id	sid	tid	token	lemma	pos
easat-3415	1	1	edelweiss	edelweiss	PROPN
easat-3415	1	2	applied	apply	VERB
easat-3415	1	3	science	science	NOUN
easat-3415	1	4	and	and	CCONJ
easat-3415	1	5	technology	technology	NOUN
easat-3415	1	6	issn	issn	PROPN
easat-3415	1	7	:	:	PUNCT
easat-3415	1	8	2576	2576	NUM
easat-3415	1	9	-	-	SYM
easat-3415	1	10	8484	8484	NUM
easat-3415	1	11	vol	vol	NOUN
easat-3415	1	12	.	.	PROPN
easat-3415	1	13	8	8	NUM
easat-3415	1	14	,	,	PUNCT
easat-3415	1	15	no	no	INTJ
easat-3415	1	16	.	.	NOUN
easat-3415	1	17	6	6	NUM
easat-3415	1	18	,	,	PUNCT
easat-3415	1	19	6625	6625	NUM
easat-3415	1	20	-	-	SYM
easat-3415	1	21	6643	6643	NUM
easat-3415	1	22	2024	2024	NUM
easat-3415	1	23	publisher	publisher	NOUN
easat-3415	1	24	:	:	PUNCT
easat-3415	1	25	learning	learn	VERB
easat-3415	1	26	gate	gate	NOUN
easat-3415	1	27	doi	doi	PROPN
easat-3415	1	28	:	:	PUNCT
easat-3415	1	29	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	1	30	©	©	PROPN
easat-3415	1	31	2024	2024	NUM
easat-3415	1	32	by	by	ADP
easat-3415	1	33	the	the	DET
easat-3415	1	34	authors	author	NOUN
easat-3415	1	35	;	;	PUNCT
easat-3415	1	36	licensee	licensee	PROPN
easat-3415	1	37	learning	learning	NOUN
easat-3415	1	38	gate	gate	NOUN
easat-3415	1	39	©	©	PROPN
easat-3415	1	40	2024	2024	NUM
easat-3415	1	41	by	by	ADP
easat-3415	1	42	the	the	DET
easat-3415	1	43	authors	author	NOUN
easat-3415	1	44	;	;	PUNCT
easat-3415	1	45	licensee	licensee	PROPN
easat-3415	1	46	learning	learn	VERB
easat-3415	1	47	gate	gate	NOUN
easat-3415	1	48	*	*	PUNCT
easat-3415	1	49	correspondence	correspondence	NOUN
easat-3415	1	50	:	:	PUNCT
easat-3415	1	51	nawejmc@tut.ac.za	nawejmc@tut.ac.za	PROPN
easat-3415	1	52	clustered	clustered	ADJ
easat-3415	1	53	temporal	temporal	ADJ
easat-3415	1	54	memory	memory	NOUN
easat-3415	1	55	networks	network	NOUN
easat-3415	1	56	:	:	PUNCT
easat-3415	1	57	a	a	DET
easat-3415	1	58	hybrid	hybrid	ADJ
easat-3415	1	59	approach	approach	NOUN
easat-3415	1	60	for	for	ADP
easat-3415	1	61	signal	signal	NOUN
easat-3415	1	62	strength	strength	NOUN
easat-3415	1	63	prediction	prediction	NOUN
easat-3415	1	64	claude	claude	PROPN
easat-3415	1	65	mukatshung	mukatshung	PROPN
easat-3415	1	66	nawej1	nawej1	PROPN
easat-3415	1	67	*	*	PROPN
easat-3415	1	68	,	,	PUNCT
easat-3415	1	69	pius	pius	PROPN
easat-3415	1	70	adewale	adewale	PROPN
easat-3415	1	71	owolawi2	owolawi2	PROPN
easat-3415	1	72	,	,	PUNCT
easat-3415	1	73	tom	tom	PROPN
easat-3415	1	74	walingo3	walingo3	PROPN
easat-3415	1	75	1,2department	1,2department	NUM
easat-3415	1	76	of	of	ADP
easat-3415	1	77	computer	computer	NOUN
easat-3415	1	78	systems	system	NOUN
easat-3415	1	79	engineering	engineering	NOUN
easat-3415	1	80	tshwane	tshwane	NOUN
easat-3415	1	81	university	university	PROPN
easat-3415	1	82	of	of	ADP
easat-3415	1	83	technology	technology	PROPN
easat-3415	1	84	pretoria	pretoria	PROPN
easat-3415	1	85	,	,	PUNCT
easat-3415	1	86	south	south	PROPN
easat-3415	1	87	africa	africa	PROPN
easat-3415	1	88	;	;	PUNCT
easat-3415	1	89	nawejmc@tut.ac.za	nawejmc@tut.ac.za	PROPN
easat-3415	1	90	(	(	PUNCT
easat-3415	1	91	c.m.n	c.m.n	NOUN
easat-3415	1	92	.	.	PUNCT
easat-3415	1	93	)	)	PUNCT
easat-3415	2	1	owolawipa@tut.ac.za	owolawipa@tut.ac.za	ADJ
easat-3415	2	2	(	(	PUNCT
easat-3415	2	3	p.a.o	p.a.o	NOUN
easat-3415	2	4	)	)	PUNCT
easat-3415	2	5	3department	3department	NUM
easat-3415	2	6	of	of	ADP
easat-3415	2	7	electrical	electrical	ADJ
easat-3415	2	8	,	,	PUNCT
easat-3415	2	9	electronics	electronic	NOUN
easat-3415	2	10	,	,	PUNCT
easat-3415	2	11	and	and	CCONJ
easat-3415	2	12	computer	computer	NOUN
easat-3415	2	13	engineering	engineering	PROPN
easat-3415	2	14	university	university	PROPN
easat-3415	2	15	of	of	ADP
easat-3415	2	16	kwa	kwa	PROPN
easat-3415	2	17	-	-	PUNCT
easat-3415	2	18	zulu	zulu	PROPN
easat-3415	2	19	natal	natal	NOUN
easat-3415	2	20	durban	durban	PROPN
easat-3415	2	21	,	,	PUNCT
easat-3415	2	22	south	south	PROPN
easat-3415	2	23	africa	africa	PROPN
easat-3415	2	24	;	;	PUNCT
easat-3415	2	25	walingo@ukzn.ac.za	walingo@ukzn.ac.za	PROPN
easat-3415	2	26	(	(	PUNCT
easat-3415	2	27	t.w	t.w	PROPN
easat-3415	2	28	.	.	PROPN
easat-3415	2	29	)	)	PUNCT
easat-3415	2	30	.	.	PUNCT
easat-3415	3	1	abstract	abstract	ADV
easat-3415	3	2	:	:	PUNCT
easat-3415	3	3	the	the	DET
easat-3415	3	4	rapid	rapid	ADJ
easat-3415	3	5	expansion	expansion	NOUN
easat-3415	3	6	of	of	ADP
easat-3415	3	7	5	5	NUM
easat-3415	3	8	g	g	NOUN
easat-3415	3	9	networks	network	NOUN
easat-3415	3	10	has	have	AUX
easat-3415	3	11	revolutionized	revolutionize	VERB
easat-3415	3	12	mobile	mobile	ADJ
easat-3415	3	13	communication	communication	NOUN
easat-3415	3	14	by	by	ADP
easat-3415	3	15	offering	offer	VERB
easat-3415	3	16	unprecedented	unprecedented	ADJ
easat-3415	3	17	speed	speed	NOUN
easat-3415	3	18	,	,	PUNCT
easat-3415	3	19	low	low	ADJ
easat-3415	3	20	-	-	PUNCT
easat-3415	3	21	latency	latency	NOUN
easat-3415	3	22	connections	connection	NOUN
easat-3415	3	23	,	,	PUNCT
easat-3415	3	24	and	and	CCONJ
easat-3415	3	25	the	the	DET
easat-3415	3	26	ability	ability	NOUN
easat-3415	3	27	to	to	PART
easat-3415	3	28	support	support	VERB
easat-3415	3	29	vast	vast	ADJ
easat-3415	3	30	numbers	number	NOUN
easat-3415	3	31	of	of	ADP
easat-3415	3	32	connected	connected	ADJ
easat-3415	3	33	devices	device	NOUN
easat-3415	3	34	.	.	PUNCT
easat-3415	4	1	however	however	ADV
easat-3415	4	2	,	,	PUNCT
easat-3415	4	3	these	these	DET
easat-3415	4	4	advancements	advancement	NOUN
easat-3415	4	5	bring	bring	VERB
easat-3415	4	6	new	new	ADJ
easat-3415	4	7	challenges	challenge	NOUN
easat-3415	4	8	in	in	ADP
easat-3415	4	9	maintaining	maintain	VERB
easat-3415	4	10	consistent	consistent	ADJ
easat-3415	4	11	and	and	CCONJ
easat-3415	4	12	reliable	reliable	ADJ
easat-3415	4	13	signal	signal	NOUN
easat-3415	4	14	strength	strength	NOUN
easat-3415	4	15	,	,	PUNCT
easat-3415	4	16	critical	critical	ADJ
easat-3415	4	17	for	for	ADP
easat-3415	4	18	ensuring	ensure	VERB
easat-3415	4	19	optimal	optimal	ADJ
easat-3415	4	20	quality	quality	NOUN
easat-3415	4	21	of	of	ADP
easat-3415	4	22	service	service	NOUN
easat-3415	4	23	(	(	PUNCT
easat-3415	4	24	qos	qos	PROPN
easat-3415	4	25	)	)	PUNCT
easat-3415	4	26	.	.	PUNCT
easat-3415	5	1	traditional	traditional	ADJ
easat-3415	5	2	models	model	NOUN
easat-3415	5	3	,	,	PUNCT
easat-3415	5	4	such	such	ADJ
easat-3415	5	5	as	as	ADP
easat-3415	5	6	arima	arima	NOUN
easat-3415	5	7	,	,	PUNCT
easat-3415	5	8	random	random	ADJ
easat-3415	5	9	forest	forest	NOUN
easat-3415	5	10	(	(	PUNCT
easat-3415	5	11	rf	rf	NOUN
easat-3415	5	12	)	)	PUNCT
easat-3415	5	13	,	,	PUNCT
easat-3415	5	14	and	and	CCONJ
easat-3415	5	15	k	k	X
easat-3415	5	16	-	-	PUNCT
easat-3415	5	17	means	mean	VERB
easat-3415	5	18	clustering	clustering	NOUN
easat-3415	5	19	,	,	PUNCT
easat-3415	5	20	struggle	struggle	VERB
easat-3415	5	21	to	to	PART
easat-3415	5	22	capture	capture	VERB
easat-3415	5	23	the	the	DET
easat-3415	5	24	complex	complex	ADJ
easat-3415	5	25	,	,	PUNCT
easat-3415	5	26	nonlinear	nonlinear	ADJ
easat-3415	5	27	,	,	PUNCT
easat-3415	5	28	and	and	CCONJ
easat-3415	5	29	dynamic	dynamic	ADJ
easat-3415	5	30	behaviour	behaviour	NOUN
easat-3415	5	31	of	of	ADP
easat-3415	5	32	5	5	NUM
easat-3415	5	33	g	g	NOUN
easat-3415	5	34	networks	network	NOUN
easat-3415	5	35	,	,	PUNCT
easat-3415	5	36	leading	lead	VERB
easat-3415	5	37	to	to	ADP
easat-3415	5	38	suboptimal	suboptimal	ADJ
easat-3415	5	39	prediction	prediction	NOUN
easat-3415	5	40	accuracy	accuracy	NOUN
easat-3415	5	41	.	.	PUNCT
easat-3415	6	1	in	in	ADP
easat-3415	6	2	this	this	DET
easat-3415	6	3	study	study	NOUN
easat-3415	6	4	,	,	PUNCT
easat-3415	6	5	we	we	PRON
easat-3415	6	6	propose	propose	VERB
easat-3415	6	7	a	a	DET
easat-3415	6	8	novel	novel	ADJ
easat-3415	6	9	hybrid	hybrid	NOUN
easat-3415	6	10	model	model	NOUN
easat-3415	6	11	,	,	PUNCT
easat-3415	6	12	clustered	clustered	ADJ
easat-3415	6	13	temporal	temporal	ADJ
easat-3415	6	14	memory	memory	NOUN
easat-3415	6	15	networks	network	NOUN
easat-3415	6	16	(	(	PUNCT
easat-3415	6	17	ctmn	ctmn	NOUN
easat-3415	6	18	)	)	PUNCT
easat-3415	6	19	,	,	PUNCT
easat-3415	6	20	which	which	DET
easat-3415	6	21	integrates	integrate	NOUN
easat-3415	6	22	dbscan	dbscan	NOUN
easat-3415	6	23	clustering	cluster	VERB
easat-3415	6	24	with	with	ADP
easat-3415	6	25	long	long	ADJ
easat-3415	6	26	short	short	ADJ
easat-3415	6	27	-	-	PUNCT
easat-3415	6	28	term	term	NOUN
easat-3415	6	29	memory	memory	NOUN
easat-3415	6	30	(	(	PUNCT
easat-3415	6	31	lstm	lstm	NOUN
easat-3415	6	32	)	)	PUNCT
easat-3415	6	33	networks	network	NOUN
easat-3415	6	34	to	to	PART
easat-3415	6	35	improve	improve	VERB
easat-3415	6	36	signal	signal	NOUN
easat-3415	6	37	strength	strength	NOUN
easat-3415	6	38	prediction	prediction	NOUN
easat-3415	6	39	in	in	ADP
easat-3415	6	40	mobile	mobile	ADJ
easat-3415	6	41	networks	network	NOUN
easat-3415	6	42	.	.	PUNCT
easat-3415	7	1	the	the	DET
easat-3415	7	2	ctmn	ctmn	NOUN
easat-3415	7	3	model	model	NOUN
easat-3415	7	4	combines	combine	VERB
easat-3415	7	5	dbscan	dbscan	NOUN
easat-3415	7	6	's	's	PART
easat-3415	7	7	ability	ability	NOUN
easat-3415	7	8	to	to	PART
easat-3415	7	9	handle	handle	VERB
easat-3415	7	10	spatial	spatial	ADJ
easat-3415	7	11	variability	variability	NOUN
easat-3415	7	12	and	and	CCONJ
easat-3415	7	13	outliers	outlier	NOUN
easat-3415	7	14	in	in	ADP
easat-3415	7	15	5	5	NUM
easat-3415	7	16	g	g	NOUN
easat-3415	7	17	data	datum	NOUN
easat-3415	7	18	,	,	PUNCT
easat-3415	7	19	combined	combine	VERB
easat-3415	7	20	with	with	ADP
easat-3415	7	21	lstm	lstm	PROPN
easat-3415	7	22	's	's	PART
easat-3415	7	23	capacity	capacity	NOUN
easat-3415	7	24	for	for	ADP
easat-3415	7	25	modelling	model	VERB
easat-3415	7	26	long	long	ADJ
easat-3415	7	27	-	-	PUNCT
easat-3415	7	28	term	term	NOUN
easat-3415	7	29	dependencies	dependency	NOUN
easat-3415	7	30	and	and	CCONJ
easat-3415	7	31	nonlinear	nonlinear	ADJ
easat-3415	7	32	time	time	NOUN
easat-3415	7	33	-	-	PUNCT
easat-3415	7	34	series	series	NOUN
easat-3415	7	35	patterns	pattern	NOUN
easat-3415	7	36	.	.	PUNCT
easat-3415	8	1	our	our	PRON
easat-3415	8	2	empirical	empirical	ADJ
easat-3415	8	3	analysis	analysis	NOUN
easat-3415	8	4	demonstrates	demonstrate	VERB
easat-3415	8	5	that	that	SCONJ
easat-3415	8	6	ctmn	ctmn	NOUN
easat-3415	8	7	outperforms	outperform	VERB
easat-3415	8	8	traditional	traditional	ADJ
easat-3415	8	9	methods	method	NOUN
easat-3415	8	10	,	,	PUNCT
easat-3415	8	11	achieving	achieve	VERB
easat-3415	8	12	up	up	ADP
easat-3415	8	13	to	to	ADP
easat-3415	8	14	a	a	DET
easat-3415	8	15	20.82	20.82	NUM
easat-3415	8	16	%	%	NOUN
easat-3415	8	17	improvement	improvement	NOUN
easat-3415	8	18	in	in	ADP
easat-3415	8	19	prediction	prediction	NOUN
easat-3415	8	20	accuracy	accuracy	NOUN
easat-3415	8	21	across	across	ADP
easat-3415	8	22	key	key	ADJ
easat-3415	8	23	performance	performance	NOUN
easat-3415	8	24	metrics	metric	NOUN
easat-3415	8	25	,	,	PUNCT
easat-3415	8	26	including	include	VERB
easat-3415	8	27	mean	mean	ADJ
easat-3415	8	28	absolute	absolute	ADJ
easat-3415	8	29	error	error	NOUN
easat-3415	8	30	(	(	PUNCT
easat-3415	8	31	mae	mae	PROPN
easat-3415	8	32	)	)	PUNCT
easat-3415	8	33	,	,	PUNCT
easat-3415	8	34	mean	mean	VERB
easat-3415	8	35	squared	square	VERB
easat-3415	8	36	error	error	NOUN
easat-3415	8	37	(	(	PUNCT
easat-3415	8	38	mse	mse	NOUN
easat-3415	8	39	)	)	PUNCT
easat-3415	8	40	,	,	PUNCT
easat-3415	8	41	and	and	CCONJ
easat-3415	8	42	root	root	NOUN
easat-3415	8	43	mean	mean	VERB
easat-3415	8	44	squared	square	VERB
easat-3415	8	45	error	error	NOUN
easat-3415	8	46	(	(	PUNCT
easat-3415	8	47	rmse	rmse	NOUN
easat-3415	8	48	)	)	PUNCT
easat-3415	8	49	.	.	PUNCT
easat-3415	9	1	these	these	DET
easat-3415	9	2	findings	finding	NOUN
easat-3415	9	3	indicate	indicate	VERB
easat-3415	9	4	that	that	DET
easat-3415	9	5	ctmn	ctmn	NOUN
easat-3415	9	6	provides	provide	VERB
easat-3415	9	7	a	a	DET
easat-3415	9	8	scalable	scalable	ADJ
easat-3415	9	9	,	,	PUNCT
easat-3415	9	10	robust	robust	ADJ
easat-3415	9	11	solution	solution	NOUN
easat-3415	9	12	for	for	ADP
easat-3415	9	13	enhancing	enhance	VERB
easat-3415	9	14	signal	signal	NOUN
easat-3415	9	15	strength	strength	NOUN
easat-3415	9	16	prediction	prediction	NOUN
easat-3415	9	17	and	and	CCONJ
easat-3415	9	18	optimizing	optimize	VERB
easat-3415	9	19	network	network	NOUN
easat-3415	9	20	performance	performance	NOUN
easat-3415	9	21	in	in	ADP
easat-3415	9	22	next	next	ADJ
easat-3415	9	23	-	-	PUNCT
easat-3415	9	24	generation	generation	NOUN
easat-3415	9	25	mobile	mobile	ADJ
easat-3415	9	26	networks	network	NOUN
easat-3415	9	27	.	.	PUNCT
easat-3415	10	1	keywords	keyword	NOUN
easat-3415	10	2	:	:	PUNCT
easat-3415	10	3	clustering	cluster	VERB
easat-3415	10	4	,	,	PUNCT
easat-3415	10	5	hybrid	hybrid	ADJ
easat-3415	10	6	techniques	technique	NOUN
easat-3415	10	7	,	,	PUNCT
easat-3415	10	8	mobile	mobile	ADJ
easat-3415	10	9	networks	network	NOUN
easat-3415	10	10	,	,	PUNCT
easat-3415	10	11	prediction	prediction	NOUN
easat-3415	10	12	model	model	NOUN
easat-3415	10	13	,	,	PUNCT
easat-3415	10	14	time	time	NOUN
easat-3415	10	15	-	-	PUNCT
easat-3415	10	16	series	series	NOUN
easat-3415	10	17	analysis	analysis	NOUN
easat-3415	10	18	.	.	PUNCT
easat-3415	11	1	1	1	X
easat-3415	11	2	.	.	X
easat-3415	11	3	introduction	introduction	NOUN
easat-3415	11	4	the	the	DET
easat-3415	11	5	continuous	continuous	ADJ
easat-3415	11	6	evolution	evolution	NOUN
easat-3415	11	7	of	of	ADP
easat-3415	11	8	mobile	mobile	ADJ
easat-3415	11	9	networks	network	NOUN
easat-3415	11	10	has	have	AUX
easat-3415	11	11	driven	drive	VERB
easat-3415	11	12	significant	significant	ADJ
easat-3415	11	13	advancements	advancement	NOUN
easat-3415	11	14	in	in	ADP
easat-3415	11	15	global	global	ADJ
easat-3415	11	16	communication	communication	NOUN
easat-3415	11	17	and	and	CCONJ
easat-3415	11	18	connectivity	connectivity	NOUN
easat-3415	11	19	.	.	PUNCT
easat-3415	12	1	starting	start	VERB
easat-3415	12	2	with	with	ADP
easat-3415	12	3	the	the	DET
easat-3415	12	4	first	first	ADJ
easat-3415	12	5	-	-	PUNCT
easat-3415	12	6	generation	generation	NOUN
easat-3415	12	7	(	(	PUNCT
easat-3415	12	8	1	1	NUM
easat-3415	12	9	g	g	NOUN
easat-3415	12	10	)	)	PUNCT
easat-3415	12	11	networks	network	NOUN
easat-3415	12	12	and	and	CCONJ
easat-3415	12	13	progressing	progress	VERB
easat-3415	12	14	through	through	ADP
easat-3415	12	15	to	to	ADP
easat-3415	12	16	4	4	NUM
easat-3415	12	17	g	g	NOUN
easat-3415	12	18	,	,	PUNCT
easat-3415	12	19	each	each	DET
easat-3415	12	20	new	new	ADJ
easat-3415	12	21	generation	generation	NOUN
easat-3415	12	22	has	have	AUX
easat-3415	12	23	introduced	introduce	VERB
easat-3415	12	24	transformative	transformative	ADJ
easat-3415	12	25	improvements	improvement	NOUN
easat-3415	12	26	that	that	PRON
easat-3415	12	27	reshape	reshape	VERB
easat-3415	12	28	how	how	SCONJ
easat-3415	12	29	people	people	NOUN
easat-3415	12	30	interact	interact	VERB
easat-3415	12	31	with	with	ADP
easat-3415	12	32	information	information	NOUN
easat-3415	12	33	and	and	CCONJ
easat-3415	12	34	each	each	DET
easat-3415	12	35	other	other	ADJ
easat-3415	12	36	.	.	PUNCT
easat-3415	13	1	from	from	ADP
easat-3415	13	2	basic	basic	ADJ
easat-3415	13	3	voice	voice	NOUN
easat-3415	13	4	services	service	NOUN
easat-3415	13	5	in	in	ADP
easat-3415	13	6	1	1	NUM
easat-3415	13	7	g	g	NOUN
easat-3415	13	8	to	to	ADP
easat-3415	13	9	high	high	ADJ
easat-3415	13	10	-	-	PUNCT
easat-3415	13	11	speed	speed	NOUN
easat-3415	13	12	data	data	NOUN
easat-3415	13	13	transfer	transfer	NOUN
easat-3415	13	14	in	in	ADP
easat-3415	13	15	4	4	NUM
easat-3415	13	16	g	g	NOUN
easat-3415	13	17	,	,	PUNCT
easat-3415	13	18	mobile	mobile	ADJ
easat-3415	13	19	networks	network	NOUN
easat-3415	13	20	have	have	AUX
easat-3415	13	21	expanded	expand	VERB
easat-3415	13	22	their	their	PRON
easat-3415	13	23	capabilities	capability	NOUN
easat-3415	13	24	,	,	PUNCT
easat-3415	13	25	enabling	enable	VERB
easat-3415	13	26	a	a	DET
easat-3415	13	27	wide	wide	ADJ
easat-3415	13	28	range	range	NOUN
easat-3415	13	29	of	of	ADP
easat-3415	13	30	applications	application	NOUN
easat-3415	13	31	and	and	CCONJ
easat-3415	13	32	services	service	NOUN
easat-3415	13	33	.	.	PUNCT
easat-3415	14	1	the	the	DET
easat-3415	14	2	unveiling	unveiling	NOUN
easat-3415	14	3	of	of	ADP
easat-3415	14	4	fifth	fifth	ADJ
easat-3415	14	5	generation	generation	NOUN
easat-3415	14	6	(	(	PUNCT
easat-3415	14	7	5	5	NUM
easat-3415	14	8	g	g	NOUN
easat-3415	14	9	)	)	PUNCT
easat-3415	14	10	networks	network	NOUN
easat-3415	14	11	represents	represent	VERB
easat-3415	14	12	the	the	DET
easat-3415	14	13	latest	late	ADJ
easat-3415	14	14	dive	dive	NOUN
easat-3415	14	15	forward	forward	ADV
easat-3415	14	16	in	in	ADP
easat-3415	14	17	this	this	DET
easat-3415	14	18	development	development	NOUN
easat-3415	14	19	,	,	PUNCT
easat-3415	14	20	promising	promise	VERB
easat-3415	14	21	ultra	ultra	ADJ
easat-3415	14	22	-	-	ADJ
easat-3415	14	23	fast	fast	ADJ
easat-3415	14	24	speeds	speed	NOUN
easat-3415	14	25	,	,	PUNCT
easat-3415	14	26	low	low	ADJ
easat-3415	14	27	-	-	PUNCT
easat-3415	14	28	latency	latency	NOUN
easat-3415	14	29	communication	communication	NOUN
easat-3415	14	30	[	[	X
easat-3415	14	31	1]-[3	1]-[3	NUM
easat-3415	14	32	]	]	X
easat-3415	14	33	,	,	PUNCT
easat-3415	14	34	and	and	CCONJ
easat-3415	14	35	the	the	DET
easat-3415	14	36	capacity	capacity	NOUN
easat-3415	14	37	to	to	PART
easat-3415	14	38	connect	connect	VERB
easat-3415	14	39	vast	vast	ADJ
easat-3415	14	40	numbers	number	NOUN
easat-3415	14	41	of	of	ADP
easat-3415	14	42	devices	device	NOUN
easat-3415	14	43	simultaneously	simultaneously	ADV
easat-3415	14	44	[	[	X
easat-3415	14	45	4	4	NUM
easat-3415	14	46	]	]	PUNCT
easat-3415	14	47	.	.	PUNCT
easat-3415	15	1	these	these	DET
easat-3415	15	2	advancements	advancement	NOUN
easat-3415	15	3	are	be	AUX
easat-3415	15	4	expected	expect	VERB
easat-3415	15	5	to	to	PART
easat-3415	15	6	drive	drive	VERB
easat-3415	15	7	innovations	innovation	NOUN
easat-3415	15	8	in	in	ADP
easat-3415	15	9	industries	industry	NOUN
easat-3415	15	10	such	such	ADJ
easat-3415	15	11	as	as	ADP
easat-3415	15	12	intelligent	intelligent	ADJ
easat-3415	15	13	cities	city	NOUN
easat-3415	15	14	,	,	PUNCT
easat-3415	15	15	manufacturing	manufacturing	NOUN
easat-3415	15	16	,	,	PUNCT
easat-3415	15	17	and	and	CCONJ
easat-3415	15	18	the	the	DET
easat-3415	15	19	internet	internet	NOUN
easat-3415	15	20	of	of	ADP
easat-3415	15	21	things	thing	NOUN
easat-3415	15	22	(	(	PUNCT
easat-3415	15	23	iot	iot	NOUN
easat-3415	15	24	)	)	PUNCT
easat-3415	16	1	[	[	X
easat-3415	16	2	5	5	NUM
easat-3415	16	3	]	]	PUNCT
easat-3415	16	4	,	,	PUNCT
easat-3415	16	5	[	[	X
easat-3415	16	6	6	6	NUM
easat-3415	16	7	]	]	PUNCT
easat-3415	16	8	.	.	PUNCT
easat-3415	17	1	however	however	ADV
easat-3415	17	2	,	,	PUNCT
easat-3415	17	3	with	with	ADP
easat-3415	17	4	the	the	DET
easat-3415	17	5	rollout	rollout	NOUN
easat-3415	17	6	of	of	ADP
easat-3415	17	7	5	5	NUM
easat-3415	17	8	g	g	NOUN
easat-3415	17	9	comes	come	VERB
easat-3415	17	10	new	new	ADJ
easat-3415	17	11	challenges	challenge	NOUN
easat-3415	17	12	,	,	PUNCT
easat-3415	17	13	particularly	particularly	ADV
easat-3415	17	14	in	in	ADP
easat-3415	17	15	maintaining	maintain	VERB
easat-3415	17	16	consistent	consistent	ADJ
easat-3415	17	17	and	and	CCONJ
easat-3415	17	18	reliable	reliable	ADJ
easat-3415	17	19	quality	quality	NOUN
easat-3415	17	20	of	of	ADP
easat-3415	17	21	service	service	NOUN
easat-3415	17	22	(	(	PUNCT
easat-3415	17	23	qos	qos	PROPN
easat-3415	17	24	)	)	PUNCT
easat-3415	17	25	across	across	ADP
easat-3415	17	26	diverse	diverse	ADJ
easat-3415	17	27	and	and	CCONJ
easat-3415	17	28	complex	complex	ADJ
easat-3415	17	29	environments	environment	NOUN
easat-3415	17	30	.	.	PUNCT
easat-3415	18	1	accurate	accurate	ADJ
easat-3415	18	2	signal	signal	NOUN
easat-3415	18	3	strength	strength	NOUN
easat-3415	18	4	prediction	prediction	NOUN
easat-3415	18	5	is	be	AUX
easat-3415	18	6	essential	essential	ADJ
easat-3415	18	7	for	for	ADP
easat-3415	18	8	ensuring	ensure	VERB
easat-3415	18	9	reliable	reliable	ADJ
easat-3415	18	10	qos	qos	NOUN
easat-3415	18	11	in	in	ADP
easat-3415	18	12	mobile	mobile	ADJ
easat-3415	18	13	networks	network	NOUN
easat-3415	18	14	.	.	PUNCT
easat-3415	19	1	effective	effective	ADJ
easat-3415	19	2	prediction	prediction	NOUN
easat-3415	19	3	is	be	AUX
easat-3415	19	4	critical	critical	ADJ
easat-3415	19	5	for	for	ADP
easat-3415	19	6	network	network	NOUN
easat-3415	19	7	planning	planning	NOUN
easat-3415	19	8	,	,	PUNCT
easat-3415	19	9	resource	resource	NOUN
easat-3415	19	10	allocation	allocation	NOUN
easat-3415	19	11	,	,	PUNCT
easat-3415	19	12	and	and	CCONJ
easat-3415	19	13	optimizing	optimize	VERB
easat-3415	19	14	user	user	NOUN
easat-3415	19	15	experiences	experience	NOUN
easat-3415	19	16	[	[	X
easat-3415	19	17	7	7	NUM
easat-3415	19	18	]	]	PUNCT
easat-3415	19	19	.	.	PUNCT
easat-3415	20	1	however	however	ADV
easat-3415	20	2	,	,	PUNCT
easat-3415	20	3	the	the	DET
easat-3415	20	4	increasing	increase	VERB
easat-3415	20	5	complexity	complexity	NOUN
easat-3415	20	6	of	of	ADP
easat-3415	20	7	mobile	mobile	ADJ
easat-3415	20	8	networks	network	NOUN
easat-3415	20	9	,	,	PUNCT
easat-3415	20	10	especially	especially	ADV
easat-3415	20	11	with	with	ADP
easat-3415	20	12	the	the	DET
easat-3415	20	13	dense	dense	ADJ
easat-3415	20	14	and	and	CCONJ
easat-3415	20	15	variable	variable	ADJ
easat-3415	20	16	environments	environment	NOUN
easat-3415	20	17	of	of	ADP
easat-3415	20	18	5	5	NUM
easat-3415	20	19	g	g	NOUN
easat-3415	20	20	,	,	PUNCT
easat-3415	20	21	presents	present	VERB
easat-3415	20	22	challenges	challenge	NOUN
easat-3415	20	23	that	that	SCONJ
easat-3415	20	24	traditional	traditional	ADJ
easat-3415	20	25	models	model	NOUN
easat-3415	20	26	struggle	struggle	VERB
easat-3415	20	27	to	to	PART
easat-3415	20	28	address	address	VERB
easat-3415	20	29	.	.	PUNCT
easat-3415	21	1	methods	method	NOUN
easat-3415	21	2	such	such	ADJ
easat-3415	21	3	as	as	ADP
easat-3415	21	4	arima	arima	NOUN
easat-3415	21	5	,	,	PUNCT
easat-3415	21	6	support	support	NOUN
easat-3415	21	7	vector	vector	NOUN
easat-3415	21	8	regression	regression	NOUN
easat-3415	21	9	(	(	PUNCT
easat-3415	21	10	svr	svr	PROPN
easat-3415	21	11	)	)	PUNCT
easat-3415	21	12	,	,	PUNCT
easat-3415	22	1	random	random	ADJ
easat-3415	22	2	forest	forest	NOUN
easat-3415	22	3	(	(	PUNCT
easat-3415	22	4	rf	rf	NOUN
easat-3415	22	5	)	)	PUNCT
easat-3415	22	6	,	,	PUNCT
easat-3415	22	7	and	and	CCONJ
easat-3415	22	8	even	even	ADV
easat-3415	22	9	simpler	simple	ADJ
easat-3415	22	10	clustering	clustering	NOUN
easat-3415	22	11	models	model	NOUN
easat-3415	22	12	like	like	ADP
easat-3415	22	13	k	k	X
easat-3415	22	14	-	-	PUNCT
easat-3415	22	15	means	mean	NOUN
easat-3415	22	16	have	have	AUX
easat-3415	22	17	demonstrated	demonstrate	VERB
easat-3415	22	18	some	some	DET
easat-3415	22	19	predictive	predictive	ADJ
easat-3415	22	20	power	power	NOUN
easat-3415	22	21	[	[	X
easat-3415	22	22	8	8	NUM
easat-3415	22	23	]	]	X
easat-3415	22	24	[	[	X
easat-3415	22	25	10	10	NUM
easat-3415	22	26	]	]	PUNCT
easat-3415	22	27	but	but	CCONJ
easat-3415	22	28	fall	fall	VERB
easat-3415	22	29	short	short	ADV
easat-3415	22	30	in	in	ADP
easat-3415	22	31	environments	environment	NOUN
easat-3415	22	32	characterized	characterize	VERB
easat-3415	22	33	by	by	ADP
easat-3415	22	34	high	high	ADJ
easat-3415	22	35	variability	variability	NOUN
easat-3415	22	36	,	,	PUNCT
easat-3415	22	37	large	large	ADJ
easat-3415	22	38	data	datum	NOUN
easat-3415	22	39	volumes	volume	NOUN
easat-3415	22	40	,	,	PUNCT
easat-3415	22	41	and	and	CCONJ
easat-3415	22	42	intricate	intricate	ADJ
easat-3415	22	43	spatial	spatial	ADJ
easat-3415	22	44	dependencies	dependency	NOUN
easat-3415	22	45	.	.	PUNCT
easat-3415	23	1	6626	6626	NUM
easat-3415	23	2	edelweiss	edelweiss	PROPN
easat-3415	23	3	applied	apply	VERB
easat-3415	23	4	science	science	NOUN
easat-3415	23	5	and	and	CCONJ
easat-3415	23	6	technology	technology	NOUN
easat-3415	23	7	issn	issn	PROPN
easat-3415	23	8	:	:	PUNCT
easat-3415	23	9	2576	2576	NUM
easat-3415	23	10	-	-	SYM
easat-3415	23	11	8484	8484	NUM
easat-3415	23	12	vol	vol	NOUN
easat-3415	23	13	.	.	PROPN
easat-3415	23	14	8	8	NUM
easat-3415	23	15	,	,	PUNCT
easat-3415	23	16	no	no	INTJ
easat-3415	23	17	.	.	NOUN
easat-3415	24	1	6	6	NUM
easat-3415	24	2	:	:	SYM
easat-3415	24	3	6625	6625	NUM
easat-3415	24	4	-	-	SYM
easat-3415	24	5	6643	6643	NUM
easat-3415	24	6	,	,	PUNCT
easat-3415	24	7	2024	2024	NUM
easat-3415	24	8	doi	doi	NOUN
easat-3415	24	9	:	:	PUNCT
easat-3415	24	10	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	24	11	©	©	PROPN
easat-3415	24	12	2024	2024	NUM
easat-3415	24	13	by	by	ADP
easat-3415	24	14	the	the	DET
easat-3415	24	15	author	author	NOUN
easat-3415	24	16	;	;	PUNCT
easat-3415	24	17	licensee	licensee	PROPN
easat-3415	24	18	learning	learning	NOUN
easat-3415	24	19	gate	gate	VERB
easat-3415	24	20	these	these	DET
easat-3415	24	21	traditional	traditional	ADJ
easat-3415	24	22	models	model	NOUN
easat-3415	24	23	are	be	AUX
easat-3415	24	24	typically	typically	ADV
easat-3415	24	25	linear	linear	ADJ
easat-3415	24	26	in	in	ADP
easat-3415	24	27	nature	nature	NOUN
easat-3415	24	28	and	and	CCONJ
easat-3415	24	29	struggle	struggle	VERB
easat-3415	24	30	with	with	ADP
easat-3415	24	31	capturing	capture	VERB
easat-3415	24	32	the	the	DET
easat-3415	24	33	temporal	temporal	ADJ
easat-3415	24	34	and	and	CCONJ
easat-3415	24	35	spatial	spatial	ADJ
easat-3415	24	36	dynamics	dynamic	NOUN
easat-3415	24	37	inherent	inherent	ADJ
easat-3415	24	38	in	in	ADP
easat-3415	24	39	5	5	NUM
easat-3415	24	40	g	g	NOUN
easat-3415	24	41	networks	network	NOUN
easat-3415	24	42	.	.	PUNCT
easat-3415	25	1	arima	arima	PROPN
easat-3415	25	2	,	,	PUNCT
easat-3415	25	3	while	while	SCONJ
easat-3415	25	4	effective	effective	ADJ
easat-3415	25	5	for	for	ADP
easat-3415	25	6	linear	linear	ADJ
easat-3415	25	7	time	time	NOUN
easat-3415	25	8	-	-	PUNCT
easat-3415	25	9	series	series	NOUN
easat-3415	25	10	data	datum	NOUN
easat-3415	25	11	,	,	PUNCT
easat-3415	25	12	can	can	AUX
easat-3415	25	13	not	not	PART
easat-3415	25	14	adequately	adequately	ADV
easat-3415	25	15	model	model	VERB
easat-3415	25	16	the	the	DET
easat-3415	25	17	nonlinear	nonlinear	ADJ
easat-3415	25	18	and	and	CCONJ
easat-3415	25	19	stochastic	stochastic	ADJ
easat-3415	25	20	behaviour	behaviour	NOUN
easat-3415	25	21	of	of	ADP
easat-3415	25	22	modern	modern	ADJ
easat-3415	25	23	network	network	NOUN
easat-3415	25	24	traffic	traffic	NOUN
easat-3415	25	25	[	[	X
easat-3415	25	26	11	11	NUM
easat-3415	25	27	]	]	PUNCT
easat-3415	25	28	.	.	PUNCT
easat-3415	26	1	similarly	similarly	ADV
easat-3415	26	2	,	,	PUNCT
easat-3415	26	3	random	random	ADJ
easat-3415	26	4	forest	forest	NOUN
easat-3415	26	5	and	and	CCONJ
easat-3415	26	6	svr	svr	PROPN
easat-3415	26	7	,	,	PUNCT
easat-3415	26	8	though	though	SCONJ
easat-3415	26	9	successful	successful	ADJ
easat-3415	26	10	in	in	ADP
easat-3415	26	11	some	some	DET
easat-3415	26	12	scenarios	scenario	NOUN
easat-3415	26	13	,	,	PUNCT
easat-3415	26	14	lack	lack	VERB
easat-3415	26	15	the	the	DET
easat-3415	26	16	ability	ability	NOUN
easat-3415	26	17	to	to	PART
easat-3415	26	18	generalize	generalize	VERB
easat-3415	26	19	well	well	ADV
easat-3415	26	20	in	in	ADP
easat-3415	26	21	highly	highly	ADV
easat-3415	26	22	dynamic	dynamic	ADJ
easat-3415	26	23	and	and	CCONJ
easat-3415	26	24	fluctuating	fluctuate	VERB
easat-3415	26	25	environments	environment	NOUN
easat-3415	26	26	like	like	ADP
easat-3415	26	27	those	those	PRON
easat-3415	26	28	of	of	ADP
easat-3415	26	29	5	5	NUM
easat-3415	26	30	g.	g.	NOUN
easat-3415	26	31	current	current	ADJ
easat-3415	26	32	clustering	clustering	ADJ
easat-3415	26	33	approaches	approach	NOUN
easat-3415	26	34	,	,	PUNCT
easat-3415	26	35	such	such	ADJ
easat-3415	26	36	as	as	ADP
easat-3415	26	37	k	k	NOUN
easat-3415	26	38	-	-	PUNCT
easat-3415	26	39	means	means	ADJ
easat-3415	26	40	,	,	PUNCT
easat-3415	26	41	often	often	ADV
easat-3415	26	42	result	result	VERB
easat-3415	26	43	in	in	ADP
easat-3415	26	44	suboptimal	suboptimal	ADJ
easat-3415	26	45	clusters	cluster	NOUN
easat-3415	26	46	that	that	PRON
easat-3415	26	47	fail	fail	VERB
easat-3415	26	48	to	to	PART
easat-3415	26	49	account	account	VERB
easat-3415	26	50	for	for	ADP
easat-3415	26	51	spatial	spatial	ADJ
easat-3415	26	52	dependencies	dependency	NOUN
easat-3415	26	53	[	[	X
easat-3415	26	54	12	12	NUM
easat-3415	26	55	]	]	PUNCT
easat-3415	26	56	,	,	PUNCT
easat-3415	26	57	making	make	VERB
easat-3415	26	58	the	the	DET
easat-3415	26	59	model	model	NOUN
easat-3415	26	60	less	less	ADV
easat-3415	26	61	effective	effective	ADJ
easat-3415	26	62	in	in	ADP
easat-3415	26	63	heterogeneous	heterogeneous	ADJ
easat-3415	26	64	mobile	mobile	ADJ
easat-3415	26	65	environments	environment	NOUN
easat-3415	26	66	.	.	PUNCT
easat-3415	27	1	as	as	ADP
easat-3415	27	2	a	a	DET
easat-3415	27	3	result	result	NOUN
easat-3415	27	4	,	,	PUNCT
easat-3415	27	5	the	the	DET
easat-3415	27	6	prediction	prediction	NOUN
easat-3415	27	7	accuracy	accuracy	NOUN
easat-3415	27	8	and	and	CCONJ
easat-3415	27	9	reliability	reliability	NOUN
easat-3415	27	10	of	of	ADP
easat-3415	27	11	these	these	DET
easat-3415	27	12	models	model	NOUN
easat-3415	27	13	can	can	AUX
easat-3415	27	14	be	be	AUX
easat-3415	27	15	significantly	significantly	ADV
easat-3415	27	16	reduced	reduce	VERB
easat-3415	27	17	in	in	ADP
easat-3415	27	18	real	real	ADJ
easat-3415	27	19	-	-	PUNCT
easat-3415	27	20	world	world	NOUN
easat-3415	27	21	5	5	NUM
easat-3415	27	22	g	g	NOUN
easat-3415	27	23	applications	application	NOUN
easat-3415	27	24	.	.	PUNCT
easat-3415	28	1	to	to	PART
easat-3415	28	2	tackle	tackle	VERB
easat-3415	28	3	these	these	DET
easat-3415	28	4	challenges	challenge	NOUN
easat-3415	28	5	,	,	PUNCT
easat-3415	28	6	we	we	PRON
easat-3415	28	7	suggest	suggest	VERB
easat-3415	28	8	a	a	DET
easat-3415	28	9	novel	novel	ADJ
easat-3415	28	10	hybrid	hybrid	NOUN
easat-3415	28	11	framework	framework	NOUN
easat-3415	28	12	called	call	VERB
easat-3415	28	13	clustered	clustered	ADJ
easat-3415	28	14	temporal	temporal	ADJ
easat-3415	28	15	memory	memory	NOUN
easat-3415	28	16	networks	network	NOUN
easat-3415	28	17	(	(	PUNCT
easat-3415	28	18	ctmn	ctmn	NOUN
easat-3415	28	19	)	)	PUNCT
easat-3415	28	20	.	.	PUNCT
easat-3415	29	1	the	the	DET
easat-3415	29	2	ctmn	ctmn	NOUN
easat-3415	29	3	model	model	NOUN
easat-3415	29	4	integrates	integrate	VERB
easat-3415	29	5	clustering	cluster	VERB
easat-3415	29	6	techniques	technique	NOUN
easat-3415	29	7	with	with	ADP
easat-3415	29	8	advanced	advanced	ADJ
easat-3415	29	9	timeseries	timeserie	NOUN
easat-3415	29	10	modelling	model	VERB
easat-3415	29	11	to	to	PART
easat-3415	29	12	enhance	enhance	VERB
easat-3415	29	13	both	both	DET
easat-3415	29	14	prediction	prediction	NOUN
easat-3415	29	15	accuracy	accuracy	NOUN
easat-3415	29	16	and	and	CCONJ
easat-3415	29	17	reliability	reliability	NOUN
easat-3415	29	18	.	.	PUNCT
easat-3415	30	1	by	by	ADP
easat-3415	30	2	segmenting	segment	VERB
easat-3415	30	3	the	the	DET
easat-3415	30	4	data	datum	NOUN
easat-3415	30	5	into	into	ADP
easat-3415	30	6	clusters	cluster	NOUN
easat-3415	30	7	that	that	PRON
easat-3415	30	8	capture	capture	VERB
easat-3415	30	9	the	the	DET
easat-3415	30	10	diverse	diverse	ADJ
easat-3415	30	11	conditions	condition	NOUN
easat-3415	30	12	of	of	ADP
easat-3415	30	13	mobile	mobile	ADJ
easat-3415	30	14	environments	environment	NOUN
easat-3415	30	15	and	and	CCONJ
easat-3415	30	16	applying	apply	VERB
easat-3415	30	17	specialized	specialized	ADJ
easat-3415	30	18	time	time	NOUN
easat-3415	30	19	-	-	PUNCT
easat-3415	30	20	series	series	NOUN
easat-3415	30	21	models	model	NOUN
easat-3415	30	22	(	(	PUNCT
easat-3415	30	23	such	such	ADJ
easat-3415	30	24	as	as	ADP
easat-3415	30	25	long	long	ADJ
easat-3415	30	26	short	short	ADJ
easat-3415	30	27	-	-	PUNCT
easat-3415	30	28	term	term	NOUN
easat-3415	30	29	memory	memory	NOUN
easat-3415	30	30	(	(	PUNCT
easat-3415	30	31	lstm	lstm	NOUN
easat-3415	30	32	)	)	PUNCT
easat-3415	30	33	)	)	PUNCT
easat-3415	30	34	to	to	ADP
easat-3415	30	35	each	each	DET
easat-3415	30	36	cluster	cluster	NOUN
easat-3415	30	37	,	,	PUNCT
easat-3415	30	38	ctmn	ctmn	NOUN
easat-3415	30	39	aims	aim	VERB
easat-3415	30	40	to	to	PART
easat-3415	30	41	overcome	overcome	VERB
easat-3415	30	42	the	the	DET
easat-3415	30	43	limitations	limitation	NOUN
easat-3415	30	44	of	of	ADP
easat-3415	30	45	traditional	traditional	ADJ
easat-3415	30	46	methods	method	NOUN
easat-3415	30	47	.	.	PUNCT
easat-3415	31	1	the	the	DET
easat-3415	31	2	objective	objective	NOUN
easat-3415	31	3	of	of	ADP
easat-3415	31	4	this	this	DET
easat-3415	31	5	study	study	NOUN
easat-3415	31	6	is	be	AUX
easat-3415	31	7	to	to	PART
easat-3415	31	8	offer	offer	VERB
easat-3415	31	9	a	a	DET
easat-3415	31	10	more	more	ADV
easat-3415	31	11	resilient	resilient	ADJ
easat-3415	31	12	approach	approach	NOUN
easat-3415	31	13	for	for	ADP
easat-3415	31	14	signal	signal	NOUN
easat-3415	31	15	strength	strength	NOUN
easat-3415	31	16	prediction	prediction	NOUN
easat-3415	31	17	in	in	ADP
easat-3415	31	18	modern	modern	ADJ
easat-3415	31	19	advanced	advanced	ADJ
easat-3415	31	20	mobile	mobile	ADJ
easat-3415	31	21	networks	network	NOUN
easat-3415	31	22	,	,	PUNCT
easat-3415	31	23	particularly	particularly	ADV
easat-3415	31	24	in	in	ADP
easat-3415	31	25	the	the	DET
easat-3415	31	26	complex	complex	ADJ
easat-3415	31	27	5	5	NUM
easat-3415	31	28	g	g	NOUN
easat-3415	31	29	environment	environment	NOUN
easat-3415	31	30	.	.	PUNCT
easat-3415	32	1	several	several	ADJ
easat-3415	32	2	existing	exist	VERB
easat-3415	32	3	hybrid	hybrid	ADJ
easat-3415	32	4	methods	method	NOUN
easat-3415	32	5	have	have	AUX
easat-3415	32	6	been	be	AUX
easat-3415	32	7	explored	explore	VERB
easat-3415	32	8	to	to	PART
easat-3415	32	9	assess	assess	VERB
easat-3415	32	10	the	the	DET
easat-3415	32	11	effectiveness	effectiveness	NOUN
easat-3415	32	12	of	of	ADP
easat-3415	32	13	machine	machine	NOUN
easat-3415	32	14	learning	learn	VERB
easat-3415	32	15	systems	system	NOUN
easat-3415	32	16	in	in	ADP
easat-3415	32	17	predicting	predict	VERB
easat-3415	32	18	qos	qos	PROPN
easat-3415	32	19	in	in	ADP
easat-3415	32	20	mobile	mobile	ADJ
easat-3415	32	21	networks	network	NOUN
easat-3415	32	22	.	.	PUNCT
easat-3415	33	1	for	for	ADP
easat-3415	33	2	instance	instance	NOUN
easat-3415	33	3	,	,	PUNCT
easat-3415	33	4	in	in	ADP
easat-3415	33	5	[	[	X
easat-3415	33	6	13	13	NUM
easat-3415	33	7	]	]	PUNCT
easat-3415	33	8	,	,	PUNCT
easat-3415	33	9	a	a	DET
easat-3415	33	10	simple	simple	ADJ
easat-3415	33	11	k	k	ADJ
easat-3415	33	12	-	-	PUNCT
easat-3415	33	13	means	mean	VERB
easat-3415	33	14	clustering	clustering	NOUN
easat-3415	33	15	model	model	NOUN
easat-3415	33	16	was	be	AUX
easat-3415	33	17	employed	employ	VERB
easat-3415	33	18	to	to	PART
easat-3415	33	19	group	group	VERB
easat-3415	33	20	the	the	DET
easat-3415	33	21	data	datum	NOUN
easat-3415	33	22	,	,	PUNCT
easat-3415	33	23	followed	follow	VERB
easat-3415	33	24	by	by	ADP
easat-3415	33	25	a	a	DET
easat-3415	33	26	decision	decision	NOUN
easat-3415	33	27	tree	tree	NOUN
easat-3415	33	28	to	to	PART
easat-3415	33	29	predict	predict	VERB
easat-3415	33	30	potential	potential	ADJ
easat-3415	33	31	network	network	NOUN
easat-3415	33	32	anomalies	anomaly	NOUN
easat-3415	33	33	.	.	PUNCT
easat-3415	34	1	while	while	SCONJ
easat-3415	34	2	this	this	DET
easat-3415	34	3	approach	approach	NOUN
easat-3415	34	4	demonstrated	demonstrate	VERB
easat-3415	34	5	high	high	ADJ
easat-3415	34	6	accuracy	accuracy	NOUN
easat-3415	34	7	in	in	ADP
easat-3415	34	8	simulated	simulated	ADJ
easat-3415	34	9	environments	environment	NOUN
easat-3415	34	10	,	,	PUNCT
easat-3415	34	11	it	it	PRON
easat-3415	34	12	lacked	lack	VERB
easat-3415	34	13	the	the	DET
easat-3415	34	14	ability	ability	NOUN
easat-3415	34	15	to	to	PART
easat-3415	34	16	handle	handle	VERB
easat-3415	34	17	real	real	ADJ
easat-3415	34	18	-	-	PUNCT
easat-3415	34	19	world	world	NOUN
easat-3415	34	20	data	datum	NOUN
easat-3415	34	21	,	,	PUNCT
easat-3415	34	22	failing	fail	VERB
easat-3415	34	23	to	to	PART
easat-3415	34	24	account	account	VERB
easat-3415	34	25	for	for	ADP
easat-3415	34	26	actual	actual	ADJ
easat-3415	34	27	traffic	traffic	NOUN
easat-3415	34	28	volumes	volume	NOUN
easat-3415	34	29	and	and	CCONJ
easat-3415	34	30	active	active	ADJ
easat-3415	34	31	users	user	NOUN
easat-3415	34	32	.	.	PUNCT
easat-3415	35	1	in	in	ADP
easat-3415	35	2	[	[	X
easat-3415	35	3	14	14	NUM
easat-3415	35	4	]	]	PUNCT
easat-3415	35	5	,	,	PUNCT
easat-3415	35	6	logistic	logistic	ADJ
easat-3415	35	7	regression	regression	NOUN
easat-3415	35	8	and	and	CCONJ
easat-3415	35	9	random	random	ADJ
easat-3415	35	10	forest	forest	NOUN
easat-3415	35	11	models	model	NOUN
easat-3415	35	12	have	have	AUX
easat-3415	35	13	shown	show	VERB
easat-3415	35	14	better	well	ADJ
easat-3415	35	15	performance	performance	NOUN
easat-3415	35	16	in	in	ADP
easat-3415	35	17	certain	certain	ADJ
easat-3415	35	18	cases	case	NOUN
easat-3415	35	19	,	,	PUNCT
easat-3415	35	20	but	but	CCONJ
easat-3415	35	21	they	they	PRON
easat-3415	35	22	still	still	ADV
easat-3415	35	23	struggle	struggle	VERB
easat-3415	35	24	with	with	ADP
easat-3415	35	25	the	the	DET
easat-3415	35	26	nonlinearity	nonlinearity	NOUN
easat-3415	35	27	and	and	CCONJ
easat-3415	35	28	variability	variability	NOUN
easat-3415	35	29	present	present	ADJ
easat-3415	35	30	in	in	ADP
easat-3415	35	31	5	5	NUM
easat-3415	35	32	g	g	NOUN
easat-3415	35	33	networks	network	NOUN
easat-3415	35	34	.	.	PUNCT
easat-3415	36	1	deep	deep	ADJ
easat-3415	36	2	learning	learning	NOUN
easat-3415	36	3	(	(	PUNCT
easat-3415	36	4	dl	dl	INTJ
easat-3415	36	5	)	)	PUNCT
easat-3415	36	6	has	have	AUX
easat-3415	36	7	attested	attest	VERB
easat-3415	36	8	to	to	PART
easat-3415	36	9	be	be	AUX
easat-3415	36	10	exceptionally	exceptionally	ADV
easat-3415	36	11	successful	successful	ADJ
easat-3415	36	12	in	in	ADP
easat-3415	36	13	prediction	prediction	NOUN
easat-3415	36	14	jobs	job	NOUN
easat-3415	37	1	[	[	X
easat-3415	37	2	15]-[17	15]-[17	NUM
easat-3415	37	3	]	]	PUNCT
easat-3415	37	4	.	.	PUNCT
easat-3415	38	1	however	however	ADV
easat-3415	38	2	,	,	PUNCT
easat-3415	38	3	the	the	DET
easat-3415	38	4	study	study	NOUN
easat-3415	38	5	in	in	ADP
easat-3415	38	6	[	[	X
easat-3415	38	7	14	14	NUM
easat-3415	38	8	]	]	PUNCT
easat-3415	38	9	did	do	AUX
easat-3415	38	10	not	not	PART
easat-3415	38	11	compare	compare	VERB
easat-3415	38	12	the	the	DET
easat-3415	38	13	results	result	NOUN
easat-3415	38	14	to	to	ADP
easat-3415	38	15	deep	deep	ADJ
easat-3415	38	16	learning	learning	NOUN
easat-3415	38	17	techniques	technique	NOUN
easat-3415	38	18	even	even	ADV
easat-3415	38	19	more	more	ADV
easat-3415	38	20	advanced	advanced	ADJ
easat-3415	38	21	models	model	NOUN
easat-3415	38	22	like	like	ADP
easat-3415	38	23	recurrent	recurrent	ADJ
easat-3415	38	24	convolutional	convolutional	ADJ
easat-3415	38	25	neural	neural	ADJ
easat-3415	38	26	networks	network	NOUN
easat-3415	38	27	(	(	PUNCT
easat-3415	38	28	r	r	NOUN
easat-3415	38	29	-	-	PUNCT
easat-3415	38	30	cnn	cnn	NOUN
easat-3415	38	31	)	)	PUNCT
easat-3415	38	32	and	and	CCONJ
easat-3415	38	33	long	long	ADJ
easat-3415	38	34	short	short	ADJ
easat-3415	38	35	-	-	PUNCT
easat-3415	38	36	term	term	NOUN
easat-3415	38	37	memory	memory	NOUN
easat-3415	38	38	(	(	PUNCT
easat-3415	38	39	lstm	lstm	NOUN
easat-3415	38	40	)	)	PUNCT
easat-3415	38	41	architectures	architecture	NOUN
easat-3415	38	42	[	[	X
easat-3415	38	43	18	18	NUM
easat-3415	38	44	]	]	PUNCT
easat-3415	38	45	,	,	PUNCT
easat-3415	38	46	[	[	X
easat-3415	38	47	19	19	NUM
easat-3415	38	48	]	]	PUNCT
easat-3415	38	49	have	have	AUX
easat-3415	38	50	demonstrated	demonstrate	VERB
easat-3415	38	51	promise	promise	NOUN
easat-3415	38	52	,	,	PUNCT
easat-3415	38	53	but	but	CCONJ
easat-3415	38	54	their	their	PRON
easat-3415	38	55	effectiveness	effectiveness	NOUN
easat-3415	38	56	is	be	AUX
easat-3415	38	57	limited	limit	VERB
easat-3415	38	58	when	when	SCONJ
easat-3415	38	59	applied	apply	VERB
easat-3415	38	60	to	to	ADP
easat-3415	38	61	real	real	ADJ
easat-3415	38	62	-	-	PUNCT
easat-3415	38	63	world	world	NOUN
