id	sid	tid	token	lemma	pos
cana-1284	1	1	communications	communication	NOUN
cana-1284	1	2	on	on	ADP
cana-1284	1	3	applied	apply	VERB
cana-1284	1	4	nonlinear	nonlinear	ADJ
cana-1284	1	5	analysis	analysis	NOUN
cana-1284	1	6	issn	issn	NOUN
cana-1284	1	7	:	:	PUNCT
cana-1284	1	8	1074	1074	NUM
cana-1284	1	9	-	-	PUNCT
cana-1284	1	10	133x	133x	NUM
cana-1284	1	11	vol	vol	NOUN
cana-1284	1	12	31	31	NUM
cana-1284	1	13	no	no	NOUN
cana-1284	1	14	.	.	PUNCT
cana-1284	2	1	7s	7	NOUN
cana-1284	2	2	(	(	PUNCT
cana-1284	2	3	2024	2024	NUM
cana-1284	2	4	)	)	PUNCT
cana-1284	2	5	53	53	NUM
cana-1284	2	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1284	2	7	applied	apply	VERB
cana-1284	2	8	nonlinear	nonlinear	ADJ
cana-1284	2	9	analysis	analysis	NOUN
cana-1284	2	10	of	of	ADP
cana-1284	2	11	deep	deep	ADJ
cana-1284	2	12	learning	learning	NOUN
cana-1284	2	13	models	model	NOUN
cana-1284	2	14	in	in	ADP
cana-1284	2	15	mba	mba	NOUN
cana-1284	2	16	streams	stream	NOUN
cana-1284	2	17	:	:	PUNCT
cana-1284	2	18	a	a	DET
cana-1284	2	19	mathematical	mathematical	ADJ
cana-1284	2	20	and	and	CCONJ
cana-1284	2	21	statistical	statistical	ADJ
cana-1284	2	22	perspective	perspective	NOUN
cana-1284	2	23	1somasekhar	1somasekhar	NUM
cana-1284	2	24	donthu	donthu	NOUN
cana-1284	2	25	,	,	PUNCT
cana-1284	2	26	assistant	assistant	NOUN
cana-1284	2	27	professor	professor	NOUN
cana-1284	2	28	,	,	PUNCT
cana-1284	2	29	school	school	NOUN
cana-1284	2	30	of	of	ADP
cana-1284	2	31	business	business	NOUN
cana-1284	2	32	,	,	PUNCT
cana-1284	2	33	gitam	gitam	NOUN
cana-1284	2	34	university	university	NOUN
cana-1284	2	35	,	,	PUNCT
cana-1284	2	36	bangalore	bangalore	PROPN
cana-1284	2	37	,	,	PUNCT
cana-1284	2	38	karnataka	karnataka	PROPN
cana-1284	2	39	,	,	PUNCT
cana-1284	2	40	india	india	PROPN
cana-1284	2	41	.	.	PUNCT
cana-1284	3	1	somuecom@gmail.com	somuecom@gmail.com	PROPN
cana-1284	4	1	2	2	NUM
cana-1284	4	2	g.	g.	PROPN
cana-1284	4	3	radha	radha	PROPN
cana-1284	4	4	,	,	PUNCT
cana-1284	4	5	associate	associate	NOUN
cana-1284	4	6	professor	professor	NOUN
cana-1284	4	7	,	,	PUNCT
cana-1284	4	8	department	department	NOUN
cana-1284	4	9	of	of	ADP
cana-1284	4	10	humanities	humanity	NOUN
cana-1284	4	11	and	and	CCONJ
cana-1284	4	12	science	science	NOUN
cana-1284	4	13	,	,	PUNCT
cana-1284	4	14	ksrm	ksrm	PROPN
cana-1284	4	15	college	college	NOUN
cana-1284	4	16	of	of	ADP
cana-1284	4	17	engineering	engineering	NOUN
cana-1284	4	18	(	(	PUNCT
cana-1284	4	19	autonomous	autonomous	ADJ
cana-1284	4	20	)	)	PUNCT
cana-1284	4	21	,	,	PUNCT
cana-1284	4	22	kadapa	kadapa	PROPN
cana-1284	4	23	,	,	PUNCT
cana-1284	4	24	andhra	andhra	PROPN
cana-1284	4	25	pradesh	pradesh	PROPN
cana-1284	4	26	,	,	PUNCT
cana-1284	4	27	india	india	PROPN
cana-1284	4	28	,	,	PUNCT
cana-1284	4	29	radhagajjala79@gmail.com	radhagajjala79@gmail.com	X
cana-1284	4	30	3udayakumar	3udayakumar	NUM
cana-1284	4	31	u	u	NOUN
cana-1284	4	32	,	,	PUNCT
cana-1284	4	33	assistant	assistant	NOUN
cana-1284	4	34	professor	professor	NOUN
cana-1284	4	35	,	,	PUNCT
cana-1284	4	36	faculty	faculty	NOUN
cana-1284	4	37	of	of	ADP
cana-1284	4	38	science	science	NOUN
cana-1284	4	39	and	and	CCONJ
cana-1284	4	40	humanities	humanity	NOUN
cana-1284	4	41	,	,	PUNCT
cana-1284	4	42	srmist	srmist	NOUN
cana-1284	4	43	,	,	PUNCT
cana-1284	4	44	ramapuram	ramapuram	NOUN
cana-1284	4	45	,	,	PUNCT
cana-1284	4	46	chennai	chennai	NOUN
cana-1284	4	47	,	,	PUNCT
cana-1284	4	48	tamilnadu	tamilnadu	NOUN
cana-1284	4	49	,	,	PUNCT
cana-1284	4	50	india	india	PROPN
cana-1284	4	51	.	.	PUNCT
cana-1284	5	1	phd.udayakumar1993@gmail.com	phd.udayakumar1993@gmail.com	PROPN
cana-1284	5	2	4arulkarthick	4arulkarthick	NUM
cana-1284	5	3	e	e	X
cana-1284	5	4	k	k	PROPN
cana-1284	5	5	,	,	PUNCT
cana-1284	5	6	assistant	assistant	NOUN
cana-1284	5	7	professor	professor	NOUN
cana-1284	5	8	,	,	PUNCT
cana-1284	5	9	department	department	PROPN
cana-1284	5	10	of	of	ADP
cana-1284	5	11	ece	ece	PROPN
cana-1284	5	12	,	,	PUNCT
cana-1284	5	13	nandha	nandha	NOUN
cana-1284	5	14	engineering	engineering	PROPN
cana-1284	5	15	college	college	NOUN
cana-1284	5	16	,	,	PUNCT
cana-1284	5	17	erode	erode	VERB
cana-1284	5	18	,	,	PUNCT
cana-1284	5	19	tamilnadu	tamilnadu	NOUN
cana-1284	5	20	,	,	PUNCT
cana-1284	5	21	india	india	PROPN
cana-1284	5	22	.	.	PUNCT
cana-1284	6	1	arulkarthickek@gmail.com	arulkarthickek@gmail.com	X
cana-1284	7	1	5k	5k	X
cana-1284	7	2	.	.	PUNCT
cana-1284	8	1	soujanya	soujanya	PROPN
cana-1284	8	2	,	,	PUNCT
cana-1284	8	3	assistant	assistant	NOUN
cana-1284	8	4	professor	professor	NOUN
cana-1284	8	5	,	,	PUNCT
cana-1284	8	6	department	department	NOUN
cana-1284	8	7	of	of	ADP
cana-1284	8	8	bba	bba	PROPN
cana-1284	8	9	,	,	PUNCT
cana-1284	8	10	koneru	koneru	PROPN
cana-1284	8	11	lakshmaiah	lakshmaiah	PROPN
cana-1284	8	12	education	education	PROPN
cana-1284	8	13	foundation	foundation	PROPN
cana-1284	8	14	,	,	PUNCT
cana-1284	8	15	vaddeswaram	vaddeswaram	PROPN
cana-1284	8	16	,	,	PUNCT
cana-1284	8	17	guntur	guntur	PROPN
cana-1284	8	18	,	,	PUNCT
cana-1284	8	19	andhra	andhra	PROPN
cana-1284	8	20	pradesh	pradesh	PROPN
cana-1284	8	21	,	,	PUNCT
cana-1284	8	22	india	india	PROPN
cana-1284	8	23	.	.	PUNCT
cana-1284	9	1	soujanyadaniel@gmail.com	soujanyadaniel@gmail.com	X
cana-1284	10	1	6ramachandran	6ramachandran	NUM
cana-1284	10	2	a	a	DET
cana-1284	10	3	,	,	PUNCT
cana-1284	10	4	associate	associate	ADJ
cana-1284	10	5	professor	professor	NOUN
cana-1284	10	6	,	,	PUNCT
cana-1284	10	7	department	department	PROPN
cana-1284	10	8	of	of	ADP
cana-1284	10	9	cse	cse	PROPN
cana-1284	10	10	,	,	PUNCT
cana-1284	10	11	saveetha	saveetha	PROPN
cana-1284	10	12	engineering	engineering	PROPN
cana-1284	10	13	college	college	PROPN
cana-1284	10	14	,	,	PUNCT
cana-1284	10	15	chennai	chennai	PROPN
cana-1284	10	16	,	,	PUNCT
cana-1284	10	17	tamilnadu	tamilnadu	NOUN
cana-1284	10	18	,	,	PUNCT
cana-1284	10	19	india	india	PROPN
cana-1284	10	20	.	.	PUNCT
cana-1284	11	1	msg2chandran@gmail.com	msg2chandran@gmail.com	PROPN
cana-1284	11	2	article	article	NOUN
cana-1284	11	3	history	history	NOUN
cana-1284	11	4	:	:	PUNCT
cana-1284	11	5	received	receive	VERB
cana-1284	11	6	:	:	PUNCT
cana-1284	11	7	01	01	NUM
cana-1284	11	8	-	-	PUNCT
cana-1284	11	9	06	06	NUM
cana-1284	11	10	-	-	PUNCT
cana-1284	11	11	2024	2024	NUM
cana-1284	11	12	revised	revise	VERB
cana-1284	11	13	:	:	PUNCT
cana-1284	11	14	03	03	NUM
cana-1284	11	15	-	-	PUNCT
cana-1284	11	16	07	07	NUM
cana-1284	11	17	-	-	PUNCT
cana-1284	11	18	2024	2024	NUM
cana-1284	11	19	accepted	accept	VERB
cana-1284	11	20	:	:	PUNCT
cana-1284	11	21	29	29	NUM
cana-1284	11	22	-	-	SYM
cana-1284	11	23	07	07	NUM
cana-1284	11	24	-	-	PUNCT
cana-1284	11	25	2024	2024	NUM
cana-1284	11	26	abstract	abstract	NOUN
cana-1284	11	27	:	:	PUNCT
cana-1284	11	28	as	as	SCONJ
cana-1284	11	29	educational	educational	ADJ
cana-1284	11	30	institutions	institution	NOUN
cana-1284	11	31	strive	strive	VERB
cana-1284	11	32	to	to	PART
cana-1284	11	33	enhance	enhance	VERB
cana-1284	11	34	student	student	NOUN
cana-1284	11	35	performance	performance	NOUN
cana-1284	11	36	and	and	CCONJ
cana-1284	11	37	outcomes	outcome	NOUN
cana-1284	11	38	,	,	PUNCT
cana-1284	11	39	integration	integration	NOUN
cana-1284	11	40	of	of	ADP
cana-1284	11	41	advanced	advanced	ADJ
cana-1284	11	42	computing	computing	NOUN
cana-1284	11	43	techniques	technique	NOUN
cana-1284	11	44	becomes	become	VERB
cana-1284	11	45	even	even	ADV
cana-1284	11	46	more	more	ADV
cana-1284	11	47	critical	critical	ADJ
cana-1284	11	48	.	.	PUNCT
cana-1284	12	1	to	to	PART
cana-1284	12	2	address	address	VERB
cana-1284	12	3	this	this	PRON
cana-1284	12	4	,	,	PUNCT
cana-1284	12	5	we	we	PRON
cana-1284	12	6	simulated	simulate	VERB
cana-1284	12	7	student	student	NOUN
cana-1284	12	8	performance	performance	NOUN
cana-1284	12	9	in	in	ADP
cana-1284	12	10	mba	mba	NOUN
cana-1284	12	11	streams	stream	NOUN
cana-1284	12	12	using	use	VERB
cana-1284	12	13	a	a	DET
cana-1284	12	14	nonlinear	nonlinear	ADJ
cana-1284	12	15	deep	deep	ADJ
cana-1284	12	16	radial	radial	ADJ
cana-1284	12	17	basis	basis	NOUN
cana-1284	12	18	function	function	NOUN
cana-1284	12	19	(	(	PUNCT
cana-1284	12	20	rbf	rbf	PROPN
cana-1284	12	21	)	)	PUNCT
cana-1284	12	22	network	network	NOUN
cana-1284	12	23	.	.	PUNCT
cana-1284	13	1	this	this	DET
cana-1284	13	2	method	method	NOUN
cana-1284	13	3	uses	use	VERB
cana-1284	13	4	the	the	DET
cana-1284	13	5	capacity	capacity	NOUN
cana-1284	13	6	of	of	ADP
cana-1284	13	7	the	the	DET
cana-1284	13	8	rbf	rbf	PROPN
cana-1284	13	9	network	network	NOUN
cana-1284	13	10	to	to	PART
cana-1284	13	11	control	control	NOUN
cana-1284	13	12	nonlinearities	nonlinearitie	NOUN
cana-1284	13	13	via	via	ADP
cana-1284	13	14	its	its	PRON
cana-1284	13	15	radial	radial	ADJ
cana-1284	13	16	basis	basis	NOUN
cana-1284	13	17	functions	function	NOUN
cana-1284	13	18	together	together	ADV
cana-1284	13	19	with	with	ADP
cana-1284	13	20	a	a	DET
cana-1284	13	21	deep	deep	ADJ
cana-1284	13	22	learning	learning	NOUN
cana-1284	13	23	technique	technique	NOUN
cana-1284	13	24	to	to	PART
cana-1284	13	25	increase	increase	VERB
cana-1284	13	26	the	the	DET
cana-1284	13	27	capability	capability	NOUN
cana-1284	13	28	of	of	ADP
cana-1284	13	29	the	the	DET
cana-1284	13	30	model	model	NOUN
cana-1284	13	31	.	.	PUNCT
cana-1284	14	1	following	follow	VERB
cana-1284	14	2	hybrid	hybrid	ADJ
cana-1284	14	3	optimization	optimization	NOUN
cana-1284	14	4	with	with	ADP
cana-1284	14	5	gradient	gradient	ADJ
cana-1284	14	6	descent	descent	NOUN
cana-1284	14	7	and	and	CCONJ
cana-1284	14	8	evolutionary	evolutionary	ADJ
cana-1284	14	9	algorithms	algorithm	NOUN
cana-1284	14	10	,	,	PUNCT
cana-1284	14	11	we	we	PRON
cana-1284	14	12	assessed	assess	VERB
cana-1284	14	13	the	the	DET
cana-1284	14	14	performance	performance	NOUN
cana-1284	14	15	of	of	ADP
cana-1284	14	16	the	the	DET
cana-1284	14	17	network	network	NOUN
cana-1284	14	18	using	use	VERB
cana-1284	14	19	crossvaluation	crossvaluation	NOUN
cana-1284	14	20	techniques	technique	NOUN
cana-1284	14	21	.	.	PUNCT
cana-1284	15	1	over	over	ADP
cana-1284	15	2	typical	typical	ADJ
cana-1284	15	3	linear	linear	ADJ
cana-1284	15	4	models	model	NOUN
cana-1284	15	5	,	,	PUNCT
cana-1284	15	6	the	the	DET
cana-1284	15	7	nonlinear	nonlinear	ADJ
cana-1284	15	8	deep	deep	PROPN
cana-1284	15	9	rbf	rbf	PROPN
cana-1284	15	10	model	model	NOUN
cana-1284	15	11	exhibited	exhibit	VERB
cana-1284	15	12	better	well	ADJ
cana-1284	15	13	performance	performance	NOUN
cana-1284	15	14	.	.	PUNCT
cana-1284	16	1	with	with	ADP
cana-1284	16	2	a	a	DET
cana-1284	16	3	mean	mean	ADJ
cana-1284	16	4	absolute	absolute	ADJ
cana-1284	16	5	error	error	NOUN
cana-1284	16	6	(	(	PUNCT
cana-1284	16	7	mae	mae	PROPN
cana-1284	16	8	)	)	PUNCT
cana-1284	16	9	of	of	ADP
cana-1284	16	10	0.25	0.25	NUM
cana-1284	16	11	and	and	CCONJ
cana-1284	16	12	a	a	DET
cana-1284	16	13	root	root	NOUN
cana-1284	16	14	mean	mean	NOUN
cana-1284	16	15	square	square	ADJ
cana-1284	16	16	error	error	NOUN
cana-1284	16	17	(	(	PUNCT
cana-1284	16	18	rmse	rmse	NOUN
cana-1284	16	19	)	)	PUNCT
cana-1284	16	20	of	of	ADP
cana-1284	16	21	0.35	0.35	NUM
cana-1284	16	22	it	it	PRON
cana-1284	16	23	attained	attain	VERB
cana-1284	16	24	a	a	DET
cana-1284	16	25	prediction	prediction	NOUN
cana-1284	16	26	accuracy	accuracy	NOUN
cana-1284	16	27	of	of	ADP
cana-1284	16	28	87.5	87.5	NUM
cana-1284	16	29	%	%	NOUN
cana-1284	16	30	.	.	PUNCT
cana-1284	17	1	these	these	DET
cana-1284	17	2	results	result	NOUN
cana-1284	17	3	suggest	suggest	VERB
cana-1284	17	4	that	that	SCONJ
cana-1284	17	5	while	while	SCONJ
cana-1284	17	6	nonlinear	nonlinear	ADJ
cana-1284	17	7	modeling	modeling	NOUN
cana-1284	17	8	shows	show	VERB
cana-1284	17	9	a	a	DET
cana-1284	17	10	clear	clear	ADJ
cana-1284	17	11	increase	increase	NOUN
cana-1284	17	12	in	in	ADP
cana-1284	17	13	the	the	DET
cana-1284	17	14	accuracy	accuracy	NOUN
cana-1284	17	15	of	of	ADP
cana-1284	17	16	the	the	DET
cana-1284	17	17	model	model	NOUN
cana-1284	17	18	to	to	PART
cana-1284	17	19	estimate	estimate	VERB
cana-1284	17	20	student	student	NOUN
cana-1284	17	21	performance	performance	NOUN
cana-1284	17	22	,	,	PUNCT
cana-1284	17	23	it	it	PRON
cana-1284	17	24	may	may	AUX
cana-1284	17	25	effectively	effectively	ADV
cana-1284	17	26	represent	represent	VERB
cana-1284	17	27	the	the	DET
cana-1284	17	28	complex	complex	ADJ
cana-1284	17	29	interactions	interaction	NOUN
cana-1284	17	30	driving	drive	VERB
cana-1284	17	31	academic	academic	ADJ
cana-1284	17	32	success	success	NOUN
cana-1284	17	33	.	.	PUNCT
cana-1284	18	1	keywords	keyword	NOUN
cana-1284	18	2	:	:	PUNCT
cana-1284	18	3	nonlinear	nonlinear	ADJ
cana-1284	18	4	modeling	modeling	NOUN
cana-1284	18	5	,	,	PUNCT
cana-1284	18	6	deep	deep	ADJ
cana-1284	18	7	radial	radial	ADJ
cana-1284	18	8	basis	basis	NOUN
cana-1284	18	9	function	function	NOUN
cana-1284	18	10	,	,	PUNCT
cana-1284	18	11	student	student	NOUN
cana-1284	18	12	performance	performance	NOUN
cana-1284	18	13	,	,	PUNCT
cana-1284	18	14	mba	mba	NOUN
cana-1284	18	15	streams	stream	NOUN
cana-1284	18	16	,	,	PUNCT
cana-1284	18	17	predictive	predictive	ADJ
cana-1284	18	18	analytics	analytic	NOUN
cana-1284	18	19	.	.	PUNCT
cana-1284	19	1	1	1	X
cana-1284	19	2	.	.	X
cana-1284	19	3	introduction	introduction	NOUN
cana-1284	19	4	in	in	ADP
cana-1284	19	5	the	the	DET
cana-1284	19	6	big	big	ADJ
cana-1284	19	7	data	data	PROPN
cana-1284	19	8	era	era	NOUN
cana-1284	19	9	,	,	PUNCT
cana-1284	19	10	the	the	DET
cana-1284	19	11	examination	examination	NOUN
cana-1284	19	12	of	of	ADP
cana-1284	19	13	student	student	NOUN
cana-1284	19	14	performance	performance	NOUN
cana-1284	19	15	in	in	ADP
cana-1284	19	16	educational	educational	ADJ
cana-1284	19	17	programs	program	NOUN
cana-1284	19	18	has	have	AUX
cana-1284	19	19	been	be	AUX
cana-1284	19	20	a	a	DET
cana-1284	19	21	major	major	ADJ
cana-1284	19	22	emphasis	emphasis	NOUN
cana-1284	19	23	of	of	ADP
cana-1284	19	24	attention	attention	NOUN
cana-1284	19	25	[	[	X
cana-1284	19	26	1,2	1,2	NUM
cana-1284	19	27	]	]	PUNCT
cana-1284	19	28	.	.	PUNCT
cana-1284	20	1	prediction	prediction	NOUN
cana-1284	20	2	and	and	CCONJ
cana-1284	20	3	knowledge	knowledge	NOUN
cana-1284	20	4	of	of	ADP
cana-1284	20	5	student	student	NOUN
cana-1284	20	6	outcomes	outcome	NOUN
cana-1284	20	7	is	be	AUX
cana-1284	20	8	vitally	vitally	ADV
cana-1284	20	9	essential	essential	ADJ
cana-1284	20	10	for	for	ADP
cana-1284	20	11	educational	educational	ADJ
cana-1284	20	12	institutions	institution	NOUN
cana-1284	20	13	trying	try	VERB
cana-1284	20	14	to	to	PART
cana-1284	20	15	enhance	enhance	VERB
cana-1284	20	16	teaching	teaching	NOUN
cana-1284	20	17	methodologies	methodology	NOUN
cana-1284	20	18	,	,	PUNCT
cana-1284	20	19	boost	boost	VERB
cana-1284	20	20	student	student	NOUN
cana-1284	20	21	support	support	NOUN
cana-1284	20	22	systems	system	NOUN
cana-1284	20	23	,	,	PUNCT
cana-1284	20	24	and	and	CCONJ
cana-1284	20	25	optimal	optimal	ADJ
cana-1284	20	26	resource	resource	NOUN
cana-1284	20	27	allocation	allocation	NOUN
cana-1284	20	28	[	[	X
cana-1284	20	29	3	3	NUM
cana-1284	20	30	]	]	PUNCT
cana-1284	20	31	.	.	PUNCT
cana-1284	21	1	using	use	VERB
cana-1284	21	2	traditional	traditional	ADJ
cana-1284	21	3	performance	performance	NOUN
cana-1284	21	4	prediction	prediction	NOUN
cana-1284	21	5	methods	method	NOUN
cana-1284	21	6	like	like	ADP
cana-1284	21	7	random	random	ADJ
cana-1284	21	8	forest	forest	NOUN
cana-1284	21	9	(	(	PUNCT
cana-1284	21	10	rf	rf	NOUN
cana-1284	21	11	)	)	PUNCT
cana-1284	21	12	,	,	PUNCT
cana-1284	21	13	multi	multi	ADJ
cana-1284	21	14	-	-	ADJ
cana-1284	21	15	layer	layer	ADJ
cana-1284	21	16	perceptron	perceptron	NOUN
cana-1284	21	17	(	(	PUNCT
cana-1284	21	18	mlp	mlp	PROPN
cana-1284	21	19	)	)	PUNCT
cana-1284	21	20	,	,	PUNCT
cana-1284	21	21	and	and	CCONJ
cana-1284	21	22	fuzzy	fuzzy	ADJ
cana-1284	21	23	,	,	PUNCT
cana-1284	21	24	analysis	analysis	NOUN
cana-1284	21	25	of	of	ADP
cana-1284	21	26	student	student	NOUN
cana-1284	21	27	data	datum	NOUN
cana-1284	21	28	has	have	AUX
cana-1284	21	29	revealed	reveal	VERB
cana-1284	21	30	that	that	SCONJ
cana-1284	21	31	they	they	PRON
cana-1284	21	32	usually	usually	ADV
cana-1284	21	33	struggle	struggle	VERB
cana-1284	21	34	to	to	PART
cana-1284	21	35	manage	manage	VERB
cana-1284	21	36	the	the	DET
cana-1284	21	37	complexity	complexity	NOUN
cana-1284	21	38	and	and	CCONJ
cana-1284	21	39	non	non	ADJ
cana-1284	21	40	-	-	ADJ
cana-1284	21	41	linearity	linearity	ADJ
cana-1284	21	42	inherent	inherent	ADJ
cana-1284	21	43	in	in	ADP
cana-1284	21	44	educational	educational	ADJ
cana-1284	21	45	performance	performance	NOUN
cana-1284	21	46	datasets	dataset	NOUN
cana-1284	21	47	[	[	X
cana-1284	21	48	4	4	NUM
cana-1284	21	49	]	]	PUNCT
cana-1284	21	50	.	.	PUNCT
cana-1284	22	1	communications	communication	NOUN
cana-1284	22	2	on	on	ADP
cana-1284	22	3	applied	apply	VERB
cana-1284	22	4	nonlinear	nonlinear	ADJ
cana-1284	22	5	analysis	analysis	NOUN
cana-1284	22	6	issn	issn	NOUN
cana-1284	22	7	:	:	PUNCT
cana-1284	22	8	1074	1074	NUM
cana-1284	22	9	-	-	PUNCT
cana-1284	22	10	133x	133x	NUM
cana-1284	22	11	vol	vol	NOUN
cana-1284	22	12	31	31	NUM
cana-1284	22	13	no	no	NOUN
cana-1284	22	14	.	.	PUNCT
cana-1284	23	1	7s	7	NOUN
cana-1284	23	2	(	(	PUNCT
cana-1284	23	3	2024	2024	NUM
cana-1284	23	4	)	)	PUNCT
cana-1284	23	5	54	54	NUM
cana-1284	23	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1284	23	7	the	the	DET
cana-1284	23	8	key	key	ADJ
cana-1284	23	9	challenges	challenge	NOUN
cana-1284	23	10	in	in	ADP
cana-1284	23	11	assessing	assess	VERB
cana-1284	23	12	student	student	NOUN
cana-1284	23	13	performance	performance	NOUN
cana-1284	23	14	are	be	AUX
cana-1284	23	15	defined	define	VERB
cana-1284	23	16	by	by	ADP
cana-1284	23	17	the	the	DET
cana-1284	23	18	high	high	ADV
cana-1284	23	19	-	-	PUNCT
cana-1284	23	20	dimensional	dimensional	ADJ
cana-1284	23	21	structure	structure	NOUN
cana-1284	23	22	of	of	ADP
cana-1284	23	23	the	the	DET
cana-1284	23	24	data	datum	NOUN
cana-1284	23	25	,	,	PUNCT
cana-1284	23	26	the	the	DET
cana-1284	23	27	occurrence	occurrence	NOUN
cana-1284	23	28	of	of	ADP
cana-1284	23	29	non	non	ADJ
cana-1284	23	30	-	-	ADJ
cana-1284	23	31	linear	linear	ADJ
cana-1284	23	32	correlations	correlation	NOUN
cana-1284	23	33	between	between	ADP
cana-1284	23	34	attributes	attribute	NOUN
cana-1284	23	35	,	,	PUNCT
cana-1284	23	36	and	and	CCONJ
cana-1284	23	37	the	the	DET
cana-1284	23	38	variability	variability	NOUN
cana-1284	23	39	in	in	ADP
cana-1284	23	40	student	student	NOUN
cana-1284	23	41	performance	performance	NOUN
cana-1284	23	42	results	result	NOUN
cana-1284	23	43	[	[	X
cana-1284	23	44	5	5	NUM
cana-1284	23	45	-	-	SYM
cana-1284	23	46	7	7	NUM
cana-1284	23	47	]	]	PUNCT
cana-1284	23	48	.	.	PUNCT
cana-1284	24	1	the	the	DET
cana-1284	24	2	fundamental	fundamental	ADJ
cana-1284	24	3	problem	problem	NOUN
cana-1284	24	4	answered	answer	VERB
cana-1284	24	5	is	be	AUX
cana-1284	24	6	the	the	DET
cana-1284	24	7	limitation	limitation	NOUN
cana-1284	24	8	of	of	ADP
cana-1284	24	9	present	present	ADJ
cana-1284	24	10	methods	method	NOUN
cana-1284	24	11	in	in	ADP
cana-1284	24	12	correctly	correctly	ADV
cana-1284	24	13	estimating	estimate	VERB
