id	sid	tid	token	lemma	pos
cana-1282	1	1	communications	communication	NOUN
cana-1282	1	2	on	on	ADP
cana-1282	1	3	applied	apply	VERB
cana-1282	1	4	nonlinear	nonlinear	ADJ
cana-1282	1	5	analysis	analysis	NOUN
cana-1282	1	6	issn	issn	NOUN
cana-1282	1	7	:	:	PUNCT
cana-1282	1	8	1074	1074	NUM
cana-1282	1	9	-	-	PUNCT
cana-1282	1	10	133x	133x	NUM
cana-1282	1	11	vol	vol	NOUN
cana-1282	1	12	31	31	NUM
cana-1282	1	13	no	no	NOUN
cana-1282	1	14	.	.	PUNCT
cana-1282	2	1	7s	7	NOUN
cana-1282	2	2	(	(	PUNCT
cana-1282	2	3	2024	2024	NUM
cana-1282	2	4	)	)	PUNCT
cana-1282	2	5	38	38	NUM
cana-1282	2	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1282	2	7	advanced	advanced	ADJ
cana-1282	2	8	statistical	statistical	ADJ
cana-1282	2	9	and	and	CCONJ
cana-1282	2	10	nonlinear	nonlinear	ADJ
cana-1282	2	11	analysis	analysis	NOUN
cana-1282	2	12	techniques	technique	NOUN
cana-1282	2	13	for	for	ADP
cana-1282	2	14	deep	deep	ADJ
cana-1282	2	15	learning	learning	NOUN
cana-1282	2	16	in	in	ADP
cana-1282	2	17	mba	mba	PROPN
cana-1282	2	18	education	education	NOUN
cana-1282	2	19	s.	s.	PROPN
cana-1282	2	20	cynthiya	cynthiya	PROPN
cana-1282	2	21	margaret	margaret	PROPN
cana-1282	2	22	indrani1	indrani1	PROPN
cana-1282	2	23	,	,	PUNCT
cana-1282	2	24	sangeetha	sangeetha	PROPN
cana-1282	2	25	murugan2	murugan2	PROPN
cana-1282	2	26	,	,	PUNCT
cana-1282	2	27	dr	dr	PROPN
cana-1282	2	28	p	p	PROPN
cana-1282	2	29	hema3	hema3	PROPN
cana-1282	2	30	,	,	PUNCT
cana-1282	2	31	p	p	NOUN
cana-1282	2	32	prabhakaran4	prabhakaran4	NOUN
cana-1282	2	33	,	,	PUNCT
cana-1282	2	34	anil	anil	PROPN
cana-1282	2	35	kumar	kumar	PROPN
cana-1282	2	36	lamba5	lamba5	PROPN
cana-1282	2	37	,	,	PUNCT
cana-1282	2	38	g	g	PROPN
cana-1282	2	39	sabarinathan6	sabarinathan6	PROPN
cana-1282	2	40	1assistant	1assistant	NUM
cana-1282	2	41	professor	professor	NOUN
cana-1282	2	42	,	,	PUNCT
cana-1282	2	43	department	department	NOUN
cana-1282	2	44	of	of	ADP
cana-1282	2	45	mathematics	mathematic	NOUN
cana-1282	2	46	,	,	PUNCT
cana-1282	2	47	sathyabama	sathyabama	PROPN
cana-1282	2	48	institute	institute	PROPN
cana-1282	2	49	of	of	ADP
cana-1282	2	50	science	science	NOUN
cana-1282	2	51	and	and	CCONJ
cana-1282	2	52	technology	technology	NOUN
cana-1282	2	53	,	,	PUNCT
cana-1282	2	54	chennai	chennai	PROPN
cana-1282	2	55	,	,	PUNCT
cana-1282	2	56	tamilnadu	tamilnadu	NOUN
cana-1282	2	57	,	,	PUNCT
cana-1282	2	58	india	india	PROPN
cana-1282	2	59	.	.	PUNCT
cana-1282	2	60	cmindrani2000@yahoo.com	cmindrani2000@yahoo.com	X
cana-1282	3	1	2department	2department	NUM
cana-1282	3	2	of	of	ADP
cana-1282	3	3	computer	computer	NOUN
cana-1282	3	4	science	science	PROPN
cana-1282	3	5	&	&	CCONJ
cana-1282	3	6	engineering	engineering	PROPN
cana-1282	3	7	,	,	PUNCT
cana-1282	3	8	madanapalle	madanapalle	PROPN
cana-1282	3	9	institute	institute	PROPN
cana-1282	3	10	of	of	ADP
cana-1282	3	11	technology	technology	PROPN
cana-1282	3	12	&	&	CCONJ
cana-1282	3	13	science	science	PROPN
cana-1282	3	14	,	,	PUNCT
cana-1282	3	15	madanapalle	madanapalle	PROPN
cana-1282	3	16	,	,	PUNCT
cana-1282	3	17	andhra	andhra	PROPN
cana-1282	3	18	pradesh	pradesh	PROPN
cana-1282	3	19	,	,	PUNCT
cana-1282	3	20	india	india	PROPN
cana-1282	3	21	.	.	PUNCT
cana-1282	3	22	sangee525@gmail.com	sangee525@gmail.com	X
cana-1282	4	1	3associate	3associate	NUM
cana-1282	4	2	professor	professor	NOUN
cana-1282	4	3	,	,	PUNCT
cana-1282	4	4	department	department	NOUN
cana-1282	4	5	of	of	ADP
cana-1282	4	6	mathematics	mathematics	PROPN
cana-1282	4	7	,	,	PUNCT
cana-1282	4	8	r.m.k	r.m.k	NOUN
cana-1282	4	9	.	.	PUNCT
cana-1282	4	10	college	college	NOUN
cana-1282	4	11	of	of	ADP
cana-1282	4	12	engineering	engineering	NOUN
cana-1282	4	13	and	and	CCONJ
cana-1282	4	14	technology	technology	NOUN
cana-1282	4	15	,	,	PUNCT
cana-1282	4	16	r.s.m	r.s.m	PROPN
cana-1282	4	17	.	.	PROPN
cana-1282	4	18	nagar	nagar	PROPN
cana-1282	4	19	,	,	PUNCT
cana-1282	4	20	puduvoyal	puduvoyal	ADJ
cana-1282	4	21	,	,	PUNCT
cana-1282	4	22	thiruvallur	thiruvallur	NOUN
cana-1282	4	23	,	,	PUNCT
cana-1282	4	24	india	india	PROPN
cana-1282	4	25	.	.	PUNCT
cana-1282	4	26	hema.p@rmkcet.ac.in	hema.p@rmkcet.ac.in	PROPN
cana-1282	5	1	4assistant	4assistant	NUM
cana-1282	5	2	professor	professor	NOUN
cana-1282	5	3	,	,	PUNCT
cana-1282	5	4	department	department	NOUN
cana-1282	5	5	of	of	ADP
cana-1282	5	6	information	information	NOUN
cana-1282	5	7	technology	technology	NOUN
cana-1282	5	8	,	,	PUNCT
cana-1282	5	9	psg	psg	PROPN
cana-1282	5	10	college	college	PROPN
cana-1282	5	11	of	of	ADP
cana-1282	5	12	arts	arts	PROPN
cana-1282	5	13	&	&	CCONJ
cana-1282	5	14	science	science	PROPN
cana-1282	5	15	,	,	PUNCT
cana-1282	5	16	(	(	PUNCT
cana-1282	5	17	affiliated	affiliate	VERB
cana-1282	5	18	to	to	ADP
cana-1282	5	19	bharathiar	bharathiar	PROPN
cana-1282	5	20	university	university	PROPN
cana-1282	5	21	)	)	PUNCT
cana-1282	5	22	,	,	PUNCT
cana-1282	5	23	coimbatore	coimbatore	PROPN
cana-1282	5	24	,	,	PUNCT
cana-1282	5	25	tamil	tamil	PROPN
cana-1282	5	26	nadu	nadu	PROPN
cana-1282	5	27	,	,	PUNCT
cana-1282	5	28	india	india	PROPN
cana-1282	5	29	.	.	PUNCT
cana-1282	6	1	prabhakaranpsgcas@gmail.com	prabhakaranpsgcas@gmail.com	X
cana-1282	7	1	5professor	5professor	NUM
cana-1282	7	2	and	and	CCONJ
cana-1282	7	3	head	head	NOUN
cana-1282	7	4	,	,	PUNCT
cana-1282	7	5	school	school	NOUN
cana-1282	7	6	of	of	ADP
cana-1282	7	7	computer	computer	NOUN
cana-1282	7	8	science	science	NOUN
cana-1282	7	9	and	and	CCONJ
cana-1282	7	10	engineering	engineering	NOUN
cana-1282	7	11	,	,	PUNCT
cana-1282	7	12	geeta	geeta	PROPN
cana-1282	7	13	university	university	PROPN
cana-1282	7	14	,	,	PUNCT
cana-1282	7	15	delhi	delhi	PROPN
cana-1282	7	16	ncr	ncr	PROPN
cana-1282	7	17	,	,	PUNCT
cana-1282	7	18	panipat	panipat	PROPN
cana-1282	7	19	,	,	PUNCT
cana-1282	7	20	india	india	PROPN
cana-1282	7	21	.	.	PUNCT
cana-1282	8	1	anil.lambain@gmail.com	anil.lambain@gmail.com	X
cana-1282	9	1	6associate	6associate	NUM
cana-1282	9	2	professor	professor	NOUN
cana-1282	9	3	,	,	PUNCT
cana-1282	9	4	department	department	NOUN
cana-1282	9	5	of	of	ADP
cana-1282	9	6	mathematics	mathematics	PROPN
cana-1282	9	7	,	,	PUNCT
cana-1282	9	8	psna	psna	PROPN
cana-1282	9	9	college	college	PROPN
cana-1282	9	10	of	of	ADP
cana-1282	9	11	engineering	engineering	NOUN
cana-1282	9	12	and	and	CCONJ
cana-1282	9	13	technology	technology	NOUN
cana-1282	9	14	(	(	PUNCT
cana-1282	9	15	autonomous	autonomous	ADJ
cana-1282	9	16	)	)	PUNCT
cana-1282	9	17	,	,	PUNCT
cana-1282	9	18	dindigul	dindigul	ADJ
cana-1282	9	19	,	,	PUNCT
cana-1282	9	20	tamilnadu	tamilnadu	NOUN
cana-1282	9	21	,	,	PUNCT
cana-1282	9	22	india	india	PROPN
cana-1282	9	23	.	.	PUNCT
cana-1282	10	1	sabarinathan.g@gmail.com	sabarinathan.g@gmail.com	X
cana-1282	10	2	article	article	PROPN
cana-1282	10	3	history	history	NOUN
cana-1282	10	4	:	:	PUNCT
cana-1282	10	5	received	receive	VERB
cana-1282	10	6	:	:	PUNCT
cana-1282	10	7	01	01	NUM
cana-1282	10	8	-	-	PUNCT
cana-1282	10	9	06	06	NUM
cana-1282	10	10	-	-	PUNCT
cana-1282	10	11	2024	2024	NUM
cana-1282	10	12	revised	revise	VERB
cana-1282	10	13	:	:	PUNCT
cana-1282	10	14	03	03	NUM
cana-1282	10	15	-	-	PUNCT
cana-1282	10	16	07	07	NUM
cana-1282	10	17	-	-	PUNCT
cana-1282	10	18	2024	2024	NUM
cana-1282	10	19	accepted	accept	VERB
cana-1282	10	20	:	:	PUNCT
cana-1282	10	21	29	29	NUM
cana-1282	10	22	-	-	SYM
cana-1282	10	23	07	07	NUM
cana-1282	10	24	-	-	PUNCT
cana-1282	10	25	2024	2024	NUM
cana-1282	10	26	abstract	abstract	NOUN
cana-1282	10	27	:	:	PUNCT
cana-1282	10	28	integration	integration	NOUN
cana-1282	10	29	of	of	ADP
cana-1282	10	30	sophisticated	sophisticated	ADJ
cana-1282	10	31	statistical	statistical	ADJ
cana-1282	10	32	and	and	CCONJ
cana-1282	10	33	nonlinear	nonlinear	ADJ
cana-1282	10	34	analysis	analysis	NOUN
cana-1282	10	35	techniques	technique	NOUN
cana-1282	10	36	by	by	ADP
cana-1282	10	37	deep	deep	ADJ
cana-1282	10	38	learning	learning	NOUN
cana-1282	10	39	has	have	AUX
cana-1282	10	40	become	become	VERB
cana-1282	10	41	a	a	DET
cana-1282	10	42	main	main	ADJ
cana-1282	10	43	strategy	strategy	NOUN
cana-1282	10	44	for	for	ADP
cana-1282	10	45	enhancing	enhance	VERB
cana-1282	10	46	mba	mba	NOUN
cana-1282	10	47	program	program	NOUN
cana-1282	10	48	educational	educational	ADJ
cana-1282	10	49	outcomes	outcome	NOUN
cana-1282	10	50	.	.	PUNCT
cana-1282	11	1	our	our	PRON
cana-1282	11	2	work	work	NOUN
cana-1282	11	3	provides	provide	VERB
cana-1282	11	4	the	the	DET
cana-1282	11	5	dran	dran	NOUN
cana-1282	11	6	,	,	PUNCT
cana-1282	11	7	which	which	PRON
cana-1282	11	8	combines	combine	VERB
cana-1282	11	9	residual	residual	ADJ
cana-1282	11	10	learning	learning	NOUN
cana-1282	11	11	with	with	ADP
cana-1282	11	12	attention	attention	NOUN
cana-1282	11	13	processes	process	NOUN
cana-1282	11	14	,	,	PUNCT
cana-1282	11	15	thereby	thereby	ADV
cana-1282	11	16	focusing	focus	VERB
cana-1282	11	17	on	on	ADP
cana-1282	11	18	the	the	DET
cana-1282	11	19	most	most	ADV
cana-1282	11	20	relevant	relevant	ADJ
cana-1282	11	21	aspects	aspect	NOUN
cana-1282	11	22	of	of	ADP
cana-1282	11	23	educational	educational	ADJ
cana-1282	11	24	datasets	dataset	NOUN
cana-1282	11	25	.	.	PUNCT
cana-1282	12	1	nonlinear	nonlinear	ADJ
cana-1282	12	2	regression	regression	NOUN
cana-1282	12	3	and	and	CCONJ
cana-1282	12	4	clustering	clustering	NOUN
cana-1282	12	5	are	be	AUX
cana-1282	12	6	among	among	ADP
cana-1282	12	7	advanced	advanced	ADJ
cana-1282	12	8	statistical	statistical	ADJ
cana-1282	12	9	techniques	technique	NOUN
cana-1282	12	10	that	that	PRON
cana-1282	12	11	assist	assist	VERB
cana-1282	12	12	the	the	DET
cana-1282	12	13	dran	dran	ADJ
cana-1282	12	14	model	model	NOUN
cana-1282	12	15	to	to	PART
cana-1282	12	16	effectively	effectively	ADV
cana-1282	12	17	capture	capture	VERB
cana-1282	12	18	complex	complex	ADJ
cana-1282	12	19	relationships	relationship	NOUN
cana-1282	12	20	in	in	ADP
cana-1282	12	21	the	the	DET
cana-1282	12	22	data	datum	NOUN
cana-1282	12	23	,	,	PUNCT
cana-1282	12	24	hence	hence	ADV
cana-1282	12	25	improving	improve	VERB
cana-1282	12	26	knowledge	knowledge	NOUN
cana-1282	12	27	of	of	ADP
cana-1282	12	28	student	student	NOUN
cana-1282	12	29	behavior	behavior	NOUN
cana-1282	12	30	and	and	CCONJ
cana-1282	12	31	performance	performance	NOUN
cana-1282	12	32	.	.	PUNCT
cana-1282	13	1	the	the	DET
cana-1282	13	2	approach	approach	NOUN
cana-1282	13	3	trains	train	VERB
cana-1282	13	4	the	the	DET
cana-1282	13	5	dran	dran	PROPN
cana-1282	13	6	model	model	NOUN
cana-1282	13	7	to	to	PART
cana-1282	13	8	estimate	estimate	VERB
cana-1282	13	9	academic	academic	ADJ
cana-1282	13	10	achievements	achievement	NOUN
cana-1282	13	11	and	and	CCONJ
cana-1282	13	12	offer	offer	VERB
cana-1282	13	13	tailored	tailored	ADJ
cana-1282	13	14	learning	learning	NOUN
cana-1282	13	15	interventions	intervention	NOUN
cana-1282	13	16	after	after	ADP
cana-1282	13	17	preprocessing	preprocesse	VERB
cana-1282	13	18	of	of	ADP
cana-1282	13	19	student	student	NOUN
cana-1282	13	20	data	datum	NOUN
cana-1282	13	21	including	include	VERB
cana-1282	13	22	grades	grade	NOUN
cana-1282	13	23	,	,	PUNCT
cana-1282	13	24	attendance	attendance	NOUN
cana-1282	13	25	,	,	PUNCT
cana-1282	13	26	and	and	CCONJ
cana-1282	13	27	engagement	engagement	NOUN
cana-1282	13	28	measurements	measurement	NOUN
cana-1282	13	29	.	.	PUNCT
cana-1282	14	1	the	the	DET
cana-1282	14	2	dran	dran	PROPN
cana-1282	14	3	model	model	NOUN
cana-1282	14	4	outperforms	outperform	VERB
cana-1282	14	5	traditional	traditional	ADJ
cana-1282	14	6	machine	machine	NOUN
cana-1282	14	7	learning	learning	NOUN
cana-1282	14	8	methods	method	NOUN
cana-1282	14	9	with	with	ADP
cana-1282	14	10	an	an	DET
cana-1282	14	11	accuracy	accuracy	NOUN
cana-1282	14	12	of	of	ADP
cana-1282	14	13	92.7	92.7	NUM
cana-1282	14	14	%	%	NOUN
cana-1282	14	15	in	in	ADP
cana-1282	14	16	assessing	assess	VERB
cana-1282	14	17	student	student	NOUN
cana-1282	14	18	performance	performance	NOUN
cana-1282	14	19	and	and	CCONJ
cana-1282	14	20	an	an	DET
cana-1282	14	21	improvement	improvement	NOUN
cana-1282	14	22	of	of	ADP
cana-1282	14	23	15	15	NUM
cana-1282	14	24	%	%	NOUN
cana-1282	14	25	in	in	ADP
cana-1282	14	26	the	the	DET
cana-1282	14	27	precision	precision	NOUN
cana-1282	14	28	of	of	ADP
cana-1282	14	29	tailored	tailor	VERB
cana-1282	14	30	learning	learning	NOUN
cana-1282	14	31	recommendations	recommendation	NOUN
cana-1282	14	32	.	.	PUNCT
cana-1282	15	1	these	these	DET
cana-1282	15	2	findings	finding	NOUN
cana-1282	15	3	show	show	VERB
cana-1282	15	4	how	how	SCONJ
cana-1282	15	5	deep	deep	ADJ
cana-1282	15	6	learning	learning	NOUN
cana-1282	15	7	might	might	AUX
cana-1282	15	8	transform	transform	VERB
cana-1282	15	9	mba	mba	NOUN
cana-1282	15	10	education	education	NOUN
cana-1282	15	11	by	by	ADP
cana-1282	15	12	arming	arm	VERB
cana-1282	15	13	educators	educator	NOUN
cana-1282	15	14	with	with	ADP
cana-1282	15	15	useful	useful	ADJ
cana-1282	15	16	insights	insight	NOUN
cana-1282	15	17	that	that	PRON
cana-1282	15	18	drive	drive	VERB
cana-1282	15	19	student	student	NOUN
cana-1282	15	20	success	success	NOUN
cana-1282	15	21	.	.	PUNCT
cana-1282	16	1	together	together	ADV
cana-1282	16	2	,	,	PUNCT
cana-1282	16	3	deep	deep	ADJ
cana-1282	16	4	residual	residual	ADJ
cana-1282	16	5	learning	learning	NOUN
cana-1282	16	6	and	and	CCONJ
cana-1282	16	7	nonlinear	nonlinear	ADJ
cana-1282	16	8	dynamics	dynamic	NOUN
cana-1282	16	9	increase	increase	VERB
cana-1282	16	10	forecast	forecast	NOUN
cana-1282	16	11	accuracy	accuracy	NOUN
cana-1282	16	12	and	and	CCONJ
cana-1282	16	13	enable	enable	VERB
cana-1282	16	14	flexible	flexible	ADJ
cana-1282	16	15	learning	learning	NOUN
cana-1282	16	16	environments	environment	NOUN
cana-1282	16	17	fit	fit	ADJ
cana-1282	16	18	for	for	ADP
cana-1282	16	19	particular	particular	ADJ
cana-1282	16	20	requirements	requirement	NOUN
cana-1282	16	21	.	.	PUNCT
cana-1282	17	1	this	this	DET
cana-1282	17	2	research	research	NOUN
cana-1282	17	3	contributes	contribute	VERB
cana-1282	17	4	to	to	ADP
cana-1282	17	5	the	the	DET
cana-1282	17	6	growing	grow	VERB
cana-1282	17	7	corpus	corpus	NOUN
cana-1282	17	8	of	of	ADP
cana-1282	17	9	information	information	NOUN
cana-1282	17	10	on	on	ADP
cana-1282	17	11	the	the	DET
cana-1282	17	12	application	application	NOUN
cana-1282	17	13	of	of	ADP
cana-1282	17	14	artificial	artificial	ADJ
cana-1282	17	15	intelligence	intelligence	NOUN
cana-1282	17	16	in	in	ADP
cana-1282	17	17	education	education	NOUN
cana-1282	17	18	and	and	CCONJ
cana-1282	17	19	paves	pave	VERB
cana-1282	17	20	the	the	DET
cana-1282	17	21	basis	basis	NOUN
cana-1282	17	22	for	for	ADP
cana-1282	17	23	next	next	ADJ
cana-1282	17	24	breakthroughs	breakthrough	NOUN
cana-1282	17	25	in	in	ADP
cana-1282	17	26	individualized	individualized	ADJ
cana-1282	17	27	learning	learning	NOUN
cana-1282	17	28	systems	system	NOUN
cana-1282	17	29	.	.	PUNCT
cana-1282	18	1	keywords	keyword	NOUN
cana-1282	18	2	:	:	PUNCT
cana-1282	18	3	deep	deep	ADJ
cana-1282	18	4	residual	residual	ADJ
cana-1282	18	5	attention	attention	NOUN
cana-1282	18	6	network	network	NOUN
cana-1282	18	7	,	,	PUNCT
cana-1282	18	8	mba	mba	NOUN
cana-1282	18	9	education	education	NOUN
cana-1282	18	10	,	,	PUNCT
cana-1282	18	11	nonlinear	nonlinear	ADJ
cana-1282	18	12	analysis	analysis	NOUN
cana-1282	18	13	,	,	PUNCT
cana-1282	18	14	personalized	personalized	ADJ
cana-1282	18	15	learning	learning	NOUN
cana-1282	18	16	,	,	PUNCT
cana-1282	18	17	predictive	predictive	ADJ
cana-1282	18	18	modeling	modeling	NOUN
cana-1282	18	19	.	.	PUNCT
cana-1282	19	1	1	1	X
cana-1282	19	2	.	.	X
cana-1282	19	3	introduction	introduction	NOUN
cana-1282	19	4	using	use	VERB
cana-1282	19	5	innovative	innovative	ADJ
cana-1282	19	6	technologies	technology	NOUN
cana-1282	19	7	to	to	PART
cana-1282	19	8	enhance	enhance	VERB
cana-1282	19	9	learning	learn	VERB
cana-1282	19	10	results	result	NOUN
cana-1282	19	11	has	have	AUX
cana-1282	19	12	become	become	VERB
cana-1282	19	13	ever	ever	ADV
cana-1282	19	14	more	more	ADV
cana-1282	19	15	important	important	ADJ
cana-1282	19	16	in	in	ADP
cana-1282	19	17	the	the	DET
cana-1282	19	18	sphere	sphere	NOUN
cana-1282	19	19	of	of	ADP
cana-1282	19	20	modern	modern	ADJ
cana-1282	19	21	education	education	NOUN
cana-1282	19	22	,	,	PUNCT
cana-1282	19	23	particularly	particularly	ADV
cana-1282	19	24	in	in	ADP
cana-1282	19	25	mba	mba	NOUN
cana-1282	19	26	courses	course	NOUN
cana-1282	19	27	.	.	PUNCT
cana-1282	20	1	the	the	DET
cana-1282	20	2	rapid	rapid	ADJ
cana-1282	20	3	growth	growth	NOUN
cana-1282	20	4	of	of	ADP
cana-1282	20	5	artificial	artificial	ADJ
cana-1282	20	6	intelligence	intelligence	NOUN
cana-1282	20	7	(	(	PUNCT
cana-1282	20	8	ai	ai	NOUN
cana-1282	20	9	)	)	PUNCT
cana-1282	20	10	and	and	CCONJ
cana-1282	20	11	machine	machine	NOUN
cana-1282	20	12	learning	learning	NOUN
cana-1282	20	13	(	(	PUNCT
cana-1282	20	14	ml	ml	NOUN
cana-1282	20	15	)	)	PUNCT
cana-1282	20	16	has	have	AUX
cana-1282	20	17	opened	open	VERB
cana-1282	20	18	new	new	ADJ
cana-1282	20	19	avenues	avenue	NOUN
cana-1282	20	20	for	for	ADP
cana-1282	20	21	designing	design	VERB
cana-1282	20	22	customized	customized	ADJ
cana-1282	20	23	learning	learn	VERB
cana-1282	20	24	environments	environment	NOUN
cana-1282	20	25	that	that	PRON
cana-1282	20	26	might	might	AUX
cana-1282	20	27	satisfy	satisfy	VERB
cana-1282	20	28	a	a	DET
cana-1282	20	29	range	range	NOUN
cana-1282	20	30	of	of	ADP
cana-1282	20	31	needs	need	NOUN
cana-1282	20	32	of	of	ADP
cana-1282	20	33	students	student	NOUN
cana-1282	20	34	.	.	PUNCT
cana-1282	21	1	among	among	ADP
cana-1282	21	2	these	these	DET
cana-1282	21	3	technologies	technology	NOUN
cana-1282	21	4	,	,	PUNCT
cana-1282	21	5	deep	deep	ADJ
cana-1282	21	6	learning	learn	VERB
cana-1282	21	7	mailto:cmindrani2000@yahoo.com	mailto:cmindrani2000@yahoo.com	PROPN
cana-1282	21	8	mailto:sangee525@gmail.com	mailto:sangee525@gmail.com	PROPN
cana-1282	21	9	mailto:prabhakaranpsgcas@gmail.com	mailto:prabhakaranpsgcas@gmail.com	PROPN
cana-1282	21	10	mailto:anil.lambain@gmail.com	mailto:anil.lambain@gmail.com	X
cana-1282	22	1	mailto:sabarinathan.g@gmail.com	mailto:sabarinathan.g@gmail.com	X
cana-1282	23	1	communications	communication	NOUN
cana-1282	23	2	on	on	ADP
cana-1282	23	3	applied	apply	VERB
cana-1282	23	4	nonlinear	nonlinear	ADJ
cana-1282	23	5	analysis	analysis	NOUN
cana-1282	23	6	issn	issn	NOUN
cana-1282	23	7	:	:	PUNCT
cana-1282	23	8	1074	1074	NUM
cana-1282	23	9	-	-	PUNCT
cana-1282	23	10	133x	133x	NUM
cana-1282	23	11	vol	vol	NOUN
cana-1282	23	12	31	31	NUM
cana-1282	23	13	no	no	NOUN
cana-1282	23	14	.	.	PUNCT
cana-1282	24	1	7s	7	NOUN
cana-1282	24	2	(	(	PUNCT
cana-1282	24	3	2024	2024	NUM
cana-1282	24	4	)	)	PUNCT
cana-1282	24	5	39	39	NUM
cana-1282	24	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1282	24	7	has	have	AUX
cana-1282	24	8	become	become	VERB
cana-1282	24	9	a	a	DET
cana-1282	24	10	powerful	powerful	ADJ
cana-1282	24	11	tool	tool	NOUN
cana-1282	24	12	able	able	ADJ
cana-1282	24	13	to	to	PART
cana-1282	24	14	uncover	uncover	VERB
cana-1282	24	15	important	important	ADJ
cana-1282	24	16	patterns	pattern	NOUN
cana-1282	24	17	and	and	CCONJ
cana-1282	24	18	insights	insight	NOUN
cana-1282	24	19	from	from	ADP
cana-1282	24	20	large	large	ADJ
cana-1282	24	21	volumes	volume	NOUN
cana-1282	24	22	of	of	ADP
cana-1282	24	23	educational	educational	ADJ
cana-1282	24	24	data	datum	NOUN
cana-1282	24	25	by	by	ADP
cana-1282	24	26	processing	process	VERB
cana-1282	24	27	this	this	DET
cana-1282	24	28	work	work	NOUN
cana-1282	24	29	presents	present	VERB
cana-1282	24	30	a	a	DET
cana-1282	24	31	deep	deep	ADJ
cana-1282	24	32	attention	attention	NOUN
cana-1282	24	33	residual	residual	ADJ
cana-1282	24	34	network	network	NOUN
cana-1282	24	35	(	(	PUNCT
cana-1282	24	36	deep	deep	ADJ
cana-1282	24	37	attention	attention	NOUN
cana-1282	24	38	resnet	resnet	NOUN
cana-1282	24	39	)	)	PUNCT
cana-1282	24	40	intended	intend	VERB
cana-1282	24	41	especially	especially	ADV
cana-1282	24	42	to	to	PART
cana-1282	24	43	solve	solve	VERB
cana-1282	24	44	the	the	DET
cana-1282	24	45	difficulties	difficulty	NOUN
cana-1282	24	46	in	in	ADP
cana-1282	24	47	mba	mba	NOUN
cana-1282	24	48	education	education	NOUN
cana-1282	24	49	and	and	CCONJ
cana-1282	24	50	maximize	maximize	VERB
cana-1282	24	51	student	student	NOUN
cana-1282	24	52	performance	performance	NOUN
cana-1282	24	53	by	by	ADP
cana-1282	24	54	means	mean	NOUN
cana-1282	24	55	of	of	ADP
cana-1282	24	56	tailored	tailored	ADJ
cana-1282	24	57	learning	learning	NOUN
cana-1282	24	58	interventions	intervention	NOUN
cana-1282	24	59	.	.	PUNCT
cana-1282	25	1	mba	mba	NOUN
cana-1282	25	2	institutions	institution	NOUN
cana-1282	25	3	are	be	AUX
cana-1282	25	4	defined	define	VERB
cana-1282	25	5	by	by	ADP
cana-1282	25	6	the	the	DET
cana-1282	25	7	diverse	diverse	ADJ
cana-1282	25	8	student	student	NOUN
cana-1282	25	9	population	population	NOUN
cana-1282	25	10	with	with	ADP
cana-1282	25	11	varying	vary	VERB
cana-1282	25	12	academic	academic	ADJ
cana-1282	25	13	backgrounds	background	NOUN
cana-1282	25	14	,	,	PUNCT
cana-1282	25	15	learning	learn	VERB
cana-1282	25	16	styles	style	NOUN
cana-1282	25	17	,	,	PUNCT
cana-1282	25	18	and	and	CCONJ
cana-1282	25	19	professional	professional	ADJ
cana-1282	25	20	experiences	experience	NOUN
cana-1282	25	21	.	.	PUNCT
cana-1282	26	1	teachers	teacher	NOUN
cana-1282	26	2	find	find	VERB
cana-1282	26	3	this	this	DET
cana-1282	26	4	variation	variation	NOUN
cana-1282	26	5	challenging	challenge	VERB
cana-1282	26	6	since	since	SCONJ
cana-1282	26	7	they	they	PRON
cana-1282	26	8	have	have	VERB
cana-1282	26	9	to	to	PART
cana-1282	26	10	change	change	VERB
cana-1282	26	11	their	their	PRON
cana-1282	26	12	strategies	strategy	NOUN
cana-1282	26	13	to	to	PART
cana-1282	26	14	meet	meet	VERB
cana-1282	26	15	every	every	DET
cana-1282	26	16	student	student	NOUN
cana-1282	26	17	's	's	PART
cana-1282	26	18	specific	specific	ADJ
cana-1282	26	19	need	need	NOUN
cana-1282	26	20	.	.	PUNCT
cana-1282	27	1	many	many	ADJ
cana-1282	27	2	times	time	NOUN
cana-1282	27	3	focusing	focus	VERB
cana-1282	27	4	on	on	ADP
cana-1282	27	5	a	a	DET
cana-1282	27	6	one	one	NUM
cana-1282	27	7	-	-	PUNCT
cana-1282	27	8	sizefits	sizefit	NOUN
cana-1282	27	9	-	-	PUNCT
cana-1282	27	10	all	all	DET
cana-1282	27	11	approach	approach	NOUN
cana-1282	27	12	,	,	PUNCT
cana-1282	27	13	conventional	conventional	ADJ
cana-1282	27	14	teaching	teaching	NOUN
cana-1282	27	15	methods	method	NOUN
cana-1282	27	16	could	could	AUX
cana-1282	27	17	produce	produce	VERB
cana-1282	27	18	less	less	ADJ
cana-1282	27	19	than	than	ADP
cana-1282	27	20	perfect	perfect	ADJ
cana-1282	27	21	learning	learning	NOUN
cana-1282	27	22	environments	environment	NOUN
cana-1282	27	23	and	and	CCONJ
cana-1282	27	24	outcomes	outcome	NOUN
cana-1282	27	25	.	.	PUNCT
cana-1282	28	1	big	big	ADJ
cana-1282	28	2	data	datum	NOUN
cana-1282	28	3	and	and	CCONJ
cana-1282	28	4	artificial	artificial	ADJ
cana-1282	28	5	intelligence	intelligence	NOUN
cana-1282	28	6	give	give	VERB
cana-1282	28	7	educational	educational	ADJ
cana-1282	28	8	institutions	institution	NOUN
cana-1282	28	9	the	the	DET
cana-1282	28	10	possibility	possibility	NOUN
cana-1282	28	11	to	to	PART
cana-1282	28	12	change	change	VERB
cana-1282	28	13	their	their	PRON
cana-1282	28	14	evaluation	evaluation	NOUN
cana-1282	28	15	of	of	ADP
cana-1282	28	16	student	student	NOUN
cana-1282	28	17	performance	performance	NOUN
cana-1282	28	18	and	and	CCONJ
cana-1282	28	19	presentation	presentation	NOUN
cana-1282	28	20	of	of	ADP
cana-1282	28	21	content	content	NOUN
cana-1282	28	22	.	.	PUNCT
cana-1282	29	1	especially	especially	ADV
cana-1282	29	2	deep	deep	ADJ
cana-1282	29	3	learning	learning	NOUN
cana-1282	29	4	methods	method	NOUN
cana-1282	29	5	may	may	AUX
cana-1282	29	6	examine	examine	VERB
cana-1282	29	7	enormous	enormous	ADJ
cana-1282	29	8	volumes	volume	NOUN
cana-1282	29	9	of	of	ADP
cana-1282	29	10	data	datum	NOUN
cana-1282	29	11	to	to	PART
cana-1282	29	12	identify	identify	VERB
cana-1282	29	13	trends	trend	NOUN
cana-1282	29	14	and	and	CCONJ
cana-1282	29	15	create	create	VERB
cana-1282	29	16	tailored	tailored	ADJ
cana-1282	29	17	recommendations	recommendation	NOUN
cana-1282	29	18	.	.	PUNCT
cana-1282	30	1	although	although	SCONJ
cana-1282	30	2	deep	deep	ADJ
cana-1282	30	3	learning	learning	NOUN
cana-1282	30	4	has	have	VERB
cana-1282	30	5	enormous	enormous	ADJ
cana-1282	30	6	potential	potential	ADJ
cana-1282	30	7	,	,	PUNCT
cana-1282	30	8	significant	significant	ADJ
cana-1282	30	9	challenges	challenge	NOUN
cana-1282	30	10	still	still	ADV
cana-1282	30	11	exist	exist	VERB
cana-1282	30	12	in	in	ADP
cana-1282	30	13	applying	apply	VERB
cana-1282	30	14	these	these	DET
cana-1282	30	15	techniques	technique	NOUN
cana-1282	30	16	to	to	ADP
cana-1282	30	17	learning	learn	VERB
cana-1282	30	18	data	datum	NOUN
cana-1282	30	19	.	.	PUNCT
cana-1282	31	1	first	first	ADV
cana-1282	31	2	of	of	ADP
cana-1282	31	3	all	all	PRON
cana-1282	31	4	,	,	PUNCT
cana-1282	31	5	among	among	ADP
cana-1282	31	6	other	other	ADJ
cana-1282	31	7	types	type	NOUN
cana-1282	31	8	of	of	ADP
cana-1282	31	9	data	datum	NOUN
cana-1282	31	10	,	,	PUNCT
cana-1282	31	11	grades	grade	NOUN
cana-1282	31	12	,	,	PUNCT
cana-1282	31	13	attendance	attendance	NOUN
cana-1282	31	14	,	,	PUNCT
cana-1282	31	15	participation	participation	NOUN
cana-1282	31	16	,	,	PUNCT
cana-1282	31	17	and	and	CCONJ
cana-1282	31	18	demographic	demographic	ADJ
cana-1282	31	19	information	information	NOUN
cana-1282	31	20	in	in	ADP
cana-1282	31	21	educational	educational	ADJ
cana-1282	31	22	statistics	statistic	NOUN
cana-1282	31	23	can	can	AUX
cana-1282	31	24	be	be	AUX
cana-1282	31	25	rather	rather	ADV
cana-1282	31	26	complex	complex	ADJ
cana-1282	31	27	and	and	CCONJ
cana-1282	31	28	varied	varied	ADJ
cana-1282	31	29	.	.	PUNCT
cana-1282	32	1	second	second	ADJ
cana-1282	32	2	,	,	PUNCT
cana-1282	32	3	the	the	DET
cana-1282	32	4	interpretability	interpretability	NOUN
cana-1282	32	5	of	of	ADP
cana-1282	32	6	the	the	DET
cana-1282	32	7	models	model	NOUN
cana-1282	32	8	creates	create	VERB
cana-1282	32	9	major	major	ADJ
cana-1282	32	10	problems	problem	NOUN
cana-1282	32	11	since	since	SCONJ
cana-1282	32	12	teachers	teacher	NOUN
cana-1282	32	13	need	need	VERB
cana-1282	32	14	to	to	PART
cana-1282	32	15	understand	understand	VERB
cana-1282	32	16	the	the	DET
cana-1282	32	17	underlying	underlying	ADJ
cana-1282	32	18	reasons	reason	NOUN
cana-1282	32	19	behind	behind	ADP
cana-1282	32	20	the	the	DET
cana-1282	32	21	predictions	prediction	NOUN
cana-1282	32	22	of	of	ADP
cana-1282	32	23	deep	deep	ADJ
cana-1282	32	24	learning	learning	NOUN
cana-1282	32	25	models	model	NOUN
cana-1282	32	26	to	to	PART
cana-1282	32	27	implement	implement	VERB
cana-1282	32	28	effective	effective	ADJ
cana-1282	32	29	interventions	intervention	NOUN
cana-1282	32	30	.	.	PUNCT
cana-1282	33	1	moreover	moreover	ADV
cana-1282	33	2	difficult	difficult	ADJ
cana-1282	33	3	for	for	SCONJ
cana-1282	33	4	conventional	conventional	ADJ
cana-1282	33	5	deep	deep	ADJ
cana-1282	33	6	learning	learning	NOUN
cana-1282	33	7	models	model	NOUN
cana-1282	33	8	are	be	AUX
cana-1282	33	9	contextual	contextual	ADJ
cana-1282	33	10	relationships	relationship	NOUN
cana-1282	33	11	and	and	CCONJ
cana-1282	33	12	underlining	underline	VERB
cana-1282	33	13	the	the	DET
cana-1282	33	14	most	most	ADV
cana-1282	33	15	relevant	relevant	ADJ
cana-1282	33	16	features	feature	NOUN
cana-1282	33	17	in	in	ADP
cana-1282	33	18	the	the	DET
cana-1282	33	19	input	input	NOUN
cana-1282	33	20	.	.	PUNCT
cana-1282	34	1	the	the	DET
cana-1282	34	2	fundamental	fundamental	ADJ
cana-1282	34	3	problem	problem	NOUN
cana-1282	34	4	this	this	DET
cana-1282	34	5	paper	paper	NOUN
cana-1282	34	6	addresses	address	NOUN
cana-1282	34	7	is	be	AUX
cana-1282	34	8	the	the	DET
cana-1282	34	9	lack	lack	NOUN
cana-1282	34	10	of	of	ADP
cana-1282	34	11	effective	effective	ADJ
cana-1282	34	12	tools	tool	NOUN
cana-1282	34	13	to	to	PART
cana-1282	34	14	investigate	investigate	VERB