easat-3415	38	64	data	datum	NOUN
easat-3415	38	65	without	without	ADP
easat-3415	38	66	proper	proper	ADJ
easat-3415	38	67	spatial	spatial	ADJ
easat-3415	38	68	clustering	clustering	NOUN
easat-3415	38	69	.	.	PUNCT
easat-3415	39	1	the	the	DET
easat-3415	39	2	literature	literature	NOUN
easat-3415	39	3	suggests	suggest	VERB
easat-3415	39	4	that	that	SCONJ
easat-3415	39	5	lstm	lstm	NOUN
easat-3415	39	6	-	-	PUNCT
easat-3415	39	7	based	base	VERB
easat-3415	39	8	techniques	technique	NOUN
easat-3415	39	9	,	,	PUNCT
easat-3415	39	10	particularly	particularly	ADV
easat-3415	39	11	when	when	SCONJ
easat-3415	39	12	combined	combine	VERB
easat-3415	39	13	with	with	ADP
easat-3415	39	14	other	other	ADJ
easat-3415	39	15	machine	machine	NOUN
easat-3415	39	16	learning	learning	NOUN
easat-3415	39	17	models	model	NOUN
easat-3415	39	18	,	,	PUNCT
easat-3415	39	19	show	show	VERB
easat-3415	39	20	great	great	ADJ
easat-3415	39	21	potential	potential	NOUN
easat-3415	39	22	for	for	ADP
easat-3415	39	23	handling	handle	VERB
easat-3415	39	24	time	time	NOUN
easat-3415	39	25	-	-	PUNCT
easat-3415	39	26	series	series	NOUN
easat-3415	39	27	data	datum	NOUN
easat-3415	39	28	in	in	ADP
easat-3415	39	29	mobile	mobile	ADJ
easat-3415	39	30	networks	network	NOUN
easat-3415	39	31	.	.	PUNCT
easat-3415	40	1	however	however	ADV
easat-3415	40	2	,	,	PUNCT
easat-3415	40	3	studies	study	NOUN
easat-3415	40	4	have	have	AUX
easat-3415	40	5	shown	show	VERB
easat-3415	40	6	that	that	SCONJ
easat-3415	40	7	clustering	cluster	VERB
easat-3415	40	8	methods	method	NOUN
easat-3415	40	9	like	like	ADP
easat-3415	40	10	k	k	X
easat-3415	40	11	-	-	PUNCT
easat-3415	40	12	means	mean	NOUN
easat-3415	40	13	often	often	ADV
easat-3415	40	14	lead	lead	VERB
easat-3415	40	15	to	to	ADP
easat-3415	40	16	less	less	ADV
easat-3415	40	17	effective	effective	ADJ
easat-3415	40	18	models	model	NOUN
easat-3415	40	19	compared	compare	VERB
easat-3415	40	20	to	to	ADP
easat-3415	40	21	more	more	ADV
easat-3415	40	22	spatially	spatially	ADV
easat-3415	40	23	aware	aware	ADJ
easat-3415	40	24	approaches	approach	NOUN
easat-3415	40	25	like	like	ADP
easat-3415	40	26	dbscan	dbscan	NOUN
easat-3415	40	27	.	.	PUNCT
easat-3415	41	1	moreover	moreover	ADV
easat-3415	41	2	,	,	PUNCT
easat-3415	41	3	while	while	SCONJ
easat-3415	41	4	traditional	traditional	ADJ
easat-3415	41	5	models	model	NOUN
easat-3415	41	6	have	have	AUX
easat-3415	41	7	achieved	achieve	VERB
easat-3415	41	8	acceptable	acceptable	ADJ
easat-3415	41	9	performance	performance	NOUN
easat-3415	41	10	metrics	metric	NOUN
easat-3415	41	11	such	such	ADJ
easat-3415	41	12	as	as	ADP
easat-3415	41	13	rmse	rmse	NOUN
easat-3415	41	14	and	and	CCONJ
easat-3415	41	15	mse	mse	NOUN
easat-3415	41	16	,	,	PUNCT
easat-3415	41	17	they	they	PRON
easat-3415	41	18	have	have	AUX
easat-3415	41	19	not	not	PART
easat-3415	41	20	been	be	AUX
easat-3415	41	21	optimized	optimize	VERB
easat-3415	41	22	for	for	SCONJ
easat-3415	41	23	the	the	DET
easat-3415	41	24	large	large	ADJ
easat-3415	41	25	-	-	PUNCT
easat-3415	41	26	scale	scale	NOUN
easat-3415	41	27	and	and	CCONJ
easat-3415	41	28	highly	highly	ADV
easat-3415	41	29	variable	variable	ADJ
easat-3415	41	30	data	datum	NOUN
easat-3415	41	31	sets	set	VERB
easat-3415	41	32	characteristic	characteristic	ADJ
easat-3415	41	33	of	of	ADP
easat-3415	41	34	modern	modern	ADJ
easat-3415	41	35	mobile	mobile	ADJ
easat-3415	41	36	networks	network	NOUN
easat-3415	41	37	.	.	PUNCT
easat-3415	42	1	this	this	DET
easat-3415	42	2	research	research	NOUN
easat-3415	42	3	introduces	introduce	VERB
easat-3415	42	4	the	the	DET
easat-3415	42	5	clustered	clustered	ADJ
easat-3415	42	6	temporal	temporal	ADJ
easat-3415	42	7	memory	memory	NOUN
easat-3415	42	8	networks	network	NOUN
easat-3415	42	9	(	(	PUNCT
easat-3415	42	10	ctmn	ctmn	NOUN
easat-3415	42	11	)	)	PUNCT
easat-3415	42	12	model	model	NOUN
easat-3415	42	13	to	to	PART
easat-3415	42	14	address	address	VERB
easat-3415	42	15	these	these	DET
easat-3415	42	16	limitations	limitation	NOUN
easat-3415	42	17	.	.	PUNCT
easat-3415	43	1	ctmn	ctmn	NOUN
easat-3415	43	2	integrates	integrate	NOUN
easat-3415	43	3	clustering	cluster	VERB
easat-3415	43	4	with	with	ADP
easat-3415	43	5	time	time	NOUN
easat-3415	43	6	-	-	PUNCT
easat-3415	43	7	series	series	NOUN
easat-3415	43	8	analysis	analysis	NOUN
easat-3415	43	9	,	,	PUNCT
easat-3415	43	10	improving	improve	VERB
easat-3415	43	11	the	the	DET
easat-3415	43	12	accuracy	accuracy	NOUN
easat-3415	43	13	and	and	CCONJ
easat-3415	43	14	reliability	reliability	NOUN
easat-3415	43	15	of	of	ADP
easat-3415	43	16	signal	signal	NOUN
easat-3415	43	17	strength	strength	NOUN
easat-3415	43	18	prediction	prediction	NOUN
easat-3415	43	19	.	.	PUNCT
easat-3415	44	1	by	by	ADP
easat-3415	44	2	segmenting	segment	VERB
easat-3415	44	3	the	the	DET
easat-3415	44	4	data	datum	NOUN
easat-3415	44	5	into	into	ADP
easat-3415	44	6	meaningful	meaningful	ADJ
easat-3415	44	7	clusters	cluster	NOUN
easat-3415	44	8	and	and	CCONJ
easat-3415	44	9	applying	apply	VERB
easat-3415	44	10	tailored	tailor	VERB
easat-3415	44	11	time	time	NOUN
easat-3415	44	12	-	-	PUNCT
easat-3415	44	13	series	series	NOUN
easat-3415	44	14	models	model	NOUN
easat-3415	44	15	within	within	ADP
easat-3415	44	16	each	each	DET
easat-3415	44	17	cluster	cluster	NOUN
easat-3415	44	18	,	,	PUNCT
easat-3415	44	19	ctmn	ctmn	NOUN
easat-3415	44	20	significantly	significantly	ADV
easat-3415	44	21	outperforms	outperform	VERB
easat-3415	44	22	traditional	traditional	ADJ
easat-3415	44	23	methods	method	NOUN
easat-3415	44	24	.	.	PUNCT
easat-3415	45	1	our	our	PRON
easat-3415	45	2	empirical	empirical	ADJ
easat-3415	45	3	analysis	analysis	NOUN
easat-3415	45	4	shows	show	VERB
easat-3415	45	5	that	that	DET
easat-3415	45	6	ctmn	ctmn	NOUN
easat-3415	45	7	improves	improve	VERB
easat-3415	45	8	prediction	prediction	NOUN
easat-3415	45	9	accuracy	accuracy	NOUN
easat-3415	45	10	by	by	ADP
easat-3415	45	11	up	up	ADP
easat-3415	45	12	to	to	PART
easat-3415	45	13	20.82	20.82	NUM
easat-3415	45	14	%	%	NOUN
easat-3415	45	15	across	across	ADP
easat-3415	45	16	performance	performance	NOUN
easat-3415	45	17	metrics	metric	NOUN
easat-3415	45	18	such	such	ADJ
easat-3415	45	19	as	as	ADP
easat-3415	45	20	mean	mean	NOUN
easat-3415	45	21	absolute	absolute	ADJ
easat-3415	45	22	error	error	NOUN
easat-3415	45	23	(	(	PUNCT
easat-3415	45	24	mae	mae	PROPN
easat-3415	45	25	)	)	PUNCT
easat-3415	45	26	,	,	PUNCT
easat-3415	45	27	mean	mean	VERB
easat-3415	45	28	squared	square	VERB
easat-3415	45	29	error	error	NOUN
easat-3415	45	30	(	(	PUNCT
easat-3415	45	31	mse	mse	NOUN
easat-3415	45	32	)	)	PUNCT
easat-3415	45	33	,	,	PUNCT
easat-3415	45	34	and	and	CCONJ
easat-3415	45	35	root	root	NOUN
easat-3415	45	36	mean	mean	VERB
easat-3415	45	37	squared	square	VERB
easat-3415	45	38	error	error	NOUN
easat-3415	45	39	(	(	PUNCT
easat-3415	45	40	rmse	rmse	NOUN
easat-3415	45	41	)	)	PUNCT
easat-3415	45	42	.	.	PUNCT
easat-3415	46	1	in	in	ADP
easat-3415	46	2	the	the	DET
easat-3415	46	3	following	follow	VERB
easat-3415	46	4	sections	section	NOUN
easat-3415	46	5	,	,	PUNCT
easat-3415	46	6	we	we	PRON
easat-3415	46	7	present	present	VERB
easat-3415	46	8	the	the	DET
easat-3415	46	9	dataset	dataset	NOUN
easat-3415	46	10	and	and	CCONJ
easat-3415	46	11	provide	provide	VERB
easat-3415	46	12	a	a	DET
easat-3415	46	13	detailed	detailed	ADJ
easat-3415	46	14	comparison	comparison	NOUN
easat-3415	46	15	of	of	ADP
easat-3415	46	16	commonly	commonly	ADV
easat-3415	46	17	used	use	VERB
easat-3415	46	18	machine	machine	NOUN
easat-3415	46	19	learning	learning	NOUN
easat-3415	46	20	methods	method	NOUN
easat-3415	46	21	for	for	ADP
easat-3415	46	22	signal	signal	NOUN
easat-3415	46	23	strength	strength	NOUN
easat-3415	46	24	prediction	prediction	NOUN
easat-3415	46	25	,	,	PUNCT
easat-3415	46	26	followed	follow	VERB
easat-3415	46	27	by	by	ADP
easat-3415	46	28	a	a	DET
easat-3415	46	29	thorough	thorough	ADJ
easat-3415	46	30	introduction	introduction	NOUN
easat-3415	46	31	to	to	ADP
easat-3415	46	32	the	the	DET
easat-3415	46	33	ctmn	ctmn	NOUN
easat-3415	46	34	model	model	NOUN
easat-3415	46	35	.	.	PUNCT
easat-3415	47	1	these	these	DET
easat-3415	47	2	findings	finding	NOUN
easat-3415	47	3	demonstrate	demonstrate	VERB
easat-3415	47	4	the	the	DET
easat-3415	47	5	potential	potential	NOUN
easat-3415	47	6	of	of	ADP
easat-3415	47	7	ctmn	ctmn	NOUN
easat-3415	47	8	as	as	ADP
easat-3415	47	9	a	a	DET
easat-3415	47	10	robust	robust	ADJ
easat-3415	47	11	solution	solution	NOUN
easat-3415	47	12	to	to	ADP
easat-3415	47	13	the	the	DET
easat-3415	47	14	complex	complex	ADJ
easat-3415	47	15	challenges	challenge	NOUN
easat-3415	47	16	of	of	ADP
easat-3415	47	17	signal	signal	NOUN
easat-3415	47	18	strength	strength	NOUN
easat-3415	47	19	prediction	prediction	NOUN
easat-3415	47	20	in	in	ADP
easat-3415	47	21	modern	modern	ADJ
easat-3415	47	22	mobile	mobile	ADJ
easat-3415	47	23	networks	network	NOUN
easat-3415	47	24	,	,	PUNCT
easat-3415	47	25	especially	especially	ADV
easat-3415	47	26	in	in	ADP
easat-3415	47	27	the	the	DET
easat-3415	47	28	5	5	NUM
easat-3415	47	29	g	g	NOUN
easat-3415	47	30	era	era	NOUN
easat-3415	47	31	.	.	PUNCT
easat-3415	48	1	2	2	X
easat-3415	48	2	.	.	X
easat-3415	48	3	dataset	dataset	VERB
easat-3415	48	4	the	the	DET
easat-3415	48	5	dataset	dataset	NOUN
easat-3415	48	6	replicates	replicate	VERB
easat-3415	48	7	the	the	DET
easat-3415	48	8	hardware	hardware	NOUN
easat-3415	48	9	configuration	configuration	NOUN
easat-3415	48	10	using	use	VERB
easat-3415	48	11	a	a	DET
easat-3415	48	12	valve	valve	NOUN
easat-3415	48	13	steam	steam	NOUN
easat-3415	48	14	deck	deck	NOUN
easat-3415	48	15	gaming	gaming	NOUN
easat-3415	48	16	system	system	NOUN
easat-3415	48	17	running	run	VERB
easat-3415	48	18	dragonos	dragono	NOUN
easat-3415	48	19	focal	focal	ADJ
easat-3415	48	20	,	,	PUNCT
easat-3415	48	21	a	a	DET
easat-3415	48	22	bb60c	bb60c	NOUN
easat-3415	48	23	spectrum	spectrum	NOUN
easat-3415	48	24	analyzer	analyzer	NOUN
easat-3415	48	25	powered	power	VERB
easat-3415	48	26	by	by	ADP
easat-3415	48	27	an	an	DET
easat-3415	48	28	external	external	ADJ
easat-3415	48	29	usb3	usb3	ADJ
easat-3415	48	30	hub	hub	NOUN
easat-3415	48	31	,	,	PUNCT
easat-3415	48	32	a	a	DET
easat-3415	48	33	srsran	srsran	NOUN
easat-3415	48	34	software	software	NOUN
easat-3415	48	35	-	-	PUNCT
easat-3415	48	36	defined	define	VERB
easat-3415	48	37	radio	radio	NOUN
easat-3415	48	38	(	(	PUNCT
easat-3415	48	39	sdr	sdr	NOUN
easat-3415	48	40	)	)	PUNCT
easat-3415	48	41	device	device	NOUN
easat-3415	48	42	,	,	PUNCT
easat-3415	48	43	and	and	CCONJ
easat-3415	48	44	a	a	DET
easat-3415	48	45	bladerfxa9	bladerfxa9	NOUN
easat-3415	48	46	software	software	NOUN
easat-3415	48	47	-	-	PUNCT
easat-3415	48	48	defined	define	VERB
easat-3415	48	49	radio	radio	NOUN
easat-3415	48	50	(	(	PUNCT
easat-3415	48	51	sdr	sdr	NOUN
easat-3415	48	52	)	)	PUNCT
easat-3415	48	53	device	device	NOUN
easat-3415	48	54	.	.	PUNCT
easat-3415	49	1	data	datum	NOUN
easat-3415	49	2	collection	collection	NOUN
easat-3415	49	3	was	be	AUX
easat-3415	49	4	performed	perform	VERB
easat-3415	49	5	across	across	ADP
easat-3415	49	6	20	20	NUM
easat-3415	49	7	bihar	bihar	PROPN
easat-3415	49	8	’s	’s	PART
easat-3415	49	9	locations	location	NOUN
easat-3415	49	10	,	,	PUNCT
easat-3415	49	11	with	with	ADP
easat-3415	49	12	measurements	measurement	NOUN
easat-3415	49	13	taken	take	VERB
easat-3415	49	14	every	every	DET
easat-3415	49	15	3	3	NUM
easat-3415	49	16	minutes	minute	NOUN
easat-3415	49	17	and	and	CCONJ
easat-3415	49	18	7	7	NUM
easat-3415	49	19	seconds	second	NOUN
easat-3415	49	20	,	,	PUNCT
easat-3415	49	21	totaling	total	VERB
easat-3415	49	22	1926	1926	NUM
easat-3415	49	23	time	time	NOUN
easat-3415	49	24	periods	period	NOUN
easat-3415	49	25	.	.	PUNCT
easat-3415	50	1	the	the	DET
easat-3415	50	2	dataset	dataset	NOUN
easat-3415	50	3	encompasses	encompass	VERB
easat-3415	50	4	various	various	ADJ
easat-3415	50	5	parameters	parameter	NOUN
easat-3415	50	6	,	,	PUNCT
easat-3415	50	7	including	include	VERB
easat-3415	50	8	timestamp	timestamp	NOUN
easat-3415	50	9	,	,	PUNCT
easat-3415	50	10	6627	6627	NUM
easat-3415	50	11	edelweiss	edelweiss	PROPN
easat-3415	50	12	applied	apply	VERB
easat-3415	50	13	science	science	NOUN
easat-3415	50	14	and	and	CCONJ
easat-3415	50	15	technology	technology	NOUN
easat-3415	50	16	issn	issn	PROPN
easat-3415	50	17	:	:	PUNCT
easat-3415	50	18	2576	2576	NUM
easat-3415	50	19	-	-	SYM
easat-3415	50	20	8484	8484	NUM
easat-3415	50	21	vol	vol	NOUN
easat-3415	50	22	.	.	PROPN
easat-3415	50	23	8	8	NUM
easat-3415	50	24	,	,	PUNCT
easat-3415	50	25	no	no	INTJ
easat-3415	50	26	.	.	NOUN
easat-3415	51	1	6	6	NUM
easat-3415	51	2	:	:	SYM
easat-3415	51	3	6625	6625	NUM
easat-3415	51	4	-	-	SYM
easat-3415	51	5	6643	6643	NUM
easat-3415	51	6	,	,	PUNCT
easat-3415	51	7	2024	2024	NUM
easat-3415	51	8	doi	doi	NOUN
easat-3415	51	9	:	:	PUNCT
easat-3415	51	10	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	51	11	©	©	PROPN
easat-3415	51	12	2024	2024	NUM
easat-3415	51	13	by	by	ADP
easat-3415	51	14	the	the	DET
easat-3415	51	15	author	author	NOUN
easat-3415	51	16	;	;	PUNCT
easat-3415	51	17	licensee	licensee	PROPN
easat-3415	51	18	learning	learning	PROPN
easat-3415	51	19	gate	gate	NOUN
easat-3415	51	20	latitude	latitude	NOUN
easat-3415	51	21	,	,	PUNCT
easat-3415	51	22	longitude	longitude	NOUN
easat-3415	51	23	,	,	PUNCT
easat-3415	51	24	signal	signal	NOUN
easat-3415	51	25	strength	strength	NOUN
easat-3415	51	26	(	(	PUNCT
easat-3415	51	27	dbm	dbm	PROPN
easat-3415	51	28	)	)	PUNCT
easat-3415	51	29	taken	take	VERB
easat-3415	51	30	from	from	ADP
easat-3415	51	31	numerous	numerous	ADJ
easat-3415	51	32	devices	device	NOUN
easat-3415	51	33	of	of	ADP
easat-3415	51	34	the	the	DET
easat-3415	51	35	like	like	INTJ
easat-3415	51	36	of	of	ADP
easat-3415	51	37	bb60c	bb60c	ADV
easat-3415	51	38	,	,	PUNCT
easat-3415	51	39	srsran	srsran	ADJ
easat-3415	51	40	,	,	PUNCT
easat-3415	51	41	as	as	ADV
easat-3415	51	42	well	well	ADV
easat-3415	51	43	as	as	ADP
easat-3415	51	44	the	the	DET
easat-3415	51	45	data	data	NOUN
easat-3415	51	46	throughput	throughput	NOUN
easat-3415	51	47	(	(	PUNCT
easat-3415	51	48	mbps	mbps	NOUN
easat-3415	51	49	)	)	PUNCT
easat-3415	51	50	,	,	PUNCT
easat-3415	51	51	latency	latency	NOUN
easat-3415	51	52	(	(	PUNCT
easat-3415	51	53	ms	ms	NOUN
easat-3415	51	54	)	)	PUNCT
easat-3415	51	55	,	,	PUNCT
easat-3415	51	56	and	and	CCONJ
easat-3415	51	57	network	network	NOUN
easat-3415	51	58	type	type	NOUN
easat-3415	51	59	.	.	PUNCT
easat-3415	52	1	this	this	DET
easat-3415	52	2	dataset	dataset	NOUN
easat-3415	52	3	provides	provide	VERB
easat-3415	52	4	realistic	realistic	ADJ
easat-3415	52	5	signal	signal	NOUN
easat-3415	52	6	metrics	metric	NOUN
easat-3415	52	7	for	for	ADP
easat-3415	52	8	lte	lte	PROPN
easat-3415	52	9	,	,	PUNCT
easat-3415	52	10	3	3	NUM
easat-3415	52	11	g	g	NOUN
easat-3415	52	12	,	,	PUNCT
easat-3415	52	13	4	4	NUM
easat-3415	52	14	g	g	NOUN
easat-3415	52	15	,	,	PUNCT
easat-3415	52	16	and	and	CCONJ
easat-3415	52	17	5	5	NUM
easat-3415	52	18	g	g	NOUN
easat-3415	52	19	,	,	PUNCT
easat-3415	52	20	and	and	CCONJ
easat-3415	52	21	it	it	PRON
easat-3415	52	22	is	be	AUX
easat-3415	52	23	publicly	publicly	ADV
easat-3415	52	24	available	available	ADJ
easat-3415	52	25	on	on	ADP
easat-3415	52	26	kaggle	kaggle	PROPN
easat-3415	52	27	.	.	PUNCT
easat-3415	53	1	3	3	X
easat-3415	53	2	.	.	X
easat-3415	53	3	methodology	methodology	NOUN
easat-3415	53	4	in	in	ADP
easat-3415	53	5	this	this	DET
easat-3415	53	6	section	section	NOUN
easat-3415	53	7	,	,	PUNCT
easat-3415	53	8	we	we	PRON
easat-3415	53	9	begin	begin	VERB
easat-3415	53	10	by	by	ADP
easat-3415	53	11	outlining	outline	VERB
easat-3415	53	12	the	the	DET
easat-3415	53	13	common	common	ADJ
easat-3415	53	14	machine	machine	NOUN
easat-3415	53	15	learning	learning	NOUN
easat-3415	53	16	(	(	PUNCT
easat-3415	53	17	ml	ml	NOUN
easat-3415	53	18	)	)	PUNCT
easat-3415	53	19	methodologies	methodology	NOUN
easat-3415	53	20	used	use	VERB
easat-3415	53	21	for	for	ADP
easat-3415	53	22	modeling	modeling	NOUN
easat-3415	53	23	and	and	CCONJ
easat-3415	53	24	predicting	predict	VERB
easat-3415	53	25	signal	signal	NOUN
easat-3415	53	26	strength	strength	NOUN
easat-3415	53	27	in	in	ADP
easat-3415	53	28	mobile	mobile	ADJ
easat-3415	53	29	networks	network	NOUN
easat-3415	53	30	.	.	PUNCT
easat-3415	54	1	finally	finally	ADV
easat-3415	54	2	,	,	PUNCT
easat-3415	54	3	we	we	PRON
easat-3415	54	4	present	present	VERB
easat-3415	54	5	a	a	DET
easat-3415	54	6	methodology	methodology	NOUN
easat-3415	54	7	for	for	ADP
easat-3415	54	8	the	the	DET
easat-3415	54	9	hybrid	hybrid	NOUN
easat-3415	54	10	model	model	NOUN
easat-3415	54	11	and	and	CCONJ
easat-3415	54	12	conclude	conclude	VERB
easat-3415	54	13	the	the	DET
easat-3415	54	14	study	study	NOUN
easat-3415	54	15	.	.	PUNCT
easat-3415	55	1	3.1	3.1	NUM
easat-3415	55	2	.	.	PUNCT
easat-3415	55	3	models	model	NOUN
easat-3415	55	4	’	'	PUNCT
easat-3415	55	5	prediction	prediction	NOUN
easat-3415	55	6	predicting	predict	VERB
easat-3415	55	7	the	the	DET
easat-3415	55	8	mobile	mobile	ADJ
easat-3415	55	9	network	network	NOUN
easat-3415	55	10	communication	communication	NOUN
easat-3415	55	11	traffic	traffic	NOUN
easat-3415	55	12	in	in	ADP
easat-3415	55	13	terms	term	NOUN
easat-3415	55	14	of	of	ADP
easat-3415	55	15	signal	signal	ADJ
easat-3415	55	16	strength	strength	NOUN
easat-3415	55	17	is	be	AUX
easat-3415	55	18	a	a	DET
easat-3415	55	19	crucial	crucial	ADJ
easat-3415	55	20	element	element	NOUN
easat-3415	55	21	in	in	ADP
easat-3415	55	22	maintaining	maintain	VERB
easat-3415	55	23	optimal	optimal	ADJ
easat-3415	55	24	network	network	NOUN
easat-3415	55	25	performance	performance	NOUN
easat-3415	55	26	and	and	CCONJ
easat-3415	55	27	ensuring	ensure	VERB
easat-3415	55	28	user	user	NOUN
easat-3415	55	29	satisfaction	satisfaction	NOUN
easat-3415	55	30	.	.	PUNCT
easat-3415	56	1	accurate	accurate	ADJ
easat-3415	56	2	signal	signal	NOUN
easat-3415	56	3	strength	strength	NOUN
easat-3415	56	4	predictions	prediction	NOUN
easat-3415	56	5	enable	enable	VERB
easat-3415	56	6	network	network	NOUN
easat-3415	56	7	operators	operator	NOUN
easat-3415	56	8	to	to	PART
easat-3415	56	9	proactively	proactively	ADV
easat-3415	56	10	manage	manage	VERB
easat-3415	56	11	and	and	CCONJ
easat-3415	56	12	optimize	optimize	VERB
easat-3415	56	13	their	their	PRON
easat-3415	56	14	networks	network	NOUN
easat-3415	56	15	,	,	PUNCT
easat-3415	56	16	ensuring	ensure	VERB
easat-3415	56	17	that	that	SCONJ
easat-3415	56	18	users	user	NOUN
easat-3415	56	19	enjoy	enjoy	VERB
easat-3415	56	20	reliable	reliable	ADJ
easat-3415	56	21	connectivity	connectivity	NOUN
easat-3415	56	22	and	and	CCONJ
easat-3415	56	23	high	high	ADJ
easat-3415	56	24	-	-	PUNCT
easat-3415	56	25	quality	quality	NOUN
easat-3415	56	26	service	service	NOUN
easat-3415	56	27	.	.	PUNCT
easat-3415	57	1	signal	signal	PROPN
easat-3415	57	2	strength	strength	NOUN
easat-3415	57	3	,	,	PUNCT
easat-3415	57	4	typically	typically	ADV
easat-3415	57	5	measured	measure	VERB
easat-3415	57	6	in	in	ADP
easat-3415	57	7	decibels	decibel	NOUN
easat-3415	57	8	(	(	PUNCT
easat-3415	57	9	dbm	dbm	PROPN
easat-3415	57	10	)	)	PUNCT
easat-3415	57	11	,	,	PUNCT
easat-3415	57	12	is	be	AUX
easat-3415	57	13	a	a	DET
easat-3415	57	14	key	key	ADJ
easat-3415	57	15	indicator	indicator	NOUN
easat-3415	57	16	of	of	ADP
easat-3415	57	17	the	the	DET
easat-3415	57	18	connection	connection	NOUN
easat-3415	57	19	quality	quality	NOUN
easat-3415	57	20	between	between	ADP
easat-3415	57	21	a	a	DET
easat-3415	57	22	mobile	mobile	ADJ
easat-3415	57	23	device	device	NOUN
easat-3415	57	24	and	and	CCONJ
easat-3415	57	25	the	the	DET
easat-3415	57	26	base	base	NOUN
easat-3415	57	27	station	station	NOUN
easat-3415	57	28	of	of	ADP
easat-3415	57	29	the	the	DET
easat-3415	57	30	network	network	NOUN
easat-3415	57	31	.	.	PUNCT
easat-3415	58	1	it	it	PRON
easat-3415	58	2	directly	directly	ADV
easat-3415	58	3	affects	affect	VERB
easat-3415	58	4	data	datum	NOUN
easat-3415	58	5	throughput	throughput	NOUN
easat-3415	58	6	,	,	PUNCT
easat-3415	58	7	quality	quality	NOUN
easat-3415	58	8	of	of	ADP
easat-3415	58	9	communication	communication	NOUN
easat-3415	58	10	,	,	PUNCT
easat-3415	58	11	and	and	CCONJ
easat-3415	58	12	user	user	NOUN
easat-3415	58	13	experience	experience	NOUN
easat-3415	58	14	.	.	PUNCT
easat-3415	59	1	by	by	ADP
easat-3415	59	2	accurately	accurately	ADV
easat-3415	59	3	predicting	predict	VERB
easat-3415	59	4	the	the	DET
easat-3415	59	5	signal	signal	NOUN
easat-3415	59	6	strength	strength	NOUN
easat-3415	59	7	,	,	PUNCT
easat-3415	59	8	mobile	mobile	ADJ
easat-3415	59	9	network	network	NOUN
easat-3415	59	10	specialists	specialist	NOUN
easat-3415	59	11	can	can	AUX
easat-3415	59	12	further	far	ADV
easat-3415	59	13	network	network	NOUN
easat-3415	59	14	capacity	capacity	NOUN
easat-3415	59	15	,	,	PUNCT
easat-3415	59	16	increase	increase	VERB
easat-3415	59	17	user	user	NOUN
easat-3415	59	18	experience	experience	NOUN
easat-3415	59	19	,	,	PUNCT
easat-3415	59	20	plan	plan	VERB
easat-3415	59	21	network	network	NOUN
easat-3415	59	22	expansions	expansion	NOUN
easat-3415	59	23	,	,	PUNCT
easat-3415	59	24	and	and	CCONJ
easat-3415	59	25	improve	improve	VERB
easat-3415	59	26	capacity	capacity	NOUN
easat-3415	59	27	management	management	NOUN
easat-3415	59	28	.	.	PUNCT
easat-3415	60	1	this	this	DET
easat-3415	60	2	process	process	NOUN
easat-3415	60	3	can	can	AUX
easat-3415	60	4	be	be	AUX
easat-3415	60	5	effectively	effectively	ADV
easat-3415	60	6	accomplished	accomplish	VERB
easat-3415	60	7	through	through	ADP
easat-3415	60	8	ml	ml	ADP
easat-3415	60	9	,	,	PUNCT
easat-3415	60	10	a	a	DET
easat-3415	60	11	branch	branch	NOUN
easat-3415	60	12	of	of	ADP
easat-3415	60	13	artificial	artificial	ADJ
easat-3415	60	14	intelligence	intelligence	NOUN
easat-3415	60	15	(	(	PUNCT
easat-3415	60	16	ai	ai	NOUN
easat-3415	60	17	)	)	PUNCT
easat-3415	60	18	focuses	focus	VERB
easat-3415	60	19	on	on	ADP
easat-3415	60	20	the	the	DET
easat-3415	60	21	use	use	NOUN
easat-3415	60	22	of	of	ADP
easat-3415	60	23	algorithms	algorithm	NOUN
easat-3415	60	24	and	and	CCONJ
easat-3415	60	25	data	datum	NOUN
easat-3415	60	26	analysis	analysis	NOUN
easat-3415	60	27	.	.	PUNCT
easat-3415	61	1	recently	recently	ADV
easat-3415	61	2	,	,	PUNCT
easat-3415	61	3	ml	ml	VERB
easat-3415	61	4	has	have	AUX
easat-3415	61	5	become	become	VERB
easat-3415	61	6	more	more	ADV
easat-3415	61	7	popular	popular	ADJ
easat-3415	61	8	in	in	ADP
easat-3415	61	9	mobile	mobile	ADJ
easat-3415	61	10	network	network	NOUN
easat-3415	61	11	applications	application	NOUN
easat-3415	61	12	[	[	X
easat-3415	61	13	20	20	NUM
easat-3415	61	14	]	]	PUNCT
easat-3415	61	15	,	,	PUNCT
easat-3415	61	16	[	[	X
easat-3415	61	17	21	21	NUM
easat-3415	61	18	]	]	PUNCT
easat-3415	61	19	,	,	PUNCT
easat-3415	61	20	proving	prove	VERB
easat-3415	61	21	to	to	PART
easat-3415	61	22	be	be	AUX
easat-3415	61	23	more	more	ADV
easat-3415	61	24	adept	adept	ADJ
easat-3415	61	25	than	than	ADP
easat-3415	61	26	traditional	traditional	ADJ
easat-3415	61	27	deterministic	deterministic	ADJ
easat-3415	61	28	prediction	prediction	NOUN
easat-3415	61	29	models	model	NOUN
easat-3415	61	30	for	for	ADP
easat-3415	61	31	handling	handle	VERB
easat-3415	61	32	complex	complex	ADJ
easat-3415	61	33	data	datum	NOUN
easat-3415	61	34	[	[	X
easat-3415	61	35	22	22	NUM
easat-3415	61	36	]	]	X
easat-3415	62	1	[	[	X
easat-3415	62	2	26	26	NUM
easat-3415	62	3	]	]	PUNCT
easat-3415	62	4	.	.	PUNCT
easat-3415	63	1	signal	signal	PROPN
easat-3415	63	2	strength	strength	NOUN
easat-3415	63	3	prediction	prediction	NOUN
easat-3415	63	4	in	in	ADP
easat-3415	63	5	mobile	mobile	ADJ
easat-3415	63	6	networks	network	NOUN
easat-3415	63	7	can	can	AUX
easat-3415	63	8	be	be	AUX
easat-3415	63	9	approached	approach	VERB
easat-3415	63	10	through	through	ADP
easat-3415	63	11	three	three	NUM
easat-3415	63	12	primary	primary	ADJ
easat-3415	63	13	ml	ml	NOUN
easat-3415	63	14	techniques	technique	NOUN
easat-3415	63	15	:	:	PUNCT
easat-3415	63	16	classical	classical	ADJ
easat-3415	63	17	machine	machine	NOUN
easat-3415	63	18	learning	learning	NOUN
easat-3415	63	19	,	,	PUNCT
easat-3415	63	20	time	time	NOUN
easat-3415	63	21	series	series	NOUN
easat-3415	63	22	methods	method	NOUN
easat-3415	63	23	,	,	PUNCT
easat-3415	63	24	and	and	CCONJ
easat-3415	63	25	hybrid	hybrid	NOUN
easat-3415	63	26	models	model	NOUN
easat-3415	63	27	,	,	PUNCT
easat-3415	63	28	each	each	PRON
easat-3415	63	29	offering	offer	VERB
easat-3415	63	30	unique	unique	ADJ
easat-3415	63	31	strengths	strength	NOUN
easat-3415	63	32	for	for	ADP
easat-3415	63	33	different	different	ADJ
easat-3415	63	34	types	type	NOUN
easat-3415	63	35	of	of	ADP
easat-3415	63	36	data	datum	NOUN
easat-3415	63	37	and	and	CCONJ
easat-3415	63	38	prediction	prediction	NOUN
easat-3415	63	39	challenges	challenge	NOUN
easat-3415	63	40	.	.	PUNCT
easat-3415	64	1	3.1.1	3.1.1	X
easat-3415	64	2	.	.	PUNCT
easat-3415	64	3	classical	classical	ADJ
easat-3415	64	4	machine	machine	NOUN
easat-3415	64	5	learning	learn	VERB
easat-3415	64	6	classical	classical	ADJ
easat-3415	64	7	machine	machine	NOUN
easat-3415	64	8	learning	learning	NOUN
easat-3415	64	9	refers	refer	VERB
easat-3415	64	10	to	to	ADP
easat-3415	64	11	a	a	DET
easat-3415	64	12	set	set	NOUN
easat-3415	64	13	of	of	ADP
easat-3415	64	14	foundational	foundational	ADJ
easat-3415	64	15	algorithms	algorithm	NOUN
easat-3415	64	16	and	and	CCONJ
easat-3415	64	17	techniques	technique	NOUN
easat-3415	64	18	that	that	PRON
easat-3415	64	19	have	have	AUX
easat-3415	64	20	been	be	AUX
easat-3415	64	21	widely	widely	ADV
easat-3415	64	22	used	use	VERB
easat-3415	64	23	in	in	ADP
easat-3415	64	24	artificial	artificial	ADJ
easat-3415	64	25	intelligence	intelligence	NOUN
easat-3415	64	26	(	(	PUNCT
easat-3415	64	27	ai	ai	NOUN
easat-3415	64	28	)	)	PUNCT
easat-3415	64	29	and	and	CCONJ
easat-3415	64	30	data	datum	NOUN
easat-3415	64	31	computation	computation	NOUN
easat-3415	64	32	for	for	ADP
easat-3415	64	33	decades	decade	NOUN
easat-3415	64	34	.	.	PUNCT
easat-3415	65	1	these	these	DET
easat-3415	65	2	algorithms	algorithm	NOUN
easat-3415	65	3	serve	serve	VERB
easat-3415	65	4	as	as	ADP
easat-3415	65	5	the	the	DET
easat-3415	65	6	foundation	foundation	NOUN
easat-3415	65	7	for	for	ADP
easat-3415	65	8	various	various	ADJ
easat-3415	65	9	predictive	predictive	ADJ
easat-3415	65	10	modeling	modeling	NOUN
easat-3415	65	11	tasks	task	NOUN
easat-3415	65	12	,	,	PUNCT
easat-3415	65	13	including	include	VERB
easat-3415	65	14	regression	regression	NOUN
easat-3415	65	15	,	,	PUNCT
easat-3415	65	16	classification	classification	NOUN
easat-3415	65	17	,	,	PUNCT
easat-3415	65	18	clustering	clustering	NOUN
easat-3415	65	19	,	,	PUNCT
easat-3415	65	20	and	and	CCONJ
easat-3415	65	21	dimensionality	dimensionality	NOUN
easat-3415	65	22	reduction	reduction	NOUN
easat-3415	65	23	.	.	PUNCT
easat-3415	66	1	classical	classical	ADJ
easat-3415	66	2	machine	machine	NOUN
easat-3415	66	3	learning	learn	VERB
easat-3415	66	4	techniques	technique	NOUN
easat-3415	66	5	are	be	AUX
easat-3415	66	6	often	often	ADV
easat-3415	66	7	contrasted	contrast	VERB
easat-3415	66	8	with	with	ADP
easat-3415	66	9	more	more	ADJ
easat-3415	66	10	modern	modern	ADJ
easat-3415	66	11	approaches	approach	NOUN
easat-3415	66	12	such	such	ADJ
easat-3415	66	13	as	as	ADP
easat-3415	66	14	deep	deep	ADJ
easat-3415	66	15	learning	learning	NOUN
easat-3415	66	16	,	,	PUNCT
easat-3415	66	17	which	which	PRON
easat-3415	66	18	relies	rely	VERB
easat-3415	66	19	on	on	ADP
easat-3415	66	20	neural	neural	ADJ
easat-3415	66	21	networks	network	NOUN
easat-3415	66	22	with	with	ADP
easat-3415	66	23	many	many	ADJ
easat-3415	66	24	layers	layer	NOUN
easat-3415	66	25	.	.	PUNCT
easat-3415	67	1	these	these	DET
easat-3415	67	2	models	model	NOUN
easat-3415	67	3	are	be	AUX
easat-3415	67	4	not	not	PART
easat-3415	67	5	fundamentally	fundamentally	ADV
easat-3415	67	6	designed	design	VERB
easat-3415	67	7	to	to	PART
easat-3415	67	8	handle	handle	VERB
easat-3415	67	9	time	time	NOUN
easat-3415	67	10	-	-	PUNCT
easat-3415	67	11	based	base	VERB
easat-3415	67	12	dependencies	dependency	NOUN
easat-3415	67	13	,	,	PUNCT
easat-3415	67	14	which	which	PRON
easat-3415	67	15	are	be	AUX
easat-3415	67	16	key	key	ADJ
easat-3415	67	17	aspects	aspect	NOUN
easat-3415	67	18	of	of	ADP
easat-3415	67	19	time	time	NOUN
easat-3415	67	20	series	series	PROPN
easat-3415	67	21	data	data	PROPN
easat-3415	67	22	.	.	PUNCT
easat-3415	68	1	many	many	ADJ
easat-3415	68	2	traditional	traditional	ADJ
easat-3415	68	3	machine	machine	NOUN
easat-3415	68	4	learning	learning	NOUN
easat-3415	68	5	methods	method	NOUN
easat-3415	68	6	have	have	AUX
easat-3415	68	7	been	be	AUX
easat-3415	68	8	employed	employ	VERB
easat-3415	68	9	,	,	PUNCT
easat-3415	68	10	including	include	VERB
easat-3415	68	11	logistic	logistic	ADJ
easat-3415	68	12	regression	regression	NOUN
easat-3415	68	13	,	,	PUNCT
easat-3415	68	14	random	random	ADJ
easat-3415	68	15	forests	forest	NOUN
easat-3415	68	16	,	,	PUNCT
easat-3415	68	17	decision	decision	NOUN
easat-3415	68	18	trees	tree	NOUN
easat-3415	68	19	,	,	PUNCT
easat-3415	68	20	support	support	NOUN
easat-3415	68	21	vector	vector	NOUN
easat-3415	68	22	machines	machine	NOUN
easat-3415	68	23	(	(	PUNCT
easat-3415	68	24	svm	svm	PROPN
easat-3415	68	25	)	)	PUNCT
easat-3415	68	26	,	,	PUNCT
easat-3415	68	27	and	and	CCONJ
easat-3415	68	28	linear	linear	ADJ
easat-3415	68	29	regression	regression	NOUN
easat-3415	68	30	.	.	PUNCT
easat-3415	69	1	3.1.1.1	3.1.1.1	X
easat-3415	69	2	.	.	X
easat-3415	69	3	decision	decision	NOUN
easat-3415	69	4	tree	tree	NOUN
easat-3415	69	5	decision	decision	NOUN
easat-3415	69	6	trees	tree	NOUN
easat-3415	69	7	are	be	AUX
easat-3415	69	8	fundamental	fundamental	ADJ
easat-3415	69	9	techniques	technique	NOUN
easat-3415	69	10	used	use	VERB
easat-3415	69	11	in	in	ADP
easat-3415	69	12	classical	classical	ADJ
easat-3415	69	13	ml	ml	NOUN
easat-3415	69	14	for	for	ADP
easat-3415	69	15	classification	classification	NOUN
easat-3415	69	16	and	and	CCONJ
easat-3415	69	17	regression	regression	NOUN
easat-3415	69	18	assignments	assignment	NOUN
easat-3415	69	19	.	.	PUNCT
easat-3415	70	1	they	they	PRON
easat-3415	70	2	operate	operate	VERB
easat-3415	70	3	by	by	ADP
easat-3415	70	4	sequentially	sequentially	ADV
easat-3415	70	5	dividing	divide	VERB
easat-3415	70	6	data	datum	NOUN
easat-3415	70	7	into	into	ADP
easat-3415	70	8	subgroups	subgroup	NOUN
easat-3415	70	9	founded	found	VERB
easat-3415	70	10	on	on	ADP
easat-3415	70	11	feature	feature	NOUN
easat-3415	70	12	values	value	NOUN
easat-3415	70	13	,	,	PUNCT
easat-3415	70	14	creating	create	VERB
easat-3415	70	15	a	a	DET
easat-3415	70	16	model	model	NOUN
easat-3415	70	17	of	of	ADP
easat-3415	70	18	outcomes	outcome	NOUN
easat-3415	70	19	and	and	CCONJ
easat-3415	70	20	their	their	PRON
easat-3415	70	21	potential	potential	ADJ
easat-3415	70	22	effects	effect	NOUN
easat-3415	70	23	that	that	PRON
easat-3415	70	24	resemble	resemble	VERB
easat-3415	70	25	a	a	DET
easat-3415	70	26	tree	tree	NOUN
easat-3415	70	27	.	.	PUNCT
easat-3415	71	1	the	the	DET
easat-3415	71	2	construction	construction	NOUN
easat-3415	71	3	of	of	ADP
easat-3415	71	4	a	a	DET
easat-3415	71	5	decision	decision	NOUN
easat-3415	71	6	tree	tree	NOUN
easat-3415	71	7	involves	involve	VERB
easat-3415	71	8	choosing	choose	VERB
easat-3415	71	9	the	the	DET
easat-3415	71	10	best	good	ADJ
easat-3415	71	11	feature	feature	NOUN
easat-3415	71	12	at	at	ADP
easat-3415	71	13	each	each	DET
easat-3415	71	14	node	node	NOUN
easat-3415	71	15	to	to	PART
easat-3415	71	16	split	split	VERB
easat-3415	71	17	the	the	DET
easat-3415	71	18	data	datum	NOUN
easat-3415	71	19	,	,	PUNCT
easat-3415	71	20	which	which	PRON
easat-3415	71	21	is	be	AUX
easat-3415	71	22	performed	perform	VERB
easat-3415	71	23	by	by	ADP
easat-3415	71	24	minimizing	minimize	VERB
easat-3415	71	25	the	the	DET
easat-3415	71	26	impurity	impurity	NOUN
easat-3415	71	27	or	or	CCONJ
easat-3415	71	28	maximizing	maximize	VERB
easat-3415	71	29	the	the	DET
easat-3415	71	30	information	information	NOUN
easat-3415	71	31	gain	gain	NOUN
easat-3415	71	32	.	.	PUNCT
easat-3415	72	1	the	the	DET
easat-3415	72	2	most	most	ADV
easat-3415	72	3	common	common	ADJ
easat-3415	72	4	impurities	impurity	NOUN
easat-3415	72	5	used	use	VERB
easat-3415	72	6	are	be	AUX
easat-3415	72	7	gini	gini	NOUN
easat-3415	72	8	impurity	impurity	NOUN
easat-3415	72	9	,	,	PUNCT
easat-3415	72	10	and	and	CCONJ
easat-3415	72	11	entropy	entropy	NOUN
easat-3415	72	12	.	.	PUNCT
easat-3415	73	1	3.1.1.2	3.1.1.2	X
easat-3415	73	2	.	.	PUNCT
easat-3415	73	3	logistic	logistic	ADJ
easat-3415	73	4	regression	regression	NOUN
easat-3415	73	5	logistic	logistic	ADJ
easat-3415	73	6	regression	regression	NOUN
easat-3415	73	7	(	(	PUNCT
easat-3415	73	8	lr	lr	NOUN
easat-3415	73	9	)	)	PUNCT
easat-3415	73	10	is	be	AUX
easat-3415	73	11	a	a	DET
easat-3415	73	12	foundational	foundational	ADJ
easat-3415	73	13	machine	machine	NOUN
easat-3415	73	14	learning	learn	VERB
easat-3415	73	15	algorithm	algorithm	NOUN
easat-3415	73	16	commonly	commonly	ADV
easat-3415	73	17	applied	apply	VERB
easat-3415	73	18	to	to	ADP
easat-3415	73	19	binary	binary	ADJ
easat-3415	73	20	classification	classification	NOUN
easat-3415	73	21	applications	application	NOUN
easat-3415	73	22	.	.	PUNCT
easat-3415	74	1	regardless	regardless	ADV
easat-3415	74	2	of	of	ADP
easat-3415	74	3	the	the	DET
easat-3415	74	4	denomination	denomination	NOUN
easat-3415	74	5	suggesting	suggest	VERB
easat-3415	74	6	regression	regression	NOUN
easat-3415	74	7	,	,	PUNCT
easat-3415	74	8	lr	lr	X
easat-3415	74	9	is	be	AUX
easat-3415	74	10	a	a	DET
easat-3415	74	11	classification	classification	NOUN
easat-3415	74	12	technique	technique	NOUN
easat-3415	74	13	.	.	PUNCT
easat-3415	75	1	it	it	PRON
easat-3415	75	2	works	work	VERB
easat-3415	75	3	by	by	ADP
easat-3415	75	4	approximating	approximate	VERB
easat-3415	75	5	the	the	DET
easat-3415	75	6	probability	probability	NOUN
easat-3415	75	7	that	that	SCONJ
easat-3415	75	8	a	a	DET
easat-3415	75	9	known	know	VERB
easat-3415	75	10	input	input	NOUN
easat-3415	75	11	fits	fit	VERB
easat-3415	75	12	into	into	ADP
easat-3415	75	13	a	a	DET
easat-3415	75	14	particular	particular	ADJ
easat-3415	75	15	class	class	NOUN
easat-3415	75	16	,	,	PUNCT
easat-3415	75	17	typically	typically	ADV
easat-3415	75	18	represented	represent	VERB
easat-3415	75	19	as	as	ADP
easat-3415	75	20	binary	binary	ADJ
easat-3415	75	21	outcomes	outcome	NOUN
easat-3415	75	22	such	such	ADJ
easat-3415	75	23	as	as	ADP
easat-3415	75	24	1	1	NUM
easat-3415	75	25	or	or	CCONJ
easat-3415	75	26	0	0	NUM
easat-3415	75	27	,	,	PUNCT
easat-3415	75	28	yes	yes	INTJ
easat-3415	75	29	or	or	CCONJ
easat-3415	75	30	no	no	NOUN
easat-3415	75	31	,	,	PUNCT
easat-3415	75	32	or	or	CCONJ
easat-3415	75	33	true	true	ADJ
easat-3415	75	34	or	or	CCONJ
easat-3415	75	35	false	false	ADJ
easat-3415	75	36	.	.	PUNCT
easat-3415	76	1	the	the	DET
easat-3415	76	2	algorithm	algorithm	NOUN
easat-3415	76	3	completes	complete	VERB
easat-3415	76	4	this	this	PRON
easat-3415	76	5	by	by	ADP
easat-3415	76	6	using	use	VERB
easat-3415	76	7	a	a	DET
easat-3415	76	8	logistic	logistic	NOUN
easat-3415	76	9	(	(	PUNCT
easat-3415	76	10	or	or	CCONJ
easat-3415	76	11	sigmoid	sigmoid	NOUN
easat-3415	76	12	)	)	PUNCT
easat-3415	76	13	code	code	NOUN
easat-3415	76	14	to	to	ADP
easat-3415	76	15	a	a	DET
easat-3415	76	16	linear	linear	ADJ
easat-3415	76	17	combination	combination	NOUN
easat-3415	76	18	of	of	ADP
easat-3415	76	19	the	the	DET
easat-3415	76	20	input	input	NOUN
easat-3415	76	21	features	feature	NOUN
easat-3415	76	22	,	,	PUNCT
easat-3415	76	23	converting	convert	VERB
easat-3415	76	24	the	the	DET
easat-3415	76	25	result	result	NOUN
easat-3415	76	26	into	into	ADP
easat-3415	76	27	a	a	DET
easat-3415	76	28	probability	probability	NOUN
easat-3415	76	29	score	score	NOUN
easat-3415	76	30	.	.	PUNCT
easat-3415	77	1	the	the	DET
easat-3415	77	2	process	process	NOUN
easat-3415	77	3	starts	start	VERB
easat-3415	77	4	by	by	ADP
easat-3415	77	5	calculating	calculate	VERB
easat-3415	77	6	a	a	DET
easat-3415	77	7	linear	linear	ADJ
easat-3415	77	8	combination	combination	NOUN
easat-3415	77	9	of	of	ADP
easat-3415	77	10	6628	6628	NUM
easat-3415	77	11	edelweiss	edelweiss	PROPN
easat-3415	77	12	applied	apply	VERB
easat-3415	77	13	science	science	NOUN
easat-3415	77	14	and	and	CCONJ
easat-3415	77	15	technology	technology	NOUN
easat-3415	77	16	issn	issn	PROPN
easat-3415	77	17	:	:	PUNCT
easat-3415	77	18	2576	2576	NUM
easat-3415	77	19	-	-	SYM
easat-3415	77	20	8484	8484	NUM
easat-3415	77	21	vol	vol	NOUN
easat-3415	77	22	.	.	PROPN
easat-3415	78	1	8	8	NUM
easat-3415	78	2	,	,	PUNCT
easat-3415	78	3	no	no	INTJ
easat-3415	78	4	.	.	NOUN
easat-3415	79	1	6	6	NUM
easat-3415	79	2	:	:	SYM
easat-3415	79	3	6625	6625	NUM
easat-3415	79	4	-	-	SYM
easat-3415	79	5	6643	6643	NUM
easat-3415	79	6	,	,	PUNCT
easat-3415	79	7	2024	2024	NUM
easat-3415	79	8	doi	doi	NOUN
easat-3415	79	9	:	:	PUNCT
easat-3415	79	10	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	79	11	©	©	PROPN
easat-3415	79	12	2024	2024	NUM
easat-3415	79	13	by	by	ADP
easat-3415	79	14	the	the	DET
easat-3415	79	15	author	author	NOUN
easat-3415	79	16	;	;	PUNCT
easat-3415	79	17	licensee	licensee	PROPN
easat-3415	79	18	learning	learning	NOUN
easat-3415	79	19	gate	gate	VERB
easat-3415	79	20	the	the	DET
easat-3415	79	21	input	input	NOUN
easat-3415	79	22	features	feature	NOUN
easat-3415	79	23	,	,	PUNCT
easat-3415	79	24	which	which	PRON
easat-3415	79	25	is	be	AUX
easat-3415	79	26	then	then	ADV
easat-3415	79	27	passed	pass	VERB
easat-3415	79	28	through	through	ADP
easat-3415	79	29	a	a	DET
easat-3415	79	30	sigmoid	sigmoid	NOUN
easat-3415	79	31	function	function	NOUN
easat-3415	79	32	to	to	PART
easat-3415	79	33	predict	predict	VERB
easat-3415	79	34	the	the	DET
easat-3415	79	35	likelihood	likelihood	NOUN
easat-3415	79	36	of	of	ADP
easat-3415	79	37	an	an	DET
easat-3415	79	38	input	input	NOUN
easat-3415	79	39	being	be	AUX
easat-3415	79	40	classified	classify	VERB
easat-3415	79	41	into	into	ADP
easat-3415	79	42	a	a	DET
easat-3415	79	43	specific	specific	ADJ
easat-3415	79	44	category	category	NOUN
easat-3415	79	45	.	.	PUNCT
easat-3415	80	1	𝑧	𝑧	PRON
easat-3415	80	2	=	=	PUNCT
easat-3415	80	3	β0	β0	NOUN
easat-3415	81	1	+	+	CCONJ
easat-3415	81	2	β1𝑥1	β1𝑥1	PROPN
easat-3415	81	3	+	+	CCONJ
easat-3415	81	4	β2𝑥2	β2𝑥2	PUNCT
easat-3415	81	5	+	+	CCONJ
easat-3415	81	6	⋯	⋯	VERB
easat-3415	81	7	+	+	NOUN
easat-3415	81	8	β𝑛𝑥𝑛	β𝑛𝑥𝑛	ADJ
easat-3415	81	9	(	(	PUNCT
easat-3415	81	10	1	1	X
easat-3415	81	11	)	)	PUNCT
easat-3415	81	12	where	where	SCONJ
easat-3415	81	13	xi	xi	PROPN
easat-3415	81	14	is	be	AUX
easat-3415	81	15	the	the	DET
easat-3415	81	16	feature	feature	NOUN
easat-3415	81	17	values	value	NOUN
easat-3415	81	18	,	,	PUNCT
easat-3415	81	19	βi	βi	PRON
easat-3415	81	20	is	be	AUX
easat-3415	81	21	the	the	DET
easat-3415	81	22	coefficient	coefficient	NOUN
easat-3415	81	23	of	of	ADP
easat-3415	81	24	the	the	DET
easat-3415	81	25	features	feature	NOUN
easat-3415	81	26	,	,	PUNCT
easat-3415	81	27	and	and	CCONJ
easat-3415	81	28	β0	β0	NOUN
easat-3415	81	29	is	be	AUX
easat-3415	81	30	the	the	DET
easat-3415	81	31	intercept	intercept	NOUN
easat-3415	81	32	.	.	PUNCT
easat-3415	82	1	the	the	DET
easat-3415	82	2	output	output	NOUN
easat-3415	82	3	z	z	PROPN
easat-3415	82	4	is	be	AUX
easat-3415	82	5	transformed	transform	VERB
easat-3415	82	6	into	into	ADP
easat-3415	82	7	a	a	DET
easat-3415	82	8	probability	probability	NOUN
easat-3415	82	9	using	use	VERB
easat-3415	82	10	the	the	DET
easat-3415	82	11	sigmoid	sigmoid	NOUN
easat-3415	82	12	function	function	NOUN
easat-3415	82	13	:	:	PUNCT
easat-3415	82	14	σ(z	σ(z	X
easat-3415	82	15	)	)	PUNCT
easat-3415	82	16	=	=	SYM
easat-3415	83	1	1	1	NUM
easat-3415	83	2	1	1	NUM
easat-3415	83	3	+	+	NUM
easat-3415	83	4	𝑒−𝑧	𝑒−𝑧	PROPN
easat-3415	83	5	(	(	PUNCT
easat-3415	83	6	2	2	NUM
easat-3415	83	7	)	)	PUNCT
easat-3415	83	8	the	the	DET
easat-3415	83	9	sigmoid	sigmoid	NOUN