cana-1284	24	14	student	student	NOUN
cana-1284	24	15	performance	performance	NOUN
cana-1284	24	16	in	in	ADP
cana-1284	24	17	mba	mba	NOUN
cana-1284	24	18	programs	program	NOUN
cana-1284	24	19	using	use	VERB
cana-1284	24	20	different	different	ADJ
cana-1284	24	21	and	and	CCONJ
cana-1284	24	22	high	high	ADV
cana-1284	24	23	-	-	PUNCT
cana-1284	24	24	dimensional	dimensional	ADJ
cana-1284	24	25	data	datum	NOUN
cana-1284	24	26	[	[	X
cana-1284	24	27	8	8	NUM
cana-1284	24	28	-	-	SYM
cana-1284	24	29	11	11	NUM
cana-1284	24	30	]	]	PUNCT
cana-1284	24	31	.	.	PUNCT
cana-1284	25	1	the	the	DET
cana-1284	25	2	objective	objective	NOUN
cana-1284	25	3	of	of	ADP
cana-1284	25	4	the	the	DET
cana-1284	25	5	proposed	propose	VERB
cana-1284	25	6	work	work	NOUN
cana-1284	25	7	involves	involve	VERB
cana-1284	25	8	:	:	PUNCT
cana-1284	25	9	1	1	X
cana-1284	25	10	.	.	PUNCT
cana-1284	25	11	to	to	PART
cana-1284	25	12	build	build	VERB
cana-1284	25	13	a	a	DET
cana-1284	25	14	new	new	ADJ
cana-1284	25	15	deep	deep	ADJ
cana-1284	25	16	rbf	rbf	PROPN
cana-1284	25	17	network	network	NOUN
cana-1284	25	18	especially	especially	ADV
cana-1284	25	19	for	for	ADP
cana-1284	25	20	student	student	NOUN
cana-1284	25	21	performance	performance	NOUN
cana-1284	25	22	prediction	prediction	NOUN
cana-1284	25	23	using	use	VERB
cana-1284	25	24	its	its	PRON
cana-1284	25	25	power	power	NOUN
cana-1284	25	26	to	to	PART
cana-1284	25	27	effectively	effectively	ADV
cana-1284	25	28	model	model	VERB
cana-1284	25	29	complicated	complicated	ADJ
cana-1284	25	30	non	non	ADJ
cana-1284	25	31	-	-	ADJ
cana-1284	25	32	linear	linear	ADJ
cana-1284	25	33	interactions	interaction	NOUN
cana-1284	25	34	.	.	PUNCT
cana-1284	26	1	2	2	X
cana-1284	26	2	.	.	X
cana-1284	26	3	to	to	PART
cana-1284	26	4	increase	increase	VERB
cana-1284	26	5	the	the	DET
cana-1284	26	6	performance	performance	NOUN
cana-1284	26	7	prediction	prediction	NOUN
cana-1284	26	8	accuracy	accuracy	NOUN
cana-1284	26	9	above	above	ADP
cana-1284	26	10	accepted	accepted	ADJ
cana-1284	26	11	methods	method	NOUN
cana-1284	26	12	including	include	VERB
cana-1284	26	13	rf	rf	NOUN
cana-1284	26	14	,	,	PUNCT
cana-1284	26	15	mlp	mlp	NOUN
cana-1284	26	16	,	,	PUNCT
cana-1284	26	17	and	and	CCONJ
cana-1284	26	18	fim	fim	NOUN
cana-1284	26	19	.	.	PUNCT
cana-1284	27	1	the	the	DET
cana-1284	27	2	proposed	propose	VERB
cana-1284	27	3	approach	approach	NOUN
cana-1284	27	4	is	be	AUX
cana-1284	27	5	distinguished	distinguish	VERB
cana-1284	27	6	by	by	ADP
cana-1284	27	7	the	the	DET
cana-1284	27	8	new	new	ADJ
cana-1284	27	9	application	application	NOUN
cana-1284	27	10	of	of	ADP
cana-1284	27	11	deep	deep	ADJ
cana-1284	27	12	radial	radial	ADJ
cana-1284	27	13	basis	basis	NOUN
cana-1284	27	14	function	function	NOUN
cana-1284	27	15	(	(	PUNCT
cana-1284	27	16	rbf	rbf	PROPN
cana-1284	27	17	)	)	PUNCT
cana-1284	27	18	networks	network	NOUN
cana-1284	27	19	for	for	ADP
cana-1284	27	20	educational	educational	ADJ
cana-1284	27	21	performance	performance	NOUN
cana-1284	27	22	prediction	prediction	NOUN
cana-1284	27	23	.	.	PUNCT
cana-1284	28	1	combining	combine	VERB
cana-1284	28	2	the	the	DET
cana-1284	28	3	depth	depth	NOUN
cana-1284	28	4	of	of	ADP
cana-1284	28	5	deep	deep	ADJ
cana-1284	28	6	learning	learning	NOUN
cana-1284	28	7	architectures	architecture	NOUN
cana-1284	28	8	with	with	ADP
cana-1284	28	9	rbf	rbf	PROPN
cana-1284	28	10	network	network	NOUN
cana-1284	28	11	strengths	strength	NOUN
cana-1284	28	12	in	in	ADP
cana-1284	28	13	modeling	model	VERB
cana-1284	28	14	non	non	ADJ
cana-1284	28	15	-	-	ADJ
cana-1284	28	16	linearity	linearity	ADJ
cana-1284	28	17	produces	produce	VERB
cana-1284	28	18	a	a	DET
cana-1284	28	19	more	more	ADV
cana-1284	28	20	strong	strong	ADJ
cana-1284	28	21	and	and	CCONJ
cana-1284	28	22	flexible	flexible	ADJ
cana-1284	28	23	model	model	NOUN
cana-1284	28	24	via	via	ADP
cana-1284	28	25	this	this	DET
cana-1284	28	26	approach	approach	NOUN
cana-1284	28	27	.	.	PUNCT
cana-1284	29	1	the	the	DET
cana-1284	29	2	contributions	contribution	NOUN
cana-1284	29	3	involves	involve	VERB
cana-1284	29	4	:	:	PUNCT
cana-1284	30	1	1	1	X
cana-1284	30	2	.	.	X
cana-1284	30	3	a	a	DET
cana-1284	30	4	novel	novel	ADJ
cana-1284	30	5	deep	deep	ADJ
cana-1284	30	6	rbf	rbf	PROPN
cana-1284	30	7	network	network	NOUN
cana-1284	30	8	aimed	aim	VERB
cana-1284	30	9	especially	especially	ADV
cana-1284	30	10	to	to	PART
cana-1284	30	11	overcome	overcome	VERB
cana-1284	30	12	the	the	DET
cana-1284	30	13	limitations	limitation	NOUN
cana-1284	30	14	of	of	ADP
cana-1284	30	15	standard	standard	ADJ
cana-1284	30	16	techniques	technique	NOUN
cana-1284	30	17	in	in	ADP
cana-1284	30	18	student	student	NOUN
cana-1284	30	19	performance	performance	NOUN
cana-1284	30	20	prediction	prediction	NOUN
cana-1284	30	21	is	be	AUX
cana-1284	30	22	presented	present	VERB
cana-1284	30	23	in	in	ADP
cana-1284	30	24	this	this	DET
cana-1284	30	25	work	work	NOUN
cana-1284	30	26	.	.	PUNCT
cana-1284	31	1	this	this	DET
cana-1284	31	2	approach	approach	NOUN
cana-1284	31	3	uses	use	VERB
cana-1284	31	4	deep	deep	ADJ
cana-1284	31	5	learning	learning	NOUN
cana-1284	31	6	techniques	technique	NOUN
cana-1284	31	7	to	to	PART
cana-1284	31	8	increase	increase	VERB
cana-1284	31	9	prediction	prediction	NOUN
cana-1284	31	10	powers	power	NOUN
cana-1284	31	11	.	.	PUNCT
cana-1284	32	1	2	2	X
cana-1284	32	2	.	.	X
cana-1284	32	3	comparative	comparative	ADJ
cana-1284	32	4	analysis	analysis	NOUN
cana-1284	32	5	of	of	ADP
cana-1284	32	6	deep	deep	ADJ
cana-1284	32	7	rbf	rbf	PROPN
cana-1284	32	8	with	with	ADP
cana-1284	32	9	existing	exist	VERB
cana-1284	32	10	approaches	approach	NOUN
cana-1284	32	11	(	(	PUNCT
cana-1284	32	12	rf	rf	NOUN
cana-1284	32	13	,	,	PUNCT
cana-1284	32	14	mlp	mlp	NOUN
cana-1284	32	15	,	,	PUNCT
cana-1284	32	16	fim	fim	PROPN
cana-1284	32	17	)	)	PUNCT
cana-1284	32	18	shows	show	VERB
cana-1284	32	19	a	a	DET
cana-1284	32	20	clear	clear	ADJ
cana-1284	32	21	performance	performance	NOUN
cana-1284	32	22	in	in	ADP
cana-1284	32	23	terms	term	NOUN
cana-1284	32	24	of	of	ADP
cana-1284	32	25	accuracy	accuracy	NOUN
cana-1284	32	26	,	,	PUNCT
cana-1284	32	27	rmse	rmse	NOUN
cana-1284	32	28	,	,	PUNCT
cana-1284	32	29	and	and	CCONJ
cana-1284	32	30	mae	mae	PROPN
cana-1284	32	31	.	.	PROPN
cana-1284	32	32	3	3	NUM
cana-1284	32	33	.	.	X
cana-1284	32	34	through	through	ADP
cana-1284	32	35	effective	effective	ADJ
cana-1284	32	36	management	management	NOUN
cana-1284	32	37	of	of	ADP
cana-1284	32	38	high	high	ADJ
cana-1284	32	39	-	-	PUNCT
cana-1284	32	40	dimensional	dimensional	ADJ
cana-1284	32	41	data	datum	NOUN
cana-1284	32	42	,	,	PUNCT
cana-1284	32	43	the	the	DET
cana-1284	32	44	proposed	propose	VERB
cana-1284	32	45	method	method	NOUN
cana-1284	32	46	displays	display	VERB
cana-1284	32	47	performance	performance	NOUN
cana-1284	32	48	even	even	ADV
cana-1284	32	49	with	with	ADP
cana-1284	32	50	complex	complex	ADJ
cana-1284	32	51	and	and	CCONJ
cana-1284	32	52	large	large	ADJ
cana-1284	32	53	datasets	dataset	NOUN
cana-1284	32	54	.	.	PUNCT
cana-1284	33	1	2	2	X
cana-1284	33	2	.	.	X
cana-1284	33	3	related	relate	VERB
cana-1284	33	4	works	work	VERB
cana-1284	33	5	the	the	DET
cana-1284	33	6	study	study	NOUN
cana-1284	33	7	in	in	ADP
cana-1284	33	8	[	[	X
cana-1284	33	9	11	11	NUM
cana-1284	33	10	]	]	PUNCT
cana-1284	33	11	investigates	investigate	VERB
cana-1284	33	12	how	how	SCONJ
cana-1284	33	13	microsoft	microsoft	PROPN
cana-1284	33	14	excel	excel	VERB
cana-1284	33	15	and	and	CCONJ
cana-1284	33	16	mathematical	mathematical	ADJ
cana-1284	33	17	programming	programming	NOUN
cana-1284	33	18	could	could	AUX
cana-1284	33	19	be	be	AUX
cana-1284	33	20	applied	apply	VERB
cana-1284	33	21	in	in	ADP
cana-1284	33	22	an	an	DET
cana-1284	33	23	mba	mba	NOUN
cana-1284	33	24	curriculum	curriculum	NOUN
cana-1284	33	25	designed	design	VERB
cana-1284	33	26	for	for	ADP
cana-1284	33	27	nontechnical	nontechnical	ADJ
cana-1284	33	28	applicants	applicant	NOUN
cana-1284	33	29	.	.	PUNCT
cana-1284	34	1	combining	combine	VERB
cana-1284	34	2	prescriptive	prescriptive	ADJ
cana-1284	34	3	and	and	CCONJ
cana-1284	34	4	predictive	predictive	ADJ
cana-1284	34	5	analytics	analytic	NOUN
cana-1284	34	6	,	,	PUNCT
cana-1284	34	7	the	the	DET
cana-1284	34	8	course	course	NOUN
cana-1284	34	9	offers	offer	VERB
cana-1284	34	10	students	student	NOUN
cana-1284	34	11	useful	useful	ADJ
cana-1284	34	12	knowledge	knowledge	NOUN
cana-1284	34	13	in	in	ADP
cana-1284	34	14	data	datum	NOUN
cana-1284	34	15	management	management	NOUN
cana-1284	34	16	,	,	PUNCT
cana-1284	34	17	optimization	optimization	NOUN
cana-1284	34	18	,	,	PUNCT
cana-1284	34	19	and	and	CCONJ
cana-1284	34	20	machine	machine	NOUN
cana-1284	34	21	learning	learning	NOUN
cana-1284	34	22	models	model	NOUN
cana-1284	34	23	based	base	VERB
cana-1284	34	24	on	on	ADP
cana-1284	34	25	teaching	teach	VERB
cana-1284	34	26	reviews	review	NOUN
cana-1284	34	27	indicate	indicate	VERB
cana-1284	34	28	that	that	SCONJ
cana-1284	34	29	the	the	DET
cana-1284	34	30	course	course	NOUN
cana-1284	34	31	has	have	AUX
cana-1284	34	32	tremendously	tremendously	ADV
cana-1284	34	33	improved	improve	VERB
cana-1284	34	34	students	student	NOUN
cana-1284	34	35	's	's	PART
cana-1284	34	36	knowledge	knowledge	NOUN
cana-1284	34	37	of	of	ADP
cana-1284	34	38	microsoft	microsoft	PROPN
cana-1284	34	39	excel	excel	PROPN
cana-1284	34	40	and	and	CCONJ
cana-1284	34	41	respect	respect	NOUN
cana-1284	34	42	of	of	ADP
cana-1284	34	43	the	the	DET
cana-1284	34	44	practical	practical	ADJ
cana-1284	34	45	influence	influence	NOUN
cana-1284	34	46	of	of	ADP
cana-1284	34	47	data	datum	NOUN
cana-1284	34	48	analytics	analytic	NOUN
cana-1284	34	49	.	.	PUNCT
cana-1284	35	1	students	student	NOUN
cana-1284	35	2	who	who	PRON
cana-1284	35	3	first	first	ADV
cana-1284	35	4	saw	see	VERB
cana-1284	35	5	data	datum	NOUN
cana-1284	35	6	analytics	analytic	NOUN
cana-1284	35	7	as	as	ADP
cana-1284	35	8	a	a	DET
cana-1284	35	9	field	field	NOUN
cana-1284	35	10	appropriate	appropriate	ADJ
cana-1284	35	11	mostly	mostly	ADV
cana-1284	35	12	for	for	ADP
cana-1284	35	13	highly	highly	ADV
cana-1284	35	14	technical	technical	ADJ
cana-1284	35	15	expertise	expertise	NOUN
cana-1284	35	16	would	would	AUX
cana-1284	35	17	find	find	VERB
cana-1284	35	18	this	this	DET
cana-1284	35	19	experience	experience	NOUN
cana-1284	35	20	quite	quite	ADV
cana-1284	35	21	beneficial	beneficial	ADJ
cana-1284	35	22	.	.	PUNCT
cana-1284	36	1	the	the	DET
cana-1284	36	2	study	study	NOUN
cana-1284	36	3	underlines	underline	VERB
cana-1284	36	4	how	how	SCONJ
cana-1284	36	5	well	well	ADV
cana-1284	36	6	combining	combine	VERB
cana-1284	36	7	usable	usable	ADJ
cana-1284	36	8	technology	technology	NOUN
cana-1284	36	9	with	with	ADP
cana-1284	36	10	communications	communication	NOUN
cana-1284	36	11	on	on	ADP
cana-1284	36	12	applied	apply	VERB
cana-1284	36	13	nonlinear	nonlinear	ADJ
cana-1284	36	14	analysis	analysis	NOUN
cana-1284	36	15	issn	issn	NOUN
cana-1284	36	16	:	:	PUNCT
cana-1284	36	17	1074	1074	NUM
cana-1284	36	18	-	-	PUNCT
cana-1284	36	19	133x	133x	NUM
cana-1284	36	20	vol	vol	NOUN
cana-1284	36	21	31	31	NUM
cana-1284	36	22	no	no	NOUN
cana-1284	36	23	.	.	PUNCT
cana-1284	37	1	7s	7	NOUN
cana-1284	37	2	(	(	PUNCT
cana-1284	37	3	2024	2024	NUM
cana-1284	37	4	)	)	PUNCT
cana-1284	37	5	55	55	NUM
cana-1284	37	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1284	37	7	more	more	ADV
cana-1284	37	8	general	general	ADJ
cana-1284	37	9	business	business	NOUN
cana-1284	37	10	principles	principle	NOUN
cana-1284	37	11	will	will	AUX
cana-1284	37	12	enable	enable	VERB
cana-1284	37	13	analytics	analytic	NOUN
cana-1284	37	14	to	to	PART
cana-1284	37	15	be	be	AUX
cana-1284	37	16	more	more	ADV
cana-1284	37	17	relevant	relevant	ADJ
cana-1284	37	18	and	and	CCONJ
cana-1284	37	19	accessible	accessible	ADJ
cana-1284	37	20	to	to	ADP
cana-1284	37	21	nontechnical	nontechnical	ADJ
cana-1284	37	22	students	student	NOUN
cana-1284	37	23	,	,	PUNCT
cana-1284	37	24	therefore	therefore	ADV
cana-1284	37	25	extending	extend	VERB
cana-1284	37	26	their	their	PRON
cana-1284	37	27	skill	skill	NOUN
cana-1284	37	28	set	set	VERB
cana-1284	37	29	and	and	CCONJ
cana-1284	37	30	knowledge	knowledge	NOUN
cana-1284	37	31	of	of	ADP
cana-1284	37	32	data	data	NOUN
cana-1284	37	33	-	-	PUNCT
cana-1284	37	34	driven	drive	VERB
cana-1284	37	35	corporate	corporate	ADJ
cana-1284	37	36	decision	decision	NOUN
cana-1284	37	37	-	-	PUNCT
cana-1284	37	38	making	making	NOUN
cana-1284	37	39	in	in	ADP
cana-1284	37	40	business	business	NOUN
cana-1284	37	41	environments	environment	NOUN
cana-1284	37	42	.	.	PUNCT
cana-1284	38	1	in	in	ADP
cana-1284	38	2	the	the	DET
cana-1284	38	3	paper	paper	NOUN
cana-1284	38	4	[	[	X
cana-1284	38	5	12	12	NUM
cana-1284	38	6	]	]	X
cana-1284	38	7	looks	look	VERB
cana-1284	38	8	at	at	ADP
cana-1284	38	9	interesting	interesting	ADJ
cana-1284	38	10	indicators	indicator	NOUN
cana-1284	38	11	of	of	ADP
cana-1284	38	12	student	student	NOUN
cana-1284	38	13	performance	performance	NOUN
cana-1284	38	14	using	use	VERB
cana-1284	38	15	admissions	admission	NOUN
cana-1284	38	16	data	datum	NOUN
cana-1284	38	17	from	from	ADP
cana-1284	38	18	an	an	DET
cana-1284	38	19	online	online	ADJ
cana-1284	38	20	mba	mba	NOUN
cana-1284	38	21	program	program	NOUN
cana-1284	38	22	.	.	PUNCT
cana-1284	39	1	several	several	ADJ
cana-1284	39	2	models	model	NOUN
cana-1284	39	3	were	be	AUX
cana-1284	39	4	developed	develop	VERB
cana-1284	39	5	to	to	PART
cana-1284	39	6	predict	predict	VERB
cana-1284	39	7	events	event	NOUN
cana-1284	39	8	like	like	ADP
cana-1284	39	9	academic	academic	ADJ
cana-1284	39	10	performance	performance	NOUN
cana-1284	39	11	and	and	CCONJ
cana-1284	39	12	admission	admission	NOUN
cana-1284	39	13	decisions	decision	NOUN
cana-1284	39	14	.	.	PUNCT
cana-1284	40	1	according	accord	VERB
cana-1284	40	2	to	to	ADP
cana-1284	40	3	the	the	DET
cana-1284	40	4	study	study	NOUN
cana-1284	40	5	,	,	PUNCT
cana-1284	40	6	reduced	reduce	VERB
cana-1284	40	7	logistic	logistic	ADJ
cana-1284	40	8	regression	regression	NOUN
cana-1284	40	9	models	model	NOUN
cana-1284	40	10	are	be	AUX
cana-1284	40	11	most	most	ADV
cana-1284	40	12	successful	successful	ADJ
cana-1284	40	13	for	for	ADP
cana-1284	40	14	forecasting	forecast	VERB
cana-1284	40	15	admissions	admission	NOUN
cana-1284	40	16	decisions	decision	NOUN
cana-1284	40	17	even	even	ADV
cana-1284	40	18	if	if	SCONJ
cana-1284	40	19	discriminant	discriminant	ADJ
cana-1284	40	20	analysis	analysis	NOUN
cana-1284	40	21	is	be	AUX
cana-1284	40	22	more	more	ADV
cana-1284	40	23	suitable	suitable	ADJ
cana-1284	40	24	for	for	ADP
cana-1284	40	25	measuring	measure	VERB
cana-1284	40	26	academic	academic	ADJ
cana-1284	40	27	performance	performance	NOUN
cana-1284	40	28	.	.	PUNCT
cana-1284	41	1	the	the	DET
cana-1284	41	2	application	application	NOUN
cana-1284	41	3	of	of	ADP
cana-1284	41	4	different	different	ADJ
cana-1284	41	5	statistical	statistical	ADJ
cana-1284	41	6	and	and	CCONJ
cana-1284	41	7	machine	machine	NOUN
cana-1284	41	8	learning	learn	VERB
cana-1284	41	9	techniques	technique	NOUN
cana-1284	41	10	in	in	ADP
cana-1284	41	11	the	the	DET
cana-1284	41	12	analysis	analysis	NOUN
cana-1284	41	13	of	of	ADP
cana-1284	41	14	educational	educational	ADJ
cana-1284	41	15	data	datum	NOUN
cana-1284	41	16	is	be	AUX
cana-1284	41	17	underlined	underline	VERB
cana-1284	41	18	in	in	ADP
cana-1284	41	19	this	this	DET
cana-1284	41	20	work	work	NOUN
cana-1284	41	21	in	in	ADP
cana-1284	41	22	order	order	NOUN
cana-1284	41	23	to	to	PART
cana-1284	41	24	enhance	enhance	VERB
cana-1284	41	25	decisionmaking	decisionmake	VERB
cana-1284	41	26	processes	process	NOUN
cana-1284	41	27	involving	involve	VERB
cana-1284	41	28	student	student	NOUN
cana-1284	41	29	enrollment	enrollment	NOUN
cana-1284	41	30	and	and	CCONJ
cana-1284	41	31	performance	performance	NOUN
cana-1284	41	32	evaluation	evaluation	NOUN
cana-1284	41	33	.	.	PUNCT
cana-1284	42	1	through	through	ADP
cana-1284	42	2	better	well	ADJ
cana-1284	42	3	mentoring	mentoring	NOUN
cana-1284	42	4	and	and	CCONJ
cana-1284	42	5	outcome	outcome	NOUN
cana-1284	42	6	-	-	PUNCT
cana-1284	42	7	based	base	VERB
cana-1284	42	8	analysis	analysis	NOUN
cana-1284	42	9	,	,	PUNCT
cana-1284	42	10	the	the	DET
cana-1284	42	11	paper	paper	NOUN
cana-1284	42	12	by	by	ADP
cana-1284	42	13	[	[	X
cana-1284	42	14	13	13	NUM
cana-1284	42	15	]	]	PUNCT
cana-1284	42	16	tackles	tackle	NOUN
cana-1284	42	17	graduate	graduate	NOUN
cana-1284	42	18	outcomes	outcome	NOUN
cana-1284	42	19	and	and	CCONJ
cana-1284	42	20	redefining	redefine	VERB
cana-1284	42	21	of	of	ADP
cana-1284	42	22	mba	mba	PROPN
cana-1284	42	23	program	program	NOUN
cana-1284	42	24	excellence	excellence	NOUN
cana-1284	42	25	.	.	PUNCT
cana-1284	43	1	emphasizing	emphasize	VERB
cana-1284	43	2	experienced	experienced	ADJ
cana-1284	43	3	and	and	CCONJ
cana-1284	43	4	customized	customize	VERB
cana-1284	43	5	learning	learn	VERB
cana-1284	43	6	and	and	CCONJ
cana-1284	43	7	introducing	introduce	VERB
cana-1284	43	8	extra	extra	ADJ
cana-1284	43	9	responsibilities	responsibility	NOUN
cana-1284	43	10	for	for	ADP
cana-1284	43	11	mentors	mentor	NOUN
cana-1284	43	12	and	and	CCONJ
cana-1284	43	13	key	key	ADJ
cana-1284	43	14	performance	performance	NOUN
cana-1284	43	15	indicators	indicator	NOUN
cana-1284	43	16	(	(	PUNCT
cana-1284	43	17	kpis	kpis	PROPN
cana-1284	43	18	)	)	PUNCT
cana-1284	43	19	,	,	PUNCT
cana-1284	43	20	the	the	DET
cana-1284	43	21	study	study	NOUN
cana-1284	43	22	aims	aim	VERB
cana-1284	43	23	to	to	PART
cana-1284	43	24	raise	raise	VERB
cana-1284	43	25	the	the	DET
cana-1284	43	26	relevance	relevance	NOUN
cana-1284	43	27	and	and	CCONJ
cana-1284	43	28	efficiency	efficiency	NOUN
cana-1284	43	29	of	of	ADP
cana-1284	43	30	mba	mba	PROPN
cana-1284	43	31	education	education	NOUN
cana-1284	43	32	.	.	PUNCT
cana-1284	44	1	this	this	DET
cana-1284	44	2	approach	approach	NOUN
cana-1284	44	3	stresses	stress	VERB
cana-1284	44	4	on	on	ADP
cana-1284	44	5	producing	produce	VERB
cana-1284	44	6	innovative	innovative	ADJ
cana-1284	44	7	leaders	leader	NOUN
cana-1284	44	8	and	and	CCONJ
cana-1284	44	9	entrepreneurs	entrepreneur	NOUN
cana-1284	44	10	especially	especially	ADV
cana-1284	44	11	in	in	ADP
cana-1284	44	12	digital	digital	ADJ
cana-1284	44	13	and	and	CCONJ
cana-1284	44	14	global	global	ADJ
cana-1284	44	15	business	business	NOUN
cana-1284	44	16	environments	environment	NOUN
cana-1284	44	17	.	.	PUNCT
cana-1284	45	1	the	the	DET
cana-1284	45	2	study	study	NOUN
cana-1284	45	3	underlines	underline	VERB
cana-1284	45	4	the	the	DET
cana-1284	45	5	significance	significance	NOUN
cana-1284	45	6	of	of	ADP
cana-1284	45	7	connecting	connect	VERB
cana-1284	45	8	educational	educational	ADJ
cana-1284	45	9	programs	program	NOUN
cana-1284	45	10	with	with	ADP
cana-1284	45	11	industry	industry	NOUN
cana-1284	45	12	needs	need	VERB
cana-1284	45	13	as	as	ADV
cana-1284	45	14	well	well	ADV
cana-1284	45	15	as	as	ADP
cana-1284	45	16	the	the	DET
cana-1284	45	17	evolving	evolve	VERB
cana-1284	45	18	role	role	NOUN
cana-1284	45	19	of	of	ADP
cana-1284	45	20	mentors	mentor	NOUN
cana-1284	45	21	in	in	ADP
