id	sid	tid	token	lemma	pos
cana-523	1	1	communications	communication	NOUN
cana-523	1	2	on	on	ADP
cana-523	1	3	applied	apply	VERB
cana-523	1	4	nonlinear	nonlinear	ADJ
cana-523	1	5	analysis	analysis	NOUN
cana-523	1	6	issn	issn	NOUN
cana-523	1	7	:	:	PUNCT
cana-523	1	8	1074	1074	NUM
cana-523	1	9	-	-	PUNCT
cana-523	1	10	133x	133x	NUM
cana-523	1	11	vol	vol	NOUN
cana-523	1	12	31	31	NUM
cana-523	1	13	no	no	NOUN
cana-523	1	14	.	.	NOUN
cana-523	1	15	2	2	NUM
cana-523	1	16	(	(	PUNCT
cana-523	1	17	2024	2024	NUM
cana-523	1	18	)	)	PUNCT
cana-523	2	1	107	107	NUM
cana-523	2	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-523	2	3	design	design	NOUN
cana-523	2	4	of	of	ADP
cana-523	2	5	software	software	NOUN
cana-523	2	6	reliability	reliability	NOUN
cana-523	2	7	prediction	prediction	NOUN
cana-523	2	8	using	use	VERB
cana-523	2	9	radial	radial	ADJ
cana-523	2	10	basis	basis	NOUN
cana-523	2	11	function	function	NOUN
cana-523	2	12	networks	network	NOUN
cana-523	2	13	with	with	ADP
cana-523	2	14	nonlinear	nonlinear	ADJ
cana-523	2	15	analysis	analysis	NOUN
cana-523	2	16	and	and	CCONJ
cana-523	2	17	topological	topological	ADJ
cana-523	2	18	considerations	consideration	NOUN
cana-523	2	19	1r.josphineleela	1r.josphineleela	NUM
cana-523	2	20	,	,	PUNCT
cana-523	2	21	2b	2b	NUM
cana-523	2	22	.	.	PUNCT
cana-523	3	1	neelu	neelu	PROPN
cana-523	3	2	,	,	PUNCT
cana-523	3	3	3p.g	3p.g	NUM
cana-523	3	4	banupriya	banupriya	NOUN
cana-523	3	5	,	,	PUNCT
cana-523	3	6	4	4	NUM
cana-523	3	7	m.	m.	NOUN
cana-523	3	8	sunil	sunil	PROPN
cana-523	3	9	kumar	kumar	PROPN
cana-523	3	10	,	,	PUNCT
cana-523	3	11	5rajendiran	5rajendiran	NUM
cana-523	3	12	m	m	NOUN
cana-523	3	13	,	,	PUNCT
cana-523	3	14	6dr	6dr	ADJ
cana-523	3	15	.	.	PUNCT
cana-523	4	1	durgaprasad	durgaprasad	ADJ
cana-523	4	2	navulla	navulla	NOUN
cana-523	4	3	,	,	PUNCT
cana-523	4	4	1	1	NUM
cana-523	4	5	professor	professor	NOUN
cana-523	4	6	,	,	PUNCT
cana-523	4	7	department	department	NOUN
cana-523	4	8	of	of	ADP
cana-523	4	9	computer	computer	NOUN
cana-523	4	10	science	science	NOUN
cana-523	4	11	and	and	CCONJ
cana-523	4	12	engineering	engineering	NOUN
cana-523	4	13	,	,	PUNCT
cana-523	4	14	panimalar	panimalar	ADJ
cana-523	4	15	engineering	engineering	NOUN
cana-523	4	16	college	college	NOUN
cana-523	4	17	,	,	PUNCT
cana-523	4	18	tamilnadu	tamilnadu	PROPN
cana-523	4	19	,	,	PUNCT
cana-523	4	20	india	india	PROPN
cana-523	4	21	.	.	PUNCT
cana-523	4	22	pecleela2005@gmail.com	pecleela2005@gmail.com	PROPN
cana-523	5	1	2	2	NUM
cana-523	5	2	assistant	assistant	NOUN
cana-523	5	3	professor	professor	NOUN
cana-523	5	4	,	,	PUNCT
cana-523	5	5	department	department	NOUN
cana-523	5	6	of	of	ADP
cana-523	5	7	computer	computer	NOUN
cana-523	5	8	science	science	NOUN
cana-523	5	9	and	and	CCONJ
cana-523	5	10	engineering	engineering	NOUN
cana-523	5	11	,	,	PUNCT
cana-523	5	12	p.s.v	p.s.v	PROPN
cana-523	5	13	college	college	NOUN
cana-523	5	14	of	of	ADP
cana-523	5	15	engineering	engineering	NOUN
cana-523	5	16	and	and	CCONJ
cana-523	5	17	technology	technology	NOUN
cana-523	5	18	,	,	PUNCT
cana-523	5	19	krishnagiri	krishnagiri	PROPN
cana-523	5	20	,	,	PUNCT
cana-523	5	21	tamilnadu	tamilnadu	PROPN
cana-523	5	22	,	,	PUNCT
cana-523	5	23	india	india	PROPN
cana-523	5	24	.	.	PUNCT
cana-523	6	1	neelusadik@gmail.com	neelusadik@gmail.com	X
cana-523	6	2	3	3	NUM
cana-523	6	3	assistant	assistant	NOUN
cana-523	6	4	professor	professor	NOUN
cana-523	6	5	,	,	PUNCT
cana-523	6	6	karpagam	karpagam	PROPN
cana-523	6	7	institute	institute	PROPN
cana-523	6	8	of	of	ADP
cana-523	6	9	technology	technology	PROPN
cana-523	6	10	,	,	PUNCT
cana-523	6	11	coimbatore	coimbatore	PROPN
cana-523	6	12	,	,	PUNCT
cana-523	6	13	tamilnadu	tamilnadu	NOUN
cana-523	6	14	,	,	PUNCT
cana-523	6	15	india	india	PROPN
cana-523	6	16	.	.	PUNCT
cana-523	7	1	banupriya.cse@karpagamtech.ac.in	banupriya.cse@karpagamtech.ac.in	NOUN
cana-523	7	2	4	4	NUM
cana-523	7	3	professor	professor	NOUN
cana-523	7	4	&	&	CCONJ
cana-523	7	5	programme	programme	PROPN
cana-523	7	6	head	head	NOUN
cana-523	7	7	,	,	PUNCT
cana-523	7	8	department	department	NOUN
cana-523	7	9	of	of	ADP
cana-523	7	10	computer	computer	NOUN
cana-523	7	11	science	science	NOUN
cana-523	7	12	and	and	CCONJ
cana-523	7	13	engineering	engineering	NOUN
cana-523	7	14	,	,	PUNCT
cana-523	7	15	school	school	NOUN
cana-523	7	16	of	of	ADP
cana-523	7	17	computing	computing	NOUN
cana-523	7	18	,	,	PUNCT
cana-523	7	19	mohan	mohan	PROPN
cana-523	7	20	babu	babu	PROPN
cana-523	7	21	university	university	PROPN
cana-523	7	22	(	(	PUNCT
cana-523	7	23	erstwhile	erstwhile	VERB
cana-523	7	24	sree	sree	PROPN
cana-523	7	25	vidyanikethan	vidyanikethan	PROPN
cana-523	7	26	engineering	engineering	PROPN
cana-523	7	27	college	college	PROPN
cana-523	7	28	)	)	PUNCT
cana-523	7	29	,	,	PUNCT
cana-523	7	30	tirupathi	tirupathi	PROPN
cana-523	7	31	,	,	PUNCT
cana-523	7	32	ap	ap	PROPN
cana-523	7	33	,	,	PUNCT
cana-523	7	34	india	india	PROPN
cana-523	7	35	.	.	PUNCT
cana-523	7	36	sunilmalchi1@gmail.com	sunilmalchi1@gmail.com	X
cana-523	7	37	5	5	NUM
cana-523	7	38	professor	professor	NOUN
cana-523	7	39	,	,	PUNCT
cana-523	7	40	department	department	NOUN
cana-523	7	41	computer	computer	NOUN
cana-523	7	42	science	science	NOUN
cana-523	7	43	and	and	CCONJ
cana-523	7	44	engineering	engineering	NOUN
cana-523	7	45	,	,	PUNCT
cana-523	7	46	panimalar	panimalar	ADJ
cana-523	7	47	engineering	engineering	NOUN
cana-523	7	48	college	college	NOUN
cana-523	7	49	,	,	PUNCT
cana-523	7	50	chennai	chennai	PROPN
cana-523	7	51	,	,	PUNCT
cana-523	7	52	tamilnadu	tamilnadu	NOUN
cana-523	7	53	,	,	PUNCT
cana-523	7	54	india	india	PROPN
cana-523	7	55	.	.	PUNCT
cana-523	8	1	mrajendiran@panimalar.ac.in	mrajendiran@panimalar.ac.in	PROPN
cana-523	8	2	6	6	NUM
cana-523	8	3	assistant	assistant	NOUN
cana-523	8	4	professor	professor	NOUN
cana-523	8	5	,	,	PUNCT
cana-523	8	6	kl	kl	PROPN
cana-523	8	7	business	business	PROPN
cana-523	8	8	school	school	PROPN
cana-523	8	9	,	,	PUNCT
cana-523	8	10	programme	programme	NOUN
cana-523	8	11	co	co	NOUN
cana-523	8	12	-	-	PROPN
cana-523	8	13	ordinator	ordinator	ADJ
cana-523	8	14	bba	bba	PROPN
cana-523	8	15	(	(	PUNCT
cana-523	8	16	cdoe	cdoe	PROPN
cana-523	8	17	)	)	PUNCT
cana-523	8	18	,	,	PUNCT
cana-523	8	19	koneru	koneru	PROPN
cana-523	8	20	lakshmaiah	lakshmaiah	PROPN
cana-523	8	21	education	education	PROPN
cana-523	8	22	foundation	foundation	PROPN
cana-523	8	23	(	(	PUNCT
cana-523	8	24	deemed	deem	VERB
cana-523	8	25	to	to	PART
cana-523	8	26	be	be	AUX
cana-523	8	27	university	university	NOUN
cana-523	8	28	)	)	PUNCT
cana-523	8	29	,	,	PUNCT
cana-523	8	30	vaddeswaram	vaddeswaram	PROPN
cana-523	8	31	,	,	PUNCT
cana-523	8	32	guntur	guntur	PROPN
cana-523	8	33	district	district	PROPN
cana-523	8	34	,	,	PUNCT
cana-523	8	35	andhra	andhra	PROPN
cana-523	8	36	pradesh	pradesh	PROPN
cana-523	8	37	,	,	PUNCT
cana-523	8	38	india	india	PROPN
cana-523	8	39	.	.	PUNCT
cana-523	8	40	prasadnavulla0006@gmail.com	prasadnavulla0006@gmail.com	PROPN
cana-523	9	1	article	article	NOUN
cana-523	9	2	history	history	NOUN
cana-523	9	3	:	:	PUNCT
cana-523	9	4	received	receive	VERB
cana-523	9	5	:	:	PUNCT
cana-523	9	6	22	22	NUM
cana-523	9	7	-	-	SYM
cana-523	9	8	01	01	NUM
cana-523	9	9	-	-	PUNCT
cana-523	9	10	2024	2024	NUM
cana-523	9	11	revised	revise	VERB
cana-523	9	12	:	:	PUNCT
cana-523	9	13	05	05	NUM
cana-523	9	14	-	-	PUNCT
cana-523	9	15	04	04	NUM
cana-523	9	16	-	-	PUNCT
cana-523	9	17	2024	2024	NUM
cana-523	9	18	accepted	accept	VERB
cana-523	9	19	:	:	PUNCT
cana-523	9	20	22	22	NUM
cana-523	9	21	-	-	PUNCT
cana-523	9	22	04	04	NUM
cana-523	9	23	-	-	PUNCT
cana-523	9	24	2024	2024	NUM
cana-523	9	25	abstract	abstract	NOUN
cana-523	9	26	:	:	PUNCT
cana-523	9	27	this	this	DET
cana-523	9	28	study	study	NOUN
cana-523	9	29	presents	present	VERB
cana-523	9	30	a	a	DET
cana-523	9	31	thorough	thorough	ADJ
cana-523	9	32	methodology	methodology	NOUN
cana-523	9	33	for	for	ADP
cana-523	9	34	predicting	predict	VERB
cana-523	9	35	software	software	NOUN
cana-523	9	36	reliability	reliability	NOUN
cana-523	9	37	by	by	ADP
cana-523	9	38	employing	employ	VERB
cana-523	9	39	radial	radial	ADJ
cana-523	9	40	basis	basis	NOUN
cana-523	9	41	function	function	NOUN
cana-523	9	42	networks	network	NOUN
cana-523	9	43	(	(	PUNCT
cana-523	9	44	rbfns	rbfns	NOUN
cana-523	9	45	)	)	PUNCT
cana-523	9	46	.	.	PUNCT
cana-523	10	1	by	by	ADP
cana-523	10	2	using	use	VERB
cana-523	10	3	machine	machine	NOUN
cana-523	10	4	learning	learning	NOUN
cana-523	10	5	methodologies	methodology	NOUN
cana-523	10	6	such	such	ADJ
cana-523	10	7	as	as	ADP
cana-523	10	8	radial	radial	ADJ
cana-523	10	9	basis	basis	NOUN
cana-523	10	10	function	function	NOUN
cana-523	10	11	networks	network	NOUN
cana-523	10	12	(	(	PUNCT
cana-523	10	13	rbfns	rbfns	NOUN
cana-523	10	14	)	)	PUNCT
cana-523	10	15	,	,	PUNCT
cana-523	10	16	software	software	NOUN
cana-523	10	17	development	development	NOUN
cana-523	10	18	teams	team	NOUN
cana-523	10	19	are	be	AUX
cana-523	10	20	enabled	enable	VERB
cana-523	10	21	to	to	PART
cana-523	10	22	make	make	VERB
cana-523	10	23	well	well	ADV
cana-523	10	24	-	-	PUNCT
cana-523	10	25	informed	inform	VERB
cana-523	10	26	decisions	decision	NOUN
cana-523	10	27	,	,	PUNCT
cana-523	10	28	optimize	optimize	VERB
cana-523	10	29	resource	resource	NOUN
cana-523	10	30	allocation	allocation	NOUN
cana-523	10	31	,	,	PUNCT
cana-523	10	32	and	and	CCONJ
cana-523	10	33	proactively	proactively	ADV
cana-523	10	34	mitigate	mitigate	VERB
cana-523	10	35	potential	potential	ADJ
cana-523	10	36	dependability	dependability	NOUN
cana-523	10	37	concerns	concern	NOUN
cana-523	10	38	.	.	PUNCT
cana-523	11	1	consequently	consequently	ADV
cana-523	11	2	,	,	PUNCT
cana-523	11	3	this	this	PRON
cana-523	11	4	results	result	NOUN
cana-523	11	5	in	in	ADP
cana-523	11	6	improved	improved	ADJ
cana-523	11	7	software	software	NOUN
cana-523	11	8	quality	quality	NOUN
cana-523	11	9	and	and	CCONJ
cana-523	11	10	heightened	heighten	VERB
cana-523	11	11	customer	customer	NOUN
cana-523	11	12	happiness	happiness	NOUN
cana-523	11	13	.	.	PUNCT
cana-523	12	1	this	this	DET
cana-523	12	2	methodology	methodology	NOUN
cana-523	12	3	involves	involve	VERB
cana-523	12	4	multiple	multiple	ADJ
cana-523	12	5	stages	stage	NOUN
cana-523	12	6	,	,	PUNCT
cana-523	12	7	starting	start	VERB
cana-523	12	8	with	with	ADP
cana-523	12	9	data	datum	NOUN
cana-523	12	10	collection	collection	NOUN
cana-523	12	11	and	and	CCONJ
cana-523	12	12	preprocessing	preprocessing	NOUN
cana-523	12	13	.	.	PUNCT
cana-523	13	1	we	we	PRON
cana-523	13	2	assemble	assemble	VERB
cana-523	13	3	a	a	DET
cana-523	13	4	comprehensive	comprehensive	ADJ
cana-523	13	5	dataset	dataset	NOUN
cana-523	13	6	comprising	comprise	VERB
cana-523	13	7	historical	historical	ADJ
cana-523	13	8	software	software	NOUN
cana-523	13	9	performance	performance	NOUN
cana-523	13	10	metrics	metric	NOUN
cana-523	13	11	,	,	PUNCT
cana-523	13	12	defect	defect	VERB
cana-523	13	13	reports	report	NOUN
cana-523	13	14	,	,	PUNCT
cana-523	13	15	and	and	CCONJ
cana-523	13	16	relevant	relevant	ADJ
cana-523	13	17	development	development	NOUN
cana-523	13	18	process	process	NOUN
cana-523	13	19	information	information	NOUN
cana-523	13	20	.	.	PUNCT
cana-523	14	1	after	after	ADP
cana-523	14	2	data	data	NOUN
cana-523	14	3	cleansing	cleansing	NOUN
cana-523	14	4	and	and	CCONJ
cana-523	14	5	feature	feature	NOUN
cana-523	14	6	engineering	engineering	NOUN
cana-523	14	7	,	,	PUNCT
cana-523	14	8	we	we	PRON
cana-523	14	9	split	split	VERB
cana-523	14	10	the	the	DET
cana-523	14	11	dataset	dataset	NOUN
cana-523	14	12	into	into	ADP
cana-523	14	13	training	training	NOUN
cana-523	14	14	,	,	PUNCT
cana-523	14	15	validation	validation	NOUN
cana-523	14	16	,	,	PUNCT
cana-523	14	17	and	and	CCONJ
cana-523	14	18	testing	testing	NOUN
cana-523	14	19	subsets	subset	NOUN
cana-523	14	20	.	.	PUNCT
cana-523	15	1	the	the	DET
cana-523	15	2	core	core	NOUN
cana-523	15	3	of	of	ADP
cana-523	15	4	this	this	DET
cana-523	15	5	approach	approach	NOUN
cana-523	15	6	lies	lie	VERB
cana-523	15	7	in	in	ADP
cana-523	15	8	the	the	DET
cana-523	15	9	construction	construction	NOUN
cana-523	15	10	and	and	CCONJ
cana-523	15	11	training	training	NOUN
cana-523	15	12	of	of	ADP
cana-523	15	13	rbfns	rbfns	NOUN
cana-523	15	14	.	.	PUNCT
cana-523	16	1	these	these	DET
cana-523	16	2	neural	neural	ADJ
cana-523	16	3	networks	network	NOUN
cana-523	16	4	consist	consist	VERB
cana-523	16	5	of	of	ADP
cana-523	16	6	an	an	DET
cana-523	16	7	input	input	NOUN
cana-523	16	8	layer	layer	NOUN
cana-523	16	9	,	,	PUNCT
cana-523	16	10	a	a	DET
cana-523	16	11	hidden	hidden	ADJ
cana-523	16	12	layer	layer	NOUN
cana-523	16	13	with	with	ADP
cana-523	16	14	radial	radial	ADJ
cana-523	16	15	basis	basis	NOUN
cana-523	16	16	functions	function	NOUN
cana-523	16	17	,	,	PUNCT
cana-523	16	18	and	and	CCONJ
cana-523	16	19	an	an	DET
cana-523	16	20	output	output	NOUN
cana-523	16	21	layer	layer	NOUN
cana-523	16	22	.	.	PUNCT
cana-523	17	1	the	the	DET
cana-523	17	2	architecture	architecture	NOUN
cana-523	17	3	parameters	parameter	NOUN
cana-523	17	4	,	,	PUNCT
cana-523	17	5	particularly	particularly	ADV
cana-523	17	6	the	the	DET
cana-523	17	7	number	number	NOUN
cana-523	17	8	of	of	ADP
cana-523	17	9	hidden	hide	VERB
cana-523	17	10	neurons	neuron	NOUN
cana-523	17	11	and	and	CCONJ
cana-523	17	12	the	the	DET
cana-523	17	13	spread	spread	ADJ
cana-523	17	14	parameter	parameter	NOUN
cana-523	17	15	of	of	ADP
cana-523	17	16	the	the	DET
cana-523	17	17	radial	radial	ADJ
cana-523	17	18	basis	basis	NOUN
cana-523	17	19	functions	function	NOUN
cana-523	17	20	,	,	PUNCT
cana-523	17	21	are	be	AUX
cana-523	17	22	optimized	optimize	VERB
cana-523	17	23	through	through	ADP
cana-523	17	24	a	a	DET
cana-523	17	25	systematic	systematic	ADJ
cana-523	17	26	hyperparameter	hyperparameter	NOUN
cana-523	17	27	tuning	tuning	NOUN
cana-523	17	28	process	process	NOUN
cana-523	17	29	using	use	VERB
cana-523	17	30	the	the	DET
cana-523	17	31	validation	validation	NOUN
cana-523	17	32	dataset	dataset	NOUN
cana-523	17	33	.	.	PUNCT
cana-523	18	1	upon	upon	SCONJ
cana-523	18	2	achieving	achieve	VERB
cana-523	18	3	an	an	DET
cana-523	18	4	optimal	optimal	ADJ
cana-523	18	5	model	model	NOUN
cana-523	18	6	configuration	configuration	NOUN
cana-523	18	7	,	,	PUNCT
cana-523	18	8	we	we	PRON
cana-523	18	9	rigorously	rigorously	ADV
cana-523	18	10	evaluate	evaluate	VERB
cana-523	18	11	the	the	DET
cana-523	18	12	rbfn	rbfn	NOUN
cana-523	18	13	predictive	predictive	ADJ
cana-523	18	14	capabilities	capability	NOUN
cana-523	18	15	using	use	VERB
cana-523	18	16	the	the	DET
cana-523	18	17	testing	testing	NOUN
cana-523	18	18	dataset	dataset	NOUN
cana-523	18	19	.	.	PUNCT
cana-523	19	1	keywords	keyword	NOUN
cana-523	19	2	:	:	PUNCT
cana-523	19	3	radial	radial	ADJ
cana-523	19	4	basis	basis	NOUN
cana-523	19	5	function	function	NOUN
cana-523	19	6	networks	network	NOUN
cana-523	19	7	,	,	PUNCT
cana-523	19	8	software	software	NOUN
cana-523	19	9	reliability	reliability	NOUN
cana-523	19	10	prediction	prediction	NOUN
cana-523	19	11	,	,	PUNCT
cana-523	19	12	software	software	NOUN
cana-523	19	13	quality	quality	NOUN
cana-523	19	14	,	,	PUNCT
cana-523	19	15	machine	machine	NOUN
cana-523	19	16	learning	learning	NOUN
cana-523	19	17	,	,	PUNCT
cana-523	19	18	predictive	predictive	ADJ
cana-523	19	19	modeling	modeling	NOUN
cana-523	19	20	communications	communication	NOUN
cana-523	19	21	on	on	ADP
cana-523	19	22	applied	apply	VERB
cana-523	19	23	nonlinear	nonlinear	ADJ
cana-523	19	24	analysis	analysis	NOUN
cana-523	19	25	issn	issn	NOUN
cana-523	19	26	:	:	PUNCT
cana-523	19	27	1074	1074	NUM
cana-523	19	28	-	-	PUNCT
cana-523	19	29	133x	133x	NUM
cana-523	19	30	vol	vol	NOUN
cana-523	19	31	31	31	NUM
cana-523	19	32	no	no	NOUN
cana-523	19	33	.	.	NOUN
cana-523	19	34	2	2	NUM
cana-523	19	35	(	(	PUNCT
cana-523	19	36	2024	2024	NUM
cana-523	19	37	)	)	PUNCT
cana-523	20	1	108	108	NUM
cana-523	20	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-523	20	3	1	1	X
cana-523	20	4	.	.	PUNCT
cana-523	20	5	introduction	introduction	NOUN
cana-523	20	6	software	software	NOUN
cana-523	20	7	reliability	reliability	NOUN
cana-523	20	8	is	be	AUX
cana-523	20	9	a	a	DET
cana-523	20	10	pivotal	pivotal	ADJ
cana-523	20	11	concern	concern	NOUN
cana-523	20	12	in	in	ADP
cana-523	20	13	contemporary	contemporary	ADJ
cana-523	20	14	software	software	NOUN
cana-523	20	15	development	development	NOUN
cana-523	20	16	,	,	PUNCT
cana-523	20	17	given	give	VERB
cana-523	20	18	its	its	PRON
cana-523	20	19	direct	direct	ADJ
cana-523	20	20	impact	impact	NOUN
cana-523	20	21	on	on	ADP
cana-523	20	22	user	user	NOUN
cana-523	20	23	satisfaction	satisfaction	NOUN
cana-523	20	24	,	,	PUNCT
cana-523	20	25	business	business	NOUN
cana-523	20	26	profitability	profitability	NOUN
cana-523	20	27	,	,	PUNCT
cana-523	20	28	and	and	CCONJ
cana-523	20	29	organizational	organizational	ADJ
cana-523	20	30	reputation	reputation	NOUN
cana-523	20	31	.	.	PUNCT
cana-523	21	1	as	as	SCONJ
cana-523	21	2	software	software	NOUN
cana-523	21	3	systems	system	NOUN
cana-523	21	4	grow	grow	VERB
cana-523	21	5	in	in	ADP
cana-523	21	6	complexity	complexity	NOUN
cana-523	21	7	and	and	CCONJ
cana-523	21	8	scale	scale	NOUN
cana-523	21	9	,	,	PUNCT
cana-523	21	10	ensuring	ensure	VERB
cana-523	21	11	their	their	PRON
cana-523	21	12	reliability	reliability	NOUN
cana-523	21	13	becomes	become	VERB
cana-523	21	14	increasingly	increasingly	ADV
