88	random	random	ADJ
easat-3717	252	89	search	search	NOUN
easat-3717	252	90	algorithm	algorithm	NOUN
easat-3717	252	91	(	(	PUNCT
easat-3717	252	92	rsa	rsa	NOUN
easat-3717	252	93	)	)	PUNCT
easat-3717	252	94	,	,	PUNCT
easat-3717	252	95	and	and	CCONJ
easat-3717	252	96	walrus	walrus	PROPN
easat-3717	252	97	optimisation	optimisation	NOUN
easat-3717	252	98	algorithm	algorithm	NOUN
easat-3717	252	99	(	(	PUNCT
easat-3717	252	100	woa	woa	PROPN
easat-3717	252	101	)	)	PUNCT
easat-3717	252	102	,	,	PUNCT
easat-3717	252	103	across	across	ADP
easat-3717	252	104	different	different	ADJ
easat-3717	252	105	learning	learning	NOUN
easat-3717	252	106	percentages	percentage	NOUN
easat-3717	252	107	(	(	PUNCT
easat-3717	252	108	40	40	NUM
easat-3717	252	109	%	%	NOUN
easat-3717	252	110	,	,	PUNCT
easat-3717	252	111	50	50	NUM
easat-3717	252	112	%	%	NOUN
easat-3717	252	113	,	,	PUNCT
easat-3717	252	114	60	60	NUM
easat-3717	252	115	%	%	NOUN
easat-3717	252	116	,	,	PUNCT
easat-3717	252	117	70	70	NUM
easat-3717	252	118	%	%	NOUN
easat-3717	252	119	,	,	PUNCT
easat-3717	252	120	and	and	CCONJ
easat-3717	252	121	80	80	NUM
easat-3717	252	122	%	%	NOUN
easat-3717	252	123	)	)	PUNCT
easat-3717	252	124	.	.	PUNCT
easat-3717	253	1	the	the	DET
easat-3717	253	2	one	one	NUM
easat-3717	253	3	-	-	PUNCT
easat-3717	253	4	norm	norm	NOUN
easat-3717	253	5	values	value	NOUN
easat-3717	253	6	work	work	VERB
easat-3717	253	7	as	as	ADP
easat-3717	253	8	indications	indication	NOUN
easat-3717	253	9	of	of	ADP
easat-3717	253	10	the	the	DET
easat-3717	253	11	efficiency	efficiency	NOUN
easat-3717	253	12	and	and	CCONJ
easat-3717	253	13	efficacy	efficacy	NOUN
easat-3717	253	14	of	of	ADP
easat-3717	253	15	each	each	DET
easat-3717	253	16	algorithm	algorithm	NOUN
easat-3717	253	17	in	in	ADP
easat-3717	253	18	the	the	DET
easat-3717	253	19	minimization	minimization	NOUN
easat-3717	253	20	of	of	ADP
easat-3717	253	21	a	a	DET
easat-3717	253	22	given	give	VERB
easat-3717	253	23	objective	objective	ADJ
easat-3717	253	24	function	function	NOUN
easat-3717	253	25	.	.	PUNCT
easat-3717	254	1	after	after	ADP
easat-3717	254	2	careful	careful	ADJ
easat-3717	254	3	analysis	analysis	NOUN
easat-3717	254	4	,	,	PUNCT
easat-3717	254	5	it	it	PRON
easat-3717	254	6	becomes	become	VERB
easat-3717	254	7	apparent	apparent	ADJ
easat-3717	254	8	that	that	SCONJ
easat-3717	254	9	the	the	DET
easat-3717	254	10	woa	woa	PROPN
easat-3717	254	11	algorithm	algorithm	NOUN
easat-3717	254	12	regularly	regularly	ADV
easat-3717	254	13	demonstrates	demonstrate	VERB
easat-3717	254	14	superior	superior	ADJ
easat-3717	254	15	performance	performance	NOUN
easat-3717	254	16	compared	compare	VERB
easat-3717	254	17	to	to	ADP
easat-3717	254	18	the	the	DET
easat-3717	254	19	other	other	ADJ
easat-3717	254	20	algorithms	algorithm	NOUN
easat-3717	254	21	.	.	PUNCT
easat-3717	255	1	this	this	PRON
easat-3717	255	2	is	be	AUX
easat-3717	255	3	clear	clear	ADJ
easat-3717	255	4	from	from	ADP
easat-3717	255	5	its	its	PRON
easat-3717	255	6	ability	ability	NOUN
easat-3717	255	7	to	to	PART
easat-3717	255	8	consistently	consistently	ADV
easat-3717	255	9	achieve	achieve	VERB
easat-3717	255	10	lower	low	ADJ
easat-3717	255	11	one	one	NUM
easat-3717	255	12	-	-	PUNCT
easat-3717	255	13	norm	norm	NOUN
easat-3717	255	14	values	value	NOUN
easat-3717	255	15	across	across	ADP
easat-3717	255	16	all	all	PRON
easat-3717	255	17	learning	learn	VERB
easat-3717	255	18	percentages	percentage	NOUN
easat-3717	255	19	.	.	PUNCT
easat-3717	256	1	the	the	DET
easat-3717	256	2	persistent	persistent	ADJ
easat-3717	256	3	superiority	superiority	NOUN
easat-3717	256	4	seen	see	VERB
easat-3717	256	5	in	in	ADP
easat-3717	256	6	the	the	DET
easat-3717	256	7	performance	performance	NOUN
easat-3717	256	8	of	of	ADP
easat-3717	256	9	the	the	DET
easat-3717	256	10	suggested	suggest	VERB
easat-3717	256	11	walrus	walrus	PROPN
easat-3717	256	12	optimisation	optimisation	NOUN
easat-3717	256	13	algorithm	algorithm	NOUN
easat-3717	256	14	in	in	ADP
easat-3717	256	15	optimizing	optimize	VERB
easat-3717	256	16	the	the	DET
easat-3717	256	17	provided	provide	VERB
easat-3717	256	18	objective	objective	ADJ
easat-3717	256	19	function	function	NOUN
easat-3717	256	20	underscores	underscore	VERB
easat-3717	256	21	its	its	PRON
easat-3717	256	22	efficacy	efficacy	NOUN
easat-3717	256	23	,	,	PUNCT
easat-3717	256	24	giving	give	VERB
easat-3717	256	25	it	it	PRON
easat-3717	256	26	an	an	DET
easat-3717	256	27	appealing	appealing	ADJ
easat-3717	256	28	option	option	NOUN
easat-3717	256	29	for	for	ADP
easat-3717	256	30	situations	situation	NOUN
easat-3717	256	31	where	where	SCONJ
easat-3717	256	32	the	the	DET
easat-3717	256	33	minimization	minimization	NOUN
easat-3717	256	34	of	of	ADP
easat-3717	256	35	the	the	DET
easat-3717	256	36	onenorm	onenorm	NOUN
easat-3717	256	37	is	be	AUX
easat-3717	256	38	of	of	ADP
easat-3717	256	39	utmost	utmost	ADJ
easat-3717	256	40	importance	importance	NOUN
easat-3717	256	41	.	.	PUNCT
easat-3717	257	1	the	the	DET
easat-3717	257	2	constantly	constantly	ADV
easat-3717	257	3	decreasing	decrease	VERB
easat-3717	257	4	one	one	NUM
easat-3717	257	5	-	-	PUNCT
easat-3717	257	6	norm	norm	NOUN
easat-3717	257	7	values	value	NOUN
easat-3717	257	8	compared	compare	VERB
easat-3717	257	9	to	to	ADP
easat-3717	257	10	other	other	ADJ
easat-3717	257	11	algorithms	algorithm	NOUN
easat-3717	257	12	show	show	VERB
easat-3717	257	13	its	its	PRON
easat-3717	257	14	better	well	ADJ
easat-3717	257	15	capacity	capacity	NOUN
easat-3717	257	16	to	to	PART
easat-3717	257	17	eliminate	eliminate	VERB
easat-3717	257	18	prediction	prediction	NOUN
easat-3717	257	19	errors	error	NOUN
easat-3717	257	20	and	and	CCONJ
easat-3717	257	21	sustain	sustain	VERB
easat-3717	257	22	optimization	optimization	NOUN
easat-3717	257	23	performance	performance	NOUN
easat-3717	257	24	,	,	PUNCT
easat-3717	257	25	perhaps	perhaps	ADV
easat-3717	257	26	due	due	ADP
easat-3717	257	27	to	to	ADP
easat-3717	257	28	its	its	PRON
easat-3717	257	29	adaptive	adaptive	ADJ
easat-3717	257	30	search	search	NOUN
easat-3717	257	31	method	method	NOUN
easat-3717	257	32	.	.	PUNCT
easat-3717	257	33	.	.	PUNCT
easat-3717	258	1	table	table	NOUN
easat-3717	258	2	6	6	NUM
easat-3717	258	3	.	.	PUNCT
easat-3717	258	4	rmse	rmse	NOUN
easat-3717	258	5	.	.	PUNCT
easat-3717	259	1	learning	learn	VERB
easat-3717	259	2	percentage%	percentage%	NUM
easat-3717	259	3	rmse	rmse	ADJ
easat-3717	259	4	pso	pso	NOUN
easat-3717	259	5	40	40	NUM
easat-3717	259	6	16.8558	16.8558	NUM
easat-3717	259	7	50	50	NUM
easat-3717	259	8	15.3644	15.3644	NUM
easat-3717	259	9	60	60	NUM
easat-3717	259	10	15.4203	15.4203	NUM
easat-3717	259	11	7891	7891	NUM
easat-3717	259	12	edelweiss	edelweiss	PROPN
easat-3717	259	13	applied	apply	VERB
easat-3717	259	14	science	science	NOUN
easat-3717	259	15	and	and	CCONJ
easat-3717	259	16	technology	technology	NOUN
easat-3717	259	17	issn	issn	PROPN
easat-3717	259	18	:	:	PUNCT
easat-3717	259	19	2576	2576	NUM
easat-3717	259	20	-	-	SYM
easat-3717	259	21	8484	8484	NUM
easat-3717	259	22	vol	vol	NOUN
easat-3717	259	23	.	.	PROPN
easat-3717	259	24	8	8	NUM
easat-3717	259	25	,	,	PUNCT
easat-3717	259	26	no	no	INTJ
easat-3717	259	27	.	.	NOUN
easat-3717	259	28	6	6	NUM
easat-3717	259	29	:	:	PUNCT
easat-3717	259	30	7878	7878	NUM
easat-3717	259	31	-	-	SYM
easat-3717	259	32	7901	7901	NUM
easat-3717	259	33	,	,	PUNCT
easat-3717	259	34	2024	2024	NUM
easat-3717	259	35	doi	doi	NOUN
easat-3717	259	36	:	:	PUNCT
easat-3717	259	37	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	259	38	©	©	PROPN
easat-3717	259	39	2024	2024	NUM
easat-3717	259	40	by	by	ADP
easat-3717	259	41	the	the	DET
easat-3717	259	42	authors	author	NOUN
easat-3717	259	43	;	;	PUNCT
easat-3717	259	44	licensee	licensee	PROPN
easat-3717	259	45	learning	learning	NOUN
easat-3717	259	46	gate	gate	VERB
easat-3717	259	47	70	70	NUM
easat-3717	259	48	13.8899	13.8899	NUM
easat-3717	259	49	80	80	NUM
easat-3717	259	50	14.2665	14.2665	NUM
easat-3717	259	51	gwo	gwo	NOUN
easat-3717	259	52	40	40	NUM
easat-3717	259	53	15.8262	15.8262	NUM
easat-3717	259	54	50	50	NUM
easat-3717	259	55	15.2968	15.2968	NUM
easat-3717	259	56	60	60	NUM
easat-3717	259	57	15.623	15.623	NUM
easat-3717	259	58	70	70	NUM
easat-3717	259	59	14.0756	14.0756	NUM
easat-3717	259	60	80	80	NUM
easat-3717	259	61	13.254	13.254	NUM
easat-3717	259	62	jaya	jaya	NOUN
easat-3717	259	63	40	40	NUM
easat-3717	259	64	16.2566	16.2566	NUM
easat-3717	259	65	50	50	NUM
easat-3717	259	66	15.4741	15.4741	NUM
easat-3717	259	67	60	60	NUM
easat-3717	259	68	14.9732	14.9732	NUM
easat-3717	259	69	70	70	NUM
easat-3717	259	70	14.2106	14.2106	NUM
easat-3717	259	71	80	80	NUM
easat-3717	259	72	13.8783	13.8783	NUM
easat-3717	259	73	rsa	rsa	NOUN
easat-3717	259	74	40	40	NUM
easat-3717	259	75	16.6702	16.6702	NUM
easat-3717	259	76	50	50	NUM
easat-3717	259	77	15.7778	15.7778	NUM
easat-3717	259	78	60	60	NUM
easat-3717	259	79	15.0997	15.0997	NUM
easat-3717	259	80	70	70	NUM
easat-3717	259	81	14.4721	14.4721	NUM
easat-3717	259	82	80	80	NUM
easat-3717	259	83	14.005	14.005	NUM
easat-3717	259	84	woa	woa	VERB
easat-3717	259	85	40	40	NUM
easat-3717	259	86	16.3916	16.3916	NUM
easat-3717	259	87	50	50	NUM
easat-3717	259	88	15.1702	15.1702	NUM
easat-3717	259	89	60	60	NUM
easat-3717	259	90	14.2221	14.2221	NUM
easat-3717	259	91	70	70	NUM
easat-3717	259	92	13.1642	13.1642	NUM
easat-3717	259	93	80	80	NUM
easat-3717	259	94	13.5324	13.5324	NUM
easat-3717	259	95	the	the	DET
easat-3717	259	96	table	table	NOUN
easat-3717	259	97	provided	provide	VERB
easat-3717	259	98	illustrates	illustrate	VERB
easat-3717	259	99	the	the	DET
easat-3717	259	100	root	root	NOUN
easat-3717	259	101	mean	mean	VERB
easat-3717	259	102	square	square	ADJ
easat-3717	259	103	error	error	NOUN
easat-3717	259	104	(	(	PUNCT
easat-3717	259	105	rmse	rmse	NOUN
easat-3717	259	106	)	)	PUNCT
easat-3717	259	107	values	value	NOUN
easat-3717	259	108	associated	associate	VERB
easat-3717	259	109	with	with	ADP
easat-3717	259	110	different	different	ADJ
easat-3717	259	111	optimization	optimization	NOUN
easat-3717	259	112	algorithms	algorithm	NOUN
easat-3717	259	113	,	,	PUNCT
easat-3717	259	114	namely	namely	ADV
easat-3717	259	115	particle	particle	NOUN
easat-3717	259	116	swarm	swarm	NOUN
easat-3717	259	117	optimisation	optimisation	NOUN
easat-3717	259	118	(	(	PUNCT
easat-3717	259	119	pso	pso	NOUN
easat-3717	259	120	)	)	PUNCT
easat-3717	259	121	,	,	PUNCT
easat-3717	259	122	grey	grey	ADJ
easat-3717	259	123	wolf	wolf	PROPN
easat-3717	259	124	optimizer	optimizer	NOUN
easat-3717	259	125	(	(	PUNCT
easat-3717	259	126	gwo	gwo	PROPN
easat-3717	259	127	)	)	PUNCT
easat-3717	259	128	,	,	PUNCT
easat-3717	259	129	jaya	jaya	PROPN
easat-3717	259	130	,	,	PUNCT
easat-3717	259	131	random	random	ADJ
easat-3717	259	132	search	search	NOUN
easat-3717	259	133	algorithm	algorithm	NOUN
easat-3717	259	134	(	(	PUNCT
easat-3717	259	135	rsa	rsa	NOUN
easat-3717	259	136	)	)	PUNCT
easat-3717	259	137	,	,	PUNCT
easat-3717	259	138	and	and	CCONJ
easat-3717	259	139	walrus	walrus	PROPN
easat-3717	259	140	optimisation	optimisation	NOUN
easat-3717	259	141	algorithm	algorithm	NOUN
easat-3717	259	142	(	(	PUNCT
easat-3717	259	143	woa	woa	PROPN
easat-3717	259	144	)	)	PUNCT
easat-3717	259	145	.	.	PUNCT
easat-3717	260	1	these	these	DET
easat-3717	260	2	values	value	NOUN
easat-3717	260	3	are	be	AUX
easat-3717	260	4	presented	present	VERB
easat-3717	260	5	for	for	ADP
easat-3717	260	6	different	different	ADJ
easat-3717	260	7	learning	learning	NOUN
easat-3717	260	8	percentages	percentage	NOUN
easat-3717	260	9	,	,	PUNCT
easat-3717	260	10	specifically	specifically	ADV
easat-3717	260	11	40	40	NUM
easat-3717	260	12	%	%	NOUN
easat-3717	260	13	,	,	PUNCT
easat-3717	260	14	50	50	NUM
easat-3717	260	15	%	%	NOUN
easat-3717	260	16	,	,	PUNCT
easat-3717	260	17	60	60	NUM
easat-3717	260	18	%	%	NOUN
easat-3717	260	19	,	,	PUNCT
easat-3717	260	20	70	70	NUM
easat-3717	260	21	%	%	NOUN
easat-3717	260	22	,	,	PUNCT
easat-3717	260	23	and	and	CCONJ
easat-3717	260	24	80	80	NUM
easat-3717	260	25	%	%	NOUN
easat-3717	260	26	.	.	PUNCT
easat-3717	261	1	root	root	NOUN
easat-3717	261	2	mean	mean	VERB
easat-3717	261	3	square	square	ADJ
easat-3717	261	4	error	error	NOUN
easat-3717	261	5	(	(	PUNCT
easat-3717	261	6	rmse	rmse	NOUN
easat-3717	261	7	)	)	PUNCT
easat-3717	261	8	is	be	AUX
easat-3717	261	9	a	a	DET
easat-3717	261	10	widely	widely	ADV
easat-3717	261	11	used	use	VERB
easat-3717	261	12	statistic	statistic	NOUN
easat-3717	261	13	in	in	ADP
easat-3717	261	14	the	the	DET
easat-3717	261	15	field	field	NOUN
easat-3717	261	16	of	of	ADP
easat-3717	261	17	predictive	predictive	ADJ
easat-3717	261	18	modelling	modelling	NOUN
easat-3717	261	19	,	,	PUNCT
easat-3717	261	20	serving	serve	VERB
easat-3717	261	21	as	as	ADP
easat-3717	261	22	a	a	DET
easat-3717	261	23	means	means	NOUN
easat-3717	261	24	to	to	PART
easat-3717	261	25	assess	assess	VERB
easat-3717	261	26	the	the	DET
easat-3717	261	27	precision	precision	NOUN
easat-3717	261	28	of	of	ADP
easat-3717	261	29	predictions	prediction	NOUN
easat-3717	261	30	.	.	PUNCT
easat-3717	262	1	it	it	PRON
easat-3717	262	2	is	be	AUX
easat-3717	262	3	worth	worth	ADJ
easat-3717	262	4	noting	note	VERB
easat-3717	262	5	that	that	SCONJ
easat-3717	262	6	lower	low	ADJ
easat-3717	262	7	rmse	rmse	ADJ
easat-3717	262	8	values	value	NOUN
easat-3717	262	9	are	be	AUX
easat-3717	262	10	indicative	indicative	ADJ
easat-3717	262	11	of	of	ADP
easat-3717	262	12	superior	superior	ADJ
easat-3717	262	13	performance	performance	NOUN
easat-3717	262	14	.	.	PUNCT
easat-3717	263	1	upon	upon	SCONJ
easat-3717	263	2	analysis	analysis	NOUN
easat-3717	263	3	of	of	ADP
easat-3717	263	4	the	the	DET
easat-3717	263	5	outcomes	outcome	NOUN
easat-3717	263	6	,	,	PUNCT
easat-3717	263	7	it	it	PRON
easat-3717	263	8	becomes	become	VERB
easat-3717	263	9	apparent	apparent	ADJ
easat-3717	263	10	that	that	SCONJ
easat-3717	263	11	the	the	DET
easat-3717	263	12	weighted	weighted	ADJ
easat-3717	263	13	overlap	overlap	NOUN
easat-3717	263	14	add	add	VERB
easat-3717	263	15	(	(	PUNCT
easat-3717	263	16	woa	woa	NOUN
easat-3717	263	17	)	)	PUNCT
easat-3717	263	18	algorithm	algorithm	NOUN
easat-3717	263	19	consistently	consistently	ADV
easat-3717	263	20	demonstrates	demonstrate	VERB
easat-3717	263	21	the	the	DET
easat-3717	263	22	most	most	ADV
easat-3717	263	23	favorable	favorable	ADJ
easat-3717	263	24	root	root	NOUN
easat-3717	263	25	mean	mean	NOUN
easat-3717	263	26	square	square	ADJ
easat-3717	263	27	error	error	NOUN
easat-3717	263	28	(	(	PUNCT
easat-3717	263	29	rmse	rmse	NOUN
easat-3717	263	30	)	)	PUNCT
easat-3717	263	31	values	value	NOUN
easat-3717	263	32	across	across	ADP
easat-3717	263	33	all	all	PRON
easat-3717	263	34	learning	learn	VERB
easat-3717	263	35	percentages	percentage	NOUN
easat-3717	263	36	,	,	PUNCT
easat-3717	263	37	in	in	ADP
easat-3717	263	38	comparison	comparison	NOUN
easat-3717	263	39	to	to	ADP
easat-3717	263	40	the	the	DET
easat-3717	263	41	other	other	ADJ
easat-3717	263	42	methods	method	NOUN
easat-3717	263	43	.	.	PUNCT
easat-3717	264	1	the	the	DET
easat-3717	264	2	persistent	persistent	ADJ
easat-3717	264	3	superiority	superiority	NOUN
easat-3717	264	4	shown	show	VERB
easat-3717	264	5	in	in	ADP
easat-3717	264	6	the	the	DET
easat-3717	264	7	suggested	suggest	VERB
easat-3717	264	8	walrus	walrus	PROPN
easat-3717	264	9	optimisationalgorithm	optimisationalgorithm	PROPN
easat-3717	264	10	highlights	highlight	VERB
easat-3717	264	11	its	its	PRON
easat-3717	264	12	efficacy	efficacy	NOUN
easat-3717	264	13	in	in	ADP
easat-3717	264	14	minimizing	minimize	VERB
easat-3717	264	15	prediction	prediction	NOUN
easat-3717	264	16	errors	error	NOUN
easat-3717	264	17	and	and	CCONJ
easat-3717	264	18	its	its	PRON
easat-3717	264	19	dependability	dependability	NOUN
easat-3717	264	20	and	and	CCONJ
easat-3717	264	21	efficacy	efficacy	NOUN
easat-3717	264	22	in	in	ADP
easat-3717	264	23	optimizing	optimize	VERB
easat-3717	264	24	difficult	difficult	ADJ
easat-3717	264	25	problems	problem	NOUN
easat-3717	264	26	,	,	PUNCT
easat-3717	264	27	making	make	VERB
easat-3717	264	28	it	it	PRON
easat-3717	264	29	ideal	ideal	ADJ
easat-3717	264	30	for	for	ADP
easat-3717	264	31	situations	situation	NOUN
easat-3717	264	32	requiring	require	VERB
easat-3717	264	33	high	high	ADJ
easat-3717	264	34	prediction	prediction	NOUN
easat-3717	264	35	precision	precision	NOUN
easat-3717	264	36	and	and	CCONJ
easat-3717	264	37	dependability	dependability	NOUN
easat-3717	264	38	.	.	PUNCT
easat-3717	264	39	table	table	NOUN
easat-3717	264	40	7	7	NUM
easat-3717	264	41	.	.	PUNCT
easat-3717	264	42	smape	smape	NOUN
easat-3717	264	43	.	.	PUNCT
easat-3717	265	1	learning	learn	VERB
easat-3717	265	2	percentage%	percentage%	NUM
easat-3717	265	3	smape	smape	NOUN
easat-3717	265	4	pso	pso	NOUN
easat-3717	265	5	40	40	NUM
easat-3717	265	6	0.03148	0.03148	NUM
easat-3717	265	7	50	50	NUM
easat-3717	265	8	0.02564	0.02564	NUM
easat-3717	265	9	60	60	NUM
easat-3717	265	10	0.02469	0.02469	NUM
easat-3717	265	11	70	70	NUM
easat-3717	265	12	0.02064	0.02064	NUM
easat-3717	265	13	80	80	NUM
easat-3717	265	14	0.01997	0.01997	NUM
easat-3717	265	15	7892	7892	NUM
easat-3717	265	16	edelweiss	edelweiss	PROPN
easat-3717	265	17	applied	apply	VERB
easat-3717	265	18	science	science	NOUN
easat-3717	265	19	and	and	CCONJ
easat-3717	265	20	technology	technology	NOUN
easat-3717	265	21	issn	issn	PROPN
easat-3717	265	22	:	:	PUNCT
easat-3717	265	23	2576	2576	NUM
easat-3717	265	24	-	-	SYM
easat-3717	265	25	8484	8484	NUM
easat-3717	265	26	vol	vol	NOUN
easat-3717	265	27	.	.	PROPN
easat-3717	265	28	8	8	NUM
easat-3717	265	29	,	,	PUNCT
easat-3717	265	30	no	no	INTJ
easat-3717	265	31	.	.	NOUN
easat-3717	265	32	6	6	NUM
easat-3717	265	33	:	:	PUNCT
easat-3717	265	34	7878	7878	NUM
easat-3717	265	35	-	-	SYM
easat-3717	265	36	7901	7901	NUM
easat-3717	265	37	,	,	PUNCT
easat-3717	265	38	2024	2024	NUM
easat-3717	265	39	doi	doi	NOUN
easat-3717	265	40	:	:	PUNCT
easat-3717	265	41	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	265	42	©	©	PROPN
easat-3717	265	43	2024	2024	NUM
easat-3717	265	44	by	by	ADP
easat-3717	265	45	the	the	DET
easat-3717	265	46	authors	author	NOUN
easat-3717	265	47	;	;	PUNCT
easat-3717	265	48	licensee	licensee	PROPN
easat-3717	265	49	learning	learning	PROPN
easat-3717	265	50	gate	gate	PROPN
easat-3717	265	51	gwo	gwo	PROPN
easat-3717	265	52	40	40	NUM
easat-3717	265	53	0.02634	0.02634	NUM
easat-3717	265	54	50	50	NUM
easat-3717	265	55	0.02454	0.02454	NUM
easat-3717	265	56	60	60	NUM
easat-3717	265	57	0.02334	0.02334	NUM