cana-1282	34	15	and	and	CCONJ
cana-1282	34	16	modify	modify	VERB
cana-1282	34	17	mba	mba	NOUN
cana-1282	34	18	program	program	NOUN
cana-1282	34	19	learning	learning	NOUN
cana-1282	34	20	possibilities	possibility	NOUN
cana-1282	34	21	.	.	PUNCT
cana-1282	35	1	much	much	ADV
cana-1282	35	2	sought	seek	VERB
cana-1282	35	3	for	for	ADP
cana-1282	35	4	is	be	AUX
cana-1282	35	5	a	a	DET
cana-1282	35	6	model	model	NOUN
cana-1282	35	7	that	that	PRON
cana-1282	35	8	can	can	AUX
cana-1282	35	9	efficiently	efficiently	ADV
cana-1282	35	10	evaluate	evaluate	VERB
cana-1282	35	11	much	much	ADJ
cana-1282	35	12	educational	educational	ADJ
cana-1282	35	13	data	datum	NOUN
cana-1282	35	14	,	,	PUNCT
cana-1282	35	15	identify	identify	VERB
cana-1282	35	16	significant	significant	ADJ
cana-1282	35	17	factors	factor	NOUN
cana-1282	35	18	influencing	influence	VERB
cana-1282	35	19	student	student	NOUN
cana-1282	35	20	growth	growth	NOUN
cana-1282	35	21	,	,	PUNCT
cana-1282	35	22	and	and	CCONJ
cana-1282	35	23	give	give	VERB
cana-1282	35	24	teachers	teacher	NOUN
cana-1282	35	25	useful	useful	ADJ
cana-1282	35	26	insights	insight	NOUN
cana-1282	35	27	.	.	PUNCT
cana-1282	36	1	the	the	DET
cana-1282	36	2	challenge	challenge	NOUN
cana-1282	36	3	is	be	AUX
cana-1282	36	4	developing	develop	VERB
cana-1282	36	5	a	a	DET
cana-1282	36	6	model	model	NOUN
cana-1282	36	7	that	that	SCONJ
cana-1282	36	8	not	not	PART
cana-1282	36	9	only	only	ADV
cana-1282	36	10	stresses	stress	NOUN
cana-1282	36	11	on	on	ADP
cana-1282	36	12	the	the	DET
cana-1282	36	13	most	most	ADV
cana-1282	36	14	crucial	crucial	ADJ
cana-1282	36	15	elements	element	NOUN
cana-1282	36	16	and	and	CCONJ
cana-1282	36	17	offers	offer	VERB
cana-1282	36	18	interpretability	interpretability	NOUN
cana-1282	36	19	but	but	CCONJ
cana-1282	36	20	also	also	ADV
cana-1282	36	21	exactly	exactly	ADV
cana-1282	36	22	predicts	predict	VERB
cana-1282	36	23	student	student	NOUN
cana-1282	36	24	performance	performance	NOUN
cana-1282	36	25	.	.	PUNCT
cana-1282	37	1	this	this	DET
cana-1282	37	2	work	work	NOUN
cana-1282	37	3	focuses	focus	VERB
cana-1282	37	4	mostly	mostly	ADV
cana-1282	37	5	in	in	ADP
cana-1282	37	6	building	build	VERB
cana-1282	37	7	a	a	DET
cana-1282	37	8	deep	deep	ADJ
cana-1282	37	9	attention	attention	NOUN
cana-1282	37	10	resnet	resnet	NOUN
cana-1282	37	11	model	model	NOUN
cana-1282	37	12	with	with	ADP
cana-1282	37	13	which	which	PRON
cana-1282	37	14	:	:	PUNCT
cana-1282	37	15	1	1	X
cana-1282	37	16	.	.	X
cana-1282	37	17	to	to	PART
cana-1282	37	18	increase	increase	VERB
cana-1282	37	19	the	the	DET
cana-1282	37	20	accuracy	accuracy	NOUN
cana-1282	37	21	of	of	ADP
cana-1282	37	22	the	the	DET
cana-1282	37	23	projection	projection	NOUN
cana-1282	37	24	for	for	ADP
cana-1282	37	25	results	result	NOUN
cana-1282	37	26	on	on	ADP
cana-1282	37	27	student	student	NOUN
cana-1282	37	28	performance	performance	NOUN
cana-1282	37	29	.	.	PUNCT
cana-1282	38	1	2	2	X
cana-1282	38	2	.	.	PUNCT
cana-1282	38	3	to	to	PART
cana-1282	38	4	incorporate	incorporate	VERB
cana-1282	38	5	attention	attention	NOUN
cana-1282	38	6	mechanisms	mechanism	NOUN
cana-1282	38	7	to	to	PART
cana-1282	38	8	focus	focus	VERB
cana-1282	38	9	on	on	ADP
cana-1282	38	10	the	the	DET
cana-1282	38	11	most	most	ADV
cana-1282	38	12	essential	essential	ADJ
cana-1282	38	13	elements	element	NOUN
cana-1282	38	14	.	.	PUNCT
cana-1282	39	1	3	3	X
cana-1282	39	2	.	.	X
cana-1282	39	3	to	to	PART
cana-1282	39	4	provide	provide	VERB
cana-1282	39	5	easily	easily	ADV
cana-1282	39	6	understood	understand	VERB
cana-1282	39	7	study	study	NOUN
cana-1282	39	8	of	of	ADP
cana-1282	39	9	the	the	DET
cana-1282	39	10	factors	factor	NOUN
cana-1282	39	11	affecting	affect	VERB
cana-1282	39	12	student	student	NOUN
cana-1282	39	13	performance	performance	NOUN
cana-1282	39	14	.	.	PUNCT
cana-1282	40	1	4	4	X
cana-1282	40	2	.	.	PUNCT
cana-1282	40	3	to	to	PART
cana-1282	40	4	offer	offer	VERB
cana-1282	40	5	personalized	personalized	ADJ
cana-1282	40	6	learning	learn	VERB
cana-1282	40	7	recommendations	recommendation	NOUN
cana-1282	40	8	aimed	aim	VERB
cana-1282	40	9	to	to	PART
cana-1282	40	10	improve	improve	VERB
cana-1282	40	11	academic	academic	ADJ
cana-1282	40	12	performance	performance	NOUN
cana-1282	40	13	.	.	PUNCT
cana-1282	41	1	this	this	DET
cana-1282	41	2	work	work	NOUN
cana-1282	41	3	is	be	AUX
cana-1282	41	4	special	special	ADJ
cana-1282	41	5	since	since	SCONJ
cana-1282	41	6	it	it	PRON
cana-1282	41	7	combines	combine	VERB
cana-1282	41	8	attention	attention	NOUN
cana-1282	41	9	mechanisms	mechanism	NOUN
cana-1282	41	10	into	into	ADP
cana-1282	41	11	a	a	DET
cana-1282	41	12	residual	residual	ADJ
cana-1282	41	13	network	network	NOUN
cana-1282	41	14	architecture	architecture	NOUN
cana-1282	41	15	to	to	PART
cana-1282	41	16	generate	generate	VERB
cana-1282	41	17	an	an	DET
cana-1282	41	18	interpretable	interpretable	ADJ
cana-1282	41	19	model	model	NOUN
cana-1282	41	20	with	with	ADP
cana-1282	41	21	performance	performance	NOUN
cana-1282	41	22	excellence	excellence	NOUN
cana-1282	41	23	as	as	ADV
cana-1282	41	24	well	well	ADV
cana-1282	41	25	.	.	PUNCT
cana-1282	42	1	attention	attention	NOUN
cana-1282	42	2	layers	layer	NOUN
cana-1282	42	3	allowing	allow	VERB
cana-1282	42	4	the	the	DET
cana-1282	42	5	model	model	NOUN
cana-1282	42	6	to	to	PART
cana-1282	42	7	dynamically	dynamically	ADV
cana-1282	42	8	prioritize	prioritize	VERB
cana-1282	42	9	important	important	ADJ
cana-1282	42	10	features	feature	NOUN
cana-1282	42	11	enhance	enhance	VERB
cana-1282	42	12	conventional	conventional	ADJ
cana-1282	42	13	resnet	resnet	NOUN
cana-1282	42	14	models	model	NOUN
cana-1282	42	15	and	and	CCONJ
cana-1282	42	16	so	so	ADV
cana-1282	42	17	make	make	VERB
cana-1282	42	18	the	the	DET
cana-1282	42	19	model	model	NOUN
cana-1282	42	20	especially	especially	ADV
cana-1282	42	21	valuable	valuable	ADJ
cana-1282	42	22	in	in	ADP
cana-1282	42	23	educational	educational	ADJ
cana-1282	42	24	situations	situation	NOUN
cana-1282	42	25	where	where	SCONJ
cana-1282	42	26	some	some	DET
cana-1282	42	27	elements	element	NOUN
cana-1282	42	28	could	could	AUX
cana-1282	42	29	disproportionately	disproportionately	ADV
cana-1282	42	30	influence	influence	VERB
cana-1282	42	31	results	result	NOUN
cana-1282	42	32	.	.	PUNCT
cana-1282	43	1	the	the	DET
cana-1282	43	2	various	various	ADJ
cana-1282	43	3	contributions	contribution	NOUN
cana-1282	43	4	this	this	DET
cana-1282	43	5	study	study	NOUN
cana-1282	43	6	makes	make	VERB
cana-1282	43	7	are	be	AUX
cana-1282	43	8	:	:	PUNCT
cana-1282	43	9	1	1	X
cana-1282	43	10	.	.	X
cana-1282	43	11	showing	show	VERB
cana-1282	43	12	a	a	DET
cana-1282	43	13	deep	deep	ADJ
cana-1282	43	14	attention	attention	NOUN
cana-1282	43	15	resnet	resnet	NOUN
cana-1282	43	16	to	to	PART
cana-1282	43	17	combine	combine	VERB
cana-1282	43	18	the	the	DET
cana-1282	43	19	benefits	benefit	NOUN
cana-1282	43	20	of	of	ADP
cana-1282	43	21	attention	attention	NOUN
cana-1282	43	22	processes	process	NOUN
cana-1282	43	23	with	with	ADP
cana-1282	43	24	residual	residual	ADJ
cana-1282	43	25	learning	learning	NOUN
cana-1282	43	26	to	to	PART
cana-1282	43	27	increase	increase	VERB
cana-1282	43	28	model	model	NOUN
cana-1282	43	29	interpretability	interpretability	NOUN
cana-1282	43	30	and	and	CCONJ
cana-1282	43	31	prediction	prediction	NOUN
cana-1282	43	32	accuracy	accuracy	NOUN
cana-1282	43	33	communications	communication	NOUN
cana-1282	43	34	on	on	ADP
cana-1282	43	35	applied	apply	VERB
cana-1282	43	36	nonlinear	nonlinear	ADJ
cana-1282	43	37	analysis	analysis	NOUN
cana-1282	43	38	issn	issn	NOUN
cana-1282	43	39	:	:	PUNCT
cana-1282	43	40	1074	1074	NUM
cana-1282	43	41	-	-	PUNCT
cana-1282	43	42	133x	133x	NUM
cana-1282	43	43	vol	vol	NOUN
cana-1282	43	44	31	31	NUM
cana-1282	43	45	no	no	NOUN
cana-1282	43	46	.	.	PUNCT
cana-1282	44	1	7s	7	NOUN
cana-1282	44	2	(	(	PUNCT
cana-1282	44	3	2024	2024	NUM
cana-1282	44	4	)	)	PUNCT
cana-1282	44	5	40	40	NUM
cana-1282	45	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1282	45	2	2	2	NUM
cana-1282	45	3	.	.	PUNCT
cana-1282	45	4	using	use	VERB
cana-1282	45	5	the	the	DET
cana-1282	45	6	model	model	NOUN
cana-1282	45	7	particularly	particularly	ADV
cana-1282	45	8	in	in	ADP
cana-1282	45	9	relation	relation	NOUN
cana-1282	45	10	to	to	PART
cana-1282	45	11	mba	mba	NOUN
cana-1282	45	12	education	education	NOUN
cana-1282	45	13	,	,	PUNCT
cana-1282	45	14	it	it	PRON
cana-1282	45	15	is	be	AUX
cana-1282	45	16	clear	clear	ADJ
cana-1282	45	17	that	that	SCONJ
cana-1282	45	18	it	it	PRON
cana-1282	45	19	can	can	AUX
cana-1282	45	20	manage	manage	VERB
cana-1282	45	21	complex	complex	ADJ
cana-1282	45	22	and	and	CCONJ
cana-1282	45	23	varied	varied	ADJ
cana-1282	45	24	learning	learning	NOUN
cana-1282	45	25	materials	material	NOUN
cana-1282	45	26	.	.	PUNCT
cana-1282	46	1	3	3	X
cana-1282	46	2	.	.	X
cana-1282	46	3	providing	provide	VERB
cana-1282	46	4	a	a	DET
cana-1282	46	5	framework	framework	NOUN
cana-1282	46	6	for	for	ADP
cana-1282	46	7	customized	customized	ADJ
cana-1282	46	8	recommendations	recommendation	NOUN
cana-1282	46	9	for	for	ADP
cana-1282	46	10	individualized	individualized	ADJ
cana-1282	46	11	learning	learning	NOUN
cana-1282	46	12	would	would	AUX
cana-1282	46	13	help	help	VERB
cana-1282	46	14	educators	educator	NOUN
cana-1282	46	15	to	to	PART
cana-1282	46	16	fit	fit	VERB
cana-1282	46	17	their	their	PRON
cana-1282	46	18	methods	method	NOUN
cana-1282	46	19	to	to	ADP
cana-1282	46	20	specific	specific	ADJ
cana-1282	46	21	needs	need	NOUN
cana-1282	46	22	of	of	ADP
cana-1282	46	23	their	their	PRON
cana-1282	46	24	pupils	pupil	NOUN
cana-1282	46	25	.	.	PUNCT
cana-1282	47	1	2	2	X
cana-1282	47	2	.	.	X
cana-1282	47	3	related	relate	VERB
cana-1282	47	4	works	work	NOUN
cana-1282	47	5	from	from	ADP
cana-1282	47	6	banking	bank	VERB
cana-1282	47	7	to	to	ADP
cana-1282	47	8	education	education	NOUN
cana-1282	47	9	to	to	ADP
cana-1282	47	10	personality	personality	NOUN
cana-1282	47	11	recognition	recognition	NOUN
cana-1282	47	12	,	,	PUNCT
cana-1282	47	13	deep	deep	ADJ
cana-1282	47	14	learning	learning	NOUN
cana-1282	47	15	and	and	CCONJ
cana-1282	47	16	machine	machine	NOUN
cana-1282	47	17	learning	learning	NOUN
cana-1282	47	18	approaches	approach	NOUN
cana-1282	47	19	have	have	AUX
cana-1282	47	20	lately	lately	ADV
cana-1282	47	21	become	become	VERB
cana-1282	47	22	much	much	ADV
cana-1282	47	23	more	more	ADV
cana-1282	47	24	relevant	relevant	ADJ
cana-1282	47	25	in	in	ADP
cana-1282	47	26	numerous	numerous	ADJ
cana-1282	47	27	disciplines	discipline	NOUN
cana-1282	47	28	.	.	PUNCT
cana-1282	48	1	reviewing	review	VERB
cana-1282	48	2	relevant	relevant	ADJ
cana-1282	48	3	material	material	NOUN
cana-1282	48	4	in	in	ADP
cana-1282	48	5	various	various	ADJ
cana-1282	48	6	fields	field	NOUN
cana-1282	48	7	,	,	PUNCT
cana-1282	48	8	this	this	DET
cana-1282	48	9	section	section	NOUN
cana-1282	48	10	highlights	highlight	NOUN
cana-1282	48	11	methods	method	NOUN
cana-1282	48	12	and	and	CCONJ
cana-1282	48	13	concepts	concept	NOUN
cana-1282	48	14	supporting	support	VERB
cana-1282	48	15	our	our	PRON
cana-1282	48	16	research	research	NOUN
cana-1282	48	17	.	.	PUNCT
cana-1282	49	1	using	use	VERB
cana-1282	49	2	deep	deep	ADJ
cana-1282	49	3	learning	learning	NOUN
cana-1282	49	4	to	to	PART
cana-1282	49	5	handle	handle	VERB
cana-1282	49	6	difficult	difficult	ADJ
cana-1282	49	7	tasks	task	NOUN
cana-1282	49	8	as	as	SCONJ
cana-1282	49	9	the	the	DET
cana-1282	49	10	american	american	ADJ
cana-1282	49	11	options	option	NOUN
cana-1282	49	12	model	model	NOUN
cana-1282	49	13	is	be	AUX
cana-1282	49	14	one	one	NUM
cana-1282	49	15	major	major	ADJ
cana-1282	49	16	change	change	NOUN
cana-1282	49	17	in	in	ADP
cana-1282	49	18	financial	financial	ADJ
cana-1282	49	19	modeling	modeling	NOUN
cana-1282	49	20	.	.	PUNCT
cana-1282	50	1	usually	usually	ADV
cana-1282	50	2	addressed	address	VERB
cana-1282	50	3	by	by	ADP
cana-1282	50	4	numerical	numerical	ADJ
cana-1282	50	5	methods	method	NOUN
cana-1282	50	6	,	,	PUNCT
cana-1282	50	7	the	the	DET
cana-1282	50	8	work	work	NOUN
cana-1282	50	9	by	by	ADP
cana-1282	50	10	[	[	X
cana-1282	50	11	11	11	NUM
cana-1282	50	12	]	]	PUNCT
cana-1282	50	13	offers	offer	VERB
cana-1282	50	14	a	a	DET
cana-1282	50	15	novel	novel	ADJ
cana-1282	50	16	strategy	strategy	NOUN
cana-1282	50	17	employing	employ	VERB
cana-1282	50	18	deep	deep	ADJ
cana-1282	50	19	neural	neural	ADJ
cana-1282	50	20	networks	network	NOUN
cana-1282	50	21	(	(	PUNCT
cana-1282	50	22	dnns	dnn	NOUN
cana-1282	50	23	)	)	PUNCT
cana-1282	50	24	to	to	PART
cana-1282	50	25	extract	extract	VERB
cana-1282	50	26	the	the	DET
cana-1282	50	27	early	early	ADJ
cana-1282	50	28	exercise	exercise	NOUN
cana-1282	50	29	border	border	NOUN
cana-1282	50	30	from	from	ADP
cana-1282	50	31	american	american	ADJ
cana-1282	50	32	alternatives	alternative	NOUN
cana-1282	50	33	.	.	PUNCT
cana-1282	51	1	this	this	DET
cana-1282	51	2	method	method	NOUN
cana-1282	51	3	combines	combine	VERB
cana-1282	51	4	a	a	DET
cana-1282	51	5	landau	landau	NOUN
cana-1282	51	6	transformation	transformation	NOUN
cana-1282	51	7	to	to	PART
cana-1282	51	8	raise	raise	VERB
cana-1282	51	9	the	the	DET
cana-1282	51	10	efficiency	efficiency	NOUN
cana-1282	51	11	of	of	ADP
cana-1282	51	12	modeling	model	VERB
cana-1282	51	13	free	free	ADJ
cana-1282	51	14	boundary	boundary	ADJ
cana-1282	51	15	features	feature	NOUN
cana-1282	51	16	and	and	CCONJ
cana-1282	51	17	creates	create	VERB
cana-1282	51	18	an	an	DET
cana-1282	51	19	implicit	implicit	ADJ
cana-1282	51	20	dual	dual	ADJ
cana-1282	51	21	solution	solution	NOUN
cana-1282	51	22	framework	framework	NOUN
cana-1282	51	23	.	.	PUNCT
cana-1282	52	1	including	include	VERB
cana-1282	52	2	auxiliary	auxiliary	ADJ
cana-1282	52	3	tasks	task	NOUN
cana-1282	52	4	and	and	CCONJ
cana-1282	52	5	equations	equation	NOUN
cana-1282	52	6	approaching	approach	VERB
cana-1282	52	7	the	the	DET
cana-1282	52	8	early	early	ADJ
cana-1282	52	9	exercise	exercise	NOUN
cana-1282	52	10	boundary	boundary	NOUN
cana-1282	52	11	offers	offer	VERB
cana-1282	52	12	a	a	DET
cana-1282	52	13	novel	novel	ADJ
cana-1282	52	14	perspective	perspective	NOUN
cana-1282	52	15	on	on	ADP
cana-1282	52	16	option	option	NOUN
cana-1282	52	17	pricing	pricing	NOUN
cana-1282	52	18	.	.	PUNCT
cana-1282	53	1	calculating	calculate	VERB
cana-1282	53	2	option	option	NOUN
cana-1282	53	3	greeks	greek	NOUN
cana-1282	53	4	also	also	ADV
cana-1282	53	5	indicates	indicate	VERB
cana-1282	53	6	that	that	SCONJ
cana-1282	53	7	deep	deep	ADJ
cana-1282	53	8	learning	learning	NOUN
cana-1282	53	9	may	may	AUX
cana-1282	53	10	produce	produce	VERB
cana-1282	53	11	faster	fast	ADV
cana-1282	53	12	and	and	CCONJ
cana-1282	53	13	maybe	maybe	ADV
cana-1282	53	14	more	more	ADV
cana-1282	53	15	accurate	accurate	ADJ
cana-1282	53	16	solutions	solution	NOUN
cana-1282	53	17	,	,	PUNCT
cana-1282	53	18	therefore	therefore	ADV
cana-1282	53	19	offering	offer	VERB
cana-1282	53	20	considerable	considerable	ADJ
cana-1282	53	21	advantages	advantage	NOUN
cana-1282	53	22	over	over	ADP
cana-1282	53	23	standard	standard	ADJ
cana-1282	53	24	numerical	numerical	ADJ
cana-1282	53	25	methods	method	NOUN
cana-1282	53	26	in	in	ADP
cana-1282	53	27	financial	financial	ADJ
cana-1282	53	28	applications	application	NOUN
cana-1282	53	29	.	.	PUNCT
cana-1282	54	1	machine	machine	NOUN
cana-1282	54	2	learning	learning	NOUN
cana-1282	54	3	is	be	AUX
cana-1282	54	4	rather	rather	ADV
cana-1282	54	5	crucial	crucial	ADJ
cana-1282	54	6	in	in	ADP
cana-1282	54	7	the	the	DET
cana-1282	54	8	field	field	NOUN
cana-1282	54	9	of	of	ADP
cana-1282	54	10	education	education	NOUN
cana-1282	54	11	if	if	SCONJ
cana-1282	54	12	one	one	PRON
cana-1282	54	13	wants	want	VERB
cana-1282	54	14	to	to	PART
cana-1282	54	15	improve	improve	VERB
cana-1282	54	16	employability	employability	NOUN
cana-1282	54	17	projections	projection	NOUN
cana-1282	54	18	and	and	CCONJ
cana-1282	54	19	student	student	NOUN
cana-1282	54	20	performance	performance	NOUN
cana-1282	54	21	.	.	PUNCT
cana-1282	55	1	the	the	DET
cana-1282	55	2	study	study	NOUN
cana-1282	55	3	shown	show	VERB
cana-1282	55	4	in	in	ADP
cana-1282	55	5	[	[	X
cana-1282	55	6	12	12	NUM
cana-1282	55	7	]	]	PUNCT
cana-1282	55	8	uses	use	VERB
cana-1282	55	9	a	a	DET
cana-1282	55	10	teaching	teaching	NOUN
cana-1282	55	11	learning	learn	VERB
cana-1282	55	12	based	base	VERB
cana-1282	55	13	optimization	optimization	NOUN
cana-1282	55	14	(	(	PUNCT
cana-1282	55	15	tlbo	tlbo	ADJ
cana-1282	55	16	)	)	PUNCT
cana-1282	55	17	technique	technique	NOUN
cana-1282	55	18	for	for	ADP
cana-1282	55	19	feature	feature	NOUN
cana-1282	55	20	selection	selection	NOUN
cana-1282	55	21	,	,	PUNCT
cana-1282	55	22	therefore	therefore	ADV
cana-1282	55	23	enhancing	enhance	VERB
cana-1282	55	24	the	the	DET
cana-1282	55	25	accuracy	accuracy	NOUN
cana-1282	55	26	of	of	ADP
cana-1282	55	27	multiple	multiple	ADJ
cana-1282	55	28	classifiers	classifier	NOUN
cana-1282	55	29	used	use	VERB
cana-1282	55	30	to	to	PART
cana-1282	55	31	anticipate	anticipate	VERB
cana-1282	55	32	employability	employability	NOUN
cana-1282	55	33	among	among	ADP
cana-1282	55	34	technical	technical	ADJ
cana-1282	55	35	higher	high	ADJ
cana-1282	55	36	education	education	NOUN
cana-1282	55	37	students	student	NOUN
cana-1282	55	38	.	.	PUNCT
cana-1282	56	1	studies	study	NOUN
cana-1282	56	2	found	find	VERB
cana-1282	56	3	that	that	SCONJ
cana-1282	56	4	support	support	NOUN
cana-1282	56	5	vector	vector	NOUN
cana-1282	56	6	machine	machine	NOUN
cana-1282	56	7	(	(	PUNCT
cana-1282	56	8	svm	svm	PROPN
cana-1282	56	9	)	)	PUNCT
cana-1282	56	10	classifiers	classifier	NOUN
cana-1282	56	11	got	get	VERB
cana-1282	56	12	the	the	DET
cana-1282	56	13	best	good	ADJ
cana-1282	56	14	accuracy	accuracy	NOUN
cana-1282	56	15	at	at	ADP
cana-1282	56	16	74.37	74.37	NUM
cana-1282	56	17	%	%	NOUN
cana-1282	56	18	.	.	PUNCT
cana-1282	57	1	by	by	ADP
cana-1282	57	2	13.43	13.43	NUM
cana-1282	57	3	%	%	NOUN
cana-1282	57	4	,	,	PUNCT
cana-1282	57	5	customizing	customizing	NOUN
cana-1282	57	6	svm	svm	ADJ
cana-1282	57	7	hyperparameters	hyperparameter	NOUN
cana-1282	57	8	—	—	PUNCT
cana-1282	57	9	that	that	ADV
cana-1282	57	10	is	is	ADV
cana-1282	57	11	,	,	PUNCT
cana-1282	57	12	the	the	DET
cana-1282	57	13	kernel	kernel	PROPN
cana-1282	57	14	function	function	PROPN
cana-1282	57	15	and	and	CCONJ
cana-1282	57	16	regularization	regularization	NOUN
cana-1282	57	17	parameters	parameter	NOUN
cana-1282	57	18	—	—	PUNCT
cana-1282	57	19	resulted	result	VERB
cana-1282	57	20	in	in	ADP
cana-1282	57	21	even	even	ADV
cana-1282	57	22	further	further	ADJ
cana-1282	57	23	improvements	improvement	NOUN
cana-1282	57	24	greatly	greatly	ADV
cana-1282	57	25	increasing	increase	VERB
cana-1282	57	26	accuracy	accuracy	NOUN
cana-1282	57	27	.	.	PUNCT
cana-1282	58	1	this	this	PRON
cana-1282	58	2	underlines	underline	VERB
cana-1282	58	3	the	the	DET
cana-1282	58	4	requirement	requirement	NOUN
cana-1282	58	5	of	of	ADP
cana-1282	58	6	feature	feature	NOUN
cana-1282	58	7	selection	selection	NOUN
cana-1282	58	8	and	and	CCONJ
cana-1282	58	9	parameter	parameter	NOUN
cana-1282	58	10	optimization	optimization	NOUN
cana-1282	58	11	in	in	ADP
cana-1282	58	12	educational	educational	ADJ
cana-1282	58	13	data	datum	NOUN
cana-1282	58	14	analysis	analysis	NOUN
cana-1282	58	15	thereby	thereby	ADV
cana-1282	58	16	enabling	enable	VERB
cana-1282	58	17	institutions	institution	NOUN
cana-1282	58	18	to	to	PART
cana-1282	58	19	better	well	ADV
cana-1282	58	20	understand	understand	VERB
cana-1282	58	21	and	and	CCONJ
cana-1282	58	22	project	project	NOUN
cana-1282	58	23	components	component	NOUN
cana-1282	58	24	of	of	ADP
cana-1282	58	25	student	student	NOUN
cana-1282	58	26	success	success	NOUN
cana-1282	58	27	.	.	PUNCT
cana-1282	59	1	another	another	DET
cana-1282	59	2	field	field	NOUN
cana-1282	59	3	where	where	SCONJ
cana-1282	59	4	deep	deep	ADJ
cana-1282	59	5	learning	learning	NOUN
cana-1282	59	6	has	have	AUX
cana-1282	59	7	shown	show	VERB
cana-1282	59	8	considerable	considerable	ADJ
cana-1282	59	9	potential	potential	NOUN
cana-1282	59	10	is	be	AUX
cana-1282	59	11	text	text	NOUN
cana-1282	59	12	analysis	analysis	NOUN
cana-1282	59	13	-	-	PUNCT
cana-1282	59	14	based	base	VERB
cana-1282	59	15	personality	personality	NOUN
cana-1282	59	16	diagnosis	diagnosis	NOUN
cana-1282	59	17	.	.	PUNCT
cana-1282	60	1	presented	present	VERB
cana-1282	60	2	in	in	ADP
cana-1282	60	3	[	[	PUNCT
cana-1282	60	4	13	13	NUM
cana-1282	60	5	]	]	X
cana-1282	60	6	deepperson	deepperson	NOUN
cana-1282	60	7	is	be	AUX
cana-1282	60	8	a	a	DET
cana-1282	60	9	deep	deep	ADJ
cana-1282	60	10	learning	learning	NOUN
cana-1282	60	11	artifact	artifact	NOUN
cana-1282	60	12	derived	derive	VERB
cana-1282	60	13	on	on	ADP
cana-1282	60	14	psycholinguistic	psycholinguistic	ADJ
cana-1282	60	15	concepts	concept	NOUN
cana-1282	60	16	and	and	CCONJ
cana-1282	60	17	meant	mean	VERB
cana-1282	60	18	for	for	ADP
cana-1282	60	19	text	text	NOUN
cana-1282	60	20	-	-	PUNCT
cana-1282	60	21	based	base	VERB
cana-1282	60	22	personality	personality	NOUN
cana-1282	60	23	identification	identification	NOUN
cana-1282	60	24	.	.	PUNCT
cana-1282	61	1	deepperson	deepperson	PROPN
cana-1282	61	2	integrates	integrate	VERB
cana-1282	61	3	modern	modern	ADJ
cana-1282	61	4	machine	machine	NOUN
cana-1282	61	5	learning	learn	VERB
cana-1282	61	6	techniques	technique	NOUN
cana-1282	61	7	with	with	ADP
cana-1282	61	8	psychological	psychological	ADJ
cana-1282	61	9	notions	notion	NOUN
cana-1282	61	10	by	by	ADP
cana-1282	61	11	combining	combine	VERB
cana-1282	61	12	hierarchical	hierarchical	ADJ
cana-1282	61	13	attention	attention	NOUN
cana-1282	61	14	networks	network	NOUN
cana-1282	61	15	with	with	ADP
cana-1282	61	16	transfer	transfer	NOUN
cana-1282	61	17	learning	learning	NOUN
cana-1282	61	18	.	.	PUNCT
cana-1282	62	1	above	above	ADP
cana-1282	62	2	numerous	numerous	ADJ
cana-1282	62	3	datasets	dataset	NOUN
cana-1282	62	4	,	,	PUNCT
cana-1282	62	5	deepperson	deepperson	PROPN
cana-1282	62	6	demonstrated	demonstrate	VERB
cana-1282	62	7	increases	increase	NOUN
cana-1282	62	8	in	in	ADP
cana-1282	62	9	personality	personality	NOUN
cana-1282	62	10	dimension	dimension	NOUN
cana-1282	62	11	recognition	recognition	NOUN
cana-1282	62	12	by	by	ADP
cana-1282	62	13	10–20	10–20	NUM
cana-1282	62	14	percentage	percentage	NOUN
cana-1282	62	15	points	point	NOUN
cana-1282	62	16	above	above	ADP
cana-1282	62	17	current	current	ADJ
cana-1282	62	18	methods	method	NOUN
cana-1282	62	19	.	.	PUNCT
cana-1282	63	1	this	this	DET
cana-1282	63	2	progress	progress	NOUN
cana-1282	63	3	highlights	highlight	VERB
cana-1282	63	4	the	the	DET
cana-1282	63	5	prospects	prospect	NOUN
cana-1282	63	6	of	of	ADP
cana-1282	63	7	deep	deep	ADJ
cana-1282	63	8	learning	learning	NOUN
cana-1282	63	9	in	in	ADP
cana-1282	63	10	improving	improve	VERB
cana-1282	63	11	the	the	DET
cana-1282	63	12	accuracy	accuracy	NOUN
cana-1282	63	13	and	and	CCONJ
cana-1282	63	14	application	application	NOUN
cana-1282	63	15	of	of	ADP
cana-1282	63	16	personality	personality	NOUN
cana-1282	63	17	identification	identification	NOUN
cana-1282	63	18	models	model	NOUN
cana-1282	63	19	,	,	PUNCT
cana-1282	63	20	which	which	PRON
cana-1282	63	21	can	can	AUX
cana-1282	63	22	be	be	AUX
cana-1282	63	23	particularly	particularly	ADV
cana-1282	63	24	beneficial	beneficial	ADJ
cana-1282	63	25	in	in	ADP
cana-1282	63	26	domains	domain	NOUN
cana-1282	63	27	such	such	ADJ
cana-1282	63	28	finance	finance	NOUN
cana-1282	63	29	and	and	CCONJ
cana-1282	63	30	health	health	NOUN
cana-1282	63	31	for	for	ADP
cana-1282	63	32	estimating	estimate	VERB
cana-1282	63	33	firm	firm	ADJ
cana-1282	63	34	performance	performance	NOUN
cana-1282	63	35	or	or	CCONJ
cana-1282	63	36	health	health	NOUN
cana-1282	63	37	repercussions	repercussion	NOUN
cana-1282	63	38	.	.	PUNCT
cana-1282	64	1	as	as	SCONJ
cana-1282	64	2	demonstrated	demonstrate	VERB
cana-1282	64	3	in	in	ADP
cana-1282	64	4	[	[	X
cana-1282	64	5	14	14	NUM
cana-1282	64	6	]	]	X
cana-1282	64	7	the	the	DET
cana-1282	64	8	incorporation	incorporation	NOUN
cana-1282	64	9	of	of	ADP
cana-1282	64	10	machine	machine	NOUN
cana-1282	64	11	learning	learning	NOUN
cana-1282	64	12	in	in	ADP
cana-1282	64	13	education	education	NOUN
cana-1282	64	14	transcends	transcend	VERB
cana-1282	64	15	student	student	NOUN
cana-1282	64	16	performance	performance	NOUN
cana-1282	64	17	prediction	prediction	NOUN
cana-1282	64	18	to	to	PART
cana-1282	64	19	include	include	VERB
cana-1282	64	20	course	course	NOUN
cana-1282	64	21	design	design	NOUN
cana-1282	64	22	.	.	PUNCT
cana-1282	65	1	this	this	DET
cana-1282	65	2	work	work	NOUN
cana-1282	65	3	presents	present	VERB
cana-1282	65	4	a	a	DET
cana-1282	65	5	graduate	graduate	NOUN
cana-1282	65	6	-	-	PUNCT
cana-1282	65	7	level	level	NOUN
cana-1282	65	8	course	course	NOUN
cana-1282	65	9	intended	intend	VERB
cana-1282	65	10	to	to	PART
cana-1282	65	11	teach	teach	VERB
cana-1282	65	12	chemical	chemical	ADJ
cana-1282	65	13	engineering	engineering	NOUN
cana-1282	65	14	machine	machine	NOUN
cana-1282	65	15	learning	learning	NOUN
cana-1282	65	16	methods	method	NOUN
cana-1282	65	17	.	.	PUNCT
cana-1282	66	1	emphasizing	emphasize	VERB
cana-1282	66	2	the	the	DET
cana-1282	66	3	reasons	reason	NOUN
cana-1282	66	4	,	,	PUNCT
cana-1282	66	5	derivations	derivation	NOUN
cana-1282	66	6	,	,	PUNCT
cana-1282	66	7	and	and	CCONJ
cana-1282	66	8	training	training	NOUN
cana-1282	66	9	techniques	technique	NOUN
cana-1282	66	10	of	of	ADP
cana-1282	66	11	many	many	ADJ
cana-1282	66	12	ml	ml	NOUN
cana-1282	66	13	models	model	NOUN
cana-1282	66	14	,	,	PUNCT
cana-1282	66	15	the	the	DET
cana-1282	66	16	course	course	NOUN
cana-1282	66	17	guides	guide	VERB
cana-1282	66	18	students	student	NOUN
cana-1282	66	19	in	in	ADP
cana-1282	66	20	using	use	VERB
cana-1282	66	21	these	these	DET
cana-1282	66	22	methods	method	NOUN
cana-1282	66	23	to	to	PART
cana-1282	66	24	chemerelated	chemerelated	VERB
cana-1282	66	25	datasets	dataset	NOUN
cana-1282	66	26	.	.	PUNCT
cana-1282	67	1	by	by	ADP
cana-1282	67	2	allowing	allow	VERB
cana-1282	67	3	students	student	NOUN
cana-1282	67	4	to	to	PART
cana-1282	67	5	interact	interact	VERB
cana-1282	67	6	with	with	ADP
cana-1282	67	7	the	the	DET
cana-1282	67	8	mathematical	mathematical	ADJ
cana-1282	67	9	and	and	CCONJ
cana-1282	67	10	statistical	statistical	ADJ
cana-1282	67	11	underpinnings	underpinning	NOUN
cana-1282	67	12	communications	communication	NOUN
cana-1282	67	13	on	on	ADP
cana-1282	67	14	applied	apply	VERB
cana-1282	67	15	nonlinear	nonlinear	ADJ
cana-1282	67	16	analysis	analysis	NOUN
cana-1282	67	17	issn	issn	NOUN
cana-1282	67	18	:	:	PUNCT
cana-1282	67	19	1074	1074	NUM
cana-1282	67	20	-	-	PUNCT
cana-1282	67	21	133x	133x	NUM
cana-1282	67	22	vol	vol	NOUN
cana-1282	67	23	31	31	NUM
cana-1282	67	24	no	no	NOUN
cana-1282	67	25	.	.	PUNCT
cana-1282	68	1	7s	7	NOUN
cana-1282	68	2	(	(	PUNCT
cana-1282	68	3	2024	2024	NUM
cana-1282	68	4	)	)	PUNCT
cana-1282	68	5	41	41	NUM
cana-1282	68	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1282	68	7	of	of	ADP
cana-1282	68	8	ml	ml	NOUN
cana-1282	68	9	models	model	NOUN
cana-1282	68	10	,	,	PUNCT
cana-1282	68	11	the	the	DET
cana-1282	68	12	algorithmic	algorithmic	ADJ
cana-1282	68	13	approach	approach	NOUN
cana-1282	68	14	applied	apply	VERB
cana-1282	68	15	in	in	ADP
cana-1282	68	16	this	this	DET
cana-1282	68	17	course	course	NOUN
cana-1282	68	18	helps	help	VERB
cana-1282	68	19	to	to	PART
cana-1282	68	20	increase	increase	VERB
cana-1282	68	21	their	their	PRON
cana-1282	68	22	capacity	capacity	NOUN
cana-1282	68	23	to	to	PART
cana-1282	68	24	use	use	VERB
cana-1282	68	25	ml	ml	NOUN
cana-1282	68	26	in	in	ADP
cana-1282	68	27	different	different	ADJ
cana-1282	68	28	domains	domain	NOUN
cana-1282	68	29	.	.	PUNCT
cana-1282	69	1	anonymized	anonymize	VERB
cana-1282	69	2	comments	comment	NOUN
cana-1282	69	3	showed	show	VERB
cana-1282	69	4	that	that	SCONJ