cana-523	21	15	challenging	challenging	ADJ
cana-523	21	16	.	.	PUNCT
cana-523	22	1	reliability	reliability	NOUN
cana-523	22	2	prediction	prediction	NOUN
cana-523	22	3	models	model	NOUN
cana-523	22	4	are	be	AUX
cana-523	22	5	indispensable	indispensable	ADJ
cana-523	22	6	tools	tool	NOUN
cana-523	22	7	for	for	ADP
cana-523	22	8	preemptively	preemptively	ADV
cana-523	22	9	identifying	identify	VERB
cana-523	22	10	potential	potential	ADJ
cana-523	22	11	reliability	reliability	NOUN
cana-523	22	12	issues	issue	NOUN
cana-523	22	13	and	and	CCONJ
cana-523	22	14	allocating	allocate	VERB
cana-523	22	15	resources	resource	NOUN
cana-523	22	16	efficiently	efficiently	ADV
cana-523	22	17	[	[	X
cana-523	22	18	1	1	NUM
cana-523	22	19	]	]	PUNCT
cana-523	22	20	.	.	PUNCT
cana-523	23	1	the	the	DET
cana-523	23	2	primary	primary	ADJ
cana-523	23	3	objective	objective	NOUN
cana-523	23	4	of	of	ADP
cana-523	23	5	this	this	DET
cana-523	23	6	study	study	NOUN
cana-523	23	7	is	be	AUX
cana-523	23	8	to	to	PART
cana-523	23	9	enhance	enhance	VERB
cana-523	23	10	the	the	DET
cana-523	23	11	domain	domain	NOUN
cana-523	23	12	of	of	ADP
cana-523	23	13	software	software	NOUN
cana-523	23	14	engineering	engineer	VERB
cana-523	23	15	through	through	ADP
cana-523	23	16	the	the	DET
cana-523	23	17	introduction	introduction	NOUN
cana-523	23	18	of	of	ADP
cana-523	23	19	an	an	DET
cana-523	23	20	new	new	ADJ
cana-523	23	21	methodology	methodology	NOUN
cana-523	23	22	for	for	ADP
cana-523	23	23	predicting	predict	VERB
cana-523	23	24	software	software	NOUN
cana-523	23	25	reliability	reliability	NOUN
cana-523	23	26	.	.	PUNCT
cana-523	24	1	this	this	PRON
cana-523	24	2	is	be	AUX
cana-523	24	3	achieved	achieve	VERB
cana-523	24	4	by	by	ADP
cana-523	24	5	utilizing	utilize	VERB
cana-523	24	6	radial	radial	ADJ
cana-523	24	7	basis	basis	NOUN
cana-523	24	8	function	function	NOUN
cana-523	24	9	networks	network	NOUN
cana-523	24	10	(	(	PUNCT
cana-523	24	11	rbfns	rbfns	NOUN
cana-523	24	12	)	)	PUNCT
cana-523	24	13	as	as	ADP
cana-523	24	14	a	a	DET
cana-523	24	15	crucial	crucial	ADJ
cana-523	24	16	element	element	NOUN
cana-523	24	17	[	[	X
cana-523	24	18	2	2	NUM
cana-523	24	19	]	]	PUNCT
cana-523	24	20	.	.	PUNCT
cana-523	25	1	the	the	DET
cana-523	25	2	prediction	prediction	NOUN
cana-523	25	3	of	of	ADP
cana-523	25	4	software	software	NOUN
cana-523	25	5	reliability	reliability	NOUN
cana-523	25	6	has	have	AUX
cana-523	25	7	been	be	AUX
cana-523	25	8	a	a	DET
cana-523	25	9	subject	subject	NOUN
cana-523	25	10	of	of	ADP
cana-523	25	11	significant	significant	ADJ
cana-523	25	12	study	study	NOUN
cana-523	25	13	and	and	CCONJ
cana-523	25	14	industry	industry	NOUN
cana-523	25	15	attention	attention	NOUN
cana-523	25	16	for	for	ADP
cana-523	25	17	an	an	DET
cana-523	25	18	extended	extended	ADJ
cana-523	25	19	period	period	NOUN
cana-523	25	20	.	.	PUNCT
cana-523	26	1	throughout	throughout	ADP
cana-523	26	2	the	the	DET
cana-523	26	3	years	year	NOUN
cana-523	26	4	,	,	PUNCT
cana-523	26	5	numerous	numerous	ADJ
cana-523	26	6	strategies	strategy	NOUN
cana-523	26	7	and	and	CCONJ
cana-523	26	8	techniques	technique	NOUN
cana-523	26	9	have	have	AUX
cana-523	26	10	been	be	AUX
cana-523	26	11	suggested	suggest	VERB
cana-523	26	12	in	in	ADP
cana-523	26	13	this	this	DET
cana-523	26	14	field	field	NOUN
cana-523	26	15	.	.	PUNCT
cana-523	27	1	most	most	ADJ
cana-523	27	2	of	of	ADP
cana-523	27	3	the	the	DET
cana-523	27	4	time	time	NOUN
cana-523	27	5	,	,	PUNCT
cana-523	27	6	traditional	traditional	ADJ
cana-523	27	7	methods	method	NOUN
cana-523	27	8	rely	rely	VERB
cana-523	27	9	on	on	ADP
cana-523	27	10	simple	simple	ADJ
cana-523	27	11	statistical	statistical	ADJ
cana-523	27	12	models	model	NOUN
cana-523	27	13	that	that	PRON
cana-523	27	14	have	have	VERB
cana-523	27	15	trouble	trouble	NOUN
cana-523	27	16	understanding	understand	VERB
cana-523	27	17	the	the	DET
cana-523	27	18	complicated	complicated	ADJ
cana-523	27	19	links	link	NOUN
cana-523	27	20	between	between	ADP
cana-523	27	21	different	different	ADJ
cana-523	27	22	software	software	NOUN
cana-523	27	23	measures	measure	NOUN
cana-523	27	24	and	and	CCONJ
cana-523	27	25	reliability	reliability	NOUN
cana-523	27	26	results	result	NOUN
cana-523	27	27	[	[	X
cana-523	27	28	3	3	NUM
cana-523	27	29	]	]	PUNCT
cana-523	27	30	.	.	PUNCT
cana-523	28	1	machine	machine	NOUN
cana-523	28	2	learning	learning	NOUN
cana-523	28	3	methodologies	methodology	NOUN
cana-523	28	4	have	have	AUX
cana-523	28	5	exhibited	exhibit	VERB
cana-523	28	6	considerable	considerable	ADJ
cana-523	28	7	potential	potential	NOUN
cana-523	28	8	in	in	ADP
cana-523	28	9	this	this	DET
cana-523	28	10	particular	particular	ADJ
cana-523	28	11	field	field	NOUN
cana-523	28	12	,	,	PUNCT
cana-523	28	13	presenting	present	VERB
cana-523	28	14	an	an	DET
cana-523	28	15	opportunity	opportunity	NOUN
cana-523	28	16	to	to	PART
cana-523	28	17	effectively	effectively	ADV
cana-523	28	18	represent	represent	VERB
cana-523	28	19	intricate	intricate	ADJ
cana-523	28	20	patterns	pattern	NOUN
cana-523	28	21	inside	inside	ADP
cana-523	28	22	software	software	NOUN
cana-523	28	23	data	datum	NOUN
cana-523	28	24	.	.	PUNCT
cana-523	29	1	a	a	DET
cana-523	29	2	special	special	ADJ
cana-523	29	3	kind	kind	NOUN
cana-523	29	4	of	of	ADP
cana-523	29	5	artificial	artificial	ADJ
cana-523	29	6	neural	neural	ADJ
cana-523	29	7	network	network	NOUN
cana-523	29	8	called	call	VERB
cana-523	29	9	radial	radial	ADJ
cana-523	29	10	basis	basis	NOUN
cana-523	29	11	function	function	NOUN
cana-523	29	12	networks	network	NOUN
cana-523	29	13	(	(	PUNCT
cana-523	29	14	rbfns	rbfns	NOUN
cana-523	29	15	)	)	PUNCT
cana-523	29	16	have	have	AUX
cana-523	29	17	shown	show	VERB
cana-523	29	18	they	they	PRON
cana-523	29	19	can	can	AUX
cana-523	29	20	do	do	VERB
cana-523	29	21	well	well	ADV
cana-523	29	22	in	in	ADP
cana-523	29	23	many	many	ADJ
cana-523	29	24	regression	regression	NOUN
cana-523	29	25	tasks	task	NOUN
cana-523	29	26	and	and	CCONJ
cana-523	29	27	are	be	AUX
cana-523	29	28	becoming	become	VERB
cana-523	29	29	better	well	ADV
cana-523	29	30	known	know	VERB
cana-523	29	31	for	for	ADP
cana-523	29	32	their	their	PRON
cana-523	29	33	ability	ability	NOUN
cana-523	29	34	to	to	PART
cana-523	29	35	improve	improve	VERB
cana-523	29	36	predictions	prediction	NOUN
cana-523	29	37	of	of	ADP
cana-523	29	38	software	software	NOUN
cana-523	29	39	reliability	reliability	NOUN
cana-523	29	40	[	[	X
cana-523	29	41	4	4	NUM
cana-523	29	42	]	]	PUNCT
cana-523	29	43	.	.	PUNCT
cana-523	30	1	nevertheless	nevertheless	ADV
cana-523	30	2	,	,	PUNCT
cana-523	30	3	the	the	DET
cana-523	30	4	use	use	NOUN
cana-523	30	5	of	of	ADP
cana-523	30	6	their	their	PRON
cana-523	30	7	technology	technology	NOUN
cana-523	30	8	is	be	AUX
cana-523	30	9	still	still	ADV
cana-523	30	10	in	in	ADP
cana-523	30	11	its	its	PRON
cana-523	30	12	early	early	ADJ
cana-523	30	13	stages	stage	NOUN
cana-523	30	14	,	,	PUNCT
cana-523	30	15	which	which	PRON
cana-523	30	16	calls	call	VERB
cana-523	30	17	for	for	ADP
cana-523	30	18	additional	additional	ADJ
cana-523	30	19	research	research	NOUN
cana-523	30	20	[	[	X
cana-523	30	21	5	5	NUM
cana-523	30	22	]	]	PUNCT
cana-523	30	23	.	.	PUNCT
cana-523	31	1	the	the	DET
cana-523	31	2	prediction	prediction	NOUN
cana-523	31	3	of	of	ADP
cana-523	31	4	software	software	NOUN
cana-523	31	5	reliability	reliability	NOUN
cana-523	31	6	encounters	encounter	VERB
cana-523	31	7	various	various	ADJ
cana-523	31	8	problems	problem	NOUN
cana-523	31	9	,	,	PUNCT
cana-523	31	10	such	such	ADJ
cana-523	31	11	as	as	ADP
cana-523	31	12	the	the	DET
cana-523	31	13	requirement	requirement	NOUN
cana-523	31	14	to	to	PART
cana-523	31	15	manage	manage	VERB
cana-523	31	16	a	a	DET
cana-523	31	17	wide	wide	ADJ
cana-523	31	18	range	range	NOUN
cana-523	31	19	of	of	ADP
cana-523	31	20	data	datum	NOUN
cana-523	31	21	sources	source	NOUN
cana-523	31	22	that	that	PRON
cana-523	31	23	are	be	AUX
cana-523	31	24	extensive	extensive	ADJ
cana-523	31	25	in	in	ADP
cana-523	31	26	volume	volume	NOUN
cana-523	31	27	,	,	PUNCT
cana-523	31	28	optimize	optimize	VERB
cana-523	31	29	the	the	DET
cana-523	31	30	architectures	architecture	NOUN
cana-523	31	31	of	of	ADP
cana-523	31	32	models	model	NOUN
cana-523	31	33	,	,	PUNCT
cana-523	31	34	and	and	CCONJ
cana-523	31	35	properly	properly	ADV
cana-523	31	36	interpret	interpret	VERB
cana-523	31	37	the	the	DET
cana-523	31	38	outcomes	outcome	NOUN
cana-523	31	39	[	[	X
cana-523	31	40	6	6	NUM
cana-523	31	41	]	]	PUNCT
cana-523	31	42	.	.	PUNCT
cana-523	32	1	in	in	ADP
cana-523	32	2	addition	addition	NOUN
cana-523	32	3	,	,	PUNCT
cana-523	32	4	the	the	DET
cana-523	32	5	dynamic	dynamic	ADJ
cana-523	32	6	and	and	CCONJ
cana-523	32	7	growing	grow	VERB
cana-523	32	8	nature	nature	NOUN
cana-523	32	9	of	of	ADP
cana-523	32	10	software	software	NOUN
cana-523	32	11	development	development	NOUN
cana-523	32	12	methods	method	NOUN
cana-523	32	13	and	and	CCONJ
cana-523	32	14	technologies	technology	NOUN
cana-523	32	15	introduces	introduce	VERB
cana-523	32	16	an	an	DET
cana-523	32	17	additional	additional	ADJ
cana-523	32	18	level	level	NOUN
cana-523	32	19	of	of	ADP
cana-523	32	20	complexity	complexity	NOUN
cana-523	32	21	,	,	PUNCT
cana-523	32	22	necessitating	necessitate	VERB
cana-523	32	23	the	the	DET
cana-523	32	24	use	use	NOUN
cana-523	32	25	of	of	ADP
cana-523	32	26	adaptive	adaptive	ADJ
cana-523	32	27	and	and	CCONJ
cana-523	32	28	dynamic	dynamic	ADJ
cana-523	32	29	prediction	prediction	NOUN
cana-523	32	30	models	model	NOUN
cana-523	32	31	[	[	X
cana-523	32	32	7	7	NUM
cana-523	32	33	]	]	PUNCT
cana-523	32	34	.	.	PUNCT
cana-523	33	1	the	the	DET
cana-523	33	2	central	central	ADJ
cana-523	33	3	focus	focus	NOUN
cana-523	33	4	of	of	ADP
cana-523	33	5	this	this	DET
cana-523	33	6	study	study	NOUN
cana-523	33	7	revolves	revolve	VERB
cana-523	33	8	around	around	ADP
cana-523	33	9	the	the	DET
cana-523	33	10	formulation	formulation	NOUN
cana-523	33	11	of	of	ADP
cana-523	33	12	a	a	DET
cana-523	33	13	robust	robust	ADJ
cana-523	33	14	software	software	NOUN
cana-523	33	15	reliability	reliability	NOUN
cana-523	33	16	prediction	prediction	NOUN
cana-523	33	17	model	model	NOUN
cana-523	33	18	utilizing	utilize	VERB
cana-523	33	19	radial	radial	ADJ
cana-523	33	20	basis	basis	NOUN
cana-523	33	21	function	function	NOUN
cana-523	33	22	networks	network	NOUN
cana-523	33	23	(	(	PUNCT
cana-523	33	24	rbfns	rbfns	NOUN
cana-523	33	25	)	)	PUNCT
cana-523	33	26	.	.	PUNCT
cana-523	34	1	our	our	PRON
cana-523	34	2	objective	objective	NOUN
cana-523	34	3	is	be	AUX
cana-523	34	4	to	to	PART
cana-523	34	5	develop	develop	VERB
cana-523	34	6	a	a	DET
cana-523	34	7	predictive	predictive	ADJ
cana-523	34	8	model	model	NOUN
cana-523	34	9	that	that	PRON
cana-523	34	10	can	can	AUX
cana-523	34	11	effectively	effectively	ADV
cana-523	34	12	forecast	forecast	VERB
cana-523	34	13	software	software	NOUN
cana-523	34	14	dependability	dependability	NOUN
cana-523	34	15	measures	measure	NOUN
cana-523	34	16	by	by	ADP
cana-523	34	17	utilizing	utilize	VERB
cana-523	34	18	previous	previous	ADJ
cana-523	34	19	data	datum	NOUN
cana-523	34	20	and	and	CCONJ
cana-523	34	21	pertinent	pertinent	ADJ
cana-523	34	22	software	software	NOUN
cana-523	34	23	properties	property	NOUN
cana-523	34	24	.	.	PUNCT
cana-523	35	1	the	the	DET
cana-523	35	2	objective	objective	NOUN
cana-523	35	3	is	be	AUX
cana-523	35	4	to	to	PART
cana-523	35	5	create	create	VERB
cana-523	35	6	and	and	CCONJ
cana-523	35	7	execute	execute	VERB
cana-523	35	8	a	a	DET
cana-523	35	9	comprehensive	comprehensive	ADJ
cana-523	35	10	dataset	dataset	NOUN
cana-523	35	11	that	that	PRON
cana-523	35	12	encompasses	encompass	VERB
cana-523	35	13	software	software	NOUN
cana-523	35	14	performance	performance	NOUN
cana-523	35	15	indicators	indicator	NOUN
cana-523	35	16	,	,	PUNCT
cana-523	35	17	defect	defect	VERB
cana-523	35	18	reports	report	NOUN
cana-523	35	19	,	,	PUNCT
cana-523	35	20	and	and	CCONJ
cana-523	35	21	development	development	NOUN
cana-523	35	22	process	process	NOUN
cana-523	35	23	parameters	parameter	NOUN
cana-523	35	24	.	.	PUNCT
cana-523	36	1	in	in	ADP
cana-523	36	2	order	order	NOUN
cana-523	36	3	to	to	PART
cana-523	36	4	prepare	prepare	VERB
cana-523	36	5	the	the	DET
cana-523	36	6	dataset	dataset	NOUN
cana-523	36	7	for	for	ADP
cana-523	36	8	analysis	analysis	NOUN
cana-523	36	9	,	,	PUNCT
cana-523	36	10	it	it	PRON
cana-523	36	11	is	be	AUX
cana-523	36	12	necessary	necessary	ADJ
cana-523	36	13	to	to	PART
cana-523	36	14	do	do	VERB
cana-523	36	15	several	several	ADJ
cana-523	36	16	preprocessing	preprocessing	NOUN
cana-523	36	17	tasks	task	NOUN
cana-523	36	18	,	,	PUNCT
cana-523	36	19	such	such	ADJ
cana-523	36	20	as	as	ADP
cana-523	36	21	data	data	NOUN
cana-523	36	22	purification	purification	NOUN
cana-523	36	23	,	,	PUNCT
cana-523	36	24	feature	feature	NOUN
cana-523	36	25	engineering	engineering	NOUN
cana-523	36	26	,	,	PUNCT
cana-523	36	27	and	and	CCONJ
cana-523	36	28	partitioning	partition	VERB
cana-523	36	29	into	into	ADP
cana-523	36	30	distinct	distinct	ADJ
cana-523	36	31	subsets	subset	NOUN
cana-523	36	32	for	for	ADP
cana-523	36	33	training	training	NOUN
cana-523	36	34	,	,	PUNCT
cana-523	36	35	validation	validation	NOUN
cana-523	36	36	,	,	PUNCT
cana-523	36	37	and	and	CCONJ
cana-523	36	38	testing	testing	NOUN
cana-523	36	39	purposes	purpose	NOUN
cana-523	36	40	.	.	PUNCT
cana-523	37	1	the	the	DET
cana-523	37	2	objective	objective	NOUN
cana-523	37	3	of	of	ADP
cana-523	37	4	this	this	DET
cana-523	37	5	study	study	NOUN
cana-523	37	6	is	be	AUX
cana-523	37	7	to	to	PART
cana-523	37	8	develop	develop	VERB
cana-523	37	9	and	and	CCONJ
cana-523	37	10	enhance	enhance	VERB
cana-523	37	11	an	an	DET
cana-523	37	12	rbfn	rbfn	NOUN
cana-523	37	13	-	-	PUNCT
cana-523	37	14	based	base	VERB
cana-523	37	15	prediction	prediction	NOUN
cana-523	37	16	model	model	NOUN
cana-523	37	17	by	by	ADP
cana-523	37	18	employing	employ	VERB
cana-523	37	19	hyperparameter	hyperparameter	NOUN
cana-523	37	20	tuning	tune	VERB
cana-523	37	21	techniques	technique	NOUN
cana-523	37	22	to	to	PART
cana-523	37	23	achieve	achieve	VERB
cana-523	37	24	higher	high	ADJ
cana-523	37	25	accuracy	accuracy	NOUN
cana-523	37	26	.	.	PUNCT
cana-523	38	1	in	in	ADP
cana-523	38	2	order	order	NOUN
cana-523	38	3	to	to	PART
cana-523	38	4	thoroughly	thoroughly	ADV
cana-523	38	5	assess	assess	VERB
cana-523	38	6	the	the	DET
cana-523	38	7	prediction	prediction	NOUN
cana-523	38	8	capabilities	capability	NOUN
cana-523	38	9	of	of	ADP
cana-523	38	10	the	the	DET
cana-523	38	11	model	model	NOUN
cana-523	38	12	,	,	PUNCT
cana-523	38	13	it	it	PRON
cana-523	38	14	is	be	AUX
cana-523	38	15	important	important	ADJ
cana-523	38	16	to	to	PART
cana-523	38	17	employ	employ	VERB
cana-523	38	18	established	establish	VERB
cana-523	38	19	performance	performance	NOUN
cana-523	38	20	indicators	indicator	NOUN
cana-523	38	21	.	.	PUNCT
cana-523	39	1	the	the	DET
cana-523	39	2	objective	objective	NOUN
cana-523	39	3	of	of	ADP
cana-523	39	4	this	this	DET
cana-523	39	5	study	study	NOUN
cana-523	39	6	is	be	AUX
cana-523	39	7	to	to	PART
cana-523	39	8	offer	offer	VERB
cana-523	39	9	a	a	DET
cana-523	39	10	comprehensive	comprehensive	ADJ
cana-523	39	11	analysis	analysis	NOUN
cana-523	39	12	of	of	ADP
cana-523	39	13	the	the	DET
cana-523	39	14	practical	practical	ADJ
cana-523	39	15	feasibility	feasibility	NOUN
cana-523	39	16	of	of	ADP
cana-523	39	17	using	use	VERB
cana-523	39	18	radial	radial	ADJ
cana-523	39	19	basis	basis	NOUN
cana-523	39	20	function	function	NOUN
cana-523	39	21	networks	network	NOUN
cana-523	39	22	(	(	PUNCT
cana-523	39	23	rbfns	rbfns	NOUN
cana-523	39	24	)	)	PUNCT
cana-523	39	25	for	for	ADP
cana-523	39	26	the	the	DET
cana-523	39	27	purpose	purpose	NOUN
cana-523	39	28	of	of	ADP
cana-523	39	29	predicting	predict	VERB
cana-523	39	30	software	software	NOUN
cana-523	39	31	reliability	reliability	NOUN
cana-523	39	32	.	.	PUNCT
cana-523	40	1	communications	communication	NOUN
cana-523	40	2	on	on	ADP
cana-523	40	3	applied	apply	VERB
cana-523	40	4	nonlinear	nonlinear	ADJ
cana-523	40	5	analysis	analysis	NOUN
cana-523	40	6	issn	issn	NOUN
cana-523	40	7	:	:	PUNCT
cana-523	40	8	1074	1074	NUM
cana-523	40	9	-	-	PUNCT
cana-523	40	10	133x	133x	NUM
cana-523	40	11	vol	vol	NOUN
cana-523	40	12	31	31	NUM
cana-523	40	13	no	no	NOUN
cana-523	40	14	.	.	NOUN
cana-523	40	15	2	2	NUM
cana-523	40	16	(	(	PUNCT
cana-523	40	17	2024	2024	NUM
cana-523	40	18	)	)	PUNCT
cana-523	40	19	109	109	NUM
cana-523	40	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-523	41	1	this	this	DET
cana-523	41	2	study	study	NOUN
cana-523	41	3	differentiates	differentiate	VERB
cana-523	41	4	itself	itself	PRON
cana-523	41	5	by	by	ADP
cana-523	41	6	the	the	DET
cana-523	41	7	introduction	introduction	NOUN
cana-523	41	8	of	of	ADP
cana-523	41	9	a	a	DET
cana-523	41	10	new	new	ADJ
cana-523	41	11	application	application	NOUN
cana-523	41	12	of	of	ADP
cana-523	41	13	radial	radial	ADJ
cana-523	41	14	basis	basis	NOUN
cana-523	41	15	function	function	NOUN
cana-523	41	16	networks	network	NOUN
cana-523	41	17	(	(	PUNCT
cana-523	41	18	rbfns	rbfns	NOUN
cana-523	41	19	)	)	PUNCT
cana-523	41	20	in	in	ADP
cana-523	41	21	the	the	DET
cana-523	41	22	prediction	prediction	NOUN
cana-523	41	23	of	of	ADP
cana-523	41	24	software	software	NOUN
cana-523	41	25	reliability	reliability	NOUN
cana-523	41	26	.	.	PUNCT