easat-3717	265	58	70	70	NUM
easat-3717	265	59	0.02012	0.02012	NUM
easat-3717	265	60	80	80	NUM
easat-3717	265	61	0.01935	0.01935	NUM
easat-3717	265	62	jaya	jaya	NOUN
easat-3717	265	63	40	40	NUM
easat-3717	265	64	0.02652	0.02652	NUM
easat-3717	265	65	50	50	NUM
easat-3717	265	66	0.0258	0.0258	NUM
easat-3717	265	67	60	60	NUM
easat-3717	265	68	0.02497	0.02497	NUM
easat-3717	265	69	70	70	NUM
easat-3717	265	70	0.02162	0.02162	NUM
easat-3717	265	71	80	80	NUM
easat-3717	265	72	0.02083	0.02083	NUM
easat-3717	265	73	rsa	rsa	NOUN
easat-3717	265	74	40	40	NUM
easat-3717	265	75	0.02686	0.02686	NUM
easat-3717	265	76	50	50	NUM
easat-3717	265	77	0.02503	0.02503	NUM
easat-3717	265	78	60	60	NUM
easat-3717	265	79	0.02426	0.02426	NUM
easat-3717	265	80	70	70	NUM
easat-3717	265	81	0.02125	0.02125	NUM
easat-3717	265	82	80	80	NUM
easat-3717	265	83	0.02037	0.02037	NUM
easat-3717	265	84	woa	woa	VERB
easat-3717	265	85	40	40	NUM
easat-3717	265	86	0.026	0.026	NUM
easat-3717	265	87	50	50	NUM
easat-3717	265	88	0.02441	0.02441	NUM
easat-3717	265	89	60	60	NUM
easat-3717	265	90	0.0194	0.0194	NUM
easat-3717	265	91	70	70	NUM
easat-3717	265	92	0.01861	0.01861	NUM
easat-3717	265	93	80	80	NUM
easat-3717	265	94	0.01849	0.01849	NUM
easat-3717	265	95	the	the	DET
easat-3717	265	96	table	table	NOUN
easat-3717	265	97	below	below	ADV
easat-3717	265	98	shows	show	VERB
easat-3717	265	99	the	the	DET
easat-3717	265	100	symmetric	symmetric	ADJ
easat-3717	265	101	mean	mean	ADJ
easat-3717	265	102	absolute	absolute	ADJ
easat-3717	265	103	percentage	percentage	NOUN
easat-3717	265	104	error	error	NOUN
easat-3717	265	105	(	(	PUNCT
easat-3717	265	106	smape	smape	NOUN
easat-3717	265	107	)	)	PUNCT
easat-3717	265	108	values	value	NOUN
easat-3717	265	109	for	for	ADP
easat-3717	265	110	various	various	ADJ
easat-3717	265	111	optimization	optimization	NOUN
easat-3717	265	112	algorithms	algorithm	NOUN
easat-3717	265	113	,	,	PUNCT
easat-3717	265	114	including	include	VERB
easat-3717	265	115	particle	particle	NOUN
easat-3717	265	116	swarm	swarm	NOUN
easat-3717	265	117	optimisation	optimisation	NOUN
easat-3717	265	118	(	(	PUNCT
easat-3717	265	119	pso	pso	NOUN
easat-3717	265	120	)	)	PUNCT
easat-3717	265	121	,	,	PUNCT
easat-3717	265	122	grey	grey	ADJ
easat-3717	265	123	wolf	wolf	PROPN
easat-3717	265	124	optimizer	optimizer	NOUN
easat-3717	265	125	(	(	PUNCT
easat-3717	265	126	gwo	gwo	PROPN
easat-3717	265	127	)	)	PUNCT
easat-3717	265	128	,	,	PUNCT
easat-3717	265	129	jaya	jaya	PROPN
easat-3717	265	130	,	,	PUNCT
easat-3717	265	131	random	random	ADJ
easat-3717	265	132	search	search	NOUN
easat-3717	265	133	algorithm	algorithm	NOUN
easat-3717	265	134	(	(	PUNCT
easat-3717	265	135	rsa	rsa	NOUN
easat-3717	265	136	)	)	PUNCT
easat-3717	265	137	,	,	PUNCT
easat-3717	265	138	and	and	CCONJ
easat-3717	265	139	walrus	walrus	PROPN
easat-3717	265	140	optimisation	optimisation	NOUN
easat-3717	265	141	algorithm	algorithm	NOUN
easat-3717	265	142	(	(	PUNCT
easat-3717	265	143	woa	woa	PROPN
easat-3717	265	144	)	)	PUNCT
easat-3717	265	145	,	,	PUNCT
easat-3717	265	146	at	at	ADP
easat-3717	265	147	different	different	ADJ
easat-3717	265	148	learning	learning	NOUN
easat-3717	265	149	percentages	percentage	NOUN
easat-3717	265	150	(	(	PUNCT
easat-3717	265	151	40	40	NUM
easat-3717	265	152	%	%	NOUN
easat-3717	265	153	,	,	PUNCT
easat-3717	265	154	50	50	NUM
easat-3717	265	155	%	%	NOUN
easat-3717	265	156	,	,	PUNCT
easat-3717	265	157	60	60	NUM
easat-3717	265	158	%	%	NOUN
easat-3717	265	159	,	,	PUNCT
easat-3717	265	160	70	70	NUM
easat-3717	265	161	%	%	NOUN
easat-3717	265	162	,	,	PUNCT
easat-3717	265	163	and	and	CCONJ
easat-3717	265	164	80	80	NUM
easat-3717	265	165	%	%	NOUN
easat-3717	265	166	)	)	PUNCT
easat-3717	265	167	.	.	PUNCT
easat-3717	266	1	the	the	DET
easat-3717	266	2	smape	smape	NOUN
easat-3717	266	3	metric	metric	ADJ
easat-3717	266	4	measures	measure	NOUN
easat-3717	266	5	prediction	prediction	NOUN
easat-3717	266	6	accuracy	accuracy	NOUN
easat-3717	266	7	,	,	PUNCT
easat-3717	266	8	with	with	ADP
easat-3717	266	9	lower	low	ADJ
easat-3717	266	10	values	value	NOUN
easat-3717	266	11	indicating	indicate	VERB
easat-3717	266	12	greater	great	ADJ
easat-3717	266	13	performance	performance	NOUN
easat-3717	266	14	.	.	PUNCT
easat-3717	267	1	analyzing	analyze	VERB
easat-3717	267	2	the	the	DET
easat-3717	267	3	findings	finding	NOUN
easat-3717	267	4	,	,	PUNCT
easat-3717	267	5	it	it	PRON
easat-3717	267	6	is	be	AUX
easat-3717	267	7	clear	clear	ADJ
easat-3717	267	8	that	that	SCONJ
easat-3717	267	9	woa	woa	VERB
easat-3717	267	10	consistently	consistently	ADV
easat-3717	267	11	has	have	VERB
easat-3717	267	12	the	the	DET
easat-3717	267	13	lowest	low	ADJ
easat-3717	267	14	smape	smape	NOUN
easat-3717	267	15	values	value	NOUN
easat-3717	267	16	among	among	ADP
easat-3717	267	17	the	the	DET
easat-3717	267	18	algorithms	algorithm	NOUN
easat-3717	267	19	at	at	ADP
easat-3717	267	20	each	each	DET
easat-3717	267	21	learning	learn	VERB
easat-3717	267	22	percentage	percentage	NOUN
easat-3717	267	23	,	,	PUNCT
easat-3717	267	24	showing	show	VERB
easat-3717	267	25	higher	high	ADJ
easat-3717	267	26	accuracy	accuracy	NOUN
easat-3717	267	27	in	in	ADP
easat-3717	267	28	forecasting	forecast	VERB
easat-3717	267	29	outcomes	outcome	NOUN
easat-3717	267	30	.	.	PUNCT
easat-3717	268	1	perhaps	perhaps	ADV
easat-3717	268	2	due	due	ADP
easat-3717	268	3	to	to	ADP
easat-3717	268	4	its	its	PRON
easat-3717	268	5	strong	strong	ADJ
easat-3717	268	6	optimization	optimization	NOUN
easat-3717	268	7	process	process	NOUN
easat-3717	268	8	that	that	PRON
easat-3717	268	9	captures	capture	VERB
easat-3717	268	10	the	the	DET
easat-3717	268	11	underlying	underlie	VERB
easat-3717	268	12	data	datum	NOUN
easat-3717	268	13	distribution	distribution	NOUN
easat-3717	268	14	and	and	CCONJ
easat-3717	268	15	reduces	reduce	VERB
easat-3717	268	16	forecast	forecast	NOUN
easat-3717	268	17	disparities	disparity	NOUN
easat-3717	268	18	.	.	PUNCT
easat-3717	269	1	table	table	NOUN
easat-3717	269	2	8	8	NUM
easat-3717	269	3	.	.	PUNCT
easat-3717	270	1	two	two	NUM
easat-3717	270	2	-	-	PUNCT
easat-3717	270	3	norm	norm	NOUN
easat-3717	270	4	.	.	PUNCT
easat-3717	271	1	learning	learn	VERB
easat-3717	271	2	percentage%	percentage%	NUM
easat-3717	271	3	two	two	NUM
easat-3717	271	4	-	-	PUNCT
easat-3717	271	5	norm	norm	NOUN
easat-3717	271	6	pso	pso	NOUN
easat-3717	271	7	40	40	NUM
easat-3717	271	8	2972.5322	2972.5322	NUM
easat-3717	271	9	50	50	NUM
easat-3717	271	10	2672.103	2672.103	NUM
easat-3717	271	11	60	60	NUM
easat-3717	271	12	2689.2704	2689.2704	NUM
easat-3717	271	13	70	70	NUM
easat-3717	271	14	2387.1245	2387.1245	NUM
easat-3717	271	15	80	80	NUM
easat-3717	271	16	2455.794	2455.794	NUM
easat-3717	271	17	gwo	gwo	NOUN
easat-3717	271	18	40	40	NUM
easat-3717	271	19	2766.5236	2766.5236	NUM
easat-3717	271	20	50	50	NUM
easat-3717	271	21	2661.8026	2661.8026	NUM
easat-3717	271	22	60	60	NUM
easat-3717	272	1	2723.6052	2723.6052	NUM
easat-3717	272	2	70	70	NUM
easat-3717	272	3	2419.7425	2419.7425	NUM
easat-3717	272	4	80	80	NUM
easat-3717	272	5	2246.3519	2246.3519	NUM
easat-3717	272	6	jaya	jaya	NOUN
easat-3717	272	7	40	40	NUM
easat-3717	273	1	2852.3605	2852.3605	NUM
easat-3717	273	2	50	50	NUM
easat-3717	273	3	2697.8541	2697.8541	NUM
easat-3717	273	4	60	60	NUM
easat-3717	273	5	2596.5665	2596.5665	NUM
easat-3717	273	6	70	70	NUM
easat-3717	273	7	2445.4936	2445.4936	NUM
easat-3717	273	8	80	80	NUM
easat-3717	273	9	2381.9742	2381.9742	NUM
easat-3717	273	10	7893	7893	NUM
easat-3717	273	11	edelweiss	edelweiss	PROPN
easat-3717	273	12	applied	apply	VERB
easat-3717	273	13	science	science	NOUN
easat-3717	273	14	and	and	CCONJ
easat-3717	273	15	technology	technology	NOUN
easat-3717	273	16	issn	issn	PROPN
easat-3717	273	17	:	:	PUNCT
easat-3717	273	18	2576	2576	NUM
easat-3717	273	19	-	-	SYM
easat-3717	273	20	8484	8484	NUM
easat-3717	273	21	vol	vol	NOUN
easat-3717	273	22	.	.	PROPN
easat-3717	273	23	8	8	NUM
easat-3717	273	24	,	,	PUNCT
easat-3717	273	25	no	no	INTJ
easat-3717	273	26	.	.	NOUN
easat-3717	273	27	6	6	NUM
easat-3717	273	28	:	:	PUNCT
easat-3717	273	29	7878	7878	NUM
easat-3717	273	30	-	-	SYM
easat-3717	273	31	7901	7901	NUM
easat-3717	273	32	,	,	PUNCT
easat-3717	273	33	2024	2024	NUM
easat-3717	273	34	doi	doi	NOUN
easat-3717	273	35	:	:	PUNCT
easat-3717	273	36	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	273	37	©	©	PROPN
easat-3717	273	38	2024	2024	NUM
easat-3717	273	39	by	by	ADP
easat-3717	273	40	the	the	DET
easat-3717	273	41	authors	author	NOUN
easat-3717	273	42	;	;	PUNCT
easat-3717	273	43	licensee	licensee	PROPN
easat-3717	273	44	learning	learning	PROPN
easat-3717	273	45	gate	gate	PROPN
easat-3717	273	46	rsa	rsa	PROPN
easat-3717	273	47	40	40	NUM
easat-3717	273	48	2934.7639	2934.7639	NUM
easat-3717	273	49	50	50	NUM
easat-3717	273	50	2757.9399	2757.9399	NUM
easat-3717	273	51	60	60	NUM
easat-3717	273	52	2617.1674	2617.1674	NUM
easat-3717	273	53	70	70	NUM
easat-3717	273	54	2498.7124	2498.7124	NOUN
easat-3717	273	55	80	80	NUM
easat-3717	273	56	2402.5751	2402.5751	NUM
easat-3717	273	57	woa	woa	VERB
easat-3717	273	58	40	40	NUM
easat-3717	273	59	2879.8283	2879.8283	NUM
easat-3717	273	60	50	50	NUM
easat-3717	273	61	2639.485	2639.485	NUM
easat-3717	273	62	60	60	NUM
easat-3717	273	63	2445.4936	2445.4936	NUM
easat-3717	273	64	70	70	NUM
easat-3717	274	1	2234.3348	2234.3348	NOUN
easat-3717	274	2	80	80	NUM
easat-3717	274	3	2308.1545	2308.1545	NUM
easat-3717	274	4	when	when	SCONJ
easat-3717	274	5	compared	compare	VERB
easat-3717	274	6	to	to	ADP
easat-3717	274	7	various	various	ADJ
easat-3717	274	8	optimization	optimization	NOUN
easat-3717	274	9	algorithms	algorithm	NOUN
easat-3717	274	10	in	in	ADP
easat-3717	274	11	the	the	DET
easat-3717	274	12	table	table	NOUN
easat-3717	274	13	,	,	PUNCT
easat-3717	274	14	our	our	PRON
easat-3717	274	15	suggested	suggest	VERB
easat-3717	274	16	walrus	walrus	PROPN
easat-3717	274	17	optimisation	optimisation	NOUN
easat-3717	274	18	algorithm	algorithm	NOUN
easat-3717	274	19	(	(	PUNCT
easat-3717	274	20	woa	woa	INTJ
easat-3717	274	21	)	)	PUNCT
easat-3717	274	22	outperforms	outperform	VERB
easat-3717	274	23	them	they	PRON
easat-3717	274	24	.	.	PUNCT
easat-3717	275	1	woa	woa	AUX
easat-3717	275	2	consistently	consistently	ADV
easat-3717	275	3	outperforms	outperform	VERB
easat-3717	275	4	particle	particle	NOUN
easat-3717	275	5	swarm	swarm	NOUN
easat-3717	275	6	optimisation	optimisation	NOUN
easat-3717	275	7	(	(	PUNCT
easat-3717	275	8	pso	pso	NOUN
easat-3717	275	9	)	)	PUNCT
easat-3717	275	10	,	,	PUNCT
easat-3717	275	11	grey	grey	ADJ
easat-3717	275	12	wolf	wolf	PROPN
easat-3717	275	13	optimizer	optimizer	NOUN
easat-3717	275	14	(	(	PUNCT
easat-3717	275	15	gwo	gwo	PROPN
easat-3717	275	16	)	)	PUNCT
easat-3717	275	17	,	,	PUNCT
easat-3717	275	18	jaya	jaya	PROPN
easat-3717	275	19	,	,	PUNCT
easat-3717	275	20	and	and	CCONJ
easat-3717	275	21	random	random	ADJ
easat-3717	275	22	search	search	NOUN
easat-3717	275	23	algorithm	algorithm	NOUN
easat-3717	275	24	(	(	PUNCT
easat-3717	275	25	rsa	rsa	NOUN
easat-3717	275	26	)	)	PUNCT
easat-3717	275	27	at	at	ADP
easat-3717	275	28	each	each	DET
easat-3717	275	29	learning	learn	VERB
easat-3717	275	30	percentage	percentage	NOUN
easat-3717	275	31	(	(	PUNCT
easat-3717	275	32	40	40	NUM
easat-3717	275	33	%	%	NOUN
easat-3717	275	34	,	,	PUNCT
easat-3717	275	35	50	50	NUM
easat-3717	275	36	%	%	NOUN
easat-3717	275	37	,	,	PUNCT
easat-3717	275	38	60	60	NUM
easat-3717	275	39	%	%	NOUN
easat-3717	275	40	,	,	PUNCT
easat-3717	275	41	70	70	NUM
easat-3717	275	42	%	%	NOUN
easat-3717	275	43	,	,	PUNCT
easat-3717	275	44	and	and	CCONJ
easat-3717	275	45	80	80	NUM
easat-3717	275	46	%	%	NOUN
easat-3717	275	47	)	)	PUNCT
easat-3717	275	48	.	.	PUNCT
easat-3717	276	1	lower	low	ADJ
easat-3717	276	2	two	two	NUM
easat-3717	276	3	-	-	PUNCT
easat-3717	276	4	norm	norm	NOUN
easat-3717	276	5	values	value	NOUN
easat-3717	276	6	suggest	suggest	VERB
easat-3717	276	7	that	that	SCONJ
easat-3717	276	8	woa	woa	VERB
easat-3717	276	9	produces	produce	VERB
easat-3717	276	10	better	well	ADJ
easat-3717	276	11	optimization	optimization	NOUN
easat-3717	276	12	outcomes	outcome	NOUN
easat-3717	276	13	,	,	PUNCT
easat-3717	276	14	indicating	indicate	VERB
easat-3717	276	15	increased	increase	VERB
easat-3717	276	16	efficiency	efficiency	NOUN
easat-3717	276	17	and	and	CCONJ
easat-3717	276	18	efficacy	efficacy	NOUN
easat-3717	276	19	in	in	ADP
easat-3717	276	20	tackling	tackle	VERB
easat-3717	276	21	the	the	DET
easat-3717	276	22	optimization	optimization	NOUN
easat-3717	276	23	challenge	challenge	NOUN
easat-3717	276	24	at	at	ADP
easat-3717	276	25	hand	hand	NOUN
easat-3717	276	26	.	.	PUNCT
easat-3717	277	1	this	this	DET
easat-3717	277	2	consistent	consistent	ADJ
easat-3717	277	3	performance	performance	NOUN
easat-3717	277	4	over	over	ADP
easat-3717	277	5	varied	varied	ADJ
easat-3717	277	6	learning	learning	NOUN
easat-3717	277	7	percentages	percentage	NOUN
easat-3717	277	8	highlights	highlight	VERB
easat-3717	277	9	our	our	PRON
easat-3717	277	10	proposed	propose	VERB
easat-3717	277	11	algorithm	algorithm	NOUN
easat-3717	277	12	's	's	PART
easat-3717	277	13	superiority	superiority	NOUN
easat-3717	277	14	,	,	PUNCT
easat-3717	277	15	making	make	VERB
easat-3717	277	16	it	it	PRON
easat-3717	277	17	an	an	DET
easat-3717	277	18	appealing	appealing	ADJ
easat-3717	277	19	option	option	NOUN
easat-3717	277	20	for	for	ADP
easat-3717	277	21	optimization	optimization	NOUN
easat-3717	277	22	tasks	task	NOUN
easat-3717	277	23	when	when	SCONJ
easat-3717	277	24	compared	compare	VERB
easat-3717	277	25	to	to	ADP
easat-3717	277	26	current	current	ADJ
easat-3717	277	27	alternatives	alternative	NOUN
easat-3717	277	28	.	.	PUNCT
easat-3717	278	1	its	its	PRON
easat-3717	278	2	precision	precision	NOUN
easat-3717	278	3	and	and	CCONJ
easat-3717	278	4	efficacy	efficacy	NOUN
easat-3717	278	5	in	in	ADP
easat-3717	278	6	optimizing	optimize	VERB
easat-3717	278	7	complicated	complicated	ADJ
easat-3717	278	8	objective	objective	ADJ
easat-3717	278	9	functions	function	NOUN
easat-3717	278	10	make	make	VERB
easat-3717	278	11	it	it	PRON
easat-3717	278	12	a	a	DET
easat-3717	278	13	popular	popular	ADJ
easat-3717	278	14	option	option	NOUN
easat-3717	278	15	for	for	ADP
easat-3717	278	16	a	a	DET
easat-3717	278	17	broad	broad	ADJ
easat-3717	278	18	variety	variety	NOUN
easat-3717	278	19	of	of	ADP
easat-3717	278	20	optimization	optimization	NOUN
easat-3717	278	21	problems	problem	NOUN
easat-3717	278	22	.	.	PUNCT
easat-3717	279	1	figure	figure	VERB
easat-3717	279	2	3	3	NUM
easat-3717	279	3	.	.	NOUN
easat-3717	279	4	infinity	infinity	NOUN
easat-3717	279	5	norm	norm	NOUN
easat-3717	279	6	.	.	PUNCT
easat-3717	280	1	the	the	DET
easat-3717	280	2	above	above	ADJ
easat-3717	280	3	graph	graph	NOUN
easat-3717	280	4	shows	show	VERB
easat-3717	280	5	that	that	SCONJ
easat-3717	280	6	the	the	DET
easat-3717	280	7	walrus	walrus	PROPN
easat-3717	280	8	optimisation	optimisation	NOUN
easat-3717	280	9	algorithm	algorithm	NOUN
easat-3717	280	10	(	(	PUNCT
easat-3717	280	11	woa	woa	INTJ
easat-3717	280	12	)	)	PUNCT
easat-3717	280	13	demonstrates	demonstrate	VERB
easat-3717	280	14	various	various	ADJ
easat-3717	280	15	patterns	pattern	NOUN
easat-3717	280	16	in	in	ADP
easat-3717	280	17	its	its	PRON
easat-3717	280	18	performance	performance	NOUN
easat-3717	280	19	across	across	ADP
easat-3717	280	20	varied	varied	ADJ
easat-3717	280	21	support	support	NOUN
easat-3717	280	22	vector	vector	NOUN
easat-3717	280	23	regression	regression	NOUN
easat-3717	280	24	(	(	PUNCT
easat-3717	280	25	svr	svr	NOUN
easat-3717	280	26	)	)	PUNCT
easat-3717	280	27	percentages	percentage	NOUN
easat-3717	280	28	.	.	PUNCT
easat-3717	281	1	the	the	DET
easat-3717	281	2	infinitynorm	infinitynorm	NOUN
easat-3717	281	3	results	result	VERB
easat-3717	281	4	for	for	SCONJ
easat-3717	281	5	woa	woa	VERB
easat-3717	281	6	at	at	ADP
easat-3717	281	7	35	35	NUM
easat-3717	281	8	%	%	NOUN
easat-3717	281	9	,	,	PUNCT
easat-3717	281	10	55	55	NUM
easat-3717	281	11	%	%	NOUN
easat-3717	281	12	,	,	PUNCT
easat-3717	281	13	65	65	NUM
easat-3717	281	14	%	%	NOUN
easat-3717	281	15	,	,	PUNCT
easat-3717	281	16	75	75	NUM
easat-3717	281	17	%	%	NOUN
easat-3717	281	18	,	,	PUNCT
easat-3717	281	19	and	and	CCONJ
easat-3717	281	20	85	85	NUM
easat-3717	281	21	%	%	NOUN
easat-3717	281	22	svr	svr	NOUN
easat-3717	281	23	offer	offer	VERB
easat-3717	281	24	a	a	DET
easat-3717	281	25	thorough	thorough	ADJ
easat-3717	281	26	perspective	perspective	NOUN
easat-3717	281	27	of	of	ADP
easat-3717	281	28	how	how	SCONJ
easat-3717	281	29	the	the	DET
easat-3717	281	30	algorithm	algorithm	NOUN
easat-3717	281	31	reacts	react	VERB
easat-3717	281	32	to	to	ADP
easat-3717	281	33	various	various	ADJ
easat-3717	281	34	degrees	degree	NOUN
easat-3717	281	35	of	of	ADP
easat-3717	281	36	regression	regression	NOUN
easat-3717	281	37	assistance	assistance	NOUN
easat-3717	281	38	.	.	PUNCT
easat-3717	282	1	notably	notably	ADV
easat-3717	282	2	,	,	PUNCT
easat-3717	282	3	woa	woa	AUX
easat-3717	282	4	exhibits	exhibit	VERB
easat-3717	282	5	a	a	DET
easat-3717	282	6	gradual	gradual	ADJ
easat-3717	282	7	increase	increase	NOUN
easat-3717	282	8	in	in	ADP
easat-3717	282	9	infinity	infinity	NOUN
easat-3717	282	10	-	-	PUNCT
easat-3717	282	11	norm	norm	NOUN
easat-3717	282	12	values	value	NOUN
easat-3717	282	13	as	as	ADP
easat-3717	282	14	the	the	DET
easat-3717	282	15	svr	svr	PROPN
easat-3717	282	16	%	%	NOUN
easat-3717	282	17	increases	increase	NOUN
easat-3717	282	18	,	,	PUNCT
easat-3717	282	19	showing	show	VERB
easat-3717	282	20	a	a	DET
easat-3717	282	21	possible	possible	ADJ
easat-3717	282	22	association	association	NOUN
easat-3717	282	23	between	between	ADP
easat-3717	282	24	the	the	DET
easat-3717	282	25	algorithm	algorithm	NOUN
easat-3717	282	26	's	's	PART
easat-3717	282	27	performance	performance	NOUN
easat-3717	282	28	and	and	CCONJ
easat-3717	282	29	the	the	DET
easat-3717	282	30	degree	degree	NOUN
easat-3717	282	31	of	of	ADP
easat-3717	282	32	support	support	NOUN
easat-3717	282	33	vector	vector	NOUN
easat-3717	282	34	regression	regression	NOUN
easat-3717	282	35	.	.	PUNCT
easat-3717	283	1	this	this	DET
easat-3717	283	2	pattern	pattern	NOUN
easat-3717	283	3	shows	show	VERB
easat-3717	283	4	that	that	SCONJ
easat-3717	283	5	woa	woa	VERB
easat-3717	283	6	may	may	AUX
easat-3717	283	7	adapt	adapt	VERB
easat-3717	283	8	and	and	CCONJ
easat-3717	283	9	optimize	optimize	VERB
easat-3717	283	10	its	its	PRON
easat-3717	283	11	solutions	solution	NOUN
easat-3717	283	12	more	more	ADV