easat-3415	83	10	function	function	NOUN
easat-3415	83	11	converts	convert	VERB
easat-3415	83	12	any	any	DET
easat-3415	83	13	real	real	ADV
easat-3415	83	14	-	-	PUNCT
easat-3415	83	15	valued	value	VERB
easat-3415	83	16	number	number	NOUN
easat-3415	83	17	into	into	ADP
easat-3415	83	18	a	a	DET
easat-3415	83	19	value	value	NOUN
easat-3415	83	20	between	between	ADP
easat-3415	83	21	0	0	NUM
easat-3415	83	22	and	and	CCONJ
easat-3415	83	23	1	1	NUM
easat-3415	83	24	,	,	PUNCT
easat-3415	83	25	which	which	PRON
easat-3415	83	26	represents	represent	VERB
easat-3415	83	27	the	the	DET
easat-3415	83	28	probability	probability	NOUN
easat-3415	83	29	that	that	SCONJ
easat-3415	83	30	a	a	DET
easat-3415	83	31	given	give	VERB
easat-3415	83	32	instance	instance	NOUN
easat-3415	83	33	belongs	belong	VERB
easat-3415	83	34	to	to	ADP
easat-3415	83	35	the	the	DET
easat-3415	83	36	positive	positive	ADJ
easat-3415	83	37	class	class	NOUN
easat-3415	83	38	.	.	PUNCT
easat-3415	84	1	when	when	SCONJ
easat-3415	84	2	the	the	DET
easat-3415	84	3	output	output	NOUN
easat-3415	84	4	of	of	ADP
easat-3415	84	5	the	the	DET
easat-3415	84	6	sigmoid	sigmoid	NOUN
easat-3415	84	7	function	function	NOUN
easat-3415	84	8	is	be	AUX
easat-3415	84	9	0.5	0.5	NUM
easat-3415	84	10	,	,	PUNCT
easat-3415	84	11	the	the	DET
easat-3415	84	12	instance	instance	NOUN
easat-3415	84	13	is	be	AUX
easat-3415	84	14	assigned	assign	VERB
easat-3415	84	15	to	to	ADP
easat-3415	84	16	positive	positive	ADJ
easat-3415	84	17	class	class	NOUN
easat-3415	84	18	(	(	PUNCT
easat-3415	84	19	1	1	NUM
easat-3415	84	20	)	)	PUNCT
easat-3415	84	21	.	.	PUNCT
easat-3415	85	1	if	if	SCONJ
easat-3415	85	2	the	the	DET
easat-3415	85	3	output	output	NOUN
easat-3415	85	4	is	be	AUX
easat-3415	85	5	less	less	ADJ
easat-3415	85	6	than	than	ADP
easat-3415	85	7	0.5	0.5	NUM
easat-3415	85	8	,	,	PUNCT
easat-3415	85	9	the	the	DET
easat-3415	85	10	instance	instance	NOUN
easat-3415	85	11	is	be	AUX
easat-3415	85	12	assigned	assign	VERB
easat-3415	85	13	to	to	ADP
easat-3415	85	14	the	the	DET
easat-3415	85	15	negative	negative	ADJ
easat-3415	85	16	class	class	NOUN
easat-3415	85	17	(	(	PUNCT
easat-3415	85	18	0	0	NUM
easat-3415	85	19	)	)	PUNCT
easat-3415	85	20	.	.	PUNCT
easat-3415	86	1	3.1.1.3	3.1.1.3	NUM
easat-3415	86	2	.	.	PUNCT
easat-3415	87	1	linear	linear	PROPN
easat-3415	87	2	regression	regression	NOUN
easat-3415	87	3	linear	linear	PROPN
easat-3415	87	4	regression	regression	NOUN
easat-3415	87	5	was	be	AUX
easat-3415	87	6	used	use	VERB
easat-3415	87	7	to	to	PART
easat-3415	87	8	predict	predict	VERB
easat-3415	87	9	a	a	DET
easat-3415	87	10	continuous	continuous	ADJ
easat-3415	87	11	dependent	dependent	ADJ
easat-3415	87	12	variable	variable	NOUN
easat-3415	87	13	using	use	VERB
easat-3415	87	14	one	one	NUM
easat-3415	87	15	or	or	CCONJ
easat-3415	87	16	more	more	ADV
easat-3415	87	17	independent	independent	ADJ
easat-3415	87	18	variables	variable	NOUN
easat-3415	87	19	.	.	PUNCT
easat-3415	88	1	it	it	PRON
easat-3415	88	2	assumes	assume	VERB
easat-3415	88	3	a	a	DET
easat-3415	88	4	linear	linear	ADJ
easat-3415	88	5	correlation	correlation	NOUN
easat-3415	88	6	between	between	ADP
easat-3415	88	7	the	the	DET
easat-3415	88	8	dependent	dependent	ADJ
easat-3415	88	9	variable	variable	NOUN
easat-3415	88	10	z	z	NOUN
easat-3415	88	11	and	and	CCONJ
easat-3415	88	12	the	the	DET
easat-3415	88	13	independent	independent	ADJ
easat-3415	88	14	variable	variable	NOUN
easat-3415	89	1	x.	x.	NOUN
easat-3415	89	2	3.1.1.4	3.1.1.4	PROPN
easat-3415	89	3	.	.	PUNCT
easat-3415	90	1	random	random	ADJ
easat-3415	90	2	forest	forest	NOUN
easat-3415	90	3	random	random	ADJ
easat-3415	90	4	forest	forest	NOUN
easat-3415	90	5	is	be	AUX
easat-3415	90	6	a	a	DET
easat-3415	90	7	machine	machine	NOUN
easat-3415	90	8	learning	learning	NOUN
easat-3415	90	9	method	method	NOUN
easat-3415	90	10	used	use	VERB
easat-3415	90	11	for	for	ADP
easat-3415	90	12	both	both	CCONJ
easat-3415	90	13	classification	classification	NOUN
easat-3415	90	14	and	and	CCONJ
easat-3415	90	15	regression	regression	NOUN
easat-3415	90	16	tasks	task	NOUN
easat-3415	90	17	.	.	PUNCT
easat-3415	91	1	it	it	PRON
easat-3415	91	2	operates	operate	VERB
easat-3415	91	3	by	by	ADP
easat-3415	91	4	building	build	VERB
easat-3415	91	5	multiple	multiple	ADJ
easat-3415	91	6	decision	decision	NOUN
easat-3415	91	7	trees	tree	NOUN
easat-3415	91	8	during	during	ADP
easat-3415	91	9	training	training	NOUN
easat-3415	91	10	and	and	CCONJ
easat-3415	91	11	then	then	ADV
easat-3415	91	12	providing	provide	VERB
easat-3415	91	13	either	either	CCONJ
easat-3415	91	14	the	the	DET
easat-3415	91	15	mode	mode	NOUN
easat-3415	91	16	of	of	ADP
easat-3415	91	17	the	the	DET
easat-3415	91	18	classes	class	NOUN
easat-3415	91	19	for	for	ADP
easat-3415	91	20	classification	classification	NOUN
easat-3415	91	21	or	or	CCONJ
easat-3415	91	22	the	the	DET
easat-3415	91	23	average	average	ADJ
easat-3415	91	24	prediction	prediction	NOUN
easat-3415	91	25	for	for	ADP
easat-3415	91	26	regression	regression	NOUN
easat-3415	91	27	from	from	ADP
easat-3415	91	28	the	the	DET
easat-3415	91	29	individual	individual	ADJ
easat-3415	91	30	trees	tree	NOUN
easat-3415	91	31	.	.	PUNCT
easat-3415	92	1	random	random	ADJ
easat-3415	92	2	forest	forest	NOUN
easat-3415	92	3	is	be	AUX
easat-3415	92	4	highly	highly	ADV
easat-3415	92	5	valued	value	VERB
easat-3415	92	6	for	for	ADP
easat-3415	92	7	its	its	PRON
easat-3415	92	8	ability	ability	NOUN
easat-3415	92	9	to	to	PART
easat-3415	92	10	improve	improve	VERB
easat-3415	92	11	prediction	prediction	NOUN
easat-3415	92	12	accuracy	accuracy	NOUN
easat-3415	92	13	and	and	CCONJ
easat-3415	92	14	reduce	reduce	VERB
easat-3415	92	15	overfitting	overfitting	NOUN
easat-3415	92	16	,	,	PUNCT
easat-3415	92	17	making	make	VERB
easat-3415	92	18	it	it	PRON
easat-3415	92	19	more	more	ADV
easat-3415	92	20	reliable	reliable	ADJ
easat-3415	92	21	than	than	ADP
easat-3415	92	22	a	a	DET
easat-3415	92	23	single	single	ADJ
easat-3415	92	24	decision	decision	NOUN
easat-3415	92	25	tree	tree	NOUN
easat-3415	92	26	.	.	PUNCT
easat-3415	93	1	in	in	ADP
easat-3415	93	2	classification	classification	NOUN
easat-3415	93	3	,	,	PUNCT
easat-3415	93	4	the	the	DET
easat-3415	93	5	model	model	NOUN
easat-3415	93	6	predicts	predict	VERB
easat-3415	93	7	the	the	DET
easat-3415	93	8	class	class	NOUN
easat-3415	93	9	that	that	PRON
easat-3415	93	10	receives	receive	VERB
easat-3415	93	11	the	the	DET
easat-3415	93	12	majority	majority	NOUN
easat-3415	93	13	vote	vote	NOUN
easat-3415	93	14	from	from	ADP
easat-3415	93	15	all	all	DET
easat-3415	93	16	trees	tree	NOUN
easat-3415	93	17	.	.	PUNCT
easat-3415	94	1	�	�	PROPN
easat-3415	94	2	̂	̂	VERB
easat-3415	94	3	�	�	PROPN
easat-3415	94	4	=	=	SYM
easat-3415	94	5	𝑚𝑜𝑑𝑒	𝑚𝑜𝑑𝑒	NOUN
easat-3415	94	6	(	(	PUNCT
easat-3415	94	7	𝑦1	𝑦1	PROPN
easat-3415	94	8	,	,	PUNCT
easat-3415	94	9	𝑦2	𝑦2	NOUN
easat-3415	94	10	,	,	PUNCT
easat-3415	94	11	…	…	PUNCT
easat-3415	94	12	,	,	PUNCT
easat-3415	94	13	𝑦𝑛	𝑦𝑛	NOUN
easat-3415	94	14	)	)	PUNCT
easat-3415	94	15	(	(	PUNCT
easat-3415	94	16	3	3	X
easat-3415	94	17	)	)	PUNCT
easat-3415	94	18	where	where	SCONJ
easat-3415	94	19	yi	yi	PROPN
easat-3415	94	20	is	be	AUX
easat-3415	94	21	the	the	DET
easat-3415	94	22	class	class	NOUN
easat-3415	94	23	predicted	predict	VERB
easat-3415	94	24	by	by	ADP
easat-3415	94	25	the	the	DET
easat-3415	94	26	ith	ith	PROPN
easat-3415	94	27	tree	tree	NOUN
easat-3415	94	28	.	.	PUNCT
easat-3415	95	1	for	for	ADP
easat-3415	95	2	regression	regression	NOUN
easat-3415	95	3	,	,	PUNCT
easat-3415	95	4	random	random	ADJ
easat-3415	95	5	forest	forest	NOUN
easat-3415	95	6	predicts	predict	VERB
easat-3415	95	7	the	the	DET
easat-3415	95	8	average	average	NOUN
easat-3415	95	9	of	of	ADP
easat-3415	95	10	the	the	DET
easat-3415	95	11	outputs	output	NOUN
easat-3415	95	12	from	from	ADP
easat-3415	95	13	all	all	DET
easat-3415	95	14	trees	tree	NOUN
easat-3415	95	15	:	:	PUNCT
easat-3415	95	16	�	�	PROPN
easat-3415	95	17	̂	̂	VERB
easat-3415	95	18	�	�	NOUN
easat-3415	95	19	=	=	SYM
easat-3415	95	20	1	1	NUM
easat-3415	95	21	𝑛	𝑛	PROPN
easat-3415	95	22	∑	∑	PROPN
easat-3415	95	23	𝑦𝑖	𝑦𝑖	NUM
easat-3415	95	24	𝑛	𝑛	PRON
easat-3415	95	25	𝑖=1	𝑖=1	PROPN
easat-3415	95	26	(	(	PUNCT
easat-3415	95	27	4	4	X
easat-3415	95	28	)	)	PUNCT
easat-3415	95	29	where	where	SCONJ
easat-3415	95	30	yi	yi	PROPN
easat-3415	95	31	is	be	AUX
easat-3415	95	32	the	the	DET
easat-3415	95	33	output	output	NOUN
easat-3415	95	34	predicted	predict	VERB
easat-3415	95	35	by	by	ADP
easat-3415	95	36	the	the	DET
easat-3415	95	37	ith	ith	PROPN
easat-3415	95	38	.	.	PUNCT
easat-3415	96	1	3.1.1.5	3.1.1.5	NUM
easat-3415	96	2	.	.	PUNCT
easat-3415	97	1	support	support	NOUN
easat-3415	97	2	vector	vector	NOUN
easat-3415	97	3	machine	machine	NOUN
easat-3415	97	4	the	the	DET
easat-3415	97	5	support	support	NOUN
easat-3415	97	6	vector	vector	NOUN
easat-3415	97	7	machine	machine	NOUN
easat-3415	97	8	(	(	PUNCT
easat-3415	97	9	svm	svm	PROPN
easat-3415	97	10	)	)	PUNCT
easat-3415	97	11	is	be	AUX
easat-3415	97	12	a	a	DET
easat-3415	97	13	highly	highly	ADV
easat-3415	97	14	effective	effective	ADJ
easat-3415	97	15	and	and	CCONJ
easat-3415	97	16	flexible	flexible	ADJ
easat-3415	97	17	supervised	supervised	ADJ
easat-3415	97	18	learning	learn	VERB
easat-3415	97	19	algorithm	algorithm	NOUN
easat-3415	97	20	commonly	commonly	ADV
easat-3415	97	21	used	use	VERB
easat-3415	97	22	for	for	ADP
easat-3415	97	23	classification	classification	NOUN
easat-3415	97	24	,	,	PUNCT
easat-3415	97	25	although	although	SCONJ
easat-3415	97	26	it	it	PRON
easat-3415	97	27	can	can	AUX
easat-3415	97	28	also	also	ADV
easat-3415	97	29	handle	handle	VERB
easat-3415	97	30	regression	regression	NOUN
easat-3415	97	31	problems	problem	NOUN
easat-3415	97	32	.	.	PUNCT
easat-3415	98	1	the	the	DET
easat-3415	98	2	fundamental	fundamental	ADJ
easat-3415	98	3	concept	concept	NOUN
easat-3415	98	4	of	of	ADP
easat-3415	98	5	svm	svm	PROPN
easat-3415	98	6	is	be	AUX
easat-3415	98	7	to	to	PART
easat-3415	98	8	find	find	VERB
easat-3415	98	9	the	the	DET
easat-3415	98	10	ideal	ideal	ADJ
easat-3415	98	11	hyperplane	hyperplane	NOUN
easat-3415	98	12	that	that	PRON
easat-3415	98	13	divides	divide	VERB
easat-3415	98	14	distinct	distinct	ADJ
easat-3415	98	15	sets	set	NOUN
easat-3415	98	16	in	in	ADP
easat-3415	98	17	the	the	DET
easat-3415	98	18	feature	feature	NOUN
easat-3415	98	19	space	space	NOUN
easat-3415	98	20	,	,	PUNCT
easat-3415	98	21	boosting	boost	VERB
easat-3415	98	22	the	the	DET
easat-3415	98	23	margin	margin	NOUN
easat-3415	98	24	between	between	ADP
easat-3415	98	25	them	they	PRON
easat-3415	98	26	.	.	PUNCT
easat-3415	99	1	this	this	PRON
easat-3415	99	2	makes	make	VERB
easat-3415	99	3	svm	svm	ADJ
easat-3415	99	4	particularly	particularly	ADV
easat-3415	99	5	powerful	powerful	ADJ
easat-3415	99	6	in	in	ADP
easat-3415	99	7	high	high	ADJ
easat-3415	99	8	-	-	PUNCT
easat-3415	99	9	dimensional	dimensional	ADJ
easat-3415	99	10	spaces	space	NOUN
easat-3415	99	11	,	,	PUNCT
easat-3415	99	12	and	and	CCONJ
easat-3415	99	13	it	it	PRON
easat-3415	99	14	has	have	VERB
easat-3415	99	15	applications	application	NOUN
easat-3415	99	16	in	in	ADP
easat-3415	99	17	fields	field	NOUN
easat-3415	99	18	such	such	ADJ
easat-3415	99	19	as	as	ADP
easat-3415	99	20	text	text	NOUN
easat-3415	99	21	classification	classification	NOUN
easat-3415	99	22	,	,	PUNCT
easat-3415	99	23	image	image	NOUN
easat-3415	99	24	recognition	recognition	NOUN
easat-3415	99	25	,	,	PUNCT
easat-3415	99	26	and	and	CCONJ
easat-3415	99	27	bioinformatics	bioinformatics	NOUN
easat-3415	99	28	.	.	PUNCT
easat-3415	100	1	svm	svm	PROPN
easat-3415	100	2	aims	aim	VERB
easat-3415	100	3	to	to	PART
easat-3415	100	4	solve	solve	VERB
easat-3415	100	5	the	the	DET
easat-3415	100	6	following	follow	VERB
easat-3415	100	7	optimization	optimization	NOUN
easat-3415	100	8	problem	problem	NOUN
easat-3415	100	9	:	:	PUNCT
easat-3415	100	10	for	for	ADP
easat-3415	100	11	a	a	DET
easat-3415	100	12	linear	linear	ADJ
easat-3415	100	13	svm	svm	NOUN
easat-3415	100	14	,	,	PUNCT
easat-3415	100	15	the	the	DET
easat-3415	100	16	optimization	optimization	NOUN
easat-3415	100	17	problem	problem	NOUN
easat-3415	100	18	is	be	AUX
easat-3415	100	19	:	:	PUNCT
easat-3415	100	20	1	1	NUM
easat-3415	100	21	2𝑤,𝑏	2𝑤,𝑏	NUM
easat-3415	100	22	𝑚𝑖𝑛	𝑚𝑖𝑛	NOUN
easat-3415	100	23	‖𝑊‖2	‖𝑊‖2	PROPN
easat-3415	100	24	(	(	PUNCT
easat-3415	100	25	5	5	NUM
easat-3415	100	26	)	)	PUNCT
easat-3415	100	27	subject	subject	NOUN
easat-3415	100	28	to	to	ADP
easat-3415	100	29	:	:	PUNCT
easat-3415	100	30	𝑦𝑖(𝑤	𝑦𝑖(𝑤	NUM
easat-3415	100	31	⋅	⋅	PROPN
easat-3415	100	32	𝑥𝑖	𝑥𝑖	PROPN
easat-3415	100	33	+	+	CCONJ
easat-3415	100	34	𝑏	𝑏	NOUN
easat-3415	100	35	)	)	PUNCT
easat-3415	100	36	≥	≥	NOUN
easat-3415	100	37	1	1	NUM
easat-3415	100	38	,	,	PUNCT
easat-3415	100	39	∀𝑖	∀𝑖	NUM
easat-3415	100	40	where	where	SCONJ
easat-3415	100	41	b	b	NOUN
easat-3415	100	42	is	be	AUX
easat-3415	100	43	the	the	DET
easat-3415	100	44	bias	bias	NOUN
easat-3415	100	45	term	term	NOUN
easat-3415	100	46	,	,	PUNCT
easat-3415	100	47	w	w	NOUN
easat-3415	100	48	is	be	AUX
easat-3415	100	49	the	the	DET
easat-3415	100	50	weight	weight	NOUN
easat-3415	100	51	vector	vector	NOUN
easat-3415	100	52	,	,	PUNCT
easat-3415	100	53	and	and	CCONJ
easat-3415	100	54	(	(	PUNCT
easat-3415	100	55	xi	xi	PROPN
easat-3415	100	56	,	,	PUNCT
easat-3415	100	57	yi	yi	PROPN
easat-3415	100	58	)	)	PUNCT
easat-3415	100	59	are	be	AUX
easat-3415	100	60	the	the	DET
easat-3415	100	61	data	data	NOUN
easat-3415	100	62	points	point	NOUN
easat-3415	100	63	and	and	CCONJ
easat-3415	100	64	their	their	PRON
easat-3415	100	65	labels	label	NOUN
easat-3415	100	66	.	.	PUNCT
easat-3415	101	1	6629	6629	NUM
easat-3415	101	2	edelweiss	edelweiss	PROPN
easat-3415	101	3	applied	apply	VERB
easat-3415	101	4	science	science	NOUN
easat-3415	101	5	and	and	CCONJ
easat-3415	101	6	technology	technology	NOUN
easat-3415	101	7	issn	issn	PROPN
easat-3415	101	8	:	:	PUNCT
easat-3415	101	9	2576	2576	NUM
easat-3415	101	10	-	-	SYM
easat-3415	101	11	8484	8484	NUM
easat-3415	101	12	vol	vol	NOUN
easat-3415	101	13	.	.	PROPN
easat-3415	101	14	8	8	NUM
easat-3415	101	15	,	,	PUNCT
easat-3415	101	16	no	no	INTJ
easat-3415	101	17	.	.	NOUN
easat-3415	102	1	6	6	NUM
easat-3415	102	2	:	:	SYM
easat-3415	102	3	6625	6625	NUM
easat-3415	102	4	-	-	SYM
easat-3415	102	5	6643	6643	NUM
easat-3415	102	6	,	,	PUNCT
easat-3415	102	7	2024	2024	NUM
easat-3415	102	8	doi	doi	NOUN
easat-3415	102	9	:	:	PUNCT
easat-3415	102	10	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	102	11	©	©	PROPN
easat-3415	102	12	2024	2024	NUM
easat-3415	102	13	by	by	ADP
easat-3415	102	14	the	the	DET
easat-3415	102	15	author	author	NOUN
easat-3415	102	16	;	;	PUNCT
easat-3415	102	17	licensee	licensee	NOUN
easat-3415	102	18	learning	learn	VERB
easat-3415	102	19	gate	gate	NOUN
easat-3415	102	20	for	for	ADP
easat-3415	102	21	non	non	ADJ
easat-3415	102	22	-	-	ADJ
easat-3415	102	23	linearly	linearly	ADV
easat-3415	102	24	separable	separable	ADJ
easat-3415	102	25	data	datum	NOUN
easat-3415	102	26	,	,	PUNCT
easat-3415	102	27	slack	slack	NOUN
easat-3415	102	28	variables	variable	NOUN
easat-3415	102	29	ξi	ξi	PROPN
easat-3415	102	30	are	be	AUX
easat-3415	102	31	introduced	introduce	VERB
easat-3415	102	32	to	to	PART
easat-3415	102	33	allow	allow	VERB
easat-3415	102	34	for	for	ADP
easat-3415	102	35	misclassifications	misclassification	NOUN
easat-3415	102	36	,	,	PUNCT
easat-3415	102	37	leading	lead	VERB
easat-3415	102	38	to	to	ADP
easat-3415	102	39	a	a	DET
easat-3415	102	40	soft	soft	ADJ
easat-3415	102	41	-	-	PUNCT
easat-3415	102	42	margin	margin	NOUN
easat-3415	102	43	svm	svm	NOUN
easat-3415	102	44	:	:	PUNCT
easat-3415	102	45	1	1	NUM
easat-3415	102	46	2𝑤,𝑏,ξ	2𝑤,𝑏,ξ	NUM
easat-3415	102	47	,	,	PUNCT
easat-3415	102	48	𝑚𝑖𝑛	𝑚𝑖𝑛	NOUN
easat-3415	102	49	‖𝑊‖2	‖𝑊‖2	PROPN
easat-3415	102	50	+	+	CCONJ
easat-3415	102	51	𝐶	𝐶	PROPN
easat-3415	102	52	∑	∑	PUNCT
easat-3415	102	53	𝜉𝑖	𝜉𝑖	NOUN
easat-3415	102	54	𝑛	𝑛	PRON
easat-3415	102	55	𝑖=1	𝑖=1	PROPN
easat-3415	102	56	(	(	PUNCT
easat-3415	102	57	6	6	NUM
easat-3415	102	58	)	)	PUNCT
easat-3415	102	59	subject	subject	NOUN
easat-3415	102	60	to	to	ADP
easat-3415	102	61	:	:	PUNCT
easat-3415	102	62	𝑦𝑖(𝑤	𝑦𝑖(𝑤	NUM
easat-3415	102	63	⋅	⋅	PROPN
easat-3415	102	64	𝑥𝑖	𝑥𝑖	PROPN
easat-3415	102	65	+	+	CCONJ
easat-3415	102	66	𝑏	𝑏	NOUN
easat-3415	102	67	)	)	PUNCT
easat-3415	102	68	≥	≥	NOUN
easat-3415	102	69	1	1	NUM
easat-3415	102	70	−	−	NOUN
easat-3415	103	1	𝜉𝑖	𝜉𝑖	X
easat-3415	103	2	,	,	PUNCT
easat-3415	103	3	𝜉𝑖	𝜉𝑖	ADV
easat-3415	103	4	≥	≥	NOUN
easat-3415	103	5	0	0	NUM
easat-3415	103	6	,	,	PUNCT
easat-3415	103	7	∀𝑖	∀𝑖	PROPN
easat-3415	103	8	where	where	SCONJ
easat-3415	103	9	c	c	PROPN
easat-3415	103	10	is	be	AUX
easat-3415	103	11	a	a	DET
easat-3415	103	12	regularization	regularization	NOUN
easat-3415	103	13	constraint	constraint	NOUN
easat-3415	103	14	that	that	PRON
easat-3415	103	15	controls	control	VERB
easat-3415	103	16	the	the	DET
easat-3415	103	17	trade	trade	NOUN
easat-3415	103	18	-	-	PUNCT
easat-3415	103	19	off	off	NOUN
easat-3415	103	20	between	between	ADP
easat-3415	103	21	maximizing	maximize	VERB
easat-3415	103	22	the	the	DET
easat-3415	103	23	margin	margin	NOUN
easat-3415	103	24	and	and	CCONJ
easat-3415	103	25	minimizing	minimize	VERB
easat-3415	103	26	classification	classification	NOUN
easat-3415	103	27	error	error	NOUN
easat-3415	103	28	.	.	PUNCT
easat-3415	104	1	3.1.2	3.1.2	NUM
easat-3415	104	2	.	.	NOUN
easat-3415	104	3	time	time	NOUN
easat-3415	104	4	series	series	PROPN
easat-3415	104	5	analysis	analysis	NOUN
easat-3415	104	6	time	time	NOUN
easat-3415	104	7	series	series	NOUN
easat-3415	104	8	models	model	NOUN
easat-3415	104	9	are	be	AUX
easat-3415	104	10	specifically	specifically	ADV
easat-3415	104	11	designed	design	VERB
easat-3415	104	12	to	to	PART
easat-3415	104	13	analyze	analyze	VERB
easat-3415	104	14	and	and	CCONJ
easat-3415	104	15	forecast	forecast	VERB
easat-3415	104	16	sequential	sequential	ADJ
easat-3415	104	17	and	and	CCONJ
easat-3415	104	18	time	time	NOUN
easat-3415	104	19	dependent	dependent	ADJ
easat-3415	104	20	data	datum	NOUN
easat-3415	104	21	.	.	PUNCT
easat-3415	105	1	these	these	DET
easat-3415	105	2	models	model	NOUN
easat-3415	105	3	naturally	naturally	ADV
easat-3415	105	4	consider	consider	VERB
easat-3415	105	5	the	the	DET
easat-3415	105	6	order	order	NOUN
easat-3415	105	7	and	and	CCONJ
easat-3415	105	8	chronological	chronological	ADJ
easat-3415	105	9	structure	structure	NOUN
easat-3415	105	10	of	of	ADP
easat-3415	105	11	data	datum	NOUN
easat-3415	105	12	points	point	NOUN
easat-3415	105	13	,	,	PUNCT
easat-3415	105	14	making	make	VERB
easat-3415	105	15	them	they	PRON
easat-3415	105	16	particularly	particularly	ADV
easat-3415	105	17	suited	suit	VERB
easat-3415	105	18	for	for	ADP
easat-3415	105	19	tasks	task	NOUN
easat-3415	105	20	in	in	ADP
easat-3415	105	21	which	which	PRON
easat-3415	105	22	the	the	DET
easat-3415	105	23	timing	timing	NOUN
easat-3415	105	24	and	and	CCONJ
easat-3415	105	25	sequence	sequence	NOUN
easat-3415	105	26	of	of	ADP
easat-3415	105	27	events	event	NOUN
easat-3415	105	28	are	be	AUX
easat-3415	105	29	crucial	crucial	ADJ
easat-3415	105	30	.	.	PUNCT
easat-3415	106	1	suitable	suitable	ADJ
easat-3415	106	2	time	time	NOUN
easat-3415	106	3	series	series	PROPN
easat-3415	106	4	models	model	NOUN
easat-3415	106	5	,	,	PUNCT
easat-3415	106	6	such	such	ADJ
easat-3415	106	7	as	as	ADP
easat-3415	106	8	auto	auto	NOUN
easat-3415	106	9	regressive	regressive	ADJ
easat-3415	106	10	integrated	integrated	ADJ
easat-3415	106	11	moving	move	VERB
easat-3415	106	12	average	average	NOUN
easat-3415	106	13	(	(	PUNCT
easat-3415	106	14	arima	arima	PROPN
easat-3415	106	15	)	)	PUNCT
easat-3415	106	16	,	,	PUNCT
easat-3415	106	17	seasonal	seasonal	ADJ
easat-3415	106	18	arima	arima	NOUN
easat-3415	106	19	(	(	PUNCT
easat-3415	106	20	sarima	sarima	PROPN
easat-3415	106	21	)	)	PUNCT
easat-3415	106	22	,	,	PUNCT
easat-3415	106	23	holt	holt	PROPN
easat-3415	106	24	-	-	PUNCT
easat-3415	106	25	winters	winter	NOUN
easat-3415	106	26	(	(	PUNCT
easat-3415	106	27	exponential	exponential	ADJ
easat-3415	106	28	smoothing	smoothing	NOUN
easat-3415	106	29	)	)	PUNCT
easat-3415	106	30	,	,	PUNCT
easat-3415	106	31	prophet	prophet	NOUN
easat-3415	106	32	,	,	PUNCT
easat-3415	106	33	and	and	CCONJ
easat-3415	106	34	advanced	advanced	ADJ
easat-3415	106	35	models	model	NOUN
easat-3415	106	36	like	like	ADP
easat-3415	106	37	long	long	ADJ
easat-3415	106	38	shortterm	shortterm	NOUN
easat-3415	106	39	memory	memory	NOUN
easat-3415	106	40	(	(	PUNCT
easat-3415	106	41	lstm	lstm	NOUN
easat-3415	106	42	)	)	PUNCT
easat-3415	106	43	networks	network	NOUN
easat-3415	106	44	,	,	PUNCT
easat-3415	106	45	are	be	AUX
easat-3415	106	46	used	use	VERB
easat-3415	106	47	to	to	PART
easat-3415	106	48	capture	capture	VERB
easat-3415	106	49	long	long	ADJ
easat-3415	106	50	-	-	PUNCT
easat-3415	106	51	term	term	NOUN
easat-3415	106	52	dependencies	dependency	NOUN
easat-3415	106	53	.	.	PUNCT
easat-3415	107	1	3.1.2.1	3.1.2.1	X
easat-3415	107	2	.	.	PUNCT
easat-3415	107	3	arima	arima	PROPN
easat-3415	107	4	arima	arima	PROPN
easat-3415	107	5	,	,	PUNCT
easat-3415	107	6	which	which	PRON
easat-3415	107	7	stands	stand	VERB
easat-3415	107	8	for	for	ADP
easat-3415	107	9	the	the	DET
easat-3415	107	10	autoregressive	autoregressive	ADJ
easat-3415	107	11	integrated	integrated	ADJ
easat-3415	107	12	moving	move	VERB
easat-3415	107	13	average	average	NOUN
easat-3415	107	14	,	,	PUNCT
easat-3415	107	15	is	be	AUX
easat-3415	107	16	a	a	DET
easat-3415	107	17	commonly	commonly	ADV
easat-3415	107	18	used	use	VERB
easat-3415	107	19	statistical	statistical	ADJ
easat-3415	107	20	technique	technique	NOUN
easat-3415	107	21	for	for	ADP
easat-3415	107	22	forecasting	forecasting	NOUN
easat-3415	107	23	time	time	NOUN
easat-3415	107	24	series	series	PROPN
easat-3415	107	25	data	data	PROPN
easat-3415	107	26	.	.	PUNCT
easat-3415	108	1	it	it	PRON
easat-3415	108	2	works	work	VERB
easat-3415	108	3	particularly	particularly	ADV
easat-3415	108	4	well	well	ADV
easat-3415	108	5	with	with	ADP
easat-3415	108	6	data	datum	NOUN
easat-3415	108	7	that	that	PRON
easat-3415	108	8	exhibit	exhibit	VERB
easat-3415	108	9	trends	trend	NOUN
easat-3415	108	10	and	and	CCONJ
easat-3415	108	11	can	can	AUX
easat-3415	108	12	be	be	AUX
easat-3415	108	13	transformed	transform	VERB
easat-3415	108	14	into	into	ADP
easat-3415	108	15	a	a	DET
easat-3415	108	16	stationary	stationary	ADJ
easat-3415	108	17	series	series	NOUN
easat-3415	108	18	through	through	ADP
easat-3415	108	19	differencing	differencing	NOUN
easat-3415	108	20	.	.	PUNCT
easat-3415	109	1	the	the	DET
easat-3415	109	2	arima	arima	PROPN
easat-3415	109	3	model	model	NOUN
easat-3415	109	4	integrates	integrate	VERB
easat-3415	109	5	three	three	NUM
easat-3415	109	6	key	key	ADJ
easat-3415	109	7	elements	element	NOUN
easat-3415	109	8	:	:	PUNCT
easat-3415	109	9	autoregressive	autoregressive	ADJ
easat-3415	109	10	(	(	PUNCT
easat-3415	109	11	ar	ar	NOUN
easat-3415	109	12	)	)	PUNCT
easat-3415	109	13	,	,	PUNCT
easat-3415	109	14	integration	integration	NOUN
easat-3415	109	15	(	(	PUNCT
easat-3415	109	16	i	i	NOUN
easat-3415	109	17	)	)	PUNCT
easat-3415	109	18	,	,	PUNCT
easat-3415	109	19	and	and	CCONJ
easat-3415	109	20	moving	move	VERB
easat-3415	109	21	average	average	ADJ
easat-3415	109	22	(	(	PUNCT
easat-3415	109	23	ma	ma	PROPN
easat-3415	109	24	)	)	PUNCT
easat-3415	109	25	.	.	PUNCT
easat-3415	110	1	the	the	DET
easat-3415	110	2	final	final	ADJ
easat-3415	110	3	model	model	NOUN
easat-3415	110	4	equation	equation	NOUN
easat-3415	110	5	incorporates	incorporate	VERB
easat-3415	110	6	the	the	DET
easat-3415	110	7	following	follow	VERB
easat-3415	110	8	components	component	NOUN
easat-3415	110	9	:	:	PUNCT
easat-3415	110	10	arima(p	arima(p	NOUN
easat-3415	110	11	,	,	PUNCT
easat-3415	110	12	d	d	PROPN
easat-3415	110	13	,	,	PUNCT
easat-3415	110	14	q	q	X
easat-3415	110	15	):	):	PUNCT
easat-3415	110	16	yt	yt	PROPN
easat-3415	110	17	=	=	PUNCT
easat-3415	110	18	c	c	PROPN
easat-3415	111	1	+	+	NOUN
easat-3415	111	2	ϕ1yt	ϕ1yt	PUNCT
easat-3415	111	3	−	−	PROPN
easat-3415	111	4	1	1	NUM
easat-3415	111	5	+	+	CCONJ
easat-3415	111	6	ϕ2yt	ϕ2yt	ADP
easat-3415	111	7	−	−	PROPN
easat-3415	111	8	2	2	NUM
easat-3415	111	9	+	+	CCONJ
easat-3415	111	10	⋯	⋯	VERB
easat-3415	111	11	+	+	NUM
easat-3415	111	12	ϕpyt	ϕpyt	NOUN
easat-3415	111	13	−	−	PROPN
easat-3415	111	14	p	p	PROPN
easat-3415	112	1	+	+	PROPN
easat-3415	112	2	εt	εt	PROPN
easat-3415	112	3	+	+	SYM
easat-3415	112	4	θ1εt	θ1εt	SYM
easat-3415	112	5	−	−	PROPN
easat-3415	112	6	1	1	NUM
easat-3415	113	1	+	+	CCONJ
easat-3415	113	2	θ2εt	θ2εt	X
easat-3415	113	3	−	−	NOUN
easat-3415	113	4	2	2	NUM
easat-3415	113	5	+	+	CCONJ
easat-3415	113	6	⋯	⋯	VERB
easat-3415	113	7	+	+	PROPN
easat-3415	113	8	θqεt	θqεt	ADJ
easat-3415	113	9	−	−	PROPN
easat-3415	113	10	q	q	NOUN
easat-3415	113	11	(	(	PUNCT
easat-3415	113	12	7	7	NUM
easat-3415	113	13	)	)	PUNCT
easat-3415	113	14	where	where	SCONJ
easat-3415	113	15	yt	yt	PROPN
easat-3415	113	16	represents	represent	VERB
easat-3415	113	17	the	the	DET
easat-3415	113	18	differenced	differenced	ADJ
easat-3415	113	19	data	datum	NOUN
easat-3415	113	20	and	and	CCONJ
easat-3415	113	21	incorporates	incorporate	VERB
easat-3415	113	22	both	both	CCONJ
easat-3415	113	23	the	the	DET
easat-3415	113	24	autoregressive	autoregressive	ADJ
easat-3415	113	25	and	and	CCONJ
easat-3415	113	26	moving	move	VERB
easat-3415	113	27	average	average	ADJ
easat-3415	113	28	terms	term	NOUN
easat-3415	113	29	.	.	PUNCT
easat-3415	114	1	fitting	fit	VERB
easat-3415	114	2	an	an	DET
easat-3415	114	3	arima	arima	NOUN
easat-3415	114	4	model	model	NOUN
easat-3415	114	5	involves	involve	VERB
easat-3415	114	6	estimating	estimate	VERB
easat-3415	114	7	the	the	DET
easat-3415	114	8	parameters	parameter	NOUN
easat-3415	114	9	ϕ	ϕ	PROPN
easat-3415	114	10	and	and	CCONJ
easat-3415	114	11	θ	θ	PROPN
easat-3415	114	12	using	use	VERB
easat-3415	114	13	techniques	technique	NOUN
easat-3415	114	14	such	such	ADJ
easat-3415	114	15	as	as	ADP
easat-3415	114	16	the	the	DET
easat-3415	114	17	maximum	maximum	ADJ
easat-3415	114	18	likelihood	likelihood	NOUN
easat-3415	114	19	estimation	estimation	NOUN
easat-3415	114	20	.	.	PUNCT
easat-3415	115	1	once	once	SCONJ
easat-3415	115	2	the	the	DET
easat-3415	115	3	model	model	NOUN
easat-3415	115	4	is	be	AUX
easat-3415	115	5	fitted	fit	VERB
easat-3415	115	6	,	,	PUNCT
easat-3415	115	7	it	it	PRON
easat-3415	115	8	can	can	AUX
easat-3415	115	9	be	be	AUX
easat-3415	115	10	applied	apply	VERB
easat-3415	115	11	to	to	ADP
easat-3415	115	12	forecasts	forecast	NOUN
easat-3415	115	13	based	base	VERB
easat-3415	115	14	on	on	ADP
easat-3415	115	15	historical	historical	ADJ
easat-3415	115	16	data	datum	NOUN
easat-3415	115	17	to	to	PART
easat-3415	115	18	provide	provide	VERB
easat-3415	115	19	insights	insight	NOUN
easat-3415	115	20	into	into	ADP
easat-3415	115	21	future	future	ADJ
easat-3415	115	22	trends	trend	NOUN
easat-3415	115	23	.	.	PUNCT
easat-3415	116	1	3.1.2.2	3.1.2.2	X
easat-3415	116	2	.	.	PUNCT
easat-3415	116	3	holt	holt	PROPN
easat-3415	116	4	-	-	PUNCT
easat-3415	116	5	winters	winter	NOUN
easat-3415	116	6	,	,	PUNCT
easat-3415	116	7	and	and	CCONJ
easat-3415	116	8	prophet	prophet	VERB
easat-3415	116	9	the	the	DET
easat-3415	116	10	holt	holt	PROPN
easat-3415	116	11	-	-	PUNCT
easat-3415	116	12	winters	winter	NOUN
easat-3415	116	13	model	model	NOUN
easat-3415	116	14	is	be	AUX
easat-3415	116	15	a	a	DET
easat-3415	116	16	classical	classical	ADJ
easat-3415	116	17	approach	approach	NOUN
easat-3415	116	18	that	that	PRON
easat-3415	116	19	is	be	AUX
easat-3415	116	20	best	well	ADV
easat-3415	116	21	suited	suit	VERB
easat-3415	116	22	for	for	ADP
easat-3415	116	23	time	time	NOUN
easat-3415	116	24	series	series	PROPN
easat-3415	116	25	data	datum	NOUN
easat-3415	116	26	with	with	ADP
easat-3415	116	27	regular	regular	ADJ
easat-3415	116	28	seasonal	seasonal	ADJ
easat-3415	116	29	patterns	pattern	NOUN
easat-3415	116	30	and	and	CCONJ
easat-3415	116	31	trends	trend	NOUN
easat-3415	116	32	.	.	PUNCT
easat-3415	117	1	this	this	DET
easat-3415	117	2	method	method	NOUN
easat-3415	117	3	is	be	AUX
easat-3415	117	4	simple	simple	ADJ
easat-3415	117	5	and	and	CCONJ
easat-3415	117	6	effective	effective	ADJ
easat-3415	117	7	for	for	ADP
easat-3415	117	8	short	short	ADJ
easat-3415	117	9	-	-	PUNCT
easat-3415	117	10	term	term	NOUN
easat-3415	117	11	forecasting	forecasting	NOUN
easat-3415	117	12	.	.	PUNCT
easat-3415	118	1	the	the	DET
easat-3415	118	2	prophet	prophet	NOUN
easat-3415	118	3	model	model	NOUN
easat-3415	118	4	,	,	PUNCT
easat-3415	118	5	on	on	ADP
easat-3415	118	6	the	the	DET
easat-3415	118	7	other	other	ADJ
easat-3415	118	8	hand	hand	NOUN
easat-3415	118	9	,	,	PUNCT
easat-3415	118	10	is	be	AUX
easat-3415	118	11	a	a	DET
easat-3415	118	12	flexible	flexible	ADJ
easat-3415	118	13	,	,	PUNCT
easat-3415	118	14	modern	modern	ADJ
easat-3415	118	15	approach	approach	NOUN
easat-3415	118	16	that	that	PRON
easat-3415	118	17	employs	employ	VERB
easat-3415	118	18	complex	complex	ADJ
easat-3415	118	19	time	time	NOUN
easat-3415	118	20	series	series	NOUN
easat-3415	118	21	data	datum	NOUN
easat-3415	118	22	with	with	ADP
easat-3415	118	23	multiple	multiple	ADJ
easat-3415	118	24	seasonality	seasonality	NOUN
easat-3415	118	25	’s	’s	PART
easat-3415	118	26	and	and	CCONJ
easat-3415	118	27	holiday	holiday	NOUN
easat-3415	118	28	effects	effect	NOUN
easat-3415	118	29	.	.	PUNCT
easat-3415	119	1	it	it	PRON
easat-3415	119	2	provides	provide	VERB
easat-3415	119	3	an	an	DET
easat-3415	119	4	intuitive	intuitive	ADJ
easat-3415	119	5	interface	interface	NOUN
easat-3415	119	6	for	for	ADP
easat-3415	119	7	capturing	capture	VERB
easat-3415	119	8	and	and	CCONJ
easat-3415	119	9	forecasting	forecasting	NOUN
easat-3415	119	10	time	time	NOUN
easat-3415	119	11	series	series	NOUN
easat-3415	119	12	with	with	ADP
easat-3415	119	13	robust	robust	ADJ
easat-3415	119	14	handling	handling	NOUN
easat-3415	119	15	of	of	ADP
easat-3415	119	16	the	the	DET
easat-3415	119	17	missing	miss	VERB
easat-3415	119	18	data	datum	NOUN
easat-3415	119	19	and	and	CCONJ
easat-3415	119	20	outliers	outlier	NOUN
easat-3415	119	21	.	.	PUNCT
easat-3415	120	1	both	both	DET
easat-3415	120	2	models	model	NOUN
easat-3415	120	3	are	be	AUX
easat-3415	120	4	valuable	valuable	ADJ
easat-3415	120	5	tools	tool	NOUN
easat-3415	120	6	in	in	ADP
easat-3415	120	7	time	time	NOUN
easat-3415	120	8	series	series	PROPN
easat-3415	120	9	forecasting	forecasting	NOUN
easat-3415	120	10	toolkits	toolkit	NOUN
easat-3415	120	11	,	,	PUNCT
easat-3415	120	12	each	each	PRON
easat-3415	120	13	with	with	ADP
easat-3415	120	14	their	their	PRON
easat-3415	120	15	strengths	strength	NOUN
easat-3415	120	16	and	and	CCONJ
easat-3415	120	17	applicable	applicable	ADJ
easat-3415	120	18	use	use	NOUN
easat-3415	120	19	cases	case	NOUN
easat-3415	120	20	.	.	PUNCT
easat-3415	121	1	prophet	prophet	NOUN
easat-3415	121	2	models	model	VERB
easat-3415	121	3	the	the	DET
easat-3415	121	4	time	time	NOUN
easat-3415	121	5	-	-	PUNCT
easat-3415	121	6	series	series	NOUN
easat-3415	121	7	data	datum	NOUN
easat-3415	121	8	as	as	ADP
easat-3415	121	9	an	an	DET
easat-3415	121	10	additive	additive	ADJ
easat-3415	121	11	combination	combination	NOUN
easat-3415	121	12	of	of	ADP
easat-3415	121	13	the	the	DET
easat-3415	121	14	following	follow	VERB
easat-3415	121	15	components	component	NOUN
easat-3415	121	16	:	:	PUNCT
easat-3415	121	17	𝑦(𝑡	𝑦(𝑡	NUM
easat-3415	121	18	)	)	PUNCT
easat-3415	121	19	=	=	PUNCT
easat-3415	121	20	𝑔(𝑡	𝑔(𝑡	VERB
easat-3415	121	21	)	)	PUNCT
easat-3415	122	1	+	+	CCONJ
easat-3415	122	2	𝑠(𝑡	𝑠(𝑡	PROPN
easat-3415	122	3	)	)	PUNCT
easat-3415	123	1	+	+	CCONJ
easat-3415	123	2	ℎ(𝑡	ℎ(𝑡	PROPN
easat-3415	123	3	)	)	PUNCT
easat-3415	124	1	+	+	CCONJ
easat-3415	124	2	휀t	휀t	ADV
easat-3415	124	3	(	(	PUNCT
easat-3415	124	4	8)	8)	NUM
easat-3415	124	5	where	where	SCONJ
easat-3415	124	6	:	:	PUNCT
easat-3415	124	7	g(t	g(t	PROPN
easat-3415	124	8	)	)	PUNCT
easat-3415	124	9	is	be	AUX
easat-3415	124	10	the	the	DET
easat-3415	124	11	piecewise	piecewise	NOUN
easat-3415	124	12	linear	linear	NOUN
easat-3415	124	13	for	for	ADP
easat-3415	124	14	trend	trend	NOUN
easat-3415	124	15	:	:	PUNCT
easat-3415	124	16	𝑔(𝑡	𝑔(𝑡	NUM
easat-3415	124	17	)	)	PUNCT
easat-3415	124	18	=	=	PUNCT
easat-3415	124	19	𝑔(𝑡	𝑔(𝑡	PROPN
easat-3415	124	20	)	)	PUNCT
easat-3415	125	1	=	=	PRON
easat-3415	125	2	(	(	PUNCT
easat-3415	125	3	𝑘	𝑘	X
easat-3415	125	4	+	+	X
easat-3415	125	5	𝑎(𝑡)𝑇𝛿)𝑡	𝑎(𝑡)𝑇𝛿)𝑡	NOUN
easat-3415	125	6	+	+	CCONJ
easat-3415	125	7	(	(	PUNCT
easat-3415	125	8	𝑚	𝑚	X
easat-3415	125	9	+	+	X
easat-3415	125	10	𝑎(𝑡)𝑇𝛾	𝑎(𝑡)𝑇𝛾	NOUN
easat-3415	125	11	)	)	PUNCT
easat-3415	125	12	(	(	PUNCT
easat-3415	125	13	9	9	NUM
easat-3415	125	14	)	)	PUNCT
easat-3415	125	15	or	or	CCONJ
easat-3415	125	16	logistic	logistic	ADJ
easat-3415	125	17	growth	growth	NOUN
easat-3415	125	18	model	model	NOUN
easat-3415	125	19	for	for	ADP
easat-3415	125	20	trend	trend	NOUN
easat-3415	125	21	:	:	PUNCT
easat-3415	125	22	𝑔(𝑡	𝑔(𝑡	NUM
easat-3415	125	23	)	)	PUNCT
easat-3415	125	24	=	=	SYM
easat-3415	125	25	𝐶	𝐶	PROPN
easat-3415	125	26	1	1	NUM
easat-3415	125	27	+	+	NUM
easat-3415	125	28	exp	exp	NOUN
easat-3415	125	29	(	(	PUNCT
easat-3415	125	30	−𝑘(𝑡	−𝑘(𝑡	VERB
easat-3415	125	31	−	−	NOUN
easat-3415	125	32	𝑚	𝑚	NOUN
easat-3415	125	33	)	)	PUNCT
easat-3415	125	34	)	)	PUNCT
easat-3415	125	35	(	(	PUNCT
easat-3415	125	36	10	10	NUM
easat-3415	125	37	)	)	PUNCT
easat-3415	125	38	6630	6630	NUM
easat-3415	125	39	edelweiss	edelweiss	PROPN
easat-3415	125	40	applied	apply	VERB
easat-3415	125	41	science	science	NOUN
easat-3415	125	42	and	and	CCONJ
easat-3415	125	43	technology	technology	NOUN
easat-3415	125	44	issn	issn	PROPN
easat-3415	125	45	:	:	PUNCT
easat-3415	125	46	2576	2576	NUM
easat-3415	125	47	-	-	SYM
easat-3415	125	48	8484	8484	NUM
easat-3415	125	49	vol	vol	NOUN
easat-3415	125	50	.	.	PROPN
easat-3415	125	51	8	8	NUM
easat-3415	125	52	,	,	PUNCT
easat-3415	125	53	no	no	INTJ
easat-3415	125	54	.	.	NOUN
easat-3415	126	1	6	6	NUM
easat-3415	126	2	:	:	SYM
easat-3415	126	3	6625	6625	NUM
easat-3415	126	4	-	-	SYM
easat-3415	126	5	6643	6643	NUM
easat-3415	126	6	,	,	PUNCT
easat-3415	126	7	2024	2024	NUM
easat-3415	126	8	doi	doi	NOUN
easat-3415	126	9	:	:	PUNCT
easat-3415	126	10	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	126	11	©	©	PROPN
easat-3415	126	12	2024	2024	NUM
easat-3415	126	13	by	by	ADP
easat-3415	126	14	the	the	DET
easat-3415	126	15	author	author	NOUN
easat-3415	126	16	;	;	PUNCT
easat-3415	126	17	licensee	licensee	PROPN
easat-3415	126	18	learning	learning	NOUN
easat-3415	126	19	gate	gate	NOUN
easat-3415	126	20	with	with	ADP
easat-3415	126	21	c	c	PROPN
easat-3415	126	22	the	the	DET
easat-3415	126	23	carrying	carry	VERB
easat-3415	126	24	capacity	capacity	NOUN
easat-3415	126	25	.	.	PUNCT
easat-3415	127	1	the	the	DET
easat-3415	127	2	periodic	periodic	ADJ
easat-3415	127	3	component	component	NOUN
easat-3415	127	4	for	for	ADP
easat-3415	127	5	seasonality	seasonality	NOUN
easat-3415	127	6	modeled	model	VERB
easat-3415	127	7	using	use	VERB
easat-3415	127	8	fourier	fourier	PROPN
easat-3415	127	9	series	series	NOUN
easat-3415	127	10	is	be	AUX
easat-3415	127	11	:	:	PUNCT
easat-3415	127	12	𝑠(𝑡	𝑠(𝑡	PROPN
easat-3415	127	13	)	)	PUNCT
easat-3415	127	14	=	=	PUNCT
easat-3415	128	1	∑	∑	PUNCT
easat-3415	128	2	(	(	PUNCT
easat-3415	128	3	𝑎𝑛𝑐𝑜𝑠	𝑎𝑛𝑐𝑜𝑠	X
easat-3415	128	4	(	(	PUNCT
easat-3415	128	5	2𝜋𝑛𝑡	2𝜋𝑛𝑡	NUM
easat-3415	128	6	𝑃	𝑃	NOUN
easat-3415	128	7	)	)	PUNCT
easat-3415	129	1	+	+	CCONJ
easat-3415	129	2	𝑏𝑛𝑠𝑖𝑛	𝑏𝑛𝑠𝑖𝑛	NOUN
easat-3415	129	3	(	(	PUNCT
easat-3415	129	4	2𝜋𝑛𝑡	2𝜋𝑛𝑡	NUM
easat-3415	129	5	𝑃	𝑃	NOUN
easat-3415	129	6	)	)	PUNCT
easat-3415	129	7	)	)	PUNCT
easat-3415	130	1	𝑁	𝑁	NOUN
easat-3415	130	2	𝑛=1	𝑛=1	NOUN
easat-3415	130	3	(	(	PUNCT
easat-3415	130	4	11	11	NUM
easat-3415	130	5	)	)	PUNCT
easat-3415	130	6	where	where	SCONJ
easat-3415	130	7	p	p	NOUN
easat-3415	130	8	is	be	AUX
easat-3415	130	9	the	the	DET
easat-3415	130	10	period	period	NOUN
easat-3415	130	11	of	of	ADP
easat-3415	130	12	seasonality	seasonality	NOUN
easat-3415	130	13	,	,	PUNCT
easat-3415	130	14	and	and	CCONJ
easat-3415	130	15	an	an	PRON
easat-3415	130	16	and	and	CCONJ
easat-3415	130	17	bn	bn	NOUN
easat-3415	130	18	are	be	AUX
easat-3415	130	19	coefficients	coefficient	NOUN
easat-3415	130	20	learned	learn	VERB
easat-3415	130	21	from	from	ADP
easat-3415	130	22	the	the	DET
easat-3415	130	23	data	datum	NOUN
easat-3415	130	24	.	.	PUNCT
easat-3415	131	1	휀𝑡	휀𝑡	NOUN
easat-3415	131	2	:	:	PUNCT
easat-3415	131	3	𝑡ℎ𝑒	𝑡ℎ𝑒	ADJ
easat-3415	131	4	𝑒𝑟𝑟𝑜𝑟	𝑒𝑟𝑟𝑜𝑟	ADJ
easat-3415	131	5	𝑡𝑒𝑟𝑚forest	𝑡𝑒𝑟𝑚for	ADJ
easat-3415	131	6	performance	performance	NOUN
easat-3415	131	7	.	.	PUNCT
easat-3415	132	1	a	a	DET
easat-3415	132	2	)	)	PUNCT
easat-3415	132	3	lstm	lstm	NOUN
easat-3415	132	4	:	:	PUNCT
easat-3415	132	5	lstm	lstm	ADJ
easat-3415	132	6	networks	network	NOUN
easat-3415	132	7	offer	offer	VERB
easat-3415	132	8	a	a	DET
easat-3415	132	9	robust	robust	ADJ
easat-3415	132	10	solution	solution	NOUN
easat-3415	132	11	for	for	ADP
easat-3415	132	12	learning	learn	VERB
easat-3415	132	13	and	and	CCONJ
easat-3415	132	14	estimating	estimate	VERB
easat-3415	132	15	the	the	DET
easat-3415	132	16	complex	complex	ADJ
easat-3415	132	17	multi	multi	ADJ
easat-3415	132	18	-	-	ADJ
easat-3415	132	19	dimensional	dimensional	ADJ
easat-3415	132	20	characteristics	characteristic	NOUN
easat-3415	132	21	of	of	ADP
easat-3415	132	22	dataset	dataset	NOUN
easat-3415	132	23	.	.	PUNCT
easat-3415	133	1	their	their	PRON
easat-3415	133	2	architecture	architecture	NOUN
easat-3415	133	3	,	,	PUNCT
easat-3415	133	4	characterized	characterize	VERB
easat-3415	133	5	by	by	ADP
easat-3415	133	6	gating	gate	VERB
easat-3415	133	7	mechanisms	mechanism	NOUN
easat-3415	133	8	,	,	PUNCT
easat-3415	133	9	enables	enable	VERB
easat-3415	133	10	them	they	PRON
easat-3415	133	11	to	to	PART
easat-3415	133	12	effectively	effectively	ADV
easat-3415	133	13	maintain	maintain	VERB
easat-3415	133	14	and	and	CCONJ
easat-3415	133	15	update	update	VERB
easat-3415	133	16	information	information	NOUN
easat-3415	133	17	over	over	ADP
easat-3415	133	18	long	long	ADJ
easat-3415	133	19	sequences	sequence	NOUN
easat-3415	133	20	effectively	effectively	ADV
easat-3415	133	21	[	[	X
easat-3415	133	22	27	27	NUM
easat-3415	133	23	]	]	PUNCT
easat-3415	133	24	,	,	PUNCT
easat-3415	133	25	[	[	X
easat-3415	133	26	28	28	NUM
easat-3415	133	27	]	]	PUNCT
easat-3415	133	28	.	.	PUNCT
easat-3415	134	1	these	these	DET
easat-3415	134	2	gates	gate	NOUN
easat-3415	134	3	,	,	PUNCT
easat-3415	134	4	forget	forget	VERB
easat-3415	134	5	,	,	PUNCT
easat-3415	134	6	input	input	NOUN
easat-3415	134	7	,	,	PUNCT
easat-3415	134	8	update	update	NOUN
easat-3415	134	9	,	,	PUNCT
easat-3415	134	10	and	and	CCONJ
easat-3415	134	11	output	output	NOUN
easat-3415	134	12	gates	gate	NOUN
easat-3415	134	13	or	or	CCONJ
easat-3415	134	14	layers	layer	NOUN
easat-3415	134	15	learn	learn	VERB
easat-3415	134	16	when	when	SCONJ
easat-3415	134	17	provided	provide	VERB
easat-3415	134	18	with	with	ADP
easat-3415	134	19	both	both	CCONJ
easat-3415	134	20	new	new	ADJ
easat-3415	134	21	inputs	input	NOUN
easat-3415	134	22	,	,	PUNCT
easat-3415	134	23	xt	xt	PUNCT
easat-3415	134	24	and	and	CCONJ
easat-3415	134	25	previous	previous	ADJ
easat-3415	134	26	output	output	NOUN
easat-3415	134	27	connections	connection	NOUN
easat-3415	134	28	ht-1	ht-1	VERB
easat-3415	134	29	from	from	ADP
easat-3415	134	30	multiple	multiple	ADJ
easat-3415	134	31	time	time	NOUN
easat-3415	134	32	intervals	interval	NOUN
easat-3415	134	33	.	.	PUNCT
easat-3415	135	1	•	•	NUM
easat-3415	135	2	forget	forget	VERB
easat-3415	135	3	:	:	PUNCT
easat-3415	135	4	controls	control	NOUN
easat-3415	135	5	which	which	PRON
easat-3415	135	6	data	datum	NOUN
easat-3415	135	7	from	from	ADP
easat-3415	135	8	the	the	DET
easat-3415	135	9	memory	memory	NOUN
easat-3415	135	10	cell	cell	NOUN
easat-3415	135	11	(	(	PUNCT
easat-3415	135	12	pipeline	pipeline	NOUN