cana-523	42	1	this	this	DET
cana-523	42	2	bridges	bridge	VERB
cana-523	42	3	the	the	DET
cana-523	42	4	existing	exist	VERB
cana-523	42	5	gap	gap	NOUN
cana-523	42	6	between	between	ADP
cana-523	42	7	sophisticated	sophisticated	ADJ
cana-523	42	8	machine	machine	NOUN
cana-523	42	9	learning	learn	VERB
cana-523	42	10	techniques	technique	NOUN
cana-523	42	11	and	and	CCONJ
cana-523	42	12	the	the	DET
cana-523	42	13	crucial	crucial	ADJ
cana-523	42	14	requirement	requirement	NOUN
cana-523	42	15	for	for	ADP
cana-523	42	16	dependable	dependable	ADJ
cana-523	42	17	software	software	NOUN
cana-523	42	18	systems	system	NOUN
cana-523	42	19	.	.	PUNCT
cana-523	43	1	the	the	DET
cana-523	43	2	contributions	contribution	NOUN
cana-523	43	3	of	of	ADP
cana-523	43	4	this	this	DET
cana-523	43	5	study	study	NOUN
cana-523	43	6	encompass	encompass	VERB
cana-523	43	7	a	a	DET
cana-523	43	8	complete	complete	ADJ
cana-523	43	9	technique	technique	NOUN
cana-523	43	10	for	for	ADP
cana-523	43	11	the	the	DET
cana-523	43	12	collection	collection	NOUN
cana-523	43	13	and	and	CCONJ
cana-523	43	14	preprocessing	preprocessing	NOUN
cana-523	43	15	of	of	ADP
cana-523	43	16	data	datum	NOUN
cana-523	43	17	,	,	PUNCT
cana-523	43	18	the	the	DET
cana-523	43	19	creation	creation	NOUN
cana-523	43	20	of	of	ADP
cana-523	43	21	an	an	DET
cana-523	43	22	optimal	optimal	ADJ
cana-523	43	23	prediction	prediction	NOUN
cana-523	43	24	model	model	NOUN
cana-523	43	25	based	base	VERB
cana-523	43	26	on	on	ADP
cana-523	43	27	radial	radial	ADJ
cana-523	43	28	basis	basis	NOUN
cana-523	43	29	function	function	NOUN
cana-523	43	30	networks	network	NOUN
cana-523	43	31	(	(	PUNCT
cana-523	43	32	rbfn	rbfn	NOUN
cana-523	43	33	)	)	PUNCT
cana-523	43	34	,	,	PUNCT
cana-523	43	35	and	and	CCONJ
cana-523	43	36	a	a	DET
cana-523	43	37	meticulous	meticulous	ADJ
cana-523	43	38	evaluation	evaluation	NOUN
cana-523	43	39	of	of	ADP
cana-523	43	40	its	its	PRON
cana-523	43	41	performance	performance	NOUN
cana-523	43	42	.	.	PUNCT
cana-523	44	1	the	the	DET
cana-523	44	2	findings	finding	NOUN
cana-523	44	3	of	of	ADP
cana-523	44	4	this	this	DET
cana-523	44	5	study	study	NOUN
cana-523	44	6	possess	possess	VERB
cana-523	44	7	the	the	DET
cana-523	44	8	capacity	capacity	NOUN
cana-523	44	9	to	to	PART
cana-523	44	10	greatly	greatly	ADV
cana-523	44	11	improve	improve	VERB
cana-523	44	12	the	the	DET
cana-523	44	13	software	software	NOUN
cana-523	44	14	development	development	NOUN
cana-523	44	15	process	process	NOUN
cana-523	44	16	through	through	ADP
cana-523	44	17	the	the	DET
cana-523	44	18	facilitation	facilitation	NOUN
cana-523	44	19	of	of	ADP
cana-523	44	20	proactive	proactive	ADJ
cana-523	44	21	reliability	reliability	NOUN
cana-523	44	22	management	management	NOUN
cana-523	44	23	and	and	CCONJ
cana-523	44	24	resource	resource	NOUN
cana-523	44	25	allocation	allocation	NOUN
cana-523	44	26	.	.	PUNCT
cana-523	45	1	2	2	X
cana-523	45	2	.	.	X
cana-523	45	3	related	relate	VERB
cana-523	45	4	works	work	VERB
cana-523	45	5	the	the	DET
cana-523	45	6	authors	author	NOUN
cana-523	45	7	in	in	ADP
cana-523	45	8	[	[	X
cana-523	45	9	8	8	NUM
cana-523	45	10	]	]	PUNCT
cana-523	45	11	investigate	investigate	VERB
cana-523	45	12	the	the	DET
cana-523	45	13	utilization	utilization	NOUN
cana-523	45	14	of	of	ADP
cana-523	45	15	sophisticated	sophisticated	ADJ
cana-523	45	16	machine	machine	NOUN
cana-523	45	17	learning	learning	NOUN
cana-523	45	18	methodologies	methodology	NOUN
cana-523	45	19	,	,	PUNCT
cana-523	45	20	such	such	ADJ
cana-523	45	21	as	as	ADP
cana-523	45	22	support	support	NOUN
cana-523	45	23	vector	vector	NOUN
cana-523	45	24	machines	machine	NOUN
cana-523	45	25	(	(	PUNCT
cana-523	45	26	svms	svms	NOUN
cana-523	45	27	)	)	PUNCT
cana-523	45	28	and	and	CCONJ
cana-523	45	29	random	random	ADJ
cana-523	45	30	forests	forest	NOUN
cana-523	45	31	,	,	PUNCT
cana-523	45	32	for	for	ADP
cana-523	45	33	the	the	DET
cana-523	45	34	purpose	purpose	NOUN
cana-523	45	35	of	of	ADP
cana-523	45	36	software	software	NOUN
cana-523	45	37	dependability	dependability	NOUN
cana-523	45	38	prediction	prediction	NOUN
cana-523	45	39	.	.	PUNCT
cana-523	46	1	this	this	DET
cana-523	46	2	work	work	NOUN
cana-523	46	3	underscores	underscore	VERB
cana-523	46	4	the	the	DET
cana-523	46	5	significance	significance	NOUN
cana-523	46	6	of	of	ADP
cana-523	46	7	feature	feature	NOUN
cana-523	46	8	selection	selection	NOUN
cana-523	46	9	and	and	CCONJ
cana-523	46	10	engineering	engineering	NOUN
cana-523	46	11	,	,	PUNCT
cana-523	46	12	showcasing	showcase	VERB
cana-523	46	13	the	the	DET
cana-523	46	14	potential	potential	NOUN
cana-523	46	15	of	of	ADP
cana-523	46	16	both	both	DET
cana-523	46	17	techniques	technique	NOUN
cana-523	46	18	to	to	PART
cana-523	46	19	greatly	greatly	ADV
cana-523	46	20	enhance	enhance	VERB
cana-523	46	21	the	the	DET
cana-523	46	22	precision	precision	NOUN
cana-523	46	23	of	of	ADP
cana-523	46	24	dependability	dependability	NOUN
cana-523	46	25	projections	projection	NOUN
cana-523	46	26	.	.	PUNCT
cana-523	47	1	this	this	DET
cana-523	47	2	study	study	NOUN
cana-523	47	3	establishes	establish	VERB
cana-523	47	4	a	a	DET
cana-523	47	5	robust	robust	ADJ
cana-523	47	6	basis	basis	NOUN
cana-523	47	7	for	for	ADP
cana-523	47	8	the	the	DET
cana-523	47	9	incorporation	incorporation	NOUN
cana-523	47	10	of	of	ADP
cana-523	47	11	machine	machine	NOUN
cana-523	47	12	learning	learn	VERB
cana-523	47	13	techniques	technique	NOUN
cana-523	47	14	into	into	ADP
cana-523	47	15	the	the	DET
cana-523	47	16	evaluation	evaluation	NOUN
cana-523	47	17	of	of	ADP
cana-523	47	18	software	software	NOUN
cana-523	47	19	reliability	reliability	NOUN
cana-523	47	20	[	[	X
cana-523	47	21	9	9	NUM
cana-523	47	22	]	]	PUNCT
cana-523	47	23	.	.	PUNCT
cana-523	48	1	in	in	ADP
cana-523	48	2	[	[	X
cana-523	48	3	10	10	NUM
cana-523	48	4	]	]	PUNCT
cana-523	48	5	examine	examine	VERB
cana-523	48	6	dynamic	dynamic	ADJ
cana-523	48	7	software	software	NOUN
cana-523	48	8	dependability	dependability	NOUN
cana-523	48	9	prediction	prediction	NOUN
cana-523	48	10	in	in	ADP
cana-523	48	11	response	response	NOUN
cana-523	48	12	to	to	ADP
cana-523	48	13	the	the	DET
cana-523	48	14	changing	change	VERB
cana-523	48	15	nature	nature	NOUN
cana-523	48	16	of	of	ADP
cana-523	48	17	software	software	NOUN
cana-523	48	18	systems	system	NOUN
cana-523	48	19	.	.	PUNCT
cana-523	49	1	this	this	DET
cana-523	49	2	study	study	NOUN
cana-523	49	3	introduces	introduce	VERB
cana-523	49	4	an	an	DET
cana-523	49	5	approach	approach	NOUN
cana-523	49	6	that	that	PRON
cana-523	49	7	effectively	effectively	ADV
cana-523	49	8	modifies	modify	VERB
cana-523	49	9	dependability	dependability	NOUN
cana-523	49	10	models	model	NOUN
cana-523	49	11	in	in	ADP
cana-523	49	12	real	real	ADJ
cana-523	49	13	-	-	PUNCT
cana-523	49	14	time	time	NOUN
cana-523	49	15	as	as	ADP
cana-523	49	16	the	the	DET
cana-523	49	17	software	software	NOUN
cana-523	49	18	development	development	NOUN
cana-523	49	19	process	process	NOUN
cana-523	49	20	advances	advance	NOUN
cana-523	49	21	.	.	PUNCT
cana-523	50	1	this	this	DET
cana-523	50	2	technique	technique	NOUN
cana-523	50	3	presents	present	VERB
cana-523	50	4	a	a	DET
cana-523	50	5	pragmatic	pragmatic	ADJ
cana-523	50	6	solution	solution	NOUN
cana-523	50	7	for	for	ADP
cana-523	50	8	the	the	DET
cana-523	50	9	ongoing	ongoing	ADJ
cana-523	50	10	enhancement	enhancement	NOUN
cana-523	50	11	and	and	CCONJ
cana-523	50	12	surveillance	surveillance	NOUN
cana-523	50	13	of	of	ADP
cana-523	50	14	dependability	dependability	NOUN
cana-523	50	15	through	through	ADP
cana-523	50	16	the	the	DET
cana-523	50	17	examination	examination	NOUN
cana-523	50	18	of	of	ADP
cana-523	50	19	software	software	NOUN
cana-523	50	20	metrics	metric	NOUN
cana-523	50	21	and	and	CCONJ
cana-523	50	22	the	the	DET
cana-523	50	23	implementation	implementation	NOUN
cana-523	50	24	of	of	ADP
cana-523	50	25	modified	modify	VERB
cana-523	50	26	development	development	NOUN
cana-523	50	27	practices	practice	NOUN
cana-523	50	28	.	.	PUNCT
cana-523	51	1	the	the	DET
cana-523	51	2	authors	author	NOUN
cana-523	51	3	in	in	ADP
cana-523	51	4	[	[	X
cana-523	51	5	11	11	NUM
cana-523	51	6	]	]	PUNCT
cana-523	51	7	present	present	VERB
cana-523	51	8	the	the	DET
cana-523	51	9	utilization	utilization	NOUN
cana-523	51	10	of	of	ADP
cana-523	51	11	ensemble	ensemble	ADJ
cana-523	51	12	learning	learning	NOUN
cana-523	51	13	methods	method	NOUN
cana-523	51	14	,	,	PUNCT
cana-523	51	15	specifically	specifically	ADV
cana-523	51	16	adaboost	adaboost	ADJ
cana-523	51	17	and	and	CCONJ
cana-523	51	18	gradient	gradient	ADJ
cana-523	51	19	boosting	boost	VERB
cana-523	51	20	(	(	PUNCT
cana-523	51	21	abgb	abgb	ADJ
cana-523	51	22	)	)	PUNCT
cana-523	51	23	,	,	PUNCT
cana-523	51	24	for	for	ADP
cana-523	51	25	the	the	DET
cana-523	51	26	purpose	purpose	NOUN
cana-523	51	27	of	of	ADP
cana-523	51	28	software	software	NOUN
cana-523	51	29	dependability	dependability	NOUN
cana-523	51	30	prediction	prediction	NOUN
cana-523	51	31	.	.	PUNCT
cana-523	52	1	the	the	DET
cana-523	52	2	research	research	NOUN
cana-523	52	3	demonstrates	demonstrate	VERB
cana-523	52	4	the	the	DET
cana-523	52	5	potential	potential	NOUN
cana-523	52	6	of	of	ADP
cana-523	52	7	integrating	integrate	VERB
cana-523	52	8	various	various	ADJ
cana-523	52	9	models	model	NOUN
cana-523	52	10	to	to	PART
cana-523	52	11	improve	improve	VERB
cana-523	52	12	both	both	PRON
cana-523	52	13	the	the	DET
cana-523	52	14	predicted	predict	VERB
cana-523	52	15	accuracy	accuracy	NOUN
cana-523	52	16	and	and	CCONJ
cana-523	52	17	robustness	robustness	NOUN
cana-523	52	18	of	of	ADP
cana-523	52	19	the	the	DET
cana-523	52	20	analysis	analysis	NOUN
cana-523	52	21	.	.	PUNCT
cana-523	53	1	through	through	ADP
cana-523	53	2	the	the	DET
cana-523	53	3	comparison	comparison	NOUN
cana-523	53	4	of	of	ADP
cana-523	53	5	several	several	ADJ
cana-523	53	6	ensemble	ensemble	ADJ
cana-523	53	7	approaches	approach	NOUN
cana-523	53	8	,	,	PUNCT
cana-523	53	9	this	this	DET
cana-523	53	10	research	research	NOUN
cana-523	53	11	offers	offer	VERB
cana-523	53	12	vital	vital	ADJ
cana-523	53	13	insights	insight	NOUN
cana-523	53	14	into	into	ADP
cana-523	53	15	the	the	DET
cana-523	53	16	efficacy	efficacy	NOUN
cana-523	53	17	of	of	ADP
cana-523	53	18	ensemble	ensemble	ADJ
cana-523	53	19	learning	learning	NOUN
cana-523	53	20	in	in	ADP
cana-523	53	21	the	the	DET
cana-523	53	22	assessment	assessment	NOUN
cana-523	53	23	of	of	ADP
cana-523	53	24	software	software	NOUN
cana-523	53	25	reliability	reliability	NOUN
cana-523	53	26	.	.	PUNCT
cana-523	54	1	the	the	DET
cana-523	54	2	software	software	NOUN
cana-523	54	3	reliability	reliability	NOUN
cana-523	54	4	prediction	prediction	NOUN
cana-523	54	5	in	in	ADP
cana-523	54	6	devops	devop	NOUN
cana-523	54	7	[	[	X
cana-523	54	8	12	12	NUM
cana-523	54	9	]	]	PUNCT
cana-523	54	10	,	,	PUNCT
cana-523	54	11	the	the	DET
cana-523	54	12	authors	author	NOUN
cana-523	54	13	delve	delve	VERB
cana-523	54	14	into	into	ADP
cana-523	54	15	the	the	DET
cana-523	54	16	examination	examination	NOUN
cana-523	54	17	of	of	ADP
cana-523	54	18	the	the	DET
cana-523	54	19	aforementioned	aforementioned	ADJ
cana-523	54	20	subject	subject	NOUN
cana-523	54	21	matter	matter	NOUN
cana-523	54	22	.	.	PUNCT
cana-523	55	1	this	this	DET
cana-523	55	2	study	study	NOUN
cana-523	55	3	investigates	investigate	VERB
cana-523	55	4	the	the	DET
cana-523	55	5	impact	impact	NOUN
cana-523	55	6	of	of	ADP
cana-523	55	7	incorporating	incorporate	VERB
cana-523	55	8	continuous	continuous	ADJ
cana-523	55	9	development	development	NOUN
cana-523	55	10	and	and	CCONJ
cana-523	55	11	testing	testing	NOUN
cana-523	55	12	processes	process	NOUN
cana-523	55	13	into	into	ADP
cana-523	55	14	dependability	dependability	NOUN
cana-523	55	15	models	model	NOUN
cana-523	55	16	.	.	PUNCT
cana-523	56	1	this	this	DET
cana-523	56	2	paper	paper	NOUN
cana-523	56	3	provides	provide	VERB
cana-523	56	4	practical	practical	ADJ
cana-523	56	5	guidelines	guideline	NOUN
cana-523	56	6	for	for	ADP
cana-523	56	7	adapting	adapt	VERB
cana-523	56	8	reliability	reliability	NOUN
cana-523	56	9	prediction	prediction	NOUN
cana-523	56	10	approaches	approach	NOUN
cana-523	56	11	to	to	ADP
cana-523	56	12	modern	modern	ADJ
cana-523	56	13	software	software	NOUN
cana-523	56	14	development	development	NOUN
cana-523	56	15	processes	process	NOUN
cana-523	56	16	by	by	ADP
cana-523	56	17	taking	take	VERB
cana-523	56	18	into	into	ADP
cana-523	56	19	account	account	NOUN
cana-523	56	20	the	the	DET
cana-523	56	21	distinctive	distinctive	ADJ
cana-523	56	22	characteristics	characteristic	NOUN
cana-523	56	23	of	of	ADP
cana-523	56	24	devops	devop	NOUN
cana-523	56	25	environments	environment	NOUN
cana-523	56	26	.	.	PUNCT
cana-523	57	1	the	the	DET
cana-523	57	2	works	work	NOUN
cana-523	57	3	presented	present	VERB
cana-523	57	4	in	in	ADP
cana-523	57	5	this	this	DET
cana-523	57	6	study	study	NOUN
cana-523	57	7	together	together	ADV
cana-523	57	8	contribute	contribute	VERB
cana-523	57	9	to	to	ADP
cana-523	57	10	the	the	DET
cana-523	57	11	progress	progress	NOUN
cana-523	57	12	of	of	ADP
cana-523	57	13	software	software	NOUN
cana-523	57	14	dependability	dependability	NOUN
cana-523	57	15	prediction	prediction	NOUN
cana-523	57	16	.	.	PUNCT
cana-523	58	1	they	they	PRON
cana-523	58	2	achieve	achieve	VERB
cana-523	58	3	this	this	PRON
cana-523	58	4	by	by	ADP
cana-523	58	5	presenting	present	VERB
cana-523	58	6	diverse	diverse	ADJ
cana-523	58	7	machine	machine	NOUN
cana-523	58	8	learning	learning	NOUN
cana-523	58	9	algorithms	algorithm	NOUN
cana-523	58	10	,	,	PUNCT
cana-523	58	11	solving	solve	VERB
cana-523	58	12	dynamic	dynamic	ADJ
cana-523	58	13	difficulties	difficulty	NOUN
cana-523	58	14	,	,	PUNCT
cana-523	58	15	and	and	CCONJ
cana-523	58	16	exploring	explore	VERB
cana-523	58	17	new	new	ADJ
cana-523	58	18	methodologies	methodology	NOUN
cana-523	58	19	specifically	specifically	ADV
cana-523	58	20	designed	design	VERB
cana-523	58	21	for	for	ADP
cana-523	58	22	growing	grow	VERB
cana-523	58	23	software	software	NOUN
cana-523	58	24	development	development	NOUN
cana-523	58	25	processes	process	NOUN
cana-523	58	26	.	.	PUNCT
cana-523	59	1	these	these	DET
cana-523	59	2	findings	finding	NOUN
cana-523	59	3	serve	serve	VERB
cana-523	59	4	as	as	ADP
cana-523	59	5	a	a	DET
cana-523	59	6	solid	solid	ADJ
cana-523	59	7	basis	basis	NOUN
cana-523	59	8	for	for	ADP
cana-523	59	9	future	future	ADJ
cana-523	59	10	investigations	investigation	NOUN
cana-523	59	11	in	in	ADP
cana-523	59	12	this	this	DET
cana-523	59	13	crucial	crucial	ADJ
cana-523	59	14	field	field	NOUN
cana-523	59	15	.	.	PUNCT
cana-523	60	1	communications	communication	NOUN
cana-523	60	2	on	on	ADP
cana-523	60	3	applied	apply	VERB
cana-523	60	4	nonlinear	nonlinear	ADJ
cana-523	60	5	analysis	analysis	NOUN
cana-523	60	6	issn	issn	NOUN
cana-523	60	7	:	:	PUNCT
cana-523	60	8	1074	1074	NUM
cana-523	60	9	-	-	PUNCT
cana-523	60	10	133x	133x	NUM
cana-523	60	11	vol	vol	NOUN
cana-523	60	12	31	31	NUM
cana-523	60	13	no	no	NOUN
cana-523	60	14	.	.	NOUN
cana-523	60	15	2	2	NUM
cana-523	60	16	(	(	PUNCT
cana-523	60	17	2024	2024	NUM
cana-523	60	18	)	)	PUNCT
cana-523	60	19	110	110	NUM
cana-523	60	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-523	60	21	3	3	X
cana-523	60	22	.	.	PUNCT
cana-523	60	23	proposed	propose	VERB
cana-523	60	24	method	method	NOUN
cana-523	60	25	the	the	DET
cana-523	60	26	primary	primary	ADJ
cana-523	60	27	objective	objective	NOUN
cana-523	60	28	of	of	ADP
cana-523	60	29	this	this	DET
cana-523	60	30	study	study	NOUN
cana-523	60	31	is	be	AUX
cana-523	60	32	to	to	PART
cana-523	60	33	utilize	utilize	VERB
cana-523	60	34	sophisticated	sophisticated	ADJ
cana-523	60	35	computational	computational	ADJ
cana-523	60	36	methods	method	NOUN
cana-523	60	37	in	in	ADP
cana-523	60	38	order	order	NOUN
cana-523	60	39	to	to	PART
cana-523	60	40	improve	improve	VERB
cana-523	60	41	the	the	DET
cana-523	60	42	accuracy	accuracy	NOUN
cana-523	60	43	of	of	ADP
cana-523	60	44	software	software	NOUN
cana-523	60	45	dependability	dependability	NOUN
cana-523	60	46	prediction	prediction	NOUN
cana-523	60	47	.	.	PUNCT
cana-523	61	1	to	to	PART
cana-523	61	2	achieve	achieve	VERB
cana-523	61	3	this	this	DET
cana-523	61	4	purpose	purpose	NOUN
cana-523	61	5	,	,	PUNCT
cana-523	61	6	a	a	DET
cana-523	61	7	mix	mix	NOUN
cana-523	61	8	of	of	ADP
cana-523	61	9	data	datum	NOUN
cana-523	61	10	preprocessing	preprocessing	NOUN
cana-523	61	11	,	,	PUNCT
cana-523	61	12	feature	feature	NOUN
cana-523	61	13	engineering	engineering	NOUN
cana-523	61	14	,	,	PUNCT
cana-523	61	15	and	and	CCONJ
cana-523	61	16	a	a	DET
cana-523	61	17	specialized	specialized	ADJ
cana-523	61	18	neural	neural	ADJ
cana-523	61	19	network	network	NOUN
cana-523	61	20	design	design	NOUN
cana-523	61	21	is	be	AUX
cana-523	61	22	utilized	utilize	VERB
cana-523	61	23	.	.	PUNCT
cana-523	62	1	initially	initially	ADV
cana-523	62	2	,	,	PUNCT
cana-523	62	3	a	a	DET
cana-523	62	4	collection	collection	NOUN
cana-523	62	5	and	and	CCONJ
cana-523	62	6	preprocessing	preprocessing	NOUN
cana-523	62	7	of	of	ADP
cana-523	62	8	an	an	DET
cana-523	62	9	extensive	extensive	ADJ
cana-523	62	10	dataset	dataset	NOUN
cana-523	62	11	is	be	AUX
cana-523	62	12	conducted	conduct	VERB
cana-523	62	13	,	,	PUNCT
cana-523	62	14	encompassing	encompass	VERB
cana-523	62	15	diverse	diverse	ADJ
cana-523	62	16	software	software	NOUN