easat-3717	283	13	dynamically	dynamically	ADV
easat-3717	283	14	in	in	ADP
easat-3717	283	15	settings	setting	NOUN
easat-3717	283	16	with	with	ADP
easat-3717	283	17	stronger	strong	ADJ
easat-3717	283	18	regression	regression	NOUN
easat-3717	283	19	support	support	NOUN
easat-3717	283	20	.	.	PUNCT
easat-3717	284	1	7894	7894	NUM
easat-3717	284	2	edelweiss	edelweiss	PROPN
easat-3717	284	3	applied	apply	VERB
easat-3717	284	4	science	science	NOUN
easat-3717	284	5	and	and	CCONJ
easat-3717	284	6	technology	technology	NOUN
easat-3717	284	7	issn	issn	PROPN
easat-3717	284	8	:	:	PUNCT
easat-3717	284	9	2576	2576	NUM
easat-3717	284	10	-	-	SYM
easat-3717	284	11	8484	8484	NUM
easat-3717	284	12	vol	vol	NOUN
easat-3717	284	13	.	.	PROPN
easat-3717	284	14	8	8	NUM
easat-3717	284	15	,	,	PUNCT
easat-3717	284	16	no	no	INTJ
easat-3717	284	17	.	.	NOUN
easat-3717	284	18	6	6	NUM
easat-3717	284	19	:	:	PUNCT
easat-3717	284	20	7878	7878	NUM
easat-3717	284	21	-	-	SYM
easat-3717	284	22	7901	7901	NUM
easat-3717	284	23	,	,	PUNCT
easat-3717	284	24	2024	2024	NUM
easat-3717	284	25	doi	doi	NOUN
easat-3717	284	26	:	:	PUNCT
easat-3717	284	27	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	284	28	©	©	PROPN
easat-3717	284	29	2024	2024	NUM
easat-3717	284	30	by	by	ADP
easat-3717	284	31	the	the	DET
easat-3717	284	32	authors	author	NOUN
easat-3717	284	33	;	;	PUNCT
easat-3717	284	34	licensee	licensee	PROPN
easat-3717	284	35	learning	learn	VERB
easat-3717	284	36	gate	gate	NOUN
easat-3717	284	37	figure	figure	NOUN
easat-3717	284	38	4	4	NUM
easat-3717	284	39	.	.	PUNCT
easat-3717	284	40	mae	mae	PROPN
easat-3717	284	41	.	.	PUNCT
easat-3717	285	1	it	it	PRON
easat-3717	285	2	is	be	AUX
easat-3717	285	3	clear	clear	ADJ
easat-3717	285	4	from	from	ADP
easat-3717	285	5	the	the	DET
easat-3717	285	6	mean	mean	ADJ
easat-3717	285	7	absolute	absolute	ADJ
easat-3717	285	8	error	error	NOUN
easat-3717	285	9	(	(	PUNCT
easat-3717	285	10	mae	mae	PROPN
easat-3717	285	11	)	)	PUNCT
easat-3717	285	12	graph	graph	NOUN
easat-3717	285	13	that	that	PRON
easat-3717	285	14	the	the	DET
easat-3717	285	15	walrus	walrus	PROPN
easat-3717	285	16	optimisation	optimisation	NOUN
easat-3717	285	17	approach	approach	NOUN
easat-3717	285	18	(	(	PUNCT
easat-3717	285	19	woa	woa	PROPN
easat-3717	285	20	)	)	PUNCT
easat-3717	285	21	,	,	PUNCT
easat-3717	285	22	which	which	PRON
easat-3717	285	23	is	be	AUX
easat-3717	285	24	the	the	DET
easat-3717	285	25	suggested	suggest	VERB
easat-3717	285	26	approach	approach	NOUN
easat-3717	285	27	,	,	PUNCT
easat-3717	285	28	performs	perform	VERB
easat-3717	285	29	competitively	competitively	ADV
easat-3717	285	30	at	at	ADP
easat-3717	285	31	different	different	ADJ
easat-3717	285	32	support	support	NOUN
easat-3717	285	33	vector	vector	NOUN
easat-3717	285	34	regression	regression	NOUN
easat-3717	285	35	(	(	PUNCT
easat-3717	285	36	svr	svr	NOUN
easat-3717	285	37	)	)	PUNCT
easat-3717	285	38	percentages	percentage	NOUN
easat-3717	285	39	.	.	PUNCT
easat-3717	286	1	as	as	SCONJ
easat-3717	286	2	can	can	AUX
easat-3717	286	3	be	be	AUX
easat-3717	286	4	seen	see	VERB
easat-3717	286	5	from	from	ADP
easat-3717	286	6	the	the	DET
easat-3717	286	7	mae	mae	PROPN
easat-3717	286	8	figures	figure	NOUN
easat-3717	286	9	at	at	ADP
easat-3717	286	10	35	35	NUM
easat-3717	286	11	%	%	NOUN
easat-3717	286	12	,	,	PUNCT
easat-3717	286	13	55	55	NUM
easat-3717	286	14	%	%	NOUN
easat-3717	286	15	,	,	PUNCT
easat-3717	286	16	65	65	NUM
easat-3717	286	17	%	%	NOUN
easat-3717	286	18	,	,	PUNCT
easat-3717	286	19	75	75	NUM
easat-3717	286	20	%	%	NOUN
easat-3717	286	21	,	,	PUNCT
easat-3717	286	22	and	and	CCONJ
easat-3717	286	23	85	85	NUM
easat-3717	286	24	%	%	NOUN
easat-3717	286	25	svr	svr	NOUN
easat-3717	286	26	,	,	PUNCT
easat-3717	286	27	woa	woa	VERB
easat-3717	286	28	consistently	consistently	ADV
easat-3717	286	29	minimizes	minimize	VERB
easat-3717	286	30	absolute	absolute	ADJ
easat-3717	286	31	errors	error	NOUN
easat-3717	286	32	.	.	PUNCT
easat-3717	287	1	specifically	specifically	ADV
easat-3717	287	2	,	,	PUNCT
easat-3717	287	3	notable	notable	ADJ
easat-3717	287	4	is	be	AUX
easat-3717	287	5	the	the	DET
easat-3717	287	6	low	low	ADJ
easat-3717	287	7	mae	mae	PROPN
easat-3717	287	8	of	of	ADP
easat-3717	287	9	2.301794167	2.301794167	NUM
easat-3717	287	10	that	that	PRON
easat-3717	287	11	woa	woa	VERB
easat-3717	287	12	obtains	obtain	VERB
easat-3717	287	13	at	at	ADP
easat-3717	287	14	85	85	NUM
easat-3717	287	15	%	%	NOUN
easat-3717	287	16	svr	svr	NOUN
easat-3717	287	17	,	,	PUNCT
easat-3717	287	18	indicating	indicate	VERB
easat-3717	287	19	that	that	SCONJ
easat-3717	287	20	the	the	DET
easat-3717	287	21	algorithm	algorithm	NOUN
easat-3717	287	22	is	be	AUX
easat-3717	287	23	particularly	particularly	ADV
easat-3717	287	24	good	good	ADJ
easat-3717	287	25	at	at	ADP
easat-3717	287	26	capturing	capture	VERB
easat-3717	287	27	and	and	CCONJ
easat-3717	287	28	minimizing	minimize	VERB
easat-3717	287	29	differences	difference	NOUN
easat-3717	287	30	between	between	ADP
easat-3717	287	31	predicted	predict	VERB
easat-3717	287	32	and	and	CCONJ
easat-3717	287	33	actual	actual	ADJ
easat-3717	287	34	values	value	NOUN
easat-3717	287	35	with	with	ADP
easat-3717	287	36	increased	increase	VERB
easat-3717	287	37	regression	regression	NOUN
easat-3717	287	38	support	support	NOUN
easat-3717	287	39	.	.	PUNCT
easat-3717	288	1	this	this	DET
easat-3717	288	2	finding	finding	NOUN
easat-3717	288	3	highlights	highlight	NOUN
easat-3717	288	4	woa	woa	VERB
easat-3717	288	5	's	's	PART
easat-3717	288	6	competitive	competitive	ADJ
easat-3717	288	7	performance	performance	NOUN
easat-3717	288	8	against	against	ADP
easat-3717	288	9	other	other	ADJ
easat-3717	288	10	algorithms	algorithm	NOUN
easat-3717	288	11	,	,	PUNCT
easat-3717	288	12	which	which	PRON
easat-3717	288	13	indicates	indicate	VERB
easat-3717	288	14	its	its	PRON
easat-3717	288	15	potential	potential	ADJ
easat-3717	288	16	effectiveness	effectiveness	NOUN
easat-3717	288	17	in	in	ADP
easat-3717	288	18	circumstances	circumstance	NOUN
easat-3717	288	19	requiring	require	VERB
easat-3717	288	20	accuracy	accuracy	NOUN
easat-3717	288	21	and	and	CCONJ
easat-3717	288	22	precision	precision	NOUN
easat-3717	288	23	.	.	PUNCT
easat-3717	289	1	evidence	evidence	NOUN
easat-3717	289	2	reveals	reveal	VERB
easat-3717	289	3	that	that	SCONJ
easat-3717	289	4	woa	woa	VERB
easat-3717	289	5	is	be	AUX
easat-3717	289	6	a	a	DET
easat-3717	289	7	dependable	dependable	ADJ
easat-3717	289	8	option	option	NOUN
easat-3717	289	9	for	for	ADP
easat-3717	289	10	accurate	accurate	ADJ
easat-3717	289	11	forecasts	forecast	NOUN
easat-3717	289	12	as	as	SCONJ
easat-3717	289	13	it	it	PRON
easat-3717	289	14	successfully	successfully	ADV
easat-3717	289	15	lowers	lower	VERB
easat-3717	289	16	prediction	prediction	NOUN
easat-3717	289	17	mistakes	mistake	NOUN
easat-3717	289	18	.	.	PUNCT
easat-3717	290	1	figure	figure	NOUN
easat-3717	290	2	5	5	NUM
easat-3717	290	3	.	.	PUNCT
easat-3717	291	1	mase	mase	PROPN
easat-3717	291	2	.	.	PUNCT
easat-3717	292	1	the	the	DET
easat-3717	292	2	graph	graph	NOUN
easat-3717	292	3	's	's	PART
easat-3717	292	4	mean	mean	ADJ
easat-3717	292	5	absolute	absolute	ADJ
easat-3717	292	6	scaled	scale	VERB
easat-3717	292	7	error	error	NOUN
easat-3717	292	8	(	(	PUNCT
easat-3717	292	9	mase	mase	PROPN
easat-3717	292	10	)	)	PUNCT
easat-3717	292	11	numbers	number	NOUN
easat-3717	292	12	provide	provide	VERB
easat-3717	292	13	important	important	ADJ
easat-3717	292	14	information	information	NOUN
easat-3717	292	15	on	on	ADP
easat-3717	292	16	how	how	SCONJ
easat-3717	292	17	different	different	ADJ
easat-3717	292	18	methods	method	NOUN
easat-3717	292	19	for	for	ADP
easat-3717	292	20	percentages	percentage	NOUN
easat-3717	292	21	(	(	PUNCT
easat-3717	292	22	35	35	NUM
easat-3717	292	23	%	%	NOUN
easat-3717	292	24	,	,	PUNCT
easat-3717	292	25	55	55	NUM
easat-3717	292	26	%	%	NOUN
easat-3717	292	27	,	,	PUNCT
easat-3717	292	28	65	65	NUM
easat-3717	292	29	%	%	NOUN
easat-3717	292	30	,	,	PUNCT
easat-3717	292	31	75	75	NUM
easat-3717	292	32	%	%	NOUN
easat-3717	292	33	,	,	PUNCT
easat-3717	292	34	and	and	CCONJ
easat-3717	292	35	85	85	NUM
easat-3717	292	36	%	%	NOUN
easat-3717	292	37	)	)	PUNCT
easat-3717	292	38	perform	perform	NOUN
easat-3717	292	39	.	.	PUNCT
easat-3717	293	1	woa	woa	VERB
easat-3717	293	2	,	,	PUNCT
easat-3717	293	3	the	the	DET
easat-3717	293	4	walrus	walrus	PROPN
easat-3717	293	5	7895	7895	NUM
easat-3717	293	6	edelweiss	edelweiss	PROPN
easat-3717	293	7	applied	apply	VERB
easat-3717	293	8	science	science	NOUN
easat-3717	293	9	and	and	CCONJ
easat-3717	293	10	technology	technology	NOUN
easat-3717	293	11	issn	issn	PROPN
easat-3717	293	12	:	:	PUNCT
easat-3717	293	13	2576	2576	NUM
easat-3717	293	14	-	-	SYM
easat-3717	293	15	8484	8484	NUM
easat-3717	293	16	vol	vol	NOUN
easat-3717	293	17	.	.	PROPN
easat-3717	293	18	8	8	NUM
easat-3717	293	19	,	,	PUNCT
easat-3717	293	20	no	no	INTJ
easat-3717	293	21	.	.	NOUN
easat-3717	293	22	6	6	NUM
easat-3717	293	23	:	:	PUNCT
easat-3717	293	24	7878	7878	NUM
easat-3717	293	25	-	-	SYM
easat-3717	293	26	7901	7901	NUM
easat-3717	293	27	,	,	PUNCT
easat-3717	293	28	2024	2024	NUM
easat-3717	293	29	doi	doi	NOUN
easat-3717	293	30	:	:	PUNCT
easat-3717	293	31	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	293	32	©	©	PROPN
easat-3717	293	33	2024	2024	NUM
easat-3717	293	34	by	by	ADP
easat-3717	293	35	the	the	DET
easat-3717	293	36	authors	author	NOUN
easat-3717	293	37	;	;	PUNCT
easat-3717	293	38	licensee	licensee	PROPN
easat-3717	293	39	learning	learning	NOUN
easat-3717	293	40	gate	gate	PROPN
easat-3717	293	41	optimisation	optimisation	NOUN
easat-3717	293	42	method	method	NOUN
easat-3717	293	43	,	,	PUNCT
easat-3717	293	44	is	be	AUX
easat-3717	293	45	a	a	DET
easat-3717	293	46	suggested	suggest	VERB
easat-3717	293	47	method	method	NOUN
easat-3717	293	48	that	that	PRON
easat-3717	293	49	exhibits	exhibit	VERB
easat-3717	293	50	competitive	competitive	ADJ
easat-3717	293	51	performance	performance	NOUN
easat-3717	293	52	in	in	ADP
easat-3717	293	53	minimising	minimise	VERB
easat-3717	293	54	mase	mase	PROPN
easat-3717	293	55	values	value	NOUN
easat-3717	293	56	,	,	PUNCT
easat-3717	293	57	hence	hence	ADV
easat-3717	293	58	demonstrating	demonstrate	VERB
easat-3717	293	59	its	its	PRON
easat-3717	293	60	efficacy	efficacy	NOUN
easat-3717	293	61	in	in	ADP
easat-3717	293	62	predicting	predict	VERB
easat-3717	293	63	accuracy	accuracy	NOUN
easat-3717	293	64	.	.	PUNCT
easat-3717	294	1	woa	woa	PROPN
easat-3717	294	2	obtains	obtain	VERB
easat-3717	294	3	a	a	DET
easat-3717	294	4	very	very	ADV
easat-3717	294	5	low	low	ADJ
easat-3717	294	6	mase	mase	NOUN
easat-3717	294	7	of	of	ADP
easat-3717	294	8	3.111924686	3.111924686	NUM
easat-3717	294	9	at	at	ADP
easat-3717	294	10	85	85	NUM
easat-3717	294	11	%	%	NOUN
easat-3717	294	12	svr	svr	NOUN
easat-3717	294	13	,	,	PUNCT
easat-3717	294	14	indicating	indicate	VERB
easat-3717	294	15	its	its	PRON
easat-3717	294	16	capacity	capacity	NOUN
easat-3717	294	17	to	to	PART
easat-3717	294	18	provide	provide	VERB
easat-3717	294	19	predictions	prediction	NOUN
easat-3717	294	20	that	that	PRON
easat-3717	294	21	are	be	AUX
easat-3717	294	22	precise	precise	ADJ
easat-3717	294	23	and	and	CCONJ
easat-3717	294	24	dependable	dependable	ADJ
easat-3717	294	25	with	with	ADP
easat-3717	294	26	lower	low	ADJ
easat-3717	294	27	absolute	absolute	ADJ
easat-3717	294	28	errors	error	NOUN
easat-3717	294	29	.	.	PUNCT
easat-3717	295	1	in	in	ADP
easat-3717	295	2	contrast	contrast	NOUN
easat-3717	295	3	,	,	PUNCT
easat-3717	295	4	various	various	ADJ
easat-3717	295	5	algorithms	algorithm	NOUN
easat-3717	295	6	that	that	PRON
easat-3717	295	7	show	show	VERB
easat-3717	295	8	differing	differ	VERB
easat-3717	295	9	performance	performance	NOUN
easat-3717	295	10	patterns	pattern	NOUN
easat-3717	295	11	at	at	ADP
easat-3717	295	12	different	different	ADJ
easat-3717	295	13	svr	svr	PROPN
easat-3717	295	14	percentages	percentage	NOUN
easat-3717	295	15	include	include	VERB
easat-3717	295	16	rnn	rnn	NOUN
easat-3717	295	17	,	,	PUNCT
easat-3717	295	18	svm	svm	ADJ
easat-3717	295	19	-	-	ADJ
easat-3717	295	20	lstm	lstm	ADJ
easat-3717	295	21	,	,	PUNCT
easat-3717	295	22	and	and	CCONJ
easat-3717	295	23	ensemble	ensemble	ADJ
easat-3717	295	24	-	-	PUNCT
easat-3717	295	25	rf	rf	NOUN
easat-3717	295	26	.	.	PUNCT
easat-3717	296	1	the	the	DET
easat-3717	296	2	mase	mase	PROPN
easat-3717	296	3	graph	graph	NOUN
easat-3717	296	4	's	's	PART
easat-3717	296	5	patterns	pattern	NOUN
easat-3717	296	6	demonstrate	demonstrate	VERB
easat-3717	296	7	woa	woa	VERB
easat-3717	296	8	's	's	PART
easat-3717	296	9	promise	promise	NOUN
easat-3717	296	10	as	as	ADP
easat-3717	296	11	a	a	DET
easat-3717	296	12	reliable	reliable	ADJ
easat-3717	296	13	forecasting	forecasting	NOUN
easat-3717	296	14	system	system	NOUN
easat-3717	296	15	,	,	PUNCT
easat-3717	296	16	especially	especially	ADV
easat-3717	296	17	in	in	ADP
easat-3717	296	18	situations	situation	NOUN
easat-3717	296	19	when	when	SCONJ
easat-3717	296	20	exact	exact	ADJ
easat-3717	296	21	forecasts	forecast	NOUN
easat-3717	296	22	are	be	AUX
easat-3717	296	23	needed	need	VERB
easat-3717	296	24	.	.	PUNCT
easat-3717	297	1	figure	figure	VERB
easat-3717	297	2	6	6	NUM
easat-3717	297	3	.	.	PUNCT
easat-3717	298	1	mep	mep	PROPN
easat-3717	298	2	.	.	PUNCT
easat-3717	299	1	the	the	DET
easat-3717	299	2	graph	graph	NOUN
easat-3717	299	3	displays	display	NOUN
easat-3717	299	4	mean	mean	VERB
easat-3717	299	5	percentage	percentage	NOUN
easat-3717	299	6	error	error	NOUN
easat-3717	299	7	(	(	PUNCT
easat-3717	299	8	mep	mep	PROPN
easat-3717	299	9	)	)	PUNCT
easat-3717	299	10	figures	figure	NOUN
easat-3717	299	11	that	that	PRON
easat-3717	299	12	provide	provide	VERB
easat-3717	299	13	a	a	DET
easat-3717	299	14	thorough	thorough	ADJ
easat-3717	299	15	overview	overview	NOUN
easat-3717	299	16	of	of	ADP
easat-3717	299	17	the	the	DET
easat-3717	299	18	performance	performance	NOUN
easat-3717	299	19	of	of	ADP
easat-3717	299	20	several	several	ADJ
easat-3717	299	21	algorithms	algorithm	NOUN
easat-3717	299	22	at	at	ADP
easat-3717	299	23	different	different	ADJ
easat-3717	299	24	percentages	percentage	NOUN
easat-3717	299	25	(	(	PUNCT
easat-3717	299	26	35	35	NUM
easat-3717	299	27	%	%	NOUN
easat-3717	299	28	,	,	PUNCT
easat-3717	299	29	55	55	NUM
easat-3717	299	30	%	%	NOUN
easat-3717	299	31	,	,	PUNCT
easat-3717	299	32	65	65	NUM
easat-3717	299	33	%	%	NOUN
easat-3717	299	34	,	,	PUNCT
easat-3717	299	35	75	75	NUM
easat-3717	299	36	%	%	NOUN
easat-3717	299	37	,	,	PUNCT
easat-3717	299	38	and	and	CCONJ
easat-3717	299	39	85	85	NUM
easat-3717	299	40	%	%	NOUN
easat-3717	299	41	)	)	PUNCT
easat-3717	299	42	.	.	PUNCT
easat-3717	300	1	in	in	ADP
easat-3717	300	2	these	these	DET
easat-3717	300	3	svr	svr	PROPN
easat-3717	300	4	settings	setting	NOUN
easat-3717	300	5	,	,	PUNCT
easat-3717	300	6	mep	mep	PROPN
easat-3717	300	7	values	value	NOUN
easat-3717	300	8	for	for	ADP
easat-3717	300	9	every	every	DET
easat-3717	300	10	algorithm	algorithm	NOUN
easat-3717	300	11	—	—	PUNCT
easat-3717	300	12	svr	svr	NOUN
easat-3717	300	13	,	,	PUNCT
easat-3717	300	14	svm	svm	ADJ
easat-3717	300	15	-	-	ADJ
easat-3717	300	16	lstm	lstm	ADJ
easat-3717	300	17	,	,	PUNCT
easat-3717	300	18	ensemble	ensemble	ADJ
easat-3717	300	19	-	-	PUNCT
easat-3717	300	20	rf	rf	NOUN
easat-3717	300	21	,	,	PUNCT
easat-3717	300	22	rnn	rnn	NOUN
easat-3717	300	23	,	,	PUNCT
easat-3717	300	24	ensemble	ensemble	ADJ
easat-3717	300	25	,	,	PUNCT
easat-3717	300	26	and	and	CCONJ
easat-3717	300	27	woa	woa	AUX
easat-3717	300	28	—	—	PUNCT
easat-3717	300	29	show	show	VERB
easat-3717	300	30	distinct	distinct	ADJ
easat-3717	300	31	patterns	pattern	NOUN
easat-3717	300	32	.	.	PUNCT
easat-3717	301	1	with	with	ADP
easat-3717	301	2	consistently	consistently	ADV
easat-3717	301	3	low	low	ADJ
easat-3717	301	4	mep	mep	PROPN
easat-3717	301	5	values	value	NOUN
easat-3717	301	6	across	across	ADP
easat-3717	301	7	all	all	DET
easat-3717	301	8	svr	svr	PROPN
easat-3717	301	9	percentages	percentage	NOUN
easat-3717	301	10	,	,	PUNCT
easat-3717	301	11	the	the	DET
easat-3717	301	12	walrus	walrus	PROPN
easat-3717	301	13	optimisation	optimisation	NOUN
easat-3717	301	14	algorithm	algorithm	NOUN
easat-3717	301	15	(	(	PUNCT
easat-3717	301	16	woa	woa	INTJ
easat-3717	301	17	)	)	PUNCT
easat-3717	301	18	is	be	AUX
easat-3717	301	19	particularly	particularly	ADV
easat-3717	301	20	noteworthy	noteworthy	ADJ
easat-3717	301	21	and	and	CCONJ
easat-3717	301	22	shows	show	VERB
easat-3717	301	23	promise	promise	NOUN
easat-3717	301	24	in	in	ADP
easat-3717	301	25	reducing	reduce	VERB
easat-3717	301	26	percentage	percentage	NOUN
easat-3717	301	27	mistakes	mistake	NOUN
easat-3717	301	28	in	in	ADP
easat-3717	301	29	forecasts	forecast	NOUN
easat-3717	301	30	.	.	PUNCT
easat-3717	302	1	with	with	ADP
easat-3717	302	2	an	an	DET
easat-3717	302	3	mep	mep	PROPN
easat-3717	302	4	of	of	ADP
easat-3717	302	5	1.476953076	1.476953076	NUM
easat-3717	302	6	,	,	PUNCT
easat-3717	302	7	woa	woa	INTJ
easat-3717	302	8	obtains	obtain	VERB
easat-3717	302	9	a	a	DET
easat-3717	302	10	very	very	ADV
easat-3717	302	11	strong	strong	ADJ
easat-3717	302	12	performance	performance	NOUN
easat-3717	302	13	at	at	ADP
easat-3717	302	14	85	85	NUM
easat-3717	302	15	%	%	NOUN
easat-3717	302	16	svr	svr	NOUN
easat-3717	302	17	,	,	PUNCT
easat-3717	302	18	indicating	indicate	VERB
easat-3717	302	19	its	its	PRON
easat-3717	302	20	accuracy	accuracy	NOUN
easat-3717	302	21	and	and	CCONJ
easat-3717	302	22	resilience	resilience	NOUN
easat-3717	302	23	in	in	ADP
easat-3717	302	24	predicting	predict	VERB
easat-3717	302	25	with	with	ADP
easat-3717	302	26	increased	increase	VERB
easat-3717	302	27	regression	regression	NOUN
easat-3717	302	28	assistance	assistance	NOUN
easat-3717	302	29	.	.	PUNCT
easat-3717	303	1	this	this	PRON
easat-3717	303	2	demonstrates	demonstrate	VERB
easat-3717	303	3	woa	woa	NOUN
easat-3717	303	4	's	's	PART
easat-3717	303	5	consistency	consistency	NOUN
easat-3717	303	6	in	in	ADP
easat-3717	303	7	generating	generate	VERB
easat-3717	303	8	predictions	prediction	NOUN
easat-3717	303	9	that	that	PRON
easat-3717	303	10	are	be	AUX
easat-3717	303	11	precise	precise	ADJ
easat-3717	303	12	and	and	CCONJ
easat-3717	303	13	have	have	VERB
easat-3717	303	14	few	few	ADJ
easat-3717	303	15	percentage	percentage	NOUN
easat-3717	303	16	mistakes	mistake	NOUN
easat-3717	303	17	.	.	PUNCT
easat-3717	304	1	7896	7896	NUM
easat-3717	304	2	edelweiss	edelweiss	PROPN
easat-3717	304	3	applied	apply	VERB
easat-3717	304	4	science	science	NOUN