easat-3415	135	13	)	)	PUNCT
easat-3415	135	14	must	must	AUX
easat-3415	135	15	be	be	AUX
easat-3415	135	16	chopped	chop	VERB
easat-3415	135	17	off	off	ADP
easat-3415	135	18	.	.	PUNCT
easat-3415	136	1	ft=	ft=	PROPN
easat-3415	136	2	σ	σ	PROPN
easat-3415	136	3	(	(	PUNCT
easat-3415	136	4	wf	wf	PROPN
easat-3415	136	5	ht-1	ht-1	PUNCT
easat-3415	136	6	+	+	PROPN
easat-3415	136	7	wf	wf	PROPN
easat-3415	136	8	xt	xt	PROPN
easat-3415	136	9	)	)	PUNCT
easat-3415	136	10	(	(	PUNCT
easat-3415	136	11	12	12	NUM
easat-3415	136	12	)	)	PUNCT
easat-3415	136	13	•	•	NUM
easat-3415	136	14	input	input	NOUN
easat-3415	136	15	:	:	PUNCT
easat-3415	136	16	decides	decide	VERB
easat-3415	136	17	what	what	PRON
easat-3415	136	18	new	new	ADJ
easat-3415	136	19	data	datum	NOUN
easat-3415	136	20	to	to	PART
easat-3415	136	21	retain	retain	VERB
easat-3415	136	22	in	in	ADP
easat-3415	136	23	the	the	DET
easat-3415	136	24	memory	memory	NOUN
easat-3415	136	25	pipe	pipe	NOUN
easat-3415	136	26	.	.	PUNCT
easat-3415	137	1	it=	it=	PROPN
easat-3415	137	2	σ	σ	PROPN
easat-3415	137	3	(	(	PUNCT
easat-3415	137	4	wi	wi	PROPN
easat-3415	137	5	ht-1	ht-1	PROPN
easat-3415	137	6	+	+	PROPN
easat-3415	137	7	wi	wi	PROPN
easat-3415	137	8	xt	xt	PROPN
easat-3415	137	9	)	)	PUNCT
easat-3415	137	10	(	(	PUNCT
easat-3415	137	11	13	13	NUM
easat-3415	137	12	)	)	PUNCT
easat-3415	137	13	a	a	DET
easat-3415	137	14	tanh	tanh	NOUN
easat-3415	137	15	layer	layer	NOUN
easat-3415	137	16	follows	follow	VERB
easat-3415	137	17	,	,	PUNCT
easat-3415	137	18	creating	create	VERB
easat-3415	137	19	a	a	DET
easat-3415	137	20	vector	vector	NOUN
easat-3415	137	21	of	of	ADP
easat-3415	137	22	fresh	fresh	ADJ
easat-3415	137	23	contender	contender	NOUN
easat-3415	137	24	values	value	NOUN
easat-3415	137	25	,	,	PUNCT
easat-3415	137	26	čt	čt	PROPN
easat-3415	137	27	,	,	PUNCT
easat-3415	137	28	which	which	PRON
easat-3415	137	29	may	may	AUX
easat-3415	137	30	be	be	AUX
easat-3415	137	31	included	include	VERB
easat-3415	137	32	in	in	ADP
easat-3415	137	33	the	the	DET
easat-3415	137	34	state	state	NOUN
easat-3415	137	35	.	.	PUNCT
easat-3415	138	1	čt	čt	PROPN
easat-3415	138	2	=	=	PUNCT
easat-3415	138	3	tanh	tanh	PROPN
easat-3415	138	4	(	(	PUNCT
easat-3415	138	5	wč	wč	NOUN
easat-3415	138	6	ht-1	ht-1	NOUN
easat-3415	138	7	+	+	X
easat-3415	138	8	wč	wč	NOUN
easat-3415	138	9	xt	xt	X
easat-3415	138	10	)	)	PUNCT
easat-3415	138	11	(	(	PUNCT
easat-3415	138	12	14	14	NUM
easat-3415	138	13	)	)	PUNCT
easat-3415	138	14	•	•	NUM
easat-3415	138	15	update	update	NOUN
easat-3415	138	16	:	:	PUNCT
easat-3415	138	17	in	in	ADP
easat-3415	138	18	this	this	DET
easat-3415	138	19	procedure	procedure	NOUN
easat-3415	138	20	,	,	PUNCT
easat-3415	138	21	the	the	DET
easat-3415	138	22	forget	forget	NOUN
easat-3415	138	23	vector	vector	NOUN
easat-3415	138	24	is	be	AUX
easat-3415	138	25	first	first	ADV
easat-3415	138	26	multiplied	multiply	VERB
easat-3415	138	27	pointwise	pointwise	ADV
easat-3415	138	28	by	by	ADP
easat-3415	138	29	cell	cell	NOUN
easat-3415	138	30	state	state	NOUN
easat-3415	138	31	.	.	PUNCT
easat-3415	139	1	after	after	SCONJ
easat-3415	139	2	the	the	DET
easat-3415	139	3	return	return	NOUN
easat-3415	139	4	of	of	ADP
easat-3415	139	5	the	the	DET
easat-3415	139	6	input	input	NOUN
easat-3415	139	7	gate	gate	NOUN
easat-3415	139	8	is	be	AUX
easat-3415	139	9	acquired	acquire	VERB
easat-3415	139	10	,	,	PUNCT
easat-3415	139	11	a	a	DET
easat-3415	139	12	pointwise	pointwise	ADJ
easat-3415	139	13	additive	additive	NOUN
easat-3415	139	14	is	be	AUX
easat-3415	139	15	executed	execute	VERB
easat-3415	139	16	to	to	PART
easat-3415	139	17	amend	amend	VERB
easat-3415	139	18	the	the	DET
easat-3415	139	19	cell	cell	NOUN
easat-3415	139	20	state	state	NOUN
easat-3415	139	21	with	with	ADP
easat-3415	139	22	fresh	fresh	ADJ
easat-3415	139	23	parameters	parameter	NOUN
easat-3415	139	24	that	that	SCONJ
easat-3415	139	25	the	the	DET
easat-3415	139	26	machine	machine	NOUN
easat-3415	139	27	learning	learn	VERB
easat-3415	139	28	algorithm	algorithm	PROPN
easat-3415	139	29	judges	judge	NOUN
easat-3415	139	30	important	important	ADJ
easat-3415	139	31	.	.	PUNCT
easat-3415	140	1	ct	ct	X
easat-3415	141	1	=	=	PUNCT
easat-3415	141	2	ftct-1	ftct-1	PROPN
easat-3415	141	3	+	+	CCONJ
easat-3415	141	4	it	it	PRON
easat-3415	141	5	*	*	PUNCT
easat-3415	141	6	čt	čt	INTJ
easat-3415	141	7	(	(	PUNCT
easat-3415	141	8	15	15	NUM
easat-3415	141	9	)	)	PUNCT
easat-3415	141	10	•	•	NOUN
easat-3415	141	11	output	output	NOUN
easat-3415	141	12	:	:	PUNCT
easat-3415	141	13	concludes	conclude	VERB
easat-3415	141	14	what	what	PRON
easat-3415	141	15	would	would	AUX
easat-3415	141	16	make	make	VERB
easat-3415	141	17	the	the	DET
easat-3415	141	18	next	next	ADJ
easat-3415	141	19	hidden	hidden	ADJ
easat-3415	141	20	state	state	NOUN
easat-3415	141	21	.	.	PUNCT
easat-3415	142	1	ot	ot	NOUN
easat-3415	142	2	=	=	PUNCT
easat-3415	142	3	σ	σ	PROPN
easat-3415	142	4	(	(	PUNCT
easat-3415	142	5	wo	will	AUX
easat-3415	142	6	ht-1	ht-1	VERB
easat-3415	142	7	+	+	CCONJ
easat-3415	142	8	wo	will	AUX
easat-3415	142	9	xt	xt	VERB
easat-3415	142	10	)	)	PUNCT
easat-3415	142	11	(	(	PUNCT
easat-3415	142	12	16	16	NUM
easat-3415	142	13	)	)	PUNCT
easat-3415	142	14	ht	ht	NOUN
easat-3415	142	15	=	=	PUNCT
easat-3415	142	16	ot*tanh(ct	ot*tanh(ct	PROPN
easat-3415	142	17	)	)	PUNCT
easat-3415	142	18	(	(	PUNCT
easat-3415	142	19	17	17	NUM
easat-3415	142	20	)	)	PUNCT
easat-3415	142	21	this	this	DET
easat-3415	142	22	architecture	architecture	NOUN
easat-3415	142	23	makes	make	VERB
easat-3415	142	24	lstms	lstms	ADJ
easat-3415	142	25	a	a	DET
easat-3415	142	26	fundamental	fundamental	ADJ
easat-3415	142	27	tool	tool	NOUN
easat-3415	142	28	in	in	ADP
easat-3415	142	29	modern	modern	ADJ
easat-3415	142	30	machine	machine	NOUN
easat-3415	142	31	learning	learn	VERB
easat-3415	142	32	for	for	ADP
easat-3415	142	33	tasks	task	NOUN
easat-3415	142	34	that	that	PRON
easat-3415	142	35	need	need	VERB
easat-3415	142	36	to	to	PART
easat-3415	142	37	understand	understand	VERB
easat-3415	142	38	and	and	CCONJ
easat-3415	142	39	predict	predict	VERB
easat-3415	142	40	sequences	sequence	NOUN
easat-3415	142	41	and	and	CCONJ
easat-3415	142	42	capture	capture	VERB
easat-3415	142	43	patterns	pattern	NOUN
easat-3415	142	44	that	that	PRON
easat-3415	142	45	span	span	VERB
easat-3415	142	46	across	across	ADP
easat-3415	142	47	different	different	ADJ
easat-3415	142	48	time	time	NOUN
easat-3415	142	49	scales	scale	NOUN
easat-3415	142	50	.	.	PUNCT
easat-3415	143	1	3.1.3	3.1.3	X
easat-3415	143	2	.	.	PUNCT
easat-3415	143	3	hybrid	hybrid	ADJ
easat-3415	143	4	approaches	approach	NOUN
easat-3415	143	5	classical	classical	ADJ
easat-3415	143	6	machine	machine	NOUN
easat-3415	143	7	learning	learning	NOUN
easat-3415	143	8	models	model	NOUN
easat-3415	143	9	and	and	CCONJ
easat-3415	143	10	traditional	traditional	ADJ
easat-3415	143	11	time	time	NOUN
easat-3415	143	12	-	-	PUNCT
easat-3415	143	13	series	series	NOUN
easat-3415	143	14	approaches	approach	NOUN
easat-3415	143	15	struggle	struggle	VERB
easat-3415	143	16	to	to	PART
easat-3415	143	17	handle	handle	VERB
easat-3415	143	18	the	the	DET
easat-3415	143	19	complexities	complexity	NOUN
easat-3415	143	20	of	of	ADP
easat-3415	143	21	advanced	advanced	ADJ
easat-3415	143	22	mobile	mobile	ADJ
easat-3415	143	23	networks	network	NOUN
easat-3415	143	24	of	of	ADP
easat-3415	143	25	the	the	DET
easat-3415	143	26	likes	like	NOUN
easat-3415	143	27	of	of	ADP
easat-3415	143	28	5	5	NUM
easat-3415	143	29	g	g	NOUN
easat-3415	143	30	networks	network	NOUN
easat-3415	143	31	due	due	ADP
easat-3415	143	32	to	to	ADP
easat-3415	143	33	their	their	PRON
easat-3415	143	34	inability	inability	NOUN
easat-3415	143	35	to	to	PART
easat-3415	143	36	capture	capture	VERB
easat-3415	143	37	nonlinear	nonlinear	ADJ
easat-3415	143	38	relationships	relationship	NOUN
easat-3415	143	39	,	,	PUNCT
easat-3415	143	40	limited	limited	ADJ
easat-3415	143	41	temporal	temporal	ADJ
easat-3415	143	42	understanding	understanding	NOUN
easat-3415	143	43	,	,	PUNCT
easat-3415	143	44	inefficiency	inefficiency	NOUN
easat-3415	143	45	with	with	ADP
easat-3415	143	46	high	high	ADJ
easat-3415	143	47	-	-	PUNCT
easat-3415	143	48	dimensional	dimensional	ADJ
easat-3415	143	49	data	datum	NOUN
easat-3415	143	50	,	,	PUNCT
easat-3415	143	51	and	and	CCONJ
easat-3415	143	52	poor	poor	ADJ
easat-3415	143	53	adaptability	adaptability	NOUN
easat-3415	143	54	to	to	ADP
easat-3415	143	55	real	real	ADJ
easat-3415	143	56	-	-	PUNCT
easat-3415	143	57	time	time	NOUN
easat-3415	143	58	conditions	condition	NOUN
easat-3415	143	59	in	in	ADP
easat-3415	143	60	modern	modern	ADJ
easat-3415	143	61	mobile	mobile	ADJ
easat-3415	143	62	network	network	NOUN
easat-3415	143	63	planning	planning	NOUN
easat-3415	143	64	,	,	PUNCT
easat-3415	143	65	hybrid	hybrid	NOUN
easat-3415	143	66	-	-	PUNCT
easat-3415	143	67	based	base	VERB
easat-3415	143	68	prediction	prediction	NOUN
easat-3415	143	69	models	model	NOUN
easat-3415	143	70	are	be	AUX
easat-3415	143	71	considered	consider	VERB
easat-3415	143	72	game	game	NOUN
easat-3415	143	73	changers	changer	NOUN
easat-3415	143	74	because	because	SCONJ
easat-3415	143	75	they	they	PRON
easat-3415	143	76	often	often	ADV
easat-3415	143	77	produce	produce	VERB
easat-3415	143	78	more	more	ADV
easat-3415	143	79	accurate	accurate	ADJ
easat-3415	143	80	results	result	NOUN
easat-3415	143	81	than	than	ADP
easat-3415	143	82	classical	classical	ADJ
easat-3415	143	83	or	or	CCONJ
easat-3415	143	84	time	time	NOUN
easat-3415	143	85	-	-	PUNCT
easat-3415	143	86	series	series	NOUN
easat-3415	143	87	models	model	NOUN
easat-3415	143	88	alone	alone	ADV
easat-3415	143	89	.	.	PUNCT
easat-3415	144	1	hybrid	hybrid	ADJ
easat-3415	144	2	approaches	approach	NOUN
easat-3415	144	3	combine	combine	VERB
easat-3415	144	4	the	the	DET
easat-3415	144	5	strengths	strength	NOUN
easat-3415	144	6	of	of	ADP
easat-3415	144	7	different	different	ADJ
easat-3415	144	8	models	model	NOUN
easat-3415	144	9	while	while	SCONJ
easat-3415	144	10	mitigating	mitigate	VERB
easat-3415	144	11	their	their	PRON
easat-3415	144	12	limitations	limitation	NOUN
easat-3415	144	13	.	.	PUNCT
easat-3415	145	1	for	for	ADP
easat-3415	145	2	instance	instance	NOUN
easat-3415	145	3	,	,	PUNCT
easat-3415	145	4	time	time	NOUN
easat-3415	145	5	series	series	NOUN
easat-3415	145	6	models	model	NOUN
easat-3415	145	7	can	can	AUX
easat-3415	145	8	extract	extract	VERB
easat-3415	145	9	features	feature	NOUN
easat-3415	145	10	such	such	ADJ
easat-3415	145	11	as	as	ADP
easat-3415	145	12	trends	trend	NOUN
easat-3415	145	13	and	and	CCONJ
easat-3415	145	14	seasonality	seasonality	NOUN
easat-3415	145	15	,	,	PUNCT
easat-3415	145	16	which	which	PRON
easat-3415	145	17	are	be	AUX
easat-3415	145	18	then	then	ADV
easat-3415	145	19	fed	feed	VERB
easat-3415	145	20	into	into	ADP
easat-3415	145	21	classical	classical	ADJ
easat-3415	145	22	machine	machine	NOUN
easat-3415	145	23	learning	learning	NOUN
easat-3415	145	24	models	model	NOUN
easat-3415	145	25	for	for	ADP
easat-3415	145	26	further	further	ADJ
easat-3415	145	27	analysis	analysis	NOUN
easat-3415	145	28	and	and	CCONJ
easat-3415	145	29	prediction	prediction	NOUN
easat-3415	145	30	.	.	PUNCT
easat-3415	146	1	additionally	additionally	ADV
easat-3415	146	2	,	,	PUNCT
easat-3415	146	3	regression	regression	NOUN
easat-3415	146	4	can	can	AUX
easat-3415	146	5	be	be	AUX
easat-3415	146	6	combined	combine	VERB
easat-3415	146	7	with	with	ADP
easat-3415	146	8	classification	classification	NOUN
easat-3415	146	9	techniques	technique	NOUN
easat-3415	146	10	,	,	PUNCT
easat-3415	146	11	and	and	CCONJ
easat-3415	146	12	ensemble	ensemble	ADJ
easat-3415	146	13	approaches	approach	NOUN
easat-3415	146	14	can	can	AUX
easat-3415	146	15	blend	blend	VERB
easat-3415	146	16	the	the	DET
easat-3415	146	17	predictions	prediction	NOUN
easat-3415	146	18	from	from	ADP
easat-3415	146	19	both	both	DET
easat-3415	146	20	time	time	NOUN
easat-3415	146	21	series	series	NOUN
easat-3415	146	22	models	model	NOUN
easat-3415	146	23	and	and	CCONJ
easat-3415	146	24	ml	ml	NOUN
easat-3415	146	25	models	model	NOUN
easat-3415	146	26	to	to	PART
easat-3415	146	27	boost	boost	VERB
easat-3415	146	28	precision	precision	NOUN
easat-3415	146	29	and	and	CCONJ
easat-3415	146	30	robustness	robustness	NOUN
easat-3415	146	31	.	.	PUNCT
easat-3415	147	1	the	the	DET
easat-3415	147	2	hybrid	hybrid	ADJ
easat-3415	147	3	methodology	methodology	NOUN
easat-3415	147	4	employed	employ	VERB
easat-3415	147	5	in	in	ADP
easat-3415	147	6	this	this	DET
easat-3415	147	7	study	study	NOUN
easat-3415	147	8	follows	follow	VERB
easat-3415	147	9	several	several	ADJ
easat-3415	147	10	key	key	ADJ
easat-3415	147	11	stages	stage	NOUN
easat-3415	147	12	:	:	PUNCT
easat-3415	147	13	data	datum	NOUN
easat-3415	147	14	processing	processing	NOUN
easat-3415	147	15	and	and	CCONJ
easat-3415	147	16	feature	feature	NOUN
easat-3415	147	17	extraction	extraction	NOUN
easat-3415	147	18	,	,	PUNCT
easat-3415	147	19	clustering	clustering	ADJ
easat-3415	147	20	technique	technique	NOUN
easat-3415	147	21	development	development	NOUN
easat-3415	147	22	,	,	PUNCT
easat-3415	147	23	preparation	preparation	NOUN
easat-3415	147	24	of	of	ADP
easat-3415	147	25	data	datum	NOUN
easat-3415	147	26	for	for	ADP
easat-3415	147	27	lstm	lstm	NOUN
easat-3415	147	28	,	,	PUNCT
easat-3415	147	29	training	training	NOUN
easat-3415	147	30	of	of	ADP
easat-3415	147	31	lstm	lstm	NOUN
easat-3415	147	32	models	model	NOUN
easat-3415	147	33	for	for	ADP
easat-3415	147	34	each	each	DET
easat-3415	147	35	cluster	cluster	NOUN
easat-3415	147	36	,	,	PUNCT
easat-3415	147	37	and	and	CCONJ
easat-3415	147	38	evaluation	evaluation	NOUN
easat-3415	147	39	of	of	ADP
easat-3415	147	40	model	model	NOUN
easat-3415	147	41	performance	performance	NOUN
easat-3415	147	42	.	.	PUNCT
easat-3415	148	1	the	the	DET
easat-3415	148	2	pseudocode	pseudocode	PROPN
easat-3415	148	3	below	below	ADV
easat-3415	148	4	provides	provide	VERB
easat-3415	148	5	a	a	DET
easat-3415	148	6	detailed	detailed	ADJ
easat-3415	148	7	overview	overview	NOUN
easat-3415	148	8	of	of	ADP
easat-3415	148	9	the	the	DET
easat-3415	148	10	steps	step	NOUN
easat-3415	148	11	involved	involve	VERB
easat-3415	148	12	in	in	ADP
easat-3415	148	13	the	the	DET
easat-3415	148	14	proposed	propose	VERB
easat-3415	148	15	method	method	NOUN
easat-3415	148	16	.	.	PUNCT
easat-3415	149	1	6631	6631	NUM
easat-3415	149	2	edelweiss	edelweiss	PROPN
easat-3415	149	3	applied	apply	VERB
easat-3415	149	4	science	science	NOUN
easat-3415	149	5	and	and	CCONJ
easat-3415	149	6	technology	technology	NOUN
easat-3415	149	7	issn	issn	PROPN
easat-3415	149	8	:	:	PUNCT
easat-3415	149	9	2576	2576	NUM
easat-3415	149	10	-	-	SYM
easat-3415	149	11	8484	8484	NUM
easat-3415	149	12	vol	vol	NOUN
easat-3415	149	13	.	.	PROPN
easat-3415	149	14	8	8	NUM
easat-3415	149	15	,	,	PUNCT
easat-3415	149	16	no	no	INTJ
easat-3415	149	17	.	.	NOUN
easat-3415	150	1	6	6	NUM
easat-3415	150	2	:	:	SYM
easat-3415	150	3	6625	6625	NUM
easat-3415	150	4	-	-	SYM
easat-3415	150	5	6643	6643	NUM
easat-3415	150	6	,	,	PUNCT
easat-3415	150	7	2024	2024	NUM
easat-3415	150	8	doi	doi	NOUN
easat-3415	150	9	:	:	PUNCT
easat-3415	150	10	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	150	11	©	©	PROPN
easat-3415	150	12	2024	2024	NUM
easat-3415	150	13	by	by	ADP
easat-3415	150	14	the	the	DET
easat-3415	150	15	author	author	NOUN
easat-3415	150	16	;	;	PUNCT
easat-3415	150	17	licensee	licensee	PROPN
easat-3415	150	18	learning	learning	NOUN
easat-3415	150	19	gate	gate	NOUN
easat-3415	150	20	begin	begin	VERB
easat-3415	150	21	//	//	X
easat-3415	150	22	1_import	1_import	NUM
easat-3415	150	23	required	require	VERB
easat-3415	150	24	libraries	library	NOUN
easat-3415	150	25	&	&	CCONJ
easat-3415	150	26	dataset	dataset	ADJ
easat-3415	150	27	input	input	NOUN
easat-3415	150	28	:	:	PUNCT
easat-3415	150	29	get	get	AUX
easat-3415	150	30	libraries	library	NOUN
easat-3415	150	31	get	get	VERB
easat-3415	150	32	dataset	dataset	ADJ
easat-3415	150	33	load	load	NOUN
easat-3415	150	34	dataset	dataset	VERB
easat-3415	150	35	'	'	PUNCT
easat-3415	150	36	/path	/path	NOUN
easat-3415	150	37	/	/	SYM
easat-3415	150	38	data.excel	data.excel	PROPN
easat-3415	150	39	'	'	PUNCT
easat-3415	150	40	into	into	ADP
easat-3415	150	41	dataframe	dataframe	PROPN
easat-3415	150	42	(	(	PUNCT
easat-3415	150	43	df	df	NOUN
easat-3415	150	44	)	)	PUNCT
easat-3415	150	45	convert	convert	VERB
easat-3415	150	46	'	'	PUNCT
easat-3415	150	47	timestamp	timestamp	NOUN
easat-3415	150	48	'	'	PUNCT
easat-3415	150	49	column	column	NOUN
easat-3415	150	50	to	to	PART
easat-3415	150	51	datetime	datetime	VERB
easat-3415	150	52	sort	sort	ADV
easat-3415	150	53	dataframe	dataframe	ADJ
easat-3415	150	54	(	(	PUNCT
easat-3415	150	55	df	df	PROPN
easat-3415	150	56	)	)	PUNCT
easat-3415	150	57	by	by	ADP
easat-3415	150	58	'	'	PUNCT
easat-3415	150	59	timestamp	timestamp	NOUN
easat-3415	150	60	'	'	PUNCT
easat-3415	150	61	extract	extract	NOUN
easat-3415	150	62	features	feature	VERB
easat-3415	150	63	'	'	PUNCT
easat-3415	150	64	hour	hour	NOUN
easat-3415	150	65	'	'	PUNCT
easat-3415	150	66	,	,	PUNCT
easat-3415	150	67	'	'	PUNCT
easat-3415	150	68	dayofweek	dayofweek	ADJ
easat-3415	150	69	'	'	PUNCT
easat-3415	150	70	,	,	PUNCT
easat-3415	150	71	'	'	PUNCT
easat-3415	150	72	month	month	NOUN
easat-3415	150	73	'	'	PUNCT
easat-3415	150	74	from	from	ADP
easat-3415	150	75	'	'	PUNCT
easat-3415	150	76	timestamp	timestamp	NOUN
easat-3415	150	77	'	'	PUNCT
easat-3415	150	78	extract	extract	NOUN
easat-3415	150	79	'	'	PUNCT
easat-3415	150	80	signal	signal	ADJ
easat-3415	150	81	strength	strength	NOUN
easat-3415	150	82	(	(	PUNCT
easat-3415	150	83	dbm	dbm	NOUN
easat-3415	150	84	)	)	PUNCT
easat-3415	150	85	'	'	PART
easat-3415	150	86	column	column	NOUN
easat-3415	150	87	into	into	ADP
easat-3415	150	88	variable	variable	ADJ
easat-3415	150	89	(	(	PUNCT
easat-3415	150	90	signal_data	signal_data	PROPN
easat-3415	150	91	)	)	PUNCT
easat-3415	150	92	end	end	NOUN
easat-3415	150	93	//	//	PUNCT
easat-3415	150	94	2_pre	2_pre	NUM
easat-3415	150	95	-	-	PUNCT
easat-3415	150	96	processing	processing	NOUN
easat-3415	150	97	for	for	ADP
easat-3415	150	98	each	each	DET
easat-3415	150	99	feature	feature	NOUN
easat-3415	150	100	in	in	ADP
easat-3415	150	101	dataset	dataset	NOUN
easat-3415	150	102	if	if	SCONJ
easat-3415	150	103	missing_value_count	missing_value_count	PROPN
easat-3415	150	104	(	(	PUNCT
easat-3415	150	105	feature	feature	NOUN
easat-3415	150	106	)	)	PUNCT
easat-3415	150	107	is	be	AUX
easat-3415	150	108	less	less	ADJ
easat-3415	150	109	than	than	ADP
easat-3415	150	110	threshold	threshold	NOUN
easat-3415	150	111	call	call	NOUN
easat-3415	150	112	fill_missing_value(mean	fill_missing_value(mean	ADJ
easat-3415	150	113	)	)	PUNCT
easat-3415	150	114	else	else	ADV
easat-3415	150	115	call	call	NOUN
easat-3415	150	116	remove_records	remove_records	PROPN
easat-3415	150	117	endif	endif	NOUN
easat-3415	150	118	endfor	endfor	PROPN
easat-3415	150	119	//	//	NUM
easat-3415	150	120	3	3	NUM
easat-3415	150	121	_	_	DET
easat-3415	150	122	scale	scale	NOUN
easat-3415	150	123	initialize	initialize	NOUN
easat-3415	150	124	standardscaler	standardscaler	NOUN
easat-3415	150	125	scale	scale	NOUN
easat-3415	150	126	features	feature	NOUN
easat-3415	150	127	'	'	PUNCT
easat-3415	150	128	signal	signal	ADJ
easat-3415	150	129	strength	strength	NOUN
easat-3415	150	130	(	(	PUNCT
easat-3415	150	131	dbm	dbm	PROPN
easat-3415	150	132	)	)	PUNCT
easat-3415	150	133	'	'	PUNCT
easat-3415	150	134	,	,	PUNCT
easat-3415	150	135	'	'	PUNCT
easat-3415	150	136	hour	hour	NOUN
easat-3415	150	137	'	'	PUNCT
easat-3415	150	138	,	,	PUNCT
easat-3415	150	139	'	'	PUNCT
easat-3415	150	140	dayofweek	dayofweek	ADJ
easat-3415	150	141	'	'	PUNCT
easat-3415	150	142	,	,	PUNCT
easat-3415	150	143	'	'	PUNCT
easat-3415	150	144	month	month	NOUN
easat-3415	150	145	'	'	PUNCT
easat-3415	150	146	store	store	NOUN
easat-3415	150	147	scaled	scale	VERB
easat-3415	150	148	features	feature	NOUN
easat-3415	150	149	in	in	ADP
easat-3415	150	150	variable	variable	NOUN
easat-3415	150	151	(	(	PUNCT
easat-3415	150	152	df_scaled	df_scaled	PROPN
easat-3415	150	153	)	)	PUNCT
easat-3415	150	154	//	//	NOUN
easat-3415	150	155	4_dbscan	4_dbscan	NUM
easat-3415	150	156	clustering	cluster	VERB
easat-3415	150	157	initialize	initialize	NOUN
easat-3415	150	158	dbscan	dbscan	NOUN
easat-3415	150	159	with	with	ADP
easat-3415	150	160	eps	eps	PROPN
easat-3415	150	161	and	and	CCONJ
easat-3415	150	162	min_samples	min_sample	NOUN
easat-3415	150	163	6632	6632	NUM
easat-3415	150	164	edelweiss	edelweiss	PROPN
easat-3415	150	165	applied	apply	VERB
easat-3415	150	166	science	science	NOUN
easat-3415	150	167	and	and	CCONJ
easat-3415	150	168	technology	technology	NOUN
easat-3415	150	169	issn	issn	PROPN
easat-3415	150	170	:	:	PUNCT
easat-3415	150	171	2576	2576	NUM
easat-3415	150	172	-	-	SYM
easat-3415	150	173	8484	8484	NUM
easat-3415	150	174	vol	vol	NOUN
easat-3415	150	175	.	.	PROPN
easat-3415	151	1	8	8	NUM
easat-3415	151	2	,	,	PUNCT
easat-3415	151	3	no	no	INTJ
easat-3415	151	4	.	.	NOUN
easat-3415	152	1	6	6	NUM
easat-3415	152	2	:	:	SYM
easat-3415	152	3	6625	6625	NUM
easat-3415	152	4	-	-	SYM
easat-3415	152	5	6643	6643	NUM
easat-3415	152	6	,	,	PUNCT
easat-3415	152	7	2024	2024	NUM
easat-3415	152	8	doi	doi	NOUN
easat-3415	152	9	:	:	PUNCT
easat-3415	152	10	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	152	11	©	©	PROPN
easat-3415	152	12	2024	2024	NUM
easat-3415	152	13	by	by	ADP
easat-3415	152	14	the	the	DET
easat-3415	152	15	author	author	NOUN
easat-3415	152	16	;	;	PUNCT
easat-3415	152	17	licensee	licensee	PROPN
easat-3415	152	18	learning	learn	VERB
easat-3415	152	19	gate	gate	NOUN
easat-3415	152	20	apply	apply	VERB
easat-3415	152	21	dbscan	dbscan	NOUN
easat-3415	152	22	clustering	cluster	VERB
easat-3415	152	23	to	to	ADP
easat-3415	152	24	(	(	PUNCT
easat-3415	152	25	df_scaled	df_scaled	ADJ
easat-3415	152	26	)	)	PUNCT
easat-3415	152	27	assign	assign	NOUN
easat-3415	152	28	cluster	cluster	NOUN
easat-3415	152	29	labels	label	NOUN
easat-3415	152	30	to	to	ADP
easat-3415	152	31	dataframe	dataframe	PROPN
easat-3415	152	32	(	(	PUNCT
easat-3415	152	33	df['cluster	df['cluster	PROPN
easat-3415	152	34	'	'	PART
easat-3415	152	35	]	]	PUNCT
easat-3415	152	36	)	)	PUNCT
easat-3415	152	37	filter	filter	NOUN
easat-3415	152	38	dataframe	dataframe	ADJ
easat-3415	152	39	to	to	PART
easat-3415	152	40	remove	remove	VERB
easat-3415	152	41	records	record	NOUN
easat-3415	152	42	where	where	SCONJ
easat-3415	152	43	cluster	cluster	NOUN
easat-3415	152	44	=	=	NOUN
easat-3415	152	45	=	=	SYM
easat-3415	152	46	-1	-1	PROPN
easat-3415	152	47	(	(	PUNCT
easat-3415	152	48	noise	noise	NOUN
easat-3415	152	49	points	point	NOUN
easat-3415	152	50	)	)	PUNCT
easat-3415	152	51	display	display	NOUN
easat-3415	152	52	cluster	cluster	NOUN
easat-3415	152	53	distribution	distribution	NOUN
easat-3415	152	54	in	in	ADP
easat-3415	152	55	dataframe	dataframe	PROPN
easat-3415	152	56	//	//	NOUN
easat-3415	152	57	5	5	NUM
easat-3415	152	58	_	_	NOUN
easat-3415	152	59	sequence	sequence	NOUN
easat-3415	152	60	preparation	preparation	NOUN
easat-3415	152	61	for	for	ADP
easat-3415	152	62	lstm	lstm	NOUN
easat-3415	152	63	function	function	NOUN
easat-3415	152	64	create_sequences	create_sequence	NOUN
easat-3415	152	65	(	(	PUNCT
easat-3415	152	66	data	datum	NOUN
easat-3415	152	67	,	,	PUNCT
easat-3415	152	68	time_steps	time_step	NOUN
easat-3415	152	69	):	):	PUNCT
easat-3415	152	70	initialize	initialize	VERB
easat-3415	152	71	empty	empty	ADJ
easat-3415	152	72	lists	list	NOUN
easat-3415	152	73	x	x	X
easat-3415	152	74	,	,	PUNCT
easat-3415	152	75	y	y	PROPN
easat-3415	152	76	for	for	ADP
easat-3415	152	77	each	each	DET
easat-3415	152	78	index	index	NOUN
easat-3415	152	79	from	from	ADP
easat-3415	152	80	0	0	NUM
easat-3415	152	81	to	to	PART
easat-3415	152	82	len(data	len(data	VERB
easat-3415	152	83	)	)	PUNCT
easat-3415	152	84	time_steps	time_step	NOUN
easat-3415	152	85	:	:	PUNCT
easat-3415	152	86	append	append	VERB
easat-3415	152	87	time_step	time_step	NOUN
easat-3415	152	88	sequence	sequence	NOUN
easat-3415	152	89	to	to	PART
easat-3415	152	90	x	x	PART
easat-3415	152	91	append	append	VERB
easat-3415	152	92	next	next	ADJ
easat-3415	152	93	value	value	NOUN
easat-3415	152	94	to	to	ADP
easat-3415	152	95	y	y	PROPN
easat-3415	152	96	return	return	VERB
easat-3415	152	97	x	x	PRON
easat-3415	152	98	,	,	PUNCT
easat-3415	152	99	y	y	PROPN
easat-3415	152	100	end	end	VERB
easat-3415	152	101	function	function	NOUN
easat-3415	152	102	set	set	VERB
easat-3415	152	103	time_steps	time_steps	DET
easat-3415	152	104	variable	variable	NOUN
easat-3415	152	105	(	(	PUNCT
easat-3415	152	106	e.g.	e.g.	ADV
easat-3415	152	107	,	,	PUNCT
easat-3415	152	108	10	10	NUM
easat-3415	152	109	)	)	PUNCT
easat-3415	152	110	initialize	initialize	VERB
easat-3415	152	111	dictionary	dictionary	ADJ
easat-3415	152	112	'	'	PUNCT
easat-3415	152	113	cluster_data	cluster_data	NOUN
easat-3415	152	114	'	'	PUNCT
easat-3415	152	115	for	for	ADP
easat-3415	152	116	sequences	sequence	NOUN
easat-3415	152	117	for	for	ADP
easat-3415	152	118	each	each	DET
easat-3415	152	119	unique	unique	ADJ
easat-3415	152	120	cluster	cluster	NOUN
easat-3415	152	121	in	in	ADP
easat-3415	152	122	dataframe	dataframe	PROPN
easat-3415	152	123	(	(	PUNCT
easat-3415	152	124	df['cluster	df['cluster	PROPN
easat-3415	152	125	'	'	PART
easat-3415	152	126	]	]	NOUN
easat-3415	152	127	):	):	PUNCT
easat-3415	152	128	filter	filter	NOUN
easat-3415	152	129	data	datum	NOUN
easat-3415	152	130	points	point	NOUN
easat-3415	152	131	for	for	ADP
easat-3415	152	132	the	the	DET
easat-3415	152	133	cluster	cluster	NOUN
easat-3415	152	134	create	create	VERB
easat-3415	152	135	sequences	sequence	NOUN
easat-3415	152	136	using	use	VERB
easat-3415	152	137	create_sequences	create_sequence	NOUN
easat-3415	152	138	store	store	VERB
easat-3415	152	139	sequences	sequence	NOUN
easat-3415	152	140	in	in	ADP
easat-3415	152	141	'	'	PUNCT
easat-3415	152	142	cluster_data	cluster_data	PROPN
easat-3415	152	143	'	'	PUNCT
easat-3415	152	144	endfor	endfor	NOUN
easat-3415	152	145	//	//	NUM
easat-3415	152	146	6	6	NUM
easat-3415	152	147	_	_	DET
easat-3415	152	148	train	train	NOUN
easat-3415	152	149	–	–	PUNCT
easat-3415	152	150	test	test	NOUN
easat-3415	152	151	split	split	NOUN
easat-3415	152	152	initialize	initialize	VERB
easat-3415	152	153	dictionary	dictionary	ADJ
easat-3415	152	154	'	'	PUNCT
easat-3415	152	155	train_test_data	train_test_data	SYM
easat-3415	152	156	'	'	PUNCT
easat-3415	152	157	for	for	ADP
easat-3415	152	158	each	each	DET
easat-3415	152	159	cluster	cluster	NOUN
easat-3415	152	160	in	in	ADP
easat-3415	152	161	'	'	PUNCT
easat-3415	152	162	cluster_data	cluster_data	NOUN
easat-3415	152	163	'	'	PUNCT
easat-3415	152	164	:	:	PUNCT
easat-3415	152	165	split	split	VERB
easat-3415	152	166	sequences	sequence	NOUN
easat-3415	152	167	into	into	ADP
easat-3415	152	168	training	training	NOUN
easat-3415	152	169	(	(	PUNCT
easat-3415	152	170	80	80	NUM
easat-3415	152	171	%	%	NOUN
easat-3415	152	172	)	)	PUNCT
easat-3415	152	173	and	and	CCONJ
easat-3415	152	174	testing	testing	NOUN
easat-3415	152	175	(	(	PUNCT
easat-3415	152	176	20	20	NUM
easat-3415	152	177	%	%	NOUN
easat-3415	152	178	)	)	PUNCT
easat-3415	152	179	sets	set	VERB
easat-3415	152	180	store	store	NOUN
easat-3415	152	181	training	training	NOUN
easat-3415	152	182	and	and	CCONJ
easat-3415	152	183	test	test	NOUN
easat-3415	152	184	data	datum	NOUN
easat-3415	152	185	in	in	ADP
easat-3415	152	186	'	'	PUNCT
easat-3415	152	187	train_test_data	train_test_data	SYM
easat-3415	152	188	'	'	PUNCT
easat-3415	152	189	endfor	endfor	NOUN
easat-3415	152	190	//	//	NUM
easat-3415	152	191	7	7	NUM
easat-3415	152	192	_	_	PRON
easat-3415	152	193	build	build	VERB
easat-3415	152	194	and	and	CCONJ
easat-3415	152	195	train	train	VERB
easat-3415	152	196	lstm	lstm	PROPN
easat-3415	152	197	model	model	NOUN
easat-3415	152	198	6633	6633	NUM
easat-3415	152	199	edelweiss	edelweiss	PROPN
easat-3415	152	200	applied	apply	VERB
easat-3415	152	201	science	science	NOUN
easat-3415	152	202	and	and	CCONJ
easat-3415	152	203	technology	technology	NOUN
easat-3415	152	204	issn	issn	PROPN
easat-3415	152	205	:	:	PUNCT
easat-3415	152	206	2576	2576	NUM
easat-3415	152	207	-	-	SYM
easat-3415	152	208	8484	8484	NUM
easat-3415	152	209	vol	vol	NOUN
easat-3415	152	210	.	.	PROPN
easat-3415	153	1	8	8	NUM
easat-3415	153	2	,	,	PUNCT
easat-3415	153	3	no	no	INTJ
easat-3415	153	4	.	.	NOUN
easat-3415	154	1	6	6	NUM
easat-3415	154	2	:	:	SYM
easat-3415	154	3	6625	6625	NUM
easat-3415	154	4	-	-	SYM
easat-3415	154	5	6643	6643	NUM
easat-3415	154	6	,	,	PUNCT
easat-3415	154	7	2024	2024	NUM
easat-3415	154	8	doi	doi	NOUN
easat-3415	154	9	:	:	PUNCT
easat-3415	154	10	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	154	11	©	©	PROPN
easat-3415	154	12	2024	2024	NUM
easat-3415	154	13	by	by	ADP
easat-3415	154	14	the	the	DET
easat-3415	154	15	author	author	NOUN
easat-3415	154	16	;	;	PUNCT
easat-3415	154	17	licensee	licensee	PROPN
easat-3415	154	18	learning	learn	VERB
easat-3415	154	19	gate	gate	PROPN
easat-3415	154	20	function	function	PROPN
easat-3415	154	21	build_lstm_model	build_lstm_model	PROPN
easat-3415	154	22	(	(	PUNCT
easat-3415	154	23	input_shape	input_shape	NOUN
easat-3415	154	24	):	):	PUNCT
easat-3415	154	25	initialize	initialize	VERB
easat-3415	154	26	sequential	sequential	ADJ
easat-3415	154	27	model	model	NOUN
easat-3415	154	28	add	add	VERB
easat-3415	154	29	lstm	lstm	ADJ
easat-3415	154	30	layer	layer	NOUN
easat-3415	154	31	with	with	ADP
easat-3415	154	32	50	50	NUM
easat-3415	154	33	units	unit	NOUN
easat-3415	154	34	,	,	PUNCT
easat-3415	154	35	return_sequences	return_sequence	NOUN
easat-3415	154	36	=	=	NOUN
easat-3415	154	37	true	true	ADJ
easat-3415	154	38	add	add	VERB
easat-3415	154	39	dropout	dropout	NOUN
easat-3415	154	40	layer	layer	NOUN
easat-3415	154	41	with	with	ADP
easat-3415	154	42	20	20	NUM
easat-3415	154	43	%	%	NOUN
easat-3415	154	44	dropout	dropout	NOUN
easat-3415	154	45	add	add	VERB
easat-3415	154	46	lstm	lstm	ADJ
easat-3415	154	47	layer	layer	NOUN
easat-3415	154	48	with	with	ADP
easat-3415	154	49	50	50	NUM
easat-3415	154	50	units	unit	NOUN
easat-3415	154	51	,	,	PUNCT
easat-3415	154	52	return_sequences	return_sequence	NOUN
easat-3415	154	53	=	=	NOUN
easat-3415	154	54	false	false	ADJ
easat-3415	154	55	add	add	VERB
easat-3415	154	56	dropout	dropout	NOUN
easat-3415	154	57	layer	layer	NOUN
easat-3415	154	58	with	with	ADP
easat-3415	154	59	20	20	NUM
easat-3415	154	60	%	%	NOUN
easat-3415	154	61	dropout	dropout	NOUN
easat-3415	154	62	add	add	VERB
easat-3415	154	63	dense	dense	ADJ
easat-3415	154	64	layer	layer	NOUN
easat-3415	154	65	with	with	ADP
easat-3415	154	66	25	25	NUM
easat-3415	154	67	units	unit	NOUN
easat-3415	154	68	add	add	VERB
easat-3415	154	69	dense	dense	ADJ
easat-3415	154	70	output	output	NOUN
easat-3415	154	71	layer	layer	NOUN
easat-3415	154	72	with	with	ADP
easat-3415	154	73	1	1	NUM
easat-3415	154	74	unit	unit	NOUN
easat-3415	154	75	compile	compile	NOUN
easat-3415	154	76	model	model	NOUN
easat-3415	154	77	with	with	ADP
easat-3415	154	78	'	'	PUNCT
easat-3415	154	79	adam	adam	NOUN
easat-3415	154	80	'	'	PUNCT
easat-3415	154	81	optimizer	optimizer	NOUN
easat-3415	154	82	and	and	CCONJ
easat-3415	154	83	'	'	PUNCT
easat-3415	154	84	mean_squared_error	mean_squared_error	NOUN
easat-3415	154	85	'	'	PUNCT
easat-3415	154	86	loss	loss	NOUN
easat-3415	154	87	return	return	NOUN
easat-3415	154	88	model	model	NOUN
easat-3415	154	89	end	end	NOUN
easat-3415	154	90	function	function	NOUN
easat-3415	154	91	initialize	initialize	VERB
easat-3415	154	92	dictionary	dictionary	ADJ
easat-3415	154	93	'	'	PUNCT
easat-3415	154	94	models	model	NOUN
easat-3415	154	95	'	'	PUNCT
easat-3415	154	96	for	for	ADP
easat-3415	154	97	each	each	DET
easat-3415	154	98	cluster	cluster	NOUN
easat-3415	154	99	in	in	ADP
easat-3415	154	100	'	'	PUNCT
easat-3415	154	101	train_test_data	train_test_data	PRON
easat-3415	154	102	'	'	PUNCT
easat-3415	154	103	:	:	PUNCT
easat-3415	154	104	get	get	VERB
easat-3415	154	105	x_train	x_train	PROPN
easat-3415	154	106	,	,	PUNCT
easat-3415	154	107	x_test	x_test	NUM
easat-3415	154	108	,	,	PUNCT
easat-3415	154	109	y_train	y_train	PRON
easat-3415	154	110	,	,	PUNCT
easat-3415	154	111	y_test	y_t	ADJ
easat-3415	154	112	for	for	ADP
easat-3415	154	113	the	the	DET
easat-3415	154	114	cluster	cluster	NOUN
easat-3415	154	115	build	build	VERB
easat-3415	154	116	lstm	lstm	NOUN
easat-3415	154	117	model	model	NOUN
easat-3415	154	118	using	use	VERB
easat-3415	154	119	input	input	NOUN
easat-3415	154	120	shape	shape	NOUN
easat-3415	154	121	from	from	ADP
easat-3415	154	122	training	training	NOUN
easat-3415	154	123	data	datum	NOUN
easat-3415	154	124	train	train	NOUN
easat-3415	154	125	lstm	lstm	NOUN
easat-3415	154	126	model	model	NOUN
easat-3415	154	127	on	on	ADP
easat-3415	154	128	training	training	NOUN
easat-3415	154	129	data	datum	NOUN
easat-3415	154	130	for	for	ADP
easat-3415	154	131	specified	specified	ADJ
easat-3415	154	132	epochs	epoch	NOUN
easat-3415	154	133	(	(	PUNCT
easat-3415	154	134	e.g.	e.g.	ADV
easat-3415	154	135	,	,	PUNCT
easat-3415	154	136	10	10	NUM
easat-3415	154	137	)	)	PUNCT
easat-3415	154	138	store	store	NOUN
easat-3415	154	139	trained	train	VERB
easat-3415	154	140	model	model	NOUN
easat-3415	154	141	in	in	ADP
easat-3415	154	142	'	'	PUNCT
easat-3415	154	143	models	model	NOUN
easat-3415	154	144	'	'	PART
easat-3415	154	145	endfor	endfor	NOUN
easat-3415	154	146	//	//	NUM
easat-3415	155	1	8	8	NUM
easat-3415	155	2	_	_	PRON
easat-3415	155	3	model	model	NOUN
easat-3415	155	4	evaluation	evaluation	NOUN
easat-3415	155	5	for	for	ADP
easat-3415	155	6	each	each	DET
easat-3415	155	7	cluster	cluster	NOUN
easat-3415	155	8	in	in	ADP
easat-3415	155	9	'	'	PUNCT
easat-3415	155	10	models	model	NOUN
easat-3415	155	11	'	'	PUNCT
easat-3415	155	12	:	:	PUNCT
easat-3415	155	13	get	get	VERB
easat-3415	155	14	x_test	x_test	ADV
easat-3415	155	15	and	and	CCONJ
easat-3415	155	16	y_test	y_t	ADJ
easat-3415	155	17	for	for	ADP
easat-3415	155	18	the	the	DET
easat-3415	155	19	cluster	cluster	NOUN
easat-3415	155	20	use	use	VERB
easat-3415	155	21	the	the	DET
easat-3415	155	22	lstm	lstm	PROPN
easat-3415	155	23	model	model	NOUN
easat-3415	155	24	to	to	PART
easat-3415	155	25	predict	predict	VERB
easat-3415	155	26	on	on	ADP
easat-3415	155	27	x_test	x_t	ADJ
easat-3415	155	28	calculate	calculate	NOUN
easat-3415	155	29	performance	performance	NOUN
easat-3415	155	30	metrics	metric	NOUN
easat-3415	155	31	:	:	PUNCT
easat-3415	155	32	mae	mae	PROPN
easat-3415	155	33	,	,	PUNCT
easat-3415	155	34	mse	mse	PROPN
easat-3415	155	35	,	,	PUNCT
easat-3415	155	36	rmse	rmse	NOUN
easat-3415	155	37	,	,	PUNCT
easat-3415	155	38	r2	r2	PROPN
easat-3415	155	39	score	score	NOUN
easat-3415	155	40	print	print	NOUN
easat-3415	155	41	performance	performance	NOUN
easat-3415	155	42	metrics	metric	NOUN
easat-3415	155	43	for	for	ADP
easat-3415	155	44	the	the	DET
easat-3415	155	45	cluster	cluster	NOUN
easat-3415	155	46	6634	6634	NUM
easat-3415	155	47	edelweiss	edelweiss	PROPN
easat-3415	155	48	applied	apply	VERB
easat-3415	155	49	science	science	NOUN
easat-3415	155	50	and	and	CCONJ
easat-3415	155	51	technology	technology	NOUN
easat-3415	155	52	issn	issn	PROPN
easat-3415	155	53	:	:	PUNCT
easat-3415	155	54	2576	2576	NUM
easat-3415	155	55	-	-	SYM
easat-3415	155	56	8484	8484	NUM
easat-3415	155	57	vol	vol	NOUN
easat-3415	155	58	.	.	PROPN
easat-3415	156	1	8	8	NUM
easat-3415	156	2	,	,	PUNCT
easat-3415	156	3	no	no	INTJ
easat-3415	156	4	.	.	NOUN
easat-3415	157	1	6	6	NUM
easat-3415	157	2	:	:	SYM
easat-3415	157	3	6625	6625	NUM
easat-3415	157	4	-	-	SYM
easat-3415	157	5	6643	6643	NUM
easat-3415	157	6	,	,	PUNCT
easat-3415	157	7	2024	2024	NUM
easat-3415	157	8	doi	doi	NOUN
easat-3415	157	9	:	:	PUNCT
easat-3415	157	10	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	157	11	©	©	PROPN
easat-3415	157	12	2024	2024	NUM
easat-3415	157	13	by	by	ADP
easat-3415	157	14	the	the	DET
easat-3415	157	15	author	author	NOUN
easat-3415	157	16	;	;	PUNCT
easat-3415	157	17	licensee	licensee	PROPN
easat-3415	157	18	learning	learn	VERB
easat-3415	157	19	gate	gate	PROPN
easat-3415	157	20	plot	plot	NOUN
easat-3415	157	21	actual	actual	ADJ
easat-3415	157	22	vs	vs	ADP
easat-3415	157	23	predicted	predict	VERB
easat-3415	157	24	signal	signal	NOUN
easat-3415	157	25	strength	strength	NOUN
easat-3415	157	26	for	for	ADP
easat-3415	157	27	the	the	DET
easat-3415	157	28	cluster	cluster	NOUN
easat-3415	157	29	endfor	endfor	NOUN
easat-3415	157	30	3.2	3.2	NUM
easat-3415	157	31	.	.	PUNCT
easat-3415	158	1	performance	performance	NOUN
easat-3415	158	2	metrics	metric	NOUN
easat-3415	158	3	regression	regression	VERB
easat-3415	158	4	analysis	analysis	NOUN
easat-3415	158	5	and	and	CCONJ
easat-3415	158	6	classification	classification	NOUN
easat-3415	158	7	analysis	analysis	NOUN
easat-3415	158	8	are	be	AUX
easat-3415	158	9	two	two	NUM
easat-3415	158	10	different	different	ADJ
easat-3415	158	11	techniques	technique	NOUN
easat-3415	158	12	that	that	PRON
easat-3415	158	13	can	can	AUX
easat-3415	158	14	be	be	AUX
easat-3415	158	15	used	use	VERB
easat-3415	158	16	to	to	PART
easat-3415	158	17	predict	predict	VERB
easat-3415	158	18	the	the	DET
easat-3415	158	19	signal	signal	ADJ
easat-3415	158	20	strength	strength	NOUN
easat-3415	158	21	in	in	ADP
easat-3415	158	22	mobile	mobile	ADJ
easat-3415	158	23	networks	network	NOUN
easat-3415	158	24	.	.	PUNCT
easat-3415	159	1	in	in	ADP
easat-3415	159	2	this	this	DET
easat-3415	159	3	study	study	NOUN
easat-3415	159	4	,	,	PUNCT
easat-3415	159	5	the	the	DET
easat-3415	159	6	focus	focus	NOUN
easat-3415	159	7	was	be	AUX
easat-3415	159	8	on	on	ADP
easat-3415	159	9	predicting	predict	VERB
easat-3415	159	10	the	the	DET
easat-3415	159	11	exact	exact	ADJ
easat-3415	159	12	numerical	numerical	ADJ
easat-3415	159	13	value	value	NOUN
easat-3415	159	14	of	of	ADP
easat-3415	159	15	the	the	DET
easat-3415	159	16	signal	signal	ADJ
easat-3415	159	17	strength	strength	NOUN
easat-3415	159	18	at	at	ADP
easat-3415	159	19	a	a	DET
easat-3415	159	20	specific	specific	ADJ
easat-3415	159	21	location	location	NOUN
easat-3415	159	22	or	or	CCONJ
easat-3415	159	23	time	time	NOUN
easat-3415	159	24	,	,	PUNCT
easat-3415	159	25	rather	rather	ADV
easat-3415	159	26	than	than	ADP
easat-3415	159	27	categorizing	categorize	VERB
easat-3415	159	28	it	it	PRON
easat-3415	159	29	into	into	ADP
easat-3415	159	30	discrete	discrete	ADJ
easat-3415	159	31	classes	class	NOUN
easat-3415	159	32	.	.	PUNCT
easat-3415	160	1	consequently	consequently	ADV
easat-3415	160	2	,	,	PUNCT
easat-3415	160	3	the	the	DET
easat-3415	160	4	problem	problem	NOUN
easat-3415	160	5	was	be	AUX
easat-3415	160	6	framed	frame	VERB
easat-3415	160	7	as	as	ADP
easat-3415	160	8	a	a	DET
easat-3415	160	9	regression	regression	NOUN
easat-3415	160	10	task	task	NOUN
easat-3415	160	11	,	,	PUNCT
easat-3415	160	12	and	and	CCONJ
easat-3415	160	13	the	the	DET
easat-3415	160	14	performance	performance	NOUN
easat-3415	160	15	of	of	ADP
easat-3415	160	16	the	the	DET
easat-3415	160	17	models	model	NOUN
easat-3415	160	18	was	be	AUX
easat-3415	160	19	evaluated	evaluate	VERB
easat-3415	160	20	using	use	VERB
easat-3415	160	21	metrics	metric	NOUN
easat-3415	160	22	such	such	ADJ
easat-3415	160	23	as	as	ADP
easat-3415	160	24	the	the	DET
easat-3415	160	25	mean	mean	ADJ
easat-3415	160	26	absolute	absolute	ADJ
easat-3415	160	27	error	error	NOUN
easat-3415	160	28	(	(	PUNCT
easat-3415	160	29	mae	mae	PROPN
easat-3415	160	30	)	)	PUNCT
easat-3415	160	31	,	,	PUNCT
easat-3415	160	32	mean	mean	VERB
easat-3415	160	33	squared	square	VERB
easat-3415	160	34	error	error	NOUN
easat-3415	160	35	(	(	PUNCT
easat-3415	160	36	mse	mse	NOUN
easat-3415	160	37	)	)	PUNCT
easat-3415	160	38	,	,	PUNCT
easat-3415	160	39	root	root	NOUN
easat-3415	160	40	mean	mean	VERB
easat-3415	160	41	squared	square	VERB
easat-3415	160	42	error	error	NOUN
