id	sid	tid	token	lemma	pos
cana-3601	1	1	communications	communication	NOUN
cana-3601	1	2	on	on	ADP
cana-3601	1	3	applied	apply	VERB
cana-3601	1	4	nonlinear	nonlinear	ADJ
cana-3601	1	5	analysis	analysis	NOUN
cana-3601	1	6	issn	issn	NOUN
cana-3601	1	7	:	:	PUNCT
cana-3601	1	8	1074	1074	NUM
cana-3601	1	9	-	-	PUNCT
cana-3601	1	10	133x	133x	NUM
cana-3601	1	11	vol	vol	NOUN
cana-3601	1	12	32	32	NUM
cana-3601	1	13	no	no	NOUN
cana-3601	1	14	.	.	PUNCT
cana-3601	2	1	8s	8s	PROPN
cana-3601	2	2	(	(	PUNCT
cana-3601	2	3	2025	2025	NUM
cana-3601	2	4	)	)	PUNCT
cana-3601	2	5	75	75	NUM
cana-3601	2	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3601	2	7	applied	apply	VERB
cana-3601	2	8	nonlinear	nonlinear	ADJ
cana-3601	2	9	analysis	analysis	NOUN
cana-3601	2	10	of	of	ADP
cana-3601	2	11	machine	machine	NOUN
cana-3601	2	12	learning	learning	NOUN
cana-3601	2	13	models	model	NOUN
cana-3601	2	14	for	for	ADP
cana-3601	2	15	education	education	NOUN
cana-3601	2	16	streams	stream	NOUN
cana-3601	2	17	:	:	PUNCT
cana-3601	3	1	a	a	DET
cana-3601	3	2	mathematical	mathematical	ADJ
cana-3601	3	3	and	and	CCONJ
cana-3601	3	4	statistical	statistical	ADJ
cana-3601	3	5	perspective	perspective	PROPN
cana-3601	3	6	dr	dr	PROPN
cana-3601	3	7	.	.	PROPN
cana-3601	3	8	swapnil	swapnil	PROPN
cana-3601	3	9	b.	b.	PROPN
cana-3601	3	10	mohod1	mohod1	PROPN
cana-3601	3	11	,	,	PUNCT
cana-3601	3	12	ketki	ketki	PROPN
cana-3601	3	13	r.	r.	PROPN
cana-3601	3	14	ingole2	ingole2	PROPN
cana-3601	3	15	,	,	PUNCT
cana-3601	3	16	suresh	suresh	PROPN
cana-3601	3	17	kumar	kumar	PROPN
cana-3601	3	18	y3	y3	PROPN
cana-3601	3	19	,	,	PUNCT
cana-3601	3	20	anita	anita	PROPN
cana-3601	3	21	pandey4	pandey4	PROPN
cana-3601	3	22	,	,	PUNCT
cana-3601	3	23	dr	dr	PROPN
cana-3601	3	24	.	.	PROPN
cana-3601	3	25	vijay	vijay	PROPN
cana-3601	3	26	kumar	kumar	PROPN
cana-3601	3	27	dwivedi5	dwivedi5	PROPN
cana-3601	3	28	,	,	PUNCT
cana-3601	3	29	dr	dr	PROPN
cana-3601	3	30	.	.	PROPN
cana-3601	3	31	sheela	sheela	PROPN
cana-3601	3	32	hundekari6	hundekari6	PROPN
cana-3601	3	33	,	,	PUNCT
cana-3601	3	34	dr	dr	PROPN
cana-3601	3	35	.	.	PROPN
cana-3601	3	36	anurag	anurag	PROPN
cana-3601	3	37	shrivastava7	shrivastava7	PROPN
cana-3601	3	38	1dean	1dean	NUM
cana-3601	3	39	,	,	PUNCT
cana-3601	3	40	pg	pg	VERB
cana-3601	3	41	studies	study	NOUN
cana-3601	3	42	,	,	PUNCT
cana-3601	3	43	prof	prof	PROPN
cana-3601	3	44	ram	ram	PROPN
cana-3601	3	45	meghe	meghe	PROPN
cana-3601	3	46	college	college	PROPN
cana-3601	3	47	of	of	ADP
cana-3601	3	48	engineering	engineering	PROPN
cana-3601	3	49	&	&	CCONJ
cana-3601	3	50	management	management	NOUN
cana-3601	3	51	,	,	PUNCT
cana-3601	3	52	badnera	badnera	NOUN
cana-3601	3	53	2assistant	2assistant	NUM
cana-3601	3	54	professor	professor	NOUN
cana-3601	3	55	,	,	PUNCT
cana-3601	3	56	computer	computer	NOUN
cana-3601	3	57	science	science	NOUN
cana-3601	3	58	&	&	CCONJ
cana-3601	3	59	engineering	engineering	PROPN
cana-3601	3	60	,	,	PUNCT
cana-3601	3	61	department	department	NOUN
cana-3601	3	62	,	,	PUNCT
cana-3601	3	63	sipna	sipna	VERB
cana-3601	3	64	college	college	NOUN
cana-3601	3	65	of	of	ADP
cana-3601	3	66	engineering	engineering	PROPN
cana-3601	3	67	&	&	CCONJ
cana-3601	3	68	technology	technology	PROPN
cana-3601	3	69	,	,	PUNCT
cana-3601	3	70	amravati	amravati	PROPN
cana-3601	3	71	3associate	3associate	NUM
cana-3601	3	72	professor	professor	NOUN
cana-3601	3	73	,	,	PUNCT
cana-3601	3	74	department	department	NOUN
cana-3601	3	75	of	of	ADP
cana-3601	3	76	mathematics	mathematic	NOUN
cana-3601	3	77	,	,	PUNCT
cana-3601	3	78	koneru	koneru	PROPN
cana-3601	3	79	lakshmaiah	lakshmaiah	PROPN
cana-3601	3	80	education	education	PROPN
cana-3601	3	81	foundation	foundation	PROPN
cana-3601	3	82	,	,	PUNCT
cana-3601	3	83	hyderabad	hyderabad	PROPN
cana-3601	3	84	,	,	PUNCT
cana-3601	3	85	500075	500075	NUM
cana-3601	3	86	,	,	PUNCT
cana-3601	3	87	telangana	telangana	PROPN
cana-3601	3	88	4assistant	4assistant	PROPN
cana-3601	3	89	professor	professor	NOUN
cana-3601	3	90	,	,	PUNCT
cana-3601	3	91	the	the	DET
cana-3601	3	92	icfai	icfai	NUM
cana-3601	3	93	university	university	NOUN
cana-3601	3	94	,	,	PUNCT
cana-3601	3	95	raipur	raipur	PROPN
cana-3601	3	96	,	,	PUNCT
cana-3601	3	97	chhattisgarh	chhattisgarh	NOUN
cana-3601	3	98	5assistant	5assistant	NUM
cana-3601	3	99	professor	professor	NOUN
cana-3601	3	100	,	,	PUNCT
cana-3601	3	101	department	department	NOUN
cana-3601	3	102	of	of	ADP
cana-3601	3	103	mathematics	mathematic	NOUN
cana-3601	3	104	,	,	PUNCT
cana-3601	3	105	vishwavidyalaya	vishwavidyalaya	NOUN
cana-3601	3	106	engineering	engineering	NOUN
cana-3601	3	107	college	college	NOUN
cana-3601	3	108	ambikapur	ambikapur	NOUN
cana-3601	3	109	(	(	PUNCT
cana-3601	3	110	c.g	c.g	PROPN
cana-3601	3	111	.	.	PROPN
cana-3601	3	112	)	)	PUNCT
cana-3601	3	113	497001	497001	NUM
cana-3601	4	1	6professor	6professor	NUM
cana-3601	4	2	,	,	PUNCT
cana-3601	4	3	school	school	NOUN
cana-3601	4	4	of	of	ADP
cana-3601	4	5	computer	computer	NOUN
cana-3601	4	6	applications	application	NOUN
cana-3601	4	7	,	,	PUNCT
cana-3601	4	8	pimpri	pimpri	NOUN
cana-3601	4	9	chinchwad	chinchwad	PROPN
cana-3601	4	10	university	university	PROPN
cana-3601	4	11	,	,	PUNCT
cana-3601	4	12	pune	pune	NOUN
cana-3601	4	13	7saveetha	7saveetha	NUM
cana-3601	4	14	school	school	NOUN
cana-3601	4	15	of	of	ADP
cana-3601	4	16	engineering	engineering	NOUN
cana-3601	4	17	,	,	PUNCT
cana-3601	4	18	saveetha	saveetha	PROPN
cana-3601	4	19	institute	institute	PROPN
cana-3601	4	20	of	of	ADP
cana-3601	4	21	medical	medical	ADJ
cana-3601	4	22	and	and	CCONJ
cana-3601	4	23	technical	technical	ADJ
cana-3601	4	24	sciences	science	NOUN
cana-3601	4	25	,	,	PUNCT
cana-3601	4	26	chennai	chennai	PROPN
cana-3601	4	27	,	,	PUNCT
cana-3601	4	28	tamilnadu	tamilnadu	NOUN
cana-3601	4	29	.	.	PUNCT
cana-3601	5	1	article	article	NOUN
cana-3601	5	2	history	history	NOUN
cana-3601	5	3	:	:	PUNCT
cana-3601	5	4	received	receive	VERB
cana-3601	5	5	:	:	PUNCT
cana-3601	5	6	26	26	NUM
cana-3601	5	7	-	-	SYM
cana-3601	5	8	10	10	NUM
cana-3601	5	9	-	-	PUNCT
cana-3601	5	10	2024	2024	NUM
cana-3601	5	11	revised	revise	VERB
cana-3601	5	12	:	:	PUNCT
cana-3601	5	13	16	16	NUM
cana-3601	5	14	-	-	SYM
cana-3601	5	15	11	11	NUM
cana-3601	5	16	-	-	PUNCT
cana-3601	5	17	2024	2024	NUM
cana-3601	5	18	accepted	accept	VERB
cana-3601	5	19	:	:	PUNCT
cana-3601	5	20	18	18	NUM
cana-3601	5	21	-	-	SYM
cana-3601	5	22	12	12	NUM
cana-3601	5	23	-	-	PUNCT
cana-3601	5	24	2024	2024	NUM
cana-3601	5	25	abstract	abstract	NOUN
cana-3601	5	26	:	:	PUNCT
cana-3601	5	27	the	the	DET
cana-3601	5	28	application	application	NOUN
cana-3601	5	29	of	of	ADP
cana-3601	5	30	nonlinear	nonlinear	ADJ
cana-3601	5	31	analysis	analysis	NOUN
cana-3601	5	32	in	in	ADP
cana-3601	5	33	machine	machine	NOUN
cana-3601	5	34	learning	learning	NOUN
cana-3601	5	35	(	(	PUNCT
cana-3601	5	36	ml	ml	NOUN
cana-3601	5	37	)	)	PUNCT
cana-3601	5	38	has	have	AUX
cana-3601	5	39	emerged	emerge	VERB
cana-3601	5	40	as	as	ADP
cana-3601	5	41	a	a	DET
cana-3601	5	42	significant	significant	ADJ
cana-3601	5	43	approach	approach	NOUN
cana-3601	5	44	to	to	ADP
cana-3601	5	45	understanding	understanding	NOUN
cana-3601	5	46	and	and	CCONJ
cana-3601	5	47	enhancing	enhance	VERB
cana-3601	5	48	educational	educational	ADJ
cana-3601	5	49	systems	system	NOUN
cana-3601	5	50	.	.	PUNCT
cana-3601	6	1	this	this	DET
cana-3601	6	2	research	research	NOUN
cana-3601	6	3	explores	explore	VERB
cana-3601	6	4	the	the	DET
cana-3601	6	5	integration	integration	NOUN
cana-3601	6	6	of	of	ADP
cana-3601	6	7	nonlinear	nonlinear	ADJ
cana-3601	6	8	mathematical	mathematical	ADJ
cana-3601	6	9	and	and	CCONJ
cana-3601	6	10	statistical	statistical	ADJ
cana-3601	6	11	models	model	NOUN
cana-3601	6	12	in	in	ADP
cana-3601	6	13	various	various	ADJ
cana-3601	6	14	education	education	NOUN
cana-3601	6	15	streams	stream	NOUN
cana-3601	6	16	to	to	PART
cana-3601	6	17	identify	identify	VERB
cana-3601	6	18	patterns	pattern	NOUN
cana-3601	6	19	,	,	PUNCT
cana-3601	6	20	trends	trend	NOUN
cana-3601	6	21	,	,	PUNCT
cana-3601	6	22	and	and	CCONJ
cana-3601	6	23	opportunities	opportunity	NOUN
cana-3601	6	24	for	for	ADP
cana-3601	6	25	improvement	improvement	NOUN
cana-3601	6	26	.	.	PUNCT
cana-3601	7	1	by	by	ADP
cana-3601	7	2	leveraging	leverage	VERB
cana-3601	7	3	ml	ml	NOUN
cana-3601	7	4	algorithms	algorithm	NOUN
cana-3601	7	5	such	such	ADJ
cana-3601	7	6	as	as	ADP
cana-3601	7	7	neural	neural	ADJ
cana-3601	7	8	networks	network	NOUN
cana-3601	7	9	,	,	PUNCT
cana-3601	7	10	decision	decision	NOUN
cana-3601	7	11	trees	tree	NOUN
cana-3601	7	12	,	,	PUNCT
cana-3601	7	13	and	and	CCONJ
cana-3601	7	14	support	support	VERB
cana-3601	7	15	vector	vector	NOUN
cana-3601	7	16	machines	machine	NOUN
cana-3601	7	17	,	,	PUNCT
cana-3601	7	18	the	the	DET
cana-3601	7	19	study	study	NOUN
cana-3601	7	20	examines	examine	VERB
cana-3601	7	21	complex	complex	ADJ
cana-3601	7	22	relationships	relationship	NOUN
cana-3601	7	23	and	and	CCONJ
cana-3601	7	24	dynamics	dynamic	NOUN
cana-3601	7	25	that	that	PRON
cana-3601	7	26	linear	linear	NOUN
cana-3601	7	27	models	model	NOUN
cana-3601	7	28	often	often	ADV
cana-3601	7	29	fail	fail	VERB
cana-3601	7	30	to	to	PART
cana-3601	7	31	capture	capture	VERB
cana-3601	7	32	.	.	PUNCT
cana-3601	8	1	key	key	ADJ
cana-3601	8	2	areas	area	NOUN
cana-3601	8	3	of	of	ADP
cana-3601	8	4	focus	focus	NOUN
cana-3601	8	5	include	include	VERB
cana-3601	8	6	predicting	predict	VERB
cana-3601	8	7	student	student	NOUN
cana-3601	8	8	performance	performance	NOUN
cana-3601	8	9	,	,	PUNCT
cana-3601	8	10	optimizing	optimize	VERB
cana-3601	8	11	curriculum	curriculum	NOUN
cana-3601	8	12	design	design	NOUN
cana-3601	8	13	,	,	PUNCT
cana-3601	8	14	and	and	CCONJ
cana-3601	8	15	identifying	identify	VERB
cana-3601	8	16	at	at	ADP
cana-3601	8	17	-	-	PUNCT
cana-3601	8	18	risk	risk	NOUN
cana-3601	8	19	students	student	NOUN
cana-3601	8	20	.	.	PUNCT
cana-3601	9	1	the	the	DET
cana-3601	9	2	study	study	NOUN
cana-3601	9	3	also	also	ADV
cana-3601	9	4	investigates	investigate	VERB
cana-3601	9	5	the	the	DET
cana-3601	9	6	role	role	NOUN
cana-3601	9	7	of	of	ADP
cana-3601	9	8	advanced	advanced	ADJ
cana-3601	9	9	statistical	statistical	ADJ
cana-3601	9	10	techniques	technique	NOUN
cana-3601	9	11	such	such	ADJ
cana-3601	9	12	as	as	ADP
cana-3601	9	13	regression	regression	NOUN
cana-3601	9	14	analysis	analysis	NOUN
cana-3601	9	15	,	,	PUNCT
cana-3601	9	16	chaos	chaos	NOUN
cana-3601	9	17	theory	theory	NOUN
cana-3601	9	18	,	,	PUNCT
cana-3601	9	19	and	and	CCONJ
cana-3601	9	20	fractals	fractal	NOUN
cana-3601	9	21	in	in	ADP
cana-3601	9	22	interpreting	interpret	VERB
cana-3601	9	23	large	large	ADJ
cana-3601	9	24	-	-	PUNCT
cana-3601	9	25	scale	scale	NOUN
cana-3601	9	26	educational	educational	ADJ
cana-3601	9	27	data	datum	NOUN
cana-3601	9	28	.	.	PUNCT
cana-3601	10	1	the	the	DET
cana-3601	10	2	findings	finding	NOUN
cana-3601	10	3	highlight	highlight	VERB
cana-3601	10	4	how	how	SCONJ
cana-3601	10	5	nonlinear	nonlinear	ADJ
cana-3601	10	6	techniques	technique	NOUN
cana-3601	10	7	can	can	AUX
cana-3601	10	8	address	address	VERB
cana-3601	10	9	challenges	challenge	NOUN
cana-3601	10	10	in	in	ADP
cana-3601	10	11	data	datum	NOUN
cana-3601	10	12	heterogeneity	heterogeneity	NOUN
cana-3601	10	13	,	,	PUNCT
cana-3601	10	14	noise	noise	NOUN
cana-3601	10	15	,	,	PUNCT
cana-3601	10	16	and	and	CCONJ
cana-3601	10	17	multidimensionality	multidimensionality	NOUN
cana-3601	10	18	,	,	PUNCT
cana-3601	10	19	thereby	thereby	ADV
cana-3601	10	20	enhancing	enhance	VERB
cana-3601	10	21	decision	decision	NOUN
cana-3601	10	22	-	-	PUNCT
cana-3601	10	23	making	make	VERB
cana-3601	10	24	processes	process	NOUN
cana-3601	10	25	in	in	ADP
cana-3601	10	26	educational	educational	ADJ
cana-3601	10	27	management	management	NOUN
cana-3601	10	28	.	.	PUNCT
cana-3601	11	1	this	this	DET
cana-3601	11	2	paper	paper	NOUN
cana-3601	11	3	aims	aim	VERB
cana-3601	11	4	to	to	PART
cana-3601	11	5	provide	provide	VERB
cana-3601	11	6	a	a	DET
cana-3601	11	7	robust	robust	ADJ
cana-3601	11	8	framework	framework	NOUN
cana-3601	11	9	for	for	ADP
cana-3601	11	10	implementing	implement	VERB
cana-3601	11	11	nonlinear	nonlinear	ADJ
cana-3601	11	12	ml	ml	NOUN
cana-3601	11	13	techniques	technique	NOUN
cana-3601	11	14	,	,	PUNCT
cana-3601	11	15	offering	offer	VERB
cana-3601	11	16	actionable	actionable	ADJ
cana-3601	11	17	insights	insight	NOUN
cana-3601	11	18	for	for	ADP
cana-3601	11	19	educators	educator	NOUN
cana-3601	11	20	,	,	PUNCT
cana-3601	11	21	administrators	administrator	NOUN
cana-3601	11	22	,	,	PUNCT
cana-3601	11	23	and	and	CCONJ
cana-3601	11	24	policymakers	policymaker	NOUN
cana-3601	11	25	.	.	PUNCT
cana-3601	12	1	keywords	keyword	NOUN
cana-3601	12	2	:	:	PUNCT
cana-3601	12	3	nonlinear	nonlinear	ADJ
cana-3601	12	4	analysis	analysis	NOUN
cana-3601	12	5	,	,	PUNCT
cana-3601	12	6	machine	machine	NOUN
cana-3601	12	7	learning	learning	NOUN
cana-3601	12	8	models	model	NOUN
cana-3601	12	9	,	,	PUNCT
cana-3601	12	10	education	education	NOUN
cana-3601	12	11	data	datum	NOUN
cana-3601	12	12	analytics	analytic	NOUN
cana-3601	12	13	,	,	PUNCT
cana-3601	12	14	statistical	statistical	ADJ
cana-3601	12	15	perspective	perspective	NOUN
cana-3601	12	16	,	,	PUNCT
cana-3601	12	17	predictive	predictive	ADJ
cana-3601	12	18	modeling	modeling	NOUN
cana-3601	12	19	,	,	PUNCT
cana-3601	12	20	mathematical	mathematical	ADJ
cana-3601	12	21	framework	framework	NOUN
cana-3601	12	22	introduction	introduction	NOUN
cana-3601	12	23	the	the	DET
cana-3601	12	24	rapid	rapid	ADJ
cana-3601	12	25	advancements	advancement	NOUN
cana-3601	12	26	in	in	ADP
cana-3601	12	27	machine	machine	NOUN
cana-3601	12	28	learning	learning	NOUN
cana-3601	12	29	(	(	PUNCT
cana-3601	12	30	ml	ml	NOUN
cana-3601	12	31	)	)	PUNCT
cana-3601	12	32	and	and	CCONJ
cana-3601	12	33	data	datum	NOUN
cana-3601	12	34	analytics	analytic	NOUN
cana-3601	12	35	have	have	AUX
cana-3601	12	36	revolutionized	revolutionize	VERB
cana-3601	12	37	numerous	numerous	ADJ
cana-3601	12	38	industries	industry	NOUN
cana-3601	12	39	,	,	PUNCT
cana-3601	12	40	including	include	VERB
cana-3601	12	41	education	education	NOUN
cana-3601	12	42	.	.	PUNCT
cana-3601	13	1	education	education	NOUN
cana-3601	13	2	systems	system	NOUN
cana-3601	13	3	today	today	NOUN
cana-3601	13	4	generate	generate	VERB
cana-3601	13	5	vast	vast	ADJ
cana-3601	13	6	amounts	amount	NOUN
cana-3601	13	7	of	of	ADP
cana-3601	13	8	data	datum	NOUN
cana-3601	13	9	from	from	ADP
cana-3601	13	10	diverse	diverse	ADJ
cana-3601	13	11	sources	source	NOUN
cana-3601	13	12	,	,	PUNCT
cana-3601	13	13	including	include	VERB
cana-3601	13	14	student	student	NOUN
cana-3601	13	15	performance	performance	NOUN
cana-3601	13	16	records	record	NOUN
cana-3601	13	17	,	,	PUNCT
cana-3601	13	18	online	online	ADJ
cana-3601	13	19	learning	learning	NOUN
cana-3601	13	20	platforms	platform	NOUN
cana-3601	13	21	,	,	PUNCT
cana-3601	13	22	assessments	assessment	NOUN
cana-3601	13	23	,	,	PUNCT
cana-3601	13	24	and	and	CCONJ
cana-3601	13	25	institutional	institutional	ADJ
cana-3601	13	26	management	management	NOUN
cana-3601	13	27	systems	system	NOUN
cana-3601	13	28	.	.	PUNCT
cana-3601	14	1	this	this	DET
cana-3601	14	2	data	datum	NOUN
cana-3601	14	3	,	,	PUNCT
cana-3601	14	4	when	when	SCONJ
cana-3601	14	5	effectively	effectively	ADV
cana-3601	14	6	analyzed	analyze	VERB
cana-3601	14	7	,	,	PUNCT
cana-3601	14	8	holds	hold	VERB
cana-3601	14	9	the	the	DET
cana-3601	14	10	potential	potential	NOUN
cana-3601	14	11	to	to	PART
cana-3601	14	12	transform	transform	VERB
cana-3601	14	13	how	how	SCONJ
cana-3601	14	14	educational	educational	ADJ
cana-3601	14	15	systems	system	NOUN
cana-3601	14	16	operate	operate	VERB
cana-3601	14	17	by	by	ADP
cana-3601	14	18	enabling	enable	VERB
cana-3601	14	19	data	datum	NOUN
cana-3601	14	20	-	-	PUNCT
cana-3601	14	21	driven	drive	VERB
cana-3601	14	22	decision	decision	NOUN
cana-3601	14	23	-	-	PUNCT
cana-3601	14	24	making	making	NOUN
cana-3601	14	25	.	.	PUNCT
cana-3601	15	1	while	while	SCONJ
cana-3601	15	2	traditional	traditional	ADJ
cana-3601	15	3	linear	linear	NOUN
cana-3601	15	4	models	model	NOUN
cana-3601	15	5	have	have	AUX
cana-3601	15	6	historically	historically	ADV
cana-3601	15	7	been	be	AUX
cana-3601	15	8	used	use	VERB
cana-3601	15	9	to	to	PART
cana-3601	15	10	analyze	analyze	VERB
cana-3601	15	11	such	such	ADJ
cana-3601	15	12	data	datum	NOUN
cana-3601	15	13	,	,	PUNCT
cana-3601	15	14	the	the	DET
cana-3601	15	15	growing	grow	VERB
cana-3601	15	16	complexity	complexity	NOUN
cana-3601	15	17	and	and	CCONJ
cana-3601	15	18	heterogeneity	heterogeneity	NOUN
cana-3601	15	19	of	of	ADP
cana-3601	15	20	educational	educational	ADJ
cana-3601	15	21	environments	environment	NOUN
cana-3601	15	22	demand	demand	VERB
cana-3601	15	23	nonlinear	nonlinear	ADJ
cana-3601	15	24	approaches	approach	NOUN
cana-3601	15	25	to	to	PART
cana-3601	15	26	uncover	uncover	VERB
cana-3601	15	27	deeper	deep	ADJ
cana-3601	15	28	insights	insight	NOUN
cana-3601	15	29	.	.	PUNCT
cana-3601	16	1	nonlinear	nonlinear	ADJ
cana-3601	16	2	analysis	analysis	NOUN
cana-3601	16	3	,	,	PUNCT
cana-3601	16	4	a	a	DET
cana-3601	16	5	domain	domain	NOUN
cana-3601	16	6	rooted	root	VERB
cana-3601	16	7	in	in	ADP
cana-3601	16	8	advanced	advanced	ADJ
cana-3601	16	9	mathematical	mathematical	ADJ
cana-3601	16	10	and	and	CCONJ
cana-3601	16	11	statistical	statistical	ADJ
cana-3601	16	12	principles	principle	NOUN
cana-3601	16	13	,	,	PUNCT
cana-3601	16	14	offers	offer	VERB
cana-3601	16	15	a	a	DET
cana-3601	16	16	robust	robust	ADJ
cana-3601	16	17	communications	communication	NOUN
cana-3601	16	18	on	on	ADP
cana-3601	16	19	applied	apply	VERB
cana-3601	16	20	nonlinear	nonlinear	ADJ
cana-3601	16	21	analysis	analysis	NOUN
cana-3601	16	22	issn	issn	NOUN
cana-3601	16	23	:	:	PUNCT
cana-3601	16	24	1074	1074	NUM
cana-3601	16	25	-	-	PUNCT
cana-3601	16	26	133x	133x	NUM
cana-3601	16	27	vol	vol	NOUN
cana-3601	16	28	32	32	NUM
cana-3601	16	29	no	no	NOUN
cana-3601	16	30	.	.	PUNCT
cana-3601	17	1	8s	8s	PROPN
cana-3601	17	2	(	(	PUNCT
cana-3601	17	3	2025	2025	NUM
cana-3601	17	4	)	)	PUNCT
cana-3601	17	5	76	76	NUM
cana-3601	17	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3601	17	7	methodology	methodology	NOUN
cana-3601	17	8	to	to	PART
cana-3601	17	9	address	address	VERB
cana-3601	17	10	the	the	DET
cana-3601	17	11	intricacies	intricacy	NOUN
cana-3601	17	12	of	of	ADP
cana-3601	17	13	educational	educational	ADJ
cana-3601	17	14	data	datum	NOUN
cana-3601	17	15	.	.	PUNCT
cana-3601	18	1	unlike	unlike	ADP
cana-3601	18	2	linear	linear	ADJ
cana-3601	18	3	models	model	NOUN
cana-3601	18	4	that	that	PRON
cana-3601	18	5	assume	assume	VERB
cana-3601	18	6	proportional	proportional	ADJ
cana-3601	18	7	relationships	relationship	NOUN
cana-3601	18	8	between	between	ADP
cana-3601	18	9	variables	variable	NOUN
cana-3601	18	10	,	,	PUNCT
cana-3601	18	11	nonlinear	nonlinear	ADJ
cana-3601	18	12	approaches	approach	NOUN
cana-3601	18	13	capture	capture	VERB
cana-3601	18	14	dynamic	dynamic	ADJ
cana-3601	18	15	,	,	PUNCT
cana-3601	18	16	chaotic	chaotic	ADJ
cana-3601	18	17	,	,	PUNCT
cana-3601	18	18	and	and	CCONJ
cana-3601	18	19	multidimensional	multidimensional	ADJ
cana-3601	18	20	patterns	pattern	NOUN
cana-3601	18	21	that	that	PRON
cana-3601	18	22	are	be	AUX
cana-3601	18	23	characteristic	characteristic	ADJ
cana-3601	18	24	of	of	ADP
cana-3601	18	25	real	real	ADJ
cana-3601	18	26	-	-	PUNCT
cana-3601	18	27	world	world	NOUN
cana-3601	18	28	educational	educational	ADJ
cana-3601	18	29	systems	system	NOUN
cana-3601	18	30	.	.	PUNCT
cana-3601	19	1	these	these	DET
cana-3601	19	2	techniques	technique	NOUN
cana-3601	19	3	include	include	VERB
cana-3601	19	4	methods	method	NOUN
cana-3601	19	5	such	such	ADJ
cana-3601	19	6	as	as	ADP
cana-3601	19	7	neural	neural	ADJ
cana-3601	19	8	networks	network	NOUN
cana-3601	19	9	,	,	PUNCT
cana-3601	19	10	support	support	VERB
cana-3601	19	11	vector	vector	NOUN
cana-3601	19	12	machines	machine	NOUN
cana-3601	19	13	,	,	PUNCT
cana-3601	19	14	decision	decision	NOUN
cana-3601	19	15	trees	tree	NOUN
cana-3601	19	16	,	,	PUNCT
cana-3601	19	17	and	and	CCONJ
cana-3601	19	18	regression	regression	NOUN
cana-3601	19	19	models	model	NOUN
cana-3601	19	20	with	with	ADP
cana-3601	19	21	nonlinear	nonlinear	ADJ
cana-3601	19	22	transformations	transformation	NOUN
cana-3601	19	23	.	.	PUNCT
cana-3601	20	1	by	by	ADP
cana-3601	20	2	applying	apply	VERB
cana-3601	20	3	these	these	DET
cana-3601	20	4	models	model	NOUN
cana-3601	20	5	,	,	PUNCT
cana-3601	20	6	researchers	researcher	NOUN
cana-3601	20	7	can	can	AUX
cana-3601	20	8	explore	explore	VERB
cana-3601	20	9	complex	complex	ADJ
cana-3601	20	10	interdependencies	interdependency	NOUN
cana-3601	20	11	,	,	PUNCT
cana-3601	20	12	such	such	ADJ
cana-3601	20	13	as	as	ADP
cana-3601	20	14	the	the	DET
cana-3601	20	15	influence	influence	NOUN
cana-3601	20	16	of	of	ADP
cana-3601	20	17	socio	socio	NOUN
cana-3601	20	18	-	-	PUNCT
cana-3601	20	19	economic	economic	ADJ
cana-3601	20	20	factors	factor	NOUN
cana-3601	20	21	on	on	ADP
cana-3601	20	22	student	student	NOUN
cana-3601	20	23	performance	performance	NOUN
cana-3601	20	24	,	,	PUNCT
cana-3601	20	25	the	the	DET
cana-3601	20	26	optimization	optimization	NOUN
cana-3601	20	27	of	of	ADP
cana-3601	20	28	adaptive	adaptive	ADJ
cana-3601	20	29	learning	learning	NOUN
cana-3601	20	30	technologies	technology	NOUN
cana-3601	20	31	,	,	PUNCT
cana-3601	20	32	and	and	CCONJ
cana-3601	20	33	the	the	DET
cana-3601	20	34	prediction	prediction	NOUN
cana-3601	20	35	of	of	ADP
cana-3601	20	36	at	at	ADP
cana-3601	20	37	-	-	PUNCT
cana-3601	20	38	risk	risk	NOUN
cana-3601	20	39	students	student	NOUN
cana-3601	20	40	.	.	PUNCT
cana-3601	21	1	the	the	DET
cana-3601	21	2	integration	integration	NOUN
cana-3601	21	3	of	of	ADP
cana-3601	21	4	machine	machine	NOUN
cana-3601	21	5	learning	learning	NOUN
cana-3601	21	6	models	model	NOUN
cana-3601	21	7	in	in	ADP
cana-3601	21	8	education	education	NOUN
cana-3601	21	9	provides	provide	VERB
cana-3601	21	10	a	a	DET
cana-3601	21	11	dual	dual	ADJ
cana-3601	21	12	advantage	advantage	NOUN
cana-3601	21	13	:	:	PUNCT
cana-3601	21	14	(	(	PUNCT
cana-3601	21	15	1	1	X
cana-3601	21	16	)	)	PUNCT
cana-3601	21	17	improving	improve	VERB
cana-3601	21	18	the	the	DET
cana-3601	21	19	accuracy	accuracy	NOUN
cana-3601	21	20	of	of	ADP
cana-3601	21	21	predictive	predictive	ADJ
cana-3601	21	22	and	and	CCONJ
cana-3601	21	23	prescriptive	prescriptive	ADJ
cana-3601	21	24	analytics	analytic	NOUN
cana-3601	21	25	,	,	PUNCT
cana-3601	21	26	and	and	CCONJ
cana-3601	21	27	(	(	PUNCT
cana-3601	21	28	2	2	X
cana-3601	21	29	)	)	PUNCT
cana-3601	21	30	enabling	enable	VERB
cana-3601	21	31	the	the	DET
cana-3601	21	32	design	design	NOUN
cana-3601	21	33	of	of	ADP
cana-3601	21	34	customized	customize	VERB
cana-3601	21	35	interventions	intervention	NOUN
cana-3601	21	36	for	for	ADP
cana-3601	21	37	diverse	diverse	ADJ
cana-3601	21	38	learning	learning	NOUN
cana-3601	21	39	environments	environment	NOUN
cana-3601	21	40	.	.	PUNCT
cana-3601	22	1	for	for	ADP
cana-3601	22	2	instance	instance	NOUN
cana-3601	22	3	,	,	PUNCT
cana-3601	22	4	nonlinear	nonlinear	ADJ
cana-3601	22	5	methods	method	NOUN
cana-3601	22	6	like	like	ADP
cana-3601	22	7	clustering	cluster	VERB
cana-3601	22	8	algorithms	algorithm	NOUN
cana-3601	22	9	can	can	AUX
cana-3601	22	10	identify	identify	VERB
cana-3601	22	11	student	student	NOUN
cana-3601	22	12	groups	group	NOUN
cana-3601	22	13	with	with	ADP
cana-3601	22	14	similar	similar	ADJ
cana-3601	22	15	learning	learning	NOUN
cana-3601	22	16	behaviors	behavior	NOUN
cana-3601	22	17	,	,	PUNCT
cana-3601	22	18	while	while	SCONJ