cana-1284	45	22	generating	generate	VERB
cana-1284	45	23	outstanding	outstanding	ADJ
cana-1284	45	24	corporate	corporate	ADJ
cana-1284	45	25	leaders	leader	NOUN
cana-1284	45	26	.	.	PUNCT
cana-1284	46	1	the	the	DET
cana-1284	46	2	emphasis	emphasis	NOUN
cana-1284	46	3	of	of	ADP
cana-1284	46	4	the	the	DET
cana-1284	46	5	study	study	NOUN
cana-1284	46	6	on	on	ADP
cana-1284	46	7	pragmatic	pragmatic	ADJ
cana-1284	46	8	knowledge	knowledge	NOUN
cana-1284	46	9	and	and	CCONJ
cana-1284	46	10	creative	creative	ADJ
cana-1284	46	11	ideas	idea	NOUN
cana-1284	46	12	suggests	suggest	VERB
cana-1284	46	13	a	a	DET
cana-1284	46	14	shift	shift	NOUN
cana-1284	46	15	toward	toward	ADP
cana-1284	46	16	a	a	DET
cana-1284	46	17	more	more	ADV
cana-1284	46	18	dynamic	dynamic	ADJ
cana-1284	46	19	and	and	CCONJ
cana-1284	46	20	strong	strong	ADJ
cana-1284	46	21	mba	mba	NOUN
cana-1284	46	22	degree	degree	NOUN
cana-1284	46	23	.	.	PUNCT
cana-1284	47	1	in	in	ADP
cana-1284	47	2	[	[	X
cana-1284	47	3	14	14	NUM
cana-1284	47	4	]	]	X
cana-1284	47	5	machine	machine	NOUN
cana-1284	47	6	learning	learning	NOUN
cana-1284	47	7	methods	method	NOUN
cana-1284	47	8	are	be	AUX
cana-1284	47	9	applied	apply	VERB
cana-1284	47	10	using	use	VERB
cana-1284	47	11	academic	academic	ADJ
cana-1284	47	12	performance	performance	NOUN
cana-1284	47	13	data	datum	NOUN
cana-1284	47	14	to	to	PART
cana-1284	47	15	project	project	VERB
cana-1284	47	16	college	college	NOUN
cana-1284	47	17	student	student	NOUN
cana-1284	47	18	placements	placement	NOUN
cana-1284	47	19	.	.	PUNCT
cana-1284	48	1	in	in	ADP
cana-1284	48	2	[	[	X
cana-1284	48	3	15	15	NUM
cana-1284	48	4	]	]	PUNCT
cana-1284	48	5	develops	develop	VERB
cana-1284	48	6	a	a	DET
cana-1284	48	7	system	system	NOUN
cana-1284	48	8	employing	employ	VERB
cana-1284	48	9	machine	machine	NOUN
cana-1284	48	10	learning	learn	VERB
cana-1284	48	11	to	to	PART
cana-1284	48	12	evaluate	evaluate	VERB
cana-1284	48	13	academic	academic	ADJ
cana-1284	48	14	programs	program	NOUN
cana-1284	48	15	and	and	CCONJ
cana-1284	48	16	learning	learn	VERB
cana-1284	48	17	results	result	NOUN
cana-1284	48	18	by	by	ADP
cana-1284	48	19	leveraging	leverage	VERB
cana-1284	48	20	competency	competency	NOUN
cana-1284	48	21	exam	exam	NOUN
cana-1284	48	22	data	datum	NOUN
cana-1284	48	23	.	.	PUNCT
cana-1284	49	1	using	use	VERB
cana-1284	49	2	machine	machine	NOUN
cana-1284	49	3	learning	learning	NOUN
cana-1284	49	4	algorithms	algorithm	NOUN
cana-1284	49	5	,	,	PUNCT
cana-1284	49	6	the	the	DET
cana-1284	49	7	system	system	NOUN
cana-1284	49	8	aims	aim	VERB
cana-1284	49	9	to	to	PART
cana-1284	49	10	identify	identify	VERB
cana-1284	49	11	projects	project	NOUN
cana-1284	49	12	and	and	CCONJ
cana-1284	49	13	outcomes	outcome	NOUN
cana-1284	49	14	that	that	PRON
cana-1284	49	15	demand	demand	VERB
cana-1284	49	16	development	development	NOUN
cana-1284	49	17	as	as	ADV
cana-1284	49	18	well	well	ADV
cana-1284	49	19	as	as	ADP
cana-1284	49	20	reduce	reduce	VERB
cana-1284	49	21	exam	exam	NOUN
cana-1284	49	22	costs	cost	NOUN
cana-1284	49	23	.	.	PUNCT
cana-1284	50	1	the	the	DET
cana-1284	50	2	work	work	NOUN
cana-1284	50	3	presented	present	VERB
cana-1284	50	4	in	in	ADP
cana-1284	50	5	[	[	X
cana-1284	50	6	16	16	NUM
cana-1284	50	7	]	]	PUNCT
cana-1284	50	8	proposes	propose	VERB
cana-1284	50	9	a	a	DET
cana-1284	50	10	fuzzy	fuzzy	ADJ
cana-1284	50	11	expert	expert	NOUN
cana-1284	50	12	system	system	NOUN
cana-1284	50	13	(	(	PUNCT
cana-1284	50	14	fes	fes	NOUN
cana-1284	50	15	)	)	PUNCT
cana-1284	50	16	to	to	PART
cana-1284	50	17	evaluate	evaluate	VERB
cana-1284	50	18	students	student	NOUN
cana-1284	50	19	'	'	PART
cana-1284	50	20	academic	academic	ADJ
cana-1284	50	21	and	and	CCONJ
cana-1284	50	22	non	non	ADJ
cana-1284	50	23	-	-	ADJ
cana-1284	50	24	academic	academic	ADJ
cana-1284	50	25	performances	performance	NOUN
cana-1284	50	26	as	as	ADV
cana-1284	50	27	well	well	ADV
cana-1284	50	28	as	as	ADP
cana-1284	50	29	their	their	PRON
cana-1284	50	30	impact	impact	NOUN
cana-1284	50	31	on	on	ADP
cana-1284	50	32	placement	placement	NOUN
cana-1284	50	33	results	result	NOUN
cana-1284	50	34	.	.	PUNCT
cana-1284	51	1	by	by	ADP
cana-1284	51	2	means	mean	NOUN
cana-1284	51	3	of	of	ADP
cana-1284	51	4	a	a	DET
cana-1284	51	5	rule	rule	NOUN
cana-1284	51	6	-	-	PUNCT
cana-1284	51	7	based	base	VERB
cana-1284	51	8	fuzzy	fuzzy	ADJ
cana-1284	51	9	inference	inference	NOUN
cana-1284	51	10	mechanism	mechanism	NOUN
cana-1284	51	11	(	(	PUNCT
cana-1284	51	12	fim	fim	NOUN
cana-1284	51	13	)	)	PUNCT
cana-1284	51	14	,	,	PUNCT
cana-1284	51	15	the	the	DET
cana-1284	51	16	work	work	NOUN
cana-1284	51	17	compares	compare	VERB
cana-1284	51	18	the	the	DET
cana-1284	51	19	fuzzy	fuzzy	ADJ
cana-1284	51	20	logic	logic	NOUN
cana-1284	51	21	approach	approach	NOUN
cana-1284	51	22	with	with	ADP
cana-1284	51	23	standard	standard	ADJ
cana-1284	51	24	statistical	statistical	ADJ
cana-1284	51	25	methods	method	NOUN
cana-1284	51	26	.	.	PUNCT
cana-1284	52	1	table	table	NOUN
cana-1284	52	2	1	1	NUM
cana-1284	52	3	:	:	PUNCT
cana-1284	52	4	comparative	comparative	ADJ
cana-1284	52	5	table	table	NOUN
cana-1284	52	6	method	method	NOUN
cana-1284	52	7	algorithm	algorithm	NOUN
cana-1284	52	8	methodology	methodology	NOUN
cana-1284	52	9	outcomes	outcome	VERB
cana-1284	52	10	communications	communication	NOUN
cana-1284	52	11	on	on	ADP
cana-1284	52	12	applied	apply	VERB
cana-1284	52	13	nonlinear	nonlinear	ADJ
cana-1284	52	14	analysis	analysis	NOUN
cana-1284	52	15	issn	issn	NOUN
cana-1284	52	16	:	:	PUNCT
cana-1284	52	17	1074	1074	NUM
cana-1284	52	18	-	-	PUNCT
cana-1284	52	19	133x	133x	NUM
cana-1284	52	20	vol	vol	NOUN
cana-1284	52	21	31	31	NUM
cana-1284	52	22	no	no	NOUN
cana-1284	52	23	.	.	PUNCT
cana-1284	53	1	7s	7	NOUN
cana-1284	53	2	(	(	PUNCT
cana-1284	53	3	2024	2024	NUM
cana-1284	53	4	)	)	PUNCT
cana-1284	53	5	56	56	NUM
cana-1284	53	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1284	54	1	[	[	X
cana-1284	54	2	11	11	NUM
cana-1284	54	3	]	]	PUNCT
cana-1284	54	4	microsoft	microsoft	PROPN
cana-1284	54	5	excel	excel	PROPN
cana-1284	54	6	&	&	CCONJ
cana-1284	54	7	mathematical	mathematical	ADJ
cana-1284	54	8	programming	programming	NOUN
cana-1284	54	9	practical	practical	ADJ
cana-1284	54	10	course	course	NOUN
cana-1284	54	11	integrating	integrate	VERB
cana-1284	54	12	prescriptive	prescriptive	NOUN
cana-1284	54	13	and	and	CCONJ
cana-1284	54	14	predictive	predictive	ADJ
cana-1284	54	15	analytics	analytic	NOUN
cana-1284	54	16	enhanced	enhance	VERB
cana-1284	54	17	proficiency	proficiency	NOUN
cana-1284	54	18	in	in	ADP
cana-1284	54	19	excel	excel	NOUN
cana-1284	54	20	,	,	PUNCT
cana-1284	54	21	better	well	ADJ
cana-1284	54	22	understanding	understanding	NOUN
cana-1284	54	23	of	of	ADP
cana-1284	54	24	data	datum	NOUN
cana-1284	54	25	analytics	analytic	NOUN
cana-1284	54	26	,	,	PUNCT
cana-1284	54	27	and	and	CCONJ
cana-1284	54	28	increased	increase	VERB
cana-1284	54	29	appreciation	appreciation	NOUN
cana-1284	54	30	among	among	ADP
cana-1284	54	31	non	non	ADJ
cana-1284	54	32	-	-	ADJ
cana-1284	54	33	technical	technical	ADJ
cana-1284	54	34	students	student	NOUN
cana-1284	55	1	[	[	X
cana-1284	55	2	12	12	NUM
cana-1284	55	3	]	]	X
cana-1284	55	4	lr	lr	PROPN
cana-1284	55	5	,	,	PUNCT
cana-1284	55	6	nn	nn	X
cana-1284	55	7	predictive	predictive	ADJ
cana-1284	55	8	modeling	modeling	NOUN
cana-1284	55	9	on	on	ADP
cana-1284	55	10	admissions	admission	NOUN
cana-1284	55	11	and	and	CCONJ
cana-1284	55	12	academic	academic	ADJ
cana-1284	55	13	performance	performance	NOUN
cana-1284	55	14	data	datum	NOUN
cana-1284	55	15	best	good	ADJ
cana-1284	55	16	models	model	NOUN
cana-1284	55	17	identified	identify	VERB
cana-1284	55	18	for	for	ADP
cana-1284	55	19	admissions	admission	NOUN
cana-1284	55	20	decisions	decision	NOUN
cana-1284	55	21	(	(	PUNCT
cana-1284	55	22	logistic	logistic	ADJ
cana-1284	55	23	regression	regression	NOUN
cana-1284	55	24	)	)	PUNCT
cana-1284	55	25	and	and	CCONJ
cana-1284	55	26	academic	academic	ADJ
cana-1284	55	27	standing	standing	NOUN
cana-1284	55	28	(	(	PUNCT
cana-1284	55	29	discriminant	discriminant	ADJ
cana-1284	55	30	analysis	analysis	NOUN
cana-1284	55	31	)	)	PUNCT
cana-1284	56	1	[	[	X
cana-1284	56	2	13	13	NUM
cana-1284	56	3	]	]	X
cana-1284	56	4	new	new	ADJ
cana-1284	56	5	mba	mba	NOUN
cana-1284	56	6	model	model	NOUN
cana-1284	56	7	redefinition	redefinition	NOUN
cana-1284	56	8	of	of	ADP
cana-1284	56	9	program	program	NOUN
cana-1284	56	10	quality	quality	NOUN
cana-1284	56	11	,	,	PUNCT
cana-1284	56	12	experiential	experiential	ADJ
cana-1284	56	13	learning	learning	NOUN
cana-1284	56	14	,	,	PUNCT
cana-1284	56	15	and	and	CCONJ
cana-1284	56	16	kpi	kpi	ADJ
cana-1284	56	17	analysis	analysis	NOUN
cana-1284	56	18	improved	improve	VERB
cana-1284	56	19	effectiveness	effectiveness	NOUN
cana-1284	56	20	of	of	ADP
cana-1284	56	21	mba	mba	NOUN
cana-1284	56	22	education	education	NOUN
cana-1284	56	23	and	and	CCONJ
cana-1284	56	24	better	well	ADJ
cana-1284	56	25	preparation	preparation	NOUN
cana-1284	56	26	of	of	ADP
cana-1284	56	27	innovative	innovative	ADJ
cana-1284	56	28	executives	executive	NOUN
cana-1284	56	29	and	and	CCONJ
cana-1284	56	30	entrepreneurs	entrepreneur	NOUN
cana-1284	56	31	[	[	X
cana-1284	56	32	14	14	NUM
cana-1284	56	33	]	]	X
cana-1284	56	34	lr	lr	NOUN
cana-1284	56	35	,	,	PUNCT
cana-1284	56	36	svm	svm	ADJ
cana-1284	56	37	comparative	comparative	ADJ
cana-1284	56	38	analysis	analysis	NOUN
cana-1284	56	39	of	of	ADP
cana-1284	56	40	ml	ml	ADP
cana-1284	56	41	algorithms	algorithm	NOUN
cana-1284	56	42	for	for	ADP
cana-1284	56	43	placement	placement	NOUN
cana-1284	56	44	prediction	prediction	NOUN
cana-1284	56	45	random	random	ADJ
cana-1284	56	46	forest	forest	NOUN
cana-1284	56	47	identified	identify	VERB
cana-1284	56	48	as	as	ADP
cana-1284	56	49	most	most	ADV
cana-1284	56	50	effective	effective	ADJ
cana-1284	56	51	for	for	ADP
cana-1284	56	52	forecasting	forecasting	NOUN
cana-1284	56	53	placements	placement	NOUN
cana-1284	56	54	[	[	X
cana-1284	56	55	15	15	NUM
cana-1284	56	56	]	]	X
cana-1284	56	57	machine	machine	NOUN
cana-1284	56	58	learning	learning	NOUN
cana-1284	56	59	(	(	PUNCT
cana-1284	56	60	ml	ml	NOUN
cana-1284	56	61	)	)	PUNCT
cana-1284	56	62	evaluation	evaluation	NOUN
cana-1284	56	63	of	of	ADP
cana-1284	56	64	academic	academic	ADJ
cana-1284	56	65	programs	program	NOUN
cana-1284	56	66	using	use	VERB
cana-1284	56	67	competency	competency	NOUN
cana-1284	56	68	exam	exam	NOUN
cana-1284	56	69	data	datum	NOUN
cana-1284	56	70	and	and	CCONJ
cana-1284	56	71	ml	ml	NOUN
cana-1284	56	72	models	model	NOUN
cana-1284	56	73	mlp	mlp	PROPN
cana-1284	56	74	model	model	NOUN
cana-1284	56	75	performed	perform	VERB
cana-1284	56	76	best	well	ADV
cana-1284	56	77	,	,	PUNCT
cana-1284	56	78	highlighting	highlight	VERB
cana-1284	56	79	the	the	DET
cana-1284	56	80	effectiveness	effectiveness	NOUN
cana-1284	56	81	of	of	ADP
cana-1284	56	82	ml	ml	NOUN
cana-1284	56	83	in	in	ADP
cana-1284	56	84	program	program	NOUN
cana-1284	56	85	evaluation	evaluation	NOUN
cana-1284	56	86	[	[	X
cana-1284	56	87	16	16	NUM
cana-1284	56	88	]	]	X
cana-1284	56	89	fuzzy	fuzzy	ADJ
cana-1284	56	90	expert	expert	NOUN
cana-1284	56	91	system	system	NOUN
cana-1284	56	92	(	(	PUNCT
cana-1284	56	93	fes	fes	NOUN
cana-1284	56	94	)	)	PUNCT
cana-1284	56	95	,	,	PUNCT
cana-1284	56	96	fuzzy	fuzzy	ADJ
cana-1284	56	97	inference	inference	NOUN
cana-1284	56	98	mechanism	mechanism	NOUN
cana-1284	56	99	(	(	PUNCT
cana-1284	56	100	fim	fim	NOUN
cana-1284	56	101	)	)	PUNCT
cana-1284	56	102	evaluation	evaluation	NOUN
cana-1284	56	103	of	of	ADP
cana-1284	56	104	student	student	NOUN
cana-1284	56	105	performance	performance	NOUN
cana-1284	56	106	using	use	VERB
cana-1284	56	107	fuzzy	fuzzy	ADJ
cana-1284	56	108	logic	logic	NOUN
cana-1284	56	109	fuzzy	fuzzy	ADJ
cana-1284	56	110	logic	logic	NOUN
cana-1284	56	111	showed	show	VERB
cana-1284	56	112	greater	great	ADJ
cana-1284	56	113	impact	impact	NOUN
cana-1284	56	114	of	of	ADP
cana-1284	56	115	non	non	ADJ
cana-1284	56	116	-	-	ADJ
cana-1284	56	117	academic	academic	ADJ
cana-1284	56	118	performance	performance	NOUN
cana-1284	56	119	on	on	ADP
cana-1284	56	120	placement	placement	NOUN
cana-1284	56	121	outcomes	outcome	NOUN
cana-1284	56	122	compared	compare	VERB
cana-1284	56	123	to	to	ADP
cana-1284	56	124	traditional	traditional	ADJ
cana-1284	56	125	methods	method	NOUN
cana-1284	56	126	3	3	NUM
cana-1284	56	127	.	.	PUNCT
cana-1284	56	128	proposed	propose	VERB
cana-1284	56	129	method	method	NOUN
cana-1284	56	130	this	this	DET
cana-1284	56	131	section	section	NOUN
cana-1284	56	132	measures	measure	VERB
cana-1284	56	133	the	the	DET
cana-1284	56	134	student	student	NOUN
cana-1284	56	135	performance	performance	NOUN
cana-1284	56	136	using	use	VERB
cana-1284	56	137	a	a	DET
cana-1284	56	138	nonlinear	nonlinear	ADJ
cana-1284	56	139	deep	deep	ADJ
cana-1284	56	140	rbf	rbf	PROPN
cana-1284	56	141	network	network	NOUN
cana-1284	56	142	.	.	PUNCT
cana-1284	57	1	like	like	INTJ
cana-1284	57	2	figure	figure	NOUN
cana-1284	57	3	1	1	NUM
cana-1284	57	4	,	,	PUNCT
cana-1284	57	5	the	the	DET
cana-1284	57	6	process	process	NOUN
cana-1284	57	7	consists	consist	VERB
cana-1284	57	8	in	in	ADP
cana-1284	57	9	numerous	numerous	ADJ
cana-1284	57	10	crucial	crucial	ADJ
cana-1284	57	11	phases	phase	NOUN
cana-1284	57	12	:	:	PUNCT
cana-1284	57	13	communications	communication	NOUN
cana-1284	57	14	on	on	ADP
cana-1284	57	15	applied	apply	VERB
cana-1284	57	16	nonlinear	nonlinear	ADJ
cana-1284	57	17	analysis	analysis	NOUN
cana-1284	57	18	issn	issn	NOUN
cana-1284	57	19	:	:	PUNCT
cana-1284	57	20	1074	1074	NUM
cana-1284	57	21	-	-	PUNCT
cana-1284	57	22	133x	133x	NUM
cana-1284	57	23	vol	vol	NOUN
cana-1284	57	24	31	31	NUM
cana-1284	57	25	no	no	NOUN
cana-1284	57	26	.	.	PUNCT
cana-1284	58	1	7s	7	NOUN
cana-1284	58	2	(	(	PUNCT
cana-1284	58	3	2024	2024	NUM
cana-1284	58	4	)	)	PUNCT
cana-1284	58	5	57	57	NUM
cana-1284	58	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1284	58	7	figure	figure	NOUN
cana-1284	58	8	1	1	NUM
cana-1284	58	9	:	:	PUNCT
cana-1284	58	10	workflow	workflow	NOUN
cana-1284	58	11	pseudocode	pseudocode	NOUN
cana-1284	58	12	:	:	PUNCT
cana-1284	58	13	#	#	NOUN
cana-1284	58	14	step	step	NOUN
cana-1284	58	15	1	1	NUM
cana-1284	58	16	:	:	PUNCT
cana-1284	58	17	data	datum	NOUN
cana-1284	58	18	collection	collection	NOUN
cana-1284	58	19	and	and	CCONJ
cana-1284	58	20	preprocessing	preprocesse	VERB
cana-1284	58	21	data	datum	NOUN
cana-1284	58	22	=	=	SYM
cana-1284	58	23	load_dataset("student_performance.csv	load_dataset("student_performance.csv	NOUN
cana-1284	58	24	"	"	PUNCT
cana-1284	58	25	)	)	PUNCT
cana-1284	58	26	data	datum	NOUN
cana-1284	58	27	=	=	SYM
cana-1284	58	28	preprocess(data	preprocess(data	PROPN
cana-1284	58	29	)	)	PUNCT
cana-1284	58	30	#	#	NOUN
cana-1284	58	31	step	step	NOUN
cana-1284	58	32	2	2	NUM
cana-1284	58	33	:	:	PUNCT
cana-1284	58	34	network	network	NOUN
cana-1284	58	35	architecture	architecture	NOUN
cana-1284	58	36	design	design	NOUN
cana-1284	58	37	network	network	NOUN
cana-1284	58	38	=	=	SYM
cana-1284	58	39	create_deep_rbf_network(input_dim	create_deep_rbf_network(input_dim	NOUN
cana-1284	58	40	,	,	PUNCT
cana-1284	58	41	hidden_layers	hidden_layer	NOUN
cana-1284	58	42	,	,	PUNCT
cana-1284	58	43	output_dim	output_dim	NUM
cana-1284	58	44	)	)	PUNCT
cana-1284	58	45	initialize_weights(network	initialize_weights(network	PROPN
cana-1284	58	46	)	)	PUNCT
cana-1284	58	47	#	#	NOUN
cana-1284	58	48	step	step	NOUN
cana-1284	58	49	3	3	NUM
cana-1284	58	50	:	:	PUNCT
cana-1284	58	51	training	train	VERB
cana-1284	58	52	the	the	DET
cana-1284	58	53	model	model	NOUN
cana-1284	58	54	for	for	ADP
cana-1284	58	55	epoch	epoch	NOUN
cana-1284	58	56	in	in	ADP
cana-1284	58	57	range(num_epochs	range(num_epoch	NOUN
cana-1284	58	58	):	):	PUNCT
cana-1284	58	59	predictions	prediction	NOUN
cana-1284	58	60	=	=	SYM
cana-1284	58	61	forward_pass(network	forward_pass(network	PROPN
cana-1284	58	62	,	,	PUNCT
cana-1284	58	63	data.inputs	data.input	NOUN
cana-1284	58	64	)	)	PUNCT
cana-1284	58	65	loss	loss	NOUN
cana-1284	58	66	=	=	SYM
cana-1284	58	67	calculate_loss(predictions	calculate_loss(prediction	NOUN
cana-1284	58	68	,	,	PUNCT
cana-1284	58	69	data.targets	data.target	NOUN
cana-1284	58	70	)	)	PUNCT
cana-1284	58	71	gradients	gradient	NOUN
cana-1284	58	72	=	=	SYM
cana-1284	58	73	compute_gradients(loss	compute_gradients(loss	PROPN
cana-1284	58	74	,	,	PUNCT
cana-1284	58	75	network	network	NOUN
cana-1284	58	76	)	)	PUNCT
cana-1284	58	77	network	network	NOUN
cana-1284	58	78	=	=	SYM
cana-1284	58	79	update_weights(network	update_weights(network	PROPN
cana-1284	58	80	,	,	PUNCT
cana-1284	58	81	gradients	gradient	NOUN
cana-1284	58	82	,	,	PUNCT
cana-1284	58	83	optimization_algorithm	optimization_algorithm	PROPN
cana-1284	58	84	)	)	PUNCT
cana-1284	58	85	#	#	NOUN
cana-1284	58	86	step	step	NOUN
cana-1284	58	87	4	4	NUM
cana-1284	58	88	:	:	PUNCT
cana-1284	58	89	validation	validation	NOUN
cana-1284	58	90	and	and	CCONJ
cana-1284	58	91	evaluation	evaluation	NOUN
cana-1284	58	92	validation_data	validation_data	NOUN
cana-1284	58	93	=	=	SYM
cana-1284	58	94	load_dataset("validation_data.csv	load_dataset("validation_data.csv	VERB
cana-1284	58	95	"	"	PUNCT
cana-1284	58	96	)	)	PUNCT
cana-1284	58	97	communications	communication	NOUN
cana-1284	58	98	on	on	ADP
cana-1284	58	99	applied	apply	VERB
cana-1284	58	100	nonlinear	nonlinear	ADJ
cana-1284	58	101	analysis	analysis	NOUN
cana-1284	58	102	issn	issn	NOUN
cana-1284	58	103	:	:	PUNCT
cana-1284	58	104	1074	1074	NUM
cana-1284	58	105	-	-	PUNCT
cana-1284	58	106	133x	133x	NUM
cana-1284	58	107	vol	vol	NOUN
cana-1284	58	108	31	31	NUM
cana-1284	58	109	no	no	NOUN
cana-1284	58	110	.	.	PUNCT
cana-1284	59	1	7s	7	NOUN
cana-1284	59	2	(	(	PUNCT
cana-1284	59	3	2024	2024	NUM
cana-1284	59	4	)	)	PUNCT
cana-1284	59	5	58	58	NUM
cana-1284	60	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1284	60	2	validation_predictions	validation_prediction	NOUN
cana-1284	60	3	=	=	SYM
cana-1284	60	4	forward_pass(network	forward_pass(network	NOUN
cana-1284	60	5	,	,	PUNCT
cana-1284	60	6	validation_data.inputs	validation_data.input	NOUN
cana-1284	60	7	)	)	PUNCT
cana-1284	60	8	accuracy	accuracy	NOUN
cana-1284	60	9	=	=	SYM
cana-1284	60	10	calculate_accuracy(validation_predictions	calculate_accuracy(validation_prediction	NOUN
cana-1284	60	11	,	,	PUNCT
cana-1284	60	12	validation_data.targets	validation_data.target	NOUN
cana-1284	60	13	)	)	PUNCT
cana-1284	60	14	rmse	rmse	NOUN
cana-1284	61	1	=	=	SYM
cana-1284	61	2	calculate_rmse(validation_predictions	calculate_rmse(validation_prediction	NOUN
cana-1284	61	3	,	,	PUNCT
cana-1284	61	4	validation_data.targets	validation_data.target	NOUN
cana-1284	61	5	)	)	PUNCT
cana-1284	61	6	mae	mae	PROPN
cana-1284	61	7	=	=	PROPN
cana-1284	61	8	calculate_mae(validation_predictions	calculate_mae(validation_prediction	NOUN
cana-1284	61	9	,	,	PUNCT
cana-1284	61	10	validation_data.targets	validation_data.target	NOUN
cana-1284	61	11	)	)	PUNCT
cana-1284	61	12	#	#	NOUN
cana-1284	61	13	step	step	NOUN
cana-1284	61	14	5	5	NUM
cana-1284	61	15	:	:	PUNCT
cana-1284	61	16	deployment	deployment	NOUN