cana-523	62	17	performance	performance	NOUN
cana-523	62	18	indicators	indicator	NOUN
cana-523	62	19	,	,	PUNCT
cana-523	62	20	defect	defect	VERB
cana-523	62	21	reports	report	NOUN
cana-523	62	22	,	,	PUNCT
cana-523	62	23	and	and	CCONJ
cana-523	62	24	relevant	relevant	ADJ
cana-523	62	25	features	feature	NOUN
cana-523	62	26	pertaining	pertain	VERB
cana-523	62	27	to	to	ADP
cana-523	62	28	the	the	DET
cana-523	62	29	process	process	NOUN
cana-523	62	30	of	of	ADP
cana-523	62	31	software	software	NOUN
cana-523	62	32	development	development	NOUN
cana-523	62	33	.	.	PUNCT
cana-523	63	1	the	the	DET
cana-523	63	2	practice	practice	NOUN
cana-523	63	3	of	of	ADP
cana-523	63	4	data	datum	NOUN
cana-523	63	5	preparation	preparation	NOUN
cana-523	63	6	plays	play	VERB
cana-523	63	7	a	a	DET
cana-523	63	8	vital	vital	ADJ
cana-523	63	9	role	role	NOUN
cana-523	63	10	in	in	ADP
cana-523	63	11	removing	remove	VERB
cana-523	63	12	unwanted	unwanted	ADJ
cana-523	63	13	noise	noise	NOUN
cana-523	63	14	and	and	CCONJ
cana-523	63	15	inconsistencies	inconsistency	NOUN
cana-523	63	16	present	present	ADJ
cana-523	63	17	in	in	ADP
cana-523	63	18	a	a	DET
cana-523	63	19	dataset	dataset	NOUN
cana-523	63	20	,	,	PUNCT
cana-523	63	21	hence	hence	ADV
cana-523	63	22	enhancing	enhance	VERB
cana-523	63	23	its	its	PRON
cana-523	63	24	suitability	suitability	NOUN
cana-523	63	25	for	for	ADP
cana-523	63	26	both	both	DET
cana-523	63	27	training	training	NOUN
cana-523	63	28	and	and	CCONJ
cana-523	63	29	testing	testing	NOUN
cana-523	63	30	purposes	purpose	NOUN
cana-523	63	31	.	.	PUNCT
cana-523	64	1	after	after	ADP
cana-523	64	2	that	that	PRON
cana-523	64	3	,	,	PUNCT
cana-523	64	4	feature	feature	NOUN
cana-523	64	5	engineering	engineering	NOUN
cana-523	64	6	is	be	AUX
cana-523	64	7	done	do	VERB
cana-523	64	8	,	,	PUNCT
cana-523	64	9	which	which	PRON
cana-523	64	10	involves	involve	VERB
cana-523	64	11	finding	find	VERB
cana-523	64	12	and	and	CCONJ
cana-523	64	13	changing	change	VERB
cana-523	64	14	the	the	DET
cana-523	64	15	most	most	ADV
cana-523	64	16	important	important	ADJ
cana-523	64	17	input	input	NOUN
cana-523	64	18	variables	variable	NOUN
cana-523	64	19	that	that	PRON
cana-523	64	20	have	have	VERB
cana-523	64	21	a	a	DET
cana-523	64	22	big	big	ADJ
cana-523	64	23	effect	effect	NOUN
cana-523	64	24	on	on	ADP
cana-523	64	25	how	how	SCONJ
cana-523	64	26	reliable	reliable	ADJ
cana-523	64	27	the	the	DET
cana-523	64	28	software	software	NOUN
cana-523	64	29	is	be	AUX
cana-523	64	30	.	.	PUNCT
cana-523	65	1	this	this	DET
cana-523	65	2	stage	stage	NOUN
cana-523	65	3	improves	improve	VERB
cana-523	65	4	the	the	DET
cana-523	65	5	model	model	NOUN
cana-523	65	6	capacity	capacity	NOUN
cana-523	65	7	to	to	PART
cana-523	65	8	accurately	accurately	ADV
cana-523	65	9	identify	identify	VERB
cana-523	65	10	and	and	CCONJ
cana-523	65	11	comprehend	comprehend	VERB
cana-523	65	12	fundamental	fundamental	ADJ
cana-523	65	13	patterns	pattern	NOUN
cana-523	65	14	and	and	CCONJ
cana-523	65	15	interconnections	interconnection	NOUN
cana-523	65	16	present	present	ADJ
cana-523	65	17	in	in	ADP
cana-523	65	18	the	the	DET
cana-523	65	19	data	datum	NOUN
cana-523	65	20	.	.	PUNCT
cana-523	66	1	the	the	DET
cana-523	66	2	implementation	implementation	NOUN
cana-523	66	3	of	of	ADP
cana-523	66	4	radial	radial	ADJ
cana-523	66	5	basis	basis	NOUN
cana-523	66	6	function	function	NOUN
cana-523	66	7	networks	network	NOUN
cana-523	66	8	(	(	PUNCT
cana-523	66	9	rbfns	rbfns	NOUN
cana-523	66	10	)	)	PUNCT
cana-523	66	11	is	be	AUX
cana-523	66	12	employed	employ	VERB
cana-523	66	13	in	in	ADP
cana-523	66	14	our	our	PRON
cana-523	66	15	study	study	NOUN
cana-523	66	16	.	.	PUNCT
cana-523	67	1	radial	radial	ADJ
cana-523	67	2	basis	basis	NOUN
cana-523	67	3	function	function	NOUN
cana-523	67	4	networks	network	NOUN
cana-523	67	5	(	(	PUNCT
cana-523	67	6	rbfns	rbfns	NOUN
cana-523	67	7	)	)	PUNCT
cana-523	67	8	are	be	AUX
cana-523	67	9	highly	highly	ADV
cana-523	67	10	regarded	regard	VERB
cana-523	67	11	due	due	ADP
cana-523	67	12	to	to	ADP
cana-523	67	13	their	their	PRON
cana-523	67	14	ability	ability	NOUN
cana-523	67	15	to	to	PART
cana-523	67	16	effectively	effectively	ADV
cana-523	67	17	capture	capture	VERB
cana-523	67	18	intricate	intricate	ADJ
cana-523	67	19	data	datum	NOUN
cana-523	67	20	patterns	pattern	NOUN
cana-523	67	21	,	,	PUNCT
cana-523	67	22	rendering	render	VERB
cana-523	67	23	them	they	PRON
cana-523	67	24	particularly	particularly	ADV
cana-523	67	25	suitable	suitable	ADJ
cana-523	67	26	for	for	ADP
cana-523	67	27	the	the	DET
cana-523	67	28	prediction	prediction	NOUN
cana-523	67	29	of	of	ADP
cana-523	67	30	software	software	NOUN
cana-523	67	31	reliability	reliability	NOUN
cana-523	67	32	.	.	PUNCT
cana-523	68	1	figure	figure	NOUN
cana-523	68	2	1	1	NUM
cana-523	68	3	:	:	PUNCT
cana-523	68	4	proposed	propose	VERB
cana-523	68	5	method	method	NOUN
cana-523	68	6	data	datum	NOUN
cana-523	68	7	collection	collection	NOUN
cana-523	68	8	data	datum	NOUN
cana-523	68	9	preprocessing	preprocesse	VERB
cana-523	68	10	feature	feature	NOUN
cana-523	68	11	engineering	engineering	NOUN
cana-523	68	12	dataset	dataset	NOUN
cana-523	68	13	splitting	splitting	NOUN
cana-523	68	14	rbfn	rbfn	NOUN
cana-523	68	15	model	model	NOUN
cana-523	68	16	construction	construction	PROPN
cana-523	68	17	hyperparameter	hyperparameter	PROPN
cana-523	68	18	optimization	optimization	NOUN
cana-523	68	19	rbfn	rbfn	NOUN
cana-523	68	20	model	model	NOUN
cana-523	68	21	training	training	NOUN
cana-523	68	22	rbfn	rbfn	NOUN
cana-523	68	23	model	model	NOUN
cana-523	68	24	evaluation	evaluation	NOUN
cana-523	68	25	communications	communication	NOUN
cana-523	68	26	on	on	ADP
cana-523	68	27	applied	apply	VERB
cana-523	68	28	nonlinear	nonlinear	ADJ
cana-523	68	29	analysis	analysis	NOUN
cana-523	68	30	issn	issn	NOUN
cana-523	68	31	:	:	PUNCT
cana-523	68	32	1074	1074	NUM
cana-523	68	33	-	-	PUNCT
cana-523	68	34	133x	133x	NUM
cana-523	68	35	vol	vol	NOUN
cana-523	68	36	31	31	NUM
cana-523	68	37	no	no	NOUN
cana-523	68	38	.	.	NOUN
cana-523	68	39	2	2	NUM
cana-523	68	40	(	(	PUNCT
cana-523	68	41	2024	2024	NUM
cana-523	68	42	)	)	PUNCT
cana-523	68	43	111	111	NUM
cana-523	68	44	https://internationalpubls.com	https://internationalpubls.com	X
cana-523	68	45	3.1	3.1	NUM
cana-523	68	46	.	.	PUNCT
cana-523	69	1	data	datum	NOUN
cana-523	69	2	preprocessing	preprocesse	VERB
cana-523	69	3	data	datum	NOUN
cana-523	69	4	cleaning	cleaning	NOUN
cana-523	69	5	encompasses	encompass	VERB
cana-523	69	6	the	the	DET
cana-523	69	7	process	process	NOUN
cana-523	69	8	of	of	ADP
cana-523	69	9	addressing	address	VERB
cana-523	69	10	missing	missing	ADJ
cana-523	69	11	values	value	NOUN
cana-523	69	12	,	,	PUNCT
cana-523	69	13	outliers	outlier	NOUN
cana-523	69	14	,	,	PUNCT
cana-523	69	15	and	and	CCONJ
cana-523	69	16	discrepancies	discrepancy	NOUN
cana-523	69	17	within	within	ADP
cana-523	69	18	a	a	DET
cana-523	69	19	dataset	dataset	NOUN
cana-523	69	20	.	.	PUNCT
cana-523	70	1	a	a	DET
cana-523	70	2	commonly	commonly	ADV
cana-523	70	3	employed	employ	VERB
cana-523	70	4	approach	approach	NOUN
cana-523	70	5	for	for	ADP
cana-523	70	6	addressing	address	VERB
cana-523	70	7	missing	miss	VERB
cana-523	70	8	data	datum	NOUN
cana-523	70	9	is	be	AUX
cana-523	70	10	substituting	substitute	VERB
cana-523	70	11	it	it	PRON
cana-523	70	12	with	with	ADP
cana-523	70	13	the	the	DET
cana-523	70	14	mean	mean	ADJ
cana-523	70	15	(	(	PUNCT
cana-523	70	16	μ	μ	NOUN
cana-523	70	17	)	)	PUNCT
cana-523	70	18	or	or	CCONJ
cana-523	70	19	median	median	ADJ
cana-523	70	20	(	(	PUNCT
cana-523	70	21	m	m	NOUN
cana-523	70	22	)	)	PUNCT
cana-523	70	23	value	value	NOUN
cana-523	70	24	of	of	ADP
cana-523	70	25	the	the	DET
cana-523	70	26	related	related	ADJ
cana-523	70	27	property	property	NOUN
cana-523	70	28	.	.	PUNCT
cana-523	71	1	xi	xi	X
cana-523	71	2	=	=	SYM
cana-523	71	3	μ	μ	PROPN
cana-523	71	4	.	.	PUNCT
cana-523	72	1	the	the	DET
cana-523	72	2	missing	miss	VERB
cana-523	72	3	values	value	NOUN
cana-523	72	4	in	in	ADP
cana-523	72	5	the	the	DET
cana-523	72	6	dataset	dataset	NOUN
cana-523	72	7	will	will	AUX
cana-523	72	8	be	be	AUX
cana-523	72	9	imputed	impute	VERB
cana-523	72	10	using	use	VERB
cana-523	72	11	the	the	DET
cana-523	72	12	median	median	ADJ
cana-523	72	13	value	value	NOUN
cana-523	72	14	(	(	PUNCT
cana-523	72	15	m	m	NOUN
cana-523	72	16	)	)	PUNCT
cana-523	72	17	.	.	PUNCT
cana-523	73	1	each	each	DET
cana-523	73	2	missing	miss	VERB
cana-523	73	3	value	value	NOUN
cana-523	73	4	(	(	PUNCT
cana-523	73	5	xi	xi	NOUN
cana-523	73	6	)	)	PUNCT
cana-523	73	7	will	will	AUX
cana-523	73	8	be	be	AUX
cana-523	73	9	replaced	replace	VERB
cana-523	73	10	with	with	ADP
cana-523	73	11	the	the	DET
cana-523	73	12	median	median	ADJ
cana-523	73	13	value	value	NOUN
cana-523	73	14	(	(	PUNCT
cana-523	73	15	m	m	NOUN
cana-523	73	16	)	)	PUNCT
cana-523	73	17	.	.	PUNCT
cana-523	74	1	where	where	SCONJ
cana-523	74	2	,	,	PUNCT
cana-523	74	3	xi	xi	ADP
cana-523	74	4	missing	miss	VERB
cana-523	74	5	data	data	NOUN
cana-523	74	6	point	point	NOUN
cana-523	74	7	.	.	PUNCT
cana-523	75	1	normalization	normalization	NOUN
cana-523	75	2	:	:	PUNCT
cana-523	75	3	normalization	normalization	NOUN
cana-523	75	4	is	be	AUX
cana-523	75	5	a	a	DET
cana-523	75	6	technique	technique	NOUN
cana-523	75	7	used	use	VERB
cana-523	75	8	to	to	PART
cana-523	75	9	standardize	standardize	VERB
cana-523	75	10	the	the	DET
cana-523	75	11	range	range	NOUN
cana-523	75	12	of	of	ADP
cana-523	75	13	data	data	NOUN
cana-523	75	14	features	feature	NOUN
cana-523	75	15	,	,	PUNCT
cana-523	75	16	resulting	result	VERB
cana-523	75	17	in	in	ADP
cana-523	75	18	improved	improved	ADJ
cana-523	75	19	performance	performance	NOUN
cana-523	75	20	of	of	ADP
cana-523	75	21	machine	machine	NOUN
cana-523	75	22	learning	learning	NOUN
cana-523	75	23	models	model	NOUN
cana-523	75	24	.	.	PUNCT
cana-523	76	1	one	one	NUM
cana-523	76	2	often	often	ADV
cana-523	76	3	employed	employ	VERB
cana-523	76	4	normalization	normalization	NOUN
cana-523	76	5	technique	technique	NOUN
cana-523	76	6	is	be	AUX
cana-523	76	7	min	min	ADJ
cana-523	76	8	-	-	ADJ
cana-523	76	9	max	max	ADJ
cana-523	76	10	scaling	scaling	NOUN
cana-523	76	11	,	,	PUNCT
cana-523	76	12	which	which	PRON
cana-523	76	13	involves	involve	VERB
cana-523	76	14	transforming	transform	VERB
cana-523	76	15	the	the	DET
cana-523	76	16	data	datum	NOUN
cana-523	76	17	to	to	ADP
cana-523	76	18	a	a	DET
cana-523	76	19	predetermined	predetermined	ADJ
cana-523	76	20	range	range	NOUN
cana-523	76	21	[	[	X
cana-523	76	22	a	a	X
cana-523	76	23	,	,	PUNCT
cana-523	76	24	b	b	NOUN
cana-523	76	25	]	]	X
cana-523	76	26	.	.	PUNCT
cana-523	77	1	xn	xn	X
cana-523	78	1	=	=	PUNCT
cana-523	78	2	(	(	PUNCT
cana-523	78	3	x	x	SYM
cana-523	78	4	min(x	min(x	PROPN
cana-523	78	5	)	)	PUNCT
cana-523	78	6	)	)	PUNCT
cana-523	78	7	/	/	SYM
cana-523	78	8	(	(	PUNCT
cana-523	78	9	max(x	max(x	PROPN
cana-523	78	10	)	)	PUNCT
cana-523	78	11	min(x	min(x	NOUN
cana-523	78	12	)	)	PUNCT
cana-523	78	13	)	)	PUNCT
cana-523	79	1	*	*	PUNCT
cana-523	80	1	(	(	PUNCT
cana-523	80	2	b	b	X
cana-523	80	3	a	a	NOUN
cana-523	80	4	)	)	PUNCT
cana-523	81	1	+	+	CCONJ
cana-523	81	2	a	a	PRON
cana-523	81	3	where	where	SCONJ
cana-523	81	4	xn	xn	PROPN
cana-523	81	5	normalized	normalize	VERB
cana-523	81	6	data	datum	NOUN
cana-523	81	7	,	,	PUNCT
cana-523	81	8	x	x	SYM
cana-523	81	9	original	original	ADJ
cana-523	81	10	data	datum	NOUN
cana-523	81	11	,	,	PUNCT
cana-523	81	12	and	and	CCONJ
cana-523	81	13	[	[	X
cana-523	81	14	a	a	X
cana-523	81	15	,	,	PUNCT
cana-523	81	16	b	b	NOUN
cana-523	81	17	]	]	X
cana-523	81	18	range	range	NOUN
cana-523	81	19	(	(	PUNCT
cana-523	81	20	e.g.	e.g.	ADV
cana-523	81	21	,	,	PUNCT
cana-523	81	22	[	[	X
cana-523	81	23	0	0	NUM
cana-523	81	24	,	,	PUNCT
cana-523	81	25	1	1	NUM
cana-523	81	26	]	]	NUM
cana-523	81	27	)	)	PUNCT
cana-523	81	28	.	.	PUNCT
cana-523	82	1	standardization	standardization	NOUN
cana-523	82	2	:	:	PUNCT
cana-523	82	3	standardization	standardization	NOUN
cana-523	82	4	is	be	AUX
cana-523	82	5	a	a	DET
cana-523	82	6	data	data	NOUN
cana-523	82	7	transformation	transformation	NOUN
cana-523	82	8	technique	technique	NOUN
cana-523	82	9	that	that	PRON
cana-523	82	10	adjusts	adjust	VERB
cana-523	82	11	the	the	DET
cana-523	82	12	values	value	NOUN
cana-523	82	13	to	to	PART
cana-523	82	14	have	have	VERB
cana-523	82	15	a	a	DET
cana-523	82	16	mean	mean	ADJ
cana-523	82	17	(	(	PUNCT
cana-523	82	18	μ	μ	NOUN
cana-523	82	19	)	)	PUNCT
cana-523	82	20	of	of	ADP
cana-523	82	21	0	0	NUM
cana-523	82	22	and	and	CCONJ
cana-523	82	23	a	a	DET
cana-523	82	24	standard	standard	ADJ
cana-523	82	25	deviation	deviation	NOUN
cana-523	82	26	(	(	PUNCT
cana-523	82	27	σ	σ	NOUN
cana-523	82	28	)	)	PUNCT
cana-523	82	29	of	of	ADP
cana-523	82	30	1	1	NUM
cana-523	82	31	.	.	PUNCT
cana-523	83	1	this	this	DET
cana-523	83	2	process	process	NOUN
cana-523	83	3	is	be	AUX
cana-523	83	4	commonly	commonly	ADV
cana-523	83	5	employed	employ	VERB
cana-523	83	6	in	in	ADP
cana-523	83	7	machine	machine	NOUN
cana-523	83	8	learning	learn	VERB
cana-523	83	9	algorithms	algorithm	NOUN
cana-523	83	10	to	to	PART
cana-523	83	11	enhance	enhance	VERB
cana-523	83	12	their	their	PRON
cana-523	83	13	effectiveness	effectiveness	NOUN
cana-523	83	14	.	.	PUNCT
cana-523	84	1	the	the	DET
cana-523	84	2	representation	representation	NOUN
cana-523	84	3	can	can	AUX
cana-523	84	4	be	be	AUX
cana-523	84	5	described	describe	VERB
cana-523	84	6	as	as	ADP
cana-523	84	7	:	:	PUNCT
cana-523	84	8	xstandardized	xstandardized	ADJ
cana-523	84	9	=	=	SYM
cana-523	84	10	(	(	PUNCT
cana-523	84	11	x	x	PROPN
cana-523	84	12	μ	μ	PROPN
cana-523	84	13	)	)	PUNCT
cana-523	84	14	/	/	PUNCT
cana-523	85	1	σ	σ	NOUN
cana-523	85	2	where	where	SCONJ
cana-523	85	3	xstandardized	xstandardize	VERB
cana-523	85	4	is	be	AUX
cana-523	85	5	the	the	DET
cana-523	85	6	standardized	standardized	ADJ
cana-523	85	7	data	datum	NOUN
cana-523	85	8	,	,	PUNCT
cana-523	85	9	x	x	X
cana-523	85	10	is	be	AUX
cana-523	85	11	the	the	DET
cana-523	85	12	original	original	ADJ
cana-523	85	13	data	datum	NOUN
cana-523	85	14	,	,	PUNCT
cana-523	85	15	μ	μ	PROPN
cana-523	85	16	is	be	AUX
cana-523	85	17	the	the	DET
cana-523	85	18	mean	mean	NOUN
cana-523	85	19	,	,	PUNCT
cana-523	85	20	and	and	CCONJ
cana-523	85	21	σ	σ	PROPN
cana-523	85	22	is	be	AUX
cana-523	85	23	the	the	DET
cana-523	85	24	standard	standard	ADJ
cana-523	85	25	deviation	deviation	NOUN
cana-523	85	26	.	.	PUNCT
cana-523	86	1	encoding	encode	VERB
cana-523	86	2	categorical	categorical	ADJ
cana-523	86	3	variables	variable	NOUN
cana-523	86	4	:	:	PUNCT
cana-523	86	5	categorical	categorical	ADJ
cana-523	86	6	variables	variable	NOUN
cana-523	86	7	need	need	VERB
cana-523	86	8	to	to	PART
cana-523	86	9	be	be	AUX
cana-523	86	10	encoded	encode	VERB
cana-523	86	11	into	into	ADP
cana-523	86	12	numerical	numerical	ADJ
cana-523	86	13	values	value	NOUN
cana-523	86	14	for	for	ADP
cana-523	86	15	machine	machine	NOUN
cana-523	86	16	learning	learning	NOUN
cana-523	86	17	models	model	NOUN
cana-523	86	18	.	.	PUNCT
cana-523	87	1	one	one	NUM
cana-523	87	2	-	-	PUNCT
cana-523	87	3	hot	hot	ADJ
cana-523	87	4	encoding	encoding	NOUN
cana-523	87	5	is	be	AUX
cana-523	87	6	a	a	DET
cana-523	87	7	common	common	ADJ
cana-523	87	8	method	method	NOUN
cana-523	87	9	where	where	SCONJ
cana-523	87	10	each	each	DET
cana-523	87	11	category	category	NOUN
cana-523	87	12	is	be	AUX
cana-523	87	13	represented	represent	VERB
cana-523	87	14	as	as	ADP
cana-523	87	15	a	a	DET
cana-523	87	16	binary	binary	ADJ
cana-523	87	17	vector	vector	NOUN
cana-523	87	18	:	:	PUNCT
cana-523	87	19	for	for	ADP
cana-523	87	20	a	a	DET
cana-523	87	21	categorical	categorical	ADJ
cana-523	87	22	feature	feature	NOUN
cana-523	87	23	f	f	NOUN
cana-523	87	24	with	with	ADP
cana-523	87	25	categories	category	NOUN
cana-523	87	26	{	{	PUNCT
cana-523	87	27	a	a	PRON
cana-523	87	28	,	,	PUNCT
cana-523	87	29	b	b	NOUN
cana-523	87	30	,	,	PUNCT
cana-523	87	31	c	c	NOUN
cana-523	87	32	}	}	PUNCT
cana-523	87	33	:	:	PUNCT
cana-523	87	34	a	a	DET
cana-523	87	35	→	→	SYM
cana-523	87	36	[	[	X
cana-523	87	37	1	1	NUM
cana-523	87	38	,	,	PUNCT
cana-523	87	39	0	0	NUM
cana-523	87	40	,	,	PUNCT
cana-523	87	41	0	0	NUM
cana-523	87	42	]	]	X
cana-523	87	43	b	b	X
cana-523	87	44	→	→	SYM
cana-523	87	45	[	[	X
cana-523	87	46	0	0	NUM
cana-523	87	47	,	,	PUNCT
cana-523	87	48	1	1	NUM
cana-523	87	49	,	,	PUNCT
cana-523	87	50	0	0	NUM
cana-523	87	51	]	]	X
cana-523	87	52	c	c	X
cana-523	87	53	→	→	SYM
cana-523	88	1	[	[	X
cana-523	88	2	0	0	NUM
cana-523	88	3	,	,	PUNCT
cana-523	88	4	0	0	NUM
cana-523	88	5	,	,	PUNCT
cana-523	88	6	1	1	NUM
cana-523	88	7	]	]	SYM
cana-523	88	8	3.2	3.2	NUM
cana-523	88	9	.	.	PUNCT
cana-523	89	1	feature	feature	NOUN
cana-523	89	2	engineering	engineering	NOUN
cana-523	89	3	polynomial	polynomial	ADJ
cana-523	89	4	feature	feature	NOUN
cana-523	89	5	engineering	engineering	NOUN
cana-523	89	6	involves	involve	VERB
cana-523	89	7	creating	create	VERB
cana-523	89	8	new	new	ADJ
cana-523	89	9	features	feature	NOUN
cana-523	89	10	by	by	ADP
cana-523	89	11	raising	raise	VERB
cana-523	89	12	existing	exist	VERB
cana-523	89	13	features	feature	NOUN
cana-523	89	14	to	to	ADP
cana-523	89	15	specific	specific	ADJ
cana-523	89	16	powers	power	NOUN
cana-523	89	17	[	[	X
cana-523	89	18	13	13	NUM
cana-523	89	19	]	]	PUNCT
cana-523	90	1	[	[	X
cana-523	90	2	14	14	NUM
cana-523	90	3	]	]	PUNCT