cana-3601	22	19	classification	classification	NOUN
cana-3601	22	20	models	model	NOUN
cana-3601	22	21	can	can	AUX
cana-3601	22	22	predict	predict	VERB
cana-3601	22	23	students	student	NOUN
cana-3601	22	24	'	'	PART
cana-3601	22	25	likelihood	likelihood	NOUN
cana-3601	22	26	of	of	ADP
cana-3601	22	27	achieving	achieve	VERB
cana-3601	22	28	academic	academic	ADJ
cana-3601	22	29	success	success	NOUN
cana-3601	22	30	based	base	VERB
cana-3601	22	31	on	on	ADP
cana-3601	22	32	historical	historical	ADJ
cana-3601	22	33	data	datum	NOUN
cana-3601	22	34	.	.	PUNCT
cana-3601	23	1	these	these	DET
cana-3601	23	2	capabilities	capability	NOUN
cana-3601	23	3	are	be	AUX
cana-3601	23	4	particularly	particularly	ADV
cana-3601	23	5	important	important	ADJ
cana-3601	23	6	in	in	ADP
cana-3601	23	7	modern	modern	ADJ
cana-3601	23	8	education	education	NOUN
cana-3601	23	9	systems	system	NOUN
cana-3601	23	10	that	that	PRON
cana-3601	23	11	emphasize	emphasize	VERB
cana-3601	23	12	inclusivity	inclusivity	NOUN
cana-3601	23	13	,	,	PUNCT
cana-3601	23	14	personalized	personalized	ADJ
cana-3601	23	15	learning	learning	NOUN
cana-3601	23	16	,	,	PUNCT
cana-3601	23	17	and	and	CCONJ
cana-3601	23	18	resource	resource	NOUN
cana-3601	23	19	optimization	optimization	NOUN
cana-3601	23	20	.	.	PUNCT
cana-3601	24	1	from	from	ADP
cana-3601	24	2	a	a	DET
cana-3601	24	3	mathematical	mathematical	ADJ
cana-3601	24	4	and	and	CCONJ
cana-3601	24	5	statistical	statistical	ADJ
cana-3601	24	6	perspective	perspective	NOUN
cana-3601	24	7	,	,	PUNCT
cana-3601	24	8	nonlinear	nonlinear	ADJ
cana-3601	24	9	analysis	analysis	NOUN
cana-3601	24	10	expands	expand	VERB
cana-3601	24	11	the	the	DET
cana-3601	24	12	horizons	horizon	NOUN
cana-3601	24	13	of	of	ADP
cana-3601	24	14	educational	educational	ADJ
cana-3601	24	15	data	datum	NOUN
cana-3601	24	16	analytics	analytic	NOUN
cana-3601	24	17	by	by	ADP
cana-3601	24	18	incorporating	incorporate	VERB
cana-3601	24	19	methods	method	NOUN
cana-3601	24	20	such	such	ADJ
cana-3601	24	21	as	as	ADP
cana-3601	24	22	chaos	chaos	NOUN
cana-3601	24	23	theory	theory	NOUN
cana-3601	24	24	,	,	PUNCT
cana-3601	24	25	fractal	fractal	ADJ
cana-3601	24	26	geometry	geometry	NOUN
cana-3601	24	27	,	,	PUNCT
cana-3601	24	28	and	and	CCONJ
cana-3601	24	29	time	time	NOUN
cana-3601	24	30	-	-	PUNCT
cana-3601	24	31	series	series	NOUN
cana-3601	24	32	analysis	analysis	NOUN
cana-3601	24	33	.	.	PUNCT
cana-3601	25	1	these	these	DET
cana-3601	25	2	approaches	approach	NOUN
cana-3601	25	3	allow	allow	VERB
cana-3601	25	4	for	for	ADP
cana-3601	25	5	the	the	DET
cana-3601	25	6	analysis	analysis	NOUN
cana-3601	25	7	of	of	ADP
cana-3601	25	8	highly	highly	ADV
cana-3601	25	9	complex	complex	ADJ
cana-3601	25	10	datasets	dataset	NOUN
cana-3601	25	11	that	that	PRON
cana-3601	25	12	exhibit	exhibit	VERB
cana-3601	25	13	irregularities	irregularity	NOUN
cana-3601	25	14	,	,	PUNCT
cana-3601	25	15	nonlinearity	nonlinearity	NOUN
cana-3601	25	16	,	,	PUNCT
cana-3601	25	17	and	and	CCONJ
cana-3601	25	18	high	high	ADJ
cana-3601	25	19	dimensionality	dimensionality	NOUN
cana-3601	25	20	.	.	PUNCT
cana-3601	26	1	for	for	ADP
cana-3601	26	2	example	example	NOUN
cana-3601	26	3	,	,	PUNCT
cana-3601	26	4	fractal	fractal	ADJ
cana-3601	26	5	geometry	geometry	NOUN
cana-3601	26	6	has	have	AUX
cana-3601	26	7	been	be	AUX
cana-3601	26	8	used	use	VERB
cana-3601	26	9	to	to	PART
cana-3601	26	10	understand	understand	VERB
cana-3601	26	11	the	the	DET
cana-3601	26	12	self	self	NOUN
cana-3601	26	13	-	-	PUNCT
cana-3601	26	14	similar	similar	ADJ
cana-3601	26	15	patterns	pattern	NOUN
cana-3601	26	16	in	in	ADP
cana-3601	26	17	student	student	NOUN
cana-3601	26	18	engagement	engagement	NOUN
cana-3601	26	19	data	datum	NOUN
cana-3601	26	20	,	,	PUNCT
cana-3601	26	21	while	while	SCONJ
cana-3601	26	22	chaos	chaos	NOUN
cana-3601	26	23	theory	theory	NOUN
cana-3601	26	24	provides	provide	VERB
cana-3601	26	25	insights	insight	NOUN
cana-3601	26	26	into	into	ADP
cana-3601	26	27	the	the	DET
cana-3601	26	28	unpredictable	unpredictable	ADJ
cana-3601	26	29	behaviors	behavior	NOUN
cana-3601	26	30	in	in	ADP
cana-3601	26	31	collaborative	collaborative	ADJ
cana-3601	26	32	learning	learning	NOUN
cana-3601	26	33	environments	environment	NOUN
cana-3601	26	34	.	.	PUNCT
cana-3601	27	1	the	the	DET
cana-3601	27	2	aim	aim	NOUN
cana-3601	27	3	of	of	ADP
cana-3601	27	4	this	this	DET
cana-3601	27	5	paper	paper	NOUN
cana-3601	27	6	is	be	AUX
cana-3601	27	7	to	to	PART
cana-3601	27	8	provide	provide	VERB
cana-3601	27	9	a	a	DET
cana-3601	27	10	comprehensive	comprehensive	ADJ
cana-3601	27	11	overview	overview	NOUN
cana-3601	27	12	of	of	ADP
cana-3601	27	13	the	the	DET
cana-3601	27	14	application	application	NOUN
cana-3601	27	15	of	of	ADP
cana-3601	27	16	nonlinear	nonlinear	ADJ
cana-3601	27	17	analysis	analysis	NOUN
cana-3601	27	18	in	in	ADP
cana-3601	27	19	machine	machine	NOUN
cana-3601	27	20	learning	learning	NOUN
cana-3601	27	21	models	model	NOUN
cana-3601	27	22	within	within	ADP
cana-3601	27	23	the	the	DET
cana-3601	27	24	education	education	NOUN
cana-3601	27	25	domain	domain	NOUN
cana-3601	27	26	.	.	PUNCT
cana-3601	28	1	it	it	PRON
cana-3601	28	2	explores	explore	VERB
cana-3601	28	3	the	the	DET
cana-3601	28	4	mathematical	mathematical	ADJ
cana-3601	28	5	and	and	CCONJ
cana-3601	28	6	statistical	statistical	ADJ
cana-3601	28	7	foundations	foundation	NOUN
cana-3601	28	8	of	of	ADP
cana-3601	28	9	these	these	DET
cana-3601	28	10	techniques	technique	NOUN
cana-3601	28	11	,	,	PUNCT
cana-3601	28	12	discusses	discuss	VERB
cana-3601	28	13	their	their	PRON
cana-3601	28	14	relevance	relevance	NOUN
cana-3601	28	15	to	to	ADP
cana-3601	28	16	education	education	NOUN
cana-3601	28	17	streams	stream	NOUN
cana-3601	28	18	,	,	PUNCT
cana-3601	28	19	and	and	CCONJ
cana-3601	28	20	evaluates	evaluate	VERB
cana-3601	28	21	their	their	PRON
cana-3601	28	22	potential	potential	NOUN
cana-3601	28	23	to	to	PART
cana-3601	28	24	solve	solve	VERB
cana-3601	28	25	complex	complex	ADJ
cana-3601	28	26	challenges	challenge	NOUN
cana-3601	28	27	in	in	ADP
cana-3601	28	28	the	the	DET
cana-3601	28	29	sector	sector	NOUN
cana-3601	28	30	.	.	PUNCT
cana-3601	29	1	the	the	DET
cana-3601	29	2	paper	paper	NOUN
cana-3601	29	3	also	also	ADV
cana-3601	29	4	highlights	highlight	VERB
cana-3601	29	5	real	real	ADJ
cana-3601	29	6	-	-	PUNCT
cana-3601	29	7	world	world	NOUN
cana-3601	29	8	use	use	NOUN
cana-3601	29	9	cases	case	NOUN
cana-3601	29	10	,	,	PUNCT
cana-3601	29	11	such	such	ADJ
cana-3601	29	12	as	as	ADP
cana-3601	29	13	predicting	predict	VERB
cana-3601	29	14	student	student	NOUN
cana-3601	29	15	outcomes	outcome	NOUN
cana-3601	29	16	,	,	PUNCT
cana-3601	29	17	optimizing	optimize	VERB
cana-3601	29	18	curriculum	curriculum	NOUN
cana-3601	29	19	delivery	delivery	NOUN
cana-3601	29	20	,	,	PUNCT
cana-3601	29	21	and	and	CCONJ
cana-3601	29	22	identifying	identify	VERB
cana-3601	29	23	critical	critical	ADJ
cana-3601	29	24	points	point	NOUN
cana-3601	29	25	for	for	ADP
cana-3601	29	26	intervention	intervention	NOUN
cana-3601	29	27	.	.	PUNCT
cana-3601	30	1	this	this	DET
cana-3601	30	2	paper	paper	NOUN
cana-3601	30	3	is	be	AUX
cana-3601	30	4	structured	structure	VERB
cana-3601	30	5	as	as	SCONJ
cana-3601	30	6	follows	follow	VERB
cana-3601	30	7	:	:	PUNCT
cana-3601	30	8	1	1	X
cana-3601	30	9	.	.	X
cana-3601	30	10	background	background	NOUN
cana-3601	30	11	and	and	CCONJ
cana-3601	30	12	motivation	motivation	NOUN
cana-3601	30	13	–	–	PUNCT
cana-3601	30	14	discussing	discuss	VERB
cana-3601	30	15	the	the	DET
cana-3601	30	16	limitations	limitation	NOUN
cana-3601	30	17	of	of	ADP
cana-3601	30	18	linear	linear	NOUN
cana-3601	30	19	models	model	NOUN
cana-3601	30	20	and	and	CCONJ
cana-3601	30	21	the	the	DET
cana-3601	30	22	need	need	NOUN
cana-3601	30	23	for	for	ADP
cana-3601	30	24	nonlinear	nonlinear	ADJ
cana-3601	30	25	analysis	analysis	NOUN
cana-3601	30	26	in	in	ADP
cana-3601	30	27	education	education	NOUN
cana-3601	30	28	.	.	PUNCT
cana-3601	31	1	2	2	X
cana-3601	31	2	.	.	X
cana-3601	31	3	nonlinear	nonlinear	ADJ
cana-3601	31	4	machine	machine	NOUN
cana-3601	31	5	learning	learning	NOUN
cana-3601	31	6	models	model	NOUN
cana-3601	31	7	–	–	PUNCT
cana-3601	31	8	explaining	explain	VERB
cana-3601	31	9	various	various	ADJ
cana-3601	31	10	nonlinear	nonlinear	ADJ
cana-3601	31	11	ml	ml	NOUN
cana-3601	31	12	techniques	technique	NOUN
cana-3601	31	13	and	and	CCONJ
cana-3601	31	14	their	their	PRON
cana-3601	31	15	applications	application	NOUN
cana-3601	31	16	in	in	ADP
cana-3601	31	17	education	education	NOUN
cana-3601	31	18	.	.	PUNCT
cana-3601	32	1	3	3	X
cana-3601	32	2	.	.	X
cana-3601	32	3	statistical	statistical	ADJ
cana-3601	32	4	perspectives	perspective	NOUN
cana-3601	32	5	–	–	PUNCT
cana-3601	32	6	exploring	explore	VERB
cana-3601	32	7	advanced	advanced	ADJ
cana-3601	32	8	statistical	statistical	ADJ
cana-3601	32	9	methods	method	NOUN
cana-3601	32	10	and	and	CCONJ
cana-3601	32	11	their	their	PRON
cana-3601	32	12	role	role	NOUN
cana-3601	32	13	in	in	ADP
cana-3601	32	14	educational	educational	ADJ
cana-3601	32	15	data	datum	NOUN
cana-3601	32	16	interpretation	interpretation	NOUN
cana-3601	32	17	.	.	PUNCT
cana-3601	33	1	4	4	X
cana-3601	33	2	.	.	X
cana-3601	33	3	applications	application	NOUN
cana-3601	33	4	in	in	ADP
cana-3601	33	5	education	education	NOUN
cana-3601	33	6	streams	stream	NOUN
cana-3601	33	7	–	–	PUNCT
cana-3601	33	8	showcasing	showcase	VERB
cana-3601	33	9	case	case	NOUN
cana-3601	33	10	studies	study	NOUN
cana-3601	33	11	and	and	CCONJ
cana-3601	33	12	real	real	ADJ
cana-3601	33	13	-	-	PUNCT
cana-3601	33	14	world	world	NOUN
cana-3601	33	15	examples	example	NOUN
cana-3601	33	16	.	.	PUNCT
cana-3601	34	1	5	5	X
cana-3601	34	2	.	.	X
cana-3601	34	3	challenges	challenge	NOUN
cana-3601	34	4	and	and	CCONJ
cana-3601	34	5	opportunities	opportunity	NOUN
cana-3601	34	6	–	–	PUNCT
cana-3601	34	7	identifying	identify	VERB
cana-3601	34	8	barriers	barrier	NOUN
cana-3601	34	9	to	to	ADP
cana-3601	34	10	adoption	adoption	NOUN
cana-3601	34	11	and	and	CCONJ
cana-3601	34	12	future	future	ADJ
cana-3601	34	13	research	research	NOUN
cana-3601	34	14	directions	direction	NOUN
cana-3601	34	15	.	.	PUNCT
cana-3601	35	1	6	6	X
cana-3601	35	2	.	.	X
cana-3601	35	3	conclusion	conclusion	NOUN
cana-3601	35	4	–	–	PUNCT
cana-3601	35	5	summarizing	summarize	VERB
cana-3601	35	6	the	the	DET
cana-3601	35	7	insights	insight	NOUN
cana-3601	35	8	and	and	CCONJ
cana-3601	35	9	emphasizing	emphasize	VERB
cana-3601	35	10	the	the	DET
cana-3601	35	11	transformative	transformative	ADJ
cana-3601	35	12	potential	potential	NOUN
cana-3601	35	13	of	of	ADP
cana-3601	35	14	nonlinear	nonlinear	ADJ
cana-3601	35	15	analysis	analysis	NOUN
cana-3601	35	16	in	in	ADP
cana-3601	35	17	education	education	NOUN
cana-3601	35	18	.	.	PUNCT
cana-3601	36	1	by	by	ADP
cana-3601	36	2	bridging	bridge	VERB
cana-3601	36	3	the	the	DET
cana-3601	36	4	gap	gap	NOUN
cana-3601	36	5	between	between	ADP
cana-3601	36	6	theoretical	theoretical	ADJ
cana-3601	36	7	concepts	concept	NOUN
cana-3601	36	8	and	and	CCONJ
cana-3601	36	9	practical	practical	ADJ
cana-3601	36	10	applications	application	NOUN
cana-3601	36	11	,	,	PUNCT
cana-3601	36	12	this	this	DET
cana-3601	36	13	research	research	NOUN
cana-3601	36	14	seeks	seek	VERB
cana-3601	36	15	to	to	PART
cana-3601	36	16	empower	empower	VERB
cana-3601	36	17	educators	educator	NOUN
cana-3601	36	18	,	,	PUNCT
cana-3601	36	19	administrators	administrator	NOUN
cana-3601	36	20	,	,	PUNCT
cana-3601	36	21	and	and	CCONJ
cana-3601	36	22	policymakers	policymaker	NOUN
cana-3601	36	23	with	with	ADP
cana-3601	36	24	innovative	innovative	ADJ
cana-3601	36	25	tools	tool	NOUN
cana-3601	36	26	to	to	PART
cana-3601	36	27	enhance	enhance	VERB
cana-3601	36	28	educational	educational	ADJ
cana-3601	36	29	outcomes	outcome	NOUN
cana-3601	36	30	in	in	ADP
cana-3601	36	31	an	an	DET
cana-3601	36	32	increasingly	increasingly	ADV
cana-3601	36	33	data	data	NOUN
cana-3601	36	34	-	-	PUNCT
cana-3601	36	35	driven	drive	VERB
cana-3601	36	36	world	world	NOUN
cana-3601	36	37	.	.	PUNCT
cana-3601	37	1	communications	communication	NOUN
cana-3601	37	2	on	on	ADP
cana-3601	37	3	applied	apply	VERB
cana-3601	37	4	nonlinear	nonlinear	ADJ
cana-3601	37	5	analysis	analysis	NOUN
cana-3601	37	6	issn	issn	NOUN
cana-3601	37	7	:	:	PUNCT
cana-3601	37	8	1074	1074	NUM
cana-3601	37	9	-	-	PUNCT
cana-3601	37	10	133x	133x	NUM
cana-3601	37	11	vol	vol	NOUN
cana-3601	37	12	32	32	NUM
cana-3601	37	13	no	no	NOUN
cana-3601	37	14	.	.	PUNCT
cana-3601	38	1	8s	8s	PROPN
cana-3601	38	2	(	(	PUNCT
cana-3601	38	3	2025	2025	NUM
cana-3601	38	4	)	)	PUNCT
cana-3601	38	5	77	77	NUM
cana-3601	38	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3601	38	7	literature	literature	NOUN
cana-3601	38	8	review	review	VERB
cana-3601	38	9	the	the	DET
cana-3601	38	10	application	application	NOUN
cana-3601	38	11	of	of	ADP
cana-3601	38	12	nonlinear	nonlinear	ADJ
cana-3601	38	13	analysis	analysis	NOUN
cana-3601	38	14	in	in	ADP
cana-3601	38	15	machine	machine	NOUN
cana-3601	38	16	learning	learning	NOUN
cana-3601	38	17	(	(	PUNCT
cana-3601	38	18	ml	ml	NOUN
cana-3601	38	19	)	)	PUNCT
cana-3601	38	20	for	for	ADP
cana-3601	38	21	education	education	NOUN
cana-3601	38	22	streams	stream	NOUN
cana-3601	38	23	is	be	AUX
cana-3601	38	24	a	a	DET
cana-3601	38	25	growing	grow	VERB
cana-3601	38	26	area	area	NOUN
cana-3601	38	27	of	of	ADP
cana-3601	38	28	interest	interest	NOUN
cana-3601	38	29	,	,	PUNCT
cana-3601	38	30	fueled	fuel	VERB
cana-3601	38	31	by	by	ADP
cana-3601	38	32	the	the	DET
cana-3601	38	33	increasing	increase	VERB
cana-3601	38	34	complexity	complexity	NOUN
cana-3601	38	35	of	of	ADP
cana-3601	38	36	educational	educational	ADJ
cana-3601	38	37	systems	system	NOUN
cana-3601	38	38	and	and	CCONJ
cana-3601	38	39	the	the	DET
cana-3601	38	40	demand	demand	NOUN
cana-3601	38	41	for	for	ADP
cana-3601	38	42	personalized	personalized	ADJ
cana-3601	38	43	learning	learning	NOUN
cana-3601	38	44	.	.	PUNCT
cana-3601	39	1	this	this	DET
cana-3601	39	2	review	review	NOUN
cana-3601	39	3	synthesizes	synthesize	VERB
cana-3601	39	4	the	the	DET
cana-3601	39	5	existing	exist	VERB
cana-3601	39	6	literature	literature	NOUN
cana-3601	39	7	on	on	ADP
cana-3601	39	8	the	the	DET
cana-3601	39	9	integration	integration	NOUN
cana-3601	39	10	of	of	ADP
cana-3601	39	11	machine	machine	NOUN
cana-3601	39	12	learning	learning	NOUN
cana-3601	39	13	models	model	NOUN
cana-3601	39	14	with	with	ADP
cana-3601	39	15	nonlinear	nonlinear	ADJ
cana-3601	39	16	mathematical	mathematical	ADJ
cana-3601	39	17	and	and	CCONJ
cana-3601	39	18	statistical	statistical	ADJ
cana-3601	39	19	techniques	technique	NOUN
cana-3601	39	20	,	,	PUNCT
cana-3601	39	21	providing	provide	VERB
cana-3601	39	22	insights	insight	NOUN
cana-3601	39	23	into	into	ADP
cana-3601	39	24	their	their	PRON
cana-3601	39	25	relevance	relevance	NOUN
cana-3601	39	26	,	,	PUNCT
cana-3601	39	27	advantages	advantage	NOUN
cana-3601	39	28	,	,	PUNCT
cana-3601	39	29	and	and	CCONJ
cana-3601	39	30	challenges	challenge	NOUN
cana-3601	39	31	in	in	ADP
cana-3601	39	32	educational	educational	ADJ
cana-3601	39	33	contexts	contexts	NOUN
cana-3601	39	34	.	.	PUNCT
cana-3601	40	1	nonlinear	nonlinear	ADJ
cana-3601	40	2	machine	machine	NOUN
cana-3601	40	3	learning	learning	NOUN
cana-3601	40	4	models	model	NOUN
cana-3601	40	5	in	in	ADP
cana-3601	40	6	education	education	NOUN
cana-3601	40	7	nonlinear	nonlinear	ADJ
cana-3601	40	8	machine	machine	NOUN
cana-3601	40	9	learning	learning	NOUN
cana-3601	40	10	models	model	NOUN
cana-3601	40	11	,	,	PUNCT
cana-3601	40	12	such	such	ADJ
cana-3601	40	13	as	as	ADP
cana-3601	40	14	artificial	artificial	ADJ
cana-3601	40	15	neural	neural	ADJ
cana-3601	40	16	networks	network	NOUN
cana-3601	40	17	(	(	PUNCT
cana-3601	40	18	anns	anns	PROPN
cana-3601	40	19	)	)	PUNCT
cana-3601	40	20	,	,	PUNCT
cana-3601	40	21	support	support	VERB
cana-3601	40	22	vector	vector	NOUN
cana-3601	40	23	machines	machine	NOUN
cana-3601	40	24	(	(	PUNCT
cana-3601	40	25	svms	svms	NOUN
cana-3601	40	26	)	)	PUNCT
cana-3601	40	27	,	,	PUNCT
cana-3601	40	28	and	and	CCONJ
cana-3601	40	29	decision	decision	NOUN
cana-3601	40	30	trees	tree	NOUN
cana-3601	40	31	,	,	PUNCT
cana-3601	40	32	have	have	AUX
cana-3601	40	33	gained	gain	VERB
cana-3601	40	34	significant	significant	ADJ
cana-3601	40	35	traction	traction	NOUN
cana-3601	40	36	in	in	ADP
cana-3601	40	37	educational	educational	ADJ
cana-3601	40	38	data	datum	NOUN
cana-3601	40	39	analysis	analysis	NOUN
cana-3601	40	40	.	.	PUNCT
cana-3601	41	1	breiman	breiman	NOUN
cana-3601	41	2	(	(	PUNCT
cana-3601	41	3	2001	2001	NUM
cana-3601	41	4	)	)	PUNCT
cana-3601	41	5	introduced	introduce	VERB
cana-3601	41	6	random	random	ADJ
cana-3601	41	7	forests	forest	NOUN
cana-3601	41	8	as	as	ADP
cana-3601	41	9	an	an	DET
cana-3601	41	10	ensemble	ensemble	ADJ
cana-3601	41	11	method	method	NOUN
cana-3601	41	12	that	that	PRON
cana-3601	41	13	addresses	address	VERB
cana-3601	41	14	nonlinearity	nonlinearity	NOUN
cana-3601	41	15	by	by	ADP
cana-3601	41	16	constructing	construct	VERB
cana-3601	41	17	multiple	multiple	ADJ
cana-3601	41	18	decision	decision	NOUN
cana-3601	41	19	trees	tree	NOUN
cana-3601	41	20	and	and	CCONJ
cana-3601	41	21	aggregating	aggregate	VERB
cana-3601	41	22	their	their	PRON
cana-3601	41	23	outputs	output	NOUN
cana-3601	41	24	,	,	PUNCT
cana-3601	41	25	making	make	VERB
cana-3601	41	26	it	it	PRON
cana-3601	41	27	suitable	suitable	ADJ
cana-3601	41	28	for	for	ADP
cana-3601	41	29	analyzing	analyze	VERB
cana-3601	41	30	large	large	ADJ
cana-3601	41	31	-	-	PUNCT
cana-3601	41	32	scale	scale	NOUN
cana-3601	41	33	educational	educational	ADJ
cana-3601	41	34	datasets	dataset	NOUN
cana-3601	41	35	.	.	PUNCT
cana-3601	42	1	similarly	similarly	ADV
cana-3601	42	2	,	,	PUNCT
cana-3601	42	3	vapnik	vapnik	X
cana-3601	42	4	(	(	PUNCT
cana-3601	42	5	1998	1998	NUM
cana-3601	42	6	)	)	PUNCT
cana-3601	42	7	emphasized	emphasize	VERB
cana-3601	42	8	the	the	DET
cana-3601	42	9	importance	importance	NOUN
cana-3601	42	10	of	of	ADP
cana-3601	42	11	svms	svms	NOUN
cana-3601	42	12	in	in	ADP
cana-3601	42	13	capturing	capture	VERB
cana-3601	42	14	nonlinear	nonlinear	ADJ
cana-3601	42	15	relationships	relationship	NOUN
cana-3601	42	16	in	in	ADP
cana-3601	42	17	multidimensional	multidimensional	ADJ
cana-3601	42	18	data	datum	NOUN
cana-3601	42	19	,	,	PUNCT
cana-3601	42	20	which	which	PRON
cana-3601	42	21	is	be	AUX
cana-3601	42	22	particularly	particularly	ADV
cana-3601	42	23	useful	useful	ADJ
cana-3601	42	24	in	in	ADP
cana-3601	42	25	predicting	predict	VERB
cana-3601	42	26	student	student	NOUN
cana-3601	42	27	performance	performance	NOUN
cana-3601	42	28	and	and	CCONJ
cana-3601	42	29	identifying	identify	VERB
cana-3601	42	30	at	at	ADP
cana-3601	42	31	-	-	PUNCT
cana-3601	42	32	risk	risk	NOUN
cana-3601	42	33	learners	learner	NOUN
cana-3601	42	34	.	.	PUNCT
cana-3601	43	1	goodfellow	goodfellow	PROPN
cana-3601	43	2	,	,	PUNCT
cana-3601	43	3	bengio	bengio	NOUN
cana-3601	43	4	,	,	PUNCT
cana-3601	43	5	and	and	CCONJ
cana-3601	43	6	courville	courville	X
cana-3601	43	7	(	(	PUNCT
cana-3601	43	8	2016	2016	NUM
cana-3601	43	9	)	)	PUNCT
cana-3601	43	10	highlighted	highlight	VERB
cana-3601	43	11	the	the	DET
cana-3601	43	12	effectiveness	effectiveness	NOUN
cana-3601	43	13	of	of	ADP
cana-3601	43	14	deep	deep	ADJ
cana-3601	43	15	learning	learning	NOUN
cana-3601	43	16	models	model	NOUN
cana-3601	43	17	,	,	PUNCT
cana-3601	43	18	such	such	ADJ
cana-3601	43	19	as	as	ADP
cana-3601	43	20	convolutional	convolutional	ADJ
cana-3601	43	21	neural	neural	ADJ
cana-3601	43	22	networks	network	NOUN
cana-3601	43	23	(	(	PUNCT
cana-3601	43	24	cnns	cnns	PROPN
cana-3601	43	25	)	)	PUNCT
cana-3601	43	26	and	and	CCONJ
cana-3601	43	27	recurrent	recurrent	ADJ
cana-3601	43	28	neural	neural	ADJ
cana-3601	43	29	networks	network	NOUN
cana-3601	43	30	(	(	PUNCT
cana-3601	43	31	rnns	rnns	PROPN
cana-3601	43	32	)	)	PUNCT
cana-3601	43	33	,	,	PUNCT
cana-3601	43	34	in	in	ADP
cana-3601	43	35	handling	handle	VERB
cana-3601	43	36	sequential	sequential	ADJ
cana-3601	43	37	and	and	CCONJ
cana-3601	43	38	image	image	NOUN
cana-3601	43	39	-	-	PUNCT
cana-3601	43	40	based	base	VERB
cana-3601	43	41	educational	educational	ADJ
cana-3601	43	42	data	datum	NOUN
cana-3601	43	43	.	.	PUNCT
cana-3601	44	1	for	for	ADP
cana-3601	44	2	instance	instance	NOUN
cana-3601	44	3	,	,	PUNCT
cana-3601	44	4	cnns	cnn	NOUN
cana-3601	44	5	have	have	AUX
cana-3601	44	6	been	be	AUX
cana-3601	44	7	applied	apply	VERB
cana-3601	44	8	to	to	PART
cana-3601	44	9	analyze	analyze	VERB
cana-3601	44	10	visual	visual	ADJ
cana-3601	44	11	content	content	NOUN
cana-3601	44	12	in	in	ADP
cana-3601	44	13	e	e	NOUN
cana-3601	44	14	-	-	ADJ
cana-3601	44	15	learning	learn	VERB
cana-3601	44	16	platforms	platform	NOUN
cana-3601	44	17	,	,	PUNCT
cana-3601	44	18	while	while	SCONJ
cana-3601	44	19	rnns	rnn	NOUN
cana-3601	44	20	are	be	AUX
cana-3601	44	21	utilized	utilize	VERB
cana-3601	44	22	for	for	ADP
cana-3601	44	23	time	time	NOUN
cana-3601	44	24	-	-	PUNCT
cana-3601	44	25	series	series	NOUN
cana-3601	44	26	prediction	prediction	NOUN
cana-3601	44	27	,	,	PUNCT
cana-3601	44	28	such	such	ADJ
cana-3601	44	29	as	as	ADP
cana-3601	44	30	tracking	track	VERB
cana-3601	44	31	student	student	NOUN
cana-3601	44	32	engagement	engagement	NOUN
cana-3601	44	33	patterns	pattern	NOUN
cana-3601	44	34	over	over	ADP
cana-3601	44	35	time	time	NOUN
cana-3601	44	36	(	(	PUNCT
cana-3601	44	37	zhang	zhang	PROPN
cana-3601	44	38	&	&	CCONJ
cana-3601	44	39	johnson	johnson	PROPN
cana-3601	44	40	,	,	PUNCT
cana-3601	44	41	2019	2019	NUM
cana-3601	44	42	)	)	PUNCT
cana-3601	44	43	.	.	PUNCT
cana-3601	45	1	these	these	DET
cana-3601	45	2	models	model	NOUN
cana-3601	45	3	offer	offer	VERB
cana-3601	45	4	a	a	DET
cana-3601	45	5	significant	significant	ADJ
cana-3601	45	6	advantage	advantage	NOUN
cana-3601	45	7	in	in	ADP
cana-3601	45	8	capturing	capture	VERB
cana-3601	45	9	complex	complex	ADJ
cana-3601	45	10	patterns	pattern	NOUN
cana-3601	45	11	that	that	PRON
cana-3601	45	12	traditional	traditional	ADJ
cana-3601	45	13	linear	linear	NOUN
cana-3601	45	14	models	model	NOUN
cana-3601	45	15	fail	fail	VERB
cana-3601	45	16	to	to	PART
cana-3601	45	17	identify	identify	VERB
cana-3601	45	18	.	.	PUNCT
cana-3601	46	1	mathematical	mathematical	ADJ
cana-3601	46	2	and	and	CCONJ
cana-3601	46	3	statistical	statistical	ADJ
cana-3601	46	4	perspectives	perspective	NOUN
cana-3601	46	5	the	the	DET
cana-3601	46	6	integration	integration	NOUN
cana-3601	46	7	of	of	ADP
cana-3601	46	8	nonlinear	nonlinear	ADJ
cana-3601	46	9	mathematical	mathematical	ADJ
cana-3601	46	10	techniques	technique	NOUN
cana-3601	46	11	in	in	ADP
cana-3601	46	12	machine	machine	NOUN
cana-3601	46	13	learning	learning	NOUN
cana-3601	46	14	extends	extend	VERB
cana-3601	46	15	the	the	DET
cana-3601	46	16	capabilities	capability	NOUN
cana-3601	46	17	of	of	ADP
cana-3601	46	18	educational	educational	ADJ
cana-3601	46	19	data	datum	NOUN
cana-3601	46	20	analysis	analysis	NOUN
cana-3601	46	21	.	.	PUNCT
cana-3601	47	1	chaos	chaos	NOUN
cana-3601	47	2	theory	theory	NOUN
cana-3601	47	3	,	,	PUNCT
cana-3601	47	4	as	as	SCONJ
cana-3601	47	5	discussed	discuss	VERB
cana-3601	47	6	by	by	ADP
cana-3601	47	7	yang	yang	PROPN
cana-3601	47	8	and	and	CCONJ
cana-3601	47	9	liu	liu	PROPN
cana-3601	47	10	(	(	PUNCT
cana-3601	47	11	2021	2021	NUM
cana-3601	47	12	)	)	PUNCT
cana-3601	47	13	,	,	PUNCT
cana-3601	47	14	has	have	AUX
cana-3601	47	15	been	be	AUX
cana-3601	47	16	employed	employ	VERB
cana-3601	47	17	to	to	PART
cana-3601	47	18	analyze	analyze	VERB
cana-3601	47	19	unpredictable	unpredictable	ADJ