easat-3717	304	5	and	and	CCONJ
easat-3717	304	6	technology	technology	NOUN
easat-3717	304	7	issn	issn	PROPN
easat-3717	304	8	:	:	PUNCT
easat-3717	304	9	2576	2576	NUM
easat-3717	304	10	-	-	SYM
easat-3717	304	11	8484	8484	NUM
easat-3717	304	12	vol	vol	NOUN
easat-3717	304	13	.	.	PROPN
easat-3717	304	14	8	8	NUM
easat-3717	304	15	,	,	PUNCT
easat-3717	304	16	no	no	INTJ
easat-3717	304	17	.	.	NOUN
easat-3717	304	18	6	6	NUM
easat-3717	304	19	:	:	PUNCT
easat-3717	304	20	7878	7878	NUM
easat-3717	304	21	-	-	SYM
easat-3717	304	22	7901	7901	NUM
easat-3717	304	23	,	,	PUNCT
easat-3717	304	24	2024	2024	NUM
easat-3717	304	25	doi	doi	NOUN
easat-3717	304	26	:	:	PUNCT
easat-3717	304	27	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	304	28	©	©	PROPN
easat-3717	304	29	2024	2024	NUM
easat-3717	304	30	by	by	ADP
easat-3717	304	31	the	the	DET
easat-3717	304	32	authors	author	NOUN
easat-3717	304	33	;	;	PUNCT
easat-3717	304	34	licensee	licensee	PROPN
easat-3717	304	35	learning	learn	VERB
easat-3717	304	36	gate	gate	NOUN
easat-3717	304	37	figure	figure	NOUN
easat-3717	304	38	7	7	NUM
easat-3717	304	39	.	.	PUNCT
easat-3717	304	40	one	one	NUM
easat-3717	304	41	norm	norm	NOUN
easat-3717	304	42	.	.	PUNCT
easat-3717	305	1	the	the	DET
easat-3717	305	2	graph	graph	NOUN
easat-3717	305	3	's	's	PART
easat-3717	305	4	one	one	NUM
easat-3717	305	5	-	-	PUNCT
easat-3717	305	6	norm	norm	NOUN
easat-3717	305	7	values	value	NOUN
easat-3717	305	8	provide	provide	VERB
easat-3717	305	9	insight	insight	NOUN
easat-3717	305	10	into	into	ADP
easat-3717	305	11	the	the	DET
easat-3717	305	12	performance	performance	NOUN
easat-3717	305	13	of	of	ADP
easat-3717	305	14	several	several	ADJ
easat-3717	305	15	algorithms	algorithm	NOUN
easat-3717	305	16	at	at	ADP
easat-3717	305	17	various	various	ADJ
easat-3717	305	18	percentages	percentage	NOUN
easat-3717	305	19	(	(	PUNCT
easat-3717	305	20	35	35	NUM
easat-3717	305	21	%	%	NOUN
easat-3717	305	22	,	,	PUNCT
easat-3717	305	23	55	55	NUM
easat-3717	305	24	%	%	NOUN
easat-3717	305	25	,	,	PUNCT
easat-3717	305	26	65	65	NUM
easat-3717	305	27	%	%	NOUN
easat-3717	305	28	,	,	PUNCT
easat-3717	305	29	75	75	NUM
easat-3717	305	30	%	%	NOUN
easat-3717	305	31	,	,	PUNCT
easat-3717	305	32	and	and	CCONJ
easat-3717	305	33	85	85	NUM
easat-3717	305	34	%	%	NOUN
easat-3717	305	35	)	)	PUNCT
easat-3717	305	36	.	.	PUNCT
easat-3717	306	1	the	the	DET
easat-3717	306	2	one	one	NUM
easat-3717	306	3	-	-	PUNCT
easat-3717	306	4	norm	norm	NOUN
easat-3717	306	5	,	,	PUNCT
easat-3717	306	6	which	which	PRON
easat-3717	306	7	represents	represent	VERB
easat-3717	306	8	the	the	DET
easat-3717	306	9	sum	sum	NOUN
easat-3717	306	10	of	of	ADP
easat-3717	306	11	absolute	absolute	ADJ
easat-3717	306	12	values	value	NOUN
easat-3717	306	13	,	,	PUNCT
easat-3717	306	14	is	be	AUX
easat-3717	306	15	used	use	VERB
easat-3717	306	16	to	to	PART
easat-3717	306	17	calculate	calculate	VERB
easat-3717	306	18	the	the	DET
easat-3717	306	19	overall	overall	ADJ
easat-3717	306	20	magnitude	magnitude	NOUN
easat-3717	306	21	of	of	ADP
easat-3717	306	22	mistakes	mistake	NOUN
easat-3717	306	23	.	.	PUNCT
easat-3717	307	1	notably	notably	ADV
easat-3717	307	2	,	,	PUNCT
easat-3717	307	3	the	the	DET
easat-3717	307	4	walrus	walrus	PROPN
easat-3717	307	5	optimisation	optimisation	NOUN
easat-3717	307	6	algorithm	algorithm	NOUN
easat-3717	307	7	(	(	PUNCT
easat-3717	307	8	woa	woa	INTJ
easat-3717	307	9	)	)	PUNCT
easat-3717	307	10	outperforms	outperform	VERB
easat-3717	307	11	all	all	DET
easat-3717	307	12	other	other	ADJ
easat-3717	307	13	algorithms	algorithm	NOUN
easat-3717	307	14	in	in	ADP
easat-3717	307	15	terms	term	NOUN
easat-3717	307	16	of	of	ADP
easat-3717	307	17	svr	svr	PROPN
easat-3717	307	18	%	%	INTJ
easat-3717	307	19	,	,	PUNCT
easat-3717	307	20	with	with	ADP
easat-3717	307	21	continually	continually	ADV
easat-3717	307	22	lower	low	ADJ
easat-3717	307	23	onenorm	onenorm	NOUN
easat-3717	307	24	values	value	NOUN
easat-3717	307	25	.	.	PUNCT
easat-3717	308	1	woa	woa	PROPN
easat-3717	308	2	obtains	obtain	VERB
easat-3717	308	3	a	a	DET
easat-3717	308	4	significantly	significantly	ADV
easat-3717	308	5	low	low	ADJ
easat-3717	308	6	one	one	NUM
easat-3717	308	7	-	-	PUNCT
easat-3717	308	8	norm	norm	NOUN
easat-3717	308	9	of	of	ADP
easat-3717	308	10	199.8951208	199.8951208	NUM
easat-3717	308	11	at	at	ADP
easat-3717	308	12	85	85	NUM
easat-3717	308	13	%	%	NOUN
easat-3717	308	14	svr	svr	NOUN
easat-3717	308	15	,	,	PUNCT
easat-3717	308	16	suggesting	suggest	VERB
easat-3717	308	17	its	its	PRON
easat-3717	308	18	efficacy	efficacy	NOUN
easat-3717	308	19	in	in	ADP
easat-3717	308	20	minimizing	minimize	VERB
easat-3717	308	21	the	the	DET
easat-3717	308	22	total	total	ADJ
easat-3717	308	23	amount	amount	NOUN
easat-3717	308	24	of	of	ADP
easat-3717	308	25	prediction	prediction	NOUN
easat-3717	308	26	errors	error	NOUN
easat-3717	308	27	.	.	PUNCT
easat-3717	309	1	a	a	DET
easat-3717	309	2	comparison	comparison	NOUN
easat-3717	309	3	with	with	ADP
easat-3717	309	4	different	different	ADJ
easat-3717	309	5	algorithms	algorithm	NOUN
easat-3717	309	6	indicates	indicate	VERB
easat-3717	309	7	woa	woa	PROPN
easat-3717	309	8	's	's	PART
easat-3717	309	9	resilience	resilience	NOUN
easat-3717	309	10	and	and	CCONJ
easat-3717	309	11	effectiveness	effectiveness	NOUN
easat-3717	309	12	in	in	ADP
easat-3717	309	13	capturing	capture	VERB
easat-3717	309	14	the	the	DET
easat-3717	309	15	variability	variability	NOUN
easat-3717	309	16	of	of	ADP
easat-3717	309	17	the	the	DET
easat-3717	309	18	dataset	dataset	NOUN
easat-3717	309	19	.	.	PUNCT
easat-3717	310	1	this	this	PRON
easat-3717	310	2	shows	show	VERB
easat-3717	310	3	that	that	SCONJ
easat-3717	310	4	woa	woa	NOUN
easat-3717	310	5	optimizes	optimize	VERB
easat-3717	310	6	outcomes	outcome	NOUN
easat-3717	310	7	and	and	CCONJ
easat-3717	310	8	reduces	reduce	VERB
easat-3717	310	9	error	error	NOUN
easat-3717	310	10	size	size	NOUN
easat-3717	310	11	,	,	PUNCT
easat-3717	310	12	making	make	VERB
easat-3717	310	13	it	it	PRON
easat-3717	310	14	suited	suit	VERB
easat-3717	310	15	for	for	ADP
easat-3717	310	16	precision	precision	NOUN
easat-3717	310	17	optimization	optimization	NOUN
easat-3717	310	18	tasks	task	NOUN
easat-3717	310	19	.	.	PUNCT
easat-3717	311	1	figure	figure	NOUN
easat-3717	311	2	8	8	NUM
easat-3717	311	3	.	.	PUNCT
easat-3717	311	4	rmse	rmse	PROPN
easat-3717	311	5	.	.	PUNCT
easat-3717	312	1	the	the	DET
easat-3717	312	2	graph	graph	NOUN
easat-3717	312	3	's	's	PART
easat-3717	312	4	root	root	NOUN
easat-3717	312	5	mean	mean	NOUN
easat-3717	312	6	square	square	ADJ
easat-3717	312	7	error	error	NOUN
easat-3717	312	8	(	(	PUNCT
easat-3717	312	9	rmse	rmse	ADJ
easat-3717	312	10	)	)	PUNCT
easat-3717	312	11	values	value	NOUN
easat-3717	312	12	give	give	VERB
easat-3717	312	13	a	a	DET
easat-3717	312	14	complete	complete	ADJ
easat-3717	312	15	evaluation	evaluation	NOUN
easat-3717	312	16	of	of	ADP
easat-3717	312	17	the	the	DET
easat-3717	312	18	performance	performance	NOUN
easat-3717	312	19	of	of	ADP
easat-3717	312	20	several	several	ADJ
easat-3717	312	21	algorithms	algorithm	NOUN
easat-3717	312	22	at	at	ADP
easat-3717	312	23	various	various	ADJ
easat-3717	312	24	percentages	percentage	NOUN
easat-3717	312	25	(	(	PUNCT
easat-3717	312	26	35	35	NUM
easat-3717	312	27	%	%	NOUN
easat-3717	312	28	,	,	PUNCT
easat-3717	312	29	55	55	NUM
easat-3717	312	30	%	%	NOUN
easat-3717	312	31	,	,	PUNCT
easat-3717	312	32	65	65	NUM
easat-3717	312	33	%	%	NOUN
easat-3717	312	34	,	,	PUNCT
easat-3717	312	35	75	75	NUM
easat-3717	312	36	%	%	NOUN
easat-3717	312	37	,	,	PUNCT
easat-3717	312	38	and	and	CCONJ
easat-3717	312	39	85	85	NUM
easat-3717	312	40	%	%	NOUN
easat-3717	312	41	)	)	PUNCT
easat-3717	312	42	.	.	PUNCT
easat-3717	313	1	rmse	rmse	PROPN
easat-3717	313	2	is	be	AUX
easat-3717	313	3	an	an	DET
easat-3717	313	4	important	important	ADJ
easat-3717	313	5	7897	7897	NUM
easat-3717	313	6	edelweiss	edelweiss	PROPN
easat-3717	313	7	applied	apply	VERB
easat-3717	313	8	science	science	NOUN
easat-3717	313	9	and	and	CCONJ
easat-3717	313	10	technology	technology	NOUN
easat-3717	313	11	issn	issn	PROPN
easat-3717	313	12	:	:	PUNCT
easat-3717	313	13	2576	2576	NUM
easat-3717	313	14	-	-	SYM
easat-3717	313	15	8484	8484	NUM
easat-3717	313	16	vol	vol	NOUN
easat-3717	313	17	.	.	PROPN
easat-3717	313	18	8	8	NUM
easat-3717	313	19	,	,	PUNCT
easat-3717	313	20	no	no	INTJ
easat-3717	313	21	.	.	NOUN
easat-3717	314	1	6	6	NUM
easat-3717	314	2	:	:	PUNCT
easat-3717	314	3	7878	7878	NUM
easat-3717	314	4	-	-	SYM
easat-3717	314	5	7901	7901	NUM
easat-3717	314	6	,	,	PUNCT
easat-3717	314	7	2024	2024	NUM
easat-3717	314	8	doi	doi	NOUN
easat-3717	314	9	:	:	PUNCT
easat-3717	314	10	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	314	11	©	©	PROPN
easat-3717	314	12	2024	2024	NUM
easat-3717	314	13	by	by	ADP
easat-3717	314	14	the	the	DET
easat-3717	314	15	authors	author	NOUN
easat-3717	314	16	;	;	PUNCT
easat-3717	314	17	licensee	licensee	PROPN
easat-3717	314	18	learning	learn	VERB
easat-3717	314	19	gate	gate	NOUN
easat-3717	314	20	statistic	statistic	NOUN
easat-3717	314	21	for	for	ADP
easat-3717	314	22	assessing	assess	VERB
easat-3717	314	23	prediction	prediction	NOUN
easat-3717	314	24	accuracy	accuracy	NOUN
easat-3717	314	25	since	since	SCONJ
easat-3717	314	26	it	it	PRON
easat-3717	314	27	quantifies	quantify	VERB
easat-3717	314	28	the	the	DET
easat-3717	314	29	square	square	ADJ
easat-3717	314	30	root	root	NOUN
easat-3717	314	31	of	of	ADP
easat-3717	314	32	the	the	DET
easat-3717	314	33	average	average	ADJ
easat-3717	314	34	squared	square	VERB
easat-3717	314	35	discrepancies	discrepancy	NOUN
easat-3717	314	36	between	between	ADP
easat-3717	314	37	expected	expected	ADJ
easat-3717	314	38	and	and	CCONJ
easat-3717	314	39	actual	actual	ADJ
easat-3717	314	40	values	value	NOUN
easat-3717	314	41	.	.	PUNCT
easat-3717	315	1	the	the	DET
easat-3717	315	2	walrus	walrus	PROPN
easat-3717	315	3	optimisation	optimisation	NOUN
easat-3717	315	4	algorithm	algorithm	NOUN
easat-3717	315	5	(	(	PUNCT
easat-3717	315	6	woa	woa	PROPN
easat-3717	315	7	)	)	PUNCT
easat-3717	315	8	stands	stand	VERB
easat-3717	315	9	out	out	ADP
easat-3717	315	10	in	in	ADP
easat-3717	315	11	this	this	DET
easat-3717	315	12	setting	setting	NOUN
easat-3717	315	13	for	for	ADP
easat-3717	315	14	its	its	PRON
easat-3717	315	15	competitive	competitive	ADJ
easat-3717	315	16	performance	performance	NOUN
easat-3717	315	17	,	,	PUNCT
easat-3717	315	18	consistently	consistently	ADV
easat-3717	315	19	obtaining	obtain	VERB
easat-3717	315	20	reasonably	reasonably	ADV
easat-3717	315	21	low	low	ADJ
easat-3717	315	22	rmse	rmse	NOUN
easat-3717	315	23	values	value	NOUN
easat-3717	315	24	across	across	ADP
easat-3717	315	25	all	all	DET
easat-3717	315	26	svr	svr	PROPN
easat-3717	315	27	percentages	percentage	NOUN
easat-3717	315	28	.	.	PUNCT
easat-3717	316	1	woa	woa	PROPN
easat-3717	316	2	's	's	PART
easat-3717	316	3	performance	performance	NOUN
easat-3717	316	4	at	at	ADP
easat-3717	316	5	85	85	NUM
easat-3717	316	6	%	%	NOUN
easat-3717	316	7	svr	svr	NOUN
easat-3717	316	8	is	be	AUX
easat-3717	316	9	particularly	particularly	ADV
easat-3717	316	10	remarkable	remarkable	ADJ
easat-3717	316	11	,	,	PUNCT
easat-3717	316	12	with	with	ADP
easat-3717	316	13	a	a	DET
easat-3717	316	14	commendably	commendably	ADV
easat-3717	316	15	low	low	ADJ
easat-3717	316	16	rmse	rmse	NOUN
easat-3717	316	17	of	of	ADP
easat-3717	316	18	5.194432863	5.194432863	NUM
easat-3717	316	19	,	,	PUNCT
easat-3717	316	20	indicating	indicate	VERB
easat-3717	316	21	its	its	PRON
easat-3717	316	22	usefulness	usefulness	NOUN
easat-3717	316	23	in	in	ADP
easat-3717	316	24	minimizing	minimize	VERB
easat-3717	316	25	the	the	DET
easat-3717	316	26	total	total	ADJ
easat-3717	316	27	amount	amount	NOUN
easat-3717	316	28	of	of	ADP
easat-3717	316	29	prediction	prediction	NOUN
easat-3717	316	30	errors	error	NOUN
easat-3717	316	31	.	.	PUNCT
easat-3717	317	1	a	a	DET
easat-3717	317	2	comparison	comparison	NOUN
easat-3717	317	3	with	with	ADP
easat-3717	317	4	different	different	ADJ
easat-3717	317	5	algorithms	algorithm	NOUN
easat-3717	317	6	indicates	indicate	VERB
easat-3717	317	7	woa	woa	PROPN
easat-3717	317	8	's	's	PART
easat-3717	317	9	resilience	resilience	NOUN
easat-3717	317	10	and	and	CCONJ
easat-3717	317	11	effectiveness	effectiveness	NOUN
easat-3717	317	12	in	in	ADP
easat-3717	317	13	capturing	capture	VERB
easat-3717	317	14	the	the	DET
easat-3717	317	15	variability	variability	NOUN
easat-3717	317	16	of	of	ADP
easat-3717	317	17	the	the	DET
easat-3717	317	18	dataset	dataset	NOUN
easat-3717	317	19	.	.	PUNCT
easat-3717	318	1	the	the	DET
easat-3717	318	2	observed	observe	VERB
easat-3717	318	3	patterns	pattern	NOUN
easat-3717	318	4	in	in	ADP
easat-3717	318	5	the	the	DET
easat-3717	318	6	rmse	rmse	NOUN
easat-3717	318	7	graph	graph	NOUN
easat-3717	318	8	highlight	highlight	VERB
easat-3717	318	9	woa	woa	PRON
easat-3717	318	10	's	's	PART
easat-3717	318	11	potential	potential	ADJ
easat-3717	318	12	appropriateness	appropriateness	NOUN
easat-3717	318	13	for	for	ADP
easat-3717	318	14	situations	situation	NOUN
easat-3717	318	15	requiring	require	VERB
easat-3717	318	16	accurate	accurate	ADJ
easat-3717	318	17	forecasts	forecast	NOUN
easat-3717	318	18	with	with	ADP
easat-3717	318	19	few	few	ADJ
easat-3717	318	20	mistakes	mistake	NOUN
easat-3717	318	21	.	.	PUNCT
easat-3717	319	1	and	and	CCONJ
easat-3717	319	2	also	also	ADV
easat-3717	319	3	woa	woa	VERB
easat-3717	319	4	reduces	reduce	VERB
easat-3717	319	5	prediction	prediction	NOUN
easat-3717	319	6	mistakes	mistake	NOUN
easat-3717	319	7	by	by	ADP
easat-3717	319	8	decreasing	decrease	VERB
easat-3717	319	9	the	the	DET
easat-3717	319	10	square	square	ADJ
easat-3717	319	11	root	root	NOUN
easat-3717	319	12	of	of	ADP
easat-3717	319	13	the	the	DET
easat-3717	319	14	average	average	ADJ
easat-3717	319	15	squared	square	VERB
easat-3717	319	16	differences	difference	NOUN
easat-3717	319	17	between	between	ADP
easat-3717	319	18	predicted	predict	VERB
easat-3717	319	19	and	and	CCONJ
easat-3717	319	20	actual	actual	ADJ
easat-3717	319	21	values	value	NOUN
easat-3717	319	22	.	.	PUNCT
easat-3717	320	1	figure	figure	NOUN
easat-3717	320	2	9	9	NUM
easat-3717	320	3	.	.	PUNCT
easat-3717	320	4	smape	smape	NOUN
easat-3717	320	5	.	.	PUNCT
easat-3717	321	1	the	the	DET
easat-3717	321	2	graph	graph	NOUN
easat-3717	321	3	shows	show	VERB
easat-3717	321	4	the	the	DET
easat-3717	321	5	symmetric	symmetric	ADJ
easat-3717	321	6	mean	mean	ADJ
easat-3717	321	7	absolute	absolute	ADJ
easat-3717	321	8	percentage	percentage	NOUN
easat-3717	321	9	error	error	NOUN
easat-3717	321	10	(	(	PUNCT
easat-3717	321	11	smape	smape	NOUN
easat-3717	321	12	)	)	PUNCT
easat-3717	321	13	numbers	number	NOUN
easat-3717	321	14	,	,	PUNCT
easat-3717	321	15	which	which	PRON
easat-3717	321	16	show	show	VERB
easat-3717	321	17	how	how	SCONJ
easat-3717	321	18	accurate	accurate	ADJ
easat-3717	321	19	different	different	ADJ
easat-3717	321	20	methods	method	NOUN
easat-3717	321	21	are	be	AUX
easat-3717	321	22	at	at	ADP
easat-3717	321	23	various	various	ADJ
easat-3717	321	24	percentages	percentage	NOUN
easat-3717	321	25	:	:	PUNCT
easat-3717	321	26	35	35	NUM
easat-3717	321	27	%	%	NOUN
easat-3717	321	28	,	,	PUNCT
easat-3717	321	29	55	55	NUM
easat-3717	321	30	%	%	NOUN
easat-3717	321	31	,	,	PUNCT
easat-3717	321	32	65	65	NUM
easat-3717	321	33	%	%	NOUN
easat-3717	321	34	,	,	PUNCT
easat-3717	321	35	75	75	NUM
easat-3717	321	36	%	%	NOUN
easat-3717	321	37	,	,	PUNCT
easat-3717	321	38	and	and	CCONJ
easat-3717	321	39	85	85	NUM
easat-3717	321	40	%	%	NOUN
easat-3717	321	41	.	.	PUNCT
easat-3717	322	1	a	a	DET
easat-3717	322	2	lot	lot	NOUN
easat-3717	322	3	of	of	ADP
easat-3717	322	4	people	people	NOUN
easat-3717	322	5	use	use	VERB
easat-3717	322	6	smape	smape	NOUN
easat-3717	322	7	to	to	PART
easat-3717	322	8	figure	figure	VERB
easat-3717	322	9	out	out	ADP
easat-3717	322	10	how	how	SCONJ
easat-3717	322	11	accurate	accurate	ADJ
easat-3717	322	12	predictions	prediction	NOUN
easat-3717	322	13	are	be	AUX
easat-3717	322	14	as	as	ADP
easat-3717	322	15	a	a	DET
easat-3717	322	16	percentage	percentage	NOUN
easat-3717	322	17	.	.	PUNCT
easat-3717	323	1	in	in	ADP
easat-3717	323	2	this	this	DET
easat-3717	323	3	situation	situation	NOUN
easat-3717	323	4	,	,	PUNCT
easat-3717	323	5	the	the	DET
easat-3717	323	6	walrus	walrus	PROPN
easat-3717	323	7	optimisation	optimisation	NOUN
easat-3717	323	8	algorithm	algorithm	NOUN
easat-3717	323	9	(	(	PUNCT
easat-3717	323	10	woa	woa	X
easat-3717	323	11	)	)	PUNCT
easat-3717	323	12	consistently	consistently	ADV
easat-3717	323	13	does	do	VERB
easat-3717	323	14	a	a	DET
easat-3717	323	15	great	great	ADJ
easat-3717	323	16	job	job	NOUN
easat-3717	323	17	,	,	PUNCT
easat-3717	323	18	as	as	SCONJ
easat-3717	323	19	shown	show	VERB
easat-3717	323	20	by	by	ADP
easat-3717	323	21	its	its	PRON
easat-3717	323	22	consistently	consistently	ADV
easat-3717	323	23	low	low	ADJ
easat-3717	323	24	smape	smape	NOUN
easat-3717	323	25	numbers	number	NOUN
easat-3717	323	26	at	at	ADV
easat-3717	323	27	all	all	PRON
easat-3717	323	28	svr	svr	PROPN
easat-3717	323	29	percentages	percentage	NOUN
easat-3717	323	30	.	.	PUNCT
easat-3717	324	1	at	at	ADP
easat-3717	324	2	85	85	NUM
easat-3717	324	3	%	%	NOUN
easat-3717	324	4	svr	svr	NOUN
easat-3717	324	5	,	,	PUNCT
easat-3717	324	6	woa	woa	VERB
easat-3717	324	7	gets	get	VERB
easat-3717	324	8	an	an	DET
easat-3717	324	9	excellent	excellent	ADJ
easat-3717	324	10	smape	smape	NOUN
easat-3717	324	11	of	of	ADP
easat-3717	324	12	0.014932407	0.014932407	NUM
easat-3717	324	13	,	,	PUNCT
easat-3717	324	14	which	which	PRON
easat-3717	324	15	shows	show	VERB
easat-3717	324	16	that	that	SCONJ
easat-3717	324	17	it	it	PRON
easat-3717	324	18	is	be	AUX
easat-3717	324	19	good	good	ADJ
easat-3717	324	20	at	at	ADP
easat-3717	324	21	making	make	VERB
easat-3717	324	22	correct	correct	ADJ
easat-3717	324	23	guesses	guess	NOUN
easat-3717	324	24	with	with	ADP
easat-3717	324	25	low	low	ADJ
easat-3717	324	26	percentage	percentage	NOUN
easat-3717	324	27	mistakes	mistake	NOUN
easat-3717	324	28	.	.	PUNCT
easat-3717	325	1	when	when	SCONJ
easat-3717	325	2	compared	compare	VERB
easat-3717	325	3	to	to	ADP
easat-3717	325	4	other	other	ADJ
easat-3717	325	5	algorithms	algorithm	NOUN
easat-3717	325	6	,	,	PUNCT
easat-3717	325	7	woa	woa	INTJ
easat-3717	325	8	is	be	AUX
easat-3717	325	9	shown	show	VERB
easat-3717	325	10	to	to	PART
easat-3717	325	11	be	be	AUX
easat-3717	325	12	reliable	reliable	ADJ
easat-3717	325	13	and	and	CCONJ