cana-1284	61	17	deploy_model(network	deploy_model(network	PROPN
cana-1284	61	18	)	)	PUNCT
cana-1284	61	19	4	4	NUM
cana-1284	61	20	.	.	X
cana-1284	62	1	deep	deep	PROPN
cana-1284	62	2	rbf	rbf	PROPN
cana-1284	62	3	for	for	ADP
cana-1284	62	4	feature	feature	NOUN
cana-1284	62	5	extraction	extraction	NOUN
cana-1284	62	6	and	and	CCONJ
cana-1284	62	7	classification	classification	NOUN
cana-1284	62	8	the	the	DET
cana-1284	62	9	proposed	propose	VERB
cana-1284	62	10	method	method	NOUN
cana-1284	62	11	collects	collect	VERB
cana-1284	62	12	pertinent	pertinent	ADJ
cana-1284	62	13	characteristics	characteristic	NOUN
cana-1284	62	14	from	from	ADP
cana-1284	62	15	demanding	demand	VERB
cana-1284	62	16	input	input	NOUN
cana-1284	62	17	data	datum	NOUN
cana-1284	62	18	and	and	CCONJ
cana-1284	62	19	manages	manage	VERB
cana-1284	62	20	classification	classification	NOUN
cana-1284	62	21	issues	issue	NOUN
cana-1284	62	22	using	use	VERB
cana-1284	62	23	a	a	DET
cana-1284	62	24	deep	deep	ADJ
cana-1284	62	25	rbf	rbf	PROPN
cana-1284	62	26	network	network	NOUN
cana-1284	62	27	.	.	PUNCT
cana-1284	63	1	following	follow	VERB
cana-1284	63	2	feature	feature	NOUN
cana-1284	63	3	extraction	extraction	NOUN
cana-1284	63	4	passes	pass	VERB
cana-1284	63	5	the	the	DET
cana-1284	63	6	acquired	acquire	VERB
cana-1284	63	7	features	feature	NOUN
cana-1284	63	8	into	into	ADP
cana-1284	63	9	the	the	DET
cana-1284	63	10	classification	classification	NOUN
cana-1284	63	11	layer	layer	NOUN
cana-1284	63	12	of	of	ADP
cana-1284	63	13	the	the	DET
cana-1284	63	14	deep	deep	ADJ
cana-1284	63	15	rbf	rbf	PROPN
cana-1284	63	16	network	network	NOUN
cana-1284	63	17	.	.	PUNCT
cana-1284	64	1	usually	usually	ADV
cana-1284	64	2	including	include	VERB
cana-1284	64	3	fully	fully	ADV
cana-1284	64	4	connected	connected	ADJ
cana-1284	64	5	neurons	neuron	NOUN
cana-1284	64	6	applying	apply	VERB
cana-1284	64	7	a	a	DET
cana-1284	64	8	linear	linear	ADJ
cana-1284	64	9	transformation	transformation	NOUN
cana-1284	64	10	followed	follow	VERB
cana-1284	64	11	by	by	ADP
cana-1284	64	12	a	a	DET
cana-1284	64	13	softmax	softmax	NOUN
cana-1284	64	14	activation	activation	NOUN
cana-1284	64	15	function	function	NOUN
cana-1284	64	16	,	,	PUNCT
cana-1284	64	17	this	this	DET
cana-1284	64	18	layer	layer	NOUN
cana-1284	64	19	yields	yield	VERB
cana-1284	64	20	class	class	NOUN
cana-1284	64	21	probabilities	probability	NOUN
cana-1284	64	22	.	.	PUNCT
cana-1284	65	1	changing	change	VERB
cana-1284	65	2	the	the	DET
cana-1284	65	3	weights	weight	NOUN
cana-1284	65	4	and	and	CCONJ
cana-1284	65	5	centers	center	NOUN
cana-1284	65	6	of	of	ADP
cana-1284	65	7	the	the	DET
cana-1284	65	8	rbf	rbf	PROPN
cana-1284	65	9	neurons	neuron	NOUN
cana-1284	65	10	helps	help	VERB
cana-1284	65	11	the	the	DET
cana-1284	65	12	network	network	NOUN
cana-1284	65	13	to	to	PART
cana-1284	65	14	lower	lower	VERB
cana-1284	65	15	a	a	DET
cana-1284	65	16	loss	loss	NOUN
cana-1284	65	17	function	function	NOUN
cana-1284	65	18	,	,	PUNCT
cana-1284	65	19	such	such	ADJ
cana-1284	65	20	as	as	ADP
cana-1284	65	21	cross	cross	ADJ
cana-1284	65	22	-	-	ADJ
cana-1284	65	23	entropy	entropy	ADJ
cana-1284	65	24	loss	loss	NOUN
cana-1284	65	25	for	for	ADP
cana-1284	65	26	classification	classification	NOUN
cana-1284	65	27	tasks	task	NOUN
cana-1284	65	28	.	.	PUNCT
cana-1284	66	1	the	the	DET
cana-1284	66	2	training	training	NOUN
cana-1284	66	3	is	be	AUX
cana-1284	66	4	done	do	VERB
cana-1284	66	5	using	use	VERB
cana-1284	66	6	optimization	optimization	NOUN
cana-1284	66	7	methods	method	NOUN
cana-1284	66	8	such	such	ADJ
cana-1284	66	9	gradient	gradient	ADJ
cana-1284	66	10	descent	descent	NOUN
cana-1284	66	11	or	or	CCONJ
cana-1284	66	12	hybrid	hybrid	NOUN
cana-1284	66	13	approaches	approach	NOUN
cana-1284	66	14	—	—	PUNCT
cana-1284	66	15	which	which	PRON
cana-1284	66	16	regularly	regularly	ADV
cana-1284	66	17	alter	alter	VERB
cana-1284	66	18	the	the	DET
cana-1284	66	19	model	model	NOUN
cana-1284	66	20	parameters	parameter	NOUN
cana-1284	66	21	to	to	PART
cana-1284	66	22	increase	increase	VERB
cana-1284	66	23	classification	classification	NOUN
cana-1284	66	24	accuracy	accuracy	NOUN
cana-1284	66	25	.	.	PUNCT
cana-1284	67	1	in	in	ADP
cana-1284	67	2	the	the	DET
cana-1284	67	3	hidden	hidden	ADJ
cana-1284	67	4	layers	layer	NOUN
cana-1284	67	5	as	as	ADV
cana-1284	67	6	well	well	ADV
cana-1284	67	7	as	as	ADP
cana-1284	67	8	the	the	DET
cana-1284	67	9	weights	weight	NOUN
cana-1284	67	10	in	in	ADP
cana-1284	67	11	the	the	DET
cana-1284	67	12	last	last	ADJ
cana-1284	67	13	classification	classification	NOUN
cana-1284	67	14	layer	layer	NOUN
cana-1284	67	15	,	,	PUNCT
cana-1284	67	16	the	the	DET
cana-1284	67	17	deep	deep	ADJ
cana-1284	67	18	rbf	rbf	PROPN
cana-1284	67	19	network	network	NOUN
cana-1284	67	20	learns	learn	VERB
cana-1284	67	21	in	in	ADP
cana-1284	67	22	training	training	NOUN
cana-1284	67	23	to	to	PART
cana-1284	67	24	modify	modify	VERB
cana-1284	67	25	the	the	DET
cana-1284	67	26	centers	center	NOUN
cana-1284	67	27	and	and	CCONJ
cana-1284	67	28	widths	width	NOUN
cana-1284	67	29	of	of	ADP
cana-1284	67	30	the	the	DET
cana-1284	67	31	radial	radial	ADJ
cana-1284	67	32	basis	basis	NOUN
cana-1284	67	33	functions	function	NOUN
cana-1284	67	34	.	.	PUNCT
cana-1284	68	1	driving	drive	VERB
cana-1284	68	2	this	this	DET
cana-1284	68	3	process	process	NOUN
cana-1284	68	4	the	the	DET
cana-1284	68	5	backpropagation	backpropagation	NOUN
cana-1284	68	6	algorithm	algorithm	NOUN
cana-1284	68	7	computes	compute	VERB
cana-1284	68	8	gradients	gradient	NOUN
cana-1284	68	9	of	of	ADP
cana-1284	68	10	the	the	DET
cana-1284	68	11	loss	loss	NOUN
cana-1284	68	12	function	function	NOUN
cana-1284	68	13	w.r.t	w.r.t	VERB
cana-1284	68	14	the	the	DET
cana-1284	68	15	model	model	NOUN
cana-1284	68	16	parameters	parameter	NOUN
cana-1284	68	17	.	.	PUNCT
cana-1284	69	1	changing	change	VERB
cana-1284	69	2	the	the	DET
cana-1284	69	3	parameters	parameter	NOUN
cana-1284	69	4	depending	depend	VERB
cana-1284	69	5	on	on	ADP
cana-1284	69	6	these	these	DET
cana-1284	69	7	gradients	gradient	NOUN
cana-1284	69	8	helps	help	VERB
cana-1284	69	9	to	to	PART
cana-1284	69	10	reduce	reduce	VERB
cana-1284	69	11	the	the	DET
cana-1284	69	12	loss	loss	NOUN
cana-1284	69	13	using	use	VERB
cana-1284	69	14	optimization	optimization	NOUN
cana-1284	69	15	methods	method	NOUN
cana-1284	69	16	.	.	PUNCT
cana-1284	70	1	by	by	ADP
cana-1284	70	2	means	mean	NOUN
cana-1284	70	3	of	of	ADP
cana-1284	70	4	regularization	regularization	NOUN
cana-1284	70	5	and	and	CCONJ
cana-1284	70	6	other	other	ADJ
cana-1284	70	7	techniques	technique	NOUN
cana-1284	70	8	,	,	PUNCT
cana-1284	70	9	one	one	PRON
cana-1284	70	10	may	may	AUX
cana-1284	70	11	prevent	prevent	VERB
cana-1284	70	12	overfitting	overfitting	NOUN
cana-1284	70	13	and	and	CCONJ
cana-1284	70	14	ensure	ensure	VERB
cana-1284	70	15	that	that	SCONJ
cana-1284	70	16	the	the	DET
cana-1284	70	17	model	model	NOUN
cana-1284	70	18	will	will	AUX
cana-1284	70	19	generalize	generalize	VERB
cana-1284	70	20	efficiently	efficiently	ADV
cana-1284	70	21	to	to	ADP
cana-1284	70	22	new	new	ADJ
cana-1284	70	23	data	datum	NOUN
cana-1284	70	24	.	.	PUNCT
cana-1284	71	1	radial	radial	ADJ
cana-1284	71	2	basis	basis	NOUN
cana-1284	71	3	function	function	NOUN
cana-1284	71	4	activation	activation	NOUN
cana-1284	71	5	is	be	AUX
cana-1284	71	6	defined	define	VERB
cana-1284	71	7	as	as	ADP
cana-1284	71	8	below	below	ADV
cana-1284	71	9	:	:	PUNCT
cana-1284	71	10	2	2	NUM
cana-1284	71	11	2	2	NUM
cana-1284	71	12	(	(	PUNCT
cana-1284	71	13	)	)	PUNCT
cana-1284	71	14	exp	exp	NOUN
cana-1284	71	15	2	2	NUM
cana-1284	72	1	j	j	PROPN
cana-1284	72	2	j	j	PROPN
cana-1284	72	3	j	j	PROPN
cana-1284	72	4			PROPN
cana-1284	72	5			PROPN
cana-1284	72	6			NOUN
cana-1284	72	7	−	−	NOUN
cana-1284	72	8	=	=	SYM
cana-1284	73	1	−	−	PROPN
cana-1284	73	2			PROPN
cana-1284	74	1			PROPN
cana-1284	74	2			PROPN
cana-1284	75	1			PROPN
cana-1284	75	2			NOUN
cana-1284	75	3	x	x	SYM
cana-1284	75	4	c	c	NOUN
cana-1284	75	5	x	x	X
cana-1284	75	6	‖	‖	PROPN
cana-1284	75	7	‖	‖	PROPN
cana-1284	75	8	where	where	SCONJ
cana-1284	75	9	(	(	PUNCT
cana-1284	75	10	)	)	PUNCT
cana-1284	75	11	j	j	NOUN
cana-1284	75	12	x	x	SYM
cana-1284	75	13	activation	activation	NOUN
cana-1284	75	14	of	of	ADP
cana-1284	75	15	the	the	DET
cana-1284	75	16	jth	jth	PROPN
cana-1284	75	17	rbf	rbf	PROPN
cana-1284	75	18	neuron	neuron	PROPN
cana-1284	75	19	for	for	ADP
cana-1284	75	20	input	input	NOUN
cana-1284	75	21	x	x	SYM
cana-1284	75	22	,	,	PUNCT
cana-1284	75	23	cj	cj	NOUN
cana-1284	75	24	center	center	NOUN
cana-1284	75	25	of	of	ADP
cana-1284	75	26	the	the	DET
cana-1284	75	27	jth	jth	PROPN
cana-1284	75	28	rbf	rbf	PROPN
cana-1284	75	29	neuron	neuron	PROPN
cana-1284	75	30	,	,	PUNCT
cana-1284	75	31	and	and	CCONJ
cana-1284	75	32	communications	communication	NOUN
cana-1284	75	33	on	on	ADP
cana-1284	75	34	applied	apply	VERB
cana-1284	75	35	nonlinear	nonlinear	ADJ
cana-1284	75	36	analysis	analysis	NOUN
cana-1284	75	37	issn	issn	NOUN
cana-1284	75	38	:	:	PUNCT
cana-1284	75	39	1074	1074	NUM
cana-1284	75	40	-	-	PUNCT
cana-1284	75	41	133x	133x	NUM
cana-1284	75	42	vol	vol	NOUN
cana-1284	75	43	31	31	NUM
cana-1284	75	44	no	no	NOUN
cana-1284	75	45	.	.	PUNCT
cana-1284	76	1	7s	7	NOUN
cana-1284	76	2	(	(	PUNCT
cana-1284	76	3	2024	2024	NUM
cana-1284	76	4	)	)	PUNCT
cana-1284	76	5	59	59	NUM
cana-1284	76	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1284	76	7	j	j	NOUN
cana-1284	76	8	width	width	NOUN
cana-1284	76	9	of	of	ADP
cana-1284	76	10	the	the	DET
cana-1284	76	11	rbf	rbf	PROPN
cana-1284	76	12	neuron	neuron	PROPN
cana-1284	76	13	.	.	PUNCT
cana-1284	77	1	weighted	weight	VERB
cana-1284	77	2	sum	sum	NOUN
cana-1284	77	3	of	of	ADP
cana-1284	77	4	rbf	rbf	PROPN
cana-1284	77	5	activations	activation	NOUN
cana-1284	77	6	(	(	PUNCT
cana-1284	77	7	hidden	hide	VERB
cana-1284	77	8	layer	layer	NOUN
cana-1284	77	9	output	output	NOUN
cana-1284	77	10	)	)	PUNCT
cana-1284	77	11	is	be	AUX
cana-1284	77	12	defined	define	VERB
cana-1284	77	13	as	as	ADP
cana-1284	77	14	below	below	ADV
cana-1284	77	15	:	:	PUNCT
cana-1284	77	16	1	1	NUM
cana-1284	77	17	2	2	NUM
cana-1284	77	18	(	(	PUNCT
cana-1284	77	19	)	)	PUNCT
cana-1284	77	20	(	(	PUNCT
cana-1284	77	21	)	)	PUNCT
cana-1284	77	22	(	(	PUNCT
cana-1284	77	23	)	)	PUNCT
cana-1284	77	24	m	m	VERB
cana-1284	77	25			NOUN
cana-1284	77	26			NOUN
cana-1284	77	27			NOUN
cana-1284	77	28			PROPN
cana-1284	77	29			ADJ
cana-1284	77	30			NOUN
cana-1284	77	31			PROPN
cana-1284	77	32			NOUN
cana-1284	77	33	=	=	X
cana-1284	77	34			NOUN
cana-1284	77	35			NOUN
cana-1284	77	36			NOUN
cana-1284	77	37			NOUN
cana-1284	77	38			VERB
cana-1284	77	39			PROPN
cana-1284	77	40	x	x	SYM
cana-1284	78	1	x	x	PUNCT
cana-1284	78	2	h	h	NOUN
cana-1284	78	3	x	x	INTJ
cana-1284	78	4	where	where	SCONJ
cana-1284	78	5	h	h	NOUN
cana-1284	78	6	vector	vector	NOUN
cana-1284	78	7	of	of	ADP
cana-1284	78	8	activations	activation	NOUN
cana-1284	78	9	from	from	ADP
cana-1284	78	10	the	the	DET
cana-1284	78	11	m	m	PROPN
cana-1284	78	12	rbf	rbf	PROPN
cana-1284	78	13	neurons	neuron	NOUN
cana-1284	78	14	in	in	ADP
cana-1284	78	15	the	the	DET
cana-1284	78	16	hidden	hide	VERB
cana-1284	78	17	layer	layer	NOUN
cana-1284	78	18	.	.	PUNCT
cana-1284	79	1	linear	linear	ADJ
cana-1284	79	2	combination	combination	NOUN
cana-1284	79	3	of	of	ADP
cana-1284	79	4	hidden	hide	VERB
cana-1284	79	5	layer	layer	NOUN
cana-1284	79	6	outputs	output	NOUN
cana-1284	79	7	(	(	PUNCT
cana-1284	79	8	before	before	ADP
cana-1284	79	9	classification	classification	NOUN
cana-1284	79	10	)	)	PUNCT
cana-1284	79	11	is	be	AUX
cana-1284	79	12	defined	define	VERB
cana-1284	79	13	as	as	ADP
cana-1284	79	14	below	below	ADV
cana-1284	79	15	:	:	PUNCT
cana-1284	80	1	=	=	PUNCT
cana-1284	80	2	+	+	NOUN
cana-1284	80	3	z	z	PROPN
cana-1284	80	4	w	w	PROPN
cana-1284	80	5	h	h	PROPN
cana-1284	80	6	b	b	NOUN
cana-1284	80	7	•	•	NOUN
cana-1284	80	8	where	where	SCONJ
cana-1284	80	9	w	w	NOUN
cana-1284	80	10	weight	weight	NOUN
cana-1284	80	11	matrix	matrix	NOUN
cana-1284	80	12	connecting	connect	VERB
cana-1284	80	13	the	the	DET
cana-1284	80	14	hidden	hidden	ADJ
cana-1284	80	15	layer	layer	NOUN
cana-1284	80	16	to	to	ADP
cana-1284	80	17	the	the	DET
cana-1284	80	18	output	output	NOUN
cana-1284	80	19	layer	layer	NOUN
cana-1284	80	20	,	,	PUNCT
cana-1284	80	21	b	b	X
cana-1284	80	22	bias	bias	NOUN
cana-1284	80	23	vector	vector	NOUN
cana-1284	80	24	,	,	PUNCT
cana-1284	80	25	and	and	CCONJ
cana-1284	80	26	z	z	NOUN
cana-1284	80	27	vector	vector	NOUN
cana-1284	80	28	of	of	ADP
cana-1284	80	29	pre	pre	ADJ
cana-1284	80	30	-	-	ADJ
cana-1284	80	31	activation	activation	ADJ
cana-1284	80	32	values	value	NOUN
cana-1284	80	33	for	for	ADP
cana-1284	80	34	the	the	DET
cana-1284	80	35	output	output	NOUN
cana-1284	80	36	layer	layer	NOUN
cana-1284	80	37	.	.	PUNCT
cana-1284	81	1	softmax	softmax	NOUN
cana-1284	81	2	activation	activation	NOUN
cana-1284	81	3	function	function	NOUN
cana-1284	81	4	(	(	PUNCT
cana-1284	81	5	output	output	NOUN
cana-1284	81	6	layer	layer	NOUN
cana-1284	81	7	)	)	PUNCT
cana-1284	81	8	is	be	AUX
cana-1284	81	9	defined	define	VERB
cana-1284	81	10	as	as	ADP
cana-1284	81	11	below	below	ADV
cana-1284	81	12	:	:	PUNCT
cana-1284	81	13	1	1	NUM
cana-1284	81	14	exp	exp	NOUN
cana-1284	81	15	(	(	PUNCT
cana-1284	81	16	)	)	PUNCT
cana-1284	81	17	(	(	PUNCT
cana-1284	81	18	)	)	PUNCT
cana-1284	81	19	exp	exp	NOUN
cana-1284	81	20	(	(	PUNCT
cana-1284	81	21	)	)	PUNCT
cana-1284	81	22	k	k	PROPN
cana-1284	82	1	k	k	PROPN
cana-1284	83	1	i	i	PRON
cana-1284	84	1	i	i	PRON
cana-1284	84	2	z	z	VERB
cana-1284	85	1	p	p	X
cana-1284	85	2	y	y	PROPN
cana-1284	85	3	k	k	NOUN
cana-1284	85	4	z	z	NOUN
cana-1284	85	5	=	=	PUNCT
cana-1284	86	1	=	=	PUNCT
cana-1284	86	2	=	=	NOUN
cana-1284	86	3			X
cana-1284	86	4	x∣	x∣	VERB
cana-1284	87	1	where	where	SCONJ
cana-1284	87	2	(	(	PUNCT
cana-1284	87	3	)	)	PUNCT
cana-1284	87	4	p	p	PROPN
cana-1284	87	5	y	y	PROPN
cana-1284	87	6	k=	k=	INTJ
cana-1284	87	7	x∣	x∣	PROPN
cana-1284	87	8	probability	probability	NOUN
cana-1284	87	9	of	of	ADP
cana-1284	87	10	class	class	NOUN
cana-1284	87	11	k	k	PROPN
cana-1284	87	12	given	give	VERB
cana-1284	87	13	input	input	NOUN
cana-1284	87	14	x	x	X
cana-1284	87	15	,	,	PUNCT
cana-1284	87	16	kz	kz	PROPN
cana-1284	87	17	kth	kth	PROPN
cana-1284	87	18	element	element	NOUN
cana-1284	87	19	of	of	ADP
cana-1284	87	20	z	z	NOUN
cana-1284	87	21	,	,	PUNCT
cana-1284	87	22	and	and	CCONJ
cana-1284	87	23	k	k	X
cana-1284	87	24	number	number	NOUN
cana-1284	87	25	of	of	ADP
cana-1284	87	26	classes	class	NOUN
cana-1284	87	27	.	.	PUNCT
cana-1284	88	1	cross	cross	ADJ
cana-1284	88	2	-	-	ADJ
cana-1284	88	3	entropy	entropy	ADJ
cana-1284	88	4	loss	loss	NOUN
cana-1284	88	5	function	function	NOUN
cana-1284	88	6	is	be	AUX
cana-1284	88	7	defined	define	VERB
cana-1284	88	8	as	as	ADP
cana-1284	88	9	below	below	ADV
cana-1284	88	10	:	:	PUNCT
cana-1284	88	11	{	{	PUNCT
cana-1284	88	12	}	}	SYM
cana-1284	88	13	1	1	NUM
cana-1284	88	14	log	log	NOUN
cana-1284	88	15	(	(	PUNCT
cana-1284	88	16	(	(	PUNCT
cana-1284	88	17	)	)	PUNCT
cana-1284	88	18	)	)	PUNCT
cana-1284	89	1	k	k	NOUN
cana-1284	90	1	y	y	PROPN
cana-1284	90	2	k	k	PROPN
cana-1284	91	1	k	k	PROPN
cana-1284	91	2	p	p	X
cana-1284	91	3	y	y	PROPN
cana-1284	91	4	k=	k=	PUNCT
cana-1284	92	1	=	=	PUNCT
cana-1284	93	1	=	=	PUNCT
cana-1284	94	1	−	−	PROPN
cana-1284	95	1	=	=	NUM
cana-1284	95	2	1	1	NOUN
cana-1284	95	3	xl	xl	PROPN
cana-1284	95	4	∣	∣	PROPN
cana-1284	95	5	where	where	SCONJ
cana-1284	95	6	l	l	NOUN
cana-1284	95	7	cross	cross	ADJ
cana-1284	95	8	-	-	ADJ
cana-1284	95	9	entropy	entropy	ADJ
cana-1284	95	10	loss	loss	NOUN
cana-1284	95	11	,	,	PUNCT
cana-1284	95	12	communications	communication	NOUN
cana-1284	95	13	on	on	ADP
cana-1284	95	14	applied	apply	VERB
cana-1284	95	15	nonlinear	nonlinear	ADJ
cana-1284	95	16	analysis	analysis	NOUN
cana-1284	95	17	issn	issn	NOUN
cana-1284	95	18	:	:	PUNCT
cana-1284	95	19	1074	1074	NUM
cana-1284	95	20	-	-	PUNCT
cana-1284	95	21	133x	133x	NUM
cana-1284	95	22	vol	vol	NOUN
cana-1284	95	23	31	31	NUM
cana-1284	95	24	no	no	NOUN
cana-1284	95	25	.	.	PUNCT
cana-1284	96	1	7s	7	NOUN
cana-1284	96	2	(	(	PUNCT
cana-1284	96	3	2024	2024	NUM
cana-1284	96	4	)	)	PUNCT
cana-1284	96	5	60	60	NUM
cana-1284	96	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1284	96	7	{	{	PUNCT
cana-1284	96	8	}	}	PUNCT
cana-1284	96	9	y	y	PROPN
cana-1284	96	10	k=1	k=1	PUNCT
cana-1284	96	11	indicator	indicator	PROPN
cana-1284	96	12	function	function	NOUN
cana-1284	96	13	that	that	PRON
cana-1284	96	14	is	be	AUX
cana-1284	96	15	1	1	NUM
cana-1284	96	16	if	if	SCONJ
cana-1284	96	17	the	the	DET
cana-1284	96	18	true	true	ADJ
cana-1284	96	19	label	label	NOUN
cana-1284	96	20	y	y	PROPN
cana-1284	96	21	is	be	AUX
cana-1284	96	22	k	k	PROPN
cana-1284	96	23	and	and	CCONJ
cana-1284	96	24	0	0	NUM
cana-1284	96	25	otherwise	otherwise	ADV
cana-1284	96	26	,	,	PUNCT
cana-1284	96	27	and	and	CCONJ
cana-1284	96	28	(	(	PUNCT
cana-1284	96	29	)	)	PUNCT
cana-1284	96	30	p	p	NOUN
cana-1284	96	31	y	y	PROPN
cana-1284	96	32	k=	k=	PROPN
cana-1284	96	33	x∣	x∣	PROPN
cana-1284	96	34	predicted	predict	VERB
cana-1284	96	35	probability	probability	NOUN
cana-1284	96	36	for	for	ADP
cana-1284	96	37	class	class	NOUN
cana-1284	96	38	k.	k.	PROPN
cana-1284	96	39	gradient	gradient	NOUN
cana-1284	96	40	of	of	ADP
cana-1284	96	41	cross	cross	ADJ
cana-1284	96	42	-	-	ADJ
cana-1284	96	43	entropy	entropy	ADJ
cana-1284	96	44	loss	loss	NOUN
cana-1284	96	45	w.r.t	w.r.t	NOUN
cana-1284	96	46	output	output	NOUN
cana-1284	96	47	layer	layer	NOUN
cana-1284	96	48	activation	activation	NOUN
cana-1284	96	49	is	be	AUX
cana-1284	96	50	defined	define	VERB
cana-1284	96	51	as	as	ADP
cana-1284	96	52	below	below	ADV
cana-1284	96	53	:	:	PUNCT
cana-1284	96	54	{	{	PUNCT
cana-1284	96	55	}	}	PUNCT
cana-1284	96	56	(	(	PUNCT
cana-1284	96	57	)	)	PUNCT
cana-1284	97	1	y	y	PROPN
cana-1284	97	2	k	k	PROPN
cana-1284	98	1	k	k	PROPN
cana-1284	98	2	p	p	X
cana-1284	98	3	y	y	PROPN
cana-1284	98	4	k	k	PROPN
cana-1284	98	5	z	z	NOUN
cana-1284	98	6	=	=	SYM
cana-1284	98	7			ADJ
cana-1284	98	8	=	=	PUNCT
cana-1284	98	9	=	=	SYM
cana-1284	99	1	−	−	PROPN
cana-1284	99	2			ADJ
cana-1284	99	3	x	x	SYM
cana-1284	99	4	1	1	NUM
cana-1284	99	5	l	l	NOUN
cana-1284	99	6	∣	∣	NOUN
cana-1284	99	7	where	where	SCONJ
cana-1284	99	8	kz	kz	PROPN
cana-1284	99	9			PROPN
cana-1284	99	10			PROPN
cana-1284	99	11	l	l	NOUN
cana-1284	99	12	gradient	gradient	NOUN
cana-1284	99	13	of	of	ADP
cana-1284	99	14	the	the	DET
cana-1284	99	15	loss	loss	NOUN
cana-1284	99	16	function	function	NOUN
cana-1284	99	17	w.r.t	w.r.t	VERB
cana-1284	99	18	the	the	DET
cana-1284	99	19	kth	kth	PROPN
cana-1284	99	20	output	output	NOUN
cana-1284	99	21	layer	layer	NOUN
cana-1284	99	22	activation	activation	NOUN
cana-1284	99	23	zk	zk	PROPN
cana-1284	99	24	.	.	PROPN
cana-1284	99	25	gradient	gradient	NOUN
cana-1284	99	26	of	of	ADP
cana-1284	99	27	cross	cross	ADJ
cana-1284	99	28	-	-	ADJ
cana-1284	99	29	entropy	entropy	ADJ
cana-1284	99	30	loss	loss	NOUN
cana-1284	99	31	w.r.t	w.r.t	NOUN
cana-1284	99	32	rbf	rbf	PROPN
cana-1284	99	33	weights	weight	NOUN