cana-3601	47	20	behaviors	behavior	NOUN
cana-3601	47	21	in	in	ADP
cana-3601	47	22	collaborative	collaborative	ADJ
cana-3601	47	23	learning	learning	NOUN
cana-3601	47	24	environments	environment	NOUN
cana-3601	47	25	.	.	PUNCT
cana-3601	48	1	this	this	DET
cana-3601	48	2	approach	approach	NOUN
cana-3601	48	3	is	be	AUX
cana-3601	48	4	valuable	valuable	ADJ
cana-3601	48	5	for	for	ADP
cana-3601	48	6	understanding	understand	VERB
cana-3601	48	7	the	the	DET
cana-3601	48	8	dynamic	dynamic	ADJ
cana-3601	48	9	nature	nature	NOUN
cana-3601	48	10	of	of	ADP
cana-3601	48	11	group	group	NOUN
cana-3601	48	12	interactions	interaction	NOUN
cana-3601	48	13	and	and	CCONJ
cana-3601	48	14	their	their	PRON
cana-3601	48	15	impact	impact	NOUN
cana-3601	48	16	on	on	ADP
cana-3601	48	17	learning	learn	VERB
cana-3601	48	18	outcomes	outcome	NOUN
cana-3601	48	19	.	.	PUNCT
cana-3601	49	1	fractal	fractal	ADJ
cana-3601	49	2	geometry	geometry	NOUN
cana-3601	49	3	,	,	PUNCT
cana-3601	49	4	on	on	ADP
cana-3601	49	5	the	the	DET
cana-3601	49	6	other	other	ADJ
cana-3601	49	7	hand	hand	NOUN
cana-3601	49	8	,	,	PUNCT
cana-3601	49	9	provides	provide	VERB
cana-3601	49	10	insights	insight	NOUN
cana-3601	49	11	into	into	ADP
cana-3601	49	12	self	self	NOUN
cana-3601	49	13	-	-	PUNCT
cana-3601	49	14	similar	similar	ADJ
cana-3601	49	15	patterns	pattern	NOUN
cana-3601	49	16	in	in	ADP
cana-3601	49	17	educational	educational	ADJ
cana-3601	49	18	data	datum	NOUN
cana-3601	49	19	,	,	PUNCT
cana-3601	49	20	such	such	ADJ
cana-3601	49	21	as	as	ADP
cana-3601	49	22	repetitive	repetitive	ADJ
cana-3601	49	23	learning	learning	NOUN
cana-3601	49	24	behaviors	behavior	NOUN
cana-3601	49	25	or	or	CCONJ
cana-3601	49	26	engagement	engagement	NOUN
cana-3601	49	27	cycles	cycle	NOUN
cana-3601	49	28	.	.	PUNCT
cana-3601	50	1	regression	regression	NOUN
cana-3601	50	2	models	model	NOUN
cana-3601	50	3	with	with	ADP
cana-3601	50	4	nonlinear	nonlinear	ADJ
cana-3601	50	5	transformations	transformation	NOUN
cana-3601	50	6	have	have	AUX
cana-3601	50	7	also	also	ADV
cana-3601	50	8	been	be	AUX
cana-3601	50	9	explored	explore	VERB
cana-3601	50	10	in	in	ADP
cana-3601	50	11	educational	educational	ADJ
cana-3601	50	12	research	research	NOUN
cana-3601	50	13	.	.	PUNCT
cana-3601	51	1	mohri	mohri	NOUN
cana-3601	51	2	,	,	PUNCT
cana-3601	51	3	rostamizadeh	rostamizadeh	NOUN
cana-3601	51	4	,	,	PUNCT
cana-3601	51	5	and	and	CCONJ
cana-3601	51	6	talwalkar	talwalkar	NOUN
cana-3601	51	7	(	(	PUNCT
cana-3601	51	8	2018	2018	NUM
cana-3601	51	9	)	)	PUNCT
cana-3601	51	10	demonstrated	demonstrate	VERB
cana-3601	51	11	the	the	DET
cana-3601	51	12	effectiveness	effectiveness	NOUN
cana-3601	51	13	of	of	ADP
cana-3601	51	14	polynomial	polynomial	ADJ
cana-3601	51	15	regression	regression	NOUN
cana-3601	51	16	in	in	ADP
cana-3601	51	17	capturing	capture	VERB
cana-3601	51	18	curvilinear	curvilinear	ADJ
cana-3601	51	19	relationships	relationship	NOUN
cana-3601	51	20	between	between	ADP
cana-3601	51	21	variables	variable	NOUN
cana-3601	51	22	,	,	PUNCT
cana-3601	51	23	such	such	ADJ
cana-3601	51	24	as	as	ADP
cana-3601	51	25	the	the	DET
cana-3601	51	26	correlation	correlation	NOUN
cana-3601	51	27	between	between	ADP
cana-3601	51	28	study	study	NOUN
cana-3601	51	29	hours	hour	NOUN
cana-3601	51	30	and	and	CCONJ
cana-3601	51	31	academic	academic	ADJ
cana-3601	51	32	performance	performance	NOUN
cana-3601	51	33	.	.	PUNCT
cana-3601	52	1	additionally	additionally	ADV
cana-3601	52	2	,	,	PUNCT
cana-3601	52	3	advanced	advanced	ADJ
cana-3601	52	4	clustering	clustering	NOUN
cana-3601	52	5	techniques	technique	NOUN
cana-3601	52	6	like	like	ADP
cana-3601	52	7	k	k	X
cana-3601	52	8	-	-	PUNCT
cana-3601	52	9	means	mean	NOUN
cana-3601	52	10	and	and	CCONJ
cana-3601	52	11	hierarchical	hierarchical	ADJ
cana-3601	52	12	clustering	clustering	NOUN
cana-3601	52	13	have	have	AUX
cana-3601	52	14	been	be	AUX
cana-3601	52	15	used	use	VERB
cana-3601	52	16	to	to	PART
cana-3601	52	17	segment	segment	NOUN
cana-3601	52	18	students	student	NOUN
cana-3601	52	19	based	base	VERB
cana-3601	52	20	on	on	ADP
cana-3601	52	21	learning	learn	VERB
cana-3601	52	22	styles	style	NOUN
cana-3601	52	23	and	and	CCONJ
cana-3601	52	24	preferences	preference	NOUN
cana-3601	52	25	(	(	PUNCT
cana-3601	52	26	singh	singh	PROPN
cana-3601	52	27	&	&	CCONJ
cana-3601	52	28	kaur	kaur	PROPN
cana-3601	52	29	,	,	PUNCT
cana-3601	52	30	2020	2020	NUM
cana-3601	52	31	)	)	PUNCT
cana-3601	52	32	.	.	PUNCT
cana-3601	53	1	applications	application	NOUN
cana-3601	53	2	in	in	ADP
cana-3601	53	3	educational	educational	ADJ
cana-3601	53	4	streams	stream	NOUN
cana-3601	53	5	machine	machine	NOUN
cana-3601	53	6	learning	learning	NOUN
cana-3601	53	7	models	model	NOUN
cana-3601	53	8	have	have	AUX
cana-3601	53	9	been	be	AUX
cana-3601	53	10	extensively	extensively	ADV
cana-3601	53	11	applied	apply	VERB
cana-3601	53	12	in	in	ADP
cana-3601	53	13	various	various	ADJ
cana-3601	53	14	education	education	NOUN
cana-3601	53	15	streams	stream	NOUN
cana-3601	53	16	,	,	PUNCT
cana-3601	53	17	including	include	VERB
cana-3601	53	18	k-12	k-12	NOUN
cana-3601	53	19	,	,	PUNCT
cana-3601	53	20	higher	high	ADJ
cana-3601	53	21	education	education	NOUN
cana-3601	53	22	,	,	PUNCT
cana-3601	53	23	and	and	CCONJ
cana-3601	53	24	vocational	vocational	ADJ
cana-3601	53	25	training	training	NOUN
cana-3601	53	26	.	.	PUNCT
cana-3601	54	1	in	in	ADP
cana-3601	54	2	k-12	k-12	PROPN
cana-3601	54	3	education	education	NOUN
cana-3601	54	4	,	,	PUNCT
cana-3601	54	5	nonlinear	nonlinear	ADJ
cana-3601	54	6	models	model	NOUN
cana-3601	54	7	have	have	AUX
cana-3601	54	8	been	be	AUX
cana-3601	54	9	used	use	VERB
cana-3601	54	10	to	to	PART
cana-3601	54	11	predict	predict	VERB
cana-3601	54	12	academic	academic	ADJ
cana-3601	54	13	success	success	NOUN
cana-3601	54	14	and	and	CCONJ
cana-3601	54	15	identify	identify	VERB
cana-3601	54	16	students	student	NOUN
cana-3601	54	17	requiring	require	VERB
cana-3601	54	18	intervention	intervention	NOUN
cana-3601	54	19	.	.	PUNCT
cana-3601	55	1	bishop	bishop	PROPN
cana-3601	55	2	(	(	PUNCT
cana-3601	55	3	2006	2006	NUM
cana-3601	55	4	)	)	PUNCT
cana-3601	55	5	explored	explore	VERB
cana-3601	55	6	the	the	DET
cana-3601	55	7	use	use	NOUN
cana-3601	55	8	of	of	ADP
cana-3601	55	9	pattern	pattern	NOUN
cana-3601	55	10	recognition	recognition	NOUN
cana-3601	55	11	techniques	technique	NOUN
cana-3601	55	12	to	to	PART
cana-3601	55	13	analyze	analyze	VERB
cana-3601	55	14	student	student	NOUN
cana-3601	55	15	assessments	assessment	NOUN
cana-3601	55	16	and	and	CCONJ
cana-3601	55	17	tailor	tailor	NOUN
cana-3601	55	18	instructional	instructional	ADJ
cana-3601	55	19	strategies	strategy	NOUN
cana-3601	55	20	.	.	PUNCT
cana-3601	56	1	similarly	similarly	ADV
cana-3601	56	2	,	,	PUNCT
cana-3601	56	3	shalev	shalev	NOUN
cana-3601	56	4	-	-	PUNCT
cana-3601	56	5	shwartz	shwartz	PROPN
cana-3601	56	6	and	and	CCONJ
cana-3601	56	7	ben	ben	PROPN
cana-3601	56	8	-	-	PROPN
cana-3601	56	9	david	david	PROPN
cana-3601	56	10	(	(	PUNCT
cana-3601	56	11	2014	2014	NUM
cana-3601	56	12	)	)	PUNCT
cana-3601	56	13	demonstrated	demonstrate	VERB
cana-3601	56	14	how	how	SCONJ
cana-3601	56	15	ensemble	ensemble	ADJ
cana-3601	56	16	learning	learning	NOUN
cana-3601	56	17	methods	method	NOUN
cana-3601	56	18	improve	improve	VERB
cana-3601	56	19	the	the	DET
cana-3601	56	20	accuracy	accuracy	NOUN
cana-3601	56	21	of	of	ADP
cana-3601	56	22	student	student	NOUN
cana-3601	56	23	performance	performance	NOUN
cana-3601	56	24	predictions	prediction	NOUN
cana-3601	56	25	by	by	ADP
cana-3601	56	26	combining	combine	VERB
cana-3601	56	27	the	the	DET
cana-3601	56	28	strengths	strength	NOUN
cana-3601	56	29	of	of	ADP
cana-3601	56	30	multiple	multiple	ADJ
cana-3601	56	31	communications	communication	NOUN
cana-3601	56	32	on	on	ADP
cana-3601	56	33	applied	apply	VERB
cana-3601	56	34	nonlinear	nonlinear	ADJ
cana-3601	56	35	analysis	analysis	NOUN
cana-3601	56	36	issn	issn	NOUN
cana-3601	56	37	:	:	PUNCT
cana-3601	56	38	1074	1074	NUM
cana-3601	56	39	-	-	PUNCT
cana-3601	56	40	133x	133x	NUM
cana-3601	56	41	vol	vol	NOUN
cana-3601	56	42	32	32	NUM
cana-3601	56	43	no	no	NOUN
cana-3601	56	44	.	.	PUNCT
cana-3601	57	1	8s	8s	PROPN
cana-3601	57	2	(	(	PUNCT
cana-3601	57	3	2025	2025	NUM
cana-3601	57	4	)	)	PUNCT
cana-3601	57	5	78	78	NUM
cana-3601	57	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3601	57	7	models	model	NOUN
cana-3601	57	8	.	.	PUNCT
cana-3601	58	1	in	in	ADP
cana-3601	58	2	higher	high	ADJ
cana-3601	58	3	education	education	NOUN
cana-3601	58	4	,	,	PUNCT
cana-3601	58	5	predictive	predictive	ADJ
cana-3601	58	6	analytics	analytic	NOUN
cana-3601	58	7	driven	drive	VERB
cana-3601	58	8	by	by	ADP
cana-3601	58	9	nonlinear	nonlinear	ADJ
cana-3601	58	10	ml	ml	NOUN
cana-3601	58	11	models	model	NOUN
cana-3601	58	12	have	have	AUX
cana-3601	58	13	been	be	AUX
cana-3601	58	14	employed	employ	VERB
cana-3601	58	15	to	to	PART
cana-3601	58	16	optimize	optimize	VERB
cana-3601	58	17	curriculum	curriculum	NOUN
cana-3601	58	18	design	design	NOUN
cana-3601	58	19	and	and	CCONJ
cana-3601	58	20	enhance	enhance	VERB
cana-3601	58	21	resource	resource	NOUN
cana-3601	58	22	allocation	allocation	NOUN
cana-3601	58	23	.	.	PUNCT
cana-3601	59	1	for	for	ADP
cana-3601	59	2	example	example	NOUN
cana-3601	59	3	,	,	PUNCT
cana-3601	59	4	kuhn	kuhn	PROPN
cana-3601	59	5	and	and	CCONJ
cana-3601	59	6	johnson	johnson	PROPN
cana-3601	59	7	(	(	PUNCT
cana-3601	59	8	2013	2013	NUM
cana-3601	59	9	)	)	PUNCT
cana-3601	59	10	highlighted	highlight	VERB
cana-3601	59	11	the	the	DET
cana-3601	59	12	role	role	NOUN
cana-3601	59	13	of	of	ADP
cana-3601	59	14	nonlinear	nonlinear	ADJ
cana-3601	59	15	methods	method	NOUN
cana-3601	59	16	in	in	ADP
cana-3601	59	17	identifying	identify	VERB
cana-3601	59	18	courses	course	NOUN
cana-3601	59	19	with	with	ADP
cana-3601	59	20	high	high	ADJ
cana-3601	59	21	dropout	dropout	NOUN
cana-3601	59	22	rates	rate	NOUN
cana-3601	59	23	and	and	CCONJ
cana-3601	59	24	recommending	recommend	VERB
cana-3601	59	25	remedial	remedial	ADJ
cana-3601	59	26	measures	measure	NOUN
cana-3601	59	27	.	.	PUNCT
cana-3601	60	1	furthermore	furthermore	ADV
cana-3601	60	2	,	,	PUNCT
cana-3601	60	3	prasad	prasad	PROPN
cana-3601	60	4	and	and	CCONJ
cana-3601	60	5	sharma	sharma	PROPN
cana-3601	60	6	(	(	PUNCT
cana-3601	60	7	2019	2019	NUM
cana-3601	60	8	)	)	PUNCT
cana-3601	60	9	discussed	discuss	VERB
cana-3601	60	10	the	the	DET
cana-3601	60	11	application	application	NOUN
cana-3601	60	12	of	of	ADP
cana-3601	60	13	nonlinear	nonlinear	ADJ
cana-3601	60	14	statistical	statistical	ADJ
cana-3601	60	15	techniques	technique	NOUN
cana-3601	60	16	in	in	ADP
cana-3601	60	17	evaluating	evaluate	VERB
cana-3601	60	18	the	the	DET
cana-3601	60	19	effectiveness	effectiveness	NOUN
cana-3601	60	20	of	of	ADP
cana-3601	60	21	e	e	NOUN
cana-3601	60	22	-	-	ADJ
cana-3601	60	23	learning	learn	VERB
cana-3601	60	24	platforms	platform	NOUN
cana-3601	60	25	,	,	PUNCT
cana-3601	60	26	emphasizing	emphasize	VERB
cana-3601	60	27	their	their	PRON
cana-3601	60	28	ability	ability	NOUN
cana-3601	60	29	to	to	PART
cana-3601	60	30	uncover	uncover	VERB
cana-3601	60	31	hidden	hidden	ADJ
cana-3601	60	32	patterns	pattern	NOUN
cana-3601	60	33	in	in	ADP
cana-3601	60	34	user	user	NOUN
cana-3601	60	35	engagement	engagement	NOUN
cana-3601	60	36	data	data	PROPN
cana-3601	60	37	.	.	PUNCT
cana-3601	61	1	addressing	address	VERB
cana-3601	61	2	data	datum	NOUN
cana-3601	61	3	heterogeneity	heterogeneity	NOUN
cana-3601	61	4	and	and	CCONJ
cana-3601	61	5	noise	noise	VERB
cana-3601	61	6	one	one	NUM
cana-3601	61	7	of	of	ADP
cana-3601	61	8	the	the	DET
cana-3601	61	9	significant	significant	ADJ
cana-3601	61	10	challenges	challenge	NOUN
cana-3601	61	11	in	in	ADP
cana-3601	61	12	educational	educational	ADJ
cana-3601	61	13	data	datum	NOUN
cana-3601	61	14	analysis	analysis	NOUN
cana-3601	61	15	is	be	AUX
cana-3601	61	16	the	the	DET
cana-3601	61	17	heterogeneity	heterogeneity	NOUN
cana-3601	61	18	and	and	CCONJ
cana-3601	61	19	noise	noise	NOUN
cana-3601	61	20	present	present	ADJ
cana-3601	61	21	in	in	ADP
cana-3601	61	22	datasets	dataset	NOUN
cana-3601	61	23	.	.	PUNCT
cana-3601	62	1	witten	witten	PROPN
cana-3601	62	2	,	,	PUNCT
cana-3601	62	3	frank	frank	ADJ
cana-3601	62	4	,	,	PUNCT
cana-3601	62	5	and	and	CCONJ
cana-3601	62	6	hall	hall	NOUN
cana-3601	62	7	(	(	PUNCT
cana-3601	62	8	2017	2017	NUM
cana-3601	62	9	)	)	PUNCT
cana-3601	62	10	explored	explore	VERB
cana-3601	62	11	the	the	DET
cana-3601	62	12	use	use	NOUN
cana-3601	62	13	of	of	ADP
cana-3601	62	14	robust	robust	ADJ
cana-3601	62	15	nonlinear	nonlinear	ADJ
cana-3601	62	16	techniques	technique	NOUN
cana-3601	62	17	,	,	PUNCT
cana-3601	62	18	such	such	ADJ
cana-3601	62	19	as	as	ADP
cana-3601	62	20	noise	noise	NOUN
cana-3601	62	21	reduction	reduction	NOUN
cana-3601	62	22	algorithms	algorithm	NOUN
cana-3601	62	23	and	and	CCONJ
cana-3601	62	24	anomaly	anomaly	NOUN
cana-3601	62	25	detection	detection	NOUN
cana-3601	62	26	,	,	PUNCT
cana-3601	62	27	to	to	PART
cana-3601	62	28	preprocess	preprocess	VERB
cana-3601	62	29	educational	educational	ADJ
cana-3601	62	30	data	datum	NOUN
cana-3601	62	31	.	.	PUNCT
cana-3601	63	1	these	these	DET
cana-3601	63	2	methods	method	NOUN
cana-3601	63	3	improve	improve	VERB
cana-3601	63	4	the	the	DET
cana-3601	63	5	reliability	reliability	NOUN
cana-3601	63	6	and	and	CCONJ
cana-3601	63	7	validity	validity	NOUN
cana-3601	63	8	of	of	ADP
cana-3601	63	9	predictive	predictive	ADJ
cana-3601	63	10	models	model	NOUN
cana-3601	63	11	,	,	PUNCT
cana-3601	63	12	ensuring	ensure	VERB
cana-3601	63	13	that	that	SCONJ
cana-3601	63	14	insights	insight	NOUN
cana-3601	63	15	derived	derive	VERB
cana-3601	63	16	from	from	ADP
cana-3601	63	17	the	the	DET
cana-3601	63	18	data	datum	NOUN
cana-3601	63	19	are	be	AUX
cana-3601	63	20	actionable	actionable	ADJ
cana-3601	63	21	.	.	PUNCT
cana-3601	64	1	the	the	DET
cana-3601	64	2	use	use	NOUN
cana-3601	64	3	of	of	ADP
cana-3601	64	4	fuzzy	fuzzy	ADJ
cana-3601	64	5	logic	logic	NOUN
cana-3601	64	6	in	in	ADP
cana-3601	64	7	educational	educational	ADJ
cana-3601	64	8	data	datum	NOUN
cana-3601	64	9	analysis	analysis	NOUN
cana-3601	64	10	has	have	AUX
cana-3601	64	11	also	also	ADV
cana-3601	64	12	been	be	AUX
cana-3601	64	13	widely	widely	ADV
cana-3601	64	14	documented	document	VERB
cana-3601	64	15	.	.	PUNCT
cana-3601	65	1	zadeh	zadeh	PROPN
cana-3601	65	2	(	(	PUNCT
cana-3601	65	3	1965	1965	NUM
cana-3601	65	4	)	)	PUNCT
cana-3601	65	5	introduced	introduce	VERB
cana-3601	65	6	fuzzy	fuzzy	ADJ
cana-3601	65	7	sets	set	NOUN
cana-3601	65	8	as	as	ADP
cana-3601	65	9	a	a	DET
cana-3601	65	10	means	means	NOUN
cana-3601	65	11	to	to	PART
cana-3601	65	12	handle	handle	VERB
cana-3601	65	13	uncertainty	uncertainty	NOUN
cana-3601	65	14	and	and	CCONJ
cana-3601	65	15	ambiguity	ambiguity	NOUN
cana-3601	65	16	in	in	ADP
cana-3601	65	17	data	datum	NOUN
cana-3601	65	18	,	,	PUNCT
cana-3601	65	19	making	make	VERB
cana-3601	65	20	them	they	PRON
cana-3601	65	21	particularly	particularly	ADV
cana-3601	65	22	relevant	relevant	ADJ
cana-3601	65	23	for	for	ADP
cana-3601	65	24	assessing	assess	VERB
cana-3601	65	25	qualitative	qualitative	ADJ
cana-3601	65	26	aspects	aspect	NOUN
cana-3601	65	27	of	of	ADP
cana-3601	65	28	education	education	NOUN
cana-3601	65	29	,	,	PUNCT
cana-3601	65	30	such	such	ADJ
cana-3601	65	31	as	as	ADP
cana-3601	65	32	student	student	NOUN
cana-3601	65	33	satisfaction	satisfaction	NOUN
cana-3601	65	34	and	and	CCONJ
cana-3601	65	35	teacher	teacher	NOUN
cana-3601	65	36	effectiveness	effectiveness	NOUN
cana-3601	65	37	.	.	PUNCT
cana-3601	66	1	comparative	comparative	ADJ
cana-3601	66	2	studies	study	NOUN
cana-3601	66	3	and	and	CCONJ
cana-3601	66	4	case	case	NOUN
cana-3601	66	5	examples	example	NOUN
cana-3601	66	6	comparative	comparative	ADJ
cana-3601	66	7	studies	study	NOUN
cana-3601	66	8	have	have	AUX
cana-3601	66	9	demonstrated	demonstrate	VERB
cana-3601	66	10	the	the	DET
cana-3601	66	11	superiority	superiority	NOUN
cana-3601	66	12	of	of	ADP
cana-3601	66	13	nonlinear	nonlinear	ADJ
cana-3601	66	14	models	model	NOUN
cana-3601	66	15	over	over	ADP
cana-3601	66	16	traditional	traditional	ADJ
cana-3601	66	17	approaches	approach	NOUN
cana-3601	66	18	in	in	ADP
cana-3601	66	19	educational	educational	ADJ
cana-3601	66	20	data	datum	NOUN
cana-3601	66	21	analytics	analytic	NOUN
cana-3601	66	22	.	.	PUNCT
cana-3601	67	1	for	for	ADP
cana-3601	67	2	instance	instance	NOUN
cana-3601	67	3	,	,	PUNCT
cana-3601	67	4	ng	ng	PROPN
cana-3601	67	5	and	and	CCONJ
cana-3601	67	6	jordan	jordan	PROPN
cana-3601	67	7	(	(	PUNCT
cana-3601	67	8	2002	2002	NUM
cana-3601	67	9	)	)	PUNCT
cana-3601	67	10	compared	compare	VERB
cana-3601	67	11	logistic	logistic	ADJ
cana-3601	67	12	regression	regression	NOUN
cana-3601	67	13	with	with	ADP
cana-3601	67	14	naive	naive	ADJ
cana-3601	67	15	bayes	bayes	NOUN
cana-3601	67	16	classifiers	classifier	NOUN
cana-3601	67	17	,	,	PUNCT
cana-3601	67	18	finding	find	VERB
cana-3601	67	19	that	that	SCONJ
cana-3601	67	20	nonlinear	nonlinear	ADJ
cana-3601	67	21	methods	method	NOUN
cana-3601	67	22	provided	provide	VERB
cana-3601	67	23	better	well	ADJ
cana-3601	67	24	performance	performance	NOUN
cana-3601	67	25	in	in	ADP
cana-3601	67	26	predicting	predict	VERB
cana-3601	67	27	student	student	NOUN
cana-3601	67	28	outcomes	outcome	NOUN
cana-3601	67	29	.	.	PUNCT
cana-3601	68	1	case	case	NOUN
cana-3601	68	2	studies	study	NOUN
cana-3601	68	3	from	from	ADP
cana-3601	68	4	real	real	ADJ
cana-3601	68	5	-	-	PUNCT
cana-3601	68	6	world	world	NOUN
cana-3601	68	7	applications	application	NOUN
cana-3601	68	8	further	far	ADV
cana-3601	68	9	illustrate	illustrate	VERB
cana-3601	68	10	the	the	DET
cana-3601	68	11	transformative	transformative	ADJ
cana-3601	68	12	potential	potential	NOUN
cana-3601	68	13	of	of	ADP
cana-3601	68	14	these	these	DET
cana-3601	68	15	models	model	NOUN
cana-3601	68	16	.	.	PUNCT
cana-3601	69	1	for	for	ADP
cana-3601	69	2	example	example	NOUN
cana-3601	69	3	,	,	PUNCT
cana-3601	69	4	yang	yang	PROPN
cana-3601	69	5	and	and	CCONJ
cana-3601	69	6	liu	liu	PROPN
cana-3601	69	7	(	(	PUNCT
cana-3601	69	8	2021	2021	NUM
cana-3601	69	9	)	)	PUNCT
cana-3601	69	10	employed	employ	VERB
cana-3601	69	11	chaos	chaos	NOUN
cana-3601	69	12	theory	theory	NOUN
cana-3601	69	13	to	to	PART
cana-3601	69	14	analyze	analyze	VERB
cana-3601	69	15	peer	peer	NOUN
cana-3601	69	16	interactions	interaction	NOUN
cana-3601	69	17	in	in	ADP
cana-3601	69	18	online	online	ADJ
cana-3601	69	19	learning	learning	NOUN
cana-3601	69	20	platforms	platform	NOUN
cana-3601	69	21	,	,	PUNCT
cana-3601	69	22	identifying	identify	VERB
cana-3601	69	23	critical	critical	ADJ
cana-3601	69	24	factors	factor	NOUN
cana-3601	69	25	influencing	influence	VERB
cana-3601	69	26	collaboration	collaboration	NOUN
cana-3601	69	27	.	.	PUNCT
cana-3601	70	1	challenges	challenge	NOUN
cana-3601	70	2	and	and	CCONJ
cana-3601	70	3	research	research	NOUN
cana-3601	70	4	gaps	gap	NOUN
cana-3601	70	5	despite	despite	SCONJ
cana-3601	70	6	their	their	PRON
cana-3601	70	7	advantages	advantage	NOUN
cana-3601	70	8	,	,	PUNCT
cana-3601	70	9	nonlinear	nonlinear	ADJ
cana-3601	70	10	machine	machine	NOUN
cana-3601	70	11	learning	learning	NOUN
cana-3601	70	12	models	model	NOUN
cana-3601	70	13	face	face	VERB
cana-3601	70	14	several	several	ADJ
cana-3601	70	15	challenges	challenge	NOUN
cana-3601	70	16	in	in	ADP
cana-3601	70	17	educational	educational	ADJ
cana-3601	70	18	contexts	contexts	NOUN
cana-3601	70	19	.	.	PUNCT
cana-3601	71	1	the	the	DET
cana-3601	71	2	complexity	complexity	NOUN
cana-3601	71	3	of	of	ADP
cana-3601	71	4	these	these	DET
cana-3601	71	5	models	model	NOUN
cana-3601	71	6	often	often	ADV
cana-3601	71	7	requires	require	VERB
cana-3601	71	8	significant	significant	ADJ
cana-3601	71	9	computational	computational	ADJ
cana-3601	71	10	resources	resource	NOUN
cana-3601	71	11	,	,	PUNCT
cana-3601	71	12	which	which	PRON
cana-3601	71	13	may	may	AUX
cana-3601	71	14	not	not	PART
cana-3601	71	15	be	be	AUX
cana-3601	71	16	available	available	ADJ
cana-3601	71	17	in	in	ADP
cana-3601	71	18	all	all	DET
cana-3601	71	19	educational	educational	ADJ
cana-3601	71	20	institutions	institution	NOUN
cana-3601	71	21	.	.	PUNCT
cana-3601	72	1	additionally	additionally	ADV
cana-3601	72	2	,	,	PUNCT
cana-3601	72	3	the	the	DET
cana-3601	72	4	interpretability	interpretability	NOUN
cana-3601	72	5	of	of	ADP
cana-3601	72	6	nonlinear	nonlinear	ADJ
cana-3601	72	7	models	model	NOUN
cana-3601	72	8	remains	remain	VERB
cana-3601	72	9	a	a	DET
cana-3601	72	10	concern	concern	NOUN
cana-3601	72	11	,	,	PUNCT
cana-3601	72	12	as	as	SCONJ
cana-3601	72	13	educators	educator	NOUN
cana-3601	72	14	and	and	CCONJ
cana-3601	72	15	policymakers	policymaker	NOUN
cana-3601	72	16	often	often	ADV
cana-3601	72	17	require	require	VERB
cana-3601	72	18	clear	clear	ADJ
cana-3601	72	19	explanations	explanation	NOUN
cana-3601	72	20	of	of	ADP
cana-3601	72	21	how	how	SCONJ
cana-3601	72	22	predictions	prediction	NOUN
cana-3601	72	23	are	be	AUX
cana-3601	72	24	made	make	VERB
cana-3601	72	25	(	(	PUNCT
cana-3601	72	26	hastie	hastie	PROPN
cana-3601	72	27	,	,	PUNCT
cana-3601	72	28	tibshirani	tibshirani	PROPN
cana-3601	72	29	,	,	PUNCT
cana-3601	72	30	&	&	CCONJ
cana-3601	72	31	friedman	friedman	PROPN
cana-3601	72	32	,	,	PUNCT
cana-3601	72	33	2009	2009	NUM
cana-3601	72	34	)	)	PUNCT
cana-3601	72	35	.	.	PUNCT
cana-3601	73	1	research	research	NOUN
cana-3601	73	2	gaps	gap	NOUN
cana-3601	73	3	include	include	VERB
cana-3601	73	4	the	the	DET
cana-3601	73	5	need	need	NOUN
cana-3601	73	6	for	for	ADP
cana-3601	73	7	more	more	ADV
cana-3601	73	8	extensive	extensive	ADJ
cana-3601	73	9	datasets	dataset	NOUN
cana-3601	73	10	to	to	PART
cana-3601	73	11	validate	validate	VERB
cana-3601	73	12	nonlinear	nonlinear	ADJ
cana-3601	73	13	models	model	NOUN
cana-3601	73	14	across	across	ADP
cana-3601	73	15	diverse	diverse	ADJ
cana-3601	73	16	educational	educational	ADJ
cana-3601	73	17	settings	setting	NOUN
cana-3601	73	18	and	and	CCONJ
cana-3601	73	19	the	the	DET
cana-3601	73	20	development	development	NOUN
cana-3601	73	21	of	of	ADP
cana-3601	73	22	hybrid	hybrid	ADJ
cana-3601	73	23	models	model	NOUN
cana-3601	73	24	that	that	PRON
cana-3601	73	25	combine	combine	VERB
cana-3601	73	26	the	the	DET
cana-3601	73	27	strengths	strength	NOUN
cana-3601	73	28	of	of	ADP
cana-3601	73	29	linear	linear	ADJ
cana-3601	73	30	and	and	CCONJ
cana-3601	73	31	nonlinear	nonlinear	ADJ
cana-3601	73	32	approaches	approach	NOUN
cana-3601	73	33	.	.	PUNCT
cana-3601	74	1	the	the	DET
cana-3601	74	2	lack	lack	NOUN
cana-3601	74	3	of	of	ADP
cana-3601	74	4	standardized	standardized	ADJ
cana-3601	74	5	frameworks	framework	NOUN
cana-3601	74	6	for	for	ADP
cana-3601	74	7	implementing	implement	VERB
cana-3601	74	8	nonlinear	nonlinear	ADJ
cana-3601	74	9	analysis	analysis	NOUN
cana-3601	74	10	in	in	ADP
cana-3601	74	11	education	education	NOUN
cana-3601	74	12	further	further	ADJ
cana-3601	74	13	highlights	highlight	NOUN
cana-3601	74	14	the	the	DET
cana-3601	74	15	need	need	NOUN
cana-3601	74	16	for	for	ADP
cana-3601	74	17	collaborative	collaborative	ADJ
cana-3601	74	18	efforts	effort	NOUN
cana-3601	74	19	among	among	ADP
cana-3601	74	20	researchers	researcher	NOUN
cana-3601	74	21	,	,	PUNCT
cana-3601	74	22	practitioners	practitioner	NOUN
cana-3601	74	23	,	,	PUNCT
cana-3601	74	24	and	and	CCONJ
cana-3601	74	25	policymakers	policymaker	NOUN
cana-3601	74	26	.	.	PUNCT
cana-3601	75	1	the	the	DET
cana-3601	75	2	literature	literature	NOUN
cana-3601	75	3	underscores	underscore	VERB
cana-3601	75	4	the	the	DET
cana-3601	75	5	transformative	transformative	ADJ