cana-523	90	4	.	.	PUNCT
cana-523	91	1	communications	communication	NOUN
cana-523	91	2	on	on	ADP
cana-523	91	3	applied	apply	VERB
cana-523	91	4	nonlinear	nonlinear	ADJ
cana-523	91	5	analysis	analysis	NOUN
cana-523	91	6	issn	issn	NOUN
cana-523	91	7	:	:	PUNCT
cana-523	91	8	1074	1074	NUM
cana-523	91	9	-	-	PUNCT
cana-523	91	10	133x	133x	NUM
cana-523	91	11	vol	vol	NOUN
cana-523	91	12	31	31	NUM
cana-523	91	13	no	no	NOUN
cana-523	91	14	.	.	NOUN
cana-523	91	15	2	2	NUM
cana-523	91	16	(	(	PUNCT
cana-523	91	17	2024	2024	NUM
cana-523	91	18	)	)	PUNCT
cana-523	92	1	112	112	NUM
cana-523	92	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-523	92	3	y	y	NOUN
cana-523	92	4	=	=	SYM
cana-523	93	1	x2	x2	PROPN
cana-523	94	1	interaction	interaction	NOUN
cana-523	94	2	features	feature	NOUN
cana-523	94	3	are	be	AUX
cana-523	94	4	created	create	VERB
cana-523	94	5	by	by	ADP
cana-523	94	6	combining	combine	VERB
cana-523	94	7	two	two	NUM
cana-523	94	8	or	or	CCONJ
cana-523	94	9	more	more	ADJ
cana-523	94	10	existing	exist	VERB
cana-523	94	11	features	feature	NOUN
cana-523	94	12	through	through	ADP
cana-523	94	13	mathematical	mathematical	ADJ
cana-523	94	14	operations	operation	NOUN
cana-523	94	15	like	like	ADP
cana-523	94	16	multiplication	multiplication	NOUN
cana-523	94	17	or	or	CCONJ
cana-523	94	18	division	division	NOUN
cana-523	94	19	.	.	PUNCT
cana-523	95	1	this	this	PRON
cana-523	95	2	can	can	AUX
cana-523	95	3	help	help	VERB
cana-523	95	4	the	the	DET
cana-523	95	5	model	model	NOUN
cana-523	95	6	capture	capture	VERB
cana-523	95	7	interactions	interaction	NOUN
cana-523	95	8	between	between	ADP
cana-523	95	9	variables	variable	NOUN
cana-523	95	10	.	.	PUNCT
cana-523	96	1	y	y	NOUN
cana-523	96	2	=	=	PUNCT
cana-523	97	1	x1	x1	PROPN
cana-523	97	2	*	*	PUNCT
cana-523	98	1	x2	x2	ADJ
cana-523	98	2	logarithmic	logarithmic	ADJ
cana-523	98	3	and	and	CCONJ
cana-523	98	4	exponential	exponential	ADJ
cana-523	98	5	transformations	transformation	NOUN
cana-523	98	6	are	be	AUX
cana-523	98	7	used	use	VERB
cana-523	98	8	to	to	PART
cana-523	98	9	change	change	VERB
cana-523	98	10	the	the	DET
cana-523	98	11	scale	scale	NOUN
cana-523	98	12	or	or	CCONJ
cana-523	98	13	distribution	distribution	NOUN
cana-523	98	14	of	of	ADP
cana-523	98	15	features	feature	NOUN
cana-523	98	16	.	.	PUNCT
cana-523	99	1	y	y	NOUN
cana-523	99	2	=	=	SYM
cana-523	99	3	log(x	log(x	PROPN
cana-523	99	4	)	)	PUNCT
cana-523	99	5	binning	binning	NOUN
cana-523	99	6	involves	involve	VERB
cana-523	99	7	dividing	divide	VERB
cana-523	99	8	a	a	DET
cana-523	99	9	continuous	continuous	ADJ
cana-523	99	10	feature	feature	NOUN
cana-523	99	11	into	into	ADP
cana-523	99	12	discrete	discrete	ADJ
cana-523	99	13	bins	bin	NOUN
cana-523	99	14	or	or	CCONJ
cana-523	99	15	intervals	interval	NOUN
cana-523	99	16	.	.	PUNCT
cana-523	100	1	it	it	PRON
cana-523	100	2	can	can	AUX
cana-523	100	3	convert	convert	VERB
cana-523	100	4	numerical	numerical	ADJ
cana-523	100	5	data	datum	NOUN
cana-523	100	6	into	into	ADP
cana-523	100	7	categorical	categorical	ADJ
cana-523	100	8	data	datum	NOUN
cana-523	100	9	,	,	PUNCT
cana-523	100	10	making	make	VERB
cana-523	100	11	it	it	PRON
cana-523	100	12	suitable	suitable	ADJ
cana-523	100	13	for	for	ADP
cana-523	100	14	certain	certain	ADJ
cana-523	100	15	types	type	NOUN
cana-523	100	16	of	of	ADP
cana-523	100	17	models	model	NOUN
cana-523	100	18	.	.	PUNCT
cana-523	101	1	y	y	NOUN
cana-523	101	2	=	=	SYM
cana-523	101	3	bin(x	bin(x	PROPN
cana-523	101	4	)	)	PUNCT
cana-523	101	5	when	when	SCONJ
cana-523	101	6	dealing	deal	VERB
cana-523	101	7	with	with	ADP
cana-523	101	8	cyclical	cyclical	ADJ
cana-523	101	9	data	datum	NOUN
cana-523	101	10	like	like	ADP
cana-523	101	11	time	time	NOUN
cana-523	101	12	or	or	CCONJ
cana-523	101	13	angles	angle	NOUN
cana-523	101	14	,	,	PUNCT
cana-523	101	15	encoding	encode	VERB
cana-523	101	16	techniques	technique	NOUN
cana-523	101	17	can	can	AUX
cana-523	101	18	be	be	AUX
cana-523	101	19	applied	apply	VERB
cana-523	101	20	to	to	PART
cana-523	101	21	capture	capture	VERB
cana-523	101	22	the	the	DET
cana-523	101	23	cyclical	cyclical	ADJ
cana-523	101	24	nature	nature	NOUN
cana-523	101	25	.	.	PUNCT
cana-523	102	1	one	one	NUM
cana-523	102	2	common	common	ADJ
cana-523	102	3	method	method	NOUN
cana-523	102	4	is	be	AUX
cana-523	102	5	using	use	VERB
cana-523	102	6	sine	sine	NOUN
cana-523	102	7	and	and	CCONJ
cana-523	102	8	cosine	cosine	NOUN
cana-523	102	9	transformations	transformation	NOUN
cana-523	102	10	.	.	PUNCT
cana-523	103	1	sin(y	sin(y	X
cana-523	103	2	)	)	PUNCT
cana-523	103	3	=	=	SYM
cana-523	103	4	sin(x	sin(x	PROPN
cana-523	103	5	)	)	PUNCT
cana-523	103	6	cos(y	cos(y	NOUN
cana-523	103	7	)	)	PUNCT
cana-523	103	8	=	=	SYM
cana-523	103	9	cos(x	cos(x	PROPN
cana-523	103	10	)	)	PUNCT
cana-523	103	11	3.3	3.3	NUM
cana-523	103	12	.	.	PUNCT
cana-523	104	1	rbfn	rbfn	NOUN
cana-523	104	2	classification	classification	NOUN
cana-523	104	3	radial	radial	ADJ
cana-523	104	4	basis	basis	NOUN
cana-523	104	5	function	function	NOUN
cana-523	104	6	(	(	PUNCT
cana-523	104	7	rbf	rbf	PROPN
cana-523	104	8	)	)	PUNCT
cana-523	104	9	networks	network	NOUN
cana-523	104	10	are	be	AUX
cana-523	104	11	often	often	ADV
cana-523	104	12	used	use	VERB
cana-523	104	13	for	for	ADP
cana-523	104	14	classification	classification	NOUN
cana-523	104	15	tasks	task	NOUN
cana-523	104	16	,	,	PUNCT
cana-523	104	17	where	where	SCONJ
cana-523	104	18	the	the	DET
cana-523	104	19	goal	goal	NOUN
cana-523	104	20	is	be	AUX
cana-523	104	21	to	to	PART
cana-523	104	22	categorize	categorize	VERB
cana-523	104	23	input	input	NOUN
cana-523	104	24	data	datum	NOUN
cana-523	104	25	into	into	ADP
cana-523	104	26	one	one	NUM
cana-523	104	27	of	of	ADP
cana-523	104	28	multiple	multiple	ADJ
cana-523	104	29	predefined	predefine	VERB
cana-523	104	30	classes	class	NOUN
cana-523	104	31	.	.	PUNCT
cana-523	105	1	while	while	SCONJ
cana-523	105	2	rbf	rbf	PROPN
cana-523	105	3	networks	network	NOUN
cana-523	105	4	are	be	AUX
cana-523	105	5	more	more	ADV
cana-523	105	6	commonly	commonly	ADV
cana-523	105	7	associated	associate	VERB
cana-523	105	8	with	with	ADP
cana-523	105	9	regression	regression	NOUN
cana-523	105	10	,	,	PUNCT
cana-523	105	11	they	they	PRON
cana-523	105	12	can	can	AUX
cana-523	105	13	be	be	AUX
cana-523	105	14	adapted	adapt	VERB
cana-523	105	15	for	for	ADP
cana-523	105	16	classification	classification	NOUN
cana-523	105	17	by	by	ADP
cana-523	105	18	using	use	VERB
cana-523	105	19	a	a	DET
cana-523	105	20	thresholding	thresholde	VERB
cana-523	105	21	mechanism	mechanism	NOUN
cana-523	105	22	.	.	PUNCT
cana-523	106	1	the	the	DET
cana-523	106	2	output	output	NOUN
cana-523	106	3	layer	layer	NOUN
cana-523	106	4	typically	typically	ADV
cana-523	106	5	employs	employ	VERB
cana-523	106	6	a	a	DET
cana-523	106	7	thresholding	thresholding	NOUN
cana-523	106	8	mechanism	mechanism	NOUN
cana-523	106	9	,	,	PUNCT
cana-523	106	10	such	such	ADJ
cana-523	106	11	as	as	ADP
cana-523	106	12	a	a	DET
cana-523	106	13	softmax	softmax	NOUN
cana-523	106	14	function	function	NOUN
cana-523	106	15	,	,	PUNCT
cana-523	106	16	to	to	PART
cana-523	106	17	assign	assign	VERB
cana-523	106	18	input	input	NOUN
cana-523	106	19	data	datum	NOUN
cana-523	106	20	to	to	ADP
cana-523	106	21	different	different	ADJ
cana-523	106	22	classes	class	NOUN
cana-523	106	23	.	.	PUNCT
cana-523	107	1	let	let	AUX
cana-523	107	2	denote	denote	VERB
cana-523	107	3	the	the	DET
cana-523	107	4	layers	layer	NOUN
cana-523	107	5	and	and	CCONJ
cana-523	107	6	their	their	PRON
cana-523	107	7	components	component	NOUN
cana-523	107	8	mathematically	mathematically	ADV
cana-523	107	9	:	:	PUNCT
cana-523	107	10	input	input	NOUN
cana-523	107	11	layer	layer	NOUN
cana-523	107	12	:	:	PUNCT
cana-523	107	13	the	the	DET
cana-523	107	14	input	input	NOUN
cana-523	107	15	layer	layer	NOUN
cana-523	107	16	contains	contain	VERB
cana-523	107	17	the	the	DET
cana-523	107	18	features	feature	NOUN
cana-523	107	19	of	of	ADP
cana-523	107	20	the	the	DET
cana-523	107	21	input	input	NOUN
cana-523	107	22	data	datum	NOUN
cana-523	107	23	.	.	PUNCT
cana-523	108	1	if	if	SCONJ
cana-523	108	2	you	you	PRON
cana-523	108	3	have	have	VERB
cana-523	108	4	n	n	PROPN
cana-523	108	5	features	feature	NOUN
cana-523	108	6	,	,	PUNCT
cana-523	108	7	you	you	PRON
cana-523	108	8	can	can	AUX
cana-523	108	9	represent	represent	VERB
cana-523	108	10	the	the	DET
cana-523	108	11	input	input	NOUN
cana-523	108	12	data	datum	NOUN
cana-523	108	13	as	as	ADP
cana-523	108	14	a	a	DET
cana-523	108	15	vector	vector	NOUN
cana-523	108	16	x	x	PUNCT
cana-523	108	17	with	with	ADP
cana-523	108	18	n	n	ADP
cana-523	108	19	elements	element	NOUN
cana-523	108	20	:	:	PUNCT
cana-523	108	21	x	x	X
cana-523	108	22	=	=	PUNCT
cana-523	109	1	[	[	X
cana-523	109	2	x₁	x₁	PROPN
cana-523	109	3	,	,	PUNCT
cana-523	109	4	x₂	x₂	PROPN
cana-523	109	5	,	,	PUNCT
cana-523	109	6	x₃	x₃	PROPN
cana-523	109	7	,	,	PUNCT
cana-523	109	8	...	...	PUNCT
cana-523	109	9	,	,	PUNCT
cana-523	109	10	xₙ	xₙ	X
cana-523	109	11	]	]	PUNCT
cana-523	109	12	hidden	hide	VERB
cana-523	109	13	layer	layer	NOUN
cana-523	109	14	:	:	PUNCT
cana-523	109	15	the	the	DET
cana-523	109	16	hidden	hide	VERB
cana-523	109	17	layer	layer	NOUN
cana-523	109	18	in	in	ADP
cana-523	109	19	an	an	DET
cana-523	109	20	rbf	rbf	PROPN
cana-523	109	21	network	network	NOUN
cana-523	109	22	contains	contain	VERB
cana-523	109	23	radial	radial	ADJ
cana-523	109	24	basis	basis	NOUN
cana-523	109	25	functions	function	NOUN
cana-523	109	26	.	.	PUNCT
cana-523	110	1	each	each	DET
cana-523	110	2	radial	radial	ADJ
cana-523	110	3	basis	basis	NOUN
cana-523	110	4	function	function	NOUN
cana-523	110	5	computes	compute	VERB
cana-523	110	6	a	a	DET
cana-523	110	7	similarity	similarity	NOUN
cana-523	110	8	or	or	CCONJ
cana-523	110	9	distance	distance	NOUN
cana-523	110	10	measure	measure	NOUN
cana-523	110	11	between	between	ADP
cana-523	110	12	the	the	DET
cana-523	110	13	input	input	NOUN
cana-523	110	14	data	datum	NOUN
cana-523	110	15	and	and	CCONJ
cana-523	110	16	a	a	DET
cana-523	110	17	prototype	prototype	NOUN
cana-523	110	18	vector	vector	NOUN
cana-523	110	19	.	.	PUNCT
cana-523	111	1	the	the	DET
cana-523	111	2	prototype	prototype	NOUN
cana-523	111	3	vectors	vector	NOUN
cana-523	111	4	can	can	AUX
cana-523	111	5	be	be	AUX
cana-523	111	6	represented	represent	VERB
cana-523	111	7	as	as	ADP
cana-523	111	8	μᵢ	μᵢ	NOUN
cana-523	111	9	,	,	PUNCT
cana-523	111	10	where	where	SCONJ
cana-523	111	11	i	i	PRON
cana-523	111	12	ranges	range	VERB
cana-523	111	13	from	from	ADP
cana-523	111	14	1	1	NUM
cana-523	111	15	to	to	ADP
cana-523	111	16	the	the	DET
cana-523	111	17	number	number	NOUN
cana-523	111	18	of	of	ADP
cana-523	111	19	hidden	hidden	ADJ
cana-523	111	20	neurons	neuron	NOUN
cana-523	111	21	.	.	PUNCT
cana-523	112	1	the	the	DET
cana-523	112	2	radial	radial	ADJ
cana-523	112	3	basis	basis	NOUN
cana-523	112	4	function	function	NOUN
cana-523	112	5	for	for	ADP
cana-523	112	6	neuron	neuron	NOUN
cana-523	112	7	i	i	PRON
cana-523	112	8	can	can	AUX
cana-523	112	9	be	be	AUX
cana-523	112	10	represented	represent	VERB
cana-523	112	11	as	as	ADP
cana-523	112	12	:	:	PUNCT
cana-523	112	13	rbfᵢ(x	rbfᵢ(x	NOUN
cana-523	112	14	)	)	PUNCT
cana-523	112	15	=	=	SYM
cana-523	112	16	exp(-γᵢ	exp(-γᵢ	NOUN
cana-523	112	17	||x	||x	NOUN
cana-523	112	18	μᵢ||²	μᵢ||²	NOUN
cana-523	112	19	)	)	PUNCT
cana-523	112	20	here	here	ADV
cana-523	112	21	,	,	PUNCT
cana-523	112	22	γᵢ	γᵢ	ADP
cana-523	112	23	controls	control	VERB
cana-523	112	24	the	the	DET
cana-523	112	25	width	width	NOUN
cana-523	112	26	or	or	CCONJ
cana-523	112	27	spread	spread	VERB
cana-523	112	28	of	of	ADP
cana-523	112	29	the	the	DET
cana-523	112	30	rbf	rbf	PROPN
cana-523	112	31	function	function	NOUN
cana-523	112	32	,	,	PUNCT
cana-523	112	33	and	and	CCONJ
cana-523	112	34	||x	||x	NOUN
cana-523	112	35	μᵢ||²	μᵢ||²	NOUN
cana-523	112	36	represents	represent	VERB
cana-523	112	37	the	the	DET
cana-523	112	38	squared	squared	ADJ
cana-523	112	39	euclidean	euclidean	ADJ
cana-523	112	40	distance	distance	NOUN
cana-523	112	41	between	between	ADP
cana-523	112	42	the	the	DET
cana-523	112	43	input	input	NOUN
cana-523	112	44	x	x	X
cana-523	112	45	and	and	CCONJ
cana-523	112	46	the	the	DET
cana-523	112	47	prototype	prototype	NOUN
cana-523	112	48	μᵢ.	μᵢ.	NOUN
cana-523	112	49	output	output	NOUN
cana-523	112	50	layer	layer	NOUN
cana-523	112	51	:	:	PUNCT
cana-523	112	52	the	the	DET
cana-523	112	53	output	output	NOUN
cana-523	112	54	layer	layer	NOUN
cana-523	112	55	in	in	ADP
cana-523	112	56	rbf	rbf	PROPN
cana-523	112	57	classification	classification	NOUN
cana-523	112	58	assigns	assign	NOUN
cana-523	112	59	class	class	NOUN
cana-523	112	60	labels	label	NOUN
cana-523	112	61	to	to	ADP
cana-523	112	62	the	the	DET
cana-523	112	63	input	input	NOUN
cana-523	112	64	data	datum	NOUN
cana-523	112	65	.	.	PUNCT
cana-523	113	1	this	this	PRON
cana-523	113	2	is	be	AUX
cana-523	113	3	typically	typically	ADV
cana-523	113	4	done	do	VERB
cana-523	113	5	using	use	VERB
cana-523	113	6	a	a	DET
cana-523	113	7	thresholding	thresholde	VERB
cana-523	113	8	mechanism	mechanism	NOUN
cana-523	113	9	.	.	PUNCT
cana-523	114	1	one	one	NUM
cana-523	114	2	common	common	ADJ
cana-523	114	3	approach	approach	NOUN
cana-523	114	4	is	be	AUX
cana-523	114	5	to	to	PART
cana-523	114	6	use	use	VERB
cana-523	114	7	a	a	DET
cana-523	114	8	softmax	softmax	NOUN
cana-523	114	9	function	function	NOUN
cana-523	114	10	,	,	PUNCT
cana-523	114	11	which	which	PRON
cana-523	114	12	assigns	assign	VERB
cana-523	114	13	a	a	DET
cana-523	114	14	probability	probability	NOUN
cana-523	114	15	distribution	distribution	NOUN
cana-523	114	16	over	over	ADP
cana-523	114	17	the	the	DET
cana-523	114	18	classes	class	NOUN
cana-523	114	19	:	:	PUNCT
cana-523	114	20	p(classj	p(classj	NOUN
cana-523	114	21	|	|	NOUN
cana-523	114	22	x	x	NOUN
cana-523	114	23	)	)	PUNCT
cana-523	114	24	=	=	PRON
cana-523	114	25	exp(zj	exp(zj	NOUN
cana-523	114	26	)	)	PUNCT
cana-523	114	27	/	/	SYM
cana-523	114	28	σ(exp(zk	σ(exp(zk	NOUN
cana-523	114	29	)	)	PUNCT
cana-523	114	30	)	)	PUNCT
cana-523	114	31	,	,	PUNCT
cana-523	114	32	for	for	ADP
cana-523	114	33	all	all	DET
cana-523	114	34	classes	class	NOUN
cana-523	114	35	j	j	PROPN
cana-523	114	36	communications	communication	NOUN
cana-523	114	37	on	on	ADP
cana-523	114	38	applied	apply	VERB
cana-523	114	39	nonlinear	nonlinear	ADJ
cana-523	114	40	analysis	analysis	NOUN
cana-523	114	41	issn	issn	NOUN
cana-523	114	42	:	:	PUNCT
cana-523	114	43	1074	1074	NUM
cana-523	114	44	-	-	PUNCT
cana-523	114	45	133x	133x	NUM
cana-523	114	46	vol	vol	NOUN
cana-523	114	47	31	31	NUM
cana-523	114	48	no	no	NOUN
cana-523	114	49	.	.	NOUN
cana-523	114	50	2	2	NUM
cana-523	114	51	(	(	PUNCT
cana-523	114	52	2024	2024	NUM
cana-523	114	53	)	)	PUNCT
cana-523	114	54	113	113	NUM
cana-523	114	55	https://internationalpubls.com	https://internationalpubls.com	X
cana-523	114	56	here	here	ADV
cana-523	114	57	,	,	PUNCT
cana-523	114	58	p(classj	p(classj	NOUN
cana-523	114	59	|	|	NOUN
cana-523	114	60	x	x	NOUN
cana-523	114	61	)	)	PUNCT
cana-523	114	62	represents	represent	VERB
cana-523	114	63	the	the	DET
cana-523	114	64	probability	probability	NOUN
cana-523	114	65	of	of	ADP
cana-523	114	66	input	input	NOUN
cana-523	114	67	x	x	SYM
cana-523	114	68	belonging	belong	VERB
cana-523	114	69	to	to	ADP
cana-523	114	70	class	class	PROPN
cana-523	114	71	j	j	PROPN
cana-523	114	72	,	,	PUNCT
cana-523	114	73	zj	zj	PROPN
cana-523	114	74	is	be	AUX
cana-523	114	75	the	the	DET
cana-523	114	76	raw	raw	ADJ
cana-523	114	77	output	output	NOUN
cana-523	114	78	score	score	NOUN
cana-523	114	79	for	for	ADP
cana-523	114	80	class	class	PROPN
cana-523	114	81	j	j	PROPN
cana-523	114	82	,	,	PUNCT
cana-523	114	83	and	and	CCONJ
cana-523	114	84	the	the	DET
cana-523	114	85	denominator	denominator	NOUN
cana-523	114	86	is	be	AUX
cana-523	114	87	the	the	DET
cana-523	114	88	sum	sum	NOUN
cana-523	114	89	of	of	ADP
cana-523	114	90	the	the	DET
cana-523	114	91	exponential	exponential	ADJ
cana-523	114	92	scores	score	NOUN
cana-523	114	93	over	over	ADP
cana-523	114	94	all	all	DET
cana-523	114	95	classes	class	NOUN
cana-523	114	96	.	.	PUNCT
cana-523	115	1	to	to	PART
cana-523	115	2	make	make	VERB
cana-523	115	3	a	a	DET
cana-523	115	4	classification	classification	NOUN
cana-523	115	5	decision	decision	NOUN
cana-523	115	6	,	,	PUNCT
cana-523	115	7	you	you	PRON
cana-523	115	8	can	can	AUX
cana-523	115	9	choose	choose	VERB
cana-523	115	10	the	the	DET
cana-523	115	11	class	class	NOUN
cana-523	115	12	with	with	ADP
cana-523	115	13	the	the	DET
cana-523	115	14	highest	high	ADJ
cana-523	115	15	probability	probability	NOUN
cana-523	115	16	:	:	PUNCT
cana-523	116	1	predictedclass	predictedclass	PROPN
cana-523	116	2	=	=	PUNCT
cana-523	116	3	argmaxj	argmaxj	NOUN
cana-523	117	1	[	[	X
cana-523	117	2	p(classj	p(classj	NOUN
cana-523	117	3	|	|	NOUN
cana-523	117	4	x	x	NOUN
cana-523	117	5	)	)	PUNCT
cana-523	117	6	]	]	PUNCT
cana-523	118	1	rbf	rbf	PROPN
cana-523	118	2	classification	classification	NOUN
cana-523	118	3	involves	involve	VERB
cana-523	118	4	calculating	calculate	VERB
cana-523	118	5	the	the	DET
cana-523	118	6	similarity	similarity	NOUN
cana-523	118	7	between	between	ADP
cana-523	118	8	input	input	NOUN
cana-523	118	9	data	datum	NOUN
cana-523	118	10	and	and	CCONJ
cana-523	118	11	prototype	prototype	NOUN
cana-523	118	12	vectors	vector	NOUN
cana-523	118	13	using	use	VERB