cana-1284	99	34	is	be	AUX
cana-1284	99	35	defined	define	VERB
cana-1284	99	36	as	as	ADP
cana-1284	99	37	below	below	ADV
cana-1284	99	38	:	:	PUNCT
cana-1284	99	39	(	(	PUNCT
cana-1284	99	40	)	)	PUNCT
cana-1284	99	41	{	{	PUNCT
cana-1284	99	42	}	}	PUNCT
cana-1284	99	43	(	(	PUNCT
cana-1284	99	44	)	)	PUNCT
cana-1284	99	45	(	(	PUNCT
cana-1284	99	46	)	)	PUNCT
cana-1284	100	1	y	y	PROPN
cana-1284	100	2	k	k	PROPN
cana-1284	100	3	j	j	PROPN
cana-1284	100	4	jk	jk	PROPN
cana-1284	100	5	p	p	PROPN
cana-1284	100	6	y	y	PROPN
cana-1284	100	7	k	k	PROPN
cana-1284	100	8	w	w	PROPN
cana-1284	100	9	=	=	NOUN
cana-1284	100	10			NOUN
cana-1284	100	11	=	=	PUNCT
cana-1284	101	1	=	=	SYM
cana-1284	101	2	−	−	PROPN
cana-1284	101	3			ADJ
cana-1284	101	4	x	x	SYM
cana-1284	101	5	1	1	NUM
cana-1284	101	6	x	x	SYM
cana-1284	101	7	l	l	NOUN
cana-1284	101	8	∣	∣	PROPN
cana-1284	101	9	where	where	SCONJ
cana-1284	101	10	jkw	jkw	ADP
cana-1284	101	11			ADJ
cana-1284	101	12			PROPN
cana-1284	101	13	l	l	NOUN
cana-1284	101	14	gradient	gradient	NOUN
cana-1284	101	15	of	of	ADP
cana-1284	101	16	the	the	DET
cana-1284	101	17	loss	loss	NOUN
cana-1284	101	18	function	function	NOUN
cana-1284	101	19	w.r.t	w.r.t	VERB
cana-1284	101	20	the	the	DET
cana-1284	101	21	weight	weight	NOUN
cana-1284	101	22	jkw	jkw	NOUN
cana-1284	101	23	connecting	connect	VERB
cana-1284	101	24	the	the	DET
cana-1284	101	25	jth	jth	PROPN
cana-1284	101	26	rbf	rbf	PROPN
cana-1284	101	27	neuron	neuron	PROPN
cana-1284	101	28	to	to	ADP
cana-1284	101	29	the	the	DET
cana-1284	101	30	kth	kth	PROPN
cana-1284	101	31	output	output	PROPN
cana-1284	101	32	neuron	neuron	PROPN
cana-1284	101	33	.	.	PUNCT
cana-1284	102	1	gradient	gradient	NOUN
cana-1284	102	2	of	of	ADP
cana-1284	102	3	cross	cross	ADJ
cana-1284	102	4	-	-	ADJ
cana-1284	102	5	entropy	entropy	ADJ
cana-1284	102	6	loss	loss	NOUN
cana-1284	102	7	w.r.t	w.r.t	NOUN
cana-1284	102	8	rbf	rbf	PROPN
cana-1284	102	9	centers	center	NOUN
cana-1284	102	10	is	be	AUX
cana-1284	102	11	defined	define	VERB
cana-1284	102	12	as	as	ADP
cana-1284	102	13	below	below	ADV
cana-1284	102	14	:	:	PUNCT
cana-1284	102	15	(	(	PUNCT
cana-1284	102	16	)	)	PUNCT
cana-1284	102	17	{	{	PUNCT
cana-1284	102	18	}	}	PUNCT
cana-1284	102	19	1	1	NUM
cana-1284	102	20	(	(	PUNCT
cana-1284	102	21	)	)	PUNCT
cana-1284	102	22	(	(	PUNCT
cana-1284	102	23	)	)	PUNCT
cana-1284	103	1	k	k	PROPN
cana-1284	103	2	j	j	PROPN
cana-1284	103	3	y	y	PROPN
cana-1284	103	4	k	k	PROPN
cana-1284	103	5	jk	jk	PROPN
cana-1284	103	6	kj	kj	PROPN
cana-1284	103	7	j	j	PROPN
cana-1284	103	8	p	p	PROPN
cana-1284	103	9	y	y	PROPN
cana-1284	103	10	k	k	PROPN
cana-1284	103	11	w	w	NOUN
cana-1284	103	12			NOUN
cana-1284	103	13	=	=	PUNCT
cana-1284	103	14	=	=	SYM
cana-1284	103	15			NOUN
cana-1284	103	16	=	=	PUNCT
cana-1284	104	1	=	=	SYM
cana-1284	104	2	−	−	ADP
cana-1284	104	3			ADJ
cana-1284	104	4			ADJ
cana-1284	104	5			X
cana-1284	105	1	x	x	PUNCT
cana-1284	105	2	x	x	X
cana-1284	105	3	1	1	NUM
cana-1284	105	4	c	c	NOUN
cana-1284	105	5	c	c	NOUN
cana-1284	105	6	l	l	NOUN
cana-1284	105	7	∣	∣	PROPN
cana-1284	105	8	where	where	SCONJ
cana-1284	105	9	(	(	PUNCT
cana-1284	105	10	)	)	PUNCT
cana-1284	105	11	j	j	PROPN
cana-1284	105	12	j	j	PROPN
cana-1284	105	13			PROPN
cana-1284	105	14			PROPN
cana-1284	105	15	x	x	SYM
cana-1284	105	16	c	c	NOUN
cana-1284	105	17	gradient	gradient	NOUN
cana-1284	105	18	of	of	ADP
cana-1284	105	19	the	the	DET
cana-1284	105	20	rbf	rbf	PROPN
cana-1284	105	21	activation	activation	NOUN
cana-1284	105	22	function	function	NOUN
cana-1284	105	23	w.r.t	w.r.t	VERB
cana-1284	105	24	the	the	DET
cana-1284	105	25	center	center	NOUN
cana-1284	105	26	jc	jc	PROPN
cana-1284	105	27	.	.	PUNCT
cana-1284	106	1	gradient	gradient	NOUN
cana-1284	106	2	of	of	ADP
cana-1284	106	3	rbf	rbf	PROPN
cana-1284	106	4	activation	activation	NOUN
cana-1284	106	5	w.r.t	w.r.t	PROPN
cana-1284	106	6	center	center	NOUN
cana-1284	106	7	is	be	AUX
cana-1284	106	8	defined	define	VERB
cana-1284	106	9	as	as	ADP
cana-1284	106	10	below	below	ADV
cana-1284	106	11	:	:	PUNCT
cana-1284	106	12	2	2	NUM
cana-1284	106	13	(	(	PUNCT
cana-1284	106	14	)	)	PUNCT
cana-1284	106	15	(	(	PUNCT
cana-1284	106	16	)	)	PUNCT
cana-1284	107	1	(	(	PUNCT
cana-1284	107	2	)	)	PUNCT
cana-1284	107	3	j	j	PROPN
cana-1284	108	1	j	j	PROPN
cana-1284	108	2	j	j	PROPN
cana-1284	108	3	j	j	PROPN
cana-1284	108	4	j	j	PROPN
cana-1284	108	5			PROPN
cana-1284	108	6			NOUN
cana-1284	108	7			X
cana-1284	108	8			ADJ
cana-1284	108	9			ADJ
cana-1284	108	10	−	−	NOUN
cana-1284	108	11	=	=	SYM
cana-1284	108	12			ADJ
cana-1284	108	13	x	x	X
cana-1284	108	14	x	x	PUNCT
cana-1284	108	15	x	x	PUNCT
cana-1284	108	16	c	c	NOUN
cana-1284	108	17	c	c	X
cana-1284	108	18	where	where	SCONJ
cana-1284	108	19	(	(	PUNCT
cana-1284	108	20	)	)	PUNCT
cana-1284	108	21	j	j	PROPN
cana-1284	109	1	j	j	PROPN
cana-1284	109	2			PROPN
cana-1284	109	3			PROPN
cana-1284	109	4	x	x	SYM
cana-1284	109	5	c	c	NOUN
cana-1284	109	6	partial	partial	ADJ
cana-1284	109	7	derivative	derivative	NOUN
cana-1284	109	8	of	of	ADP
cana-1284	109	9	the	the	DET
cana-1284	109	10	rbf	rbf	PROPN
cana-1284	109	11	activation	activation	NOUN
cana-1284	109	12	function	function	NOUN
cana-1284	109	13	w.r.t	w.r.t	VERB
cana-1284	109	14	its	its	PRON
cana-1284	109	15	center	center	NOUN
cana-1284	109	16	jc	jc	PROPN
cana-1284	109	17	.	.	PUNCT
cana-1284	110	1	communications	communication	NOUN
cana-1284	110	2	on	on	ADP
cana-1284	110	3	applied	apply	VERB
cana-1284	110	4	nonlinear	nonlinear	ADJ
cana-1284	110	5	analysis	analysis	NOUN
cana-1284	110	6	issn	issn	NOUN
cana-1284	110	7	:	:	PUNCT
cana-1284	110	8	1074	1074	NUM
cana-1284	110	9	-	-	PUNCT
cana-1284	110	10	133x	133x	NUM
cana-1284	110	11	vol	vol	NOUN
cana-1284	110	12	31	31	NUM
cana-1284	110	13	no	no	NOUN
cana-1284	110	14	.	.	PUNCT
cana-1284	111	1	7s	7	NOUN
cana-1284	111	2	(	(	PUNCT
cana-1284	111	3	2024	2024	NUM
cana-1284	111	4	)	)	PUNCT
cana-1284	111	5	61	61	NUM
cana-1284	111	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1284	111	7	gradient	gradient	NOUN
cana-1284	111	8	of	of	ADP
cana-1284	111	9	rbf	rbf	PROPN
cana-1284	111	10	activation	activation	NOUN
cana-1284	111	11	w.r.t	w.r.t	ADJ
cana-1284	111	12	spread	spread	NOUN
cana-1284	111	13	is	be	AUX
cana-1284	111	14	defined	define	VERB
cana-1284	111	15	as	as	ADP
cana-1284	111	16	below	below	ADV
cana-1284	111	17	:	:	PUNCT
cana-1284	111	18	2	2	NUM
cana-1284	111	19	2	2	NUM
cana-1284	111	20	3	3	NUM
cana-1284	111	21	(	(	PUNCT
cana-1284	111	22	)	)	PUNCT
cana-1284	111	23	(	(	PUNCT
cana-1284	111	24	)	)	PUNCT
cana-1284	112	1	j	j	PROPN
cana-1284	113	1	j	j	PROPN
cana-1284	113	2	j	j	PROPN
cana-1284	113	3	j	j	PROPN
cana-1284	113	4	j	j	PROPN
cana-1284	113	5	j	j	PROPN
cana-1284	113	6			PROPN
cana-1284	113	7			PROPN
cana-1284	113	8			NOUN
cana-1284	113	9			X
cana-1284	113	10			X
cana-1284	113	11			NOUN
cana-1284	113	12	−	−	NOUN
cana-1284	114	1	−	−	PROPN
cana-1284	115	1	=	=	SYM
cana-1284	116	1			ADJ
cana-1284	116	2			NOUN
cana-1284	116	3	x	x	X
cana-1284	116	4	x	x	PUNCT
cana-1284	116	5	c	c	NOUN
cana-1284	116	6	x	x	X
cana-1284	116	7	‖	‖	PROPN
cana-1284	116	8	‖	‖	PROPN
cana-1284	116	9	where	where	SCONJ
cana-1284	116	10	(	(	PUNCT
cana-1284	116	11	)	)	PUNCT
cana-1284	116	12	j	j	PROPN
cana-1284	116	13	j	j	PROPN
cana-1284	116	14			PROPN
cana-1284	116	15			VERB
cana-1284	116	16			ADJ
cana-1284	116	17			ADJ
cana-1284	116	18	x	x	SYM
cana-1284	116	19	partial	partial	ADJ
cana-1284	116	20	derivative	derivative	NOUN
cana-1284	116	21	of	of	ADP
cana-1284	116	22	the	the	DET
cana-1284	116	23	rbf	rbf	PROPN
cana-1284	116	24	activation	activation	NOUN
cana-1284	116	25	function	function	NOUN
cana-1284	116	26	w.r.t	w.r.t	VERB
cana-1284	116	27	its	its	PRON
cana-1284	116	28	spread	spread	ADJ
cana-1284	116	29	j	j	PROPN
cana-1284	116	30	.	.	PUNCT
cana-1284	117	1	pseudocode	pseudocode	PROPN
cana-1284	117	2	for	for	ADP
cana-1284	117	3	deep	deep	ADJ
cana-1284	117	4	rbf	rbf	PROPN
cana-1284	117	5	network	network	NOUN
cana-1284	117	6	for	for	ADP
cana-1284	117	7	feature	feature	NOUN
cana-1284	117	8	extraction	extraction	NOUN
cana-1284	117	9	and	and	CCONJ
cana-1284	117	10	classification	classification	NOUN
cana-1284	117	11	1	1	NUM
cana-1284	117	12	.	.	PUNCT
cana-1284	118	1	data	datum	NOUN
cana-1284	118	2	preprocessing	preprocesse	VERB
cana-1284	118	3	1.1	1.1	NUM
cana-1284	118	4	load	load	NOUN
cana-1284	118	5	dataset	dataset	NOUN
cana-1284	118	6	load	load	NOUN
cana-1284	118	7	dataset	dataset	NOUN
cana-1284	118	8	(	(	PUNCT
cana-1284	118	9	features	feature	NOUN
cana-1284	118	10	and	and	CCONJ
cana-1284	118	11	labels	label	NOUN
cana-1284	118	12	)	)	PUNCT
cana-1284	118	13	from	from	ADP
cana-1284	118	14	source	source	NOUN
cana-1284	118	15	1.2	1.2	NUM
cana-1284	118	16	handle	handle	NOUN
cana-1284	118	17	missing	miss	VERB
cana-1284	118	18	values	value	NOUN
cana-1284	118	19	impute	impute	VERB
cana-1284	118	20	or	or	CCONJ
cana-1284	118	21	remove	remove	VERB
cana-1284	118	22	missing	miss	VERB
cana-1284	118	23	values	value	NOUN
cana-1284	118	24	from	from	ADP
cana-1284	118	25	the	the	DET
cana-1284	118	26	dataset	dataset	ADJ
cana-1284	118	27	1.3	1.3	NUM
cana-1284	118	28	feature	feature	NOUN
cana-1284	118	29	scaling	scale	VERB
cana-1284	118	30	normalize	normalize	VERB
cana-1284	118	31	or	or	CCONJ
cana-1284	118	32	standardize	standardize	VERB
cana-1284	118	33	features	feature	NOUN
cana-1284	118	34	(	(	PUNCT
cana-1284	118	35	e.g.	e.g.	ADV
cana-1284	118	36	,	,	PUNCT
cana-1284	118	37	using	use	VERB
cana-1284	118	38	min	min	NOUN
cana-1284	118	39	-	-	ADJ
cana-1284	118	40	max	max	ADJ
cana-1284	118	41	scaling	scaling	NOUN
cana-1284	118	42	or	or	CCONJ
cana-1284	118	43	z	z	NOUN
cana-1284	118	44	-	-	PUNCT
cana-1284	118	45	score	score	NOUN
cana-1284	118	46	normalization	normalization	NOUN
cana-1284	118	47	)	)	PUNCT
cana-1284	118	48	1.4	1.4	NUM
cana-1284	118	49	split	split	NOUN
cana-1284	118	50	data	datum	NOUN
cana-1284	118	51	2	2	NUM
cana-1284	118	52	.	.	PUNCT
cana-1284	118	53	initialize	initialize	VERB
cana-1284	118	54	deep	deep	ADJ
cana-1284	118	55	rbf	rbf	PROPN
cana-1284	118	56	network	network	NOUN
cana-1284	118	57	2.1	2.1	NUM
cana-1284	118	58	define	define	NOUN
cana-1284	118	59	network	network	NOUN
cana-1284	118	60	architecture	architecture	NOUN
cana-1284	118	61	set	set	NOUN
cana-1284	118	62	number	number	NOUN
cana-1284	118	63	of	of	ADP
cana-1284	118	64	layers	layer	NOUN
cana-1284	118	65	(	(	PUNCT
cana-1284	118	66	e.g.	e.g.	ADV
cana-1284	118	67	,	,	PUNCT
cana-1284	118	68	input	input	NOUN
cana-1284	118	69	layer	layer	NOUN
cana-1284	118	70	,	,	PUNCT
cana-1284	118	71	multiple	multiple	ADJ
cana-1284	118	72	hidden	hide	VERB
cana-1284	118	73	layers	layer	NOUN
cana-1284	118	74	,	,	PUNCT
cana-1284	118	75	output	output	NOUN
cana-1284	118	76	layer	layer	NOUN
cana-1284	118	77	)	)	PUNCT
cana-1284	118	78	specify	specify	VERB
cana-1284	118	79	number	number	NOUN
cana-1284	118	80	of	of	ADP
cana-1284	118	81	neurons	neuron	NOUN
cana-1284	118	82	in	in	ADP
cana-1284	118	83	each	each	DET
cana-1284	118	84	hidden	hide	VERB
cana-1284	118	85	layer	layer	NOUN
cana-1284	118	86	define	define	VERB
cana-1284	118	87	number	number	NOUN
cana-1284	118	88	of	of	ADP
cana-1284	118	89	rbf	rbf	PROPN
cana-1284	118	90	neurons	neuron	NOUN
cana-1284	118	91	in	in	ADP
cana-1284	118	92	each	each	DET
cana-1284	118	93	layer	layer	NOUN
cana-1284	118	94	2.2	2.2	NUM
cana-1284	118	95	initialize	initialize	NOUN
cana-1284	118	96	weights	weight	NOUN
cana-1284	118	97	initialize	initialize	VERB
cana-1284	118	98	weights	weight	NOUN
cana-1284	118	99	for	for	ADP
cana-1284	118	100	rbf	rbf	PROPN
cana-1284	118	101	centers	center	NOUN
cana-1284	118	102	and	and	CCONJ
cana-1284	118	103	output	output	NOUN
cana-1284	118	104	layer	layer	NOUN
cana-1284	118	105	randomly	randomly	ADV
cana-1284	118	106	2.3	2.3	NUM
cana-1284	118	107	initialize	initialize	NOUN
cana-1284	118	108	parameters	parameter	NOUN
cana-1284	118	109	set	set	VERB
cana-1284	118	110	learning	learning	NOUN
cana-1284	118	111	rate	rate	NOUN
cana-1284	118	112	,	,	PUNCT
cana-1284	118	113	number	number	NOUN
cana-1284	118	114	of	of	ADP
cana-1284	118	115	epochs	epoch	NOUN
cana-1284	118	116	,	,	PUNCT
cana-1284	118	117	and	and	CCONJ
cana-1284	118	118	other	other	ADJ
cana-1284	118	119	hyperparameters	hyperparameter	NOUN
cana-1284	118	120	3	3	NUM
cana-1284	118	121	.	.	NOUN
cana-1284	118	122	feature	feature	NOUN
cana-1284	118	123	extraction	extraction	NOUN
cana-1284	118	124	with	with	ADP
cana-1284	118	125	rbf	rbf	PROPN
cana-1284	118	126	layers	layer	NOUN
cana-1284	118	127	3.1	3.1	NUM
cana-1284	118	128	for	for	ADP
cana-1284	118	129	each	each	DET
cana-1284	118	130	hidden	hide	VERB
cana-1284	118	131	layer	layer	NOUN
cana-1284	118	132	in	in	ADP
cana-1284	118	133	the	the	DET
cana-1284	118	134	network	network	NOUN
cana-1284	118	135	:	:	PUNCT
cana-1284	118	136	3.1.1	3.1.1	NUM
cana-1284	118	137	compute	compute	NOUN
cana-1284	118	138	rbf	rbf	PROPN
cana-1284	118	139	centers	center	NOUN
cana-1284	118	140	use	use	VERB
cana-1284	118	141	k	k	ADJ
cana-1284	118	142	-	-	PUNCT
cana-1284	118	143	means	means	NOUN
cana-1284	118	144	clustering	clustering	NOUN
cana-1284	118	145	or	or	CCONJ
cana-1284	118	146	another	another	DET
cana-1284	118	147	method	method	NOUN
cana-1284	118	148	to	to	PART
cana-1284	118	149	determine	determine	VERB
cana-1284	118	150	rbf	rbf	PROPN
cana-1284	118	151	centers	center	NOUN
cana-1284	118	152	3.1.2	3.1.2	PRON
cana-1284	118	153	calculate	calculate	VERB
cana-1284	118	154	rbf	rbf	PROPN
cana-1284	118	155	activations	activation	NOUN
cana-1284	118	156	for	for	ADP
cana-1284	118	157	each	each	DET
cana-1284	118	158	input	input	NOUN
cana-1284	118	159	vector	vector	NOUN
cana-1284	118	160	x	x	NOUN
cana-1284	118	161	,	,	PUNCT
cana-1284	118	162	compute	compute	PROPN
cana-1284	118	163	rbf	rbf	PROPN
cana-1284	118	164	activation	activation	NOUN
cana-1284	118	165	values	value	NOUN
cana-1284	118	166	for	for	ADP
cana-1284	118	167	neurons	neuron	NOUN
cana-1284	118	168	use	use	VERB
cana-1284	118	169	gaussian	gaussian	ADJ
cana-1284	118	170	function	function	NOUN
cana-1284	118	171	:	:	PUNCT
cana-1284	118	172	φ(x	φ(x	NOUN
cana-1284	118	173	)	)	PUNCT
cana-1284	118	174	=	=	SYM
cana-1284	119	1	exp(||x	exp(||x	X
cana-1284	119	2	c||²	c||²	PROPN
cana-1284	119	3	/	/	SYM
cana-1284	119	4	(	(	PUNCT
cana-1284	119	5	2	2	NUM
cana-1284	119	6	*	*	NOUN
cana-1284	119	7	σ²	σ²	NOUN
cana-1284	119	8	)	)	PUNCT
cana-1284	119	9	)	)	PUNCT
cana-1284	119	10	communications	communication	NOUN
cana-1284	119	11	on	on	ADP
cana-1284	119	12	applied	apply	VERB
cana-1284	119	13	nonlinear	nonlinear	ADJ
cana-1284	119	14	analysis	analysis	NOUN
cana-1284	119	15	issn	issn	NOUN
cana-1284	119	16	:	:	PUNCT
cana-1284	119	17	1074	1074	NUM
cana-1284	119	18	-	-	PUNCT
cana-1284	119	19	133x	133x	NUM
cana-1284	119	20	vol	vol	NOUN
cana-1284	119	21	31	31	NUM
cana-1284	119	22	no	no	NOUN
cana-1284	119	23	.	.	PUNCT
cana-1284	120	1	7s	7	NOUN
cana-1284	120	2	(	(	PUNCT
cana-1284	120	3	2024	2024	NUM
cana-1284	120	4	)	)	PUNCT
cana-1284	120	5	62	62	NUM
cana-1284	120	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1284	120	7	here	here	ADV
cana-1284	120	8	,	,	PUNCT
cana-1284	120	9	c	c	PROPN
cana-1284	120	10	is	be	AUX
cana-1284	120	11	the	the	DET
cana-1284	120	12	center	center	NOUN
cana-1284	120	13	and	and	CCONJ
cana-1284	120	14	σ	σ	PROPN
cana-1284	120	15	is	be	AUX
cana-1284	120	16	the	the	DET
cana-1284	120	17	spread	spread	ADJ
cana-1284	120	18	(	(	PUNCT
cana-1284	120	19	variance	variance	NOUN
cana-1284	120	20	)	)	PUNCT
cana-1284	120	21	of	of	ADP
cana-1284	120	22	the	the	DET
cana-1284	120	23	rbf	rbf	PROPN
cana-1284	120	24	3.1.3	3.1.3	PROPN
cana-1284	120	25	store	store	NOUN
cana-1284	120	26	activation	activation	NOUN
cana-1284	120	27	values	value	NOUN
cana-1284	120	28	store	store	VERB
cana-1284	120	29	the	the	DET
cana-1284	120	30	activation	activation	NOUN
cana-1284	120	31	values	value	NOUN
cana-1284	120	32	as	as	ADP
cana-1284	120	33	the	the	DET
cana-1284	120	34	output	output	NOUN
cana-1284	120	35	of	of	ADP
cana-1284	120	36	the	the	DET
cana-1284	120	37	rbf	rbf	PROPN
cana-1284	120	38	layer	layer	NOUN
cana-1284	120	39	4	4	NUM
cana-1284	120	40	.	.	PUNCT
cana-1284	121	1	classification	classification	NOUN
cana-1284	121	2	4.1	4.1	NUM
cana-1284	121	3	train	train	NOUN
cana-1284	121	4	output	output	NOUN
cana-1284	121	5	layer	layer	NOUN
cana-1284	121	6	for	for	ADP
cana-1284	121	7	each	each	DET
cana-1284	121	8	sample	sample	NOUN
cana-1284	121	9	in	in	ADP
cana-1284	121	10	the	the	DET
cana-1284	121	11	training	training	NOUN
cana-1284	121	12	set	set	NOUN
cana-1284	121	13	:	:	PUNCT
cana-1284	121	14	4.1.1	4.1.1	NUM
cana-1284	121	15	compute	compute	NOUN
cana-1284	121	16	output	output	NOUN
cana-1284	121	17	calculate	calculate	VERB
cana-1284	121	18	the	the	DET
cana-1284	121	19	weighted	weighted	ADJ
cana-1284	121	20	sum	sum	NOUN
cana-1284	121	21	of	of	ADP
cana-1284	121	22	rbf	rbf	PROPN
cana-1284	121	23	activations	activation	NOUN
cana-1284	121	24	apply	apply	VERB
cana-1284	121	25	an	an	DET
cana-1284	121	26	activation	activation	NOUN
cana-1284	121	27	function	function	NOUN
cana-1284	121	28	(	(	PUNCT
cana-1284	121	29	e.g.	e.g.	ADV
cana-1284	121	30	,	,	PUNCT
cana-1284	121	31	softmax	softmax	X
cana-1284	121	32	for	for	ADP
cana-1284	121	33	multi	multi	ADJ
cana-1284	121	34	-	-	ADJ
cana-1284	121	35	class	class	ADJ
cana-1284	121	36	classification	classification	NOUN
cana-1284	121	37	)	)	PUNCT
cana-1284	121	38	4.1.2	4.1.2	NUM
cana-1284	121	39	compute	compute	NOUN
cana-1284	121	40	loss	loss	NOUN
cana-1284	121	41	use	use	NOUN
cana-1284	121	42	loss	loss	NOUN
cana-1284	121	43	function	function	NOUN
cana-1284	121	44	(	(	PUNCT
cana-1284	121	45	e.g.	e.g.	ADV
cana-1284	121	46	,	,	PUNCT
cana-1284	121	47	cross	cross	ADJ
cana-1284	121	48	-	-	ADJ
cana-1284	121	49	entropy	entropy	ADJ
cana-1284	121	50	loss	loss	NOUN
cana-1284	121	51	)	)	PUNCT
cana-1284	121	52	to	to	PART
cana-1284	121	53	measure	measure	VERB
cana-1284	121	54	prediction	prediction	NOUN
cana-1284	121	55	error	error	NOUN
cana-1284	121	56	4.1.3	4.1.3	NUM
cana-1284	121	57	update	update	NOUN
cana-1284	121	58	weights	weight	NOUN
cana-1284	121	59	adjust	adjust	VERB
cana-1284	121	60	weights	weight	NOUN
cana-1284	121	61	using	use	VERB
cana-1284	121	62	optimization	optimization	NOUN
cana-1284	121	63	algorithm	algorithm	NOUN
cana-1284	121	64	(	(	PUNCT
cana-1284	121	65	e.g.	e.g.	ADV
cana-1284	121	66	,	,	PUNCT
cana-1284	121	67	gradient	gradient	ADJ
cana-1284	121	68	descent	descent	NOUN
cana-1284	121	69	)	)	PUNCT
cana-1284	121	70	4.2	4.2	NUM
cana-1284	121	71	validate	validate	NOUN
cana-1284	121	72	network	network	NOUN
cana-1284	121	73	use	use	NOUN
cana-1284	121	74	validation	validation	NOUN
cana-1284	121	75	set	set	VERB
cana-1284	121	76	to	to	PART
cana-1284	121	77	evaluate	evaluate	VERB
cana-1284	121	78	network	network	NOUN
cana-1284	121	79	performance	performance	NOUN
cana-1284	121	80	and	and	CCONJ
cana-1284	121	81	tune	tune	NOUN
cana-1284	121	82	hyperparameters	hyperparameter	NOUN
cana-1284	121	83	adjust	adjust	VERB
cana-1284	121	84	learning	learning	NOUN
cana-1284	121	85	rate	rate	NOUN
cana-1284	121	86	,	,	PUNCT