cana-1282	69	5	students	student	NOUN
cana-1282	69	6	appreciated	appreciate	VERB
cana-1282	69	7	the	the	DET
cana-1282	69	8	way	way	NOUN
cana-1282	69	9	theoretical	theoretical	ADJ
cana-1282	69	10	ideas	idea	NOUN
cana-1282	69	11	were	be	AUX
cana-1282	69	12	balanced	balance	VERB
cana-1282	69	13	with	with	ADP
cana-1282	69	14	practical	practical	ADJ
cana-1282	69	15	applications	application	NOUN
cana-1282	69	16	,	,	PUNCT
cana-1282	69	17	therefore	therefore	ADV
cana-1282	69	18	enhancing	enhance	VERB
cana-1282	69	19	their	their	PRON
cana-1282	69	20	educational	educational	ADJ
cana-1282	69	21	process	process	NOUN
cana-1282	69	22	.	.	PUNCT
cana-1282	70	1	finally	finally	ADV
cana-1282	70	2	,	,	PUNCT
cana-1282	70	3	[	[	X
cana-1282	70	4	15	15	NUM
cana-1282	70	5	]	]	X
cana-1282	70	6	looks	look	VERB
cana-1282	70	7	into	into	ADP
cana-1282	70	8	the	the	DET
cana-1282	70	9	behavioral	behavioral	ADJ
cana-1282	70	10	elements	element	NOUN
cana-1282	70	11	influencing	influence	VERB
cana-1282	70	12	digital	digital	ADJ
cana-1282	70	13	competency	competency	NOUN
cana-1282	70	14	of	of	ADP
cana-1282	70	15	business	business	NOUN
cana-1282	70	16	research	research	NOUN
cana-1282	70	17	students	student	NOUN
cana-1282	70	18	's	's	PART
cana-1282	70	19	participation	participation	NOUN
cana-1282	70	20	in	in	ADP
cana-1282	70	21	self	self	NOUN
cana-1282	70	22	-	-	PUNCT
cana-1282	70	23	directed	direct	VERB
cana-1282	70	24	learning	learning	NOUN
cana-1282	70	25	(	(	PUNCT
cana-1282	70	26	sdl	sdl	PROPN
cana-1282	70	27	)	)	PUNCT
cana-1282	70	28	.	.	PUNCT
cana-1282	71	1	using	use	VERB
cana-1282	71	2	a	a	DET
cana-1282	71	3	hypothesis	hypothesis	NOUN
cana-1282	71	4	-	-	PUNCT
cana-1282	71	5	based	base	VERB
cana-1282	71	6	research	research	NOUN
cana-1282	71	7	framework	framework	NOUN
cana-1282	71	8	,	,	PUNCT
cana-1282	71	9	the	the	DET
cana-1282	71	10	paper	paper	NOUN
cana-1282	71	11	investigates	investigate	VERB
cana-1282	71	12	elements	element	NOUN
cana-1282	71	13	like	like	ADP
cana-1282	71	14	perceived	perceive	VERB
cana-1282	71	15	utility	utility	NOUN
cana-1282	71	16	,	,	PUNCT
cana-1282	71	17	supporting	support	VERB
cana-1282	71	18	conditions	condition	NOUN
cana-1282	71	19	,	,	PUNCT
cana-1282	71	20	and	and	CCONJ
cana-1282	71	21	personal	personal	ADJ
cana-1282	71	22	inventiveness	inventiveness	NOUN
cana-1282	71	23	.	.	PUNCT
cana-1282	72	1	by	by	ADP
cana-1282	72	2	methods	method	NOUN
cana-1282	72	3	of	of	ADP
cana-1282	72	4	partial	partial	ADJ
cana-1282	72	5	least	least	ADJ
cana-1282	72	6	squares	square	NOUN
cana-1282	72	7	structural	structural	ADJ
cana-1282	72	8	equation	equation	NOUN
cana-1282	72	9	modeling	modeling	NOUN
cana-1282	72	10	(	(	PUNCT
cana-1282	72	11	pls	pls	INTJ
cana-1282	72	12	-	-	PUNCT
cana-1282	72	13	sem	sem	NOUN
cana-1282	72	14	)	)	PUNCT
cana-1282	72	15	and	and	CCONJ
cana-1282	72	16	artificial	artificial	ADJ
cana-1282	72	17	neural	neural	ADJ
cana-1282	72	18	networks	network	NOUN
cana-1282	72	19	(	(	PUNCT
cana-1282	72	20	ann	ann	PROPN
cana-1282	72	21	)	)	PUNCT
cana-1282	72	22	,	,	PUNCT
cana-1282	72	23	the	the	DET
cana-1282	72	24	study	study	NOUN
cana-1282	72	25	reveals	reveal	VERB
cana-1282	72	26	significant	significant	ADJ
cana-1282	72	27	markers	marker	NOUN
cana-1282	72	28	of	of	ADP
cana-1282	72	29	sdl	sdl	PROPN
cana-1282	72	30	behavior	behavior	PROPN
cana-1282	72	31	.	.	PUNCT
cana-1282	73	1	important	important	ADJ
cana-1282	73	2	predecessors	predecessor	NOUN
cana-1282	73	3	,	,	PUNCT
cana-1282	73	4	according	accord	VERB
cana-1282	73	5	to	to	ADP
cana-1282	73	6	the	the	DET
cana-1282	73	7	results	result	NOUN
cana-1282	73	8	,	,	PUNCT
cana-1282	73	9	are	be	AUX
cana-1282	73	10	personal	personal	ADJ
cana-1282	73	11	creativity	creativity	NOUN
cana-1282	73	12	and	and	CCONJ
cana-1282	73	13	computer	computer	NOUN
cana-1282	73	14	self	self	NOUN
cana-1282	73	15	-	-	PUNCT
cana-1282	73	16	efficacy	efficacy	NOUN
cana-1282	73	17	,	,	PUNCT
cana-1282	73	18	which	which	PRON
cana-1282	73	19	allow	allow	VERB
cana-1282	73	20	to	to	PART
cana-1282	73	21	clarify	clarify	VERB
cana-1282	73	22	the	the	DET
cana-1282	73	23	factors	factor	NOUN
cana-1282	73	24	driving	drive	VERB
cana-1282	73	25	the	the	DET
cana-1282	73	26	evolution	evolution	NOUN
cana-1282	73	27	of	of	ADP
cana-1282	73	28	digital	digital	ADJ
cana-1282	73	29	competency	competency	NOUN
cana-1282	73	30	among	among	ADP
cana-1282	73	31	pupils	pupil	NOUN
cana-1282	73	32	.	.	PUNCT
cana-1282	74	1	this	this	DET
cana-1282	74	2	paper	paper	NOUN
cana-1282	74	3	clarifies	clarify	VERB
cana-1282	74	4	sdl	sdl	NOUN
cana-1282	74	5	in	in	ADP
cana-1282	74	6	educational	educational	ADJ
cana-1282	74	7	settings	setting	NOUN
cana-1282	74	8	and	and	CCONJ
cana-1282	74	9	underlines	underline	VERB
cana-1282	74	10	the	the	DET
cana-1282	74	11	significance	significance	NOUN
cana-1282	74	12	of	of	ADP
cana-1282	74	13	including	include	VERB
cana-1282	74	14	multi	multi	ADJ
cana-1282	74	15	-	-	ADJ
cana-1282	74	16	analytical	analytical	ADJ
cana-1282	74	17	approaches	approach	NOUN
cana-1282	74	18	in	in	ADP
cana-1282	74	19	analyzing	analyze	VERB
cana-1282	74	20	complex	complex	ADJ
cana-1282	74	21	behavioral	behavioral	ADJ
cana-1282	74	22	data	datum	NOUN
cana-1282	74	23	.	.	PUNCT
cana-1282	75	1	table	table	NOUN
cana-1282	75	2	1	1	NUM
cana-1282	75	3	:	:	PUNCT
cana-1282	75	4	summary	summary	NOUN
cana-1282	75	5	reference	reference	NOUN
cana-1282	75	6	algorithm	algorithm	NOUN
cana-1282	75	7	/	/	SYM
cana-1282	75	8	methodology	methodology	NOUN
cana-1282	75	9	key	key	ADJ
cana-1282	75	10	methodology	methodology	NOUN
cana-1282	75	11	outcomes	outcome	NOUN
cana-1282	75	12	[	[	X
cana-1282	75	13	11	11	NUM
cana-1282	75	14	]	]	X
cana-1282	75	15	deep	deep	ADJ
cana-1282	75	16	neural	neural	ADJ
cana-1282	75	17	network	network	NOUN
cana-1282	75	18	,	,	PUNCT
cana-1282	75	19	landau	landau	VERB
cana-1282	75	20	transformation	transformation	NOUN
cana-1282	75	21	implicit	implicit	ADJ
cana-1282	75	22	dual	dual	ADJ
cana-1282	75	23	solution	solution	NOUN
cana-1282	75	24	framework	framework	NOUN
cana-1282	75	25	with	with	ADP
cana-1282	75	26	auxiliary	auxiliary	ADJ
cana-1282	75	27	function	function	NOUN
cana-1282	75	28	and	and	CCONJ
cana-1282	75	29	free	free	ADJ
cana-1282	75	30	boundary	boundary	ADJ
cana-1282	75	31	equations	equation	NOUN
cana-1282	75	32	efficient	efficient	ADJ
cana-1282	75	33	and	and	CCONJ
cana-1282	75	34	accurate	accurate	ADJ
cana-1282	75	35	pricing	pricing	NOUN
cana-1282	75	36	of	of	ADP
cana-1282	75	37	options	option	NOUN
cana-1282	75	38	with	with	ADP
cana-1282	75	39	early	early	ADJ
cana-1282	75	40	exercise	exercise	NOUN
cana-1282	75	41	features	feature	NOUN
cana-1282	75	42	,	,	PUNCT
cana-1282	75	43	improved	improved	ADJ
cana-1282	75	44	extraction	extraction	NOUN
cana-1282	75	45	of	of	ADP
cana-1282	75	46	early	early	ADJ
cana-1282	75	47	exercise	exercise	NOUN
cana-1282	75	48	boundaries	boundary	NOUN
cana-1282	75	49	[	[	X
cana-1282	75	50	12	12	NUM
cana-1282	75	51	]	]	X
cana-1282	75	52	teaching	teaching	NOUN
cana-1282	75	53	learning	learn	VERB
cana-1282	75	54	based	base	VERB
cana-1282	75	55	optimization	optimization	NOUN
cana-1282	75	56	(	(	PUNCT
cana-1282	75	57	tlbo	tlbo	PROPN
cana-1282	75	58	)	)	PUNCT
cana-1282	75	59	,	,	PUNCT
cana-1282	75	60	support	support	NOUN
cana-1282	75	61	vector	vector	NOUN
cana-1282	75	62	machine	machine	NOUN
cana-1282	75	63	(	(	PUNCT
cana-1282	75	64	svm	svm	ADJ
cana-1282	75	65	)	)	PUNCT
cana-1282	75	66	feature	feature	NOUN
cana-1282	75	67	selection	selection	NOUN
cana-1282	75	68	influenced	influence	VERB
cana-1282	75	69	by	by	ADP
cana-1282	75	70	tlbo	tlbo	PROPN
cana-1282	75	71	,	,	PUNCT
cana-1282	75	72	hyperparameter	hyperparameter	NOUN
cana-1282	75	73	tuning	tuning	NOUN
cana-1282	75	74	of	of	ADP
cana-1282	75	75	svm	svm	PROPN
cana-1282	75	76	improved	improve	VERB
cana-1282	75	77	svm	svm	ADJ
cana-1282	75	78	accuracy	accuracy	NOUN
cana-1282	75	79	from	from	ADP
cana-1282	75	80	74.37	74.37	NUM
cana-1282	75	81	%	%	NOUN
cana-1282	75	82	to	to	ADP
cana-1282	75	83	87.8	87.8	NUM
cana-1282	75	84	%	%	NOUN
cana-1282	75	85	in	in	ADP
cana-1282	75	86	predicting	predict	VERB
cana-1282	75	87	employability	employability	NOUN
cana-1282	75	88	[	[	X
cana-1282	75	89	13	13	NUM
cana-1282	75	90	]	]	PUNCT
cana-1282	75	91	transfer	transfer	NOUN
cana-1282	75	92	learning	learning	NOUN
cana-1282	75	93	,	,	PUNCT
cana-1282	75	94	hierarchical	hierarchical	ADJ
cana-1282	75	95	attention	attention	NOUN
cana-1282	75	96	networks	network	NOUN
cana-1282	75	97	integration	integration	NOUN
cana-1282	75	98	of	of	ADP
cana-1282	75	99	psycholinguistic	psycholinguistic	ADJ
cana-1282	75	100	theories	theory	NOUN
cana-1282	75	101	with	with	ADP
cana-1282	75	102	deep	deep	ADJ
cana-1282	75	103	learning	learning	NOUN
cana-1282	75	104	enhanced	enhance	VERB
cana-1282	75	105	accuracy	accuracy	NOUN
cana-1282	75	106	of	of	ADP
cana-1282	75	107	text	text	NOUN
cana-1282	75	108	-	-	PUNCT
cana-1282	75	109	based	base	VERB
cana-1282	75	110	personality	personality	NOUN
cana-1282	75	111	detection	detection	NOUN
cana-1282	75	112	by	by	ADP
cana-1282	75	113	10–20	10–20	NUM
cana-1282	75	114	percentage	percentage	NOUN
cana-1282	75	115	points	point	NOUN
cana-1282	75	116	[	[	X
cana-1282	75	117	14	14	NUM
cana-1282	75	118	]	]	X
cana-1282	75	119	diverse	diverse	ADJ
cana-1282	75	120	ml	ml	NOUN
cana-1282	75	121	models	model	NOUN
cana-1282	75	122	course	course	NOUN
cana-1282	75	123	design	design	NOUN
cana-1282	75	124	integrating	integrate	VERB
cana-1282	75	125	ml	ml	NOUN
cana-1282	75	126	motivations	motivation	NOUN
cana-1282	75	127	,	,	PUNCT
cana-1282	75	128	derivations	derivation	NOUN
cana-1282	75	129	,	,	PUNCT
cana-1282	75	130	and	and	CCONJ
cana-1282	75	131	applications	application	NOUN
cana-1282	75	132	in	in	ADP
cana-1282	75	133	cheme	cheme	ADJ
cana-1282	75	134	improved	improve	VERB
cana-1282	75	135	student	student	NOUN
cana-1282	75	136	engagement	engagement	NOUN
cana-1282	75	137	and	and	CCONJ
cana-1282	75	138	understanding	understanding	NOUN
cana-1282	75	139	of	of	ADP
cana-1282	75	140	ml	ml	NOUN
cana-1282	75	141	applications	application	NOUN
cana-1282	75	142	in	in	ADP
cana-1282	75	143	chemical	chemical	ADJ
cana-1282	75	144	engineering	engineering	NOUN
cana-1282	76	1	[	[	X
cana-1282	76	2	15	15	NUM
cana-1282	76	3	]	]	X
cana-1282	76	4	partial	partial	ADJ
cana-1282	76	5	least	least	ADJ
cana-1282	76	6	squares	square	VERB
cana-1282	76	7	structural	structural	ADJ
cana-1282	76	8	equation	equation	NOUN
cana-1282	76	9	modeling	modeling	NOUN
cana-1282	76	10	(	(	PUNCT
cana-1282	76	11	pls	pls	INTJ
cana-1282	76	12	-	-	PUNCT
cana-1282	76	13	sem	sem	NOUN
cana-1282	76	14	)	)	PUNCT
cana-1282	76	15	,	,	PUNCT
cana-1282	76	16	artificial	artificial	ADJ
cana-1282	76	17	neural	neural	ADJ
cana-1282	76	18	network	network	NOUN
cana-1282	76	19	(	(	PUNCT
cana-1282	76	20	ann	ann	PROPN
cana-1282	76	21	)	)	PUNCT
cana-1282	76	22	multi	multi	ADJ
cana-1282	76	23	-	-	ADJ
cana-1282	76	24	analytical	analytical	ADJ
cana-1282	76	25	approach	approach	NOUN
cana-1282	76	26	to	to	PART
cana-1282	76	27	assess	assess	VERB
cana-1282	76	28	digital	digital	ADJ
cana-1282	76	29	competence	competence	NOUN
cana-1282	76	30	identified	identify	VERB
cana-1282	76	31	key	key	ADJ
cana-1282	76	32	predictors	predictor	NOUN
cana-1282	76	33	of	of	ADP
cana-1282	76	34	self	self	NOUN
cana-1282	76	35	-	-	PUNCT
cana-1282	76	36	directed	direct	VERB
cana-1282	76	37	learning	learning	NOUN
cana-1282	76	38	,	,	PUNCT
cana-1282	76	39	insights	insight	NOUN
cana-1282	76	40	into	into	ADP
cana-1282	76	41	enhancing	enhance	VERB
cana-1282	76	42	digital	digital	ADJ
cana-1282	76	43	competence	competence	NOUN
cana-1282	76	44	despite	despite	SCONJ
cana-1282	76	45	the	the	DET
cana-1282	76	46	advancements	advancement	NOUN
cana-1282	76	47	in	in	ADP
cana-1282	76	48	these	these	DET
cana-1282	76	49	fields	field	NOUN
cana-1282	76	50	,	,	PUNCT
cana-1282	76	51	there	there	PRON
cana-1282	76	52	is	be	VERB
cana-1282	76	53	an	an	DET
cana-1282	76	54	obvious	obvious	ADJ
cana-1282	76	55	research	research	NOUN
cana-1282	76	56	void	void	NOUN
cana-1282	76	57	in	in	ADP
cana-1282	76	58	the	the	DET
cana-1282	76	59	integration	integration	NOUN
cana-1282	76	60	of	of	ADP
cana-1282	76	61	deep	deep	ADJ
cana-1282	76	62	learning	learning	NOUN
cana-1282	76	63	models	model	NOUN
cana-1282	76	64	with	with	ADP
cana-1282	76	65	easily	easily	ADV
cana-1282	76	66	understandable	understandable	ADJ
cana-1282	76	67	interpretable	interpretable	ADJ
cana-1282	76	68	platforms	platform	NOUN
cana-1282	76	69	for	for	ADP
cana-1282	76	70	teachers	teacher	NOUN
cana-1282	76	71	and	and	CCONJ
cana-1282	76	72	stakeholders	stakeholder	NOUN
cana-1282	76	73	.	.	PUNCT
cana-1282	77	1	though	though	SCONJ
cana-1282	77	2	some	some	DET
cana-1282	77	3	alternative	alternative	ADJ
cana-1282	77	4	models	model	NOUN
cana-1282	77	5	notably	notably	ADV
cana-1282	77	6	deep	deep	ADJ
cana-1282	77	7	attention	attention	NOUN
cana-1282	77	8	resnet	resnet	NOUN
cana-1282	77	9	demonstrate	demonstrate	VERB
cana-1282	77	10	higher	high	ADJ
cana-1282	77	11	performance	performance	NOUN
cana-1282	77	12	,	,	PUNCT
cana-1282	77	13	their	their	PRON
cana-1282	77	14	complexity	complexity	NOUN
cana-1282	77	15	often	often	ADV
cana-1282	77	16	makes	make	VERB
cana-1282	77	17	interpretation	interpretation	NOUN
cana-1282	77	18	challenging	challenging	ADJ
cana-1282	77	19	.	.	PUNCT
cana-1282	78	1	future	future	ADJ
cana-1282	78	2	research	research	NOUN
cana-1282	78	3	should	should	AUX
cana-1282	78	4	especially	especially	ADV
cana-1282	78	5	focus	focus	VERB
cana-1282	78	6	on	on	ADP
cana-1282	78	7	communications	communication	NOUN
cana-1282	78	8	on	on	ADP
cana-1282	78	9	applied	apply	VERB
cana-1282	78	10	nonlinear	nonlinear	ADJ
cana-1282	78	11	analysis	analysis	NOUN
cana-1282	78	12	issn	issn	NOUN
cana-1282	78	13	:	:	PUNCT
cana-1282	78	14	1074	1074	NUM
cana-1282	78	15	-	-	PUNCT
cana-1282	78	16	133x	133x	NUM
cana-1282	78	17	vol	vol	NOUN
cana-1282	78	18	31	31	NUM
cana-1282	78	19	no	no	NOUN
cana-1282	78	20	.	.	PUNCT
cana-1282	79	1	7s	7	NOUN
cana-1282	79	2	(	(	PUNCT
cana-1282	79	3	2024	2024	NUM
cana-1282	79	4	)	)	PUNCT
cana-1282	79	5	42	42	NUM
cana-1282	79	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1282	79	7	developing	develop	VERB
cana-1282	79	8	techniques	technique	NOUN
cana-1282	79	9	that	that	PRON
cana-1282	79	10	balance	balance	VERB
cana-1282	79	11	predictive	predictive	ADJ
cana-1282	79	12	power	power	NOUN
cana-1282	79	13	with	with	ADP
cana-1282	79	14	transparency	transparency	NOUN
cana-1282	79	15	so	so	ADV
cana-1282	79	16	ensuring	ensure	VERB
cana-1282	79	17	that	that	SCONJ
cana-1282	79	18	insights	insight	NOUN
cana-1282	79	19	derived	derive	VERB
cana-1282	79	20	from	from	ADP
cana-1282	79	21	these	these	DET
cana-1282	79	22	models	model	NOUN
cana-1282	79	23	are	be	AUX
cana-1282	79	24	actionable	actionable	ADJ
cana-1282	79	25	and	and	CCONJ
cana-1282	79	26	easily	easily	ADV
cana-1282	79	27	comprehensible	comprehensible	ADJ
cana-1282	79	28	,	,	PUNCT
cana-1282	79	29	especially	especially	ADV
cana-1282	79	30	in	in	ADP
cana-1282	79	31	educational	educational	ADJ
cana-1282	79	32	environments	environment	NOUN
cana-1282	79	33	where	where	SCONJ
cana-1282	79	34	stakeholders	stakeholder	NOUN
cana-1282	79	35	need	need	VERB
cana-1282	79	36	clear	clear	ADJ
cana-1282	79	37	,	,	PUNCT
cana-1282	79	38	easily	easily	ADV
cana-1282	79	39	understandable	understandable	ADJ
cana-1282	79	40	outputs	output	NOUN
cana-1282	79	41	to	to	PART
cana-1282	79	42	make	make	VERB
cana-1282	79	43	informed	informed	ADJ
cana-1282	79	44	decisions	decision	NOUN
cana-1282	79	45	.	.	PUNCT
cana-1282	80	1	3	3	X
cana-1282	80	2	.	.	NUM
cana-1282	80	3	proposed	propose	VERB
cana-1282	80	4	method	method	NOUN
cana-1282	80	5	by	by	ADP
cana-1282	80	6	use	use	NOUN
cana-1282	80	7	of	of	ADP
cana-1282	80	8	a	a	DET
cana-1282	80	9	deep	deep	ADJ
cana-1282	80	10	residual	residual	ADJ
cana-1282	80	11	attention	attention	NOUN
cana-1282	80	12	network	network	NOUN
cana-1282	80	13	(	(	PUNCT
cana-1282	80	14	dran	dran	PROPN
cana-1282	80	15	)	)	PUNCT
cana-1282	80	16	,	,	PUNCT
cana-1282	80	17	created	create	VERB
cana-1282	80	18	and	and	CCONJ
cana-1282	80	19	implemented	implement	VERB
cana-1282	80	20	as	as	ADP
cana-1282	80	21	in	in	ADP
cana-1282	80	22	figure	figure	NOUN
cana-1282	80	23	1	1	NUM
cana-1282	80	24	,	,	PUNCT
cana-1282	80	25	the	the	DET
cana-1282	80	26	proposed	propose	VERB
cana-1282	80	27	approach	approach	NOUN
cana-1282	80	28	analyzes	analyze	VERB
cana-1282	80	29	and	and	CCONJ
cana-1282	80	30	enhances	enhance	VERB
cana-1282	80	31	educational	educational	ADJ
cana-1282	80	32	results	result	NOUN
cana-1282	80	33	in	in	ADP
cana-1282	80	34	mba	mba	NOUN
cana-1282	80	35	courses	course	NOUN
cana-1282	80	36	.	.	PUNCT
cana-1282	81	1	data	datum	NOUN
cana-1282	81	2	collecting	collecting	NOUN
cana-1282	81	3	begins	begin	VERB
cana-1282	81	4	the	the	DET
cana-1282	81	5	process	process	NOUN
cana-1282	81	6	;	;	PUNCT
cana-1282	81	7	grades	grade	NOUN
cana-1282	81	8	,	,	PUNCT
cana-1282	81	9	attendance	attendance	NOUN
cana-1282	81	10	,	,	PUNCT
cana-1282	81	11	involvement	involvement	NOUN
cana-1282	81	12	,	,	PUNCT
cana-1282	81	13	and	and	CCONJ
cana-1282	81	14	demographic	demographic	ADJ
cana-1282	81	15	data	datum	NOUN
cana-1282	81	16	—	—	PUNCT
cana-1282	81	17	related	relate	VERB
cana-1282	81	18	to	to	ADP
cana-1282	81	19	students	student	NOUN
cana-1282	81	20	—	—	PUNCT
cana-1282	81	21	are	be	AUX
cana-1282	81	22	compiled	compile	VERB
cana-1282	81	23	.	.	PUNCT
cana-1282	82	1	data	datum	NOUN
cana-1282	82	2	preprocessing	preprocessing	NOUN
cana-1282	82	3	guarantees	guarantee	VERB
cana-1282	82	4	relevant	relevant	ADJ
cana-1282	82	5	inputs	input	NOUN
cana-1282	82	6	for	for	ADP
cana-1282	82	7	the	the	DET
cana-1282	82	8	model	model	NOUN
cana-1282	82	9	by	by	ADP
cana-1282	82	10	means	mean	NOUN
cana-1282	82	11	of	of	ADP
cana-1282	82	12	feature	feature	NOUN
cana-1282	82	13	selection	selection	NOUN
cana-1282	82	14	,	,	PUNCT
cana-1282	82	15	normalizing	normalize	VERB
cana-1282	82	16	of	of	ADP
cana-1282	82	17	features	feature	NOUN
cana-1282	82	18	,	,	PUNCT
cana-1282	82	19	and	and	CCONJ
cana-1282	82	20	management	management	NOUN
cana-1282	82	21	of	of	ADP
cana-1282	82	22	missing	miss	VERB
cana-1282	82	23	values	value	NOUN
cana-1282	82	24	.	.	PUNCT
cana-1282	83	1	the	the	DET
cana-1282	83	2	dran	dran	PROPN
cana-1282	83	3	model	model	NOUN
cana-1282	83	4	avoids	avoid	VERB
cana-1282	83	5	unnecessary	unnecessary	ADJ
cana-1282	83	6	layers	layer	NOUN
cana-1282	83	7	by	by	ADP
cana-1282	83	8	aggregating	aggregate	VERB
cana-1282	83	9	residual	residual	ADJ
cana-1282	83	10	learning	learning	NOUN
cana-1282	83	11	—	—	PUNCT
cana-1282	83	12	which	which	PRON
cana-1282	83	13	trains	train	VERB
cana-1282	83	14	deeper	deep	ADJ
cana-1282	83	15	networks	network	NOUN
cana-1282	83	16	—	—	PUNCT
cana-1282	83	17	with	with	ADP
cana-1282	83	18	attention	attention	NOUN
cana-1282	83	19	mechanisms	mechanism	NOUN
cana-1282	83	20	enabling	enable	VERB
cana-1282	83	21	the	the	DET
cana-1282	83	22	model	model	NOUN
cana-1282	83	23	to	to	PART
cana-1282	83	24	focus	focus	VERB
cana-1282	83	25	on	on	ADP
cana-1282	83	26	critical	critical	ADJ
cana-1282	83	27	data	datum	NOUN
cana-1282	83	28	characteristics	characteristic	NOUN
cana-1282	83	29	.	.	PUNCT
cana-1282	84	1	the	the	DET
cana-1282	84	2	network	network	NOUN
cana-1282	84	3	is	be	AUX
cana-1282	84	4	taught	teach	VERB
cana-1282	84	5	to	to	PART
cana-1282	84	6	lower	low	ADJ
cana-1282	84	7	prediction	prediction	NOUN
cana-1282	84	8	error	error	NOUN
cana-1282	84	9	for	for	ADP
cana-1282	84	10	student	student	NOUN
cana-1282	84	11	performance	performance	NOUN
cana-1282	84	12	outcomes	outcome	NOUN
cana-1282	84	13	by	by	ADP
cana-1282	84	14	use	use	NOUN
cana-1282	84	15	of	of	ADP
cana-1282	84	16	a	a	DET
cana-1282	84	17	loss	loss	NOUN
cana-1282	84	18	function	function	NOUN
cana-1282	84	19	such	such	ADJ
cana-1282	84	20	mean	mean	NOUN
cana-1282	84	21	squared	square	VERB
cana-1282	84	22	error	error	NOUN
cana-1282	84	23	.	.	PUNCT
cana-1282	85	1	once	once	ADV
cana-1282	85	2	taught	teach	VERB
cana-1282	85	3	,	,	PUNCT
cana-1282	85	4	the	the	DET
cana-1282	85	5	algorithm	algorithm	NOUN
cana-1282	85	6	creates	create	VERB
cana-1282	85	7	personalized	personalized	ADJ
cana-1282	85	8	learning	learn	VERB
cana-1282	85	9	recommendations	recommendation	NOUN
cana-1282	85	10	and	and	CCONJ
cana-1282	85	11	suggests	suggest	VERB
cana-1282	85	12	targeted	target	VERB
cana-1282	85	13	interventions	intervention	NOUN
cana-1282	85	14	based	base	VERB
cana-1282	85	15	on	on	ADP
cana-1282	85	16	student	student	NOUN
cana-1282	85	17	data	datum	NOUN
cana-1282	85	18	trends	trend	NOUN
cana-1282	85	19	.	.	PUNCT
cana-1282	86	1	the	the	DET
cana-1282	86	2	attention	attention	NOUN
cana-1282	86	3	mechanism	mechanism	NOUN
cana-1282	86	4	highlights	highlight	VERB
cana-1282	86	5	key	key	ADJ
cana-1282	86	6	factors	factor	NOUN
cana-1282	86	7	affecting	affect	VERB
cana-1282	86	8	student	student	NOUN
cana-1282	86	9	performance	performance	NOUN
cana-1282	86	10	,	,	PUNCT
cana-1282	86	11	therefore	therefore	ADV
cana-1282	86	12	providing	provide	VERB
cana-1282	86	13	teachers	teacher	NOUN
cana-1282	86	14	with	with	ADP
cana-1282	86	15	knowledge	knowledge	NOUN
cana-1282	86	16	of	of	ADP
cana-1282	86	17	areas	area	NOUN
cana-1282	86	18	requiring	require	VERB
cana-1282	86	19	improvement	improvement	NOUN
cana-1282	86	20	.	.	PUNCT
cana-1282	87	1	the	the	DET
cana-1282	87	2	performance	performance	NOUN
cana-1282	87	3	of	of	ADP
cana-1282	87	4	the	the	DET
cana-1282	87	5	model	model	NOUN
cana-1282	87	6	is	be	AUX
cana-1282	87	7	evaluated	evaluate	VERB
cana-1282	87	8	using	use	VERB
cana-1282	87	9	accuracy	accuracy	NOUN
cana-1282	87	10	and	and	CCONJ
cana-1282	87	11	precision	precision	NOUN
cana-1282	87	12	;	;	PUNCT
cana-1282	87	13	its	its	PRON
cana-1282	87	14	recommendations	recommendation	NOUN
cana-1282	87	15	are	be	AUX
cana-1282	87	16	examined	examine	VERB
cana-1282	87	17	for	for	ADP
cana-1282	87	18	impact	impact	NOUN
cana-1282	87	19	on	on	ADP
cana-1282	87	20	actual	actual	ADJ
cana-1282	87	21	student	student	NOUN
cana-1282	87	22	performance	performance	NOUN
cana-1282	87	23	improvements	improvement	NOUN
cana-1282	87	24	.	.	PUNCT
cana-1282	88	1	figure	figure	NOUN
cana-1282	88	2	1	1	NUM
cana-1282	88	3	:	:	PUNCT
cana-1282	88	4	proposed	propose	VERB
cana-1282	88	5	flow	flow	NOUN
cana-1282	88	6	pseudocode	pseudocode	PROPN
cana-1282	88	7	#	#	NOUN
cana-1282	88	8	import	import	NOUN
cana-1282	88	9	necessary	necessary	ADJ
cana-1282	88	10	libraries	library	NOUN
cana-1282	88	11	import	import	NOUN
cana-1282	88	12	numpy	numpy	NOUN
cana-1282	88	13	as	as	ADP
cana-1282	88	14	np	np	ADP
cana-1282	88	15	import	import	NOUN
cana-1282	88	16	tensorflow	tensorflow	NOUN
cana-1282	88	17	as	as	ADP
cana-1282	88	18	tf	tf	NUM
cana-1282	88	19	from	from	ADP
cana-1282	88	20	tensorflow.keras.layers	tensorflow.keras.layer	NOUN
cana-1282	88	21	import	import	VERB
cana-1282	88	22	input	input	NOUN
cana-1282	88	23	,	,	PUNCT
cana-1282	88	24	dense	dense	ADJ
cana-1282	88	25	,	,	PUNCT
cana-1282	88	26	dropout	dropout	NOUN
cana-1282	88	27	,	,	PUNCT
cana-1282	88	28	attention	attention	NOUN
cana-1282	88	29	,	,	PUNCT
cana-1282	88	30	add	add	VERB
cana-1282	88	31	from	from	ADP
cana-1282	88	32	tensorflow.keras.models	tensorflow.keras.model	NOUN
cana-1282	88	33	import	import	NOUN
cana-1282	88	34	model	model	NOUN
cana-1282	88	35	training	training	NOUN
cana-1282	88	36	split	split	VERB
cana-1282	88	37	data	datum	NOUN
cana-1282	88	38	into	into	ADP
cana-1282	88	39	training	training	NOUN
cana-1282	88	40	,	,	PUNCT
cana-1282	88	41	validation	validation	NOUN
cana-1282	88	42	,	,	PUNCT
cana-1282	88	43	and	and	CCONJ
cana-1282	88	44	test	test	NOUN
cana-1282	88	45	sets	set	NOUN
cana-1282	88	46	.	.	PUNCT
cana-1282	89	1	train	train	VERB
cana-1282	89	2	the	the	DET
cana-1282	89	3	dran	dran	ADJ
cana-1282	89	4	model	model	NOUN
cana-1282	89	5	using	use	VERB
cana-1282	89	6	a	a	DET
cana-1282	89	7	suitable	suitable	ADJ
cana-1282	89	8	loss	loss	NOUN
cana-1282	89	9	function	function	NOUN
cana-1282	89	10	.	.	PUNCT
cana-1282	90	1	adjust	adjust	VERB
cana-1282	90	2	hyperparameters	hyperparameter	NOUN
cana-1282	90	3	for	for	ADP
cana-1282	90	4	optimal	optimal	ADJ
cana-1282	90	5	performance	performance	NOUN
cana-1282	90	6	.	.	PUNCT
cana-1282	91	1	model	model	NOUN
cana-1282	91	2	architecture	architecture	NOUN
cana-1282	91	3	design	design	VERB
cana-1282	91	4	a	a	DET
cana-1282	91	5	deep	deep	ADJ
cana-1282	91	6	residual	residual	ADJ
cana-1282	91	7	network	network	NOUN
cana-1282	91	8	(	(	PUNCT
cana-1282	91	9	resnet	resnet	NOUN
cana-1282	91	10	)	)	PUNCT
cana-1282	91	11	with	with	ADP
cana-1282	91	12	attention	attention	NOUN
cana-1282	91	13	layers	layer	NOUN
cana-1282	91	14	.	.	PUNCT
cana-1282	92	1	integrate	integrate	VERB
cana-1282	92	2	attention	attention	NOUN
cana-1282	92	3	mechanisms	mechanism	NOUN
cana-1282	92	4	to	to	PART
cana-1282	92	5	focus	focus	VERB
cana-1282	92	6	on	on	ADP
cana-1282	92	7	important	important	ADJ
cana-1282	92	8	features	feature	NOUN
cana-1282	92	9	.	.	PUNCT
cana-1282	93	1	data	datum	NOUN
cana-1282	93	2	collection	collection	NOUN
cana-1282	93	3	and	and	CCONJ
cana-1282	93	4	preprocessing	preprocessing	NOUN
cana-1282	93	5	collect	collect	NOUN
cana-1282	93	6	student	student	NOUN
cana-1282	93	7	data	datum	NOUN
cana-1282	93	8	(	(	PUNCT
cana-1282	93	9	grades	grade	NOUN
cana-1282	93	10	,	,	PUNCT
cana-1282	93	11	attendance	attendance	NOUN
cana-1282	93	12	,	,	PUNCT
cana-1282	93	13	participation	participation	NOUN
cana-1282	93	14	)	)	PUNCT
cana-1282	93	15	.	.	PUNCT
cana-1282	94	1	handle	handle	VERB
cana-1282	94	2	missing	miss	VERB
cana-1282	94	3	values	value	NOUN
cana-1282	94	4	and	and	CCONJ
cana-1282	94	5	normalize	normalize	VERB
cana-1282	94	6	data	datum	NOUN
cana-1282	94	7	.	.	PUNCT
cana-1282	95	1	perform	perform	VERB
cana-1282	95	2	feature	feature	NOUN
cana-1282	95	3	selection	selection	NOUN
cana-1282	95	4	for	for	ADP
cana-1282	95	5	relevant	relevant	ADJ
cana-1282	95	6	attributes	attribute	NOUN
cana-1282	95	7	.	.	PUNCT
cana-1282	96	1	communications	communication	NOUN
cana-1282	96	2	on	on	ADP
cana-1282	96	3	applied	apply	VERB
cana-1282	96	4	nonlinear	nonlinear	ADJ
cana-1282	96	5	analysis	analysis	NOUN
cana-1282	96	6	issn	issn	NOUN
cana-1282	96	7	:	:	PUNCT
cana-1282	96	8	1074	1074	NUM
cana-1282	96	9	-	-	PUNCT
cana-1282	96	10	133x	133x	NUM
cana-1282	96	11	vol	vol	NOUN
cana-1282	96	12	31	31	NUM
cana-1282	96	13	no	no	NOUN
cana-1282	96	14	.	.	PUNCT
cana-1282	97	1	7s	7	NOUN
cana-1282	97	2	(	(	PUNCT
cana-1282	97	3	2024	2024	NUM
cana-1282	97	4	)	)	PUNCT
cana-1282	97	5	43	43	NUM
cana-1282	97	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1282	97	7	#	#	NOUN
cana-1282	97	8	data	datum	NOUN
cana-1282	97	9	collection	collection	NOUN
cana-1282	97	10	and	and	CCONJ
cana-1282	97	11	preprocessing	preprocesse	VERB
cana-1282	97	12	data	datum	NOUN
cana-1282	97	13	=	=	SYM
cana-1282	97	14	load_student_data	load_student_data	NUM
cana-1282	97	15	(	(	PUNCT
cana-1282	97	16	)	)	PUNCT
cana-1282	97	17	#	#	NOUN
cana-1282	97	18	load	load	NOUN
cana-1282	97	19	student	student	NOUN
cana-1282	97	20	data	datum	NOUN
cana-1282	97	21	data	datum	NOUN
cana-1282	97	22	=	=	SYM
cana-1282	97	23	preprocess_data(data	preprocess_data(data	PROPN
cana-1282	97	24	)	)	PUNCT
cana-1282	97	25	#	#	NOUN
cana-1282	97	26	normalize	normalize	VERB
cana-1282	97	27	and	and	CCONJ
cana-1282	97	28	select	select	ADJ
cana-1282	97	29	features	feature	NOUN
cana-1282	97	30	#	#	NOUN
cana-1282	97	31	define	define	VERB
cana-1282	97	32	the	the	DET
cana-1282	97	33	deep	deep	ADJ
cana-1282	97	34	residual	residual	ADJ
cana-1282	97	35	attention	attention	NOUN
cana-1282	97	36	network	network	NOUN
cana-1282	97	37	def	def	PROPN
cana-1282	97	38	build_dran(input_shape	build_dran(input_shape	PROPN
cana-1282	97	39	):	):	PUNCT
cana-1282	97	40	inputs	input	NOUN
cana-1282	97	41	=	=	SYM