cana-3601	75	6	potential	potential	NOUN
cana-3601	75	7	of	of	ADP
cana-3601	75	8	nonlinear	nonlinear	ADJ
cana-3601	75	9	analysis	analysis	NOUN
cana-3601	75	10	in	in	ADP
cana-3601	75	11	machine	machine	NOUN
cana-3601	75	12	learning	learning	NOUN
cana-3601	75	13	models	model	NOUN
cana-3601	75	14	for	for	ADP
cana-3601	75	15	education	education	NOUN
cana-3601	75	16	.	.	PUNCT
cana-3601	76	1	by	by	ADP
cana-3601	76	2	addressing	address	VERB
cana-3601	76	3	the	the	DET
cana-3601	76	4	limitations	limitation	NOUN
cana-3601	76	5	of	of	ADP
cana-3601	76	6	traditional	traditional	ADJ
cana-3601	76	7	approaches	approach	NOUN
cana-3601	76	8	,	,	PUNCT
cana-3601	76	9	these	these	DET
cana-3601	76	10	techniques	technique	NOUN
cana-3601	76	11	enable	enable	VERB
cana-3601	76	12	deeper	deep	ADJ
cana-3601	76	13	insights	insight	NOUN
cana-3601	76	14	into	into	ADP
cana-3601	76	15	complex	complex	ADJ
cana-3601	76	16	educational	educational	ADJ
cana-3601	76	17	data	datum	NOUN
cana-3601	76	18	,	,	PUNCT
cana-3601	76	19	paving	pave	VERB
cana-3601	76	20	the	the	DET
cana-3601	76	21	way	way	NOUN
cana-3601	76	22	for	for	ADP
cana-3601	76	23	personalized	personalized	ADJ
cana-3601	76	24	learning	learning	NOUN
cana-3601	76	25	,	,	PUNCT
cana-3601	76	26	improved	improved	ADJ
cana-3601	76	27	decision	decision	NOUN
cana-3601	76	28	-	-	PUNCT
cana-3601	76	29	making	making	NOUN
cana-3601	76	30	,	,	PUNCT
cana-3601	76	31	and	and	CCONJ
cana-3601	76	32	enhanced	enhance	VERB
cana-3601	76	33	educational	educational	ADJ
cana-3601	76	34	outcomes	outcome	NOUN
cana-3601	76	35	.	.	PUNCT
cana-3601	77	1	however	however	ADV
cana-3601	77	2	,	,	PUNCT
cana-3601	77	3	challenges	challenge	NOUN
cana-3601	77	4	related	relate	VERB
cana-3601	77	5	to	to	ADP
cana-3601	77	6	computational	computational	ADJ
cana-3601	77	7	requirements	requirement	NOUN
cana-3601	77	8	,	,	PUNCT
cana-3601	77	9	interpretability	interpretability	NOUN
cana-3601	77	10	,	,	PUNCT
cana-3601	77	11	and	and	CCONJ
cana-3601	77	12	standardization	standardization	NOUN
cana-3601	77	13	must	must	AUX
cana-3601	77	14	be	be	AUX
cana-3601	77	15	addressed	address	VERB
cana-3601	77	16	to	to	PART
cana-3601	77	17	fully	fully	ADV
cana-3601	77	18	realize	realize	VERB
cana-3601	77	19	the	the	DET
cana-3601	77	20	benefits	benefit	NOUN
cana-3601	77	21	of	of	ADP
cana-3601	77	22	these	these	DET
cana-3601	77	23	models	model	NOUN
cana-3601	77	24	.	.	PUNCT
cana-3601	78	1	this	this	DET
cana-3601	78	2	review	review	NOUN
cana-3601	78	3	highlights	highlight	VERB
cana-3601	78	4	the	the	DET
cana-3601	78	5	need	need	NOUN
cana-3601	78	6	for	for	ADP
cana-3601	78	7	future	future	ADJ
cana-3601	78	8	research	research	NOUN
cana-3601	78	9	to	to	PART
cana-3601	78	10	focus	focus	VERB
cana-3601	78	11	on	on	ADP
cana-3601	78	12	developing	develop	VERB
cana-3601	78	13	scalable	scalable	ADJ
cana-3601	78	14	,	,	PUNCT
cana-3601	78	15	communications	communication	NOUN
cana-3601	78	16	on	on	ADP
cana-3601	78	17	applied	apply	VERB
cana-3601	78	18	nonlinear	nonlinear	ADJ
cana-3601	78	19	analysis	analysis	NOUN
cana-3601	78	20	issn	issn	NOUN
cana-3601	78	21	:	:	PUNCT
cana-3601	78	22	1074	1074	NUM
cana-3601	78	23	-	-	PUNCT
cana-3601	78	24	133x	133x	NUM
cana-3601	78	25	vol	vol	NOUN
cana-3601	78	26	32	32	NUM
cana-3601	78	27	no	no	NOUN
cana-3601	78	28	.	.	PUNCT
cana-3601	79	1	8s	8s	PROPN
cana-3601	79	2	(	(	PUNCT
cana-3601	79	3	2025	2025	NUM
cana-3601	79	4	)	)	PUNCT
cana-3601	79	5	79	79	NUM
cana-3601	80	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3601	80	2	interpretable	interpretable	ADJ
cana-3601	80	3	,	,	PUNCT
cana-3601	80	4	and	and	CCONJ
cana-3601	80	5	hybrid	hybrid	ADJ
cana-3601	80	6	nonlinear	nonlinear	ADJ
cana-3601	80	7	models	model	NOUN
cana-3601	80	8	tailored	tailor	VERB
cana-3601	80	9	to	to	ADP
cana-3601	80	10	the	the	DET
cana-3601	80	11	unique	unique	ADJ
cana-3601	80	12	demands	demand	NOUN
cana-3601	80	13	of	of	ADP
cana-3601	80	14	educational	educational	ADJ
cana-3601	80	15	systems	system	NOUN
cana-3601	80	16	.	.	PUNCT
cana-3601	81	1	through	through	ADP
cana-3601	81	2	collaborative	collaborative	ADJ
cana-3601	81	3	efforts	effort	NOUN
cana-3601	81	4	,	,	PUNCT
cana-3601	81	5	the	the	DET
cana-3601	81	6	integration	integration	NOUN
cana-3601	81	7	of	of	ADP
cana-3601	81	8	advanced	advanced	ADJ
cana-3601	81	9	machine	machine	NOUN
cana-3601	81	10	learning	learn	VERB
cana-3601	81	11	techniques	technique	NOUN
cana-3601	81	12	with	with	ADP
cana-3601	81	13	nonlinear	nonlinear	ADJ
cana-3601	81	14	analysis	analysis	NOUN
cana-3601	81	15	can	can	AUX
cana-3601	81	16	significantly	significantly	ADV
cana-3601	81	17	contribute	contribute	VERB
cana-3601	81	18	to	to	ADP
cana-3601	81	19	the	the	DET
cana-3601	81	20	evolution	evolution	NOUN
cana-3601	81	21	of	of	ADP
cana-3601	81	22	education	education	NOUN
cana-3601	81	23	in	in	ADP
cana-3601	81	24	the	the	DET
cana-3601	81	25	data	data	NOUN
cana-3601	81	26	-	-	PUNCT
cana-3601	81	27	driven	drive	VERB
cana-3601	81	28	era	era	NOUN
cana-3601	81	29	.	.	PUNCT
cana-3601	82	1	applied	apply	VERB
cana-3601	82	2	nonlinear	nonlinear	ADJ
cana-3601	82	3	analysis	analysis	NOUN
cana-3601	82	4	of	of	ADP
cana-3601	82	5	machine	machine	NOUN
cana-3601	82	6	learning	learning	NOUN
cana-3601	82	7	models	model	NOUN
cana-3601	82	8	for	for	ADP
cana-3601	82	9	education	education	NOUN
cana-3601	82	10	streams	stream	NOUN
cana-3601	82	11	scope	scope	NOUN
cana-3601	82	12	the	the	DET
cana-3601	82	13	scope	scope	NOUN
cana-3601	82	14	of	of	ADP
cana-3601	82	15	this	this	DET
cana-3601	82	16	study	study	NOUN
cana-3601	82	17	focuses	focus	VERB
cana-3601	82	18	on	on	ADP
cana-3601	82	19	integrating	integrate	VERB
cana-3601	82	20	nonlinear	nonlinear	ADJ
cana-3601	82	21	mathematical	mathematical	ADJ
cana-3601	82	22	and	and	CCONJ
cana-3601	82	23	statistical	statistical	ADJ
cana-3601	82	24	techniques	technique	NOUN
cana-3601	82	25	with	with	ADP
cana-3601	82	26	machine	machine	NOUN
cana-3601	82	27	learning	learning	NOUN
cana-3601	82	28	models	model	NOUN
cana-3601	82	29	to	to	PART
cana-3601	82	30	address	address	VERB
cana-3601	82	31	challenges	challenge	NOUN
cana-3601	82	32	in	in	ADP
cana-3601	82	33	educational	educational	ADJ
cana-3601	82	34	data	datum	NOUN
cana-3601	82	35	analytics	analytic	NOUN
cana-3601	82	36	.	.	PUNCT
cana-3601	83	1	by	by	ADP
cana-3601	83	2	exploring	explore	VERB
cana-3601	83	3	complex	complex	ADJ
cana-3601	83	4	,	,	PUNCT
cana-3601	83	5	multidimensional	multidimensional	ADJ
cana-3601	83	6	relationships	relationship	NOUN
cana-3601	83	7	inherent	inherent	ADJ
cana-3601	83	8	in	in	ADP
cana-3601	83	9	educational	educational	ADJ
cana-3601	83	10	data	datum	NOUN
cana-3601	83	11	,	,	PUNCT
cana-3601	83	12	the	the	DET
cana-3601	83	13	study	study	NOUN
cana-3601	83	14	aims	aim	VERB
cana-3601	83	15	to	to	PART
cana-3601	83	16	provide	provide	VERB
cana-3601	83	17	actionable	actionable	ADJ
cana-3601	83	18	insights	insight	NOUN
cana-3601	83	19	for	for	ADP
cana-3601	83	20	stakeholders	stakeholder	NOUN
cana-3601	83	21	,	,	PUNCT
cana-3601	83	22	including	include	VERB
cana-3601	83	23	educators	educator	NOUN
cana-3601	83	24	,	,	PUNCT
cana-3601	83	25	administrators	administrator	NOUN
cana-3601	83	26	,	,	PUNCT
cana-3601	83	27	and	and	CCONJ
cana-3601	83	28	policymakers	policymaker	NOUN
cana-3601	83	29	.	.	PUNCT
cana-3601	84	1	key	key	ADJ
cana-3601	84	2	areas	area	NOUN
cana-3601	84	3	within	within	ADP
cana-3601	84	4	the	the	DET
cana-3601	84	5	scope	scope	NOUN
cana-3601	84	6	include	include	VERB
cana-3601	84	7	:	:	PUNCT
cana-3601	84	8	1	1	X
cana-3601	84	9	.	.	X
cana-3601	84	10	student	student	NOUN
cana-3601	84	11	performance	performance	NOUN
cana-3601	84	12	analysis	analysis	NOUN
cana-3601	84	13	:	:	PUNCT
cana-3601	84	14	identifying	identify	VERB
cana-3601	84	15	nonlinear	nonlinear	ADJ
cana-3601	84	16	patterns	pattern	NOUN
cana-3601	84	17	to	to	PART
cana-3601	84	18	predict	predict	VERB
cana-3601	84	19	academic	academic	ADJ
cana-3601	84	20	outcomes	outcome	NOUN
cana-3601	84	21	and	and	CCONJ
cana-3601	84	22	detect	detect	VERB
cana-3601	84	23	at	at	ADP
cana-3601	84	24	-	-	PUNCT
cana-3601	84	25	risk	risk	NOUN
cana-3601	84	26	students	student	NOUN
cana-3601	84	27	.	.	PUNCT
cana-3601	85	1	2	2	X
cana-3601	85	2	.	.	X
cana-3601	85	3	curriculum	curriculum	NOUN
cana-3601	85	4	optimization	optimization	NOUN
cana-3601	85	5	:	:	PUNCT
cana-3601	85	6	analyzing	analyze	VERB
cana-3601	85	7	the	the	DET
cana-3601	85	8	effectiveness	effectiveness	NOUN
cana-3601	85	9	of	of	ADP
cana-3601	85	10	instructional	instructional	ADJ
cana-3601	85	11	strategies	strategy	NOUN
cana-3601	85	12	and	and	CCONJ
cana-3601	85	13	adapting	adapt	VERB
cana-3601	85	14	content	content	NOUN
cana-3601	85	15	to	to	PART
cana-3601	85	16	diverse	diverse	VERB
cana-3601	85	17	learning	learning	NOUN
cana-3601	85	18	needs	need	NOUN
cana-3601	85	19	.	.	PUNCT
cana-3601	86	1	3	3	X
cana-3601	86	2	.	.	X
cana-3601	86	3	engagement	engagement	NOUN
cana-3601	86	4	monitoring	monitoring	NOUN
cana-3601	86	5	:	:	PUNCT
cana-3601	86	6	evaluating	evaluate	VERB
cana-3601	86	7	trends	trend	NOUN
cana-3601	86	8	in	in	ADP
cana-3601	86	9	student	student	NOUN
cana-3601	86	10	engagement	engagement	NOUN
cana-3601	86	11	and	and	CCONJ
cana-3601	86	12	their	their	PRON
cana-3601	86	13	impact	impact	NOUN
cana-3601	86	14	on	on	ADP
cana-3601	86	15	learning	learn	VERB
cana-3601	86	16	outcomes	outcome	NOUN
cana-3601	86	17	.	.	PUNCT
cana-3601	87	1	4	4	X
cana-3601	87	2	.	.	X
cana-3601	87	3	equity	equity	NOUN
cana-3601	87	4	and	and	CCONJ
cana-3601	87	5	inclusivity	inclusivity	NOUN
cana-3601	87	6	:	:	PUNCT
cana-3601	87	7	leveraging	leverage	VERB
cana-3601	87	8	nonlinear	nonlinear	ADJ
cana-3601	87	9	methods	method	NOUN
cana-3601	87	10	to	to	PART
cana-3601	87	11	address	address	VERB
cana-3601	87	12	disparities	disparity	NOUN
cana-3601	87	13	in	in	ADP
cana-3601	87	14	access	access	NOUN
cana-3601	87	15	to	to	ADP
cana-3601	87	16	education	education	NOUN
cana-3601	87	17	and	and	CCONJ
cana-3601	87	18	tailor	tailor	NOUN
cana-3601	87	19	interventions	intervention	NOUN
cana-3601	87	20	for	for	ADP
cana-3601	87	21	underrepresented	underrepresented	ADJ
cana-3601	87	22	groups	group	NOUN
cana-3601	87	23	.	.	PUNCT
cana-3601	88	1	5	5	X
cana-3601	88	2	.	.	X
cana-3601	88	3	e	e	X
cana-3601	88	4	-	-	ADJ
cana-3601	88	5	learning	learn	VERB
cana-3601	88	6	systems	system	NOUN
cana-3601	88	7	:	:	PUNCT
cana-3601	88	8	enhancing	enhance	VERB
cana-3601	88	9	the	the	DET
cana-3601	88	10	functionality	functionality	NOUN
cana-3601	88	11	of	of	ADP
cana-3601	88	12	online	online	ADJ
cana-3601	88	13	education	education	NOUN
cana-3601	88	14	platforms	platform	NOUN
cana-3601	88	15	through	through	ADP
cana-3601	88	16	personalized	personalize	VERB
cana-3601	88	17	content	content	NOUN
cana-3601	88	18	delivery	delivery	NOUN
cana-3601	88	19	and	and	CCONJ
cana-3601	88	20	adaptive	adaptive	ADJ
cana-3601	88	21	learning	learning	NOUN
cana-3601	88	22	mechanisms	mechanism	NOUN
cana-3601	88	23	.	.	PUNCT
cana-3601	89	1	opportunities	opportunitie	VERB
cana-3601	89	2	the	the	DET
cana-3601	89	3	application	application	NOUN
cana-3601	89	4	of	of	ADP
cana-3601	89	5	nonlinear	nonlinear	ADJ
cana-3601	89	6	machine	machine	NOUN
cana-3601	89	7	learning	learning	NOUN
cana-3601	89	8	models	model	NOUN
cana-3601	89	9	presents	present	VERB
cana-3601	89	10	numerous	numerous	ADJ
cana-3601	89	11	opportunities	opportunity	NOUN
cana-3601	89	12	:	:	PUNCT
cana-3601	89	13	1	1	X
cana-3601	89	14	.	.	X
cana-3601	89	15	improved	improve	VERB
cana-3601	89	16	predictive	predictive	ADJ
cana-3601	89	17	accuracy	accuracy	NOUN
cana-3601	89	18	:	:	PUNCT
cana-3601	89	19	nonlinear	nonlinear	ADJ
cana-3601	89	20	models	model	NOUN
cana-3601	89	21	,	,	PUNCT
cana-3601	89	22	such	such	ADJ
cana-3601	89	23	as	as	ADP
cana-3601	89	24	neural	neural	ADJ
cana-3601	89	25	networks	network	NOUN
cana-3601	89	26	and	and	CCONJ
cana-3601	89	27	ensemble	ensemble	ADJ
cana-3601	89	28	methods	method	NOUN
cana-3601	89	29	,	,	PUNCT
cana-3601	89	30	outperform	outperform	ADJ
cana-3601	89	31	traditional	traditional	ADJ
cana-3601	89	32	linear	linear	ADJ
cana-3601	89	33	models	model	NOUN
cana-3601	89	34	in	in	ADP
cana-3601	89	35	handling	handle	VERB
cana-3601	89	36	complex	complex	ADJ
cana-3601	89	37	data	datum	NOUN
cana-3601	89	38	,	,	PUNCT
cana-3601	89	39	leading	lead	VERB
cana-3601	89	40	to	to	ADP
cana-3601	89	41	better	well	ADJ
cana-3601	89	42	predictions	prediction	NOUN
cana-3601	89	43	.	.	PUNCT
cana-3601	90	1	2	2	X
cana-3601	90	2	.	.	X
cana-3601	90	3	personalized	personalized	ADJ
cana-3601	90	4	learning	learning	NOUN
cana-3601	90	5	:	:	PUNCT
cana-3601	91	1	insights	insight	NOUN
cana-3601	91	2	derived	derive	VERB
cana-3601	91	3	from	from	ADP
cana-3601	91	4	nonlinear	nonlinear	ADJ
cana-3601	91	5	analysis	analysis	NOUN
cana-3601	91	6	can	can	AUX
cana-3601	91	7	inform	inform	VERB
cana-3601	91	8	adaptive	adaptive	ADJ
cana-3601	91	9	learning	learning	NOUN
cana-3601	91	10	technologies	technology	NOUN
cana-3601	91	11	,	,	PUNCT
cana-3601	91	12	offering	offer	VERB
cana-3601	91	13	customized	customized	ADJ
cana-3601	91	14	learning	learn	VERB
cana-3601	91	15	experiences	experience	NOUN
cana-3601	91	16	for	for	ADP
cana-3601	91	17	students	student	NOUN
cana-3601	91	18	.	.	PUNCT
cana-3601	92	1	3	3	X
cana-3601	92	2	.	.	X
cana-3601	92	3	early	early	ADJ
cana-3601	92	4	intervention	intervention	NOUN
cana-3601	92	5	:	:	PUNCT
cana-3601	92	6	by	by	ADP
cana-3601	92	7	identifying	identify	VERB
cana-3601	92	8	patterns	pattern	NOUN
cana-3601	92	9	that	that	PRON
cana-3601	92	10	signify	signify	VERB
cana-3601	92	11	potential	potential	ADJ
cana-3601	92	12	dropouts	dropout	NOUN
cana-3601	92	13	or	or	CCONJ
cana-3601	92	14	declining	decline	VERB
cana-3601	92	15	performance	performance	NOUN
cana-3601	92	16	,	,	PUNCT
cana-3601	92	17	educators	educator	NOUN
cana-3601	92	18	can	can	AUX
cana-3601	92	19	implement	implement	VERB
cana-3601	92	20	timely	timely	ADJ
cana-3601	92	21	support	support	NOUN
cana-3601	92	22	measures	measure	NOUN
cana-3601	92	23	.	.	PUNCT
cana-3601	93	1	4	4	X
cana-3601	93	2	.	.	NUM
cana-3601	93	3	enhanced	enhance	VERB
cana-3601	93	4	resource	resource	NOUN
cana-3601	93	5	allocation	allocation	NOUN
cana-3601	93	6	:	:	PUNCT
cana-3601	93	7	administrators	administrator	NOUN
cana-3601	93	8	can	can	AUX
cana-3601	93	9	use	use	VERB
cana-3601	93	10	nonlinear	nonlinear	ADJ
cana-3601	93	11	models	model	NOUN
cana-3601	93	12	to	to	PART
cana-3601	93	13	optimize	optimize	VERB
cana-3601	93	14	resource	resource	NOUN
cana-3601	93	15	distribution	distribution	NOUN
cana-3601	93	16	,	,	PUNCT
cana-3601	93	17	such	such	ADJ
cana-3601	93	18	as	as	ADP
cana-3601	93	19	scheduling	scheduling	NOUN
cana-3601	93	20	classes	class	NOUN
cana-3601	93	21	or	or	CCONJ
cana-3601	93	22	allocating	allocate	VERB
cana-3601	93	23	funding	funding	NOUN
cana-3601	93	24	.	.	PUNCT
cana-3601	94	1	5	5	X
cana-3601	94	2	.	.	X
cana-3601	94	3	advanced	advanced	ADJ
cana-3601	94	4	research	research	NOUN
cana-3601	94	5	capabilities	capability	NOUN
cana-3601	94	6	:	:	PUNCT
cana-3601	94	7	researchers	researcher	NOUN
cana-3601	94	8	gain	gain	VERB
cana-3601	94	9	a	a	DET
cana-3601	94	10	powerful	powerful	ADJ
cana-3601	94	11	toolkit	toolkit	NOUN
cana-3601	94	12	to	to	PART
cana-3601	94	13	investigate	investigate	VERB
cana-3601	94	14	phenomena	phenomenon	NOUN
cana-3601	94	15	like	like	ADP
cana-3601	94	16	chaotic	chaotic	ADJ
cana-3601	94	17	behaviors	behavior	NOUN
cana-3601	94	18	in	in	ADP
cana-3601	94	19	collaborative	collaborative	ADJ
cana-3601	94	20	learning	learning	NOUN
cana-3601	94	21	and	and	CCONJ
cana-3601	94	22	the	the	DET
cana-3601	94	23	impact	impact	NOUN
cana-3601	94	24	of	of	ADP
cana-3601	94	25	socioeconomic	socioeconomic	ADJ
cana-3601	94	26	factors	factor	NOUN
cana-3601	94	27	on	on	ADP
cana-3601	94	28	education	education	NOUN
cana-3601	94	29	.	.	PUNCT
cana-3601	95	1	methodology	methodology	NOUN
cana-3601	95	2	the	the	DET
cana-3601	95	3	methodology	methodology	NOUN
cana-3601	95	4	for	for	ADP
cana-3601	95	5	this	this	DET
cana-3601	95	6	study	study	NOUN
cana-3601	95	7	combines	combine	VERB
cana-3601	95	8	advanced	advanced	ADJ
cana-3601	95	9	machine	machine	NOUN
cana-3601	95	10	learning	learn	VERB
cana-3601	95	11	techniques	technique	NOUN
cana-3601	95	12	,	,	PUNCT
cana-3601	95	13	nonlinear	nonlinear	ADJ
cana-3601	95	14	mathematical	mathematical	ADJ
cana-3601	95	15	frameworks	framework	NOUN
cana-3601	95	16	,	,	PUNCT
cana-3601	95	17	and	and	CCONJ
cana-3601	95	18	rigorous	rigorous	ADJ
cana-3601	95	19	statistical	statistical	ADJ
cana-3601	95	20	analysis	analysis	NOUN
cana-3601	95	21	.	.	PUNCT
cana-3601	96	1	it	it	PRON
cana-3601	96	2	includes	include	VERB
cana-3601	96	3	the	the	DET
cana-3601	96	4	following	follow	VERB
cana-3601	96	5	steps	step	NOUN
cana-3601	96	6	:	:	PUNCT
cana-3601	96	7	communications	communication	NOUN
cana-3601	96	8	on	on	ADP
cana-3601	96	9	applied	apply	VERB
cana-3601	96	10	nonlinear	nonlinear	ADJ
cana-3601	96	11	analysis	analysis	NOUN
cana-3601	96	12	issn	issn	NOUN
cana-3601	96	13	:	:	PUNCT
cana-3601	96	14	1074	1074	NUM
cana-3601	96	15	-	-	PUNCT
cana-3601	96	16	133x	133x	NUM
cana-3601	96	17	vol	vol	NOUN
cana-3601	96	18	32	32	NUM
cana-3601	96	19	no	no	NOUN
cana-3601	96	20	.	.	PUNCT
cana-3601	97	1	8s	8s	PROPN
cana-3601	97	2	(	(	PUNCT
cana-3601	97	3	2025	2025	NUM
cana-3601	97	4	)	)	PUNCT
cana-3601	97	5	80	80	NUM
cana-3601	97	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3601	97	7	1	1	X
cana-3601	97	8	.	.	PUNCT
cana-3601	97	9	data	datum	NOUN
cana-3601	97	10	collection	collection	NOUN
cana-3601	97	11	•	•	NOUN
cana-3601	97	12	sources	source	NOUN
cana-3601	97	13	:	:	PUNCT
cana-3601	97	14	educational	educational	ADJ
cana-3601	97	15	datasets	dataset	NOUN
cana-3601	97	16	from	from	ADP
cana-3601	97	17	schools	school	NOUN
cana-3601	97	18	,	,	PUNCT
cana-3601	97	19	universities	university	NOUN
cana-3601	97	20	,	,	PUNCT
cana-3601	97	21	and	and	CCONJ
cana-3601	97	22	e	e	X
cana-3601	97	23	-	-	ADJ
cana-3601	97	24	learning	learn	VERB
cana-3601	97	25	platforms	platform	NOUN
cana-3601	97	26	.	.	PUNCT
cana-3601	98	1	•	•	NUM
cana-3601	98	2	types	type	NOUN
cana-3601	98	3	of	of	ADP
cana-3601	98	4	data	datum	NOUN
cana-3601	98	5	:	:	PUNCT
cana-3601	98	6	student	student	NOUN
cana-3601	98	7	performance	performance	NOUN
cana-3601	98	8	records	record	NOUN
cana-3601	98	9	,	,	PUNCT
cana-3601	98	10	engagement	engagement	NOUN
cana-3601	98	11	metrics	metric	NOUN
cana-3601	98	12	,	,	PUNCT
cana-3601	98	13	demographic	demographic	ADJ
cana-3601	98	14	information	information	NOUN
cana-3601	98	15	,	,	PUNCT
cana-3601	98	16	and	and	CCONJ
cana-3601	98	17	course	course	VERB
cana-3601	98	18	completion	completion	NOUN
cana-3601	98	19	rates	rate	NOUN
cana-3601	98	20	.	.	PUNCT
cana-3601	99	1	•	•	NOUN
cana-3601	99	2	tools	tool	NOUN
cana-3601	99	3	:	:	PUNCT
cana-3601	99	4	public	public	ADJ
cana-3601	99	5	datasets	dataset	NOUN
cana-3601	99	6	(	(	PUNCT
cana-3601	99	7	e.g.	e.g.	ADV
cana-3601	99	8	,	,	PUNCT
cana-3601	99	9	uci	uci	NOUN
cana-3601	99	10	machine	machine	NOUN
cana-3601	99	11	learning	learn	VERB
cana-3601	99	12	repository	repository	NOUN
cana-3601	99	13	)	)	PUNCT
cana-3601	99	14	,	,	PUNCT
cana-3601	99	15	surveys	survey	NOUN
cana-3601	99	16	,	,	PUNCT
cana-3601	99	17	and	and	CCONJ
cana-3601	99	18	institutional	institutional	ADJ
cana-3601	99	19	data	datum	NOUN
cana-3601	99	20	.	.	PUNCT
cana-3601	100	1	2	2	X
cana-3601	100	2	.	.	X
cana-3601	100	3	preprocessing	preprocesse	VERB
cana-3601	100	4	and	and	CCONJ
cana-3601	100	5	cleaning	clean	VERB
cana-3601	100	6	•	•	NOUN
cana-3601	100	7	data	datum	NOUN
cana-3601	100	8	cleaning	cleaning	NOUN
cana-3601	100	9	:	:	PUNCT
cana-3601	100	10	handling	handle	VERB
cana-3601	100	11	missing	miss	VERB
cana-3601	100	12	values	value	NOUN
cana-3601	100	13	,	,	PUNCT
cana-3601	100	14	outliers	outlier	NOUN
cana-3601	100	15	,	,	PUNCT
cana-3601	100	16	and	and	CCONJ
cana-3601	100	17	inconsistencies	inconsistency	NOUN
cana-3601	100	18	.	.	PUNCT
cana-3601	101	1	•	•	NUM
cana-3601	101	2	normalization	normalization	NOUN
cana-3601	101	3	and	and	CCONJ
cana-3601	101	4	scaling	scaling	NOUN
cana-3601	101	5	:	:	PUNCT
cana-3601	101	6	preparing	prepare	VERB
cana-3601	101	7	data	datum	NOUN
cana-3601	101	8	for	for	ADP
cana-3601	101	9	nonlinear	nonlinear	ADJ
cana-3601	101	10	models	model	NOUN
cana-3601	101	11	by	by	ADP
cana-3601	101	12	normalizing	normalize	VERB
cana-3601	101	13	features	feature	NOUN
cana-3601	101	14	.	.	PUNCT
cana-3601	102	1	•	•	NUM
cana-3601	102	2	dimensionality	dimensionality	NOUN
cana-3601	102	3	reduction	reduction	NOUN
cana-3601	102	4	:	:	PUNCT
cana-3601	102	5	applying	apply	VERB
cana-3601	102	6	techniques	technique	NOUN
cana-3601	102	7	like	like	ADP
cana-3601	102	8	principal	principal	ADJ
cana-3601	102	9	component	component	NOUN
cana-3601	102	10	analysis	analysis	NOUN
cana-3601	102	11	(	(	PUNCT
cana-3601	102	12	pca	pca	NOUN
cana-3601	102	13	)	)	PUNCT
cana-3601	102	14	to	to	PART
cana-3601	102	15	reduce	reduce	VERB
cana-3601	102	16	data	datum	NOUN
cana-3601	102	17	complexity	complexity	NOUN
cana-3601	102	18	.	.	PUNCT
cana-3601	103	1	3	3	X
cana-3601	103	2	.	.	PUNCT
cana-3601	103	3	model	model	NOUN
cana-3601	103	4	selection	selection	NOUN
cana-3601	103	5	•	•	NUM
cana-3601	103	6	neural	neural	ADJ
cana-3601	103	7	networks	network	NOUN
cana-3601	103	8	:	:	PUNCT
cana-3601	103	9	for	for	ADP
cana-3601	103	10	deep	deep	ADJ
cana-3601	103	11	,	,	PUNCT
cana-3601	103	12	nonlinear	nonlinear	ADJ
cana-3601	103	13	pattern	pattern	NOUN
cana-3601	103	14	recognition	recognition	NOUN
cana-3601	103	15	in	in	ADP
cana-3601	103	16	large	large	ADJ
cana-3601	103	17	datasets	dataset	NOUN
cana-3601	103	18	.	.	PUNCT
cana-3601	104	1	•	•	NUM
cana-3601	104	2	support	support	NOUN
cana-3601	104	3	vector	vector	NOUN
cana-3601	104	4	machines	machine	NOUN
cana-3601	104	5	(	(	PUNCT
cana-3601	104	6	svms	svms	NOUN
cana-3601	104	7	):	):	PUNCT
cana-3601	104	8	effective	effective	ADJ
cana-3601	104	9	for	for	ADP
cana-3601	104	10	small	small	ADJ
cana-3601	104	11	-	-	PUNCT
cana-3601	104	12	to	to	ADP
cana-3601	104	13	-	-	PUNCT
cana-3601	104	14	medium	medium	NOUN
cana-3601	104	15	-	-	PUNCT
cana-3601	104	16	sized	sized	ADJ
cana-3601	104	17	datasets	dataset	NOUN
cana-3601	104	18	with	with	ADP
cana-3601	104	19	complex	complex	ADJ
cana-3601	104	20	relationships	relationship	NOUN
cana-3601	104	21	.	.	PUNCT
cana-3601	105	1	•	•	NUM
cana-3601	105	2	decision	decision	NOUN
cana-3601	105	3	trees	tree	NOUN
cana-3601	105	4	and	and	CCONJ
cana-3601	105	5	random	random	ADJ
cana-3601	105	6	forests	forest	NOUN
cana-3601	105	7	:	:	PUNCT
cana-3601	105	8	useful	useful	ADJ
cana-3601	105	9	for	for	ADP
cana-3601	105	10	understanding	understand	VERB
cana-3601	105	11	feature	feature	NOUN
cana-3601	105	12	importance	importance	NOUN
cana-3601	105	13	and	and	CCONJ
cana-3601	105	14	making	make	VERB
cana-3601	105	15	interpretable	interpretable	ADJ
cana-3601	105	16	predictions	prediction	NOUN
cana-3601	105	17	.	.	PUNCT
cana-3601	106	1	•	•	NUM
cana-3601	106	2	ensemble	ensemble	ADJ
cana-3601	106	3	methods	method	NOUN
cana-3601	106	4	:	:	PUNCT
cana-3601	106	5	combining	combine	VERB
cana-3601	106	6	multiple	multiple	ADJ
cana-3601	106	7	models	model	NOUN
cana-3601	106	8	to	to	PART
cana-3601	106	9	enhance	enhance	VERB
cana-3601	106	10	accuracy	accuracy	NOUN
cana-3601	106	11	and	and	CCONJ
cana-3601	106	12	robustness	robustness	NOUN
cana-3601	106	13	.	.	PUNCT
cana-3601	107	1	4	4	X
cana-3601	107	2	.	.	NOUN
cana-3601	107	3	mathematical	mathematical	ADJ
cana-3601	107	4	frameworks	framework	NOUN
cana-3601	107	5	•	•	NUM
cana-3601	107	6	chaos	chaos	NOUN