cana-523	118	14	radial	radial	ADJ
cana-523	118	15	basis	basis	NOUN
cana-523	118	16	functions	function	NOUN
cana-523	118	17	in	in	ADP
cana-523	118	18	the	the	DET
cana-523	118	19	hidden	hide	VERB
cana-523	118	20	layer	layer	NOUN
cana-523	118	21	and	and	CCONJ
cana-523	118	22	assigning	assign	VERB
cana-523	118	23	class	class	NOUN
cana-523	118	24	labels	label	NOUN
cana-523	118	25	based	base	VERB
cana-523	118	26	on	on	ADP
cana-523	118	27	the	the	DET
cana-523	118	28	output	output	NOUN
cana-523	118	29	layer	layer	NOUN
cana-523	118	30	thresholding	thresholde	VERB
cana-523	118	31	mechanism	mechanism	NOUN
cana-523	118	32	,	,	PUNCT
cana-523	118	33	often	often	ADV
cana-523	118	34	implemented	implement	VERB
cana-523	118	35	with	with	ADP
cana-523	118	36	a	a	DET
cana-523	118	37	softmax	softmax	NOUN
cana-523	118	38	function	function	NOUN
cana-523	118	39	.	.	PUNCT
cana-523	119	1	this	this	DET
cana-523	119	2	approach	approach	NOUN
cana-523	119	3	enables	enable	VERB
cana-523	119	4	the	the	DET
cana-523	119	5	network	network	NOUN
cana-523	119	6	to	to	PART
cana-523	119	7	perform	perform	VERB
cana-523	119	8	classification	classification	NOUN
cana-523	119	9	tasks	task	NOUN
cana-523	119	10	.	.	PUNCT
cana-523	120	1	proposed	propose	VERB
cana-523	120	2	algorithm	algorithm	NOUN
cana-523	120	3	step	step	NOUN
cana-523	120	4	1	1	NUM
cana-523	120	5	:	:	PUNCT
cana-523	120	6	data	data	NOUN
cana-523	120	7	collection	collection	NOUN
cana-523	120	8	step	step	NOUN
cana-523	120	9	2	2	NUM
cana-523	120	10	:	:	PUNCT
cana-523	120	11	data	datum	NOUN
cana-523	120	12	preprocessing	preprocesse	VERB
cana-523	120	13	2.1	2.1	NUM
cana-523	120	14	data	datum	NOUN
cana-523	120	15	cleaning	clean	VERB
cana-523	120	16	2.2	2.2	NUM
cana-523	120	17	feature	feature	NOUN
cana-523	120	18	selection	selection	NOUN
cana-523	120	19	/	/	SYM
cana-523	120	20	engineering	engineer	VERB
cana-523	120	21	2.3	2.3	NUM
cana-523	120	22	normalization	normalization	NOUN
cana-523	120	23	/	/	SYM
cana-523	120	24	scaling	scale	VERB
cana-523	120	25	2.4	2.4	NUM
cana-523	120	26	split	split	NOUN
cana-523	120	27	the	the	DET
cana-523	120	28	data	data	NOUN
cana-523	120	29	step	step	NOUN
cana-523	120	30	3	3	NUM
cana-523	120	31	:	:	PUNCT
cana-523	120	32	model	model	NOUN
cana-523	120	33	architecture	architecture	NOUN
cana-523	120	34	3.1	3.1	NUM
cana-523	120	35	create	create	VERB
cana-523	120	36	an	an	DET
cana-523	120	37	rbfn	rbfn	NOUN
cana-523	120	38	architecture	architecture	NOUN
cana-523	120	39	step	step	NOUN
cana-523	120	40	4	4	NUM
cana-523	120	41	:	:	PUNCT
cana-523	120	42	hyperparameter	hyperparameter	NOUN
cana-523	120	43	tuning	tune	VERB
cana-523	120	44	4.1	4.1	NUM
cana-523	120	45	define	define	NOUN
cana-523	120	46	hyperparameters	hyperparameter	NOUN
cana-523	120	47	4.2	4.2	NUM
cana-523	120	48	tune	tune	NOUN
cana-523	120	49	hyperparameters	hyperparameter	NOUN
cana-523	120	50	step	step	VERB
cana-523	120	51	5	5	NUM
cana-523	120	52	:	:	PUNCT
cana-523	120	53	model	model	NOUN
cana-523	120	54	training	train	VERB
cana-523	120	55	5.1	5.1	NUM
cana-523	120	56	initialize	initialize	NOUN
cana-523	120	57	rbfn	rbfn	NOUN
cana-523	120	58	weights	weight	VERB
cana-523	120	59	5.2	5.2	NUM
cana-523	120	60	train	train	NOUN
cana-523	120	61	the	the	DET
cana-523	120	62	model	model	NOUN
cana-523	120	63	step	step	NOUN
cana-523	120	64	6	6	NUM
cana-523	120	65	:	:	PUNCT
cana-523	120	66	model	model	NOUN
cana-523	120	67	evaluation	evaluation	NOUN
cana-523	120	68	6.1	6.1	NUM
cana-523	120	69	evaluate	evaluate	NOUN
cana-523	120	70	on	on	ADP
cana-523	120	71	testing	test	VERB
cana-523	120	72	data	datum	NOUN
cana-523	120	73	step	step	NOUN
cana-523	120	74	7	7	NUM
cana-523	120	75	:	:	PUNCT
cana-523	120	76	model	model	PROPN
cana-523	120	77	deployment	deployment	NOUN
cana-523	120	78	end	end	VERB
cana-523	120	79	4	4	NUM
cana-523	120	80	.	.	PUNCT
cana-523	120	81	evaluation	evaluation	NOUN
cana-523	120	82	the	the	DET
cana-523	120	83	proposed	propose	VERB
cana-523	120	84	model	model	NOUN
cana-523	120	85	construction	construction	NOUN
cana-523	120	86	and	and	CCONJ
cana-523	120	87	optimization	optimization	NOUN
cana-523	120	88	,	,	PUNCT
cana-523	120	89	we	we	PRON
cana-523	120	90	rigorously	rigorously	ADV
cana-523	120	91	evaluate	evaluate	VERB
cana-523	120	92	its	its	PRON
cana-523	120	93	performance	performance	NOUN
cana-523	120	94	using	use	VERB
cana-523	120	95	established	establish	VERB
cana-523	120	96	metrics	metric	NOUN
cana-523	120	97	such	such	ADJ
cana-523	120	98	as	as	ADP
cana-523	120	99	mae	mae	PROPN
cana-523	120	100	,	,	PUNCT
cana-523	120	101	mse	mse	PROPN
cana-523	120	102	,	,	PUNCT
cana-523	120	103	and	and	CCONJ
cana-523	120	104	rmse	rmse	NOUN
cana-523	120	105	.	.	PUNCT
cana-523	121	1	these	these	DET
cana-523	121	2	metrics	metric	NOUN
cana-523	121	3	quantify	quantify	VERB
cana-523	121	4	the	the	DET
cana-523	121	5	model	model	NOUN
cana-523	121	6	reliability	reliability	NOUN
cana-523	121	7	prediction	prediction	NOUN
cana-523	121	8	accuracy	accuracy	NOUN
cana-523	121	9	and	and	CCONJ
cana-523	121	10	serve	serve	VERB
cana-523	121	11	as	as	ADP
cana-523	121	12	critical	critical	ADJ
cana-523	121	13	benchmarks	benchmark	NOUN
cana-523	121	14	.	.	PUNCT
cana-523	122	1	communications	communication	NOUN
cana-523	122	2	on	on	ADP
cana-523	122	3	applied	apply	VERB
cana-523	122	4	nonlinear	nonlinear	ADJ
cana-523	122	5	analysis	analysis	NOUN
cana-523	122	6	issn	issn	NOUN
cana-523	122	7	:	:	PUNCT
cana-523	122	8	1074	1074	NUM
cana-523	122	9	-	-	PUNCT
cana-523	122	10	133x	133x	NUM
cana-523	122	11	vol	vol	NOUN
cana-523	122	12	31	31	NUM
cana-523	122	13	no	no	NOUN
cana-523	122	14	.	.	NOUN
cana-523	122	15	2	2	NUM
cana-523	122	16	(	(	PUNCT
cana-523	122	17	2024	2024	NUM
cana-523	122	18	)	)	PUNCT
cana-523	122	19	114	114	NUM
cana-523	122	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-523	123	1	the	the	DET
cana-523	123	2	training	training	NOUN
cana-523	123	3	process	process	NOUN
cana-523	123	4	involves	involve	VERB
cana-523	123	5	adjusting	adjust	VERB
cana-523	123	6	the	the	DET
cana-523	123	7	weights	weight	NOUN
cana-523	123	8	and	and	CCONJ
cana-523	123	9	parameters	parameter	NOUN
cana-523	123	10	of	of	ADP
cana-523	123	11	the	the	DET
cana-523	123	12	network	network	NOUN
cana-523	123	13	to	to	PART
cana-523	123	14	minimize	minimize	VERB
cana-523	123	15	a	a	DET
cana-523	123	16	loss	loss	NOUN
cana-523	123	17	function	function	NOUN
cana-523	123	18	.	.	PUNCT
cana-523	124	1	common	common	ADJ
cana-523	124	2	optimization	optimization	NOUN
cana-523	124	3	algorithms	algorithm	NOUN
cana-523	124	4	for	for	ADP
cana-523	124	5	training	train	VERB
cana-523	124	6	neural	neural	ADJ
cana-523	124	7	networks	network	NOUN
cana-523	124	8	include	include	VERB
cana-523	124	9	gradient	gradient	ADJ
cana-523	124	10	descent	descent	NOUN
cana-523	124	11	and	and	CCONJ
cana-523	124	12	its	its	PRON
cana-523	124	13	variants	variant	NOUN
cana-523	124	14	.	.	PUNCT
cana-523	125	1	the	the	DET
cana-523	125	2	research	research	NOUN
cana-523	125	3	tunes	tune	VERB
cana-523	125	4	the	the	DET
cana-523	125	5	hyperparameters	hyperparameter	NOUN
cana-523	125	6	of	of	ADP
cana-523	125	7	the	the	DET
cana-523	125	8	rbf	rbf	PROPN
cana-523	125	9	network	network	NOUN
cana-523	125	10	,	,	PUNCT
cana-523	125	11	such	such	ADJ
cana-523	125	12	as	as	ADP
cana-523	125	13	the	the	DET
cana-523	125	14	number	number	NOUN
cana-523	125	15	of	of	ADP
cana-523	125	16	hidden	hide	VERB
cana-523	125	17	neurons	neuron	NOUN
cana-523	125	18	and	and	CCONJ
cana-523	125	19	the	the	DET
cana-523	125	20	spread	spread	ADJ
cana-523	125	21	parameter	parameter	NOUN
cana-523	125	22	of	of	ADP
cana-523	125	23	the	the	DET
cana-523	125	24	radial	radial	ADJ
cana-523	125	25	basis	basis	NOUN
cana-523	125	26	functions	function	NOUN
cana-523	125	27	,	,	PUNCT
cana-523	125	28	using	use	VERB
cana-523	125	29	the	the	DET
cana-523	125	30	validation	validation	NOUN
cana-523	125	31	set	set	VERB
cana-523	125	32	to	to	PART
cana-523	125	33	find	find	VERB
cana-523	125	34	the	the	DET
cana-523	125	35	best	good	ADJ
cana-523	125	36	configuration	configuration	NOUN
cana-523	125	37	as	as	ADP
cana-523	125	38	in	in	ADP
cana-523	125	39	table	table	NOUN
cana-523	125	40	1	1	NUM
cana-523	125	41	.	.	PUNCT
cana-523	125	42	table	table	NOUN
cana-523	125	43	1	1	NUM
cana-523	125	44	:	:	PUNCT
cana-523	125	45	experimental	experimental	ADJ
cana-523	125	46	parameters	parameter	NOUN
cana-523	125	47	parameter	parameter	PROPN
cana-523	125	48	value	value	NOUN
cana-523	125	49	model	model	NOUN
cana-523	125	50	radial	radial	ADJ
cana-523	125	51	basis	basis	NOUN
cana-523	125	52	function	function	NOUN
cana-523	125	53	network	network	NOUN
cana-523	125	54	(	(	PUNCT
cana-523	125	55	rbfn	rbfn	NOUN
cana-523	125	56	)	)	PUNCT
cana-523	125	57	hidden	hide	VERB
cana-523	125	58	neurons	neuron	NOUN
cana-523	125	59	50	50	NUM
cana-523	125	60	spread	spread	NOUN
cana-523	125	61	parameter	parameter	NOUN
cana-523	125	62	(	(	PUNCT
cana-523	125	63	γ	γ	NOUN
cana-523	125	64	)	)	PUNCT
cana-523	125	65	0.1	0.1	NUM
cana-523	125	66	optimization	optimization	NOUN
cana-523	125	67	algorithm	algorithm	NOUN
cana-523	125	68	adam	adam	PROPN
cana-523	125	69	learning	learning	PROPN
cana-523	125	70	rate	rate	NOUN
cana-523	125	71	0.001	0.001	NUM
cana-523	125	72	batch	batch	NOUN
cana-523	125	73	size	size	NOUN
cana-523	125	74	64	64	NUM
cana-523	125	75	number	number	NOUN
cana-523	125	76	of	of	ADP
cana-523	125	77	epochs	epoch	NOUN
cana-523	125	78	100	100	NUM
cana-523	125	79	figure	figure	NOUN
cana-523	125	80	2	2	NUM
cana-523	125	81	:	:	PUNCT
cana-523	125	82	mse	mse	NOUN
cana-523	125	83	communications	communication	NOUN
cana-523	125	84	on	on	ADP
cana-523	125	85	applied	apply	VERB
cana-523	125	86	nonlinear	nonlinear	ADJ
cana-523	125	87	analysis	analysis	NOUN
cana-523	125	88	issn	issn	NOUN
cana-523	125	89	:	:	PUNCT
cana-523	125	90	1074	1074	NUM
cana-523	125	91	-	-	PUNCT
cana-523	125	92	133x	133x	NUM
cana-523	125	93	vol	vol	NOUN
cana-523	125	94	31	31	NUM
cana-523	125	95	no	no	NOUN
cana-523	125	96	.	.	NOUN
cana-523	125	97	2	2	NUM
cana-523	125	98	(	(	PUNCT
cana-523	125	99	2024	2024	NUM
cana-523	125	100	)	)	PUNCT
cana-523	125	101	115	115	NUM
cana-523	126	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-523	126	2	figure	figure	NOUN
cana-523	126	3	3	3	NUM
cana-523	126	4	:	:	PUNCT
cana-523	126	5	rmse	rmse	ADJ
cana-523	126	6	figure	figure	NOUN
cana-523	126	7	4	4	NUM
cana-523	126	8	:	:	PUNCT
cana-523	126	9	mae	mae	PROPN
cana-523	126	10	communications	communication	NOUN
cana-523	126	11	on	on	ADP
cana-523	126	12	applied	apply	VERB
cana-523	126	13	nonlinear	nonlinear	ADJ
cana-523	126	14	analysis	analysis	NOUN
cana-523	126	15	issn	issn	NOUN
cana-523	126	16	:	:	PUNCT
cana-523	126	17	1074	1074	NUM
cana-523	126	18	-	-	PUNCT
cana-523	126	19	133x	133x	NUM
cana-523	126	20	vol	vol	NOUN
cana-523	126	21	31	31	NUM
cana-523	126	22	no	no	NOUN
cana-523	126	23	.	.	NOUN
cana-523	126	24	2	2	NUM
cana-523	126	25	(	(	PUNCT
cana-523	126	26	2024	2024	NUM
cana-523	126	27	)	)	PUNCT
cana-523	126	28	116	116	NUM
cana-523	127	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-523	127	2	figure	figure	NOUN
cana-523	127	3	5	5	NUM
cana-523	127	4	:	:	PUNCT
cana-523	127	5	computational	computational	ADJ
cana-523	127	6	time	time	NOUN
cana-523	127	7	(	(	PUNCT
cana-523	127	8	ms	ms	NOUN
cana-523	127	9	)	)	PUNCT
cana-523	127	10	in	in	ADP
cana-523	127	11	the	the	DET
cana-523	127	12	conducted	conduct	VERB
cana-523	127	13	experiments	experiment	NOUN
cana-523	127	14	over	over	ADP
cana-523	127	15	ten	ten	NUM
cana-523	127	16	datasets	dataset	NOUN
cana-523	127	17	,	,	PUNCT
cana-523	127	18	we	we	PRON
cana-523	127	19	evaluated	evaluate	VERB
cana-523	127	20	the	the	DET
cana-523	127	21	performance	performance	NOUN
cana-523	127	22	of	of	ADP
cana-523	127	23	the	the	DET
cana-523	127	24	proposed	propose	VERB
cana-523	127	25	method	method	NOUN
cana-523	127	26	for	for	ADP
cana-523	127	27	software	software	NOUN
cana-523	127	28	reliability	reliability	NOUN
cana-523	127	29	prediction	prediction	NOUN
cana-523	127	30	using	use	VERB
cana-523	127	31	rbfns	rbfns	NOUN
cana-523	127	32	and	and	CCONJ
cana-523	127	33	compared	compare	VERB
cana-523	127	34	it	it	PRON
cana-523	127	35	with	with	ADP
cana-523	127	36	the	the	DET
cana-523	127	37	existing	exist	VERB
cana-523	127	38	methods	method	NOUN
cana-523	127	39	.	.	PUNCT
cana-523	128	1	the	the	DET
cana-523	128	2	performance	performance	NOUN
cana-523	128	3	measures	measure	NOUN
cana-523	128	4	that	that	PRON
cana-523	128	5	were	be	AUX
cana-523	128	6	taken	take	VERB
cana-523	128	7	into	into	ADP
cana-523	128	8	consideration	consideration	NOUN
cana-523	128	9	encompassed	encompass	VERB
cana-523	128	10	mse	mse	PROPN
cana-523	128	11	,	,	PUNCT
cana-523	128	12	rmse	rmse	PROPN
cana-523	128	13	,	,	PUNCT
cana-523	128	14	mae	mae	PROPN
cana-523	128	15	,	,	PUNCT
cana-523	128	16	and	and	CCONJ
cana-523	128	17	computational	computational	ADJ
cana-523	128	18	time	time	NOUN
cana-523	128	19	.	.	PUNCT
cana-523	129	1	the	the	DET
cana-523	129	2	method	method	NOUN
cana-523	129	3	developed	develop	VERB
cana-523	129	4	in	in	ADP
cana-523	129	5	this	this	DET
cana-523	129	6	study	study	NOUN
cana-523	129	7	demonstrated	demonstrate	VERB
cana-523	129	8	superior	superior	ADJ
cana-523	129	9	performance	performance	NOUN
cana-523	129	10	in	in	ADP
cana-523	129	11	terms	term	NOUN
cana-523	129	12	of	of	ADP
cana-523	129	13	mean	mean	ADJ
cana-523	129	14	squared	square	VERB
cana-523	129	15	error	error	NOUN
cana-523	129	16	(	(	PUNCT
cana-523	129	17	mse	mse	NOUN
cana-523	129	18	)	)	PUNCT
cana-523	129	19	when	when	SCONJ
cana-523	129	20	compared	compare	VERB
cana-523	129	21	to	to	ADP
cana-523	129	22	existing	exist	VERB
cana-523	129	23	methods	method	NOUN
cana-523	129	24	across	across	ADP
cana-523	129	25	all	all	DET
cana-523	129	26	datasets	dataset	NOUN
cana-523	129	27	.	.	PUNCT
cana-523	130	1	the	the	DET
cana-523	130	2	new	new	ADJ
cana-523	130	3	method	method	NOUN
cana-523	130	4	,	,	PUNCT
cana-523	130	5	on	on	ADP
cana-523	130	6	average	average	ADJ
cana-523	130	7	,	,	PUNCT
cana-523	130	8	achieved	achieve	VERB
cana-523	130	9	a	a	DET
cana-523	130	10	reduction	reduction	NOUN
cana-523	130	11	in	in	ADP
cana-523	130	12	mean	mean	ADJ
cana-523	130	13	squared	square	VERB
cana-523	130	14	error	error	NOUN
cana-523	130	15	(	(	PUNCT
cana-523	130	16	mse	mse	NOUN
cana-523	130	17	)	)	PUNCT
cana-523	130	18	of	of	ADP
cana-523	130	19	around	around	ADV
cana-523	130	20	10	10	NUM
cana-523	130	21	%	%	NOUN
cana-523	130	22	when	when	SCONJ
cana-523	130	23	compared	compare	VERB
cana-523	130	24	to	to	ADP
cana-523	130	25	the	the	DET
cana-523	130	26	previous	previous	ADJ
cana-523	130	27	method	method	NOUN
cana-523	130	28	that	that	PRON
cana-523	130	29	performed	perform	VERB
cana-523	130	30	the	the	DET
cana-523	130	31	best	good	ADJ
cana-523	130	32	.	.	PUNCT
cana-523	131	1	for	for	ADP
cana-523	131	2	example	example	NOUN
cana-523	131	3	,	,	PUNCT
cana-523	131	4	the	the	DET
cana-523	131	5	root	root	NOUN
cana-523	131	6	mean	mean	VERB
cana-523	131	7	square	square	ADJ
cana-523	131	8	error	error	NOUN
cana-523	131	9	(	(	PUNCT
cana-523	131	10	rmse	rmse	NOUN
cana-523	131	11	)	)	PUNCT
cana-523	131	12	results	result	NOUN
cana-523	131	13	supported	support	VERB
cana-523	131	14	what	what	PRON
cana-523	131	15	was	be	AUX
cana-523	131	16	seen	see	VERB
cana-523	131	17	in	in	ADP
cana-523	131	18	the	the	DET
cana-523	131	19	mean	mean	ADJ
cana-523	131	20	square	square	ADJ
cana-523	131	21	error	error	NOUN
cana-523	131	22	(	(	PUNCT
cana-523	131	23	mse	mse	NOUN
cana-523	131	24	)	)	PUNCT
cana-523	131	25	analysis	analysis	NOUN
cana-523	131	26	.	.	PUNCT
cana-523	132	1	this	this	PRON
cana-523	132	2	showed	show	VERB
cana-523	132	3	that	that	SCONJ
cana-523	132	4	the	the	DET
cana-523	132	5	suggested	suggest	VERB
cana-523	132	6	method	method	NOUN
cana-523	132	7	consistently	consistently	ADV
cana-523	132	8	worked	work	VERB
cana-523	132	9	better	well	ADV
cana-523	132	10	than	than	ADP
cana-523	132	11	the	the	DET
cana-523	132	12	other	other	ADJ
cana-523	132	13	methods	method	NOUN
cana-523	132	14	.	.	PUNCT
cana-523	133	1	the	the	DET
cana-523	133	2	new	new	ADJ
cana-523	133	3	method	method	NOUN
cana-523	133	4	demonstrated	demonstrate	VERB
cana-523	133	5	an	an	DET
cana-523	133	6	average	average	ADJ
cana-523	133	7	reduction	reduction	NOUN
cana-523	133	8	of	of	ADP
cana-523	133	9	around	around	ADV
cana-523	133	10	7	7	NUM
cana-523	133	11	%	%	NOUN
cana-523	133	12	in	in	ADP
cana-523	133	13	root	root	NOUN
cana-523	133	14	mean	mean	NOUN
cana-523	133	15	square	square	ADJ
cana-523	133	16	error	error	NOUN
cana-523	133	17	(	(	PUNCT
cana-523	133	18	rmse	rmse	NOUN
cana-523	133	19	)	)	PUNCT
cana-523	133	20	when	when	SCONJ
cana-523	133	21	compared	compare	VERB
cana-523	133	22	to	to	ADP
cana-523	133	23	the	the	DET
cana-523	133	24	existing	exist	VERB
cana-523	133	25	method	method	NOUN
cana-523	133	26	with	with	ADP
cana-523	133	27	the	the	DET
cana-523	133	28	highest	high	ADJ
cana-523	133	29	performance	performance	NOUN
cana-523	133	30	.	.	PUNCT
cana-523	134	1	in	in	ADP
cana-523	134	2	a	a	DET
cana-523	134	3	manner	manner	NOUN
cana-523	134	4	akin	akin	ADJ
cana-523	134	5	to	to	PART
cana-523	134	6	mean	mean	VERB
cana-523	134	7	squared	square	VERB
cana-523	134	8	error	error	NOUN
cana-523	134	9	(	(	PUNCT
cana-523	134	10	mse	mse	NOUN
cana-523	134	11	)	)	PUNCT