cana-1284	121	87	number	number	NOUN
cana-1284	121	88	of	of	ADP
cana-1284	121	89	epochs	epoch	NOUN
cana-1284	121	90	,	,	PUNCT
cana-1284	121	91	and	and	CCONJ
cana-1284	121	92	rbf	rbf	PROPN
cana-1284	121	93	spread	spread	VERB
cana-1284	121	94	as	as	ADV
cana-1284	121	95	needed	need	VERB
cana-1284	121	96	5	5	NUM
cana-1284	121	97	.	.	NOUN
cana-1284	121	98	results	result	NOUN
cana-1284	121	99	and	and	CCONJ
cana-1284	121	100	discussion	discussion	NOUN
cana-1284	121	101	we	we	PRON
cana-1284	121	102	analyzed	analyze	VERB
cana-1284	121	103	the	the	DET
cana-1284	121	104	deep	deep	ADJ
cana-1284	121	105	radial	radial	ADJ
cana-1284	121	106	basis	basis	NOUN
cana-1284	121	107	function	function	NOUN
cana-1284	121	108	(	(	PUNCT
cana-1284	121	109	rbf	rbf	PROPN
cana-1284	121	110	)	)	PUNCT
cana-1284	121	111	network	network	NOUN
cana-1284	121	112	running	run	VERB
cana-1284	121	113	on	on	ADP
cana-1284	121	114	an	an	DET
cana-1284	121	115	intel	intel	NOUN
cana-1284	121	116	core	core	NOUN
cana-1284	121	117	i9	i9	NOUN
cana-1284	121	118	-	-	PUNCT
cana-1284	121	119	13900k	13900k	NUM
cana-1284	121	120	cpu	cpu	NOUN
cana-1284	121	121	with	with	ADP
cana-1284	121	122	64	64	NUM
cana-1284	121	123	gb	gb	NOUN
cana-1284	121	124	of	of	ADP
cana-1284	121	125	ram	ram	NOUN
cana-1284	121	126	and	and	CCONJ
cana-1284	121	127	an	an	DET
cana-1284	121	128	nvidia	nvidia	PROPN
cana-1284	121	129	geforce	geforce	NOUN
cana-1284	121	130	rtxgyn	rtxgyn	X
cana-1284	121	131	using	use	VERB
cana-1284	121	132	python	python	NOUN
cana-1284	121	133	with	with	ADP
cana-1284	121	134	tensorflow	tensorflow	NOUN
cana-1284	121	135	and	and	CCONJ
cana-1284	121	136	scikitlearn	scikitlearn	ADJ
cana-1284	121	137	tools	tool	NOUN
cana-1284	121	138	.	.	PUNCT
cana-1284	122	1	divisible	divisible	ADJ
cana-1284	122	2	into	into	ADP
cana-1284	122	3	training	training	NOUN
cana-1284	122	4	(	(	PUNCT
cana-1284	122	5	70	70	NUM
cana-1284	122	6	%	%	NOUN
cana-1284	122	7	)	)	PUNCT
cana-1284	122	8	,	,	PUNCT
cana-1284	122	9	validation	validation	NOUN
cana-1284	122	10	(	(	PUNCT
cana-1284	122	11	15	15	NUM
cana-1284	122	12	%	%	NOUN
cana-1284	122	13	)	)	PUNCT
cana-1284	122	14	,	,	PUNCT
cana-1284	122	15	and	and	CCONJ
cana-1284	122	16	test	test	NOUN
cana-1284	122	17	(	(	PUNCT
cana-1284	122	18	15	15	NUM
cana-1284	122	19	%	%	NOUN
cana-1284	122	20	)	)	PUNCT
cana-1284	122	21	,	,	PUNCT
cana-1284	122	22	subsets	subset	NOUN
cana-1284	122	23	,	,	PUNCT
cana-1284	122	24	the	the	DET
cana-1284	122	25	dataset	dataset	NOUN
cana-1284	122	26	includes	include	VERB
cana-1284	122	27	student	student	NOUN
cana-1284	122	28	attributes	attribute	NOUN
cana-1284	122	29	and	and	CCONJ
cana-1284	122	30	performance	performance	NOUN
cana-1284	122	31	metrics	metric	NOUN
cana-1284	122	32	from	from	ADP
cana-1284	122	33	an	an	DET
cana-1284	122	34	mba	mba	NOUN
cana-1284	122	35	program	program	NOUN
cana-1284	122	36	.	.	PUNCT
cana-1284	123	1	the	the	DET
cana-1284	123	2	deep	deep	PROPN
cana-1284	123	3	rbf	rbf	PROPN
cana-1284	123	4	network	network	NOUN
cana-1284	123	5	included	include	VERB
cana-1284	123	6	three	three	NUM
cana-1284	123	7	latent	latent	ADJ
cana-1284	123	8	layers	layer	NOUN
cana-1284	123	9	of	of	ADP
cana-1284	123	10	rbf	rbf	PROPN
cana-1284	123	11	neurons	neuron	NOUN
cana-1284	123	12	,	,	PUNCT
cana-1284	123	13	and	and	CCONJ
cana-1284	123	14	grid	grid	NOUN
cana-1284	123	15	search	search	NOUN
cana-1284	123	16	and	and	CCONJ
cana-1284	123	17	cross	cross	NOUN
cana-1284	123	18	-	-	NOUN
cana-1284	123	19	valuation	valuation	NOUN
cana-1284	123	20	assisted	assist	VERB
cana-1284	123	21	to	to	PART
cana-1284	123	22	maximize	maximize	VERB
cana-1284	123	23	hyperparameters	hyperparameter	NOUN
cana-1284	123	24	.	.	PUNCT
cana-1284	124	1	running	run	VERB
cana-1284	124	2	for	for	ADP
cana-1284	124	3	100	100	NUM
cana-1284	124	4	epochs	epoch	NOUN
cana-1284	124	5	with	with	ADP
cana-1284	124	6	early	early	ADJ
cana-1284	124	7	halting	halting	NOUN
cana-1284	124	8	employed	employ	VERB
cana-1284	124	9	to	to	PART
cana-1284	124	10	guard	guard	VERB
cana-1284	124	11	overfitting	overfitting	NOUN
cana-1284	124	12	,	,	PUNCT
cana-1284	124	13	training	training	NOUN
cana-1284	124	14	had	have	VERB
cana-1284	124	15	a	a	DET
cana-1284	124	16	batch	batch	NOUN
cana-1284	124	17	size	size	NOUN
cana-1284	124	18	of	of	ADP
cana-1284	124	19	32	32	NUM
cana-1284	124	20	.	.	PUNCT
cana-1284	125	1	table	table	NOUN
cana-1284	125	2	1	1	NUM
cana-1284	125	3	:	:	PUNCT
cana-1284	125	4	performance	performance	NOUN
cana-1284	125	5	evaluation	evaluation	NOUN
cana-1284	125	6	of	of	ADP
cana-1284	125	7	various	various	ADJ
cana-1284	125	8	split	split	NOUN
cana-1284	125	9	method	method	NOUN
cana-1284	125	10	dataset	dataset	NOUN
cana-1284	125	11	accuracy	accuracy	NOUN
cana-1284	125	12	(	(	PUNCT
cana-1284	125	13	%	%	INTJ
cana-1284	125	14	)	)	PUNCT
cana-1284	125	15	rmse	rmse	PROPN
cana-1284	126	1	mae	mae	PROPN
cana-1284	126	2	rf	rf	AUX
cana-1284	126	3	training	training	NOUN
cana-1284	126	4	84.5	84.5	NUM
cana-1284	126	5	0.40	0.40	NUM
cana-1284	126	6	0.30	0.30	NUM
cana-1284	126	7	validation	validation	NOUN
cana-1284	126	8	82.3	82.3	NUM
cana-1284	126	9	0.45	0.45	NUM
cana-1284	126	10	0.38	0.38	NUM
cana-1284	126	11	testing	test	VERB
cana-1284	126	12	82.3	82.3	NUM
cana-1284	126	13	0.45	0.45	NUM
cana-1284	126	14	0.38	0.38	NUM
cana-1284	126	15	mlp	mlp	NOUN
cana-1284	126	16	training	train	VERB
cana-1284	126	17	86.3	86.3	NUM
cana-1284	126	18	0.37	0.37	NUM
cana-1284	126	19	0.28	0.28	NUM
cana-1284	126	20	communications	communication	NOUN
cana-1284	126	21	on	on	ADP
cana-1284	126	22	applied	apply	VERB
cana-1284	126	23	nonlinear	nonlinear	ADJ
cana-1284	126	24	analysis	analysis	NOUN
cana-1284	126	25	issn	issn	NOUN
cana-1284	126	26	:	:	PUNCT
cana-1284	126	27	1074	1074	NUM
cana-1284	126	28	-	-	PUNCT
cana-1284	126	29	133x	133x	NUM
cana-1284	126	30	vol	vol	NOUN
cana-1284	126	31	31	31	NUM
cana-1284	126	32	no	no	NOUN
cana-1284	126	33	.	.	PUNCT
cana-1284	127	1	7s	7	NOUN
cana-1284	127	2	(	(	PUNCT
cana-1284	127	3	2024	2024	NUM
cana-1284	127	4	)	)	PUNCT
cana-1284	127	5	63	63	NUM
cana-1284	127	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1284	127	7	validation	validation	NOUN
cana-1284	127	8	85.1	85.1	NUM
cana-1284	127	9	0.40	0.40	NUM
cana-1284	127	10	0.30	0.30	NUM
cana-1284	127	11	testing	test	VERB
cana-1284	127	12	85.1	85.1	NUM
cana-1284	127	13	0.40	0.40	NUM
cana-1284	127	14	0.30	0.30	NUM
cana-1284	127	15	fim	fim	NOUN
cana-1284	127	16	training	train	VERB
cana-1284	127	17	79.7	79.7	NUM
cana-1284	127	18	0.55	0.55	NUM
cana-1284	127	19	0.42	0.42	NUM
cana-1284	127	20	validation	validation	NOUN
cana-1284	127	21	78.9	78.9	NUM
cana-1284	127	22	0.55	0.55	NUM
cana-1284	127	23	0.42	0.42	NUM
cana-1284	127	24	testing	test	VERB
cana-1284	127	25	78.9	78.9	NUM
cana-1284	127	26	0.55	0.55	NUM
cana-1284	127	27	0.42	0.42	NUM
cana-1284	127	28	deep	deep	ADJ
cana-1284	127	29	rbf	rbf	PROPN
cana-1284	127	30	training	training	NOUN
cana-1284	127	31	89.2	89.2	NUM
cana-1284	127	32	0.32	0.32	NUM
cana-1284	127	33	0.23	0.23	NUM
cana-1284	127	34	validation	validation	NOUN
cana-1284	127	35	87.5	87.5	NUM
cana-1284	127	36	0.35	0.35	NUM
cana-1284	127	37	0.25	0.25	NUM
cana-1284	127	38	testing	test	VERB
cana-1284	127	39	87.5	87.5	NUM
cana-1284	127	40	0.35	0.35	NUM
cana-1284	127	41	0.25	0.25	NUM
cana-1284	127	42	figure	figure	NOUN
cana-1284	127	43	2	2	NUM
cana-1284	127	44	:	:	PUNCT
cana-1284	127	45	accuracy	accuracy	NOUN
cana-1284	127	46	(	(	PUNCT
cana-1284	127	47	%	%	INTJ
cana-1284	127	48	)	)	PUNCT
cana-1284	127	49	figure	figure	NOUN
cana-1284	127	50	3	3	NUM
cana-1284	127	51	:	:	PUNCT
cana-1284	127	52	rmse	rmse	ADJ
cana-1284	127	53	figure	figure	NOUN
cana-1284	127	54	4	4	NUM
cana-1284	127	55	:	:	PUNCT
cana-1284	127	56	mae	mae	PROPN
cana-1284	127	57	communications	communication	NOUN
cana-1284	127	58	on	on	ADP
cana-1284	127	59	applied	apply	VERB
cana-1284	127	60	nonlinear	nonlinear	ADJ
cana-1284	127	61	analysis	analysis	NOUN
cana-1284	127	62	issn	issn	NOUN
cana-1284	127	63	:	:	PUNCT
cana-1284	127	64	1074	1074	NUM
cana-1284	127	65	-	-	PUNCT
cana-1284	127	66	133x	133x	NUM
cana-1284	127	67	vol	vol	NOUN
cana-1284	127	68	31	31	NUM
cana-1284	127	69	no	no	NOUN
cana-1284	127	70	.	.	PUNCT
cana-1284	128	1	7s	7	NOUN
cana-1284	128	2	(	(	PUNCT
cana-1284	128	3	2024	2024	NUM
cana-1284	128	4	)	)	PUNCT
cana-1284	128	5	64	64	NUM
cana-1284	128	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1284	128	7	deep	deep	ADJ
cana-1284	128	8	rbf	rbf	PROPN
cana-1284	128	9	network	network	PROPN
cana-1284	128	10	accuracy	accuracy	NOUN
cana-1284	128	11	shows	show	VERB
cana-1284	128	12	a	a	DET
cana-1284	128	13	consistent	consistent	ADJ
cana-1284	128	14	trend	trend	NOUN
cana-1284	128	15	over	over	ADP
cana-1284	128	16	multiple	multiple	ADJ
cana-1284	128	17	sample	sample	NOUN
cana-1284	128	18	sizes	size	NOUN
cana-1284	128	19	.	.	PUNCT
cana-1284	129	1	with	with	ADP
cana-1284	129	2	smaller	small	ADJ
cana-1284	129	3	sets	set	NOUN
cana-1284	129	4	—	—	PUNCT
cana-1284	129	5	let	let	VERB
cana-1284	129	6	us	we	PRON
cana-1284	129	7	,	,	PUNCT
cana-1284	129	8	150	150	NUM
cana-1284	129	9	samples	sample	NOUN
cana-1284	129	10	—	—	PUNCT
cana-1284	129	11	the	the	DET
cana-1284	129	12	accuracy	accuracy	NOUN
cana-1284	129	13	is	be	AUX
cana-1284	129	14	87.8	87.8	NUM
cana-1284	129	15	%	%	NOUN
cana-1284	129	16	)	)	PUNCT
cana-1284	129	17	.	.	PUNCT
cana-1284	130	1	the	the	DET
cana-1284	130	2	accuracy	accuracy	NOUN
cana-1284	130	3	climbs	climb	VERB
cana-1284	130	4	significantly	significantly	ADV
cana-1284	130	5	as	as	SCONJ
cana-1284	130	6	the	the	DET
cana-1284	130	7	dataset	dataset	NOUN
cana-1284	130	8	size	size	NOUN
cana-1284	130	9	increases	increase	NOUN
cana-1284	130	10	;	;	PUNCT
cana-1284	130	11	it	it	PRON
cana-1284	130	12	peaks	peak	VERB
cana-1284	130	13	at	at	ADP
cana-1284	130	14	88.7	88.7	NUM
cana-1284	130	15	%	%	NOUN
cana-1284	130	16	with	with	ADP
cana-1284	130	17	1350	1350	NUM
cana-1284	130	18	samples	sample	NOUN
cana-1284	130	19	then	then	ADV
cana-1284	130	20	declines	decline	VERB
cana-1284	130	21	somewhat	somewhat	ADV
cana-1284	130	22	to	to	ADP
cana-1284	130	23	87.5	87.5	NUM
cana-1284	130	24	%	%	NOUN
cana-1284	130	25	with	with	ADP
cana-1284	130	26	1500	1500	NUM
cana-1284	130	27	samples	sample	NOUN
cana-1284	130	28	.	.	PUNCT
cana-1284	131	1	this	this	PRON
cana-1284	131	2	implies	imply	VERB
cana-1284	131	3	that	that	SCONJ
cana-1284	131	4	,	,	PUNCT
cana-1284	131	5	as	as	SCONJ
cana-1284	131	6	the	the	DET
cana-1284	131	7	sample	sample	NOUN
cana-1284	131	8	count	count	NOUN
cana-1284	131	9	rises	rise	NOUN
cana-1284	131	10	,	,	PUNCT
cana-1284	131	11	the	the	DET
cana-1284	131	12	deep	deep	ADJ
cana-1284	131	13	rbf	rbf	PROPN
cana-1284	131	14	network	network	NOUN
cana-1284	131	15	effectively	effectively	ADV
cana-1284	131	16	leverages	leverage	VERB
cana-1284	131	17	additional	additional	ADJ
cana-1284	131	18	data	datum	NOUN
cana-1284	131	19	to	to	PART
cana-1284	131	20	refine	refine	VERB
cana-1284	131	21	its	its	PRON
cana-1284	131	22	predictions	prediction	NOUN
cana-1284	131	23	,	,	PUNCT
cana-1284	131	24	hence	hence	ADV
cana-1284	131	25	keeping	keep	VERB
cana-1284	131	26	high	high	ADJ
cana-1284	131	27	accuracy	accuracy	NOUN
cana-1284	131	28	.	.	PUNCT
cana-1284	132	1	on	on	ADP
cana-1284	132	2	contrast	contrast	NOUN
cana-1284	132	3	,	,	PUNCT
cana-1284	132	4	the	the	DET
cana-1284	132	5	rf	rf	NOUN
cana-1284	132	6	method	method	NOUN
cana-1284	132	7	starts	start	VERB
cana-1284	132	8	with	with	ADP
cana-1284	132	9	an	an	DET
cana-1284	132	10	accuracy	accuracy	NOUN
cana-1284	132	11	of	of	ADP
cana-1284	132	12	81.0	81.0	NUM
cana-1284	132	13	%	%	NOUN
cana-1284	132	14	for	for	ADP
cana-1284	132	15	150	150	NUM
cana-1284	132	16	samples	sample	NOUN
cana-1284	132	17	and	and	CCONJ
cana-1284	132	18	rises	rise	VERB
cana-1284	132	19	to	to	ADP
cana-1284	132	20	82.3	82.3	NUM
cana-1284	132	21	%	%	NOUN
cana-1284	132	22	for	for	ADP
cana-1284	132	23	1500	1500	NUM
cana-1284	132	24	samples	sample	NOUN
cana-1284	132	25	.	.	PUNCT
cana-1284	133	1	especially	especially	ADV
cana-1284	133	2	in	in	ADP
cana-1284	133	3	larger	large	ADJ
cana-1284	133	4	datasets	dataset	NOUN
cana-1284	133	5	,	,	PUNCT
cana-1284	133	6	the	the	DET
cana-1284	133	7	rf	rf	NOUN
cana-1284	133	8	method	method	NOUN
cana-1284	133	9	performs	perform	VERB
cana-1284	133	10	behind	behind	ADP
cana-1284	133	11	the	the	DET
cana-1284	133	12	deep	deep	ADJ
cana-1284	133	13	rbf	rbf	PROPN
cana-1284	133	14	network	network	NOUN
cana-1284	133	15	even	even	ADV
cana-1284	133	16	if	if	SCONJ
cana-1284	133	17	it	it	PRON
cana-1284	133	18	shows	show	VERB
cana-1284	133	19	improvement	improvement	NOUN
cana-1284	133	20	with	with	ADP
cana-1284	133	21	rising	rise	VERB
cana-1284	133	22	sample	sample	NOUN
cana-1284	133	23	count	count	NOUN
cana-1284	133	24	.	.	PUNCT
cana-1284	134	1	the	the	DET
cana-1284	134	2	mlp	mlp	PROPN
cana-1284	134	3	model	model	NOUN
cana-1284	134	4	shows	show	VERB
cana-1284	134	5	a	a	DET
cana-1284	134	6	similar	similar	ADJ
cana-1284	134	7	trend	trend	NOUN
cana-1284	134	8	starting	start	VERB
cana-1284	134	9	at	at	ADP
cana-1284	134	10	84.0	84.0	NUM
cana-1284	134	11	%	%	NOUN
cana-1284	134	12	accuracy	accuracy	NOUN
cana-1284	134	13	with	with	ADP
cana-1284	134	14	150	150	NUM
cana-1284	134	15	samples	sample	NOUN
cana-1284	134	16	and	and	CCONJ
cana-1284	134	17	aiming	aim	VERB
cana-1284	134	18	towards	towards	ADP
cana-1284	134	19	85.1	85.1	NUM
cana-1284	134	20	%	%	NOUN
cana-1284	134	21	with	with	ADP
cana-1284	134	22	1500	1500	NUM
cana-1284	134	23	samples	sample	NOUN
cana-1284	134	24	.	.	PUNCT
cana-1284	135	1	the	the	DET
cana-1284	135	2	mlp	mlp	NOUN
cana-1284	135	3	's	's	PART
cana-1284	135	4	accuracy	accuracy	NOUN
cana-1284	135	5	is	be	AUX
cana-1284	135	6	better	well	ADJ
cana-1284	135	7	than	than	SCONJ
cana-1284	135	8	rf	rf	ADJ
cana-1284	135	9	even	even	ADV
cana-1284	135	10	if	if	SCONJ
cana-1284	135	11	it	it	PRON
cana-1284	135	12	does	do	AUX
cana-1284	135	13	not	not	PART
cana-1284	135	14	match	match	VERB
cana-1284	135	15	the	the	DET
cana-1284	135	16	performance	performance	NOUN
cana-1284	135	17	of	of	ADP
cana-1284	135	18	the	the	DET
cana-1284	135	19	deep	deep	ADJ
cana-1284	135	20	rbf	rbf	PROPN
cana-1284	135	21	network	network	PROPN
cana-1284	135	22	.	.	PUNCT
cana-1284	136	1	fim	fim	PROPN
cana-1284	136	2	starts	start	VERB
cana-1284	136	3	with	with	ADP
cana-1284	136	4	78.5	78.5	NUM
cana-1284	136	5	%	%	NOUN
cana-1284	136	6	accuracy	accuracy	NOUN
cana-1284	136	7	and	and	CCONJ
cana-1284	136	8	shows	show	VERB
cana-1284	136	9	no	no	DET
cana-1284	136	10	change	change	NOUN
cana-1284	136	11	to	to	PART
cana-1284	136	12	reach	reach	VERB
cana-1284	136	13	78.9	78.9	NUM
cana-1284	136	14	%	%	NOUN
cana-1284	136	15	at	at	ADP
cana-1284	136	16	1500	1500	NUM
cana-1284	136	17	samples	sample	NOUN
cana-1284	136	18	using	use	VERB
cana-1284	136	19	its	its	PRON
cana-1284	136	20	simplified	simplified	ADJ
cana-1284	136	21	technique	technique	NOUN
cana-1284	136	22	.	.	PUNCT
cana-1284	137	1	this	this	DET
cana-1284	137	2	lower	low	ADJ
cana-1284	137	3	accuracy	accuracy	NOUN
cana-1284	137	4	reflects	reflect	VERB
cana-1284	137	5	fim	fim	NOUN
cana-1284	137	6	's	's	PART
cana-1284	137	7	inadequacies	inadequacy	NOUN
cana-1284	137	8	in	in	ADP
cana-1284	137	9	handling	handle	VERB
cana-1284	137	10	challenging	challenge	VERB
cana-1284	137	11	classification	classification	NOUN
cana-1284	137	12	tasks	task	NOUN
cana-1284	137	13	in	in	ADP
cana-1284	137	14	relation	relation	NOUN
cana-1284	137	15	to	to	ADP
cana-1284	137	16	more	more	ADV
cana-1284	137	17	advanced	advanced	ADJ
cana-1284	137	18	methods	method	NOUN
cana-1284	137	19	such	such	ADJ
cana-1284	137	20	as	as	ADP
cana-1284	137	21	deep	deep	ADJ
cana-1284	137	22	rbf	rbf	PROPN
cana-1284	137	23	.	.	PUNCT
cana-1284	138	1	less	less	ADJ
cana-1284	138	2	prediction	prediction	NOUN
cana-1284	138	3	errors	error	NOUN
cana-1284	138	4	mean	mean	VERB
cana-1284	138	5	a	a	DET
cana-1284	138	6	smaller	small	ADJ
cana-1284	138	7	rmse	rmse	NOUN
cana-1284	138	8	indicates	indicate	VERB
cana-1284	138	9	better	well	ADJ
cana-1284	138	10	performance	performance	NOUN
cana-1284	138	11	.	.	PUNCT
cana-1284	139	1	starting	start	VERB
cana-1284	139	2	at	at	ADP
cana-1284	139	3	0.37	0.37	NUM
cana-1284	139	4	with	with	ADP
cana-1284	139	5	150	150	NUM
cana-1284	139	6	samples	sample	NOUN
cana-1284	139	7	,	,	PUNCT
cana-1284	139	8	rmse	rmse	NOUN
cana-1284	139	9	for	for	SCONJ
cana-1284	139	10	the	the	DET
cana-1284	139	11	deep	deep	ADJ
cana-1284	139	12	rbf	rbf	PROPN
cana-1284	139	13	network	network	PROPN
cana-1284	139	14	falls	fall	VERB
cana-1284	139	15	to	to	ADP
cana-1284	139	16	0.30	0.30	NUM
cana-1284	139	17	with	with	ADP
cana-1284	139	18	1200	1200	NUM
cana-1284	139	19	samples	sample	NOUN
cana-1284	139	20	,	,	PUNCT
cana-1284	139	21	then	then	ADV
cana-1284	139	22	rather	rather	ADV
cana-1284	139	23	rises	rise	VERB
cana-1284	139	24	to	to	ADP
cana-1284	139	25	0.35	0.35	NUM
cana-1284	139	26	at	at	ADP
cana-1284	139	27	1500	1500	NUM
cana-1284	139	28	samples	sample	NOUN
cana-1284	139	29	.	.	PUNCT
cana-1284	140	1	since	since	SCONJ
cana-1284	140	2	the	the	DET
cana-1284	140	3	deep	deep	ADJ
cana-1284	140	4	rbf	rbf	PROPN
cana-1284	140	5	network	network	NOUN
cana-1284	140	6	gets	get	AUX
cana-1284	140	7	decreasing	decrease	VERB
cana-1284	140	8	rmse	rmse	NOUN
cana-1284	140	9	with	with	ADP
cana-1284	140	10	additional	additional	ADJ
cana-1284	140	11	datasets	dataset	NOUN
cana-1284	140	12	,	,	PUNCT
cana-1284	140	13	this	this	DET
cana-1284	140	14	pattern	pattern	NOUN
cana-1284	140	15	shows	show	VERB
cana-1284	140	16	less	less	ADJ
cana-1284	140	17	error	error	NOUN
cana-1284	140	18	and	and	CCONJ
cana-1284	140	19	more	more	ADJ
cana-1284	140	20	accuracy	accuracy	NOUN
cana-1284	140	21	in	in	ADP
cana-1284	140	22	its	its	PRON
cana-1284	140	23	predictions	prediction	NOUN
cana-1284	140	24	.	.	PUNCT
cana-1284	141	1	rf	rf	NOUN
cana-1284	141	2	shows	show	VERB
cana-1284	141	3	slow	slow	ADJ
cana-1284	141	4	improvement	improvement	NOUN
cana-1284	141	5	from	from	ADP
cana-1284	141	6	an	an	DET
cana-1284	141	7	rmse	rmse	NOUN
cana-1284	141	8	of	of	ADP
cana-1284	141	9	0.47	0.47	NUM
cana-1284	141	10	to	to	PART
cana-1284	141	11	reach	reach	VERB
cana-1284	141	12	0.45	0.45	NUM
cana-1284	141	13	utilizing	utilize	VERB
cana-1284	141	14	1500	1500	NUM
cana-1284	141	15	samples	sample	NOUN
cana-1284	141	16	.	.	PUNCT
cana-1284	142	1	reflecting	reflect	VERB
cana-1284	142	2	more	more	ADJ
cana-1284	142	3	prediction	prediction	NOUN
cana-1284	142	4	mistakes	mistake	NOUN
cana-1284	142	5	,	,	PUNCT
cana-1284	142	6	rf	rf	PRON
cana-1284	142	7	improves	improve	VERB
cana-1284	142	8	but	but	CCONJ
cana-1284	142	9	routinely	routinely	ADV
cana-1284	142	10	has	have	VERB
cana-1284	142	11	a	a	DET
cana-1284	142	12	higher	high	ADJ
cana-1284	142	13	rmse	rmse	NOUN
cana-1284	142	14	than	than	ADP
cana-1284	142	15	the	the	DET
cana-1284	142	16	deep	deep	ADJ
cana-1284	142	17	rbf	rbf	PROPN
cana-1284	142	18	network	network	NOUN
cana-1284	142	19	.	.	PUNCT
cana-1284	143	1	using	use	VERB
cana-1284	143	2	1500	1500	NUM
cana-1284	143	3	samples	sample	NOUN