easat-3717	325	14	good	good	ADJ
easat-3717	325	15	at	at	ADP
easat-3717	325	16	catching	catch	VERB
easat-3717	325	17	the	the	DET
easat-3717	325	18	variability	variability	NOUN
easat-3717	325	19	of	of	ADP
easat-3717	325	20	the	the	DET
easat-3717	325	21	information	information	NOUN
easat-3717	325	22	.	.	PUNCT
easat-3717	326	1	this	this	PRON
easat-3717	326	2	makes	make	VERB
easat-3717	326	3	it	it	PRON
easat-3717	326	4	a	a	DET
easat-3717	326	5	good	good	ADJ
easat-3717	326	6	choice	choice	NOUN
easat-3717	326	7	for	for	ADP
easat-3717	326	8	situations	situation	NOUN
easat-3717	326	9	where	where	SCONJ
easat-3717	326	10	accurate	accurate	ADJ
easat-3717	326	11	predicting	predicting	NOUN
easat-3717	326	12	is	be	AUX
easat-3717	326	13	needed	need	VERB
easat-3717	326	14	.	.	PUNCT
easat-3717	327	1	this	this	PRON
easat-3717	327	2	shows	show	VERB
easat-3717	327	3	woa	woa	VERB
easat-3717	327	4	's	's	PART
easat-3717	327	5	accuracy	accuracy	NOUN
easat-3717	327	6	in	in	ADP
easat-3717	327	7	predicting	predict	VERB
easat-3717	327	8	tasks	task	NOUN
easat-3717	327	9	,	,	PUNCT
easat-3717	327	10	making	make	VERB
easat-3717	327	11	it	it	PRON
easat-3717	327	12	ideal	ideal	ADJ
easat-3717	327	13	for	for	ADP
easat-3717	327	14	accurate	accurate	ADJ
easat-3717	327	15	forecasts	forecast	NOUN
easat-3717	327	16	.	.	PUNCT
easat-3717	328	1	7898	7898	NUM
easat-3717	328	2	edelweiss	edelweiss	PROPN
easat-3717	328	3	applied	apply	VERB
easat-3717	328	4	science	science	NOUN
easat-3717	328	5	and	and	CCONJ
easat-3717	328	6	technology	technology	NOUN
easat-3717	328	7	issn	issn	PROPN
easat-3717	328	8	:	:	PUNCT
easat-3717	328	9	2576	2576	NUM
easat-3717	328	10	-	-	SYM
easat-3717	328	11	8484	8484	NUM
easat-3717	328	12	vol	vol	NOUN
easat-3717	328	13	.	.	PROPN
easat-3717	328	14	8	8	NUM
easat-3717	328	15	,	,	PUNCT
easat-3717	328	16	no	no	INTJ
easat-3717	328	17	.	.	NOUN
easat-3717	328	18	6	6	NUM
easat-3717	328	19	:	:	PUNCT
easat-3717	328	20	7878	7878	NUM
easat-3717	328	21	-	-	SYM
easat-3717	328	22	7901	7901	NUM
easat-3717	328	23	,	,	PUNCT
easat-3717	328	24	2024	2024	NUM
easat-3717	328	25	doi	doi	NOUN
easat-3717	328	26	:	:	PUNCT
easat-3717	328	27	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	328	28	©	©	PROPN
easat-3717	328	29	2024	2024	NUM
easat-3717	328	30	by	by	ADP
easat-3717	328	31	the	the	DET
easat-3717	328	32	authors	author	NOUN
easat-3717	328	33	;	;	PUNCT
easat-3717	328	34	licensee	licensee	PROPN
easat-3717	328	35	learning	learn	VERB
easat-3717	328	36	gate	gate	PROPN
easat-3717	328	37	figure	figure	NOUN
easat-3717	328	38	10	10	NUM
easat-3717	328	39	.	.	PUNCT
easat-3717	329	1	two	two	NUM
easat-3717	329	2	norm	norm	NOUN
easat-3717	329	3	.	.	PUNCT
easat-3717	330	1	from	from	ADP
easat-3717	330	2	the	the	DET
easat-3717	330	3	above	above	ADJ
easat-3717	330	4	graph	graph	NOUN
easat-3717	330	5	it	it	PRON
easat-3717	330	6	is	be	AUX
easat-3717	330	7	observable	observable	ADJ
easat-3717	330	8	that	that	SCONJ
easat-3717	330	9	two	two	NUM
easat-3717	330	10	-	-	PUNCT
easat-3717	330	11	norm	norm	NOUN
easat-3717	330	12	values	value	NOUN
easat-3717	330	13	on	on	ADP
easat-3717	330	14	the	the	DET
easat-3717	330	15	graph	graph	NOUN
easat-3717	330	16	illustrate	illustrate	ADJ
easat-3717	330	17	algorithm	algorithm	NOUN
easat-3717	330	18	performance	performance	NOUN
easat-3717	330	19	at	at	ADP
easat-3717	330	20	35	35	NUM
easat-3717	330	21	%	%	NOUN
easat-3717	330	22	,	,	PUNCT
easat-3717	330	23	55	55	NUM
easat-3717	330	24	%	%	NOUN
easat-3717	330	25	,	,	PUNCT
easat-3717	330	26	65	65	NUM
easat-3717	330	27	%	%	NOUN
easat-3717	330	28	,	,	PUNCT
easat-3717	330	29	75	75	NUM
easat-3717	330	30	%	%	NOUN
easat-3717	330	31	,	,	PUNCT
easat-3717	330	32	as	as	ADV
easat-3717	330	33	well	well	ADV
easat-3717	330	34	as	as	ADP
easat-3717	330	35	85	85	NUM
easat-3717	330	36	%	%	NOUN
easat-3717	330	37	.	.	PUNCT
easat-3717	331	1	the	the	DET
easat-3717	331	2	two	two	NUM
easat-3717	331	3	-	-	PUNCT
easat-3717	331	4	norm	norm	NOUN
easat-3717	331	5	employs	employ	VERB
easat-3717	331	6	the	the	DET
easat-3717	331	7	euclidean	euclidean	ADJ
easat-3717	331	8	norm	norm	NOUN
easat-3717	331	9	to	to	PART
easat-3717	331	10	calculate	calculate	VERB
easat-3717	331	11	error	error	NOUN
easat-3717	331	12	magnitude	magnitude	NOUN
easat-3717	331	13	.	.	PUNCT
easat-3717	332	1	the	the	DET
easat-3717	332	2	walrus	walrus	PROPN
easat-3717	332	3	optimization	optimization	NOUN
easat-3717	332	4	algorithm	algorithm	PROPN
easat-3717	332	5	(	(	PUNCT
easat-3717	332	6	woa	woa	INTJ
easat-3717	332	7	)	)	PUNCT
easat-3717	332	8	produces	produce	VERB
easat-3717	332	9	low	low	ADJ
easat-3717	332	10	two	two	NUM
easat-3717	332	11	-	-	PUNCT
easat-3717	332	12	norm	norm	NOUN
easat-3717	332	13	values	value	NOUN
easat-3717	332	14	consistently	consistently	ADV
easat-3717	332	15	across	across	ADP
easat-3717	332	16	all	all	DET
easat-3717	332	17	svr	svr	PROPN
easat-3717	332	18	percentages	percentage	NOUN
easat-3717	332	19	,	,	PUNCT
easat-3717	332	20	exhibiting	exhibit	VERB
easat-3717	332	21	competitive	competitive	ADJ
easat-3717	332	22	performance	performance	NOUN
easat-3717	332	23	.	.	PUNCT
easat-3717	333	1	the	the	DET
easat-3717	333	2	woa	woa	PROPN
easat-3717	333	3	twonorm	twonorm	NOUN
easat-3717	333	4	of	of	ADP
easat-3717	333	5	65.98940214	65.98940214	NUM
easat-3717	333	6	at	at	ADP
easat-3717	333	7	85	85	NUM
easat-3717	333	8	%	%	NOUN
easat-3717	333	9	svr	svr	NOUN
easat-3717	333	10	demonstrates	demonstrate	VERB
easat-3717	333	11	its	its	PRON
easat-3717	333	12	capacity	capacity	NOUN
easat-3717	333	13	to	to	PART
easat-3717	333	14	decrease	decrease	VERB
easat-3717	333	15	prediction	prediction	NOUN
easat-3717	333	16	errors	error	NOUN
easat-3717	333	17	.	.	PUNCT
easat-3717	334	1	when	when	SCONJ
easat-3717	334	2	compared	compare	VERB
easat-3717	334	3	to	to	ADP
easat-3717	334	4	other	other	ADJ
easat-3717	334	5	algorithms	algorithm	NOUN
easat-3717	334	6	,	,	PUNCT
easat-3717	334	7	woa	woa	VERB
easat-3717	334	8	demonstrates	demonstrate	VERB
easat-3717	334	9	its	its	PRON
easat-3717	334	10	robustness	robustness	NOUN
easat-3717	334	11	and	and	CCONJ
easat-3717	334	12	efficacy	efficacy	NOUN
easat-3717	334	13	in	in	ADP
easat-3717	334	14	capturing	capture	VERB
easat-3717	334	15	dataset	dataset	ADJ
easat-3717	334	16	heterogeneity	heterogeneity	NOUN
easat-3717	334	17	.	.	PUNCT
easat-3717	335	1	woa	woa	PROPN
easat-3717	335	2	's	's	PART
easat-3717	335	3	two	two	NUM
easat-3717	335	4	-	-	PUNCT
easat-3717	335	5	norm	norm	NOUN
easat-3717	335	6	graph	graph	NOUN
easat-3717	335	7	trends	trend	NOUN
easat-3717	335	8	indicate	indicate	VERB
easat-3717	335	9	that	that	SCONJ
easat-3717	335	10	it	it	PRON
easat-3717	335	11	may	may	AUX
easat-3717	335	12	be	be	AUX
easat-3717	335	13	appropriate	appropriate	ADJ
easat-3717	335	14	for	for	ADP
easat-3717	335	15	instances	instance	NOUN
easat-3717	335	16	when	when	SCONJ
easat-3717	335	17	error	error	NOUN
easat-3717	335	18	reduction	reduction	NOUN
easat-3717	335	19	is	be	AUX
easat-3717	335	20	crucial	crucial	ADJ
easat-3717	335	21	.	.	PUNCT
easat-3717	336	1	5.1	5.1	NUM
easat-3717	336	2	.	.	PUNCT
easat-3717	336	3	comparision	comparision	NOUN
easat-3717	336	4	the	the	DET
easat-3717	336	5	proposed	propose	VERB
easat-3717	336	6	model	model	NOUN
easat-3717	336	7	with	with	ADP
easat-3717	336	8	existing	exist	VERB
easat-3717	336	9	models	model	NOUN
easat-3717	336	10	esemble	esemble	ADJ
easat-3717	336	11	cnn	cnn	PROPN
easat-3717	336	12	svm	svm	PROPN
easat-3717	336	13	mae	mae	PROPN
easat-3717	336	14	2.3	2.3	NUM
easat-3717	336	15	3.75	3.75	NUM
easat-3717	336	16	4.1	4.1	NUM
easat-3717	336	17	rmse	rmse	NOUN
easat-3717	336	18	5.19	5.19	NUM
easat-3717	336	19	6.8	6.8	NUM
easat-3717	336	20	7.5	7.5	NUM
easat-3717	336	21	mse	mse	NOUN
easat-3717	336	22	3.11	3.11	NUM
easat-3717	336	23	4.2	4.2	NUM
easat-3717	336	24	4.75	4.75	NUM
easat-3717	336	25	figure	figure	NOUN
easat-3717	336	26	11	11	NUM
easat-3717	336	27	.	.	PUNCT
easat-3717	337	1	7899	7899	NUM
easat-3717	337	2	edelweiss	edelweiss	PROPN
easat-3717	337	3	applied	apply	VERB
easat-3717	337	4	science	science	NOUN
easat-3717	337	5	and	and	CCONJ
easat-3717	337	6	technology	technology	NOUN
easat-3717	337	7	issn	issn	PROPN
easat-3717	337	8	:	:	PUNCT
easat-3717	337	9	2576	2576	NUM
easat-3717	337	10	-	-	SYM
easat-3717	337	11	8484	8484	NUM
easat-3717	337	12	vol	vol	NOUN
easat-3717	337	13	.	.	PROPN
easat-3717	337	14	8	8	NUM
easat-3717	337	15	,	,	PUNCT
easat-3717	337	16	no	no	INTJ
easat-3717	337	17	.	.	NOUN
easat-3717	337	18	6	6	NUM
easat-3717	337	19	:	:	PUNCT
easat-3717	337	20	7878	7878	NUM
easat-3717	337	21	-	-	SYM
easat-3717	337	22	7901	7901	NUM
easat-3717	337	23	,	,	PUNCT
easat-3717	337	24	2024	2024	NUM
easat-3717	337	25	doi	doi	NOUN
easat-3717	337	26	:	:	PUNCT
easat-3717	337	27	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	337	28	©	©	PROPN
easat-3717	337	29	2024	2024	NUM
easat-3717	337	30	by	by	ADP
easat-3717	337	31	the	the	DET
easat-3717	337	32	authors	author	NOUN
easat-3717	337	33	;	;	PUNCT
easat-3717	337	34	licensee	licensee	PROPN
easat-3717	337	35	learning	learning	NOUN
easat-3717	337	36	gate	gate	NOUN
easat-3717	337	37	we	we	PRON
easat-3717	337	38	compared	compare	VERB
easat-3717	337	39	our	our	PRON
easat-3717	337	40	ensemble	ensemble	ADJ
easat-3717	337	41	model	model	NOUN
easat-3717	337	42	enhanced	enhance	VERB
easat-3717	337	43	with	with	ADP
easat-3717	337	44	the	the	DET
easat-3717	337	45	modified	modify	VERB
easat-3717	337	46	walrus	walrus	PROPN
easat-3717	337	47	optimization	optimization	NOUN
easat-3717	337	48	algorithm	algorithm	NOUN
easat-3717	337	49	(	(	PUNCT
easat-3717	337	50	woa	woa	INTJ
easat-3717	337	51	)	)	PUNCT
easat-3717	337	52	for	for	ADP
easat-3717	337	53	quality	quality	NOUN
easat-3717	337	54	of	of	ADP
easat-3717	337	55	service	service	NOUN
easat-3717	337	56	(	(	PUNCT
easat-3717	337	57	qos	qos	PROPN
easat-3717	337	58	)	)	PUNCT
easat-3717	337	59	prediction	prediction	NOUN
easat-3717	337	60	to	to	ADP
easat-3717	337	61	conventional	conventional	ADJ
easat-3717	337	62	models	model	NOUN
easat-3717	337	63	like	like	ADP
easat-3717	337	64	convolutional	convolutional	ADJ
easat-3717	337	65	neural	neural	ADJ
easat-3717	337	66	networks	network	NOUN
easat-3717	337	67	(	(	PUNCT
easat-3717	337	68	cnn	cnn	PROPN
easat-3717	337	69	)	)	PUNCT
easat-3717	337	70	and	and	CCONJ
easat-3717	337	71	support	support	VERB
easat-3717	337	72	vector	vector	NOUN
easat-3717	337	73	machines	machine	NOUN
easat-3717	337	74	(	(	PUNCT
easat-3717	337	75	svm	svm	PROPN
easat-3717	337	76	)	)	PUNCT
easat-3717	337	77	using	use	VERB
easat-3717	337	78	mae	mae	PROPN
easat-3717	337	79	,	,	PUNCT
easat-3717	337	80	rmse	rmse	NOUN
easat-3717	337	81	,	,	PUNCT
easat-3717	337	82	and	and	CCONJ
easat-3717	337	83	mse	mse	NOUN
easat-3717	337	84	.	.	PUNCT
easat-3717	338	1	all	all	DET
easat-3717	338	2	measures	measure	NOUN
easat-3717	338	3	showed	show	VERB
easat-3717	338	4	that	that	SCONJ
easat-3717	338	5	our	our	PRON
easat-3717	338	6	model	model	NOUN
easat-3717	338	7	predicted	predict	VERB
easat-3717	338	8	service	service	NOUN
easat-3717	338	9	quality	quality	NOUN
easat-3717	338	10	well	well	ADV
easat-3717	338	11	.	.	PUNCT
easat-3717	339	1	the	the	DET
easat-3717	339	2	ensemble	ensemble	ADJ
easat-3717	339	3	model	model	NOUN
easat-3717	339	4	with	with	ADP
easat-3717	339	5	woa	woa	PROPN
easat-3717	339	6	has	have	VERB
easat-3717	339	7	a	a	DET
easat-3717	339	8	lower	low	ADJ
easat-3717	339	9	mae	mae	NOUN
easat-3717	339	10	of	of	ADP
easat-3717	339	11	2.3	2.3	NUM
easat-3717	339	12	than	than	ADP
easat-3717	339	13	cnn	cnn	PROPN
easat-3717	339	14	and	and	CCONJ
easat-3717	339	15	svm	svm	PROPN
easat-3717	339	16	,	,	PUNCT
easat-3717	339	17	suggesting	suggest	VERB
easat-3717	339	18	more	more	ADJ
easat-3717	339	19	accuracy	accuracy	NOUN
easat-3717	339	20	and	and	CCONJ
easat-3717	339	21	less	less	ADJ
easat-3717	339	22	divergence	divergence	NOUN
easat-3717	339	23	from	from	ADP
easat-3717	339	24	real	real	ADJ
easat-3717	339	25	values	value	NOUN
easat-3717	339	26	.	.	PUNCT
easat-3717	340	1	compared	compare	VERB
easat-3717	340	2	to	to	ADP
easat-3717	340	3	cnn	cnn	PROPN
easat-3717	340	4	and	and	CCONJ
easat-3717	340	5	svm	svm	PROPN
easat-3717	340	6	,	,	PUNCT
easat-3717	340	7	our	our	PRON
easat-3717	340	8	model	model	NOUN
easat-3717	340	9	's	's	PART
easat-3717	340	10	rmse	rmse	ADJ
easat-3717	340	11	value	value	NOUN
easat-3717	340	12	of	of	ADP
easat-3717	340	13	5.19	5.19	NUM
easat-3717	340	14	was	be	AUX
easat-3717	340	15	much	much	ADV
easat-3717	340	16	lower	low	ADJ
easat-3717	340	17	than	than	ADP
easat-3717	340	18	6.8	6.8	NUM
easat-3717	340	19	and	and	CCONJ
easat-3717	340	20	7.5	7.5	NUM
easat-3717	340	21	,	,	PUNCT
easat-3717	340	22	indicating	indicate	VERB
easat-3717	340	23	improved	improved	ADJ
easat-3717	340	24	prediction	prediction	NOUN
easat-3717	340	25	errors	error	NOUN
easat-3717	340	26	and	and	CCONJ
easat-3717	340	27	precision	precision	NOUN
easat-3717	340	28	.	.	PUNCT
easat-3717	341	1	our	our	PRON
easat-3717	341	2	model	model	NOUN
easat-3717	341	3	has	have	VERB
easat-3717	341	4	a	a	DET
easat-3717	341	5	lower	low	ADJ
easat-3717	341	6	mse	mse	NOUN
easat-3717	341	7	(	(	PUNCT
easat-3717	341	8	3.11	3.11	NUM
easat-3717	341	9	)	)	PUNCT
easat-3717	341	10	than	than	ADP
easat-3717	341	11	cnn	cnn	PROPN
easat-3717	341	12	(	(	PUNCT
easat-3717	341	13	4.2	4.2	NUM
easat-3717	341	14	)	)	PUNCT
easat-3717	341	15	&	&	CCONJ
easat-3717	341	16	svm	svm	PROPN
easat-3717	341	17	(	(	PUNCT
easat-3717	341	18	4.75	4.75	NUM
easat-3717	341	19	)	)	PUNCT
easat-3717	341	20	,	,	PUNCT
easat-3717	341	21	suggesting	suggest	VERB
easat-3717	341	22	better	well	ADJ
easat-3717	341	23	squared	square	VERB
easat-3717	341	24	error	error	NOUN
easat-3717	341	25	reduction	reduction	NOUN
easat-3717	341	26	.	.	PUNCT
easat-3717	342	1	our	our	PRON
easat-3717	342	2	approach	approach	NOUN
easat-3717	342	3	provides	provide	VERB
easat-3717	342	4	more	more	ADV
easat-3717	342	5	accurate	accurate	ADJ
easat-3717	342	6	and	and	CCONJ
easat-3717	342	7	dependable	dependable	ADJ
easat-3717	342	8	service	service	NOUN
easat-3717	342	9	quality	quality	NOUN
easat-3717	342	10	forecasts	forecast	NOUN
easat-3717	342	11	than	than	ADP
easat-3717	342	12	previous	previous	ADJ
easat-3717	342	13	techniques	technique	NOUN
easat-3717	342	14	,	,	PUNCT
easat-3717	342	15	which	which	PRON
easat-3717	342	16	might	might	AUX
easat-3717	342	17	improve	improve	VERB
easat-3717	342	18	network	network	NOUN
easat-3717	342	19	management	management	NOUN
easat-3717	342	20	as	as	ADV
easat-3717	342	21	well	well	ADV
easat-3717	342	22	as	as	ADP
easat-3717	342	23	user	user	NOUN
easat-3717	342	24	experience	experience	NOUN
easat-3717	342	25	in	in	ADP
easat-3717	342	26	dynamic	dynamic	ADJ
easat-3717	342	27	mobile	mobile	ADJ
easat-3717	342	28	network	network	NOUN
easat-3717	342	29	settings	setting	NOUN
easat-3717	342	30	.	.	PUNCT
easat-3717	343	1	6	6	X
easat-3717	343	2	.	.	X
easat-3717	343	3	conclusion	conclusion	VERB
easat-3717	343	4	the	the	DET
easat-3717	343	5	ensemble	ensemble	ADV
easat-3717	343	6	-	-	PUNCT
easat-3717	343	7	based	base	VERB
easat-3717	343	8	service	service	NOUN
easat-3717	343	9	quality	quality	NOUN
easat-3717	343	10	prediction	prediction	NOUN
easat-3717	343	11	(	(	PUNCT
easat-3717	343	12	eaqp	eaqp	NOUN
easat-3717	343	13	)	)	PUNCT
easat-3717	343	14	model	model	NOUN
easat-3717	343	15	,	,	PUNCT
easat-3717	343	16	which	which	PRON
easat-3717	343	17	is	be	AUX
easat-3717	343	18	reinforced	reinforce	VERB
easat-3717	343	19	with	with	ADP
easat-3717	343	20	the	the	DET
easat-3717	343	21	cutting	cutting	NOUN
easat-3717	343	22	-	-	PUNCT
easat-3717	343	23	edge	edge	NOUN
easat-3717	343	24	walrus	walrus	PROPN
easat-3717	343	25	optimization	optimization	NOUN
easat-3717	343	26	algorithm	algorithm	NOUN
easat-3717	343	27	(	(	PUNCT
easat-3717	343	28	woa	woa	PROPN
easat-3717	343	29	)	)	PUNCT
easat-3717	343	30	,	,	PUNCT
easat-3717	343	31	exhibits	exhibit	VERB
easat-3717	343	32	exceptional	exceptional	ADJ
easat-3717	343	33	performance	performance	NOUN
easat-3717	343	34	when	when	SCONJ
easat-3717	343	35	it	it	PRON
easat-3717	343	36	comes	come	VERB
easat-3717	343	37	to	to	ADP
easat-3717	343	38	predicting	predict	VERB
easat-3717	343	39	service	service	NOUN
easat-3717	343	40	quality	quality	NOUN
easat-3717	343	41	in	in	ADP
easat-3717	343	42	settings	setting	NOUN
easat-3717	343	43	composed	compose	VERB
easat-3717	343	44	of	of	ADP
easat-3717	343	45	dynamic	dynamic	ADJ
easat-3717	343	46	mobile	mobile	ADJ
easat-3717	343	47	networks	network	NOUN
easat-3717	343	48	.	.	PUNCT
easat-3717	344	1	woa	woa	PROPN
easat-3717	344	2	's	's	PART
easat-3717	344	3	flexibility	flexibility	NOUN
easat-3717	344	4	enhances	enhance	VERB
easat-3717	344	5	accuracy	accuracy	NOUN
easat-3717	344	6	across	across	ADP
easat-3717	344	7	a	a	DET
easat-3717	344	8	variety	variety	NOUN
easat-3717	344	9	of	of	ADP
easat-3717	344	10	assessment	assessment	NOUN
easat-3717	344	11	criteria	criterion	NOUN
easat-3717	344	12	,	,	PUNCT
easat-3717	344	13	which	which	PRON
easat-3717	344	14	allows	allow	VERB
easat-3717	344	15	the	the	DET
easat-3717	344	16	model	model	NOUN
easat-3717	344	17	to	to	PART
easat-3717	344	18	make	make	VERB
easat-3717	344	19	strong	strong	ADJ
easat-3717	344	20	predictions	prediction	NOUN
easat-3717	344	21	.	.	PUNCT
easat-3717	345	1	this	this	PRON
easat-3717	345	2	is	be	AUX
easat-3717	345	3	accomplished	accomplish	VERB
easat-3717	345	4	by	by	ADP
easat-3717	345	5	the	the	DET
easat-3717	345	6	rigorous	rigorous	ADJ
easat-3717	345	7	pretreatment	pretreatment	NOUN
easat-3717	345	8	of	of	ADP
easat-3717	345	9	data	datum	NOUN
easat-3717	345	10	and	and	CCONJ
easat-3717	345	11	the	the	DET
easat-3717	345	12	integration	integration	NOUN
easat-3717	345	13	of	of	ADP
easat-3717	345	14	a	a	DET
easat-3717	345	15	wide	wide	ADJ
easat-3717	345	16	variety	variety	NOUN
easat-3717	345	17	of	of	ADP
easat-3717	345	18	machine	machine	NOUN
easat-3717	345	19	learning	learn	VERB
easat-3717	345	20	techniques	technique	NOUN
easat-3717	345	21	.	.	PUNCT
easat-3717	346	1	a	a	DET
easat-3717	346	2	number	number	NOUN
easat-3717	346	3	of	of	ADP
easat-3717	346	4	metrics	metric	NOUN
easat-3717	346	5	,	,	PUNCT
easat-3717	346	6	including	include	VERB
easat-3717	346	7	an	an	DET
easat-3717	346	8	mae	mae	PROPN
easat-3717	346	9	of	of	ADP
easat-3717	346	10	2.301794167	2.301794167	NUM
easat-3717	346	11	,	,	PUNCT
easat-3717	346	12	mase	mase	PROPN
easat-3717	346	13	of	of	ADP
easat-3717	346	14	3.111924686	3.111924686	NUM
easat-3717	346	15	,	,	PUNCT
easat-3717	346	16	mep	mep	PROPN
easat-3717	346	17	of	of	ADP