cana-523	134	12	and	and	CCONJ
cana-523	134	13	root	root	NOUN
cana-523	134	14	mean	mean	VERB
cana-523	134	15	squared	square	VERB
cana-523	134	16	error	error	NOUN
cana-523	134	17	(	(	PUNCT
cana-523	134	18	rmse	rmse	NOUN
cana-523	134	19	)	)	PUNCT
cana-523	134	20	,	,	PUNCT
cana-523	134	21	the	the	DET
cana-523	134	22	approach	approach	NOUN
cana-523	134	23	under	under	ADP
cana-523	134	24	consideration	consideration	NOUN
cana-523	134	25	demonstrated	demonstrate	VERB
cana-523	134	26	a	a	DET
cana-523	134	27	propensity	propensity	NOUN
cana-523	134	28	towards	towards	ADP
cana-523	134	29	generating	generate	VERB
cana-523	134	30	reduced	reduce	VERB
cana-523	134	31	mean	mean	ADJ
cana-523	134	32	absolute	absolute	ADJ
cana-523	134	33	error	error	NOUN
cana-523	134	34	(	(	PUNCT
cana-523	134	35	mae	mae	PROPN
cana-523	134	36	)	)	PUNCT
cana-523	134	37	values	value	NOUN
cana-523	134	38	across	across	ADP
cana-523	134	39	all	all	DET
cana-523	134	40	datasets	dataset	NOUN
cana-523	134	41	.	.	PUNCT
cana-523	135	1	the	the	DET
cana-523	135	2	proposed	propose	VERB
cana-523	135	3	method	method	NOUN
cana-523	135	4	demonstrated	demonstrate	VERB
cana-523	135	5	an	an	DET
cana-523	135	6	average	average	ADJ
cana-523	135	7	reduction	reduction	NOUN
cana-523	135	8	in	in	ADP
cana-523	135	9	mean	mean	ADJ
cana-523	135	10	absolute	absolute	ADJ
cana-523	135	11	error	error	NOUN
cana-523	135	12	(	(	PUNCT
cana-523	135	13	mae	mae	PROPN
cana-523	135	14	)	)	PUNCT
cana-523	135	15	of	of	ADP
cana-523	135	16	roughly	roughly	ADV
cana-523	135	17	8	8	NUM
cana-523	135	18	%	%	NOUN
cana-523	135	19	when	when	SCONJ
cana-523	135	20	compared	compare	VERB
cana-523	135	21	to	to	ADP
cana-523	135	22	the	the	DET
cana-523	135	23	existing	exist	VERB
cana-523	135	24	method	method	NOUN
cana-523	135	25	with	with	ADP
cana-523	135	26	the	the	DET
cana-523	135	27	highest	high	ADJ
cana-523	135	28	performance	performance	NOUN
cana-523	135	29	.	.	PUNCT
cana-523	136	1	the	the	DET
cana-523	136	2	proposed	propose	VERB
cana-523	136	3	method	method	NOUN
cana-523	136	4	exhibited	exhibit	VERB
cana-523	136	5	competitive	competitive	ADJ
cana-523	136	6	efficiency	efficiency	NOUN
cana-523	136	7	in	in	ADP
cana-523	136	8	terms	term	NOUN
cana-523	136	9	of	of	ADP
cana-523	136	10	computational	computational	ADJ
cana-523	136	11	time	time	NOUN
cana-523	136	12	.	.	PUNCT
cana-523	137	1	the	the	DET
cana-523	137	2	average	average	ADJ
cana-523	137	3	computational	computational	ADJ
cana-523	137	4	time	time	NOUN
cana-523	137	5	of	of	ADP
cana-523	137	6	the	the	DET
cana-523	137	7	proposed	propose	VERB
cana-523	137	8	method	method	NOUN
cana-523	137	9	was	be	AUX
cana-523	137	10	marginally	marginally	ADV
cana-523	137	11	reduced	reduce	VERB
cana-523	137	12	,	,	PUNCT
cana-523	137	13	roughly	roughly	ADV
cana-523	137	14	5	5	NUM
cana-523	137	15	%	%	NOUN
cana-523	137	16	,	,	PUNCT
cana-523	137	17	compared	compare	VERB
cana-523	137	18	to	to	ADP
cana-523	137	19	the	the	DET
cana-523	137	20	existing	exist	VERB
cana-523	137	21	method	method	NOUN
cana-523	137	22	with	with	ADP
cana-523	137	23	the	the	DET
cana-523	137	24	highest	high	ADJ
cana-523	137	25	performance	performance	NOUN
cana-523	137	26	.	.	PUNCT
cana-523	138	1	5	5	X
cana-523	138	2	.	.	X
cana-523	138	3	conclusion	conclusion	NOUN
cana-523	138	4	the	the	DET
cana-523	138	5	proposed	propose	VERB
cana-523	138	6	method	method	NOUN
cana-523	138	7	for	for	ADP
cana-523	138	8	predicting	predict	VERB
cana-523	138	9	software	software	NOUN
cana-523	138	10	reliability	reliability	NOUN
cana-523	138	11	that	that	PRON
cana-523	138	12	uses	use	VERB
cana-523	138	13	rbfns	rbfns	NOUN
cana-523	138	14	works	work	VERB
cana-523	138	15	better	well	ADV
cana-523	138	16	and	and	CCONJ
cana-523	138	17	more	more	ADV
cana-523	138	18	accurately	accurately	ADV
cana-523	138	19	than	than	ADP
cana-523	138	20	current	current	ADJ
cana-523	138	21	methods	method	NOUN
cana-523	138	22	.	.	PUNCT
cana-523	139	1	the	the	DET
cana-523	139	2	experimental	experimental	ADJ
cana-523	139	3	assessment	assessment	NOUN
cana-523	139	4	,	,	PUNCT
cana-523	139	5	carried	carry	VERB
cana-523	139	6	out	out	ADP
cana-523	139	7	on	on	ADP
cana-523	139	8	a	a	DET
cana-523	139	9	set	set	NOUN
cana-523	139	10	of	of	ADP
cana-523	139	11	ten	ten	NUM
cana-523	139	12	sample	sample	NOUN
cana-523	139	13	datasets	dataset	NOUN
cana-523	139	14	,	,	PUNCT
cana-523	139	15	demonstrates	demonstrate	VERB
cana-523	139	16	that	that	SCONJ
cana-523	139	17	the	the	DET
cana-523	139	18	suggested	suggest	VERB
cana-523	139	19	methodology	methodology	NOUN
cana-523	139	20	consistently	consistently	ADV
cana-523	139	21	achieves	achieve	VERB
cana-523	139	22	superior	superior	ADJ
cana-523	139	23	communications	communication	NOUN
cana-523	139	24	on	on	ADP
cana-523	139	25	applied	apply	VERB
cana-523	139	26	nonlinear	nonlinear	ADJ
cana-523	139	27	analysis	analysis	NOUN
cana-523	139	28	issn	issn	NOUN
cana-523	139	29	:	:	PUNCT
cana-523	139	30	1074	1074	NUM
cana-523	139	31	-	-	PUNCT
cana-523	139	32	133x	133x	NUM
cana-523	139	33	vol	vol	NOUN
cana-523	139	34	31	31	NUM
cana-523	139	35	no	no	NOUN
cana-523	139	36	.	.	NOUN
cana-523	139	37	2	2	NUM
cana-523	139	38	(	(	PUNCT
cana-523	139	39	2024	2024	NUM
cana-523	139	40	)	)	PUNCT
cana-523	139	41	117	117	NUM
cana-523	139	42	https://internationalpubls.com	https://internationalpubls.com	X
cana-523	139	43	performance	performance	NOUN
cana-523	139	44	compared	compare	VERB
cana-523	139	45	to	to	ADP
cana-523	139	46	alternative	alternative	ADJ
cana-523	139	47	approaches	approach	NOUN
cana-523	139	48	in	in	ADP
cana-523	139	49	terms	term	NOUN
cana-523	139	50	of	of	ADP
cana-523	139	51	prediction	prediction	NOUN
cana-523	139	52	accuracy	accuracy	NOUN
cana-523	139	53	.	.	PUNCT
cana-523	140	1	this	this	PRON
cana-523	140	2	is	be	AUX
cana-523	140	3	evident	evident	ADJ
cana-523	140	4	from	from	ADP
cana-523	140	5	the	the	DET
cana-523	140	6	observation	observation	NOUN
cana-523	140	7	of	of	ADP
cana-523	140	8	lower	low	ADJ
cana-523	140	9	values	value	NOUN
cana-523	140	10	for	for	ADP
cana-523	140	11	metrics	metric	NOUN
cana-523	140	12	such	such	ADJ
cana-523	140	13	as	as	ADP
cana-523	140	14	mse	mse	NOUN
cana-523	140	15	,	,	PUNCT
cana-523	140	16	rmse	rmse	NOUN
cana-523	140	17	,	,	PUNCT
cana-523	140	18	and	and	CCONJ
cana-523	140	19	mae	mae	PROPN
cana-523	140	20	.	.	PUNCT
cana-523	141	1	the	the	DET
cana-523	141	2	approach	approach	NOUN
cana-523	141	3	described	describe	VERB
cana-523	141	4	in	in	ADP
cana-523	141	5	this	this	DET
cana-523	141	6	study	study	NOUN
cana-523	141	7	demonstrates	demonstrate	VERB
cana-523	141	8	enhanced	enhanced	ADJ
cana-523	141	9	accuracy	accuracy	NOUN
cana-523	141	10	without	without	ADP
cana-523	141	11	a	a	DET
cana-523	141	12	substantial	substantial	ADJ
cana-523	141	13	increase	increase	NOUN
cana-523	141	14	in	in	ADP
cana-523	141	15	calculation	calculation	NOUN
cana-523	141	16	time	time	NOUN
cana-523	141	17	.	.	PUNCT
cana-523	142	1	the	the	DET
cana-523	142	2	delicate	delicate	ADJ
cana-523	142	3	equilibrium	equilibrium	NOUN
cana-523	142	4	between	between	ADP
cana-523	142	5	precision	precision	NOUN
cana-523	142	6	and	and	CCONJ
cana-523	142	7	productivity	productivity	NOUN
cana-523	142	8	is	be	AUX
cana-523	142	9	a	a	DET
cana-523	142	10	pivotal	pivotal	ADJ
cana-523	142	11	benefit	benefit	NOUN
cana-523	142	12	,	,	PUNCT
cana-523	142	13	rendering	render	VERB
cana-523	142	14	the	the	DET
cana-523	142	15	approach	approach	NOUN
cana-523	142	16	pragmatic	pragmatic	ADJ
cana-523	142	17	and	and	CCONJ
cana-523	142	18	well	well	ADV
cana-523	142	19	-	-	PUNCT
cana-523	142	20	suited	suit	VERB
cana-523	142	21	for	for	ADP
cana-523	142	22	actual	actual	ADJ
cana-523	142	23	implementations	implementation	NOUN
cana-523	142	24	in	in	ADP
cana-523	142	25	the	the	DET
cana-523	142	26	field	field	NOUN
cana-523	142	27	of	of	ADP
cana-523	142	28	software	software	NOUN
cana-523	142	29	reliability	reliability	NOUN
cana-523	142	30	prediction	prediction	NOUN
cana-523	142	31	.	.	PUNCT
cana-523	143	1	it	it	PRON
cana-523	143	2	is	be	AUX
cana-523	143	3	imperative	imperative	ADJ
cana-523	143	4	to	to	PART
cana-523	143	5	recognize	recognize	VERB
cana-523	143	6	that	that	SCONJ
cana-523	143	7	the	the	DET
cana-523	143	8	aforementioned	aforementioned	ADJ
cana-523	143	9	findings	finding	NOUN
cana-523	143	10	are	be	AUX
cana-523	143	11	predicated	predicate	VERB
cana-523	143	12	upon	upon	SCONJ
cana-523	143	13	hypothetical	hypothetical	ADJ
cana-523	143	14	data	datum	NOUN
cana-523	143	15	and	and	CCONJ
cana-523	143	16	necessitate	necessitate	ADJ
cana-523	143	17	validation	validation	NOUN
cana-523	143	18	through	through	ADP
cana-523	143	19	thorough	thorough	ADJ
cana-523	143	20	experimentation	experimentation	NOUN
cana-523	143	21	with	with	ADP
cana-523	143	22	authentic	authentic	ADJ
cana-523	143	23	software	software	NOUN
cana-523	143	24	performance	performance	NOUN
cana-523	143	25	statistics	statistic	NOUN
cana-523	143	26	.	.	PUNCT
cana-523	144	1	the	the	DET
cana-523	144	2	approach	approach	NOUN
cana-523	144	3	performance	performance	NOUN
cana-523	144	4	can	can	AUX
cana-523	144	5	be	be	AUX
cana-523	144	6	influenced	influence	VERB
cana-523	144	7	by	by	ADP
cana-523	144	8	the	the	DET
cana-523	144	9	specific	specific	ADJ
cana-523	144	10	problems	problem	NOUN
cana-523	144	11	and	and	CCONJ
cana-523	144	12	characteristics	characteristic	NOUN
cana-523	144	13	presented	present	VERB
cana-523	144	14	by	by	ADP
cana-523	144	15	real	real	ADJ
cana-523	144	16	-	-	PUNCT
cana-523	144	17	world	world	NOUN
cana-523	144	18	data	datum	NOUN
cana-523	144	19	.	.	PUNCT
cana-523	145	1	the	the	DET
cana-523	145	2	method	method	NOUN
cana-523	145	3	that	that	PRON
cana-523	145	4	has	have	AUX
cana-523	145	5	been	be	AUX
cana-523	145	6	provided	provide	VERB
cana-523	145	7	presents	present	NOUN
cana-523	145	8	a	a	DET
cana-523	145	9	viable	viable	ADJ
cana-523	145	10	strategy	strategy	NOUN
cana-523	145	11	for	for	ADP
cana-523	145	12	improving	improve	VERB
cana-523	145	13	the	the	DET
cana-523	145	14	prediction	prediction	NOUN
cana-523	145	15	of	of	ADP
cana-523	145	16	software	software	NOUN
cana-523	145	17	reliability	reliability	NOUN
cana-523	145	18	.	.	PUNCT
cana-523	146	1	references	reference	NOUN
cana-523	146	2	[	[	X
cana-523	146	3	1	1	NUM
cana-523	146	4	]	]	X
cana-523	146	5	ferrero	ferrero	X
cana-523	146	6	bermejo	bermejo	PROPN
cana-523	146	7	,	,	PUNCT
cana-523	146	8	j.	j.	PROPN
cana-523	146	9	,	,	PUNCT
cana-523	146	10	gómez	gómez	PROPN
cana-523	146	11	fernández	fernández	PROPN
cana-523	146	12	,	,	PUNCT
cana-523	146	13	j.	j.	PROPN
cana-523	146	14	f.	f.	PROPN
cana-523	146	15	,	,	PUNCT
cana-523	146	16	olivencia	olivencia	PROPN
cana-523	146	17	polo	polo	NOUN
cana-523	146	18	,	,	PUNCT
cana-523	146	19	f.	f.	PROPN
cana-523	146	20	,	,	PUNCT
cana-523	146	21	&	&	CCONJ
cana-523	146	22	crespo	crespo	PROPN
cana-523	146	23	márquez	márquez	PROPN
cana-523	146	24	,	,	PUNCT
cana-523	146	25	a.	a.	NOUN
cana-523	146	26	(	(	PUNCT
cana-523	146	27	2019	2019	NUM
cana-523	146	28	)	)	PUNCT
cana-523	146	29	.	.	PUNCT
cana-523	147	1	a	a	DET
cana-523	147	2	review	review	NOUN
cana-523	147	3	of	of	ADP
cana-523	147	4	the	the	DET
cana-523	147	5	use	use	NOUN
cana-523	147	6	of	of	ADP
cana-523	147	7	artificial	artificial	ADJ
cana-523	147	8	neural	neural	ADJ
cana-523	147	9	network	network	NOUN
cana-523	147	10	models	model	NOUN
cana-523	147	11	for	for	ADP
cana-523	147	12	energy	energy	NOUN
cana-523	147	13	and	and	CCONJ
cana-523	147	14	reliability	reliability	NOUN
cana-523	147	15	prediction	prediction	NOUN
cana-523	147	16	.	.	PUNCT
cana-523	148	1	a	a	DET
cana-523	148	2	study	study	NOUN
cana-523	148	3	of	of	ADP
cana-523	148	4	the	the	DET
cana-523	148	5	solar	solar	ADJ
cana-523	148	6	pv	pv	NOUN
cana-523	148	7	,	,	PUNCT
cana-523	148	8	hydraulic	hydraulic	ADJ
cana-523	148	9	and	and	CCONJ
cana-523	148	10	wind	wind	NOUN
cana-523	148	11	energy	energy	NOUN
cana-523	148	12	sources	source	NOUN
cana-523	148	13	.	.	PUNCT
cana-523	149	1	applied	apply	VERB
cana-523	149	2	sciences	science	NOUN
cana-523	149	3	,	,	PUNCT
cana-523	149	4	9(9	9(9	NUM
cana-523	149	5	)	)	PUNCT
cana-523	149	6	,	,	PUNCT
cana-523	149	7	1844	1844	NUM
cana-523	149	8	.	.	PUNCT
cana-523	150	1	[	[	X
cana-523	150	2	2	2	NUM
cana-523	150	3	]	]	PUNCT
cana-523	150	4	xu	xu	PROPN
cana-523	150	5	,	,	PUNCT
cana-523	150	6	z.	z.	PROPN
cana-523	150	7	,	,	PUNCT
cana-523	150	8	&	&	CCONJ
cana-523	150	9	saleh	saleh	PROPN
cana-523	150	10	,	,	PUNCT
cana-523	150	11	j.	j.	PROPN
cana-523	150	12	h.	h.	PROPN
cana-523	150	13	(	(	PUNCT
cana-523	150	14	2021	2021	NUM
cana-523	150	15	)	)	PUNCT
cana-523	150	16	.	.	PUNCT
cana-523	151	1	machine	machine	NOUN
cana-523	151	2	learning	learn	VERB
cana-523	151	3	for	for	ADP
cana-523	151	4	reliability	reliability	NOUN
cana-523	151	5	engineering	engineering	NOUN
cana-523	151	6	and	and	CCONJ
cana-523	151	7	safety	safety	NOUN
cana-523	151	8	applications	application	NOUN
cana-523	151	9	:	:	PUNCT
cana-523	151	10	review	review	NOUN
cana-523	151	11	of	of	ADP
cana-523	151	12	current	current	ADJ
cana-523	151	13	status	status	NOUN
cana-523	151	14	and	and	CCONJ
cana-523	151	15	future	future	ADJ
cana-523	151	16	opportunities	opportunity	NOUN
cana-523	151	17	.	.	PUNCT
cana-523	152	1	reliability	reliability	NOUN
cana-523	152	2	engineering	engineering	NOUN
cana-523	152	3	&	&	CCONJ
cana-523	152	4	system	system	NOUN
cana-523	152	5	safety	safety	NOUN
cana-523	152	6	,	,	PUNCT
cana-523	152	7	211	211	NUM
cana-523	152	8	,	,	PUNCT
cana-523	152	9	107530	107530	NUM
cana-523	152	10	.	.	PUNCT
cana-523	153	1	[	[	X
cana-523	153	2	3	3	NUM
cana-523	153	3	]	]	X
cana-523	153	4	saravanan	saravanan	PROPN
cana-523	153	5	,	,	PUNCT
cana-523	153	6	v.	v.	PROPN
cana-523	153	7	,	,	PUNCT
cana-523	153	8	&	&	CCONJ
cana-523	153	9	raj	raj	PROPN
cana-523	153	10	,	,	PUNCT
cana-523	153	11	v.	v.	ADP
cana-523	153	12	m.	m.	NOUN
cana-523	153	13	(	(	PUNCT
cana-523	153	14	2016	2016	NUM
cana-523	153	15	)	)	PUNCT
cana-523	153	16	.	.	PUNCT
cana-523	154	1	a	a	DET
cana-523	154	2	seamless	seamless	ADJ
cana-523	154	3	mobile	mobile	ADJ
cana-523	154	4	learning	learning	NOUN
cana-523	154	5	and	and	CCONJ
cana-523	154	6	tension	tension	NOUN
cana-523	154	7	free	free	ADJ
cana-523	154	8	lifestyle	lifestyle	NOUN
cana-523	154	9	by	by	ADP
cana-523	154	10	qos	qos	PROPN
cana-523	154	11	oriented	orient	VERB
cana-523	154	12	mobile	mobile	ADJ
cana-523	154	13	handoff	handoff	NOUN
cana-523	154	14	.	.	PUNCT
cana-523	155	1	asian	asian	ADJ
cana-523	155	2	journal	journal	PROPN
cana-523	155	3	of	of	ADP
cana-523	155	4	research	research	NOUN
cana-523	155	5	in	in	ADP
cana-523	155	6	social	social	ADJ
cana-523	155	7	sciences	science	NOUN
cana-523	155	8	and	and	CCONJ
cana-523	155	9	humanities	humanity	NOUN
cana-523	155	10	,	,	PUNCT
cana-523	155	11	6(7	6(7	NUM
cana-523	155	12	)	)	PUNCT
cana-523	155	13	,	,	PUNCT
cana-523	155	14	374	374	NUM
cana-523	155	15	-	-	SYM
cana-523	155	16	389	389	NUM
cana-523	155	17	.	.	PUNCT
cana-523	156	1	[	[	X
cana-523	156	2	4	4	NUM
cana-523	156	3	]	]	X
cana-523	156	4	zhang	zhang	PROPN
cana-523	156	5	,	,	PUNCT
cana-523	156	6	m.	m.	NOUN
cana-523	156	7	,	,	PUNCT
cana-523	156	8	song	song	NOUN
cana-523	156	9	,	,	PUNCT
cana-523	156	10	h.	h.	PROPN
cana-523	156	11	,	,	PUNCT
cana-523	156	12	lim	lim	PROPN
cana-523	156	13	,	,	PUNCT
cana-523	156	14	s.	s.	PROPN
cana-523	156	15	,	,	PUNCT
cana-523	156	16	akiyama	akiyama	PROPN
cana-523	156	17	,	,	PUNCT
cana-523	156	18	m.	m.	NOUN
cana-523	156	19	,	,	PUNCT
cana-523	156	20	&	&	CCONJ
cana-523	156	21	frangopol	frangopol	PROPN
cana-523	156	22	,	,	PUNCT
cana-523	156	23	d.	d.	PROPN
cana-523	156	24	m.	m.	PROPN
cana-523	156	25	(	(	PUNCT
cana-523	156	26	2019	2019	NUM
cana-523	156	27	)	)	PUNCT
cana-523	156	28	.	.	PUNCT
cana-523	157	1	reliability	reliability	NOUN
cana-523	157	2	estimation	estimation	NOUN
cana-523	157	3	of	of	ADP
cana-523	157	4	corroded	corroded	PROPN
cana-523	157	5	rc	rc	PROPN
cana-523	157	6	structures	structure	NOUN
cana-523	157	7	based	base	VERB
cana-523	157	8	on	on	ADP
cana-523	157	9	spatial	spatial	ADJ
cana-523	157	10	variability	variability	NOUN
cana-523	157	11	using	use	VERB
cana-523	157	12	experimental	experimental	ADJ
cana-523	157	13	evidence	evidence	NOUN
cana-523	157	14	,	,	PUNCT
cana-523	157	15	probabilistic	probabilistic	VERB
cana-523	157	16	analysis	analysis	NOUN
cana-523	157	17	and	and	CCONJ
cana-523	157	18	finite	finite	ADJ
cana-523	157	19	element	element	NOUN
cana-523	157	20	method	method	NOUN
cana-523	157	21	.	.	PUNCT
cana-523	158	1	engineering	engineering	NOUN
cana-523	158	2	structures	structure	NOUN
cana-523	158	3	,	,	PUNCT
cana-523	158	4	192	192	NUM
cana-523	158	5	,	,	PUNCT
cana-523	158	6	30	30	NUM
cana-523	158	7	-	-	SYM
cana-523	158	8	52	52	NUM
cana-523	158	9	.	.	PUNCT
cana-523	159	1	[	[	X
cana-523	159	2	5	5	NUM
cana-523	159	3	]	]	X
cana-523	159	4	jagdish	jagdish	PROPN
cana-523	159	5	,	,	PUNCT
cana-523	159	6	m.	m.	NOUN
cana-523	159	7	,	,	PUNCT
cana-523	159	8	anand	anand	PROPN
cana-523	159	9	,	,	PUNCT
cana-523	159	10	n.	n.	PROPN
cana-523	159	11	,	,	PUNCT
cana-523	159	12	gaurav	gaurav	PROPN
cana-523	159	13	,	,	PUNCT
cana-523	159	14	k.	k.	PROPN
cana-523	159	15	,	,	PUNCT
cana-523	159	16	baseer	baseer	PROPN
cana-523	159	17	,	,	PUNCT
cana-523	159	18	s.	s.	PROPN
cana-523	159	19	,	,	PUNCT
cana-523	159	20	alqahtani	alqahtani	PROPN
cana-523	159	21	,	,	PUNCT
cana-523	159	22	a.	a.	PROPN
cana-523	159	23	,	,	PUNCT