easat-3415	160	43	(	(	PUNCT
easat-3415	160	44	rmse	rmse	NOUN
easat-3415	160	45	)	)	PUNCT
easat-3415	160	46	,	,	PUNCT
easat-3415	160	47	and	and	CCONJ
easat-3415	160	48	r	r	X
easat-3415	160	49	-	-	PUNCT
easat-3415	160	50	squared	square	VERB
easat-3415	160	51	(	(	PUNCT
easat-3415	160	52	r²	r²	NOUN
easat-3415	160	53	)	)	PUNCT
easat-3415	160	54	.	.	PUNCT
easat-3415	161	1	mae	mae	PROPN
easat-3415	161	2	computes	compute	VERB
easat-3415	161	3	the	the	DET
easat-3415	161	4	average	average	NOUN
easat-3415	161	5	of	of	ADP
easat-3415	161	6	the	the	DET
easat-3415	161	7	absolute	absolute	ADJ
easat-3415	161	8	differences	difference	NOUN
easat-3415	161	9	between	between	ADP
easat-3415	161	10	anticipated	anticipated	ADJ
easat-3415	161	11	and	and	CCONJ
easat-3415	161	12	actual	actual	ADJ
easat-3415	161	13	values	value	NOUN
easat-3415	161	14	.	.	PUNCT
easat-3415	162	1	in	in	ADP
easat-3415	162	2	this	this	DET
easat-3415	162	3	context	context	NOUN
easat-3415	162	4	,	,	PUNCT
easat-3415	162	5	y^	y^	PROPN
easat-3415	162	6	represents	represent	VERB
easat-3415	162	7	the	the	DET
easat-3415	162	8	model	model	NOUN
easat-3415	162	9	’s	’s	PART
easat-3415	162	10	forecasts	forecast	NOUN
easat-3415	162	11	,	,	PUNCT
easat-3415	162	12	y	y	PROPN
easat-3415	162	13	represents	represent	VERB
easat-3415	162	14	the	the	DET
easat-3415	162	15	actual	actual	ADJ
easat-3415	162	16	values	value	NOUN
easat-3415	162	17	of	of	ADP
easat-3415	162	18	the	the	DET
easat-3415	162	19	data	data	NOUN
easat-3415	162	20	points	point	NOUN
easat-3415	162	21	,	,	PUNCT
easat-3415	162	22	and	and	CCONJ
easat-3415	162	23	n	n	PRON
easat-3415	162	24	is	be	AUX
easat-3415	162	25	the	the	DET
easat-3415	162	26	total	total	ADJ
easat-3415	162	27	number	number	NOUN
easat-3415	162	28	of	of	ADP
easat-3415	162	29	samples	sample	NOUN
easat-3415	162	30	.	.	PUNCT
easat-3415	163	1	mae	mae	PROPN
easat-3415	163	2	offers	offer	VERB
easat-3415	163	3	an	an	DET
easat-3415	163	4	intuitive	intuitive	ADJ
easat-3415	163	5	measure	measure	NOUN
easat-3415	163	6	of	of	ADP
easat-3415	163	7	the	the	DET
easat-3415	163	8	error	error	NOUN
easat-3415	163	9	in	in	ADP
easat-3415	163	10	the	the	DET
easat-3415	163	11	same	same	ADJ
easat-3415	163	12	units	unit	NOUN
easat-3415	163	13	as	as	ADP
easat-3415	163	14	the	the	DET
easat-3415	163	15	target	target	NOUN
easat-3415	163	16	variable	variable	NOUN
easat-3415	163	17	,	,	PUNCT
easat-3415	163	18	with	with	ADP
easat-3415	163	19	lower	low	ADJ
easat-3415	163	20	mae	mae	PROPN
easat-3415	163	21	values	value	NOUN
easat-3415	163	22	indicating	indicate	VERB
easat-3415	163	23	better	well	ADJ
easat-3415	163	24	model	model	NOUN
easat-3415	163	25	accuracy	accuracy	NOUN
easat-3415	163	26	.	.	PUNCT
easat-3415	164	1	𝑀𝐴𝐸	𝑀𝐴𝐸	NOUN
easat-3415	164	2	=	=	SYM
easat-3415	164	3	1	1	NUM
easat-3415	164	4	𝑛	𝑛	NOUN
easat-3415	164	5	∑	∑	ADV
easat-3415	164	6	|	|	ADV
easat-3415	164	7	𝑛	𝑛	PRON
easat-3415	164	8	𝑖=1	𝑖=1	PROPN
easat-3415	164	9	(	(	PUNCT
easat-3415	164	10	𝑦𝑖	𝑦𝑖	PROPN
easat-3415	164	11	−	−	PROPN
easat-3415	164	12	�	�	PROPN
easat-3415	164	13	̂	̂	NOUN
easat-3415	164	14	�	�	NOUN
easat-3415	164	15	𝑖)|	𝑖)|	NOUN
easat-3415	164	16	(	(	PUNCT
easat-3415	164	17	18	18	NUM
easat-3415	164	18	)	)	PUNCT
easat-3415	164	19	conversely	conversely	ADV
easat-3415	164	20	,	,	PUNCT
easat-3415	164	21	mse	mse	PROPN
easat-3415	164	22	calculates	calculate	VERB
easat-3415	164	23	the	the	DET
easat-3415	164	24	average	average	NOUN
easat-3415	164	25	of	of	ADP
easat-3415	164	26	the	the	DET
easat-3415	164	27	squared	square	VERB
easat-3415	164	28	differences	difference	NOUN
easat-3415	164	29	between	between	ADP
easat-3415	164	30	the	the	DET
easat-3415	164	31	predicted	predict	VERB
easat-3415	164	32	and	and	CCONJ
easat-3415	164	33	actual	actual	ADJ
easat-3415	164	34	values	value	NOUN
easat-3415	164	35	.	.	PUNCT
easat-3415	165	1	similar	similar	ADJ
easat-3415	165	2	to	to	ADP
easat-3415	165	3	the	the	DET
easat-3415	165	4	mae	mae	PROPN
easat-3415	165	5	,	,	PUNCT
easat-3415	165	6	lower	low	ADJ
easat-3415	165	7	mse	mse	NOUN
easat-3415	165	8	values	value	NOUN
easat-3415	165	9	indicate	indicate	VERB
easat-3415	165	10	better	well	ADJ
easat-3415	165	11	model	model	NOUN
easat-3415	165	12	performance	performance	NOUN
easat-3415	165	13	.	.	PUNCT
easat-3415	166	1	𝑀𝑆𝐸	𝑀𝑆𝐸	NOUN
easat-3415	166	2	=	=	SYM
easat-3415	166	3	1	1	NUM
easat-3415	166	4	𝑛	𝑛	NOUN
easat-3415	166	5	∑	∑	PUNCT
easat-3415	166	6	(	(	PUNCT
easat-3415	166	7	𝑦𝑖	𝑦𝑖	PROPN
easat-3415	166	8	−	−	PROPN
easat-3415	166	9	�	�	PROPN
easat-3415	166	10	̂	̂	SYM
easat-3415	166	11	�	�	NOUN
easat-3415	166	12	𝑖)2	𝑖)2	ADJ
easat-3415	166	13	𝑛	𝑛	PRON
easat-3415	166	14	𝑖=1	𝑖=1	PROPN
easat-3415	166	15	(	(	PUNCT
easat-3415	166	16	19	19	NUM
easat-3415	166	17	)	)	PUNCT
easat-3415	166	18	the	the	DET
easat-3415	166	19	rmse	rmse	NOUN
easat-3415	166	20	is	be	AUX
easat-3415	166	21	the	the	DET
easat-3415	166	22	square	square	ADJ
easat-3415	166	23	root	root	NOUN
easat-3415	166	24	of	of	ADP
easat-3415	166	25	the	the	DET
easat-3415	166	26	mse	mse	NOUN
easat-3415	166	27	,	,	PUNCT
easat-3415	166	28	which	which	PRON
easat-3415	166	29	aligns	align	VERB
easat-3415	166	30	the	the	DET
easat-3415	166	31	error	error	NOUN
easat-3415	166	32	metric	metric	NOUN
easat-3415	166	33	with	with	ADP
easat-3415	166	34	the	the	DET
easat-3415	166	35	unit	unit	NOUN
easat-3415	166	36	of	of	ADP
easat-3415	166	37	the	the	DET
easat-3415	166	38	target	target	NOUN
easat-3415	166	39	variable	variable	NOUN
easat-3415	166	40	.	.	PUNCT
easat-3415	167	1	lower	low	ADJ
easat-3415	167	2	rmse	rmse	PROPN
easat-3415	167	3	values	value	NOUN
easat-3415	167	4	suggest	suggest	VERB
easat-3415	167	5	that	that	SCONJ
easat-3415	167	6	the	the	DET
easat-3415	167	7	model	model	NOUN
easat-3415	167	8	fits	fit	VERB
easat-3415	167	9	the	the	DET
easat-3415	167	10	data	datum	NOUN
easat-3415	167	11	more	more	ADV
easat-3415	167	12	accurately	accurately	ADV
easat-3415	167	13	.	.	PUNCT
easat-3415	168	1	𝑅𝑀𝑆𝐸	𝑅𝑀𝑆𝐸	NOUN
easat-3415	168	2	=	=	PUNCT
easat-3415	169	1	√	√	ADP
easat-3415	169	2	1	1	NUM
easat-3415	169	3	𝑛	𝑛	PROPN
easat-3415	169	4	∑	∑	PROPN
easat-3415	169	5	(	(	PUNCT
easat-3415	169	6	𝑦𝑖	𝑦𝑖	PROPN
easat-3415	169	7	−	−	PROPN
easat-3415	169	8	�	�	PROPN
easat-3415	169	9	̂	̂	SYM
easat-3415	169	10	�	�	NOUN
easat-3415	169	11	𝑖)2	𝑖)2	ADJ
easat-3415	169	12	𝑛	𝑛	PRON
easat-3415	169	13	𝑖=1	𝑖=1	PROPN
easat-3415	169	14	(	(	PUNCT
easat-3415	169	15	20	20	NUM
easat-3415	169	16	)	)	PUNCT
easat-3415	169	17	finally	finally	ADV
easat-3415	169	18	,	,	PUNCT
easat-3415	169	19	r	r	NOUN
easat-3415	169	20	-	-	PUNCT
easat-3415	169	21	squared	square	VERB
easat-3415	169	22	(	(	PUNCT
easat-3415	169	23	r²	r²	NOUN
easat-3415	169	24	)	)	PUNCT
easat-3415	169	25	quantifies	quantifie	NOUN
easat-3415	169	26	the	the	DET
easat-3415	169	27	proportion	proportion	NOUN
easat-3415	169	28	of	of	ADP
easat-3415	169	29	variance	variance	NOUN
easat-3415	169	30	in	in	ADP
easat-3415	169	31	the	the	DET
easat-3415	169	32	dependent	dependent	ADJ
easat-3415	169	33	variable	variable	NOUN
easat-3415	169	34	that	that	PRON
easat-3415	169	35	can	can	AUX
easat-3415	169	36	be	be	AUX
easat-3415	169	37	predicted	predict	VERB
easat-3415	169	38	based	base	VERB
easat-3415	169	39	on	on	ADP
easat-3415	169	40	the	the	DET
easat-3415	169	41	independent	independent	ADJ
easat-3415	169	42	variables	variable	NOUN
easat-3415	169	43	.	.	PUNCT
easat-3415	170	1	the	the	DET
easat-3415	170	2	values	value	NOUN
easat-3415	170	3	span	span	VERB
easat-3415	170	4	from	from	ADP
easat-3415	170	5	0	0	NUM
easat-3415	170	6	to	to	ADP
easat-3415	170	7	1	1	NUM
easat-3415	170	8	,	,	PUNCT
easat-3415	170	9	with	with	ADP
easat-3415	170	10	higher	high	ADJ
easat-3415	170	11	values	value	NOUN
easat-3415	170	12	which	which	PRON
easat-3415	170	13	implies	imply	VERB
easat-3415	170	14	that	that	SCONJ
easat-3415	170	15	the	the	DET
easat-3415	170	16	model	model	NOUN
easat-3415	170	17	accounts	account	VERB
easat-3415	170	18	for	for	ADP
easat-3415	170	19	a	a	DET
easat-3415	170	20	larger	large	ADJ
easat-3415	170	21	share	share	NOUN
easat-3415	170	22	of	of	ADP
easat-3415	170	23	the	the	DET
easat-3415	170	24	variance	variance	NOUN
easat-3415	170	25	in	in	ADP
easat-3415	170	26	the	the	DET
easat-3415	170	27	target	target	NOUN
easat-3415	170	28	variable	variable	NOUN
easat-3415	170	29	.	.	PUNCT
easat-3415	171	1	an	an	DET
easat-3415	171	2	r²	r²	NOUN
easat-3415	171	3	value	value	NOUN
easat-3415	171	4	of	of	ADP
easat-3415	171	5	1	1	NUM
easat-3415	171	6	represents	represent	VERB
easat-3415	171	7	a	a	DET
easat-3415	171	8	perfect	perfect	ADJ
easat-3415	171	9	fit	fit	NOUN
easat-3415	171	10	,	,	PUNCT
easat-3415	171	11	whereas	whereas	SCONJ
easat-3415	171	12	an	an	DET
easat-3415	171	13	r²	r²	NOUN
easat-3415	171	14	value	value	NOUN
easat-3415	171	15	of	of	ADP
easat-3415	171	16	0	0	NUM
easat-3415	171	17	indicates	indicate	VERB
easat-3415	171	18	that	that	SCONJ
easat-3415	171	19	the	the	DET
easat-3415	171	20	model	model	NOUN
easat-3415	171	21	explains	explain	VERB
easat-3415	171	22	none	none	NOUN
easat-3415	171	23	of	of	ADP
easat-3415	171	24	the	the	DET
easat-3415	171	25	variances	variance	NOUN
easat-3415	171	26	.	.	PUNCT
easat-3415	172	1	if	if	SCONJ
easat-3415	172	2	r²	r²	NOUN
easat-3415	172	3	is	be	AUX
easat-3415	172	4	negative	negative	ADJ
easat-3415	172	5	,	,	PUNCT
easat-3415	172	6	it	it	PRON
easat-3415	172	7	indicates	indicate	VERB
easat-3415	172	8	that	that	SCONJ
easat-3415	172	9	the	the	DET
easat-3415	172	10	model	model	NOUN
easat-3415	172	11	performs	perform	VERB
easat-3415	172	12	worse	bad	ADJ
easat-3415	172	13	than	than	ADP
easat-3415	172	14	the	the	DET
easat-3415	172	15	horizontal	horizontal	ADJ
easat-3415	172	16	line	line	NOUN
easat-3415	172	17	representing	represent	VERB
easat-3415	172	18	the	the	DET
easat-3415	172	19	mean	mean	NOUN
easat-3415	172	20	of	of	ADP
easat-3415	172	21	the	the	DET
easat-3415	172	22	data	datum	NOUN
easat-3415	172	23	.	.	PUNCT
easat-3415	173	1	4	4	X
easat-3415	173	2	.	.	NOUN
easat-3415	173	3	results	result	NOUN
easat-3415	173	4	and	and	CCONJ
easat-3415	173	5	analysis	analysis	NOUN
easat-3415	173	6	an	an	DET
easat-3415	173	7	acer	acer	NOUN
easat-3415	173	8	travelmate	travelmate	NOUN
easat-3415	173	9	laptop	laptop	NOUN
easat-3415	173	10	equipped	equip	VERB
easat-3415	173	11	with	with	ADP
easat-3415	173	12	an	an	DET
easat-3415	173	13	intel	intel	PROPN
easat-3415	173	14	®	®	NOUN
easat-3415	173	15	core	core	NOUN
easat-3415	173	16	™	™	VERB
easat-3415	173	17	i7	i7	ADJ
easat-3415	173	18	8th	8th	ADJ
easat-3415	173	19	gen	gen	NOUN
easat-3415	173	20	processor	processor	NOUN
easat-3415	173	21	and	and	CCONJ
easat-3415	173	22	16	16	NUM
easat-3415	173	23	gb	gb	NOUN
easat-3415	173	24	ram	ram	NOUN
easat-3415	173	25	was	be	AUX
easat-3415	173	26	used	use	VERB
easat-3415	173	27	to	to	PART
easat-3415	173	28	preprocess	preprocess	VERB
easat-3415	173	29	the	the	DET
easat-3415	173	30	data	datum	NOUN
easat-3415	173	31	and	and	CCONJ
easat-3415	173	32	train	train	VERB
easat-3415	173	33	the	the	DET
easat-3415	173	34	models	model	NOUN
easat-3415	173	35	.	.	PUNCT
easat-3415	174	1	additionally	additionally	ADV
easat-3415	174	2	,	,	PUNCT
easat-3415	174	3	jupyter	jupyter	ADJ
easat-3415	174	4	notebook	notebook	NOUN
easat-3415	174	5	via	via	ADP
easat-3415	174	6	anaconda	anaconda	PROPN
easat-3415	174	7	,	,	PUNCT
easat-3415	174	8	running	run	VERB
easat-3415	174	9	on	on	ADP
easat-3415	174	10	windows	window	NOUN
easat-3415	174	11	10	10	NUM
easat-3415	174	12	,	,	PUNCT
easat-3415	174	13	was	be	AUX
easat-3415	174	14	employed	employ	VERB
easat-3415	174	15	to	to	PART
easat-3415	174	16	implement	implement	VERB
easat-3415	174	17	the	the	DET
easat-3415	174	18	machine	machine	NOUN
easat-3415	174	19	learning	learn	VERB
easat-3415	174	20	framework	framework	NOUN
easat-3415	174	21	using	use	VERB
easat-3415	174	22	python	python	NOUN
easat-3415	174	23	libraries	library	NOUN
easat-3415	174	24	such	such	ADJ
easat-3415	174	25	as	as	ADP
easat-3415	174	26	numpy	numpy	NOUN
easat-3415	174	27	[	[	X
easat-3415	174	28	29	29	NUM
easat-3415	174	29	]	]	PUNCT
easat-3415	174	30	,	,	PUNCT
easat-3415	174	31	pandas	panda	VERB
easat-3415	174	32	[	[	X
easat-3415	174	33	30	30	NUM
easat-3415	174	34	]	]	PUNCT
easat-3415	174	35	,	,	PUNCT
easat-3415	174	36	matplotlib	matplotlib	PROPN
easat-3415	175	1	[	[	X
easat-3415	175	2	31	31	NUM
easat-3415	175	3	]	]	PUNCT
easat-3415	175	4	,	,	PUNCT
easat-3415	175	5	seaborn	seaborn	PROPN
easat-3415	176	1	[	[	X
easat-3415	176	2	32	32	NUM
easat-3415	176	3	]	]	PUNCT
easat-3415	176	4	,	,	PUNCT
easat-3415	176	5	and	and	CCONJ
easat-3415	176	6	scikit	scikit	NOUN
easat-3415	176	7	-	-	PUNCT
easat-3415	176	8	learn	learn	VERB
easat-3415	176	9	[	[	X
easat-3415	176	10	33	33	NUM
easat-3415	176	11	]	]	PUNCT
easat-3415	176	12	,	,	PUNCT
easat-3415	177	1	[	[	X
easat-3415	177	2	34	34	NUM
easat-3415	177	3	]	]	PUNCT
easat-3415	177	4	.	.	PUNCT
easat-3415	178	1	the	the	DET
easat-3415	178	2	performance	performance	NOUN
easat-3415	178	3	of	of	ADP
easat-3415	178	4	the	the	DET
easat-3415	178	5	different	different	ADJ
easat-3415	178	6	models	model	NOUN
easat-3415	178	7	was	be	AUX
easat-3415	178	8	compared	compare	VERB
easat-3415	178	9	using	use	VERB
easat-3415	178	10	the	the	DET
easat-3415	178	11	evaluation	evaluation	NOUN
easat-3415	178	12	metrics	metric	NOUN
easat-3415	178	13	mentioned	mention	VERB
easat-3415	178	14	earlier	early	ADV
easat-3415	178	15	.	.	PUNCT
easat-3415	179	1	it	it	PRON
easat-3415	179	2	is	be	AUX
easat-3415	179	3	also	also	ADV
easat-3415	179	4	important	important	ADJ
easat-3415	179	5	to	to	PART
easat-3415	179	6	ensure	ensure	VERB
easat-3415	179	7	that	that	SCONJ
easat-3415	179	8	the	the	DET
easat-3415	179	9	test	test	NOUN
easat-3415	179	10	data	datum	NOUN
easat-3415	179	11	are	be	AUX
easat-3415	179	12	representative	representative	ADJ
easat-3415	179	13	of	of	ADP
easat-3415	179	14	the	the	DET
easat-3415	179	15	training	training	NOUN
easat-3415	179	16	data	datum	NOUN
easat-3415	179	17	,	,	PUNCT
easat-3415	179	18	which	which	PRON
easat-3415	179	19	can	can	AUX
easat-3415	179	20	be	be	AUX
easat-3415	179	21	visualized	visualize	VERB
easat-3415	179	22	by	by	ADP
easat-3415	179	23	mapping	map	VERB
easat-3415	179	24	the	the	DET
easat-3415	179	25	distributions	distribution	NOUN
easat-3415	179	26	of	of	ADP
easat-3415	179	27	the	the	DET
easat-3415	179	28	key	key	ADJ
easat-3415	179	29	features	feature	NOUN
easat-3415	179	30	and	and	CCONJ
easat-3415	179	31	comparing	compare	VERB
easat-3415	179	32	them	they	PRON
easat-3415	179	33	between	between	ADP
easat-3415	179	34	the	the	DET
easat-3415	179	35	training	training	NOUN
easat-3415	179	36	and	and	CCONJ
easat-3415	179	37	test	test	NOUN
easat-3415	179	38	sets	set	NOUN
easat-3415	179	39	.	.	PUNCT
easat-3415	180	1	for	for	ADP
easat-3415	180	2	all	all	DET
easat-3415	180	3	models	model	NOUN
easat-3415	180	4	,	,	PUNCT
easat-3415	180	5	80	80	NUM
easat-3415	180	6	%	%	NOUN
easat-3415	180	7	of	of	ADP
easat-3415	180	8	the	the	DET
easat-3415	180	9	data	datum	NOUN
easat-3415	180	10	were	be	AUX
easat-3415	180	11	used	use	VERB
easat-3415	180	12	for	for	ADP
easat-3415	180	13	training	training	NOUN
easat-3415	180	14	,	,	PUNCT
easat-3415	180	15	whereas	whereas	SCONJ
easat-3415	180	16	the	the	DET
easat-3415	180	17	remaining	remain	VERB
easat-3415	180	18	20	20	NUM
easat-3415	180	19	%	%	NOUN
easat-3415	180	20	were	be	AUX
easat-3415	180	21	reserved	reserve	VERB
easat-3415	180	22	for	for	ADP
easat-3415	180	23	testing	testing	NOUN
easat-3415	180	24	.	.	PUNCT
easat-3415	181	1	6635	6635	NUM
easat-3415	181	2	edelweiss	edelweiss	PROPN
easat-3415	181	3	applied	apply	VERB
easat-3415	181	4	science	science	NOUN
easat-3415	181	5	and	and	CCONJ
easat-3415	181	6	technology	technology	NOUN
easat-3415	181	7	issn	issn	PROPN
easat-3415	181	8	:	:	PUNCT
easat-3415	181	9	2576	2576	NUM
easat-3415	181	10	-	-	SYM
easat-3415	181	11	8484	8484	NUM
easat-3415	181	12	vol	vol	NOUN
easat-3415	181	13	.	.	PROPN
easat-3415	181	14	8	8	NUM
easat-3415	181	15	,	,	PUNCT
easat-3415	181	16	no	no	INTJ
easat-3415	181	17	.	.	NOUN
easat-3415	182	1	6	6	NUM
easat-3415	182	2	:	:	SYM
easat-3415	182	3	6625	6625	NUM
easat-3415	182	4	-	-	SYM
easat-3415	182	5	6643	6643	NUM
easat-3415	182	6	,	,	PUNCT
easat-3415	182	7	2024	2024	NUM
easat-3415	182	8	doi	doi	NOUN
easat-3415	182	9	:	:	PUNCT
easat-3415	182	10	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	182	11	©	©	PROPN
easat-3415	182	12	2024	2024	NUM
easat-3415	182	13	by	by	ADP
easat-3415	182	14	the	the	DET
easat-3415	182	15	author	author	NOUN
easat-3415	182	16	;	;	PUNCT
easat-3415	182	17	licensee	licensee	PROPN
easat-3415	182	18	learning	learning	NOUN
easat-3415	182	19	gate	gate	NOUN
easat-3415	182	20	3	3	NUM
easat-3415	182	21	g	g	PROPN
easat-3415	182	22	4	4	NUM
easat-3415	182	23	g	g	NOUN
easat-3415	182	24	5	5	NUM
easat-3415	182	25	g	g	NOUN
easat-3415	182	26	lte	lte	PROPN
easat-3415	182	27	figure	figure	NOUN
easat-3415	182	28	1	1	NUM
easat-3415	182	29	.	.	NOUN
easat-3415	182	30	signal	signal	NOUN
easat-3415	182	31	strength	strength	NOUN
easat-3415	182	32	distribution	distribution	NOUN
easat-3415	182	33	.	.	PUNCT
easat-3415	183	1	when	when	SCONJ
easat-3415	183	2	looking	look	VERB
easat-3415	183	3	at	at	ADP
easat-3415	183	4	the	the	DET
easat-3415	183	5	distributions	distribution	NOUN
easat-3415	183	6	in	in	ADP
easat-3415	183	7	fig	fig	NOUN
easat-3415	183	8	.	.	PUNCT
easat-3415	184	1	1	1	NUM
easat-3415	184	2	,	,	PUNCT
easat-3415	184	3	the	the	DET
easat-3415	184	4	test	test	NOUN
easat-3415	184	5	set	set	NOUN
easat-3415	184	6	appears	appear	VERB
easat-3415	184	7	to	to	PART
easat-3415	184	8	be	be	AUX
easat-3415	184	9	a	a	DET
easat-3415	184	10	subset	subset	NOUN
easat-3415	184	11	of	of	ADP
easat-3415	184	12	the	the	DET
easat-3415	184	13	training	training	NOUN
easat-3415	184	14	set	set	NOUN
easat-3415	184	15	,	,	PUNCT
easat-3415	184	16	precisely	precisely	ADV
easat-3415	184	17	what	what	PRON
easat-3415	184	18	is	be	AUX
easat-3415	184	19	needed	need	VERB
easat-3415	184	20	for	for	SCONJ
easat-3415	184	21	ml	ml	NOUN
easat-3415	184	22	to	to	PART
easat-3415	184	23	work	work	VERB
easat-3415	184	24	.	.	PUNCT
easat-3415	185	1	4.1	4.1	NUM
easat-3415	185	2	.	.	PUNCT
easat-3415	185	3	classical	classical	ADJ
easat-3415	185	4	machine	machine	NOUN
easat-3415	185	5	learning	learning	NOUN
easat-3415	185	6	results	result	NOUN
easat-3415	185	7	and	and	CCONJ
easat-3415	185	8	analysis	analysis	NOUN
easat-3415	185	9	in	in	ADP
easat-3415	185	10	classical	classical	ADJ
easat-3415	185	11	machine	machine	NOUN
easat-3415	185	12	learning	learning	NOUN
easat-3415	185	13	,	,	PUNCT
easat-3415	185	14	the	the	DET
easat-3415	185	15	performances	performance	NOUN
easat-3415	185	16	of	of	ADP
easat-3415	185	17	various	various	ADJ
easat-3415	185	18	ml	ml	NOUN
easat-3415	185	19	models	model	NOUN
easat-3415	185	20	(	(	PUNCT
easat-3415	185	21	decision	decision	NOUN
easat-3415	185	22	tree	tree	NOUN
easat-3415	185	23	,	,	PUNCT
easat-3415	185	24	linear	linear	ADJ
easat-3415	185	25	regression	regression	NOUN
easat-3415	185	26	,	,	PUNCT
easat-3415	185	27	random	random	ADJ
easat-3415	185	28	forest	forest	NOUN
easat-3415	185	29	,	,	PUNCT
easat-3415	185	30	and	and	CCONJ
easat-3415	185	31	support	support	VERB
easat-3415	185	32	vector	vector	NOUN
easat-3415	185	33	machine	machine	NOUN
easat-3415	185	34	)	)	PUNCT
easat-3415	185	35	across	across	ADP
easat-3415	185	36	various	various	ADJ
easat-3415	185	37	network	network	NOUN
easat-3415	185	38	technologies	technology	NOUN
easat-3415	185	39	(	(	PUNCT
easat-3415	185	40	3	3	NUM
easat-3415	185	41	g	g	NOUN
easat-3415	185	42	,	,	PUNCT
easat-3415	185	43	4	4	NUM
easat-3415	185	44	g	g	NOUN
easat-3415	185	45	,	,	PUNCT
easat-3415	185	46	5	5	NUM
easat-3415	185	47	g	g	NOUN
easat-3415	185	48	,	,	PUNCT
easat-3415	185	49	and	and	CCONJ
easat-3415	185	50	lte	lte	PROPN
easat-3415	185	51	)	)	PUNCT
easat-3415	185	52	can	can	AUX
easat-3415	185	53	be	be	AUX
easat-3415	185	54	interpreted	interpret	VERB
easat-3415	185	55	based	base	VERB
easat-3415	185	56	on	on	ADP
easat-3415	185	57	the	the	DET
easat-3415	185	58	subsequent	subsequent	ADJ
easat-3415	185	59	metrics	metric	NOUN
easat-3415	185	60	:	:	PUNCT
easat-3415	185	61	mean	mean	VERB
easat-3415	185	62	absolute	absolute	ADJ
easat-3415	185	63	error	error	NOUN
easat-3415	185	64	(	(	PUNCT
easat-3415	185	65	mae	mae	PROPN
easat-3415	185	66	)	)	PUNCT
easat-3415	185	67	,	,	PUNCT
easat-3415	185	68	mean	mean	VERB
easat-3415	185	69	squared	square	VERB
easat-3415	185	70	error	error	NOUN
easat-3415	185	71	(	(	PUNCT
easat-3415	185	72	mse	mse	NOUN
easat-3415	185	73	)	)	PUNCT
easat-3415	185	74	,	,	PUNCT
easat-3415	185	75	root	root	NOUN
easat-3415	185	76	mean	mean	VERB
easat-3415	185	77	squared	square	VERB
easat-3415	185	78	error	error	NOUN
easat-3415	185	79	(	(	PUNCT
easat-3415	185	80	rmse	rmse	NOUN
easat-3415	185	81	)	)	PUNCT
easat-3415	185	82	,	,	PUNCT
easat-3415	185	83	and	and	CCONJ
easat-3415	185	84	r	r	X
easat-3415	185	85	-	-	PUNCT
easat-3415	185	86	squared	square	VERB
easat-3415	185	87	(	(	PUNCT
easat-3415	185	88	r2	r2	PROPN
easat-3415	185	89	)	)	PUNCT
easat-3415	185	90	.	.	PUNCT
easat-3415	186	1	table	table	NOUN
easat-3415	187	1	1	1	NUM
easat-3415	187	2	.	.	X
easat-3415	187	3	3	3	NUM
easat-3415	187	4	g.	g.	PROPN
easat-3415	187	5	model	model	NOUN
easat-3415	187	6	mae	mae	PROPN
easat-3415	187	7	mse	mse	PROPN
easat-3415	187	8	rmse	rmse	PROPN
easat-3415	187	9	r2	r2	PROPN
easat-3415	187	10	decision	decision	NOUN
easat-3415	187	11	tree	tree	NOUN
easat-3415	187	12	3.43944	3.43944	NUM
easat-3415	187	13	18.44601	18.44601	NUM
easat-3415	187	14	4.29488	4.29488	NUM
easat-3415	187	15	-1.11043	-1.11043	ADJ
easat-3415	187	16	linear	linear	PROPN
easat-3415	187	17	regression	regression	NOUN
easat-3415	187	18	2.38735	2.38735	NUM
easat-3415	187	19	8.73654	8.73654	NUM
easat-3415	187	20	2.95576	2.95576	NUM
easat-3415	187	21	0.00043	0.00043	NUM
easat-3415	187	22	random	random	ADJ
easat-3415	187	23	forest	forest	NOUN
easat-3415	187	24	2.90180	2.90180	NUM
easat-3415	187	25	13.25067	13.25067	NUM
easat-3415	187	26	3.64015	3.64015	NUM
easat-3415	187	27	-0.51603	-0.51603	NOUN
easat-3415	187	28	support	support	NOUN
easat-3415	187	29	v.	v.	ADP
easat-3415	187	30	machine	machine	NOUN
easat-3415	187	31	2.38946	2.38946	NUM
easat-3415	187	32	8.77671	8.77671	NUM
easat-3415	187	33	2.96255	2.96255	NUM
easat-3415	187	34	-0.00415	-0.00415	NOUN
easat-3415	187	35	table	table	NOUN
easat-3415	187	36	2	2	NUM
easat-3415	187	37	.	.	NOUN
easat-3415	187	38	4	4	NUM
easat-3415	187	39	g.	g.	PROPN
easat-3415	187	40	model	model	NOUN
easat-3415	187	41	mae	mae	PROPN
easat-3415	187	42	mse	mse	PROPN
easat-3415	187	43	rmse	rmse	PROPN
easat-3415	187	44	r2	r2	PROPN
easat-3415	187	45	decision	decision	NOUN
easat-3415	187	46	tree	tree	NOUN
easat-3415	187	47	4.51068	4.51068	NUM
easat-3415	187	48	31.48664	31.48664	NUM
easat-3415	187	49	5.61130	5.61130	NUM
easat-3415	187	50	-0.96177	-0.96177	NOUN
easat-3415	187	51	linear	linear	PROPN
easat-3415	187	52	regression	regression	VERB
easat-3415	187	53	3.23185	3.23185	NUM
easat-3415	187	54	16.13102	16.13102	NUM
easat-3415	187	55	4.01634	4.01634	NUM
easat-3415	187	56	-0.00504	-0.00504	X
easat-3415	187	57	random	random	ADJ
easat-3415	187	58	forest	forest	NOUN
easat-3415	187	59	3.91765	3.91765	NUM
easat-3415	187	60	23.32881	23.32881	NUM
easat-3415	187	61	4.82999	4.82999	NUM
easat-3415	187	62	-0.45350	-0.45350	NOUN
easat-3415	187	63	support	support	NOUN
easat-3415	187	64	v.	v.	ADP
easat-3415	187	65	machine	machine	NOUN
easat-3415	187	66	3.22228	3.22228	NUM
easat-3415	187	67	16.09559	16.09559	NUM
easat-3415	187	68	4.01193	4.01193	NUM
easat-3415	187	69	-0.00283	-0.00283	NOUN
easat-3415	187	70	table	table	NOUN
easat-3415	187	71	3	3	NUM
easat-3415	187	72	.	.	NOUN
easat-3415	187	73	5	5	NUM
easat-3415	187	74	g.	g.	PROPN
easat-3415	187	75	model	model	NOUN
easat-3415	187	76	mae	mae	PROPN
easat-3415	187	77	mse	mse	PROPN
easat-3415	187	78	rmse	rmse	PROPN
easat-3415	187	79	r2	r2	PROPN
easat-3415	187	80	decision	decision	NOUN
easat-3415	187	81	tree	tree	NOUN
easat-3415	188	1	5.52770	5.52770	NUM
easat-3415	188	2	49.30279	49.30279	NUM
easat-3415	188	3	7.02159	7.02159	NUM
easat-3415	188	4	-0.93657	-0.93657	NOUN
easat-3415	188	5	linear	linear	ADJ
easat-3415	188	6	regression	regression	VERB
easat-3415	188	7	4.04576	4.04576	NUM
easat-3415	188	8	25.44547	25.44547	NUM
easat-3415	188	9	5.04435	5.04435	NUM
easat-3415	188	10	0.00052	0.00052	NUM
easat-3415	188	11	random	random	ADJ
easat-3415	188	12	forest	forest	NOUN
easat-3415	189	1	4.78050	4.78050	NUM
easat-3415	189	2	36.71026	36.71026	NUM
easat-3415	189	3	6.05890	6.05890	NUM
easat-3415	189	4	-0.44195	-0.44195	NOUN
easat-3415	189	5	support	support	NOUN
easat-3415	189	6	v.	v.	ADP
easat-3415	189	7	machine	machine	NOUN
easat-3415	189	8	4.04390	4.04390	NUM
easat-3415	189	9	25.43296	25.43296	NUM
easat-3415	189	10	5.04311	5.04311	NUM
easat-3415	189	11	0.00101	0.00101	NUM
easat-3415	189	12	6636	6636	NUM
easat-3415	189	13	edelweiss	edelweiss	PROPN
easat-3415	189	14	applied	apply	VERB
easat-3415	189	15	science	science	NOUN
easat-3415	189	16	and	and	CCONJ
easat-3415	189	17	technology	technology	NOUN
easat-3415	189	18	issn	issn	PROPN
easat-3415	189	19	:	:	PUNCT
easat-3415	189	20	2576	2576	NUM
easat-3415	189	21	-	-	SYM
easat-3415	189	22	8484	8484	NUM
easat-3415	189	23	vol	vol	NOUN
easat-3415	189	24	.	.	PROPN
easat-3415	190	1	8	8	NUM
easat-3415	190	2	,	,	PUNCT
easat-3415	190	3	no	no	INTJ
easat-3415	190	4	.	.	NOUN
easat-3415	191	1	6	6	NUM
easat-3415	191	2	:	:	SYM
easat-3415	191	3	6625	6625	NUM
easat-3415	191	4	-	-	SYM
easat-3415	191	5	6643	6643	NUM
easat-3415	191	6	,	,	PUNCT
easat-3415	191	7	2024	2024	NUM
easat-3415	191	8	doi	doi	NOUN
easat-3415	191	9	:	:	PUNCT
easat-3415	191	10	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	191	11	©	©	PROPN
easat-3415	191	12	2024	2024	NUM
easat-3415	191	13	by	by	ADP
easat-3415	191	14	the	the	DET
easat-3415	191	15	author	author	NOUN
easat-3415	191	16	;	;	PUNCT
easat-3415	191	17	licensee	licensee	PROPN
easat-3415	191	18	learning	learn	VERB
easat-3415	191	19	gate	gate	NOUN
easat-3415	191	20	table	table	NOUN
easat-3415	191	21	4	4	NUM
easat-3415	191	22	.	.	PUNCT
easat-3415	192	1	lte	lte	PROPN
easat-3415	192	2	.	.	PROPN
easat-3415	192	3	model	model	PROPN
easat-3415	192	4	mae	mae	PROPN
easat-3415	192	5	mse	mse	PROPN
easat-3415	192	6	rmse	rmse	PROPN
easat-3415	192	7	r2	r2	PROPN
easat-3415	192	8	decision	decision	NOUN
easat-3415	192	9	tree	tree	NOUN
easat-3415	192	10	4.49545	4.49545	NUM
easat-3415	192	11	31.79257	31.79257	NUM
easat-3415	192	12	5.63849	5.63849	NUM
easat-3415	192	13	-1.01762	-1.01762	NOUN
easat-3415	192	14	linear	linear	ADJ
easat-3415	192	15	regression	regression	NOUN
easat-3415	192	16	3.15644	3.15644	NUM
easat-3415	192	17	15.78044	15.78044	NUM
easat-3415	192	18	3.97246	3.97246	NUM
easat-3415	192	19	-0.00145	-0.00145	NOUN
easat-3415	192	20	random	random	ADJ
easat-3415	192	21	forest	forest	NOUN
easat-3415	192	22	3.80503	3.80503	NUM
easat-3415	192	23	22.42947	22.42947	NUM
easat-3415	192	24	4.73598	4.73598	NUM
easat-3415	192	25	-0.42342	-0.42342	NOUN
easat-3415	192	26	svm	svm	VERB
easat-3415	192	27	3.16611	3.16611	NUM
easat-3415	192	28	15.81356	15.81356	NUM
easat-3415	192	29	3.97663	3.97663	NUM
easat-3415	192	30	-0.00356	-0.00356	NOUN
easat-3415	192	31	across	across	ADP
easat-3415	192	32	all	all	DET
easat-3415	192	33	the	the	DET
easat-3415	192	34	network	network	NOUN
easat-3415	192	35	technologies	technology	NOUN
easat-3415	192	36	analyzed	analyze	VERB
easat-3415	192	37	,	,	PUNCT
easat-3415	192	38	3	3	NUM
easat-3415	192	39	g	g	NOUN
easat-3415	192	40	,	,	PUNCT
easat-3415	192	41	4	4	NUM
easat-3415	192	42	g	g	NOUN
easat-3415	192	43	,	,	PUNCT
easat-3415	192	44	5	5	NUM
easat-3415	192	45	g	g	NOUN
easat-3415	192	46	,	,	PUNCT
easat-3415	192	47	and	and	CCONJ
easat-3415	192	48	lte	lte	PROPN
easat-3415	192	49	,	,	PUNCT
easat-3415	192	50	linear	linear	ADJ
easat-3415	192	51	regression	regression	NOUN
easat-3415	192	52	steadily	steadily	ADV
easat-3415	192	53	emerged	emerge	VERB
easat-3415	192	54	as	as	ADP
easat-3415	192	55	the	the	DET
easat-3415	192	56	best	good	ADJ
easat-3415	192	57	performing	performing	NOUN
easat-3415	192	58	model	model	NOUN
easat-3415	192	59	for	for	ADP
easat-3415	192	60	predicting	predict	VERB
easat-3415	192	61	signal	signal	NOUN
easat-3415	192	62	strength	strength	NOUN
easat-3415	192	63	.	.	PUNCT
easat-3415	193	1	it	it	PRON
easat-3415	193	2	provided	provide	VERB
easat-3415	193	3	the	the	DET
easat-3415	193	4	most	most	ADV
easat-3415	193	5	accurate	accurate	ADJ
easat-3415	193	6	predictions	prediction	NOUN
easat-3415	193	7	with	with	ADP
easat-3415	193	8	the	the	DET
easat-3415	193	9	lowest	low	ADJ
easat-3415	193	10	error	error	NOUN
easat-3415	193	11	metrics	metric	NOUN
easat-3415	193	12	and	and	CCONJ
easat-3415	193	13	the	the	DET
easat-3415	193	14	least	least	ADJ
easat-3415	193	15	negative	negative	ADJ
easat-3415	193	16	(	(	PUNCT
easat-3415	193	17	or	or	CCONJ
easat-3415	193	18	slightly	slightly	ADV
easat-3415	193	19	positive	positive	ADJ
easat-3415	193	20	)	)	PUNCT
easat-3415	193	21	r2	r2	NOUN
easat-3415	193	22	scores	score	NOUN
easat-3415	193	23	.	.	PUNCT
easat-3415	194	1	in	in	ADP
easat-3415	194	2	contrast	contrast	NOUN
easat-3415	194	3	,	,	PUNCT
easat-3415	194	4	decision	decision	NOUN
easat-3415	194	5	tree	tree	NOUN
easat-3415	194	6	models	model	NOUN
easat-3415	194	7	demonstrate	demonstrate	VERB
easat-3415	194	8	poor	poor	ADJ
easat-3415	194	9	performance	performance	NOUN
easat-3415	194	10	across	across	ADP
easat-3415	194	11	the	the	DET
easat-3415	194	12	board	board	NOUN
easat-3415	194	13	,	,	PUNCT
easat-3415	194	14	indicating	indicate	VERB
easat-3415	194	15	that	that	SCONJ
easat-3415	194	16	they	they	PRON
easat-3415	194	17	are	be	AUX
easat-3415	194	18	not	not	PART
easat-3415	194	19	well	well	ADV
easat-3415	194	20	-	-	PUNCT
easat-3415	194	21	suited	suit	VERB
easat-3415	194	22	for	for	ADP
easat-3415	194	23	this	this	DET
easat-3415	194	24	particular	particular	ADJ
easat-3415	194	25	task	task	NOUN
easat-3415	194	26	.	.	PUNCT
easat-3415	195	1	random	random	ADJ
easat-3415	195	2	forest	forest	NOUN
easat-3415	195	3	and	and	CCONJ
easat-3415	195	4	support	support	VERB
easat-3415	195	5	vector	vector	NOUN
easat-3415	195	6	machine	machine	NOUN
easat-3415	195	7	models	model	NOUN
easat-3415	195	8	show	show	VERB
easat-3415	195	9	moderate	moderate	ADJ
easat-3415	195	10	performance	performance	NOUN
easat-3415	195	11	,	,	PUNCT
easat-3415	195	12	falling	fall	VERB
easat-3415	195	13	somewhere	somewhere	ADV
easat-3415	195	14	between	between	ADP
easat-3415	195	15	the	the	DET
easat-3415	195	16	effectiveness	effectiveness	NOUN
easat-3415	195	17	of	of	ADP
easat-3415	195	18	linear	linear	ADJ
easat-3415	195	19	regression	regression	NOUN
easat-3415	195	20	and	and	CCONJ
easat-3415	195	21	the	the	DET
easat-3415	195	22	inadequacy	inadequacy	NOUN
easat-3415	195	23	of	of	ADP
easat-3415	195	24	the	the	DET
easat-3415	195	25	decision	decision	NOUN
easat-3415	195	26	trees	tree	NOUN
easat-3415	195	27	.	.	PUNCT
easat-3415	196	1	figure	figure	NOUN
easat-3415	196	2	2	2	NUM
easat-3415	196	3	.	.	PUNCT
easat-3415	197	1	lte	lte	PROPN
easat-3415	197	2	linear	linear	PROPN
easat-3415	197	3	regression	regression	PROPN
easat-3415	197	4	signal	signal	NOUN
easat-3415	197	5	strength	strength	NOUN
easat-3415	197	6	prediction	prediction	NOUN
easat-3415	197	7	.	.	PUNCT
easat-3415	198	1	figure	figure	NOUN
easat-3415	198	2	3	3	NUM
easat-3415	198	3	.	.	PUNCT
easat-3415	199	1	lte	lte	PROPN
easat-3415	199	2	decision	decision	PROPN
easat-3415	199	3	tree	tree	NOUN
easat-3415	199	4	signal	signal	NOUN
easat-3415	199	5	strength	strength	NOUN
easat-3415	199	6	prediction	prediction	NOUN
easat-3415	199	7	.	.	PUNCT
easat-3415	200	1	this	this	DET
easat-3415	200	2	analysis	analysis	NOUN
easat-3415	200	3	indicates	indicate	VERB
easat-3415	200	4	that	that	SCONJ
easat-3415	200	5	for	for	ADP
easat-3415	200	6	tasks	task	NOUN
easat-3415	200	7	involving	involve	VERB
easat-3415	200	8	the	the	DET
easat-3415	200	9	prediction	prediction	NOUN
easat-3415	200	10	of	of	ADP
easat-3415	200	11	signal	signal	NOUN
easat-3415	200	12	strength	strength	NOUN
easat-3415	200	13	,	,	PUNCT
easat-3415	200	14	linear	linear	ADJ
easat-3415	200	15	regression	regression	NOUN
easat-3415	200	16	is	be	AUX
easat-3415	200	17	the	the	DET
easat-3415	200	18	most	most	ADV
easat-3415	200	19	reliable	reliable	ADJ
easat-3415	200	20	model	model	NOUN
easat-3415	200	21	to	to	PART
easat-3415	200	22	use	use	VERB
easat-3415	200	23	across	across	ADP
easat-3415	200	24	different	different	ADJ
easat-3415	200	25	network	network	NOUN
easat-3415	200	26	types	type	NOUN
easat-3415	200	27	.	.	PUNCT
easat-3415	201	1	4.2	4.2	NUM
easat-3415	201	2	.	.	NOUN
easat-3415	201	3	time	time	PROPN
easat-3415	201	4	series	series	PROPN
easat-3415	201	5	results	result	NOUN
easat-3415	201	6	and	and	CCONJ
easat-3415	201	7	analysis	analysis	NOUN
easat-3415	201	8	for	for	ADP
easat-3415	201	9	the	the	DET
easat-3415	201	10	time	time	NOUN
easat-3415	201	11	-	-	PUNCT
easat-3415	201	12	series	series	NOUN
easat-3415	201	13	,	,	PUNCT
easat-3415	201	14	the	the	DET
easat-3415	201	15	results	result	NOUN
easat-3415	201	16	in	in	ADP
easat-3415	201	17	tables	table	NOUN
easat-3415	201	18	v	v	NOUN
easat-3415	201	19	through	through	ADP
easat-3415	201	20	viii	viii	ADJ
easat-3415	201	21	present	present	NOUN
easat-3415	201	22	a	a	DET
easat-3415	201	23	comparative	comparative	ADJ
easat-3415	201	24	analysis	analysis	NOUN
easat-3415	201	25	of	of	ADP
easat-3415	201	26	the	the	DET
easat-3415	201	27	performance	performance	NOUN
easat-3415	201	28	of	of	ADP
easat-3415	201	29	several	several	ADJ
easat-3415	201	30	time	time	NOUN
easat-3415	201	31	-	-	PUNCT
easat-3415	201	32	series	series	NOUN
easat-3415	201	33	models	model	NOUN
easat-3415	201	34	:	:	PUNCT
easat-3415	201	35	arima	arima	PROPN
easat-3415	201	36	,	,	PUNCT
easat-3415	201	37	holt	holt	PROPN
easat-3415	201	38	-	-	PUNCT
easat-3415	201	39	winters	winter	NOUN
easat-3415	201	40	,	,	PUNCT
easat-3415	201	41	prophet	prophet	NOUN
easat-3415	201	42	,	,	PUNCT
easat-3415	201	43	and	and	CCONJ
easat-3415	201	44	lstm	lstm	NOUN
easat-3415	201	45	across	across	ADP
easat-3415	201	46	various	various	ADJ
easat-3415	201	47	6637	6637	NUM
easat-3415	201	48	edelweiss	edelweiss	PROPN
easat-3415	201	49	applied	apply	VERB
easat-3415	201	50	science	science	NOUN
easat-3415	201	51	and	and	CCONJ
easat-3415	201	52	technology	technology	NOUN
easat-3415	201	53	issn	issn	PROPN
easat-3415	201	54	:	:	PUNCT
easat-3415	201	55	2576	2576	NUM
easat-3415	201	56	-	-	SYM
easat-3415	201	57	8484	8484	NUM
easat-3415	201	58	vol	vol	NOUN
easat-3415	201	59	.	.	PROPN
easat-3415	201	60	8	8	NUM
easat-3415	201	61	,	,	PUNCT
easat-3415	201	62	no	no	INTJ
easat-3415	201	63	.	.	NOUN
easat-3415	202	1	6	6	NUM
easat-3415	202	2	:	:	SYM
easat-3415	202	3	6625	6625	NUM
easat-3415	202	4	-	-	SYM
easat-3415	202	5	6643	6643	NUM
easat-3415	202	6	,	,	PUNCT
easat-3415	202	7	2024	2024	NUM
easat-3415	202	8	doi	doi	NOUN
easat-3415	202	9	:	:	PUNCT
easat-3415	202	10	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	202	11	©	©	PROPN
easat-3415	202	12	2024	2024	NUM
easat-3415	202	13	by	by	ADP
easat-3415	202	14	the	the	DET
easat-3415	202	15	author	author	NOUN
easat-3415	202	16	;	;	PUNCT
easat-3415	202	17	licensee	licensee	PROPN
easat-3415	202	18	learning	learn	VERB
easat-3415	202	19	gate	gate	PROPN
easat-3415	202	20	network	network	NOUN
easat-3415	202	21	technologies	technology	NOUN
easat-3415	202	22	:	:	PUNCT
easat-3415	202	23	3	3	NUM
easat-3415	202	24	g	g	NOUN
easat-3415	202	25	,	,	PUNCT
easat-3415	202	26	4	4	NUM
easat-3415	202	27	g	g	NOUN
easat-3415	202	28	,	,	PUNCT
easat-3415	202	29	5	5	NUM
easat-3415	202	30	g	g	NOUN
easat-3415	202	31	,	,	PUNCT
easat-3415	202	32	and	and	CCONJ
easat-3415	202	33	lte	lte	PROPN
easat-3415	202	34	.	.	PROPN
easat-3415	203	1	these	these	DET
easat-3415	203	2	tables	table	NOUN
easat-3415	203	3	provide	provide	VERB
easat-3415	203	4	insights	insight	NOUN
easat-3415	203	5	into	into	ADP
easat-3415	203	6	how	how	SCONJ
easat-3415	203	7	well	well	ADV
easat-3415	203	8	each	each	DET
easat-3415	203	9	model	model	NOUN
easat-3415	203	10	predicts	predict	NOUN
easat-3415	203	11	signal	signal	VERB
easat-3415	203	12	strength	strength	NOUN
easat-3415	203	13	in	in	ADP
easat-3415	203	14	different	different	ADJ
easat-3415	203	15	types	type	NOUN
easat-3415	203	16	of	of	ADP
easat-3415	203	17	mobile	mobile	ADJ
easat-3415	203	18	networks	network	NOUN
easat-3415	203	19	.	.	PUNCT
easat-3415	204	1	table	table	NOUN
easat-3415	204	2	5	5	NUM
easat-3415	204	3	.	.	NOUN
easat-3415	204	4	3	3	NUM
easat-3415	204	5	g.	g.	PROPN
easat-3415	204	6	model	model	NOUN
easat-3415	204	7	mae	mae	PROPN
easat-3415	204	8	mse	mse	PROPN
easat-3415	204	9	rmse	rmse	PROPN
easat-3415	204	10	r2	r2	PROPN
easat-3415	204	11	arima	arima	PROPN
easat-3415	204	12	1.96226	1.96226	NUM
easat-3415	204	13	7.81095	7.81095	NUM
easat-3415	204	14	2.79481	2.79481	NUM
easat-3415	204	15	-0.09629	-0.09629	X
easat-3415	204	16	holt	holt	PROPN
easat-3415	204	17	-	-	PUNCT
easat-3415	204	18	winters	winters	PROPN
easat-3415	204	19	2.74906	2.74906	NUM
easat-3415	204	20	11.90074	11.90074	NUM
easat-3415	204	21	3.44974	3.44974	NUM
easat-3415	204	22	-0.30255	-0.30255	NOUN
easat-3415	204	23	prophet	prophet	NOUN
easat-3415	204	24	5.1e+11	5.1e+11	NUM
easat-3415	204	25	3.4e+23	3.4e+23	NUM
easat-3415	204	26	5.8e+11	5.8e+11	NUM
easat-3415	204	27	-3.7e+22	-3.7e+22	PROPN
easat-3415	204	28	lstm	lstm	PROPN
easat-3415	204	29	2.47426	2.47426	NUM
easat-3415	204	30	9.16039	9.16039	NUM
easat-3415	204	31	3.02661	3.02661	NUM
easat-3415	204	32	-0.01619	-0.01619	NOUN
easat-3415	204	33	table	table	NOUN
easat-3415	204	34	6	6	NUM
easat-3415	204	35	.	.	NOUN
easat-3415	204	36	4	4	NUM
easat-3415	204	37	g.	g.	PROPN
easat-3415	204	38	model	model	NOUN
easat-3415	204	39	mae	mae	PROPN
easat-3415	204	40	mse	mse	PROPN
easat-3415	204	41	rmse	rmse	PROPN
easat-3415	204	42	r2	r2	PROPN
easat-3415	204	43	arima	arima	PROPN
easat-3415	204	44	3.08521	3.08521	NUM
easat-3415	204	45	16.88186	16.88186	NUM
easat-3415	204	46	4.10875	4.10875	NUM
easat-3415	204	47	-0.18446	-0.18446	NOUN
easat-3415	204	48	holt	holt	NOUN
easat-3415	204	49	-	-	PUNCT
easat-3415	204	50	winters	winters	PROPN
easat-3415	204	51	3.52352	3.52352	NUM
easat-3415	204	52	19.22481	19.22481	NUM
easat-3415	204	53	4.38461	4.38461	NUM
easat-3415	204	54	-0.17002	-0.17002	NOUN
easat-3415	204	55	prophet	prophet	NOUN
easat-3415	204	56	3.25537	3.25537	NUM
easat-3415	204	57	16.41435	16.41435	NUM
easat-3415	204	58	4.05146	4.05146	NUM
easat-3415	204	59	0.00102	0.00102	NUM
easat-3415	204	60	lstm	lstm	ADJ
easat-3415	204	61	3.28256	3.28256	NUM
easat-3415	204	62	16.91177	16.91177	NUM
easat-3415	204	63	4.11239	4.11239	NUM
easat-3415	204	64	-0.04093	-0.04093	NOUN
easat-3415	204	65	table	table	NOUN
easat-3415	204	66	7	7	NUM
easat-3415	204	67	.	.	SYM
easat-3415	204	68	5	5	NUM
easat-3415	204	69	g.	g.	PROPN
easat-3415	204	70	model	model	NOUN
easat-3415	204	71	mae	mae	PROPN
easat-3415	204	72	mse	mse	PROPN
easat-3415	204	73	rmse	rmse	PROPN
easat-3415	204	74	r2	r2	PROPN
easat-3415	204	75	arima	arima	PROPN
easat-3415	204	76	4.73714	4.73714	NUM
easat-3415	204	77	34.10862	34.10862	NUM
easat-3415	204	78	5.84026	5.84026	NUM
easat-3415	204	79	0.00045	0.00045	NUM
easat-3415	204	80	holt	holt	NOUN
easat-3415	204	81	-	-	PUNCT
easat-3415	204	82	winters	winters	PROPN
easat-3415	204	83	4.18916	4.18916	NUM
easat-3415	204	84	27.15697	27.15697	NUM
easat-3415	204	85	5.21123	5.21123	NUM
easat-3415	204	86	-0.15387	-0.15387	NOUN
easat-3415	204	87	prophet	prophet	NOUN
easat-3415	204	88	3.87824	3.87824	NUM
easat-3415	204	89	23.61668	23.61668	NUM
easat-3415	204	90	4.85970	4.85970	NUM
easat-3415	204	91	-0.00345	-0.00345	NOUN
easat-3415	204	92	lstm	lstm	VERB
easat-3415	204	93	3.93363	3.93363	NUM
easat-3415	204	94	24.22849	24.22849	NUM
easat-3415	204	95	4.92224	4.92224	NUM
easat-3415	204	96	-0.00014	-0.00014	NOUN