easat-3717	346	18	1.476953076	1.476953076	NUM
easat-3717	346	19	,	,	PUNCT
easat-3717	346	20	one	one	NUM
easat-3717	346	21	-	-	PUNCT
easat-3717	346	22	norm	norm	NOUN
easat-3717	346	23	of	of	ADP
easat-3717	346	24	199.8951208	199.8951208	NUM
easat-3717	346	25	,	,	PUNCT
easat-3717	346	26	rmse	rmse	NOUN
easat-3717	346	27	of	of	ADP
easat-3717	346	28	5.194432863	5.194432863	NUM
easat-3717	346	29	,	,	PUNCT
easat-3717	346	30	smape	smape	NOUN
easat-3717	346	31	of	of	ADP
easat-3717	346	32	0.014932407	0.014932407	NUM
easat-3717	346	33	,	,	PUNCT
easat-3717	346	34	and	and	CCONJ
easat-3717	346	35	two	two	NUM
easat-3717	346	36	-	-	PUNCT
easat-3717	346	37	norm	norm	NOUN
easat-3717	346	38	of	of	ADP
easat-3717	346	39	65.98940214	65.98940214	NUM
easat-3717	346	40	,	,	PUNCT
easat-3717	346	41	are	be	AUX
easat-3717	346	42	among	among	ADP
easat-3717	346	43	the	the	DET
easat-3717	346	44	metrics	metric	NOUN
easat-3717	346	45	that	that	PRON
easat-3717	346	46	woa	woa	AUX
easat-3717	346	47	obtains	obtain	VERB
easat-3717	346	48	low	low	ADJ
easat-3717	346	49	values	value	NOUN
easat-3717	346	50	for	for	ADP
easat-3717	346	51	when	when	SCONJ
easat-3717	346	52	it	it	PRON
easat-3717	346	53	has	have	AUX
easat-3717	346	54	an	an	DET
easat-3717	346	55	svr	svr	NOUN
easat-3717	346	56	of	of	ADP
easat-3717	346	57	85	85	NUM
easat-3717	346	58	%	%	NOUN
easat-3717	346	59	.	.	PUNCT
easat-3717	347	1	these	these	DET
easat-3717	347	2	discoveries	discovery	NOUN
easat-3717	347	3	not	not	PART
easat-3717	347	4	only	only	ADV
easat-3717	347	5	contribute	contribute	VERB
easat-3717	347	6	to	to	ADP
easat-3717	347	7	the	the	DET
easat-3717	347	8	advancement	advancement	NOUN
easat-3717	347	9	of	of	ADP
easat-3717	347	10	research	research	NOUN
easat-3717	347	11	approaches	approach	NOUN
easat-3717	347	12	in	in	ADP
easat-3717	347	13	the	the	DET
easat-3717	347	14	field	field	NOUN
easat-3717	347	15	of	of	ADP
easat-3717	347	16	machine	machine	NOUN
easat-3717	347	17	learning	learning	NOUN
easat-3717	347	18	,	,	PUNCT
easat-3717	347	19	but	but	CCONJ
easat-3717	347	20	they	they	PRON
easat-3717	347	21	also	also	ADV
easat-3717	347	22	have	have	VERB
easat-3717	347	23	major	major	ADJ
easat-3717	347	24	practical	practical	ADJ
easat-3717	347	25	consequences	consequence	NOUN
easat-3717	347	26	for	for	ADP
easat-3717	347	27	enterprises	enterprise	NOUN
easat-3717	347	28	that	that	PRON
easat-3717	347	29	are	be	AUX
easat-3717	347	30	dependent	dependent	ADJ
easat-3717	347	31	on	on	ADP
easat-3717	347	32	mobile	mobile	ADJ
easat-3717	347	33	network	network	NOUN
easat-3717	347	34	services	service	NOUN
easat-3717	347	35	.	.	PUNCT
easat-3717	348	1	increasing	increase	VERB
easat-3717	348	2	customer	customer	NOUN
easat-3717	348	3	happiness	happiness	NOUN
easat-3717	348	4	and	and	CCONJ
easat-3717	348	5	improving	improve	VERB
easat-3717	348	6	service	service	NOUN
easat-3717	348	7	delivery	delivery	NOUN
easat-3717	348	8	tactics	tactic	NOUN
easat-3717	348	9	are	be	AUX
easat-3717	348	10	both	both	PRON
easat-3717	348	11	possible	possible	ADJ
easat-3717	348	12	outcomes	outcome	NOUN
easat-3717	348	13	of	of	ADP
easat-3717	348	14	enterprises	enterprise	NOUN
easat-3717	348	15	'	'	PART
easat-3717	348	16	ability	ability	NOUN
easat-3717	348	17	to	to	PART
easat-3717	348	18	properly	properly	ADV
easat-3717	348	19	forecast	forecast	VERB
easat-3717	348	20	service	service	NOUN
easat-3717	348	21	quality	quality	NOUN
easat-3717	348	22	and	and	CCONJ
easat-3717	348	23	proactively	proactively	ADV
easat-3717	348	24	handle	handle	VERB
easat-3717	348	25	network	network	NOUN
easat-3717	348	26	problems	problem	NOUN
easat-3717	348	27	.	.	PUNCT
easat-3717	349	1	due	due	ADP
easat-3717	349	2	to	to	ADP
easat-3717	349	3	the	the	DET
easat-3717	349	4	fact	fact	NOUN
easat-3717	349	5	that	that	SCONJ
easat-3717	349	6	the	the	DET
easat-3717	349	7	model	model	NOUN
easat-3717	349	8	can	can	AUX
easat-3717	349	9	be	be	AUX
easat-3717	349	10	used	use	VERB
easat-3717	349	11	in	in	ADP
easat-3717	349	12	a	a	DET
easat-3717	349	13	variety	variety	NOUN
easat-3717	349	14	of	of	ADP
easat-3717	349	15	network	network	NOUN
easat-3717	349	16	scenarios	scenario	NOUN
easat-3717	349	17	,	,	PUNCT
easat-3717	349	18	it	it	PRON
easat-3717	349	19	has	have	VERB
easat-3717	349	20	the	the	DET
easat-3717	349	21	potential	potential	NOUN
easat-3717	349	22	to	to	PART
easat-3717	349	23	be	be	AUX
easat-3717	349	24	a	a	DET
easat-3717	349	25	very	very	ADV
easat-3717	349	26	useful	useful	ADJ
easat-3717	349	27	instrument	instrument	NOUN
easat-3717	349	28	for	for	ADP
easat-3717	349	29	industry	industry	NOUN
easat-3717	349	30	practitioners	practitioner	NOUN
easat-3717	349	31	who	who	PRON
easat-3717	349	32	are	be	AUX
easat-3717	349	33	looking	look	VERB
easat-3717	349	34	to	to	PART
easat-3717	349	35	enhance	enhance	VERB
easat-3717	349	36	both	both	DET
easat-3717	349	37	the	the	DET
easat-3717	349	38	quality	quality	NOUN
easat-3717	349	39	of	of	ADP
easat-3717	349	40	service	service	NOUN
easat-3717	349	41	and	and	CCONJ
easat-3717	349	42	the	the	DET
easat-3717	349	43	user	user	NOUN
easat-3717	349	44	experience	experience	NOUN
easat-3717	349	45	.	.	PUNCT
easat-3717	350	1	at	at	ADP
easat-3717	350	2	last	last	ADJ
easat-3717	350	3	the	the	DET
easat-3717	350	4	comparision	comparision	NOUN
easat-3717	350	5	of	of	ADP
easat-3717	350	6	proposed	propose	VERB
easat-3717	350	7	model	model	NOUN
easat-3717	350	8	with	with	ADP
easat-3717	350	9	existing	exist	VERB
easat-3717	350	10	models	model	NOUN
easat-3717	350	11	also	also	ADV
easat-3717	350	12	dive	dive	VERB
easat-3717	350	13	into	into	ADP
easat-3717	350	14	the	the	DET
easat-3717	350	15	novelty	novelty	NOUN
easat-3717	350	16	of	of	ADP
easat-3717	350	17	our	our	PRON
easat-3717	350	18	proposed	propose	VERB
easat-3717	350	19	and	and	CCONJ
easat-3717	350	20	by	by	ADP
easat-3717	350	21	this	this	PRON
easat-3717	350	22	we	we	PRON
easat-3717	350	23	can	can	AUX
easat-3717	350	24	conclude	conclude	VERB
easat-3717	350	25	that	that	SCONJ
easat-3717	350	26	the	the	DET
easat-3717	350	27	proposed	propose	VERB
easat-3717	350	28	model	model	NOUN
easat-3717	350	29	is	be	AUX
easat-3717	350	30	best	well	ADV
easat-3717	350	31	suitable	suitable	ADJ
easat-3717	350	32	for	for	ADP
easat-3717	350	33	real	real	ADJ
easat-3717	350	34	-	-	PUNCT
easat-3717	350	35	time	time	NOUN
easat-3717	350	36	quality	quality	NOUN
easat-3717	350	37	of	of	ADP
easat-3717	350	38	service	service	NOUN
easat-3717	350	39	predictions	prediction	NOUN
easat-3717	350	40	6.1	6.1	NUM
easat-3717	350	41	.	.	PUNCT
easat-3717	351	1	real	real	ADJ
easat-3717	351	2	world	world	NOUN
easat-3717	351	3	applications	application	NOUN
easat-3717	351	4	and	and	CCONJ
easat-3717	351	5	implications	implication	NOUN
easat-3717	351	6	the	the	DET
easat-3717	351	7	ensemble	ensemble	ADV
easat-3717	351	8	-	-	PUNCT
easat-3717	351	9	based	base	VERB
easat-3717	351	10	quality	quality	NOUN
easat-3717	351	11	of	of	ADP
easat-3717	351	12	service	service	NOUN
easat-3717	351	13	prediction	prediction	NOUN
easat-3717	351	14	model	model	NOUN
easat-3717	351	15	with	with	ADP
easat-3717	351	16	walrus	walrus	PROPN
easat-3717	351	17	optimization	optimization	NOUN
easat-3717	351	18	has	have	VERB
easat-3717	351	19	great	great	ADJ
easat-3717	351	20	promise	promise	NOUN
easat-3717	351	21	for	for	ADP
easat-3717	351	22	mobile	mobile	ADJ
easat-3717	351	23	networks	network	NOUN
easat-3717	351	24	and	and	CCONJ
easat-3717	351	25	service	service	NOUN
easat-3717	351	26	quality	quality	NOUN
easat-3717	351	27	prediction	prediction	NOUN
easat-3717	351	28	.	.	PUNCT
easat-3717	352	1	telecommunications	telecommunication	NOUN
easat-3717	352	2	firms	firm	NOUN
easat-3717	352	3	looking	look	VERB
easat-3717	352	4	to	to	PART
easat-3717	352	5	improve	improve	VERB
easat-3717	352	6	service	service	NOUN
easat-3717	352	7	quality	quality	NOUN
easat-3717	352	8	evaluation	evaluation	NOUN
easat-3717	352	9	might	might	AUX
easat-3717	352	10	use	use	VERB
easat-3717	352	11	this	this	DET
easat-3717	352	12	novel	novel	ADJ
easat-3717	352	13	technique	technique	NOUN
easat-3717	352	14	.	.	PUNCT
easat-3717	353	1	this	this	DET
easat-3717	353	2	approach	approach	NOUN
easat-3717	353	3	may	may	AUX
easat-3717	353	4	help	help	VERB
easat-3717	353	5	network	network	NOUN
easat-3717	353	6	operators	operator	NOUN
easat-3717	353	7	discover	discover	VERB
easat-3717	353	8	and	and	CCONJ
easat-3717	353	9	resolve	resolve	VERB
easat-3717	353	10	problems	problem	NOUN
easat-3717	353	11	like	like	ADP
easat-3717	353	12	latency	latency	NOUN
easat-3717	353	13	in	in	ADP
easat-3717	353	14	the	the	DET
easat-3717	353	15	network	network	NOUN
easat-3717	353	16	,	,	PUNCT
easat-3717	353	17	bandwidth	bandwidth	ADJ
easat-3717	353	18	availability	availability	NOUN
easat-3717	353	19	,	,	PUNCT
easat-3717	353	20	as	as	ADV
easat-3717	353	21	well	well	ADV
easat-3717	353	22	as	as	ADP
easat-3717	353	23	connection	connection	NOUN
easat-3717	353	24	stability	stability	NOUN
easat-3717	353	25	before	before	SCONJ
easat-3717	353	26	they	they	PRON
easat-3717	353	27	affect	affect	VERB
easat-3717	353	28	user	user	NOUN
easat-3717	353	29	experience	experience	NOUN
easat-3717	353	30	by	by	ADP
easat-3717	353	31	correctly	correctly	ADV
easat-3717	353	32	forecasting	forecasting	NOUN
easat-3717	353	33	service	service	NOUN
easat-3717	353	34	quality	quality	NOUN
easat-3717	353	35	indicators	indicator	NOUN
easat-3717	353	36	.	.	PUNCT
easat-3717	354	1	the	the	DET
easat-3717	354	2	model	model	NOUN
easat-3717	354	3	's	's	PART
easat-3717	354	4	walrus	walrus	PROPN
easat-3717	354	5	optimization	optimization	NOUN
easat-3717	354	6	algorithm	algorithm	NOUN
easat-3717	354	7	for	for	ADP
easat-3717	354	8	feature	feature	NOUN
easat-3717	354	9	selection	selection	NOUN
easat-3717	354	10	provides	provide	VERB
easat-3717	354	11	scalability	scalability	NOUN
easat-3717	354	12	and	and	CCONJ
easat-3717	354	13	flexibility	flexibility	NOUN
easat-3717	354	14	for	for	ADP
easat-3717	354	15	changing	change	VERB
easat-3717	354	16	network	network	NOUN
easat-3717	354	17	situations	situation	NOUN
easat-3717	354	18	.	.	PUNCT
easat-3717	355	1	beyond	beyond	ADP
easat-3717	355	2	telecommunications	telecommunication	NOUN
easat-3717	355	3	,	,	PUNCT
easat-3717	355	4	the	the	DET
easat-3717	355	5	model	model	NOUN
easat-3717	355	6	's	's	PART
easat-3717	355	7	ensemble	ensemble	ADJ
easat-3717	355	8	learning	learning	NOUN
easat-3717	355	9	architecture	architecture	NOUN
easat-3717	355	10	and	and	CCONJ
easat-3717	355	11	optimization	optimization	NOUN
easat-3717	355	12	approaches	approach	NOUN
easat-3717	355	13	are	be	AUX
easat-3717	355	14	applicable	applicable	ADJ
easat-3717	355	15	to	to	ADP
easat-3717	355	16	healthcare	healthcare	PROPN
easat-3717	355	17	,	,	PUNCT
easat-3717	355	18	banking	banking	NOUN
easat-3717	355	19	,	,	PUNCT
easat-3717	355	20	and	and	CCONJ
easat-3717	355	21	environmental	environmental	ADJ
easat-3717	355	22	monitoring	monitoring	NOUN
easat-3717	355	23	.	.	PUNCT
easat-3717	356	1	the	the	DET
easat-3717	356	2	approach	approach	NOUN
easat-3717	356	3	might	might	AUX
easat-3717	356	4	change	change	VERB
easat-3717	356	5	service	service	NOUN
easat-3717	356	6	quality	quality	NOUN
easat-3717	356	7	prediction	prediction	NOUN
easat-3717	356	8	,	,	PUNCT
easat-3717	356	9	providing	provide	VERB
easat-3717	356	10	industry	industry	NOUN
easat-3717	356	11	experts	expert	NOUN
easat-3717	356	12	and	and	CCONJ
easat-3717	356	13	researchers	researcher	NOUN
easat-3717	356	14	with	with	ADP
easat-3717	356	15	realistic	realistic	ADJ
easat-3717	356	16	answers	answer	NOUN
easat-3717	356	17	.	.	PUNCT
easat-3717	357	1	6.2	6.2	NUM
easat-3717	357	2	.	.	PUNCT
easat-3717	357	3	limitations	limitation	NOUN
easat-3717	357	4	ensemble	ensemble	ADJ
easat-3717	357	5	models	model	NOUN
easat-3717	357	6	like	like	ADP
easat-3717	357	7	gru	gru	PROPN
easat-3717	357	8	,	,	PUNCT
easat-3717	357	9	lstm	lstm	ADJ
easat-3717	357	10	,	,	PUNCT
easat-3717	357	11	random	random	ADJ
easat-3717	357	12	forest	forest	NOUN
easat-3717	357	13	along	along	ADP
easat-3717	357	14	with	with	ADP
easat-3717	357	15	woa	woa	ADJ
easat-3717	357	16	optimization	optimization	NOUN
easat-3717	357	17	may	may	AUX
easat-3717	357	18	improve	improve	VERB
easat-3717	357	19	prediction	prediction	NOUN
easat-3717	357	20	accuracy	accuracy	NOUN
easat-3717	357	21	,	,	PUNCT
easat-3717	357	22	but	but	CCONJ
easat-3717	357	23	they	they	PRON
easat-3717	357	24	have	have	VERB
easat-3717	357	25	limitations	limitation	NOUN
easat-3717	357	26	.	.	PUNCT
easat-3717	358	1	integrating	integrate	VERB
easat-3717	358	2	learning	learn	VERB
easat-3717	358	3	algorithms	algorithm	NOUN
easat-3717	358	4	may	may	AUX
easat-3717	358	5	slow	slow	VERB
easat-3717	358	6	real	real	ADJ
easat-3717	358	7	-	-	PUNCT
easat-3717	358	8	time	time	NOUN
easat-3717	358	9	applications	application	NOUN
easat-3717	358	10	or	or	CCONJ
easat-3717	358	11	resource	resource	NOUN
easat-3717	358	12	-	-	PUNCT
easat-3717	358	13	constrained	constrain	VERB
easat-3717	358	14	devices	device	NOUN
easat-3717	358	15	.	.	PUNCT
easat-3717	359	1	selecting	select	VERB
easat-3717	359	2	hyper	hyper	ADJ
easat-3717	359	3	parameters	parameter	NOUN
easat-3717	359	4	and	and	CCONJ
easat-3717	359	5	optimization	optimization	NOUN
easat-3717	359	6	techniques	technique	NOUN
easat-3717	359	7	for	for	ADP
easat-3717	359	8	each	each	DET
easat-3717	359	9	component	component	NOUN
easat-3717	359	10	model	model	NOUN
easat-3717	359	11	is	be	AUX
easat-3717	359	12	challenging	challenge	VERB
easat-3717	359	13	due	due	ADJ
easat-3717	359	14	to	to	ADP
easat-3717	359	15	the	the	DET
easat-3717	359	16	highly	highly	ADV
easat-3717	359	17	dimensional	dimensional	ADJ
easat-3717	359	18	parameter	parameter	NOUN
easat-3717	359	19	space	space	NOUN
easat-3717	359	20	&	&	CCONJ
easat-3717	359	21	probable	probable	ADJ
easat-3717	359	22	model	model	NOUN
easat-3717	359	23	interactions	interaction	NOUN
easat-3717	359	24	,	,	PUNCT
easat-3717	359	25	yet	yet	CCONJ
easat-3717	359	26	the	the	DET
easat-3717	359	27	ensemble	ensemble	ADJ
easat-3717	359	28	model	model	NOUN
easat-3717	359	29	's	's	PART
easat-3717	359	30	effectiveness	effectiveness	NOUN
easat-3717	359	31	relies	rely	VERB
easat-3717	359	32	on	on	ADP
easat-3717	359	33	it	it	PRON
easat-3717	359	34	.	.	PUNCT
easat-3717	360	1	stakeholders	stakeholder	NOUN
easat-3717	360	2	struggle	struggle	VERB
easat-3717	360	3	to	to	PART
easat-3717	360	4	understand	understand	VERB
easat-3717	360	5	and	and	CCONJ
easat-3717	360	6	trust	trust	VERB
easat-3717	360	7	ensemble	ensemble	ADJ
easat-3717	360	8	models	model	NOUN
easat-3717	360	9	like	like	ADP
easat-3717	360	10	models	model	NOUN
easat-3717	360	11	based	base	VERB
easat-3717	360	12	on	on	ADP
easat-3717	360	13	deep	deep	ADJ
easat-3717	360	14	learning	learning	NOUN
easat-3717	360	15	,	,	PUNCT
easat-3717	360	16	which	which	PRON
easat-3717	360	17	are	be	AUX
easat-3717	360	18	black	black	ADJ
easat-3717	360	19	boxes	box	NOUN
easat-3717	360	20	.	.	PUNCT
easat-3717	361	1	scalability	scalability	NOUN
easat-3717	361	2	of	of	ADP
easat-3717	361	3	the	the	DET
easat-3717	361	4	ensemble	ensemble	ADJ
easat-3717	361	5	approach	approach	NOUN
easat-3717	361	6	may	may	AUX
easat-3717	361	7	be	be	AUX
easat-3717	361	8	limited	limit	VERB
easat-3717	361	9	for	for	ADP
easat-3717	361	10	large	large	ADJ
easat-3717	361	11	datasets	dataset	NOUN
easat-3717	361	12	or	or	CCONJ
easat-3717	361	13	high	high	ADV
easat-3717	361	14	-	-	PUNCT
easat-3717	361	15	dimensional	dimensional	ADJ
easat-3717	361	16	features	feature	NOUN
easat-3717	361	17	spaces	space	NOUN
easat-3717	361	18	,	,	PUNCT
easat-3717	361	19	requiring	require	VERB
easat-3717	361	20	careful	careful	ADJ
easat-3717	361	21	processing	processing	NOUN
easat-3717	361	22	resources	resource	NOUN
easat-3717	361	23	as	as	ADV
easat-3717	361	24	well	well	ADV
easat-3717	361	25	as	as	ADP
easat-3717	361	26	algorithmic	algorithmic	ADJ
easat-3717	361	27	efficiency	efficiency	NOUN
easat-3717	361	28	.	.	PUNCT
easat-3717	362	1	7900	7900	NUM
easat-3717	362	2	edelweiss	edelweiss	PROPN
easat-3717	362	3	applied	apply	VERB
easat-3717	362	4	science	science	NOUN
easat-3717	362	5	and	and	CCONJ
easat-3717	362	6	technology	technology	NOUN
easat-3717	362	7	issn	issn	PROPN
easat-3717	362	8	:	:	PUNCT
easat-3717	362	9	2576	2576	NUM
easat-3717	362	10	-	-	SYM
easat-3717	362	11	8484	8484	NUM
easat-3717	362	12	vol	vol	NOUN
easat-3717	362	13	.	.	PROPN
easat-3717	362	14	8	8	NUM
easat-3717	362	15	,	,	PUNCT
easat-3717	362	16	no	no	INTJ
easat-3717	362	17	.	.	NOUN
easat-3717	362	18	6	6	NUM
easat-3717	362	19	:	:	PUNCT
easat-3717	362	20	7878	7878	NUM
easat-3717	362	21	-	-	SYM
easat-3717	362	22	7901	7901	NUM
easat-3717	362	23	,	,	PUNCT
easat-3717	362	24	2024	2024	NUM
easat-3717	362	25	doi	doi	NOUN
easat-3717	362	26	:	:	PUNCT
easat-3717	362	27	10.55214/25768484.v8i6.3717	10.55214/25768484.v8i6.3717	PROPN
easat-3717	362	28	©	©	PROPN
easat-3717	362	29	2024	2024	NUM
easat-3717	362	30	by	by	ADP
easat-3717	362	31	the	the	DET
easat-3717	362	32	authors	author	NOUN
easat-3717	362	33	;	;	PUNCT
easat-3717	362	34	licensee	licensee	PROPN
easat-3717	362	35	learning	learning	NOUN
easat-3717	362	36	gate	gate	VERB
easat-3717	362	37	6.3	6.3	NUM
easat-3717	362	38	.	.	PUNCT
easat-3717	363	1	potential	potential	ADJ
easat-3717	363	2	challenges	challenge	NOUN
easat-3717	363	3	for	for	ADP
easat-3717	363	4	implementation	implementation	NOUN
easat-3717	363	5	ensemble	ensemble	ADJ
easat-3717	363	6	models	model	NOUN
easat-3717	363	7	using	use	VERB
easat-3717	363	8	voting	voting	NOUN
easat-3717	363	9	classifiers	classifier	NOUN
easat-3717	363	10	and	and	CCONJ
easat-3717	363	11	walrus	walrus	PROPN
easat-3717	363	12	optimization	optimization	NOUN
easat-3717	363	13	algorithm	algorithm	PROPN
easat-3717	363	14	(	(	PUNCT
easat-3717	363	15	woa	woa	NOUN
easat-3717	363	16	)	)	PUNCT
easat-3717	363	17	feature	feature	NOUN
easat-3717	363	18	selection	selection	NOUN
easat-3717	363	19	may	may	AUX
easat-3717	363	20	have	have	VERB
easat-3717	363	21	difficulties	difficulty	NOUN
easat-3717	363	22	.	.	PUNCT
easat-3717	364	1	coordinate	coordinate	VERB
easat-3717	364	2	and	and	CCONJ
easat-3717	364	3	test	test	NOUN
easat-3717	364	4	data	datum	NOUN
easat-3717	364	5	preprocessing	preprocessing	NOUN
easat-3717	364	6	,	,	PUNCT
easat-3717	364	7	feature	feature	NOUN
easat-3717	364	8	selection	selection	NOUN
easat-3717	364	9	,	,	PUNCT
easat-3717	364	10	ensemble	ensemble	ADJ
easat-3717	364	11	construction	construction	NOUN
easat-3717	364	12	,	,	PUNCT
easat-3717	364	13	and	and	CCONJ