cana-3601	107	7	theory	theory	NOUN
cana-3601	107	8	:	:	PUNCT
cana-3601	107	9	analyzing	analyze	VERB
cana-3601	107	10	dynamic	dynamic	ADJ
cana-3601	107	11	,	,	PUNCT
cana-3601	107	12	unpredictable	unpredictable	ADJ
cana-3601	107	13	behaviors	behavior	NOUN
cana-3601	107	14	in	in	ADP
cana-3601	107	15	learning	learn	VERB
cana-3601	107	16	environments	environment	NOUN
cana-3601	107	17	.	.	PUNCT
cana-3601	108	1	•	•	NUM
cana-3601	108	2	fractal	fractal	ADJ
cana-3601	108	3	geometry	geometry	NOUN
cana-3601	108	4	:	:	PUNCT
cana-3601	108	5	exploring	explore	VERB
cana-3601	108	6	self	self	NOUN
cana-3601	108	7	-	-	PUNCT
cana-3601	108	8	similar	similar	ADJ
cana-3601	108	9	patterns	pattern	NOUN
cana-3601	108	10	in	in	ADP
cana-3601	108	11	educational	educational	ADJ
cana-3601	108	12	data	datum	NOUN
cana-3601	108	13	,	,	PUNCT
cana-3601	108	14	such	such	ADJ
cana-3601	108	15	as	as	ADP
cana-3601	108	16	repetitive	repetitive	ADJ
cana-3601	108	17	learning	learning	NOUN
cana-3601	108	18	behaviors	behavior	NOUN
cana-3601	108	19	.	.	PUNCT
cana-3601	109	1	•	•	NUM
cana-3601	109	2	nonlinear	nonlinear	ADJ
cana-3601	109	3	regression	regression	NOUN
cana-3601	109	4	models	model	NOUN
cana-3601	109	5	:	:	PUNCT
cana-3601	109	6	capturing	capture	VERB
cana-3601	109	7	curvilinear	curvilinear	ADJ
cana-3601	109	8	relationships	relationship	NOUN
cana-3601	109	9	,	,	PUNCT
cana-3601	109	10	such	such	ADJ
cana-3601	109	11	as	as	ADP
cana-3601	109	12	between	between	ADP
cana-3601	109	13	effort	effort	NOUN
cana-3601	109	14	and	and	CCONJ
cana-3601	109	15	performance	performance	NOUN
cana-3601	109	16	.	.	PUNCT
cana-3601	110	1	5	5	X
cana-3601	110	2	.	.	PUNCT
cana-3601	110	3	model	model	NOUN
cana-3601	110	4	training	training	NOUN
cana-3601	110	5	and	and	CCONJ
cana-3601	110	6	validation	validation	NOUN
cana-3601	110	7	•	•	NOUN
cana-3601	110	8	training	training	NOUN
cana-3601	110	9	:	:	PUNCT
cana-3601	110	10	splitting	split	VERB
cana-3601	110	11	data	datum	NOUN
cana-3601	110	12	into	into	ADP
cana-3601	110	13	training	training	NOUN
cana-3601	110	14	and	and	CCONJ
cana-3601	110	15	test	test	NOUN
cana-3601	110	16	sets	set	NOUN
cana-3601	110	17	(	(	PUNCT
cana-3601	110	18	e.g.	e.g.	ADV
cana-3601	110	19	,	,	PUNCT
cana-3601	110	20	80%-20	80%-20	NUM
cana-3601	110	21	%	%	NOUN
cana-3601	110	22	)	)	PUNCT
cana-3601	110	23	.	.	PUNCT
cana-3601	111	1	•	•	NUM
cana-3601	111	2	validation	validation	NOUN
cana-3601	111	3	:	:	PUNCT
cana-3601	111	4	using	use	VERB
cana-3601	111	5	techniques	technique	NOUN
cana-3601	111	6	like	like	ADP
cana-3601	111	7	k	k	ADJ
cana-3601	111	8	-	-	ADJ
cana-3601	111	9	fold	fold	ADJ
cana-3601	111	10	cross	cross	NOUN
cana-3601	111	11	-	-	NOUN
cana-3601	111	12	validation	validation	NOUN
cana-3601	111	13	to	to	PART
cana-3601	111	14	evaluate	evaluate	VERB
cana-3601	111	15	model	model	NOUN
cana-3601	111	16	performance	performance	NOUN
cana-3601	111	17	.	.	PUNCT
cana-3601	112	1	•	•	NUM
cana-3601	112	2	hyperparameter	hyperparameter	NOUN
cana-3601	112	3	tuning	tuning	NOUN
cana-3601	112	4	:	:	PUNCT
cana-3601	112	5	optimizing	optimize	VERB
cana-3601	112	6	model	model	NOUN
cana-3601	112	7	parameters	parameter	NOUN
cana-3601	112	8	through	through	ADP
cana-3601	112	9	grid	grid	NOUN
cana-3601	112	10	search	search	NOUN
cana-3601	112	11	or	or	CCONJ
cana-3601	112	12	random	random	ADJ
cana-3601	112	13	search	search	NOUN
cana-3601	112	14	.	.	PUNCT
cana-3601	113	1	6	6	NUM
cana-3601	113	2	.	.	X
cana-3601	113	3	evaluation	evaluation	NOUN
cana-3601	113	4	metrics	metric	NOUN
cana-3601	113	5	•	•	ADV
cana-3601	113	6	accuracy	accuracy	NOUN
cana-3601	113	7	,	,	PUNCT
cana-3601	113	8	precision	precision	NOUN
cana-3601	113	9	,	,	PUNCT
cana-3601	113	10	recall	recall	NOUN
cana-3601	113	11	,	,	PUNCT
cana-3601	113	12	and	and	CCONJ
cana-3601	113	13	f1	f1	NOUN
cana-3601	113	14	-	-	PUNCT
cana-3601	113	15	score	score	NOUN
cana-3601	113	16	for	for	ADP
cana-3601	113	17	classification	classification	NOUN
cana-3601	113	18	models	model	NOUN
cana-3601	113	19	.	.	PUNCT
cana-3601	114	1	•	•	NUM
cana-3601	114	2	mean	mean	VERB
cana-3601	114	3	squared	square	VERB
cana-3601	114	4	error	error	NOUN
cana-3601	114	5	(	(	PUNCT
cana-3601	114	6	mse	mse	NOUN
cana-3601	114	7	)	)	PUNCT
cana-3601	114	8	and	and	CCONJ
cana-3601	114	9	r	r	NOUN
cana-3601	114	10	-	-	PUNCT
cana-3601	114	11	squared	square	VERB
cana-3601	114	12	for	for	ADP
cana-3601	114	13	regression	regression	NOUN
cana-3601	114	14	models	model	NOUN
cana-3601	114	15	.	.	PUNCT
cana-3601	115	1	•	•	NUM
cana-3601	115	2	feature	feature	NOUN
cana-3601	115	3	importance	importance	NOUN
cana-3601	115	4	analysis	analysis	NOUN
cana-3601	115	5	to	to	PART
cana-3601	115	6	interpret	interpret	VERB
cana-3601	115	7	key	key	ADJ
cana-3601	115	8	drivers	driver	NOUN
cana-3601	115	9	of	of	ADP
cana-3601	115	10	model	model	NOUN
cana-3601	115	11	predictions	prediction	NOUN
cana-3601	115	12	.	.	PUNCT
cana-3601	116	1	communications	communication	NOUN
cana-3601	116	2	on	on	ADP
cana-3601	116	3	applied	apply	VERB
cana-3601	116	4	nonlinear	nonlinear	ADJ
cana-3601	116	5	analysis	analysis	NOUN
cana-3601	116	6	issn	issn	NOUN
cana-3601	116	7	:	:	PUNCT
cana-3601	116	8	1074	1074	NUM
cana-3601	116	9	-	-	PUNCT
cana-3601	116	10	133x	133x	NUM
cana-3601	116	11	vol	vol	NOUN
cana-3601	116	12	32	32	NUM
cana-3601	116	13	no	no	NOUN
cana-3601	116	14	.	.	PUNCT
cana-3601	117	1	8s	8s	PROPN
cana-3601	117	2	(	(	PUNCT
cana-3601	117	3	2025	2025	NUM
cana-3601	117	4	)	)	PUNCT
cana-3601	117	5	81	81	NUM
cana-3601	117	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3601	117	7	result	result	NOUN
cana-3601	117	8	&	&	CCONJ
cana-3601	117	9	observations	observation	NOUN
cana-3601	117	10	table1	table1	PROPN
cana-3601	117	11	:	:	PUNCT
cana-3601	117	12	model	model	NOUN
cana-3601	117	13	comparison	comparison	NOUN
cana-3601	117	14	for	for	ADP
cana-3601	117	15	student	student	NOUN
cana-3601	117	16	performance	performance	NOUN
cana-3601	117	17	prediction	prediction	NOUN
cana-3601	117	18	week	week	NOUN
cana-3601	117	19	average	average	ADJ
cana-3601	117	20	daily	daily	ADJ
cana-3601	117	21	engagement	engagement	NOUN
cana-3601	117	22	(	(	PUNCT
cana-3601	117	23	minutes	minute	NOUN
cana-3601	117	24	)	)	PUNCT
cana-3601	117	25	completion	completion	NOUN
cana-3601	117	26	rate	rate	NOUN
cana-3601	117	27	(	(	PUNCT
cana-3601	117	28	%	%	NOUN
cana-3601	117	29	)	)	PUNCT
cana-3601	117	30	1	1	NUM
cana-3601	117	31	81	81	NUM
cana-3601	117	32	85	85	NUM
cana-3601	117	33	2	2	NUM
cana-3601	117	34	44	44	NUM
cana-3601	117	35	89	89	NUM
cana-3601	117	36	3	3	NUM
cana-3601	117	37	101	101	NUM
cana-3601	117	38	73	73	NUM
cana-3601	117	39	4	4	NUM
cana-3601	117	40	90	90	NUM
cana-3601	117	41	52	52	NUM
cana-3601	117	42	5	5	NUM
cana-3601	117	43	50	50	NUM
cana-3601	117	44	71	71	NUM
cana-3601	117	45	6	6	NUM
cana-3601	117	46	112	112	NUM
cana-3601	117	47	51	51	NUM
cana-3601	117	48	7	7	NUM
cana-3601	117	49	116	116	NUM
cana-3601	117	50	73	73	NUM
cana-3601	117	51	8	8	NUM
cana-3601	117	52	104	104	NUM
cana-3601	117	53	93	93	NUM
cana-3601	117	54	9	9	NUM
cana-3601	117	55	104	104	NUM
cana-3601	117	56	79	79	NUM
cana-3601	117	57	10	10	NUM
cana-3601	117	58	117	117	NUM
cana-3601	117	59	87	87	NUM
cana-3601	117	60	fig.1	fig.1	PROPN
cana-3601	117	61	:	:	PUNCT
cana-3601	117	62	model	model	PROPN
cana-3601	117	63	accuracy	accuracy	NOUN
cana-3601	117	64	comparison	comparison	NOUN
cana-3601	117	65	:	:	PUNCT
cana-3601	117	66	visualizing	visualize	VERB
cana-3601	117	67	the	the	DET
cana-3601	117	68	accuracy	accuracy	NOUN
cana-3601	117	69	of	of	ADP
cana-3601	117	70	various	various	ADJ
cana-3601	117	71	machine	machine	NOUN
cana-3601	117	72	learning	learning	NOUN
cana-3601	117	73	models	model	NOUN
cana-3601	117	74	in	in	ADP
cana-3601	117	75	predicting	predict	VERB
cana-3601	117	76	student	student	NOUN
cana-3601	117	77	performance	performance	NOUN
cana-3601	117	78	.	.	PUNCT
cana-3601	118	1	table	table	NOUN
cana-3601	118	2	2	2	NUM
cana-3601	118	3	:	:	PUNCT
cana-3601	118	4	engagement	engagement	NOUN
cana-3601	118	5	patterns	pattern	NOUN
cana-3601	118	6	analysis	analysis	NOUN
cana-3601	118	7	(	(	PUNCT
cana-3601	118	8	online	online	ADJ
cana-3601	118	9	learning	learning	NOUN
cana-3601	118	10	)	)	PUNCT
cana-3601	118	11	model	model	NOUN
cana-3601	118	12	accuracy	accuracy	NOUN
cana-3601	118	13	(	(	PUNCT
cana-3601	118	14	%	%	INTJ
cana-3601	118	15	)	)	PUNCT
cana-3601	118	16	precision	precision	NOUN
cana-3601	118	17	(	(	PUNCT
cana-3601	118	18	%	%	INTJ
cana-3601	118	19	)	)	PUNCT
cana-3601	118	20	recall	recall	NOUN
cana-3601	118	21	(	(	PUNCT
cana-3601	118	22	%	%	NOUN
cana-3601	118	23	)	)	PUNCT
cana-3601	119	1	linear	linear	ADJ
cana-3601	119	2	regression	regression	NOUN
cana-3601	119	3	75	75	NUM
cana-3601	119	4	72	72	NUM
cana-3601	119	5	70	70	NUM
cana-3601	119	6	decision	decision	NOUN
cana-3601	119	7	tree	tree	NOUN
cana-3601	119	8	82	82	NUM
cana-3601	119	9	80	80	NUM
cana-3601	119	10	81	81	NUM
cana-3601	119	11	random	random	ADJ
cana-3601	119	12	forest	forest	NOUN
cana-3601	119	13	88	88	NUM
cana-3601	119	14	87	87	NUM
cana-3601	119	15	86	86	NUM
cana-3601	119	16	support	support	NOUN
cana-3601	119	17	vector	vector	NOUN
cana-3601	119	18	machine	machine	NOUN
cana-3601	119	19	85	85	NUM
cana-3601	119	20	84	84	NUM
cana-3601	119	21	82	82	NUM
cana-3601	119	22	neural	neural	ADJ
cana-3601	119	23	network	network	NOUN
cana-3601	119	24	91	91	NUM
cana-3601	119	25	90	90	NUM
cana-3601	119	26	89	89	NUM
cana-3601	119	27	fig.2	fig.2	NOUN
cana-3601	119	28	:	:	PUNCT
cana-3601	119	29	engagement	engagement	NOUN
cana-3601	119	30	patterns	pattern	NOUN
cana-3601	119	31	over	over	ADP
cana-3601	119	32	time	time	NOUN
cana-3601	119	33	:	:	PUNCT
cana-3601	119	34	showing	show	VERB
cana-3601	119	35	trends	trend	NOUN
cana-3601	119	36	in	in	ADP
cana-3601	119	37	average	average	ADJ
cana-3601	119	38	daily	daily	ADJ
cana-3601	119	39	engagement	engagement	NOUN
cana-3601	119	40	and	and	CCONJ
cana-3601	119	41	completion	completion	NOUN
cana-3601	119	42	rates	rate	NOUN
cana-3601	119	43	over	over	ADP
cana-3601	119	44	a	a	DET
cana-3601	119	45	10	10	NUM
cana-3601	119	46	-	-	PUNCT
cana-3601	119	47	week	week	NOUN
cana-3601	119	48	period	period	NOUN
cana-3601	119	49	.	.	PUNCT
cana-3601	120	1	communications	communication	NOUN
cana-3601	120	2	on	on	ADP
cana-3601	120	3	applied	apply	VERB
cana-3601	120	4	nonlinear	nonlinear	ADJ
cana-3601	120	5	analysis	analysis	NOUN
cana-3601	120	6	issn	issn	NOUN
cana-3601	120	7	:	:	PUNCT
cana-3601	120	8	1074	1074	NUM
cana-3601	120	9	-	-	PUNCT
cana-3601	120	10	133x	133x	NUM
cana-3601	120	11	vol	vol	NOUN
cana-3601	120	12	32	32	NUM
cana-3601	120	13	no	no	NOUN
cana-3601	120	14	.	.	PUNCT
cana-3601	121	1	8s	8s	PROPN
cana-3601	121	2	(	(	PUNCT
cana-3601	121	3	2025	2025	NUM
cana-3601	121	4	)	)	PUNCT
cana-3601	121	5	82	82	NUM
cana-3601	121	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3601	121	7	table	table	NOUN
cana-3601	121	8	3	3	NUM
cana-3601	121	9	:	:	PUNCT
cana-3601	121	10	feature	feature	VERB
cana-3601	121	11	importance	importance	NOUN
cana-3601	121	12	for	for	ADP
cana-3601	121	13	dropout	dropout	NOUN
cana-3601	121	14	prediction	prediction	NOUN
cana-3601	121	15	feature	feature	NOUN
cana-3601	121	16	importance	importance	NOUN
cana-3601	121	17	(	(	PUNCT
cana-3601	121	18	%	%	INTJ
cana-3601	121	19	)	)	PUNCT
cana-3601	121	20	attendance	attendance	NOUN
cana-3601	121	21	35	35	NUM
cana-3601	121	22	assessment	assessment	NOUN
cana-3601	121	23	scores	score	VERB
cana-3601	121	24	30	30	NUM
cana-3601	121	25	participation	participation	NOUN
cana-3601	121	26	in	in	ADP
cana-3601	121	27	activities	activity	NOUN
cana-3601	121	28	20	20	NUM
cana-3601	121	29	socio	socio	NOUN
cana-3601	121	30	-	-	PUNCT
cana-3601	121	31	economic	economic	ADJ
cana-3601	121	32	status	status	NOUN
cana-3601	121	33	10	10	NUM
cana-3601	121	34	parental	parental	ADJ
cana-3601	121	35	support	support	NOUN
cana-3601	121	36	5	5	NUM
cana-3601	121	37	fig.3	fig.3	PROPN
cana-3601	121	38	:	:	PUNCT
cana-3601	121	39	feature	feature	VERB
cana-3601	121	40	importance	importance	NOUN
cana-3601	121	41	for	for	ADP
cana-3601	121	42	dropout	dropout	NOUN
cana-3601	121	43	prediction	prediction	NOUN
cana-3601	121	44	:	:	PUNCT
cana-3601	121	45	highlighting	highlight	VERB
cana-3601	121	46	the	the	DET
cana-3601	121	47	relative	relative	ADJ
cana-3601	121	48	importance	importance	NOUN
cana-3601	121	49	of	of	ADP
cana-3601	121	50	various	various	ADJ
cana-3601	121	51	features	feature	NOUN
cana-3601	121	52	in	in	ADP
cana-3601	121	53	predicting	predict	VERB
cana-3601	121	54	student	student	NOUN
cana-3601	121	55	dropouts	dropout	NOUN
cana-3601	121	56	.	.	PUNCT
cana-3601	122	1	real	real	ADJ
cana-3601	122	2	-	-	PUNCT
cana-3601	122	3	time	time	NOUN
cana-3601	122	4	case	case	NOUN
cana-3601	122	5	study	study	NOUN
cana-3601	122	6	model	model	NOUN
cana-3601	122	7	:	:	PUNCT
cana-3601	122	8	enhancing	enhance	VERB
cana-3601	122	9	student	student	NOUN
cana-3601	122	10	performance	performance	NOUN
cana-3601	122	11	prediction	prediction	NOUN
cana-3601	122	12	using	use	VERB
cana-3601	122	13	nonlinear	nonlinear	ADJ
cana-3601	122	14	machine	machine	NOUN
cana-3601	122	15	learning	learning	NOUN
cana-3601	122	16	models	model	NOUN
cana-3601	122	17	aspect	aspect	VERB
cana-3601	122	18	details	detail	NOUN
cana-3601	122	19	objective	objective	ADJ
cana-3601	122	20	to	to	PART
cana-3601	122	21	predict	predict	VERB
cana-3601	122	22	student	student	NOUN
cana-3601	122	23	performance	performance	NOUN
cana-3601	122	24	in	in	ADP
cana-3601	122	25	real	real	ADJ
cana-3601	122	26	-	-	PUNCT
cana-3601	122	27	time	time	NOUN
cana-3601	122	28	and	and	CCONJ
cana-3601	122	29	identify	identify	VERB
cana-3601	122	30	at	at	ADP
cana-3601	122	31	-	-	PUNCT
cana-3601	122	32	risk	risk	NOUN
cana-3601	122	33	students	student	NOUN
cana-3601	122	34	using	use	VERB
cana-3601	122	35	nonlinear	nonlinear	ADJ
cana-3601	122	36	machine	machine	NOUN
cana-3601	122	37	learning	learning	NOUN
cana-3601	122	38	models	model	NOUN
cana-3601	122	39	.	.	PUNCT
cana-3601	123	1	institution	institution	NOUN
cana-3601	123	2	xyz	xyz	PROPN
cana-3601	123	3	university	university	PROPN
cana-3601	123	4	(	(	PUNCT
cana-3601	123	5	fictional	fictional	ADJ
cana-3601	123	6	example	example	NOUN
cana-3601	123	7	for	for	ADP
cana-3601	123	8	case	case	NOUN
cana-3601	123	9	study	study	NOUN
cana-3601	123	10	)	)	PUNCT
cana-3601	123	11	.	.	PUNCT
cana-3601	124	1	data	datum	NOUN
cana-3601	124	2	sources	source	NOUN
cana-3601	124	3	academic	academic	ADJ
cana-3601	124	4	records	record	NOUN
cana-3601	124	5	(	(	PUNCT
cana-3601	124	6	grades	grade	NOUN
cana-3601	124	7	,	,	PUNCT
cana-3601	124	8	attendance	attendance	NOUN
cana-3601	124	9	)	)	PUNCT
cana-3601	124	10	.	.	PUNCT
cana-3601	125	1	engagement	engagement	NOUN
cana-3601	125	2	data	datum	NOUN
cana-3601	125	3	from	from	ADP
cana-3601	125	4	e	e	NOUN
cana-3601	125	5	-	-	ADJ
cana-3601	125	6	learning	learn	VERB
cana-3601	125	7	platforms	platform	NOUN
cana-3601	125	8	.	.	PUNCT
cana-3601	126	1	demographic	demographic	ADJ
cana-3601	126	2	information	information	NOUN
cana-3601	126	3	(	(	PUNCT
cana-3601	126	4	age	age	NOUN
cana-3601	126	5	,	,	PUNCT
cana-3601	126	6	gender	gender	NOUN
cana-3601	126	7	,	,	PUNCT
cana-3601	126	8	socio	socio	NOUN
cana-3601	126	9	-	-	PUNCT
cana-3601	126	10	economic	economic	ADJ
cana-3601	126	11	background	background	NOUN
cana-3601	126	12	)	)	PUNCT
cana-3601	126	13	.	.	PUNCT
cana-3601	127	1	behavioral	behavioral	ADJ
cana-3601	127	2	data	datum	NOUN
cana-3601	127	3	(	(	PUNCT
cana-3601	127	4	participation	participation	NOUN
cana-3601	127	5	in	in	ADP
cana-3601	127	6	activities	activity	NOUN
cana-3601	127	7	,	,	PUNCT
cana-3601	127	8	submission	submission	NOUN
cana-3601	127	9	deadlines	deadline	NOUN
cana-3601	127	10	met	meet	VERB
cana-3601	127	11	)	)	PUNCT
cana-3601	127	12	.	.	PUNCT
cana-3601	128	1	psychological	psychological	ADJ
cana-3601	128	2	assessments	assessment	NOUN
cana-3601	128	3	(	(	PUNCT
cana-3601	128	4	student	student	NOUN
cana-3601	128	5	feedback	feedback	NOUN
cana-3601	128	6	and	and	CCONJ
cana-3601	128	7	motivation	motivation	NOUN
cana-3601	128	8	levels	level	NOUN
cana-3601	128	9	)	)	PUNCT
cana-3601	128	10	.	.	PUNCT
cana-3601	129	1	sample	sample	NOUN
cana-3601	129	2	size	size	NOUN
cana-3601	129	3	10,000	10,000	NUM
cana-3601	129	4	students	student	NOUN
cana-3601	129	5	across	across	ADP
cana-3601	129	6	5	5	NUM
cana-3601	129	7	years	year	NOUN
cana-3601	129	8	from	from	ADP
cana-3601	129	9	diverse	diverse	ADJ
cana-3601	129	10	programs	program	NOUN
cana-3601	129	11	(	(	PUNCT
cana-3601	129	12	stem	stem	NOUN
cana-3601	129	13	,	,	PUNCT
cana-3601	129	14	humanities	humanity	NOUN
cana-3601	129	15	,	,	PUNCT
cana-3601	129	16	and	and	CCONJ
cana-3601	129	17	vocational	vocational	ADJ
cana-3601	129	18	)	)	PUNCT
cana-3601	129	19	.	.	PUNCT
cana-3601	130	1	data	datum	NOUN
cana-3601	130	2	preprocessing	preprocesse	VERB
cana-3601	130	3	removed	remove	VERB
cana-3601	130	4	missing	miss	VERB
cana-3601	130	5	data	datum	NOUN
cana-3601	130	6	and	and	CCONJ
cana-3601	130	7	outliers	outlier	NOUN
cana-3601	130	8	.	.	PUNCT
cana-3601	131	1	normalized	normalize	VERB
cana-3601	131	2	features	feature	NOUN
cana-3601	131	3	(	(	PUNCT
cana-3601	131	4	e.g.	e.g.	ADV
cana-3601	131	5	,	,	PUNCT
cana-3601	131	6	grades	grade	NOUN
cana-3601	131	7	scaled	scale	VERB
cana-3601	131	8	between	between	ADP
cana-3601	131	9	0	0	NUM
cana-3601	131	10	-	-	SYM
cana-3601	131	11	1	1	NUM
cana-3601	131	12	)	)	PUNCT
cana-3601	131	13	.	.	PUNCT
cana-3601	132	1	reduced	reduce	VERB
cana-3601	132	2	dimensionality	dimensionality	NOUN
cana-3601	132	3	using	use	VERB
cana-3601	132	4	principal	principal	ADJ
cana-3601	132	5	component	component	NOUN
cana-3601	132	6	analysis	analysis	NOUN
cana-3601	132	7	(	(	PUNCT
cana-3601	132	8	pca	pca	NOUN
cana-3601	132	9	)	)	PUNCT
cana-3601	132	10	.	.	PUNCT
cana-3601	133	1	selected	select	VERB
cana-3601	133	2	ml	ml	PROPN
cana-3601	133	3	models	model	NOUN
cana-3601	133	4	neural	neural	ADJ
cana-3601	133	5	networks	network	NOUN
cana-3601	133	6	:	:	PUNCT
cana-3601	133	7	for	for	ADP
cana-3601	133	8	capturing	capture	VERB
cana-3601	133	9	nonlinear	nonlinear	ADJ
cana-3601	133	10	relationships	relationship	NOUN
cana-3601	133	11	in	in	ADP
cana-3601	133	12	high	high	ADJ
cana-3601	133	13	-	-	PUNCT
cana-3601	133	14	dimensional	dimensional	ADJ
cana-3601	133	15	data	datum	NOUN
cana-3601	133	16	.	.	PUNCT
cana-3601	134	1	random	random	ADJ
cana-3601	134	2	forest	forest	NOUN
cana-3601	134	3	:	:	PUNCT
cana-3601	134	4	to	to	PART
cana-3601	134	5	evaluate	evaluate	VERB
cana-3601	134	6	feature	feature	NOUN
cana-3601	134	7	importance	importance	NOUN
cana-3601	134	8	and	and	CCONJ
cana-3601	134	9	provide	provide	VERB
cana-3601	134	10	interpretable	interpretable	ADJ
cana-3601	134	11	results	result	NOUN
cana-3601	134	12	.	.	PUNCT
cana-3601	135	1	communications	communication	NOUN
cana-3601	135	2	on	on	ADP
cana-3601	135	3	applied	apply	VERB
cana-3601	135	4	nonlinear	nonlinear	ADJ
cana-3601	135	5	analysis	analysis	NOUN
cana-3601	135	6	issn	issn	NOUN
cana-3601	135	7	:	:	PUNCT
cana-3601	135	8	1074	1074	NUM
cana-3601	135	9	-	-	PUNCT
cana-3601	135	10	133x	133x	NUM
cana-3601	135	11	vol	vol	NOUN
cana-3601	135	12	32	32	NUM
cana-3601	135	13	no	no	NOUN
cana-3601	135	14	.	.	PUNCT
cana-3601	136	1	8s	8s	PROPN
cana-3601	136	2	(	(	PUNCT
cana-3601	136	3	2025	2025	NUM
cana-3601	136	4	)	)	PUNCT
cana-3601	136	5	83	83	NUM
cana-3601	136	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3601	136	7	support	support	NOUN
cana-3601	136	8	vector	vector	NOUN
cana-3601	136	9	machines	machine	NOUN
cana-3601	136	10	(	(	PUNCT
cana-3601	136	11	svm	svm	PROPN
cana-3601	136	12	):	):	PUNCT
cana-3601	136	13	for	for	ADP
cana-3601	136	14	robust	robust	ADJ
cana-3601	136	15	performance	performance	NOUN
cana-3601	136	16	in	in	ADP
cana-3601	136	17	smaller	small	ADJ
cana-3601	136	18	subsets	subset	NOUN
cana-3601	136	19	of	of	ADP
cana-3601	136	20	data	datum	NOUN
cana-3601	136	21	.	.	PUNCT
cana-3601	137	1	gradient	gradient	ADJ
cana-3601	137	2	boosting	boost	VERB
cana-3601	137	3	machines	machine	NOUN
cana-3601	137	4	(	(	PUNCT
cana-3601	137	5	gbms	gbms	NOUN
cana-3601	137	6	):	):	PUNCT
cana-3601	137	7	for	for	ADP
cana-3601	137	8	handling	handle	VERB
cana-3601	137	9	missing	miss	VERB
cana-3601	137	10	data	datum	NOUN
cana-3601	137	11	and	and	CCONJ
cana-3601	137	12	improving	improve	VERB
cana-3601	137	13	model	model	NOUN
cana-3601	137	14	accuracy	accuracy	NOUN
cana-3601	137	15	.	.	PUNCT
cana-3601	138	1	feature	feature	NOUN
cana-3601	138	2	engineering	engineering	NOUN
cana-3601	138	3	combined	combine	VERB
cana-3601	138	4	attendance	attendance	NOUN
cana-3601	138	5	and	and	CCONJ
cana-3601	138	6	grade	grade	NOUN
cana-3601	138	7	data	datum	NOUN
cana-3601	138	8	to	to	PART
cana-3601	138	9	create	create	VERB
cana-3601	138	10	a	a	DET
cana-3601	138	11	"	"	PUNCT
cana-3601	138	12	consistency	consistency	NOUN
cana-3601	138	13	index	index	NOUN
cana-3601	138	14	.	.	PUNCT
cana-3601	138	15	"	"	PUNCT
cana-3601	138	16	extracted	extract	VERB
cana-3601	138	17	time	time	NOUN
cana-3601	138	18	-	-	PUNCT
cana-3601	138	19	on	on	ADP
cana-3601	138	20	-	-	PUNCT
cana-3601	138	21	task	task	NOUN
cana-3601	138	22	metrics	metric	NOUN
cana-3601	138	23	from	from	ADP
cana-3601	138	24	engagement	engagement	NOUN
cana-3601	138	25	data	datum	NOUN
cana-3601	138	26	.	.	PUNCT
cana-3601	139	1	created	create	VERB
cana-3601	139	2	a	a	DET
cana-3601	139	3	"	"	PUNCT
cana-3601	139	4	risk	risk	NOUN
cana-3601	139	5	score	score	NOUN
cana-3601	139	6	"	"	PUNCT
cana-3601	139	7	from	from	ADP
cana-3601	139	8	demographic	demographic	ADJ
cana-3601	139	9	and	and	CCONJ
cana-3601	139	10	behavioral	behavioral	ADJ
cana-3601	139	11	features	feature	NOUN
cana-3601	139	12	.	.	PUNCT
cana-3601	140	1	evaluation	evaluation	NOUN
cana-3601	140	2	metrics	metric	NOUN
cana-3601	140	3	accuracy	accuracy	NOUN
cana-3601	140	4	,	,	PUNCT
cana-3601	140	5	precision	precision	NOUN
cana-3601	140	6	,	,	PUNCT
cana-3601	140	7	recall	recall	NOUN
cana-3601	140	8	,	,	PUNCT
cana-3601	140	9	and	and	CCONJ
cana-3601	140	10	f1	f1	NOUN
cana-3601	140	11	-	-	PUNCT
cana-3601	140	12	score	score	NOUN
cana-3601	140	13	for	for	ADP
cana-3601	140	14	classification	classification	NOUN
cana-3601	140	15	.	.	PUNCT
cana-3601	141	1	mean	mean	VERB
cana-3601	141	2	squared	square	VERB
cana-3601	141	3	error	error	NOUN
cana-3601	141	4	(	(	PUNCT
cana-3601	141	5	mse	mse	NOUN
cana-3601	141	6	)	)	PUNCT
cana-3601	141	7	for	for	ADP
cana-3601	141	8	regression	regression	NOUN
cana-3601	141	9	predictions	prediction	NOUN
cana-3601	141	10	.	.	PUNCT
cana-3601	142	1	shap	shap	PROPN
cana-3601	142	2	values	value	NOUN
cana-3601	142	3	for	for	ADP
cana-3601	142	4	feature	feature	NOUN
cana-3601	142	5	importance	importance	NOUN
cana-3601	142	6	to	to	PART
cana-3601	142	7	improve	improve	VERB
cana-3601	142	8	interpretability	interpretability	NOUN
cana-3601	142	9	.	.	PUNCT
cana-3601	143	1	implementation	implementation	NOUN
cana-3601	143	2	data	datum	NOUN
cana-3601	143	3	divided	divide	VERB
cana-3601	143	4	into	into	ADP
cana-3601	143	5	80	80	NUM
cana-3601	143	6	%	%	NOUN
cana-3601	143	7	training	training	NOUN
cana-3601	143	8	,	,	PUNCT
cana-3601	143	9	10	10	NUM
cana-3601	143	10	%	%	NOUN
cana-3601	143	11	validation	validation	NOUN
cana-3601	143	12	,	,	PUNCT
cana-3601	143	13	and	and	CCONJ
cana-3601	143	14	10	10	NUM
cana-3601	143	15	%	%	NOUN
cana-3601	143	16	test	test	NOUN
cana-3601	143	17	sets	set	NOUN
cana-3601	143	18	.	.	PUNCT
cana-3601	144	1	hyperparameter	hyperparameter	NOUN
cana-3601	144	2	tuning	tune	VERB
cana-3601	144	3	using	use	VERB
cana-3601	144	4	grid	grid	NOUN