cana-1282	97	42	input(shape	input(shape	NOUN
cana-1282	97	43	=	=	SYM
cana-1282	97	44	input_shape	input_shape	NOUN
cana-1282	97	45	)	)	PUNCT
cana-1282	97	46	#	#	NOUN
cana-1282	97	47	residual	residual	ADJ
cana-1282	97	48	block	block	NOUN
cana-1282	97	49	x	x	NOUN
cana-1282	97	50	=	=	SYM
cana-1282	97	51	dense(64	dense(64	NOUN
cana-1282	97	52	,	,	PUNCT
cana-1282	97	53	activation='relu')(inputs	activation='relu')(input	NOUN
cana-1282	97	54	)	)	PUNCT
cana-1282	97	55	x	x	X
cana-1282	98	1	=	=	SYM
cana-1282	98	2	dropout(0.5)(x	dropout(0.5)(x	PROPN
cana-1282	98	3	)	)	PUNCT
cana-1282	98	4	x	x	X
cana-1282	99	1	=	=	PUNCT
cana-1282	99	2	dense(64	dense(64	NOUN
cana-1282	99	3	,	,	PUNCT
cana-1282	99	4	activation='relu')(x	activation='relu')(x	NOUN
cana-1282	99	5	)	)	PUNCT
cana-1282	99	6	#	#	NOUN
cana-1282	99	7	add	add	VERB
cana-1282	99	8	residual	residual	ADJ
cana-1282	99	9	connection	connection	NOUN
cana-1282	99	10	res	re	NOUN
cana-1282	99	11	=	=	PUNCT
cana-1282	99	12	add()([inputs	add()([input	NOUN
cana-1282	99	13	,	,	PUNCT
cana-1282	99	14	x	x	NOUN
cana-1282	99	15	]	]	X
cana-1282	99	16	)	)	PUNCT
cana-1282	99	17	#	#	NOUN
cana-1282	99	18	attention	attention	NOUN
cana-1282	99	19	layer	layer	NOUN
cana-1282	99	20	attention	attention	NOUN
cana-1282	99	21	=	=	PUNCT
cana-1282	99	22	attention()([res	attention()([re	NOUN
cana-1282	99	23	,	,	PUNCT
cana-1282	99	24	res	re	NOUN
cana-1282	99	25	]	]	PUNCT
cana-1282	99	26	)	)	PUNCT
cana-1282	99	27	#	#	NOUN
cana-1282	99	28	output	output	NOUN
cana-1282	99	29	layer	layer	NOUN
cana-1282	99	30	outputs	output	NOUN
cana-1282	99	31	=	=	SYM
cana-1282	99	32	dense(1	dense(1	PROPN
cana-1282	99	33	,	,	PUNCT
cana-1282	99	34	activation='linear')(attention	activation='linear')(attention	PROPN
cana-1282	99	35	)	)	PUNCT
cana-1282	99	36	model	model	NOUN
cana-1282	99	37	=	=	SYM
cana-1282	99	38	model(inputs	model(inputs	PROPN
cana-1282	99	39	,	,	PUNCT
cana-1282	99	40	outputs	output	NOUN
cana-1282	99	41	)	)	PUNCT
cana-1282	99	42	model.compile(optimizer='adam	model.compile(optimizer='adam	NOUN
cana-1282	99	43	'	'	PUNCT
cana-1282	99	44	,	,	PUNCT
cana-1282	99	45	loss='mean_squared_error	loss='mean_squared_error	NOUN
cana-1282	99	46	'	'	PUNCT
cana-1282	99	47	,	,	PUNCT
cana-1282	99	48	metrics=['accuracy	metrics=['accuracy	NOUN
cana-1282	99	49	'	'	PUNCT
cana-1282	99	50	]	]	PUNCT
cana-1282	99	51	)	)	PUNCT
cana-1282	99	52	return	return	VERB
cana-1282	99	53	model	model	NOUN
cana-1282	99	54	#	#	NOUN
cana-1282	99	55	initialize	initialize	NOUN
cana-1282	99	56	and	and	CCONJ
cana-1282	99	57	train	train	VERB
cana-1282	99	58	the	the	DET
cana-1282	99	59	model	model	NOUN
cana-1282	99	60	input_shape	input_shape	NOUN
cana-1282	99	61	=	=	PUNCT
cana-1282	99	62	data.shape[1	data.shape[1	X
cana-1282	99	63	]	]	X
cana-1282	99	64	#	#	NOUN
cana-1282	99	65	number	number	NOUN
cana-1282	99	66	of	of	ADP
cana-1282	99	67	features	feature	NOUN
cana-1282	99	68	model	model	NOUN
cana-1282	99	69	=	=	SYM
cana-1282	99	70	build_dran(input_shape	build_dran(input_shape	NOUN
cana-1282	99	71	)	)	PUNCT
cana-1282	99	72	x_train	x_train	PROPN
cana-1282	99	73	,	,	PUNCT
cana-1282	99	74	x_val	x_val	PROPN
cana-1282	99	75	,	,	PUNCT
cana-1282	99	76	x_test	x_test	NUM
cana-1282	99	77	,	,	PUNCT
cana-1282	99	78	y_train	y_train	PROPN
cana-1282	99	79	,	,	PUNCT
cana-1282	99	80	y_val	y_val	NOUN
cana-1282	99	81	,	,	PUNCT
cana-1282	99	82	y_test	y_t	ADJ
cana-1282	99	83	=	=	PUNCT
cana-1282	99	84	split_data(data	split_data(data	PROPN
cana-1282	99	85	)	)	PUNCT
cana-1282	99	86	model.fit(x_train	model.fit(x_train	NOUN
cana-1282	99	87	,	,	PUNCT
cana-1282	99	88	y_train	y_train	PRON
cana-1282	99	89	,	,	PUNCT
cana-1282	99	90	validation_data=(x_val	validation_data=(x_val	ADJ
cana-1282	99	91	,	,	PUNCT
cana-1282	99	92	y_val	y_val	NOUN
cana-1282	99	93	)	)	PUNCT
cana-1282	99	94	,	,	PUNCT
cana-1282	99	95	epochs=50	epochs=50	NOUN
cana-1282	99	96	,	,	PUNCT
cana-1282	99	97	batch_size=32	batch_size=32	NOUN
cana-1282	99	98	)	)	PUNCT
cana-1282	99	99	#	#	NOUN
cana-1282	99	100	evaluate	evaluate	VERB
cana-1282	99	101	the	the	DET
cana-1282	99	102	model	model	NOUN
cana-1282	99	103	accuracy	accuracy	NOUN
cana-1282	99	104	=	=	X
cana-1282	99	105	model.evaluate(x_test	model.evaluate(x_test	X
cana-1282	99	106	,	,	PUNCT
cana-1282	99	107	y_test	y_test	X
cana-1282	99	108	)	)	PUNCT
cana-1282	100	1	4	4	X
cana-1282	100	2	.	.	X
cana-1282	100	3	preprocessing	preprocesse	VERB
cana-1282	100	4	in	in	ADP
cana-1282	100	5	deep	deep	ADJ
cana-1282	100	6	learning	learning	NOUN
cana-1282	100	7	for	for	ADP
cana-1282	100	8	mba	mba	NOUN
cana-1282	100	9	education	education	NOUN
cana-1282	100	10	deep	deep	ADJ
cana-1282	100	11	learning	learning	NOUN
cana-1282	100	12	models	model	NOUN
cana-1282	100	13	used	use	VERB
cana-1282	100	14	to	to	ADP
cana-1282	100	15	educational	educational	ADJ
cana-1282	100	16	data	datum	NOUN
cana-1282	100	17	depend	depend	VERB
cana-1282	100	18	on	on	ADP
cana-1282	100	19	preprocessing	preprocessing	NOUN
cana-1282	100	20	,	,	PUNCT
cana-1282	100	21	which	which	PRON
cana-1282	100	22	guarantees	guarantee	VERB
cana-1282	100	23	data	datum	NOUN
cana-1282	100	24	fit	fit	ADJ
cana-1282	100	25	for	for	ADP
cana-1282	100	26	analysis	analysis	NOUN
cana-1282	100	27	and	and	CCONJ
cana-1282	100	28	hence	hence	ADV
cana-1282	100	29	improves	improve	VERB
cana-1282	100	30	the	the	DET
cana-1282	100	31	overall	overall	ADJ
cana-1282	100	32	model	model	NOUN
cana-1282	100	33	performance	performance	NOUN
cana-1282	100	34	.	.	PUNCT
cana-1282	101	1	in	in	ADP
cana-1282	101	2	the	the	DET
cana-1282	101	3	context	context	NOUN
cana-1282	101	4	of	of	ADP
cana-1282	101	5	mba	mba	PROPN
cana-1282	101	6	education	education	NOUN
cana-1282	101	7	,	,	PUNCT
cana-1282	101	8	preprocessing	preprocesse	VERB
cana-1282	101	9	describes	describe	VERB
cana-1282	101	10	several	several	ADJ
cana-1282	101	11	steps	step	NOUN
cana-1282	101	12	done	do	VERB
cana-1282	101	13	to	to	PART
cana-1282	101	14	prepare	prepare	VERB
cana-1282	101	15	raw	raw	ADJ
cana-1282	101	16	student	student	NOUN
cana-1282	101	17	data	datum	NOUN
cana-1282	101	18	for	for	ADP
cana-1282	101	19	deep	deep	ADJ
cana-1282	101	20	residual	residual	ADJ
cana-1282	101	21	attention	attention	NOUN
cana-1282	101	22	network	network	NOUN
cana-1282	101	23	(	(	PUNCT
cana-1282	101	24	dran	dran	ADJ
cana-1282	101	25	)	)	PUNCT
cana-1282	101	26	input	input	NOUN
cana-1282	101	27	.	.	PUNCT
cana-1282	102	1	first	first	ADJ
cana-1282	102	2	data	datum	NOUN
cana-1282	102	3	gathering	gathering	NOUN
cana-1282	102	4	gathers	gather	VERB
cana-1282	102	5	a	a	DET
cana-1282	102	6	variety	variety	NOUN
cana-1282	102	7	of	of	ADP
cana-1282	102	8	information	information	NOUN
cana-1282	102	9	,	,	PUNCT
cana-1282	102	10	including	include	VERB
cana-1282	102	11	demographic	demographic	ADJ
cana-1282	102	12	communications	communication	NOUN
cana-1282	102	13	on	on	ADP
cana-1282	102	14	applied	apply	VERB
cana-1282	102	15	nonlinear	nonlinear	ADJ
cana-1282	102	16	analysis	analysis	NOUN
cana-1282	102	17	issn	issn	NOUN
cana-1282	102	18	:	:	PUNCT
cana-1282	102	19	1074	1074	NUM
cana-1282	102	20	-	-	PUNCT
cana-1282	102	21	133x	133x	NUM
cana-1282	102	22	vol	vol	NOUN
cana-1282	102	23	31	31	NUM
cana-1282	102	24	no	no	NOUN
cana-1282	102	25	.	.	PUNCT
cana-1282	103	1	7s	7	NOUN
cana-1282	103	2	(	(	PUNCT
cana-1282	103	3	2024	2024	NUM
cana-1282	103	4	)	)	PUNCT
cana-1282	103	5	44	44	NUM
cana-1282	103	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1282	103	7	data	datum	NOUN
cana-1282	103	8	,	,	PUNCT
cana-1282	103	9	grades	grade	NOUN
cana-1282	103	10	,	,	PUNCT
cana-1282	103	11	attendance	attendance	NOUN
cana-1282	103	12	records	record	NOUN
cana-1282	103	13	,	,	PUNCT
cana-1282	103	14	classroom	classroom	NOUN
cana-1282	103	15	activity	activity	NOUN
cana-1282	103	16	participation	participation	NOUN
cana-1282	103	17	levels	level	NOUN
cana-1282	103	18	,	,	PUNCT
cana-1282	103	19	and	and	CCONJ
cana-1282	103	20	maybe	maybe	ADV
cana-1282	103	21	even	even	ADV
cana-1282	103	22	social	social	ADJ
cana-1282	103	23	interaction	interaction	NOUN
cana-1282	103	24	patterns	pattern	NOUN
cana-1282	103	25	.	.	PUNCT
cana-1282	104	1	careful	careful	ADJ
cana-1282	104	2	curation	curation	NOUN
cana-1282	104	3	of	of	ADP
cana-1282	104	4	this	this	DET
cana-1282	104	5	different	different	ADJ
cana-1282	104	6	content	content	NOUN
cana-1282	104	7	will	will	AUX
cana-1282	104	8	help	help	VERB
cana-1282	104	9	to	to	PART
cana-1282	104	10	guarantee	guarantee	VERB
cana-1282	104	11	completeness	completeness	NOUN
cana-1282	104	12	and	and	CCONJ
cana-1282	104	13	correctness	correctness	NOUN
cana-1282	104	14	.	.	PUNCT
cana-1282	105	1	one	one	NUM
cana-1282	105	2	of	of	ADP
cana-1282	105	3	the	the	DET
cana-1282	105	4	initial	initial	ADJ
cana-1282	105	5	steps	step	NOUN
cana-1282	105	6	in	in	ADP
cana-1282	105	7	preprocessing	preprocessing	NOUN
cana-1282	105	8	is	be	AUX
cana-1282	105	9	handling	handle	VERB
cana-1282	105	10	missing	miss	VERB
cana-1282	105	11	values	value	NOUN
cana-1282	105	12	;	;	PUNCT
cana-1282	105	13	this	this	PRON
cana-1282	105	14	helps	help	VERB
cana-1282	105	15	to	to	PART
cana-1282	105	16	prevent	prevent	VERB
cana-1282	105	17	biases	bias	NOUN
cana-1282	105	18	and	and	CCONJ
cana-1282	105	19	errors	error	NOUN
cana-1282	105	20	in	in	ADP
cana-1282	105	21	model	model	NOUN
cana-1282	105	22	development	development	NOUN
cana-1282	105	23	.	.	PUNCT
cana-1282	106	1	techniques	technique	NOUN
cana-1282	106	2	including	include	VERB
cana-1282	106	3	imputation	imputation	NOUN
cana-1282	106	4	,	,	PUNCT
cana-1282	106	5	mean	mean	NOUN
cana-1282	106	6	or	or	CCONJ
cana-1282	106	7	median	median	NOUN
cana-1282	106	8	of	of	ADP
cana-1282	106	9	the	the	DET
cana-1282	106	10	available	available	ADJ
cana-1282	106	11	data	data	NOUN
cana-1282	106	12	replacement	replacement	NOUN
cana-1282	106	13	for	for	ADP
cana-1282	106	14	missing	miss	VERB
cana-1282	106	15	values	value	NOUN
cana-1282	106	16	,	,	PUNCT
cana-1282	106	17	or	or	CCONJ
cana-1282	106	18	more	more	ADV
cana-1282	106	19	sophisticated	sophisticated	ADJ
cana-1282	106	20	approaches	approach	NOUN
cana-1282	106	21	include	include	VERB
cana-1282	106	22	k	k	ADJ
cana-1282	106	23	-	-	PUNCT
cana-1282	106	24	nearest	near	ADJ
cana-1282	106	25	neighbors	neighbor	NOUN
cana-1282	106	26	(	(	PUNCT
cana-1282	106	27	knn	knn	PROPN
cana-1282	106	28	)	)	PUNCT
cana-1282	106	29	imputation	imputation	NOUN
cana-1282	106	30	can	can	AUX
cana-1282	106	31	help	help	VERB
cana-1282	106	32	to	to	PART
cana-1282	106	33	fill	fill	VERB
cana-1282	106	34	in	in	ADP
cana-1282	106	35	missing	miss	VERB
cana-1282	106	36	data	datum	NOUN
cana-1282	106	37	points	point	NOUN
cana-1282	106	38	.	.	PUNCT
cana-1282	107	1	once	once	ADV
cana-1282	107	2	missing	miss	VERB
cana-1282	107	3	values	value	NOUN
cana-1282	107	4	have	have	AUX
cana-1282	107	5	been	be	AUX
cana-1282	107	6	taken	take	VERB
cana-1282	107	7	care	care	NOUN
cana-1282	107	8	of	of	ADP
cana-1282	107	9	,	,	PUNCT
cana-1282	107	10	normalizing	normalize	VERB
cana-1282	107	11	or	or	CCONJ
cana-1282	107	12	standardizing	standardize	VERB
cana-1282	107	13	the	the	DET
cana-1282	107	14	data	data	NOUN
cana-1282	107	15	features	feature	NOUN
cana-1282	107	16	to	to	ADP
cana-1282	107	17	a	a	DET
cana-1282	107	18	consistent	consistent	ADJ
cana-1282	107	19	range	range	NOUN
cana-1282	107	20	follows	follow	VERB
cana-1282	107	21	.	.	PUNCT
cana-1282	108	1	this	this	DET
cana-1282	108	2	stage	stage	NOUN
cana-1282	108	3	is	be	AUX
cana-1282	108	4	essential	essential	ADJ
cana-1282	108	5	since	since	SCONJ
cana-1282	108	6	it	it	PRON
cana-1282	108	7	ensures	ensure	VERB
cana-1282	108	8	that	that	SCONJ
cana-1282	108	9	no	no	DET
cana-1282	108	10	one	one	NUM
cana-1282	108	11	characteristic	characteristic	ADJ
cana-1282	108	12	excessively	excessively	ADV
cana-1282	108	13	influences	influence	VERB
cana-1282	108	14	the	the	DET
cana-1282	108	15	model	model	NOUN
cana-1282	108	16	in	in	ADP
cana-1282	108	17	view	view	NOUN
cana-1282	108	18	of	of	ADP
cana-1282	108	19	scale	scale	NOUN
cana-1282	108	20	changes	change	NOUN
cana-1282	108	21	.	.	PUNCT
cana-1282	109	1	exam	exam	NOUN
cana-1282	109	2	scores	score	NOUN
cana-1282	109	3	and	and	CCONJ
cana-1282	109	4	attendance	attendance	NOUN
cana-1282	109	5	%	%	NOUN
cana-1282	109	6	,	,	PUNCT
cana-1282	109	7	for	for	ADP
cana-1282	109	8	instance	instance	NOUN
cana-1282	109	9	,	,	PUNCT
cana-1282	109	10	which	which	PRON
cana-1282	109	11	have	have	VERB
cana-1282	109	12	distinct	distinct	ADJ
cana-1282	109	13	ranges	range	NOUN
cana-1282	109	14	,	,	PUNCT
cana-1282	109	15	are	be	AUX
cana-1282	109	16	translated	translate	VERB
cana-1282	109	17	so	so	SCONJ
cana-1282	109	18	that	that	SCONJ
cana-1282	109	19	their	their	PRON
cana-1282	109	20	distributions	distribution	NOUN
cana-1282	109	21	line	line	VERB
cana-1282	109	22	up	up	ADP
cana-1282	109	23	and	and	CCONJ
cana-1282	109	24	therefore	therefore	ADV
cana-1282	109	25	allow	allow	VERB
cana-1282	109	26	more	more	ADV
cana-1282	109	27	effective	effective	ADJ
cana-1282	109	28	learning	learning	NOUN
cana-1282	109	29	by	by	ADP
cana-1282	109	30	the	the	DET
cana-1282	109	31	model	model	NOUN
cana-1282	109	32	.	.	PUNCT
cana-1282	110	1	still	still	ADV
cana-1282	110	2	another	another	DET
cana-1282	110	3	vital	vital	ADJ
cana-1282	110	4	component	component	NOUN
cana-1282	110	5	of	of	ADP
cana-1282	110	6	preparation	preparation	NOUN
cana-1282	110	7	is	be	AUX
cana-1282	110	8	feature	feature	NOUN
cana-1282	110	9	selection	selection	NOUN
cana-1282	110	10	.	.	PUNCT
cana-1282	111	1	this	this	PRON
cana-1282	111	2	means	mean	VERB
cana-1282	111	3	identifying	identify	VERB
cana-1282	111	4	and	and	CCONJ
cana-1282	111	5	selecting	select	VERB
cana-1282	111	6	among	among	ADP
cana-1282	111	7	the	the	DET
cana-1282	111	8	most	most	ADV
cana-1282	111	9	relevant	relevant	ADJ
cana-1282	111	10	features	feature	NOUN
cana-1282	111	11	of	of	ADP
cana-1282	111	12	the	the	DET
cana-1282	111	13	dataset	dataset	NOUN
cana-1282	111	14	those	those	PRON
cana-1282	111	15	most	most	ADV
cana-1282	111	16	affect	affect	VERB
cana-1282	111	17	student	student	NOUN
cana-1282	111	18	performance	performance	NOUN
cana-1282	111	19	and	and	CCONJ
cana-1282	111	20	involvement	involvement	NOUN
cana-1282	111	21	.	.	PUNCT
cana-1282	112	1	eliminating	eliminate	VERB
cana-1282	112	2	duplicate	duplicate	NOUN
cana-1282	112	3	or	or	CCONJ
cana-1282	112	4	useless	useless	ADJ
cana-1282	112	5	components	component	NOUN
cana-1282	112	6	reduces	reduce	VERB
cana-1282	112	7	the	the	DET
cana-1282	112	8	dimensionality	dimensionality	NOUN
cana-1282	112	9	of	of	ADP
cana-1282	112	10	the	the	DET
cana-1282	112	11	data	datum	NOUN
cana-1282	112	12	,	,	PUNCT
cana-1282	112	13	hence	hence	ADV
cana-1282	112	14	boosting	boost	VERB
cana-1282	112	15	model	model	NOUN
cana-1282	112	16	performance	performance	NOUN
cana-1282	112	17	and	and	CCONJ
cana-1282	112	18	decreasing	decrease	VERB
cana-1282	112	19	overfitting	overfitting	NOUN
cana-1282	112	20	.	.	PUNCT
cana-1282	113	1	one	one	PRON
cana-1282	113	2	can	can	AUX
cana-1282	113	3	obtain	obtain	VERB
cana-1282	113	4	these	these	DET
cana-1282	113	5	significant	significant	ADJ
cana-1282	113	6	properties	property	NOUN
cana-1282	113	7	by	by	ADP
cana-1282	113	8	means	mean	NOUN
cana-1282	113	9	of	of	ADP
cana-1282	113	10	correlation	correlation	NOUN
cana-1282	113	11	analysis	analysis	NOUN
cana-1282	113	12	or	or	CCONJ
cana-1282	113	13	principle	principle	NOUN
cana-1282	113	14	component	component	NOUN
cana-1282	113	15	analysis	analysis	NOUN
cana-1282	113	16	(	(	PUNCT
cana-1282	113	17	pca	pca	NOUN
cana-1282	113	18	)	)	PUNCT
cana-1282	113	19	.	.	PUNCT
cana-1282	114	1	data	datum	NOUN
cana-1282	114	2	can	can	AUX
cana-1282	114	3	also	also	ADV
cana-1282	114	4	be	be	AUX
cana-1282	114	5	modified	modify	VERB
cana-1282	114	6	using	use	VERB
cana-1282	114	7	encoding	encode	VERB
cana-1282	114	8	methods	method	NOUN
cana-1282	114	9	like	like	ADP
cana-1282	114	10	one	one	NUM
cana-1282	114	11	-	-	PUNCT
cana-1282	114	12	hot	hot	ADJ
cana-1282	114	13	encoding	encoding	NOUN
cana-1282	114	14	for	for	ADP
cana-1282	114	15	categorical	categorical	ADJ
cana-1282	114	16	variables	variable	NOUN
cana-1282	114	17	to	to	PART
cana-1282	114	18	meet	meet	VERB
cana-1282	114	19	the	the	DET
cana-1282	114	20	numerical	numerical	ADJ
cana-1282	114	21	computations	computation	NOUN
cana-1282	114	22	performed	perform	VERB
cana-1282	114	23	by	by	ADP
cana-1282	114	24	deep	deep	ADJ
cana-1282	114	25	learning	learning	NOUN
cana-1282	114	26	algorithms	algorithm	NOUN
cana-1282	114	27	.	.	PUNCT
cana-1282	115	1	data	datum	NOUN
cana-1282	115	2	is	be	AUX
cana-1282	115	3	finally	finally	ADV
cana-1282	115	4	split	split	VERB
cana-1282	115	5	into	into	ADP
cana-1282	115	6	training	training	NOUN
cana-1282	115	7	,	,	PUNCT
cana-1282	115	8	validation	validation	NOUN
cana-1282	115	9	,	,	PUNCT
cana-1282	115	10	and	and	CCONJ
cana-1282	115	11	test	test	NOUN
cana-1282	115	12	sets	set	NOUN
cana-1282	115	13	in	in	ADP
cana-1282	115	14	order	order	NOUN
cana-1282	115	15	to	to	PART
cana-1282	115	16	evaluate	evaluate	VERB
cana-1282	115	17	the	the	DET
cana-1282	115	18	model	model	NOUN
cana-1282	115	19	objectially	objectially	ADV
cana-1282	115	20	.	.	PUNCT
cana-1282	116	1	while	while	SCONJ
cana-1282	116	2	learning	learn	VERB
cana-1282	116	3	on	on	ADP
cana-1282	116	4	a	a	DET
cana-1282	116	5	fraction	fraction	NOUN
cana-1282	116	6	of	of	ADP
cana-1282	116	7	the	the	DET
cana-1282	116	8	input	input	NOUN
cana-1282	116	9	,	,	PUNCT
cana-1282	116	10	this	this	DET
cana-1282	116	11	split	split	NOUN
cana-1282	116	12	lets	let	VERB
cana-1282	116	13	the	the	DET
cana-1282	116	14	model	model	NOUN
cana-1282	116	15	be	be	AUX
cana-1282	116	16	tested	test	VERB
cana-1282	116	17	on	on	ADP
cana-1282	116	18	unknown	unknown	ADJ
cana-1282	116	19	data	datum	NOUN
cana-1282	116	20	to	to	PART
cana-1282	116	21	assess	assess	VERB
cana-1282	116	22	its	its	PRON
cana-1282	116	23	generalizing	generalize	VERB
cana-1282	116	24	ability	ability	NOUN
cana-1282	116	25	.	.	PUNCT
cana-1282	117	1	usually	usually	ADV
cana-1282	117	2	,	,	PUNCT
cana-1282	117	3	preprocessing	preprocesse	VERB
cana-1282	117	4	turns	turn	NOUN
cana-1282	117	5	unstructured	unstructured	ADJ
cana-1282	117	6	,	,	PUNCT
cana-1282	117	7	dirty	dirty	ADJ
cana-1282	117	8	,	,	PUNCT
cana-1282	117	9	and	and	CCONJ
cana-1282	117	10	inconsistent	inconsistent	ADJ
cana-1282	117	11	raw	raw	ADJ
cana-1282	117	12	educational	educational	ADJ
cana-1282	117	13	data	datum	NOUN
cana-1282	117	14	into	into	ADP
cana-1282	117	15	a	a	DET
cana-1282	117	16	consistent	consistent	ADJ
cana-1282	117	17	,	,	PUNCT
cana-1282	117	18	orderly	orderly	ADJ
cana-1282	117	19	format	format	NOUN
cana-1282	117	20	that	that	PRON
cana-1282	117	21	offers	offer	VERB
cana-1282	117	22	a	a	DET
cana-1282	117	23	strong	strong	ADJ
cana-1282	117	24	basis	basis	NOUN
cana-1282	117	25	for	for	ADP
cana-1282	117	26	training	train	VERB
cana-1282	117	27	the	the	DET
cana-1282	117	28	dran	dran	ADJ
cana-1282	117	29	model	model	NOUN
cana-1282	117	30	,	,	PUNCT
cana-1282	117	31	so	so	ADV
cana-1282	117	32	improving	improve	VERB
cana-1282	117	33	the	the	DET
cana-1282	117	34	accuracy	accuracy	NOUN
cana-1282	117	35	and	and	CCONJ
cana-1282	117	36	dependability	dependability	NOUN
cana-1282	117	37	of	of	ADP
cana-1282	117	38	suggestions	suggestion	NOUN
cana-1282	117	39	and	and	CCONJ
cana-1282	117	40	predictions	prediction	NOUN
cana-1282	117	41	in	in	ADP
cana-1282	117	42	the	the	DET
cana-1282	117	43	mba	mba	PROPN
cana-1282	117	44	educational	educational	ADJ
cana-1282	117	45	environment	environment	NOUN
cana-1282	117	46	.	.	PUNCT
cana-1282	118	1	5	5	X
cana-1282	118	2	.	.	X
cana-1282	118	3	non	non	ADJ
cana-1282	118	4	-	-	ADJ
cana-1282	118	5	linear	linear	ADJ
cana-1282	118	6	sigmoid	sigmoid	NOUN
cana-1282	118	7	fitness	fitness	NOUN
cana-1282	118	8	function	function	NOUN
cana-1282	118	9	in	in	ADP
cana-1282	118	10	deep	deep	ADJ
cana-1282	118	11	learning	learning	NOUN
cana-1282	118	12	analyzing	analyze	VERB
cana-1282	118	13	the	the	DET
cana-1282	118	14	performance	performance	NOUN
cana-1282	118	15	of	of	ADP
cana-1282	118	16	a	a	DET
cana-1282	118	17	model	model	NOUN
cana-1282	118	18	,	,	PUNCT
cana-1282	118	19	such	such	DET
cana-1282	118	20	the	the	DET
cana-1282	118	21	deep	deep	ADJ
cana-1282	118	22	residual	residual	ADJ
cana-1282	118	23	attention	attention	NOUN
cana-1282	118	24	network	network	NOUN
cana-1282	118	25	(	(	PUNCT
cana-1282	118	26	dran	dran	PROPN
cana-1282	118	27	)	)	PUNCT
cana-1282	118	28	,	,	PUNCT
cana-1282	118	29	in	in	ADP
cana-1282	118	30	the	the	DET
cana-1282	118	31	scope	scope	NOUN
cana-1282	118	32	of	of	ADP
cana-1282	118	33	deep	deep	ADJ
cana-1282	118	34	learning	learning	NOUN
cana-1282	118	35	for	for	ADP
cana-1282	118	36	mba	mba	NOUN
cana-1282	118	37	education	education	NOUN
cana-1282	118	38	rests	rest	VERB
cana-1282	118	39	mostly	mostly	ADV
cana-1282	118	40	on	on	ADP
cana-1282	118	41	a	a	DET
cana-1282	118	42	non	non	ADJ
cana-1282	118	43	-	-	ADJ
cana-1282	118	44	linear	linear	ADJ
cana-1282	118	45	sigmoid	sigmoid	NOUN
cana-1282	118	46	fitness	fitness	NOUN
cana-1282	118	47	function	function	NOUN
cana-1282	118	48	.	.	PUNCT
cana-1282	119	1	the	the	DET
cana-1282	119	2	sigmoid	sigmoid	NOUN
cana-1282	119	3	function	function	NOUN
cana-1282	119	4	is	be	AUX
cana-1282	119	5	particularly	particularly	ADV
cana-1282	119	6	appropriate	appropriate	ADJ
cana-1282	119	7	in	in	ADP
cana-1282	119	8	cases	case	NOUN
cana-1282	119	9	of	of	ADP
cana-1282	119	10	classification	classification	NOUN
cana-1282	119	11	problems	problem	NOUN
cana-1282	119	12	whereby	whereby	SCONJ
cana-1282	119	13	outputs	output	NOUN
cana-1282	119	14	must	must	AUX
cana-1282	119	15	be	be	AUX
cana-1282	119	16	converted	convert	VERB
cana-1282	119	17	to	to	ADP
cana-1282	119	18	a	a	DET
cana-1282	119	19	probability	probability	NOUN
cana-1282	119	20	scale	scale	NOUN
cana-1282	119	21	—	—	PUNCT
cana-1282	119	22	usually	usually	ADV
cana-1282	119	23	between	between	ADP
cana-1282	119	24	0	0	NUM
cana-1282	119	25	and	and	CCONJ
cana-1282	119	26	1	1	NUM
cana-1282	119	27	.	.	PUNCT
cana-1282	119	28	by	by	ADP
cana-1282	119	29	progressively	progressively	ADV
cana-1282	119	30	migrating	migrate	VERB
cana-1282	119	31	from	from	ADP
cana-1282	119	32	one	one	NUM
cana-1282	119	33	asymptote	asymptote	NOUN
cana-1282	119	34	to	to	ADP
cana-1282	119	35	another	another	PRON
cana-1282	119	36	,	,	PUNCT
cana-1282	119	37	the	the	DET
cana-1282	119	38	s	s	NOUN
cana-1282	119	39	-	-	PUNCT
cana-1282	119	40	shaped	shape	VERB
cana-1282	119	41	curve	curve	NOUN
cana-1282	119	42	of	of	ADP
cana-1282	119	43	this	this	DET
cana-1282	119	44	non	non	ADJ
cana-1282	119	45	-	-	ADJ
cana-1282	119	46	linear	linear	ADJ
cana-1282	119	47	function	function	NOUN
cana-1282	119	48	clearly	clearly	ADV
cana-1282	119	49	divides	divide	VERB
cana-1282	119	50	classes	class	NOUN
cana-1282	119	51	or	or	CCONJ
cana-1282	119	52	results	result	NOUN
cana-1282	119	53	.	.	PUNCT
cana-1282	120	1	mathematical	mathematical	ADJ
cana-1282	120	2	form	form	NOUN
cana-1282	120	3	for	for	ADP
cana-1282	120	4	the	the	DET
cana-1282	120	5	sigmoid	sigmoid	NOUN
cana-1282	120	6	function	function	NOUN
cana-1282	120	7	is	be	AUX
cana-1282	120	8	:	:	PUNCT
cana-1282	120	9	1	1	NUM
cana-1282	120	10	(	(	PUNCT
cana-1282	120	11	)	)	PUNCT
cana-1282	120	12	1	1	NUM
cana-1282	120	13	x	x	SYM
cana-1282	120	14	x	x	X
cana-1282	120	15	e	e	NOUN
cana-1282	120	16			PROPN
cana-1282	120	17	−	−	NOUN
cana-1282	121	1	=	=	SYM
cana-1282	122	1	+	+	CCONJ
cana-1282	122	2	in	in	ADP
cana-1282	122	3	the	the	DET
cana-1282	122	4	framework	framework	NOUN
cana-1282	122	5	of	of	ADP
cana-1282	122	6	neural	neural	ADJ
cana-1282	122	7	networks	network	NOUN
cana-1282	122	8	,	,	PUNCT
cana-1282	122	9	x	x	X
cana-1282	122	10	is	be	AUX
cana-1282	122	11	the	the	DET
cana-1282	122	12	input	input	NOUN
cana-1282	122	13	to	to	ADP
cana-1282	122	14	the	the	DET
cana-1282	122	15	function	function	NOUN
cana-1282	122	16	typically	typically	ADV
cana-1282	122	17	the	the	DET
cana-1282	122	18	weighted	weighted	ADJ
cana-1282	122	19	sum	sum	NOUN
cana-1282	122	20	of	of	ADP
cana-1282	122	21	inputs	input	NOUN
cana-1282	122	22	plus	plus	CCONJ
cana-1282	122	23	a	a	DET
cana-1282	122	24	bias	bias	NOUN
cana-1282	122	25	component	component	NOUN
cana-1282	122	26	.	.	PUNCT
cana-1282	123	1	the	the	DET
cana-1282	123	2	sigmoid	sigmoid	NOUN
cana-1282	123	3	function	function	NOUN
cana-1282	123	4	compresses	compress	VERB
cana-1282	123	5	the	the	DET
cana-1282	123	6	input	input	NOUN
cana-1282	123	7	into	into	ADP
cana-1282	123	8	a	a	DET
cana-1282	123	9	range	range	NOUN
cana-1282	123	10	between	between	ADP
cana-1282	123	11	0	0	NUM
cana-1282	123	12	and	and	CCONJ
cana-1282	123	13	1	1	NUM
cana-1282	123	14	,	,	PUNCT
cana-1282	123	15	so	so	SCONJ
cana-1282	123	16	it	it	PRON
cana-1282	123	17	is	be	AUX
cana-1282	123	18	the	the	DET
cana-1282	123	19	best	good	ADJ
cana-1282	123	20	choice	choice	NOUN
cana-1282	123	21	when	when	SCONJ
cana-1282	123	22	the	the	DET
cana-1282	123	23	output	output	NOUN
cana-1282	123	24	has	have	VERB
cana-1282	123	25	to	to	PART
cana-1282	123	26	show	show	VERB
cana-1282	123	27	a	a	DET
cana-1282	123	28	probability	probability	NOUN
cana-1282	123	29	or	or	CCONJ
cana-1282	123	30	be	be	AUX
cana-1282	123	31	used	use	VERB
cana-1282	123	32	in	in	ADP
cana-1282	123	33	a	a	DET
cana-1282	123	34	logistic	logistic	ADJ
cana-1282	123	35	regression	regression	NOUN
cana-1282	123	36	scenario	scenario	NOUN
cana-1282	123	37	.	.	PUNCT
cana-1282	124	1	this	this	PRON
cana-1282	124	2	is	be	AUX
cana-1282	124	3	vitally	vitally	ADV
cana-1282	124	4	essential	essential	ADJ
cana-1282	124	5	in	in	ADP
cana-1282	124	6	educational	educational	ADJ
cana-1282	124	7	models	model	NOUN
cana-1282	124	8	when	when	SCONJ
cana-1282	124	9	results	result	NOUN
cana-1282	124	10	such	such	ADJ
cana-1282	124	11	as	as	ADP
cana-1282	124	12	the	the	DET
cana-1282	124	13	likelihood	likelihood	NOUN
cana-1282	124	14	of	of	ADP
cana-1282	124	15	a	a	DET
cana-1282	124	16	certain	certain	ADJ
cana-1282	124	17	learning	learning	NOUN
cana-1282	124	18	intervention	intervention	NOUN
cana-1282	124	19	being	be	AUX
cana-1282	124	20	successful	successful	ADJ
cana-1282	124	21	or	or	CCONJ
cana-1282	124	22	the	the	DET
cana-1282	124	23	probability	probability	NOUN
cana-1282	124	24	of	of	ADP
cana-1282	124	25	student	student	NOUN
cana-1282	124	26	attainment	attainment	NOUN
cana-1282	124	27	are	be	AUX
cana-1282	124	28	predicted	predict	VERB
cana-1282	124	29	.	.	PUNCT
cana-1282	125	1	communications	communication	NOUN
cana-1282	125	2	on	on	ADP
cana-1282	125	3	applied	apply	VERB
cana-1282	125	4	nonlinear	nonlinear	ADJ
cana-1282	125	5	analysis	analysis	NOUN
cana-1282	125	6	issn	issn	NOUN
cana-1282	125	7	:	:	PUNCT
cana-1282	125	8	1074	1074	NUM
cana-1282	125	9	-	-	PUNCT
cana-1282	125	10	133x	133x	NUM
cana-1282	125	11	vol	vol	NOUN
cana-1282	125	12	31	31	NUM
cana-1282	125	13	no	no	NOUN
cana-1282	125	14	.	.	PUNCT
cana-1282	126	1	7s	7	NOUN
cana-1282	126	2	(	(	PUNCT
cana-1282	126	3	2024	2024	NUM
cana-1282	126	4	)	)	PUNCT
cana-1282	126	5	45	45	NUM
cana-1282	126	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1282	126	7	the	the	DET
cana-1282	126	8	non	non	ADJ
cana-1282	126	9	-	-	ADJ
cana-1282	126	10	linear	linear	ADJ
cana-1282	126	11	structure	structure	NOUN
cana-1282	126	12	of	of	ADP
cana-1282	126	13	the	the	DET
cana-1282	126	14	sigmoid	sigmoid	NOUN
cana-1282	126	15	function	function	NOUN
cana-1282	126	16	allows	allow	VERB
cana-1282	126	17	it	it	PRON
cana-1282	126	18	to	to	PART
cana-1282	126	19	depict	depict	VERB
cana-1282	126	20	complex	complex	ADJ
cana-1282	126	21	patterns	pattern	NOUN
cana-1282	126	22	of	of	ADP
cana-1282	126	23	data	datum	NOUN
cana-1282	126	24	association	association	NOUN
cana-1282	126	25	.	.	PUNCT
cana-1282	127	1	in	in	ADP
cana-1282	127	2	the	the	DET
cana-1282	127	3	output	output	NOUN
cana-1282	127	4	layer	layer	NOUN
cana-1282	127	5	of	of	ADP