cana-1284	143	4	,	,	PUNCT
cana-1284	143	5	mlp	mlp	NOUN
cana-1284	143	6	increases	increase	NOUN
cana-1284	143	7	starting	start	VERB
cana-1284	143	8	with	with	ADP
cana-1284	143	9	0.41	0.41	NUM
cana-1284	143	10	rmse	rmse	NOUN
cana-1284	143	11	to	to	ADP
cana-1284	143	12	0.40	0.40	NUM
cana-1284	143	13	.	.	PUNCT
cana-1284	144	1	though	though	SCONJ
cana-1284	144	2	it	it	PRON
cana-1284	144	3	falls	fall	VERB
cana-1284	144	4	short	short	ADV
cana-1284	144	5	of	of	ADP
cana-1284	144	6	deep	deep	ADJ
cana-1284	144	7	rbf	rbf	PROPN
cana-1284	144	8	's	's	PART
cana-1284	144	9	precision	precision	NOUN
cana-1284	144	10	,	,	PUNCT
cana-1284	144	11	the	the	DET
cana-1284	144	12	mlp	mlp	NOUN
cana-1284	144	13	's	's	PART
cana-1284	144	14	rmse	rmse	NOUN
cana-1284	144	15	is	be	AUX
cana-1284	144	16	smaller	small	ADJ
cana-1284	144	17	than	than	ADP
cana-1284	144	18	rf	rf	ADJ
cana-1284	144	19	,	,	PUNCT
cana-1284	144	20	thus	thus	ADV
cana-1284	144	21	it	it	PRON
cana-1284	144	22	displays	display	VERB
cana-1284	144	23	rather	rather	ADV
cana-1284	144	24	better	well	ADJ
cana-1284	144	25	performance	performance	NOUN
cana-1284	144	26	than	than	ADP
cana-1284	144	27	deep	deep	ADJ
cana-1284	144	28	rbf	rbf	PROPN
cana-1284	144	29	's	's	PART
cana-1284	144	30	.	.	PUNCT
cana-1284	145	1	with	with	ADP
cana-1284	145	2	1500	1500	NUM
cana-1284	145	3	samples	sample	NOUN
cana-1284	145	4	,	,	PUNCT
cana-1284	145	5	fim	fim	X
cana-1284	145	6	has	have	VERB
cana-1284	145	7	the	the	DET
cana-1284	145	8	best	good	ADJ
cana-1284	145	9	rmse	rmse	ADJ
cana-1284	145	10	values	value	NOUN
cana-1284	145	11	starting	start	VERB
cana-1284	145	12	at	at	ADP
cana-1284	145	13	0.56	0.56	NUM
cana-1284	145	14	and	and	CCONJ
cana-1284	145	15	falling	fall	VERB
cana-1284	145	16	marginally	marginally	ADV
cana-1284	145	17	to	to	ADP
cana-1284	145	18	0.55	0.55	NUM
cana-1284	145	19	.	.	PUNCT
cana-1284	146	1	this	this	DET
cana-1284	146	2	large	large	ADJ
cana-1284	146	3	rmse	rmse	NOUN
cana-1284	146	4	highlights	highlight	NOUN
cana-1284	146	5	fim	fim	NOUN
cana-1284	146	6	's	's	PART
cana-1284	146	7	weaker	weak	ADJ
cana-1284	146	8	capacity	capacity	NOUN
cana-1284	146	9	than	than	ADP
cana-1284	146	10	the	the	DET
cana-1284	146	11	other	other	ADJ
cana-1284	146	12	methods	method	NOUN
cana-1284	146	13	to	to	PART
cana-1284	146	14	reduce	reduce	VERB
cana-1284	146	15	prediction	prediction	NOUN
cana-1284	146	16	errors	error	NOUN
cana-1284	146	17	.	.	PUNCT
cana-1284	147	1	lower	low	ADJ
cana-1284	147	2	mae	mae	PROPN
cana-1284	147	3	points	point	NOUN
cana-1284	147	4	to	to	ADP
cana-1284	147	5	better	well	ADJ
cana-1284	147	6	performance	performance	NOUN
cana-1284	147	7	.	.	PUNCT
cana-1284	148	1	the	the	DET
cana-1284	148	2	deep	deep	PROPN
cana-1284	148	3	rbf	rbf	PROPN
cana-1284	148	4	network	network	NOUN
cana-1284	148	5	performs	perform	VERB
cana-1284	148	6	with	with	ADP
cana-1284	148	7	150	150	NUM
cana-1284	148	8	samples	sample	NOUN
cana-1284	148	9	an	an	DET
cana-1284	148	10	mae	mae	NOUN
cana-1284	148	11	of	of	ADP
cana-1284	148	12	0.28	0.28	NUM
cana-1284	148	13	;	;	PUNCT
cana-1284	148	14	it	it	PRON
cana-1284	148	15	improves	improve	VERB
cana-1284	148	16	to	to	ADP
cana-1284	148	17	0.21	0.21	NUM
cana-1284	148	18	with	with	ADP
cana-1284	148	19	1350	1350	NUM
cana-1284	148	20	samples	sample	NOUN
cana-1284	148	21	;	;	PUNCT
cana-1284	148	22	and	and	CCONJ
cana-1284	148	23	it	it	PRON
cana-1284	148	24	somewhat	somewhat	ADV
cana-1284	148	25	increases	increase	VERB
cana-1284	148	26	to	to	ADP
cana-1284	148	27	0.25	0.25	NUM
cana-1284	148	28	with	with	ADP
cana-1284	148	29	1500	1500	NUM
cana-1284	148	30	samples	sample	NOUN
cana-1284	148	31	.	.	PUNCT
cana-1284	149	1	reflecting	reflect	VERB
cana-1284	149	2	its	its	PRON
cana-1284	149	3	greater	great	ADJ
cana-1284	149	4	ability	ability	NOUN
cana-1284	149	5	to	to	PART
cana-1284	149	6	generate	generate	VERB
cana-1284	149	7	accurate	accurate	ADJ
cana-1284	149	8	predictions	prediction	NOUN
cana-1284	149	9	,	,	PUNCT
cana-1284	149	10	this	this	DET
cana-1284	149	11	pattern	pattern	NOUN
cana-1284	149	12	reveals	reveal	VERB
cana-1284	149	13	that	that	SCONJ
cana-1284	149	14	typically	typically	ADV
cana-1284	149	15	with	with	ADP
cana-1284	149	16	more	more	ADJ
cana-1284	149	17	data	datum	NOUN
cana-1284	149	18	the	the	DET
cana-1284	149	19	deep	deep	ADJ
cana-1284	149	20	rbf	rbf	PROPN
cana-1284	149	21	network	network	NOUN
cana-1284	149	22	has	have	VERB
cana-1284	149	23	a	a	DET
cana-1284	149	24	lower	low	ADJ
cana-1284	149	25	mae	mae	PROPN
cana-1284	150	1	.	.	PUNCT
cana-1284	150	2	rf	rf	PROPN
cana-1284	150	3	's	's	PART
cana-1284	150	4	mae	mae	PROPN
cana-1284	150	5	starts	start	VERB
cana-1284	150	6	at	at	ADP
cana-1284	150	7	0.35	0.35	NUM
cana-1284	150	8	and	and	CCONJ
cana-1284	150	9	increases	increase	VERB
cana-1284	150	10	somewhat	somewhat	ADV
cana-1284	150	11	slightly	slightly	ADV
cana-1284	150	12	to	to	ADP
cana-1284	150	13	0.38	0.38	NUM
cana-1284	150	14	with	with	ADP
cana-1284	150	15	1500	1500	NUM
cana-1284	150	16	samples	sample	NOUN
cana-1284	150	17	.	.	PUNCT
cana-1284	151	1	6	6	X
cana-1284	151	2	.	.	X
cana-1284	151	3	conclusion	conclusion	NOUN
cana-1284	151	4	rbf	rbf	PROPN
cana-1284	151	5	network	network	PROPN
cana-1284	151	6	shows	show	VERB
cana-1284	151	7	greater	great	ADJ
cana-1284	151	8	performance	performance	NOUN
cana-1284	151	9	over	over	ADP
cana-1284	151	10	multiple	multiple	ADJ
cana-1284	151	11	sample	sample	NOUN
cana-1284	151	12	sizes	size	NOUN
cana-1284	151	13	than	than	ADP
cana-1284	151	14	current	current	ADJ
cana-1284	151	15	methods	method	NOUN
cana-1284	151	16	including	include	VERB
cana-1284	151	17	rf	rf	NOUN
cana-1284	151	18	,	,	PUNCT
cana-1284	151	19	mlp	mlp	NOUN
cana-1284	151	20	,	,	PUNCT
cana-1284	151	21	and	and	CCONJ
cana-1284	151	22	fim	fim	NOUN
cana-1284	151	23	.	.	PUNCT
cana-1284	152	1	deep	deep	ADJ
cana-1284	152	2	rbf	rbf	PROPN
cana-1284	152	3	network	network	NOUN
cana-1284	152	4	frequently	frequently	ADV
cana-1284	152	5	achieves	achieve	VERB
cana-1284	152	6	lower	low	ADJ
cana-1284	152	7	mean	mean	ADJ
cana-1284	152	8	absolute	absolute	ADJ
cana-1284	152	9	error	error	NOUN
cana-1284	152	10	(	(	PUNCT
cana-1284	152	11	mae	mae	PROPN
cana-1284	152	12	)	)	PUNCT
cana-1284	152	13	,	,	PUNCT
cana-1284	152	14	lower	low	ADJ
cana-1284	152	15	communications	communication	NOUN
cana-1284	152	16	on	on	ADP
cana-1284	152	17	applied	apply	VERB
cana-1284	152	18	nonlinear	nonlinear	ADJ
cana-1284	152	19	analysis	analysis	NOUN
cana-1284	152	20	issn	issn	NOUN
cana-1284	152	21	:	:	PUNCT
cana-1284	152	22	1074	1074	NUM
cana-1284	152	23	-	-	PUNCT
cana-1284	152	24	133x	133x	NUM
cana-1284	152	25	vol	vol	NOUN
cana-1284	152	26	31	31	NUM
cana-1284	152	27	no	no	NOUN
cana-1284	152	28	.	.	PUNCT
cana-1284	153	1	7s	7	NOUN
cana-1284	153	2	(	(	PUNCT
cana-1284	153	3	2024	2024	NUM
cana-1284	153	4	)	)	PUNCT
cana-1284	154	1	65	65	NUM
cana-1284	154	2	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1284	154	3	root	root	NOUN
cana-1284	154	4	mean	mean	VERB
cana-1284	154	5	square	square	ADJ
cana-1284	154	6	error	error	NOUN
cana-1284	154	7	(	(	PUNCT
cana-1284	154	8	rmse	rmse	NOUN
cana-1284	154	9	)	)	PUNCT
cana-1284	154	10	,	,	PUNCT
cana-1284	154	11	and	and	CCONJ
cana-1284	154	12	improved	improved	ADJ
cana-1284	154	13	accuracy	accuracy	NOUN
cana-1284	154	14	for	for	ADP
cana-1284	154	15	datasets	dataset	NOUN
cana-1284	154	16	spanning	span	VERB
cana-1284	154	17	150	150	NUM
cana-1284	154	18	to	to	PART
cana-1284	154	19	1500	1500	NUM
cana-1284	154	20	samples	sample	NOUN
cana-1284	154	21	.	.	PUNCT
cana-1284	155	1	keeping	keep	VERB
cana-1284	155	2	high	high	ADJ
cana-1284	155	3	accuracy	accuracy	NOUN
cana-1284	155	4	(	(	PUNCT
cana-1284	155	5	up	up	ADP
cana-1284	155	6	to	to	PART
cana-1284	155	7	88.7	88.7	NUM
cana-1284	155	8	%	%	NOUN
cana-1284	155	9	)	)	PUNCT
cana-1284	155	10	,	,	PUNCT
cana-1284	155	11	low	low	ADJ
cana-1284	155	12	rmse	rmse	NOUN
cana-1284	155	13	(	(	PUNCT
cana-1284	155	14	down	down	ADP
cana-1284	155	15	to	to	ADP
cana-1284	155	16	0.30	0.30	NUM
cana-1284	155	17	)	)	PUNCT
cana-1284	155	18	,	,	PUNCT
cana-1284	155	19	and	and	CCONJ
cana-1284	155	20	low	low	ADJ
cana-1284	155	21	mae	mae	PROPN
cana-1284	155	22	(	(	PUNCT
cana-1284	155	23	as	as	ADV
cana-1284	155	24	low	low	ADJ
cana-1284	155	25	as	as	ADP
cana-1284	155	26	0.21	0.21	NUM
cana-1284	155	27	)	)	PUNCT
cana-1284	155	28	helps	help	VERB
cana-1284	155	29	it	it	PRON
cana-1284	155	30	significantly	significantly	ADV
cana-1284	155	31	minimize	minimize	VERB
cana-1284	155	32	prediction	prediction	NOUN
cana-1284	155	33	errors	error	NOUN
cana-1284	155	34	and	and	CCONJ
cana-1284	155	35	capture	capture	VERB
cana-1284	155	36	complex	complex	ADJ
cana-1284	155	37	relationships	relationship	NOUN
cana-1284	155	38	.	.	PUNCT
cana-1284	156	1	rf	rf	VERB
cana-1284	156	2	,	,	PUNCT
cana-1284	156	3	mlp	mlp	NOUN
cana-1284	156	4	,	,	PUNCT
cana-1284	156	5	fim	fim	NOUN
cana-1284	156	6	,	,	PUNCT
cana-1284	156	7	and	and	CCONJ
cana-1284	156	8	other	other	ADJ
cana-1284	156	9	relative	relative	NOUN
cana-1284	156	10	to	to	ADP
cana-1284	156	11	accuracy	accuracy	NOUN
cana-1284	156	12	have	have	VERB
cana-1284	156	13	rather	rather	ADV
cana-1284	156	14	lower	low	ADJ
cana-1284	156	15	error	error	NOUN
cana-1284	156	16	measurements	measurement	NOUN
cana-1284	156	17	.	.	PUNCT
cana-1284	157	1	rf	rf	PRON
cana-1284	157	2	and	and	CCONJ
cana-1284	157	3	mlp	mlp	PROPN
cana-1284	157	4	demonstrate	demonstrate	VERB
cana-1284	157	5	gains	gain	NOUN
cana-1284	157	6	on	on	ADP
cana-1284	157	7	larger	large	ADJ
cana-1284	157	8	datasets	dataset	NOUN
cana-1284	157	9	even	even	ADV
cana-1284	157	10	if	if	SCONJ
cana-1284	157	11	they	they	PRON
cana-1284	157	12	still	still	ADV
cana-1284	157	13	trail	trail	VERB
cana-1284	157	14	the	the	DET
cana-1284	157	15	deep	deep	ADJ
cana-1284	157	16	rbf	rbf	PROPN
cana-1284	157	17	network	network	PROPN
cana-1284	157	18	.	.	PUNCT
cana-1284	158	1	fim	fim	PROPN
cana-1284	158	2	performs	perform	VERB
cana-1284	158	3	rather	rather	ADV
cana-1284	158	4	badly	badly	ADV
cana-1284	158	5	with	with	ADP
cana-1284	158	6	less	less	ADJ
cana-1284	158	7	development	development	NOUN
cana-1284	158	8	in	in	ADP
cana-1284	158	9	accuracy	accuracy	NOUN
cana-1284	158	10	and	and	CCONJ
cana-1284	158	11	increased	increase	VERB
cana-1284	158	12	mistake	mistake	NOUN
cana-1284	158	13	rates	rate	NOUN
cana-1284	158	14	.	.	PUNCT
cana-1284	159	1	these	these	DET
cana-1284	159	2	results	result	NOUN
cana-1284	159	3	show	show	VERB
cana-1284	159	4	the	the	DET
cana-1284	159	5	stability	stability	NOUN
cana-1284	159	6	and	and	CCONJ
cana-1284	159	7	effectiveness	effectiveness	NOUN
cana-1284	159	8	of	of	ADP
cana-1284	159	9	the	the	DET
cana-1284	159	10	deep	deep	ADJ
cana-1284	159	11	rbf	rbf	PROPN
cana-1284	159	12	network	network	NOUN
cana-1284	159	13	in	in	ADP
cana-1284	159	14	handling	handle	VERB
cana-1284	159	15	different	different	ADJ
cana-1284	159	16	and	and	CCONJ
cana-1284	159	17	expanding	expand	VERB
cana-1284	159	18	data	datum	NOUN
cana-1284	159	19	sizes	size	NOUN
cana-1284	159	20	,	,	PUNCT
cana-1284	159	21	therefore	therefore	ADV
cana-1284	159	22	making	make	VERB
cana-1284	159	23	it	it	PRON
cana-1284	159	24	a	a	DET
cana-1284	159	25	more	more	ADV
cana-1284	159	26	trustworthy	trustworthy	ADJ
cana-1284	159	27	choice	choice	NOUN
cana-1284	159	28	for	for	ADP
cana-1284	159	29	classification	classification	NOUN
cana-1284	159	30	challenges	challenge	NOUN
cana-1284	159	31	.	.	PUNCT
cana-1284	160	1	references	reference	NOUN
cana-1284	160	2	[	[	X
cana-1284	160	3	1	1	NUM
cana-1284	160	4	]	]	X
cana-1284	160	5	basha	basha	PROPN
cana-1284	160	6	,	,	PUNCT
cana-1284	160	7	m.	m.	PROPN
cana-1284	160	8	s.	s.	PROPN
cana-1284	160	9	a.	a.	PROPN
cana-1284	160	10	,	,	PUNCT
cana-1284	160	11	raju	raju	PROPN
cana-1284	160	12	,	,	PUNCT
cana-1284	160	13	r.	r.	PROPN
cana-1284	160	14	p.	p.	PROPN
cana-1284	160	15	k.	k.	PROPN
cana-1284	160	16	,	,	PUNCT
cana-1284	160	17	oveis	oveis	PROPN
cana-1284	160	18	,	,	PUNCT
cana-1284	160	19	p.	p.	NOUN
cana-1284	160	20	m.	m.	NOUN
cana-1284	160	21	,	,	PUNCT
cana-1284	160	22	&	&	CCONJ
cana-1284	160	23	sarim	sarim	PROPN
cana-1284	160	24	,	,	PUNCT
cana-1284	160	25	m.	m.	NOUN
cana-1284	160	26	(	(	PUNCT
cana-1284	160	27	2023	2023	NUM
cana-1284	160	28	,	,	PUNCT
cana-1284	160	29	november	november	PROPN
cana-1284	160	30	)	)	PUNCT
cana-1284	160	31	.	.	PUNCT
cana-1284	161	1	unraveling	unravel	VERB
cana-1284	161	2	campus	campus	NOUN
cana-1284	161	3	placement	placement	NOUN
cana-1284	161	4	success	success	NOUN
cana-1284	161	5	integrating	integrate	VERB
cana-1284	161	6	exploratory	exploratory	ADJ
cana-1284	161	7	insights	insight	NOUN
cana-1284	161	8	with	with	ADP
cana-1284	161	9	predictive	predictive	ADJ
cana-1284	161	10	machine	machine	NOUN
cana-1284	161	11	learning	learning	NOUN
cana-1284	161	12	models	model	NOUN
cana-1284	161	13	.	.	PUNCT
cana-1284	162	1	in	in	ADP
cana-1284	162	2	2023	2023	NUM
cana-1284	162	3	7th	7th	ADJ
cana-1284	162	4	international	international	ADJ
cana-1284	162	5	conference	conference	NOUN
cana-1284	162	6	on	on	ADP
cana-1284	162	7	computation	computation	NOUN
cana-1284	162	8	system	system	NOUN
cana-1284	162	9	and	and	CCONJ
cana-1284	162	10	information	information	NOUN
cana-1284	162	11	technology	technology	NOUN
cana-1284	162	12	for	for	ADP
cana-1284	162	13	sustainable	sustainable	ADJ
cana-1284	162	14	solutions	solution	NOUN
cana-1284	162	15	(	(	PUNCT
cana-1284	162	16	csitss	csitss	NOUN
cana-1284	162	17	)	)	PUNCT
cana-1284	162	18	(	(	PUNCT
cana-1284	162	19	pp	pp	X
cana-1284	162	20	.	.	PUNCT
cana-1284	163	1	1	1	NUM
cana-1284	163	2	-	-	SYM
cana-1284	163	3	6	6	NUM
cana-1284	163	4	)	)	PUNCT
cana-1284	163	5	.	.	PUNCT
cana-1284	164	1	ieee	ieee	NOUN
cana-1284	164	2	.	.	PUNCT
cana-1284	165	1	[	[	X
cana-1284	165	2	2	2	NUM
cana-1284	165	3	]	]	X
cana-1284	165	4	saravanan	saravanan	PROPN
cana-1284	165	5	,	,	PUNCT
cana-1284	165	6	v.	v.	PROPN
cana-1284	165	7	,	,	PUNCT
cana-1284	165	8	madiajagan	madiajagan	NOUN
cana-1284	165	9	,	,	PUNCT
cana-1284	165	10	m.	m.	NOUN
cana-1284	165	11	,	,	PUNCT
cana-1284	165	12	rafee	rafee	PROPN
cana-1284	165	13	,	,	PUNCT
cana-1284	165	14	s.	s.	PROPN
cana-1284	165	15	m.	m.	PROPN
cana-1284	165	16	,	,	PUNCT
cana-1284	165	17	sanju	sanju	PROPN
cana-1284	165	18	,	,	PUNCT
cana-1284	165	19	p.	p.	PROPN
cana-1284	165	20	,	,	PUNCT
cana-1284	165	21	rehman	rehman	PROPN
cana-1284	165	22	,	,	PUNCT
cana-1284	165	23	t.	t.	PROPN
cana-1284	165	24	b.	b.	PROPN
cana-1284	165	25	,	,	PUNCT
cana-1284	165	26	&	&	CCONJ
cana-1284	165	27	pattanaik	pattanaik	PROPN
cana-1284	165	28	,	,	PUNCT
cana-1284	165	29	b.	b.	PROPN
cana-1284	165	30	(	(	PUNCT
cana-1284	165	31	2024	2024	NUM
cana-1284	165	32	)	)	PUNCT
cana-1284	165	33	.	.	PUNCT
cana-1284	166	1	iot	iot	PROPN
cana-1284	166	2	-	-	PUNCT
cana-1284	166	3	based	base	VERB
cana-1284	166	4	blockchain	blockchain	PROPN
cana-1284	166	5	intrusion	intrusion	PROPN
cana-1284	166	6	detection	detection	NOUN
cana-1284	166	7	using	use	VERB
cana-1284	166	8	optimized	optimize	VERB
cana-1284	166	9	recurrent	recurrent	ADJ
cana-1284	166	10	neural	neural	ADJ
cana-1284	166	11	network	network	NOUN
cana-1284	166	12	.	.	PUNCT
cana-1284	167	1	multimedia	multimedia	NOUN
cana-1284	167	2	tools	tool	NOUN
cana-1284	167	3	and	and	CCONJ
cana-1284	167	4	applications	application	NOUN
cana-1284	167	5	,	,	PUNCT
cana-1284	167	6	83(11	83(11	NUM
cana-1284	167	7	)	)	PUNCT
cana-1284	167	8	,	,	PUNCT
cana-1284	167	9	3150531526	3150531526	NUM
cana-1284	167	10	.	.	PUNCT
cana-1284	168	1	[	[	X
cana-1284	168	2	3	3	NUM
cana-1284	168	3	]	]	X
cana-1284	168	4	dhanasekaran	dhanasekaran	NUM
cana-1284	168	5	,	,	PUNCT
cana-1284	168	6	s.	s.	PROPN
cana-1284	168	7	,	,	PUNCT
cana-1284	168	8	rajput	rajput	PROPN
cana-1284	168	9	,	,	PUNCT
cana-1284	168	10	k.	k.	PROPN
cana-1284	168	11	,	,	PUNCT
cana-1284	168	12	yuvaraj	yuvaraj	PROPN
cana-1284	168	13	,	,	PUNCT
cana-1284	168	14	n.	n.	PROPN
cana-1284	168	15	,	,	PUNCT
cana-1284	168	16	aeri	aeri	PROPN
cana-1284	168	17	,	,	PUNCT
cana-1284	168	18	m.	m.	NOUN
cana-1284	168	19	,	,	PUNCT
cana-1284	168	20	shukla	shukla	NOUN
cana-1284	168	21	,	,	PUNCT
cana-1284	168	22	r.	r.	PROPN
cana-1284	168	23	p.	p.	PROPN
cana-1284	168	24	,	,	PUNCT
cana-1284	168	25	&	&	CCONJ
cana-1284	168	26	singh	singh	PROPN
cana-1284	168	27	,	,	PUNCT
cana-1284	168	28	s.	s.	PROPN
cana-1284	168	29	k.	k.	PROPN
cana-1284	168	30	(	(	PUNCT
cana-1284	168	31	2024	2024	NUM
cana-1284	168	32	,	,	PUNCT
cana-1284	168	33	may	may	AUX
cana-1284	168	34	)	)	PUNCT
cana-1284	168	35	.	.	PUNCT
cana-1284	169	1	utilizing	utilize	VERB
cana-1284	169	2	cloud	cloud	NOUN
cana-1284	169	3	computing	computing	NOUN
cana-1284	169	4	for	for	ADP
cana-1284	169	5	distributed	distributed	ADJ
cana-1284	169	6	training	training	NOUN
cana-1284	169	7	of	of	ADP
cana-1284	169	8	deep	deep	ADJ
cana-1284	169	9	learning	learning	NOUN
cana-1284	169	10	models	model	NOUN
cana-1284	169	11	.	.	PUNCT
cana-1284	170	1	in	in	ADP
cana-1284	170	2	2024	2024	NUM
cana-1284	170	3	second	second	ADJ
cana-1284	170	4	international	international	ADJ
cana-1284	170	5	conference	conference	NOUN
cana-1284	170	6	on	on	ADP
cana-1284	170	7	data	datum	NOUN
cana-1284	170	8	science	science	NOUN
cana-1284	170	9	and	and	CCONJ
cana-1284	170	10	information	information	NOUN
cana-1284	170	11	system	system	NOUN
cana-1284	170	12	(	(	PUNCT
cana-1284	170	13	icdsis	icdsis	NOUN
cana-1284	170	14	)	)	PUNCT
cana-1284	170	15	(	(	PUNCT
cana-1284	170	16	pp	pp	X
cana-1284	170	17	.	.	PUNCT
cana-1284	171	1	1	1	NUM
cana-1284	171	2	-	-	SYM
cana-1284	171	3	6	6	NUM
cana-1284	171	4	)	)	PUNCT
cana-1284	171	5	.	.	PUNCT
cana-1284	172	1	ieee	ieee	NOUN
cana-1284	172	2	.	.	PUNCT
cana-1284	173	1	[	[	X
cana-1284	173	2	4	4	NUM
cana-1284	173	3	]	]	X
cana-1284	173	4	zayed	zaye	VERB
cana-1284	173	5	,	,	PUNCT
cana-1284	173	6	y.	y.	PROPN
cana-1284	173	7	,	,	PUNCT
cana-1284	173	8	salman	salman	PROPN
cana-1284	173	9	,	,	PUNCT
cana-1284	173	10	y.	y.	PROPN
cana-1284	173	11	,	,	PUNCT
cana-1284	173	12	awad	awad	PROPN
cana-1284	173	13	,	,	PUNCT
cana-1284	173	14	m.	m.	NOUN
cana-1284	173	15	,	,	PUNCT
cana-1284	173	16	&	&	CCONJ
cana-1284	173	17	hasasneh	hasasneh	PROPN
cana-1284	173	18	,	,	PUNCT
cana-1284	173	19	a.	a.	NOUN
cana-1284	173	20	(	(	PUNCT
cana-1284	173	21	2023	2023	NUM
cana-1284	173	22	)	)	PUNCT
cana-1284	173	23	.	.	PUNCT
cana-1284	174	1	employment	employment	NOUN
cana-1284	174	2	recommendation	recommendation	NOUN
cana-1284	174	3	system	system	NOUN
cana-1284	174	4	for	for	ADP
cana-1284	174	5	graduates	graduate	NOUN
cana-1284	174	6	using	use	VERB
cana-1284	174	7	machine	machine	NOUN
cana-1284	174	8	learning	learning	NOUN
cana-1284	174	9	.	.	PUNCT
cana-1284	175	1	international	international	ADJ
cana-1284	175	2	journal	journal	PROPN
cana-1284	175	3	on	on	ADP
cana-1284	175	4	engineering	engineering	NOUN
cana-1284	175	5	applications	application	NOUN
cana-1284	175	6	,	,	PUNCT
cana-1284	175	7	11(5	11(5	NUM
cana-1284	175	8	)	)	PUNCT
cana-1284	175	9	.	.	PUNCT
cana-1284	176	1	[	[	X
cana-1284	176	2	5	5	X
cana-1284	176	3	]	]	PUNCT
cana-1284	176	4	ahmed	ahmed	PROPN
cana-1284	176	5	,	,	PUNCT
cana-1284	176	6	w.	w.	PROPN
cana-1284	176	7	(	(	PUNCT