cana-3601	144	5	search	search	NOUN
cana-3601	144	6	and	and	CCONJ
cana-3601	144	7	cross	cross	NOUN
cana-3601	144	8	-	-	NOUN
cana-3601	144	9	validation	validation	ADJ
cana-3601	144	10	.	.	PUNCT
cana-3601	145	1	models	model	NOUN
cana-3601	145	2	deployed	deploy	VERB
cana-3601	145	3	on	on	ADP
cana-3601	145	4	a	a	DET
cana-3601	145	5	cloud	cloud	NOUN
cana-3601	145	6	-	-	PUNCT
cana-3601	145	7	based	base	VERB
cana-3601	145	8	server	server	NOUN
cana-3601	145	9	for	for	ADP
cana-3601	145	10	real	real	ADJ
cana-3601	145	11	-	-	PUNCT
cana-3601	145	12	time	time	NOUN
cana-3601	145	13	predictions	prediction	NOUN
cana-3601	145	14	.	.	PUNCT
cana-3601	146	1	findings	finding	NOUN
cana-3601	146	2	neural	neural	ADJ
cana-3601	146	3	networks	network	NOUN
cana-3601	146	4	achieved	achieve	VERB
cana-3601	146	5	the	the	DET
cana-3601	146	6	highest	high	ADJ
cana-3601	146	7	accuracy	accuracy	NOUN
cana-3601	146	8	(	(	PUNCT
cana-3601	146	9	91	91	NUM
cana-3601	146	10	%	%	NOUN
cana-3601	146	11	)	)	PUNCT
cana-3601	146	12	in	in	ADP
cana-3601	146	13	predicting	predict	VERB
cana-3601	146	14	student	student	NOUN
cana-3601	146	15	success	success	NOUN
cana-3601	146	16	.	.	PUNCT
cana-3601	147	1	random	random	ADJ
cana-3601	147	2	forest	forest	NOUN
cana-3601	147	3	identified	identify	VERB
cana-3601	147	4	attendance	attendance	NOUN
cana-3601	147	5	and	and	CCONJ
cana-3601	147	6	engagement	engagement	NOUN
cana-3601	147	7	as	as	SCONJ
cana-3601	147	8	the	the	DET
cana-3601	147	9	top	top	NOUN
cana-3601	147	10	features	feature	VERB
cana-3601	147	11	contributing	contribute	VERB
cana-3601	147	12	to	to	ADP
cana-3601	147	13	predictions	prediction	NOUN
cana-3601	147	14	.	.	PUNCT
cana-3601	148	1	svm	svm	PROPN
cana-3601	148	2	performed	perform	VERB
cana-3601	148	3	well	well	ADV
cana-3601	148	4	on	on	ADP
cana-3601	148	5	smaller	small	ADJ
cana-3601	148	6	subsets	subset	NOUN
cana-3601	148	7	,	,	PUNCT
cana-3601	148	8	highlighting	highlight	VERB
cana-3601	148	9	outlier	outlier	ADJ
cana-3601	148	10	cases	case	NOUN
cana-3601	148	11	with	with	ADP
cana-3601	148	12	85	85	NUM
cana-3601	148	13	%	%	NOUN
cana-3601	148	14	accuracy	accuracy	NOUN
cana-3601	148	15	.	.	PUNCT
cana-3601	149	1	actionable	actionable	ADJ
cana-3601	149	2	insights	insight	NOUN
cana-3601	149	3	students	student	NOUN
cana-3601	149	4	with	with	ADP
cana-3601	149	5	a	a	DET
cana-3601	149	6	"	"	PUNCT
cana-3601	149	7	consistency	consistency	NOUN
cana-3601	149	8	index	index	NOUN
cana-3601	149	9	"	"	PUNCT
cana-3601	149	10	below	below	ADP
cana-3601	149	11	0.7	0.7	NUM
cana-3601	149	12	were	be	AUX
cana-3601	149	13	flagged	flag	VERB
cana-3601	149	14	for	for	ADP
cana-3601	149	15	counseling	counseling	NOUN
cana-3601	149	16	support	support	NOUN
cana-3601	149	17	.	.	PUNCT
cana-3601	150	1	personalized	personalized	ADJ
cana-3601	150	2	learning	learn	VERB
cana-3601	150	3	paths	path	NOUN
cana-3601	150	4	created	create	VERB
cana-3601	150	5	based	base	VERB
cana-3601	150	6	on	on	ADP
cana-3601	150	7	engagement	engagement	NOUN
cana-3601	150	8	metrics	metric	NOUN
cana-3601	150	9	.	.	PUNCT
cana-3601	151	1	early	early	ADJ
cana-3601	151	2	intervention	intervention	NOUN
cana-3601	151	3	programs	program	NOUN
cana-3601	151	4	designed	design	VERB
cana-3601	151	5	for	for	ADP
cana-3601	151	6	high	high	ADJ
cana-3601	151	7	-	-	PUNCT
cana-3601	151	8	risk	risk	NOUN
cana-3601	151	9	students	student	NOUN
cana-3601	151	10	identified	identify	VERB
cana-3601	151	11	by	by	ADP
cana-3601	151	12	the	the	DET
cana-3601	151	13	"	"	PUNCT
cana-3601	151	14	risk	risk	NOUN
cana-3601	151	15	score	score	NOUN
cana-3601	151	16	.	.	PUNCT
cana-3601	151	17	"	"	PUNCT
cana-3601	151	18	challenges	challenge	NOUN
cana-3601	151	19	addressing	address	VERB
cana-3601	151	20	data	datum	NOUN
cana-3601	151	21	imbalance	imbalance	NOUN
cana-3601	151	22	as	as	ADP
cana-3601	151	23	high	high	ADV
cana-3601	151	24	-	-	PUNCT
cana-3601	151	25	performing	perform	VERB
cana-3601	151	26	students	student	NOUN
cana-3601	151	27	outnumbered	outnumber	VERB
cana-3601	151	28	lowperforming	lowperforming	NOUN
cana-3601	151	29	ones	one	NOUN
cana-3601	151	30	.	.	PUNCT
cana-3601	152	1	handling	handle	VERB
cana-3601	152	2	missing	miss	VERB
cana-3601	152	3	behavioral	behavioral	ADJ
cana-3601	152	4	data	datum	NOUN
cana-3601	152	5	from	from	ADP
cana-3601	152	6	e	e	NOUN
cana-3601	152	7	-	-	ADJ
cana-3601	152	8	learning	learn	VERB
cana-3601	152	9	platforms	platform	NOUN
cana-3601	152	10	.	.	PUNCT
cana-3601	153	1	ensuring	ensure	VERB
cana-3601	153	2	interpretability	interpretability	NOUN
cana-3601	153	3	of	of	ADP
cana-3601	153	4	complex	complex	ADJ
cana-3601	153	5	models	model	NOUN
cana-3601	153	6	for	for	ADP
cana-3601	153	7	administrative	administrative	ADJ
cana-3601	153	8	decisionmaking	decisionmaking	NOUN
cana-3601	153	9	.	.	PUNCT
cana-3601	154	1	future	future	ADJ
cana-3601	154	2	directions	direction	NOUN
cana-3601	154	3	expanding	expand	VERB
cana-3601	154	4	the	the	DET
cana-3601	154	5	model	model	NOUN
cana-3601	154	6	to	to	PART
cana-3601	154	7	include	include	VERB
cana-3601	154	8	real	real	ADJ
cana-3601	154	9	-	-	PUNCT
cana-3601	154	10	time	time	NOUN
cana-3601	154	11	psychological	psychological	ADJ
cana-3601	154	12	and	and	CCONJ
cana-3601	154	13	social	social	ADJ
cana-3601	154	14	support	support	NOUN
cana-3601	154	15	data	datum	NOUN
cana-3601	154	16	.	.	PUNCT
cana-3601	155	1	integrating	integrate	VERB
cana-3601	155	2	iot	iot	ADJ
cana-3601	155	3	data	datum	NOUN
cana-3601	155	4	(	(	PUNCT
cana-3601	155	5	e.g.	e.g.	ADV
cana-3601	155	6	,	,	PUNCT
cana-3601	155	7	smart	smart	ADJ
cana-3601	155	8	classroom	classroom	NOUN
cana-3601	155	9	sensors	sensor	NOUN
cana-3601	155	10	)	)	PUNCT
cana-3601	155	11	for	for	ADP
cana-3601	155	12	richer	rich	ADJ
cana-3601	155	13	feature	feature	NOUN
cana-3601	155	14	sets	set	NOUN
cana-3601	155	15	.	.	PUNCT
cana-3601	156	1	creating	create	VERB
cana-3601	156	2	a	a	DET
cana-3601	156	3	feedback	feedback	NOUN
cana-3601	156	4	loop	loop	NOUN
cana-3601	156	5	for	for	ADP
cana-3601	156	6	continuous	continuous	ADJ
cana-3601	156	7	model	model	NOUN
cana-3601	156	8	improvement	improvement	NOUN
cana-3601	156	9	using	use	VERB
cana-3601	156	10	new	new	ADJ
cana-3601	156	11	data	datum	NOUN
cana-3601	156	12	.	.	PUNCT
cana-3601	157	1	this	this	DET
cana-3601	157	2	case	case	NOUN
cana-3601	157	3	study	study	NOUN
cana-3601	157	4	attempts	attempt	VERB
cana-3601	157	5	to	to	PART
cana-3601	157	6	illustrate	illustrate	VERB
cana-3601	157	7	the	the	DET
cana-3601	157	8	application	application	NOUN
cana-3601	157	9	of	of	ADP
cana-3601	157	10	nonlinear	nonlinear	ADJ
cana-3601	157	11	machine	machine	NOUN
cana-3601	157	12	learning	learning	NOUN
cana-3601	157	13	models	model	NOUN
cana-3601	157	14	in	in	ADP
cana-3601	157	15	predicting	predict	VERB
cana-3601	157	16	student	student	NOUN
cana-3601	157	17	outcomes	outcome	NOUN
cana-3601	157	18	,	,	PUNCT
cana-3601	157	19	identifying	identify	VERB
cana-3601	157	20	risks	risk	NOUN
cana-3601	157	21	,	,	PUNCT
cana-3601	157	22	and	and	CCONJ
cana-3601	157	23	enabling	enable	VERB
cana-3601	157	24	timely	timely	ADJ
cana-3601	157	25	interventions	intervention	NOUN
cana-3601	157	26	to	to	PART
cana-3601	157	27	enhance	enhance	VERB
cana-3601	157	28	educational	educational	ADJ
cana-3601	157	29	experiences	experience	NOUN
cana-3601	157	30	.	.	PUNCT
cana-3601	158	1	communications	communication	NOUN
cana-3601	158	2	on	on	ADP
cana-3601	158	3	applied	apply	VERB
cana-3601	158	4	nonlinear	nonlinear	ADJ
cana-3601	158	5	analysis	analysis	NOUN
cana-3601	158	6	issn	issn	NOUN
cana-3601	158	7	:	:	PUNCT
cana-3601	158	8	1074	1074	NUM
cana-3601	158	9	-	-	PUNCT
cana-3601	158	10	133x	133x	NUM
cana-3601	158	11	vol	vol	NOUN
cana-3601	158	12	32	32	NUM
cana-3601	158	13	no	no	NOUN
cana-3601	158	14	.	.	PUNCT
cana-3601	159	1	8s	8s	PROPN
cana-3601	159	2	(	(	PUNCT
cana-3601	159	3	2025	2025	NUM
cana-3601	159	4	)	)	PUNCT
cana-3601	159	5	84	84	NUM
cana-3601	159	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3601	159	7	specific	specific	ADJ
cana-3601	159	8	outcome	outcome	NOUN
cana-3601	159	9	the	the	DET
cana-3601	159	10	paper	paper	NOUN
cana-3601	159	11	"	"	PUNCT
cana-3601	159	12	applied	apply	VERB
cana-3601	159	13	nonlinear	nonlinear	ADJ
cana-3601	159	14	analysis	analysis	NOUN
cana-3601	159	15	of	of	ADP
cana-3601	159	16	machine	machine	NOUN
cana-3601	159	17	learning	learning	NOUN
cana-3601	159	18	models	model	NOUN
cana-3601	159	19	for	for	ADP
cana-3601	159	20	education	education	NOUN
cana-3601	159	21	streams	stream	NOUN
cana-3601	159	22	:	:	PUNCT
cana-3601	159	23	a	a	DET
cana-3601	159	24	mathematical	mathematical	ADJ
cana-3601	159	25	and	and	CCONJ
cana-3601	159	26	statistical	statistical	ADJ
cana-3601	159	27	perspective	perspective	NOUN
cana-3601	159	28	"	"	PUNCT
cana-3601	159	29	delivers	deliver	VERB
cana-3601	159	30	the	the	DET
cana-3601	159	31	following	follow	VERB
cana-3601	159	32	specific	specific	ADJ
cana-3601	159	33	outcomes	outcome	NOUN
cana-3601	159	34	:	:	PUNCT
cana-3601	159	35	1	1	X
cana-3601	159	36	.	.	PUNCT
cana-3601	159	37	enhanced	enhance	VERB
cana-3601	159	38	predictive	predictive	ADJ
cana-3601	159	39	accuracy	accuracy	NOUN
cana-3601	159	40	:	:	PUNCT
cana-3601	159	41	nonlinear	nonlinear	ADJ
cana-3601	159	42	machine	machine	NOUN
cana-3601	159	43	learning	learning	NOUN
cana-3601	159	44	models	model	NOUN
cana-3601	159	45	,	,	PUNCT
cana-3601	159	46	such	such	ADJ
cana-3601	159	47	as	as	ADP
cana-3601	159	48	neural	neural	ADJ
cana-3601	159	49	networks	network	NOUN
cana-3601	159	50	and	and	CCONJ
cana-3601	159	51	random	random	ADJ
cana-3601	159	52	forests	forest	NOUN
cana-3601	159	53	,	,	PUNCT
cana-3601	159	54	demonstrated	demonstrate	VERB
cana-3601	159	55	superior	superior	ADJ
cana-3601	159	56	performance	performance	NOUN
cana-3601	159	57	in	in	ADP
cana-3601	159	58	predicting	predict	VERB
cana-3601	159	59	student	student	NOUN
cana-3601	159	60	success	success	NOUN
cana-3601	159	61	and	and	CCONJ
cana-3601	159	62	identifying	identify	VERB
cana-3601	159	63	at	at	ADP
cana-3601	159	64	-	-	PUNCT
cana-3601	159	65	risk	risk	NOUN
cana-3601	159	66	learners	learner	NOUN
cana-3601	159	67	compared	compare	VERB
cana-3601	159	68	to	to	ADP
cana-3601	159	69	traditional	traditional	ADJ
cana-3601	159	70	linear	linear	ADJ
cana-3601	159	71	models	model	NOUN
cana-3601	159	72	.	.	PUNCT
cana-3601	160	1	2	2	X
cana-3601	160	2	.	.	X
cana-3601	160	3	feature	feature	NOUN
cana-3601	160	4	insights	insight	NOUN
cana-3601	160	5	:	:	PUNCT
cana-3601	160	6	key	key	ADJ
cana-3601	160	7	features	feature	NOUN
cana-3601	160	8	contributing	contribute	VERB
cana-3601	160	9	to	to	ADP
cana-3601	160	10	student	student	NOUN
cana-3601	160	11	performance	performance	NOUN
cana-3601	160	12	were	be	AUX
cana-3601	160	13	identified	identify	VERB
cana-3601	160	14	,	,	PUNCT
cana-3601	160	15	including	include	VERB
cana-3601	160	16	attendance	attendance	NOUN
cana-3601	160	17	,	,	PUNCT
cana-3601	160	18	engagement	engagement	NOUN
cana-3601	160	19	metrics	metric	NOUN
cana-3601	160	20	,	,	PUNCT
cana-3601	160	21	and	and	CCONJ
cana-3601	160	22	socioeconomic	socioeconomic	ADJ
cana-3601	160	23	factors	factor	NOUN
cana-3601	160	24	.	.	PUNCT
cana-3601	161	1	nonlinear	nonlinear	ADJ
cana-3601	161	2	methods	method	NOUN
cana-3601	161	3	provided	provide	VERB
cana-3601	161	4	deeper	deep	ADJ
cana-3601	161	5	insights	insight	NOUN
cana-3601	161	6	into	into	ADP
cana-3601	161	7	the	the	DET
cana-3601	161	8	relationships	relationship	NOUN
cana-3601	161	9	between	between	ADP
cana-3601	161	10	these	these	DET
cana-3601	161	11	features	feature	NOUN
cana-3601	161	12	and	and	CCONJ
cana-3601	161	13	outcomes	outcome	NOUN
cana-3601	161	14	.	.	PUNCT
cana-3601	162	1	3	3	X
cana-3601	162	2	.	.	X
cana-3601	162	3	personalized	personalized	ADJ
cana-3601	162	4	learning	learn	VERB
cana-3601	162	5	paths	path	NOUN
cana-3601	162	6	:	:	PUNCT
cana-3601	162	7	the	the	DET
cana-3601	162	8	application	application	NOUN
cana-3601	162	9	of	of	ADP
cana-3601	162	10	nonlinear	nonlinear	ADJ
cana-3601	162	11	models	model	NOUN
cana-3601	162	12	enabled	enable	VERB
cana-3601	162	13	the	the	DET
cana-3601	162	14	development	development	NOUN
cana-3601	162	15	of	of	ADP
cana-3601	162	16	personalized	personalized	ADJ
cana-3601	162	17	interventions	intervention	NOUN
cana-3601	162	18	and	and	CCONJ
cana-3601	162	19	adaptive	adaptive	ADJ
cana-3601	162	20	learning	learning	NOUN
cana-3601	162	21	strategies	strategy	NOUN
cana-3601	162	22	tailored	tailor	VERB
cana-3601	162	23	to	to	ADP
cana-3601	162	24	individual	individual	ADJ
cana-3601	162	25	student	student	NOUN
cana-3601	162	26	needs	need	NOUN
cana-3601	162	27	.	.	PUNCT
cana-3601	163	1	4	4	X
cana-3601	163	2	.	.	X
cana-3601	163	3	data	data	NOUN
cana-3601	163	4	-	-	PUNCT
cana-3601	163	5	driven	drive	VERB
cana-3601	163	6	decision	decision	NOUN
cana-3601	163	7	making	make	VERB
cana-3601	163	8	:	:	PUNCT
cana-3601	163	9	the	the	DET
cana-3601	163	10	integration	integration	NOUN
cana-3601	163	11	of	of	ADP
cana-3601	163	12	advanced	advanced	ADJ
cana-3601	163	13	statistical	statistical	ADJ
cana-3601	163	14	techniques	technique	NOUN
cana-3601	163	15	and	and	CCONJ
cana-3601	163	16	nonlinear	nonlinear	ADJ
cana-3601	163	17	analysis	analysis	NOUN
cana-3601	163	18	supported	support	VERB
cana-3601	163	19	data	data	NOUN
cana-3601	163	20	-	-	PUNCT
cana-3601	163	21	driven	drive	VERB
cana-3601	163	22	decision	decision	NOUN
cana-3601	163	23	-	-	PUNCT
cana-3601	163	24	making	make	VERB
cana-3601	163	25	processes	process	NOUN
cana-3601	163	26	for	for	ADP
cana-3601	163	27	educators	educator	NOUN
cana-3601	163	28	and	and	CCONJ
cana-3601	163	29	policymakers	policymaker	NOUN
cana-3601	163	30	.	.	PUNCT
cana-3601	164	1	5	5	X
cana-3601	164	2	.	.	X
cana-3601	164	3	visualization	visualization	NOUN
cana-3601	164	4	and	and	CCONJ
cana-3601	164	5	interpretability	interpretability	NOUN
cana-3601	164	6	:	:	PUNCT
cana-3601	164	7	effective	effective	ADJ
cana-3601	164	8	visualizations	visualization	NOUN
cana-3601	164	9	,	,	PUNCT
cana-3601	164	10	combined	combine	VERB
cana-3601	164	11	with	with	ADP
cana-3601	164	12	tools	tool	NOUN
cana-3601	164	13	like	like	ADP
cana-3601	164	14	shap	shap	PROPN
cana-3601	164	15	values	value	NOUN
cana-3601	164	16	,	,	PUNCT
cana-3601	164	17	improved	improve	VERB
cana-3601	164	18	the	the	DET
cana-3601	164	19	interpretability	interpretability	NOUN
cana-3601	164	20	of	of	ADP
cana-3601	164	21	complex	complex	ADJ
cana-3601	164	22	nonlinear	nonlinear	ADJ
cana-3601	164	23	models	model	NOUN
cana-3601	164	24	,	,	PUNCT
cana-3601	164	25	making	make	VERB
cana-3601	164	26	them	they	PRON
cana-3601	164	27	accessible	accessible	ADJ
cana-3601	164	28	to	to	ADP
cana-3601	164	29	nontechnical	nontechnical	ADJ
cana-3601	164	30	stakeholders	stakeholder	NOUN
cana-3601	164	31	.	.	PUNCT
cana-3601	165	1	6	6	X
cana-3601	165	2	.	.	X
cana-3601	165	3	scalable	scalable	ADJ
cana-3601	165	4	framework	framework	NOUN
cana-3601	165	5	:	:	PUNCT
cana-3601	165	6	the	the	DET
cana-3601	165	7	proposed	propose	VERB
cana-3601	165	8	methodology	methodology	NOUN
cana-3601	165	9	can	can	AUX
cana-3601	165	10	be	be	AUX
cana-3601	165	11	scaled	scale	VERB
cana-3601	165	12	and	and	CCONJ
cana-3601	165	13	adapted	adapt	VERB
cana-3601	165	14	to	to	ADP
cana-3601	165	15	various	various	ADJ
cana-3601	165	16	educational	educational	ADJ
cana-3601	165	17	contexts	contexts	NOUN
cana-3601	165	18	,	,	PUNCT
cana-3601	165	19	ensuring	ensure	VERB
cana-3601	165	20	broader	broad	ADJ
cana-3601	165	21	applicability	applicability	NOUN
cana-3601	165	22	and	and	CCONJ
cana-3601	165	23	impact	impact	NOUN
cana-3601	165	24	.	.	PUNCT
cana-3601	166	1	conclusion	conclusion	NOUN
cana-3601	166	2	this	this	DET
cana-3601	166	3	study	study	NOUN
cana-3601	166	4	underscores	underscore	VERB
cana-3601	166	5	the	the	DET
cana-3601	166	6	transformative	transformative	ADJ
cana-3601	166	7	potential	potential	NOUN
cana-3601	166	8	of	of	ADP
cana-3601	166	9	nonlinear	nonlinear	ADJ
cana-3601	166	10	machine	machine	NOUN
cana-3601	166	11	learning	learning	NOUN
cana-3601	166	12	models	model	NOUN
cana-3601	166	13	in	in	ADP
cana-3601	166	14	addressing	address	VERB
cana-3601	166	15	the	the	DET
cana-3601	166	16	complexities	complexity	NOUN
cana-3601	166	17	of	of	ADP
cana-3601	166	18	educational	educational	ADJ
cana-3601	166	19	data	datum	NOUN
cana-3601	166	20	.	.	PUNCT
cana-3601	167	1	by	by	ADP
cana-3601	167	2	leveraging	leverage	VERB
cana-3601	167	3	advanced	advanced	ADJ
cana-3601	167	4	mathematical	mathematical	ADJ
cana-3601	167	5	and	and	CCONJ
cana-3601	167	6	statistical	statistical	ADJ
cana-3601	167	7	techniques	technique	NOUN
cana-3601	167	8	,	,	PUNCT
cana-3601	167	9	these	these	DET
cana-3601	167	10	models	model	NOUN
cana-3601	167	11	overcome	overcome	VERB
cana-3601	167	12	the	the	DET
cana-3601	167	13	limitations	limitation	NOUN
cana-3601	167	14	of	of	ADP
cana-3601	167	15	traditional	traditional	ADJ
cana-3601	167	16	linear	linear	ADJ
cana-3601	167	17	approaches	approach	NOUN
cana-3601	167	18	,	,	PUNCT
cana-3601	167	19	capturing	capture	VERB
cana-3601	167	20	intricate	intricate	ADJ
cana-3601	167	21	patterns	pattern	NOUN
cana-3601	167	22	and	and	CCONJ
cana-3601	167	23	relationships	relationship	NOUN
cana-3601	167	24	in	in	ADP
cana-3601	167	25	multidimensional	multidimensional	ADJ
cana-3601	167	26	data	datum	NOUN
cana-3601	167	27	.	.	PUNCT
cana-3601	168	1	the	the	DET
cana-3601	168	2	findings	finding	NOUN
cana-3601	168	3	highlight	highlight	VERB
cana-3601	168	4	the	the	DET
cana-3601	168	5	value	value	NOUN
cana-3601	168	6	of	of	ADP
cana-3601	168	7	nonlinear	nonlinear	ADJ
cana-3601	168	8	methods	method	NOUN
cana-3601	168	9	in	in	ADP
cana-3601	168	10	enhancing	enhance	VERB
cana-3601	168	11	predictive	predictive	ADJ
cana-3601	168	12	accuracy	accuracy	NOUN
cana-3601	168	13	,	,	PUNCT
cana-3601	168	14	enabling	enable	VERB
cana-3601	168	15	early	early	ADJ
cana-3601	168	16	interventions	intervention	NOUN
cana-3601	168	17	,	,	PUNCT
cana-3601	168	18	and	and	CCONJ
cana-3601	168	19	optimizing	optimize	VERB
cana-3601	168	20	learning	learning	NOUN
cana-3601	168	21	experiences	experience	NOUN
cana-3601	168	22	.	.	PUNCT
cana-3601	169	1	key	key	ADJ
cana-3601	169	2	features	feature	NOUN
cana-3601	169	3	such	such	ADJ
cana-3601	169	4	as	as	ADP
cana-3601	169	5	attendance	attendance	NOUN
cana-3601	169	6	,	,	PUNCT
cana-3601	169	7	engagement	engagement	NOUN
cana-3601	169	8	,	,	PUNCT
cana-3601	169	9	and	and	CCONJ
cana-3601	169	10	socioeconomic	socioeconomic	ADJ
cana-3601	169	11	factors	factor	NOUN
cana-3601	169	12	emerged	emerge	VERB
cana-3601	169	13	as	as	ADP
cana-3601	169	14	critical	critical	ADJ
cana-3601	169	15	drivers	driver	NOUN
cana-3601	169	16	of	of	ADP
cana-3601	169	17	student	student	NOUN
cana-3601	169	18	performance	performance	NOUN
cana-3601	169	19	,	,	PUNCT
cana-3601	169	20	offering	offer	VERB
cana-3601	169	21	actionable	actionable	ADJ
cana-3601	169	22	insights	insight	NOUN
cana-3601	169	23	for	for	ADP
cana-3601	169	24	educators	educator	NOUN
cana-3601	169	25	and	and	CCONJ
cana-3601	169	26	administrators	administrator	NOUN
cana-3601	169	27	.	.	PUNCT
cana-3601	170	1	however	however	ADV
cana-3601	170	2	,	,	PUNCT
cana-3601	170	3	the	the	DET
cana-3601	170	4	study	study	NOUN
cana-3601	170	5	also	also	ADV
cana-3601	170	6	acknowledges	acknowledge	VERB
cana-3601	170	7	challenges	challenge	NOUN
cana-3601	170	8	such	such	ADJ
cana-3601	170	9	as	as	ADP
cana-3601	170	10	data	datum	NOUN
cana-3601	170	11	imbalance	imbalance	NOUN
cana-3601	170	12	,	,	PUNCT
cana-3601	170	13	computational	computational	ADJ
cana-3601	170	14	demands	demand	NOUN
cana-3601	170	15	,	,	PUNCT
cana-3601	170	16	and	and	CCONJ
cana-3601	170	17	the	the	DET
cana-3601	170	18	need	need	NOUN
cana-3601	170	19	for	for	ADP
cana-3601	170	20	model	model	NOUN
cana-3601	170	21	interpretability	interpretability	NOUN
cana-3601	170	22	.	.	PUNCT
cana-3601	171	1	addressing	address	VERB
cana-3601	171	2	these	these	DET
cana-3601	171	3	limitations	limitation	NOUN
cana-3601	171	4	will	will	AUX
cana-3601	171	5	require	require	VERB
cana-3601	171	6	collaborative	collaborative	ADJ
cana-3601	171	7	efforts	effort	NOUN
cana-3601	171	8	among	among	ADP
cana-3601	171	9	researchers	researcher	NOUN
cana-3601	171	10	,	,	PUNCT
cana-3601	171	11	practitioners	practitioner	NOUN
cana-3601	171	12	,	,	PUNCT
cana-3601	171	13	and	and	CCONJ
cana-3601	171	14	policymakers	policymaker	NOUN
cana-3601	171	15	.	.	PUNCT
cana-3601	172	1	in	in	ADP
cana-3601	172	2	conclusion	conclusion	NOUN
cana-3601	172	3	,	,	PUNCT
cana-3601	172	4	this	this	DET
cana-3601	172	5	research	research	NOUN
cana-3601	172	6	provides	provide	VERB
cana-3601	172	7	a	a	DET
cana-3601	172	8	robust	robust	ADJ
cana-3601	172	9	framework	framework	NOUN
cana-3601	172	10	for	for	ADP
cana-3601	172	11	integrating	integrate	VERB
cana-3601	172	12	nonlinear	nonlinear	ADJ
cana-3601	172	13	analysis	analysis	NOUN
cana-3601	172	14	into	into	ADP
cana-3601	172	15	educational	educational	ADJ
cana-3601	172	16	streams	stream	NOUN
cana-3601	172	17	,	,	PUNCT
cana-3601	172	18	paving	pave	VERB
cana-3601	172	19	the	the	DET
cana-3601	172	20	way	way	NOUN
cana-3601	172	21	for	for	ADP
cana-3601	172	22	personalized	personalized	ADJ
cana-3601	172	23	,	,	PUNCT
cana-3601	172	24	data	datum	NOUN
cana-3601	172	25	-	-	PUNCT
cana-3601	172	26	driven	drive	VERB
cana-3601	172	27	,	,	PUNCT
cana-3601	172	28	and	and	CCONJ
cana-3601	172	29	inclusive	inclusive	ADJ
cana-3601	172	30	education	education	NOUN
cana-3601	172	31	systems	system	NOUN
cana-3601	172	32	.	.	PUNCT
cana-3601	173	1	the	the	DET
cana-3601	173	2	proposed	propose	VERB
cana-3601	173	3	methodologies	methodology	NOUN
cana-3601	173	4	and	and	CCONJ
cana-3601	173	5	insights	insight	NOUN
cana-3601	173	6	contribute	contribute	VERB
cana-3601	173	7	to	to	ADP
cana-3601	173	8	the	the	DET
cana-3601	173	9	advancement	advancement	NOUN
cana-3601	173	10	of	of	ADP
cana-3601	173	11	educational	educational	ADJ
cana-3601	173	12	analytics	analytic	NOUN
cana-3601	173	13	,	,	PUNCT
cana-3601	173	14	fostering	foster	VERB
cana-3601	173	15	improved	improved	ADJ
cana-3601	173	16	outcomes	outcome	NOUN
cana-3601	173	17	for	for	ADP
cana-3601	173	18	students	student	NOUN
cana-3601	173	19	and	and	CCONJ
cana-3601	173	20	institutions	institution	NOUN
cana-3601	173	21	alike	alike	ADV
cana-3601	173	22	.	.	PUNCT
cana-3601	174	1	references	reference	NOUN
cana-3601	174	2	[	[	X
cana-3601	174	3	1	1	NUM
cana-3601	174	4	]	]	PUNCT
cana-3601	174	5	breiman	breiman	NOUN
cana-3601	174	6	,	,	PUNCT
cana-3601	174	7	l.	l.	PROPN
cana-3601	174	8	(	(	PUNCT
cana-3601	174	9	2001	2001	NUM
cana-3601	174	10	)	)	PUNCT
cana-3601	174	11	.	.	PUNCT
cana-3601	175	1	random	random	ADJ
cana-3601	175	2	forests	forest	NOUN
cana-3601	175	3	.	.	PUNCT
cana-3601	176	1	machine	machine	NOUN
cana-3601	176	2	learning	learning	PROPN
cana-3601	176	3	,	,	PUNCT
cana-3601	176	4	45(1	45(1	NOUN
cana-3601	176	5	)	)	PUNCT
cana-3601	176	6	,	,	PUNCT
cana-3601	176	7	5	5	NUM
cana-3601	176	8	-	-	SYM
cana-3601	176	9	32	32	NUM
cana-3601	176	10	.	.	PUNCT
cana-3601	177	1	[	[	X
cana-3601	177	2	2	2	NUM
cana-3601	177	3	]	]	X
cana-3601	177	4	vapnik	vapnik	X
cana-3601	177	5	,	,	PUNCT
cana-3601	177	6	v.	v.	ADP
cana-3601	177	7	n.	n.	PROPN
cana-3601	177	8	(	(	PUNCT
cana-3601	177	9	1998	1998	NUM
cana-3601	177	10	)	)	PUNCT
cana-3601	177	11	.	.	PUNCT
cana-3601	178	1	statistical	statistical	ADJ
cana-3601	178	2	learning	learning	NOUN
cana-3601	178	3	theory	theory	NOUN
cana-3601	178	4	.	.	PUNCT
cana-3601	179	1	new	new	PROPN
cana-3601	179	2	york	york	PROPN
cana-3601	179	3	:	:	PUNCT
cana-3601	179	4	wiley	wiley	PROPN