cana-1282	127	6	the	the	DET
cana-1282	127	7	dran	dran	ADJ
cana-1282	127	8	system	system	NOUN
cana-1282	127	9	,	,	PUNCT
cana-1282	127	10	the	the	DET
cana-1282	127	11	sigmoid	sigmoid	NOUN
cana-1282	127	12	fitness	fitness	NOUN
cana-1282	127	13	function	function	NOUN
cana-1282	127	14	forecasts	forecast	VERB
cana-1282	127	15	binary	binary	ADJ
cana-1282	127	16	or	or	CCONJ
cana-1282	127	17	multi	multi	ADJ
cana-1282	127	18	-	-	ADJ
cana-1282	127	19	class	class	ADJ
cana-1282	127	20	outcomes	outcome	NOUN
cana-1282	127	21	—	—	PUNCT
cana-1282	127	22	that	that	ADV
cana-1282	127	23	is	is	ADV
cana-1282	127	24	,	,	PUNCT
cana-1282	127	25	whether	whether	SCONJ
cana-1282	127	26	a	a	DET
cana-1282	127	27	learner	learner	NOUN
cana-1282	127	28	is	be	AUX
cana-1282	127	29	likely	likely	ADJ
cana-1282	127	30	to	to	PART
cana-1282	127	31	succeed	succeed	VERB
cana-1282	127	32	or	or	CCONJ
cana-1282	127	33	need	need	VERB
cana-1282	127	34	further	further	ADJ
cana-1282	127	35	aid	aid	NOUN
cana-1282	127	36	.	.	PUNCT
cana-1282	128	1	the	the	DET
cana-1282	128	2	sigmoid	sigmoid	NOUN
cana-1282	128	3	function	function	NOUN
cana-1282	128	4	turns	turn	VERB
cana-1282	128	5	raw	raw	ADJ
cana-1282	128	6	model	model	NOUN
cana-1282	128	7	outputs	output	NOUN
cana-1282	128	8	(	(	PUNCT
cana-1282	128	9	logits	logit	NOUN
cana-1282	128	10	)	)	PUNCT
cana-1282	128	11	into	into	ADP
cana-1282	128	12	simpler	simple	ADJ
cana-1282	128	13	-	-	PUNCT
cana-1282	128	14	to	to	ADP
cana-1282	128	15	-	-	PUNCT
cana-1282	128	16	interpretable	interpretable	ADJ
cana-1282	128	17	probabilities	probability	NOUN
cana-1282	128	18	for	for	ADP
cana-1282	128	19	use	use	NOUN
cana-1282	128	20	in	in	ADP
cana-1282	128	21	decisionmaking	decisionmake	VERB
cana-1282	128	22	processes	process	NOUN
cana-1282	128	23	.	.	PUNCT
cana-1282	129	1	found	find	VERB
cana-1282	129	2	fundamental	fundamental	ADJ
cana-1282	129	3	for	for	ADP
cana-1282	129	4	backpropagation	backpropagation	NOUN
cana-1282	129	5	across	across	ADP
cana-1282	129	6	neural	neural	ADJ
cana-1282	129	7	networks	network	NOUN
cana-1282	129	8	,	,	PUNCT
cana-1282	129	9	the	the	DET
cana-1282	129	10	sigmoid	sigmoid	NOUN
cana-1282	129	11	function	function	NOUN
cana-1282	129	12	also	also	ADV
cana-1282	129	13	has	have	VERB
cana-1282	129	14	a	a	DET
cana-1282	129	15	derivative	derivative	NOUN
cana-1282	129	16	:	:	PUNCT
cana-1282	129	17	(	(	PUNCT
cana-1282	129	18	)	)	PUNCT
cana-1282	129	19	(	(	PUNCT
cana-1282	129	20	)	)	PUNCT
cana-1282	129	21	(	(	PUNCT
cana-1282	129	22	1	1	NUM
cana-1282	129	23	(	(	PUNCT
cana-1282	129	24	)	)	PUNCT
cana-1282	129	25	)	)	PUNCT
cana-1282	129	26	x	x	X
cana-1282	129	27	x	x	X
cana-1282	129	28	x	x	NOUN
cana-1282	129	29			PROPN
cana-1282	129	30			PROPN
cana-1282	129	31	=	=	PUNCT
cana-1282	129	32			NUM
cana-1282	129	33	−	−	ADP
cana-1282	129	34	this	this	DET
cana-1282	129	35	derivative	derivative	ADJ
cana-1282	129	36	guides	guide	NOUN
cana-1282	129	37	one	one	NUM
cana-1282	129	38	in	in	ADP
cana-1282	129	39	finding	find	VERB
cana-1282	129	40	the	the	DET
cana-1282	129	41	gradient	gradient	NOUN
cana-1282	129	42	of	of	ADP
cana-1282	129	43	the	the	DET
cana-1282	129	44	loss	loss	NOUN
cana-1282	129	45	function	function	NOUN
cana-1282	129	46	about	about	ADP
cana-1282	129	47	the	the	DET
cana-1282	129	48	weights	weight	NOUN
cana-1282	129	49	during	during	ADP
cana-1282	129	50	backpropagation	backpropagation	NOUN
cana-1282	129	51	.	.	PUNCT
cana-1282	130	1	the	the	DET
cana-1282	130	2	gradient	gradient	NOUN
cana-1282	130	3	provides	provide	VERB
cana-1282	130	4	the	the	DET
cana-1282	130	5	necessary	necessary	ADJ
cana-1282	130	6	data	datum	NOUN
cana-1282	130	7	for	for	ADP
cana-1282	130	8	the	the	DET
cana-1282	130	9	optimization	optimization	NOUN
cana-1282	130	10	technique	technique	NOUN
cana-1282	130	11	to	to	PART
cana-1282	130	12	modify	modify	VERB
cana-1282	130	13	the	the	DET
cana-1282	130	14	weights	weight	NOUN
cana-1282	130	15	in	in	ADP
cana-1282	130	16	a	a	DET
cana-1282	130	17	direction	direction	NOUN
cana-1282	130	18	that	that	PRON
cana-1282	130	19	reduces	reduce	VERB
cana-1282	130	20	the	the	DET
cana-1282	130	21	error	error	NOUN
cana-1282	130	22	,	,	PUNCT
cana-1282	130	23	therefore	therefore	ADV
cana-1282	130	24	improving	improve	VERB
cana-1282	130	25	the	the	DET
cana-1282	130	26	model	model	NOUN
cana-1282	130	27	's	's	PART
cana-1282	130	28	accuracy	accuracy	NOUN
cana-1282	130	29	.	.	PUNCT
cana-1282	131	1	the	the	DET
cana-1282	131	2	nonlinear	nonlinear	ADJ
cana-1282	131	3	feature	feature	NOUN
cana-1282	131	4	of	of	ADP
cana-1282	131	5	the	the	DET
cana-1282	131	6	sigmoid	sigmoid	NOUN
cana-1282	131	7	function	function	NOUN
cana-1282	131	8	enables	enable	VERB
cana-1282	131	9	it	it	PRON
cana-1282	131	10	to	to	PART
cana-1282	131	11	detect	detect	VERB
cana-1282	131	12	complex	complex	ADJ
cana-1282	131	13	patterns	pattern	NOUN
cana-1282	131	14	in	in	ADP
cana-1282	131	15	the	the	DET
cana-1282	131	16	data	datum	NOUN
cana-1282	131	17	that	that	PRON
cana-1282	131	18	linear	linear	ADJ
cana-1282	131	19	functions	function	NOUN
cana-1282	131	20	can	can	AUX
cana-1282	131	21	not	not	PART
cana-1282	131	22	,	,	PUNCT
cana-1282	131	23	therefore	therefore	ADV
cana-1282	131	24	enhancing	enhance	VERB
cana-1282	131	25	the	the	DET
cana-1282	131	26	capacity	capacity	NOUN
cana-1282	131	27	of	of	ADP
cana-1282	131	28	the	the	DET
cana-1282	131	29	model	model	NOUN
cana-1282	131	30	to	to	PART
cana-1282	131	31	learn	learn	VERB
cana-1282	131	32	from	from	ADP
cana-1282	131	33	demanding	demand	VERB
cana-1282	131	34	instructional	instructional	ADJ
cana-1282	131	35	sets	set	NOUN
cana-1282	131	36	.	.	PUNCT
cana-1282	132	1	particularly	particularly	ADV
cana-1282	132	2	when	when	SCONJ
cana-1282	132	3	inputs	input	NOUN
cana-1282	132	4	are	be	AUX
cana-1282	132	5	far	far	ADV
cana-1282	132	6	from	from	ADP
cana-1282	132	7	the	the	DET
cana-1282	132	8	origin	origin	NOUN
cana-1282	132	9	,	,	PUNCT
cana-1282	132	10	either	either	CCONJ
cana-1282	132	11	very	very	ADV
cana-1282	132	12	large	large	ADJ
cana-1282	132	13	positive	positive	ADJ
cana-1282	132	14	or	or	CCONJ
cana-1282	132	15	negative	negative	ADJ
cana-1282	132	16	values	value	NOUN
cana-1282	132	17	,	,	PUNCT
cana-1282	132	18	the	the	DET
cana-1282	132	19	sigmoid	sigmoid	NOUN
cana-1282	132	20	function	function	NOUN
cana-1282	132	21	can	can	AUX
cana-1282	132	22	suffer	suffer	VERB
cana-1282	132	23	from	from	ADP
cana-1282	132	24	difficulties	difficulty	NOUN
cana-1282	132	25	like	like	ADP
cana-1282	132	26	disappearing	disappear	VERB
cana-1282	132	27	gradients	gradient	NOUN
cana-1282	132	28	.	.	PUNCT
cana-1282	133	1	while	while	SCONJ
cana-1282	133	2	employing	employ	VERB
cana-1282	133	3	other	other	ADJ
cana-1282	133	4	activation	activation	NOUN
cana-1282	133	5	functions	function	NOUN
cana-1282	133	6	like	like	ADP
cana-1282	133	7	relu	relu	NOUN
cana-1282	133	8	in	in	ADP
cana-1282	133	9	hidden	hidden	ADJ
cana-1282	133	10	layers	layer	NOUN
cana-1282	133	11	can	can	AUX
cana-1282	133	12	assist	assist	VERB
cana-1282	133	13	to	to	PART
cana-1282	133	14	minimize	minimize	VERB
cana-1282	133	15	this	this	PRON
cana-1282	133	16	,	,	PUNCT
cana-1282	133	17	modern	modern	ADJ
cana-1282	133	18	deep	deep	ADJ
cana-1282	133	19	learning	learning	NOUN
cana-1282	133	20	systems	system	NOUN
cana-1282	133	21	occasionally	occasionally	ADV
cana-1282	133	22	save	save	VERB
cana-1282	133	23	the	the	DET
cana-1282	133	24	sigmoid	sigmoid	NOUN
cana-1282	133	25	for	for	ADP
cana-1282	133	26	the	the	DET
cana-1282	133	27	output	output	NOUN
cana-1282	133	28	layer	layer	NOUN
cana-1282	133	29	in	in	ADP
cana-1282	133	30	binary	binary	ADJ
cana-1282	133	31	classification	classification	NOUN
cana-1282	133	32	situations	situation	NOUN
cana-1282	133	33	.	.	PUNCT
cana-1282	134	1	still	still	ADV
cana-1282	134	2	,	,	PUNCT
cana-1282	134	3	the	the	DET
cana-1282	134	4	sigmoid	sigmoid	NOUN
cana-1282	134	5	fitness	fitness	NOUN
cana-1282	134	6	function	function	NOUN
cana-1282	134	7	is	be	AUX
cana-1282	134	8	a	a	DET
cana-1282	134	9	fantastic	fantastic	ADJ
cana-1282	134	10	tool	tool	NOUN
cana-1282	134	11	for	for	ADP
cana-1282	134	12	transforming	transform	VERB
cana-1282	134	13	linear	linear	ADJ
cana-1282	134	14	combinations	combination	NOUN
cana-1282	134	15	of	of	ADP
cana-1282	134	16	inputs	input	NOUN
cana-1282	134	17	into	into	ADP
cana-1282	134	18	pertinent	pertinent	ADJ
cana-1282	134	19	predictions	prediction	NOUN
cana-1282	134	20	that	that	PRON
cana-1282	134	21	direct	direct	ADJ
cana-1282	134	22	tailored	tailored	ADJ
cana-1282	134	23	learning	learning	NOUN
cana-1282	134	24	programs	program	NOUN
cana-1282	134	25	in	in	ADP
cana-1282	134	26	mba	mba	PROPN
cana-1282	134	27	education	education	NOUN
cana-1282	134	28	.	.	PUNCT
cana-1282	135	1	working	work	VERB
cana-1282	135	2	of	of	ADP
cana-1282	135	3	deep	deep	ADJ
cana-1282	135	4	attention	attention	NOUN
cana-1282	135	5	resnet	resnet	AUX
cana-1282	135	6	deep	deep	ADJ
cana-1282	135	7	attention	attention	NOUN
cana-1282	135	8	resnet	resnet	NOUN
cana-1282	135	9	combines	combine	VERB
cana-1282	135	10	the	the	DET
cana-1282	135	11	strengths	strength	NOUN
cana-1282	135	12	of	of	ADP
cana-1282	135	13	residual	residual	ADJ
cana-1282	135	14	networks	network	NOUN
cana-1282	135	15	(	(	PUNCT
cana-1282	135	16	resnet	resnet	NOUN
cana-1282	135	17	)	)	PUNCT
cana-1282	135	18	and	and	CCONJ
cana-1282	135	19	attention	attention	NOUN
cana-1282	135	20	processes	process	NOUN
cana-1282	135	21	to	to	PART
cana-1282	135	22	effectively	effectively	ADV
cana-1282	135	23	capture	capture	VERB
cana-1282	135	24	complicated	complicated	ADJ
cana-1282	135	25	patterns	pattern	NOUN
cana-1282	135	26	in	in	ADP
cana-1282	135	27	educational	educational	ADJ
cana-1282	135	28	data	datum	NOUN
cana-1282	135	29	,	,	PUNCT
cana-1282	135	30	especially	especially	ADV
cana-1282	135	31	for	for	ADP
cana-1282	135	32	uses	use	NOUN
cana-1282	135	33	in	in	ADP
cana-1282	135	34	mba	mba	PROPN
cana-1282	135	35	education	education	NOUN
cana-1282	135	36	.	.	PUNCT
cana-1282	136	1	this	this	DET
cana-1282	136	2	model	model	NOUN
cana-1282	136	3	is	be	AUX
cana-1282	136	4	supposed	suppose	VERB
cana-1282	136	5	to	to	PART
cana-1282	136	6	improve	improve	VERB
cana-1282	136	7	the	the	DET
cana-1282	136	8	prediction	prediction	NOUN
cana-1282	136	9	capacity	capacity	NOUN
cana-1282	136	10	and	and	CCONJ
cana-1282	136	11	interpretability	interpretability	NOUN
cana-1282	136	12	of	of	ADP
cana-1282	136	13	deep	deep	ADJ
cana-1282	136	14	learning	learning	NOUN
cana-1282	136	15	models	model	NOUN
cana-1282	136	16	by	by	ADP
cana-1282	136	17	focusing	focus	VERB
cana-1282	136	18	on	on	ADP
cana-1282	136	19	the	the	DET
cana-1282	136	20	most	most	ADV
cana-1282	136	21	relevant	relevant	ADJ
cana-1282	136	22	aspects	aspect	NOUN
cana-1282	136	23	in	in	ADP
cana-1282	136	24	the	the	DET
cana-1282	136	25	data	datum	NOUN
cana-1282	136	26	,	,	PUNCT
cana-1282	136	27	thereby	thereby	ADV
cana-1282	136	28	leading	lead	VERB
cana-1282	136	29	improved	improved	ADJ
cana-1282	136	30	decision	decision	NOUN
cana-1282	136	31	-	-	PUNCT
cana-1282	136	32	making	making	NOUN
cana-1282	136	33	and	and	CCONJ
cana-1282	136	34	personalized	personalized	ADJ
cana-1282	136	35	learning	learn	VERB
cana-1282	136	36	recommendations	recommendation	NOUN
cana-1282	136	37	.	.	PUNCT
cana-1282	137	1	residual	residual	ADJ
cana-1282	137	2	networks	network	NOUN
cana-1282	137	3	(	(	PUNCT
cana-1282	137	4	resnet	resnet	NOUN
cana-1282	137	5	)	)	PUNCT
cana-1282	137	6	the	the	DET
cana-1282	137	7	foundation	foundation	NOUN
cana-1282	137	8	of	of	ADP
cana-1282	137	9	deep	deep	ADJ
cana-1282	137	10	attention	attention	NOUN
cana-1282	137	11	resnet	resnet	NOUN
cana-1282	137	12	is	be	AUX
cana-1282	137	13	the	the	DET
cana-1282	137	14	application	application	NOUN
cana-1282	137	15	of	of	ADP
cana-1282	137	16	residual	residual	ADJ
cana-1282	137	17	networks	network	NOUN
cana-1282	137	18	,	,	PUNCT
cana-1282	137	19	designed	design	VERB
cana-1282	137	20	to	to	PART
cana-1282	137	21	address	address	VERB
cana-1282	137	22	the	the	DET
cana-1282	137	23	routinely	routinely	ADV
cana-1282	137	24	recurring	recur	VERB
cana-1282	137	25	vanishing	vanish	VERB
cana-1282	137	26	gradient	gradient	ADJ
cana-1282	137	27	problem	problem	NOUN
cana-1282	137	28	in	in	ADP
cana-1282	137	29	deep	deep	ADJ
cana-1282	137	30	neural	neural	ADJ
cana-1282	137	31	networks	network	NOUN
cana-1282	137	32	.	.	PUNCT
cana-1282	138	1	resnet	resnet	PROPN
cana-1282	138	2	does	do	VERB
cana-1282	138	3	this	this	PRON
cana-1282	138	4	by	by	ADP
cana-1282	138	5	incorporating	incorporate	VERB
cana-1282	138	6	skip	skip	ADJ
cana-1282	138	7	connections	connection	NOUN
cana-1282	138	8	—	—	PUNCT
cana-1282	138	9	that	that	ADV
cana-1282	138	10	is	is	ADV
cana-1282	138	11	,	,	PUNCT
cana-1282	138	12	shortcut	shortcut	NOUN
cana-1282	138	13	connections	connection	NOUN
cana-1282	138	14	—	—	PUNCT
cana-1282	138	15	that	that	PRON
cana-1282	138	16	bypass	bypass	VERB
cana-1282	138	17	one	one	NUM
cana-1282	138	18	or	or	CCONJ
cana-1282	138	19	more	more	ADJ
cana-1282	138	20	layers	layer	NOUN
cana-1282	138	21	.	.	PUNCT
cana-1282	139	1	these	these	DET
cana-1282	139	2	shortcuts	shortcut	NOUN
cana-1282	139	3	allow	allow	VERB
cana-1282	139	4	the	the	DET
cana-1282	139	5	model	model	NOUN
cana-1282	139	6	resnet	resnet	VERB
cana-1282	139	7	the	the	DET
cana-1282	139	8	original	original	ADJ
cana-1282	139	9	mapping	mapping	NOUN
cana-1282	139	10	to	to	PART
cana-1282	139	11	be	be	AUX
cana-1282	139	12	learned	learn	VERB
cana-1282	139	13	as	as	ADP
cana-1282	139	14	f(x	f(x	PROPN
cana-1282	139	15	)	)	PUNCT
cana-1282	140	1	+	+	SYM
cana-1282	140	2	x	x	X
cana-1282	140	3	,	,	PUNCT
cana-1282	140	4	where	where	SCONJ
cana-1282	140	5	x	x	PRON
cana-1282	140	6	is	be	AUX
cana-1282	140	7	the	the	DET
cana-1282	140	8	input	input	NOUN
cana-1282	140	9	to	to	ADP
cana-1282	140	10	the	the	DET
cana-1282	140	11	residual	residual	ADJ
cana-1282	140	12	block	block	NOUN
cana-1282	140	13	mathematically	mathematically	ADV
cana-1282	140	14	by	by	ADP
cana-1282	140	15	learning	learn	VERB
cana-1282	140	16	residual	residual	ADJ
cana-1282	140	17	mappings	mapping	NOUN
cana-1282	140	18	instead	instead	ADV
cana-1282	140	19	of	of	ADP
cana-1282	140	20	explicitly	explicitly	ADV
cana-1282	140	21	trying	try	VERB
cana-1282	140	22	to	to	PART
cana-1282	140	23	learn	learn	VERB
cana-1282	140	24	unreferenced	unreferenced	ADJ
cana-1282	140	25	mappings	mapping	NOUN
cana-1282	140	26	.	.	PUNCT
cana-1282	141	1	this	this	DET
cana-1282	141	2	approach	approach	NOUN
cana-1282	141	3	simplifies	simplify	VERB
cana-1282	141	4	the	the	DET
cana-1282	141	5	learning	learning	NOUN
cana-1282	141	6	process	process	NOUN
cana-1282	141	7	by	by	ADP
cana-1282	141	8	focusing	focus	VERB
cana-1282	141	9	on	on	ADP
cana-1282	141	10	learning	learn	VERB
cana-1282	141	11	just	just	ADV
cana-1282	141	12	the	the	DET
cana-1282	141	13	residuals	residual	NOUN
cana-1282	141	14	,	,	PUNCT
cana-1282	141	15	or	or	CCONJ
cana-1282	141	16	variations	variation	NOUN
cana-1282	141	17	,	,	PUNCT
cana-1282	141	18	instead	instead	ADV
cana-1282	141	19	of	of	ADP
cana-1282	141	20	the	the	DET
cana-1282	141	21	complete	complete	ADJ
cana-1282	141	22	mapping	mapping	NOUN
cana-1282	141	23	,	,	PUNCT
cana-1282	141	24	therefore	therefore	ADV
cana-1282	141	25	enabling	enable	VERB
cana-1282	141	26	the	the	DET
cana-1282	141	27	training	training	NOUN
cana-1282	141	28	of	of	ADP
cana-1282	141	29	far	far	ADV
cana-1282	141	30	deeper	deep	ADJ
cana-1282	141	31	networks	network	NOUN
cana-1282	141	32	.	.	PUNCT
cana-1282	142	1	attention	attention	NOUN
cana-1282	142	2	mechanisms	mechanism	NOUN
cana-1282	142	3	including	include	VERB
cana-1282	142	4	attention	attention	NOUN
cana-1282	142	5	mechanisms	mechanism	NOUN
cana-1282	142	6	into	into	ADP
cana-1282	142	7	resnet	resnet	NOUN
cana-1282	142	8	helps	help	VERB
cana-1282	142	9	it	it	PRON
cana-1282	142	10	to	to	PART
cana-1282	142	11	focus	focus	VERB
cana-1282	142	12	more	more	ADV
cana-1282	142	13	on	on	ADP
cana-1282	142	14	specific	specific	ADJ
cana-1282	142	15	regions	region	NOUN
cana-1282	142	16	of	of	ADP
cana-1282	142	17	the	the	DET
cana-1282	142	18	input	input	NOUN
cana-1282	142	19	data	datum	NOUN
cana-1282	142	20	more	more	ADV
cana-1282	142	21	relevant	relevant	ADJ
cana-1282	142	22	for	for	ADP
cana-1282	142	23	the	the	DET
cana-1282	142	24	prediction	prediction	NOUN
cana-1282	142	25	goal	goal	NOUN
cana-1282	142	26	.	.	PUNCT
cana-1282	143	1	attention	attention	NOUN
cana-1282	143	2	methods	method	NOUN
cana-1282	143	3	assist	assist	VERB
cana-1282	143	4	the	the	DET
cana-1282	143	5	model	model	NOUN
cana-1282	143	6	to	to	PART
cana-1282	143	7	prioritize	prioritize	VERB
cana-1282	143	8	significant	significant	ADJ
cana-1282	143	9	communications	communication	NOUN
cana-1282	143	10	on	on	ADP
cana-1282	143	11	applied	apply	VERB
cana-1282	143	12	nonlinear	nonlinear	ADJ
cana-1282	143	13	analysis	analysis	NOUN
cana-1282	143	14	issn	issn	NOUN
cana-1282	143	15	:	:	PUNCT
cana-1282	143	16	1074	1074	NUM
cana-1282	143	17	-	-	PUNCT
cana-1282	143	18	133x	133x	NUM
cana-1282	143	19	vol	vol	NOUN
cana-1282	143	20	31	31	NUM
cana-1282	143	21	no	no	NOUN
cana-1282	143	22	.	.	PUNCT
cana-1282	144	1	7s	7	NOUN
cana-1282	144	2	(	(	PUNCT
cana-1282	144	3	2024	2024	NUM
cana-1282	144	4	)	)	PUNCT
cana-1282	144	5	46	46	NUM
cana-1282	144	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1282	144	7	features	feature	NOUN
cana-1282	144	8	while	while	SCONJ
cana-1282	144	9	lowering	lower	VERB
cana-1282	144	10	less	less	ADV
cana-1282	144	11	relevant	relevant	ADJ
cana-1282	144	12	ones	one	NOUN
cana-1282	144	13	by	by	ADP
cana-1282	144	14	providing	provide	VERB
cana-1282	144	15	different	different	ADJ
cana-1282	144	16	degrees	degree	NOUN
cana-1282	144	17	of	of	ADP
cana-1282	144	18	relevance	relevance	NOUN
cana-1282	144	19	,	,	PUNCT
cana-1282	144	20	or	or	CCONJ
cana-1282	144	21	weights	weight	NOUN
cana-1282	144	22	,	,	PUNCT
cana-1282	144	23	so	so	ADV
cana-1282	144	24	guiding	guide	VERB
cana-1282	144	25	the	the	DET
cana-1282	144	26	model	model	NOUN
cana-1282	144	27	.	.	PUNCT
cana-1282	145	1	this	this	DET
cana-1282	145	2	selective	selective	ADJ
cana-1282	145	3	focus	focus	NOUN
cana-1282	145	4	is	be	AUX
cana-1282	145	5	quite	quite	ADV
cana-1282	145	6	beneficial	beneficial	ADJ
cana-1282	145	7	with	with	ADP
cana-1282	145	8	educational	educational	ADJ
cana-1282	145	9	data	datum	NOUN
cana-1282	145	10	,	,	PUNCT
cana-1282	145	11	as	as	SCONJ
cana-1282	145	12	some	some	DET
cana-1282	145	13	factors	factor	NOUN
cana-1282	145	14	,	,	PUNCT
cana-1282	145	15	such	such	ADJ
cana-1282	145	16	past	past	ADJ
cana-1282	145	17	performance	performance	NOUN
cana-1282	145	18	or	or	CCONJ
cana-1282	145	19	engagement	engagement	NOUN
cana-1282	145	20	levels	level	NOUN
cana-1282	145	21	,	,	PUNCT
cana-1282	145	22	may	may	AUX
cana-1282	145	23	have	have	VERB
cana-1282	145	24	more	more	ADJ
cana-1282	145	25	influence	influence	NOUN
cana-1282	145	26	on	on	ADP
cana-1282	145	27	future	future	ADJ
cana-1282	145	28	results	result	NOUN
cana-1282	145	29	than	than	ADP
cana-1282	145	30	others	other	NOUN
cana-1282	145	31	.	.	PUNCT
cana-1282	146	1	the	the	DET
cana-1282	146	2	attention	attention	NOUN
cana-1282	146	3	mechanism	mechanism	NOUN
cana-1282	146	4	can	can	AUX
cana-1282	146	5	be	be	AUX
cana-1282	146	6	expressed	express	VERB
cana-1282	146	7	mathematically	mathematically	ADV
cana-1282	146	8	as	as	ADP
cana-1282	146	9	a	a	DET
cana-1282	146	10	weighted	weighted	ADJ
cana-1282	146	11	sum	sum	NOUN
cana-1282	146	12	of	of	ADP
cana-1282	146	13	input	input	NOUN
cana-1282	146	14	features	feature	NOUN
cana-1282	146	15	,	,	PUNCT
cana-1282	146	16	where	where	SCONJ
cana-1282	146	17	a	a	DET
cana-1282	146	18	learned	learn	VERB
cana-1282	146	19	function	function	NOUN
cana-1282	146	20	assigns	assign	VERB
cana-1282	146	21	higher	high	ADJ
cana-1282	146	22	values	value	NOUN
cana-1282	146	23	to	to	ADP
cana-1282	146	24	more	more	ADV
cana-1282	146	25	important	important	ADJ
cana-1282	146	26	features	feature	NOUN
cana-1282	146	27	thereby	thereby	ADV
cana-1282	146	28	defining	define	VERB
cana-1282	146	29	the	the	DET
cana-1282	146	30	weights	weight	NOUN
cana-1282	146	31	.	.	PUNCT
cana-1282	147	1	(	(	PUNCT
cana-1282	147	2	,	,	PUNCT
cana-1282	147	3	,	,	PUNCT
cana-1282	147	4	)	)	PUNCT
cana-1282	147	5	softmax	softmax	PROPN
cana-1282	147	6	t	t	PROPN
cana-1282	148	1	k	k	PROPN
cana-1282	148	2	qk	qk	PROPN
cana-1282	148	3	v	v	PROPN
cana-1282	148	4	q	q	PROPN
cana-1282	149	1	k	k	INTJ
cana-1282	149	2	v	v	PROPN
cana-1282	149	3	d	d	PROPN
cana-1282	149	4			NOUN
cana-1282	149	5			NOUN
cana-1282	149	6	=	=	SYM
cana-1282	149	7			PROPN
cana-1282	150	1			INTJ
cana-1282	151	1			PROPN
cana-1282	151	2			PROPN
cana-1282	152	1			PROPN
cana-1282	152	2			PROPN
cana-1282	152	3	q	q	NOUN
cana-1282	152	4	,	,	PUNCT
cana-1282	152	5	k	k	NOUN
cana-1282	152	6	,	,	PUNCT
cana-1282	152	7	and	and	CCONJ
cana-1282	152	8	v	v	AUX
cana-1282	152	9	define	define	VERB
cana-1282	152	10	the	the	DET
cana-1282	152	11	query	query	NOUN
cana-1282	152	12	,	,	PUNCT
cana-1282	152	13	key	key	ADJ
cana-1282	152	14	,	,	PUNCT
cana-1282	152	15	and	and	CCONJ
cana-1282	152	16	value	value	NOUN
cana-1282	152	17	matrices	matrix	NOUN
cana-1282	152	18	;	;	PUNCT
cana-1282	152	19	the	the	DET
cana-1282	152	20	dimension	dimension	NOUN
cana-1282	152	21	of	of	ADP
cana-1282	152	22	the	the	DET
cana-1282	152	23	key	key	ADJ
cana-1282	152	24	vectors	vector	NOUN
cana-1282	152	25	is	be	AUX
cana-1282	152	26	dk	dk	PROPN
cana-1282	152	27	.	.	PUNCT
cana-1282	153	1	the	the	DET
cana-1282	153	2	softmax	softmax	NOUN
cana-1282	153	3	function	function	NOUN
cana-1282	153	4	ensures	ensure	VERB
cana-1282	153	5	that	that	SCONJ
cana-1282	153	6	the	the	DET
cana-1282	153	7	attention	attention	NOUN
cana-1282	153	8	weights	weight	VERB
cana-1282	153	9	total	total	ADJ
cana-1282	153	10	one	one	NUM
cana-1282	153	11	,	,	PUNCT
cana-1282	153	12	therefore	therefore	ADV
cana-1282	153	13	generating	generate	VERB
cana-1282	153	14	a	a	DET
cana-1282	153	15	probability	probability	NOUN
cana-1282	153	16	distribution	distribution	NOUN
cana-1282	153	17	stressing	stress	VERB
cana-1282	153	18	the	the	DET
cana-1282	153	19	most	most	ADV
cana-1282	153	20	significant	significant	ADJ
cana-1282	153	21	features	feature	NOUN
cana-1282	153	22	.	.	PUNCT
cana-1282	154	1	attention	attention	NOUN
cana-1282	154	2	with	with	ADP
cana-1282	154	3	resnet	resnet	PROPN
cana-1282	154	4	resnet	resnet	NOUN
cana-1282	154	5	's	's	PART
cana-1282	154	6	use	use	NOUN
cana-1282	154	7	of	of	ADP
cana-1282	154	8	attention	attention	NOUN
cana-1282	154	9	techniques	technique	NOUN
cana-1282	154	10	means	mean	VERB
cana-1282	154	11	adding	add	VERB
cana-1282	154	12	layers	layer	NOUN
cana-1282	154	13	either	either	CCONJ
cana-1282	154	14	within	within	ADP
cana-1282	154	15	or	or	CCONJ
cana-1282	154	16	outside	outside	ADV
cana-1282	154	17	of	of	ADP
cana-1282	154	18	residual	residual	ADJ
cana-1282	154	19	blocks	block	NOUN
cana-1282	154	20	,	,	PUNCT
cana-1282	154	21	therefore	therefore	ADV
cana-1282	154	22	enabling	enable	VERB
cana-1282	154	23	the	the	DET
cana-1282	154	24	network	network	NOUN
cana-1282	154	25	to	to	PART
cana-1282	154	26	dynamically	dynamically	ADV
cana-1282	154	27	adjust	adjust	VERB
cana-1282	154	28	the	the	DET
cana-1282	154	29	importance	importance	NOUN
cana-1282	154	30	of	of	ADP
cana-1282	154	31	attributes	attribute	NOUN
cana-1282	154	32	depending	depend	VERB
cana-1282	154	33	on	on	ADP
cana-1282	154	34	the	the	DET
cana-1282	154	35	specific	specific	ADJ
cana-1282	154	36	context	context	NOUN
cana-1282	154	37	of	of	ADP
cana-1282	154	38	the	the	DET
cana-1282	154	39	incoming	incoming	ADJ
cana-1282	154	40	input	input	NOUN
cana-1282	154	41	.	.	PUNCT
cana-1282	155	1	the	the	DET
cana-1282	155	2	deep	deep	ADJ
cana-1282	155	3	attention	attention	NOUN
cana-1282	155	4	resnet	resnet	NOUN
cana-1282	155	5	can	can	AUX
cana-1282	155	6	effectively	effectively	ADV
cana-1282	155	7	record	record	VERB
cana-1282	155	8	contextual	contextual	ADJ
cana-1282	155	9	and	and	CCONJ
cana-1282	155	10	spatial	spatial	ADJ
cana-1282	155	11	dependencies	dependency	NOUN
cana-1282	155	12	inside	inside	ADP
cana-1282	155	13	the	the	DET
cana-1282	155	14	data	datum	NOUN
cana-1282	155	15	by	by	ADP
cana-1282	155	16	way	way	NOUN
cana-1282	155	17	of	of	ADP
cana-1282	155	18	this	this	DET
cana-1282	155	19	integration	integration	NOUN
cana-1282	155	20	.	.	PUNCT
cana-1282	156	1	this	this	PRON
cana-1282	156	2	suggests	suggest	VERB
cana-1282	156	3	that	that	SCONJ
cana-1282	156	4	in	in	ADP
cana-1282	156	5	an	an	DET
cana-1282	156	6	educational	educational	ADJ
cana-1282	156	7	setting	set	VERB
cana-1282	156	8	the	the	DET
cana-1282	156	9	model	model	NOUN
cana-1282	156	10	can	can	AUX
cana-1282	156	11	better	well	ADV
cana-1282	156	12	understand	understand	VERB
cana-1282	156	13	the	the	DET
cana-1282	156	14	nuances	nuance	NOUN
cana-1282	156	15	of	of	ADP
cana-1282	156	16	student	student	NOUN
cana-1282	156	17	performance	performance	NOUN
cana-1282	156	18	and	and	CCONJ
cana-1282	156	19	behavior	behavior	NOUN
cana-1282	156	20	,	,	PUNCT
cana-1282	156	21	so	so	ADV
cana-1282	156	22	generating	generate	VERB
cana-1282	156	23	more	more	ADV
cana-1282	156	24	accurate	accurate	ADJ
cana-1282	156	25	projections	projection	NOUN
cana-1282	156	26	and	and	CCONJ
cana-1282	156	27	individualized	individualized	ADJ
cana-1282	156	28	learning	learning	NOUN
cana-1282	156	29	paths	path	NOUN
cana-1282	156	30	.	.	PUNCT
cana-1282	157	1	the	the	DET
cana-1282	157	2	deep	deep	ADJ
cana-1282	157	3	attention	attention	NOUN
cana-1282	157	4	resnet	resnet	NOUN
cana-1282	157	5	design	design	NOUN
cana-1282	157	6	consists	consist	VERB
cana-1282	157	7	in	in	ADP
cana-1282	157	8	several	several	ADJ
cana-1282	157	9	residual	residual	ADJ
cana-1282	157	10	blocks	block	NOUN
cana-1282	157	11	distributed	distribute	VERB
cana-1282	157	12	over	over	ADP
cana-1282	157	13	several	several	ADJ
cana-1282	157	14	layers	layer	NOUN
cana-1282	157	15	of	of	ADP
cana-1282	157	16	attention	attention	NOUN
cana-1282	157	17	.	.	PUNCT
cana-1282	158	1	every	every	DET
cana-1282	158	2	residual	residual	ADJ
cana-1282	158	3	block	block	NOUN
cana-1282	158	4	catches	catch	VERB
cana-1282	158	5	various	various	ADJ
cana-1282	158	6	degrees	degree	NOUN
cana-1282	158	7	of	of	ADP
cana-1282	158	8	feature	feature	NOUN
cana-1282	158	9	abstraction	abstraction	NOUN
cana-1282	158	10	,	,	PUNCT
cana-1282	158	11	even	even	ADV
cana-1282	158	12	while	while	SCONJ
cana-1282	158	13	the	the	DET
cana-1282	158	14	attention	attention	NOUN
cana-1282	158	15	layers	layer	NOUN
cana-1282	158	16	ensure	ensure	VERB
cana-1282	158	17	that	that	SCONJ
cana-1282	158	18	the	the	DET
cana-1282	158	19	model	model	NOUN
cana-1282	158	20	focuses	focus	VERB
cana-1282	158	21	on	on	ADP
cana-1282	158	22	the	the	DET
cana-1282	158	23	most	most	ADV
cana-1282	158	24	relevant	relevant	ADJ
cana-1282	158	25	characteristics	characteristic	NOUN
cana-1282	158	26	.	.	PUNCT
cana-1282	159	1	this	this	DET
cana-1282	159	2	architecture	architecture	NOUN
cana-1282	159	3	enables	enable	VERB
cana-1282	159	4	the	the	DET
cana-1282	159	5	model	model	NOUN
cana-1282	159	6	to	to	PART
cana-1282	159	7	retain	retain	VERB
cana-1282	159	8	the	the	DET
cana-1282	159	9	benefits	benefit	NOUN
cana-1282	159	10	of	of	ADP
cana-1282	159	11	deep	deep	ADJ
cana-1282	159	12	residual	residual	ADJ
cana-1282	159	13	learning	learning	NOUN
cana-1282	159	14	and	and	CCONJ
cana-1282	159	15	increase	increase	VERB
cana-1282	159	16	its	its	PRON
cana-1282	159	17	power	power	NOUN
cana-1282	159	18	to	to	PART
cana-1282	159	19	identify	identify	VERB
cana-1282	159	20	and	and	CCONJ
cana-1282	159	21	apply	apply	VERB
cana-1282	159	22	significant	significant	ADJ
cana-1282	159	23	trends	trend	NOUN
cana-1282	159	24	in	in	ADP
cana-1282	159	25	the	the	DET
cana-1282	159	26	data	datum	NOUN
cana-1282	159	27	.	.	PUNCT
cana-1282	160	1	the	the	DET