easat-3415	204	97	table	table	NOUN
easat-3415	204	98	8	8	NUM
easat-3415	204	99	.	.	PUNCT
easat-3415	205	1	lte	lte	PROPN
easat-3415	205	2	.	.	PROPN
easat-3415	205	3	model	model	PROPN
easat-3415	205	4	mae	mae	PROPN
easat-3415	205	5	mse	mse	PROPN
easat-3415	205	6	rmse	rmse	PROPN
easat-3415	205	7	r2	r2	PROPN
easat-3415	205	8	arima	arima	PROPN
easat-3415	205	9	3.69090	3.69090	NUM
easat-3415	205	10	18.07970	18.07970	NUM
easat-3415	205	11	4.25202	4.25202	NUM
easat-3415	205	12	-0.03518	-0.03518	NOUN
easat-3415	205	13	holt	holt	PROPN
easat-3415	205	14	-	-	PUNCT
easat-3415	205	15	winters	winters	PROPN
easat-3415	205	16	5.03822	5.03822	NUM
easat-3415	205	17	39.69271	39.69271	NUM
easat-3415	205	18	6.30021	6.30021	NUM
easat-3415	205	19	-1.46259	-1.46259	NOUN
easat-3415	205	20	prophet	prophet	NOUN
easat-3415	205	21	3.28218	3.28218	NUM
easat-3415	205	22	16.29148	16.29148	NUM
easat-3415	205	23	4.03627	4.03627	NUM
easat-3415	205	24	-0.01074	-0.01074	NOUN
easat-3415	205	25	lstm	lstm	VERB
easat-3415	205	26	3.11807	3.11807	NUM
easat-3415	205	27	15.65761	15.65761	NUM
easat-3415	205	28	3.95697	3.95697	NUM
easat-3415	205	29	-0.01598	-0.01598	NOUN
easat-3415	205	30	across	across	ADP
easat-3415	205	31	all	all	DET
easat-3415	205	32	networks	network	NOUN
easat-3415	205	33	,	,	PUNCT
easat-3415	205	34	no	no	DET
easat-3415	205	35	model	model	NOUN
easat-3415	205	36	consistently	consistently	ADV
easat-3415	205	37	performs	perform	VERB
easat-3415	205	38	the	the	DET
easat-3415	205	39	best	good	ADJ
easat-3415	205	40	,	,	PUNCT
easat-3415	205	41	but	but	CCONJ
easat-3415	205	42	lstm	lstm	NOUN
easat-3415	205	43	generally	generally	ADV
easat-3415	205	44	shows	show	VERB
easat-3415	205	45	a	a	DET
easat-3415	205	46	more	more	ADV
easat-3415	205	47	stable	stable	ADJ
easat-3415	205	48	performance	performance	NOUN
easat-3415	205	49	compared	compare	VERB
easat-3415	205	50	to	to	ADP
easat-3415	205	51	the	the	DET
easat-3415	205	52	others	other	NOUN
easat-3415	205	53	,	,	PUNCT
easat-3415	205	54	particularly	particularly	ADV
easat-3415	205	55	in	in	ADP
easat-3415	205	56	the	the	DET
easat-3415	205	57	lte	lte	PROPN
easat-3415	205	58	and	and	CCONJ
easat-3415	205	59	5	5	NUM
easat-3415	205	60	g	g	NOUN
easat-3415	205	61	networks	network	NOUN
easat-3415	205	62	.	.	PUNCT
easat-3415	206	1	prophet	prophet	NOUN
easat-3415	206	2	performance	performance	NOUN
easat-3415	206	3	is	be	AUX
easat-3415	206	4	inconsistent	inconsistent	ADJ
easat-3415	206	5	,	,	PUNCT
easat-3415	206	6	with	with	ADP
easat-3415	206	7	very	very	ADV
easat-3415	206	8	poor	poor	ADJ
easat-3415	206	9	results	result	NOUN
easat-3415	206	10	in	in	ADP
easat-3415	206	11	3	3	NUM
easat-3415	206	12	g	g	NOUN
easat-3415	206	13	networks	network	NOUN
easat-3415	206	14	and	and	CCONJ
easat-3415	206	15	better	well	ADJ
easat-3415	206	16	performance	performance	NOUN
easat-3415	206	17	in	in	ADP
easat-3415	206	18	4	4	NUM
easat-3415	206	19	g	g	NOUN
easat-3415	206	20	and	and	CCONJ
easat-3415	206	21	5	5	NUM
easat-3415	206	22	g	g	NOUN
easat-3415	206	23	networks	network	NOUN
easat-3415	206	24	.	.	PUNCT
easat-3415	207	1	arima	arima	PROPN
easat-3415	207	2	shows	show	VERB
easat-3415	207	3	a	a	DET
easat-3415	207	4	slightly	slightly	ADV
easat-3415	207	5	better	well	ADJ
easat-3415	207	6	performance	performance	NOUN
easat-3415	207	7	in	in	ADP
easat-3415	207	8	5	5	NUM
easat-3415	207	9	g	g	NOUN
easat-3415	207	10	and	and	CCONJ
easat-3415	207	11	lte	lte	PROPN
easat-3415	207	12	networks	network	NOUN
easat-3415	207	13	,	,	PUNCT
easat-3415	207	14	with	with	ADP
easat-3415	207	15	only	only	ADV
easat-3415	207	16	a	a	DET
easat-3415	207	17	positive	positive	ADJ
easat-3415	207	18	r2	r2	NOUN
easat-3415	207	19	score	score	NOUN
easat-3415	207	20	in	in	ADP
easat-3415	207	21	5	5	NUM
easat-3415	207	22	g.	g.	PROPN
easat-3415	207	23	holt	holt	PROPN
easat-3415	207	24	-	-	PUNCT
easat-3415	207	25	winters	winter	NOUN
easat-3415	207	26	consistently	consistently	ADV
easat-3415	207	27	underperforms	underperform	VERB
easat-3415	207	28	,	,	PUNCT
easat-3415	207	29	particularly	particularly	ADV
easat-3415	207	30	in	in	ADP
easat-3415	207	31	lte	lte	PROPN
easat-3415	207	32	networks	network	NOUN
easat-3415	207	33	.	.	PUNCT
easat-3415	208	1	the	the	DET
easat-3415	208	2	r2	r2	PROPN
easat-3415	208	3	scores	score	NOUN
easat-3415	208	4	were	be	AUX
easat-3415	208	5	predominantly	predominantly	ADV
easat-3415	208	6	negative	negative	ADJ
easat-3415	208	7	across	across	ADP
easat-3415	208	8	all	all	DET
easat-3415	208	9	models	model	NOUN
easat-3415	208	10	and	and	CCONJ
easat-3415	208	11	networks	network	NOUN
easat-3415	208	12	,	,	PUNCT
easat-3415	208	13	indicating	indicate	VERB
easat-3415	208	14	that	that	SCONJ
easat-3415	208	15	the	the	DET
easat-3415	208	16	models	model	NOUN
easat-3415	208	17	struggled	struggle	VERB
easat-3415	208	18	to	to	PART
easat-3415	208	19	explain	explain	VERB
easat-3415	208	20	the	the	DET
easat-3415	208	21	variance	variance	NOUN
easat-3415	208	22	in	in	ADP
easat-3415	208	23	the	the	DET
easat-3415	208	24	signal	signal	NOUN
easat-3415	208	25	strength	strength	NOUN
easat-3415	208	26	data	datum	NOUN
easat-3415	208	27	effectively	effectively	ADV
easat-3415	208	28	.	.	PUNCT
easat-3415	209	1	this	this	PRON
easat-3415	209	2	implies	imply	VERB
easat-3415	209	3	potential	potential	ADJ
easat-3415	209	4	overfitting	overfitting	NOUN
easat-3415	209	5	or	or	CCONJ
easat-3415	209	6	underfitting	underfitting	NOUN
easat-3415	209	7	issues	issue	NOUN
easat-3415	209	8	,	,	PUNCT
easat-3415	209	9	depending	depend	VERB
easat-3415	209	10	on	on	ADP
easat-3415	209	11	the	the	DET
easat-3415	209	12	model	model	NOUN
easat-3415	209	13	and	and	CCONJ
easat-3415	209	14	the	the	DET
easat-3415	209	15	network	network	NOUN
easat-3415	209	16	.	.	PUNCT
easat-3415	210	1	the	the	DET
easat-3415	210	2	mae	mae	PROPN
easat-3415	210	3	and	and	CCONJ
easat-3415	210	4	rmse	rmse	PROPN
easat-3415	210	5	values	value	NOUN
easat-3415	210	6	further	far	ADV
easat-3415	210	7	highlight	highlight	VERB
easat-3415	210	8	that	that	SCONJ
easat-3415	210	9	the	the	DET
easat-3415	210	10	model	model	NOUN
easat-3415	210	11	predictions	prediction	NOUN
easat-3415	210	12	differ	differ	VERB
easat-3415	210	13	significantly	significantly	ADV
easat-3415	210	14	from	from	ADP
easat-3415	210	15	the	the	DET
easat-3415	210	16	actual	actual	ADJ
easat-3415	210	17	signal	signal	NOUN
easat-3415	210	18	strengths	strength	NOUN
easat-3415	210	19	,	,	PUNCT
easat-3415	210	20	particularly	particularly	ADV
easat-3415	210	21	for	for	ADP
easat-3415	210	22	more	more	ADJ
easat-3415	210	23	complex	complex	ADJ
easat-3415	210	24	network	network	NOUN
easat-3415	210	25	technologies	technology	NOUN
easat-3415	210	26	such	such	ADJ
easat-3415	210	27	as	as	ADP
easat-3415	210	28	5	5	NUM
easat-3415	210	29	g	g	NOUN
easat-3415	210	30	and	and	CCONJ
easat-3415	210	31	lte	lte	PROPN
easat-3415	210	32	.	.	PROPN
easat-3415	210	33	6638	6638	NUM
easat-3415	210	34	edelweiss	edelweiss	PROPN
easat-3415	210	35	applied	apply	VERB
easat-3415	210	36	science	science	NOUN
easat-3415	210	37	and	and	CCONJ
easat-3415	210	38	technology	technology	NOUN
easat-3415	210	39	issn	issn	PROPN
easat-3415	210	40	:	:	PUNCT
easat-3415	210	41	2576	2576	NUM
easat-3415	210	42	-	-	SYM
easat-3415	210	43	8484	8484	NUM
easat-3415	210	44	vol	vol	NOUN
easat-3415	210	45	.	.	PROPN
easat-3415	211	1	8	8	NUM
easat-3415	211	2	,	,	PUNCT
easat-3415	211	3	no	no	INTJ
easat-3415	211	4	.	.	NOUN
easat-3415	212	1	6	6	NUM
easat-3415	212	2	:	:	SYM
easat-3415	212	3	6625	6625	NUM
easat-3415	212	4	-	-	SYM
easat-3415	212	5	6643	6643	NUM
easat-3415	212	6	,	,	PUNCT
easat-3415	212	7	2024	2024	NUM
easat-3415	212	8	doi	doi	NOUN
easat-3415	212	9	:	:	PUNCT
easat-3415	212	10	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	212	11	©	©	PROPN
easat-3415	212	12	2024	2024	NUM
easat-3415	212	13	by	by	ADP
easat-3415	212	14	the	the	DET
easat-3415	212	15	author	author	NOUN
easat-3415	212	16	;	;	PUNCT
easat-3415	213	1	licensee	licensee	PROPN
easat-3415	213	2	learning	learn	VERB
easat-3415	213	3	gate	gate	NOUN
easat-3415	213	4	figure	figure	NOUN
easat-3415	213	5	4	4	NUM
easat-3415	213	6	.	.	PUNCT
easat-3415	213	7	lstm	lstm	PROPN
easat-3415	213	8	signal	signal	NOUN
easat-3415	213	9	strength	strength	NOUN
easat-3415	213	10	prediction	prediction	NOUN
easat-3415	213	11	for	for	ADP
easat-3415	213	12	lte	lte	PROPN
easat-3415	213	13	.	.	PROPN
easat-3415	213	14	figure	figure	PROPN
easat-3415	213	15	5	5	NUM
easat-3415	213	16	.	.	PUNCT
easat-3415	213	17	prophet	prophet	NOUN
easat-3415	213	18	signal	signal	NOUN
easat-3415	213	19	strength	strength	NOUN
easat-3415	213	20	prediction	prediction	NOUN
easat-3415	213	21	for	for	ADP
easat-3415	213	22	lte	lte	PROPN
easat-3415	213	23	.	.	PUNCT
easat-3415	214	1	these	these	DET
easat-3415	214	2	results	result	NOUN
easat-3415	214	3	highlight	highlight	VERB
easat-3415	214	4	the	the	DET
easat-3415	214	5	challenges	challenge	NOUN
easat-3415	214	6	of	of	ADP
easat-3415	214	7	predicting	predict	VERB
easat-3415	214	8	the	the	DET
easat-3415	214	9	signal	signal	ADJ
easat-3415	214	10	strength	strength	NOUN
easat-3415	214	11	across	across	ADP
easat-3415	214	12	different	different	ADJ
easat-3415	214	13	network	network	NOUN
easat-3415	214	14	technologies	technology	NOUN
easat-3415	214	15	and	and	CCONJ
easat-3415	214	16	underscore	underscore	VERB
easat-3415	214	17	the	the	DET
easat-3415	214	18	need	need	NOUN
easat-3415	214	19	for	for	ADP
easat-3415	214	20	careful	careful	ADJ
easat-3415	214	21	model	model	NOUN
easat-3415	214	22	selection	selection	NOUN
easat-3415	214	23	and	and	CCONJ
easat-3415	214	24	tuning	tune	VERB
easat-3415	214	25	to	to	PART
easat-3415	214	26	achieve	achieve	VERB
easat-3415	214	27	better	well	ADJ
easat-3415	214	28	performance	performance	NOUN
easat-3415	214	29	.	.	PUNCT
easat-3415	215	1	4.3	4.3	NUM
easat-3415	215	2	.	.	PUNCT
easat-3415	215	3	hybrid	hybrid	ADJ
easat-3415	215	4	approach	approach	NOUN
easat-3415	215	5	results	result	NOUN
easat-3415	215	6	and	and	CCONJ
easat-3415	215	7	analysis	analysis	NOUN
easat-3415	215	8	in	in	ADP
easat-3415	215	9	the	the	DET
easat-3415	215	10	context	context	NOUN
easat-3415	215	11	of	of	ADP
easat-3415	215	12	mobile	mobile	ADJ
easat-3415	215	13	networks	network	NOUN
easat-3415	215	14	,	,	PUNCT
easat-3415	215	15	signal	signal	NOUN
easat-3415	215	16	strength	strength	NOUN
easat-3415	215	17	is	be	AUX
easat-3415	215	18	a	a	DET
easat-3415	215	19	critical	critical	ADJ
easat-3415	215	20	parameter	parameter	NOUN
easat-3415	215	21	that	that	PRON
easat-3415	215	22	reflects	reflect	VERB
easat-3415	215	23	the	the	DET
easat-3415	215	24	quality	quality	NOUN
easat-3415	215	25	of	of	ADP
easat-3415	215	26	the	the	DET
easat-3415	215	27	connection	connection	NOUN
easat-3415	215	28	between	between	ADP
easat-3415	215	29	a	a	DET
easat-3415	215	30	mobile	mobile	ADJ
easat-3415	215	31	device	device	NOUN
easat-3415	215	32	and	and	CCONJ
easat-3415	215	33	cell	cell	NOUN
easat-3415	215	34	tower	tower	NOUN
easat-3415	215	35	.	.	PUNCT
easat-3415	216	1	accurately	accurately	ADV
easat-3415	216	2	predicting	predict	VERB
easat-3415	216	3	signal	signal	NOUN
easat-3415	216	4	strength	strength	NOUN
easat-3415	216	5	over	over	ADP
easat-3415	216	6	time	time	NOUN
easat-3415	216	7	is	be	AUX
easat-3415	216	8	essential	essential	ADJ
easat-3415	216	9	for	for	ADP
easat-3415	216	10	optimizing	optimize	VERB
easat-3415	216	11	network	network	NOUN
easat-3415	216	12	performance	performance	NOUN
easat-3415	216	13	,	,	PUNCT
easat-3415	216	14	enhancing	enhance	VERB
easat-3415	216	15	user	user	NOUN
easat-3415	216	16	experience	experience	NOUN
easat-3415	216	17	,	,	PUNCT
easat-3415	216	18	and	and	CCONJ
easat-3415	216	19	efficiently	efficiently	ADV
easat-3415	216	20	managing	manage	VERB
easat-3415	216	21	network	network	NOUN
easat-3415	216	22	resources	resource	NOUN
easat-3415	216	23	.	.	PUNCT
easat-3415	217	1	this	this	DET
easat-3415	217	2	study	study	NOUN
easat-3415	217	3	’s	’s	PART
easat-3415	217	4	hybrid	hybrid	NOUN
easat-3415	217	5	prediction	prediction	NOUN
easat-3415	217	6	approach	approach	NOUN
easat-3415	217	7	combines	combine	VERB
easat-3415	217	8	clustering	clustering	NOUN
easat-3415	217	9	and	and	CCONJ
easat-3415	217	10	a	a	DET
easat-3415	217	11	time	time	NOUN
easat-3415	217	12	-	-	PUNCT
easat-3415	217	13	series	series	NOUN
easat-3415	217	14	model	model	NOUN
easat-3415	217	15	which	which	PRON
easat-3415	217	16	make	make	VERB
easat-3415	217	17	it	it	PRON
easat-3415	217	18	better	well	ADV
easat-3415	217	19	suited	suit	VERB
easat-3415	217	20	for	for	ADP
easat-3415	217	21	the	the	DET
easat-3415	217	22	dynamic	dynamic	ADJ
easat-3415	217	23	and	and	CCONJ
easat-3415	217	24	variable	variable	ADJ
easat-3415	217	25	environments	environment	NOUN
easat-3415	217	26	of	of	ADP
easat-3415	217	27	advanced	advanced	ADJ
easat-3415	217	28	mobile	mobile	ADJ
easat-3415	217	29	networks	network	NOUN
easat-3415	217	30	like	like	ADP
easat-3415	217	31	5	5	NUM
easat-3415	217	32	g	g	NOUN
easat-3415	217	33	networks	network	NOUN
easat-3415	217	34	.	.	PUNCT
easat-3415	218	1	this	this	DET
easat-3415	218	2	approach	approach	NOUN
easat-3415	218	3	begins	begin	VERB
easat-3415	218	4	with	with	ADP
easat-3415	218	5	clustering	clustering	NOUN
easat-3415	218	6	,	,	PUNCT
easat-3415	218	7	where	where	SCONJ
easat-3415	218	8	we	we	PRON
easat-3415	218	9	group	group	NOUN
easat-3415	218	10	areas	area	NOUN
easat-3415	218	11	or	or	CCONJ
easat-3415	218	12	time	time	NOUN
easat-3415	218	13	periods	period	NOUN
easat-3415	218	14	with	with	ADP
easat-3415	218	15	similar	similar	ADJ
easat-3415	218	16	signal	signal	NOUN
easat-3415	218	17	strength	strength	NOUN
easat-3415	218	18	patterns	pattern	NOUN
easat-3415	218	19	,	,	PUNCT
easat-3415	218	20	then	then	ADV
easat-3415	218	21	apply	apply	VERB
easat-3415	218	22	a	a	DET
easat-3415	218	23	time	time	NOUN
easat-3415	218	24	series	series	NOUN
easat-3415	218	25	model	model	NOUN
easat-3415	218	26	to	to	ADP
easat-3415	218	27	each	each	DET
easat-3415	218	28	cluster	cluster	NOUN
easat-3415	218	29	.	.	PUNCT
easat-3415	219	1	4.3.1	4.3.1	X
easat-3415	219	2	.	.	NOUN
easat-3415	219	3	clustering	cluster	VERB
easat-3415	219	4	clustering	clustering	NOUN
easat-3415	219	5	,	,	PUNCT
easat-3415	219	6	as	as	ADP
easat-3415	219	7	an	an	DET
easat-3415	219	8	unsupervised	unsupervised	ADJ
easat-3415	219	9	ml	ml	NOUN
easat-3415	219	10	technique	technique	NOUN
easat-3415	219	11	,	,	PUNCT
easat-3415	219	12	is	be	AUX
easat-3415	219	13	mostly	mostly	ADV
easat-3415	219	14	used	use	VERB
easat-3415	219	15	for	for	ADP
easat-3415	219	16	discovering	discover	VERB
easat-3415	219	17	patterns	pattern	NOUN
easat-3415	219	18	in	in	ADP
easat-3415	219	19	dataset	dataset	NOUN
easat-3415	219	20	rather	rather	ADV
easat-3415	219	21	than	than	ADP
easat-3415	219	22	for	for	ADP
easat-3415	219	23	making	make	VERB
easat-3415	219	24	predictions	prediction	NOUN
easat-3415	219	25	as	as	SCONJ
easat-3415	219	26	supervised	supervise	VERB
easat-3415	219	27	ml	ml	AUX
easat-3415	219	28	algorithms	algorithm	NOUN
easat-3415	219	29	do	do	VERB
easat-3415	219	30	.	.	PUNCT
easat-3415	220	1	however	however	ADV
easat-3415	220	2	,	,	PUNCT
easat-3415	220	3	clustering	clustering	NOUN
easat-3415	220	4	can	can	AUX
easat-3415	220	5	still	still	ADV
easat-3415	220	6	play	play	VERB
easat-3415	220	7	a	a	DET
easat-3415	220	8	role	role	NOUN
easat-3415	220	9	in	in	ADP
easat-3415	220	10	prediction	prediction	NOUN
easat-3415	220	11	in	in	ADP
easat-3415	220	12	an	an	DET
easat-3415	220	13	indirect	indirect	ADJ
easat-3415	220	14	manner	manner	NOUN
easat-3415	220	15	,	,	PUNCT
easat-3415	220	16	often	often	ADV
easat-3415	220	17	by	by	ADP
easat-3415	220	18	enhancing	enhance	VERB
easat-3415	220	19	other	other	ADJ
easat-3415	220	20	ml	ml	NOUN
easat-3415	220	21	models	model	NOUN
easat-3415	220	22	or	or	CCONJ
easat-3415	220	23	enabling	enable	VERB
easat-3415	220	24	certain	certain	ADJ
easat-3415	220	25	types	type	NOUN
easat-3415	220	26	of	of	ADP
easat-3415	220	27	predictions	prediction	NOUN
easat-3415	220	28	.	.	PUNCT
easat-3415	221	1	k	k	X
easat-3415	221	2	-	-	PUNCT
easat-3415	221	3	means	means	ADJ
easat-3415	221	4	,	,	PUNCT
easat-3415	221	5	dbscan	dbscan	NOUN
easat-3415	221	6	,	,	PUNCT
easat-3415	221	7	and	and	CCONJ
easat-3415	221	8	agglomerative	agglomerative	ADJ
easat-3415	221	9	clustering	clustering	NOUN
easat-3415	221	10	are	be	AUX
easat-3415	221	11	three	three	NUM
easat-3415	221	12	commonly	commonly	ADV
easat-3415	221	13	used	use	VERB
easat-3415	221	14	clustering	clustering	NOUN
easat-3415	221	15	procedures	procedure	NOUN
easat-3415	221	16	,	,	PUNCT
easat-3415	221	17	respectively	respectively	ADV
easat-3415	221	18	suited	suit	VERB
easat-3415	221	19	to	to	ADP
easat-3415	221	20	different	different	ADJ
easat-3415	221	21	types	type	NOUN
easat-3415	221	22	of	of	ADP
easat-3415	221	23	data	datum	NOUN
easat-3415	221	24	and	and	CCONJ
easat-3415	221	25	applications	application	NOUN
easat-3415	221	26	.	.	PUNCT
easat-3415	222	1	k	k	X
easat-3415	222	2	-	-	PUNCT
easat-3415	222	3	means	mean	VERB
easat-3415	222	4	is	be	AUX
easat-3415	222	5	ideal	ideal	ADJ
easat-3415	222	6	for	for	ADP
easat-3415	222	7	large	large	ADJ
easat-3415	222	8	datasets	dataset	NOUN
easat-3415	222	9	where	where	SCONJ
easat-3415	222	10	the	the	DET
easat-3415	222	11	number	number	NOUN
easat-3415	222	12	of	of	ADP
easat-3415	222	13	clusters	cluster	NOUN
easat-3415	222	14	is	be	AUX
easat-3415	222	15	known	know	VERB
easat-3415	222	16	in	in	ADP
easat-3415	222	17	advance	advance	NOUN
easat-3415	222	18	and	and	CCONJ
easat-3415	222	19	the	the	DET
easat-3415	222	20	clusters	cluster	NOUN
easat-3415	222	21	are	be	AUX
easat-3415	222	22	spherical	spherical	ADJ
easat-3415	222	23	in	in	ADP
easat-3415	222	24	shape	shape	NOUN
easat-3415	222	25	.	.	PUNCT
easat-3415	223	1	dbscan	dbscan	PROPN
easat-3415	223	2	is	be	AUX
easat-3415	223	3	excellent	excellent	ADJ
easat-3415	223	4	for	for	ADP
easat-3415	223	5	identifying	identify	VERB
easat-3415	223	6	clusters	cluster	NOUN
easat-3415	223	7	of	of	ADP
easat-3415	223	8	arbitrary	arbitrary	ADJ
easat-3415	223	9	shapes	shape	NOUN
easat-3415	223	10	and	and	CCONJ
easat-3415	223	11	handling	handling	NOUN
easat-3415	223	12	noise	noise	NOUN
easat-3415	223	13	,	,	PUNCT
easat-3415	223	14	making	make	VERB
easat-3415	223	15	it	it	PRON
easat-3415	223	16	useful	useful	ADJ
easat-3415	223	17	6639	6639	NUM
easat-3415	223	18	edelweiss	edelweiss	PROPN
easat-3415	223	19	applied	apply	VERB
easat-3415	223	20	science	science	NOUN
easat-3415	223	21	and	and	CCONJ
easat-3415	223	22	technology	technology	NOUN
easat-3415	223	23	issn	issn	PROPN
easat-3415	223	24	:	:	PUNCT
easat-3415	223	25	2576	2576	NUM
easat-3415	223	26	-	-	SYM
easat-3415	223	27	8484	8484	NUM
easat-3415	223	28	vol	vol	NOUN
easat-3415	223	29	.	.	PROPN
easat-3415	223	30	8	8	NUM
easat-3415	223	31	,	,	PUNCT
easat-3415	223	32	no	no	INTJ
easat-3415	223	33	.	.	NOUN
easat-3415	224	1	6	6	NUM
easat-3415	224	2	:	:	SYM
easat-3415	224	3	6625	6625	NUM
easat-3415	224	4	-	-	SYM
easat-3415	224	5	6643	6643	NUM
easat-3415	224	6	,	,	PUNCT
easat-3415	224	7	2024	2024	NUM
easat-3415	224	8	doi	doi	NOUN
easat-3415	224	9	:	:	PUNCT
easat-3415	224	10	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	224	11	©	©	PROPN
easat-3415	224	12	2024	2024	NUM
easat-3415	224	13	by	by	ADP
easat-3415	224	14	the	the	DET
easat-3415	224	15	author	author	NOUN
easat-3415	224	16	;	;	PUNCT
easat-3415	224	17	licensee	licensee	NOUN
easat-3415	224	18	learning	learn	VERB
easat-3415	224	19	gate	gate	NOUN
easat-3415	224	20	for	for	ADP
easat-3415	224	21	applications	application	NOUN
easat-3415	224	22	involving	involve	VERB
easat-3415	224	23	complex	complex	ADJ
easat-3415	224	24	or	or	CCONJ
easat-3415	224	25	noisy	noisy	ADJ
easat-3415	224	26	data	datum	NOUN
easat-3415	224	27	.	.	PUNCT
easat-3415	225	1	agglomerative	agglomerative	ADJ
easat-3415	225	2	clustering	clustering	NOUN
easat-3415	225	3	provides	provide	VERB
easat-3415	225	4	a	a	DET
easat-3415	225	5	hierarchical	hierarchical	ADJ
easat-3415	225	6	approach	approach	NOUN
easat-3415	225	7	,	,	PUNCT
easat-3415	225	8	that	that	PRON
easat-3415	225	9	offers	offer	VERB
easat-3415	225	10	flexibility	flexibility	NOUN
easat-3415	225	11	and	and	CCONJ
easat-3415	225	12	interpretability	interpretability	NOUN
easat-3415	225	13	,	,	PUNCT
easat-3415	225	14	particularly	particularly	ADV
easat-3415	225	15	in	in	ADP
easat-3415	225	16	smaller	small	ADJ
easat-3415	225	17	datasets	dataset	NOUN
easat-3415	225	18	or	or	CCONJ
easat-3415	225	19	scenarios	scenario	NOUN
easat-3415	225	20	where	where	SCONJ
easat-3415	225	21	the	the	DET
easat-3415	225	22	cluster	cluster	NOUN
easat-3415	225	23	hierarchy	hierarchy	NOUN
easat-3415	225	24	is	be	AUX
easat-3415	225	25	of	of	ADP
easat-3415	225	26	interest	interest	NOUN
easat-3415	225	27	.	.	PUNCT
easat-3415	226	1	clustering	clustering	NOUN
easat-3415	226	2	facilitates	facilitate	VERB
easat-3415	226	3	the	the	DET
easat-3415	226	4	identification	identification	NOUN
easat-3415	226	5	of	of	ADP
easat-3415	226	6	various	various	ADJ
easat-3415	226	7	patterns	pattern	NOUN
easat-3415	226	8	and	and	CCONJ
easat-3415	226	9	data	datum	NOUN
easat-3415	226	10	segments	segment	NOUN
easat-3415	226	11	.	.	PUNCT
easat-3415	227	1	figure	figure	VERB
easat-3415	227	2	6	6	NUM
easat-3415	227	3	illustrates	illustrate	VERB
easat-3415	227	4	the	the	DET
easat-3415	227	5	distribution	distribution	NOUN
easat-3415	227	6	of	of	ADP
easat-3415	227	7	clusters	cluster	NOUN
easat-3415	227	8	based	base	VERB
easat-3415	227	9	on	on	ADP
easat-3415	227	10	the	the	DET
easat-3415	227	11	latitudes	latitude	NOUN
easat-3415	227	12	and	and	CCONJ
easat-3415	227	13	longitudes	longitude	NOUN
easat-3415	227	14	in	in	ADP
easat-3415	227	15	this	this	DET
easat-3415	227	16	research	research	NOUN
easat-3415	227	17	.	.	PUNCT
easat-3415	228	1	figure	figure	NOUN
easat-3415	228	2	6	6	NUM
easat-3415	228	3	.	.	PUNCT
easat-3415	228	4	signal	signal	NOUN
easat-3415	228	5	strength	strength	NOUN
easat-3415	228	6	clusters	cluster	NOUN
easat-3415	228	7	distribution	distribution	NOUN
easat-3415	228	8	.	.	PUNCT
easat-3415	229	1	to	to	PART
easat-3415	229	2	assess	assess	VERB
easat-3415	229	3	the	the	DET
easat-3415	229	4	effectiveness	effectiveness	NOUN
easat-3415	229	5	of	of	ADP
easat-3415	229	6	the	the	DET
easat-3415	229	7	cluster	cluster	NOUN
easat-3415	229	8	models	model	NOUN
easat-3415	229	9	,	,	PUNCT
easat-3415	229	10	various	various	ADJ
easat-3415	229	11	evaluation	evaluation	NOUN
easat-3415	229	12	metrics	metric	NOUN
easat-3415	229	13	are	be	AUX
easat-3415	229	14	employed	employ	VERB
easat-3415	229	15	,	,	PUNCT
easat-3415	229	16	including	include	VERB
easat-3415	229	17	the	the	DET
easat-3415	229	18	silhouette	silhouette	NOUN
easat-3415	229	19	score	score	NOUN
easat-3415	229	20	,	,	PUNCT
easat-3415	229	21	davies	davy	NOUN
easat-3415	229	22	-	-	PUNCT
easat-3415	229	23	bouldin	bouldin	NOUN
easat-3415	229	24	index	index	NOUN
easat-3415	229	25	,	,	PUNCT
easat-3415	229	26	and	and	CCONJ
easat-3415	229	27	calinski	calinski	NOUN
easat-3415	229	28	-	-	PUNCT
easat-3415	229	29	harabasz	harabasz	NOUN
easat-3415	229	30	index	index	NOUN
easat-3415	229	31	.	.	PUNCT
easat-3415	230	1	the	the	DET
easat-3415	230	2	silhouette	silhouette	NOUN
easat-3415	230	3	score	score	NOUN
easat-3415	230	4	quantifies	quantifie	NOUN
easat-3415	230	5	the	the	DET
easat-3415	230	6	similarity	similarity	NOUN
easat-3415	230	7	of	of	ADP
easat-3415	230	8	an	an	DET
easat-3415	230	9	object	object	NOUN
easat-3415	230	10	to	to	ADP
easat-3415	230	11	its	its	PRON
easat-3415	230	12	own	own	ADJ
easat-3415	230	13	cluster	cluster	NOUN
easat-3415	230	14	in	in	ADP
easat-3415	230	15	relation	relation	NOUN
easat-3415	230	16	to	to	ADP
easat-3415	230	17	other	other	ADJ
easat-3415	230	18	clusters	cluster	NOUN
easat-3415	230	19	.	.	PUNCT
easat-3415	231	1	a	a	DET
easat-3415	231	2	higher	high	ADJ
easat-3415	231	3	silhouette	silhouette	NOUN
easat-3415	231	4	score	score	NOUN
easat-3415	231	5	indicates	indicate	VERB
easat-3415	231	6	well	well	ADV
easat-3415	231	7	-	-	PUNCT
easat-3415	231	8	defined	define	VERB
easat-3415	231	9	clusters	cluster	NOUN
easat-3415	231	10	,	,	PUNCT
easat-3415	231	11	meaning	mean	VERB
easat-3415	231	12	that	that	SCONJ
easat-3415	231	13	the	the	DET
easat-3415	231	14	data	data	NOUN
easat-3415	231	15	points	point	NOUN
easat-3415	231	16	are	be	AUX
easat-3415	231	17	well	well	ADV
easat-3415	231	18	-	-	PUNCT
easat-3415	231	19	matched	match	VERB
easat-3415	231	20	within	within	ADP
easat-3415	231	21	their	their	PRON
easat-3415	231	22	assigned	assign	VERB
easat-3415	231	23	clusters	cluster	NOUN
easat-3415	231	24	and	and	CCONJ
easat-3415	231	25	are	be	AUX
easat-3415	231	26	clearly	clearly	ADV
easat-3415	231	27	distinct	distinct	ADJ
easat-3415	231	28	from	from	ADP
easat-3415	231	29	those	those	PRON
easat-3415	231	30	in	in	ADP
easat-3415	231	31	other	other	ADJ
easat-3415	231	32	clusters	cluster	NOUN
easat-3415	231	33	.	.	PUNCT
easat-3415	232	1	𝑠(𝑖	𝑠(𝑖	NUM
easat-3415	232	2	)	)	PUNCT
easat-3415	232	3	=	=	SYM
easat-3415	232	4	𝑏(𝑖	𝑏(𝑖	PROPN
easat-3415	232	5	)	)	PUNCT
easat-3415	232	6	−	−	PROPN
easat-3415	232	7	𝑎(𝑖	𝑎(𝑖	SYM
easat-3415	232	8	)	)	PUNCT
easat-3415	232	9	max	max	PROPN
easat-3415	232	10	{	{	PUNCT
easat-3415	232	11	𝑎(𝑖	𝑎(𝑖	PROPN
easat-3415	232	12	)	)	PUNCT
easat-3415	232	13	,	,	PUNCT
easat-3415	232	14	𝑏(𝑖	𝑏(𝑖	PROPN
easat-3415	232	15	)	)	PUNCT
easat-3415	232	16	}	}	PUNCT
easat-3415	232	17	(	(	PUNCT
easat-3415	232	18	21	21	NUM
easat-3415	232	19	)	)	PUNCT
easat-3415	232	20	the	the	DET
easat-3415	232	21	davies	davy	NOUN
easat-3415	232	22	-	-	PUNCT
easat-3415	232	23	bouldin	bouldin	NOUN
easat-3415	232	24	index	index	NOUN
easat-3415	232	25	metric	metric	NOUN
easat-3415	232	26	evaluates	evaluate	VERB
easat-3415	232	27	the	the	DET
easat-3415	232	28	quality	quality	NOUN
easat-3415	232	29	of	of	ADP
easat-3415	232	30	clustering	cluster	VERB
easat-3415	232	31	by	by	ADP
easat-3415	232	32	assessing	assess	VERB
easat-3415	232	33	the	the	DET
easat-3415	232	34	average	average	ADJ
easat-3415	232	35	ratio	ratio	NOUN
easat-3415	232	36	of	of	ADP
easat-3415	232	37	intra	intra	ADJ
easat-3415	232	38	-	-	ADJ
easat-3415	232	39	cluster	cluster	ADJ
easat-3415	232	40	distance	distance	NOUN
easat-3415	232	41	to	to	ADP
easat-3415	232	42	inter	inter	ADJ
easat-3415	232	43	-	-	ADJ
easat-3415	232	44	cluster	cluster	NOUN
easat-3415	232	45	separation	separation	NOUN
easat-3415	232	46	.	.	PUNCT
easat-3415	233	1	equation	equation	NOUN
easat-3415	233	2	(	(	PUNCT
easat-3415	233	3	18	18	NUM
easat-3415	233	4	)	)	PUNCT
easat-3415	233	5	shows	show	VERB
easat-3415	233	6	how	how	SCONJ
easat-3415	233	7	to	to	PART
easat-3415	233	8	calculate	calculate	VERB
easat-3415	233	9	it	it	PRON
easat-3415	233	10	.	.	PUNCT
easat-3415	234	1	𝐷𝐵	𝐷𝐵	X
easat-3415	235	1	=	=	SYM
easat-3415	236	1	1	1	NUM
easat-3415	236	2	𝑛	𝑛	PRON
easat-3415	236	3	∑	∑	PROPN
easat-3415	236	4	max	max	PROPN
easat-3415	236	5	𝑖≠𝑗	𝑖≠𝑗	PUNCT
easat-3415	236	6	(	(	PUNCT
easat-3415	236	7	𝑠𝑖	𝑠𝑖	NOUN
easat-3415	236	8	+	+	CCONJ
easat-3415	236	9	𝑠𝑗	𝑠𝑗	INTJ
easat-3415	236	10	𝑑𝑖𝑗	𝑑𝑖𝑗	INTJ
easat-3415	236	11	)	)	PUNCT
easat-3415	237	1	𝑛	𝑛	PRON
easat-3415	237	2	𝑖=1	𝑖=1	PROPN
easat-3415	237	3	(	(	PUNCT
easat-3415	237	4	22	22	NUM
easat-3415	237	5	)	)	PUNCT
easat-3415	237	6	lower	low	ADJ
easat-3415	237	7	values	value	NOUN
easat-3415	237	8	indicate	indicate	VERB
easat-3415	237	9	better	well	ADJ
easat-3415	237	10	clustering	clustering	ADJ
easat-3415	237	11	performance	performance	NOUN
easat-3415	237	12	.	.	PUNCT
easat-3415	238	1	the	the	DET
easat-3415	238	2	calinski	calinski	NOUN
easat-3415	238	3	-	-	PUNCT
easat-3415	238	4	harabasx	harabasx	NOUN
easat-3415	238	5	indicator	indicator	NOUN
easat-3415	238	6	is	be	AUX
easat-3415	238	7	employed	employ	VERB
easat-3415	238	8	to	to	PART
easat-3415	238	9	assess	assess	VERB
easat-3415	238	10	the	the	DET
easat-3415	238	11	clustering	cluster	VERB
easat-3415	238	12	algorithms	algorithm	NOUN
easat-3415	238	13	,	,	PUNCT
easat-3415	238	14	particularly	particularly	ADV
easat-3415	238	15	when	when	SCONJ
easat-3415	238	16	the	the	DET
easat-3415	238	17	goal	goal	NOUN
easat-3415	238	18	is	be	AUX
easat-3415	238	19	to	to	PART
easat-3415	238	20	maximize	maximize	VERB
easat-3415	238	21	the	the	DET
easat-3415	238	22	separation	separation	NOUN
easat-3415	238	23	between	between	ADP
easat-3415	238	24	clusters	cluster	NOUN
easat-3415	238	25	while	while	SCONJ
easat-3415	238	26	minimizing	minimize	VERB
easat-3415	238	27	the	the	DET
easat-3415	238	28	spread	spread	NOUN
easat-3415	238	29	within	within	ADP
easat-3415	238	30	clusters	cluster	NOUN
easat-3415	238	31	.	.	PUNCT
easat-3415	239	1	this	this	PRON
easat-3415	239	2	is	be	AUX
easat-3415	239	3	particularly	particularly	ADV
easat-3415	239	4	useful	useful	ADJ
easat-3415	239	5	when	when	SCONJ
easat-3415	239	6	comparing	compare	VERB
easat-3415	239	7	the	the	DET
easat-3415	239	8	performance	performance	NOUN
easat-3415	239	9	of	of	ADP
easat-3415	239	10	different	different	ADJ
easat-3415	239	11	clustering	clustering	ADJ
easat-3415	239	12	algorithms	algorithm	NOUN
easat-3415	239	13	or	or	CCONJ
easat-3415	239	14	the	the	DET
easat-3415	239	15	same	same	ADJ
easat-3415	239	16	algorithm	algorithm	NOUN
easat-3415	239	17	with	with	ADP
easat-3415	239	18	different	different	ADJ
easat-3415	239	19	numbers	number	NOUN
easat-3415	239	20	of	of	ADP
easat-3415	239	21	clusters	cluster	NOUN
easat-3415	239	22	.	.	PUNCT
easat-3415	240	1	a	a	DET
easat-3415	240	2	higher	high	ADJ
easat-3415	240	3	value	value	NOUN
easat-3415	240	4	implies	imply	VERB
easat-3415	240	5	that	that	SCONJ
easat-3415	240	6	the	the	DET
easat-3415	240	7	clusters	cluster	NOUN
easat-3415	240	8	are	be	AUX
easat-3415	240	9	well	well	ADV
easat-3415	240	10	-	-	PUNCT
easat-3415	240	11	separated	separate	VERB
easat-3415	240	12	and	and	CCONJ
easat-3415	240	13	compact	compact	ADJ
easat-3415	240	14	,	,	PUNCT
easat-3415	240	15	indicating	indicate	VERB
easat-3415	240	16	that	that	SCONJ
easat-3415	240	17	the	the	DET
easat-3415	240	18	clustering	clustering	ADJ
easat-3415	240	19	solution	solution	NOUN
easat-3415	240	20	is	be	AUX
easat-3415	240	21	effective	effective	ADJ
easat-3415	240	22	,	,	PUNCT
easat-3415	240	23	and	and	CCONJ
easat-3415	240	24	lower	low	ADJ
easat-3415	240	25	values	value	NOUN
easat-3415	240	26	indicate	indicate	VERB
easat-3415	240	27	that	that	SCONJ
easat-3415	240	28	the	the	DET
easat-3415	240	29	clusters	cluster	NOUN
easat-3415	240	30	may	may	AUX
easat-3415	240	31	overlap	overlap	VERB
easat-3415	240	32	significantly	significantly	ADV
easat-3415	240	33	or	or	CCONJ
easat-3415	240	34	that	that	SCONJ
easat-3415	240	35	the	the	DET
easat-3415	240	36	data	data	NOUN
easat-3415	240	37	points	point	VERB
easat-3415	240	38	within	within	ADP
easat-3415	240	39	clusters	cluster	NOUN
easat-3415	240	40	are	be	AUX
easat-3415	240	41	not	not	PART
easat-3415	240	42	well	well	ADV
easat-3415	240	43	-	-	PUNCT
easat-3415	240	44	grouped	group	VERB
easat-3415	240	45	,	,	PUNCT
easat-3415	240	46	indicating	indicate	VERB
easat-3415	240	47	a	a	DET
easat-3415	240	48	less	less	ADV
easat-3415	240	49	effective	effective	ADJ
easat-3415	240	50	clustering	clustering	ADJ
easat-3415	240	51	solution	solution	NOUN
easat-3415	240	52	.	.	PUNCT
easat-3415	241	1	table	table	NOUN
easat-3415	241	2	ix	ix	ADP
easat-3415	241	3	contrasted	contrast	VERB
easat-3415	241	4	the	the	DET
easat-3415	241	5	most	most	ADV
easat-3415	241	6	used	used	ADJ
easat-3415	241	7	clustering	clustering	NOUN
easat-3415	241	8	models	model	NOUN
easat-3415	241	9	across	across	ADP
easat-3415	241	10	all	all	DET
easat-3415	241	11	networks	network	NOUN
easat-3415	241	12	,	,	PUNCT
easat-3415	241	13	and	and	CCONJ
easat-3415	241	14	the	the	DET
easat-3415	241	15	result	result	NOUN
easat-3415	241	16	shows	show	VERB
easat-3415	241	17	that	that	SCONJ
easat-3415	241	18	dbscan	dbscan	PROPN
easat-3415	241	19	outperforms	outperform	VERB
easat-3415	241	20	the	the	DET
easat-3415	241	21	other	other	ADJ
easat-3415	241	22	models	model	NOUN
easat-3415	241	23	in	in	ADP
easat-3415	241	24	terms	term	NOUN
easat-3415	241	25	of	of	ADP
easat-3415	241	26	silhouette	silhouette	NOUN
easat-3415	241	27	score	score	NOUN
easat-3415	241	28	across	across	ADP
easat-3415	241	29	all	all	DET
easat-3415	241	30	network	network	NOUN
easat-3415	241	31	types	type	NOUN
easat-3415	241	32	(	(	PUNCT
easat-3415	241	33	3	3	NUM
easat-3415	241	34	g	g	NOUN
easat-3415	241	35	,	,	PUNCT
easat-3415	241	36	4	4	NUM
easat-3415	241	37	g	g	NOUN
easat-3415	241	38	,	,	PUNCT
easat-3415	241	39	5	5	NUM
easat-3415	241	40	g	g	NOUN
easat-3415	241	41	,	,	PUNCT
easat-3415	241	42	and	and	CCONJ
easat-3415	241	43	lte	lte	PROPN
easat-3415	241	44	)	)	PUNCT
easat-3415	241	45	,	,	PUNCT
easat-3415	241	46	indicating	indicate	VERB
easat-3415	241	47	it	it	PRON
easat-3415	241	48	creates	create	VERB
easat-3415	241	49	more	more	ADV
easat-3415	241	50	distinct	distinct	ADJ
easat-3415	241	51	and	and	CCONJ
easat-3415	241	52	well	well	ADV
easat-3415	241	53	-	-	PUNCT
easat-3415	241	54	separated	separate	VERB
easat-3415	241	55	clusters	cluster	NOUN
easat-3415	241	56	.	.	PUNCT
easat-3415	242	1	6640	6640	NUM
easat-3415	242	2	edelweiss	edelweiss	PROPN
easat-3415	242	3	applied	apply	VERB
easat-3415	242	4	science	science	NOUN
easat-3415	242	5	and	and	CCONJ
easat-3415	242	6	technology	technology	NOUN
easat-3415	242	7	issn	issn	PROPN
easat-3415	242	8	:	:	PUNCT
easat-3415	242	9	2576	2576	NUM
easat-3415	242	10	-	-	SYM
easat-3415	242	11	8484	8484	NUM
easat-3415	242	12	vol	vol	NOUN
easat-3415	242	13	.	.	PROPN
easat-3415	242	14	8	8	NUM
easat-3415	242	15	,	,	PUNCT
easat-3415	242	16	no	no	INTJ
easat-3415	242	17	.	.	NOUN
easat-3415	243	1	6	6	NUM
easat-3415	243	2	:	:	SYM
easat-3415	243	3	6625	6625	NUM
easat-3415	243	4	-	-	SYM
easat-3415	243	5	6643	6643	NUM
easat-3415	243	6	,	,	PUNCT
easat-3415	243	7	2024	2024	NUM
easat-3415	243	8	doi	doi	NOUN
easat-3415	243	9	:	:	PUNCT
easat-3415	243	10	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	243	11	©	©	PROPN
easat-3415	243	12	2024	2024	NUM
easat-3415	243	13	by	by	ADP
easat-3415	243	14	the	the	DET
easat-3415	243	15	author	author	NOUN
easat-3415	243	16	;	;	PUNCT
easat-3415	243	17	licensee	licensee	PROPN
easat-3415	243	18	learning	learn	VERB
easat-3415	243	19	gate	gate	NOUN
easat-3415	243	20	table	table	NOUN
easat-3415	243	21	9	9	NUM
easat-3415	243	22	.	.	PUNCT
easat-3415	243	23	silhouette	silhouette	NOUN
easat-3415	243	24	score	score	NOUN
easat-3415	243	25	index	index	PROPN
easat-3415	243	26	.	.	PUNCT
easat-3415	244	1	model	model	NOUN
easat-3415	244	2	3	3	NUM
easat-3415	244	3	g	g	PROPN
easat-3415	244	4	4	4	NUM
easat-3415	244	5	g	g	NOUN
easat-3415	244	6	5	5	NUM
easat-3415	244	7	g	g	PROPN
easat-3415	244	8	lte	lte	PROPN
easat-3415	244	9	k	k	PROPN
easat-3415	244	10	-	-	PUNCT
easat-3415	244	11	means	mean	VERB
easat-3415	244	12	0.3599	0.3599	NUM
easat-3415	244	13	0.3644	0.3644	NUM
easat-3415	244	14	0.3600	0.3600	NUM
easat-3415	244	15	0.3585	0.3585	NUM
easat-3415	244	16	dbscan	dbscan	NOUN
easat-3415	244	17	0.4960	0.4960	NUM
easat-3415	244	18	0.5128	0.5128	NUM
easat-3415	244	19	0.5304	0.5304	NUM
easat-3415	244	20	0.5080	0.5080	NUM
easat-3415	244	21	agglomerative	agglomerative	ADJ
easat-3415	244	22	0.2855	0.2855	NUM
easat-3415	244	23	0.3025	0.3025	NUM
easat-3415	244	24	0.3068	0.3068	NUM
easat-3415	244	25	0.3088	0.3088	NUM
easat-3415	244	26	the	the	DET
easat-3415	244	27	increasing	increase	VERB
easat-3415	244	28	scores	score	NOUN
easat-3415	244	29	from	from	ADP
easat-3415	244	30	3	3	NUM
easat-3415	244	31	g	g	NOUN
easat-3415	244	32	to	to	ADP
easat-3415	244	33	5	5	NUM
easat-3415	244	34	g	g	NOUN
easat-3415	244	35	suggest	suggest	VERB
easat-3415	244	36	that	that	SCONJ
easat-3415	244	37	dbscan	dbscan	NOUN
easat-3415	244	38	may	may	AUX
easat-3415	244	39	be	be	AUX
easat-3415	244	40	particularly	particularly	ADV
easat-3415	244	41	well	well	ADV
easat-3415	244	42	-	-	PUNCT
easat-3415	244	43	suited	suit	VERB
easat-3415	244	44	for	for	ADP
easat-3415	244	45	clustering	clustering	ADJ
easat-3415	244	46	data	datum	NOUN
easat-3415	244	47	as	as	ADP
easat-3415	244	48	network	network	NOUN
easat-3415	244	49	technology	technology	NOUN
easat-3415	244	50	advances	advance	NOUN
easat-3415	244	51	.	.	PUNCT
easat-3415	245	1	therefore	therefore	ADV
easat-3415	245	2	,	,	PUNCT
easat-3415	245	3	in	in	ADP
easat-3415	245	4	this	this	DET
easat-3415	245	5	study	study	NOUN
easat-3415	245	6	,	,	PUNCT
easat-3415	245	7	to	to	PART
easat-3415	245	8	address	address	VERB
easat-3415	245	9	the	the	DET
easat-3415	245	10	temporal	temporal	ADJ
easat-3415	245	11	and	and	CCONJ
easat-3415	245	12	spatial	spatial	ADJ
easat-3415	245	13	dynamics	dynamic	NOUN
easat-3415	245	14	inherent	inherent	ADJ
easat-3415	245	15	in	in	ADP
easat-3415	245	16	modern	modern	ADJ
easat-3415	245	17	mobile	mobile	ADJ
easat-3415	245	18	networks	network	NOUN
easat-3415	245	19	,	,	PUNCT
easat-3415	245	20	particularly	particularly	ADV
easat-3415	245	21	in	in	ADP
easat-3415	245	22	5	5	NUM
easat-3415	245	23	g	g	NOUN
easat-3415	245	24	networks	network	NOUN
easat-3415	245	25	,	,	PUNCT
easat-3415	245	26	we	we	PRON
easat-3415	245	27	used	use	VERB
easat-3415	245	28	the	the	DET
easat-3415	245	29	dbscan	dbscan	NOUN
easat-3415	245	30	clustering	cluster	VERB
easat-3415	245	31	model	model	NOUN
easat-3415	245	32	to	to	PART
easat-3415	245	33	construct	construct	VERB
easat-3415	245	34	the	the	DET
easat-3415	245	35	hybrid	hybrid	ADJ
easat-3415	245	36	model	model	NOUN
easat-3415	245	37	.	.	PUNCT
easat-3415	246	1	4.3.2	4.3.2	X
easat-3415	246	2	.	.	PUNCT
easat-3415	247	1	the	the	DET
easat-3415	247	2	clustered	clustered	ADJ
easat-3415	247	3	temporal	temporal	ADJ
easat-3415	247	4	memory	memory	NOUN
easat-3415	247	5	networks	network	NOUN
easat-3415	247	6	(	(	PUNCT
easat-3415	247	7	ctmn	ctmn	NOUN
easat-3415	247	8	)	)	PUNCT
easat-3415	247	9	by	by	ADP
easat-3415	247	10	applying	apply	VERB
easat-3415	247	11	a	a	DET
easat-3415	247	12	powerful	powerful	ADJ
easat-3415	247	13	time	time	NOUN
easat-3415	247	14	series	series	NOUN
easat-3415	247	15	to	to	ADP
easat-3415	247	16	each	each	DET
easat-3415	247	17	cluster	cluster	NOUN
easat-3415	247	18	,	,	PUNCT
easat-3415	247	19	the	the	DET
easat-3415	247	20	model	model	NOUN
easat-3415	247	21	can	can	AUX
easat-3415	247	22	make	make	VERB
easat-3415	247	23	accurate	accurate	ADJ
easat-3415	247	24	predictions	prediction	NOUN
easat-3415	247	25	based	base	VERB
easat-3415	247	26	on	on	ADP
easat-3415	247	27	the	the	DET
easat-3415	247	28	specific	specific	ADJ
easat-3415	247	29	characteristics	characteristic	NOUN
easat-3415	247	30	of	of	ADP
easat-3415	247	31	each	each	DET
easat-3415	247	32	cluster	cluster	NOUN
easat-3415	247	33	.	.	PUNCT
easat-3415	248	1	this	this	DET
easat-3415	248	2	research	research	NOUN
easat-3415	248	3	hybrid	hybrid	NOUN
easat-3415	248	4	method	method	NOUN
easat-3415	248	5	,	,	PUNCT
easat-3415	248	6	ctmn	ctmn	NOUN
easat-3415	248	7	,	,	PUNCT
easat-3415	248	8	combines	combine	VERB
easat-3415	248	9	the	the	DET
easat-3415	248	10	benefits	benefit	NOUN
easat-3415	248	11	of	of	ADP
easat-3415	248	12	unsupervised	unsupervised	ADJ
easat-3415	248	13	learning	learning	NOUN
easat-3415	248	14	,	,	PUNCT
easat-3415	248	15	through	through	ADP
easat-3415	248	16	dbscan	dbscan	NOUN
easat-3415	248	17	clustering	cluster	VERB
easat-3415	248	18	,	,	PUNCT
easat-3415	248	19	and	and	CCONJ
easat-3415	248	20	supervised	supervised	ADJ
easat-3415	248	21	learning	learning	NOUN
easat-3415	248	22	,	,	PUNCT
easat-3415	248	23	via	via	ADP
easat-3415	248	24	lstm	lstm	ADJ
easat-3415	248	25	networks	network	NOUN
easat-3415	248	26	,	,	PUNCT
easat-3415	248	27	to	to	PART
easat-3415	248	28	produce	produce	VERB
easat-3415	248	29	more	more	ADV
easat-3415	248	30	accurate	accurate	ADJ
easat-3415	248	31	and	and	CCONJ
easat-3415	248	32	insightful	insightful	ADJ
easat-3415	248	33	predictions	prediction	NOUN
easat-3415	248	34	.	.	PUNCT
easat-3415	249	1	the	the	DET
easat-3415	249	2	process	process	NOUN
easat-3415	249	3	began	begin	VERB