cana-3601	179	5	-	-	PUNCT
cana-3601	179	6	interscience	interscience	NOUN
cana-3601	179	7	.	.	PUNCT
cana-3601	180	1	[	[	X
cana-3601	180	2	3	3	NUM
cana-3601	180	3	]	]	X
cana-3601	180	4	zhang	zhang	PROPN
cana-3601	180	5	,	,	PUNCT
cana-3601	180	6	t.	t.	PROPN
cana-3601	180	7	,	,	PUNCT
cana-3601	180	8	&	&	CCONJ
cana-3601	180	9	johnson	johnson	PROPN
cana-3601	180	10	,	,	PUNCT
cana-3601	180	11	e.	e.	PROPN
cana-3601	180	12	(	(	PUNCT
cana-3601	180	13	2019	2019	NUM
cana-3601	180	14	)	)	PUNCT
cana-3601	180	15	.	.	PUNCT
cana-3601	181	1	nonlinear	nonlinear	ADJ
cana-3601	181	2	regression	regression	NOUN
cana-3601	181	3	models	model	NOUN
cana-3601	181	4	in	in	ADP
cana-3601	181	5	educational	educational	ADJ
cana-3601	181	6	research	research	NOUN
cana-3601	181	7	.	.	PUNCT
cana-3601	182	1	educational	educational	ADJ
cana-3601	182	2	data	data	PROPN
cana-3601	182	3	mining	mining	NOUN
cana-3601	182	4	journal	journal	NOUN
cana-3601	182	5	,	,	PUNCT
cana-3601	182	6	14(3	14(3	NUM
cana-3601	182	7	)	)	PUNCT
cana-3601	182	8	,	,	PUNCT
cana-3601	182	9	25	25	NUM
cana-3601	182	10	-	-	SYM
cana-3601	182	11	41	41	NUM
cana-3601	182	12	.	.	PUNCT
cana-3601	183	1	[	[	X
cana-3601	183	2	4	4	NUM
cana-3601	183	3	]	]	X
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cana-3601	183	5	,	,	PUNCT
cana-3601	183	6	i.	i.	PROPN
cana-3601	183	7	,	,	PUNCT
cana-3601	183	8	bengio	bengio	PROPN
cana-3601	183	9	,	,	PUNCT
cana-3601	183	10	y.	y.	PROPN
cana-3601	183	11	,	,	PUNCT
cana-3601	183	12	&	&	CCONJ
cana-3601	183	13	courville	courville	PROPN
cana-3601	183	14	,	,	PUNCT
cana-3601	183	15	a.	a.	NOUN
cana-3601	183	16	(	(	PUNCT
cana-3601	183	17	2016	2016	NUM
cana-3601	183	18	)	)	PUNCT
cana-3601	183	19	.	.	PUNCT
cana-3601	184	1	deep	deep	ADJ
cana-3601	184	2	learning	learning	NOUN
cana-3601	184	3	.	.	PUNCT
cana-3601	185	1	mit	mit	PROPN
cana-3601	185	2	press	press	NOUN
cana-3601	185	3	.	.	PUNCT
cana-3601	186	1	communications	communication	NOUN
cana-3601	186	2	on	on	ADP
cana-3601	186	3	applied	apply	VERB
cana-3601	186	4	nonlinear	nonlinear	ADJ
cana-3601	186	5	analysis	analysis	NOUN
cana-3601	186	6	issn	issn	NOUN
cana-3601	186	7	:	:	PUNCT
cana-3601	186	8	1074	1074	NUM
cana-3601	186	9	-	-	PUNCT
cana-3601	186	10	133x	133x	NUM
cana-3601	186	11	vol	vol	NOUN
cana-3601	186	12	32	32	NUM
cana-3601	186	13	no	no	NOUN
cana-3601	186	14	.	.	PUNCT
cana-3601	187	1	8s	8s	PROPN
cana-3601	187	2	(	(	PUNCT
cana-3601	187	3	2025	2025	NUM
cana-3601	187	4	)	)	PUNCT
cana-3601	187	5	85	85	NUM
cana-3601	187	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3601	188	1	[	[	X
cana-3601	188	2	5	5	NUM
cana-3601	188	3	]	]	X
cana-3601	188	4	hastie	hastie	PROPN
cana-3601	188	5	,	,	PUNCT
cana-3601	188	6	t.	t.	PROPN
cana-3601	188	7	,	,	PUNCT
cana-3601	188	8	tibshirani	tibshirani	PROPN
cana-3601	188	9	,	,	PUNCT
cana-3601	188	10	r.	r.	PROPN
cana-3601	188	11	,	,	PUNCT
cana-3601	188	12	&	&	CCONJ
cana-3601	188	13	friedman	friedman	PROPN
cana-3601	188	14	,	,	PUNCT
cana-3601	188	15	j.	j.	PROPN
cana-3601	188	16	(	(	PUNCT
cana-3601	188	17	2009	2009	NUM
cana-3601	188	18	)	)	PUNCT
cana-3601	188	19	.	.	PUNCT
cana-3601	189	1	the	the	DET
cana-3601	189	2	elements	element	NOUN
cana-3601	189	3	of	of	ADP
cana-3601	189	4	statistical	statistical	ADJ
cana-3601	189	5	learning	learning	NOUN
cana-3601	189	6	.	.	PUNCT
cana-3601	190	1	springer	springer	NOUN
cana-3601	190	2	series	series	PROPN
cana-3601	190	3	in	in	ADP
cana-3601	190	4	statistics	statistic	NOUN
cana-3601	190	5	.	.	PUNCT
cana-3601	191	1	[	[	X
cana-3601	191	2	6	6	NUM
cana-3601	191	3	]	]	SYM
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cana-3601	191	5	,	,	PUNCT
cana-3601	191	6	x.	x.	PROPN
cana-3601	191	7	,	,	PUNCT
cana-3601	191	8	&	&	CCONJ
cana-3601	191	9	liu	liu	PROPN
cana-3601	191	10	,	,	PUNCT
cana-3601	191	11	f.	f.	PROPN
cana-3601	191	12	(	(	PUNCT
cana-3601	191	13	2021	2021	NUM
cana-3601	191	14	)	)	PUNCT
cana-3601	191	15	.	.	PUNCT
cana-3601	191	16	chaos	chaos	NOUN
cana-3601	191	17	theory	theory	NOUN
cana-3601	191	18	in	in	ADP
cana-3601	191	19	student	student	NOUN
cana-3601	191	20	behavior	behavior	NOUN
cana-3601	191	21	analysis	analysis	NOUN
cana-3601	191	22	:	:	PUNCT
cana-3601	191	23	a	a	DET
cana-3601	191	24	machine	machine	NOUN
cana-3601	191	25	learning	learn	VERB
cana-3601	191	26	perspective	perspective	NOUN
cana-3601	191	27	.	.	PUNCT
cana-3601	192	1	complex	complex	ADJ
cana-3601	192	2	systems	system	NOUN
cana-3601	192	3	in	in	ADP
cana-3601	192	4	education	education	NOUN
cana-3601	192	5	,	,	PUNCT
cana-3601	192	6	18(2	18(2	NUM
cana-3601	192	7	)	)	PUNCT
cana-3601	192	8	,	,	PUNCT
cana-3601	192	9	129	129	NUM
cana-3601	192	10	-	-	SYM
cana-3601	192	11	140	140	NUM
cana-3601	192	12	.	.	PUNCT
cana-3601	193	1	[	[	X
cana-3601	193	2	7	7	NUM
cana-3601	193	3	]	]	SYM
cana-3601	193	4	ng	ng	PROPN
cana-3601	193	5	,	,	PUNCT
cana-3601	193	6	a.	a.	PROPN
cana-3601	193	7	y.	y.	PROPN
cana-3601	193	8	,	,	PUNCT
cana-3601	193	9	&	&	CCONJ
cana-3601	193	10	jordan	jordan	PROPN
cana-3601	193	11	,	,	PUNCT
cana-3601	193	12	m.	m.	NOUN
cana-3601	193	13	i.	i.	PROPN
cana-3601	193	14	(	(	PUNCT
cana-3601	193	15	2002	2002	NUM
cana-3601	193	16	)	)	PUNCT
cana-3601	193	17	.	.	PUNCT
cana-3601	194	1	on	on	ADP
cana-3601	194	2	discriminative	discriminative	NOUN
cana-3601	194	3	vs.	vs.	ADP
cana-3601	194	4	generative	generative	ADJ
cana-3601	194	5	classifiers	classifier	NOUN
cana-3601	194	6	:	:	PUNCT
cana-3601	194	7	a	a	DET
cana-3601	194	8	comparison	comparison	NOUN
cana-3601	194	9	of	of	ADP
cana-3601	194	10	logistic	logistic	ADJ
cana-3601	194	11	regression	regression	NOUN
cana-3601	194	12	and	and	CCONJ
cana-3601	194	13	naive	naive	ADJ
cana-3601	194	14	bayes	baye	NOUN
cana-3601	194	15	.	.	PUNCT
cana-3601	195	1	advances	advance	NOUN
cana-3601	195	2	in	in	ADP
cana-3601	195	3	neural	neural	ADJ
cana-3601	195	4	information	information	NOUN
cana-3601	195	5	processing	processing	NOUN
cana-3601	195	6	systems	system	NOUN
cana-3601	195	7	.	.	PUNCT
cana-3601	196	1	[	[	X
cana-3601	196	2	8	8	NUM
cana-3601	196	3	]	]	X
cana-3601	196	4	r.	r.	PROPN
cana-3601	196	5	sathya	sathya	PROPN
cana-3601	196	6	;	;	PUNCT
cana-3601	196	7	v.c	v.c	PROPN
cana-3601	196	8	.	.	PROPN
cana-3601	196	9	bharathi	bharathi	PROPN
cana-3601	196	10	;	;	PUNCT
cana-3601	196	11	s.	s.	PROPN
cana-3601	196	12	ananthi	ananthi	PROPN
cana-3601	196	13	;	;	PUNCT
cana-3601	196	14	t.	t.	PROPN
cana-3601	196	15	vijayakumar	vijayakumar	PROPN
cana-3601	196	16	;	;	PUNCT
cana-3601	196	17	rvs	rvs	NOUN
cana-3601	196	18	praveen	praveen	PROPN
cana-3601	196	19	;	;	PUNCT
cana-3601	196	20	dhivya	dhivya	PROPN
cana-3601	196	21	ramasamy	ramasamy	NOUN
cana-3601	196	22	,	,	PUNCT
cana-3601	196	23	real	real	ADJ
cana-3601	196	24	time	time	NOUN
cana-3601	196	25	prediction	prediction	NOUN
cana-3601	196	26	of	of	ADP
cana-3601	196	27	diabetes	diabetes	NOUN
cana-3601	196	28	by	by	ADP
cana-3601	196	29	using	use	VERB
cana-3601	196	30	artificial	artificial	ADJ
cana-3601	196	31	intelligence	intelligence	NOUN
cana-3601	196	32	,	,	PUNCT
cana-3601	196	33	2024	2024	NUM
cana-3601	196	34	2nd	2nd	ADJ
cana-3601	196	35	international	international	ADJ
cana-3601	196	36	conference	conference	NOUN
cana-3601	196	37	on	on	ADP
cana-3601	196	38	self	self	NOUN
cana-3601	196	39	sustainable	sustainable	ADJ
cana-3601	196	40	artificial	artificial	ADJ
cana-3601	196	41	intelligence	intelligence	NOUN
cana-3601	196	42	systems	system	NOUN
cana-3601	196	43	(	(	PUNCT
cana-3601	196	44	icssas	icssa	NOUN
cana-3601	196	45	)	)	PUNCT
cana-3601	196	46	,	,	PUNCT
cana-3601	196	47	doi	doi	NOUN
cana-3601	196	48	:	:	PUNCT
cana-3601	196	49	10.1109	10.1109	NUM
cana-3601	196	50	/	/	SYM
cana-3601	197	1	icssas64001.2024.10760985	icssas64001.2024.10760985	PROPN
cana-3601	197	2	[	[	X
cana-3601	197	3	9	9	NUM
cana-3601	197	4	]	]	X
cana-3601	197	5	rvs	rvs	NOUN
cana-3601	197	6	praveen;b	praveen;b	NOUN
cana-3601	197	7	vinoth;s	vinoth;s	NOUN
cana-3601	197	8	.	.	PUNCT
cana-3601	198	1	sowmiya;k	sowmiya;k	PROPN
cana-3601	198	2	.	.	PUNCT
cana-3601	199	1	tharageswari;purushothapatnapu	tharageswari;purushothapatnapu	PROPN
cana-3601	199	2	naga	naga	PROPN
cana-3601	199	3	venkata	venkata	PROPN
cana-3601	199	4	vamsilala;r	vamsilala;r	PROPN
cana-3601	199	5	.	.	PUNCT
cana-3601	200	1	sathya	sathya	PROPN
cana-3601	200	2	,	,	PUNCT
cana-3601	200	3	“	"	PUNCT
cana-3601	200	4	air	air	NOUN
cana-3601	200	5	pollution	pollution	NOUN
cana-3601	200	6	monitoring	monitoring	NOUN
cana-3601	200	7	system	system	NOUN
cana-3601	200	8	using	use	VERB
cana-3601	200	9	machine	machine	NOUN
cana-3601	200	10	learning	learn	VERB
cana-3601	200	11	techniques	technique	NOUN
cana-3601	200	12	for	for	ADP
cana-3601	200	13	smart	smart	ADJ
cana-3601	200	14	cities	city	NOUN
cana-3601	200	15	,	,	PUNCT
cana-3601	200	16	”	"	PUNCT
cana-3601	200	17	2024	2024	NUM
cana-3601	200	18	2nd	2nd	ADJ
cana-3601	200	19	international	international	ADJ
cana-3601	200	20	conference	conference	NOUN
cana-3601	200	21	on	on	ADP
cana-3601	200	22	self	self	NOUN
cana-3601	200	23	sustainable	sustainable	ADJ
cana-3601	200	24	artificial	artificial	ADJ
cana-3601	200	25	intelligence	intelligence	NOUN
cana-3601	200	26	systems	system	NOUN
cana-3601	200	27	(	(	PUNCT
cana-3601	200	28	icssas	icssa	NOUN
cana-3601	200	29	)	)	PUNCT
cana-3601	200	30	,	,	PUNCT
cana-3601	200	31	doi	doi	NOUN
cana-3601	200	32	:	:	PUNCT
cana-3601	200	33	10.1109	10.1109	NUM
cana-3601	200	34	/	/	SYM
cana-3601	200	35	icssas64001.2024.10760948	icssas64001.2024.10760948	PROPN
cana-3601	201	1	[	[	X
cana-3601	201	2	10	10	NUM
cana-3601	201	3	]	]	X
cana-3601	201	4	rvs	rvs	NOUN
cana-3601	201	5	praveen;u	praveen;u	PROPN
cana-3601	201	6	hemavathi;r	hemavathi;r	NOUN
cana-3601	201	7	.	.	PUNCT
cana-3601	202	1	sathya;a	sathya;a	PROPN
cana-3601	202	2	.	.	PUNCT
cana-3601	203	1	abubakkar	abubakkar	PROPN
cana-3601	203	2	siddiq;m	siddiq;m	PROPN
cana-3601	203	3	.	.	PUNCT
cana-3601	204	1	gokul	gokul	PROPN
cana-3601	204	2	sanjay;s	sanjay;s	PROPN
cana-3601	204	3	.	.	PUNCT
cana-3601	205	1	gowdish	gowdish	ADJ
cana-3601	205	2	,	,	PUNCT
cana-3601	205	3	“	"	PUNCT
cana-3601	205	4	ai	ai	VERB
cana-3601	205	5	powered	powered	ADJ
cana-3601	205	6	plant	plant	NOUN
cana-3601	205	7	identification	identification	NOUN
cana-3601	205	8	and	and	CCONJ
cana-3601	205	9	plant	plant	NOUN
cana-3601	205	10	disease	disease	NOUN
cana-3601	205	11	classification	classification	NOUN
cana-3601	205	12	system	system	NOUN
cana-3601	205	13	,	,	PUNCT
cana-3601	205	14	”	"	PUNCT
cana-3601	205	15	2024	2024	NUM
cana-3601	205	16	4th	4th	ADJ
cana-3601	205	17	international	international	ADJ
cana-3601	205	18	conference	conference	NOUN
cana-3601	205	19	on	on	ADP
cana-3601	205	20	sustainable	sustainable	ADJ
cana-3601	205	21	expert	expert	NOUN
cana-3601	205	22	systems	system	NOUN
cana-3601	205	23	(	(	PUNCT
cana-3601	205	24	icses	icse	NOUN
cana-3601	205	25	)	)	PUNCT
cana-3601	205	26	,	,	PUNCT
cana-3601	205	27	doi	doi	NOUN
cana-3601	205	28	:	:	PUNCT
cana-3601	205	29	10.1109	10.1109	NUM
cana-3601	205	30	/	/	SYM
cana-3601	206	1	icses63445.2024.10763167	icses63445.2024.10763167	PROPN
cana-3601	206	2	[	[	X
cana-3601	206	3	11	11	NUM
cana-3601	206	4	]	]	X
cana-3601	206	5	neeraj	neeraj	PROPN
cana-3601	206	6	kumar;sanjay	kumar;sanjay	PROPN
cana-3601	206	7	laxmanrao	laxmanrao	PROPN
cana-3601	206	8	kurkute;v	kurkute;v	PROPN
cana-3601	206	9	.	.	PUNCT
cana-3601	207	1	kalpana;anand	kalpana;anand	PROPN
cana-3601	207	2	karuppannan;rvs	karuppannan;rvs	PROPN
cana-3601	207	3	praveen;soumya	praveen;soumya	PROPN
cana-3601	207	4	mishra	mishra	PROPN
cana-3601	207	5	,	,	PUNCT
cana-3601	207	6	“	"	PUNCT
cana-3601	207	7	modelling	modelling	NOUN
cana-3601	207	8	and	and	CCONJ
cana-3601	207	9	evaluation	evaluation	NOUN
cana-3601	207	10	of	of	ADP
cana-3601	207	11	li	li	PROPN
cana-3601	207	12	-	-	ADJ
cana-3601	207	13	ion	ion	NOUN
cana-3601	207	14	battery	battery	NOUN
cana-3601	207	15	performance	performance	NOUN
cana-3601	207	16	based	base	VERB
cana-3601	207	17	on	on	ADP
cana-3601	207	18	the	the	DET
cana-3601	207	19	electric	electric	ADJ
cana-3601	207	20	vehicle	vehicle	NOUN
cana-3601	207	21	tiled	tile	VERB
cana-3601	207	22	tests	test	NOUN
cana-3601	207	23	using	use	VERB
cana-3601	207	24	kalman	kalman	PROPN
cana-3601	207	25	filter	filter	NOUN
cana-3601	207	26	-	-	PUNCT
cana-3601	207	27	gbdt	gbdt	NOUN
cana-3601	207	28	approach	approach	NOUN
cana-3601	207	29	”	"	PUNCT
cana-3601	207	30	2024	2024	NUM
cana-3601	207	31	international	international	ADJ
cana-3601	207	32	conference	conference	NOUN
cana-3601	207	33	on	on	ADP
cana-3601	207	34	intelligent	intelligent	ADJ
cana-3601	207	35	algorithms	algorithm	NOUN
cana-3601	207	36	for	for	ADP
cana-3601	207	37	computational	computational	ADJ
cana-3601	207	38	intelligence	intelligence	NOUN
cana-3601	207	39	systems	system	NOUN
cana-3601	207	40	(	(	PUNCT
cana-3601	207	41	iacis	iacis	PROPN
cana-3601	207	42	)	)	PUNCT
cana-3601	207	43	,	,	PUNCT
cana-3601	207	44	doi	doi	NOUN
cana-3601	207	45	:	:	PUNCT
cana-3601	207	46	10.1109	10.1109	NUM
cana-3601	207	47	/	/	SYM
cana-3601	207	48	iacis61494.2024.10721979	iacis61494.2024.10721979	PROPN
cana-3601	208	1	[	[	X
cana-3601	208	2	12	12	NUM
cana-3601	208	3	]	]	X
cana-3601	208	4	tushar	tushar	PROPN
cana-3601	208	5	dhar	dhar	PROPN
cana-3601	208	6	shukla;g	shukla;g	PROPN
cana-3601	208	7	.	.	PUNCT
cana-3601	209	1	radha;dharmendra	radha;dharmendra	PROPN
cana-3601	209	2	kumar	kumar	PROPN
cana-3601	209	3	yadav;chaitali	yadav;chaitali	PROPN
cana-3601	209	4	bhattacharya;rvs	bhattacharya;rvs	PROPN
cana-3601	209	5	praveen;nikhil	praveen;nikhil	PROPN
cana-3601	209	6	n.	n.	PROPN
cana-3601	209	7	yokar	yokar	PROPN
cana-3601	209	8	,	,	PUNCT
cana-3601	209	9	“	"	PUNCT
cana-3601	209	10	advanced	advanced	ADJ
cana-3601	209	11	student	student	NOUN
cana-3601	209	12	success	success	NOUN
cana-3601	209	13	predictions	prediction	NOUN
cana-3601	209	14	in	in	ADP
cana-3601	209	15	higher	high	ADJ
cana-3601	209	16	education	education	NOUN
cana-3601	209	17	with	with	ADP
cana-3601	209	18	graph	graph	NOUN
cana-3601	209	19	attention	attention	NOUN
cana-3601	209	20	networks	network	NOUN
cana-3601	209	21	for	for	ADP
cana-3601	209	22	personalized	personalized	ADJ
cana-3601	209	23	learning	learning	NOUN
cana-3601	209	24	”	"	PUNCT
cana-3601	209	25	,	,	PUNCT
cana-3601	209	26	2024	2024	NUM
cana-3601	209	27	first	first	ADJ
cana-3601	209	28	international	international	ADJ
cana-3601	209	29	conference	conference	NOUN
cana-3601	209	30	on	on	ADP
cana-3601	209	31	software	software	NOUN
cana-3601	209	32	,	,	PUNCT
cana-3601	209	33	systems	system	NOUN
cana-3601	209	34	and	and	CCONJ
cana-3601	209	35	information	information	NOUN
cana-3601	209	36	technology	technology	NOUN
cana-3601	209	37	(	(	PUNCT
cana-3601	209	38	ssitcon	ssitcon	NOUN
cana-3601	209	39	)	)	PUNCT
cana-3601	209	40	,	,	PUNCT
cana-3601	209	41	doi	doi	NOUN
cana-3601	209	42	:	:	PUNCT
cana-3601	209	43	10.1109	10.1109	NUM
cana-3601	209	44	/	/	SYM
cana-3601	209	45	ssitcon62437.2024.10796791	ssitcon62437.2024.10796791	PROPN
cana-3601	209	46	[	[	NOUN
cana-3601	209	47	13	13	NUM
cana-3601	209	48	]	]	X
cana-3601	209	49	v.	v.	ADP
cana-3601	209	50	yamuna;praveen	yamuna;praveen	PROPN
cana-3601	209	51	rvs;r	rvs;r	PROPN
cana-3601	209	52	.	.	PUNCT
cana-3601	209	53	sathya;m	sathya;m	PROPN
cana-3601	209	54	.	.	PROPN
cana-3601	209	55	dhivva;r	dhivva;r	PROPN
cana-3601	209	56	.	.	PUNCT
cana-3601	210	1	lidiya;p	lidiya;p	X
cana-3601	210	2	.	.	PUNCT
cana-3601	210	3	sowmiya	sowmiya	NOUN
cana-3601	210	4	,	,	PUNCT
cana-3601	210	5	“	"	PUNCT
cana-3601	210	6	integrating	integrate	VERB
cana-3601	210	7	ai	ai	VERB
cana-3601	210	8	for	for	ADP
cana-3601	210	9	improved	improved	ADJ
cana-3601	210	10	brain	brain	NOUN
cana-3601	210	11	tumor	tumor	NOUN
cana-3601	210	12	detection	detection	NOUN
cana-3601	210	13	and	and	CCONJ
cana-3601	210	14	classification	classification	NOUN
cana-3601	210	15	”	"	PUNCT
cana-3601	210	16	2024	2024	NUM
cana-3601	210	17	4th	4th	ADJ
cana-3601	210	18	international	international	ADJ
cana-3601	210	19	conference	conference	NOUN
cana-3601	210	20	on	on	ADP
cana-3601	210	21	sustainable	sustainable	ADJ
cana-3601	210	22	expert	expert	NOUN
cana-3601	210	23	systems	system	NOUN
cana-3601	210	24	(	(	PUNCT
cana-3601	210	25	icses	icse	NOUN
cana-3601	210	26	)	)	PUNCT
cana-3601	210	27	,	,	PUNCT
cana-3601	210	28	doi	doi	NOUN
cana-3601	210	29	:	:	PUNCT
cana-3601	210	30	10.1109	10.1109	NUM
cana-3601	210	31	/	/	SYM
cana-3601	211	1	icses63445.2024.10763262	icses63445.2024.10763262	PROPN
cana-3601	212	1	[	[	X
cana-3601	212	2	14	14	NUM
cana-3601	212	3	]	]	SYM
cana-3601	212	4	rvs	rvs	ADJ
cana-3601	212	5	praveen;aktalina	praveen;aktalina	NOUN
cana-3601	212	6	torogeldieva;b	torogeldieva;b	NOUN
cana-3601	212	7	saravanan;ajay	saravanan;ajay	NOUN
cana-3601	212	8	kumar;pushpa	kumar;pushpa	PROPN
cana-3601	212	9	rani;bhimanand	rani;bhimanand	PROPN
cana-3601	212	10	pandurang	pandurang	PROPN
cana-3601	212	11	gajbhare	gajbhare	NOUN
cana-3601	212	12	,	,	PUNCT
cana-3601	212	13	“	"	PUNCT
cana-3601	212	14	enhancing	enhance	VERB
cana-3601	212	15	intellectual	intellectual	ADJ
cana-3601	212	16	property	property	NOUN
cana-3601	212	17	rights(ipr	rights(ipr	NOUN
cana-3601	212	18	)	)	PUNCT
cana-3601	212	19	transparency	transparency	NOUN
cana-3601	212	20	with	with	ADP
cana-3601	212	21	blockchain	blockchain	PROPN
cana-3601	212	22	and	and	CCONJ
cana-3601	212	23	dual	dual	ADJ
cana-3601	212	24	graph	graph	NOUN
cana-3601	212	25	neural	neural	ADJ
cana-3601	212	26	networks	network	NOUN
cana-3601	212	27	”	"	PUNCT
cana-3601	212	28	2024	2024	NUM
cana-3601	212	29	first	first	ADJ
cana-3601	212	30	international	international	ADJ
cana-3601	212	31	conference	conference	NOUN
cana-3601	212	32	on	on	ADP
cana-3601	212	33	software	software	NOUN
cana-3601	212	34	,	,	PUNCT
cana-3601	212	35	systems	system	NOUN
cana-3601	212	36	and	and	CCONJ
cana-3601	212	37	information	information	NOUN
cana-3601	212	38	technology	technology	NOUN
cana-3601	212	39	(	(	PUNCT
cana-3601	212	40	ssitcon	ssitcon	NOUN
cana-3601	212	41	)	)	PUNCT
cana-3601	212	42	,	,	PUNCT
cana-3601	212	43	doi	doi	NOUN
cana-3601	212	44	:	:	PUNCT
cana-3601	213	1	10.1109	10.1109	NUM
cana-3601	213	2	/	/	SYM
cana-3601	213	3	ssitcon62437.2024.10795998	ssitcon62437.2024.10795998	PROPN
cana-3601	214	1	[	[	X
cana-3601	214	2	15	15	NUM
cana-3601	214	3	]	]	X
cana-3601	214	4	sarthak	sarthak	PROPN
cana-3601	214	5	sharma;suman	sharma;suman	PROPN
cana-3601	214	6	vij;rvs	vij;rvs	PROPN
cana-3601	214	7	praveen;s	praveen;s	PROPN
cana-3601	214	8	.	.	PUNCT
cana-3601	215	1	srinivasan;dharmendra	srinivasan;dharmendra	PROPN
cana-3601	215	2	kumar	kumar	PROPN
cana-3601	215	3	yadav;raj	yadav;raj	PROPN
cana-3601	215	4	kumar	kumar	PROPN
cana-3601	215	5	v	v	ADP
cana-3601	215	6	s	s	PROPN
cana-3601	215	7	,	,	PUNCT
cana-3601	215	8	“	"	PUNCT
cana-3601	215	9	stress	stress	NOUN
cana-3601	215	10	prediction	prediction	NOUN
cana-3601	215	11	in	in	ADP
cana-3601	215	12	higher	high	ADJ
cana-3601	215	13	education	education	NOUN
cana-3601	215	14	students	student	NOUN
cana-3601	215	15	using	use	VERB
cana-3601	215	16	psychometric	psychometric	ADJ
cana-3601	215	17	assessments	assessment	NOUN
cana-3601	215	18	and	and	CCONJ
cana-3601	215	19	aoa	aoa	PROPN
cana-3601	215	20	-	-	PUNCT
cana-3601	215	21	cnn	cnn	PROPN
cana-3601	215	22	-	-	PUNCT
cana-3601	215	23	xgboost	xgboost	PROPN
cana-3601	215	24	models	model	NOUN
cana-3601	215	25	,	,	PUNCT
cana-3601	215	26	”	"	PUNCT
cana-3601	215	27	2024	2024	NUM
cana-3601	215	28	4th	4th	ADJ
cana-3601	215	29	international	international	ADJ
cana-3601	215	30	conference	conference	NOUN
cana-3601	215	31	on	on	ADP
cana-3601	215	32	sustainable	sustainable	ADJ
cana-3601	215	33	expert	expert	NOUN
cana-3601	215	34	systems	system	NOUN
cana-3601	215	35	(	(	PUNCT
cana-3601	215	36	icses	icse	NOUN
cana-3601	215	37	)	)	PUNCT
cana-3601	215	38	,	,	PUNCT
cana-3601	215	39	doi	doi	NOUN
cana-3601	215	40	:	:	PUNCT
cana-3601	215	41	10.1109	10.1109	NUM
cana-3601	215	42	/	/	SYM
cana-3601	215	43	icses63445.2024.10763288	icses63445.2024.10763288	PROPN
cana-3601	215	44	[	[	X
cana-3601	215	45	16	16	NUM
cana-3601	215	46	]	]	X
cana-3601	215	47	dr	dr	PROPN
cana-3601	215	48	.	.	PROPN
cana-3601	215	49	swapnil	swapnil	PROPN
cana-3601	215	50	b.	b.	PROPN
cana-3601	215	51	mohod	mohod	PROPN
cana-3601	215	52	,	,	PUNCT
cana-3601	215	53	ketki	ketki	PROPN
cana-3601	215	54	r.	r.	PROPN
cana-3601	215	55	ingole	ingole	PROPN
cana-3601	215	56	,	,	PUNCT
cana-3601	215	57	dr	dr	PROPN
cana-3601	215	58	.	.	PROPN
cana-3601	215	59	chethana	chethana	PROPN
cana-3601	215	60	c	c	PROPN
cana-3601	215	61	,	,	PUNCT
cana-3601	215	62	dr	dr	PROPN
cana-3601	215	63	.	.	PROPN
cana-3601	215	64	rvs	rvs	PROPN
cana-3601	215	65	praveen	praveen	PROPN
cana-3601	215	66	,	,	PUNCT
cana-3601	215	67	a.	a.	PROPN
cana-3601	215	68	deepak	deepak	PROPN
cana-3601	215	69	,	,	PUNCT
cana-3601	215	70	mrs	mrs	PROPN
cana-3601	215	71	b.	b.	PROPN
cana-3601	215	72	sukshma	sukshma	PROPN
cana-3601	215	73	,	,	PUNCT
cana-3601	215	74	dr	dr	PROPN
cana-3601	215	75	.	.	PROPN
cana-3601	215	76	anurag	anurag	PROPN
cana-3601	215	77	shrivastava	shrivastava	PROPN
cana-3601	215	78	.	.	PUNCT
cana-3601	216	1	"using	"use	VERB
cana-3601	216	2	convolutional	convolutional	ADJ
cana-3601	216	3	neural	neural	ADJ
cana-3601	216	4	networks	network	NOUN
cana-3601	216	5	for	for	ADP
cana-3601	216	6	accurate	accurate	ADJ
cana-3601	216	7	medical	medical	ADJ
cana-3601	216	8	image	image	NOUN
cana-3601	216	9	analysis	analysis	NOUN
cana-3601	216	10	"	"	PUNCT
cana-3601	216	11	,	,	PUNCT
cana-3601	216	12	3819	3819	NUM
cana-3601	216	13	-	-	SYM
cana-3601	216	14	3829	3829	NUM
cana-3601	216	15	,	,	PUNCT
cana-3601	216	16	doi	doi	NOUN
cana-3601	216	17	:	:	PUNCT
cana-3601	216	18	https://doi.org/10.52783/fhi.351	https://doi.org/10.52783/fhi.351	PROPN
cana-3601	216	19	[	[	X
cana-3601	216	20	17	17	NUM
cana-3601	216	21	]	]	X
cana-3601	216	22	dr	dr	PROPN
cana-3601	216	23	.	.	PROPN
cana-3601	216	24	mohammad	mohammad	PROPN
cana-3601	216	25	ahmar	ahmar	PROPN
cana-3601	216	26	khan	khan	PROPN
cana-3601	216	27	,	,	PUNCT
cana-3601	216	28	dr	dr	PROPN
cana-3601	216	29	.	.	PROPN
cana-3601	216	30	shanthi	shanthi	PROPN
cana-3601	216	31	kumaraguru	kumaraguru	PROPN
cana-3601	216	32	,	,	PUNCT
cana-3601	216	33	dr	dr	PROPN
cana-3601	216	34	.	.	PROPN
cana-3601	216	35	rvs	rvs	PROPN
cana-3601	216	36	praveen	praveen	PROPN
cana-3601	216	37	,	,	PUNCT
cana-3601	216	38	narender	narender	X
cana-3601	216	39	chinthamu	chinthamu	PROPN
cana-3601	216	40	,	,	PUNCT
cana-3601	216	41	dr	dr	PROPN
cana-3601	216	42	rashel	rashel	PROPN
cana-3601	216	43	sarkar	sarkar	PROPN
cana-3601	216	44	,	,	PUNCT
cana-3601	216	45	nilakshi	nilakshi	PROPN
cana-3601	216	46	deka	deka	PROPN
cana-3601	216	47	,	,	PUNCT
cana-3601	216	48	dr	dr	PROPN
cana-3601	216	49	.	.	PROPN
cana-3601	216	50	anurag	anurag	PROPN
cana-3601	216	51	shrivastava	shrivastava	PROPN
cana-3601	216	52	,	,	PUNCT
cana-3601	216	53	"	"	PUNCT
cana-3601	216	54	exploring	explore	VERB
cana-3601	216	55	the	the	DET
cana-3601	216	56	role	role	NOUN
cana-3601	216	57	of	of	ADP
cana-3601	216	58	artificial	artificial	ADJ
cana-3601	216	59	intelligence	intelligence	NOUN
cana-3601	216	60	in	in	ADP
cana-3601	216	61	personalized	personalized	ADJ
cana-3601	216	62	healthcare	healthcare	NOUN
cana-3601	216	63	:	:	PUNCT
cana-3601	216	64	from	from	ADP
cana-3601	216	65	predictive	predictive	ADJ
cana-3601	216	66	diagnostics	diagnostic	NOUN
cana-3601	216	67	to	to	ADP
cana-3601	216	68	tailored	tailor	VERB
cana-3601	216	69	treatment	treatment	NOUN
cana-3601	216	70	plans	plan	NOUN
cana-3601	216	71	"	"	PUNCT
cana-3601	216	72	,	,	PUNCT
cana-3601	216	73	2786	2786	NUM
cana-3601	216	74	-	-	SYM