cana-1282	160	2	transformation	transformation	NOUN
cana-1282	160	3	of	of	ADP
cana-1282	160	4	input	input	NOUN
cana-1282	160	5	data	datum	NOUN
cana-1282	160	6	through	through	ADP
cana-1282	160	7	a	a	DET
cana-1282	160	8	convolutional	convolutional	ADJ
cana-1282	160	9	layer	layer	NOUN
cana-1282	160	10	,	,	PUNCT
cana-1282	160	11	z	z	PROPN
cana-1282	160	12	w	w	NOUN
cana-1282	160	13	x	x	NOUN
cana-1282	160	14	b=	b=	NOUN
cana-1282	160	15			PROPN
cana-1282	160	16	+	+	CCONJ
cana-1282	160	17	where	where	SCONJ
cana-1282	160	18	w	w	NOUN
cana-1282	160	19	weight	weight	NOUN
cana-1282	160	20	matrix	matrix	NOUN
cana-1282	160	21	,	,	PUNCT
cana-1282	160	22	b	b	X
cana-1282	160	23	bias	bias	NOUN
cana-1282	160	24	vector	vector	NOUN
cana-1282	160	25	,	,	PUNCT
cana-1282	160	26	and	and	CCONJ
cana-1282	160	27	x	x	ADJ
cana-1282	160	28	input	input	NOUN
cana-1282	160	29	.	.	PUNCT
cana-1282	161	1	the	the	DET
cana-1282	161	2	relu	relu	NOUN
cana-1282	161	3	activation	activation	NOUN
cana-1282	161	4	function	function	NOUN
cana-1282	161	5	,	,	PUNCT
cana-1282	161	6	used	use	VERB
cana-1282	161	7	in	in	ADP
cana-1282	161	8	residual	residual	ADJ
cana-1282	161	9	blocks	block	NOUN
cana-1282	161	10	to	to	PART
cana-1282	161	11	introduce	introduce	VERB
cana-1282	161	12	non	non	ADJ
cana-1282	161	13	-	-	ADJ
cana-1282	161	14	linearity	linearity	ADJ
cana-1282	161	15	,	,	PUNCT
cana-1282	161	16	is	be	AUX
cana-1282	161	17	defined	define	VERB
cana-1282	161	18	as	as	ADP
cana-1282	161	19	:	:	PUNCT
cana-1282	161	20	(	(	PUNCT
cana-1282	161	21	)	)	PUNCT
cana-1282	161	22	max(0	max(0	NOUN
cana-1282	161	23	,	,	PUNCT
cana-1282	161	24	)	)	PUNCT
cana-1282	161	25	f	f	PROPN
cana-1282	162	1	x	x	X
cana-1282	162	2	x=	x=	PROPN
cana-1282	163	1	the	the	DET
cana-1282	163	2	core	core	ADJ
cana-1282	163	3	idea	idea	NOUN
cana-1282	163	4	of	of	ADP
cana-1282	163	5	a	a	DET
cana-1282	163	6	resnet	resnet	NOUN
cana-1282	163	7	block	block	NOUN
cana-1282	163	8	is	be	AUX
cana-1282	163	9	to	to	PART
cana-1282	163	10	learn	learn	VERB
cana-1282	163	11	the	the	DET
cana-1282	163	12	residual	residual	ADJ
cana-1282	163	13	mapping	mapping	NOUN
cana-1282	163	14	f(x	f(x	PROPN
cana-1282	163	15	)	)	PUNCT
cana-1282	163	16	,	,	PUNCT
cana-1282	163	17	added	add	VERB
cana-1282	163	18	to	to	ADP
cana-1282	163	19	the	the	DET
cana-1282	163	20	input	input	NOUN
cana-1282	163	21	x.	x.	NOUN
cana-1282	163	22	(	(	PUNCT
cana-1282	163	23	)	)	PUNCT
cana-1282	163	24	y	y	PROPN
cana-1282	163	25	f	f	PROPN
cana-1282	163	26	x	x	X
cana-1282	163	27	x=	x=	PUNCT
cana-1282	164	1	+	+	CCONJ
cana-1282	164	2	the	the	DET
cana-1282	164	3	output	output	NOUN
cana-1282	164	4	of	of	ADP
cana-1282	164	5	a	a	DET
cana-1282	164	6	residual	residual	ADJ
cana-1282	164	7	block	block	NOUN
cana-1282	164	8	with	with	ADP
cana-1282	164	9	two	two	NUM
cana-1282	164	10	convolutional	convolutional	ADJ
cana-1282	164	11	layers	layer	NOUN
cana-1282	164	12	.	.	PUNCT
cana-1282	165	1	2	2	NUM
cana-1282	165	2	1	1	NUM
cana-1282	165	3	1	1	NUM
cana-1282	165	4	2	2	NUM
cana-1282	165	5	(	(	PUNCT
cana-1282	165	6	(	(	PUNCT
cana-1282	165	7	)	)	PUNCT
cana-1282	165	8	)	)	PUNCT
cana-1282	166	1	y	y	PROPN
cana-1282	166	2	f	f	PROPN
cana-1282	166	3	w	w	PROPN
cana-1282	166	4	f	f	PROPN
cana-1282	166	5	w	w	PROPN
cana-1282	166	6	x	x	PROPN
cana-1282	166	7	b	b	PROPN
cana-1282	166	8	b	b	PROPN
cana-1282	166	9	x=	x=	PROPN
cana-1282	167	1			PROPN
cana-1282	167	2			PROPN
cana-1282	167	3	+	+	SYM
cana-1282	167	4	+	+	CCONJ
cana-1282	167	5	+	+	CCONJ
cana-1282	167	6	normalizing	normalizing	ADJ
cana-1282	167	7	activations	activation	NOUN
cana-1282	167	8	to	to	PART
cana-1282	167	9	reduce	reduce	VERB
cana-1282	167	10	internal	internal	ADJ
cana-1282	167	11	covariate	covariate	ADJ
cana-1282	167	12	shift	shift	NOUN
cana-1282	167	13	,	,	PUNCT
cana-1282	167	14	where	where	SCONJ
cana-1282	167	15			NOUN
cana-1282	167	16	and	and	CCONJ
cana-1282	167	17	2	2	NUM
cana-1282	167	18	are	be	AUX
cana-1282	167	19	the	the	DET
cana-1282	167	20	mini	mini	NOUN
cana-1282	167	21	-	-	NOUN
cana-1282	167	22	batch	batch	NOUN
cana-1282	167	23	mean	mean	NOUN
cana-1282	167	24	and	and	CCONJ
cana-1282	167	25	variance	variance	NOUN
cana-1282	167	26	,	,	PUNCT
cana-1282	167	27	respectively	respectively	ADV
cana-1282	167	28	.	.	PUNCT
cana-1282	168	1	communications	communication	NOUN
cana-1282	168	2	on	on	ADP
cana-1282	168	3	applied	apply	VERB
cana-1282	168	4	nonlinear	nonlinear	ADJ
cana-1282	168	5	analysis	analysis	NOUN
cana-1282	168	6	issn	issn	NOUN
cana-1282	168	7	:	:	PUNCT
cana-1282	168	8	1074	1074	NUM
cana-1282	168	9	-	-	PUNCT
cana-1282	168	10	133x	133x	NUM
cana-1282	168	11	vol	vol	NOUN
cana-1282	168	12	31	31	NUM
cana-1282	168	13	no	no	NOUN
cana-1282	168	14	.	.	PUNCT
cana-1282	169	1	7s	7	NOUN
cana-1282	169	2	(	(	PUNCT
cana-1282	169	3	2024	2024	NUM
cana-1282	169	4	)	)	PUNCT
cana-1282	169	5	47	47	NUM
cana-1282	169	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1282	169	7	2	2	NUM
cana-1282	169	8	ˆ	ˆ	NOUN
cana-1282	169	9	x	x	NOUN
cana-1282	169	10	x	x	NOUN
cana-1282	169	11			NOUN
cana-1282	169	12			NOUN
cana-1282	169	13	−	−	NOUN
cana-1282	170	1	=	=	SYM
cana-1282	170	2	+	+	ADP
cana-1282	170	3	ò	ò	X
cana-1282	170	4	the	the	DET
cana-1282	170	5	final	final	ADJ
cana-1282	170	6	layer	layer	NOUN
cana-1282	170	7	in	in	ADP
cana-1282	170	8	a	a	DET
cana-1282	170	9	classification	classification	NOUN
cana-1282	170	10	task	task	NOUN
cana-1282	170	11	,	,	PUNCT
cana-1282	170	12	using	use	VERB
cana-1282	170	13	a	a	DET
cana-1282	170	14	sigmoid	sigmoid	NOUN
cana-1282	170	15	or	or	CCONJ
cana-1282	170	16	softmax	softmax	NOUN
cana-1282	170	17	for	for	ADP
cana-1282	170	18	binary	binary	ADJ
cana-1282	170	19	or	or	CCONJ
cana-1282	170	20	multi	multi	ADJ
cana-1282	170	21	-	-	ADJ
cana-1282	170	22	class	class	ADJ
cana-1282	170	23	classification	classification	NOUN
cana-1282	170	24	,	,	PUNCT
cana-1282	170	25	respectively	respectively	ADV
cana-1282	170	26	.	.	PUNCT
cana-1282	171	1	output	output	NOUN
cana-1282	171	2	final	final	ADJ
cana-1282	171	3	final	final	ADJ
cana-1282	171	4	final	final	ADJ
cana-1282	171	5	(	(	PUNCT
cana-1282	171	6	)	)	PUNCT
cana-1282	171	7	y	y	PROPN
cana-1282	171	8	w	w	NOUN
cana-1282	171	9	x	x	VERB
cana-1282	171	10	b=	b=	PROPN
cana-1282	171	11			NUM
cana-1282	171	12	+	+	CCONJ
cana-1282	171	13	6	6	NUM
cana-1282	171	14	.	.	PUNCT
cana-1282	171	15	performance	performance	NOUN
cana-1282	171	16	evaluation	evaluation	NOUN
cana-1282	171	17	in	in	ADP
cana-1282	171	18	the	the	DET
cana-1282	171	19	experimental	experimental	ADJ
cana-1282	171	20	setup	setup	NOUN
cana-1282	171	21	assessing	assess	VERB
cana-1282	171	22	the	the	DET
cana-1282	171	23	deep	deep	ADJ
cana-1282	171	24	attention	attention	NOUN
cana-1282	171	25	resnet	resnet	NOUN
cana-1282	171	26	(	(	PUNCT
cana-1282	171	27	dran	dran	ADJ
cana-1282	171	28	)	)	PUNCT
cana-1282	171	29	,	,	PUNCT
cana-1282	171	30	simulations	simulation	NOUN
cana-1282	171	31	on	on	ADP
cana-1282	171	32	highperformance	highperformance	NOUN
cana-1282	171	33	computing	computing	NOUN
cana-1282	171	34	systems	system	NOUN
cana-1282	171	35	using	use	VERB
cana-1282	171	36	the	the	DET
cana-1282	171	37	tensorflow	tensorflow	NOUN
cana-1282	171	38	framework	framework	NOUN
cana-1282	171	39	were	be	AUX
cana-1282	171	40	performed	perform	VERB
cana-1282	171	41	.	.	PUNCT
cana-1282	172	1	intel	intel	PROPN
cana-1282	172	2	i7	i7	NOUN
cana-1282	172	3	cpus	cpu	NOUN
cana-1282	172	4	enabled	enable	VERB
cana-1282	172	5	efficient	efficient	ADJ
cana-1282	172	6	handling	handling	NOUN
cana-1282	172	7	of	of	ADP
cana-1282	172	8	large	large	ADJ
cana-1282	172	9	datasets	dataset	NOUN
cana-1282	172	10	and	and	CCONJ
cana-1282	172	11	complex	complex	ADJ
cana-1282	172	12	computations	computation	NOUN
cana-1282	172	13	;	;	PUNCT
cana-1282	172	14	the	the	DET
cana-1282	172	15	hardware	hardware	NOUN
cana-1282	172	16	layout	layout	NOUN
cana-1282	172	17	featured	feature	VERB
cana-1282	172	18	servers	server	NOUN
cana-1282	172	19	with	with	ADP
cana-1282	172	20	64	64	NUM
cana-1282	172	21	gb	gb	NOUN
cana-1282	172	22	of	of	ADP
cana-1282	172	23	ram	ram	NOUN
cana-1282	172	24	.	.	PUNCT
cana-1282	173	1	pretreatment	pretreatment	NOUN
cana-1282	173	2	techniques	technique	NOUN
cana-1282	173	3	ensuring	ensure	VERB
cana-1282	173	4	data	datum	NOUN
cana-1282	173	5	quality	quality	NOUN
cana-1282	173	6	and	and	CCONJ
cana-1282	173	7	consistency	consistency	NOUN
cana-1282	173	8	meant	mean	VERB
cana-1282	173	9	that	that	SCONJ
cana-1282	173	10	the	the	DET
cana-1282	173	11	datasets	dataset	NOUN
cana-1282	173	12	used	use	VERB
cana-1282	173	13	were	be	AUX
cana-1282	173	14	from	from	ADP
cana-1282	173	15	student	student	NOUN
cana-1282	173	16	performance	performance	NOUN
cana-1282	173	17	records	record	NOUN
cana-1282	173	18	,	,	PUNCT
cana-1282	173	19	attendance	attendance	NOUN
cana-1282	173	20	logs	log	NOUN
cana-1282	173	21	,	,	PUNCT
cana-1282	173	22	and	and	CCONJ
cana-1282	173	23	engagement	engagement	NOUN
cana-1282	173	24	statistics	statistic	NOUN
cana-1282	173	25	from	from	ADP
cana-1282	173	26	several	several	ADJ
cana-1282	173	27	mba	mba	NOUN
cana-1282	173	28	institutions	institution	NOUN
cana-1282	173	29	.	.	PUNCT
cana-1282	174	1	developed	develop	VERB
cana-1282	174	2	with	with	ADP
cana-1282	174	3	a	a	DET
cana-1282	174	4	deep	deep	ADJ
cana-1282	174	5	architecture	architecture	NOUN
cana-1282	174	6	integrating	integrate	VERB
cana-1282	174	7	residual	residual	ADJ
cana-1282	174	8	blocks	block	NOUN
cana-1282	174	9	and	and	CCONJ
cana-1282	174	10	attention	attention	NOUN
cana-1282	174	11	approaches	approach	NOUN
cana-1282	174	12	,	,	PUNCT
cana-1282	174	13	trained	train	VERB
cana-1282	174	14	across	across	ADP
cana-1282	174	15	50	50	NUM
cana-1282	174	16	epochs	epoch	NOUN
cana-1282	174	17	with	with	ADP
cana-1282	174	18	a	a	DET
cana-1282	174	19	batch	batch	NOUN
cana-1282	174	20	size	size	NOUN
cana-1282	174	21	of	of	ADP
cana-1282	174	22	32	32	NUM
cana-1282	174	23	.	.	PUNCT
cana-1282	175	1	optimizing	optimize	VERB
cana-1282	175	2	with	with	ADP
cana-1282	175	3	a	a	DET
cana-1282	175	4	learning	learn	VERB
cana-1282	175	5	rate	rate	NOUN
cana-1282	175	6	of	of	ADP
cana-1282	175	7	0.001	0.001	NUM
cana-1282	175	8	,	,	PUNCT
cana-1282	175	9	the	the	DET
cana-1282	175	10	training	training	NOUN
cana-1282	175	11	employed	employ	VERB
cana-1282	175	12	mean	mean	VERB
cana-1282	175	13	squared	square	VERB
cana-1282	175	14	error	error	NOUN
cana-1282	175	15	loss	loss	NOUN
cana-1282	175	16	function	function	NOUN
cana-1282	175	17	for	for	ADP
cana-1282	175	18	regression	regression	NOUN
cana-1282	175	19	tasks	task	NOUN
cana-1282	175	20	and	and	CCONJ
cana-1282	175	21	cross	cross	ADJ
cana-1282	175	22	-	-	ADJ
cana-1282	175	23	entropy	entropy	ADJ
cana-1282	175	24	loss	loss	NOUN
cana-1282	175	25	for	for	ADP
cana-1282	175	26	classification	classification	NOUN
cana-1282	175	27	tasks	task	NOUN
cana-1282	175	28	.	.	PUNCT
cana-1282	176	1	performance	performance	NOUN
cana-1282	176	2	evaluation	evaluation	NOUN
cana-1282	176	3	of	of	ADP
cana-1282	176	4	the	the	DET
cana-1282	176	5	dran	dran	PROPN
cana-1282	176	6	model	model	NOUN
cana-1282	176	7	included	include	VERB
cana-1282	176	8	accuracy	accuracy	NOUN
cana-1282	176	9	,	,	PUNCT
cana-1282	176	10	precision	precision	NOUN
cana-1282	176	11	,	,	PUNCT
cana-1282	176	12	recall	recall	NOUN
cana-1282	176	13	,	,	PUNCT
cana-1282	176	14	and	and	CCONJ
cana-1282	176	15	f1	f1	NOUN
cana-1282	176	16	-	-	PUNCT
cana-1282	176	17	score	score	NOUN
cana-1282	176	18	for	for	ADP
cana-1282	176	19	classification	classification	NOUN
cana-1282	176	20	tasks	task	NOUN
cana-1282	176	21	;	;	PUNCT
cana-1282	176	22	it	it	PRON
cana-1282	176	23	included	include	VERB
cana-1282	176	24	root	root	NOUN
cana-1282	176	25	mean	mean	VERB
cana-1282	176	26	squared	square	VERB
cana-1282	176	27	error	error	NOUN
cana-1282	176	28	(	(	PUNCT
cana-1282	176	29	rmse	rmse	NOUN
cana-1282	176	30	)	)	PUNCT
cana-1282	176	31	for	for	ADP
cana-1282	176	32	regression	regression	NOUN
cana-1282	176	33	tasks	task	NOUN
cana-1282	176	34	.	.	PUNCT
cana-1282	177	1	among	among	ADP
cana-1282	177	2	several	several	ADJ
cana-1282	177	3	current	current	ADJ
cana-1282	177	4	approaches	approach	NOUN
cana-1282	177	5	compared	compare	VERB
cana-1282	177	6	against	against	ADP
cana-1282	177	7	deep	deep	ADJ
cana-1282	177	8	neural	neural	ADJ
cana-1282	177	9	network	network	NOUN
cana-1282	177	10	(	(	PUNCT
cana-1282	177	11	dnn	dnn	PROPN
cana-1282	177	12	)	)	PUNCT
cana-1282	177	13	,	,	PUNCT
cana-1282	177	14	landau	landau	VERB
cana-1282	177	15	transformation	transformation	NOUN
cana-1282	177	16	,	,	PUNCT
cana-1282	177	17	tlbosvm	tlbosvm	VERB
cana-1282	177	18	,	,	PUNCT
cana-1282	177	19	transfer	transfer	NOUN
cana-1282	177	20	learning	learn	VERB
cana-1282	177	21	hierarchical	hierarchical	ADJ
cana-1282	177	22	attention	attention	NOUN
cana-1282	177	23	networks	network	NOUN
cana-1282	177	24	(	(	PUNCT
cana-1282	177	25	tl	tl	PROPN
cana-1282	177	26	-	-	PUNCT
cana-1282	177	27	han	han	PROPN
cana-1282	177	28	)	)	PUNCT
cana-1282	177	29	,	,	PUNCT
cana-1282	177	30	and	and	CCONJ
cana-1282	177	31	partial	partial	ADJ
cana-1282	177	32	least	least	ADJ
cana-1282	177	33	squares	square	VERB
cana-1282	177	34	structural	structural	ADJ
cana-1282	177	35	equation	equation	NOUN
cana-1282	177	36	modeling	modeling	NOUN
cana-1282	177	37	-	-	PUNCT
cana-1282	177	38	artificial	artificial	ADJ
cana-1282	177	39	neural	neural	ADJ
cana-1282	177	40	network	network	NOUN
cana-1282	177	41	(	(	PUNCT
cana-1282	177	42	pls	pls	INTJ
cana-1282	177	43	-	-	PUNCT
cana-1282	177	44	sem	sem	NOUN
cana-1282	177	45	-	-	PUNCT
cana-1282	177	46	ann	ann	NOUN
cana-1282	177	47	)	)	PUNCT
cana-1282	177	48	.	.	PUNCT
cana-1282	178	1	table	table	NOUN
cana-1282	178	2	2	2	NUM
cana-1282	178	3	:	:	PUNCT
cana-1282	178	4	experimental	experimental	ADJ
cana-1282	178	5	setup	setup	NOUN
cana-1282	178	6	and	and	CCONJ
cana-1282	178	7	parameters	parameter	NOUN
cana-1282	178	8	parameter	parameter	NOUN
cana-1282	178	9	value	value	NOUN
cana-1282	178	10	simulation	simulation	NOUN
cana-1282	178	11	tool	tool	PROPN
cana-1282	178	12	tensorflow	tensorflow	PROPN
cana-1282	178	13	2.8.0	2.8.0	PROPN
cana-1282	178	14	epochs	epoch	VERB
cana-1282	178	15	50	50	NUM
cana-1282	178	16	batch	batch	NOUN
cana-1282	178	17	size	size	NOUN
cana-1282	178	18	32	32	NUM
cana-1282	178	19	optimizer	optimizer	NOUN
cana-1282	178	20	adam	adam	NOUN
cana-1282	178	21	learning	learning	PROPN
cana-1282	178	22	rate	rate	NOUN
cana-1282	178	23	0.001	0.001	NUM
cana-1282	178	24	activation	activation	NOUN
cana-1282	178	25	function	function	NOUN
cana-1282	178	26	relu	relu	NOUN
cana-1282	178	27	(	(	PUNCT
cana-1282	178	28	rectified	rectify	VERB
cana-1282	178	29	linear	linear	NOUN
cana-1282	178	30	unit	unit	NOUN
cana-1282	178	31	)	)	PUNCT
cana-1282	178	32	loss	loss	NOUN
cana-1282	178	33	function	function	NOUN
cana-1282	178	34	(	(	PUNCT
cana-1282	178	35	classification	classification	NOUN
cana-1282	178	36	)	)	PUNCT
cana-1282	178	37	cross	cross	ADJ
cana-1282	178	38	-	-	ADJ
cana-1282	178	39	entropy	entropy	ADJ
cana-1282	178	40	loss	loss	NOUN
cana-1282	178	41	loss	loss	NOUN
cana-1282	178	42	function	function	NOUN
cana-1282	178	43	(	(	PUNCT
cana-1282	178	44	regression	regression	NOUN
cana-1282	178	45	)	)	PUNCT
cana-1282	178	46	mean	mean	VERB
cana-1282	178	47	squared	square	VERB
cana-1282	178	48	error	error	NOUN
cana-1282	178	49	regularization	regularization	NOUN
cana-1282	178	50	dropout	dropout	NOUN
cana-1282	178	51	(	(	PUNCT
cana-1282	178	52	0.5	0.5	NUM
cana-1282	178	53	)	)	PUNCT
cana-1282	178	54	initial	initial	ADJ
cana-1282	178	55	weights	weight	NOUN
cana-1282	178	56	he	he	PRON
cana-1282	178	57	initialization	initialization	VERB
cana-1282	178	58	attention	attention	NOUN
cana-1282	178	59	mechanism	mechanism	NOUN
cana-1282	178	60	scaled	scale	VERB
cana-1282	178	61	dot	dot	NOUN
cana-1282	178	62	-	-	PUNCT
cana-1282	178	63	product	product	NOUN
cana-1282	178	64	attention	attention	NOUN
cana-1282	178	65	residual	residual	ADJ
cana-1282	178	66	block	block	NOUN
cana-1282	178	67	layers	layer	NOUN
cana-1282	178	68	3	3	NUM
cana-1282	178	69	number	number	NOUN
cana-1282	178	70	of	of	ADP
cana-1282	178	71	residual	residual	ADJ
cana-1282	178	72	blocks	block	NOUN
cana-1282	178	73	10	10	NUM
cana-1282	178	74	attention	attention	NOUN
cana-1282	178	75	head	head	NOUN
cana-1282	178	76	count	count	VERB
cana-1282	178	77	8	8	NUM
cana-1282	178	78	feature	feature	NOUN
cana-1282	178	79	dimension	dimension	NOUN
cana-1282	178	80	(	(	PUNCT
cana-1282	178	81	hidden	hide	VERB
cana-1282	178	82	layer	layer	NOUN
cana-1282	178	83	)	)	PUNCT
cana-1282	178	84	128	128	NUM
cana-1282	178	85	validation	validation	NOUN
cana-1282	178	86	split	split	VERB
cana-1282	178	87	20	20	NUM
cana-1282	178	88	%	%	NOUN
cana-1282	178	89	early	early	ADV
cana-1282	178	90	stopping	stop	VERB
cana-1282	178	91	patience	patience	NOUN
cana-1282	178	92	:	:	PUNCT
cana-1282	178	93	10	10	NUM
cana-1282	178	94	epochs	epoch	NOUN
cana-1282	178	95	,	,	PUNCT
cana-1282	178	96	communications	communication	NOUN
cana-1282	178	97	on	on	ADP
cana-1282	178	98	applied	apply	VERB
cana-1282	178	99	nonlinear	nonlinear	ADJ
cana-1282	178	100	analysis	analysis	NOUN
cana-1282	178	101	issn	issn	NOUN
cana-1282	178	102	:	:	PUNCT
cana-1282	178	103	1074	1074	NUM
cana-1282	178	104	-	-	PUNCT
cana-1282	178	105	133x	133x	NUM
cana-1282	178	106	vol	vol	NOUN
cana-1282	178	107	31	31	NUM
cana-1282	178	108	no	no	NOUN
cana-1282	178	109	.	.	PUNCT
cana-1282	179	1	7s	7	NOUN
cana-1282	179	2	(	(	PUNCT
cana-1282	179	3	2024	2024	NUM
cana-1282	179	4	)	)	PUNCT
cana-1282	179	5	48	48	NUM
cana-1282	179	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1282	179	7	figure	figure	NOUN
cana-1282	179	8	2	2	NUM
cana-1282	179	9	:	:	PUNCT
cana-1282	179	10	qualitative	qualitative	ADJ
cana-1282	179	11	analysis	analysis	NOUN
cana-1282	179	12	examining	examine	VERB
cana-1282	179	13	the	the	DET
cana-1282	179	14	dran	dran	NOUN
cana-1282	179	15	and	and	CCONJ
cana-1282	179	16	many	many	ADJ
cana-1282	179	17	current	current	ADJ
cana-1282	179	18	methods	method	NOUN
cana-1282	179	19	helps	help	VERB
cana-1282	179	20	one	one	NUM
cana-1282	179	21	to	to	PART
cana-1282	179	22	exhibit	exhibit	VERB
cana-1282	179	23	holistically	holistically	ADV
cana-1282	179	24	the	the	DET
cana-1282	179	25	performance	performance	NOUN
cana-1282	179	26	of	of	ADP
cana-1282	179	27	the	the	DET
cana-1282	179	28	model	model	NOUN
cana-1282	179	29	in	in	ADP
cana-1282	179	30	relation	relation	NOUN
cana-1282	179	31	to	to	ADP
cana-1282	179	32	traditional	traditional	ADJ
cana-1282	179	33	and	and	CCONJ
cana-1282	179	34	state	state	NOUN
cana-1282	179	35	-	-	PUNCT
cana-1282	179	36	ofthe	ofthe	NOUN
cana-1282	179	37	-	-	PUNCT
cana-1282	179	38	art	art	NOUN
cana-1282	179	39	technologies	technology	NOUN
cana-1282	179	40	.	.	PUNCT
cana-1282	180	1	among	among	ADP
cana-1282	180	2	the	the	DET
cana-1282	180	3	approaches	approach	NOUN
cana-1282	180	4	covered	cover	VERB
cana-1282	180	5	are	be	AUX
cana-1282	180	6	pls	pls	NOUN
cana-1282	180	7	-	-	PUNCT
cana-1282	180	8	sem	sem	NOUN
cana-1282	180	9	-	-	PUNCT
cana-1282	180	10	ann	ann	PROPN
cana-1282	180	11	,	,	PUNCT
cana-1282	180	12	dnn	dnn	PROPN
cana-1282	180	13	-	-	PROPN
cana-1282	180	14	lt	lt	PROPN
cana-1282	180	15	,	,	PUNCT
cana-1282	180	16	tlbo	tlbo	PROPN
cana-1282	180	17	-	-	PUNCT
cana-1282	180	18	svm	svm	ADJ
cana-1282	180	19	,	,	PUNCT
cana-1282	180	20	and	and	CCONJ
cana-1282	180	21	tl	tl	PROPN
cana-1282	180	22	-	-	PUNCT
cana-1282	180	23	han	han	PROPN
cana-1282	180	24	.	.	PUNCT
cana-1282	180	25	figure	figure	NOUN
cana-1282	180	26	2	2	NUM
cana-1282	180	27	:	:	PUNCT
cana-1282	180	28	accuracy	accuracy	NOUN
cana-1282	180	29	the	the	DET
cana-1282	180	30	dran	dran	PROPN
cana-1282	180	31	obtained	obtain	VERB
cana-1282	180	32	an	an	DET
cana-1282	180	33	amazing	amazing	ADJ
cana-1282	180	34	accuracy	accuracy	NOUN
cana-1282	180	35	of	of	ADP
cana-1282	180	36	94.2	94.2	NUM
cana-1282	180	37	%	%	NOUN
cana-1282	180	38	on	on	ADP
cana-1282	180	39	the	the	DET
cana-1282	180	40	training	training	NOUN
cana-1282	180	41	data	datum	NOUN
cana-1282	180	42	;	;	PUNCT
cana-1282	180	43	on	on	ADP
cana-1282	180	44	the	the	DET
cana-1282	180	45	testing	testing	NOUN
cana-1282	180	46	data	datum	NOUN
cana-1282	180	47	,	,	PUNCT
cana-1282	180	48	92.7	92.7	NUM
cana-1282	180	49	%	%	NOUN
cana-1282	180	50	;	;	PUNCT
cana-1282	180	51	and	and	CCONJ
cana-1282	180	52	on	on	ADP
cana-1282	180	53	the	the	DET
cana-1282	180	54	validation	validation	NOUN
cana-1282	180	55	data	datum	NOUN
cana-1282	180	56	,	,	PUNCT
cana-1282	180	57	91.8	91.8	NUM
cana-1282	180	58	%	%	NOUN
cana-1282	180	59	.	.	PUNCT
cana-1282	181	1	this	this	DET
cana-1282	181	2	performance	performance	NOUN
cana-1282	181	3	is	be	AUX
cana-1282	181	4	especially	especially	ADV
cana-1282	181	5	above	above	ADP
cana-1282	181	6	those	those	PRON
cana-1282	181	7	of	of	ADP
cana-1282	181	8	present	present	ADJ
cana-1282	181	9	methods	method	NOUN
cana-1282	181	10	.	.	PUNCT
cana-1282	182	1	for	for	ADP
cana-1282	182	2	example	example	NOUN
cana-1282	182	3	,	,	PUNCT
cana-1282	182	4	the	the	DET
cana-1282	182	5	dnn	dnn	PROPN
cana-1282	182	6	applying	apply	VERB
cana-1282	182	7	landau	landau	NOUN
cana-1282	182	8	transformation	transformation	NOUN
cana-1282	182	9	achieved	achieve	VERB
cana-1282	182	10	89.0	89.0	NUM
cana-1282	182	11	%	%	NOUN
cana-1282	182	12	accuracy	accuracy	NOUN
cana-1282	182	13	on	on	ADP
cana-1282	182	14	training	training	NOUN
cana-1282	182	15	;	;	PUNCT
cana-1282	182	16	on	on	ADP
cana-1282	182	17	testing	testing	NOUN
cana-1282	182	18	,	,	PUNCT
cana-1282	182	19	87.4	87.4	NUM
cana-1282	182	20	%	%	NOUN
cana-1282	182	21	;	;	PUNCT
cana-1282	182	22	on	on	ADP
cana-1282	182	23	validation	validation	NOUN
cana-1282	182	24	data	datum	NOUN
cana-1282	182	25	,	,	PUNCT
cana-1282	182	26	86.5	86.5	NUM
cana-1282	182	27	%	%	NOUN
cana-1282	182	28	.	.	PUNCT
cana-1282	183	1	tlbo	tlbo	ADJ
cana-1282	183	2	-	-	ADJ
cana-1282	183	3	svm	svm	PROPN
cana-1282	183	4	reported	report	VERB
cana-1282	183	5	lower	low	ADJ
cana-1282	183	6	accuracy	accuracy	NOUN
cana-1282	183	7	with	with	ADP
cana-1282	183	8	87.8	87.8	NUM
cana-1282	183	9	%	%	NOUN
cana-1282	183	10	on	on	ADP
cana-1282	183	11	training	training	NOUN
cana-1282	183	12	,	,	PUNCT
cana-1282	183	13	85.2	85.2	NUM
cana-1282	183	14	%	%	NOUN
cana-1282	183	15	on	on	ADP
cana-1282	183	16	testing	testing	NOUN
cana-1282	183	17	,	,	PUNCT
cana-1282	183	18	and	and	CCONJ
cana-1282	183	19	84.0	84.0	NUM
cana-1282	183	20	%	%	NOUN
cana-1282	183	21	on	on	ADP
cana-1282	183	22	validation	validation	NOUN
cana-1282	183	23	data	datum	NOUN
cana-1282	183	24	.	.	PUNCT
cana-1282	184	1	tl	tl	PROPN
cana-1282	184	2	-	-	PUNCT
cana-1282	184	3	han	han	PROPN
cana-1282	184	4	achieved	achieve	VERB
cana-1282	184	5	90.8	90.8	NUM
cana-1282	184	6	%	%	NOUN
cana-1282	184	7	accuracy	accuracy	NOUN
cana-1282	184	8	on	on	ADP
cana-1282	184	9	training	training	NOUN
cana-1282	184	10	;	;	PUNCT
cana-1282	184	11	on	on	ADP
cana-1282	184	12	testing	testing	NOUN
cana-1282	184	13	,	,	PUNCT
cana-1282	184	14	89.1	89.1	NUM
cana-1282	184	15	%	%	NOUN
cana-1282	184	16	;	;	PUNCT
cana-1282	184	17	on	on	ADP
cana-1282	184	18	validation	validation	NOUN
cana-1282	184	19	data	datum	NOUN
cana-1282	184	20	,	,	PUNCT
cana-1282	184	21	88.0	88.0	NUM
cana-1282	184	22	%	%	NOUN
cana-1282	184	23	;	;	PUNCT
cana-1282	184	24	and	and	CCONJ
cana-1282	184	25	on	on	ADP
cana-1282	184	26	pls	pls	NOUN
cana-1282	184	27	-	-	PUNCT
cana-1282	184	28	sem	sem	NOUN
cana-1282	184	29	-	-	PUNCT
cana-1282	184	30	ann	ann	PROPN
cana-1282	184	31	logged	log	VERB
cana-1282	184	32	88.6	88.6	NUM
cana-1282	184	33	%	%	NOUN
cana-1282	184	34	accuracy	accuracy	NOUN
cana-1282	184	35	.	.	PUNCT
cana-1282	185	1	the	the	DET
cana-1282	185	2	remarkable	remarkable	ADJ
cana-1282	185	3	accuracy	accuracy	NOUN
cana-1282	185	4	of	of	ADP
cana-1282	185	5	dran	dran	ADJ
cana-1282	185	6	points	point	NOUN
cana-1282	185	7	to	to	ADP
cana-1282	185	8	its	its	PRON
cana-1282	185	9	robust	robust	ADJ
cana-1282	185	10	learning	learning	NOUN
cana-1282	185	11	ability	ability	NOUN
cana-1282	185	12	and	and	CCONJ
cana-1282	185	13	efficient	efficient	ADJ
cana-1282	185	14	generalization	generalization	NOUN
cana-1282	185	15	over	over	ADP
cana-1282	185	16	many	many	ADJ
cana-1282	185	17	datasets	dataset	NOUN
cana-1282	185	18	.	.	PUNCT
cana-1282	186	1	communications	communication	NOUN
cana-1282	186	2	on	on	ADP
cana-1282	186	3	applied	apply	VERB
cana-1282	186	4	nonlinear	nonlinear	ADJ
cana-1282	186	5	analysis	analysis	NOUN
cana-1282	186	6	issn	issn	NOUN
cana-1282	186	7	:	:	PUNCT
cana-1282	186	8	1074	1074	NUM
cana-1282	186	9	-	-	PUNCT
cana-1282	186	10	133x	133x	NUM
cana-1282	186	11	vol	vol	NOUN
cana-1282	186	12	31	31	NUM
cana-1282	186	13	no	no	NOUN
cana-1282	186	14	.	.	PUNCT
cana-1282	187	1	7s	7	NOUN
cana-1282	187	2	(	(	PUNCT
cana-1282	187	3	2024	2024	NUM
cana-1282	187	4	)	)	PUNCT
cana-1282	187	5	49	49	NUM
cana-1282	188	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1282	188	2	figure	figure	NOUN
cana-1282	188	3	3	3	NUM
cana-1282	188	4	:	:	PUNCT
cana-1282	188	5	precision	precision	NOUN
cana-1282	188	6	driven	drive	VERB
cana-1282	188	7	by	by	ADP
cana-1282	188	8	93.5	93.5	NUM
cana-1282	188	9	%	%	NOUN
cana-1282	188	10	on	on	ADP
cana-1282	188	11	training	training	NOUN
cana-1282	188	12	,	,	PUNCT
cana-1282	188	13	91.2	91.2	NUM
cana-1282	188	14	%	%	NOUN
cana-1282	188	15	on	on	ADP
cana-1282	188	16	testing	testing	NOUN
cana-1282	188	17	,	,	PUNCT
cana-1282	188	18	and	and	CCONJ
cana-1282	188	19	90.4	90.4	NUM
cana-1282	188	20	%	%	NOUN
cana-1282	188	21	on	on	ADP
cana-1282	188	22	validation	validation	NOUN
cana-1282	188	23	data	datum	NOUN
cana-1282	188	24	,	,	PUNCT
cana-1282	188	25	dran	dran	PROPN
cana-1282	188	26	had	have	VERB
cana-1282	188	27	maximum	maximum	ADJ
cana-1282	188	28	precision	precision	NOUN
cana-1282	188	29	—	—	PUNCT
cana-1282	188	30	that	that	ADV
cana-1282	188	31	is	is	ADV
cana-1282	188	32	,	,	PUNCT
cana-1282	188	33	the	the	DET
cana-1282	188	34	proportion	proportion	NOUN
cana-1282	188	35	of	of	ADP
cana-1282	188	36	true	true	ADJ
cana-1282	188	37	positives	positive	NOUN
cana-1282	188	38	out	out	ADP
cana-1282	188	39	of	of	ADP
cana-1282	188	40	all	all	DET
cana-1282	188	41	the	the	DET
cana-1282	188	42	positive	positive	ADJ
cana-1282	188	43	predictions	prediction	NOUN
cana-1282	188	44	the	the	DET
cana-1282	188	45	model	model	NOUN
cana-1282	188	46	generated	generate	VERB
cana-1282	188	47	.	.	PUNCT
cana-1282	189	1	this	this	PRON
cana-1282	189	2	suggests	suggest	VERB
cana-1282	189	3	that	that	SCONJ
cana-1282	189	4	dran	dran	PROPN
cana-1282	189	5	produces	produce	VERB
cana-1282	189	6	less	less	ADV
cana-1282	189	7	false	false	ADJ
cana-1282	189	8	positive	positive	ADJ
cana-1282	189	9	predictions	prediction	NOUN
cana-1282	189	10	than	than	ADP
cana-1282	189	11	other	other	ADJ
cana-1282	189	12	methods	method	NOUN
cana-1282	189	13	as	as	ADV
cana-1282	189	14	well	well	ADV
cana-1282	189	15	.	.	PUNCT
cana-1282	190	1	on	on	ADP
cana-1282	190	2	validation	validation	NOUN
cana-1282	190	3	data	datum	NOUN
cana-1282	190	4	,	,	PUNCT
cana-1282	190	5	the	the	DET
cana-1282	190	6	dnn	dnn	PROPN
cana-1282	190	7	applying	apply	VERB
cana-1282	190	8	landau	landau	NOUN
cana-1282	190	9	transformation	transformation	NOUN
cana-1282	190	10	had	have	VERB
cana-1282	190	11	precision	precision	NOUN
cana-1282	190	12	values	value	NOUN
cana-1282	190	13	of	of	ADP
cana-1282	190	14	84.7	84.7	NUM
cana-1282	190	15	%	%	NOUN
cana-1282	190	16	;	;	PUNCT
cana-1282	190	17	on	on	ADP
cana-1282	190	18	testing	testing	NOUN
cana-1282	190	19	,	,	PUNCT
cana-1282	190	20	it	it	PRON
cana-1282	190	21	had	have	VERB
cana-1282	190	22	85.9	85.9	NUM
cana-1282	190	23	%	%	NOUN
cana-1282	190	24	;	;	PUNCT
cana-1282	190	25	and	and	CCONJ
cana-1282	190	26	on	on	ADP
cana-1282	190	27	training	training	NOUN
cana-1282	190	28	,	,	PUNCT
cana-1282	190	29	it	it	PRON
cana-1282	190	30	had	have	VERB
cana-1282	190	31	88.2	88.2	NUM