easat-3415	249	4	with	with	ADP
easat-3415	249	5	clustering	clustering	NOUN
easat-3415	249	6	.	.	PUNCT
easat-3415	250	1	once	once	ADV
easat-3415	250	2	clustering	clustering	NOUN
easat-3415	250	3	has	have	AUX
easat-3415	250	4	grouped	group	VERB
easat-3415	250	5	the	the	DET
easat-3415	250	6	data	datum	NOUN
easat-3415	250	7	into	into	ADP
easat-3415	250	8	these	these	DET
easat-3415	250	9	segments	segment	NOUN
easat-3415	250	10	,	,	PUNCT
easat-3415	250	11	each	each	DET
easat-3415	250	12	cluster	cluster	NOUN
easat-3415	250	13	can	can	AUX
easat-3415	250	14	be	be	AUX
easat-3415	250	15	considered	consider	VERB
easat-3415	250	16	a	a	DET
easat-3415	250	17	more	more	ADV
easat-3415	250	18	homogeneous	homogeneous	ADJ
easat-3415	250	19	subset	subset	NOUN
easat-3415	250	20	of	of	ADP
easat-3415	250	21	the	the	DET
easat-3415	250	22	overall	overall	ADJ
easat-3415	250	23	dataset	dataset	NOUN
easat-3415	250	24	.	.	PUNCT
easat-3415	251	1	for	for	ADP
easat-3415	251	2	each	each	DET
easat-3415	251	3	cluster	cluster	NOUN
easat-3415	251	4	,	,	PUNCT
easat-3415	251	5	an	an	DET
easat-3415	251	6	lstm	lstm	NOUN
easat-3415	251	7	model	model	NOUN
easat-3415	251	8	was	be	AUX
easat-3415	251	9	trained	train	VERB
easat-3415	251	10	.	.	PUNCT
easat-3415	252	1	by	by	ADP
easat-3415	252	2	training	train	VERB
easat-3415	252	3	separate	separate	ADJ
easat-3415	252	4	lstm	lstm	NOUN
easat-3415	252	5	models	model	NOUN
easat-3415	252	6	for	for	ADP
easat-3415	252	7	each	each	DET
easat-3415	252	8	cluster	cluster	NOUN
easat-3415	252	9	,	,	PUNCT
easat-3415	252	10	the	the	DET
easat-3415	252	11	model	model	NOUN
easat-3415	252	12	learns	learn	VERB
easat-3415	252	13	the	the	DET
easat-3415	252	14	unique	unique	ADJ
easat-3415	252	15	historical	historical	ADJ
easat-3415	252	16	patterns	pattern	NOUN
easat-3415	252	17	that	that	PRON
easat-3415	252	18	characterize	characterize	VERB
easat-3415	252	19	energy	energy	NOUN
easat-3415	252	20	consumption	consumption	NOUN
easat-3415	252	21	within	within	ADP
easat-3415	252	22	that	that	DET
easat-3415	252	23	cluster	cluster	NOUN
easat-3415	252	24	.	.	PUNCT
easat-3415	253	1	the	the	DET
easat-3415	253	2	output	output	NOUN
easat-3415	253	3	shown	show	VERB
easat-3415	253	4	in	in	ADP
easat-3415	253	5	table	table	NOUN
easat-3415	253	6	x	x	NOUN
easat-3415	253	7	consists	consist	VERB
easat-3415	253	8	of	of	ADP
easat-3415	253	9	lte	lte	PROPN
easat-3415	253	10	performance	performance	NOUN
easat-3415	253	11	metrics	metric	NOUN
easat-3415	253	12	for	for	ADP
easat-3415	253	13	lstm	lstm	NOUN
easat-3415	253	14	,	,	PUNCT
easat-3415	253	15	and	and	CCONJ
easat-3415	253	16	ctmn	ctmn	NOUN
easat-3415	253	17	in	in	ADP
easat-3415	253	18	its	its	PRON
easat-3415	253	19	various	various	ADJ
easat-3415	253	20	clusters	cluster	NOUN
easat-3415	253	21	.	.	PUNCT
easat-3415	254	1	table	table	NOUN
easat-3415	254	2	10	10	NUM
easat-3415	254	3	.	.	PUNCT
easat-3415	255	1	ctmn	ctmn	NOUN
easat-3415	255	2	clusters	cluster	NOUN
easat-3415	255	3	vs.	vs.	ADP
easat-3415	255	4	lstm	lstm	PROPN
easat-3415	255	5	.	.	PUNCT
easat-3415	256	1	model	model	PROPN
easat-3415	256	2	mae	mae	PROPN
easat-3415	256	3	mse	mse	PROPN
easat-3415	256	4	rmse	rmse	PROPN
easat-3415	256	5	r2	r2	PROPN
easat-3415	256	6	ctmn_0	ctmn_0	PROPN
easat-3415	256	7	3.08798	3.08798	NUM
easat-3415	256	8	13.97205	13.97205	NUM
easat-3415	256	9	3.73792	3.73792	NUM
easat-3415	256	10	-0.16728	-0.16728	NOUN
easat-3415	256	11	ctmn_1	ctmn_1	NOUN
easat-3415	256	12	2.69463	2.69463	NUM
easat-3415	256	13	10.71239	10.71239	NUM
easat-3415	256	14	3.27298	3.27298	NUM
easat-3415	256	15	-0.03094	-0.03094	NOUN
easat-3415	257	1	ctmn_3	ctmn_3	PROPN
easat-3415	257	2	3.08843	3.08843	NUM
easat-3415	257	3	14.43108	14.43108	NUM
easat-3415	257	4	3.79882	3.79882	NUM
easat-3415	257	5	-0.06563	-0.06563	NOUN
easat-3415	257	6	ctmn_5	ctmn_5	NOUN
easat-3415	257	7	2.60127	2.60127	NUM
easat-3415	257	8	10.40344	10.40344	NUM
easat-3415	257	9	3.22544	3.22544	NUM
easat-3415	257	10	-0.00596	-0.00596	NOUN
easat-3415	257	11	lstm	lstm	VERB
easat-3415	257	12	3.11807	3.11807	NUM
easat-3415	257	13	15.65761	15.65761	NUM
easat-3415	257	14	3.95697	3.95697	NUM
easat-3415	257	15	-0.01598	-0.01598	NOUN
easat-3415	258	1	this	this	PRON
easat-3415	258	2	is	be	AUX
easat-3415	258	3	further	far	ADV
easat-3415	258	4	visualized	visualize	VERB
easat-3415	258	5	in	in	ADP
easat-3415	258	6	the	the	DET
easat-3415	258	7	chart	chart	NOUN
easat-3415	258	8	in	in	ADP
easat-3415	258	9	figure	figure	NOUN
easat-3415	258	10	7	7	NUM
easat-3415	258	11	,	,	PUNCT
easat-3415	258	12	which	which	PRON
easat-3415	258	13	offers	offer	VERB
easat-3415	258	14	a	a	DET
easat-3415	258	15	clearer	clear	ADJ
easat-3415	258	16	understanding	understanding	NOUN
easat-3415	258	17	of	of	ADP
easat-3415	258	18	the	the	DET
easat-3415	258	19	reader	reader	NOUN
easat-3415	258	20	.	.	PUNCT
easat-3415	259	1	6641	6641	NUM
easat-3415	259	2	edelweiss	edelweiss	PROPN
easat-3415	259	3	applied	apply	VERB
easat-3415	259	4	science	science	NOUN
easat-3415	259	5	and	and	CCONJ
easat-3415	259	6	technology	technology	NOUN
easat-3415	259	7	issn	issn	PROPN
easat-3415	259	8	:	:	PUNCT
easat-3415	259	9	2576	2576	NUM
easat-3415	259	10	-	-	SYM
easat-3415	259	11	8484	8484	NUM
easat-3415	259	12	vol	vol	NOUN
easat-3415	259	13	.	.	PROPN
easat-3415	259	14	8	8	NUM
easat-3415	259	15	,	,	PUNCT
easat-3415	259	16	no	no	INTJ
easat-3415	259	17	.	.	NOUN
easat-3415	260	1	6	6	NUM
easat-3415	260	2	:	:	SYM
easat-3415	260	3	6625	6625	NUM
easat-3415	260	4	-	-	SYM
easat-3415	260	5	6643	6643	NUM
easat-3415	260	6	,	,	PUNCT
easat-3415	260	7	2024	2024	NUM
easat-3415	260	8	doi	doi	NOUN
easat-3415	260	9	:	:	PUNCT
easat-3415	260	10	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	260	11	©	©	PROPN
easat-3415	260	12	2024	2024	NUM
easat-3415	260	13	by	by	ADP
easat-3415	260	14	the	the	DET
easat-3415	260	15	author	author	NOUN
easat-3415	260	16	;	;	PUNCT
easat-3415	260	17	licensee	licensee	PROPN
easat-3415	260	18	learning	learn	VERB
easat-3415	260	19	gate	gate	NOUN
easat-3415	260	20	figure	figure	NOUN
easat-3415	260	21	7	7	NUM
easat-3415	260	22	.	.	PUNCT
easat-3415	260	23	comparison	comparison	NOUN
easat-3415	260	24	of	of	ADP
easat-3415	260	25	lstm	lstm	NOUN
easat-3415	260	26	and	and	CCONJ
easat-3415	260	27	ctmn	ctmn	NOUN
easat-3415	260	28	clusters	cluster	NOUN
easat-3415	260	29	.	.	PUNCT
easat-3415	261	1	the	the	DET
easat-3415	261	2	chart	chart	NOUN
easat-3415	261	3	visually	visually	ADV
easat-3415	261	4	demonstrates	demonstrate	VERB
easat-3415	261	5	that	that	SCONJ
easat-3415	261	6	the	the	DET
easat-3415	261	7	ctmn	ctmn	NOUN
easat-3415	261	8	clusters	cluster	NOUN
easat-3415	261	9	,	,	PUNCT
easat-3415	261	10	particularly	particularly	ADV
easat-3415	261	11	ctmn_1	ctmn_1	NOUN
easat-3415	261	12	and	and	CCONJ
easat-3415	261	13	ctmn_5	ctmn_5	NOUN
easat-3415	261	14	,	,	PUNCT
easat-3415	261	15	outperform	outperform	VERB
easat-3415	261	16	the	the	DET
easat-3415	261	17	lstm	lstm	PROPN
easat-3415	261	18	model	model	NOUN
easat-3415	261	19	across	across	ADP
easat-3415	261	20	these	these	DET
easat-3415	261	21	metrics	metric	NOUN
easat-3415	261	22	,	,	PUNCT
easat-3415	261	23	highlighting	highlight	VERB
easat-3415	261	24	the	the	DET
easat-3415	261	25	significant	significant	ADJ
easat-3415	261	26	improvements	improvement	NOUN
easat-3415	261	27	achieved	achieve	VERB
easat-3415	261	28	by	by	ADP
easat-3415	261	29	the	the	DET
easat-3415	261	30	ctmn	ctmn	NOUN
easat-3415	261	31	model	model	NOUN
easat-3415	261	32	.	.	PUNCT
easat-3415	262	1	5	5	X
easat-3415	262	2	.	.	X
easat-3415	262	3	conclusion	conclusion	NOUN
easat-3415	262	4	in	in	ADP
easat-3415	262	5	conclusion	conclusion	NOUN
easat-3415	262	6	,	,	PUNCT
easat-3415	262	7	this	this	DET
easat-3415	262	8	study	study	NOUN
easat-3415	262	9	effectively	effectively	ADV
easat-3415	262	10	addressed	address	VERB
easat-3415	262	11	the	the	DET
easat-3415	262	12	prediction	prediction	NOUN
easat-3415	262	13	shortcomings	shortcoming	NOUN
easat-3415	262	14	of	of	ADP
easat-3415	262	15	traditional	traditional	ADJ
easat-3415	262	16	models	model	NOUN
easat-3415	262	17	by	by	ADP
easat-3415	262	18	integrating	integrate	VERB
easat-3415	262	19	clustering	cluster	VERB
easat-3415	262	20	with	with	ADP
easat-3415	262	21	time	time	NOUN
easat-3415	262	22	-	-	PUNCT
easat-3415	262	23	series	series	NOUN
easat-3415	262	24	analysis	analysis	NOUN
easat-3415	262	25	.	.	PUNCT
easat-3415	263	1	by	by	ADP
easat-3415	263	2	combining	combine	VERB
easat-3415	263	3	dbscan	dbscan	NOUN
easat-3415	263	4	's	's	PART
easat-3415	263	5	ability	ability	NOUN
easat-3415	263	6	to	to	PART
easat-3415	263	7	manage	manage	VERB
easat-3415	263	8	spatial	spatial	ADJ
easat-3415	263	9	variability	variability	NOUN
easat-3415	263	10	and	and	CCONJ
easat-3415	263	11	outliers	outlier	NOUN
easat-3415	263	12	in	in	ADP
easat-3415	263	13	5	5	NUM
easat-3415	263	14	g	g	NOUN
easat-3415	263	15	data	datum	NOUN
easat-3415	263	16	with	with	ADP
easat-3415	263	17	lstm	lstm	PROPN
easat-3415	263	18	's	's	PART
easat-3415	263	19	strength	strength	NOUN
easat-3415	263	20	in	in	ADP
easat-3415	263	21	capturing	capture	VERB
easat-3415	263	22	long	long	ADJ
easat-3415	263	23	-	-	PUNCT
easat-3415	263	24	term	term	NOUN
easat-3415	263	25	dependencies	dependency	NOUN
easat-3415	263	26	and	and	CCONJ
easat-3415	263	27	nonlinear	nonlinear	ADJ
easat-3415	263	28	time	time	NOUN
easat-3415	263	29	-	-	PUNCT
easat-3415	263	30	series	series	NOUN
easat-3415	263	31	patterns	pattern	NOUN
easat-3415	263	32	,	,	PUNCT
easat-3415	263	33	the	the	DET
easat-3415	263	34	hybrid	hybrid	NOUN
easat-3415	263	35	model	model	NOUN
easat-3415	263	36	significantly	significantly	ADV
easat-3415	263	37	improved	improve	VERB
easat-3415	263	38	prediction	prediction	NOUN
easat-3415	263	39	accuracy	accuracy	NOUN
easat-3415	263	40	compared	compare	VERB
easat-3415	263	41	to	to	ADP
easat-3415	263	42	conventional	conventional	ADJ
easat-3415	263	43	methods	method	NOUN
easat-3415	263	44	,	,	PUNCT
easat-3415	263	45	offering	offer	VERB
easat-3415	263	46	a	a	DET
easat-3415	263	47	scalable	scalable	ADJ
easat-3415	263	48	solution	solution	NOUN
easat-3415	263	49	for	for	ADP
easat-3415	263	50	next	next	ADJ
easat-3415	263	51	-	-	PUNCT
easat-3415	263	52	generation	generation	NOUN
easat-3415	263	53	mobile	mobile	ADJ
easat-3415	263	54	networks	network	NOUN
easat-3415	263	55	.	.	PUNCT
easat-3415	264	1	the	the	DET
easat-3415	264	2	methodology	methodology	NOUN
easat-3415	264	3	can	can	AUX
easat-3415	264	4	also	also	ADV
easat-3415	264	5	be	be	AUX
easat-3415	264	6	applied	apply	VERB
easat-3415	264	7	to	to	ADP
easat-3415	264	8	other	other	ADJ
easat-3415	264	9	areas	area	NOUN
easat-3415	264	10	dealing	deal	VERB
easat-3415	264	11	with	with	ADP
easat-3415	264	12	heterogeneous	heterogeneous	ADJ
easat-3415	264	13	data	datum	NOUN
easat-3415	264	14	,	,	PUNCT
easat-3415	264	15	such	such	ADJ
easat-3415	264	16	as	as	ADP
easat-3415	264	17	energy	energy	NOUN
easat-3415	264	18	consumption	consumption	NOUN
easat-3415	264	19	forecasting	forecasting	NOUN
easat-3415	264	20	,	,	PUNCT
easat-3415	264	21	financial	financial	ADJ
easat-3415	264	22	market	market	NOUN
easat-3415	264	23	analysis	analysis	NOUN
easat-3415	264	24	,	,	PUNCT
easat-3415	264	25	and	and	CCONJ
easat-3415	264	26	customer	customer	NOUN
easat-3415	264	27	behaviour	behaviour	NOUN
easat-3415	264	28	prediction	prediction	NOUN
easat-3415	264	29	.	.	PUNCT
easat-3415	265	1	however	however	ADV
easat-3415	265	2	,	,	PUNCT
easat-3415	265	3	while	while	SCONJ
easat-3415	265	4	this	this	DET
easat-3415	265	5	approach	approach	NOUN
easat-3415	265	6	has	have	VERB
easat-3415	265	7	clear	clear	ADJ
easat-3415	265	8	advantages	advantage	NOUN
easat-3415	265	9	,	,	PUNCT
easat-3415	265	10	it	it	PRON
easat-3415	265	11	also	also	ADV
easat-3415	265	12	introduces	introduce	VERB
easat-3415	265	13	challenges	challenge	NOUN
easat-3415	265	14	.	.	PUNCT
easat-3415	266	1	the	the	DET
easat-3415	266	2	quality	quality	NOUN
easat-3415	266	3	of	of	ADP
easat-3415	266	4	the	the	DET
easat-3415	266	5	clustering	clustering	ADJ
easat-3415	266	6	process	process	NOUN
easat-3415	266	7	is	be	AUX
easat-3415	266	8	crucial	crucial	ADJ
easat-3415	266	9	,	,	PUNCT
easat-3415	266	10	as	as	SCONJ
easat-3415	266	11	poor	poor	ADJ
easat-3415	266	12	clustering	clustering	NOUN
easat-3415	266	13	can	can	AUX
easat-3415	266	14	hinder	hinder	VERB
easat-3415	266	15	lstm	lstm	ADJ
easat-3415	266	16	performance	performance	NOUN
easat-3415	266	17	.	.	PUNCT
easat-3415	267	1	additionally	additionally	ADV
easat-3415	267	2	,	,	PUNCT
easat-3415	267	3	the	the	DET
easat-3415	267	4	complexity	complexity	NOUN
easat-3415	267	5	of	of	ADP
easat-3415	267	6	this	this	DET
easat-3415	267	7	method	method	NOUN
easat-3415	267	8	requires	require	VERB
easat-3415	267	9	expertise	expertise	NOUN
easat-3415	267	10	in	in	ADP
easat-3415	267	11	both	both	DET
easat-3415	267	12	clustering	cluster	VERB
easat-3415	267	13	techniques	technique	NOUN
easat-3415	267	14	and	and	CCONJ
easat-3415	267	15	time	time	NOUN
easat-3415	267	16	-	-	PUNCT
easat-3415	267	17	series	series	NOUN
easat-3415	267	18	modelling	modelling	NOUN
easat-3415	267	19	.	.	PUNCT
easat-3415	268	1	lstm	lstm	NOUN
easat-3415	268	2	models	model	NOUN
easat-3415	268	3	also	also	ADV
easat-3415	268	4	rely	rely	VERB
easat-3415	268	5	on	on	ADP
easat-3415	268	6	sufficient	sufficient	ADJ
easat-3415	268	7	data	datum	NOUN
easat-3415	268	8	within	within	ADP
easat-3415	268	9	each	each	DET
easat-3415	268	10	cluster	cluster	NOUN
easat-3415	268	11	,	,	PUNCT
easat-3415	268	12	often	often	ADV
easat-3415	268	13	necessitating	necessitate	VERB
easat-3415	268	14	extensive	extensive	ADJ
easat-3415	268	15	data	datum	NOUN
easat-3415	268	16	collection	collection	NOUN
easat-3415	268	17	.	.	PUNCT
easat-3415	269	1	future	future	ADJ
easat-3415	269	2	research	research	NOUN
easat-3415	269	3	should	should	AUX
easat-3415	269	4	focus	focus	VERB
easat-3415	269	5	on	on	ADP
easat-3415	269	6	addressing	address	VERB
easat-3415	269	7	sequential	sequential	ADJ
easat-3415	269	8	bias	bias	NOUN
easat-3415	269	9	in	in	ADP
easat-3415	269	10	cluster	cluster	NOUN
easat-3415	269	11	averaging	averaging	NOUN
easat-3415	269	12	,	,	PUNCT
easat-3415	269	13	mitigating	mitigate	VERB
easat-3415	269	14	the	the	DET
easat-3415	269	15	computational	computational	ADJ
easat-3415	269	16	overhead	overhead	NOUN
easat-3415	269	17	of	of	ADP
easat-3415	269	18	the	the	DET
easat-3415	269	19	hybrid	hybrid	ADJ
easat-3415	269	20	dbscan	dbscan	NOUN
easat-3415	269	21	-	-	PUNCT
easat-3415	269	22	lstm	lstm	PROPN
easat-3415	269	23	model	model	NOUN
easat-3415	269	24	,	,	PUNCT
easat-3415	269	25	and	and	CCONJ
easat-3415	269	26	optimizing	optimize	VERB
easat-3415	269	27	lstm	lstm	ADJ
easat-3415	269	28	hyperparameters	hyperparameter	NOUN
easat-3415	269	29	to	to	PART
easat-3415	269	30	further	far	ADV
easat-3415	269	31	improve	improve	VERB
easat-3415	269	32	prediction	prediction	NOUN
easat-3415	269	33	accuracy	accuracy	NOUN
easat-3415	269	34	.	.	PUNCT
easat-3415	270	1	copyright	copyright	NOUN
easat-3415	270	2	:	:	PUNCT
easat-3415	270	3	©	©	PROPN
easat-3415	270	4	2024	2024	NUM
easat-3415	270	5	by	by	ADP
easat-3415	270	6	the	the	DET
easat-3415	270	7	authors	author	NOUN
easat-3415	270	8	.	.	PUNCT
easat-3415	271	1	this	this	DET
easat-3415	271	2	article	article	NOUN
easat-3415	271	3	is	be	AUX
easat-3415	271	4	an	an	DET
easat-3415	271	5	open	open	ADJ
easat-3415	271	6	access	access	NOUN
easat-3415	271	7	article	article	NOUN
easat-3415	271	8	distributed	distribute	VERB
easat-3415	271	9	under	under	ADP
easat-3415	271	10	the	the	DET
easat-3415	271	11	terms	term	NOUN
easat-3415	271	12	and	and	CCONJ
easat-3415	271	13	conditions	condition	NOUN
easat-3415	271	14	of	of	ADP
easat-3415	271	15	the	the	DET
easat-3415	271	16	creative	creative	ADJ
easat-3415	271	17	commons	common	NOUN
easat-3415	271	18	attribution	attribution	NOUN
easat-3415	271	19	(	(	PUNCT
easat-3415	271	20	cc	cc	NOUN
easat-3415	271	21	by	by	ADP
easat-3415	271	22	)	)	PUNCT
easat-3415	271	23	license	license	NOUN
easat-3415	271	24	(	(	PUNCT
easat-3415	271	25	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-3415	271	26	)	)	PUNCT
easat-3415	271	27	.	.	PUNCT
easat-3415	272	1	references	reference	NOUN
easat-3415	272	2	[	[	X
easat-3415	272	3	1	1	NUM
easat-3415	272	4	]	]	SYM
easat-3415	272	5	5	5	NUM
easat-3415	272	6	g	g	PROPN
easat-3415	272	7	services	service	NOUN
easat-3415	272	8	market	market	NOUN
easat-3415	272	9	size	size	NOUN
easat-3415	272	10	,	,	PUNCT
easat-3415	272	11	share	share	NOUN
easat-3415	272	12	&	&	CCONJ
easat-3415	272	13	trends	trend	VERB
easat-3415	272	14	analysis	analysis	NOUN
easat-3415	272	15	report	report	NOUN
easat-3415	272	16	,	,	PUNCT
easat-3415	272	17	grand	grand	ADJ
easat-3415	272	18	view	view	NOUN
easat-3415	272	19	research	research	NOUN
easat-3415	272	20	,	,	PUNCT
easat-3415	272	21	pune	pune	NOUN
easat-3415	272	22	,	,	PUNCT
easat-3415	272	23	india	india	PROPN
easat-3415	272	24	,	,	PUNCT
easat-3415	272	25	2021	2021	NUM
easat-3415	272	26	.	.	PUNCT
easat-3415	273	1	[	[	X
easat-3415	273	2	12	12	NUM
easat-3415	273	3	]	]	X
easat-3415	273	4	h.	h.	PROPN
easat-3415	273	5	singh	singh	PROPN
easat-3415	273	6	,	,	PUNCT
easat-3415	273	7	s.	s.	PROPN
easat-3415	273	8	gupta	gupta	PROPN
easat-3415	273	9	,	,	PUNCT
easat-3415	273	10	c.	c.	PROPN
easat-3415	273	11	dhawa	dhawa	PROPN
easat-3415	273	12	[	[	X
easat-3415	273	13	2	2	NUM
easat-3415	273	14	]	]	PUNCT
easat-3415	273	15	c.	c.	PROPN
easat-3415	273	16	x.	x.	PROPN
easat-3415	273	17	wang	wang	PROPN
easat-3415	273	18	,	,	PUNCT
easat-3415	273	19	j.	j.	PROPN
easat-3415	273	20	bian	bian	PROPN
easat-3415	273	21	,	,	PUNCT
easat-3415	273	22	j.	j.	PROPN
easat-3415	273	23	sun	sun	PROPN
easat-3415	273	24	,	,	PUNCT
easat-3415	273	25	w.	w.	PROPN
easat-3415	273	26	zhang	zhang	PROPN
easat-3415	273	27	,	,	PUNCT
easat-3415	273	28	and	and	CCONJ
easat-3415	273	29	m.	m.	PROPN
easat-3415	273	30	zhang	zhang	PROPN
easat-3415	273	31	,	,	PUNCT
easat-3415	273	32	“	"	PUNCT
easat-3415	273	33	a	a	DET
easat-3415	273	34	survey	survey	NOUN
easat-3415	273	35	of	of	ADP
easat-3415	273	36	5	5	NUM
easat-3415	273	37	g	g	PROPN
easat-3415	273	38	channel	channel	NOUN
easat-3415	273	39	measurements	measurement	NOUN
easat-3415	273	40	and	and	CCONJ
easat-3415	273	41	models	model	NOUN
easat-3415	273	42	,	,	PUNCT
easat-3415	273	43	”	"	PUNCT
easat-3415	273	44	ieee	ieee	NOUN
easat-3415	273	45	communications	communication	NOUN
easat-3415	273	46	surveys	survey	NOUN
easat-3415	273	47	&	&	CCONJ
easat-3415	273	48	tutorials	tutorial	NOUN
easat-3415	273	49	,	,	PUNCT
easat-3415	273	50	vol	vol	NOUN
easat-3415	273	51	.	.	PROPN
easat-3415	273	52	20	20	NUM
easat-3415	273	53	,	,	PUNCT
easat-3415	273	54	no	no	INTJ
easat-3415	273	55	.	.	NOUN
easat-3415	273	56	4	4	NUM
easat-3415	273	57	,	,	PUNCT
easat-3415	273	58	pp	pp	ADJ
easat-3415	273	59	.	.	PUNCT
easat-3415	274	1	3142–3168	3142–3168	NUM
easat-3415	274	2	,	,	PUNCT
easat-3415	274	3	jan	jan	PROPN
easat-3415	274	4	.	.	PROPN
easat-3415	274	5	2018	2018	NUM
easat-3415	274	6	,	,	PUNCT
easat-3415	274	7	doi	doi	NOUN
easat-3415	274	8	:	:	PUNCT
easat-3415	274	9	10.1109	10.1109	NUM
easat-3415	274	10	/	/	SYM
easat-3415	274	11	comst.2018.2862141	comst.2018.2862141	PROPN
easat-3415	274	12	.	.	PUNCT
easat-3415	275	1	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-3415	275	2	6642	6642	NUM
easat-3415	275	3	edelweiss	edelweiss	PROPN
easat-3415	275	4	applied	apply	VERB
easat-3415	275	5	science	science	NOUN
easat-3415	275	6	and	and	CCONJ
easat-3415	275	7	technology	technology	NOUN
easat-3415	275	8	issn	issn	PROPN
easat-3415	275	9	:	:	PUNCT
easat-3415	275	10	2576	2576	NUM
easat-3415	275	11	-	-	SYM
easat-3415	275	12	8484	8484	NUM
easat-3415	275	13	vol	vol	NOUN
easat-3415	275	14	.	.	PROPN
easat-3415	275	15	8	8	NUM
easat-3415	275	16	,	,	PUNCT
easat-3415	275	17	no	no	INTJ
easat-3415	275	18	.	.	NOUN
easat-3415	276	1	6	6	NUM
easat-3415	276	2	:	:	SYM
easat-3415	276	3	6625	6625	NUM
easat-3415	276	4	-	-	SYM
easat-3415	276	5	6643	6643	NUM
easat-3415	276	6	,	,	PUNCT
easat-3415	276	7	2024	2024	NUM
easat-3415	276	8	doi	doi	NOUN
easat-3415	276	9	:	:	PUNCT
easat-3415	276	10	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	276	11	©	©	PROPN
easat-3415	276	12	2024	2024	NUM
easat-3415	276	13	by	by	ADP
easat-3415	276	14	the	the	DET
easat-3415	276	15	author	author	NOUN
easat-3415	276	16	;	;	PUNCT
easat-3415	276	17	licensee	licensee	PROPN
easat-3415	276	18	learning	learning	NOUN
easat-3415	276	19	gate	gate	NOUN
easat-3415	277	1	[	[	X
easat-3415	277	2	3	3	NUM
easat-3415	277	3	]	]	X
easat-3415	277	4	s.	s.	PROPN
easat-3415	277	5	alraih	alraih	PROPN
easat-3415	277	6	,	,	PUNCT
easat-3415	277	7	r.	r.	PROPN
easat-3415	277	8	nordin	nordin	PROPN
easat-3415	277	9	,	,	PUNCT
easat-3415	277	10	i.	i.	PROPN
easat-3415	277	11	shayea	shayea	PROPN
easat-3415	277	12	,	,	PUNCT
easat-3415	277	13	n.	n.	PROPN
easat-3415	277	14	f.	f.	PROPN
easat-3415	277	15	abdullah	abdullah	PROPN
easat-3415	277	16	and	and	CCONJ
easat-3415	277	17	a.	a.	NOUN
easat-3415	277	18	alhammadi	alhammadi	NOUN
easat-3415	277	19	,	,	PUNCT
easat-3415	277	20	"	"	PUNCT
easat-3415	277	21	ping	ping	NOUN
easat-3415	277	22	-	-	PUNCT
easat-3415	277	23	pong	pong	NOUN
easat-3415	277	24	handover	handover	NOUN
easat-3415	277	25	effect	effect	NOUN
easat-3415	277	26	reduction	reduction	NOUN
easat-3415	277	27	in	in	ADP
easat-3415	277	28	5	5	NUM
easat-3415	277	29	g	g	NOUN
easat-3415	277	30	and	and	CCONJ
easat-3415	277	31	beyond	beyond	ADP
easat-3415	277	32	networks	network	NOUN
easat-3415	277	33	,	,	PUNCT
easat-3415	277	34	"	"	PUNCT
easat-3415	277	35	2021	2021	NUM
easat-3415	277	36	ieee	ieee	NOUN
easat-3415	277	37	microwave	microwave	NOUN
easat-3415	277	38	theory	theory	NOUN
easat-3415	277	39	and	and	CCONJ
easat-3415	277	40	techniques	technique	NOUN
easat-3415	277	41	in	in	ADP
easat-3415	277	42	wireless	wireless	ADJ
easat-3415	277	43	communications	communication	NOUN
easat-3415	277	44	(	(	PUNCT
easat-3415	277	45	mttw	mttw	PROPN
easat-3415	277	46	)	)	PUNCT
easat-3415	277	47	,	,	PUNCT
easat-3415	277	48	riga	riga	PROPN
easat-3415	277	49	,	,	PUNCT
easat-3415	277	50	latvia	latvia	PROPN
easat-3415	277	51	,	,	PUNCT
easat-3415	277	52	pp	pp	X
easat-3415	277	53	.	.	PUNCT
easat-3415	278	1	97	97	NUM
easat-3415	278	2	-	-	SYM
easat-3415	278	3	101	101	NUM
easat-3415	278	4	,	,	PUNCT
easat-3415	278	5	2021	2021	NUM
easat-3415	278	6	doi	doi	NOUN
easat-3415	278	7	:	:	PUNCT
easat-3415	278	8	10.1109	10.1109	NUM
easat-3415	278	9	/	/	SYM
easat-3415	278	10	mttw53539.2021.9607205	mttw53539.2021.9607205	NUM
easat-3415	278	11	[	[	PUNCT
easat-3415	278	12	4	4	NUM
easat-3415	278	13	]	]	PUNCT
easat-3415	278	14	m.	m.	PROPN
easat-3415	278	15	n.	n.	PROPN
easat-3415	278	16	mahdi	mahdi	PROPN
easat-3415	278	17	,	,	PUNCT
easat-3415	278	18	k.	k.	PROPN
easat-3415	278	19	s.	s.	PROPN
easat-3415	278	20	mohamed	mohamed	PROPN
easat-3415	278	21	,	,	PUNCT
easat-3415	278	22	a.	a.	PROPN
easat-3415	278	23	r.	r.	PROPN
easat-3415	278	24	ahmad	ahmad	PROPN
easat-3415	278	25	,	,	PUNCT
easat-3415	278	26	and	and	CCONJ
easat-3415	278	27	m.	m.	NOUN
easat-3415	278	28	a.	a.	NOUN
easat-3415	278	29	subhi	subhi	PROPN
easat-3415	278	30	,	,	PUNCT
easat-3415	278	31	‘	'	PUNCT
easat-3415	278	32	‘	'	PUNCT
easat-3415	278	33	the	the	DET
easat-3415	278	34	vision	vision	NOUN
easat-3415	278	35	of	of	ADP
easat-3415	278	36	5	5	NUM
easat-3415	278	37	g	g	NOUN
easat-3415	278	38	and	and	CCONJ
easat-3415	278	39	cell	cell	NOUN
easat-3415	278	40	-	-	PUNCT
easat-3415	278	41	free	free	ADJ
easat-3415	278	42	communication	communication	NOUN
easat-3415	278	43	networks	network	NOUN
easat-3415	278	44	in	in	ADP
easat-3415	278	45	malaysia	malaysia	PROPN
easat-3415	278	46	,	,	PUNCT
easat-3415	278	47	’’	’'	PUNCT
easat-3415	278	48	in	in	ADP
easat-3415	278	49	proc	proc	NOUN
easat-3415	278	50	.	.	PUNCT
easat-3415	279	1	8th	8th	ADJ
easat-3415	279	2	int	int	PROPN
easat-3415	279	3	.	.	PUNCT
easat-3415	280	1	conf	conf	PROPN
easat-3415	280	2	.	.	PUNCT
easat-3415	281	1	inf	inf	PROPN
easat-3415	281	2	.	.	PUNCT
easat-3415	281	3	technol	technol	PROPN
easat-3415	281	4	.	.	PUNCT
easat-3415	282	1	multimedia	multimedia	PROPN
easat-3415	282	2	(	(	PUNCT
easat-3415	282	3	icimu	icimu	NOUN
easat-3415	282	4	)	)	PUNCT
easat-3415	282	5	,	,	PUNCT
easat-3415	282	6	ieee	ieee	NOUN
easat-3415	282	7	,	,	PUNCT
easat-3415	282	8	aug	aug	PROPN
easat-3415	282	9	.	.	PROPN
easat-3415	282	10	2020	2020	NUM
easat-3415	282	11	,	,	PUNCT
easat-3415	282	12	pp	pp	ADV
easat-3415	282	13	.	.	PUNCT
easat-3415	283	1	156–161	156–161	NUM
easat-3415	283	2	[	[	X
easat-3415	283	3	5	5	NUM
easat-3415	283	4	]	]	PUNCT
easat-3415	283	5	c.	c.	PROPN
easat-3415	283	6	a.	a.	PROPN
easat-3415	283	7	ionescu	ionescu	PROPN
easat-3415	283	8	,	,	PUNCT
easat-3415	283	9	m.	m.	NOUN
easat-3415	283	10	t.	t.	PROPN
easat-3415	283	11	fülöp	fülöp	PROPN
easat-3415	283	12	,	,	PUNCT
easat-3415	283	13	d.	d.	PROPN
easat-3415	283	14	i.	i.	PROPN
easat-3415	283	15	topor	topor	PROPN
easat-3415	283	16	,	,	PUNCT
easat-3415	283	17	s.	s.	PROPN
easat-3415	283	18	căpuşneanu	căpuşneanu	PROPN
easat-3415	283	19	,	,	PUNCT
easat-3415	283	20	t.	t.	PROPN
easat-3415	283	21	o.	o.	PROPN
easat-3415	283	22	breaz	breaz	PROPN
easat-3415	283	23	,	,	PUNCT
easat-3415	283	24	s.	s.	PROPN
easat-3415	283	25	g.	g.	PROPN
easat-3415	283	26	stănescu	stănescu	PROPN
easat-3415	283	27	,	,	PUNCT
easat-3415	283	28	and	and	CCONJ
easat-3415	283	29	m.	m.	PROPN
easat-3415	283	30	d.	d.	PROPN
easat-3415	283	31	coman	coman	PROPN
easat-3415	283	32	,	,	PUNCT
easat-3415	283	33	‘	'	PUNCT
easat-3415	283	34	‘	'	PUNCT
easat-3415	283	35	the	the	DET
easat-3415	283	36	new	new	ADJ
easat-3415	283	37	era	era	NOUN
easat-3415	283	38	of	of	ADP
easat-3415	283	39	business	business	NOUN
easat-3415	283	40	digitization	digitization	NOUN
easat-3415	283	41	through	through	ADP
easat-3415	283	42	the	the	DET
easat-3415	283	43	implementation	implementation	NOUN
easat-3415	283	44	of	of	ADP
easat-3415	283	45	5	5	NUM
easat-3415	283	46	g	g	NOUN
easat-3415	283	47	technology	technology	NOUN
easat-3415	283	48	in	in	ADP
easat-3415	283	49	romania	romania	PROPN
easat-3415	283	50	,	,	PUNCT
easat-3415	283	51	’’	’'	PUNCT
easat-3415	283	52	sustainability	sustainability	NOUN
easat-3415	283	53	,	,	PUNCT
easat-3415	283	54	vol	vol	NOUN
easat-3415	283	55	.	.	PROPN
easat-3415	283	56	13	13	NUM
easat-3415	283	57	,	,	PUNCT
easat-3415	283	58	no	no	INTJ
easat-3415	283	59	.	.	NOUN
easat-3415	283	60	23	23	NUM
easat-3415	283	61	,	,	PUNCT
easat-3415	283	62	pp	pp	ADJ
easat-3415	283	63	.	.	PUNCT
easat-3415	283	64	13401	13401	NUM
easat-3415	283	65	,	,	PUNCT
easat-3415	283	66	dec	dec	PROPN
easat-3415	283	67	.	.	PROPN
easat-3415	283	68	2021	2021	NUM
easat-3415	283	69	,	,	PUNCT
easat-3415	283	70	doi	doi	NOUN
easat-3415	283	71	:	:	PUNCT
easat-3415	283	72	10.3390	10.3390	NUM
easat-3415	283	73	/	/	SYM
easat-3415	283	74	su132313401	su132313401	NOUN
easat-3415	283	75	.	.	PUNCT
easat-3415	284	1	[	[	X
easat-3415	284	2	6	6	NUM
easat-3415	284	3	]	]	PUNCT
easat-3415	284	4	a.	a.	NOUN
easat-3415	284	5	m.	m.	NOUN
easat-3415	284	6	ramly	ramly	NOUN
easat-3415	284	7	,	,	PUNCT
easat-3415	284	8	n.	n.	PROPN
easat-3415	284	9	f.	f.	PROPN
easat-3415	284	10	abdullah	abdullah	PROPN
easat-3415	284	11	,	,	PUNCT
easat-3415	284	12	and	and	CCONJ
easat-3415	284	13	r.	r.	PROPN
easat-3415	284	14	nordin	nordin	PROPN
easat-3415	284	15	,	,	PUNCT
easat-3415	284	16	‘	'	PUNCT
easat-3415	284	17	‘	'	PUNCT
easat-3415	284	18	cross	cross	ADJ
easat-3415	284	19	-	-	ADJ
easat-3415	284	20	layer	layer	ADJ
easat-3415	284	21	design	design	NOUN
easat-3415	284	22	and	and	CCONJ
easat-3415	284	23	performance	performance	NOUN
easat-3415	284	24	analysis	analysis	NOUN
easat-3415	284	25	for	for	ADP
easat-3415	284	26	ultra	ultra	ADJ
easat-3415	284	27	-	-	ADJ
easat-3415	284	28	reliable	reliable	ADJ
easat-3415	284	29	factory	factory	NOUN
easat-3415	284	30	of	of	ADP
easat-3415	284	31	the	the	DET
easat-3415	284	32	future	future	NOUN
easat-3415	284	33	based	base	VERB
easat-3415	284	34	on	on	ADP
easat-3415	284	35	5	5	NUM
easat-3415	284	36	g	g	NOUN
easat-3415	284	37	mobile	mobile	ADJ
easat-3415	284	38	networks	network	NOUN
easat-3415	284	39	,	,	PUNCT
easat-3415	284	40	’	'	PUNCT
easat-3415	284	41	ieee	ieee	NOUN
easat-3415	284	42	access	access	NOUN
easat-3415	284	43	,	,	PUNCT
easat-3415	284	44	vol	vol	NOUN
easat-3415	284	45	.	.	NOUN
easat-3415	284	46	9	9	NUM
easat-3415	284	47	,	,	PUNCT
easat-3415	284	48	pp	pp	ADJ
easat-3415	284	49	.	.	PUNCT
easat-3415	285	1	68161–68175	68161–68175	NUM
easat-3415	285	2	,	,	PUNCT
easat-3415	285	3	2021	2021	NUM
easat-3415	285	4	,	,	PUNCT
easat-3415	285	5	doi	doi	NOUN
easat-3415	285	6	:	:	PUNCT
easat-3415	285	7	10.1109	10.1109	NUM
easat-3415	285	8	/	/	SYM
easat-3415	285	9	access.2021.3078165	access.2021.3078165	NUM
easat-3415	285	10	.	.	PUNCT
easat-3415	286	1	[	[	X
easat-3415	286	2	7	7	X
easat-3415	286	3	]	]	X
easat-3415	286	4	y.	y.	PROPN
easat-3415	286	5	xu	xu	PROPN
easat-3415	286	6	,	,	PUNCT
easat-3415	286	7	g.	g.	PROPN
easat-3415	286	8	gui	gui	PROPN
easat-3415	286	9	&	&	CCONJ
easat-3415	286	10	f.	f.	PROPN
easat-3415	286	11	adachi	adachi	PROPN
easat-3415	286	12	,	,	PUNCT
easat-3415	286	13	“	"	PUNCT
easat-3415	286	14	a	a	DET
easat-3415	286	15	survey	survey	NOUN
easat-3415	286	16	on	on	ADP
easat-3415	286	17	resource	resource	NOUN
easat-3415	286	18	allocation	allocation	NOUN
easat-3415	286	19	for	for	ADP
easat-3415	286	20	5	5	NUM
easat-3415	286	21	g	g	NOUN
easat-3415	286	22	heterogeneous	heterogeneous	ADJ
easat-3415	286	23	networks	network	NOUN
easat-3415	286	24	:	:	PUNCT
easat-3415	286	25	current	current	ADJ
easat-3415	286	26	research	research	NOUN
easat-3415	286	27	,	,	PUNCT
easat-3415	286	28	future	future	ADJ
easat-3415	286	29	trends	trend	NOUN
easat-3415	286	30	and	and	CCONJ
easat-3415	286	31	challenges	challenge	NOUN
easat-3415	286	32	,	,	PUNCT
easat-3415	286	33	”	"	PUNCT
easat-3415	286	34	in	in	ADP
easat-3415	286	35	2021	2021	NUM
easat-3415	286	36	ieee	ieee	NOUN
easat-3415	286	37	communications	communication	NOUN
easat-3415	286	38	surveys	survey	NOUN
easat-3415	286	39	&	&	CCONJ
easat-3415	286	40	tutorials	tutorial	NOUN
easat-3415	286	41	.	.	PUNCT
easat-3415	287	1	2021	2021	NUM
easat-3415	287	2	,	,	PUNCT
easat-3415	287	3	pp	pp	ADJ
easat-3415	287	4	.	.	PUNCT
easat-3415	288	1	1	1	NUM
easat-3415	288	2	-	-	SYM
easat-3415	288	3	1	1	NUM
easat-3415	288	4	.	.	NOUN
easat-3415	288	5	10.1109	10.1109	NUM
easat-3415	288	6	/	/	SYM
easat-3415	288	7	comst.2021.3059896	comst.2021.3059896	NOUN
easat-3415	288	8	.	.	PUNCT
easat-3415	289	1	[	[	X
easat-3415	289	2	8	8	NUM
easat-3415	289	3	]	]	PUNCT
easat-3415	289	4	s.	s.	PROPN
easat-3415	289	5	kassan	kassan	PROPN
easat-3415	289	6	,	,	PUNCT
easat-3415	289	7	i.	i.	PROPN
easat-3415	289	8	hadj	hadj	PROPN
easat-3415	289	9	-	-	PUNCT
easat-3415	289	10	kacem	kacem	PROPN
easat-3415	289	11	,	,	PUNCT
easat-3415	289	12	s.	s.	PROPN
easat-3415	289	13	ben	ben	PROPN
easat-3415	289	14	jemaa	jemaa	PROPN
easat-3415	289	15	and	and	CCONJ
easat-3415	289	16	s.	s.	PROPN
easat-3415	289	17	allio	allio	PROPN
easat-3415	289	18	,	,	PUNCT
easat-3415	289	19	”	"	PUNCT
easat-3415	289	20	a	a	DET
easat-3415	289	21	hybrid	hybrid	ADJ
easat-3415	289	22	machine	machine	NOUN
easat-3415	289	23	learning	learning	NOUN
easat-3415	289	24	based	base	VERB
easat-3415	289	25	model	model	NOUN
easat-3415	289	26	for	for	ADP
easat-3415	289	27	congestion	congestion	NOUN
easat-3415	289	28	prediction	prediction	NOUN
easat-3415	289	29	in	in	ADP
easat-3415	289	30	mobile	mobile	ADJ
easat-3415	289	31	networks	network	NOUN
easat-3415	289	32	,	,	PUNCT
easat-3415	289	33	”	"	PUNCT
easat-3415	289	34	in	in	ADP
easat-3415	289	35	2022	2022	NUM
easat-3415	289	36	ieee	ieee	NOUN
easat-3415	289	37	33rd	33rd	ADJ
easat-3415	289	38	annual	annual	ADJ
easat-3415	289	39	international	international	ADJ
easat-3415	289	40	symposium	symposium	NOUN
easat-3415	289	41	on	on	ADP
easat-3415	289	42	personal	personal	ADJ
easat-3415	289	43	,	,	PUNCT
easat-3415	289	44	indoor	indoor	ADJ
easat-3415	289	45	and	and	CCONJ
easat-3415	289	46	mobile	mobile	ADJ
easat-3415	289	47	radio	radio	NOUN
easat-3415	289	48	communications	communication	NOUN
easat-3415	289	49	(	(	PUNCT
easat-3415	289	50	pimrc	pimrc	NOUN
easat-3415	289	51	)	)	PUNCT
easat-3415	289	52	,	,	PUNCT
easat-3415	289	53	kyoto	kyoto	PROPN
easat-3415	289	54	,	,	PUNCT
easat-3415	289	55	japan	japan	PROPN
easat-3415	289	56	,	,	PUNCT
easat-3415	289	57	2022	2022	NUM
easat-3415	289	58	,	,	PUNCT
easat-3415	289	59	pp	pp	ADJ
easat-3415	289	60	.	.	PUNCT
easat-3415	290	1	583	583	NUM
easat-3415	290	2	-	-	SYM
easat-3415	290	3	588	588	NUM
easat-3415	290	4	[	[	X
easat-3415	290	5	9	9	NUM
easat-3415	290	6	]	]	SYM
easat-3415	290	7	b.	b.	PROPN
easat-3415	290	8	s.	s.	PROPN
easat-3415	290	9	shawel	shawel	PROPN
easat-3415	290	10	,	,	PUNCT
easat-3415	290	11	t.	t.	PROPN
easat-3415	290	12	t.	t.	PROPN
easat-3415	290	13	debella	debella	PROPN
easat-3415	290	14	,	,	PUNCT
easat-3415	290	15	g.	g.	PROPN
easat-3415	290	16	tesfaye	tesfaye	PROPN
easat-3415	290	17	,	,	PUNCT
easat-3415	290	18	y.	y.	PROPN
easat-3415	290	19	y.	y.	PROPN
easat-3415	290	20	tefera	tefera	PROPN
easat-3415	290	21	and	and	CCONJ
easat-3415	290	22	d.	d.	PROPN
easat-3415	290	23	h.	h.	PROPN
easat-3415	290	24	woldegebreal	woldegebreal	PROPN
easat-3415	290	25	,	,	PUNCT
easat-3415	290	26	"	"	PUNCT
easat-3415	290	27	hybrid	hybrid	ADJ
easat-3415	290	28	prediction	prediction	NOUN
easat-3415	290	29	model	model	NOUN
easat-3415	290	30	for	for	ADP
easat-3415	290	31	mobile	mobile	ADJ
easat-3415	290	32	data	datum	NOUN
easat-3415	290	33	traffic	traffic	NOUN
easat-3415	290	34	:	:	PUNCT
easat-3415	290	35	a	a	DET
easat-3415	290	36	cluster	cluster	NOUN
easat-3415	290	37	-	-	PUNCT
easat-3415	290	38	level	level	NOUN
easat-3415	290	39	approach	approach	NOUN
easat-3415	290	40	,	,	PUNCT
easat-3415	290	41	"	"	PUNCT
easat-3415	290	42	in	in	ADP
easat-3415	290	43	2020	2020	NUM
easat-3415	290	44	international	international	ADJ
easat-3415	290	45	joint	joint	ADJ
easat-3415	290	46	conference	conference	NOUN
easat-3415	290	47	on	on	ADP
easat-3415	290	48	neural	neural	ADJ
easat-3415	290	49	networks	network	NOUN
easat-3415	290	50	(	(	PUNCT
easat-3415	290	51	ijcnn	ijcnn	PROPN
easat-3415	290	52	)	)	PUNCT
easat-3415	290	53	,	,	PUNCT
easat-3415	290	54	glasgow	glasgow	PROPN
easat-3415	290	55	,	,	PUNCT
easat-3415	290	56	uk	uk	PROPN
easat-3415	290	57	,	,	PUNCT
easat-3415	290	58	2020	2020	NUM
easat-3415	290	59	,	,	PUNCT
easat-3415	290	60	pp	pp	ADV
easat-3415	290	61	.	.	PUNCT
easat-3415	291	1	1	1	NUM
easat-3415	291	2	-	-	SYM
easat-3415	291	3	8	8	NUM
easat-3415	291	4	,	,	PUNCT
easat-3415	291	5	doi	doi	NOUN
easat-3415	291	6	:	:	PUNCT
easat-3415	291	7	10.1109	10.1109	NUM
easat-3415	291	8	/	/	SYM
easat-3415	291	9	ijcnn48605.2020.9207655	ijcnn48605.2020.9207655	PROPN
easat-3415	291	10	.	.	PUNCT
easat-3415	292	1	[	[	X
easat-3415	292	2	10	10	NUM
easat-3415	292	3	]	]	X
easat-3415	292	4	n.	n.	PROPN
easat-3415	292	5	moraitis	moraitis	PROPN
easat-3415	292	6	,	,	PUNCT
easat-3415	292	7	l.	l.	PROPN
easat-3415	292	8	tsipi	tsipi	PROPN
easat-3415	292	9	,	,	PUNCT
easat-3415	292	10	and	and	CCONJ
easat-3415	292	11	d.	d.	PROPN
easat-3415	292	12	vouyioukas	vouyioukas	PROPN
easat-3415	292	13	,	,	PUNCT
easat-3415	292	14	‘	'	PUNCT
easat-3415	292	15	‘	'	PUNCT
easat-3415	292	16	machine	machine	NOUN
easat-3415	292	17	learning	learning	NOUN
easat-3415	292	18	-	-	PUNCT
easat-3415	292	19	based	base	VERB
easat-3415	292	20	methods	method	NOUN
easat-3415	292	21	for	for	ADP
easat-3415	292	22	path	path	NOUN
easat-3415	292	23	loss	loss	NOUN
easat-3415	292	24	prediction	prediction	NOUN
easat-3415	292	25	in	in	ADP
easat-3415	292	26	urban	urban	ADJ
easat-3415	292	27	environment	environment	NOUN
easat-3415	292	28	for	for	ADP
easat-3415	292	29	lte	lte	PROPN
easat-3415	292	30	networks	network	NOUN
easat-3415	292	31	,	,	PUNCT
easat-3415	292	32	”	"	PUNCT
easat-3415	292	33	in	in	ADP
easat-3415	292	34	proc	proc	NOUN
easat-3415	292	35	.	.	PUNCT
easat-3415	292	36	16th	16th	ADJ
easat-3415	292	37	int	int	NOUN
easat-3415	292	38	.	.	PUNCT
easat-3415	292	39	conf	conf	NOUN
easat-3415	292	40	.	.	PUNCT
easat-3415	293	1	wireless	wireless	ADJ
easat-3415	293	2	mobile	mobile	ADJ
easat-3415	293	3	comput	comput	NOUN
easat-3415	293	4	.	.	PUNCT
easat-3415	293	5	,	,	PUNCT
easat-3415	293	6	netw	netw	NOUN
easat-3415	293	7	.	.	PUNCT
easat-3415	294	1	commun	commun	PROPN
easat-3415	294	2	.	.	PUNCT
easat-3415	295	1	(	(	PUNCT
easat-3415	295	2	wimob	wimob	NOUN
easat-3415	295	3	)	)	PUNCT
easat-3415	295	4	,	,	PUNCT
easat-3415	295	5	oct	oct	PROPN
easat-3415	295	6	.	.	PROPN
easat-3415	295	7	2020	2020	NUM
easat-3415	295	8	,	,	PUNCT
easat-3415	295	9	pp	pp	ADV
easat-3415	295	10	.	.	PUNCT
easat-3415	296	1	1–6	1–6	NUM
easat-3415	296	2	,	,	PUNCT
easat-3415	296	3	doi	doi	NOUN
easat-3415	296	4	:	:	PUNCT
easat-3415	296	5	10.1109	10.1109	NUM
easat-3415	296	6	/	/	SYM
easat-3415	296	7	wimob50308.2020.9253369	wimob50308.2020.9253369	PROPN
easat-3415	297	1	[	[	X
easat-3415	297	2	11	11	NUM
easat-3415	297	3	]	]	PUNCT
easat-3415	297	4	s.	s.	PROPN
easat-3415	297	5	jaffry	jaffry	PROPN
easat-3415	297	6	and	and	CCONJ
easat-3415	297	7	s.	s.	PROPN
easat-3415	297	8	f.	f.	PROPN
easat-3415	297	9	hasan	hasan	PROPN
easat-3415	297	10	,	,	PUNCT
easat-3415	297	11	“	"	PUNCT
easat-3415	297	12	cellular	cellular	ADJ
easat-3415	297	13	traffic	traffic	NOUN
easat-3415	297	14	prediction	prediction	NOUN
easat-3415	297	15	using	use	VERB
easat-3415	297	16	recurrent	recurrent	ADJ
easat-3415	297	17	neural	neural	ADJ
easat-3415	297	18	networks	network	NOUN
easat-3415	297	19	,	,	PUNCT
easat-3415	297	20	”	"	PUNCT
easat-3415	297	21	in	in	ADP
easat-3415	297	22	2020	2020	NUM
easat-3415	297	23	ieee	ieee	NOUN
easat-3415	297	24	5th	5th	ADJ
easat-3415	297	25	international	international	ADJ
easat-3415	297	26	symposium	symposium	NOUN
easat-3415	297	27	on	on	ADP
easat-3415	297	28	telecommunication	telecommunication	NOUN
easat-3415	297	29	technologies	technology	NOUN
easat-3415	297	30	(	(	PUNCT
easat-3415	297	31	istt	istt	NOUN
easat-3415	297	32	)	)	PUNCT
easat-3415	297	33	,	,	PUNCT
easat-3415	297	34	2020	2020	NUM
easat-3415	297	35	,	,	PUNCT
easat-3415	297	36	pp	pp	ADJ
easat-3415	297	37	.	.	PUNCT
easat-3415	298	1	94–98	94–98	NUM
easat-3415	298	2	.	.	PUNCT
easat-3415	299	1	[	[	X
easat-3415	299	2	12	12	NUM
easat-3415	299	3	]	]	X
easat-3415	299	4	b.	b.	PROPN
easat-3415	299	5	s.	s.	PROPN
easat-3415	299	6	shawel	shawel	PROPN
easat-3415	299	7	,	,	PUNCT
easat-3415	299	8	t.	t.	PROPN
easat-3415	299	9	t.	t.	PROPN
easat-3415	299	10	debella	debella	PROPN
easat-3415	299	11	,	,	PUNCT
easat-3415	299	12	g.	g.	PROPN
easat-3415	299	13	tesfaye	tesfaye	PROPN
easat-3415	299	14	,	,	PUNCT
easat-3415	299	15	y.	y.	PROPN
easat-3415	299	16	y.	y.	PROPN
easat-3415	299	17	tefera	tefera	PROPN
easat-3415	299	18	and	and	CCONJ
easat-3415	299	19	d.	d.	PROPN
easat-3415	299	20	h.	h.	PROPN
easat-3415	299	21	woldegebreal	woldegebreal	PROPN
easat-3415	299	22	,	,	PUNCT
easat-3415	299	23	"	"	PUNCT
easat-3415	299	24	hybrid	hybrid	ADJ
easat-3415	299	25	prediction	prediction	NOUN
easat-3415	299	26	model	model	NOUN
easat-3415	299	27	for	for	ADP
easat-3415	299	28	mobile	mobile	ADJ
easat-3415	299	29	data	datum	NOUN
easat-3415	299	30	traffic	traffic	NOUN
easat-3415	299	31	:	:	PUNCT
easat-3415	299	32	a	a	DET
easat-3415	299	33	cluster	cluster	NOUN
easat-3415	299	34	-	-	PUNCT
easat-3415	299	35	level	level	NOUN
easat-3415	299	36	approach	approach	NOUN
easat-3415	299	37	,	,	PUNCT
easat-3415	299	38	"	"	PUNCT
easat-3415	299	39	in	in	ADP
easat-3415	299	40	2020	2020	NUM
easat-3415	299	41	international	international	ADJ
easat-3415	299	42	joint	joint	ADJ
easat-3415	299	43	conference	conference	NOUN
easat-3415	299	44	on	on	ADP
easat-3415	299	45	neural	neural	ADJ
easat-3415	299	46	networks	network	NOUN
easat-3415	299	47	(	(	PUNCT
easat-3415	299	48	ijcnn	ijcnn	PROPN
easat-3415	299	49	)	)	PUNCT
easat-3415	299	50	,	,	PUNCT
easat-3415	299	51	glasgow	glasgow	PROPN
easat-3415	299	52	,	,	PUNCT
easat-3415	299	53	uk	uk	PROPN