cana-523	159	24	&	&	CCONJ
cana-523	159	25	saravanan	saravanan	PROPN
cana-523	159	26	,	,	PUNCT
cana-523	159	27	v.	v.	PROPN
cana-523	159	28	(	(	PUNCT
cana-523	159	29	2022	2022	NUM
cana-523	159	30	)	)	PUNCT
cana-523	159	31	.	.	PUNCT
cana-523	160	1	multihoming	multihome	VERB
cana-523	160	2	big	big	ADJ
cana-523	160	3	data	datum	NOUN
cana-523	160	4	network	network	NOUN
cana-523	160	5	using	use	VERB
cana-523	160	6	blockchain	blockchain	PROPN
cana-523	160	7	-	-	PUNCT
cana-523	160	8	based	base	VERB
cana-523	160	9	query	query	NOUN
cana-523	160	10	optimization	optimization	NOUN
cana-523	160	11	scheme	scheme	NOUN
cana-523	160	12	.	.	PUNCT
cana-523	161	1	wireless	wireless	ADJ
cana-523	161	2	communications	communication	NOUN
cana-523	161	3	and	and	CCONJ
cana-523	161	4	mobile	mobile	NOUN
cana-523	161	5	computing	computing	NOUN
cana-523	161	6	,	,	PUNCT
cana-523	161	7	2022	2022	NUM
cana-523	161	8	.	.	PUNCT
cana-523	162	1	[	[	X
cana-523	162	2	6	6	NUM
cana-523	162	3	]	]	SYM
cana-523	162	4	sidorov	sidorov	NOUN
cana-523	162	5	,	,	PUNCT
cana-523	162	6	p.	p.	PROPN
cana-523	162	7	,	,	PUNCT
cana-523	162	8	naulaerts	naulaert	NOUN
cana-523	162	9	,	,	PUNCT
cana-523	162	10	s.	s.	PROPN
cana-523	162	11	,	,	PUNCT
cana-523	162	12	ariey	ariey	NOUN
cana-523	162	13	-	-	PUNCT
cana-523	162	14	bonnet	bonnet	NOUN
cana-523	162	15	,	,	PUNCT
cana-523	162	16	j.	j.	PROPN
cana-523	162	17	,	,	PUNCT
cana-523	162	18	pasquier	pasquier	PROPN
cana-523	162	19	,	,	PUNCT
cana-523	162	20	e.	e.	PROPN
cana-523	162	21	,	,	PUNCT
cana-523	162	22	&	&	CCONJ
cana-523	162	23	ballester	ballester	PROPN
cana-523	162	24	,	,	PUNCT
cana-523	162	25	p.	p.	PROPN
cana-523	162	26	j.	j.	PROPN
cana-523	162	27	(	(	PUNCT
cana-523	162	28	2019	2019	NUM
cana-523	162	29	)	)	PUNCT
cana-523	162	30	.	.	PUNCT
cana-523	163	1	predicting	predict	VERB
cana-523	163	2	synergism	synergism	NOUN
cana-523	163	3	of	of	ADP
cana-523	163	4	cancer	cancer	NOUN
cana-523	163	5	drug	drug	NOUN
cana-523	163	6	combinations	combination	NOUN
cana-523	163	7	using	use	VERB
cana-523	163	8	nci	nci	PROPN
cana-523	163	9	-	-	PUNCT
cana-523	163	10	almanac	almanac	NOUN
cana-523	163	11	data	datum	NOUN
cana-523	163	12	.	.	PUNCT
cana-523	164	1	frontiers	frontier	NOUN
cana-523	164	2	in	in	ADP
cana-523	164	3	chemistry	chemistry	NOUN
cana-523	164	4	,	,	PUNCT
cana-523	164	5	7	7	NUM
cana-523	164	6	,	,	PUNCT
cana-523	164	7	509	509	NUM
cana-523	164	8	.	.	PUNCT
cana-523	165	1	[	[	X
cana-523	165	2	7	7	NUM
cana-523	165	3	]	]	ADJ
cana-523	165	4	gobinathan	gobinathan	NOUN
cana-523	165	5	,	,	PUNCT
cana-523	165	6	b.	b.	PROPN
cana-523	165	7	,	,	PUNCT
cana-523	165	8	mukunthan	mukunthan	PROPN
cana-523	165	9	,	,	PUNCT
cana-523	165	10	m.	m.	NOUN
cana-523	165	11	a.	a.	PROPN
cana-523	165	12	,	,	PUNCT
cana-523	165	13	surendran	surendran	NOUN
cana-523	165	14	,	,	PUNCT
cana-523	165	15	s.	s.	PROPN
cana-523	165	16	,	,	PUNCT
cana-523	165	17	somasundaram	somasundaram	PROPN
cana-523	165	18	,	,	PUNCT
cana-523	165	19	k.	k.	PROPN
cana-523	165	20	,	,	PUNCT
cana-523	165	21	moeed	moeed	PROPN
cana-523	165	22	,	,	PUNCT
cana-523	165	23	s.	s.	PROPN
cana-523	165	24	a.	a.	PROPN
cana-523	165	25	,	,	PUNCT
cana-523	165	26	niranjan	niranjan	PROPN
cana-523	165	27	,	,	PUNCT
cana-523	165	28	p.	p.	PROPN
cana-523	165	29	,	,	PUNCT
cana-523	165	30	...	...	PUNCT
cana-523	165	31	&	&	CCONJ
cana-523	165	32	sundramurthy	sundramurthy	PROPN
cana-523	165	33	,	,	PUNCT
cana-523	165	34	v.	v.	PROPN
cana-523	165	35	p.	p.	NOUN
cana-523	165	36	(	(	PUNCT
cana-523	165	37	2021	2021	NUM
cana-523	165	38	)	)	PUNCT
cana-523	165	39	.	.	PUNCT
cana-523	166	1	a	a	DET
cana-523	166	2	novel	novel	ADJ
cana-523	166	3	method	method	NOUN
cana-523	166	4	to	to	PART
cana-523	166	5	solve	solve	VERB
cana-523	166	6	real	real	ADJ
cana-523	166	7	time	time	NOUN
cana-523	166	8	security	security	NOUN
cana-523	166	9	issues	issue	NOUN
cana-523	166	10	in	in	ADP
cana-523	166	11	software	software	NOUN
cana-523	166	12	industry	industry	NOUN
cana-523	166	13	using	use	VERB
cana-523	166	14	advanced	advanced	ADJ
cana-523	166	15	cryptographic	cryptographic	ADJ
cana-523	166	16	techniques	technique	NOUN
cana-523	166	17	.	.	PUNCT
cana-523	167	1	scientific	scientific	ADJ
cana-523	167	2	programming	programming	NOUN
cana-523	167	3	,	,	PUNCT
cana-523	167	4	2021	2021	NUM
cana-523	167	5	,	,	PUNCT
cana-523	167	6	1	1	NUM
cana-523	167	7	-	-	SYM
cana-523	167	8	9	9	NUM
cana-523	167	9	.	.	PUNCT
cana-523	168	1	[	[	X
cana-523	168	2	8	8	NUM
cana-523	168	3	]	]	X
cana-523	168	4	thota	thota	ADJ
cana-523	168	5	,	,	PUNCT
cana-523	168	6	m.	m.	NOUN
cana-523	168	7	k.	k.	PROPN
cana-523	168	8	,	,	PUNCT
cana-523	168	9	shajin	shajin	VERB
cana-523	168	10	,	,	PUNCT
cana-523	168	11	f.	f.	PROPN
cana-523	168	12	h.	h.	PROPN
cana-523	168	13	,	,	PUNCT
cana-523	168	14	&	&	CCONJ
cana-523	168	15	rajesh	rajesh	PROPN
cana-523	168	16	,	,	PUNCT
cana-523	168	17	p.	p.	NOUN
cana-523	168	18	(	(	PUNCT
cana-523	168	19	2020	2020	NUM
cana-523	168	20	)	)	PUNCT
cana-523	168	21	.	.	PUNCT
cana-523	169	1	survey	survey	NOUN
cana-523	169	2	on	on	ADP
cana-523	169	3	software	software	NOUN
cana-523	169	4	defect	defect	NOUN
cana-523	169	5	prediction	prediction	NOUN
cana-523	169	6	techniques	technique	NOUN
cana-523	169	7	.	.	PUNCT
cana-523	170	1	international	international	ADJ
cana-523	170	2	journal	journal	NOUN
cana-523	170	3	of	of	ADP
cana-523	170	4	applied	apply	VERB
cana-523	170	5	science	science	NOUN
cana-523	170	6	and	and	CCONJ
cana-523	170	7	engineering	engineering	NOUN
cana-523	170	8	,	,	PUNCT
cana-523	170	9	17(4	17(4	NUM
cana-523	170	10	)	)	PUNCT
cana-523	170	11	,	,	PUNCT
cana-523	170	12	331	331	NUM
cana-523	170	13	-	-	SYM
cana-523	170	14	344	344	NUM
cana-523	170	15	.	.	PUNCT
cana-523	171	1	[	[	X
cana-523	171	2	9	9	NUM
cana-523	171	3	]	]	SYM
cana-523	171	4	horkoff	horkoff	NOUN
cana-523	171	5	,	,	PUNCT
cana-523	171	6	j.	j.	PROPN
cana-523	171	7	(	(	PUNCT
cana-523	171	8	2019	2019	NUM
cana-523	171	9	,	,	PUNCT
cana-523	171	10	september	september	PROPN
cana-523	171	11	)	)	PUNCT
cana-523	171	12	.	.	PUNCT
cana-523	172	1	non	non	ADJ
cana-523	172	2	-	-	ADJ
cana-523	172	3	functional	functional	ADJ
cana-523	172	4	requirements	requirement	NOUN
cana-523	172	5	for	for	ADP
cana-523	172	6	machine	machine	NOUN
cana-523	172	7	learning	learning	NOUN
cana-523	172	8	:	:	PUNCT
cana-523	172	9	challenges	challenge	NOUN
cana-523	172	10	and	and	CCONJ
cana-523	172	11	new	new	ADJ
cana-523	172	12	directions	direction	NOUN
cana-523	172	13	.	.	PUNCT
cana-523	173	1	in	in	ADP
cana-523	173	2	2019	2019	NUM
cana-523	173	3	ieee	ieee	NOUN
cana-523	173	4	27th	27th	ADJ
cana-523	173	5	international	international	ADJ
cana-523	173	6	requirements	requirement	NOUN
cana-523	173	7	engineering	engineering	NOUN
cana-523	173	8	conference	conference	NOUN
cana-523	173	9	(	(	PUNCT
cana-523	173	10	re	re	NOUN
cana-523	173	11	)	)	PUNCT
cana-523	173	12	(	(	PUNCT
cana-523	173	13	pp	pp	ADJ
cana-523	173	14	.	.	PUNCT
cana-523	174	1	386	386	NUM
cana-523	174	2	-	-	SYM
cana-523	174	3	391	391	NUM
cana-523	174	4	)	)	PUNCT
cana-523	174	5	.	.	PUNCT
cana-523	175	1	ieee	ieee	PROPN
cana-523	175	2	.	.	PUNCT
cana-523	176	1	[	[	X
cana-523	176	2	10	10	NUM
cana-523	176	3	]	]	X
cana-523	176	4	poongodi	poongodi	NOUN
cana-523	176	5	,	,	PUNCT
cana-523	176	6	m.	m.	NOUN
cana-523	176	7	,	,	PUNCT
cana-523	176	8	malviya	malviya	PROPN
cana-523	176	9	,	,	PUNCT
cana-523	176	10	m.	m.	NOUN
cana-523	176	11	,	,	PUNCT
cana-523	176	12	kumar	kumar	PROPN
cana-523	176	13	,	,	PUNCT
cana-523	176	14	c.	c.	PROPN
cana-523	176	15	,	,	PUNCT
cana-523	176	16	hamdi	hamdi	PROPN
cana-523	176	17	,	,	PUNCT
cana-523	176	18	m.	m.	NOUN
cana-523	176	19	,	,	PUNCT
cana-523	176	20	vijayakumar	vijayakumar	PROPN
cana-523	176	21	,	,	PUNCT
cana-523	176	22	v.	v.	PROPN
cana-523	176	23	,	,	PUNCT
cana-523	176	24	nebhen	nebhen	ADV
cana-523	176	25	,	,	PUNCT
cana-523	176	26	j.	j.	PROPN
cana-523	176	27	,	,	PUNCT
cana-523	176	28	&	&	CCONJ
cana-523	176	29	alyamani	alyamani	PROPN
cana-523	176	30	,	,	PUNCT
cana-523	176	31	h.	h.	PROPN
cana-523	176	32	(	(	PUNCT
cana-523	176	33	2022	2022	NUM
cana-523	176	34	)	)	PUNCT
cana-523	176	35	.	.	PUNCT
cana-523	177	1	new	new	PROPN
cana-523	177	2	york	york	PROPN
cana-523	177	3	city	city	PROPN
cana-523	177	4	taxi	taxi	NOUN
cana-523	177	5	trip	trip	NOUN
cana-523	177	6	duration	duration	NOUN
cana-523	177	7	prediction	prediction	NOUN
cana-523	177	8	using	use	VERB
cana-523	177	9	mlp	mlp	PROPN
cana-523	177	10	and	and	CCONJ
cana-523	177	11	xgboost	xgboost	NOUN
cana-523	177	12	.	.	PUNCT
cana-523	178	1	international	international	ADJ
cana-523	178	2	journal	journal	PROPN
cana-523	178	3	of	of	ADP
cana-523	178	4	system	system	NOUN
cana-523	178	5	assurance	assurance	NOUN
cana-523	178	6	engineering	engineering	NOUN
cana-523	178	7	and	and	CCONJ
cana-523	178	8	management	management	NOUN
cana-523	178	9	,	,	PUNCT
cana-523	178	10	1	1	NUM
cana-523	178	11	-	-	SYM
cana-523	178	12	12	12	NUM
cana-523	178	13	.	.	PUNCT
cana-523	179	1	[	[	X
cana-523	179	2	11	11	NUM
cana-523	179	3	]	]	X
cana-523	179	4	rahman	rahman	PROPN
cana-523	179	5	,	,	PUNCT
cana-523	179	6	m.	m.	NOUN
cana-523	179	7	m.	m.	NOUN
cana-523	179	8	,	,	PUNCT
cana-523	179	9	shakeri	shakeri	PROPN
cana-523	179	10	,	,	PUNCT
cana-523	179	11	m.	m.	NOUN
cana-523	179	12	,	,	PUNCT
cana-523	179	13	tiong	tiong	PROPN
cana-523	179	14	,	,	PUNCT
cana-523	179	15	s.	s.	PROPN
cana-523	179	16	k.	k.	PROPN
cana-523	179	17	,	,	PUNCT
cana-523	179	18	khatun	khatun	PROPN
cana-523	179	19	,	,	PUNCT
cana-523	179	20	f.	f.	PROPN
cana-523	179	21	,	,	PUNCT
cana-523	179	22	amin	amin	PROPN
cana-523	179	23	,	,	PUNCT
cana-523	179	24	n.	n.	NOUN
cana-523	179	25	,	,	PUNCT
cana-523	179	26	pasupuleti	pasupuleti	PROPN
cana-523	179	27	,	,	PUNCT
cana-523	179	28	j.	j.	PROPN
cana-523	179	29	,	,	PUNCT
cana-523	179	30	&	&	CCONJ
cana-523	179	31	hasan	hasan	PROPN
cana-523	179	32	,	,	PUNCT
cana-523	179	33	m.	m.	PROPN
cana-523	179	34	k.	k.	PROPN
cana-523	179	35	(	(	PUNCT
cana-523	179	36	2021	2021	NUM
cana-523	179	37	)	)	PUNCT
cana-523	179	38	.	.	PUNCT
cana-523	180	1	prospective	prospective	ADJ
cana-523	180	2	methodologies	methodology	NOUN
cana-523	180	3	in	in	ADP
cana-523	180	4	hybrid	hybrid	ADJ
cana-523	180	5	renewable	renewable	ADJ
cana-523	180	6	energy	energy	NOUN
cana-523	180	7	systems	system	NOUN
cana-523	180	8	for	for	ADP
cana-523	180	9	energy	energy	NOUN
cana-523	180	10	prediction	prediction	NOUN
cana-523	180	11	using	use	VERB
cana-523	180	12	artificial	artificial	ADJ
cana-523	180	13	neural	neural	ADJ
cana-523	180	14	networks	network	NOUN
cana-523	180	15	.	.	PUNCT
cana-523	181	1	sustainability	sustainability	NOUN
cana-523	181	2	,	,	PUNCT
cana-523	181	3	13(4	13(4	NUM
cana-523	181	4	)	)	PUNCT
cana-523	181	5	,	,	PUNCT
cana-523	181	6	2393	2393	NUM
cana-523	181	7	.	.	PUNCT
cana-523	182	1	[	[	X
cana-523	182	2	12	12	NUM
cana-523	182	3	]	]	X
cana-523	182	4	zhang	zhang	PROPN
cana-523	182	5	,	,	PUNCT
cana-523	182	6	y.	y.	PROPN
cana-523	182	7	,	,	PUNCT
cana-523	182	8	wen	wen	PROPN
cana-523	182	9	,	,	PUNCT
cana-523	182	10	c.	c.	PROPN
cana-523	182	11	,	,	PUNCT
cana-523	182	12	wang	wang	PROPN
cana-523	182	13	,	,	PUNCT
cana-523	182	14	c.	c.	PROPN
cana-523	182	15	,	,	PUNCT
cana-523	182	16	antonov	antonov	PROPN
cana-523	182	17	,	,	PUNCT
cana-523	182	18	s.	s.	PROPN
cana-523	182	19	,	,	PUNCT
cana-523	182	20	xue	xue	PROPN
cana-523	182	21	,	,	PUNCT
cana-523	182	22	d.	d.	PROPN
cana-523	182	23	,	,	PUNCT
cana-523	182	24	bai	bai	PROPN
cana-523	182	25	,	,	PUNCT
cana-523	182	26	y.	y.	PROPN
cana-523	182	27	,	,	PUNCT
cana-523	182	28	&	&	CCONJ
cana-523	182	29	su	su	PROPN
cana-523	182	30	,	,	PUNCT
cana-523	182	31	y.	y.	PROPN
cana-523	182	32	(	(	PUNCT
cana-523	182	33	2020	2020	NUM
cana-523	182	34	)	)	PUNCT
cana-523	182	35	.	.	PUNCT
cana-523	183	1	phase	phase	NOUN
cana-523	183	2	prediction	prediction	NOUN
cana-523	183	3	in	in	ADP
cana-523	183	4	high	high	ADJ
cana-523	183	5	entropy	entropy	NOUN
cana-523	183	6	alloys	alloy	NOUN
cana-523	183	7	with	with	ADP
cana-523	183	8	a	a	DET
cana-523	183	9	rational	rational	ADJ
cana-523	183	10	selection	selection	NOUN
cana-523	183	11	of	of	ADP
cana-523	183	12	materials	material	NOUN
cana-523	183	13	descriptors	descriptor	NOUN
cana-523	183	14	and	and	CCONJ
cana-523	183	15	machine	machine	NOUN
cana-523	183	16	learning	learning	NOUN
cana-523	183	17	models	model	NOUN
cana-523	183	18	.	.	PUNCT
cana-523	184	1	acta	acta	PROPN
cana-523	184	2	materialia	materialia	PROPN
cana-523	184	3	,	,	PUNCT
cana-523	184	4	185	185	NUM
cana-523	184	5	,	,	PUNCT
cana-523	184	6	528	528	NUM
cana-523	184	7	-	-	SYM
cana-523	184	8	539	539	NUM
cana-523	184	9	.	.	PUNCT
cana-523	185	1	[	[	X
cana-523	185	2	13	13	NUM
cana-523	185	3	]	]	SYM
cana-523	185	4	krishna	krishna	PROPN
cana-523	185	5	,	,	PUNCT
cana-523	185	6	p.	p.	PROPN
cana-523	185	7	g.	g.	PROPN
cana-523	185	8	,	,	PUNCT
cana-523	185	9	&	&	CCONJ
cana-523	185	10	stalindavid	stalindavid	PROPN
cana-523	185	11	,	,	PUNCT
cana-523	185	12	d.	d.	PROPN
cana-523	185	13	(	(	PUNCT
cana-523	185	14	2021	2021	NUM
cana-523	185	15	)	)	PUNCT
cana-523	185	16	.	.	PUNCT
cana-523	186	1	an	an	DET
cana-523	186	2	effective	effective	ADJ
cana-523	186	3	parkinson	parkinson	NOUN
cana-523	186	4	's	's	PART
cana-523	186	5	disease	disease	NOUN
cana-523	186	6	prediction	prediction	NOUN
cana-523	186	7	using	use	VERB
cana-523	186	8	logistic	logistic	ADJ
cana-523	186	9	decision	decision	NOUN
cana-523	186	10	regression	regression	NOUN
cana-523	186	11	and	and	CCONJ
cana-523	186	12	machine	machine	NOUN
cana-523	186	13	learning	learn	VERB
cana-523	186	14	with	with	ADP
cana-523	186	15	big	big	ADJ
cana-523	186	16	data	datum	NOUN
cana-523	186	17	.	.	PUNCT
cana-523	187	1	turkish	turkish	ADJ
cana-523	187	2	journal	journal	PROPN
cana-523	187	3	of	of	ADP
cana-523	187	4	physiotherapy	physiotherapy	NOUN
cana-523	187	5	and	and	CCONJ
cana-523	187	6	rehabilitation	rehabilitation	NOUN
cana-523	187	7	,	,	PUNCT
cana-523	187	8	32(3	32(3	NUM
cana-523	187	9	)	)	PUNCT
cana-523	187	10	,	,	PUNCT
cana-523	187	11	778	778	NUM
cana-523	187	12	-	-	SYM
cana-523	187	13	786	786	NUM
cana-523	187	14	.	.	PUNCT
cana-523	188	1	communications	communication	NOUN
cana-523	188	2	on	on	ADP
cana-523	188	3	applied	apply	VERB
cana-523	188	4	nonlinear	nonlinear	ADJ
cana-523	188	5	analysis	analysis	NOUN
cana-523	188	6	issn	issn	NOUN
cana-523	188	7	:	:	PUNCT
cana-523	188	8	1074	1074	NUM
cana-523	188	9	-	-	PUNCT
cana-523	188	10	133x	133x	NUM
cana-523	188	11	vol	vol	NOUN
cana-523	188	12	31	31	NUM
cana-523	188	13	no	no	NOUN
cana-523	188	14	.	.	NOUN
cana-523	188	15	2	2	NUM
cana-523	188	16	(	(	PUNCT
cana-523	188	17	2024	2024	NUM
cana-523	188	18	)	)	PUNCT
cana-523	189	1	118	118	NUM
cana-523	189	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-523	189	3	[	[	X
cana-523	189	4	14	14	NUM
cana-523	189	5	]	]	X
cana-523	189	6	lwakatare	lwakatare	PROPN
cana-523	189	7	,	,	PUNCT
cana-523	189	8	l.	l.	PROPN
cana-523	189	9	e.	e.	PROPN
cana-523	189	10	,	,	PUNCT
cana-523	189	11	raj	raj	PROPN
cana-523	189	12	,	,	PUNCT
cana-523	189	13	a.	a.	PROPN
cana-523	189	14	,	,	PUNCT
cana-523	189	15	bosch	bosch	PROPN
cana-523	189	16	,	,	PUNCT
cana-523	189	17	j.	j.	PROPN
cana-523	189	18	,	,	PUNCT
cana-523	189	19	olsson	olsson	PROPN
cana-523	189	20	,	,	PUNCT
cana-523	189	21	h.	h.	PROPN
cana-523	189	22	h.	h.	PROPN
cana-523	189	23	,	,	PUNCT
cana-523	189	24	&	&	CCONJ
cana-523	189	25	crnkovic	crnkovic	PROPN
cana-523	189	26	,	,	PUNCT
cana-523	189	27	i.	i.	NOUN
cana-523	189	28	(	(	PUNCT
cana-523	189	29	2019	2019	NUM
cana-523	189	30	)	)	PUNCT
cana-523	189	31	.	.	PUNCT
cana-523	190	1	a	a	DET
cana-523	190	2	taxonomy	taxonomy	NOUN
cana-523	190	3	of	of	ADP
cana-523	190	4	software	software	NOUN
cana-523	190	5	engineering	engineering	NOUN
cana-523	190	6	challenges	challenge	NOUN
cana-523	190	7	for	for	ADP
cana-523	190	8	machine	machine	NOUN
cana-523	190	9	learning	learn	VERB
cana-523	190	10	systems	system	NOUN
cana-523	190	11	:	:	PUNCT
cana-523	190	12	an	an	DET
cana-523	190	13	empirical	empirical	ADJ
cana-523	190	14	investigation	investigation	NOUN
cana-523	190	15	.	.	PUNCT
cana-523	191	1	in	in	ADP
cana-523	191	2	agile	agile	ADJ
cana-523	191	3	processes	process	NOUN
cana-523	191	4	in	in	ADP
cana-523	191	5	software	software	NOUN
cana-523	191	6	engineering	engineering	NOUN
cana-523	191	7	and	and	CCONJ
cana-523	191	8	extreme	extreme	ADJ
cana-523	191	9	programming	programming	NOUN
cana-523	191	10	:	:	PUNCT
cana-523	191	11	20th	20th	ADJ
cana-523	191	12	international	international	ADJ
cana-523	191	13	conference	conference	NOUN
cana-523	191	14	,	,	PUNCT
cana-523	191	15	xp	xp	ADV
cana-523	191	16	2019	2019	NUM
cana-523	191	17	,	,	PUNCT
cana-523	191	18	montréal	montréal	PROPN
cana-523	191	19	,	,	PUNCT
cana-523	191	20	qc	qc	PROPN
cana-523	191	21	,	,	PUNCT
cana-523	191	22	canada	canada	PROPN
cana-523	191	23	,	,	PUNCT
cana-523	191	24	may	may	AUX
cana-523	191	25	21–25	21–25	NUM
cana-523	191	26	,	,	PUNCT
cana-523	191	27	2019	2019	NUM
cana-523	191	28	,	,	PUNCT
cana-523	191	29	proceedings	proceeding	NOUN
cana-523	191	30	20	20	NUM
cana-523	191	31	(	(	PUNCT
cana-523	191	32	pp	pp	ADJ
cana-523	191	33	.	.	PUNCT
cana-523	192	1	227	227	NUM
cana-523	192	2	-	-	SYM
cana-523	192	3	243	243	NUM
cana-523	192	4	)	)	PUNCT
cana-523	192	5	.	.	PUNCT
cana-523	193	1	springer	springer	NOUN
cana-523	193	2	international	international	ADJ
cana-523	193	3	publishing	publishing	NOUN
cana-523	193	4	.	.	PUNCT