cana-1282	190	32	%	%	NOUN
cana-1282	190	33	.	.	PUNCT
cana-1282	191	1	tlbo	tlbo	ADJ
cana-1282	191	2	-	-	ADJ
cana-1282	191	3	svm	svm	PROPN
cana-1282	191	4	scored	score	VERB
cana-1282	191	5	86.4	86.4	NUM
cana-1282	191	6	%	%	NOUN
cana-1282	191	7	on	on	ADP
cana-1282	191	8	training	training	NOUN
cana-1282	191	9	;	;	PUNCT
cana-1282	191	10	84.0	84.0	NUM
cana-1282	191	11	%	%	NOUN
cana-1282	191	12	on	on	ADP
cana-1282	191	13	testing	testing	NOUN
cana-1282	191	14	;	;	PUNCT
cana-1282	191	15	and	and	CCONJ
cana-1282	191	16	82.5	82.5	NUM
cana-1282	191	17	%	%	NOUN
cana-1282	191	18	on	on	ADP
cana-1282	191	19	validation	validation	NOUN
cana-1282	191	20	data	datum	NOUN
cana-1282	191	21	.	.	PUNCT
cana-1282	192	1	tl	tl	PROPN
cana-1282	192	2	-	-	PUNCT
cana-1282	192	3	han	han	PROPN
cana-1282	192	4	had	have	VERB
cana-1282	192	5	precision	precision	NOUN
cana-1282	192	6	scores	score	NOUN
cana-1282	192	7	of	of	ADP
cana-1282	192	8	89.5	89.5	NUM
cana-1282	192	9	%	%	NOUN
cana-1282	192	10	on	on	ADP
cana-1282	192	11	training	training	NOUN
cana-1282	192	12	,	,	PUNCT
cana-1282	192	13	87.8	87.8	NUM
cana-1282	192	14	%	%	NOUN
cana-1282	192	15	on	on	ADP
cana-1282	192	16	testing	testing	NOUN
cana-1282	192	17	,	,	PUNCT
cana-1282	192	18	and	and	CCONJ
cana-1282	192	19	86.7	86.7	NUM
cana-1282	192	20	%	%	NOUN
cana-1282	192	21	on	on	ADP
cana-1282	192	22	validation	validation	NOUN
cana-1282	192	23	data	datum	NOUN
cana-1282	192	24	.	.	PUNCT
cana-1282	193	1	pls	pls	INTJ
cana-1282	193	2	-	-	PUNCT
cana-1282	193	3	sem	sem	NOUN
cana-1282	193	4	-	-	PUNCT
cana-1282	193	5	ann	ann	PROPN
cana-1282	193	6	displayed	display	VERB
cana-1282	193	7	lower	low	ADJ
cana-1282	193	8	precision	precision	NOUN
cana-1282	193	9	with	with	ADP
cana-1282	193	10	87.1	87.1	NUM
cana-1282	193	11	%	%	NOUN
cana-1282	193	12	on	on	ADP
cana-1282	193	13	training	training	NOUN
cana-1282	193	14	,	,	PUNCT
cana-1282	193	15	86.0	86.0	NUM
cana-1282	193	16	%	%	NOUN
cana-1282	193	17	on	on	ADP
cana-1282	193	18	testing	testing	NOUN
cana-1282	193	19	,	,	PUNCT
cana-1282	193	20	and	and	CCONJ
cana-1282	193	21	84.8	84.8	NUM
cana-1282	193	22	%	%	NOUN
cana-1282	193	23	on	on	ADP
cana-1282	193	24	validation	validation	NOUN
cana-1282	193	25	data	datum	NOUN
cana-1282	193	26	.	.	PUNCT
cana-1282	194	1	the	the	DET
cana-1282	194	2	higher	high	ADJ
cana-1282	194	3	accuracy	accuracy	NOUN
cana-1282	194	4	of	of	ADP
cana-1282	194	5	dran	dran	ADJ
cana-1282	194	6	highlights	highlight	NOUN
cana-1282	194	7	how	how	SCONJ
cana-1282	194	8	effectively	effectively	ADV
cana-1282	194	9	it	it	PRON
cana-1282	194	10	lowers	lower	VERB
cana-1282	194	11	false	false	ADJ
cana-1282	194	12	positives	positive	NOUN
cana-1282	194	13	.	.	PUNCT
cana-1282	195	1	figure	figure	NOUN
cana-1282	195	2	4	4	NUM
cana-1282	195	3	:	:	PUNCT
cana-1282	195	4	recall	recall	PROPN
cana-1282	195	5	recall	recall	NOUN
cana-1282	195	6	,	,	PUNCT
cana-1282	195	7	commonly	commonly	ADV
cana-1282	195	8	referred	refer	VERB
cana-1282	195	9	to	to	ADP
cana-1282	195	10	as	as	ADP
cana-1282	195	11	sensitivity	sensitivity	NOUN
cana-1282	195	12	,	,	PUNCT
cana-1282	195	13	demonstrates	demonstrate	VERB
cana-1282	195	14	among	among	ADP
cana-1282	195	15	all	all	DET
cana-1282	195	16	the	the	DET
cana-1282	195	17	positives	positive	NOUN
cana-1282	195	18	how	how	SCONJ
cana-1282	195	19	effectively	effectively	ADV
cana-1282	195	20	the	the	DET
cana-1282	195	21	model	model	NOUN
cana-1282	195	22	identifies	identify	VERB
cana-1282	195	23	real	real	ADJ
cana-1282	195	24	positive	positive	ADJ
cana-1282	195	25	cases	case	NOUN
cana-1282	195	26	.	.	PUNCT
cana-1282	196	1	dran	dran	PROPN
cana-1282	196	2	had	have	VERB
cana-1282	196	3	outstanding	outstanding	ADJ
cana-1282	196	4	recall	recall	NOUN
cana-1282	196	5	scores	score	NOUN
cana-1282	196	6	of	of	ADP
cana-1282	196	7	95.0	95.0	NUM
cana-1282	196	8	%	%	NOUN
cana-1282	196	9	on	on	ADP
cana-1282	196	10	training	training	NOUN
cana-1282	196	11	;	;	PUNCT
cana-1282	196	12	on	on	ADP
cana-1282	196	13	testing	testing	NOUN
cana-1282	196	14	,	,	PUNCT
cana-1282	196	15	of	of	ADP
cana-1282	196	16	94.1	94.1	NUM
cana-1282	196	17	%	%	NOUN
cana-1282	196	18	;	;	PUNCT
cana-1282	196	19	on	on	ADP
cana-1282	196	20	validation	validation	NOUN
cana-1282	196	21	data	datum	NOUN
cana-1282	196	22	,	,	PUNCT
cana-1282	196	23	of	of	ADP
cana-1282	196	24	93.2	93.2	NUM
cana-1282	196	25	%	%	NOUN
cana-1282	196	26	.	.	PUNCT
cana-1282	197	1	this	this	PRON
cana-1282	197	2	indicates	indicate	VERB
cana-1282	197	3	dran	dran	PROPN
cana-1282	197	4	's	's	PART
cana-1282	197	5	great	great	ADJ
cana-1282	197	6	positive	positive	ADJ
cana-1282	197	7	event	event	NOUN
cana-1282	197	8	detection	detection	NOUN
cana-1282	197	9	.	.	PUNCT
cana-1282	198	1	dnn	dnn	PROPN
cana-1282	198	2	with	with	ADP
cana-1282	198	3	landau	landau	NOUN
cana-1282	198	4	transformation	transformation	NOUN
cana-1282	198	5	showed	show	VERB
cana-1282	198	6	recall	recall	NOUN
cana-1282	198	7	rates	rate	NOUN
cana-1282	198	8	of	of	ADP
cana-1282	198	9	90.5	90.5	NUM
cana-1282	198	10	%	%	NOUN
cana-1282	198	11	on	on	ADP
cana-1282	198	12	training	training	NOUN
cana-1282	198	13	;	;	PUNCT
cana-1282	198	14	88.3	88.3	NUM
cana-1282	198	15	%	%	NOUN
cana-1282	198	16	on	on	ADP
cana-1282	198	17	testing	testing	NOUN
cana-1282	198	18	;	;	PUNCT
cana-1282	198	19	and	and	CCONJ
cana-1282	198	20	87.0	87.0	NUM
cana-1282	198	21	%	%	NOUN
cana-1282	198	22	on	on	ADP
cana-1282	198	23	validation	validation	NOUN
cana-1282	198	24	data	datum	NOUN
cana-1282	198	25	.	.	PUNCT
cana-1282	199	1	tlbo	tlbo	PROPN
cana-1282	199	2	-	-	PROPN
cana-1282	199	3	svm	svm	PROPN
cana-1282	199	4	had	have	AUX
cana-1282	199	5	recall	recall	VERB
cana-1282	199	6	values	value	NOUN
cana-1282	199	7	of	of	ADP
cana-1282	199	8	89.0	89.0	NUM
cana-1282	199	9	%	%	NOUN
cana-1282	199	10	;	;	PUNCT
cana-1282	199	11	on	on	ADP
cana-1282	199	12	testing	testing	NOUN
cana-1282	199	13	,	,	PUNCT
cana-1282	199	14	of	of	ADP
cana-1282	199	15	86.8	86.8	NUM
cana-1282	199	16	%	%	NOUN
cana-1282	199	17	;	;	PUNCT
cana-1282	199	18	and	and	CCONJ
cana-1282	199	19	on	on	ADP
cana-1282	199	20	validation	validation	NOUN
cana-1282	199	21	data	datum	NOUN
cana-1282	199	22	,	,	PUNCT
cana-1282	199	23	of	of	ADP
cana-1282	199	24	85.5	85.5	NUM
cana-1282	199	25	%	%	NOUN
cana-1282	199	26	.	.	PUNCT
cana-1282	200	1	training	train	VERB
cana-1282	200	2	tl	tl	PROPN
cana-1282	200	3	-	-	PUNCT
cana-1282	200	4	han	han	PROPN
cana-1282	200	5	recalls	recall	VERB
cana-1282	200	6	were	be	AUX
cana-1282	200	7	92.0	92.0	NUM
cana-1282	200	8	%	%	NOUN
cana-1282	200	9	on	on	ADP
cana-1282	200	10	training	training	NOUN
cana-1282	200	11	;	;	PUNCT
cana-1282	200	12	90.2	90.2	NUM
cana-1282	200	13	%	%	NOUN
cana-1282	200	14	on	on	ADP
cana-1282	200	15	testing	testing	NOUN
cana-1282	200	16	;	;	PUNCT
cana-1282	200	17	89.0	89.0	NUM
cana-1282	200	18	%	%	NOUN
cana-1282	200	19	on	on	ADP
cana-1282	200	20	validation	validation	NOUN
cana-1282	200	21	data	datum	NOUN
cana-1282	200	22	.	.	PUNCT
cana-1282	201	1	pls	pls	INTJ
cana-1282	201	2	-	-	PUNCT
cana-1282	201	3	sem	sem	NOUN
cana-1282	201	4	-	-	PUNCT
cana-1282	201	5	ann	ann	PROPN
cana-1282	201	6	logged	log	VERB
cana-1282	201	7	90.2	90.2	NUM
cana-1282	201	8	%	%	NOUN
cana-1282	201	9	recall	recall	NOUN
cana-1282	201	10	on	on	ADP
cana-1282	201	11	training	training	NOUN
cana-1282	201	12	;	;	PUNCT
cana-1282	201	13	89.1	89.1	NUM
cana-1282	201	14	%	%	NOUN
cana-1282	201	15	on	on	ADP
cana-1282	201	16	testing	testing	NOUN
cana-1282	201	17	;	;	PUNCT
cana-1282	201	18	and	and	CCONJ
cana-1282	201	19	87.5	87.5	NUM
cana-1282	201	20	%	%	NOUN
cana-1282	201	21	on	on	ADP
cana-1282	201	22	validation	validation	NOUN
cana-1282	201	23	data	datum	NOUN
cana-1282	201	24	.	.	PUNCT
cana-1282	202	1	given	give	VERB
cana-1282	202	2	dran	dran	PROPN
cana-1282	202	3	's	's	PART
cana-1282	202	4	better	well	ADJ
cana-1282	202	5	recall	recall	NOUN
cana-1282	202	6	,	,	PUNCT
cana-1282	202	7	it	it	PRON
cana-1282	202	8	looks	look	VERB
cana-1282	202	9	more	more	ADV
cana-1282	202	10	likely	likely	ADJ
cana-1282	202	11	to	to	PART
cana-1282	202	12	catch	catch	VERB
cana-1282	202	13	a	a	DET
cana-1282	202	14	higher	high	ADJ
cana-1282	202	15	number	number	NOUN
cana-1282	202	16	of	of	ADP
cana-1282	202	17	true	true	ADJ
cana-1282	202	18	positives	positive	NOUN
cana-1282	202	19	.	.	PUNCT
cana-1282	203	1	communications	communication	NOUN
cana-1282	203	2	on	on	ADP
cana-1282	203	3	applied	apply	VERB
cana-1282	203	4	nonlinear	nonlinear	ADJ
cana-1282	203	5	analysis	analysis	NOUN
cana-1282	203	6	issn	issn	NOUN
cana-1282	203	7	:	:	PUNCT
cana-1282	203	8	1074	1074	NUM
cana-1282	203	9	-	-	PUNCT
cana-1282	203	10	133x	133x	NUM
cana-1282	203	11	vol	vol	NOUN
cana-1282	203	12	31	31	NUM
cana-1282	203	13	no	no	NOUN
cana-1282	203	14	.	.	PUNCT
cana-1282	204	1	7s	7	NOUN
cana-1282	204	2	(	(	PUNCT
cana-1282	204	3	2024	2024	NUM
cana-1282	204	4	)	)	PUNCT
cana-1282	204	5	50	50	NUM
cana-1282	204	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1282	204	7	figure	figure	NOUN
cana-1282	204	8	5	5	NUM
cana-1282	204	9	:	:	PUNCT
cana-1282	204	10	f1	f1	NOUN
cana-1282	204	11	-	-	PUNCT
cana-1282	204	12	measure	measure	NOUN
cana-1282	204	13	the	the	DET
cana-1282	204	14	f1	f1	NOUN
cana-1282	204	15	-	-	PUNCT
cana-1282	204	16	measure	measure	NOUN
cana-1282	204	17	—	—	PUNCT
cana-1282	204	18	which	which	PRON
cana-1282	204	19	compiles	compile	VERB
cana-1282	204	20	recall	recall	NOUN
cana-1282	204	21	and	and	CCONJ
cana-1282	204	22	accuracy	accuracy	NOUN
cana-1282	204	23	into	into	ADP
cana-1282	204	24	a	a	DET
cana-1282	204	25	single	single	ADJ
cana-1282	204	26	metric	metric	NOUN
cana-1282	204	27	—	—	PUNCT
cana-1282	204	28	was	be	AUX
cana-1282	204	29	highest	high	ADJ
cana-1282	204	30	for	for	ADP
cana-1282	204	31	dran	dran	PROPN
cana-1282	204	32	at	at	ADP
cana-1282	204	33	94.2	94.2	NUM
cana-1282	204	34	%	%	NOUN
cana-1282	204	35	on	on	ADP
cana-1282	204	36	training	training	NOUN
cana-1282	204	37	,	,	PUNCT
cana-1282	204	38	92.6	92.6	NUM
cana-1282	204	39	%	%	NOUN
cana-1282	204	40	on	on	ADP
cana-1282	204	41	testing	testing	NOUN
cana-1282	204	42	,	,	PUNCT
cana-1282	204	43	and	and	CCONJ
cana-1282	204	44	91.8	91.8	NUM
cana-1282	204	45	%	%	NOUN
cana-1282	204	46	on	on	ADP
cana-1282	204	47	validation	validation	NOUN
cana-1282	204	48	data	datum	NOUN
cana-1282	204	49	.	.	PUNCT
cana-1282	205	1	this	this	PRON
cana-1282	205	2	indicates	indicate	VERB
cana-1282	205	3	that	that	SCONJ
cana-1282	205	4	dran	dran	ADJ
cana-1282	205	5	strikes	strike	NOUN
cana-1282	205	6	accuracy	accuracy	NOUN
cana-1282	205	7	and	and	CCONJ
cana-1282	205	8	recall	recall	NOUN
cana-1282	205	9	in	in	ADP
cana-1282	205	10	balance	balance	NOUN
cana-1282	205	11	.	.	PUNCT
cana-1282	206	1	dnn	dnn	PROPN
cana-1282	206	2	with	with	ADP
cana-1282	206	3	landau	landau	NOUN
cana-1282	206	4	transformation	transformation	NOUN
cana-1282	206	5	had	have	VERB
cana-1282	206	6	f1	f1	ADJ
cana-1282	206	7	-	-	PUNCT
cana-1282	206	8	measure	measure	NOUN
cana-1282	206	9	values	value	NOUN
cana-1282	206	10	of	of	ADP
cana-1282	206	11	89.3	89.3	NUM
cana-1282	206	12	%	%	NOUN
cana-1282	206	13	;	;	PUNCT
cana-1282	206	14	on	on	ADP
cana-1282	206	15	testing	testing	NOUN
cana-1282	206	16	,	,	PUNCT
cana-1282	206	17	87.1	87.1	NUM
cana-1282	206	18	%	%	NOUN
cana-1282	206	19	;	;	PUNCT
cana-1282	206	20	and	and	CCONJ
cana-1282	206	21	on	on	ADP
cana-1282	206	22	validation	validation	NOUN
cana-1282	206	23	data	datum	NOUN
cana-1282	206	24	,	,	PUNCT
cana-1282	206	25	85.8	85.8	NUM
cana-1282	206	26	%	%	NOUN
cana-1282	206	27	.	.	PUNCT
cana-1282	207	1	f1	f1	ADJ
cana-1282	207	2	-	-	PUNCT
cana-1282	207	3	measure	measure	NOUN
cana-1282	207	4	of	of	ADP
cana-1282	207	5	tlbo	tlbo	NOUN
cana-1282	207	6	-	-	ADJ
cana-1282	207	7	svm	svm	PROPN
cana-1282	207	8	was	be	AUX
cana-1282	207	9	87.7	87.7	NUM
cana-1282	207	10	%	%	NOUN
cana-1282	207	11	on	on	ADP
cana-1282	207	12	training	training	NOUN
cana-1282	207	13	;	;	PUNCT
cana-1282	207	14	it	it	PRON
cana-1282	207	15	was	be	AUX
cana-1282	207	16	85.3	85.3	NUM
cana-1282	207	17	%	%	NOUN
cana-1282	207	18	on	on	ADP
cana-1282	207	19	testing	testing	NOUN
cana-1282	207	20	;	;	PUNCT
cana-1282	207	21	on	on	ADP
cana-1282	207	22	validation	validation	NOUN
cana-1282	207	23	data	datum	NOUN
cana-1282	207	24	,	,	PUNCT
cana-1282	207	25	it	it	PRON
cana-1282	207	26	was	be	AUX
cana-1282	207	27	83.9	83.9	NUM
cana-1282	207	28	%	%	NOUN
cana-1282	207	29	.	.	PUNCT
cana-1282	208	1	tl	tl	PROPN
cana-1282	208	2	-	-	PUNCT
cana-1282	208	3	han	han	PROPN
cana-1282	208	4	gained	gain	VERB
cana-1282	208	5	f1	f1	ADJ
cana-1282	208	6	-	-	PUNCT
cana-1282	208	7	measure	measure	NOUN
cana-1282	208	8	values	value	NOUN
cana-1282	208	9	of	of	ADP
cana-1282	208	10	90.7	90.7	NUM
cana-1282	208	11	%	%	NOUN
cana-1282	208	12	;	;	PUNCT
cana-1282	208	13	on	on	ADP
cana-1282	208	14	testing	testing	NOUN
cana-1282	208	15	,	,	PUNCT
cana-1282	208	16	of	of	ADP
cana-1282	208	17	88.9	88.9	NUM
cana-1282	208	18	%	%	NOUN
cana-1282	208	19	;	;	PUNCT
cana-1282	208	20	on	on	ADP
cana-1282	208	21	validation	validation	NOUN
cana-1282	208	22	data	datum	NOUN
cana-1282	208	23	,	,	PUNCT
cana-1282	208	24	of	of	ADP
cana-1282	208	25	87.8	87.8	NUM
cana-1282	208	26	%	%	NOUN
cana-1282	208	27	.	.	PUNCT
cana-1282	209	1	pls	pls	INTJ
cana-1282	209	2	-	-	PUNCT
cana-1282	209	3	sem	sem	PROPN
cana-1282	209	4	-	-	PUNCT
cana-1282	209	5	ann	ann	PROPN
cana-1282	209	6	's	's	PART
cana-1282	209	7	f1	f1	NOUN
cana-1282	209	8	-	-	PUNCT
cana-1282	209	9	measure	measure	NOUN
cana-1282	209	10	was	be	AUX
cana-1282	209	11	88.6	88.6	NUM
cana-1282	209	12	%	%	NOUN
cana-1282	209	13	on	on	ADP
cana-1282	209	14	training	training	NOUN
cana-1282	209	15	;	;	PUNCT
cana-1282	209	16	it	it	PRON
cana-1282	209	17	was	be	AUX
cana-1282	209	18	87.5	87.5	NUM
cana-1282	209	19	%	%	NOUN
cana-1282	209	20	on	on	ADP
cana-1282	209	21	testing	testing	NOUN
cana-1282	209	22	;	;	PUNCT
cana-1282	209	23	and	and	CCONJ
cana-1282	209	24	on	on	ADP
cana-1282	209	25	validation	validation	NOUN
cana-1282	209	26	data	datum	NOUN
cana-1282	209	27	it	it	PRON
cana-1282	209	28	was	be	AUX
cana-1282	209	29	85.8	85.8	NUM
cana-1282	209	30	%	%	NOUN
cana-1282	209	31	.	.	PUNCT
cana-1282	210	1	the	the	DET
cana-1282	210	2	superior	superior	ADJ
cana-1282	210	3	f1	f1	NOUN
cana-1282	210	4	-	-	PUNCT
cana-1282	210	5	measure	measure	NOUN
cana-1282	210	6	of	of	ADP
cana-1282	210	7	dran	dran	ADJ
cana-1282	210	8	highlights	highlight	NOUN
cana-1282	210	9	how	how	SCONJ
cana-1282	210	10	effectively	effectively	ADV
cana-1282	210	11	it	it	PRON
cana-1282	210	12	strikes	strike	VERB
cana-1282	210	13	a	a	DET
cana-1282	210	14	good	good	ADJ
cana-1282	210	15	blend	blend	NOUN
cana-1282	210	16	of	of	ADP
cana-1282	210	17	memory	memory	NOUN
cana-1282	210	18	and	and	CCONJ
cana-1282	210	19	accuracy	accuracy	NOUN
cana-1282	210	20	.	.	PUNCT
cana-1282	211	1	figure	figure	NOUN
cana-1282	211	2	6	6	NUM
cana-1282	211	3	:	:	PUNCT
cana-1282	211	4	rmse	rmse	PROPN
cana-1282	211	5	root	root	NOUN
cana-1282	211	6	mean	mean	VERB
cana-1282	211	7	squared	square	VERB
cana-1282	211	8	error	error	NOUN
cana-1282	211	9	(	(	PUNCT
cana-1282	211	10	rmse	rmse	ADJ
cana-1282	211	11	)	)	PUNCT
cana-1282	211	12	measures	measure	NOUN
cana-1282	211	13	degree	degree	NOUN
cana-1282	211	14	of	of	ADP
cana-1282	211	15	forecast	forecast	NOUN
cana-1282	211	16	inaccuracy	inaccuracy	NOUN
cana-1282	211	17	.	.	PUNCT
cana-1282	212	1	reducing	reduce	VERB
cana-1282	212	2	prediction	prediction	NOUN
cana-1282	212	3	errors	error	NOUN
cana-1282	212	4	,	,	PUNCT
cana-1282	212	5	dran	dran	PROPN
cana-1282	212	6	found	find	VERB
cana-1282	212	7	on	on	ADP
cana-1282	212	8	training	train	VERB
cana-1282	212	9	an	an	DET
cana-1282	212	10	rmse	rmse	NOUN
cana-1282	212	11	of	of	ADP
cana-1282	212	12	0.30	0.30	NUM
cana-1282	212	13	;	;	PUNCT
cana-1282	212	14	on	on	ADP
cana-1282	212	15	testing	testing	NOUN
cana-1282	212	16	,	,	PUNCT
cana-1282	212	17	0.35	0.35	NUM
cana-1282	212	18	;	;	PUNCT
cana-1282	212	19	on	on	ADP
cana-1282	212	20	validation	validation	NOUN
cana-1282	212	21	data	datum	NOUN
cana-1282	212	22	,	,	PUNCT
cana-1282	212	23	0.37	0.37	NUM
cana-1282	212	24	.	.	PUNCT
cana-1282	213	1	dnn	dnn	PROPN
cana-1282	213	2	with	with	ADP
cana-1282	213	3	landau	landau	NOUN
cana-1282	213	4	transformation	transformation	NOUN
cana-1282	213	5	scored	score	VERB
cana-1282	213	6	0.40	0.40	NUM
cana-1282	213	7	on	on	ADP
cana-1282	213	8	training	training	NOUN
cana-1282	213	9	,	,	PUNCT
cana-1282	213	10	0.45	0.45	NUM
cana-1282	213	11	on	on	ADP
cana-1282	213	12	testing	testing	NOUN
cana-1282	213	13	,	,	PUNCT
cana-1282	213	14	0.48	0.48	NUM
cana-1282	213	15	on	on	ADP
cana-1282	213	16	validation	validation	NOUN
cana-1282	213	17	data	datum	NOUN
cana-1282	213	18	.	.	PUNCT
cana-1282	214	1	tlbo	tlbo	ADJ
cana-1282	214	2	-	-	ADJ
cana-1282	214	3	svm	svm	PROPN
cana-1282	214	4	showed	show	VERB
cana-1282	214	5	rmse	rmse	NOUN
cana-1282	214	6	of	of	ADP
cana-1282	214	7	0.42	0.42	NUM
cana-1282	214	8	on	on	ADP
cana-1282	214	9	training	training	NOUN
cana-1282	214	10	,	,	PUNCT
cana-1282	214	11	of	of	ADP
cana-1282	214	12	0.50	0.50	NUM
cana-1282	214	13	on	on	ADP
cana-1282	214	14	testing	testing	NOUN
cana-1282	214	15	,	,	PUNCT
cana-1282	214	16	of	of	ADP
cana-1282	214	17	0.52	0.52	NUM
cana-1282	214	18	on	on	ADP
cana-1282	214	19	validation	validation	NOUN
cana-1282	214	20	data	datum	NOUN
cana-1282	214	21	.	.	PUNCT
cana-1282	215	1	tl	tl	PROPN
cana-1282	215	2	-	-	PUNCT
cana-1282	215	3	han	han	PROPN
cana-1282	215	4	's	's	PART
cana-1282	215	5	rmse	rmse	NOUN
cana-1282	215	6	in	in	ADP
cana-1282	215	7	training	training	NOUN
cana-1282	215	8	was	be	AUX
cana-1282	215	9	0.35	0.35	NUM
cana-1282	215	10	;	;	PUNCT
cana-1282	215	11	in	in	ADP
cana-1282	215	12	testing	testing	NOUN
cana-1282	215	13	it	it	PRON
cana-1282	215	14	was	be	AUX
cana-1282	215	15	0.42	0.42	NUM
cana-1282	215	16	;	;	PUNCT
cana-1282	215	17	on	on	ADP
cana-1282	215	18	validation	validation	NOUN
cana-1282	215	19	data	datum	NOUN
cana-1282	215	20	it	it	PRON
cana-1282	215	21	was	be	AUX
cana-1282	215	22	0.44	0.44	NUM
cana-1282	215	23	.	.	PUNCT
cana-1282	216	1	pls	pls	NOUN
cana-1282	216	2	-	-	PUNCT
cana-1282	216	3	sem	sem	NOUN
cana-1282	216	4	-	-	PUNCT
cana-1282	216	5	ann	ann	PROPN
cana-1282	216	6	noted	note	VERB
cana-1282	216	7	rmse	rmse	ADJ
cana-1282	216	8	values	value	NOUN
cana-1282	216	9	of	of	ADP
cana-1282	216	10	0.38	0.38	NUM
cana-1282	216	11	on	on	ADP
cana-1282	216	12	training	training	NOUN
cana-1282	216	13	;	;	PUNCT
cana-1282	216	14	on	on	ADP
cana-1282	216	15	testing	testing	NOUN
cana-1282	216	16	,	,	PUNCT
cana-1282	216	17	of	of	ADP
cana-1282	216	18	0.47	0.47	NUM
cana-1282	216	19	;	;	PUNCT
cana-1282	216	20	on	on	ADP
cana-1282	216	21	validation	validation	NOUN
cana-1282	216	22	,	,	PUNCT
cana-1282	216	23	of	of	ADP
cana-1282	216	24	0.49	0.49	NUM
cana-1282	216	25	.	.	PUNCT
cana-1282	217	1	for	for	ADP
cana-1282	217	2	regression	regression	NOUN
cana-1282	217	3	situations	situation	NOUN
cana-1282	217	4	,	,	PUNCT
cana-1282	217	5	dran	dran	PROPN
cana-1282	217	6	's	's	PART
cana-1282	217	7	lower	low	ADJ
cana-1282	217	8	rmse	rmse	NOUN
cana-1282	217	9	indicates	indicate	VERB
cana-1282	217	10	improved	improved	ADJ
cana-1282	217	11	accuracy	accuracy	NOUN
cana-1282	217	12	.	.	PUNCT
cana-1282	218	1	communications	communication	NOUN
cana-1282	218	2	on	on	ADP
cana-1282	218	3	applied	apply	VERB
cana-1282	218	4	nonlinear	nonlinear	ADJ
cana-1282	218	5	analysis	analysis	NOUN
cana-1282	218	6	issn	issn	NOUN
cana-1282	218	7	:	:	PUNCT
cana-1282	218	8	1074	1074	NUM
cana-1282	218	9	-	-	PUNCT
cana-1282	218	10	133x	133x	NUM
cana-1282	218	11	vol	vol	NOUN
cana-1282	218	12	31	31	NUM
cana-1282	218	13	no	no	NOUN
cana-1282	218	14	.	.	PUNCT
cana-1282	219	1	7s	7	NOUN
cana-1282	219	2	(	(	PUNCT
cana-1282	219	3	2024	2024	NUM
cana-1282	219	4	)	)	PUNCT
cana-1282	219	5	51	51	NUM
cana-1282	219	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1282	219	7	figure	figure	NOUN
cana-1282	219	8	7	7	NUM
cana-1282	219	9	:	:	PUNCT
cana-1282	219	10	mae	mae	PROPN
cana-1282	219	11	mean	mean	VERB
cana-1282	219	12	absolute	absolute	ADJ
cana-1282	219	13	error	error	NOUN
cana-1282	219	14	(	(	PUNCT
cana-1282	219	15	mae	mae	PROPN
cana-1282	219	16	)	)	PUNCT
cana-1282	219	17	shows	show	VERB
cana-1282	219	18	the	the	DET
cana-1282	219	19	general	general	ADJ
cana-1282	219	20	degree	degree	NOUN
cana-1282	219	21	of	of	ADP
cana-1282	219	22	mistakes	mistake	NOUN
cana-1282	219	23	.	.	PUNCT
cana-1282	220	1	dran	dran	PROPN
cana-1282	220	2	got	get	VERB
cana-1282	220	3	an	an	DET
cana-1282	220	4	mae	mae	PROPN
cana-1282	220	5	of	of	ADP
cana-1282	220	6	0.25	0.25	NUM
cana-1282	220	7	on	on	ADP
cana-1282	220	8	training	training	NOUN
cana-1282	220	9	,	,	PUNCT
cana-1282	220	10	0.29	0.29	NUM
cana-1282	220	11	on	on	ADP
cana-1282	220	12	testing	testing	NOUN
cana-1282	220	13	,	,	PUNCT
cana-1282	220	14	and	and	CCONJ
cana-1282	220	15	0.32	0.32	NUM
cana-1282	220	16	on	on	ADP
cana-1282	220	17	validation	validation	NOUN
cana-1282	220	18	data	datum	NOUN
cana-1282	220	19	showing	show	VERB
cana-1282	220	20	less	less	ADJ
cana-1282	220	21	errors	error	NOUN
cana-1282	220	22	than	than	ADP
cana-1282	220	23	past	past	ADJ
cana-1282	220	24	methods	method	NOUN
cana-1282	220	25	.	.	PUNCT
cana-1282	221	1	dnn	dnn	PROPN
cana-1282	221	2	with	with	ADP
cana-1282	221	3	landau	landau	NOUN
cana-1282	221	4	transform	transform	VERB
cana-1282	221	5	had	have	VERB
cana-1282	221	6	mae	mae	PROPN
cana-1282	221	7	values	value	NOUN
cana-1282	221	8	of	of	ADP
cana-1282	221	9	0.34	0.34	NUM
cana-1282	221	10	on	on	ADP
cana-1282	221	11	training	training	NOUN
cana-1282	221	12	,	,	PUNCT
cana-1282	221	13	0.38	0.38	NUM
cana-1282	221	14	on	on	ADP
cana-1282	221	15	testing	testing	NOUN
cana-1282	221	16	,	,	PUNCT
cana-1282	221	17	0.40	0.40	NUM
cana-1282	221	18	on	on	ADP
cana-1282	221	19	validation	validation	NOUN
cana-1282	221	20	data	datum	NOUN
cana-1282	221	21	.	.	PUNCT
cana-1282	222	1	tlbosvm	tlbosvm	VERB
cana-1282	222	2	reported	report	VERB
cana-1282	222	3	mae	mae	PROPN
cana-1282	222	4	of	of	ADP
cana-1282	222	5	0.36	0.36	NUM
cana-1282	222	6	on	on	ADP
cana-1282	222	7	training	training	NOUN
cana-1282	222	8	,	,	PUNCT
cana-1282	222	9	0.44	0.44	NUM
cana-1282	222	10	on	on	ADP
cana-1282	222	11	testing	testing	NOUN
cana-1282	222	12	,	,	PUNCT
cana-1282	222	13	0.46	0.46	NUM
cana-1282	222	14	on	on	ADP
cana-1282	222	15	validation	validation	NOUN
cana-1282	222	16	data	datum	NOUN
cana-1282	222	17	.	.	PUNCT
cana-1282	223	1	tl	tl	PROPN
cana-1282	223	2	-	-	PUNCT
cana-1282	223	3	han	han	PROPN
cana-1282	223	4	's	's	PART
cana-1282	223	5	mae	mae	PROPN
cana-1282	223	6	was	be	AUX
cana-1282	223	7	0.30	0.30	NUM
cana-1282	223	8	on	on	ADP
cana-1282	223	9	training	training	NOUN
cana-1282	223	10	;	;	PUNCT
cana-1282	223	11	it	it	PRON
cana-1282	223	12	was	be	AUX
cana-1282	223	13	0.36	0.36	NUM
cana-1282	223	14	on	on	ADP
cana-1282	223	15	testing	testing	NOUN
cana-1282	223	16	;	;	PUNCT
cana-1282	223	17	on	on	ADP
cana-1282	223	18	validation	validation	NOUN
cana-1282	223	19	data	datum	NOUN
cana-1282	223	20	it	it	PRON
cana-1282	223	21	was	be	AUX
cana-1282	223	22	0.38	0.38	NUM
cana-1282	223	23	.	.	PUNCT
cana-1282	224	1	pls	pls	INTJ
cana-1282	224	2	-	-	PUNCT
cana-1282	224	3	sem	sem	NOUN
cana-1282	224	4	-	-	PUNCT
cana-1282	224	5	ann	ann	PROPN
cana-1282	224	6	had	have	VERB
cana-1282	224	7	mae	mae	PROPN
cana-1282	224	8	values	value	NOUN
cana-1282	224	9	of	of	ADP
cana-1282	224	10	0.33	0.33	NUM
cana-1282	224	11	on	on	ADP
cana-1282	224	12	training	training	NOUN
cana-1282	224	13	;	;	PUNCT
cana-1282	224	14	on	on	ADP
cana-1282	224	15	testing	testing	NOUN
cana-1282	224	16	,	,	PUNCT
cana-1282	224	17	of	of	ADP
cana-1282	224	18	0.41	0.41	NUM
cana-1282	224	19	;	;	PUNCT
cana-1282	224	20	on	on	ADP
cana-1282	224	21	validation	validation	NOUN
cana-1282	224	22	data	datum	NOUN
cana-1282	224	23	,	,	PUNCT
cana-1282	224	24	of	of	ADP
cana-1282	224	25	0.43	0.43	NUM
cana-1282	224	26	.	.	PUNCT
cana-1282	225	1	the	the	DET
cana-1282	225	2	lower	low	ADJ
cana-1282	225	3	mae	mae	PROPN
cana-1282	225	4	of	of	ADP
cana-1282	225	5	dran	dran	PROPN
cana-1282	225	6	highlights	highlight	NOUN
cana-1282	225	7	the	the	DET
cana-1282	225	8	degree	degree	NOUN
cana-1282	225	9	to	to	PART
cana-1282	225	10	which	which	PRON
cana-1282	225	11	it	it	PRON
cana-1282	225	12	lowers	lower	VERB
cana-1282	225	13	absolute	absolute	ADJ
cana-1282	225	14	prediction	prediction	NOUN
cana-1282	225	15	errors	error	NOUN
cana-1282	225	16	.	.	PUNCT
cana-1282	226	1	7	7	X
cana-1282	226	2	.	.	X
cana-1282	226	3	conclusion	conclusion	NOUN
cana-1282	226	4	using	use	VERB
cana-1282	226	5	the	the	DET
cana-1282	226	6	dran	dran	ADJ
cana-1282	226	7	model	model	NOUN
cana-1282	226	8	helps	help	VERB
cana-1282	226	9	one	one	NUM
cana-1282	226	10	to	to	PART
cana-1282	226	11	predict	predict	VERB
cana-1282	226	12	and	and	CCONJ
cana-1282	226	13	analyze	analyze	VERB
cana-1282	226	14	complex	complex	ADJ
cana-1282	226	15	educational	educational	ADJ
cana-1282	226	16	data	datum	NOUN
cana-1282	226	17	,	,	PUNCT
cana-1282	226	18	showing	show	VERB
cana-1282	226	19	notable	notable	ADJ
cana-1282	226	20	progress	progress	NOUN
cana-1282	226	21	over	over	ADP
cana-1282	226	22	present	present	ADJ
cana-1282	226	23	methods	method	NOUN
cana-1282	226	24	.	.	PUNCT
cana-1282	227	1	better	well	ADJ
cana-1282	227	2	performance	performance	NOUN
cana-1282	227	3	over	over	ADP
cana-1282	227	4	key	key	ADJ
cana-1282	227	5	criteria	criterion	NOUN
cana-1282	227	6	—	—	PUNCT
cana-1282	227	7	accuracy	accuracy	NOUN
cana-1282	227	8	,	,	PUNCT
cana-1282	227	9	precision	precision	NOUN
cana-1282	227	10	,	,	PUNCT
cana-1282	227	11	recall	recall	NOUN
cana-1282	227	12	,	,	PUNCT
cana-1282	227	13	f1measure	f1measure	NOUN
cana-1282	227	14	,	,	PUNCT
cana-1282	227	15	f2	f2	NOUN
cana-1282	227	16	-	-	PUNCT
cana-1282	227	17	measure	measure	NOUN
cana-1282	227	18	,	,	PUNCT
cana-1282	227	19	rmse	rmse	NOUN
cana-1282	227	20	,	,	PUNCT
cana-1282	227	21	and	and	CCONJ
cana-1282	227	22	mae	mae	PROPN
cana-1282	227	23	—	—	PUNCT
cana-1282	227	24	showcases	showcase	VERB
cana-1282	227	25	its	its	PRON
cana-1282	227	26	durability	durability	NOUN
cana-1282	227	27	and	and	CCONJ
cana-1282	227	28	efficiency	efficiency	NOUN
cana-1282	227	29	.	.	PUNCT
cana-1282	228	1	driven	drive	VERB
cana-1282	228	2	by	by	ADP
cana-1282	228	3	reduced	reduced	ADJ
cana-1282	228	4	rmse	rmse	NOUN
cana-1282	228	5	(	(	PUNCT
cana-1282	228	6	0.35	0.35	NUM
cana-1282	228	7	)	)	PUNCT
cana-1282	228	8	and	and	CCONJ
cana-1282	228	9	mae	mae	PROPN
cana-1282	228	10	(	(	PUNCT
cana-1282	228	11	0.29	0.29	NUM
cana-1282	228	12	)	)	PUNCT
cana-1282	228	13	values	value	NOUN
cana-1282	228	14	compared	compare	VERB
cana-1282	228	15	to	to	ADP
cana-1282	228	16	dnn	dnn	PROPN
cana-1282	228	17	-	-	PROPN
cana-1282	228	18	lt	lt	PROPN
cana-1282	228	19	,	,	PUNCT
cana-1282	228	20	tlbo	tlbo	PROPN
cana-1282	228	21	-	-	PUNCT
cana-1282	228	22	svm	svm	ADJ
cana-1282	228	23	,	,	PUNCT
cana-1282	228	24	transfer	transfer	NOUN
cana-1282	228	25	learning	learn	VERB
cana-1282	228	26	hierarchical	hierarchical	ADJ
cana-1282	228	27	attention	attention	NOUN
cana-1282	228	28	network	network	NOUN
cana-1282	228	29	,	,	PUNCT
cana-1282	228	30	and	and	CCONJ
cana-1282	228	31	pls	pls	NOUN
cana-1282	228	32	-	-	PUNCT
cana-1282	228	33	sem	sem	NOUN
cana-1282	228	34	-	-	PUNCT
cana-1282	228	35	ann	ann	PROPN
cana-1282	228	36	,	,	PUNCT
cana-1282	228	37	dran	dran	PROPN
cana-1282	228	38	achieved	achieve	VERB
cana-1282	228	39	the	the	DET
cana-1282	228	40	highest	high	ADJ
cana-1282	228	41	accuracy	accuracy	NOUN
cana-1282	228	42	(	(	PUNCT
cana-1282	228	43	92.7	92.7	NUM
cana-1282	228	44	%	%	NOUN
cana-1282	228	45	)	)	PUNCT
cana-1282	228	46	,	,	PUNCT
cana-1282	228	47	precision	precision	NOUN
cana-1282	228	48	(	(	PUNCT
cana-1282	228	49	91.2	91.2	NUM
cana-1282	228	50	%	%	NOUN
cana-1282	228	51	)	)	PUNCT
cana-1282	228	52	,	,	PUNCT
cana-1282	228	53	recall	recall	INTJ
cana-1282	228	54	(	(	PUNCT
cana-1282	228	55	94.1	94.1	NUM