easat-3415	299	54	,	,	PUNCT
easat-3415	299	55	2020	2020	NUM
easat-3415	299	56	,	,	PUNCT
easat-3415	299	57	pp	pp	ADV
easat-3415	299	58	.	.	PUNCT
easat-3415	300	1	1	1	NUM
easat-3415	300	2	-	-	SYM
easat-3415	300	3	8	8	NUM
easat-3415	300	4	,	,	PUNCT
easat-3415	300	5	doi	doi	NOUN
easat-3415	300	6	:	:	PUNCT
easat-3415	300	7	10.1109	10.1109	NUM
easat-3415	300	8	/	/	SYM
easat-3415	300	9	ijcnn48605.2020.9207655	ijcnn48605.2020.9207655	PROPN
easat-3415	300	10	.	.	PUNCT
easat-3415	301	1	[	[	X
easat-3415	301	2	13	13	NUM
easat-3415	301	3	]	]	X
easat-3415	301	4	n.	n.	NOUN
easat-3415	301	5	koursioumpas	koursioumpas	PROPN
easat-3415	301	6	,	,	PUNCT
easat-3415	301	7	l.	l.	PROPN
easat-3415	301	8	magoula	magoula	PROPN
easat-3415	301	9	,	,	PUNCT
easat-3415	301	10	s.	s.	PROPN
easat-3415	301	11	barmpounakis	barmpounakis	PROPN
easat-3415	301	12	and	and	CCONJ
easat-3415	301	13	i.	i.	PROPN
easat-3415	301	14	stavrakakis	stavrakakis	PROPN
easat-3415	301	15	,	,	PUNCT
easat-3415	301	16	"	"	PUNCT
easat-3415	301	17	network	network	NOUN
easat-3415	301	18	traffic	traffic	NOUN
easat-3415	301	19	anomaly	anomaly	NOUN
easat-3415	301	20	prediction	prediction	NOUN
easat-3415	301	21	for	for	ADP
easat-3415	301	22	beyond	beyond	ADP
easat-3415	301	23	5	5	NUM
easat-3415	301	24	g	g	NOUN
easat-3415	301	25	networks	network	NOUN
easat-3415	301	26	,	,	PUNCT
easat-3415	301	27	"	"	PUNCT
easat-3415	301	28	2022	2022	NUM
easat-3415	301	29	ieee	ieee	NOUN
easat-3415	301	30	33rd	33rd	ADJ
easat-3415	301	31	annual	annual	ADJ
easat-3415	301	32	international	international	ADJ
easat-3415	301	33	symposium	symposium	NOUN
easat-3415	301	34	on	on	ADP
easat-3415	301	35	personal	personal	ADJ
easat-3415	301	36	,	,	PUNCT
easat-3415	301	37	indoor	indoor	ADJ
easat-3415	301	38	and	and	CCONJ
easat-3415	301	39	mobile	mobile	ADJ
easat-3415	301	40	radio	radio	NOUN
easat-3415	301	41	communications	communication	NOUN
easat-3415	301	42	(	(	PUNCT
easat-3415	301	43	pimrc	pimrc	NOUN
easat-3415	301	44	)	)	PUNCT
easat-3415	301	45	,	,	PUNCT
easat-3415	301	46	kyoto	kyoto	PROPN
easat-3415	301	47	,	,	PUNCT
easat-3415	301	48	japan	japan	PROPN
easat-3415	301	49	,	,	PUNCT
easat-3415	301	50	2022	2022	NUM
easat-3415	301	51	,	,	PUNCT
easat-3415	301	52	pp	pp	ADJ
easat-3415	301	53	.	.	PUNCT
easat-3415	301	54	589	589	NUM
easat-3415	301	55	-	-	SYM
easat-3415	301	56	594	594	NUM
easat-3415	301	57	,	,	PUNCT
easat-3415	301	58	doi	doi	NOUN
easat-3415	301	59	:	:	PUNCT
easat-3415	301	60	10.1109	10.1109	NUM
easat-3415	301	61	/	/	SYM
easat-3415	301	62	pimrc54779.2022.9977469	pimrc54779.2022.9977469	NOUN
easat-3415	302	1	[	[	X
easat-3415	302	2	14	14	NUM
easat-3415	302	3	]	]	X
easat-3415	302	4	i.	i.	PROPN
easat-3415	302	5	hadj	hadj	PROPN
easat-3415	302	6	-	-	PUNCT
easat-3415	302	7	kacem	kacem	PROPN
easat-3415	302	8	,	,	PUNCT
easat-3415	302	9	s.	s.	PROPN
easat-3415	302	10	ben	ben	PROPN
easat-3415	302	11	jemaa	jemaa	PROPN
easat-3415	302	12	,	,	PUNCT
easat-3415	302	13	s.	s.	PROPN
easat-3415	302	14	allio	allio	PROPN
easat-3415	302	15	and	and	CCONJ
easat-3415	302	16	y.	y.	PROPN
easat-3415	302	17	ben	ben	PROPN
easat-3415	302	18	slimen	slimen	PROPN
easat-3415	302	19	,	,	PUNCT
easat-3415	302	20	“	"	PUNCT
easat-3415	302	21	anomaly	anomaly	NOUN
easat-3415	302	22	prediction	prediction	NOUN
easat-3415	302	23	in	in	ADP
easat-3415	302	24	mobile	mobile	ADJ
easat-3415	302	25	networks	network	NOUN
easat-3415	302	26	:	:	PUNCT
easat-3415	302	27	a	a	DET
easat-3415	302	28	data	data	NOUN
easat-3415	302	29	driven	drive	VERB
easat-3415	302	30	approach	approach	NOUN
easat-3415	302	31	for	for	ADP
easat-3415	302	32	machine	machine	NOUN
easat-3415	302	33	learning	learn	VERB
easat-3415	302	34	algorithm	algorithm	NOUN
easat-3415	302	35	selection	selection	NOUN
easat-3415	302	36	,	,	PUNCT
easat-3415	302	37	”	"	PUNCT
easat-3415	302	38	in	in	ADP
easat-3415	302	39	2020	2020	NUM
easat-3415	302	40	ieee	ieee	NOUN
easat-3415	302	41	/	/	SYM
easat-3415	302	42	ifip	ifip	PROPN
easat-3415	302	43	network	network	NOUN
easat-3415	302	44	operations	operation	NOUN
easat-3415	302	45	and	and	CCONJ
easat-3415	302	46	management	management	NOUN
easat-3415	302	47	symposium	symposium	NOUN
easat-3415	302	48	(	(	PUNCT
easat-3415	302	49	noms	nom	NOUN
easat-3415	302	50	2020	2020	NUM
easat-3415	302	51	)	)	PUNCT
easat-3415	302	52	,	,	PUNCT
easat-3415	302	53	budapest	budapest	NOUN
easat-3415	302	54	,	,	PUNCT
easat-3415	302	55	hungary	hungary	PROPN
easat-3415	302	56	,	,	PUNCT
easat-3415	302	57	2020	2020	NUM
easat-3415	302	58	,	,	PUNCT
easat-3415	302	59	pp	pp	ADV
easat-3415	302	60	.	.	PUNCT
easat-3415	303	1	1–7	1–7	NUM
easat-3415	304	1	[	[	X
easat-3415	304	2	15	15	NUM
easat-3415	304	3	]	]	X
easat-3415	304	4	c.	c.	NOUN
easat-3415	304	5	bolchini	bolchini	PROPN
easat-3415	304	6	and	and	CCONJ
easat-3415	304	7	a.	a.	NOUN
easat-3415	304	8	bosio	bosio	PROPN
easat-3415	304	9	,	,	PUNCT
easat-3415	304	10	"	"	PUNCT
easat-3415	304	11	resilience	resilience	NOUN
easat-3415	304	12	of	of	ADP
easat-3415	304	13	deep	deep	ADJ
easat-3415	304	14	learning	learning	NOUN
easat-3415	304	15	applications	application	NOUN
easat-3415	304	16	:	:	PUNCT
easat-3415	304	17	where	where	SCONJ
easat-3415	304	18	we	we	PRON
easat-3415	304	19	are	be	AUX
easat-3415	304	20	and	and	CCONJ
easat-3415	304	21	where	where	SCONJ
easat-3415	304	22	we	we	PRON
easat-3415	304	23	want	want	VERB
easat-3415	304	24	to	to	PART
easat-3415	304	25	go	go	VERB
easat-3415	304	26	,	,	PUNCT
easat-3415	304	27	"	"	PUNCT
easat-3415	304	28	2024	2024	NUM
easat-3415	304	29	design	design	NOUN
easat-3415	304	30	,	,	PUNCT
easat-3415	304	31	automation	automation	NOUN
easat-3415	304	32	&	&	CCONJ
easat-3415	304	33	test	test	PROPN
easat-3415	304	34	in	in	ADP
easat-3415	304	35	europe	europe	PROPN
easat-3415	304	36	conference	conference	PROPN
easat-3415	304	37	&	&	CCONJ
easat-3415	304	38	exhibition	exhibition	PROPN
easat-3415	304	39	(	(	PUNCT
easat-3415	304	40	date	date	NOUN
easat-3415	304	41	)	)	PUNCT
easat-3415	304	42	,	,	PUNCT
easat-3415	304	43	valencia	valencia	PROPN
easat-3415	304	44	,	,	PUNCT
easat-3415	304	45	spain	spain	PROPN
easat-3415	304	46	,	,	PUNCT
easat-3415	304	47	2024	2024	NUM
easat-3415	304	48	,	,	PUNCT
easat-3415	304	49	pp	pp	ADJ
easat-3415	304	50	.	.	PUNCT
easat-3415	305	1	1	1	NUM
easat-3415	305	2	-	-	SYM
easat-3415	305	3	1	1	NUM
easat-3415	305	4	,	,	PUNCT
easat-3415	305	5	doi	doi	NOUN
easat-3415	305	6	:	:	PUNCT
easat-3415	305	7	10.23919	10.23919	NUM
easat-3415	305	8	/	/	SYM
easat-3415	305	9	date58400.2024.10546613	date58400.2024.10546613	NOUN
easat-3415	305	10	.	.	PUNCT
easat-3415	306	1	[	[	X
easat-3415	306	2	16	16	NUM
easat-3415	306	3	]	]	PUNCT
easat-3415	306	4	alzubaidi	alzubaidi	PROPN
easat-3415	306	5	,	,	PUNCT
easat-3415	306	6	l.	l.	PROPN
easat-3415	306	7	,	,	PUNCT
easat-3415	306	8	zhang	zhang	PROPN
easat-3415	306	9	,	,	PUNCT
easat-3415	306	10	j.	j.	PROPN
easat-3415	306	11	,	,	PUNCT
easat-3415	306	12	humaidi	humaidi	PROPN
easat-3415	306	13	,	,	PUNCT
easat-3415	306	14	a.j	a.j	PROPN
easat-3415	306	15	.	.	PROPN
easat-3415	306	16	et	et	PROPN
easat-3415	307	1	al	al	PROPN
easat-3415	307	2	.	.	PROPN
easat-3415	307	3	review	review	NOUN
easat-3415	307	4	of	of	ADP
easat-3415	307	5	deep	deep	ADJ
easat-3415	307	6	learning	learning	NOUN
easat-3415	307	7	:	:	PUNCT
easat-3415	308	1	concepts	concept	NOUN
easat-3415	308	2	,	,	PUNCT
easat-3415	308	3	cnn	cnn	PROPN
easat-3415	308	4	architectures	architecture	NOUN
easat-3415	308	5	,	,	PUNCT
easat-3415	308	6	challenges	challenge	NOUN
easat-3415	308	7	,	,	PUNCT
easat-3415	308	8	applications	application	NOUN
easat-3415	308	9	,	,	PUNCT
easat-3415	308	10	future	future	ADJ
easat-3415	308	11	directions	direction	NOUN
easat-3415	308	12	.	.	PUNCT
easat-3415	309	1	j	j	PROPN
easat-3415	309	2	big	big	ADJ
easat-3415	309	3	data	datum	NOUN
easat-3415	309	4	8	8	NUM
easat-3415	309	5	,	,	PUNCT
easat-3415	309	6	53	53	NUM
easat-3415	309	7	(	(	PUNCT
easat-3415	309	8	2021	2021	NUM
easat-3415	309	9	)	)	PUNCT
easat-3415	309	10	.	.	PUNCT
easat-3415	310	1	https://doi.org/10.1186/s40537-021-00444-8	https://doi.org/10.1186/s40537-021-00444-8	NOUN
easat-3415	311	1	[	[	X
easat-3415	311	2	17	17	NUM
easat-3415	311	3	]	]	X
easat-3415	311	4	wang	wang	PROPN
easat-3415	311	5	y	y	PROPN
easat-3415	311	6	,	,	PUNCT
easat-3415	311	7	liu	liu	PROPN
easat-3415	311	8	l	l	PROPN
easat-3415	311	9	,	,	PUNCT
easat-3415	311	10	wang	wang	PROPN
easat-3415	311	11	c.	c.	PROPN
easat-3415	311	12	trends	trend	NOUN
easat-3415	311	13	in	in	ADP
easat-3415	311	14	using	use	VERB
easat-3415	311	15	deep	deep	ADJ
easat-3415	311	16	learning	learning	NOUN
easat-3415	311	17	algorithms	algorithm	NOUN
easat-3415	311	18	in	in	ADP
easat-3415	311	19	biomedical	biomedical	ADJ
easat-3415	311	20	prediction	prediction	NOUN
easat-3415	311	21	systems	system	NOUN
easat-3415	311	22	.	.	PUNCT
easat-3415	312	1	front	front	ADJ
easat-3415	312	2	neurosci	neurosci	PROPN
easat-3415	312	3	.	.	PUNCT
easat-3415	313	1	2023	2023	NUM
easat-3415	313	2	nov	nov	NOUN
easat-3415	313	3	9;17:1256351	9;17:1256351	NOUN
easat-3415	313	4	.	.	PUNCT
easat-3415	314	1	doi	doi	NOUN
easat-3415	314	2	:	:	PUNCT
easat-3415	314	3	10.3389	10.3389	NUM
easat-3415	314	4	/	/	SYM
easat-3415	314	5	fnins.2023.1256351	fnins.2023.1256351	NOUN
easat-3415	314	6	.	.	PUNCT
easat-3415	315	1	pmid	pmid	NOUN
easat-3415	315	2	:	:	PUNCT
easat-3415	315	3	38027475	38027475	NUM
easat-3415	315	4	;	;	PUNCT
easat-3415	315	5	pmcid	pmcid	ADJ
easat-3415	315	6	:	:	PUNCT
easat-3415	315	7	pmc10665494	pmc10665494	NOUN
easat-3415	315	8	.	.	PUNCT
easat-3415	316	1	[	[	X
easat-3415	316	2	18	18	NUM
easat-3415	316	3	]	]	PUNCT
easat-3415	316	4	m.	m.	PROPN
easat-3415	316	5	r.	r.	PROPN
easat-3415	316	6	tanhatalab	tanhatalab	PROPN
easat-3415	316	7	,	,	PUNCT
easat-3415	316	8	h.	h.	PROPN
easat-3415	316	9	yousefi	yousefi	PROPN
easat-3415	316	10	,	,	PUNCT
easat-3415	316	11	h.	h.	PROPN
easat-3415	316	12	m.	m.	PROPN
easat-3415	316	13	hosseini	hosseini	PROPN
easat-3415	316	14	,	,	PUNCT
easat-3415	316	15	m.	m.	NOUN
easat-3415	316	16	m.	m.	PROPN
easat-3415	316	17	bonab	bonab	PROPN
easat-3415	316	18	,	,	PUNCT
easat-3415	316	19	v.	v.	ADP
easat-3415	316	20	fakharian	fakharian	PROPN
easat-3415	316	21	and	and	CCONJ
easat-3415	316	22	h.	h.	PROPN
easat-3415	316	23	abarghouei	abarghouei	PROPN
easat-3415	316	24	,	,	PUNCT
easat-3415	316	25	“	"	PUNCT
easat-3415	316	26	deep	deep	ADJ
easat-3415	316	27	ran	ran	NOUN
easat-3415	316	28	:	:	PUNCT
easat-3415	316	29	a	a	DET
easat-3415	316	30	scalable	scalable	ADJ
easat-3415	316	31	data	data	NOUN
easat-3415	316	32	-	-	PUNCT
easat-3415	316	33	driven	drive	VERB
easat-3415	316	34	platform	platform	NOUN
easat-3415	316	35	to	to	PART
easat-3415	316	36	detect	detect	VERB
easat-3415	316	37	anomalies	anomaly	NOUN
easat-3415	316	38	in	in	ADP
easat-3415	316	39	live	live	ADJ
easat-3415	316	40	cellular	cellular	ADJ
easat-3415	316	41	network	network	NOUN
easat-3415	316	42	using	use	VERB
easat-3415	316	43	recurrent	recurrent	ADJ
easat-3415	316	44	convolutional	convolutional	ADJ
easat-3415	316	45	neural	neural	ADJ
easat-3415	316	46	network	network	NOUN
easat-3415	316	47	,	,	PUNCT
easat-3415	316	48	”	"	PUNCT
easat-3415	316	49	in	in	ADP
easat-3415	316	50	2020	2020	NUM
easat-3415	316	51	ieee	ieee	NOUN
easat-3415	316	52	18th	18th	ADJ
easat-3415	316	53	world	world	NOUN
easat-3415	316	54	symposium	symposium	NOUN
easat-3415	316	55	on	on	ADP
easat-3415	316	56	applied	apply	VERB
easat-3415	316	57	machine	machine	NOUN
easat-3415	316	58	intelligence	intelligence	NOUN
easat-3415	316	59	and	and	CCONJ
easat-3415	316	60	informatics	informatics	PROPN
easat-3415	316	61	(	(	PUNCT
easat-3415	316	62	sami	sami	PROPN
easat-3415	316	63	)	)	PUNCT
easat-3415	316	64	,	,	PUNCT
easat-3415	316	65	herlany	herlany	PROPN
easat-3415	316	66	,	,	PUNCT
easat-3415	316	67	slovakia	slovakia	PROPN
easat-3415	316	68	,	,	PUNCT
easat-3415	316	69	2020	2020	NUM
easat-3415	316	70	,	,	PUNCT
easat-3415	316	71	pp.269–274	pp.269–274	NOUN
easat-3415	316	72	.	.	PUNCT
easat-3415	317	1	[	[	X
easat-3415	317	2	19	19	NUM
easat-3415	317	3	]	]	X
easat-3415	317	4	y.	y.	PROPN
easat-3415	317	5	wang	wang	PROPN
easat-3415	317	6	,	,	PUNCT
easat-3415	317	7	y.	y.	PROPN
easat-3415	317	8	guo	guo	PROPN
easat-3415	317	9	,	,	PUNCT
easat-3415	317	10	z.	z.	PROPN
easat-3415	317	11	wei	wei	PROPN
easat-3415	317	12	,	,	PUNCT
easat-3415	317	13	y.	y.	PROPN
easat-3415	317	14	huang	huang	PROPN
easat-3415	317	15	and	and	CCONJ
easat-3415	317	16	x.	x.	PROPN
easat-3415	317	17	liu	liu	PROPN
easat-3415	317	18	,	,	PUNCT
easat-3415	317	19	“	"	PUNCT
easat-3415	317	20	traffic	traffic	NOUN
easat-3415	317	21	flow	flow	NOUN
easat-3415	317	22	prediction	prediction	NOUN
easat-3415	317	23	based	base	VERB
easat-3415	317	24	on	on	ADP
easat-3415	317	25	deep	deep	ADJ
easat-3415	317	26	neural	neural	ADJ
easat-3415	317	27	networks	network	NOUN
easat-3415	317	28	,	,	PUNCT
easat-3415	317	29	”	"	PUNCT
easat-3415	317	30	in	in	ADP
easat-3415	317	31	2019	2019	NUM
easat-3415	317	32	international	international	ADJ
easat-3415	317	33	conference	conference	NOUN
easat-3415	317	34	on	on	ADP
easat-3415	317	35	data	datum	NOUN
easat-3415	317	36	mining	mining	NOUN
easat-3415	317	37	workshops	workshop	NOUN
easat-3415	317	38	(	(	PUNCT
easat-3415	317	39	icdmw	icdmw	PROPN
easat-3415	317	40	)	)	PUNCT
easat-3415	317	41	,	,	PUNCT
easat-3415	317	42	2019	2019	NUM
easat-3415	317	43	,	,	PUNCT
easat-3415	317	44	pp	pp	ADJ
easat-3415	317	45	.	.	PUNCT
easat-3415	318	1	210	210	NUM
easat-3415	318	2	-	-	SYM
easat-3415	318	3	215	215	NUM
easat-3415	318	4	[	[	SYM
easat-3415	318	5	20	20	NUM
easat-3415	318	6	]	]	PUNCT
easat-3415	318	7	a.	a.	NOUN
easat-3415	318	8	zappone	zappone	NOUN
easat-3415	318	9	,	,	PUNCT
easat-3415	318	10	m.	m.	NOUN
easat-3415	318	11	di	di	NOUN
easat-3415	318	12	renzo	renzo	PROPN
easat-3415	318	13	,	,	PUNCT
easat-3415	318	14	m.	m.	NOUN
easat-3415	318	15	debbah	debbah	PROPN
easat-3415	318	16	,	,	PUNCT
easat-3415	318	17	t.	t.	PROPN
easat-3415	318	18	t.	t.	PROPN
easat-3415	318	19	lam	lam	PROPN
easat-3415	318	20	,	,	PUNCT
easat-3415	318	21	and	and	CCONJ
easat-3415	318	22	x.	x.	PROPN
easat-3415	318	23	qian	qian	PROPN
easat-3415	318	24	,	,	PUNCT
easat-3415	318	25	‘	'	PUNCT
easat-3415	318	26	‘	'	PUNCT
easat-3415	318	27	model	model	NOUN
easat-3415	318	28	-	-	PUNCT
easat-3415	318	29	aided	aid	VERB
easat-3415	318	30	wireless	wireless	ADJ
easat-3415	318	31	artificial	artificial	ADJ
easat-3415	318	32	intelligence	intelligence	NOUN
easat-3415	318	33	:	:	PUNCT
easat-3415	318	34	embedding	embed	VERB
easat-3415	318	35	expert	expert	ADJ
easat-3415	318	36	knowledge	knowledge	NOUN
easat-3415	318	37	in	in	ADP
easat-3415	318	38	deep	deep	ADJ
easat-3415	318	39	neural	neural	ADJ
easat-3415	318	40	networks	network	NOUN
easat-3415	318	41	for	for	ADP
easat-3415	318	42	wireless	wireless	ADJ
easat-3415	318	43	system	system	NOUN
easat-3415	318	44	optimization	optimization	NOUN
easat-3415	318	45	,	,	PUNCT
easat-3415	318	46	’’	’'	PUNCT
easat-3415	318	47	ieee	ieee	PROPN
easat-3415	318	48	veh	veh	PROPN
easat-3415	318	49	.	.	PROPN
easat-3415	318	50	technol	technol	PROPN
easat-3415	318	51	.	.	PUNCT
easat-3415	319	1	mag	mag	PROPN
easat-3415	319	2	.	.	PUNCT
easat-3415	320	1	,	,	PUNCT
easat-3415	320	2	vol	vol	NOUN
easat-3415	320	3	.	.	PROPN
easat-3415	321	1	14	14	NUM
easat-3415	321	2	,	,	PUNCT
easat-3415	321	3	no	no	INTJ
easat-3415	321	4	.	.	NOUN
easat-3415	321	5	3	3	NUM
easat-3415	321	6	,	,	PUNCT
easat-3415	321	7	pp	pp	ADJ
easat-3415	321	8	.	.	PUNCT
easat-3415	322	1	60–69	60–69	NUM
easat-3415	322	2	,	,	PUNCT
easat-3415	322	3	sep	sep	PROPN
easat-3415	322	4	.	.	PROPN
easat-3415	322	5	2019	2019	NUM
easat-3415	322	6	,	,	PUNCT
easat-3415	322	7	doi	doi	NOUN
easat-3415	322	8	:	:	PUNCT
easat-3415	322	9	10.1109	10.1109	NUM
easat-3415	322	10	/	/	SYM
easat-3415	322	11	mvt.2019.2921627	mvt.2019.2921627	NOUN
easat-3415	322	12	.	.	PUNCT
easat-3415	323	1	[	[	X
easat-3415	323	2	21	21	NUM
easat-3415	323	3	]	]	X
easat-3415	323	4	n.	n.	PROPN
easat-3415	323	5	moraitis	moraitis	PROPN
easat-3415	323	6	,	,	PUNCT
easat-3415	323	7	l.	l.	PROPN
easat-3415	323	8	tsipi	tsipi	PROPN
easat-3415	323	9	and	and	CCONJ
easat-3415	323	10	d.	d.	PROPN
easat-3415	323	11	vouyioukas	vouyioukas	PROPN
easat-3415	323	12	,	,	PUNCT
easat-3415	323	13	"	"	PUNCT
easat-3415	323	14	machine	machine	NOUN
easat-3415	323	15	learning	learning	NOUN
easat-3415	323	16	-	-	PUNCT
easat-3415	323	17	based	base	VERB
easat-3415	323	18	methods	method	NOUN
easat-3415	323	19	for	for	ADP
easat-3415	323	20	path	path	NOUN
easat-3415	323	21	loss	loss	NOUN
easat-3415	323	22	prediction	prediction	NOUN
easat-3415	323	23	in	in	ADP
easat-3415	323	24	urban	urban	ADJ
easat-3415	323	25	environment	environment	NOUN
easat-3415	323	26	for	for	ADP
easat-3415	323	27	lte	lte	PROPN
easat-3415	323	28	networks	network	NOUN
easat-3415	323	29	,	,	PUNCT
easat-3415	323	30	"	"	PUNCT
easat-3415	323	31	in	in	ADP
easat-3415	323	32	2020	2020	NUM
easat-3415	323	33	16th	16th	ADJ
easat-3415	323	34	international	international	ADJ
easat-3415	323	35	conference	conference	NOUN
easat-3415	323	36	on	on	ADP
easat-3415	323	37	wireless	wireless	ADJ
easat-3415	323	38	and	and	CCONJ
easat-3415	323	39	mobile	mobile	ADJ
easat-3415	323	40	computing	computing	NOUN
easat-3415	323	41	,	,	PUNCT
easat-3415	323	42	networking	networking	NOUN
easat-3415	323	43	and	and	CCONJ
easat-3415	323	44	communications	communication	NOUN
easat-3415	323	45	(	(	PUNCT
easat-3415	323	46	wimob	wimob	NOUN
easat-3415	323	47	)	)	PUNCT
easat-3415	323	48	,	,	PUNCT
easat-3415	323	49	thessaloniki	thessaloniki	PROPN
easat-3415	323	50	,	,	PUNCT
easat-3415	323	51	greece	greece	PROPN
easat-3415	323	52	,	,	PUNCT
easat-3415	323	53	2020	2020	NUM
easat-3415	323	54	,	,	PUNCT
easat-3415	323	55	pp	pp	ADV
easat-3415	323	56	.	.	PUNCT
easat-3415	324	1	1	1	NUM
easat-3415	324	2	-	-	SYM
easat-3415	324	3	6	6	NUM
easat-3415	324	4	,	,	PUNCT
easat-3415	324	5	doi	doi	NOUN
easat-3415	324	6	:	:	PUNCT
easat-3415	324	7	10.1109	10.1109	NUM
easat-3415	324	8	/	/	SYM
easat-3415	324	9	wimob50308.2020.9253369	wimob50308.2020.9253369	PROPN
easat-3415	324	10	.	.	PUNCT
easat-3415	325	1	[	[	X
easat-3415	325	2	22	22	NUM
easat-3415	325	3	]	]	X
easat-3415	325	4	h.	h.	PROPN
easat-3415	325	5	singh	singh	PROPN
easat-3415	325	6	,	,	PUNCT
easat-3415	325	7	s.	s.	PROPN
easat-3415	325	8	gupta	gupta	PROPN
easat-3415	325	9	,	,	PUNCT
easat-3415	325	10	c.	c.	PROPN
easat-3415	325	11	dhawan	dhawan	PROPN
easat-3415	325	12	and	and	CCONJ
easat-3415	325	13	a.	a.	PROPN
easat-3415	325	14	mishra	mishra	PROPN
easat-3415	325	15	,	,	PUNCT
easat-3415	325	16	"	"	PUNCT
easat-3415	325	17	path	path	NOUN
easat-3415	325	18	loss	loss	NOUN
easat-3415	325	19	prediction	prediction	NOUN
easat-3415	325	20	in	in	ADP
easat-3415	325	21	smart	smart	ADJ
easat-3415	325	22	campus	campus	NOUN
easat-3415	325	23	environment	environment	NOUN
easat-3415	325	24	:	:	PUNCT
easat-3415	325	25	machine	machine	NOUN
easat-3415	325	26	learning	learning	NOUN
easat-3415	325	27	-	-	PUNCT
easat-3415	325	28	based	base	VERB
easat-3415	325	29	approaches	approach	NOUN
easat-3415	325	30	,	,	PUNCT
easat-3415	325	31	"	"	PUNCT
easat-3415	325	32	in	in	ADP
easat-3415	325	33	2020	2020	NUM
easat-3415	325	34	ieee	ieee	NOUN
easat-3415	325	35	91st	91st	ADJ
easat-3415	325	36	vehicular	vehicular	ADJ
easat-3415	325	37	technology	technology	NOUN
easat-3415	325	38	conference	conference	NOUN
easat-3415	325	39	(	(	PUNCT
easat-3415	325	40	vtc2020	vtc2020	NOUN
easat-3415	325	41	-	-	PUNCT
easat-3415	325	42	spring	spring	NOUN
easat-3415	325	43	)	)	PUNCT
easat-3415	325	44	,	,	PUNCT
easat-3415	325	45	antwerp	antwerp	PROPN
easat-3415	325	46	,	,	PUNCT
easat-3415	325	47	belgium	belgium	PROPN
easat-3415	325	48	,	,	PUNCT
easat-3415	325	49	2020	2020	NUM
easat-3415	325	50	,	,	PUNCT
easat-3415	325	51	pp	pp	ADV
easat-3415	325	52	.	.	PUNCT
easat-3415	325	53	1	1	NUM
easat-3415	325	54	-	-	SYM
easat-3415	325	55	5	5	NUM
easat-3415	325	56	,	,	PUNCT
easat-3415	325	57	doi	doi	NOUN
easat-3415	325	58	:	:	PUNCT
easat-3415	325	59	10.1109	10.1109	NUM
easat-3415	325	60	/	/	SYM
easat-3415	325	61	vtc2020	vtc2020	NOUN
easat-3415	325	62	-	-	PUNCT
easat-3415	325	63	spring48590.2020.9129444	spring48590.2020.9129444	NOUN
easat-3415	325	64	.	.	PUNCT
easat-3415	326	1	[	[	X
easat-3415	326	2	23	23	NUM
easat-3415	326	3	]	]	PUNCT
easat-3415	326	4	s.	s.	PROPN
easat-3415	326	5	ojo	ojo	PROPN
easat-3415	326	6	,	,	PUNCT
easat-3415	326	7	a.	a.	NOUN
easat-3415	326	8	imoize	imoize	NOUN
easat-3415	326	9	,	,	PUNCT
easat-3415	326	10	and	and	CCONJ
easat-3415	326	11	d.	d.	PROPN
easat-3415	326	12	alienyi	alienyi	PROPN
easat-3415	326	13	,	,	PUNCT
easat-3415	326	14	“	"	PUNCT
easat-3415	326	15	radial	radial	ADJ
easat-3415	326	16	basis	basis	NOUN
easat-3415	326	17	function	function	NOUN
easat-3415	326	18	neural	neural	ADJ
easat-3415	326	19	network	network	NOUN
easat-3415	326	20	path	path	PROPN
easat-3415	326	21	loss	loss	NOUN
easat-3415	326	22	prediction	prediction	NOUN
easat-3415	326	23	model	model	NOUN
easat-3415	326	24	for	for	ADP
easat-3415	326	25	lte	lte	PROPN
easat-3415	326	26	networks	network	NOUN
easat-3415	326	27	in	in	ADP
easat-3415	326	28	multi	multi	ADJ
easat-3415	326	29	-	-	ADJ
easat-3415	326	30	transmitter	transmitter	ADJ
easat-3415	326	31	signal	signal	NOUN
easat-3415	326	32	propagation	propagation	NOUN
easat-3415	326	33	environments	environment	NOUN
easat-3415	326	34	,	,	PUNCT
easat-3415	326	35	”	"	PUNCT
easat-3415	326	36	int	int	NOUN
easat-3415	326	37	.	.	PUNCT
easat-3415	327	1	j.	j.	PROPN
easat-3415	327	2	commun	commun	PROPN
easat-3415	327	3	.	.	PUNCT
easat-3415	328	1	syst	syst	PROPN
easat-3415	328	2	.	.	PUNCT
easat-3415	328	3	,	,	PUNCT
easat-3415	328	4	vol	vol	NOUN
easat-3415	328	5	.	.	PROPN
easat-3415	329	1	34	34	NUM
easat-3415	329	2	,	,	PUNCT
easat-3415	329	3	no	no	INTJ
easat-3415	329	4	.	.	NOUN
easat-3415	329	5	3	3	NUM
easat-3415	329	6	,	,	PUNCT
easat-3415	329	7	pp	pp	ADJ
easat-3415	329	8	.	.	PUNCT
easat-3415	330	1	1–26	1–26	PROPN
easat-3415	330	2	,	,	PUNCT
easat-3415	330	3	feb	feb	PROPN
easat-3415	330	4	.	.	PROPN
easat-3415	330	5	2021	2021	NUM
easat-3415	330	6	,	,	PUNCT
easat-3415	330	7	doi	doi	NOUN
easat-3415	330	8	:	:	PUNCT
easat-3415	330	9	10.1002	10.1002	NUM
easat-3415	330	10	/	/	SYM
easat-3415	330	11	dac.4680	dac.4680	NOUN
easat-3415	330	12	.	.	PUNCT
easat-3415	331	1	[	[	X
easat-3415	331	2	24	24	NUM
easat-3415	331	3	]	]	X
easat-3415	331	4	s.	s.	PROPN
easat-3415	331	5	aldossari	aldossari	PROPN
easat-3415	331	6	and	and	CCONJ
easat-3415	331	7	k.-c	k.-c	PROPN
easat-3415	331	8	.	.	PUNCT
easat-3415	332	1	chen	chen	PROPN
easat-3415	332	2	,	,	PUNCT
easat-3415	332	3	‘	'	PUNCT
easat-3415	332	4	‘	'	PUNCT
easat-3415	332	5	predicting	predict	VERB
easat-3415	332	6	the	the	DET
easat-3415	332	7	path	path	NOUN
easat-3415	332	8	loss	loss	NOUN
easat-3415	332	9	of	of	ADP
easat-3415	332	10	wireless	wireless	ADJ
easat-3415	332	11	channel	channel	NOUN
easat-3415	332	12	models	model	NOUN
easat-3415	332	13	using	use	VERB
easat-3415	332	14	machine	machine	NOUN
easat-3415	332	15	learning	learn	VERB
easat-3415	332	16	techniques	technique	NOUN
easat-3415	332	17	in	in	ADP
easat-3415	332	18	mmwave	mmwave	PROPN
easat-3415	332	19	urban	urban	ADJ
easat-3415	332	20	communications	communication	NOUN
easat-3415	332	21	,	,	PUNCT
easat-3415	332	22	”	"	PUNCT
easat-3415	332	23	in	in	ADP
easat-3415	332	24	proc	proc	NOUN
easat-3415	332	25	.	.	PUNCT
easat-3415	333	1	22nd	22nd	ADJ
easat-3415	333	2	int	int	NOUN
easat-3415	333	3	.	.	PUNCT
easat-3415	334	1	symp	symp	PROPN
easat-3415	334	2	.	.	PUNCT
easat-3415	335	1	wireless	wireless	ADJ
easat-3415	335	2	pers	per	NOUN
easat-3415	335	3	.	.	PUNCT
easat-3415	336	1	multimedia	multimedia	PROPN
easat-3415	336	2	commun	commun	PROPN
easat-3415	336	3	.	.	PUNCT
easat-3415	337	1	(	(	PUNCT
easat-3415	337	2	wpmc	wpmc	NOUN
easat-3415	337	3	)	)	PUNCT
easat-3415	337	4	,	,	PUNCT
easat-3415	337	5	nov	nov	PROPN
easat-3415	337	6	.	.	PROPN
easat-3415	337	7	2019	2019	NUM
easat-3415	337	8	,	,	PUNCT
easat-3415	337	9	pp	pp	ADJ
easat-3415	337	10	.	.	PUNCT
easat-3415	338	1	1–6	1–6	NUM
easat-3415	338	2	,	,	PUNCT
easat-3415	338	3	doi	doi	NOUN
easat-3415	338	4	:	:	PUNCT
easat-3415	338	5	10.1109	10.1109	NUM
easat-3415	338	6	/	/	SYM
easat-3415	338	7	wpmc48795.2019	wpmc48795.2019	PROPN
easat-3415	338	8	.	.	NOUN
easat-3415	338	9	9096057	9096057	NUM
easat-3415	338	10	.	.	PUNCT
easat-3415	339	1	[	[	X
easat-3415	339	2	25	25	NUM
easat-3415	339	3	]	]	PUNCT
easat-3415	339	4	i.	i.	PROPN
easat-3415	339	5	s.	s.	PROPN
easat-3415	339	6	popool	popool	PROPN
easat-3415	339	7	,	,	PUNCT
easat-3415	339	8	s.	s.	PROPN
easat-3415	339	9	misra	misra	PROPN
easat-3415	339	10	,	,	PUNCT
easat-3415	339	11	and	and	CCONJ
easat-3415	339	12	a.	a.	NOUN
easat-3415	339	13	a.	a.	NOUN
easat-3415	339	14	atayero	atayero	PROPN
easat-3415	339	15	,	,	PUNCT
easat-3415	339	16	“	"	PUNCT
easat-3415	339	17	outdoor	outdoor	ADJ
easat-3415	339	18	path	path	NOUN
easat-3415	339	19	loss	loss	NOUN
easat-3415	339	20	predictions	prediction	NOUN
easat-3415	339	21	based	base	VERB
easat-3415	339	22	on	on	ADP
easat-3415	339	23	extreme	extreme	ADJ
easat-3415	339	24	learning	learning	NOUN
easat-3415	339	25	machine	machine	NOUN
easat-3415	339	26	,	,	PUNCT
easat-3415	339	27	”	"	PUNCT
easat-3415	339	28	wireless	wireless	ADJ
easat-3415	339	29	pers	per	NOUN
easat-3415	339	30	.	.	PUNCT
easat-3415	340	1	commun	commun	PROPN
easat-3415	340	2	.	.	PROPN
easat-3415	340	3	,	,	PUNCT
easat-3415	340	4	vol	vol	NOUN
easat-3415	340	5	.	.	PROPN
easat-3415	341	1	99	99	NUM
easat-3415	341	2	,	,	PUNCT
easat-3415	341	3	no	no	INTJ
easat-3415	341	4	.	.	NOUN
easat-3415	341	5	1	1	NUM
easat-3415	341	6	,	,	PUNCT
easat-3415	341	7	pp	pp	ADJ
easat-3415	341	8	.	.	PUNCT
easat-3415	342	1	441–460	441–460	NUM
easat-3415	342	2	,	,	PUNCT
easat-3415	342	3	mar	mar	PROPN
easat-3415	342	4	.	.	PROPN
easat-3415	342	5	2018	2018	NUM
easat-3415	342	6	,	,	PUNCT
easat-3415	342	7	doi	doi	NOUN
easat-3415	342	8	:	:	PUNCT
easat-3415	342	9	10.1007	10.1007	NUM
easat-3415	342	10	/	/	SYM
easat-3415	342	11	s11277	s11277	NOUN
easat-3415	342	12	-	-	PUNCT
easat-3415	342	13	017	017	NUM
easat-3415	342	14	-	-	PUNCT
easat-3415	342	15	5119	5119	NUM
easat-3415	342	16	-	-	PUNCT
easat-3415	342	17	x.	x.	NOUN
easat-3415	342	18	https://doi.org/10.1186/s40537-021-00444-8	https://doi.org/10.1186/s40537-021-00444-8	PROPN
easat-3415	342	19	6643	6643	NUM
easat-3415	342	20	edelweiss	edelweiss	PROPN
easat-3415	342	21	applied	apply	VERB
easat-3415	342	22	science	science	NOUN
easat-3415	342	23	and	and	CCONJ
easat-3415	342	24	technology	technology	NOUN
easat-3415	342	25	issn	issn	PROPN
easat-3415	342	26	:	:	PUNCT
easat-3415	342	27	2576	2576	NUM
easat-3415	342	28	-	-	SYM
easat-3415	342	29	8484	8484	NUM
easat-3415	342	30	vol	vol	NOUN
easat-3415	342	31	.	.	PROPN
easat-3415	342	32	8	8	NUM
easat-3415	342	33	,	,	PUNCT
easat-3415	342	34	no	no	INTJ
easat-3415	342	35	.	.	NOUN
easat-3415	343	1	6	6	NUM
easat-3415	343	2	:	:	SYM
easat-3415	343	3	6625	6625	NUM
easat-3415	343	4	-	-	SYM
easat-3415	343	5	6643	6643	NUM
easat-3415	343	6	,	,	PUNCT
easat-3415	343	7	2024	2024	NUM
easat-3415	343	8	doi	doi	NOUN
easat-3415	343	9	:	:	PUNCT
easat-3415	343	10	10.55214/25768484.v8i6.3415	10.55214/25768484.v8i6.3415	NUM
easat-3415	343	11	©	©	PROPN
easat-3415	343	12	2024	2024	NUM
easat-3415	343	13	by	by	ADP
easat-3415	343	14	the	the	DET
easat-3415	343	15	author	author	NOUN
easat-3415	343	16	;	;	PUNCT
easat-3415	343	17	licensee	licensee	PROPN
easat-3415	343	18	learning	learning	NOUN
easat-3415	343	19	gate	gate	NOUN
easat-3415	344	1	[	[	X
easat-3415	344	2	26	26	NUM
easat-3415	344	3	]	]	PUNCT
easat-3415	344	4	r.	r.	PROPN
easat-3415	344	5	he	he	PRON
easat-3415	344	6	,	,	PUNCT
easat-3415	344	7	y.	y.	PROPN
easat-3415	344	8	gong	gong	PROPN
easat-3415	344	9	,	,	PUNCT
easat-3415	344	10	w.	w.	PROPN
easat-3415	344	11	bai	bai	PROPN
easat-3415	344	12	,	,	PUNCT
easat-3415	344	13	y.	y.	PROPN
easat-3415	344	14	li	li	PROPN
easat-3415	344	15	,	,	PUNCT
easat-3415	344	16	and	and	CCONJ
easat-3415	344	17	x.	x.	PROPN
easat-3415	344	18	wang	wang	PROPN
easat-3415	344	19	,	,	PUNCT
easat-3415	344	20	‘	'	PUNCT
easat-3415	344	21	‘	'	PUNCT
easat-3415	344	22	random	random	ADJ
easat-3415	344	23	forests	forest	NOUN
easat-3415	344	24	-	-	PUNCT
easat-3415	344	25	based	base	VERB
easat-3415	344	26	path	path	NOUN
easat-3415	344	27	loss	loss	NOUN
easat-3415	344	28	prediction	prediction	NOUN
easat-3415	344	29	in	in	ADP
easat-3415	344	30	mobile	mobile	ADJ
easat-3415	344	31	communication	communication	NOUN
easat-3415	344	32	systems	system	NOUN
easat-3415	344	33	,	,	PUNCT
easat-3415	344	34	’’	’'	PUNCT
easat-3415	344	35	in	in	ADP
easat-3415	344	36	proc	proc	NOUN
easat-3415	344	37	.	.	PUNCT
easat-3415	345	1	ieee	ieee	PROPN
easat-3415	345	2	6th	6th	ADJ
easat-3415	345	3	int	int	PROPN
easat-3415	345	4	.	.	PUNCT
easat-3415	345	5	conf	conf	NOUN
easat-3415	345	6	.	.	PUNCT
easat-3415	346	1	comput	comput	NOUN
easat-3415	346	2	.	.	PUNCT
easat-3415	347	1	commun	commun	PROPN
easat-3415	347	2	.	.	PUNCT
easat-3415	348	1	(	(	PUNCT
easat-3415	348	2	iccc	iccc	PROPN
easat-3415	348	3	)	)	PUNCT
easat-3415	348	4	,	,	PUNCT
easat-3415	348	5	dec	dec	PROPN
easat-3415	348	6	.	.	PROPN
easat-3415	348	7	2020	2020	NUM
easat-3415	348	8	,	,	PUNCT
easat-3415	348	9	pp	pp	ADJ
easat-3415	348	10	.	.	PUNCT
easat-3415	349	1	1246–1250	1246–1250	NUM
easat-3415	349	2	,	,	PUNCT
easat-3415	349	3	doi	doi	NOUN
easat-3415	349	4	:	:	PUNCT
easat-3415	349	5	10.1109	10.1109	NUM
easat-3415	349	6	/	/	SYM
easat-3415	349	7	iccc51575.2020.9344905	iccc51575.2020.9344905	VERB
easat-3415	349	8	.	.	PUNCT
easat-3415	350	1	[	[	X
easat-3415	350	2	27	27	NUM
easat-3415	350	3	]	]	X
easat-3415	350	4	c.	c.	PROPN
easat-3415	350	5	m.	m.	PROPN
easat-3415	350	6	nawej	nawej	PROPN
easat-3415	350	7	,	,	PUNCT
easat-3415	350	8	p.	p.	NOUN
easat-3415	350	9	a.	a.	NOUN
easat-3415	350	10	owolawi	owolawi	PROPN
easat-3415	350	11	,	,	PUNCT
easat-3415	350	12	t.	t.	NOUN
easat-3415	350	13	walingo	walingo	NOUN
easat-3415	350	14	,	,	PUNCT
easat-3415	350	15	“	"	PUNCT
easat-3415	350	16	towards	towards	ADP
easat-3415	350	17	a	a	DET
easat-3415	350	18	realistic	realistic	ADJ
easat-3415	350	19	comparative	comparative	ADJ
easat-3415	350	20	analysis	analysis	NOUN
easat-3415	350	21	of	of	ADP
easat-3415	350	22	recurrent	recurrent	ADJ
easat-3415	350	23	neural	neural	ADJ
easat-3415	350	24	network	network	NOUN
easat-3415	350	25	’s	’s	PART
easat-3415	350	26	methods	method	NOUN
easat-3415	350	27	via	via	ADP
easat-3415	350	28	long	long	ADJ
easat-3415	350	29	-	-	PUNCT
easat-3415	350	30	term	term	NOUN
easat-3415	350	31	memory	memory	NOUN
easat-3415	350	32	approaches	approach	NOUN
easat-3415	350	33	,	,	PUNCT
easat-3415	350	34	”	"	PUNCT
easat-3415	350	35	in	in	ADP
easat-3415	350	36	book	book	NOUN
easat-3415	350	37	title	title	NOUN
easat-3415	350	38	,	,	PUNCT
easat-3415	350	39	edition	edition	NOUN
easat-3415	350	40	(	(	PUNCT
easat-3415	350	41	if	if	SCONJ
easat-3415	350	42	not	not	PART
easat-3415	350	43	first	first	ADJ
easat-3415	350	44	)	)	PUNCT
easat-3415	350	45	,	,	PUNCT
easat-3415	350	46	editor	editor	NOUN
easat-3415	350	47	’s	’s	PART
easat-3415	350	48	initials	initial	NOUN
easat-3415	350	49	.	.	PUNCT
easat-3415	351	1	editor	editor	NOUN
easat-3415	351	2	’s	’s	PART
easat-3415	351	3	surname	surname	NOUN
easat-3415	351	4	,	,	PUNCT
easat-3415	351	5	ed	ed	NOUN
easat-3415	351	6	.	.	NOUN
easat-3415	351	7	place	place	NOUN
easat-3415	351	8	of	of	ADP
easat-3415	351	9	publication	publication	NOUN
easat-3415	351	10	:	:	PUNCT
easat-3415	351	11	publisher	publisher	NOUN
easat-3415	351	12	,	,	PUNCT
easat-3415	351	13	year	year	NOUN
easat-3415	351	14	,	,	PUNCT
easat-3415	351	15	page	page	NOUN
easat-3415	351	16	numbers	number	NOUN
easat-3415	351	17	.	.	PUNCT
easat-3415	352	1	[	[	X
easat-3415	352	2	28	28	NUM
easat-3415	352	3	]	]	X
easat-3415	352	4	s.	s.	PROPN
easat-3415	352	5	hochreiter	hochreiter	PROPN
easat-3415	352	6	and	and	CCONJ
easat-3415	352	7	j.	j.	PROPN
easat-3415	352	8	schmidhuber	schmidhuber	PROPN
easat-3415	352	9	,	,	PUNCT
easat-3415	352	10	“	"	PUNCT
easat-3415	352	11	long	long	ADJ
easat-3415	352	12	short	short	ADJ
easat-3415	352	13	-	-	PUNCT
easat-3415	352	14	term	term	NOUN
easat-3415	352	15	memory	memory	NOUN
easat-3415	352	16	,	,	PUNCT
easat-3415	352	17	”	"	PUNCT
easat-3415	352	18	neural	neural	ADJ
easat-3415	352	19	computation	computation	NOUN
easat-3415	352	20	,	,	PUNCT
easat-3415	352	21	vol	vol	NOUN
easat-3415	352	22	.	.	PROPN
easat-3415	352	23	9	9	NUM
easat-3415	352	24	,	,	PUNCT
easat-3415	352	25	no	no	INTJ
easat-3415	352	26	.	.	NOUN
easat-3415	352	27	8	8	NUM
easat-3415	352	28	,	,	PUNCT
easat-3415	352	29	pp	pp	ADJ
easat-3415	352	30	.	.	PUNCT
easat-3415	352	31	1735–1780	1735–1780	NUM
easat-3415	352	32	,	,	PUNCT
easat-3415	352	33	1997	1997	NUM
easat-3415	352	34	[	[	X
easat-3415	352	35	29	29	NUM
easat-3415	352	36	]	]	PUNCT
easat-3415	352	37	t.	t.	PROPN
easat-3415	352	38	e.	e.	PROPN
easat-3415	352	39	oliphant	oliphant	PROPN
easat-3415	352	40	,	,	PUNCT
easat-3415	352	41	a	a	DET
easat-3415	352	42	guide	guide	NOUN
easat-3415	352	43	to	to	ADP
easat-3415	352	44	numpy	numpy	NOUN
easat-3415	352	45	(	(	PUNCT
easat-3415	352	46	vol	vol	NOUN
easat-3415	352	47	.	.	NOUN
easat-3415	352	48	1	1	NUM
easat-3415	352	49	)	)	PUNCT
easat-3415	352	50	.	.	PUNCT
easat-3415	353	1	trelgol	trelgol	ADJ
easat-3415	353	2	publishing	publishing	PROPN
easat-3415	353	3	,	,	PUNCT
easat-3415	353	4	usa	usa	PROPN
easat-3415	353	5	,	,	PUNCT
easat-3415	353	6	2006	2006	NUM
easat-3415	353	7	.	.	PUNCT
easat-3415	354	1	[	[	X
easat-3415	354	2	30	30	NUM
easat-3415	354	3	]	]	X
easat-3415	354	4	w.	w.	PROPN
easat-3415	354	5	mckinney	mckinney	PROPN
easat-3415	354	6	,	,	PUNCT
easat-3415	354	7	“	"	PUNCT
easat-3415	354	8	data	data	NOUN
easat-3415	354	9	structures	structure	NOUN
easat-3415	354	10	for	for	ADP
easat-3415	354	11	statistical	statistical	ADJ
easat-3415	354	12	computing	computing	NOUN
easat-3415	354	13	in	in	ADP
easat-3415	354	14	python	python	PROPN
easat-3415	354	15	,	,	PUNCT
easat-3415	354	16	”	"	PUNCT
easat-3415	354	17	proc	proc	NOUN
easat-3415	354	18	.	.	PUNCT
easat-3415	354	19	of	of	ADP
easat-3415	354	20	the	the	DET
easat-3415	354	21	9th	9th	ADJ
easat-3415	354	22	python	python	NOUN
easat-3415	354	23	in	in	ADP
easat-3415	354	24	science	science	NOUN
easat-3415	354	25	conf	conf	NOUN
easat-3415	354	26	.	.	PUNCT
easat-3415	354	27	,	,	PUNCT
easat-3415	354	28	vol	vol	NOUN
easat-3415	354	29	.	.	PROPN
easat-3415	354	30	445	445	NUM
easat-3415	354	31	,	,	PUNCT
easat-3415	354	32	pp	pp	ADJ
easat-3415	354	33	.	.	PUNCT
easat-3415	355	1	51–56	51–56	NUM
easat-3415	355	2	.	.	PUNCT
easat-3415	355	3	,	,	PUNCT
easat-3415	355	4	2010	2010	NUM
easat-3415	355	5	.	.	PUNCT
easat-3415	356	1	[	[	X
easat-3415	356	2	31	31	NUM
easat-3415	356	3	]	]	PUNCT
easat-3415	356	4	j.	j.	PROPN
easat-3415	356	5	d.	d.	PROPN
easat-3415	356	6	hunter	hunter	PROPN
easat-3415	356	7	,	,	PUNCT
easat-3415	356	8	“	"	PUNCT
easat-3415	356	9	matplotlib	matplotlib	PROPN
easat-3415	356	10	:	:	PUNCT
easat-3415	356	11	a	a	DET
easat-3415	356	12	2d	2d	NUM
easat-3415	356	13	graphics	graphic	NOUN
easat-3415	356	14	environment	environment	NOUN
easat-3415	356	15	,	,	PUNCT
easat-3415	356	16	”	"	PUNCT
easat-3415	356	17	in	in	ADP
easat-3415	356	18	computing	compute	VERB
easat-3415	356	19	in	in	ADP
easat-3415	356	20	science	science	PROPN
easat-3415	356	21	&	&	CCONJ
easat-3415	356	22	engineering	engineering	PROPN
easat-3415	356	23	,	,	PUNCT
easat-3415	356	24	vol	vol	NOUN
easat-3415	356	25	.	.	PROPN
easat-3415	356	26	9	9	NUM
easat-3415	356	27	,	,	PUNCT
easat-3415	356	28	no.3	no.3	VERB
easat-3415	356	29	,	,	PUNCT
easat-3415	356	30	pp	pp	X
easat-3415	356	31	.	.	PUNCT
easat-3415	357	1	90–95	90–95	NUM
easat-3415	357	2	,	,	PUNCT
easat-3415	357	3	may	may	PROPN
easat-3415	357	4	-	-	PUNCT
easat-3415	357	5	june	june	PROPN
easat-3415	357	6	2007	2007	NUM
easat-3415	357	7	.	.	PUNCT
easat-3415	358	1	[	[	X
easat-3415	358	2	32	32	NUM
easat-3415	358	3	]	]	PUNCT
easat-3415	358	4	a.	a.	NOUN
easat-3415	358	5	lavanya	lavanya	NOUN
easat-3415	358	6	,	,	PUNCT
easat-3415	358	7	s.	s.	PROPN
easat-3415	358	8	sindhuja	sindhuja	PROPN
easat-3415	358	9	,	,	PUNCT
easat-3415	358	10	l.	l.	PROPN
easat-3415	358	11	gaurav	gaurav	PROPN
easat-3415	358	12	and	and	CCONJ
easat-3415	358	13	w.	w.	PROPN
easat-3415	358	14	ali	ali	PROPN
easat-3415	358	15	,	,	PUNCT
easat-3415	358	16	“	"	PUNCT
easat-3415	358	17	a	a	DET
easat-3415	358	18	comprehensive	comprehensive	ADJ
easat-3415	358	19	review	review	NOUN
easat-3415	358	20	of	of	ADP
easat-3415	358	21	data	datum	NOUN
easat-3415	358	22	visualization	visualization	NOUN
easat-3415	358	23	tools	tool	NOUN
easat-3415	358	24	:	:	PUNCT
easat-3415	358	25	features	feature	NOUN
easat-3415	358	26	,	,	PUNCT
easat-3415	358	27	strengths	strength	NOUN
easat-3415	358	28	,	,	PUNCT
easat-3415	358	29	and	and	CCONJ
easat-3415	358	30	weaknesses	weakness	NOUN
easat-3415	358	31	,	,	PUNCT
easat-3415	358	32	”	"	PUNCT
easat-3415	358	33	int	int	NOUN
easat-3415	358	34	.	.	PUNCT
easat-3415	359	1	j.	j.	PROPN
easat-3415	359	2	comput	comput	PROPN
easat-3415	359	3	.	.	PUNCT
easat-3415	360	1	eng	eng	PROPN
easat-3415	360	2	.	.	PUNCT
easat-3415	361	1	res	re	NOUN
easat-3415	361	2	.	.	PUNCT
easat-3415	362	1	trends	trend	NOUN
easat-3415	362	2	,	,	PUNCT
easat-3415	362	3	vol	vol	NOUN
easat-3415	362	4	.	.	PROPN
easat-3415	363	1	10	10	NUM
easat-3415	363	2	,	,	PUNCT
easat-3415	363	3	no	no	INTJ
easat-3415	363	4	.	.	NOUN
easat-3415	363	5	01	01	NUM
easat-3415	363	6	,	,	PUNCT
easat-3415	363	7	pp.10	pp.10	NOUN
easat-3415	363	8	-	-	PUNCT
easat-3415	363	9	20	20	NUM
easat-3415	363	10	,	,	PUNCT
easat-3415	363	11	2023	2023	NUM
easat-3415	363	12	[	[	X
easat-3415	363	13	33	33	NUM
easat-3415	363	14	]	]	PUNCT
easat-3415	363	15	f.	f.	PROPN
easat-3415	363	16	pedregosa	pedregosa	PROPN
easat-3415	363	17	,	,	PUNCT
easat-3415	363	18	g.	g.	PROPN
easat-3415	363	19	varoquaux	varoquaux	PROPN
easat-3415	363	20	,	,	PUNCT
easat-3415	363	21	a.	a.	NOUN
easat-3415	363	22	gramfort	gramfort	NOUN
easat-3415	363	23	,	,	PUNCT
easat-3415	363	24	v.	v.	PROPN
easat-3415	363	25	michel	michel	PROPN
easat-3415	363	26	,	,	PUNCT
easat-3415	363	27	b.	b.	PROPN
easat-3415	363	28	thirion	thirion	NOUN
easat-3415	363	29	and	and	CCONJ
easat-3415	363	30	o.	o.	PROPN
easat-3415	363	31	grisel	grisel	PROPN
easat-3415	363	32	,	,	PUNCT
easat-3415	363	33	“	"	PUNCT
easat-3415	363	34	scikit	scikit	NOUN
easat-3415	363	35	-	-	PUNCT
easat-3415	363	36	learn	learn	VERB
easat-3415	363	37	:	:	PUNCT
easat-3415	363	38	machine	machine	NOUN
easat-3415	363	39	learning	learning	NOUN
easat-3415	363	40	in	in	ADP
easat-3415	363	41	python	python	NOUN
easat-3415	363	42	,	,	PUNCT
easat-3415	363	43	”	"	PUNCT
easat-3415	363	44	journal	journal	NOUN
easat-3415	363	45	of	of	ADP
easat-3415	363	46	machine	machine	NOUN
easat-3415	363	47	learning	learn	VERB
easat-3415	363	48	research	research	NOUN
easat-3415	363	49	,	,	PUNCT
easat-3415	363	50	pp	pp	ADP
easat-3415	363	51	.	.	PUNCT
easat-3415	364	1	2825–2830	2825–2830	NUM
easat-3415	364	2	,	,	PUNCT
easat-3415	364	3	2011	2011	NUM
easat-3415	364	4	.	.	PUNCT
easat-3415	365	1	[	[	X
easat-3415	365	2	34	34	NUM
easat-3415	365	3	]	]	PUNCT
easat-3415	365	4	a.	a.	NOUN
easat-3415	365	5	géron	géron	NOUN
easat-3415	365	6	,	,	PUNCT
easat-3415	365	7	hands	hand	NOUN
easat-3415	365	8	-	-	PUNCT
easat-3415	365	9	on	on	ADP
easat-3415	365	10	machine	machine	NOUN
easat-3415	365	11	learning	learn	VERB
easat-3415	365	12	with	with	ADP
easat-3415	365	13	scikit	scikit	NOUN
easat-3415	365	14	-	-	PUNCT
easat-3415	365	15	learn	learn	PROPN
easat-3415	365	16	,	,	PUNCT
easat-3415	365	17	keras	keras	PROPN
easat-3415	365	18	,	,	PUNCT
easat-3415	365	19	and	and	CCONJ
easat-3415	365	20	tensorflow	tensorflow	NOUN
easat-3415	365	21	,	,	PUNCT
easat-3415	365	22	o'reilly	o'reilly	NOUN
easat-3415	365	23	media	media	X
easat-3415	365	24	,	,	PUNCT
easat-3415	365	25	inc	inc	PROPN
easat-3415	365	26	.	.	PROPN
easat-3415	365	27	,	,	PUNCT
easat-3415	365	28	2022	2022	NUM
easat-3415	365	29	.	.	PUNCT