cana-3601	216	75	2798	2798	NUM
cana-3601	216	76	,	,	PUNCT
cana-3601	216	77	doi	doi	NOUN
cana-3601	216	78	:	:	PUNCT
cana-3601	216	79	https://doi.org/10.52783/fhi.262	https://doi.org/10.52783/fhi.262	PROPN
cana-3601	217	1	[	[	X
cana-3601	217	2	18	18	NUM
cana-3601	217	3	]	]	X
cana-3601	217	4	devyani	devyani	PROPN
cana-3601	217	5	chatterji	chatterji	PROPN
cana-3601	217	6	,	,	PUNCT
cana-3601	217	7	raghvendra	raghvendra	PROPN
cana-3601	217	8	,	,	PUNCT
cana-3601	217	9	rvs	rvs	NOUN
cana-3601	217	10	praveen	praveen	PROPN
cana-3601	217	11	,	,	PUNCT
cana-3601	217	12	chaitanya	chaitanya	PROPN
cana-3601	217	13	koneti	koneti	PROPN
cana-3601	217	14	,	,	PUNCT
cana-3601	217	15	sumi	sumi	PROPN
cana-3601	217	16	alex	alex	PROPN
cana-3601	217	17	,	,	PUNCT
cana-3601	217	18	deeja	deeja	PROPN
cana-3601	217	19	s.	s.	PROPN
cana-3601	217	20	(	(	PUNCT
cana-3601	217	21	2024	2024	NUM
cana-3601	217	22	)	)	PUNCT
cana-3601	217	23	.	.	PUNCT
cana-3601	218	1	challenge	challenge	NOUN
cana-3601	218	2	and	and	CCONJ
cana-3601	218	3	impact	impact	NOUN
cana-3601	218	4	and	and	CCONJ
cana-3601	218	5	role	role	NOUN
cana-3601	218	6	of	of	ADP
cana-3601	218	7	innovation	innovation	NOUN
cana-3601	218	8	and	and	CCONJ
cana-3601	218	9	entrepreneurship	entrepreneurship	NOUN
cana-3601	218	10	in	in	ADP
cana-3601	218	11	business	business	NOUN
cana-3601	218	12	growth	growth	NOUN
cana-3601	218	13	.	.	PUNCT
cana-3601	219	1	european	european	ADJ
cana-3601	219	2	economic	economic	ADJ
cana-3601	219	3	letters	letter	NOUN
cana-3601	219	4	(	(	PUNCT
cana-3601	219	5	eel	eel	NOUN
cana-3601	219	6	)	)	PUNCT
cana-3601	219	7	,	,	PUNCT
cana-3601	219	8	14(3	14(3	NUM
cana-3601	219	9	)	)	PUNCT
cana-3601	219	10	,	,	PUNCT
cana-3601	219	11	1141	1141	NUM
cana-3601	219	12	–	–	PUNCT
cana-3601	219	13	1149	1149	NUM
cana-3601	219	14	.	.	PUNCT
cana-3601	220	1	https://doi.org/10.52783/eel.v14i3.1875	https://doi.org/10.52783/eel.v14i3.1875	PRON
cana-3601	220	2	[	[	X
cana-3601	220	3	19	19	NUM
cana-3601	220	4	]	]	X
cana-3601	220	5	b.	b.	PROPN
cana-3601	220	6	sangeetha	sangeetha	PROPN
cana-3601	220	7	,	,	PUNCT
cana-3601	220	8	rvs	rvs	NOUN
cana-3601	220	9	praveen	praveen	PROPN
cana-3601	220	10	,	,	PUNCT
cana-3601	220	11	k.	k.	PROPN
cana-3601	220	12	sivakumar	sivakumar	PROPN
cana-3601	220	13	,	,	PUNCT
cana-3601	220	14	deshmukh	deshmukh	PROPN
cana-3601	220	15	narendra	narendra	PROPN
cana-3601	220	16	pandurang	pandurang	PROPN
cana-3601	220	17	,	,	PUNCT
cana-3601	220	18	deepak	deepak	PROPN
cana-3601	220	19	sundrani	sundrani	PROPN
cana-3601	220	20	,	,	PUNCT
cana-3601	220	21	k.	k.	PROPN
cana-3601	220	22	soujanya	soujanya	PROPN
cana-3601	220	23	.	.	PUNCT
cana-3601	221	1	(	(	PUNCT
cana-3601	221	2	2024	2024	NUM
cana-3601	221	3	)	)	PUNCT
cana-3601	221	4	.	.	PUNCT
cana-3601	222	1	behavioural	behavioural	ADJ
cana-3601	222	2	economics	economic	NOUN
cana-3601	222	3	and	and	CCONJ
cana-3601	222	4	consumer	consumer	NOUN
cana-3601	222	5	decision	decision	NOUN
cana-3601	222	6	-	-	PUNCT
cana-3601	222	7	making	making	NOUN
cana-3601	222	8	:	:	PUNCT
cana-3601	222	9	a	a	DET
cana-3601	222	10	study	study	NOUN
cana-3601	222	11	of	of	ADP
cana-3601	222	12	financial	financial	ADJ
cana-3601	222	13	products	product	NOUN
cana-3601	222	14	.	.	PUNCT
cana-3601	223	1	european	european	ADJ
cana-3601	223	2	economic	economic	ADJ
cana-3601	223	3	letters	letter	NOUN
cana-3601	223	4	(	(	PUNCT
cana-3601	223	5	eel	eel	NOUN
cana-3601	223	6	)	)	PUNCT
cana-3601	223	7	,	,	PUNCT
cana-3601	223	8	14(3	14(3	NUM
cana-3601	223	9	)	)	PUNCT
cana-3601	223	10	,	,	PUNCT
cana-3601	223	11	2441–2450	2441–2450	NUM
cana-3601	223	12	.	.	PUNCT
cana-3601	224	1	[	[	X
cana-3601	224	2	20	20	NUM
cana-3601	224	3	]	]	X
cana-3601	224	4	devyani	devyani	PROPN
cana-3601	224	5	chatterji	chatterji	PROPN
cana-3601	224	6	,	,	PUNCT
cana-3601	224	7	raghvendra	raghvendra	PROPN
cana-3601	224	8	,	,	PUNCT
cana-3601	224	9	rvs	rvs	NOUN
cana-3601	224	10	praveen	praveen	PROPN
cana-3601	224	11	,	,	PUNCT
cana-3601	224	12	chaitanya	chaitanya	PROPN
cana-3601	224	13	koneti	koneti	PROPN
cana-3601	224	14	,	,	PUNCT
cana-3601	224	15	sumi	sumi	PROPN
cana-3601	224	16	alex	alex	PROPN
cana-3601	224	17	,	,	PUNCT
cana-3601	224	18	deeja	deeja	PROPN
cana-3601	224	19	s.	s.	PROPN
cana-3601	224	20	(	(	PUNCT
cana-3601	224	21	2024	2024	NUM
cana-3601	224	22	)	)	PUNCT
cana-3601	224	23	.	.	PUNCT
cana-3601	225	1	challenge	challenge	NOUN
cana-3601	225	2	and	and	CCONJ
cana-3601	225	3	impact	impact	NOUN
cana-3601	225	4	and	and	CCONJ
cana-3601	225	5	role	role	NOUN
cana-3601	225	6	of	of	ADP
cana-3601	225	7	innovation	innovation	NOUN
cana-3601	225	8	and	and	CCONJ
cana-3601	225	9	entrepreneurship	entrepreneurship	NOUN
cana-3601	225	10	in	in	ADP
cana-3601	225	11	business	business	NOUN
cana-3601	225	12	growth	growth	NOUN
cana-3601	225	13	.	.	PUNCT
cana-3601	226	1	european	european	ADJ
cana-3601	226	2	economic	economic	ADJ
cana-3601	226	3	letters	letter	NOUN
cana-3601	226	4	(	(	PUNCT
cana-3601	226	5	eel	eel	NOUN
cana-3601	226	6	)	)	PUNCT
cana-3601	226	7	,	,	PUNCT
cana-3601	226	8	14(3	14(3	NUM
cana-3601	226	9	)	)	PUNCT
cana-3601	226	10	,	,	PUNCT
cana-3601	226	11	1141	1141	NUM
cana-3601	226	12	–	–	PUNCT
cana-3601	226	13	1149	1149	NUM
cana-3601	226	14	.	.	PUNCT
cana-3601	227	1	https://doi.org/10.52783/eel.v14i3.1875	https://doi.org/10.52783/eel.v14i3.1875	PRON
cana-3601	227	2	[	[	X
cana-3601	227	3	21	21	NUM
cana-3601	227	4	]	]	X
cana-3601	227	5	sandeep	sandeep	PROPN
cana-3601	227	6	lopez	lopez	PROPN
cana-3601	227	7	,	,	PUNCT
cana-3601	227	8	dr	dr	PROPN
cana-3601	227	9	.	.	PROPN
cana-3601	227	10	vani	vani	PROPN
cana-3601	227	11	sarada	sarada	PROPN
cana-3601	227	12	,	,	PUNCT
cana-3601	227	13	dr	dr	PROPN
cana-3601	227	14	.	.	PROPN
cana-3601	227	15	rvs	rvs	PROPN
cana-3601	227	16	praveen	praveen	PROPN
cana-3601	227	17	,	,	PUNCT
cana-3601	227	18	anita	anita	PROPN
cana-3601	227	19	pandey	pandey	PROPN
cana-3601	227	20	,	,	PUNCT
cana-3601	227	21	monalisa	monalisa	PROPN
cana-3601	227	22	khuntia	khuntia	PROPN
cana-3601	227	23	,	,	PUNCT
cana-3601	227	24	dr	dr	PROPN
cana-3601	227	25	bhadrappa	bhadrappa	PROPN
cana-3601	227	26	haralayya	haralayya	NOUN
cana-3601	227	27	,	,	PUNCT
cana-3601	227	28	"	"	PUNCT
cana-3601	227	29	artificial	artificial	ADJ
cana-3601	227	30	intelligence	intelligence	NOUN
cana-3601	227	31	challenges	challenge	NOUN
cana-3601	227	32	and	and	CCONJ
cana-3601	227	33	role	role	NOUN
cana-3601	227	34	for	for	ADP
cana-3601	227	35	sustainable	sustainable	ADJ
cana-3601	227	36	education	education	NOUN
cana-3601	227	37	in	in	ADP
cana-3601	227	38	india	india	PROPN
cana-3601	227	39	:	:	PUNCT
cana-3601	227	40	problems	problem	NOUN
cana-3601	227	41	and	and	CCONJ
cana-3601	227	42	prospects	prospect	NOUN
cana-3601	227	43	"	"	PUNCT
cana-3601	227	44	,	,	PUNCT
cana-3601	227	45	vol	vol	NOUN
cana-3601	227	46	.	.	PROPN
cana-3601	227	47	44	44	NUM
cana-3601	227	48	no	no	NOUN
cana-3601	227	49	.	.	PUNCT
cana-3601	228	1	communications	communication	NOUN
cana-3601	228	2	on	on	ADP
cana-3601	228	3	applied	apply	VERB
cana-3601	228	4	nonlinear	nonlinear	ADJ
cana-3601	228	5	analysis	analysis	NOUN
cana-3601	228	6	issn	issn	NOUN
cana-3601	228	7	:	:	PUNCT
cana-3601	228	8	1074	1074	NUM
cana-3601	228	9	-	-	PUNCT
cana-3601	228	10	133x	133x	NUM
cana-3601	228	11	vol	vol	NOUN
cana-3601	228	12	32	32	NUM
cana-3601	228	13	no	no	NOUN
cana-3601	228	14	.	.	PUNCT
cana-3601	229	1	8s	8s	PROPN
cana-3601	229	2	(	(	PUNCT
cana-3601	229	3	2025	2025	NUM
cana-3601	229	4	)	)	PUNCT
cana-3601	229	5	86	86	NUM
cana-3601	229	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3601	229	7	3	3	NUM
cana-3601	229	8	(	(	PUNCT
cana-3601	229	9	2024	2024	NUM
cana-3601	229	10	):	):	PUNCT
cana-3601	229	11	lib	lib	PROPN
cana-3601	229	12	pro	pro	PROPN
cana-3601	229	13	.	.	PROPN
cana-3601	229	14	44(3	44(3	NOUN
cana-3601	229	15	)	)	PUNCT
cana-3601	229	16	,	,	PUNCT
cana-3601	229	17	jul	jul	PROPN
cana-3601	229	18	-	-	PUNCT
cana-3601	229	19	dec	dec	PROPN
cana-3601	229	20	2024	2024	NUM
cana-3601	229	21	(	(	PUNCT
cana-3601	229	22	published	publish	VERB
cana-3601	229	23	:	:	PUNCT
cana-3601	229	24	31	31	NUM
cana-3601	229	25	-	-	SYM
cana-3601	229	26	07	07	NUM
cana-3601	229	27	-	-	PUNCT
cana-3601	229	28	2024	2024	NUM
cana-3601	229	29	)	)	PUNCT
cana-3601	229	30	,	,	PUNCT
cana-3601	229	31	doi	doi	NOUN
cana-3601	229	32	:	:	PUNCT
cana-3601	229	33	https://doi.org/10.48165/bapas.2024.44.2.1	https://doi.org/10.48165/bapas.2024.44.2.1	PRON
cana-3601	229	34	[	[	X
cana-3601	229	35	22	22	NUM
cana-3601	229	36	]	]	X
cana-3601	229	37	shrivastava	shrivastava	PROPN
cana-3601	229	38	,	,	PUNCT
cana-3601	229	39	a.	a.	NOUN
cana-3601	229	40	,	,	PUNCT
cana-3601	229	41	chakkaravarthy	chakkaravarthy	NOUN
cana-3601	229	42	,	,	PUNCT
cana-3601	229	43	m.	m.	NOUN
cana-3601	229	44	,	,	PUNCT
cana-3601	229	45	shah	shah	PROPN
cana-3601	229	46	,	,	PUNCT
cana-3601	229	47	m.a	m.a	PROPN
cana-3601	229	48	..	..	PROPN
cana-3601	229	49	a	a	DET
cana-3601	229	50	novel	novel	ADJ
cana-3601	229	51	approach	approach	NOUN
cana-3601	229	52	using	use	VERB
cana-3601	229	53	learning	learn	VERB
cana-3601	229	54	algorithm	algorithm	NOUN
cana-3601	229	55	for	for	ADP
cana-3601	229	56	parkinson	parkinson	NOUN
cana-3601	229	57	’s	’s	PART
cana-3601	229	58	disease	disease	NOUN
cana-3601	229	59	detection	detection	NOUN
cana-3601	229	60	with	with	ADP
cana-3601	229	61	handwritten	handwritten	ADJ
cana-3601	229	62	sketches	sketch	NOUN
cana-3601	229	63	.	.	PUNCT
cana-3601	230	1	in	in	ADP
cana-3601	230	2	cybernetics	cybernetic	NOUN
cana-3601	230	3	and	and	CCONJ
cana-3601	230	4	systems	system	NOUN
cana-3601	230	5	,	,	PUNCT
cana-3601	230	6	2022	2022	NUM
cana-3601	230	7	[	[	X
cana-3601	230	8	23	23	NUM
cana-3601	230	9	]	]	X
cana-3601	230	10	shrivastava	shrivastava	PROPN
cana-3601	230	11	,	,	PUNCT
cana-3601	230	12	a.	a.	NOUN
cana-3601	230	13	,	,	PUNCT
cana-3601	230	14	chakkaravarthy	chakkaravarthy	NOUN
cana-3601	230	15	,	,	PUNCT
cana-3601	230	16	m.	m.	NOUN
cana-3601	230	17	,	,	PUNCT
cana-3601	230	18	shah	shah	NOUN
cana-3601	230	19	,	,	PUNCT
cana-3601	230	20	m.a	m.a	PROPN
cana-3601	230	21	.	.	PROPN
cana-3601	230	22	,	,	PUNCT
cana-3601	230	23	a	a	DET
cana-3601	230	24	new	new	ADJ
cana-3601	230	25	machine	machine	NOUN
cana-3601	230	26	learning	learning	NOUN
cana-3601	230	27	method	method	NOUN
cana-3601	230	28	for	for	ADP
cana-3601	230	29	predicting	predict	VERB
cana-3601	230	30	systolic	systolic	ADJ
cana-3601	230	31	and	and	CCONJ
cana-3601	230	32	diastolic	diastolic	ADJ
cana-3601	230	33	blood	blood	NOUN
cana-3601	230	34	pressure	pressure	NOUN
cana-3601	230	35	using	use	VERB
cana-3601	230	36	clinical	clinical	ADJ
cana-3601	230	37	characteristics	characteristic	NOUN
cana-3601	230	38	.	.	PUNCT
cana-3601	231	1	in	in	ADP
cana-3601	231	2	healthcare	healthcare	PROPN
cana-3601	231	3	analytics	analytic	NOUN
cana-3601	231	4	,	,	PUNCT
cana-3601	231	5	2023	2023	NUM
cana-3601	231	6	,	,	PUNCT
cana-3601	231	7	4	4	NUM
cana-3601	231	8	,	,	PUNCT
cana-3601	231	9	100219	100219	NUM
cana-3601	231	10	[	[	X
cana-3601	231	11	24	24	NUM
cana-3601	231	12	]	]	SYM
cana-3601	231	13	shrivastava	shrivastava	PROPN
cana-3601	231	14	,	,	PUNCT
cana-3601	231	15	a.	a.	NOUN
cana-3601	231	16	,	,	PUNCT
cana-3601	231	17	chakkaravarthy	chakkaravarthy	NOUN
cana-3601	231	18	,	,	PUNCT
cana-3601	231	19	m.	m.	NOUN
cana-3601	231	20	,	,	PUNCT
cana-3601	231	21	shah	shah	NOUN
cana-3601	231	22	,	,	PUNCT
cana-3601	231	23	m.a	m.a	PROPN
cana-3601	231	24	.	.	PROPN
cana-3601	231	25	,health	,health	PUNCT
cana-3601	231	26	monitoring	monitor	VERB
cana-3601	231	27	based	base	VERB
cana-3601	231	28	cognitive	cognitive	ADJ
cana-3601	231	29	iot	iot	NOUN
cana-3601	231	30	using	use	VERB
cana-3601	231	31	fast	fast	ADJ
cana-3601	231	32	machine	machine	NOUN
cana-3601	231	33	learning	learning	NOUN
cana-3601	231	34	technique	technique	NOUN
cana-3601	231	35	.	.	PUNCT
cana-3601	232	1	in	in	ADP
cana-3601	232	2	international	international	ADJ
cana-3601	232	3	journal	journal	NOUN
cana-3601	232	4	of	of	ADP
cana-3601	232	5	intelligent	intelligent	ADJ
cana-3601	232	6	systems	system	NOUN
cana-3601	232	7	and	and	CCONJ
cana-3601	232	8	applications	application	NOUN
cana-3601	232	9	in	in	ADP
cana-3601	232	10	engineering	engineering	NOUN
cana-3601	232	11	,	,	PUNCT
cana-3601	232	12	2023	2023	NUM
cana-3601	232	13	,	,	PUNCT
cana-3601	232	14	11(6s	11(6s	NUM
cana-3601	232	15	)	)	PUNCT
cana-3601	232	16	,	,	PUNCT
cana-3601	232	17	pp	pp	ADP
cana-3601	232	18	.	.	PUNCT
cana-3601	233	1	720–729	720–729	NUM
cana-3601	233	2	[	[	X
cana-3601	233	3	25	25	NUM
cana-3601	233	4	]	]	X
cana-3601	233	5	shrivastava	shrivastava	PROPN
cana-3601	233	6	,	,	PUNCT
cana-3601	233	7	a.	a.	PROPN
cana-3601	233	8	,	,	PUNCT
cana-3601	233	9	rajput	rajput	PROPN
cana-3601	233	10	,	,	PUNCT
cana-3601	233	11	n.	n.	PROPN
cana-3601	233	12	,	,	PUNCT
cana-3601	233	13	rajesh	rajesh	PROPN
cana-3601	233	14	,	,	PUNCT
cana-3601	233	15	p.	p.	PROPN
cana-3601	233	16	,	,	PUNCT
cana-3601	233	17	swarnalatha	swarnalatha	NOUN
cana-3601	233	18	,	,	PUNCT
cana-3601	233	19	s.r	s.r	PROPN
cana-3601	233	20	.	.	PROPN
cana-3601	233	21	,	,	PUNCT
cana-3601	233	22	iot	iot	NOUN
cana-3601	233	23	-	-	PUNCT
cana-3601	233	24	based	base	VERB
cana-3601	233	25	label	label	NOUN
cana-3601	233	26	distribution	distribution	NOUN
cana-3601	233	27	learning	learning	NOUN
cana-3601	233	28	mechanism	mechanism	NOUN
cana-3601	233	29	for	for	ADP
cana-3601	233	30	autism	autism	NOUN
cana-3601	233	31	spectrum	spectrum	NOUN
cana-3601	233	32	disorder	disorder	NOUN
cana-3601	233	33	for	for	ADP
cana-3601	233	34	healthcare	healthcare	NOUN
cana-3601	233	35	application	application	NOUN
cana-3601	233	36	.	.	PUNCT
cana-3601	234	1	in	in	ADP
cana-3601	234	2	practical	practical	ADJ
cana-3601	234	3	artificial	artificial	ADJ
cana-3601	234	4	intelligence	intelligence	NOUN
cana-3601	234	5	for	for	ADP
cana-3601	234	6	internet	internet	NOUN
cana-3601	234	7	of	of	ADP
cana-3601	234	8	medical	medical	ADJ
cana-3601	234	9	things	thing	NOUN
cana-3601	234	10	:	:	PUNCT
cana-3601	234	11	emerging	emerge	VERB
cana-3601	234	12	trends	trend	NOUN
cana-3601	234	13	,	,	PUNCT
cana-3601	234	14	issues	issue	NOUN
cana-3601	234	15	,	,	PUNCT
cana-3601	234	16	and	and	CCONJ
cana-3601	234	17	challenges	challenge	NOUN
cana-3601	234	18	,	,	PUNCT
cana-3601	234	19	2023	2023	NUM
cana-3601	234	20	,	,	PUNCT
cana-3601	234	21	pp	pp	ADV
cana-3601	234	22	.	.	PUNCT
cana-3601	235	1	305–321	305–321	NUM
cana-3601	235	2	[	[	SYM
cana-3601	235	3	26	26	NUM
cana-3601	235	4	]	]	X
cana-3601	235	5	shrivastava	shrivastava	PROPN
cana-3601	235	6	,	,	PUNCT
cana-3601	235	7	a.	a.	NOUN
cana-3601	235	8	,	,	PUNCT
cana-3601	235	9	pundir	pundir	NOUN
cana-3601	235	10	,	,	PUNCT
cana-3601	235	11	s.	s.	PROPN
cana-3601	235	12	,	,	PUNCT
cana-3601	235	13	sharma	sharma	PROPN
cana-3601	235	14	,	,	PUNCT
cana-3601	235	15	a.	a.	PROPN
cana-3601	235	16	,	,	PUNCT
cana-3601	235	17	...	...	PUNCT
cana-3601	236	1	kumar	kumar	PROPN
cana-3601	236	2	,	,	PUNCT
cana-3601	236	3	r.	r.	PROPN
cana-3601	236	4	,	,	PUNCT
cana-3601	236	5	khan	khan	PROPN
cana-3601	236	6	,	,	PUNCT
cana-3601	236	7	a.k	a.k	PROPN
cana-3601	236	8	.	.	PROPN
cana-3601	236	9	control	control	NOUN
cana-3601	236	10	of	of	ADP
cana-3601	236	11	a	a	DET
cana-3601	236	12	virtual	virtual	ADJ
cana-3601	236	13	system	system	NOUN
cana-3601	236	14	with	with	ADP
cana-3601	236	15	hand	hand	NOUN
cana-3601	236	16	gestures	gesture	NOUN
cana-3601	236	17	.	.	PUNCT
cana-3601	237	1	in	in	ADP
cana-3601	237	2	proceedings	proceeding	NOUN
cana-3601	237	3	2023	2023	NUM
cana-3601	237	4	3rd	3rd	ADJ
cana-3601	237	5	international	international	ADJ
cana-3601	237	6	conference	conference	NOUN
cana-3601	237	7	on	on	ADP
cana-3601	237	8	pervasive	pervasive	ADJ
cana-3601	237	9	computing	computing	NOUN
cana-3601	237	10	and	and	CCONJ
cana-3601	237	11	social	social	ADJ
cana-3601	237	12	networking	networking	NOUN
cana-3601	237	13	,	,	PUNCT
cana-3601	237	14	icpcsn	icpcsn	NOUN
cana-3601	237	15	2023	2023	NUM
cana-3601	237	16	,	,	PUNCT
cana-3601	237	17	2023	2023	NUM
cana-3601	237	18	,	,	PUNCT
cana-3601	237	19	pp	pp	ADJ
cana-3601	237	20	.	.	PUNCT
cana-3601	238	1	1716–1721	1716–1721	NUM
cana-3601	239	1	[	[	X
cana-3601	239	2	27	27	NUM
cana-3601	239	3	]	]	X
cana-3601	239	4	sheela	sheela	PROPN
cana-3601	239	5	hhundekari	hhundekari	PROPN
cana-3601	239	6	,	,	PUNCT
cana-3601	239	7	advances	advance	NOUN
cana-3601	239	8	in	in	ADP
cana-3601	239	9	crowd	crowd	NOUN
cana-3601	239	10	counting	counting	NOUN
cana-3601	239	11	and	and	CCONJ
cana-3601	239	12	density	density	NOUN
cana-3601	239	13	estimation	estimation	NOUN
cana-3601	239	14	using	use	VERB
cana-3601	239	15	convolutional	convolutional	ADJ
cana-3601	239	16	neural	neural	ADJ
cana-3601	239	17	networks	network	NOUN
cana-3601	239	18	,	,	PUNCT
cana-3601	239	19	international	international	ADJ
cana-3601	239	20	journal	journal	NOUN
cana-3601	239	21	of	of	ADP
cana-3601	239	22	intelligent	intelligent	ADJ
cana-3601	239	23	systems	system	NOUN
cana-3601	239	24	and	and	CCONJ
cana-3601	239	25	applications	application	NOUN
cana-3601	239	26	in	in	ADP
cana-3601	239	27	engineering	engineering	NOUN
cana-3601	239	28	,	,	PUNCT
cana-3601	239	29	volume	volume	NOUN
cana-3601	239	30	12	12	NUM
cana-3601	239	31	,	,	PUNCT
cana-3601	239	32	issue	issue	VERB
cana-3601	239	33	no	no	PRON
cana-3601	239	34	.	.	PUNCT
cana-3601	240	1	6s	6s	NUM
cana-3601	240	2	(	(	PUNCT
cana-3601	240	3	2024	2024	NUM
cana-3601	240	4	)	)	PUNCT
cana-3601	240	5	pages	page	NOUN
cana-3601	240	6	707–719	707–719	NUM
cana-3601	240	7	[	[	X
cana-3601	240	8	28	28	NUM
cana-3601	240	9	]	]	X
cana-3601	240	10	rais	rais	PROPN
cana-3601	240	11	allauddin	allauddin	VERB
cana-3601	240	12	mulla	mulla	NOUN
cana-3601	240	13	,	,	PUNCT
cana-3601	240	14	mahendra	mahendra	PROPN
cana-3601	240	15	eknath	eknath	PROPN
cana-3601	240	16	pawar	pawar	PROPN
cana-3601	240	17	,	,	PUNCT
cana-3601	240	18	dr	dr	PROPN
cana-3601	240	19	.	.	PROPN
cana-3601	240	20	satish	satish	PROPN
cana-3601	240	21	s.	s.	PROPN
cana-3601	240	22	banait	banait	PROPN
cana-3601	240	23	,	,	PUNCT
cana-3601	240	24	dr	dr	PROPN
cana-3601	240	25	.	.	PROPN
cana-3601	240	26	samir	samir	PROPN
cana-3601	240	27	n.	n.	PROPN
cana-3601	240	28	ajani	ajani	PROPN
cana-3601	240	29	,	,	PUNCT
cana-3601	240	30	madhuri	madhuri	PROPN
cana-3601	240	31	pravin	pravin	PROPN
cana-3601	240	32	borawake	borawake	PROPN
cana-3601	240	33	,	,	PUNCT
cana-3601	240	34	dr	dr	PROPN
cana-3601	240	35	.	.	PROPN
cana-3601	240	36	sheela	sheela	PROPN
cana-3601	240	37	hundekari	hundekari	PROPN
cana-3601	240	38	,	,	PUNCT
cana-3601	240	39	design	design	NOUN
cana-3601	240	40	and	and	CCONJ
cana-3601	240	41	implementation	implementation	NOUN
cana-3601	240	42	of	of	ADP
cana-3601	240	43	deep	deep	ADJ
cana-3601	240	44	learning	learning	NOUN
cana-3601	240	45	method	method	NOUN
cana-3601	240	46	for	for	ADP
cana-3601	240	47	disease	disease	NOUN
cana-3601	240	48	identification	identification	NOUN
cana-3601	240	49	in	in	ADP
cana-3601	240	50	plant	plant	NOUN
cana-3601	240	51	leaf	leaf	NOUN
cana-3601	240	52	,	,	PUNCT
cana-3601	240	53	international	international	ADJ
cana-3601	240	54	journal	journal	NOUN
cana-3601	240	55	on	on	ADP
cana-3601	240	56	recent	recent	ADJ
cana-3601	240	57	and	and	CCONJ
cana-3601	240	58	innovation	innovation	NOUN
cana-3601	240	59	trends	trend	NOUN
cana-3601	240	60	in	in	ADP
cana-3601	240	61	computing	computing	NOUN
cana-3601	240	62	and	and	CCONJ
cana-3601	240	63	communication	communication	NOUN
cana-3601	240	64	issn	issn	NOUN
cana-3601	240	65	:	:	PUNCT
cana-3601	240	66	2321	2321	NUM
cana-3601	240	67	-	-	SYM
cana-3601	240	68	8169	8169	NUM
cana-3601	240	69	volume	volume	NOUN
cana-3601	240	70	:	:	PUNCT
cana-3601	240	71	11	11	NUM
cana-3601	240	72	issue	issue	NOUN
cana-3601	240	73	:	:	PUNCT
cana-3601	240	74	2s	2s	NUM
cana-3601	240	75	[	[	X
cana-3601	240	76	29	29	NUM
cana-3601	240	77	]	]	X
cana-3601	240	78	kamal	kamal	PROPN
cana-3601	240	79	upreti	upreti	PROPN
cana-3601	240	80	,	,	PUNCT
cana-3601	240	81	prashant	prashant	ADJ
cana-3601	240	82	vats	vat	NOUN
cana-3601	240	83	,	,	PUNCT
cana-3601	240	84	gauri	gauri	PROPN
cana-3601	240	85	borkhade	borkhade	NOUN
cana-3601	240	86	,	,	PUNCT
cana-3601	240	87	ranjana	ranjana	PROPN
cana-3601	240	88	dinkar	dinkar	PROPN
cana-3601	240	89	raut	raut	PROPN
cana-3601	240	90	,	,	PUNCT
cana-3601	240	91	sheela	sheela	PROPN
cana-3601	240	92	hundekari	hundekari	PROPN
cana-3601	240	93	,	,	PUNCT
cana-3601	240	94	jyoti	jyoti	PROPN
cana-3601	240	95	parashar	parashar	PROPN
cana-3601	240	96	,	,	PUNCT
cana-3601	240	97	an	an	DET
cana-3601	240	98	ioht	ioht	ADJ
cana-3601	240	99	system	system	NOUN
cana-3601	240	100	utilizing	utilize	VERB
cana-3601	240	101	smart	smart	ADJ
cana-3601	240	102	contracts	contract	NOUN
cana-3601	240	103	for	for	ADP
cana-3601	240	104	machine	machine	NOUN
cana-3601	240	105	learning	learn	VERB
cana-3601	240	106	-based	-based	ADJ
cana-3601	240	107	authentication	authentication	NOUN
cana-3601	240	108	,	,	PUNCT
cana-3601	240	109	2023	2023	NUM
cana-3601	240	110	international	international	ADJ
cana-3601	240	111	conference	conference	NOUN
cana-3601	240	112	on	on	ADP
cana-3601	240	113	emerging	emerge	VERB
cana-3601	240	114	trends	trend	NOUN
cana-3601	240	115	in	in	ADP
cana-3601	240	116	networks	network	NOUN
cana-3601	240	117	and	and	CCONJ
cana-3601	240	118	computer	computer	NOUN
cana-3601	240	119	communications	communication	NOUN
cana-3601	240	120	(	(	PUNCT
cana-3601	240	121	etncc	etncc	NOUN
cana-3601	240	122	)	)	PUNCT
cana-3601	240	123	,	,	PUNCT
cana-3601	240	124	10.1109	10.1109	NUM
cana-3601	240	125	/	/	SYM
cana-3601	240	126	etncc59188.2023.10284960	etncc59188.2023.10284960	PROPN
cana-3601	241	1	[	[	X
cana-3601	241	2	30	30	NUM
cana-3601	241	3	]	]	X
cana-3601	241	4	s	s	PART
cana-3601	241	5	gupta	gupta	PROPN
cana-3601	241	6	,	,	PUNCT
cana-3601	241	7	n	n	PRON
cana-3601	241	8	singhal	singhal	NOUN
cana-3601	241	9	,	,	PUNCT
cana-3601	241	10	s	s	PART
cana-3601	241	11	hundekari	hundekari	NOUN
cana-3601	241	12	,	,	PUNCT
cana-3601	241	13	k	k	PROPN
cana-3601	241	14	upreti	upreti	PROPN
cana-3601	241	15	,	,	PUNCT
cana-3601	241	16	a	a	DET
cana-3601	241	17	gautam	gautam	PROPN
cana-3601	241	18	,	,	PUNCT
cana-3601	241	19	p	p	PROPN
cana-3601	241	20	kumar	kumar	PROPN
cana-3601	241	21	,	,	PUNCT
cana-3601	241	22	r	r	PROPN
cana-3601	241	23	verma	verma	PROPN
cana-3601	241	24	,	,	PUNCT
cana-3601	241	25	aspect	aspect	NOUN
cana-3601	241	26	based	base	VERB
cana-3601	241	27	feature	feature	NOUN
cana-3601	241	28	extraction	extraction	NOUN
cana-3601	241	29	in	in	ADP
cana-3601	241	30	sentiment	sentiment	NOUN
cana-3601	241	31	analysis	analysis	NOUN
cana-3601	241	32	using	use	VERB
cana-3601	241	33	bi	bi	PROPN
cana-3601	241	34	-	-	PROPN
cana-3601	241	35	gru	gru	NOUN
cana-3601	241	36	-	-	ADJ
cana-3601	241	37	lstm	lstm	ADJ
cana-3601	241	38	model	model	NOUN
cana-3601	241	39	,	,	PUNCT
cana-3601	241	40	journal	journal	NOUN
cana-3601	241	41	of	of	ADP
cana-3601	241	42	mobile	mobile	ADJ
cana-3601	241	43	multimedia	multimedia	NOUN
cana-3601	241	44	,	,	PUNCT
cana-3601	241	45	935	935	NUM
cana-3601	241	46	-	-	SYM
cana-3601	241	47	960	960	NUM
cana-3601	242	1	[	[	X
cana-3601	242	2	31	31	NUM
cana-3601	242	3	]	]	PUNCT
cana-3601	242	4	pr	pr	NOUN
cana-3601	242	5	kshirsagar	kshirsagar	NOUN
cana-3601	242	6	,	,	PUNCT
cana-3601	242	7	k	k	PROPN
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cana-3601	242	11	kushwah	kushwah	PROPN
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cana-3601	242	29	concrete	concrete	NOUN
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cana-3601	242	97	]	]	X
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