cana-1282	228	56	%	%	NOUN
cana-1282	228	57	)	)	PUNCT
cana-1282	228	58	,	,	PUNCT
cana-1282	228	59	and	and	CCONJ
cana-1282	228	60	f1	f1	NOUN
cana-1282	228	61	-	-	PUNCT
cana-1282	228	62	measure	measure	NOUN
cana-1282	228	63	(	(	PUNCT
cana-1282	228	64	92.6	92.6	NUM
cana-1282	228	65	%	%	NOUN
cana-1282	228	66	)	)	PUNCT
cana-1282	228	67	,	,	PUNCT
cana-1282	228	68	these	these	DET
cana-1282	228	69	results	result	NOUN
cana-1282	228	70	show	show	VERB
cana-1282	228	71	how	how	SCONJ
cana-1282	228	72	well	well	ADV
cana-1282	228	73	dran	dran	NOUN
cana-1282	228	74	can	can	AUX
cana-1282	228	75	efficiently	efficiently	ADV
cana-1282	228	76	gather	gather	VERB
cana-1282	228	77	and	and	CCONJ
cana-1282	228	78	apply	apply	VERB
cana-1282	228	79	complex	complex	ADJ
cana-1282	228	80	patterns	pattern	NOUN
cana-1282	228	81	in	in	ADP
cana-1282	228	82	educational	educational	ADJ
cana-1282	228	83	datasets	dataset	NOUN
cana-1282	228	84	,	,	PUNCT
cana-1282	228	85	therefore	therefore	ADV
cana-1282	228	86	providing	provide	VERB
cana-1282	228	87	accurate	accurate	ADJ
cana-1282	228	88	,	,	PUNCT
cana-1282	228	89	consistent	consistent	ADJ
cana-1282	228	90	,	,	PUNCT
cana-1282	228	91	and	and	CCONJ
cana-1282	228	92	useful	useful	ADJ
cana-1282	228	93	insights	insight	NOUN
cana-1282	228	94	.	.	PUNCT
cana-1282	229	1	deep	deep	ADJ
cana-1282	229	2	residual	residual	ADJ
cana-1282	229	3	learning	learning	NOUN
cana-1282	229	4	together	together	ADV
cana-1282	229	5	with	with	ADP
cana-1282	229	6	attention	attention	NOUN
cana-1282	229	7	mechanisms	mechanism	NOUN
cana-1282	229	8	helps	help	VERB
cana-1282	229	9	dran	dran	NOUN
cana-1282	229	10	minimize	minimize	VERB
cana-1282	229	11	errors	error	NOUN
cana-1282	229	12	and	and	CCONJ
cana-1282	229	13	focus	focus	VERB
cana-1282	229	14	on	on	ADP
cana-1282	229	15	relevant	relevant	ADJ
cana-1282	229	16	features	feature	NOUN
cana-1282	229	17	,	,	PUNCT
cana-1282	229	18	hence	hence	ADV
cana-1282	229	19	enabling	enable	VERB
cana-1282	229	20	personalized	personalized	ADJ
cana-1282	229	21	learning	learning	NOUN
cana-1282	229	22	and	and	CCONJ
cana-1282	229	23	decision	decision	NOUN
cana-1282	229	24	-	-	PUNCT
cana-1282	229	25	making	making	NOUN
cana-1282	229	26	in	in	ADP
cana-1282	229	27	mba	mba	NOUN
cana-1282	229	28	education	education	NOUN
cana-1282	229	29	.	.	PUNCT
cana-1282	230	1	the	the	DET
cana-1282	230	2	model	model	NOUN
cana-1282	230	3	's	's	PART
cana-1282	230	4	enhanced	enhanced	ADJ
cana-1282	230	5	performance	performance	NOUN
cana-1282	230	6	reveals	reveal	VERB
cana-1282	230	7	a	a	DET
cana-1282	230	8	clear	clear	ADJ
cana-1282	230	9	change	change	NOUN
cana-1282	230	10	in	in	ADP
cana-1282	230	11	expected	expect	VERB
cana-1282	230	12	accuracy	accuracy	NOUN
cana-1282	230	13	and	and	CCONJ
cana-1282	230	14	model	model	NOUN
cana-1282	230	15	resilience	resilience	NOUN
cana-1282	230	16	,	,	PUNCT
cana-1282	230	17	therefore	therefore	ADV
cana-1282	230	18	implying	imply	VERB
cana-1282	230	19	its	its	PRON
cana-1282	230	20	likely	likely	ADJ
cana-1282	230	21	universal	universal	ADJ
cana-1282	230	22	significance	significance	NOUN
cana-1282	230	23	in	in	ADP
cana-1282	230	24	datadriven	datadriven	ADJ
cana-1282	230	25	educational	educational	ADJ
cana-1282	230	26	interventions	intervention	NOUN
cana-1282	230	27	.	.	PUNCT
cana-1282	231	1	references	reference	NOUN
cana-1282	231	2	[	[	X
cana-1282	231	3	1	1	NUM
cana-1282	231	4	]	]	X
cana-1282	231	5	pereira	pereira	PROPN
cana-1282	231	6	,	,	PUNCT
cana-1282	231	7	a.	a.	PROPN
cana-1282	231	8	s.	s.	PROPN
cana-1282	231	9	,	,	PUNCT
cana-1282	231	10	&	&	CCONJ
cana-1282	231	11	wahi	wahi	X
cana-1282	231	12	,	,	PUNCT
cana-1282	231	13	m.	m.	NOUN
cana-1282	231	14	m.	m.	NOUN
cana-1282	231	15	(	(	PUNCT
cana-1282	231	16	2021	2021	NUM
cana-1282	231	17	)	)	PUNCT
cana-1282	231	18	.	.	PUNCT
cana-1282	232	1	development	development	NOUN
cana-1282	232	2	and	and	CCONJ
cana-1282	232	3	testing	testing	NOUN
cana-1282	232	4	of	of	ADP
cana-1282	232	5	a	a	DET
cana-1282	232	6	roleplaying	roleplaying	NOUN
cana-1282	232	7	gamification	gamification	NOUN
cana-1282	232	8	module	module	NOUN
cana-1282	232	9	to	to	PART
cana-1282	232	10	enhance	enhance	VERB
cana-1282	232	11	deeper	deep	ADJ
cana-1282	232	12	learning	learning	NOUN
cana-1282	232	13	of	of	ADP
cana-1282	232	14	case	case	NOUN
cana-1282	232	15	studies	study	NOUN
cana-1282	232	16	in	in	ADP
cana-1282	232	17	an	an	DET
cana-1282	232	18	accelerated	accelerate	VERB
cana-1282	232	19	online	online	ADJ
cana-1282	232	20	management	management	NOUN
cana-1282	232	21	theory	theory	NOUN
cana-1282	232	22	course	course	NOUN
cana-1282	232	23	.	.	PUNCT
cana-1282	233	1	online	online	PROPN
cana-1282	233	2	learning	learning	PROPN
cana-1282	233	3	,	,	PUNCT
cana-1282	233	4	25(3	25(3	NUM
cana-1282	233	5	)	)	PUNCT
cana-1282	233	6	,	,	PUNCT
cana-1282	233	7	101127	101127	NUM
cana-1282	233	8	.	.	PUNCT
cana-1282	234	1	[	[	X
cana-1282	234	2	2	2	NUM
cana-1282	234	3	]	]	X
cana-1282	234	4	tiberius	tiberius	X
cana-1282	234	5	,	,	PUNCT
cana-1282	234	6	v.	v.	ADV
cana-1282	234	7	,	,	PUNCT
cana-1282	234	8	weyland	weyland	INTJ
cana-1282	234	9	,	,	PUNCT
cana-1282	234	10	m.	m.	NOUN
cana-1282	234	11	,	,	PUNCT
cana-1282	234	12	&	&	CCONJ
cana-1282	234	13	mahto	mahto	PROPN
cana-1282	234	14	,	,	PUNCT
cana-1282	234	15	r.	r.	PROPN
cana-1282	234	16	v.	v.	PROPN
cana-1282	234	17	(	(	PUNCT
cana-1282	234	18	2023	2023	NUM
cana-1282	234	19	)	)	PUNCT
cana-1282	234	20	.	.	PUNCT
cana-1282	235	1	best	good	ADJ
cana-1282	235	2	of	of	ADP
cana-1282	235	3	entrepreneurship	entrepreneurship	NOUN
cana-1282	235	4	education	education	NOUN
cana-1282	235	5	?	?	PUNCT
cana-1282	236	1	a	a	DET
cana-1282	236	2	curriculum	curriculum	NOUN
cana-1282	236	3	analysis	analysis	NOUN
cana-1282	236	4	of	of	ADP
cana-1282	236	5	the	the	DET
cana-1282	236	6	highest	highest	ADV
cana-1282	236	7	-	-	PUNCT
cana-1282	236	8	ranking	rank	VERB
cana-1282	236	9	entrepreneurship	entrepreneurship	NOUN
cana-1282	236	10	mba	mba	NOUN
cana-1282	236	11	programs	program	NOUN
cana-1282	236	12	.	.	PUNCT
cana-1282	237	1	the	the	DET
cana-1282	237	2	international	international	ADJ
cana-1282	237	3	journal	journal	NOUN
cana-1282	237	4	of	of	ADP
cana-1282	237	5	management	management	NOUN
cana-1282	237	6	education	education	NOUN
cana-1282	237	7	,	,	PUNCT
cana-1282	237	8	21(1	21(1	NUM
cana-1282	237	9	)	)	PUNCT
cana-1282	237	10	,	,	PUNCT
cana-1282	237	11	100753	100753	NUM
cana-1282	237	12	.	.	PUNCT
cana-1282	238	1	[	[	X
cana-1282	238	2	3	3	NUM
cana-1282	238	3	]	]	X
cana-1282	238	4	chen	chen	PROPN
cana-1282	238	5	,	,	PUNCT
cana-1282	238	6	z.	z.	PROPN
cana-1282	238	7	,	,	PUNCT
cana-1282	238	8	&	&	CCONJ
cana-1282	238	9	yu	yu	PROPN
cana-1282	238	10	,	,	PUNCT
cana-1282	238	11	x.	x.	NOUN
cana-1282	238	12	(	(	PUNCT
cana-1282	238	13	2020	2020	NUM
cana-1282	238	14	)	)	PUNCT
cana-1282	238	15	.	.	PUNCT
cana-1282	239	1	adoption	adoption	NOUN
cana-1282	239	2	of	of	ADP
cana-1282	239	3	human	human	ADJ
cana-1282	239	4	personality	personality	NOUN
cana-1282	239	5	development	development	NOUN
cana-1282	239	6	theory	theory	NOUN
cana-1282	239	7	combined	combine	VERB
cana-1282	239	8	with	with	ADP
cana-1282	239	9	deep	deep	ADJ
cana-1282	239	10	neural	neural	ADJ
cana-1282	239	11	network	network	NOUN
cana-1282	239	12	in	in	ADP
cana-1282	239	13	entrepreneurship	entrepreneurship	NOUN
cana-1282	239	14	education	education	NOUN
cana-1282	239	15	of	of	ADP
cana-1282	239	16	college	college	NOUN
cana-1282	239	17	students	student	NOUN
cana-1282	239	18	.	.	PUNCT
cana-1282	240	1	frontiers	frontier	NOUN
cana-1282	240	2	in	in	ADP
cana-1282	240	3	psychology	psychology	NOUN
cana-1282	240	4	,	,	PUNCT
cana-1282	240	5	11	11	NUM
cana-1282	240	6	,	,	PUNCT
cana-1282	240	7	1346	1346	NUM
cana-1282	240	8	.	.	PUNCT
cana-1282	241	1	[	[	X
cana-1282	241	2	4	4	NUM
cana-1282	241	3	]	]	SYM
cana-1282	241	4	xu	xu	PROPN
cana-1282	241	5	,	,	PUNCT
cana-1282	241	6	j.	j.	PROPN
cana-1282	241	7	j.	j.	PROPN
cana-1282	241	8	,	,	PUNCT
cana-1282	241	9	&	&	CCONJ
cana-1282	241	10	babaian	babaian	ADJ
cana-1282	241	11	,	,	PUNCT
cana-1282	241	12	t.	t.	PROPN
cana-1282	241	13	(	(	PUNCT
cana-1282	241	14	2021	2021	NUM
cana-1282	241	15	)	)	PUNCT
cana-1282	241	16	.	.	PUNCT
cana-1282	242	1	artificial	artificial	ADJ
cana-1282	242	2	intelligence	intelligence	NOUN
cana-1282	242	3	in	in	ADP
cana-1282	242	4	business	business	NOUN
cana-1282	242	5	curriculum	curriculum	NOUN
cana-1282	242	6	:	:	PUNCT
cana-1282	242	7	the	the	DET
cana-1282	242	8	pedagogy	pedagogy	NOUN
cana-1282	242	9	and	and	CCONJ
cana-1282	242	10	learning	learn	VERB
cana-1282	242	11	outcomes	outcome	NOUN
cana-1282	242	12	.	.	PUNCT
cana-1282	243	1	the	the	DET
cana-1282	243	2	international	international	ADJ
cana-1282	243	3	journal	journal	NOUN
cana-1282	243	4	of	of	ADP
cana-1282	243	5	management	management	NOUN
cana-1282	243	6	education	education	NOUN
cana-1282	243	7	,	,	PUNCT
cana-1282	243	8	19(3	19(3	NUM
cana-1282	243	9	)	)	PUNCT
cana-1282	243	10	,	,	PUNCT
cana-1282	243	11	100550	100550	NUM
cana-1282	243	12	.	.	PUNCT
cana-1282	244	1	communications	communication	NOUN
cana-1282	244	2	on	on	ADP
cana-1282	244	3	applied	apply	VERB
cana-1282	244	4	nonlinear	nonlinear	ADJ
cana-1282	244	5	analysis	analysis	NOUN
cana-1282	244	6	issn	issn	NOUN
cana-1282	244	7	:	:	PUNCT
cana-1282	244	8	1074	1074	NUM
cana-1282	244	9	-	-	PUNCT
cana-1282	244	10	133x	133x	NUM
cana-1282	244	11	vol	vol	NOUN
cana-1282	244	12	31	31	NUM
cana-1282	244	13	no	no	NOUN
cana-1282	244	14	.	.	PUNCT
cana-1282	245	1	7s	7	NOUN
cana-1282	245	2	(	(	PUNCT
cana-1282	245	3	2024	2024	NUM
cana-1282	245	4	)	)	PUNCT
cana-1282	245	5	52	52	NUM
cana-1282	245	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1282	246	1	[	[	X
cana-1282	246	2	5	5	NUM
cana-1282	246	3	]	]	X
cana-1282	246	4	saravanan	saravanan	PROPN
cana-1282	246	5	,	,	PUNCT
cana-1282	246	6	v.	v.	ADV
cana-1282	246	7	,	,	PUNCT
cana-1282	246	8	madiajagan	madiajagan	NOUN
cana-1282	246	9	,	,	PUNCT
cana-1282	246	10	m.	m.	NOUN
cana-1282	246	11	,	,	PUNCT
cana-1282	246	12	rafee	rafee	PROPN
cana-1282	246	13	,	,	PUNCT
cana-1282	246	14	s.	s.	PROPN
cana-1282	246	15	m.	m.	PROPN
cana-1282	246	16	,	,	PUNCT
cana-1282	246	17	sanju	sanju	PROPN
cana-1282	246	18	,	,	PUNCT
cana-1282	246	19	p.	p.	PROPN
cana-1282	246	20	,	,	PUNCT
cana-1282	246	21	rehman	rehman	PROPN
cana-1282	246	22	,	,	PUNCT
cana-1282	246	23	t.	t.	PROPN
cana-1282	246	24	b.	b.	PROPN
cana-1282	246	25	,	,	PUNCT
cana-1282	246	26	&	&	CCONJ
cana-1282	246	27	pattanaik	pattanaik	PROPN
cana-1282	246	28	,	,	PUNCT
cana-1282	246	29	b.	b.	PROPN
cana-1282	246	30	(	(	PUNCT
cana-1282	246	31	2024	2024	NUM
cana-1282	246	32	)	)	PUNCT
cana-1282	246	33	.	.	PUNCT
cana-1282	247	1	iot	iot	PROPN
cana-1282	247	2	-	-	PUNCT
cana-1282	247	3	based	base	VERB
cana-1282	247	4	blockchain	blockchain	PROPN
cana-1282	247	5	intrusion	intrusion	PROPN
cana-1282	247	6	detection	detection	NOUN
cana-1282	247	7	using	use	VERB
cana-1282	247	8	optimized	optimize	VERB
cana-1282	247	9	recurrent	recurrent	ADJ
cana-1282	247	10	neural	neural	ADJ
cana-1282	247	11	network	network	NOUN
cana-1282	247	12	.	.	PUNCT
cana-1282	248	1	multimedia	multimedia	NOUN
cana-1282	248	2	tools	tool	NOUN
cana-1282	248	3	and	and	CCONJ
cana-1282	248	4	applications	application	NOUN
cana-1282	248	5	,	,	PUNCT
cana-1282	248	6	83(11	83(11	NUM
cana-1282	248	7	)	)	PUNCT
cana-1282	248	8	,	,	PUNCT
cana-1282	248	9	3150531526	3150531526	NUM
cana-1282	248	10	.	.	PUNCT
cana-1282	249	1	[	[	X
cana-1282	249	2	6	6	NUM
cana-1282	249	3	]	]	PUNCT
cana-1282	249	4	raman	raman	NOUN
cana-1282	249	5	,	,	PUNCT
cana-1282	249	6	r.	r.	PROPN
cana-1282	249	7	,	,	PUNCT
cana-1282	249	8	&	&	CCONJ
cana-1282	249	9	pramod	pramod	PROPN
cana-1282	249	10	,	,	PUNCT
cana-1282	249	11	d.	d.	PROPN
cana-1282	249	12	(	(	PUNCT
cana-1282	249	13	2022	2022	NUM
cana-1282	249	14	)	)	PUNCT
cana-1282	249	15	.	.	PUNCT
cana-1282	250	1	the	the	DET
cana-1282	250	2	role	role	NOUN
cana-1282	250	3	of	of	ADP
cana-1282	250	4	predictive	predictive	ADJ
cana-1282	250	5	analytics	analytic	NOUN
cana-1282	250	6	to	to	PART
cana-1282	250	7	explain	explain	VERB
cana-1282	250	8	the	the	DET
cana-1282	250	9	employability	employability	NOUN
cana-1282	250	10	of	of	ADP
cana-1282	250	11	management	management	NOUN
cana-1282	250	12	graduates	graduate	NOUN
cana-1282	250	13	.	.	PUNCT
cana-1282	251	1	benchmarking	benchmarke	VERB
cana-1282	251	2	:	:	PUNCT
cana-1282	251	3	an	an	DET
cana-1282	251	4	international	international	ADJ
cana-1282	251	5	journal	journal	NOUN
cana-1282	251	6	,	,	PUNCT
cana-1282	251	7	29(8	29(8	NOUN
cana-1282	251	8	)	)	PUNCT
cana-1282	251	9	,	,	PUNCT
cana-1282	251	10	2378	2378	NUM
cana-1282	251	11	-	-	SYM
cana-1282	251	12	2396	2396	NUM
cana-1282	251	13	.	.	PUNCT
cana-1282	252	1	[	[	X
cana-1282	252	2	7	7	NUM
cana-1282	252	3	]	]	X
cana-1282	252	4	dhanasekaran	dhanasekaran	NUM
cana-1282	252	5	,	,	PUNCT
cana-1282	252	6	s.	s.	PROPN
cana-1282	252	7	,	,	PUNCT
cana-1282	252	8	rajput	rajput	PROPN
cana-1282	252	9	,	,	PUNCT
cana-1282	252	10	k.	k.	PROPN
cana-1282	252	11	,	,	PUNCT
cana-1282	252	12	yuvaraj	yuvaraj	PROPN
cana-1282	252	13	,	,	PUNCT
cana-1282	252	14	n.	n.	PROPN
cana-1282	252	15	,	,	PUNCT
cana-1282	252	16	aeri	aeri	PROPN
cana-1282	252	17	,	,	PUNCT
cana-1282	252	18	m.	m.	NOUN
cana-1282	252	19	,	,	PUNCT
cana-1282	252	20	shukla	shukla	NOUN
cana-1282	252	21	,	,	PUNCT
cana-1282	252	22	r.	r.	PROPN
cana-1282	252	23	p.	p.	PROPN
cana-1282	252	24	,	,	PUNCT
cana-1282	252	25	&	&	CCONJ
cana-1282	252	26	singh	singh	PROPN
cana-1282	252	27	,	,	PUNCT
cana-1282	252	28	s.	s.	PROPN
cana-1282	252	29	k.	k.	PROPN
cana-1282	252	30	(	(	PUNCT
cana-1282	252	31	2024	2024	NUM
cana-1282	252	32	,	,	PUNCT
cana-1282	252	33	may	may	AUX
cana-1282	252	34	)	)	PUNCT
cana-1282	252	35	.	.	PUNCT
cana-1282	253	1	utilizing	utilize	VERB
cana-1282	253	2	cloud	cloud	NOUN
cana-1282	253	3	computing	computing	NOUN
cana-1282	253	4	for	for	ADP
cana-1282	253	5	distributed	distributed	ADJ
cana-1282	253	6	training	training	NOUN
cana-1282	253	7	of	of	ADP
cana-1282	253	8	deep	deep	ADJ
cana-1282	253	9	learning	learning	NOUN
cana-1282	253	10	models	model	NOUN
cana-1282	253	11	.	.	PUNCT
cana-1282	254	1	in	in	ADP
cana-1282	254	2	2024	2024	NUM
cana-1282	254	3	second	second	ADJ
cana-1282	254	4	international	international	ADJ
cana-1282	254	5	conference	conference	NOUN
cana-1282	254	6	on	on	ADP
cana-1282	254	7	data	datum	NOUN
cana-1282	254	8	science	science	NOUN
cana-1282	254	9	and	and	CCONJ
cana-1282	254	10	information	information	NOUN
cana-1282	254	11	system	system	NOUN
cana-1282	254	12	(	(	PUNCT
cana-1282	254	13	icdsis	icdsis	NOUN
cana-1282	254	14	)	)	PUNCT
cana-1282	254	15	(	(	PUNCT
cana-1282	254	16	pp	pp	X
cana-1282	254	17	.	.	PUNCT
cana-1282	255	1	1	1	NUM
cana-1282	255	2	-	-	SYM
cana-1282	255	3	6	6	NUM
cana-1282	255	4	)	)	PUNCT
cana-1282	255	5	.	.	PUNCT
cana-1282	256	1	ieee	ieee	NOUN
cana-1282	256	2	.	.	PUNCT
cana-1282	257	1	[	[	X
cana-1282	257	2	8	8	NUM
cana-1282	257	3	]	]	X
cana-1282	257	4	praghash	praghash	NOUN
cana-1282	257	5	,	,	PUNCT
cana-1282	257	6	k.	k.	PROPN
cana-1282	257	7	,	,	PUNCT
cana-1282	257	8	yuvaraj	yuvaraj	PROPN
cana-1282	257	9	,	,	PUNCT
cana-1282	257	10	n.	n.	PROPN
cana-1282	257	11	,	,	PUNCT
cana-1282	257	12	peter	peter	PROPN
cana-1282	257	13	,	,	PUNCT
cana-1282	257	14	g.	g.	PROPN
cana-1282	257	15	,	,	PUNCT
cana-1282	257	16	stonier	stonier	NOUN
cana-1282	257	17	,	,	PUNCT
cana-1282	257	18	a.	a.	NOUN
cana-1282	257	19	a.	a.	PROPN
cana-1282	257	20	,	,	PUNCT
cana-1282	257	21	&	&	CCONJ
cana-1282	257	22	priya	priya	PROPN
cana-1282	257	23	,	,	PUNCT
cana-1282	257	24	r.	r.	PROPN
cana-1282	257	25	d.	d.	PROPN
cana-1282	257	26	(	(	PUNCT
cana-1282	257	27	2022	2022	NUM
cana-1282	257	28	,	,	PUNCT
cana-1282	257	29	december	december	PROPN
cana-1282	257	30	)	)	PUNCT
cana-1282	257	31	.	.	PUNCT
cana-1282	258	1	financial	financial	ADJ
cana-1282	258	2	big	big	ADJ
cana-1282	258	3	data	datum	NOUN
cana-1282	258	4	analysis	analysis	NOUN
cana-1282	258	5	using	use	VERB
cana-1282	258	6	anti	anti	ADJ
cana-1282	258	7	-	-	ADJ
cana-1282	258	8	tampering	tamper	VERB
cana-1282	258	9	blockchain	blockchain	NOUN
cana-1282	258	10	-	-	PUNCT
cana-1282	258	11	based	base	VERB
cana-1282	258	12	deep	deep	ADJ
cana-1282	258	13	learning	learning	NOUN
cana-1282	258	14	.	.	PUNCT
cana-1282	259	1	in	in	ADP
cana-1282	259	2	international	international	ADJ
cana-1282	259	3	conference	conference	NOUN
cana-1282	259	4	on	on	ADP
cana-1282	259	5	hybrid	hybrid	ADJ
cana-1282	259	6	intelligent	intelligent	ADJ
cana-1282	259	7	systems	system	NOUN
cana-1282	259	8	(	(	PUNCT
cana-1282	259	9	pp	pp	ADJ
cana-1282	259	10	.	.	PUNCT
cana-1282	259	11	1031	1031	NUM
cana-1282	259	12	-	-	SYM
cana-1282	259	13	1040	1040	NUM
cana-1282	259	14	)	)	PUNCT
cana-1282	259	15	.	.	PUNCT
cana-1282	260	1	cham	cham	PROPN
cana-1282	260	2	:	:	PUNCT
cana-1282	260	3	springer	springer	NOUN
cana-1282	260	4	nature	nature	PROPN
cana-1282	260	5	switzerland	switzerland	PROPN
cana-1282	260	6	.	.	PUNCT
cana-1282	261	1	[	[	X
cana-1282	261	2	9	9	NUM
cana-1282	261	3	]	]	X
cana-1282	261	4	raman	raman	NOUN
cana-1282	261	5	,	,	PUNCT
cana-1282	261	6	r.	r.	PROPN
cana-1282	261	7	,	,	PUNCT
cana-1282	261	8	nedungadi	nedungadi	NOUN
cana-1282	261	9	,	,	PUNCT
cana-1282	261	10	p.	p.	PROPN
cana-1282	261	11	,	,	PUNCT
cana-1282	261	12	amrita	amrita	PROPN
cana-1282	261	13	,	,	PUNCT
cana-1282	261	14	r.	r.	PROPN
cana-1282	261	15	p.	p.	PROPN
cana-1282	261	16	,	,	PUNCT
cana-1282	261	17	banerji	banerji	PROPN
cana-1282	261	18	,	,	PUNCT
cana-1282	261	19	s.	s.	PROPN
cana-1282	261	20	,	,	PUNCT
cana-1282	261	21	mohan	mohan	PROPN
cana-1282	261	22	,	,	PUNCT
cana-1282	261	23	r.	r.	PROPN
cana-1282	261	24	,	,	PUNCT
cana-1282	261	25	&	&	CCONJ
cana-1282	261	26	ramesh	ramesh	PROPN
cana-1282	261	27	,	,	PUNCT
cana-1282	261	28	m.	m.	NOUN
cana-1282	261	29	v.	v.	CCONJ
cana-1282	261	30	(	(	PUNCT
cana-1282	261	31	2020	2020	NUM
cana-1282	261	32	,	,	PUNCT
cana-1282	261	33	october	october	PROPN
cana-1282	261	34	)	)	PUNCT
cana-1282	261	35	.	.	PUNCT
cana-1282	262	1	investigating	investigate	VERB
cana-1282	262	2	the	the	DET
cana-1282	262	3	factors	factor	NOUN
cana-1282	262	4	affecting	affect	VERB
cana-1282	262	5	the	the	DET
cana-1282	262	6	adoption	adoption	NOUN
cana-1282	262	7	of	of	ADP
cana-1282	262	8	experiential	experiential	ADJ
cana-1282	262	9	learning	learning	NOUN
cana-1282	262	10	programs	program	NOUN
cana-1282	262	11	:	:	PUNCT
cana-1282	262	12	mba	mba	NOUN
cana-1282	262	13	students	student	NOUN
cana-1282	262	14	experience	experience	VERB
cana-1282	262	15	with	with	ADP
cana-1282	262	16	live	live	ADJ
cana-1282	262	17	-	-	PUNCT
cana-1282	262	18	in	in	ADP
cana-1282	262	19	-	-	PUNCT
cana-1282	262	20	labs	lab	NOUN
cana-1282	262	21	.	.	PUNCT
cana-1282	263	1	in	in	ADP
cana-1282	263	2	2020	2020	NUM
cana-1282	263	3	ieee	ieee	NOUN
cana-1282	263	4	bangalore	bangalore	PROPN
cana-1282	263	5	humanitarian	humanitarian	ADJ
cana-1282	263	6	technology	technology	NOUN
cana-1282	263	7	conference	conference	NOUN
cana-1282	263	8	(	(	PUNCT
cana-1282	263	9	b	b	X
cana-1282	263	10	-	-	PUNCT
cana-1282	263	11	htc	htc	NOUN
cana-1282	263	12	)	)	PUNCT
cana-1282	263	13	(	(	PUNCT
cana-1282	263	14	pp	pp	X
cana-1282	263	15	.	.	PUNCT
cana-1282	264	1	1	1	NUM
cana-1282	264	2	-	-	SYM
cana-1282	264	3	6	6	NUM
cana-1282	264	4	)	)	PUNCT
cana-1282	264	5	.	.	PUNCT
cana-1282	265	1	ieee	ieee	NOUN
cana-1282	265	2	.	.	PUNCT
cana-1282	266	1	[	[	X
cana-1282	266	2	10	10	NUM
cana-1282	266	3	]	]	X
cana-1282	266	4	rajput	rajput	PROPN
cana-1282	266	5	,	,	PUNCT
cana-1282	266	6	k.	k.	PROPN
cana-1282	266	7	,	,	PUNCT
cana-1282	266	8	suganyadevi	suganyadevi	PROPN
cana-1282	266	9	,	,	PUNCT
cana-1282	266	10	k.	k.	PROPN
cana-1282	266	11	,	,	PUNCT
cana-1282	266	12	aeri	aeri	PROPN
cana-1282	266	13	,	,	PUNCT
cana-1282	266	14	m.	m.	NOUN
cana-1282	266	15	,	,	PUNCT
cana-1282	266	16	shukla	shukla	NOUN
cana-1282	266	17	,	,	PUNCT
cana-1282	266	18	r.	r.	PROPN
cana-1282	266	19	p.	p.	PROPN
cana-1282	266	20	,	,	PUNCT
cana-1282	266	21	&	&	CCONJ
cana-1282	266	22	gurjar	gurjar	PROPN
cana-1282	266	23	,	,	PUNCT
cana-1282	266	24	h.	h.	PROPN
cana-1282	266	25	(	(	PUNCT
cana-1282	266	26	2024	2024	NUM
cana-1282	266	27	,	,	PUNCT
cana-1282	266	28	may	may	AUX
cana-1282	266	29	)	)	PUNCT
cana-1282	266	30	.	.	PUNCT
cana-1282	267	1	multi	multi	ADJ
cana-1282	267	2	-	-	ADJ
cana-1282	267	3	scale	scale	ADJ
cana-1282	267	4	object	object	NOUN
cana-1282	267	5	detection	detection	NOUN
cana-1282	267	6	and	and	CCONJ
cana-1282	267	7	classification	classification	NOUN
cana-1282	267	8	using	use	VERB
cana-1282	267	9	machine	machine	NOUN
cana-1282	267	10	learning	learning	NOUN
cana-1282	267	11	and	and	CCONJ
cana-1282	267	12	image	image	NOUN
cana-1282	267	13	processing	processing	NOUN
cana-1282	267	14	.	.	PUNCT
cana-1282	268	1	in	in	ADP
cana-1282	268	2	2024	2024	NUM
cana-1282	268	3	second	second	ADJ
cana-1282	268	4	international	international	ADJ
cana-1282	268	5	conference	conference	NOUN
cana-1282	268	6	on	on	ADP
cana-1282	268	7	data	datum	NOUN
cana-1282	268	8	science	science	NOUN
cana-1282	268	9	and	and	CCONJ
cana-1282	268	10	information	information	NOUN
cana-1282	268	11	system	system	NOUN
cana-1282	268	12	(	(	PUNCT
cana-1282	268	13	icdsis	icdsis	NOUN
cana-1282	268	14	)	)	PUNCT
cana-1282	268	15	(	(	PUNCT
cana-1282	268	16	pp	pp	X
cana-1282	268	17	.	.	PUNCT
cana-1282	269	1	1	1	NUM
cana-1282	269	2	-	-	SYM
cana-1282	269	3	6	6	NUM
cana-1282	269	4	)	)	PUNCT
cana-1282	269	5	.	.	PUNCT
cana-1282	270	1	ieee	ieee	NOUN
cana-1282	270	2	.	.	PUNCT
cana-1282	271	1	[	[	X
cana-1282	271	2	11	11	NUM
cana-1282	271	3	]	]	PUNCT
cana-1282	271	4	nwankwo	nwankwo	PROPN
cana-1282	271	5	,	,	PUNCT
cana-1282	271	6	c.	c.	PROPN
cana-1282	271	7	,	,	PUNCT
cana-1282	271	8	umeorah	umeorah	PROPN
cana-1282	271	9	,	,	PUNCT
cana-1282	271	10	n.	n.	NOUN
cana-1282	271	11	,	,	PUNCT
cana-1282	271	12	ware	ware	NOUN
cana-1282	271	13	,	,	PUNCT
cana-1282	271	14	t.	t.	PROPN
cana-1282	271	15	,	,	PUNCT
cana-1282	271	16	&	&	CCONJ
cana-1282	271	17	dai	dai	PROPN
cana-1282	271	18	,	,	PUNCT
cana-1282	271	19	w.	w.	PROPN
cana-1282	271	20	(	(	PUNCT
cana-1282	271	21	2023	2023	NUM
cana-1282	271	22	)	)	PUNCT
cana-1282	271	23	.	.	PUNCT
cana-1282	272	1	deep	deep	ADJ
cana-1282	272	2	learning	learning	NOUN
cana-1282	272	3	and	and	CCONJ
cana-1282	272	4	american	american	ADJ
cana-1282	272	5	options	option	NOUN
cana-1282	272	6	via	via	ADP
cana-1282	272	7	free	free	ADJ
cana-1282	272	8	boundary	boundary	ADJ
cana-1282	272	9	framework	framework	NOUN
cana-1282	272	10	.	.	PUNCT
cana-1282	273	1	computational	computational	ADJ
cana-1282	273	2	economics	economic	NOUN
cana-1282	273	3	,	,	PUNCT
cana-1282	273	4	1	1	NUM
cana-1282	273	5	-	-	SYM
cana-1282	273	6	44	44	NUM
cana-1282	273	7	.	.	PUNCT
cana-1282	274	1	[	[	X
cana-1282	274	2	12	12	NUM
cana-1282	274	3	]	]	X
cana-1282	274	4	jayachandran	jayachandran	NOUN
cana-1282	274	5	,	,	PUNCT
cana-1282	274	6	s.	s.	PROPN
cana-1282	274	7	,	,	PUNCT
cana-1282	274	8	&	&	CCONJ
cana-1282	274	9	joshi	joshi	PROPN
cana-1282	274	10	,	,	PUNCT
cana-1282	274	11	b.	b.	PROPN
cana-1282	274	12	(	(	PUNCT
cana-1282	274	13	2024	2024	NUM
cana-1282	274	14	)	)	PUNCT
cana-1282	274	15	.	.	PUNCT
cana-1282	275	1	customized	customize	VERB
cana-1282	275	2	support	support	NOUN
cana-1282	275	3	vector	vector	NOUN
cana-1282	275	4	machine	machine	NOUN
cana-1282	275	5	for	for	ADP
cana-1282	275	6	predicting	predict	VERB
cana-1282	275	7	the	the	DET
cana-1282	275	8	employability	employability	NOUN
cana-1282	275	9	of	of	ADP
cana-1282	275	10	students	student	NOUN
cana-1282	275	11	pursuing	pursue	VERB
cana-1282	275	12	engineering	engineering	NOUN
cana-1282	275	13	.	.	PUNCT
cana-1282	276	1	international	international	ADJ
cana-1282	276	2	journal	journal	PROPN
cana-1282	276	3	of	of	ADP
cana-1282	276	4	information	information	NOUN
cana-1282	276	5	technology	technology	NOUN
cana-1282	276	6	,	,	PUNCT
cana-1282	276	7	16(5	16(5	NUM
cana-1282	276	8	)	)	PUNCT
cana-1282	276	9	,	,	PUNCT
cana-1282	276	10	3193	3193	NUM
cana-1282	276	11	-	-	SYM
cana-1282	276	12	3204	3204	NUM
cana-1282	276	13	.	.	PUNCT
cana-1282	277	1	[	[	X
cana-1282	277	2	13	13	NUM
cana-1282	277	3	]	]	SYM
cana-1282	277	4	yang	yang	PROPN
cana-1282	277	5	,	,	PUNCT
cana-1282	277	6	k.	k.	PROPN
cana-1282	277	7	,	,	PUNCT
cana-1282	277	8	lau	lau	PROPN
cana-1282	277	9	,	,	PUNCT
cana-1282	277	10	r.	r.	PROPN
cana-1282	277	11	y.	y.	PROPN
cana-1282	277	12	,	,	PUNCT
cana-1282	277	13	&	&	CCONJ
cana-1282	277	14	abbasi	abbasi	PROPN
cana-1282	277	15	,	,	PUNCT
cana-1282	277	16	a.	a.	PROPN
cana-1282	277	17	(	(	PUNCT
cana-1282	277	18	2023	2023	NUM
cana-1282	277	19	)	)	PUNCT
cana-1282	277	20	.	.	PUNCT
cana-1282	278	1	getting	get	VERB
cana-1282	278	2	personal	personal	ADJ
cana-1282	278	3	:	:	PUNCT
cana-1282	278	4	a	a	DET
cana-1282	278	5	deep	deep	ADJ
cana-1282	278	6	learning	learning	NOUN
cana-1282	278	7	artifact	artifact	NOUN
cana-1282	278	8	for	for	ADP
cana-1282	278	9	text	text	NOUN
cana-1282	278	10	-	-	PUNCT
cana-1282	278	11	based	base	VERB
cana-1282	278	12	measurement	measurement	NOUN
cana-1282	278	13	of	of	ADP
cana-1282	278	14	personality	personality	NOUN
cana-1282	278	15	.	.	PUNCT
cana-1282	279	1	information	information	NOUN
cana-1282	279	2	systems	system	NOUN
cana-1282	279	3	research	research	NOUN
cana-1282	279	4	,	,	PUNCT
cana-1282	279	5	34(1	34(1	NUM
cana-1282	279	6	)	)	PUNCT
cana-1282	279	7	,	,	PUNCT
cana-1282	279	8	194	194	NUM
cana-1282	279	9	-	-	SYM
cana-1282	279	10	222	222	NUM
cana-1282	279	11	.	.	PUNCT
cana-1282	280	1	[	[	X
cana-1282	280	2	14	14	NUM
cana-1282	280	3	]	]	X
cana-1282	280	4	pilario	pilario	NOUN
cana-1282	280	5	,	,	PUNCT
cana-1282	280	6	k.	k.	PROPN
cana-1282	280	7	e.	e.	PROPN
cana-1282	280	8	(	(	PUNCT
cana-1282	280	9	2024	2024	NUM
cana-1282	280	10	)	)	PUNCT
cana-1282	280	11	.	.	PUNCT
cana-1282	281	1	teaching	teach	VERB
cana-1282	281	2	classical	classical	ADJ
cana-1282	281	3	machine	machine	NOUN
cana-1282	281	4	learning	learning	NOUN
cana-1282	281	5	as	as	ADP
cana-1282	281	6	a	a	DET
cana-1282	281	7	graduate	graduate	NOUN
cana-1282	281	8	-	-	PUNCT
cana-1282	281	9	level	level	NOUN
cana-1282	281	10	course	course	NOUN
cana-1282	281	11	in	in	ADP
cana-1282	281	12	chemical	chemical	ADJ
cana-1282	281	13	engineering	engineering	NOUN
cana-1282	281	14	:	:	PUNCT
cana-1282	281	15	an	an	DET
cana-1282	281	16	algorithmic	algorithmic	ADJ
cana-1282	281	17	approach	approach	NOUN
cana-1282	281	18	.	.	PUNCT
cana-1282	282	1	digital	digital	ADJ
cana-1282	282	2	chemical	chemical	PROPN
cana-1282	282	3	engineering	engineering	NOUN
cana-1282	282	4	,	,	PUNCT
cana-1282	282	5	100163	100163	NUM
cana-1282	282	6	.	.	PUNCT
cana-1282	283	1	[	[	X
cana-1282	283	2	15	15	NUM
cana-1282	283	3	]	]	X
cana-1282	283	4	ahmed	ahmed	PROPN
cana-1282	283	5	,	,	PUNCT
cana-1282	283	6	w.	w.	PROPN
cana-1282	283	7	(	(	PUNCT
cana-1282	283	8	2023	2023	NUM
cana-1282	283	9	)	)	PUNCT
cana-1282	283	10	.	.	PUNCT
cana-1282	284	1	understanding	understand	VERB
cana-1282	284	2	self	self	NOUN
cana-1282	284	3	-	-	PUNCT
cana-1282	284	4	directed	direct	VERB
cana-1282	284	5	learning	learn	VERB
cana-1282	284	6	behavior	behavior	NOUN
cana-1282	284	7	towards	towards	ADP
cana-1282	284	8	digital	digital	ADJ
cana-1282	284	9	competence	competence	NOUN
cana-1282	284	10	among	among	ADP
cana-1282	284	11	business	business	NOUN
cana-1282	284	12	research	research	NOUN
cana-1282	284	13	students	student	NOUN
cana-1282	284	14	:	:	PUNCT
cana-1282	284	15	sem	sem	ADJ
cana-1282	284	16	-	-	PUNCT
cana-1282	284	17	neural	neural	ADJ
cana-1282	284	18	analysis	analysis	NOUN
cana-1282	284	19	.	.	PUNCT
cana-1282	285	1	education	education	NOUN
cana-1282	285	2	and	and	CCONJ
cana-1282	285	3	information	information	NOUN
cana-1282	285	4	technologies	technology	NOUN
cana-1282	285	5	,	,	PUNCT
cana-1282	285	6	28(4	28(4	NUM
cana-1282	285	7	)	)	PUNCT
cana-1282	285	8	,	,	PUNCT
cana-1282	285	9	4173	4173	NUM
cana-1282	285	10	-	-	SYM
cana-1282	285	11	4202	4202	NUM
cana-1282	285	12	.	.	PUNCT