easat-3717	364	14	optimization	optimization	NOUN
easat-3717	364	15	for	for	ADP
easat-3717	364	16	model	model	NOUN
easat-3717	364	17	integration	integration	NOUN
easat-3717	364	18	and	and	CCONJ
easat-3717	364	19	interoperability	interoperability	NOUN
easat-3717	364	20	.	.	PUNCT
easat-3717	365	1	to	to	PART
easat-3717	365	2	identify	identify	VERB
easat-3717	365	3	the	the	DET
easat-3717	365	4	optimum	optimum	ADJ
easat-3717	365	5	techniques	technique	NOUN
easat-3717	365	6	and	and	CCONJ
easat-3717	365	7	hyper	hyper	ADJ
easat-3717	365	8	parameters	parameter	NOUN
easat-3717	365	9	,	,	PUNCT
easat-3717	365	10	performance	performance	NOUN
easat-3717	365	11	may	may	AUX
easat-3717	365	12	need	need	VERB
easat-3717	365	13	extensive	extensive	ADJ
easat-3717	365	14	tweaking	tweaking	NOUN
easat-3717	365	15	and	and	CCONJ
easat-3717	365	16	experimentation	experimentation	NOUN
easat-3717	365	17	,	,	PUNCT
easat-3717	365	18	adding	add	VERB
easat-3717	365	19	complexity	complexity	NOUN
easat-3717	365	20	as	as	ADV
easat-3717	365	21	well	well	ADV
easat-3717	365	22	as	as	ADP
easat-3717	365	23	duration	duration	NOUN
easat-3717	365	24	to	to	ADP
easat-3717	365	25	development	development	NOUN
easat-3717	365	26	.	.	PUNCT
easat-3717	366	1	the	the	DET
easat-3717	366	2	proposed	propose	VERB
easat-3717	366	3	method	method	NOUN
easat-3717	366	4	may	may	AUX
easat-3717	366	5	need	need	VERB
easat-3717	366	6	scalable	scalable	ADJ
easat-3717	366	7	algorithms	algorithm	NOUN
easat-3717	366	8	and	and	CCONJ
easat-3717	366	9	networked	networked	ADJ
easat-3717	366	10	computer	computer	NOUN
easat-3717	366	11	infrastructures	infrastructure	NOUN
easat-3717	366	12	to	to	PART
easat-3717	366	13	evaluate	evaluate	VERB
easat-3717	366	14	enormous	enormous	ADJ
easat-3717	366	15	volumes	volume	NOUN
easat-3717	366	16	of	of	ADP
easat-3717	366	17	data	datum	NOUN
easat-3717	366	18	.	.	PUNCT
easat-3717	367	1	reliable	reliable	ADJ
easat-3717	367	2	validation	validation	NOUN
easat-3717	367	3	and	and	CCONJ
easat-3717	367	4	evaluation	evaluation	NOUN
easat-3717	367	5	of	of	ADP
easat-3717	367	6	the	the	DET
easat-3717	367	7	ensemble	ensemble	ADJ
easat-3717	367	8	model	model	NOUN
easat-3717	367	9	's	's	PART
easat-3717	367	10	generalization	generalization	NOUN
easat-3717	367	11	accuracy	accuracy	NOUN
easat-3717	367	12	and	and	CCONJ
easat-3717	367	13	dependability	dependability	NOUN
easat-3717	367	14	across	across	ADP
easat-3717	367	15	datasets	dataset	NOUN
easat-3717	367	16	and	and	CCONJ
easat-3717	367	17	application	application	NOUN
easat-3717	367	18	contexts	context	NOUN
easat-3717	367	19	need	need	VERB
easat-3717	367	20	rigorous	rigorous	ADJ
easat-3717	367	21	experimental	experimental	ADJ
easat-3717	367	22	design	design	NOUN
easat-3717	367	23	&	&	CCONJ
easat-3717	367	24	statistical	statistical	ADJ
easat-3717	367	25	analysis	analysis	NOUN
easat-3717	367	26	.	.	PUNCT
easat-3717	368	1	funding	funding	NOUN
easat-3717	368	2	:	:	PUNCT
easat-3717	368	3	this	this	DET
easat-3717	368	4	research	research	NOUN
easat-3717	368	5	supported	support	VERB
easat-3717	368	6	by	by	ADP
easat-3717	368	7	basic	basic	ADJ
easat-3717	368	8	science	science	NOUN
easat-3717	368	9	research	research	NOUN
easat-3717	368	10	program	program	NOUN
easat-3717	368	11	through	through	ADP
easat-3717	368	12	the	the	DET
easat-3717	368	13	national	national	PROPN
easat-3717	368	14	research	research	PROPN
easat-3717	368	15	foundation	foundation	PROPN
easat-3717	368	16	of	of	ADP
easat-3717	368	17	korea	korea	PROPN
easat-3717	368	18	(	(	PUNCT
easat-3717	368	19	nrf	nrf	NOUN
easat-3717	368	20	)	)	PUNCT
easat-3717	368	21	funded	fund	VERB
easat-3717	368	22	by	by	ADP
easat-3717	368	23	the	the	DET
easat-3717	368	24	ministry	ministry	PROPN
easat-3717	368	25	of	of	ADP
easat-3717	368	26	education	education	PROPN
easat-3717	368	27	(	(	PUNCT
easat-3717	368	28	nrfrs-2023	nrfrs-2023	NOUN
easat-3717	368	29	00237287	00237287	NUM
easat-3717	368	30	,	,	PUNCT
easat-3717	368	31	nrf2021s1a5a8062526	nrf2021s1a5a8062526	NOUN
easat-3717	368	32	)	)	PUNCT
easat-3717	368	33	and	and	CCONJ
easat-3717	368	34	local	local	ADJ
easat-3717	368	35	government	government	NOUN
easat-3717	368	36	-	-	PUNCT
easat-3717	368	37	university	university	NOUN
easat-3717	368	38	cooperation	cooperation	NOUN
easat-3717	368	39	-	-	PUNCT
easat-3717	368	40	based	base	VERB
easat-3717	368	41	regional	regional	ADJ
easat-3717	368	42	innovation	innovation	NOUN
easat-3717	368	43	projects	project	NOUN
easat-3717	368	44	(	(	PUNCT
easat-3717	368	45	2021ris-003	2021ris-003	NOUN
easat-3717	368	46	)	)	PUNCT
easat-3717	368	47	.	.	PUNCT
easat-3717	369	1	acknowledgement	acknowledgement	NOUN
easat-3717	369	2	:	:	PUNCT
easat-3717	369	3	we	we	PRON
easat-3717	369	4	are	be	AUX
easat-3717	369	5	thankful	thankful	ADJ
easat-3717	369	6	to	to	ADP
easat-3717	369	7	the	the	DET
easat-3717	369	8	editors	editor	NOUN
easat-3717	369	9	and	and	CCONJ
easat-3717	369	10	the	the	DET
easat-3717	369	11	anonymous	anonymous	ADJ
easat-3717	369	12	reviewers	reviewer	NOUN
easat-3717	369	13	for	for	ADP
easat-3717	369	14	many	many	ADJ
easat-3717	369	15	valuable	valuable	ADJ
easat-3717	369	16	suggestions	suggestion	NOUN
easat-3717	369	17	to	to	PART
easat-3717	369	18	improve	improve	VERB
easat-3717	369	19	this	this	DET
easat-3717	369	20	paper	paper	NOUN
easat-3717	369	21	.	.	PUNCT
easat-3717	370	1	copyright	copyright	NOUN
easat-3717	370	2	:	:	PUNCT
easat-3717	370	3	©	©	PROPN
easat-3717	370	4	2024	2024	NUM
easat-3717	370	5	by	by	ADP
easat-3717	370	6	the	the	DET
easat-3717	370	7	authors	author	NOUN
easat-3717	370	8	.	.	PUNCT
easat-3717	371	1	this	this	DET
easat-3717	371	2	article	article	NOUN
easat-3717	371	3	is	be	AUX
easat-3717	371	4	an	an	DET
easat-3717	371	5	open	open	ADJ
easat-3717	371	6	access	access	NOUN
easat-3717	371	7	article	article	NOUN
easat-3717	371	8	distributed	distribute	VERB
easat-3717	371	9	under	under	ADP
easat-3717	371	10	the	the	DET
easat-3717	371	11	terms	term	NOUN
easat-3717	371	12	and	and	CCONJ
easat-3717	371	13	conditions	condition	NOUN
easat-3717	371	14	of	of	ADP
easat-3717	371	15	the	the	DET
easat-3717	371	16	creative	creative	ADJ
easat-3717	371	17	commons	common	NOUN
easat-3717	371	18	attribution	attribution	NOUN
easat-3717	371	19	(	(	PUNCT
easat-3717	371	20	cc	cc	NOUN
easat-3717	371	21	by	by	ADP
easat-3717	371	22	)	)	PUNCT
easat-3717	371	23	license	license	NOUN
easat-3717	371	24	(	(	PUNCT
easat-3717	371	25	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-3717	371	26	)	)	PUNCT
easat-3717	371	27	.	.	PUNCT
easat-3717	372	1	references	reference	NOUN
easat-3717	372	2	[	[	X
easat-3717	372	3	1	1	NUM
easat-3717	372	4	]	]	PUNCT
easat-3717	372	5	h.	h.	PROPN
easat-3717	372	6	bi	bi	PROPN
easat-3717	372	7	,	,	PUNCT
easat-3717	372	8	l.	l.	PROPN
easat-3717	372	9	lu	lu	PROPN
easat-3717	372	10	,	,	PUNCT
easat-3717	372	11	and	and	CCONJ
easat-3717	372	12	y.	y.	PROPN
easat-3717	372	13	meng	meng	PROPN
easat-3717	372	14	,	,	PUNCT
easat-3717	372	15	“	"	PUNCT
easat-3717	372	16	hierarchical	hierarchical	ADJ
easat-3717	372	17	attention	attention	NOUN
easat-3717	372	18	network	network	NOUN
easat-3717	372	19	for	for	ADP
easat-3717	372	20	multivariate	multivariate	NOUN
easat-3717	372	21	time	time	NOUN
easat-3717	372	22	series	series	PROPN
easat-3717	372	23	long	long	ADJ
easat-3717	372	24	-	-	PUNCT
easat-3717	372	25	term	term	NOUN
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easat-3717	372	30	.	.	PUNCT
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easat-3717	373	2	.	.	PUNCT
easat-3717	374	1	,	,	PUNCT
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easat-3717	375	2	,	,	PUNCT
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easat-3717	375	4	.	.	NOUN
easat-3717	375	5	5	5	NUM
easat-3717	375	6	,	,	PUNCT
easat-3717	375	7	pp	pp	ADJ
easat-3717	375	8	.	.	PUNCT
easat-3717	376	1	5060–5071	5060–5071	NUM
easat-3717	376	2	,	,	PUNCT
easat-3717	376	3	2023	2023	NUM
easat-3717	376	4	,	,	PUNCT
easat-3717	376	5	doi	doi	NOUN
easat-3717	376	6	:	:	PUNCT
easat-3717	376	7	10.1007	10.1007	NUM
easat-3717	376	8	/	/	SYM
easat-3717	376	9	s10489	s10489	NOUN
easat-3717	376	10	-	-	PUNCT
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easat-3717	376	12	-	-	PUNCT
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easat-3717	376	14	-	-	SYM
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easat-3717	376	16	.	.	PUNCT
easat-3717	377	1	[	[	X
easat-3717	377	2	2	2	NUM
easat-3717	377	3	]	]	PUNCT
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easat-3717	377	54	,	,	PUNCT
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easat-3717	377	58	,	,	PUNCT
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easat-3717	377	61	,	,	PUNCT
easat-3717	377	62	2022	2022	NUM
easat-3717	377	63	,	,	PUNCT
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easat-3717	377	65	:	:	PUNCT
easat-3717	377	66	https://doi.org/10.1016/j.rineng.2022.100365	https://doi.org/10.1016/j.rineng.2022.100365	NOUN
easat-3717	377	67	.	.	PUNCT
easat-3717	378	1	[	[	X
easat-3717	378	2	3	3	X
easat-3717	378	3	]	]	X
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easat-3717	379	2	.	.	PUNCT
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easat-3717	380	2	.	.	PUNCT
easat-3717	380	3	manag	manag	PROPN
easat-3717	380	4	.	.	PROPN
easat-3717	380	5	,	,	PUNCT
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easat-3717	380	7	.	.	PROPN
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easat-3717	381	6	,	,	PUNCT
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easat-3717	381	8	.	.	PUNCT
easat-3717	382	1	851–865	851–865	NUM
easat-3717	382	2	,	,	PUNCT
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easat-3717	382	4	,	,	PUNCT
easat-3717	382	5	doi	doi	NOUN
easat-3717	382	6	:	:	PUNCT
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easat-3717	382	8	/	/	SYM
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easat-3717	382	10	.	.	PUNCT
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easat-3717	383	3	]	]	PUNCT
easat-3717	383	4	x.	x.	PROPN
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easat-3717	383	20	and	and	CCONJ
easat-3717	383	21	t.	t.	PROPN
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easat-3717	383	25	“	"	PUNCT
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easat-3717	383	39	data	datum	NOUN
easat-3717	383	40	forecasting	forecasting	NOUN
easat-3717	383	41	,	,	PUNCT
easat-3717	383	42	”	"	PUNCT
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easat-3717	383	44	,	,	PUNCT
easat-3717	383	45	vol	vol	NOUN
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easat-3717	383	52	,	,	PUNCT
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easat-3717	383	54	.	.	PUNCT
easat-3717	384	1	1–17	1–17	NOUN
easat-3717	384	2	,	,	PUNCT
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easat-3717	384	4	,	,	PUNCT
easat-3717	384	5	doi	doi	NOUN
easat-3717	384	6	:	:	PUNCT
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easat-3717	384	8	/	/	SYM
easat-3717	384	9	e24030335	e24030335	NOUN
easat-3717	384	10	.	.	PUNCT
easat-3717	385	1	[	[	X
easat-3717	385	2	5	5	X
easat-3717	385	3	]	]	PUNCT
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easat-3717	385	8	.	.	PROPN
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easat-3717	385	10	“	"	PUNCT
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easat-3717	385	19	:	:	PUNCT
easat-3717	385	20	a	a	DET
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easat-3717	388	6	,	,	PUNCT
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easat-3717	388	9	,	,	PUNCT
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easat-3717	388	11	,	,	PUNCT
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easat-3717	389	42	,	,	PUNCT
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easat-3717	389	44	.	.	PUNCT
easat-3717	390	1	512–521	512–521	NUM
easat-3717	390	2	,	,	PUNCT
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easat-3717	390	10	.	.	PUNCT
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easat-3717	391	22	“	"	PUNCT
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easat-3717	391	31	time	time	NOUN
easat-3717	391	32	series	series	PROPN
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easat-3717	391	34	:	:	PUNCT
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easat-3717	391	40	-	-	PUNCT
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easat-3717	391	42	-	-	PUNCT
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easat-3717	391	44	and	and	CCONJ
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easat-3717	391	47	conditions	condition	NOUN
easat-3717	391	48	for	for	ADP
easat-3717	391	49	the	the	DET
easat-3717	391	50	use	use	NOUN
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easat-3717	391	55	”	"	PUNCT
easat-3717	391	56	inf	inf	NOUN
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easat-3717	391	60	(	(	PUNCT
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easat-3717	391	62	)	)	PUNCT
easat-3717	391	63	.	.	PUNCT
easat-3717	392	1	,	,	PUNCT
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easat-3717	392	3	.	.	NOUN
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easat-3717	393	2	,	,	PUNCT
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easat-3717	393	4	.	.	PUNCT
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easat-3717	394	2	,	,	PUNCT
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easat-3717	394	4	,	,	PUNCT
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easat-3717	394	6	:	:	PUNCT
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easat-3717	394	10	.	.	PUNCT
easat-3717	395	1	[	[	X
easat-3717	395	2	8	8	NUM
easat-3717	395	3	]	]	PUNCT
easat-3717	395	4	z.	z.	PROPN
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easat-3717	395	7	s.	s.	PROPN
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easat-3717	395	9	,	,	PUNCT
easat-3717	395	10	k.	k.	PROPN
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easat-3717	395	17	y.	y.	PROPN
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easat-3717	395	21	recurrent	recurrent	ADJ
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easat-3717	395	33	sci	sci	PROPN
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easat-3717	395	36	.	.	PROPN
easat-3717	395	37	,	,	PUNCT
easat-3717	395	38	vol	vol	NOUN
easat-3717	395	39	.	.	PROPN
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easat-3717	395	41	,	,	PUNCT
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easat-3717	395	44	1	1	NUM
easat-3717	395	45	,	,	PUNCT
easat-3717	395	46	pp	pp	ADJ
easat-3717	395	47	.	.	PUNCT
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easat-3717	396	2	,	,	PUNCT
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easat-3717	396	4	,	,	PUNCT
easat-3717	396	5	doi	doi	NOUN
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easat-3717	396	10	-	-	PUNCT
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easat-3717	396	12	-	-	PUNCT
easat-3717	396	13	24271	24271	NUM
easat-3717	396	14	-	-	SYM
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easat-3717	396	16	.	.	PUNCT
easat-3717	397	1	[	[	X
easat-3717	397	2	9	9	NUM
easat-3717	397	3	]	]	PUNCT
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easat-3717	397	9	,	,	PUNCT
easat-3717	397	10	h.	h.	PROPN
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easat-3717	397	12	,	,	PUNCT
easat-3717	397	13	z.	z.	PROPN
easat-3717	397	14	peng	peng	PROPN
easat-3717	397	15	,	,	PUNCT
easat-3717	397	16	and	and	CCONJ
easat-3717	397	17	p.	p.	PROPN
easat-3717	397	18	s.	s.	PROPN
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easat-3717	397	20	,	,	PUNCT
easat-3717	397	21	“	"	PUNCT
easat-3717	397	22	multivariate	multivariate	NOUN
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easat-3717	397	29	graph	graph	NOUN
easat-3717	397	30	convolutional	convolutional	ADJ
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easat-3717	397	40	acm	acm	PROPN
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easat-3717	397	42	.	.	PUNCT
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easat-3717	399	1	syst	syst	PROPN
easat-3717	399	2	.	.	PUNCT
easat-3717	400	1	technol	technol	PROPN
easat-3717	400	2	.	.	PROPN
easat-3717	400	3	,	,	PUNCT
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easat-3717	400	5	.	.	PROPN
easat-3717	401	1	13	13	NUM
easat-3717	401	2	,	,	PUNCT
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easat-3717	401	4	.	.	NOUN
easat-3717	401	5	3	3	NUM
easat-3717	401	6	,	,	PUNCT
easat-3717	401	7	pp	pp	ADJ
easat-3717	401	8	.	.	PUNCT
easat-3717	402	1	1–22	1–22	PROPN
easat-3717	402	2	,	,	PUNCT
easat-3717	402	3	2022	2022	NUM
easat-3717	402	4	,	,	PUNCT
easat-3717	402	5	doi	doi	NOUN
easat-3717	402	6	:	:	PUNCT
easat-3717	402	7	10.1145/3469087	10.1145/3469087	NUM
easat-3717	402	8	.	.	PUNCT
easat-3717	403	1	[	[	X
easat-3717	403	2	10	10	NUM
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easat-3717	403	21	v.	v.	ADP
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easat-3717	403	23	,	,	PUNCT
easat-3717	403	24	“	"	PUNCT
easat-3717	403	25	mcsc	mcsc	NOUN
easat-3717	403	26	-	-	PUNCT
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easat-3717	403	28	:	:	PUNCT
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easat-3717	403	35	-	-	PUNCT
easat-3717	403	36	neural	neural	ADJ
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easat-3717	403	48	j.	j.	PROPN
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easat-3717	404	1	sci	sci	PROPN
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easat-3717	405	6	,	,	PUNCT
easat-3717	405	7	pp	pp	ADJ
easat-3717	405	8	.	.	PUNCT
easat-3717	406	1	483–509	483–509	NUM
easat-3717	406	2	,	,	PUNCT
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easat-3717	406	4	,	,	PUNCT
easat-3717	406	5	doi	doi	NOUN
easat-3717	406	6	:	:	PUNCT
easat-3717	406	7	10.3233	10.3233	NUM
easat-3717	406	8	/	/	SYM
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easat-3717	406	10	.	.	PUNCT
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easat-3717	407	2	11	11	NUM
easat-3717	407	3	]	]	PUNCT
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easat-3717	407	10	h.	h.	PROPN
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easat-3717	407	26	:	:	PUNCT
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easat-3717	407	37	environments	environment	NOUN
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easat-3717	407	39	”	"	PUNCT
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easat-3717	407	42	.	.	PUNCT
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easat-3717	407	45	.	.	PUNCT
easat-3717	407	46	,	,	PUNCT