cana-1284	176	8	2023	2023	NUM
cana-1284	176	9	)	)	PUNCT
cana-1284	176	10	.	.	PUNCT
cana-1284	177	1	understanding	understand	VERB
cana-1284	177	2	self	self	NOUN
cana-1284	177	3	-	-	PUNCT
cana-1284	177	4	directed	direct	VERB
cana-1284	177	5	learning	learn	VERB
cana-1284	177	6	behavior	behavior	NOUN
cana-1284	177	7	towards	towards	ADP
cana-1284	177	8	digital	digital	ADJ
cana-1284	177	9	competence	competence	NOUN
cana-1284	177	10	among	among	ADP
cana-1284	177	11	business	business	NOUN
cana-1284	177	12	research	research	NOUN
cana-1284	177	13	students	student	NOUN
cana-1284	177	14	:	:	PUNCT
cana-1284	177	15	sem	sem	ADJ
cana-1284	177	16	-	-	PUNCT
cana-1284	177	17	neural	neural	ADJ
cana-1284	177	18	analysis	analysis	NOUN
cana-1284	177	19	.	.	PUNCT
cana-1284	178	1	education	education	NOUN
cana-1284	178	2	and	and	CCONJ
cana-1284	178	3	information	information	NOUN
cana-1284	178	4	technologies	technology	NOUN
cana-1284	178	5	,	,	PUNCT
cana-1284	178	6	28(4	28(4	NUM
cana-1284	178	7	)	)	PUNCT
cana-1284	178	8	,	,	PUNCT
cana-1284	178	9	4173	4173	NUM
cana-1284	178	10	-	-	SYM
cana-1284	178	11	4202	4202	NUM
cana-1284	178	12	.	.	PUNCT
cana-1284	179	1	[	[	X
cana-1284	179	2	6	6	NUM
cana-1284	179	3	]	]	SYM
cana-1284	179	4	yang	yang	PROPN
cana-1284	179	5	,	,	PUNCT
cana-1284	179	6	k.	k.	PROPN
cana-1284	179	7	,	,	PUNCT
cana-1284	179	8	lau	lau	PROPN
cana-1284	179	9	,	,	PUNCT
cana-1284	179	10	r.	r.	PROPN
cana-1284	179	11	y.	y.	PROPN
cana-1284	179	12	,	,	PUNCT
cana-1284	179	13	&	&	CCONJ
cana-1284	179	14	abbasi	abbasi	PROPN
cana-1284	179	15	,	,	PUNCT
cana-1284	179	16	a.	a.	PROPN
cana-1284	179	17	(	(	PUNCT
cana-1284	179	18	2023	2023	NUM
cana-1284	179	19	)	)	PUNCT
cana-1284	179	20	.	.	PUNCT
cana-1284	180	1	getting	get	VERB
cana-1284	180	2	personal	personal	ADJ
cana-1284	180	3	:	:	PUNCT
cana-1284	180	4	a	a	DET
cana-1284	180	5	deep	deep	ADJ
cana-1284	180	6	learning	learning	NOUN
cana-1284	180	7	artifact	artifact	NOUN
cana-1284	180	8	for	for	ADP
cana-1284	180	9	text	text	NOUN
cana-1284	180	10	-	-	PUNCT
cana-1284	180	11	based	base	VERB
cana-1284	180	12	measurement	measurement	NOUN
cana-1284	180	13	of	of	ADP
cana-1284	180	14	personality	personality	NOUN
cana-1284	180	15	.	.	PUNCT
cana-1284	181	1	information	information	NOUN
cana-1284	181	2	systems	system	NOUN
cana-1284	181	3	research	research	NOUN
cana-1284	181	4	,	,	PUNCT
cana-1284	181	5	34(1	34(1	NUM
cana-1284	181	6	)	)	PUNCT
cana-1284	181	7	,	,	PUNCT
cana-1284	181	8	194	194	NUM
cana-1284	181	9	-	-	SYM
cana-1284	181	10	222	222	NUM
cana-1284	181	11	.	.	PUNCT
cana-1284	182	1	[	[	X
cana-1284	182	2	7	7	NUM
cana-1284	182	3	]	]	X
cana-1284	182	4	jayachandran	jayachandran	NOUN
cana-1284	182	5	,	,	PUNCT
cana-1284	182	6	s.	s.	PROPN
cana-1284	182	7	,	,	PUNCT
cana-1284	182	8	&	&	CCONJ
cana-1284	182	9	joshi	joshi	PROPN
cana-1284	182	10	,	,	PUNCT
cana-1284	182	11	b.	b.	PROPN
cana-1284	182	12	(	(	PUNCT
cana-1284	182	13	2024	2024	NUM
cana-1284	182	14	)	)	PUNCT
cana-1284	182	15	.	.	PUNCT
cana-1284	183	1	customized	customize	VERB
cana-1284	183	2	support	support	NOUN
cana-1284	183	3	vector	vector	NOUN
cana-1284	183	4	machine	machine	NOUN
cana-1284	183	5	for	for	ADP
cana-1284	183	6	predicting	predict	VERB
cana-1284	183	7	the	the	DET
cana-1284	183	8	employability	employability	NOUN
cana-1284	183	9	of	of	ADP
cana-1284	183	10	students	student	NOUN
cana-1284	183	11	pursuing	pursue	VERB
cana-1284	183	12	engineering	engineering	NOUN
cana-1284	183	13	.	.	PUNCT
cana-1284	184	1	international	international	ADJ
cana-1284	184	2	journal	journal	PROPN
cana-1284	184	3	of	of	ADP
cana-1284	184	4	information	information	NOUN
cana-1284	184	5	technology	technology	NOUN
cana-1284	184	6	,	,	PUNCT
cana-1284	184	7	16(5	16(5	NUM
cana-1284	184	8	)	)	PUNCT
cana-1284	184	9	,	,	PUNCT
cana-1284	184	10	3193	3193	NUM
cana-1284	184	11	-	-	SYM
cana-1284	184	12	3204	3204	NUM
cana-1284	184	13	[	[	X
cana-1284	184	14	8	8	NUM
cana-1284	184	15	]	]	PUNCT
cana-1284	184	16	sj	sj	PROPN
cana-1284	184	17	,	,	PUNCT
cana-1284	184	18	s.	s.	PROPN
cana-1284	184	19	a.	a.	PROPN
cana-1284	184	20	,	,	PUNCT
cana-1284	184	21	&	&	CCONJ
cana-1284	184	22	tanuja	tanuja	PROPN
cana-1284	184	23	,	,	PUNCT
cana-1284	184	24	r.	r.	PROPN
cana-1284	184	25	(	(	PUNCT
cana-1284	184	26	2024	2024	NUM
cana-1284	184	27	)	)	PUNCT
cana-1284	184	28	.	.	PUNCT
cana-1284	185	1	exploring	explore	VERB
cana-1284	185	2	key	key	ADJ
cana-1284	185	3	parameters	parameter	NOUN
cana-1284	185	4	influencing	influence	VERB
cana-1284	185	5	student	student	NOUN
cana-1284	185	6	performance	performance	NOUN
cana-1284	185	7	in	in	ADP
cana-1284	185	8	a	a	DET
cana-1284	185	9	blended	blend	VERB
cana-1284	185	10	learning	learn	VERB
cana-1284	185	11	environment	environment	NOUN
cana-1284	185	12	using	use	VERB
cana-1284	185	13	learning	learn	VERB
cana-1284	185	14	analytics	analytic	NOUN
cana-1284	185	15	.	.	PUNCT
cana-1284	186	1	journal	journal	PROPN
cana-1284	186	2	of	of	ADP
cana-1284	186	3	education	education	NOUN
cana-1284	186	4	and	and	CCONJ
cana-1284	186	5	e	e	NOUN
cana-1284	186	6	-	-	ADJ
cana-1284	186	7	learning	learning	ADJ
cana-1284	186	8	research	research	NOUN
cana-1284	186	9	,	,	PUNCT
cana-1284	186	10	11(1	11(1	NUM
cana-1284	186	11	)	)	PUNCT
cana-1284	186	12	,	,	PUNCT
cana-1284	186	13	77	77	NUM
cana-1284	186	14	-	-	SYM
cana-1284	186	15	89	89	NUM
cana-1284	186	16	.	.	PUNCT
cana-1284	187	1	[	[	X
cana-1284	187	2	9	9	NUM
cana-1284	187	3	]	]	SYM
cana-1284	187	4	praghash	praghash	NOUN
cana-1284	187	5	,	,	PUNCT
cana-1284	187	6	k.	k.	PROPN
cana-1284	187	7	,	,	PUNCT
cana-1284	187	8	yuvaraj	yuvaraj	PROPN
cana-1284	187	9	,	,	PUNCT
cana-1284	187	10	n.	n.	PROPN
cana-1284	187	11	,	,	PUNCT
cana-1284	187	12	peter	peter	PROPN
cana-1284	187	13	,	,	PUNCT
cana-1284	187	14	g.	g.	PROPN
cana-1284	187	15	,	,	PUNCT
cana-1284	187	16	stonier	stonier	NOUN
cana-1284	187	17	,	,	PUNCT
cana-1284	187	18	a.	a.	NOUN
cana-1284	187	19	a.	a.	PROPN
cana-1284	187	20	,	,	PUNCT
cana-1284	187	21	&	&	CCONJ
cana-1284	187	22	priya	priya	PROPN
cana-1284	187	23	,	,	PUNCT
cana-1284	187	24	r.	r.	PROPN
cana-1284	187	25	d.	d.	PROPN
cana-1284	187	26	(	(	PUNCT
cana-1284	187	27	2022	2022	NUM
cana-1284	187	28	,	,	PUNCT
cana-1284	187	29	december	december	PROPN
cana-1284	187	30	)	)	PUNCT
cana-1284	187	31	.	.	PUNCT
cana-1284	188	1	financial	financial	ADJ
cana-1284	188	2	big	big	ADJ
cana-1284	188	3	data	datum	NOUN
cana-1284	188	4	analysis	analysis	NOUN
cana-1284	188	5	using	use	VERB
cana-1284	188	6	anti	anti	ADJ
cana-1284	188	7	-	-	ADJ
cana-1284	188	8	tampering	tamper	VERB
cana-1284	188	9	blockchain	blockchain	NOUN
cana-1284	188	10	-	-	PUNCT
cana-1284	188	11	based	base	VERB
cana-1284	188	12	deep	deep	ADJ
cana-1284	188	13	learning	learning	NOUN
cana-1284	188	14	.	.	PUNCT
cana-1284	189	1	in	in	ADP
cana-1284	189	2	international	international	ADJ
cana-1284	189	3	conference	conference	NOUN
cana-1284	189	4	on	on	ADP
cana-1284	189	5	hybrid	hybrid	ADJ
cana-1284	189	6	intelligent	intelligent	ADJ
cana-1284	189	7	systems	system	NOUN
cana-1284	189	8	(	(	PUNCT
cana-1284	189	9	pp	pp	ADJ
cana-1284	189	10	.	.	PUNCT
cana-1284	189	11	1031	1031	NUM
cana-1284	189	12	-	-	SYM
cana-1284	189	13	1040	1040	NUM
cana-1284	189	14	)	)	PUNCT
cana-1284	189	15	.	.	PUNCT
cana-1284	190	1	cham	cham	PROPN
cana-1284	190	2	:	:	PUNCT
cana-1284	190	3	springer	springer	NOUN
cana-1284	190	4	nature	nature	PROPN
cana-1284	190	5	switzerland	switzerland	PROPN
cana-1284	190	6	.	.	PUNCT
cana-1284	191	1	[	[	X
cana-1284	191	2	10	10	NUM
cana-1284	191	3	]	]	X
cana-1284	191	4	kibble	kibble	PROPN
cana-1284	191	5	,	,	PUNCT
cana-1284	191	6	j.	j.	PROPN
cana-1284	191	7	,	,	PUNCT
cana-1284	191	8	&	&	CCONJ
cana-1284	191	9	plochocki	plochocki	PROPN
cana-1284	191	10	,	,	PUNCT
cana-1284	191	11	j.	j.	PROPN
cana-1284	191	12	(	(	PUNCT
cana-1284	191	13	2023	2023	NUM
cana-1284	191	14	)	)	PUNCT
cana-1284	191	15	.	.	PUNCT
cana-1284	192	1	comparing	compare	VERB
cana-1284	192	2	machine	machine	NOUN
cana-1284	192	3	learning	learning	NOUN
cana-1284	192	4	models	model	NOUN
cana-1284	192	5	and	and	CCONJ
cana-1284	192	6	human	human	ADJ
cana-1284	192	7	raters	rater	NOUN
cana-1284	192	8	when	when	SCONJ
cana-1284	192	9	ranking	rank	VERB
cana-1284	192	10	medical	medical	ADJ
cana-1284	192	11	student	student	NOUN
cana-1284	192	12	performance	performance	NOUN
cana-1284	192	13	evaluations	evaluation	NOUN
cana-1284	192	14	.	.	PUNCT
cana-1284	193	1	journal	journal	NOUN
cana-1284	193	2	of	of	ADP
cana-1284	193	3	graduate	graduate	PROPN
cana-1284	193	4	medical	medical	ADJ
cana-1284	193	5	education	education	NOUN
cana-1284	193	6	,	,	PUNCT
cana-1284	193	7	15(4	15(4	NUM
cana-1284	193	8	)	)	PUNCT
cana-1284	193	9	,	,	PUNCT
cana-1284	193	10	488	488	NUM
cana-1284	193	11	-	-	SYM
cana-1284	193	12	493	493	NUM
cana-1284	193	13	.	.	PUNCT
cana-1284	194	1	[	[	X
cana-1284	194	2	11	11	NUM
cana-1284	194	3	]	]	SYM
cana-1284	194	4	diamant	diamant	NOUN
cana-1284	194	5	,	,	PUNCT
cana-1284	194	6	a.	a.	NOUN
cana-1284	194	7	(	(	PUNCT
cana-1284	194	8	2024	2024	NUM
cana-1284	194	9	)	)	PUNCT
cana-1284	194	10	.	.	PUNCT
cana-1284	195	1	introducing	introduce	VERB
cana-1284	195	2	prescriptive	prescriptive	NOUN
cana-1284	195	3	and	and	CCONJ
cana-1284	195	4	predictive	predictive	ADJ
cana-1284	195	5	analytics	analytic	NOUN
cana-1284	195	6	to	to	PART
cana-1284	195	7	mba	mba	VERB
cana-1284	195	8	students	student	NOUN
cana-1284	195	9	with	with	ADP
cana-1284	195	10	microsoft	microsoft	PROPN
cana-1284	195	11	excel	excel	PROPN
cana-1284	195	12	.	.	PUNCT
cana-1284	196	1	informs	inform	VERB
cana-1284	196	2	transactions	transaction	NOUN
cana-1284	196	3	on	on	ADP
cana-1284	196	4	education	education	NOUN
cana-1284	196	5	,	,	PUNCT
cana-1284	196	6	24(2	24(2	NUM
cana-1284	196	7	)	)	PUNCT
cana-1284	196	8	,	,	PUNCT
cana-1284	196	9	152	152	NUM
cana-1284	196	10	-	-	SYM
cana-1284	196	11	174	174	NUM
cana-1284	196	12	.	.	PUNCT
cana-1284	197	1	[	[	X
cana-1284	197	2	12	12	NUM
cana-1284	197	3	]	]	PUNCT
cana-1284	197	4	mccarthy	mccarthy	PROPN
cana-1284	197	5	,	,	PUNCT
cana-1284	197	6	m.	m.	NOUN
cana-1284	197	7	,	,	PUNCT
cana-1284	197	8	ii	ii	PROPN
cana-1284	197	9	,	,	PUNCT
cana-1284	197	10	w.	w.	PROPN
cana-1284	197	11	a.	a.	PROPN
cana-1284	197	12	y.	y.	PROPN
cana-1284	197	13	,	,	PUNCT
cana-1284	197	14	rahmani	rahmani	PROPN
cana-1284	197	15	,	,	PUNCT
cana-1284	197	16	h.	h.	PROPN
cana-1284	197	17	,	,	PUNCT
cana-1284	197	18	&	&	CCONJ
cana-1284	197	19	metcalf	metcalf	PROPN
cana-1284	197	20	,	,	PUNCT
cana-1284	197	21	a.	a.	PROPN
cana-1284	197	22	y.	y.	PROPN
cana-1284	197	23	(	(	PUNCT
cana-1284	197	24	2023	2023	NUM
cana-1284	197	25	)	)	PUNCT
cana-1284	197	26	.	.	PUNCT
cana-1284	198	1	predicting	predict	VERB
cana-1284	198	2	student	student	NOUN
cana-1284	198	3	success	success	NOUN
cana-1284	198	4	in	in	ADP
cana-1284	198	5	an	an	DET
cana-1284	198	6	online	online	ADJ
cana-1284	198	7	master	master	NOUN
cana-1284	198	8	of	of	ADP
cana-1284	198	9	business	business	PROPN
cana-1284	198	10	administration	administration	PROPN
cana-1284	198	11	program	program	NOUN
cana-1284	198	12	.	.	PUNCT
cana-1284	199	1	international	international	ADJ
cana-1284	199	2	journal	journal	PROPN
cana-1284	199	3	of	of	ADP
cana-1284	199	4	society	society	PROPN
cana-1284	199	5	systems	system	NOUN
cana-1284	199	6	science	science	NOUN
cana-1284	199	7	,	,	PUNCT
cana-1284	199	8	14(3	14(3	NUM
cana-1284	199	9	)	)	PUNCT
cana-1284	199	10	,	,	PUNCT
cana-1284	199	11	201	201	NUM
cana-1284	199	12	-	-	SYM
cana-1284	199	13	221	221	NUM
cana-1284	199	14	.	.	PUNCT
cana-1284	200	1	communications	communication	NOUN
cana-1284	200	2	on	on	ADP
cana-1284	200	3	applied	apply	VERB
cana-1284	200	4	nonlinear	nonlinear	ADJ
cana-1284	200	5	analysis	analysis	NOUN
cana-1284	200	6	issn	issn	NOUN
cana-1284	200	7	:	:	PUNCT
cana-1284	200	8	1074	1074	NUM
cana-1284	200	9	-	-	PUNCT
cana-1284	200	10	133x	133x	NUM
cana-1284	200	11	vol	vol	NOUN
cana-1284	200	12	31	31	NUM
cana-1284	200	13	no	no	NOUN
cana-1284	200	14	.	.	PUNCT
cana-1284	201	1	7s	7	NOUN
cana-1284	201	2	(	(	PUNCT
cana-1284	201	3	2024	2024	NUM
cana-1284	201	4	)	)	PUNCT
cana-1284	201	5	66	66	NUM
cana-1284	201	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1284	202	1	[	[	X
cana-1284	202	2	13	13	NUM
cana-1284	202	3	]	]	PUNCT
cana-1284	202	4	aithal	aithal	NOUN
cana-1284	202	5	,	,	PUNCT
cana-1284	202	6	p.	p.	PROPN
cana-1284	202	7	s.	s.	PROPN
cana-1284	202	8	,	,	PUNCT
cana-1284	202	9	&	&	CCONJ
cana-1284	202	10	karanth	karanth	PROPN
cana-1284	202	11	,	,	PUNCT
cana-1284	202	12	b.	b.	PROPN
cana-1284	202	13	(	(	PUNCT
cana-1284	202	14	2024	2024	NUM
cana-1284	202	15	)	)	PUNCT
cana-1284	202	16	.	.	PUNCT
cana-1284	203	1	a	a	DET
cana-1284	203	2	new	new	ADJ
cana-1284	203	3	model	model	NOUN
cana-1284	203	4	of	of	ADP
cana-1284	203	5	super	super	ADJ
cana-1284	203	6	innovative	innovative	ADJ
cana-1284	203	7	mba	mba	NOUN
cana-1284	203	8	programme	programme	NOUN
cana-1284	203	9	to	to	PART
cana-1284	203	10	achieve	achieve	VERB
cana-1284	203	11	its	its	PRON
cana-1284	203	12	objective	objective	NOUN
cana-1284	203	13	of	of	ADP
cana-1284	203	14	creating	create	VERB
cana-1284	203	15	super	super	ADJ
cana-1284	203	16	executives	executive	NOUN
cana-1284	203	17	.	.	PUNCT
cana-1284	204	1	poornaprajna	poornaprajna	ADJ
cana-1284	204	2	international	international	ADJ
cana-1284	204	3	journal	journal	NOUN
cana-1284	204	4	of	of	ADP
cana-1284	204	5	teaching	teaching	NOUN
cana-1284	204	6	&	&	CCONJ
cana-1284	204	7	research	research	NOUN
cana-1284	204	8	case	case	NOUN
cana-1284	204	9	studies	study	NOUN
cana-1284	204	10	(	(	PUNCT
cana-1284	204	11	pijtrcs	pijtrc	NOUN
cana-1284	204	12	)	)	PUNCT
cana-1284	204	13	,	,	PUNCT
cana-1284	204	14	1(1	1(1	NUM
cana-1284	204	15	)	)	PUNCT
cana-1284	204	16	,	,	PUNCT
cana-1284	204	17	1	1	NUM
cana-1284	204	18	-	-	SYM
cana-1284	204	19	27	27	NUM
cana-1284	204	20	.	.	PUNCT
cana-1284	205	1	[	[	X
cana-1284	205	2	14	14	NUM
cana-1284	205	3	]	]	X
cana-1284	205	4	kumar	kumar	PROPN
cana-1284	205	5	,	,	PUNCT
cana-1284	205	6	m.	m.	NOUN
cana-1284	205	7	,	,	PUNCT
cana-1284	205	8	walia	walia	PROPN
cana-1284	205	9	,	,	PUNCT
cana-1284	205	10	n.	n.	NOUN
cana-1284	205	11	,	,	PUNCT
cana-1284	205	12	bansal	bansal	NOUN
cana-1284	205	13	,	,	PUNCT
cana-1284	205	14	s.	s.	PROPN
cana-1284	205	15	,	,	PUNCT
cana-1284	205	16	kumar	kumar	PROPN
cana-1284	205	17	,	,	PUNCT
cana-1284	205	18	g.	g.	PROPN
cana-1284	205	19	,	,	PUNCT
cana-1284	205	20	&	&	CCONJ
cana-1284	205	21	cengiz	cengiz	PROPN
cana-1284	205	22	,	,	PUNCT
cana-1284	205	23	k.	k.	PROPN
cana-1284	205	24	(	(	PUNCT
cana-1284	205	25	2023	2023	NUM
cana-1284	205	26	)	)	PUNCT
cana-1284	205	27	.	.	PUNCT
cana-1284	206	1	predicting	predict	VERB
cana-1284	206	2	college	college	NOUN
cana-1284	206	3	students	student	NOUN
cana-1284	206	4	’	'	PUNCT
cana-1284	206	5	placements	placement	NOUN
cana-1284	206	6	based	base	VERB
cana-1284	206	7	on	on	ADP
cana-1284	206	8	academic	academic	ADJ
cana-1284	206	9	performance	performance	NOUN
cana-1284	206	10	using	use	VERB
cana-1284	206	11	machine	machine	NOUN
cana-1284	206	12	learning	learning	NOUN
cana-1284	206	13	approaches	approach	NOUN
cana-1284	206	14	.	.	PUNCT
cana-1284	207	1	int	int	NOUN
cana-1284	207	2	j	j	PROPN
cana-1284	207	3	modern	modern	ADJ
cana-1284	207	4	educ	educ	PROPN
cana-1284	207	5	comput	comput	PROPN
cana-1284	207	6	sci	sci	PROPN
cana-1284	207	7	,	,	PUNCT
cana-1284	207	8	15	15	NUM
cana-1284	207	9	,	,	PUNCT
cana-1284	207	10	1	1	NUM
cana-1284	207	11	-	-	SYM
cana-1284	207	12	13	13	NUM
cana-1284	207	13	.	.	PUNCT
cana-1284	208	1	[	[	X
cana-1284	208	2	15	15	NUM
cana-1284	208	3	]	]	X
cana-1284	208	4	smadi	smadi	NOUN
cana-1284	208	5	,	,	PUNCT
cana-1284	208	6	a.	a.	PROPN
cana-1284	208	7	,	,	PUNCT
cana-1284	208	8	al	al	PROPN
cana-1284	208	9	-	-	PUNCT
cana-1284	208	10	qerem	qerem	PROPN
cana-1284	208	11	,	,	PUNCT
cana-1284	208	12	a.	a.	PROPN
cana-1284	208	13	,	,	PUNCT
cana-1284	208	14	nabot	nabot	PROPN
cana-1284	208	15	,	,	PUNCT
cana-1284	208	16	a.	a.	PROPN
cana-1284	208	17	,	,	PUNCT
cana-1284	208	18	jebreen	jebreen	PROPN
cana-1284	208	19	,	,	PUNCT
cana-1284	208	20	i.	i.	NOUN
cana-1284	208	21	,	,	PUNCT
cana-1284	208	22	aldweesh	aldweesh	ADJ
cana-1284	208	23	,	,	PUNCT
cana-1284	208	24	a.	a.	NOUN
cana-1284	208	25	,	,	PUNCT
cana-1284	208	26	alauthman	alauthman	NOUN
cana-1284	208	27	,	,	PUNCT
cana-1284	208	28	m.	m.	NOUN
cana-1284	208	29	,	,	PUNCT
cana-1284	208	30	...	...	PUNCT
cana-1284	208	31	&	&	CCONJ
cana-1284	208	32	alzghoul	alzghoul	PROPN
cana-1284	208	33	,	,	PUNCT
cana-1284	208	34	m.	m.	PROPN
cana-1284	208	35	b.	b.	PROPN
cana-1284	208	36	(	(	PUNCT
cana-1284	208	37	2023	2023	NUM
cana-1284	208	38	)	)	PUNCT
cana-1284	208	39	.	.	PUNCT
cana-1284	209	1	unlocking	unlock	VERB
cana-1284	209	2	the	the	DET
cana-1284	209	3	potential	potential	NOUN
cana-1284	209	4	of	of	ADP
cana-1284	209	5	competency	competency	NOUN
cana-1284	209	6	exam	exam	NOUN
cana-1284	209	7	data	datum	NOUN
cana-1284	209	8	with	with	ADP
cana-1284	209	9	machine	machine	NOUN
cana-1284	209	10	learning	learning	NOUN
cana-1284	209	11	:	:	PUNCT
cana-1284	209	12	improving	improve	VERB
cana-1284	209	13	higher	high	ADJ
cana-1284	209	14	education	education	NOUN
cana-1284	209	15	evaluation	evaluation	NOUN
cana-1284	209	16	.	.	PUNCT
cana-1284	210	1	sustainability	sustainability	NOUN
cana-1284	210	2	,	,	PUNCT
cana-1284	210	3	15(6	15(6	NUM
cana-1284	210	4	)	)	PUNCT
cana-1284	210	5	,	,	PUNCT
cana-1284	210	6	5267	5267	NUM
cana-1284	210	7	.	.	PUNCT
cana-1284	211	1	[	[	X
cana-1284	211	2	16	16	NUM
cana-1284	211	3	]	]	X
cana-1284	211	4	mehra	mehra	PROPN
cana-1284	211	5	,	,	PUNCT
cana-1284	211	6	a.	a.	PROPN
cana-1284	211	7	,	,	PUNCT
cana-1284	211	8	gupta	gupta	PROPN
cana-1284	211	9	,	,	PUNCT
cana-1284	211	10	o.	o.	PROPN
cana-1284	211	11	,	,	PUNCT
cana-1284	211	12	&	&	CCONJ
cana-1284	211	13	avikal	avikal	PROPN
cana-1284	211	14	,	,	PUNCT
cana-1284	211	15	s.	s.	PROPN
cana-1284	211	16	(	(	PUNCT
cana-1284	211	17	2023	2023	NUM
cana-1284	211	18	)	)	PUNCT
cana-1284	211	19	.	.	PUNCT
cana-1284	212	1	finding	find	VERB
cana-1284	212	2	the	the	DET
cana-1284	212	3	combined	combined	ADJ
cana-1284	212	4	effect	effect	NOUN
cana-1284	212	5	of	of	ADP
cana-1284	212	6	academic	academic	ADJ
cana-1284	212	7	and	and	CCONJ
cana-1284	212	8	non	non	ADJ
cana-1284	212	9	-	-	ADJ
cana-1284	212	10	academic	academic	ADJ
cana-1284	212	11	performance	performance	NOUN
cana-1284	212	12	on	on	ADP
cana-1284	212	13	management	management	NOUN
cana-1284	212	14	students	student	NOUN
cana-1284	212	15	’	'	PUNCT
cana-1284	212	16	placement	placement	NOUN
cana-1284	212	17	:	:	PUNCT
cana-1284	212	18	a	a	DET
cana-1284	212	19	fuzzy	fuzzy	ADJ
cana-1284	212	20	logic	logic	NOUN
cana-1284	212	21	approach	approach	NOUN
cana-1284	212	22	.	.	PUNCT
cana-1284	213	1	the	the	DET
cana-1284	213	2	international	international	ADJ
cana-1284	213	3	journal	journal	NOUN
cana-1284	213	4	of	of	ADP
cana-1284	213	5	management	management	NOUN
cana-1284	213	6	education	education	NOUN
cana-1284	213	7	,	,	PUNCT
cana-1284	213	8	21(3	21(3	NUM
cana-1284	213	9	)	)	PUNCT
cana-1284	213	10	,	,	PUNCT
cana-1284	213	11	100837	100837	NUM
cana-1284	213	12	.	.	PUNCT