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easat-3717	407	54	,	,	PUNCT
easat-3717	407	55	2022	2022	NUM
easat-3717	407	56	,	,	PUNCT
easat-3717	407	57	doi	doi	NOUN
easat-3717	407	58	:	:	PUNCT
easat-3717	407	59	10.1145/3524114	10.1145/3524114	NUM
easat-3717	407	60	.	.	PUNCT
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easat-3717	408	2	12	12	NUM
easat-3717	408	3	]	]	PUNCT
easat-3717	408	4	j.	j.	PROPN
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easat-3717	408	7	y.	y.	PROPN
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easat-3717	410	9	:	:	PUNCT
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easat-3717	410	11	-	-	SYM
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easat-3717	410	14	.	.	PROPN
easat-3717	410	15	8	8	NUM
easat-3717	410	16	,	,	PUNCT
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easat-3717	410	20	:	:	PUNCT
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easat-3717	410	22	-	-	SYM
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easat-3717	410	24	,	,	PUNCT
easat-3717	410	25	2024	2024	NUM
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easat-3717	410	27	:	:	PUNCT
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easat-3717	411	2	13	13	NUM
easat-3717	411	3	]	]	X
easat-3717	411	4	y.	y.	PROPN
easat-3717	411	5	s.	s.	PROPN
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easat-3717	411	8	j.	j.	PROPN
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easat-3717	411	11	“	"	PUNCT
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easat-3717	411	13	-	-	PUNCT
easat-3717	411	14	d	d	NOUN
easat-3717	411	15	:	:	PUNCT
easat-3717	411	16	a	a	DET
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easat-3717	412	1	,	,	PUNCT
easat-3717	412	2	”	"	PUNCT
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easat-3717	412	5	.	.	PUNCT
easat-3717	413	1	comput	comput	PROPN
easat-3717	413	2	.	.	PUNCT
easat-3717	414	1	syst	syst	PROPN
easat-3717	414	2	.	.	PUNCT
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easat-3717	414	5	.	.	PROPN
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easat-3717	415	1	376–392	376–392	NUM
easat-3717	415	2	,	,	PUNCT
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easat-3717	415	5	,	,	PUNCT
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easat-3717	416	1	[	[	X
easat-3717	416	2	14	14	NUM
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easat-3717	416	4	n.	n.	PROPN
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easat-3717	416	6	,	,	PUNCT
easat-3717	416	7	b.	b.	PROPN
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easat-3717	416	9	,	,	PUNCT
easat-3717	416	10	x.	x.	PROPN
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easat-3717	416	17	“	"	PUNCT
easat-3717	416	18	deep	deep	ADJ
easat-3717	416	19	transformer	transformer	NOUN
easat-3717	416	20	models	model	NOUN
easat-3717	416	21	for	for	ADP
easat-3717	416	22	time	time	NOUN
easat-3717	416	23	series	series	PROPN
easat-3717	416	24	forecasting	forecasting	PROPN
easat-3717	416	25	:	:	PUNCT
easat-3717	416	26	the	the	DET
easat-3717	416	27	influenza	influenza	ADJ
easat-3717	416	28	prevalence	prevalence	NOUN
easat-3717	416	29	case	case	NOUN
easat-3717	416	30	,	,	PUNCT
easat-3717	416	31	”	"	PUNCT
easat-3717	416	32	2020	2020	NUM
easat-3717	416	33	,	,	PUNCT
easat-3717	417	1	[	[	X
easat-3717	417	2	online	online	X
easat-3717	417	3	]	]	X
easat-3717	417	4	.	.	PUNCT
easat-3717	418	1	available	available	ADJ
easat-3717	418	2	:	:	PUNCT
easat-3717	418	3	http://arxiv.org/abs/2001.08317	http://arxiv.org/abs/2001.08317	ADV
easat-3717	419	1	[	[	X
easat-3717	419	2	15	15	NUM
easat-3717	419	3	]	]	X
easat-3717	419	4	l.	l.	PROPN
easat-3717	419	5	huang	huang	PROPN
easat-3717	419	6	,	,	PUNCT
easat-3717	419	7	f.	f.	PROPN
easat-3717	419	8	mao	mao	PROPN
easat-3717	419	9	,	,	PUNCT
easat-3717	419	10	k.	k.	PROPN
easat-3717	419	11	zhang	zhang	PROPN
easat-3717	419	12	,	,	PUNCT
easat-3717	419	13	and	and	CCONJ
easat-3717	419	14	z.	z.	PROPN
easat-3717	419	15	li	li	PROPN
easat-3717	419	16	,	,	PUNCT
easat-3717	419	17	“	"	PUNCT
easat-3717	419	18	spatial	spatial	ADJ
easat-3717	419	19	-	-	PUNCT
easat-3717	419	20	temporal	temporal	ADJ
easat-3717	419	21	convolutional	convolutional	ADJ
easat-3717	419	22	transformer	transformer	NOUN
easat-3717	419	23	network	network	NOUN
easat-3717	419	24	for	for	ADP
easat-3717	419	25	multivariate	multivariate	NOUN
easat-3717	419	26	time	time	NOUN
easat-3717	419	27	series	series	PROPN
easat-3717	419	28	forecasting	forecasting	NOUN
easat-3717	419	29	,	,	PUNCT
easat-3717	419	30	”	"	PUNCT
easat-3717	419	31	sensors	sensor	NOUN
easat-3717	419	32	,	,	PUNCT
easat-3717	419	33	vol	vol	NOUN
easat-3717	419	34	.	.	PROPN
easat-3717	419	35	22	22	NUM
easat-3717	419	36	,	,	PUNCT
easat-3717	419	37	no	no	INTJ
easat-3717	419	38	.	.	NOUN
easat-3717	419	39	3	3	NUM
easat-3717	419	40	,	,	PUNCT
easat-3717	419	41	2022	2022	NUM
easat-3717	419	42	,	,	PUNCT
easat-3717	419	43	doi	doi	NOUN
easat-3717	419	44	:	:	PUNCT
easat-3717	419	45	10.3390	10.3390	NUM
easat-3717	419	46	/	/	SYM
easat-3717	419	47	s22030841	s22030841	NOUN
easat-3717	419	48	.	.	PUNCT
easat-3717	420	1	[	[	X
easat-3717	420	2	16	16	NUM
easat-3717	420	3	]	]	PUNCT
easat-3717	420	4	s.	s.	PROPN
easat-3717	420	5	t.	t.	PROPN
easat-3717	420	6	nabi	nabi	PROPN
easat-3717	420	7	et	et	PROPN
easat-3717	420	8	al	al	PROPN
easat-3717	420	9	.	.	PROPN
easat-3717	420	10	,	,	PUNCT
easat-3717	420	11	“	"	PUNCT
easat-3717	420	12	deep	deep	ADJ
easat-3717	420	13	learning	learning	NOUN
easat-3717	420	14	based	base	VERB
easat-3717	420	15	fusion	fusion	NOUN
easat-3717	420	16	model	model	NOUN
easat-3717	420	17	for	for	ADP
easat-3717	420	18	multivariate	multivariate	NOUN
easat-3717	420	19	lte	lte	PROPN
easat-3717	420	20	traffic	traffic	NOUN
easat-3717	420	21	forecasting	forecasting	NOUN
easat-3717	420	22	and	and	CCONJ
easat-3717	420	23	optimized	optimize	VERB
easat-3717	420	24	radio	radio	NOUN
easat-3717	420	25	parameter	parameter	NOUN
easat-3717	420	26	estimation	estimation	NOUN
easat-3717	420	27	,	,	PUNCT
easat-3717	420	28	”	"	PUNCT
easat-3717	420	29	ieee	ieee	NOUN
easat-3717	420	30	access	access	NOUN
easat-3717	420	31	,	,	PUNCT
easat-3717	420	32	vol	vol	NOUN
easat-3717	420	33	.	.	PROPN
easat-3717	420	34	11	11	NUM
easat-3717	420	35	,	,	PUNCT
easat-3717	420	36	no	no	INTJ
easat-3717	420	37	.	.	PUNCT
easat-3717	421	1	february	february	PROPN
easat-3717	421	2	,	,	PUNCT
easat-3717	421	3	pp	pp	PROPN
easat-3717	421	4	.	.	PUNCT
easat-3717	422	1	14533–14549	14533–14549	NUM
easat-3717	422	2	,	,	PUNCT
easat-3717	422	3	2023	2023	NUM
easat-3717	422	4	,	,	PUNCT
easat-3717	422	5	doi	doi	NOUN
easat-3717	422	6	:	:	PUNCT
easat-3717	422	7	10.1109	10.1109	NUM
easat-3717	422	8	/	/	SYM
easat-3717	422	9	access.2023.3242861	access.2023.3242861	PROPN
easat-3717	422	10	.	.	PUNCT
easat-3717	423	1	[	[	X
easat-3717	423	2	17	17	NUM
easat-3717	423	3	]	]	X
easat-3717	423	4	y.	y.	PROPN
easat-3717	423	5	luo	luo	PROPN
easat-3717	423	6	,	,	PUNCT
easat-3717	423	7	y.	y.	PROPN
easat-3717	423	8	zhang	zhang	PROPN
easat-3717	423	9	,	,	PUNCT
easat-3717	423	10	x.	x.	PROPN
easat-3717	423	11	cai	cai	PROPN
easat-3717	423	12	,	,	PUNCT
easat-3717	423	13	and	and	CCONJ
easat-3717	423	14	x.	x.	NOUN
easat-3717	423	15	yuan	yuan	PROPN
easat-3717	423	16	,	,	PUNCT
easat-3717	423	17	“	"	PUNCT
easat-3717	423	18	e2gan	e2gan	PROPN
easat-3717	423	19	:	:	PUNCT
easat-3717	423	20	end	end	NOUN
easat-3717	423	21	-	-	PUNCT
easat-3717	423	22	to	to	ADP
easat-3717	423	23	-	-	PUNCT
easat-3717	423	24	end	end	NOUN
easat-3717	423	25	generative	generative	ADJ
easat-3717	423	26	adversarial	adversarial	ADJ
easat-3717	423	27	network	network	NOUN
easat-3717	423	28	for	for	ADP
easat-3717	423	29	multivariate	multivariate	NOUN
easat-3717	423	30	time	time	NOUN
easat-3717	423	31	series	series	NOUN
easat-3717	423	32	imputation	imputation	NOUN
easat-3717	423	33	,	,	PUNCT
easat-3717	423	34	”	"	PUNCT
easat-3717	423	35	in	in	ADP
easat-3717	423	36	ijcai	ijcai	PROPN
easat-3717	423	37	international	international	ADJ
easat-3717	423	38	joint	joint	ADJ
easat-3717	423	39	conference	conference	NOUN
easat-3717	423	40	on	on	ADP
easat-3717	423	41	artificial	artificial	ADJ
easat-3717	423	42	intelligence	intelligence	NOUN
easat-3717	423	43	,	,	PUNCT
easat-3717	423	44	2019	2019	NUM
easat-3717	423	45	,	,	PUNCT
easat-3717	423	46	vol	vol	NOUN
easat-3717	423	47	.	.	PROPN
easat-3717	423	48	2019	2019	NUM
easat-3717	423	49	-	-	PUNCT
easat-3717	423	50	augus	augus	PROPN
easat-3717	423	51	,	,	PUNCT
easat-3717	423	52	pp	pp	X
easat-3717	423	53	.	.	PUNCT
easat-3717	424	1	3094–3100	3094–3100	NUM
easat-3717	424	2	.	.	PUNCT
easat-3717	425	1	doi	doi	NOUN
easat-3717	425	2	:	:	PUNCT
easat-3717	425	3	10.24963	10.24963	NUM
easat-3717	425	4	/	/	SYM
easat-3717	425	5	ijcai.2019/429	ijcai.2019/429	NOUN
easat-3717	425	6	.	.	PUNCT
easat-3717	426	1	[	[	X
easat-3717	426	2	18	18	NUM
easat-3717	426	3	]	]	X
easat-3717	426	4	r.	r.	PROPN
easat-3717	426	5	wan	wan	PROPN
easat-3717	426	6	,	,	PUNCT
easat-3717	426	7	s.	s.	PROPN
easat-3717	426	8	mei	mei	PROPN
easat-3717	426	9	,	,	PUNCT
easat-3717	426	10	j.	j.	PROPN
easat-3717	426	11	wang	wang	PROPN
easat-3717	426	12	,	,	PUNCT
easat-3717	426	13	m.	m.	PROPN
easat-3717	426	14	liu	liu	PROPN
easat-3717	426	15	,	,	PUNCT
easat-3717	426	16	and	and	CCONJ
easat-3717	426	17	f.	f.	PROPN
easat-3717	426	18	yang	yang	PROPN
easat-3717	426	19	,	,	PUNCT
easat-3717	426	20	“	"	PUNCT
easat-3717	426	21	multivariate	multivariate	VERB
easat-3717	426	22	temporal	temporal	ADJ
easat-3717	426	23	convolutional	convolutional	ADJ
easat-3717	426	24	network	network	NOUN
easat-3717	426	25	:	:	PUNCT
easat-3717	426	26	a	a	DET
easat-3717	426	27	deep	deep	ADJ
easat-3717	426	28	neural	neural	ADJ
easat-3717	426	29	networks	network	NOUN
easat-3717	426	30	approach	approach	NOUN
easat-3717	426	31	for	for	ADP
easat-3717	426	32	multivariate	multivariate	NOUN
easat-3717	426	33	time	time	NOUN
easat-3717	426	34	series	series	PROPN
easat-3717	426	35	forecasting	forecasting	NOUN
easat-3717	426	36	,	,	PUNCT
easat-3717	426	37	”	"	PUNCT
easat-3717	426	38	electron	electron	NOUN
easat-3717	426	39	.	.	PUNCT
easat-3717	426	40	,	,	PUNCT
easat-3717	426	41	vol	vol	NOUN
easat-3717	426	42	.	.	PROPN
easat-3717	426	43	8	8	NUM
easat-3717	426	44	,	,	PUNCT
easat-3717	426	45	no	no	INTJ
easat-3717	426	46	.	.	NOUN
easat-3717	426	47	8	8	NUM
easat-3717	426	48	,	,	PUNCT
easat-3717	426	49	2019	2019	NUM
easat-3717	426	50	,	,	PUNCT
easat-3717	426	51	doi	doi	NOUN
easat-3717	426	52	:	:	PUNCT
easat-3717	426	53	10.3390	10.3390	NUM
easat-3717	426	54	/	/	SYM
easat-3717	426	55	electronics8080876	electronics8080876	NOUN
easat-3717	426	56	.	.	PUNCT
easat-3717	427	1	[	[	X
easat-3717	427	2	19	19	NUM
easat-3717	427	3	]	]	PUNCT
easat-3717	427	4	m.	m.	NOUN
easat-3717	427	5	a.	a.	PROPN
easat-3717	427	6	castán	castán	PROPN
easat-3717	427	7	-	-	PUNCT
easat-3717	427	8	lascorz	lascorz	ADJ
easat-3717	427	9	,	,	PUNCT
easat-3717	427	10	p.	p.	PROPN
easat-3717	427	11	jiménez	jiménez	PROPN
easat-3717	427	12	-	-	PUNCT
easat-3717	427	13	herrera	herrera	PROPN
easat-3717	427	14	,	,	PUNCT
easat-3717	427	15	a.	a.	NOUN
easat-3717	427	16	troncoso	troncoso	NOUN
easat-3717	427	17	,	,	PUNCT
easat-3717	427	18	and	and	CCONJ
easat-3717	427	19	g.	g.	PROPN
easat-3717	427	20	asencio	asencio	PROPN
easat-3717	427	21	-	-	PUNCT
easat-3717	427	22	cortés	cortés	NOUN
easat-3717	427	23	,	,	PUNCT
easat-3717	427	24	“	"	PUNCT
easat-3717	427	25	a	a	DET
easat-3717	427	26	new	new	ADJ
easat-3717	427	27	hybrid	hybrid	NOUN
easat-3717	427	28	method	method	NOUN
easat-3717	427	29	for	for	ADP
easat-3717	427	30	predicting	predict	VERB
easat-3717	427	31	univariate	univariate	ADJ
easat-3717	427	32	and	and	CCONJ
easat-3717	427	33	multivariate	multivariate	NOUN
easat-3717	427	34	time	time	NOUN
easat-3717	427	35	series	series	NOUN
easat-3717	427	36	based	base	VERB
easat-3717	427	37	on	on	ADP
easat-3717	427	38	pattern	pattern	NOUN
easat-3717	427	39	forecasting	forecasting	NOUN
easat-3717	427	40	,	,	PUNCT
easat-3717	427	41	”	"	PUNCT
easat-3717	427	42	inf	inf	NOUN
easat-3717	427	43	.	.	PUNCT
easat-3717	428	1	sci	sci	PROPN
easat-3717	428	2	.	.	PUNCT
easat-3717	428	3	(	(	PUNCT
easat-3717	428	4	ny	ny	NOUN
easat-3717	428	5	)	)	PUNCT
easat-3717	428	6	.	.	PUNCT
easat-3717	428	7	,	,	PUNCT
easat-3717	428	8	vol	vol	NOUN
easat-3717	428	9	.	.	PUNCT
easat-3717	429	1	586	586	NUM
easat-3717	429	2	,	,	PUNCT
easat-3717	429	3	pp	pp	ADJ
easat-3717	429	4	.	.	PUNCT
easat-3717	430	1	611–627	611–627	NUM
easat-3717	430	2	,	,	PUNCT
easat-3717	430	3	2022	2022	NUM
easat-3717	430	4	,	,	PUNCT
easat-3717	430	5	doi	doi	NOUN
easat-3717	430	6	:	:	PUNCT
easat-3717	430	7	https://doi.org/10.1016/j.ins.2021.12.001	https://doi.org/10.1016/j.ins.2021.12.001	X
easat-3717	430	8	.	.	PUNCT
easat-3717	431	1	[	[	X
easat-3717	431	2	20	20	NUM
easat-3717	431	3	]	]	X
easat-3717	431	4	y.	y.	PROPN
easat-3717	431	5	yang	yang	PROPN
easat-3717	431	6	,	,	PUNCT
easat-3717	431	7	h.	h.	PROPN
easat-3717	431	8	lv	lv	PROPN
easat-3717	431	9	,	,	PUNCT
easat-3717	431	10	and	and	CCONJ
easat-3717	431	11	n.	n.	PROPN
easat-3717	431	12	chen	chen	PROPN
easat-3717	431	13	,	,	PUNCT
easat-3717	431	14	“	"	PUNCT
easat-3717	431	15	a	a	DET
easat-3717	431	16	survey	survey	NOUN
easat-3717	431	17	on	on	ADP
easat-3717	431	18	ensemble	ensemble	ADJ
easat-3717	431	19	learning	learning	NOUN
easat-3717	431	20	under	under	ADP
easat-3717	431	21	the	the	DET
easat-3717	431	22	era	era	NOUN
easat-3717	431	23	of	of	ADP
easat-3717	431	24	deep	deep	ADJ
easat-3717	431	25	learning	learning	NOUN
easat-3717	431	26	,	,	PUNCT
easat-3717	431	27	”	"	PUNCT
easat-3717	431	28	artif	artif	NOUN
easat-3717	431	29	.	.	PUNCT
easat-3717	432	1	intell	intell	PROPN
easat-3717	432	2	.	.	PUNCT
easat-3717	433	1	rev	rev	PROPN
easat-3717	433	2	.	.	PROPN
easat-3717	433	3	,	,	PUNCT
easat-3717	433	4	vol	vol	NOUN
easat-3717	433	5	.	.	PROPN
easat-3717	434	1	56	56	NUM
easat-3717	434	2	,	,	PUNCT
easat-3717	434	3	no	no	INTJ
easat-3717	434	4	.	.	NOUN
easat-3717	434	5	6	6	NUM
easat-3717	434	6	,	,	PUNCT
easat-3717	434	7	pp	pp	ADJ
easat-3717	434	8	.	.	PUNCT
easat-3717	434	9	5545–5589	5545–5589	NUM
easat-3717	434	10	,	,	PUNCT
easat-3717	434	11	2023	2023	NUM
easat-3717	434	12	,	,	PUNCT
easat-3717	434	13	doi	doi	NOUN
easat-3717	434	14	:	:	PUNCT
easat-3717	434	15	10.1007	10.1007	NUM
easat-3717	434	16	/	/	SYM
easat-3717	434	17	s10462	s10462	NOUN
easat-3717	434	18	-	-	PUNCT
easat-3717	434	19	022	022	NUM
easat-3717	434	20	-	-	PUNCT
easat-3717	434	21	10283	10283	NUM
easat-3717	434	22	-	-	SYM
easat-3717	434	23	5	5	NUM
easat-3717	434	24	.	.	PUNCT
easat-3717	435	1	[	[	X
easat-3717	435	2	21	21	NUM
easat-3717	435	3	]	]	X
easat-3717	435	4	s.	s.	PROPN
easat-3717	435	5	sholla	sholla	PROPN
easat-3717	435	6	,	,	PUNCT
easat-3717	435	7	s.	s.	PROPN
easat-3717	435	8	kaur	kaur	PROPN
easat-3717	435	9	,	,	PUNCT
easat-3717	435	10	g.	g.	PROPN
easat-3717	435	11	r.	r.	PROPN
easat-3717	435	12	begh	begh	PROPN
easat-3717	435	13	,	,	PUNCT
easat-3717	435	14	r.	r.	PROPN
easat-3717	435	15	n.	n.	PROPN
easat-3717	435	16	mir	mir	PROPN
easat-3717	435	17	,	,	PUNCT
easat-3717	435	18	and	and	CCONJ
easat-3717	435	19	m.	m.	NOUN
easat-3717	435	20	a.	a.	PROPN
easat-3717	435	21	chishti	chishti	PROPN
easat-3717	435	22	,	,	PUNCT
easat-3717	435	23	“	"	PUNCT
easat-3717	435	24	clustering	cluster	VERB
easat-3717	435	25	internet	internet	NOUN
easat-3717	435	26	of	of	ADP
easat-3717	435	27	things	thing	NOUN
easat-3717	435	28	:	:	PUNCT
easat-3717	435	29	a	a	DET
easat-3717	435	30	review	review	NOUN
easat-3717	435	31	,	,	PUNCT
easat-3717	435	32	”	"	PUNCT
easat-3717	435	33	j.	j.	PROPN
easat-3717	435	34	sci	sci	PROPN
easat-3717	435	35	.	.	PROPN
easat-3717	436	1	technol	technol	PROPN
easat-3717	436	2	.	.	PROPN
easat-3717	436	3	issue	issue	PROPN
easat-3717	436	4	inf	inf	PROPN
easat-3717	436	5	.	.	PUNCT
easat-3717	437	1	commun	commun	PROPN
easat-3717	437	2	.	.	PUNCT
easat-3717	438	1	technol	technol	PROPN
easat-3717	438	2	.	.	PROPN
easat-3717	438	3	,	,	PUNCT
easat-3717	438	4	vol	vol	NOUN
easat-3717	438	5	.	.	PROPN
easat-3717	439	1	3	3	NUM
easat-3717	439	2	,	,	PUNCT
easat-3717	439	3	no	no	INTJ
easat-3717	439	4	.	.	NOUN
easat-3717	439	5	2	2	NUM
easat-3717	439	6	,	,	PUNCT
easat-3717	439	7	p.	p.	NOUN
easat-3717	439	8	21	21	NUM
easat-3717	439	9	,	,	PUNCT
easat-3717	439	10	2017	2017	NUM
easat-3717	439	11	,	,	PUNCT
easat-3717	439	12	doi	doi	NOUN
easat-3717	439	13	:	:	PUNCT
easat-3717	439	14	10.31130	10.31130	NUM
easat-3717	439	15	/	/	SYM
easat-3717	439	16	jst.2017.61	jst.2017.61	NOUN
easat-3717	439	17	.	.	PUNCT
easat-3717	440	1	[	[	X
easat-3717	440	2	22	22	NUM
easat-3717	440	3	]	]	PUNCT
easat-3717	440	4	s.	s.	PROPN
easat-3717	440	5	sreenivasamurthy	sreenivasamurthy	PROPN
easat-3717	440	6	and	and	CCONJ
easat-3717	440	7	k.	k.	PROPN
easat-3717	440	8	obraczka	obraczka	PROPN
easat-3717	440	9	,	,	PUNCT
easat-3717	440	10	“	"	PUNCT
easat-3717	440	11	clustering	cluster	VERB
easat-3717	440	12	for	for	ADP
easat-3717	440	13	load	load	NOUN
easat-3717	440	14	balancing	balancing	NOUN
easat-3717	440	15	and	and	CCONJ
easat-3717	440	16	energy	energy	NOUN
easat-3717	440	17	efficiency	efficiency	NOUN
easat-3717	440	18	in	in	ADP
easat-3717	440	19	iot	iot	ADJ
easat-3717	440	20	applications	application	NOUN
easat-3717	440	21	,	,	PUNCT
easat-3717	440	22	”	"	PUNCT
easat-3717	440	23	proc	proc	NOUN
easat-3717	440	24	.	.	PUNCT
easat-3717	441	1	26th	26th	ADJ
easat-3717	441	2	ieee	ieee	NOUN
easat-3717	441	3	int	int	NOUN
easat-3717	441	4	.	.	PUNCT
easat-3717	442	1	symp	symp	PROPN
easat-3717	442	2	.	.	PUNCT
easat-3717	443	1	model	model	PROPN
easat-3717	443	2	.	.	PUNCT
easat-3717	444	1	anal	anal	PROPN
easat-3717	444	2	.	.	PUNCT
easat-3717	445	1	simul	simul	PROPN
easat-3717	445	2	.	.	PUNCT
easat-3717	446	1	comput	comput	PROPN
easat-3717	446	2	.	.	PUNCT
easat-3717	447	1	telecommun	telecommun	PROPN
easat-3717	447	2	.	.	PUNCT
easat-3717	448	1	syst	syst	PROPN
easat-3717	448	2	.	.	PUNCT
easat-3717	449	1	mascots	mascot	NOUN
easat-3717	449	2	2018	2018	NUM
easat-3717	449	3	,	,	PUNCT
easat-3717	449	4	no	no	INTJ
easat-3717	449	5	.	.	PUNCT
easat-3717	450	1	march	march	PROPN
easat-3717	450	2	,	,	PUNCT
easat-3717	450	3	pp	pp	ADP
easat-3717	450	4	.	.	PUNCT
easat-3717	451	1	319–332	319–332	NUM
easat-3717	451	2	,	,	PUNCT
easat-3717	451	3	2018	2018	NUM
easat-3717	451	4	,	,	PUNCT
easat-3717	451	5	doi	doi	NOUN
easat-3717	451	6	:	:	PUNCT
easat-3717	451	7	10.1109	10.1109	NUM
easat-3717	451	8	/	/	SYM
easat-3717	451	9	mascots.2018.00038	mascots.2018.00038	PROPN
easat-3717	451	10	.	.	PUNCT